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</style>
<title>Draft Force Prediction of Narrow Tillage Tool Using the Finite Element Method</title>
<meta content="FEM, Simulation Model, Soil Mechanical PropertiesMEF, fuerza de tracción, modelo de simulación, propiedades mecánicas del suelo" name="keywords">
<meta content="Luis Orlando Marín Cabrera" name="author">
<meta content="Armando Eloy García de la Figal Costales" name="author">
<meta content="Arturo Martínez Rodríguez" name="author">
<meta content="index, follow" name="robots">
<meta content="This article is under license Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0); URL=https://creativecommons.org/licenses/by-nc/4.0" name="copyright">
<meta content="Cervantes-Producciones Digital; URL=https://www.edicionescervantes.com" name="organization">
<meta content="en" name="lang">
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ZYWbneEa%20ww2AGFpmGOO1wd9lsv5geS3o381EK1vl1/jsyX6RFvKvARQBeo5AlbU+rIiWs13BJZ8QwnB/JbKB%20cVUb/LtYeMJS/fGF4eNtdC8TVX/U4+BRMrBHnjoo68MSK1BwCeVmoblRfl2zIPCiDiXCh+7TZjEZ%20FM6D/E8vjtqEGyJTvQLcWWGWRx1eN5EVkyknL7JnPtSPaIGLAYhxQsbUXI+6c0F+1vWQnwZBCyqD%207Q9/LRIQZO+bJOjKKSc+22paYrXOZYFIJeJt/ykSXujnIZ6CUO47MuvQo4qimli5I4Th/gpD/GK8%20Hz6oK1MOfFOkfl3sJSEJQiELe++V+h4IWEdVpSwolR7L8QEzBOTo3iN7uo4u/PnPdt732eUrhw5s%20MqBHYuQkIep9KayS6F0xS5nI1w3GRj46OR2QBSn/E601rbnySX6EERBErkus8Uo9m4fwzE8U9hbd%20b36xPlnrHj8ZyEtskKS38pFfsW3NZv368pJLzZomv3h3Kh/hEAzkwg2zv3t04v2roj145ypCf2HC%20F27AnXCWSSqUxrfywg6q2Ybjd1JiIhzeIm38aix3dyQwqQRFInnlssT9Wr4ytJFTDiINimo6LR2d%203CuMWU2bE6py6gj1jgaM7hqDSXHsylcVKWQfuJlUjWu1XGSnWK/Di/A4oZMDdLzB6H4k1DFQiGam%20uXfwoU9uAxG5KEOAEiUj5bYHDj2sjOVZQ7tzaAgyFngbU6tZUuauJa1jioQ9d4T+0nAlprNfudtl%20GJX/rpj8XLkIkSAwBf7nx8qRf6uOD6vhIBCVefU4P0lxTZKWI/3u14sXZgrdKjFJmXNy8t9QmV/A%20Jg3L7Otex5kLtUm49u9sknSpC8/RDy8SLh1TSZm2hx8MbNkuKcpJa3wu80CIJ0ty/n+S33tvdKDo%20T2qWjMBgut5qv613sgqw544QhvsrTmVixQ75x6HsjSKDmmoo5qDlEnM8aQjic9W7Xu0+SJ3uJrJo%20GSz5G33nJZNDQVNiRDhx6TziN8P5lMUEi0g7A+GwPyVkLAEkS6NdWsGCtMv+9GAgAqE2OdRUGHzN%201NVXs9rlZF/UzXKXnvJFABc4FxhbYAoq1CSgXIamSFobem9HbRqnmkEIw/0VSQBFmDKbvwvKBaOD%20IKtgZmnYFPlzLnAqcDKuWo3vz2sCzOjg699kh0pSoQyTjitx8vTAd5v25t2eV09l3jk5rthbH6W9%20fXCsH7Y/ImSWFQsfmNgzN1vIEOmp7oxfZDMYsRy7RKol4cr3OrIATe1MeFOuYHHh1IuuevkuC0RI%20i95T5ItQGAPe9kNXWxxQXWy4I/SXhxdUXwJcf96Y/p7PSuHA3kOBYF3ZuiUyx5Et6blC0XSgdTA4%20vc1QVhnFMoz10l7NaH6j3t1J9Z3RlCAoIpRdPjyzED6/vPwcN1Xnzr7Guu3bsvb92JTkRN+eufxj%20thfl8VZ3pG0quznUlFcohaIN/dQqXJV1HKlvl9g4DjQJogbqw6FUSTYFl4qnbKCrEtRuj+QXmJOq%20vbih1R7+3vzGI0+u74EQwnB/JXZmNGiNH9or3BWb+vr+bRtrTdgt6Aku1IHoEi6CPwjmj/eGSkAm%20S+zQ0kxHGwwO81/8h9h0OHwQjAs/l58/C+ZPwXRpYvsPA6v2hIetvLvOXHkNkwwwCxCNQrMotlpK%202AvpGFUEt5yD2XN5vM16eLQQ32A7oUD/q6fPucaJqBBJuMW7yKZ/DjclSVdTMVVnj62c6N0irxmL%20EpXxp/+AvG3jrneWwMhhYnEV+rcKgSV2edmXUuSOlpqtWLYjhOH+CmZDcwpGDry+q2S97V1Qfmu2%20swv0QTH7i6o4F3qJFQIhRQQmci/rSy4bm1Na/Eb/XtaZGXjiI7GF42GNKpQZkn87Egw9LjX3SOn2%20puia1fqPbrnrHqP1fcWZbdD7KB3poZmZ2VIZYlukSL2baoEHbhOEO0L1Ysr6+yvpr26L7Q6MtBdr%201jCvQo/o4syhqDIC5Sr78s/r4ACrdvtuk1qzKhHAH2fjkB5iBVzaQMXukCG/L62q/B0LIJOFJ7be%20cNnlDr6xCGG4v+IJUBU3EhPQ2wXBGFy4GobanMdvMycaHO3qYv+jajEri5NSa1HeHSu1fbAwpwmc%20EoSCkGkw9qSlIcmK/lbVB+zBacZujq5k7sia1vM/90+b77yndQB6fwo5XQyPKgstyr80ZuxV4jcn%20R/da/U1mOQ/LJmj2innnfeYfH/zDnbP7Avf/mOtWSSkLPY9K44kSLVG5xZYJWDqsusx9RMoO3phs%20Bqk7brCIk2vXxTa27+dR3mJdej4XbDjSBdSGtpSpyvimInTW4GIdL6l3w2/RWCY8sh+KAdCi8MAf%206HVvYiEFTBeGMrDn30Nt/UGL2G6E9LeU21+j5zZp4kNh/XWZQJLFvp2iGncFHlBAAzJKhMNX1cy6%20Y7iZCrZDCOEykAPUXPC9qZEDAvt6TWOYmo4/7EZifG+dkFlUs+zuYVWlOueGCV49PiU55AsTkzeH%204oMqvTZn19rTvwm3ZGS3zAVXGrg4e+H7zRAHRYX+fvLww+TN72CHdsGyFCxorcxMANhtR+iswdEy%20LyWVKJQ1uPR8KPSSh/4tWB+hscoULnkbHvtWoP0gCf3Lp2o+99nqSaftULj8leqWh+NNTIqLdOGF%207nCDHiNCtUwDnLolOh0pXH7NLv2SXH+JmRbXTTjsWOHrczaD1EI3fXF2oOha3td16AS74U2jK9fs%20HgEmWDQMtEamxCH5paXFiyECtL2kxm+ucv4zOX84INty+y2/FK5Y13SX8uDPRSHoH5JSKa5NSrd/%20XpsZg0WLKsnOMdkRwrYMeibml/Cz60lmf9jsDfxXdmq2ILs6CU5KssztgSF3+dK8Cy2C5AInEjnK%20rep5Vj4HLZ/KHv6ZE+pXOQF9iT7rncXBXcKMS83SkompfTKIvG6FJcqw+x9i2gxn3geK06usicOS%20V+y3rrasArFMUvXp9NFfhINexS5x69LSzOv07DhIS4zxvaGaKImDQik7qGg1AYWPjmqqQA6o237o%20FEX32ARffm9VrlafPUP3J5nBWEcI2zIv8zYLgTMZLkKAUdi0Qdy5Q4BFZvEP4eY9kVSMgMQPGyX4%20RJZuD0iPhRSX5MNO9B25UK174J/jVRfp0Qt1xwRBAEuErgcl+aGI3mAGLy/OngeEwJFOyG/U2k1V%20d3l/XbllvdXcCIUSdD5BpQ1h5pDA6/MtCxmUgQtAXTL5q7BegmVfzHffrgoPhTVbKGqO8vr8RNlu%20vbm6KiZBiXSXnOK1GdpuxXuUc6+yFno/buEbjxCG+8uaw/0ptPzrimeU7xAAZsPvNoGbgNGHFfZA%20SMtIpbX52W8rpycI81K0ROQkGxmDsduDsyWpFHNyrXrDfDcRgXwBVEZDMV5ZbYMTwZ+yRqD+HVI2%20AUpAcMAw/RLbn6SMEUnkzCaZHHiFvKbC0Bjk9kvV46ozKfZUl+deZwa8l1OkWpx5oR+M8MNfjSXG%20lFyDGXtdIdDqNgOsPffUS4ucDrmyAhSOm0QIw/2lToYN22BnF3zq9UDOeDUiwY/ge7eDEa2saFQk%20YoJv+p4mDspwcaFtIQt5YW1APObPSOMRXXAsYE5lskm7EuiVi7TeBogCOCJYbuUyC/FXuNZE4Kb/%20GNcFL/2945Akgir4WyqIICj+YUDwM53kSlxVYTQNo9slvikYfXVx2WVOecrfGLMAzSJcsKwysfuZ%20vUZvY1zYdQza6yEWwXxHCMP9pdmHoU8tr6HCT34NW/bDf3wc/CWN9Kdi64WGF/Uzs6sPDo7CsTR4%20ZbUGJFnL3crqSMcnhvE+S5Kfy8USlLmQZQFCydr2vPfggcm5FpvZWnVXLg97bgyFyqI/o6SXwzax%202o217zNyGW1Sf21c+UNdojgwKWwfiEREI0zNIGVKAHTTf3Kxsg2yBLIC3CEjw96xhDsGLK6HeQ1Q%20V1+ZyZ2/wB311NHL+8hl4R9+CO+5ElYsfmrpj+PPhr17hM4UXlD985HAIf60X1aejA8Ijk66Bxyd%208833iPUJUt/maBFOZAhq8MK60sxPwlmzoCoJw5v9AlwMc68qV0VIxqFshV0emlE3GpLhK480/dS8%200B+qQmRhevIX4dvmtnLdbqeBdbpxl1+hG4SblFXC3SvLXcuP2EJZo8ErivkNWk3xwSOJb2deC0Hv%20iOLI5ex32u9ev8iYytGBscZIYBi4q1tgcK7G/dOFZAAuXvXUSkwv8HTErZxAOAx6B2A6ByPTMDoN%20m3b7px2aAu3NEFT9x3gnEDjpGEJYuZ/lJkw+D3f8RjoITsIUw7cmA4Ywdf1EaKFtfLkqMaWMrc3C%20haXMPvHD73DrGvmZ9KYpZHKwrRN27hGb6ojSaLe1Qufo28XQZQnnbY0puK8zujnT1KAUqoRivVqc%20XWcy7tfy3kc47E/Dq3vFvg3kqao5qIB0fOGNAtRUgSz7LaCDY8FpNzjuhDOG/LaZXbManH1d1ULq%20dnfiLe1Ngwf3Uj4lDufcq9e5HY0Q0F74iYgAU2nY1w153W/9e9VFTQKODMKxaUgocM4cSOf9I4e3%205d7mzWqEGY2Y7whhuJ+9ZO/rIvd9IR4aUNN1pvG26eC4HL+5amB9Ru/QZ9xUa80xStdmSxsCjZtj%20Rp15+VfSLW38TEaVhGDjQ/T+jyfdJmvWh3OrlsH4lJIryPFIoVT2r75yy7+K6+WtS8Dmfo773XPB%20r5G9f/v/SZ8Md5f53XZWGY1OKdi23/j2viN7j6ksCuKdInivS1G8f5BMIdpYm5dkdv8dgnFTnCXt%20D92Uq42/8Jqdgq7Dhj3+2oG0qO0dbK4aGKgHpZ/apTUlskeZldOKxOpKpubNzIdi02UCFy3yDzyY%207whhW+bshHvXE3LkWCCa4DQj7zksmgstfnE21y8YIE3WGMKluaFRaOlVUxrND2j771NbPqKfSbiX%204LxlzPry9IDAOmbCgcNgOyYQs2z4PXdCgYt+2WuViVkiRoE4RWoViasTbhBqU9ElgkuO37cmEEJE%20f3UnqnCucCnAaJALIeaGmBDkVONe4nMXckVwbS7wbFcvBFRYe4W7Mzp92WxIBSt99hdcS4DuwPYt%20QsOWRLQo846pEYnEOwM0ZI3Ulmu7FT4QHG3gFplyH4jm5dTBjtyCNqOmBsMdIQz3s8IB3mRtbs3O%20YUqZutk8RMqQnlfW5oBbBH1hVqNgTJDRqMlNMhS1WyTLT/YzmAuXgxSA2ha2fTeIIkgCEAb5DJkY%20orlhmh8TjDRlBapYVGTeB8SoPz27RCBAqExIkFIViFip3BXv1xO/eKfeKQT3J550Kq/DptyUmKMy%20N+LyhCPUOmqDI6RcKcwME44c9R9c1+KPrjmzwPVOI3IFIiqOd4ZRCBXLCjtYXfT/DAdlU2a74kWr%20xtRlZzwueb8iYwBOUIMQtmXO4l70Gw4/3gBb71BImQaqXHGOVSr5k6643O+W+GV1lhpHFIPwupXm%20p9/Ko9qZjvmT4PZHwQpBOgs7tpHerZI7LqqMVhHBy03ZX/eDKJRU6nMeJtT7JV6aK164gx/xCiEC%20qbRfgBzvz1Agrle7V/6DVAZtenFPXMId4lhQtnmWs3TIzrToyprynPncsmBFNSyeC2d4s5IIhwfg%20e78UjCOy4p0f1NimRUDjQoBTg5g2aC7QsljMUpZw3v4O+8JFZ3SKgBDGEob7ny3fVXhoK/z6cSgp%20wbAMrVXhwuBUeZIl5ie8Qv3AGKkW8rNj/O9f5w8nh1PNhvu8k/1QyOVh2xG/qnUEKFtQyJPsBCmN%20C4VxanmVe14QdCrYftMlTv1R6yKFoB/ulcqdPKNyr5w5kKcrd+5tlE2ZozA36FfuLOlAtUNqHCnp%20qkEuU5BcaEnAijngnxI872nHqY5eCuRy8PVbYZIJ025wSaMAFpvaVwg2SaG6aOd4idquphsfuhIW%20zKkMIUUIYVvmbIY7g3XLobMHjtocSswaKcoGlWUijRtUdWs1sVok15zDpfBzBZZlQ5kBee7Ohgrr%20lvkj0NMFmMrDdJzn63nZZboDuu03ygXmL7pdyhG7QK0CLZchZ1BiEcklAiNejjPdIMz1V/0QgSr+%20YUkMghgCKQJyxL8fyuQgSP7KSgEBQgIkVKgKQlUEYiH/yJTPAX/OZPe+Gwz6F2NPfgBgEE3BZYvh%20nk5vS5gzZgsGicqCnPc2T08wEIKwrB4WzK+cHFC8rQkhDPezhfqjCQcmIaBAKAz9j5TJtOglr2TI%20KqdBlbMQKYTLobnMcaDzoB+aM+pOXtJ+55ti9omAop5WM16o3HdKiD8k3DChZEBB95MwFoVQCATC%20aeWufr81xPyY9T57dfowZ8lr/6amOsm5SyotGlqZkIAcb9G4/plB0Z+9wJ/fhkjgilBg0JMHNwPu%206eWs5Uhi/s6PvKb7T8Pdy/3uPn+TNBWmx52x7lI+L4XKkmCrQQmkADPDdrbKWn8ZdB8Fw4LWlH+c%20wHxHCMP97OzFfX1wOA9VcUg0wjvf6pW9jssdpzLc0L/1n/pTAnj7+mgZGIGpYbg+4Xfkn519XsJO%20S0tGIpL2gm/NJJWAppWuDssAS59wUvFHMue7uTv7vLfPnzPXMp4cbM9PPAPxnsT7YJVDAnvG9yRJ%20cRyLc/58W0Jspm29oxOc7md3mah/2HjwMKQa/O9cdSlwwolg2cxilcGa/q+GyoVdAvvzMD4Fhg3L%205wNORoYQhvtZ2o8CNNf79+O4z2yqkGdnp/dPKvhDaNgpEpJT7kqMSv+3++6FUyevV64zZpklU89b%201guITC/SD+57dNbsZaoWNIziczfcHW6D93Gy7pIX4sk4tDWBdxJDntXXesa+4pVxNZJUeSk4CQFC%20GO5nC4cnC8+TpDZ5ZuXq91L+TK0gIBahkt9kJ5WJwJj0vFX1mdO0wP59Ow4e2FNdFVp/8dsBXMex%20n1WwV44Bp7UFlD59o+xJ9xWp7CiCf1gIYbifXV6B2XkERqKgKn5x+hzHgFIJBKty/+f/6W0jw2D3%20tJesEVGsZo4B4SAsGg5L4pmXuaSC/cnWH/86EeXWWal9W77ac3TOwEDv2nWvnjP3nFIpQwgVRdF1%20XSJS27QoeZ5jlyhCJg1P7PJXf32OA4GX7CXd7+E0zgTMeIQw3M8SG1bNgYAEN2+BeJUf3CeNLa9W%20nZyGRSm4bi1I8v+p20A55CkLXlFmkySe4LoDzoBo9YXlMw13L71N0/RK8YiquowJgkAo9Ypz6n0m%20PG/pPXdtix7JLqoJ5Fr79h8obNooG0Zx/oLzS6VC70B/S1vrpt/fm2ppWLhssWWeutvD/HnT3roG%20fv4gHBrxJ/g91Y7ynsPMww0XQ1MKx7kjhOF+NpsysGAxXG1AVxFaKw3lP+UwGDgMb768MvbjjG7v%20/GNVTEllboApaKrltglqCI5OeKXzk1MOwwtZwVRWFC4KMqV9Pcd23nLLtZ/+jJfsuUymZBippqbh%20wYEjtz6yJNqcHJocmHYuJ99+LP3jVcu379p912Ob8+0dK2zb2fDz353TMKd+uBhevpCx5x/XEozA%209VfCT+6HOfOBn+zhkuSfBq1dDM1tlWGj2HNHCMP9rKEwOQRbuiAYg2N9pyxIJwx4ZAesX3Em4e79%20eNH0+z+268/3W+1K5d8kNi7MKFVc61RXDEcc7o9zZ5XpwCTRv1uVP28fhtInHnpIP3o0sXbN+GP7%20pe70dCZdk6p9+LbbZjy6eeqCtfSyVzlZY6YcqprROFqTjivqte4/3Nfz/Xnz9vaNBjZs+HVr1aKr%20yUxthO9r11pT1a5zGi+Mwb1PQMH15/s96Y7yDl2mCxv2wcwUqBqGO0IY7me1eFckaKmCTAEc/SS5%20DJWBInUhqIqeSVp59XjZhF3L0uks1M9ko0eEZBOr3hidUUciMzjvFksx+3BHhmcFpjBQed1AYNl0%200Bae5ze5riuHQ337upLDgZmBsHXxa8KxCGXsyr/92wNUqH/gwbGuY5na6n/p/+2H6i9dUNVqOKao%20WAuKr7Eb33jlG1blyoXunz94ScuSHWNdo5N9XrLLsng611Rr4zBVBDt7ksuq/rB9DiqBuprKxWdM%20doQw3M8mBpEENNdWObVfjUeVZ3Ununu6OeP1jbOcqVvnz7jjlHMPPE8QA0+6cy90AgJE5tu5CVJ0%20maZAbTX0WeAKLHWBLVu2IIAuQOlm5o8Vf85o9FKYErL8/PNHhqcSB+11yTm/krrlUIDaIDM2/4Z3%209cyf5216fu8+wbBkQt3KuBzDsUpuKRxKMuYU8rlUSRKitKyR9W+8JqQFbPs0GuQcFs2EztL7Glpf%20xdynj4SiKA4PDxeKhVAwLMvynPinpKCFI9wRwnA/+/kOTK5vX1oV1xg7oTuR0yWXscb2pRPmJtcE%20UTmTglQUwB0S0klnmvo3mpq9Yo1A+nNQ6IKozOU0zR0jNOiveM3KJFimhD7/76CyfP/3b8zdty26%20/I22yFdNRx//2T01a+bNaJsRcPmKyy49fLRrQT+/pHp+tRqyXIdUBjxuHD4QHKYdi+a6thMV5Ols%20pq8BljXW2/rpJjEzIZJsbZm90rGKf/yiJEk2jcmZTDSWUFWFTRO8MRUhDPeXSnfGtQ3HJs8Kd9e1%20vFre+5ZX7ZIzGtjn5bTEyaKtycdgindY7iRddl+VovCpMG9uhcEtfPl4aMvdfPzSLKVQdV90YS5k%20hRghzzXc0AtqxzQjM2bWfmTBUUrH9/ZeFmqvy4d33Hpwz9Lh5LxWMsS9rRZrw9WgscoTecW+SqSa%205gaptc5LdkmUJorZY6nyzEvPI9YLu4zg7Q7b0r198vT2ePvJMb195X92nvwSQgjD/WX8JpFRx+lf%20nRMlCISdpmYYpXzi8nTZ4FqQawQydebh5slc2elo8B/fv6DYlyqndyurJsIg8udoy3jhuerCCwVR%20zBZzP91wY8A1zmtdeHFowU333Hdsw/55yRbBca9OtHFZ4E+NayEibSmpPZ0jfM48K1McMDMLr3tt%20Ihy1LRyxiBCGO3ohvAjWOXdmmZYAC+rgkjWwaTs/2GuCDWtWQ1szTE+7edONmXDVer9Uv7ngGHWg%20D1A++vzvsGWaxLIEBudetv6u/7lnRrC6qaquvaYxJgd3jHYtTrXVhOIFy+/yeJthuvajffv7zOmj%20fc4ic61b0EOqJkuSYzv4NiGE4Y5eMH90YMmf9LEcPd7ngcyUn+PeP4CDaUB2yh9b4lXPjIFZholh%20fz7I02xreCW8Iivz5s8Pvzfw+MDU4aOHLq2dfzg75HC3KhB9oHdXR6IhKClevouMdMn5yaRw9Zuv%20FalAVMk1bduwgmHVdXEpPIQw3NEL5OW4psCcWfDwFhgZh/4hWLUE8kX41R2QqoKpDFyyFrbugp/c%204j9SEGDpPNi357T/CERRUBRJlmcvmk9XiF3dx775/bsuis5KBeNbhzsFKuyf6BvMT86ran6s/0DL%20snlz37w2poY442p1VHJJtm80sSyB4Y7QS6sixF3w14H4i3h0D8DFayCTg7WrYGLaHz+zcA7YDlx4%20LmzfA3Nm+jO5x2Mwpx32HjvdMTlesvf39Nx7441PPPRoyTbHJiYye3rWVM1aUjtzbeP813ScUxeK%20l2xjVcPsnunhGTPaBhtIdTDK/AvEbjAeUVOx8p5+08URiwhh5Y5eIAY8Rqn8UDg7vzQgsyXzIJP1%20J2bxauViye+5H+mBma0wnfHnHGYc+sagvFfuGAoQ6fnjnfuddGd6ZKqpt2egt6iU2eWkLlkVmy7l%20JqzCnqne1kDVtbPONVx7RiQ1WJoKzm7wm0SVZk5AUYWOau2xwcnRiYbaOsfBzjtCWLmj0+YCxKmw%20YiSiOZQTONorP7E/NDDkz7DofVg2BANgGLD/sLCzMzI+CbIGtZPqkmKAn8ZQd85YU319oqNdCgZe%20w2aeC/Xd+bHHhw59fu+th84P66vr24M1vHJDlCJJLUoi89gR01/CqbKgNgOpzjvKKKW+cX9FEoQQ%20hvsropVCqSAIkiSJ3ociS5omKhJX/TVLQal8SJXJgk/jsqdXvNsiUxXX5crPDt3yQPnglmPrXduf%20ZDGdhYYUHO6GJwrf+vXwsUd635kIA6Pcpqd1oxQRxQ2/vXX84U2SIB8sjt41M7uxtbSrnV31mXfP%20X75kwfrV9yqD2UxWoxLjXNW0RZPaoSd2y0GtMjMNJYooCaJgsef6ZaTyMqXKS668fK6Bt0MULSBr%20qqx4TyH581CS4/dIIYSwLfMSPFoKgqyqjILNuGEYeqGg5/KD3T2uoRsT+Vzf4PZxUAJUkrii8UAY%20giEIByr9cVJ5N54z3JjLj47Oz9OrwRXtyOuy2UeoDB2tsPcgCFrNFHkTQPWg9eaxyZ8GhdO9BdYx%20zfVv+Bv21rfd99XvxkeEVe95zxJF874uEcHSzVgoMuddlz947+Nt/fn5gTouCnMTTWObj+xWd8yc%20Pyev57P7+ppAdIKidyh55hVVP6WV40u4gmVCsehPZF8uEEsnjgPZNOvOHTaLD1EKYiCgRsJqJBJN%20xEFTRUMTZdnbjU/2jBBCGO5neUcGgKt0ulCYHjw6vfew3nOMjQzS9LRULoULpgSMuKwqSQ7ma/35%20VGIuaMwxAcJMTLiBBru63W5d6lgOPEfx6n+LeKlnevW2y1hdjb+G9YGjsHopPLhdYJWV7Qix6QuZ%20b8srlgOq6p1VtC6dNTI2FgvHbN2f78XiriiLQ0ND2a6hQDK6eeLIzkOdl7UsbY7WrEt0HHh4aHLH%20JtFky/PK/mipbk6r+4yh7t52GrY/XGfgiDR9VCr3SaxMQReoQyoLSFFR5VXGnSX3Dohwx5Us0NxI%20EFKpYjDipFI1ixckW5tbNOLtUiid4fTICGEmof8bxd+LE2Nw8F5h9726NfjheGkiXlVOFUVSkKko%20JD6YY7qQ/mFcqHMiry2kf6QG1hlKu+VOC86EUH4iwEfB3sdHOe/SnAFuzlVOPWUAOd5JCwIDgapT%20GaCSX7nvPwyUEmDhykOChMALam8wxqxSaekVV80pl+1y+fhvp5Smc9n87TvWuLVMcNfK88V54qaB%20A6ooJwORZckZ/ZnxI2JuzyxWvWZVPBR1njFlmKTywV3yI18LRVgk0uzUL7H0TaqbEyLXFOxx0Z0i%20VZ9KT3414UzIoVVlZXZBCGbNo2Lx4REmMqOX5e4NdguJzFJxaj2dt5QlqioLZON4HIQw3P9yO0+B%20w52w7U41/WggqgjzFlhgjBlFreaTufJOIftLlXCe3xas+kSa3h8SW2z9qOwUqLJaF6vd3H/EWYly%20zV9RWwKIex9c6rUcpj5XbyYZHJirfTYUkjV7qyT7KzoVS5CIw1Qhvyz5BYuFNd4lSeDPLMBPcmgQ%20vZqfEFmWJVl2HOePs1f6y40wFtQ07yuVNfVkL9wLfZl4Dqpbqk3mSIwoghhTgrpjCYROFDIbmwqz%20r76gUdaIy50TJ4P0njToCE1UBA28T5G35Wi1k/lJlNQ5+lZNrHYg6jJ/al+SvTuUaHRIA8vcF/Mq%209JrPT7ljUipXah8qT90XPfhIaEedmVpXOvcqq3UGgIFVPEIY7i9+wT6Vh7u+q6TvCdca8oqPZ6wx%20EWJM+xuj9H7N7JHlDosInEhcf0L1PuLvyVpdcuHOEA2z7M8i8RtyqS9NTv9n3NivEJkfD0TuHQrI%20qfsp3HuMuHL2aNj98sxmGBr3+/WKDGOTsGAWTE4X/6b5/+UL/vMkqmHyxPkUpcqVyhxj467T57rs%20WJeoqbFYPBEOM9u2TBMqQxv9SYApLRVLk52dsaYGr3q/6fBDDZGqVDD+qNmf56ZglFbWz/a2ZMzK%20Vy9qTyhB0zBPvrEEHAKCyJ0hcfrb8eTHMvao6OaoOyVI9Q53gOkEbPD2D40xZ5KyPBXrHLHJyd8Z%20Cqww5VfZwkZeKxOYCORuCvz2TqPx9fmr3mKHZSzhETotOFrmjMjQMwg3fTRCf5vsILIqgitzsc1y%20BkV9u8odYh6RpSaHhhgNePkO+V9FA3Ms6sWZF20aD8y1sjfG3TFRmWPx0yhFjw82EQmUy3CwC1Ys%20hd5RqK72b0bt6YfqBGzeDovmwcAERBOQrIIDR/z7m7zH08oPyoQcs+279dImQ+9x3RQh1r/++2Nv%20u/63N7z7Z1/72sGuLiUUFIUnV+ymgjA6NbH5hz/a9K8/EAJK1eVLNkwcKpVLpfMayEUdc2KNlX4+%20V0AsZHNE9n7J8zSAiMbL29Ti/cGqj2adAYkyL/FB0iA43wzMNgUKco3LSwK3idxmg0uibyiAxKa+%20GfcOjY5OocZu+cf00tWseGP1jz8dHM9iQYLQaRG+cAPuhBd8QDRs+PW/hBs6I4Ewd/3lTImbEWJv%20LZS3aLnbI1Tyx5eHzylT1SSRcuGYW0rD1CFxYr+cd6DocqvWZs12cb9c3BCkjIr+1DF+ae0V7QOu%200yxK5MRktxhPmzxr8LFWvWMB27rTX6Z1eBQOHIZUApYvgC07/AkJvC96VXwuD3X1ML5djuUlmwAT%204H69nOdsqawsUdQ2UWoUxQYqNLu8NZPVdu/dc8+9ezPpGUuXhlTVcRyBUkXVxm12sdmSH52MJGMz%20nUgjCfcFjWBNPNSZrg0lHObGldBYV393eaKmuf4kJxuiePiBB+v6B0RJpowQRsqHFKPEp7eoBRvy%20Op/qEosCK3KnMMwcxzQPAhuG6Pm6QKi+LaAuNwt3hTgjoUtL2kpDXWKZY4LUpUqD6oFJd/l6G0fR%20IIRtmRfjgAjDQwDHVC3Ij3eaicyto7LdLwVmOMZ9liEY6T6h9xtNdrKBJFvk9zRM2SaRQq3zFmWH%20br2g/nd2SSgXSWmaFpqNwrigj4h8QlIKYpAfn3vxxI4KI51BY+yKbFgmK9pY96A/A8Hhbhgeg/NX%20Cb3FC3+6qe6c8x7tPdp/8CisWQEug9EJWP7e0r4jZT1Hxu8JXBRV20XJO0MQmeu4Zon5w1oCRJAl%20pVaJ1blOz89u/un+A9d9+d87mpr279z54Fe+sqBqVdXcc5dCtNBTDIdCAie0ZzR03txDof07dtxr%20COyNc9denpi3edPB3uruWXNnP3u+X+K3mfQSTRPXijpCi63Vutxlqb9NB5MsFOSGzh7Lfqi5/SJT%20n8yOZs2pMatlaHigX9o+GpwqNMdZcE5JWcaYxJxxkZumd+x0KI8EYeqAOpktV0ew+Y4QhvufnQv1%20dUBmmPZRGRS/hvSKbpGTiRujk6KTmdOsnrMisWxZQ+vMaHVCC2giIfv37mWu296xeFzZuKAdBMX1%204488+WzlMkxOwWA37dkp6w9L1CHPurPUq1SDtTwg8nQOQgG/PC/r8LrL4NsbPr5t8mvet+882vup%208y/qUPq8xPdvGJUgb3MW45m98rWhYJVIgfOcVdwgRLYnl0yGmzkhyeLwsukDlxjTKSXUGk/E9h78%207cc/ef0Pvq8EAus+8pHx4cnHD3QNBRKDNTxsTilFu1xF25Qgff2aO+B3kfqqzWPD11jtmQh4r5G5%20z14wibhEDzvwhsyiNbRxBqtKVta5Pt4CrLyyQtY7ODXMXb7MdcpAqbc9DmO2aR/YtXvwwP7egz0x%20qzt8z1C0JxCeYwtvLLC8d24DugWBOWZ13N8jCCEM9z83BloI2q4ojxwMVCmEArE5PyjpidYc76ia%20f+V/NDekwHGYZbmuy0olC8AxDOaHl+laDpiVgHtGegdEaGmAllZ2/pXGWAasLX5L+oRf6EJQ8Ydc%20Dk7A3JlwtNf/4u5OyMBVwF3wotea0Ztdl9X7QmEolSEehf4JKPaIF3UnqsJUYO4Tpv6fLddMzX4D%20hOrBH2vOJzjvLE/c1fX79/XcdqEsxaKR8zuP3PJvX/rAN74uA0znMr+8/WO5a1+95g1XG7qul8qz%20FE30R77wxa1tsiPFHXNQnyytTnXU1lpl41l7yDahbYn99isqExTYlSpbP6Gv5e0Eb1dYhuHaT38j%20qCipmqS6akXo0ksYc/KbrhvfUxzcHzp3RCRlKhAyQZ1FV+v+ZQS8porQ88ELqmfEgBXrnEKDITl0%20irl7LFMnXByXpvcHQ7LoeIFeLjuOw08csM6P34EUrNyCL5xwtPATsOwn4EnfD0GAwRF/Gsi2Ztix%20H2bPhEgIFs6GeNz15wkDv1vf3ka9Y0pTPagq9I34i6zWbIo0h6jA2UbL+P8WfXRq4ccgWAtepWwX%20wS75/9CSubkf+Nqyz95tuyJz66LR2gc2PPi//+tttibKi294y8L15wqmq4FYFY5psqJb1p03/fTg%207f8b3T55kdbeLRZq58xwzZNX0V6q+6+oXHlp7MRyQqvshD95qd7xz9tptmFww9BEaeLxoJqVsmV+%20/7+Gpgco9Q4Ts/WlyxmY+PeHEIb7i9aZqamCxlfpXWWnz7EXKcpqrtXsjdKjmhe3pxo+IskwcEz4%20zfdg22aaLlUy7vTYDJrbINUAR4dg9TmwrxtcEabLYDoSEBGI4r2NmTK1KAxnoOhA+1zou0ddraou%20gV6j+N1Z76Ity6/i76b6eOXwcjx9RaE8eiW7QWqY/1/zP3TQLHFCFsnKsV/cnC6XCCHnXnhRNBTx%20Tj68rPdPQZgXrvar3/f++e95y7Hc8J6JHgUks6S/gNuliH8T73gGHttAb/s+5KaIcKrzRsK93yfs%20C9YdipwrabMspbPo9NjOrCvLAQ1w1WyEsC3zYjJhxWXm/b8pXwFhCtwALiqMSM8VPETk7qRY/J/I%207tsCW1Lm/LcULr3aed72sUuhwZQmb456BWvSgMzjkCyBJELa5uvg31azpH8zEIiBX+zlENREUSLk%20IFiLiqos+/2gX0VmlWa96xzpO1++Zu/RW7d08TcB5CvnEYEOcctXXr9v/I4/7Jz59zePPPLF3H5F%20DdQe6dq3fccFa9caun7CaQfnsqKooVB6164xGP+NC+qO3gWveh+l9LQubRL/oPf7n8j9d3hPIbsl%20XZovnLq0IN6vc2TGHWZwGhLofFd5tDZ//ToHDPzLQwjD/UVlw4wWWPEqu3AbScS8UyD+vBUs50AF%20CGk8rFF3PHDHj5zlFxSSoecZ+OECrwOxcVzilcX2WO54z7zSroHthBw/nHCXqxy87eAyIRM6adEk%2076s9trV1wXVgmhIbJZJXaY+CVYRgpXgvFkU+5r3/kjEKrLi7/fWHtu1dJPEWxjsfe4yvX3ey7eeO%20YdSvXj37issConjPTTfVNze6tn2af2jdg7Dhp4GrhYATcDOc28+5v45flSCVU0viehtLLniHFU96%20m41/eQhhuL/YLHj9e4zbrXTPlmCoJIVt4kTJaexxogM/QM2kKeWmSDLKn3dUn/d9Vzzp0G71xP/0%20O0Lek1sCi3kVNXN3qyk71PQv819brw0fGYVPnPuLvRNPfKfv+96x4OMdH5hX1XN0DP52+R8uLuz+%200v5v7Qg0LnYmo7Jsdx7Ol3WVEP4nk9zYtj13/nx/igJKr/vox72jBOP8NP/QCmM0xoQdgr4QZIEQ%20+/kqfUcnZYvmKS9ErKq3Fq99o+138BFCGO4vOgeSYfjbz+l9vXrfISHXyyEbIO4pJxDw8jYgSaOu%20M2YZsyXZtcn0NGnr4Cdm2tODJM+AV+eWGZOAePU7d+1jkQbQ4oUCBOqirQ25/U7MMJ58dl0nQijW%202pgt81hpjIAS7g63OFMjoiiLk9OFQj4YjZ10WdTjX+Suq0rS8RkLTpbMT92URZ7esvQknUPksuju%20sIxq101IEqXkVHW7dyIkrCkojXrHDNY2z21qqoyQwbHtCGG4/8XynbrQ1gJt7S5IULvHLNknmW7X%20SzpJVfOG0Ts4qBK+TFYVQiYNVkhToCe06S2vPC2BxCuTfKngVI4UfoFsEFZpVYgSMNlPVC88qUUc%202w9QLySp6k9k4D2ywJiX7F7KO8xNK1EIN3zrwJfOOfKfr1u04xc7F+4VPwjxoPec3z/2b48fvfGt%20Szfdtr9jq/130JTKqHGLuyolkq5nSuVEImkz9jxtJoCTXlB1/FbKsxWnqHdq0SCIMUL36kaut2cu%2081f/sAzj2cOKuH+Uuva95pwO2890+8SRlAghDPe/BP7UhLTSScZfe9W6pGkGIeN793Z99etz+gaS%200bjNucO5yGhxkj5d2xI/xbJVVv7qKUUGw+HDW5RawwtqGBftmvVGSCVEgL6jRDscCEige4eBOeXW%20Ds4ZFAw+sUWtdSQv5fcyY6Yo+aPvgTtU8AdFRuuTTro2DGG5CMG2OeZPvANRV+RtkXK+NgJRIe0P%20keTMJaJ3/CCCwEzz/s98piEQdNkZDkwxDEGb2QmXPWOHcChPC95mWZx7B7bzorGxX/7mgcNHW65/%20+6yVK1UglvEn+W1UJnPH+5UQwnB/SREEQdS0XLnctWHDwE9uaj7WW+N9VVEs/uRNrYJLSoUTyl5m%20QctstuoCSxJgqgyPHNTOndYI5U9obOU77aakv2DTXTcL1YeVlEonbDZxXv7qt7qOCYPTsH1PcLXu%20ld0kJ9kmuNwGkdCwVQDXBkl+tPSu9P7tu/irwCr8/Xm3Go708W3XbXOvt/c/ss9aDWHFOxAErbxM%20/FtjHcZWdfc3UnrGy13bZTJQXTxhMIwX7lkSZX6zhlUyv0aWE9t3ju3a8/B559S/4XUzly8PBoOC%20IOBfDkIY7i/FIt6LbVmRXVGYmJg8dudd2TvvSnQeXklFL9b/mJVe6LllOlxbft3l5rOKfdfxktFv%20r3ifvbrZrRT03uHA0f2vcMfPatfve4BL/H9bJXAt/4YkXrku6zLQwjxLXWecS1RsLI9tt0sgSIWq%20Vz3uXAoJCUY7g0pZEkUoTBr16x63zwN/+WsTHLOxNOz9iPckhssVrtle0Kt+5c5N4j+1dy6g8sp/%200idHmlNOKrMvcIv4G+Q9QOHHT0QYI1wonfDCGCx/rf7gDq3DVEH1r8L6e0PTGr2TmEc3j295fOPi%20hbWvv47U14nBgCDinyVCGO4voVodqCowWe7u6em5517rgQerh0bmShJogWeWwCInuSKMzixc/bn8%20zI4/czeZcX/ymXKNXRqGqCotKo/8LtsDNQvBMYAEOuybP7jue7ZlcWZ9a9313znwsT7pNcAMEGTI%209i0q9BNJ0k2gs8wZV5l2v5T/fdiL9cCasrrMMDuV0sNBsEnoqoLSbnmhbh5RiveGgHBtqRFYo9uD%20YvEhf4mok18ONmHpSm5/Kf3wl6MtE8FA0DtO+QcGxyvlA4EGzuv27JvevWeoNmWfs7rl4ovrm5uJ%20SvAeO4Qw3M8q2f/ITcOhJ0oDP/inxOF9NflCWFXdUMg9IfyBWNDPHO2a/A3vM6riL8p1QglI9UJn%20ZIsTJuICcFr67u+vXVo5rSAhMp2KW3W1/nic4WErCGnglaa/oFT3P7iclV0SGbOdcIoFazhbbhCv%20chcgcmWJBnlwvS7PsNysEL665OU4Ebm2whSirveP0OVlMckqI9KhcGeIaKcYLlSGVSt53Xezf/hP%20M7Mp2qiAKz45St+PeFWtAqiZzuRvv2PqkU2Pt3cYa6ExCcGIf2DAzjtCGO5/WZIf693HYNvdyvjG%20QGRCWkyeEGTZi/VnxpGXe6LrTulOf5Pwqg9OnXcB91L+RRoBYlswbzFsTeizSpGgHHzdyEPfGrsU%20UkvA0Xcbb7rhV7EPLvmhy+h/7X+/WX8pUB0EDaaPvLb/7oQcZC7prdIXJ4X8Rin0Fjtwju6PalS4%20W/ROSkBbbjKdeP+pb1epyiNthcB5ulfaE4W5BRCiIFa7nBPyHLOtl6EpBe/7kv7g3dbj/13dMaVH%20NdkRhOM/UBnOLwZFMazrTTt2TO+M/uhWtfHi0urL7MbmyvVVB//gEMJw/wsIwtAQbPilmtkQqirI%20M1QCGnNBcE6MdcF2io7dFYsmPvT+GY2Hzl3yc6LDi7fchONCUw3su6jc/+tAS1S4SIB9u7714Nqv%20QSgFWiAYFqukMuMQCEumGvcHchq5c3Z84ypi2jQwXnTdxeaCax3b1a0eaerrSc4h8e5sYJ2u71DS%2034+7BVr10XTk2oIf1I9rU19LBi8pJf8uAwyMg1LhvuDxJQOfi+WvErV2vTtQfX22Wxy75eb6yalw%20IOAKwvEq3vvMKAVNrfEOLGPB7I+13/zerLuyeMkbraoEjolECMP9xW/FPPKAsOO70boptS0Aboi7%20zwhsv9XBOTOtjGNPNjYUz10VX7165fmXjO3qZSWgyou7aY4BF17j/mZToWEqTlX1g+aos+nTjyz/%20BNStmA6sv224jwHNBM4HWYKJI6t2fuPj5R4ihwiDx6G8cl9s5KPU4X7KcuZfTc3+MqKuMHK3Rpxp%20gQZZ+r/i3mvz54rJU221nvxwpnBnyPtH8b6gPSDR0GmMnuTg7YRkODL3g9f3XbbuyG9vH7n3vprx%20yaisEEV2nzrw+ftT4lEJ4rqa+bl60yOliz+ZX7aU43y/CGG4v4jdmMEReOIbsbmG6obYM0t1v7Fu%20O7ppTCpyaeH82BWXLb9w3fjIqGsYZsErjF1CXvSts12oj8Gy95Yf/Zp0CQuBHPyEPb54y6d/V3fB%20QNP6ncpb/ZGYZm/dkZ+9evjhK4ntJbvgkg12af4nC7O2iumNmvd3QRXGOZFn2PH3ZanEkx9Op38U%20Mw8p/hQzRcGfRn6uVf2ZdPGBYOan0cC55UrJfXxwz2ltpOu4VqHQUJNq/NhHR974hu4HN4ze90Cs%20u6fKdRVZcQT6dCEv8GgYIiOhDV8nM3+QjQbwVlWEMNxfJBxkGUKBys1IT5Xq1CWOzSa5nm2oF9ac%20V3/xRcvnz/cvqxrGULnbi0Tyl9o6f4YZHdathh0XFP5wF70qoXFRvVxga8c29I1sGBU0r/BOufoM%20ysJS4P9n706grKrOfIF/+wz3nDtPNVMDVQwi4ABEFAc0oHEgOEVj1KfmpRONaZ/Jet2d5C372Zos%20zUunu1/a2NptTGt8iTFR2yHOIyiiKIiAgAhVQA1Qt6ruUPeee4Z7hv3OqcLXimAQGfJc/9+qVQur%207r11alvrf767zz7ftlmYufSyo3syP74Wka8rmrVgTY+1TvU0JmbdUIc98k/p7PUleYJrrmHBpdQT%20DG6w7PVFc7VSui8RP0sT67zw8WZtq+zslEn8FFNOjm2TbTfX1U246krtqxevfP6FVc+/kHjvvabi%20aEIIizLzBD72LoIEiceiXJIJG6gCINwPGpcyGRJbbLcQZiKXOCtVaTSrFyfK9efdOOekeZlMRnAc%2027IsLWhjyPbUhOsQ1O+To+IwsUd0bZ6iThBkVY5NZzSDj61elyN+xHseDVW9N0L6EdeXj3mpbvC2%20WH3SqfthgclU+WO0cGcqSFKRxDqXjaUqt1j8Yi11RYXXyN4qj/xjWqx3098c1V8Nh2db3tl6/s6U%20EPnUv+l4xMcVpeuomcmONsswq73bdj71D4mtSrqixKPBRoM1h8IddjSKaXcAhPvBrNxlv3Jvd9w1%20QW+YDSGz6+valxbVesoT7M4FqYhoa4e/NW1wo5BHfqyXFWe5ZQqycYStZlwxKgmCynXXG3Hc/ljN%20m2HNrYRPOIV6nyeSuZjxy3NFey5a9zcFNy9Wl4WNVWr6G2VrfcjaGPKL9NTllfxtKWW6FT7GCm5r%20CrrYkPZiVGp0iH2mE1iwE6FperrRmK2LdkxsmfmTKNeWPKK890xsCik2p9REByvfARDuB33uo6HT%202eA6xZrjyd6Rp9qNndSzwqvphquE/3wO0+S8RZTmU2TD+UORKZXtG8XBrYL5djgtCmFLnHWad/S1%20lpNzqmXmBW0Xmb48nPhKxRmQuBWcHux+ufjLpDLVKt2XtDaFQhNtbpP/OTLXrC6NeIYgxLhbFrLX%20FYWEa65TGDsAb1CC6XjDYBa1z6KuQXvTE95az0owsWuii22YABDuB31mJt7mbHZrC+KqqIlLbndm%20/lxj7M/xSB1OlkdNCXbGfPJOcVesdofXpo5SQ47KnWXKEJPS3yqN3FRnb5OZ6pUfjgtRL3qywQ1B%20nWZVIh4b/xuROAtxZUaw1D081zDeUov3JoO9pQrC8K11jT8erjwWLz8aH29RcECIApnD9Obt8RN5%20VJPcl0lf1OriUioAwv0gs2nqFN55pGtvFpSIR93q0KAmHfy2V0wgzvan4bvrBldZuR+PVrDKscb9%20EpzzGrMHRc9kzpAYvK7A/b+I0m+So/cnpWan6afDmWtL2sPRMCPJovAVo7Ez9Nz/rLM2hnatihGD%20k5wzLHo6Cz6bTIgesHCXZOrdRupOhWSvVhGmn+C0teA+JoB9hSnM/a/cswn6Lz8rj8wvlI1ghQjn%20n2GXjX2vZ6X9mZlgH3Rf3w336/I6V4hwIe55NcZNJtU76lGWMt3iHg39OJuYp4cuM5cV2quLWN25%202vBPM+6IqMy01JmW3Or4j/cswa/0/UwXswe4qA6O2Qs2rho2ee2CkStvrqoSdscGQOV+SIr3pgxd%208XfGr78t+1VvYyNtHTnoP5Pv1yP8itz9WHsWv2wPzzJTl5ednJj9y2Lx31NeRUhdNaoebfnf4hbL%20/ziz48HMzacvWDXSVT+lcMuTz7Vur9bfkBezjh+9dq9c+Nc0E3nqylFPY/FzNGdI0peFx1tFHoDR%20daitg4qxWmZa7es/sOQaOswAINwPGYuSMYosqHZN4KQQP+xLsIOpEs727f0Yt1n4ONMtiSM/Tzf9%20dLj+xhE/0IUYL/170hkSs98ttt4ysmp4wqrhLkGyhosN62Y0n/ilFZpExTvS/tPT3yk2/GjY/1ks%20zHPfr09eXImeZOivHLCLya5LkQxNuqIsKFwmJDsAwv0Q0+iSxW6w/tr8zBMRn3lWZ3xTPmHfbhNl%20MtffUMPHGQ03jth9UvGepKcJ6W+Mpq4YDSr3Guu/JVs/zfzC2d0rC1316aGZrw/23pZN/rCUvrq4%20q3K/I+X/w3983Q/zTODFX6UO8DyfQeef65o6YWtsAIT7YRAPj90Q/5nH0vXG9pRmn+0mzH1+Lgtx%208x219Ntk9i+LQzfV2wNBI18/4uVGN9gVpCT6bwJaLhm5deOzW7KZxv5q57n5gQ3Z4Z9kpXrX/2Xd%20gmD3ydxj+Z9nWm7PlR+PVV+JCPEDOinOSfIoFsZUO8CnhguqB4J3gO6JH99x+hAeuJ/vfqAHJ/kG%20R4h4TOFOTjJWK/5nP98bbsxXN6rmPZF56b7wI1RcEm3427wQ9eydkrlW8St3//GC6kmNbtAZWKQD%20Ndv+oeMbGxMkOwAq9/+vHeIZe26y6Gl6+qqSMyjW/SA/fEuwxpG7LHlxOXlJhVtU6wnl/3daSHim%20QI7I9LtSYsJt+NEIk0l7Llq8O8lrTJ7gNPztiFcR4osr3GblR2MHcKk7AKBy/1z8z2CHNuI5CWEe%20XFD9WYYJ5FfuflgnFmnJiyul3yacIclPf24FncL8Rwbr6x3ydMHThOI9yeiCavLSMndYUPtHeP72%209Hi/X+6xw3OmAgBU7gd1nkOUZEmSPe8jZ01RlBjz/K8LgrjXFTU8WMMujq0SCXofHrxDFD4IXkau%20JkiNXnxxlanBohc/rKUWxy0LXlmQGlxrfdB43q/HKUj2ILWdIVFMeuSQs1OSW51gG6aI5xfy0TOq%20codrrNz1W/u/I/tT93OJgihLIcb/szu7NDZ0/liJkv8h4wwBgHD/c3kXxAV3JDfgWYrnfWSeuFQY%208r8yNNhvGGUhtPfMkikkkmmRetDCXRBoeJQKNU9Ug9Uy1sZQ5Ylo4iKt/HDUXKMIqudX4mLcy1xb%20qr4SLt6dlCY46W+VhCj3PxfvTo0+kBAiPH3NKNXIHRH9wr+2JVS6L5H6ell7JqKvUAUl6Gxc46Qk%20g/1X93qCCVGlUhjc2es5+ofCXSqMDI6OjrqOpSih9hAnhr8qAIT74U52q0KFwlDuvUtHPj7XNVbJ%209w8KYcXuG6KO5r1sNyFSXKFSmTLJgzgVkxut12Mxcg0SmVcSS/cnwnMNryw6A1LmumJsoT50S8bN%20S25B8M9BUr2rzqwVfplMX1WW22zr/dDow/HqsrB/Dmi4MZ/5b8XhW7N+Oe/mWfH/JPnYDqv+0zTu%20Zdo+qVFAb46sHb/Y1H/Hbqs/OfefzvUc0zgNtteOaAreZ6B+B0C4H85wz5dpdR9vbDK49/HQDuZA%20/CAbGqW1PdTRupdw59ReT6uHaOrEgzQj49fLFEnNl2bZxuuvsHCYJD9KBeMtNX5+RTnSUo+yRv45%20bawMspuJfFfLMD9b7V27XjM/uT2y+2T/KyN/n6n760LjLUNyq2OuVbnGWDiYnReJFWR71lRvr02+%20BHrzfapKtVh4D7d9ja8E9YfwjS103BQKbiBAuAMg3A9juNfVUUcDdU0hvpele5JIvTuoPUGkjN1v%20+fHMsunIDnpxY7Dg/WCQpeAAWlpOM08Zzb3yYmsk4nhcUDw/ncUkj5xometl/fWwEPF2zYcI5ORF%20a30o/e2SvU22+8euCbBgPofkYI28uT4UPdniNXKLTnA1dWx23rOZ3mJOm0J73uzUf+UwTWqmpECN%202b3+pi6nnYyiqbGzIJZCAiDcDw+R+vvpD0tJytDOXHBFdM91Mwuy7JHXqVCk02btacLBo3Q9ZVXq%20HyQ1fhAOU6DNvY3zzpxjdVVfTSU7bNcRBD+OxZTHxGAxzHitzU0W7LskBUvgnZ1S/o50098PFe9O%201TbLQW1OY3tX22Px77LgWWOvEOS+TSKjQcNrmmemU8G9ux9PdtumZ5+lVX00bVpwptnroYo0UKE7%20/0AXnUr1WWyaCrAfBScciFF8YzM1TqXJE0lVKBrZ80ckTIkYzT2e1hdopLSXsXfp1KNp3XqS5b2d%20IfZzksJ/3zAwSJ56XnNztqOtjU5fMFzVRMFPZ1b6TcJcJ7sjgljvyW12ZJ4hNjpeVQgWw4gULIX0%20S3kx6AYcNAuuCkLCi5xsSG221Oy4RWZtkku/TnhacJ6QXOH9mL7gHGfPZbt/FhyirSbNnbvXURr/%208IdxxhGkNNPbPUQi/sIAULkfFh5Fw9TcQuHQn+4dJslkaHt/mE0zptLLa6i7b8/5LsjkfcpJaE5c%209N81OO6Kdc3zF/yFwDzbchZec80zLy9daJhuSDLXK+ZN9WLCy15XbLx5hCncqzLtmWh1adQZFoMi%20nQfnAD/rhaQXObMaX6RJWc+tMmdIyt1Q7/qP8YIF7zJjPRWn/mvazMlE1b0cDaPWRmqpJ+dPdWb3%2031QoCglFzLkDoHI/XEMokyiTIn3oQw6iWRCDuRdp7D//81tisN6RQmNPZHsu3i/5Iq1+m2yLCWz3%20nP7k5mJs16N2f+WIzN9cLSp1123Y8PYTj/7usd/dsWLZq+rll260LIXT+OVTtyjkbw86f5Ufi5Uf%20iqeu1NTZplcWlKk1IeaFptY8XQhNtjPXlKtLosV7E0KUF/4l7ewIJuL9V/AP1TJoQ0flqqtcsvZy%20cP4j5WAEdhsrcWyg/OEK7TaMYnAyCyoQrIkEQOV+qNUol2NLNzbyHWFJHGvLKDDmmjFnsDnB/dgq%20VSlnJbiacb3g0qAsUm6Qq7WhhTOMYM37x2PLofoGuvB4uuNBZ55ATPzoRAz/5CKduLB7V8gQsR69%202HLst+objnj10V9c8MXJtaS7c2h1ufXk3AXnxx58qC2ZshhncnATk90rRU/VzdWqV6bEBZXwLDM0%20pRa0frysHJ5tyC2up5OYdSLzas5OkZvBiY3GdoYSbeFpoXL5D/Wm9J6aOLLg/Y0zSis3xZYM1DXs%20DNq1+7W5/8uJxnBLVI+pVHNoYFQ0lWaPSd7YaUw3WdrWjmkaTsYwOQOAcD9kFFq+JnrlU1fvcI4w%20jAZGpaQalKxlK+S5KYGGm6JbVdEZ1Ot1exIJtUhIi8he2RJrTvLOHje7pPfS1kduu3TFHvqOGfTF%2046h0Q/WJH0vnuXFx33ukj/Vz90Pz/037qEQ9peKOC847efGXtfUP3fXTr95x8yNrn3jnpif+auuW%207qWzp2+pnk1PPtWeSpn+sww2fGtdbGE1eppe+FXKf7XIXENM+KFPfp3OJCo/HvM0IXFhRV8R1p6K%20edWgOYHoh3tNeLymfenG8vw5e76O6r8d+dp9ZzxX+FJRbyfXVbeUYzLXaoJpJ8hjCWVzvVrU7HBO%209wcqIYqlpGI7nj+SYWKJn2zZ0Smte/jiu6dMdNHVHQDhfvAxKuqh7soxk5vpKyeVzjy2IRUL7tcv%20V2svvjv80Fq5pzLb4UI2bS5qL351bnZiY70kCjXbfXd78bdvai/1TdtSnLDXSrxKF5xFkjz62I94%20TBf2455VP+Il7r6jjzpXXnzZ/7hh2ZN/+NqCruG8Pvzixll5c+nz6y65duF796w86rvfWxJRRh96%20dGY0asuSVwumZSpPR4NJdodVX46k/6IUOcEw31UKd6Y9XfDT3HhL5bWxFTUiVxkrVukFZfS8m7Xz%20z9hTsn9w1tlU7DTYpMXT85cdn5rc0uUPhe24m/pHf/dm6fUdndvsIxXVmd2kXTLLOGnahGhY9jgf%20GTUeXzn06KbUhuGjqpZIDItmABDuh4BLdTH25HcS7U2J9b3FX7862F0ISubODJ01M/6745OmzR2X%20R5VEqWo9syZ/1yuFSk3Ihr2TJyk/+coEMZTY8rbsh6mwt+Cu0OIF1N5YvumfxLq1dNb8YA3Jvsw+%20+7Eelmm0SO9XY5Nu+P65l18oeZ7jWJFwPF+2FMcL++cYzSQmqCGSbfuKG298curUl//1rmNL5Uw0%20ZqvBMnMW4hQKbkoq3ZMqPzS+GIYLUW88qQU1uHzq2cIqrdY7vXzd9605M/ae7ES6RX+zUJkxu17T%205GfX5u9dPjpqUUrlJ3aGbljcooYkveYpEpOE5FvdxX9+bmCgTLJA0xrYOUenrz0zvanbCXFcWQVA%20uB8aAhk17x+e2Tlgld7fGSIvTqEg+17rFn/zlj2psX9mI1Nltr3gvrNDNvVIkJUi98vhJ9dS+uXc%209MbSCWr1klmf+CM0OmYa3f9z955H6K776IR5wSKTsMCUDy6Fs7EbX8dnvaVgvaIneN5InlZ1y4Pa%206Rd9+7vHTD9Sr5RDIaW18+gXXn1+8aKjhc66vmHt9OO6Rrf07SzHj21tkTx+2X/9xvpTTnnl3+6S%20XnhpUtnIqoogy54f34y4zIOCXQw6vfg/VGQkMaFq8bWGva1BP/Yq/XsX8WC7Eu0TZ7BkenHD6C/e%207V03UKtWIyTvGopn3mU/WzI8u8VpTohl01szSAMjEWJxkoM1QUs3Cb98Q58xodwsDP3jfLSaAUC4%20H6ppGb3GXl4fkTLi2dOqF8xOtmUj/pcHCsZj72jPblG6h9TgQaI9rU6/dCEd05EMK2JZt1/bVHxg%20DX9tUyzRJAfXCT/5DkyDwhJ95woa3E6PLaclK3hU17/gRVTHc2xu18itkWVRWTe2V92RSLhX7RK7%20T5wxfdEpk6c8+NBvbnvi90oiFvHYUU3tIa3NfmqbObPl7ao2p+z+6slSrOnIPz7/TNnUo4rS0dJ6%20zn//Xu7yS9c//czG5W/E+wfShhHjpDBhfIkOFwRbUvpr7L2a5k00T/xy7Udn86bG4AiDj08kCrSq%20V1ljhrvqtcvns9ldyUhI1Eznze7S/audpT0x8kRiXixsXP4F7cyjUg3JiOvx7sHqg2/rr/Yl1pUj%20zsmIdoBPk098GQZhf4XotTWpdfSLYybXea7zVk+5Z9jxOO+sk+Z2JSRJ7C9YNcdrSIYyEem9Hdra%20PqNsUV2UfWFitLUuMjAq7dxw5zUn/Edwht2XCQcp+IlGif64gv74Srw4Oj3b2XLEEYoi2aYlGYVs%2044SO+imTOtomJiJxz6t5nrt1S/cND/96Q5NITfVUMdqL3oXZKSp3nl352jcXXfLAplVvSGU7Igd9%20CfLF5Dt9f3fuZYvOXWxzXqhU+rdtG+ru1voHvPKoyAXLEXMVI1fZFo28e87J5cUnUzw5tm2ssy9/%20ZWQadNfKq6cefVFDzN08qL2zXS+ZlI7Q7PZIV2MsV67lK7WIIrZm1Iphv9Vd6Ss5ssimNYZmdcZt%20Lr+zseeLyetnTLFxQRUA4X5owj394I7/1V+Vnn1f0bQMCWMh7bFItHT6JG1Wu6rIYu+I9dxm3jNU%20T1zyi1PiIonGnNb8SZMSbdb9f73wMfpUjQ+FoDeLH6nb+4WVW9p7q/OU+lPbOo9t62iKhiXumJap%2027afz8ErKopilbV7n3rsodz7uYTMJSb0DU/eYVS4kxblzZ0ZKRnlHg9b7jwlc+2CL3d2dZqWxRiT%20ZVlRw0xSNdPbMZgb2P6OPrS0RV5+XEdvZ5sbLH80Pk3LF0Y1k25d8o0R9fSX3tc37qwjHhobCoEE%20a+aE/MLJYnMqVDacN7fXlvYkbDNBgktB82DKJkfOOZLXCcVvTv3B9Mk1hDsAwv3gU+nJ1zJf/v3d%20FBOnppd/bdKL0+t2MuKb8k2/7zltff4k4tGxx7mxcPdFHU+dMuG9pGrmqvGnt816euAsV598VuMd%20T3/vgf3ZgnVsip1EqpWpu5827Ejs0Ge64TmxuqOzjZ2ZTF0sqoYkP6VdQWCqKOYGdvT092mmkUmn%20/+Ol55Z3b7z3r270Y92yTJfzZDTW0trqSpJlObZDVd0qFAv53Nby8DpBX9kcXje9pTS5lZTkWKDb%20+3W0Dh37s+vXVC9UoxsuaH96Qdv6TFgf0aPP9x79eN/ZtVorjZ/ixNG59Uu+0vlaZzpvu8LbuY4H%20es4cqBxH1dzqq68+9sjanrsaAADC/UCSqKdffmxd5zHNgydOLqvpD1LPL1RH6Y3NsbVDrZYrt8aH%2053flmicEzXCDBwSbWdCmrdKSre31Ee3C44c+U9fDD1KeTMoXaXuOeguJYaPdoC5Su0KxtkisMRxN%20R2PJaDSqhPxSPvTKa8v8wnzOrNk123Ycx65ZerVSKef1Ss7S+rixVeXd9er2tmxpYsNY0y51fzP9%20wwfp0X3LJxATTuscaG/3ds1EseBlt/YKy7ZPyFXTMVmf09w/Z5IpxD74LqfyML26Jbt5JH3ZcT0N%20WQ8dxAAQ7ofEeCOB8ezzPjp5In9o2aLz0bnp8UQe68O15zv19/tgxF13DDkGlSpUqFBRo7KharWo%206UZrrup6oWC+xT8XWKbAaiHBVEQ9FqomwkY6yjNxSsdJjtCu8HUPaDtGdfxtDO0+tSJ/6O5T/rGR%20FD8YSQu9fwEQ7sDGTjDCh7oHja8T3+0MxD50BvI++MBycoDPw8wCfC7tS92NKQ6Azy90hQQAQLgD%20AADCHQAAEO4AAIBwBwAAhDsAAMIdAAAQ7gAAgHAHAACEOwAAINwBABDuGAIAAIQ7AAAg3AEAAOEO%20AAAIdwAA2DOJFAwCAMDnLtyr60MYBQCAzxm2PNKOUQAA+JzBnDsAwOeQRAyDAACAyh0AABDuAACA%20cAcAAIQ7AAAg3AEAEO4AAIBwBwAAhDsAACDcAQAA4Q4AgHAHAACEOwAAINwBAADhDgAACHcAAEC4%20AwAg3AEAAOEOAAAIdwAAQLgDAADCHQAA4Q4AAAh3AABAuAMAAMIdAAAQ7gAAgHAHAEC4AwAAwh0A%20ABDuAACAcAcAAIQ7AADCHQAAEO4AAIBwBwAAhDsAACDcAQAA4Q4AgHAHAACEOwAAINwBAADhDgAA%20CHcAAIQ7AAAg3AEAAOEOAAAIdwAAQLgDAADCHQAA4Q4AAAh3AABAuAMAAMIdAAAQ7gAACHcAAEC4%20AwAAwh0AABDuAACAcAcAAIQ7AADCHQAAEO4AAIBwBwAAhDsAACDcAQAQ7gAAgHAHAACEOwAAINwB%20AADhDgAACHcAAIQ7AAAg3AEAAOEOAAAIdwAAQLgDACDcAQAA4Q4AAAh3AABAuAMAwGfxfwUYAG7w%20Fs0d7AWDAAAAAElFTkSuQmCC" height="333" width="500" overflow="visible"> </image>
    </svg>
    </a></div>
  <div class="toctitle">Revista Ciencias Técnicas Agropecuarias Vol. 31, No. 3, July-September, 2022, ISSN:&nbsp;2071-0054</div>
  <div class="toctitle2"><img src="data:image/png;base64,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" id="codigo" alt="Código QR" height="85" width="85"><script>
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  <div class="toctitle2"><b>CU-ID:</b>&nbsp;<a target="_blank" href="https://cu-id.com/2177/v31n3e06">https://cu-id.com/2177/v31n3e06</a></div>
  <div class="toctitle2"><b>ORIGINAL ARTICLE</b></div>
  <h1>Draft Force Prediction of Narrow Tillage Tool Using the Finite Element Method</h1>
  <div>&nbsp;</div>
  <div>
    <p><sup><a href="https://orcid.org/0000-0002-2545-8865" rel="license"><span class="orcid">iD</span></a></sup>Luis Orlando Marín Cabrera<span class="tooltip"><a href="#c1"><sup>*</sup></a><span class="tooltip-content">✉:<a href="mailto:luismc@unah.edu.cu">luismc@unah.edu.cu</a></span></span><a href="#aff1"></a></p>
    <p><sup><a href="https://orcid.org/0000-0001-7658-563X" rel="license"><span class="orcid">iD</span></a></sup>Armando Eloy García de la Figal Costales<a href="#aff1"></a></p>
    <p><sup><a href="https://orcid.org/0000-0002-0539-1114" rel="license"><span class="orcid">iD</span></a></sup>Arturo Martínez Rodríguez<a href="#aff1"></a></p>
    <br>
    <p id="aff1"><span class="aff"><sup></sup>Universidad
      Agraria de La Habana (UNAH), Centro de Mecanización Agropecuaria 
      (CEMA); Facultad de Ciencias Técnicas, San José de las Lajas, Mayabeque,
      Cuba.</span></p>
  </div>
  <div>&nbsp;</div>
  <p id="c1"> <sup><sup>*</sup></sup>Author for correspondence: Luis Orlando Marín Cabrera, e-mail: <a href="mailto:luismc@unah.edu.cu">luismc@unah.edu.cu</a> </p>
  <div class="titleabstract | box">ABSTRACT</div>
  <div class="box1">
    <p>The
      Finite Element Model (FEM) has been used to predict the soil behavior 
      disturbed by tillage tool, as well as the necessary draft force to break
      it. The aim of the present work is to analyze, by a simulation model of
      soil-tillage tool interaction in finite element, the draft force 
      behavior of the vibratory subsoiler bent leg (narrow farming tillage 
      tool), tilling a Ferralitic soil block, using the linear form to the 
      extended Drucker-Prager elastoplastic constitutive relation model. The 
      software used was Solid Works and its complement <i>Simulation</i> to 
      model the vibratory bent leg and the soil block. The mechanical 
      properties of soil were determined in the soil box CS-CEMA-25 and 
      assigned to simulation model which was analyzed in function of moisture,
      bulk density, working depth and forward speed. The results showed the 
      FEM reliability to predict the draft forces behavior of narrow tillage 
      tool. </p>
    <div class="titlekwd"><i>Keywords</i>:&nbsp; </div>
    <div class="kwd">FEM, Simulation Model, Soil Mechanical Properties</div>
  </div>
  <div class="box2">
    <p class="history">Received: 16/12/2021; Accepted: 24/6/2022</p>
    <p><i>Luis Orlando Marín Cabrera,</i> Especialista, Universidad Agraria de La Habana (UNAH), Facultad de 
      Ciencias Técnicas, Centro de Mecanización Agropecuaria (CEMA), San José 
      de las Lajas, Mayabeque, Cuba, mail: <a href="mailto:luismc@unah.edu.cu">luismc@unah.edu.cu</a> </p>
    <p><i>Armando Eloy García de la Figal Costales,</i> Prof. 
      Titular. Universidad Agraria de La Habana (UNAH). Facultad de Ciencias 
      Técnicas, San José de las Lajas, Mayabeque, Cuba, e-mail: <a href="mailto:areloy@unah.edu.cu">areloy@unah.edu.cu</a> </p>
    <p><i>Arturo Martínez Rodríguez</i>, Prof. Titular e Inv. 
      Titular, Prof. de Mérito. Universidad Agraria de La Habana (UNAH). 
      Facultad de Ciencias Técnicas, Centro de Mecanización Agropecuaria 
      (CEMA), San José de las Lajas, Mayabeque, Cuba, e-mail:<a href="mailto:armaro646@gmail.com">armaro646@gmail.com</a> </p>
    <p><b>AUTHOR CONTRIBUTIONS: Conceptualization:</b> L. O. Marín. Data curation: L. O. Marín, A. García de la Figal A. Martínez. <b>Formal analysis:</b> L. O. Marín, A. García de la Figal A. Martínez. <b>Investigation:</b> L. O. Marín, A. García de la Figal A. Martínez. <b>Methodology:</b> L. O. Marín, A. García de la Figal A. Martínez. <b>Supervision:</b> A. García de la Figal A. Martínez. <b>Roles/Writing, original draft:</b> L. O. Marín, A. García de la Figal A. Martínez. <b>Writing, review &amp; editing:</b> A. García de la Figal, A. Martínez.</p>
    <p>The authors of this work declare no conflict of interests.</p>
    <p class="copyright">This article is under license <a target="_blank" href="https://creativecommons.org/licenses/by-nc/4.0/deed.en_EN">Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)</a></p>
  </div>
  <div class="titleabstract | box"><a id="content"></a>CONTENT</div>
  <div class="box1">
    <nav>
      <ul class="nav">
        <li><a href="#id0x1749000"><span class="menulevel1">INTRODUCTION</span></a></li>
        <li><a href="#id0x22fd680"><span class="menulevel1">METHODS</span></a></li>
        <li><a href="#id0x95dc680"><span class="menulevel1">RESULTS AND DISCUSSION</span></a></li>
        <li><a href="#id0xf9e8880"><span class="menulevel1">CONCLUSIONS</span></a></li>
        <li><a href="#id0xd2daf00"><span class="menulevel1">INTRODUCCIÓN</span></a></li>
        <li><a href="#id0xdee8700"><span class="menulevel1">MATERIALES Y MÉTODOS</span></a></li>
        <li><a href="#id0x19cfe00"><span class="menulevel1">RESULTADOS Y DISCUSIÓN</span></a></li>
        <li><a href="#id0x36c0780"><span class="menulevel1">CONCLUSIONES</span></a></li>
        <li><a href="#ref"><span class="menulevel1">REFERENCES</span></a></li>
      </ul>
    </nav>
  </div>
</header>
<div id="article-front"></div>
<div class="box2" id="article-body">
  <section>
    <article class="section"><a id="id0x1749000"><!-- named anchor --></a>
      <h3>INTRODUCTION</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <p>Tillage,
        in agricultural sense, is the physical management of soil to get the 
        conditions required for proper plant growing and crop production (<span class="tooltip"><a href="#B30">Rao &amp; Chaudhary, 2018</a><span class="tooltip-content">RAO, G.; CHAUDHARY, H.: “A review on effect of vibration in tillage application”, En: <i>IOP Conference Series: Materials Science and Engineering</i>, Ed. IOP Publishing, vol. 377, p. 012030, 2018, ISBN: 1757-899X.</span></span>). It is one of the most energy consuming processes of agricultural production (<span class="tooltip"><a href="#B8">Dehghan &amp; Kalantari, 2016</a><span class="tooltip-content">DEHGHAN, H.H.; KALANTARI, D.: “Design a biomimetic disc using geometric features of the claws”, <i>Agricultural Engineering International: CIGR Journal</i>, 18(1): 103-109, 2016, ISSN: 1682-1130.</span></span>),
        around half of the energy used is consumed in tillage operation due to 
        the magnitude of the draft force generated for breaking the soil (<span class="tooltip"><a href="#B2">Armin <i>et al.</i>, 2015</a><span class="tooltip-content">ARMIN, A.; FOTOUHI, R.; SZYSZKOWSKI, W.: “On the FE modeling of soil-blade interaction in tillage operations”, <i>Finite elements in analysis and design</i>, 92: 1-11, 2014, ISSN: 0168-874X.</span></span>) affected by the agricultural machinery traffic and the compaction (<span class="tooltip"><a href="#B28">Mileusnić <i>et al.</i>, 2022</a><span class="tooltip-content">MILEUSNIĆ, Z.I.; SALJNIKOV, E.; RADOJEVIĆ, R.L.; PETROVIĆ, D.V.: “Soil compaction due to agricultural machinery impact”, <i>Journal of Terramechanics</i>, 100: 51-60, 2022, ISSN: 0022-4898, DOI: <a href="https://doi.org/10.1016/j.jterra.2021.12.002" target="xrefwindow">https://doi.org/10.1016/j.jterra.2021.12.002</a>.</span></span>).</p>
      <p>Draft
        force prediction, clod size and distribution and erosion damage by soil
        tillage are among the major motivations for modelling soil-tillage 
        interaction. Combining field data and laboratory experiments with 
        mathematic models, allow quicker and accurate predictions of the 
        interaction of the new tool design with soil (<span class="tooltip"><a href="#B24">López, 2012</a><span class="tooltip-content">LÓPEZ, B.E.: <i>Simulation of soil and tillage-tool interaction by the discrete element method</i>,
        Catholic University of Leuven, Faculty of Bioscience Engineering, Tesis
        presentada en opción al grado científico de Doctor en Ciencias 
        Técnicas, Belgium, 2012.</span></span>).</p>
      <p>In soil tillage modelling, experimental and analytic models arisen in the 40s of last century (<span class="tooltip"><a href="#B34">Terzaghi, 1943</a><span class="tooltip-content">TERZAGHI, K.: <i>Soil Mechanics</i>, Ed. Wiley, New York, USA, 1943.</span></span>).
        Later, the tillage forces prediction was investigated by numerical 
        methods, which have acquired importance in the latest years because of 
        the accelerate development of computing techniques (<span class="tooltip"><a href="#B19">Herrera <i>et al.</i>, 2015</a><span class="tooltip-content">HERRERA,
        S.M.; IGLESIAS, C.C.E.; JARRE, C.C.; LEÓN, S.Y.; LÓPEZ, B.E.; GONZÁLEZ,
        C.O.: “Predicción de la resistencia del suelo durante la labranza 
        mediante los modelos de presiones pasivas”, <i>Revista Ciencias Técnicas Agropecuarias</i>, 24(3): 5-12, 2015, ISSN: 1010-2760, e-ISSN: 2071-0054.</span></span>).
        Among the numerical methods, the Finite Element Method (FEM) has great 
        acceptation for the computational simulation of soil-tillage tool 
        interaction (<span class="tooltip"><a href="#B12">González <i>et al.</i>, 2013a</a><span class="tooltip-content">GONZÁLEZ,
        C.O.; HERRERA, S.M.; IGLESIAS, C.C.E.; LÓPEZ, B.E.: “Análisis de los 
        modelos constitutivos empleados para simular la compactación del suelo 
        mediante el método de elementos finitos”, <i>Revista Ciencias Técnicas Agropecuarias</i>, 22(3): 75-80, 2013a, ISSN: 1010-2760, e-ISSN: 2071-0054.</span></span>; <span class="tooltip"><a href="#B14">2013b</a><span class="tooltip-content">GONZÁLEZ,
        C.O.; IGLESIAS, C.C.E.; RECAREY, M.C.A.; URRIOLAGOITIA, S.G.; 
        HERNÁNDEZ, G.L.H.; URRIOLAGOITIA, C.G.: “Three dimensional finite 
        element model of soil compaction caused by agricultural tire traffic”, <i>Computers and electronics in agriculture</i>, 99(1): 146-152, 2013b, ISSN: 0168-1699.</span></span>), because of the power for describing it in 3D (<span class="tooltip"><a href="#B16">Herrera <i>et al.</i>, 2013</a><span class="tooltip-content">HERRERA,
        S.M.; GONZÁLEZ, C.O.; DIEGO, N.F.; RUIZ, V.J.; LÓPEZ, B.E.; IGLESIAS, 
        C.C.E.; SÁNCHEZ, I.A.: “Simulación de la respuesta mecánica del suelo en
        la interfase suelo-herramienta de labranza”, <i>Revista Facultad de Ingeniería Universidad de Antioquia</i>, (69): 77-88, 2013, ISSN: 0120-6230.</span></span>; <span class="tooltip"><a href="#B29">Naderi <i>et al.</i>, 2013</a><span class="tooltip-content">NADERI,
        B.M.; ALIMARDANI, R.; HEMMAT, A.; SHARIFI, A.; KEYHANI, A.; TEKESTE, 
        M.Z.; KELLER, T.: “3D finite element simulation of a single-tip 
        horizontal penetrometer-soil interaction. Part I: Development of the 
        model and evaluation of the model parameters”, <i>Soil and Tillage Research</i>, 134: 153-162, 2013, ISSN: 0167-1987.</span></span>; <span class="tooltip"><a href="#B21">Ibrahmi <i>et al.</i>, 2015</a><span class="tooltip-content">IBRAHMI,
        A.; BENTAHER, H.; HBAIEB, M.; MAALEJ, A.; MOUAZEN, A.M.: “Study the 
        effect of tool geometry and operational conditions on mouldboard plough 
        forces and energy requirement: Part 1. Finite element simulation”, <i>Computers and Electronics in Agriculture</i>, 117: 258-267, 2015, ISSN: 0168-1699.</span></span>; <span class="tooltip"><a href="#B27">Marín &amp; García de la Figal, 2019</a><span class="tooltip-content">MARÍN, C.L.O.; GARCÍA DE LA FIGAL, C.A.E.: “Model of Soil-TillageTool Interaction Using Finite Element Method”, <i>Revista Ciencias Técnicas Agropecuarias</i>, 28(4): 40-50, 2019, ISSN: 1010-2760, e-ISSN: 2071-0054.</span></span>). Some authors report satisfactory results in modeling tool structural resistance (<span class="tooltip"><a href="#B5">Biriș <i>et al.</i>, 2016</a><span class="tooltip-content">BIRIȘ,
        S.; MAICAN, E.; VLĂDUȚ, V.; BUNGESCU, S.; UNGUREANU, N.; VLA, D.: 
        “Stress and strains distribution in the frame of agricultural 
        cultivators using the Finite Element Method.”, En: <i>Proceedings of the
        44th International Symposium on Agricultural Engineering: Actual Tasks 
        on Agricultural Engineering, Opatija, Croatia, 23-26 February 2016</i>, Ed. University of Zagreb, Faculty of Agriculture, Opatija, Croatia, pp. 111-117, 2016.</span></span>; <span class="tooltip"><a href="#B6">Constantin <i>et al.</i>, 2019</a><span class="tooltip-content">CONSTANTIN,
        G.A.; VOICU, G.; OLAC, B.; ILIE, F.; PARASCHIV, G.: “Structural 
        analysis with finite elements of a subsoiler working part.”, En: <i>International Symposium, ISB-INMA-TEH, Agricultural and Mechanical Engineering, Bucharest, Romania, 31 October-1 November 2019.</i>, Ed. INMA Bucharest, Bucharest, Romania, pp. 89-95, 2019.</span></span>; <span class="tooltip"><a href="#B11">Gheorghe <i>et al.</i>,2019</a><span class="tooltip-content">GHEORGHE,
        G.; PERSU, C.; GAGEANU, I.; CUJBESCU, D.: “Structural and modal 
        analysis of the subsoiler equipment to prepare the germinative bed.”, 
        En: <i>Proceedings of the 47th International Symposium, Actual Tasks on Agricultural Engineering, 5-7 March 2019, Opatija, Croatia</i>, Ed. University of Zagreb, Faculty of Agriculture, pp. 79-87, 2019.</span></span>), tillage tool efforts prediction over the soil (<span class="tooltip"><a href="#B1">Arefi <i>et al.</i>, 2022</a><span class="tooltip-content">AREFI,
        M.; KARPARVARFARD, S.H.; AZIMI, N.H.; NADERI, B.M.: “Draught force 
        prediction from soil relative density and relative water content for a 
        non-winged chisel blade using finite element modelling”, <i>Journal of Terramechanics</i>, 100: 73-80, 2022, ISSN: 0022-4898, DOI: <a href="https://doi.org/10.1016/j.jterra.2022.01.001" target="xrefwindow">https://doi.org/10.1016/j.jterra.2022.01.001</a>.</span></span>) and draft force in static condition (<span class="tooltip"><a href="#B25">López <i>et al.</i>, 2019</a><span class="tooltip-content">LÓPEZ,
        B.E.; TIJSKENS, E.; GONZÁLEZ, C.O.; HERRERA, S.M.; LORENZO, J.D.; 
        RAMON, H.: “Simulación de la descompactación de un suelo arcilloso 
        empleando el método de elementos discretos”, <i>Revista Ciencias Técnicas Agropecuarias</i>, 28(2), 2019, ISSN: 1010-2760, e-ISSN: 2071-0054.</span></span>).
        It can be used to simulate cohesive soils, getting both the resistance 
        characteristics and data in breaking process and movement of soil mass (<span class="tooltip"><a href="#B26">Lysych, 2019</a><span class="tooltip-content">LYSYCH,
        M.N.: “Review of numerical methods for modeling the interaction of soil
        environments with the tools of soil tillage machines”, En: <i>Journal of Physics: Conference Series</i>, Ed. IOP Publishing, vol. 1399, p. 044014, 2019, DOI: doi:<a href="https://doi.org/10.1088/1742-6596/1399/4/044014" target="xrefwindow">10.1088/1742-6596/1399/4/044014</a>, ISBN: 1742-6596.</span></span>).</p>
      <p>The
        FEM is appropriated for continuous analyses, although the soil 
        deformations, mainly in tillage process, including separation and mixes 
        of its layers, the appearance of cracks and the flow of particles, 
        cannot be modeled appropriately by this method (<span class="tooltip"><a href="#B23">Jakasania <i>et al.</i>, 2018</a><span class="tooltip-content">JAKASANIA, R.G.; JAKASANIA, Y.; PRAMOD, M.: “Soil - tillage tool interaction using numerical methods - a review”, <i>Acta Scientific Agriculture</i>, 2(10): 63-70, 2018, ISSN: 2581-365X.</span></span>). However, the results in the direction of forward movement (draft) under tillage depth are more reliable using FEM (<span class="tooltip"><a href="#B35">Ucgul <i>et al.</i>, 2018</a><span class="tooltip-content">UCGUL,
        M.; SAUNDERS, C.; FIELKE, J.M.: “Comparison of the discrete element and
        finite element methods to model the interaction of soil and tool 
        cutting edge”, <i>Biosystems Engineering</i>, 169: 199-208, 2018, ISSN: 1537-5110, DOI: <a href="https://doi.org/10.1016/j.biosystemseng.2018.03.00" target="xrefwindow">10.1016/j.biosystemseng.2018.03.00</a>.</span></span>).</p>
      <p>The
        main objective of this work is to analyze the prediction of cutting 
        forces behavior in the direction of the forward movement of a tillage 
        tool (vibrating bent leg subsoiler) while tilling a clay loam soil 
        (Ferralitic) with forward speed and working depth assigned, as well as 
        physical properties (moisture and density) and certain mechanical 
        properties, by means of the FEM.</p>
    </article>
    <article class="section"><a id="id0x22fd680"><!-- named anchor --></a>
      <h3>METHODS</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <p><b> <i>Soil Model.</i> </b> The linear form of the extended Drucker-Prager model (<span class="tooltip"><a href="#B7">De la Rosa <i>et al.</i>, 2016</a><span class="tooltip-content">DE
        LA ROSA, A.A.A.; ALCOCER, Q.P.M.; GONZÁLEZ, C.O.; MASAGUER, R.A.; 
        HERRERA, S.M.: “Adjustment of the plastic parameters of the Extended 
        Drucker Prager model for the simulation of the mechanical response of a 
        clayey soil (Vertisol)”, <i>Revista Ciencias Técnicas Agropecuarias</i>, 25(3): 4-12, 2016, ISSN: 1010-2760, e-ISSN: 2071-0054.</span></span>) was used for modelling the soil (<span class="tooltip"><a href="#f1">Figure 1</a></span>). It is classified as an elastoplastic material, as a Rhodic Ferralsol (<span class="tooltip"><a href="#B10">FAO-UNESCO, 1988</a><span class="tooltip-content">FAO- UNESCO: <i>Soil map of the world, reviewed legend</i>, Ed. FAO, Report 80 ed., Roma. Italia, 1988.</span></span>); Oxisol according to USDA <span class="tooltip"><a href="#B31">Soil Survey Staff (2010)</a><span class="tooltip-content">SOIL SURVEY STAFF: <i>Keys to soil taxonomy</i>, Ed. USDA Natural Resources Conservation Service, Washington, DC, USA, 346 p., 2010.</span></span>; typical red Ferralitic, according to the third genetic classification of soils in Cuba (<span class="tooltip"><a href="#B15">Hernández <i>et al.</i>, 1999</a><span class="tooltip-content">HERNÁNDEZ, J.A.; PÉREZ, J.M.; MESA, N.Á.; FUENTES, A.E.; BOSCH, I.D.: <i>Nueva versión de la clasificación genética de los suelos de Cuba.</i>, Ed. AGRINFOR, La Habana, Cuba, 64 p., 1999, ISBN: 978-959-246-022-5.</span></span>). </p>
      <p>For
        its texture, it can be considered like a clay loam very plastic, with 
        17% of sand, 36% of loam, 47 of clay% and 2.58% of organic matter (<span class="tooltip"><a href="#B18">Herrera <i>et al.</i>, 2008b</a><span class="tooltip-content">HERRERA,
        S.M.; IGLESIAS, C.C.E.; GONZÁLEZ, C.O.; LÓPEZ, B.E.; SÁNCHEZ, I.A.: 
        “Propiedades mecánicas de un Rhodic Ferralsol requeridas para la 
        simulación de la interacción suelo implemento de labranza mediante el 
        Método de Elementos Finitos: Parte I”, <i>Revista Ciencias Técnicas Agropecuarias</i>, 17(3): 31-38, 2008b, ISSN: 1010-2760, e-ISSN: 2071-0054.</span></span>; <span class="tooltip"><a href="#B17">2008a</a><span class="tooltip-content">HERRERA,
        S.M.; IGLESIAS, C.C.E.; GONZÁLEZ, C.O.; LÓPEZ, B.E.: “Propiedades 
        mecánicas de un Rhodic Ferralsol requeridas para la simulación de la 
        interacción suelo implemento de labranza mediante el Método de Elementos
        Finitos: Parte II Interfase suelo-herramienta”, <i>Revista Ciencias Técnicas Agropecuarias</i>, 17(4): 50-54, 2008a, ISSN: 1010-2760, e-ISSN: 2071-0054.</span></span>). According <span class="tooltip"><a href="#B29">Naderi <i>et al.</i> (2013)</a><span class="tooltip-content">NADERI,
        B.M.; ALIMARDANI, R.; HEMMAT, A.; SHARIFI, A.; KEYHANI, A.; TEKESTE, 
        M.Z.; KELLER, T.: “3D finite element simulation of a single-tip 
        horizontal penetrometer-soil interaction. Part I: Development of the 
        model and evaluation of the model parameters”, <i>Soil and Tillage Research</i>, 134: 153-162, 2013, ISSN: 0167-1987.</span></span>; <span class="tooltip"><a href="#B20">Ibrahmi <i>et al.</i> (2017)</a><span class="tooltip-content">IBRAHMI,
        A.; BENTAHER, H.; HAMZA, E.; MAALEJ, A.; MOUAZEN, A.M.: “3D finite 
        element simulation of the effect of mouldboard plough’s design on both 
        the energy consumption and the tillage quality”, <i>The International Journal of Advanced Manufacturing Technology</i>, 90(1): 473-487, 2017, ISSN: 1433-3015.</span></span>; <span class="tooltip"><a href="#B1">Arefi <i>et al.</i>, (2022)</a><span class="tooltip-content">AREFI,
        M.; KARPARVARFARD, S.H.; AZIMI, N.H.; NADERI, B.M.: “Draught force 
        prediction from soil relative density and relative water content for a 
        non-winged chisel blade using finite element modelling”, <i>Journal of Terramechanics</i>, 100: 73-80, 2022, ISSN: 0022-4898, DOI: <a href="https://doi.org/10.1016/j.jterra.2022.01.001" target="xrefwindow">https://doi.org/10.1016/j.jterra.2022.01.001</a>.</span></span>, this model is the most appropriate for modelling the soil material, because it can be gauged obtaining data of triaxle tests. </p>
      <p>The yield function of the linear Drucker-Prager model (<span class="tooltip"><a href="#B9">Drucker and Prager, 1952</a><span class="tooltip-content">DRUCKER, D.C.; PRAGER, W.: “Soil mechanics and plastic analysis or limit design”, <i>Quarterly of applied mathematics</i>, 10(2): 157-165, 1952, ISSN: 0033-569X.</span></span>) can be expressed as:</p>
      <div id="e1" class="disp-formula">
        <math>
          <mi>f</mi>
          <mfenced separators="|">
            <mrow>
              <msub>
                <mrow>
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              <mo>,</mo>
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                </mrow>
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              <mo>,</mo>
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                </mrow>
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          </mfenced>
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        </math>
        <span class="labelfig"> &nbsp;(1)</span></div>
      <div style="clear:both"></div>
      <div id="f1" class="fig">
        <div class="zoom">
          <svg xml:space="preserve" enable-background="new 0 0 500 167.582" viewBox="0 0 500 167.582" height="167.582px" width="500px" y="0px" x="0px"  version="1.1">
            <image transform="matrix(1.3736 0 0 1.3736 0 0)" 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zReMEUxMF%200NgDepsGx8xIpGa3slAc2a1tfI4t+Ic2fFl7iGdJIgclnHAsS5BbQyFDcVtCAE1l7t/BEoNTI2Nt%20OUEIJeNZlpj5b0+EsgeqrciQZuOGKnqXibpLbly9iUGTjYferfcx/JTWze2uc9xITUckbcbMoLKD%20JkKhfax9YuNiHDSa6lQuCiF1u7bqst4rI4LHtJJx2ZZyUlhhsRN0X0KNLcRB0ITvRfItRc9NBeQt%20sYGHKOWzCa9Wbz8j1Bj1HBcl26+gzuQI5oTUIqicKDlWN233ETZ24cXm4rszLZjEswMc8waNsMtS%20kWK4063qL7wwrivOvebWNrW06aCw3FsDcJ5LLRca16rHPMQZTDbrxxQdciw34RsE+zd0XL+neGwo%20K6bKqUgv+3mBykGfm81lmXWpc1nGw/tV1uOBj4QobhImrish95OCre1/Ggr+lL/AHqPRTP3h9f0P%20Tvep9N8c6/U6GnrW6Xn5X08aDpNAoFAoMtM//TsWn/Bp6/7TE/x0GpoFAoFBls3vuIxlBwGEbHL7%20kd16YYuI2yzoRFMpT9iFvSi30IiuL4DbjQU+0G8TmdyzXcvNczW5sMSalJomoEMiM2lSEyqkKKhs%20GKuGquLbnpqzemug1AoFAoFAoFAoFByvdDkqd362eCKi47CMSUdut/veQiSFbS3gqNRCsv51B1Sg%20/LjbbrZtOgjjbiKJgSIokKpZUVF5otBlD2bPwxnI2bMGABKpng5WpzGmvsaFPPEv/wB15fzFoJOJ%203tFfmt4rMxXMFnHFs1ClKKtvr/RZA/ZP/Mi608RSgk75t+CdwX4J8NmfqD+ahiVtq34dxVuXo4/6%20oaCsyu9ozU1zFYSK5nc00ul6JFVBZjkvL1ckvs2f8lbn7BWgjN7MnZd0ZW8Zg5BEXU3g4+oMa2qL%20dEMF88pUtze8t+KAnCg1bbbbbYttigNgiCACiIiIiWREROSJQfqg5F24mSIneTfkFx37pl5Cy4bC%20oSWcgNx2JBpxVPN6ltPopg67QKBQKBQKBQKBQKBQKBQKBQKBQKDLTP8A9OxSf8Gnrb/WYlBqaBQQ%20sxmsVhYBz8pJCJEb4K4a8yXkIilyIl8BFFVfCg55ld2bkzshxgsTncLt8CQV9LDL4hLFEvdHUK0V%20or24far+ZQJ+ShRoGIjYHaWXipi8gxLbbCAo+S5NSSUtaajNlw7qSqpX43vSUTu3eIENxZfLPM5J%20qXJOQraS4qRI6MSZjkkQT6zjga7KRfRWtHQqyFAoFAoFAoFAoOKbp1Q95bo3EJF/8fy+3ZshEJbJ%20F9McaQRIiEukWJbp8E5pRXa6IUCgiZXEYvLwXIGTitTIbqWcYeFDFfl48lTwVOKUHN96uzNq4fIY%20eFlCzEWdBlAzt6QZO5JppWSRTivohGTYf0j/AMROVNHttR+bu+Gxjp+SLDxYUZhH9tRTJnJEHTDj%20Mf8AIYtl/R0RF/jF5UHQsXicZiYTcHGRWocNr3GGRQBT2rZOar4rzWgl0Cg/LjjbTZOOEgNgikZk%20tkQUS6qqr7KDk+xFdfy+1c46JI/uIc/kbOadSR5j7D0dLinEUZBpE40HWqBQKBQZvdW5Mzj50HFY%20LGN5PKzG35PTkSPSMhHjK2Liq5odVTUngERQflVUSgin3NwLTMJHmpKzZxmy1CjtrIJX2VaR1sTb%20u2Wgnx8yFpXiqLagjr3i2NrgC3JedXIE2DWhk/L1EbW7iKiKOgnwE094SWypwWwTd0ZXIxN27Phx%20n1ai5GXLamtIiKjgNwXXQRbotrGCLwoNTQZDbW/1z+452GjwCZ+FOyWp77x6eLL5MNdAdP2qHoVT%20IfKHuqurhQa+gUCgUCgUCgUGWl2/vOxf/J56/wC0xEoNTQZbKb0cdnO4ba0VMzmWlQZLmpQgw1Vb%20fepCISISW/RBqc+RE40Hrh9mg1PbzWdkrmtwAio1LcDQxGQuYw49yFnhwU7qZeJeFBpKBQKBQKBQ%20KBQKBQKBQYBjEwXe5O8cPOaV6LuXDwX3hX3CaD1EJ5v59Kjf56Cf2wyUxzAOYHJnrze2HlxOQJeb%20iMiixpHzSIxNufOqp4UGwoIGaz2HwkP1mVlhEYugCpqqkZryBsBuZkvgIoqrQZ/1O8tyraK25tjC%20GnmkviJZR4Vt+iZLW3GRePmc1H+YNB8ze2MNg9ibkCAxZ6RjpZy5bxk7IkH0D8777iq4a/OXDwsl%20TRJZ2thM9tnDfEGLyI8Vg4k1kyZksH0k8zL7ai4C/Mtl8aoj+s3ltq6ZBs9y4Uf/ADsZsRyTIp/H%20Rx0hJT2kygl+YtBocNncRm4STcVLblxlVRU214iScwMVsQGniJIipQZXuR3MTZj2NAYIz/Vnrlh1%200adajI80wTjbek1cVDkDz0j+ddURQ9u50p6TjIm1ITit5HdT/oEMFVDahomudIS3HyR0URVPrkNB%205KAF3YxePiqARMJgHzWKKWVv1kllpi3yaIbifRQbegUCgUHPN2bl7OZw/h24JrEh2C64CAiyG3G3%20OLboIbOgrFZRIb2LxvQQ2M72GYyyZVh6EGQQhNpwQesBAgCnSb06G7oyHuCl7JzqEfDzPYZVimj8%20Rv0Mh2bH6SSG0R591HnTJG0FDQ3QElErjqROHBKtHhufuPsaXu7ZkpjMMmzDmzCfLS5wQoDwpwUO%20PFfCg1H97vbiyr8cZsnigO2/7FBVMby7Lx57GQZmxGpscpLjEgQeEhWaeuTZdPJ0x1EnK/GlFr/e%205254/wBttJbncHeFvb5KDQ4XOYrNwByGKkJKhmpCLwoSIqiti95EXgtBOoFAoFAoFBi9x5fHYjfu%20OyGQeRmO3iJwJwUjMykRVEGmxRTcNbcBFFWg++k3RuxUXIq7t3bpWtjmj0ZKUJJe0l1tfuoqn8G0%20XU9pD7tBqcZi8dioLMDGxm4kJgdLMdkUABT5ET281XxoJVAoFAoFAoFAoFAoFAoFBh99/wBj7m2z%20u7gMaM+eHyx8PLEyZADZkqrwFuW2zfhwRV5Jeg/G8UTa254e+G/JjHxbxe6vAUjKarFmF/VnXFEl%20/INfyUoJx7mz+dcJjakQWoaLpPcOQAkjql7F6WOig7IW3IlUG/YRcqCbhdlYzHzEyktx3LZ3Soll%20pqoboovMWRREbYD81sU+W9BoKCk3zb8E7gutk+GzLr/IHQStt/u7iv6mx+qGgsaDP5nZeNnTlysJ%20xzE56yImVhKgOGg+6L4Kitvh+a4K/IqUFHkZCMnGY7g4SNkI0cl9JuFmP14oKXk1PsmjjsUi4XXz%20N/npQeuxh/EOYm77c4xJILjtsje6DjWjuchOXGY8Ov8AzYt0TFBgO4G1YGeyG4s9kG4LG6pLzGCl%20yHECOsHDkEZtEIysivvPOuhbmK34UV1ZFRUunFF5LQKBQKBQZbdncPEbZy2Kx05l1w8o62yLjStq%20jXWeCO2RgRiaoTroj5RW3FfCg1NBjt3mY742IIqqIU2chJ4LbGvrQaLPZdrDYWdlnmXZDUBg5DjE%20cUJ0hbFSJAFVFFWye2gybnd7CNu7XE4chG9zx4Ult1OmqR0yRg1FFyxXJSddQF0XROfKg3dAoFAo%20FAoFBk529JM+Y7itnxgys9pVCVkXCVMbEJOCo68N1dcH+Ja835ShzoKJNmQXN/49rcRJuKa/iprz%20kua2OlshkRhQYrKXBgEQ1Ty+ZfrEVBDg7V2g53YyWA/CkYcdEw8OY1LVgUaR9ZLyeTy2uSLx438n%20yUV0zJZKBjID8/IPhGhxx1vPuLYRT/Gq8ETxWiPPD5iBmIIzoBmcYyMEVxp1gtTZKBorbwtmliFU%204pQTaBQKBQKBQKBQKBQKBQYrcOfxe5os7bGJgfiEJQFFyLwH04DAmli6kuxJ1AvdAaQjRfZzoKPZ%20mDbzbk3B7+kHm9yYMUjSYMiwwXIrwkLE1mMnlPrtXQzc1ELiGnloVebCyEvGS5Wxcu8T2Qw4I7ip%20bq3OZiiJRYc1fWcY/Qu+N0Ql99KDa0CgpN9LbZO4V5Wxszin+YOglbb/AHdxfj9zY4/yQ0FjQKDE%20b5lSM7k4+wsa4QFPbSTuOW0tijYrUok2hJydmEKsh7B1l9VKCk3tgkhTWdt7EfLD57cDZjJix/8A%20QWIAJpfmOR04Mkl0baNrSpOEnNEWwV25cBByvw3buTfd2N6aDKwcVpG2ZcCXClgDRNR5bw6RPpsJ%20pE9LnyL4iOuwYjMKFHhsX6MZsGWtS3XS2KCN1+ZKD2oFAoFBXZHBbfyUyO9kIMaXMiprjG82BuN+%20ZCQh1IqpYxRUXwVL86CxoMZvK/442GnNPXzVt82Nf40GvkxmJUZ2NIBHI74E282XIgNNJCvzotBQ%20wO3my4EmPJi4pkHoZIcMlRS6OlptgRb1KthEGA0jyRUunHjQaKgUCgUCgrc9uPEYKML+Rf0E6uiN%20GAVcffc8G2GQRTcNb8hSgz/wjcm6/PnlcwuALiGCYctLkCvhOfbVUEV8WWi/yjXlQayFBhwYjUOE%20wEaKwKAyw0KAAingIpwSgzsxf/s3FJb/ANnnrf8A1mJQR4WexzvdjK4UHC+IM4aE8bagqCjaSX7q%20h2tf7UeF6C73LtyNn4DUR952OUeSxNjvsKOsH4riOtFY0MCTUKXEhVF+fjQToEQokNmMUh2UTQoJ%20SZCoTpr4kaigDdfkREoPegUCgUCgUCgUCgUGIe7rYtN1MYCJi8hNB2euKcy7QMhCbmNtq66yRuut%20uETYJddAL4ol1S1B7Sdn7gzeYlO7lyyHt1bhD25BEmWjFFujkyRdHXiJObaaW/kKg1kSJEhxm4sR%20luPGZFAZYaFAbAU5IIiiIifNQZ3eW1ZeSciZvBvNw904nUuPlOIqtPNHZXYcnTxVh7Sl7cQJEMeK%20cQoZUod7RG38ai4PuHtdxHxx8v8ASR3TRRcYdUeDsSWAqKOBcV4GnmCyBqdobribkxSygZOHOjOF%20GymMet1okpv9Iy5bgtuYknAhsScFoLygpN88Nk7g/wCWzP1B/NQStt3/AA7i7pZfSMXTl/BDQWNB%20Q7w3Wzt+C10mSnZmefp8NiWl+1kyFTkn5LYJ53XF4ACKq0GZYlJsiAsUrbh7ibjcWW9FYXSciQVg%201KpXViDFGwCRcBBPrGtlDQ7P2o9iBk5LKyByG5sqoHlsiIqALoRUbYjgqqrcdlFVAG/tIrkSrQXs%202DCnRXYk1huVEeTS9HeAXGzH2EJIqKlBlI+1M1t7LsysLmSDazQKk3ATUKQLYoiqrkWSRK62o2Sz%20ZXDny4WIibW7qDnsy1FLEHjcXKxrWYg5KVJYTqxJBoDJ9ECJQUiXkpXS6X50VvKBQKDDbz2xuedu%20vE5bCuqyDDYsPuhKOPoRJTTxq40gGMgCabMNC+K/Sgbmgxm8kVd8bDXSqp6+bxRFVE/s19eNkW3K%20gut5hmz2vkRwikmTVr7v01QXF4prRsl4I4oX0X+tag50Z90JPwSHGayjBY2YqTJLqtAMiK9IB6P1%20DVT1m1DQm3lIVHqXS11FUDr1AoFAoKbcZbx6QjttvHk6Qkhu5Fx8UA+GhUBkC1p7U1DQZXEbZ33j%20ZzmTciYrJ5p4dLuUmzZJOoK8SbYFIuhhq/1G0RF+tdeNFi69R3Q/mGF/bJX+7UIep7n/AMwwv7XK%20/wB3pCeqGQ/v9d+48jhYj1yYqb0wSVK0aPURrrf0/O9qCY3h+4De45G4Rx2D+ISIbUA19TJRemy6%2046nn9PddXV5W8OdEWSyO6HG0DCL7Pvcvn+zUILI7ocbQMIvs+9y+f7NQgsjuhxtAwi+z73L5/s1C%20CyO6HG0DCL7Pvcvn+zUILI7ocbQMIvs+9y+f7NQgsjuhxtAwi+z73L5/s1CCyO6HG0DCL7Pvcvn+%20zUILI7ocbQMIvs+9y+f7NQj45L7nABmUHCaQFS/0yUnJPG8dET56EQO3O8d2bhV5MzFwrCMAKuji%20smk91sy4iLrYN6A1JxReotBuaBQZ1NgbXTMll0jGkopJT0bR1zojNNlY5Sha1aBeVpVHUifLz40E%20nZuFn4TbGPxU+WU6XEb6bssyMycXUqoqm5cyWy8y40FzQKCg3RsvF5848snHcfmoKF8OzUMkblMa%20uJChKiibZW8zbiKBeKUHPc9j9+YTLBnXIqOZiOCNHuTEMG5GyEcEuLGWxYEb4qll0vMdTpqt0sKq%20FBo9n96tk7hlfCnprGN3APA8Y+8PnX2x3V0i8PBeViT6wpQaPe6a9k59E82rGy7W43uwfKgk7dUQ%2025jFLyiMNhVvwsiNDz5UGP3f3s2dhJZYfHzY2V3GV0GA2+KNsle15ToI500RVRNIiTi8LAt6Cj25%20jt/ZXIvZliP6XMTW+lJ3Vl45NpHYItXpcTiiLqttImlVOQQqZJqNCtpQOgbW2Xh9uA+5HV2Zk5qo%20WRzEw+tMkknJXXLJYR+qAIID9UUoL6gUCgyGU7Zbddws3G4qNGgLOaGK6bzHq20i9ZXjjg04YoDZ%20ERKiAqIJLqTiiUzRrxREFETkiWoFAoFAoFkW3ycqBQKBQKBQKBQKBQKDMS2nF7l4x1AJWxw84Scs%20qihFJiKiKVrIq2W1Bp6BQKBQKBQKBQKCs3PhPju3clhuuUX4hHcj+oFNSh1BUbqNx1J7RvxThQUe%20M25uTG7hCQElpyHkDKRmXGWwZHqNNNsRmW2SR0kZFprwc1auN9PloNfQKBQKBQKBQKCnz2zdp7hD%20RnMNDyacOMpht0ktysRIqpagyO4e1Gy8ZtbOPYmFMjvJBlG2xFn5AUUkYLSIMg+gfIgoNvCg94Ha%20TY2SxGNdykKVLcSMyptSp89wFVWhQhNo3+mqeCio2+Sg1OC2jtXb7fTweIh4wVvf0jDbKrqW63UE%20RVoLagUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgU%20CgUCgUCgUCgUCgUCgUCgUCgUH//Z" height="122" width="364" overflow="visible"> </image>
          </svg>
        </div>
      </div>
      <div class="fig"><span class="labelfig">FIGURE 1.&nbsp; </span><span class="textfig">Yield Surface and flow direction in the southern plane of the extended lineal Drucker-Prager model.</span></div>
      <p><b> <i>Properties and Soil Parameters.</i> </b> The elasticity module (E) was determined as the tangent module to 
        the elastic deformation section of strain stress curve in the right 
        tract, obtained by <span class="tooltip"><a href="#B18">Herrera <i>et al.</i> (2008b</a><span class="tooltip-content">HERRERA,
        S.M.; IGLESIAS, C.C.E.; GONZÁLEZ, C.O.; LÓPEZ, B.E.; SÁNCHEZ, I.A.: 
        “Propiedades mecánicas de un Rhodic Ferralsol requeridas para la 
        simulación de la interacción suelo implemento de labranza mediante el 
        Método de Elementos Finitos: Parte I”, <i>Revista Ciencias Técnicas Agropecuarias</i>, 17(3): 31-38, 2008b, ISSN: 1010-2760, e-ISSN: 2071-0054.</span></span>; <span class="tooltip"><a href="#B17">2008a)</a><span class="tooltip-content">HERRERA,
        S.M.; IGLESIAS, C.C.E.; GONZÁLEZ, C.O.; LÓPEZ, B.E.: “Propiedades 
        mecánicas de un Rhodic Ferralsol requeridas para la simulación de la 
        interacción suelo implemento de labranza mediante el Método de Elementos
        Finitos: Parte II Interfase suelo-herramienta”, <i>Revista Ciencias Técnicas Agropecuarias</i>, 17(4): 50-54, 2008a, ISSN: 1010-2760, e-ISSN: 2071-0054.</span></span> for this kind of soil.</p>
      <p>The Poisson coefficient was determined by the following equation:</p>
      <div id="e2" class="disp-formula">
        <math>
          <mi>ν</mi>
          <mo>=</mo>
          <mfrac>
            <mrow>
              <mi>E</mi>
            </mrow>
            <mrow>
              <mn>2</mn>
              <mo>×</mo>
              <mi>G</mi>
            </mrow>
          </mfrac>
          <mo>-</mo>
          <mn>1</mn>
        </math>
        <span class="labelfig"> &nbsp;</span></div>
      <div style="clear:both"></div>
      <p>The shear module G was calculated by:</p>
      <div id="e3" class="disp-formula">
        <math>
          <mi>G</mi>
          <mo>=</mo>
          <mfrac>
            <mrow>
              <mi>E</mi>
            </mrow>
            <mrow>
              <mn>2</mn>
              <mo>×</mo>
              <mo>(</mo>
              <mn>1</mn>
              <mo>+</mo>
              <mo>)</mo>
            </mrow>
          </mfrac>
        </math>
        <span class="labelfig"> &nbsp;</span></div>
      <div style="clear:both"></div>
      <p> <span class="tooltip"><a href="#t1">Table 1</a></span> shows the 
        properties or parameters required by the FEM model which were obtained 
        in the laboratory of mechanics of soils from the Company of 
        Investigations Applied to Construction, Villa Clara Province (ENIA.VC).</p>
      <div class="table" id="t1"><span class="labelfig">TABLE 1.&nbsp; </span><span class="textfig">Properties or parameters required by the FEM model</span></div>
      <div class="contenedor">
        <div class="outer-centrado">
          <div style="max-width: 1160px;" class="inner-centrado">
            <table>
              <colgroup>
              <col>
              <col>
              <col>
              <col>
              </colgroup>
              <thead>
                <tr>
                  <th align="center">Properties or parameters</th>
                  <th align="center">Symbol</th>
                  <th align="center">Dimension</th>
                  <th align="center">Source</th>
                </tr>
              </thead>
              <tbody>
                <tr>
                  <td align="justify">Internal friction angle</td>
                  <td align="center"><i>φ</i></td>
                  <td align="left">27.19 º</td>
                  <td align="center"><span class="tooltip"><a href="#B19">Herrera <i>et al.</i> (2015)</a><span class="tooltip-content">HERRERA,
                    S.M.; IGLESIAS, C.C.E.; JARRE, C.C.; LEÓN, S.Y.; LÓPEZ, B.E.; GONZÁLEZ,
                    C.O.: “Predicción de la resistencia del suelo durante la labranza 
                    mediante los modelos de presiones pasivas”, <i>Revista Ciencias Técnicas Agropecuarias</i>, 24(3): 5-12, 2015, ISSN: 1010-2760, e-ISSN: 2071-0054.</span></span></td>
                </tr>
                <tr>
                  <td align="justify">Elasticity module</td>
                  <td align="center"><i>E</i></td>
                  <td align="left">104272 kPa</td>
                  <td align="center"><span class="tooltip"><a href="#B18">Herrera <i>et al.</i> (2008)</a><span class="tooltip-content">HERRERA,
                    S.M.; IGLESIAS, C.C.E.; GONZÁLEZ, C.O.; LÓPEZ, B.E.; SÁNCHEZ, I.A.: 
                    “Propiedades mecánicas de un Rhodic Ferralsol requeridas para la 
                    simulación de la interacción suelo implemento de labranza mediante el 
                    Método de Elementos Finitos: Parte I”, <i>Revista Ciencias Técnicas Agropecuarias</i>, 17(3): 31-38, 2008b, ISSN: 1010-2760, e-ISSN: 2071-0054.</span></span></td>
                </tr>
                <tr>
                  <td align="justify">Poisson's ratio</td>
                  <td align="center"><i>υ</i></td>
                  <td align="left">0,44</td>
                  <td align="center">Calculated</td>
                </tr>
                <tr>
                  <td align="justify">Flexion stresses</td>
                  <td align="center"><i>σ</i> <sub> <i>f</i> </sub></td>
                  <td align="left">693.2 kPa</td>
                  <td align="center"><span class="tooltip"><a href="#B13">González <i>et al.</i> (2014)</a><span class="tooltip-content">GONZÁLEZ,
                    C.O.; HERRERA, S.M.; IGLESIAS, C.C.E.; LÓPEZ, B.E.: “Modelos 
                    constitutivos drucker prager extendido y drucker prager modificado para 
                    suelos rhodic ferralsol”, <i>Terra Latinoamericana</i>, 32(4): 283-290, 2014, ISSN: 0187-5779.</span></span></td>
                </tr>
                <tr>
                  <td align="justify">Cohesion</td>
                  <td align="center"><i>d</i></td>
                  <td align="left">217.2 kPa</td>
                  <td align="center"><span class="tooltip"><a href="#B13">González <i>et al.</i> (2014)</a><span class="tooltip-content">GONZÁLEZ,
                    C.O.; HERRERA, S.M.; IGLESIAS, C.C.E.; LÓPEZ, B.E.: “Modelos 
                    constitutivos drucker prager extendido y drucker prager modificado para 
                    suelos rhodic ferralsol”, <i>Terra Latinoamericana</i>, 32(4): 283-290, 2014, ISSN: 0187-5779.</span></span></td>
                </tr>
                <tr>
                  <td align="justify">Dilatancy angle</td>
                  <td align="center"><i>Ψ</i></td>
                  <td align="left">13º</td>
                  <td align="center">González, 2011</td>
                </tr>
                <tr>
                  <td align="justify">Resistance to shear effort</td>
                  <td align="center"><i>τ</i></td>
                  <td align="left">40 kPa</td>
                  <td align="center">Herrera, 2006</td>
                </tr>
                <tr>
                  <td align="justify">Shear module</td>
                  <td align="center"><i>G</i></td>
                  <td align="left">1 793 400 Pa</td>
                  <td align="center">Calculated</td>
                </tr>
                <tr>
                  <td align="justify">Kind of soil</td>
                  <td colspan="2" align="center">Linear elastoplastic </td>
                  <td align="center"></td>
                </tr>
                <tr>
                  <td align="justify">Traction limit of soil</td>
                  <td align="center"><i>σ</i> <sub> <i>t</i> </sub></td>
                  <td align="left">42 000 Pa</td>
                  <td align="center">Calculated</td>
                </tr>
                <tr>
                  <td align="justify">Compression limit of soil</td>
                  <td align="center"><i>σ</i> <sub> <i>c</i> </sub></td>
                  <td align="left">48 000 Pa</td>
                  <td align="center">Calculated</td>
                </tr>
                <tr>
                  <td align="justify">Soil-metal friction angle</td>
                  <td align="center"><i>δ</i></td>
                  <td align="left">23.68º</td>
                  <td align="center"><span class="tooltip"><a href="#B19">Herrera <i>et al.</i> (2015)</a><span class="tooltip-content">HERRERA,
                    S.M.; IGLESIAS, C.C.E.; JARRE, C.C.; LEÓN, S.Y.; LÓPEZ, B.E.; GONZÁLEZ,
                    C.O.: “Predicción de la resistencia del suelo durante la labranza 
                    mediante los modelos de presiones pasivas”, <i>Revista Ciencias Técnicas Agropecuarias</i>, 24(3): 5-12, 2015, ISSN: 1010-2760, e-ISSN: 2071-0054.</span></span></td>
                </tr>
                <tr>
                  <td align="justify">K ratio</td>
                  <td align="center"><i>K</i></td>
                  <td align="left">1</td>
                  <td align="left"></td>
                </tr>
                <tr>
                  <td align="justify">Soil humidity</td>
                  <td align="center"><i>H</i></td>
                  <td align="left">22.4 %</td>
                  <td align="center"></td>
                </tr>
                <tr>
                  <td align="justify">Density</td>
                  <td align="center"><i>ρ</i></td>
                  <td align="left">1 120 kg.m<sup>-3</sup></td>
                  <td align="center">(<span class="tooltip"><a href="#B19">Herrera <i>et al.</i>, 2015</a><span class="tooltip-content">HERRERA,
                    S.M.; IGLESIAS, C.C.E.; JARRE, C.C.; LEÓN, S.Y.; LÓPEZ, B.E.; GONZÁLEZ,
                    C.O.: “Predicción de la resistencia del suelo durante la labranza 
                    mediante los modelos de presiones pasivas”, <i>Revista Ciencias Técnicas Agropecuarias</i>, 24(3): 5-12, 2015, ISSN: 1010-2760, e-ISSN: 2071-0054.</span></span>)</td>
                </tr>
              </tbody>
            </table>
          </div>
        </div>
      </div>
      <div class="clear"></div>
      <p><b> <i>Finite Element Model.</i> </b> It was formed by the farming tool (curved bent and front shear 
        wedge) which was considered as rigid body and the soil block (deformable
        in interaction with the bent leg). The bent leg and the soil block were
        modeled using the design software <i>Solid Works</i> and its complement <i>Simulation</i>.
        The soil block dimensions were: length (2 m), width (1 m) and height (1
        m). The soil block was considered isotropic and homogeneous, it had 
        movement restrictions for the side, bottom and later surfaces (<span class="tooltip"><a href="#f2">Figure 2a</a></span>)
        to which constraints pressures were applied. Over the model act the 
        gravity force and the atmospheric pressure. It is assumed that the 
        increase in the dimensions of the prism of soil cut beyond those 
        assigned, does not affect the draft forces (<span class="tooltip"><a href="#B3">Bentaher <i>et al.</i>, 2013</a><span class="tooltip-content">BENTAHER,
        H.; IBRAHMI, A.; HAMZA, E.; HBAIEB, M.; KANTCHEV, G.; MAALEJ, A.; 
        ARNOLD, W.: “Finite element simulation of moldboard-soil interaction”, <i>Soil and Tillage Research</i>, 134: 11-16, 2013a, ISSN: 0167-1987.</span></span>).
        The interaction soil-farming tool was modeled tangent to the attack 
        surface of the tool, with contact model surface to surface. The general 
        mesh of the model was carried out with an elements size (<b>e</b>) 
        maximum of 0,008 m, minimum size of 0,006 m and the Newton-Raphson 
        iterative method was used. The surfaces in contact, the farming tool and
        the prism of soil cut, were refined applying mesh control with elements
        size of 0,004 m (<span class="tooltip"><a href="#f2">Figure 2b</a></span>). The bent leg cuts the soil block to a constant forward speed of 0.65 m·s<sup>-1</sup> in the direction of the axis X, to a working depth of 0.3 m and cut 
        wide 0.081 m. The soil cut after the flaw slips over the surface of the 
        tool. </p>
      <div id="f2" class="fig">
        <div class="zoom">
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7cBDyH7Vh%202XcpPVoXWk3ioB7rdF7UeoiZdWIqeQp/+Z5I1kECzisRDUlARfsp1shZ/GiPfkWLbgY2DkoeMQ1+%200SPVCdgUS04PT1JF1Hzd6sGrLyuC4vKQZsmEy1BAC2pqHlRm9p/mU3YVI3PVWXypt1xvg02Y9LcP%20phxxBfhBJHRTiyoD52pGyqJAi+52ByMvFcnWjMcexqt4Qw4WHDu81yGgLI81r1YlIovqnoXpsSYO%20KlYXItJBRPxzSpEMIOvm+lC/iSKkETomeO+72HdltYzkC04ye+sNQVvHYiSel0k28xPYU2TVsNKk%20qAKTcHoRRWJlMTjspFXFnsJfZWCCFDUX7pPVJ+IoKV9pyfhBvCDma46V3XHN1SIyCf8Al/Upy3xN%20BbsFyLE5yJ9zjnw6lJs63oFtq/lWn8poJKgEgAkmwGpJoNdzn/8ArblCIkdxSeO4JwrmyW1KQH5C%20dC0FJ7I0VVF4xmZxmTbcXAkIkJZWW3Cgg7VDsbVBmUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUC%20gUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUHC1pQkqWQlI1JOgFBqz3k/a+Q8fXisYtL+WUtJ%20ZdZQHSnaQSCodKwZ8ffbR0/E+QniZoyKxgfaXOTMC7j8o8IzMhkfckaqJR5k26WN+tY7OHbETWat%203nfuLJmvi62Oztlk+xmLw7UTLQXtsqZjZrjSC4AfKm1iL3q8WKRMe7x52+/JfZkna62Fp9xfb2Dz%20THR2FkMSoxC2XUH8v8th2rLmwxfHu0fHeQv419Y29E/hcTCxGHjY2Ij0mI6QlYT1Kh41ktti2KQ1%20c2S7LfN106zJyBx9vj2SebIDrbRUCDYot8e5pdtJx6/ct+KF9q58mXwWDKlvKekOlfqKWL7hvUNu%20vWsXHmeyJbnl7LbeTdbG0Nd+8PGcwxn8e9jIH3cSc6EoQnQNvn6VkAaACtXlYJmaxtL6HwfmMePF%20Nt0fNH8GXwj21w0fNKVzB4/u69q2GVaR9oH0pUTtvXvHwYiYmWnyP3TmvtmyyO2G+mGmmmkNtAJb%20SAEgdLAWFbtHzV0zM1l3ohQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKB%20QKBQKBQKCv5rnXH8Wv0C8Zk2+0Q4g9Z6/wAUJNxQQu7n/JAQAnj+NXey7B2QtPgUKCSg0ExhOB4D%20FH1fSMyWfrkyiXlX7lO/dt/CglsjlsZjGPWnSG4zYHl3qCb/AATfqfhQay5D77MjLDBccxUublLb%20nC60ptCEq+lSeu+9JHmzIxcp1M7lrOXkykfqOLMd2PGZCddhSghKh8T1pEGyP4r7h8KTkMq83BdM%20uW+puKW4gKFRkG7YSkaFVjrSI6EpzIQ5WWSHmeJJajLJU1J9ZUJ0gjRTiUJFvGxpShpWioTsX7nm%20b+28byrchTwKHHt4kRo6bfStZukqHgabjI4rxz3CZmpxXIXWc47iEWiwy4I7brF9FkJBC/Me4okz%206rsORux2xGyODk4wH/8AYNKdY2eK3EBAFKLPqiJvOOHReSw8qMi0Ychv7GemRtSCVHd6hCj0FrUo%20Sxclm8jBTJyXAWVv41sF3JIlFX27if5mSvcnp2TRZmqG5Pi8a5jXMrz/ABrrkt1rdjnIaDdC1C6P%20TSi21Q+FIlKyj+I+/MHERoxDc9zAtn0JbcxhSDHXeySh5V1O7gCSD06UiBvvB8hw2dhJmYqW3LYU%20EkltQUU7hcBQB0NSJEjVFQzvBCZhzHHJH7VmBcq2C7L39K27hOv81qhVzged75Qw/I2P2rNA7QFn%209B49LtOHaFX8BVJW4gEEHUHQigr2fwmQbwcmFxpLUOTLXdxywAAWQHFW7kpqSS1w62vAvOy4K3cZ%20CwSUxITS0/qZCVuspfpm28FK+utelbbwrs97FRXcggNzVthT6B0CjURm0CgUCgUCgUCgUCgUCgUC%20gUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCg8Jc+FDbLkp9DKQCbrUE3t1tfrQV%20WX7gokOfb4KI5Ne6KcUC22n4gkWVQnRiLwnIcupD2cnllkHSIx5AQeylJOtFqlYWIxmOBENlLYJ1%20dNlKv4XojMKlFDtySVNqNyOgKTYUKtR+yqFf9XcpSEXs4okdLHdWpxtL7n0XmZ/2+JtpNtSo7T00%206AeF623zon6khd790jpu8SaSSj+RBX/S2WtoSwq1tf7e9ecmzNx/9S2Z9UD7SC/t1jAUWQd5vfW3%20qK8w8Kx8b6IbnmP/ALN0f8bLcU7kpCkhSyboWodPiAe9ZnN2YWcxsLJYyQJSAShBU07ay0qA6g9R%20SZ0W2ImWrfZvmfJYrGUcyXq5HGsyS36m4rW0hKiL21J0FanFmZrq73nbLbft9tvb8reWNykDJR0y%20ITyXm1C52kEi/ZQ7GttwGVQcKWhA3KISPE6ChEMeLkoEt1xqM+h5bOjoQoK2nwNqkTE7Ml+G+yIm%206JirJqsZQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQcLWlCSpZCUpFyo6A%20CgquX9w8TGcVFxaF5eeNEtRAXEA/1uI3BNBgHDc55Hu/eJIw2OUQRBikLdUPi8napNBYsJxLA4ZA%20EOMn1upku/qPE/FxXmpVKPXMclwmIZLs6UhuwJDe4Fw267UXuaK19/8Adqfm5zkfDRnMZjkrDbeX%20ntFCFk6FSUuAAhB+NIEvhuO4Z3INzHZiOQzFKu6+XQ4ykk6kMgrQKHwYvHcVDyGPykmW1aQufIYT%20NT+kptDLhS3ZQ7IpQmtNEXyT3C/6Yxz2Py8tGZYfQuOxkYlnihShtQh9hBVbU/Uo0mOpr+DpgslE%20yvHImOw2CbnuxmkolyELEZbb9rFSClJNr00EJO417rvy5nHcdyJLLYabkyGV2cKApf8Al+uTftam%202pKd445ySI2MS/mEYGSDZ1pzHILK1+IkKKUrJ8aUgnR5cxb9z2cnjm8SiNkspEWVomp2MXZ2EXdQ%20L+X4HShMsfFs+6mUgol5yU1mY7pIaahKEXYe6XEN3v8AjSiSgOVZP29xbkXjszj77WSdkJVkmWm1%20TfTbIN9q7ak6aUii0d86wmfjmsbgJjPG3p9mUtOTQ6fTP5lRlFOz5UgnZAYrljPDJbkSbnZXM8nC%20GxtlMVTrKEHVSiQVpBSelKlao/l/MJspCIWTYx+Ow0tYnNtNLbdkofa/y/0AApW7dqihXVCtczc4%20Ez/1BipCkNPuIU7FcV6C5Sx0/wBIf8pKfGrU6t5+0n/cVxLnTLcSUtGLzuu+G6oBCrdNi1bQonwq%20DbdBG53juJzkRUbIMBwfkdHldQfFCx5kn5UFQTO5RwlaWZ4czXHidrUtAKpEdPYLA3Kct/MTQld8%20ZlcflIiJcB9EhhfRaCDY+Bt0PwoPPI4TG5F6K9MZDq4ay7H3flURa9BnUCgUCgUCgUCgUCgUCgUC%20gUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUFNn+5ELE8h/asxHXEZdUBGmG5bUT2UbW%20FYLs8WzS51cPi7suLvxzF13W3qt7LzTzSXWlhbaxdK0m4IrNE1cy62bZpO6NyvJ8Li0bpUlO7p6b%20fnX/AOlOtV5UPmnufn4OIGQxeNLcRTyGBIeIuouGwskgEVizXzbbWG94/jW5svZdOlKpODxZiWzH%20n5eS7PeebS6mOtR2JKxewBuLVktlp5IpdMRssLKWWAlthhtlNgBsAA06jSq8Q5sSTfzWJKCdAfw+%20FFp6uqQLg/Wm5JFrDd3PxokMXLvzGsLMehpLsjaotoB11H9leb6003Z+P2d8d309WiPaaVmxznJR%20oDpVIkOFeQQQfIL9Cqubx5vm99v5qOJ/aR/8X0GQArb9W4W3D6SRr9NdR8E4SSQLXBc13dfN4EUK%20qr7nZGdj+Gy3IiCW3gUPEC5SnxAHasHJvmLJ7XV8NixX8iIySq3sLmJs3CvYouB6DCJAeAt5j5to%20P41g4d90xSdnU/cvGw23RfbPzXNp6EjcRZQuUk3tbS4Nbz5aHDjapDK2Aq6nm1JBta56A0ondTVr%20L2NiLhN8hjugLCJK/UNrJIKlaEVq8WKVifV9D5++LpxT/wBq3P8AHnYT/wC5cYeDTw8z0Tddpy+p%2006A1tVq4ExMaS8pPunJYbTEOKWcwo7PtSsJBPS4UR3rHlyTbtFW/weHZmn5ruy2EZlsbyXKsoyHJ%20cynCw0kn7NpW1W09vKRuNat1t92t89sOzx+RhxTNmDH927/NK68MxHH4OMDuGClNP2K33LlayO6i%20da2cVtsRo43keRmyX0y7x06Qz8zn8Zh0NOT3fSS8sNt9yVKIA0/GvV+SLd2tg41+WZi3okQbi9e2%20AoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAuL2vr4UHm/KjR0hT7qWwfp3EC/yvQYWG5Bic%20y26vHvh0MOKadT0UlSTbUUEjQKBQeciVGjNF6S6hlpP1OOKCUj8TQVKb7hpfkGFxyC5lpd9vqC7c%20cHx9YgpNEjV4I4dyPNuIf5Pk1pZA8uOhEsgfBbiD56VVasXg8TimvTx8VqOLWUpCUpUr/EoC5/Gh%20CPzfOON4feJUoLcQCVNM/qrFuxSm5BoKBD9zcjyxxTSfV4xiVLLaJkpo7nxe3lKtnp/4qRKpaXgu%20P47j2WyMZsZV1qM4pEt14SgTt1LZN9uvhTrolZZcd3E4zjUGLOcakNhlLpjemJDx9cBe0M6qHWk+%20x1V/J4Wdmob0jjGPd420w2pxGTuWSVIFyDFsknpTZJ9eqvcM9uuYR8Qci/yc5eE66469i1H7RJWp%20V1rLilG1upFqLMJvI8t4ZjsPMgzcVGjSn2i2hcTZN3qsQlZLY8db0m2pE1R2GzfGcviILPGd/wC+%20RG0sSFtyPs0B1AsStP8AzDfqKs1GOqJ7zYHlyXlzIj7GRjp9dwsJKSpN1FCTfzKT1+NQp6M3OrwW%20Sw0iRnMzIM6wKY8lK4e5Sjtu0lZ0te+lJ9VYOF4fkuExxlsVzhqYy4gfeoluplqTc/UhalkqSP5P%20xolWLN5NzfHu5VPHshjJeIf8z+SEhmMEKNrrbaJ/CwoOuW5Bl8fJw32y8fPdjkTZWSbfakPLSLpI%20XtJUeveh7Ne8rVxkZhGZisraymVc9OJLluFsCOr/ADVpZXa9nBoaEKWeSyIUkwkSDIYUVJlSWUGG%204tsnzK3dVbelIkVGVyZ+MgxHmEvyWXStmc6Q46Ek3TZZuelJNUMvMzHnnHpizLWtCkJU+S4U7v5S%20q9qDEYffjvIeYcU082dyHEEpUkjuCKD6L9m/+6zKYlcTB8wvMxpIbRkb3daB0G/QlY/Gg+uMNm8V%20moDeQxcpuXEc+l1pQUL+GnegzFJStJSoBSVCyknUEHxoKXlOEzsdMXl+Iv8A2conc/jT/wC2e+CU%20XCUK/qtSZJZ/G+cwco+rHTm1Y3NM6PQn/KCen6S1WDg/w0FmoFAoFAoFAoFAoFAoFAoFAoFAoFAo%20FAoFAoFAoFAoFAoFAoFAoFAoFAoFAoNd8z9wsvhOfYPAR2UqhZMfqulNyD5tAfwrWy5ZtuiIdnhc%20DHk4+TLdOtuzYg6VsuMUHC3ENpKlqCEjqpRsP7aCm8szvEJjZx8qMMq9uADLad1tPqC7EaV5uti6%20KSzYM9+K7usmkq1xfjfNmoq4y564uIdUSy0SVPIQT0CgdK8Y8fZp0Z+XzPva3RHd6ws8HiuIhOeq%20WjKlW8z7ygo38NfGsrSmZlW/ehQPB2tvlb++jp2+FyelYOT9P4up4b/X/CVyx4/+JgWF7RmwF31v%20sFh+NZo2c7LPzz8Ze35CBbp9HSx7n4166vGobeVR1CQEgn819DYVA8ySNDbUJbH9utCd3IOwbh5r%20Hy2Nr30INFmERh+K4bCZDI5GA2G5eQWXJDgT3UeleYsiJqy5c999sW3bW7JY3G4/QkdUjqD4/KvT%20FVzYFVtRu03A9R40R5PR2ZUN6M82HGJAKFhfTae4B6UmKrbdSawjeNcXw3GsauFiGvRjrUXlKP1F%20XTUdTXm2yLWXkci7Ld3XJYhKSRYbbX6XunuAK9dGGUfyGZkIuElSYOsxlslNhewtcaVjzTMWz2tr%20hW45y2xk+irS3s3m8xNy+abYevHcQ6uWkgiyxfU1oca67vn4PrvPY+NGG2k1u0p8GwvZ6S8/xye4%20+4p11MtxIJN+jigADW3xo0fO+Z0y2xT+WP4LTlsLj8og+uPTlpI2SkDzoP5fMPCthyFH/wCnGsbm%20PV5et/KQEq/08gkqQjXqtGt71gnjWzdWdXWx+XyWYvt2RFs+sbts4xzHLhNHHqQY20FsN2sARpoK%20zRFHMuumZrO7XnvgkHH4ggaiaz8Db1E9D2rX5X0x8XY8J/qT/wCM/wAGzE/SPlWy4rmgUCgUCgUC%20gUCgUCgUCgUCgUCgUCgUCgUCgUCgUFC5BxHKIycXOx8pJ/cUy2kllLihG+2KvOlTXS9u9OhCF5VB%20lzOTTsfLkuvJyDP3PHnGifTaeipu42oi486yKbKm+IcfysfLsZpLCYLcuMlnLQxYBTzKLJcSBb6l%20Ek1Z3StV8qDFyGVx2OZL02S3HQBfzqCSfkD1okzRU3uc5XLOLjcVxy5NtFTpA9JpJ8QlYG/8DSr1%20s5je38rILErlWRcyDxO77VolqKP6S1dQVRFuiQoMCP6MRluNHTrsbSEJH4Cwou6r8r9zuPYCK84k%20ryD7KdxZiguJFzbzLSFJTr40RV2uV5rkLxj5aYrjMRTgCI+xQccSU3uJA2hI1oMvkOJw2N4o+xBZ%20aLuSWIsbIqUl54uLFw4p4eFqLVI5XPcejIbxrqWMvIDSEM45CEui+0BW5Y3JRdXc0RVcv7Zcjzsa%20QuNOHHEvJPpYeO4FNK00TdBCUhXfSlYNGFg+KcKxGObyB5BJbyDe5l1L7ynpYdSdqglN/U23Hk06%20Ugo7ZvBc5n42VNg51/GYplpTqnZTqnnHkpTfZsulSN3xpBVjYz26xeJwsXIs8seUmQlMmRBedMlK%201ugKLYQFeVJJsdKqsLkvufiMI19mrhu555KWk5SM0EsIS55VK8qSLoBv1qVSfiloUf2+x4iyowQq%20JPYZbyC9n2zja/8A9whStQVqPmt2pp0KyyuSw1voXh+H5p3Iz1bSy24VSG2wg7klD99idRqe4pUo%20p/L8jyT9h++5/iG8xl4Ekx1fa7UBCLDRLY3E/V9QpVKIKVNxLaUs4H7THN5BvaMfOQmS4wnrax2n%20dp4UpV6maKVPTjBDcluMtsJisFSWQpJZcd3W1bGnQ9KSkxVUJ/KE49hEKVB9KU0gojy4SwxvaUd1%20lhIO7Wk06FUUfcLNOYtnHyktTkxXPViyZaA8+3a/kS4rUI11TRELk8xMnylSHFlJUNoQk2SAeoA8%20DRWEpSlG6iSfE0HFAoOyW3FapSVD4Amg2R7O879xuNZyOzx119yO6o7setC3WFg/VZH0hVvzUKPs%20n2+94sLykuwpbLmLzMVRblRZCSlO5Ol0rUEp1PSg2D1oIXkvEcRn2AJSC3Kb/wAiaydj7Z7bVjW1%20CFbY5FyHiTrcLkyDNxR8rGaZSSU+CXWxuV/xUF5iS4sthEiK6h5hYuhxtQUk/iKD1oFAoFAoFAoF%20AoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoNX+6gSOVcWULBz7k2NvN9J6GtXPHzW/F%203fEXf08sdO1saZkoMFkuy3ktJSLncRf+HWtqHCUyX7pxJOaOBwUdUvIqRvS4fKhOttQQKx/cju7W%201/aXfZ+70Dx/PZRXqZvJKSgm64TJKEW/tFZOrWrCXx+JxeNARBjpTt0KiPPf/F4UqkQyQokbio6m%205UOgI7WoRDhIF0Aj69VA9TbvehDWnv7kXUcRRiW07pMl1Lja+n0HsT0IvWpzL5i19H+2+HOTLN/S%201YfbHPJy3E4TLmsqG2G3VHUbkgAXPfpXvi5vuWVhp+Z4H9vmn0u1hazYKKlaECytL9e6fnWw5Eg+%20o3BKgnr/ACi2hHzodQE3SCVAKSDe/W2v4U9xwbK10BB36CxsfA0KOdxvvuUouTa+pv3psFljaLWc%20Pc9k/HxovRwfACySf0h3v4jwFKp1ck+Yi1wBcD+Y+N6UKya+QKOpFg4Ot/Chs4uNVHygDaq3UfI0%20Pi7BVl7bbt4sseKfE0qTRAYbifH+Pxsu5i20fczUrcftbcTr1/jXi3DFtaNrPycuSbZv2jZWvZCd%20HdwOShs6PR5bq1oOo1cUaxcasxr6t/zlkxktu6XWx/BsNNx5b2OpWodgf7zWw40OHUIeZUy+2HWl%206ekrW48VUKSrzuFyuBfXN42r1GVeZ/HrN0kd9nQChHuqvuly7F5XEYcrWY0tqa39xFcBumy03Nav%20Kutike7v+D4+SZuuiNO2dW1HeT4BjH/eqmt/bJGir6mw7DrWa7LbEVq5NnCy3X9kWzVU5PuXMyT7%20cPjGPckurIK5Tgs2gX10IF6wTyJumlkOtb4e3FE3Z7otj06yvsYvmO2XwEvFI9QDoDW1DhXUrps9%20KryUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUEByrjD2eEZoT3oUdtW577dRQ4sX6bh0oJDG4PH4%20+IxGZQVpj3LS3TvWCrUnd8aDpl+SYXENFc6Uhsj/AJYO5w/JCbqoKz/1Ny7kB28egfYwiSP3OYLg%20g90snasUGVjvbuAXEys6+5mZvU/cnewk/wBDar7aCzqXCgxhuU3GjNCwuQhCR4a2FBSuVe7uGwzK%20BAivZeY8pTbDDAKUqWkXt6hBTRImqnYnknMuYtmXkcdLjoF92JiSkx3UJ/lcB6/O1JmixLz5byN7%20DY2Lj4fD3YrEtwCWlt1tTj7YF9t0i6jcXokUTcXlE3mkZCERIeLZWiwRlW0uLbA027VFBJ70mFj9%20Fazvsv8Af8igY08jnMPvtmfJjxXlMwEobVs/QYFwjr400SI9XrH4U1wtp56a8coogmTLgSERpBA+%20lKkEqWry9ao8GuSe3+XKoODnZpU/cluWtankpi7x9ZJQArb8KizKPk8d9oOMZaNl5GalTn3VenMk%20SHVF8KUbB1G4bvJ4UFjxOG4pzJS3GcrOiYJv1Gt0iYErlKVolQSraQlPe/Wk6lEdx/C8VwT0pqJm%20YrOYiurbDEwffpLJNkKCWz+Ydu1IOryVzvkeQz8WBOxkWFicX6p3OlDcecHE7QUsqI2lNrhJ1pU0%20Q06ZzLK5VXHshx2LHwDx9dORWporSws+QA3ulKrWAoMSQ5yDhuKyEvAw1IxDbxbakMT2Uekq4Fii%20+5aRftQhrqfyjlcSQnO8mzemQcXEUhslf6KE70OBKSSklXegrTfLXYbS8xNYj5AurVEbe9Kz2224%20Pesb+ft40IlTE5yT6Lkdy7rCiVJQs3Nz4nvSN9RgOvvPEF1alkCw3G9hQedAoFB2Sha9EpKiOthe%20gyW8VPcDSgyoIeWG21KFgSTbvQbE4/w/JNRkxMwWcWxj978lakb3nG3hdFgk7lJ00poq9PwGMFxm%20N9i5OdeyCwuGcew8xJDdwbpc2naCOtOhVYYmE50+wnkOQhBvHbEsIiPSW0SXkM+ZC1OqI/V1urS9%20Nk9109r/AHR9xn5U1vN8fcHHYthGlF1CnkJ3W8xH+Zp4CkQR7t3QMjCyEZMmG8l9lXRSCDY+B8D8%20KD1kR2JDK2H0JdZcG1bahdJB7EGgo8rieb4y+vIcQWXIZ80jBOq8itb/AKBNkt0oJzjXNMRnAWm1%20GNkG9H4LwKHEq7gbgNw+IoJ+gUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUA9KCm%20Q/czGJ5C/g8o2qBIQoiO85o24m+lj2rB9+O7tnR1b/F3TijJZPd6x1hckOIWgLQoKQdQoG4/jWdy%205iiKyvKcLjARIkJ9X8rSfMonw0vRGkPdL3CdyOaxP2McsnHvlxTjgspIKdt+1c3kZ6Xx7PtfEeHm%207j3TN3+pDYGCwuOzcSNlsjJcnPPEbUuXKLeFiK6GO/uivq+Q5OG7FfOOd4QkBDTPvdJQ0hLSRF2h%20KRbTcKwf/wArpXU/sP8A3NhG1yF9kk66m1+htW04+jsLkjUpUfME+AGn8KnUdQdNSQEn9Qd7/PuK%20DkjQhR8p8xUOifDaPGhT1Vf3I4SnmWAEBtZjzWVpVHf726n+NYsuK2+NW94/m38a/utnSd4SXFON%20ROOYFjFsC6ggfcO9i5bqfxr1js7YpDHy+TfnyTdKWBVoNd2l0g9h3Hwr30avQ3W6kqJJ2gdbd6bh%20ewuSVEaC35h8flQEhPkSnzD6jfoAelD4OOoBUASo7VX7geHhQ+Ln817FSm9AD1PxHxoUAehCrk6N%20rPceCqEbOSDtACCANdlx18BQq48w1vcJF0r728FUPYNtRfRJ3KPZP+GhLsAN4tcAm+8dVGlSWrkS%20cq5zHmgiuLUphhBQ0k2SE+lc2Sa0piZvupu+jxzZbx8M3x8tZ/iqnsC9kXM9km4KXFRd6jP36JCl%20E+NvjWLixd3Op+4c3HuwR/m07W+zZSvKLtgEItpYj510nw9XASSgHqo9fiB2NKrs5SpaV2TZNwCg%20nXpqRp4UolWhvfsQ5+fwxxAL8951TLraO6k21PyvXN5VsXTFN3237eyZMOG7vj5I1j8Vo4nxfH4Z%20+MxzNCnX3QFNL1MdF+gUNdaz4+JEREy5PM/cGXJN0Y6W2+sbtnyuQcWwWPLvqtMxwPKhoXJ+ACa2%20L77bdZczFx83Jv0ibplkcd5Lj87jxOiHayTbzEAj5jtUx5IvisPPL4d+C/su3YWb5/xvEhSHJIek%20j6Y7V1KJ+YBFeb89tserY4vis+bWLaW+soLE8l5/mMs09HxyImFUdS8LrKf49ax235Lp2pa3OTxO%20Hhx0m+bs3ts2AL2F+vetpwSgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCggs3zXAYgbH5HqyDoiOyC4s%20q8DsCrfjQQn3nPuQqKYrCcDjVj/OeIcfWD3QUEbPxFNBJ4jgGBgPCU+leRyGhMyYQ64CP5SRpQT0%20ydChMl2U8hltIuSsgaDwvQa95L7wrjBcfjeFkZqYtJMe36KVFIuu3qBN9qdaVRXsPl8xyqOjKZjE%20y8k0TZWNafQ3HQoa7XGV6kjxosPPkvOFY/OYiGrjEiHBgky5cdlaCAhwFCFnYNfNQrKbnzJ+V25X%20F8elwp7iQU5GPIaHqjsh7bqofCndBVUXfd3Mtczis8m4nLak45n9FhhSXEpe3EeqSgKFtppqq2Kb%20yPLruLYxURSVBapMpsLWpVrAJG4G4HeiSqcL20Q7lcu7I5nkWBi1hDC1ySTuKQvYE2uWdfoFIgZr%20X32IWj9px8bmmTKSnYI62HzfXcuQ9ZBAoV9GFxXkvNJT2TyGUwrHFsNlHktKkupD2rILawn0j5Tc%20fUdKK7ycb7PZLPJgMOtZIxrPzpTqDIc3J8wbZKRdO/vSEY+T5Ng0PP4rCYBjKQWFpQ3lZCA2mIp3%208rnqbSq3w6UNlWcwrUSUnNYXGQ4327pRkMwt5kj1VmyS0gK3gJVQqrWTyUORIyDJnKmZIOh5U/JH%207mGghW5So7SbKSTbrehRC5bluTlS231TZTklxBa9UO/6B1poXRuY+q340quypS8y5PadhSXwqO0o%20ylPRbtMoUrQIU2blSbjtSuiaK8vkclySpyS00+2Uel6ZT5QkdCkE6GoI9c+WqMYvqqEXf6gYBOwK%20Ol7VRj0Cg7BCykqCTtGhVbS/zoO0eO7IdDTQ3LPQXA/voJeVw7ORgje0lTiwClptaFqsfgkmhROc%20a4pMiz3GMyh6EJDRS3tbWtXnH13QFWCe96RGpo2/jfb57j8ViZksnAzEV9rczEcASpvYPIlO9Win%20fGkHxeE5nZHkPcpbVgMq60Tj8k7/APJNrj2/SZH2u8t7U6Dd0pUTeCkcvxWPjZxzl6pJbjIRGx5Y%20fbKWAnqgrFr7evjQj0RON5FxXJ8hS5lY+fzOOlrvGQ46puMiZe7ykocQLA6UhYluBvgOWyrASxkZ%20WCxKtxbabfS4so26hK2/Kny0eYpMetUb7a8AyHGmclkuPZ2Y+yuYsRIM5wuNPiw86h5fMf5qK2fg%20OYszX1Y7JMqx+WZ0eYc+gn+hz6FfIGgsdBXeT8Kx2aUmY0pUHMM6xsiwdjiSOgURqU/ClRrvl3vo%2097bSIWI5jDVKlSFj0p0chKHGAbKd2ncbpOlBtnC5nG5rGR8ljn0SIklAW24ggixF7G3cUGbQKBQK%20BQKBQKBQKBQCQOptQRPJOS4/A4/72WfIVBCQDqSa1+TybcNvdds1uVy7MFnfdsy8XlIeShtyojgd%20aWAbp7X7V7w5rclvdbNYZMGa3LZF1s6Sy6yspQKBQKBQKBQKBQKBQKBQKBQdXHW20lTighIFySbC%201FiKqFzfJ8Iy0cwpDH7lIc8qSwLrQodDut2rxfZF8Ultcfk5eNf3WzSUZxrj/NUYtUJ/ImHjws/b%20XJ9T0j0SbfCmLH2xSNTmcuc9/fNsRd1p/FYMdxjC4/8AUU2qU+Pqee8xBrI1Oise4HtirlGdxeUY%20cEdDBAnNn86BrbT41rZsHfMS63jvJzx7Lrdddl6YajR2W48RAbjMoAbQnQ2HetilHKm6Z1mazLWb%20WdxLfve/vkpIUxsC9doO7pfxrUuyUyazo+hjhZZ4FIt2mv8A1bN3AklJISroE9h/Ma25/R89MS5J%20AUoqvboQOw/mNKJLg327dCoeYDtYfy/GhMuV23HcfKRuF9bEdxag5BO8ncVbU6W0OvjQcJT9IIGl%2091ulj4/GnuRAL6m3lTpp0Kf/ACofE6W22ClfR4KSO3zodDSxCjZPa/VJPanwNnI3lRSTdQ+odrdj%20Q0dT9BFgfN5vD/ioQ5IJWoaqI8yR+YHpp8KUNjXzabiPrSnQFX40IlwADtuQSs7t3x8E0KufqtdK%20dTt2nrt8KFAbr6ecI1Srv8jQ1hy2n9UJQkbh9R7AHWwojX3FTv8AdzlBVoS20lTZ1uPSFa9n+rc7%20PIj/AGWKa+v8VzxuExOHbfbxjCY4kLK3UAWuom56fOs9tsROjmZM199O6a0ZxBuQBqQAArpbuBbv%20Vqxautk7evl6IJ6pJ/KfhQh3aSoKUlI2p2ELt306JpBNXzVx7IqX7y/YSCj7ZidIU0lzUbleP8K5%20ds/1ae8vucmL/YRdFZmbYfSU5iLMSuLKQl+OseZJ6D411Hw0aKBmOEO4txzJ4pteRbCSG4TpuWz/%20ADJ6CsV+G250ON5LJjpbdM/brrTdSeEtcpyfK3cLHW7CiPDfPcvbbrqkfwrQsxZO6k7PreX5Hh3Y%20IyW0vvt2/wCreGF9v+MYrYtmIlx9H/PcG5d63rMFtu0Pk+V5XPm3unt9OixgADTQCsznMdGRgrlK%20ioeSqQkXU2DcgVIuitGScV0W91NGRVYygUCgUCgUCgUCgUCgUCgUCgUCg4UpKUlSiEpHUnQUFazP%20P8Nj3xDjBWRyCzZEWPqSf8dtg/jQnSEb9hzzkRBnSP2HHKOsaOf9Xb4uAqRQqncFw7AYX9SJGBlH%20/MluWU8snupVJipLOyebxeMjrfmyUNIR9QvdX/pGtBr/ACnudnclNex/FMQ6+iOkLl5B3yoQ2sXB%20Sg7V3sDQ6umGi8XzD7bmUyrmVyLZ3Lgz1FLTfjtSsI6dtaSlUhiJbM/K5DNqfabi49SoGOYKk7WP%20QJDjiRfXek20p1ekdlctxeK8clhsp9vllaqQy079s74l5ASSSfnRI91U4t7xQsrzLLNScQ9KloaE%20FITtQ0oIVeyfUtbrSTZPSM7P456suLjpeOhLJW5jJJD7bg6lMYNX2K73VpVidRXuJe9jU3K5WTHw%20Ett7JP3iy3xdpLW0CyrAabgakCfl4HG51lU7J5HGxosK7h+wQuM/e19qlOmxGvYUoK7B9uMW1Cjc%20rlZF6cVkuyfUfQpbASopS4B3ASBoNaalFpcivqxjKePcpkPrn+WE2y5bbfQrVp5dp8aFFbwGF5fh%20RIwfMZD+VhNlbiUw3UNNqaWdy/UDn1ddbUgidfdr+RNwGNyD+b4VjlwMwHS3OYZIZjNNgkJdSF2/%20U263v1oQwJvL24IaiZx1zJ46a6XXWmlBKX3FqvZ3d9RSTSZGuOXvYrbMT+3yYbKHNzKWHEpYKXD5%20UqGu7b8KaEq5DyjOOUpLz7sttbADSG1WQkrSQUrCuu34UGG3n57cdDCFD02wQi/UBQsaTuRowEuu%20JSpKVEJXosDvbXWg6UCg5saDt6L1t2xVr7b2Nr+HzoLLx7BNz8e6hzIekhdyYu1Q840CiSLH8KC1%20YLhC3YUJGLhMzJjpUqQ++pCfTSlVidqilR/ClZ6C3cU4DxJMaXlOTSncUrHr2HJYtYTtKrkJdRZa%201Xt2FKErNxd5OQiyeVp5EI+GS0/DOPdQ4JS2k+T1Cq22ywL2telZKvbhHGeI8yZZyQwM/LsQlutA%20LWhDaiTZta0uBJsm100mSJ9Vhg+3ucmy3cXxtYwWDaUo5RbiSsqcV9CGyjS27rQXPDYqFC9PF8q9%20WRkWbIxwk+eM4hOiS0APJ/xGixMVr1SzjbUnmf2jiG0Y/FREvyIhCQ0C+FIKk9qqRCvzn56PuYnt%202lcoLSQ9FWlSIjP8xaSrbqoeXrU+JWWbxZ3lkzGMxIT2OgOQmw29jpTDqn2SOylJISo/FNKDE5hx%20XP5pLGJfzRXmnlh1hMQKRHigf82xBI6Wte9Kk7rFCynIeMMIRlVry2HZSA9kwFF1s9LrB8yh8hUh%20Jmm65wZ0WdFblRXA6w6NyFjw+RqqqfuPw7275Fjz/wBWx2FhtJS1IXb1mwf/AKfU/wBlCWsfb7A8%20k4jk34Xt0t7L8SkG6v3Am0d090A+mdvUm1PiTu3VxuFno0Vf71LblSnFbrtApQkfygKodUvQKBQK%20BQKBQKDhS0oF1EJHiakzRJmIQ3LeRtYDBv5IpDhbHkRf6j4Vr8rP9qybo1avN5X2cU37tX8v93v3%20HEsMYxKmJFwuQruLdhXD5flvuY+2ysTL5rned+5i7cdbbp6qXmeRZrL4uMJrqnGIpPpA9SSb3V8q%205WTm5L4jHdNaOHm8hkyxGO+a0Xz2TzE0FcJQW5HVcgjVKa6fhc90ZJx/y/w/9Xa/bnIujJdj3j+D%20cVfTvsigUCgUCgUCgUCgUCgUCgxZ2Ux8Bv1Jb6GUdio0FVlc9kTHDH4/CXLcFwXVCyPmNRQiiLzO%20BzeQws6TnJ5R6bK1tRmyRZQSTY1LtpZME/1LaesMb2baYa4QiTsAfMl4F06k9LDWsXHr26uj5u2I%205E/CF0WVEhSrhdhYq6A97W71mlyqOSClSVWJVa3a6vnSSXUgJ66bTuJ8L/y0Pd2F1nav81zs8EkW%2081CrSUz28z//ANzm4yUIGIeX6xli9wPAGudfxa5PZ9lj/cH+0mJp3xFIbsSlTTaEW3elZOv5rDqK%206MxD46ZmdQb9UpN1A33f7FU0SEdySQuPxfLSI52usxlrbcPdQHavOSflmWfixF2W2J1rKN9usjMy%20HDYkyW5veUVeoT3SFEaVj48/LE9Wz5WyLORdFsUjRYykdyNoF9yuu09RWarn6Ftb20NiL9NqfChL%20g28qjoCboWO1/H50Jo5IuopOg6qSelx3FFkClHasXN9Ld/8AEmie7iw2KSNQk3JPRR+Pxoe0O2vq%20A2IuNb9vgPjQ1RfJZ8nHcWyU+GQJUZAUgr/mJA81q8ZLqWzLY4dlt+a227aZ1ePC8lMyfF4WRlqD%20spzRwjqflUwzN1sTL3z8duPNdZZ9MJqyhdQ8ykCw8TWSrUcbUkbU3230t+U+IoTAoG5Kh5iki3b5%20qppUo4dDpbWlhW2QlBLRPRRqV0e7Lo7ors+fuMZbOte7M2OXFpyk5wCU1Y6Np8u7/wBNcy37n3H3%20XL/tP7CIiPl6fF9BqBSpKB9SBqD0V4n511HwLqoABQIsFEbfAE9xSq6Ox+oXCgvx0/L/AL6GtHLR%20SS4rspJupXbToflRJ2fIs5ma97pTmoDSnZTk1aWij8t1W3fKuNfbW+Yj1fpvEz24eJZdfHy9n+D6%20txMKTBxEWHMWX5CUBLpPUqA7fKuvZExFJfnHIyxkvm6IpEzszUqIUE3CtdpUep+Hzr0xK1yiFiYn%20+uZnJxGRQNwKCP1D4KtfrRKMHD+80NyC83LiuKybC/TS0gf5hA0IrHkyxa6HB8fdyJntmIiN6sht%20HuNyZfq+oMLj16oAv6hT/wDzVgj7l/8A2w6d39nxop/q3/osPFeDwMC6uUHXJM94WekOG5N/CsuL%20BFm27n87yd/IiLaRbZG0QstZnNKBQKBQYGZz2IwsQysnKbjMjTcsgXPgBQa2zP8A3A4BqezGxDX3%207KlArkhSUp9MaKUASDofGkrRfOJc049yvHffYaWmQ2k7XUi4KFDqCDajzCcopQKBQKBQKBQdHXmm%20UFbq0oQNSpRAH9tBU5/uHEW+uFgYzmXnjTYyNqEnxUpe0W+VBjji/LM9ZzkeR+0iEaY+ASgH4Ole%206/4UJos2G47hcMz6ONiojpP1FI1UfEmg8M7y3CYVCfu3wXnNGmEArWo+HlBt+NJFC5vzL3Rdx7C+%20N4T7GJJV6cvITLFUZpRsZFkKvZI83Sgio+BzeLgN517I4bkE1SkpYlSUPLcceWbIQmxFrq8aUOr1%20xfH+b47LuTOUchXElZraW3ofkYa2/RHIUCbp3bRQo59wPbrAZLEKfzUyZOyilojxntyQVKUraNtg%20NE31pSUtmr1g+2zfH2ov2eOYzrcVltEmK9cyQ6n6ihRKUW8L0qROqUd5hhUxHYGCbZhcgmKEc45d%20gtqx/U3m+24STaxpX8nrXq4yHHcJis5i2lNtScdkWvspUh0pJStsFwOgp6LJtrUlHnmuUyuGw32X%20MgMrBW2UxUWLspk+Li0jYU200qkoXhXuQMlxeHj4ENvH3Bbecyw/TNyTusgpJFVaIXM8U4BzHMmL%20lc4lYxqtsxyMohG6270UC17a3qJRgROSe2uLjjApxLKpbT4it5V9C/SKVXIV4girEa7mtGPl8HwT%20jeTZnYvlMrEJyKFLd+2XtS5KBAbYsUmyFi/++p7lJ6fqgMxlXZueZhZebLUkFDcNEdxIWQ5qVOE6%20daK13zbMPNOzsevIqehNutqb+5O4vene6DsA1T0FSnRKtf5jLS3iy0mYp6MyCphFz+nv1KR8qswO%20ctyCRkMdChLUsNxN1mrj07qtdQHW5trQRFAoFBzQZ2Jws/KSTGioKnbXAOnT40FjwOHyEluVijik%20vzYyPXbkaJWEghP1KIBFzSKSLxjeLTGJLEVUaROybriZCcKko2JWBt9ck+XQadaVgXyB7a4rJNTM%20Th50SXmIbqURmFn9FG9O9bi+l1IUduhpIyIftA2jEucizkzHfvMJe0NMJc9X1E3CEdeqgNKIzcNx%20fkcJcn994xExTeZU26xmYySWI/pDalLydy17nb7tBRUjjfb/AJVEzzmPnzsTMghKZ4ddbdLYDQ3J%200BHY61VS8nCe4ufekSsXOawmMbTskNQQW0TW0gizSVXINvHxqVSn5LHhsJJ/amDj+Sy246PIppKg%20C24n60L8vUHQ0StN9nhyPBSThJD87kMx5AOxhJUCr1VnanZ5eyrUepVLB+1GcbzjcHkfKMg+ZbCH%20owUsbXVi6lMPHbr6drp+NIpV5+C65GErBxm0yuWyojYSEsx0HcdO1kpNHqk1Vqbw3n3JJ8fI4jOS%20sRHjErRkXj+rKuLBI2j6PmKVhExxLjOcXFklzkk5OaS8UZZO9Oj1gfLdP0WtTUiNaunI8s1gFJYm%20cwmPzj9MJlaS4r4btpQPxpKxVrTBct5pE5aubishIb47knPtTGkndZatfWZCRpa3elEiat28Y4px%20LKhOWdmL5BJ7PyzuU2QdQlNkka+NCY1XlttttAQhIShIsEjQAUHagUCgUCgUCgUCgqvIcphcrAmQ%20EzfRfYBJKTZQIGlq0OVkw5InHddSf4OXy82DLbdjuupLSeWy2WyWPXAyy3Ir7N3WDI0SsJNh0vpX%20zF85rr+26a29HyE28i6e2+6bopp8EFio7OSiusJWlCwfMlWm4jwrWutm29odvbkiLtI9XsxJkMb4%20yo33DSQW7job/mHxFb/j/Hxmu75+l2fF+I+9f3364+ic4Ly7JcPnISplt+BOeS0pIvubKzYf+dfR%208TiRh7qa1fWcPg28eJiJ3fRzDqXmG3U9HEhQ/EXrdbrvQKBQKBQVD3A5fI467hUMtlf7jKMdR7AB%20N9aw5ck20o6HA41uWL+7+W2q3joKzOeUHVxextS7FW0XsOposRVTuP8AuZi8hlZWKyCFYycwuzLT%20/l9VP8yawWZomaTo6ebxd1uO3JZPfbMa06fFcwQRcHQ96zuWhszy3C4kWkPBTl7ekjVVFor7vIuV%20ZobMTF+yjE/+7euNPwvSqTo6x+Hw1PJkZd9eSkq/5aj+mPiLW6UoV9qJ5oNMthphHpNtkAtpABt2%20PyoQxM6FL49kr3P6Lm0m38p/sqXbSyYfrt+Ks+0G48CasnaoSnQQjqSCPGsHG+l0PNTXkf8Athcf%20LuuNU3INugV8a2HM+AgeY2F9qdpt0v4a0SBNkrAIACU2UU/3a0Ih1NtllG4CrKP/AOahPu7KSCs+%20Uly/kUbeUeI+FA1G6yST+dJ6qHiKUHHVBSDdB1T8u4VSTdG8sBVxbLlNyExlkfAAflqZNLZ+DNxt%20M1lf80If2rsOBwldytdr9/OdKxcf6Ibnl/8A7N34LUoJ2KuCVEjzHqT4D5Vmc2nq7EneLqOqe/UW%20HahRx5rIHe+u36rH/wAa0g1B/wAzYSADcEdL9/8AzoORqeo2FN1jsPiKHu4BuEK7C4Hj/iTT4m7g%20WG21yfqt3UTprSNSmiG5sP8A/i8yhGtmBoOgO4aViz62S2uDP9ez4sX21cT/ANC4sghAtZXx61MH%200Qy+Un/c3LGAAAoptYbQlP5u+lZp9GhQUkmydoJI2q29u/8ACgXABUgnXy3/AJj4iiaO1yhR22SE%20puSrufGi6sFGCxCMyrNpip/dXkbDJI6C1raeNee2K1Zfu39vZX5WabEKuoBKzbcOl+4Pzr0xdC+0%20lZ8oHlKT1B7bfnQ2+BtAT59Eg3CfFR8aGjzksuSYchllZS84gpS54KI6fhUuisTRkw3xbfEzFYiW%20iPbfCZt73NyKFQgh7GrP3M14Wum5AUP8Vq5eDBMX/B9v5PymK7iRG0XRpDcWZ5rx7FLWFu+u/a3o%20taqvXVmHwkSq0nlfLMw3shNDFRFdVr0WpPw60qSwo/HoyV+rMdcnPk3JeOl/hai1SXt5i4sjnGTk%20LFhET+k3YWvca/215mKyyWZZiyYja5tq6QOwFemJXM7z/jmGcLUiR6j4BPpN+ZXyrDkz227ujxPF%20Zs8VtjT1evE+Rys6w/JchqiMpWAxvFlKSRe9XFk74q8c7iRgui2LounrRPVlaJQKDTHuj745PB5F%20eLwMNCm2V+lPy8g3YaJF/KEHdu/CpUpL5r5TmeR8nlvy87LlkxHPUjOSlpLSTbRCQjXab3qqhcTi%20XX5CZD7bRkqWFFm6gt5I02N696lCjdH/AG/GdH55AT6pZD0aR9zBSSEJIWAjcD+YJqxND3fVtEKB%20QKBQKDwmz4UJlT8p5LLSRdSlG1BUnufysktTHFsc5kFA7TNWNsdB/quUq/hSYOtBrguRyjwkcqyB%20mC9/25kkRR+BAX/bRVrg47H42KmPDZRHjtiyUJ0A/jRETnObYXFOCNvMvIr0agMeZxZPYfl/iaDW%20fKeU++OYycvDcdx0XFNM7V+vIK/uFNkXO3aoo72q0SrGwn7ziEOHNA4F5Q/UzKQVPvL7pV9YsT8K%20kfmtKSmHcvgkwXX8rzuQqFsPqMaJWr4WKO9NRW8HxD27YkSM8c9IiuvqQ7EiIJIQU6odttVqrrSg%20lM7zYN4l9mXPjZeEmy0laHRL9ROqFpNko8h1FIImVbxfvHOy/IMTHm4h5t7Hhf2zkpP6cgLTb1Dt%207otuNIJnRtIYnkWVbXLyGbRHgOJLikYo2TtA3bleqCfnSq1UbJ+3mAnyF80TDDrOP2NNuLVZcpoK%20sp9WoH0qJpWdHl05RgeBckjhnj+YOHxUcF8OxlHY+beYJvuOoFKqrXHsvh38WvD8ByT2LKmiubPn%20D/TsrB8yQbFV9KCOanNckhJiLyMDPy47Jj7ZSXkpYAUVWUUBHnv/AGUmPUpRFHDKbwzT0iI3h8m2%200XGZHHVbXnCF2AlmQVJ/9NKGrGy+RlYuFOalT5ebblJDsyHM2GUlwJASttTYSiwT8aUoVULkPIMc%20/BdQzMlThKcQiTMmlJXHO2wSjZbQChVXDyqRDkR5UeQqTNSoGS6s3Cw35UA/8NISiJdzLzuSfnuN%20oW4/uulVyBu7j5UmFYCiSST1OtBxQKDmgkYWDkTGvUYWlQb1k6Eeknspdx0PwoLrxLi+EjJYyMiU%20xKkJXu+zfCiw62fp22AVfdQotq8KY6cnkH23sLBnL2TDJ2rYYXoT6QZ3LtbxoqWw8D29zzK40fPq%20m5JpQh43DKSpKXWbb9+7amyt/irpSvRJnqtWGhe4mPi5tiXjcOxFadSxJlJLipbaSgENskKIuRVJ%20d+J8RiJzy2f+mU8cx+QQUMZLIE733FW87ZbUqyr3tuqC2YP2sx8Tmj8aRl5r7rTJf+5K0WuLbbXF%20tAaE1Sk5yIlT8Dj+cyGVyD1wuANhQq2hJKkpFk97Gk7E/kq+H9vufYnlcZOSzbc45VDjzEGUVFhl%20LNroXtAP5rCxpU2bIM7m0YoS7iYs9Me2yRB3BISPyoCyDdPTWrBMR6K1m+dY3isr9wm4mZj8bOV/%20roz2xSS5f/MbCCogkm6r1FYOE90MZnMgZSIMgyWnC3iI0kARkovYO6a3cFJ9U7Vk5JxfnPI8S82/%20ko2NcReRFGPKvXC+u1ZXuTfTtSfYr6o7hvAsmmCjKDkUt3LOaT3XlNl1p38yFabdKfBIiJ1YnKOU%20PYRaokblUvJZVOn2jOzy/FRKQLfI0hejXoz3PP31bmQzqmhkY9ngxoptndfaq4tv07UNN2NHY9YH%200G/t8ctX6i9TIfHckm420kTvGygc04yhKQhtE9AQ2OgG00I3bnznCpCJy81xl8Y/LK1ebN/QkfBx%20IBP8KDK4xzD9yfdxmSjKx+ajWD0ZzosWvvbIv5TQWWgUCgUCgUCgUCg017s8PycTJjkWHuG1DdPC%20jZGnjavn/K+P757o2fL+Z8Z9y7vt9NZa3zeYCpDU7JSDKSWvS2JAshJN7Dp3rjY82a7S2fmfP4uT%20lmfln5nk5DnzFMSnS3EbVp9uyTe3br4it7i8bBfd2xd3XdXV4nB4+W+LZum66usM+wACRolOgFfT%20W2xEUjZ9nZjtsjttilsMedb045KSoJktE269eteoh71o+n8Ordioir3uyi1/8Ir28MygUCgUCg+e%20f+4Lmk5nk+GxEdshMV9L6XgNdyjtIH4Vz+Vknuo+u8FxLJxXX1+adPZv3GOuPY+O64SVrbSVE9bk%20Vv2zWHyuW2IumIZNVjdHnmWWy46sIQnqpRsKDXfOnuFZs/b+iqXlkC0R6KPOlXzuKx5MUX7tzic7%20LgmtiqZDJe4eCx+Hxk6ZZmfKRFWpejwacJ1GltBWK+tlIieroYZx8mcmSbO2lkzSNqth43jGGxzj%20bjbRflGxVIf1JJ1uBqK2XDmJSa95CtDrqEgADTtp40NtnBVcagJCwAD2v/KaG24vTZcW7WP0j/x2%20oToqvugjKf8ASMx3H77IB9dodfTH1HTxFa/Ji7t+V1fC5cNvIj7saKZ7Bu5OXGddZDjeFZv6YV/9%20RWht8awcK26lejs/uXLg0ttj55/g26n673sSNvxUR41vy+Ro4ABAKvMfpcPy6XqwCrlAKzoVeb+W%203+6oU9XZRsvU+UHcoq8OmlDZwoBKVIX0V9S+/wAz8KGkBFvqFidV7e//AJVFguTdJJJGqkp6f4ar%20yqXuplpWL4bMdaADMhBZeWq/lCh1NvCtfkXTFmkOv4XFjv5FsZJpEaq57FchnTsS5i0j1IcW5Esf%20TuVqADWLh3zMUnZ0v3LxMOO+Lon57ujaB0WnTzA2QO9vzE1uw+X2cCxQUjoVEWTrpfXr/bQ6K3me%20dwsZzCBxhxgl2an9N78oFhpf8axXZYi6LXQw+PuyYLssTpb0WZxIbUodmjZHjrpr8KzQ58OCkXNx%20vvYrI627W+VSCjkHzbr+YaXT3FFmHCAUhOgO4k7j16daSlFQ90c5+3cRkR0tbzOQGm1J+hKgb3Jr%20W5eXtspTd2fB8H7+aJiadvRh+0GdlzuNtYxxlQVCG1UkAbfw/jTjZu+KUpRsfuDgRhy99fr6ei93%20IuQmxB2i31W+HxrZfPFvrSLbUiwT28fN8aEQ5BJU2Oht0/Nb/dRa1ddPSWBcpJsP5fj8beNE+Dsb%20BRKTbQBQTrbTQ6+FKlHACrbSL2BukdFg9x8aL8TojUktjSx737fMU0lHV51mM36r7qWG+q1rOoA6%20CgquS9xsc06pjENqyMkki6BdP4Wt0pCqbyTM5VuM7lMuv7GM55XhG+sp7br/ADrHkyRZFW3w+Nfy%20Lox23MDh/KeJZCcIOLZV9wE/5rmqlEdTqTWLDybck06t3yPg83Fs77tYXJSiFAKFr/T4fKtmji1h%20wFEXK7AA6H4UVUcxmslhnc9IgrW2pRut1AuQNDWryr6W6O7+3+NjzZ6ZOid4lM5d7i45D7U9WPxs%20cempxH1uK/EVr4+/NGs0h1ObbxeBfSLfuXz+UNj8f4Dx/DJ3IZ+4kn6pL3mUf46Vu2YbbdnA5nlM%202feaW+kLElKUiyQAPAaVlc2rmgUGFm5kWFiJkqU4GY7TSi46rokEWv8A20qPiRkgzEw5x2Q0b5CM%20qokrkneQAb6d/Cp1WqJk4Bh3HGVFdcaVNesXniNhULgJ07WFKFHv9ripfI4T8h2T91EbCURUBIcb%20WLWUO2vUUmZN2wPYkZR/3fZmy1kRTFeQy2frUQoDcvtpbtVJh9b0QoFAoMDLZ3EYhj18jKRGb7FZ%206/gKCsf9W8mzi/T41jvSiquBk5wKWiP5m9hJ+VxSg9oXt3HedTL5FKczEr6gh02aQr+gJ26fOgtj%20bUeM0ENpS00gWAFgABQVmd7iYZLxiYlK8vP1H20UXI+KiraLUNVHcyvuLyWdKbkxPt4kNz0XsXHJ%203kEbru7j4HsaT6Jol4GV4/hWyyzgZeCYvZ6Y8lKkE9wVFTitaV191rVG5jn/AA3H8kgZZzLtoYTE%20diy3XNwCG1rCisWF7i1I91+LhXuvCkuGPgg39qsEoyk0XTt/mTtv+FxSqbRR4Li+2M992Zm1q5Jm%203UhDSttlDcLbGQnYn/1U9yYRquaNcFlNsM8OyUyKpt1cZS0Nl9qwuUqAVt2ntSfYlKYrMZ/ljTeY%20/aZL8VXTGPIbEdJ8LpsvcO9NjXqxeYcr5YxMhCDxYuS8chW9bSQWWmlp2lLpveygLC1JoTNFfybO%20fbxbmXyTbnD4rzZcdk40lUV5t0WSiT6pWoH+XYOtPcmOtGLx3IcE5FimYMvJzk4GC16U37oBLbqg%20LWb2i9gddasakzSKq+iRxRnCz8dwnIKaMWVtkyHAfTEVBBHp6E7utSNlmfV5ZvPsZn1GMJyllfFZ%20Tnp5FqUn01KcSAo6oQPLoKqbKjzT3KiQWU4/i+U2IesqeAlISl36T6RAvt2+NeU/iwMjIliMuJho%20InxMkkOZCSpRsty1rN+YdhV+CzGisf8A3CyEZL0Np55cRpwOwkuhJWhaU7dqiPy9aLVTnXVuOLWo%206rUVK+ZN6I6UCgUHo2w84FKQgqCBdRHYUE5H4vmmI7EqVjVmNM2iO6rpZfRWh+NIp1E5F4SI60us%20IdXNYXtkQ3ki7bd7F87fy2uU03IbPwnGYM6PJnwZuNlYRDLceW5M9RLqw2q6iNgA760gh44nB4HP%20ZB6HxyZipc9uSWMTCbLwbDAA/UWSB5bE2oV6L5C4TyDhcx5LLuKjSmh6jkNxbim5UdXlTsCtxvvN%20JhKTRPcX4vPfZew3MGI2CkZFZW6uKABJJ0GxSrkH+FKzSqzR68V9ouIQZ+fs9IipxUxKG5e+5CS0%20FlSt1wdT4U2GVkILmWZehcZmTs0o+Rch4IERv4EgJXf5UjQ0or2D9suYM544/LckMt5DKnxFUf8A%20SOoBH6S1ABzbrY2p1GyWJPMYEduIjDwJUcJ2oMAuFKB4ErINSJiNiil8+9zcHiWYaZONntTYE1h1%205iyCrbu3LCCCdDVroeiWx/PhyRK3YU1HGsetW/1XwoTFFRvYJspu1CVlhcTxiUuuONHKSpzLgXkZ%20BSp1YWk22pB2218KLRh8dRAk8eIyMePbHOuwpDjvl9NlnyovttSXmk/ipee5J7cwkvDjMeSqYwnc%20qfAO5pSv5VF1Xb4CnxWZlq+BH5VPm5FUrPyo8SaBP/bmiA2r1VW/UuN19O1WizOqWagZCM0oIyim%20mUDctw2P43IveolUQ7AzOR5BBcfybogpRujaJCnDc/Vp9NJE0YubVc/vLiL9rJ0A/CmhMsvh72Sc%2053x5JW3Kx6Mg2BON/WW5tOnZNqpD6jqDUHK+dCL788b4+hY9ByG8mQkfV6y1p9O/4UKNv0CgUCgU%20CgUCgUGtPcx3PZFx7CMxS5BcaK9wuNygfpNq4flbs910WY4+Wd5fN+Zycmbox47a2z6dWmEQs6/C%20kRWGRGWwdu+QkDb8NQa4HZbiyRN+j5nHhjDk7sk09nvj0xiyhqO9d3abqUe4Nj/bW5wOdOK+e62O%203eZdDw/k5wZJi62O2d5ZLnpMOJTIX6SFDyuHoVfCupm8zji2uP5p9Hd5P7iw22xOP5/VjTFJWhtT%20ZPph5FlHQmt/iZr8lvddHa6fB5N+bH33Wza+muPKKsLCVcf5KLW6fSK3GzCRopQdXUeo2pF9u4EX%20HXWiw1Zl2eccIyi5+PW5mcFIXvlNLF1si9ztA7VqXRfjnuj5ofQYcnG5VkWZKY742n1+K88c5ngO%20QQhKgyUns42ogKSodQRWfHltu2cvl+Py8e6l8fj6vnH/ALgXBL9x4amB63pIbPl6WSu/aufy5+Z9%20f+3sUzx56a/q+hePctxL3GY8910MNoQErSs2NwPCt/Dki62sPkPIca7Dmmyd2BK53KmrUxgIa5RA%20uJBB9Ma21I7VlaUwxlcazGTX6vIMgSk/TFYPk+ROhoapmFAx8BgogxkMNgea/mXu+ZuaQnvKke7V%20/vuKBd1g5Nkj+3U/Ctbkb2/F2/EfTl//AK5X5SlAEptcbemvb83gK2XFNvmKQNNptqe/8tKlHAOi%20RfQaIX2v3SaFXIFiVdEi9weqT4ihT8nGxK0KbcspC0kODqlSSO96VI6MTGYvGYuE5Ex7SWIxWXdg%20086zqf8AdUh7yZO+azLMvt0JICh5tw6E/wC+q8Q4BQB5vpB2gDoCO5NKDsL+oAqxO2yyP7qDqm1k%20lIAuLIudCPChoaAnaNUiwA1JR+PxobCvp3Ebb+dTg1APTShT1dipJUQo7dpCgTppbrSCsMbIQYk/%20HPQJjaXYj6S2+nrYK761Jiq2XzbNY3hh8a4zheNYwYnEshqMCVqve6go3Jv8L15ssi2NGXk8i7Nd%203XbpMEC6iNo6EjXd4AV7YdnKgraCoHak3CR8fH5UqNe+4uxPuDxgqsFqWLGwv1T3rV5ET32zDt+L%20j/b5q7NiyAS+sEBKlKJJGpIT0Aralw42Y6JkRx5TCHkrlIG70r2UkHtapVk+3MWxdO0vW19qRoUJ%20ulXcf4hVY3F03F7BJG4kHTcf9lFjTVGcowDPIcDJw8myfXTtQ6OqV36ivN9kXRSWbj5rsV8Xx0Yf%20A+GReH4JvEMul6Sf86V1Kvie1eceOLIZufzJ5GTunbonwbAgW2g7Q33v1/jWRpxpLtY7gL+dSbbv%20zfw6UKOAB+mE2IGt+38fGh8HAsoWI3G+wg6HafgKVKOzaVkpGot+YjWw7GhGzAyeaw+LY9afJQ0l%20BJ9JJuSe3WhEKpK5/kJhLWBhK9K5IlOiyLnvfWkmyJcxE/ILL2cnLlOE3LCDZsDwuLUVIMRo0dAR%20HaS0gdABr/HrR5ow89io+YxMnGu2PrJ79iPpP8a832d1tJbPE5E4ckXx0a7g+3+e4vAcyUJYkT2V%20KOxGpLduornxxLrI7onV9Zk8/h5V9uK+2ftz6+rD4zz/AJPLz8dLshLkBZ2vIXYbD8dK8Y+Tf3R3%20To3fIft/j/2912KPmjb3bfCgXAElKkkBQI1rqvz74sjgcdiTybMR5TSXG3E2UhQuCLjxpMRL1bdN%20s1jRe4qeO4JkRI3pRG1K8rSTa5PwrxW23TZl7MmWZnWUsCCAR0Ne2AoFAoKt7opQr2+zoWdqDGVc%20jr1FIHxgwMXNRj4hlPOMNxlJebsL7PUJ2n+q9eYWWVMwC8lkGd813H42E36iGCEgoKTbUeJqyUe4%20byMvItR4rKftYaDuWj6n0E3IUT40qbar77LZH7n3YgxRFLH28J/e5/y77k2Sk96SUfVVVCgh87y3%20BYQbZ0lKX1C7cZOri/gkUEAcpzjkNk4yL+zY9XWVJBEjaehQnzJoM/E+32GiPpmzivJ5IG/3kg63%20P9AOz+ymvUWN12NFYU44pLLDYupRsEgUFQyXuDJlNPt8Sx6sxIaGkmxEXcPylYO7+ygpcFfuHyQL%20yGdYYnQEr9JzAwlr2tvp1IcV5V7Qk+NIFlj8jgwWRFdws/EMs6OyPSR6DZHf1CSu1T4pTSisu+6v%20triub5Bh/MtMsT4nrSzuN1ywoIShGnXYK9RPVVphSuU8jitPYkpxWDWbokLAVLdHilCgpFqlYiFn%202Q/KOFYCLj2c1KimZOx0hMh+RKSErdYRfe3sR5PMfhSkRsnvCUTwLhkZtcrHwBhkLQl5c5olW31E%207zcOFSba+FNaiFXJzbqhF4blJWRUkkJfUwwIqTfW6wkL60EbwHMe5U3IzXcojGqyLzi2IypSnAHE%20xyULDYSP40kdeSH3Rx2SlRsIjGsoca9bLRY63ShtG0m/mFwXBelCrCTyjMYfi+3No/6agvJ/RXj/%20ANYyvuBtG4v7ju17U9iFUg8rlx5CWs7yaVLTEA/asIw20tBa6IMjcL70jVVqalOjBTnuYyp0pK86%20HsWp37lfHoLbReeS4bb7KSnQddDQhjcm5tkcZLTkm823DwoJhv4pxtpMlz0hvF0hNup8aFaNQcp5%205yDKtvrdQhmFOcLrSEJCbE6X0HgKIr37hBfhpjPsekWk3bda1UpX9W49KQrEdnTHVAreWSNBrb+w%20UGPQKBQchJUQALk6AUErjsK446Eyo8gBVtnppBH/ABX7UGy8BCw+OnR21stPTGkbkRPMXWkrHmct%200OmutXbYS/GMfiVoy+Vx8g5R5LxD8HI3QkI3nzRw33tU3KwuHDmuTnMIyzC8bC489tju42QpYdcC%20T5C5cEgXPY0JnotELBZNYyb2Shwzx1vJPGUIRUUqIsSkXt5fChu9MLyr2ui5XJYaHjWw1JQJEaEp%20OxwKUbEFSTcI08aFKvbO+0mGn4xHL5LaBJx6guLFgOuuNqYJAAJcN9wKr2pOgneT8Z448zHgSsvL%20nSpiUrgwUbSoHoFXFiAPnSkkREoDjftjn0cgzSMlyZ6VKjvpfaxT+1Md5IbSA64pI32T9NKUg+C+%20iRzSKwlpeKx85oaJRBW55f8AFfbT4ExEqPy73e41huR4t+Xj5wkQQYsxCUAsoQ6QpR3XuVC2lI9i%20PdNw+VtckDi15dnj2JX9MdBP3LiVdPUCwUi48DV+CUiI0WB3i+JPHpzeNgMrBjuLiSyStS3gnyue%20YnvrXmJWI/JzGfwsrjcHI5NEYR4zIYkPyfIEuNpCXfo8SNKp8NmtOTct4kyy45w+A5GlBwIRmitZ%20b3KNglsFSgQo/ClRQMLA5LJTNcy+dXIUqStxcBZCY9yq5KlJAVelaHVkx58p6UUZhhMbFMuenBXF%20uWXFA2SXFHzW8KSrNCjGzeRdlEBoRW97nzWbBNvjSiU0cJakzSHJYS3CGrUVN96z4u+H4UK+jtJW%20Dn4Ktw2ts+e+iU6mkFIo6et+5IIjKKcck2kvDq7/APpt/ChCa44Ef9ZcYQlIQyjIN+m2NAnymhEP%20peg+f+Re02enf9w8DkzWTaDSAiYmOoncG4+1JbsB+alDV9AUCgUCgUCgUCgUHBQgm5SCfEig+b/+%204aRLh8qjhh30ELjlSUNgAKO63mtWtl4uO6JmlZaubg4cs1vtrNKK21HfRFYVDYTHcUUrdWVElWmv%20WuHd4jJMzE3VtfOXft7NdGsx2z09mU5CYd9P1ruLb1Sok9evSuri4GKyIimzvYfE8fHbFsW/T1cz%20T+ki2n6iLVuQ6UzV9LcYJOBhE9fST/dWWZeKpSoOjyy20tYG4pBVt8ba0WIrKrcX9x8Jn8hMx6N0%20aZDWW1NPeQqINvLfrWHHntumY6ujyvF5MNkX6Tbd6LWpKVJIUAUnqDqKzOa0V7w4BEPMRp/FnUx5%20ssqTPZaUQnakX3bRoCa0uTx5nW19R4by1lls2Z/mt/lagkRshn+SIYElcdbIS24Vi5A3WIF+prnx%20pdSX183xGP7mLR9I8f8Ab3CYzHxmXVOTvTQFJS4SmyviAa7eO2LY0fl/Jy3Zck3XbrQ2A2PTabQ0%20Anb5AE6+GleoYIhwB0CfKq1kG9yE+NjQop3uvybJcb4j9/jCht8OBP6ptofnesPIumLaw6fiOPZl%20zdt8Vto1z7i8yyzr2CelobZEV1mYu6vqCU3J+WtaWbkXTTTZ9P4vxOKl81+uJto3Px/M/veDjZFT%20Za9cDbpbppu+Vb+O+borR8fzePGHLNkTWnokDYkkdFJIJPQkfHtWRq0DoAD5Skjarsb9qFSyADu0%20SDdSL637fxoaFgVeZOqtSDobDoAKEw5uq4Cvq67baKHgPlRaxVxuUATe6Bra3m17EfCiSAnQ3CvK%20CrbqVX+FCriybKAupI0Wnv8AMUJ93N7XP1LSLAjqR42oaOFABBTayE6gjoU+BNIKOVqABUVBNhZa%20j9KE0J1eMadCmJWuK+h5CFbXVAggCpbdXWJZcmK/H9UUewv5OpCgRe2vwJHhVmNGKrgkG1r7Sfza%20AAddfjVKy5UTqlSdqe9u47balA27gbp26XUbm4t9NCjVvuNyLDJ57x5apCVfbLAeIsSk3T18K0s+%20W3vjXZ9P4ngZZ4+TSfmjT3bTYktSFCQwdzDiroWNblVbsTV8zNk2zMXRSYa+wq0//ebMFSiAIjSS%20CdL3V0Fa1uuWaejr5Z//AM+2P++WwSm3lsVpHQjqPh8bVs1cfaHFzYjdp9NwBYEa3NOo46gJJ+rz%20AdAR/LehpVyNpCyqyUq+oE62pMBfdtCgbqF7W1B8TQq4SAsaWO8XVrqbafwpU0dgCEeofKE6blab%20U9zanQQOY5tx/GBbanxKeV0Ya8yv7Naq9dVZl8p5bmAEQ2v2uIQblz67dtFCoUhiRuPQm1F2Spc1%209WqnHSbX/wAN7URJBaUoAQAEDyhKBYf2UoONAtRsb21PY/KgBPl8t03N7mldRwVApJvs1tuNIHZV%20ykgC99CD0setBXcxwXBZFpSWWftHgq/qo0ua18nGsuh1uH5vkYL+6vd7Isu5rh7V5RM7BJUElQ1c%20QP5j3/trHFt+LXe1vX34PITr8medvSUvx3kCstnZCOMT2mXZ6dFOKF0g26XvrpWScvfbEWzrLVx+%20P/tsk/3Fkzbb6dV+w3tfAiTkZXKzXZ0tI3H1FFLYX4gA1MfFtt1nWV5Pmsl9s2Y4iyxYGuX4BzLD%20EMyUuS+m1FiB8L1mjJbWnVoXcHLGP7kxS1NV7aZQKCte5QJ4JmQBf9Dp/wAQoPkERGXM/KybO2HH%20jMEsOIsQqyhq4DoNakQtXmhUmIX8xn2w61LPrJZaJO0JG0eHXranQdsdMEpC1TJAgpkK3lKdHCBo%20lKwfpBHhShG7Yfs6uOfc/GNRXG1oTDfJQ2bnRSdVUrBdHo2j7qe/XGuFNrgRP/leRq0ZxjHmKVdi%205bUCqKx7Rcm92ufRJ6OQB3CREOBTUgNgKcbcJPpo3DokaXpqkS21guE4HDkuMs+tKX/myXiVqUf+%20IkD8KCRymaxOIYD2RktxWjcJU4doNuwoKtL5tmMq061xTHl1XpqKMhMBbi7reXatO65v8KLRR8Dj%20ud5aM7k+Soazq2XSyvGsuLSGnUfVojbcfOiLZ/1SxjmW/wBzxE7FtMAeo40ykRm0eKl3BtSpoqmH%2090uCNZPMRYeTTOjSpBkQUQ1bkKJsLFWhvpTbYpC2R08p5FG9T12sZhVjVESz7zn9Kw6LDTwNNFlG%20Z3iPGce7x+YjDsoKcgliQ46kElooUSpd7/mqb1RJZbjPDYji5skDCur1YmF5wbVdihsq2f2VaT+C%20bqhyBrmkrA5Brh+SdcxoZW5LyOSQhDLgT2YUAq9VaVRPHGPcp1yIOYrgy2fInDuOvONR1qI0BUgC%206r9BXmdk0/Fbsp7i5rj7ay5jYWWcjpJXj8ItTr6Up6qUkhHlHerWiqw7yjO4ziEQT8U3CTLefnxH%203VKC296/VSfmnd5hVqTqpmE9zvcCI7OyhyScqJSgl1mIhDqwhJIRu3JHUGoqryObZuYqXk5ch31X%203vRZxcpCQySFWux1JWm+opV5ernL+MyMcrGTchOw+ZjFZEluOyr1XCLendfe/UU+CqRyXmCZ6YsT%20JuSGpmPaR6OQUlLMg2P0bUWSU/E0koqXIuSSsutKFk+g0oqRf6iTpuV8TQRr0v1Y7TPphPpfmBJJ%20oMegUCg9o8V+SpSWUFakJK1AfyjrQW3Araf2LRj2tztm1EFRBI8u1y/07vhSI0FixUNuTKjwo8eM%20yhl28VU4lv1Ht19jNgd6d2mtBf8AE8PnIenQ28FPicgeCVOPFkFhppQJU42VE301TpSpV6vcnRi4%20MbDfvqpGajvFsyoMZh5SWVKAWHypIstKeoqQLLn+Pe6EiFjn8LkosbHSHG0sqfbabdkFKhtWoJR+%20NWgmeQYGeIyY3unIEhOio72MSBuAOqbAN66UEfwWTwQ/f4nBoVDkiStbU6c44Gmo67BIsSpKnfEE%20UJiNpXbI8Q47gBhJseMh5r7xS58iwK5Jcb2gg9k31sKdCj35HxGHKlv4zjKftMq8LTn0OKUw20ey%20gokBV/AUKorCxJHBsd+3xOQQM2WL+s5kVhEhJvfajYk/30jQifREOe7kJHKVSWsNJfkSY5jzY7KS%20pHqFQIUVE3CbCkV3g3WONlYedSW8xyRmHDWNysSwoBsAfkLtkufPWhNUnmsXhxwya/jGY5hQR93H%20ebs8HFND6Stdyb0KerMy+U4vEx8GTyFyHEbeaaW0y5tSu5QDpYU9SkVq1Py3lOFmTFwOHYt+FNkH%20YMutbn6e7TelsqUjb36VfYrVTMJickmNIfmZhU96M6v7j11bGVlKtdE6f2VCUjDkZRx9qdPx2+O0%20d0ZMe5bSj+e2l9NdaQUiUbByTc12W21FluwHJTq3320ApWrddKL38fqpUrRMOysl6KlOQmIsJKdq%202ZKlJ3DsE9dTSE9kDhcRmk5qbIXPVFSGUORYNgtKEKVYJUV3OlIWuqdUxyApLi8yUJR/mL2N2A8T%20pQrqhnomcyXIYCnMopMFtrc0dqAp5Vz9Wn00kTikciWoJSISgOiispJt3KUiwNCsMnh8nLSOeceD%20yIxhoyCLS461KKlhJ8guLWpSg+o6ClKUFe6zNh9GPdCj8SpNIKrrQKBQKBQKBQKBQKD5t/7lFH9/%20i7VBa0taJ7pG7oa8zMEaomMQYzNgQnYDr30qS9Ul6VB4T03jFVrlCgbjtarbNFq+k+ILK+NwFG1y%20ynob9q9vCYoOrjiG0FS1BKR1J6UGsOetcRyqv/jm1qzzRP270IEEOf17CL69b1iyYLb+mrocLyGT%20BOmts7xOr1wmI9wJuIYiZzICOlH+YtqylqHgehr3jt7YpWrW5OW3JfN1tvbCw4njmGx7wLbPqPq0%20U86S4VeIAVe1eoa92rUWE4M3lvebLy0kMwMe8pamem836AVoW4YuyTPu+t5HkZxcCyzrdDdjiioB%20QRtAOgH1BPS9q33ycesuAACCmw7IN7hQ/wB9CjhPlACQSoGyU+HwJ8KfA2UX3txj832+lqjKCftF%20BZCgCFfImsHJitjreDyRZyYif5tHlK9t8NzLjPHHpZ/UhNo32NvUb6qSSPjU+zF9sPV3Ov4+W+LZ%203lfI8dmJERDioDUdhIS2kG42pFrE9q2IjRyL7pmavSxKlJ/KQCPgQPy+NEioCVAXFyvRWvl00v8A%20A0DQqv8Ay3BJ6p8DbvQ3Du6mxcIt1+oeI+NDoAi6SDZO2wPU3A/sNCNQG+0dwPKs9z3ChQgSARr5%20QrQp6ajXynuKHxcXBSBe+/zH+r4A0N3JPmVpuUg3QOht/upToQEJ6flve/8AKrwIoVdJJJxs3dpd%20tV7DTp2Peklu8V9WqP8At2L68Tn96ty0zSEpUoqtofHtWnw9p+L6T9y/Vj/8G2wbm3VKToSbebwH%20jW4+bnfVwCQhJJuAfMhWhuTQ1NpSb6pA0T31V3/ChR2SsJcDhvYkAgj6iO9qpRpz3D9sc/k+cRJW%20LQDjX1hUxwj6SCCLGtDNxq3Vh9V43z04cE2XTrETRt+HHREjx4ib2ZQ2iyRcXToVfjW7bHbERD5j%20Lkm6ZunqoGGWz/8AevMIUpKl/ateW9j1VWvb/qz8HVvif7C3/wApbBUnVeoUpWg1t01t+FbLjl0m%206ugUACrpqOxHah7nm32+kqHUebae9BwdblIAJ0v1O3xtSSmriW/HioLsl1LTSBuDijYj4VepM6qp%20kvcXHI3R8O0udKOgcQm6AfG47VKrKClOcoy6yrIyxEYPWOyb7h4FWhFEd4WJx0IXZZG63mWvzn53%20VQZhUdd1wkdz0okOo3hIsdxJ69NKVVz5vNYC35fiabgCvy3At+b4UHUnopQ1BsANdDQdjckCwKe9%206RI47lSNVdLX0pHuObK3E30ton40HhPgoyGNfhPeVL6Ck9wDUuisTD3jvmy+Lo6S0lh+M5/j3K2n%20Uwn5CYjxUhDG7ctI6WCe1cj7F9l0XUfo/wD+z43JxTZN0RMx16N04N7Oc+f3zMynFpT5HMQ2R6wb%20HXcNFA1sW92WdZpTo4vIjDwI+Sz7n/f0q2Rx/huCwSbw2AX1fXIX5lk+Nze1bePDbbs+c5fkMuf6%20p09OicrK0igUFW90UrX7fZxKDZRjEJPx3CrCw+O350mJLw2IcYDbyISvv1ukpbWS6T18LWryk1Sc%20puH9hNWqU3KlraO26tE6jRKRpUot2j3Er1Y7caLHRLcU2Lu2AZSO4U4Nd1Wkros/s9gMk1zmfLwy%200HKtRj6rTp2tuJIHkChfaO1xSEpRu/hv/REiY6yrFN4/kNyZMWWgKfKvzKbLm5RR4GrKU6rPmOQ4%20HAMpMx5tgq0aYTYLWfBCdLmkCqZflPP8ljZj/GsW3EShpaoy8iVNPLUlJPkbsoEUJa443i/dFSkZ%20vkMs5db5UXHoTaZH26v/AKQaICLp6G9KLKdV7hxo6SwObtoyIV6aMKGI6ZW+9gn0gNNetEmrxiQ/%20d6HyIZvJ5FuDiMolEZ5aEIuyEklLi0lIAUu9r1Uros+WwGOYcTGlvP8AIcs+f9HEdJbQgHq64Gz9%20FulxapEr0o8G/bzjLERtiJGZTlY7plpkpSlLZfI2qRcC23b0pXqQyYeA4vmULcRBejZSMr0pkdt9%201JZcGt9gVYikpM0VbncPkIw0qLxjNuZJCTfJvuIQWmG+lkrF/wBQG2nhVqsR+brgcLzDDZK/IpDO%20byUjYmLKyCvRjKBSCn09oKSodOlT2K0T/Js5zSPj5OJcxmPelymFpZx0J5SnSk9w3tTSkVGv5/Ke%20Zv8AC3GeQYy2OSy4hvG40F95Gw29RaiErbCe5B0pWhM0lVsBl+CZbj82HCiSMU80ypMpTDrj0pay%20PKlQWq4CvnSI00GBhslExmNkp4nllTFqZcEiRl1f+3CE/qoCFFxIpSKFIR+Z5DNXhy7lnGVlLAS9%20IjhLTJStNmCFNhOtBRJ/MGWMZEix3Hor8dW9TRbS4hwG3nDi/N5vhQVTN5qVlJn3DqzpqkWAt/D+%20+gj1uOLVuWoqV4qNz/bQdaBQKCZx3F8hMjiZomElJceev9CAbFSqDOxHEnMo3Giwk/dzJjlm1sXW%20EHUBpY7KV9QoQsI4bFZlR8dyUTsU60r0W3IrAX6iFG6iq5TqDpahC+McOweJy2MajYfJS4yWVvxp%20yGT6aloIs65Y22o/NSYNEy5h/b5nORchmuSLyT01h5DzKWW2/tnTYNNhKLW3ePWnxI6rPiOLYXGR%200z18mXOfF1jCKdO1xsapT6wPqbgntSJIqkH/AHS9rombw64sJLb7Dclufi0MoW+VuoCUbr+Yjdfz%20GrI7uYvB5t5U8/uLbZCVMQsYgyEMq8VblDafhUIhhS8hyvDk488PVPam3+1ml152YtI1WtbCrpR5%20fA0pXcmVu423kMni0QMXi8SWGkj1GVvFMtsnS7yAm4UPAmlSKK/yf2x5S5kIOHx3LX4v7ioqlxw2%20hwNtgFQc81ygEi2lKkx+Sc47w7j+NCcHnXpE/KFV2pLji2EydPqSpChu+VFiqyvQcbjC1Ex2Hbcy%207mkVpZLmxP8A9V4quQn41EYGfwIxeLYy6GfVycKYiRMmFCUBaQkglSR5dgvaqRH5s3k2d4fi2x+8%20lh8KCXWoUdtBfUSm/wBIsba+NK12Iao5FlV5kvLx2K/Z4xBKXvXd9UoHjHJ9OlUmaK3jGnEwIyWQ%20qXlHQ6FyH1FwMpCrbilW5KbDpSVp6JbHRBGU2hncouLBceI1UoHUjwFJ9ydUA0+zsk491Wxtcla5%20Sx9W0LJCEj+vpShHxSrUeVJfZMomHCQUpjREElS2wbJ9S+qdKalNGLjHo8JnIGykMpmOhllHVaiq%201gKVGS2xJfe9fIgDZ5o8VJKki/dZP5vhRavNuQhGayT76wlsRGvUcOgHnNKI5B/cfMoFvGo1ab6K%20eV/MrwTSiu75WvkOPCADsZ+kaJFievhRKOi1HIK9Fm6IaVWkSh1V/Qjx+dCqZ43ZPMOLtNpCW05B%20sJT0sNpoPpegpcZW/wBzn9w1ailKD8FbSaUF0oFAoFAoFAoFAoFB81f9yUVqNn47jZK1SUb3bn6b%20G2leJxxSadUsxxFfdE47/wD17AJA8gI1vVuZZj1e+p6m58bWrykzVj5FZTBdUNCEnp3pEVNH0fwZ%20wucUxqj3ZT0+VZHhO0FF95XHm+FSS06plZKU+ohRSoAntag1/wAB9xmcKxGxeajJDRSPSygSL2I/%205i7dfmaEw20y8zLjpfivB1h3zeqk3AHWhOrsqQxHHruqDbSFb1k66HvftRYsmZpG7WPAM7iVe4nJ%20iH/LKfV9tfoTcHQ1p4ctvfPu+l8j4/NbxMczbtGrZ/mF1EaK0cSNSD8K3JfM6wWJUQNFA7QToAPE%20ClSQBJG0Dyk7QrdqR40Gv/efOuw+MPYhLQW5OQUtuKVsG6/QfGtPl5JtinSX0f7e4EZcsZJn6OiB%20PN56/a6EqCfQlxHkMOvjROoP0+NeLc0zj00ltZfHW4+bMTS626KtsQFKXjoiyrc44yhSiRYKJSCQ%20fnW9btFXymSPmmPeXrcFJN7AdB+ZKvD43qvMzUv1HRZA66DXuKFXYgXO7zCwAUnqT8aUKuEm11Ea%206pUe6fAgUPc8wSRYX6oT4/1A0JqXUTdKvNYE3FrX7/jSiOdqrK22vfy/mt4/KiuPL9KQRuG5IOmv%20e1ImSJg3AjfbVOiE31Pz/wB1CNQgJFgLhJskX6nxUaDt6SV72nfpWggnonaadDupNWsPaIYzE/8A%20VjRcTHgszgdy1dAUXPmNanHmLe70q+h8vbky/Z0mbps/xXOFzTjE+YmJHlJLyjsY6WVfwrNbntml%20J3c/N4rkYre+63RNLSRvR+XxPW/gPGsrnVcGxN73FhZN/qI/utQo7a77HUbSQO4+XjQcbyGz5j57%20WAPW3w7fGhoOJW4lbSVbXFJHp/4vn3osTSdXz0zEzzfu47C/V/c5S/1HkAlIZQSoeb5XrlfbyRfT%20q+//AL/jzwq9sUpT8X0KE7EoRuCggWKh1UodflXViOj4CZrdWHIStVxpuXqs9gP9tITWjAyecwuL%20ZUqdIQ0OiUhQKyB8KEQqc3n+Tnn0sJBIBFjIduhNvFJI1oaIk4eXMc9XMTXJh6+iCUIB/A60K1SD%20LDEZsNxm0NkDQJAST8yKD0KrWuOumlBCcxk5SPgpEnFnbKjfqG4uCkDUa1izVi2sbuh4uzHdntty%20RWyVE4HzvkGUzqGclIQmGpJTsUAPN2rR43KuuvpL6jzPhePiw92O35m1ilSVJCiEnXyeI7Gum+Gi%20XG1drbtb3vbt4U0U1O5QN09AAL2NEmQ3TYlVgNFfE0hQApNgNCbqJPSmg6PyGI6FOSFpZYH1OKNh%20c1Ltnq22bppGssVvNYJx1thqc0t46toCwSr+3WvH3rfVnv4Wa2K3WTEfBnJAJC9bkWsf91ZGs9OJ%20JSvnBK9VBvy9x16UoRpCc5Z7YQshOObwrpxmfQPJIb0QrvZSAQKwZMETNY0udbh+Vvx2/bv+bF1h%20Y+MJz6MS03nShc9Gi3G7WV8dKyY4up827S5c4pvmcelvolq9tYoFBWfcxSE8DzSlnahMckn5KFB8%20mYwepPcyqrE5KIpwlwBadgXtuN309O1eVqxspDYmYud6LAjwktFSpQUfUWoHokeFVdpZMTC4+NAb%20EZxcBkICnVhRWDp1O46UhGx/+3My186yi3FFcYMWjrUAlRFhckVYT4tg+/sPKJ4uxO440lPJhLZa%20hygdqkhZN9R9XQaGiwrvBIWZlth+RyLdnHLIdXkI7Vlup0UmOle4HarQ2pTRNa+y6SmObw47sqTy%20ZttmP9ZXGZBJ7IT4k9AKFJpqqkHj/uGlT0+fMW5xuStTsvFRUBEkoUbhxKUWUFL7i9E92Y3x/gUn%20mmKdiQGNn2q/uC6AH2gGyR6xN1JV8SaStGPyCKyuNJi8KkvyHg0VuJWVPwN4BJvIWVWOmgtUjTcr%20M/BWPbLMe4SiuXybK/t84pEVmT6DbjKIyDdHqLV9I3aXqx6Fazps2i3jedrQHW+RsqZUn1EvJjs7%20Cn+YG1PwJmI16KPm8f7i5GbKmYbkKIcZKPQkzZDLUduSUncQ2ofVp+YUieqodHI4eexSuKQ+Ut46%20Q8kma2200SwQbEqVoV3t+anRIeEHKYzNQWMArlZjekr0JUuUlCUG1/8A2a1H9RZ+FqJO1UAvP8a4%20/NnLLp5FJ9VMY5J2U5HU0pSfKVbCdosKfFaqsxmOFYye6paMnFyCV7489xx5TBSvzLStKlbNl+56%20ihohchnWZrUPfHYgzIkhTiMx6pZ3Ar3JOwWS6LeNDdVub5SS4pGQ9VtUifvQ6pghCSlo7bltNk+e%2096UKK4jkWXTvHr7kLShCm1AKRtb0SNp00oMOXMkS3vWfVuXYC9gBYdAAKDwoFAoMmCy8t31G2vVS%2015lp+F7UFhgcLn5bIBUYtqYUsB1IVZST/KQO9KLRsnjvD8HDXLM1tWIyuOcAbbfcUWQNoO3as7Xb%203vZQoiWlYhuScdFbhy5j277lqXio9kpbSSCtRa29DSSdV2gL53GzzMgScTKS1CcdMZC25L62WyAT%20sUk2WOlqtZ2I1mrwhYnDYyevk+QfyMSY8q8PHSErRHU2f81GqrJStXgKhH5ppjn/ALSZTN479CKG%20BGlMz4jSELKnlEBAQrRRV1t4U0KsjL473GgNxV4WLDicWlOBtCZLbf3DKXDZKlKUkqAPjek7rFU2%20MLhYcUM5Piaw4ghacrAbMlxbvVLgNhcFWtr2pEJa9ofuLjMVKaxecdDTL67oynpIjqbudESG02Si%203TWhMTLLx3J8SvNZPNLyCX0qtCxqYxDyyGCSpbaL670mmxOsPHMszc6r7nG4FcGQhJW1lHlLiKAS%20NxU42nyqJ/qoUiVZxCPeUZB7kjUpmZEktCMyhCELdS2hW7cE2psJfMNx87x+S7muTLaeiICjGVHa%20YkMquAPpIUNaaiHZcw2Bx6Zszk0idyCYLy2IiQ+u/QD6roTYDpQoofMMpzPOQcnEOeeaxTTf+php%20QAQbiwWu+4Kt+WrWk1Ho3hI6i26zMeadW2kELBfIskDRSzeoMeTEcWp+NByb703YbvFALTY7kqva%20/wAKHc8ePcdRFwUdLeUeKlqdU8ooFyree9+lIkZz2P8At3Wk/uT65LpAZYDYvuPRR10T40qVRPGu%20MIZcnTnsi6vJOvLQ+5sCkWCiAAkmwt402Nkyv92ipSoZUpRutHQplCluKvoBfX503Ir0RPHoPIvU%20nzZGQSJXrr/R9NCko3K6i/5vGhMJdX7822p57LpQ0g+ZSmWxfwA+JoV9kRAi8ilZ+bNkTkthuO2W%20I6mkedsqO0rSe/woVTPp8iUCTlG220DcpXothKU+HwoRKHfTnMlmIaS0yqMhH6bnqloyBr5lbR5R%208qSeyXSnkASG0RYaG0DyJS+bf3UKwlfbtE7J+5GKhyWm2Y8H/XIlsL9VLjqDtDWtgBY9aD6ZoKXi%20bOe4+XVY3aaQm/8AiQk0F0oFAoFAoFAoFAoFB8/f9xMKLMzEb7mR9mlmOSlzZv3+boE6XrS5nJvs%20pbZFbp/43c7m8vJjmLcdtZVbETCvFttJbAaRazik2UoVzeJxc92TvyXTFvo5vj+Fyrss5Mt8xH+V%2079fme1dt9KxcmCcdJA6ltVv4UjcfRfAFBHDcaVaBLCSfwFZHlOR5sSSCY7yHbaHYoGx+NqkTEvd1%20l1u8UUr3lbec4Y+lpG470ki1+h8atfV406tPRWI5gs/uX6MdSAAhYuFED49LVyOZ5OMc9uOO6fVw%20vI+ZjFWMcd0x6M3GcgyPFpSHsO+Z+NcAUqEpW4C/UpVrb5V74HkLs2l1tHvxflbuR8t1sxPr0bTw%20fKMDy7FuMMuJakOo2Px16LSSLdDqbV05isUd2y+bLqxvCh8G9q8tjOazJeSkBeKhLJg2TtLlza6j%20+NaWHi9t1Z6Ppef5+cvH7InW7f8A9W3F2UpdrpAFiq9tfl/treh8vEODcqAKfOBu63sfCkBtSRYC%20yVG5BNiPiPCiaK/zjh0Ll+CVAk7mngrdHfSdUKGl7iseXHF0TDc4XKvwZO6Jop3uJg4HGPaeJj49%20vThPpU45bcVHUkk9zrWLLZ249HR8fnuz8vuu3ubEwMpMzAQJbOiVMIIB6EBIFZ7NYhyeTZNmS6J3%20qzU6+YaJUd2oudO3+6vTDujOUlaeM5R1LhadaYccaUNVJUEkj+NeMn0zRs8SY+9b3ax3Qj/bqdMy%20HCoM6avdJUVoWu/1JGg/GvOCa2RO7P5Wy2zkXRGyx6gp82o/N/SeyhWVzwEbj2/lT1uD/KaG6k+6%20+bm4aBiHY7/23qyUtvrPmum6dPjWDkTNIdXxOKL7romK/Ku121NodRcNOISq6TcqJ+FZ6uVMayG9%201j6iPN16E/GgEAoCRqo+YXG0n8fGhuE6qNwAsaK8PmP9tF1RvJWZz3HJjcHemWhBKAm5JPw8a8ZY%20mbdN2zwMllmWJvitr5VmK5C9jp8rGolGK3IvmG1BaSHACBcHqNtceMV0xL9Fu52HvtpTu6Mvh2bn%205LMYqJjY5cltPJU5t6hIOpv2rxZZd3RENzn58VuC+66dJh9YArDTHqDa6EpJB1FwNRfxrvPySZrL%20t5gbaXCSSba6+A70NnUW2tgam9+v+3t8qGjnVO46XB0IGuva3b50mNgITe1iUp8xN+h8AaEw8xAh%20fcjIqZQ3JSNJNglQBFrKNSkVeu+adsbIXK84wOMSUBz7uUFEFtkbju8dL1Zed1ak8k5bl0qTHCMZ%20DOiXSApwj/DoRQ0YkXj8NtfryVLmST9S3lFafwSq9BJiyU7UjagdEjQD8KDru3DymxI0v1/hTqAK%20bknQp0KjpQNQnVXmPRVKagpIWnYbKT0cSRcEeBFFiZjWEPM4dgZEVxlqOIy1Hel5vRQV21FYpw2T%20GzdxeSz2XRPdWnrqg42QzfFgqLmAudiybtTwCVt+APU2rXib8W/zWurfZg5891n9PNT6ekrdDlxp%20jDUphe9twXQrpf8ACtuy6LorDgZsN2O6bbt4Un3Zk5rHQo2QxshTLIJQ8lAOm7S5tWpzaxFYl9H+%202IxXZLrL4ifSrH9qM5KktSG8lN9bfYxkudbg+bqa8cPLM/VLL+4+DZb2zht+NGxEhNiBfzE9e/yr%20oS+TY+SgNy8c/FeTdpaNoJG47vlUut7oo94c0474ujpLTuJ4TyLE539xdiLfZhulTdiQVI+Ark2Y%20L7bu6I2ff8ry3HzYftzd9cfk21iM9jss168dz9a+1cb86PgU9a6eLLF/xfE8zg38eZrrZ0u6SkuK%20lSOepTfq1qOg61ko06tsUCgUCgUFV91EqV7eZ0JG5X2xsOv5hSFh8isjOSE4xTjrUthMBX3EVAS0%20UD1j+n5f41KGr3yuVRGxMpcqG5HjFopQUgqurskJpUnZ4xJ7cpiM9NalIAT5IaWVEW7KUe/yoNqf%209vE6PL59ljHv6bbASN3lPRP5aQS257nuFuBiXEnzpycUpv0+rvVSqoyBAVPeZkIBx0txSojiTtVG%20lA67FDU+qvW1STVAz8/yVPuG3xeTlFfYwI6ZLbq4yVAKcRuu7frst1NXoUjov6cRyPJNR5Erk3qt%20K0jOw2EBKt2nmKCKE+imH2oZznMJWQazEhRxICfUbSW0vyDcLacCVW2g0rQ1TPJuYQcHxx/C5hMT%20B5d8sttRWnEpS42pwJ9RJG3cetxTQjV75vLcR4xmMbJyGShu4rIxE4yUFuI2WZBcS5tva6ibUqKh%20yxM1bKRjeUsYLh05W0tOLStxAHmCytRCm0qta3Snun8EPP5rj4LYxsfjeSzE9CAt3IwlPyYamL2+%205ZSm7ZBOmlKqr2UyTETIychjDjcEXmfvDJkKaXIKRZBaSwsedROtqUKab6ob/rqPyDDQGVyMbaKs%20rRFeDMSwCjezoF7k63oVQeZy+FUl5qXsk4NzzuphJC1ApFilx1Gt/AntQ92u+R8nTkJQTj2lxMe0%20gsssLcU6dh/mUrr/ALKCInTVSnEmykNpSlKWyoqAsLG1/Gg8CtRABJIHQE9KDrQKD0aYedv6Tal7%20dVbQTb+FBJcf4zks5N+1i7G7X3vPK2NpsOhUdL0Fs4pwvISs4wh2I25Fxq1feqSdylAJOmzxvReq%206O+3UqchWbxjkXGeovYmFKUln1mhr0V0N6SkJJzBuOZBjDYZKpri2wMuww3sWlQNyWlo8yxb89X4%20iSa5Vh4OYZ45D4jkHXky0PB6eh1a94RtssuBRKfnUoTRbMmOKYjMxs7Lbyv3cxQjP4plp2M2hlWq%20i1sIChcdhTVaakfgvtLySS7nFSpOFivoU0wyJDjT4N7ErG4KRqPp70lErHkcS4o2ET1/9SYdPSWp%200vSGUjsGLqv/ABq0N2Q3m/Z3IctwZgohMRzDlrfjlttp5CjtKFOJHmSepBNeVhn5H01R5KOIJnuB%20aVIdExLjkayhbehxwqFhXp57mHxvO+7zPF44Ww2tlmQ60uYzZ9wtIVYWbt2HSpCvfNYzgGR4/Ol5%202eJk7QpEhIiLS6s2QFtg6+brehRncS4lG4/jmZHEhEnyFNIdyWKW6lyzqh+q406dykfBIFIElnOU%20w08YnzG5K4ktRRGGPnH0XAVLCVlKVm5TtUbG1IgR033C4rxxiHisY2/lHobQaAjbi0nbc3U6nqb9%20aapdbE7tT885FnOWyESpXow8Yl/Y+zHCdzun+X6qQFKt1vSFl4SoeTxy24eClNqnP2QPuG0gpTa+%205S1XIHa9Bw8pgYTIwwhTU/0CqU0SVKcXuA3AnVXzoMxSpKwiFDBDgQn7uVa6W0bRcJ7FVKDIREDE%20RxlptSUJQqygDuKjrdR7/jSoj8e6+jEQ40ZsuTVl4gW8qAF/Ws9vkaCQx+ORFkpWAtyQtSS++u5J%20UeyQfpHyoVReOkojx5gU2XZLkl0NMi4V9Z1IHYeNIGfCjOplNyJriZEm6fSsAENA9QANCfjRNJYm%20PkMx0ZJ+UT6f3boQE6rV5uiU/mpRaPZptUpxMqU1sjg/6eGo6gj8679z/KelKI4jLKs3knXFC32j%20ZU4dABvOlF3cXVkSDYt41BulPRT6vE/000Jq7PpCuRY9CTt/09gEjRIBPahEOFuffH7eMbRb2lSh%203/ob8fmKC1e2qW2/cjGtNoCGhCVsSDp/mdT8aFJfQtBTeOH1Of8AJju/yjHTt/xMg0kXKgUCgUCg%20UCgUCgoHuVnc7x4sZSKtTsTdtWwhJO34kiuT5K/Njpfjn4w4nl7+RjpkxTt0aZ95s6vNwcZLeJKl%20WSFgbepJ6dqz+N5N2XHW76rWx4jlZM+Puv8Aqj8Hjjjux7PbygAVtzNXVpoyL637jv8AGgx8hf7G%20R/gVf+FB9EcEQHeGY9C9UqYCTbTQi1ZJRUJ3B+R8UzSs3xWSuTFfXeZjX1b7JJ8xQSf9laWTHdjr%20dZr7Ozd5bFfgm3NbW62PlmN0dyr3BOVgvwCpMSQkmzbv8yexBteuHyPJ3ZYmybZtjStN35ly/MXZ%20rpxdt1vw3UJUrJToxYyAbLZA22SDoOtvCtjh+JivdMz2ztDa8f4S6vfddPaNJbYbCGUhCUgbSB2N%20d+2yLYpEPp7bLbbaW6Q8/QdblJmQ3DGnJO5DrZsD8FW+qvVVbC4n7rb1N43kyBHfNkIkjVtXgTbQ%20Uq9TrLYo2KCVtrDjJFt4INu9796IXVcE6qAuAPLc+JoUCE32m9gbbj18bXpqVcX6EqO3aQqw2i1+%20tEhqz3/yEk4NnBoaCGJZ9REkkBAKdLEnStLm3zERFH1P7b41l18390Rdb/xVYfabLSspxGMhxALc%20VPpoUk6OFOnbtpWTi5Jut1aPneLjxZ57JrVcyQVKJubKSbXsB8q2XFlGcp14rmDbcDHc17q8p/ur%20zl+mfg2OL/r2f+UIf2purgOP1v5nbJItqDpXjjxSyG35iP8Ac3fgtdwqwOl9FjobjsTWVzNJBuI0%200IuL2+kDsBQlrD/uFRu4riygE7ZaDr9Vtya1eXPyu7+3tM0z/wBrYuFKhg4CibgMp1tcqBGh+FbN%20u0OPnn57viygnypT0IN1G+g/xeNViFfnG/X4jorxHwpufANglY6KKbqTbcB/48KI5C1I2r1TZNjr%20f8LU9Vn3YaMRimI89DURr/VAuSUqSNrirWub/Cp2xvRkuvumms6bezR//bwmMOYZxaGUiynUoO3V%20PmPTwFc/ifXL6v8AcEf7bHPwb7J1QpQ8oJ1vuAN66L5CvqDcFW6kny36hJ62VSClADzBNt31bdug%20Pz+NB0kSI0Vr15jyGUJ+tSiE6eBv4UK0VSf7kwUuORcRGXOfT0ULhu56ea22lOq6oGSOTZhZVlpp%20jME3MVg7dPAqSaVSJe8LFY+GmzDI3dS6vzOfirrRGUoqtuA3X6UVxc3sR5bdaTNBxayU2V5R1J1u%20PnSYHJKQQSNToDQcWVtAUN99FfKkRQc2JJBToPpoOt0FN7EbzYkdaRUdgElQIOqRa1/76RNR0eQ0%20+0th1AdbP1NKF0n+NKaLbdNs1jSXDLDLLKWWEJbSgeRCRom9IiI22W++bprdNZdJkOJNY+1mNh5p%20epQRpcVJtiY1XHlusmts0lFZfhmHnxG2o6PsHmL+g+x5CD/Vt61jyYbbopRu8TymbDdWvd7TqrmX%205Dyfj+OVDno9R1KduPmoTv3BP8yR0NvGte6+/HFJ1djj8Tjcu/vsmk/zW/8AJWeL+5HJ5mejonvB%20uEs7XhssNPj2N61sfKv7tdnY5ngOPbimccfPTTVuZKgpAUhe5CvMFA3Gvga68XPz6Le2Z9VdzHDm%20JD5nYtw4/JDUON6JUr+oC1a+XBE6xpLq8Lyl+KOy/wCfH6Tr+TL4Gc2OawkZVAQ+G7EpIIVqddKy%20Yu6nzbtbmzhm+uH6Z/Ru+vbUKBQKBQVv3IWEcGzKjoBHNyfioChSr5Cx06KxlZkNlaXxFZIbcaIU%20p0lV+3zrzEL3MqfGX+3S5GQVue9ElDa12bRqLCx0JqkuWZyJsZpqHNaLKUhMmVvFx/QnWoNlf9vj%20cdvneRRH2FAj6lBCiTZP1KFWEbH98ci/jeL4+cw36rrWUiWRa4IKjfd4DxNVaoKSqd6a2shiklU1%20IejGI762xxQulzakdUk3ApCU1QfHcy3yTkGeejt7OQYFERBZfTZchlAIfBbVqrclP4U3KpufPl4f%20Fzs7g3VRi8hR/bFD1G1uqBs20k6NKQeu0U0IVrh+Y9zsjAKJX2eFgKvIlRVSECStStVq3Gy7qtQl%20Gcly0HKS4DXHuKSsplILjjgeyO95KgpNv03HUquE9bCkkzVw/jMRCxysvyLHRMrkcgn0gwmUlZjr%20PRP2gB2KQTc0X+CryVPYdhzD8gZjckybjAcxbLK0IjJQFXCXVp3J3AA+U0SFMzXuK1ML7iclI41k%20Uj0W4uOWp+Opj/6Y9MoShN/y0T2VrlWX/b24kWGz6qNm9UuWn1nFKJ7bwSj5UXZCZbO42dMYk/YI%20R6YAcaRZCVfgBQQ4kvJDiGlqbacN1NpUQk/MDrQeVAoFB3ZZceeQy0kqccUEoSOpJNgKCwYKGqOJ%206JUdSFtgtreLfq7FC4UkIPf+6gtnBPbPl0t5E3BxDMdLal+g9+k242pJt5zcXT1IoLJxzC4drMPJ%20cxU5vKRWgt0BtwwUykXKyty3p+npoo6UFnRkHkYKTlUJbU5NKZDq8SgS9rq1BKkulr/LFul+9D4I%20nO5XBqcjTslx/ISFYx/01MLcdjuqTt7sWuLFV6QLjx3HMZrOsKxWcVhEsouJ78f0Fbz/AMo7lJ3d%20fGklNFskYfkcTCZFtrLoOSxH+oekuMBxxw6WWhwm6kWV0oJ7BwufR9uY5LhGMtPKB+s28khCbabG%20AlQGnhQrKLy+c45g5ipqcWiJk5B3SMVLbCm3EjqpK1iyLfAUgqy1e63tsuPFGMTj5GQn3Q3F9JpI%20bUDtVvV4BVCf1ZUDhvA0x3Z8d7Gpzsk+que56QO9P0t+mfyDp8aDHz3uXgosJOFk5CLAycsehJab%20dQEJZHlUtuxAKlpN0pFIhYSELlyHIbEfiyY/2jCEsmbLkpjHckbfU9FX1nufGp8EqrPOuHcZnv4q%20TnspHyORXIDrhjuIjI2pUFEqQgkLA+NWlUmrpynk3CQ6qDxeA/ImNkgy4764rSbfm9ROiwOtHrZp%20/NcbZymXGYyWRly2kOBpaS8spcWDqEqv0F6THoiwSYk6LLaxmHmBBkI86Cgbm2RqCpXVSja16EI3%20kWQm47GQ4Scch2Qt4fatMuhYBt1dIHk/Gh8Es23mi48tEVtt+UR60h1wbkaDogjQadKbSSieURsp%20l8TMjmcn/TJucky2G7gW8iVpPmH40ElFwTjUJiNGyjoQEJunYSpardSq9zSCtHlLiyUhceFlluzH%20EEgbSUt20u5r/YaRK7vDjuAVHwUcoyru55bnrKKCSSFm/mv0ps8/BmuQVx1NhOVcW+8rbHbCCSTe%20wJ10CaVeplgcax+eiomufuDTkpTyg48ttKiBuOibn+PjRKpMu8gZSl1zIsjzWbR9ui61X0CR3+NK%20FfZE8fh8mL8+XJmsokF9W2OWkrS3dXUX7/3UPdLrVyFCXXXsmwlDR8yiwjXX50KoWLE5DkM3NkSp%20aEMIjtlqKlsJ9RG/ylf8t6CcKuQndaBHS2kan7hISlP8NKUImJQ8h7ks/NQ0sQ2Y7KRsLgeBLzYu%20fKbeXXvQSyE58IQyzjY6W06NoTIT/sFCsJ/2rmyH/dGEy822gNQV2W0sOpKvUGlxSR9IUFP4qN3N%20OUu7bXdji/yaAoLhQUb3Zan/ALTjX4c52GprIxQ4Gr3WlTmqTYjQ0KPDkHuLnMZnnMPCwhmCPEMx%202Up300+mhG9dhtPmt2pCs7inO5+YybcSdjPsESozcqCr1PUK0rTuO4WG2woi5UCgUCgUEFy3LRIW%20NdQ40iRIWkliO4nclavAitTmci3HZW78mnzeVZisrc+b/cXksfORfRlxW4E6CdgjMgJSTe4UQOtc%20vj83NfkiyLY7eujicDyWe/JFkWRTrO2jjFk/tscnQlPTrXcl9VLK/wBlRHjO/wDZSL9A2rT8KD6G%209urf9HY22g9Id71krV5WSg0v778PmO/aZnGx2kNMKvNWEi5BI61r34Im+Lm1x7ePbZdN1v8AU6So%20zawtpCgfKQCLeB6VsS1Ick26+Jv30+VFCbAEmwGp0voelvChDh5ll5stPoDiTrrrb4ihRKcc5nnO%20LkoWTkMNoVsLO51GvUKPWhVt/A8jxGfYRJx76VKKbOsH6k/Db1oJCyjdAJv9Outu/wCNKkOVWN73%20IuLJv1Nv7BToSiOWcWxPKsM5h8oNzazqpGiknttNeb7Iuiks3Hz34ru63dlYTCY7CYtjE41v0IjA%20CUEalXibjvVtt7YpGzzmy3Zbpvu3lg43lcafyXI4BCNrmOCHCojqCncfxrxbkrdNvoz5eL24bctf%20q6If3bzGUxnFHTDsESEqQ+6UkhCVaXP4Vh5V91tvyw6HguPhyZo+5O2sIX2N5BOn4P8Abg160KIS%20RLtYKUvra/hXjhTdMUu2bf7l4+HHki62fnu6Nm28xGihqVKIudOn8K3avmZeceXElBQjyEOOtmzh%20BBse4tUrD3fZdbvFGovfedPeTFxSrMsNKS+xIURZWoJG75CtDm3zpFH1v7Z4uKa3TdrtML77eZyX%20luPNKfZ9FDCQ2y50DiR0UPnWzx75ut1cPy/Ftw55iyax/CfRYwPLcjofM30ur4nvWdy9xX5gSdv/%20ADFd/wDCmhP6OSTdQGi77to0v+PjQrQTt+pI3KtuCbW16fhTUqrmZ5/x/FvPY95Rdd2kLsCrUjxr%20Xv5Nts0dbi+D5GezuiKQ0V7N8yYwvKMnKeYK2ZLjgUpJ+hKlHX41o4s0WXTMbS+u8l4q/k4LYiYi%20bP4vobB8hxGaYW5AXvF/8rob+FjXSxZbcmz4fl8DLx7qXw75PP4jFoKp0pDbg1KPqIA7JSNb1kac%20Qqczn2VyIUxgoRabJ0ku+UD47TY0NIRX7NKmO+rmZjkxQ1DaVFLJJ6goN70WqSZZjx29jDSWWx+V%20sWH8BR5o7b0+X+rpRVb59ksrisIrI45QC2T+qlQ3ApOgsKwci6622sdHV8NhxZc8WZI0uVn215xm%20c1lXWMg42Y6kD0iBs2qv9Op1rW4vIuun5nb8/wCGw4McX4Yn3bJGgVtBUb6g10Xx4QLBITdJ0I7C%20oORuF9xFu3wFTWg4CVAbidywDoNAao13kPd2PDnvQkwHFvNLsoFW2/yBFaN/O7ZpMPquN+2LsuPv%20i/eF8YyDTkFma5+iy6kKKlm20ntrW5F8Uq+bvwXRknHGsw6R8ti5LvoNSW1PrBOxC0lVh30NIvid%20pXJxslkVutmIZgCrix8o0N+teomrA4FiDuG0q0v3pUci9wAdB9QPWlRwCQQFG5JNrDtQdXGW30bX%20mkKAOgWNwtSYid1tum2axNJYCuNYD7d5n7JpKXiSV7RuCldwax/at2o2Y52eLou75rCv/b57iYLj%20S1ZHDp+ps39RsfC9YLovsmsaw61ubj82O3J/Ty9Luk/FZMJl42WgNzIoUGFjylYIVfwsa2MeSL4r%20Dkcri3YL5su3ZGLmxYXM48qasIZbY3eoewua9XTERVhxYrr7u22Kyn5/ueJTqI3HoqpS1KsuQ7+k%202lPc3WAK1p5NZpbFXcs8LNkd2ae32jWf0S2O9wsPNy7WJjhb8k2DrraSppKu/nAKf7a9257Zmkat%20TL4rLZjnJdSLf1/JaqzuWUCgq/ui0p32/wA42k2UqMQD+IoVfImLw+Le/bx6SmpMWEpt9xlXplbn%20qk7ioddK8xo9UeeYxUOXjp0dhx4obbK33luKWm4I8qfE1XmWeiBhYuPZWqIltGxNmW7ArVbTQDqa%20PTYn/bhB+15zlFEbVvsblNg6JAAsLfKqktwe6QZOMxYeT6jSslGS61/Mgq8wqwlVTcd/apU5gvKQ%20pslzDJ1Qp1ZuQhJ7+mbC1Qj9WNj+P45jkAQtDn32aaEiXPbWW3UPtp3bAsa23Gyk0roViiI43MVj%20eXy8ZkVO5HCsuLcgSg2olEl4n7gKRrvCNNaalEdy5rH5iFJ40iey0/HlqnzZiVJQ+5FUoKQhty+5%20Fgk3FFVTl2ZdwkyAiFkZ54/KbBxsplTgUldrqRvHZKequ9E1VGVyJvLZhUwy2mMhFb+3x7zIBQ4t%20N/UedCTZxakE9dablKog88ROkt4hC0pxcRna6+Gdkl9dzuWD9aSQelFVLNTeLqdlRcOkswAndHcd%20QVuqVf6So6j50TorzsmQ9b1XVuW6blE/30HlQKBQejLDzy9jSFLV4JBNBYIXDc0Miww4z+o4gusk%20WcRuAukLtokHver1JWvB8SaxUt3LZiU2idHUgIhx0B5JW9oi2w2SQelTbdYhc5jHEIikTuXOSUKc%20R/pG4cdxA3EecyEo7nxVVRd8TxGPlWoubwvL1YeCzGbSxjtqgVlI8xPmTbeNDpUmu6RMu7z0PM8n%20XjnuTCLiWYDKZ0BhgpfkK3Eem2lKtzljqSB0pSNVo6Z72UyTOIlZVjKrwWCu0G8ZDQY65CVOJCVu%207CkpOt7KFFbFOBkcLiCZk0sZ+DHSEKfl7RKNhffvc3KeV2okaIfhWfPIRnG43Ey99zLL7DU20coa%202BO5PqJuBcaWqVNUJzP225vIyGPax2eOHXlliOvHkGVsaJKvM6CNybpqwdVmRi+VYlpDfMcnJymM%20YA/+TxilxrJSLb1obKrBPS16VVhu8i9s5akwMY45kp0pKkmZkVqcMdN7FSvV/wDw1aTKVSkLiXs3%20HxrWMbahDaokzEhtL29Z3KUHOoG49K8z+pXQdg4rGOFWTjwMtjUWAmxXGm3W2+wLCdylm3U16Kot%20GP8AaR3l0zKSmYUmAiO2thbgQ4sLSi5CUHzbge3WpuUlH5jmfFJDTjXHMD5Ek7shJ/TQ0juoNLT5%20tO1D3a7RxiBPmu5rIyHmXzcRJBWUR0oT0UG/pssdqUJ93Z7NzkqTjGGvVadA9TIMN+kA0NSAyPh+%20bvQl75uZiYmHjyGlp/a4zwtYjcCSAnenqCT402GRHM19UhTCCiTLWXH8iRuDbZ/5bae9vgaEumTh%20Mw8eymMlRU5I/VfVcqXp4/lFF3qzJnrT5bjDW4Q0qAkShck6DypP+2iPLLpLWBmtNsFtpLRSloDy%20g3HUUoUdlrkqSiFDuHwhJlSbeVlG0X2+KqD1Zhpix3m2EEbkn1HCCVqJ/mV11ojDgOSGcREZYb9S%20a4XS211SgBf1rP8AsNFhlRm/tS5JecD83RRdCdqQU/lQn8o8aIwsdIjRMZ9zIuXZLzqi0kXUTu0A%20A6D40pqtNWbDZdXJZmTdpkFQMeOLFLSO3zUR1odWLjHEIGTfdICRKcKlK0t5ugv1oPVpBluNyJKL%20Rm1FTEfurwUv/celFhxGUpWcyS1kJ/0rRUrsE7zRIq4UP3FRTq3jmzY26vqH9yaK7Pa8hxzaAAlL%20GiEiwAuaPOtJcLcXLWqNGVsY+mVKGhA/lbPj8RSj18Vp9smmWfcfHMsNJbaTCUfKADf1Oqj3NKvM%201fQ1FU/hZLnIeTOnUmQyNw0H+X4UjYXCgr3NeJDk8BiEuW5FbZfbkbm7glbRunUEUEVlvbh3I5Ry%20erKOtqdhmCtCbgbC36aldepFBzgvbf8Aas5AyhyTr5x8YRG2l3sUBGwbtdTampGkLrQKBQKBQY8n%20Hw5K0OPspcW3qgqF7VjvxW3TWYrRjvxW3TWYq+dP+4fAQIOeiy4kIRvuGiXpKSLLVutt2jWvFmPt%20vmYjSYY8WKLb5pFIQWG1xccgg3T1GgrJMNyYnqzf7ulRKPGZ/wCzkHwbVf8Ah3qkR1fQPtoQeGY6%202g2V7eZ3WiiKr7mpvw2f1+mg0LEt9qzt+kNi4GmpFKj0HYdrWJ73FAuQCemg0oPaOrFhZE170T0S%20ix1HY7ulcfyPPvxaW2/i4PlvKZcHy22/+5w96LT6kR3Q4kfmAsEjw+NbfC5c5razFKN3x/O/uLfp%207boeDAm4+UchiHTEmg6hJ8i/8QFbrotncS90YGUfbx+YT9hlU2AJ0bcPwPQfxpESU01XeytoVfaV%20m6e9z8SOooAJJCraJ+mxsT8PlSqy7NhIeSD1sSEp6AHxomjXfEVKT7t8lSsjeW2yAdVEen2Na9n+%20rc7HJ/8ApYtNKz/FeMnjYWWxsjGTUl2HKBStPRQ7HU1nuiJijlYsk2XRdbO0sXjPGsdxnDt4jGpt%20GStShbQncb6n4VLbaRRk5Ge7LfN926WQPMvXzBCvMNLi3fxr01501ag9j3pDnKeYpddLjaZS/TbV%20c2/UN7HoK0+NPzXQ+l85bTBgmd5t/wAF65/wjFcu469CyAU2Y6FPx1tkApKRut38K2MuOLo1cfhc%20qcOSLreu6I9mHXlcILDjvqpjvKZa362Sm1tax8T6KN3z0RPIrHWKr2dSnd0IspJ1GmvbvWw40uu8%207ArU2Oivh42oVcqNgQo2QgXSo6n/ABXobaushlTzDscKU2tST6a0mxOnW9SmlHvHfEXRM9Hz1lW/%20tMxIhy3N0pDhCis7CoHw3VwrrZiaS/UONmtyYovspFtEJisRjMQ484iQna4vcvcbgA9a81prOrZm%20ZmKRFFy4jEyTyFzsZNEdtV07wDqPEWrf4dk/V0fMfuTlY4sjFMVvWOPgILbvryCubIJv6sg7yD3I%20vXRfFJK4AA6eFSZHVVySDdIFiFX61QNwSoAqvYWvp86QClEkpSbKFjr0tQdZEePJZU0+2l5lQ1Qo%20XBqTFYo9WXzZdF1s0uhCSuE4J2OExWfsXk3U24zZJCu2orDdx7ZijoYfLZ7L++Z7vaUbG5HmMGtE%20TkzRLCbBie3qFDoN4FzevFuS7Hpdt6t2eFi5kV4+mTrbP+C2NOMvNFxtZKF6hXT+FbUesOFdbNs0%20neHdQ7KtsItY+NJmjy5FyrunadPjQVLL+2uCyubXk31upet50oVt83YjSta/i23Xd0u3xvPZsOGM%20dvTqic3Cz+MxUzGziufjXRePLSdWiBYBQOprDksusiY+q2f0b/Fz4M99t8f08tv/AMlK4RislDn/%20AL4llTsOMSHHUEEqF9bJ+q+lanHsmvfGsQ+h8vycU2fYvntuu/KG7Mbl8flI6JURy6fpLf5gT/MO%20tdezJF8Vh+e8rh5OPd23x+PRlgXuldlEG9v7q91azgqbsVdL+UnvVHIum4t5Uj6vGpQcApJBufON%20BQecp0x4jrvpl1LKN1u6rVLppFXqyzuui31a/je8kCTkG4YxzhDp9JwlQt87WrRjnxtMPqr/ANq3%20RZN8X9NGw22Gm2kNto9JCkhaUJ0sDW/D5Sb5unVFT25S+QxERYqZj7je1DDlii9zqQa8ZK00irc4%20F1sZK3XTbHstUD2ynTvTezUwsIBuYUQ+mj5HqK1o4szNbpdXJ5q2ysYra/8AddrK8YfA4nDsehjo%20yI6O+wAE/Otq2yLdnE5HJyZprfMzLPr0wFAoKz7lkjgmZt1+30/9QoQ+Omsg6jPzsc8FQozbJBSl%20JeWkXB0UmosxqzMjmMOzhpaEKcbbDRCE+ktO5Vx3t1otdKO2NcyrzaZbkIJWhAKVOLSENJtobHqe%2096aJSWy/+3N+c/zvKOSNqmyx+k6lO3cLC+lIJbH9/sxkcLw6FlMdH+6mR8pELbJG4EFRuSnva1Uq%20qOT4/H5Vjo2VZyTz2Yxy05BkpStoMEH1HmvSOqrnQWoPPm3IM/iePwM6ptt5sPJZTlWrJSgS1BLu%205gebejx8aVSE8p+JHYw2QgyW3IMZW2W+CPUWZVkFSkX3C/e9N51I91T5VgsBjZGS9xBFaUyHDh3I%20CtuxTe70vuEJ6Gwc3aU+BRQ+VQYuDMLD4vJqm4hDSZb0lwl9tLcryIQyi/l2n6rdqQbNUcqxLcFT%20yEKbaciuEsvw1JW27fTcEt/5d/jShqpoffS76wcUHevqAndc/Gg86BQerEWS+oJZaU4pR2gJBNye%202lBmYnAZPJ5FMCOyoPE/qFQICAOql36AUGe3w3JJlxkSNv2zzhQt5hSXilKVbVEpQSaC14DjiIOQ%20cRjFqyUdwFdlNKjuqDX1ISlfm18aUGxcH7c/YuLlyZDmLkPsOPNRp0gJASpO7bZe3d8BQijLn4Pi%20+EwsaTyRz0Zcl5pTT8H9RCmtwO5Xp386E6p73oi2px0+XhJqvb5MfkMeQ2S/KyyB6iUoBNgh6yr/%20ABpRdmdxVrJzcRAi8thxMM2G0oZdjQ9yXU2t5nkeVGnc0oRPVNy/bThLPK+PJhR1n1lvrGQS5veS%20fSJ2oeGqQPCh7vXkbWcQhfG8NPGbTLTvTEeBdWkoO5CXJhJQLKT0NI/VJ9JYfGp3K3/9ZzfF/umU%20irLSorK0llpwf/ojd2/NSK0WlUvyPmUBMX9ybYl4zNQE+RlTTimXWwfocWAEEa96bGqu4T3dwOa5%20LJmYtlUxbLP20Vp//TBokhRP6g63vrVmKCztvQJ6/Uz+fbMci6cXCPoIGv0uqSSlwVNE+L1fxfEJ%20LiZmEZxf7nHFnIykNIQ+13QSTbef5j0otdXZ/Oe3LEAzpDWMabHl+zQy26+FjRQCEeYi/e1DWdej%20WvJeU46UyThsQnERVFQEpwBbr6idAhuyVoFBRcbxCBF5FKdW44Jq20utpJKmm1uDdfZ3N6ozZ+Qz%20rk1vDLDfoeUyMmLBok/S36XY9jrUhUiMTG9RImurkpaBC2yoiOEp6ANHTy0qjpAfP+sySiluIbRm%20APJ5GzoU/BV+lDqiORYaFlI8WRKbMWGp8J+za8hdAIIU5bqfnShqnHcLj0vOID8ptls3CUvlCEJt%20QQOWgxn4rX2y5qYQf2uvLeV+oLfkSRp86HVNuYiQ0oMR8mpqOiyUtbVEgWvqb60qncic9Eya8VOj%20Q8t6jhaJkvBJKEi40vexVSq1Z8TDSI8NllnKq2BCd5UlRKiRe6jfWg850XJNIUzGyqnJzyCptvYr%20akDTcvX+w0qRLw45g5EbCMKTl1F54ul5akqUSrebi9/p+FKlWbKf5FFjqs/FecWhSWGPRAWu2gvr%20p86H4MDjkPkbGLRJelR1SXHHfKpnf6ev0JVehNUkXeQNAOvSoqUpIKB6FlKWeiU6+NKCHwULkr70%202XMkx0q+4WUw1NhSEkq0UdbH5dqEppauSJQ467LiJQ2brPoAA/AG/wCbpSTVER3ORZDMyHBjA1CV%20GbD8f10Ba7KJB3dhftSu5RMb8+U7Rim0IR4PtpSkfDwFCNUNIncgn8ghx4UBLTTbVn5BdSC4Lnyt%20nt86EVS7YziEJaZxKUtjRCA+ihWFh9rpMtfunBjyowjrRAWryrDov6o0JT0NNR9HUFL9u1Fc3kDp%206rlJ736JIoLpQKBQKBQKBQKBQKDS/v8ARYE0wWJS1NFH6g2A3UATpcA61z+dyMtkUsitY3c7ncrL%20jiIx21mWucO4leHbShCGmUEpbFrOKF/7K4uDPddytbrvg+c4XNy38vtvvup1thmN+imS2l/yg9D1%20/DSvoM+W6y35YrL63mZ78Vtbbe67p/1R6pJWmazHbUWdi9rzn1E/+OlcnHj5OTLW6Ztt9OjhYsPL%20y5+6+7ttjpGzf3tHK9fhkRNyr07pJJvX0MvpJldKgrPuQkK4bkr9A0Tc9rDrQfP8GxgxjfddpO5X%20jcaUHsNB5uo+r/ZQc2VbTqNSe1+9Ql3+6464z9tPSQ4BusR3PS2lfN8zk8ickRNuno+O5/O5MZe2%20+z5ekPJASlshAHpp0SLf213eLfddZEzb2+z6jiZL78dbrez2du5HfoT/ALa2Gy8pDLD6bPi6Ujcl%20XUoV0uk0IWPjHuHmuPelGyZXkcZuCfXJu42g+N6RuV9W2sZk8flYSZmPcbfYWPKkfVt7gj50RmNl%20KFFR0bHmUvwt2VSZ1eqTXZorGclhxve6XO3OGE8n0SW9AVWAub9QK50Z4+7Po+wyeMy/2EWU+aNW%208yQuzhtZRBQbeUhXTT4V0Xx1KbuCLbNydo3G46pvfrag9EJ3LWi9zYhJOpG7TrQar9qMacbzjmEU%20uBwuLDl0EBPmWr8vW9anHtpfc+h8tk7+Nhn00/RsuahP7fMSSE2iuXI6/Qe9bcy+fs+qPjCmezCS%20OHPhI8pkKUASNDprWvxo+XX1dbzcx96PSi9BQKk7ehG5VtBr3NbDkOEWIbNiVdNw0uPj8KQe7zfk%20RYrIXMdQw1a6kqIBJoVVPI+5ML1lMYRleQdCvM5ayE/LdakLs15znguT5iDkprzMfLtIP25aSU37%20hK+t6w5cUXw6XjvJXce7Sfkau4xwjkmW5F+2TkvNxojg+/KjpsHZJ+IrRswTN1KPqOV5WzHh77bv%20mnZ9AY7FxMZEahwkhuK0LJTbU/E104tiIpD4fJluyXTddrMvckhFlnU6Aj49KrweUKSD9VtDQLWS%20QLrudR86U1HO0C1jYJ0A7UHG5W03Sb3tbxHjSBh5HK47GIQ5Ne9BoaBVjt/G1eL8kWxW5scfi35p%207bIrLFxvK+P5GS5FgSxIkI8ymxcGx00vXnHntvmkSzcnxnIwRXJbSEpJjsSWVR5DaXWlfU2sXFZJ%20iJaVt02zWNxptlLQZbSA235QgCwHwpEUikLddN01nd21ISSjW/Tw+NWHkN1HuAk6HxoObqAUfqH5%20QKDq4ltSFIdG5t3yqQdRr2oRpNWBi+P43FSXXYTfppf1W2P8sEeArxbjttmZjSrbz87Jlti2+a9v%20XqicrxB5qU5lePyfsppBU6wb+k5/wjuaxZMGvdbNJbvE8rS2Mea3vxfqnMY5MdgNuSkBqYbB5Pjb%20vWayZpq53JtsjJPZ9HRl3VdQAtp5TXpgAVeUEXv9RHQUiajjcqxO3obW8R40Ap8qgDfdcG+oseoo%20KO57UYdWRenR33GX3CVobv5EE/hWnPCtmZmr6Kz9y5rbIspGjLh8hyOFlJxXIwS0r/2+RR9O3tu6%20616jJdZNLtfdjycPDyrfucee27rZPWfZa+PvMPc2xjjCw42pu6VpNxbWtq2axo4d+O6yaXRSW3KP%20JQKBQKCse5q0o4Fm1q6Jjk6fBQpUfJuOLaXzmHlBLk6KXHF/Je223rfTpUiV+LtOaflYyVJloPoI%20aJYjnW2o8yvjUJcKktymQw48EQmUpEg/Upy4vsSBra1JiIGx/wDt3yESV7gZVqLu2R44SbgpGqU2%200NekrLb3ucsIgYkqSFt/ucX1E+Kd2oqipojxWsi/EDzkd5LjknGTGiUhaQrc428BqtKdBapqkVps%20rErPKhcnhcR5NBQ1hcqtc2MsWcQ6tBDilAJvsFz3pXTRZh7Z2FxqcJnD4kj0sxkjuw8qKoMJWlRu%20pK1dP0R8de1F90cjBycbwOfjeSw38kjGq+ydyIcBS2hB2LeDRurzDvTVItrqoHM1wJkXCROPuswM%20Zi4vpxMl6R2zWigp2LSLErSnW5oNRZeLCba2wSqKUthK1X2pfQDodmhvfxqCsVQoPViNIkLKGGlO%20rAvsQCo2+QoLbxXGTWiy41OMR8OeolpbDhCXE6DcegpEqu+Pdz2PaSvI/Zw0RyUTHkNh9chTh3Jb%20cdbJG1SfGia7SlmIE5XFmJb/ABVwR40j1VuYpSYb7rJUVK89leofC1CdF2xfAGuU49vK43FZHH5o%20p3YsLlp/RSjr6yrAEq0p8R6rw/Jc6IUDkXHTPEZwol5STIadC1IVZttpZ+i9rUncZPI+FcvxiImK%2045x5kImvpfaiZB1qWUllQUdhBASnxpIlJWNzGQWIvInFcPXohT2KZWhLquiwpbVwEeN+1JKMjjrL%20kXBSsfO5QmbHYkussQ0IXJLjIIDV0oKrXoK/kfbbnjWTxsgZ13F4mc+pLMALUXW7C+5tST5N/RQt%200ofwbPxmJ5nhmnGoQgSWkK3SIzLPouuq7lTxVtB+JpqVndXOQc8yuDzDeVThlJecPpzo8R5D3rJG%20vmU3uCDf8yqFHvG5f/1GPu+Vx5mMwSrLx8RoLc9X4P8AppVv79qRFF+DIy0r29air5Dio8T1oqds%20iK9FLZfbvrZKwk7v6jSIlImNntkOXe1ERhl5pnHTTJSHGokZlK3PA7indtIOmoq1Ia85hyEZxr7K%20LhmMLAfNo4ZSlMxZ6X9VH0J+YqTC90qbgeNYTHsZNUpx55cN1tSp5V/qEpUCpSEuWvSUSTTOWZWn%20Kyt09hKFJiRzq60hfRa1H6jbWlI2B6e0nkSvRcCpMqOhLKFKCFIVsspat38tPYhmt4wDHLx6rL9R%20W5ySRuPqk/Xu+B1FDXqw5k8MYpTEn9KWlX2wWr/mIvt9QDqSoU9yjIZhLcVGEhkiJFbCY8Y67iB/%20mr8SaDpn0LMSMpfkAfup5RsB08aEUe8ptWQkOX3IxaV69lvqHj/TTYeGcStUOMlIICXgEpAO0Jt+%20XwoPeSXpclcVglEZpQ+6lBJuRb6Gz/tFIKvHIxER+P5FuM16bJaKim3U3GvzqbnWHqtyQfRiQEBU%201KEqdcWNzSBYaHxqjuxEMeO9e5fWkl54gkqP8vwFKjCx8+NFw8JrVcpSnS3HSkm/n/MRon8aFNGV%20HiraLst4hycttfqKJ0Qgj6UeGnWg8MS+wxgGnZB2IDzu1HVayVaBI660GTFYedlszJ1i5uH20bql%20pBOhPbcRToVYuLU2n91ecUAhuU5vUdNN3b40HolBmrQ6+CmEk748c6bvBa/EfCgRSpedyJVbWI0r%20wSkbzQ0dVEZFSktkoxqNFrGinlDsnwTQmHd/TPY1ptACUseVlOgGpoUrUdcdkuLixV7ENG8qUnQp%20/oQe5+IpAs3texHje4uPajX2/Zq3rXq4s+p1UrvQh9EUFJ9s0m2ZWfzSuvja9BdqBQKBQKBQKBQK%20BQaZ/wC4eZIx8XHy4xs6pfp3VqEg3O4fGtbkcaMtImdIafL4dueKXTMR7NU8WYcVjW5r7qn33txc%20Uo+W9zY/OsWDiWY5m62F43j8OC6brI/PomRrobanUmtpuxB9RsdR0VbuKDZvsTkmxAm4tSrvNOFY%20SOgSSSKyVqktrURXvcBtTvEMk2n6lMqA/gad0RrLzdfFsVnZoKNjJrGLjOON2SG0g27WGlaVnkMV%201/bXVpY/J4L7uyJ1cFC0kBaSncL/AAIPStq2+LtYlu2ZLb/pmrjTvbpbXxFe3oUG1kFaAopF036i%20pNsTukxE7w5Ud2vw7dasz6kzEavdUGahHrLa2tnUKOta1nMxXX9sXatS3n4br+y26O5jpGg2GyQb%20pA6fKtmrcevoPFHrKQUsKNt1tCfA1h/uLO7sr8zD/cY5v7Kx3PPFysphJaZ+FdLatd8Un9NevcVm%20Z6y2xw73Hw2dP2ktP2eV0D8Vyw3f4T0om2ypwfabLRfdFzJLdL3Hxd5KVG49Q+YAfCtP+3j7laaP%20pb/O33cXsr8+34NrqVdX6ZA6htI8B1H+6tyj5rulxoLW8qb6KHUK7hXzobMfJJmLxsxEHR/01FrZ%20orfY3615viZjRlwXWW3xN2ttdWhvbP8AeZPuNKTFDjU5GmUU9ciwve9vHWubx7L/ALn8X2/meRxv%207WKRX/K3F7hLySOKTVYkq9Ztu6kI0VsOht+Fb3Ii7tmj5Txc4ozxGWPla0/7fcrkZciXERvXBaJU%20+pf07r9PnWpxJur7PoP3JbgiyLoj59m2svyDD4hornSkpIO5DKDckHS2l66UbvjtVTnc9zOQUpvC%20wiw2NPu3+hHwtrUiFpqi14NcxwPZeY9PX9W1xV0JV/SNNKapEyk2WmmEBDKUtoHQJ6UKOQdTcWA6%20HxoKl7iZrK4LFpn44CylhLxI8flWtyb7rIrDt+E42LkZft5PTRF+23MM1nJElrIKStsJ3MrTobgd%20Bc1i4nIuu+pvfuDxOHjWxdj3bBsoEajbbW/W9bz5YuoEk22jp40HXyWCUnbu8wt3qjlSb3uAU9QO%2096kRQLrKdLBXgaR7iG5hjYWTwj2PlPBgvj9Fw6AKTr1rFmti6ykt7xua7FmtvtitGuuK8dyPGJC8%20ggNZBbYBdQybuJTfqm5rRw45smsavrfIeQx8q37V9bLZ/m/wls7D57G5hsOw1fqdHG1aLT8wa3se%20WLofI8zgZOPPza29Lo2ln6nyE2Xa5IrL19mk5uohQAsRoCehoBIHnJ0A1HakAkWttsEW6d70iagm%204snVQ1O40iagFJspe4lP91qoJ0sNVA67jQDsuu2hA8xFBxdJCU7jc6g9zaoOx33PS1vL86TADf5d%20R/V/5UHA0JCU2B13diaVHN1AJBFyepHQUHlKixJjSo0ppLzSh5m1C4tUm2Jik7PePJdZdF1s0uhi%208SxMbFctxsaKLNbbhHYanQV5sxxbFIZuVy7893dfvEN0V7axQKBQKCre6K9nt9nF23bYxNv+IUHy%20FiY2SfUJSXWVsOAqTHcSVFC72v1qS9Q7Z6NlXIkmKxkrq2bpRSCClvuN3S9HnSNGTHhQMfCjx4rR%20fnuI/QL3nUknq4fxqVetGwPZFUjHe5UeM0QUzYbq5rixdSlpKQLHwFXd5u+DbHvdljiONY7ICMqW%20W8pET6CCASFKPc6dqorOSnQWo3r5Bp/GyWf9XEFi/uSrzqZBaB/zOlKV0Wk1RcOTieVMN87gtBSM%20O8IcaG8LpQH1bJocQbE3t5ad1ZSGN7h8WYyuax0zHtNwY+EU27/pBsU8ZxCWkpUOhQRrekLEOvKW%2081GcaONffyMabvhcgxG/bIHpi28qVptufDWiNf8ANW8fPgYn9iYVHVx9bkVzFhQ9F1ttG31Bby7+%205pqNKcpgTVylZAKD8ZYFlJIOz+ki9xakysq9RCg2FwfHyseUTGljY80XmXGgQ+4oHb6SF9E+OtFo%202Lw3EY7kTbODej5D9ycf+7luiSiOFsJulSVKcAvqRRF+wmLlfat4Z3AYvEcfClOnIyVMvJkltRSE%20OJQvcb96U9DaKJji03k+Macyk6VCyeKhFQxeFYRZaEg6rSSSNCPLQR8j3kbg5CZjIuLmNt5t5pla%20FBSft/VBSst3A1O69x0oNgsO5tzEpw8Liq1YpSdrb7rzN956vEEg3vrelIIjVS8HL9wk8jlO5SQw%20nDtf6THZoIUosLTdC2rAlQN7BSuhomlFuzmCdGMCMrm5s+bMQW4UaK7sZdKha5SQq6Re6takavVN%20WDjuA8W4timFxpycVnACpyawoKCl287akIuohPaqlVa5tz3krWF/0mMVyViO60WMpHQYi2F7wFb/%20AF9VFY8ulNROt8lymYc+55UxL4zjleb7SLuLuv5XlthYV+ApSSPZOQsnwAwJsTEPx8b6rBSp91hc%20dSkjWynHAgKN6EoTH+7fHoHGce3GLuSybbZaTBj+VJUFHz7yCj+2naaqNy/k+b5dJVBlR4sRoJtK%20daR+s2g/l9QEgn5UVV8Jg+N45GVeYYMJuK+jc+ydrwTs1G7vc60+CMqHFyMX1MwqalLj4KCzMBeU%20ho/ygWvca6UGBiXc9kZGRd9BqPjw62bOJv6ikp03pBvY0gSsk5BpKZEqdtde8jUOGC2okaJt12gf%20Gi19UfC43jWORynZocmSnWklx55QWpG5P0JP99E0iEg/Agx46nHZc1thOiWW3bJUT9KEptQndDP8%20Vak8kxk7JzJTnqoc9OCpy/phtF0G9rXobJxyBGTd9/ITkC2qy9/Z0pQ1og8lhk5eVjI70ic1h3nl%20l5Ljt1ulCdwIFtBcdxST4J79oiOLH+rmhNrJu8AlIH4aCkEzKC5DEykyK1Eh5YpgNPBMiSAoKH9K%20D/N8ahNE2vG5NmzLeUCWWgA0kJVpp1qrVF8hj5lWLnQ4uWC30tXe0VsbRcX1/momrNh4edGgMxms%20tdAQN61BRUskXus96VHExnLNNuMs5QOTHE+RraqwAFt6/gPChXTV4cdYzsPCM+i9FW4su+o862pS%201Hcbi9+lCrKmyeQsRFqJhuPLSRHjpaUFLV/HT8aFUfgIXIUY5iTLciOyS46UBbZV6Jv9I1pCVSvr%20cgbT6zr0IJCgdWVXKr6Aa60ha1Q+Ga5DI+7kyxGU0mS4r9u2HcoqV9RVfb8qfEmiaVKzoSSvF7Gw%20P8xbrZCUjXTWhog4szOZTPzi3jFt41MdCXwFoQtyy9Nt+ib0K6JwO50BKU4bahA2ttodbCUp8LXo%20UQ02byGTyKHDiY0tKQ1aU/6iDcXPlbUD1pTUSoeyUVpKV4hbUVrqEuIKj8dO9BYvazLxpPurDjJY%20cZfRAUSl07gB6g6ECwpJL6PoKZ7XoIxUxZNyuU5/YtQqC51QoFAoFAoFAoFAoNK/9zKT+y41VgQH%20xf8AgaDWPFtOPxQE7UncbH/Ea8T8avczPqlf9nSojhQdDXroTuaQoBa/5b961OVzLMUes+jn83yW%20PjW90zr6JTiefRgOURsky5vhyP05qk/TrYJ696nA5k54madtrx47yF3Kibptm22Nvd9Gx3232G32%20zdt1IWk/BQuK6DooD3BNuIZJdrlDSlpv4pBIrxkx23x23RWJY8uG3JbNt0ViXz7i5+ZRjmnUyd/q%20ICwhzUC4vYWrjZPBY4r2z+D57N+28UxPZMxPR7u5GfNSPu2wytHQp8Kvj/HZcV1brp+D34zxOXFP%20dfdMOptuIPTvf+8V230UzUCVrSogEhNt2mnzrxOS2JpXV4nJbE0mdXI3BZKdFA6KPbTtUyY4vtm2%20dpMuKMlk23fTLqy7k0lTb0xXoKNgT1/HSuPPiMWO6b/5Y6Pnf/0WLFM3zMzbDLMLHphHbKSp5s2u%20Ol+utYrPMxfPZSYin4sced75+32zT9WMnK5lRXEdIUytJSl0DUjxNLPC3Rd3RdMWz16/BMfgb4yx%20ki+Ysnr1dRcJHmuQk+au9js7babvpcVnZbFta+7zehsyTodkjQtuo0WD416uui2Ky93XxbFZmi68%20d9xM1hQmJydC3YCgEMZBOq0W0Hqf+VYMHKx5ZpbNZYMHMxZZ7bbom5s2JKiT4rcqK6l+M6kEOJOo%20I6Gtjq2qdHrcjcoarAAPxHYmiOfMm1rlarXUnqf/ACpUlis4rGxJUmZHjpjSJf8A7l8WG4I1BUak%20WxGr3dlvuiLZnSNkPmOd4CETFSszZKklKozOoNxYjWrTR5tq1+rkDuLQ7BY9HjmNlqL3kBDqlK67%20j5h2rFdksx6To38XEz8ua2xN/ayMDG43KCpkSQMi+dHJCjc3r3Zfbdrawcrh5cF3bkt7ZTwWDcA/%20Toa9UazrdYOouCbC3YfGgbU/5e3yW/D5UmRwfMgAoNjoU+ApQec2HEmRzGlMpkML0W2rUW+NS62J%20iksmLNfju7rJpcgZfAsQGwcSP2uQno8zoflrfSsN3GtnbSXSweZzW3fP/UtneJY8DlMjHOoxvJkB%20hzdtjzfyLA0F+968W5rrZpf+bPm8dZntnJx//wAf+S1oUHAlxJ8pF02IIIPQ1tOHMTGkm42vtN72%20t/tpRApskjcetyfhSoEosV9Nwtu/up7CI5bg1ZfASYaCDI23ZKv5hr2rFms77ZhveN5c4M1t/Tq1%20dw7F5/jGUTk8vFkR4adHlJsUn4qGtc7BZfju7piaPtPJ8nj8zH9rHdb3dF+l8dgZh5Gf49JEfIKt%206jjZslY/qFbk4rcnzWzq+Zxc3LxP6Oe3uxz0lZYf3CY7bctaVygn9RSL7T8Retm2Jpq4+WbZumbI%20pa9QFAAA3/mJ62q0hjBYeVu1kmyhQCAVAFNwNQewNBiZacrHY9+cEl1LCd60eCQNTXm+6kTLNx8X%203MkWbd0qdivdmFkskzBaiKAdUAXtLC56Vp2c2LrqPoeV+2b8WKcndpC+qvcJF7KF9w7VvPmIkFwQ%20NT4qpQBu2m9t2tqlBwTYJUpVraEDoSasDo842w2txY2tJBU4vsPG9SZpFXq22bppG6GY5txN95uI%20zkWw87o0kXuba21FYo5FlaVb93iOTbb3TZPbCdNrepu8hGnh86zObUspNhe9vqJ62orxxy0p5riF%20gkJWmwI7m5ovRt+iFB4qmxEyExy6kPqF0t38xHyqVitHv7d1K00e1V4KCte5JSOC5ncLp+3Nx/xC%20ixFXyDikIxruSjtvokSH5G9kg2S0jaB37XqEaO2TyWIxuEmMOSPVfU0QbJUS44TcXIFqGlHOCcy0%20uA1OLSI7zyLLkr1CWxptQAbpvbvQokuLZN/Ccsx/JhJkOwYj6G3ClVkrYJu9oR0BFIH0l7lPwZ2B%20wzzg9WFKnxFKR13tOG5H8K9QleiDiuS2MnIxjb6imMorhnsplWqk/wD9saV5j1TohYUGOOLTpEBY%20gyw5OcKbH7Z51JJb9RA1Usnp8a9Tqs6fij+EZF6f7eOffn0c4JIXKYc0IDawUOIv2HWpSslHfOQJ%200zLS+eQMmIsRmC3j8o2o39awKHHm7dxu3USrU2Vjw8TjmMK1OEiLPdcmYXItJUFuh0f81ZFrqSNa%20dFo07yH9zh5KQ06yiGVfpuIY0bWAb30JvRIQtFekd0MvJcKEuBJvsWLpPzFBsTgeRS/CkspDjchN%20jEQk2YaduP1FA/ltp1oUbHyz3FchzQ4fIzJjcRMlhiTkG1bkIWtoK2kpSfIfChosmfy3CIMnF8X5%20BgHWW5LqTFnsja282Dbyg3KSr+qlCFxPGuRQXUT+F8bQhlKQuOmattwEpHlKNqhYHvQeuB5Fn8hk%208hP5xglMMxwmN6rRStMTemyloSkrVra9CJ6pFHuDiYUCdFkZRtc5pJRiJDoU2t9LgOy++x3N6UJr%20LMxGabOHaw+BgKyS3UKcyDzg2xkvPC7pc3bd9lX+k0qqr/8ARvOn+YFhzNttSILCV49LAUiOhp0E%20LQ2k6/SLGladEiIWKHBawpD8/in3TiCD+4NFs71fzoTcqF6D35HzHjkrjuQjz5a4Tygl1uK+khQL%20agsK3226lNIihKGHv9xxzFxXcY+rL5ZxoCQyi7bLTne4cCb/AIGlNBReR5hXL3knlcqPLjIKlNY5%20AIYbO02KgT1/GlSFb43MgnCNwMdITDiMEpkvteU3uf02ye9tb9KTBVYIUaOiM23FUlcU6hZWkLWf%205lXPWhRAMzGpGZyeGDfruRpCHZDKFJG5wI8oUo6FNjrVNdk2zj5C5KJs8tuzGyCyhK0+k2kdAlJP%20WoMSJJDEvMNkpenLfZLccLT5iUm3f6fGhv7MuNBeZUuU+tCpjg/UWFpshP8AInX+NBjqcbjcilOu%20X9NMdvanusqR0SKD0jRni6mXLTd6xMdg6htKu/8AiNCrpKUlvMYx147W0iQVqPXVFKFNHKGXZriX%205KdsRvzRYix9d+i1/wB4oS5modVm8SXCQUrduu4FgGz3oUdCDkiUjcnFJ0WoXBfV4D+n502+JtLp%20mWkoxkWMyj0m23hZCRYbfh8asLDKluzJU12NAOxLRH3E0g2QbDyp+PxqPNKMfJR2YvH8gyyFJSWT%20dRF1LVcaqI70mvVaTV6OyXGktQ4zJfnuIT5fyNpsPMo9KD0aZQwy8oOetIcT+tIP1KIFto+Hamx1%20Y0CS3GwEQqBcWpTwaaQRuKys2FKFHvGjupL0p9fqTFtEbj0bRbVKfj41B4YiQwxgWXJCihsOvWJ1%20Uo7tALdzVoSyIjDr8tmXMACkqBixezaSdFK/qVSSvox8WsBWUdcV5EynC4rpbzUHdKBPcS86kpgJ%20N2Wuhct0Uv4eFBzGU45nsgVW0htbT0CUhZpsejqpSp6ylla2ISNFyEGzjiu6Wz2HzoUFNNN57GRW%20EBtlLPkSOnU6n40Id3JkpTjjOOSFuAEOST9LRv8A2n5UoRGiz+2baGfcXGtIuq8NSlur1WpXqdVG%20kEPoVZshRvawvc0FR9r0/wD/ADRcJuXJD5J+TqhSYKLfQKBQKBQKBQKBQU3n/NnOMOwnCnew4rzp%20HU9dD8K5vP5t2CkxFYlx/LeQv4/bNsViurVfvJygci4nDkFASlEpNvT1G3aet/zVPHeQjkV6XR0Z%20PFeR/uqzMUop/GQDg2Lam5uB0vc2rfmvV1taeyTBHUEH49qLOjxejJej/buqK0C5B+eta13DxzWs%20btHJwMV8zMxrcfZxzEMWxU0Rf4gjvWey2LYpDassiy3tt+lsP2x9xDjls8dzB2xzf7SYrp/hJrLE%206PXbpVsfmxQ7xHJFB3oVHWQU2NwUn+yqkw+dsalKcewkbdE9E38O1DqyRfS/S39/jRdXISqxANlW%20A7Wo8z6OzOay8VwMBlDrNtqVHsK+a5Hir5v0u3muu75Lk+Eyff7oyaT+cMlGLmuhTpSBc7gD3rfs%205+HDEWTd3THV0sflcHHiMd103zGlWGAtIII2G2qT0BrqW3W3RW2aw7Vl9t8VtmLo/R5NxYrbqnUN%202cWfMR2NeIw2RNYjVit4mGL++LY7vVlR82zBJbkxFu2G71gBtKu1cPyeLld1bdbHznl8fMm/TXH6%20Q8UqcdcUoJ2tqvY9zfWutw5zTb/UiKu7wbs02f1YiPSn+LkLWPMhexQ0Cx2HhWTk8e3NZNl20svK%204tueztu2ESMm6hbUyQXWToE6WIPjXLweGssvrMzo4vF/b1tmXum6tvT/AKvfB5rNcblGRiHFORib%20vY5Zugj+n4126Pom1+O+4PHs3EW46+IklsXfiu6KQR1ItQowsh7kRS4pnCxlTXiNpkKH6RI6dLGr%20QQb7XJMsq+WnqbjEf+yaNkj+OtRe5kw8bBhoSlhoJt+bqT/GiKx7m8YXnMKFMBSp0dW5lCeq76bf%20wrW5eKb7dOjt+A50cfP800tuVfhrOV4aUyMtjymLJsVuN3Km7/z3Nq1cFt2HWY0l3PJ5cPkfkx3f%20PbtH+ZtCLMhTo6X47yHo7p/TUk9e9dK26J1h8bnwX4r5svil0PayiFAm38pHW1WGI3EmybaGyr0g%20D6nmtb+n/wA6AQkA67VL0JHjVHIKTdJ81tFCiTFWm/drHT2cwhxordhTAA2lGpCk6Efxrk87H83x%20ff8A7Y5lv2pidO1cfbTIRlYRGOdlK++ZN/Qd/wAwA9q2uNfFO276nD8/x7pyzltj+n6wuZ33I0/p%20+fxrbq+dcDRQunzKHmUOmlKhuuRtsUg2VQBcEDVW49fClagrY4CkhK0fS4lQ0t4VRVp3Gcjj5y8j%20xt4NPOavwF39JSb9RbWtW/DSe6z8nb4/krMlv2uRHdb0u6wscRx5cNoyAll9Y1S3faD4C9bFtaau%20Rmi2L5iz6Xt5N/8AXb+ym8ezGXJGwmyyPy1QGqzZV9uhT8aUHCm0utKbdAUlYIUntY0WJoo7XtRE%20hzHp+OmralqUVsJNtiVdR2rT/soiZmJfRT+5Ml1ttl9sTbGk+7NxXLpsaT+28na+1fJ2MyT9DnYa%20/GvVuabZ7b/zYuR4zHmt+5xZ7v8ANb6fBbCUbElK7J0soa3rahwpiYmkmhXcpsU9FfOkSgNqSobb%20DqT2pQdXG0PtLbWAppxJAt11FJ9Fi6YmsNSH2nzYzEmayppTCXCthKioKuDcDTvXMnhXd1X3Fv7m%20w/atsmKzMUlFzuSczi5j7Z+e5HQ05+qhem0X6HTpWG7LltupLp4fH8PNh7sdsTWG54ExM3GNyojy%20H3Ft+Wx8hUBf5117ZrFYfnXI49+LLNl8dtJa0me7mYhckYc/bkfdY8+n6ZvYgHr1+Nc+7mX2z20f%20X8b9sYMuOL7b7vmhuyD708bVg2p88KjSSP1omm9OnXr0rPbzLZtmevo5eT9t5/uzZbrHr0Vab7jc%2015i99rxKE41B3WcmkeXb8DWGeRkyaWw6eLxPF4lvdyLom7pa2BxXgcbEv/uUyQ5OyzqR6kh46g26%20ADStrFgi2azrL5/m+UuzW9lsRZjjpC2VncooK17kp3cFzI//AED/APiFB8iYpvD5KfkZogpjhl70%20lA/SobQdw16V5h69jIWdx7jiUehCbcCYjaR9en1G/wAdKsVlIkzypUeU1HxgS2h9KUz1a+mgEDzG%203e1DdlSYk4Q3kuSUNRg0fVjtXF0W12X7q600IjRc+Ne4S4/AsTxzKkv5eLkmFwb/APOjlZVtudAU%20gga1U9l4yWagxmFy/wBWBk46/WiMvArU4gnc60lSAU7VdKuslGJwvNNcjwzcqGgGHi5j8iWyVJAc%20fWvcluxP/LULVKfiRMs6U3ij++Rsk1+vPZCsc6NHvXlghTbR6bUEi96JCu+3XGGsVx6bxnkxXInM%20JlLjF43YBWghKT33aanpRdmr3WnmOKI4uuR9xkHpDr7diNsFspBSkqP5XLbNDV2kj1af5PAnQJLc%20eYpKHNoUIqDdLQP5U9dPxqUELQcgXIFBtfgjbc2Yjj0lJbhZEfZT32SE/oEeoXU3+IApMzI2LwcY%206TAiwWtsKFyTNNMNrbtubktoU22oXudUovQmWy8ilrPchcwGeLbM7GwHW233SClTgI9N1O3wT1pS%20hs9MbzeJg4DMyNOE6DHV6cjCKClvNKQSkuNlI2gG27XxoQiOFe82ImMzf2k+jlpUhashJmIWWWkp%20UQ2NqRuJ2+FCfZxyjivt/mJ+IzGfmNZdx51SJUlQUltsqUAkISQlQ/Gquy6o+6xLQj4XMxZ+JbT+%20njpV1ObB+Rsp2jQfTep8Up6K/wAg9zeL47K4idkXhiH4KltvsSCFktvgI09O/wBIpMn8XtL92Y+5%20Q4bFE2OSQnKSCPQ/4U3SvT5UqQ1pyydl+W/cLzU5cuHEuXGEm0cr/lQCN2hoRR3g47GLx8ADGx96%20o6SuySATrc9aE12eIhY2e+uMxCYTEG5MiQkG5ITfajXrQePHcbiUYaM2jHsFDYKUaG/U9daFSZh8%20U/KXFjsJRKI3OuJvsYT/APmp0HhiOP4RC8rtYIdEhCFOq+tYKPzGhVkv4fFMPpYaierNc0aRfRIP%20516/SKDBwfEcDHk5RTjBeltuthyUs3XZaSVJSfChEs+RiMFEQHVRd7jh2ssD6lK7EfKlSIR8Xjby%20eVOuzctLkSG2UqjoSpP6KVpuUC4/L0oVqk3sfGZbU+9k5wSD13puVHoBp1NCsouThJE7OYl2dMmJ%20ZAeLMRS0+oLIuFkgW1oJheMSpJccyc4ISAFrUtAAA/ClYTVEyce1NyeNbE6Ycb6rgS64pPnWlF7p%20sL2NWXqYSxhZoo2JybaWwAA0AqwsflUSulULyNnOzIzcSPlU/bpfAlyk3uk2+lBt1oJtePyrILKM%20o2hhNkpRZWot8qFUXn288nGTY8XKIckFrdIcsra2m4Fz8aUKM2DjMrDx7bLOTS6dgU4pe4l1Vvz6%20UN3MuZyFlAbQ1CcddT5WkpXv2dFKOthagw8BEy8XHMPtohreWp0+q6lZUPObjQ0kZk2ZyFmK4tTM%20JxakkMNJSvc4rwFz/fQjVg4Rvki4MeS8IRSlbhajrSs+msnzXseoNBJql5xrdJkJiei2pKl+klYW%20rXoi560iCOlEJhJWZyL02Q5iXTjkyXFMMApC1L3aly51A7UNITok5tRVtwzmupJU2AANTt1oaIRi%20ZmsjnckGcU6MehhtElIUgLUAvTab223pVJ2TAlZgANowrqUpAS0gKb2pSD0GtHqaVRpyGTczk5Lc%20JxpDccIlOJKStgbvqbN/wpRJ3Z7OWgstBhjHyg2k2SkFNyfE0kosPtVncdM92Y8FpLiJcaCr1mnd%20dv6gOhGnehMvo98kMrI6hJ/uoVoqvtXrw2MogAqekk//AOdYoLbQKBQKBQKBQKBQUn3YhLmccUwW%20vUjqV+qUC7qdPy3rneTtrimfRyvL932ZpSnWfRoaZGRJwxxSCUNx3fWQF6LKQCNR8zXA4fkbePdN%20Ir3dXy/A8pZxL5+WZ7pePH2/RxbbBO5TRUD46knWvqcd3dbF1KVfeY7++2LvVI2HTtXt7c62vQ6O%20ELQJCErBSlX5z00rDyMv27YmI7q+jX5XInDbF0W90zLw+8ZfffipYU6yL2eOhB72t2ri9vKzZdJm%20y3/B839vm8nNrM47a1llN8g5nj8U9jMfO9eC+lSVMOm5SkixANr19DbpFKvqrbaRTeVdh5XLtJLK%2045cSym1wPLp415vzWW7zqx5c1lml10RLsOQS5MVYSw2hxV0NElX8aWZK0pNY9Xmybru2bZibOs/8%20kXgMm0xOEHPySwt02ZkIOg+d69xOvbE1lsVrNF2Xg4yXT9nyNDbqkgITdJuAb9xWHJisv+qKsGbj%20Y8m+7urAZh94OO8jLhAALadmy3w0rQu8Pg9NXMn9vcaZ7oj5k07AgM41z0CiU8gbhr5lqt1rVswc%20rHdFPoj+WHPx8bmYL4m2P6ddlZxj8yXE+4fhOxBuKNrwsTXax8iy67trHf6O9j5dl13ZWO+msMnc%20SNTuAGqaztsOv1AEgW/E9BRHB6G/hoR2+FFo7Mqh+qfvHfSZ0AUP5j0NaPO5V+G2ttvc5fk+ddx7%20K22193rOVjm1pER31r2vbpfsRWp4/wAl9zS76v0ho+L8zOatt8T3V36asVlhs5+GSLFw2cA0uBbQ%2012avoZrs2U20yyNjDaW0DokClA3Ag7TcjT8aCle5HJc3x5mLNhWLbhKFg/Sk261p8vJfbs+i8Bws%20HJmbckaw7+2fJsvnoj7091LykLKUKT2tTiZrr4mvRP3D43Fxrrftx8t0LitLbyFtuoC21aKSoCxr%20cl89Gk1hUpPFclip4n8bcs0VfqY9Z8lj1I6mtW7BNt3da7mPyduXFOLkRX0u6rYnRCVkEubRu8a2%20ocSd3Krnyi4JF9wpKAN1aKvtFin40nYeLsqLGG11Ya/kCj9R/pqXXR1lkx4b7/piZcR8jBkPFqPI%20bdWkXcQk3UKlt0TtK5MGSz6rZh6raaeCS4gXQq6dwBIt869TEPFt8xtKJz3FYWV9NxlX2U1klTMt%20qwUFdRftasWTDF8e7d4XkcmCafVZ1iWFhslyFicnFZeKp103KciyLhSU9N97AX+FeMd98T23a+7a%205eDjZMf3cN3bPW2f8Fm1BJvcdk1sOM6mygAUmytfl86RUcqJSSrVQ0G0UHOtzcAIt+NIHA2lsBBs%20LeVQ8KDnzbu22343oOLKKbE7VnuKVio513drW1Pe9Kjgm6dxJQBqf/OqHlT5gL7jrapEBbojed17%20/EigxsjjcflYxYlth1s6A9x8jXm6yJiksmHNdiui6yaTDzxOKj4mGIcdRUm5KAok/LrUx44sikMv%20K5V2e/vu3Zp12pUL31JHQEV7azm6rm9tva3WpSQFztVqkd01Q3rCSSL2OgT4UKIvO8ZxOZZKJbQ3%206kLA1JI71jyYrb41bfD52Xj3RNk/gqmM4byjjJ+8xM77ooUSYrn07PDQVq2ca6zW2Xc5HmcXL+XN%20bSJ6xvVGSuKQ+XciRJjIdjZN5FlxnQEtl2/1AjWvP2oyTMzExLPPPv4VttkXd2LpMbxHu9JPtbn8%20DJhS+WxlTcQDtmLiXVZNybrvt0rXniTbMXXaw7Nnn7M9s48U9l8/TXq+h+ESOMuYGO1x51DkFhOx%20O21x3sr411MXbT5dnwvPszRkmc1e+VgrI0igUFV91Cge3udK77Ptjut1tuFCHx9DlxHWxDcQvH4o%20pLrSnvrcbBttG2/5qmtFqy8zm8eqPHQw4l8uvJbLSQQenxtQmapFGO3QXmC4FOTE+d4noq1k2+Qp%20qvsxFvKlY9iGQRIW6lpxs/UlI030oky9MjMS4w+1EQZC4rZ3vD6WigdfG/yovcnoHvPzbi+Ax+Ml%20x2OQNziERXLEyEtrIC03NhfXy1erzsjOFe6Ht5jOQz8ZmcHKxsOQ56iHyU+oxIUSVFViR5ldKDD5%20v72wMd7gY+Vh5LnIMHjUKV6U211PLTaytu3RtQ0oMqT/ANz+JyhyRyeEW0cswmNLEYpCUobuULRu%20Vfdc60NlIl8r4MIMiBEZdcjSmGW3FrP+oWsKvckaaHWkKoWakXfXENnRHcKWpJuXC2PpQT0sKQiM%20oPeEw0/IQ068lhCuri72H8KDYHCoj0XLRBsXIkwXdoQ59BBBP6XQ9D3pMUJiOra3HeN4ubMgYXCo%20U1OaJysOSo2f3oUUlN/p6qNCfRf5PFcIvmWNy+NZLjcbHvOZGG4SfUQhYDoO0/WVdKLEyyOGpxOL%20fy3JsE2GcXKkN/ucdA3DYgFKlAG+qBpSUiNHrhY7L+EhZSMlEZ4vS1RcqNoKQp0lIWPDx0puU/Jh%20c9z/AA5EWKnk8OOmeZUVasi2FelIabUCsi2oNut6EezEzfK+Oz0rTxbAxW4IB9TKStwBA6loJVfT%204iqNb5bj+KnKOXkRjJU28yiGt25KyV2Xb+nwqVKpXIYmBMkriwkGE4n/ANxJY0SyP5RfuroaslXM%209043Dvt5BLTEFpATHni9iL2/U77vwqHR5xJMTIY2IGppjwAylKloNluqB1tf8tCJSsZ7HNFDTLra%20ENpUlIQe20+bWkFNETx9U6TiGGcem4F0OzyRsb1JsnW+6my9U3BxoY9OO23+juuslSbqVY+ZWtSj%20zSZ3Q2JkuLgqbjBMjLSnFLdbuNqdpKQtevYVZetUtExbscqAs+66oKcdKhdSgOnXoKPMao6KtURz%20KkpK3lPspbj3TdRKT01ou7IYiONuqkyV+rMWLFXZCf5E/wC2hLyddYY5DKdfJKEx27J7qUUaBPxo%20UerLDzi0S5w2rteLE/K2k/mV/Ue9B0keXN41xzyoSl9S1nw2UTo6/bKyADskKTBSd0eOr/m/1K+H%20hR6mXaUCc1iAR6Sd7u22gSkNnpRIh1U5KnFaIiyxCT5XX7ed09wj+n50HTMNpaxsOOygIQl8JCR3%200oMqXNeMxyJCG+ULB2SR+m0Lf30odGNPjtRsBOabuAWiXHD1cVcarpJVkOvmM3HZQ36s11KSyx1G%202w8yrflFAZihhuQtSy9KeSTIf7n+n5DpSRjY+UiLgIa3gVKUp0NNjqpW82FCnqyGGHU+pNmLBmLb%20UEj8raCPpHxtUgl44l1ljj7bzx2NJeev4klWgHxNU1e8RpyRJjzJSbAKH20TshJP1q/qNCXhi1gq%20yjrigEtSXNyulkhXaoOS0jJEKd3pxoN2272U7boVf0+FUcxLnNz0gBKExGtoToEp3nQ0r6Hu5MiT%20L/Sg2RESrY/MVfcSOqWv/OhSjpDQzFy0wtD7eKxCBBPh6nU9yaUKOy58uVGckb14/Fo+t8gCQo+C%20OqbH40hKR1T/ALSRvR9xYT62/TelRFKA7pRvtY/PrRX0Pk3PTx8hf8raj/ZUkV/2yTt4dDHit46f%20F5RqyLTQKBQKBQKBQKBQV7mPH5mZitMsSfQQlW5z4ixrS5/GnNjmyJpVzvJcS7Pj7IntfOmWxYkZ%20nKx5MhUZbSS2w4m2p01r5SbrOPkiIjutiXxcZLONmjTvttlF8Ukt+hJiH/PZXY7vrI8SK+zsmZti%20ZilX6Jhum7HF1KVTvYePeqyFEceB8OlB2SLmwsPDtqakzSD1mXD3rMNtuqZN92gVoFWOvSte/NF0%20TGO6JvaefkRdb24rrZydGJIeyC55UwyluO4AFgagfxrj5PE5ss1yTq+ezeCz574vy3Vnq9n9rcII%20jRUrlpV+m78O9x8qz5+Lnm37dsx9v9W1yOByZx/axaWR+cvF2BEksl3IMNh7oFdkAfGtvx/DnDbS%20ZrLe8V47+1tnumuSd0MxheNzJYitPOLSo+Z5BO0fjetzLfNltbYrc3+RknHZM2x3XQ4d4hG++LTD%20kkR0DQqJAUL+N61cOTP3RbNsRG8y0MXJ5c5Ii62It6z/AMmS3wtht1DrM97ek7wCo2/vroXRWKRp%20pR0rpmYosKsjlnkqiSEhbBG0rGlx46V89Hh74yVidPXr8XyseByRm7ovmla16uoTtKtyt3dAH5QK%2072K2bbItmazHX1fTYMc2WRbdNZg6HWwtrbwHjWRl2NLdvD+NAUlK0FC07wdCk9ql1sTFJSbYmKTF%20Y9HVlhtobWkfw117Vjtx2WRtSHi3HZjjSIth1QNuax5N0/qWIPjcVlq910bMcB1122NyaK6nbYLt%20f+W3xpFRgZvC4zNQ1RZyC6ySLpHiDcV4yY4viktnicvJx7++ydUNK4FFjJQ9gFmFLaACUgnYojxv%20WK7jR/LNJh0MPmb6zGWO+y7erviuWK+4OJz7aouRSdqXlCzTxH8iu9THmmJ7b915Xjbb7Zy8eYmy%20lZt6wsEx11qG7JYQVPNouhHc27VsTpDj2RE3REtaQPdnJzM43BciNtAr9NbhJBtfwrn2827upMPs%20cv7ZxxhnJZdMzSv/AKNoq6pAVY2CreItXRfGONVHS6bHX40iRW/cHBLy+BW3HKhPY/Uj7Opt+Wtf%20k2TdZo6vhuZGDPF130zuonBo07is77zOsOstvgpDwuoD4rv0rSwWzinuujSX0/lc2PnWfawzHfDb%20ceTGlth2O6H2HU3C0nQV1Lb4uisPh82G/Fd23xSXp18ounbbXxFVjc2ve+oOgHh+NB1u0NpvonQH%20wpUc3csdBe+nhagj+QZVOHxTs/01LbbIKwnU6mvF99Iq2eJgjNkiytKq3g/dCDmsu1jo8VbaHtBI%20toCNbGtbFzIvu7aO35D9uX8bFOSbqxC6qCN9j9SdQBW5WkPm4dfJbyq2+odFfGldRzoo6g+Q6GgC%2031IsQo+Y0A+Um91BR6eFIgL+YkG+3qgUgdtqwQSPLbUnrSISroSgpG4bRfQHTWqrt5txuBbse9SZ%20GLOycPHN+pMd2N9VOHQJ8L15vvi2KyzYOPflu7bIrLDxnJsFk5Bi46UHHvq2ggk9zavNma27aWbk%20ePz4YrfbSEqqwJUpXlOlqyUaYAAQlJtt6p+FIkFABJ3m6Se+lqDsCoK/pt170GMwENcqw7iUhKgu%20wIFgdD1tVO6W3nGm3Wyh1AWhQ8yVC4P4GoRKJwvEsJhZkuXjmPQXMVudSknbe3ZN7CsdmKLdm1n5%20uTLbEXzXtTNZGqUCgxMvjouSxcqBKbDrEhtSFtq6G4/30HxZADmM5FlOPz3Ul3DIW2kqHmUgr3Db%20cdPNaoWzo5eaM6bjHZqAErPrNRSANiUkpsq3j1qLuzF4yKne806uChNy4psgpt/xXpOhSEC3Ezkn%20kMqWl0uw0ICXGh/mnQbQnt5hVEjkcvj2MQ8GyWVp8ioy9FncNU/NVFrRGSl5tS8XIjRktqdG0uvX%20ulnQKtb4URgZWQ+t6YmOiLbeyh5tO421slRJ7qpBMKZmsHIRLQ46A0qQpwJQP6Oh/GiUYTmCWiH9%202p9tCLhASq9yomyrWH5aVHMrj02MprcUqQ+CWHE3IXYX0oI11t1te1xJSrwOhqjpQcgkEEdRQbc4%201ylcri37zKjJnZPDSEtbGh+qIm25cUNBoo2qbGnVuzhWBzD+RkOpjwchj8iwJWCeyClodjRQAl1s%20elt/5tzrVqUR+CY5lxvnipxlpj4HKAxok7VTQcUQNLgnaCD2odKws3GOEycByCdil5+UmFmQqZHj%20xA2puyf8y+8fmUq9KykzDC4dxvHYrC3nxxLZkSpKYchxStqVeqRteAOhUelqLNemzI5dHiI4dPY+%20yaZSuXF9VtN1A2UbaqubfKk9CJUOXh4E7Iox7SDEDSA9JdYJuABubAubebvQR+fk5UwFx8TNMtpt%205lJecACWVFYASqwHQ06HTRKMYfJNs+hKyagrcp1xcaxu4r61K3DpQ+COn4TG5KBIcPquQWtHHF/V%20JWk9bdNvfSh8UpBxmHXjoVoDRJYTdN1WB/jQ1eX2GImPrhRoLSWSFCVKSVdbHyo1601GFgcBhTho%206PSWG0EpCQTYC56a9aDJOCxS5KYMVtX3LgPqu7lbWR49fqpEnRg8a43hWcIloNqU4pay4+SbuEKI%20udafAjRnP4bDsPJjojLdnuD9BrcbD+tev0igw8JxfFNOZMPBb8tp5u0pZN07kkkJsbadqR7JWqRl%20xUx2krcyc1ZWdsdhAb3KPSydKQtEbGwkpfKHpU/Iyg42yn7ZFkbmrp6KFrXNKFEouAhAW5IzEtCR%20qpxQb/EDShSURKxK52axTz2Slpx3632zSggL3pT9ZsOh7UKpr9sfWq4ystS0i6dwbCdNdbDpShNU%20LkGOR5PL41pOTSjHeosB8fUtaUXUkafTQ90yY+fCLJyDSW06NtJ/l8OnalTqhuSt8ikR24rOVQpp%20D22ZMT1b0+lOn1UITRg5tlKY8fJtIbbtoL36denWnxKo3kC+QjFzo7OQakOLbu+NdqG7gHdp1pGh%20RlQWMxDYBYiwitaU+q8tThUokClR2lTs+01s+zguOvAhttJc3behX8hSIGFx5vkTONYkPNwX3iXU%20NKJc8iCvzJFEqz5U7Nx4q3n2ISUlKghKC4VK/wAN6LDAwyc4uGxMlRWJTCVr+1jRyovIUT5lKCrJ%200p0KpQT8olapDmJkpaaIW4shNrDUnrSIIQWGm5HIyMhfGPKxweMhttNtzpWq433PQdrUVOfe5UnT%20CvDzHy2FrH8egoIFvMzpnJ5sAQHIzCmUNPvuaJKkqvtuD9NWKp8E8pGYQjc5JjY1mONqWmyqwA+Y%20OpqEQhIOBk5Dkb86fkJJkIjByChW0JSjfazgHamkG2qRd/fZz5SpbE7Gx/1H1rJG9wabEWt2pK11%20Wb2wzcZ/3GadcQ5HagQ1IlPOizaVbwQm472olNNG1ve2fmoXtjmcjg5So0uLHU8l5uxJSB01v1vQ%20V/8A7YcjyHJe2UedmZRk+s4v7YqtcJC1BXQDqdaTFBtygUCgUCgUCgUCgj89jI2RxzkeQVpbtu3N%20khQt4WIrFmxRktm2dmLNijJb2zs0Tz3FpTkmM7h4b5xyf0FoKCTuB6m9/CvluXirpjtm22Osvief%20g7v9KybbLessPIYjHZGMxmMW/wClllJ2uQtqQl0dxfru0rc8dz7Ij+pdXJPT0dLxHlMVkUy3zN93%206IhL5S6WJLaospP1MujaSf6b9a7z6y2KxWNnt0/CiAtcA/jQea1O/aPAtBT4N2rE2sO9/GtDk2Zs%20lbLdLXK5+DkZq2WzSx1jLklhK5a99gLIPRN/jXjgeOtwa/zSx+K8RbxY751v6y9lkJaU+s2ZT9Su%201b33rK0rFXUjkYpn6o/NFfu82StSMdHUSk2DywQLeNZ42Zaw7IwLsg7slJU6oHcEjyjXxtRKpRpi%20NHTsZbDaQfAWP41Ud/MRsSLqI0QT3v41Lr4tiszol0xEVnSGUrFzPSEhSAUDVKehH4Vox5LD39ld%20f0c23y/Hm+bO78ejEuCO+29gPhW7F8TFejoxdExWJ+VlN4yc60XQ35BoR3PyrUu8hhi7tr+PRo3+%20VwRdFta109oY2o1tr+bv00tW5bdExWNYb9t0XRWAeN7+B+BqqdTqLjw7ig7tZCVCJcYZTICjcg9r%20eFcfyXCzZdbLqRHRwPL+PzZp7rLtujFcmypGZxsl9tLbi3gA30FioVn8fxsuKJi+6ts/pLZ8Txc+%20K2fuXVif0bOc3XO0XN+hrous6m6Tu1KdAEgUHPmBNgLW0+dAssp67VdyNaDHlY+HLKfuWUuemdyF%20n6gr51LrYndksy32V7ZpVkggjTUEW/C1qrGqL/thxh2Q9J2q+8euoruRYnvYHStb+1s3dm3z/Ji2%20La/S6IyHIONrTHy152L2/pzWxdaNdAQK8RN+L/utZ5x8fm62/wBPN19JlZ4OQgZBkuRJCZDahrtO%20qfgbVtW3xdFYcXPx78V3bfFJZG5NgQNwOlxXthcPttPoLD7YcbWCCFAEW/GpOq2zMTWNFTl4LM4K%20UZnH1ByGsgPwFnQ37p6nStW7DdZNbPydzDz8XIt7OTvTS5aWVrcYQ48PTUtI3N/ykjUXrZis0cS+%202IumImsPQBG4W+pA6eF6sy8lxcjb016daQAIJ1Nt4sEGlB4zIsaXBehvWLDqShXe16l1tYo94sk4%207out3hR4ftScK4ZmHnKE1BKkIWBtt/LretO3h01tn5n0eT9yXZo7Mlv9Od0xheZ+tIONy7P2WTRo%20VuaNOH+lRrJjz0ntv0lqcrxUTb9zj/PZPTrCzKI6JsVWukdq2XEc+a/9NuvxpI4IG1QWAEfDwoOQ%20DcEHy26UiR4y23XoT6WFFp5STsVbW9S6NHvHfFt0TMViJaTx/MOWI5C3FkSVhDL+x7cPL6W7zXPy%20rjxmvi72q/RMvjeLfgmYj5ptr+jd7Mhl9lDzS0OMKA2OJNwTXXtmsVjV+d5Md2O6bbo7Z9JdrJ3K%20sbLI1+HhXp4RfKcC3nMG9AWf1FJJbV0usfTf8ax5rO+2YbnA5U4M1uTpG7XnG+J8m4b6mXdaElDZ%202uRm/MopOhINr1oY8F+P5ur6vneU43N/ozPbb0n3bHweex2YjB2MQ2v80VR86fmDW9izRfGj5Xm8%20C/j3Uu1j1jZIFQCVqKT5dCO9qytJDOcx4wy4I65iUuA7dhI0PxrDOe2u7oW+L5ExWLaxKYbWHUIW%20hYKTqSnUGs1WhMTE0ndjOqKOQ4qyrLU4NBqq2vakI3Gn6R8qDmgUCgUCg0X76ezT86T/ANbcXjh3%20NRj6mQhC95LQGu0DqupqNLHMY6ZkI0pl0rDDZDzNv1UqCtU7fG9Fqy245krTLmJNmzuZi9AkeKqg%206QXksQVTHiSuUtW1I6qKCUhIqnuxcjj1T52PTkQFgkuNsI/5e06X6f21CIp0eE7JZD9+h46EWnvS%203j71wkJRciyFW0+AqiJbxKkOT0ztkMKdIhOtkkOPOKO5Qv8AyqpAjZmCyDkJMIw5k6V62xragbVq%20KrLKD1uasRHU1bH477OYxuFHk8iysdGMbUlt/GMm81lb5CLOJUNu5JPm1pQh2y3A8ZhfcVGHwkdq%20dBRFCMdIQVLR6tlB5ThOgcSjUgaUrH4orHuDwnZjIe9pp2Q8+qG3mlkpbS00nePU26X1t0pM6kat%20VycKqGqUJG5xplRaaksDc0pwW/MbaWoMONEW9JEcqS0s6fqaC9BuD2ZiZMZzFtBLGLD7l20SLhuY%20ixB33CvLfwp0VsuLD5BKyyFRojMVeGyaIikMrcKcgw4kuKQnd+S+nltSiNgTJcdbsKXGKVuQpjUZ%207Gq6socBUreO3zpBRiZ7LnDMxsm2hSsfj5zZukXdjNrJU4nX8izrrRZl2496s7jsSZFbMrFzHpS1%20bbEFK3ST8jrRKRWUD7k8gx2A4bMayUhDjpkxnMWUG6lJbUSps/FGgoTEViVNx7bcvGtKlPoZhylF%209xAUQ84XDuAc8Ep+FKrs9M89BYwCwH2WojL7NwD9ICx08fxolKS9nREyRS6++23j0+aMyVEFz+tV%20ux7UIq9J70VeNfAea2ob0bvbYB/uoRHViQZichjISIshpvHeglL0wk+ovrogdLUITUKE4hDSI7BD%20aG1BCUakix11NK01lJhCYJcl3FMxscAqSLpdeGqGRc3Ov5qQqagYxUUtMstK23JW4q25arHVWtEp%20XdEYcyG8OyzHjl+a6XA01+VI3nzqt2FHqmqTi4yTFCtw9SQ7b1pB6n4fIUSqNhvJjKyqwkrUuQyl%20lk9XFbSLD8ap1oyWIy0uqlylepNcFrH6Wk/yI/21B5OPNs8ilyH1+m0lhseKlEo0SL9z2pQdkQlS%20iiRkGgRfdFiXI2DstX9RpUJiiMzjHXlemlKZH6lhbRGooVddsjIo3KIjY4gfppv6j1uhN/y/Kg5f%20v+74hCQENIU6AOyUhs0SY0dVSZUwLYhAoik2engaEfyt36mlHqXTMoaax0VlhsobS8EoSPzG3XXq%20qiMyfKcExUSCQ5N09Rw/Sym31LpQ92LPYbjcfyDLepLBLrp+patw1ND3ZDkpUVphCUb5rjaTGY/m%20Nh5lf0iiaT8HhKjKjYrJPKdLk9xhS3ZI8QPpT2sKLM9HsmRHjY+O84m3qNoDEdH1OOEDRI+JoDEZ%200OOzZVly1NKGz8rSCOg/qt1oS8cU8yzg2nXl7G0uvHedCbq+kfE0kpqx8mHH4X3EsKQp9SW8fDuR%20os2UtevUg3p8CjLlxHWo0dUVP+qxybenqA4LWXut4AaUCROXIajNQVEvz9SUkkMIAud3hcaUKPOM%20xD/cshDKUuQ24bW5JJ1IWbqJ63pqTE/ix0Cff7k+lKwUU/6RL5IWSO429U26Xoez2xON5lyjISjg%208HJEaQyIy8nITsZNlbroKT0/ChRtzjHsXDbDD/JZBnFn6Me2bR0/8Q2rP40JbDTxXjycUvFJgtpg%20OJ2LZAIuk+Kvq/toNfc149yLC8Uy+LjJczPHJkZbIi9ZEcK7I6bkj4mgs3tLDxMDgmNx+MkJkMRk%20FJKfyqUoqKVfEE2oVXCgUCgUCgUCgUCgEAix6UFa5TxWRmDHZYfEeGDaS2kAXB7j41pc3izmti2L%20u2HP53BnPbFsXdsV191c4Z7SIwWfkZKZI+8aJvFaIsGz8q18HiseO6Lt6NTjeExY74umK0dPdVzh%20ysb6j7bLssGyltqAWhH5j5e4rLzPIW4rdNbvRm8h5O3BFLZ+f0UDjvAcjyBpx3CyS3GR9Ljguk37%20Am9Y/Hc27kWzM29tDxPk7uVbM3W9tGHyPjfIeNpQ5kUtSGlqCCpCrLT2vtA6VscvlY8MVmdfRtc3%20yWLBbW/6ukM/D8E5HnAleNWG45AKnXAB18AfCsfC5s8jWLe22GDx3kp5VZ7Oy2P1YPKeHck47Cfl%205EJktpUltgp8u4qNugrzzbsnbNtmnu2s+HPyIusxaab/AOCJxhclx0Ge4GWgqxBtYW/mFc7j8KON%20H3r4m6fT/F81xfHW8S2cuWJuuja3/FMvRIyGEmE+2tQJJAIBKe2grNxvM233UujRtcPz8ZL6XWz+%20DBBvb+U6q7613X0Z2+I118TQcjRQ+Gm7vUutiYpOyXWxdFJeaG5aV7hJWtpX1IPhXMu8Th7++nvR%20xb/B8eL/ALlNtaMy+D+zdUiSfUA6EWUn4WvXOt8vdjvtsmyYt9HMt85dZkiztnsjTsYsd2elYdbl%20H7cdGz/fetufEYss98ViLt4bs+EwZ5jLFYtnoBO0HzbiTe/e5+FdfHjiy2LY2h3MWKMdsWxtDse+%20lza2ncHrXtlcaAWvfxPx7UJc3IOhv0HhYmisWY4U5LFqJsfXSCVf4hRIleeScoxGCcbOQK0+pfYp%20IuB86w5s1tn1N/g+Ny8qv26aHHuVYjPsuLx7ilelorcLH52q481t+yc3x2XjTEZOqSckR2vT9aQh%20u97biBu+Ve7piN2rZivv+mJn4DEmLJ87LzbuwnVtW7+NqsXROyX4r7fqiY+L0HijVKjdRv8A3VZe%20Apv5SPJbqNDegbid20eYaa6XoOHm2XWSw+kLac0UhXehGk1hi43FY3FtutwWS0hStyx1ufhXmyyL%20dmbPyb801vmssskBNgQi/wBJ+NWrCaKBQb+BPS/yqjlBunQEDpY/CiUL7iLWUnufjRXAKVXB0Krj%20XQm1NQBOzyDobWPwpMDk33EkCwGh70HAKSNBr12n/bQcpUeh0X1IFBgZrA43MR1My2huULJeTopN%20tbgivF+O26KS2OLy8mC7usmj0xUD9uhtRS8XggbUrX9R/GllnbFE5Wf7t8307aso+K9Ak3Sb/wB9%20etoYAbdxFj5tSe1UAWyoqJ2lA1JNhappJq5BtdW8FHUEdB+NUYruJxbwV6kRtRdSQ66AApQPyFee%20yK1ozRycsaRdKrSsFneOyvvcIsysUg+fHqN1C+pKepNa1+K6ye6zb0drDzsPIs+3yPq6Xf8ANYcJ%20m4+Zil9hC2HEGzra02II6jWs+PLF8OXzeFdx7qTNYnaUiQkLOhusWJ7VkabkEX2WJAHfUEVaitZ/%20hxkK++wr/wBhlEkWWPoIvqCnp0rXy4IumsaS63B8rdijsyR34/RPY9uW3Daalr9SUhADyx3Pc2FZ%20bImkVc7PdZdfM2aW10af5bwaXJ5Ut3GEyWXlb1+mN2xd77VAdK5uXj92SYh9b479y4sWD7d/12/w%20bAwmTmvuRMHkiMA8pAAW+AEr7eUrtetrFmpHbdpLk83xk5JnLg/qWzrMejavHvbzD4p5MxxSpc63%20+esmwP8ASm9hW04crXQKBQKBQKBQa75n7HcO5FKVk47X7XnCLDIRxqR4Fs+Tr8KStWoeU+z3udjo%20T7EOKxl/WBQh5tS95HisADb+FSiVV08L5fiC0cnx+a5KUjyrZbKkC2nQmmyzPWUVnI3K8c+zlJGC%20nMwJKSyj9L9dV9FWQTakFVt4z7YTcs2/vykKAmahAEHfeTqnQLSoeVRv2NVE3A9mOJQYruRYlyjO%20gNuxTGlpSG0OvDZdJuSd5HkqTT0WU1wxw5LAysZJYKOSY9FtjjaUr9KMLs+kB9RNvNerKUo55dh4%20XLOL4+DkEBqTkVt+lLR5FNOx1Bx5K9ttbaG9Ig6s3KzMFFlYVnKttRokTfFcfWdjK2AjahYdHmLi%2072oatdZLiMfBT80uRj5U7jhb+/wO4Eqj+qdqza9iPTHelCin4/jXFEO4yPCko/bOQH7wPLN3EpN/%209OpJuApO29BAZTE8ekcqmYUMyEoelFEZ1DY+7daCLhSm77U+YdqVqqVi4KPJw68K1IRDzCIR2Sn1%20lDigHRZu2oSe+lPZPg2ly1HMcVjuM5+O8jIowslmJNgnyOncgrs4lA8O/Wipj3Kj8tl8T/dI0qJj%20n0FJjNRVb0u7hu9NalDd8CeopRIZ2KGT5Fx1LecyK4apraIuRgRm21qCVJ2+fcARuAuDUkhEcJ4n%20jMLhDiZaHHft5LgiyvUWlAC1kobcsbJUsdKtDX8HHO4WLRiscUY5ttwy0pUoqUuxC7aBd6GivysZ%20hVOSH3oaQlJPquKWpIsPAA2F+1KymqBzeFxMvGtyXYQajofZMWPvXdYKx51C/cdKVXqnXMThVOKt%20ATpe91rAAHXvpalSsojJYnEZHHyUNxQ3jEDV0LXd5STeyNfpoiQx+Jwxx0DbASnfHTYb1C3Xtekq%20xThcbLlmJEU4hLSVB+UlarJsD5G9dTVqQx8HgsYrCsEJcBJIXZSk31PWx61CWUvBYwyTAihxUlaf%201HS4uzKf5la/V8KKweO8bxKMUhalOuSVFYckb1ArAUR0B0/Cmias5/E4uI4kNokLmK1jpbUpSwf5%20ykm1hQifyYeDws4TsrLlZh0zittLim0IUAkp0FjoCBQjTSElJiCO0Xn81IQ3+Uem3uWfBPiaQVRj%20GHmv8pclzco+FNMoMRstouhKk/nT0uaSVoljj3QFuu5mQlCAVOOKbbAAodaId/GzZeZxT68k6uD+%20qqE2+hKLqSm5Wq35VdqFdU0WuRuLUfv2AetxawSNbdOlKym6Fno5Jk8vim28g2iEHHLvpt51hFyk%20afTR6omS1yFKUBEplCE/QhFvLfTwo8oXkv8A1M9HbhsZBotpftLmJtZpVuidPq+FIhUyImagpKGl%20R3UgguMqUfObdSq26pWBgZ2fnf26ZDTj4heWwS6UOLPpJuNV+FUe8EcgjMJW9EhvzXUD1pXqr1Ft%20AnTTSnwNJeWdyWTj4iR9zAilLzSglLTiy5boVW8BSCJ1d4g5Cj0pUmJCekFpAZ/VXZtBSPh1IoRN%20YeuRy0/GwnpeRgNFlKCS1FWpx/p9QSbAjxoRKP4zOamY+M5PT9qfUccgxnNEkKNwSf5vhQSMidE/%20dg/Ke3RYaDta03KccFiEDvY0IcvT8l6BejtfZosdj0jyurKhZISnUGkDGjQJWIi+u5kEplTAHZMe%20SAhBJ12JKRcWolapLjvC+d8wyDzuNx37Xh3G0NPzZe5G8tq3Xj6HejwJou0twcd9lMNFkNzs68rK%20zEAem2obGmyP5Qjbf8aDYzLDLDYbZQlttOgSkAAfgKDvQKAQCCCLg9QaDCgYXGQJEmRDYSy7LUFP%207bgKIFgdvQfhQZtAoFAoFAoFAoFAoFAoIGRwfjUh1516KHFPm69xJH4Cta7h45u7pjVqXcHFddN0%20xrKTxmJgYyKIsFkMsJ6ITWayyLYpEM+PFbZFLYor+X9ucJlUSETFOrEhQUbrUdvy1rVycDHfd3XR%20WWll8XhyTN10ayn8RiYWJx7MGGjYwykJTc3Jt4k1tY8cWW0jZu4sdtlsW27QwOXYHHZnDOszklSG%20R6yLEiy0eYdPiKt1kXbtrDyL8U1tmlXzjCCXWZiXAFI+7dFjoLBVerrYnSWC+ImJidXq1FYZUVtE%20gm4v2+VYbOPjtmZiI1YMfEx2TW22NXp2HgBe3b+NZmwX0udB017CixBfofH83xoh01HbXr/40oPM%20xo3rKe2efv4H8KxzitmYmY1hjvw47ru+YjuevhoBbsP91ZGSkRpGzi5tpoT0vQAWkuISu+w/mTqQ%20O9eMt022TdEVp0Ys982Wd0R3ezJCsM6y4WHyt9AN9Op8CK4OLy2a7J2zY+awedzXZaTZWPT0YqVB%20RJH1ADcnuL19DSaQ+pitImYow8indPxWlwJCDYnwUKLK5894oOTYkR0uelIQsKQ4U3Nr6g1h5GH7%20kUdPxPkI4uXumPlVzBYHPcGStbbScjGd/wDcbAAQkdLWvWtZhvw6xrDscrn4PIzFl3yXR9L15w23%20yjjyclhHFiXCJ3RxcOeBGzrVz0y2Vt3h48TF3B5PZl+i/r0/NUeKZnOcTjPTpcNwiWkBtLpUlKje%2099RpWtiuuxRV3fI8fj8++LLbvmt3ounC+fZDP5NUR6GltKBuQrdt/hprW1x+XOS6lHz/AJfwFvEx%20d8XVmuy8lGitivq1Cutbs6vmoDcKF1aHQJ+NKjiwCdqRuKegPjSuo5urcBbS2p+NBFckzzOCxyp7%207ZfQDYI6AfM1jy5Oy2rc4HDnkZOyJ7ULxv3KxnIMl+3xo62VqSVodNyDbrWDDyrck0o6fkf2/k4t%20n3Ju7rVvABIUDcp0v2rblwHA8yfL5dddP40qG643JTcg210qjnzXI7flVUgcWULHd0Hm+NSgAklJ%20A+rqToao5KHQkqKNb2B8RSmmqVgP1aq0IsE/GiuNAmyAFFGgB/30HNiTqbpt9PxpUBvISLAEnXXo%20KDUXujE5JHziV41chceWnVLRURfpaw6VzOXZdF2nV9x+3c2G/DMZO2ts9abLf7eZKOcHHxkiSTlI%204P3DD31WJve510rZ4uT5aTu43neLM5pyY4rinrC3KA3JSQfEEdNK2nAcgqSVKvp1AoPJDMdHlbb9%20Ped52i1z11tSIWbpneau/wCoU6+U3+elIRw4tDYUp1YQ3b82n9tBETeTwWG1IjAvvJT5R0F/n3rH%20lzW44rdNIY8uazFHdfMRa1Vk/c/lMjIGGq0ZCXggi1llG63z6Vy/72bprGtr7vh+B4XJ49uS2vzR%20WNX1Hw3B4JjER5MNlClPoC3HLhZKiNbmurZMXUufGcjB9vJMTGsaPblPCsFySJ6M9geqgfoPp0Wg%209iCKmTFbfGrNxeZkwTWyaMThGA5JhEPxMpkf3CIk/wCkUoWWE9gTck1MVk26TNWfn8rHmmLrbe27%20qtNZXOKBQKBQKBQKBQcKSlX1AH560GvvcMsDkeGbdQFsOMSG3Wz0KFFO63xpOwr7wYdJgSYyH0M3%20Vj3/APKU4kfl3IsSW9BRKeqIVh1QeWR8lBK38e0ypeSxq1KV6bm26HTcknabkXpVY906pDBzkaQ4%20sNR8w3vjy29FpcZTuvpa+6/mFEjZTonKn4PuAnifII4ckAvTsY0xdSHRISf1FK0IKgNR0FNlmZTP%20L+KpzuF+2zgKfttj8LGx/MhNlAhz1NFnpqDUGPzzOScVxLHzJv6j2xDbcxsbmnWHDsDKh9IULmqV%20hAZzGz8dnOLpxOFtiWdENyUemGFbSfUSQCVJN7a0NZVqZFy+U5nm5MRhjE57HNmRIfJ3JkxtE+Tc%20LJO4/loVj8mBwricnO5NWGXF2ZN2GqZDybilAOuJdtvZ7L8LdKVIbDy+Y5TjMnxaTJYZyLWamNoW%20WzdTshsFpKnEAWSAlNqTNDVPtNzWubmFnoSG8G7Fc2sxlqejxXyoFPrOGxTfU0k6veA467j4clIC%20sm2t5D6T5Q82HCGkKt0JQBt+FWtJO1zBdhTpnIMVDaccjBUdUuNb9ZlakEkgddO1SF61Vv3MysOB%20Cw2PyTqEvesCxISf8xDahtQsdlgafE0jTRNFZLDEqT91kHEAhalMRd5CUC/lUv4nwNCPR5cgkRRh%203HHJTSW0vMlZuOgWOnhQh6uu/uHVxuPjL3QpK7uvjsSOyflQjTV6TlR1Y59LTzSUpTZCEq+kfAVY%203WIo8YglzcbDjwQr0UsJRJlJFwCDqlB7mokpWNBWwpDTLKkNJSpKNNfpPU96RCboTCGYcTHjQR6s%20s3C3OqWBc+Y/1fOkLomcfjlxChpptZ6qdfWNVqsdVUSlUPh1yGMKwlllT0xa1llu3lA3nVXgn40o%20rOhR1MblFRenPf5zx6/4Ujtam5vOrDiPNxF5da0qUpb7KWWgPMtZQdB+NNyI9WQzDWXTMnpDsvQt%20j8jI7ADoT43oS6FxDfIZr75/STHQTfqVFGgH+yg4bivSy1InFSWEkLZg9Ae4Us9fwqku0qxzONdK%20g22gSCo9QkbOlugqETR0C3cggtpQpjHmxU8oWW8B0CP6fiKFXaQkDLYZtAAaQp3alPRI9M0TTq5X%20IVJcMaCsenb/AFUr8qB/Kk91UorwzDTLGMjx2AUth8bdL3NvHuaQQzp0taZYjRbGc4AST9LSbW3L%20PY0GHPjCLgMkhtW9a2ip95X1LNxr/wCVJ1OrKdkiImO2hCnZa0oLEcj6hYan4UIiu7xlY+S3h8m+%204n7iW8wv1nyNEi30pHQWoVcty1lqOzjUJkSA22lxZP6TZ2j8383wofwY6oLbsl2Op5UhTSSufKXp%20ZRF0NpSNLHpSpMkWRs47HaLKH3HXnUR2PzCyrAg9fLQl4s45vCKSYDodnOlSnoDtlrWo6kN3uflS%20JFq47wDnXKsi1LchHCYxhI9JyUCHgtYsspaUClQ8KkEQ21xn2h4phSH3WzkZ5O5cqRc3P+C5SKqz%20K7obQ2gIbSEITolKRYAfACiOaBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKASB1oIjO5fHMwpDC30h1b%20awkDza271r5OVjs3lr5eVjx/VNHzbjkrSmUlQIV908bEdt3W1Z4uidYZ7brborbMTEso9iPEn8D0%200qq4Pj8Lfj8qDuZhhj7gx/uCgfTe+vht71z/ACGHPfb/AErqf8erl+Uw8jJb/Smns7SZ6Z3pONxg%20wUp846CtbxuDk2a3z8np1afiOPy7Kd8/JXq8tdt7D5H+Wuy+gD1OvX+z40C/Q/iPlQDp26dO+h70%20Jdr3NungfA0Imk6PNAiR3FuuNWQLXKNCvxJt0tWjzO+y2uOKz19v+bm+Qm/FZ3YrI7urLkzcY+wl%206Em1rBZ/MT2BrmcHlcm67tmJmK9XI8ZzeXdd81tbZ3meiLmp3S8coeUh4EA9fqFfQvqY9m0kk7Ek%20dbeP+2gbrJG6wv1SemtUV+bw1hWS/c8c+qHK03oTf01eN06CsF2GJmtujp4PK3W45x3x32z67x+K%20XyGLh5LHmDPbS62U23WsQfFPhWS6yJijSwci/Df32T8zWub9tsxiHkSeOyFr1uE3Nwe/4Vz8vEm3%206H13A/cVmSOzkRHxWPG8ulwVMQOSsfZSnUgMSQbtlPx6AGtizNdbpfDl5vGYs9b+LNf+2VtbWypt%20taDvQrVtXX8b1tQ4ExMTSd3a2vlIFj5/jRC24K810q6W7UGDm8Y3l8NJgKISH0FKVKF7Hpe1eclv%20dEw2OLnnDltvjpKh4X2wzeBKcjClJfnx1fpM6JSps6qB161pWcPs1idX0nI/cdnI/p5LPklasJzC%20HPkKgzEfZ5Zq+5hXlSfkTa9Z8ees9t2lzlcvxN1lv3MU9+L9fyWBRSCCfqGlhr1rYchzZV1a6H6f%20hSg4VY2Qq9z3GnSlQBTvUdb218KRIw8wmYrEyjEd2SAgqacCd1rC9rV5viaaM/GutjJb3fTVp7j3%20MuTvcjjNzJa2WUq2upcBCdvib1ycea/u1l99zPF8acHyWx3UrFJbsQttaUqQoOjbuDidUn5Gux00%20fnUxMTSdJcjWyk6A6qFtTQCL3ClaKPl7H5UHI+rQ6AWKfjSg6kBQG5KQ5+W4CiKFZQvIOM4mc2ZJ%20vDlIF/umRY/8QTa4rFlxRdFerocHyGXDdER80ek7K7gefIYnJxWafQ4CS3HlIUBcXsAoDvWth5FL%20u2XZ5/hu/F97Fb2z/NHx9F9sCErQd2nksdCDW9Evlpim7ykzI0dP6zyWldSi4Kv/AE0qPOF++5hz%200sTCUEE2Ep7ypA+ShUVZcX7YJW4mRnJapawb+ijyI+GgNVFW9yONQYmZjSIr6GYyQlpUZAAKb+Uq%20JHzr5rzlkTdFbt6af4vkf3Fi7rrYm/5fT091pwftHwpDDct1gTpDiL/cr7hQ7A3rr8Th48dkRbq+%20u8XysuDjRisvmbN4QznHeV+38l6dgVrymCcVuex7hKltD+i9z/CvV1l+PWzWPR9FbzMPMiLM3y3/%20AOb/AJrxxHmOP5LDU9GQtp5o7X2HAQpCvDWtizLbfs5fO4F/Huiuts7T6wn6yNEoFAoFAoFAoFAo%20FBqn3j5Fh8DnePSsupbcJ4rjl1CdxQtxSQkkeFCdIqjPvMG80ptx2Z6XqB+G4hi6itJugp1+k96G%20sovjXN8ZnJmanuPtYrKtutRl4uWoNLcSyopDoSrU+r1Ip0NEllw9BxSFquvGyJaXWpTY3COsrBdR%20f8qV9BVhYmrym4zD8gzczNNhH3TDbTMNQVbyNqO9IWNfMnSpCd1NWfHYC0vSOPzXIiCh5tUN9IdS%20h1LZ9RBdcJULDoKQTGuqtcKfj814dOw+Z3uSccFsxoi0bFNtNDciXYdSo6WpJXVk/wDUwwPFeHuc%20hKnIzLiks5FeqXmyhSUodvolVz0pNDWqMysPGYBuPmM24mXhMqs+qYivUdilYO1BULKWi9vqNKiM%20xmOlcdw7M7lWNcLODlf6qfHccDzUJYKgstp27RdY0vQonMVClQ+Rzhlm3XcBmohd49OZSXDHbNvO%20pPRte6nsJfi/K4+TyWQfIMt6U4hpEVobw6G0en5/5Qdupp8SY9UdxBvkDM3M42S4MLi1PCTjXmgJ%20fqqRfchK3LG4UbWFK1NHTJYFs8ygZpUl+aZEd793cReMr02rJDhQ2bH00+NNzf8AB4e4mD48rHYh%208Qd3+oHouF1bgWlSxtVc9Dah1V93E4NK3XHo21CCS4tTqrC3alSsoLM4bEzsb9y5EU1DQ+z6DPqK%203OXWLqUOwPakrKdXh8MVm0Qptew9RVkgf3AUqmqLyOJxE+BLSwwpqE2LuSEuK/UUD0SfD41B7weP%204842FZTqQphKghDi0gqPfQ1T4PJeCiyXVQYcp9s2UmTOS4taWyBfai5spXwpstZY3G+NY1nBM7HH%20/VWT9w5vWnebnU2OnyomrPcxENqUmNF9aRNULhCnnAlAt1Wb6H4U0lWFx3AxEY5qWHXmsipSgp8L%20UpIG49EE7aJX0STzK4xSHc26X1/5LCWEb1q7WF72oI3BYXKJn5aVKyyxNDjSVWaSpISpOlgdAQKC%20TchyWmlPPZpxLKfrPoI1PYDXVRpolfZFR8RkpHJ3JszLKHpspMRstJBCSnqtHj4XpL1RL/Z5AJL3%207spak+Y+o0hCQBrqe1Ej0Q4b5NkeSuOPSGWoTbKC0jy/q9dTpoP76Ca9PlSlC0uOAnVKbI2pT/Cm%20hMwhcj/1NPzGMYalsiIHXAqUgJG9WzVCbDp8aLSiXRF5C236LD8dtoaJQNp18Sba0rEJVFcjkcrD%20LEeK5HlKQ9d9ZKUobVbpcD6vhSRKJXmIpU3+2x1ursqQ4X1XUu3W9unwokI/kWVzLGJnR/2plcl5%20g7W23lLUgXGqhbQUV7YROekxwp+YhE9aU/cAJSp1pIFgG09xbvQljZvGNSI8+K1LeckMMqcmz7lC%20DYaNBAO25FVYZioP2ePY/an3Ic19pP27KUeruc2jatW7sO9RIl1hDMY9Ax5Q3mZsnV9iObveorvt%20SL2BNNBcuEey/PJrAk5uQ3iEqUv0WmwHXEtLPdKgNqiKJOzcHFvbfivHEXiRQ9KUB6kp/wDUWpXd%20Q3btt/hRVooFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAIBFjQa85p7fZOVJcyOHmBpwjctlwbk%206a31NcXm+Hty3d0TMS+e5/gYy3TfbdNZ6dGoULmrVITKWhTrbykL9NO25SdTp410eLxrcVtImrrc%20Ph28eztt1c28OnX4n4fhWy23JvcdLnX5HvQEqUnUaXGmtByTpr4Wv1H8KEuO9z8z3uKDgD+bv1P9%20PjQNe2pGvhr8KAQNRcjXQ2/soF+p6aj40HIvYp0I/lOvWhGjgJQn6UhAuPpHWkGzGnD/AFEMnqHh%20YnXTcKENnIv6bZuAnaL6WvpQc7U7TbzX1F9aVAlRT1CV9SDragH+dPmJ0tfSg7Fe2wuRu8KsDGyO%20Mx+SZLM5hL6D03AEg+KSeleL7IuiksuDPfiu7rJpL0YZbjR0sMD9NoWQknUDwvViKPF903TWd3fU%20W2p+o+ajyEI3BPS3mFulUCok2SbFJ81xQchY3AA6noRQROa4zis0A44ksy0nySm/KvTxI1NY8mKL%2041bfE52TBNbZ+X0Z8JkxYjbCyVqR5S4dSrsL17ttpFGDNk775upSvR7WBUsa3I18PwqwxguU2QbW%20Nrn4VRyQq57ptomoMTKvTWMU+9CQDJQgqQ2ehsLkfwrzfWk03ZuPbZOSIv8Apagx/NxlMo1GnY6O%20lD6/TkAJSFg+INr9a5WPPN19JiKS++5PiLbMM34rru62Kxqu8qFyPizwXAP32CUkKeZJu42L38p6%201tzZfi1t1tfO4+Tg5sTbmjszbRMafms+My0LLRUTYpWGlnRCklJSbdFXrZx5IuisOLyuLdgv7Lt2%20WdAVK1AN06aivcTVrhI1CdFKF72pE1AnUEAKUNCfCkTUdtgIUHCC0rRQI0t8aFWj87wWfG5E47AT%2096hToU0y2N2qjfteuXfw75urD7zi/uPBGGLLqxdRsvjOQk5qS3gnV/sjrKQlwSPqUq35FK21uYcs%20TpOkw+Z5vjL4/q4/6mOfRtDCe3OFgr9eVefJNv1XfMNPAG9bDk0WppllpAQ0hKEDolIAH8BQl3oK%20vnOAYrLTTKdUtK1EFab3SbG/StHkeOxZbu66NXL5ficWe7un6lihxGokZuO1cNtJCEg+Arbx44st%20i2NodDFiiy2LbdoexAIsele2RjxcdBiuOORmEMrdN3ChITuPibVItiHu7JddERMzNGRVeCgUCgUC%20gUCgUCgUGsfdvARc9lsVjJCQv1GX1NNqFwpxJTtF/wAvzpJWWBjnfRi45Klj7BtwR23igbmHWlBC%20kOf0lQ0UaSboyHjMe3NymaEJmRl2XlIJKErS8wpRCtpI0IT9NCZpq95WIwk6M6kOPQYUmO4VLQtT%20yUeQlaS0SBvT/ZU12hJRHB8XyjFYdrEPtx5ELet/DKcdDbkqOdUFbltyVpSLqTV06PX4nLeUvYKO%204+/izHhZJTMaa6hZLLLvqD9Vty1lKUT5vhSiRTRYZONaj8ojPY9SW5cmEiNBlpASy66i61qVbyqC%20k6AGlNiFRyiXeV4bKcPDC2ZcKUZ0oLb3BoaJ2oSfpRcfUKCwQePYLI4yNjcrAQzJns9pBLTu29ls%20joVXT0FCv4ICa3m0RsbjMk4l/DZtBweUlPq2KiFSi4kOg/WdqR5lU1pUndky8Rl+IYRc3COqlyeL%20rAyMKUsqQ9GI37mt+7SyhoBVE1x+FicLk5mViSG1t55kZGU+ylJQy6hISGEAaIJv0FeY9zaHWCh0%204GHjl6uh12TEVe5S6XCpFz4a6ivU9arMV2ZMKcJHI44ZaK5jMCWifECb9QO3gvrU0p7E+yo+4uRZ%20xcfCYWcsNR33VSYazopraoKW2v4m9kA0RBLQqa8XZymmIja7x4gcBU5uOi3O4t1tSFjZ5chW0nDu%20KU+yG0vM71BYskBYonV6OvIySi3HdCcXpudvZx5d9Qnvt+XWqRRkT4shOMfCGChDbYSlNtqQPl3q%20DFjJmScfEiwQShMdIkyQNBqdEeJoUokocJbCW2GmVNoSlQ6E3O0+ZXiaJRC4VUtOIjMQ0F6Yu+5V%20roaFz5lfH4Gj11TGPx6oi0IShZJJLshYO5Zt1N+lHlD4eUuPiI6W2y/OW4v0Gbdt51V/T8aKkIsJ%20TDq3Htr01zVx82IT8Efy2+FCdGHDkIjKyzziVLBfZShq1lOKKToO5pTUe6Islx5MmesLVa7cRIAQ%203/Lcj6lfPpQlwtxtHIpshxQbQGG7rV47NEgHue1NR0BdyKEqeQqPDQbtsKFluEd131AoPQpSrkzl%20lJSBFauTYJSAD/ClUdVK+/U4ww5tgosJD46uEH6Gz4fEUXZ1fCUZbDtMt7WkrcCWki9h6Z/8XprK%20TDu68488YcS25B/1Mm90Np8PAq+FIeurHzDDEfFMNMXCBIBv1Uo26n+Y0hISM+StuUI8YBc1drA6%20pbFvqWf99BhT2BFwORCHCp5TJU9IOqlm46fyikkSTkOOmG2woMTylO6Unq01bVTie/40poUY6k55%20zHv4zFwP3xx8KQFxvoCz0U44gH+BoS2NxH2N5BMQiZyuaI61oQkwo1lbUBNtocG0p+NqdBtfjnCO%20M8db2YyGlC//AK7n6jv/APkVdVBO0CgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUHjOIEJ8n%20UBtV7fI1LppFXm+7tiZ9HzkqDjUuTiJqVO+stzb0I3G4TauFPm5nJTs0fNX/ALjmMvbNkxH6sOyt%20DoCrUDr89a7OHNGS3ujZ9DgzRkt7oijjQ3t0PXtZPasrMaW/ADpQL31HUn/wKAeluhHUj/x0oGly%20P7Ph4UGazinXUeoHEJ/lFwf/AOFcnJ5nDbdRw8/7gwWXU3j192Gq4Jt0GoPxGnSujhzW5IrbNYdb%20Dnsy291s1cfy/wBg8b1lZpO+ttNQfl/uoGlvh0H40GPO/wA2HfSzibfxFJIbMQr/AE7ZX3SBbr1p%20So7FN/LayRaxH91BDcn5PF47HTLltFTK/LdOt/hpWHNl7IrvDoeO8fPKv7IntlH8V9wcXyKa9HjM%20LZU0gKAOoIJtppXjByYyTSG15LwmTiWRddNarSUkXCVWUTfXWtlxXClJtuJPkOtqo5NgDtF1dbdL%201ImoFIsQSRu+PT5U2HOt9D5QLEd70kAF7f5ldraXpNA2qSkbUaX1HheiVCCd11eU6DsaKDdqkC1h%20ZKj3oOCTtFlC+lz2pXUckEqsDp+Yd6UHFkix3GydOv8AfU2CyfOg3NwdwPgRaqKsn204v6r8oNr+%204fO9pYNi2onr0rX/ALSysuxPneTMW210t/VjoyWZ4q85HyqVZLEum6ZSQSpAOnn6k14i67FOvzWt%20iceHnxW2mPNHTpd7rPjZWMlM+ri1pLKzuWEiwrZsvtuituzj8rDlxX9uX6oZQsVkgm40I7V6a7hb%20gQgKcUloDVW49qDCbya5b5YxcVct1RtvSCE3+JIoJzHe3meyK/VzEn7VkixjNHrfxINIPgumF4ng%208OkfaRx6mn6q7KXcfGhKP5l7fYXk0b9VP285vzMTGvK4lXYkjU1hy4Yv3b3A8jk411bPp6x0l24R%20jeU42EqJnJSZfpHaw8PqUgaJvqdbVcUXRWLvweuflw5Lu7HHbXeFmrK55QKBQKBQKBQKBQKBQKBQ%20KBQKDXfug45ByeKy7qHPsYqXEvPNgqKVKI23t2060IhWGMpkmsotyJikrxWeCPsXpDmxDTjYstS2%201C11qVdN6TsaSg8IecYHneVwUptjJY1xLUhlxS0sJQ6u6kthevVWlKqy+Rctx/GmXy7CfiIyK/Rk%20+shRZYeWdrpDiht2qJ60PwSyTinokOKjKRfQaZQuNID6D6SwL6G/RXQ1Ip+KR6sJbuM5op3BB5uS%203jEuP5RhCgpAUEmzibaWWpNh4VVjV1yE4YvhuLyEZtxzHQUokNKJK3YqidqwodVp26UTRn4bNYnJ%20Oy+XY+fFalztyYza3UI9aFtuEuAn6t19TTrQ0RXFuT8ezGHdjplR2146SYoiPOpQ/GbA3bm1nzW3%20H6hSn5mrAzWchQuWxcPmpLE7FZKSmb90wtK96gn0w2Wk389helKxorrzDIz42Tjv40Ssjxd4ehmS%204wtDkeOTcjW5cVoLGiRFGT7lxORTcEJnGMW3jm2FNOOoLoS482lGiUxrCy1DoOtNSJqmo684vEQX%20npbEaOppO19DSFrSbDckpGt70KIOXxaWPcCVnpmVelR4zDbUxyODEKUOtghRQg+YJA1okRXbRj+4%20vH8CrHYl5yO64syAUPvOqc3oUsbFAq6aU1ld9UA7hcMFurcaWEIKipxTpsB8/wC6lU1QWZwuKnY7%207ox3GYLTzIabLhu7dYBKh4eFJWd06rC4m+1uO41YEt2dICRbqBSpVES8SiVEe+3mSUxWkH1XlOrP%20qKOhSm57eNFZOL47DaxcFqO7JS2thJCA8vrrreiUFYpDj6ocGRIdkBKg9JL69jJsb97KPwotWHxj%20j+PZwqPTkyfVdup9z1Vp9RdyL9fKKJSfVIDHNRpDbbE5/wDdVX+3aU4p1KVW6uoJ0HzoTVgcVxM9%20vFesvLkSn1rU8r0b2sojag30HyoVSj0ebHbDj2Y+s7W2hGG5Z7Aa1SEZg8PmfvspLl5UJl+o2An0%20QtCQU+Wyb2Sq1eaGiUdjTGm1PPZgJbT9R+3BN/hrqT4VU6IqPBzr3J3ZrsxDq2mUfaMONhtO1Sfq%20cSdL+F6UX3TClcr2Fa349k6uLKUWSPnTQrCEDfJsnyVa3HGWoLbCBYbUmRobfID+2hVMpTyZtCUh%202Iyy2NBtQEpH++mhWNEBkMlyyfyTF4uC83FUCtxORLKSk3QdybdOg60N080M5FbS19qzKZUdpaQt%20Lair+dSgPNQqh+R5fNJSzDjYpBkqe/zw9uaaNvpUbWvQ6JdCspFDm7FtpUqxkSHJQAUq38xGg+FD%204uI8fl/JmpOJwWA3rloLQnqe/wBO2Sb7t9tqulJig2Vwz2HlCMy9y+YZEqw9ePHOwEjQXcSdU27U%20nVJ6UbaxGCxGIjJjY2I1GaSLWbSEk/FRA1osM6gUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgU%20CgUCg6uo3tLR/Mkp/iLUHzbyvhs7j2fkyZscrivOKdZlNi4AWeirXrFdgsumLpjVhv42O++Lpj5o%20YSFJKErbB9M6g2IGtZZnozVitIc9jfUDUfEHxoMiLCfkk+kRtSSCSRpWpyOdjxTS6dWjyvJYcE0v%20nV5PMusLLTydi+gSDfTx0rNiz2ZIrbNWxg5OPLFbLv8Ao6d7X6aKI0rKzObm9ultFW6gfCg8FQ2x%20JL6HnE91Ng2SfkK0svj8OS6Lpikx6Ofm8ZgyXRddbGn5PZVgVKuSTpY/l+VbdmO2yKWxFsezcx4r%20LIpbFI9nPc+OgB8L16ZHGmtunS3xoOde+mnTroKDEyGiY5Iun1E6jtrpQjds6PpFZsNfTTp+FB26%207VG4sLlNK9BG8jw8bNYd6G7oHR+mu3Q9qx5cffbRt8Hlzx8sZI6KNiOAcn4wgTse6iU+g+dm1ipH%208oJNadnFusisTq+l5PnsHKn7eS3+nMb+i44XlGOyZLZPoz0K2qhuaLC++0m2lbWPPF00nSXB5ni7%208NsXx8+OesJslQVa2gHX/ZWVzXGtt+zz2tbv8qoEIAKlajrrrb5U30A7LlI0UsXJFK0EVyozm8HJ%20egrUmS0glFu9hWPLXtmY3hu+O7Jz2xfrbMtZ8H5tyLI8kQ1kpmyNYoWg3Cb3tpr1rncfkXzfSZ0f%20ZeX8Tx7cE3Y7fn6UbK5ByvB4NTSMi5tDwuyRqFW6nSuhky22bvjuF47LyaxZGznj/KMPn21vY9xS%20vRJC0m4/HWmLNbfsnN8dm40xGSKVStkWKQm9tbfGszSc6gbgjzG16gFIuE7bpJufnQdH5TUdlb75%209NpH1K66eNSZo9W2TdNI3RyeU8eW802J6FOOqsylPQ/A1jjPZO0ty/xnItis2TRKFKXGltuICmnB%20YpOoUDWVo9ao9lvCYVv0mAmO2vX0ka6+NhUtsiI0Zsue/LNb5rMMiGjkGXdKMTCIbT9TzwsCPEXt%20VYVkxXtcguevm5a5ajr6KSQgHw1vpQXSDi8fBRthx0MA6HYkC9vG1BlUCgUCgUCgUCgUCgUCgUCg%20UCgUCgUCgUHnIjR5LKmZDaXWViym1gKSR8QaCgch4VlYjMr9svPxTtljGLVtcZWkf5jTqr6JOuwC%20mp1UjAcnxmbnckh5YqiTojcRtDC0EPlbIUGnGkHzObSLqIpT00SsO65LPOuL5BM5p1UTEn0TGkJU%20hx5YO119TatQk23Iv+FKrXVmY+LgsFhsZEkRoaofpB3Hy1MIJdO24jr+I6XPWnsU92HjOMu43lv7%20vjG24mZzzIXJhgBtptkXX6Km9AVDUUIjXV6YvKRMyjKcXhJUh199/wDcUuJIDDGzyIAPbcLCnxSk%20R8aPPiWFhYTj0DHCJEXES2lDL7zKFrak7rqYcWdbBOtzSVrXZ7scexDPJc7lo2MijMNubRGLSC28%20mwOzbawPe9Cn4SwOYccxOfdgPQ4zMaRiGP3chlsNrSUL9IoWBrfzXpEaH4LQUvzGji5D+05BjZDl%20p8rbt7fWnoFAi2tKQm3VHuPOPwsE+sqEx2Yl1bijqDGUWglQP8wFxSfjo9S9f0l5YqKUtY+e6Gyn%20Ta1JvZCQnsHNSTT0eZidq6ukFb//AMlKW0qQmU8hgAJKg401dDifl2pXovVWfcSaMfFxOInq9NpD%20xfhy3NLtlQUpopP/ANMeVNNCsK8tCcg8p1xaW4CFFTTJWAXiNdyh2A8DQ16PPOpC8WSFoI9aPYJU%20LJBcH5fClCHvITInvuR2gtMNKil6QEm7hT+RHgPj3pQ2hzPYcTin20MqaQE/ptbTYfj/ALaSdavC%20P93IgxIcIKSkR0fcygkkNi50Qe57aUmTbZ7vRVRcZIbYbUyNlgdp3KN+pV4/Gg8GHXmsdjmIje6U%204zcq2+Rsbj5l9vwobMzHRWYzyNv6j6iS7KULuLNvHrb4USZRWIkBjCsgNl+U4pxLEdOhJKzqT2FF%20lnQ4jiXA9Jc9eYdG7iyWQeyR4/GoMaK8iP8AvLjgN/WZCEDVS1bToPGruQ9kNSH3A/MbDIbALES+%208AnXcs9z8O1BwpQHIpbrpSlPoteo4u1rbdev9lDo49Jc4qccSpjGNlOxKiU+uq+hN+if76F0PGbP%20hReSObyhajHaQ0wgiylWI2i30j40poUrs7y474YXPyY2pRZLEBvUbybJusaOa9aLV0QytrIYZDms%20px55x8dkqU3qhI7JFJTd7SpqU3isuJacP+c+ogBCP6b9VfClCf0ZeM4pyLkbKMbxuGv7dt31JGQk%20gtota27z/wCZQbWwfsdiELEvkEp3JTCoLLaVFuPoLWLVyDSZWrY8KBBgsCPCjtxmE9GmkhCR+CbU%20R70CgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgwM9jBk8W9E8t3B5dwuLiseWLpt%20mLd2HPZdfZMWzSfVpfL8V54y3JjMYpDzccb0KRtAUk/y3PUWr5/H4/k25ImLny2HxfMtzV79PVUI%208j1AW3E+nKRo+ysWN/xr6OImIiu7662JiIru7SGniFFh1TauyEX1PxHetLlcDFmpM/LdHVzud4rB%20yIrd8t3WXt+sEAulS3ALKWdP4XpweHixW/J+a+O4OHDb8msuunS19LJ+Nbzog16m+u2/woF+htYD%20W3bTwoGnS+n+zvQk072+J7/C1B2S28QVBs7ARdVjWP71te2urFOfHF3bWKuvwt5r3NvCsjLRiZNd%20mGrC93U2A076/wAKTBRs6KbwmCAf8pNvjpSYqO4vqroSPpPQGg5842m40+v/AMqDouSw0lK3HA2l%20X0qOlJmj1bZN2kRVAZzj2BzElMhiSljLot6Mlojdoe9qw5Mdt86fU6PE5mfjxMTbXHdvE7J2O1Ib%20jpbccDjqQB6muvxNZYikOfkui66ZiKQ9DYLBJNzoB2vVo8AsFkXJUdbeApQPNsOo3+PagLQFAhWo%20UNqknob0mK6LE0mqFc4TxpcZTAhpRdXqB5AAcCutwaxfYspSjet8pyIui6L50UTnnF8y1AbiuH7+%20Gkkx5BBLrSb3IJrR5GC633h9P4fymC6+t0dmT2/mZnHcRP4lARlYH/yGMeQDLbAO8G3msD4V7xWT%20jti63WOrDzeXj5l04c3yX2/TPr8V8xOax2VjfcQngtISklk+VaSexBrcsyW3xpL5nk8LLgupfH49%20GaBe6rkbh08KyNUCfp8x06fGlR5yWEPxXWX0hxDiSkpOgIIt3qTFYo9WXzbdExvDSiODZLHcgUth%20gy47TxUzHa1Vtv2PSuVdxLu7uiH39v7hwXYox3Xa3Q2zxt+dyia5j21pxH242rbd0d0/lro489t2%20m0vjeX47Jh+aPmsnrDYuF9ucBAcTIeSZkm2q3iFJB/pFqyw0FqbbQ2gIQkJQkWSkdAKEQ5oFAoFA%20oFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoKvyfgGHzMtrKMtNxM9GSoRcklA3jeLELtYqHwvT4lFD5P%20OyvHnXpmYi7H1RlxJExkXZmJUgobUUpv6Xp3v5jSvSFYGHdw/K+P4tmGTKw+LATMmISVbZaALBBH%20XYsC9qJMUZ8/MNw8tipeVSWci048hx9Y2iQ0lv8ATWgH8yldaFNEbh8dkoPNMtyFxIKctAakSoaR%20ZZZW4doSe60q1Pwp0EjinYCYE0POpXj/AL1Tkk23qKSkBNkjUq3dutU3QXFchyVfJs9jH3m4YQ6X%20sfMfaLjj7VgOmikq+FTpQ03SWExBx3On8tjnHJrU7GLXlYchd/Us5Y+lu+np0qbV9jV6YCSxNxCm%20o5U/GgPlr1VmykBRKivcfoKb2qyUjqr0SfmInuvJxzrYy+HlRyrEOBYjNF4BIuHF3SpYVceNNpod%20FsQznXvVgehHiNyiUKQ5sddZWdPUCgdVDsRUqtFd4RDySON/YZLKPbosmSIYa3NuOp9U7j6ve3hV%20GF7h4XDS8ViXJIkSXESQkKkOlwi6xe1xpRJ32QbuEwxWsqS4lLe7cou6BI6U1TVAZzCY2diw8j7i%20PEbeaQ0UulK3SVgKUe9vCkr1TZwraB6Tc2W220NqEB1Q0Hc/HxokVRmTxz8mBIYgz5XphNnp63VF%20At1SlB6/MU6PU1ZOMwLLOLgNx5kxDJZSoID6vqPe9EmPR55GJsZkxYs2VJnBNyhTqvTbF+qlHyn5%20UofF64nCCNjGHYc99t6Sje4qQpTySb2tt00oVoyFs5iO6hKMmyuWvSOz9uRdVu+ug+NCqK4tissj%20FiSrKo+7fUveotEhHmI2o10FCZSrzGSjNh17LMkE2QkRzuWo9ANaQVhF4PFZ0z8pNl5JpEtDjaUs%20lkrQkKTdKki+irUEqtGYjIU+J7EjaD6iVM7Rr3uTqfhQQzzeZl8i+6yCUMIQ0kKbSAtBQpPlWtsd%20dNRT3EpIi45thEmRKfmNLOyMwh07FrOiQE67AD27USHlDw0aPyB9MlhKlOR21ObrFTIsSQlfw/to%20ryEdoyfvGpzkdplSkQI725/eTopwMjU3HSlCqw4jgHulyOZAfjMMQsYypdss+lIcUFJ2lXoKIcHW%20iTPo23w72U4tgmULnJOWnHV52T52is/mS2q4FSj1Vf48diMylmO2lplAshtACUgfACqj0oFAoFAo%20FAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoIw8kw6Q/vkJQY5s6k6EH5USrOiympTCX2jdtYuk0V60%20CgUCgUCgUFN5r7Z4fkSFyGgImU6pko03H+ug0rl42b4tkDDyQSJKAPQfH5xe1x860udxfv29tt3b%20c53kOH/cW9tt3bdTZw5kJ09G6Y0hlafKFI7p6/GufwfHZ8d1ZvpbHT1cvx3iuTj+q7tj/K6g6brW%20A10713X0ujgXHwt0t0+dAHYpF7apt/toGgIH82mnhQCLi1ylRGnhUutrFHm+3utmPVks5nLspcak%20NJktEBKSjQ7ba3vXzuTwmSLpusvfK5f29li7ux36++7zcyjMhPpmN6K0iyiPq/p1r3wcXLi/t/lj%20er143Bz4yUu/l3r1RmcKhASbE2WkEdtT3+Vd+KvqpbPg/wD+tiAm36Dev/DVlZetgRsULpAHmPei%20Gm86kkAXT2FTaNBF8qxRyuBlREHa6RZt0dUqGulecuPutmG1wOVGHNbf6S1RxPD8lwWUOYyMdwQY%20qtrrxNzbxA/GuXhsvsnumNH3PkeVxuTZ9m26IuujRuOBkIWSi/cwn/Vac1uDqn4Wrq2XxdFYfBZ+%20Nfhu7b4pLsZ8FCilyU2DfakX7/GndHq8/Zyf5Ze3nITYpPiR0t8K9Sxm1JJG24Vqo9qBYKNinRJ8%20ppqOQVkgkWGtwetBwbKSWnQFb73TbQiixNJrDhlptlv02wA3/J21p8EumbtZmsoGbw6KrIoyGNc+%20yeKryQOjg8NKw34Im6Lo0l08PlMluOcV/wA9k+vROuKabQFOrCEJFiL6Gs1XMQ87k8ONoyyp5abB%20BGiddO9Y8ma2yK3TRizZrMcVvmixYLg+QzzLc6fN9KC7r9q0fOn8dRVx5Ivti6NpXFltvti62axK%20+YbiuExCU/aR0h1P/OIus/M17e6IPnHtrjeRI+6irONzTZ3NZBjyrJHZR7isOXBF8e7qcHymTBNP%20qsne2dkhwlrk8fFmLyDauSydrT6PzoHQm/erhi6I+Zi584Zvri2nf4rFWVolAoFAoFAoFAoFAoFA%20oFAoFAoFB1dcS22pxV9qQSbanSghBzTBKisPpeJXJc9FqPY+r6nXapFrp/GgnQbgHxoFAoFAoFAo%20Mefj4WQiORJrKH4zySlxpYCkkEWOhoNV5X2wd404V8bckR+MEl2Zh4TnpKS4dVOItpr3FqVKeqsc%20qwUHM4lnLxJkufOxb7SoLEp0naVrSlSVtqAI001qfErrSVpkz46OV4+ZLUIQjhSJjLmgacCDdsDT%20cnsLaVepNae6q4WNNxvOsrKlQy1h8o0JsBBIU3H3r2h3YPpJtakk+yxLZbOclNyiRJchiamV1WiQ%20V7NyVD8m3tVoaMVGXYTyMCasY+YIZjIFtxdcK9wU0hOtiO9IuP1RsplWMzzGZZZdY4vnXAzlcek3%20UXenqhAFwLJ+m16nwWaJbKxYLreMdktNnHQZKQyGU7EtNqJV6yeu1SabJE1ZL7am5MttxYM9qK5K%20gyxol5CbEE3/ADpuBrSJSNYr0eEY+piocRaCm6VuRlgatvrO7cPgVakd6U0Ka19EFz55CcRio8si%20NkUv7pLS/IClKh+okH6gRqbU0WFWcaXkXCo7Rj21nY2kjc8Qetv5aFXnnmnDij5dgS/HCfKRtHqC%20wSewFCIe0kPzZK2GCoRW1EPyQCFKV3Qk/wC2hGzmcwUYqQ0hopZQgBKQLbfjTqRu8GHJbkCHChJ/%20VEdHrytpKG03OifFXyoUpu9n4zcbEymmW1JQE7iVarUb/nPeh1eLEh1nHY2PHSHZbjN0g/Sgbj5l%20j/ZQmaMvGw0xpW/1FSZLlwt9w3Oo6Iv9IokozEy0xsIySlTq1uLSzERcKWd579vnRZ92dGiPqkpk%20zBulf8pgHysjw8N3xqVJmWPAdQ0rMuvLCUh5rcpX1E7T08apLuhBlqD8hJRHbsY8RX5j/O54/ClC%20jsXC3ySa6bbUxkKcJ6EBH0/j2oUR7bDClic06mLKcJEaA22p1CQr85bR+c+NVa6rXgPaH3C5ROE/%20KvN4XHbEoAtuekoT9KjtN038FV5KtwcV9quLYEIdLAnTkgbZMkBwot2auPIKqLlQKBQKBQKBQKBQ%20KBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKCg8m4xHe5pi5QbPoOqH3QuAlRv3oRK+oQhCQhA2pSLADw%20oOaBQKBQKBQKBQaj922ca5n4IeYLq1pCJOn/ACtbW/Gvn/Lcn7WS2ba90fwfL+c5X2cls217o3p6%20K/yP23ymIjJyuD3S8QpPqKjL1cbB+Vd6y+JtiX0mHL32RMdVXjyGn0qU2Nq0/U2rRSVV7mGSd3pq%20D4+HiTUNntDiGW4ptDiUbdCpfQ/CtHmc+zBGu8udz/J4+NHzRW5zPi/ZvpauFB3pbUWqcPn2ZrfS%20fR54HlMfIiOl9dnjY28b9bd633ToXVb6vh8PwoVCrykX8tuvy8aDBzm0wBvACQtFr9Lk0mvQbMx4%20CsZDChp6Lf8AdQe+4/SogKVfbbwpUQPN3ctF487KxjhEiPZSk91C9YeRMxZMw6fiIx3Z4tyRW2VL%209uecZzJ5tf7lI3x3E7EIOgChrpetHi57pupOz6Xz3iMNmGb8UfNG7aatjiVNrs4g+VaT0NdWXw0K%20pk+JyoDy8lxt0x3v+ZB/5ar/AMo8a1b8GvdZpc7nG8r3W/a5Ed9nr1hq/O8Z5krJuOSIjqUvr9Qo%20aOgPida51+HJM7avseL5PiW44juibYbZ4bnYUzEx4Qe/10VOyQ25oo/K9dLBliYpP1PivK8C/Hkn%20JbFcV06TGywiw8rdgEnzCtiYch5yX2YzDj77mxpIupX8oHhUuuiIrL3jx3Xz226yw2OQ4SS99uzO%20bU6uwbQD5ta8W5bbp0lsZuBnxRW+yYhIkKAAFtOpPhWRqMeTOgRyr1nAlRGqepPw0pUo4gtZ7Mr9%20HFQlIj6Ay3RZKb/20XZZsZ7WxvVTJzMpcx9NrtpP6Vh8CL0SrN5T7c4vMwWIkYJhtsr3EIFgoG1x%20WnzOFbniKzSYc7n+Os5Ea6Sn8FhImGx6IMQqLKOm7U3rJxuNbht7bdmficSzBZ2W7JCthtFAoFAo%20FAoFAoFAoFAoFAoFAoFAoFAoFBR4HH2Wvc6dPMYJbciB1DqiNXyvaVBPX6e9Klei8UCgUCgUCgUC%20gUFR5f7dY7NxpS4bisbk5AClSmDs9RaDuR6tvqAVQq1JyLifJZeRhOc5ySFTcUlK20Q0LbbmtJOg%20cWdybj6vMaQarhJmNrzbU5sh+Fm8ciPGaGoACyqyh8LVOmp/FX8jm28NynBYd5tUgZJn7SG9cArG%205Swy+s6A3F9bVY0WJmjnk2DfVkcdyV11CeU4R8JupJMduLYnYEd/MeoNSKSnd1SuQcffiZBaN7OW%20hFM5cd3WziUgBaD0IsroKtNTYym04yeqAyZECTG3PRE+X017Rudbv0SDe48aV1WWJ91D5Jgkxse8%20X8hkWCxFdbBSmO4gemFKUdNCNR3pRJlH8Qd5NJxq4Obnx42SxqlMvMNtqDqm0mwW24CU7iBehMzT%20ZF+4+ExuQi4idNkS5rzbxZbMlzepKFqAUAbaXFKG0oRWDx7ZUGHpEdbZNng4BsQnsDbwoboHkGOn%20T8Z5MlLRjBIZStbjl1vecC6NNAPjQr+acGHWi0djITA00SGgHbaeJ0omqMycWTJhyosDLSi82i8p%209ayW0J7gaak9NKKycXhvQw8BqLkJqGlNJXb1dST36Uk1q4yjE2NFeRCnPP5FaLhqSr1Gwg/mUBaq%20RXq4wuJzMXDxUjKR1uvN73XXG1qcOp8pV4VPaCsQyVIzLK2ijIRVyHL/AGzQaWCpVj116UK/mjeL%20Y3Ot44SHMmwJTyl7wW1n0xuPlR4ChNEktrLRm/WdykZOvlAaXuUf5Rr3osSi8JA5AqTlJkv7eY8H%20WtrC02ab8vlWkKOhtT4pCT++5Q++Y8SIzOmEf5TbZUP/AFglNCkLdxn2T5dyPIN5nlbv7LFsEnEx%20yPVUEiyVKWkqT8hU3G5eP8C4tgQ2qDBbElsEfdrSFPG/iu1UmKrBQKBQKBQKBQKBQKBQKBQKBQKB%20QKBQKBQKBQKBQKBQKBQKBQCbAnwoPnXnnPcvm+UT14txbMHjB3PIOgcUmxufhrWnnzXRfFsNDk8r%20tui2Jpq3RwHlkblHGouUZIutO1wJvYKGml/lW3bNYbtt1YrCxVXpjv5CKw56brgSsgqAPgKVWImd%20naNLjykb2FhaRoSKExMPaiFAoFAoMObhsXOcS5LjIeWj6VKGorxfjtv0uirDk4+O+a3RVlIabQ2G%200pAQBYJ7Wr3EMzX/ADn2ng5lZyGKUIWUT5gRohZ/qtVgjRqKfHyGJmqgZaOqNKH0uKHkV8Qai7bP%20RmHiZgCJMn0r/wCXtNlV8/5HyHzfb7avlfL+TsiZx3WVp6sZliOwS2076itTvJJ6HvW3477N0Vsi%20kxu6PibeNdbXFb80bvS979D3072611XYBrrrc66dNKADfXt1B+HegxcrcwFEAX3J17WvQ6tk43XF%20xO36CNf+GhL3SdNbkAX3nvQdVtNvMqQs7m3L3+R7UlbbpiaxuhZHCOPOQFQ2WPtE7y4h1n6gs99a%20xTgspSIdC3ymeMkXzd3IhzL53iqmmsyn77FCyY0tu5Wj/H0rB33Yt9bXRtw8fn/R/Sy+nSVvhym5%20UdElo3ZcF2z8D41t23RMVhwMuKbLptu3h7J8oAFrDp3r1MscWwg87xODk1fcskxMijVElrQn4K7W%20rDkwxd8XR4fkcmDT6rJ3iXPHZHIQ19tmmAhTXlRJHRzwqYYviKXdHryEceZ78M07v5fRI5GCmZjX%204bigEuoKStXa/cfGst1sTFGjhyzjvi6OktJYfj2Ux3JFPqirlfYueqnbcqUlJvfwrk28a+2e6mz7%20/kea4+TFGKZ1vjt+Ey3FxZc/malmG+jHsosh5h24f8CUjpXTx5rb9t3xPL8dk48/NFbektiYb264%20/jlh51BmyUkFDz+pSR4WsKyNGY1WhKUpFkgAeAFqK5oFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAo%20FB5yX0sR3X1C6WkKWoDwSL0HzC97lchkzJHucw46iBEm/Zt4tw3SIemhA03bjetC7l/1It/D8XLv%205lc8Wx9O3xl9M4zIRsjj486MrexIQHG1WIuD8DrW+6jJoMSRlsdGW4h99KFtNl1xJ6hCeqqlVi2Z%20ZDLzbzSXWlbm1i6VDuDSJqTFHeqhQKBQKBQY+Qx0HIxFxJzCJEZzRbSxdJqTFRp/kHt1ybi/JGc9%20xiQ5OxKyUycZIVuTETYkusDy2A6WqzsTNIeGQhQMxhJDEIJyBQr7hExYIfVI0ClAGyhZPwpMmnRI%20Lba+w2OLcyOLyDFv3BRBfjAGx9TupIKeiRTqTNN3ixkYOQxDUvISiERwWUyE+Z1LgJ2JAFzYj4Ui%20ND1QnDsnyB5T/HOSNft0zF79gb0ensOn1E/qaoA2qAIVrSdqmrPxOOdwk/MQMekowj6m5P2yfrb2%20o87qP6Uk+YDqaUI1SP7fGOXWhK9olsiXjJKT5QY6RvSv4LUdRUIrRW+eyGnMVjUK/RmCSFSI56FO%208ErT/SetquhHrVVnULyTyrtqbxaFqCQAQp5QP/4RTZdnTOoWcVYJ2hL0dKDawQPUAAFSiROr2lF2%20ZJdisKUmK0bSpdj5l31QirslaE1pLWKkNMNltIQEoQBYK+dKLT1eLMiSqFDiQ9Hkx0+tI7NC51v4%209tKSTu7LitR8bLAUtby03cfXq44fBRqDrGlqj4zGttsKlSXGfIwkgW8x1UTparOq01ZWNiralJkv%20rD0t0ELVY2bH8ifhR5mdEdh32I2BbfkLCG0lywJspR3nygUXqy8ZGyeVyKPsYSshkyR6MVAs1HT/%20ADKUryk99DQnZsHjvsPk3XnZXIslZqYUuyIcW6CFIFkpJNxa3WhVtbA8XwGAj/b4mE1ERbzFtNio%20+JNBK0CgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCg+aveNYwvuDEx+NQmPDzC%20gcm2n/mgmxvetPPgsuur1lpcjBbddFer6D49iMbicTHiY9hMeOlCSG09LkXNbcNyIopnPferj3Ds%203HxU1tbzro3OelYlCe6jr0qTdENrBxb8sfJFUNl/cbi/NGUReLPGXmEEK/T6oQPqBrxfNY0Z8GGb%20Lvn0hsTiXojDtIQgtuIFn0q67/zf217tamaZm6tapqvTEUCgUCgUCgUEVyLjGIz8FUTIMJcSdUOW%208yFeINBo/mftrl8A6X/TVkcXfyvIB9RtP9QFhWPJhsv+qIYcvHxZKd9saIJpxhaAWlApHbwtXuIi%20IpDLERDv5rfHsPh4fjVenFu/XwPw70Q0vrpbQnvrQYuSt9kRcW3ABPib0oQtPI38tF4YzLxSz9yw%200lSj4ADUGsHJ7uysOp4aMd3Ii3JEXWz6qx7e+4Ofy2VbiTy2qMu/qOm4UCBpbtWnxuTdM9s7O/5v%20weHFjnJj+r/K2crTzFJ8psm394rpvjDaUnygWJuqgOobcT6biA4heikkAj+2lKrF0xNY3dUMstNI%20YbRZoaBI6AUgmZmay7DYVEj6h5T8KlUdVLbZTdakoaA6k96tSjEZycmc8WMTFXMc8Ui6aCex/tvl%205yvUzcz0WTqiOx1HwVcUqRK7YnjWFxTe2HFQgkWWsi6lfMm9BW+X+3SJr5zPH1jHchRYokJJCF27%20KAuP7KwZcEXaxpc6vC8nOOOzJ8+L0TfEXeSqxgb5C2hM9vyqW1coWP5hevePup827W5sYu+uL6ZT%20lZGmUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCg4WhC0KQsbkKBCknoQdDQfMLsWKPeprhCY6G+%20LLySnF4xIs0o+nfUfOtScNk5NYr1/FozhtnLTpv+L6dbbbZaS22kIbQLJSNAAK229MtX57/uH4Xh%20eVvcflNvKEZYblZBFiw2oi/mtrWO7LbE0ltY+Flvt7rYrCKynNeM81lqm8XdVNax6T+8qbSpO6Pe%206kAqAuTXm+a7NjjW9kT3aTWkfH1bexi2V4+OphJQ0W07EHqBbQGssUpo59+81ZNV5KBQKBQKBQKC%20q5zgzL8z92wzgx+XQkhKx/lOE9nUjUj5VYGu4UnP4bLu4WdjPtsgXvVxuRdsYK2rWKUAHcPMSfNS%20JTui34MHG8Ze41ydM3CK/cWMrdEhmQblmWo3BjHRIFh3rzHuqbkIivyIkxxalR5KzDnKJAdbfWry%20r/xJA0PSrQY+Zy72FmYiRKaUkNyBBGWRYNONvqvZy+ugGtKV3JiqF5xyCNgnIORxYORiMTENTorQ%20IabD673Tut9XU61ayMP3Xw03Iw8DMyL6YaUvBcViDdLiG31Aj1Sq4Nx4VKEoFzHzi6sDLS0BNxcK%20SAEp/DtQQPIIsvIY1TUbNSnYKX2UypBICVXWBtRpe4ouqc/a5Te2OzlphZb8rQ3J6Dp2oiPzMXKO%20RJMOHlpJkpTeQ44oFttB8bDqelB74rEzomJhsQciVIUylajMuq5v1G0daJX1dcweRtQ5DUeVDelu%20oulra5fbf6lUWrricfl4eGjKOTi/qt73X3gsrIudNO1BJYjFc9zLoRx1iNKWNUynEOJZCem5QVtV%20QhsfhX/bvjILjM7lUs5ma0d7ca5+1bJNztSQFdfjRatsYvEYzFRUxMdGbix06htsWGtKIy6BQKBQ%20KBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQfM//AHByGGfcfEPyF7W2EBXzsrpW%20DLjmZibYmZ9mpnsmb7eyK3TP4svkPvnyfNFOL4bj1qQhsJckWJuAADt61inlTWlsavrcfhMdkRdy%20L+32V932h9z58dzNSW/u8hJ8361/USPC1qx/22SdZnfdtR5vj44+3jtpbTdu72i9scfwzj7aVtIV%20lZF3Jb9he6zfb+F63bLIjZ83yOROS6Z6L40w00CG0hIJubeNe2CZq70QoFAoFAoFAoFBwtCFpKVp%20Cknqki4NBrDmntBHfU5kuO2jTdVKjf8ALX3NuutFr6tWO/cxZKomTYVDnoVYtLFiT2Iv41d9kp6P%20Q31FhcdvgetQejCWFLAkuegx3fV9PwF65/M8hbh0j5rvRzOd5S3BFLPnv9PZ4Z4Y5mL6caSHy4bm%209tAPC1avB8r926bbrZr69Gj47zn3ru26NelF6xzTMrAxo7g9RlTSUqHY6V2pjpL6O2ZturG8I1z2%20+4uYrjTEb7d1ZKg+hSrhX8aw/YspSIdK3zXJi+L+6tEUzm8zxZ5ETkH+rx19sScjXYPBfQdKw992%20LS7WG9dx8POiuKmPL1ievwWaHn8FNe2Q5aH3ykK9NBuopPcCti3JbdtLkZuBnxRW+2YhnhJB8o0U%20bqrI1GPJyEKIT6iwFE2Um+t6lUiYkhReS5lYTi4SmGCf/dvgpQR8xerKxK0432uhFwSM1IXPdOpZ%20PlbB+G2xolFyiQIcNpLUZlDSECyQkAafOivegUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCg%20UCgUHyxyPM4/Bf8AcBIzU9YEeFLUtTafrV+nby/xrVvmbb+6YntpuwYcV+TkxZZFZuhI8h97Odcu%20mft/FYL8WDeylRx/qjfSxKrotXmeRdddTH+cvq7PEYOPFeVdFf8ALCJkeyvueuC2gw2SjKOhM1ab%20/dNhXV10k7dOmlebePdPzTLLk81hi3tx29ltdH0XwjhmK4pxuLhoTY2NIs84oDctR1UVW66mt222%20I2fNZct190zMrAhCEJCUCyR0AqsbmgUCgUCgUCgUCgwsvh8dl4TkKeyl5hwWKT2+INCGteT8UzHH%208PIVG3ZLFQz9zDHWSw8nQEHROwAmh0V2ZPx/McU69xxJfz8lvYiUi6W2XEjbaUDY7bj8tIUzWKmZ%20/guQg8gyCjKRHLEuNEt6LboTZC/ON17C4qfweaQyywk8LgYOchKRBkwGJbCR/mNODyL11vt61621%20evdDe4D6IjWL464q7zEhT0aV+VxgLCtqf/6SdDUhIVl0qyTq9oKcchatxIIU+oHp/hFD+LzzaFHE%20ek2kobS+xsSkWQm7g60oPaS7IlPuxoay0llREqanrfoUpq/EiNHSVHaYxEploEBSRcn6lqv1V8ah%20V5GcqLjYLbIbW8mMjepdyhq5Iudut6GlfdN8Z4JynkUd5nGx/t48r/3OZmA2WfBrbr/EUKzv1bL4%20l7G4LGsRl551WZlsJ2oDv+Ug3v5ANp/jQo2U0wyyhLbSEoQkWSlIsABQd6BQKBQKBQKBQKBQKBQK%20BQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQaq96/ZZnncNEqC4I+Yj/5S1EhKh4Hwrd4PM+xf%20WYrakx16tMcM9x+Te0+XGE5bhgYalbPuiiyiL9UG3mFdLLwsPKrkwTS6usTol2a+6fmmrfmA98eA%20ZvKxcXDmWky03ZSuwG7psOvWuXyODmw632zELN0VpWGwK1FKBQKBQKBQKBQKBQKBQVvmnDsJn8e4%20qZH3yGklTLrY/UCgNLWtepM6PN00irSC8bBh+sxJmhL8clSPUslRA6BQr5vl+Wm6/siJtjq+S8h5%20qck/biJs9fVgLys2fGVEW02pgEXcT9JHbW3WvHD8dluum6un6vHD8Rkvu7ou+T9ZYkuLHj451KUA%20kkbrm5+Br6LFgtxx8sPq+PxrMUUtiGxsEpKsHE/l9MXPTtWZnZvlASQqyB/b4VRH8ixKMrhZkJxC%20Vhbd0bjbzJ1rxkt7rZhs8PPOLLbdHSWleJwsphc0Ja4Try2CoIbb3FRAHcfy1yceO+ye6j7/AJ/O%2043JsjDN8R3dV5xvuBk+Rcnx2EjRftGpK9kmTrdvQnodO1bOPmzddSlKuDy/2zGHDOSL+7tb1wnt9%20gMY4JCmzLmXuZDtzc/4b7a27McWzWHyVuK22ZmI3WVCEISEoSEpHQAWFZHtzQKBQKBQKBQKBQKBQ%20KBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKDQXvj7CZLN5NzlfFXAMoobpsJX/Nt+Zv+uup4/wAjbhrZ%20kti/Hdv6vNLonutmkq77S+/EbjTg4vzLGpxqmVbPvQixSen61/8AZWfleKiY+5x/mx+nWEnNdM1y%20T80t88d9yuE8jyj2Lw2VZlz2EeothBO7Zp5tR8a5OXBfj+qJh6iYnZZqxKUCgUCgUCgUCgUCgUAg%20EWIuD1BoKdyH2/aeL8vAODGTnzvlNtgBqSQLAO6Ej/hoUa05lyRGCaWjKsCDJySfs57Nj6anlDaw%20ts6/lHegyOcSG2hi5cJ0yshFMNc2CzqXGUpHnX2uhPTWhT1QfuviZ2UjYKdMcRjm0vborUS5eQl5%20QP6m+483woa9UGqBllPFDeYk2QSEna2AAPwoQguRRspNgmLGzElUZL7SZryggC5WAA2QOoPjSYIi%20YSrzL8FSYozUs+l5WWUpbLqyOp0Fr+NDVYuN+23uByG+95cbDSEgOPzgEvlJ/M0EAp/jQbS4b7I8%20K4y21sZVPktAWkyjdZUPzkCwuaC/pSlIskBI8BoKDmgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCg%20UCgUCgUCgUCgUCgUCgUCgUCgUCgq3uLw/G8k41OjvwW5Uz0ViIpQG4Lt5bK61m4+aceS2/8AyzVK%20Pmc+zvuYhUWWnGNx8hjV+rGlNnaSEG6QUgAV9db5rjZsc2ZKx3fp+LVjDdbq+jPa/Icsn4gyOQKb%20LmiEoQQSkoG1V9O5r5Pk244upY242XWtcKBQKBQKBQKBQKBQKBQan938Vjn3Y3owwiYFgrfttSpJ%206p8FVwfMzSIpbW7er5jz0RFO2yt29f8ABBSfbSa7hkZXjrRQ4BeTAWSUr29S2Te5+FdXh5JvxWzM%20dujt+PzfcwxdMUUfKPrTBktSUKjymv8ANZWLKHwsa2W42Bx99lvjkJ1xYQgtAgqPawoPN3k0Quoj%20xEeq4s2C1CzSb9Lq7VivzWWxW6aMWTPjs+q6IWnF+3ORyBRKy2Q2smxEZixSpPhvFjWS2YnVktvr%20tsqreGnY73BkQmGEtxl/5KCd/wCkokC6j3r53kTn/u7bYn3iPZ8ryJ5H97b2ztKQzfsLFYblZXBS%203Gsyo+syk6J39x1rq5OJWK2zSX6rxP3NfExbkticdKSy+Ne4nJ8E3Hx/OoCo1wEt5FF1IPbzmwAr%201bmusiIvj8WHk+OwZ5uu413/ALZ/wbQhToc2OiREdS8y4LpWgggj8K24mJ2fPZMd1k0uikveq8FA%20oFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoNW++XtvCz3GpGUxmJEvk0JO+AWk/qL%20IP020B6966HjeZ/b5Yu/l6w83W90NJYjinuXx7OQ+YxOPO4iRFAOQQ8CmMWh9XqKuVW+VfTc3l8T%20lY+2bpm6NvX4MNlk23Uo+pOHT8zkMDHm5htpqY+Nym2SSgC+lirXpXx2a2LbpiNmayZmNU3WJ6KB%20QKBQKBQKBQKBQKBQRnIOM4LkOPXj8zDbmRFkKLa/EdCCLGg19K45O4nHGO9Nydxl/chx9CQp2O0o%206+oT/wAtI736UprUUrmM2M/iMbjWpKH3YMrcl5BulbClgt6n+RNIpuKtIlfucxcBj1HEFagWYw3P%20vqvoEg6WB+NBcsb7M8uzbUeLkC3gsOkpccbZuqSu2qQsKBG4d9akSQ21xf274vxxO+HFSuWsWelu%20eZaz463A/CqQswAAAAsB0AoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFA%20oFAoFAoFAoFAoI/P4+TkcRKgx3zGdkNqbS+nqncLXFerJiJiZKzGsI3huDyuHhKiTXkvpTb01gAE%2026k2q3zEzWHmIWKvD0UCgUCgUCgUCgUCgUCg83osZ+3rNId26p3pCrfxqTETu83WxO7uhCEJCUJC%20UjokCw/sqrERGyo839ssDyqOv1k/bTVfTKbFj/xAW3UVi4P2nw8BEdMx9yb9skJaSboSCBrdIOtB%2058j9rWchLQ9jZQx7SiPXZS2FBVvDXSuVzfF257omsw4vkPC28m6Lu7tXXHQxCgMREqKwwgICj1Nh%20aujis7LYt9HVwY/t2Rb6Qo8722yMrkL+W/c1NqdXdFhfYgG4T11rl5fFTdfN8XzFf+N3Fz+D+5l+%2053zE1qvkZkssNtFRWUAArPU2rr2xSKO7bbSKPHJ4rH5OIuJOYS+w4LKSoA/w8KTbExSWbFlux3Rd%20bNJhicd41iuPwjDxqFojlW4JWtS7fIqrzjxxZFIZeTy8me7uvmspWvbWKBQKBQKBQKBQKBQKBQKB%20QKBQKBQKBQKBQKBQKBQKBQKBQKBQKCvc6w+azGBcx2KeQw6+oJeW509PuOhrLiui26sjP48xlmMW%20yzlPT+6bSEH0SSiyRYWuBXi6azoQkq8hQKBQKBQKBQKBQKBQKBQcLQlaShYCkqFlJOoINBrnl/sR%20w7k2UayD3qxVtghbbBISsHrcX0oLXxvhXGuORUR8VCQylIA3m6lkjvuVc0E5QKBQKBQKBQKBQKBQ%20KBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQK%20BQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKB%20QKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQ%20KBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQK%20BQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKB%20QKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQ%20KBQKBQebUmO8pxLLqHFMq2OhCgooXYHaq3Q2PQ0HpQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQK%20BQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQY0DKYzItuOY%20+WzMbZcUy8uO4h0IdTYqQooJsoXFwdaD1XIjoebZW6hLz270W1KAUvYLq2g6mw62oPSgUCgUCgUC%20gUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgx8lkYW%20Nx0rIznQxBhMuSJT6r7UNNJK1rNr6JSkmgpUP3jwLr+C+7xmSxuO5O42zgMtLbjiNKcfAUykBp91%205sug3R6raL0GN7u5ZXDWIHuBGuhvHSo8TkDaQdsjGynAyrekdVsOOJW0o9PMnos0GxULStIWghSF%20AFKgbgg9CDQc0CgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgU%20CgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUHnJjR5LDkeS0h+O6kodZcSFoWk6FKkquCD8aD5+9qef%204Tg3FeTR0YbJ5JiFyPKlyPhoZkJiRkOJShTqipttCQE6DdusL2tQbfjzOMe4vC0TMZLL+MyLZXDn%20M7m3mHkEhLiL2U26y4n8CKDA9oOayuWcNRJyO0ZvGSHsVmggWT95DVsWoDt6iSldu261BdaBQKBQ%20KBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQV33G%20zrOB4Hn8w9BTk2YUF5xzHuAFt5OwgtuAhQ2G/n0+m9BormGUxErEe1eUd5IzkJTnJcFIXAiLbYxs%20CKpKyUNxWtobS2U7UqfJXooAgbkgNgf9ycyLJ9ic45HtLRkEwUwg3dXql2Ywpso233aeYeNBsrBx%20HoeEx8R4APRozLToBuNyGwlVj8xQZtAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFA%20oFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoNQexOYw8Lj/NjNmsMJgcly78%204OuIT6LJcBC3QT5UkJNiaCR/7eMJLxfAn3Hoy4cXKZObkcZEcBStuFIc/wBOChQSU7kJ3AWGhoI3%20/twjOfac5yQb9OHkuVZJ2D1IU0lSU7k36p3XT+BoNwUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgU%20CgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCg4cbbcbU24kLbWClaFC4IOhBB6g0EM1wj%20hbOPGNZwGNbxyXkykw0RGEsh9P0uhsI27x2Va9BhZ3jDvI8zjRkm0t4HCyEzmYpIUqVMbBDC1gaJ%20ZZ3FQSdVLsTYJ8wWegUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgU%20CgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgiJnDuIzcmjKzcHj5WTaIU3PeisuPpI6FLqk%20lY/jQeufTmnceuLh9rU2SC2mc5YojAixdKL7lqSNUJGhPUpGtB14vxrFcZ4/CwWKb9ODBbDbdzdS%20je63Fn8y1rJUo9yaCUoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAo%20FAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoF%20AoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFA%20oFAoFAoFAoFAoFB//9k=" height="417" width="996" overflow="visible"> </image>
          </svg>
        </div>
      </div>
      <div class="fig"><span class="labelfig">FIGURE 2.&nbsp; </span><span class="textfig">Finite Element Model: a) Boundary conditions b) Model mesh.</span></div>
    </article>
    <article class="section"><a id="id0x95dc680"><!-- named anchor --></a>
      <h3>RESULTS AND DISCUSSION</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <p><b> <i>Finite Element Simulation.</i> </b> The behavior of the draft force along its travel was analyzed by means of simulations by the FEM. In <span class="tooltip"><a href="#f3">Figure 3</a></span>,
        some steps of the process of soil cut are shown. It can be observed 
        that, as the bent leg is moving through the soil block, big 
        displacements of the soil mass happen, both longitudinally and 
        vertically, overcoming the its internal and external resistance forces 
        and taking place the break of the soil prism. Coinciding with other 
        authors like <span class="tooltip"><a href="#B4">Bentaher <i>et al.</i> (2013)</a><span class="tooltip-content">BENTAHER,
        H.; IBRAHMI, A.; HAMZA, E.; HBAIEB, M.; KANTCHEV, G.; MAALEJ, A.; 
        ARNOLD, W.: “Finite element simulation of moldboard-soil interaction”, <i>Soil and Tillage Research</i>, 134: 11-16, 2013b, ISSN: 0167-1987.</span></span>; <span class="tooltip"><a href="#B21">Ibrahmi <i>et al.</i> (2015)</a><span class="tooltip-content">IBRAHMI,
        A.; BENTAHER, H.; HBAIEB, M.; MAALEJ, A.; MOUAZEN, A.M.: “Study the 
        effect of tool geometry and operational conditions on mouldboard plough 
        forces and energy requirement: Part 1. Finite element simulation”, <i>Computers and Electronics in Agriculture</i>, 117: 258-267, 2015, ISSN: 0168-1699.</span></span>; <span class="tooltip"><a href="#B1">Arefi <i>et al.</i> (2022)</a><span class="tooltip-content">AREFI,
        M.; KARPARVARFARD, S.H.; AZIMI, N.H.; NADERI, B.M.: “Draught force 
        prediction from soil relative density and relative water content for a 
        non-winged chisel blade using finite element modelling”, <i>Journal of Terramechanics</i>, 100: 73-80, 2022, ISSN: 0022-4898, DOI: <a href="https://doi.org/10.1016/j.jterra.2022.01.001" target="xrefwindow">https://doi.org/10.1016/j.jterra.2022.01.001</a>.</span></span>, it can be observed that the model simulates the cutting process of soil in an appropriate way. </p>
      <div id="f3" class="fig">
        <div class="zoom">
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K14fjf7u9%204PSK1fyMJ3FFanxR1p7r9bdX3Lpd23B7o3DT8vGfTh08vTbRq72xCzjLxsRS/wDJ6siOrWp1H6Ot%20wvR1tudh67/kn2Tpjb1Ogyh7Gh5GVdNQub9xJOCb3qbrS1Pr5ciSAgCAIAgCAIAgCAICieeGCJ00%208jYomCr5HkNaBzJK9jFt0R43Q5X179Q/SXThktNspvO5sNDDC7+F/wBq3UF0nG+2L+R6p/6cO73/%20AAIt7MjDbU+e+tferr3qthhuLs2VmCS22tj6Zpyc9lCV3fHe3sXG1S8pd3/Ag3MyUtFsc8e3US45%20nEOOZ710CdDQpFBjONPvwJXtT2p6I8q/EJU88iRaXF1ZTtuLOeS1nb5ZonFjvtFCtdyEZqkkpL4n%20quNbHYeivqY6x2SNtpvMTN5tGaWseSIpWN41cA4vPeuT5D2jYu+q0/py/FP+BKtZrW59BdE+73RP%20V0Tfkb1sN34Q60uCI5NR4NDj4vguD5DhcnFfrjp3WqLC3fjPZm6qqNoQBAEAQBAEAQBAEAQBAEBo%20Hvs0u9sN4ABPgbgDTjzVxwT/APaiYzeh8AHMru51qyIdw+kkj/iFPUY+hh9653nk/pmy01U+zlxx%20JCA8c9rGlziGtGJccAF43Tc8bpuatv3uDs9hG+O2kFxeU8DG4tr2uyUK5yFuMvFasoeS9w4+Omk/%20KfRL+Jom69Vbvurj60pjhOUTDQfGis8STdKnzrlOfycrd+Mey0/HuY0ULdOS6KxNUoc4yJNZvd5Q%20aVqRX9KnRuUN8LqRHO1DVTSauxwOC2fXN6y3Qux7cWuJ0gVFK5rB3jXLIqty/FZ6S0k0A/CFhK5U%200yu1JLWhooMlrbNTdS7a9R7rtkoNnKWcdJNWkdy1zw7dxepFzxvKZGK6wk6dnt+Bteye6/qu9Lc7%20Qx0NHXDDUf6ICr7/AA7SrB1+B3mH7vsvS8vH4rU3yz3KwvGNfbzsk1ioaHDV8RmqeVuUd0dVj5lq%208k4STqSVgSQgCAIAgCAIAgCAIAgCAIAgCAIAgNP94HEe2HU1DSthMOebVZ8N/u7X86MLmx+ersHH%20hSn6F9BvKk2QzZfbD/1H6ZH/APY23/zAq/P/AKMv5WZ29z9FV87JgQFMs0UTdUjwxvMmi13LsYKs%20mkj1JvY1XdevbOKZ9rYtM1wzzEghorgM1y/I+6bdtUtLyffoWdni5yXlLRGDuNwv9wid82/W6uMY%208rTyC4DO5W/kTrOTp26fgaMuxFaJdDXtx2M3LwKECtapYzFFHG8lwLvS00L0u3i22z0mFgmxLS8a%20qYLR9fzuVex1ft/jVj0VPmc/tfdDrDpW+kbBei8sQ/T8tcVeQ3901wX0PjuRnGKR9RlwGNmQXlHx%20uU3Wh1zoz3y6U6gAhunHbb//AKGU1a7mQ8DSuisZ0LmmzOO5P2rk4zql5w7r+B0WKaKVgfE9sjDk%205pBB+IU05qUWnRlSHgQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQES+3fbLCnzl1FA53lbI9rS%207uBOK0Xsm3aTcnShutY9y5+mLfyNT6m9yLDb7KWeCaNkTAXeu8jGmYa05lcrk+6PN+GPFuT6tbHs%20uOypy8LUKyf4L5nOb7qSDf8ARdDeY5jKPDCZQyneyqocrLybkn9Xy/ccdzvtvkvN+ak/lXx/gWoN%20um88czS3m11QVDldjtQ5yHAZcXs0ZCw24GeMvAe+ooBjVRb970uhZYvDzjJO5FnzB7pU/wA6biBk%20JXinKhOC/Tvtv/8AzbH8i/I61R8dDUlcnp9s/ShMH+1bG62ucy8mBaKVAo2lVw3ONfX07IlW4NR1%206nZVTmYQBAEAQBAEAQBAEAQBAcH+r/SOg9tLhUi+wwrT+G5dV7Vr9S5R6eGv4mm+9D45XTGg719H%20QP8AxC3IjL+XPBx/61nBc97hf+kvmbrW59iLkDeEAQBAEAQBAEBaubu1tYzLczMgjGb5HBo+00WU%20YOTolU8lJJVZy7rb3+6e2b1LXZ4zul+0uYdJ0xNIGeuhDl0PH+27171T9EP2/gVmTykIaR1Pn7q7%203M626mlcNy3B8du9tPlbcmJhbXJzWmh+K7vA4fGx16Y1l3epVzzZz6mluYA7TG3w5HChLu9XKfc1%20p9yw5ho2udMABxrkVmmbEyhzMSCKkZ8VkmZJlJZiDzxqf1L2p7U80CuHHPuSoqNAphwyrilRU9oQ%20ajOmPaUBXDLLDMyaGR0Nw01ZJG4teCOThisZRUlRqqPVJrY6b0V9QnXXTsrIr2T+b7eKB8Mp/i0H%20KQ1K5vkPa2NfVYf6cv2fgTLWY1ufRHQvvZ0T1bEGxXbbG+aP4tpckRkHk1ztId8FwfI8Bk4r1XlH%20utSytX4zVTfmPY9gexwcxwq1zTUEdhCpDceoAgCAIAgCAIAgCAIDQPffT/wv3nUSBob5c81b8H/u%20o/eYz2PgBd299CIdx+kiv/EK4/8AD/tXO+4F/po22m6n2aSAKk0A4lceSDB711fte2MeC/1p2/8A%20Nt/bkqjP5mxjqjdZ9EiHlZ1uzFt7nL+puud93IvhEnoWpw9OOoJb+8RmuSy+bvX6r9MX0OA5fnL9%202sE/GHw/ia3A8NNDkVnhXFFquxyrJ0UoouuwsyKW5qlEvCQc1eWuQVEqml2ysSdqnQz13NbtseqV%20n/yGg+me+oVsWaeeB6HE1+5bo3nKpjQqq2nYtyuRS3PKFBjicWnSPDks43a7GXk0euaxrSQwdoyq%20s02zxNs9t9xmtZRJbOdHKTg5h0nvXkrSkqPYk4967al5Qk4v4G17R7n3EDBHuEPrAYBzTR1OZzqq%206/xKesGdtx/vG5BUvR8/itDdNm6q2bdWA287RJ+KJxoQeWNFVXsW5b3R2mBzOPlL0S17PQy6jFoE%20AQBAEAQBAEAQBAEAQBAEAQGn+8DiPbDqalMbCYY45tVnw3+8tfzowubH56kDUaY4iq+gXElJ07kM%202b2wP/3H6aFMf5lbGvH/ABAq/P8A6Mv5WZ29z9ELi5gt4zJM8MYMyV83vX4W15TaSJqi3sazuPW8%20bXuhsYTI+uEzvJ9mBXJ8j7stwTVn1Pv0Izv+qiRhrzcprpjpLyTU3NrTUtB4UC+f53I5GVOs5N/D%20ovkXeGtdNzAzSW/qvc6RsjiQ6rTQVriCCtcU6bULyMZUVFQ8n6t2uzc5t09jIqD02txIHDJI4Fya%20rExjxdy4vSqvqW5et+nI9Wuamhus0PDms1xl59DFcDelSiNP6r90LaS3dDYRhs7h/CkONByNFb4P%20CtOs3odHxvt6UWnP9PY5TeXD7iQyPdUk5DhxXU24KKodvagoKiLACzNtDcukPdbq/plzY7W5Nxaa%20gTbTVc2g4NxFFLs5k4Peq7FDyXt3GylVrxl3R9D9Le7nTu72cD714sLmUU9ORwoXdhCl4nMQuT8J%20LxkfMs/29fsyaivOK7G7wzwzMEkL2yMOTmkEfcrkopRcXRqhWhiEAQBAEAQBAEAQBAEAQBAEAQBA%20eOc1rdTiGtGZOAQ9Sqegg4hDwIDWupvcXpPp2N53C+Z6rRX0IiJH92luKj3cq3b/AFMtcHhcnKfo%20i6d3ojjHVX1G7xdtmttitm2cZNGXL/G4t/skChVZe5NvSKod3x3si3Ckrz8n2OVX+/7zuFwbi9vZ%20riWuoOe9zqH92pwVXc9brLU7K1g2bcfGEUl8jCbzvm439IJ7h7rePBjamlVtsY8IapalJkKKm1HR%20EW3Ijppc5pGT2uOfwWyWput24NUeqMlFvG9RsDYr2QsGTNRb+tR3YtveJnHDgtVGEvnFEiHqLeGS%20N1XVxG8Hwlsjzn2grXLFttbJ/cSI2LFaTtR//FM0LqR8ku5SyP1Oe9xc5zjUkk51PNfdOHUXhWlG%20mkVt0PiPPQUM24kvFVMUp5UHT/abrvfemXC6265IbHIXSWhJ9N4IodTcvivmnu1StZauR/TJfdU+%20m+1cOxm4ErNynlGX/wAl959f+3vuXsvWO3Nkhe233BuE9k5w1AgY6a01BQbGTG4tNzmeY4S7hTo/%20VDpI3BSClCAIAgCAIAgCAIAgCA4R9XxcOgtuoK/7bzp/zbl1HtZL6s/5P3mm9sfHIqTQcV1KNB3j%206Ov/AFE3Kn/8a+vd6rFz3uH+kv5v4m21ufYq48kBAEAQBAEBYvL+zsojLdTMhY0VJe4D9KzhCUnR%20KphcuxgqyaRznqv3p22yY+32WP5q5IIbO/wsa4Z4EeJX+FwE5utx+K7dTnsr3Jajpb9T/L+JxXqr%20qvqDqCcy7jdyStd5rZknpwt7QytF2GJgWbCpGK+e7KC7yV66/VI0+5ia1xY0loONOXZXirSMuoty%20b1MfPbvIqaBxd/pHnXgFvjMlQmiM+CQZg+F1MDxotqkjcpos+k2tKGlPNXis/I2eRbMXiqKVb4XY%20UHeeay8jLyKfRoaEZioBOAHJe+R75FBaDpqKasSO7D4L2plUo0YeXGhOfJe1MqlLm0yxHOlFkmep%20lJAPfzQ9qWy6hBBNBgOBBWVDOgEhDmvFWyAmjwfECO1HGqp0PVVbHQeh/fXrjpN8cXzR3HbRT1LW%205Je8N4Bj3Hwqg5H21jZNWl4T7rb8CVayZRPojor6hug+pBBbzz/yzcpTQ209dIP+soGrgs/2xlY9%20XTzguq/gWNrIjP4M6dDNDNG2WF7ZI3YtewhzSOwhc84tOjN5WvAEAQBAEAQBAEBoHvs4t9sN4IIB%200NGIrxVvwSrlRMZqqPgA5ru5bkQ7N9Lm5223dcXNxOTp9CgAzJxXJe7s63jY6nPYPIjb/UfSe59V%207luYdFF/s9uT5R5qdpC+F8l7nv3axh6I/t/E1xvSurT0mCmti4mjS4HOpzXORu61ZEyMHyrRV/eY%20u922Rw1AUDsgOXapdu8jm83irlK00ZiZbCRrj6YOntUy3f8AE5y9gST0RQ0TsGIo3MKfaz5R0WxE%20ePJKrQbcuGBU63ylNDS4vqXG3WVVNhyj0qY+JeZLUKysZrfUxcS8JAMyrq3lxjSrqa3GpW2SuXwU%20u1m10Rg7ZUCp9q75b7muUaFbVY23X7fsNbKLlwEek4B2FeSlwWplbWpirqV4DqGpIrXiO2qlQiid%20ZgmQ33U5oBXE4kYUW5QRLjZiQJN53GNwNrVkwd4HjMU/Eea3rHg/1bE2zYjFqVdvtoTIffbqvpkO%20nv3i9tAP8KV2p+H5TXBQ7/B49xaPwf26HX8VyF2qi25/M+jOm95bvWx2e6NjMLbuJsgjdiRqFVw9%206HhJx7M66LqjJLWZBAEAQBAEAQBAEAQBAEAQGne8Lx/wx6mGqh+Qm4gfh7VZ8L/vLX86MLi9LPz2%20dSpwwwzX0C7TyfzIZlOl76fb+oduv7enrWdxHNCXZamOBFVWcpJrGuNdIsm8bZjdybduW0pJP8Tt%20Tvdnq6e5fNe3brhr36/SJ8LaGoDRyXwbOx/7nWbPtkvbOKl4wj4mx7P7xMLCNwtxrJFHtypXiuey%20OA/yMoMv2fHyrbZB6g91ryX14dvcGW5poc6pJNcdNFvxeDiqOe5OwPbUIpOa1NLuup94mJPzLgTU%20ucDnXmrmGHbXQ6K1x1qP+ExxvrkkEyONK0qcqqR9OPYl/SglsU/MzadJeaUpnw5L3wR79ONa0LZd%20Uk8SsqGxabHiA8qvTyp56hzbwzKUMHOuxWZZnNaHPJDfKK4Cq88UjyMFubV0j7n9XdMPaLG7MtoD%20V1nMS6I/BSbOTO3syo5LgcbLXqjSXdbnfeiffTpbfo2QbhINt3A0HpyV0Pdx0EV+9XVjNhc02Z84%205T2rkYzbgvOHdHSYpYpWCSJwexwq1zTUH7FMOYlFp0ZUh4EAQBAEAQBAEAQBAEAQBAEB8+fUf7kb%205YX0XSm3F1mx8bLme7Y+jntcTpaKULaFuar82816TsvbHHQkvrSo3WiTNO6O9/8ArfYGw224Nbuu%203R1q1x/jHD/pfEVEtZjiqVr8y85D2zbu1ko+Mn1W34F/qb6guqd8kkisZBtlq5tBE3CQf/EwWGRm%20XJbaIk8V7aw7f6/XNd9F+Bz24uri4mdNcSOlmfi6R5LnHvJVe23udjCMYKkVRFupXhlUj3l0IGhg%20xkf5QtluHl8iJmZStKi/U9jHvB04jHM96kIp5rQoa5zcj8OdV6zCLa2L7Jq54VwxWDiSoXql9krs%20ge6v3rW4kqN17JnssFncf40LXmlNVMad6lY3IZFj+nNpdq6GnJ4/Fyf6luMn3pr+JBl6Y2uQExl0%20ZyFTVX+P7xyofrSkc/f9jYU/6blH5up7tuwy2FwXsnDonCj2UxKw5f3FbzbChK3ScdnU94b2rewM%20jzjcUrcv1Km/Y2PZN23HZdxh3HbpjDdwnVG8foK5eNxxdUdXkYVu9bdu4qxZ9HdBe/ex7htWjqWZ%20tlucGEjwP4cg/OKYN7l0PHX/AO4agv1/mfLPcHtuWJW5b1s/tRvFj7jdEXrNcO82oH78rGfpKuLn%20G5EHRwl+ByXkjN2+4WFwxslvcxTMf5Hxva4HuIJUSVuUXRpoxV2DdE1X5khYGwIAgCAIAgCAIDg/%201f8A/kTbP/Hf/Tcuo9rf1Z/y/vNF/ZHxyKE4mg5rqUaTvX0dNr7hbk6uA253HP8AisXO+4f6a+Zt%20tbn2IuQJAQBAEBHvL+zs4jLcytjYM6nH7FlGDlsaL+Tbsx8ptRRpe/e5cULXx7dEXvxDZHZd9Fa4%203FSm6ydEcbne84JuNhV/8nt+BzLf943PdHh13M6Z7qkMcSWAcTTsXS4uPC1pFff1OSv8leyJN3Jf%20cavcwl2DS3SK+JwrUcwrK23WtKGcJUMRNbMq4PaHBwxcRm3gpVua6PqTozfQgT2waCHDU1oDQRnp%20rgB29qkKRJhcqRJbJ1HMwd4i2mWQrXFbFM3xurchm3OBaaBuIJ/N2nuW3yN6mR5LVozGTqMAzcFs%20UzarhHdb+Zrs2t1Oaf0LYpmxTLTmksIp2YjBZJmxPUoewmhpWgyGZ7O5epnqZZLaHHPSQT2c/gtl%20TYmW3B1TQ5UOk8QOKyRmmWnVx4ErJGaLTq1IwJpUnuWSM0W3c+WOPaskZIpoRyJxOK9PSh1AKuwH%20Mr1tLczRvftx73dadNbrZ2FpeOvLCaWOF1rcEvYxrnBvgBOGa4/ncPCuxb8fWusdPx7k6xOa3Pug%20GoBXy0nhAEAQBAEAQBAc8997qBvtnu7PUaHua1tM8a5YKdw+XahmQjKWsq0R5ci/Gp8CEUJC+iSV%20G0Qzq30623zHWMrCaD0hX7Svmv8A9oz8ePi//I8WL9aai9j6VfLtdm0/MTsjIxOIwrgvz2oXJ/pV%20Tocbi21pFkN/UXTTHtY65aC92hpr2Vqt6w77WxNXBTaqosM3zYZSWulaxhGBdiCfgvXiXlsjC7wM%20qU8ako7fZTxNkY5j2ONW8itP1ZxdHUpMnhIbSiq/IjTbC0ggNAwqP6ltjmMp73tuDWiMVdbK6uID%20qeKnHBS7eUmc5l8BJfHqYqfbpmuo3D9zkp1u/RaHNZHHTT/cRiZWEca4A8MFOt5zRXTstFbJjWjs%20+KsrObV67mpokRvHNXmNkLua2iSx1Qukxr3xNMkXWlXVm4n1I7QewPxzOQByCsIXAnQjS2GogYOb%20XAHgt0btDdG/QhXdlaW8Tp7iURNGJbX9S9llqJKs3pzfjFVNF6i6xDGSN22EMcBpM76Ej+xRI5Xl%20ojpMHjHVO46/D+Jy3f76WeGQTSFzh+apJJxwUq2m35Pc7DDtJNUR96+22r/I2zas/lY//dC4fKp9%20SVO50Ma013NlWg9CAIAgCAIAgCAIAgCA1zrfrzYekNrfe7nMBIWk29sP8SV35WrVduqCqybhYF3J%20n4wVe58zb99Q/X+5XJ+SuBt0PqamNhHi08GmtVWyzJ6ndYvt3GgqSXk33NN6h616s3qxuYt03We6%20ikGp0cjvCSOwKw4C/OWfZTf+NEjk+Nx7OHdcIJPwZzWTGR+dP2L63edZv5nyBPQv7YD85AQTUSNw%20HHFVXK/7W5/I/wAiz4f/AHlr+eP5m9OlOo9hXxNI/QUrmo9UJ4j6p76mGGKUPfqAO7EoeqRVXivD%20Ko/oUPT0leBspJP7F6YuooK1OaHlAByQ9SLjInuyGHNYuQckjN7V0Xv+5gOtrZxYSAHnAYqHf5C1%20b/UyvyOWsWf1M2jbvaHdPUAvz6ZzAH4qclWXeet09GpSZPui0lWBunS1t1n0vPGyHdC/bw4l1pKa%20xhtcNPHvW+x7nnBelVOS5bl+Pvazioyp+pbnUNp9wtmu5Bb3Lxbz4ip8jqcW9i6zjechktRacZs+%20fy5fE86KaNojkjkY2SNwcxwq1wxBCvWqE+Mk1VFS8PQgCAIAgCAIAgCAICzeX1nZQumu5mQRNBJf%20I4NGHevJSS1ZnbtSm6RTbOW9W/UJ0vt0Ri2UO3K81FjiAWMYRxq4eL4Kvv8AIQivTqzr+N9m5F51%20u+iP7X/A+cPcLrDc+reon7puIYJfTbFG2MaQI2kloPM4qvd6VzWW51tnjLeGvpQ23+81yKaaGuh3%20h5LGUUyVbvTt7PQlNmtrjB7QJPv+1aXGUSwjet3d16i8xj2eV+ppOTs/tWLaZIhCUdnVfEqL5RXT%20HXlisaLuZuc1tEjTQPc/1HYuHDktsZaUIN6w3Lye5aLKjHDks6mhwKPR7V75Gr6I9E808jL6LKgx%207eK8qjJRki4Hu+J4LGhuU2XmvGA+9YNEiM0XGvOQWLRvjMraa8V4zZF1KjG2RpY5oc12BByWVu7K%203JSi6SXVHly3GcXGSrF7pmLm6Uur29gj21ja3DgzQ+jWgnjqNAAvp3A+/pqKs5GrW0v4ny/3J7N8%20a3sXVdYfw/gfQft77M+5exbVHL/O4ixxDo7AVeGtIr4JA7SFnzPL4+XtFqXSS/eup8q5DgPqy8oy%20+ncXVaHaul2dSw2zrffHRzSx0EdzH4Q5tOLak1C5dKmm5bYkbkYUuOsu5m1kSQgCAIAgCAIDg/1f%20/wDkTbP/AB3/ANNy6n2rX6s/5P3mi/sj45wxr8F1BpO8/R22vuJuJoPDtz8T2ysyXPe4f6S+ZttP%20U+xVx5ICAhblvG3bdC6W7mbGAK0rifgFhOaiqsj5OXasR8rklFGk7t7lSyF0e2x6Gnyyvxw40otl%20mk6dDieR95UrGxH72apeble303q3czpXH8xqr7Ggo0ODzeQvZMvK5JsiTQhwcQS1xGNMK96soyoQ%204yoYy5hfpDZBo1fl40/apUZLZMmW5LdGOmshIahrmvNQ2pGkAZKSrtGqkuF2nyMdNaEjVI2gJLT2%200/YpCnp3JcLnYx9xZNbqe0UIAbrHEcu9SI30SYXW9CFcWVDoB1PZ4S52IcOTlIjPqSIXepEktGuM%20jYsWHAt4MdnULYpdzcrjVK/9yI+2wLmmjdGsNOdK0otikb1c6fEiTRhzHVbV1KcjRbIs3xepYngc%207UAMHDV/eGACzjI2QnQiyQkO8AJbSoPdmtql3Nyl3I5iBwAAbQg88VsqbfItGMuGHiBz4YtyCzqZ%20+RZMZcTqONKg8MMwsqmzyoWzE45txFP/AGll5GXkeG3IYS4YNriSMKcl5K6o6tnqnV6EKa8iY0tj%20AcSAdRyKrr/KxWkNWSIWm9zHXFxLLQOIoOAyAVVeyZ3XWTJUIKOxJ6cJHUO2mlf9riwOP4woeQ6W%2038iRDc/SlvlHcvm5MPUAQBAY/f7O5vdnu7a1mfb3UkbhBPGaPY+mDmk8VhNNxdDfjXIwuRclWNdU%20z5G3D3K9ytvv57Obe7sPt5HRkOcK+E0xwVDK/dT/AFM+tY/FYU4KStQaZZHux7gk/wD79c14jUP2%20LD+5ur/EySuFwX//ABQJln7y+4NtFMz+byyGYUD3mpZTi1erLupbmu57cwZtPwSp2/eYPeeueorr%20Zry2urt1xFckun9Q11OONSpftrDty5O3cf6u5Xe5uJx44Upxik40ociePG7vX2y5+t/M+OLY3P2r%206iu9h3uW8tsSY9LhzrUBcJ7/AMWN7DjCX+Y6j2rgxychwk+hsd7ve5Xk0sss7z6rtThXivmVvHhF%20JJbH2a1iW4JJJaEf5y4Ly97y9zsy4lZ/TRt+lGlEXBul+0BrJ3NaMmg4BefSj2MHjwe6Nj2j3A3G%20yh9J3+HXIVqDzVff4yE3Uqsnhbdx16m4bH7p3GstuHeu84+kc2tH3KoyeEi1poUOZ7djT06fE3ra%20N9sN2ja4N9Ov4sNJJ4KiyMSdp9zk87ifpvUlXe2xOrTjx4lard9o5nN4q3Ov2Zg7zbGitBSooOVF%20YWr9Tjc/iPCrRgri1exxoDUcOFArC3dpqjkcnEaZaZLoOBqOKtsXM8dSvlGjJMdwzAK+x+SiqI1u%20JeFyOwdqt7fMpa7Gt2zx9/BGCXvDQBU1PBb17gjoup5HGbdEa3uXXNdTNuAfQ6RM7I9rVMscjcuN%20Pp3LWxxKWtz8DU9yvbm6e+e4uHPLRUFx+5WmND/N+ouce1GCpFUNV3F5IDHYEGob2K6tIurKNY3W%20TwzFxIJIDWuxAHECnNWVqNKFvjLVH397aADoXZQDUfKx4/3QuEyv6kvmXcVRGzKOZBAEAQBAEAQB%20AEAQGs9edY7X09sF5cTX0dvdiM/LtJ8RfwAC1Xb8YLVljx3H3Mi4kotx6nx9v/V/UPUcrJt8vpL1%200QLWOfSjWk1oKALn71yU3Vs+ucfhWceLUIqNd6GIfHG8amgB3Aha02idOEZarci3UTjbyNFHEtNA%20rjgbkYZtqUnSKmq1KTmrUniXFHVuDNPnaRK+oNa0xzX2W+6zb7nxCjWjL1gP9thJppa9oJdwxVXy%20v+2ufyP8ix4j/d2v54/mbm9/iNTQ1y7F8WSPvEp6nnq041x+5PEx+qeicA/rCeJ6ryK2SajRorzX%20jRtjOuiLzA+p1fALB0JEVLqVfoXhsPf6BeA8wQHqAqijc+RrWt1EnABeSdEYyaSqzoPR/TwkeyZ0%20Bkia5uokYHnXuVDn5VE1WjOW5TOomq0Z1/Z/RFu5kbA1zMHGgAPJchkVrVnCZflWrZfmimfkaHng%20sISSKe9anLaqNY32TZLNpffXgL6mkLT4seSuMWV2ekY/ec7ne31J1uTfy+ZzTqHq6Qtnt9ui+XhI%20IbKf8Q8+zFdnw9q7GS9X8Dkr3GY8Zabpn0V7QXElx7f7U+SuoRBuJqcAM13N2NGdvgwUbSSNyWsm%20BAEAQBAEAQBAY7eOo9k2eIy7leR27RmHO8X+iMVjOaiqsk4+HdvOluLkcf6v+o+3h12/Tdr6srXE%20C7mxjIHENwKq73JpaRO34z2RKVJZDov8q3/E411D1r1N1C9x3XcJbiIuL225cfSaTj4W1wVZcvzn%20uzu8LisbG/pwSffqYOq0llUxV1U3zh+EtFFKh+koMr+u+1C0WrKpocSgtx5cisqmtx1L8N29tGyD%20U3MnitcoLoSbOVJaS1RNZMHCrTqWlxLSF5NVTqXBIMj9qxobFMpcxju0L1MxlFMtOgpkaHgVmpEe%20Vimxb0yjnQLKqNXjNCsn9O1NBWQo45inCvcgo3uVNjOFcOdFi2ZxtlxrR9uKxbN0Yk3bbGW8u47a%20MHW86ady1XbijGrMMm+rNtzfQ7DtHt3sENlFJI0umkaC9sniA/rXKX+UuuTS2R8tzfel2F5xr6UZ%20C+6K2F1g6KFrWuLdNMBjXhyWi3yF3yqxb94qMvKUjY+gN33bpx0e13l4y62RmET3VMkde2vl7KLq%20eN9zqLUbqdO/Yq+V5jAyE7ifjd69jq9tcwXMLZoHiSN2LXBdrauxnFSjsyojJSVU6lxbDIIAgCAI%20AgCA4R9X1P8AIm21r/v2H/ZuXU+1V/qz0r6Pw1NF/ZHxxhjX4LqDSd5+jzWPcTchUgfy5+poy/xG%20ZrnvcSpbXzN1k+tN26g2raoTJeXDWYEtZWpNOVFw+RlW7SrN0NeVnWrEfK5JI55v3uneXBdDtTPQ%20irhO7z/Ci5+/zcrjpbVF3OK5H3bJ1jZVPi/3Gnz7hdXc3q3crpZTk9xqsbN9t+p1fc4/Jyrl+Xlc%20bky5G8c10GNfSrqRGi81wpgruxkqioaZQK6gihxBwKs7d/rU1NUKXxMcwta0Y0GPIKXC7qFJpkWa%20xNCdTQzKmOKkQu9DdG8QZbeMtDJGUbHgByW6M6arQlRm61T3IM1hTIhgb+M5EcK9qkxuy+8kQvEG%20ezLS4EUo4jWOLuNFujcqSIXa/gQJ7OlXtwBdjyaFIhdbpoSoXehCmtnCU+qwaS2hrnn+hbo3E9ns%20b4z00IktqzUAQJHtOun4nMyoTktqkb43H8kQZbL8WoOaGmRuB4GlO9bVMkxu/wACNLbuDyHN01xJ%20414FbFI2xnoR5LNpDyBmQRTOgz+1Zq4bY3Sw6wkJpQEAilf6cFsV1GxXkW5bQRtL5dLRxJ7Ml476%20S1ZnG7XRGIu90hGpsLdTz+PhUKBe5NLSGpOtY76mJubqW4cHSEE0AwVfcvznu9CdbtqOxGdicDQj%20McKLCKNqLbqAVGAPlWeu5mid01U9R7YW0DvmYaAf2wtWRXwlTsbIbn6Ut8o7l81Jh6gCAIDG751J%20sux2j7rc7uO3iYCfEcTTkFjOajGr2JWLh3b8lG3FyZ8c+5G8bVvHWW4bltUTobKdzSyN1ASQ0Auw%205nFc9kTjKbcdj6/xOJcx8eMLjrJfb9hp8zi0YYEVNAsYozvSaRbhunnw6qEY0WcrfU0WcpvSupeN%20xHLG6GZlWHOma3YeRPGuq7bfqRnkuGTalaur0vtuQZdg2ud+pkjosMWimJXRW/eWXH9UYy131Odn%207Lwrn6ZyjptoSNq2YWF06Vkgkjc0DHMFaeZ9xxzbHg4uM6/cSeC9rzwcn6vnGUKfeZbVQ0pXuXJU%20O38j0LwyR6h6EBVHK9h8JpzC8cUzGUUzYNk6r3iG4hhbJqjDxpHJQcjCttNlXl8balFump2TpLqC%20WezaLt7Xay6jRWrQDmVyHIYaUvScFyeDFSfijYri1jkj1YUdy5cFWQm0zk8rEjJOqMJebdEXVrTh%20TiVPtX2cjncTBuq0MVPtDSDRuPCmdFLjfOayOI+Gv7SJLtT4xreSyMVLiaYBb4ZL2iyFLg7ldmaz%20u/UlpauMNnqnnGb8PTB/SrKxj3J6ydDOPCpazdO5qVzeXN/J607y8keBtcGn8oXQ4dhRaSRJt2o2%20lSKoVRBjhwo37P8AkXUYkHT4Mxk2i3eOHonNrDm7gD2LorEXpqbbS1NavyDICBQUyVrb2LW1sazf%201+Xdp01x1c81YwrUt7P6j9AfbTT/AJE2XTWnysef9kLgsr+rL5lzGlNDZlHMggCAIAgCAIAgNE6k%2096Oidh3b+V3Fw6e4YXNuDAA5sT2g+GQkihUe7lQg6PcvcL27lZFv6kI+n49TlXWP1F7vuDZrXp6H%205G3cKMunf4wx5YtVZf5GT0jodjxfsy1Ckr78326HIt23K/3KWa5vbh89xKdT3vNalV/k26s7JY8L%20dvxgqJGKjNYyOZy4rN7kS2/SVlxDgTwFCiVTOUqNMszPHicDQ8BxWUUR7s1qzHT2lnK4l0YDiMx+%20lXeHzWTjqkJensczmcHi3nWUaSI7Nvs2SNe1ziWEOFeYU/I9zZF2EoNJKSoV+P7cxrU4zUpNxdfw%20Mj83JXyimZ/UuZ+mjrP7uXYuNuRyx/NwNVi4G2OR8C+ydtB4BULBxJML67IvNuDQ+GgwP2rBwJUc%20j4FwTN455LHxNqvI99QcivKGXmeh4Sh75mQ2+3sbhzWzzei52Gp3l+Kj3Zyjsqmi9dnHVKptuz+3%20bNwLXRXLHu1AhlfMziQqrI5X6e6KXK5x294s2/afaq0tHxyyyn16EkuA0tNcFUX+clLRLQ5/L9z+%20VVpQ2+z2a3ijjha8MYAdQbz/AK1U3ciTbbRz0uUjN16lndNz2fZ4qzXhdIwHTbNpqcDmFlZsXLz0%20j95plmxfSvyNF3nqzeL2sdlqtrFmZHn8f4T2K+x8C3DWesjyWYqPp8TVdxc5rm1eXPxJDjUdtO1W%20lpVOS5bLbZgrsl0MzuDmvNOymC6fh7VZpnITm3NLsz6o9kv/AE32j/VD9AXS5n9Rnb439NG9KMSA%20gCAIAgGSA1/qvrvpvpi3Eu6XTWPf/hRNqXOPwqtFzJtw3ZY4HFX8uVLcanE+sPqL3e8Lrfp+3+Qt%20yCHzS+KavBzC00Cq73JN6Q0O/wCM9lW4eq/LzfZbfecm3Xed13a5N1uV1Jd3BzkldqNFXXLkpusn%20U7XGxbdiPjbior4EKqwN9RVBUIeGKlcX3b+QwUpKkSiuS8rz+BSRwyovTBooIBXpqaqUklemLbPW%20SvYfDhzARxqexuuOxJjvGOwcKHiVqdtk63mRe5ID+ZqexYUJSn8SoO+5eUM1IZ/1IDymRp3IeU6g%20N+Pb3pUKJ6G/DmlT1RL9vGC7hyIPNa5MSN/6I2hsM/zUsfjDQ5hOOZoTVU2deqvFM+e+7OY8YOCe%20hvl5ugjaGQCjQKN/qVNbsV33Pz5yHMSbbRGY+W4jMkjg3CrnE0FPitrXi6EC2531X8TBbt1LtO3z%20ejFI+6maaPDDQN+JU/Es3NJUS+ZtlxLf+JpdzePYbqPdN2u9wZcy0t4x/CgbXSMsac19EwoUtLX5%20HS+3YfTcoJuh2ZSTqggCAIAgCAjbhuVht1u65vp228DakyPNBgvG6Kpst2pTdIqrPmX6mPcrpbqf%20pez27aLl0s0N4ZC9o8LmhhFce9dF7QyVcv3Ix/8A69/vJPJcPfx7Ubl1ePk9j5lLHAAnCuS65NPq%20Uzi1udV+nfdrzbeqNxltH+lLJYvYZRmBracPsXL+7JeOMnWnqKD3DyF3GsJ23SUpUqdau7m4uJvU%20me6WQ8XGq+KZs/XV6s+dTvXLrrJuTLVJPyKI8h9kY/SfY9Hqj8K2QzJR0DtPsVsme3AinYptjkqb%20mLttF1l2OOPKitbHLqu9TW4kllyDTHNXmPyu2prcC82UFXNjkU9zVK2XA5WlvJToqmpxYcGvaWuA%20IPA5KXC6eKqZFk2+o1MIDz5hw+ClK6b436b7EKa1e1wfI04CjW8Aefet6uroyRC4mqIgT7c0NrGS%20aCjRxLq8VIV3o3uSYX+5BuNvk1FhbUu8GsceOC3xvdntuSIXluQ5NvjOotJaeA4LdC838iQrzW5F%20ksJDiWh+l3hpz5hbVfj33N0byI52x1XM0EF4IaPyg50W36qNn9x1qRryxs7aMyXFIWtYaV/Ef2rG%20WUo7s3Wrs5ukdTWNy6itwfTs4W6RT+K6tSfgo08909JcWMGW82a1d3k1w8uleTiajgAojnKX6nUt%20rdpRWiITnOJOZpjhlRZJEhItOONK1Gf2rYlXY2JFpxDjQ1FM/wBqyT7maLZIpjXLhzPFeoyJ/Tv/%20AJh2wHMXMIFP9YM1qyXW1L5Gy3ufpS3yjuXzYmHqAt3FzBbxGWd4jjGbnZLXdvQtryk6IyhBydFq%20zm/XPuXutrbSxbJa6A5ji2+mwbUYeCnHvXP3/clmvjaflKp0vF8LbnJO7Lr+lfvPmjfN53Xc76W4%203G6fcXEjqylxwr2BRndlPVs+r4mNbtQUYRSijDSnEnMgYBZxF17mOneS3xY4qRFFNek2tSPDUyAD%20PjzW6aVCDYbcqf8AclPZwOI5rQmWM4dGWsW4/CpWRp1RdZIRi005hYtG6E30L7Lp4xJ7+5YOCJUM%20mSJDLoGmrjkea1uBLhlV3L8c0dakBw7VrcWb/qJ7M3Tp3Yuk9+c1huH2c9NIiwq93ZVVGVk37OtP%20JFFnZ2TjKtFKPc2B3s3buAcy+Ok5EUKr17ga3iUE/fCg6Sg6l2w9pbeKjprtpBrqaDwHEdqxuc63%20tE0XPfNuS0TRumzbFtO3tLBIHgNpHTgKYlU+Tl3LnQ57K9x27r0ku5mXbhbNjEbX1AAAPYOagqzJ%20utClvcrZ19S1IE19CKmgbQ+Y5KRGzIpLnJW66Gtb11vZ2T3xWrfmLoUx/BU8CVY4/GynrLSP7TH6%20zdXFbGi7xvm57jI91xI5orURNyb2BXljHhbVEiNLZswEzakvaTq40zIVhbKnJfXp1LbBV2mo8Yo0%20cOeHYrPGeqZXMlROGioNGfhHL+tdNhQdKd/tqaZLUi3pDQcchXUF0Fhakizua1uDnNc6tAWjjw71%20a2loWtlGubnhE5pyb5Q7tx4KfbLXH3P0C9tDXoXZTSn+yx4f3QuCyv6svmXMXVGzKOZBAEAQBAEB%20qXV/uh0l0u17L26E14z/ALjAQ6bHiW1FAo17Khb3epccdwWTl0cI0j/mexwzrP3+6l3n1LbagNts%20TVupuMj29pOXwVTe5CctFoj6Dxns+xZpK565fsRyV880ssksjzJI95dJI41JJ4qI9dzora8dI7Jl%20qV7nR0Y7Q6lQ7sWUY66mF643HR0ZVHcteyoNRxdzXjttGdvJjJaM80tpVuWYpzSo8VSqKXghlD3r%201Gua0MYJnuc4n7OSk+KKRXpNupbc8CtMv6VWSRqlMuxQPcNT8G4Yc1g5djfbsN6y2LhbT9ixqbnG%20hRi0eEYV/SsjXqtjz1ZRlSgJAKeKPPqyWxcZcy6gCK8weC8cEbIZEq6khkpNOHJa3EmQusvNkNMM%20hjRYNEiNzTToXQfs4rAkplYJ/qXhsTZndj6mutsmidE538M51yHJQcnDjcTqQsrBjeTTOh7X7tbM%202FsdzI+WU+FkWFSTzVBe4O5WsVRHzvmeDhbq/wAi3uHV+5XtTbB1pYhwDpG4vx4UK2WsGEN/VI4e%20XFy+prL09jAy3MTXMcJnOmY4uJkxpjUFTowfbQt7FhRVKUK4LwOkwq2ofrlbiXl2QocFjO3oe3ba%20UfwMbuAIexpoAwGrRji4c+akWjkOUWvwqYS6q23kOknwubhzAXVcO9Ujm6ev7z6q9k//AE32j/VD%209AXQZf8AUZ3ON/TRvSjG8IAgPHOa0VcaDmUbFTXN76/2DatTTJ8xO3/mos/tOCrs7k7WOvU6y7FL%20m89jY9U5eUl0Rrh633DcxRlIInYaW1rTtXDcn7iyZ1UPRH4bm3i+VWRJaUObe7G2tltjfOHi1Cj8%203Ow/QoHDZEnKjdT6/wC2cnXxT6HHnmrqnNdSj6AlREKPcA+4dERRuTSt7tUVSBbz/K44U0JVVqJ1%20QgKJ5fTjqBqd+Fo5r2Mas137vhGu7IAa4OLned2LuzsUipUqLq292UnAdyGLKXDnmska5FJ5UqvT%20BlBP2nJemtsNoT8MkZ7HUvxEilDRa2Srba2LwdXDn/TBYUJClUuAjDHCmXcsTcmVg8szkvDYmVcQ%20vDM9A58c+xDJIyWyweveNY4VjDhr5YmmKj35UiR8t0g6OjO5bRZbZt+06pJWFj8sRTAV8PFcbfuX%20LlzRHxv3BCVx+pbGqb71hbyy+lt9u6VxFDKfKVbY+C0vWz5blcVK7LVUj+ZrN3e7lefwppnPY01b%20E3BhHIdqsIW4R1SLCzgKyvSun2Ri7iP02k6aNJoT+Gv7FJiyJkwkt0db+m0uO5blnpDaGnlrhn2r%20tsVUsL5llwa1Z35enRhAEAQBAEBz/wB8JtgZ0HeR7xqpKNNqY/OJQQRRRctpQ1Lv2/G48qPh958Y%20dQavk2Z4vxpllxV37Bosm43srf7zrPfVf7W3/P8Au6l6TbLe42yOAMALWVZ+YFU2Pzt3HzZ3XqpS%209SLDI9vW8rj4WlpOEfS/4mQ9nJ2WPV1xayij5oHRM511Arr/AHLBZOF5w1jufnr3hhzjZ8ZaOEtT%20uu27e66kqG1p5ua+AZd/xbbOU4jjXkvTobLB08aD1AKAfFVE83sd9je2afrVS87p2LEt004c1rWb%20Ilz9s2+iRCn6baBVsYofxLfDO7lTke1Ul6UYq72OVpPhpy5BS7eVFnO5nt+5DoY6W0nhdQ5DOuSs%20LOVKOzOfv4MoblLbhzXUJpRXOPyrT3oQZQaJcVyCKVpyXR4vJVVKmtxJDZAV0OPn+T1NMrZcD1aW%20smuxplGh5oiJrTGtfiVMjeqeVZYfYMOnSaU8ykRvPWptV5kaXb5S0scNYIrULaryN0b6rUsO23W7%20xR1riYuZ/Mtn1lp+ZsWRTZkHcI7CwhZJfFkJPi0g5gcF481JtVJNhzuukKs07e+sq+pBtsIih1Ck%20x87jT8K0vLbfp/Ev8XiqUdx1fboaLf3lzO50k8jpHE0NTjRZR1dTorNqMdIqhjJnk9vAjj2LfFEu%20KIrnUD/FoOVOJBzAW+Pc3pEd2osc2vhNPCOOn9i2JUZtW5bJrwovdafAyLTjStf7tc1lShmi24AY%20OzAFBxos9epmjIdOFzeottoQCLqE075AtGQ6W5NdjOG5+lLfKO5fNiYYbqrqCTZLFl02IShz9Lge%20ApWoVVy+fLGteUVWT0PHOEU3J07fE5zN1fLutxJPPIWshFBG38meS+a8jk5GQ07kq1/BFbj8nO9d%208E/GFenU1Hr3rSzksxawyfwWGryAKuNPL3rLi+OlGXk1qfV/b/HN0nu2cameXyOdj4iV10VRH0JK%20ioRLg0YSMxkt0dyJffpb7GPlqWfepEdynu6xFmwOeXH8K8uPQ9xIJtvsSX86ZfrWtE2ZZc2lRnwW%20aZHlEtlp4D/k7VlU0uIBfqPEDhx700CbqXGOPEd4WLRshJl6OUfYsHElW7pNs9xu7RxdBIWOPFtK%20rTO1GW5udJaSVTctk9ytwt5mNufFACDUEkimHFVORxMJLTcoc725bvL0nRdo9wOmN2hHqSG3uWg6%20mPoMOa52/wAVftPTWJwnJezrkXVLyXQyr9tZPA65s52yQ0qXtOAqoyvuL8ZqjOA5H2zet1cXQ0/e%20ep7SxeYYpjcSgEHRiwHtKuLGI5qrVEcxLAveVHLT7bGtP3Xd9ydSWT04qikQJpTnXOqsI2bcC84z%20jFF13+JcjgaxmmjiauIccwVjKbZ0qsUX26lq4iGkHFz3DBw4niCsosg5Nvx/ChhrgVY4Vp2nBTLZ%20z2Rpr3LbcMhQDCh5flVtiR1K+VK6EtgpUEYA0BGernRdPiRXik9O/wAjQyFuL9DhqPiIqaZjvC6C%20ymSbKNYvHUlflqJo3VkSrO2tC2trQ1zcHOELsc3UKsIItrC1P0G9ttf+Rtm15/Kx/wDuhcBlJK7K%20nct1WmpsqjnoQBACQBU5IDXOo+uNr2a1fK1sl7M2obBbDW6vbRV2Tytiy6Skqllh8ZcvSS0iu8tD%20hHXfu519f+rCxv8AJ7Mto6Bv+IWOyJJFRgqqXMK7pDbufQuH9u4cKNv6su/Q5TLLNLIZJpHSPOb3%20kuP2lR26naxtxiqJURbeaBEJvQi0bQkO41qtpBoqVqWpDQmuXFZIj3GRJGmOQvbUVxoP2LcnVUK+%205HwlVFcdzJH5vEKZ8fsXjimbIZE476khl2w4O+0rU4MmQyovc8ktbSXLwP4uGNV6rkkYzxLU32Zd%20i2+zZjTU7tWErsmSLXH2Y/Flx1vG7I04LFTZuljxexadZflPPFZq4R5YXYsmwdxPZgsvqkd4DPPk%20SMKr36g/smioWlM6E8159QyWJQuNtwOzieSxczdHHSLgj5YdvYsam5WyugzrhzXhnQjTbjBGPD43%20dmS2RstkO9yFuG2rMdcX08xOOlp4BSI2kinv51y4+yJW0yGGf1KBzgKtccQDzPJa7yqqFRlLzVGb%20E3fJA1oe8tBHjqaNDuBP6lAeKirlgxrVFl25SSPYTre8GgIGXa5ZqykZrGjFPYzmz3ILXNAIIPiF%20amp4hQb8KFZlWqb7Eq+Jo4cqU54rVaOJ5ZKr+4wl4XCCbSBRrXVNcMQup4f9SOVaX1PvPqn2S/8A%20TfaP9UP0BdFl/wBRnb4v9NG9KMSC3PcQW8TpZniONuLnOyC9UW9EYzmoqrdEaxufuDt0DzHZtNy7%20hKP8P9qm28CbWuhy/I+7MexWMPXL4bfeaXvfVe8bgXCSYxQuzhj8o+3FMq1C3Ghw2b7hy8lusvGL%20/wAK2NTuWjUeFVwHLWY77fboVltuplNheQ8tyaOWS47KWh2ft641Oi2LXuVFc/5f9ayY4uJAkc3E%20lY8RJfVpI++e2LkHcSb0pocHudQZLqHioartobo+m3X6HTsa42RzX6gTn4lYtaHHxuNSqZCC7IIJ%20Jc3KqjytlzYy3vuiYHsmZ5i0HDBaaUZYKSuR3aK2xsa2jeHHisW2bY24pURS6EOGIXvkYO1UtPtx%20yOGazUyPPHLD4XgnCpJwWxSRFnZkWjGccPisqmh22eeka1ITyMfpM9bERwRsyjbaLrWOw5ZfFYNm%20+MGXWtOR+FFi2b4x6FbWkYZU5LFs3Rj0KwMO7ivDNIrA4faF4bEi3LcwQg63+LiAvYwbNV3Jt293%20qWId7lbMTDVgH4h5lsljqmpSZvKykqQRsFh1FJ8vrnne5gwDnHI/lUK5iqtEjiszEldnV6yJrepm%20SPMDmaXU8p5fBaf7OmtSs/4hNVZPg3i2PgBa51KuplX8q0vHZqucc/1PRFrcJGyQNdGQWudqJGfK%20qytVTozmObw/BUSOofTexv8AMt00uNGgBwHlcSAaru8XXHRW8LpJo74szowgCAIAgCA53757RJuf%20RckbfLG7W+gq6gH4VT8xkfThHXdl97dyFayVVbnx1u1nNdQxMjaHOa/UWkkDTkrX2vylnDuXHcbp%20KHivmd17m4y7mWrcbaq4z8v/AIl68mMUVGYE0a09lFzkV5SqXmVdduFI/L7iFt9xJYbvb7tav0Xc%20EolDuBIFKFdBjc3dtWHYa8rbVKPocJzXtrHz/JyfjKe9Op12196bSG0LbWzEN2W4PccC7jxXz27w%20LnOspVVSPwnsbExmqS/Exf8AxN6m1SvbLQymoP5e5SP+Ks6Kmx3n/AY9FpsWT7idSGRj/XIaw1DK%204dv2rP8A42zTY2Lg8ejVDaNm94dx9WOK9OsVAqaUPeq2/wADbabjoU2X7Xt0bgdG2jqbat1irMBD%20KcwfLT8NFz+Rg3LT01Rxudwzg9V5IvX20se0uYBpONeC12shp6nF8lwkZp0VDW77atGpw+zmrS1f%20UjgOQ4l26sxbg6I4ZfoVjYyHA5y7aoXorjmV0WNn/EjtEtk2Ga6KxnabmDiXRIFbWuQ7mp2yoSDn%20RSo8hFbuhh9NkTcN72/b2F1zMGupVsdfE7uC9/5SOy1Zus4Vy4/StO5qu6dcXc8Tjt7fQYHaRK4e%20MinLJZLKnNLoi6x+HhH9fq+HQ07c7iSVxdJIXTPBLnOOY4hS7XfcvrEFFabGBu3VJjOqlQ6oGAaM%206KZbXUsLa6mMnpiACKnzHJTIrZEyBBme8OJ1VI8NRyK3JkmKI7yA6mLgBXU3HHl+1bEu5tSLDgaN%20cQQ11aVwFeNFmjYiya0w+9Z0My0afhJrUjHkFkviZlLsj20oOzgiPUZDpshvUW20FR8zDUH/AFgW%20rJa+nL5GyG5+lLfKO5fNiYaN7vOmHT0Ppu0AzDWRnTSVVcviO9aoujqc77kuuFhNb1OTWN5J6xEg%20oWuHqsyBC+f5WO4NxOa4rPavJ1/h8jEe5+zxvtBuDJNdfEAxoDagUoaLdw1918Gj9Ce087yikjlu%20t4wNcMgulofQFcYOl7dJTYOklRkN9rKTQGgW1TRXzxZt0Ret7cxRkVqTmsZTqzfYx3bjTqC0V50X%20lTJxLZirhkOCyqaXbKDE4frKy8jW7bBgcc6J5HjsNlQhPErzyM1ZKw3HEDn8VjU2qJWAQKnFeGaR%206XNbhw5ryhk5JFUN9JFMx8Iq8HwuGS9dnyVGQcrPtwi+pu+2X28iwd83cuLHUMcbDQN+yipsi1b8%206RR8q9w8tG4/QqFqK0fK/W/iSS85FHOiOJhZdyX/AJGSgETSAasjANCBU1p+tR5NnS4uIow1R6wR%20mnqPc3OtBXuXjr0Js4Omm5ZuiWwUpjSuGQ7a9qzhuUWa6Vq+pg7iha8nnwx4qfbRyuTKr+37Chgq%2055IzzHM8grnEj1exWt6Ikgfw3HVWjq154cF1WJCn/wCJq6mN3J+YbQGnifmHK8sqhMsqhrN4/We1%207qAcCeVVZ21QtrSoYC/1FkrnMBJIxHZxU2FCzs0qj9B/bVpb0LsoJqflY8Rj+ELgMv8Aqy+ZbRVE%20bKo5kEAQHMt46wu7y4ntpD6MMDzGWNNC41oDUYr5xzHNZNycrcH4w20/ie3eQt2EvD1S/IhXe+bZ%20tdiby+lZ4R5ABrPLBcgse7en4qrLjirN7KpR18jh3W2//wA33OSaNwMA/wAM0pgeB7l2nHYv0oJP%20c+r8RhfQtpPc1clWZdtlEp8DqebgFlE03W6aEd7qMpTHkFsSIk3REd9fjyPFbERJ1LMg1NzxzBWS%20I1xVRSBhjyXpikV8adlfj2rw2FbHDLIZgrFo2xki+2V2HH9axaJMLjqXWurSuBWDRIjIr1LGhs8i%20qvwrn8F4ZVGHJBoeYf1INAaBpJOA4r08dEiJPuVvGSG+M9mS2xstlff5G3B0XqMdPezzZmjeQUiN%20tIp7+ZO5voiOAthEoeoel6GQgU4dn6FhJGE4V1JImIbRooSCHk46q9h5LXQ0eJWyWSR2ILnmlXAl%20tGt50XjSRi4pG3dPj+I6hx0ihzGSqsoo874mRv3v9EDVUtNH1ABx5c1GspVPn3LS1onoYHddbNsu%20nx4uDXtGrDh+pdx7dtVmjl7Ot1J9z6o9hyT7W7GXGpMDan+6FbcgqXpfM7y1+k6AoRsOY+8t+60k%202ZussbNM9uBz8ORV3w8K+emyOS92wcrMeyZq0VxF6QEY06RTQcx2FZ3cqKr1Z8vlWupZlfWtcyqL%20Lv8AluIogz4uJ4ZhcfyUHKrW25ug9T2yvXWkoeB304rlb1qujLfAznjzUkjZ3zM3HbnRMOJFS3j8%20FVeDtzqz7F7e5u1Ojr9xxzrfoi62sT3bf92cHOcT+EnGh7Sus47kI3aR6n2TjuZhetuPWhys5kjg%20cV0xVvui5FIWPofKc6rGSqbrVzxdOhMAcDqbXmtJYpNaokR3RJxFFg4Eu3lEhkwdxWtxJsb1SvWO%20fesaGzyFAcOeOCClSl0Yz5fcV6mYO2ikxCow7l75GDtI89MU8uCVPPp6bHvpnEZj9CVPfA9DDl9i%20VMlA90dq8qe+BYnvraHN2t/ADsWyNuTIl/OtW9K1kY+bcp5DRp0NPJb42Uiovcjcnt6URDjUk1/W%20txAZUyTSagLxqoqXBcDiDTgsfAw+nE9bePbqDSQH4O7QvHbPHaiyRaXMpOiOT02uNHE5fFYTgupq%20u2o0rubnajVaxueQGFukvGVVVTerR899xNKtTqX017naXPUG7Qska+aNlHcwMMuxd1jWZRxYyexz%203E2ZKsmqJn0OsC7CAIAgCAIDTfdieODpG5klJDADqIzxCoPcEXK3FJf4iXx9f7iCW9T40oCQQMzz%20wpyUQ+4RW1CDuLwS1vDMrfaVCs5CdWkRMsaraV5UONRj2LwzRehmuGOHpvP9krCUU9yTZvXIv0sz%20Vkya6Aa1v8UgnRxNOSiTpEunlwhbU7jUSbBtO6PlAjgeHNxBLSMVqd2Pc1vksbxr5xafxOkdG9K7%20/C2KSV7msedVXDBnP7VQ5+ba1XU5bleVxnVKmh1SIRW1s2N0gkeBUuPbmuVk3OVaUOCy8qDddDDb%20hNATSopj8VNsQkcTyuTaapVGt3phc4lp8P3ditIVpqcFmODba2ILCQcFKszaehVMvNlI4q0t5fj1%20MKEW+6gsbEETzD1KYRjF32KXbypy21qSLOJcubLTua5e9Y7lckR2lLdrzg7NxHcVZ2ouWk2W9njL%20cf1epmFDi9xeXmWQ4t1GpH9au8WCS2JzVNNkXpwAKCgYD4D2cfvV1ZVGjyO5ib8gSBoNa4v51U+C%207kuC6mEunjEB+ok5jj38lOguiJ9tfAx0xoSS2pGdMuxb4kqBCkc8NoMGux+ztW9bEiKI8hiLiPFp%20pgRnq7lsSNsUyOQSK8BmORWaNqKH5fEZrLcyRbc7HVXI0Cy+JlQoNRXmDmvd9TIyHTdW9Q7a4Uxu%20ogOP4wtWS2rcmuxnDc/SlvlHcvmpMNK92Gl2wQjCnreLn5TkpGPaU20zlPdzax40/wA37jjMrXNk%201EeTzur+H9a473FgOEvJdThLN1x1ju/tUyW4xSX+wOjYWOLRX03UFB2c1xdmSheqz7f7Rz1KK/cc%20W3W3EF4+IGuk0JyzXX2ZVjU+04s/OCkRDlX+lVtJDKSXVxx5IeNsrBwoSvDYmVCNp8pxovKmStp7%20A25AxacOPenkYu0luXxtV45upsTiCA4YVwKw+tHuanKCdKluSxnjbqkic0cyCFkrifU9i4PYtujD%20TRwoRzWSZn4xKXFra9v3L1HkmkRprprSafctsLdSDfylGpFD5biURtrV3LP7FvUFFVZU5OW2n0oj%20aumNsMUplcyjj+fHDjgVWZ16saHK8rlrx0ZtAZ4QxhAqdQYexVLlXVnF5L857fbuXmxaI3lrmmlK%20gnGrs6Ba3LUkY1haaEG5kPr6BqNBTAYNr+1SLcfTUvLcKol27dYDWuaC0GtTgC3hVaJuhGvNpMsX%200ulgDvECNQPEE9i2W0cxnXdPloYS4Ic5urKtTwrXKisbMWcrkTrL4lUbXUGvPVjTnzXQYNqjX4kO%20T7F97QDU0AIq7Sa0XT40NDCJhNymqXPNdQ4UoD2q5tRLGzE166fSjSQA7nnXl2d6sLaLK2jB3TgW%20ONdFQRicTjlRS4osba1PuX6eHuf7SbI50jpDpkGp5JOEhwx5LieVX/sSLaOx0hVxkEAQHzrue4Sj%20eLqGVwZGLl7mhvi0kPObuNeS+b8hjON2T66/A+dLkZfXcJ/p8v3lHXELJ+ng1sZ9RhGmbOokxJ+C%20quPk43t9H+4+y+0MnVanFp3yRTvYXagw6RwXYRSaqfXLN90qeNla6vAo4kiN1MpwJAqvTzctyMo4%20ONMcCs0zRODTqyO/EgNxdxBWaIc9dty16MxqNNADgs/JGj6M30LjbeSmVKZVWDmjdHHke+gRw7U8%20jL6FD0QkcMsPtTyPVZoViKmfmzXnkbFaLjWkV58CsGzdGNCocF4Zoq4fFeGXQ8dI1tSTQcyvUjyU%200tyJPuUTBRnjdT4fatsbLZX3uShHbVmOmu55j4nUbwAwUiNtIqL2XO5u9C1RZkegQBAEBdijzJWE%20ma5SL+gEt01LsqLCpg3oSraFpfG+rmitHNpUmnDtHNa5SNN2a1ojdtitpBCHk0DyaMDcQAqbJnqc%201nXaNlW5uAcQBQNrSmJr/T7F5ZR875O5WRhN1oNkuteHgPiOWIX0P2wtV8yjx9b0fmfVPsOf/tXs%20I5W7AMKZNCk8j/Xl8zvrcm0b+oRmca+oKR0dz044Au1XMjaD+xwXR8Cqxu/yr8znPckU7PxNRjme%20NEhdqczBjP2qn5R+Et6Lc+Y0VKE23uWXAFCPUp4mhVC/1JtL/uaJx8fkXvl2nEhZ/wDGqSq0a/Is%20y2gxpx4KpzuHhq9jOM30JO1+tHI0MJqM28aLhs6zGDaqdPw9y5GSa3XQidbdVdLybHe7dc3LJLx0%20EjY2NNS2Snha7vWnj8K+rsZxXpqvwPvftzHzJeM/GkPj+4+eGbXdvFS3S3E6iu9d6KO1t4FyW5Kg%202iMAOlJJ+4rVK++hZWOKiv1OrK5YBG6jfLwWMZVNt2x4PTYtEaakBZmhqhU15NAG4ZheNGcZt6UL%207HVwJqaVWtolQl3Lo/Tw7Fib0VVPw/SvDOp6OAyQ9QAx+9AkeEgDU40AzJQ8bpqyHPulvHgzxnhy%20W6Nlvcrr/J24aR9X5GOnvriYeJ1Bj4RkpEbaRTXs25c3ZYHA514LYRUOw5BB8GByyPNAhjiSM+KA%20HkTWmAovD1g8jmMkHzJNpJJHKJABVpyPErXNJqhpvKtU92bWyafxMcPBp1Rd3Yq+UVp8z5j7rlRJ%20I6J9J9f829QZ00jgNNfDx5r6FNJYUF8SLg/00fUarSYEAQBAEAQHM/qCuPR6CmBbqbI8NcK05cQq%20zk41jHWmpP4jFlezbSVaKVX+B8nE1IJ54cFUH21utP8AsQb9pMjdWBIW+09Crzo1kqkYigqedSth%20Ca6gD9iBIk2zeK1zZOxo9SV8xLDI0MrUcW4Gh5ELV4polXZf4ZLyR0vpDqSDcomW1yRFeNAETiKB%207RgceagtW7L/ANSH1LfzpQ+B+9fZGTYm72E5u1J6x8no32NxZ/NLWMeq9/p46Wmrag5UXQYeBwOc%20vQ/pz61f8T5Tk382x6Z+cfnUvRvnladMzwcM/wBSyu+yMaWtq4pL4akCXL5C3ky1LaXLz4pSVXz9%20mXIuilVGmWfKe7LY2yQnE1WUfaF1buppeSjGbpue27bVsry+XECOPxGvIrTe4P6K1JljFuXdVt8T%20Utw6n3O5fphpbQ0oWt8TifjxUT+2gn3LuzxtuCq/UzEEOe71XnVKcC4mop+ZSrSWi6fbQsNti5GR%20qpTw0qw/u9p4KxsGBIjrVtKeocjw18+6iusfY1SKZA0lpAIBGRyHcrm2qujPYoxF29gcdIdRubSM%20R+1ToKpMgqmGu3ODjSmk4l1Kaj/Up0E/wJ9tGOmcMSaurm3Kq3xpoSoIhyVJqQSw5NOA7QtyN6Ix%20NSDwNaDlTgtqVHsbki06uo1wWSXSmpmi07Qe2v2VC9RkiiuJd8HLNb1RmU4CgIwGdOPamzPSf03/%20AOYdtJFaXUVRl+MLTkOlt9qGcNz9Km+Udy+bEw0f3dkEfT8Djj/HFBWlfCVYcdHyk18Dl/dca46/%20mORP0SReo4YPwIHAqNz2C5W2fO4NxlRE7p6QSE28rmkkF1XUAqMAO5fHOQtO3J6bM732nmOE1BaJ%20M5n15tj7XdtAi0MFau/CamvmXQ8de8rdan6P4XIU7SNU/rVkXR7xQ9H9aHhJ2+1lmuY2sbUk5HCo%20C13JpI03ryhFutDr3TXSu0uZH/MLcOY9odGcnAgVxHYuVzc24q+D2OC5X3Bds18ZfvNutto6bMZi%20bbh5cAPUGGIxHcqeeRfrWpzEfdErkqVb1IHUPTO3PhAZFGXvaXacBqdTPsUjDzZ11bOg4/lLj1bf%2027nF+obe2iuCxg1THFzGYinYQuyxfJqvQ7G1yEYwrJ/x+Rhhs19IGumHpxPGRwIU1XYJ0WrKnK56%20MqqB5H03cPJFMAKtaDUl3espZkUQZZ8VR1M7tPTMMA0y4uY9rm0GOWQKr8jPctupU5XIvfpQz0cF%20vDHqppqa4ngM1XynKRzeXltqv2r0K45A5xppxFRzPZ2LFog25Jtrt+/cuSNZRsjGhjH4aNWo1Gde%209YJ9C4x6U0IbreV0lR4y4ioyrQ4fYt6mkieppLsSgACWObQtJOmlMeNVqKvMv0iYm+l1yE1rx5YK%20VaichnX099DHg+o6tNVTQA4ZY07FaY8KvYoZskRN8Jdxc0Or21XT4VqlF8TRJ6lN3I1sZAIBePNX%20LtIXQ2I0pobLa1Nb3GcHM049lFa2YlpYiYO6kcXGo8XlJ4AHgp0EWNuJibwh0BdWviAAIxCkRJtr%20Rn3R9O4A9pNkAAA0yYA1/wCccuI5X/cSLOGx0hVxmEAQHzd1CxjtyvX08bblwBA04lxxI7FzvLYr%20cHP7UPj2VNrIn82SJhLe7OYnOpKGOxr4TpGFB28VwukLlVsfXPZeZpGv/U4rukXpXkjDidRDqimP%209S66zKsT7xjyrBMicfuH9ZW03nofQUpgD8V5QyUj1h1V1CuOC8ZlB1rUq9FurWBVxGeSOfQyVlV8%20luyrTT8OfavKmfj8D0NqP28F5UyUdBpHwyCVPPE8LF7UOI0jD+mKVPPE8oBj8EFFuUySNYKucAF6%20lU1XLiitWQLjc25RitCalb42e5VX+SW0SFLcTS+d1e7ALfGCRWXcic92WlkaT1D0IAgCAv29u6Rw%20w+3LvK1ylQ13J0MpDtzTGWuFZagZ0DQeI/Mo8rmpDle1Lrdtja9x0lzQW6CHUNPxFY/VMHe0Mltu%202ulnDT5q0c44UByoO3iVHvXqIh38mlKG1xQMtYyaloa0gGuRGSqpS8mcvn5NE0Ya9l1ymtQaDVIO%20FeztU2zA4PNveUmRL9jHbXOHjUwMpo7OBC7/AIJNJNFZZb+oqdz6n9kA1vtpszWigbC0c+AW3O/r%20S+Z3+O6wRvaiG44b9S1yy3f005xNDcyA0yb/AA811Ptq25K7T/KvzKTnLXlZ0Wpq9o4PsGPbV7Qf%20ERllzVTzVv8AE+W3FSbWxTE9zJaNPpFniYXYFx7VxlnKpOu+pg1pXcztruGujHNa15GqleGWK6HK%20561i21OSrGXYws4UrsvGG55ujoYbeSS6lET2t1thaf4juxrVyPI+47WZ6YxlR79jq+J9lZd+cXNe%20MGzSorfqrqS8fDaTPsdsPhMbhpfTmTn96pZzs2I1kvKR9r4vA4fibalFRne+dTYNv9sNks7V7rt3%20r3L2msldRYRkW1zr2qBc5a7N1iqRR5ne9tKW34/D7dixZ9E7U+49Iy1bXGoAoFsuchNRrQosD/7C%20lK74SehF6u9u4ba1N1aNdJ2MFQ0N4nlVZYPKOUvGWh9M4X3H9ZqMmv4nNLi3LHlj20cMl0EZHbLx%20mqkc27CtnmaXjooFtQ1B7uwL3zMFjU2KxGBhwXlTardNCoN40wXlTJRPQDn/AMqHqRS+SOMVe4DD%20LiV6k3sYTuRh+pkCfd2irYW/3it8bHcqr/LJaQRj5rmaYkyPJrkOCkRglsVF3IncbcmW6UzzWRpo%20DXM+bgvD1/HcYVxP2L086jGgxQdBjXHEDBeHoA55L08SGNOyuSDoMK0P2heHpmNls3SyskBFIzi0%20+Y/BRb86KhX5N2iaNqurQwtEdBqc2uvsUCxPylVHy33RkKc18jpv0rbCYdx3/c3EFxe2Jwr5atBp%20T4L6FcyHKxGNFQ18bec40WyPoxQi0CAIAgCAIDk31JAnoiIgignxBNK4cuKhZ1PA6f2o/wD2vuPl%20eOaJ8hYATTPjh2KkcWlU+oW70ZS8UR74w+p6bsXD8VVstVpUh5zh5eL37kUtc0Z1H3rbUgOLS7gE%20VpRD1PUkwkilCtciZZdCtlXPoMKmlScgVizNS6nTuiulbO72t8rmE0x9XUWEEcAeFfvVDn5soTSO%20P5PmXauU69vgbXFd7zsjQJmtvtvIHgcdTgOA1YkUVW7dq9qvRMgXbWJyMaTiq/Iiu9weiJHlsrpr%20WRuoFjGlwDhwrUcVMsWs+z/Tlp8yhzv/AKmt3l5QaX3lu+6z2i1ia63ndcTPFWwaaZ5VK6TjeY5D%20zUZbHyrnvZcsG54uafyMBuHVG8XzWhv+zxuJGgHHDPxLuPrTUKzZV2OOtW+lWa/NJqc/xOLyalxJ%20JNTwP61y+ZkeTqWkY0oWvBXRjRri4cyCMCOapfJ79aG0AOIbUDPxNrgf3q8lvtfAxbL0RcagDjRt%20cKu7RypwVnY0NbL8dCWYeEjhm0flHar6xE1SLc7nguJILm5Y4K2tLQzgjB3j6skLatLvKK1Newqw%20txqyfbWqMRdOo8k4VoKDxAYKXBbak22tCBIXAF3DIkqRElRIZJJ01yqfEaCi2pVN6RYec8e3lULY%20unc2ItOzxw7+Sy/MzLbq1oKUd+pZpU0M0Wz2Z8ua9+ZkUnBh7fjgveh6ZDpvHqLbNRoDcw4j/WBa%20cmjtuvYzhufpU3yjuXzUmHPfe5+jpeE10gzirqVI8JyVvw39V/I533Iq2V/Mcd2m/wDWZ6ZAdrNK%20VzPNXOdjJp6M+eZNnxdSYH/L3TJmU8R0muWvhhyXxv3Bxv0pOn6WSOOy52ppp0I3Xe1nc7X5tlHO%20jb4hXSC6mYCoeMu/Tfifon2jzUbkEuv4nJHjS8g5gmo7l1CPpyaeqKf6favQegEkAf0ovAbj0ZtZ%20kuI3yNLtfClS2n4u5VefeonQoOXynGNVQ6hd3EUFqxgiOstDBJqxIbmacFzNuDlKtT4p7gz6Sa/A%20t7Vu0VmyV0jx6bauaw41HDxcFlkY7nShT+38iDm43FT4mi751jue6X7/AEpPl7dpLSOJA/LyV9jc%20fbs21X1SO5vc1Zx7fjbo2YaGa2Mrbh1JJi3S51KVFa1A4KTNyp4rSJzs+dlN1q6F2eT15Kl4DSPC%200itAluSgqUPbfLy77ki3fHGA2gFM5AMSo9z1OpJfJvXqXJL8Ub6ZAINceCxVsh3OQcq10+8iSXQc%207CpHBueK2qBXyyfjUqhnFSQMBmMjXvXko6G2zdW63RlY3O1NMbW+o5ulwdQjxDNRpLuXuPfVO6Gk%20N0tLSx7HHXIDWvKn7U3N9zLoqkG9vXVe1pBFc/xH4rdbtlBl5Wja2MNO/U8VccD4qc+CsLVs5u9d%20cviesY6g1V1ajWnPkrvDsVfz/Iht9iQ57GAnV5eyoK6rFtU1oYRVTE7ldN8VXgRgUZh5grizChOs%20WzW7u4xOo1dTUWnIjkrGEC0twMRLMRUFxBdiOIqpaROjEx89wHA+KrsiaU1V4/Bb6L7iVCFD7t+n%20ZhZ7R7I0tc3wyGj2lpxkdwK4Tln/AOxIsIOqOkquMggCA+dt+DZdxutIIe+aQ6eOpryGrHPxFOy/%20h+8+NZjir0qLTyf56lrZHFwdbV1h9TQ5sA89K818t5G07ctdKfZHZe0c1xvJN7bHLOtLGWz36djx%204XEOYQdQ0nLLir3jrinaTP05xV1TsJowPPv/AKYKcWPcfm/p96Due4mnAfhCHu5UyQtpQV5ArxpG%20ULjRkbHb7q9dot2F7sMGiufco927GG57PMtxVW6G52vtHvsoAlIie7yg5EEVzVNPnbS2KS77msR2%201K3+0O6RtaXzNa12WH9a8XPW30MI+57T0SNW3bpm925xbJTAE454FWlnMjc2LfH5C3dWhhZX+lUv%20w71Miq7Eqd5RVWY643MA0iaTn4jlVSIWe5UX+TSdIakCSaSUkvNa8OC3qKWxVXL0pusmULI1hAEA%20QBAEBft7aSWQNaKmuXBa5SojXcuJI2naenjg5+LZPCQcBo4quvZXRFLkZyei+zMzHs8elrc2hpGu%20lKY8lDd9kB5FdU9a7AbI50oe1mqn4Rk1o4nmn9xRHn90lHV0MhBaNgBoMDk45/ao8rjZX385Uqns%20Wr26Y6MMOTsA2v6T+hZW4OtTks7KUqmHc8veSMKeHvpwKs8e1VqhzN65V0LO6zsj2qdlRUtJxwoa%20ZBfQeGstUMMaLd1H1T7Gu1e2OyOrUugaSe3SFpz1/rS+Z31mKUEkb4oZtPn/AOqqd0MHTvi8RupC%20MBl6eRXZe0YKUrv8q/MreStqUDV+mLllxtTWkl79IDQMBq54KPzOPvpofK8624XfgXZmNBHiDnUq%20STjn5QF8syI+F59noaos9ncxjDOGvLB5QK1IVlDjXmWGl+uJlYck1R0kiVsN9DBZTWdz/HMh1Nlk%208T2t/KCarlsfjleyFGSodvy3u27ex4KLpcSo6aGbt7BrGVjcWFwwcM8V31j21YaTl6j568685eTk%206/MrdGQPOTzNVjf4THUaJKhh/dXK1qzHTOcyXU3zDN3NcLy2IoTaS0JFq+069TLbfvwLPRuAPTIo%204HiFzN3F1qtzteH90TtUjLoe33SnTe8Qj1GCKU1DZmtGAPCnYsbeZesvuj6vxXvLZqWj7msXPsrA%20WyG3vdRFNAIHDj8VYQ9wPSsTsrXvDyeqXxNb3H2r6gtyDC0SNcTpHEgCuSsLXM2pblzY9xWJb6Gr%203WybtaOpcWskfLU0ivcrKGRCWzqXFvLtT/TJMx1xPFbgmR2RpQZ1UiEXLY9vZMLarJmMuN3e7wwj%20SK+bjRSYWO5TZHLSekNPiQZJHyOrI4ntW9JLYqrk3cfqZTmTVemIJxOoYoG+4++uSAcxSpQCtMQK%20IK9RThSpQPQUwqK04rwDOp4DgvQehpcaBueS8qKom2u2zSlultTq0knIHtWqd1IjTvxSN92LamWd%20sHzFtGinqUGX7VSZN7ydEcnymcmtCi/eXucweItHiI58D3UU7jbLlcSifM+TyHKVWdb+l6Yvj39p%204Ts+PgzXd37XhagqU0Lnh7dLbZ3hQi3CAIAgCAIDQfefZ7PdulPkrkljXv8ADKPwkCtV6rCu6Mq+%20V5i/x8FfsP1Rf4nyNvnT91sO4uJd69tiYZm/jbzIHlPYoPI8RdsJV1i+p9L9oe77PIw8/wBN6P6o%20fH4dzX5Hue9z3YuOJVelRHQTm5Sbe56CRl3Lw9TaK2mq8NqdSUxrtBJyotTepOhF+JVA3XIxgoC5%20wBrlj2rxmq5KkGztPS15Fa7UyMCodRzmg6m6meUg8uxctnWnOdT4pzfJeN9pvUzrb6C7tHQvpG6R%20rwG0rRxyPx+5QfpOEqrXYy4vl4+SrvVHKOoek7q1v5JWgyxamklraYnu4Lp8bLjOK6M+pvlYSxZU%20dHRnkEUTXtJaA5tQTnUnAUKveJt1m5M/O/LZcr96Uqlc0jsG+bNrzWlCP6fFWmfkpbFdFEVzgQM8%20f4YIGI0/tXMXrjbNyR5wJBGQZH2EYkVWgyKmjxYjwvFXjkODR8VIsfb+JjIvR1FXV8cba9la0qrf%20Hh+1mskM0t1ClAwVI7eVeavrEdTUQ7qQsiOkivIitQreytNDfaRgruUNzdhxaBx7+CnW41J1uNTE%20zu8QBwBxryUuCROgiBMeLq6CfF+0c1viuhJiiLK46dA8TR5QRjjxqtqN0V1LMhBOA0gAANOJrxNV%20mvgbIlp7jhU9nNZUM0i2aYUOVa/YvWZFNcB2jE8cFloZFJPIZjABe9dD0yPTn/mDbTh4rqGv/aBa%20MvW3JmUNz9Km+Udy+bEw5p79v0dKWxpUm4wxoPIc1d8Eq3X8ij55Vsr5nz/t24NilhIdgzMD81ea%2066/aclI4+/YqmbmJILq39VgrqbSnEHmFwPPcX5xoUHjKEqMlWEsLmS2Vw4Bjhi9w10NF8ezMedqe%202qO49rc6safi60/A5z1X0reWl9JIxmqJ1XNcBQU7ld4WZGcV3P0dw/LW71tUZrD4ZY6B7S0nKoVi%20pJl7GSezL9hay3EhYwd55DvWFyaSNd66oKrOx9J7U+z2cSuZqADAZaUdpPZmuSzr6lcofNefzlq9%20nqebvfOdK70xUeSM1pQBZ4lmunU+H8zmfUuP4bkL0HMjkqNUpa4mvlyyouihxMpwr2KOzkSg066G%20huje41eal3iA5/s7lZx49pVpt9qHR3MhvUt6HNOdWuxqBQ6exaLuNToanPsz1kjwKOo45CmGPJRZ%202qG63eeyLhuCCak6Rme1YKzU2/3Uu+/7C297i/QBRtQC6uOKzVqhpleqmUtlc0ahXUDie7IBHChi%20513JEcrTiHeLAlvP4rTKBMtX2pU2JbLtlCXFwccMDw5LQ4Mso5Cpo6CW9cfK4kUoBXIJG0Luaqbk%20CWZxLqZilHZjFSoW+5T3sjyeh4Gay6vCmPCv5virbExW6EOUupfALSaHE4uH73YunxMeiXVGrciX%209yGNINAWuIdTI4ZK8sWaIk2bVTVr+/YHUNTQeBqtbVplvZstowlxdGgc8hwa3wmuJxyU2MOxYQt9%20jYOifbDrnraXRsm3vMDfNdTH042tOZDnUDj3LTk51rH/AFP7idbx6n037bfTB0h05HDeb8BvO7DF%20/qD/AGcVxp6TtQNOa5jM5i7d0j6Y/t/ElRtpHZ7a1trWBkFtEyGCMUZFG0NaByAGCqG29zYXF4Ag%20CA+ft2ZN/N712Bd6krWEeGoLjiT2K2+kpW/FHxbKa+rP+Z/mYi1e+zvg95Dmkirm5Bv4l8y5/CcZ%20N/b4E/isz6V1M1/3O2aV0o3SNoFqQ2jWZ45HDmq3h76Xof6j9P8AtLk4XbMYp1ZzimNK1JJrzXQH%20a0BxoOX2BAz2tTmcfhQIe1qeDHvP3oeI6D7c2zxcRzgmjXVLW4UPIjiFQ8rKqaOW5+7SDVOh1wbp%20MbhsE0gDwKyU4BcusePjVI+QZOZL6/in6KljqPqXbdps6TyNIOA1HUdXYP1rHEw53ZaI63i8OUtV%20t8Tk3UHUjd7FILbTJISH3BIpQYYBdbi4TsKrenYuXzMMZvwlXx+33muHpd+gzTyGZ48jBkTwU/8A%20vNaJUI13nZXnSujMLdbLMdRjaaA4sIpT4qbbvon2cpdSA/bpGBwcw+GmqmOfJb1dqSleTH8tl/Ie%20H/tZJ9U9+sVDapy0uDDRtQceWa8+qjz+4RQ6wkDC4tIAAcSeRyXquGSvEZ8RaThTGlOK2KRtjKp4%20InngvfJByRNtdquZiNDNRJoAcP0rTO8o7ke7kxiqtm4bJ09HFK19O9rsceXcqrIy20c/m8lobA4Q%20Ma3CtAXaRzByHJV9Wzm7+dRvX5D1YSRno0lxPOnBeeLNH92q/bQ8bchlKVBd4XgGlGnh21XvhUwl%20nLoRJ79xa3Gramnc0rdC0VWTnV2+zMTNOTqHN1a9+QUyFsobt6uxVGzHKlMe48leYONLehBlIxXU%20cfqWMzQRqLDRlONMV3nFx8KEzBlSaPrL2IYWe1mxNONLdmP90Kp5F1vy+Z3Ntek39QjM+fPqy/3L%20YPEBS4fgRn4OBXY+0f1XP5V+ZX52y+37DnfQW5GKPTqqQ0O7q4K15awpN1PnvMY/k2bbewxsmZJG%202jJPEx2Zp3L5NzuJ4NyKK3JtalFqwSx+mWamvBGvUQAa5nktnt3Phbm1KVP3mxxlvHoWBFJFck6D%20XWNT+eHAK8/4zGvudyD/AAN00lGktNNjLW24ywhrXvDogCS2uIxWr/kPGPi9yBOyntuT/V1t1N8p%20xBUG5kudWtiOo0LL4NRxOPFVl7C892ZJlh9s6uA7lSX+GddDYrpWw3UVKOcWjhVQp8JdXQlW86Ue%20rJUW930LvESWjjTJVF/jXHRxLnG9w37b/VUuTe4G12UYfcy6pCSGxx+NwPbyqov/ABU5P0o7LjPc%20N2a9SZqXVnUt5vsIZFbNtYwCC7Nx+7BWeDiRsPV1Z33H8rONKPc5Zd7DO6R+JOlvhDsMa8f2rpoZ%20CSOhhlrdurLNv03uGokRiTTi4V4LOWVHuZzz4bV3MjF0saNDmlxrqNRTD8q0PLIsuQSKD0vIIiWs%20L5PM2opgPwr3+7Vdz3+/TdKmPu9kuY9Tw3U1tMRnXuW+F9Ml28taa6kQ7TdBzhSpaATTtFVs+sjd%20/cx+8lQ7DOSA9pLiK6Rma5D9q1yyEaZ5q6fiZW26UeWuY8EFwDjUYCmOkKNPMW5Bu8ilRl+XpdpF%20RABRuYOI5YcVgsv4mMc+nUjP6blBBro0tAoG1rXCp7VsWUjYs2O3xLY6ddqLCPTp4ThXVTjXhVZf%203PUyedGlSdbdMxuc1/paATRp1Vw5kLRPLppUj3c/RqpnrXZ4YYv4lHEHXqpprwyUGeRJvQpcrktd%20NOhRe3ga2RkYAa1mWdTXktlq333OJ5DknN1jsQWP1VJqSRWmWHM/sXUcJZpPyf4nMXpt/I639Ktv%20JFH1I97q+rcxub3BlMuC6zlJ1UF2R2PF3E4US2O/qnLUIAgCAIAgND947v5XpbXqDQX0NVZcVDzv%20JLc533Lb87CXxPmDe9zY6+aHsBZIaSxu8un90HLvXdW8SM7LjJaU+epQcc7ln125OMo7NfvMfunR%20U0ljHuW1Vnt34SRgeJh7uK+a83xH9tOUov0fkfUOD/8AsKxdpZzP9O8v8X+GX8DW7yxurSd0NxE6%20J3JwoudhcUlVM+iWL0L0FO21KEtmi00EOrReskxVGTmU9Ik5UWl7lnD9BJtbK8bJG8QktJBJLdTQ%20OZCxlJdyozM21G1KsjpO2zadrha0BuflFB8AqW9Ctxn5u5zLbvydepPtbuQTMdK3Ux/gbQ6cRhit%20Nyzo6dCnxM6UJ79TN7lNZP2G4kLf4rC0DHKnmNeIVdYjNXkuh9HxuWdyzSuhzJtA6RxpTXqBGRqc%20NIX0jjotRquxwuQ6zfzLchpXURmS8/2vLX4qHnXH9v2mMUWaP0gV8XE/p/5eKqa6m0OoA4gAtDtT%20W8gcKogVAUBGJaDraeJrhRS7BhIkMaHBuPgzdTiOz9ivcW3+Jqk6F51fROsYl2X71PN3K9x4PZdT%20BKr0MXuEoBaGkaaeJw/QrS3GiJdqJgb6Ueo9pFNJBqOVOKnWo0SZYWY6Ixk0hqTSprhjhRSIpUJk%20EQnnwl1aMbwJyryW9J0N6IznHOlacOwraqtm5IsuOZWX5mxFsu8VQK1GB/qWa02MkiipIphTNwXq%202ZkU6jn24Fe1PTyuOdONQF6t67Hp0D2u9qOt+pt8srnb7B8dnbzRyy3U7fTYGtcHVbrpq+Cqs7kb%20VqDVavsZxjJ1p0PvwYABcGSzlX1FvDejbcE0LrkBteekq+9vL/WfyKjmFW2vmfMhvxHKwmgjJzGI%20B5af1rvHadH33+38DnvpVTN26c3UllHOFSNLm5gV4Aqiz8VNNLc5/OxtTYbiIjS9mDQKin4uwlfM%20Of4RyTlbWpXWb0ovTepf9SG7YIbnxFniJcamg4L51K3K0+x9C4L3POxBOrXcxm59KWFwwmFhoRqq%2046tA407+C32c2Udz6hxfu23Nqr1LexdLwW9x6tA9j9Io4YDTzaeayycxtUJnIe4ouPint+Js17uE%20lsx9uKMa4AENxAA4CirbVlTaZ8r5znXOqWv23MLD/F1SOHgBoGnBw5UK63iMHykfOr12sq9ft+wl%20ei020hfUkMNOygX0SzhRUKERzfloc9Ia4uDTQucSaqNLHotV/wBzotihzAGlwwoKM5g1UW5hqvxZ%20kmUmEGtB+LVQc6ZKBLCda7nvkeehqaOVKuA78gn/AB/2/ePOh76YqD+fCvAHn8F68Ki2HkUGMtLH%20Yh1CBTLVXD7VFu4lFtoZeRbFW0dxZUV7Xcfgq65YaeuhmnqemZ4aThhxpX+lVH8NTY7j2Wwq51K1%20BI8Tf0fas4WWeSuVKmRnUS3AtAFKYVdgVaY+E6pGqUi/p0NLSKCgZXtauhxMWiX4mrcgXu6BhOA0%20t8OGGI7FfWMVURLtY9TV9w3qofU6quJLK0Fe8q3tY5b2cUudJ9FdZ9aXny/T9g+5DTR9y/wxAf23%20UH3rZeybdlVmy3tYp9F+230qbBtTIr/qyT+Z37aObatwgZ+65p1B657M5qc9IemJOhaS3O7bftu3%207dastLC3jtbaPBkMTQxo7gFSSk5Or1ZtJKxAQBAEAQHz5u8bW7vexvfSR07nBjjVhOo6Wu51XQ46%209Ox8XzotXp/zP8zFXbQ+JziRHI0nXG1p00H5qZrmvcGFWLlTy0NVt0a0JcMcG5bRNa3AI9RuloOI%20PBtOQXyi5W3cUl0PrfsjmXF0/wArONbtts23301tI0gscWtJ40PNdZYvK5FSR+hce+rsFJPchGnf%202dq3G9nuNQDj2oe9QKmlM8v6c0PEdb9v7WKPaBdElxcPTc0AtcONKlcryc27nj9587903qVitDM7%20juDWXTiGt9Rw9GRw48arTZstx+G58Q5Dk/C7WPT7UNK60c283S3e6roI49EbK0Na1xqrfAi4QaW9%20S/x/cl2Vqi0ZiInRxya42ggODdGQoc1Ikm1RkL/kJSda+l9CfbXbT6bHcnYDCuKjztk7EzXFJLSn%20QvzNjmLmgCjqcMCRwK1ptHQ42btUiO2m2P4Q3EEUwyzW5ZDRZRzktalI2uBoxAFXHA4mhOFEd9sx%20nyGzqVCwsTmwAgkAdy8+tLuYf8im92WZtqtZGkNiqDwqKYeUj4rOORJdTda5JaUZj7jp1j6ig1YG%20V2nHVVSY5dCwhyLR7H01BrpRranHUK+LkOQXjzGHyVFVmYi2yzt2gjF9aN14kFRJX5SKXL5Rpb0Q%20nvmRtHptAa01YRwOWlI2q7nK5fJSn+4hG5IxLiJGgvIB8NVuUCqnk1rV6v8AIpbckCnqk0FSf6cO%20xeu38DD+5e9Sh91gaOc6pFTXLs+KyVo1yyvvLT5S8HCjAcuNVuhaIty83oj2NhwJxoakcqq2xMRt%207EaUim7umQNLqgHgBwXV4WEjK3bctDVd53cGCRzXVBBDjWhx4BdNj49C5xcb1I+y/Ykg+12xkZGB%20pH+iFy/If1pfM6iyqRN/UI2nAvqsAl23YRpGF1IA52GPp9q7D2k6TuV/yr8yr5FtJHGumJTbygjE%20VocaV/aukz4+RyXIryOlWxfLaEkanNbqe6uTeQ5LgObwvqQZyNyPjOhiXdQxbPOyKcaoZxx4P/ZR%20fKb2Lcbe6lH8j6L7K4Ncg5qL9cfyMza31jusLrq1FGjwuZqrod2lXft3lp41yVq69J61+Jq95+2Z%204ck0tvyIzn6CQG6iTiCMncFKyshOTa+yOBpUv2F5MwgaSQ7BxcaCv6lIwblXQ1ztpmegY2VmoAjv%20XTWsSE0QnVM9k+VgaXTStjaM3PIaB31UmGBGmiPYxlLZVMDufWGz2pMdufmpcvB5eyjhmsLuLCK2%20LCxxtyWsvSv2mo7v1Ju18dDCIYTUaG4O8OfiXM8jjx6ot8fCtW9XqzDQODXeofHXxVJqceHwXNXF%20qXmPPxa7GYtrrU1jHPo0uLqnkRgVCuW+p0eFmeK17/ZF0wQSlvqaQSaOoakU5rBOS2L2PJ6b6lId%20bRAvGBJ8dBj/AMvYvXGTNF7l19x67coxGIgBpD6v41dTAauVEVjqV8+Xo/tsW5dxMxD3Uq9pLgBp%20AoaYL1WabHtvl6NHvoWbsZKB7vwg1x4VSs1sWMOZWmp4LDbwS8EAOFXVNDRueC9dyZvfNKm5VWxY%20S9hBdpqKiho0Lyk3oyJc5nTTYpN7G1pafE/wuHc7EhPo1IM+XZ6byIVOQYRXtDzh9ifSMlyrW7Lv%20q2xeA5woSaupXLKv6lh4SJUeViikSWIdUHU0kmQuFKGiy8JHkuUVNGWTuLG6SxlAG6nHvwAoslZ7%20kC9y7kmokCa+e5ul5NQ303AGvGuqikws1dEUd7NctalgBz3VI1A4PxwpyqrrB4yVxp7FZcuN7sh7%20rv1hZxPaZGyFxpQHSThwK7vC4vxSSVKG2xhzmztX0ofPy7fvl1PbSwwSzsMMkrHMDxozYTmO5Ycz%20BRcVXU7DAsq3GnU7+qQnhAEAQBAEByr6jJ2Q9DBzv+lFB20V97eg5ZFCs5SDlbPlS+3B08keoEkn%20TUmpHFfRLVrxT+yOftWfFM6B0JuX8B0Uj/DTDR4ahcxzmIrkZaVqjnOWsa1oS9/6dh3qSNkx0TRs%20PpSk11CuS+HZEJYV2Ud1U7v2P70lh/8ArXEnak9Pgc53fYrnaL0287akHwPHlc1TbN9XI1R944/M%20s5EFO26lu3s33JMMA1PcKkdnNeuVNWTcrItWbbcmb107JIyzDLyHQ6SmJx1aPCKDgOziq3Kj6vSz%204L7t5alxqD0M5bW8XptlYyo1U0jwhuOJoVd4HEeaTe7PmN663J+T1JboWaTpAwxAOVVPy+HSg+mh%20HVxkG/u5G7XcxMcCcPDpJAJzpyXFQtUuKpe4GW1otO5qcWkNw8o04cnHku5sVVpGT3LUoJMgAxJI%20x4keY/BVOZ37GcS2cA1wxoGt7KVzVeZnrQ1rnDPS86yeIph34rKEXI8bLkQLXsdIa6SQ89tOI/Wr%20axbqa2SIm6Q2o0Fp00z8X5lfY9qvQ1SdS3LKxrA5xIDRQ1P6Fc249TKETA3cwxqQ3VifCS2isLcS%20wtxMPcSnHHU4515KbFLpsT4RMdLLUigB040ph8VIiSoxIsrquJpQD9f6ltitmzfFFhxFatOeazpo%20ZpFp7iOPh58lmtPibEi2TT9dMxyWS0MilrXPJDRqdgAAMT8EpoZHQOgPY3r3rORslrZGz24uAlvb%20gaA0Hi1ji1zvgqzL5azZ0rWXY2RtN0PpfoT6YOg+n2wXG6sO87lHi901DATwpEQcu9czlczeu1Sf%20ivgb1bSOwW1tb2sDLe2jbDBGNMcTAGtaBwACqW6upmXEBx/6m3SM6JtHMoSLoVaePgOS6T2x/uH8%20is5RVgvmfKstzp/iNp6j21caeGmVAOC+hRt9OhTRhXToZPYd2day6NRMbiC2pwI4/FRsmx5r4r8/%204EXKx/NfE6Xse9wzW7I5Tg7AVxPeFy2bhOTZyuXiOMm0ZSSBgbqYGuBzeB4l895P2+pVlHqQ1PvU%20stfdwh2h5eKjHjTkuPyeInF6rUnY+XchRRdPgXzfTBgjY0uJqa1ocFXrBn5Ua1J8+YuOlXqiOBLK%209ut5aG+I8q50orfB4ecnVrQq7t2Um3Lf9pLaNDfVl8tS6nCpX0PjeOVtLQiSdXREea7cXl3qAN0n%20wnIYZEcV0H0/SbI29NjRH3MLp3Oyq4mtMPsULw1Oh8GeevEKOJJr5m81qdlNU7HngUGa3Y0kyACm%20Ip9y9/tk+hl4NlBvYhTScScQMKFexxEke/RZU26idUhwcK1wGB+C8li00PHaaLx0OJ0O1VoSTkO1%20V97H7r/qa9tygxgnUMj4SDwrn9qqrmEtT2pR6XAigJo2nAD9qjf2bbrT7f8AQy8i42OjjqGmgxPZ%20wH7VNs4PQxctNCiW4ZEyrnCgoTTDPh8Fc42JToexg5Mw26b6xjKOdpaCTqr96uMfF6Fhj4jbMVte%201dTdWXxtenrOW9nJoXNBa0VwqXGgVhKULKrJ0L/GwX1R3r24+lKzZbsvOt5XT3TXAx2MLgGAf9Z5%20g5UmXzcq0taLuWkLEY1PoDZNg2bY7FtjtFnFZWjcRDC0MbXKuCorl2U3WTqzclQnrA9CAIAgCAIA%20gPmnqSYRbrdVDXfxpfARiDrNCuvxYVS+XTsfIL8a3p/zMtWF4J43epUuApLG3AEcFpzsVTjTvtUi%20XrdNi5bTPtbnU11YJM2OyNOA5EL5D7g4p2pvTT7fmT+Lz5WLikn9viQOqul27lZGWE6LkeMh/ic4%20OyaCFSYmW7c6P9J+h/avuFTilLVNdDl15YXdrK6GeIxvYfEDkB2ro7d2MlVM+k270biXi6lju44j%20ke9bDbUyOy7dLfXTIooy4F2YzHco+RdUI1bImXfVuFdjtNhHDYbJCx7aXEAxcPKXUyIzyXHzrO62%20tmfFvdXJwpJ/4TBvdHPOQXfwn4AkEkivDkuj47Ec3tWn5/E+MZV5yk2a11RGI9yDcwIzQux45q+t%204iXShO466/puncwj8AMD4hieJPYtF+3QnKXYuMlewU7i13Jo8ygTiqku1eapUmMvZAc6hxGRy5FR%203bRY28ySrr9vtuVP3Fx8zQBWnw/ER3rxWjc8+VdPt3KHX8gJfhVtA3mR+H+tZK0jW8+S6gXjiTg3%20tPHUM/gE+mYRzpdC5HuOZIaR+IcK8wsXZJMeQkt9V+8vfzIBpBFSzF1c8cKfBYfRJMeUaX3FE24l%20zaANBrqDuBb3L2Nk1XuTck0iFc30jml1ak5/05qRCyVd7MberI0jnlzmtOAOoUwFVIjbIE7re7PD%20HhU4N/CBw7VI/t5dTT5HrmmoNAKY0GVOazWJIOVSoRkNLDU/iAGHxUi3heR55gOY1utxp2DiBnVX%20eLxlfkeUbdDG3u829uHO1BmBwrjTsXQ4/GquhLtYspFrYOm+sutrp1tsO3y3DW09S5cNEbA7Ikvp%20q+CtJytY6rN/cXuNxrTO6dAfShslj6d71fc/zS8BDxax+GDHNsjXA6qdiqsnm5y0trxX7S6jjxit%20DvG27ZYbZZRWW327LW0hAbFBGNLGgcAAqOUm3V6s3tkleHhwb6qWh23bEDl8xJ2/gXXe0nSdz+Uq%20eT6HCNtuHMkBDh+ZppSp7AusvQrE5zLt1R0bp++1WzCx1TTxE8ew81zWbZ6M5TOtUdSrqnZ/n4hb%20M0CZ8gPrafCG0zXzPn4uw600Oi9je4I8bnRvTb+nSjMRbQzdGb9HZOk+YtLxmm4NPDqP4mjmAuSc%201lW/JemUXofoLPhZ5rBlcjSq1j/1M46RszjK0keqaxsrTLAEqZYdYpdt/wCB+XcvHdi7K3LeLL0T%20JGn06/w3Ymh10pmrvjLbrX7fIh1T16le5X09nbufHIQ+NpcTqqCOGC+h8dbqlUyx7SnOlNzk+6dT%207tuNy43VwfRc4hrRkQ05Ob2qwnF/gdlZwbduPpWpM2qZhPhPhqKUxAoq/IjVVoaL8e5kJvGXUOI8%20TXcMc6rmc22nHqRE6EV+FC3LV/D4VPE05UXL37NNiRCWpcEviLa01HSOPhbjgoTiSYX6LXoi469J%20BePCT4z2tyx5rFQN7y+iLZuXuc2gNaawK8cvF+1bI2m9jRPIbTRQGyksxo/SSG5DVX8SlRw5vYjy%20vVrVnrRIBRjiNTgGk44cfvWMsWS6dD1XWup62WQGrRXUal3EUwp215LTKwzdHJa3PfmHEkUqQ01+%20PCvasfosf3LoU+rI4BxoHCgeRy/C1ZKy+xi7zPA+arcPEQ7UOIan0X2MfrPv2PfXeGD8TcNfaBkQ%20vPpGavuuh6J3lzm/hkAJHYMR9qx+nU9WRJfI8dNIWhxrQmmk4VPI93NbI2G3sYO9J6FQJ/5x2kAa%20C6uGoY5cQrjE4ac90a53pPb5kOfc9vt9MQeJbh+UUfje93KgxXR4XAJOrRnaxrlx6I2bpz2r9zer%20nNdDZjaNqeam4nIa/TzEZ0uVwnjYyX+KReYvCpJSlqdn6J+mzoTp6aK+v43bvubMTJceKCvZC7U1%20QsjmLs04x9KL6FiMVQ6ta2lrawtgtoWQQswZFG0NaO4DBVUpNur3N1C6vAEAQBAEAQHGPqpkLPb6%20I8PXxA7l0/tRVyvuI2UqxPkwSl2mri1wNS/h3ntX0fxKXxobb0ruBjlBFQ54oAeA7VUZ9mq+RS59%20mqOmxSQXkDC1waCR4+LT2L5rz3DxuqvVHLeq1IibjZ2l00219D6kZFIJDiR2r5rexrmNOi3R2Ptr%203ZewridW49V0MRY9M2W3Xz54HCS3/DXML2eW5wo/1HUcz7zleVYPQy8noSPYAKEODsRWpGS148Ze%20VWcBn5n1XXqXbm40RBzgWVBBBIIp8F9V4fHior4U/aVMIVl3LFpukUjmtBxPhI4YZUVxk4VYszu4%207Wpc3uJ7drnkieWaqNkLeAPPmvm2fxdbyaWhlg3qXEjU2tHoto2umukZV08Ry7V0KtJW0izb1LMw%20IcTzAeTyJzA71z+Zbb0NiZZMYPhbhq8YbyB5dqgKzqZ+Rc0A1wqBiDz7e9SrNjYwbL7GeIOoMf8A%20EHN35fgrjHsLdGEn0Ky7Q2hJqfE2SvHL7FeWbT+8wSqYvcLhgaWkghh1Fw4dhVnbhtQmWodjBXNw%206rwSW4+WuFFPhGtCwtw2MTPKTWgxzqFKitCbCJDnmc4k0prwdpw+C3RJEIkdzjgTUYEZrYkjakWH%20PFMO8HuWaSNiRTGySR4ZAx0sjsQxoLjXuC9bUVVszUanSfb/AOn3r3rBrLn5f+Wba93++3ApWhxo%20yuv7lWZnL2rOi9TNsLdW0fTXQH06dBdLRRzXNs3ddzGL7m5Ae0OP5GkYLl8vlbt17+MfgSFBJHUo%20oo4o2xRNDI2ANYxooABgAFWGRUgCAIDi/wBVDi3oWzINCLwY/wBwrqPairkP+Uh5qrA+UTIS0CpB%20A04ZFueK+iUKbxPYZNLgCaMJxPLtCTVfmeSVUZ/aN7ltmirqud5eYHMKDkY6lo9qldkYykdA2nqa%20PW1rjXUBU8CKYnvXO5GFpVfE5zJwHSqM6y7s5h6jSW/l/aqLJ4zutytducdGXGstyC/X4zi13dmo%20H/DwrseOUtugfNDGwV0uOeOZr2qZY4+nTT4/A8UW2Ync97jY50cdQCPLwqFdY2HSjZNx8RvVmMtr%209zy4lwLzGSC7GmBUy5aomunwJlyzT8TUXXDnEjxa3OOoHP4FU/iXPgiPPfem00dWvHt7FnC3Uyha%20qQJ9zDW1JpU41xx+C3xsVJMMepF/mrxIQCQ4jFlcP7K2/QVDd/b6E203CvjrQcCMu5ablqmhHuWe%20hm7W8jcW1JOFSxQblkg3LPYmCeMmhOoHgVCljp9NiN4MofexRHVwyo7HLJFieXQ9Vpsg3e8wNDg1%20wD88eNVOt4j+4lW8RsxEMu873fs23ZbWS+vpjRkTBke1xwU5WoW15T0SLfF49s7J7ffSveXro9x6%206nLGCjmbXAaFp5Pd4mn4KtyeaS0tL7y9tYkYLQ+h+m+lOnum7BtjsljFY24zbE0N1Hm7mVRXb87j%20rJ1JUYqKojLLUehAEAQBAEAQBAEB8qdW3xG+bk9wPqNne3Sf7RoV3WJbStxouh8rvQbuy1r6n+Zi%20Nt3sRTBlasecQeJGdf1KXex/NOpjexvJGzwyw3ELg7GJ4NBydwXH8vxiubr1op5RcJF2yuzbPYJH%20EMDQGUzLuS+S8rxcrUmn3On4PmrmPJJPTWpfvtisd6t3mSBjZT5pRQZZ1VRbvzsvR6H1ziPdkUk3%20L7jXY/bS3+cbKx9LcuOpru7PuU+XLvxo9zs17j8rem5sPT+ybftErwIS6QuNHimXMKBlX53lvoc5%20zHPeS1elD3eb8yPbpaxpB8PpgguFO1bcWxQ+O89y31pOKbItnA6NrXO8JbH46Z01cO1fQuGwdKdW%20cfckpNmtdWhp3KKlKGM0DcOPCvFWt+1RtFpgfodO5gSw+E6fCMqcVVX7fRosKloxnE0p+an3FV08%20eVdjPyPNBBAFGkYOI4h3ArS8eXYz89D0MfUmpJJAB7sgtscSVaUMXOu5UISMMDSufM8FtjgyenUx%20cx6FBU4Nyd38h3LN4Q8zwsfyLgBjXmo8sSSfcyU6DVKM3Ek4tIWl4zW6M/rS7ntJCKE+XM8uwLZH%20ElTbU8d5vqetiqanAE1J5FTrWFVmpyLjYqguIqS3M8TVT7WCYOR66jHAU1flPHuPYpKwgtUWXlrB%20UuFBWvYplrjtjYtTG3+/wQscCRqb5vzU5hWuNxlaEuzhSky5030p1v1tdCDp6xl+WHmvpBpiaDmc%20aE/BWUp2bC9T17F3j8ZT9R3boX6V+n9v0XvVdwd3v9TXmAYW4pjQtcKntxVRk8xOWkPSi6tY8YdD%20t9ht9jt9pHaWMDLe2iGmOGMBrWjsAVPKTbqzclQkLw9CAIDgn1Vuc3bticRRguJKkGhPgXXe01Wd%20z+VfmVfJJUR88QXOmUOP4fLhWhXbSinp3Ki5arGhu3Tl8I3NZiCcSCajvVHmWt+xzeZaqn2N3DGS%2025DnEubwrQaOz4ri+YwvqwpQ53VS+25ht02w3lxCZXPc6BwLHGuA/Uvm+XjOxWipXodjwHuu/gwl%20br6JbokW9vRjm1pTEVFSfit2HiScoyWsWc7mZUr1xze8mZKCGrtWkxsdRhINKE8SuswcJpU+8gyl%20RdzCdWXBjsn1oK1bVopgMF23G20muxP4yFZnGW3BddPBoTrcQOVDx5qXOOrZ3crdImxbNcN1YmgP%20ma1tG1KrciG+hV5MKGdYK6m5VpU8MFQ5MKqpWN9Sy9pLXGnicdLTTMDgPyrnsjG7rQ2RZSY2h3Yw%20Uc7l2BV8sV9DNTDYiHEObqd+MDAaeTVttYVX9545l30xVxc4Uea0aKEhXGNxvw/6Gvy7B8kTHCrh%20qrprz/tK3hgLelDLwdA0tJaC4aQa1HDuWNzB00R44s9LGEl1SKnVRuAw/Woc+OXRHlWCwEPA40IA%20wxHFanxyVKoJ7HpjGNBQuA1DgMM+9Y/2XU88jwxOBBP4AA3mdXM8lqeE+rHkUBni9NtKk1c6mAPI%20Balx7m6UM/LqUyNjZrL3jVxINA2imw4nbQ9Tb2Mcd59Wc223W025z1xZA1zyHOwx0gq8xuFjBVlR%20fMscfjLlzV6G/dM/T11/1RJHd75O3YrAULIRSR8jT2NI0HvW+ebYsLxj6pF9icVCEddzufRfsl0B%200rG11tt7Lu9wc68u2tmkDubC4eFVeRyV251ovgW0bcUqUN9AAAAwAyCgGYQBAEAQBAEAQBAcW+qw%2009u2CgNZxieGC6j2n/uvuI+RsfIED36hUk1GROXavpskVk0jO7ZdOa4OOo0PiJIx7AoN6BXZFup0%20np/dWuDPULXYU08jyC5jLxzl8yw9aG0MaJtOij9XlC5TN4yLTlStCobcfgWTaxAnwgDiO1c1f4Fe%20VUtDdG80qFbY2t/UpuLw6jrIxlNsw2/3VrDbgNwDTUAcSc12+Bj+Oi2JuHCTlVmn2W5mK/Gon0NW%20LK8XnCiu54ycNNy6uWaw+Jv+4yMk6fkLTQjSW04869y4bOxmp1OcsRav/iaVHMJJC1uLmkEk817K%201S2i7lGiL0gGoVw1E0d+8fMFz2Tjp69zyLLQa0YkHweF7eQHlJ+Khxx1t3M6l1jSzS7zAEuceJqK%20V7lOs4q+Rg5FTmhkbQKUpgOf7yuLNmmpgQ7u7YC9oDa08QPl7grS1bp01JNu3Q1+8um0pU6My0eZ%20w59ynWofiWFq3+JiZ5iKOoCAaA/tU2Ke5OhEgST11NLqEmukc1ujH8CTGBEfK41wr2LdFfsN6iUR%20MmuXiC3jdLK8hoYwFxNeVF7olVmxROsdDfTN171J6F1fMGz7fIQ4vnxeWD8obXE8Kqnyecsw/R6n%20+83wtNn0r7few/QnRjRLb2ovtxwPz10A+Rp46KAUC5rL5G7f/U9CRGCR0YAAUAoFAMggCAIAgCA4%20l9WIlPQFo1kT5K3g1FgJ0jQcTTgup9p0/uHV09JGydkfJ8cgLGF2DnYUX0aSoynlGjZea0OFACXk%204cli3T5GtsuxT6XguJLuJOQcMisJR00MJR0MjablJD6Za8jMue7gK40UedpOv2+3xI07KdamesOp%20C3V/Fd6jciM6FQZ4fZfb7bEC9hJ9NDLt6oOgFrqkjM5dpHcoksJbUIX/AB5aueo3FoDXONBXMUPK%20qzt4lHsjO3gmIu96dKKySBja0LW5E8PsUqGLTSmvcnW8ZR2RN2yd2iVoxeGklxypzUfJiqa7fbQ0%20ZEdUzWpbxzi6jvC5xJHEHsVIrZYqBjrq8ALi1w9QHxNx+5SIWyTbtd9jF3E8moubUgmnhIq4fvVU%20qMO5MhBFhk4oXF/4qOJy/urNxNrgZG1nc2jakj8LTkR2dq0TgRbkKmVhvXNJGqrm0zzaeChytkKV%20ovv3xsTaYNLsq5dpCxjj+TMFi+TILL/c9xvWW+1xPvbmQ0bFECSaclvVqEVWWiJ1jA8tGjr/ALff%20TF1JvU8V/wBYzGw28jWLGM/x3ahUAnxNpzVZk8xCCpbVWW1rCjHY+jek+gOk+lLVkGybdFbFrQ10%20zW+N3a48yufvZNy4/U6k2MfFURsK0HoQBAEAQBAEAQBAEAQHxv1fetfv+5ekWvjbcShzMfzmq+kY%20VpfTj000Pn2Rb/1ZVVNTAsuj6lBqpnhyHBTXbXw1MXb0Nr2HeGsY2N5JBILTxHcqnKxfL5oqMvGr%20qbGdNyKCr3vxLsMhiP61xfJ8WppuK+4qtmW/Unge54cQ1wGuvZl/d5L57ncPODenXYsMbMcNE9yU%203e5SAJmskecnurg3hWiopYdHTVF9Z9w3Ix8e3bYpl3J8rTG5vge4sAbngK0/srfb4+ejSIt7mZST%20rrXUjRxyufrnFTTU9vDR+X7cV0/GcbSSa1/iUV6+5upOiij0mhY8A6yBWjeHirwXeY2N4KtPVTUj%20NmqdXtcdxjFHVMZGNOfFRMiGvwLjAfo+8wRawmoxAb4QOAGdO1Qp2+/XqTU2UGNpDRXA+Xv4H4KL%20/a1MqlQjDhXKoIdTKoyW2OF2R55UPToaRUgYAD9f2qbbwUjzVlHzNvQ+MHHD4fsUyOFRbGX05FTZ%204HCoeCcTTsPH4ryWIl0MXCSPTpIJBBbl/Uo0sJDUGMcKU4g5Ht71pWCqjyKgxoGoYUGJ7ea3Qwlr%20Q8q2UzyxwitQC0U7lLt4nSh7GDZDk3aOME1aWgVJ/Z2qZDDb0N8cZsxO49SM0GpADstNSO6manW8%20FV0J1jAbZl+jPbj3A68cJtrtnW21yO0P3C4BbHTI6R5vuWWRkWcdUesuxe4/FJUqd36M+lvozaJ4%2077fJJN6vRQuimI9AOH5QAHfaqe/zN2SpH0r9paWrEYKlDstnZWllbst7SFkEEY0sjYAAAqltt1Zu%20bLy8AQBAEAQHB/qs2vc7jZtnvba3fNa2s7zduYNWhpZQEgY5rrfaVyCuzjJ6tafEg5kHJHzczzDE%20uaTiGld000U72Ni2aUtfSvgJ0kHlmq7KjpqU2ZFHRtmumuY0uAFRgH+INHYuazLVTlsy26mRlg9S%20jtREcrS51caNBpiucyONjN6oiKaXzR5HCxoLXOIeBia4Efm7hyTF49W1Smglc7Fu6u4iHOdVoNKY%204eEUrRXFjG8Xoe27cnojRusdxLoXRh1BQjVWoIPCi6LjrFNTpeLx6SWhyxj2tmJrgHHyrC4qt/Nn%20XyToZ/a5sQ0VpmTXAcqBV16PUq8iJs9rIHRNLqnDEA4nkVUXbarVFTOHYv0OkE8c6dvFVdyym3TY%201FIiA0NcKgOIpwOGdFpWPXZDyPTSKgOLmDPkVNt4vfZmXi38jEbhuzYQQzI4Dme0K4s42pMs41Wa%207cbvK86XPxr4iM/irGGMlsWkMZLoXLfdHipa8uo0tArz5815csIxnjrsZOHd6FzfUJAHmPLjRRJY%2067EOeN8DIQ7k06dXlA8Tss8itDx1q0RnYoSP5rACagYihHDDI/Fa/wC3+B59F9iHddSW0TNLvM3j%20Xh2nsW2GD5PQ2wwpS2LO2O6l6ku22PT23y3ly/BrmAtZQ8S8+H71vWJbteqbSXUssfiG9Xsdb6O+%20lzdr0x3PWW5PigeAZdvtnUkqMcZBqaod7mIR0tKvZ9PwLyzx8IdEdz6S9vekek4BFsm3RWz6Ufca%20R6z/AO0+gJVNfy7l39TJ8VRURsajHoQBAEAQBAEAQBAEAQHGPqqilf7dtLGF4ZOC6grQUXTe1JJZ%20X3Gi+tD44A1OJwNDU6s/ivqRXvQm289HNOHqNxLVonH8CPOGnwNh2jdtDo9RBc3xaeSr8jHbVEVe%20Tj7m8bT1B6ccXqSa5MjzNTgCqHIxNW4r0lDkYda0RsUW9McA1ul34nMORIyVXcxetCsliMt3m4s9%20IkDQ3jzJ5Be28dV2MrVh1NX3u/aWlvio4HQG04cD3q2xrRb41qhp7rgeuAQBidLDkOZV0oaP8y5U%20PSdDsd2ZJ0nNG94bpaPEc6t5di5TksV+VaaVObuY1MpNGn7deh1y5pJbgC4njXIqJdt+kub1qkTN%20aiWkCjSKAAZ44EhU96zXXqQaFekNc3Vg2haa5YDAHtUaOO/vPKlLJi3TQVIJJJ5kUUu3Y/E9pUgX%20d4xgMbXgP5/qCsLduiJNu31MHf7gJA4Cuhoo3T/TJT7Vlk+zZaMTcXRLi/B2OkuP61LhHRdibbtm%20NuJgKAOBJ8xGYUiMCXCBZhjuby4ZbWsb7iaRwbHEwVcXHLJZyaivJ6I3xgdk6D+ljrPfWMvN/kGz%20WbsTbv8A8ctORAAc3LmqXJ523DSC8n36Eq3Z7n0d0D7L9DdFRtdt1mJr4AA304DpT8clzuVn3bzf%20k9O3QkRgo7G90AyUIyCAIAgCAIAgIW7X81jbfMtiM0bDWZrfMG8wsJy8VU13JOKr06kawuod9s5X%20TWwdts1WxiQV9Rv5qcks3W/Ujy1cVyPkv0s5Z139MXSe8+pd9Pn+TX7sQxn+A4/vCjnfYur4/wB0%20XrTpc9cf2mu7jqRw3q/2U9welNclxZfzDb2Grru1BMYHN2qjvuXWYXO42Rs/GT6Pcrr2G4/huaIC%20HNLQS3Mua4UxHAK569yI4tPUqrrNaVFQAX51/LhzWO32/aY0oXGXD2OBJ0k1BpmDwr3LFwTRi4VL%20rL2RjdbjqzAHAnmP1rx29aIwdtPQ8+dc4V9TTqAw5ac/tXn0z36dOhbjna5+FQ6rnAHjUfqWUoOn%204GTg6Ga2q9bpo8ajEw48DUU1KDk23TTr9qEK/b7dTC3ExBpqoTi93EBc/CJNhExs9w6hew6T5jXI%20OyUiMUSoQ6MxsxrpeACGDForQjmOxSYomR7BmvVhX1a/xKeanZwokv2Hjp9xNbL4T4iYneKvAEYL%20S0aHH8S5HLcTzstrdjrm4nc1jYWglxJwFKcVg0kq7JCNmvwOv+3n0ydZ7/K256lDtl2skF8Lv95c%2039zzNxHNVOVzNu3pb9Uv2E6GNsz6W6H9q+i+i4Gt2awYy506ZLxwrK/+0cvsXOZObcvP1PQmKKWx%20tyinoQBAEAQBAEAQBAEAQEFm87e+ZkDJA6d5p6Q8wANCSsFNMxU09nUnLMyPhzqy5J6q3XU5znG5%20mBrTAB55L6riW39GPT0r7zkL9lOTpoq/iY2KQ4GoINcRkKZLe4U3/AjThQy9lIGua40A8zj+I0xU%20S6qrvQr7sam17Tumk6nCsObSOFcv61WZGOpP/wAipv2FX4mdgnine0Q0luKlzzwoR+pUWTg+SpNa%20FfODjuU+iwk0BIYfE9nbhUV5qiu8FBteOi/aeKTKjDEwDXG4Cul4woKY6QkOEjXdDyKTI8gkYeGj%20zzHarmzhwhsq0GpVaX8OqjhrdF4oHcHDKn9lTZ2PFans7TRrnVfqNvIGOYGPDDr5mpqqrIt+qpZY%20DTgzCgVcKDxcFoVuu+pNPfDQklrQMCTwK2QsvTU9oyJcX0cbDorqaRqIzHKil2sepuhZbMRe7uKa%20SaOFdQb5iHc1YW8dInWsYgP3WQuo0eA0BrngpCsr7yQsdfeXId0ANHVaG1I5U5fFYStbmMscn224%20jDI4amxnKh59y0SsIjzsF124PaKeEkGp5UWtYqrU1qwiLNvEeolr6CTMDJvctyxl2N0cV9tjH3O+%20RsYGF2WIa7H9CkQsa1JVvDbdTZ+kfZ/3E62dHLa2526wJob67Ba0tz8Gmp+5abubZsb+p9kW+PgU%203PoToP6buhemwy5v4v5xuQofWucWsdx0AUw71R5PK3bmi9KLS3aUaHWIooomBkTGsY0UDWgAADsC%20rGzaVIAgCAIAgCAIC3c21vdQPt7iNssEo0yRuFWkHgQvYycXVbnjVT5691PYH5Wabe+lIaWwaXz7%20e3Nrq4mPKjacF2PFe4KpW7/f9X8fiUuZhOK8o7HH4YTHVlCDq8pBDh3grpZuupzd2Tb1Nw2qejRQ%201c2jg3hTsVPfh+BTX4VNjiu2NDXOdqikHp0HI505Ksla1Kedp1+JYmu4mANJLtOAZXIHtWyFrr3N%20luy3qYbc79uh4LsRgR+UHkptm1sWVizQ5/v96XOeMBQE1/DhkaLoca3SNTpsC1SjNLt3kufRzTQ1%208IIxJ7VUzWv3l3cRm7GWjmPBFQMS4EivcoNyO9SuvR6Gw2E7mjAtGvM0wKr7sKr5FXeiZaOcFoyo%20K+B2QKiyt1+8juJS+40aXaquGDADwXitp9AomJ3DdCGUY3wDBwqK17VMs2NSVZsGs313I51K+Ij7%20ByCs7VtFtZtJGEkunuLHNOgVrQ44czTgpsYFjG2lXqSYJXFoLsJG58KHgtTVNjTOP4E2O84PHcQt%20Lt6aEeVrsXv5o1tXOeTWmthxqBzCwdkw/t2+hs3S3QvXfV07WbJtsroXYOu5fBGxp40fpJHco929%20ZtL1MkWsBvodx6L+lLZ7Odl51VfO3OVoBbaQ1ZBX8Qe1wNQqi/zbapBU+Ja2sWMVsdu2Xp7ZNjtR%20abRZQ2NuKD04Whgw7lS3LspusnU3xilsZBazIIAgCAIAgCAIAgCAIAgMG2/3U76/bCGGID13yiup%20sLjRoHDVUYrWpPyoafOXn400MvdWttdQPguY2zQvFHxvFQQt0ZOLqtGbjj3Xn0x9G7/M+92gu2a9%20IJLYf8J7zxcHaiPguk4/3RkWF4z/ANSPx6Ee5YT2PnXr32Z656KfLJeWxutvj8u424Lo6cjWh+5d%20vx3OY+Ukk/Gf+VkW5Ya+RpdvdyB4I8BpQnt5K2nbREuWlQy1lvJZnk7I8O9Q7uNUg3cWpsNtv8tA%2017qHA6jlQcFXzxFXRfbuVs8RdCa7d53NoA0VHmHDtCjf28U+po+gjE312H1DBpLvxDI0zUyzaoyX%20at03MBLMwyuNfC4jvBbz7FZRjoWcYOhsFvuzo9puWAkPe1oq3y/eqTOspKpWSx63UzDbbdaLnGuI%20o5g48lTXbfpJ9+3WJstruJDWhw1NGB/MOxV9y3VlVctal59+0NwALji3kB29qwVqhrVoh3O66mFh%20Ia0eenDlVboWmb4WWYe8v3OAANKjxN4VUu3ZW5NtWUYm4vI9RJJ05YZ/BS4W9SdC0yNaw3+5Xsdj%20YW77u7mdpZDECS4ngtr8YKsnSJLhZO2+330o9QbxFHe9WTu2m2fj8lH/ALxT96oLQqLL56MdLSq+%207/cTYWKbn0T0P7UdE9G24ZtG3sFyRSW8eNUr+01w+xc/kZly86zdTdGCRuCjGYQBAEAQBAEAQBAQ%20N/vrSx2e6urt2i3iYTI4UrQ4YVWMnRGM5JJtuhjehN5sNz2CI2bHxNtyYnxSABzXDGhA71qxpqUE%20/wAzRh3FO0mjYVvJJTJGyRhY9oc04FpFR96A0DrD2N6B6lbNJJYtsr+UEfO2+DwedCdP3K4w+dyb%20DVJeUV/hexonjwlujgXWv049cbHI2bamHfbUkjTEKzADLUKNGXJdhge5rF1Uuf6b/YQLuC0qo5Zd%20299Y3Jtb6CS1nYXNdDIKOGOK6GEozjWLqQp26V7lHk/dp/pFrlnua9ymjahtRQVOoZkcu9K9TIpB%20Idpr4HeLuAxAd2r1npkbOcteSNQL2F9G04jI9ijXYel9ehGuR/gYWecFrjWlDVteJrm5c6o0J0IE%20aWXxyAZuxLhmX8ltjHTQ3RjoiD53NcPG8mjmHifhwW9qlSRtoImulc2GJr3SPPhjaKkvyACPTVnt%20Dr3t59OHXPVE9tPucJ2baHEPdNICJTHXH0m4gk9qpMvmLVtUj6mbIWa6n0/0H7L9C9GNEm3WTZr+%20gDr6YapD/wDhH2LmcrPuXv1PQleCpShvahGQQBAEAQBAEAQBAEAQBAEBq213m2/513O0Y4vvdLXv%20GFGjSMPitEWvqPuR4eCuNf4mbSt5IPkT3E9oeuNn37cd0dbG+2y5ndNHJagu0h7iaPrTmvovG8xj%20ztqCfjOKp6ijy8RpVXx1NJgjJc5taOBINcCDyVrXqv2FDd03RkImaGClACaF3b2/qUduu5Dk6sn2%2075GFhYC53iFOVB5io7j1I80mZK03ClH5kDyg+InicFHlaTVCLcs9DJRb1KIqukEsINaOwGo9yjyx%20Yv5kaWMq7anj99aNTSGBwFDic+a8WFH4hYhCl3hzmhzi5zXDTX9RUiNiKN8cZEnbL0+qBixmrTIH%20ZLXftJrQ13rWhY6ldD87BqIA0E6nZ0qqC/BOSMsBel07mDfOxoq1zW0wLncO1a4W9u5YKBjru9qQ%20AMKEGPhjx+KmW7LZKt2jB3u4O1EMdSnmfyop9q2ixtWO5hLm9caEEBj6kOOZ05j4qXbslhbtfsIb%20Z2BgJABcSWkE6xywyot7tkhwdSQy5mYzU/wg01AYkE/ix4OWv6ddjU7ab0JbL0tdUNdqaKuLcqcx%202LQ7dTQ7VSLPubgwBoIc4jRmSWnL7VtVirN1vHqzoPRnsZ7h9YSwzfKO2za30cbm7BYC08YqA1+K%20r8jkrFqqT8pfAm2cKlan0b0D9O/Q3S2i5uIf5ruQAPzFwK6XfutGCoMnlLt3TZfAmxsxWx1JkbI2%20hrGhjRk1ooPuVabT1AEAQBAEAQBAEAQEI7mBuAsvRfrI1F+GkN5rX9T1eNDU7q8/HqTc1sNpyr3M%209mrTeRNu+xtFvuwGp0LaBsp//Mr7jeYlapC5rD8ij5DiVNOUN+xxAQ3Nhcutpo3WtxAdM0TxSh7e%20a6dyU41Tqjjb9pxbUtzKwz1AAyBBLDlVRZRpt+JBlAgXt3RgcPDG4ODmnLPsW6Fvp2N1u2YS6vzK%200gOxdhXjQYUKnQt0ZNhbozVN48Zlq4EaSDnQYK0tx9PwL7D0SNdYyh8xINB2DtCpLj1ZYSZk7V7o%202tLSQRhXjRQ5qpCuJMy9vOBk4uYRVrnZk/iHwUSUfxIU4Ej5jUA8nwgDTXkFrpTQ0+FNCPc37aOp%20RuoBzBzBPBbIW31N1uyYq7uo9RPGmHM9p7VKhbdCZbtuhiZ5KkAk6pDp1DMcVMitak6Ef2EEOYAH%20UAD8HngDyPYtpIaZWJZXSem1pdIzyNoXV+DeK8p1Ct1+86X0L7De4/VrGTMthte3SDwX14M68Q1v%20i+5VmXyVmy6byXRGyGNXU+huiPpj6C6fEdxuUbt53EBplfc0dEHj8jaAgd65/I5m7PSPpX7STGyl%20uddtra3toGQW8bYoYxpZGwUAA4AKolJt1ZuLi8AQBAEAQBAEAQBAEAQBAEAQHKrz3Kvrfq+5uBbP%20Oy2tydsmoPE6Rh/xG8wdQUCV7/V+RWyy39ZRj+nZ/M6qp5ZHhe0ZkCmJSoPJIopWFkrGyMObXAEf%20YV6m1qgco67+m7oTqZ0lzaRnab94JMtvk5+YLmuJH2K/wfcmTjqlfJfE1SsxZ859cexfuB0e9z3W%20p3HbGmvzdqC8Nb+/UCi7jB9w42TpXxn2ZCu4zWpoMNy7V4naXg4NxrUc6q7lAiTtkyPcnlvm1ubg%20RwPetLtEeVhFUl4XEB3ChGnLv7wsVbMY2uxFkkJ5uFcOePFbNjfGJWLstikEekBwoSSaVH61GzIf%206bqeK3VqpHs7g4asaYELnJxNl2Blo7x7GtGNATQDLHNRpWq69yFK0mVSXbnChJLW4hv5a8F4rVDG%20NqhEnvhUa3YMGJ/Ut0bSN8LPYtbbab1vV4Nv2eylv7ubBkUTS5wNVnNwtx8puiJtvHqdy9vvpQ3e%209MN/1lci0tyRJ/LYKl5H5ZdQGk9yo8vnP8Nv8Sdbx0t+x9E9L+33R3S8DYdk2yG0aBTUAXOP951S%20qC9k3Lj9TqSFFGwrQZBAEAQBAEAQBAEAQBAaJ7w9NjeOl/XdcugZtjxcmMGjZKEDS5RsqDlbaREz%20rcp2mk6fvMf7Q+nuc+49SWj3RWV6fT+SdgGyNpV9O4LTgRdHKujei7EfjIVi51/U9uiOh3W4WVqQ%20LmdkJIqNZAwU6pa+LpXoatJ1FcHqZm1xX7HWszhOJxQ6QMPQypV2a0uclPxLOOLF2PqU1WlP/wBj%20cRkt5VBAa31Z7d9IdVWroN426KckEMlA0vaT+IFtMu1TcTkL2PKsJNGqdmMtzhfWP0q3ls03HSt6%20JhGNXytxgT2NIB+C63C92Jul5b9iHdwq1ocT3zp/qHYJ5IN5sZ7GVho0yso12rCoPauqsZNq8q25%20KSK+Vhp7GLcQaUFMMVJSMEGTCN9a4gYg8jgvJwrFoOFUYsztrINTv4Zq4UFMcKLm1EmeG3xI0sjn%20Npr9Q1oBxDuYotqWtTdGOu1DpHt79P3XnWNxHcS2ztt2txDn3lwCwuZziFDqKq8vl7VpUWsjfC30%206H1D7f8A0/8AQfR/oXLLb+YbrCdQv7geIHsaDp+5cvlcndvbukexJUEjpgAAAAoBkAq4yCAIAgCA%20IAgCAIAgCAIAgCA8cCWkA0JFAeSA4XsXTxZ7hN6d+bkbu9hdN3S73Qk6riNpqIqZUo8Ciq4p/wBw%201Xpv+4prMH/cyX31O23u42NjG2S8nZAx7gxrpCGguOQVm2luXkLcpVoq01MLuPUTod8tdsa2OaK8%20o5rwdWlopUO4VNcFr835URNtYcZ2XN9P2mE6z9nOlepAZ2RfI37dRbcQilXHEam5Zq6w+XvWdK1i%20UOXgQvb6PucS6q9purOmy6V0Dr+zBFLiAF2kOOJcKDFdRicvav0TfizmMrirtt7VXw/eaiC1khLq%20udUsLMiaYY8iFY/Lbf5FU4vYvM0wAmpBAFa5NacKjvWFG1sa36j1zjq0GjmuFI3V8oGPi7V54p7H%20lOpHkupatANKtpQ507VsjBUdft8jZGCIMl1V2gku/M/kFIjCmyp8CTG31MttF7qDT5nNFA392v6V%20EvW9/iQ8i0S+qbqlw2ZoMjRHQVHhI5V5rnb9v1JM04ENGvia1cXcrnaZDrLCC3AAUplgkYJ67FpC%202uhh7y6LiQ3A6g5jxkaZqXCPQn2rZhL258YIppo7W9xpXm0d6m24V0LC1b0MZcPk1Ay4VHhHJpyo%20pUEuhMglTQste2ooMa0Has3qZtF+3ilnnbBbxumuXmkcTaucSOFFrlKm7ojzxbOtdGfTT7idSRsv%20dwDdotJNJrPqbMWnkylMlT3+btW9Iam63Y/A+ifb76fug+jhHcC3/me6Mzv7kVPcGVLB9i57L5O7%20f0bpHsS4wSOmMYxjQ1jQ1owDQKAKuMj1AEAQBAEAQBAEAQBAEBza6606ki9zWbRFY1s3t9N7D5yw%20EkTNxppKgPIavqPjo1uVksqSylbp6Wjo0k0UTdUr2sbzcQP0qeWZBtN7tbnc59uYD60DdbnYFpFa%20YELCM6uhIuY0owU3szXuv/bja+p7R0zGiDdoxWC5bhqPBr+bVaYHISsS7xKXO4y3fVdpdz5733Zt%2012DcnbbuEZZcRg+k410kfmaV19i7C9Csdjh8jEuWnSap+8wG5SPbECASQatIyUyzFN6nlmKbMDdz%20eN1SQ4Cg7a5gqxtxol1LSxb0IlwRPEXgYgUPwWyLpVd9iVaXg6GuBhMjjkA7E9tVRSdG/mT5Mmw+%20T4mv9a0SI0tyVHK/TqxeGgB4OVPwrU4rY0uKPXXLy3UXBxJIId5iBlVeKB4raIk1yA3MFxdi8/rW%206MDfG2QJ5SdThUitQ1b4w6dSTCJFgt7y+uvQ2+3fPO91I2xtJxOFe9bqqK1JkLeyZ2PoP6Ves97L%20LjqF42eybT+C/GdzTjVtA5o+Kp8rnLcNIeokwtV12Ponof2L9vekBHLZ2Dbq+jIc2+uQHSgjlSgX%20PZPKXru7ouyN6gk6nQQABQCg5BVxkEAQBAEAQBAEAQBAEAQBAEAQBAEByfcdR997G2AHyxsg98IA%200l3j8RGVe1QJP/2EulKlXcb/ALqKW1DKe5HvJsnSDYoYDHuG4OeWS2rHVdEAK6n0yW6/kq38zr+K%204S7l1dHGFP1dCz0Z1Df9YyWXUbNsnsrAyaHxy6m6zQn1mCviZwXsZ+dJUPL1tWIStSac/h+XzOlK%20QUoQHj42SNLHtD2nNrhUH4Fep0Bznrj2E6B6qhkc60FhuDgfTvbcULScfJUNKueP57JxmqPyj2Zq%20naUtep829c/Tr7gdMPdPYQO3fbwSGSWzS+UN/NIwDBdvx/ubHvUjP0y+JDnjtbnMXvlZK6GZjmys%20JD2OFC1zea6LxjJVTqiO4UKZJSWkuoDkHNNag50WaieRiWjQh1fFSmlwyA7VHzP6bNkdyqAurQVd%20mdLcTguZaqYzRdFwwNcddKUNK4nuWHg2YfTZkun+nup+pbr5fYdunv5HGjnxtcWtP7xGS13blu0q%20zdDdDGbO7+3/ANJk87Ir/rW8LXEhw223xaW50kedJB7lQ5XOdLSp8Sbbx1Fn0N070f0z05ZR2ezb%20fDaQR+TS2ruXndV33qivZE7jrJ1N6SRmFpPQgCAIAgCAIAgCAIAgCAIDX/cCv+Td1pWvoHIVOY4L%20Vf8A0M1Xv0P5HHOgPdPYOjegJIpni53UyOfBZsxxOADyPKq/EyoRtpPfsS/bPC38uwpRVIJ0cnsa%20p1DsXuZ7gXR39m2zwR3REdvGx0gY1h/F/ZWuUbs35UPoGLfwcW39FzU2t3pqfQXQXQW29M9N2W3l%20nrXUWmWe4eS9zpedXE5VorWNpI4bJzZ3JPX07L5G2LYQggCAICDuux7Ru1tJbbjaRXMMo0vbI0E0%2078wttq/O26xdGYuKe5xLrr6WdnvXPuulbj+X3DjjavqYv9I6iur4/wB1zhpeXku/Ui3cRPWP4HBu%20uPazrfo6WVm5WD32jcRuMDS+BwPN5Aoexdbg8tYyY0hL1Po9yK8dp6lnof2X6+60uITbWUlttkhr%20/MLhpjj08waYrnsrk7NnrWXYkQtU6H097efTZ0P0qYry7Yd23RgBE84o1ruNGA6ftXL5XLXbqp+m%20JMUEnVHW44442BkbQxjRRrWigA7AFVmR6gCAIAgCAIAgCAIAgCAIAgCAIAgPnvqbr7bejPejd9xu%20WevJJbCCKBhqdbmsIJ5DBQ3YuxnK94ScNqpaV7GjjcCWRnONVBeNavYhb9sPu97mxG+uLIbbY2rX%20PsrWZzoS8u8TXCg8XetN36l1VpRHe4t/BwJ+FfqSlu+iOre1/ttF0r05Ha30z73cZntnuJpHFxa9%20uLWtJJwbWimWrSUddzm87Pdy4/D0w1SRva3FaeOYx7S17Q5pzBFQidAaR1Z7RdL7+HytiFneO1H1%20ohmXcxkrTF5a7a0b8kV2Vxlq9q1R9zi3VHtF1h0+DKLf+Y2H57er5GtH5mgYBdLjcvZvPfwn8djn%20Mvh7lvWOppI1Mc4NBbrJY5jvMwNxGatZaqroVMl36FqdjgPEavIwI/EOXYVnba6bfkewf4GMnqHu%20pzqVvjXxRLhsX9tnLXDgCaUOBHasLsKp90YZEC71LfNdJE51QxjKDt+CociFJaGvAtaOnc164vCd%20bWmoIoKca8a9ixjb6lpC11MRcXLXM9Nh1NNQAD5jyH61KjCm5Phbo6sxkszTEI9JJFaA/g5gc1Lh%20D4kuMda/Zlq3tru+uo7Wzhfc3EnhZDGC9zjyACyncjBVk9CRCDOx+3v0udZ9QOjut+rsu3GlWPH+%200Ef6twFPtVJl85bhpD1P9hvhZrqz6X6E9muhujIW/wAusWy3Y895MNb3Hn4tQHwXN5OfdvP1PQ2x%20tpG8gACgwAyChGYQBAEAQBAEAQBAEAQBAEAQHGPcLqpvTHu1YXhtn3U93YtgtIGfikDnmhJoOK1v%20CyG3ehFyglRmOHiK9lpTkrcKfqexTvvt77ldfRMut8vo9njik12u3wl/hBzLs8dPaov07s3WT8V2%20Othn4WGnGynck95Pb7jqfTvTW27Ft9vZ2jSTBGIjO/F7wDXxHvUqNtR2Oeycud6Tb27dEZZbCKYT%20qvpHaOpdufZ30Q1kH0bgDxxu/M0qVi5c7EvKP4dyLl4du/Gkl9/Y+aevvb/d+lrox3kbpbAu02u4%20tHhcTiA9drx/IQvr06S6xOOysCePL/xOZ7iyRta+EF2AGR7V0Nlp0fUmY8k/iW7WQyeA6SaECuR7%201lcj6WzO9Gmxhi3+I5o4udQdx8QXPSer+3y/Ak1KxIWjDjk3gNP61jQx8Tx1zRpcPKaU7+IRQ6BW%20yNc3opRzgxpy7Vsjbpr1N1u12JGxbF1H1FeCz2Dbpb+etDobUU51wXt2cLarN0RKhjtncOiPpH3C%208EV51bfG1jefUdY23nH7ri4foVJk89GLatqvx6E21ZS36H0P0n7e9IdKWot9k22K1wAkkAq955uJ%20qufyMu5ddZOpuUVWpsSjGQQBAEAQBAEAQBAEAQBAEAQBAEAQBAEBwL396c9w29TWvUPTNtJdQC3b%20BILYEzNLSS40bjTSVNwuNxb7buTdu7/hfQxxmrOVG+4+aiv0vqYfo3d/Yt+x3Teoo5mb2yg3WO+1%20NmL9Q8gLqkVW+XtK9B0glcT/AMSdS3v+5r9zZ+EFtFfbU7907fdPv2ewbtEsYsJIgbJjSMY+FAq3%206Mo6UaoVs7juNyerZl1iYBAEAQAgEUOIOYQGideezHRHWNu4Xlm21vaERXtu3Q9pPEtbpDvirTA5%20i/jP0uq7MwnbUj5y64+mPrTYGTXO0Fu8bfFi3ThPQ5/wwCu44/3XYu0jc9E3+H4kO5jNP06nH762%20u7KWa2u4X20zKa4pWlj20/dKv8icZ2vKLqjTGNHqZTpDoLrDq+6Zb7Dt8s7XHSbshzYWn9+QCgXL%20ZOdatKs3r26m+Nps+hOgPpIsreWO76zuheOaATYQEiPV/rGlriFzuXzspJq2vH4m+FlJa7nftj6b%202PYrRlptNnFaQsFAI2gH4nMqjuXZTdZOpvqZJawEAQBAEAQBAEAQBAEAQBAEAQEPedrg3Xa7nbp6%20iK5jMbiMCK8UMZRqqHzVeeyPuH0Dubd86cfFv8cRJfDNG0vOZwjIfVdfby+NzaK/bVq4tE47ffsL%20V+/ah9OEqW+xsm1/UvcM2y4jvempLXdbNnisWagNQNDwFB8FhP2ynJfTuRlB9TSrsqao6v0t7hdN%207/stnuMd5DA+6AravkaJGPy0OaTWq5+/gXrUnFxehvUk9jZgQQCMQcioZ6EAQBAEAQFu4tra5iMV%20xEyaI5xyND2n4GoWUZOLqnQHsMEEEYigjbFE3ysYA1o7gF43XcFa8AQBAEAQBAEAQBAEAQBAEAQB%20AEAQBAc89x/ZLpPreQ3ty11pvAbpjv4iagfvMqGuVrx3MXsXSNJQ6xa0NcrddnRnIeo9195faqAb%20dJvMdztk/h2y5kayWTUMGsIcDSq6PBxsDPl5uPhNfqXR/I03FOFKaxqjrvtz7n33U1pt0d1tktte%20TxuNw5wIaDFQF2X4swqDkuKWO5UkpJPT7zbG7XY6IqY2njXahWhFDTFA0eoAQCCCKg4EFAaZ1d7U%20dK9Rse98AtL0ijLmEaaU5tFAVZYfK3bD0fkuzK/J421d1aozivVnsz1ZsRfNatO42XCWIapQeJLB%20lgulxeas3aKXpl+z5VOfy+FuW9Y+pft/A5neMdHLoewxPbgWHzA9xXQW5V6kCMWtGY8SuZIDShr4%20qGoHaSpDSoqExwTiRd/vtU8AkJPhphyr5jyCpcu2vPTahlhWaJ0MHPdEkPa7SzVpjBwBP569i1xh%20XQsYW+n2+RGtra73K6Za7ZBLc3jydNtA0vd26aY4rc/GGsnoiXC2+p2H2++lnq7fhFedRSfybb3+%20L06arh2OIdG7TpqqbM56Eaq2vJ/sJscem59KdDe0fQ3RkGnaNvZ8waepdTfxZC4cQX6tPwXNZGZd%20vP1s3KKRuajGQQBAEAQBAEAQBAEAQBAEAQBAEBr3W3Q2xdX7UbDdIquYdVtctwkhk4OYQpuDyF3G%20n5QfzXcwnBS3OT9LdU+6XSPVsvT++2V3u3TNo/5e33TQC4xg0a8Hw1XQ5eHh5FlXbUowuy1camqE%20qOknp0O8tNQDzxXIkgIAgIm67Tt+62UllfwtntpRR8blnbuShLyi6M1XbMbkfGSqj5i93PZncOnh%20JuVgHXezkmgaKviJxAd2LvOH5qN5+EvTL8zn72A8f1RdY/kcfhq1/M1phnVdM16X2PJOpiZZaTPo%20DUuOoHmDgVzlPzNyiWJJwwHU6mo5cSVnT9hsjCuxsXRvtx1v1rMxmw7dJ8sXFkt/KC2CMjg52K0X%208q1Z1m9exIt2K/E770B9Jez2Qju+sLr+ZXIcS+xjNLf/AEvC+qosrnm9LSp8XuTbdmjqzuexdM7D%20sFkyy2exisrWPyxxjL4mpVHdvzuS8pOrN6VFQya1AIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCA%20537k+y+wdZ+hMwx7XfROJkuooGPdIwg+FwOn7Vd8TzdzEb08ovpU1XLSkRfbzoW26T3Nu0uN1dx2%20jKWl28OEda95aMOCy5LPeTFz9MfLdHsbbT30odOVEbAgCAIAgCAZoDVOqva3obqmWCbeNrjlmt3a%202SM/huJrXxFlNXxUyzyF61FxjJ+LPPFGwbZtG17XattdutYrSBgDQyFjWDAUx0gVUWUnJ1bqektY%20gIAgCAIAgCAIAgCAIAgCAIAgCAIAgCA0Hr32e2Hq/cbG/lkdYzWppMbcafWjxOl5aW8Tmrbj+Yu4%20sXGNGpdzCcK07o1zbPb3YOkepbCxgt7m4tnO+dfOInSM9Zh0taXYjI5Kfe5K5k2pSbSf6d+hgo+o%207A0gtBAoCMAuaNx6gCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAi321bbuDWtvrWK6aw%201YJmNfQ8xqBoibWza+8GNi6blg307ja3TYLctaz5NsTdIAFDR3apbyU7fg1V96mMY0bfQziiGQQB%20AEAQAgEUOIPBAaZ1j7UdJ9TxOM1s22vKER3MI0kHmQ2mpWOHyl6w9HWNdmQ8nCt3VqqPv9tz5367%209lOsOmRLdQQnc7BjS71YAXPArxjbVdrgc5YvUi34S+3UrJ8bODotY1+3yOVP27fd23iKw2uxmu7t%20jdLo2Mc4gk5OoFJ5KUItOTUVQ22MbR0Or9BfSn1Lu3o3vU90NrsydfyjB6sjgDi01LdFVzWVzsY6%20W1V99iwjjU33Po7ov2v6L6PtmQ7Nt0bJG/8AeZAJJqnP+I6rgudv5dy66zZIjBLY2tRzIIAgCAIA%20gCAIAgCAIAgCAIAgCAIAgCAg7rtFvuTI2TEgRO1inErZbuOGx41VEtkQbQk6ngaS48QsGxQrXh6E%20AQFMsUUsZjlYHsdg5rgCD8CvU6HjSaoz5w95vYK6gNz1B0jGXxOrJdbYwEuac3PizrzXa8N7hTSt%20X38n/ErL2Eouq2OVdIew/uR1VKwtsjtlhI467u8DozQHxUABxPBZZHJWbVaur7Izt42up9A9BfTB%200N05JHeblq3i/ZRzHT+FjHD8rWmh+KoMnmrs1SPpJkbSVep2C2tLW1jEdtCyGMfgjaGj7Aqdyb3N%20pdXgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCA%20IAgCAIAgCAIAgCAIAgBAOYrRAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAE%20AQBAEAQBAeOa1zS1wBacCDkUBCs9h2SyuH3FpYW9vPJi+WKJjHH4gArZO7OX6m382EqbE5awEAQB%20AEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQAgEUOIOYQHjWtaNLQGtGQGASoPUAQBAEAQBAE%20AQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEA%20QBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQ%20BAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQB%20AEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEBbhuLecOMErJQx7o3ljg7S9ho5ppk5pwIQFxAEA%20QBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQEaHdNsnvp7CG7hlvrVrX3NoyRjpo2v%20roc+MHU0O0mlRigLs9zb27A+4lZCwuawOkcGguedLW1PEk0CAuIAgCAIAgCAIAgCAIAgCAIAgCAI%20AgCAIAgCAIAgCAIAgCAIAgCAIAgKZpooYnzTPbFDE0vkkeQ1rWtFS5xOAACA9Y9r2h7CHMcAWuBq%20CDkQUB6gCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIASGgucaAYk%20nIBAQrLfNlvooprLcLa6ine+KCSGaORr5IiRIxhaSHOZpOoDJATUAQBAEAQBAEAQBAEAQBAEAQBA%20EAQBAQd93zbNh2a83ndJhb7dYROnupiC7SxgqcGgknkAgNWsPdjaJt52batw2rctmf1E17tiub6O%2039G60MEha0wTzvicWEENmawnvQGP9y95PRW97D1dCSzb7+/h2fqWEYMkguWlsF0/gJLaRrRqzLHF%20v5aAdHQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEBwjaN42Toz3u9xDabTc3L%207i02mSHadmtTNPK/0HuleyJmljRxc5xa3Uc9TsQOldE9fdJe4my3j7COQshe6z3faNwh9O4geRR0%20NxC7U3EVyJGY4FAYr206iuI+o+qegb+aSe46Xnik225mJdJLtt7GJrdrnuJMjoKmIvOY01q6pQHQ%20kAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAYrqLqXa9gtYZ75z3SXUzbWytYW%20GSe4uJKlsUTBm4gE8gASSACUBiOn/cnaN26nuelbmyvNm6jtrcXp2zcGwh8ls5wb6scltLcwvbqN%20KB9ezAoDCbNvJ6a92J+hySNm3uw/nGwxny288b3MvLWL/q3ACZrRg2rqYUCA6OgCAIAgCAIAgCAI%20AgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIDR959wunrv+b7bHsl91Jtm1l0G/T2kE%20E9pC5oDpInNmljdO+MYvZAyQt4iuCA0r6bNlst6+n3bttvQfRnlvQHsJZJG8XUhZLE8eJkjHUcxw%20xBxQG6ez/WV71L0xcRbo8P37YL652XeXgaNdxZv0erp4eowtcf3qjggN5QBAEAQBAEAQBAEAQBAE%20AQBAEAQBAab7x9Sw9M+2e/b1NtkW8RW0DWu225YJIJfXlZCPWYQdUbTJqeOQQHKuqty2SPqz2x3C%2046rj3q4G5Ca7uGSxxbfbxPtXFvpwRaYoWH8Hq1koPMcUBsv1SR/zL2nZt9o0TXW77lt9rtwxGqWa%20WrKYcQCgOxIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCA5P0nd2sP1D9fW80z%20I7i427aH28L3Br5Gxwv9RzGk1cGVGojJAVe19g2691PcbqrbmD/L+5y2FpZ3bD/CuriygLLqSLAB%20zWSks1CoLq45oCN0nA64+pfrm9gjHy9jtO32d1KK4zzNjmYOVfTZ9yA6+gCAIAgCAIAgCAIAgCAI%20AgCAIAgCAIAgCAIAgCAIAgCAIAgCAIDj3vjvDumetvbfrG+Y89NbRfX1vu8zQXNhduFu2CCZ7RXB%20njNfgMSgNz2bqzoHqDqeKXp2Sw3rdWWrhd7tZGKZ1taE1bFJcMDi0ySU0w6uDnU8KA03rG3fefUt%207fi3YHP2zbNzvL12NWwTRPtoyRl/ivp8UB2BAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQB%20AEAQBAEAQBAEAQBAEB48OLSGEB9DpJFQDwqKiv2oDhn04dZbJtHQ970z1Lfw7Z1PsN/efzm2vpWR%20TOdJMZPWGsjW0l+nUOI7RUCf9Jd7ZzezO220U8clzbT3QuYWPa58eu4kczW0GrdTcRXNAXfp/t3v%203b3L3RkXp2V71XfNtnY/xPRedbxXg4v+2o4IDsCAIAgCAIAgCAIAgCAIAgCAIAgCAIC3c21vdW8l%20tcxMnt5mmOaGRoex7HCjmua6oIIzBQGLh6L6Ohs7ayh2Lbo7Kym+as7VlpA2KGf/AKWJgZpY/wDe%20aKoCDuPTEm+9T7duW6xhu27BK+42uyJDjLeuaYxdy0q0CJjnCFudXFxoQAANmQBAEAQBAEAQBAEA%20QBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEBi956V6X3wxne9nst0MP8Agm9torjRx8PqtdT4ICVK%2011lYCPbrNr/SaI7e1YWwxgDBorkxjewHDIHJAYno7pOPYLW8lmkF1vO73L7/AHi+DdIluJKANYCS%20WxRMDY421waMcSSQNgQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEBavLO0vbW%20W0vII7m1maWTQTNbJG9pza5rgQR3oCJtmybLsVg+22Ta7ewtm1eLOxhit2OdTg1ojZqPagMX0/0s%20633/AHLqndAx++7myO2aGHUy1sYCTFbRuNCavc6SR34nnk1qA2RAEAQBAEAQBAEAQBAEAQBAEAQB%20AEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQGLuelumLrdot5udosp93goIdykton3LAMBpmc0vFOw%20oC1c7bNteyjbOlLG1sHEGO10Rsitbaop6phj06tOYY0eI4EtGIAq6S6X2zpfp+02TbQ75e1adUsh%20rJLK8l8s0rvxPke4uceZQGXQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBA%20EAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAE%20AQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEA%20QBAEB//Z" height="275" width="999" overflow="visible"> </image>
          </svg>
        </div>
      </div>
      <div class="fig"><span class="labelfig">FIGURE 3.&nbsp; </span><span class="textfig">Steps of the soil cutting process by the farming tool to different distances of displacement: a) 0.15m, b) 0.6 m, c) 1m, d) 2m.</span></div>
      <p>The
        draft force reaches a maximum value of 14,1 kN to 0,25 m from the 
        beginning of the contact of the tool with the soil block, diminishing 
        first in parabolic form to 1m, as the tool moves through the soil block (<span class="tooltip"><a href="#f4">Figure 4</a></span> ) and next it is practically constant, while it is almost zero when the
        wedge of tool comes out of the second one. These results are similar to
        those estimated by the ASAE D497 Dates (2006) for farming tool of 
        narrow tip.</p>
      <div id="f4" class="fig">
        <div class="zoom">
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8PNH8gKVj%205GEZwLAvjuAcDiGrQNA0GWRaH5rXZ6+V8QTiva4WbCEvDzR/IClY+RhGcCwL47gHA4hq0DQNBlkW%20h+a12evlfEE4r2uFmwhLw80fyApWPkYRnAsC+O4BwOIatA0DQZY1ofmthkr43zBALFrhZc4Q83DH%208gqFk42MhwDEpluQMxkGrQNA0GWNaH5rYZK+N8wQCxa4WXOEPNwx/IKhZONjIcAxKZbkDMZBq0DQ%20NA0DQc+/lcy+fQeJt1zrFP1k/Zx9o0seDGvPBC0KxKWk/wD1IJZsR+gZeuwf1R8ur3fML3jkEDEU%20KkdqS9kONnkleJokG3rx8fubfbf2/UHYMf3L/wCnaf8Axzx//nlLQdVoJWWtLGDVjjll5IwyyuY1%20EZdRKwZUk3ZY8mVdvcwCkqDkAroGgaDxPLvK6HjVCrbuNGq27tWihlcxIPkSgSSNJi6qIoQ8vu2B%20xxyG++tWrrV04ibds4Tth5dq7q1q6UZmtZtPqju7ZmZxERHbPdxevVtVrdaG1VmSxVsIssE8TB45%20I3GSujLuGVgdwRrfelqWmtoxaOExPOJQYlTWIaCUzWhJAII43iaQi0zuUZI8GIaNQj5tyBFxJX2k%20tvuMWCugaBoJTNaEkAgjjeJpCLTO5RkjwYho1CPm3IEXElfaS2+4xYK6BoGglM1oSQCCON4mkItM%207lGSPBiGjUI+bcgRcSV9pLb7jFgroGgaCUzWhJAII43iaQi0zuUZI8GIaNQj5tyBFxJX2ktvuMWC%20ugaBoJM1r5UarHGahjcyylyJFkBTjVY8CrKylyzFxjsPRsiVCugaBoJM1r5UarHGahjcyylyJFkB%20TjVY8CrKylyzFxjsPRsiVCugaBoJM1r5UarHGahjcyylyJFkBTjVY8CrKylyzFxjsPRsiVCugaBo%20JK1r5UitHGKgjQxShyZGkJfkVo8AqqqhCrBzlufRcQWCugaBoJK1r5UitHGKgjQxShyZGkJfkVo8%20AqqqhCrBzlufRcQWCugaBoGgaDk7vReRS/czre+hjqfklbqrfXTyNYlW2JLc0M4dIOB4mCmoq+so%203yJ/ZAYMPjH267bovMD2reQ3Ox6xeujpLBbWkJXkWaWQ8hr1K5KjkzzzzZy2W40Ffu51PVdn4tSg%207KnBehXvOi2isxJKo5e3qwSe1ww98Urxt+tWI+hOg6ut1PVVfi/GpwQfBgNSjxxInBXbDeGLEDCM%208MfsX09q/qGgP10I5mqH4M1meKzanrpEHmaLjU8hdHDZxQrCzbZBPRSpCkAXqeqWhX69acAoVOH4%20tMRIIYvisr1+OPbFeJo1ZNh7SBt9NBVqlVrUdxoY2twxvDFYKgyJHKUaRFfbIK7RIWA+uI/UNAhq%20VYJJ5YIY4pbUgmtOihWlkCLEHkIHuYRxom5/ZUD6DQfDfvlRpWPOvtf4l18EbVGsvFb6eooBj67k%20rJ6RxbNFCIYZdmXYAI2x9vpY/KfJtrudnuNbcUz8OvgtM2rEWxbhwmImc9HCc8470zZ+dbrZWxt7%209HXjq4VnOOXvRPfLzpK3mv2LuJdeCPyb7ci1JFFYwB7LrK9tkaREbaNIlmmVCyj91I8Y/wBkzjXa%2009PZ+c1isZ0t7WmOM5rfp75nNrTiOcz1xE8fiRVy9S962m04xM54REYz3RGIj1Rw9T7h4v3five0%20ZO48cs1bla9IstqzVxyabhjUfIA2cTLCI1KyDNVCggbape72ert79GrWaW9P2Zjvj0xwlvraJjMN%20y9T1S0K/XrTgFCpw/FpiJBDF8Vlevxx7YrxNGrJsPaQNvpqM9LHXQzX6d7fjs0+RRIqRFnhmXaSB%20ndHdY2dI5CI2Ulo03JAIIVhqVYJJ5YIY4pbUgmtOihWlkCLEHkIHuYRxom5/ZUD6DQSXqeqWhX69%20acAoVOH4tMRIIYvisr1+OPbFeJo1ZNh7SBt9NBVqlVrUdxoY2twxvDFYKgyJHKUaRFfbIK7RIWA+%20uI/UNBL8uhSzz1j8R5J/k3hCkQ+Uwg+OOdmRmbFVj2ZSG9ijfHdSBep6paFfr1pwChU4fi0xEghi%20+KyvX449sV4mjVk2HtIG300FWqVWtR3Ghja3DG8MVgqDIkcpRpEV9sgrtEhYD64j9Q0CGpVgknlg%20hjiltSCa06KFaWQIsQeQge5hHGibn9lQPoNBkl6Prmq0KMcUcHXdfJE8PXxxQ/HK1h/p48GRsFhk%20CSx8eLKyLsdtwQ1tUqtajuNDG1uGN4YrBUGRI5SjSIr7ZBXaJCwH1xH6hoENSrBJPLBDHFLakE1p%200UK0sgRYg8hA9zCONE3P7KgfQaCS9T1S0K/XrTgFCpw/FpiJBDF8Vlevxx7YrxNGrJsPaQNvpoFj%20roZr9O9vx2afIokVIizwzLtJAzujusbOkchEbKS0abkgEEKw1KsEk8sEMcUtqQTWnRQrSyBFiDyE%20D3MI40Tc/sqB9BoJL1PVLQr9etOAUKnD8WmIkEMXxWV6/HHtivE0asmw9pA2+mgq1Sq1qO40MbW4%20Y3hisFQZEjlKNIivtkFdokLAfXEfqGglH10MN97cB4OfNrkMaRKtiZlijSeZsOVpI4oBGpz2x9CD%20smIF6nqloV+vWnAKFTh+LTESCGL4rK9fjj2xXiaNWTYe0gbfTQVapVa1HcaGNrcMbwxWCoMiRylG%20kRX2yCu0SFgPriP1DQIalWCSeWCGOKW1IJrTooVpZAixB5CB7mEcaJuf2VA+g0GQ9H13HTqpFGnV%200Y0Sv1SxQ/FVoHikrSKhQsjVmgHFgyqu++xIUqGtqlVrUdxoY2twxvDFYKgyJHKUaRFfbIK7RIWA%20+uI/UNAhqVYJJ5YIY4pbUgmtOihWlkCLEHkIHuYRxom5/ZUD6DQSXqeqWhX69acAoVOH4tMRIIYv%20isr1+OPbFeJo1ZNh7SBt9NAk66GTta/ZE/vq0E9ZBhEfbYeF2/eFDKvrXX2q4U/tBiqFQrDUqwST%20ywQxxS2pBNadFCtLIEWIPIQPcwjjRNz+yoH0GgkvU9UtCv1604BQqcPxaYiQQxfFZXr8ce2K8TRq%20ybD2kDb6aCrVKrWo7jQxtbhjeGKwVBkSOUo0iK+2QV2iQsB9cR+oaCVfroa9+5bhOHzeNp4VSJVa%20aNeMzsyoJXkeIRxku5GMaBQPXcC9T1S0K/XrTgFCpw/FpiJBDF8Vlevxx7YrxNGrJsPaQNvpoKtU%20qtajuNDG1uGN4YrBUGRI5SjSIr7ZBXaJCwH1xH6hoENSrBJPLBDHFLakE1p0UK0sgRYg8hA9zCON%20E3P7KgfQaDJH0fXJHHVEUZ6uCOqlPquKEVa7UnMkMkKBAysrCPH3YrxoUCnckNbVKrWo7jQxtbhj%20eGKwVBkSOUo0iK+2QV2iQsB9cR+oaBDUqwSTywQxxS2pBNadFCtLIEWIPIQPcwjjRNz+yoH0Ggro%20GgaBoGg5D7rWY6viUVqUSNFB3PQyusMbzSFU7qmxCRRK8jt6eiopY/QDfQdVUsx2qsNqISLFPGsq%20LNG8MgVwGAeKVUkRvX1V1DD6Eb6CXZrQasgvV/kw89cpHwtY2mE6GCTBVcjjlxfPbaPbMlQu4DVo%20GgaD4J3y0O//AMquvDV+WHxPrYDejmhafKaRya0kCRrMf3UvZQOXcKI8WckBd9XfT/I8gt1fz9Xw%2047MTHP8A9duWez2Rp46vqh93tVa1utNVtQpYq2EaKeCVQ8ckbjFkdW3DKwOxB1SqXtS0WrOLRxiY%205xKTMPiXk32y8y8B7+/5r9pxC1SzCz9x4jKrtFKyncGrDGVyxyZ1jDKykFY8lfj1ddn5ztt/pV22%20/wA9UT4NWMZj/qmfsmcTE8Jtia9SNbTms9VPsd99tPuv4t591MVnrp0r9qELXulkkU2YGQqHYL6G%20SLd1xlC7HcA7Nuo4PnHkevsNSa3jNP2b48M93qtw415+uMTO3T1YtDqbq0DZoGzX5plnY0ZOFpeG%20bglBkzVWEO8XImbFQcsN93APGbGrQNA0GW6tA2aBs1+aZZ2NGThaXhm4JQZM1VhDvFyJmxUHLDfd%20wCGrQNA0GW6tA2aBs1+aZZ2NGThaXhm4JQZM1VhDvFyJmxUHLDfdwCGrQNA0GW6tA2aBs1+aZZ2N%20GThaXhm4JQZM1VhDvFyJmxUHLDfdwCGrQNA0GWRaH5rXZ6+V8QTiva4WbCEvDzR/IClY+RhGcCwL%2047gHA4hq0DQNBlkWh+a12evlfEE4r2uFmwhLw80fyApWPkYRnAsC+O4BwOIatA0DQZZFofmtdnr5%20XxBOK9rhZsIS8PNH8gKVj5GEZwLAvjuAcDiGrQNA0GWNaH5rYZK+N8wQCxa4WXOEPNwx/IKhZONj%20IcAxKZbkDMZBq0DQNBljWh+a2GSvjfMEAsWuFlzhDzcMfyCoWTjYyHAMSmW5AzGQatA0DQfNfJpa%20rdl5F2Hm3X2ZPF+mlhXrWeaGDr2h+LDNJM8ck8PNL8iV492Vl2UKvuz3D0/AeroyVqvc9H13Y+Md%20bNmJei7AKqzRsv7uZawmm+Mwb6fhYjcMv4SA6O/5P0FDu+s6O3dji7fuDKOtperSSiCNppG2UHFV%20RD7m2G/p9SBoM7+a+Np30XRPZdOwmdoYC0E615JlQyNClox/GaYIpJjEmfofT00GH7l/9O0/+OeP%20/wDPKWg6rQSstaWMGrHHLLyRhllcxqIy6iVgypJuyx5Mq7e5gFJUHIBXQNA0Hwn7Lta7z7m/cjzB%20I4+xl/MIus6ztC5jrPQWwyyrFJCjxStHVggdfbu2y7soctq7/Uv5Gx2u3jw+HrtXti2I4znjHG1/%20Rzjs4RtHja0vu2qQkmg+V/cn7K/mvZVPK/Bp4fG/N6MxmW4i8UFnkcmU2RGj7yHNiXwbMEo4ZSCt%20p8n+ovhUnb7qJ1ttaMY5zXHLpzMcOEcMx0+9XE89Gpo5nNeEsfhP35aa9N4957WreM+T9fZaLs/k%20O9enwGN5I5IZGE0YbIIuMkqq6tnG7b4a1eceR00raVtrb42nr56I53zWM28MRmYjtnHh922Jx1SN%20vp6mpS9+nw6eOqeyMziPtnlHbz5ROPsGq28NA0EpmtCSAQRxvE0hFpncoyR4MQ0ahHzbkCLiSvtJ%20bfcYsFdA0DQSma0JIBBHG8TSEWmdyjJHgxDRqEfNuQIuJK+0lt9xiwV0DQNBKZrQkgEEcbxNIRaZ%203KMkeDENGoR825Ai4kr7SW33GLBXQNA0Ema18qNVjjNQxuZZS5EiyApxqseBVlZS5Zi4x2Ho2RKh%20XQNA0Ema18qNVjjNQxuZZS5EiyApxqseBVlZS5Zi4x2Ho2RKhXQNA0Ema18qNVjjNQxuZZS5EiyA%20pxqseBVlZS5Zi4x2Ho2RKhXQNA0Ela18qRWjjFQRoYpQ5MjSEvyK0eAVVVQhVg5y3PouILBXQNA0%20Ela18qRWjjFQRoYpQ5MjSEvyK0eAVVVQhVg5y3PouILBXQNA0HzbyHxm9Z88q9r3fbRrDJfSp4b1%20ktf5NeKRKBsyWGTKNRYLQWQrvlioUKQW0HReE2exlteSw3u2Tt3qdqII3jQRrAooVHaDBSwBV3Zj%206/Vv/hoPO86llTzXwFkqXJ4oOzsyWZq1SzYihSXrrNVGmkhR0iBmsIN322G7eiqx0Dte/pdl5nQ6%20ubre0MXUWlmgnXrbwgmtujwBvlNCKwggjmd2bkGTY477bMGn7rNaXxKJqccc1te56E14pnMUbyDu%20qeCvIqSsilvQsEbb9R+mg6WtJ2rfF+TXgizgLXuOd5OOx7No4soY+WP1k/eNgfRfZ7jiB478/NGz%20/DRJ4mrTV3WR5IU45HWRZYisfIweJguRw9yurH2AWTtfgV3avAL7cPyq4ncwpkyixxzcIaTjUsU3%20jXMgA4b7qFWa18qNVjjNQxuZZS5EiyApxqseBVlZS5Zi4x2Ho2RKhh7fuj03Udx3HYw/6HqoZbai%20u/JLLXggErko6xKkmQdVXMjYA5DIqu/bbe2tq106+9e0VjPLMzh5acRl8l/xl6PuKn2hjsV5UVu1%207c3ocHCMKsU0Nawjl4Z1yZasvtC+4EAPGxzS0/XG4rff9Mfy6VrPr424ey0e1o20Yq+0M1r5UarH%20GahjcyylyJFkBTjVY8CrKylyzFxjsPRsiVp6QQtaMk4njjSJZAKrI5dnjwUlpFKJg3IXXEFvaA2+%205xUJLJ2vwK7tXgF9uH5VcTuYUyZRY45uENJxqWKbxrmQAcN91DifPvs90HmvfQX+0exHGKTVJnrz%20pG2ySF4lEbQS5BuaXJuRcdl2U5Erji0alNSLWidK3VXui3CerExMZ4RnvxGeTteX+eam10L6Naad%20q6uerqi2ZiYxjNbV4c8d2Z73Ew/4uV+rknn8U8q7bx2+ZBFHeScTtNTKKzpIkCde0bGcfTkdcVB+%20rbJef1rfV4bnR0tWndjHHv8AF1xyz2dvNXPlojlMwVPtt/kr01WGv1Hn9W2ksazXD2Qed47LACSK%20KWxXuSPCuIxbdN/U4Kfq/vHk+t4tbbTS3LFJ4Y9k6fH2d3HufD1I5WV/9S/8i+k/1fkf28h7Gi/7%20qODp5C04lPuDMIZexbjxVgf3YG5Hu/QX9n8n1vDo7maW55vHDHtjT4+3v4dz4mpHOqsH+RixWKcf%20lfjfbeKTx2RJahlRXjei8UkYmbmhinZUm9zLEgb2bh29Y24Hmnlmlt9xpaOjraetOtmIxPK3ZExE%202x1zMVrMzEZz1dMVy7fl/letudtra8RiujGf+rvxPCPDXNp7fdiInqfSvGvNOr8m6eC50Vzr+xt4%20VZL9atbLrXWwQZAzcQmDKgkMaywxlyuLBPUrC3ew19tbp1aWpz5xwnHPE8p9ccHLraJ5PdZrXyo1%20WOM1DG5llLkSLICnGqx4FWVlLlmLjHYejZErEZELWjJOJ440iWQCqyOXZ48FJaRSiYNyF1xBb2gN%20vucVDJKvcyVaEwEcF6OSJ71OOYGuyuMJ4+Z67SOseZkjxSNnZFDFFZtBrZrXyo1WOM1DG5llLkSL%20ICnGqx4FWVlLlmLjHYejZEqCFrRknE8caRLIBVZHLs8eCktIpRMG5C64gt7QG33OKhJZO1+BXdq8%20Avtw/KridzCmTKLHHNwhpONSxTeNcyADhvuoLEd979PifipRcklkq65SNjhHC0bRPvGc2kLLIjKy%20IPcrMNBWFrRknE8caRLIBVZHLs8eCktIpRMG5C64gt7QG33OKhJZO1+BXdq8Avtw/KridzCmTKLH%20HNwhpONSxTeNcyADhvuoVZrXyo1WOM1DG5llLkSLICnGqx4FWVlLlmLjHYejZEqEo47733mmfirR%20ZxwQRurrMrrEwmmDRK8ckbrIiqkhUqcm3JAQCydr8Cu7V4Bfbh+VXE7mFMmUWOObhDScalim8a5k%20AHDfdQqzWvlRqscZqGNzLKXIkWQFONVjwKsrKXLMXGOw9GyJUELWjJOJ440iWQCqyOXZ48FJaRSi%20YNyF1xBb2gNvucVDIV7lo6doiNLYjRLnXLMDVyleIzSLOa/M7QIsnF7UV99nC7hkDWzWvlRqscZq%20GNzLKXIkWQFONVjwKsrKXLMXGOw9GyJUELWjJOJ440iWQCqyOXZ48FJaRSiYNyF1xBb2gNvucVCS%20ydr8Cu7V4Bfbh+VXE7mFMmUWOObhDScalim8a5kAHDfdQSR3z2teRH2oLBOtiPNRvMzwmFsDEzNi%20qyeomUDf1R9wYwrC1oyTieONIlkAqsjl2ePBSWkUomDchdcQW9oDb7nFQksna/Aru1eAX24flVxO%205hTJlFjjm4Q0nGpYpvGuZABw33UKs1r5UarHGahjcyylyJFkBTjVY8CrKylyzFxjsPRsiVCVeO/8%20+5NO+1Y8cdOBXV1xRcnmYcUbpI7yFCvI64ojDEs40BZO1+BXdq8Avtw/KridzCmTKLHHNwhpONSx%20TeNcyADhvuoVZrXyo1WOM1DG5llLkSLICnGqx4FWVlLlmLjHYejZEqCFrRknE8caRLIBVZHLs8eC%20ktIpRMG5C64gt7QG33OKhkjXuRHHacRm3LHVSx13MDVhYOTZkhnFdZpGwkOOahXwQbRZM2g1s1r5%20UarHGahjcyylyJFkBTjVY8CrKylyzFxjsPRsiVBC1oyTieONIlkAqsjl2ePBSWkUomDchdcQW9oD%20b7nFQroPlnn3V2pO97B+/wC/77qvG7EcJ678prw2oI5FTGZpHFK3PXfIAoSQP0q+TYKGz7VQR9XH%20P1fSz9j3XST2Ta/NezrtQFeIVYYUrwKYK62S0kJctFGiDJsmMgOYfR9A0HK/cv8A6dp/8c8f/wCe%20UtB1Wgy9mtBqyC9X+TDz1ykfC1jaYToYJMFVyOOXF89to9syVC7gNWgaD5z/AJDd5J1H2i76SG0l%20a1cSKjCHwylWzKsc8SK++TNXMn09QAWG22+rF9KbaNXzDTiY6q1zaefDpiZrM4/e6fRnh2tOvOKS%209H7e9D1nS/a7xjrLnXPGsVahLPRlglnkjvzSRzs7xFZHRo7j8hYgCLbL2qu4g+d7mdfe6t89Wbzi%20YxjpjhXl+7Ece1npxisQ7XXLZmgaDLdWgbNA2a/NMs7GjJwtLwzcEoMmaqwh3i5EzYqDlhvu4BDV%20oGgaDx+56Lxa/crSdt1FbsLMx+NDPNTWyVCq8uzyFH4k9rbFyFyIX8TAHXfSpaczET7Evb+YbjRr%2006epeleeK2mIz7JfK/J/8YuhWRO0+3/Y2fFO9qowrNHPO8LMUkB3kLmxE0mYVnVyAu/7sk6vGy+s%209WY+Hu6119K3PhGecdmOmcYzETETn9qHLtt4514S8yX7k/e/7bWW/wDUPqk8k8cZwX7/AK1UQwqx%20hU+saRIFXMqqTRRl3PpJiNSa+T+WeY1/4d/g634L9vvd8zPZxmtrRWvOuXnxL097jD6Z4V94vt55%20lJHW6XtU/MnRHPWWQ0FkMyM7IqSACVowjZ8TOF23322JrfmPkG82cTbVp4PxRxrzxnhyznh1YmW6%20mrW3J1N1aBs0DZr80yzsaMnC0vDNwSgyZqrCHeLkTNioOWG+7gHjNjVoGgaDLdWgbNA2a/NMs7Gj%20JwtLwzcEoMmaqwh3i5EzYqDlhvu4BDVoGgaDLItD81rs9fK+IJxXtcLNhCXh5o/kBSsfIwjOBYF8%20dwDgcQ1aBoGgyyLQ/Na7PXyviCcV7XCzYQl4eaP5AUrHyMIzgWBfHcA4HENWgaBoMsi0PzWuz18r%204gnFe1ws2EJeHmj+QFKx8jCM4FgXx3AOBxDVoGgaDLGtD81sMlfG+YIBYtcLLnCHm4Y/kFQsnGxk%20OAYlMtyBmMg1aBoGgyxrQ/NbDJXxvmCAWLXCy5wh5uGP5BULJxsZDgGJTLcgZjINWgaBoOV+4nmE%20vi3V0biyUa0du6lSe92cxgrV0eKSTkYqCzEtEqBR+ltzsAdBn+2Xl9jyin3VuTsev7OGr2Xxaljq%20i7VxF8OtNhnJ+Jw8zZEEj9H6NgHZaBoOQ+60Mk/iUUEU8lWWXuehRLUIQyRM3dUwJEEqyRll+ozR%20l/WCNB1VSGSCrDBLPJalijVHtTBBJKygAyOIljjDN9Tgir+oAaBZa0sYNWOOWXkjDLK5jURl1ErB%20lSTdljyZV29zAKSoOQCugaD4d/k9/wCL/wBEeFf7D+oe5T/xD8fDx41v9l7c9/nZfjH4dv07i7/R%20n5XzG55/C0vd785tz7Pcxynn6EbcccV75fbLLWljBqxxyy8kYZZXMaiMuolYMqSbsseTKu3uYBSV%20ByFISVdA0DQSma0JIBBHG8TSEWmdyjJHgxDRqEfNuQIuJK+0lt9xiwV0DQNBKZrQkgEEcbxNIRaZ%203KMkeDENGoR825Ai4kr7SW33GLBXQNB8v85/x1+2/k9YmrQToOyRMYLnWIkMe4D4iWsoEUi5vkxA%20VzsBmBqz+W/Vu921vFb4tO2LzmezlbnHCOHOvHPS030K29Dg7UX+Qf267iaj13ZXPNeuaMWq0lip%20PbR3kUxtHM+7zRFWj3VEsY/RiPcRqL5r5xsdxraEV0J0aZ/NmnZXlHT0xMTjM2t+X1TiKxOFh8n8%20p0tXa619TVpXViMadbWiJzHinMWmvve5WerEZtMxwh7f/uW7Lqv9R5j9v+56DrH/AHcNzF5Mpz6r%20FtZipJ6ort6OT6fh/SO1+j6avDbbnS1b93Lh3+G15547O3mrfzExziYex0/+UP2iv1mmtXrPUyK5%20QVrlWV5GUAHMGqLKYnfb1bf0+n03h7j6L8wpbFa11PTW0Y9Xi6Z+7DKNxSX0Lp/MfEe6stV6bvOv%207O0iGV4KdqGeQRghS5WNmIUFgN/+3Vf3Hl+40a9Wpp3pXlm1ZiM+2G2LxPKXpTNaEkAgjjeJpCLT%20O5RkjwYho1CPm3IEXElfaS2+4xaIyV0DQNBmktOvZQVRw4SwzStlLjPvE0SjjhxOafvTm+YxOI2O%20W6+ZjOGUUtNZtjwxwz2ZnOPtxP2S069YvN7ryfxro+H877al1fyMvj/NsRV+TDbPDlZcschvt9N9%20SdvstbXz8Klr459NZnH2PJtEc5eZ/wCp321/uzpv/wCwq/8AzNSf7Nvf6Or/AAW//GPxK98ISfdP%20wBb0ES+S9MacsUzSWvzCH2yRtEEjG28XuWRj7pFb2+1WGRTR/b9x8X4Xw7/F6erp6bdXTnHVjGcZ%204ZSI0bfCnWx+XFunq7OqYmcevEZ9HDPOHR9b2nW9pSjvdZbhvUZsuG1WkSaJ8WKti6FlOzKQdj9d%20adbRvpWml6zW0dkxifslpiYnk061PTQSZrXyo1WOM1DG5llLkSLICnGqx4FWVlLlmLjHYejZEqFd%20A0Gbsu063q6Ul7s7cNGjDjzWrMiQxJkwVcncqo3ZgBufrrbo6N9W0UpWbWnsiMz9kPJmI5vO6Pyz%20pe9v24eov0+xqVYYJDZp2BY98zzKUfBTEuwhG20jMdzuqgKXw1aW09SdO8TW9cZiYxMZ5ZiW+23v%20XTrqTHgvnpnv6cZx6s8+WeHZL2tYtJoGgkrWvlSK0cYqCNDFKHJkaQl+RWjwCqqqEKsHOW59FxBY%20K6BoGg4rz+33wrRQiL4PWDsa/P3UUSX5YKqwvN8hK8kUqxypbjSPJo3VVYSfoOIW+299r1PuJd2s%20RL2Jjh7WavHVs30WrXHybEUcdcZ77xK3GuUaIwGJXQfv3H7bvuqp9JZ6m5HVSbvOqp30aFZXlrW7%20sVeSNGZgI91kO7YMdvpifcA8byLyvyKDt++v1Lhg67xa311R+sEcLR3RcEMllpnZXmUrFaUQ8bJs%206ktmvpoPd+5f/TtP/jnj/wDzyloOq0ErMMk0YSOeSswkjcyRBCxVHV2jPIsi4yKpRvTLEnEq2zAK%206BoPh3m3/wDof8mPDukk/wBf1nQUn7KxXh9fiWiJZUkneLZ03eKoQrnH1X09/uu/l3/H8l19WPDf%20Vt0RM/tV4RiM8J4TqcuPP8PCNfjqRHc+2WYZJowkc8lZhJG5kiCFiqOrtGeRZFxkVSjemWJOJVtm%20FISVdA0DQSmhkkkgdJ5IVhkLyRoEKzKUZOOTNWYKGYP7CrZKPXHJSFdA0DQSmhkkkgdJ5IVhkLyR%20oEKzKUZOOTNWYKGYP7CrZKPXHJSFdA0DQSmhkkkgdJ5IVhkLyRoEKzKUZOOTNWYKGYP7CrZKPXHJ%20SFdB5HceHeI91ZW13PR9f2dpEEST3KsM8gjBLBA0isQoLE7f9upe38w3GjXp09S9K88VtMRn2Sxm%20kTzh897j/F77RX6yw1aNnqZFcObNO1K8jKARgRaNlMTvv6Lv6fX672Db/WnmFLZtaup6LVjHr8PT%20P34ap29Jc1f/AMcvJ+nYVPAvJrVLqyPkBbt2aKSO8VeJpohUhjQbwlVLfiI3B9NcvzPz/cbvdaOv%20emlMaM8Yx78Tzrbq64xjPTOPDNpmOKyeUbjY6G11tLWjUnU1oxFois9MRxrMeKs+9xtGcW6atv8A%206A/cr/8A653P/wBlr/67Vg/VOy//AItL/L/tqz8C34p/x7T/ANtPZdr/AKfzH7gdz3/WJ+8hp5PH%20jOPRZd7Mt1PRGdfRAfX8X6C/WFNLjtttpaV+/nw7vDWk88dvZyPl5nnMyf8AtC+2v/8AJdz/AB6v%20/wBNp+vd7+DS+y3+s+Vr6WaX/Ejx3k+PB3tlOpMiSNDJDHJa2GOe1gFIwzbEA8PoP0H9Nfv5/vLe%20YxvuqvXWvR04np6ePhnFomfFPVxmfFjsiIWPS8y0K+XTsp0s5t1dfVx6+y0RNZxwiKziYzXPLMtP%20/tC+2v8A/Jdz/Hq//TasH693v4NL7Lf61c+Vr6Xp9L/ix9puv5vl17vccuOHzbTJxY774fEFX8W/%20rll9PTb13jbj623+pjpmunj8Nef8XV92GUbakPT/APbd9l/7d/8A3l7/AOfqL+r/ADL+r/lp/pe/%20L07mOX/GX7XvY3jhuQUC6O3WR2P3DYYkqXdWsbPj6/vd/wBRHptxr+Y7m29jeTqW+PXhE+HERiYx%20FenERiZ7OczPPi72l5zamxnZRp6fwrc+FuqZznMzFozMcMcOURE5h5/Zf4m/a63dksV5ez66F8ca%20daxG0SbKAcTYinl9xGRyc+p9PT01Z9H6531KxExp3nvms5/y2rH3K/O2qy/+2H8o/wCivN+58e5/%20/MPfyc2H+y/3ZqO2GT/iy+vpt677f1n8X/6dvpauPd7Md/vRfnw5Y5drz5fHuzMH/oX916n+ro/d%20fs571f8Ae1YLS2DA8qe5FmDWp142YANvG42/Zb6afqXYX8N9npxWeEzHTnHbjwV493GPXB8G34mK%20fpP8r0tpCO5gmsKwjTsovgLTEcpQuXiaFZGwx/FwZj1C+hOVf1N5sv7jFq6FvkunpmvVPVM8+uPH%20GJziuOqY6YmYjM8LNpaWz/tlotqR85NuqPDblHDoz0zHGM24dPimsWnFW3/0V+8na/6/u/uldpdn%20N/vFbrVnWquPsTjEU1JPVFBbaFfdv9fxGwfqLy7S8Gls62pHKb46vbmt55/vTw7uSs/BvPOx/wC2%20H83/AOtfN+58h4P/AC/38fDn/tf95a9vnin4cfp67+mz9Z/C/wDm2+lpZ97tz3e7FOXHnnn2Hy+f%20emZaut/xN+11S7HYsS9n2MKZZU7NiNYn3UgZGvFBL7Schi49R6+nprVrfXO+vWYiNOk98VnP+a1o%20+57G2q8Cj1nUfbb/ACH6Dx3pJhT6Pu+vkNhLLq2zTtY4q8cjgHYzVoQm5Ls3pkctc/R8kjd7TX8x%20vfUvuYv6JrMeDPDpzisTPKYisVjsh3Nz9QamptqbOaacaVMYmItFsxnj72M245zHGZmeb/Q2q65Z%20oGgksMgtSTmeRonjRFqkJxoyFy0ikKJMnzAbJyvtGIByyCugaBoOJ+5dbofg9bV7OsWqdt3NVbVr%205clGOFliY80s6bkK0dfhVPQO7Km65ZaD9+11fxmvB5FD47FtQTuJFaylh7UNiRalZWkilkZ2IQAQ%20uMjtIj/9wD1/MfEY/J6NWpJ2dzrFqW69+OWj8bNpqkgmgy+TDZUqkqK+2Prt67j00Ee18D6vsu7/%20ADSW1aijlatJ2HWxNGKtySi5kqvOGjaXeN9j+7kUOAFfJRtoMn3WqVbniUVO5DHZqWe56GGxXmUP%20HJG/dU1dHRgVZWU7EH66Dpa3U9VV+L8anBB8GA1KPHEicFdsN4YsQMIzwx+xfT2r+oaCNyl00Uck%20k9GORbVutNOErGZpLSvFHXnkWNHYtE0UX71h+7VAxKqm4Cy9T1S0K/XrTgFCpw/FpiJBDF8Vlevx%20x7YrxNGrJsPaQNvpoKtUqtajuNDG1uGN4YrBUGRI5SjSIr7ZBXaJCwH1xH6hoPif2q/8e+/33I8m%20/wB2/LcOl+J+PPFxBzcntx/8s3xxP4/r7fW7+efkeU7XQ59edTPd24x/5Oeezlx4RtPjqWl9hsUu%20mqdZWptRj/Lq0lWKpThrGWOJo5oxVKQxo2CwyBGDBQseOW6hdxSElrapVa1HcaGNrcMbwxWCoMiR%20ylGkRX2yCu0SFgPriP1DQIalWCSeWCGOKW1IJrTooVpZAixB5CB7mEcaJuf2VA+g0El6nqloV+vW%20nAKFTh+LTESCGL4rK9fjj2xXiaNWTYe0gbfTQRv0umfs+suXKMdjsYJJYusuGsZpKzSwsZSswRvj%20rJHHizFlVvRd92UENcNSrBJPLBDHFLakE1p0UK0sgRYg8hA9zCONE3P7KgfQaCS9T1S0K/XrTgFC%20pw/FpiJBDF8Vlevxx7YrxNGrJsPaQNvpoKtUqtajuNDG1uGN4YrBUGRI5SjSIr7ZBXaJCwH1xH6h%20oMk1LpobsEz0Yzbs2zNHYSsXYWhVaHnkkRG42+NGYeVyPbtHv7lUhZep6paFfr1pwChU4fi0xEgh%20i+KyvX449sV4mjVk2HtIG300FWqVWtR3Ghja3DG8MVgqDIkcpRpEV9sgrtEhYD64j9Q0CGpVgknl%20ghjiltSCa06KFaWQIsQeQge5hHGibn9lQPoNB59vp/GxD1PXz9XBLWpzxHp4BUEsNSatE7QyRhUZ%20K3EiFUf2gHZQd2UEPQapVa1HcaGNrcMbwxWCoMiRylGkRX2yCu0SFgPriP1DQIalWCSeWCGOKW1I%20JrTooVpZAixB5CB7mEcaJuf2VA+g0El6nqloV+vWnAKFTh+LTESCGL4rK9fjj2xXiaNWTYe0gbfT%20QRv0umfs+suXKMdjsYJJYusuGsZpKzSwsZSswRvjrJHHizFlVvRd92UENcNSrBJPLBDHFLakE1p0%20UK0sgRYg8hA9zCONE3P7KgfQaCS9T1S0K/XrTgFCpw/FpiJBDF8Vlevxx7YrxNGrJsPaQNvpoKtU%20qtajuNDG1uGN4YrBUGRI5SjSIr7ZBXaJCwH1xH6hoMi0umg7kTpRjTtLMc0rXUrHIrtXilEllUxD%20OsUAxZ8nWMbAiP2hZep6paFfr1pwChU4fi0xEghi+KyvX449sV4mjVk2HtIG300FWqVWtR3Ghja3%20DG8MVgqDIkcpRpEV9sgrtEhYD64j9Q0CGpVgknlghjiltSCa06KFaWQIsQeQge5hHGibn9lQPoNB%20579P42JuvoHq4D8OAjrQKgMNeGtLXdY45AnFDjLFA6JuCTGGUHj3UPQapVa1HcaGNrcMbwxWCoMi%20RylGkRX2yCu0SFgPriP1DQIalWCSeWCGOKW1IJrTooVpZAixB5CB7mEcaJuf2VA+g0El6nqloV+v%20WnAKFTh+LTESCGL4rK9fjj2xXiaNWTYe0gbfTQJFofmtdnr5XxBOK9rhZsIS8PNH8gKVj5GEZwLA%20vjuAcDiFYalWCSeWCGOKW1IJrTooVpZAixB5CB7mEcaJuf2VA+g0El6nqloV+vWnAKFTh+LTESCG%20L4rK9fjj2xXiaNWTYe0gbfTQVapVa1HcaGNrcMbwxWCoMiRylGkRX2yCu0SFgPriP1DQf5//AMna%20HX9H2HjvnXV1YIe+6rsq8lp2psq3GdTJWM1pePl4fy0pxhiyq4/ACuV5+iZrq219taPDq6fGY5xE%20eHu/f+7lKNueGJ7pfdqlPobPT0oacFWbpkSvL10cKRvVEcBSWq8AUGMLGURoiv02BX9GqRelqWmt%20oxaOExPOJSYlqapVa1HcaGNrcMbwxWCoMiRylGkRX2yCu0SFgPriP1DWIQ1KsEk8sEMcUtqQTWnR%20QrSyBFiDyED3MI40Tc/sqB9BoPPh6fxtZjQi6uBPiwUgoFQLCsNWV3pRxyYCI/GlRnRFO8RIbZcl%20JD0GqVWtR3Ghja3DG8MVgqDIkcpRpEV9sgrtEhYD64j9Q0CGpVgknlghjiltSCa06KFaWQIsQeQg%20e5hHGibn9lQPoNBXQc55ye6Wl179fDJapJeibvKsEUM08tHCTKOOOcFGym4uT9rjzw922geEP3El%20TsJL1KTraLXXPR0Z1iSaOlxRDaRYiyrlY5mRd9whUHY+gDo9A0HIfdazHV8SitSiRooO56GV1hje%20aQqndU2ISKJXkdvT0VFLH6Ab6DqqlmO1VhtRCRYp41lRZo3hkCuAwDxSqkiN6+quoYfQjfQLLWlj%20Bqxxyy8kYZZXMaiMuolYMqSbsseTKu3uYBSVByAV0E7VqtUrTWrUyV6tdGlnnlYJHHGgyZ3Ztgqq%20BuSdZUpa9orWM2nhERzmSZfF/wDFerZteLd95V2ML/m/kPbSy2bzqY1sxxqGDogxixE8043Rfruv%207OwuX1tetdfT0KT+XpacRFfwzPf2+7FefZx7UbbRwme+X2ey1pYwasccsvJGGWVzGojLqJWDKkm7%20LHkyrt7mAUlQchS0lXQNA0EpmtCSAQRxvE0hFpncoyR4MQ0ahHzbkCLiSvtJbfcYsFdA0DQSma0J%20IBBHG8TSEWmdyjJHgxDRqEfNuQIuJK+0lt9xiwV0DQNBKZrQkgEEcbxNIRaZ3KMkeDENGoR825Ai%204kr7SW33GLBXQNA0EpmtCSAQRxvE0hFpncoyR4MQ0ahHzbkCLiSvtJbfcYsFdA0DQSZrXyo1WOM1%20DG5llLkSLICnGqx4FWVlLlmLjHYejZEqFdA0DQSZrXyo1WOM1DG5llLkSLICnGqx4FWVlLlmLjHY%20ejZEqFdA0DQSZrXyo1WOM1DG5llLkSLICnGqx4FWVlLlmLjHYejZEqFdA0DQfPfvt1Xadv8Aa3yq%20lCsEcEVKK7HO8j5t8Of5VhDGIyF2igXjOZyZiCEAybvfTG4rpeYaVrdtun22iax988fQ1a0ZpLV9%20j+6/OPtN4xb4eDipLSwyz3+CzVM99l/HwZbfo329frrD6k2/wd/rVznNur+PxfdnD3RnNIdxriNh%20oJK1r5UitHGKgjQxShyZGkJfkVo8AqqqhCrBzlufRcQWCugaBoOL+6VW/d67qeup9tN0/wA7sDBY%20s15pashjanZb0sRK3GY2VZhkVVygjyGeg/j7T0ewpdR2le/Ok1pexbkUdpP3Esf+lr+2axYOasfx%20pHsMY2Tf3Ekh2+g8Lu/OPGOk7KHreytPFbmETEJXsTRxJYl4IXsSxRvHXSSUFVeZlUkH19DoMX3L%20/wCnaf8Axzx//nlLQdVoJWYZJowkc8lZhJG5kiCFiqOrtGeRZFxkVSjemWJOJVtmAV0HD/fDuvyf%207TeT2+Hn5aTUsMsNvnMtTPfZvwc+W36dtvT667f03t/jb/RrnGLdX8Hi+/GGvWnFJPsf0v5P9pvG%20KnNz8tJbueOG3zma3htu34OfHf8ATtv6fTT6k3Hxt/rWxjFun+Dw/fjJoxikOzswyTRhI55KzCSN%20zJEELFUdXaM8iyLjIqlG9MsScSrbMOI2K6BoGglNDJJJA6TyQrDIXkjQIVmUoyccmaswUMwf2FWy%20UeuOSkK6BoGglNDJJJA6TyQrDIXkjQIVmUoyccmaswUMwf2FWyUeuOSkK6BoGglNDJJJA6TyQrDI%20XkjQIVmUoyccmaswUMwf2FWyUeuOSkK6BoGglNDJJJA6TyQrDIXkjQIVmUoyccmaswUMwf2FWyUe%20uOSkK6BoGgk0MhtRzieRYkjdGqgJxuzlCsjEqZMkwIXFwvuOQJxxCugaBoJNDIbUc4nkWJI3RqoC%20cbs5QrIxKmTJMCFxcL7jkCccQroGgaCTQyG1HOJ5FiSN0aqAnG7OUKyMSpkyTAhcXC+45AnHEK6B%20oGgy2Ovism1Hbb5VG3AK8vXTJE9fH3iQkFMm5VkCursV2UbAe7LKl7UtFqzi0cYmOcSTD4p/ihNJ%20Q6PyjxO5A8Hb9J2zPfQlGjVpYxXwV0ZsmV6T5ben02J/Rd/rmsX1dHcVnOnqafh554T1Z+y8enmj%20bbhEx3S+66oySaCSwyC1JOZ5GieNEWqQnGjIXLSKQokyfMBsnK+0YgHLIK6BoGg4L7o9B5R3z9R1%209Houn73pFtLZ7CDt55IlV4YpjGSqQz5Jyce+wJP4SuDMyh6H248Vs+O9f2cdjquq6U375uJ1/SNI%201VF+NBBv+8jrgOxgJbCJV/7zuSHW6D5T9yavZP5jDLU6u1M7V+vjiSKvYs0u147zytTvSwLhTWq2%20MscsjKpzYNnHmjB7n3e7O7T6Hrkr9Tb7JZO56V3kqtVVY2h7im6Rv8ieu2U7eyPEFQ34yi+7QdhW%20u2Zvi8lCev8AIgM03I0B+O4w/cS8cr7yHNvWPNPY3u/DkEbktWaOROxoSPXht1lgziFlZJM4nhsR%20xxczqsU7D3uq4Mhc7IA+gst2yaFeyaE6zTcPJRLQc0PKyq/IRLxHhDFnwkbcKcMzsCHxj/LLsLx8%20O6boKCzyW+57JFFeu65TrCjbQmAPzS5TSRsuMbKGUZFWKZXT6GpWN1fUtHg09OZ6p5VnMdvZ4er2%20Z7Mo25nw49L7P18cUETUq9L4VOlhXqIoiWJoliQqYUjZsI0y48WVTup2GOJNNve17Ta05tPGZnnM%20pMQydjbhfqKlm/1M9jmnok9aYorE0E0tmIRySKjyRf6SVhK7o7BAhdSdhrEeg00gtRwCCRonjd2t%20ApxoyFAsbAsJMnzJXFCvtORBxyBDNJJJOjwSQrDIEjkcoVmUor8keDMwUMxT3hWyU+mOLEJLdsmh%20XsmhOs03DyUS0HNDysqvyES8R4QxZ8JG3CnDM7AhG/LV/M+shsUJLDNJLJUvCISx1rCQsvuYbvC0%20kMkqrJjj9ULBnRXDXDNJJJOjwSQrDIEjkcoVmUor8keDMwUMxT3hWyU+mOLEJLdsmhXsmhOs03Dy%20US0HNDysqvyES8R4QxZ8JG3CnDM7AhVppBajgEEjRPG7taBTjRkKBY2BYSZPmSuKFfaciDjkGSaW%20rLdgW5Qk5YLZXrbDxCZeQ1WZrEbx8vAvG8sOcvHu26fR0zCy3bJoV7JoTrNNw8lEtBzQ8rKr8hEv%20EeEMWfCRtwpwzOwIVaaQWo4BBI0Txu7WgU40ZCgWNgWEmT5krihX2nIg45AhmkkknR4JIVhkCRyO%20UKzKUV+SPBmYKGYp7wrZKfTHFiHn27cLQ9TatdTPLdlniNasYoppqc00TrJJJIrvDDwwvKHcS7Eb%20ohdnVXD0GmkFqOAQSNE8bu1oFONGQoFjYFhJk+ZK4oV9pyIOOQIZpJJJ0eCSFYZAkcjlCsylFfkj%20wZmChmKe8K2Sn0xxYhJbtk0K9k0J1mm4eSiWg5oeVlV+QiXiPCGLPhI24U4ZnYEI35av5n1kNihJ%20YZpJZKl4RCWOtYSFl9zDd4WkhklVZMcfqhYM6K4a4ZpJJJ0eCSFYZAkcjlCsylFfkjwZmChmKe8K%202Sn0xxYhJbtk0K9k0J1mm4eSiWg5oeVlV+QiXiPCGLPhI24U4ZnYEKtNILUcAgkaJ43drQKcaMhQ%20LGwLCTJ8yVxQr7TkQccgyLLVk7kCahJHegjmjp3niDq1ciu83HOmfGryMi8chRnaMsFZUy0Flu2T%20Qr2TQnWabh5KJaDmh5WVX5CJeI8IYs+EjbhThmdgQq00gtRwCCRonjd2tApxoyFAsbAsJMnzJXFC%20vtORBxyBDNJJJOjwSQrDIEjkcoVmUor8keDMwUMxT3hWyU+mOLEPPe3CZuvtydTOe2lgIjjMUTTV%20oZpa4sxyWQ5rpgSjuizEyCMmMSYaD0GmkFqOAQSNE8bu1oFONGQoFjYFhJk+ZK4oV9pyIOOQIZpJ%20JJ0eCSFYZAkcjlCsylFfkjwZmChmKe8K2Sn0xxYhJbtk0K9k0J1mm4eSiWg5oeVlV+QiXiPCGLPh%20I24U4ZnYEIzy1R39KJqEkltqlpou0EQaOGNZK4krtP8AiRp2ZHVB+PjJ/YGg1wzSSSTo8EkKwyBI%205HKFZlKK/JHgzMFDMU94VslPpjixCS3bJoV7JoTrNNw8lEtBzQ8rKr8hEvEeEMWfCRtwpwzOwIVa%20aQWo4BBI0Txu7WgU40ZCgWNgWEmT5krihX2nIg45BkqS1ZO57AChJXvRR145LzxALZr7O8XHOuWa%20xyPKvGxDI27YhXRnD4V41as+J/5LdlU/K7tWp5rSjt1urSaCQiebCexYsg2GiHBJFb3xdiPURBlZ%20d73u5+b8i09TMTfb26Z4cYj3YrHDutp578cZ6oRa+HVmO9/oBppBajgEEjRPG7taBTjRkKBY2BYS%20ZPmSuKFfaciDjlREohmkkknR4JIVhkCRyOUKzKUV+SPBmYKGYp7wrZKfTHFiHnw24TMbadTPH208%20FIXIzFEsyQyyuEjks5/Hk+KXld0jmcqNyoOaZh6DTSC1HAIJGieN3a0CnGjIUCxsCwkyfMlcUK+0%205EHHIEM0kkk6PBJCsMgSORyhWZSivyR4MzBQzFPeFbJT6Y4sQroOK+7o86Phs/8ARjTL2gLl/iCE%202Sgry8Qh5/3f+88PJ+1x54+7bQej4Pf7rsa3Z3uxhlrVp+wlPVVLLRtZhrLHGjJPxNIqt8lZiq5E%20qhUHYjYB0mgaDlfuX/07T/454/8A88paDqtBKy1pYwasccsvJGGWVzGojLqJWDKkm7LHkyrt7mAU%20lQcgFdB8O+6v/j33++2/jP8Au35bn3Xy/wAeeLmfh4/bj/5Ztlkfx/T2+t38j/I8p3Wvz68aeO7s%20zn/ycsdnPjwjanHUrD7jqkJKVlrSxg1Y45ZeSMMsrmNRGXUSsGVJN2WPJlXb3MApKg5AK6BoGglM%201oSQCCON4mkItM7lGSPBiGjUI+bcgRcSV9pLb7jFgroGgaCUzWhJAII43iaQi0zuUZI8GIaNQj5t%20yBFxJX2ktvuMWCugaBoJTNaEkAgjjeJpCLTO5RkjwYho1CPm3IEXElfaS2+4xYK6BoGglM1oSQCC%20ON4mkItM7lGSPBiGjUI+bcgRcSV9pLb7jFgroGgaCTNa+VGqxxmoY3MspciRZAU41WPAqyspcsxc%20Y7D0bIlQroGgaCTNa+VGqxxmoY3MspciRZAU41WPAqyspcsxcY7D0bIlQroGgaCTNa+VGqxxmoY3%20MspciRZAU41WPAqyspcsxcY7D0bIlQroGgaCSta+VIrRxioI0MUocmRpCX5FaPAKqqoQqwc5bn0X%20EFg+Fffp/wCl/uj9v/PllmrV45vy7trnHywRVVkBZdgjnklgs2P1sQvsAK76vf0xHzOx3O0xEzjq%20rGcTNsevlFq09HHxcJRdbw2iz71qiJRoJK1r5UitHGKgjQxShyZGkJfkVo8AqqqhCrBzlufRcQWC%20ugaBoOE83+3cHZdgne0K3zOx5oGv0JbU1eKzXhjkj40ZMhE+8iPvj7+MIxCknQbvtt45e6Lqb8Nq%20lX6yO52E1yp1laRpxXikVAVeZgM5HkR5WI9Blt+jQdboGg4r7uR9rJ4tSHW2IK03550W72YHsL69%20vVEftSaufbKUZvd6qCvtLB1DsKi2lqwrckjmtrGosSwoYo3kAGbJGzysilvUKXbb9Z+ugWYZJowk%20c8lZhJG5kiCFiqOrtGeRZFxkVSjemWJOJVtmAV0Hw7wn/wD0P+THmPdx/wCv6zoKSdbXsTevxLRE%20UTxwJLs6bvFbBZBj6t6+/wB138x/4/kuhpT4b6tuuYj9qvGczjhPCdPnx5fh4RqcdSZ7n3HVISUr%20MMk0YSOeSswkjcyRBCxVHV2jPIsi4yKpRvTLEnEq2zAK6BoGglNDJJJA6TyQrDIXkjQIVmUoyccm%20aswUMwf2FWyUeuOSkK6BoGglNDJJJA6TyQrDIXkjQIVmUoyccmaswUMwf2FWyUeuOSkK6BoGglND%20JJJA6TyQrDIXkjQIVmUoyccmaswUMwf2FWyUeuOSkK6BoGglNDJJJA6TyQrDIXkjQIVmUoyccmas%20wUMwf2FWyUeuOSkK6BoGgk0MhtRzieRYkjdGqgJxuzlCsjEqZMkwIXFwvuOQJxxCugaBoJNDIbUc%204nkWJI3RqoCcbs5QrIxKmTJMCFxcL7jkCccQroGgaCTQyG1HOJ5FiSN0aqAnG7OUKyMSpkyTAhcX%20C+45AnHEK6BoGgksMgtSTmeRonjRFqkJxoyFy0ikKJMnzAbJyvtGIByyD5N/lP0v5h9prFvm4vye%207Vu4Y5cubGphvuMf96y39fw7fp3Fu+idx8PfxXGfiVtX1ftf9uPa0bmM0fQvBvIf6j8N6XvWeF5u%20xpQT2fjHeJZ2Qc8a+5yOOXJCpYkEbH11X/Mtp8vudTS44paYjPPGeE+2MT6W2lsxEvc1BZJLDILU%20k5nkaJ40RapCcaMhctIpCiTJ8wGycr7RiAcsgroGgaDl/uF3HlvV9VUPi9SG12Vu0K2dmKaaCENB%20K8byJAyPi86Rw5ZBUzyb0B0Gf7Y+Rd733T3rfcyLLPFdaGF46FnrY+NYIWxSK08srYyO6u5O2YZR%206LuQ7DQcD5t9yT1HkdXoKk0FHZYZu17m7Wt2q1VLMhiroUrcagyuCGkmmjjiGxJbILoPU+5f/TtP%20/jnj/wDzyloOq0GXs1oNWQXq/wAmHnrlI+FrG0wnQwSYKrkccuL57bR7ZkqF3AatB8O/xh/8X/rf%20zX/Yf1D3L/8Ah/4+Hjys/wC19ue/zsfwD8O/6dhd/rP8r5fbc/haXvd+cV5dnuZ5zz9CNt+Obd8v%20uOqQksvZrQasgvV/kw89cpHwtY2mE6GCTBVcjjlxfPbaPbMlQu4DVoGgaDLdWgbNA2a/NMs7GjJw%20tLwzcEoMmaqwh3i5EzYqDlhvu4BDVoGgaDLdWgbNA2a/NMs7GjJwtLwzcEoMmaqwh3i5EzYqDlhv%20u4BDVoGgaDLdWgbNA2a/NMs7GjJwtLwzcEoMmaqwh3i5EzYqDlhvu4BDVoGgaDLdWgbNA2a/NMs7%20GjJwtLwzcEoMmaqwh3i5EzYqDlhvu4BDVoGgaDLItD81rs9fK+IJxXtcLNhCXh5o/kBSsfIwjOBY%20F8dwDgcQ1aBoGgyyLQ/Na7PXyviCcV7XCzYQl4eaP5AUrHyMIzgWBfHcA4HENWgaBoMsi0PzWuz1%208r4gnFe1ws2EJeHmj+QFKx8jCM4FgXx3AOBxDVoGgaDLGtD81sMlfG+YIBYtcLLnCHm4Y/kFQsnG%20xkOAYlMtyBmMgz+T9L+eeNdt0nN8f80pWKXyMc+P5ETRZ4brljlvtuN9SdluPga1NXGei1bY78Tl%205aMxMPl3+KfcWb/2qFWZUWPqews06xQEM0bhLRL7k7tnZYem3pt/3mz/AFxt603/AFR/MpW0+vjX%20h7Kx7WjbTmr7HqnpDLGtD81sMlfG+YIBYtcLLnCHm4Y/kFQsnGxkOAYlMtyBmMg1aBoGg4j7oULV%204+LV63ZzdQx7ndrtdzG67dddwO5SSIgSYsUl9j7Y/VgCFPtpB28R8mftLVK1PN2/Ir9dJnAF/L6a%20luPJzA8rq0rREnYvvuwIYh2eg43yb7fTdz2HYPD2S1Or76tDT8hotAZXnigL4mvMJY+B3jkaNyyS%20ArtsFIJIfx93Osrdh4tShnedEHedFsa1ieq37zt6sLe+u8TfhlJX19rbONmVSA6ut1lav8Xjedvh%20wGtDyWJ5ckOHrLyO3NJ+6X95Jk/4vd7m3A8E1fmlpJzTWZ4pJksTyhFX93FIY9xMExiTJY0VVZ/r%20iXZ9Byn3Ts0+i+1HeSG7aprS68x0bkdm18pbIAjpk2Ec2GZp+MMzuctzmSpbXU8k206+90qY6s3j%20MTjHTHG3P92J4drDUnFZl5H+PfjX5V9rfHZp6/xb08FizII5NklS7PyxTSpG3HJIa6QhWcF0X2jH%20dhqd9V7mNXzDUmJ6q1xWOfDpiItEZ/e6vRnj2sNCMUh9HhrRwyTyIZC1mQSyB5HdQwRY9o1dmWNc%20Yx7UAXLdtsmYmutzJY65o+srUqgklWtJVC81uwkhjgmjLM9gcs0rBEJKuTy/gkOLMdBratG1qO0T%20JyxRvEqiRxGVkKMxaINxsw4xizKWX1CkBm3BDWjhknkQyFrMglkDyO6hgix7Rq7Msa4xj2oAuW7b%20ZMxISXrKy0K9EPPw1uHjc2JzMfjsrJyTl+WTcoM82PINw+QY7gsQTG/TswpnhyQz5TyxqkMi5l1g%20UNFNJyxRqM9iqlyrfVXCsNaOGSeRDIWsyCWQPI7qGCLHtGrsyxrjGPagC5bttkzEhJesrLQr0Q8/%20DW4eNzYnMx+OysnJOX5ZNygzzY8g3D5BjuFWrRtajtEycsUbxKokcRlZCjMWiDcbMOMYsyll9QpA%20ZtwlwTQWc6yciW5+S8Zp5TxqIMAYI2Eq/iijBjXBfVn/ABbhwL1lZaFeiHn4a3DxubE5mPx2Vk5J%20y/LJuUGebHkG4fIMdwq1aNrUdomTlijeJVEjiMrIUZi0QbjZhxjFmUsvqFIDNuCGtHDJPIhkLWZB%20LIHkd1DBFj2jV2ZY1xjHtQBct22yZiQyS9cyVaFCASSVIJIhLLJbsLYWOuM425ffLYZpY41kWSQZ%20qWzLequGtq0bWo7RMnLFG8SqJHEZWQozFog3GzDjGLMpZfUKQGbcENaOGSeRDIWsyCWQPI7qGCLH%20tGrsyxrjGPagC5bttkzEhJesrLQr0Q8/DW4eNzYnMx+OysnJOX5ZNygzzY8g3D5BjuCxBMb9OzCm%20eHJDPlPLGqQyLmXWBQ0U0nLFGoz2KqXKt9VcKw1o4ZJ5EMhazIJZA8juoYIse0auzLGuMY9qALlu%2022TMSEl6ystCvRDz8Nbh43NiczH47Kyck5flk3KDPNjyDcPkGO4VatG1qO0TJyxRvEqiRxGVkKMx%20aINxsw4xizKWX1CkBm3CUcE0N92iTKtazmsyyTysyTKsUcaQwsHRY2RGLYsoDDfFi7MAL1lZaFei%20Hn4a3DxubE5mPx2Vk5Jy/LJuUGebHkG4fIMdwq1aNrUdomTlijeJVEjiMrIUZi0QbjZhxjFmUsvq%20FIDNuCGtHDJPIhkLWZBLIHkd1DBFj2jV2ZY1xjHtQBct22yZiQyHrmWOn16CQ9dXjQmw1ux8oSVn%20iaBWf1kmV8W5Wkl922LBw7bBratG1qO0TJyxRvEqiRxGVkKMxaINxsw4xizKWX1CkBm3BDWjhknk%20QyFrMglkDyO6hgix7Rq7Msa4xj2oAuW7bZMxISXrKy0K9EPPw1uHjc2JzMfjsrJyTl+WTcoM82PI%20Nw+QY7gkgmbta84TeGOCeN5OeVdmd4So+MBxSbhG/eMco9tl3Ej7BWGtHDJPIhkLWZBLIHkd1DBF%20j2jV2ZY1xjHtQBct22yZiQkvWVloV6IefhrcPG5sTmY/HZWTknL8sm5QZ5seQbh8gx3CrVo2tR2i%20ZOWKN4lUSOIyshRmLRBuNmHGMWZSy+oUgM24SrwTRX7jYf6axxzCVp5ZWM2PHIiwuMIY1SKMjjbZ%20mZyVB3ZwL1lZaFeiHn4a3DxubE5mPx2Vk5Jy/LJuUGebHkG4fIMdw+FfZrro/Gvv39wPGhXSMSxm%20/U+LK8daGs0yTRQ/GASJmEd1AG2/d4sqe1zq9/UN/mfK9ruMzmvgnPOZxibZz36c+vOeCLpcL2h9%206hrRwyTyIZC1mQSyB5HdQwRY9o1dmWNcYx7UAXLdtsmYmiJTJH1zCOPr2Eg66rHVNWx8uw1p5IHL%20FZnP7xlHHHkzSvy5Osg2/GGtq0bWo7RMnLFG8SqJHEZWQozFog3GzDjGLMpZfUKQGbcENaOGSeRD%20IWsyCWQPI7qGCLHtGrsyxrjGPagC5bttkzEhXQfN/v8AJZbwF3g6aDuTBP8AJMVqrJejiavBNNC5%20rRENJyTpHB67qokycFFYaD0vtXT6evR7yXo+oTqOkt9q8/Wqld6S2Ivi14zOKzBONeSNo1xRQ6oH%202JYsQ7bQNBxX3c7bqus8WpT9lcgowt3nRbS2ZUiU8Xb1Z5Pc5UeyKJ5G/Uqk/QHQdhUt1blWG5Tm%20js1LMazV7ELB45I3AZHR1JVlZTuCProFmGSaMJHPJWYSRuZIghYqjq7RnkWRcZFUo3pliTiVbZgH%20yb/Kfuvy/wC01ipw8v5xdq0s8seLBjbz22OX+647en4t/wBGxt30Tt/ib+LZx8Otrev9n/uz7Gjc%20zij6Z4x0v5H411PSc3yPyulXpfIxw5PjxLFnhu2OWO+2521Wt7uPj619XGOu1rY7szlurGIiHpaj%20PUrMMk0YSOeSswkjcyRBCxVHV2jPIsi4yKpRvTLEnEq2zAK6BoGglNDJJJA6TyQrDIXkjQIVmUoy%20ccmaswUMwf2FWyUeuOSkK6BoGglNDJJJA6TyQrDIXkjQIVmUoyccmaswUMwf2FWyUeuOSkK6BoGg%20lNDJJJA6TyQrDIXkjQIVmUoyccmaswUMwf2FWyUeuOSkK6BoGglNDJJJA6TyQrDIXkjQIVmUoycc%20maswUMwf2FWyUeuOSkK6BoGgk0MhtRzieRYkjdGqgJxuzlCsjEqZMkwIXFwvuOQJxxCugaBoJNDI%20bUc4nkWJI3RqoCcbs5QrIxKmTJMCFxcL7jkCccQroGgaCTQyG1HOJ5FiSN0aqAnG7OUKyMSpkyTA%20hcXC+45AnHEK6BoGgksMgtSTmeRonjRFqkJxoyFy0ikKJMnzAbJyvtGIByyCug+C+cp/Sf8Akx4n%205CsU0PX+UQjrrkkEm/ybTA1AskZcfu4+SozemPtyALg6vfls/NeS62jmJvoz1RmPdr73Ccc5xqR3%208cTiJRb+HUie9961REpJYZBaknM8jRPGiLVITjRkLlpFIUSZPmA2TlfaMQDlkFdA0DQcV9wezsSx%20U6XSnsr/AGEHYRp2FDoZq0dlEepPKotSWHRK8R2VgWIybBR+LQW+2XX93R6W9H21S5SMvYT2KkHY%202ortoRTBJGMkkDSRD9+0mKqx2Xb6E7AOv0ErNupVVGszRwLJIkMZkYIGkkOKIuRG7Mx2A/ToOa+5%20f/TtP/jnj/8AzyloOq0GXs1oNWQXq/yYeeuUj4WsbTCdDBJgquRxy4vnttHtmSoXcB8Y++X/AI99%200ftt4hB/rP8AWnsu16mT/YPVSRDySrJtDJtDXsjH1bbIbe4b3f6a/I2O63E+Hw9FbdsWxPCMcY42%20p6OU9nCNrcbVh9x1SEk0GXs1oNWQXq/yYeeuUj4WsbTCdDBJgquRxy4vnttHtmSoXcBq0DQNBlur%20QNmgbNfmmWdjRk4Wl4ZuCUGTNVYQ7xciZsVByw33cAhq0DQNBlurQNmgbNfmmWdjRk4Wl4ZuCUGT%20NVYQ7xciZsVByw33cAhq0DQNBlurQNmgbNfmmWdjRk4Wl4ZuCUGTNVYQ7xciZsVByw33cAhq0DQN%20BlurQNmgbNfmmWdjRk4Wl4ZuCUGTNVYQ7xciZsVByw33cAhq0DQNBlkWh+a12evlfEE4r2uFmwhL%20w80fyApWPkYRnAsC+O4BwOIatA0DQZZFofmtdnr5XxBOK9rhZsIS8PNH8gKVj5GEZwLAvjuAcDiG%20rQNA0GWRaH5rXZ6+V8QTiva4WbCEvDzR/IClY+RhGcCwL47gHA4hq0DQNBljWh+a2GSvjfMEAsWu%20FlzhDzcMfyCoWTjYyHAMSmW5AzGQatB8O/yqoXa3QeO+YdaZl7Pxvs1aCaNFkihWcBxNKrI49s9a%20FVLe3dtiDuNXf6I1a21dXb3x0a2nx7JnHDEcfw2tM9vDPYjbmOETHY+0dX2VLtOtqdnRk5qN6GOz%20VmxZc4pkDo2LBWG6sDsRvqm62jbSval4xaszE+uOEpETmMvyNaH5rYZK+N8wQCxa4WXOEPNwx/IK%20hZONjIcAxKZbkDMZanrVoGgaD5P5H4P9we07byWKjX6yLqL3d9f2tWxcnnWeUVKdCOVAtdXAil+L%20JC2RDbFvTbEkO38OfzZl7b+rI6sc4vbdYKLZwGn8WA7qWCyb8/LvyAHf6e3E6DodB8q+617vF7rp%203fx+9d6+h23Vv1s9eSgIZJ2nUyHae1DKJSP3Ue8YUe7d9m9odB93Ltmp4tSkgoT9g57zot4azQKw%20w7erIv8AvEsC+9kEa+78TDfZcmUOrrXbM3xeShPX+RAZpuRoD8dxh+4l45X3kObeseaexvd+HID2%20L7cywU9ninijVrEixpLC3G0s0Zj529iu4VXVSzpt7VIfQfDqV2z3/wDlHLZuUJ4pvGemr/CoxNAJ%20l+WsKy/KJleJ+AdrMz8Un0QYZn0e76n5HkFen+fq+LPZiZ5f+uvPPb7I0cdX1Q+7NNILUcAgkaJ4%203drQKcaMhQLGwLCTJ8yVxQr7TkQccqQkkM0kkk6PBJCsMgSORyhWZSivyR4MzBQzFPeFbJT6Y4sQ%20yWL/AGY6ytardZI9uaSqJuvmlhjkhjnmjSwzurSxM1aJ3kKozZ44qfUHQa2mkFqOAQSNE8bu1oFO%20NGQoFjYFhJk+ZK4oV9pyIOOQIZpJJJ0eCSFYZAkcjlCsylFfkjwZmChmKe8K2Sn0xxYhJbtk0K9k%200J1mm4eSiWg5oeVlV+QiXiPCGLPhI24U4ZnYEFixfS/Tggp8taXka5caRUWFUX2Kqe55JJHYbDYK%20FDkuCERwrDNJJJOjwSQrDIEjkcoVmUor8keDMwUMxT3hWyU+mOLEJLdsmhXsmhOs03DyUS0HNDys%20qvyES8R4QxZ8JG3CnDM7AhVppBajgEEjRPG7taBTjRkKBY2BYSZPmSuKFfaciDjkEvkX3s8cdPCG%20OfjmmmkVcoeDk5oFj5S/71liKycZ9Gb1AXMC3bJoV7JoTrNNw8lEtBzQ8rKr8hEvEeEMWfCRtwpw%20zOwIVaaQWo4BBI0Txu7WgU40ZCgWNgWEmT5krihX2nIg45AhmkkknR4JIVhkCRyOUKzKUV+SPBmY%20KGYp7wrZKfTHFiGSW/2fxaFiHrJGaxJEL1SSWFLFaOUbM3taSGRoXK8irL+HIoXYKjhraaQWo4BB%20I0Txu7WgU40ZCgWNgWEmT5krihX2nIg45AhmkkknR4JIVhkCRyOUKzKUV+SPBmYKGYp7wrZKfTHF%20iElu2TQr2TQnWabh5KJaDmh5WVX5CJeI8IYs+EjbhThmdgQWLF9L9OCCny1peRrlxpFRYVRfYqp7%20nkkkdhsNgoUOS4IRHCsM0kkk6PBJCsMgSORyhWZSivyR4MzBQzFPeFbJT6Y4sQkt2yaFeyaE6zTc%20PJRLQc0PKyq/IRLxHhDFnwkbcKcMzsCFWmkFqOAQSNE8bu1oFONGQoFjYFhJk+ZK4oV9pyIOOQSj%20sX3vvF8PipRZqbMki5SNjE0bQxpnvGc5FYyMjKyeiMrBtAW7ZNCvZNCdZpuHkoloOaHlZVfkIl4j%20whiz4SNuFOGZ2BCrTSC1HAIJGieN3a0CnGjIUCxsCwkyfMlcUK+05EHHIEM0kkk6PBJCsMgSORyh%20WZSivyR4MzBQzFPeFbJT6Y4sQyG/2Zjpzr1knFPGhtV2lhFqvJI8ShWQM0DrGjyNKyznbDaMSFvQ%20NbTSC1HAIJGieN3a0CnGjIUCxsCwkyfMlcUK+05EHHIEM0kkk6PBJCsMgSORyhWZSivyR4MzBQzF%20PeFbJT6Y4sQkt2yaFeyaE6zTcPJRLQc0PKyq/IRLxHhDFnwkbcKcMzsCCSxfXta9ZKedCSCeSxf5%20FHFNG8Kww8R9zcqySNkPRcNj+IaCsM0kkk6PBJCsMgSORyhWZSivyR4MzBQzFPeFbJT6Y4sQkt2y%20aFeyaE6zTcPJRLQc0PKyq/IRLxHhDFnwkbcKcMzsCFWmkFqOAQSNE8bu1oFONGQoFjYFhJk+ZK4o%20V9pyIOOQSr2L8l+5FLT4KUHGtay0is07MuUjLGu+EabqoLNkzZ+wKFZwLdsmhXsmhOs03DyUS0HN%20DysqvyES8R4QxZ8JG3CnDM7AhyH3p66Ltftp5J11iKcVh1lm+bcTRBEl6/CzDE+RL/vXT9lCMVbd%20lOO/Z+ntxbS3+javbeK+y3hn7p4elr1YzWXmf45+RWO7+03UGy3JY63k65n3g9UrttCMYWYphAyJ%20tIqudstiGV2k/Ve2jS8w1IiOmtsWjnx6oibTGf3ur0Z4djHQnNId5Hf7No4536yRIpY6pFflhNqO%20SZys6zJlwBa6FWZo53y94UEhc663NbTSC1HAIJGieN3a0CnGjIUCxsCwkyfMlcUK+05EHHIEM0kk%20k6PBJCsMgSORyhWZSivyR4MzBQzFPeFbJT6Y4sQroGgaBoGg5X7l/wDTtP8A454//wA8paDqtBKz%20DJNGEjnkrMJI3MkQQsVR1dozyLIuMiqUb0yxJxKtswD4n/j3/wCN+ZfcXzQf62j2PZ/F6ftZfWUw%20RvJIYV5P30cYhet7SANgo/Z2F3+q/wAnbbXbe7amnm9Y5ZmIjPDwzPV18ePb38Y2hxm0vuOqQkmg%20lZhkmjCRzyVmEkbmSIIWKo6u0Z5FkXGRVKN6ZYk4lW2YBXQNA0EpoZJJIHSeSFYZC8kaBCsylGTj%20kzVmChmD+wq2Sj1xyUhXQNA0EpoZJJIHSeSFYZC8kaBCsylGTjkzVmChmD+wq2Sj1xyUhXQNA0Ep%20oZJJIHSeSFYZC8kaBCsylGTjkzVmChmD+wq2Sj1xyUhXQNA0EpoZJJIHSeSFYZC8kaBCsylGTjkz%20VmChmD+wq2Sj1xyUhXQNA0EmhkNqOcTyLEkbo1UBON2coVkYlTJkmBC4uF9xyBOOIV0DQNBJoZDa%20jnE8ixJG6NVATjdnKFZGJUyZJgQuLhfccgTjiFdA0DQSaGQ2o5xPIsSRujVQE43ZyhWRiVMmSYEL%20i4X3HIE44hXQNA0ElhkFqSczyNE8aItUhONGQuWkUhRJk+YDZOV9oxAOWQV0DQfCv8X1s9RZ878M%20aRLFXx/ttorYQxySyOZa0jMuTgKRSQqv6Nz6n01efrSa6tdvucYtq6fLsiOFo7P35+7hCNt+GY7p%20fcFhkFqSczyNE8aItUhONGQuWkUhRJk+YDZOV9oxAOWVGSVdA0DQNA0DQNBxX3cj7WTxakOtsQVp%20vzzot3swPYX17eqI/ak1c+2Uoze71UFfaWDqHYVFtLVhW5JHNbWNRYlhQxRvIAM2SNnlZFLeoUu2%2036z9dB4X3E7aLpvCO57iSqlx+srNdqwSwPZj+VXIlrO8cYLYxzojl/TDbMsoXIS/L9vXW3Gnp292%20961nHPEzEMbziJlxH+L3T1qH2io2oWdpO2s2rlkOQVWRJTVATYDZcKyn139d/wDuFg+tNxa/mFqz%20/LrWserHVx9tp9jVt4xR9Z1VG80GXs1oNWQXq/yYeeuUj4WsbTCdDBJgquRxy4vnttHtmSoXcBq0%20DQNBlurQNmgbNfmmWdjRk4Wl4ZuCUGTNVYQ7xciZsVByw33cAhq0DQNBlurQNmgbNfmmWdjRk4Wl%204ZuCUGTNVYQ7xciZsVByw33cAhq0DQNBlurQNmgbNfmmWdjRk4Wl4ZuCUGTNVYQ7xciZsVByw33c%20Ahq0DQNBlurQNmgbNfmmWdjRk4Wl4ZuCUGTNVYQ7xciZsVByw33cAhq0DQNBlkWh+a12evlfEE4r%202uFmwhLw80fyApWPkYRnAsC+O4BwOIatA0DQZZFofmtdnr5XxBOK9rhZsIS8PNH8gKVj5GEZwLAv%20juAcDiGrQNA0GWRaH5rXZ6+V8QTiva4WbCEvDzR/IClY+RhGcCwL47gHA4hq0DQNBljWh+a2GSvj%20fMEAsWuFlzhDzcMfyCoWTjYyHAMSmW5AzGQatA0HwWjX/pf/ACysRJWh+P5f1jyQCA8fF+7Esssi%204bNJJP10hbY+ueRbfcavepf5nyCJmZzt9TjnjnjiIjjyiupH8OMY4oseHV9b7hGtD81sMlfG+YIB%20YtcLLnCHm4Y/kFQsnGxkOAYlMtyBmMqIlNWgaBoGgaBoOR80XyqtLU7Hp+3eN/l068HRrXgeGyss%206rY5mZHsErCXkyikQIq5MGAOgp9y/wDp2n/xzx//AJ5S0HVaD5l/kf2x6/7R9xHHYkr2uwMNSuYs%20wXylWSeMsn4VatFLlkQGHt/SAe99M30q7/SnUx09WOP4reGmI7Z65ry5e9wiszGUbbU1q2jTiZ6a%20zafRWvG0z6MfbPCOMxDrPt50cnReCeP9RNVSnap9fWjuVo8MVs8SmwSY90ZmlLMzAnIknc76g+bb%20mNfdaupE9VbXtiePu58PPjyxiOyODVpxisQ6HXPZmglZa0sYNWOOWXkjDLK5jURl1ErBlSTdljyZ%20V29zAKSoOQCugaBoJTNaEkAgjjeJpCLTO5RkjwYho1CPm3IEXElfaS2+4xYK6BoGglM1oSQCCON4%20mkItM7lGSPBiGjUI+bcgRcSV9pLb7jFgroGgaCUzWhJAII43iaQi0zuUZI8GIaNQj5tyBFxJX2kt%20vuMWCugaBoJTNaEkAgjjeJpCLTO5RkjwYho1CPm3IEXElfaS2+4xYK6BoGgkzWvlRqscZqGNzLKX%20IkWQFONVjwKsrKXLMXGOw9GyJUK6BoGgkzWvlRqscZqGNzLKXIkWQFONVjwKsrKXLMXGOw9GyJUK%206BoGgkzWvlRqscZqGNzLKXIkWQFONVjwKsrKXLMXGOw9GyJUK6BoGgkrWvlSK0cYqCNDFKHJkaQl%20+RWjwCqqqEKsHOW59FxBYK6BoPgv+S0cXT+S/b/zaWnnR6js1Xs7UIj52WOWKzDCMmRn9sM5QE4g%207+oy9b39HzOto7nbRbxamn4YnOOVqzPo51z2z6cIu44TFn3VWtfKkVo4xUEaGKUOTI0hL8itHgFV%20VUIVYOctz6LiC1ESldA0DQNA0DQcz3fhM/a92najyLtKHHEYEpVfgiFUfbkwaWrLOjSbe50lDD9k%20jQYPu51lbsPFqUM7zog7zotjWsT1W/edvVhb313ib8MpK+vtbZxsyqQHV1usrV/i8bzt8OA1oeSx%20PLkhw9ZeR25pP3S/vJMn/F7vc24c35r9s+l8vSOPsbvYQQpM1loK9j900rRpEDxzLMiYJF7QgUbs%207fidiY+421dWIiZnh3Oz5P53q+X2tbTrS1rYjNomZiPRiY59vqjudBW6iGHqafWvYtTpSWuq2ZZ5%20fkyGqUZXmmQo8hcxjk39H9QwKkjW+I4ORe0TaZiMZ7IziPRxzP2zMtLVo2tR2iZOWKN4lUSOIysh%20RmLRBuNmHGMWZSy+oUgM2/rEhrRwyTyIZC1mQSyB5HdQwRY9o1dmWNcYx7UAXLdtsmYkMljpo5Os%20rddFat14qslV0njndrDLTmjlEcs0pkkkWXiwmzJZ1ZgTud9BratG1qO0TJyxRvEqiRxGVkKMxaIN%20xsw4xizKWX1CkBm3BDWjhknkQyFrMglkDyO6hgix7Rq7Msa4xj2oAuW7bZMxISXrKy0K9EPPw1uH%20jc2JzMfjsrJyTl+WTcoM82PINw+QY7gsdfzX6d1bM8L1ORWhjfaGZJV2KTRsGVsWVXVxs6kbBsWd%20XCsNaOGSeRDIWsyCWQPI7qGCLHtGrsyxrjGPagC5bttkzEhJesrLQr0Q8/DW4eNzYnMx+OysnJOX%205ZNygzzY8g3D5BjuFWrRtajtEycsUbxKokcRlZCjMWiDcbMOMYsyll9QpAZtwl+X42eeKzPFnP8A%20IsRZ8iSfuOAR4yiTij9Fkxhw943P4nyAvWVloV6IefhrcPG5sTmY/HZWTknL8sm5QZ5seQbh8gx3%20CrVo2tR2iZOWKN4lUSOIyshRmLRBuNmHGMWZSy+oUgM24Ia0cMk8iGQtZkEsgeR3UMEWPaNXZljX%20GMe1AFy3bbJmJDJL00bVaFRLVuKvQkifZZ3aSdYB+7jsTuXndcwrv+8ykx2csjOrBratG1qO0TJy%20xRvEqiRxGVkKMxaINxsw4xizKWX1CkBm3BDWjhknkQyFrMglkDyO6hgix7Rq7Msa4xj2oAuW7bZM%20xISXrKy0K9EPPw1uHjc2JzMfjsrJyTl+WTcoM82PINw+QY7gsdfzX6d1bM8L1ORWhjfaGZJV2KTR%20sGVsWVXVxs6kbBsWdXCsNaOGSeRDIWsyCWQPI7qGCLHtGrsyxrjGPagC5bttkzEhJesrLQr0Q8/D%20W4eNzYnMx+OysnJOX5ZNygzzY8g3D5BjuFWrRtajtEycsUbxKokcRlZCjMWiDcbMOMYsyll9QpAZ%20twlH1/Ffe3HZnCS5tNVZ+SFnZYkV1EgdosFg9EiZUJd2ZWY5AC9ZWWhXoh5+Gtw8bmxOZj8dlZOS%20cvyyblBnmx5BuHyDHcKtWja1HaJk5Yo3iVRI4jKyFGYtEG42YcYxZlLL6hSAzbghrRwyTyIZC1mQ%20SyB5HdQwRY9o1dmWNcYx7UAXLdtsmYkMh6aPjpwLatrUpxoiwc7lpGieKSKSawxNmRl4cW3lxkV3%20Egff0DW1aNrUdomTlijeJVEjiMrIUZi0QbjZhxjFmUsvqFIDNuCGtHDJPIhkLWZBLIHkd1DBFj2j%20V2ZY1xjHtQBct22yZiQkvWVloV6IefhrcPG5sTmY/HZWTknL8sm5QZ5seQbh8gx3BJ1+fa1+w+TO%20vx4J6/w1favJzvC/JJHt7pI+DGNt/aHf/wC9oKw1o4ZJ5EMhazIJZA8juoYIse0auzLGuMY9qALl%20u22TMSEl6ystCvRDz8Nbh43NiczH47Kyck5flk3KDPNjyDcPkGO4VatG1qO0TJyxRvEqiRxGVkKM%20xaINxsw4xizKWX1CkBm3CVfr+C/ctrZndLnGzVZHzhjeNcC8IYFo+RQuSBsN1yChmdnAvWVloV6I%20efhrcPG5sTmY/HZWTknL8sm5QZ5seQbh8gx3CrVo2tR2iZOWKN4lUSOIyshRmLRBuNmHGMWZSy+o%20UgM24fL/API3xqvf+03fWErz27lWev2cIEk8vE8bR15ZEjyKpGtUyFlAwHukIy3bVn+j9zOl5hSM%209Nb5rPLjwzEe20Vx254drTuIzSXQfbG5H5H9vfHu1fs7V1ZuvopOTI8Z+ZQYixIZQI7DtJOhSUO7%20I6r9MWfPmed7adDe6tMdOLziIxjpnjXl+7McOxnpzmsS7Bq0bWo7RMnLFG8SqJHEZWQozFog3GzD%20jGLMpZfUKQGbflsyGtHDJPIhkLWZBLIHkd1DBFj2jV2ZY1xjHtQBct22yZiQroGgaBoGg4X7veQ9%20B1PQ9dF2nZ1KEs/c9LNAlqeOFnjq9xTlsOgkZclhj98hH4V9T6aDtalurcqw3Kc0dmpZjWavYhYP%20HJG4DI6OpKsrKdwR9dBLs1oNWQXq/wAmHnrlI+FrG0wnQwSYKrkccuL57bR7ZkqF3AatA0DQZezW%20g1ZBer/Jh565SPhaxtMJ0MEmCq5HHLi+e20e2ZKhdwGrQNA0GW6tA2aBs1+aZZ2NGThaXhm4JQZM%201VhDvFyJmxUHLDfdwCGrQNA0GW6tA2aBs1+aZZ2NGThaXhm4JQZM1VhDvFyJmxUHLDfdwCGrQNA0%20GW6tA2aBs1+aZZ2NGThaXhm4JQZM1VhDvFyJmxUHLDfdwCGrQNA0GW6tA2aBs1+aZZ2NGThaXhm4%20JQZM1VhDvFyJmxUHLDfdwCGrQNA0GWRaH5rXZ6+V8QTiva4WbCEvDzR/IClY+RhGcCwL47gHA4hq%200DQNBlkWh+a12evlfEE4r2uFmwhLw80fyApWPkYRnAsC+O4BwOIatA0DQZZFofmtdnr5XxBOK9rh%20ZsIS8PNH8gKVj5GEZwLAvjuAcDiGrQNA0GWNaH5rYZK+N8wQCxa4WXOEPNwx/IKhZONjIcAxKZbk%20DMZBq0DQYe96et3XR9j01pnSr2daanO8RAkEc8ZjYoWDAMA3puDrfttxbR1a6lfepaLRnlmJy8tG%20Yw+Of4o3w3inbdNdTi73o7hqzwSQcNiGoxeWGGV8FZsbT2yFYlkJb6AjVt+uNtWNzTXp7mrSJ6on%20MWmPb+Ho9E/aj7afDjufcdUtJNA0DQNA0DQcr9y/+naf/HPH/wDnlLQdVoJWWtLGDVjjll5Iwyyu%20Y1EZdRKwZUk3ZY8mVdvcwCkqDkAroGgaCVlrSxg1Y45ZeSMMsrmNRGXUSsGVJN2WPJlXb3MApKg5%20AK6BoGglM1oSQCCON4mkItM7lGSPBiGjUI+bcgRcSV9pLb7jFgroGgaCUzWhJAII43iaQi0zuUZI%208GIaNQj5tyBFxJX2ktvuMWCugaBoJTNaEkAgjjeJpCLTO5RkjwYho1CPm3IEXElfaS2+4xYK6BoG%20glM1oSQCCON4mkItM7lGSPBiGjUI+bcgRcSV9pLb7jFgroGgaCTNa+VGqxxmoY3MspciRZAU41WP%20AqyspcsxcY7D0bIlQroGgaCTNa+VGqxxmoY3MspciRZAU41WPAqyspcsxcY7D0bIlQroGgaCTNa+%20VGqxxmoY3MspciRZAU41WPAqyspcsxcY7D0bIlQroGgaCSta+VIrRxioI0MUocmRpCX5FaPAKqqo%20Qqwc5bn0XEFgroGgaD4V9qJa/T/fLzrq696GzU7uexbaSRGhl+XDOX+PErN7uP5M4c7e7AMNhvrp%20b76jpvaae3mvTbb1rWvHPVwxeZ5cfDTpiI/HmZ4Y7u5+m9Tb7Gm75/EnNo/DW3uTwzz45mZjjatc%20Zy+665rhGgaBoGgaBoOQ+5i95P1NGn1PSW+4l/MutuzGrJTjWKPruxrXJA/y7FbdpI4mEeG/uHuK%20j10Ff6y8i/sTvP43R/zPQeJ5f9wPLaXUwTVfEO5oyv2XVwNPLJ0rq0djsa8MsIC35fdPHI0SnH0Z%20gSygZAPb/rLyL+xO8/jdH/M9A/rLyL+xO8/jdH/M9A/rLyL+xO8/jdH/ADPQeJ5f9wPLaXUwTVfE%20O5oyv2XVwNPLJ0rq0djsa8MsIC35fdPHI0SnH0ZgSygZAPb/AKy8i/sTvP43R/zPQP6y8i/sTvP4%203R/zPQP6y8i/sTvP43R/zPQeJ3/3A8trdt41DB4h3NWK72UkFqB5OlZrMa9dcmEMZF+TBhJCku5Z%20PahGW5xYPb/rLyL+xO8/jdH/ADPQP6y8i/sTvP43R/zPQP6y8i/sTvP43R/zPQeJ3/3A8trdt41D%20B4h3NWK72UkFqB5OlZrMa9dcmEMZF+TBhJCku5ZPahGW5xYPb/rLyL+xO8/jdH/M9A/rLyL+xO8/%20jdH/ADPQP6y8i/sTvP43R/zPQeJ3/wBwPLa3beNQweIdzViu9lJBageTpWazGvXXJhDGRfkwYSQp%20LuWT2oRlucWD2/6y8i/sTvP43R/zPQP6y8i/sTvP43R/zPQP6y8i/sTvP43R/wAz0Hid/wDcDy2t%2023jUMHiHc1YrvZSQWoHk6Vmsxr11yYQxkX5MGEkKS7lk9qEZbnFg9v8ArLyL+xO8/jdH/M9A/rLy%20L+xO8/jdH/M9A/rLyL+xO8/jdH/M9B4lv7geWp5p1VBfEO5SpP1vYzy9eZOlMkskE9FI5lf55ULC%20s7qwMi78g9rbEqHt/wBZeRf2J3n8bo/5noH9ZeRf2J3n8bo/5noH9ZeRf2J3n8bo/wCZ6DxLf3A8%20tTzTqqC+IdylSfrexnl68ydKZJZIJ6KRzK/zyoWFZ3VgZF35B7W2JUPb/rLyL+xO8/jdH/M9A/rL%20yL+xO8/jdH/M9A/rLyL+xO8/jdH/ADPQeJb+4HlqeadVQXxDuUqT9b2M8vXmTpTJLJBPRSOZX+eV%20CwrO6sDIu/IPa2xKh7f9ZeRf2J3n8bo/5noH9ZeRf2J3n8bo/wCZ6B/WXkX9id5/G6P+Z6DxKn3A%208tfzTtaDeIdy9SDreuni68SdKJIpJ57ySTM/zwpWZYEVQJG24z7V3BYPb/rLyL+xO8/jdH/M9A/r%20LyL+xO8/jdH/ADPQP6y8i/sTvP43R/zPQeJU+4Hlr+adrQbxDuXqQdb108XXiTpRJFJPPeSSZn+e%20FKzLAiqBI23Gfau4LB7f9ZeRf2J3n8bo/wCZ6D1ev7nsbXVWbs/RXqNmDPi6yw9FrE+CBl42gszV%20xmTgvJKvr9dh66D1dA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQ%20NA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQfLOn7fuH7bqO9e3O1ruPJe06K117TTNWSjT+csSpV%2034o5U/L0kMoTI7tkcT6BX7gdl2p7PymSK7Yop4n47F3XVCGeWGOS47XGL2EjZFsRIKKKY5N02Ztx%20uRsH0qrJJLWhkkXCR0VnT1GLEbkeux9P+3QU0DQNA0HJ+e2Lj2fGumimlrVO87Q1OxsV5ZK8ogip%20WbeEc8RWSNpJKyrkjBttwD66B4PPf7PxW7Us25s6t7tOqrdgGyscNO5NVhkMkgfOVEjALtlkw3b1%2030H54N101LsO9FXsLV7x5rEadYLlqa88c0UfHcWOxYeWYx8qgYs5xcPtsNB1ugaBoGgaDj/Mfkdh%205P47449ixV6zsI79q7JTsTVJpGqJEIYRPXMcqAmwZDi6k4bHdcgQl0fmy0vtfQ8l8gtRCQV41mt2%20HjrRzTNIIIneQ4xx8zlSW9FG+/00EftD5LH3nTdqx7yDvbNbtbqSWa8qSoIzMxhwVGfCIp/shv8A%20h/SfroO70DQNA0DQcH5o1vsPKYemPYWevo1enudqrU7ElWR7ccsUUMjPG0ZeOBWYtG5MbFxmp2XQ%20fnb+WeSf+mHS9nRRI/JO/h66CFmAVIbPYCMO+zqygx5sUDqRlsCNtBv+2duWTp71G1HZj7Xqr8tL%20tfk3pezzsKkcvLFZlWL93JFKj4LFGqMSoRdtB12gaBoGgaDmvuP2fYdb4ddsdfKa9qSStVS0v4oV%20t2oqzzruHG8SSlxuCPT10EPCzPU7jyPohYns9f1diuaL255bUyLZqpLJE1idpJZAJN3GbEjLb8IU%20AOW8Bu9ifPJYrvbWpTPH2jo01iaxS7SNLyrBPRRzwVjSjBiljjVScg3vTGRg+q6BoGgaBoGg4wdP%20Yr/cKpY67tbsxMdqbyClPbkmrCCf0phKrExQMske0TRIpZFfMsfUh2egaBoGgaBoGgaBoPGg8O8d%20g72XvYqzL2M2ZZuaYxK8iqkksdcvwRyuqANIiB2H1P10ELvgXi974HzK81luuQRQPLbtu8kYdZOO%2005lytJmgYpYLqT+jQdBoGgaBoGgwd30XWd3RNHsY2kgzSVGjkkgljkjYMkkU0LRyxupHoyMDoMq+%20I9JHQr0K4s1alWvJVhjrXLdf93LtmzGGVGeXdd+ViZASSG3Ztw/jxnwrx/xmMx9THYVOKOui2blu%207xwwgiOKH5cs/Eg3/Cmw+n6hoPc0DQNA0DQeX5B410/f1oq/ZxSMIJOWvLXnnqzxuUaMmOes8UqZ%20I7K2Leqkg+h0F6nT9fTlheojwJXrLTgqxySLWSFCMFWsG4QV22DYZbem+3poP663qev61J0pRcS2%20bEtucZM2U07l5H9xbbJjvsPT9Wg16BoGgaBoPH8j8Q8e8jSFe3rNOIBIiGOaaBjFMAJoZGgeMyQy%20hRyRPuj7DJTsNB/fY+L9L2UFyvdilmr3khSWA2JxGnxmzheuiuFryI+zCSEK2QU77quwX6bpet6a%20kKXXxtHDk0jtJJJPLJI53aSWaZpJZHY/VnYnQbtA0DQNA0Gfseuo9lQsdffhWzStxtDZgcbq8bjF%20lP8A3g6Dz+u8S6XrqkdWmLMaJZF15TctvPNOBtlYneVprAxAXGV2XEKu2ygAI9N4N4x03Yydh11R%204bEnNgrT2JIYfkyc04rQSSPDXEsgDOIUXI/XQe9oGgaBoGgaDnKP2+8ZpdzJ3MK3WuyztblE3Y9h%20PA07RiLkNaad4CyxgKns9oAC7bDYOj0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNBz/3BoUb/g3f%201r1eK1WahYdoJ0WRC0cZkRirAjdXUMv6iN9B85n6Hxjxuz9ubXi1Kt1Pk/Z2asE9br0WubvXPXy7%20A2YYVCzJEoEuci+xwuzAn1DR0X3Q+4vb9fY7OPpa0FC/X5ehkmemjib5sVX45Q9llZk2n/bFXaVR%20GdmcbBU/cfzrsLFat1b9JW5eq7TsJLNyO9uljq7i13getN8GWMKHCuzH0bJtsVAcM9fyi1W7fyPy%20Oii0r/c9b4vLFXvC1dMUt6WzHwpWhPI7qr+2JDGpfcsUBZ9BZPuD9x+x8c6SXqx1dfyXtLV+gOot%20VJpS8vX3pKs07mC7jWrwxxZzMHm2ZgiliVzDXJ9x/LB5jH1dIdd2vWTvPThnihnrxfKg6s3lyuNL%20KDySIQUhryLGhG8pf2EPDj+6/wBy/wCn17eaDpQD41T8oMKx2jsku4etk0wyaYDNX9OL8GM349B7%20vlPnfddH3nkKU+opyX+bpqHXWowjTSreM4U2jNLRR+OQOIouZBu34939AwXvuP8AdKGOOu/W9V11%202Lpe37S81lmsusvU2IkVfj1Z3jTlimTdPlMULn3HjxlCy+beW1+37zsZb1T8tlTo63XVpa0gjpyd%20tIqJPK4sgOsZmbkUKpkOIzjA0HZ+M973c0feVO6WvY7DorPx3tUUeGCwr1orabQyyTtE4ScKymRh%209G392wDjuj7vy2LqvCpOqXr5Ow85ha/3Pa3mnlKTyUvlrxQIUziiX2InKvtUKNt8gFvB/Ke+83p0%20qflFaktDyDoYO3ihoCxHLA5kVCRO0mWRYrNGyKjRN6BnKiQh2HgPZ3Oy8SoWbrtLbQS1pp3ADStV%20meuZWA9N5OLM7enroOg0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0D%20QZe06rq+2oy9f2tODsKE+3NUtRpNC+LBlyjkDK2zKCNx9dBi6Pw7xHoJZZei6Pr+plnUJNJRqw1m%20dQdwGMSoWAP69B/LeFeGu/YSN0PXNJ2w27VzUgJtDLL/AFBw/e+719+/roPCvfa7prfkvVXJKnVN%20431NKWnW8ek61JER5pUl5omMghiKtEuO0G+xb19RiHu3PCfDL096xd6HrrU/ZqidlLNUgkeysTK0%20azsyEyBGjQqG32Kj9Q0GF/tb9sXUK/iHSsqksqnrqhALfiI3j/Tt66C9v7d/b+5Ze1c8Y6mzakVU%20knmo1pJGVU4lDMyEkCP2D/8AD6fTQSP2x+2xTA+J9MUwEWJ6+rtxhswm3H+HP3bfr9dBrXwfwtBa%20C9B1qi9ClW6BUgHNBGqqkUvs96KqKFVvQADQRk+3f2/lWFZPGOpda0Jq11ajWIjrszMYU3T2xlpG%20OI9Nyf16CyeEeFx5YdB1qZ1D1zY1IBvSP1qnZP8AY/8A5f4f+zQeh1fU9V1FCLr+qpwdfQgy4adW%20JIYUzYu2McYVVyZix2H1Og8Gr9uvGBEtbsevpdrTqNL+Tx3akMz04Zx+9gjkcN+7J329B7dlO+2g%20on2/8XoRtL451XW9D2giNev2lOhWWaCKRt5BFsigE7sVy3XL1ZWG6kPZ6nq6XU9ZV6yihjqU4lhg%20Uks2KDYFmYlmY/UsTuT6nQa9A0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0%20DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0D%20QNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQ%20NA0DQNA0DQNA0HmeT9pe6nx7sO0o1YrlmjC9has8zV0dYxk4MqxWCpwBx9h3Pp6fUB4XS+bdo0cN%20ryet1PSddZgikhsx9tzlZbJXgglSerSxaUMcMS25Uj9W4ezL5j4jDQt9hL3nXx9fQsGneuPahWGC%20ypAaCWQtikgLDdGO/roFvzDxKnLFFb7uhWlnhWzDHLahRngZXdZVDMCyFYXIYemyt+o6DJD9yPt3%20NTsXYfKeokp1CgtWUv1miiMpIjEjiTFMypx3PrtoPaj7Hr5OvXso7UT9c8QsJcV1MJhK5iUSA4lC%20vuy3229dByvQ/dLxzs08hu2LNXr+j6K7FTTuJrldq1hZq8MyTCZWMKq5sBUHIT9N8WOID2PIfMfH%20PH/HJPIuyuxJ1KxrJFYEiYzcg3iWJiwRjJuMfdt+nfb10H4fOPCgdj5B1oJgNvb5kH+7CJZzN+P/%20AGfC6yZ/TEhvodB+yebeGRdNF3knf9cnSTuYoe0a3AKryAsCizl+Nm3RvQH9B0GiTyXxyLtavUS9%20rTTtrsfNS69rEQsTRbMc4oi2brsjeqjb0P6tB5Hc+edd1PRw9lbu9RAbNySpXksdnHBSIimdHJtP%20GP3ixREtGsbbSezfYF9B69zybxyjdjo3e1p1bsskMMVWaxFHK0tksII1RmDFpeNsBtu2x2+mg9LQ%20cVW+5Sz3unI60x9F3clv4XdSWIli+LUrmcWWT1IWfBjH67cfvYqThoJzfdGpB5F10DxVbPiXcLh1%203lNG4LUIsF1iSOyixLHEsk2cSSLM4zCq2JcaDVV8z7uGQSd31EFTrTfbrWuU7j2uKVpFiryTRy1q%20m0csjYFkLYMV3GJZkDr9A0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0GHvYe2m6PsYemn%20St28laZOusygGOOy0ZELuCsntV9ifaf+4637a2nGrWdSM6cWjqiOc1zxjs7PTDy2ccHxz+k/8sv7%2006b+DH/LtXD57yD+hq/bP+6j9Or3x/j2H9J/5Zf3p038GP8Al2nz3kH9DV+2f906dXvj/HsYqfSf%205X2bDLH3MHW5ryTz3vgSRNIqpGBEkENto8gN8QoT6n8RO9f8k3myi+r85oW6bW6tPptM9Mfgmeuu%20YjhienM+KZnks3n2ls/h6XympFrVr038Nq9U8+vjXtnOfFOI6YrGIbf6T/yy/vTpv4Mf8u1YPnvI%20P6Gr9s/7qs9Or3x/j2Pd8J8e/wAhqnk9Kx5d5P1nY+PJy/Np1o0WV94nEeJFOA+2Uqx949B/8NQf%20Mt35RfQtG30dSmrwxMzOOcZ/mW7M9jKldTPGeD6pqrN7yfLqXaXvGO0odVHBLfuVpK8K2pXgh/fL%20xszSRx2GGKsWGyHc+npvuA5KH7amt9trHR9V1nV9N3lqKubMVNmFKWzVdWV3dIIW/eCMZPw5ev7W%202g8Sz9rvN7013tbslFbsnffndXqqnYdjUTCTrU66VG7SukNhHCrupSDbYEEbPsgbvFvtx3Xjva9r%20b6/pekr1rXQ1etqVhatShrVVpmCWWlrNJJCVsCEyF2crEpwGWEYZYPBPuQeqVLVfqT2r34+w7S7H%202FgWb0jwTw2Cl09fyUMVeKOHgjLpCGRZE9G0Hs1fBPIh9n6niEklSHuqFevHC6ySzVJXpTJLGsrm%20OGTjnEQWX2HYMfx/pDn732r807HsOy7q0evgs2O6rdzV6enf7Cohw6z8usB+zrR17CO2XIjJB+gh%20txIcQ6y14Rc/9Ln8V66GrTt8GFatz2Ja0bcvKIzZmWSdwPwmQpufxYD8IDyF8H8xaLzKeKj0vWdh%205HLSs1uGU2k5YEjWcTGegqZEozRyNFJszZFDtsQxdH9vfOepMF1avWWp69vsmPWW+zuWopqvarGX%20Ml2enJNzRPAFBaJs0Zhuu+2g93r/ABDyHr+8nZeu6a50/YS0bsnK0kb0LFSpHUaKnX+PKjxYVwYm%20MsZQu3tP7QeR4z4F5t0FDrzBR6aV6idpSfpmtTrTWp2d0XVaKYUt1Me3E0PBi6gHJdsdB4832b8n%20opfr9PU6ecy0+gpV+1sWJa1qUdJMs0rzrHTnxM/GibCRtgi7k7AAPsdus9vr5qzkRPYhaNmX3BS6%20lSRvjvtv/wBmg+SXPEfKfI/GfEuq6t61C54mhqd1HNPJCy2YKYgSLiFecTVptw7rmgkhOIOz76Dr%2036LyXvr7Q+V9N1J6W518tHsIIL9i0xMj5bKj06wKkKPXNWB+m+w0HkW/Hey63wr+jLXYv3Hd9xcc%20VLTDew9RbKO9myUQAcEGPLIRi0hVd8pFUh9L0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA%200DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQf/Z" height="319" width="399" overflow="visible"> </image>
          </svg>
        </div>
      </div>
      <div class="fig"><span class="labelfig">FIGURE 4.&nbsp; </span><span class="textfig">Draft force behavior along the farming tool displacement.</span></div>
      <div id="e4" class="disp-formula">
        <math>
          <mi>m</mi>
          <mo>=</mo>
          <mfrac>
            <mrow>
              <mn>14.1</mn>
              <mo>-</mo>
              <mn>12.5</mn>
            </mrow>
            <mrow>
              <mn>2</mn>
              <mo>-</mo>
              <mn>0.4</mn>
              <mi>&nbsp;</mi>
            </mrow>
          </mfrac>
          <mo>=</mo>
          <mfrac>
            <mrow>
              <mn>1.6</mn>
            </mrow>
            <mrow>
              <mn>1.6</mn>
            </mrow>
          </mfrac>
          <mo>=</mo>
          <mn>1</mn>
          <mfrac>
            <mrow>
              <mi>k</mi>
              <mi>N</mi>
            </mrow>
            <mrow>
              <mi>m</mi>
            </mrow>
          </mfrac>
        </math>
        <span class="labelfig"> &nbsp;(4)</span></div>
      <div style="clear:both"></div>
      <p>The finite element model verification is based on the analytic model of <span class="tooltip"><a href="#B33">Swick &amp; Perumpral (1988)</a><span class="tooltip-content">SWICK, W.; PERUMPRAL, J.: “A model for predicting soil-tool interaction”, <i>Journal of Terramechanics</i>, 25(1): 43-56, 1988, ISSN: 0022-4898.</span></span>,
        which proposes a soil cut dynamic model that takes into consideration 
        the forward speed. Its area of flaw consists on a central wedge and two 
        growing sides (<span class="tooltip"><a href="#f5">Figure 5</a></span>) with a right rupture plane in the bottom.</p>
      <div id="f5" class="fig">
        <div class="zoom">
          <svg xml:space="preserve" enable-background="new 0 0 500 360" viewBox="0 0 500 360" height="360px" width="500px" y="0px" x="0px"  version="1.1">
            <image transform="matrix(2 0 0 2 0 0)" 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YAz9sroov%20tI20IxQ9Pq26J+CYEpgMDnvOebXAwYT3DZsRx8rcKg232DfR6Sp7TZRUcYQQbHeZmKr9OiaYEl47%20urucfIa+3ns2r9JZlCCxjsfbCaKw0+QE2hODuZN4m10X8vXrgXDA+Hn2WGjeeMWmgTcbhqgiiJ8V%20VcCucK4xOqjt7O2dakXd3MOTJeY3q2DAfpxWAVxVLa20KfJNyrgWbAoXKw/0nyqJzKP7KmyNms5Q%20yKAI6uGjUOeaqmurRkjR9foJPgGBfcBgMBgMBgMBgMBgMBgR/IrVajj9naoIktfEflIJrtFVZbI0%20RV+CLtwPzLx2xr3qzicfnjVixGCcrx/c6OVMSLWbjdBWmNyCqShYbcKUJe0tUUfVCu62MqHf8442%20xEfCXXQY8i5Jxskcjul/20cgMVUVIDM1wjZij+4+TZ0pV3M0Na3CZVETRJFg59xJEvX3I0xGVPwL%208cDDwlP3Dk/Lb5UTac0KyMumq9qA2iEQn/SbrhdE6ap88ER/Hlq5nCOS8juGxk119Im2LrbybG3Y%20LI/bxPXqgnEjNL1+K4G34y5rZX0aVX3sduFfQBYkORmUJAKHMb7sV4N/XTTc2XyMFwLvgalpUVVt%20CODaQ2Z0Nz648hsXW109FUTRU6YFMXxpZ0gkfBb+RTiiajUzt1hXKqAIiIg8XeaT2J9DmifBMD0v%20JFpQKrfOqR6sYFdP3yvQ51cSfqLuNQHvsJtb/wCo3p19cC51dtV20MJ1ZLZnQ3P7ciO4Lra/wIVV%20MD5urSNU1E2zkmjceEw5IdMtdEFsVJddP4YEFwDj/wBpw2matIofuHusnmnQFSjy5hnJdEdd20mj%20fIEX10wJbj3HoVFCeixTcdSRJkTX3XlQjJ6U6TziqqIP5j6fJOmBJ4FV57QWfI26yjbFEo5MoXeQ%20u79pLFjp3RYEUVFJH3RED/wbsC1IiIiIiaInRETAYGleU0C7pptPYN9yDYMORpIeiqDoqK6L8FTX%20ovwXAgvGFrMseE16WDiPWlf3ayydQkPfJr3SiuubkQUXuE1v9PjgWrAYDAYDAYDAYDAYDApnmNtx%203xrdx2z2FJbaj7ui6I8+22Xr+B4FS4/DouK865BLkQ33Gp1wNU9K7inFjrZRmZIOOMrqLaPmTUcy%20Hoqi3r64GxQ8FhWt9yi+47Of4xLCcsCI9WqKxnFit/qOuxjQo7yG88W5FDVFHoSLrganGuaci47x%206x5Rd1a2VTcE9aFyWuRS0BA7cdZNeqq8yIsMtj+mTiIn1KmDG9Rcnqo/hY3KGxbetTiqB9gxJ2PZ%202hp9Yp1HtSZXxTXRPjgTHMaqPC4NUcNiAjbdk7CphZBVIkjaj9yTevqoMNmWq/LXGiK5zzGDV8yC%20ZW0f399RMOpYSSUmyWqVtuRJBjYq9wxQhMBMdNRIR6lgdKrrCFZQI9hAeCTCltg9GkNqhAbbiIQk%20Kp6oqLgbGAwBCJCokiKKpoqL1RUXAqNj4x449OctKkpHHrhzq5YVLn25OLuQv1mtCYe+n/qNlgUr%20yLQ+UZvHmOO3At8g467MjHc29UCx7NYLBC44CwdVAzcMERSZNfbro3gdF43zvinI0IamwbdkNrte%20huITMlstSTa4w6gOCvsX1HAnsBgU/wAdwLN1qz5PcMvRbTkMhXhgyOhRYTCk3CYUEUhAu1+o5p+c%201wLhgMBgUTx29GZ5Tz6oYbFoY1y3M2iuvWdCYcNfw3OgZfxXBF7wGAwGAwGAwGAwPFVU00TX54Hi%20mqIqqC9F0RE66p88Cj+Xu/J4zBrGtQK1t6yIq9OglKBxfX/+eCqFDvb+28/cp8fXVLELjdrB+5mo%20m8iejtNi0xJU9U9xbgbXT6VHp1TXBqyyLWo47wbkfEa4ZUaZT7YDJynROQ8twe1mcLidT3PSCVfj%20uFUwJnmdc3H4tScNiiuy1kxKogaRBRYjSd2Z119n+UYd0VPjkET5J4dx/knMONVyx1h2jrzs+Vbw%209WZgx4IpsFXW+uhumG3fqnt6dcpiPkseQKvnUOM09/raHx6Gc/sPK3BnMuTO5HYLup+jINWm3hTU%20Q9V1XqmQRHhK3ZXm/IS5NYux+VPudsKqyUG3BV9w3yajddrnaFRBe2S+noiZRdeE8jqqyzHicaAU%20KqfkWX+nXxUjbcKHJMZkb3f2zbeRwmx+lW9Nv0rgX/uDrtXVF/gv/H0wPO83oi9dFXROi/x69OmB%2073Q93r7fq6LhKdwOnr7uqdFwp3B/H109F9cCD5NwniXJkH96rm5D7H9iYiE1Ja0RdO1IbUHQ+pfp%20LArwcf8AIvG3BLj9wPIqrov7RdrskiH6Y7WZ4Dqugia6Ogvr64ELybyW9LfpKGxYl8MkS5jbtvMs%20NjUduNG1eVpmaikwRSCbQB9yLt3dMK6sDzRiJgaEBChiY9RUV6oqEnTCPUcb6e5Pd0Hr64DuN6qm%209NU9eqdMD1DBVREJNV6omvqmBQOD7j8k+RJhooAkmshARCgiqsQkdXaX5l/zHXAv/cDXTcmvrpr8%20MDxHWl00Mfd6dU64Kd1rTXeOnz1TBTuN66bk19dNUwHda6e8evp1TLB9ZAwGAwGAwKR5KlqNlwuA%20DauOzL+OfT8oR2nXTL+W3A3bPhzj/kak5fF7QHDgy62yU1NHXGHiB1hAREUF7bokq66fVga/P+Pc%20eRyJzOxCaTnGdZZswNCWQ03qWx5rRe6DSr3RFNFRU1TA8alRr7yHWyIyi/X1NP8AuDLuuok7bOK1%20HdbRPiLEV9FX5OYGkzc18XlvMOXWkhGaagisVoydPaiNIsmUmiakRo44AponX0TXA1eG8yrXuXX6%20yam1rbKbGat5RWTIALFc0w21GESA3E0M+8aB9Qn3EJEVMDXgRqwfEVlyLkVbHsXZqTL4ok0AUDdd%20InIoCha7d4C0Ioi66rkEFbeOrXinEePt1d0UtyNLrkh1Vp3HGEsiNtsTiyG1B+NvJT1QlNvQl9mU%20Weg840Elpz/UUKTxo2ZDsN6RMHdC+5jqout/dB7AUVT0dQC066YHRI8iPJZF+O6DzJ/Q62SEK6Lp%200JNUXAyYDAYDA+H3mmGXHnSQGmhU3DXoiCKaqq/ywKjwGbYcp49KubtEfrLqQ69T17zQbWq1f02N%20yK2BErworq7lLoSJrgYF8Xs1TqyOE2kjjDhLuOvbRJNW4qkClugursBVRvTcwTa9V64GJedcp48h%20BzPj7ixWxUivqQXJsRUEUIidjon3TGn4iQ/4sC1UXJOO8girKpbCPYMaqJEwYntUSVFQkTqKoqL0%20XFEku1E1Xog/H5YFL8So9J49Nv3XXHf9SWcy1YVwdipFM0ZiaDquiLFYaJP44F12p8sBgNE+WA0T%20AYHwrLSoqbE0L6unr/HA97barqopqnRF0xQ7YIiIgpoi6on44H1gMBgUrl7bL3kLggHopNvWL4Cv%20zCEo6/y34F1wCoipovVF9UwKLxik4l48mzaiPJcEro5VrCjO6KjbEVtoTixyXrsaFUIA+CbtOiLg%20aXHuO1Nv4qcHkTyxWOSuFaTZfeRo0KXIR6KXcL2iSAjIonzTTrgY77xwldVW0uDdyXuTXkVKpZtl%20LEAfV00FoNEHaJNoR9oQHX3F664EpziIx9txfiEJtAjzbCMJsAO5Qg1ifdKSa9EEXGGQXX4FgZuR%20otl5B4xUogkzACVczBJdUVGhSMwm1PzI9IRwVX+ldOuBAybjj1B5G5E7KEwpLJurg3H6XcipZy1d%20Bs3k0VBQ2O0Dhr7fcG7BEvK8WQoTxzeG2D/FZxkpk1F0dgOEqkS92C4va0UjVf09i/jg1jDmHNuP%20IgcvolmQh0Er2iQ5DfVQHc9CX/MNp7lVe33PTGqtPH+T8f5FASfR2DFhFXTcbBoSgqprtMfqAv8A%20CSIuESeAwKtyvkMtm8oON1iMuz7d8nZwOiriNVcZN8p0hTom9VBgFLpuP8FwLO000y0DTQC202KA%2022CIIiIpoiIidEREwPrAYFV5D4z4pdTUslYcrbkSQht6xxYkvVCQk3m30dTVPRxCTA5/Jveb2D0z%20gNJcx+WDLbKDO5Cy2rLtU0SADpynmlWO692yc2A3oe/RSREwOxV1fErq+NXwmhZhw2gYjMj0EG2h%20QAFPwQU0wNjAYDAYDAYDAYDAYDAotpFKV5moSJNW66mnyAX5G8+yz/8Aiq4F6wI3kEy9iwhKkrgs%20Zzjgto28+kdlsS+pxw9DLaPyACL8MDnFn4n51y5uW7zLlSxngkI/Qw6UBBiDqBNnvdMG35G9twmy%20QiRNqr8+gS/JLekv2ePcdpDCTBl2qMTGWU2C0zTr3ng6oKgrTzbSaafh6YEhyNUsvInF6dFAmq9u%20XeSgJVVV7IDEjptRdP7kvuCq/wBHTAMr+6eVZB6EcfjdcDAquiIEuwLuHp8S1YbD+GB7xDZY8v5b%20ejtJsH2KSKaJ6hXtq46SF8f8xLcbLT4hgRfHY1NacJ5Td34idVyF6fIlm4q7v29pCYaQ1RU2q2y1%2002r0+euBJ+Mr8pPHqulspJu8khVUCVZA8BA5tktrsJVL61RW1EyT8yddNcC5YFX5B434vczUs+yd%20ZegmjV3WmsWYPw6uB0cT/C6JD+GBFnI8p8ZTV5prmtWGqk6wjcG1EUQy6sqqRX/QU9hAq/04Evx7%20yNxK9kOQo0xY1owhLIqpoFFlt7FVC3MuoJadPVNUwMfCLJjkjB8tOqbhuylci1kwtVkPVjbpKwZ7%20gBWxdXVxARVTRUXX5BZZUaPKjPRZAI7HfAmnmy9CA02kK/xRcDgHKuH+c+AcgiF4wnPXXEprwNhQ%20TySSMFdu1Gt7xI4MYU+khcHbpoWvqQdCneaOJUtcI3rr0S+BlCdpnWSalmQiu422iVU7SqBaHu26%20IvXAq0aP5S8rOq5Ym7wngBEitxYx6WlkyvVNzyf2WjHT6fXVfqTrgdZoOP0fH6xqqpITUCvj9G47%20I7R1Xqqr8SVfiS6quBI4DAYDAYDAYDAYDAYDApLD5SfMsoAH9OtoWweL/HLlqYJ6/wBLC4F2wGAw%20KSXD6mj5/J5q7MZiwp0cIzsZ9VERnOuC2j7SqSAJvhtbPpqWg4GxxQv3Dl/LLreJstPR6aKop0Vu%20A2rrq7v6kky3Wy/5MEaXA58OPxq+5nOLtxrGXNs3ni1IwiRdWgEl+KA2wqiidNF6YK0hkTuOeFHJ%20kkFG6mxHJMhpV2F+4WriuGKbeuqPyV0069MGNvl9Ylb4+q+HxlLuWjkKi1aHbvaPRZqqv5d0Rp9d%203rr+OB5zlGYPNOJWUZ1IctpZgWElG+4hVTMcn5DTiD10U2wUFT0L/ZgXWrs6+1ro1lXSAlQJjYvR%20pDa6gbZpqJIuBs4DAo/keHxC3mUvGrymS3lXbrrUdQUQdisttqb0lHUUXAEU0H2L1VUTA12OLc94%20mDTfFrMLukjgDbdFclo8ACoDtjzgTVNAEtqOgSfjgZ2PLvHYgK1y1l/iM8W1cKPajtac2BvP7eUG%209h/T02iW/wDw4Ff5R5Lvp7kaDSsv08axNWoDrjHcuJ6ISbigwDUew1s3KsmVtEfiKdMD74v4UgyE%20cnc0YbnOyCVxKZw1ltAaqSi7Jkup3ZchBLTcugD12AnrgWReFX9Mm7iN2cdkV1Sos0KZD03a7QNV%20SQymirptNU/DA9a8gv1qo1zCnfol10/cW9Zlcvp1WS0O5pOvVXgAU/qwLVBnQp8RqZBkNyojwobM%20hkxcbMV9FEhVUVMDPgMBgMBgMBgMBgMBgc45Ja2PCeZWnKZVM/ZcctIsJiVPgIjr8Ioivbidj/3C%20aJHddzeumnVMCycT8i8J5ayLvHriPOVUQlZA9rw6ju0JotDRUT16dMCx4DAjuRUNbyCjm0tk33IM%209omXkTTciF6GCqi6GBaEK6dFRFwKIwNpwvxDYQrRxqVyFhuUjptuqZSZM+S4jL69BISfNzdt09dU%20T0xg3+W137X4/qOHsOKbtkcGhF0BQEcbVEWWpIn0dyKy9/NcDZ5oH3vIeI8eZVRBZv7nJQBQlFis%20DuAq69BEpBNBr+PTFH3af+S8n00HRCZo4EiyfEl6d6WaRoxCKfmEW3+q+iF+OArFS08n284CVWKG%20A1VgQp7CkTCSVIFV/qbbbY/keBHeMnm66Ze07b7bdElvLZ45GecX7jc175rQCuv6Lbymrei67fgi%20ImB0LAKqImq9ET1XA52nKvHEa5c5zYXKsOSmlqq5mYuz9Nh40cKGxp3TR9wPrFF3IKadMCF5D5m5%20bMnjR8F4s9KuXwRxorVftkaZNEQZLsZF7wNIS+ruzdp7demBD0dZyC1ve41PHmPL4xr9xySUC/6e%20plPobcCMKiL0hA9vt6+m8h64OXVuKcKrOPfcykccsLuwPu2d1L0OU+fog7kREbaBPa20CIIp6Jrq%20qhYMBgFRFRUVNUXoqLgVOd43pu87NoHXuNWjqkZSqxRbacMtdSfikhR3VJS6kQb/AJEmIFdP8hwL%20FmDc18a2gOnsS7rj7BNpqvukQ3lJR+H9pw/x0wLZgMBgMBgMBgMBgMBgcw5l4VqJbr1nx2HDZmuE%204/JrXxJuNKfcHb3BfYUX4runTuNLp/UJY0aHG5PKG7Jamv5HLrLptVcLi/KmgmobYggmcWa0rTr7%20SFoqELi6fmFPTAsw8s8jVzjTdzw5ZzO0+7Oo5jT/ALh9NI0r7UxQvlvLTA+f/ujhEdlhy5WfQG+a%20to3a18uMgmn5Sd7ZMf7HNMCu8tLgfJuXccvaTkdbIsoUuKFnDZnsosqC0+j7W4e51WM/o8HTVfcP%205sC12ro2Hkqlh70+2p4UixfQi9hOySSMwop8TbQXeq+iF09cUr2qUbHyPdWhGqxqaGxURV1RAR+Q%20qTJiafmXZ9r1/imBj4S4zIu+VXzpCH3k/wC0Y1XX9CvaRkSEl9RMtx9OnX54Fd4n5E4dT8Ssbqff%20QP3a3dm3f2T0xgXiA1VIbaBv1RftWWQ2/PFFRmcr4UfiOJHqZciw5VS9mfVzYNfKf2XLrm9tvv8A%20aVhe8672HNx+5CVPXFHSmuZeRZ6NhX8GciGUdHHH7efHjtg+o/2xGMktw0RfiqD/ACwIXlFX5BlV%20htcg57C4s9Ob2RGayOINibLRvSN78ozdIUAVVSFQRET8cCvV0Dh1bVnI4XEjcY4vFD7eVz2e33Jj%20ogKoCVXf3m6pKSiLipt1+gT6YE9xrh029r0jtRZPG+Fy2t0pl4yG8tnC9XZz+quMtmPqG7uFr12J%207cDp9bWwKyAxX18duJCjAjceMyKAAAnogimBsYEDybmMChehxCiyrKzsO4sOtgNi4+YMohOue8mg%20EARU1UiTqqImq9MCCs/NPBoNfDnA+7MCZC/dOzHBO61BEthyXgdJraAn7dPqVddorgfVp5dooUso%208eusrMf20bpqRBZacacgKiqTwKTra+zbooEiEq/ShYHtv5IcavuGxaeA7aVXKW3pCS2UBFRkY6PN%20mCOuNKn1IRbh+n093TA+p/mDhcHkYUTrzpOrObqXZjYiTDU94dzcY/d3dyppqQtqA6+4kwPuo8pV%20FpyByjYq7YJLEx+vlSDhksZl9gUNO6+2pgIuCuoFr/zbdU1GLbOknFhvyQjuSjZAjGMxtV1xRTXY%20G8gHcvw1JMDnNd5/4fPfiRGIFmlhN7X20BxlkXyV2QcbbtV71A2TU019oprgS0fy/wAQkctTjLRu%20rJWW7XDL/S7Cy47auOtadzv+3RR3q1s3dEL0wIhvyRY2/PeMsUgvjxezWwadkvMsKxLKIKqjsZwX%20CfRBMVRdwCip1TAmYflSmmcgbp2a6wVp1Z6tW3aaWEQVZ9qW5vF1XEAHVRvUm01JU01wNbhPmnhv%20MLkamq+5CS9HOZDJ4G9j7DbnbIx7TjpN9eqC6gFp8MC+4DAYDAYETyXitFySv+xt4yPtiW9h4VUH%20mHU+l1h0dDaMfgQrgVJ205vwbcVuj3KuJtoZLasghWsRtFRU+5YBESSAjrq40iF06j8cC7VFzUXd%20c3YVcpqdAeTVt9kkMF0+HT4p8lwNW24dxG4cFy2pIFg4KaC5KisvEifJFcElwOZcP8F8VreS8jhX%20HHY9hUOOMyqKe820QgwQqhxdBQS3tuarqv1Io9dUwt1p0HjTxWx40kcqlcciq3JCZbRW3CeRFYkO%20G7DAh36IXZVoNE+OE3G1Z+MuEUPiYVDjUBu+kxGIkc5Eds3Gp9kQMN7iMSVe09I/kiZBNcw4bxaq%20oa3jlHTwoEi8mRa5w4sZoHvtxJHZDmoCKlsbZUlUunzy30xN8yRZ3JuJ8fEf0HJbtvNTdtEmqwRV%20sFFPqX7qQwafD24Fc5ByJrhPkx92K05Michh9+fVsH3ZTlizo1GKJH6kpPNJtc9BRBQiVNOqCC5P%20FkXPJYE3nFU1cWyICcS4FAd7va7iob8m1dVEb2Irbeqlq0m1URDVcgv1FwWY9Yxr/l8huxuoiktd%20Cjoo11ei9BSM0XU3EHorx+7+lBTplFzwGAwK3yzh79zMr7Sts3Ke7rEebizQabfFWpKCjrbjTn1I%20vbFU0JFRU/iihE8i8WtWz8GeFq41cxYhV0myfjRZSyYxmLi9xo20bRwXB3tmKJtXXVCRdMD2y8cW%20Unkp3MW/OIBUZ0KMJFaMkQtxDJ36iPcFwkLagIPTTTAxs+LpTPGeN1jfIJDVvxcSarrtthlDVkml%20YVs2SQwVOyqDr67kQvXA9Y8URofLXL6utHYrEx8J1pD7EZ05EtsUDuI+4BE0LqCndEETVfpUcKlu%20I8RsqGz5BLk3J2Ue7nFPaimw20kYiRA2CYKqmnbAB6/06+qrhFmwKXVeIuHVl3GuWGnTnQ51hZRy%20eITQHrRB+4QdR+nUEUP6V1+eBs1vj+PWcgdsq+ykxq9992a9TiLCslJfXVw+4ravIJF7tiHpr+Ht%20wIyF4jiQbupsYt5YBFpJMmVXVa/brHbSZvV9ro0JqC9xdupaimBVPF/BfIVJdxwuIEYoLseRHuLB%207tm+YGpuCEdxuQ4Sdx49zi9oN/qWpImB0HiPA2eMdtiHbz36qK12K+qkEyrEdrXVBFQaB09voO81%200T/bgWjAYDAYDAYDAplt4+cj2D95w2YlDdvl3JbWzuV80un/AHcdNPcqJp3W1E0+a+mNH1Q+Qxct%20A49ymEvHuSub/to7p9yLNBstvchStBFzVFQlbJBcHXqPxwPrytxW35JwybEo5bkG9jgb9U+2Sjq8%20jZtq2XuEVRxtwg1LoKqhflwIjkJx5/DuKcciQXq9nkL0OKVW832XmYbAfcSmjRdO2TbLJJ/H0wJX%20l4rY8w4lTbQNhqRIuJW73dITXaZFR/F2Uhoq/EPngezBWz8o1zOqlG4/XvTHEHogSppfbs7l+O5k%20HtEwKVyHnEoOdcinVH2rY1ceHUHyGe4CVUMCIpEk1cQkJ2TvdFpI7fXcg71TpiFUuvY8gjy2RaMP%20SP2HlrwVRcyuWGm5bTJpqycFhVB1gXTNwAEg2fQWmKR3fhPAON8MrVg0zBITpb5U18lekvmv5nXi%209xfgnonwTAsWAwGAwGAwGAwGAwGAwGAwGAwGAwGAwGAwGAwI6/49ScgrHau6htzoL31suprovwIS%20TQgJPgQqip8FwKekXnfCSU4pv8v4uhAP2ZqhXEQFXRVacXQZbYJ12lo5+JYEZXXkG28lVHIYdq9b%208YsGJESFF7e5K24FEEkcFAR5jux2nR0d6IWv9WBKx76njcu5Vym2mNQaioaj0zcx0tjRKyhSZHUv%20Uxde2aJ8sDm9Lc828nXN3YcXiuweKWryM/u8hTiLIjRWxbbbVwVJ3YjhPLtZRFLdoRhgdK4b4c4x%20x4wlSRS0sG3nJEYnWxCLFN0kMvsoiKTTHUE93U/8XXAsfNady54na1rI7pL8Y/tE10/zAJvYXVen%20R0RXrgffELpLzi9VboqqU2K06e5EFd6im/onT6tcDeiWlZMdfZiS2ZD0UtkltpwDJs/6TQVVRXp6%20LgbOAwGAwGAwGAwGAwGAwGAwGAwGAwGAwGAwGAwGBVOR+P4thNK5pZjvHuS7NiW0NBXuihb0CUwS%20K1IDX4GmvyVMCgwuGcep+RR//sqY/bTHJSyqydKjNxaFZsgtyq202bgDJVR9ZCpr/wBP44O3Y4cW%20HFjizDabYjpqQNtCggm9VJVRB6dVVVwM2AwOQN8nk8Z/9cG7gDVuU3CRmM8I6qDkmR2GT0TVV2q6%20K/HA+/DdbRByi/OnlRJlbVRolfVyK1NI5RnN7xd49XCeldwdXXCcXXX0HXA65gMBgMBgMBgMBgMB%20gMBgMBgMBgMBgMBgMBgMBgMDFKixZcZyNKZCRGeFQeYdFDAxXookJIqKi/JcCmlxPkXGF73DJKSK%20wVRXOMWDhKygIOm2FJXcbC/FAPcHy2pjdExxvmlTdvuwERyBdxgRyZTSx7Upoddu9BXo43r6OBqK%209OuBm5pdlScUtLRtdH48c/tfbu1fNNjA7fjq6QpgaFLwqGzwqjoJfcRKxIMhVEkQvuYTrclNVToq%20d5vqnxTAs4iIptFEFOq6Imideq4HuAwGAwGAwGAwGAwGAwGAwGAwGAwGAwGAwGAwGAwGAwIjkXE6%20PkDTQ2LCq/HMXIk1kiZksGKoSEy+Ci4C6p8FwObc64ryxX+PjyOW/wAg4TTSyn2L0NtQsSJkd0b7%20thn2SWgPqSsghei7eiljB1Omu6i7gN2FTManQnfofZJCFVT1Tp6KnyXA3cBgMBgMBgMBgMBgMBgM%20BgMBgMBgMBgMBgMBgMBgMBgMBgMCqXHAIrtg5c8flucfv3F3PS4yITEhVJFL7uKqo29u26b+h/4s%20Cx1yWCQWEsVaWfsT7lY+5GlP47N/u0/jgbGAwGAwGAwGAwGAwGAwGAwGAwGAwGAwGAwGAwGAwGAw%20GAwGAwGAwGAwGAwGAwGAwGAwGAwGAwP/2Q==" height="180" width="250" overflow="visible"> </image>
          </svg>
        </div>
      </div>
      <div class="fig"><span class="labelfig">FIGURE 5.&nbsp; </span><span class="textfig">Analytic model of Swick-Perumpral (<span class="tooltip"><a href="#B22">Isavi, 2015</a><span class="tooltip-content">ISAVI, S.: “Assessment of some of models for predicting soil forces On narrow tillage tools”, En: <i>International Conference on Research in Science and Technology</i>, Kuala Lumpur, Malaysia, 2015.</span></span>).</span></div>
      <p>It is observed (<span class="tooltip"><a href="#f6">Figure 6</a></span>)
        that, in the superior diagram (of soil surface) the soil flaw of the 
        model in finite elements of soil, acquires a similar form to Swick 
        Perumpral's analytical model up to 0,6 m of trajectory through the soil 
        block and is removed by the farming tool.</p>
      <div id="f6" class="fig">
        <div class="zoom">
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iWAgCAIAg%20CAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAsd+/wDQ9x/8tWy/wypsf+5H+ZfmYlsfnAv0Ycg6%20V8u+r+a+zNqbVN2AI9w5ryHvT9H9pPj/ADHuNfHDohAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQ%20BAEAQBAck+aLV/Ki4bV/m7d9LZeLN+C9D7Wa/wA6FSG/8p4tX3A5p6S+TYfj9TknhbMP77r5P77/%20AFMfgX8V6UPTa8MWQgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCA031gH/663nF%20vwJfUVf4tVyYfzI1nszwEMl99jsjlHZvlWb+ZHD9xJnz92WS8F77/tQ+JbxVq9T2SvmBcCAIAgCA%20IAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgOD/N83+htpy/8AUB/wpr3HsT9VP+T96K2VsjyS%20vqpRPXPyjt/orc//ADYf+4vkHvT9Z9h0Mfu7dduh3VeRJwgCAIAgCAIAgCAIAgCAIAgCAIAgCAIA%20gCAIAgCAIAgCAx/UOr+A7lpAJ+FrYSLD92eIU2N/dj/MvzMPY/OJfow5B0n5eG/mxsrt782ckH3J%20Zc15H3p+ifxJ8f5j3IvjZ0QgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgOR/NJp/lRcPp%20/wA5btqJGLyybivRe1f10CK/8p4uX2+pzD0j8m+n4nqf7zWz93jXyj32n/kR+BfxX6T04vClkIAg%20CAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgNN9YB/+u95/wJfUV0OLX/6YfzI1nszw%20GMl98jsco7L8q3/cc5/uJO2WUs14L33T6UPiy1ixbbZ7JXzAuhAEAQBAEAQBAEAQBAEAQBAEAQBA%20EAQBAEAQBAEAQBAEAQHB/m9B/wBEbUXLfHjDh+7kvb+xP1U/5P3lbK+VfE8kr6sUT1z8o/8A0TuX%20/mx/sL5B70/WfYX8aNI7ndV5EsBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEBY79/6H%20uP8A5atlj/uypsf+5H+ZfmYlsfnAv0Ycg6V8u7/zY2Zn9+bsH+xLM8F5D3p+j+0nx/mPca+OHRCA%20IDX+p+uunOnKMp7hcjzY/wD41MiVUuH910oynk59qz8z18OppnT/AMwfSV/eC13GM9tlUJ8qrVDU%209ILeORPhVu3g3ZRcqbFTG5aM21LQ6bZ3lpeW8Lm0rQr0KgeFWmRKJHYQq0ouLo9GdWMlJVRMtTYI%20AgCAIAgCAIAgCAIAgCAIAgCAIAgCAIDknzRP/Km4bV/m7d9IB+9m/Bei9rfroEN/5Txavt9TmnpL%205Nv3/VGIytXHH7a+T++/1Mfh/Av42x6bXhiyEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBA%20EAQBAEAQGm+sAJ9O95/wJfUVf4tVyYfzI1nszwGMl99jsco7L8qzfzI4P5EmfP3ZZLwXvv8AtQ+J%20Zxtz2SvmBeCAID5OcIRM5kRjEOScgEMpVLXb932zcYTnY3NO4jA6ZmmXY8lrGSlqg1Qu1sYCAIAg%20CAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCA4P8AN8R/ofaRg53AMOP7qS9x7E/VT/k/eitlbI8kr6qU%20T1z8o/8A0TuX/mx/sL5B70/WfYXsbt7dDuq8iWQgMN1L1h0903a/EbveU7YEEwpyI1zbhEcVLasS%20uOkUQX8mFtas4T1p8yO7Vqmnpuh8NbU5vGtUD1KgBylEuACu3j8Qq+pnGvcpKTpDRGa6I+ZvbbyU%20bPqezlY3GAFzSGqljkZmRDOo8nh3FVg6luxyK0UvvO07VvG2braxutvuYXNCQBE6ZBGK407bi6M6%20ULkZfK6l4tDcIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgMf1DGMth3KMsja1nxI/3Z4hTYzpdj/M%20vzMN0R+cS/RhyDony/XNKj6tbAJgk1asoQIORNORXlPeUG8KT8Caw/Ue6SQA5yXxg6Rr/UPXfTOw%20wkb68h5kQ/kwIlM+x1rbkpvRlTIzrVlep6+HU5J1b6+bjc0q1HYLfyaLEfEHxVSOYgQunYwHKnfo%20jzmXzc5vth6Ucpu7m/3KrKvcVqlWrM6pzm8if1ccl0lat2vA4krmtZavzPkNvtZQBkX1feD5d6pZ%20HMxt6N0I/qzrRI2TpnqfqvY6kam0VqlOn9qjU8VMgcAJOA/YvKZvuO03pqzrYUcuGsTs/S3q/aXo%20hQ3mh8FcEAGpE6qZPMnBlUx+ftSdJ+k9djXZSVJKjOhW11bXVIVrerGrSllOBBH0Lu27kZqsXVFl%20olW4CAIAgCAIAgCAIAgCAIAgCAIAgCAIDkfzRt/Ki4dv83b5luMuS9F7V/XQIr/yni5fbzmHpL5N%20x/zHU5fhbYf318n99/qY/Av42x6bXhiyEAQBAEAQGq9Y+o/T3TFCfxE5XV9H3bC2AnWP9lxgobt+%20EPmdGSQtOWr0j4kPSvqp0l1DGEKVyLW9mdPwdwRCoZHgATit43FJ6ECuwc3BNNo3Bbm4QBAEAQBA%20EAQBAEAQBAEAQBAEAQBAEAQBAEBpvrB/263n/Al9RV/jP1MP5kaz2Z4DGS++x2OUdm+Vb/uMfE34%20EsOeEl4P35/at/FlrFpVnshfLy6JSEQ5LAZkoDUuq/Uvp3YKUoGtG5vn0xtqREiJfrclVnlRWirJ%20+CK2TlQsx7pPQ5H1T6jbpv8ATqUbit5NjKWNpRLAhuMg0lpDHvXX3TfbFHHue4YLS2qyNO2646h2%20i/FztNxVtajOBAmUXfMiWDrof52Ha9LoUFnZd24nFPuOsdNetla2EbXqSiZSAwuaQeRHOQwC4k+b%20s91I7Hp+PhkXI1nH7jpuw9UbDv1DztqvKd1EB5RhIGUeyQ4LqwuRls6l25alB0kqGVW5GEAQBAEA%20QBAEAQBAEAQBAEAQBAEAQBAEAQHB/m+/6G2r/wBwH/CmvcexP1U/5P3orZWyPJK+qlE9O/Kl1btO%2039Mb1bbpfUrby7uBoxqER8Jp4tzxXyb3vGP+XGm7jqW4X427fdNpI65vfrB0LtNKU538bkj7Nu1Q%20/WvKWsSc9kRXOVsxWj7vgcj6r+ZbdLvXQ6dt/hIwLSuJjVIg/qkELr2eJivm1Odf5O5JUj6Tkm57%20lve83Zutwr1LyvUMiJyJOky5RyXXhCMNEcy5eq22z7b7TUn45Rk2AlhiTHsWs76RUnkpaGSpbPTd%20zECMhjxP0qrLKZUllMzux7nuuxXFK42q7qW06fAEyie+JwVS7JSTrqLefcg6pnXemvXWmTTob9bm%20PA3NLxO/ExwAXIvWKbHocL3EnpdX2o6htW+7Ru1LzNuuqdzEe95cgSO9lWPS2b8LirB1L9CUIAgC%20AIAgCAIAgCAIAgCAIAgCAIAgCAx/UMtOw7jJiWta2AGo/uzwU2Mq3Y/zL8zDWh+cS/RhyDI9Obrf%20bT1BYbjYVPKu7arqpVM2Okg/QV5P3pNw4+clujq8LZV3KhB7NnXqfql1FcA0Z39adOQ1SGqUdIy9%20518VwMezNVnOsvur9nQ6XuPh8y0l9GOu2muhi7o3d7ciqK86o+0ZkzJP7RyVxcti4yce1HzeXHZT%20q5wk5F7ZbZQqaj5xpk56gzFUM33XGK9Kq0Wsfgb9xepdv2GRpWVlTm/mAkERwLAvxXlsz3BfufLp%20Xc6+N7W7dZeonjPbYYNHDsBXDu3btx1bZ3LfBxgtkXEa9uzDAAfQq7gy1/6+ipQq8MhpiHYgkZZp%20QzDHUET2G/dQbPXFawu6kJQL+WSZU25aTgr+JnXLLrFlrshNUZ0npj1stK5hbb7QNtVbG4p+KBPa%20AAy9Pi85CSpc0ZWvYLWsdjpVhue37hRjWs7iFenICQMJCTA82Xat3Yz+V1KEotOjLlSGAgCAIAgC%20AIAgCAIAgCAIAgCAIDknzRP/ACouGf8AzdvkNX3l6L2t+ugQ3/lPFq+4HNPR/wAnFSlG86lgZgVZ%20xtzGBOJA1ZBfJ/ff6iPwL+Lsenl4UshAEAQGv79170rskZi8vqZuIHT8LTkJ1jIcBB3UVy/CGjep%20uodXovM5Z1V62X11Crb7e2225ifx6jeYR3HJc2WTkXn2WYP4lLJ5C3Z29TOYVr2jUnUuBVlcVq2M%207kyMiTyBK6NrgJtqV1+pHmeS569ddI6L8jFbls9xdwBjcypTAwqQ8Eh26gxXbx71jHVZJM5OLnO1%20LuS1Nz6D9Q+vOlIxta18d722HuULgCMwP8TxSK5ufyuG6uFIy+P4Hes87N0rbZ3HpT1U6b32jAVZ%20nb7zKdC4aA1HKMZE4uuda5GzN0TPQ2L/ANSNaNfE3KMoyiJRLxOIIV4nPqAIAgCAIAgCAIAgCAIA%20gCAIAgCAIAgCA031g/7dbz/gS+oq/wAX+pt/zL8zWezPAa+/I5R0v5dru3s/VPbry5qCja0KNzKt%20VkWjEeTJn7+C8V75klip+ZZxY1nRb/md73j5irWvOVv0xtlW8qYgXFxE06f7USNTr4/dvtQ7oLv+%20B0s+KwqfX0b2j1Zom7eo/Wu5HTuFxVhGWBp04CMY4+68WWLWM8iDlOUe3pFPU4GVyd+q+jbdPPr5%20mK8m3rSnUr1vIrTkSYVT48s8cVFPMsYqTtr95yrPD5WbJyk6N9Cyut42exiIGoJVaZ8BBfV3jkuT%20k8pfvP0aRPX8f7JnWsoa9fIxd36g1JVP+XoCMMnJxbmubLj+990nqe4xva6hHWhhZ9Q7pWJqeaxj%20jKngdQVhYttaUPQ2eEtfTfih0x1Xv3T2+Q3Xb60qVxTlqlTfwSGZjKOWKv2rrt/KaZHEW78Hbkqe%20HkexPTL1CsOt+no7hRAp3lEinfWwLmnPFv7wDrt2rqmqo+cchgTxbnZL7Db1IUQgCAIAgCAIAgCA%20IAgCAIAgCAIAgCAIAgODfN6YHonagCDON+5D4geVLFl7f2J+qn/J+8rZS9KPJS+rFE3T04NrP4u3%20rTNM1KkdMuHu5L4n/wDRsudjMhKK7vT+86uP7befjyurX6b2NnrdLkVqtx53n0iHMI5huziuDj+7%208eij29rPN5vEXbUV2akVLYLUavw6mIxcEK9//wBTZklRo4lyOSt4suaVna04jVEtEsZjBlHPnoP5%20ZIozlcrqXGsRZgRSJYS5hQvk09vzIex/aVicgSBAmWcSeQxdk/zG0jWh9ExMuQZzk5MQG9uCkd5t%20UrTbUxSh80gw1AkkHxYYAcFJu9zNS627c9y2utC5264qUJgu8SRHVybIqB2fsZPYyp2pVi6HTumP%20XO8oNQ6hoebEe9c0h4wP2AFH9KVP4Ho8T3E9rir5nVOn+rNh3+3jW265jUMg/kyIFQd8HcLSSa3P%20R4+bavfI6mYWC0EAQBAEAQBAEAQBAEAQBAEAQBAEBY79/wCh7j/5atxb/dlTY/8Acj/MvzMS2Pzg%20X6MOQTWJhG9oTmQIxk5fuZeX9448rvHXIx3odfgb0bWZblP5e424yYmFPBw8jkF+bdVqff59r9KR%20TG4rweIqTi+LCRDLPanrQoXMa03SUV92xcT3G7kY660vCRkVErcfAjXEY1dYn2N7fSyrEc3WFah1%20RquCsPZULu13evGrGNT7GEQThIHPHmobmMqVRwM/ipWa11j4mwWF9OpBxIyxxMgw7h3Ln3LSqcC/%20b7TOWhc+IsCx9veqMihdVKURfTlT8uI0tIPrk+b5YKHqc+dxRIJRon3ohsQeS2TZAs5rSpd7Vut3%20tVeFfb7mdGUMYxEjoPfHIqe1k3bbrF0NpZ8Zb6nRunfWMSqRob3SYHAXVIOCeLwGS9Lhc/0vff8A%206ETcXtodG2zedt3OiK1lXhVieAIcd4XorGRC6qxdTRMvVOZCAIAgCAIAgCAIAgCAIAgCA5b8ye13%20G4eld9CjIQNvWpXMySzwpajILu+27yt5sGyO6qxZ4k4YL7pWqqjlnUfly6wodO+o1tTu5CFpucTb%20zkS34kg1P6SvA++MHvtxurdblrGarqe3F8sLwQBAecPVP1H64q9U3+y05S27bLGpKFOlANO4gMBU%20FQNIArn3cqH1Oyb7F4norPFuWL9Sy+64/wADnl6Lq7hCra3Ro1wS5qjzZ62xlqliVHi5eLjT/qL6%20vnX9qHksnhM+4n9SD36Mp2+wnO3NLeLwV6cvC7ASMs8eQXVve5bNtJ2Y0ZzrXtzJlJ1hKHhuzK0L%20XYLEtTrNCGUXeLd64GX7kvXfkjqy5D2fdnLunXfahP8AxHbKWcXOkybMO+S87cu37jq5HYse1YQ/%202v7UT0912+ctEGwkAO0EPgqUsea1Za/9RBLYSvo1ADCAZ31jMtyPNI23F7ksMGMTIbP6g9Y9PXIl%20Y3pr2tQgysrjxRk2QFSTmHsXfwuXnBJS1SLLxLco+pa+K/gdL6W+YHp6/qxtN9oy2i7kWjMvO3wz%20eqdIC9DYz7dzZ6lK9xdyOsfUvx+46haXtpeW8bi0rQr0Jh4VachKJHYQrqZzWqOjJkMBAEAQBAEA%20QBAEAQBAEAQBAEAQBAab6wf9ut5/wJfUVf4v9Tb/AJl+ZrPZngNffVsco3n0aFhLrWNLcJxhaTtL%20vVqLPIUJGH/8l4j36n/heVTocY2r8XHeqIrS+vbXy/KrSBgCQ2cXDYhfCLeROFe10qfbcrirGR2/%20ViptdaaoT3fcCS9ec+0n6WWlW9diFcVjR0UEy2uLy6qz8yrVnKbMCScFhRWxvDDtW1pFL7CGTyJL%20ue1bIm7V0PsIOWZyjZvCGpcUabSDH3on61HJlyzCj+KK5UzkQ41DvZapkkrfTpUy/TPVvUXSt6b3%20p+6NtUnhWhICUZjtjJwrFnIlA5HJ8NZyoqq2+89D9AfMP09vMadn1A21biR+9mf+XlpwMjUOkRJ5%20LsWsuE/I+c8l7ev49ZJd0PLc6pY7vtW4R1WN3Ruos70ZxmG5+ElWU0zguLW5drJgIAgCAIAgCAIA%20gCAIAgCAIAgCAIDXPUHqKnsHSl9fkGVaNMihTiWlKZyZlFevK3GrZaw7SncSk6R6s8gdS9R9Tbps%201zDdKdW7rVXlGpUJPl456C7YLf23ZuW+RtXXN27ddXXSnh/odrkY4ztSVqSlNLRHNJAgkHMZr9Hp%201R4VozfS1zoup0MhMan/AFhgvkv/ANJ4990L622Z9C9gZvbdnYe0lX7TcLDc7ixrQlCoTSnUBqCR%20f8j/AFL5Ffx4zT01PX85xFiVp3IpKUTdbS7jWjOjVIGtpQ8OJw4LhXLXbqj5zk4UN0iWpZ0pic6d%20IeVFtdLMnmVDVrqcC/hwS6fcYq6thCNSrSOmEAQInxe9yBV2xkS2rueczsGC20LKAmItjKZiDGQL%20sF6LCuto8/NIlgfD4ZPGLE8C5zC71n8ysyuI94h4gkaY5g48T2K/CPTyNWVknzJGY1RiXmI5B+OC%20tRjXY16aFEpwEpjGb+5PI963VrTTQ2SZXa3t1aVPNta9ShUH2qcjE/QtHY8iS3dlB1i6M6N0z64b%20pt0Kdvu9P4yhECEao8MxjnIsXVd4VT0GH7gux0mu5ft951vp/rfpzfqcTY3cDUkP3MiIz9gKpStS%20W6PT43IWby9L+x7meUZdCAIAgCAIAgCAIAgCAIAgCAgvryjZWda6rFqdGBnL2B1rKSiqvY2jGroe%20fuovWPqfdrivbWcqe37bX10RCpETnKEgQ74NgVUd6/RXLcfStf4FK/yVtXPo2l3T2b6eZ5w6l2C4%202fcJ0ZRl8PIvb1SC0o8PavuXtH3NHk8dOVFfjpOPn4/Axl4jtPxizEkOGXqL1pXIOL2aKsXR1Nk2%2029FzRiXHmU/DMc+1fmr3HwzwMhw3g9Ys+3e2+XWbYTr/AFIaS8/MuZl5Fu5cKOiO1d9UnT4EkMQQ%20Mxio2WobU8CujImZHA4shJab7n4E9GnruAW1CAZv1jktZypE4fP3VRRrqbVtlvPTHzBpkcZR+zhl%20guPen4HiL8kbFaUwKZJGEshyZc+ctTkZFz1EtSqTARIDRcktitEjjX7tP3mMvL6UIHThiMOz+tWr%20VpNnFycpRWmxi6m5XcptRDGLs+DcwQunZ49zWxxLnJNPRk0L+68lphgWJlHBirD4aXzCHMyWjLvb%20up96227jc2dadExOMISIi3Als1vb427afpdGSLm5Jp/gdL6X9eLqnUjbdQWuukZML2lhpj2wAJK7%20uPfuqiuL7S/Z9xW38yOtbJ1Jsu928a+23UK0ZB9AIEwO2HvBdBM7tjKt3VWDqZJZLAQBAEAQBAEA%20QBAEAQBAWG/7Nab3s17tN2Ht72jOjUwdhOJDjtDqSzdduakt0zElVHgj1F6D3Tonqe52a+j+HE67%20SuPdqUpYwY8SBmvuHAcvDMsKX+5aNHNu2+1mtUqtWjWp16UjCtRnGpSmM4ziXiR3FdXLxYX7bhJa%20M0i6M9oegXrDb9a7KNs3CYp9Q7dCMa8Cf30AGjUi/vHw+Lkvh3NcTcwrzjJeh7M6Vu4pLzOtrjkg%20QHCfmGsrKG8bLd05D4ysZU60BgfLjEkEnvXE5iEe3u6nsfas5vujT0nJa8o6/DkOLMvOnq5PzKBo%20ngRi2D81k07qkbwcAxHaCMEVdzXu1LvyxGtCEoAvIHVwI7lq3oTqNJUZVd2sdJqUotUGOHLsWIT8%20SPKw4Ti6LUpsbmoZyicPtlg+EcwB2petqh5S5BIzFvQjWgZGJOIAHIyyl7FSlKjKM5uLp8Setstt%20VGiYjKn9yURIPxOK0jkNarciWW0TbLe9SbBdivtF9UozHuW85GdAgfqE6Yrq43M3LfWqEr1u4qSX%2027P/AFOn9L+uEZyja9TWUrOphGF3S/EhORweQAGgL0eLzNm5RN0ZRvYiSrF18jp9jue339IVbO4p%203ECHenISbvYrqxkpKqdSnKDjui5WxqEAQBAEAQBAEAQBAEAQBAEAQHOvWHqfp6PSG6bVK9hLcK9C%20YpW1IipUMgDhpBdT4OVC3k2+5/7l+ZJ/jzlFtLxPC5jKJMZAiQwIOBBX6Fi6o4hLZXNS2uqdeEjG%20UTjIcjgfoXI57B/ysSdvq1oXOPynYvRuLozZrirT1xqUJOJB4lswV+Z7mPO1JwmqSifellRuxjdt%20v5lUhicWOfBYZpF66g58wM1gPc+sDlghtoyqlHTMSHPjksN6G9uNHUuaYxfBm4F27FGy7bWpItSU%20jrtpxGBzkMwtokN7bU+Wu3VbuURwJ8IOLjt5LaVxQVTzebnpela0NgtNr3O3lIWm53NmwAiaNacB%203eEhV/8A2MlscC5lRfzRi6+SNh6e6y9TOnah+A3adegCNcbofEOOOMyWdXLfNUpXUpXsXGudO1m9%20WnzD9Y0qkPi9hpV6UQ1QxriEj+sBpP5FZjzVsoS4qFNJanSOj/WHpPqOMKZqmwvS4lQuR5YcfdlJ%20tS6dnKt3Nmjm38KdvzRvMZRlESiXiQ4IyIKsFM+oAgCAIAgCAIAgCAIAgCAIDjXzB9X21pZWuz0Z%20Rld6vOrggSEabED2uFZsccsindscLls+UGrcHq9/4HC7Le/PqmV1EylMtI8DHtC6+ZhJW+1Jdp59%20XLtq4rkJPuWpVfenez7iJ3VrM0pTzpvkea40Pe3IcZS33K5br11dP5j3XGZVjOh33FSSWtP4GBo+%20nW42d+DcV/KpA6qNWA16m5gZK7zH/wBIhnYrtRtUk96v8jtcfx8LFxXY3KuL0VKft8DO0enasKsa%20lWuJinjGIhhq4EhfOpZlVSh6vK52d2HbKNEbXtthUhEUsNRnEwkcSQcwOS5V66m6nl8rIj46IuK2%20iD/iGJ8UZgcDwD9qgbqcHJvLbx/apiL2uKkSSzRaJjEgFlcxbHdKh5nPyUo9qepYxEYOADB/dL5A%20/WvW4eO4R8zzNyVdETadMI5Gm5Y5E/oXbs26aLwIKkoiNYiR4CDKMNWQbmr8I6eZpUilVmRyDMQM%20HA5q0raRt2lrO5k50RwiHk+GCnUF1J4211LY1wDqnIl8w+kAqXtJuzoij4+Qdy+vMEP7E+mZ+iiq%20luNahVFW2rToVo/apSMS/YyO2mbwi4uqOidLev3UW1Tjb7pAbnaxAiMoTHbqx1Kjd4yLVVodzG5e%205Ber1I7T0p6n9IdS04/A3kaddvFb1/w5vxAEmdcu9h3Le6PQY+bburR6m1qqWwgCAIAgCAIAgCAI%20AgBIAc4AIDjvrD6i2/lT2DbqwI//ADa0S+WUIkdoxWn0JXpdqVY9Tgcnyqh/Th83icRF5Uq14iVM%20Tm7xLOO5ejnFWbVV0PLwjJT7ot1+JN1ZtlfeNqjbSjonSeUTIaiCB95eJwudWByUciCp0kujX7z6%20Vwtb+O7VzSXj4M49Upzp1JU5hpRLEFfp3CzLeTZjdtusJqqOVfsStTcJKkkVW9xUt68a0CcPejwI%205Lje4/b9vkbLi/n6Mu8TydzDvK5D7V4my2lxTuaXmUsYnMcQV+eOSwLmJddq4qSR9r4nOt5dv6lv%20br8S4olpHgT9aoSOpjtVfRsktaNerVEaUXMjp1HIErWUlFVZQyuUhYr1kbHtG2wpxEyNVUnAHgRx%20K5uRfcn5Hjc3Mlck3JmzWVqREAjEFzLn2LmXZnCyL1PtL2pMRjyAzPIKBKpxci/2rQxm4XggIgYP%20i4P5HVuxaqcDKye34mLq/EfEjVJwQJMMRzC72FhKVG0eYycutUiqAeRf95m5zx+teis4+iojmt/c%20SRg2MjqJDHl+RdG3Y6GrZ98IwADDgp44ye5g+GUVKsRdEZoT7fuN7t1wLiwuKlrWGJnSkYE97Zo8%20XrShLavztusXRnT+mPXO9oSjQ32iK9PCIr0vCYjnIY6lBLEa2PSYXuJr03VXzOr7H1VsO90RV267%20hVB+wfDP+6cVBK1KO6PTY+ZavKsHUyyjLIQBAEAQBAEAQBAEAQGmeqXpntHXnT1Xb7mMaV9Dx2d6%20IjXCYyD56ScwujxnJ3MO6rkdluvE0nBSVDw/1d0hvnSe9Vtp3ihKjXpE6Jt4KkeEoHIr7ZxfLWsy%2013xfxXgc6dtxdDJ9E7Pv1K6G8WFzW224tfxLWtDVHXKOIiQGeMsivAe+fctiMoY9pRu3G/V17F/H%208jpYFm16ndl2U2T6nq30e9abXrC3G1bxD4Dqe2GmvbzGiFZvt0nYF/ujJeOy8P6VHGSlGm6M98W9%20DqapGTgPzBmmOqNsabzNHx0292PiaT9pwXC5hLxPa+12/py8DlNaUTMRjgAMs8VwD0UnVnyOMzDJ%208RxYrNDVPUpYhicRn/UhgvtJqCJJaMcc8ux1G9C4vV9hPUqRpU5VJPpgHLYllqlV0J20lVlrt1PV%20PU7iR1wEc8OZ4dy2vumh4nKuVbZs1lRNOmJAgGQOsZvyXMuyqzi3510RLOf5OKjSOTfyC2neRhOM%20cSTx4YKVWm1U58s1rXwKDudCR8uoMDmDiOxbfQl0I485FOj3L3aN9vNlrGttV1K3qkuYl5U37YZK%203Yy79tqjdF0LT5SDWrqdD2D1yhDRR3+l4peH4ijHAkZyMRkvTYfNKSpcVPP/AEI3yFpddDpuz9Qb%20NvNvGvt13TuISD6YyGoftRzC7ULsZbMtQuRkqp1MgpDcIAgCAIAgCAIAgCAIAgOU+sXqLd7cI9Ob%20H4727jIX91CWNvSIyH68wSx4Kll5Hau2LXeyZNWou5LdbLxZxOUCBGtRp1J3VmDOnc1iatQ4PLWT%20jLUyruw7EO+arN61r933HAwuezLuS1FL6UtJR/gzS/UHoTdNstrXqaEfO2ndyZmvAYU65xqU5Ae5%20jLB19t9n+4Vl2I27j/qpfejoZ2Mrc/T8r/A0de1KJktsvhGPw9Tn+HMnLsXyn3v7X7m8m0teqPbe%201+f+i1YuP0N6PwMrSEjJhi+Z7O9fJJKm59Ns1k9NaiWkyOkuywjaVG9ACf60MpkkeDHDM4YBaskj%200LmmRpw9uDKNl221QqWCQktLKpe1YhiKUS5PNlidxQVep5jluUXyQNpsbCAAp0o5BhLi5XMu3Xuz%20yN675mcs9uiQ8TEyAc6gw8Oeao3Lpzb2RTcvI0aUICc6YlTqAgRBALjIkKFyb2Ofdy+iepH5VMDG%20MR2st9SH/wBjrrUpqxsZyEhThGUQzljLUOIKzBzWzIXyq8TZunPUXftllCjC6+JtQB+DWOqTDhGU%20sl2MXmb1qlfVH9upXebGT6HTenvVjprdJQoXNT4K8kA8KnuHumWC9PicpavJa0l4GP8AJh4m6U6t%20OrAVKU4zhLGM4kEHuIXRJ06lSGQgCAIAgCAIAgCAIDTfUX1I2npHbamqYq7pUi1raxOJJ4yPADtV%20vGxZXH/1KGdmxsx/7M8mdQ7/AH+77jUuryrKrXuJE1JFzjn+Reox7CgtDyusm5y3Gz0ZSmBOBcFo%20TPuv2haZUtGVMqVFozZrS5NtVdvw/tYOB7F4XmcKNxNJGOOy5WpUXXzoZKheW9QfizEXwIIyieLL%20wE4Si6UPdY/L1Xl8diUVbSMZTjETMoHUIhtPInmtO6Wxalyb3qU1byIjEUQIRm0o4gyBj28AkYSk%206FC/nxo23tuYq63CpU/ApjxE/iSJwJfBdHG4+Umeey+T8Ni2iNdX8SIJA0kxwZuK9HiYCSVN0cK5%20devmSQBeR1a5DCLh3C7tqxSn4lZsrAEAKkQNJcMcceOCvwtdGa76FHmMJRw8fPPDkrkYUNqFpVrm%20MjKOLYEPw4EKeMfEmjCpZVK4diZPp8ROKnUfuLMYFvKrgBNpB2lh9K3UfAlUfAg1mJHGQDS/a5v3%20LehvSpHObDUcNGD8VsjZI+GtEjS/aDyWe0z2n2ldzpVY1KM5UalMYVAfH/ZkMlhwRsk1qdD6N9du%20rdgEKN/M7pt7jCoXrAD9cuufkcbbltozqY/JTg6PU7l0d6xdHdTQjCncxtL0+9bVzpb+0WBXHv8A%20H3Leu6O5ZzbdzZm8xlGURKJBicQRiCqJbTPqAIAgCAIAgCAIDk3qn6pfBipsmyVYm4IMby5BfQMj%20GPatLT+rJxjuee5jlHaXZD5mcJrSNaYiZuJkkz4k8XXocXHVqPpPJJ0q3uT2VtKjKBpyxjm/JUOV%20ze2L2qb2nK5OiRnKg86zaYlGR+yDn3svlGRfc7rk9z6jw8nReJz7qjpWNxOVe3p6KoxmRkexl9A9%20p+973G/05euz4fw8DvZPHWspavtn4/xNTuOndype7A1CA8gBkvrGD/8ASOPvL+pW18dfyRxMj25f%20jTsamvu/Mvdq2HeqNeMqQDSPjpvmvGe7/c/F50PTBu4tp7ff4o73t/HycGff39sOsfE2Oz6fuKlQ%20TqSAps4DceTL5jcy4qNEtT02VzTlXs0qbBtuyCnCMYwDu4k2APZyXOvZNXqzz97L6meoWMKUHlF5%20HA8wFQndbOTeyvB6FxUqxhB3wiM+wKOMW2ce9kroY68voRABLCUScePeFas2W3ocHKy0vIw4nUrS%20kZRBjkAeHavRYmD1Z5nIy3IrjEt4MY5SGXtC9FZsHPb8SYABuJjkeK6Vu15EdQXxLO2at24aafeZ%20FQANpmJAgEsGY8lZhFBEFWtGmMnJ4AqWKqSwhUt53k8wQx4NkplaJFaRDLcWDxOALAHN+RW6skis%20k9lv97Y3IubO5nQuIFxKmTFu9lpLGT06MktqUNY6M6b0l8wm6WQja9QUBe0gwjdUvBJuZBd1Rv8A%20F1VYaPwO/iczOOk9V+K/ido6c616b6htxW2y9hUyBpyOmYPLTJiuRcsyg6SR6CzlW7irFmcURYCA%20IAgCAIAgCAIAgOMev1x0tutvQ2SraU7zeKU41RcBtdvEES0ks/4nJQT5y7htxsypOelP2/ZGXK3C%20LnM4xe7rO1u6VsYGIYDwQJhADIYYYq/g8TF2ncpSb3ruzx2bBZV7u7/ItutrXcrOzs9922rO2vLS%20YqwrRJjUjqb7WGHYoPa+VbfJSxry9E9F4V8T12NZmsVx3lHqdx9DvXmx6utaezb5UjbdRUYiLy8M%20K4A96JOD9i7fN8JcwrjTVYPZmlu8pfE031ts69r1/WlWuzc/EW8alOnLOjEyLQzyXguarVH0H2/c%20jKxRKlPxOfwP4jhcV7HWhRzbRWNMK5L+EHwjmhtH5nXQq0EzlyBcngyMzF1bLmhpMzIt5ZDMT+Za%20TZasrUjqTq3VU0qEmpRieHvHk/BZVIKrOTyefGnZEzu32miMKgpYODqiQMRzHFc+7cr1PK371K67%20GQkYxDRAAxOGCrbnEyL9DH3V2HlCnJjEjW4z7Fat2/Lc4OTkpKrMPcVfMplpy0a8REuXfDJdnEwp%20SdadDzWTmTm9ND55Q8wajIzqBhyDfUu5YwEorQ5juyevgSeWTHyyZCMWIqA4nsVxcdb3p6jP+RLe%20p9JlrkA+lvCXzPJbvioU28jX6r8Sfbr2/wBvqxubC4qWNd9R8mRgCf1m95R/+scH6XRlm1yFy2/S%20zpfSvrrudpCNDqO3FzTi0fi6PhIj96UfEZKeMbqfq1iejw/cMXpc3/bQ6xsXWnTe90xOwvacyf8A%20dyIhJ+Wk4qROqqd+xlW7qrFmbWSwEAQBAEAQBAEAQGg+onqXb7HTO2bVKNxvdUNEODCkD9qZyccl%20Qzs6Nlf9nsiVRUY98vlOD3N3V+KrV5VZVrm4Jld1pu5meT8AclFx2I+53r1JV/A8ZzfKynJpPToW%209asfgbyrTrmMfKlGcwCGkQR9aj5XlFVW7dJLz6fA6Htjj5Ocbilu9TuHp70jsu/+kFrsu5UPNtLu%20BlV1ESJqEA+YD34hdrAyJWO2dt9skeoz1W7JM8u+rXpLu/QO9GlPVc7TXJlZ3ojgz+5L9YL7N7e5%20+GbCkmldW6OJdtOPwNBXpJRTVHqiEzW0bo8Y2lUASc+XV9mUl8f95+z5KUsmwvT/ALl/A+ie1Pci%20g1YvPf5ZdF8S8MJAkD2lfL3pue/UfArjESycGIxHMrVsljFP4oQwmxcE5xdkZiG9CanViJEYmJ90%20n6lo4lmF5Rbr8pfWNjWvKg0gxpjESODsorlxQWpxeU5ZJOEH9ps+3bZGIIpu0mdzxC5l6/Xc8dfy%20PE2C1sAIaR78YEkg6cOPtVC5cOVev0+8uKhjKMJuNTNKIDM2APtUcUcm7kNPR+Ja3N3ToAEnMgPn%20mpowb2ORfykjFXG41pznCAeL5g8Vex8Jz2PP5XIurVdC21gSNTVIyyIJfHsC71ji4vShyrmTck0z%207pkTHTqlIY4nJ1e/9RbknpSpo8q51ZUaNTHAzAHhc5Hs5LK4WD2RhZs6Jd1KGxdOdedY9PT/AOSu%20jVoEB7e4JqRAfERBPhVm3hXLez7vIv4nNTtaVqdf6Z9bOn9zqC33GnLbbgyEIGZ1wmeeoBo+1WaS%20Wktz0+HzNm9RP0yfT/U6FQuLe4pipQqwq0zlOEhIflCydZNPYkQyEAQBAEAQBAa9131JX6f6duNw%20t6Pn14jTTg4ABOD48lZxMZ3pqCOfyWZ/j2u48edS9SXm57lXutxrTq3U8ZTk+GOUX4L1lvEdvRqh%205ek7r75OrZY29CdYjThE4kqSUqGk5KJn7Ch4DEksMAOIPNc2/I5l6epfmAwAmwkPGQDh3rhZVutS%20smRTEzCROIMg8/tO2XcuDkcdCU23uT27rjoivXV8caRlCGliCcW4qkuHj1ZZ/wA6VKMpjpjKWkTE%20TFmJxy+pW7HGxjruyF5M+jPoh4I64+FjpIzJ7V07eHV0pQrub8SXSYuXEJAAAR4gq/asKmm1TSp9%20JlECYaIOAbsVqFpUpvqYIpSYOchmrkYJfE3SLOtclgYtIOQJMp429dSeFvxLSc4RMWHepVuWIplt%20OpPESyBcj9XIfSpFH9vMkUURTlIHPxkeLsn2exbr9vgbpEUjgdLPmO5bJG68yGVQAajImOch9C3X%20kSJFJLANgCfEDjhyWUZSIpVJ6AeOIERm/DHktqG6iqlIqyE3BxDAAHDHMt2LbtM9uhTGtIT1xYT1%20fvI4EN+dY7EzdVWxv/Rnrj1r03KFCVz/ABTbQWlSuCZVIjgIyJwVDJ4y3cWipIvWM2cNzvfRXrr0%20V1JKnazr/AbjIB7etgNXFpsIrg5HG3LetKo7FnMhOnRnRoVIVICdOQnCWIlEuD7QudQtn1AEAQBA%20EBHcv8PVbPRJvyLS78r+BrP5WeU+udnmdyu50AaM5VJVNQzlIlyu/wC08a1esvuWqPneVl/1qSRg%20Nt267lRlXqQMvLxnx9q6PJ2pWd9IlW/fjWi6l7b06laQIaOr3jxEe1fL+czWvTU6HG4rlLyM7RA0%20xDnAcMivHSep73CuaUerZbXG26pagSeAHIKWF6iO/byl1LP+C1XfTF31P25Opf8AIRZ/zI+JJR2O%20jGRMYeWSMZDitZZLfmRzz/tLyhtUA+R0B3yKileZVu5n2MuRGlRhERkCT7w4jvUdWznXs3V13LW4%20vYQD5tnizKSFqpyb+d5mIut1lKUhTcyPDMDtC6NjCcqI4OVyP3lpChUnITry1y7V6LFwIwWpwL2T%20Kb3LiABgdDDgHyddu1Yp0KreupWCWAPtXQt21E1PsQJSaUtAY+Mhw44K3G34/YCmVWIGmmTGEgPM%20BOZCsKPijKXiWlavpkG4O4HLmp0vEnhCpaTqAR8RwzMjn3KZLyJ1HwLWdRpSqSBiY4aXfDhIAKRE%20qj0IJTjpc6SYSepJjnzHatkiRIjnVAefvOdWGGGXidb9puo9Ck1ZQkYgmU/dgDlji5We0z21JLPd%20rqyuKde0uJ29aJ/e0yRIDk4SduMtGqm8U1qjqvSHzE9QbbOFvv1D+IWcWiasC1UciSTjguXf4eLV%20YPU6uPyc4/NqjufS3qF0r1LbwqbbewlUkHlQmdM4nk0mdcS9iztujR3rWTbufKzZFXJwgCAIAgCA%20IDnPqD6pWu11q2xbTMVd50PVqDGFGMhmZZam7VzeRz1YjprJk6s0j3y2OI7pcGvKpXlVlUvKpBrV%2038cyOcuQ4LXhMJ3X9We/n0PG8zyvc6QdDEWthci4OitLRIico1TrGongvTcpmfTtUqqnEsy+rJJ7%20+KLrf6dertlenVMqtKQ0gT93UODFfPMTkJwzIXK0lGXTwPqvDW5fS7Javt/8HHZfG7ZuMatMytru%203nrpTiWlEg4EEL9VWnj8jjKVVOMkefuwlam01Q2uPqJd7tuEa2/1JVb2t4J30i408Itnmvkfub2F%20dg5XLUu6PRHreI5+EIq3ONPMz8WzEgQzxkC4P5F8puQlFuMlRo9tBp6p6H2IBJc4jIFaGyWpNTrC%20PhkdQ+7z7EVTaV2MdZMrtbWdzV8YMKT44Y9zLE5qPxONlchXRaIzVjt0IxjAeCJxy8UojtVG7eda%207nAv5PXcyQjGk4hkeHAMqtWzj38losL28pCQpymYn3sOLcFYtW3SqR57KzFGrbMVOrcXDyAFMk4x%20OPhH6V3sLASdXtQ8tk5Xe3QQ0wJePlwDASAzJ7AvSWMfQoN9/XUkjEQBAJLknHFdK3CppWp90nPI%20cCrlu30MMTlShTDvqfGXMdysxtuphJtlvUvaUJmOnU2ZHNTxsVVWSwstotpbxQ1RADYkHtYcFJ/h%20VJFiyoVUN8t6NTzaM5W821+dTLSHbhxUU+Or8SW3auwalF6o6F0l69b5t0aVLcm3Gzb35FqvfqKq%203+LdfSd3G5m7bdLi7kvv+87L0t6l9KdRxEbO7jC4Z5UKh0l+wln9i5l2zOHzI9Dj51q7s9TagQQ4%20Lg5EKIuBAEAQBAEBguudxvdu6S3S8spindUreZo1D9mWktL2KO7Pti2TY8FKaT6nm68trijtAv5C%20VzWumq3F1KQMzOWJce8wJwVfjOEjkXPqSl3Pw/bwPJ87zKlflYo4tbU8iwsYG7hqrS933hxxyWnN%203/8AGtuEd1+Bx+N49ZFxplHU11To7TUt6WiJhCWrB9TjAHmvFYcHK4pOrqz61w2BG0lGKPTPpjDR%200DsQ8oUSbOkTGJBGMBjgvoNv5UcvL/uy+Jddbbd09fdN30N+oU6+306M5zFQDBonGJOUuSsWcidm%20XfB9sl1IY2+9qPifn/u9lbxu69Xb4TjYGcjbwmdU4038IkeJX1b2z7ss50Fbm+2+unj5r+BLyvAX%20sRKXzQfXwMcCQXGBXsZRTVHscEyO37rKnIU7kmVI4CfEd/Yvl3u72Z9RO/YXr6ry/ie09ue6JYz+%20lerK0+vVf6eRl2GoSiXA92QyK+QzhKLcZKjPqEJxlScXVdGSQpSq+7EzqcW+tRt0+BpeyrUFWb1M%201YbDWJM65AqAfhRGQPNU7mUlseezuWdyiWiNnsttmdAMdNOLCQGDLmXLx5+9kafEzVrZUqdEzlHV%20GDxDFvGfdJHFlUncbZy7+TTyJpTp6ZRhFoSYvLGQIzYrWMXuzk38h/t+Bjrm+iIkDAY49oViNs4m%20TlqO5iKtaVeR0ywlgRww5BdXDw3KSqtDzmVmVZ8jBsKbA5GWbL0uNjxXkcyU6/MTU6TScjEY611Y%20W+iIpSqiQFjlg2B5q3btdTShQZY6nLtgOCuRtfcbUKTVAYOW71L9P4VMqJHK4pkaZEESwbgs/Ti1%20tsbq2zM9Pdeb909V1bdemNOOHw1R5UW7Iuq8uPg9VXU6eLyORZ2dUde6X9d9ivWob1A2FeIANf3q%20cpdgiCyoXMK5HzPS4nOW5r1+lnSrLcLK+oRr2leFelIOJQkJfUq0otOjO2mnsXCwZCAIAgCA0n1d%20iJdIVwcXI+sLrcK6ZETz/uR0xvtR5VvrWFSo1SIqSdiSvqP04TXqR5mzcaWmhNYbUJEwoSeeYElw%20c7ju1d0PuNL2TTWSMrG1rUY6ZxOoe9JixPevMXW1KklQou4pbE5BAwxpjwSlDAy4qlONU/E0IhCB%20GOBf3uACjna6rU2qfTGMyHJf7Ujj7Vr9Ci0+xCtD7qDiRMjwnJ8x2LeNleHwMAAQqaZAAH72LA8c%20FOrdUN0UGenVDAgnCXHDkp1CL1MpdS3lcR1NCQJHvAqZW6bkytvqWk7gycVJPAOcMHUyjTbRk6hT%20bctZV4MNJxIcE5Mt1ElUSCpVfWMyw1THfwUqRKokU5AEh8PdJ5gYraKNkiKcj4Q7asSeS2SN0iKc%204iJIwhmZcVskbpMplKQkBHj/AEdbJGyRCSPHpJwBEjxM+GK2RvTYj1jIccImODA+8tkjehGSAAAQ%207HEZjtWyRtQilIEPqcyYAjByMlsl5G6RQajNqZwfEBzGTraht2lPm4Sf3iXiRwKdtTPab30Z619c%20dLyp06V5K+sYH/KXJM4iPKOIbsXPyeMtXNWqPyLlrLnD4HoDoj5iOjOoZU7W+J2rcJADyqxeMpHl%20KIYe1efyOHu21WPqXkdKzlxlSu51OjWo1oCdGpGpA5SgRIflC5TVC3UrWAEAQEdz/l6v7EvqWl35%20X8DEtjz51xZ1YynXDToicnf3gTw7l2/ZE19OSpTU+WcpKmR2mM6TjB6sWMZAOYlmIP2fYvR85Hvs%20tHEz29DJDY9oM5iUJUKlQkmdJg57V8K5zGnbl3xVVXWp6H27zStei5qWd9s9ewpxqGXm0CP30efI%20jNefhd734M+m4UoX1W2WsK1EmMqY1aR4xLJ+5btNFyUJR0eh8M4CDMRUd+xlkgnfcdPIinW0hyWC%20yo1Kt3MfwLSvuFKMfDMOfdMslPCw+qOfezKbsx1fc60gfJjrlHAvzV+xgSm9EcbI5GhZTpVK8zOr%20IgFiYk4LuY/GUSqca/mymyenRiPdDDguzaxvDRFGU67lYiIyJd34cl0LeOat1PpKuwt06GKCJAeT%20h4kEQIPiVmNqm/8A4M0KKtZ8JFouZRgMg+bKaMTZRLOrXcYEEHCMhw5qZQJ4QLacxgCGiOKmUevU%20lSLaqZS/DkYkzL0wQWb9K2RNHTUilMnXOAy8Lxwk45k8FItzZLZMhqSOqekljnL7MT2LdLoSRRFI%206pGLeInXpPczLKN1oQzmZEsSYkvjzW620JEiKUyCwz+tb0N0ijzJCTDHn/Us0jQ27US2m5XNpXjc%20W1WVGvDGNSmWkCMmKxK0pKlDMU4uqOr9FfMd1Hs8oWm+QO62YZq7/jActRLLk5HEQmu6OjOlj8hO%20KpLX8zvHRnqj0b1dbie130PiB+9tah0VIHl4mB9i4WThXLLpJHYtZEZ/E20EEOMQqhOEAQBAEB5o%206j2m3o3m+XFETjVNecpl3B8RzXIwsd3sirS0ejOF7n5G5alCMXTxOUUOpd/q7vKl5EfghIQnMxOA%20GGC+rXuBjax1OLrKldDh3sWy4dzfretDcbKcZSFQE6HAGBclfI/cV56RqacPjSdwy93CVS2lBozj%20IeKMhmOztC8VblSVT6Zgz7d3qaje9P2leNenUo069SUQIGcfxIDhpkV7ThPdmVgU+m/RXbodTJx7%20V9L6i+1GnVegLwynGNaLQ94EHiWX1CH/ANUxbltK7alXyaOPP29Pu9Ek10M9sGybpt1A21eoLmmZ%20aaWBeLDIE8F829yczi51z6lqDty6vxX8T0HFd+LHtlLuj+RmqO11pVImeEWeQjm/JeXlfjTQs3M6%20VNH1MrZ7LEeIBhnGc8T3BVbmTU5t7LruzIxtacMyzBoEe8O09qrO5U517MolqK9yI/hxk1TS8X7O%20aRt9ehx72X9hjrrcgGhFyZeE6eHaVasY7kzz+VyEdq0MbKUyIg6qhcuScWfP2L0OLgqtWjzl/Idz%20cqEBCMqQ1TmCHL4gS4v2L0NmxT4FZ+L0JhhERGOn7RzPer9u092Rbn0QIEJyHgkeB5Zq7CC2FehT%20Wrxh4QSYOTCD/lViFvr1ChUxlzdHSTF5GMiYl28J5K7bt+Jat2/Ew15uIaflEiORk+DDiFbjb09S%20+w6Nqx4mubhvuj9yRMRDAnBscsV0bWJ3fNodWxiV3MLX3m9rTMvMlD7ogWV2OPbitq0L8MaEVShT%20Ddr4MJVpkDJj9ay7EPChmWNDwRkbDqzcbWrTqipKM6WMZxLSH7J4KvewIXFtuV54Eeh0non5mOtO%20nrmNK9qfxfbCW8isSa0R+rMlguRl+3YTVYPtl+Bfs3JRVJa/t0PRXQXr/wBBdXaaELkbfuMm/wCT%20uSx9k2EfpXmcvjL1h+paF2NxM6TCcKkROEhOBxEolwfaFzzc+oAgCA1j1MlGPQm9SOcbWoY9+kso%20r6rbl8C1hJO9GvicU2i3o3Oy24mBqqUYiUh+yFT4jMlCdU9EfIvd1yVrkZ/EqpdO0ah8ukIwrhia%20kcPDFcL3NmJ3e6XX8WWfa+fKWUqvT+O5z71D2redrrwMoCtZyOvzYDxAZkdjqjxF61P+bwP0bx2L%20F2u+LroeoPSa72m46B2ytt1SUrc0x5gqSEjCow1wfkCvc20u1UPC5kHG7JPxOEevvqxvO4b1e9MW%20FcUdntiKdby311asT4xKQLGIbBc7JyO59q2PV8JxEVBXri1e38TjMKgZh3FVbc5W5KUXSS6nrX2z%20j2tVRZ19shUiZUPDIZwZfT/bvv8AcKWszVf8/wD/AF4nh+X9pqVbmPp/0/gS7f03c1wJ1vw4Sy4n%206F1OV/8ApGLZrGwndfjsvxOLje2rr1uvsRtW2dLTow0XBemC0aeeHYvjXM87/mX3dUVFvw0PU41/%20/Gsq1blJx31f5eRsW37HClT/AOXieRJZx/UvO3cpyepUv5dZVkzNW+1Rp0/MnE+CQiSeJIfLNU53%20quhzrmV0TL4GMIgx0zM4kGJHuf1qGjZy7mVH7CGU4QzPsW6RzL2Ut3uYy53ISDQLxLgnJiODK1bs%20Ns4WVn013MdOVSqXqOAM13MXjlXU4F7Kc/A+iILafs4mfILv4+Ml0Knc1WvXoSwEYQM8Bq4gfkdd%20G3b28CNtt0JCwEXOJ4cCrtu3R0oafApkWYdnu8ArVuNf4mVqR1JsDx7sHU8YrQ3jGpZ1qsiCXGjI%20Hn2FTRj95YjEs51iJNHFsD29isEyiW3mS8PieMT75xxWaEvaUm6Ii0vET4ccis9pn6Zmunut+odg%20qQO03tS3pxONLUfLkOOqIzVa9hwuV7luWsfKu2flengdi6S+Y+yq1IW3U1t8JrIAv6f7oDLGI1SX%20KvcZJfJqehxeVhPSWkjsG075tG720Lnbrqnc0ageMoSBLd2a5kouLo0dVOpfLUyEAQGl+rP/AEnV%20/aH1hdXhv1CPPe5f0r+KPLt0P+ZmxaIkXC+pw+U8nbfpRLaSYs4cnLitJo0uI2jadzJjChXarRGH%20lyxYco9q4PI4EbkX0ORkWaNtaMua3TMK1ONzYVTTlI6tM8QByDLxebYvWpOnqgvvI4Z1H2zRhrqy%20vrGem4p+AlxxjLtUcL8W9dy9buQmvSyGIxqCJ1DQcY4D6eCtw1ob+BFUrkxOUKZYmIyw4qdRVTZR%20LWpcHSW8IYvzfgplEmUC1qV5GQep4m8ID481KovwJ4w02LetW0gRi2B8XPxZLeMfAljEhlWckZkE%20gDjhxW/abqJCKg0GOoNmYfUy3oSUI5VAAx97P2nMLahsolBnL3tIMQGAOazQ2oRylmZEPkT2rZI3%20SI5T8eB4OAMz/UtkjZLQoqnmQQPEH5fpWyNolEjgSeBGBxBHPDispGyIySabEsDk+b8FsbLciJOG%20kGUpAvzcZFbpeJuRyMXbDVnKXBxwWUjdEMicxhxbsW6XQ3SI6kg4L4AZ9h5rZG6RRKZAi2B+y/AL%20ZJM2SPkqsjqBOHAx7OKyodQo0Nx6N9X+u+kagltt4bizGAsromdL8gYuqORxtq7pJUfluWLV3tde%20p6V9JPXraeu7j+FV7SdhvNOn5lSnJjCeLEwZ/pXls/iZ467q90TqWbvedWXJJggI7n/L1f2JfUtL%20vyv4GJbHBOs6r0bimIeHWPF2uut7JguxvzZ8k5OSeW6Pauhr3TdSfxkxGIEjgDLgBxDL2XI2+63S%20pz8xLtVTZa4fuXyvkLL1TObCVD7YXZedGtGMocdXHHivmudj/TuNI9pwnK3INNOjXU+7lsVrdCdS%20yhChXkPEz5uq1q+46S1R9Kw+etXKRvIxNxsd/CnOpGmZU4FpniFOrsapVLl2NuekJVqYOvT1AHXI%20Enwx5nkrcX5HFyceS0a1Rg7y3lISNQEHW8X+72rtYMIyfkeRzu9Py/EphThHSDmcO916ezj9DjuT%20ZLGHgabHgRwZdG1YVURt66H05ABwByV6Fr4NhH2IJ8ZifLiQJkZ4qzG0qb6gpnWhGEwYjTI4SPvA%20BWIw2oZUW2Q1rs6gZHWCAAeQ4OpI2+i0ZJG3oWk6xOBJlj/Z7FN2E6ikW5uISMpZ4sw58gt1GmiJ%20OxkHmzkT4nLkEj7A/St0kSUp+25EZ6WZ3j9g5yjzK2N6VKZCTkAnm593uW5lUIJSAjhIaTJqZx8J%20W1CRIoL456W+zlp7H7VstDZERLgBmbjz71ukbkEuB55gZFZ8fIkREQXBw04vzdSVJCPQfFGHhZjH%20k/JbJ7Nm1fE+iiThlDOI4PzKw5U16mO4+XMp2r3dOrOndRANKpROmUZDIhbW3V9vTrUksTfcktqn%20s/0R3fcd29ONsvNwrSr3REoSqzLyIiWDrxXJ24wvyUVRHprXym9rnkgQBAEBwPqWhSjHdqsAYmde%20TxlwaR+tQcAnK80+jZ473c/60EaR0tYWl9d143MBIU3MeZf9C+icvkTtWV2vprQ8pyF6VuKlE3aw%202/a5nyatCLs0agHjAHavg/uO7/u/3VLntvOlCbb1qYrqPZ7qyo1q9pRlXtYRBYsZjmVwsW7G5Kjd%20GfZOKjHJinB+o1CO62tcRnq0zkACCCC/a/FdSWPKOlDrTxZ23RouqcIzJjKYjw5k9mChboQSbRfU%20tvoxiwBjTMQBE5xKgldbK08l+PUuIwo0y8IiPDBRuTZRu5Pi9CipWERiWByWVBnOu5mhYXW5RiIm%20LyBOLHEDmrFqzWpxsnkFStTHVrq7q6zGURA4Rl+ldfF43uaqn5nAyeRlLbbqReUdZAd5B5VhwIXo%20MXBS+w5k7rbrWtNiQARnEtqOkjzOI7D3rrW7D8COrpvv0K8SrsLVPiaUPpgNETqBJd48QrUYGKlF%20evRpgaQSSwEX48VPbg3uZhBsxlzVJMzIaYxc6e1XrcdC3bjsYm8uw+rEaoA0y/uk5qxCOmvR6nQt%20WjWt33CUSAGEYhiRke/tXSxrNdX+3+h1cayn8TWq9Y1ahmV0kqaHVhHtVChbm4RMBa9PgYCzTUyF%20hpSWuoOk9C+v/qF0lKFKneHcLCOmPwl2ZTjGA4QYhiuHmcBZuqsPSySN1p6npn03+YzovrCrQsKx%20lte71mjC1rl9csjplHDHg68lmcXdsfMtCeNxM6wucSBAax6mRMug97Z8LWoWH7JUOR/beldC3gr+%20tH4nEumISjtVqCGenHL3cgvOcTF/Uab67eB8h97tPPm6GatZinewkc8gqvuSypQdd0cfg5qN9Nuh%20kN62qzuqGuVHzJSiRN2I0kYuvDY9+UXSp+g/avIz7XCr0pqczvrjq3piyuNu2S8q09jqTlUlYQLS%20jKZcyhwxXuMHlnK32SdH4ntr3GWMlq5RKfXwf+pym9rVqt5VnWMzUlOUpmfvuc3K6vc5at1L0YqN%20IxVEiERMvCG/pxWDZJvRGX2XyIuJuZmXibMhVr9ehQzlNPy/ebjbWdEY06YiSfFIDMclx53H1Z56%20d1szVtt8abkl5n3SOA7FTndqc+5kF7GFpGIaMhMQYEM2p/qUFZM5l3JaVNz5UquTOrJ5HMlbRijm%203slr/qY+53OnENA+3tU8bLbOPk8gopqtP4mNrXdatP8ADJjTOfeupj8dJ7o4OTnvWmhE0dUiQ5BG%20PM8F3sbA7Vtoc2U5OjqSQpuQQZEEF+wrrW7FFTcinLyRKI6IeGOpuAz71bhbI26vU+v4siG/IXVu%20NuiMdD7FpTxmKYxeR7MlYjDShgilVHliOkAgk6/tF+BVjt01N1HUta1TDLxR94cCOakgupPGJZ1j%20EOJB3yicypoPRUJ4lpUkcZDxOXx4w/8AFSomiv28yIhpEAYvhE5rdEiZb8Y6QC2Mn5/rLclIX0sQ%20cSC+ngX4rdKpvSo1zkwZ9OMu3vWHFUM0SL/Zt46j2K5jcbNe1bCsP/hyaJfHxDkortuE9JpMs2M6%20Vp6M9L+g/qfvXXG27pT3ilSje7RUpUZVqAIhUFSJkJYk4+HFeb5LDViS7dpHpca99SPcdTXOLAQG%20k+rsjHpCvIB2Iw9oXW4VVyInn/cirjfajy3c1ATIliZHADJfVII8rbiTW7iQY+I4AfpWkyOexlrS%20YjMZgDEkZv2KndjVFG6qo2PbtwlRlxNM/vKfEH9K4mRj9xzLtqplI3llcmNKQ98ZS4HkuHf4iL1p%20Snh+ZW7JR1Rj7rpnb7mMqtrLy5EHRGPuau3iqcsa9bXiWYZ046S1Nc3PaLyymY1YvEsBVhke5TWp%20vZ6NHSsZEZqqMHdRMamn7A93v4q5CWnmdG26rzLStKYHhbHgpoInikW0psRxZw3f/TBSJft+34kq%20RHIvzPAc2C2RsiKVQtq0tEk6n4rahukUSmAIjEAYt2rZI2SIjVfxSlEjMnF9PD6VlRN+0pqTmMTj%20IDED3X7O1bpGYpFFSXhlpxiMCDkRzKzQ2iiiU4tJv2Ygdv51k2SZQTGIP6ozGY7CtqGdyiTyiCwn%20KWIjzA4rKN0UVJYy4CQw5OFlGYojmwEXDgNpAy7XW6qbIoOLtg+TcFnY3I5RfADvPNslmpsmUiEy%20TwBD9xPJZZltElO1nIAg6Yx48NXFaua6mruIpqmFEkAvNmb7vYtoRbMxTkdP+Vr8X1PrTLya1JBD%20ffGa5vPrtx1TxOviaKh7IXhy8EBHdFraseUJH6FpcVYteRpclSLfkeaesrk1q1SdOcgBVmBTHvAj%20j7V6P2baUYtUPkjl3Xpum7MV05dVIXNOYZzIiQ59pXsc2CaaIc2CcWbtVj4e9fLeTtUlLpU4RYVo%20kSfIheG5PFb+wu4t2joXVPciI8YzGJI4leblao6M9Ja5HTzLyG7CEiJyB7O1QuzU6NvluyWr1Ibu%2012a9cVKYhXMv3sM9TLaErkNtjsrn+70ydXsavuXTVz5svgyLiOrGHGIXYweQ+m03oVr96xkVSdGj%20V5g06ko1HFWifF29i9zx+XG4lR1PPXrMoS7WSgkl8NJxHP2rvWnVVXwKxU0owjWpvqpnxSwYHgy6%20FuPiPJlvWrEEyliZHE9p5qeMSWEKlrO5Jm7nTyHFSxtkyhoWprh9AcGoS0R2Kan4Eyh18CCdaYH4%20jQiPDIfaPIhbKJIoroUTqaZAMahiPDMs7nAstqGVH7CjXGJEidYh4Yy4g/rLZKpvToRa3cEgxznG%20WY5BZobUKDi+uIiSHMTkD95bLwNl5FMp6dJJd8yMyfvBZRlKpHLSdQGkNjEh8ewLKN0USIOIDdgW%201FRUMojJJxDamwZb9TceU+Zb7qw2Z7iWFqRE4Dwkaie3itXPXQjdw+XNzQoQEaZD5Sme1IQcjNu3%20KT1Ne3O4ejPHwgSAkcy66NqFPtOpjw1R7V+XuEo+le0iQY+M/lK8NzCpkSO7ZknHQ6OuWShAEAQH%20EOurq3hG8hVkIy8yQEYYByTpzUHta3OWRLXWrPnnuTIU8mMI6vr5Gk9HU4efUlhKUdTSHB8wve+4%20q/QT6nneTk+w2m2nprFgSS2A/OviHOr0v9qEfDypJmxWZhIDzAJRLgrw09HofS+JypW5Jp7mE6l6%20CtLyhO6owiZZiUA0wuhicm4tRZ9OweVjcioz1TNKj0rvFpWNS3mZ0yNemQOsH9K6zyrc1R7lrJxr%20c4+h0f7bHynuEhUFK6pSo1jixGAHatJ2NKp1R5/JwpRZNXIhAzdh97go4qrojgX7bW25iriZfS+u%20oBrD+93q5ag35LY8/l3pqrRjYnUJVDTImcTEZkr0WJha0rXzPM3r3e9XsTCkNMaUofhEE9g7F37V%20hbvcrSlLepUJCUG0mMSGMDyV+NnxMbP0srEIAQJLxPvRGYAVuFt9EaNjzBTMpROkMQ/HSp429Kbj%20ctK97EAikRgMz28u5W4WfEmja8THVryMTKJIi4GuXAHgT3q1G2WoWqmNubyRBkcYEaQPsEjMtn3K%20aMNaf7i7btU2MHe7nThCQpyiZAO0nxdX7dhyeux0LNhvc1q8vPPOGDYFsiF0oQotUdW1a7S1Unky%20cI14gJv8TAWTIWAEZgkqW1enCM5wMYz90nitY3FJ0TNVNN0RmugZSj1x0+Yu/wDELbLP97FVOTkv%208eVfBksHqfo3H3Rw7F8xRdPqA131DhUl0Zu2g6SLeZJ7NJdV8v8AtS/lZZxGlcVTk1Kysre2sxbQ%208syoU5VAPdJMQXC43t23O6u6Te/3UPkHvFp5b8dSOpqjOMgWOoLT3Djv6curPOYdxxmtaam0UJ0p%20WMnBMDF5AZlsz3L5dJNSPtvtvJUZJp0qaTutpCcqkonXqJNIcTHiO4DJdqxNqh9bxruiNO3jpLbN%20wiZCHlVmAjMcGXXsZs4eaOn9SvzamuX3p/eU5CVpUFUEMYnMMr9vk4v5lQ3UoN12ZhTtO62dXXO3%20kDTOLjB1bV+ElubXMf6ke3eptey7lUhONG5E6VWWGLY/1rl5NhUrHVHjeRwXB7VNwoVQaeunKMZR%208cKn2jw0hcma11POX4+JBVqinFznIsO9SxVTz1+TittUYW7vLg1ZU4gEHxav1eLq7j46medzMtpM%20tNMWFQycv7x5L0WNgKldzhzuSk2mSxp1JYHwjmOPcu3bxkiu5JEgpxi2LRGDcyVdhabNHJsq1B3i%20QwwPN1ZjZMU8T4JGIbAO+SsK3VmWqiNQRkSYibhml28cOSmjDqKERm2Zy49ikUV9/Q2UakFSqcNL%20Skfsnkt4x1qyVRLapIE8C2H9OxSpPUmSIKkvFEAtmTyOGSkVTeK0LYiJ0kge7qxyHZ3LclIagBiG%20Bi+L/oW5KimcRJzp4sTwI7Fs3obJlQtqkpkYgyyJ5cysSkjV3Ei8+BoU6U69xPTD7JHvSIGSidxt%200W5B9aUnSO5hr678JhTwjL6lbtwruX7NrqzuPygSM7XqsmRLXFsG4fu5Lie4lS5H4M9Xh/20eiV5%204thAaB621jS6HuJMT4ohxw8QXc9uxrlxOLzsa2PtPLtzOmZhsJPw+pfUYJ0PJ206FzbyYwk/tl+d%20RyRFNGStZxGliGGEmyVaaKdxGUt7gxAMTEA4EF8f1iqVy1XepTnCu5eC4gPe8PMngeSqfSfQg7GV%20U7+VAmcJSgQGP6PasPH7tHqYdnu0Kpb9cR9+c8McQCsLAi9kgsRPYxd1Q2q7idYNvI6pGrH7cziN%20T/mUN3i3vHct253If9jAX231KAIJjUiRhOLsqdyxcg/UvtOpZvKRiakZh9RZvefsy/qSLXT9v26l%20xNFvUMSNUT4hx/pxUiJV4EVSbM5aR58WW6RvFEU5hzI+GTAyfMR4fStqG6RQJycaiZYtLk36FtQ2%20p4Eeou/h1u7/AK3/AILNDan3FMpMBi0jgInMDkFmhskfDUxBEsHcv91bUCiUGRxc+IRMj38EobUK%20ZTjIsXlpGY5cSs0oZSoUkyz0nUGD8wea2SNtCk4GRidLYEHPFDJSRrwEcGyH0rZaGdhGmJAPEmPB%20uxKhyJ40KYgJSkAJAEE/So3Jkbm6lvWuoxcU8KYJY8cRkpIwb33JY2677mNq1ZHTGMsTkexWUkmW%20oxOs/Krp/mZU1u/wp0af2hmuR7g/snSxvI9mLwpbCAivP8pX/wAOX+yUaqRX/kl8GeUuqaso7tdQ%20lJpayRGPus+D9q957atpWaf+T5eo1182WW1V6Rr+M4mQOqPvEuu9kwaWhDkQdNDotEipQhJyXDuc%20z3r59zONV1SPNS0ZDVpZsMOa8Xk49dkK0LedLFefyePTfgy3byWtykUzxVeHHLqSSySSNMYc10bO%20DBUokVpX5PqSRpMQQdJGLq5/623JUaMRvzTqmQ7ntVvuFCMK0BriGhViPEHW1ni1Yl3W/u/edCPL%203ezteprlz0pf0JS+GPm0PswPvv8AUu9jZbVFNOv4EtvkIS+bR/gYetHTFhqFQEicZYBwV6GzNS8C%209F1+BY3JkJEjCQwPa6u26bFqC0LCrU94gEtg8e3MKwlsWIxLeVSYkNTmY96mOR91+5bxRIkmRSmC%20XJ8Rcao8o8MVv2m6RRUqkjUfDpx1DMCWSz2myiUmoXcO8wAAc2GZKyl4maFEqgGoCTwBaEBy7Vmh%20sonwz4OJaTqJP2j2LZIykUmcg0nBkcdXEdiykZoUkkxBMhhgAlTPU+LNdamSuFJ2MsI5nu5rRypo%20auRVHy4aJyzzjp4gHi6w61dDDq9CG9vxOMmB8uOakha18+hvas0+Jirir4mJ0iLGIGZJxBKtQjVa%20dS7CJjrwykJHFhGWt8iTkyswX3Fu1oe2vl5/7VbT/b+teC5f9RI7dvY6QuYbhAEAQHlL1P3mFfcb%206jVqxFWjVqiEiSARqP1L03srBcJSlTr+f8T53kRnPLnJrWpjfS7eIV9VOtUBnIyjBsvCvTe5sVq0%206L9mcznsZx2R0GMvLru4AyJK+B+4LclFnH4y7S5qZ+0nE04tiGdfPri1Z9Bw5rtRlKF3KMRES8OL%20lV3E9PYy2lRPQ+Va1KoQZUwTxkc2WVVbFhcjNKibMdue37ZuFDyri3hqHuzAxVizfnB1TN7PPSg6%20T1Rrlx0gKdNqFaOiOQny9ivxzVJ6rUw8/Hvy/wCL/A1rdtnvrWZFxROMmhOOTNmV0MfIjvF7HMze%20PTjVOq8TXDE07kxqAeaAWZ2bsXsOOzO5HhszHcJNL5akkNPljTPzI/e5r09lKvgUpqktSSOmMRLw%20zMgQ3GPauhbh+Bo2QV7kUoAERce42Z/aVu3aq9DeEO4xlzfwAlrJkxAL5x1fmV23ZLluy+hjLrcx%20CTCUZAA6h9kg5KxGCe+jLtvGqYa73ynHXHUS4HhGTDIexWreLKVHsX7eIzDXu8anYmMizxHLsV+3%20jpPUvWsahia91VrSJkS2TdisqNFoXYW1EiW7/EkCLQBY02MBZrp8TIWOnwMF5tm0X25VxQtoapka%20scmCivX42o9z6EN7IhbVZGQ3DbaOw16OqvTubsh6lGOIpnlJV7Vx306Ltj+ZDaufXj1UTFXt7cXl%20c1q8tUzh3AZBXIW4wVFoizbtxgqIy/QP/XPT/wD7ja/8WKp8kv8A88lXoyaG6P0cGS+ZIuhAYrqi%20lGrsV3RkRpqUzAg5FxkqXIOlidf+LDn2qvgcb3atR20RE9Xl04gMGYYYAK77W4/uhFw20qfHubc7%202U4t7dPiW5qwrUI1YF4zDg8u9Q+4ceUHKMlpqcHtcZUM7s1wZ0BCWZDahmy+M5dvtlofSuBzH2p9%20UfN02qQp+dAkykNMIhnbmtbF/WjPsnGZ8bkF0RrVxZET8vTIiLGUmD6nxMe3mulC51O/C7pU+CxE%205iU6YeMpayc5hsCn1adTP1qLR/6E9vsMKs4CVMaj45YeFjw7lpPKa6kU8xpaMuK/QFC9oCFSAAlI%20yEsgItzzUceUcHoVJ8xGKfdqqamL/wBB71tWqtaVxXgTqEJZwGSs/wDs7d3SSocnKuYt9+l9r8Oj%20+BirihWhGULiEqMyPFqGIVm3JN6anmc3DcV4o127jUhXlORJh9k8wu9xbj3U2Z8+5GzKNyj6n2kB%20Kci5ww0nLFeys29vE5E9ESgnRqA44g8l0LVpbEdNT4RIAyiCIRPDJzjirULadPFmdyiUu1uOGSsR%20guplIolUjHF27Stkq6Gyi2QG5BywHM5FSdjJfpkEq0pDEsH9vYt1Cmy1JFEilVBBOrI4k/eUkY6m%206iRTq4aCNJ+2eXd3rKTNlHqRzlEAOGAwbmOA71sbpEciwAk0j70geeTLJskVQoSIIiSCC+OQ7D2r%20NUmHNInp28AZOA0su5aSloRObLmtdWdpAEAVKpwgDzUKjKT8iOEJTfka9dXc6h1TJwcNwxPBdCFu%20h07dpLYxd1UctxPHgyt2406l23Gh6A+Twj4LqsNlc22PP8Oa817h/uQ+DPQ4fyHotefLQQHPPXWe%20noO4cgAzg75+8Ml3vbarlx+05HNKtn7TyreXLVHyY+HmvqtuGh5e1b0Lyyr4BiAcx3qG5EguwMjR%20qltWcmYk4N+Tgq8olSUS9p1fe8WPFQOJXlEu4XALEPGJOrSMThg+Kgdv7yFwPhqR0y4l3fj3LZRM%20qJBOqS4fgXUiiSKJDKoYjUXPA9y3SN1GpR8SYgROIJbDEB8nWXbTNuyupaXdGjXc6SCHBIzLclRu%208ZCWq9LJ7U3ExV1YVIRiYgaCC2nEe3tXMu4ty3q9UXrd1Mx8qYclmnpx7lEmWEy3mWiCMREN4ccf%20u48lIiVEM5+6PCzNiTl2LZIkSI6tR82cHUInDDkt0jeKKZVTrJEgQcZR4HuSmhlR0KdTHUZYg+8M%2027AtqGaHzWSZtF4nEjl2pTQzQ+GY1ZassTh7MFmgSPmrA4Z4jsCGaDS0gHGPHv5o3UVJIwjhIgMX%20jEDicnWG/M0bFSrCDkxMpRAiG4FYUWzMYtltO4kcpNqcTElKoKhKoIs51DlxbB8lMTqJbzLgMCxy%20J581utN3sSo6/wDKman8yqpgSYm1OojlrC4vuD+z9pex6dT2YvDFsICG8LWlc/8Ay5/7JWY7kV/5%20JfBnkLq24jHcr3QdUfNmR3vivqvD2O21HTc+bW4VkYmwrmRB4rp3YG96FDfOm95GFGtLwSHgPCJ4%20uvN8hhqSeh53NxuqNmaFSOqJeMsQeBXgMzDpJr8Dl7EM6OPYuLexKsyR+WXyxVZWKPYFcYHjg+Cn%20ha8QSxhwGSuW7TeiBIwHtXTs41dOhqRXFaNGlKpg4HhB4nkutZ4mE6V0ZvGNXQw99d7ZckQvKMfL%20bwyGEgfYrj4Vteh0kXLMbkflZgL3YITE52taM6QYxpy/e49g+hR/4t2GjVfgdGzmtfMqP8DVbmnK%20MpDQCYvgc8OCmg6b1O1B/iY6QJlLEy+0YSwMTwGCsIsot5TkIyJZszAcCeakST0JEiMzkAz4y8Uj%20+YrahukUmoWJJ973kSWhlRPhmNLP4QfpWafiZofNUWJcckar9pmgcOz4ssvxMH2Pi93F8gEboHoX%20FrQlOUZR8WkvLl3HtUcp9CK5NIprzhbmUNQlMAktj4uCzBdz+JmKctTG1LmRLg6gQz8O4dqsRhoW%2042y1qVxKeDOPFN8iRkApVCi/ImUNC1qSBBxaRLjmT90d6lcXRak0V+37y0uS9KrOOGoNhnhmD3KW%20O5Pb3SPb3y8/9q9q/t/WvA8x+okdm3sdIXMNwgCAIDxB613m31uo72FKYNanXqCYfxPqPDJl9b9o%20YcrVqvSR5LGtTjem2tKmJ9Mdw07pG0mZYkTpkcGxK6/O2K23Iq87YrDuR3erETpxm7ggEE5r4Fz2%20En3RZ85jJwnXwZktsuJSoucwWPavkeZZ7J0Pe8bkd0KmUjNmLuFRaPQW79KagzJ7uKUEr7ZBVrNk%20cBxUkYlC9e89DG3d95QcFjwH5yrtrH7jjZGY46p0LX+KVKkdM6cakOUsj2roW+Kk13RKkPcErcqd%20PwMVuWxbZuAqGhqs65j4JYeXq7TiV0MWGTYnqu6P7alxc5ZvKk1Tzf5GqV9r3CzMo14aqY92rDIj%20tXssHM0pKvd49DnO5CesGQxkBAx0hyXEuPcvUWZ9yqYZiryrESlInUIAky4ldazHQu2lVUNa3Lc5%20UxKcZnEEQFTiDmMF0LVnu0a+47GPj1NTvd1nU4gy4gZYcF17dlI7NrHSMdOrOZeRfkrES0opFKLx%20MhKGQjYCeFAFlVAAJIAxPALH4GC5oWsTKJquATiOQ7VHK4+hDO54Eo3OtbgxtKs6ePvYAlafRTdZ%20IwrKbrJFlOc6kzOZMpHEk5qdeROlTY+IttDJnegi3XHT5Z23C2wH+LFUeSq8eXwZtCldT9HIl4gs%203YvmRdPqAxHV0/L6dvp4jTSkXHYFWzI1tSXiitmy7bM34RZ506w3qpKrGixBMIkE5ZZr3HtPD7bC%20qtUfKbX9aTuvr+4r6X3UVYCzkfCQSCcwf61J7j41XLTl1RRz8Zr1I2O1uJ2lcZ+XIsQOa+E83xfZ%206orQk4rkHaml0ZstpfuGkxjkH7c1425aPpvHctKHwPlfarevOU4COWRLEJG+4qjPeYfNQnGldS2p%20bF4oxlE5lzLAHsKllknTnnpdTI29pSoR01YRMR7hBL9yryuOWxxMvlUq0YrXBIbKOQiOKRgeSyc2%20UuungWFa+MXZsOB4hTxtnGu5zjsY24vbCpHya9CM46cI8M+JzV/Hw7s5el0ZTue53DRvf7jAbt0/%20tV6DO3e2rZRpj937ScV3LFnIhq0Qx52xeTjcdKmpbltV/YGUasdVPhUhjGXYSvUcfyibUZ6MrX8e%20MZVg+6JFAxlSBicBivXWLrluc+SoyOodIL95PBdKDqqo3iqljVuZYPgz6uRCsQgt9yzGBazrB5ae%20DHHJjyUyRKoEUrg8MGLFsgDz7VmhuoFBqO8veciL824jtWaGyiUyq6iRlI4HVh7uP5UoZUQarmMs%20REkky7Tw7koO0+Bj4QD4pEExxBHIOhknt7apIiTNjqEBisSkkRzmqF15Jp0wakgH+0fzqL6lXREP%20dV6GNutxlImnE6aY+yp7djqW7djr1LCvcTn4pcFYjCnQswt00RZVqhJOLx4KdRroixGJZ1iSXJY8%20DxU630LET0N8nMpS2/qonEfE2zEZfu5rzHuPS5H4M72KvQejF50shAc29fqgh0DXLOdcWPLxBeh9%20sKuZH7Tl8tGtk8k3ldpgk4nBzkvrMI6Hn7UNC9sLkMPF3H86iuwIL1szNGq4fMHCQVOUTnziXevt%20xy1/q81FQgoTwqFwwILOCVG0RuJUSTmclgxQonNgcw2Gr862SNkiIzc6nOoe64wI4+xbUN0iIyZw%202XE5eL+mC3ob0IZHHDBsMD9K3Ruj4J6Tm2aONTNKlrc0LWtExlgZN4hwbFVL3Hwua0oye3OUTGV7%20CsA4/FiCZR05gdoC5V7BuQeiqi5C7H4GNqRMQdJaUvEI8ceCgUtS0n4kFR4uHJY6XbhmpFqSR1KJ%20T1FsmGAHJbJGyRH5kPY7PwWaM27WfDVAywLPLuWaVM9p9jPmC4wIHbksNGGiSNOR/IS/ctXI1ci4%20pU4xLkMSAzYgftd60k/Aik6i4udDxpAEsDKf6FiMa7iEK7mMrVZTk74Z4K3GNEW4RoW86hY6eBxK%20kRKokcpNqBzOYP5kpXU3SIzgdLueYyUidXsbo6/8qegepdYSJB+GOnTz1DArh+4P7H2l3Hqezl4U%20tBAW25kjbbsjMUahH90re38y+Jpc+V/A8XdT3BF9dEnxeZIk8MSvsnHw/px+CPAwh638TE7bdkyc%205g+6rt62SX7RtW23fl1YziQBLjwC5ORbqji37dVQ3zZ9zpToCnUqATiHA4Acl5XPwO6rS3PPZFlp%201SMqwIXlsjElGqKxSYOQue7FXoKgQwW0cfQVKsAujZxnLVbGCOtWp0oGcy0R9Pcu9jYtNKG0Yts1%20/cL+c5iZDgZQHCPErs2rSRftWkYWpcSDgSDtLSJcjmrsYF+MCzle1GeDRBwEiSMeY7lOrS6k6tLq%20W9WpSreGrAVH8JfAd7jmtLuFCa1RNCsdmYy8sGMvIkdOAhFsvbyXMu8dcjrHVfiW7d7xMTcUdM5Q%20kGPFstXFuaq6xdJaMuwlVVLSYlHk/Dky3VHQnTqW8qkseZGf6FIlsSJFOqWXZgOaybUKhIu+HNYp%20Qw0SU4hn4O8Vq2aSZfUrWniZyGmGMyDi/JQubehWlcfQiq7iaccCIxbxD84W0LVWbxsVMZWry0yj%20jqzc8P1u5WYRWngXIQLWcxGel5RiMGYZHEqWMaqvUnS0qQyqadOOET4HUmi1fUkUakZ8JEYtqJdj%209JCRUY+k231Za3AJpS1amaRxDZZOymhuTQep7f8Al5/7VbT/AG/rXgOY/USOxb2OkLmG4QBAEB+e%203qNUnLrjehIvpu6wH98r7p7bX/44fA5d35mYzYLurbbpQnTY+ICQJYM/Yunm21K26lHMtqVtpnpD%20Yr+F/tlOcSZGAYngviHuTB7Z1ofLM6y4T+JdUK9S2uNRkfKOa+Scxgvub3LfG5n05U6GZt72M4CU%20SwK8xcsNOh6yxmKSqiU3IIDnA5rT6bJ3lJrcs7m8jHAnA5RH1qzasVOffyuhhakqtWrIE4faK7WL%20jd3wPN5WQ6tE8IZD8i9RZsnL3Jow1YBdS3ZroYlV/ArNGBzx7wCrsMDu2Hc61MPu+xbVKGsy+Hmc%20dQyPaexdHG4y8tInTsZd16Uqkavf7Bc+RKqIxnCBYThjnk6vQlO3LtmjqWspJ08TQOpdnrRoz8sS%20Y4wkRjq5LuYmTFuvgej4/KVdTQa1KpTmRMeLj3r0CkpUPSxkmtChZbTNglWAsdPgYCzShkJrSoJq%20FpWrFqYeWYjxbmtJzjHfYjncUdy8pW9vaUTUuoGU5DwQPFQSbuOkftIJTlN0jsW17fG5MPCIimGi%202bKa3a7a+JLas9n2lspE+iJgjdUAjpUGe6B/656e/wDcbX/ixVDklXHl8GZi9T9HBkvmSLwWQYTr%20UD/S+4uJECjItEOTgn0lcfa+pQ5T9NP+VnlDqDcJVKpq1DqIAjq7gwBHYvrXGY6hbjFdEj51hWaK%20iKdk3D8SM4ksMZgZsFvmY6aozbKtNHS6M4VrWlVgRKJiC6+Tc9x3bJ6aHkpJwn9peWt5pIEsGzXy%20TkOOduTon2nqsDkU1roZahc4CUT4cGHPvXFlDxPTWMnROL0L0XhMX1sHbUeKg+mdf/2Emt+u5FVu%20scXMuHJbxgVL2ZXfVllc3RjgSS2MXwU8LdTl5GVTdmJuLsylKA97i/1LqYmG5ySR5vMzt11LUAyx%20lm2a9XiYnalXeh5+7dcnqSxgu1axuhA2fZ20KkDCYEokYgh1ZXFqTqSRyJpUTMRuHStrW0ztT5FQ%20YFsQQeOK7FrDu21tUvWeRmvn9SNd3LZL20bzY63+3HEMOau2bra9S7UdKxkxnqjAXdCQkZUnEmzz%20AXQhNPRnTtT01MbWEmZuXeD/AFqyizEhlUzMycGBb6HW6iSKJQaoEjHPJmxxPNZ7dDbt0KtUfFmd%20Pv8AMFO0xQrhHURGIfViHWKGHoX1vYTmWAAicT38goJ3FHcqzvJF6a9G0i04gzOQGZHNVpQnc+XR%20kPY57bGG3DcpV5yJwALRir1mykkkXrGP2oxVWuTKUjjLj3q2ol2MNC3nVfi/apFDwJVEhlIk8sMI%208AVJotiRKhb1AC/Ij2rdbksT0T8nMdO39VOX/wCZtv8AhzXl/cT/AKkfgzuYvyHoxeeLIQHMPmIm%20IenlxI8KkP8AaC9J7VVcyP2nP5JVt0PHu41peYZHHsGK+uW0caxHQu9sucNJxI+gLS5EgyLZsFrc%20MGOP3lRnA5lyBf0y7gSYSDA8FAytJE8amohj4jIeHtGDdy0aoRuND7rgxOOliBzHNuaxQxRnyUww%20Ls454E8D+lZSCRROcdWmQLAYfnHcVlG6TpUiMgQwDc8VvQ2SKJSbDiQW9iykbJEE5vi7hg47VIkS%20pEUpMHOQwWyRukUGtp7A7LPbUz21IK8aFYSFSIEjhqiqt/j7dzWmpLBuOxj7iwqwfQ04ZMSxbuXK%20u8fchtrFfeWoXk9zG1aZjIxOEo8VVi+hbiy3mGGkccGGOPJbp+JIj4JHDBgCMDl7StmqGWiejTmZ%20CMcXUcmRyki5Gml75aLhub9yi1exC/VsQXF6agABYiR7HD8VJC3QlhaoWc558McS+CniidIgnIkY%20ZPnxcLdIkSI9TkEd8hwxWaaeZtQAFwQXHan4MyUfQ2a2386mTsPypSjH1JrRdntSAAHfxjPkuH7g%20/sfaXcdVPZi8MWwgLbc//Tbv/Bqf7BW9v5l8TS58r+B4b6lr69yvXaQ82cSH5HgvtuBGluPwR4yM%20KSMLt9YwraMS5y4lX7saonvxqqm2bfc6o6ScPqXKuwOJet6me2+7MZREZeKIBiTz5Lm37Rzb1o2z%20bt/jM6Lh9ZyIHHkuLkYSaOPexWtUZinXp1C0JiRzYFci5x0d6FNxa3KpTEQZSLRGZKxbwIr4mEi3%20ub2lRicRKfCA/Or1jFSJIW2zC3u4+aROUhjhTi+AXRt2aaFy3ZoYavXJBqTziDqI4hXIR6IvQh0R%20Y160niJaRI+6OAfiVZhAswgWki+DYh3PNWEiZEU6mnhj2rdKpuo1IzcSyAbtW3abqBHUnRqxapAP%204gG7lBdxY3FSSN0mtjG3G2mQEqMgdMQNBXMu8bKOsdvAtQv03MZcW86eoTGlsGPNUY1TSaoy5Cae%20xZ6WnAuSWaR4Hv5KSuj+JYroSUAZGD44fawK1ktHQ0n1L+nKjT0zOJyMTw7QoJVbKzTehaVrtocT%20wCljb1oTQtalnVrEamL+HwtiO8qVR2+JYjEtalQCliwEvE7uwyYqbROr2RNGOpGRLW04vEjxOWKy%201XT/AGs3T003KNRkI6Ys8mEZYH2LZ0S1M0E/CZ6p6SR4XHutms1VfMLXoW9yNVKqzSOkEl88M1vH%20clt7o9vfLz/2q2r+39a8DzH6iR2bex0hcw3CAIAgPz19RQ3XO9jP/nK2I/bK+6+3H/8Ajh8Dl3V6%20ma/RqypVBUiWlHELtTgpKjIZRUlRna/TTqShVtacZS0Cfgqg/eGRC8B7h43uTizwfN4LUn+B0KrS%20jIOMYkYL5FnYNG0zy3XwLQ061M/hyaIxZeRyeKabcdvMuWsxxVCqd7dkGMg4XMeA4vZl3/2MmiOR%20q1pvMs+OCtWMF1o9Crfy3LUmp02ZuC7uPjpbdCi22yeES2H5F1rVtmrlpRE0RpHNdWxZroaot7y8%20hb0zqJjIxJjLgO9epxcbQt2LLkaRue5zlIzqSc4iEHXpbFhJUR3bVqmxhj1ZUs5yJqaaRYGOcX9q%20sT4+F1UaqXFg9/TUtavWOwX9M/GwiGJjOrlL+7koLvt5r5NGWIcdeg6LY1retq2O/nUrbRLzoMBp%20lhLUeTclCsTJsUU0dbHv3bWlw0q6srq2mY1qUoMSHkGyVuFyM9md23djPZkCkXQkCx0ATx8QTW1n%20dXOryKcpiAeZAcRHMrSdyMN9COdyMd2bLY9Rbds+0ilZUte6nCVeYDQPYMXXOuYk71ysn/TOfPCu%20XLvdJ0guhrFevVr1ZVasjKci5K6SilFpbI6MIKKoiNbtam4TzAWPIBKUBneggT1x0+AWP8QtmP8A%209WKo8nT/AB5V8GbQrVUP0cjhEYv2r5kXT6gNe9Qa3k9GbvVcAwtqkgSWxESrOFHuvQX/AGRUz4d1%20mSpXQ8cbxczqQEweGod5xxX2TFt9qPEYsEnQi2S8OtjIB8JY5rfJt1Rvl2tDpHS2804Pb1iRAsAe%20AXkuXwPqwZ5XPxm9UbPOA96OI4EZL5ZyfF6uMlocmFyUHoU07q4oy97w8l4fN4lxbdDq4vJzh1Ly%20O6RIGo9vtXEliNM7cOWi1qU1d1gYMCScmWY4jrqaXeWi1oWtW7nUiAHfmV0MfAk3VI5eRyDkqEcY%20vLUcTm/NekxcKMaU2RyblxydWSwi36F2rNqhC2SxiAutj2VX4mm59nUhAPKQiOZXocTFoiWMTDX+%209VIVNNDwgHSNWDvxXds4qa9RctY6a1MdW6gu5DRMx7XALxGamWBbfQtQxEtUY+4qbbe0pSMBSqg4%201Y4gtzGSr3eJW0dC3D6kHTdGAvdpmdUqbVRmNOftAVadidv5l9p07d5fAwlWkYyMTjIkYHAghIsv%20RkWs9cZGRPhMpAFuKmJkVURqEYywxJJfPvWsjEtDK2lqTAVDLyoZmeYA5YqtOetClcua03Kqu6wo%20vCidURhrOBdaLHbdRHH7tWYetcylPXUOsO+bYclchAuwt0VEWs6vEZO2pTJE6iWsqhwHazqVR8SZ%20RIySRjycgLanQ3ofJA5O+IDc0TCZFUZjHgMnw+lbI3ieiPk5L2HVRwf4m2dssKc+K8z7j/uw+DO7%20ir0HoxedLIQHKvmULeml0eVSn/txXpvaX62P2/kU835Dx7cyMnMfESeOC+uRRxoKhVZnROIicuBP%201lJ6mLuqM9a3DEMxwz5qpOJzLkDI0a4Z44tm6ryiVZQLyFUSi0T29qicSBxoViZAY4x4ha0NWgZy%20JJ7GbkEoKHwSIL5lmxxShmhRKQAIGbYLZIykQSm+JOYZu1bpEiRGSTjyC3N0QTk+JHeFukSJEUi7%208cXdbI3SIpVDiI+wrdI3USM15auY49qz2m/YimpKjOJ8yAA5/wBarXsGFxao2jVbMx11ZGMTKlJ8%20H5E9gC5F3jZwenqiWrd2u5jzOnGRY/sxPPmqrhLZlmjJYV4RwBI7e/NRuDZo4NlM65kXOPYeDZLZ%20QovA2UKEMqmIic8St0t6G6iQmRJBdxjpW1NNSShGSSNQ54N9K26myPpyLnNm7QsLdBHwgaiGbgMc%20MFlfeCmQkxYs+HNZjrQ2R2H5UhE+pVdwCRalnLMdQy5rh+4X/Q+0uY57MXhi2EBa7qW2u8Ls1Cpj%20/YK3tfMviaz2Z4N3q8jU3S98QkBXqASyIOrkvumHbpah/KjysrVJFjAATEhi2fA96tMw9jNWNxEA%20ASbDLNu9UrsDn3oGbtrgEAEseDcFSnA51yBkaN5OEQCT4cu3sVWdlNlWVpMyVLcMJiNTKOkl2YO7%20qpKztoVZWdtC6G5VyDqkWzEXd+xQ/RRB9BENS8nMvOZjIx0g/eK3VumxIrSWxb1rgAvM6i4i0efc%20pYw8CWMPAtK1WZIjqLRL6gHccT7FPCKJoxRbzl4tcWaYIbMqVLoyVLoRSlpH5uxSJG6RbykXwL5/%20SpEiVIt5zBwybE+z9K3SJUiCUiQ7sHJbkpEiRIjNbSxDtxK27TftKJ14VQYVY6ocOahu4kJrVGVB%20rVGHvjGiXpSfS5MTxXOucO6VjqjoWfVuWdK9MxCYaAcuCccuIXMla1aJ5WqVRJ8RhEyLR06yOJ4M%20Fp2Vb8djTsItZEoQDv8AeGMm/Z5qR9X+33m9N2QyqDSB7zRMeTY/StlB1r5kiiRy9/RxA/EBzB4B%20lsnV/wDU3W1SiRjIQJEj4sOb9vYtouqNqUK/EdQIwIYHj/UsUq9UalMsNMQBI5NL7vFZqq+ZlFrc%20t5R1Es0sxpxGTreO5Nb3Pb/y8/8Aaraf7f1rwPMfqJHYt7HSFzDcIAgCA/PX1FDdc72+B+Mrf7ZX%203X25T/Dh8Dl3fmNcXdIzLdOb5W2q/hUGNKRacScGPFUc7FV2HmUs7EV6FOp3npXqu0vraFOdWMos%201Oq+GH2SvmnMcL3OqVGfO+Q4+UJVS18DYzREg8S4OPsXgcrj3GTRyKUdGRmmVzZYxrU+CBWFYaM7%20lcYZAexWLdkzXQljTZi+Kv2sdtrxNaCrMQgZEgH7OosHXocTEoS24VZp+9bpUrFpmQjSB1xIY5r1%20WLYUftO5j2VHbqabvO5yiBJ9JP7sAPhyHauzZtHYxrFTQ9y3WtKvVjpaMyCYnmF3sfFXameksYyS%20RiTIkknjmugkXSulXrUi9OZj3FlrO2pbo1cE90XtTeata1FGtTjUnFxGqc2PYube4i1N12+BCsdJ%201TovAw9Wji8Bhy4qhf4qcPlfcvxLsZeJCQQWOB5LnSTi3VUNwtOhkvBudelbm3oHy6RwmRnLvUTt%20Rcqy1aIPoJy7nqyzc5qd+BOFhMBY6fmAs+HiAsLwMBZr1+4Gd6CIHXHT5OAG42zn/wCrFUeS/Ty+%20DN4KrP0ciQQCMivmSLp9QGqeqhiPT3fZSfw2lUxYPiIlld42v+RCm/ciK/XsetNDxrVqirSp6hiY%20R1fkX2e1FpHiox7W/iRWsPKq4RcfmUktUb3HVG0bbegNKOOkNpdcm/aOPftG87N1DSlRpULiQcBt%20fIcAV5fkuKV2rPPZWG6tozphGURKBBicQRxXhMzjJR6HN1W5FKj2LiXcGvT8DKkU+VF8lWWDBPRG%203eyoU2yCsQxktkauRXGCu27HQ1bJIxXRsWq7LU13Kl38THS1ZIlQwm6bjqiRGJNOBwHM9vJegx7F%20PiXbNrU1+6rEmVR9f3QcHPILpQj0Olbh0MZWq685MJAkni44NwVmKoW4xoQSnI4kthi2AwW6RKlQ%20oFyInwyI7lu7VVqbdjKLipbXMTGpEGY+0AxHLJU7vGRk67Mkh3RMDfUo0fETqiDmP0Klc467DVep%20HQsy7i2p3lIkTgXDl+OfBU5WpLdUJpWn1JpXczEQEtMcyxcdzLT6aRp9JblvUrBscs35lSKJKoEE%205kluY9ikS2JEi3lVfLJtWH5FIo+JKokeLA+zv7+SyzY+8QE6oHz7J/p9KJVBFNgDg2GJGK2TN0ei%20Pk4Ybf1UMCfibZ5D/DmvM+4/7kPgd3F+Q9GLzpZCA031Y6Drdb9I19moXXwleRjOlUIeLxILEOM2%20XW4Xklh5CutdyRHch3Kh5G6y9IvUHpKRqbht0ri0ciNzbPViw+1LQDpftX1bjuexMrSMu2Xg9P8A%20ycuWK0afSqQJw9o4jvXYlFlSUWZK2uJAxZtL6Yx4jtUMkVLkDJULh2Y4/QVBKJUnAvYVwWzEuKhc%20Su4FxGvL7ztmGUbiROBULgtk5xJ4LHaYcBKqTg7HMNisqIUSMzd3z5dqzQ2oUSk+bOtkjZIilN+w%205fpWyRukRSk+WWQPYt0iRIinL7Ob5d62SN0iCUnGGX1qRIkSIp1BEPmHY81mhuo1LeRyiS4IZncf%20skrYlSLerWwBJJlm/ANwWyRLGJirqb3EZBmA55lcrlYpUp1LttekQqHSOOOPYuM1q69A4n2UyRn2%20Fu3isU8TCRTIjvkB7MFmK1MpFMRqIBzORH6E2TMvQ+yGmbAswzHLuTcJ1RRhpPF/qW1dUbH0kAED%20PiTj/wCCxSpgomI4xfA4PkVstdzZHYPlU0H1MqvJiLY6Q2Z1DBcT3C/6H2l3Gqezl4UtBAfJwjOE%20oSDxkCJDmDgiYOQ9afLX0fvtare7bUntV/UMpynB6kJSPOBIAder433bk46UZeuC6f6lW9iRntoz%20gPWXpF150dUnO8s5XlgMY3lrE1RoBzmIjwL33H+4MTLooy7Z+D0ObewpLoavZ31GZBgXbCbZt2hd%20WdtnLu2WtzMW1zhEvn7pVScChctmVoXIcAnMOyqygUp2y8p13IMTjEMzcO1QOBA4Eka8okZszSD5%20/oWrhU1cCr4gyixkYknxYP7RyWv06GvZQplUmxlEtEeEDj3rKiuplRRRKWPheI5Ot0jdIolIRBPE%20cFskZSIJ1HxHEYdnNbpEiiQVJMCPYTyJyUiRLFFvOQJ54AP3LdIlSIJyGJ4AM4PPsUiRIkW8pABz%20gOKkSJUi1qT95ydJbxZEdjKRImijGbjP8Kfh8OeeOPapktC3YWqMbaywMMcMiRg3J+K8ey5cXUuh%20UOghtJ93m4zfsUfZqQ9uoNRyRHBjqbMjhmsJKurq/wBugUfEocMdRAJLRHNbKtTangVw0CmYRxlp%20OuUs2fJzmVo1rrtXQ0da1ZRIBhE/aHBbSab7TdeIeE8T4gMmLYhY7U0qDVEerVISBESxaM8H7X4B%20btG1KaFtcEeRMCRxdoEP3t2KSJLDdHuD5ef+1W1f2/rXgOY/USOxb2OkLmG4QBAEB5J9Wfl262pb%20xuG/bSI7pZ3FSdedOOFeJmdWmMADqX0jgPdti1bVm6u2mif8SlesOtVqcPvbC+sLg299b1LavH3q%20VWJhIewr6BjZtq+q25KSK0otbkCtGpnOneoq221RCcz8K7mA4nvXOzcJXFVL1HPzsJXVVfMdZ6T6%206tasTqJlCWEoyJeDce4rxvI8R3bo8byHFyTN1tN4267H4VQDkJ4E9y8nl8LKOqRwbuJOHQvAIkCQ%20Dg4ghcp8bJdCu4s+t2KSOBJjtIrm4hQgTMgT+zAljLuXSx8Alt2XJmt7xvRrPGnN7aUcjgYnJyvQ%2042LTf5jrY+N27/Majum4F5R1AiIcY+8uxZtnVs2jRd93SJgadM6pRk5m/unsXaxMerqz0OHj61Zr%20c5ynIyJcldpKh1kqFKyZCAIAsAplCJBcOq1/HhOL7kbxkWhXk3pXwqTBYARbU6gJuAsgLACV0AWQ%20Z7oHHrnp/l/EbX/ixVDkq/48qeDMx3P0cGQXzFF4LIMb1JsVtv2x3mz3UpRt72lKjVlEsdMgxYhS%20WbrtzU47p1MNJqjPMnVvy2dabKalfYq8d4sKQ1RpzIpVYwHAB5GZC+g8f7wtSpG+u17VWpy7/GqT%209Jy6ZurG5NruFKpZXQJejcRNKeB4CTEgr19m9bvR7rbUl5HHv4soboylrdAGMtWT5cStLkKnMuWz%20N2d7IB4sJSAMo54LnXbRzrto2jaOop0jGFQOG9138PBlyMrCU0cjIw66o2W13G0uYjTICTAmJ4Ov%20NZXD02RyrmO4lyYDkuTc4uS6EPaxpCjWC67GO1n0AMrEOPlt4Ge0+SnGIeRERzOC6lnFSdepukYf%20cd2p6TGJMYxk2sHH8i7FjGo6lu1YZgbu5mxMywgDqMTgQV0bcF0OhbtroYytUmaocgmDaS7YnEFu%20xWopULkYqhaSzJOb4lSonRb1ZvllwU8IksUWtWeBHDMSB5KeKJYotqlVj9Lg4lSJE0YmNv658uZG%20AYkDMsp4RLdiGqMLZ1nycOThkW7l5bKjW5JdanSuxL4TJH3Q3iIxVOmtCtTU+GpgHwYMBmEivAJE%20UplxxI4LdLobpFVKnGUZElyMhk6w3tQNsjfM8CcQtqmQBhjzx7PasLYHxyw5MSSs+RkgqHAFnxyy%20Ui1JYnon5Nw23dVDMfE2xB76c15f3G/6sfg/3HcxX6D0avOlgIAgKatKlWpypVYCpTmGnCQBBHIg%20rKbTqgcq69+XPonqYVrqxp/wjdZjwV6AakD+tSjpBXpuN91ZWNRSffDwe/3kFzHjLyPPfWnon190%20hUnUq2p3Hbgfw722DluZpx1Sive8d7jxctUr2T8H/E517Daq0afQuxEmmYmBhnGWE494OK7Tj1OZ%20cstbmQpXBYR958seCicSpKBc06/ESALflUbiQygTCvl3YjtWnaadhV53LA8E7THafDV5/wBrn2J2%20jtKDMMCe7+ncs0NkigyJDO62obJEc5BiCSGxWyRskQzkXPAtj3rdIkSIZzjEjg+AWyN0i3qSMS+A%20kPelwbm3NbIlSqQTlH3WLNhHJj281siVIt6h4LZEkTFXeFXSQCYnBgzlc3lf9petbH2LgEjI4H28%20FxHuvEwyvVg4DCOA/PgtaaGtCkvgGGOXFnzWVvUyfY54EPHDAcO9YDKqjfZ5B+fYsRqaxKJAsABj%20HMu62T3NkJOWODniOKwnTfoERmQZ/e088MVul9hukdi+VDX/ADJrEacbUmROfvjJcP3D/YLdilT2%20avClsIAgCApq0qVanKlVhGpTmGlCQEokdoKym06oHL+uvl66L6lMrizp/wAI3CRMvOtw0CTzpx0x%20XpON90ZONo33x8H/ABK93GjM4P1d6QdddIzlOtbHcNv4XluNZERxlTi7L3WB7hxcrSvZPwf8Ti5P%20HNao1W2v6ZBi7VB70CWkPYuvK39xx7thpmSo3JYAYvkXZVpQKcrZd07sM2eDuonbIZWyX4gNlwWv%20Yadh9NeLOP6FY7THYUyrkMwwWVEyoEZl7cXBW1DdIjlUGJzLt2OVtQ2USCR7ebnNSIlSIak8MeOD%20di2SN4ot5nh9HYpESotqs8C5LEsA3FSJEsUW1Yh9PGOf9PzqWJNBGOvpAwlgZADJTLZluytTG0SN%20MCTx1SxYB8HXjGi3PdlxAx0SgH0jAk588Co3bXbQie9SoTiWlEGOoOAc9KykvtMUexG5lEykY6CG%20I5HmJLFO5Uehts9Ceg8gTEMPLJlqGIIOX9a1k9viRz0+8owjgZau3J1um0tWbb9D4ZjUchEDxEYN%207ESo6JaCmhDItGIIAmXIfEEcn7VmMaKiJOpbXEtVFiWni2DYDgpY7ksFr5HuP5ef+1W1f2/rXz/m%20P1EjrW9jpC5huEAQBAEBrnVPp50f1RaTtt422jWFT3q0YiFX2VIgS+lWsXNu2HW3Jx/L7gefuufl%20M3G28676SvBc03Mo2Fx4JQiMWFQk6ivb8Z74nFqN9VXiVbmMm/ScH3np3fdkuJUN2sK9lUjIx/Gp%20ygJN90kBwvoOFyljJVbck/zKk4OLoy2tr+6tqoqUahhIYdh7wrVyzGao0V7lmM1Ro2vaevriiIUq%200WAw18e9cfI4lbrU4+Rw6dXE27bfUClOl4K5pwB8QkXIPY6417i6PVanFvcTJPVVMt/quZBa5JAG%20OHBVf8BeBU/wl4FrW36jUiCaxnKmPA5/OpY4tOm5JHGa6GGvt+pyh7w0k4xdm7CVct49C5axHU1P%20eOoDINTlqeJg2RiSc11cXDq9TtYuFTc1qpVnMkyOea7EYJbHXjFIoW5kIAsMBEwFkA5FaT+VmUWR%20zXjJbv4k4WGZCV6gJTwYCfkAsrcBYjuAhgzvQT/646fYOf4hbMP/AKsVR5JVsS6aP7jeFK6n6ORf%20SHz4r5ki6fUAQBAa91R0B0l1PRqQ3jbaNerOOkXWiIrRDMNNRtQZWsbNvWHW3Jx/IxKKkqM4R1d8%20s2+7XGd30ndi/oxMpfw+uRGoI54VZHH8i9nge8apRyI//wAl/A5uRxkJ7aHMKw3LbLr4bdbSrY3V%20P3oVYmAL/dmQBL2L1lnIs5Ea25KS/H7jzeTgyh00MhbXsZRjLUx+8+KjuWTlXLRlLbcKkC0peFmE%20hngqc7SZSuWEzL2fUFyICfmuY4ATOR7XzVO5iR2oUrmHGuxkYdS3BIeIET9pnVZ4MftKzwkff9RX%20BMcREZy8L+xP8KI/xEWdxulatolMmUgdUwMByZlNCwo7EsbCVaFhVuQ+mRyxw/P2qxGBZjb8Czq3%20BkWBBjI/hxy/vKaMKE8YULScgcT7w94vmpkidIgqz4A9hw5qWESSKLepMg8AGJ1cm7FPFEsUWk5E%20YO0WJIZxjx9qlROkWtWRjHk/FSpE0VUxl6XgRxY9mY5qaJcsrUxFq8XB8JGb4ke3ivK5X9yXxL9w%20vYywDu35Aqrf3ldoGcsT2DDtSiX3ihSWBxxxbtWKGSW2J8yIfElhh9AR+Rh+RTIeLvlyRaIwtil3%20754t2rNEbUKJlx2DtWUjKLetJgzty4reKJYo9GfJs523qou4+Jtm/wDtz4Ly/uT+7H4Hbxl6T0av%20OlgIAgCAID5OEJxMJgSjINKJxBCJg5x136DdDdVQqVhajbtyIPl3VqBTBlzqRiPEu/xvuTKxXRS7%20oeEtfuK88aMjz31l6D9fdKyrXFGj/F9qpD/NUMJiOf7t5Tde+473Pi5NIt/TuPo/47HOvYD1oaHT%20vdEvLrRNKoHBjMGMg36pxXoO2qqtUcy5YaLyldGQBBw58QtHAqyt0JRXGZ9pWvaaOBV5kXd8efet%20aGO0GpHN3OP0LNB2lMqvhLYYA/lWUjZRI5SOIGMRiCS+azQ2SI5HmXHMrY2RDVmSCBi/hESOK2RJ%20FFvUMWZ8JYgkP4efetkSohnN3YYO7nP8qykbpFtUbTJ3A4tmpETRMddSAqx4l2JHFcvlf9pbtrQ+%20RJDOcXd1xGtwysFyGxOLusPRamoDasBk7jisdGD7TzZnH5Fl9DEiqrgdIPJ8MfatYeJiJQW95w/Z%20hgs+RsiiReYybiBg4WyTpobLYjIqVJxpQj5kpHwQiHMieDBZprU3ij0t8sHpN1Ttu6Hq3dafwVrU%20paLa3qD8WoCQdRDvH2ryvPchblH6cdWXrMHGp6cXkyYIAgCAIAgPk6cKkDCcRKEg0okOCO0LKdAc%202659Bui+p4zr0aA2zcj4oXNuBGOr9aEWEl6DjfcuTjOle+Hg/wBxWuYsJ1b3OEdXei/X3SkZV/K/%20iu2wL/E24ep/9qOqQXusD3JiZT7X/Tm+j2+84uTxrTdFoabQ3KlOZgZaZAeKEhpkG5grtytOlTkX%20caUd0XtO5LeGX5VA4FaVsljcFnOPZzWrgaOB988c+OJ7FjtMdglUL4nFjl25LKRlRKDMs7M+Q5c1%20mhmhHObDH2LZI3SIZydzzZh3ZrdI3SIJyYE8MhxZbpEiRbzJwBOMXMuLg8lIiZItZzcHgMSHz/Kp%20UiVIx17OPkyxaTYjipe2qZbtLUxttISABZtRjk7gB2XjZblu4qFzAktKXumOMzgPyKPt1qQvwR9D%20xixDmPhpmRckZ5rD0Wi1G59MdIxA8oDGAHFZlKiqzCdfiTwn+HLMk8OQ5k8uxaSWq8CNrUhlI4jS%20DIYwD5rbd6okSKZSGLRjLVEmWIxI4LYykW9SrogZSkC5DcQewDgyykSxjV6HSfS30E6m68lG9utW%201bHAubirEmpUfhCJ0nH7y5mfy0MfReqRbtWWeyOlOmdt6Z2G12XbgRa2sRGOouSWxPtXicnIlem5%20y3ZejGioZZQGwQBAEAQBAEBiuoOltg6hs52m72VK7pTDPOIMo/syIcKWzfnal3Qbi/Iw0nucC6++%20UylM1bzo668uWcdtuC4J7Ksjh+Re04v3rettRvruXj4fxK8sZPY8/wDU/RfU/TF5O03qwq204f7z%20STSPdUA0lfQuP5zGy/7ctfDqVZ2pR3MPCtOBBicl1JQUiBxTLqnu9/TlqjVL9uIPeFA8S2+hDLFg%20+h9qbveSbxkCOAA/OsRw4ILGguhDXv7ivIyqSxliWwD82UsLEYqiRvCzGKoiAyMi5LlSpUJUj4sg%20IAgCA+KN1W5k+qQwDk60mtDKLI5rxkt38ScJ1MhY6MwEZkLPa9QEi9QFiIKqVKrVqwpUoSqVahEa%20dOAMpSkcAABiSVpOcYR7m6R8wkei/Q35b9yuLyx6p6o12dvbVI17TbmMas5wOqEpnAxESMmxXj+X%205v6idu18viWbdpbs9Wry5MEAQBAEAQGH6j6R6d6jtTb7xY0rqLNGc4gzg/3JEOFLZvztS7oNxfka%20ygpbo4h1f8tF9ayqXXSF6alLMbfdHVMnlGqSAAvYYPu6SoryqvFHNyeKtz1joco3Clvew31Wx3qz%20q2FxT8JNQGVJxyqDwl+9esxsqxkxUrcq/mecyuLnDoT299RrAY4s+GKknZaOVOy4l5SuiIjRIuDg%20CcG5MoJW/Eryt+JL8TMRYyMiYthgxdadiNfpoSupSjM6iHPhiDiPaigYVuhRKtqOouJHEsWGrgVl%20RNlChHOWomRYPm2AWyRulQjnMDAYgjE8At4xNkiCU37B9anUSRItqswQ5wMSxGf9ApYomii2qE5E%204nEl8COCkRLEtKpL8+1TRJ4ox18Q0nxiBj2KSJasmHtKsJOASQ5EScz7V5bKjS46+LOhdjQvIPxP%20Zz+hVGQMr8Ts/wC0UpqYPmPLEYA8UWvmC5ttIJlloPhI7uCil0NG2Qyljqdw+rH6luloZSIySwBG%20WDg81stzZEVSQYscTk+OK2SN4o+7ZtW773f0tt2e1neXteQhCnTDgSODzllEd6xfyLdmLlN0Rcs2%20HN6HsD5fvSnc+gNhvf4pWjO/3WdOtXoQxFI0xKIjqBIPvLxPKZ/+TcUkqJbHVtQ7UdVXNJAgIrqd%20WFvUnSANSIMgDxbFYlWmhiWxDtdzXurKncVoiEqo1CALsDwcLEW2qmtuVY1LtbG4QBAEBoPXHon0%20L1ZTnO4sxZ35cxvbUCnUMj98geILt8d7gysWijKsP+L2IpWYS3R5962+XrrrpnzLvbJfxnbYAzka%20fhqwAyEhIvL2L3nHe7MbIpG5/Tn+BzL+B4HNBdVKNQ0bmE6NWL64VYmEnOQaTL06SarF1Xkc65jt%20E8bl2BBjzxyf9K17Su7ZIJ8BL6Uoa0Puri6UMUKDMOREapDMIbUI5zLcJByGbksmyRHKoGjIky0l%20ye04MFmhuo9CGoZACPYwIyMe1ZRvEiqGOLDDgCtkSRIKr6JY6S2fJSLckjuYy6/egNpcgNy7Vy+W%20/wBpct7ACIYEmRY6SuH103DJACSAQMOHMLWunWhoHB5gDDtWUtNgfRiRIliMATiMFh7UB9qFpFyW%20bFuKwtehhIhMmLBgGcvy71InX7CRIyfTPSvUXVe6w23YbOd3cVGGqOEYgYkymWiAAoL+TbsxcpOi%20JIwPWnpP8tnTnSgo7pvYjue+xOoEj8ClhhpgQfEObrxvIc3cuvth6Y/iXLdtU1O0LhEwQBAEBr+2%207ja1Opr6wF75lW3hCoLbU5Gt3445ZcFEvnepBBNTaNgUpOEAQBACAQxxBzCA551x6HdD9U0p1PhR%20t9+x0XVoBSeR4zER4l3eO9xZWK9Jd0fCWv3eBXu40Z77nBes/RDrvpOMrqhH+M7bSDyr0BpqRjyN%20N5SJXveO9zYuV6Zf05vo9vvOPkcY1saFS3HxypTjKjOGMqdQGMw3DScV33a0qtfgcq7iyjuXkbl2%20yLhROBWdsq88gl8Dhp7Fr2mOw+edJokkYu/as9o7Sk1HlzdZoZUSiUiCSeGbLKRukQVKgMSxcYMB%20hmpEiSKIZnxEA+IYOAwYcByWyN0W1QhiRgHwfFSomiY+/gDTmcBIZlsT3clKm6aFqy9UY+gNNIxA%20984CJ/PwXjJvUtTepcAO7tplLIl9Q7FG66UIalRm0hNg1KTsRqcNyWKN1T0FOnifCANMI6jKPjiH%20z7ysttLQLxJoygIS1ExJ+1wP6q1knVft9pG06ltOo0tRIhLSWwf6fzLaNWtUTKP2n20s77crulYW%20FtK4vas4xhb0okljm7cCsykoqr0RLCDZ6W9IvlhoWZob31rGNW7wnQ2mLGnSxceYQ4m/JeW5LnO6%20sLX/APY6FqxTc9EULehb0YUKFONKjTGmnTgAIxA4ABealJt1ZZK1gBAEBDefE/DVDbECuIkwcOHW%20GDF9MbnuW52s7y6pijTMjCnSzLwJjIk9pCyDNIAgCAIAgLLddk2jd7c2+52dG8oH/d1oRmPZqBW9%20u5KD7otxfig1U4f1/wDKpse5Sq3vS9wdtupkzlbVBrpSJ+zHGOhet4v3jkY/puf1IfiV546ex546%20y9Mus+kLk0d42+pGAci4pA1KRHPXFwF9D4z3Hi5UdJUl4PQqStNGrLvJ1IgsgIAgCAIAgCAIAcit%20J7GUWRzXjJbv4k4WDIWfiwFhSATZaCoWeoM10j0dv/Vm70tr2W1lcV6hAlIBoQB4zlkPaqOZn27E%20ayevgbRi2ewfSD5etg6MoU7/AHaFPc9/Pi86cRKnSOY8uMtTSH3l4TP5S5kt10j4FqNtROvrmG4Q%20BAfJgyiQCxIzQGD6X3O93CNzK7q05VLerOkKdLhEEgGeJxLIwZ1AEAQBAY7e+ndk3y0Npu9lSvbc%20/wC7rREgO51LavTtusG4vyMSSaozivW/y0QlOd/0dfStK3vGwuCZ0yXyptpEF6rjvddy36by74+P%20Uo5HHWri2OPb7tfU3TF78Nv+31rOUZeGr+8hIc9cHiB3r2WFyOPlx/pyVeqelDzuRxM4rYioblGc%20Yy1O5xYuO9WpWTlTsULuN0DywOPBQu0QO2VfEY+1Y+kY7CmVWRGJGeXNbKCMqJRKeBb+6MMVukbJ%20EM6kSTGWPFhmOZdbpEiiQSlk5AMX0tkx5963SJEi3mcHyxfBSIlRbVSc8zie1lIiWJjL+mTEsWcY%20jvUsGXLLMTZUjAmMi5EizHhzXl8x1uS+JfuyqXsDhjhyIzKpFZleGD5jAlYepqMRFsRIZrL8zJPQ%20i83BYUy/0LRumvkaN/iW9SYMywyPHJbqJvFaEFa4pwiTMiIjmVuoNksYNm6+mno31Z17dwq06crD%20Yach5+4VBpMjnphEtI4cVzM/l4WF2x9U/wAEdGxi6VZ619PfS/pXoXbha7PbvcSH499VaVeoSXOq%20bDBeQysq5fl3TdToRikjblXNggCAxPVlPcqnTt/Hba0aF35UjCpN2AAeWX6rrWezNLlaOhgPSI3s%20ujqFS6ujdeZIypGTmUIEBoE9iixk+xEOKpKPq8TdVOWQgCAIAgCA03rb0l6K6xjKW62UY3cg3xtF%20o1hwHiY5Lq8fzWTif25enwexFO1GW55863+WrrDYpTuenp/xmx8RFEFq8ID7xlpifYve8d7wx73p%20vr6cvH/ac+9g+ByWvG5tK86FzQlbXEDpnTqRMSCMDnmvWQlGa7ouqZz52Wtz7GtEnlyfEYcP0LNC%20FxKo1iR4fekSTHt4rFDDifPMeGl/wyAI9hGOKzQzTXzPhnIkzILmIcE4Z/UlAktiOUpCUvE75nms%20m6RFMnh7VsjdEMyMsdQ8TDit0SIx1578TyLy5+1crlV8patbHyAZ2GGcR+lcVphlQkCBiDHh+hap%20mKH0SZzz4DglOgoBqEsMHzdFSlWCipPHEgxy7exls0bRidP9J/QHqbrepTvb6Mtt6fjIGVWYInVA%20zjAfnIXH5DmLdhUXql4FmNlnsDozoPpno7bBt+xWkbemf3tRh5lQ/enIM5XisrLuX5Vmy3GKRsCr%20GwQBAEAQHMemNis7X1U3ow11qlvThdQnKXi1XRkJxkTnEN4VVtRSuSoUrUEr0nV7I6crRdCAIAgC%20AIAgND649Fuh+rYSqXNoLO/xMb21alUMuGsgeILt8b7gycR+mXdHweqIbliM9zz/ANZ+gXXPTOu5%20siN422GEZ0RoqxBxxiSSWXveO91Y2R6Z/wBOfnscrI47rE538XOnWlRrxlRrR8M4VYmBB/ZkxXpF%20BSVVqvI5VzGcd0Si5cOSBHiW/pmtewhdsq84sThiQIjv4rHaa9h88zScyW1NInAkZ4JQz21I5ScF%208IkRJI59i2SN0iOocRry+5+crZGy8iCoWDc1uiSJYXn7moD9akpVFm1ujHW8j5c5gsQdOGX5F42W%205bmtUi4DMYhhKMmp+HCKjckqeZF5lYEvGIgQmTgc37WWamvgUykZaoO7nSSPCR3c1hV6madSmdYG%20nKJGkwxIOLEZFbJGyjqbT6e+mHVPX1/8LtdI0bEEGvudaJ8qmOJiC2r2KnmZ9vHjWW/gWrdhtnr3%200y9Hul+hLGItaQut1mB8RuNUCVQniIEh4x7F4vN5K5ferpHwOhC2oo3xc8kCAIAgCAw3WG73+0dO%20X24bfaSvbyhSlKhbRIBlMDDErEnRNmG6KpoHop1Rvt/W3DbbyPxFnSIrUb2OUZ1fHUpHthI6VBYu%20zmvUVcS/K5FuSpqdYVgthAEAQBAEAQEF9YWV/bStr2hC5t5+/SqxEonvBWYtp1W6ByPrP5Yuht78%20+vtQltN7VJkDT/cxLcKYAwXouP8AdGXj0Tl3x89yGdiL+J52659DevekZTq3Fmb3bwWhd241uOZh%20EykF9C4v3djZDUZPsn4P+JUnYkjn0okSMZAiQOIOBB7V6mMozSaehDsFvXUwFkBAEAQBADkVpPZm%20UWS8Y2ThYp0MhEAidF8AfE+IOq+k/oD1P1vXp3l1Tlt2wDGd3UDSmR9iEMJY/eXneS52Fusbesn+%20BNC1VVPYnRXQHTHR22wsdks4UPCBWuGHm1SOM5s5XjL1+dx1k6lhI2JQmQgCAIC23OhdXG3XNC0r%20fD3NWnKFGv8AcmQwl7CjMM5F6CU653PqL/mqlT4W5NG8jUL+ZVeQ1jscFVsdSq6sqYsJJybeh2ZW%20S4EAQBAEAQFruW17dulnOz3C3hdWtUNUo1QJRI7itoTcXVOjBxrrL5Z9pu5Vbvpa7O13MyZfCzxt%20+6MYhwvT4Huq/ZpG564/iUr/AB9u55M4n1J0p1l0rVlHqHbKlK092nexGume0CGoj2r22DzONlaQ%20lSf/ABZwsjiZx1iY2lfUqg8MxJxgRm/MrpuBypWWt0Ti41YSPae8fdWnYR9lB5urFnOZbgBx707R%2020PkqhA4CQ+yeR/pispBIjlIYiOETiQtkjdIhnLFsGwW6RukW9SQYg82x7ea3RMkWF02iQxcYS5N%202LeJZt7mHtJQJmQwgCRHA4DgvL5S9cl5l+6i9hnh73D+tU2V2VDiBz4YLO32Aag+faD29qwlQxQ+%20eaYwlwBz5MtkmZ7SOjTur27jZWdKVxeVSI0qNMEyJPdkFrclG3Duk9EWLVly2PQvpN8smFHeeu4C%20dSTTpbKGMYNwrZiXPAry/Ic3KcnG16Yrr4nXs48YebPRdnZ2lla07W0pRoW1EaaVKAaMQOAC4LdS%20wTLACAIASACSWAxJKA0brn1G2jb6B2fb4ndt93CE6Nrt1tjM6osZEnwgAF81ex8CVyvd6ILdkcrk%20fHc1zozrO86O2qy2Pqraq236YgRuwBKmXwc6TJcqc42pOOsoraXkdLF4lytVtyUpf8ep0vauodl3%20YTO3XdO48v39L4flAUykmVrtidt0kqGRWSIIAgCAIAgCA1jrH016O6vomO9bfTrV9OmndANVh+zJ%20dHA5bIxHW1JpeHRmkraluee+uvle6k2oVrzpW4/ilpEjy7Cp/mGfgWjBe9473nauUjfXY/8Aktil%20dwV0OMbhbX22XVS03O2qWd1SOmdKpEggjtyXsbNyF2PdbalFnOlZaKI1sQQ0SAwIWziROAEo80oK%20Hwzi2azQUIySsm5HVLRZgXLGPPsW0TaKMZd++G5/Z/rXL5b/AGly3sVDOIMmcZLiVVfNGD6AxfgT%20h7OSw9TB81EYSOMnb2c0/NChcbVtm57ve0tt2u3ne3tY6YUaYeRJ+hlrO5GCcpPQkUKs9Q+kHywW%20G2xob11nCN3uOE6W250qXEa8MZRPIryPI865em1ovEtxseJ6EpUqVGnGlSiIU4ARhCIYADgF5ttt%201ZYKlgBAEAQHyU4QGqchGPMlgiQNI6r9WNg2arX22xfc+oIgC322j705Twj4m0sOK6OPxtya72u2%2031ZpKaTp1NX23p31atbuv1iZW0933KEIXO0aWMKNMvCAmZadQcqpnq2pL6HTdvqW8K1ZUn9Zt18O%20hsG1erFKdzSsd422rt13rNK5MyDGnIZHAYiRwDKjHIXcotUZfnxE3FzttTib3b3dvcAmjMTAzMcQ%20rBypQcXRkqGoQHyJJiCRpPJAfUAQBAEBpXW/pB0T1fTlLcLKNK9IOm+oAQrA9smLrr8dzmTiP0S9%20Pg9iK5ZjLc89db/Lv1r03rutokN62yLylGPhrU4jnqPi9i+gcb7uxr/pu/05/gznXuO6o5fK4q0K%20nlXFKdGrAkGFWJgR7JMvUqKkqxdV5HLnjtEgqxIAB1HEl8seKx2kPafdbhuI91su9YoKHwnMnvJW%20TJFUkTlkzxP1rZI3SMffsaRZuzD6lKq0ZZs7mPtIgwOJAOJILAHky8ZPfQtXHqXGsg6yTGOc3Lt+%20qGWhFToJeGJd9ORqO8tPNYoq16halMjUk0QDOpOQ8ulEGU+TRbism8I1dEdz9KPlp3PfvI3vqwys%20ttkxpbeC1arDN5HFh2ELgcjzcbdYW9ZePQu2MfxPUuzbLtey7dR27bLaFrZ0Bpp0aYEQPyLyVy7K%20cu6Tqy8vAvVGAgCAIAgCAtd0nGG23MpSEYinImRIiBhzKGVucm+W66pDYN1o1K9M1TuFYxgCBIg1%20Jtg+KhspU0ILDrF02qdjUxMEAQBAEAQBAEAQHycIziYyAlGQYg5ELDVQmcy66+XvoDqiFStTtRtm%204l5RuLQCmJTPGpEDxBdvA5/Lxmu2VUuj2I52lI86de/Lr130satxbUhu+10o6pXduAJRGbGmSZn2%20BfQuL952L1I3fRJ/cVbmM1tqctq0qtKZp1YSp1BnCYMSPYV7C3fjNVi6lZqhSpdTARKgCyAgByK0%20mtH8DKLJeNe7JwtUZCAnsrG8vrmFrZ0Z17iqRGFKnEykSewKO7djbVZOiQSPT3o58rtKgLffOt6Y%20q1sKlLZyxjEvgK3vRlhwXieS52V2sbekfHxLMLSVGz0jbW1vbUIW9vTjSoUgI06cA0YgcAAvPt1J%20iRYAQBAEAQGg9bes3SXTVCNKlW/ie8XEjTststnlUqVAdLZMAJZ4q3Zwrk9aenqzVySOadFb7176%20dx3Dd+o+m6s9n3mvK6rTtmNW3M5GURMOfvKplq3ZnSFZR8S5gYELkX61G4+j6/A630x6p9HdR3Ft%20a2F4Bd3UJToUJgxkRTDzGIzi60jci9mZyMG7a+ZaG3Ag4gutyoEAQBAEAQBAQ3dna3ltUtrqlGtb%201Y6atKYeMongVmMnF1To0Yaqch61+Wrpfdpzu+nqh2S9kXNKnhbyP60QDJej473PkY+kn3x8yvfx%20IXFqtThfV3p31z0bUkd3spVrCDxjuVuNVI9jYy+he4473BjZdEvRJ9GcbJ4tx1jqjXaG4UqkROM9%20QY5uPygrtuJy52HF0aJ41wwY9754rHaROANVwxIZ+HIJ2jtKJTBwzb3faspGyRDUlpHLnLktjeKM%20ffahCRDjBwR9ZUlvctWdzEWRJgSXJMiSeK8vlr+pKn/JnQvIvgQQ+Y4KmViokZHLIPmFhIxQonVi%20ATI5YFbKLr+ZsomydBemvV3Xl2aOzUfJsoS8u43KqCKMDn+0S3JUM3kbWOlX1S8C9Yw+7VnrP0z9%20GelehaHmWtP4vdqg/G3GsAamQeMSwaLryGXnXMh1m/sOpbj2qiN/VM2CAIAgCA1Tqm23Hc9xp7Pb%20XNzZ0LmlMV69PTobScIkuX5q/iyjCPe0pNPRGstdC39PfTLaukKVacJyu76tI6rurjMR4RBW3Icn%20PJlV6LwMW4dqpU2y9sbW9tqltdU41aNQaZRkHXNaqSwm4uq3NP8A5bWu3S+I2etOndTaFQyOBgC7%20FlD9BLY6r5aU9Lq7kbrRhopRiwDBmGSnTqclurKkMBAEAQBAEAQBAYHqnoXpTqi1Nvve3UrsMRCc%20g0ok8QQ2IV3D5G/jS7rUnE1lBSVGefOuflT3KyjUvOkLw3dKLzlYXH7wn7tPSGPtXvOO97Rl6ciN%20P+y/eUruJWrRw3eNq3rY72dlvNjVsrmn79KpFi/fkvbY2Ravx7rUlKJSnjuO5bCtAsRJ+AU3ayFx%20Y1wYF8JZLFBRkciDICBbViTHNbLzN15mOu5DW7kh8XzIXK5ZfKWra0EPdJDauPLsXFqq0DPkpxwl%20jGQwPPFYpXcJG9emfo51Z1/eCdjS+E2gFq+5VQRBhnGLO8uWC5+fydvHWusvAmt22z2F6b+kfSfQ%20e3wo7bbirft+PuNUA1pk8HGAA4LxGbyNzIfqengXYx7VQ3ZUDYIAgCAIAgMR1TaXV3tRoW1Lzpyq%20Q1wcDwavFn2KzizUZ1bpoayVTG7R6cdL7dvdPfqFpp3OMDAVZMSBIMQpbvI3p2/puXo8BGCRtKom%20xjtw6f2fcKkqt1a06tYx0eZKLlhl+RayjUntZNyFFGTSGybRDarY21Mg0nMgftOc3WIW1HYzkX/q%20OvUyK3K58MoggHOWAQH1AEAQBAEAQBAah1t6U9FdYW84brYxFzL3b6iBGvHumxXV47mcnElW3LTw%206EU7MZOr3PPXXXy09W7FOpc9Nz/i+3lyKBIFenCPMnSD7F7/AIz3lYvUjfX05+P+1lG7gV2OSV43%20VrXlQvKFS1rxOiUKkTEgx7SGXroOM1WLUkc65YcX8B5rxOPAe3ms9pD2gyBwHHly5IKFleylokAc%20g7D86k6MsWlqY63INN21EyZjmQvGT3ZbnuTiYEvs+/mRxZaUIqGT6X6V6g6q3Sltmw2srm5qDTKp%20ENThF8SZHAKG/kQtR7pOhNC23uetfSX5etg6Opw3DeI0916gcTjcyi8KMv8A5YkHB7V43kOYne9M%20PTD8/idC3ZUdTry4xMEAQBAEAQBAan6ieoNl0dsFTcjS+NuPMjRo2lOcROVSYJGZywVrDxJX7ihH%20TzNZSojkNS+9TfWa8nZWNX/TvR1HTG7rQk9SvqDypvAl+IyXUnZt4L9X9S7+CNPn12Rs1/8ALzbb%20dbW9bpDdbjbt0tgCKtSZkJEDPwgMSvPZEPqTdxemT8NjrYefG1D6coRlb/ExkfUP1U6dMdu3inQr%20XVnUiasJ051KtzbkvKUKkTpEtOTqBzuR3oXlhYt1d0G4/Ho/A6v011rtXUNKjKxE/MnEyr0pxMZU%20SB7s3AVjuT2OPex5W21I2BbEAQBAEAQBAEAQBAEBofXHop0H1hGVS+shbXpc/GWwjCqSfvFi66eB%20zGTiv+nLTwexpK3GW55167+WHrTYvMutkbebIEy0U2jVhAfe1GIl7F9A4z3vbnSN5dsvHoVLuO09%20Njjt1aXVpWlRuqM6FWBIlCpExLjvXt8fKt3lWEkys1QiVgwFiutADke5aTej+BlFlxXjZKj86k4W%20NNfAybX0B6ZdVdcbiLXZrWUqECPiLuWFOnF8ySz9wXMz+Ut40X1mbwg5Hsv0v9Eekug7UVLekLzd%205kSq7hWAlOJZjGkWGmPYvB5mfcyJVm/sLMYUVDoipm4QBAEAQBAa31bT3O5q2llZTuaAryapc0NO%20mmHZ5PxUlrtTq/uDfTozXOhPQ/pzpPfLjeo3Fbcb2sZGnO60y8vzC89LD7RVvJ5O7eioOkYLZI1U%20EnU6NKMZDTICUTmDiFQNjR9w9IemLm6rXtKEqN3IyqUDHCNOqcdUW7VG7arVF2GdcUe2vpNp2Kwu%20LDbKVrcTjUrQHjqRfxH7xfiVukVrslKVVsZBZIwgCAIAgCAIAgPk6dOpHTOIlE5iQcfSgOVdc/Lv%200b1Eat1YCW0bhN5eZbsIynzmC/0Lvcb7iyMXRPuh4MguY0J7o4H1l6P+oXSEpVri1O5bdHGV9aAm%20MYjLzBJj+QL3XH+5sbI0l6J+e32HLvcZpWJptG/hV7C7MQRlnmvRU0qjlTsOO5MK7jBnx/IFihH2%20FEqg97mGLcf/AAWTKj0LK7/dEOzg93tW8Nyzb3MRZN44vgMARkSF5fL/ALj+Jeu9C8EyAeMv6OAq%20jS1IKEdSuX004mpKchGEIh9ROTNxdZokqt0RJbtN7HcvSv5Zd03g0t46zMrOxwqUdrjhVnLP8VwR%20pbkV5vkOd/22dvHy8jqWsVR33PT+07Pte0WVOx2y2ha2lINCjTDABeZlJydWy2XiwAgCAIAgCAMH%20dseaAIAgCAIAgCAIAgCAIAgCAIAgMT1B0l051FaStN62+le0JZxqDH+9Fj9Ks4uZdsS7rcnGSNZR%20T3OFde/KlbVZVb7o+7+HqyxFhX/dAcoSAlL8q9txnvaUaRyF3L/ktytPETOA9T9H9U9KXnwm92FW%201Op6czE6JxyeJ5L3mFyFjKj3WpJ/mijOy1uYQSBi4xJLiXH/AMVdoRtFldO8S2kE4MuTy3+0sWxb%200K9zcUqFvSNavUlopUoAmUpksAAuHKSSq+hulXQ9Gej/AMr1e4NDe+tomnSBFSjtHGQz/F5ewry/%20I88l6bOr8f4FmNnxPTu37dY7daU7SxoQt7akBGnSphogBeUnOUnWTqywlQuFoZCAIAgCAIAgCAIA%20gCAIAgCAIAgCAIAgCAIAgCA1zq3096T6rtZ0N4sKdaUgGrsBUi3GMlfweTv4su63Jo0lbUtzz915%208rm97cal70lcm+tg5G31j+KOyJ8MV73jPesJ0jkLtf8AyX7yjdwvA4nudnum03U7TdLSpaXMMDTq%20RbHvyXt7F23ej3W5KUShKw0WFzMTpAuJcA3PipWmk6C2qMx8JCGpsA2QzPcvGS1LTVTqnpR6CdSd%20dVKN9fiW2dPQPjqyDTqjiKQxx7SFx+R5a3j+leqZPas1PXnRfQ/TvR2zw2rZLYUaI8VWphrqTZtc%20zxK8Vk5U70u6bqXYxSM+q5sEAQBAEAQBAEBzw9AbT1DvV/W6g2QxEa0Z2tYmJhOIDEMCTirayZW6%20KDNd90blsXTux7BZfBbNZUrG0BMvJojTFzi6r3LspusnVmxkVoCGtZWlacalWjGc44xlIAkLFEZT%20oY/benLaw3Cvf0qs/NuT+NFxpkB7uDfZfBYjBJt+JNO+5RUXsjLLYgCAIAgCAIAgCAIAgCAIDVOs%20fTDovq6lIbxt1OpcGJjC7iAK0HDPGSuYefexpd1qTiayipbnn3rf5Td7sYVrvpi8F/Qi3l2NbC4O%20P3mjDBe6473z/tyI/atitLF10Zw/eun962S8qWe62dS0uKR0zhUjgDlmMF7zC5SxkwU7ck0yrKDW%205jzkVdm9DVFmIylJogyJyADleLk0qtuhYO2+jvy3bv1VGlu/Ucam3bHUiKlvEMKteJyIGOkHtXle%20T5/trCzq/F7E0LTrqeuOnOmdj6c2yntmzWlO0tKeVOmGcs2o9q8hObk6ydWWEqGUWpkIAgCAIAgC%20AIAgCAIAgCAIAgCAIAgCAIAgCA+SjGQ0yAlE5ghwgNA6y9DugepoVak7GNjuNRyL+3cVA+fhJ0/Q%20utg83k4z9En2+BFOxGe6OAdY/Lz17055lxtkP43t8CTGNFzcCPOUWAw4r3OB7usXaRvLsl4/7TnX%20+O6xOZfEGnVnSqRNOtTJjVpSDSjIYEEFerhKM1WLqvE5tzHlF0aIbicZRJ7C5HJSxVBBUZirVo6/%20uy4H3m4OvL5Krcl5yZeua0Nh6P6L6r6z3CNjsFpUrAERr3ZH4VKP3pFcvLz7WOqyfq8CW1jNvU9Z%20+lfoJ030ZGlf3UI3+/aRruph4wkc/LBb6QvGZnI3L+jfpOjbtqC0OpgNgFzyQIAgCAIAgCAIAgCA%20IAgCAIAgCAIAgCAIAgCAIAgCAs902ba91talruNrTuaFWJhONSIOB7cwpbV6duSlFtNGHFPc4Z15%208qWx3/n3nS1wdvuSHpWM8aGr9s6pBe04z3ret0jfXfHx6laWKuhxQ/L96mV+oY7GdrlSmZBr46vh%20tAwMhNssV3+S9wYlyzG5GVfL/d9xFCzJSoz076U+hPS/QtrC4nTjf75KP419VD6XxMYDJhzZfPeQ%205a5kOm0PAtRtJanTVySUIAgCAIAgCAIAgCAIAgCAIAgPgjGLsGcue9AfUAQBAEAQBAEAQBAEAQGC%206p6I6Y6osza71YUrqDHROQ8UTziQrmHyF7Gl3WpOLMSinozz31/8qd9a053fSNybuLkysq58bHhA%20gAYdq99xnvdS9OQqabr95TnidYmX9I/lettuq0t56z0XVyGnQ2uLmnA8PNcYyB5Fed5TnnOTjZ0X%20j/Alt2aas9EUqVKjTjTpQEKcA0YRDAALzDbe5YKlgBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQ%20BAEAQBAEAQGJ6h6U6d6ispWW9WFK9t5ZwqRfHm4xUtm/O1Lug3GRhpM4F118pdOcql30lfeXqJkb%20K6xiHPu0zEZd69px3va7bXbeXevFble5jp6ozvo/8tG2dNTpbz1NKG4bzGRlRt440KQIwwkHM+fB%20cHk+auZDaXpgSxtRSO6xjGERGIEYjAAYABcQkbPqAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCA%20IAgCAZ5oDTOt/SPojrCif4nYQhds1O8pDRUj/dIB9q6GFyuRjSrbk0azgpbnnvr35aOr9jFW66dq%20/wAX2+DyFIhrgRGLCIDH8q95xnvK1NqOQu1/8un2lC5g9UWXph8tfUnUtwL/AKnhV2baBPUKEo6a%209UZtpP2Jc1xuW9wRU2rGtepNax6bnq/pvpfYum9spbbstpC0tKQaMIDE98jiV46U5SdZOrLdDKrU%20BAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBg78UAQBAEAQBAEAQBAEAQBAEAQBAEA%20QBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQ%20BAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAAAAwyQBAEAQBAEAQBAEAQBAE%20AQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEA%20QBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQ%20BAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQB%20AY/d98sdojRq7gZUbOrMU53pA8mlORAh50neAmSwkRpfAkOHAyCAIAgCAIAgCAIAgCAIAgCAIAgC%20AIAgCAIAgCAIAgCAIAgCAIAgCAIAgI7mvC3oVK9QTlClEykKcJ1ZkDHwwpiU5HsiHQGA6F682XrX%20arnc9nhcU7a1u6tjMXVPyZmrQEdZECTIDxN4mPYgMnvO+WOz0YXW4aqViZaa16wNKi5AjKsXeECT%2077aR9ogIDIAghxiDkUAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQB%20AEBj9p3yx3OVzSomVK8spine2VUCNajMh464gkNIYxlEmMhjElAZBAEAQBAEAQBAEAQBAEAQBAEA%20QBAEAQBAEAQBAEAQGr9f+ouw9DbZR3DeKV3Vo3FaFvSFpQlV8dQ6YiVQ6aUP7cw/B0BmDvljDeY7%20PXMre9qwNSzFUARuIQANTyZAkSNN/FHCQzbSxQGQQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEBz%20TqTrbr+2/wBU31rQ27Y9n6b8NpV3ujWI3OUaIrSNGuK9rTowJ8EZNUx7mQGydKbzZde+nlhud7Zi%20nadQWD3djI64iNaBhVpuw1RzALZIDWvl66nvt79PRabjWlcbh07e3Gx3VzJyahszHy5kyxkfJqQc%208SgOmIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCA8/eml36o0+nerf8A%20RFjtVWVDqbd6lSe7VKz15eaPwaFOhp0lh79SYDlm4oDp3pv1rY+o3Qw3K5sPhZVzXsN32uqdYp1q%20ZNOtSJYaoyBfLIoDB/L51Fd7j0dfbLe1ZV7vpPdLvYjXmSZVKNrIeRIyObU5CHPwoDp6AIAgCAIA%20gCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCA1vrvrGHTG3WcqVAXe67te0Nr2eyl%20Py41bq5k0fMmBPRThESnOWk4DmyAxNrv/qPt/Xe3bDvO3W+6bJutCtVG+bZbXFvTsa1GJn5V15ta%206jITYRhPVDUT7qAwvqVu0+l/VLoHe6B0U99uKnTm6wD/AI0LgxlZkgYPRrkkE5CUuZQHVEAQBAEA%20QBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQGv9edZ7b0Z0rfdQ7hCVWlaRiKVtT/AHlatUkIUqUO2c5A%20PwzQHG/mEl6kfy7squ/Da5WdzuVgbm0sqdeFazqebqiPPqVakLmLjQSKdPHFmQHQfXuFzR9NNw3u%20xmKO7dPVKG77ZcYvTrWtWJllwnSM6chxEiDggNy6b3qjvnTu173QiY0d0s6F7SicxG4pRqxH5JID%20IoAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgOGWsOpq/VXXNv1F0tuO779UuLqHSW5ypCW3UdsnT02%208KFeofKoTHvVdH4kyciQyA3D0Mlf2PpTstpu+3XWz1drtBRuI38PIm9MyM5eXI64wHOYD8mxQGN+%20W7aru26Bu95uozhLqjdr3fKVOoGkKNzKMKRZhhOFETHZJAdVQBAEAQBAEAQBAEAQBAEAQBAEAQBA%20EAQBAEAQBAEAQBAEAQBAEAQBAEBx3013Ddei6PVGz7v0/u89wut83Dcts+Fs6lzb3VK6mJUhC6pC%20dvSkWx8+cAOaA2z0k6Ov+kukqlHd50xum5Xl1u25QpyBpUa13PWaUZNEEU4gRJZndsEBr3y67Zcx%206b3/AKjr6tHVe/X+72moMTbVammlNiB7+gyB4xIQHV0AQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQB%20AEAQBAEAQBAEAQBAEAQBAEBzb116W6o3jp/ad26Vpi537pfdLfeLSxkQBcChqjOkHIxIk+eIBGZC%20AvOkOvep+rbq1jHpTdOmrSgTPdbjeaUKJkYxIFC1gZGpU1TIJqyhEaQeJDAYT1d2+vv3qH6abDbE%20mdruk9/vNOIp0NsEJCc8CwnUqCmO0oDrCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIDnvrx0%20RvPWPpzebZshB3i2rUb6xpSlpjVqW89XlkkiPii+nVhqZ2zAHP8A1Q6k6u6/9M7bb7XojfbXe4X9%20lU3G1rWhp04To1QZ+TOpKJqwJ92YGkDGRigN89ctxuP5Ob5GnbVad/utCnt9pYS0Sryr31WFCFEC%20nKpEyPmZRkUBt/R+yy2LpLZNjnPzJ7VYWtlKp9429GNIn26UBl0AQBAEAQBAEAQBAEAQBAEAQBAE%20AQBAEAQBAY3f9khvVkduua0obbXBjf28MJV6Rzomo7xpzDiYAeQwcYuBkKdOnSpwpUoCFOAEYQiA%20IxiAwAAyAQFSAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAx2+7P/GL%20GW31bidGxuAYXsKXhqVaR96kKgLwjMYSMRqbIxOKAvbe3oW1vSt7enGjb0YRp0aUAIxhCAaMYgYA%20ABggJEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAYrbOn6FpuN1%20u1efxW73sYUq13IadNGmSadClFzopRlKUmckyJJJQGVQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBA%20EAQBAEAQGKu+n6F9vFruN/P4iG3SNXbbQhqVKsYGBryDnXVEZSjA5RBLB8UBlUAQBAEAQBAEAQBA%20EAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAE%20AQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEA%20QBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEB//2Q==" height="316" width="980" overflow="visible"> </image>
          </svg>
        </div>
      </div>
      <div class="fig"><span class="labelfig">FIGURE 6.&nbsp; </span><span class="textfig">Finite element model verification: a) Beginning of formation of the soil flaw area, b) c) and d) Soil removed of the flaw area.</span></div>
    </article>
    <article class="section"><a id="id0xf9e8880"><!-- named anchor --></a>
      <h3>CONCLUSIONS</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <p>The
        behavior of the bent leg draft efforts along the displacement through 
        the soil block shows coincidence with the works carried out in previous 
        investigations. The force increases abruptly at the beginning of the 
        interaction soil-farming tool, reaching its maximum value (14.1 kN). 
        Then, it is stabilized a little in values smaller than the maximum as 
        the tool moves with tendency to decrease and it diminishes to almost 
        zero at the end of its displacement. The model FEM shows similarity with
        the analytic model of Swick-Perumpral in the process of formation of 
        the soil flaw area. </p>
    </article>
  </section>
</div>
<div class="box2" id="article-back">
  <section>
    <article><a id="ref"></a>
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      &nbsp;<a href="#content" class="boton_1">⌅</a>
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      <p id="B26">LYSYCH,
        M.N.: “Review of numerical methods for modeling the interaction of soil
        environments with the tools of soil tillage machines”, En: <i>Journal of Physics: Conference Series</i>, Ed. IOP Publishing, vol. 1399, p. 044014, 2019, DOI: doi:<a href="https://doi.org/10.1088/1742-6596/1399/4/044014" target="xrefwindow">10.1088/1742-6596/1399/4/044014</a>, ISBN: 1742-6596.</p>
      <p id="B27">MARÍN, C.L.O.; GARCÍA DE LA FIGAL, C.A.E.: “Model of Soil-TillageTool Interaction Using Finite Element Method”, <i>Revista Ciencias Técnicas Agropecuarias</i>, 28(4): 40-50, 2019, ISSN: 1010-2760, e-ISSN: 2071-0054.</p>
      <p id="B28">MILEUSNIĆ, Z.I.; SALJNIKOV, E.; RADOJEVIĆ, R.L.; PETROVIĆ, D.V.: “Soil compaction due to agricultural machinery impact”, <i>Journal of Terramechanics</i>, 100: 51-60, 2022, ISSN: 0022-4898, DOI: <a href="https://doi.org/10.1016/j.jterra.2021.12.002" target="xrefwindow">https://doi.org/10.1016/j.jterra.2021.12.002</a>.</p>
      <p id="B29">NADERI,
        B.M.; ALIMARDANI, R.; HEMMAT, A.; SHARIFI, A.; KEYHANI, A.; TEKESTE, 
        M.Z.; KELLER, T.: “3D finite element simulation of a single-tip 
        horizontal penetrometer-soil interaction. Part I: Development of the 
        model and evaluation of the model parameters”, <i>Soil and Tillage Research</i>, 134: 153-162, 2013, ISSN: 0167-1987.</p>
      <p id="B30">RAO, G.; CHAUDHARY, H.: “A review on effect of vibration in tillage application”, En: <i>IOP Conference Series: Materials Science and Engineering</i>, Ed. IOP Publishing, vol. 377, p. 012030, 2018, ISBN: 1757-899X.</p>
      <p id="B31">SOIL SURVEY STAFF: <i>Keys to soil taxonomy</i>, Ed. USDA Natural Resources Conservation Service, Washington, DC, USA, 346 p., 2010.</p>
      <p id="B32">SRIVASTAVA, A.K.; GOERING, C.E.; ROHRBACH, R.P.; BUCKMASTER, D.R.: “Machinery selection and management”, En: <i>Engineering Principles of Agricultural Machines, Second Edition</i>, Ed. American Society of Agricultural and Biological Engineers, p. 525, 2006, ISBN: 1-892769-50-6.</p>
      <p id="B33">SWICK, W.; PERUMPRAL, J.: “A model for predicting soil-tool interaction”, <i>Journal of Terramechanics</i>, 25(1): 43-56, 1988, ISSN: 0022-4898.</p>
      <p id="B34">TERZAGHI, K.: <i>Soil Mechanics</i>, Ed. Wiley, New York, USA, 1943.</p>
      <p id="B35">UCGUL,
        M.; SAUNDERS, C.; FIELKE, J.M.: “Comparison of the discrete element and
        finite element methods to model the interaction of soil and tool 
        cutting edge”, <i>Biosystems Engineering</i>, 169: 199-208, 2018, ISSN: 1537-5110, DOI: <a href="https://doi.org/10.1016/j.biosystemseng.2018.03.00" target="xrefwindow">10.1016/j.biosystemseng.2018.03.00</a>.</p>
    </article>
  </section>
</div>
<div id="article-footer"></div>
<div id="s1-front"><a id="id2"></a>
  <div class="toctitle">Revista Ciencias Técnicas Agropecuarias Vol. 31, No. 3, July-September, 2022, ISSN:&nbsp;2071-0054</div>
  <div>&nbsp;</div>
  <div class="toctitle2"><b>ARTÍCULO ORIGINAL</b></div>
  <h1>Predicción de Fuerza Traccional de herramienta de labranza estrecha mediante el Método de Elementos Finitos</h1>
  <div>&nbsp;</div>
  <div>
    <p><sup><a href="https://orcid.org/0000-0002-2545-8865" rel="license"><span class="orcid">iD</span></a></sup>Luis Orlando Marín Cabrera<span class="tooltip"><a href="#c2"><sup>*</sup></a><span class="tooltip-content">✉:<a href="mailto:luismc@unah.edu.cu">luismc@unah.edu.cu</a></span></span><a href="#aff2"></a></p>
    <p><sup><a href="https://orcid.org/0000-0001-7658-563X" rel="license"><span class="orcid">iD</span></a></sup>Armando Eloy García de la Figal Costales<a href="#aff2"></a></p>
    <p><sup><a href="https://orcid.org/0000-0002-0539-1114" rel="license"><span class="orcid">iD</span></a></sup>Arturo Martínez Rodríguez<a href="#aff2"></a></p>
    <br>
    <p id="aff2"><span class="aff"><sup></sup>Universidad
      Agraria de La Habana (UNAH), Centro de Mecanización Agropecuaria 
      (CEMA); Facultad de Ciencias Técnicas, San José de las Lajas, Mayabeque,
      Cuba.</span></p>
  </div>
  <div>&nbsp;</div>
  <p id="c2"> <sup>*</sup>Autor para correspondencia: Luis Orlando Marín Cabrera, e-mail: <a href="mailto:luismc@unah.edu.cu">luismc@unah.edu.cu</a> </p>
  <div class="titleabstract | box">RESUMEN</div>
  <div class="box1">
    <p>El
      Método de Elementos Finitos (MEF) ha sido utilizado para predecir el 
      comportamiento del suelo removido por la herramienta de labranza, así 
      como la fuerza de tracción necesaria para su rompimiento. El objetivo 
      del presente trabajo es analizar, mediante un modelo de simulación de la
      interacción suelo-herramienta de labranza en elementos finitos, el 
      comportamiento de la fuerza de tracción de la herramienta de labranza 
      estrecha de un subsolador vibratorio, labrando un bloque de suelo 
      Ferralítico (Rhodic Ferralsol) y utilizando la forma lineal del modelo 
      elastoplástico de relación constitutiva de Drucker-Prager extendido. El 
      software empleado fue <i>Solid Works</i> y su complemento <i>Simulation</i> para modelar, tanto la herramienta del subsolador como el bloque de 
      suelo. Las propiedades mecánicas del suelo fueron asignadas al modelo de
      simulación, en función de la humedad, densidad, profundidad de trabajo y
      velocidad de avance de 0,65 ms<sup>-1</sup>. Los resultados mostraron 
      la confiabilidad del MEF para predecir el comportamiento de los 
      esfuerzos de tracción de esta herramienta de labranza. </p>
    <div class="titlekwd"><b> <i>Palabras clave</i>:</b>&nbsp; </div>
    <div class="kwd">MEF, fuerza de tracción, modelo de simulación, propiedades mecánicas del suelo</div>
  </div>
</div>
<div class="box2" id="s1-body">
  <section>
    <article class="section"><a id="id0xd2daf00"><!-- named anchor --></a>
      <h3>INTRODUCCIÓN</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <p>La
        labranza, en el sentido agrícola, es la manipulación física del suelo 
        para lograr las condiciones requeridas del mismo, necesarias para un 
        crecimiento adecuado de las plantas y producción de las cosechas (<span class="tooltip"><a href="#B30">Rao &amp; Chaudhary, 2018</a><span class="tooltip-content">RAO, G.; CHAUDHARY, H.: “A review on effect of vibration in tillage application”, En: <i>IOP Conference Series: Materials Science and Engineering</i>, Ed. IOP Publishing, vol. 377, p. 012030, 2018, ISBN: 1757-899X.</span></span>), es uno de los mayores consumidores de energía de la producción agrícola (<span class="tooltip"><a href="#B8">Dehghan &amp; Kalantari, 2016</a><span class="tooltip-content">DEHGHAN, H.H.; KALANTARI, D.: “Design a biomimetic disc using geometric features of the claws”, <i>Agricultural Engineering International: CIGR Journal</i>, 18(1): 103-109, 2016, ISSN: 1682-1130.</span></span>),
        cerca de la mitad de la energía utilizada es consumida en la operación 
        de cultivo debido a la magnitud de las fuerzas de corte generadas cuando
        se rompe o desmenuza el suelo (<span class="tooltip"><a href="#B2">Armin <i>et al.</i>, 2015</a><span class="tooltip-content">ARMIN, A.; FOTOUHI, R.; SZYSZKOWSKI, W.: “On the FE modeling of soil-blade interaction in tillage operations”, <i>Finite elements in analysis and design</i>, 92: 1-11, 2014, ISSN: 0168-874X.</span></span>), debido al tráfico de la maquinaria agrícola y la consiguiente compactación (<span class="tooltip"><a href="#B28">Mileusnić <i>et al.</i>, 2022</a><span class="tooltip-content">MILEUSNIĆ, Z.I.; SALJNIKOV, E.; RADOJEVIĆ, R.L.; PETROVIĆ, D.V.: “Soil compaction due to agricultural machinery impact”, <i>Journal of Terramechanics</i>, 100: 51-60, 2022, ISSN: 0022-4898, DOI: <a href="https://doi.org/10.1016/j.jterra.2021.12.002" target="xrefwindow">https://doi.org/10.1016/j.jterra.2021.12.002</a>.</span></span>). </p>
      <p>La
        predicción de los esfuerzos de corte, distribución y tamaño de los 
        terrones y la erosión del suelo debida al cultivo está entre las mayores
        motivaciones para la simulación de la interacción suelo-herramienta de 
        labranza. La combinación de los datos de campo y los experimentos de 
        laboratorio con modelos matemáticos, permiten pronósticos más rápidos y 
        precisos la interacción de nuevos diseños de herramientas con el suelo (<span class="tooltip"><a href="#B24">López, 2012</a><span class="tooltip-content">LÓPEZ, B.E.: <i>Simulation of soil and tillage-tool interaction by the discrete element method</i>,
        Catholic University of Leuven, Faculty of Bioscience Engineering, Tesis
        presentada en opción al grado científico de Doctor en Ciencias 
        Técnicas, Belgium, 2012.</span></span>).</p>
      <p>En la modelación del cultivo del suelo, modelos experimentales y analíticos aparecieron en los años cuarenta del pasado siglo (<span class="tooltip"><a href="#B34">Terzaghi, 1943</a><span class="tooltip-content">TERZAGHI, K.: <i>Soil Mechanics</i>, Ed. Wiley, New York, USA, 1943.</span></span>).
        Posteriormente, la predicción de las fuerzas de cultivo fue investigada
        por los métodos numéricos, los cuales han adquirido auge en las últimas
        décadas debido al desarrollo acelerado de las técnicas de cómputo (<span class="tooltip"><a href="#B19">Herrera <i>et al.</i>, 2015</a><span class="tooltip-content">HERRERA,
        S.M.; IGLESIAS, C.C.E.; JARRE, C.C.; LEÓN, S.Y.; LÓPEZ, B.E.; GONZÁLEZ,
        C.O.: “Predicción de la resistencia del suelo durante la labranza 
        mediante los modelos de presiones pasivas”, <i>Revista Ciencias Técnicas Agropecuarias</i>, 24(3): 5-12, 2015, ISSN: 1010-2760, e-ISSN: 2071-0054.</span></span>).
        De los métodos numéricos, el Método de Elementos Finitos (MEF) ha 
        tenido gran aceptación para la simulación computacional de la 
        interacción suelo-herramienta de labranza de acuerdo a <span class="tooltip"><a href="#B12">González <i>et al.</i> (2013a</a><span class="tooltip-content">GONZÁLEZ,
        C.O.; HERRERA, S.M.; IGLESIAS, C.C.E.; LÓPEZ, B.E.: “Análisis de los 
        modelos constitutivos empleados para simular la compactación del suelo 
        mediante el método de elementos finitos”, <i>Revista Ciencias Técnicas Agropecuarias</i>, 22(3): 75-80, 2013a, ISSN: 1010-2760, e-ISSN: 2071-0054.</span></span>; <span class="tooltip"><a href="#B14">2013b)</a><span class="tooltip-content">GONZÁLEZ,
        C.O.; IGLESIAS, C.C.E.; RECAREY, M.C.A.; URRIOLAGOITIA, S.G.; 
        HERNÁNDEZ, G.L.H.; URRIOLAGOITIA, C.G.: “Three dimensional finite 
        element model of soil compaction caused by agricultural tire traffic”, <i>Computers and electronics in agriculture</i>, 99(1): 146-152, 2013b, ISSN: 0168-1699.</span></span>, debido a su potencial para describirla en 3D, según <span class="tooltip"><a href="#B16">Herrera <i>et al.</i> (2013)</a><span class="tooltip-content">HERRERA,
        S.M.; GONZÁLEZ, C.O.; DIEGO, N.F.; RUIZ, V.J.; LÓPEZ, B.E.; IGLESIAS, 
        C.C.E.; SÁNCHEZ, I.A.: “Simulación de la respuesta mecánica del suelo en
        la interfase suelo-herramienta de labranza”, <i>Revista Facultad de Ingeniería Universidad de Antioquia</i>, (69): 77-88, 2013, ISSN: 0120-6230.</span></span>; <span class="tooltip"><a href="#B29">Naderi <i>et al.</i> (2013)</a><span class="tooltip-content">NADERI,
        B.M.; ALIMARDANI, R.; HEMMAT, A.; SHARIFI, A.; KEYHANI, A.; TEKESTE, 
        M.Z.; KELLER, T.: “3D finite element simulation of a single-tip 
        horizontal penetrometer-soil interaction. Part I: Development of the 
        model and evaluation of the model parameters”, <i>Soil and Tillage Research</i>, 134: 153-162, 2013, ISSN: 0167-1987.</span></span>; <span class="tooltip"><a href="#B21">Ibrahmi <i>et al.</i> (2015)</a><span class="tooltip-content">IBRAHMI,
        A.; BENTAHER, H.; HBAIEB, M.; MAALEJ, A.; MOUAZEN, A.M.: “Study the 
        effect of tool geometry and operational conditions on mouldboard plough 
        forces and energy requirement: Part 1. Finite element simulation”, <i>Computers and Electronics in Agriculture</i>, 117: 258-267, 2015, ISSN: 0168-1699.</span></span>; <span class="tooltip"><a href="#B27">Marín &amp; García de la Figal (2019)</a><span class="tooltip-content">MARÍN, C.L.O.; GARCÍA DE LA FIGAL, C.A.E.: “Model of Soil-TillageTool Interaction Using Finite Element Method”, <i>Revista Ciencias Técnicas Agropecuarias</i>, 28(4): 40-50, 2019, ISSN: 1010-2760, e-ISSN: 2071-0054.</span></span>; reportándose resultados satisfactorios en la modelación de la resistencia estructural de la herramienta por <span class="tooltip"><a href="#B5">Biriș <i>et al.</i> (2016)</a><span class="tooltip-content">BIRIȘ,
        S.; MAICAN, E.; VLĂDUȚ, V.; BUNGESCU, S.; UNGUREANU, N.; VLA, D.: 
        “Stress and strains distribution in the frame of agricultural 
        cultivators using the Finite Element Method.”, En: <i>Proceedings of the
        44th International Symposium on Agricultural Engineering: Actual Tasks 
        on Agricultural Engineering, Opatija, Croatia, 23-26 February 2016</i>, Ed. University of Zagreb, Faculty of Agriculture, Opatija, Croatia, pp. 111-117, 2016.</span></span>; <span class="tooltip"><a href="#B6">Constantin <i>et al.</i> (2019)</a><span class="tooltip-content">CONSTANTIN,
        G.A.; VOICU, G.; OLAC, B.; ILIE, F.; PARASCHIV, G.: “Structural 
        analysis with finite elements of a subsoiler working part.”, En: <i>International Symposium, ISB-INMA-TEH, Agricultural and Mechanical Engineering, Bucharest, Romania, 31 October-1 November 2019.</i>, Ed. INMA Bucharest, Bucharest, Romania, pp. 89-95, 2019.</span></span>; <span class="tooltip"><a href="#B11">Gheorghe <i>et al.</i> (2019)</a><span class="tooltip-content">GHEORGHE,
        G.; PERSU, C.; GAGEANU, I.; CUJBESCU, D.: “Structural and modal 
        analysis of the subsoiler equipment to prepare the germinative bed.”, 
        En: <i>Proceedings of the 47th International Symposium, Actual Tasks on Agricultural Engineering, 5-7 March 2019, Opatija, Croatia</i>, Ed. University of Zagreb, Faculty of Agriculture, pp. 79-87, 2019.</span></span>, predicción de los esfuerzos de la herramienta de labranza sobre el suelo según <span class="tooltip"><a href="#B1">Arefi <i>et al.</i> (2022)</a><span class="tooltip-content">AREFI,
        M.; KARPARVARFARD, S.H.; AZIMI, N.H.; NADERI, B.M.: “Draught force 
        prediction from soil relative density and relative water content for a 
        non-winged chisel blade using finite element modelling”, <i>Journal of Terramechanics</i>, 100: 73-80, 2022, ISSN: 0022-4898, DOI: <a href="https://doi.org/10.1016/j.jterra.2022.01.001" target="xrefwindow">https://doi.org/10.1016/j.jterra.2022.01.001</a>.</span></span> y la fuerza de tracción en condiciones estáticas (<span class="tooltip"><a href="#B25">López <i>et al.</i>, 2019</a><span class="tooltip-content">LÓPEZ,
        B.E.; TIJSKENS, E.; GONZÁLEZ, C.O.; HERRERA, S.M.; LORENZO, J.D.; 
        RAMON, H.: “Simulación de la descompactación de un suelo arcilloso 
        empleando el método de elementos discretos”, <i>Revista Ciencias Técnicas Agropecuarias</i>, 28(2), 2019, ISSN: 1010-2760, e-ISSN: 2071-0054.</span></span>).
        Puede utilizarse para simular suelos cohesivos, con lo cual es posible 
        obtener tanto las características de resistencia como datos en el 
        proceso de destrucción y desplazamiento de la masa de suelo (<span class="tooltip"><a href="#B26">Lysych, 2019</a><span class="tooltip-content">LYSYCH,
        M.N.: “Review of numerical methods for modeling the interaction of soil
        environments with the tools of soil tillage machines”, En: <i>Journal of Physics: Conference Series</i>, Ed. IOP Publishing, vol. 1399, p. 044014, 2019, DOI: doi:<a href="https://doi.org/10.1088/1742-6596/1399/4/044014" target="xrefwindow">10.1088/1742-6596/1399/4/044014</a>, ISBN: 1742-6596.</span></span>).</p>
      <p>El
        MEF es apropiado para el análisis continuo, aunque las deformaciones 
        del suelo, sobre todo en el proceso del cultivo, que incluye la 
        separación y mezcla de capas del mismo, la aparición de grietas, y el 
        flujo de partículas no pueden modelarse apropiadamente por el este 
        método (<span class="tooltip"><a href="#B23">Jakasania <i>et al.</i>, 2018</a><span class="tooltip-content">JAKASANIA, R.G.; JAKASANIA, Y.; PRAMOD, M.: “Soil - tillage tool interaction using numerical methods - a review”, <i>Acta Scientific Agriculture</i>, 2(10): 63-70, 2018, ISSN: 2581-365X.</span></span>).
        Sin embargo, los resultados en la dirección del movimiento de avance 
        (tracción) bajo la profundidad del cultivo son más precisos cuando se 
        utiliza el MEF (<span class="tooltip"><a href="#B35">Ucgul <i>et al.</i>, 2018</a><span class="tooltip-content">UCGUL,
        M.; SAUNDERS, C.; FIELKE, J.M.: “Comparison of the discrete element and
        finite element methods to model the interaction of soil and tool 
        cutting edge”, <i>Biosystems Engineering</i>, 169: 199-208, 2018, ISSN: 1537-5110, DOI: <a href="https://doi.org/10.1016/j.biosystemseng.2018.03.00" target="xrefwindow">10.1016/j.biosystemseng.2018.03.00</a>.</span></span>).</p>
      <p>Se
        analiza la predicción del comportamiento de los esfuerzos de corte en 
        la dirección del movimiento de avance de una herramienta de labranza 
        (subsolador vibratorio) labrando un suelo arcilloso limoso (ferralítico)
        con velocidades de avance y profundidades de trabajo asignadas, así 
        como propiedades físicas (humedad, densidad) y mecánicas del suelo 
        determinadas, mediante el MEF, como objetivo principal.</p>
    </article>
    <article class="section"><a id="id0xdee8700"><!-- named anchor --></a>
      <h3>MATERIALES Y MÉTODOS</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <p><b> <i>Modelo del suelo</i> </b> . La forma lineal del modelo de Drucker-Prager extendido (<span class="tooltip"><a href="#B7">De la Rosa <i>et al.,</i> 2016</a><span class="tooltip-content">DE
        LA ROSA, A.A.A.; ALCOCER, Q.P.M.; GONZÁLEZ, C.O.; MASAGUER, R.A.; 
        HERRERA, S.M.: “Adjustment of the plastic parameters of the Extended 
        Drucker Prager model for the simulation of the mechanical response of a 
        clayey soil (Vertisol)”, <i>Revista Ciencias Técnicas Agropecuarias</i>, 25(3): 4-12, 2016, ISSN: 1010-2760, e-ISSN: 2071-0054.</span></span>), fue utilizada para modelar el suelo (<span class="tooltip"><a href="#f7">Fig.1</a></span>) y clasificado como un material elastoplástico, como un Rhodic Ferralsol, según <span class="tooltip"><a href="#B10">FAO- UNESCO (1988)</a><span class="tooltip-content">FAO- UNESCO: <i>Soil map of the world, reviewed legend</i>, Ed. FAO, Report 80 ed., Roma. Italia, 1988.</span></span>; Oxisol según <span class="tooltip"><a href="#B31">Soil Survey Staff (2010)</a><span class="tooltip-content">SOIL SURVEY STAFF: <i>Keys to soil taxonomy</i>, Ed. USDA Natural Resources Conservation Service, Washington, DC, USA, 346 p., 2010.</span></span>; y como Ferralítico rojo típico, según la tercera clasificación genética de suelos en Cuba (<span class="tooltip"><a href="#B15">Hernández <i>et al.</i>, 1999</a><span class="tooltip-content">HERNÁNDEZ, J.A.; PÉREZ, J.M.; MESA, N.Á.; FUENTES, A.E.; BOSCH, I.D.: <i>Nueva versión de la clasificación genética de los suelos de Cuba.</i>, Ed. AGRINFOR, La Habana, Cuba, 64 p., 1999, ISBN: 978-959-246-022-5.</span></span>).
        Por su textura, se puede considerar como una arcilla loamosa muy 
        plástica, con 17% de arena, 36% de limo, 47% de arcilla y contenido de 
        materia orgánica 2,58% (<span class="tooltip"><a href="#B18">Herrera <i>et al.</i>, 2008b</a><span class="tooltip-content">HERRERA,
        S.M.; IGLESIAS, C.C.E.; GONZÁLEZ, C.O.; LÓPEZ, B.E.; SÁNCHEZ, I.A.: 
        “Propiedades mecánicas de un Rhodic Ferralsol requeridas para la 
        simulación de la interacción suelo implemento de labranza mediante el 
        Método de Elementos Finitos: Parte I”, <i>Revista Ciencias Técnicas Agropecuarias</i>, 17(3): 31-38, 2008b, ISSN: 1010-2760, e-ISSN: 2071-0054.</span></span>; <span class="tooltip"><a href="#B17">2008a</a><span class="tooltip-content">HERRERA,
        S.M.; IGLESIAS, C.C.E.; GONZÁLEZ, C.O.; LÓPEZ, B.E.: “Propiedades 
        mecánicas de un Rhodic Ferralsol requeridas para la simulación de la 
        interacción suelo implemento de labranza mediante el Método de Elementos
        Finitos: Parte II Interfase suelo-herramienta”, <i>Revista Ciencias Técnicas Agropecuarias</i>, 17(4): 50-54, 2008a, ISSN: 1010-2760, e-ISSN: 2071-0054.</span></span>). Según <span class="tooltip"><a href="#B29">Naderi <i>et al.</i> (2013)</a><span class="tooltip-content">NADERI,
        B.M.; ALIMARDANI, R.; HEMMAT, A.; SHARIFI, A.; KEYHANI, A.; TEKESTE, 
        M.Z.; KELLER, T.: “3D finite element simulation of a single-tip 
        horizontal penetrometer-soil interaction. Part I: Development of the 
        model and evaluation of the model parameters”, <i>Soil and Tillage Research</i>, 134: 153-162, 2013, ISSN: 0167-1987.</span></span>; <span class="tooltip"><a href="#B20">Ibrahmi <i>et al.</i> (2017</a><span class="tooltip-content">IBRAHMI,
        A.; BENTAHER, H.; HAMZA, E.; MAALEJ, A.; MOUAZEN, A.M.: “3D finite 
        element simulation of the effect of mouldboard plough’s design on both 
        the energy consumption and the tillage quality”, <i>The International Journal of Advanced Manufacturing Technology</i>, 90(1): 473-487, 2017, ISSN: 1433-3015.</span></span>; <span class="tooltip"><a href="#B1">Arefi <i>et al.</i>, (2022)</a><span class="tooltip-content">AREFI,
        M.; KARPARVARFARD, S.H.; AZIMI, N.H.; NADERI, B.M.: “Draught force 
        prediction from soil relative density and relative water content for a 
        non-winged chisel blade using finite element modelling”, <i>Journal of Terramechanics</i>, 100: 73-80, 2022, ISSN: 0022-4898, DOI: <a href="https://doi.org/10.1016/j.jterra.2022.01.001" target="xrefwindow">https://doi.org/10.1016/j.jterra.2022.01.001</a>.</span></span> este modelo es el más adecuado para la modelación del material suelo, 
        pues puede ser calibrado obteniendo datos de pruebas triaxiales. La 
        función de fluencia del modelo de <span class="tooltip"><a href="#B9">Drucker y Prager (1952)</a><span class="tooltip-content">DRUCKER, D.C.; PRAGER, W.: “Soil mechanics and plastic analysis or limit design”, <i>Quarterly of applied mathematics</i>, 10(2): 157-165, 1952, ISSN: 0033-569X.</span></span> lineal se expresa como:</p>
      <div id="e5" class="disp-formula">
        <math>
          <mi>f</mi>
          <mfenced separators="|">
            <mrow>
              <msub>
                <mrow>
                  <mi>σ</mi>
                </mrow>
                <mrow>
                  <mn>1</mn>
                </mrow>
              </msub>
              <mo>,</mo>
              <msub>
                <mrow>
                  <mi>σ</mi>
                </mrow>
                <mrow>
                  <mn>2</mn>
                </mrow>
              </msub>
              <mo>,</mo>
              <msub>
                <mrow>
                  <mi>σ</mi>
                </mrow>
                <mrow>
                  <mn>3</mn>
                </mrow>
              </msub>
            </mrow>
          </mfenced>
          <mo>=</mo>
          <mi>t</mi>
          <mo>-</mo>
          <mi>p</mi>
          <mo>×</mo>
          <mi>t</mi>
          <mi>a</mi>
          <mi>n</mi>
          <mi>β</mi>
          <mi>&nbsp;</mi>
          <mi>d</mi>
          <mi>&nbsp;</mi>
        </math>
        <span class="labelfig"> &nbsp;(1)</span></div>
      <div style="clear:both"></div>
      <div id="f7" class="fig">
        <div class="zoom">
          <svg xml:space="preserve" enable-background="new 0 0 500 167.082" viewBox="0 0 500 167.082" height="167.082px" width="500px" y="0px" x="0px"  version="1.1">
            <image transform="matrix(1.2469 0 0 1.2469 0 0)" 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gvLNlACI4%206rccgDevjoKIlB2sL/2dYv8ATon5gKDZoFAoFAoJ7I80t9okBbIzTl1yGQO6JZIm0nyRddHHVVUB%20hnVNFdcVB8E1XhQZ0fCrhe325+cPtz+mXUjY/H3e7GFQtwK4JaLLdHRPO6O1F9UB50FkiIiIiJoi%20ckoFAoFAoFAoFAoPOu+V1dDFoeNRXFbn5hcI1jaUCRDFmQespxNV10RgSHdouiklEtegRIseJFZi%20R2xajx2xaZaFEQRAEQRFETgiIiUVLSsCKBJO4YdM9wzHCVyRB2dW2SSLTVXoqKGwl09dkgL07qD9%20hZ6kSWzbMth+4Lk+fTjPmaOW+SfHRGJegihFpwbdQD9CLQVtAoI7J/4i4T+9P1YaCxoFBgX/ADaz%20WeSNuHqXG9ujuYs0EUelknyyDVBab/tHFEfhoMtcdynJh3ZVJ912o/8A+dtjpIRiv5MyaO0z18QZ%202D6SNKCqttst1shNQLdGbiQmB2sx2RQAFPgEdEoPPcbms2LvZk2LCQjHyCFHyWI0mvlfRVhy/BeL%20nRbP1viTnQel0CgUCg6N9gTbhZ5kKDNK3S5DRNsTwBHCZMk0RwQJURSHmmvjQZ+FYy7jlkS3PPtS%203eqbrkpplWCdI9Nzj25x4nHTXibhFqtBwnjEpjL7deLacaPbo0F63yIHSUV2OOg8JMqCiA6E3oqK%20PjQUlBFMdsYcTMpOXwppRrzNmdaY8LYr1oSx2mSguarxDcwLgFzEuXNdQocpx2DkmOXKwztfZblH%20cjuEPrDvTRDHRU4iuhJQd6G1IaiMNSXvaJINgL0jagdQxFEI9qcB3Lx0TlQSE3thBezN3MY0w4l9%20N2MoSmwRVSMwHTeiGirobT48V1TUS0VOKUHNJ7dRZFju0A5hpPulyW8JctgmbMpt8HYhABappHFh%20oEReaD8NB0pnaOzOTnnYcl+LCllF9rgKZutbIs5Z6gzvJeiLrpbSAPLt8KDfyux3K8e6mYz7LEaL%20cI06YroGbhDEeF4Qa2kAipEGiqWvDwoN2gUCgUCgycuXTFL0uumkCTxX/wBkvioPjC/9nWL/AE6J%20+YCi1s0QoFBwT58G3wnp0+Q3FhxxVx+Q8SA2AJzIiLRESggp2aXrILjbbdZhesdiu5ussZJIa+nf%20NoFd6cOO4n0fUbEyB54dPKu0V8q0HB28utvhZdc8XhW0YscEkn7zecN2ZOfhPNsvOPPHqry6voq8%20fJqiaJWvnIX16XWQoFAoFAoFAoFAoPGu6hMze6WLm6/sZxZ23zXG+CIp3W4JCBV1+SjS/j4UHstA%20oOGZDhzYrsSYw3JivCoPR3gFxsxXmJASKKp8dBILieRY3o5hstHra2i64xcXCWOieCRJWjj0dfQB%20b2/Qg0GnYc4tVznLaZLbtpyABUnLPOFG31QfWNkkUm5Dfz2iJPTpQdDJ/wCIuE/vT9WGg3r/AJNY%207BGCRdZQx0eNGozWim884vJtloEJx018BAVWgnv+eMp0/ncSsRa6p5Du74ry+W1DT/1n/IWgoLBi%209isEcmLVEFjqrukPqquPvH8t541Jx0l+UZKtBqUCg8XzdtyN32s2QtgTnu9u02s9hKm0bvInMnvT%20kqIqNlQe0UCgUCgUCgUCgUCgUCgUCgUCgUCgUCgycuXTFL0v/ASfzJfFQfOGafY+xacvd8T8wFBs%20UCgm7/m8SDNWzWpgr1khChDaoxDq0JIu12W6vkjtKqabj4r+SJLwoIxu0dwJ9xbuuVY03epbJ74d%20uG4sjbIqiS7CaYJv6V1E0Xqvaki+ogpSjTyKR3GuzEBGsTbYehTos4SK5McmHNzga9I9FNvcH4ed%20Bz4TjUqJkdwu1wx8okuY7JkDcHpwSybWUTamwy0AiLYL0h48+HFVq6L2oFAoFAoFAoFAoFB45nll%20kXrKs9hQh3XQcZtUi3JpuX2mLLmSGFFPldVsdP8Atoj1HGr5Ev2P229Qy3RrjGaktcUVUR0ELRVT%20hqmui0VpUCgUGLl1txObaHCycI/u6P8ASrIkmjXRIeKONvagTRppwICRaDyWbcMwPIsecsBybnam%20/b0tVwurSBcemUYdxRW3jYWYIgu4DfQVLh5i5qF92/h4VIcfulvkuXTIQ1auU656rc2S1Xcy404I%20FGFF/owAQ9CLzoLagUCgUHjTmtwi5DlQii+9MrtEW1OipLvj2ufGiCYofynhf026oqLr40HstAoF%20AoFB5tNzLI1ye5Ohd7ZbbRZ7ixals0xslkyyfaZc6guie4DPraMALaoWnH4A+XO9bDrhtWqyu3F5%20mA1dJDYSY4qMdyKko0HzEhOAJim38pfHSg+mu9ltl3e2xLba5EyDcHWxC4CSICx35JRGJLQohbwN%201suBKK7U3JrQaPcQiTJcARCUd18JFRF03J7vlcF9KeNBcUHml+7iXuJ3Bcxho4sS3K9bW/e8gdzb%20JSheIopIh69eR0kRlSRA/wDNtQg9LoFAoFAoFAoFAoMnLl0xS9L/AMBJ/Ml8VB84br9j7FrwX3fF%201Tl/QBQd66Xa2WmC7PucpqHCZTV2Q+aAA68E4r4qvBE8aCR9uy3MU22xH8axpxPNc3Q2XSSK6ovs%20zDiKkYF8HHUU1T1QTgVBT2LHbNYYaxLVGGO0Zq68WpG464XEnHnTUnHDLxIyVaDRoFAoFAoFAoFA%20oFAoFAoIR0Bg97mHVBdt8x9xpHdeHUtssTQfwhNVfwfiDj7fa47kt9wN1NsZkyvePaJoKwJzpK8y%20OnBPZpSkOnDymOiUF/QfhEIipEqCIpqRLwRETxWgkHs7kXZ5yFhMQby6CqD13cJW7Uwac0WQiKsg%20k+QwhfOIaDlt2Ax3JrV2yaUWQXhpUNkpAoEOMScvZYaKrbap8stznz6Dhyf+IuE/vT9WGg1Mgwyx%203x5qY+BxbtGRUiXiGXQmM6+AuonmH0gaEC+IrQZHvvL8XQQyGOV9swIiLf7e0vtLaeJS4IbiVE8T%20j7vSoDQVNqu9ru8Bq4WuU1NhPpq1IYJDBfwp4p4p4UEL3e7oXDB2IblviRJzpA7LmRpLxtOLFjk2%20LnRQRJN30vrGqCnw60G53IyGbaMaNu1aFfru6FssYemXJ1EXF0/JZBCeP5orQTeTWCFZbf24wq1v%20dIGbxD6IknF1i1MOS3lLamm4uihL85aD02gUCgUHTvF3t9ntz1yuLisw46IrziAbioiqgp5G0Ml4%20r4JQQ7ue9nZF6Yvbotu3lgOnHuR2uUUhtskXyi6sfcKcV8fTQflsz3s5a0X3YDcFF1IvZ7VKa4OL%20qWu2OnPxoPxzN+zJvwZBtNK9a00tzi2uVrHTh/Mr7P5NPm8qIx807kYZcL9hb0ac6QQ7yTr2sOYK%207fd8lNERWdSXzJwSiqr74u3if/Yvf4Gd9RQ11pHcztTKR0ZLqPJI6fXR22yy39Fd7e/dH47C4jry%20XlQ12fvj7eftF7/AzvqKDv2PuNh98uIW62THHphiRi2cWUyiiGm7zOtAPj6aCloFAoFAoFAoMrLE%20JcWvKDxJYMlET4eiXxUExa8uch2GyWGywTu+RpboiuRRLpx4qKyCb5shUJGR8UFEJwvyQWha0LRg%207js5m95ZKG9X1ld8UEFQgQiXiqRI6qSbk5dVzVxdOacqFisoFAoFAoFAoFAoFAoFAoFAoITuuJW2%20NZMybHVcVnjJmkiKRe7pIFFm7U1RPK26jnJfU4caDn7kWie9Ct+VWJpZN+xl0psJlvisqK4KDMho%20vL6dlNQ+eIUHIXc6yTGYg42y9kNwnMBJYhQtqdJt1NQOW64otxk9KGu7noKrwoPlMKu1+PrZtNCX%20H11DHoKm3bUTw66lo7KX079G1/q6gr2GGWGW2GGxaZaFAaaBEEREU0QRFOCIickqj7oI7J/4i4T+%209P1YaCxoFBL3XA4jk928WGUdgvzyoT0yMiEzIVF1/vcVVRp/X5XA/QaUGTPu0MX4sLuPYourTihB%20viNJKthG4mzVScFTiGaLooupt9BlRH5jbY5Rmz+SoOmP44LlqxlE1Rt6QvknTQ8CEdqR2iTXk58q%20iujdsntIdzHLtcpCtWTGG2LM09oqte9ry4BOKRcQRGWBaQiVU2dQtaGPR4U2FOitS4UhuVEfHezI%20ZMXGzFfETFVFU+Kg5qBQKBQKCZe7hWNnNo+Hug+NylIXs7u0VZIwZWQQaoSuJo0m7coIPhu14UFN%20QRHcFwxyXARElQSvp7kTkqJbZnNP+6gtXDRtsjLVUBFJdE1XRE14JQQ/3wY8eIs5MxBnux5E5+2s%20Q+k23JJ6MTqOKouOAICgxzPzEi6Jy3cKCvtF1hXe0wrtAPqwbgw1KiOqijuafBHGy0XRU1Ek50Hb%20oFAoFAoFAoOje77Z7HbnLjd5bcOE1ohOuLpqS8BEUTUiIuQiKKq+FBE3+Zl+SWK5yRB3GsaaiSDV%20HRQbrLQWi8C3DDbVflIrip8ioMsMIwSzdrFvjcWRb2YtnW4uBDmzWhRxIvVI+m28Ikar4qnHxq4Y%20ou1NrspYraMjgJKR6822K8+kmVIkcTbE10B5x0RXcq67aCum3G3wGwcnSmorbho22b5i2JGSKqCi%20kqakui8KDsIqKiKi6ovJaBQKBQKBQKBQKBQKBQKBQT2W5JjMCMVqu2sx+5NG0FljgUiVJaNFA0Fg%20PMoqiqikugp4qlBA4PEyWY4eBX65SbO1YWgOFCZJBnT7UZKMY3pgcE6KIjDyMcd48T0JNQ2sbjx8%20BzAsVBsY+MZEbkzHFRNBYnCO6XBVef0iJ12dfnj4JQei0CgUEdk/8RMJ/en6sNBY0CgUEZ3FvVwI%20ImIWJ3p5FkaG03IQd6QoIaJLmmnL6MD2ta+s6Qpy1oMW/WZjttYo8nEZTsYRVqDAxh1VkRZ8t1Nj%20DTYku9h0y8xm2SDpuMxXitBgOWdJGJxcIuCs27MpFxYu04r211YN0m+0JJkdJxvY3IbIk2A3qhiC%20CKjwoj0HtphsjEsddt8l1g5EqbLuDzcMFaiMlLeJ3oxmyVVFptF0FKKq6BQKBQKDBLBcVLJftMUA%20VvSGjoyt7nB1GPZuogbtiErPkVduqoieig3qCG7h8cn7fJpr/np/9FsmfH/1fi50FzQRL3aDEXW3%20WCWYMR03HkjjKeEQkPSHJDr7aoWouGr5gSp+Qu3lQV8CDDt8GPAhMhHhxWwZjR202gDbYoIAKJyR%20ETSg56BQKBQKBQSd3zd12a7ZcSjDer40qtynN+2BBLhxmPproXm1RptCcX0InGg5bLhINT271kEp%20b5kAIvRkuggx4u7RSGFH4i0nz11cVPWNaDSy3X7K3nbz9hk6fH0S+KgyYXSXtVHR7b0lsQI4h6bd%20vsaa7teGlDGjhSNDh9jFkRFpLfE6aN6bNvQHTbt4afFQYeT4Tc7vlzF0cbt1ztCQxh+7ro2bwRyJ%207dIfaa0Jtw3mdG/Nt26c1RVGh1bCKCiCKaCnBETkiUCgUCgUCgUCgUCgUCgwxzrCzv32fC+QTvu7%20Z7rGQ0sncg71HpIW/VB48uVBhLcO4eSXSVDhwyxbHGlJtLxJQHLjIIS2ksaOqkDILx2uO6r47KCh%20x7EbFYBdKAwpTJOizLjIIn5cgk8Xn3Nzh/AmuieCJQZ+c4lKvDMW6WZ8YOVWYies00k1AlJNHYsj%20RNSjyERBNE4pwJOIpQZYSLR3MxaZaJrbtnv8Bxv22GWntlruLKo4w82XqmgmiG06PkcHkumtCtDA%20ssmXRqTZL8IRsvsu1q8RgRUbcQlVGpkfX1mJAjuH5K6gvFKCsoFBHZPp94uEp4/5p+rDQWNAoMrK%20MmteNWSReLkRJHYREBptNzzzprtbYZDVN7rhqggPiq0Etj7DeN226Z/nMhqJebi2Lk4yXUIMMFX2%20W3s8NVUN/mQU1ceJdNfLQcuM2W7ZBfWs1yWOUPotkGM2B1E3wmXU88mSmqp7Y8PBUT+aDyesprQV%2012tFru8B233SI1NhPJo5HfBDBdOKLovii8UXmlBHXC0Z3ikZXsRcXIbcCp/y9c3vp220VVJIk41U%2014eUQf3fykThQaF47o4ZYYcR7I5yWaVKZB5bbIRTlNIfBEcbY6yp5kUdU4KvJVoKiNIZkxmpLBb2%20XwFxo9FTUTTcK6LovJaDkoFAoPPGL7lUfujLtYuOPWmVMD+5OQn9rcX3WBlKana9BBSU301a013E%20tFeh0RDdxP8Ac3b/AP10/wD8yZ4eP4vxUFnMfOPEffBonjabMxZHRCNRFVQU14aryoPIoHeS9SMX%20lum5A9974BQVAfo3GJoxik9Nk3x6hwil9I1J0B3Im5R4pQek4Xe5V9xO03iW2DUqfGbffaaQ0ATM%20dSFEcRC4L/4rzoNqgUCgUGRkeWWLHWmXbs+bSSFIWAbZefMyAdyogsga66UHnEzuFDyWQrdyur+N%2044qIqQo7UsbpLRfCQ6LX90bXVPI2vUXxIeSwUlr7jdq7TAagWyUEOCwOjLDMSSACPpREa8fFaDtf%20e5294/5ovBNV/u0rkvH+qqjoZF3RwSXj11jM3JSdehSBBPZpXHcyen9F6KQYzubYJce1q47JuBkc%20uxJDcAI8rVepDQPKqNeOvCmmu3guf9v8dwuw2N26ELtugRozqFGkou9toRP+i+Ui0G597/bv9rfo%208r6qgfe/27/a36PK+qoH3v8Abv8Aa36PK+qoH3v9u/2t+jyvqqB97/bv9rfo8r6qgfe/27/a36PK%20+qoH3v8Abv8Aa36PK+qoH3v9u/2t+jyvqqB97/bv9rfo8r6qg6lz76dq7WccbhfEipKQlYJ2PKES%202aIuiq185KCxtN3tt3t7Nxtr4yYUgd7L4a7SFfFNUSg7dAVNUVPT+Cg8pxntVfMYct0liTBcXHId%200agugyQvTjmmLrJTl56tkHmUSVSJVXVNVpgv8QuVyumK2i5XNhI1xmw2H5cdBMEbdcbQjBBc86aK%20unHjQa9AoJjLMGYvMli722UVlyiEKjCvTAIZbFXVWJLSqIyGCXm2S/CKivGggsnus72+DIyUW8Oz%20e1KTdlyhEN6xzgc06kV91dOm09pxbeUTAvM2SqnELvEc8jXp4rTc462fKowIcyyvFuVQ5deK7ogy%20I5aeVwPiLReFBU0Edk/8RcJ/en6sNBY0GPk+WWPGoIy7o+ok8aNQ4jQk7JkvF6rMZgNXHXC+SKfC%20uicaDzP7Te2ZO1c8giuXXJ4upY5gNuUZB21DHRJVycFei1JMS03uEgtiu0NxKSrBW2fCrxdLpHyH%20OX2plwjF1LVY425bdALwNELRZEhP6408v5AjzWi3oFAoILMO171+n3p6Lc/Yo+SQosC7grSOOCkJ%2003GXox7h6biI8Y8UVNdC5pxDaxly9OXvITmrNCAkkAtrEwGUBBAVRw45teYmnC4ojnmT4lTQKOgU%20CgUCgz7nYbZc5dtlzGlcftEhZkAkIkQHlaNhSVEXQvo3iTj8dBoUHTOzWgyQjgxyUQdbTVoF8kgk%20J4eXJwgRT9OnGg7YiIigiiIKJoiJwRESg/aBQKBQKBQKBQZWWKSYteVH1kgyVTT09EvioPnDiIsR%20sZEW4lt8VVJeOqqyPHjQrXoFAoFAoFAoFAoFB5n3BueRuZC/b7Ub8S4xYTDmPGxCYknIlSXnAkfT%20yW3Wmm2mmh3pqK6KpcdERQt8cvkS7wOvE67sdtem3MkNo37SgeXrN6IIkJaa6oKJ6E0oNWgUCgUC%20gUCg45MaNKYOPJaB+O6m1xl0UMCT0EJaotB5xkfYXE7jCSPZ5c3HSZNX4QwHdWY766fSsMu70YXR%20NF6Ct6+NB9W+x99LE0rLF/tOUxwXRpbsw9Bk7OGm5+KjwEqaLza1XXiVB071O7jFmWJuS7Fa0ntp%20cegLd0d6ZKUYULduh7tE+BF/BRGpKHvtcFcZYXHrA1r5JQlKuT2mi8mybiNovLiqr8S0Vm2XsW4M%209665Rlt1v91kJtekAQwU6ZBtcZbVj6Zlol49Np0R9KLQehWLHbDYIXsVlgMW+LuUyajti2hEvMi0%20TUiX0rxoNGgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCg6N/biOWK4tzXCZhnFeGS8CKpA0rZIZCi%20ISqqDxTRKD5x1uE1j9sbguk/BCIwMV800I2kbFAMkVB0Uh0XklBoUCgUCgUCgUCgUCgUGbj/ANmv%20Yj+z3sfsXWPqe7+l0uvr9Ju6Pl36+t40GlQKBQKBQKBQKBQKCevUeynl2NvS5RtXRn233ZGESUHt%20zIo9vJBVB2BxTVU/DQUNAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoP//Z" height="134" width="401" overflow="visible"> </image>
          </svg>
        </div>
      </div>
      <div class="fig"><span class="labelfig">FIGURA 1.&nbsp; </span><span class="textfig">Superficie de fluencia y dirección del flujo en el plano meridional del modelo Drucker-Prager extendido lineal.</span></div>
      <p><b> <i>Propiedades y parámetros del suelo.</i> </b> El módulo de elasticidad (E) se determinó como el módulo tangente a
        la sección de deformación elástica, de la curva esfuerzo deformación 
        del suelo en su tramo recto, obtenida por <span class="tooltip"><a href="#B18">Herrera <i>et al.</i> (2008b</a><span class="tooltip-content">HERRERA,
        S.M.; IGLESIAS, C.C.E.; GONZÁLEZ, C.O.; LÓPEZ, B.E.; SÁNCHEZ, I.A.: 
        “Propiedades mecánicas de un Rhodic Ferralsol requeridas para la 
        simulación de la interacción suelo implemento de labranza mediante el 
        Método de Elementos Finitos: Parte I”, <i>Revista Ciencias Técnicas Agropecuarias</i>, 17(3): 31-38, 2008b, ISSN: 1010-2760, e-ISSN: 2071-0054.</span></span>; <span class="tooltip"><a href="#B17">2008a)</a><span class="tooltip-content">HERRERA,
        S.M.; IGLESIAS, C.C.E.; GONZÁLEZ, C.O.; LÓPEZ, B.E.: “Propiedades 
        mecánicas de un Rhodic Ferralsol requeridas para la simulación de la 
        interacción suelo implemento de labranza mediante el Método de Elementos
        Finitos: Parte II Interfase suelo-herramienta”, <i>Revista Ciencias Técnicas Agropecuarias</i>, 17(4): 50-54, 2008a, ISSN: 1010-2760, e-ISSN: 2071-0054.</span></span> para este tipo de suelo. El coeficiente de Poisson se determinó mediante la ecuación:</p>
      <div id="e6" class="disp-formula">
        <math>
          <mi>ν</mi>
          <mo>=</mo>
          <mfrac>
            <mrow>
              <mi>E</mi>
            </mrow>
            <mrow>
              <mn>2</mn>
              <mo>×</mo>
              <mi>G</mi>
            </mrow>
          </mfrac>
          <mo>-</mo>
          <mn>1</mn>
        </math>
        <span class="labelfig"> &nbsp;(2)</span></div>
      <div style="clear:both"></div>
      <p>El módulo cortante G se determina por:</p>
      <div id="e7" class="disp-formula">
        <math>
          <mi>G</mi>
          <mo>=</mo>
          <mfrac>
            <mrow>
              <mi>E</mi>
            </mrow>
            <mrow>
              <mn>2</mn>
              <mo>×</mo>
              <mo>(</mo>
              <mn>1</mn>
              <mo>+</mo>
              <mo>)</mo>
            </mrow>
          </mfrac>
          <mi>&nbsp;</mi>
        </math>
        <span class="labelfig"> &nbsp;(3)</span></div>
      <div style="clear:both"></div>
      <p>Las propiedades o parámetros requeridos por el modelo MEF (<span class="tooltip"><a href="#t2">Tabla 1</a></span>)
        han sido obtenidas en el laboratorio de mecánica de suelos de la 
        Empresa de Investigaciones Aplicadas a la Construcción de Villa Clara 
        (ENIA.VC).</p>
      <div class="table" id="t2"><span class="labelfig">TABLA 1.&nbsp; </span><span class="textfig">Propiedades y parámetros requeridos por el modelo MEF</span></div>
      <div class="contenedor">
        <div class="outer-centrado">
          <div style="max-width: 1160px;" class="inner-centrado">
            <table>
              <colgroup>
              <col>
              <col>
              <col>
              <col>
              </colgroup>
              <thead>
                <tr>
                  <th align="center">Propiedad o parámetro</th>
                  <th align="center">Símbolo</th>
                  <th align="center">Dimensión</th>
                  <th align="center">Fuente</th>
                </tr>
              </thead>
              <tbody>
                <tr>
                  <td align="justify">Ángulo de fricción interna</td>
                  <td align="center"><i>φ</i></td>
                  <td align="left">27,19 º</td>
                  <td align="center"><span class="tooltip"><a href="#B19">Herrera <i>et al.</i> (2015)</a><span class="tooltip-content">HERRERA,
                    S.M.; IGLESIAS, C.C.E.; JARRE, C.C.; LEÓN, S.Y.; LÓPEZ, B.E.; GONZÁLEZ,
                    C.O.: “Predicción de la resistencia del suelo durante la labranza 
                    mediante los modelos de presiones pasivas”, <i>Revista Ciencias Técnicas Agropecuarias</i>, 24(3): 5-12, 2015, ISSN: 1010-2760, e-ISSN: 2071-0054.</span></span></td>
                </tr>
                <tr>
                  <td align="justify">Módulo de elasticidad</td>
                  <td align="center"><i>E</i></td>
                  <td align="left">104 272 kPa</td>
                  <td align="center"><span class="tooltip"><a href="#B18">Herrera <i>et al.</i> (2008)</a><span class="tooltip-content">HERRERA,
                    S.M.; IGLESIAS, C.C.E.; GONZÁLEZ, C.O.; LÓPEZ, B.E.; SÁNCHEZ, I.A.: 
                    “Propiedades mecánicas de un Rhodic Ferralsol requeridas para la 
                    simulación de la interacción suelo implemento de labranza mediante el 
                    Método de Elementos Finitos: Parte I”, <i>Revista Ciencias Técnicas Agropecuarias</i>, 17(3): 31-38, 2008b, ISSN: 1010-2760, e-ISSN: 2071-0054.</span></span></td>
                </tr>
                <tr>
                  <td align="justify">Coeficiente de Poisson</td>
                  <td align="center"><i>υ</i></td>
                  <td align="left">0,44</td>
                  <td align="center">Calculado</td>
                </tr>
                <tr>
                  <td align="justify">Tensión de flexión</td>
                  <td align="center"><i>σ</i> <sub> <i>f</i> </sub></td>
                  <td align="left">693,2 kPa</td>
                  <td align="center"><span class="tooltip"><a href="#B13">González <i>et al.</i> (2014)</a><span class="tooltip-content">GONZÁLEZ,
                    C.O.; HERRERA, S.M.; IGLESIAS, C.C.E.; LÓPEZ, B.E.: “Modelos 
                    constitutivos drucker prager extendido y drucker prager modificado para 
                    suelos rhodic ferralsol”, <i>Terra Latinoamericana</i>, 32(4): 283-290, 2014, ISSN: 0187-5779.</span></span></td>
                </tr>
                <tr>
                  <td align="justify">Cohesión</td>
                  <td align="center"><i>d</i></td>
                  <td align="left">217,2 kPa</td>
                  <td align="center"><span class="tooltip"><a href="#B13">González <i>et al.</i> (2014)</a><span class="tooltip-content">GONZÁLEZ,
                    C.O.; HERRERA, S.M.; IGLESIAS, C.C.E.; LÓPEZ, B.E.: “Modelos 
                    constitutivos drucker prager extendido y drucker prager modificado para 
                    suelos rhodic ferralsol”, <i>Terra Latinoamericana</i>, 32(4): 283-290, 2014, ISSN: 0187-5779.</span></span></td>
                </tr>
                <tr>
                  <td align="justify">Ángulo de dilatación</td>
                  <td align="center"><i>Ψ</i></td>
                  <td align="left">13º</td>
                  <td align="center">González, 2011</td>
                </tr>
                <tr>
                  <td align="justify">Resistencia a los esfuerzos cortantes</td>
                  <td align="center"><i>τ</i></td>
                  <td align="left">40 kPa</td>
                  <td align="center">Herrera, 2006</td>
                </tr>
                <tr>
                  <td align="justify">Módulo cortante</td>
                  <td align="center"><i>G</i></td>
                  <td align="left">1 793, 4 kPa</td>
                  <td align="center">Calculado</td>
                </tr>
                <tr>
                  <td align="justify">Tipo de suelo</td>
                  <td colspan="2" align="center">Lineal elástoplástico </td>
                  <td align="center"></td>
                </tr>
                <tr>
                  <td align="justify">Límite de tracción del suelo</td>
                  <td align="center"><i>σ</i> <sub> <i>t</i> </sub></td>
                  <td align="left">42 kPa</td>
                  <td align="center">Calculado</td>
                </tr>
                <tr>
                  <td align="justify">Límite de compresión del suelo</td>
                  <td align="center"><i>σ</i> <sub> <i>c</i> </sub></td>
                  <td align="left">500 kPa</td>
                  <td align="center">Calculado</td>
                </tr>
                <tr>
                  <td align="justify">Ángulo de fricción suelo-metal</td>
                  <td align="center"><i>δ</i></td>
                  <td align="left">23,68º</td>
                  <td align="center"><span class="tooltip"><a href="#B19">Herrera <i>et al.</i> (2015)</a><span class="tooltip-content">HERRERA,
                    S.M.; IGLESIAS, C.C.E.; JARRE, C.C.; LEÓN, S.Y.; LÓPEZ, B.E.; GONZÁLEZ,
                    C.O.: “Predicción de la resistencia del suelo durante la labranza 
                    mediante los modelos de presiones pasivas”, <i>Revista Ciencias Técnicas Agropecuarias</i>, 24(3): 5-12, 2015, ISSN: 1010-2760, e-ISSN: 2071-0054.</span></span></td>
                </tr>
                <tr>
                  <td align="justify">Coeficiente <i>K</i></td>
                  <td align="center"><i>K</i></td>
                  <td align="left">1</td>
                  <td align="left"></td>
                </tr>
                <tr>
                  <td align="justify">Humedad</td>
                  <td align="center"><i>H</i></td>
                  <td align="left">22,4 %</td>
                  <td align="center"></td>
                </tr>
                <tr>
                  <td align="justify">Densidad</td>
                  <td align="center"><i>ρ</i></td>
                  <td align="left">1 120 kg.m<sup>-3</sup></td>
                  <td align="center">(<span class="tooltip"><a href="#B19">Herrera <i>et al.</i>, 2015</a><span class="tooltip-content">HERRERA,
                    S.M.; IGLESIAS, C.C.E.; JARRE, C.C.; LEÓN, S.Y.; LÓPEZ, B.E.; GONZÁLEZ,
                    C.O.: “Predicción de la resistencia del suelo durante la labranza 
                    mediante los modelos de presiones pasivas”, <i>Revista Ciencias Técnicas Agropecuarias</i>, 24(3): 5-12, 2015, ISSN: 1010-2760, e-ISSN: 2071-0054.</span></span>)</td>
                </tr>
              </tbody>
            </table>
          </div>
        </div>
      </div>
      <div class="clear"></div>
      <p><b> <i>Modelo de elementos finitos.</i> </b> Está formado por la herramienta de labranza (brazo escarificador y 
        cuña delantera de corte) el cual es tratado como cuerpo rígido y el 
        bloque de suelo (deformable en interacción con la herramienta). Tanto el
        brazo como el bloque de suelo fueron modelados utilizando el software 
        de diseño <i>Solid Works</i> y su complemento <i>Simulation</i>. Las 
        dimensiones del bloque de suelo son: longitud (2 m), ancho (1 m) y 
        altura (1 m). El bloque de suelo se consideró isotrópico y homogéneo, 
        tiene restricciones de movimiento por las superficies laterales, 
        inferior y posterior (<span class="tooltip"><a href="#f8">Fig. 2a</a></span>),
        a las cuales se aplicaron presiones de confinamiento. Sobre el modelo 
        actúan la fuerza de gravedad y la presión atmosférica. Se asume que el 
        aumento de las dimensiones del prisma de suelo cortado más allá de las 
        asignadas no afecta las fuerzas de corte (<span class="tooltip"><a href="#B3">Bentaher <i>et al.</i>, 2013</a><span class="tooltip-content">BENTAHER,
        H.; IBRAHMI, A.; HAMZA, E.; HBAIEB, M.; KANTCHEV, G.; MAALEJ, A.; 
        ARNOLD, W.: “Finite element simulation of moldboard-soil interaction”, <i>Soil and Tillage Research</i>, 134: 11-16, 2013a, ISSN: 0167-1987.</span></span>).
        La interacción suelo-herramienta se modeló tangencialmente a la 
        superficie de ataque de la herramienta, con modelo de contacto 
        superficie a superficie. El mallado general del modelo se realizó con un
        tamaño de elementos (e) máximo de 0,008 m, tamaño mínimo de 0,006 m y 
        se utilizó el método iterativo de Newton-Raphson. Las superficies en 
        contacto, tanto de la herramienta como del prisma de suelo cortado se 
        discretizaron aplicando control de mallado, con tamaño de elementos de 
        0,004 m (<span class="tooltip"><a href="#f8">Fig. 2b</a></span>). La herramienta estrecha corta el bloque de suelo a velocidad constante de 0,65 ms<sup>-1</sup> en la dirección del eje X, a una profundidad de trabajo de 0,3 m y 
        ancho de corte 0,081 m. El suelo cortado después de la falla se desliza 
        por encima de la superficie de la herramienta. </p>
      <div id="f8" class="fig">
        <div class="zoom">
          <svg xml:space="preserve" enable-background="new 0 0 500 233.49" viewBox="0 0 500 233.49" height="233.49px" width="500px" y="0px" x="0px"  version="1.1">
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I2eZSShR8%20A+hIuhXx27aC4svNPtIdZWlxpY3IWkgpIPiCKCFy/G2JuZi5iW65IaxqFLj46w7Xe8HfisC4F/Og%20psXlHJk55L5B+oyT3cVh3SkJiY1i93lq/C4vcnQm1MC/8fzTOaw0XKMtqaalIC0oWLKFBIUCgUCg%20UCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUFak86x0LkYwmSYehF4hMK%20c6m0Z47b7UudN3hatU7Yi2JdDX7fbZq+5SYtjvX1j9CyBSVfKQfsraoTDnZeZT737FLSlSsWdoJ1%20Ooqvn+r+h2IrM8GcR/OsfuNY8A5ECeuOlD9rSq2bfyz9FHgf+en+6P3qn7c+4P1PAsIliK5kMp9O%20G3Wo6bNNlBKR3F67PSB4VGic0iW33bXFOTesfFPHO8wiETJcNmREJ/Ohx1bnWk/vJVb8z7LCtrnr%20FisxjsvCEqA6HWlaEfiSrxSoeBFBzr2JhyITPKIslHbfazDwcQeoJQg/7aq8aMeX1d33u0W+1Mdv%20CHRMvncRiI/1GRlNxmugK1AX+yt99laxmZcrjcTbut466zaUVgOZIz2SW3j4T5xaEE/qbiSltawQ%20NqP3vtrCm3ynpHT4rXK9vjRTNrR9zP5Y9PqslbnNKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQ%20KBQKBQKBQKBQRuY5JhMO0XMhLQ14BsXWsnyCEhSv6KCA/W+Y50lOGhDEwVAWyM4AuKF+rTSd46fv%202oNvG8BxTL4l5RxzMz9bvzDvQLm/oZJLaPuFE5b+d5Vx7j8RT+Sltx2203DY9S7AaAITc/ZpRCqQ%20OeZTlLAVhFM4eKu26VkPRICT0LbKgUk/2qYEXyThuFmoxUPKsOZP9TnobmSJp7ilJT1CEEqQ2Df8%20NOx2bUiJiuMMhx/GwZPHWR6gtppU6OhPUbVj8xtI8blXwonCqYNn21zislkI2NVkZsyUp2EICfUh%20jakJcSlwtgDcFek0yiG5KyPvBCS5gsNBhISppLzIWEsyW2CuyvSyO1uKQba9aCa4lO5CtsswGcan%20I6GUma/M+sUUnXc4tB3dOiVFNBEzeX+4WLzWQhYvjSXWHFp7gkv7IbchzU7XElSrOXJOnU0GKdi0%20yx9VyqG/hEMXckuwY8duMz4qBcQQ64kdASCakhAcW/0a+9MynHJkx57vOus9zatploK/LUozVIAK%20h+5c1iR2ar/JeYYtx1zmOVxTfHMysy1YxpKnJb5PVH5SFbS79thapOit8klcLkRXXsNxlnFY7L7E%20ryyyhsNFglTlxfv7HAsA2T9lCYbPHPd6f7dsJlvSHclxuQtSxFUsrCU7QlDUTvlL2ihuO8JGtB+h%20+Be5fEOc4xM7ATkPEWD8VXpeaWRuKVJPlfqNKCyyI7ElhbEhtLzLg2uNrAUlQ8iDQU5/j2e4y6uZ%20xdRl45R3P4F5RIA8VRlquUn+C4TQTvHuVYrOsqMVZbktHbJhujY80odUqSf6xpQM/wAVxebivMSE%20dpUkJRIfZ9Dq20/gUtNlbfhRGEqyy0w0hllCW2mwEoQkAJAHgAKJe6BQKBQKBQKBQKBQKBQKBQKB%20QKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKDRzWCxObgOQMpGRKiuW3Nr8wbgg+BBrG1YtGJb%20dO6+q0WpOJhxTk8rkXtnyOLjsPNfmYzKIWtpuQC4lpSVWCNwt4dPhVDZS+u2KdYl67icji8zVNuT%20Fa2p6x0mVckRuRD3Aw+QMJSGcu6htqfISq/1B+ZF7i7d+nnWM6Ji8TPq2V91pbjbKa8fgrOOnp6O%20l844tyDKcWyAVkFzcl2lFuJftxVAD1ICDc3I0+aru+nlXEPM+1cuNG+L2jMdv1sPs1gsxieIt/qa%20BGdkKKm4KU7eykG1lXvqSL1hxdU1r1WvfebTfu/DEfhjv8Vn5RnmsBgZeYdaLzcRKVKaSbE7lhHX%20X96t2y/jWZc3icf722NeceTWyGMV2znsQoxMqGg6Qj5H0gX7bifH7qmZnGYYa6V+5FbziucTLhmP%205fySRynJSuOrddzGYlqX9LGO1DZUAg9y+7afT41yInZa0zV9D2V4WnTWm3E1iOmXWOKez6pSUZLn%20DrmQyiXO43HLm5hA6gFIGtla9auauL636y89z/f8fg434NePh1dSaababS22kIQkWSlIsABV15iZ%20mZzL1RBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKDy4422krcUEIHVSiAP2mg8rkx0Ml5bqQyA%20VFy422HjegjIPLMFOyzmKjSUuTG2w8Ejots29SD0NiaCXoFAoIPN80wOIUGXni/MWLtQo47jq/gA%20NP2kUEXfneeV6dvHcaq4JUA7MUPin5UfaFUgSWG4VgcW59UGjLn9VT5R7z1/gtdyn7qZJfM5znjm%20GUpuTI7j6UlZYYBcXYC/hoPvNBSEe4GVz4KsiiRxLBvKP0sh1vc/JbHjdBV2knzBvQwzZjC8dRj8%20clgtLVkpzTSsq873n0tBCnd4cdsoatgWofOW5k8lxzMS3gxim+RS0klK47Te1s/hDjyyhX7L2p6C%20n53gfLpHJMLGVy93Ax30Py40JBTMDDsYo2kPPqQpZX3OnQWoJZcrDcbloHIWI+cfbVu+tS65KlW/%20Cdi07Eg/uhVMCv4PlHDXJGRxkKNIh5lckvQ9m6H22lgBKVqaPQKBO3p50PRvyIPu5ieTRsgnKQps%20WfHDDyktIcWFNqK0ISSPUvUWKiNaDBzFeEnoaj5vPz8byB5aUI74+kejD5lrSplSwlOy9tppg6td%20EuFxzFu4p3m7eSwMpKlR5EuMHVfUAb0JcWQo6qG7f1vTMjUj8/zcxcdrkudwi4rURK2IRffUl9ew%20blSLNG6t34TcUIVbKzsfnOMGDyCKhyHBK5zgxitrCIznqAWtO10qGlgEmiOjnEvkz7Ko2RhvNvTH%20kIEdCWkhDCtbNJfVtc18TamUzKq5zlS0yHkrb+uQ+pMiG/IcU6tpN9EpKr+INBXpWamzVuu5BxUx%209xIQh15RWpABvZJVekzkZeN8oz/Gso3lMHNchTWvlcaURcHSyh0I+BoP1/7Kf8UeI5NswvLlNYvM%20gJRHlXszJVoPL0LJ8OnxoO/pUlaQpJCknoQbg0EByLh0LKupnRnVY7NNW7OTYFnNOiXLW7iP4VUw%20Qj4HMZ2LkoxnLmREfWQiNlG9Ykg/boUL8wRb409Rb0qSpIUkgpOoI1BFB9oFAoFAoFAoFAoFAoFA%20oFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFBDZXluExyyyt7vy+giRwXXb/FCLkffQRDuT%205dlTZhtGGhKHzufmyFfFNjZH95NB8hcaxkaQZboVNnH5pckha/uGiR+ygpfvY86yzxhxlRbWjKNF%20BTpbXwqtyZ6R9Xb9jrE22RP+iXSj4fYP6hVlxHygqPu3/wDt1mv/AEbf/vkVp5H5JdH2j/5NPr/C%20Vogf9gi/+iR/VW2vZR2/mn6o5viPHG0z0twkI/U3TImKQNqlOkAbgoWI6eFIrEdk7N1rxEWnPj0h%20WE89znHPcFjiklRyGG+mMj6jYVSW0C4AO35gm3l0rVOyfuePov04lJ4c7uvlFsfJ1KBkIeQiolw3%20kvx3BdLiCCPs+0VucxsUAkAEk2A6k0MAIIuNQelAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFBG53%20A4/NRUxMinuQgrc6wTZK7dAr4UHOjj4SsIzicHLOTlYWUZCcWFFaVxXHdjjDt9FJCVKKR9lBPYPg%20T8dyI4pwRWsbKXKxQSLuIYkJUpyM509KVuG32UJXkkAXJsB4mgrWS57iI8owMeh3LZPUGJDSFlJH%20/SKuAkUMNQYfmWeN8xMGIgK1MCCol1ST4Lf9BT9gFBN4bjWCwbajBjIZWr+bINu4v4rWdTQaWQ5t%20jWpQx+NQvKZNX/w0Ybtg/ecV0SmgpLOa9weQB6XOirYwKXVMPQcSsrmEp0FnD29D+L4USw5rmfAO%20P8fmwo0mPipMtKGlRHwGpa+64GnFrKd28pSom/wojDOn3Hwa2xjMNMbUmOy0yqZPKkRgltASDtSH%20A4o2vY2onCs8l477Vvw1ZXIZtidNZX35ERClRYjwJupHaSFBJ8d3wphGJesfyP23yUZtviz62Iti%20FzJUl1lhtZ+bYkIX3FDxBtTGU4Q8jF+0g5KlrN5yVnEsshUJ9b63NkhZ9fZbOiLWGgNEYWtw8mwW%20Jfc4liEyMbHQqQWs20iOnba5UiQkvKUTbRJSKYT0aGKys39B/Vc7xxxvkEFxxya4AH460OpAW0d2%20zaHG/SkWOtB9+t4nzNlWP4jKOFD23vvKdVHbbcbO/wDLYA2qKFC+qhRCs56flsSIkSe/juVzcVIU%20M45lNqSltxspZCiA7uSUKSpKfOh3lUM1yiCI760PSIUGHIT9HDlNBiMtbrZSpKUpUsKSNx2X8KSK%20JmuQY6HKaRhZMWNIjAOurWyFJcd27VI7n4upBFqGFPRzLMR8mjI44pxz7YUlAijtpAV1SEjw+FBH%20z81kp7TTUp4uNs37SPBIPgPgPCg0aBQKCVb4zmFuttBqzrikpSkmxBWjem/2g0H6Q9oeb+5vDMS1%20EnhOaiNLSJGGdfP1sSOo7Q6gEEbCSLC/jQfpfjvK8Ln2XFwHwp5hXbkxzo404NClQ+7wpgSE/Hws%20hEchzmESIrw2uMuAKSofEGgp68fyPh35uJ7uZwAPrxiyVSY6fNhRvvSP3Da1CFmwXIsTnIn1WOfD%20qQbOIOi0K8UrT4EUElQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQVaTz6B%20j+Qqw+YYcx6HFbYU9z+Q8fILGiT/AGq0zuiLYno6Wv262zV565i0x3r6x/mszkhhpovOOJQyBcuK%20UAm3nc6Vuc2YV6VzeGp5UbDx3MrJGn5XpaH/AOKqyD9xoKvx/L53mbM9eSkHHR4Mx6C5Bh/jLCtp%20KlqurX+E1r138s/Vc5vGrqmuJ/NSJ/WssDE43HoCYkdLZH4z6ln7Vqur+mtim3KD5Qcg9/pk5g4Q%20rBax7UlDrT6UlZU+DoiwBN/KqPM8umOz1X9txo/H5T+P+DqGBXlXMRFcyoSJ60BTqUdBcaX+NW9e%20fGPLu87y41/dt9r8mejfrNXc+98JsyPwh9loBEWUpLcqSUqUG0pUFgq29B6aq8ubRXo7v9v69Vt+%20bzi0flWDgGYmZnikHISUBPdQAyQCne2ANq7HzrZotaaRMqnu2nVr32rrnMfxWGtzmufT8e83744q%20aSFNSsc4lKLa+kqvf9lVrR/Vj6O1q2RPt94+F4WVeLcjTHZ3G5DbE0EfVwidzDmnyqQP5aj8LVZi%20XHmkx1mO7zJ9xsj3G8dFwrpzixrGdcQhtJ8VbyQFJ/smtWy9o7Rld4fG1bMzsv4xHpjrP0RUiHIm%205hiLynke9yVtCcJjvkCr9FqSCsJ/vVXmMzi9v0Q7Ndnhrm3H1eMV/nv3/Rno6WhDUaOlCdGmUAC9%20zZKR/wCYVc7PMzM2nPrLUwucx2ahfW49zux+441vsR62lFCxY+ShUVtFozDZv0W1W8bd8RP62/WT%20SUCgUCgUCgUCgUCgUCgUCgUCgUCgUCg8uNocbU2sXQsFKh5gixoNODjcPhoim4bDUKKi61BACEi+%20qiaTIgn+esynVReNw3MzJB2l5v0xUH+N6yrW+ypGIcSz2ZIc5Nk1dgi4xkK7TQ16OLue5+wVBlYo%20ONw+GhFqGw1CiNjcQgBKR8TQQjvNlzXjH41BVl1JJSuXu7cRKh4F6y7n4WoOf5zEe5PKslJeXmEt%204rEPqbexENolMgixKCvd61t+VvGmBJstZKLxqe9huRtxf09pxS8eIgaW28E3S24nuEpJNM5R0amJ%204rzzE4WOjJZReSw6UdxLEVz9PdbS8StaHR+d37lZ/dqcpwrud5N7NrzWNiTMclZiOqXk25DHceCC%20gpbCV3G5Pc23qBZMayw8go9uYjsNr1OtIfV24Fyq6/ybGxKj50Q0G83yWXE+r5fExEhlmQ7HYwbb%20wR3HWVlPdK9qu5bbojb99E/Nps8r54M1OhYzjbWFx0xbJdfkPDbGLiVFSwNidhd60Q3OV5eLio+P%20EPh06TMjOKW7H7YcW6y7bvrfNh8+0eqkdkqbynkDElcOPBkyMEiapwyuOwlFZkpQAS048LbQb2R6%20fOmCOstDkGegSpeLykvkGWhNPDtP4sumQyptr+W28/6PnVdPy6UIQ/Meb4KRj8i9GnZFmRIeRFXA%20Dn1cVxCUpN3lAN2/tWoOYzZuMxzIawMVEl1plack9/i7lqK0qbVrcIuBf4WoILOZ+SvHsQIk1S8a%2062lx6KdLPgetSx4q3XsfKggVyH1tIZWsqabuUIJ0G7U2+2gx0CgUG1DgmS264XEtIZ2b1K8lq20F%2034x7VvZV4PqlhWMa3InSmdVsOhHcFkX9Y2lJ6iiYXvC4/A4jJRmc+Wsepw7ps3Nr7chxDSCWHGmC%20DdtbaU7fVRGfRNO4njkhtWcz2dgJ4/kXNoiYlrvOrQn0tJk2Um4VYejwVbWgnIXHssMjByzGazvH%20cDiSDGjuxFBIZAttDfcTsSdPOmTDp3C/fjiuUza+Ny5S/rmQe1kXGuyw+Bp4lW1fwoOqXBGmooK1%20nuGIkyzlsNIOLzg1MlsXQ9b8L6NN6fvoMWH5m6majD8kjDF5ZR2x1FW5iT8WXCE3P8PhQWqgUCgU%20CgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgontLnuS5aDmkchcC5sDJOxkABI2thKVIHp0%206Kqvx7WnOfi6/u2nVSaTrjEWpE/pXurDkNPJZnF41ouTpKGUjXaTdR+xIuo/cKCo5zJucohOQIeI%20S/AeCkGdOGxAChbc2kfmhQ8DaotWJjEtmndfXaLVnEww4nhLEaM0zkZ0jJpZFm2nVqDaR5WBG4f2%20qitYiMQndutst5W7/qWKOyywgNMNpZaHRttISn9gtWTVKj+1D7S2uTMpWC61m5pdR4pC3Dtv9tq0%20aJ7/AFdX3Ws/059J11/cvVb3KKBQa2QxmPyLbTU5hMhtl1L7SVi4S4j5VfdeomInuzpstSc1nDZq%20WBQYJ8CHkIT0Ga0l+JITteZV8qk3vY/sqJjPSWVLzWYtHSYe40diNHajR0BthhIbabT0SlPQCpiM%20ItabTme8so669KIcX5LC5Qv3mxcZJfc7oC4spu4bQwCSrcR01BFc/Zrv92Or2PF5vGjg2iadoxPz%20lcuAlX+peaJKivbOYAJ/9GqrOr81nC58/wBHT/tn96z5fC4/LRixMQdRZLzZKHU/2VpIV9163uXE%204nKCwMeHw18pnwg/FdUSnOgF11F+iXt11j+7pWFNVa9oWt/O3bel7Zj4do/UvzkhiRjnHmFpdaW0%20ooWk3BG0+IrOVaveFO9mP/os/wD5+d//AFK60cf8v6ZdP3f/AM3/AG1/9sL1W9yygUCgUCgUCgUC%20gUCgUCgUCgUCgUCg1shk8fjoypU6QiMwj5nHFBI/poKyvmOVy35fF8auQg6HIygWY4+KLj8z7jQe%20muCLyDiZPKJy8q8lW5MVP5URP2NXUbjz3VIn5MrD4SB3ZDjMCE0ANyiltA8hrUCvP8wy2RCW+PY5%20YQvpkZ6Swxr8pbCrd2/X0mgpWd4ZM5XOyMbLcglrZgltLbjCu3FE6x9Ia1O1FlBQ3VJmMpCBjYsN%20P0OZyWWxrjKSGHUSECK+lI1U0e3/AMm5rEjKM49w3kEPFNZdrKZPIRsiTLlQGpCUvBbpsp1tWw7t%20Ei6bVJ1YeV8EwPJUY1zGZzK/q0uWhhEkyEBxDbakmQlaQgWUhCtL0Mvq8Vj8I/sOSY5jOZuhLEkl%20ye5+EBTqFBPo/d2UyNdrmObZ5K6iFw9SWSynHhLttscqAeUkI23dJuVbAQaGWHlGLwkrByX+RRcn%20GbitrWlOMxr8FIXqEqUpSnaGWlwVv9P4k1k/bpCnXVM7p0zNqu0h1Q3K0OzbdXQ31pAi0e4/J4mC%20mReQvtYrkcp0uSopbKAW3TfuuvKNtiBokW8aJQWVyDGLZC40ReZxEp0sd6XkkCa6pHzMtnZold/R%20prRDnOQ9y5Tc39MxmIfwUUuOLYgRHRvcbdATskqUhW/5dSNtOwiJ3I2GpslgFrHlDzaFNxklLbjQ%20so7woqurU61ArSuQKDslaGko3pKG22wQ2rcTdTiSTuO06aipENuNzbS/gKD5QKDLFbZckNoeUUNq%20NlKSncR9ifGgk4XGMpIW6VthhmOqzzshQZQP7ytKC2YjhLmcCIuEwi8qlkpVLVj30ypQQs23bEJ+%20XQ+FJF047wjDYnJzmse5LDrMQPSoD0RUnvbCouMFadg2lIsoWoLpP47msm26xD4fDg4FllkTXY8x%20MAOKcIUlDK3EuBtR3ALBvcUGLDsxXM5BxTcwvYvHOELhLgrUpmQUkojmcVlDvUFNkCh1W/Le2PLJ%20ImTnuQHAQUoLsuBAQlch5HVAUvo3tXt3DaaTgWDj+BfxeMx8jlJkcmZLDbjeWeP1CowcSFBK2UBP%205YH4iaHZt43k3D350/JuzYX0r9oWPaGxaEsMXS6fTa3duk2+FBgXzKJxRkzcEmZlOOoCQ/EbZWtp%20nrcMPC4v/BqaJdHwvIsXmGyYiyl5ABeiOjtvtbtQHGz6k0Qy5jC4vMQlQ8jHRJYV+FY6HwIPgaD8%20/Qnfe/2x5hKyeYZf5NwyY5teEYl1cZkGyHEoFyntptfzAp0Tl23F+4HFctIiR8ZME12YjuIDHr2C%201/zbfIftohYqBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQfApJJAIuOo8aGH2gEgC56UHKuB%208oxWKl8rbdWp6U5l1lqKyN61gsNjT8Ph4mq+j+b6uv7r21f/AM/4yy815nzSOxjFxmUYiNkJqYhL%20gDkkIUhSr7dUD5fBVZ7rTERj4tHt+imybxb0pn9KwxeM4uK93XUqmy0n/tMol1V/NO/ds+6trnQl%20CSetEvlB4kB4x3QwbPFCu2T+9bSont0ZUmItHl2z1ca9k/1n/VXIgGn22DIWrLrfSkD6ncbJTqf4%20qocWt4vOf0vW+/beNbj0isfi/l+UO0V0HkCgUCgUCgUCgUEXleQY/E5TFR5LZL+UdXHYdSB6e2gu%20q3Hrtsk1ha8VmPmtaOLbbS8xP5Iz9czhQfb3k0ZXuJyyAVbY819DkVxQtvW2kpsP21W07qzsmPi7%20fuPtu2vE13mOtI6/SXUquPNPikpWlSFpCkKFlJULgjyIPWgrWVjT+Nw5mTwZK4iG1uS8S4SWynab%20lnrsI62FhWGy2KzKzw9MbNtaTPjEz3Uv2i9z+1gTio+NcmTnXpEiPHYIKyX3S4AvcQEgBXnVHRyJ%20xiIep929np5xe2yKxiM5+XRfzheeZ4p/V57eJx6vUYkK5eP8K3CElNvgaseF7fmnEfJyf+VxdH/i%20r52/1W7fqXVpsNtpbBJCAEgk3OmmpqzDiWnM5HHG20FbighCRdSlGwA+2hETM4hihzoU1ruxH0Pt%20g2Km1BQv91RFonsz2arUnFoxLPUtZQKBQYJs+FBYXImPojstgqW44oJAA+JoNPA8lwufimVipSJL%20KVFCik6gpNjcUMJOgUCgUCgUCgUEdmORYbDtBeQlIZKv5bRI7iz5IR8yvuojKB/XuW5s7cHjxj4S%20jb9RyCVBVv4Y90L+wnSiZhsY/gWORJTOyzzuYyIsQ9KUClB8m0JCUgfbeglMryDA4Rr/ADspmNtS%20VIY3JC1AfuNj1K+4UHO2feHJcjUXOK4qWMLvLaM07DfeS4UnavttICVelQI1oK069DzfMYZkYfJZ%205MTeDMySvo47kgpI+naQtKAdoJOt+lDCZzH/ANx8LBfyXG2GIEZgWdxOVeRJbTuUEp7YaLSkbb6X%20NMDLgX+SYyOjFZ7KMYVchan1ygwsAuPnertylqLIN/wkEikjNy3hSM6wzgJOXny52UQruu720pZi%20otucFkDafUNvnSSUVxHhEDF4ZAVjjmouPcciz45W6ZTLjVie1tUO4PV0CaCPzXBPazM80aVMyTzY%20jww+qOuR2nVFwqSlpttO1XcRtupNibEVHQS76uT4aIj/AEK086lCg1BazDe1lxX4k9sJafVp0WF2%20HjUmGrjF8piYSfiOT5XGR8j3i5KiIYdceU49ZxBYKXdx2bwm4va1IGH9Z91cXLYjZyBGzWOitfVQ%203lOpaUhnd2+7IQo/mrSV7QkW0pgyp+b5G/ljkk4/FQ2IywtxZS6Yz4UhX5imEKVtAKtblJ+FOo5h%20P5tIjTGpcGIoAMBL76jvcfuBus4vchI/hIvUZMfBUIXJ4c5+cjJoWuIve8y0HAhd0/y0BZ9I238q%20Csu5GUvvJCyht5QUpA11T8upudKkaxJJuTcnqTQfKBQZG2lKstQUGtwSpYBIHj+21BZoPEokuUhi%20G8qcXgFshBDJP/VneDZRGt/hRK78T9qZUqYp/EPOLdDq460tONFLTyzdlpxxSVJPpSrcrxqUQncV%20wzks+TLi4/GuT5CFIMt2XCfVGWhN9m1CSg+rXXdrUETCz4J1k5jJRIWQRAyi2WW4cVmI7HdExsq7%20rcFwna4pIKb6K6ig3ONYvM/p8rhrzXIIMRTpfkOrY7sj6ZzQuJUloK3LWFAU+gmsB9HAS1gOP4GV%20PaZWplnlEt3tOKSrVSFBwbO+CSkXT5aU+R8HQYrcuHiv0tPD1qiC5dQuWxucWTcuKISDvvQmcKhy%203kXOoEVeDRgX50GSlt3uuymlPRG0OJ2IUpKU/lk2Fz4UySsIb5rlktucgwTrzRIWjDw5jKYgSBoF%20+kqXbzCrUydEVmeQTuM5Iu4LipVkJSgJOBZeZeDmv83alJU2r49KCXxmf5FnH/1J7jDv0UN0ohQB%20JZb2upsS48jb/MHgDQw98hmzENt5GVhXMRLZI7OTM6O2onwCwU2Wk+XWomRq8G97MrypiRAi4Mpz%200ZZTtU8kR3GwbB5tw6KF73ANTKVrHEc7mfXyfJlTCrXxcIdqOR+65u3qX9yhRGFhxOBw2IjpjYyG%201EZT0S2m39PWg36BQKBQKBQKBQKBQCQBc6AeNB5bdbdTubUFp6bkm40qImJ7Ii0T2eqlJQKBQKBQ%20KBQKBQKBQKBQU3lnG8wnIHkWByv0WRbb2uQ5Kz9I+kW0UNdhsOoFadmuZnNZ6ulxOZStft7a+VJ9%20fWPo18P7kSsljwljEvO5ZC1NPto/7OlaDYq7psdh8DtrOkzMdYxKryteut8a7eVXqbjeUZhlxM/K%20fRBaSGosPRKVHpvd9KlD4EVN65iYYaNv29kXxnxnOHP/AGa47nIuczM2Y2uE3GkLZdbJKvqXSB67%20m1k7CD9tU+LpmtpmXpfffcte3VWtYjMxnPw+Sy+6v/ZeOf8AjDX/ALpdb9/aPq5XtP5r/wCyV5c/%20mK+01vlyY7PNElAoMbUeOyVqZaQ2p1W50oABUo+KrdTTCZtM92SiCgUCgUCgUCgUFJ53b/VnBwRc%20HIP3HmPpV1o3fmr9XV9vn+lu/wBkf+6GHjXta1hub5TkLspciO+srxsUrUUtKXqslJ00OifhUU48%20VvNmXJ942bePXVn6/NfKsOQUFE94uUv8d45HebVsZmuPRpCh12lhRTb7VWqvybzWrr+y8au7dMTG%20cYmP1tb2x4LhovA8Y9DK4uRlIEpWRZ9D25fqCVEaqQL2sTU8asVpDD3rfbZybZ/l6Qk85yfnGPCY%20U55iJGUDuzaE7wQPwhuwAcV5X++stsW9Gvg248T/AFIm1vT0j9MozhXudmZUY4GFGVls02TsfcWQ%20kNk6OPddv3Xqno5Fp/DEZl6L3P2bTSY23tFKT6RHr8lqHCuQ5lYXynLqcjf/AONhgstH4LWCCsfa%20KsfZtb88uRPuerT/APHp4z/qt1n9HwWfC4HEYSJ9Li4qIrJN1JQANx81HxrfSkVjEOVv5OzdbyvM%202n5t+smkoPLjiGm1OOKCW0AqWo9AALkmg4Tz/wD4lBDamR+LwFOPRlhv66W25sWd1lBllO1xen4x%206aD89ci5pzzM5NUnI5V592csqikEN9tvW7JZUBt+1QqJSmuIcj5VhMvHyESW41PitJCkuEFksFaE%20pbCUWSslJ9R63phHo/cDKytlC1CxUkEj7RUj3QKBQKBQQua5fg8SsMvP96Yo2RCYBdeJ/sI3KH2m%20giu9zrO/yEJwGPV0ccs7LUk+KQLpR/eTQSGG4Tg8YoPFtU2cfnmyj3HFHzsfSn+6BQZszy3CYlfY%20edL00j0Qo6S68fL8tAUoD4nSg5XL94ebZlTS8fxqdicA6NcorauQshRB7SLKCb2/EmgksE+42Uu4%205GH+okjcU5KR3JpUT0cSXLJUfJKRQlq5HF8ufz3aw3KMfiHNqv1ePGAEZCFJIAsokBy5v6SPM0MN%201/OsQcKMNNXByMVtJ7cyDMZQ6haVXLykurUsrKvV6aCtx/eHiuayUDCPLceeiudya3sUkyS2Cho7%20lCx3XClW8fhTqSv888plxX1SY0LFY1YLripxEpdvE7mldtIN/TpSOp3UzinGcth8u9Mk8knwMTlW%203HMc48GdzbbJG1pSnWzYnf6U9TQ+SMyszkkDMOZKfy6LieP5YrcZb2hLkrtAbkPj5kqcCrDZtVSE%20q7NCE5Y5YYjHQEZCOk4zIKlWkrLClKW6htx0+pYNrbb1KGs+1yNeSffenZuMvGrSzAyEx6O9BYbc%20SFlLzcdCXFqUVm2w3sRUIj0QWTmOqQ/ks+Ij29BvKgiW3JjraVdt7Y6tSlhSkjRI8aSlVuUc4ykh%20uK+MuiVLZW2uAtjutx0AN7lIf7p1U5qSL2v0FCVeX7hyo8qY5JX9Q9Pjq7i2yLIU8oLS2jwCUDTz%20qEqa/kFvs3eccVJuLKvZG0C1to8alDSoFAoNuLjJkpKVMICwolOihpYXurX0j4mgunF/byO4hEzM%20lTsZaVgRojiC+hxIJSVN+pTiLC52a0iRZ8LxuFDiMR3XIMeOl5bktU3dFEgOIV2wluQpLh2JVb09%20D11oLOzx2Vg8Y1+noHIccWwjs4RTTjTAfIUQXlBxQc/CbqoRKXzsdpl3Hsx2MvxxvHrbMbBxWw8v%20d4uy30NrQm38Z8aYIdBn4n3HVPxjzecbiwMqoQ2yQh15bTlrJW5Hs0beBSKCYy8OVjMcIEt/Ey+2%20m0aA2y6JiT4rasrvBfxoYV7DTPdV/kq2s9j0/S5CKhmE0w8lmU7EjrU4e6pxVkE7lA9DaiV0fzWJ%20MF3GT8bOxkVSCiyGVPNtLt6FocaSrcoHUKv1oiENJ90OLYqK4zlZpOVihtlhtSXEGQFEIbdU0r8x%20Nrjf562oY+CUxORRNakqxePe5FImgDJTApMZki23tpL230o8ANdKHqg4cH3UkTZPH5j8FjHQgnZF%20b7iXno69W0l0r1S2LJUUa0EnImZLh8RSpLGGx7BuqxW85IX/AGdzqnVfdTBESozfunzM56W9Gx8X%20HNZVsqS6tSrXj6mR2925JVv8RQhXZsmbnZC5E6S/Lbev3Jz6rFweKGmk7QhP8RT9lCIXT2uwULNZ%20vMQ3wWUtQoxiOMHYtlSXVlKkW8QRfXQ0IdGjchzXG324HKAZEBR2R882n0m/QSUp+RXhusBQXFtx%20txtLjagttYCkrSbgg6ggig9UCgUCgUCgUCgUFey/PeN4jKKxuQkFmQlnvlRHo2kkAbr/ADG3Sqe7%20n6td/G04lz+R7np038LzicZczn+8mWmx8lDYjpAfSpMVxOim0XtuV53TXD2+9W/FGOk9nnN39w3n%20zjH4Z/Ky+y/LZKZisPIcUuI6bRgrXa4nrby3daez8ua3+3M9Ldj2HnWps+1ac1t2+rtFeoezKBQK%20BQKBQKBQKBQKDSymbxWLZ7s+ShhJ+XcdSfICggFcpzWTUG8JALLCiB9fN/LGv4kN67x94qUSqXEW%20ZPIpuc/1HIVk1YyaGGGlemOAUlRIa1F7/GtGq0zM/V0vcNNaV1zWMeVOq+NttttpbbSENoFkoSLA%20D4Vuc59oPt6DlPvlFzJbxMqOy/KgokJu0wojtvm4QtVgdLVS5dLTiYen/t3k6aeVbxHl8fl8HSMI%20xkGMRFayK+5OS2PqFX3eq2uvjVrXExWInu4HL2UvttakYrM9IbtZq6v8w5HKwn6T2G0ufqEwRXN3%20gkgG4/bWrbea4x8V7g8au3z8v5a5WJadq1J8iRW1Qh5okoFAoFB6QncoJ8zaiJQfEuSf6hxz8zs9%20jsyHI+y+6/bJG7w62rXqv5Rld53FjReKxOc1iU1WxTKBQcl92uUSMZzDjl220N455UltTh/nF1BZ%202p063V0qjydtq2jEdnq/Y+Dq26Lza3W3SflHd1WI84/FZfcR21uoS4pvrtKhe1XazmHl9tYraYic%20xE92WpYFByT/AIlwP9FY6+g+uNz/APhmqfN/J+l6L+2P/kT/ALU37JZHKTuGR1SUkwGQlmA6tOxS%200oG1Xp8risuJNvHr29Gv+4K6Y3/0/wA38y+vMMvsrZfbS6y4LLbWLpI8iKtOCqScNj+DzH8/jY8c%20xHR/nm3LB9KBrZlepIH7lqiKxnOOrbbfstWKzaZrHonnfdLihhR3oT6p8mWm8eDHTveJ8inwt41q%202bq1nHeVzi+2bd1fP8uv/VPZrW9xM+UBaW+PY9R3KUlRdkqTe9iLI2ftrD+pf/0wt54fH7Z3W/VX%20+OV2QkpQlJJUQLFR6mrLiTOZfaIUP3uyH0nt5kG0S1Q5MstR460fMpTjiU7B/aBtQfkyW2jIDZM7%20sLIOOJiswWisuoS2AFKuq/z7STboTUYZS03YAjPZJL0lSUuARw4Qlx1gpT6d9gom4Tb063pKGx2J%20yMdioWNccLDfacfkyQncBvTuCbDdZSjpuoP3fGuY7V+uxN728vhUoZKBQCQASTYDUk0FdynOcPEe%20+kh7snkDoiLEBc18lOD0I/vGg0f03mueT/3nIThIKv8A4WIQqQR5OLO5I/umgmsPxfBYdF4cZKXR%20quS4S46T4kuLKlf00GnkOd4OO8YsRS8lO0CI8RJcBUegLoBbT/eVQUt/N+4OdnzI0zGLiY6GtTcm%20BEfZQ+pKj+Upx1avlWAf5ar0Mt/E5TjuIKSMdNxS7g999h2W66PH81CXVj7zQhAwvdLhmKOUguZQ%20vKM5bmPZRYFYWlI2HuDY1Yj5TahifUdzGE5Syf1JKcdjH9HW4cF12W8OnqktNLSm/m2oGgj5+O4f%20xtK8rx/jeQn41JQl+M4p1AeJIRvQZCg7vHT16Hwp8hswc1L5e69Fx/FXMVGihKX8etqGiS6k2N1K%20cF0JI00INBi5JNdgLiJxPA0rk4skuhl2M4EMkFBbecSsrHqUD13aUMoPkbvJsfg1O5VcnjmKkbUu%20YuKFT25KVepPbWv6hwLAGgCtv9FBr8skcW5BxheYzecy4jxgh/BR3ozzTqynx2ttpQrdpby8aSQi%20MrlcGmUlcmemNjZTbaeMOSoMh51bwvdx4LaU2k6jpTojCs5XlOHhrkZfkE+BJ5J3u5FS2zI7KVIA%20s12imyEmwuWwOtEzlWoXL8nk8WvMl0TswVKYMQOOMMIQskb3AtSGlKAV6CNRpegrj3Pchjy5B3Lc%20SE6odLTvbd3XslxO7chQ63JoKXIkuvuurUbB1ZdU2NE7iT0H30GGgUH1KVKNkgkjU210oJXGccy8%20vuPtw1uR421UgEpQdp/d3EX+6pmMCfx3A3ZbbbzDDzslaO9HhhO5LwBN0gp1sm3q+FQfV0rjnDMW%20/EekNLgqxzEdDGa+p7rT6PWVOAJRt+RJ+21Bn4txPGZ+ShOBkY11xKltgurlxm2o6Ce2ruLKCVkg%20fKelBbv9I5d+AcKxBwvI5hXs+iccW5MjhC97iw4Vbe24Em2vjQ9Vhy3t/hZHHjNhzF4lURxoO4PG%207o6EFagCl9JCXFFN9FeNBapGHgYFT2Mh8hyUiY9cLgtNx5Lrh/6xxTa9oP8AGoUn4pnCqS+G+47W%20UhPu51GJxsiYhuLESEOuMuqOjqiAtpHwSmwpMIXnG47O4hCkM4OHlH/GTGdP1CT4lbkte71fwmgr%20XLfdDC4nLYp2RCnuy4bympDLSUyHNrwCNm5reCAahHxT8Hks3NJATlGuPRHSQmE8P87br60vgtpJ%208KlLHk+NcehtY/LswmJao0sImSnSmUpxuQOyS4sFdjvc0CehqR85L/8Ab3BbmpZciyGlH6aDj331%20Or10KkNqKUnx9YqBynk/K+X5DkEF7C5qXjY8RwRjMkojuPbHkle0BKVIPy6hQuKZGuYmWW4X5GUE%20l5N/z5KS6qw6EbgQn7qdRGyWM3PzOP3ZNH0SW3yh0t2U9tCdyT6b9s/tqRKLGYShTq8q000gaq7I%20slI6WG2oPV0D2Edmu8kzS5bLbKjDY7Qb3epHcXZagroT5UjsOo87yMfHcMzc6QEqbjwn3AlYBSVJ%20bJQCD/FaghvZjkC+Qe2mEyzlu5IaVvA8Clak208rUF2oFAoFAoFAoCiEpJPQC5oOdcx5OqZEZyPF%20prkjJxHjHOOZOqwsgL3I6+m2lcTm8muzH2rY2ROMPOe4cuu2I+zfG2JxhxvkOSM/MIyMp9x52V63%20mHBdbQRpY/wgiuDurstXzt1mfV5rkV23r9y+ZmemXlTS4MgusKRMTIAWUhQulP7tY8bizvmK1/T8%20kcPhTyZitf0/L9KU4ryiZxTLvZhqG2qI9ZL8IqutKCoDchzpf7q9VxeBTTfyr8Ht+H7Tr495tX4Y%20fpRh5LzKHUfK4kKH2EXrouk90CgUCgrnIeUP4vkvHcQhkLbzTshtxwnVAYZ7gt9ta73mLRHxXePx%20631bLT3pEftlY62KRQVrkvOInHclEZyUZ1rFyLh3LWPYaWdEJWq1hu+2tWzb4z17fFf4nBnfWfGY%20847V9ZWGPIYksIfjuJdZcG5txBulQPiCK2ROeylek1nExiYQ+U5lhIDxjBxUub0+jijuu3+KU9Kl%20iinZvL8qbDZhYZ8Ae7IUPgRt7f3g0HqBxvFw3zK2KkzVarmSD3HSft0H9FBLNfzEfaP66Insovtq%20R9fy3X/+6D/3ZrRp72+rre5fk1f7P4rvW9yigUHlxptxO1xIWm99qhcXFExMx2e6IfKCke6H/wDz%20P/iqf6hWjf6fV1vae+z/AGSvTv8ANX/aP9db3Ijs8USUCgUCg9tfzUf2h/XSEW7KN7R//Ts//wAR%20kf8APVWjj/ln6uv7z/5K/wCyF2re5JQKCMzXGsLm1Q15OMmQrHvfURSr8LgFr1jakT3btPIvrz4z%20jyjEpQkkknqayaXygUHKvfrFZWXjMe5HjKnwy+hlcRB27XFK9Lh0OhuEmqXM12tiYen/ALc5urVN%20q2j8XfPy+C4QcrjOMYCDAy0htmcyylJhMkLWDYelCRa9ulWtVZrWIlwuburt3WvWOkyjJXMeQ5C6%20MXEGNjnpLlDc6R5hr0lJ++s1VGIxDb0lMnIvOZKWCCHZB3BJ/gAtYUFp9nsXEa42Z4AXJkvvgrIF%200pS6pO0fDS9YxWInLdfda1Yr6VXDLZzE4iMZORktxmh0KyBc+Q86i94rGZllx+Ls3W8aVm0ojCcz%20/W8mGIGOkjHBClOZB9BaRuHRKQR6r/bWFN3lPSOi3yfb40Uze9fP/THVZa3OY5J/xLBJ4JG3Nrd2%205CKsIavvul1JBG3XT4a1Eph+bscI81U/IMMLu0p1CZDrrm9n1kqNyd4UVaUgeYuNRioTjuLcckZJ%208BT/AHgl1sd7+JW66rK8KDafTPgxEQWUszHwphLygpe9CUrSCpxR9Gn7qTQfuFi3ZQAbgJAv91Sg%20cfYaQpbjiUIT8ylEAD7SaCszOdsPOqi8fiu5mYnRRaG1lB81OL2gj+zegxf6X5FmSF8jyPajHU4y%20ApTbZHkp70u/brQWCBisNh422JHZiNJFlrASkn4rX1P3mhCEn86jreVCwLCsrOTfeUDYw1Y2KnHV%20bUkf2LmgpuRi+4eWz7kDJ5uMxE7X1rGNiBaI7zKSEKZfkBKZAO5V/wAs9BrQTUZzO4uJ20YOH9Ci%20ynJWMd7SbDp/NLZUpPjvoTKlOe7WLjcxmtNYTJyBkGEJADaVoceYuCvegq9KN+pSfGgtcWaM8m+T%20zaUIACm8PFdcjJA83JDnadKh5bqEdxfGuNNclZbVh4LsXLQdAUNLSH4hU4F9wg7lq3i6iaYR2h4f%20i4FMgR8DEmO5RP4Mc+8iOx/EoKWhg/Ym9MJ+SvToHudG5VADucMiA0yqfIhFtDriBuU0DZSSley2%20637NaGEjyPF80lyoBwPKE/q81C3e+iMyg/SpQR6/QL+uyRu1BoKuvN8kwWFei5mUJpdCt8TFBhqU%20pwnYpUovFpRtuN1AkeVBWYmaXAKkrlZObLbHYjTHn4hiMMN+gIbaU7YrbuBvCbnzojoi8fm5WMkP%20pn5eXk8lAaW0Yk0tFcZSLBBZaBLC2zc3IuaQmVG5V7gZKM87xzGZiRPWJISqZOaaV2kN6oS2lAWE%206qN9op0HNVZvI/WPSHXEvuvaOKdQldx8NwO37qJa8qXvW4mPuZirIIjhSikG2vU+dENag+gEkAC5%20PQUGYQZhQpfZXsQoIWbHRR6A0Gyzgcu6642IriC0NzqlgpSlPmVHSx8KC88U4VP7SpLuMcUlbKNq%20I/5rq067lpBJSUr/AIelB0GDxeROzmJTNw85ltptC40iOuOWWwT+QVpK/WdwO7uChlNxMHymMmLn%20Jsk4HHQ1lTElKGds4BX5nb2X7QUn029OvXShhZMW9i8jNys9nJY7MY8SkvHHqiKaU/ZlH4o7V9FC%20xudptrpQbWB5jhZS8liI/HWYUVx5K40l2MSw0iyUrS3sQp1ag5dXTb4UEozxT25w+eiZpuSlaMql%20cLKT0SHIiw6PzELCUKbUjRvZtSLUIlg5h7e4vNYiXlITM7DRmCla5ZlPqkTEJWE7gCtXo103WNBb%20cNxbI4dhDOAy6gwtAcP1rSFrd3a3ek7VOkH+1emRXeZ8o5CzjpUKHhWM/kWVJlhWJcV2WVM3IU8t%208toNr9Ek0T3bUPkuVzcNqfyCHO49h5KULTHipStboOlnHWSp5F7fgNMo6JLITOLL47OaxUmPHdZa%20+pj7kLbfBj/met1xKTuNtLmh1YsvzrhBjNSH0sZeY+0gCEwy28+VlAuFvEWTr/HQcf5zkJ+bZdjR%20L4LGslpUqNAec1PeTtSrXb3Oh0pJ0YnoeTiuIhYacXZbit0hcsBx3tkerdIO5zcrwG6g9SHIyUQG%20rfSGPMT3mXj6x6F3Won593mCaDZ7UiatCnLtY86tRtAt234nFDVKfheg8TVoYyMB14hDQYk9u1jf%20RNkpT/5qDKhiVJKH5DC2mUG8eGsa3/6R3bcH4J6UMuieySVjleaKwQVQo510/wAVdCF+90OPN8g4%20FmsW5JXEbdjLWp5sAqAaHctY+e21BH+zHDmeI+3uMxLMtcxko+oQ44kJUO+e6U2T4AqoYXigUCgU%20CgUCgEAix6Gg4R7lcdZ45yZM+JMMdnLlQ+jYBSUq/EpThulO69eW9241ddvOPX0eM984ddVvuRPW%20fT1UNpUht39Oc/yMRwLKVAh111JB0KhVHTMWxa2bx2isOdx5rbFrRbZHaKx0xLaixmYzIaavtHir%20qftr1nG0xrpiI8XvOFxq6tcRFfGZ7vGR1gvD4D/nCrC3MP09gl78NCV5soP9FZsG9QKDTezGKZyD%20WOdltNz3wVMxVLAcWB1KU9TWM2iJx6ttdF7Vm8RM1jvLcrJqfn/3U5Hl/wD728XxaXyiJEdadZSn%20QhT6i25r8Ui1UN9p+5EPWe16Kf8AC2Wx1mJ/ZD9AVfeTY5EmPGZU9IdSyyjVTiyEpH2k0FXyHMIM%209DkPFwFZoKulaiAmN/61QKD91MJraYnMOdciwWX4vgA9EyCoTE7JRkOYyKT2UofeQhxF17zYpJ6G%20quykUr+Hp1h3OFyLcnbjbi3jrt+6XTYWMx+Pb7MNhDKB5C5/3jc1acJsUCgxTI6pMR6OlZbW6hSE%20OD8KiLA/tqLRmMNmrZ4Xi2M4lyn2o4xyGJynLvZFkQ2YL2wkbv8AMrULpWLk6bao8bRNbTM+j0/v%20PuuvborSsR+L9jrdX3lCgUCgUCg5L75OZxqZglxm33oofBjCOL7ZV7JC9DYdNao8ut8xh6n+3dnH%20it4vH4v/ANXT8SMgMZF/UjeeW0qk28FkXKftHSrlM4jPd5zkTSdlppGKZ6NusmlWOXcnyeFy/H48%20eOh2FlJX00p5XVF9oTt/3q07Nk1mPm6HC4lNtNkzP4qVzC0KFlEeRtW5z4fKBQamWkTo2NkSYDYe%20lsoK2m1dCUi9Y3mYjp3b+NXXbZEbJxSe7mvsbmZs1nJxELS7CYfccfWG1IKX1qJKLqPheqfEtaZm%20J7PRf3Do0UrS1ZmbzH7HVavPLFAoFAoBISkqUbJTqpR0A+00FcyfPMJFWWYe/KSunai+pAP8To3J%20T99BAzMnynL3S++jGRFdI0eynT5BTh3J/YKGXNY3PkY7khxIxSA8Hy1JfUrc4oXI3AqJ+3SqE8yY%20v4zD1lP7c17OP92l5z45w6UJURTgbTIbW4eiUrBJ+wVe8o+Ly06rxGZrMR9GZv8AmJ+0VLBTWk8+%20jRsVM47EffYQ6/HS+yq4bLsle4qRY6AKJvVHk12ecTXs9V7Nv4cce1N2PKZz1dbwfttg4MhOQnF3%20JZNQClvS19wJct6tiQAkC9b6cesdZ6y5fK9427I8K4pT4V6LalCUiyQEjyAsK3uTMvtBy/8A4gZh%20h8ThvJNnDOZbasSCVuLShFiNQbmkph+a3MbEEdUGQ+tpYfecyclKilRBcUra4E/Md2n2VHQy+lvJ%20Py48NpIagxU/UMJsGXHU/J0RoPm69TQZ5koMIYgGE4y7MfbQ3t2qbK94O5aid3QHUihMv0xzvlfP%20GoqMVwLCGdkFpCVZN8oTEYBGiupKz8LWqUKz7Ve0XPYUnIy/cTM/q6JrgebgoedW2ly5KioKCU7T%20+70oejrinMLhYJ3KYx8JhJUR6WkJSOptoKCrn3ETlSU8WbZmMJJSrJSHUtRbjrtNytVvH00FV5tx%20x7Jxo+TzXJlSGILvcnQ4sgR45YUmx9KFJDmz5vUKEpF2cMNj2GsdyWE/BdaS5Dx7sZKWy2bEEuR0%20OK3W8+tOpMKxludc2TnYz8fipfGKYU99ahVmHWHVBJ2pNlAhSwbFIp0OieTNZd7TvLkz0pcT3I8E%20NJbhm/U/5ZSu6gX/ABig28jyTAsDDTYeQjNRsbMQ0+mODHCGHgSUBKktgpOz1Cg9nMYfOtKRh8RG%20z6d1jOdbZbhhY6lTh/NP+7SE46qnyz2layGUwyX85LxsuYuQE/p76kxIoQhJCWmdyEbddbgXpCIY%20V5iHxxwceQ9lJ2QYNm/00lMVxI/xHCVIAN/m2g1B80DE9wp8rlUyNM5TbNpYTFxkKPECbpKwrtLe%202pAUL33X++pFcyGPzsXNycm9KeizkqMdLrOQcWhKynuFAaSotncBuIPp3UFNfyWRcEjKTpS0zpr3%200rWRlNtOENJuFpUbqOwbbfbSBHZznsQsJwuTx+PkIiXGNyEdHacYQnoShKAlzfoRu1oKbleXzJjz%20rjiUOShubZmpGxaWvBKQOlvCgg0ypCJH1CHFJevu7gNjegxEkkk6k6k0Hyg+hKiCQCQOp8qDeTj1%20MoQ6+pTfdb7kRSBfcoKtbTpQXzjmNy83dHW6lElMYSXPq0uNtjoR3VJSoLCkm+utMEwsnGUY+TEk%20KnZcxW5RKG5UxDz+PcU2fQwlKkrKkpGg3oFB0GFgcg9GjclwUNWWyLaSotY6S9DhwkrH8ooT2wls%20W1CBp5VPzGwzxRpjir6+Vh/BjIoXKjuY6U+60+u10tlXpWnYddqR41HYTPF+PYSJim/9MvZHOutt%20gSsbkP8ANxAm9z6ZSvyhrrsTemDCQ4wxyVw5CTK481AwEx0uFOFUhmUSlIQUJKiz22fRrtNybi1q%20CTyHuV7f4zMYic3lW4bTSHIEyOsK7qGtqlpCUpCgpResCrxolrTI/CeVzUS8linZ5ABx0CEz2ys3%203Bxbh7V3PHU6UOuWfOHmmPguKwsSSliSCwjHZdwPOOeSG0hTwAA13X8KIYON47neRwzAy6EZCPDJ%20isx48p2Ls7Hps4UbS4r+1TJK0fr2HxcUtTMLLwWMKFAslphLLgI9Vy0tWvxIpIqmD91sREwMWNCT%20IymTibmHmmVFplASbjeslPQK8L1ORSuVZvKc3U43k/p2cGV7nWYqNi3Vp6DvAJcUPO9QZQGPgQ2M%20PBaxgXCmTSttP06iLpS4oFa06A7Ei9z1oYMqZkTGuwYUlM5SVNd8ltLfbPeTZxZToq6taGW+3Dyj%20TDiJE5hlBUpyQ8ygKK7m5JUsJUCOiQKCLyOEhz38bMmKffablpREbdWoLKChRJXYnTQWod0q/jsQ%2002qQ6h4IHU/UO3UT0SBfW9BHHA49ebx0mQ08D2ZCmYpkOKDYATtXcnRR8bUJb8iKllAWZ8wqWSGW%20UrJUtX7our+mmTMuh+wUZ6PyTNJfluSnVRGFErNwi7i/Qknrag6zy5YTxfLEm14jyb/a2RQZOMpK%20eOYpJ8IbA/8AZJoJKgUCgUCgUCgUHNuYe1czM/XyGsjteecU8whwFSU312+f7K4vI9p+5e1/Lv2e%20f5Xsf3dlrzecz2+TiLMiAcjbFIU9LSlSZjrytthcpBG6yfmHhXE5HF2a6xFvwRnph53l8LdppEX/%20AAVz0x/jLf8ArmVxlOMJU5JQLbUkbdwNuvlV7j8jk7KTWkfhj1nu6nD5nN265prj8Nf5p/M8S3Hn%20oa3HUJbUUi7aOg1F663B0bKVzstNrT+x3vbOLt1UztvN7z+x+mOMK3cexyvNhH9VdF0EnQKCC5Zw%203D8lhdiYlTMhB3RpzB2PtKHRSF/7DpWvZri0dVvic3Zotms/o9JU97med4B2YPLQJ+KX+Xj8yzov%200/gkA/j6agAVonZbV+brHxdfXwtXPnOn8Gz1rPb/ALXF/cHlkTMe6UTNRC606w2yYTSW1LUpxCyQ%20n0gg/bVLZtm981el4fBrxePOvdPTrl+gInJ+VZKCwIUBMZakJL86XdKdxGu1oFK7g+YtXXrnHV88%203ePnPj+XPQRxlt54ScvKdykgagOna0k/woRtBH9q9S1pb8iMwogJZYaSVKCQEpCR1NhaiYjM4hz7%203PzuGn8Ux70OY0825k4RbIUNQmSjcQL9Baqu+9ZrGJ9Ydz2vi7de+0WrP5Lf+2XRNyVepJCknUKB%20uDVpwpiY6SUCgUD/AMjQKBQKBQKBQeVttuABxAWAQQFAGxHQi9ExOHuiHygpXuVf6zif/irX/PRW%20jf8Ay/V1vau23/8AnP7pXhQu6R5qt/TW9yI7IPi3JG8/ElyEMlkRZT0QpJvcsrUgq089ta9d/LK5%20zON9maxnPlWJ/Wma2Kj6CQbjqKDTxuHxeLbdax0VEVt5ZddS2LbnFdVH41EViOzZs22v+ac4bdS1%20lAoME2fCgMl6a+3HaH4nFBN/sv1oKtL5+XyprAwlylDT6uQC0yPjtVtUr7qCFkx8plDuzc5cgdfp%20GSW2B9lrLP3mg2WI7EdAQw2lpA8Ei37T40GSghpnD+OzZ78+RECpchvtOOgkG2liLHQ6VqtprM5m%20F7V7nv10ilbYrWcw50/xDO4DMIyr7TsqDDkJUxIZWVOKbBuAtsEn7dK59uPfXbyjrEPZafeOPy9X%202bTFb3rjt0iXTsDn8fmG0uRV7XQfzYy9HUH+JPWuhq2xeOnf4PG872/ZxrYt1r6WjtKb4bzLD4Dj%20HYkqU9NLz5agsJLjyh3FHRCQTU7d0V+qeH7ds39YxFY/mnpC68Yzc/Mw1zJOOcxzSiPp23iO4pPm%20pI+X76a7zaMzGGHM49NVvGt/P447JmtimUHL/wDiCYjv8ShpkFQaROYd3JO0hTS0rQbj+IUlMPzX%20hok8mVklJRIclyXl9mQSlSAFqANwFdbbqj0Th6Xkco5mltxoXeUIxS/JaV3ENp3A7k7tu40Y5SWF%20OLczmHjqSta5M5oOmUnV4bVXTbXT4US/S2Xj5LhDL+Yxz3f40wkvT8Y8o3YQOq46jewH7mgqUIdH%20vVic+yhfHZTUOEsDflJ6VpA+DLaUrDhHjcimCUTyXHe2/IMLKi5nPpy05xPcQ9IW6hovI1SOztUl%20tu/gKJReDxnE8nDbb4DDZlyGQG3oT8ZD0OO4n8K3HLKaSo63Qg9aIiTD8ekZ/Hqncs4nBXi0OuM/%20p+ESk3U0ohTj10tbkaaCg3cZzrg3EEPcdg/SxcipSV4ph1sNvqS4RfvBAV/JSolOuoTQjutMPkvE%20oiSBn47773rmyXQ4VvKIsQobT6BeyU30FTJhGPe4nE+OOlj9bQMFJG6N2u4pTEj/AKIXSPyl62Hh%20ao6Ct89zvDsxhGstnGmJTUJ9D0HFRmy9dOvpkLUlN1OeViBbrQmHiVkvb/jjjDKYM44ZxO5qAyjY%20+0k/iRtV62/tItQhCcnZRLxUPMSMRlmWfqk/S42HLKQppZAUXFhSVX2/NpQ7K3kZfLVZaG5j5crC%20PlCmv9P5JwoSGm7rKWSkrStK0nRRt6qGEJnPcWS82486uOhiSTGn4tKfpZjKWx6ltrbCgpCwLHUX%20vTJnqp7PNuMtsrTFjogCQtW5CGkrSUpSW0B1JsNdFGiFSy2dfU0iE0+28w3c+lpKUpUTc9s9bX1v%20UJQjjjjrinHFFbiyVLWo3JJ1JJNSPNAoMxjLEVMm42KWUAfiukA6/toLFxji8uYhUh7Eyp0ZaUqa%20MbbewXZXVQOtrUwYW+HwdxuO+7tblRUyWvqI+ObDzxaVtuh1DvZSkIBtoT6x99MC8YThODYzjUbB%20cggMsBJlDH5JgSXSsadpCVja2vWxSDa/jSUrFxbCZLPcgnNQ3prbLikdnH5VlLUB12ONjyUlK3Ny%20UL9IG3UVDHKxQ4PNYqpz2RjY48fiS3RMYjtpLbDraiLqBSne0nWwt91Sll/UOU5hxTPAMni5LbrS%200zWWR28aA5+JQ2izptqQm9DCT4hhuYfUN4vkGWjtZWKk/Sw1R0rDTbeqXIzZIQq5v6rg6UgZOR8E%20GRy0Jn9bnsZfJBxb0iIowWExmxdwuRWlFDi1i43KNPUbB47F49GQ7nWncvjGrJTkm3iHdt9O/GNk%207fD5jemSYaEfI+zmb5RKlLTiFR8S2iMwlTIQ4XnEhanAQgkbEqKdPEUyYylHPcOBhXEwXDNyuGcu%203ipUNq25dtwjruUlXT5qfIl9a5thYTZzvIES4L+0BouMJ7cVvqWkeq+/95QFDMqkx70YdL+ecwON%20fyUVctD0aW8nttB2RvU4TYqJSCPTpROZQGS5nPzDxcykye+ggpERhAZipH7vbCtqh9vWiFcxmbx0%201mY0hqQnFpmuFK0NCz10p9KRcbR50hMJZWcxSUFakSmmGkantAIQga3sFeFMIQXHsuuZBL77MiHG%20c3tIc7YKlsBwru0q90hX4ldaQQ3svl+ORMBIS1MZS0ktWbQFFZ/NSq2qRuVRLOcjhZTgkTZrQAsY%200Y70hA6hSwE2Kvh4UQx5jkWDZ/T3Vz0On61JLbe4rV6FjS4HjQwzNZHGl9L83IxvqG79lhG/Y1bx%20B26r+NB8l5CEjI4x1s/VF1qTsbbNjeyLbibEChDbYLKVqkPyGly1AhSwfShP/Rt/D4+NTMEw6L7H%207VcnzTjagtr6NhPcRqncHFki/nrUDpXOFbeKZLpcsqSL9NdKDfwIKcHjknqIzIP/AKsUG9QKBQKB%20QKBQKD44LoUPgaD8dYhCf9R5FChcAHT7XVVqvStu8ZRbXW+PKInCwttttp2tpCR5DSlaxXtGGVKV%20rGKxh4lax3Ps/wBtZMn6Q4erdxbFq84zf/NrNgmKCu8z41OzcNg4/KPYubDc77LrRGxZAPodBvdH%20nWvZr8o6Thd4XLjTaZtWL1npMSr+G9zZjcl/DZyAXM3ESLrgfmx3rjTYsEhJPiFEWqNdrdrQz5mn%20RERfVbMT/LPeH3PYnK8xjNxc1Hbx+MQ6l5DF+5IKkG6d3zN1nasW7qunkX1Tmk4lybhnEpUf3fyG%20MbR9RGxbu9c5QultASFJQm+gJNc7Xp/qzjtD2XL9zj/6+s2j8V4d/UoqJNdN4eHyg082kqwmRSkF%20SlRnQEjUklPQCot2ls0/nr9YcEhcLzeb9rsNJwrKHpjEtbT7Lmm1JdO1wf2FG5rm/Y86RMd3tZ91%20jj8q1bflmsT+nDuvG8W7isHDx7zxkPso/OeN/UtWqrX8L9K6GunjWIeP5nI+9tts7ZSVZqxQKBQK%20BQKBQPA/AE/sF6Cne1vMMlyrBzJ+QQhDsea7GQG+mxsC17+OtaOPsm0TM/F1fduJTRsrWnaaxK41%20vcooFBx/3syOch57j6GO6qOuQlcEMpCh9QlQ9JuOvTrVDl+flGOz1n9vzxvtX84/F6/7XXMd9V9N%20GMs7pJSkvEfvHU1ernEZ7vLb5rNreHSvopntN/8Ao+X/APF5v/v3K06O0/V0fdvz0/2V/dC71vcs%20oFB9AJ6a0ETl+UYLEJ/zkpPd/Cw1d1wny2o3EffQVuZy7keQ9OMjJxkU/wDxMiy3iPNCU7k/7woI%20xOHYW99ROccnyjqXZBuL/Bv5B+yg3xoABokdANAKBQKBQKB5jwPUUFT51h3UYxzMYdH0+XhkO9xr%200laE6rCgNFekeNVuRrzXyj80O17PzPHbGrZOdV+mJYfZT3MhtryCs+iOFoSFw3kovKU4pQBaSLXN%2073qtp5XXN3b9z9hxWK8eZ8ZnrGekfN1BGa55yRJbxkD9ChlRCp0uynSAf8Nsbv8AlCrHlsv2jxhx%20/scPjT+O33rfCvb9M/5LtEaeZjNNPPGQ6hIC3lAArI8SE2FWYjo4uy0TaZiMR8GWpYOT/wDEg621%20wuCpwqCDk4aVBsblKSp9AUkI03bhp1pI/PjU+JKelRg4YsdmQ8lwOjtuLHcUQ3bWyQOv7KxSyl2M%201k0hpIKTDUIzDJ+b8xOiRUpzhIYxp08hwL802e/UGktNE3DYKVXA81eZpCMP097oNMvcAzbLyQtl%20yMpLiFdFJJAIqUKVh0O8bkvYvDv3itWfiwX9Y6owFywz/wBE414mxvcUg6s8vnsfK5JzApg5Bj6Z%20IOYShkLfF/8AAT6hofFX9FMjYlOOFbU7BcdnwHmE3YltpEcOW6JkNi+9F+tzQn4K/wAEyvLJOMag%205nbxxiRKe+lmtDc5MWpatwaPp7J6p8aDJn+FYR7Nz8xFiKclcdDLaZoXukOl0oU+pbtr720LUfuq%20SVgzPMHeJxmHZgezmOlpSvGriN7pSUqTdv6hN/WlWgLl+vhWOPkYVpnlb89iRmsyiFCkKT2lRMi6%20CqKVf4bcMpspXhu3i/WpwfRRlcpzWCysxh/NrmsNtlMLFwo4eERL3zhHqSClG0a+FBrL5fksclMD%20H5xyU3OiuIVIyDO19wAelEd3cuyFX/Lb+3WkdD6qJPmSJAeyK5rScYqKW8lKkK7Ehxw7h+Qj1Wv0%20231oYUV7mkuTHLb7zkmLFSOzGkulRJKtpCTb5dtrpqBHP8uyD0J6GptpthxoMtoaSEJQkOb9BUiC%20oFAoMrDC3VaAhA+ddrhI8zQWfBcCXlsXJntzAkMvCOynZcOLV8tjcdaHRYuO8MD8aXIcivIaxjKX%20MvFdZ3JR6lBSyCRolIvehl0bjmCxrSkZhpyBg20NOiA+VguSVpa3IbeYsnbrqj1HWh1WN7g86arE%20PuKXlsIlYckZhMr9OQl54WSyQlL25KXlAX+6mBuTOKc/OWnR4HHcPk47UYMuvRVhp7d3Eq3fUBCi%20XkpG3pRGcp2HxDMcix4xkLOKwMmNtvh5azLWwtJ/mbD2r7utM5ZZbHEuHcvaeyapeQa5PHizVtqg%20zD9M2t9BIXIWfzdyvJJHj1ohr/q3txjeQowmTxDeOYya3ZDqQ0B9PKBHp7o+YO30TbS1DCQmY13l%20OORH4wvKOxlLuJU90hpst9AyvUt28NKGGhx933AbkypvJsmgQI9sa/l4TW55pLJ3nebjamzmrn9F%20IMrXkcNx6JipWVdjnKL7J+lny3fqS666NjOpAvdZH2UGF7jfDsNiIjuWDGLfbaS4rJIcDMnuODcr%20YoAkhKlbR8KDn2Y90eSTM7Gx+EUcnCxN5TWQlMBBdG0tWSncruKSV/NcUIQOR5Jks9k/o5mQkvZV%20KQXBMGxlhOl+y3dQ3q+2hno+xD28lk+2rtMNoj3PQBO1Wqj50De/OstxxxuB/hNpVsW8B0Uv+D4e%20NB8gS+xHnOuOdplM10KUP7KLADz8qIwyNrmyHA5LSWo6TvYh7rlZ8FPaaee2iZhhxs4R8JCdfcUl%20J7oQlHqUVd1fpQnShLBlEPvYt2TLSNzamTGjEaNgvJ9av+sP9FBJzJHYT3HVFa3DtZbT6lOKJvtA%20/rohHzG3C/j5ElQM36xKUj8LKdi/Qj/bRLdkS+ztS2nuyHSS1H63t+Jf8IoI5zGwk5iG5IYZlSnm%205KpElaB61WToPgnwoZZ5EeCHUxY8GKqUsbirtApZSfxL/wBg8aYMOq/8PsOJDichaithtsz9xsLb%20lFpAKrUwLv7iKCeIzb/i7aR9qnEgUE1iklOLhpOhSw2CPsQKDaoFAoFAoFAoFBjkodXHcQ0vtOKS%20QhywO0kaGxqLRMx0RaJmOj8eYq6eXZJCjchGqulz3FVEs6wslQljkfyHPsqB+ieBOdzhmGX+9EaP%20/JrYwT1Bx33A5nPh85VjZxdc46wylb0eKotuhSgCVlSSkkC/S9BcuNyOPSMaiTgS0YjgvuaAC9f+%20k6Kv9tBKEgAkmwGpJ6UFG4JNiOcx5qlt5Ci5OSUAH5gGm+nnVbTaJvb6u17jpvHH05ielf4yvNWX%20FKDUyuVi4mC5PlX7DNt23rrWF7xWMyscXi237I117y5ZwXmyMT7c5FbDf/eUB9T307mgLbzpAVcX%2086p6N/4Jx3h6T3X2uZ5NJt+S8Y/TEOsQX1SIMWQoWU+y26oDoCtAUR/TV6JzDy2yvjaY+EyzVLB9%20+NB8oFAoFAoFB9AvceYI/aKDnXs/FYw2Fz8V14dmJmJDZfXZIPpQdf21V4+KxOfi7vvE227Nc1jr%20bXHT9a/RZ0KWFGK+h4I0XsN7fbVitons4+3RfX+eJqzVk1FB4dYjulBeaQ6WzubK0hW1Xmm/Q0wm%20LTHaWLIvS2IEh+Ijuymm1Lab/eUkXt9tY2zjp3bNEUm8Rf8ALnq5T7H5rKypmXgbg5GbkPSJl07S%202884VlsG3zAqN/CqXEteZnPZ6f3/AE8auus1/P6fR16r7yYpSUJK1qCEDqpRAH7TQVvJc9w0d1Ua%20CleTmJ6sxx6R/aWran9hoIGZkeU5YFMuSnGxVf8Aw0S5WR5KcICkn+yaDFDxkGIdzLX5p+Z5ZK3D%209q1XVQbWpPxPiaDnsn3SmR+QHDHFpU6h4NOq3kelRFlJuR4GqNuZMX8cPV6f7cps4/3ovPbPZ0LT%20qOh1FXnlCgWPlQyUCg8d5i4AdbJPQBabn7NajMMvC3wn9T3YH0qAKTooHUEHwNSxiXnhvt9xrN43%20JrkxkNy++Ux5TKQ24wQAUlCk2PXWtVtNZ9F/R7nv14xaf0znKz8WTzrDZFGEzCTmMZYmPnEkBwfw%20voNv+TesdcXrOJ6x8W/l24+6n3K/09n+n0n6LpW9ySg5d/xCMKf4fGaTYq+sZcQkmw3NrStJ/ukX%20FMJh+eWJrEmElzYJan3Xu02ofjS4pK1q+G4GsRqpwuORmHpcxtDjqou9awClCbLSkBtF/u61OSEl%20hMS2nkuCmGOIoE9rsx06EDar1rv4nypA/UvunIbje3mdkO27bMVS1XNhYEHrUoUB3JwpDCZRL8Fb%20u2VjlS2i0hxVtUBZPqbXpuNMEwjsSjEZHkOV5XAfWGn5LeNmyYy7OMPt2LOxevp3OerTpT6EpHmX%20uDKweGQxlmFy5OTX9E3OhJJW6gmziOwLlC1Nqtu3UkZ182cdxKWswwnhWEWhLLb2WZKnHEW2+gXa%207a/xBWutBROI5TNSY07Fcdy2YkpcceXksu7HVLbMcLLaC2gFG67Vhu3UwNeLkMxiXJOLbyORPFJN%20mWuTS0l31JQd0ZLXp9aVpslO7woKTnOUYV1TBebjZmfjUOsk8tbLTrqVEWKFlSb7LWSm3p86Cp57%20mktiExjH8g8lnIRW0yo+PWGYojrFw0bhZc2+dxUIQMzl8+GqXFxOalpxy0o+nZKt3S9kqV/D50Th%20X8pmZeTKVyghT4+d8Cy3D5rN9akaFAoFBKYfHxJP1H1KilTTZcSCQhNtBcrINtSKCa45xV51mQ7L%20gOzIxbul2KgvKZWflLgHypIub0mEug8Q43jkYebj4s1OaZlKMUR8SA68lw/y5D4F/R1tU9kZWhU/%20jGMkRoEuRGx/0qNrZfIelIdVoQtgbCVosDtvUDGiarNwZCJ2b/WMtGkgyIik/RLQ+9ZDbKEEud1K%20gE60yZXHJe3H6q+yzyXiEBnIMxN2OTDf2FxxNz3HDY7kpHzI+B1ojKSgY/jOfhMDMcYlYPDxbNyH%20GGVuMSVtG24PjalLe5N/l60SkoUbiOFAaj56WePuOH6ZiG+G3o6lm5C2yFFaSo33XFqZM/Fvcl4Z%20xPIliL9ZNyOaWkO40CYlZSD8rq1pQNqdb60MdX3E+3bXHE9rPTp2bhzFlUqbJc/KEgn1d5u38tRv%20ZW7SkGUgy9xaPmhNSI0SBjUqYiBCQVyZQtuWlF7rS3+E38aENPOYzLy4czJcbgvcafjMKdVk1pLP%20dWgFSQqGdVj+/QauPkSuH8Zx68jy/wD7wdZ7giPMd0uqWokkRwtKiT0GtDLl/IeU+4EvJGPjZkPC%204h95p2W0yyQpTqnAEKW0V3CibG16HcnvZNU5xMtgzcm8kqcySHO+422D2ydgAso/hT4UJlpPZrHR%20s0xCjd36tEJTaWnGilbSi4D3HU30K+o86QfVtqfZTBeaVAkOxSQ5LkP/AOXUXv3xcK8zbyoeqOxr%20fIpeQn/UNMLhNGOY7broDjqAlXbU6q3qFvhTImXH8022t99iGhtPzKL46n8KRbr5ChGEXhk8geVL%20lSYsVARMcUzEW6AppW1N1K01PSxodkk7KzkdvuLixVKVdLaO+Cpa+u1OnWh6I/AO5FvHRnpGMU9K%20stKFB0JQ2lTqrpQNp111oHIcpLbxS0JxC1PurbDSC6DYpdTqobfl0teg3GlTWnjJexC3Z6gO4+Hg%20ALj5EenRI6UTlqZnJ5JMjHxY2JUqaZSVoQt0FAAQr+Z6dOtxRGG61KDJWt2JLXMd0feSyVhSv3Uq%20H4fhQ6NKXmr5qE3ChynXm0PodcMdV2SQn1FN/Vt8qYJbsaUw032mYk5V1bnXTHUVuKVoVL1+GlB1%20b2BkNSWuRutocTafsPdTsXo0jqKC5+5QvxGSn952Mn9r6BQWKEnZDYT+62gfsSKDQ5VPycDj06Zi%20223ZzDRWyh5W1BI63P2UEB/9zcRAxuEOWDqsnloKJqY8VouEjakuEAHoCqiUtxzm2C5C641jluKK%20G23kqcQUJcbdBKVtk/MnSmUJ6gUCgUCg+E6EjW3gKD8iMojxeXS32XPqX3t6X4hSAlob1WJV1vXG%205VuTt6a48Iz3cHl35m78OqJ1xnvPdNLUVK3WCfgnQV0dNJrWImfKfi7fH1TSkVtPlPxY3/5Dn9k1%20sbnf/b55qN7eYV59YQ01BbU4tXQAJ1JrOZwitZtOI7rFEmRZbKX4rqXmVfK4ghQP3ikTE9k7NdqT%20i0Ylw33IgzXfcKatplS0fTt+ofAJvWjkcqmqM2nr8FHlc3XpjNp6/D1QEDItYp9c3AZBbGRSofUx%20lJ/Kdt1C0dL/AMVczT7psvs8ZpOPk5PH95232+M65x8nS+Mc+xHImlYyekQMo4gpciLPpWCLFTSz%201H22rtzGej0dbTWYmO8ITgHttl8HyrI5DIyEuxGVqTjCltKFOpWNXHCPK9vuqnp4sUtMvQe5e+W5%20GiuuPX8zpVXHnSg18jj4mRgPwJiO5FkoLbyAbEpULGx8DUTETGJZ69lqWi1ekw5lmeDxOG+1GeZS%208qZIcWl9+WvVwoCxtRc62SB0qtbVFNcu3q59+Ty6TP0dE41LbmccxUpsFKHYjO0K66NgVYpOaw5H%20KpNdton/AFT+9I1k0Krk8nPj+4+GxzbxEGdEkrkMHVJUykFCh5da02tP3Ij0dLTqrPEvaY/FW1cT%209Vqrc5pQVLmXIZOJ5FxaOl8MQ8jKLMvcNFC+gv4Vp22xNXR4WiNmvb0zNa5hbj1rc5z5QKDVyzc1%20zGSkQV7JpbV9Oofv+FY3iZicd27j3pXZWbxmuesPyzl181axs2cw1MbxbM9z9Wacv/2n07twBNwB%20bWuPOu/jOX0bXzONG2njjy8en0dC9iJ+WymblT2WFtYZMcNPuH5FPA3AHx6Vu4NbeUz6Ob/de/VO%20qtP/APTOf0O3V1HhSgUH0EggjqOlBGdvj2AakybMY9ElfelLFklbmvqUBqTrURER2Z32WtjynOOy%20Al8+dk3RgIJkj/52R+Wx9qbblH7xUsENJiZHJOdzMz3JIP8A8K0S0wPgUJNl/eKDaYYYjthphtLL%20Y6IQAkfsFB7oFAoIqfxbj2QlKlzISHJS07VP9F287+fxrXbVWZzMLmn3DfrrFaWmKwiAc5xgrU6V%205TBjXf8A40dINgCPxD7604tr+df3Oj56ObiJxr3fH0t9fgs0OYxNiNSo5KmHkhbaiLEg/CrFbRMZ%20hxt2m2u80t+armHuFnuXYzk4iQ5bjUOSlLscoRcA3ttNvAW1rn8m+yt+kvY+x8bibuNnZWPKvSfi%206NhMkxPxrDqH0Pu7B3inT1gWVp4a1e1Xi0PK83i207JiYxGen0b+24IPQix+w6VsVHKXOBclhcsV%20kIrK5OLiv/URWy4QSAb7UiubPGvF/KOz22v3vj34satk4vavjPTt83RcLn8fl2t8de15Gj8ZWjja%20vIg1e17Yt9XleXwb6J69aT2tHaVx9q1XiZZH7ku37UA1sU15oFAoOTf8SbCn+ERGxfb+oxFO7TY9%20pLyC5Y/2L1Eph+fIeNiwmpS4cx+LDLzq0JuDZKnCQBceN+nnUDWawjcvPfVTnX3FCOXIqFqG9shQ%20Tu0A+brYjSpEph4jR5XglRnXe21kG+6tSgpLiyFekaeHjSB+q/csA8EzQULpMchQOoIuLiphCkGQ%20xiHnorbn+TiN97EMrse6ANYuo1KdLAedI75EXiOKRYE3NxWpaosnMNpnZOUgfkqL10utuN+KGkJB%20ukjr1pjA08JknMrhZLmZSWM/j/yYqnWyhlbMRReu3u+V11B22Nza1CUNNcXPy03KYnKBOMejLkce%20wQAeQ6pLZQ+O2bq7ndSvW/TwpMmXP8j7kypeKREdyCm3V/5dp4OIgOwSDd/Y0sFTibBSb+dBBZXm%20MOKyjFPoi5B2QpsRXHmXkIaYQLodB7m1brpCVFQ8zQjopvJ5HHl5KSW5bkqRJSVyH32loDD5N3G2%202yb/ADaA3oKxKnzJYbEl0uBoWbvbQHwFBr0CgUEnF45mJEUS0xliIVBHeKSASfLzoLVB9v5Iejv5%20RbWNjR0CRvWCC80lXzanQk+mgvEzHcLTsyGeknDtzE/5QNslxUhJIKBIUPSlKUfKba0S6Vg8dOaa%20E3E8pxKONOsMtfoqkgvvMITZZKAsL3KNjakQiYasbi8blzWShJkwnoUae/8ApuDxzC0uKcBFlyCh%20e5lH7m/40JS3HfbDm7efkwstl4clTMGORi0sWbLSlLDaA8oq9SLHXxpiTu3JyOEY7kuKxn+lXETE%20uOjLNxUKlpXvQA2XHmxbcVdBTI3eW4TmjGMXN44gYERF7o8eY+mU2lb1mwlKE7FtlYIFlKNqJmW7%20g2vcnD4aPj+RzE/QIQVmXg46lvIKyXVh0EuhIFzdVrWoI3LPe2uf2w/15WVyEhKm1zZLzTTcdBO1%20XcslNjboKIbOM9tPayEI6eNzoKssw2llKXZYeTL2J/xUJWFX0voaDceh8cSy9j84/Nxsx9taGx9S%20hyK7cXAQ8Ebf7vUUPqreEw3tHxbA44tKlqzL7CHX48FZfdStQuSsWXs++iJVzkczJ5+V+nRJc/EY%209Sd8xtuQlx4NDwcUE2BX4C1MJRLuSVjF7Eo/U5bhCG5rV1vbhoC+n1dPG1qEvU9/HRMUzITIDsVu%20WyuU7cbu6paRtc/dufSL0G7HZyb5fcYbW29JUVvT1oUU9u/obZIsFWFtRQEsJg5ULUFtoTCWp15w%20ArUe6BdRI9XkLUQ9tIckKRKlJKW0+qJEJ+W/+I4P3j4DwolhQ+hmdknnhe4jBG3VS1lKrIAoMrUJ%20a30SZQKpYN2ow/lteVh4q+NDLBFkBlmYCguSHJr3YYSRuWdqNT5JHnQZ+26w2/Ok7Vy2mVqCUfy2%200oSVbEfE+JqEMMWQiJj4kUXflqQVsxwD0cUVbnD+FIKvvqU4eci0trEylLX3pLqmO88dP8ZFkoHg%20kdKENyU+626YzI3TFC+1XytIP43P9goQ1ZMdLKYDaNzilTUF10n1rWULufv8qIy2Hn3lvKiw3Nrq%20R/mJHgz8E+a/6qJYy0hGTxrDCCEIakhI6qJsi5NvGg+qcVLJaZcKYo0ffToXLdWmz5fvGiXVfYVp%20tprkDTSEtNJmgJbTfT8pHiTrRC4+4yh/pop19cqKnT4yEUSsrSdrSEjoEgeXQUQ0ORY6VksJMgRX%20xGkSWy22+pO8Jv47QRfSgqrnt/nCnC9rKsoXioC4C1lgkubwgbx6vTbZU5GbifA8rhcvGmyck3Ja%20jY9vHhpDRbKu1YBZO4/1VAutAoFAoFBzzk8TnEDlLUnCoelYqUQuQ2HCe2sHX0nonXpXE5vH3xs8%20tUzj4Zed9x4vJjb56ZnHwy4Czcc4yt9CVKB+3qa7My9HXOIynqxZPD38pf2Gg7/7fMsyfb3DMvoS%204y5CQhxtQulSSmxBBrZLGJmJzCEVwnL8Tcfl8PeUccsFTmBV6kdxXVbKr+n+zaufyNW2kZ0/qbPd%20vcuRu0YrWttsdrT3x/Fy3Ocmm5rMOPIkPxZrH5cto6J3J0sU361y9HCvyZ8tsfp9XkNXtO/kW8uT%20Xx+frP6Pg1LXUpZJUtRupR1J++u/p01118ax0ek4/Hppr40jEMb8dp9IS4NUm6FDRSSOhSfA1tbl%20v4x7mZDFFEPkBVMx3RGRH81pI6BwfiH8V6DqUOZEmxm5UR5L8d0BTbqDcEGgzUCgoPvYMoeDyvpt%20xgEgZINp3OJa0spI8detVuVFvHo7fsNtMb4+5HX+Wfm3faV3KPcHgOTgpLZSEwkLTtX2U+lJUPDd%20a9TxvLw6tfvc6v8AkT9uPr9Vxqw5ClZtaP8A7s8aG4X+im3F/wDq01ov/wCSv0l1uPE/8Lb/ALq/%20vXWt7klBzP3kH/fPCv8AxEf11V5Pev1d32X8u3/Y6arr+z+qrTgw+USUCgg+aNttcK5B2kJRvgyV%20L2i1yWzcn41hs/LP0WeJOd1M/wCqFR/4ev8A9uWx4fUL/qrRw/yOr/cn/wAn/tdKq04JQROX5Vgs%20SdkqSDJPyRWvW6r7E/8A8aCty+WclyIUiBHTiYx6SHxvfI/9Hpt/3qCNRho6nhImrXkJY178lXcI%20P8IPy0G4XmQbFxIPSxI61GYZeFsZxL3UsSgUCgUCgUAAAAAWA6AUHktNFxLpQkuo+RZHqH2Giczj%20HogchxfZNXlsI79Dklep5AF2n7fhWnS1/OtF9PXyr0s6fH9ymKfa2x56vh6x84c+yjHuhIzZCUTI%207Lp7nZYdUpKLG6rH06eQqleu6ber0/F2+2109fG3pmY6un4PNwcpESphz/MNDbJYVo4hY6hQroa9%20kWj5vI83hX0W69aT2tHaWLL8Zhz3ky2VmFkkW7c1rrob+tItvH31GzTFuvafiy4fuF9P4fza571n%20st/tA0+1Hzbb7vecTMSC7bbuPZTrbW1bIjEKey0WtMxHjHwdBvUsCgUHMP8AiBQtfEY6UNpdX9Ug%20htRsDYg/CiYfmbj85+RAQ/MjvPrQ++lpLaSUel1Sbk2sop+WowYZlzZc3OKZiMKDaIxRMLnpULrS%20QE3tf42ohKYhU7/VOBYStlLLGQaD7TaVBKAUq22JJuo0T8n6i92Fy2/bjkC4aQuUmIssIPRSwRYH%207alDmaIDvK8XjpOQfks8qguNzY7CtjTbctrVxqLdI3btLhW61Mnb9DByfJz4h4/Okuofw+UcchzJ%20zDTne7C7JdbcbBKt1ifUBYUExNzuIakzAqTFeaysZtqNFWpLaTJCigb0qO8LCAncARpUZPkoeTw/%20D8TN/wBKsvJIxER7MYeVEWXXZMl0KEiM7sKtqUjdt6AeNSOTcoVHfZQ/MkNrnlQSpC0pSpTDrdwt%20hywR+WVBpd763NJMuXzklqW40FKUlo7UblBRAHQXGn7KmRgJKiSTcnUk9agfKDfh4PLTG1ORorji%20EJ3kgH5R1I87UErB4NlX4QlyiICFvJYZRJBQtZURdSUqsbJv1oN/HcMYTCfdmqUidHWXEFtSH2g2%202N35zLd3UhVvmJAoOlYHgbU3HM8gnFuPjYqkBU+I5t7gVY3MVwrWvt36oHhQT4xvFW4OXnfWDPRW%20FpSlGKSpUgIUkHe8yvuqDe7Q2A9VMi04yA/leOLY4s6jHuPxkqkL5K0kL2NpCtseMUtOgXFkr1Fq%20ZFlwcSdMwmPVzpBbhSo7ZYcxjKEw1IIGj5CFuNH4lYFDDZxnF+A43O5x6K4jDtIbiKhzIzwSspAc%209aCsqDltPA0Gnmm/cbvIzsSaiLjFf5SfJkMqblrjD5HFJO2yUblE+mh8loZ+pgYxcV3ihRjlo/PV%20GktvOLKujgAKnR59dKEqNI9znXMpjcFJxkySmPJWpMotqWy+W0bmEuLQLb2VgKKb3IHxp3FnOZhZ%20JSv9QTJv05J3YuDBlNR1Hrd0lKlq+5QoYZZGS4Ywf1WD9LjZERsIWmdGVDjPsi35ZW+Egr8jekx8%20Toj8l7le3MmEWYTLOZkyB6cfHShvao6lK5CQE+k6aHWnVPZzDkzSORh+DIjtwGEJ/wAyzELu1m3h%20dxSyXfs6eVGLSx8VzFYCErD2LrrTfZgPnclx5YOu/RYGmt1Wolnx0NUiH3Zr6nX3julMt3QkO+IX%20f1G320mDDOj6dMxbqAiPBxqSjTVJeWLLN+qiE28aCOzuLi5RuLInNKbZXJZCI6CElxG9NlPAfHUd%20KDfl4nEsBa3lPoaQooQgLNyb6JSB4mg0GsI0rNtvPBxhSYinIzIdC1tKDoG5RN0qNvC1BISUFgbp%20GUmb3f5SE9re4q/qCRs86YJaUHFTBmsjLlZOUZe2OEhPa/LbUlXoPo27h50G68w8ylCf1Ga5Id0a%20YSWt6rfi+TRI8zQaWExEllM917KSly3ZjiZDiC0BYJToLoPn4UGXKjMtwpTEbINuSDGcs0tpQ2th%20JJU6fA+XnQe8VAy0fHsNoyja1rQnuOqZUVrKh4n4dBaiJlqZ4ZxzGyI0XJNKUFNfUu9pQDY7iUja%20f36JlJMY7JR0BpnJIOt1rU0tTi1WsVKNBHZJeedVEYhvRnQ1LQhOSUlQG/Yr0AXF7C4vQSLKM021%202mWYKGW7klQX/eUo76GUVIe5BOy8BLSYrENLUgrkALHfTZO5CAVX18FUSlv++kNhIbx7TDYsncFh%20CU/E79KIy6l/w+SH5EXkTr6UIUchZPbCkpUkMt+obiTQXH3HP/dERP706IPh/PRQWugUCgUCgUCg%20UCgpPuDg+VZuM7Hxh+nEZIdiOod2KcdHRKtNBXN5ujdsnFZxWP2uR7jx9+6cUnxrH65fnGHLnSOU%20OmcjtykJU26j+JN7msuDx/ta+szMy3+1cT7OrrM2tbvlYauOm8ufy1fYaDv3tkb8DwvwjIFbGCz0%20H5655xuBgubS0wyvZkEfVOJWb2WSAbfCsa0ivZv38i23Hl/LGENWTQUHpDTrlw2grsLmwvpWF9la%20fmnDXs20p+aYjLNg8xl+PSlScQ5ZtZ3SYDmrTv2fuq+NZtjrPFOcYjkSO20TGySBd/HuH1p+Kem5%20PxoLDQfFoQtBQtIUhQspJ1BB86ES+hKUo2pASlKSEgaAADSgq/tzmMhlcLMkz3S881kpkdCj4NtO%20lKE/cK1abTMTn4y6HuWqtL1isY/BWf2KPyng/JX/AHSgSIe79PlBThyet2Bp3W/ttbbVXZxpnZn4%20u7xPe6V4c1mI8qxjHx+br6U7UpTe+0BO49TYWv8AfV95KZyr0HmcaVzfI8TEdSZOPYRJMi90qSsJ%200tbT561Rszear1+FNePXdn804w597543JxZEPONx3ZuPStBcLZN4q0aBzQH0m9VOZqnPlD0H9uc7%20XFZ1WiPL4/F1HjJUrj2OWqQqUXGEr+ocFlKv4kVd1/lh5vmz/Wv0iOvaElWaqUHxxYbbU4q5SgFR%20AFzYeQpKaxmcOOc29w8zPx2WiwUhqE9HdZSyU3WoFJB+81ytnLtM4js99w/7d066Ra/4tkdVW9re%20T8hwGBS00tSWt5JivD0/aB4E1p18i1Ozocz2jRycTePxY7w66j3JgOwmlRoj0vIrT+ZGbSQhCv4n%20Ndo+6uvq2edYl885/Enj7ra564RkzIcoyp/zcz9Oiq6xIZssjyU74/7tbFNjhYyBCB+mZShSvnc6%20qUfMk0G1QKDmHNfbzPZHkipuM2mE/tW6nudspcGqlDrrXP5HFta+avY+0e/atPH+3s6zHy9F2wXI%20I03/ACLyVRMkwkByG/o4QNNwv1Bq1r2xPSelnA5nAtSPuUnz1T6x6fKfgma3OaUEXydGTVgJv6W6%20pqehsrYUgXUVJ/CPtrXtz4zjut8CaRur9yImmeuVG4LyXOx5e/lMqS0xMIaiiSg7C4DqUrNrdRVL%20j7b1n8ecS9P7v7fo2VxxYr516zifT+LdyvuqrH51eJXilKcbcShS+5a6VWsoDbr1rZfmeNsYVeL/%20AG5G7T9yNnXHbHw/Sv6FBSErGgWkKAPkRerrzExiZj4PtEFAoFzQQuY41Fmu/Ww3PossgEtSWzYK%20V5OJ/EK1bNUW69pdDie4X0x4zHlrnvWf4N/FIyaIDScm4h2aB+atobUk/DU1nSJx17q3Jtrm8zri%20Yp6RL5iuRZTDMZYQnYkZDkpJckyl6gloAJQ3puP31q37JrjGIdD2rh690z5Ra0x6R/GfRv8AGZ/N%20pwkLxaJD8mUq0jLZFJaYbCdLMMG9/wDerRrm89v1z/k6nMrxaYjZ44r2pTrP/db/AKOnwGpbUNlu%20W8JElCQHnkp2BSvEhN1W/bV2sTjq8xttWbTNYxX0hnqWtyr/AIi3XWuGRVNC5+uYCzcJ2oLiQtQJ%208k3NJhMPz+w6AwqPDeQ3G7jn+Z3BKQkrJsnWxWrxtUGGpKyEWJk0xY6wp9cUpb2HukXcSSpRRu9R%20+NBI4iQ41yHj7DURSI6si2p995SSsDaq7iwk6XPS9Igfqr3JF+DZix/wLi39oVKIUmc4yMmtt9r8%20me8T4pWxMAHbW0RYp7pOvhpTsR8VaiTMpB9w3sLMZXm8M9jnJ42JS24yZIU2tuyglO6zWu3pTHQ6%20ovNp4/ynLK49nGlYrNcab+sxT3oDsgq+VLqm/wAtCvSE+uxpnJ+5l5LkpgzWNTiWYc+W/i3BAzMZ%20AvFUyVqk/VhPpVuQlTeg+NDLgHJE4xiIuU02FsyN/ecfXuupTpK0Rwk+kbrqFBz18sF5fY3dq/o7%20lt1vjbSgx0EthOM5LM9wRO0ntoUsF5xDSVbeoCllKb6+dBccLxgphQ21LfhSZrd2Hm+5KUpSfm2J%20j707F30uPtoS6LH4ZztjIQ2UGVGkylMSncq+mN2EgKsltbclJLR9Pp0A110oSueJ4PytrKOO5FrF%20P8eykhPdmutOoU5IFghpRa2ehSwOnpNCYTrnthnYednQ+L5JiM/IZ35WElouRY4I0RH7wXtW6LJ1%20OgN/jQecxw557CRYuOzCMblnVJhJDMdtl9sg73g96BdIQlRClaHQ0wYZMpxzHRojcXlOXRzHGMN2%20aQ261HkpSgWSpTkctKO0abQdaDS4ixxvIYY4zGw3mlOuulqVlpEhiOGFK9G1ta0dywt8oNMiSwns%203g8LzF8NyZv1C4YkxpBUHUhf+Mlht4LRtuU6KTpQnusOSlTIq1Q4HIZOVfWkh+CWmZBt0spxttTS%20B8FGhP1QmMge570x3B5CVEaxsFpuYqKpS++8w8tSUsuPNkJGqD0I60FkyEubFwi2Mnxsw8Y0Atl9%20iQxZpxOqXdxXe/Tr1oTCkwP+ISG/F7EfHvu5aPuS+/JbIhbEqKUulxAF76DQ9afIVzkHIspzCSYm%20RmNTWG/zHYjSEfTx0K6WSR3FKN9Cb0OiDgY6I1iI+NhwkdwyJLTY1QploOklxak26WsL0+YyvPwM%20PFcQuW25jglSnVKWFyEqPVQUk2USfA3NBr4LJwnoMGVKLkdxuN24bbra0JS2epKlAAqXp+zSgyZP%20kGGxBeyq5rRjrG2Q1Y3W7/hqSPHX5rUHnGS8cqHHelSUouS+3GVqS4r/ABHLaXtawoZfc7nMKzFj%20vOy0qSmW16U33KO9OiR1OtDDbROx65JkyZbZfKiI6PwsoUdPgVG+pPSh9GOVNhRs2yFPNOPOw1hl%20lDiLrV3h1UTYAUMNthMdClOvy4zstfzOd1uyE+CGwToB59TQaaZrDOXnstPMOTnEx1ISp1OwJ2qu%20tZvawpJ3bkZiKyvd9a0/IVop9bzd9fwpsRZNBqQHpB+tYx6Evv8A1rpW7cdpq6UWVu+VR+ANBtOQ%20yzj5wSFKdcjPFx1fzLOw6n/ytQY4zzr0VmPDP5nbQHpSQShsbRog9FqPTS9qHq+ZKL2sK+00gpTu%20ZJBGqj3k3Kj53oerO8HpS1x4+4RwrbIko/GfFts/1mgxz45SMc2lvtNJloCOoSlIbX/5Xpgfe2uf%20psUMck6CxCpBHj5hsf00kn4EoKRlIK3rttJZk62ASkWR0H+wUMPhYVL2uy2SiJ1jRV3G7/rHLf0C%20g6x7EklPISf/AJ0D4j8pGmmlD5rN7jArjYpkdVz2CB57XEq/2UMeq30CgUCgUCgUCgUA2sb9PGg/%20Jk/Efp/N5i1JDGPU+6iOq9yq4v6U9SLnrXJ5HuWrVGK/imPSHG5PvOnRXFPxzX0j/NIEWNtR4C4s%20f2Vc07vOnnPT9Lp8fkfc1xe0eP6c4/S8vrbZeVGfUEOlBUhKfUTpqCB0qlf3OPOK0r55c3Z71X7k%20U1VnZn1h3f2ofS9wLFEG+xoIJ+Irruwt1BxH3fFuax/4oRP/ALQCgp9B8oNtpnMNxzIgzW2kJN1s%20khQI8fsNeZ51+Pt2x+KYn1n0eO9y2cTfuiPKaz6z6NS6iSpSipSjck/HWu/x6VrSIrOYep4mutNc%20RWZtX4y8OMha0OJUpp9s7mn2ztWkjxBresL1xf3SdjlEHlBGzo3lkCyPgHh4H+LpQdKacbdaQ60s%20ONODc24k3SoHxBFB6/Cr+yr+o0HOvZjKokQs/AugGJlpSmwD6lJddUSbeQtVbj2zmPm7XvOmazrt%20/qpH7IdFqy4pQc1wzDzfv7n3FoKW38W0plRFgoJ7SSR52NVa/wDmn6O7umJ9tp8tn+a289/+h87/%20APk1/wBYrdt/JLm8D/5FP9zNw/8A+k8P/wDlUf7anV+WEc7/AM9/9yXrNVKDWyGTx2NZ70+S3Gb8%20C6oJv8AD1oPzz7iysnAyMnNcfjOS+PqJW932lIU2s+Kb2u38a5vI42J8oe19n98m9Y1X/NHb5ofh%20OS5Fy7JBqO0zFgxiFzHiCfTf5Ui41NatPH85+Toe5e7/APH15/mns7Q0020gNtJCUJFgALdK60RE%20RiHz3Zste02tOZl6qWBQKBQfQCegoZRmY4/jsslKpCS3JbsWZbR2uoI1FjWvZri3db4vN2aJzSen%20rE9pZ8XGmxoSGZkj6p9FwX7bbi+l/jappWYjEzlhyttNl5tSvjE+jbrNXKDDLhxZkdceU0l1hwFK%20kKGlj/VUTET0lnr2WpPlWcTCmL9t46M+3K2NzMYUlvtPE91gWNihVxfXppVT/iRFs+j0P/397aJp%20MzXZHWLR6/VIWzXGl2QlzKYLSx+aSyANdB8yfurPFtfbrX9qt56eZ+fGvd8f5bfVY4UxibEalx1b%20mXkhaFfA1vraLRmHJ3aba7zS3erNWTUUCg5JnuDcrHK35sIOu49LpksqDoBGt9oHn8K5m3j388w9%20vwfeeNHGjXsx5Y8Z6OlYbOwcohSWipuSzZD8V0bXUEAXuk61f17Yt9XleZwb6ev5qT2tHZYvbzCY%20qXlcrOlRkPSoz6EsOLF9oLYJsOnjWU0iZzLRTkXrWa1nFZ7ukBKUiyQAPIVk0lAoOR/8TW8e3qVp%20UAlqUy86CL3baWFrA+1INRhMQ/P0VnEs4yNIYibxLKlRmVKUQVOKKx6CbCwOtqg6DEaPi8i8tCEm%20S9GKihNhvc7iQAg9QEj+ipSTZcSJFcW8+XJjjjRfcbCjYpWCEJKRayU36UyjL9T8/fTk/abJv41/%20amXjwuJIIOm8ApVY61KFOYjZl3GDGryCPr3EpjzUzmwCzJA0cStlJXuH4dbUgj5ovEZp2Hgsfl+U%20uJYyyJn1M2akFLT0BwhtyyxoLJbPo/ooN2Bg2H89EzJbQjK5Zt2SVvJCu6WwT2XEqB6spTY+F6Dn%20b+chwkxszxySYKs9kVR38IUDsw1Nr7cgOOLFw062gm1+qtKEy5VztjDMvSmVMrRGS66VJSQntLU8%20bKZSogqbIN6Dm0hLKXlJZXvbB9KyLXFB5QkrUEp6qNh4UHS+F42OtlKFL+ldWtEKZIWhDzLCbH/M%20AELSRp6r/C1B03jM3ItufoE1Et6QhtcbGvwI7EdEcq0kBxxxLakFI2EXNCVsmcbkIQ/gp2BzGZac%20/wA5NyEqXZz6cDRlX07u23pPx10oTlJz4mQewO/B52Hh4DCUIbxDrq5LoUkjYG0u9xW7cfST40Oi%20c4ZgeStQlYzkeek/rSj9Q43GQ2lT6VfItLhAK9qLJIv1HlSYMsLntzjsvyyTl48uQmTiUpY+tcdW%20WpbqkhZS8Ado2Ju2SB/TTBgyfNeFxJDGDbixYEx6/wCquNNNvCOlPpshdlpu7+HXQeVMELEW8jk8%20dHiQeOstwIzSUx3cktDobSkWSUGOpxZ0oTiVQyHt3nP9TYb/AP26ZCivtSkKjxx3GkOXbuy26+C9%20+b8TfTSifVZljK8WxhDeQxLGPt635qHGZLpHmllIK/6TU5x3RE+qhve7HIZXKC7AwrcAKhqbVOkr%203MyG2tykLCLladqiSNyR8ajGBXcnkcjyJ5Zmz5EptWkh9alNMqA1DTTCNqCL/iKaZGuuQY0zIJZQ%20NqWGWo0QJugq3JKfR0IB9SqQPH0UZR+mYZQ9MPqkzkKLTSXFeogqaIKtp0SNRQy1cJhMc1inXpTr%20zzq33y/JcdWg+lwiwCCL38qGG6iLGcbW+qI2zGSgrjx1ICiFAaOOXB/ZQZYshtGDx7so9xCYzQCF%20DeVK1slKVXuaDTzENLuKlvzYzCnUt3Ya7aCGOuug1XT5iUmyGGVhSmWnHHNqWmA03uWrYNBp08ya%20jAjnoYOSxT01DD7yXHw2kNNhtr8omwCUjcR+8aDdlvstAI+lbfecBswhtsK2n8SiQLJv9/lUiNZw%202NbzoecjNOSXYSt67elP5qQEtjwt0+NBsvRsW26mMxEYdnmwDZTo2P31qtb7qHVr43CYlnIZRKIy%20HXHDHU66pNytRSq9vJPwFBsOQ4CnTFiRWO/YF6QUizQ8dLWKvhQa2IwWHQzKZZYXsE11CR33UXIS%20g6gKA8aDxkcTAlQZzLCXW2m2Hu9KS+8TdKCdiLqsfjQ+TagYTENwYzTTK0NNtJISJDqQPTuUr5hq%20aCPy2Jx0vGPLbQ83EbW0rud97c8oupBFirRFv6aCVVioLCCGZD8CKgkltCypCb+N1km5pkyiMlhl%20zTj1SJ0pGPMtA+nJs456FEKUR8oPgB99DKVfgsstqecyEtDSRtTbb0/dQkan7BTJmUa7hhJzWNfk%20TZYjBp5caOojcCkJ9ax/F5GhMpN1gxUKkjJPpUDa60ocJB/ChJBufuoOp/8AD4MimNyEZBwOSVT9%202gCSElpFgraAL/ZQx6rhzsJVLwDavxzgQB19Kb06i20CgUCgUCgUCgUCg/J3LJK/9fScdGZbZfbl%20OlcolSlWCAohAJKR+yuPyPbZ2ZiZxHwhw+T7PbdmJtEVme0R6f5t0gqHrO4nqT410NemtKRSOzs6%20uPSmuNcR+GIeQwyHO7tHctt3nU2qa6q1nMQmmilZzEREuw+yGQQ5xmRjlKHegyVgIHg0u3bv+w1u%20hlLotSOM+78SQ7zSD2W1LvAUSQNBZ3xNa9u6lIzacNO7ka9cZvMQpCkrSSFJIINjcdDWUWie0tlb%201t2mJfKyZMBiMl4PWIWBawJsftFVr8PVa0WmsZhU2cDTe8XtWPKGwhC1EJQkqV4AC9b5tFYzPSFm%201q1jM4iH1xtxtRQ4koWOqToaUvFozE5hGvZW9fKs5h57fcBRs3gjVNri3xFTa0V7zhNrxWMzOG/x%203k+b407/AJFX1WNUSp/HOG/3tKPyn7dKlk6riORYfleKfbxz/bkrbUl2Mo7XmlEabk6G1/GotGYw%202adnheLd8SpPs3wzN4jI5mVl46Iq2n1sx+1uAeuo73PUVXBtpVPjaJrMzL0Xvfu1d+utKxHXrPy+%20TqlXXmX0C5t50HGGuT55z3m2ob3zUtKgqx4QpALBWF9zerS1kg3rnRfZ93t/+Hsb8XiR7f8AmnH5%20v+5c/d7KysdwjIFhsLakoLDzpBIQlWu6w+zrVnk2mK9HF9j0a9m+POcTHWPnL77S557N8PirLY2R%20B9O26gHavZ4i/wBtOLebU6svfeNr1cifCc+XWfkmsvy3A4olD8juyPCNHBdcv8Uo3FP31YcZXZfK%20eT5H0wWkYmIf8V38yQR5pt6U/wB4UEc1hoiXzJkFcyWr5pEg7if7vyD9lBurQhbamlpCmlDapsi6%20SD4WomJx1hz7N8qx/BJQw+NxCEtPAvtqCgkLuTcm5vVLbv8AtTiI6PT+3+1T7hT7l9k+UdF3xE85%20DGRpxaUyZCAstK6pJ8Kt0t5ViXnuVo+1ttrznxlt1k0FAoFBy3n/ABrkkjPd/FvLXAkAF1tt4I2O%20J+a+46XrncnTab5q9n7J7jopomu2PxR/6c5heePZ6FNYREK1tz46Qh+O/wCl248egv8AdVvVtiek%2093nudwb65nZXFtdu017f9EzW5zSgUCgUCg+IQhCQlCQlI6JAsB9womZme77RBQKBc0ERmONQ8g6J%20bS1QsmgflzWdFfYoG4UPurVs1Rbr2n4r3E9wvp6fm1z3rPZcfatLzbuYaeX3XUut73BpuPaTratk%20RiFTZaLWmYjEfBf6lgUCg5h/xAhauIMpQW0qMgavC7dvHdofCiYfnLHNZNMXvyXYzO0OBDo3KCWg%20s6ti1hpUSNFnGSZWbdyMt1UpMRkIjx1AMntrsveNniU660yQ3I2UxMpQdZu5CaG1lppsglVrFxWg%20Bt4Ugy6zwHm6cr7V8l43KWsTMGwDH7x9aoizdsj+wE2NShb3HO3lhlJHriLKGpy0EKAQB+S+SL6I%20urd50+hPzQYxkPO8Uh8amOBcLJRv86oALDTe9e3bf5XHNQkjWnYnoiOTZnPYLhGJy6gme0y6cal5%20BKZLLck/TL7lrXUhqxTYnXrTJDW9xlSYEvAOnGMNYXNlUN6Iy22884pMfeiWoW2BaTYmx8POg/P/%20ALipbZkOY+aoz5MVRLGQH8xbZ0A2p9AbT8p8d1JHPaBQdR9uIUlhkfR/94SXXIsxnFKsG3+yF91p%202/4UlY08aDrfAI817Ktz5+Veks5pycc6whKXGkx3UthuQhS9bKsq6uotpSBYeNcfy+J5DOX9fOyn%20Hpj62mY31K0OoDKQpSEuJX67pUNoUqgncrwX22yTuKk4yEEZCVKSlSlPuNPBlghx8O7yCLJ3UTl7%205Y7nWWS/wvILyT+EK3Y65bQ7EVFiFJMhQ7jt03TbUUQ+cfRko+IiRecOOx48gqlpRA3iE6qSS9uc%20ebs/8y7FJTb7qGE8rEcdYz+KmRoMJ2Dkm1wXUtNoWgP/ADtqItcr2tnVQpBhizUXh2FSXMhkX8K8%20oEiPGkvLWr+ENIJCB5DSh3cx5N7gczyWYgwsHPMaDEloXHyM+OzvS4b7bIQHAsHxKtaj0GhJTySb%20IErJZCNkJo1EiRvWE28UIUkob+6pMolxGeyGdif5qKmCiO6VOELu/ZJuj5bhI/poiMJVTmXaQVOJ%20iPtISCCFrbS2geGgFEoRDecncjenqjNsRURkp+l7riVqUVW7gUNUhSdPsoJgSMnGZO3GxGmG/wDD%20Q6sXV4BKQNVGhlGYRPIpEMOzIEUxxIfcjQy6sKSouEnvWFtyfC16ZEjOyk+LHdemQAtBBSG4iy4+%20okaelwpBT5mg1MI5kFY2BJl4uSX0MoEdKFNFtCP3hdYO4/Gg+chyr7GGkhWLlKdcQA01ua9SjfU7%20V3CfjTA3G3pyVl+Ri5JmuNpLirtFKEhIshHr0Hn4mmBr5HIS28hjG28ZI+pK3ltoWWr7ezqo7VHR%20PW1BlYyWOjhRWmU4+7q+929VHyH8I6WqU92k/wAhinPhiI0+Xkw1B51TejIU4FBSrfMbdKhDfj5L%20GMNlptqSQq25ZbutxR1JWfG5olHs56NIzGTYiiShoJYRImJbF0FKVAoSP3vjRGUlHyWDZYDaZIjt%20gkqDqXC5fxU4oJNz99BHQsvBfE5hMlDMUzHFLl2dK3ElKfS2An0g+KutBuy8tgm8XKbbmNoaTGdC%20U7XQBdBGpKfGicMEfL4iXFZQqYluE0hAdQpDu51e0aXCfk/rqUdGXL5LGrwstxuU19OyWe4qykBK%20Q6nRIUE308qhOGwXo81aX3XWxD0MeMpYusWuHF6/sFEYYszkIDCYL8iSgtCa3uAUCT+WvpbWhhmQ%20ptbyZUp1sLAP00fen8lPgo2PzmgxSZcc5lgdwOOtMLKEJUCp5ciwCb3/AA7KDbZhOB0SpOxyabgK%203p2NA/hQi9v73WhLqfsSlSUciCuv1+tju/wkeNCe61cxG/P8Wb6lUx0289rClf7KGVroFAoFAoFA%20oFAoFB+TeWp2+72RHlKf/pZTWMphv1iyfF70sOPAAoaF1+oA2+81V5PLpqjr+b4KPM5+vRHXrb4L%20F7d8ni4LlDT3eBxWUCWJLp0SlY/lK18PUb04PKtur5TXxj0a/b+ZfkU85p4R6fN+ggQoAg3B1BFX%20l9xf3kky2OZ45EV5TG+Ct1wp13EO7QDe/hVDl+369/W2YlzOd7Vq5M5tmJU1WVyzm9l4NKZVr3AL%20L++qGv2i9Nma3mK/tczV7Fs17c02TFP2/wCTFXdiOj0tYxGGURpKmy4GldsdVWNav+Rr8vHyjyaf%20+Vq8vDyjyY98lF1RnSy74LAB/rrXy+JXfXFmnncGnJp42ZWX2XnEKy07YuwSVbep+BAtXKtMcGv4%20Ym0z6+ji3mPba4rFr2n1/lfPrchDetjnW3mFK1C062+Bteo2ca3LiNkTNflPb9CN3DvzYjZE2p8p%207fWGM77nf8/U6W612uPr8K48vL5vQcXVNKY8pv8AP/8ABHYl/Wtyce4uPPQbtvtGxv5K8FD7andv%20prjNpxDLfyNemvlecQ6Rx73GWl5vGcpQmFOULNTkn/Lu/addivtsKx0crXtjNJy18bmat8ZpOf3r%200LEAg3BFwRqCPhW9aKDRcxOHayis84y23kAz9OqcshJ7VwraSTbqKjxjOfVs+7bw8M/hznCvcg5h%20x6ZFk4hiMrNfUILT7LY2tbT1u4qyT/dNJjMYY0vNbRaO8KHJ5dBxzCMDkMijDQogDacZDQoek9Ct%20yxV96VVotv10nxl1tXtXL5UTurHlE/OFjx0TGssodhISUOAKS+DvUoHx3m6j+2t8TlybVms4npMN%20upYlAoIzMcawOZU0rKQ0yVM/y1EqSQPtSRWu+qtu8LfG527RExrt457oh+BkuNEScWsysVezuNeW%20kFsWvuaWsi/2E1qmk6+te3wdHXyKcuPDdGNnpeI/fEf5JnCZ/GZqL9RBdCwNHGzotCvEKSda269s%20XjMOfzeDs41/G8fSfika2KZQKDmvuDwrkc7MomYVC3YzyR9S0l7t2WPxC6kjWufyePa1s1eu9j93%200adM03YzE9OmUsxHxWdYYx01T0HkUBNkvKsh4rSPm3JshwftrbHjf8NuloU7Tt40zu0zF9F/TvH0%20mO8LTi2cizES3kH0SJKdC6gFIIHS4NtasUiYjrOXF5OzXe+ddfGvwbdZq5QKCj573Obw+ZcxLuPW%205IbUkBQNkqSqxuLnXrVPby/C3jMPR8D+3v8Ak6fuVvj5Lqw6Ho7TwBSHUJWAdCNwvY1bicxl569f%20G01+EvdSxKBQQGX51xnES1Q8hJLMhFro2LPzagiwrTfkUrOJl0+L7PyN9PPXXNfrCbYkx5DDb7Li%20VsupCm1gixB6VtiYlz767VmYmOsMlSwTftqr/vTOo/61s/8As00F+oNWZlMdDLYlSG2lOrDbSVKA%20KlHoAOprG14ju3atF758YmcNqsmlyb/iVSlXAUoU8lhDkppDi3Pk7alALSSLkFSbgW8aiUw4DjEN%20TIkdDCgcWzubQbi7ikLISNbHam3j40HgLMrITmWjZK1NplHxDbadpAt5kfsod2zCKYb78Rv8mM2O%20/FSDYhBF1j7lEUSwNIT+lGQ9IXFcl71rebJC1pdIVtIGpSq2qelCFzw3ufwlPG1Dk8aZhHlbmUmK%20tSYkxFrI9KSLfxDbUsZhve0+Ux68bL4/B5LAnS4Mpbg+pJZ77SgC0pD20q2g3HwoNSP7t8Cb5byH%20G8jkiFBjlbUKMlIfY7zzYbcdQo+XW9r0MovlHNcTksTjo/HOQRUNwW1yH+veZcUpTIEa4Fu43bcL%20jqTUEOTcyybLTJiNusO4txHbbdaQn6tlxX5zgcVpu7jlz83jU9EudUQyx2Hn30MsJ3urNkJFtT99%20B0j28flR8mw88Uxnwvtl1HztlYsFq/6P+71plMQ7P7d4zMY3J4WMzJZkmLjhh8gh1A+nZU8SG923%20cHQvXVQ8KIiEnExnJGONZnEqzCYEnH5Au4VxDKXG3Vp2qSvcqxCm1aqFulqES2s/wfC52din50qf%20FzhU+jJuJkOFXcajBxKym/qbXp92lBORoSY2Dcxj2Ul4ta2HGm33FGRCkjYTtaQ4QltX3CkTIxx+%20QOYXjMBM7mD78hxrY1jWYjTrqkpJSE6r22sLamhj4uV8rk8nlzS5AyrmFiMFK5KYbaWXCpSwEH8s%20gJd2q1sfOh6tyW3l405bMZ9ORnLJ78t8Xl9sdXFOG53fup3Un4gVxt2KMZSkx2pIKw/6XEn8Rc63%20JoMoQ7NI3tFjGkelNyHXx/Gn8KD9utEvkhxDGZivPKDbKIru5QGgG0jRI/qFETL2hpcwoffbKYyR%20ePHI1Wb6Ouf7E0Hht603KTnSQhJbjFHUk7UrBA+PSgyx2HVvomSEWcR/2ePa/a0sVK81n+ig1oD6%20WMYFLClOOSZIZbSLqWvunShhsNsrbS5IcKVTXEKBKflbSR8rZ8PiaQMEN4tYzGNNoDktyO322j00%20vqv+EUHjJRkMYeWvRyWtBDskgBRv+FP7qfgKDdlvuGR9LFAMpSUlalC6GmygetX8XkKYGouOhmfi%20whSnH1vPFySf5q1dmw+xPwvQbbk+W46uNDUpS06Pyifymje9gfxK/wBtDDC1vazTTbK16w3Lq3Hc%20pXdBKlmh1ZTNkSlKYivqSymwkywT/wCrb/i8z4UwYeIClt5HItslTaQmNtSFHptVqT4n4mgFwzlK%20sSYF9rrn4pCh+FJ8EDxPjTJOHnGdtMeaSENNNzHrmwCUoCEf1UMMctInQZbrzVoAjPFmOoC7tkGy%201j92/QUydGyy+01j2HnSlLKWUAG17i2iQPE30FMCNzePanY1cnIR0qLamTFiKAIbSXU+py/VR8qZ%20G/LZxLCS47AjqJO1DaWUFa1E6BIt/wCQpg7o+biIpfx78uFGVJTMSGm22kBttJQolJ09R+NMmW7J%20RiY5SVY1h11y/babYQVKPiT5D40wYasfFRE5t4vxmC65EQp3tpDYbCb6NqA0+3xoPLjGG2uKixN6%20WNXpanFdu/gEaetfwOlMHZ1b/hsxox2Lz7BWtTi55dWHFFak7mkWTc/ChPde+UJC+WcUTa5TIkrH%20w/y6hTJ1WqgUCgUCgUCgUCg5b7hc75DxbkiGykjGTmwGHAEqspHzbQf7QveuB7nyd+m+az+GYeY9%2045nI0bM0nFZj9zjfJpH1HujMkmwLr61kD4sJrs6rzekWn1h6Pi3m+utp9YSdZN7ypptQUFJuFfMD%2042rGddZnMw121UmczETLyqOwWCwUDskbdnQWrKtcRiGdaxEYjs6VwH3POOYbxXKHNjCbJg5Mi4Un%20oEObbm486wrydcz4xaMq0crVNvGLRNvg0PeGREk8nxUiO828hUFYCkKChYu38DW9vU3ao9ATQy1v%201CCVrb76e42bLSOqT5Ggyxp8hT/YbyaQysfyFqSBY6fMquByfb9NL+U+WO/T/N5jme1cemzznyx3%20xH+fdtOJxQQUMz0PSkmymUnd+y1Z6PeIm3jNJiv+O7Pje/RNvGaWinp/1YXo6h6Xm/jZQv8A112a%202reOmLQ9BW9NkdMWgQ/LjHuRdhWLWQ4kFOn3GqnO4tt1MVt4qXuPCtvpitprj9Q5JlynS/JCUrUN%20UI6A1jwOLs1Vxa2fkw9s4e3RTF7+Xy+Dy4jegp3KRfxQopP7RVvdoptr42jMLvI42vdXxvGYeOzv%20a7L6lSU+Tnq/o1rTxuFq0dax1+LRxPbtPG60jrPrKd4zzbMcbs04V5HDAkrjrVufaH/VqUdR8Cat%20ry7P8/mTm0/oEHc2sXE2UdrYv+6EEqJH2UEQ/Alz3e9mZrs1fgyD22R8NiNoV/eFBso+kjo7SC0w%20gf4YKUAfdpUZhlFLT2iZ/Qp/NPb1HJMlEyMWS3HWlOyS4QF70Dpt0KSevWqu/jfcmJy73tPvc8Ol%20qTWZ+Hyn5tjH5abxtprHZ5sCEj0RsoyLM28EqSNUn7rVNbzr6W/L8WO7j6+bM7NM42z3pPr84la2%203G3W0uNqC21gKSpJuCDVmJz1cO9JrMxMYmHqpYlAoIvk2IOXwUuAlWx1xH5Kx1Ssagj+qte2nlWY%20W+Byfsbq3+Eue8Kw+d4i67lczAcLL6Sh51pe4tgficTfX7qo6NdtX4pjo9X7rzNHPiNVLxFo6xnt%20PydRiy4sthL8V1LzKvlWg3FdGtotGYeN3ab67eN4xLLUtZQKCOzWBgZdpKZAUh9q5jyWyUuNqPiF%20CxP2Vhs1xaOq1xeZs0WzSfrHpLNi4syLESzLlGY8nTvqSEkjwFk2FKVmIxM5Y8nbXZfyrXwj4Nus%201coFBEZfiXH8vMamZCL3ZLKdqHApSCB/dIrVfTW05mF7je5b9NJpS2Kyi9uf406pSd+VwP4WxrIj%20g9SSfnSPtJrVi2vt1qvfc0cyMXxr3f6v5bfo9Fix+QiZCIiXEWXGF/KogpNx10UAasUvFozDk8jj%20303ml/zNmsmkoKpyr29x3IspGyD762FsJ2uBAB3jw6+VV93GjZMTLs+3e9bOJrtSsZz2+Sjcq4xy%20LCyW3BIkO4tvbtdYUQL+A2AgA/daqO7Rek5iZ8XqfbfdOPyazW1a12z8fX9LoWM5JEz2GeThpQRk%20mmfkWAVpWkabh0N/hV7XujZX8M/ieU5ftt+LtidtfLV5enZSeEe6/LcZyd91+QyWVr2T4ziAneW/%20TdKgnRVk9L1Qjl7Kz16w9df+3+HtpikeNpjMdXS2/djlvMcgcPw+CmMVJUpye8CQhCSEk3sU318K%203Ryb7JxSMOZb2Xi8Ov3ORbz/APTC4cQ9t28dtnZ9/wDVs0HC4JK1rW2i/TYhfpBHnarGrjxXrbrZ%20x/cPeLbZ8dUfb1fCOn68LtVlxXP/AHy405nPb+Z2RukY1SJ7SD8p+mWHTceOielB+XMcrGTcZHyB%20iJU/MdWENDT1lRKgU+A6qrFLLh8WGozzjUhxlx59ZKm/kJQSmxbvbTwPlUjXz6s1aNHi9mXMW4En%20b+WrtKBUpBtf5iAaEpBmTEZUuS+sJyLDRuHk7O2gD5UDUBNMCBXNdei4h5mIqXHbdAbQ6n8lJJ9T%20ihruKaIROVhREPynm8cBd5w9++1aVISFKSVC5FwfSmplKjy8LKZkuNKIS4gguIWbKTv1Tfr1vUei%20MS8/oWRLqmEoCpCU7ywDddvs+zX7KmRrOolNNBpzclsnfs8Nw9N/toMFB9BsbjwoOwcNy2BOKhcg%20yEdUcMyo8GeplIcQpBCgZLifTqkjRPjfrU5MQ7LxXCZ6NhMxux7kLLXKZEmMrbEMdAuw4qOLJCtV%20a3qENXCNc35Pwqbg5DEaFyfGzfr90p5Tckr9Oy7YQr8t3YAfV0omU/kYnIshleLZtrINqfcRIakC%20EwGlqaQ0UuJ0V6ykhW0Ggk1wcbJQ4xIclZCA+hw9p99RYcKUm29kgp3IUOl/CnU9HKImMRBhtNYp%2056LNmuvIFz3UbUuKNyCRYBI0ofNhzb8+Fi1wYiY059DjatzZ7R3qUPU6kAgXve96CUEXNMpeS8/F%20jrK1OTHUj6gFRN1HcoIsEnRNIERNwqMjlsTOmy33WA+ERUXLS1/9Yogq/uimCUs9EiNNrfekzUto%201Wr6ldzbwAtqfIUQ0E4h5XIYkhUuRHc+ncVHZcUXy0kJJvrt9ZomZbz7MhgJcVlpCnFH0Nhv1OLO%20lk+ry60yZR+Lws76/JS5uUdXMRISlKg2ChALSSNo3fMAbE0yZb7zE9tSUIyz7kqRftN7NTbTer1f%20KKlOWng8dkGYYljKLcnh19s72gWLByx2J3aBXU1CGxMezyEOx478aVNU2opZEZIQkW+Z1d/R+w0M%20yx4SHmmMREV9ew864wgrdXGSVka7Ug7vlTQli5CrkIxkmNHlxVSSgF09hKQ0jXcdwJ9XkKCQbh5p%20jayiYwoqCVLcMZJU4spGq/VqaCOyL/IHspj40VEVIbddD8pLxCQe1q2PT6VFPl0odEk0jLoQhhmL%20DQ0m5Qjvq69VKJ2dfM0IlFqezk3NpS2zGTBbirDjgfUPqPzQChtWzolXWhOEon9XbbATHgssMg2S%20HylCR9myh0RcZ3LS8jkO7AWYhRHPZjr0eSEqsVLsDtV5WoJRzIT2mS67iFpZaHg5YBPglItrQiEb%20jHcpJMtcjDr+jTNWtmPv9RWUp/m6aW8qDayuUmMY2Y9Lxq2kKadb3qcOl0WAGmtCMPEORK7cd/JY%2095BQ2kw2GB3kAFIG9d9nrNBj5BmYrWId3xJhccW2GULaA3qQsLUkHcddoNBtM5BKnEzZESaZLqBt%20sykpabULhCPV+1VCcNDkHIokNGOJiTFOKloUhpTQTuslQvcKPS9BKNJyqFLKIiQ+9dTsqS52+4nw%20CbBW1I8qCKQ3nMjyB1Rlstw0x0pTGS2AJITf0l29wj+K1CW73pch5tpcD/uyGtK7wj3GlPJN0hKV%20bAUp8ajsOs/8P2RhzY/IJEd4OtuzzsXbbuKWkA2B8qymMCJ9yeecwxfvnxPj0KPHchyk95la0+va%20ve296vgkGoHc6BQKBQKBQKBQKDkvvImK7K2ha0utx1F8lAWhLZ8UFX8tXmU1533q2LViO7yn9wXx%20esRGZn9WHGpGRZkZiC+5HLct+6i7bRQtsBKj4m1Z+0fdnM2tmkdIhv8A7f8Av2za9s646RCcPWu2%209OUH1txbboWkJULEFKhcXPQ/dWjfqteIiLeKrytF9kRFbTT44azEZxLSkSHC+CT6VfKAfAJ6VX4n%20t+vTM272n1VOB7Tq49pv+a8+rSm8fjllctl1cfs2KildwBfUBJPStnK51NMdetvg2c73HXx469b+%20lWOPiZ0h/fCnOSWQi4HcU2Ndb6dKq8f3GNtZm9fCsftc/ie7V3VtbZT7dI9c95aLOGyMGeMniDHe%20U5dUth1RdDh+O4HWrHF9wjfMxWtox6rnA90rybTFaWiI9Z7JiRyGO+dsjiCHUG2iUpKrirsziOsu%20pNoiOvYh8uwkN7exxV9h9P4kIb3D/lVo2a9e6vjn9Spu1ad9fCZ6fKW6MzH5JOYfU9IwyIps6zIb%20TteSr8NwT+2uZu8eDGaRM5/VDicnw9ujOuJt5fHtDYc2B5xCFBSEKIQoa3T4Gulw+ZXfXpnPq6vA%209wryK5iJicdXyri+UHtnJTYVuxHafB+bfooX8tK4/uHB3bZzS3T4OD7r7dv3Tml+nwYVlakOFdgS%20DonprXS0UvWuLz5S63G17KVxst5T+pcOHm/G4PwSr/nmtywmKCge6fGczlBBkYhC3XgotPtNnaCl%20XQqN+gtVLmaZtiYen/t33HXo867JxXvGUhw7JNYmDG4/lG3IU5obW++bocv/ANGq50+21ZaL+ERS%203SWj3Pjf8m9uRpmLUnvEd6/Va5EdiQypiQ0l5lfztLAUk/aDVuYy4FbTWcxOJR2PZwmFYVDakhpv%20eVdt5wqKSo32p3dBroK11itOi3utu5E+cxMz8YhKJUlSQpJBSoXSR0IrYqTGH2iFQ5j7gHjU1MZ2%20AX0uo3sO7rBRva1Vd/JnXPZ3/afZK8yszF/GY9FgwOUOVxEfIFksF8XLR1tb41v138qxLlc3jfY2%20215z4t4gKSUqF0qFlA9CPI1mqoVnjDEPJom4x5UJpSiZUNAuyu/7qOiPuFafsxFsx0dGfcbX1Tr2%20R5/CZ7x+lN1uc4oPm5A6qSPtIH9dE4n4PungbjzGtEFAoFAoFAoPiUpSLJSEjyAsKGX2xoFAoPik%20pWkpWkKQrRSVC4P2iggZXCsMW0qxyDjZjRUtmTH9J3n9+1t6fga020Vnt0dLT7rurP4p86z3i3WG%203xL22wHIpeRi8iaTJejOofDsf/L7nC2lO4hu3gaj7ETERbqyj3W+vZa2r8NbR2n8WPplZcLxjknA%205aY2FZTluNynyVMWCZcbuEqUUnotF+t1XrCuu2ufw9arO7mauZXO2fDbWO/pb6ukVacIoPD7LT7L%20jDyQtp1JQ4g9ClQsQftFB+WfcP2vd9us1Jy0JrucPyCirupTdcF5RuUr/wCrWeh8zaokyp2MdW/C%20QiGbtrW6szAPQErWVWR5q8PhUd05ZUNMNzkITdEeG2XlurO67irbSs6eqxNqlPq1sxHXkYCG30gQ%203nUIbYt+asG53A/hGnSkIY50iY3l4cDHqQtqPuKpb5uljdayVnx6UySgRhvyXmVOphS5S1/ppZ6u%20oVopZc8d3S1qmIxI2Ift1yPNZuKwrHSoxaAclyXUFCGu3qlSx+IaXphGV/HtZwyNAy4VlkZHlkRh%20x+A1EOxtxTjWwfl+r8wE9b0mCMoaFwxh/jsVDsVhCHIjinMYpYS44WUlbrinLaOd5BFrdKZIn5OO%20yeNlMtnYoPIfbMlyNH9bjSDqE28bXoIk49/6oMKHY3jclT3oAQdQpR8BTA7B7LRlMZFhExyFBiSA%200VpkJBalIIV87hICD91Oo6xxBjkAyjE/IRVNtliQxOwnc3qSYICmZqUWHzd02R8OtTHdHouLUpte%20QlSG3gt15DM+NkkC7qH1KKXQB+4Etp3IqIlMxlEt5hbfLY/G5aPo5welzICAfSplyKAVNeY3BSvt%20pEE4hIyshBxKHZmSkx4zSWnTPjqXZxxPbIS82j94G274Uz0MR3cfwmWZyEZcxyU3AjuLcbacdV23%20uyVkgsp8Er67qGWxmZ+Ai4NaG5sdMdtbal7HApavWNVaepVD1bjk3EypapMmfHDO8rjRO7pY9FOi%202t/LwoYYMrm8NHkYx5yewtIlJ0Qq5J8qGGzEWzIkJW7IjvSWgox4sdfcS0jxWo6XV8fCh3h5mPNx%20s1DKwVOPx3UsoRqVqKSLHy+2g2mGHEu9+QtKpShtFj6GUfuo/wBpoNSO72JWSaSkOSnJKOyx5/kp%209alfujrQ6N2LGKHFHd3pb1u88OqrfhT/AAig08cqSIQjRW+5LMiSVX+RlPdPrX/sFMEw3Rj3GYri%20EoUvcFKceWPUtRGqlUyZ9Wnj/qnsbAjxboUI7Yfljo2dfSnzWf6KdjEQZOAhjAS247PaYKCSP3j+%208o+fxoZZ33JMpa0RXAzFASh2UBuK/QLoa6feqgwvNsNScSy2EssNLfNidAAySVK/89B63OzU7Qlb%20MBXVw6KkAHoP3U/HxoPLi2G8uHHHEsx2YKhdXyoSHkgC9B7CTOKXHEKRj0+pllY/nqH4lj93yFB4%20bdbbnZZ99QS2BGK1ePyq0A8/hQ+EM8Nlx+YzJko2FKgY8Y/gA6KX5r/qoS08W+03hmpD4K3n1rPb%20SLrddUbWHxNhekGcM7rTyYs2U+ofVmK8kAaoabLZu2j4nxNR0JfW5CWYcRKE96Q62kR2B1V6fmUf%203U+JqU4YUxkLzDanlfVuxGy5JWs3b7y9EobT+6EKojLMyv6RxUeSv/Kq3ORHlaFRJ3KZ+46J+FBr%20rQ+owpTyFiRJmISlpXVtktr2tE/EfN9lB5kMKBdahONN4dn/ALY06rttlw/gac19GnqFvKh1lv4j%20jXO+WTX3MLgzFx7jKIpyEl3ttBGoUWPT67US65x32QwsdDbnIHf1VxsWbh7e3EbBHg1dVz8b0Qtu%20X4XipsVhuIDjZUIf5CXFAQtk+Qt1SfEeNBz6bjpaPdLjWZ5c2hh3EsPR4eXRpHkLeStISq/8tfr6%20XOtSOwAggEag9DUBQKBQKBQKBQKCr86xMvKY9yC2zHEOU2puZLdXscQm2gRob3+2qPO13tXFcRHr%20M+jne4673pivjET3tPpD8/x8Bkc+yMal5xOXgKKocNIGvaVf1kkekgda897bt+3umIibZ7fB5X2j%20f9nkTis38u3wj4vaC+FKZlNliY0dr7C9FJUOv3eVere9icw9USUHhyXFYQw4v85L5KUtoJCh8a5X%20L52ztpjM57zHRwef7nt6V49c2z3mOj4tiO4tS1MpBULEHXTyJq5q0zNYnZETf6Ojo482rFt0Vts9%20en7HhxUKIx6yhllItboLfYK2zopOImsdG63G1TERNYxXt07NJiU64nt4qHZo/wCM56G/tFr3rOmq%20KxiIwy166UjFYxHyb2Pjzo7xkPTFuPEWsj0IA+CQabNNbxi0Zhhv002xi8ZhmZjtMqWpAO5w3USb%20kk1jq4+vXnxjGWGjiatOfCsVy9vMocSW3kbkn8KhW2YreMT1httWt4xOLQ+oQAAhA0GgSKmMVjHa%20ExEVjHaIfalkUD+rxqJ7Imej07Iwn0pDb7ipQ6tlNjr8L1xK+6bfu+M65x8PX6vO1953fe8J1Tj4%20ev1WjhSt3GYR+Cv+ea7j0aboFBq5PFwcnEXFmNhbah6VdFIP7yFeBrG1YtGJbdG++q0WpOJhr4TG%20zce05HfmqmMBX+VLg/MSiw0Uu5Kqx10mvTOW/mcmu6YtFYrb1x2mfop3PvbzJ5zOsZDG9kJKLSg8%20ogbk6Jsmx8Kq8nize2Yd32X3ynF0zS+Z69E7gs+ITcfC5pr6CbHQG2nD/JdSjQFC/H9lbde3xxW/%20RQ5fBjdM7uPPnWZzNf5o/wCizVZcVG5rjmGzYZTk4/1CY6t7SSbAH4+dYX11t3WuLzdujP25x5d0%20S7icvgN0jCrVLx4up3GOHcpIJ/wCelvKtM67U607fB0KczVyY8ORGLel4/8A2+KZw+ag5aOp6IVA%20tnY80sbVtq/dUK3a9kWjo5/L4d9Foi2Jz2mO0t+s1UoFBzj3G4nyXIZdiThQ44xISES20rKQkp6E%20286ocrRa1omr1fsPuujTqtXbjp2+aycVzURMOPhpRXGycRsNrZkDapep9SDruFb9OyIiKz0tDme4%208K1rW36/xarTnp/L9Vjqw45QKBQU7k3uRF4/lFY6RBcdcACm1JOiknqR9lVN3KjXOJh3/bfYbcvX%2051vEfJa4UpEuGxLbBCJDaXUhXUBQvrVqs5jLibtc67zSe9ZwzVLWoXubluVYhUWTiXVJiP8A5TwQ%20nepK79QPjeqfLveuJq9L/b/H427yruj8Udf0J7h2cE/FMsy392XaB+qZWNrlybpO3+zatujb5Rif%20zKHuvB+1sm1I/oz+WY7J+t7kn7P2igUEv7eG3I8sP3m0K/5ooOhUCgUCg8SI7EhlbL7aXWXAUrbW%20AUkHwINBy/k/sDxuc4ZOBdVg5BJUtpobo6yfFTehvf40Tlz57/h254w9ImmZByjhUlTEXYWANgIB%203lShcA6aVGEZQvJvaf3Ogw0T1x4jC2XUIiMd5Li33XATtCxtCLbfI0wmerf417b45cNEvk70yAJr%20KW1sxEFcZHWyFP2KVWvqKI8vVK4/hXCjjZMTijbcDkTpEPvRHUq2pvpIUFBX5Pq/r1qcCegZN+Th%20cZOW39DPgrDcpgEL3oeX9O6+kgDd6U3t4UPX4ttjHRxy7KZZhO7KJ2YopUB25EQtpfIXp6VHeQFe%20FCeimTIOK5riHVYthtrOcQn2lyljq2t0j6QEEb0dlfqVTJlTuSYphUvNzf0URp+LdaYbdiNKebdh%20SrK9BT0U1dKQPLSmTqh+WcaDPLoeHawxTAmsRG0t7u0pxCWTdxa1A9sLNlbOvxpjA1sNg8NkFM8Y%20feMRbkuNCYmtnckyRu/KU50W21axIta9B2aZjM5D5zi81jsk7ufiyYfIY0xH1Ri/SpR6kJR29wO/%20rTuRLHl8Xmkc8h5bD5eZIb7K2ssppaSHAkXWhmybBxKVaDW/ShLZzXE+PzcniMy00p+VHfLTL0he%209LrcgBtKFbdtkhxR3a+dCJScxDLOMzCI0RqIiOy+3Iitpv23g0f3io2I1BpBP0c8D0VvHRXpAQ20%20GGgCoAEkoBKUeZVQwjszFbexwlSYyWyh1sw46hogbgAtf8ZH7KEJjIqhsuOOOtAguENtoSNzi7/K%20KGEa7ER+pYmVJba+rMhKUBIG1ptX4E/HTU0GzPRACEtuQ25LrhUWInTcR+JVuiBQw0GcFiWc0ylU%20Vlx6Qw65IWAoJKgnQIG7QChlsOwMUlaWI2OjrlEBYJCtjaL2KnPV18h4mg1sTx/BsvZJtEJDxElI%20S4sKJ9TSSQNem49KHo2XMdjlvGLChMtyE6PS07khm/gkkm66DUwHHcWzjdqfqCpciQXXu6Nzig6R%20vOmnxoPTuLxspp9iCqQgICkvywu6Uj91s29SlVJOYe8RgMS3hce2yl9DQjIUUh0aX+ZR0rGDHVp5%20rEY6XipyWVPJhNpIeeDoPeV/0aTb5T4mpE0uC6yAlGSlMsMtgpT3EpQhIQD4poImbjpM+fiVu5KZ%20+nhxwtBSkpW4tLe7f8uifC3jTsJR1iQ22p57LTEMp0K96bA+AA2/soIxOLlyuQMyZeQmJQ3DUuNH%20Kkkp/MAu76fxdQKHWEjITPjtFw5JW1wkJ7zRddWonRKSkpH3WoNGHj80vMTX5eRa+obRHJaSwotJ%20WpKrG275x50Ib5Tl2lNoRkWnZDpsywlhQUop8b7tAL6mhlH8fgZZUFiQcg13lIKGmVMKX2hc3Sgh%20Q6+dDJnMhkoGLl/SuM5SYppTaoqWi0lKVgpuVlShuH7tBnx8sY6C29lWVJf7CVvTUjeyvYndsCho%203YDbY31oYe8W7KchIVCZ7n1Sy8uZIOxv1X2hIPz7U2GhoSwPRo8qS1IyUtx+OwoojoBDYU+k7fyW%20yCSE6jrqaJWTFe3HuDyZ1lMS8HHNuhw5bJNKTJTYFO1LJKCu4V83hRDrHGfZbieHEZyZ3ctJjISl%20pUshTbZHi2gAW+8mgv6EIQkJQkJSOgAsKD7QKDHIjR5LZafbS62SDtULi41FBkSkJSEgWAFgKBQK%20BQKBQKBQKDVyOLgZKP8ATTmUvsbgsIXqNyeh+6sNmqt4xaMw17dNdlfG0ZhynlfthyfIZB3IYuPC%20hSg8Eoda9ClsmwKlEeNvCuFyva9my09or6RDzXM9l2brzP4Yp6RCwZb2y4qOOoVkN4yEVoqORSqz%205UBcpv4i/QV1NGmnG1Yz0h2uLopw9PjnpHxcqxnHcvln1s4RSMgpCd5bd/y7iR4hY9eo6Vo4nuFN%209prETEw1cD3inJvNIrMTH6mPKYfOYlxlGVx7sQSFbGnVC7ZV5b9Ks8jkU018ryucrm6uPXy2Thtx%20+IculxTLhYzvxQkrDxXtCgnrs9J3U0b67aedc+P0OPzKbtfnXPj84QktWQx2XTAkxFiTtBcQ4nal%20Clp3AX/F6TeuZyrcjbeK680hyvcqc3Zav2s66W7T/n8G23x2M+peRX2VPJFxc3It5DwrZX3LVqmN%20czNpjvaUU9406ZjVa1rTHe0/EOhseorr0vFoi0dpdvXsresWrOYkrJm+odfaJWwUpd/CpQ3AfdpV%20blcb71PHM1VObxPv08fKa/RmbekTnknISWWV9Nx9NwPKuTWv/Brm1rWz6ejh1r/9bXNrWtM/y/yv%20hmyoEpbcBxh8oPqJFzb7b02V/wCdXNLYmO9fQ20/+xr5a7zWY71nsxOOLdcU4sJSVG+1IsBXW4um%202uuLW8nc4XHvqp42tN5+b5VlbKAEgqvbXpehj1T3EMhEh8Miy5bqWY6N4W4rQC7igKi1oiMy26dN%20tlorSM2lLYvkWDyrjjWOmNyXGhdxCDcgedYU21t2lu5PA3aIidlZrlIkgdSBWxVwaHUajzogoFBr%20ZDGwcjFVGmspeaUOh6g+aT4GsbVi0Ylt07r6rRak4tDFh8WvGxPplS3ZgCiUOPncpKfBIPkKilPG%20MZbOVyfvX8vGKz8v3t6s1YoPKUISVFKQkqN1EC1z5miZmZeqIKBQKCOzOAxuXbR9UgpkM6x5SPS6%200fNKqwvri3da4vM2aJzSe/ePSfq9YaLlIsZTOQlCYpCrMvbdqijw36m5qNdZiMTOTmbtey3lSvh8%20Y9M/Jv1sVSg+2PWiMoTO8O4/nZLMnJMFx5gbUKSrbpe+uhvWrZprecy6HE9z3ces11ziJRziM9xp%20YUxvymCGrqD6pDCfJA/Emtc1tr7dartdujlxjZ/T3elvS3+5YcblIOSjCTCdDrRNj5pI6pUPA1up%20eLRmHL5PFvpv43jr/js2qzV0RmOMw8i+ma0tUPKNizU9nRf9lXmmtWzVFuvafivcT3C+mPH82ue9%20Z7S9YBzkJQ61mWWkqZUEsSGlX7qR+Ipt6SaavPtY5v8Ax5mLac9e8T6fRz33JxfJG+Qpexz7whSE%20pUQhZAQ4Op08PIVT5Ou03/D6vQ+y+5cSmjw3ePlHx7zDoHGZ2Qzwax2PQG8g20n6n649pxPhuDZB%20K/21b1bYnp6uDzuBfXM3jrrntMdv+jpnEuIHCOSJUmWZk+UAHXNuxAAt6UIuq3Tzrc5yyUCgUCgU%20CgUFQ9zyoYOGUX3iewU263sqgpr0vtyHnwshh5xKJDYI2su//MbT0Sr8fhpQa4gBvkWRyccpZybD%20UeDIaQAEyUNqUpwfAqS56bUnoNhcSJkRNghahDyjJyGPktizrKlAsrCR5I7VyCKEqtwKXm18ZVC5%20KH2xFedCCwglLrYWUoclKAKgg/aKHZY4isMnMS1xZkSLJkwQ8x9MtK2wAoRyytsEqWVnpremBSoG%20Eyub4TncZNlfp0/Cz0uOxmklLzQW7dlW5V7oLZ+UjSkydGvnuNLl8xXAyD0mfCTFIXF3pU+zMdTv%20YkNpQApaXG0ruE/LemBEcC45GfZtKVIf49kYRajIYbLn0suLYKQtSQStXr9SkkUM/Fd+LQ1S+bNZ%20jF5KTCwMho4+ZsKFKbyTmnaQpaVDadOt6ep6YbkAPYbibDqXHJOO/U2sgw8Rd6MA6AUPqAsQot/N%20YAUI7s3K8uxjcRPlRXo8lxLzMiTCYWla9qVhxb7ASTZSUdR42oPOfzC3uO5DJYSPLmvvwlbXHI7j%20KHGFt3UlzcPXa5spPQ0I6OdY+U/9PGlysZIL5YaSlA1baTsAG241J86ZGvyPMONY0AYuSZLi0Blk%20m+4hQ66aJ+NBviS8mWuU/jpjs1RItpsa3a7W/T0+ND5NPJ5vtZDFtiBJS+HwtLShuFh4qsLj4edS%20NqNPxrBU4tclyS5o679K74/hTpomoMNJ/kWPPIIzETvuyAw6h3/LO2ZBSfWsdT9lDLfjTsUy3sR9%20UtxR9bpiu7lqPnp+yg0WMzFMzIssKfaS5ISHZSo7m1pPZAPhoo/GgkY8/BMpQy1LaS0m/q3gknqV%20K160JReLy+Ml49cduchqOJD/ANQ8VBJXd0kIbv8AhPUqoZ+CTcy2DRHcSJkdtlptRCQoBKUp063/%20AK6RAjsbk8TNxEBLktpEBDKErZUrat1Seu4XBCB/TQj5NzNS8YMI6oy47bKwhltQcTtRvJCbi9MD%20YWpuY4hyTLYRDSEluGXEBSikCy3Dfx8qGPgw5Ofj48zGPPSmdgdeSAhxJJJaslCbHx6ChhmaLTzq%20X5b7CEt/yIankHbf8S9dVVJ1Y3n2Rl0OB1D6xDXsaZUHFrUXk+kBN71BENxiDMDv1L7Svqj8jSRd%20DST4J8z5mg0S+mJkZ6HSlMp/6b6ZhxQbUshKtfV4DzoYZI0/GxpKpD0j6mSfVLkMpLobCfwgI+VA%2086YPqjMJkGpGIjIW6uBBWlTglkbC6lROiVK0SNPGg3I4iyoM+TB2GFHYfRDQyoLBu2dzyyLk36A/%20Cg+MzY8kMRQ53WWQgOR2h3lyHdgUlCUJuSlJsb+dBdMD7PcvzAEkqHG4EgEPMH8x1xtYIJSi/wCU%20r7RQdV4f7X8U4uy39KwZUxCQhU6UQ46qwt5BI+4UMLcAALDQUCgUCgUCgUCgUCgUCgUCgUCgUEZm%20ON4fLraXPY7ymf5dyR/VWndx6bPzRlX38XXux5xnD5g+MYPBoeRi4iIwkLLj23qpR+2p1aKa/wAs%20YTp42vVnwjGUTm/bfj+aWVT1yXCXg8kBwAJKTfan0/L8KrbPb9V7eVusqu32rTstNrRmZWdlltlp%20DTaQltACUpHkNKuxERGIdCtYiMQ417y4XHwMzjshHSUyspK3Sze4UW2ChJA+xNRFYic/Fuvvtata%20z2r2UL6OP3u8E2c8wTrWm3F1Wt5TWPKFC/C02vF5rHlDPVhaACTYC58AOtRMxEZlEzERmekBBBsQ%20QR1B61MTkicxmHh1lt1BQ4kKSdCDWN6RaMTGYY7Ndbx42jMDbTbaQlAsALCopStYxWMQa9daRisY%20iHus2YFNJN3dwbHzFA3G32Vp5Gy1KTNY8pV+VtvSk2pXyt8GR17FOoQuCtZTaywsWN6oe38zdtmY%20vTp8XM9r5/I3WmL0xHx7YeEfMPtrqu2luH49vIcBGPdNkPpebJ8iVqsfurG1cxMNujbOvZW8fyyi%20eP8ABs3w9a58FbWUUoFDzG0oc7RN/QSTc/dVPXxrauter0vL95086I17Ymle8T36/wCTHzluRyTG%20NT8Cp79QhKLUrGi6XglXW6OoItWPIj7lc1/NHo2+z2nhbZrtmPt3jMX/AJf1o6LyzkfDsaxh38fd%20/VxJkK3elXgk6bgK1xuvpjxmFu3tnG9x2TtpfEesQ6JxnMuZjDR5zyENPuC7jTagsDUjwq/p2edc%20vKe5cP8A426dfWYjtKVraoFAoKxzDnLHGXmG34TkgSE3bWg2BVcjZ0OtVt/I+36Zdr2n2f8A5kTi%208VmvyylOOZxrOYhnJNsqYDpUktL+ZJSbHy8q26tkXr5Qo8/h2426ddpzMJOtimUCgUH0AnpQfLWo%20FAoMM1hUiG+wlZbU6hSUrSbKBPiDUTGYwz138bRb4S5TxiTy3F54TeRmYjGxyttbi0qU2dwsk9On%20xrmavuVtm2fF7fnxxd+jw0+H3bYw6xHkR5LKXo7iXWVi6VoNxr9ldOtomMw8Tt1W128bxiWSpa3h%20phlkKDSEthaitQSLXUepqIjDK15t3nL3UsWlLzECKVJUsuuoF1MtDesDzKR0FRMxEZlEzERmXO+a%20e5Wfx8lKMe02zEeR+W84Csg+dwRXK2e4Ra0xrnMO5/bWjhe412RMzNtffEux+0MDB5DjkTLvobkZ%20xxIE5xag4tLg6gj8NX9F4vETPdT904EcfdMRH4f5Z+X1WHlfAsTnnGpySqDmooH0eTjna63Y3t5F%20PmKy2aot9UcP3DZozEdaT3rPaUvgo2Vi4thjKykzJzYIdkoSUBep2naSdbWvWdImI69Wjk3pa8zS%20PGvwb9ZNBQKBQKBQKDn/AL4NZN3hGzFPGPk/qmTDeSNxS4Aqx263oKvhpWdkwY0uZllM5N9pJnsp%20ZbUkBYtdB2FKk6a+VMmMIbhuM5Pjm5+Kky40/HtTXnMXNkhaZTyglKlM9wFLYUnTbuGt6Ho88uy0%20zEdrJtQno7Dm+JPH8xlkyk9kyu436W0oCrkE+F6ZPnCxJltLbQ/i5jD5jMoStLS07pMcIBWgNk3U%20eqwbUwITP4957OReS4V1oO8fDQcQEp2yvqyE2O0bAttLuy3gReg387GiSVcidhPqh5J2EJDL51U2%207GKUKjOpH80rVqCB9mlBAYtnlGf4LCnxIrDHJWnC+jKtOoS6h9N97LrbiioAAqFiPspkiOqMfaiR%20MOqXxV17G8iDjWQiQ3CNy5LlzLSps+lYJt8gtROUsyiEwxkIWBW5gHcrGbnwcRMs6iRLO7uKaKPU%20p06W2mjFtN40ZfgmMh50udmYY8Z2AglIYS88pC960WKnfHrYaaUwyTZR9PjZ2MRsWcdAfaYOxF5E%20YNqAd3W3XGqTr4URmWBxqPAwT+PQ+sQl4xxWPUpRNnTGK3GCRoOpUL/ZTuYjLnyZXYhw0C7khxhn%20ZGCvUT2xYqBPpT8aGGplWlt4txbqyuU6433lgmw9Y9CL9EiglMhKeTNcZYBclrUSEKJCUDwWvyFC%20Gk40GJGKSlSnHFS0l51eqlKN7m/l8BQZnZL6nFR4ayl4A99/QpbSfIHqv4UGNttDOahssiyBFdsS%20PUfSdVHqaD0p1yVdmOtSIybCS+ki6iD8jf8AtNB4xYbadyTbQDTKZKTtPqAHZTdSt17/AH0MPSVO%20S9wShtvHqXtU72kh1637lx6UfEjXwoMeJDDOIH5bTUdt+T6diLJSHTbUi+lDD06E5BlfcYSjHlJ2%20tKaShb5t1UNoKUD+mhL1AdabwcB90NoZRFb3KU2i3pHh6dTTuT8kflcbClIYmS4bYCZkdUdgixsp%20Wq3QNLn93wqBISYmGaQp96G3tJCUpTu3KV4JQL9TUow0HsNC/VMXKkQ2hJK3kpZF+20gNEgdbFfj%20eiW7JjYppKVGA24+6bMsjduWrz66JHiaYGgnj+I/X0vvR0qmfRqUpbanEpQruBNk7VW0Tpeh3bD+%20JxTbiGmY63JbguhBed2pT++56tB/XQaWO49Gj5bJPsEy5YSwFpkFSkOJUlRUlBJujpprQ+qShz4E%206XHZZWmPCZUC826kN90p/wANSrJugfvdDQauAddy0VrD4ppU50gokpYQHEpSskdtKrKQi/iT0qfU%20dCwHsTkMq22vMtowUAAo+hiqJkKbIsUrWCpuyvsvUDrfG+C8U45FajYjHNR0tJCUrI3r01vuVc9a%20CeoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFBilymYkdyQ9cNNgqWQCSAOugrDZsilcz2a9u2NdZtP%20aHFvc/PwORLxT8BaC3BfWpxW9JJBQpOg6+Nc3R7vq2W8esOTxvfdO2/h1hT66rtFB6TLyEcboa0J%20WOoWLg1z+fwfvx0tMT+xyvcvbf8Akx0tNZ/YOPPPLLjxBcVqqwsL1t4fFnTXHlNv8ejfwOFPHrib%20Tb6/weatrxQKBQe2J0iGsKZitSATru0UP6bVyvcOLu2fkt0+Di+68Lkbv/Hbp8Oz4t0uvqc2JbCj%20cJT0q3xNeylcbLeUr3B07ddMbbeUrB7fi3Gmk/uuLH/KNWlxY6COkYDFvZFGRLZbmot+c2Skqt4K%20HQ1hOuJnPqs6+ZsrrnXE/gn0e8vhMXmI4YyMdL7Y1ST8yT5pIqb0i0Yljx+Vs028tc+MqpA4HmsF%20MkTMLk7tkXRCcBs5bXYo9B9tVa8WaTmsu9t9818ikU368/Gf4wsuBzEnIx3Pq4bkGWwoIeaWDtuR%20cFCuih9lWNV5tHWMS4/O41NVo+3bzpbt8f0pStikUELyjiWL5JGZjzytCWF9xC2iAr4jUHQ1q26a%203jqvcH3DZxbTNPWMI1WEynGWy7x68rHpILuJWfVYDVTavPxtWudU0607fBerztfK/DyelvS8en1T%20mFzkLLRy5HJDjdkyGFgpW2s/hUDW3Xsi0OdzOHbRbE4ms9pj1hIVsVCgUHPfdHB5+Y9Ek4hbikFJ%20RLYQ4EaC20i/9JqjzNdpxMPU/wBuc3Vri1dkdPTplMcJyzLWOj4ac441lGE2Lcj5lJ80qNgoVt0b%20MRFbfmUvdeJN7236oidU/D0+sLVVlwygUHxaUrSULAWhQsUqFwR9hoR07OZ8pzaeHZ9H6Y06007+%20YqATuYdB0UpHik/fXO33+1bNf+j2XtfFnn6JrtmLY6RP81XQMVlY+RxLGTSCww8ncQ76dp8Qb2q/%20S/lES8pyuPOnZbXM5mrJGkycg72cREdnudN6BtZB/wDTEbP6ayaFhx/t1k5gC87N7TZ1+jh+kfYt%20St1/7tBKch47xjGcSmRExVx4a0hK1Rhd25Isd5Cj161V5sxGq2c4+Sl7hNY028s4+XdBe1fH8C9j%20nXn4AdmMOKQHnwFjtgnt7bjb8o1rl+zadeJmKz5Z9XK/tytaVtakWrbPf5JPPe3i0ZFzP8Uk/pWc%20UPzk9Y8jx2uI8PtFq699PXNelnt+N7liv29seer9sfRPcWyecnQXDmsf+nTmHC0tsLC0LsAd6CL6%20G9Z67WmPxRiVXmatVbR9q3lWY/V8kzWxUKBQKBQKBQKCo+5jpaw0FwKCSnIMG50HRfU+FBSncnh4%202UkY56WhlwlM3GOspL5S67fuxk9sLSoelPp8KJjP6UJxrk+NyzmUwk8OY3IwJ5kuB1pwJQpwJDT6%20SRoNyPxffU9f0MUs443LMfFdxuRNefC5+PaV3WXGmLOKPpKgpLiNLedQybaIcQLS3IgtoxxWtUNf%20bLBQ02krXGLiQhQVoSk38hRir/FMNJxRz0Z/1cdym6fFjpJU5Gue2h1J1WtsLIC+pvSJS3DjWc7P%20wU+KFS5UFtRy7MZX5b7EVXZudb7yqyk+NutBvQuwZM84wqYfiy+6VttXT25m5wMyGyncFC1iq179%20DSTCNdLcnlmPgojpx+exk76mF9Qix+lkXMhrcRtU16U2PzCmBrSp2Nmctx/GpH/c2TxEheVgOuKZ%20WpiOoj0tuLKkqA2aJuTSDOWJfL455wjBqS46woOZD6hhlwtOvLG0lpG3d6e2D00oYy2OVTMkzxWZ%20JxWPlyJqElESQS02kB4lC0LQspd2rB22tQesxGymY4RKZdaiY5MqAHg5udUrdHb1CQkkpVub8fCg%20oONhZdmHGX9TDcfWw0HH1pd7iwUCwJA0t8KGWpyNWfMBcViRDLncb7zqUufki4sfULFXwofRKph5%20mK8tDbkaYsuHuA9wLdIvruVa32UEZPmchfmQEQ4UdpbclAMnuEo3G90JBUbqH7KZEi0nMsthlnHR%200tglR3Om5PipRKr6/GmYMwi3JWdn5yM1GhsIjhh0PvBah3RY7kNkm4+2glm15pKQhvGRkMoHTumw%20HmTu/rodETAny58rJqOLkHHiUg3SttJdWltKdqrkEIuLi3Wglv1J1CVOKxclDbQ9R7jG1I8hdX7K%20GEThJcyVBbek4mR9OmRIXFaStobruH1OAq6jy6UEjNyzjMJ6S9jJfb2kXDjJKlH8KUhW79lBo4uW%202rG493IxXxKbjoDUYIUtptPgr0gpUo/fQyZ7kMFmLGPZkuPOS2C0wWlAu7VdLkaUThtNz2Q99TKQ%2086+BZCUMudtpPWyAU3KvMmiGnlORwWMli2W40mTNKnl/SISQspU2QFWUB6R1V42oN6NPgIUp6W6t%20Ep0epxxpwADwbbAToBQw1H+RYhGfbYYlJfkqhrQhIQ5tbV3Qbu2GmmovQbrGRwbDS1GeFrUd0mQp%20twbj9u3RPkKDHiP1HP5ybj+PRn56ZLccmayjYyUpSq6EuuBKN2upvRH0dVwPsWZUVA5Q+gM7UhGM%20hiyEgfhU8odwkfBVqJl03j/F+P8AHoTcLDQGYTDY2gNpG4j+JZ9SvvNBKUCgUCgUCgUCgUCgUCgU%20CgUCgUCgUCgUCgUCg+KSlSSlQBSRYg6gg0HH/d7i+Gx7mNnY6ElmVJklL6mt1lDtqPyX2jp4CtEa%20ddJm2IiVavH065m+IiZ9VCUlSTtUClQ6g6Gt8TmMwsRMTGY7FElAoFB8oPtAoFAHUUFj4F/+gW8n%20Vj+mgsVB8uL2JAPleicS+gg6ggjzGtEFAJJ60CgUCgUHhDLKFrWhtKFuW7ikgAqt5260wmbTMYme%20z3RBQKDnvulx/OTX4MzDh1xZuzJYbUU3Gm06EW+NUeZqtbEw9T/bnuGvTF67JiI7xlkwsPHyMTH4%20zyJt2LlmNWH1H1nxGx4elX9m9TSI8fC/dHKveNs8rizE657x8PrX/otuEiZeIwuPkZKZYbVaM8BZ%20RbtoF9Nas662rGJnLh8zdq22i1K+Mz+b6/JI1sUygwypkWKm8h0N+Seqj/ZSPUfuoIvJ+30nnBjq%20GOW0yzo3kJBLVknwDd0r/orVt01v3X+F7nu42ftz+Zsv+3eY4YY85SHOVYWOAlzHE7HWT1U6gJ2B%20aU+RvWqa21/l61+C9Xdp5nTb/T2/6vSfq6nxbNYHL4puVhSgRToW0I7ZQrxSpNhYit9NkWjMOXyu%20LfRbxul6zVnxaELSUrSFJPVJFwaEw8tMstJ2tIS2nySAB/RURER2RFYjs91KSgUCgUCgUCgUCg1c%20njIOUguwZzQejPDatB/rB6g/Gg5tmuKzuPxktR46HsZEV38ZkGWx9VEe/jSB+YjzOqqCAgZ3E5JG%20f5UytDao8hTc0P7TvbShPdYUhWqilOqNOpqOh1iPmjMhxhnOZbBckwClY8PqdRCMdXY+ojto3K3A%20FKUFwlTaRprUnr3bfKeNs5rAuY7GzpbU2WoqZU5IcJj/AE47jxdQVGxshSRca1I34mZbiHBSMksR%201JjqgrkqACZUdtBcG1I0BU4gAjxqCULhuMrx/KM3k3VPxsfk/p3m4sV5bZjd1oL3qCVJGwnRW3oo%2009BsJ4gyzzGRkYsuaz3YPeysEPr/AM2UbQhQVu+ZIJ1vrQxju0+T8Ybm5rA5uBJfUjHtLkT/AKh5%20whUV8pLYcXcrSkbfUBqKHZYcjjsY2ESnMay09hX0OSGnkh91tlX81RcXuWtAAG3U+NMfBM5Z32iv%20MyVXSJmPaZZx0lH5RZllRUoHZb0qSpAV8KSjLDKcdegodJUDMksNyApRU4hTboKk2uf7WvQGhOcd%20erxm5caNAzEt1JTClMOoeIBs1JDZbQRb5W1pCQbfiNEzLnja3nGI8aKd7vYa78gC6GklsdLaKV5W%20oZYctF7OH7LaFbUuNkqIJUpW4XUonqTRGW3MWuVLksMKKGErKZEpPU66tt38fM0GGU2ESsQ2hvY2%20iSnakABIA6knz8yaERkCfrjZO5OPSbE6hb6gegPUI/roGhyzq12Q1DiIU1YBKEBxSkr8r3A8KD4G%20jOKVuhTcMKBajXKVOfxOW/Cf3aD5HkNtOZR11Wxv6pCAlPwZTZKUjxpgwyttyH3UuTEBptsgx4gN%20xrqFu+avhQYIUxtjHpceKipyTK2oQLrUe6dEihiGZDbyt0uQbP7CGGfwNJI/5/xoPMGYuPhsbcuL%20ccjNpaYbUdyj4aX0HxoPGQTJbitvy3VKlLlxruLVZCBvPpbubADzoQ2HJsyQXfpXnGIbYJdyLu7Q%20IF1KaSdFf3hQ/ejmWQrJYvI+sSXVviOpRPeS12iPUrx3m5tfoaGUjLlubzHS4jvbbvPvWKGUdeqv%20xnwApg+bLxzi+bzWZb/07ikuRlxlMysrIQG2u4XQrc4SAteg02giiPr1dTwPsdAQ4iRySUMktPSG%200gNRx5X2hCl/YqicukwcdAx8dMaBGaiR0fKywhLaB9iUgCg2KBQKBQKBQKBQKBQKBQKBQKBQKBQK%20BQKBQKBQKBQKDmvvb+osYqBOglSVNP7XXAjuJSkpOqhY218apc3hRvriZmJc/wBw9vrya4mZiXKz%20JkybPSXEuOKAupAG028iKjhcL7Md5mf2Mfb/AG7/AI9fzTaf2FXnSAFHoCfsF6iZiO6JmI7yVKSg%209Imy4tlxmWnVeKXPH7K5vuHE2bY/BbHycn3Tg7d8f07zHyHXlvOF1aUoUrUpT0Fb+Hovrri9vL+C%20xwONs00xe/n/AAeatrxQB1oLFwM/9yuj919Q/oFBY6Cm+5+KysvCIlYpxxEqKr1ttEgrQrr08qqc%20vXNq5jvDv/27y6at/jsx42+LS9vcm9io36Tm+/GkPHuxzKIKTu6pSu58uhNYca80jxute9canIt9%203j+NojpMV7/XC/1eeWKBQKCvct5lE40lhcqO483IuEKbt8w1sb1o37/t+jre1+1TzJmItFZj4tvj%20PIWc9iU5FtlcZBUpJbd0I2kjr08Ky07YvXMK/uPAtxdv27Tmfkk0Px1q2odbWrrtStJNvsBrZmFO%20aWjvEx+h7qWJQKD6CR0NqDSyuIx+VjfTTW+4gEKQpJKVoUOhSpNiKxvSLRiW7j8m+m3lScS18Hjc%20pAS6zLnGbHT/ANlKkgLSnyUQNax10mvSZzDfzOTr3YtWnhb+bHaW05koyXQw1ukyT8rDAK1E/Ei6%20R95rYpJfHcO5VkxulFOGjE/Lo5JI+z1Nj9tBbMLwXj2Ls4lj6mV1VJkEuqKvMBVwn+7QWCgUGGND%20iRQpMZhthKyVLDaEoBUepO0C5qIjDK15t3nLNUsSgUCgUCgUCgUCgUCgUCgUFHzvtfh3sirM4aNG%20i5VW0OsvNJXDeAJKitggoC1X/mBO6pHPuR5/HccdiwMwycRDMtqWlhYKgz2nApztrFwW1JTdCet/%20CoPom47JTOyGacYX3cwUrmREJsr6JYCEOpV13pT+YR5UJmFYzbTfI+Kw4ePdbWnDzBKMki+zZLDL%20aLkab0kKX8L0wn1Wh+T3eROhwoZfXDeYfYUR2ye8lR236tKSklJ+yiIQULJ5b/W6oMQtHGyoFsNP%20kBQ2gbSplCCPVs6J32uKH1bMDGPx+R5mQZS5+NyWPQvJxnkJbLVwSVR0JJFv3k6X0pJiW3Akt5TD%20xZ0h9CG1sqjvTHCSCU9W3SLk7r9NbUwfVX+D5PP5LBzf1XHKVl4stxE+UtXabAAHb7gB3gAfiCaQ%20Q3sqORIz+EyUNcVhsuyW5zEXdJC7xwFyFh1KfUlvyv0oYx9GzmsezJw+VjSMhJkwn4bytiUIjpcC%20UFQ9bar2Ch0pJ0hzjH4KE1Aisx3JLTYYaUEokOJA/LBKjrQzKOzmOblYxxUabMZiNOoSXy+4tTqt%20wFkoUbbR50MZTT2NcZ3o/VHm48cKsSy3ZKQep16n+mmZMombj50+Xiw5kJLWPckgi7aA44fBYAV8%20vwPWh3Sb8ZbLZeeyzzTLRCdxZbsPKwBv+yhCOaxz8zLvrfnPoZRHZXGQptBKh3FWLiL2tfpQSbq8%20y0gvPz2A3YallJUSTtSkC3U0EbionIVTclKlSo6XkyUdqMGkqQ3dpNl6j57dfKmRIuu5xmylzY63%20Fna02GU3cWddNOnmaQI/AROQMw1yHZzBmLekC3aSpLX5p3IbJHS9DLekSMywlTPbiT3nkqCfUppQ%20SBqspSnaAPOiMw0OOxJ30cRuTOUxklsJDaw2jets/um9to+2iXydj48xiMsF56CiYy2A8tSw+oq9%20VkKJSlP2UIbM2MkPKYRkHYsGKEmQ26S+2tdztYQFEq2j8SUi1jQhOYjg/uTySVCcgQo8XHtqcUMv%20KKmzZbey7bKUq+UfLfxoOr8W9keMYpgHKlWallW9bkkfl7up/KuUHXxI+FCXQmGGWGUMsNpaZbG1%20DaAEpSB4ADQUHugUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCg8PMtPNKaeQlxpY2rQoA%20pIPgQaDjXKeFLxOWfMDCOvwZR/IMde5KVG5ttUU7fu0rjc6/Ki8eEfh/x3ef9x2c2uyPtxHh/juo%20yXFdxxp1pcd9pRS5HdG1xJHmPH7q6mmbzWPOMWdrj22TSJ2REX9cMqJ+UjECEpvaT60LSDcfbYmu%20dz/bp2z5RbH7nJ9z9pnfbzreaz8+zyVLUSV23Ekmwt1+FX+PqnXTE2m3zdPiaJ10iJtN/nJW9ZKB%20QKD6UrSAVJIB6Ei16iLRPaWNbxM4ic4fBUsk/wAAVfFzB+7KUP8AkA0FmoAJBuNDQauSgY/Ix1Rp%20yEOtkGwWRuST+JBOqT8RWNqxaMS26Nt9dvKkzE/JHYDE5XFuuRlTRNxO28Zxw7n0qv8AKTqCkD41%20r1a5r0zmq5zeXTfEWmvjt9cdp/6putznFAoIjk3GcfyLHphTSpCELDiVo+YEdR940rXt1ReMSu8D%20n7OLfzp3xhDu8YyWEhut4N1crGqbUl7GvrJUARqplZud3jbStM6ZpH4O3wdGnuWvkWj/AJEYtnpe%20P4/JRuE4XMxcm7moyVymoK7fRqWpMjtfxJOltPOqejXaLeUeno9J7ry9FtUabz/5I/PHaJdaxOax%202WjB+E6Fj8bZ0Wk+SknWunr2RaOjw/K4WzRbF46ek+kt6s1UoKH7oYvPuNRp2FefDgu3IZac2Ap8%20FalIvVPl67Tia5ek/t7l6dc2ruivj6TaGxwTLSk4+LhFJflZlS1JQJXoSRp/iKPqSP21lx74jxt+%20Zp9340bLzv0xE6p/0+n1h06B7bzpSkuZ2dZvqYUMlCfvd9K6tOCuOKwWIxTXbgRW2NLKWlIC1f2l%20dVffQb1AoFAoFAoFAoFAoFAoFBjkuONRnXGmy64hClIaHVSgLhI+2ggMLzfHZqc3Dx7bjjiEqVO3%20Db9OU3Gxf8RUKCx0CgUCgUCgjc/xzCcggGDl4bUyOSFIS6kK2LHyrQT8qknUEUHNchxOZxm65r+S%20yWN3enJNzXULYQdAh1sXukdN1/uoZnCFxWNiYjCcmjw9gwK5CHW3Ur3rZU80FqW6s2UpC1q6nxNB%20r5Jl3PzOK53Dht6Pj1oxwDwsZa0tFTiSddzbZbIA6bgKQJ2SqPKycZ50Kfbkx5SHlE2cbLTqAlP8%20DjfTSg0v1dTPK28dIbXIy8qCXILDAAW801YJdXqNu8K9VES1Y0EYrOPkNoXjMmhc9EVslxiBMRq8%206hsgDb8vq66dKdGXdLGIhWalLWEpyOQYQ+zL+YLWm/cbdP4mtgFvLWkSx9GNmRuysNcUFt9uG64u%20Gn5mXjvQpVvDckDUeFI+CcMOacaxXHcvkJqS1i1RXGilFj9PIdQUhaRe+xwqsr4k0gcziz4E+PGZ%20bnNphpaZS4NykreWlsDYNPk3daDPyAJaxDhcKGmmVt7tU2QncNAL9KENl1pc6Sp5ywhlSlx4+4fm%20WOjrmvTyTSRgybrDMnGPPuBKUy03JI1V4Aa6mhDKzHfceRKkBKVti7EcqSe0D0UrX5/6qDCtZYy8%20tbm5bi4rAQ2LFbiu4uwBv/TQbDOPfLqZMv8AMk39CQr8poeSE9N38VMky1WXXGZGTbQ2XpTkpPaY%203Wueyn1KP4U/GmCG5GiPJWH3iHJqhYqQfy0J6bG/hfqfGg0MfJLUVMRlHemF+SUsp6JAdPqWR0FB%20ttxi2w+onvPPo3PvbbFZt8qfJPkKCObeiSMfjIDiu40mOjvqaup1KvBDJHyqP4jTAtuD9oOZ8haZ%20Z+pdwWDSpKguSgKl+jVssovZPX5t1Mo7us8V9o+I8fDbnYOQmNfJJmfmqSrxUgKvtJ+FErrQKBQK%20BQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKDBOmNQ4jsp0EtspKl7Rc2HwoNPH8jxOQkiPCeD6ijuF%20SNUpB8CfPSgk6BQKBQKBQVnmHAMLyZve8PpsigWYntAdxPkFdN6f4SaDiGeh5rimWVAlKYVJACmH%20rbm3EE2BNx6DXP53H+/HjW2LR6fH6uV7lxf+RHhW/jaPT4/VrLkSpK+9ICEuKHqS2Ba/204PF2aq%204vbPyT7bwtuiuL38vl6QV0HUKBQfLrGqCErHyki4/ZWvbr86zXOM/Bq36vuUmuZjPrDZ/XMiGkCT%20FZmFs6fhNvgmxFcC3tO7Xmdd3mL+x8jVmdWyc/qywuvJecLqWuyF69u/T4V2OHTbWn9Scy73t9N9%20aRG2cz/jumfbwn6DJg+E42/9Wmra8tVAoKZ7l8ZzGXhR38MpX1kdRC2m1bS4hVvEfu1V5Wq14/D3%20d/2D3DVo2TG38tv2PPDpi+PR2sBnCpiWr8yO6tRW0sK/CFnxvWOm0648btnuemvMtO/j9Y/mr6/V%20apuXxUG31ktqPuG5O9VrpGlxVm2yte8uJp4m7bnwrNsM0WVGlsIkRXUvMLF0OoN0msomJjMNWzXa%20lvG0YmGWpYFAoMaI8dD65CG0pfdsHHQAFKCelz42qMR3ZTe0xFc9I9EVkOMQ5E1ufEcVAnoUkrfZ%20Gi0g3KVp0Bv51rvpiZz2ld4/uF9dJ1z+PXPpP74SUmZFioCn3QjwA6kn7BW1QRwzT8nKx8Yw39I5%20JNkSJXpAH7wSN1x9tVdvN1UtFZnrKlu9w067xS1vxS6Di/bXFNFL2WeXlZA1IdG1j7mblNWl1K5/%20h2BzeNTBlRkJDIP0bzaQlyOrwU0oapI+FYX1xaMSs8Xl7NFvKk4/j9WtwzEcnw7MjH5eeMnDZUBj%205i7/AFCkWBs711B0vesdVLV6TOYbudyNW2YvSvhafzRHb9CyVtUCgUCgUCgUCgUCgUCgUCgUFM4d%20mMAvlfJ8bDnIkzjKTJebQAO2C0hGzdf1EFNR5RnCItEzj1XOpSUCgUCgUCgUHPOW+z+EyMl/JYxL%20kaTISUzsc26WYcxKj6u+gAjfboqiFLkZLH4BmJxt5j9Im4+ShXHYbg2pdSfQtKT/AIm3cdp8etOh%20LLy13K419jI4lP1DOMyAdzyLb0duykJcbT+JwbvVRMfJkycHGvRYuRZfMhGMlB4ZltX+YLZ/mb12%20vtBtdH9NBtz5P6a7DdlLaZkwpSVd9v8AkOMukdw/wrSALpoeqP5LNVgHYUlTReisOqTNxyDZTDEi%20wW6FC+1oJ1tbzoQw8jwEt3M4zPGSpM+KUxX4kRztsPRH/wCSlToBupKl33baEtqfjsMvHTZKMe2p%20C4kktvSB3Hw4hCwoKcNtQU6adKdYMqElMNOOYXIbb7f07W8lIBIKE6D4+FMEd0LmsDjH4CZEiAy2%20hLjao8MJt6dwAU7+8SPChlL5HGYBpx5asewQtakNtJbF1Kv8iRQ6o+Tgca7ksU/Mx0dtYkhKIaRu%20QgK6lXTcrT7qehn4NuRA4+yR3Mewt1R/JjpR63FDwSP6zQacXj+PTn5T74c+o+maU2hl0pbjha1A%20tN6aChmG4/jsc2UICJDkp4flMl82IH4lHb8ooZw1MPx7GsyMo4tch19UhCXHu8QVDtJVt6apT0FC%20W27joRe+mYMn6o6rWXyUspP41adbdKDTwGPaZhDH4yXNckPSZBUxFUXHnnEukb1DTXzoOiYH2U5t%20klsvZTNP4qAv1OxQouvrSdNiidnb3X+NqgdW4b7ccQ4fCbi4SAhktjaZCwFPKH8S7XNSLNQKBQKB%20QKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKAoAgg9PG9BTfbo4No5iJjn2Hnmpiy+GLem6U2SajM%20SiJiVyqUlAoFAoFAoOdc7wmSyHKsctvE/WQkpCJKtm5DiFkpKHT4BF9wrjc3XunfW1K9Ief9x075%205FLa65iPX/NXuXe0+Rxm+dx4GVB+ZzGE3ca8+0r8Q/htXZegURp1DgVtuCglK0KFlJUOoUPA0HsK%20bSoF3d2xqopF1W+ArTvvetJmkeUtHJ2XpSZpXyt8Ht6ViXQj9PLiraO7h0Pxrm8Dm7tlpi9Z7/qc%20f2z3HfttMbKT37/B4rsO+UCgm/b/AEi5Mf8A84T/AOzTQWqgq3uLAysnjynsStxM2KoOBLZN1I/E%20LDqarcqk2p07u17DyaauREXx426dUT7e5GXioycdyFx1iXOIehiSSQQrQpCj46dK1ca00jF/Xsv+%209aKcm33OPET4dLRH7/ou86BCyEVUWaymRHXbc2oXGnQirtqxMYl5rVtvrtFqz42hQeS+1eRyQQI2%20UDjbBIisSE37bZ12b76i/haqO3hzPaej0/B/uSuvren4p72j1n5w3+OPSOHwm8TmmQ3EKyprJNas%20b3NSlX7tZ65nTHjbt8Wjm1r7jf7mqf6mOtJ9cfBdW3EONpcbUFIWLpUNQRVuJz1edvWazNZjEwh+%20T8ph8djsyZjTi2XlFAWgXAUBfX7a1bt324zML/tvts8u80raKzHxe+Mcmh8igrlxW1tBtfbWhwWI%20Ph+0VOndGyMwx9x9vvxNnhectxzJMB/6ZhK5cs9I0dPcc/ZW1QTWP4XyjJFK5jiMTEOpbR+a+oeV%20/R2z+2gtmF4Rx7EOCQzH70zxmPnuPf7xoM0niOAlZdOWfipXLSnbc/KbdFEfvC3Wq1+JrtfzmPxK%20mzg6b7PuWrE2TFWVsoFAoFAoFAoFAoFAoFAoFAoFBoZ9rJPYPINYtfbyTkZ1MJwmwS+UENm/hZVq%20D85+3mPyz3JOOR8E+2vkOHW+5ydSzuAQ6taF7lC28qvpVDj1vGycuZx67PuzMv03V902tk3pjMB5%202G2l2ShO5ttZ2g2Ouv2UlNYiZ6ovivIX861IlhkNwkqS3HUT6lLSCHgoeG1egrGtstu7VFMR6/4w%20nayaSgUCgUCghuV8QwXKcUvG5djusqIU24mwcbUNQptVjtNBQMrx+bgx9Fkmg7x/YWU5FlJAaa0N%205QuddwTdy/3UGq0v6+CuY5IbQWwuDNmJUBElFnRPcH4934VAiknZCYOa1zDj0jD5hhzHdoIYz0V3%20Scq5IS4yg2Lfwc1HwofJv8bx8ljBDATnQreXMe7NI9TrixZH1JPVzaobV6bjpbSg2WWWUYJbCm1I%20jBtbL0e29yLJauW3W7W3N/Kojw1NCGnncyhPGJecbeaL82EtDkbcN0ktoLJUgf8ASend9mlD6uaQ%20slAcYiyZbUlvYy0I8P6dR7ZCBdatfUo0GHkWfxTeKKlCSpa3UBlpTKklxe4HanXU0S3zk8f9Q7Jk%20iUqU6TtR9OqzKD+AC/XzNENPKcgxrMzEhtuQ8+ZIW2x2FBSgnqrqfSL0MtyNPxDW9bs9lUp0gvLe%20/LWk3PoCSTtSnyoS01Z7FozshiPMjrfdiNAKUodts716ufEeAoN2NOwrN/8AvNp5123elOLBWrXp%208EjwFBjwj2RzOSnxOKwV5mS9JR/nGdIjKO2lJUp2yhcHwoOocZ9jsg4gK5HN7LBUVOwYirrdP7zr%20/wCIHy20HUcFxXjuBaLWIgMw0qACy2kAq2i1yaCVoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFA%20oFAoFAoFBCc1azbvE8q3g1hvLqjOCEsnbZy2hv4VE9uiJzjo4p7Pxp6+WwHePutuRokZTXJio3/P%20KlfH1KuetU+LF4tPk5/Di8Xt5P0MSB1q66KJ5HmXsRB+uDQdjNEGSb6pR5geOtRacNmqnlOGfBzp%20E/GtS32w0p4bkJBv6T0NInKNlYrOIb9SwKBQKBQKCmc09s8VyAqmxSIGYAsmWgXSq34XEi24UHHc%20pCzfG8h9Nk4SBIJswV6svW8W19L/AAqjz+Ps2UxS3j/FzfcuLt3Uxrt4/L4tdyQ7JcLy2UsFQ1bT%204GseBp3a642TE/L/AKsfbOPyNVMbbRMfD1/W+V0HUKBQTPCHUMQ8s6u+xuQVqsLmwbTc2qJnDKlZ%20tMRHeUpjeX8ayT4jRJ7a5KjZLBISsnrom9aqb6W7Sv8AK9p5OiM3r+H4x1hMVuc5rz8fCyEZUaay%20l5hfVKh/UfCotWJjEtmrdfXaLUnFoRWFw+Zxc1bP1ok4Xb/l2nBd1v8Ah3X1H3Vq165rPf8ACv8A%20M5uvfSJmuN3raO0p2tzmPLjbbqFNuIC21CykKFwaJiZicwj8Xh4GEYeDDriYqju2PLu20PJGgsKw%20privZZ5XMvvx54zHr6z9Wtl8IeZY13FQoTsxtZBTMT6GUKBvcOkKTf4VGzXF4xKeFzL8bZGyneGS%20P7NcnwOMadgyhOaRtVNwSD2w8Ei1kundr92taY0zTrT9TpW9xpyvw8mOv8to/l/zh0LgWe4jMjKg%204plvHZCOSJmJXYSGVp0VuSfURfxrbr2xb6/BQ5fAvp6/m1z2tHaVuraolAoFAoFAoFAoFAoFAoFA%20oFAoFAoFAoPzn7OTIUD3W5jOmvtxYjbR7j7xCECz5OqjYVo1z/UsraZzttHql/cv38xkrHy8DxQL%20kTJQ7IyQ0QgXBWW02u76L22msNnJrj8PWXpeF7Lst+PbjXrj/V6/RSPaKLzzkWb/AEfEcmyLHHYV%2015Z2wtuJ/kjek7VLv+yp1Te3foz9y18fTP8ATiJz2/6v0tguOQ8IX24V24bgb7cYfKgoTZRHxWdT%20W+tcOLt3TfrPdLVk1FAoFAoFAoPi0IWkpWkKSdCki4IoKFm/bKIzkns7x1ltvIOJJfguk/TvK8FA%20XAQ4PBXT4UREKwtqM7l46sjHdj5JxJhSNwtIRIT/ANnW0uwStJUT6tpBomZYJmaMDkKMdlmi6c+y%20QWoLSnC46zcgutJKlsqcuE3J+ymBpYJvMxubzMKsu47CZFCJ0cBaXpSXVHtLj7wNradrd7KTfWh3%20avF8HHwWB5FEbTaPkRNfgvuncU7AsLjhR0Bukrt8aYMquiZ2YkQbS5JWy12Y6R6lHtjU9bAeJoYa%20eWbfTj3HZLwflKW2ApIGxtJWDtbT1++9BJ5CcpqW4222ZMlaj+ULWSn99xVtBTBhputuMzcWp1fe%20lrlp7r5AI+CUW6JFCGaROCStpooMlBIdcWE9thJ6qcUR/RQiHvAcezuTyj5wOLdnNzI7SF5NxAaY%20cWlaipRdUnYdD4UHVMF7IRlIDvJphmuGxMKOlLUYC3ykEKUr/eoOkYrEYvEw24WNitxIrQs200kJ%20AF70G3QKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKDFL/wCzO/2Ff1UH539i+RYT%20jkvl2Qy8pEOOZB27yAVWV+EeNVdV4ibZ+LVwtd9l7VrGZyw+5HvHJ5pDcwnGY0pvHoXvmTmQouqb%20T+FKUi49Wt6jZyM9KdXqOJ7TXXi3JtFY/wBPqkfZPjPLuRtuTM7lpznFI57MTFSbJDxTod90hVkk%20edbNcWmPxKPN2a9d8aojPxd2xOOTjoaYqFlaEE7L+A8Ej4Ct0Rhzb28py3KlgUCgUCgUCg0sxhcX%20mIS4WRjpkR3BYpUNR8QeooOM8u9s8xgCuXjQvI4calAG6Qyn4gfOn7BQVFp1t1AW2oKSfEefkfjQ%20e6DYZx8x5hT7aLtJF91+oHlVPZz9NLeM26qG73PRrvFJt1/d9UnwdKVt5VpYuhT1lpPiCgAircTE%20wv1t6xKBx/thlMTl3srBlMOrQ6p2JFcQrbZV9LgjWxsKo14c1t5RPV63b/cWvbqjTetvGYxbr+5b%20sHyiPkXFRJLSoOUbNnIb2ilHxU3e25P2VZ17s9J6WcXl+2zrjz1z9zVPrHp/uTZBHUW+2tzlxL5R%20LBKnRIlu+6EKPyt9Vq/sp6mg2oGG5Rlikwof0UZXWXNBSbfBn0roLPi/bbEMuIk5NxzJy02ILx/L%20Sf4EJtp9t6C2NMtMoCGkJbQOiUgAf0UHug1UYrGonqnojNpmqSUKkBICyD4EjrUeMZy2fdt4+Ofw%20/BtVLWUCgUCgUCgUCgUCgUCgUCgUCgUCgUCg/Hfu5wnkfDuWzMnkI78/i054yFSI3pCUr07azqlK%20t37+ldHj8DjcnXNZnw3fH0lu4fMtxL22UrWbWjEzLs3s/J9kZGIRkOPfTNTI7QTMVNUEyEX9SioO%20EJsCbbki1UtnAtot42riU7uZs3/ivabOqQYuNbSqRAaaQiVtcU6yEhLmnpVdOitPGtbQ2qBQKBQK%20BQKBQKBQQfLOG4TlEAxMk2oLSd0eU0ooeZcHyrQoeKfC9xROXP5vHZ2CYOLmtf5J1O1jPNJUtfeT%20q27JPqLewm5V6U0Q1cbLj5qfPdYUj6iLGiqW+FjttSWHypJLl7bF2SVG9CfVX35b2b9vctDaZcXk%20UmQt1bRCWY7yFqcKu8RsXvSPlSb7TSYTPRT8enkLcSO67FjvSnmGg7I7qRdIQLJSN3pFqIanI5uf%20RA+nZgx/qVrQUkOJIaBULKX6ulBIOuZOApzvMRW1OLKn5Dr6E9xXj1UNPIUEphOG865WuMrGQU4t%20MZ8OKyksK7Kmz/0Td0qUR59KDqfFPZHBYxLL2ZcOVmN+rar0sBfW4SPUf7xNDDo7TLLLYbZQlttO%20iUIASkfYBQe6BQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQeXEBbakHooEH76%20D8he4XtlyLgvJXsxIx68/wASeeLywjcVISo3UFpSbi3n0rqauPxeTr8Lfg2x2n0n6t3H5u3jRb7X%20Ty7/ABdj4D7sezDuCbkwFxsQtZQy9EdSA4FGyUgm3qHxFVtvt23TMxNekesdv1tVt0362nMusRkx%20kspMYIDChvR27bSFa3FtNaqIZKBQKBQKBQKBQKAQCCCLg9RQc49wPbTFSGX81jFDHT0Dc8lKVKZd%20H8TadQfimsL3isTM9oYbNkUrNp7Q5e4luCw3LcLMzcQlUZDgBCvtv/RXn+R7nbdmuqfH+LyvK94v%20vmaaZ8fr3lpv/wCakmQyHIbKx6o4V6SPIjwrPi+1TfE7Yj+M/Vt4fss3iLb4jp+ufqneBBKF5RtO%20gS8NOv4U13aUikYr2el1660rFaxiIW2s2aq+4uBVkcC7LiIV+qQB3YzzWjlh1TcdQar8nX5VzHeH%20Y9j5f2t8VtP9O/Sc9lQ4NzJ/ERJK819U+Htq0hYJ2nx9VrerwT1qpo3Trj8eer0XuvtmvmbIjRNI%20tXv/AIh0zgTU7nkOROZcVisaw+Y9gLyVkJCt11ApA9XlVul421zGY6vI+6e17ONeKWt179HSsLwv%20j+JSCxGDsj8cl78xaj5+q4H3CrCmnKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQYpcSLMjr%20jy2UPx3BZbTiQtKh8Qbig/MPuv7MxcHyhC+L8flS8Zk461SxGcUOy8pw/LqNCPwm4r1HtPutK18N%208+vTMZ6fD4tOykz+VcvYnM8+xjMbh+Xxa0xo3ccZlyV/nfTFRtYX1CSoJ6VQ910ceLTfTbMWZ689%20pdxrjMygUCgUCgUCgUCgUHlxtt1tTbiQttYKVoULgg9QQaDm+b9pMfFysrPceZCXpQ3ZHErW4I8j%20YPSQEkbVi2gvt8xQhXchkYLUTJXP0YyMR9qRBWA0pmW20oBXbsm6VoSEBVutDDnKpZaZiwmVWmKY%20Z3LSO4pv8sfK2kEqV5CxpgWTE+1XMs/DbaZj/pUJ9wOSMnOsZDiUnXa0nVKiegUm1DHxdb457UcV%20w61SH2f1Se5fuSpYC731Nm/5Y/3aC5IQhCAhCQlCRZKQLAD4AUH2gUCgUCgUCgUCgUCgUCgUCgUC%20gUCgUCgUCgUCgUCgUCgUCgUCgUCgUCg8PMtPtLZeQlxpwFK0KAKSD1BBoPzrz/2Bzszk2RVx3GwU%20YGaEqS2r0Lbd2jcpBGo9XhXpfbffKaqRTZE2iP8AHq1X1+U9Ojofs4xzeHDdw/IJbMhrEIRFaS0L%20nQWT67akBNjrXI506ZtnVExEs6durpVUWRQKBQKBQKBQKBQfFJSpJSoApOhB1FBxvk3C4EznO1GI%20UmA6nY+y3vSFuH5XUKT6U+PjXA21tXkxNdfR5ffW9OZE01dP2ShOWcEzvGVqeUFZDEE+iYgXcaHg%20Hkj+tIrvvUNLgkuOmTmlqdQloOJO8qAHyp86Cdk8iZSrtxWlvKuLuqSpDaQdNxvZSh/ZrRu5OvV+%20ecK3I5erT+e2Fvxnt6uayiZlsh9S0tO9uJGu2wbjQlfpc/prbW8WrmO0t1NkWr5V7SqXEeENZ1nN%208ey62hFDwQ6WT+YlbJ3J7SjrbXrXC4UXvtvF7RMf47OR/b3O36OZfZ5Rb07/ALkpG4Pzfg2SD3En%20U5PBFBVKx0lW1wqA/ARYE6aV0o0W1zmnb4PoF/dNHM1+PIjF47WheOLc4xOf3R0hcTKMgfU458bH%20kHx0PUfEVY17Yt07S5HM9vvp/F+ak9rR2WKtqgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUC%20gUFZZ49n2uYSMycgh2DICWxGWgb2mkpG5ttQHRSwFHWts3jxxhjjrlZq1MigUCgUCgUCgUCgUCgU%20Fd5jwLjfLcc9Cy0a5dAH1LRLbwt0/MRZWnlehLX4l7Y8O4shBxsIKkpSEmW+pTzpKRbducKrH7KC%201UCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUAi4I89KCDwPEoO%20ElSHojrpTJWtxbS1lSd7ityiLk+NZ32TbuiIwnKwSUCgUCgUCgUCgUCgUHxaEOIUhaQtChZSVC4I%20PUEGgrMX204XFnPzWsagOSXO862blorsBo2fRbTpag2s7wrj+bQwmYwUiP8AyuwpTNh+6dlrj4VV%205HD17vzwp8rgat+POM4S0eFHjwm4TKdsdtAaQm5uEgW61vrSK18Y7LNNcVrFY7R0QmE4Hx7DTRMh%20NuB8BQ3LcWq+/qSCdT9tVdPt+rXfyrHVR4/tWjTfzrH4liq66LXGOx4mmcIrQmqTsVK2J7pT+6V2%203W+F6jEZyz+5bx8cz4/D0bFSwKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQ%20KBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQK%20BQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKB%20QKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQ%20KBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQK%20BQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKB%20QKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKDy8tTbS1pbU6pCSpLSNoUogXCU7ylNz8SBQamIzOO%20y8QyoLu9CFqZebUChxp1s2W06hVlIWk9UqFBu0CgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCg%20UCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUFY5P7iYHjmcwmFn%20tS1Tc/JRDgqaYWWQ4s2G99WxrTqQFFVvCgs9BH4zOwMg/KitlTU+EUpmQngEvNbwShRAJBQsD0rS%20Sk663BsEhQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQVjm2c5Rj14eDx3GiZL%20y0v6Z6c6247FgtBtS1SH0NFCiPTtSN6QTpuFBB8C9w8tleccj4dlXMfOk4NqPIay2K3NsuofB3Nu%20MLdkqacbVoR3VX66UEdLyy+Pf8Q8HGtHbB5tiVqfYF7Gfjd6kv8AkCqMnYfPanyFB1SgUCgUCgUC%20gUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCg%20UCgUCgUCgUCgUCg5N78uyWsl7dOxWPqZKOTxizH3Bvevsu7UlatEgnqaDI37je4fHuf4jj3OsbjP%200nkzi2MNlMQt8hmQhO4MSBI1WVXACkpT9nWwffdnLq4tzvgPJWSUpn5A8dyiU3/NjTwFN7wOvZdR%203E/f50HVKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKDl3vUrkacjxIt4yfmOG%20fVv/AOrMdi21vPupLaREDjTXrcYDm5TqPlUBZVBHcOj5eJ715Wajis3GYXJYeExAX2W247KGHFlQ%20dUg9ptetw0kqV0uBrYNrOY9/Nf8AEfxtxgkx+JYaVNmrGqEuZLuRWmlG2ilpClgeSaDrFAoFAoFA%20oFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAo%20FAoFAoFAoFAoFAoFBzX3pxWakL4dlsbjZGTZwGej5HIx4aUuSBHbQtKlNtFSS4QVD0p1oPGagy+f%208u4pKiQpkHj/ABqWctLm5CM9BdekpQUMR2WJKGn9CSpxZSEWsAVHoGp72Y5/P8m9ueNRiS6vOozE%20kJ12RcYgqdcVodv84ISTpuUKDrFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFA%20oPLgcLaw0oJcIOxSgVJCraEpBTcfC4oI/CYCHihKcbUp+dPd+oyE12xded2hCSq1gEoQkIQkaJSK%20CSoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoFAoF%20AoFAoFAoFAoFAoFAoFAoFAoFAoFAoIrH8fYjZWTmZDhlZaUhLBkKG1LUdBKksMoudiNx3K1JUrqd%20EgBK0CgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCg%20UCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgU%20CgUCgUCgUCgUCgUCgUCgUCgUCgUCgUH/2Q==" height="396" width="848" overflow="visible"> </image>
          </svg>
        </div>
      </div>
      <div class="fig"><span class="labelfig">FIGURA 2.&nbsp; </span><span class="textfig">Modelo de elementos finitos: a) Condiciones de frontera b) Mallado del modelo.</span></div>
      <p><b> <i>Comprobación del modelo.</i> </b> La comprobación del modelo se efectuó de forma cualitativa y 
        cuantitativa. Para la comprobación cualitativa se comparó la geometría 
        de deformación del suelo obtenida mediante la simulación, con la 
        geometría típica del modelo analítico de Swick-Perumpral (<span class="tooltip"><a href="#B22">Isavi, 2015</a><span class="tooltip-content">ISAVI, S.: “Assessment of some of models for predicting soil forces On narrow tillage tools”, En: <i>International Conference on Research in Science and Technology</i>, Kuala Lumpur, Malaysia, 2015.</span></span>).
        Para la comprobación cuantitativa se comparó la fuerza de tiro obtenida
        mediante la simulación con la calculada empleando el modelo de cálculo 
        recomendado por la ASABE (ASAE Data D497, 2006):</p>
      <div id="e8" class="disp-formula">
        <math>
          <mi>D</mi>
          <mo>=</mo>
          <mi>R</mi>
          <mi>x</mi>
          <mo>=</mo>
          <msub>
            <mrow>
              <mi>F</mi>
            </mrow>
            <mrow>
              <mi>i</mi>
            </mrow>
          </msub>
          <mo>(</mo>
          <mi>A</mi>
          <mo>+</mo>
          <mi>B</mi>
          <mo>∙</mo>
          <mi>v</mi>
          <mo>+</mo>
          <mi>C</mi>
          <mo>∙</mo>
          <msup>
            <mrow>
              <mi>v</mi>
            </mrow>
            <mrow>
              <mn>2</mn>
            </mrow>
          </msup>
          <mo>)</mo>
          <mo>∙</mo>
          <mi>w</mi>
          <mo>∙</mo>
          <mi>d</mi>
        </math>
        <span class="labelfig"> &nbsp;(4)</span></div>
      <div style="clear:both"></div>
      <p>donde: </p>
      <p><i>D</i> =
        Componente horizontal de la fuerza de tiro requerida por el implemento, N; </p>
      <p><i>F</i> <sub> <i>i</i> </sub> =
        Factor adimensional para el ajuste de la textura del suelo según (<i>i</i> = 1 para textura fina; 2 para textura media o 3 para textura gruesa del suelo); </p>
      <p><i>A, B</i>, y <i>C</i> =
        Constantes específicas para cada implemento; </p>
      <p><i>v</i> =
        Velocidad de traslación, km.h <sup>-1</sup>; </p>
      <p>d =
        Profundidad de la labor, m; </p>
      <p><i>w</i> =
        Ancho de trabajo de la máquina (m) o número de hileras o herramientas. </p>
    </article>
    <article class="section"><a id="id0x19cfe00"><!-- named anchor --></a>
      <h3>RESULTADOS Y DISCUSIÓN</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <p><b> <i>Simulaciones por elementos finitos.</i> </b> El comportamiento de la fuerza de tracción a lo largo de su recorrido fue analizado mediante simulaciones por el MEF. En la <span class="tooltip"><a href="#f9">Figura 3</a></span> se muestran algunos pasos del proceso de corte del suelo. Se puede 
        observar que, a medida que la herramienta de labranza estrecha avanza a 
        través del bloque de suelo, grandes desplazamientos ocurren, tanto en 
        sentido longitudinal, transversal como vertical, venciendo las fuerzas 
        de resistencia del mismo, produciéndose el rompimiento del prisma de 
        suelo. Coincidiendo con otros autores <span class="tooltip"><a href="#B4">Bentaher <i>et al.</i> (2013)</a><span class="tooltip-content">BENTAHER,
        H.; IBRAHMI, A.; HAMZA, E.; HBAIEB, M.; KANTCHEV, G.; MAALEJ, A.; 
        ARNOLD, W.: “Finite element simulation of moldboard-soil interaction”, <i>Soil and Tillage Research</i>, 134: 11-16, 2013b, ISSN: 0167-1987.</span></span>; <span class="tooltip"><a href="#B21">Ibrahmi <i>et al.</i> (2015)</a><span class="tooltip-content">IBRAHMI,
        A.; BENTAHER, H.; HBAIEB, M.; MAALEJ, A.; MOUAZEN, A.M.: “Study the 
        effect of tool geometry and operational conditions on mouldboard plough 
        forces and energy requirement: Part 1. Finite element simulation”, <i>Computers and Electronics in Agriculture</i>, 117: 258-267, 2015, ISSN: 0168-1699.</span></span>; <span class="tooltip"><a href="#B1">Arefi <i>et al.</i> (2022)</a><span class="tooltip-content">AREFI,
        M.; KARPARVARFARD, S.H.; AZIMI, N.H.; NADERI, B.M.: “Draught force 
        prediction from soil relative density and relative water content for a 
        non-winged chisel blade using finite element modelling”, <i>Journal of Terramechanics</i>, 100: 73-80, 2022, ISSN: 0022-4898, DOI: <a href="https://doi.org/10.1016/j.jterra.2022.01.001" target="xrefwindow">https://doi.org/10.1016/j.jterra.2022.01.001</a>.</span></span>, puede observarse que el modelo simula el proceso de corte del suelo de forma adecuada. </p>
      <div id="f9" class="fig">
        <div class="zoom">
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9TRPJhHie%20e+cer/OuWyPbf3zraxcdIsbYujjp++KnUu92727jYuqXdLq/2Ffcy5S0RogjAHhHeeiv0aHINaT3%20DqUPGzL228vduumXm33MlndMNWTxEtdh2ELRkY9u9HtmlJGSuyjwO2cB+ZzkW1NZZ8mg/mtoMG3j%20DpmA6l5dXUuL3P2dGfmsPtfR/sJtrOTdJHfuG+qnCeXRatp3BjpgBrt5Py3gnpR1K+5cPm7Zfxml%20ci1UmRuxlwNtUA2BAEAQBAEAQBAEAQBAEAQBAeM/m1vb6T1Cit5ZnOt4IALeMnBgcGlwHtK7j295%20LDcVRy4sj3nVnDDkVby4M1H6Behgp6Y7NjX8oZ+wL5vk/wByXxJiVEb6tB6EALg0VJoO0oDWOQ89%202jafymE3V0fhij7e8rS78e7tXEpNy36xiaPzS6I0XeuVbru8lJJTDbVwt2Gg/rK3wbSrV/5Hzjdv%20cuRkuifbDov2kHcw1DdNABgG9pK6C20tDnoT6kZNZlxOkBpBwwPvqpcblCdC/TjqWW7YKUNNIxAA%20PxLJ3jY8szILV7WsDanPDoT1WmU0Rrl1NupmQwP0eIAY5Hr7VqlJVI0pqpJ2O67jtx12kz2AZRg+%20H6FFuWITfmJ+DvGTjtdk2kuXI2Tb/VqCBoZu0Bww/UxfD7wcVAubPJvyP5H0Tavddu8u28uyX4G8%20bRv+z7xbfqdtumXENaam1GPsNCqq7ZnbdJKjOqs5Fu6qwdUZ61G4IAgCAIAgCAIAgCAIAgCAIAgC%20AIAgPK/zlMP8z2V+p1P07gWjL+0OJXX+2/7c/t9kaLz5HmldEaT0/wDJaW15OKjUP02HWh1rjvcS%20/rL4G+yuJ6fXPm4IASBnggNf3Hmuz2rnxW7/ANXcsOl0MWYJ7aqp3HebGJpN1l0RKt4c5KvBGs7/%20AL9u99G5jJ3Wsb20c2I0NCMQ6vauFyvdN+/KkfJH8/iVW4WpUaT+40KDarh955eLY2OqTjUrXc3F%20qz2151PntraLk8jpTiT+4885Dxe1ZJB/t8TX/m28lS5jKZNyVlse/wB3ucbj7on2nZNlhfgoybjL%20tNp4f6xcU5E9tq+T+X7kcDZXBAdXuIwXcWMy3cVUzHcNiyMZ1a7odUb01zXCrSCO0KUUp9QBAEAQ%20BAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEB8c5rWlziGtGZOAC8bpxBq28+oW1WQkZZRvv524fl4R%20A98hww7lS5nuDGs6V7pdEVWXu9u1Wic5eH7zn27855HueqO4k8i3Na29vVoI7HO+Jy5nK3q/kKkX%202R8P3nGZfuPIm6NdseiIgOMjdLW6B2AKgnDsdW6kJ35XVSlDTfWa0MPpxI9xxdeRYe5y+hf9aX+/%20dZL/APTI6L2/hO1GUnzPOq+3nTHQ/l9/6ycY/wAS/wDuZFTb9/x/mjZa4nvtcOSQgCAIAgCAIAgC%20AIAgCAIDW/UkuHAeQFri1wsJ6ObgQdBUnD/vQ/mR4+B+dE7nOlcXGpJxJX0y86yISRMcIa13M9hD%20nBg/mFqanEYTN7FWbn/x5GcOJ+ka+eIlhegIAgCAIAgCAIDGv9ysNvt33F7Oy3hYKue8gCiyhByd%20Eqg43zn5k9q297rPjVv/ADC4BI/WPwgBHd4XFdPge1r11d1x9i6cyDe3C3BtLVnB+ZeoPMuWSSO3%20q/e+1e6o2+BxbbNH8BXcbfs2NjfRHzL+J8SruZ856J0RqbmtDaNADRke09gV2m6mhPqW3MNSHYUy%20p0WcWZp9CgxuII1ZfCftWR73Hzy8adB0ORQ97hoFKnAA1Nc8MkFT60gEVwzIpkV5UMuW8r7e5bcW%20sjre5jIcyaM6Xg9CCtd21G5GklVMyjOUTrXDPmU5rsUcVpvDBvNk12Mr6/qdP8ZNP2Lkdw9n2rjc%20rT7H05E61nUVGeguDesXCeYRtbY3jYL4/HYzHTI33mjT7lw24bNkYr88dOpPhejI3gEEVGI7VVG0%20IAgCAIAgCAIAgCAIAgPFfzYU/wCZRxqfIZUdB4WruNhX+3WlNfvI97icUOSt5cGaj9AfQotPpjs2%20kUHl/toF82yX/Ul8WTI0pob8tJ6a/v8AzbZtmd5UrzLcUqIY8Sq/M3OzjrzPXoV2dudrHXmdX0Ry%20/kXPd73ecNZIbS1aNJgjPxfxLlcnert90j5YfmcFuXuW/erGPkj+JEQOAAI69qtNtuqKTRy09TLa%208EDHNddjZioqsjSgXA/6FbW8tcDU4M+6x2LcsuNNTHtYDmAUAoFl+qi2etM+6wvf1ETyh9BqcFnG%2053PQ8ofHt1AeItHWnVbO5I9TLH6OMlxJwrgBlRZq70NnqsuWjBY3AntJHW8pwBYad68n51SSqScf%20cb9p90JNNG17T6k31tSO9Au4QfFIP7QN/YFWXtsT+nQ6/bveV2FI3l3LrzN32rleybkQ23uGiU/+%20W7ByqbmNch9SO6xN1x8heSSbJdaCxCAIAgCAIAgCAIAgCAIAgCAIAgPLHzlGQbpsoGnyzbOBJzr5%20hyXX+2qdk+v2/E03qfM80LojQeoPktrTk/ZW29n31xvuGvrL4EizJ0oenXvYxpe8hrRmTkqA2kNe%208r22LUy3kbcTAYBpq0HsJVBuHuLGxtK9z8DG3OM3SLNX5BvN7eROH6nyY34m3GFR3HNcNm+58jJd%20F5IeBd4WPHjSpB7bBZwMD2F8fl1LsAW1ONKnHFUN+5Ob11qWV+stKJkk029wQGva57sdFcVG80So%20u4b5o+CK0iq8uYwCoLq9R0XrnKWhrtbelLSJzb1A5bBDEILSZtxNXD8bfaAuk2rBbdZKh3ux7VV1%20ku1fgcmnnllldK5x8wmpcMD+xdXBdvA7n0Y9vbTQ3XiXrHzLjuiJtz+tswW0tpzg1ozDSMcVOx86%20UOOqOa3L2njZDcorsm+h3fhnrbxLkbo7aR5sL9+Bhno0FwGOg1NVbWcyE1xofPNx9uZWLq13R6o6%20E1zXNDmmrTiCFKTTVUUJ9XoCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAxtx3PbtttnXW4XUVpbNwd%20NO9sbAT01OIC8bS4mdu3KbpFNvwOS8u+Y/YbF7rbjts7dZhUG6fWK3B/dqNb8ewU71X3txhHSPmZ%201+2ezMi8u67/AE4/j9xoc/rvuFxFI/dtcodnHENDB+61tfrXK7haycuX10j0XAvL/s+zbjx08TSJ%20/V3l826vuLQst7M+CKxLWmJrBlWtCT2lZR2THjb7ZKr68yNH2vh3Lfpu3X/y4MlLb1aum0de7eK/%20edGatJ9nRQ57HH+CRS3v+tcKtfMl95JQ+r9uf7Pb2OHXxYqNPYZc5Gy1/wBYYr+m4a36o+oce+8P%20dtwsv05/URy6w6o8IIou8/622l2NxlPur/SkQN79oR23H9SM+5OSVDiq+xnJGyenHIZ+Oc42je4G%20NklsptYjfXS4FpaWmmIqHZqn39P9JNrVx1LHacaN/Jhak+1TdK/ke8OA+o2wcz27z7F4hvox/tW3%20SOHnRY0rQfEw9HDBcBZvxuKqJ257Vew7nZcXwfJm1LcVoQBAEAQBAEAQBAEAQBAa36k/5A5B/gJ/%20/AVJwv70P5keS4H5zy/2jvavpd36iGTPCGOfzPYWtFXfzG1NBnQTNJVdua/28jKHE/SNfPESwgCA%20IAgCAIDD3PeNs2u2dc7hcstoG/E95/oxWy3alN0iqsxlNRTbeiOTcw9e2sdJa8Yt2z01NduE4Ple%201gBDqjvXR4Ht2U13XXRdOZR5e/W4aQ80vwOKcn5Hv2/vbLu9/LfN+41x/KbTo0YH6V2GFgWrH0RS%20f4lNe3K7efmdF0NcuIqvaw/2ZBDR1BAqrSEtPE1wlpXmYD2HTRwwcKj2KQmSUy0YiaEkaup7B3LP%20uM+4tGF2kUbljQ9fb3rPuVTNTRT5bdQ/B29adT7llV08T3uKfLoDgTjpI645EI5NmXcfDEAa01Ef%20CelBnVe1qO4oLccHDHGpy9i91S0Mqnw/EMPf2LJ8UelJIoRqNSfq6LxKvM9PjZdEjZ4y6OZgDmSN%20NHDHovZ24yVGqmcXKPA6Zwz5hefcdlEd7cnedvYA0suDV7QOjSNK5TcPaNi6n6Xkl+BOt5jb8x6G%204B67cH5e1sLLj+X7m4gfobkgPPe0jw0964XcdhyMV+Zd0eq4E+1dU0dFa5rhVpDgeoNQqU2n1AEA%20QBAEAQBAEAQHiv5sPM/5lnVp0+QzSRn8La1Xb7DT0NOpGu1qcUORVxLgzWe8PSXkG37Z6X7KZnap%20HReGNudQAvlG77lZxZydx61enM3XciMEjJ3fle6bhqjhrb27hRzW5kHtXz7cfdV266WvJH8WQ7t2%205Ph5V9uJql1ZBwAaBXOpJNR7SqGN9t1bqcxmYdftxIS5spGuLgADXxDsUqFzocvk4ck6lhsj4ziK%20dys7GY4ldKDXEvi6IoaYdPYra3urMHAui7HbRWMd3pwdDHsKxc164qXHdW+Z52F1shJU+zluTMXE%20uBwVpbyUtWanAq1qWsxOhh6Z9Bx7+ilQk6+JgVhS4GJi3EnjdTs0kHPtqpMEboR0I+a9DZC0gkg+%20I93ct8behMhj1VTGk3TR4X0bq7yDT3LYrFSTasSi6xbqiU2z1k3jZpHRul/W27GaWW8+Bb2ULcVE%20u7DC5r9L8Dr9s3jJtRpPzr8joPB/WvjHJ75m0v1WO8PaXNtpaASUzMeJqqHcdouYq7pNOL6HaY2Z%20C8qxOhqpJQQBAEAQBAEAQBAEAQBAEAQHlj5yZAN02aPSSTbOIdTAfmHquw9tJ+nN8iNefmoeaF0J%20rO2/Lp6kbbwm05C+eB897diD9NGK6Do1V1HpmuG92X/RnGT17uHyOi2HZbuc2oUUYfU/jwOt/wDO%20Gy318DNwuDaRv+K3Z8INOr8CvkW7ZWbeqo/R0Rd5vs6fY0taEqzfNhhgfOLhro2YucyhxXIyx70p%20UpqyosbBdjLt7aNmq736rbfH5Zs4fMMbsWPFCD2qzxtim69zoddhe250pJ0NWu/VbcSCyCBrTjWS%20uZPWncrSGyQ5svLXtqHGTIh3qDvpoDJQAkgg0NTnkpi2y10J62OwjDu+W7xdM0PuH0Di4UJGeFMF%20tt4VuPBG+1tVqDqkiHfNI52pxJd2nEqUoosFBJULZ7VkZUFR0QVMix3KSznEkYq4Yg5Go7CsZ2+5%20EW/ajcVGbpsHrVzXZrhpimE9nWr7OTEO/rkFwUvEyZWaLijnc72pj34unln1O28K9dOK8gcy1vHf%20y3cHf+XKaRE9jXmlVd2MyFxdGcDuftvJxXWndDqjpLHskYHscHMcKtcMQQpZz7TWjPqHgQBAEAQB%20AEAQBAEAQBAEAQFi+vrOwtJby9mZb2sDdc00jg1jWjqSUPUm3RHHtr+Z/iU++XVne20lvtjZXMs9%20yYdYewGgfJHQOaDnhVRP1kO6jL9+3Mj0lcjRt/w80dCn9S+CQ7MN5O82z7B2DHsfqe4/hEY8dfct%208r0Eqt6FZa27IuXPTjCTl8DlHMPmUmkY624rZmGop+vuwC4fwRAkV73E+xVt7c1wgjtNs9jzfmyZ%20UX+mP7zju/cm37f7oXW830t9MPgMrqtb/AwUa3+qFV3b87n1M7vB2vHxVS1FR8ef3kZVaiwqYN/K%20HPEYODcXDvW+1GiqVWdcUpKPQwmvc00zAW5qpWxm1oZEU34TQ9i1yiTLV7oXqxPNXsBP4sj9IWOq%204G/yS1a1Ld9ZNvbR1uZnNBxBd4sfrVtsm7vAv+qoqVU4v4Pp4ldvO0rOx/S73HWqrrr+412fiu5x%201MWidvTScfoK7vG934dzSXdB+KPnWV7JzresFG4v/F/sZhttdxsLlkroHtfG7UKiowPaMFavKxcy%201KEbkWpqnEplh5eFdjOVuUZQdeHQ6Jx7ku6bZf2u87RO61uoqPilZnj8TXA4FpyIOa+QXbc8a641%2080XQ+zS9Lcsdd0a25qvin+yh6k9K/WPbOW28O3biW2nImtOuHKOfT9+I9p6tVtjZcbip/EfMd79v%203cKXcvNa5P8AedJUs54IAgCAIAgCAIAgCAIDW/Un/IHIP8BP/wCAqTh/3ofzI8lwPznl/tHe1fS7%20v1EMl+F/5x2H/eNp/fNVbua/28jKHE/SVfPESwvQEAQBAYe47xt23MDrudsQdg0E4lZwtylwVSNk%20Zlqyq3JKK8Tn3JvVWURyxbPFpDah9xJ8QHawDD6VdYmzttOZyed7ugn22VV9XwOUb5e3+43Tp9wn%20fczkamvJ6HEYDBdNi2IWlSKoczd3C7fdZyqQFy19SXam6hQOcBX9itISSRnbZGyxhz3HF1BpljOZ%20A+F6kpkuMqL8v3EdLCWAaiDXIDqO32FbVKpKjKpiugY5zmgEAtAB6YGq2qRuU2tTGfa+LLSXHS0d%20K/0LYpm1XCw+BwNCKlviI/D7VsUjaplDoyC5r+v3T0Xql0PVLoWzGaGuOn4aZkdiz7jPuLRYKVHw%20uB8Iyr0WzuM6lDmnLEggV92f0L2OnAyTLbxjUk1A8A7R3r2K6fMyRbJxA69QMlkvxMy0agY1FBWn%20Z7FmZlBLh7eregHevTIpJcHVBLX9SDQ/SFjKCkqNVRlF04HQODeufOuJSMYy6/mG3NwNjcmrAO4j%20xV9653cva+NkeZeSXVEqzkuKpxR6o9J/VfaPUTari7sYXwXFi5kd7C+lGveCRpNThgvmG44DxbvY%202pfAsoyUlU3lQDIIAgCAIAgCAIDxX82FP+ZZoCD5DKk5HwtyXcbDX9P8yPe4nFVdI1Hr30xsXy8M%202s1Jb5TfYMBVflj3bepuF1dJMws7e5z7jdf5fRhxAp17u9cr6upcrA0oWTZwgFxkbQDVWvQ9Vmrj%206GP/AMt9DHm2aKVrXNFWkVFMltjlNFVk+34S5GBNsHiqO2rRTCikRzClv+2tdGYFzsZb9wmuXQ+5%20SIZSfMpcr2/KP8NSOm290RqAakYNKl279HUor+3uJjgyMJqMOvYp9rMoyulaki4y5/Z2K1s7l+Bp%20aLrJq0NVY2c1yo6nnaZEbwr3FyEzXJF4K+sT5EeaLgP+nerW3L7eJqZjXMMhLSPFhQnqpUJI3W5I%20jprEmpBIpg1pyHdVSI3SbDIoYt1Yw2zHyXT2xQuxc55oT7Fl+pS5ki1fc9Iptmicg5RYwh1vtrPM%20kBobiQU/7vbRe/q5PgdJh4M35rj+SKfRG/nvvWba5p3l7hFKASAMqdird6cnYSb5nZ7ZajbVEj2u%20uTLYIAgCAIAgCAIAgCAIAgNc5vz3j/Dts/XbtNp1GkULcZHmvRoxWE7kYqrN+NjTvT7IKrOU7j81%20W1s8xu3bPJcH/wAp75NAPtBaotzNiuGp0Fn2tfmlVpHDvWj1I3Tm91b3F5A23itoiyKJmOBdXE4L%20tvaN5XbVySVKFZv+z/opRTl3dyOVrqDnjZ+GuAbdEnHwU/avn3vla2v/AG/YfTP+vZUV7/1/abH5%20mNVwND6V3IyW7hcBhaJXhhzYHGhK1u0uhpdmD1oqll873YuNSeqyUTYlFcCipWRlUID6vD0Voh7U%20+ah7l7Qx7inS6lHGvswXphR8z6AvDJIqoafWvD0uRW9xIR5UbnOGILQSR3ii8c1HWphclClJUodL%204byv1O47a+bbvdd2jcXWdwdbi0dAXV0rZa35W5KLdV9uZxW6bXgX5Oj7ZPnyqdr4b6p7dvsbY762%20k2u9IxjlB0HtpIQGq5tbvjz07lU4TcNpnjvRqUev+BvDJGSND2OD2nJzTUH3hWSafAqT6vQEAQBA%20EAQBAEAQBAEAQHJvmF5ZxuP0+3fYnX8Tt3u/IbFZMcHyeGdkhLmtrpGlhxKjZF2Ki03qXWzYF65e%20jOMX2Rer5Hk9kzRhKwPb25EKlafI+oQuJaSVV+JkxxRka7eQsP0ivetTk+EkTLdmL81uVGXmyzNw%20lbUf+ozEe8ZhYdqfAkRvTj9a+aLrXB2INQciFg0SYyT4FFxMWRnQfzDg0LKEas1ZF3ti6fURrIyB%204jqecXOPUqQ2U8LbS11ZS5hqvUzCUdQGkL2p4osuMkcM1i0boXGi8yRa2iTC4XmvWLRIjMutkJFC%20ajsOKx4cDepVVGVA9mHswXjdeJkqLgXIJ54JmTwSOimjcHRyMJa5rhkQRkkZNOqPLtqNyLjNVizb%205vXn1bsGRzW+4xXUMAGuGaAOcWtz1EEF3eu69t5WBkf0ctu3c5Tr5X4Poz5d7k9p3LCd7G81vnDn%20H4dUZnH/AJuuYt3Bjd4tbK4tJCGu8lj4ntrgSBV+r2Lssr2thqFYXqP/AMqHzu9kXVF9kay5Hc+H%20+tHF99khtpbqCO5mIbGWPBaXHJr2mjoz/EFwl+1K1NwlxX3fFeBC27eJXJenfg7Vzx+l/BnQ1rL0%20IAgCAIAgCAIDW/Un/IHIP8BP/wCAqTh/3ofzI8lwPznl/tHe1fTLv1EMmeEPezmewuYaO/mFqO3O%20ZoVZun/HkZQ4n6Rr54iWF6AgIzd+SbRtTf8Aa52tkODYgavJ7gsJXEnQh5efZx41uSSNL3j1Gu7l%20rotuj8iMj+3d/aV/hxCnY2N3ay4HFbp7zp5cdfNmp3M09y8vmeZXPP5hcTl3K/s2owWhwWRm3b8u%2065JtkPNFRrm6qE4McMRT3qyjJtmcZEZc23he2MgULdfUn953YpEZdSZbucKkZNahvhpRwqWnMGv2%20FSIzJkLlTBmtHMcCKAOzPYexSIXk9CRG5VGDLa01tAHi+47IGuJqpKkSY3OBhz2rQXyOb4ANL3nB%20xd+IDJbIyN8LnBczFltXx6tTmkN6jt/D7VmpVN0biZjPtw0taRpLDWnX3rYpG1TrqY5thiAdTWOq%209ozK2d5uVwxXQuFSKEZgDs/1LapG1TLLmj4qYgGlFmmbEyy9hGWbqae3H4lsUvt+RsTLT2jSQ0kC%20ul1McsvpWerM0yy5jsQ5vhy962J6mxMt+XUaa4nPuHcvU+vEy7j4+IipeaNeaivZ2rydyMVVuiPV%20LoYtxdW0YIYNbjkegVdf3SMdIeZ/gb4W5PiR1xLJIfEadjW5VVRdy7l16vy9CVCKR6n+TAU4/wAj%20PU3MH7GOXCb/AP3l8Cba4Ho5UZtCAIAgOU+qvq1yHg28QQs2uG7226j1RXDpHNd5lTVmkDoAouTk%20O2k6F9se0QzZSTk4uPgaSPmk3o0A2S3PaTM/+hQ3ub/0nSR9kR//ACP7kVf/AOod7/8A4O3/APvn%20f0Lz/wCm+h7/APw2n9zUr3z5k724dbx7ZZCGIgfqnPPi7w1asrcJyg1b8sup7ieyVR+rKvQ4b618%20nt+S8ij3KKJzHFgbK5xJJIAyBXf+xrNyO3VuPuk5PX5nD79tzxMl22c6XXopj0btHqW3aeC7XYbY%20/wD2tsbRM8gYYDCi/OG97Mrm5XZz+nuPpft32/61tTufTyIS49Q9+lDwJSwvzcHHI54LCO12lyOy%20hsliNNCzDzjeYiPznP0jTiT4mjIH2LOW323yM5bRZfIldn9Td2t7sPlkLWD7o8QPdiouRtFuUaUI%20eVsFqcaJG9WnqraSEHSJS7ARnAg+5UlzY38DmrvtuS8DZrPkmx37AwStZLShBPw16qruYV2260qi%20gytmmlw06mRNtcU0Yc2jmn4S3GoWuN9xZzGVssZqjRD3my0bgKacRTtU23lVOTzdgarTkQ13Yui+%20EUP9KnW7vQ5XLwXAwwXsNOoz7FaWMl8uJTyg4mTFMD3Hquhxc2vg+ZqaMlkwpj7l0OPuCXH5GqUC%204Jm9qtLe6QpqanaZ8kvIYonSyyBkbBVz3GgAW/8A+xDrURsSbolqa5uvOLVjHRbezzrivxuFGU7W%20n7yzW5yl9P8AkWmNtEq1uaRNI33eN0vHOfeSmR3QAUA9wU2ynL6nU6TEx4QVIKhpu5yYGp06f/pV%206K0sou8eJs/y/f8AVzasM4pvsUTfF/RVepfYfM9xLlCwCAIAgCAIAgCAIAgCA0T1Q9Vtv4HFZie1%20feXV9r8iJjg3BlNRJPtWq9eVtVZY7btk8ufbF08Typy7ke6cq3mbctyuJJNT3ut4XuLmwscfC1o7%20gqK/lSm/A+qbdsdnHgkl56asgDC6M4416ha+6pMdlwIrkBpEBiQWZ+9fSvYy/wBve+P7D5575/uW%20/wCX9pra61HCGxcTdQXI7Q2nfmuB978bX/t+w+j+wXpeX8v7Se8zEVwGS4Kh9B9Q+6wKjKiUMu8r%20Dh/p2LyhmpI++aBicl52mXqpcS401FcqrFm6Lqfca93avDIUXooKIeUFEPaGRZ236iYMqG95WE5U%20Rqu3OyNToPEuDWdw2O6u2nwu+AkaXg4fCqDP3KUPLE5bct3nGsYnULPimyWNuGR2rNZboLw0e1cx%20cz7s3rJnFZW6XpOrb4lU8TIXvdDC0l9NWFakCgS35kqs5/N3G/SkeRBbxJfx27nXb4obUAuAdmB1%20oKqzxlab8tXI47Mnuk669sX9+hF8X9VdwtOTbXsu3yuurS7eWvdJUsAp91pxC+l7K5u1Rp6dWadj%20WTG+/Un3R6HopXJ2AQBAEAQBAEAQBAfJJI42OkkcGMaKuc40AA6klAc+5d648K4891vFMd1vm4GC%200Icxp/elPhHuqol7Mtw51Zf7b7ay8rVR7Y9ZaHEuXeuXN9/e+O2uP5RYGoFvZkteQfxzfGT/AA0C%20qr24zlw8qO/232di2KO5/Un48Pu/ec03OR36WR7iS5zgXOJqSScSSeqi2quWpf5yjbsNRVFoRxC3%20lU0UhzmOq0kHuXvEwUnF1Rlw3wNBJ4XdvRapWuhPs5tdJaMyKRuzaCteqJtIy4pH0RRD4Whtc6Ci%2087meq1BcFQofbjMLJTNU8dciy6EjpVZqRHlaaKaNGYK9MKI+0jXmp7SI0s6FKiiPoNOqHqZcaXLF%20o3xbLrSVgzfFslNp2a/3JxFtHrpmo1/Ihb+pkbL3K1YXndDZLT023qUBz2+WMyQq2e8WlwK3/wDo%207D+lm0+mlzsnB98e3edgtZbW5k1u3wQB93bvwoS4hx8qox0ioOOK6TbvcCuxULktFwqzkt52mzkt%203sdpXHxj18V4noOPbOLbvAL5lnZ3sN23WLjyo5BIHdS4g1XRKjXgcPODi3GS1XIlI2MjY2NgDWMA%20a1owAAwAC9MT6gCAIAgCAIAgNb9Sf8gcg/wE/wD4CpOH/eh/MjyXA/OeX+0d7V9Lu/UQyZ4RT/jL%20Ya0//cLXM0/81qrtzX+3l8DKCqz9I187RLIbfOXbHszHfq5wZR/5EdHSf92qi5OdasrzMg5m42cd%20VnKnhzOf7v6nbreh8VnGLOImgkzcW+/JVEt1lc0j5EcVuHu25KsbK7fHmayZ5ZpPMmeZZDiXONfr%20VjhzSo6ptnG3707jbm22XWldHjXeRDnEra76FZ27v3Gloplha8YU1AUp2g5hSo3FwqZRm0YUtmW1%200NLstQp9XapULq5m+N2vEwpbRxFHf2ra6SRTA/dUiM+nAkRudOBHz7eBqrq0gVeAKgVyDe1bY3CV%20C8YM1nRoY4gNe0FoGOHtW+NzWpJjd5mDNaOBdpbUDENzFP6VIhd6kiF0wrizLtWtoYHNpX71c/h+%201b43FyJELtOBizWgfqn0F1fFpODjTDTRbFLkbo3KeUwZbQaA8YkHU4D6x2gLapkmN3WhjT27aHUC%2004OcBmR2e9bIyN0JmLLbg6jjkPFSlOwf0rYpm2MzHdbygDDF1Q2mJw6rYpo2qaLRt3k41rll1Ga2%20KaM+9FL7dsbBJJg37rnYCiwneSWroj1TbdER1zudvECyEapWjSZKYAKBe3Na9pLt48pavgRVxcyz%20PJefoyVXdvzufUybCCitDFeSfZ92nVYxRuRbcRiOgyI7VkjJHq35MWtHHuREHE3MFf8AuOXGb/8A%203/kS7TdD0aqM2hAEAQHKvmK27bbrg75554oruyeJrWN5aHyEkNLW1xyUTMgnBl97buXI5ce1Nr+L%204HlN5GFKip7FRI+szfQsG8ewivw/tWfp1IrzHF68C828bWrhp7OqwdskRzFz0MLeNrduP5kUjQQP%20C0nM9i7XY/clrExlZnF17tX4HHe4fbd7OyHetuNKc3zISXjm6RNLjGCACfCanBdNj+58K46KTXxV%20Dkcv2pnWFWUK/wAuptu3+CwgDhpIY0EHMGi+Y7xNTypuLqqn1jYIyhhQUk06czIqO1VhdVR9Q9CA%20qbI9hJa4gnqM140mYuKZMbVySSykjc9vmMjyZXE+0qJexe9EDJwFcTppU6dxb1I/UkR6CQ57WhgH%20dkuczdnpr4HIbhsXZr4HQAIbmESR4jNzTmFzrrF0ZxGTiUIu92wOBA65A9FLtZFOJye4bOpfSQV3%20tclDqbp6VHVWFu+uRx2XtU19SoYEljPGTQ1ypXAqXDJl1Ka7t8osoDLljHOdRrGGjnuNAPaVKhuE%201ojVDBuydEiD3flcFpqht3+fc08OjFlf4grHHnfuOrdESrW1SbrLSJq95ue47i4fqpiWU06W+Fo6%204gZq+w7dUWNuxC19KKWh5xFGYUDcqD2rqcWEV5eX2/A90I3cpS52ILnOFXEZCmHvV9Z6k2wjVr/W%20GuGYxq4eJWlrkW9mht/y+/8AVrav/hS/YoG+r+h80XOHxZ7hXJlgEAQBAEAQBAEAJAxKAwL7kGy2%20FtNc3d5FDBAdMz3OFGmlaGi8bS4my3ZnOSjFNtnIOZfMbYweba8bg/UygENvJP7Kva2hBVfe3GEX%20SOv5HZbZ7MvXaSvPsj05nCOZcu5ByO+iut5u33JZXymE+GOuYYOlVWyvyuVqdnZ2mxhU9ONK8X1I%20bMjp1BWkseIDw5rscegGZSg700R+4WjbmMMk8FRgW9R71ebRvV7Bb7NYy4pnN71tFvNiu/yyXBog%20zsU9TR7aD21C7ex7sxprzJxZwd/2rkQflal+wkdntZLESmQg66aSFzPuXc7WW4K3/DU6f2vgXcNT%20dzTupQk2zNOANPsPWi5VxOvjeT4FTXR1xcBTqOxeNMyjKNeJcY2DMyZnIdnesW2boRhxqZEZiaKN%20pgsHUl23BcCvUO1Y0NvcNQSg7ipoLvhxXj0HcZ0GybnO7TDCXupWgzotUsiEeLI88y3HVuhm2fD9%206uiRDA59MqdaZ/QtFzOtw4sj3d0sw4s3LjXp4YJC/cAdFGkxn8Qx/YVUZm7JqkCg3DfO5UgdCsdm%20ezQYotOof2p6gY4rnruTXizl72UnxfyM6+3aSwt2zXT4owc2mtQO9abWL6j8qbK9q0uLouppG5+q%20F8XmHbrNsYodVxIMBTsoVd2dkglWcvkRrqtxTa0NF3nc76+ldJfTvuHDHxnEasqdyvcaxGH0qhxW%206ZnfJxXAs8Nc4c+2AgHGdwqOlAu32yylalLqQtnlW62ezVKOqCAIAgCAIAgLN5fWdlbvubydlvbx%20jVJLK4NaB2kleN0MoQcnRKrOUcu+YvjW3tfBsETt2uxVomNY7cHt1nF4/hUG9uEI8NWdZtvs7Kv0%20dz+nDx4/ccV5b6ncx5Q4t3G9LLTpZwVji94Bq73qpvZty5zojvtt9tYmLqo90+rNUUU6AIDE3LSb%20VzXGgJGPfVbbP1FfuVHaaZhkYCq3Fc1oUEL01tFJC9NbRcinfHgDVvYVjKNTfavOHwM2Odr8jj2L%20U40LG3eUuBWHrGhuUz7UFeHtUylzGlepmEoJlBiCy7jU7SPnlBO489I+hgXlTJQK2tXjZsUTLt7J%208zmtbm40otU7lDGd1QVWdh4Js0O3WbZXU10quR3LIdyVEfHPd2990mq6GyP3YMdRvip0Vf8ApXTU%20+cv3DK3pF1MafdGyO8Vm2Q9pFVvt4yS+qhHfu7Lg/KjI231GtuIsrO1sVgSXPsGGryScXRM6H9i7%20f29cuR09Tvh0f7DKz7my7t1O5bbT4s7NY3cd5ZW93GCI7iNkrA7Ahr2hwr9K7A7IvIAgCAIAgCAI%20DVfU++soOCb/ABzzxxSPsLgtY9waT4CMAVJw3/Wh/MjxptOh+dsv9o72r6Zd+ohEpxGdtvyrZrh2%20LYb62eRnWkrTRV24xrYkn0PJ3FCLk+EU39x7J5H6jb5dukgtCLO3NWkCjnkfxUBC+J7huN5VjHyn%20C5nu29dVLa7F95pj5XPeZJJHSSHN7yXE+8rnPVVW2+6RzF27O46ydWGzUwzW23lpaGsvMuW1zzVl%20Z3JGLRkNuBhj71c2dzVV+Zi4F5szT196ucfc11NUrZda8FW9nNjI1O2VB6n28hSRqcaFMkMUpBeK%20ke5Srd7oexk48DEls3BxDcQcWjp3gqVG/Xib43TAntWODqxVeQG6T4cAeikQnXgSoXGuZh3G3BtS%20wHy8y4YuA7AFtjcN8L9ePEjpLA+CrSajTTM0z09xW+N0lRvGFJZOALxgAK6Rjj2KRG8uBIjdXAxJ%20bIaqPjOLdGGVHY0W6NxPgzfG70Ziy2OoUrqLsHk4HDAH3Lapm6N6hYdtopQtIDsCW+KnfTvWXqGx%20Xyzc2EVs0OupmwsIdQuoDTpp9qxnkxiqs2W7zm6RVTXr7f7WJro7SGtAAyV2Br1ND2qJc3B/w6lp%20ZwpPWb+Rrt5dS3DxJM8kj4Wg0H0KFK5Ob8zqWlq2oqiMJxFO00ofavUSEW3VGGRKzSM0WyRh0x9w%2071mZlskEfUB9ayMkervkxa4ce5ESag3MFB2eBy4vf/7/AMiVaeh6NVGbQgMbcNysdutX3V7OyCBg%20qXvIA91U4asyhCUnSKqzjXqF6/PtG/pOMRHW4AjcZ2eEHsEbh4vaqq9ukU3GHmaOy2f2nK/5rrok%20+HM4ZyblO+8ivHXu73TriV2TcRG3+FmQVbcvzm9WfQcPbLGLDttxp+Zrs79J0kZpFVPL8+3Qj5z4%20jjkpNtVKbIlTmXIg50WI7u9Yzonob7Kcoan06mmoOFRX3LHiZOsXoXYrqVtaONe/FYygjfbyprgy%20+28ca6uqwdslRzHzL0dxGaVFOgWDgyTbyIsvB7TkVhQkqaZI7Vtke4TeSLhsTyKjXgCeypK0Xrrg%20q0I+RkO2q0qid/5ZcoMXmsijkZSoLHh1R3UUH/69itG6Fa/cOKnRtr4oxx6e8qJp+kp7ws//AKlj%20/UZf/wBBh/60bRxng2/WkkcrmCNoOosGLtQyVdl7lakqVKnP3nHuKidWdT2fb7i0bH5smqrT5mOR%20OS5bJvRnWiOMysiE26GRdyRuFdQoFptplDlzi1xI14hcC4u8IBqTkKKSqopZxtz4s1zeuWbHt+pk%20dLy6DQWMZiDXOrhXJWWPg3bmr8sSC7VrlHup1NB3rkO57iHNndoiOMTY/C0DsdT4qK+x8WFvhxI1%20yMVWnHqjXnA1o3BxwJpSpGdFaWnRlTeber4fbUuxUOktFQDpAOHh71d4iboiLIvFlIw4VIJ+Kufu%20XS432/zNaepE7k4l7jq0ingkGXsI6K7tE+wjWb0nSRXChNMv2/YrO2i2tG3/AC+OB9XNrHVsUv2K%20v31f0E/FFzho9xrkyeEAQBAEAQBARO/8r4/sFu6fdr6K1aBUNe4Bx7gFhOaiqskY+JdvOluLk/A4%20T6kfMLcX+23O28biNsyU6HX78JA0EYsGIxVde3FVpD7ztcD2dONLl58ORxeW+uZA5sk0j9TvMIc9%20xq7tIJVU5yfM7uGLZg/LFKSLAuR5wjphSuvosezSpvWR5+3l1E41gUIBGR6JHQ8vruS1LZFCOnae%20/wD1rI1NULFy8RtLu3GozHctkVUiZN1QTbMV8hLTX6PsK2JEKdyq1LTpPhOeGHas0jRK5wZVDG4k%20udUYfWvJMztW23VlRZQ/vZDuHaV5UycPvKg9rQR0AqKdi8oZqaRcbcNH3gsXA3RyEuZdbcBw7v2V%20WDgb436l5k+IOdcFi4kiF4utfUrBokRnUrY9wINaGua8aM0+pJ7ZvW42srBFPo+6SegPb3KPesQk%20tUaL2NCa1VTqfFee2U8UcU7Yv1AIaHk0NRhUU6LmM3a5JtqtDjd02a4quDdDctx3+0tbZs91PHGH%20/BGCNbqZ6QqeziOcu2KZwGdC/bbq/KunE1a89RL64DotsZ5EIFX3UuGjv7FaW9phHWer6EOxevz8%20DVbm/nvrgzbhI+WRzvFPXxBn4Q3JWsLSgqQVF0LSNrg0ykkNiAjoNbHNeWYvIr94HJEtdSJl1jGj%20NevH1eHkVLvDh0DcFZWVqcPmy41MjiBP/HvH6VANw+oGWXVdvg/2GbNk/uM9nL060IAgCAIDFvt0%202+xaHXdwyGvwtcfEfY3M+5aL+Tbsx7rklFeJhO7GPF0NN5VzzdYdvlk2O3ja4AhtxdAmne2JpH7X%20e5ctf932e/stRcvF8C62vAt35Lvbp4HmjlnJOR71ePdvW5TXr2uJET3Uiaf3Im0Y33BbHlzuqreh%209c2za8bHinagk+vF/ea+5zWgFxABNBXtKxSqW8pqPF0FV5Q9qKoKgIEYW4+IMjzJcCR3Dqt9nTUq%209w81I+JYKzI7KCvTUykhemDRSQsjW0fASDUGiHidDJjuH5Ox7+q1uKJlu/LmX2yAha2iXG4mVB68%20oZqZUDVeGaZ9XhkfaIe0K2UBqV4z2huHD9kdfTNeQQOmCqNwyOxHM79luEHFM6g3aJrS1DGurhkF%20zKyFKVT8+e4vUnJuprl5yDarKd0cspmmaMYYfGa9hd8I+lXELM5x4UXicdjbdcuXKvgQu5823a4j%20dHahtjCesfilI75Dl/VAW+zt9uLq/M/Hh9x0sbELa0WpqU8pIle6rnOHic4kuOPUnErqdojW4RXJ%20ymviez+N/wCXdr/wkH901dEzu1wJFD0IAgCAIAgMbcoZZ7CeGKb9NI9ha24z0Ej4umS9XEHiTm25%20b9Juu6RbtfyXk0Rex5EhdG5gwGkA6cR0UDb5yln2q6/1I/mfUrWJjx26cowo/TfFamj7VskF5Z3D%203HGQ/lH8JFV2nuTfp4ecox+j+JHL+3fbkc7DuSek2/I/gY2y2r7TlG3wzuDNN1D4iKj4xRW88qOR%20iO5b1Tizid3wrliNy1NUkov8j0zctc+5cxtDjWoxr7F8B3S44zcWfGrNpydCQttlL2DUw+0D9ioJ%205KR02LscprVGWeMOAB04HuWj9ci2ftN0qWZuPFtMC2mNaVWyOYiHe9tSXAwJtqnjoG1r2dKKVDJ6%20MpL+0ThyMci4iqCDQZ1U+znzjpyK2ePKPFFyO66HA9aq7xt28dSO4GTHODTsXQ4u510roapQL7ZA%20Ve2M9NUNMrZWHK1t30aXE+SxNlZQ0BNPF1Uq3cpqexlRmLPZkEvafCTiAMlIhdoqG6F3kYUkGoEO%20YQDiXZGvapCnqSIz8TFl21pbrpWQHxD4Qe7uWxXeRujf5ciz/Kg54ZrJNNQ8NQKd6z9U2fqaKtDE%20u7ewsojJezxwn8BALj7B1WM8tRJFqVy46QTZpu78zaHPbtUAYG+HzJBie/SVqeW5KiZfY21cPUdT%20TNwvLm7kdLdSGU5iuQ9jei87my+s2owVIqhGymtOzMD2rbFEuKMeQnw1FDU0Oa20pobYosvqKNoA%20BlT+lbORsRaeKZkipxqvU2Zotmv7KD2LIyKDn0qB0wXqMkerfkwBGwcjJBFbmCh6HwOXGb//AH/k%20S7T0PRyozYapvPqBtVr58FvJruInaCaEgPrSnuXPbl7ghYfZBd8/uoasi/Cwk7jpXh4mr3V7Ffxm%2043hwnh+LyZXB0ROfhYV88z94y8mVO568loWu15E7r8ke3p1OH+oW4WlzfyNgaI2BxEcY+EN6UXQb%20XalGCrqz63slmUYLu1Zpchwp9Kt0XVx6GBcuGvR1HVb4LQqciSrQwZhVzlJtuhU5Cq2ZsMWiKjuu%20Joo8pVZa2bXbDUpczAduZXqZhKBaLOoWVTQ480fNbhj9Ht6r2h53srZLXEHEdvesXEzhdL0cuNCa%20YLBxJVu6ZLJyKOHTELW4kqN2qN+416mTWEPkXQcYmirdJxrlQdgVJmbQrjquJQbnscb9WuJ0LjnN%209o3OFjTL5EobqaHuxdj2lc9mbZctuqVUfP8Acfbl61JuKqq8icmZe6C+3fqJ8Rc01J9tFBg4cJI5%20DOsZsV5Hw/AjZr/c4qh1QBi4nAD3qXGzbfA5m9uGZDyupBbtzWCzAa9/mvOLY2GtSMhUZKdZ25y5%20UI8cvKvNLXtNbueS73uzSHyfp7cGnlx+EkH7pcM1YRxLVp6KrOjwseTi6mGLWNgOg5Hw9uPxVK29%207ZYXLCp4GDdtaGeGoAcQG16DrRb4Mq8mFKkc8u10qDTFuGX9Km2iiur9xVGPC2vw00OA6nOgV7hQ%20cqfeRpGSQKhpNR2ZD3LqMatEuRriQe4uFHN+6MnZj3hXFlFjYRrd4XEOFMRlX4SOp9qsrZa2jb/l%207dX1g20Y4RSZ+7JV++09BV6lziJnuVckTggCAIAgITkXM+N8egdLul9HCWivk6gZT7GVqVhOaiqs%20lYuFevy7bcXI4jzP5jNzujJa8ag/SwHBt7KKvcD+4Rgqy/ua4Q+87ra/ZNfNkP8A9V+85Due7bnu%20ly+63C5fcTP+IvcSMOwZBVVy9Kbq2d5ibfZsRpCKRHXWp0elvVeQ0ZnlVlGiLMhIIP0d5WaI9x0o%20Y01aChpTALZEhXq8mUR3L2gauvb3L1wRqt5MlxMhl0x1ARTHFa3BkyGTF8RPbMuWUD9Lvu9hKyhL%20tZjkY8b0eJiO2671aaNcKYOrl7VtV2JAlgXa0pUvxbSW+J51P7Oi1yv9CXa2rt1k6sqktZKkge5Y%20qaNk8WXIsvhkBB0H2rYpIizsyTToWnQvIppr1J7VkpGiVl9D7+nd2Y+zqvO4y9BlyO2dX2ZBYuZt%20hjMvshIGHVYORKjZLwZiO4ZrCpJUNSsdPavDai3NdQRA6nDV+EYr2MGzVdyoW1q9TDfvE5NLesXT%20UM6Lesdc9Smv7rKa8qoie2PcriOH8975318PmOJ0tPUA1zULIsxb00ORzrKuSrwJuff3vDW5MA0n%20Cg0jIEdVDjiUKy3gONXzMWLdp5pHMdpcGmtK6ad1VslYSRvnixjTj9xNxXBdaFmrU00c7oajvUKU%20fNUpM+3WDbIy+a0PfpBaHaSB2dv0qZY4o4TPqpMucQoefcew/wDzD8K5eH9q7jAa9Bnuyf3Gez16%20dYEAQEVu/Jtn2pv+1Tgy0q2BnikP9ULZG1KXBFfn7rj4sa3ZJeHP7jQt/wDUvd59Ue1sFlDl5rgH%20yn7Gqp3C9dgvLocVne85SdLEaLqzUrW+upL03F1K+eZ5q6WQlzj9K+cbk7k23NtsrsHcLk7vfNuT%20Zst410m3PcBqa5pr2BUFt0mfZdgv1oefeTtgbukvlOqdRqF32E36aqfbtvk3bVTVN3n8bYj8LaOw%2071a48dKlfu17zKHJal63vWGNoNSQKVWM7epJx81OKqZYdUVGPXBaaE9SqqlImeSQI3AD7zsAve1d%20TFXpN0UWvFlh0Hic/N7vics1PkRZY+rfNlt0bgskzTK2y05pWSZolEtlZGplJqvTBnyhXpjQusWL%20N8C61YMkRLrVizfEuBYm1FQXhsRUAvDNIqHfgO1eHrdOJuvFOb7ftDWxeV+sl/8ATaaNHteqfN22%20V11b7UcPv1yEq9urJPeOU3u7gtdP+lt3D/5aAlraH8Rzd71GsYkbXBVfVnzLN271JcCGZaR1pHSh%20UpzfMix2houS7aNBNRgFjG8R7u16NkBfxFrJQ09PtXTbJL+oc07fbcXxPaHGv8ubV/g7f+6auhfE%207dEkvAEAQBAEAQEPzBr3cX3RrHOY8276Obg4YdKLXdn2xb6G/Gp6ka8KnhvdWSwi7bJq8wFxJdia%201zVbs0k820//ANi/M+v5rS2+fb/+N+PIwdljMO3NMlWl5e52PYcFZe77jnuE9a8PyIXtG16e3wb0%20r3N/eYW5xm7ljuIfBLCatd2kGo+pbtg3hYidu5rbl+BTe5tr/X0nbXnWj8Ud54Zynjt1tdlcXd42%20C5iibHNC7El7RQn3lcB7mtyuZMpWlWLPk+3/APXuUshzp5VIkr/1f2e0nMNlF5kcZo/D4jkSDRUN%20rYZyVZvU+s4fs+Sgq6GNP62xNeRDBqaQKOIpR3Wq2x9uqmrJsPaTpqyT2z1c2e5b5dxGNeQf8IPd%20QqNe2Ga1iyDk+1px4cDaLHctj3Vjf08rfMLdek4YZZqru2Ltl6rQ5bN2Pt0lHmUX2xsoTn19qztZ%20bOR3D2/B6o1u92pzDUNNK+9Wdu+pHCZ20St8jAc2aFxByCscfKlF8dCiu2XB6mRFcVAxXR4m41SI%207iZLJqro8bPqapQLoeCrmzmJ8XoaZWysPU6GUnwZrcD6SHChFR2Lcr6PKNGDf7ptFk0y3UzRTwlg%208Rr3tGKxedBaV1JNnFvXNIo1HeOayzROZt8IhYQQ55pVw7uxYfqZzWmiL/F2mMNZvuZom53Uly8y%20XEjp3ZNca4HurkpMEdFZgo6R0IS5fqe4k6qClR3KXBE+2qIj5a0BrUOwxONOqkpc+RKiYsh8ZpgB%20gPYtqSobo8DGe4AgjGhP0lbFobUi0WuxBFNOaySNiLRqa9TlUmqzqZFGdDjjlUr0yLbsq4Z4hZGS%20PWHyYh//AA9yKpq03MGkdngcuK39r1/kSrTVD0YqQ2nnfe7sN37dItOgC5kppwqXOPVfOdzsv15P%20xOE3Dcpu7K3LVJlyWB+42Lg15D4YyxrK5GlC73qkjJW5/Fnde09wX30OLbwLu2vnwXBc4xmg1HUa%20dMV2FjtlGqPvGJkqUE0YRfU+zot1CU51MW6jIdqAwK2wZAyrdHUxDE+R7aNzzW3uoivdpzkqIznN%20oKDpgVoTLWUeRbcwknsNDU9yyTNMoMtFhp7a4LKpocCnR3GnYvamvsAZXClfb3JU9UCtrOpw7ivG%20zbGHNl1jaYVOBWDZujEuNr/rWLN0S9HcyM0lryNGLT2HuWLgmZSaa1Nr476hbjYyNjNxLPIwflxh%20xo8fhKrcnaoXFWiSOa3exjKLbojYuQcz3vc7QB5bbxuGl0cYo4g9CQq3F2+1alpqfHN6uwlJxia7%20a2bnPBf4Q0gmuNQVYTmVmJiuckqEv5TYSI5W+AAuYGEfeyKiOVdUdPZxUo+J8iikcNTQNMdNbq0O%20KNoZEFEjtyaBjSh1nvw6e5SbTOazVRkS8A0FaHUaEYUw6qfaXM5686NouwgVFMNQ1Ad3cuhw4Vp4%20EWRee1pFT4gBi3Ko7l0+OjGBr+4vOmQDtpp+1W9lcCzsLga5fUxoXHEahXAe5WVotbJufy9Af84N%20uoakxSVHZgFX77V2EvEtsR6HuVcgTggCAwd63qx2ewffXryyCOgJAqauNAtd67G3FylwRnbg5OiN%20L3flW6X8whtZP0dq7GtKyPHcRQtXD7h7vdGrEfmzfGdi20p+afQ1DlWx7BHaSX1+101wAXtluneY%20aDs1fUuWs7plX7lHKp1G0ZV5yUYLtT6HCtznbNcEsYGRgu0ACmFV2NqNEfUcWDjHXVmGStpIbMea%20hcGk+yi2RIt7VpFmVwBp1pmsoojXZUMdxONVtRDkyw5uZJwdTDOizTI0o8fEqAOmg8J+leGSTppo%20VtLqihosWbYt1MiOdw64DotbiS4X2uZeExNOo6LHtJKvVLgeTSpWNDap9T7qFMe32ryhl3HzS09B%20lQlKnnamfNDaVp1XtTHsQ0Afae9KjsQ0gdPoSp72lme7hhHicNXYMVnGDZFv5ULa1epHXG5SyYM8%20Df2/SpELKXEp8jcZz0j5UYhJJJOJ6rcV7ddWfW11LxnjM+G4c0GpJa4UNDQ4ZY9y0SiRZ202Xf1z%206tOOprA0GuFeriOq87DH00ZVjKS8htZCDQvyGntPaVruI03VTwNzsCDaNfWrg01NKA+5U15a0OX3%20DSLMTcT+ZR1anThX6KlSceNWfO9xn5nXmOKSNb6kcbiIo4zyEdfu5Lv8Sx24zfwNuxRrKTPai0HU%20mHvO5M2zabzcXsMjLOGSd0YNC4RtLqAn2LKEe6SXU8k6Jvocou+eck363bJHM2wsZRqEVrXWWnGj%20pXY/90NXQ29vtW9X5mfMN19335Nwtr01+JE0Da5lzvicTUn2k4laMq+kqI425dlcl3Sbb8TFnK43%20crjM4Ix4nhsgqaCua4LObbLXEkk1U3GynbJYOYSHRObRwGJXM3I0nXmfYPbuUqKjOJ884+LTcpJ7%20ZrnRPNXLtNsyu+CT4n3fZc71LaTOcbv/APND+ELo7H0mjdv7vyMaKQsP7pzC2yVSDaudr8DOiuHs%20AINWlaJRqWlq+46rgZkd01wzWlwoWNvJUi6C0rChIUkwWNKVPHFMtugaVkpGqVhMtOtR0WamaJYp%20QbUr3vNTxT5+nTvH6cqEFE7jJWSoR0WNTNWysNXlTaolYC8M0g5zGN1PIa3tKJN8BKcYqrdEYc27%20RNFIW6z+I4Bbo2HzK29usVpBVMCa6nm/tHkj8IwH0LfGCXAqb2TcufUzJtLsREY0otVy3Ur7lqpn%20P3ySoo/ALSsZEX9Euhkw8kewUD1qliJmuWAnyJbbt7fcNcCSahRbuMolZnYajBlV6CLWR1MSPtVr%20sj/qny/Nt0u/M9l8Z/y5tX+Dt/7pq6R8TqUSS8AQBAEAQBAYm7Bp2y5DsWmN1R7lEz3SxP8AlYrQ%208V87iii5ZuDWUMQlGLfhxA6LlsCTdpPmfY9in34kG+BrlyQy3eaUpl7+xTk3KVWWV+kLToqEWK/a%20pBRKpUHGoc2oI6jBeUNilrVGVFuE7BQ+MVz6rVK0mTrWfcjo/MSFtcNnHh+MfE1aJw7S2x8mNxeJ%20eWBJNo4zu28W74mxMdIARocMTT8KhZNmEk6lNn41qSdXQ7lx2e+ntQZwSyldcmJ1LiM2EIy04nzf%20cbUE6KlSvcIYiHEmqwsyaOO3GxCSddTWNwtmt8TevTuVvanU+cbhjKLqiJdVjzQ96mW7ji9Dnpxo%20y/HPhXJXWNmNKq0NbRfE9P6VaQ3Khi4GDfck22yBbLMDIG6gxuNfoUq3nzkqIkWsGdzgtDWtw5nu%20V2Q20b+lgLauccX50qCFOszuSesvgWtjbIQ1l5mQwbVzp5XF8hHjc7Gr+/uorjHtonJ0VFojGugA%20w0NWg1J6e8ditLPU3WyEuXGhaB4XYEj6gp0Eqk22tSKndSpppphQdylxTp4E2CI+ShONO6orVb4r%20QlRMWR1Kk4DLtW2OpuiixIRSgzIFadncs1+JsiWnFtSSaVyrjVZpVM0i0XCtcKE1y6LKhnQoOFK9%20BQ+3uWT1Mik0x6juXp6erfkwB/kHJDQ0NzBSuXwOyXF7/wD3/kS7XA9HKjNh505HbD+c7mNbnVuZ%20HAVxJ1Gg9gVduWB6lltI+SbpL/dT+LPmw3g1lkh0Snw6hjppnl+LJfNcyy19vtwOo9r5tLqj/CaB%20z3a7dm5TTsqzUa6SDTPJqvNtvNwSZ+jNkypTtpcjTOv+mStjoRrpgRVKHvfTRhhGQFB2IzyD6H1z%20SRh7F4mZyi2UmOv2he1MHbHlVH1BO489KoMfQmnsSodvxBirgcUqPTGhKnvYHBrUR5JJFiS5Y0Z+%20JbIwbItzJiuepYjkmmfhgwHxD7FudtR4lPfzpSWjobnsG0RW7PNOMnQ+3sVPl5Dfl5HEbrm98qEx%205YdJqBpGSDq7SFB7qI41WHN/mzImjdF4NNNI1BoIx1Y/tWtOpc4lhLXgYsVzqLtTgAwgOFDU6sgP%20Z1W2VuhaSt6GWRFoBo4vB8eOFOlFpValfktpceJFXsoJLK+ImriMqdB7lLto5HMmm3RkaSXPOFS4%206KDsGKsseOuhz02ZEIOnMZ+7R/Qumwbf251I8mUXL2sjc6oocKUOXaF0ePHQztqpru4ubWgcXVNQ%20TnRW1pMtbKZA3mnUG6iSzDHM1x/Yp1ssbX5k/wCkO7Xm2+qmxS2fl+ZNOy2l1gn8uVwD8utMlD3e%202pY9XyLPGk0e/FxZYBAEBpvqyWjiE5d8Icwn3OCq95X+2kQdxyHZsu4uKOd7VurJLgXIc57AyhBN%20SB+NfL8nHpHtKrbM31rvevq6HOvUncN1/mT2TXEstq81iiLvA33K82mzb7E0kpH3v29K2rafau7m%20+Zo36hrz39B7FddlDrrd2PI+Enoh62Wnk4u01rgFmjROvGhYcMSXU7K/asyK+dTHkNKk5BbERLjo%20UEVAx78FkamqlQY45BeVM1Fs++W5eVMvTZW2M551wK8bNkbbLoY5poWnDMLBm+MWuRcaTkcaZnsW%20LN8WysH/ALO1eGaZ9+zAjuXhkK5/tQ9qY81/BGKF1T0aM1sjabId7OhDi/kR8+4zS4NOhvdmpEbK%20RUX9xnPRaIxcSalbSAPrQBAEBkQilDQ5ZHJa5GuUteRdAB649AsTWkSO1wOdIQwuc0O8LmmjXHso%20VouyotSLfmkqs3u3h0W7tbiQ1mpw7gMgqOTrI43cbnbEiLt4e8Oa40cRQHrTL6FYYq8yR87zZVZX%20xtlfVLi2kYmV5Pt0L6TbhTDdOVCw9va9x7WVUdOQXOzThW/Hs2+5P/4Tlux/7kf5l+ZjP6X8Gefu%20M7g/+UWz2mv5batORwC6HdKwbofE8+yvVkn1J5lwyVtWGvaOoXMXr7ZWu24lt7S5U+RCU9D1Ohjv%20t350VBk7XPjQ3RuGXtl/cWkoGLmHMLmszAa4o6Dad0nYmqPQm73arDeLNxbGDI4fCe1VFu/OzLif%20adh39ujqec/UjaHbTymWyLPLLY436f426vtX0Xab3q2FL4n0N5fr0l4GsNa5xo0EnuVkxGLbojOt%204Z2xfmMo37pWick3oWmPZuRj5lRFWkg1GC8qbO2nAvxvcsGiTbmy82U5LBxJMbhcDljQ3KR9XhkK%20IKHzSlTztGle1HaNIXlR2lEs0MIrI8N7B1WUYt8DVdvQt/U6GBNuxxELafvuz+hSI2OpU3t1b0gv%20mzAklkkdqkcXHvW9JLgVU7kpusnUpQxCAIAvQVNzXjPGbHsD4mN1O9yrspNlHude1jlW7TQ2IbDg%20ZKAnsFQrX25ZTuuvJHyqiuZFHyZ7k4x/lraf8Fb/AN01XB0BJIAgCAIAgCAwN+k8rZr2T8MLzj7F%20oylW1JeBoyW1bfbxoeGt0mbNuN1KwucHTPdiccHFc4o0VD7htEWsW3XR9q0I6+GqHPw1q1bLXEkZ%20qrDwI6h65j6lIKejPop9SHqLkbdRPtWLZttxqyRhkdbjzG4OyDgo7XdoW0aQizdOLv2DeHi1mt44%20bwDXG7JjzlpooN2LtyrJvs/LxPm/vPO3jb4/qMSfqWOadXKP+Bvm1m22xzgy1awObUzEYt6Kdb9p%20XM2Hdavwl4anyO5/2RuNz6+1+GpsMfIr3y9MTWmPKgwoqrJ9hZdt1aqV0/fd917ktTEut33GQYx0%20GVP6FXy9uZFrjBlfk+6Lt5dCOllvZTVzTjn2LOG131/Aylu50p8WWjbSk6ne9SI7Td5oiudSM3Lf%20ts29pEknmzAgCFmf05YLcsOS0ZLsYNy4+i6ms7jyfcbnzI4SIIc2luEhacM1vs4sV9XEt7O3W4Ub%201f4EUAytcns8TnfeNehVpahwrzJrZfGGNKsLaOaPw1zb3K5xlVrTgYNl7xNbIBi4ChAyDFc2eCNZ%20gXbjoLQcKVoM/wDsVlbpzJFuhC3hIaDVwbTEDr3e1TbdUTrRFTnCoJDcqdcVLS6E2CMKV2IoCBjU%20LdGhIijEkcQK9DmPatsU2vgboosuOmmYp4SR1os14GxFpwIOBqOpWVDMtmuGBOHbkskZIoOfZ1Du%20xZGRT0wJplU9hXp6erfkwcTsHI2kghtzBQdRVjlxW/pev8iVaWh6OVIbTzxu87ZN83FjQI3m5mFB%20kAHHE+1XUrHfZ1105nyLeE/1M2+pGQPkt71joyWtr4SzKo+I4r5RvuGoTfiZbbf7LqdfiU8+25t3%20tjLkyEtcC4nrSmHvVPtd3tm40P0R7Wz+5Jo46RQntGFF1Z9Nr0Pn1Ze5egUzQUPocRkfYvKHvc0T%20nH9rG5PLXGgaQXHrT+hQ8m76ZFzNx9FanQts9Irchkk0tdQ1BzvgAOI71QXt+a0SOVyfd8dUloSk%20vpHtWgvjIkdgAO0nMn7FGjv060ehFt+6XJ+H2oaRyPhEO3SFsdfMcXaGuyFOmH7Fd4m4O4qnRYO7%20O6lU0e7aYHaTXVWgb1qM1c2/MWdzLjGPc2Ycsd09gkA0xuNMc6rfFRWj4lNf3PulSJRBtdxO8toX%20nMhv+tbpXYx8Csu5a7avWv2obXtHGG27GulH5gNXE5+5U+Rn1rQosvcHPhqjYGMZDH5bRqe1pOnu%20Vc25OpymTkdz56/eX26GuD36tJoH0pUA/atb8DyzFN6v7fbiWLgeAhoc5tfhGZb31WcOJdWVw1+Z%20Zt43NkdqcKj7o7DkHexZ3JaGy41Qy5nNEdYhQUxL8yfvUotUFrqUWfdpXWpBXEhe5zm0pk0H8PYp%209uJx2Xd+yMeIDW11MBj7GnABW2JBlZPnQyYmhgaD8Q+8eh7F1eJaVO37zQ9WYW4XBaA6nirRo+7p%20V7ZSZKsxqa5fznzHvfjoH0qytR5FpaiQs7sQ2mkNyrnjjipkepPgiW9MK/8AMzjob4R+uh8B6eMf%20Wou6/wDHZY2Kcz9Clw5PCAIDS/Vv/J1x4dVXMGkd7gouXbU4dr4Mp9//AOJP5fmcg2iQ2d/iasYK%20P05fwhcBuuK4Nw+44bZcnturxZBepNu4iO4D/OYWkNH4CTWvsWG0y4rgfpP2vkd8KcDmLq5VqCcH%20LozuOR9a41pj/QvGjOMnWhV5ukEjEDAhedpl6tEfHRl4cdXiIo1vYvUzGVutWuLKWW7GtGqjnnNy%209cjC3YS48SsQxD7rT3rHuZtVmC5IrDCMsD0XlTPsPnlnUMfbRKnnp6nzy61w9q9qeenUaT9iVPe0%20+ltF5UOJS4tANcF6jyTSMWbcYGVAq5wwFMltjabIF7cIR0WrMGe/mkwB0t7lvjaSKu/nTnw0Rj49%20c1sIYQD/AEKAIB0QF6GCpFRUnILCUjXOdCQ/l0ocG6mghup4x8IpUV9q0eoiOrqfErtrV7R5lQ4l%20ocGt+MA9R0XkpGE5ontl26V72moAY6rm9AOxqhZF1LQrMy+kmvA2SaQRQkGrdTTj+71p3qugqs4v%20dchKtGQcjtc2Ha2h/wBOqtsSL7lTicNkyr8NTK4zHT1J47IRqIneBTOulfRpOuPR6Fp7fdZNHtJU%2051RA89/yPyD/AHddf3Lltx/7kf5l+Z5LgzzVw6bXs9sOyNv1Lqd7t8T49ukaXZfEmhM+KTU00cvn%209+72yK/tTWpMWU0Vw3DwvAxafsVzhWYXFVEG7Bx+BfkjAaTn3Lbl4sYxrWpqjIib3ett25jprp2i%20NnxOGIXzncu+5PtjE7P2/wC3cvNklatunV6L8SEuPUXdLx36fjtnLU4Cd/hb7ciSqlbVCPmvSXwP%20umyey7eHFSyJqvQ1XkHG+Q7ruv67e3m4vXsawupQaWCjR7grTGzbVu32W9Io6q3uGBaaj/kWXcKv%207dnmeSRGBXwhZLcYS0qX+LuOPKii0RFzbPYXRvGkjoVLhOupdNKcdDBfA4dFvUiFOwy0YXV6rLuN%20DssuxsIyWLZvtwoXmgrBkmKKwFiZo+oZBD0sz3tvB8bqu/A3ErONtyIl/Nt2uL16Ijp92meaRDy2%209ublIjYS46lPf3SctI+VfiYTnOc7U4kuOZOJW4rW23V8T4gCAIAgCAICuNup1F42YyZsWz2bnMNG%209FX37mpRbpdXpy+BhcujItIwBiCPrC6L24kpyfgfJsWX+5fxPeHGP8tbT/grf+6apZ0xJoAgCAIA%20gCAhObOc3iO7OY/ynC2kIkPTDNYXFWLRssxUppNVVTw9Ifzn1cDR58XXPErmp8WfcceitxXBKhZu%20Y6wnGhrn/SvYPUZMKwZHHW3Bw96kaFM+5cT4KdMM8ECoXocMaf0LCRvs6GQ99aZimJ7lgkTJyqTf%20Fdlk3G6/KkdG6Gji5mf8QUXKvqEdSuzsqNqFGlJNcOp1ax3W72xhj3u2fdW4ppvmAeaGU+J1cKKh%20i5KXfjz9OfTkfOs32lteevJGMJyJq3t9ruGiawvY5TTVoeaOHtyVtZ957lZlS7WSPne5f9bX4f22%202iuWO6heWyMa4tFXFpFMce1XWN74tz/uQocTm+1czH+qDIO+5hs9q1wY79RM00MTMwe+q6vD3C3e%20XkhyK61tV6T18pqu78r3W+aYhS1hGejAuByDlGz8mi5fbqXWNttq26/U/E19xqTgBWviHxV6/R1X%20I3rlW9flyLWJSOpA8TGNDT240qFri9Ue0Kx4XE5FtGtIyrXENU6wtEkYMyGtaHvbXwjwnuZnX6Vc%2040Xx+zNciqR1YyDg4uq9pzrTp3K5sRojAj9wkBGgOBocR1VpBPmS7aIO6eC/PS8Y+LNpHQe1TIRp%20xJ1uNERc2OrGhJy6ivVSYrQmQMKU1NaA0wNPtUhVWvAkRMeQ0Jx7KhZJG2KLDsBpNMCcAtngbEWn%20uGIFQCaU7VmtOBmi2RjQZ1oSeqyqZFBNcjq6kL0yPjsQcQSiPUer/kxdXj3IhppS5gx7fA5cXv8A%20X1/kSbS0PRqozaeZN63BreUbi1poP1cwc72POC7DEtOdhPw/I+Xbxa7r83x1K7hpmZrio0nEgZUb%20j9K4P3LtzcXPjQpbc+x68iRinh3LZJ7SZ1SGViiPweztqvlkoO1dUkfXPZ28UcYv7zjW+WTrS7MZ%20GgOxEZ6Lrse53Rqff8O73wTIzpXuqpBKPv8A2BAXLdj3yhrBVxw096xk0kY3JUi3wOr8D2eCCLzp%20wDG1pcJfvNPVvtXM7nfb0XE4Tfc3ijZJdxkhMTInl8dXF7u1tfsVbGwpVbWp8a3TP7rjpLnQz9w5%20Ht+07WbqZ2nW00a440UazhTvXO1HXbPh9yi6+XTU5tu3Lpt6tzE2PyGPLgHnPT0cP4l1Fnb1YdW6%20l1f3i3jy/pvVc/zRBWW2bfFG6Z7fOlZgC7Md6l3cicnRaIrL3uOV6tW9D7DbQm5DvL8ThQ1yosp3%20PK9RDd1Ly8yTggtWRN0aTQ4O66lBlKTephPdIurqfZbqNh8JFSfy3nr/AKl5GBVX8+r+1DGdd+dI%209oOmoozv7W+9bVCiK55PdLiZkMjHxBldJdiNX7uBWqS1LHEu0SXNF+4LJZg0uOlwa0ufhhSnTotU%20apFzauxS0KSyBkbRUgNJa54+E0wbpXqq2ab+WkvEjr66Li6MHOgoMgB9qk2oHMZ2Vxq6ES8iR9Pw%20HLv71YWbdXQ567cqy/G2jg4kgNP7f6V0WHj10qRJMuPkjYxrtRq3Cg+sLpse3TXhViKqQG43Z7DW%20uR7VbWrfIsrNvka/dynENp4cST0d0AVhbiWVuJFzyANINCSKuBzLeqlRRMgid9Lnk+pXHHaRQ3sI%20Bb1GsdvYoO7L/btE2xHWlT9C1wxOCAIDTfVjV/whPpLgdbPhFXYvGQXlKtFN7g/4c/l+Zxe4aYrt%20pNGhr9LiMtFK4+9ct7hxnGXc1xPmWJOkl4DmNq+543JdFjZpK6Q6tNIplh1XKYM1G928D9Cex85X%20VHXQ42ag4/EDh2rrD62fDT3dg6lD0EDHuxPZVDxpFYlfUYZnLuXjRsjcaLrHtcQKUceiwaob43Ey%209FbSyyhkbC6R2QHVYOaS1PZSjHVmeOM72Y9bbOQgGhAaaivb7VpeXbrTuRG/W2K07kUXHHt4gB82%201e1rRV1QfD3FexyrcuDPYZlqWikiPkY+Mlr2kOAxBwK3p1N6kmqlDnADoskjyUkYU+4xMJDfGclu%20jZbK2/uMI8NWR811NKfEcOwKRGCRUXsqc+LLPXvWZGCAIAgCAIDItrZ8sgAHi+ztK1znRGq5cSRs%20m27NONAIAdm8Z6uwj2Kvu30VN/KVKrVfkSB2qUMMhqakjAYmnZ9q0K+uBFWTU+222Oc9rnjU0OId%20p6Dok7x5cyHTh8CetYTDDpdUsBxcBiVAnKrKXMyqJ04GJuFzqk8qg0sFXHoG9QFutQ0OM3HJq2ny%20IyIudLqPUO+gZK7wbdJJ/A5y7Kpn8Vl0+onGgXDUJnGvShbku9nbpjtLmXOwJ97aPZ6pjrCB59/k%20bkP+7bv+5ctuP/cj/MvzPHwPK3pzdiSxiiJyYKfQu83mzVHyrfLVJtm1XILXL5Lu0XCZTW9SqGYs%208QzzHtWWHkyUGlzQa1M+x5BLNe29jHbRvvLlxZDJIS2KrWF51/1WHJcblXsqsq3JpR5cz6F7e2nb%208izK7c0nDiiO3Tjl3fbqJt3uf1cbDVlu3wxR9zGDBTcXGu3LdIRafXm/iXUvfuNtq9LGtrxlzNk2%20w7XYxAW1q1rx94haZe2Mq463HoUeZ/2FK9rrUtbnNHcvD9AqDWtFFnslyymc/le453WnF0JLbJtv%20urY28zGtcRQFc5fhOEqo7HYfc7qlJ6ml8m9M7qed89rI1wcSWtCuMPeIxVJI+27R7qtSikzQNx41%20vFjK6Oa2eafeDSQr+1mW5qqZ19nOs3FVSRHSWc8Yq+JzR3hSFcT4M3pwfBlrQFlUy7RpSo7RRBQx%20J9ytoqgHzHj7rcvpW6Nlsr7+5WoaLzMjrjcbmYaa6GH7rf6VIjaiimv7hcuacF4GLRbSFQLw9CAI%20AgCAIAgPtCckPDO2yzkmnAAWi9cSRGyLqijfLKwbbWpJFDTNUc7vdI4fd8/ytELusbC5lQCDJGCC%20K4F4wXX7JFqr8D55iyrkL4nua2jjjt4o42hkbGNaxjRQAAUAAVgdoy4h4EAQBAEAQERy+GObjG5x%20SCrH272uHcQsZcDGd3013/6dTw5v+y7ztF7/ALTA6CJ7iIX/AHHNJ6FVN/ElbVZcz6BsPujG3SKd%20mXmho4viviRt/ch+mJmAbi7vKi2oU1Ooz8nupGPBGKJHUoTULZQhK4+DKqg0oaLwzrUvxBYSJNpF%20wnE9o6FYm5s6H6ZMa2Z01GO0OrKw1qRkqXddY0OF915fbLtf39DpvmWUokic5g1/l63ZaTjr9vRc%205Sao9ev+Bx+FuP8AUq34nL/ULbpoNwZLaNdHERpaxlcB3+1dJttxShSWrPqmw5VYavUhtsub99j5%20PnSF0ri2SEk0La09qsPQjKaSR8/9/wC93Yy9KLSRnRtiihjrSrQ+ncRku0sRVq3RcT5BJtupYlfq%20cHGoGA097s9XtXP5l+rddTZFFnqGaCQ1x09lfvfQqiTq6m1H04AYk0eSXDOhwB968i1zBWxtC5oI%20BBy6Nd2+xWdlVoamZDSK0IybWRvUCvwq7xlz5mEiuXwsERcS5hxGGkexXlmOq5HkeJD38pL66fhG%20DB8XvVhbjrQl21yIS5lq5wB1DMnqT/qUy2qcSfbiRkrhpwHixqVJSJkUYkrm1rUkYVJ7VvS6G+KM%20eQnM59gzCzSNiRacTpIy0/d6krYlyNiLTnYnEj/TNEjJItknsr0p9izMymuIpk0e9enp8JwFRXOl%20UPT1f8mLXfyDkbiB4rmCh6mjHLit+p6/yJNp6Ho1UhtPJHKLlw5Pu/lsA03s1AMaeM1cV3e3wUrE%20avkcBudtevKpK7LesuodBIecQOyvUlVu64VYUpQ5jKtODqZdtNNaXXh8LK0BGI1feJr3L4vvmD2T%20dVxLHas12bndXR8fAhPUTYGTW7dwtYnhrvEXAYOccyoe1ZVH2SaqfpL2rvKuxSclw+45o5pbUHou%20hTO8TTVUfOvvXp6TfHbDz7qJ1B5YeGvJ+IV6hQ8q5SLK3PvqMWmditIINrsni3wDW6dWZLnioJBX%20JXZO7JVPj3uTcHRpvzciEluy6cUPmPodZb2HNWVnHctD5HlZTlNtvnp/iQPMnCVtqyeh0hzmBxIG%20WCssLFuQb7VxL3b98uO241+XQ1qQvq0uGkNANRmAewKe8ZriY3cuUnV8Stsw1aSaOJNAOlO1aJWq%20BZEuOheinc1zZAdQ6dhWp2yUs3qz758tKVoKU9yemJZy6ljzm9SaDI9KdvsWxWyNLLbKxKcYwaD4%20vb3hYuHMzjf5PqZdtcgUDqDQ11CepK0yiWdjISarxM1m4DyCK643EF2rrTofsWl2tSwWZRaGLd37%20i3SHAgYimTaZLZC2Q8jMfL5kbNKXaqHxmh1fxFTLdsort+vDxPjWA11ZA59pHVXWJjOVKa1RDbMg%20ChPhq5xqQMiF0+NjU4fZmriRm43lGEtcGMcdDh+2ivLNsnWbRrd/eAvpXThWvWnd3qxtWy0s2tCH%20uLoA6pAa0qXdp/pUyEOhPhb6F3j/ABrkXJtxjsNis5b66Lh5piaXNbU4OcegAzWrJzrVhVk/kTbd%20qvwPSnpV8q7tm3Oz37k98JL+zkbPBZ2+MQe06gXOIaahcvnbxO+u1LtiS4W1E9GKnNgQBAad6rFw%204jOQ4tIezECpxcOiytqs0UvuFVw5/L8zjt/Ax1WRnUDgAfvDOlftWve8T1Lb5c/mfKYSo6mRZB19%20sN1aF2qSbCM07qaiOlF8ovr07ylyR9X9j7goXEpP6Ti252klpeywSNpIxxDhXPHMLrLU1KKaP0bY%20uqcVJczE+7QY9nathu5H3On19/eg4gnDE59nZ2IG+pct2tdNpNR3jE07gsZPQxuSonQ7V6c7bZx2%20kk1xAyRpAOsgEmgwoe7quP3e7JySi6Hz33Buk7VKN/D95vNvJDcFvlwMDGVGAGI+1UdyDhxepx1j%20drt1unDmQvJX7FbPbFdPYxrm1LSRXURmVLwldkqxOs26d6Ue5HFORMh/UeXYtN07HVOBQE1yFM/a%20u0xm6Vl5fA6WG+27aeuprt3tt0IjJcFzXOBIhaKkU7VPt3Y1oiFd3eV+TVfL9xEyWr2kVaWg5VwU%20tTMoTVCgwupgar3uM+9HzyX930p3Hveio27wypwJ+HsI7U7keeoil0TwK0w7kUke9yZQQeuCyMuI%20DSfYvKnhmWdhNO+kY1OHTotU7iXE0XL6jxNz2Lj7I4yZG6pKg1GNQqjIyqvQ57N3BdaIn227GEuo%20GmmNcKU+pQXJlHPO5J0Pvl4kYUaAe7x5LyrMf11dKlRNtHCQ9uhweWl4xqeyn2pSTfEjXc7TVmFd%20XhD2hp8oNNSAdQPet0IFFm5jrxpp9kREkxedBGVQTXMFTrUNSgyLtaoqaxzWj8X3vZ0XS7Zj0ab5%20kFupb4hO8+qnHQ8F0bZ34DvauxyIr9M+p1GxQSqe4Fzh0JA8/wD8jch/3bd/3Dltsf3I/wAy/M8f%20A8aent+YpImk4aW/UvqG52qxPn+92e5NnULgaow/OvVfKfcGLRVOOho6GPHidPaud26523EvE2sx%20pRLb3NtMPiZMdJ/ijeD+xXHuDZPUlG7bX1Kj/MsMPLlbUux/w/tRPbbescykxrjg/wDpVltKVuPb%20NeaJS5MG5NokjpGWSsb+TGnAgmPPRwwC5TdGrqpFG2Ghi/mMNQaEdVxGTgvoTbV9x1RJ2O/TRDRL%20VwCo72C66I6jbvcU7XFktFvW2TM03EIOrq4VUKeLcjwZ2WH7z4VdCzdbDxrcAdUbAD2BZQyr1vmd%20Zhe8OkjWN89LePtgfcxXTbZo+/IQxtfa6gVni7zeb7e3uOwwvd0pfVqjkm+C2srl0No/9WG1/PAL%20Ge6uJXW41ZqstPA6GPuGEo+VVZrFzcXUziHuOn8IwCsoRiuBDu5ly79T06FLLSRzage5HcREd1Iq%20/QXH4V56qPPWiUutJW5heqaMldTLRaQs6maZ8AJQNl2O2kkyCxc0jB3Ei8NsnIyWHrI1/qIg7dMM%2009ZD10UfoZF76iMvWRU3b5XHALx3UeO+jPsdjmkIwOK0XMlIi3sxI2rZ9kjtSJZemQVXkZLloigz%209xVDLv7wOOhuQwAWGNadUfPdzzu5s13f5PKZak5vniFPbI1fSdow1G1KT/0lVtXnvo92R/2bfYPq%20URHalS9AQBAEAQBARvJXlmwX7gQKQvNTlks7ce6SVKkbMVbUvgeVOX3kE0BjkaJoiSGuGOJK7THw%20I3rbtzVU/v8AkfPdkyLuJkerbfbNM0DceN3LYDe2jHTWjcZHgV0fxUXEb3ss8OdVrafB/vPumwe7%20bGcvTutW8jpyl/L+0hMqV+hUJ13A+ivsQyVTMthUGhpRaZljjqpU7+0r0GZC8XAyl9RvvBZI2Wjg%20ypB8RLsHV7qdFV58T4z78zKXO1v7v2m0wbl5crS12iTVQOOLaduKrZY9V4HzGO5uEvAnLWxtd2jj%20t52l7Zq+a6mTK40KgXLsrNZLlwPo+wb44xrWrRzjebC3sr+W1goYYnHSGGuFc69y7DaW7nbJ8fto%20c77nvyu5HdJ6sxpX+EuzbpwaO0DAj2dV0WVe8vbwOZjExXipcPuODC7t1Fc1duVfwN8UfC8Bx1YM%20HhJ7SOg9i1UPT6wUNK1e7E/vUx+jsWy1xr0PGXWN1sr8RIBB7X1x/YrXHi0/ga2ZLA57gWkai7A9%20NVMvYr/GhShqZZuXtYJJGN8IyBVxYgufAztqvEgbx7fuvAcTVpeae9T7cXSrRPtJ8yIuXtxp4Seg%20xqpsei4E62iPme2uGBApTtqt8VV8CVBGK8jBuRP2LauOpuRjuILeoxwAy+lZo2otyZUOeBoVmkzN%20Fsk1JGPd9iypoZUKCaNzw6H7CveZkfCetMBhQZL0FJpT616enrH5MWSjjvIXua4RvuYPLcR4TRjq%206SuI324pX9HyJVtaHoxUpsPGHM5tPK94ZGSx3624LgezWar6PtlXYi3yX+RxubaSvS6HzYN30TfG%20GhoAND8Q6D2hZ5WPVJP7PmU+bjVRu8Ujbi3Mg/tCPBT6yF8+37afV4Lgc812ypyLtrds8g2lySY6%20eGM46nHr7F8ky8WVu66cUzsPbu+zx7j1qQe7cGguGySRN0knRDQZdcVvs7i1RM+5bX7rhOiTXjrx%20NWn4ZdxSuEdZGtFARiC729iso50WtTq7e7RarVG+8U2K1s42XE0eoRNq1jcRXs9neqTOyZT8qfE4%20/et5ik9dOBJ71uJe/TEw1cA41FNTh8OHco2JY6nxj3Bucbr8r4EZbweDwkBz6mQnAk9i73Z9uqu5%20rwOLlOjqyI5fFpZa0x06gKj8Wa6K5t6jJVVP8CXt1x1kay+JtNFKDDRXuzqo9zGVKriWak+JS6Lx%20jtx0CmGXU9qrruGlpTVnqloWhEANIyIqBXFw+xRHiVfHmbO9n3ysHDGjfFSufSgKzWE+fwHqMOjA%20OOAeNJJ6e1YyxHTwPFIp0uDhWtSaV7+hUa7Y7W+h7UuMmaQ0Owca/sNFDlbJUL0lx1PvmsFRXD6z%203LHsM/1D5FBlcQQMKfERiccsFvhZdaIj3LvdxKoonDT1NTq9h/oVri4mpolIu4NaRUFuAB9nVdJi%204lNH8TXxMG+3JkYeMKtx1VxJ7AryxjaEqzjtmsblurC8lxqWjDs96trNjQt7GO6EZttlu287jHt+%20zWj9wu5MooQXuFT3LbeybVpVm6Frbx20d69PflIu5vIv+ZXflNBDztsHiDhnpe46S33Ln8zfZy0t%20qiLGFlLiekOO8U49x2xjstnsYrSGMUboaNR9rj4iqGUnJ1ZtJZeAIAgCA1D1Uax3Epw86W6mVIND%208Q6rbZTc0lxKX3C2sOdPD8zjodqjdpbSJx0xGup7Tn7aK8ybCmutOXU+TFmzn/TXlMRHKNRDcMBg%20W+9fId7wlCbSX7i/2XOdm6nXwNb9UePtjmj3SAUZI0ebpGWGCi7Pk1XY+R+nfae6etZUWc7OTcKK%20+Ox6H00x786dEDGVa5gYdiD9hl7TEZNwt2V0l7g0HM4lar0qRbNGTJK234HcdkhNtt7o2SAxtYdJ%20poph4xpOertXG5Eu6dWtT457jytXX8/uFvu7mQSeTIWTaXaYzkAwVb/p1WV3Gq9VocZtO7W7d2k9%20TlO4XF9ud7LeblOZ3PNKtwbWuQHQLprKhago21Q6nL9zNx7YaU5cv8TJspIbYEyN/KZg0jqe4dFq%20uJzKVbrNuren25Ga+2huKSOaKgHUajAHp3rQm4lxj7h9xHXew27/ABtGpoBo12OfYpEMt8C+tbi6%20UT1MP/h78IYfCCfDRbv1ZJ/Xs+/8PRFoJcxpIrTR0Xn6tnj3D7VK38caACXsc0dNOQ7l4ssxjuKb%2005mBd8ZBkBBoTiaYCg6U6VW6GZoSbe46akceNyOfUOwqaAiuA7VJ/VImfr4mZt/GJXPY7CjfEajB%20wPctN3MSI97cEtEbDabXb2bRqjFQ7FwH7aKvuXnMoc3cteJkz3sULXxtNdL24swOmmKwjbbOUy9y%20q6LUx5NxkcXl46tJHaBkVsVsr5Z0m/t8z5+ukDQS8VrUj90/D/qXvpmP619SxNfPa57tVdJq1hxG%20o4EHtWcbZHuZbf5mNLI8u8QppGVa+49q327ZAu322fY4gK6sCcx7eiusPDq/EiSlUtXN3HGHFx8b%20RgOwLrcLFapQyt22yngV4JfUvj+IaDO/CmLvD29FZ51umOzptptUbPci5g6Ageff5G5B/u67/uXL%20bY/uR/mX5nkuB4f428wTRHub9S+tZK7oHGZ67kzru1XAuLINOJAXC7vi90WjhsmHbMFzY5hrOkVz%20K+U5MpWLjp9SN2Pb9SSj1M/cNvc5lu5o1ASgkjsMb8VfbZ7ujcuQtz4Fzd2Odm3Kfh+1GJHG6GrT%20l0V7u95RmnE56T7jKtr58Z0OJdH2dR7FSLJ7nRs0zsp/ElGBr2hzTVpyIUuOK5IhvTiDb16LCW1u%20XI87z5+jHYtL9vp8j31TE3GW0sIvMvJmwMGQcfEfY3NV2X7fS5UJeMrlx0gqmrXnO5436NsYWj/1%205hUj+FmX0rnbuzwi/NqdPgY0oOspfJGId0u9yn87cZ33Ug+AyGob/C3JvuWt2lbVILtXgdzt+VRm%20BuO1QXJLh1W21fcTscXOoiOHGYyccvYpP6xk97noZ9vx20YBqIUeeXJkO5uniXn7Lt9MMT7FgsiZ%20oW6+JgXOw2z6hoUiGU0TLW6eJHycWLneFtQt6zSbHdF1K4eKAGpbReSzjGe6rqSVvsFtHTU1Rp5U%20mQLu6+JmDa7MCmhavWkRf/p+Jafs9u7JiyWQzbHcS0/YGHJqzWUb1uJcj2SBmbVi8ls03Nz8TLjj%20tLdnwjBaW5SKnK3RdTFur8EEMwW61ZbOZzdzctDAaHSOr07VfYGDKTRzl69Uj95fATA1wDi2WLST%202+Y1d5jWJQtNeBM2pP1V8T3VH/Zs9g+pUiO4ZUvQEAQBAEAQEJzeQxcR3eQAkttpDQYnJbbNO9V6%20mFyNYtHi7c9y8+3aakvJeHA4U8WYX1HFtKP3I4eFjtuP4kvwXcdM5t5avZLg5jvgcMlD3WwpQIO5%2022qTi6Sjwa4kzybimzX1uRb27ba6aSWPBNCT0ovh26W7mLlNcbcuH7TsPZHvOdm76WZPuty4N8vi%20c1vdovbGXyrmF0ZqQC4EAgdR2rKF6M1VM+8Wuy4k4NSi+nQQxUoRjX9i8lIsLVqlKE7xi0sLuR0V%20y0FxfqxNNTSKUHbio+RKUVVHGe590uYic4vQ3Oz2iKyc5lpkegxAHYoluM7/AC4Hwfft5nlXKtme%20yweGnxfE2hqFax2Zta/ZnMOcTM226fb3MTWamu1ARxkkNI64+1c3n4va5J/eXG35vp6VNM3e48/e%20bx+Ae4kVbkOhHsXT7JbUYdSwzr/qS7mYkhBOofCWmh7mjxD3qfmT0pzIcTHoS5pJo+niHa0/CFz7%205m4+gklukjSagnP4Rl/rXgDBRjXN9uP3QVLsw1qYyZfaAGEtPhdQN7hX61dYtnVV4mtsyHO0F5B0%20kOqymdadnYr7HhU1JEduEg0NZjqJ1e5WtpKhKtIgruYmoBIrk1zRl3FTrcaUJ9uJEyyH4+rTQDsU%20uCJsYmC95qSDXPPvW6nMkJGNI4kkHEUGA7+9bFE3RRacXaST93Ci2UqZpFlxxrnQVPWtVkjYihxz%20H+lO9eo9RS51D2UyHRPiepG3cH9KObc1nDNksHG1Od9OHR24/r0IqqvL3izZ0+qXgbIwbPRXp98p%20Wwbb5N7yq4O43bSHGzZ4YWkfvAgu+hc1lbxdu6cIm+NtLid42rZ9s2m0ZabdbR2tuwUEcTQ0e+ma%20qnJvibDMXgPD3Orkx8v34ahX9bPhXH4zT2L6ftEa48DmM6FbzIGx3OWG41RtaZGtB0uNPaFZXLKl%20Gjf2/wASJcspx14HQ+NcgY9kfjaQ8UkbXI9QudzsXjp8Pgc1nYb10NkexkjfNhdgQNLqV93cvnm+%207GrvBUfMqoyadGfBe3dvIXNaXUOkU8QyzXz3J2uUG01oW2Pud2Dr3afcVturOXQ4kCRrSQPhxrlR%20V7tyVTqcP3fd7OyS14F653ZzW6Ig0eHSI2nocx7Vhbx9asr87fpXINN61MKJskjnSvJAyjJz9lPt%20XS7XtkrklVHMXr7k6syg10cFcGj7xPXv9y+k4GEoKn3ERvuka/yySOS3tXOfpcwvAHb3lTb9qjSL%20Hb4NSl8jXfDppQmtDU96iTs1dSyofPeNbcG9/RaZYqb04Ch8wDtLRj0HUHqsP0deX+Io+Z8MkYBG%20rw5V607KL39JzpqeqLKiDQimfhAOQ76rXPFa140PCh8Y1UrUuwPcPxHsVVfxeh6pFny6swwz0nPw%20jMqrnimzu1HlHU7w+IAU7KEfWV5DCY7tC6ISDUYDAmmZp09ysrGCa3I+vljjBJNBWo7ic1eY2F2h%20RbInct4Y0ksppbUEVzKu8fFokifYxepq7ru93K5baWcMlzcPdpbFC0vea5eEZKwk7dlVk6F5YxGd%20j4L8qfI94ay85Xefyy2JD2WkQEkj29jydJaqXJ31vS0qFvbxlF6npXinA+J8VsYrPZNuitmQijZd%20IdKfbIfEfpVDOcpusnVkkn1iAgCAIAgCA071Xp/wfcV0/EzB4q0+IZqThqt1IpvcH/Dn8vzOKP3F%207ZyAxsVHatTcHAZVH7vcunVqsa1+3Q+VK1VFdzGJIqglr2MIdXsJrVcX7k2tzj3R5a/4HtuXbIyZ%20BHu22PtZRTANk1YgOAo13sXy2UXZudx9Z9m7/KDUf9P5HKOSbNJt1+YgC9mfmAHSfYujxb6uRqff%208HMjetqREV8WHXr9iklhXU+DKlaVOPavTxcDZuG7O643i2L20irq1+w9FX51/ttsqd1yVC06cTrO%209fp7eLy2EPloHOJ6NYMh7VzOKnJ1fA/PvubcO6qXBmvDzHapC6nmMecfvAtwb/VXRY+F3xryPnXr%20tS0NEBfSRtdOJDQMiVbfpFFV5nSPJk1xKGyuBGdHN0iuWaiStKtD2N5p1fUzYboVOqr2BtQ38IGd%20FFlAtbOW1o9TOZfRFup0bvA3HSQABTCtVpdos7e56VZQb+FxGkFri0FoP7ap6TM5bvp9vtoUm+gO%20bX4DA1GX4ll6RonuT+P24gXkGppIJqdbnDKgwwXnpuhmt0pJ9K1+LLrJbYVMgoQdLycT4/h/Ysex%20k21ujjRV+zK62jCBgx2NXdKdPpXlJEl7ty+75Fl91DG2ukuJA0lmBA6H2LNW2yDkbu2qdTEn3CR5%20I1/DgR2ntK3QtFFfz21Wv7/gYRlfqNDli5x+o9ykK2mV077KdTjRxNHd/wCHqPYslb0NbuHypJ1Y%20OJrSuVOg93RZqy6GPfrqVCMUbj4DnXt71Khhzboa+4++FrHOIAqPETmPYrvG2vgNWzFut0ghaKOD%20n51OWC6HD250SN1vHlIgrVvIOSbibHYrSXcLuQ6RHGDpr08Ro3D2q5bs468z1OgxdudNUdw9JPlq%205DY71Ycm5TeNintjqj22OutrqU8bsWn3Kmzt19VOEVRF3ZsK3wPSypzcQXPf8j8g/wB3XX9y5bsf%20+5H+ZfmeS4M8P7cQwxE9Gt+pfWZqsTi7+tTonGbrBorgufzbdTldwtk1utl58EgadJLTQ96+Zb7t%20adzvWhp2rL9C/Cb1SkjT9n5dutnfxxXZMltA/RM41waTQVXIZW3wo3HSXI/U+RsONmYanbWtyFUb%20zuDmFzXxO1RSAOYR2FT7G7yv21Gf1R0PzPvW1vEyJRfUxGuOoLO1dfeioaJGzuHxEEYtObTkV222%20uqIt2CZRuvMtn26OtxLokNdMI8Uh9gH1rpI2YpVMsbart1+VadeRqN56j7jdF0diwWkZNBKTqlp/%204W/tWq5w0Re2tjt29Z+Z/gRsksk482Z7pZD995Lj9JVHmQ0JSSWi0RiPFHVXH5dvUkQdC9BOWlU9%20yBZ4+RRmfHfNpioztlxb3BpH1+4gDBeKyez3RmNJuLzkt0bBBu7k2Wm30lVn6BGWfIvM3F4WDsEq%203uUkX27q6i1uwSluzKX7q49V6rBhPdZFh24PPVZqyRZbjJ8z4L91c176Jis+XUut3Fw6rB2TdHcX%201Pp3R3avPRM//pvqWn7i9xwK2RsEee4t8zHmmlf1U21gyfIgXsqUi2QANT3AAZkq+wtmnJ6ohuTZ%20G3W9yvuGbftMEl9eyYNgt2OlkdU0wawE5rssbBt2I1m1En4m2TuurRv3Eflt9QuRT2u4cknj2Gwb%20I2U2rvzbtwaQ4VY3wMrT7zqjsWvI3SCi4W48ebOmxNuja15nrJoo0DsFFRliEAQBAEAQBAQHPw48%20K3oNNCbSShrT7vat2O6XFXqePgeCpbov8xsjy4Ne6pGABB+GvevsdmHlWnI5yVuktCb41fvjuYy0%20nOp1YED/AE6qJl2k4src61VM6raSsvLIOJBBxrTGrchXvXzH3FtXrRdPqOQuxduZi71ttrulibS9%20bomZQwSN8WnV2uXy/wBK7jXNfmd97Z953MNxi23DgzSbrhu42VywavMtnPo2RvYO1T7eXCa8T7Hk%20+77Cx++2+K+422DZLCKMSaB5paBqGGWOXRV88iT0Pke/b7+pTSbfQz7OIeU4yur5p8P3cOwLrdix%20U6M+f3JvivmXI71rnhhFHE0pXp2ruJ4OngapWtKl7y9U0MsbdcjXgjxUFOwLgvcG2urceYhJLjwN%20LeCbq5NBq82tO6pr7lt2XGfZV8KF7KSaVCxKBpwGMZo0ZVL/AOhbMyNGexZYdWuGFQ4B57QPEFQS%20g6/M2pnwNIDW1xAa4nIU7O5ZwtNup42X2Rt1GQg6cSR+6fhw9qs7FlswbL0bRpZr8LQKOH+nVXuP%20a+81SZTcSBri53xDOmOo9yubEefQytogL24OlznUcTmK0NO5WFq30J9qHQhrqXUTSoaBXF2XvUy3%20AsLcSPmlq6tPZ0/YpK8SVGJhyPzJOFcuuC3KPM3xRYe8VJFQTkOn0rNJGxItOdU4/e616hZGaRac%204U9ufTFZcOJmkbvwX0b51zKdn8usHwWbj4r24Bjj09rS4eJVGXvNq1VJ90v2m6FlujfA9I8D+VPh%202yuhvN9kdu98wB2g1ZE19fwgkOHtXM5W63r3F0+BujBI7ZZWFjYwNt7K3jtoG/DFCxrGj3NACrTO%20hfQBAEB4O9QXsHOt9cKEC9nDzXteencvq2yr/awRQZifezWjJ4ic3D4H5ZdqtlE0dpMbTvEtuQat%20IJxoBWp7lDv46l9xDv46lodD2HkIcGRyZsNKZArnsrBrquZzWZhU1RssUtvO06XUfSuBoAVzGbtP%20e9Vr+ZUyjKLKX2zC8kUqPEKN+93hc1f9vp0oqM9jPQMs200ubR7cWuGfavbXt9RaTWgd3mi4KRRu%20eHA0B06v2rosXb0nRL9hg3V0Ijcd0JP5ThWg1dWima6KxjpE+xj9SD5NdsktrVwNQ6urCpqPsUfJ%20ttNaUJ+DbalJGvi6dqoHfD34UGSjOBYu2WZNyxLneGSpJbWlFkrJkrBhybtXTVx1aidWRyW9WCRH%20HPjN3BdUmpLcKdMUlYPXj6EhaXxLmsc4ljne2gUa5aqRLlrmSUMgc3U2jqmlMyq+5jqpElA+gNBA%20OOnEYfSFDeJU8Z81sNASBnjWns+hbY4Z7RmHdbjHC0gUriBQ19pU+1idTfbsNs12+3maab9PbNfc%20XbgAyCNpc9x6UaMVaRswtqsnRFxi4DlyOicE+Wzm3KGRX/IJP5Ntkoa4QnGd4zIczwuYVX5O8xj5%20bS+ZfWcKMT0rwv0r4VxC1ZFtO3RiVoAddSgSTEjrrcCVQ3b0rjrJ1J+nBI21ajwIAgCAIAgCAIDS%20PWN4Zwe6eSRR0eIz+MKdtirkR+f5FTvariyXwPPW4X1JtbqOLnVc3rTuXZ2o0XyPnNq1VEttm5xT%20hjW+KWMVcehVdm4aao/pZCyLLj8DODjbTCWB58suAkHSrug7u1fKt+2h9zklTr8jbg5crU1JcUZ1%20xa7dvEH6eWMPcA7yn0xaaeL3LiVKdl9yZ9o9u+50kk5Ul+Zoe8enc0Lq2T/N14sDfvO6j3BXNjdE%20/q0PqOF7ghcVXw5mDZcE3J7HOmHlsA1trnprSvsW+5uME9CXd3i2tIs6Xx/j1jtdiGMIDgAZpuzD%20ILncnKndl+w+eb9viabb+CMHdLwXVxqaMHMc3vowUr71YYWO9InxTecv1bja4HyOPTHUDU4w5DMj%20T0X0PDwnC2vtX4nPN1l8znr2kF+lv3zWvUdixu2qKqWn2/A6VPgWyKSNIGrGgr1CqLth60RnF9S2%20HyNIIPWh7DU5exQpW+ptjca4FRmec8nYOb7OxYq0bXkSqDJK6jQ6pPQZ6Rkso2K8jH13Q+1lNXAm%20urBwzJ7FmsZtcDD1mA6UCoJDT4u8U6r2WNLmhG81ofWzPBNAPEQ4NPctDtG2N98wZzQ1FaOJr07g%20F56Op7+pZ8MkxyJD3HUB2E5gLZbsJmt32Gxg4B1WA+LuCnQw5GhyLjYqhp+8WnTXqa4KfDAquBi5%20B4DSQ2hIpp7P3gt6wpPoeLUpc4AlpNNYFK5jT2KXb298z1Iw7rdreIkucKtzLsqdyuMba0uCJFvG%20lIjdvm5HyW8Nhx3bpb66c6mhja6O8q1n6Nj62XWNtDfE7JwX5Vr66c2+5tf6WOo9u12pOnvbLqH1%20FVmVu0n5bei68y9sYluC4anf+N8P41xqzFnse3xWMGFWxjMjqSaqolJydW6sk0VakwsT0ICC57/k%20fkH+7rr+5ctuP/cj/MvzPJcGeGYZAGx0/C36l9dpocfKOrNq4/fFj20KrMq3VFLm2ao6Bbyi4tu8%20Bcdu2J3waOYnHtkYG42m3O2C9s/0rWTSHzBM0eJzh2lfI7+Jdt31KuiPq/sz3tOxchavyrCOi8ER%20nHbq6dYxxXBNYqtoelFk4qE6rgzZ/wBlzx7t6Ny1Sv5k3G2pCt8W13NHyhsyX+GGvVdvtlulDUtW%20cr5zeuO7MaTkw/WF1creiO02i1/SIzbrirx2KJegS78NDZoX1jaqTKgVElqUyNxXL5dnU9iyzQjE%20KluWTdGdD6Hu7Vo9Bmz1WKPJzUi3iNmErjK2wuKsrO2tmlzKvKHapT2w87ykxHtUSe3MyUynyio7%20wGe+oPKK9WAx3jykeEO4pMZWDxD3uHlrWsRvgO4BoW+G3SlyDkUzSwW7DLK4Boxp1V5hbE29Uexj%20KToixslzv3JLz9Dxra5d0uidP5Lfy2d8khoxv0q+WHYx1Wb16cy2sbLOb10R1ninyw73uYbc843Q%202sRxG17a7xf/AGk7h+xrfetVzc2tLS7V15l7jbXateLO48Q4FxHiFl+j49tkNiwj82Vo1TSHtkld%20WR5/iKrZ3JTdZOrLFKhPrA9CAIAgCAIAgCA1/wBQA08J3oOOlv6SWpzp4Vux6+pGnU8Z+fL5KTva%2034dbvYTU0JC+1215U/BFPOOrJXbp9D6n4sNb9WfYAFHvQ5Mr78Ko6RxndjoaK1Jo0gZAdAuaz8ev%20Hgcxm45tro45GUeKtdmGnr7e5cLumzK7wKVSaMd9vK1rdD9YGHlnL2rjcrY5R1iWFrPmtK+Utts5%20HE6zpFa4dQvLG0tuj/zNc7xdmjZHA1uvSAcHUqa06Ludn270o04o0xnV8DTr/dZYLupOoOFCAaGt%20V21qx3IurVhOJt3HLl13asla4ENxrTL3Lmd5xE21TiUubBQk0apfODbqdo8Op51HImpVVh2FFNFv%20D6V8C04a2eLqKE94+FQcy00/A2RZYc3UDhWhYB3nrRUsrEq/b5GaKtPiIdiNVKdlTiD9i228fU8b%20L7Y/GADQtJZ3aWjCqtrGNyZg5Hx8gDcD4SMa9Permza5czyMasir68qerWs+HDElWUYEy3bIC5uM%20AXHUXGrsMQp0YeFCyhbI2eWriD1x9/sUqKrqyXCJhSyUqDmRn2FborQkRiY8j2gjrTtzWxLobUiy%205xe8Bg1OODWNzJPcFk2oqsmkbIxOg8A9B+fcyfHJDZu2/ba0lvLkeWQO1sbtJd7lTZe+W7dVDzSN%208LTZ6U4N8sXAOPNguNwjdu+5xGr5pv7Jx/8AhHUFzORuN67xdF4G+MEtTrtta21rC2C2iZDCzBkc%20bQ1oHcBgoJmXEAQBAEAQHgL1ClB5/wAhIbRovZhQdvmHFfXNli/0kCnyk+7XiQaskyGXIpI2uGbW%20kUJ617lg06GMk2Sm37k+NsbHOcCcNQNaj29FFvWU22iJdsp1Zs+18iezy2B+DRqc8nAj2dqrb+It%20WkVeRhJ1ZsdtybSG66a3HVWuXTFV13b03VcEVdzb+hkS8jZRxJ7zTCh7AtUcFV/I1RwWRd9yJr2E%20NcWMypStKqXaxO18CZZwWmQj9za+bWSQGkAsrgR2qarNEWCsUVBv9yP09q9mDX1/Z9iqcuDTVeJj%20iRpKSICe6rVzaB2Tado7lGjbLCNsiru9cHPJNZDiHHEE9QpNu2TLdqpgSXr3OAc4Vd4RToR9SkRt%20pEmNpIQ3JaWkHU1p6H9lUlConbqTNpeOBArpofEM6exQ7logXbRKw7lhVhAIOY8OCiytEOdnqXJd%204IjoXBpB8OFTTrUrBY9TGONUhLnkLSPKiDpJiaCNgJc6vYBipX6dR1k6IsLOA2zfOCehHP8AmcMV%205O7+TbNKTS4nb+cQ3oIiWvFe1QMndYW3S2u5lzj7fFKrPSPp/wCi3CeGWzP0lo273AeJ9/cgSS6+%20pYXCrQqG/kzuvzupZQSiqI31aD0IAgCAIAgCAIAgCA5566ujbwO5c9ocA9nUg11jIDNWW0630nwI%20G6JvGnTwPNN/dvklc2SjRSjj1b3LvbVuir05HB2baS0Lu17k+OYOaatOJA6UwWN+0qU5GGRYTRu+%2033ENzGwSu0tkxc0d3auW3HB7k1TUoLltxZWfMt5CYycCagdn3ady+Y7psqi3KPD9vP8AwJOPmShw%20+3UkIN6jIBmo6SlBI3MdzR1XJ3cKUXSlDrsD3NctPj5S9NuUMgrGaUbiwAUB7PYtEcdriXkvddY6%20PXx5+JhXW4t8vyoqjGrq517x29il2MZykczuW8O6tft/gYlvD991Ghtaf1s6967Tatt566tcV9tD%20k7tyrM18TRbPBIbKIyfNJpRhHhAXZ+ioRa415fmalxRzh7QJJM9OZJzGPRVkknT8DpE9EW3MAGot%201NDaNaPr9ir549V9vxM0+R8MdKg+LSRl+E4laViN8BU+tiIBr93LuDsh71ttYVeVDxyPpaxpofio%20Kj7PcptrArQVbKiWNINQS3MDIu7VJ/Q6Upy/A8VWDGA1wHiDcNXQtONFquYKS4BSKXQipd8QwIPX%20Dook8FN6fA9Uj4IcAa6Sa1IxrXILGG3xXyDkVtgHhbSoqRXscM1Kt4SpWlTxz5nwuDSDgNR1HTiR%200op1vC+8JFD7qJrdQxq0gN7PYpcMOPPUyVtsib/fbe3YSHBooTq64Z1UzHwObROs4cpMq2DZ+acv%20kbDxzbZbiMnxXbmuFu3V2yDJbL1yxZbq+5l3jbPV+bQ7Fwj5UIzLHe82vv1bmGp22A/kkd8g0uVb%20kbxcmnGC7I9eZcWsWMOB3nYuMbBsNsLbabKK0ibkGNxypi44qpZJJRAEAQBAQPPv8j8g/wB3XX9y%205bbH9yP8y/M8lwZ4Ojl/LjIy0t+pfYktDlpR1ZN7Ncua8CqiZEKor8q3VHRtgvS4NaVzmXaOTzbR%20LzwA1IC4TdNtUm2kQoToY0do1rjRoGrE0XOY20yU3GXAmXsuVyK7nWhlMhoB3Lp8Tbu2hCcizuFx%20HHbOrhRdPiY9GjZYg3I4vzC5L93qDUaTT6V0F2FFE+gbZCloxttlOoe1QL0TbfibZZS6mtCpsiFS%20kuxMxzaqjyMepoTLRYaqrnimaYEX0pDCqw5FelrBVWmPgGNamJc7pDFgruzh6G63juRhs3yKvRSH%20hkh4jMyPdY3gUoo08M0Sx2i+25a7sUZ4aNThQute09QtbxEYNFR8vtCweGealmeSJjcCCVre31Nk%20ItmDc73YWwpI4aqY45Kwx9p04Em3iTnwMrj2wc65lM2Li2zyzWzjR25TAxWre0+a6jT7Bitknj2O%20L7pdEXOLsknrPQ7Lw/5V9phkjveZ7k/eZxRztvhrFah3YT8bx7aKFf3O5NUj5F4F9Yw7dvgjtez7%20Fs2y2jbPabKGxtm5RQMDB76ZqubrqyUZy8AQBAEAQBAEAQBAEBAeoDtPCt6dQGlpLgcvhW7HVbkV%204njR+ek1POlIwBe7LLNfbrSpBU6IqpcS/ayhhBoNf3a4jDuWE4oj3I1Nn2beHQytDHeEfGKUqSq3%20IsJ10KjKxqrU33Z+QEt8oO1M+J1RUjV3rn8jEaOeycNVrzNiZeQPiGkjwGpwxx6V6qluYZWO00y5%20PJE3xmRpqKkN6HsWmGCo6GEE3pQhN0v2uaWNqHUyBy71bY9jtLHHs01OfblMfMD2A/FUFxqa966O%20xHSh0ViOmpuPp9udZfIc4OLRraBhWiqd0x6/PQo95s+WpC8guA3dpA4lgEmZxFSajBc/j2aJlhi2%206218DIjcAyrnVyp7/s7lAybFTS1Rn3R8Daio1O7qHHBVUserbR73H0RtFGitT48evWhPct9qxyPG%20xI9tBQgA4yOy8RVlaspHqVSLvb0AGOoDSdJw7Ma1Vhbt9CVat9CCu750hL8QaUxONe0KdbtrmWFu%201Qi57g+JwFR8OPQqXGLoTYQI+SYdueZ6rfGPXkSYxMdvmyvayFj5pHnwxMBc40/dFSs5yUFWTojf%20GDOl8C+Xf1A5XNHNcW/8q2t1C+6npq0noI6hypMvf7cFS2u5kiNk9McB+XzgHE4mSOtG7luA+O5u%20miQV7WNcDpXNZObdvPzskRgkdMjjZGxscbQxjAA1oFAAMgFFMypAEAQBAEAQGB/Pdr8t0nngBj/K%20c0/FqrSmnNetUC1OGepnyxjedxut94zfG3u7pxnmtJ6uD5Hmp0nwhtT2rptq9yzx4K3Jd0CNesKW%20pwDkHDeWcbu5Lbe9tlt3xHGVrTJGR26mgtXbYm64+QvLLXoVt3GceBFNfG8Oc0jRQan069w6KeuR%20Faa0Km+Y1rmNHiaak1rQdy8aTozF0epcincD4H/mHENyaO4LCUV9uJjKHUzot0ljY2mLNBL6mria%209q1Owm/maXZTfzL/APOpMfMJ0xkUHtFcFrWOtKczX+nXLmWJN0keCNVJBiBXADtWxWV00M1ZofbW%209c7x4AvIYDnqrhVeTt/h+w8nboZ+9zyOtrYudSgLBQ0ADcMQqHMgqr4s0Y8EpM1+4kNdDMQBV9DQ%2006UKjxXMsIR5sjJ59OVXaiS1pPX2qTGJMhAwHSOM9ABR2YGFD7e1b0tCSo6F+3fR2ltCDmA3TTvx%20zWEka5rSpIRThmnMaMe89w7Ao8o1IsoVEm5vbpGoFzjQMDaur0FAvPTS4iOPXkbtwH0X9QucBk9v%20C7bdnkJbJfXOFMaeGIlryqzK3a1a0h5mWNrCXFnpr069AuFcQtopJbdm57s0fmX1w0P8X7gI8K5z%20Jy7l5+Zk6MIrgjpoAaAAKAYADsUUyCAIAgCAIAgCAIAgBIFKmlcB7UB8DmkkAgkZhAc1+YQ6fTe8%20kAGtj4y1xNKeNuQ6q02b/kxI2aq2ZI8rvuWucQ4lxJ8RPb7V9IcX0+3Q49WWX7aSmdS050wxWuXU%2003EbFtd+5lATQtFW0NaU6e9V1+1V05FVkWUzbbG/ilaAfFqA1g4Eexc/l4SaaaKa5bcWXpLaGSjt%20QoXEGnhqAKjDouTz/b8Z6rlqYxuOJabbuAJacNFS2vSvw1+1U62BxknT/M2eu+BX+njYDUF1fhBz%20Dete9WeLssUu1r9hrdxtlYkDQ01rUjUwjDw5Cq6TFwezjx5GNC6NMjZn1Ikc1+qoq1goafSpV2FI%20/ALijnsgGuQDHVh7wfqVNKDXHqdFHgj4a1J6kVDew9ixVlt08fsz0aAxwNQGO8XtAz/7Ftt41V94%20rVFiWdtOyhJr2jopsMeK5GyMCMud1iY/S1xrmTSqmwx3QmW8ZtVLP848dNXhp8VOq2/ptDZ+l0Mi%20HdGmrXPBAOJyC0yxuhplj86GVHdMfhXT78Ke1aXZpqapW2j667ZgSa9AB3LyNhLgjxWmWJd1ia8B%20uFcaVyK3Qx3Q2Rxm0Rd/vrGMcdQYwCtTgR/SpNvF6kyzhtsyOOcS57zK6jh2Db5jEcG3c7TFDQ5u%20D3DSVjey7FjT6pF1j7Z/qO88C+VXYbB0d/yy4du1/wDF5DSY4mO7PCaPVLk7tduaLyot7dmMOCO4%207dte3bbbNtrC2itYGAARxMawYYY6QFWN1NplIAgCAIAgCAxN32y33XarzbLkuFvfQyW8xYQHhkrS%20x2kkGhoexexk001yB409SPSHfuB3zmyh13sD3hlhuoAp4vhjnA+B/SvwlfSdp3yGSlGXlu9OvwKP%20NxHDzR+k1myjkjeKhW1xpopbsk0brsd0WkKmyYHP5dupuVrO2WPHNUV+wmUNyFGXSGDM07FEjiKt%20TDUx57trGmim27Bshaqatvu60jeK4K3xbGpc4eNqco32fzL8O7j9asMuNO34Ha4cKQoLCShCq7qF%206Js+3XFA3vVZdiU9+BMwytIxVdctVIEolyrVFeOY0KXzMYKrdbxz1RbIfcNzDQQ0qzs2CfYx6mr3%20u5OLzirS3ZLm1Y0MOO/JOa3O2b5WSRt79wAxUedoiTskjDuZ6lRpWCLPHMn+bhozWv0DT+mMS75G%202FoJdQnBo6n2BZrGXF6I32sByeiNu4f6Q+qfNA24trQbRtb8Rfbhqi1NPWOEDzHe+g71CvblYtaQ%20Xe/wLixtMV9R3bhPyy8B2IR3W9MdyPdWkOM15hbtcPwW7Top/HqVPkbhdu6N0j0Wha27MYLRHW4Y%20YYImQwxtiijAbHGwBrWgZAAYAKEbStAEAQBAEAQBAEAQBAEBGbryLbNqlay+kMWtuphoTqNaaRQZ%20otXRDmX76ytd32qazuAf015GWSAYHS8L2MmtVxDR5e5/8qe+WT5Lvic/6+38ThYykCapNcHnS1dv%20tvu3sioXlouaI13GT1RxDeNh3rY7x9pulpJZ3LMHNkaae53wldnibhYyUnbakmQpW2uJZguy0B2s%201wq0daLfO3X4kedupP7dvkkVGiTPEsGBp0BKrruMmVl/ET1obNZ8iJjBNRU/dNAFV3MNd3gVVzE1%20JIb9E2v5gNccQcFGeI+hG/S+BHbjuTwwua8Br+ubiPxBSLVjhVEm1aTdDU9wuSav1EAnLrTu7Fb2%20oUVC4sW+RL8S3D9PdsfWpfhqaafWoudY74kLcbPdFmDvm5yTbtKS4kNeCBXr3nqudVlRqiTjWEra%20+BMWd8NAbKcKV1Doq27arwIF210JDz24Pq3S0eEdPbTtUb9Mq6Gj02WZb2NrcXF5+IN7a9VtjZT1%20M42qkbe7kaBrqBjiaU6e1Srdok2rJB3d7I4FrjmMWjKnepsLVGWFuykRlxdA1Nfaez2KVGHVEyFs%20xGfqrqVsNtE64ll+GONpe7On3arKcoW13TdESoWjqvCvlj9QeQyRT7qG7Lt7wJPMlo+RzfwgNNQT%203qlyd/hT+mqsmQsdT0nwL0N4DwxkcllZC63Bgxv7oNklB66XUFBVc7kZd286zZvVtHQVHMwgCAIA%20gCAIAgCA0vcdjtT6ibdduOmOWGVz4dQDXyRgaHFmZLV4ugouZui9BYvrCyv7Z9rewMuLeTB8UgDm%20n2gr2MnF1WjPGk1RnHec/LFxXeXSXewSHZ797qiMf/LY5/ltFf2q+wfcWRYopPvivvNFzGjJUpQ4%20TzT0d5tw+cyXVo6728PLY722FQQBnpFXBdfg+4bF9dsvLLx4Fbew5RRo7Xta0VpqDvgcCHe8FXyo%20+D0IsoNOjKxkdB1Bhq5pyd3hefExfjzBJcXubqrTEk/d61XvCh5SlKltwOhlQAMaEZn2r1cTJcS9%20A5wpR4wq7vAHQe1YSX2+3QwmjM3S6raxGlHEGrnYihyCo9wt0aNViHmZCSvqBUggCtQMu73KJFE6%20KMC5ka4lgdpDmg45HsW+CprQk2401Md+OoaSNOJaCKB3aFsTNqLnmtPhLnFzvgJx0n2dqxaoq8jH%20sfQ3jgfpPzrm8pO02jrewJAlv7gUYw9wNHH3Kny91tWtI+Zm23i14np301+W7iHFWi73VjN53Y0c%20Zp2h0bHDrG0ioXM5W4XLz1dI9CXG2onXY4442NjjaGMaKNaBQABQaGZUgCAIAgCAIAgCAIAgCAiu%20UW0s+xXfkyGG4ijdLBI000yMBLSe6ua9VK6hIs8PhLNjt3vn/UzyN1TzatVX/eofasVUJmn/ADD2%20N9eel25xWNq+6nBjcGx/EGiRpJAzOCtNmuKGVCTdDXdVYtHkyF5cdGUhGMb2lrm+1pxX0xtPVcF0%20OWv23B6pqn4klbsdqNAcq06UWiWhWzZIW7iC1xIY04+EY4dahRrirpzIs0S1tfkDTU+YMWuHhJao%208oVepBuWfuJq13WMgeafyyBR3Ue1QJ4r5cSDPH6cTKO4WgrSQ0yrQ4rS8WTfA0OxIs3G9F0jpMBU%20aXY9ei9hhVST+JsWMYb9wD5GhxOognA4VGRUmOOkq1N0bNFoSljcTXMD2B1Xhp1jIENFcaqHkQ7W%20yNejSRp8jiZpXgN8TjpFKDV1b7FSxtunwZdxWiRZdKAC74SRVjjj/oVtjbRmokfc3nligd8OJJxA%20UqFupKt2qkDf7nqGrWW6a4Vzqp9qxyLKzj0Iea/kfUNOkO+n6VMhbS8SfCykW47l4dQvLgRiK407%20lm4oylbRkwXrjUSNBAxJyoFqlbS4GqdroZZ3bwFzX1Ac0EZUWpWTQsbWhiz745lTqINcMa9egWxY%206pqb4YdTYOH+nPPObXDmbNYyMtg6sl5P+W1oP8enV7lCydxs2Uv4pdCwtYHCp6H4L8rvGdoey75F%20Od5vW0Og1EFewxu1VCoL+6Xrn/iiwtWYQSotUdosbCysLZlrZQMt7aMUjhiaGtA7gFW05m0vr0BA%20EAQBAEAQBAEBi7pte3brYT7fuVuy6srlpZPbyjUxzT0IWUZOLqnRho80+qHoxe8Ukn3baWm640XA%20lgq6a0Duj/xRA5O6dV2O1756lLd36uvU5/cdses7f3fuNL25+kihqDiCOxXN1VORvqps9lelrRiq%20y5bKe7aqy/Pf0ZniFhG0a4WdSKutxrqAKlwsk23YNT326LmOxzVrjQLvDt6mh7gSbgexZ5/FfA6S%20x9Jes6iiqLhhdJ6ylLaKBciVl2JLw3IAUSUCDK2XHXmGdAsVbMVaMC73DwkArfbtEm3ZNfvrrUSp%209uBZ2rdCEuHkuU6KLGCKIag1K9kZSMlk9Oq1uJpcC/bzXNzcR2tpE+4uZSGxQRNL3ucega3FaLso%20W1Wboj2OM5HX+DfLV6gcgcyfff8A+u7dXxCUB924ddMWTf6yo8neorS2q+LJVvBS+o9BcF9DfT/h%209J7WyF9udKO3G9pLL/Vrg0exUd/KuXXWbqToQUVRI6AAAAAKAYABRzIIAgCAIAgCAIAgCAIAgCAI%20DRvUzkGx7TLsTtx/MkZfMlZCMSAGubrI/CKrGUqIwnOMeJuttcQ3EEc8Lg+KRocxzTUEH2L1OpmX%20F6CG5Nw/jfJ7I2e+WEV9CAdHmtBLCerT0K2Wr07cu6DcZeB44p8Tzzz35TrmBsl3xC8Mra1/QT/F%207GEADDvXXbf7unCivLu8UaLmOpao4Xv3GeScav32W+WMtnNkQ8VBA6hwqF2uLuNnJjW3Ig3bDRiR%20bk9pa1rvAw+GvXuUiVmvAiSsJktHvRo5jiWfvOxPswUSWPRkKWJzKn7jXEO1OcKsb2d4WKsoxVgj%20ribU4F1cWUq3J2KkQRLhGi0PthfeS5tTVgPh7v8AUly1VM8vWe4sT3YfckjAE5faubvW6SZuVukS%20UtLwsYfLoa0rVQZ2u4hXLVXqZZ3EaRRviwrXLvWj0TR6BYn3I1IqWn7pb9qzjZNkLBHXF+ACdVXE%204nsUuFrkS4WTDjN9e3ItrKJ9xcy0aIo2lxcScsFlOcLSfc6E21jNnY+DfKry7e2RXnJZxs9qaVtM%207gjPMamqjyN/5W182T7eOlxPRnBPSLg/CoWfyiwabxoo6/lAdO72uoFz96/O66zbZvjBI3NajIIA%20gCAIAgCAIAgCAHJAecuRbtye65Du2+3Uf6bfdqvrWLZtvqaut9ZEgYK/+a1o1KBduzVz/wAVRU+J%20WXrlxXuGkaJL+biehdtuJ7nb7a4ni8meaJj5YfwOc0Et9xU9lo0W913Jm3WhupI3SRMID9P3QTTU%20e4LyToZ27fe6VKdo3eDdIpJ7dp8hryyOU5SAfeb3FeRknqj27acHR8fyM17GPaWvaHNOBBxBWRqO%20d8u9BvT3kcUrnWIsL2Rxf+stQGyaqda1wVlibtkWJJxk6dORruWlLicD5d8t3Pdjkkk2trN5sgC4%20GPCVrR26tOK6/D91Wpr+qu2VSvuYLb8py6aK7t7iS3vYnwTxmj45QRRwyr2+5dNZvW7ke626ogTt%20OJacGYlpyIw7e2nctyqjFNnxro2jU8E0Ne6nVeOp603wPl7cAtYA4SNaCWs7A7IKq3GGkeR7ag9e%20RGSTgVJ1NLAKj+Lt9igKJLjAxZZKDS4lxIB1fi/1LbFczdGJs/CPS3mnNbn/ANk297rZr9M124aY%20o/bUgn3Kuy92tWdK90jfG22j0/6Y/LDxzjzRe8n8red2D9TMD5DBTo1wrVcpmbncvvj2x6EhWorg%20dqtLO1s7dltaxNhgiGmOJgo0DuCrjMvIAgCAIAgCAIAgCAIAgCAIDTPVu85BbcQlGzRBxmkbFuE7%20soLNwInmzza1ar0motmq93drpxIP0Rvd2ksLy0DW3HHYCz+U7ozKdxr52B8XhNOixsOTVXwNeLKT%20jqdOe4NY4nEAEkdy3sknMt59NvTznD5pILP9HfMqZdxtQ1j/ADPwPNDXtUzD3W9a1hJrwMcrDUlS%20a1kjjfL/AEj5dxZ8sogduG2s+C8g+4399p8X0Lr8Pe7d6kZeU5nM2eSdYar8TVWObocQSAyjdFC0%206ndoPVWfHx8fA5+cHF0a1L4kYCCXA1ADpTm0tyC8cW9DS4v/AAL7JXhrngNNRSQdw6rVQ1uK4B93%20MAQHmtPMYCfERlmvVbXwQVtdPAxZb5zg41aQ4hzgMwAKFbVb6/Zm6NmhYjvTrAc4jUfC1v1lZu1p%20obHa0Nt2K5rLR3iPlu1NdkfCaFVWXBUKi/bRq1zJSZ7S7AuNB3qjgtC1trSpH3VyKEVowZntUiFv%207yVbt/eQl3ducxpJBbXxNHQdpU63BV0/zLG3boyEuLgOc5zqUcQA76lNhGiLCEOSI2WdxlGpzRoL%20hkcqKSoqhLjDQROIGlpoX4Rk/EBn9C8a58uYkufQvi6o0EjUX/AxuLqd6wlFJVboYK026I3nhno1%206k8ubBLZba60224qP5jcUEYFaV011/sVPkbzZhVQ8zRJhiJ6tnov09+WDhvHvLvN7/8Ae9zaAXed%204oGuHVjSKrn8ncrt3nREqNpI7Jb21vbQsgt42xQxijI2CgAHYFXmwuIAgCAIAgCAIAgCAICB5vcy%20WewS38d8Nvfavjcbl7mtja172xv16/DTS+or1ogboTNmxjLWJrJDKwMGmVx1Fwp8Ve9AXHNa9pa4%20BzXCjmnEEHMEIDh/qX6Kvtn3G/cUiL43O8y72SMDCvxPtvr8vLsouh23eHGkLv09ehR7ns8byc4a%20T/BnLba4ABGILSWPaQQ5rmmjmuBFQQcwV0TSkqrgcLfsSjJxkqNFc9z4CUjDU1wt6kFd3dMip0LZ%20ZW7RD3svnRntUy3GjJ1qPazV9wjImZ7D9a0Z71Rc2ZaMqtxRVUzyZJwPoFFkiHNGWyenVanA0OBR%20Ld+GlV7GBlG2R1xc1BxUmECVC2RdxNVSYRJkIGDJJit6RJjEzti4/wAh5Bdiz2PbrjcbkkNLLeMv%20DSctbvhYO9xCjZObZs/XLXpzNsbTZ3ng3yhb1duhu+Z7k2xtz4n7bYkST/wvmcNDO/SHLncrf5S0%20trt8XxJEbCXE9D8Q9NuEcQhDOP7TBZyhoY+6pruHjrqmfqea17aKhuXZTdZNtm5KhsqwPQgCAIAg%20CAIAgCAIAgCAIAgCAIDjfrvaW22X228iDP1F3ftGxuik+BkMrjKXt/f1BRcmKdKshZsE0m+p0fjO%202bdxfidpZ/qXGysotTri4I1BriXkuI7NSkxWhNjVkZvHqDtTbYy7NfW95IxwZJECSW6snGnQLFy8%20tUSrWPWXbJNM2uzkfLaQyvprexrnacqkVwWSI0lRl1enhGb9xrYt/sX2O8WUV5bP+KOQV/bmtlu7%20K2+6LowcI5t8pVjcvlueKX4s3kVZZ3NTCCMaNLQXY966jB92X7SUbi74/iRp4yeqPPvK+E8s4leu%20tt7sJbbxHy5nCscg/E0iua7XA3jGyl5Xr0ZDuWWtCFFwQ0sp8Xx+zsVk7Zo7OZU6Y1o000jDtAXn%20NNHiiWWyEdSMCKjPFbEvxNjiUBzjOXUI7B1965fJS7mZyWhmQz6W1GOOHcokoVI8oVLjrvTTVQj7%20SvFBV0MFb6H3b7bdd3u2bftlrLe3L3UbFE2uJwxKwvXrdlf1HQk28Zs7dwT5T973Nsd5zC7O3QGt%20bC3/ALbL7xcHNVBkb6+FtaePEmwxkkehOEemPDuGWbYNlsI4pdIE104VlkI6uPb7FR3bsrkqydSV%20RG1LWehAEAQBAEAQBAEAQBAEAQHAPUd7mevGxENLwTEC1vfpxKiXVW5HUgXv70ToXqd6qbTxLb54%20ILiKXftIMNm4moDsnOott+6oRq2dBtu23MqdIKqXE5bwj1M9T+b8ki2Efpxt8zC7cblofSOMg4e1%202QUexfd5PkXG57TawZRn3dyfLxO9ca2ebaNv/QOl82CF5FqTm2LDS094UyEe1UOdyb3qy7qUb4/E%20lVkaAgCA1jmPptw/l1uY952+OaYNLYrkCkjK9WkfapONl3LEu6DoYyimqHCedfK1ulkJL3iF6bqM%20N8VhcfGcMmaQB9K6vA91OqV9VXUhXcKL4HDd62PfNkun2272M9jPHVrmyNwr7qrsMXcLF9VhJESW%20NKLpQhb6X8tjSMiCXdgr1WrcVw+Z7ahrUk+I8G5Xy++da7BYy3R1HzJwPy42nqSVzuVuNqytXV9C%20VCy2ekPTX5T9l20R33MXs3O6+IWTK+QB0DqgOqFzOdu9y8/L5YkyNtJa8Tvu3bZt+22kdnYW7La2%20iAbHFGKAAKoMzJQBAEAQBAEAQBAEAQBAEAQBAEBr/qDX/gffqAkmxnFB3xla7v0s13lWD+ByX0z9%20VOLcN9L9vh3Kcy7hrlP6GGjpQNVQSDTBRrN63C3Wq+RI2fbbuRBenHy83yRqtrzz1i5HzBrNlubi%202g3SStpbStAhjta6g4mla6apC9Nz0XlfU6XK27DtY/d3Vuxf8PA9Eca43/JY3gTF7rj8y67HTH4n%20qYkc9kX/AFHUnC0OFCKjsK9I5pHLfSDh/I5X3T7f9HuLwQb2DB+WBofDh7FMxc+7YVIvyrkRcnEt%203o0kvmcS5V6S8w4257mwO3XbHGhntxqkDfu+YDQe2i6fF3q1cSUvLL8CgzNgkvNadacufiaUJ2aj%20G9v51udJjdUBoy0nvV3FqWqdUyguWJQdHpUq0Fp8sgsLTUUy09hWLapXizXWuphXGqjtOf3j1p3q%20RHivt9xIhQwWyFrw2uJy9nVbaNkntqqmx7LdgRyNoHNa0kt6DDqoGVb48Spy7eqNcu70a3udV2ol%20xA6V6qijCvDQtbdrShGXNyHhxLiGA1AOQCkQhQmW7dCFuLkPbX4BnJ2GmRUyEaFhC3Qj556gHFjP%20w/i9ncpMYkqEDFLpDK3QdT3YNa3HPospTjBeZ0RvUdDp/p98vPqBysxXDrb+VbcaP/WXIc0vYf8A%200wAaqizN+hCsba7n+BuVmr1PTHp/8u/AeI+VcOt/5pucdHNvboAua790Cjf2LmcnNu3m++XlfLkb%201BHUWMYxoaxoa0ZACgUYyPqAIAgCAIAgCAIAgCAIAgOZ/MDbhvBTu73ufDs87Ll+3k0hudX5QZL3%20N16go+XDuttVoRc6332ZKtCZ2XcNp4P6d2Mm8bm6WG1tRL5s5Hmv1N1iNjc3UrpaFtTUY6vgTMex%20OdIRTlI1zYfVqXnL5YOO7df2c1gWPvJHtbo8qSoeyow83SKsCwjdU15Swv7fLGlS9RNrhXU6qz4G%2055DPP3rcVpzP1M9ILffTNvOwtZa7+aGaMnTDdBopR/Rr6ZP+nBWu37nKw+2WsPyKzcdshkx6T5M4%20DfQ3VrdT2N5C+2vLZxZcW8go5jh9Y7CuxsXI3IqUXVHE38SdifbNGt7i5zCVaWVUl2FUjGzVOkqS%204kxxI7dIqSx97T9arM56ol48tGWYxRV7M5GS2SgWpo1NH0z06p2nigY0t50WyMDdG0YM10Oq3RgS%20IWya4h6d815rceTx7bJLmMGkl2/8u3Z/FK7BRMnc7NjRusuiJtuw2d/4J8oW0W8cd1zO+dfXJo42%20FoTHA3I6XP8Ajf2di57K3u9c0j5I/iSo2kjvmxcc2LYLCOw2axhsLOMUbDAwMHvpmqdtt1ZtJFeA%20IAgCAIAgCAIAgCAIAgCAIAgCAIAgOM/M9dQ2nGNmupwXRQbix5DccQx2fci2+7ltW7SrL9hEy4ya%20VOHdqa9Z7zz71i242m1zW+1cbYGxXVHO8yVoFC3IrTes34zducXb+PE6qzLDxGpJ+tcpX/xX7am4%20+kvona8SkvL7d/Kvd0uAYY5mFxayAihbQ0Hiw6LGxZ9NU4kfdd0eTc7ortXQ6pFGyKNsbBpY0UaO%20wBSCobKkAQBAYm57Rtm6WklpuFtHc28o0vjkAIIP7V6m1qgcR518qfGdxa+54vJ/KrqngtCSbcnO%20pJ1OXR7d7myLFFN98a8+JouWE+B505h6a8y4jM+PedukjhDtLLxoJif3tK7rb99x8mlHSVODIdyy%204mrD/QK6RqLUjmtlePhaKU94XMX1WbNiWhJ7JsO/77O212SxmvpCQwiFpLQXZYquycuzZ+p6mcbD%20b1O+cE+Um9mdDd8xvBHDQP8A5fbEnMVpIXAUPbRc7l77OeltdqJcLMYnoXi/BeKcXtRb7Jt0Vo3S%201rnNFXO05Ek1VHKbk6t1ZtSJ5YnoQBAEAQBAEAQBAEAQBAEAQBAeb/mL2nnNryy23zZ7KSewMPiu%20rdpc+IxgAh/QalMwNsx8mb9W56c19PSpqUYq9C5Nd0Yfw9SJ9Jm+ku93gvOS7rI/fXOo+xvyGxl3%20/wBWQdR96ZHtvIxvPcXev9S4F9k+4ZXo+nZXo2/9KO+cUtPT3btwurXjYtYr6RoddRQOJeW40rUl%20RPSceVKlXO/O59TrQ2peGoIAgCAIAgMHddj2jdrSW03G0jubeYaZGPaDUe3NZQnKLrF0aPGqnKJ/%20lW9Npd9G4hsrLIGv8qB/J78a6/2q1ub3kztq25cOZgrarU6psfHdk2GyZY7RZx2drGKNjjFMPaak%20qpbb1ZtqSK8PAgCAIAgCAIAgCAIAgCAIAgCAIAgMHftph3jZb3apnmOK9hfA97c2h7aVC9To68Tx%20qqoeYbz0t9QPTbe3bzZbdHybaoXDyWGrpdI/FGAaK87cDKp3R9G7/qWq/cbIZd61a9GLfpdFxN/4%20v8w/H73erGw3DaDtJmb5cty9mlkMoGMZcQKUyXmV7fv2rfqKkoeBoV6ro9Pidi23dtu3OJ8tjcMu%20I43aHuYQaOArQ06qllBx4o2GWsQEAc1rgQ4Ag5goDT+X+lXEeTsL7q1bBeAfl3UI0uae0tFA73qZ%20jZ92y6xZHvYtu4qSRxTlXopzHYTPNYg7vtuk63MFbl3sjaF0uJv0JpKfll1Oey9ia1t8uBzqeok8%20qRpZKzwyRyDS8e1qv7c01WL8dNSmnZnbbUlRkZdeFxLcCCpio2SbOvEyNtvXslIBbXQ6gJo04dq1%203bVYupqyLGlfH5mu3F8an8Golw+wKhja0LOFkjJ7kyAud4RXA1yHYpEY04EuFunAw3z3FxO2GFhd%20NJhGxjdT3HIDT3rY3C2qydESrVg6fwL5befcmcy6voTs23upqfOCJtLsy2NwVLlb9GNY21XxJsLC%205npX0+9BOCcNZHLDbC/3Noo++uBUu/qEloXOZGZdvPzs3xglwOjsYxjQxjQ1jcA1ooB7goxkfUAQ%20BAEAQBAEAQBAEAQBAEAQGqeqfFL/AJVwTdNk2+SOO9uWNNuZa6C6N4fpdTLVppVZQjBtKdeznTjT%20wMLkO6LXU4z6cWnCd43R9p6l3lzFzLbHaHbTu8vkWwjjFGugrpa5tB+L3ELdlbQo/wBSLd20+Eun%20g1ya8S2W83Iw7LSjZ017fqf/ALPX7jv+w7BsOy2j4dls4bO1uJHXL2QABj5JKVfh20CjJUK6UnJ1%20bqySXpiEBqHqD6abNzCzHmH9Hu0ONruUbQXj9yQYa2HsPuUzDzp48qx4c0RsrFhfj2zR5a5rxXeu%20P7hJt28WxguAXeTKAfJnY378Lzg4UzGY6rvttz7d+NYvXmuhyl7CnjSo9Y8maO6rJaFXy1RIWqKd%20ydq8k/un6wqXPXmRlYVKmFrooVDfQpNwAigeqBjTXzWg1NB3rZ2JKr4G6Fmpu3CPRD1K5lKx9ptr%209u219C7ctwDoItJ6saR5kn9VtO9VeTvNm3pHzy/D7ydbxep6E4B8q/COPvjvN/kdyLcmHU0TN8u0%20YRlSEF2r+u4juXP5W6Xr2jfbHoiVG2onZrOys7G2jtbKCO2tohSKCFjY2NHY1rQAFXGwvIAgCAIA%20gCAIAgCAIAgCAIAgCAIAgCAIAgMPd9n2zd7CWw3K3Zc2kw0yRPFQQfqXsZNOqdAcY5t6Bx7OJeSe%20ntxcbXuVo0yfyuAufHNTEtDXE+Iq+xN4c2reSlO23xfGKNUoU1jxIv0s3H1Y2l79u3iC5ht764YL%20ee+Zoc1761ArXCpWW7ww5XO6w+WqXgeWpy4NVPQsQeImCQ1eAA4jqaYrn2bipeAIAgCAICzdWdpd%20RmO5hZMw/dkaHD9qHjRx31A+WLh++sku9hrs+54v/Lq6KV/QPDidI/hXQbd7jyMeSq+6HRmqdiMj%20VOA/KJZwTC85ndi7e1x/9vtyfJc2uGqTwv8AoWvO367eb7fKmextJHoHZON7FsdlFZbVZRWltAKR%20sY0VA/iPiPvKpJSbdWbaEkvAEAQBAEAQBAEAQBAEAQBAEAQBAEB8exj2lr2hzTmCKj9qA5l6h+g/%20DeTRzbhb2v6He2Nc+G5t6t1PAq0OaCG4nuVpg7tfx2kpeWvB6/Hia5W09TkGw8F9WNo3i23vb9rd%20tt9ZHyLqfU97ZoW+FzyH1FNNSr7O3LDv2nB9zb4aJUfT4GtWpVqtD0PwSferuwmvNzun3Aklc23a%205jWDyxSjhpzquXyu3upFdpuRsyimQQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQAgEUOS%20A5ruPoNwSfdNw3n9JLNe3hdN5BmcIvOrqBa3JviVlb3fJjHs7vJ0oa3aibRwXbrrb9jZBeWLLG9r%20W5ZE4Pa9/wCOoA6KFempSqnVGyrNiWoBAEAQBAaly70w4nyaI/rLRsVyAfLuIR5bg49XaaavepWN%20mXbLrBmq9YhcVJqv5nA+eehfK+P+bc7YP5ttgGoyNAbKzu8sai5dbge4ITSjd0fUpL+0drTh9uhy%20maWS2ldFIwxThprFK3Q8YfgOIXU22rsG4vT7yLLGfB6GtMkkuJ/KhjkuJ3GvlwtLzU9zVQzlG2qy%20dKFjCxJ8EdS4H8tnOOVeXd7p/wCx7XIKF0g1SuGf9kS0hUmTvsY+W2q+JOtYyXE9JcB9D+B8Nia6%20zsm3V9QeZd3IEri4dWh9dPuXP38md11kyUlQ6AAAKDADILQehAEAQBAEAQBAEAQBAEAQBAEAQBAE%20Bzv1a9IrXnrLGRt0ywu7Mva+cwtlMkLxQxknEUOIVpte6TxJNxSkpcUzCcFIlfS2O/t+MNsr3cpN%20zksZHWkU0sYicIrcCJlRQVqG6qntUPJlGU24x7U+RlHgbeo56EAQELy3h+w8r2l22bzb+dASHxPa%20S2SN4yfG8YtPsW6xkTsy7oOjMJ24zVJKqPIvqj6W79wi+LrwfqdnmeWWW6N+FwzDZgPgk/Yei+ib%20PvUMldr0udOvwKPIwXa1jrE53uM7R5QByBUncI+ZGqxDiYAfJLK2GFrpZnmjImAue4noGipUCcow%20VZOiJkLTfA6twj5Z/UTkjYbrcms2DbZCCX3I1XJZnVsIyqMtRVJk77COltV8eRMhi9T0PwT5fPTj%20iMkV3FZfzLdYgP8A3C+/NeHD7zGHwRn+EKgyM27e+uVfDkSowS4HSgABQCgGQCimQQBAEAQBAEAQ%20BAEAQBAEAQBAEAQBAEAQBAEAQBAEBH7psW27m+F95G57oDqio5zaHtwIWcZuPALjUz2NDWhoyaKC%20vcsAfUAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEBbubeO5t5LeWpimaWPAJBLXCh%20xC9Taaa5Ajtg41tmxW36awD2wgUa173Po0ZAaiVsvXpXJOUuLPFoqEqtR6EAQBAEAQBAEAQBAEAQ%20BAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQGlc19IOD8uaXbjZCG6Od5bUimNe14FSpmNn3%20rDrCTX5GMoJ8UXeH+k3BeKWrIds2yJ0rMTdzNbJOT3vIqtF6/O425OtT2KpwNwWo9CAIAgCAIAgC%20AIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAxd02rbd2sJrDcraO7sp26ZYJmhzHD2FZRk4uqdGDgF98o%20O3XXJpZ2b5Jb8bNXw2bGarlhJ/s/McdOkdHUqr257ivygo0Xcv4iOsaCdTrfCvSngnDbdkeybXGy%204bQuvpgJblzh94yOFQf4aKlu3p3HWbqzeklwNuWo9CAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAg%20CAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgC%20AIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCA%20IAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAI%20AgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIA%20gCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAg%20CAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAh+U3%20G+WW2v3PZ2C6nsWuml2twAF1G0VdGx9NTJaD8s/DXBwxq0DI49v+18h2Ox3vapfP2/cYWXFtJShL%20HitHDo4ZOHQoCQQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAav6nbnyDaeBb7u%20+w3MFtuG12VxfNfcQmdpbbROlcxrQ9gDnacHHUO5AZHp7ul/u/AeNbruEvn3+4bVY3V5NpazXNNb%20MkkdpYGtbqc4mjQAgMbmnJbvijIt+uXCbjbZI4d3YWgPtI5XCNt3G5oq5jHuHmtd93xAjTpcBtII%20cA5pqDiCMiEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAQ/KbjfLLbX7%20ns7BdT2LXTS7W4AC6jaKujY+mpktB+Wfhrg4Y1aBkce3/a+Q7HY73tUvn7fuMLLi2kpQljxWjh0c%20MnDoUBIIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgOZO5Zy5nr83%20h01/Edgn4/JukMENu1kjZDcmBuuR5lc5zQwnDS01+FAbLsfKLhvKbziG8lp3W3gbf7ddNGlt5Yud%205Zk05Nlhk8ErRhi1woHaWgbQgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgOGcp2HYN33Pnmm1PM92Af%20S8nayG22Hy7bw28F3IZXNma4eaf00ZcDTXQ4kDffRTcb7cfSfi15fzvubuWwi824lJc95bVoLnHF%20xoMziUBqvyxTyf8AB/Idt1tdabRyXcrKxDK6WwDy5gAT01zOKA7AgCAIAgCAIAgCAIAgCAIAgCAI%20AgCAIAgCAIAgCAIAgCAIAgCA1X1Y/wClnMv9x7l/+jkQHHd29Ltjk9BNp5taXN3acw2fjlnudhvT%20buZskX6eyZJ5EbdYjZGWN0Na1o7cXE1A6PyC9m5H8vV9uW5BjLndOKvvbknwsZNLt/nF2GQa81QE%20h6Kbhdbh6TcUurt/mTu22Bj5Dm4Rt8sE9po0VKA3VAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQB%20AEAQBAEAQBAEAQBAcf4dY7J6lbrz2TlVtHuTtq3y62PbrOf8yO0trRjWMmgjd4Y5ZZHPcZANVRSt%20AEBvnp5xu74xxS04/eb1Jv8Ac7cXxv3CcaZS1zjJHG8a5D4I3tAq7KnRAaH8sU8n/B/Idt1tdabR%20yXcrKxDK6WwDy5gAT01zOKA7AgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAg%20CAIAgOT8xv2ci9a9l9Ptx1Hj8G0S75e2VS2O9m84wQwzDDzIow0vLPhcfiBogITauMbJx75p4bXZ%20rVtlZ3HE33H6OIaYI3uvXMIhjHhjYfL1aWgDUSeqAk/VaaWx9afSe9tpBHNcT7nZTtqayQyQxAim%20RDdRPtIQHYEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEBzSx9Hty2/d+Tmw5TcW3HOU3M9/fbOy3iMr%20bq6FJ3R3bnOc1j+rWsDqAUcDigJDi2yy+mXp5Ft13uUu/SbdF5G3RNhZA6Z+PkW0ELC8l73GlXOJ%206khowAyfSPhFxw3g9ntV69su7Tvlvt3mZi115dPMkoaeoZUMB6htUBuSAIAgCAIAgCAIAgCAIAgC%20AIAgCAIAgCAIAgCAIAgCAIAgCAIDA5Bstrvuwblsl257LTdLWeyuHRkB4juI3RPLSQQHaXYYIDSL%20P0q3p3GLTh288kF/xGzjhthaQ2Ytbye0t2hsdrcXTZntdHRrWv8ALhY5wwLsSgM/1UhnuuGXHD9l%20Y0bpyGE7XZQNFGQ20oEdxO8N+GKCBzj3nSwYuCA2fj2yWew7Dt2yWQpabZbRWkFcyyFgYCe86alA%20SCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCA5fvPoxubeaXvK+F8sueJ3e8%20aDvltHbQ3kFy5goJGxzEMjkxPiIdiSRSpqBtpFlwvibg10+4Twh5Z5h8y7vr2YlwbgBqlmkNAAAB%203NGAGB6R8IuOG8Hs9qvXtl3ad8t9u8zMWuvLp5klDT1DKhgPUNqgNyQBAEAQBAEAQBAEAQBAEAQB%20AEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQGh+ofpWzlG8bTyTad2l47y3ZNTbHeIYm3AML66oZoX%20lgkZ4nYaupzqgMbbfSjd4/UW051ufKZ73coNubts0EdpbwRSMEz5XNAPmlkbi4eEeMGv5mNAAm2P%20/ir1c23kNNWy8LtrmCzmNdM253tI5xH0c23hYA534zTNhoB0VAEAQBAEAQBAEAQBAEAQBAEAQBAE%20AQBAEBQ6CB8rJnRtdLEHCOQgFzQ6mrScxWmKArQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBA%20EAQBAEAQBAEAQBAUNggbM+ZsbRNIA2SUNAc4N+EF2ZpXBAVoAgCAIAgCAIAgCAIAgCAIAgCAIAgC%20AIAgCAIAgCAIAgCAIAgCAIAgCAodBA+Vkzo2uliDhHIQC5odTVpOYrTFAVoAgCAIAgCAIAgCAIAg%20CAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCA+Oa1zS1wDmuFHNOIIKA+RRRQxNiiY2OJgD%20WRsAa1oGQAGAQFSAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCA%20IAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAI%20AgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAID%20/9k=" height="296" width="1005" overflow="visible"> </image>
          </svg>
        </div>
      </div>
      <div class="fig"><span class="labelfig">FIGURA 3.&nbsp; </span><span class="textfig">Pasos del proceso del corte del suelo por la herramienta de labranza: a) A 0,15 m de desplazamiento; b) 0,6 m; c) 1 m; d) 2 m.</span></div>
      <p>En la <span class="tooltip"><a href="#f10">Fig. 4</a></span> se presenta un gráfico del comportamiento de la fuerza de tiro a lo 
        largo del recorrido de la herramienta a través del bloque de suelo.</p>
      <p>Puede
        apreciarse que la fuerza de tiro alcanza un valor máximo de 14,1 kN a 
        0,25 m del comienzo del contacto de la herramienta con el bloque de 
        suelo, disminuyendo en forma asintótica a medida que se desplaza la 
        herramienta a través del bloque de suelo (<span class="tooltip"><a href="#f10">Fig.4</a></span>)
        hasta alcanzar un valor aproximadamente constante cercano a 10 kN. Casi
        al final del recorrido de la misma, cuando la herramienta va perdiendo 
        el contacto con el bloque, la fuerza de tiro disminuye bruscamente hasta
        alcanzar un mínimo valor. </p>
      <div id="f10" class="fig">
        <div class="zoom">
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WyU+GOLEK%206BoGglDNJJJOjwSQrDIEjkcoVmUor8keDMwUMxTzhWyU+GOLEK6BoGglDNJJJOjwSQrDIEjkcoVm%20Uor8keDMwUMxTzhWyU+GOLEK6BoGglWmkmjLyQSVmEkiCOUoWKo7Isg42kXGRVDr45YkZBW3UBXQ%20NA0Eq00k0ZeSCSswkkQRylCxVHZFkHG0i4yKodfHLEjIK26gK6BoGgaBoGgaDkvanu7sbo91v30d%20amnt7tZaUZqtJIvpUp17Ku7Oqs0h9Qd8UH4AHbchl+xvcfY9/wBZctdhVSlPX7C5TWspLFUrzGNM%20zuQX2Hmx8N/poNP3/uHoKHy97Zp3uzqVLc3TdrDDXnnjjkeS1d6xa6KjMGLTNBIIwP3sW2+h0Haw%2026s8k8UE0cstWQQ2kRgzRSFFlCSAHysY5EfY/lYH6HQYh7Sq0dPs4+xqfZbUaCKbcMs8lt4lptDY%20EgjxfMqq4tyM6YkbbMGW1uqtqOm00a25o3mirlgJHjiKLI6pvkVRpUDEfTIfiNAht1Z5J4oJo5Za%20sghtIjBmikKLKEkAPlYxyI+x/KwP0OgkvbdU1Cv2C3IDQt8PpbglQwy+qZUr8cm+LcrSKqbHzEjb%2066Dkfcfyv7a9v+9q3Q9pfgp1DVL27EoLBLU80SVY2kRiIRxmR5OVAACjZAb7/NvFtbXjQ046tSYm%20cR7I6se/ETP92Zl1o8o1fyNt5P8A063ivw5dXu6sV4Z455dLs4bdWeSeKCaOWWrIIbSIwZopCiyh%20JAD5WMciPsfysD9Dr65KS9t1TUK/YLcgNC3w+luCVDDL6plSvxyb4tytIqpsfMSNvroKtbqrajpt%20NGtuaN5oq5YCR44iiyOqb5FUaVAxH0yH4jQSr2ea/cWO1BNDW44JK0Y3mgsY8riZw7DzxSwsqYKQ%20PNuwcYgXtuqahX7BbkBoW+H0twSoYZfVMqV+OTfFuVpFVNj5iRt9dBVrdVbUdNpo1tzRvNFXLASP%20HEUWR1TfIqjSoGI+mQ/EaBDbqzyTxQTRyy1ZBDaRGDNFIUWUJIAfKxjkR9j+VgfodBiR9pVMcfZn%20sajdLcjqjr5lICvJZcqjLY5DHIs/LEsSqo837WzAUMtrdVbUdNpo1tzRvNFXLASPHEUWR1TfIqjS%20oGI+mQ/EaBDbqzyTxQTRyy1ZBDaRGDNFIUWUJIAfKxjkR9j+VgfodBJe26pqFfsFuQGhb4fS3BKh%20hl9UypX45N8W5WkVU2PmJG310D1OHa+mltQDng5KlHbGweF8bEu5c5xjmhXwjGB+rHNQoVht1Z5J%204oJo5ZasghtIjBmikKLKEkAPlYxyI+x/KwP0OgkvbdU1Cv2C3IDQt8PpbglQwy+qZUr8cm+LcrSK%20qbHzEjb66CrW6q2o6bTRrbmjeaKuWAkeOIosjqm+RVGlQMR9Mh+I0Eq9nmv3FjtQTQ1uOCStGN5o%20LGPK4mcOw88UsLKmCkDzbsHGIF7bqmoV+wW5AaFvh9LcEqGGX1TKlfjk3xblaRVTY+YkbfXQVa3V%20W1HTaaNbc0bzRVywEjxxFFkdU3yKo0qBiPpkPxGgQ26s8k8UE0cstWQQ2kRgzRSFFlCSAHysY5Ef%20Y/lYH6HQYlftKvpfuMvY1JeruyQHq7MZCxtHZEccC8xkdJmmmf8ATZMcslUAnzMGW1uqtqOm00a2%205o3mirlgJHjiKLI6pvkVRpUDEfTIfiNAht1Z5J4oJo5ZasghtIjBmikKLKEkAPlYxyI+x/KwP0Og%20kvbdU1Cv2C3IDQt8PpbglQwy+qZUr8cm+LcrSKqbHzEjb66BHZ4771LNqBprGc9Cqo45vTxLEkpY%20M7mXGWTxdVUAOikb+ZgrDbqzyTxQTRyy1ZBDaRGDNFIUWUJIAfKxjkR9j+VgfodBJe26pqFfsFuQ%20Ghb4fS3BKhhl9UypX45N8W5WkVU2PmJG310FWt1VtR02mjW3NG80VcsBI8cRRZHVN8iqNKgYj6ZD%208RoJUrPNZvx+qgsennWPhhGz194IpOKfzvvIc+QeVPI6+X8zAXtuqahX7BbkBoW+H0twSoYZfVMq%20V+OTfFuVpFVNj5iRt9dBVrdVbUdNpo1tzRvNFXLASPHEUWR1TfIqjSoGI+mQ/EaBDbqzyTxQTRyy%201ZBDaRGDNFIUWUJIAfKxjkR9j+VgfodBiVO0q/bIb9jsak1S3Ipp3oSI68kduYLTVGMkiuzrJGgZ%20W/UY7qBkFAZbW6q2o6bTRrbmjeaKuWAkeOIosjqm+RVGlQMR9Mh+I0CG3VnknigmjllqyCG0iMGa%20KQosoSQA+VjHIj7H8rA/Q6CS9t1TUK/YLcgNC3w+luCVDDL6plSvxyb4tytIqpsfMSNvroEFnimS%20lctQPfm554IYxxM1eOUAERs8jNxLNEkjjwLHfZcgoCsNurPJPFBNHLLVkENpEYM0UhRZQkgB8rGO%20RH2P5WB+h0Cpbq3KsNynNHZqWY1mr2IWDxyRuAyOjqSrKyncEfXQV0DQNA0DQcZ1nx5KD7mh7vsF%20vUfcHZR9rHFRSz1k9eWJIY0HqYbTyNsKkLArh5g37GCqGf7I9k1PadbsIK9uzbF+7PcLWrFmwUEz%20l1QGxLOd1DbM+4Lnxbx0Eey/7p+3v+R93/vnU6DqtBiyNQ+611exjfME5r1eZlzhDw80npwwWTjY%20xjMqSmWwIzOQZWgaBoP5ypdD7f8AkL5++QutvS+p6b7cKnllEViG3B6SB5K8b7SbxSwyKzqhT9jb%20rIA213GlpbHy/a6309P81N+uJmlZm1Y6pjNsd1qY49UcMYmvD1p+YbjFtKNTUjSxMdMWtFePPhnH%20HjnvZ1H3F72+E+263o/eFx+/+ObKJU63vEhxloyKCeN1UyPivj+mzt+mAYj5Gj1Y1dptvOdO2rt6%20/S3kZtameF4745R8cR4p8fzRZTi1tOcTxq9x6PvOp73qavb9RaS51txOStZj3xZd9iCDsVZSCrKw%20BUgggEaxO522poak6epHTevOP7fdPKY4wsxMTGYZ2oH1ixtQ+62FSxlfEEBsVeZmwhLzcMnpyxWP%20kYSDMKC+OxJwGIZWgaBoMWNqH3WwqWMr4ggNirzM2EJebhk9OWKx8jCQZhQXx2JOAxDK0DQNBixt%20Q+62FSxlfEEBsVeZmwhLzcMnpyxWPkYSDMKC+OxJwGIZWgaBoMWNqH3WwqWMr4ggNirzM2EJebhk%209OWKx8jCQZhQXx2JOAxDK0DQNBi0moGzfFaxzTLOovR8zS8M3BERHgzMId4uN8FCg5Z7buSQytA0%20DQYtJqBs3xWsc0yzqL0fM0vDNwRER4MzCHeLjfBQoOWe27kkMrQNA0GLSagbN8VrHNMs6i9HzNLw%20zcEREeDMwh3i43wUKDlntu5JDK0DQNBi9Y1BqzmjY9TDz2A8nM1jaYTuJ482ZyOOXJMN9o9sAFC7%20AMrQNA0GL1jUGrOaNj1MPPYDyczWNphO4njzZnI45ckw32j2wAULsAytA0DQNA0Gv7P3F7f6qSOP%20tOzqUJJRvElqeOEsPpuodl30GfHJHJGskbB43AZHU7gg+III+oOg/dA0HFe4btmr8p+1eChPe5+q%207iGX07QLwI9zqsp5OeWHeNNvMI8n/BToO10EmmkFqOAQSNE8bu1oFONGQoFjYFhJk+ZK4oV8pyIO%20OQV0DQNB4T/bHNJ2tr3n7vEEkUXuXtpnaEFGjqtAfULG0hZJJGk+4kLjFiOMliCyjW39Z/hfl9tz%20+lpfN35xXl2fJnnPP2K2345t3y9ytVa1utNVtQpYq2EaKeCVQ8ckbjFkdW3DKwOxB1iqXtS0WrOL%20RxiY5xKzMPBO89ne9vhmS17l9h2H7T2S1n1fde1Jhk0EATFpI5jyPivjvIoDKFQyCVVYjd7bzDbe%20cRGhu46Nz09NNWO2c8pjhHwnhMzbp6JmFWaW0+NeXc9a9ifI3tL3z1r3vb1zn4MBcqyKY567yJkE%20lQ/+IyUlCQ2LHY6ynmflO42V+jWrjOcTzi2O6f8AhOJjMZiMp6akWjg6BZpDakgMEixJGjraJTjd%20nLho1AYyZJgC2SBfMMSTljzXtXQNA0ElmkNqSAwSLEkaOtolON2cuGjUBjJkmALZIF8wxJOWIV0D%20QNBJZpDakgMEixJGjraJTjdnLho1AYyZJgC2SBfMMSTliFdA0DQSWaQ2pIDBIsSRo62iU43Zy4aN%20QGMmSYAtkgXzDEk5YhXQNA0EoZpJJJ0eCSFYZAkcjlCsylFfkjwZmChmKecK2SnwxxYhXQNA0EoZ%20pJJJ0eCSFYZAkcjlCsylFfkjwZmChmKecK2SnwxxYhXQNA0EoZpJJJ0eCSFYZAkcjlCsylFfkjwZ%20mChmKecK2SnwxxYhXQNA0Eq00k0ZeSCSswkkQRylCxVHZFkHG0i4yKodfHLEjIK26gK6BoGglWmk%20mjLyQSVmEkiCOUoWKo7Isg42kXGRVDr45YkZBW3UBXQNA0DQNB4/R7Hsvb1Hrepte2ev7/5D7OCO%20Xtqsdrksu8gHPZuTtWkSCANuBu5Xwwjy2A0HpXt/oKvUxytWgWiLeEs/W13yqQzbbSGuCkWIc/vb%20KoYjLEMW3CPX+7+sve4e76KKG0lvoYq01ySSB0jdbfKU9Pv55dvTtuVXbfwBJ32D46D3hD23aW+q%20m6271PY1IorPp76wgy15mdEmjaCWdNi0bAqxDr+ZRoMTsv8Aun7e/wCR93/vnU6DqtBJlteqjZZI%20xUEbiWIoTI0hKcbLJmFVVUOGUoctx4riQwV0DQcr8q95H0fxv7k7JrT0pI+vnjq2osxIlmdDDXKN%20H5lbmkQBvy/XcfXXU8k206+90qY6s3jMTjHTHG3P9WJ4drxqTisy53+3vob3UfFvt0SQwVRbgsXb%20kSxqZp3tT8lSczRvj/8AxdgVZS22I3XAqb3qvcxq+YakxPVWuKxz4dMRFojP63V7M8e140IxSHpm%20s6mNB5D7/wDh3uou/s++/jTsfsfuxoZfV0VSM177uQW35N4kkcAk5qyNIFY4Nk+td5X6g0p0o2u9%20r9TQzGLceqn2cZiPZMTFcx4oxVBfSnPVXhL99hf3BdH2pSr7vkj9s9sqitNUtxPBCLkDTepPqZJG%20WNSEUCKZUZG3XKXcbcze+T43Wpo7afrxp1rbh83Tflw53xExm1ImuLVmcZxF+2z1abam4vGNPUm0%20RPtr392eOInjPTbhjjPp/T970fdVmtdN2Nbs6qOYnnpzRzxiQAMULRlgGAYHb/HXL3G21dG3TqVt%20S3PFomJx8VaLRPJnagfTQSVbXqpGaSM1DGgiiCESLIC/IzSZlWVlKBVCDHY+LZAKFdA0DQSVbXqp%20GaSM1DGgiiCESLIC/IzSZlWVlKBVCDHY+LZAKFdA0DQSVbXqpGaSM1DGgiiCESLIC/IzSZlWVlKB%20VCDHY+LZAKFdA0DQShW0JJzPJG8TSA1VRCjJHgoKyMXfNuQO2QC+UhdtxkwV0DQNBKFbQknM8kbx%20NIDVVEKMkeCgrIxd825A7ZAL5SF23GTBXQNA0EoVtCSczyRvE0gNVUQoyR4KCsjF3zbkDtkAvlIX%20bcZMFdA0DQSrLaWMi1JHLLySFWiQxqIy7GJSrPJuyx4qzb+ZgWAUHEBXQNA0Eqy2ljItSRyy8khV%20okMaiMuxiUqzybsseKs2/mYFgFBxAV0DQNA0DQeV9F7a6X2gbnXdh33Y1exNOt2Xc967xInYWpmk%20hlZHkSSR5EeEfp5HESIq/XQdv7Biki9i+3IpGnaSPq6Su1pWWwWWugJmVvMJP/UD476DT9XW72t8%20l+6ezl6ayOrt9b18NG6JKhSeag1l5I0Tn5VL+sUIZEVfK25HlyC3s+x7gu9zd7DuvbdnqLViMR+p%20szUnVYIXJr1ohUsWi3+skkkdwnmOw3G2IR9wx9q/yn7V+32IK+PVdw1z1EDz8lcXOq5I48JoOORv%20DGRswv8A6G0HYQraEk5nkjeJpAaqohRkjwUFZGLvm3IHbIBfKQu24yYNe6TCbr4pewgHfiAllAlS%20GeFJa/rZI6XqP/wqjszmEuPFgzK4bBlteqjZZIxUEbiWIoTI0hKcbLJmFVVUOGUoctx4riQwIVtC%20SczyRvE0gNVUQoyR4KCsjF3zbkDtkAvlIXbcZMHkP9znb2us+HGpXFjtW+2s06NizCDBGskZNt5U%20iYzMFZquIQyHbL947eOu9E7f6m/i2cfTra3v/wAv/wBs/BBuZxR6D7e6WPo4fbnSnso5Zer6hqS1%20yXjksrXFWJrKwibjxjwAbKN2XkAV1BYSZre7j6+tfVxjrta2O7M5TVjERDewraEk5nkjeJpAaqoh%20RkjwUFZGLvm3IHbIBfKQu24yas+pLH2voK6NYgN9eH1VgQOIXxZTY44eYtHyKGCbyNgSCc9tmCrL%20a9VGyyRioI3EsRQmRpCU42WTMKqqocMpQ5bjxXEhg4HsPhr4v7rue1+7dfXu3rEy35II7FqKaNLO%20+zyqtk/6yeOYq6qi7eQDykmTy/Wvs9b62hM01OPHvzzzE8Jjt4xzxPOIdPc+cbnX28bfUtFtKuMR%20014dPLE46uXDOc4zE85cr239p3x/eiqvXns9VbjSBLYpMzVZWRw1h0ittamjaRMlT9dgnlJD7HLW%20bf1xv6Vxbo1PbavH3eGax92XEnbVlP8A6G/KPQ/r+0Pkm7/sf6fU9V2QkeqkH+rWKTd7EJ44T5dq%2022QGyr9RP/Uux1+G42tfF81qY6pnnmOFZ4z+vy5zPb8+jaOVj1f92XQ/7H6LpvdnJ+t9x3jiw38v%20BjydZ+7jlvxH9794/QPp+Qa/i6tXQ7OnjOfby1Pd83Zy72dWO6WDU/uLt9d3Lw+7eqPTWUNbr+0m%20gklvwwT1bTLaf0yypGiSRu4DxF3UhcucBVXNbfZ6W73urttrqRfpjOn1eHrxGbV448ccojpxaItb%20NYhpt75Fqbfy/S3ds+OfFH6MW+SeGeE9szPCbVrjOXr3tb3t7d93It/213FXsOujjcW66KwspIzh%20YWdXZHhXaKXyvF5/BlIC+aPfeW7jaW6dak0n7p90xwnnxxPBwK3i3JvIVtCSczyRvE0gNVUQoyR4%20KCsjF3zbkDtkAvlIXbcZNReklj7X0FdGsQG+vD6qwIHEL4spsccPMWj5FDBN5GwJBOe2zBFRGe/k%20MNyMyrUT1vXl3eRVaR/SzKnLxwq2M6s3FlLsPPtFtoMuFbQknM8kbxNIDVVEKMkeCgrIxd825A7Z%20AL5SF23GTBJY+19BXRrEBvrw+qsCBxC+LKbHHDzFo+RQwTeRsCQTntswVZbXqo2WSMVBG4liKEyN%20ISnGyyZhVVVDhlKHLceK4kMGJUEY7nsA9yOW2Y67LTR3DQ1SHETSQtLImUkyz/qrGmagIcuLfQWW%20PtfQV0axAb68PqrAgcQviymxxw8xaPkUME3kbAkE57bMFWW16qNlkjFQRuJYihMjSEpxssmYVVVQ%204ZShy3HiuJDAhW0JJzPJG8TSA1VRCjJHgoKyMXfNuQO2QC+Uhdtxkwa+ikxhnjg7CCfto5647iQC%20WWFJligM0cdZrDmryV9mRM9lLiQh92zDYMtr1UbLJGKgjcSxFCZGkJTjZZMwqqqhwylDluPFcSGB%20CtoSTmeSN4mkBqqiFGSPBQVkYu+bcgdsgF8pC7bjJgksfa+gro1iA314fVWBA4hfFlNjjh5i0fIo%20YJvI2BIJz22YI1RG3Z22p3I5YkkZezql3mkjtGGAxKpMpSuog8zRCPzZiTwJbMMuFbQknM8kbxNI%20DVVEKMkeCgrIxd825A7ZAL5SF23GTBJY+19BXRrEBvrw+qsCBxC+LKbHHDzFo+RQwTeRsCQTntsw%20VZbXqo2WSMVBG4liKEyNISnGyyZhVVVDhlKHLceK4kMGJ1gj9b22FyOy3q15IUd2as3pYP0ZA8sq%20oxXaXFFjXFwcCxZ3Cyx9r6CujWIDfXh9VYEDiF8WU2OOHmLR8ihgm8jYEgnPbZgqy2vVRsskYqCN%20xLEUJkaQlONlkzCqqqHDKUOW48VxIYEK2hJOZ5I3iaQGqqIUZI8FBWRi75tyB2yAXykLtuMmDX9W%20kx6iJKfYQWrKzsLtwCWeFpksn10caPYkeLziWNEMrCA7LswTDQbBlteqjZZIxUEbiWIoTI0hKcbL%20JmFVVUOGUoctx4riQwIVtCSczyRvE0gNVUQoyR4KCsjF3zbkDtkAvlIXbcZMElj7X0FdGsQG+vD6%20qwIHEL4spsccPMWj5FDBN5GwJBOe2zBHrhGzB+vuR2OuEltbALvZkNr1HnVZ2lbBYZBLG0WJx8FX%20AJiQy4VtCSczyRvE0gNVUQoyR4KCsjF3zbkDtkAvlIXbcZMCotpasK3JI5raxqLEsKGKN5ABmyRs%208rIpbxCl22/E/XQV0DQNB4tN8edPQEdTv/bnuTvLcM7TV+16/trsldmZmKPHG3YQvXZFfHZk8o/O%20/i2g9F9g9f2fXe3qfW2KrUeu66rWo9VUsPHLeENaIRB7ckDGDkcKPLF4D/1HfZQ6TQNByvZf90/b%203/I+7/3zqdB1Wgk00gtRwCCRonjd2tApxoyFAsbAsJMnzJXFCvlORBxyCugaDw75y/498o/G3tCD%20/bP9tPZdr1Mn+oeqkiHklWTaGTaGvZGPi22Q28w32/pr8DY7rcT4fD0Vt2xbE8Ixxjjans5T2cK2%20txtWHtjTSC1HAIJGieN3a0CnGjIUCxsCwkyfMlcUK+U5EHHLELKugaBoJLNIbUkBgkWJI0dbRKcb%20s5cNGoDGTJMAWyQL5hiScsQroGgaDB7ClR7VLHVdp1qXOteOJ3FpIZq0zF2PHxsXYtEYlc5IF8y4%20kkNjLo619K0Xpaa2jticT9sPkxE83lXuf+2n25Z7ZO79m9pZ9m9urszS0cnhAkEnIYo1kheFm5Md%20o5AgUYhPHfWr2XrHWrp/S3NK7jT/AFufDGMziYtyzxjqzx6kFtvGcxwc/F8g/NnxZx1/f/V/5m9s%20RYJ/mGk2ckSfox7vNiuWORUCyiPLIf8AWEa6FvKvLPM8ztL/AEdaf9O3Kfmnl/BNorX/ACvPXenz%20cYel+wfmf2B74xh6m/wdm2//AAm6BBa8Mz5FyZJfJEXPEzYr+9trNeaent3suOpXNP0q8a9nxjjO%20PFEZnllNTVrbk7NZpDakgMEixJGjraJTjdnLho1AYyZJgC2SBfMMSTljxEiugaBoJLNIbUkBgkWJ%20I0dbRKcbs5cNGoDGTJMAWyQL5hiScsQroGgaCUM0kkk6PBJCsMgSORyhWZSivyR4MzBQzFPOFbJT%204Y4sQroGgaCUM0kkk6PBJCsMgSORyhWZSivyR4MzBQzFPOFbJT4Y4sQroGgaCUM0kkk6PBJCsMgS%20ORyhWZSivyR4MzBQzFPOFbJT4Y4sQroGgaCVaaSaMvJBJWYSSII5ShYqjsiyDjaRcZFUOvjliRkF%20bdQFdA0DQSrTSTRl5IJKzCSRBHKULFUdkWQcbSLjIqh18csSMgrbqAroGgaBoGg849+e7+66v3ZH%201UN25UqS9ctquOt6ax20zSrM8c7SGNXVERTFiNvqxy28u4dR8fX5+x9g+2uwsWJLc9zqqU81qZQk%20kry1kdpHVSwDMTuQCdBv9A0HFe4esrX/AJT9q87zp6Xqu4sxensT1t3judViJOB4+WPx80cm6N+1%20ToO10EmW16qNlkjFQRuJYihMjSEpxssmYVVVQ4ZShy3HiuJDBXQNB4dU/wCPf3ZXfWfp/wCU+mH2%207h8M+WOPLnyyy/8A9OXbHH6L+B32+p+B5BXp/wBfV8WezEzy/wDzrzz2/CtHHV90PbGW16qNlkjF%20QRuJYihMjSEpxssmYVVVQ4ZShy3HiuJDYhZV0DQNBJVteqkZpIzUMaCKIIRIsgL8jNJmVZWUoFUI%20Mdj4tkAoV0DQNBJVteqkZpIzUMaCKIIRIsgL8jNJmVZWUoFUIMdj4tkAoV0DQec++fgD4394WTdt%20Un6zsnfknvdYyQSTEl2blRkkidneTJnKZnYebbw1ovLfVO92lemtuunZW/GI5cuMTGIjhGen2Ib6%20FbPOel9q/wByPsiQ1PbxbvetpyNBBB2Niu1aetEGjgMcUtnlrhVKsEjkT6bNvttqLS8x2+98w1b7%20vT+joakeGac6WjjmemI6vqeLqm1LWzNYzERlod5o7Kvl2lGjqdW6rObx02jq6ucZmJjwcIjxRXEW%20nnZu/wDrB849J/snuP4ym7G8/wCrHP07ytAIj5QrGFOxXkyVif1AdiPL+09r/YPK9bxaO7ileWL4%20zn4zp8Ph38e7N/VvHOrK63+6r2A92Pr+8odn0N5Mo+x9TAJIq08ankibjZrB2kUoP0Qd/qq+O0Wt%206I3cVm+lbT1a/wCXE8bRPKeMdPLj83umX2NzXt4O06f5n+Ku2rNZq+6OvjjRzGVuSilJkADuI7XC%205XzfvBdv2b+B1xtx6e3+lbpto3n/AJY6o+2uY+HNJGrWe101G/DcsNJVvVrVKWtXsVo4NnfGYyET%20mVZGV4plUceyD91jk2+y8i9Zraa2jFq84nnHvhN0T0xbHhnt7OGM/wB8fbDN15eWo7j3j7R6WytX%20ue86/rLToJUguWoYJDGSVDhZGUlSVI3/AMNW9v5fuNavVp6d715ZrWZjPwh5m8Rzlg/9TvjX+rOm%20/iFX/wBzU/8As29/k6v7Fv8AB8+pXvhCv8n+wOe2tj3b02Cyr6ZTZhhIjMMbfvySlZ93LHkjAXxw%202yRiYNDy/cavV9PTvbotNbYracWjnWeHOO2OxY19G2lFZvHT116q57azMxE+6ccO+OPLC/8A1O+N%20f6s6b+IVf/c1P/s29/k6v7Fv8Ff6le+Gi7L+4D4e667JTse5IXmixyatFYtRHJQwxmrxyxN4HxxY%207HwPjq9o+lvMdSsWjSnE981rP2WmJ+55nXpHaxv/ALkfhf8AqL/+ne/9jUn9IeZfyv3qfxPn5ine%20nH/cT8VxS2Dd77Cu8it17ChdXKAwxkksElzPKX8SsZH0w8M35+y8l3W6tqU0q9VtG80vHVTMWj2T%20blziJ5TicTOHQ3u01NtTTvqRiutTrr7vfyzjE47ItGcTwdV/1O+Nf6s6b+IVf/c15/2be/ydX9i3%20+Cl9SvfDedb2nW9pSjvdZbhvUZsuG1WkSaJ8WKti6FlOzKQdj9dUtbRvpWml6zW0dkxifsl6iYnk%20ydRPqUK2hJOZ5I3iaQGqqIUZI8FBWRi75tyB2yAXykLtuMmCug0fZe+/ZHV3ZKPZ+4eso3ocearZ%20uV4ZUyUMuSO6sN1YEbj6avaPlm61axemlqWrPbFbTH2xDzN6xzlo+6+cPibp+H1fuelLz5YeiZr2%202G2+fpFnw/e8Mtt/2fQ6u7f03v8AWz06Nox+l4P/AJYz8Hmdakdre+zvc9D3J0x7OlajtwmzZiV4%204zCVWOZhErxs8rK3Fgd2ILb5YpliM/pa1dSua8nS8w8u1dpq/T1YxbET9sd/bjlOOGYni3epVE0D%20QSrLaWMi1JHLLySFWiQxqIy7GJSrPJuyx4qzb+ZgWAUHEBXQNA0DQNB5T7u7O3X7KrY9wXLVqp9t%20ifr4Pb180EkvGWUvPKPUQO0csYh4hIzxLs4YnwJDv/Z123e9o9Heu2Irdy119Wezar/6mWWSFWeS%20L6eRmJK/4aDRWJuxi+Zevg+4WW66z7evynrCyiss0FykqyqiqpMhWZhk5bYfu7bncNF7E7Tt5L3t%20btJ7lmeb3ZTvWe3qTTSywxPC0ckPBCx46/AJDCRGq5b+fJwDoN57h7bquu+U/av3C5BT9Z1XcVKf%20qJUi5rEtzquOGPMjOR9jii+J0HYQ26s8k8UE0cstWQQ2kRgzRSFFlCSAHysY5EfY/lYH6HQa9+49%20tmbr757SAesgJ60i2BDYhsy10WSOMPxTZSywIj7EgyBVI5NmDYNbqrajptNGtuaN5oq5YCR44iiy%20Oqb5FUaVAxH0yH4jQIbdWeSeKCaOWWrIIbSIwZopCiyhJAD5WMciPsfysD9DoPDvgW3V7H3d8h++%20bM0cvW9n20dDpe5tMFdkadxHWQzESorLNUVEIG5wUDddht/Vf4O22u2+W1NPN6xyzMRGeHhmerr4%208e3v41tDjNpe2SNQ+611exjfME5r1eZlzhDw80npwwWTjYxjMqSmWwIzOWIWVYbdWeSeKCaOWWrI%20IbSIwZopCiyhJAD5WMciPsfysD9DoJL23VNQr9gtyA0LfD6W4JUMMvqmVK/HJvi3K0iqmx8xI2+u%20gq1uqtqOm00a25o3mirlgJHjiKLI6pvkVRpUDEfTIfiNBiVLvTT9z2EFW9HP2lSOvF2NJLJkaurB%205YDJWDlYWkWRjlgGdQNyQq7BZe26pqFfsFuQGhb4fS3BKhhl9UypX45N8W5WkVU2PmJG310FWt1V%20tR02mjW3NG80VcsBI8cRRZHVN8iqNKgYj6ZD8RoENurPJPFBNHLLVkENpEYM0UhRZQkgB8rGORH2%20P5WB+h0Gvh7j220xvxdpA/qoKRUi2GhaG1K6UpI48zEPUyuyI6jeUgLu2KgBsGt1VtR02mjW3NG8%200VcsBI8cRRZHVN8iqNKgYj6ZD8RoENurPJPFBNHLLVkENpEYM0UhRZQkgB8rGORH2P5WB+h0El7b%20qmoV+wW5AaFvh9LcEqGGX1TKlfjk3xblaRVTY+YkbfXQRW70y9/JSF6P71LUSZutNkmQVY5HVZ1q%20l/KpkkKtKqDLwVicVADLht1Z5J4oJo5ZasghtIjBmikKLKEkAPlYxyI+x/KwP0OgwOwf2x23Ro3Y%20ml2HRdj6fiNgxTVLHPInpsc8o5OSRk4/rkxXHx21Lo619K0Xpaa2jticT9sPkxE83I918JfDHadp%20Cl32/ShvvA5gq1JJKOcMLrySCCrJCr4NOgZ8d/MoJ/d12dv6n8w0q9NdW0/82LT9tomfhyRzo0ns%20cD/9snsTs++u9fF7jAq9dMZLHSURGblOO0HkrxSSyy2XQFSCDJH5wP8Ax1W8v893u23mpuuuL31Y%20xaLRwnGOmcVmsZrEYiccpnvaDe+Z6GvsdPaxpdM6XK/VnjPzc65xaZziLc8dkYVX+1j4gahX7Be/%207I0LfD6W4LdIwy+qZUr8cnp8W5WkVU2PmJG311ov693v6Gl9lv42b/K19re9V/bT8MdcV667Xm7S%20/Y5LEHrbsiWDDHxpJhHVasrRxtIm7YEguNz4qNU9x608wvbNbV0/ZWsY9/i6p+/D1G3pDOh/t5+D%20J5J4oOjjllqyCG0iX7rNFIUWUJIBY8rGORH2P5WB+h1B/V/mX8392n8L7+Xp3NR1vwP8HzRLemun%20uevThrRcl+MV0luCFqwV6npznKs0XGpbzCRdgcl1xvK/Mdzsb3vo6lurV43m3TabTGeMzasznjPv%20zxd7zfzm2/pSmpp6dY0vl6ItGI4RjHVMY4R2cMcO1t2/t5+DFtR026ONbc0bzRVzfuiR44iiyOqe%20oyKo0qBiPpkPxGuz/V/mX8392n8Lg/l6dzedP8V/EdWs/XUfbnU2BQkMM4mgiuTxyOonwmlnEs2W%20EysA7fuldvLtqlref77UtNp1tTM91prH2VxH3PUaVY7FF9j/ABA1Cv2C+3/b5oW+H0twU6Rhl9Uy%20pX45MMW5WkVU2PmJG311F/vO9/nav7dv8X36de6GB13xd8MwdtJWg6nrrfZxrIklK1J610CiGST9%20Cw82JVZ4SWx3Adf2ON+fsdS+0mZ0LX0+rn02tGccs8ex1vMfONzvaxXXtF+nl4axMfGKxPvjly7o%20a6H+3n4Mnknig6OOWWrIIbSJfus0UhRZQkgFjysY5EfY/lYH6HWi/q/zL+b+7T+Fxvy9O5zvYf2x%20/DN1U7mr2Vyh1V70/oxVuwPUb1GEcHDLYjnd+d3XD9RsmbZfqBq9o+ud9SsRMad575rOf3bVj7nm%20dtVNv7ZOi6i1GntD3p23t7vrEbsZDNG8ktOMoJgsdf0UhVZHhybMqPDcbkHUv9a31eG50dLVp3Yx%20x7/F1xyz2dvN8/LRHKZhhdb8KfKly7Zjf5ImoGuwTsJaF25bna1xRFBZQvVAf05RsmbLHDwx21n/%20ACTzeNtfVncaGlrRq26ojER0T2xXNLT08oiM4r08OctN59udluNPSrto1KW0q9HiiPFXnmem2OrO%20Znw+KbTMzwhkL/ax8QNQr9gvf9kaFvh9LcFukYZfVMqV+OT0+LcrSKqbHzEjb660H9e739DS+y38%20bM/la+10PX/23fClFK/V2qD3+xaOWZJLV2dLM0cbqHfjgkgQrEZkQlYxtuu/idzR1vWXmN7TMXik%20d0Vrj96LT971G3o3XS/C3w1THY1ev6ClO+S17wlke3LBJxiRVV5nlkrycc6v5CrbFW/9J1zt95/v%20d1To1dW01mJiYjwxMTzienGfin2/4N66lOF6zExPPExxjm88/t693dDX95+/eii7WL7Ot9X9vRCX%20OsYPWSVFaKbcozSNNWjUlspN12y1e818k2222O319vXEalfHPVM+Ppjsm04nMXziOzE9izvPN9xv%20dTOvbqtXl4axOP8A2xGfZn4c5e/NbqrajptNGtuaN5oq5YCR44iiyOqb5FUaVAxH0yH4jWZViG3V%20nknigmjllqyCG0iMGaKQosoSQA+VjHIj7H8rA/Q6CS9t1TUK/YLcgNC3w+luCVDDL6plSvxyb4ty%20tIqpsfMSNvroI9dd6YMKlO9HPLLJblSM2TPIzQ2MLYXN3fGCeXjZR5YvBNlGy6DLht1Z5J4oJo5Z%20asghtIjBmikKLKEkAPlYxyI+x/KwP0OgVLdW5VhuU5o7NSzGs1exCweOSNwGR0dSVZWU7gj66Cug%20aBoPOPen+W6/utT7h6ao/WV+nKdTefrpL8zWXmbkrxKiyRqIkijYRlMnL+UgK24dh7Ojmi9o9HHP%20QTqpk6+qsvWR74VWEKhoF33O0R8g/wBGgTe0+km9z1vc8iT/AHmpA9WCVbVlYhDL4uhrLIK7BiFY%205RnxVT9VXYPnqfZ3t3qezs9nQqmK5azDs0s0kcYlk5pVgikdo4Fll88giVQ7bFtyBoNd2X/dP29/%20yPu/986nQdVoJNNILUcAgkaJ43drQKcaMhQLGwLCTJ8yVxQr5TkQccgroNR7x7iz0vtHvO5qqj2u%20s6+1cgSUExmSCFpFDhSpKkr47Eat+X7eutuNPTt8t71rOOeJmIebziJl57/a909ah8RUbULO0nbW%20bVyyHIKrIkpqgJsBsuFZT47+O/8AoGg9abi1/MLVn/TrWse7HVx+Np+CLbxij1RppBajgEEjRPG7%20taBTjRkKBY2BYSZPmSuKFfKciDjllE6ugaBoJLNIbUkBgkWJI0dbRKcbs5cNGoDGTJMAWyQL5hiS%20csQroGgaCSzSG1JAYJFiSNHW0SnG7OXDRqAxkyTAFskC+YYknLEK6BoGgks0htSQGCRYkjR1tEpx%20uzlw0agMZMkwBbJAvmGJJyxCugaBoJLNIbUkBgkWJI0dbRKcbs5cNGoDGTJMAWyQL5hiScsQroGg%20aCUM0kkk6PBJCsMgSORyhWZSivyR4MzBQzFPOFbJT4Y4sQroGgaCUM0kkk6PBJCsMgSORyhWZSiv%20yR4MzBQzFPOFbJT4Y4sQroGgaCUM0kkk6PBJCsMgSORyhWZSivyR4MzBQzFPOFbJT4Y4sQroGgaD%20wDurMntf+6Hp+3kW111D3dWajdawiSJNMhepDHC0QlCrI9apL+9mocZ4AlRu9pH5vyLU08RN9vbq%20jjxiPmm08e62pjvxwjqhVt4dWJ73v+sItGgaCVaaSaMvJBJWYSSII5ShYqjsiyDjaRcZFUOvjliR%20kFbdQFdA0DQNA0HI+46Xu6L3BN2PV1h29Cz1oop1kt16cME4ld3ndQrq/KropcDNAnl3zOg3vtqt%20dq+3OqrXrg7G7BTrx2uwB3FiVIlV5t//ANxgW/8AHQbHQNBxXuG7Zq/KftXgoT3ufqu4hl9O0C8C%20Pc6rKeTnlh3jTbzCPJ/wU6DtdBJlteqjZZIxUEbiWIoTI0hKcbLJmFVVUOGUoctx4riQwV0Hl/8A%20cp3kfVfEXbR+qera7N4KNUx5hpGeVZJYiyfRXrxS5ZeBG6/t2On9H7adXzCk46q0zaeXDhiJ+Fpr%20jtzx7EO4nFJdf8edHJ0XsT2/1E1VKdqn19aO5WjwxWzxKbBJj3RmaUszMCciSdzvrkebbmNfdaup%20E9VbXtiePy58PPjyxiOyOD3pxisQ3jLa9VGyyRioI3EsRQmRpCU42WTMKqqocMpQ5bjxXEhue9q6%20BoGgkq2vVSM0kZqGNBFEEIkWQF+RmkzKsrKUCqEGOx8WyAUK6BoGgkq2vVSM0kZqGNBFEEIkWQF+%20RmkzKsrKUCqEGOx8WyAUK6BoGgkq2vVSM0kZqGNBFEEIkWQF+RmkzKsrKUCqEGOx8WyAUK6BoGgk%20q2vVSM0kZqGNBFEEIkWQF+RmkzKsrKUCqEGOx8WyAUK6BoGglCtoSTmeSN4mkBqqiFGSPBQVkYu+%20bcgdsgF8pC7bjJgroGgaCUK2hJOZ5I3iaQGqqIUZI8FBWRi75tyB2yAXykLtuMmCugaBoJQraEk5%20nkjeJpAaqohRkjwUFZGLvm3IHbIBfKQu24yYK6BoGg8E/uej7TqKPs/3n6iCa97f7p/TVuF1ifmb%201UHJ+qzfprSVH2PnJLDD93W59EzXVtr7a0eHV0+MxziI8Pd+v93KVbc8MT3S93q2q1utDaqzJYq2%20EWWCeJg8ckbjJXRl3DKwO4I1iL0tS01tGLRwmJ5xKzEqa8hoJVltLGRakjll5JCrRIY1EZdjEpVn%20k3ZY8VZt/MwLAKDiAroGgaBoGg8T+Yuu9i3PeR/zN2nVU7EXWVJesg74B6jyLYtq+AE0b7NHIwm8%20v14WVvIRoPUfYwqD2V7fFOxHbp/bafprcMPpopY+BMJEg2HErr4hNvKPDQbvQct1XyF1fZe4W6aK%20lciRpbtep2cqxCrYn62QQ24o8ZWnUxvkN5IlVsTiT4bh+dl/3T9vf8j7v/fOp0HVaDFkah91rq9j%20G+YJzXq8zLnCHh5pPThgsnGxjGZUlMtgRmcgytB4d/ct/wAV7L4/9nWPJ1nf9yvrJo/CdeN4qw4m%20OSDyXXPmQ+IX/Hfb+j/wqbncx8+lpcO7j1W49vOkdsdqtuOMxHfL3HWIWWLI1D7rXV7GN8wTmvV5%20mXOEPDzSenDBZONjGMypKZbAjM5BlaBoGgxY2ofdbCpYyviCA2KvMzYQl5uGT05YrHyMJBmFBfHY%20k4DEMrQNA0GLG1D7rYVLGV8QQGxV5mbCEvNwyenLFY+RhIMwoL47EnAYhlaBoGgxY2ofdbCpYyvi%20CA2KvMzYQl5uGT05YrHyMJBmFBfHYk4DEMrQNA0GLG1D7rYVLGV8QQGxV5mbCEvNwyenLFY+RhIM%20woL47EnAYhlaBoGgxaTUDZvitY5plnUXo+ZpeGbgiIjwZmEO8XG+ChQcs9t3JIZWgaBoMWk1A2b4%20rWOaZZ1F6PmaXhm4IiI8GZhDvFxvgoUHLPbdySGVoGgaDFpNQNm+K1jmmWdRej5ml4ZuCIiPBmYQ%207xcb4KFByz23ckhlaBoGg84+Zepi7j4Z901eotJMsSzW5JZJ3nUNRueqtxCQmVgyNBJGsf0QgJ5V%20Xw73pjcV0vMNK1u23T8bRNY++ePsRa0ZpLP+D+6+8fE3ti3w8HFSWlhlnv6FmqZ77L+/wZbfs328%20frrx6k2/0d/rVznNur9vxfdnD7ozmkO41xEhoMXrGoNWc0bHqYeewHk5msbTCdxPHmzORxy5Jhvt%20HtgAoXYBlaBoGgaBoOE7D2p8lTe7b3bUvcfWVqEleOvQisdU1qaJOSR5UzFqv+9vHkwPnxHlXHdg%206v291R6foOs6kyLMeuqQVDMkSQK/BGseSxR+SMHHcIvgPoNBsNB5r7X9ve6qvyFZ7Ox1hpQzyX/u%20VwPWehZhllU03pxLI9qCy0ccQskoiSFCWzIjIDL7mz7qX5i6BIOuoyUB1XaLHYkvTJMa7WeqNmQw%20io6iSNthHHyESDxLx7bEO6ha0ZJxPHGkSyAVWRy7PHgpLSKUTBuQuuILeUBt9zioYht9yI6aHr4z%20bljR7jLYBqwsHiWaNZSizSNhJI0X6AV8NnMWQ0GWzWvVRqscZqGNzLKXIkWQFONVjwKsrKXLMXGO%20w8GyJUPDuwa13H923WCrHG8XtzqWF5kc5JHJXmIaRZEi83JfjXGMyeUht98lTb6H4XkGp18Pq6vg%209uJr9nyW545e2FaeOrHsh7Ysna+gru1eAX24fVVxO5hTJlFjjm4Q0nGpYpvGuZABw33XELJJYvr2%20teslPOhJBPJYv8ijimjeFYYeI+ZuVZJGyHguGx/eGgrC1oyTieONIlkAqsjl2ePBSWkUomDchdcQ%20W8oDb7nFQksna+gru1eAX24fVVxO5hTJlFjjm4Q0nGpYpvGuZABw33UKs1r1UarHGahjcyylyJFk%20BTjVY8CrKylyzFxjsPBsiVCVexfe/cgnp8VaLjancWRXWZXXzqyeV45I3U7jYqVKEOSXRALJ2voK%207tXgF9uH1VcTuYUyZRY45uENJxqWKbxrmQAcN91CrNa9VGqxxmoY3MspciRZAU41WPAqyspcsxcY%207DwbIlQQtaMk4njjSJZAKrI5dnjwUlpFKJg3IXXEFvKA2+5xUMSO33LRxo/XxpbEdV7DeoBq5SuV%20sxwyhOZ2gRSy5wIr7oN13bAMtmteqjVY4zUMbmWUuRIsgKcarHgVZWUuWYuMdh4NkSoIWtGScTxx%20pEsgFVkcuzx4KS0ilEwbkLriC3lAbfc4qElk7X0Fd2rwC+3D6quJ3MKZMoscc3CGk41LFN41zIAO%20G+6g9RfPa+mFPagsHI99pFG8zPisMcQyZsVVmkZsQN0C57vxhWFrRknE8caRLIBVZHLs8eCktIpR%20MG5C64gt5QG33OKhJZO19BXdq8Avtw+qridzCmTKLHHNwhpONSxTeNcyADhvuoVZrXqo1WOM1DG5%20llLkSLICnGqx4FWVlLlmLjHYeDZEqEq9i+9+5BPT4q0XG1O4siusyuvnVk8rxyRup3GxUqUIckui%20AWTtfQV3avAL7cPqq4ncwpkyixxzcIaTjUsU3jXMgA4b7qFWa16qNVjjNQxuZZS5EiyApxqseBVl%20ZS5Zi4x2Hg2RKgha0ZJxPHGkSyAVWRy7PHgpLSKUTBuQuuILeUBt9zioYle33MlXeTr44L0ckCTR%20tYBrsriNrEleVUaR1jzdU5Io2dk8QisH0GWzWvVRqscZqGNzLKXIkWQFONVjwKsrKXLMXGOw8GyJ%20UELWjJOJ440iWQCqyOXZ48FJaRSiYNyF1xBbygNvucVCSydr6Cu7V4Bfbh9VXE7mFMmUWOObhDSc%20alim8a5kAHDfdQR2L733i9HxUos1NmSRcpGxiaNoY0z3jOcisZGRlZPBGVg2grC1oyTieONIlkAq%20sjl2ePBSWkUomDchdcQW8oDb7nFQksna+gru1eAX24fVVxO5hTJlFjjm4Q0nGpYpvGuZABw33UKs%201r1UarHGahjcyylyJFkBTjVY8CrKylyzFxjsPBsiVCVKxfls347NP00NedY6M3IsnqYTBFIZsV8Y%209pXkixbx8mX0YaAsna+gru1eAX24fVVxO5hTJlFjjm4Q0nGpYpvGuZABw33UKs1r1UarHGahjcyy%20lyJFkBTjVY8CrKylyzFxjsPBsiVBC1oyTieONIlkAqsjl2ePBSWkUomDchdcQW8oDb7nFQwAew7H%20oxH2HVQLYs/7P2PWWZllrmJpOKwVkWOQSxtFk8SvGpcYq4iJbH1S9qWi1ZxaOMTHOJJh4x/a1J2n%20VH3d7JsV4HHQdlI13sI5nOViTasscUJiXeP/AGKRjIzg+KjDxJG39bRXVtobms+HV0+ETziI8Xf+%20v93OVbbcMx3S92ha0ZJxPHGkSyAVWRy7PHgpLSKUTBuQuuILeUBt9ziuGWUlk7X0Fd2rwC+3D6qu%20J3MKZMoscc3CGk41LFN41zIAOG+6ggsX5Zkyp+nrfrrKZpF5g0UoSFkjj5UaOZMpNzIrKMQU3LBA%20rC1oyTieONIlkAqsjl2ePBSWkUomDchdcQW8oDb7nFQVGtNVha5HHDbaNTYihcyxpIQM1SRkiZ1D%20eAYou/4D6aCugaBoPIPku/bX3N1vufrO36690/WQSi51ljtfRwKrVbkUzyJGJVmEnqIWJxLJw7IP%20OdB6Z7YrWavtrqa1q79yswUq8c/Y/X1EiRKrT/t/1hGX/joNnoGg5Xsv+6ft7/kfd/751Og6rQSZ%20bXqo2WSMVBG4liKEyNISnGyyZhVVVDhlKHLceK4kMFdB4d8P/wDG/nH5N9x2/Je66ZOngji8IjAs%20rwhmDZNyY9dH4hgNy3h9Ntv5/wDg+V7TRr8t465zzziJ+z8Sfu499bS43tL3HWIWUmW16qNlkjFQ%20RuJYihMjSEpxssmYVVVQ4ZShy3HiuJDBXQNA0ElW16qRmkjNQxoIoghEiyAvyM0mZVlZSgVQgx2P%20i2QChXQNA0ElW16qRmkjNQxoIoghEiyAvyM0mZVlZSgVQgx2Pi2QChXQNA0ElW16qRmkjNQxoIog%20hEiyAvyM0mZVlZSgVQgx2Pi2QChXQNA0ElW16qRmkjNQxoIoghEiyAvyM0mZVlZSgVQgx2Pi2QCh%20XQNA0EoVtCSczyRvE0gNVUQoyR4KCsjF3zbkDtkAvlIXbcZMFdA0DQShW0JJzPJG8TSA1VRCjJHg%20oKyMXfNuQO2QC+UhdtxkwV0DQNBKFbQknM8kbxNIDVVEKMkeCgrIxd825A7ZAL5SF23GTBXQNA0E%20qy2ljItSRyy8khVokMaiMuxiUqzybsseKs2/mYFgFBxAeFe3E/yl/dL3XV8U1frvd9JrdKGOTOKS%20cqLMliVS5K/qwWlXcbqW2UBG1u93P5vyLT1MxN9vbpnhxiPliscO62nnvxxnqhVr4dWY73vWsItG%20glWW0sZFqSOWXkkKtEhjURl2MSlWeTdljxVm38zAsAoOICugaBoGgaDz/ufjERXpbftir08CWqz1%205qfY0+eFJHmknaxFgyEO7TtyKf39k8Rj4h2XQ9Y3VdH13VtYe21CrDVNqQAPKYYwnIwHhu2O50Gd%20oGg4Xv8ArLtj5e9szw9tbpxR9N2rvVgWqY5Fhu9YXjYzQSyYz8iiTFwwwXAocsg7rQYsjUPutdXs%20Y3zBOa9XmZc4Q8PNJ6cMFk42MYzKkplsCMzkE+97it0vR9j3NpXer1laa5OkQBkMcEZkYIGKgsQv%20huRqfbbe2tq106/Ne0VjPLMzh8tOIy8q/tT6ezQ+KhamZGj7bsLNysEJLLGgSqQ+4GzZ1mPhv4bf%206BqfXG4rff8ATH+nStZ9/G3D4Wj4oNtGKvY9Y9YYsjUPutdXsY3zBOa9XmZc4Q8PNJ6cMFk42MYz%20KkplsCMzkGVoGgaDFjah91sKljK+IIDYq8zNhCXm4ZPTlisfIwkGYUF8diTgMQytA0DQYsbUPuth%20UsZXxBAbFXmZsIS83DJ6csVj5GEgzCgvjsScBiGVoGgaDFjah91sKljK+IIDYq8zNhCXm4ZPTlis%20fIwkGYUF8diTgMQytA0DQYsbUPuthUsZXxBAbFXmZsIS83DJ6csVj5GEgzCgvjsScBiGVoGgaDFp%20NQNm+K1jmmWdRej5ml4ZuCIiPBmYQ7xcb4KFByz23ckhlaBoGgxaTUDZvitY5plnUXo+ZpeGbgiI%20jwZmEO8XG+ChQcs9t3JIZWgaBoMWk1A2b4rWOaZZ1F6PmaXhm4IiI8GZhDvFxvgoUHLPbdySGVoG%20gaDF6xqDVnNGx6mHnsB5OZrG0wncTx5szkccuSYb7R7YAKF2AeH/AD0/+V/lH4/9/LLNWrxzfbu2%20ucfLBFVWQFl2COeSWCzY/FiF8gBXfW79MR+Z2O52mImcdVYziZtj38otWns4+LhKrreG0We9awi0%20aDF6xqDVnNGx6mHnsB5OZrG0wncTx5szkccuSYb7R7YAKF2AZWgaBoGgaDzX5ItfIUfcyN0fZWaH%20TUaMNuyvXw9dPZYmWeOxkt7LHFeGSPwCsqSjLLHQdr7Tkuy+1emkvM7XXo1mtNK8cshlMKly8kIW%20N2y33ZAFP7PDQbXQebe2vffa9z71jF31vXdHdluVvbsSQVTTuNSyEpsWC01nlcI00SqkSBFILO24%20Ab/sv+6ft7/kfd/751Og6rQSaaQWo4BBI0Txu7WgU40ZCgWNgWEmT5krihXynIg45Bw/zx3Fnqfi%20L3NarKjySVlpsJASvHdlSrIRsV8wSZiv+O2+/wBNd70xt66vmGlW3Zbq+NYm0ffHH2ItacUllfDH%20T1up+Kva9WszvHJ18VxjIQW5Lo9VIBsF8oeZgv8Ahtvv9dReodxbV3+ta3Zea/Cvhj7o4+190oxW%20HZ64yRJppBajgEEjRPG7taBTjRkKBY2BYSZPmSuKFfKciDjkFdA0DQSWaQ2pIDBIsSRo62iU43Zy%204aNQGMmSYAtkgXzDEk5YhXQNA0ElmkNqSAwSLEkaOtolON2cuGjUBjJkmALZIF8wxJOWIV0DQNBJ%20ZpDakgMEixJGjraJTjdnLho1AYyZJgC2SBfMMSTliFdA0DQSWaQ2pIDBIsSRo62iU43Zy4aNQGMm%20SYAtkgXzDEk5YhXQNA0EoZpJJJ0eCSFYZAkcjlCsylFfkjwZmChmKecK2SnwxxYhXQNA0EoZpJJJ%200eCSFYZAkcjlCsylFfkjwZmChmKecK2SnwxxYhXQNA0EoZpJJJ0eCSFYZAkcjlCsylFfkjwZmChm%20KecK2SnwxxYhXQNA0Eq00k0ZeSCSswkkQRylCxVHZFkHG0i4yKodfHLEjIK26gPK/wC6Hp61/wCI%20r1qZnWTqbNW5WCEBWkeUVSH3B3XCyx8NvHb/AEHV+i9xanmFax/qVtWfdjq4fGsfBBuIzR3Hx53k%20ne+xPb/bzWkuWrnX1pLlmPDFrPEosAiPZFZZQysoAxII2G2uJ5tto0N1q6cR01re2I4/Lnw8+PLG%20J7Y4pNOc1iXQ6572lWmkmjLyQSVmEkiCOUoWKo7Isg42kXGRVDr45YkZBW3UBXQNA0DQNB5F79m9%20rdd8mWOz7T3LB7Y7YdLRTqLtiREVjHavGWNo3kC2IXEi80bKPyFGDeKh3XxtXr1/jr2tXr2UuV4e%20ooRw3I1dEmRa0YWRVkCuA4GQDAH8RoOj0HM9V7A6vru4XsI7dqaCCaza63q5miNWnPcLGxJXxjWb%20z8j7CSRlUMQgUeGg1ff+3ugv/L3tm5e6ypbtw9N2s0NieCOSRJKt3rGrurspYNC08hjI/dybb6nQ%20drDUqwSTywQxxS2pBNadFCtLIEWIPIQPMwjjRNz+VQPoNBiHp6ojp0Y69RelpxoIuu9OCqSVniem%200OzCONYOIlV4z5sCpXDzB4z/AHUVKvb1/ZvtmGGMd93PbcPW3pVGEUbBYJUeUBpEV5LELEKp3w3P%20iq62/or8K+tuZ+TS0pz38fFw7OVJ7Y7Fbc8YiO+XuMNSrBJPLBDHFLakE1p0UK0sgRYg8hA8zCON%20E3P5VA+g1iFlJep6paFfr1pwChU4fS0xEghi9KyvX449sV4mjVk2HlIG300CSln2te9jAeCCeDNo%20crA5nhbaOfIYRnh/UTE5nA7jDzBWGpVgknlghjiltSCa06KFaWQIsQeQgeZhHGibn8qgfQaCS9T1%20S0K/XrTgFCpw+lpiJBDF6Vlevxx7YrxNGrJsPKQNvpoKtUqtajuNDG1uGN4YrBUGRI5SjSIr7ZBX%20aJCwH1xH4DQSr0uC/cnjWCOG3xySLHDhM9hV43lmlDbSbxJCi+QFQn7zAgKBep6paFfr1pwChU4f%20S0xEghi9KyvX449sV4mjVk2HlIG300FWqVWtR3Ghja3DG8MVgqDIkcpRpEV9sgrtEhYD64j8BoEN%20SrBJPLBDHFLakE1p0UK0sgRYg8hA8zCONE3P5VA+g0GJH09VY46Jr1PstWOqOv65a4VYJKjl0ZfM%20Y8UwiMSrGvGyb7ncYhltUqtajuNDG1uGN4YrBUGRI5SjSIr7ZBXaJCwH1xH4DQIalWCSeWCGOKW1%20IJrTooVpZAixB5CB5mEcaJufyqB9BoJL1PVLQr9etOAUKnD6WmIkEMXpWV6/HHtivE0asmw8pA2+%20mgeiy7X10qwPxQcFR+H/AGiPkfKwOcsf05eOHyBR4puS3lxCsNSrBJPLBDHFLakE1p0UK0sgRYg8%20hA8zCONE3P5VA+g0El6nqloV+vWnAKFTh9LTESCGL0rK9fjj2xXiaNWTYeUgbfTQVapVa1HcaGNr%20cMbwxWCoMiRylGkRX2yCu0SFgPriPwGglXpcF+5PGsEcNvjkkWOHCZ7CrxvLNKG2k3iSFF8gKhP3%20mBAUC9T1S0K/XrTgFCpw+lpiJBDF6Vlevxx7YrxNGrJsPKQNvpoKtUqtajuNDG1uGN4YrBUGRI5S%20jSIr7ZBXaJCwH1xH4DQIalWCSeWCGOKW1IJrTooVpZAixB5CB5mEcaJufyqB9BoMSv09VKvoJa9R%20urrSQHq6MdcJHXjqiNoFxLOhaKaLONkVMfKAN1yIZbVKrWo7jQxtbhjeGKwVBkSOUo0iK+2QV2iQ%20sB9cR+A0CGpVgknlghjiltSCa06KFaWQIsQeQgeZhHGibn8qgfQaCS9T1S0K/XrTgFCpw+lpiJBD%20F6Vlevxx7YrxNGrJsPKQNvpoEdLe+92ysEs0ecdCZYcZoa8qxGWJpGZy2csOZxxBAQFSUyIVhqVY%20JJ5YIY4pbUgmtOihWlkCLEHkIHmYRxom5/KoH0GgkvU9UtCv1604BQqcPpaYiQQxelZXr8ce2K8T%20RqybDykDb6aCrVKrWo7jQxtbhjeGKwVBkSOUo0iK+2QV2iQsB9cR+A0EqVL09m/NjAvrJ1n3hh4n%20baCKHed8m5pP0tg+y+TFNvLuQL1PVLQr9etOAUKnD6WmIkEMXpWV6/HHtivE0asmw8pA2+mgq1Sq%201qO40MbW4Y3hisFQZEjlKNIivtkFdokLAfXEfgNAhqVYJJ5YIY4pbUgmtOihWlkCLEHkIHmYRxom%205/KoH0GgxKnT1Y+sh66xXqSVKsimnWhriKvDHXmElNUhLSKrV1SPZl28y5KE8FAY/un21V7/AKXs%20qDccFu919vrYuwMYkkgjuxhJMfFWxLIjMoYZYj8Bqzstx9DWpq4z0WrbHficvlozEw8v/tMuix8X%20TRCtBAafZ2ITLCmDzbxwy8k7b+eQcvGG/wDQqj9mtP6429ab/qj/AFKVtPv414fCsfFBtpzV68vU%209UtCv1604BQqcPpaYiQQxelZXr8ce2K8TRqybDykDb6ax6wQUv1kt3Fgnvxc8cFqOHjZK80ocRAs%200rfuxRcmzAOyZYr4KoVhqVYJJ5YIY4pbUgmtOihWlkCLEHkIHmYRxom5/KoH0GgVKlWnVhp04Y61%20StGsNevCoSOONAFRERQFVVUbAD6aCugaBoPMvkWX3j1/vXqO4pUbd729BWmgux9cKiylZa9rmE00%207RyRqJhTaMq4QbOz/RNB3HtKldo+1Olo3kgjvVaNaC1HUVUrrLHCqusKIFVYwwOIA2A0G10DQcL3%20/eUqXy97ZqzR22ll6btYkaCnanjDWbvWKhaWGKSNFHC3IzMFj8pcqHXcO60GLI1D7rXV7GN8wTmv%20V5mXOEPDzSenDBZONjGMypKZbAjM5B4x8l/8b/uL+PPblvyUeuhk7iCSLwlM6mWYKxbJePLro/AK%20DsW8fptt/J/wfJ9zrV+a8xSc8scI+38Sfu4d9bU46lYe46xCyaDFkah91rq9jG+YJzXq8zLnCHh5%20pPThgsnGxjGZUlMtgRmcgytA0DQYsbUPuthUsZXxBAbFXmZsIS83DJ6csVj5GEgzCgvjsScBiGVo%20GgaDFjah91sKljK+IIDYq8zNhCXm4ZPTlisfIwkGYUF8diTgMQytA0DQYsbUPuthUsZXxBAbFXmZ%20sIS83DJ6csVj5GEgzCgvjsScBiGVoGgaDFjah91sKljK+IIDYq8zNhCXm4ZPTlisfIwkGYUF8diT%20gMQytA0DQYtJqBs3xWsc0yzqL0fM0vDNwRER4MzCHeLjfBQoOWe27kkMrQNA0GLSagbN8VrHNMs6%20i9HzNLwzcEREeDMwh3i43wUKDlntu5JDK0DQNBi0moGzfFaxzTLOovR8zS8M3BERHgzMId4uN8FC%20g5Z7buSQytA0DQYvWNQas5o2PUw89gPJzNY2mE7iePNmcjjlyTDfaPbABQuwDK0HgvwxX/yx84/I%20ntBa0KQ2se0rNWOEUMCy8kECxYKP9V2Kg7bBSuw3Hjrd+ob/AJnyva7jM5r4JzzmcYm2c9+nPvzn%20gq6XC9oe9awi0xesag1ZzRseph57AeTmaxtMJ3E8ebM5HHLkmG+0e2AChdgGVoGgaBoGg8h91VE9%20691FZ6frOs7jrO36eAVZ+27S31/NG8losK9KKGWQjjIZpXQBlK4khToPT/b1G3Q6DrKN2SOW5UqQ%20QWZYQVjaWONVdkDEkKWHgDoM/QYR7rqh3Q6P1C/dmrG76QblxXEgi5DsNgC52G58fHb6HQaLsv8A%20un7e/wCR93/vnU6DqtBJppBajgEEjRPG7taBTjRkKBY2BYSZPmSuKFfKciDjkHifxp/xv+4v5D9x%201PJR66GPp545fCUzqYoSyhcl48uuk8SwOxXw+u2384/B8n22jb5rzN4xyxxn7fxI+/j31tPjqWl7%20jrELJoJNNILUcAgkaJ43drQKcaMhQLGwLCTJ8yVxQr5TkQccgroGgaCSzSG1JAYJFiSNHW0SnG7O%20XDRqAxkyTAFskC+YYknLEK6BoGgks0htSQGCRYkjR1tEpxuzlw0agMZMkwBbJAvmGJJyxCugaBoJ%20LNIbUkBgkWJI0dbRKcbs5cNGoDGTJMAWyQL5hiScsQroGgaCSzSG1JAYJFiSNHW0SnG7OXDRqAxk%20yTAFskC+YYknLEK6BoGglDNJJJOjwSQrDIEjkcoVmUor8keDMwUMxTzhWyU+GOLEK6BoGglDNJJJ%20OjwSQrDIEjkcoVmUor8keDMwUMxTzhWyU+GOLEK6BoGglDNJJJOjwSQrDIEjkcoVmUor8keDMwUM%20xTzhWyU+GOLEK6BoGglWmkmjLyQSVmEkiCOUoWKo7Isg42kXGRVDr45YkZBW3UBXQeC++U/yn/cx%207T9wrFND1/uiEddckgk39TaYGoFkjLj9OPkqM3hj5cgC4Ot35bP5ryXW0cxN9GeqMx8tfm4TjnON%20SO/jicRKrfw6kT3vetYRaSrTSTRl5IJKzCSRBHKULFUdkWQcbSLjIqh18csSMgrbqAroGgaBoGg8%20n9ufE3vzrant2aX3ZVi7ToOo+0VzH1iTRxxusAkVZHljeTE1VCuVU7b+AyI0Hovtal21H2x1FHuL%20AudvVpV4OxtqzOJbMcSrNIHcKzZuCdyAToNnoPMug6z35B8pQ3e26mktax11wXezrXLE67vPCYlA%20elAgcLGiLFn+4C2RYeYNn38/fp8ve2Vo0qk9Q9N2omlntSQyLG13rPUMsa15lZo1EZjUuM8m3KYg%20uHawtaMk4njjSJZAKrI5dnjwUlpFKJg3IXXEFvKA2+5xUMQt35jpzCOospjQdhSzkZVkd4s2htYL%20ksMfLirQDlbDxiG+g8Z/tUa12HS+4fclmOObsO57awe37EuUkeSOOGaFVrqnDiWt2GZlK7eA2YHy%20bf1x+HraWhXhpaelHTHdxmOfPlWvOexW23GJnty9xha0ZJxPHGkSyAVWRy7PHgpLSKUTBuQuuILe%20UBt9ziuIWUlk7X0Fd2rwC+3D6quJ3MKZMoscc3CGk41LFN41zIAOG+6gk+6/da/FwfaeCf1eWfqP%20UZw+n49vJx4c3Jv474bfm0FYWtGScTxxpEsgFVkcuzx4KS0ilEwbkLriC3lAbfc4qElk7X0Fd2rw%20C+3D6quJ3MKZMoscc3CGk41LFN41zIAOG+6hVmteqjVY4zUMbmWUuRIsgKcarHgVZWUuWYuMdh4N%20kSoSr/dTfuGzwLQHGtBI82mOy7yyTM2KrkzYrGqnYLkXOeEYFk7X0Fd2rwC+3D6quJ3MKZMoscc3%20CGk41LFN41zIAOG+6hVmteqjVY4zUMbmWUuRIsgKcarHgVZWUuWYuMdh4NkSoIWtGScTxxpEsgFV%20kcuzx4KS0ilEwbkLriC3lAbfc4qGJG3f8cc0kdTleOqJaSvJjFIXPrGW0U/WVY2HEvBHuy+YgP5A%20y2a16qNVjjNQxuZZS5EiyApxqseBVlZS5Zi4x2Hg2RKgha0ZJxPHGkSyAVWRy7PHgpLSKUTBuQuu%20ILeUBt9zioSWTtfQV3avAL7cPqq4ncwpkyixxzcIaTjUsU3jXMgA4b7qD/io7X/9BupaD/41sR2F%20f/8AMkkciN/8JQr+fP8ATCsLWjJOJ440iWQCqyOXZ48FJaRSiYNyF1xBbygNvucVCSydr6Cu7V4B%20fbh9VXE7mFMmUWOObhDScalim8a5kAHDfdQqzWvVRqscZqGNzLKXIkWQFONVjwKsrKXLMXGOw8Gy%20JUJV/upv3DZ4FoDjWgkebTHZd5ZJmbFVyZsVjVTsFyLnPCMCydr6Cu7V4Bfbh9VXE7mFMmUWOObh%20DScalim8a5kAHDfdQqzWvVRqscZqGNzLKXIkWQFONVjwKsrKXLMXGOw8GyJUELWjJOJ440iWQCqy%20OXZ48FJaRSiYNyF1xBbygNvucVDErt34q8liOo1uSSA+ljeRY4Y2Ea2F5yjNOyNyvG3DHn5UITxf%20QZbNa9VGqxxmoY3MspciRZAU41WPAqyspcsxcY7DwbIlQQtaMk4njjSJZAKrI5dnjwUlpFKJg3IX%20XEFvKA2+5xUJLJ2voK7tXgF9uH1VcTuYUyZRY45uENJxqWKbxrmQAcN91BH91W+4k4JKD5tG65xz%20RbLEEjZTyLLk3MxkyTEYLg3i+grC1oyTieONIlkAqsjl2ePBSWkUomDchdcQW8oDb7nFQksna+gr%20u1eAX24fVVxO5hTJlFjjm4Q0nGpYpvGuZABw33UKs1r1UarHGahjcyylyJFkBTjVY8CrKylyzFxj%20sPBsiVCVL7r6m/63g9Nzr9s4c8/T8EWXPl4cnqOXbDwwx/bvoCydr6Cu7V4Bfbh9VXE7mFMmUWOO%20bhDScalim8a5kAHDfdQqzWvVRqscZqGNzLKXIkWQFONVjwKsrKXLMXGOw8GyJUELWjJOJ440iWQC%20qyOXZ48FJaRSiYNyF1xBbygNvucVDEqN369ZC1yOpJ2jyKbEULyR1443mGapIySPI0MJ2DFE5WX6%20RBtkDLZrXqo1WOM1DG5llLkSLICnGqx4FWVlLlmLjHYeDZEqHh391fX9gfaPXe4IK7xX+j7aP0HZ%20VJZjJDWngyeaTFY1hb1cUaqd222QhgXKjb+htaPzN9G0x0amnPhnHimJ5cefhm3DuznkrbmOET3P%20Yuq7ax2nt7rO2pRwSt2ENWziJZVhEVgI8jRyPCsjYxszIHiQuQA2G5K43W0baV7UvGLVmYn3xwlY%20icxllQfdUmRJ+CaFudpLEecTL+qDWjEJ5Q/6TESSci+Zdwmz7JE+qwtaMk4njjSJZAKrI5dnjwUl%20pFKJg3IXXEFvKA2+5xUFRrTVYWuRxw22jU2IoXMsaSEDNUkZImdQ3gGKLv8AgPpoK6BoGgaBoGga%20Dley/wC6ft7/AJH3f++dToOq0HA/Nnc9P1Hx/wC4LFyVzbl6i5UrVI5SGdbjQ1GlNcuiOsU08OUh%20UlAxC/vkN2fT23tq7/RrXsvFvhXxT90cPaj1ZxWX78D9PZ6n4i9s1bLI8klZrimMkrx3ZXtRg7hf%20MEmUN/jvtv8AXUvqfcV1fMNW1ey3T8axFZ++OHsfNGMUh3uuClNBiyNQ+611exjfME5r1eZlzhDw%2080npwwWTjYxjMqSmWwIzOQZWgaBoMWNqH3WwqWMr4ggNirzM2EJebhk9OWKx8jCQZhQXx2JOAxDK%200DQNBixtQ+62FSxlfEEBsVeZmwhLzcMnpyxWPkYSDMKC+OxJwGIZWgaBoMWNqH3WwqWMr4ggNirz%20M2EJebhk9OWKx8jCQZhQXx2JOAxDK0DQNBixtQ+62FSxlfEEBsVeZmwhLzcMnpyxWPkYSDMKC+Ox%20JwGIZWgaBoMWk1A2b4rWOaZZ1F6PmaXhm4IiI8GZhDvFxvgoUHLPbdySGVoGgaDFpNQNm+K1jmmW%20dRej5ml4ZuCIiPBmYQ7xcb4KFByz23ckhlaBoGgxaTUDZvitY5plnUXo+ZpeGbgiIjwZmEO8XG+C%20hQcs9t3JIZWgaBoMXrGoNWc0bHqYeewHk5msbTCdxPHmzORxy5JhvtHtgAoXYBlaDjPmfp63bfFX%20uirZZ0jj6+W4pjIDclIeqjB3DeUvCob/AA322+uuz6e3FtLf6Nq9t4r8LeGfunh7UerGay1n9vPe%20Sdv8RdDJNaSzappLRmCYZRLWlaOCJ1TbFlriP6+JBDHfffVn1Xto0vMNSIjprbFo58eqIm0xn9bq%209meHY86E5pDvOsag1ZzRseph57AeTmaxtMJ3E8ebM5HHLkmG+0e2AChdhnUzK0DQNA0DQNA0DQNB%20wvf9ZdsfL3tmeHtrdOKPpu1d6sC1THIsN3rC8bGaCWTGfkUSYuGGC4FDlkHdaDxL+7TuOxpfHFaj%20WSQVe0vxQ3pwIjHhEjTpC2R5QzyRq6lF28hDMNwG2XobRrffTMxxpp2mPfmtf7rSr7mfC9k6vraX%20V9bU6yjHw0aMMdarDkzYRQoERcmLMdlUDcnfWS1ta2re17zm1pmZ988ZTxGIwydRPpoJNNILUcAg%20kaJ43drQKcaMhQLGwLCTJ8yVxQr5TkQccgroGgaCSzSG1JAYJFiSNHW0SnG7OXDRqAxkyTAFskC+%20YYknLEK6BoGgks0htSQGCRYkjR1tEpxuzlw0agMZMkwBbJAvmGJJyxCugaBoJLNIbUkBgkWJI0db%20RKcbs5cNGoDGTJMAWyQL5hiScsQroGgaCSzSG1JAYJFiSNHW0SnG7OXDRqAxkyTAFskC+YYknLEK%206BoGglDNJJJOjwSQrDIEjkcoVmUor8keDMwUMxTzhWyU+GOLEK6BoGglDNJJJOjwSQrDIEjkcoVm%20Uor8keDMwUMxTzhWyU+GOLEK6BoGglDNJJJOjwSQrDIEjkcoVmUor8keDMwUMxTzhWyU+GOLEK6B%20oGglWmkmjLyQSVmEkiCOUoWKo7Isg42kXGRVDr45YkZBW3UBXQNB4L/bDY+zdl739gyWYZvsnZvJ%20Vk24558XapPLxl3/AE19NF9P3S/ix3Gt36zp9am33cRMfU0+PbEcrVjOOfit78cuEqu34TNe57rW%20mkmjLyQSVmEkiCOUoWKo7Isg42kXGRVDr45YkZBW3UYRaV0DQNA0DQNA0DQcdS6izV9/rL1/aXbV%20X0s7e4K9q1JPAJpXjanxwuTHA+Il8sCqMf3h4puF+y/7p+3v+R93/vnU6DqtB4p8vVJ+9+Z/jTpq%20a4WOsst2liWXwiMIkScqpXNs8eukHioG7L4+Jx0nkfm2httvudK8/iaul4Y/d7cZz15xXM9NLzMR%20iOqe3lmtfQ/MxH4VLxWZ9sxn4RHCMzjjasRnjj2vWbQGgaCTLa9VGyyRioI3EsRQmRpCU42WTMKq%20qocMpQ5bjxXEhgroGgaCSra9VIzSRmoY0EUQQiRZAX5GaTMqyspQKoQY7HxbIBQroGgaCSra9VIz%20SRmoY0EUQQiRZAX5GaTMqyspQKoQY7HxbIBQroGgaCSra9VIzSRmoY0EUQQiRZAX5GaTMqyspQKo%20QY7HxbIBQroGgaCSra9VIzSRmoY0EUQQiRZAX5GaTMqyspQKoQY7HxbIBQroGgaCUK2hJOZ5I3ia%20QGqqIUZI8FBWRi75tyB2yAXykLtuMmCugaBoJQraEk5nkjeJpAaqohRkjwUFZGLvm3IHbIBfKQu2%204yYK6BoGglCtoSTmeSN4mkBqqiFGSPBQVkYu+bcgdsgF8pC7bjJgroGgaCVZbSxkWpI5ZeSQq0SG%20NRGXYxKVZ5N2WPFWbfzMCwCg4gK6BoPCoWs9B/dtOJo0nj93dSBWZHIaGOKBSWcFfFi/WMuIP0YH%20f8utzaK6/p+MTj6Gpx9szbs492pHxjGO1W5avvj+39z3CstpYyLUkcsvJIVaJDGojLsYlKs8m7LH%20irNv5mBYBQcRhllXQNA0DQNA0DQNBzvU+wPbfVdoezqC61oyST7WOx7C1EJpVKPIILE8sIcoxXIJ%20uB4Dw0Gn7/290F/5e9s3L3WVLduHpu1mhsTwRySJJVu9Y1d1dlLBoWnkMZH7uTbfU6DtYalWCSeW%20CGOKW1IJrTooVpZAixB5CB5mEcaJufyqB9BoOTn+NPjNvcVK4/WV4+5hENnr4ElkiCp1vDHE8VZH%20WPCv+ivlTFfLv9dQTtqTfrx4vi6lPOt1Xb/lot+Dx8PTWec55zGefGJzmJ5OsapVa1HcaGNrcMbw%20xWCoMiRylGkRX2yCu0SFgPriPwGp3LIalWCSeWCGOKW1IJrTooVpZAixB5CB5mEcaJufyqB9BoJL%201PVLQr9etOAUKnD6WmIkEMXpWV6/HHtivE0asmw8pA2+mgjPW6Zu/pWpjH96iqWoqSmQiQ1ZJK7W%20isWXmUSRwZNicfAbjLxDLhqVYJJ5YIY4pbUgmtOihWlkCLEHkIHmYRxom5/KoH0GgkvU9UtCv160%204BQqcPpaYiQQxelZXr8ce2K8TRqybDykDb6aCrVKrWo7jQxtbhjeGKwVBkSOUo0iK+2QV2iQsB9c%20R+A0GJUrdNB3PYPVMadpZjrzdjAkhyK7PFBPJCGxDOsTR8uOTrGFJIjUKFl6nqloV+vWnAKFTh9L%20TESCGL0rK9fjj2xXiaNWTYeUgbfTQVapVa1HcaGNrcMbwxWCoMiRylGkRX2yCu0SFgPriPwGgQ1K%20sEk8sEMcUtqQTWnRQrSyBFiDyEDzMI40Tc/lUD6DQa+Hq/bYmPWxRQH0cFIr1IYGGvDWld6UkdTf%20ihxlibB1QEmMeJ41xDYNUqtajuNDG1uGN4YrBUGRI5SjSIr7ZBXaJCwH1xH4DQIalWCSeWCGOKW1%20IJrTooVpZAixB5CB5mEcaJufyqB9BoJL1PVLQr9etOAUKnD6WmIkEMXpWV6/HHtivE0asmw8pA2+%20mgitbpn7+S0DHJ3UFRImUyF5Ias0jspWIseJZ5ITkyqOTjAYtxriGXDUqwSTywQxxS2pBNadFCtL%20IEWIPIQPMwjjRNz+VQPoNBJep6paFfr1pwChU4fS0xEghi9KyvX449sV4mjVk2HlIG300FWqVWtR%203Ghja3DG8MVgqDIkcpRpEV9sgrtEhYD64j8BoMSpW6aDueweqY07SzHXm7GBJDkV2eKCeSENiGdY%20mj5ccnWMKSRGoULL1PVLQr9etOAUKnD6WmIkEMXpWV6/HHtivE0asmw8pA2+mgq1Sq1qO40MbW4Y%203hisFQZEjlKNIivtkFdokLAfXEfgNAhqVYJJ5YIY4pbUgmtOihWlkCLEHkIHmYRxom5/KoH0Gg19%20Hq/bYhn66pFBLWpz1xJ14YSw1Jq0UElaOOAlkrcSJDKiIqgHaQDdsiGwapVa1HcaGNrcMbwxWCoM%20iRylGkRX2yCu0SFgPriPwGgQ1KsEk8sEMcUtqQTWnRQrSyBFiDyEDzMI40Tc/lUD6DQSXqeqWhX6%209acAoVOH0tMRIIYvSsr1+OPbFeJo1ZNh5SBt9NBGrW6Z+zt24DHY7GCRobEhkM0lZpYYHeBcmb06%20yRxwSNEuKt4ORu2RDLhqVYJJ5YIY4pbUgmtOihWlkCLEHkIHmYRxom5/KoH0GgkvU9UtCv1604BQ%20qcPpaYiQQxelZXr8ce2K8TRqybDykDb6aCrVKrWo7jQxtbhjeGKwVBkSOUo0iK+2QV2iQsB9cR+A%200GJ1lbpobvbSdeYzbs21l7cJIXYWhVgjUSLk3G3po4fLsPLs23m3IWXqeqWhX69acAoVOH0tMRII%20YvSsr1+OPbFeJo1ZNh5SBt9NBVqlVrUdxoY2twxvDFYKgyJHKUaRFfbIK7RIWA+uI/AaBDUqwSTy%20wQxxS2pBNadFCtLIEWIPIQPMwjjRNz+VQPoNBr+r6v239oi6/r4oLHU1J2EEAYWIYZqlksI4wxcR%20+lsR4oi7CEoFULgAA2DVKrWo7jQxtbhjeGKwVBkSOUo0iK+2QV2iQsB9cR+A0CGpVgknlghjiltS%20Ca06KFaWQIsQeQgeZhHGibn8qgfQaDwX+4uh1/truvjj3VD1scPTe378de21SOFHWGCSGetWjTeP%20dVjgm41/cXx/dy8d36PmdbR3O2i3i1NPwxOccrVmfZzrntn24VdxwmLPb+urdNIwuUzHblhktwpc%20MhsyRtJY3twLM7SOiieHFog2K4BdgEAGEWmXDUqwSTywQxxS2pBNadFCtLIEWIPIQPMwjjRNz+VQ%20PoNAqVKtOrDTpwx1qlaNYa9eFQkccaAKiIigKqqo2AH00FdA0DQNA0DQNBwHc+5eug+YugovDeMy%20dV2lYvH196SHO1Z6poyJ0haJo1C/qSBsIz4OykjQd/oJNNILUcAgkaJ43drQKcaMhQLGwLCTJ8yV%20xQr5TkQccgroGgaCTTSC1HAIJGieN3a0CnGjIUCxsCwkyfMlcUK+U5EHHIK6BoGgks0htSQGCRYk%20jR1tEpxuzlw0agMZMkwBbJAvmGJJyxCugaBoJLNIbUkBgkWJI0dbRKcbs5cNGoDGTJMAWyQL5hiS%20csQroGgaCSzSG1JAYJFiSNHW0SnG7OXDRqAxkyTAFskC+YYknLEK6BoGgks0htSQGCRYkjR1tEpx%20uzlw0agMZMkwBbJAvmGJJyxCugaBoJQzSSSTo8EkKwyBI5HKFZlKK/JHgzMFDMU84VslPhjixCug%20aBoJQzSSSTo8EkKwyBI5HKFZlKK/JHgzMFDMU84VslPhjixCugaBoJQzSSSTo8EkKwyBI5HKFZlK%20K/JHgzMFDMU84VslPhjixCugaBoJVppJoy8kElZhJIgjlKFiqOyLIONpFxkVQ6+OWJGQVt1AV0DQ%20eaf3F+2/vnxN2/HX9Rb6vj7Kr58OP07fryeLKrY1Wl8p33/YMttaT0lvPob+mZxW+aT7c/LH7XT/%20AOmUOvXNJbz4i9w/5h+M/bnaM80sz0kgszWTlLJPV3rTyM2Tls5YmYMTuQdz46pefbT8vvdXT4RH%20VMxjlEW8UR8ImHrStmsS6/XISGgaBoGgaBoGg5zrPffVdj3R62KvYjikksQUOzkEQq25qTYWo4CJ%20GlyhZWBzjUNixQso30EOy/7p+3v+R93/AL51Og6rQSZbXqo2WSMVBG4liKEyNISnGyyZhVVVDhlK%20HLceK4kMFdA0DQSZbXqo2WSMVBG4liKEyNISnGyyZhVVVDhlKHLceK4kMFdA0DQSVbXqpGaSM1DG%20giiCESLIC/IzSZlWVlKBVCDHY+LZAKFdA0DQSVbXqpGaSM1DGgiiCESLIC/IzSZlWVlKBVCDHY+L%20ZAKFdA0DQSVbXqpGaSM1DGgiiCESLIC/IzSZlWVlKBVCDHY+LZAKFdA0DQSVbXqpGaSM1DGgiiCE%20SLIC/IzSZlWVlKBVCDHY+LZAKFdA0DQShW0JJzPJG8TSA1VRCjJHgoKyMXfNuQO2QC+UhdtxkwV0%20DQNBKFbQknM8kbxNIDVVEKMkeCgrIxd825A7ZAL5SF23GTBXQNA0EoVtCSczyRvE0gNVUQoyR4KC%20sjF3zbkDtkAvlIXbcZMFdA0DQSrLaWMi1JHLLySFWiQxqIy7GJSrPJuyx4qzb+ZgWAUHEBXQNBqv%20dtKte9q9zStR2JatqjZhnipANaeOSFlZYFYEGUg7ICPrqXQ3NtDUrq1jNtOYtEe2vF70tH6topmK%209U4zPCIzwzM9kR2uD/t3pd31fseXpO2rW6jdfbf0MFutJXK1plWTyu6IJN5zKx8SRvt4DHX3cea6%20m+v9XVr06s/NzxPGenEdkRXppjj8vVM5tLsee+Xbfa6sRtr11NKaxjFotMTHC2cTPOfFnER4sVjw%20vUdQuIaBoGgaBoGgaDzj237V7+t23S9dboGDrfa9zsrkPa8kJjuC4JkrpHEjtMrLFbYzciIA6+XI%20HcBuPcfW+9P86dZ3nR0etuVKPW3aTpdvz05GkvT1ZSQIqdxcY1oj9vmzPgMfMFfuXyn/AE90f8bu%20fynQaS3f+Xv86dUy9F1oqDrexEsSdxdNNpDPR42mk+2BVmVQ4hUoclMniuJDBu/uXyn/AE90f8bu%20fynQPuXyn/T3R/xu5/KdA+5fKf8AT3R/xu5/KdBpLd/5e/zp1TL0XWioOt7ESxJ3F002kM9HjaaT%207YFWZVDiFShyUyeK4kMG7+5fKf8AT3R/xu5/KdA+5fKf9PdH/G7n8p0D7l8p/wBPdH/G7n8p0Gkq%20X/l7/Onas3Rdaah63rhFE/cXRTWQT3uRoZPthVpmUoJlCDFRH4tkAobv7l8p/wBPdH/G7n8p0D7l%208p/090f8bufynQPuXyn/AE90f8bufynQaSpf+Xv86dqzdF1pqHreuEUT9xdFNZBPe5Ghk+2FWmZS%20gmUIMVEfi2QChu/uXyn/AE90f8bufynQPuXyn/T3R/xu5/KdA+5fKf8AT3R/xu5/KdBpKl/5e/zp%202rN0XWmoet64RRP3F0U1kE97kaGT7YVaZlKCZQgxUR+LZAKG7+5fKf8AT3R/xu5/KdA+5fKf9PdH%20/G7n8p0D7l8p/wBPdH/G7n8p0GkqX/l7/Onas3Rdaah63rhFE/cXRTWQT3uRoZPthVpmUoJlCDFR%20H4tkAobv7l8p/wBPdH/G7n8p0D7l8p/090f8bufynQPuXyn/AE90f8bufynQaToL/wAvDtvcpn6L%20rXibsozVWz3F1Ikj+3UwVqMesfOHkDsWAX9UyLtuMmDd/cvlP+nuj/jdz+U6B9y+U/6e6P8Ajdz+%20U6B9y+U/6e6P+N3P5ToNJ0F/5eHbe5TP0XWvE3ZRmqtnuLqRJH9upgrUY9Y+cPIHYsAv6pkXbcZM%20G7+5fKf9PdH/ABu5/KdA+5fKf9PdH/G7n8p0D7l8p/090f8AG7n8p0Gk6C/8vDtvcpn6LrXibsoz%20VWz3F1Ikj+3UwVqMesfOHkDsWAX9UyLtuMmDd/cvlP8Ap7o/43c/lOgfcvlP+nuj/jdz+U6B9y+U%20/wCnuj/jdz+U6DSe0L/y8vUzi10XWyy/cu0Kte7i7HKIz2NgxKqt1km8Kx4rA2/miCsAoOIDd/cv%20lP8Ap7o/43c/lOgfcvlP+nuj/jdz+U6B9y+U/wCnuj/jdz+U6DSe0L/y8vUzi10XWyy/cu0Kte7i%207HKIz2NgxKqt1km8Kx4rA2/miCsAoOIDd/cvlP8Ap7o/43c/lOg6Wo1pqsLXI44bbRqbEULmWNJC%20BmqSMkTOobwDFF3/AAH00FdA0DQNA0DQNA0DQeee9/c/uGv2XuBeqttTh9pdLH3ksQSF1uyytZZa%200zSpI6Q4UWBMWL7tvl4bEO/rTietFOBiJUVwp/ZkN9BTQNA0DQNBxnu7s/cE/uCLo+ovt1Xp+ss9%20tNbjjhmaSSKRIoK7LOkq8LFnaXEBzsoV18dw2vW+6fWezur7/wBP/tHa1KtitRVvFprcaukIbb/1%20P4ttsBux8AdBH467btu19o1b3bTJY7B5rcc8saCNDw25YlxQb7AKgA3JP4knx0HSaBoGgaBoPPPe%20/uf3DX7L3AvVW2pw+0ulj7yWIJC63ZZWsstaZpUkdIcKLAmLF923y8NiG39+9x29b2pB2HWTTVEk%20sVPXWKscU9uKpNIqyNWilSVJJfMAF43JG+Ks+I0GZ8f9j2HZez+tvX7kXYWLCO63oTEwlhMjcDsY%20NouQw48nH5c98fDQdBoGgaBoGg5Pve176r8g+16MFuNOl7GO8tulwgyPLBEJEczMx2Ub+Cqo/wAS%20foAz/eFTtZ+pmlo97L0CVYpp5bdeGvNISibpl6qOePiXzF1CBm8NnUAhgzPbljtrPt7q7HcwrW7e%20apBJ2NdPBY7LxKZkXcnwVyR9dBsdA0DQNA0HIzdt30fyxS6drcZ6K10dy4tFYQHFmtbqRiR5izM3%20ksMAqhQP25eGwYHyV7v77rbNTp+irW5bEsE3Ydna6+GvYtQUq5VWFeO1JFBzSFvIz5AYnyOxVdB2%20PTXK13p6Nyraa7Ws14poLrqFaaORAyysqrGAXByICL/oGgzNA0DQNA0H5IJDGwjIWQg4MwyAP7CQ%20Cu4/8dByvtoe5qvujteuvdrJ3XVxVq0yWp4a8TwW5Wl5aymtHCpURLHIFcF1DDdiGGg6vQNA0DQN%20A0DQNA0DQNBzfuX2J1ff3PU2LNmsJq/oezgrNEI71LMv6WzyRyNx7s4/TZG2ZhlsdB0mgaBoGgaB%20oOf9z+zKffywTtdt9bahimqPZovGkktS1jz1nMkcuyOY0OSYyKRujL47hOT2fUvz26Pd1KnZ+11S%20qvVdPbhr2YYHgRkd1jeBSu+QHmkk+nhh4roMn2f7N6D2j0/2no6yVqhmlsOESOMvJM5YluJY1OK7%20Ivh+6qj9mg3egaBoGgaDm/cvsTq+/uepsWbNYTV/Q9nBWaIR3qWZf0tnkjkbj3Zx+myNszDLY6CX%20Ze0ux7pridl2diskN+G70Fio8BnqNDGAWXOsI9nzdDHMk3gSc/MFjDbe2/b9LoOpj62o8kqLJNPN%20YmKmWWezK088r4KiZSSyM2yqFG+ygDYaDZ6BoGgaBoNF2/tOPsvcnT963ZW60vTcvBTh9NwSc64y%20cvJDJL5l8PLIv+HjoNZ2Hsvve5THsvcd6mtfspbtGOkOvkXiDK1VJhYoMrcDLnGCpKsRk8jIr6Dp%20+tpNSow1XszXHiXZ7dkq00rHxZ3wVE3J/YqhR9FAGw0GToGgaBoGg0Nj2lHN70p+6/uVtLFKpNQT%20r19N6V4bDK8meULT5F4o23WUfuD9hYMGsf2Lf7KpSn7fublfvKyWq8vYUXrcktO1Lma0pNWOJlCp%20Hs6Qo67eVgSxYOqoUalCjXo04hBUqRJBWhX91I41CIo3/YFG2gvoGgaBoGg+J43khkjSRoXdSqzJ%20iWQkbBlzDruPqMlI/wANBz/tb2bL0Esjt33ZdssnIRFe9GFDzOHklPpa1VpHYqPNIW2Hgu250HR6%20BoGgaBoGgaBoGgaBoGgaBoGgaBoGgaBoGgaBoOP+RZO8jPQL1XdWun9Z2cVG0asdOQvFOrEk+rr2%20dmTj8uO31O+/hsGlf3re9kd93HWe7O3btemr9anc0O0niggtRrzrUerOYEr1myldDE+KbZEP4DLQ%20ZPX/ADd7T7GhWtUa9q3LZs2aYp1TUtSiapGkzohr2JYrBKTRsorvIdiSQAkhQM2L5T6ibuZetTre%20yjhg7P7JP201dY6kd141eFWEkiTskrSKiOsZXcjchWViGjp/LEnt72NW7n3ZHY7GQWOzW/2VOGvX%20rRR0uwkrKTzzRKGK4iOFHkmfY7ByGOg6W18gLW93V/bLdD2jzWuRob0YptAYYFUy2Cgs+qWFC4TM%20w+LkKu5I3DTp83+2RXtSWet7WvYp2+vo2KArx2bKP2jlK5kiqS2DF+6co5cZAdlwzZFYM7pflTq+%2007Ov1zdR2dGaezboM9mKHjju0keWWsWhmm5G4oi4aLNPy5Z+XQae586+yek6Xr7vYWbco7AWrKi2%20KdW1HXgsvE7vDK9TLBhikUSvOVHihbLQbaL5a6Sx3UvV1ut7OXh7E9RJdMCQVvVmqLUSK1iSFnEy%20bhGRSPozYo8buGN0Pynd7Doq1yX2z2Mna22uSRdRUai83o6kwjNgM9tIiqmRI9i4kZ9yseHjoN33%20PvOvF7Prd/0+1o9qacPTiRXVWm7GWOCuZUODqqvMGkU7MAD9DoNN2Pyr1Pt6zZ6rsq3bdjP05oQ9%20v2sVHaIN2EghilVQUMoMrBcK6O3j5VbFtgvb982Zejb3JVhm6+Dpbr1PcHT30hMnErqkzLJBJMgk%20hVhKhSRkZd1I3IZA7fQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA%200DQNBoPdvtE+4vt+3b3upPW2BbhaiKhLTKNkZ/VV7X7m52A2Hj47+Gwa0fFvRS1u2HZXL3adn3SR%20RW+6syottFrPyVhX9PHBBAIJf1FEUSgv5myOg+e5+M4+76g9X23uLtrkExkF4ymiRZjl4v03h9J6%20dOMwKY3hjSRDkysGZiQ1Xtz2T2Vv3P7gv90nY0euPdL2PW9dJJRkqWWhrQww2jxGxZDpJXzCvIi/%20uEoWy2Bd+DeludVH11jve1dUi7Ou1gjrjK0PcOJbabmmUjycEholVvMQWK4gBs63xkYu7udvL7n7%20mxP2IhS/HIevQSx11xjiEkNOKeKMHdsIpEUszH8zbhqq3wb1lWvHXr+5O3hiiPXcaRp1SKB1EzWK%20QCrQC/pyvkfDzfm38dBsqXxVBU7Ot2Ce4u2eSr2Nrt0icddxmxdRo5stqatgUkcABvDf/RsH5Q+K%20KvXw1RR9xdvXu1lsRHsEakJpYLU3qJIZF9Lw4iYlkZYxIu5xYA7aD9f4pqt2ct8e4O1Uy9vH3vB/%20sBjWzFAtZFBao0hjECLHszlvDfLLdiH1X+Lq1NKzdf3/AGtK3Re16K7F6EyRVrrrLNUxkqSRSQ8s%20auplRpFI8H23Gg2ndez6s/tSv0fVBan2xqk/UBy7JHN18qT1xIxLOyl4gHJ3JBP1Og0nZ/GY9xG7%202F7t+16qx3DdfPc6+FuudIJOskE9dI3arMSEm8xJY5f6PLoPuz7Ctxdfe6SC5a7Gp7hvG73Fy8aq%20iCLKNpooUrwwMzTqmCbjZfFi24CuHdaBoGgaBoGgaBoGgaBoGgaBoGgaBoGgaBoGgaBoGgaBoGga%20BoGgaBoGgaBoGgaBoGgaBoGgaBoGgaBoGgaBoGgaBoGgaBoGgaBoGgaBoGgaBoGgaBoGgaBoGgaB%20oGgaBoGgaBoGgaBoGg8v9ue+/c973Dc6q17i6CW91t6eCz0dehaF+SpVYcky437LRkod03hYM2y/%20t30HVVfkr2XZwKdgYo5Oul7lZrFexWi9DBIIppTLPHGimN3UOhOa7gldtBjy/LHsSFYRNemitWLD%20U4etkpXU7Bp0h9QUFBoRb/1RDA8Wx3XbxZdw+5PlH2XF2f22xZtVrOFqXOx19+GAx0BlacWJIFgK%20w/R2z2B2H1IGg2vt33V0vuKCebq5JWFWQQ2YrNexTmjdo0lUNDajhlAaORWU47EHw0HMS/KdBvfN%20bqK8sC+3167sr3Y9pOk8QV+vkgUtHLKkVdoFWV8pEZwSCPLj5g6XpPdnSd1VtWOvknb0RxtV5qtm%20tZjJQSLvWnjin86MCnk835d9BzvSfMns3s69Jna3VvdjJYSl1b0rrW5I68uBlWBYOQpiwLOAUU5D%20LyPsG0p/JHs22vYNFedU62PmsSS1rMKPHyNCHrvLEi2VMiFFMBcE7AfUbhOX5P8AZcXVDs3tWODl%20mheuKN5raPWXKfkpiE2o1iUguzxhQCpJ8y7h9P786BZu5kh7Svdi6qvSkkp14pZJklu5+nUyRGbl%20az+mIoo4sx/8WagBhUvlT2jX6zrfu/cxP2t2SaqtaKnbrWJLdZc5ok66UTXI3AxxRxk2SY75ruHV%20dR23X9v1dTteul56F6FLFWbFlyjkUMpKuFZTsfEMAR+3Qcd7v9+d9Rqe47fQ1ak9f20iRW5LbSjO%203IsUzJGIxtjDXmVj4+d2x3TEkh9+7feffpXef2fFHfn624tbseuu07cItkyYvDRuu0EHIOORMgsq%20B8Q2P7QU/dfuPvpxf9r2uvs9TPQW5To2q08VhplmMUteayJysLZRvG3+zkxv9Q2JUh1fRdxW7np6%20fa1gyQ3IllWOQbOhI8yOP2Mjbq3+I0GdoGgaBoGgaBoGgaBoGgaBoGgaBoGgaBoGgaBoGgaBoGga%20BoPHO9+EPkHsu87Hsavyj23X1blmaxBQiFnjgjlkLrCmNxBjGDiNlH0+g1sNt6k2mnpVpbaad7Vr%20ETaenMzEc/8Apzz581e2jaZ+aWD/ANAfkr/6udz/AOVr/wCe1P8A1Tsv/C0v3f8Atvn0LfpT/b4s%20Kf4J+XvVpHF8g2pokYKnby2ryW0hkKGZUhDuNv0x5OfZiASR+zP6nm8T5jG5jQ0o0Ir0/SxHGO+f%20BMdXVxzFYnprFe+Z02ludlHllttaNT8xa3X14jHVHCsfNE9PTmOOcTa1ojkzf+gPyV/9XO5/8rX/%20AM9rQf1Tsv8AwtL93/tsz9C36U/2+J/0B+Sv/q53P/la/wDntP6p2X/haX7v/bPoW/Sn+3xe46xC%20yaDmPZ3tXtOmPYP216p2ctu7Nfgkr0nqGF7P+tUcli2SD4AbY/476Dk1+Erdjer2fuHm6mPq+x6a%20tVrUkhl9P2E8c4M8ssllZGiaJf3Y0DEDcbZKwZfV/FHY9fN0kta70tEdV2a9lYg6zoxQishaslTE%20rHbOMhjsykyEsN8NkAVg4Xf4+96Sdx3nYN7prxv3Mc1dLMHXSJdq1jDIlWCvYa48aJBLJzEiEM77%207kbjYM/489h3facvbvNdp2Y+2mitNFTpy1AsyQrDJIzTWrrytKI1d2ds2fJmY5eAc8fhG3Zip9b2%20XuJpug63rez6ajTgpxw2DT7IRqi2LDyTpI8AhTZkiTIqNxtkrB1XsL2V/lanYhZerWSwY8/s/Vx9%20TC3GpGckSSTl5WyO7Zhdtgqr4lg1fQfHfuDqu26aw/d1LHX9K3YLBWXr5I5nh7B1kKvMbjrmjL+8%20ItiPyj66DT1vhXtlsdhYs+4YZrN2ukR7AUZPXNYq2luU7NieW3MJmiljUFMFTABEEagaDpLftL3j%20Ytdd3A7+knuPr/VQCf7bIaL07ghMkHpfWCYNyVYpBJ6k+II22OwDDv8Axx3l3t+y7OTv4lmsx9Ya%20LrSIeKz1MjSxSzH1GEySvNIJI1SPykBWUjIgk+PPcR7eh3cfd017aG9N2XYu3XytBPO9EddEsUQu%20q0KJXHiC7ln8dwPLoN97D9tW/bHtLregtXI+wfrouBbcUJrB0UnDeNpZ9mA+pz8fwH00HNd37N7W%20/B7t9rwTmlW90Sevq9s0D2Yog0UEFmBxHLXZZN4s4yXG4bw3wYaDIoexfePX9ZS6mp3/AF46vrbE%20UtCGXrLDyRwRMWFfk+4DJVBCoxGQUebM+bQbBfbND213fe+6uvis2JO2ji5elrLmJLgYrywqSqRv%20OWQSs2KDbkdlGTaDZ+zekn6T2x1/WWGVrMMZayY9ynNKxllCb+OIdzjv+zQbnQNA0DQNA0DQNA0D%20QNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQNA0DQ%20NA0DQNA0DQNA0DQNA0DQNA0DQNA0DQf/2Q==" height="303" width="409" overflow="visible"> </image>
          </svg>
        </div>
      </div>
      <div class="fig"><span class="labelfig">FIGURA 4.&nbsp; </span><span class="textfig">Comportamiento de la fuerza de tracción a lo largo del recorrido de la herramienta.</span></div>
      <p>La
        comprobación cualitativa del modelo de elementos finitos, como se 
        expuso anteriormente, se basó en la comparación geométrica con el modelo
        analítico de <span class="tooltip"><a href="#B33">Swick &amp; Perumpral (1988)</a><span class="tooltip-content">SWICK, W.; PERUMPRAL, J.: “A model for predicting soil-tool interaction”, <i>Journal of Terramechanics</i>, 25(1): 43-56, 1988, ISSN: 0022-4898.</span></span>,
        el cual tiene en cuenta la velocidad de avance, cuya geometría se 
        caracteriza por una zona de falla que cuenta con una cuña central y dos 
        lados crecientes (<span class="tooltip"><a href="#f11">Fig. 5</a></span>) y un plano de ruptura recto en el fondo. </p>
      <div id="f11" class="fig">
        <div class="zoom">
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IymU6/vNq%20n81Bq8TmcRmIQTsVNZnw3PskR3BdBfqnIVXqnmlBMoMIeIHbM1ucOTJkN4tWI+CTtmg8S7SyJfbB%20eQ+oZLYqSj5KnlQXeA12RB2DPZaQQ/8A2JRo8BlslUGYUNni22gqiCCq848aoPT1JQaCgzWWyWZf%203PEYXG8mYbLbmRzUpW7gTKIrLEYSXpzcdLmXmgh/NQaWgUGKxAFgfkjJ4sEQcZsjK5eICIqIE5lR%20ZmClkt+aCtOdV+7kvnQbWgUCgUCgUCgUCgUHk/zPDlTsgANPmwOKweRywOMqndB2NIiEjjfK48xB%20C43TxoKybrGrf0zKjYmTIh7c5PDCZPJsCkRx6bkHebzkiOl2nWiCUbgXElQOiL0vTotcrJ3HF5/B%204rKR29hx2JIsojmJbRmcjTaFGZV2GZdsxDv3XslyVR6AlqUXWmbJgNm3HPZiDLbeWCxHxjEcri+2%20ID7mSZNHxcC7kgGyRR8W6CFEmyIXxdl88PJJ+xuSJkXitivkD7EJQt1v2VaLj43oajZXK6po+xY1%201oZRScfjmMdmgjIgxgxzKXblviSer2yqq/lryQCK90S1B6iBgYCYEhASIoki3RUXqioqUH2gUGWy%203xxrsya5lICO4PNufdlMWft3TXr1eBEVp/qS/wCKBUEF+f8AJmvMvFIhtbfCADJp6Fwh5FFRDJEc%20juEkd3qgjdsxX+RaCJ8M5aB/SsfEysq3L2oSemZ2K4KsSm5Ut45DouMuC25+WTnDko+A0HoVB0zZ%20bMKG/Mfv2YzZvO8UUi4tipFYU6qtk8KCk0NzPSNdayOcM0nZQznJDcFAWIy+vJmLZEFbtN2QuXXl%20f+yg0NAoMXv/AGYme0vLERi6zmPYpxWwqE+M60omn05iFvxoNpQKBQKBQKBQKAqr9LpQceZWG4Ld%20fFEt0/8AOg8v3/8AWH8/s7mOhjkHMfqZtBjnSUQeWfIcUxuN15K3EVETzWgpNIyTGW0nWvlvZIBh%20lIgo3LSC5Zg44uOQ25khpxV5LHbedPovJEIvHolBvcFKiyNk2nYjNDjwO1jGj8eLcRr3D6gvhxI5%20Flt5jQY7J65jJ3xc1kslBbPZc653IM4LtymZWYfs2bTjP5v5QOoagK/aFvCgkZnAbdhMlrevYud/%20UmLYc9+1ip/bjSgYxYNi3xnNCjZIL7rS8TauXmVr0gp/j3MsPfIu0Ob08WOyswijQ8RlEYRoWH/W%20kZl8FJp5QjC1zQTX716J1uG3+ONigIyxrDMV6KxGie4wJvER+4xwOqyioZIljZ9AmHkhCqXRag3H%20cH6L/ur/AKqoK4Kcr39Pj0Xz/wDWg+80vbr0S/gv+qgISL9fC/gtBT7DqOr7GyLeaxrUyyflOkKg%20835XbeDi62vq/dJFoRQlr2+4Ikd13M/rUBFuuGzqqriD6lUWcgAq6nilu8Dnh91BVZn5GljmMFjs%20vGlae17gpGWnTuHtDbYFeEVmYCmwavuEirchXgJdEVUoPSG5DDjaOtmhtKlxcH1CqL9FTov7KDkr%20jaXuSJZLr18EWgI4C2sSdeqf6bUGJ+UgKSxqkdoFdV/ZMYqKIoaiLBlIMuvhYWVuvkl6aNt3W7X5%20p16J1oCutpe5J0Wy/wBtAV1tL3JOnRf/AB+ygd1v+JPC/j5UDuN9PUnVL/soPvIb2ul7Xt+FAQhW%201lRb+FqD7dPr+FAoFBkNelOSvkrcLiiNQ42JhCX1IQkSSv8A2JKGgnadp8TW9cLXxJuRj0elEyyj%20SNgDEp43UY4XJFEEcUPxSgxWSPE4PDTvi/FRTxjkjsMYVXXykOSo2Tk8ZkhpSUnSKLzdIxJboKIv%202rQabYW2JW46xhW+LcbHDIzDzI2EUbigkZiyJ/C5JRUT8PwoM1r2+O5jf8VPDDg1E2HHPLi5rs0O%206GMhuEZPuReF21kG60oIJrcfu4qFqDuEhe+KcvmXozcuZsz70yFHkNi8hOz3kj40FAk48ha7Afgq%20UFbm9Gc1TI61G0uS6eQiDIdgYqcvuovGNFPui2ri96L7hSEFVs0C9rjQXmA+YGncNEymy4iRhocs%20OY5JpCmQRVFJCB51sUcjm2QKJi82PEul6DfQZ8GfFblwZDUuI6nJqQwYuNkn1ExVRX9lB30CgUHw%20zQAI1vYUVVt1XpQZbRGcvkdekZHYhcVzOvOyxxUsUtFhuLxjxlbJSsvZEScRf3yLpQRnfjSNAecl%20ahkZGsSXFUjjR0F/HGSqpKpwXfy0upLftK2v40g4Jt244P0bTgClRh+7MYLlKasiJcnIhWkt+aqg%209xPxqUaLAbRr2wxVlYXIMT2RWznZNFJsv4XA+9sv5SRFqjP5xf1T5M17GAZK1g48nMzAEkQO46Kw%204qGKXutnHlS/0oNpQKBQKAqIqWVLpQfOAdPSnTw6ftoHAOnpTp1Tp50H2yWtbp4/t8aBQKDI6U+x%20J2XdpDQ+GWajkf1JjHRRL/QV0oNdQZreCw0GAGwyo8V/K4MX5GGWU6LH5xMkBNg4SoiK4CqNBVaH%20nsdsk7NbvDNHMRJZiw8a8qIN2IrRPvFyVbISSJLjRpe126CJIxHx41pbeZgYMMb+vtMjDOJGZCaD%20mVD27XD90SFJK+nlxTrQWOehM/qunaszZY0d1Z74r0RWMWygtIQilv8AuHWTTwS40EnH3n/I2Xmr%20zRjBwWMY0qoggr8tUmSeviVmxjWX8VoM3pmwu4uXFckRGmdf3LJZB6FLBVHtzDeL27Zhx48JjDKu%20g5fqa2/eRVDQzvjTC+9cyeAff1rLOlzdk4wkbadK97vxCQozt/NSDl+NB0hmt/wKi1ncYOwQBsi5%20fDjxkInpTk9jzJSXxJVVgz8PspovNc2/XNkjK/hpzcrhbvsdQfaVUReLzJoLjZdfAhSguKDL7j+u%20zcjg8LjBkMRpMpJWWybSqAtRYao52eafvyHOAW/g50F9lMixjMbJyEgXDYiNk86LDZvOKIJdeDba%20EZLbyRKCBre5ars0b3GAysbJNWuvYcQiREWy8g+4ev1SguaDyzfJ2izNlDHYjGPZjfxW3cwjvtZU%20UUt+ZOnAqC00nFE4u87+QLSDU6DqmXwkSTM2DIpltkyatLkZoDwbQWG+2yy0PT0gN1UrIpERFZL2%20QNVQKBQKBQKBQKBQKDJfHLIBG2B1FVSfz2TM1X6i+rSW/Y2lBraDKPfGerzMuzl8wMjNTosgpUFc%20i+48zHcX7ezGuMcOFvSvbv53v1oKH5FlzMU2OsQMezGxO3csexLjjwIJ8x5VlI4iWBO7GJ1wD/8A%20kFb3ulBebIyM7bNVwgoKx4hv5iSHK3ohNowwKiP/AD5QGN+noWg+Yckm77sOWcXjGxLEfEMuLYR5%20cfeSVW/0R5rr086Cjx06VC+L8vsIIoZXYHZEqMt+qPT3vbQUUyt6AEmkv5D4UFlsWKjtM6bp0VER%20gZUd1RL8zjEwzaPXW9roroMtqq/x0FrpGySsvCkw8ojTWxYd5YeajMr6UdRENt0EVVVG32iF0Ppe%203ii0GjoKDYdE1jPvDLmxO1k2k/y+WiGUaa0trIoSGVBzp9FVR+qUFQsb5K11VWK+3t+LFVX28pQh%205MB9S2F8USM+v2p6xb/vUEL473CPPyeVHNTX4Gw5KUT0fWskjkZ2LDa/Ijgw06vA+Yt91w2ropF4%209KD0Og8R3z4p+OMNvLW9x8g9hdhPnIYxcBsZBS5getH0idSNEUeTtuI/vEQ9SoK6ds/yvu8XstC/%20itQQ+xkM7gh70shTmJ9sUIjIksPP23cEbqiGaiqUHp3xlivjrEYRYGkqx2RK80hVSlG8n3FLU7O9%203r15onFelk8KDY0CgUCgUCgUCgUCgUGL+H+BaMxIRwXXpUufIlEKov5zs10jQreBJ5p5UG0oFB0z%20IrUlngbbbhgqOM90EcEXQ6gfFfMS69OtBgPjnKz8vm9hzWebahZLFBHwk5pFQQA4gk+86iqqqjTp%20SO42q29CpfqlB1syZrXxHLyLCK1l9lJx5hFT1DJzUntxQLkv/CSQ23dfAR+iUFnn4EVMrpuqRhX2%20cV33phZT4x8Wzxa5+Vu8bfVfOglQDXI/JOUfVbtYKCzBZHl4PTS9y+SIn8QNsJ1+lBmW87ksTjnt%209bcAsJNzD7mcAm0U/wBKAkgRpLbqryQGRYGQqWVFAzt5UHqIGBgJgSEBIiiSLdFReqKipQfaDLb5%20HzWSYx2BxoyGWcrKAcrk45K2saEx+c8iOCqEJv8ABGRt/Eq+VBI3hNF/RTPc1gjim/XznqAiJD6k%20VtSsSH6bpw9X0oPKMftmRjtjK1TNTsboTnKLHyGdZKe9IfXgLAYJg1SW+pcVS7ykHW6CtlsGk1j4%20vPKq5ktlYeZiTQs9i5bvuMhLBCRQ/VZaeI9EX2jNmR8C52oPUmmm2mwaaBG220QQAURBEUSyIiJ4%20IlBTZzTNdzT4Spcbt5Fu3ZyUYyjyw4+HF9pROyfRVtQVyxN/wtvZyGtlgAn/AG8xRiz0RLIiA+2P%20Yd/6gAv1JaCRit/wMyYONmK5h8yS8UxmSH27pl/ySL8t9PxaIqDSUCgUCgUCgUCgUHn25/EwZGS/%20m9Ryb2p7W4vNyfDW0eUXX/vI3+G795evjyS9+vhQVWH3v5BxmU/Qs1Dj5LJ3uzEdMcfMea7nHuRn%20SRYMyw+riJtGifcKLUGlL5V1iGipsAS9cdESJwcpHNltOJcS4yBQ45p53FxelUaXG5nEZMCcxs6P%20NAbcijug6iX8L8FW1Bivl8tgh4E3cO0wsDJquN2BVbs8DUxQjhLRwbraOiqhDxX0lfpxoLLPMMOb%20JqWvMj/l4Zu5JwUVV4hBZ7LAmKdLE4+hIpeYdOtBzxPGd8g5/JFfs4iNGxLBKV0RxxPeylQU6WIX%20Y6detxWgooeSk474zz2ztKSZDOOy5sEhRAJVlOe3x6gpcuito0SXv40E/NYhqLh9S0tkRJl2TFCU%200iKYrExgpJdVeVkUDcabbLl4ofhQcYPyBCwGbzuB3LMQ4ruP45LHTH3GY6O42UZo2nbQr847gE0X%20T1JxL96glf8A6jh5jnZ13H5HYnuQCpQYxDHHmikinKkqxHRLD19d/Cgw8rKb4T87OZ7JnqIZp0IW%20L12I3+oZlQjqTIgwCqUZDddInFcFovRx5EiJ0UVX9GwspnADIYsc9s6IZN4aVIWdHhqhKTT2cnrz%209SKSqkZhOHkgH96B6vrejR8fMTM5eQuY2UwQCyLooLbAWsrMJi6jHa8eg+pf3iKg1FB0FPghMCEc%20hoZjgq43GUxR0gTxIQvyVE+tqDgeUxgLJQ5jArCRFmXcBOyhJyFXbr6Lp1TlQdL+w4RnHzcgs5k4%20eOEzmutuCaNo2PIkLiq2W3lQQZM7S9h1piZkChTMDkQAmimdtWT7llEV7nRDv5eKL+NBZhNxMYxg%20DJZbca7bQxlcFDHmi9seKry9SCvH62oJD8hiOw4/IcFlhoVN11wkEBFEupES2RESgiNZ7BvK0jOR%20iuK8qCygPNlzIr8UGy9VXitrfSg5s5fEve57M1h32aqkvg6BdlRvyRyy+i1lvyoKjAb1g80OZcZP%2028bCSliSZbxs+3OzYOo626244CtkDgr1VFTwVEWgsj2LXwhhNPJxBhukrbclX20aI0vcRPlxVei9%20L0FhQKBQKCBm8Dhs7jzx+XiNzYZqhK06l7GPUTBfuAxXqJCqKnlQZN1Nx1ADEm39u1ZBsodHMvGb%20RLKiovScFv7Hf760HONqHxHucAspDxkCazJRWnJcYPbvooLZQMmu082YL0VCsQ0HY/8AFmN7bDeO%20zmexQR+gBGykh0FREsgq3LWSFv8AZoMjh9a3Mt52JvMbbkYj+Njs/pU9tiEovY1wnHORqUXhzbMe%20BonW438CSggw8FuUL45XNjuuQjvZhxXwbGHAEnJGTkI0yar2lLivdAl429PhbwQLrN6JNB7WNTHa%20MwcV11HeDXsGvbxsW0jgGChFQk4v9gP9qg4sfGuAy27S8Zk5mUzMHCwWu7+oZKW4SyZzhOdODgCg%209plEIbIn29KCHjtfgQtQ2Tb9cx8KK+E52ZCaWI24j+PxVmvbCriEYpJBg1QhVLGfJPO4W+1b+7se%20BkYjT0ealTGBDK519EYjYVl5vm8clw1FPcMtqv5IrcS+5RtQVmqa5kswnewsyWEeQDYT99nCn6jO%20YvyJjFNElosZfJziiWW4IS+ug9QwWv4bA49MfiYoRYqEThCN1I3DW5uOGSqbhkvUjJVVfOgsKBQe%20fP6JkS3uRk3cfByECZOjZJvKPPPNToaxY4sow2LY+sOQqQpzQfUXIVoM7hviHN4xnMtOtNZF8sbk%20YEHIPTHFclrOdJ0FktK1x5JdEcMzNbp6URKkKk638aZ+LLSNKxmPgYydqrOEyZxXVIvesqadztds%20BcFUcVUIl5fWqIea+KduyWAwDEhiCR4OPJxTuFjSXY8SVGlRwjrJV3tErbiKBFx7arxLoXKkFzj/%20AIwbTeYszJ4DGSsNDwsGDGlm4T8hqXANTAkF4FUkTlYXFLn6UoPSnmWX2TZeAXWXRUHGzRCEhJLK%20JIvRUVPFKDyrSvgiLr2yR8y7MF32rUppmO0HABJXTSC6grdEOPEfcZ6W8l60EfD/AApPha5lcPyj%20tSXoTEGLlBkS3Dk+3e76FKZKzYC4XRxAuq3LraghbPq+74nDZR0sbBkBls7j56QcS3IebZajMCi9%20xtGlUx7sRolThYuSotk60HCH8Vf1FquumziBhNYwMnDk4PLk/FGQM4+LstShiyYmfBSFO2npO3pp%20g9a/QWv6T/QOAdr2HsO3zd4cez2rc+Xe428+fL8b9aC2oFAoFAoMrmtDYfyhZ7ASywOxEiC9NZBD%20Ykii34TIyqIPJ42K6GPkSUHRjN9eiZCPhNyiDhMvJPtQpQmrmOmmiKVo0gkHiaol+06gn9OXjQcv%20lbHbRN0qd/TMk2MtHAnQZbRSWQ3wIHWEREVeZAaq3/zEG/S9BGyAwpmS0jB49pxvHtJ+rI2QkBtx%20oLAgwJidlH82Q2iivqoJmO5z/knLyzFezhYMfHRlUlVO7KX3UkhTwTkIsCvn6aCmjZ5rDaHtW5vu%20oKz5E+dFXoHJtr/KQRb5L6ldbjtmKJ4kfROtB51tOX3CVqcXTMBGNlWWmGv0Rpsjys1kARxyRLsb%20f6cw8adORo8XK/p+2g2mgaf/AFLBi53OqsXEoKsQ9DjHfFwyjmrZjJDiHuHxdEuXJOHLyXoVB6si%20IiIiJZE6IiUCgUCgUCgUCgUCgUCgUCgUCgUCgUCgUEXKYrG5WA9j8lGbmQpA8Ho7woYEi/VFoMcm%20H2/TiU8Cbuxa4JJfAynUWdGbUkRfZynV/OEBuqNPlfyQ/KggaXlo+Q+QcvlWZknJY6VDEYySG+B4%20h5o1KZBkNqIusq9dp0EcTrxJE6ClwoZnyjitV0mVMDuzNt2o5OUxWHhh3JCjMLtw3yBL9trtC0Sk%20fn06r0oOOv8AxDtWex+NXcpaY2Nj0ZTHYyESE5GGOYG32zubbB3aG5jzct05p4UHrOC13CYGH7PE%20Q24bClzc4Jc3DXxN1wrm4a+ZGqqv1oKXXe5A3bZcUoqkeSkbLxvBR/zIkw918bq5GvZfrQW5bTro%2050cCuRY/WSFCSChortlFTS6J4KogpIi9bJegtKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQZvaNAw%20mwOjLNyVi8sA9sMxi3yiTEbvfgTgdHA/lcEk+lBmtdZwXx46/DyeITGw3lFtvau4csJAJYGxnyDT%20usGiWT1/lfwqPQaEejtuNuNi42SG2aIQGKoqKipdFRU8UWg5UGUjiq/K08kLoOChoQ/XlMlWXw8u%20K0GA+M4mczucw2wzsZMZjvnksvNN5WPYlIlOK3BkMkBq844kMuyiOdABLJx8w9qoFAoFAoFAoFAo%20FAoFAoFAoFAoFAoFAoFAoOLjbbjZNuChtmiiYEiKioqWVFRfFFoMmWnT8G65L02QMUDJXH8BJUix%207qr49m1ziFbwVtFD6trQTcHumPyEtcXOaPEZ4EVXMVLsJkgoikcdxPy5DacvvbVbedqCn+MslC2R%203OblERSiZeWkfHPECgpw4II0Bjy9XE3O4X0oNsyyyw0LLLYtNAnEGwRBEUTyRE6JQc6BQKBQKBQK%20BQKBQKBQKBQKBQKBQKBQKBQKBQKCvzuvYTPQDgZiG3NimipwcTqN0sqgSWICt+8KotBl4UPatKix%204UNkti1WI2DEdhviOUiMtCgAAovFuWAin8jlv41oNPgthw+ehJNxclJDN1FwbKDjZp4g62SIYGnm%20JIi0FjQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQKBQdLPs++/wBnt9/kPuuHHny4px7lut+F%20rX8qDuoFAoFAoFAoFAoFAoFAoFB//9k=" height="159" width="221" overflow="visible"> </image>
          </svg>
        </div>
      </div>
      <div class="fig"><span class="labelfig">FIGURA 5.&nbsp; </span><span class="textfig">Modelo analítico de Swick-Perumpral (<span class="tooltip"><a href="#B33">Swick &amp; Perumpral, 1988</a><span class="tooltip-content">SWICK, W.; PERUMPRAL, J.: “A model for predicting soil-tool interaction”, <i>Journal of Terramechanics</i>, 25(1): 43-56, 1988, ISSN: 0022-4898.</span></span>).</span></div>
      <p>La <span class="tooltip"><a href="#f12">Fig. 6 a</a></span> muestra la formación de la zona de falla del modelo en elementos 
        finitos a 0,6 m de recorrido de la herramienta a través del bloque de 
        suelo, observándose que la misma adquiere una forma similar al modelo 
        analítico de Swick-Perumpral, apreciándose claramente en el plano 
        superior del bloque, el perfil en forma de arco de la zona de falla del 
        suelo removido por la herramienta de labranza. </p>
      <p>Con relación a la comprobación cuantitativa, se obtuvo mediante la evaluación de la <span class="tooltip"><a href="#e8">expresión (4)</a><span class="tooltip-content">
        <math>
          <mi>D</mi>
          <mo>=</mo>
          <mi>R</mi>
          <mi>x</mi>
          <mo>=</mo>
          <msub>
            <mrow>
              <mi>F</mi>
            </mrow>
            <mrow>
              <mi>i</mi>
            </mrow>
          </msub>
          <mo>(</mo>
          <mi>A</mi>
          <mo>+</mo>
          <mi>B</mi>
          <mo>∙</mo>
          <mi>v</mi>
          <mo>+</mo>
          <mi>C</mi>
          <mo>∙</mo>
          <msup>
            <mrow>
              <mi>v</mi>
            </mrow>
            <mrow>
              <mn>2</mn>
            </mrow>
          </msup>
          <mo>)</mo>
          <mo>∙</mo>
          <mi>w</mi>
          <mo>∙</mo>
          <mi>d</mi>
        </math>
        </span></span>, un valor de la fuerza de tiro <i>D</i>=10,6 kN, coincidiendo notablemente con el valor obtenido en la simulación (<span class="tooltip"><a href="#f10">Fig.4</a></span>).</p>
      <div id="f12" class="fig">
        <div class="zoom">
          <svg xml:space="preserve" enable-background="new 0 0 500 165.927" viewBox="0 0 500 165.927" height="165.927px" width="500px" y="0px" x="0px"  version="1.1">
            <image transform="matrix(0.5549 0 0 0.5549 0 0)" 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gCAIAgCAI%20AgCAIAgCAIAgCAIAgPz+92af4l8m/wDUbjoR/WHtX3P0z+xt+BrL3xMyr6Yq/wCL+3dB+Guq/wDD%20Wl9eftY/q/AlxXqdrr5MXggCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgNTfU9/lXef20X%2084LovSv7+Ht+wiv/AAs4qX2tmtO5/p7/AMqNl/kO616r4Pvf7y5+pm0t06VQ2OtUZhAEAQBAEAQB%20AEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAcJe/3+bvIx2Ts61/qmL7d6XX/wDPteH3s1l742Wz%202k/zI49j/wDfQ/zwsvUv7G54HtmvUqKp+gC+HmyCAICw8n5zxjjMPqbveshdhSEEOlIPXQDWimtY%2085vyogvZMLfxMq9i5NsO/W34naL2K8j+96Tw4t7nAHBeXbM4OklQytXozVUy5qIlCAIAgCAIAgCA%20IAgCAIAgCAIAgCAIAgCA+OALSDkc0B+c3JgByTdgMheXFP8Aiu7V+iML+xD9EfsNTLiza30oU/xL%20flX8FN216fBcb68/bw/UT43xHYi+Ul8IAgPLpomvbG57Q9/ysJAJ8AvKnjkq0PS9PQgCAIAgCAIA%20gCAIAgCAIAgCAIAgCAID8/vdmn+JfJqf/wCxuMqn+sPavuXpn9jb8DWXviZlP0x0/wAX9urn+Guq%20f8Jab13+1j+r8CXF+I7YXyYvBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAam+p7/ACrv%20P7aKn+8F0XpX99D2/YRX/hZxUvtbNadz/T3/AJUbL/Id39V8H3v95c/UzaW6dKobHWqMwgCAIAgC%20AIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgOEvf2o93eR1x/bsx/8Ji+3+mP9vteH3s1t742%20Wj2ruIrf3F49JKCW/j4GjTStXSADNSeooOWFcS7Dy18SP0EJAFSaBfDDZlg5Hzvi3HoHybnfxxva%20KiEGr3dwAU9rGnc4IrXsy3b4vU0jzn6kb+7D7Li0Js4nED8fMAZMcw1vmatzjbSuM/cajI3SUl5N%20F9Zp29u903ad097LJcTTVc6SVxLq1/IFt4xjBacjUSua1bKzY4t32e9F1tV5LaTtFW+k46TTOrT5%20TVR3rsJqklVGK3GUdUbw4d767rb+jacktxcx0AN7B84P8ZvlC0ORhx1cdO4vY/qHWk1obf2Tk+x7%201CJNtu2T4AuaD5hXtBWsnFxdGdFjZdu9GsHUuixLIQBAEAQBAEAQBAEAQBAEAQBAEAQBAHVoaZ9K%204IwfnLyev/uTdq5/jLitDX+td1X6Iwv7EP0R+w1MuLNrfSgR/iW8VzspsK07OnVcb68/bw/UT43x%20HYi+Ul8p73cLGxgdPeTsghYKue8gAAIjC5cjBVk6I1XzX34260a6044Bd3Jzu3f0bcfujHUrlrCn%20LXkc/l76lpaXtf01NL7nyflu77i7cH7hcx3QNGSNkczQK18jQaN+C2NrDtWtZamilmz6uqUqyNic%20N98N/wBtjbbckaNxgbQfiGAMma3p5R8/iStfmuwtYuhs8b1A00pqq7TcvHOZ8d5FA2XbLtsjiKug%20cQJG9zmrV28m3N0i02dLj5UL0eqJe1OWAgCAIAgCAIAgCAIAgCAIAgCAIAgPz+92TX3L5NjX/qNx%2011f1hX3P01pgW/A1l74mZV9MP+cG3Y0/u13/AMpaT15+1j+r8CTG4na6+Tl8IAgCAIAgCAIAgCAI%20AgCAIAgCAIAgCAIAgCAIAgCAIDU31Pf5V3n9tF/OC6L0r++h7fsIr/ws4qX2tmtO5/p7/wAqNl/k%20O7O3uXwffP3l39bNpbp0qhsdaozCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCA4R%209/f83eSVz/EMyw/qWL7f6Y/2+14fezW3vjZhWz3Ettu9hcQv9KWK5ieyQfdLXgg/BZ+o5dODdfZF%20/YLEJTmow+J8PE3fvPMPcia2Aj3OeWGShfpeCNNKdF8Q2rcMS4n1yo12muysHMtSl8xyfGq/gYdc%207PfXN2JrifXJXzajU1OfVdNb3HHpozRf5SimqMnt9ia1pEjgccOoKxnucOTK88yvAuMdlawVYWN1%20HOmXwVC5ucXzKsrspFQ0RMwP3DTSPy0KgecpaoidWevL81aA10g4nwXv+RXRdp4S2l5fWNxHc2kz%20oJ24xyRuoRXBQ3PMnVElq7KDrF0aNj8X98N32/Tbb5F+Ohbh67DSUd7ia1VaUGu86PD9QyjpcXUu%203mba2Dm3G99ha+xvI/UdQeg8hklewNdQn4LFo6XGz7V5Viy+rwuBAEAQBAEAQBAEAQBAEAQBAEAQ%20AkAEnADqjB+cvJzXku7HP++3GOf9a5fojC/sQ/RH7DUy4syH2g5k/iHN4N3bCJz6E0GgmgHqADUe%204UXHev7vRhJ8fMvebPaMN5F3oXGjZvq5+oTe7uB0dnBb29xSlTV/xwOC+VWsO7OHVNqK7ijveXPE%20k4qL/DxNdbryLkm/3T37hcvkdqOjW7y4noBktjbniWUn1VfM469euXGnJuTPkexzvIlewBxAHqVz%20xyK1+V6ns224wdWWLe0ZMtFHQr4tmiaKufoJGkhpp9lVyOZ6ou3dIqhtrHplyXnbKmHbbJjq4Pea%20ULjU4Ln72ZduOsmzcWNht21oisge+1eJrZ5ilZix7Mxj3KCM5J1RsLOCovgZlsvvFvu2uZFucQvr%20VpoX5TUHWtafkXQ4O+Thpc8y+suvEUlWPE2hx3nPG9/jBsrtomw1W8h0SAnpR1K/BdPj5tq6qxZU%20u2JQdGX9WiEIAgCAIAgCAIAgCAIAgCAIAgPz/wDdk19y+TY1/wCo3HUH+sPYvufpn9jb8DWXviZl%20H0x0/wAX9ur/APjXVP8AhLS+vP2sf1fgSY3E7YXyYvhAEAQHx72MaXvcGtaKucTQAIDXXM/ePatp%20e6x2dg3HcCCDI0/sIiOrnDB3gCqN/PhBeXzvuMpdFuPVcaS+swbZfqI3HaSW8ohjvbcuxurRpje0%20df2RLyaDor+HYvX6URqf/sWp3umKpHtNu8Q9wuIcutRcbDuMV0SKugqGzN/lRnzBS3se5adJpo2a%20kmZEoT0IAgCAIAgCAIAgCAIAgCAIAgCAIAgNTfU9/lXef20X84LovSv7+Ht+wiv/AAs4qX2s1p3R%209PYI9qNlrh5HZ+Pcvg++fvLv62bS2qRRsZaozIL2+s7G3fc3czIIGCrnvIAw8VjKSjq3Q8bS1ZrP%20mPvE2K3lh441r5RqH42YHQKD7jfmJ8RRVoXpXZdNtadrKt3cLFpVk6lo4l79T1bZ8jtC5zTp/HQD%20AgY6nsz+wLZXLMYQq5I11vfbcpUo+6htzat82ndoGzbfdR3DHCtGuGoDvbmFUt3Yz+F1N3GVVVFc%20pD0IAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIDWfvT7m3XDrOzg20tduN66gYQHaYxgXePYFWy%20bskqQ+P3/Ubfa8BX23JpJdpyP7j7uN55HLuj9bru6aH3cjxpJkywHgAvqv8Axzl5N3CkrzTUJUj4%20f6mq3vEjYupR5qpi8T2slZI7Jjg6n8k1XW71jyvYdyEeLi/sKGFf+VehP8sk/czZVhvN9DHC+GWs%20IAd6RyIIrSq/Lt/Di24yXm4H27O2PHzofMp0ylHijKNqvLG9bDNJAzVIDrJw89Oq1V6Ny23SUj5f%20nbDajKSa8yfYVkm1QGpY3W4tPqAZAdoUP+Ze/MzmsjZbLfBU7i33FkIwfS/aRN87q4GlKYlXLO53%20ebNBl7XGOq0ZRte4N1PwdpowaRQg9Vv8TKlNauv1GjnbXImYA0ZeXJ0g82eOHet3bdfuK7PcYJaB%20QPbU+UYOy/Mr0UYs+tINTUBwbQAjAgfpU/ykzxnmKUwyRzQSOjmZiJG+VzT3EYr14/cSRlKLqtDY%20HF/ebkW2PZDuJG4WTRSjsJB368SVWnidhvcPfrtpKM/MvrNucZ9xeMcgYBaXIjuMA6CWjXauoGON%20FVuWZR4nUYm6Wb+kXSXY+JkyiNiEAQBAEAQBAEAQBAEAQBAEAIBBBxHYjB+cvJxTku7DL++3GGX9%20a5fojC/sQ/RH7DUy4kOzNadxj1ZUI+1cV/yLalLb6x5SR1Ho2UFnxUuaa9plDZnxAiE0ANXOHU0o%20vhMci4lTqdGfXMvbMa/XqhGXIqoN8v20BcHtAxaWgYjrVV7lpPjzNQ/TGFPWMEmTN5HugBHrVxwH%20QDooHiQfIy//AMvjrg6EjOQ34/p3fNg0jJveVjLDhyK2X6fdpdUdUXuw3UyECorSuiprXqa9io3b%20FDnLtjpRfbSV7y3HTUUFc86qjNUNfdjoVsjIXMFcXmodUClOlCoasoyu9L4kDIY45PVhe6GQULZG%20EtcCD2jFSwvTi6owjuK4MzXjfuhvu1fsryT94W2VJMHt7w7M/FbbE3y9b0l5o/TmQzu2pcNPA2dx%203n3Ht8jaIZ/RuTg62l8rwfzLqsXdLN6lHSXYRNUMjBByWxPAgCAIAgCAIAgCAIAgCAID8/vdh1fc%20vk2f/wDI3AxAH9Yexfc/TP7G34GsvfEy7+wG9RbT7rbNPKWhlwX2lXGg1TjQPitX62syniVXCL1M%208d0kd1L5AbAIDxcXENvA+ed7YoYml8kjiA1rRiSSUPUm3RGrN+9/tiiM0HHoTuUsR0uuXVZANPzY%20HS93+yFUvZPT8Kbr7vee5XTj0V10k+XP8DU2/e8e78guXW95dviJJLbWBj2QNFaAaqB5r4q09kv3%204pzmoR7mjSZO7zSahCi7aqpZ45N9mkkE1r6UZdVj2fep1cp4Y2BiQVHXt1OezPm3OPU+4q/3M6Ru%20iVrXHq51FqMn1TbtNq2vcZWNhypOqXSTWmx/hJhPaSfhJ8P2lufTNR/JpX4rR5Pqq/dVGbizsORC%20j65Gx+Pe7+97TFHb7tTdIWN80oo2cNGAy0sPevcTf5VpcWnadLYxJ0o37zY3GfcviHIYx+EvmRXI%20/pLWf9lI13YNdA7/AGarp7V+FxVi6md7EuW+K0MpUpXCAIAgCAIAgCAIAgCAIAgCAIAgNTfU9/lZ%20ef20X84LovSv7+37fsIb/wALOKl9rNcdb+yfuPx3jPs9tMnIL/05pJrllrAGl0jmRyUADWA4AUxK%20+Geo+mOdcS/MbjFx5zhWKqlx7io3n6g7yQuG0bY63tzTRcXQJea9Q1moU8Vzlm5O/LptqlOLelPA%201+TudmCfR/Ul3cDCN25FvvJH+rf37pGANpC86I6ivytwBUU42rPmuy63Xg/wNFduZec3G3Hph2Fm%20n3HbbHQbq41ujPnYDWpHUUVG/vMpeWzHy9pudt9F3pyTkpe0tN3zqzaH/hLfzk1D3AVI6rTf416b%20889Gd5hejYW6NxSLV/713+xljn26d9jcsdqbNA4gFp/WGRx7Vbxbfy3WLZ0b9PWrejVYs6U9l/eS%20Ll0I2fdqRcggj1asA24aPvNH6wGYXQ4+Sri7zkN52WeJLqWtt/V4m1lZNEEAQBAEAQBAEAQBAEAQ%20BAEAQBAEAQBAEAQBAcwe9HMrO75jci0ayeKBot/UOJLmikmmuGDgthh7PGc/myOZzt0uzk4W5UhH%206MweTatp3+2FvKTHMP6OWgBHip7mZlYF351h9Mua5SX07NTzbN2lB/Kv+eEuD5pmPbr7X7tbVdZu%20Fy1vzjAED9bwW1wP+WLLrHJt0f8A0cPrOte0W5pdE6fq/gXDb+NbpFaMjM8UhApqIcCK9F833bdr%20V/IlchDojJ8Dvds3eWLYVqVbjjzMo2Pa3QxtjNHwAFp6DUBUOPWq57JvJ+Jo83LU22v5i/FskIY4%20yCORoYfgRmO7xWvbTObyryo3x+n2lqvpgWOaKDT8zgcTUqfGtOUl3nNZ+Qoxar4FtZpYSGlwrgwu%207DnVddhY7jGrOSuy5ErWBoYCPJjVwzct/Zt00X08Cu2SEObq1DzRgUAp29VsLcOzmYkUs3l81GsB%20q0DpVWoQoZRiUkl06lGjQHfK89injBV7SeNpeJCbxzQBrJcc606diz6CT5VQzcSHmSNxikyD2Eg1%20XjtKh6rTRnHFvfDlGwtbBdvbuVmCAGTV1tHYwin5VVvbfGbqtGbrD3S5b0fmibo4j7vcO5IGxR3P%204O/dnZ3Hlf8A73y/lWrvYVyHKqOixdxt3e5mbNc1wBaQQciMVTL4QBAEAQBAEAQBAEAQAmgqgNLc%2079594tN5n27ZGQwW9s/033k41h7q46QC3BVeu5cT+Uqpc/wK2Xn2rDVunVdffouypy7zbY7yw3ea%206kDpLa9kdNHcUo1znnU4faTRfZPRfqeOfZ+VcpHItaOPauTX395hk4rglLin9TMeY4se17fmYQ4e%20IXUbpgxy8edmXCSaIsbIlZuRuR+KLqjKbS6ZPEJm5EUcOoK/Mm57fPEvysz4xfvR972rcoZVlXo8%20GtV2M9tzr0/hVOXYWLa1ry1+skcSBUClcQo0W5VS0JnAvYGj5n0A8UTpqxm3VCzKT7DItmtn6RRu%20hmTKdR39w6LV5E9T5rkzRlVlCA04eWlAO3vWquS1NLk3dUioll8lCBRtSSM1GkaLIu0qi13l+5tG%20taTnVoFTgP0Zq5aspmiy8xR8C3Dcr17qtALCQHA92VOxbW3tTkaeW7Si9Cp/el2xwLatkoKUOVPv%20DvWb2Sa9mpLHfJGYca94uVbO2OKcfvC2YaPjld5y3+K/p9i2uKsm3o31R7GT2vUPT8Sqbe4r7p8X%2039rIxMLK9cBW1nIadR+6xxoHfBbmFzqVTdYu7Wb2idH3mYKQ2YQBAEAQBAEAQBAEAQHGn1O8Nv8A%20Z+fSbwIv+mbu0Pima2jRK0ftGup1qfivq/oncYTsfJb80eRQyIutTUFvcXFtcRXNs8x3ED2ywyDN%20r2HU0/AhdfnYiv2ZW3/MiCMqOp3j7Q+5G2c54pb3kDwNxtmth3G2J87JWilfB2a+DbjhTxbztz4o%202kJdSqZyqRkUm8bXa7ttV3tl2NVrexPgmaMyx40leSjVUZnbm4SUlxRyJuOyu2jeL7bT5JNsmMLX%20DPSAHCvwcuXv5N6w3b6vL2cj6GsHGzrUbtyCk2imE7tYfRusYhxA69yqQy7sU0pPUpz9L4EnV29f%20EkO57g0aPxB8tceuPaeqrSVW661J4bHix4I+evdvDQ64dU9aULteBNAvOmK4ItR2mx2HuS4vbZ2o%20yl8ZONc8qV+xY9EZctStl7QoRrHUqLW5bKzvGZyyyr3lRXLfSzTTh0kj9n/Eu1/fHnY4fO0D9V2Y%201dKJby3bdYuhH/kKP009xlfGfcPnnGA2I3B3exrRlrek6x4T+d5wyBW5xt+a0lqV71mzdf5X3fhy%20Ns8X93uK73JHaTyHbtzfRv4W48up3XQ4VB+K6HHzrd5VizW3cOcdV5l3GcNc1wBaQQciMQrZUPqA%20IAgCAIAgCAIAgCAIAgCA1N9T3+Vl5/bRfzgui9K/v7ft+whv/CzipfazXGw/xdn/AOyeMSWs/wD1%20CH8cy9pXyj1WekD2eWq/PXrbqjuMuT4n070VYU8e4pr+m+1aMppN93YNYx1zJRjQ0NLug71y1y/O%204+pvXtOjj6fwrWkbUV3cikuNyv5gz1J5CGYMGo4KPjWutSWG249vWMI+4pXFz3VLi49pNfzr1aFr%20pXI9xR6qeIBK8kya1bqVLI/2be7p8VE3qXYQ8qKjbL6+2q/g3Hb5nWu4WztcE7Ti09ftGakhdcXV%20FTLwLd+24TXE3x7f/UrE5sVjzNnpyfKN1haPTPWsrG004fqgrb2M2L0lofPN09LXLVZ2fNHs5m4d%20p5xxDd4vV27dradlA6usNwPc/SVcjci+DOXnj3I8YtF5imhmYHxPbIw5OYQ4faFmQtHtAEAQBAEA%20QBAEAQBAEAQBAEAQBAEAQGoPeL3dtdqtJti2WbXuUlWXU7DhCzqARm45dy2mFguT6pLQ0e57h0/0%204Pzczmuaee5uHPdV7gdVSPmrj/2rpIQUUaFJJeJkO2QhkJJbpd94HE1zzWk3GMZqjNXfm+riX233%20EaGsl8lMHuI6Hv718w3XCcJ9UVodVte8ySXU9eWvZ9hVerYSY1aXgVpp6jACveFpuqSOiju1VRP6%20z2+8t2GQsjDHtdRzHmuBFPl7V5STK9zcU9G+4t15ucjdTBV8pAaHVyb1BVyxgSkzQZe5rgtdSgo5%200rRIA8j9TPHHNdJibcorvqc5dyHJt9pIxuJx1loo2o6foouhtWKUbKjZ6IDBqAGlwoATUjvWwt2n%20wMeJG6VujSdII81Tn4K5GNDJRKOS4cMATQmuBxBGYVhQ7eRYjbKKSfAEE0FcCOlVN0ssqBTveCSS%20KEVDjlXDy/YVIkSJERe5wAphSh7yf9M1lQzoRiZoqK1phSmFPBZdJl0Hz1qEaSdVQQ4moBH6UcKn%20vSZzxD3p5nxxwYbg7jt7cDbXBLnNH8RxPlVK/t1uetKM2WPuFy3RN1RvLhvvpw3kOmCeYbZfnAwX%20BAb8HmgWlv7bctqq1RvbGfbudzNixyMkY18bg9jhVrmmoIPUEKg1QuJ1Pq8PQgCAIAgCAIAgNfe6%20HuPa7BZSbbYyh27zNodOPotI+Y9K9i86JTfRH4vuNRuW6RsLpWs3yOcZr24uLk6P2gc40BoSPtW+%20sY8bFnsaRx9x9UuqT1KrkG0zbnsv4SchjWDVqFCA6mGf6FxL3yeHuMMiK88frXZ/qfRdgjKVl2rm%20vVzNOXFvLbzOhlaWvaaEFfpva9ytZtiN62/LJV8O5lHKxpWZuEuX1nuxvH2kpcBqjdhIz9IXN+rP%20S0c+31w0vR+s2+w73LBua625fEjJI3NkhbKw6o3ZEL8/3rUrVxwmumUWfabF2N2ypw80JL6ImAdI%20GMZUuyooOHEkysuFqCbfsL3te0uc5ks41ChoBWgoaUx7VSyMjlE5Hct1le0eiXIy2wsngVIoDge5%20ai7cRzGRkJeJcXuaxlAcgqyVTRZORTnqWjcL8ANDSKZ1FcK5K/j2G3Q5rMy6FuLH+s9wk1NPyuyH%208K6XDwqKrWpy+Rkub7iRja4YtLfmFM10FrGKbZIA1oAAwGSvQsVXiY8T4XKxHFT1oe0PgdQ1FQ4Z%20OGBHgQs3i6a0PVVGZcX91uTbFohM342yZh+HnxpX+P8AN+VRSwa8Db4W83rOj80exm3uL+6/F98L%20IXS/gr11B6E9BU9dJFR9qqzxZxVTqsPebN7T4X3mZtc1zQ5pBaciMQq5tkz6gCAIAgCAIAgCAsXN%20eGbLzDj8+ybvGZLaWj2Obg6ORoIa9p6EVVrDzLmNcVy26SRjKKlozhf3C9vN94Nvr9r3SMmM1daX%20gBEczK5tPb2hfbNj3q3nWk0/OuK7zXXbbiys9quQ8t45yB278dc0OjZS9hk/o5oQdRiPf+r3rmPX%20uTh2rUPma3ZypGnH29xe27Gldbo0lFV1Ozfbn3K49zvZW3+2SaLmPy31g8j1YJOrXjOnYaYr5xk4%20s7MqTRLVV0Zlirg5A5DI9+/7u6Z+uT8XIXvB1BxoKGvguOzq/NdT6lh0WPCmioWfCgccRXHwVRGb%20fM+yAnPEClD45L0S1KpgL4ow0YtpR3gsGWYqqVORUTmMQOMpAbTEnAV6flWEU29Ca5Todew8bXA4%20tA0+YkHTma/dNOmCX5anD35oyaFnpsDSBUDTq7QMlq5SqzTXblH3feeJJmhp1UDaY1/KkYtvQ1Nz%20MaIJZ7GRgbK1rmkeWo6dylipxenE8W8RjxdGZFxvne/7A5rba8NzYMaAyxmdqaAP1XfdW2xt6v29%20Hr4mbzrUlyNm8f8AeDje4lsV+Rtly7DRK4Fhd1o+jQV0+Jutq8vyvvIv8i32mdRSxyxtkjcHxvFW%20vaagg9QVsk6kx6XoCAIAgCAIAgCAIAgIby8trO1lu7qRsNvAwySyuNA1rRUkrxuh7GLbojQHvT7i%207XzLi1zx/YreSf1W/iIr6T9nE5sLqu0ZkmgOYWw9ObnC3uFv8taN+wlvYlbcnVVjy5nKy+/JmiLt%20sd6xjZLV4r6mMRrhXqPivlP/ACLscp9OVD+XSX4ne+id4VqcsefC58Pj2e0rxqqOtcA3uXyQ+iqt%20T67Aj7V4jKXE9UrmvDKleJJCKVAxBzAWMia0qcCpaKABRsuxVEfHmjCa0oM0R5N0TJNv2l92Q9zS%202IkUphTrVLl5Q8Tkc7cknSHD6cC/R8UsJy4GEurShAofFUXnTjzNDcz5Li/fqX7Ypeacfodn3i6t%204xUNty4vgH/hE6fBWLe+TiUr1zHufFFVMy2D3a9y9tnZ+8TDvNnX9oxzBBI0dS1zdVfirdr1Av5k%20UruNjyVYvpNvcW9x+P7+xrGvdZ3xA1WlxRr6n9WhIIW7sbhZu/DI1Vyy4vuMqBBFQajtVwhCAIAg%20CAIAgCAIAgCAIAgCAIDX/vNyjdtk43o2zSya7JjdNXzNbQk6O/BbTasF5Fyi5aml3nOlZilHTqfE%205Lvb+SW5Ima/1HPdqc8kk95JXT/4zt6S4mhjb0rWpV2Noa+ocS3EAH8pVe7NUoVr1zkZFBExrRqJ%20yoXdT1yWoyG5VNVOTbPrmOBZiQ4kGjvlp0K0GViK4mqaHsZUdTyA4NcQMS7GQHDwWqltEJPmWYZc%20o8GfXRu1B5Be4u/pak6u5Z2tqhHly+jMZZMm61ofQx1XagA3VVzDn9q2dvD4dlCCU29a6kgaA0Y0%20oPJp6Y5Eq/bx0tKafTgYVDnENDqiuVBgad6twtLhTmeEMkjWNLnHD8qtwh2EkYt8Chmnc6gqC0jH%20tOPVWIwLMIUKSWWuoMo2tQ09AVJFdpNGPaU7pKnU41YRXvoMCPtUiiSpELnUA1HLD4jNZmaXYRPd%205jUmmbaLNIzSIy8VofK4YAnqc8FlRmaREZDiC7oOmJPh3rKhnQjMpBFT5hkK5O6A/BZJGXSfHTHW%20cRUH5iKEDuToR7GNOBmXDfeHmnFpGx2d8bvbwaPs7o6x3Br3anD4Knkbdbu8VRl2zlztm+uE/UPw%203fnMtdxcdpvnUA9egic7KjX1rn3LQZO1XLeq1Rt7OdCXHRm1IpYpWNkieHscKtc01BBWsapxLx6X%20gCAIAgCAwr3Q51JxfaWttYnPvrvUyGQCrY6DFxUTnJzUIKsvuNfuOZ8m22viOZ77dn39xLPLO6e4%20lJdJK41LndarosTDVtVa/E4WXXKXVPVslht4WkGhbXzV8MVR3PN6IOjIrbc5UbL3GwyWgY/S8n5C%20cKL5Pk3nK65VPp2y+SCT5Iw/kXFodwk1GjZRSjgKEjvK6jYPVWXtrrZl5Xyeq9x1U7Ni/FRuqtOz%20R/6GNScFuC/Ux5bHmW0q6mX21X0Gz/yxdVuk7cZT7a0Xuoa656fsuVYzaj2U+8um18QMLSPVdokI%20BjIp4kBcLvvqeefd+ZOMYyXYvt7Tf4F1YNtwtNuMuNdV7OwyPbuPRRem1rTqb1d1PbRcxfy3KrZX%20v5zlVsyC22+OHzOxd16rXzut6Gmv5elPrJnzMYA1xFXdmZ7cFgot6mmyczTuLTe7q0UaKOdU1Y3G%20nTNXrGI5PQ5zM3BLmW+Nkr3Oc8nzZjuXU4mB08jmL+S5MlbFk52FfmbmO5b6xY+nMquRITRbGFr2%20mNB5Wka/MHNqA05E5V/gVuMOfM9IHysaM6k5AZlWFEkUGyilvHAVc6mNG0wxPTvU0behYjaVdCCS%207lFW0caCop1NevepFBEkbaPH454d5vmFKPr17l67UWZK1poZfxL3i5Zx4tijuvx1g0hxtrgl5DOx%20rzWiq3tvhcXZI2eLuF2z3rs/DsN3cQ97uIb/AOlBcS/u2/f/AFMxAYSf1HmlfsWmv4Fy3rSqOhx9%200t3KJ+VmwmPY9oewhzXCrXDEEKkbFNNVR9Q9CAIAgCAIAgNd+9zeI3PE5Nu323bdXV0HN26JpAmb%20KB/StPQMrU9qR3ieBJXYOk1w7+72jpg9Z/CjnMyx7O22sYrf02ABpLGFwH8Z5FcXKbGxJ5fVk3au%207LXzP7Dl9yuvIupQn0qOlOB83nd+QcK3Pb+U7BJ+HmrpuWEaWysf5tEjcKjDxU3pVwzcq7h3aqVK%20w56o6WFuccZN6yi9WdJe33ultHuHxiaXarltjvTIi25tn4vglLfnAPzNr1XufgXcW44XFqvczOzd%20i5JvVczmq5LhJKJJBNL6kgfKMnuDzVy+fZP92XifUVNfKVNNDyR+yaa41ofBQGbTouZ7I1adOOBb%20Ud3ah63Vont9OoCo0UIfU0CwlwLNpahzpLp5iiAMLKaqj5iDlXwRUgqviarc89f24vxL/YWTIm4x%20lrXNNMRQg4jvWuu3W+ZyGRfb5lRPOyNjnO+Udnd2KOEauhz+VkLVFou71xkaNYGo+UDspkarYWMZ%20z4I5rNz+nRcfsKD9o5mp73lrXEnDHOlPBdFj7Ytarl9Gc/dyJydGTBsobo1uxrR9R5e4LYLarb1a%201I1lzS4h7nEkYuAFWk0xPYpP/iwpwH+TPtL3x3mfJ+OkO2u8c2LN1lKdcLuuNfN9hWVvBuW35X7y%20/jbzdtPtRtvi/vnst9og3uE7bdEYyiroSetCKlvxVhda+NUOmxd8s3ElLyyNj2W4WN9CJrOeO4iP%203o3Bwx7aLM3EZKSqnVFQhkEAQBAEAQBAfHuaxpe4hrWiricAAEBoX3Z5wzkd43Z7C4dHslo/VPOx%20xDLqVn3O9jDj/KC1d29/kXPkw8y/mIM7Ohiwdfja938TXF8+MWskk8jpSySIxx6dQcS9oAz61opc%2020rUY24So/y1NH6Yh83K+ZWXXr7V3lN73+zV1x6O25TtNs8bPfxMlvoB5vwlxI0OeCR9wurTsyX2%20D0p6jVyCsXnScV5X2rs8TcZdlKTceFTTrXOaQ5pIcMQRmu3v2Y3YOElWLKsZOLquJe9tuReExvIb%20M0VNfveHevhHq30vPAn82GtmT/8AE+qemt+WXSzc/urn+b+JWSOGsj7oyXEpaHYXJeZrkfACKZ4i%20o7EPEmiWM5uplnhWixZNB8/uKmopXp2qIv10qVVjt77qRhcHCKuOHXPFYXLqgu85Xd91TXRB6czL%20tv2/ytOmkbcKDPKv5VqLt33nH375e44IomadIcaAsc3ChPb2kDAqm5NmnvZVOdD1LMxraVLWYEsr%20WpApVFA1F7Na1ZRTbuyLV6Qc+oo4N6jsKsW8aU3RI1V7eunStSB+8ClRCSR5gOlR0qrsdquvkU//%20AL6dG2ZTsPu9yTZ3NjY43do3OCfHy/xX46fCi3GHey7S8y6138TL/wC/Cn095tXivvBxTfCy3ml/%20d1+4hot5yAHPdgBG77y3drKjPimn3m0xNztXuDozOmua4VaQR2hWjYhAEAQBAEAQBAEAQBAEAQGr%20ffpgfsNu09XnLwK6T0y6XzlPU7orf6vuOcZLdkkh1NBZTEHqV9FnGMo0aqaONxpaF127a4pgz0na%20ZMmRHCp8TguY3DbnGrt8Of8AAp38hqtVp2lwlsrqzdqnYYzk14ILa+I7lzFx08r4laN2M+BFpxbQ%20Bw1Uaf1vHuUDinVszqeS1or5cTUGuQx6Lz5VXq/p3ip6EZqWNbU9STkRiaHJextCvM8mQDS9lA4d%20B0p1x7VPG1yFDxJOxrjpfRkmGNKnqVPG33cDKMG/YUj7tpPlq0Cvm6FTKHtJ1aKOSfS1xPnoCQDn%20j+lSqNSwoVIJJqjqGnIimKkUSSMSndIXUJzFdAHSvyrNKmn07yRKhHqFcflGZ7uv5VnQzoQ68zm4%2046uwdFlQzoRkk6u3A6u1ZJGVCEurTHE4OflQDGmKzSJKHgvJLi0drqdMetM8FkZUIi4DBp7+7vWV%20DOhC5wA00NcsccPh0WaRIkeDI4EY1c2oqfzhe0Pek8GWjdJPXVXr2LLpM1HUy7hnutzLiUzRtl6Z%20LVpGuynJfE4Dt6/YVRydvtXviWr5osWsicOehv8A4L9S/Ft50Wu/N/dF87APNXQvNfukai34rn8r%20Zpw1h5l9Zs7WbGXHQ3BaXtpeQNuLSZk8D8WyRuDmn4haeUXF0aoWoyUlVEyxMggCA1j7y2YuYrdp%20dSjSaHI0qc+iww5uOfbocr6lqopo0bY8ft5N1IxYx+dMR3nDvX0vcMeNy22tJHIXM2Stlwk43uEN%20y9skZlibQ+qzEEdG6R5l8T9Q5rT6aUbNlsTt5E9OK5FXAKNAAoB0ocKYdVx8+J9Cxoyt6PRHqSxj%20lrVtMC53So+KK40beGU4kI2y2YQ4Ag9Cs3ebJXmPtRILe3aKEAnt/wCxYdbK086nF0PRuLeIDS0V%20DcWu7e3BOls1t7P7eJb7zdo4mg1qThhiR9isWsZyZqMncklVstUt5c3Hy1a05F2Z78Fusba29Xoc%209k7m5N0PMMDGupSr8yV0WPhqK0Rp53HLVk4aNJD8a9nYttaxiOvYemtLjpbnStCQMBj1V+EPceD1%20RHiwguqHCSmWGWKsxt0VD3pqUkk1MAPMcQa4UVhRJowKJ8o+8aDp4nHBTKL4lhRKV0jnEEigB0lo%20IpT9bxUqRKlQgc7EhxB1ipIDsSDmfsWaRKkQPkeQSCNRp5hhUnLNZpEiiiOSXFwB8uqpAFDlh+VZ%200MoxPIncHVJphTDAjvC9oZdPYZhw33d5dxeRjbW7N1Yg1fZXB1M76HBw+1U8nb7dzlSRdx8u5Z4G%20+OF+/vEd+Mdtfu/de4PwDJcY3HueKgfErR5G13IcNUbuxuMJ0T0kbNililYJIntkjd8r2kOB8CFr%20WqF9NM9Lw9CAIAgMW59z2x4lt8Ukkbrm/u3enZ2bM3nq4k0Aa3qq+TkRtQcmTWrXVVt0SNA8g3u7%203e8mu9wlM93ITRwyjB+5GPujtotdtuLdyrvzL0aLkczve6KK+XD3mPW+3uddeo2VzHOprGouBIOG%20DsMl026ZsbNnpqcxjyd6Si9ftHLduubjaJIzVzXmjC8khrgM+tO5cZ6f3j/H3GF+UnSL1p2H1bbs%20dyx3aer6TV237hv3Hb99xYzS2VzpdDJIwloc04OaSMwv0tkYuHu+PVNSUlo1xRo07mPcVVRp8zI9%20i5Pbbg8287W211X9mwE6XjM0J69V8O9Tei72BWcKzhz7V/A7zat+hkeSdIz5djL6aYDIdVwp0jaJ%20GSaT5STXoBjREhK/CHFlVDYzTzAysLIqjAZnuCjldSWnE1GVuXUvLpEvdntscQAc0tYMQ39BKoXb%201TnL+X2Mq3yRxMONG54nt8VEouRocrM7yy3d+XOIjFHE6XFxw0jq0LZ4uI5tL6VOUztxVOlFMI5C%20Sah7jiNQ+ULqsPCUUkc/O7XjzJAG11gEOAIoexbq1ZpoiF9iPehxaXdG4E95V63b1oeNniSWJjQK%20eapx60/1K3C1qFFso5dzYwOdpBaMAScVajjVpXiWIY9fEpDv8NXNe0UwBach2qT/AAUyX/ClyK/Y%20/ca+2e7ZPtd661kpVzdVYjTIFhqK/BRPaotMvY6ybHwNm3+I/Uhtc+i35Axsb8A67gxYOlXDD8gW%20tvbTdgqrU3+PvDelyNDb2079s+7wNn228iuo3CoMbgTQ9ozWtlFrijdW7kZqsXVFesTMIAgCAIDS%20nujzzc77cL7YLJxs9qsSIr24rR08haH6G/xKOoe3JazM+fdfyrK/U+z6I8y8mGLbTk11z4GrWyG7%20IbA2jWeVrR8jadQOimlaWBZfVTqX1nA37l7Mu0XE87uBb21tA+YufPNCJHltQ0eq1uk/xVy+PlTy%20shSnyeh9M9P7e7FrzUqkdZxbfaS7Qywma2e1dA2FzXCrXM06cj2hdtGTTqnqU5anHfv57N2fB9xh%20v9puWv2zcXvMVi4/toSMaNH3mCufRfUfTXqpX2se+6XOT/N3eJVnhTac4JuK49xqJrnNcHNNHA1B%20HQrtcjGt3oOFxKUXyZUt3JQkpRdGi92e6RXMgZKAyU4NP3Sf4V8O9U+jp4TdyzWVnn3fw+w+o+n/%20AFTHJat5FI3OT4J/x+0rQdJc0ireo61XBnaJ0qnwPTWuDqZ6sg3E0Xh5KatqsnRF52zZHv0/iQ4N%20prbGPyA9/VVL2Sl8Jzmbu8pJwg6RMu27bD5KNa1lBpH3c6VP6Vqbt7icxkZHEvccbIW5sNAdLQKg%20mtDXs7QqbbkaTIyVQp7i8EbA3Vq0DAZ0FcVLG2aTIy+ZZLq8mmkIaaA1a7Gop/CtpiYXWcvmbhWp%20A1gAo3CnzP6YLqsbBUUaeU23r7icQilHOJ1UrXI9y2tux2Ig6+w+lkQoNILQDXuVyGLE8Un2nykQ%20oA0AjI9lMlJ/hRfFVR6pS7TI+Me4nJuOaI7K5Mtm3Oznq+On8XEaSe1Yz278rNvh7zes6N9Ue82/%20xb3o41uoZDuJ/dd4RiJSDET3SYKpcxrkOKOoxN6s3dG+mXebAjkjkY2SNwexwq1wNQQVAbg9IAgC%20AIAgCAIAgCAIDWHvoabNan+OcvArovTf95nJeqfht/qOc6AOr1OH2L6QaLkXCzf5dWOFKitf+xV7%20iKt1GVbXfMkYIboNkgrVzHjVTDoDkFze5YEJp6a04mnv22nWOjKi84pZyh0lq8xud5h1ae4dgXIX%20MW5Y4VlH6cTG3nyWklUsF3t97aN0zxOo0+WQYsA7FlYvqZsbd2M+DKWZxLiGmsZNQAKDxor8WmSx%20RRSzkEkmgBwA606KeMSeMKlG94oPL4knLqplEsKJTyyl1ACaNJNK9nzVHgpEvp9hLGJAZTiAcT1H%20f8vhgs6EnSROkGitCOmHUdtFlTUzpqeHSOJpUDrn06BZUPVEjJOQJLRjQrJIzRG54LTTIjB1ezr/%20AK1lQySIy/ynDIAimXxd1WSRnQjLmhxBBcAcQcSQR2r2hkkeCaVJxPSmZI7SsjKhEcKADQSdQHXv%20wWSMyIuoGgAluQ7T2HwWdDNIifUVJ+YYmuGPeslqZoifWuAxJoK+FVmjNHg1wIxAGFDiSVkn28TJ%20HnS4jSaGmBr34o2j2pknFvcbm3DpG3Gy7pJHbRAk2UxL4HD+yJ0g96qX8GzfVJx17f4k9m+06Lmd%20re3PJ7jk/DNr3y5iEVxeQtfKxpqNRAJouHzMdWbrgnWhuVwMkVU9CAwT3IbG90LJGh0bmEOB+KpQ%20r/nW6HJerJUs1NJWlIN5BYaASkUJoKAkL6zd81vXsOEuea1r2GXmRzaSxPIJoQR1XyHf8CF3qiyj%20iZM7E+qOjI5rO13KItbpgu2jB4FK1OOofpXzS5CVibi9UfUdh9Qxmkruq+tFnv8Aa7+yfouCJQSG%20xPYa1ByUkJxmqxO3ViN2NbTqijl1gYkkNwA7FmjWZFtx1LfeXUkbXOALWihxGas27aboabJvSgn2%20Fomurt8zmOGlzTn1I7Ctzi4Cmq8jncjcW3pwPLIY9Zw8x81K1XQ2MKMdUjU3L0pcWThulpLhlkB2%20LaWsZENan2taUwJyCv27K7Dygc0gPqQHMOksOatQtrSv0/geniSWMNcAasaa1IAdkp4xMlFlLLcH%20IYClfMPyBTRiTRtlHLK1o1OwbWgGeJyCmS95PGLZTvkrhStASHdju49qkUdSRIhc7FhpUU1EAAeb%20tPYVmkSJEJcD5Q7Cmpgqce2p/QskSJERcHEU8zTmKdTks0jOhC7tJqTie7xWaM0QONO/qOz7Vnx+%20nMlRCXmhLcSDjj1Gaz8TNLtPjpjQtPygVNegPUfFeqK4nqiZdw/3Z5xxWVn7vvXz2rSA/b7kmRjm%20HKhdXR8FSyMC1dT6lTvXJlqxkyt89Dpf2k93bXn9vdMdZOsNxsafiYCdTKHIsdmR8Fze4bc8dp16%20ovgbzHv/ADI1NhrWlgIAgNae71vHNebM18bXmsgGpurPStdmRcpxVe0q7nccMO40c3ck2ff7jfyL%20C5dDbRuqGRk1NTlQdq+n7PhYyw6T+LtfA4fFy7Stf1F1S7zKdu2beDE2Z1s4hoFXDEYZlxXyT1Tk%20RjLpT5vwJdljbuX2kysvIRJAWknScHD7pH8ZcTblRn0/Ck4aGM7nsEF7am0mBEbHktjLq+b9Feq6%20nafUmXgzUrM6fZ7jZ3YWrqpOKl380WRvt7tjXxu/aB4IcCHfK4Gua6XK/wCSc+/Bxkrf/iU4bVjR%20dV1aGRxbHM5ul5c4gAA507CT4Lg7mYm3LTU20s90Sroi6W2zxxkFwDdIpVuZHeVTnktmsuZiaKzR%20bxtwHlpShyx/hUNZSNXkZ6SrUpbu9a0FtQGgCjgaGoOSlt268OJosvcVHVstNzeOuHFrqCN2Gl3V%203ctzh7dKtTmcvcHOqXjU8CJz9b3AGh8jSKeYda9i6bGw+hU+s1Mp1dW+JI2oeXYajhgKUHYttbsJ%20pdhF1V4HpoadVSQaeXDqr8LZi2R3NyGAYaTQAED8verdq1UyhCpaLy8pqxDcddM/t8aK9bt0+wvW%20bRj257k5movA1jEx5Z5V+Cv2bNeHDtNrYsJmJ3u7XMr3BsjmtNQR8VtbePCPFJyN1ax4pcCg1urq%20rQ9oVgs0RNFe3ERBjeW06DBYO0no0RytRfEu+zc45Nst/Hf7VfzWd1HTzQvLQ4Do9o+b4qpe26zc%20jSa0Fq0rfw6G9+BfV5cwuba8zs/XiFB+8LRoD6DthyP+8uczPTco62nXx/Euxv1ep0PxTnXFOV2n%204nYdxhvGAD1GMcNbCej29Cuau2J23SaaZMnXgX5RHoQBAc+7wBLzXk8WryfiWtcRQhwMLM/tWutZ%20ErOTp2/Shy/r2sMexJfTUs0HFvSe5tuaSOyZXyuFdVT2UVX1ZnqbTr0prX6eJz3pzc+rKiuXP6fW%20YZyX8bYclsLbcWOt7d1xG/8AFfOygeC1wApUg06rTbL0SpJP8UfoPHxHHHc1T4TrjcN8tNo4zJvN%203MJ7e1thNJO3yiTyijhnTWSuynJRVWcVasynNQS1Zxl7ke4+48538bjeRi2t4WmOztAdQjY7Egnq%2040xK0969Kbr2cD6PtO3RxYOLdZS4mE3W3tmcXxUY+ldJwBX0T0369lZSs5fmgtFPmvHtNDvPpSNy%20s8fSX5eXsILTZr25cQ1mhrTQyOwbXxXabr6x2yxCkpq71L4Y+b304HKY+xZU5UceinOWhl23ccvX%20xBt04sIOkP8AvHx7V8C3jcce5flPHj0wfI+gY25XbNmNuUlOa/m+7+Jku28eZA1ullTiXS06Uxou%20evZfV+BrMjPlN6vUyG12tkJLX01gahr8tMK9eqoTvVNRfzO8qTIGO1x1Y2lMSOooftUajXiai/lq%20lKlDc7gyOrWHEYYZg549inhabNDl7go+ws8075jj5W41+1bzF21yepzWVmu4/wCJ8a3MN+XLOmPY%20F0mNiqKNc5V1fEqGgA6ewY9vxW0t2eZA+0VwJqCMKnp8Fft20mgRveAK/wCvP9KtwjQySKSad33c%20stQOfgpowrxLEIlFJdPx0u/2jlRTK1HsLCgQ/jJWk1wBORzA6YLLoRn8pGRcX9zOUccmMm33jnQn%205rWWr4TTrTA/lVa7gwnpShfxcy7Y0i9Ow3NxL6huPbgYrXfYjtly+jTcDzW5ce11PJ8StTe22ceH%20mOixd0t3NH5ZG1rO9s723Zc2c7Li3fiyWJwew+BGC17VHRmzJl4AgCAIAgCAIAgNU/UA/TsVoMau%20koAOuBXT+l41vvwOX9Sqqh4nO7pP2zWnAD8q+ipaHPpaFfaOxqBiCAKd+ZVeaK1xF5sZnNaA3E9R%20/CVQv20+JQvQqXy23CeJmmN9YyDpHZXqtTcsRb1Wpr52k3qVjd3jc1rZ4tQp5sAcfAqjd2yEnUid%20hrgyi3Patnug6SCVsNw4lxIrpJPQjp8FSht9yD01XeT2Mi5DRqqMW3baLmEFwAljjpWaP5Ku6dtV%20N8ucOK4m3xsmMtODfIscrNTTnX8qli0bGLKR5xqCMMv4PgpUTIhc8VIOFfvdFmkSJERcajHHqT+h%20ZJGSRFJJUEuwaTjXs7cPyLNIkUew8awAXaQSMaAn5shn3LKh7Q8F5bWpp0xp0x6duS9oZJVPOrzG%20hzcDQ9O5e0MqHgvyJIJJqSOgyWSR6keCfmdgXVpQZiv6V6jNI8E0DaEkDAl36V6kekZw8pOl2Rrl%20his0Z954cCBiK9adq9Rkjw5te01wqOi9TPUz02DMhtamo+COR45nuQQQtyBcaZ9px+xYJN+BjHqk%20Wq+mLo3A0qQcOwK5bikXbMKM7r9jXavazj+eFrGMQB90di+e7qv/AGJeJuoLQzta8yCA1z7s3AhF%20uQA92hx9PqaV6KDHtt5tt9hxfq+flhFOlWaPguw6/wDUc0BzTUgY5noV9blbfy/E5S5apCiM81Nk%20ha9uLXCoXzXfLVLjOeao6FJ6j4Zdbc8ivme7Y1X1I2m35LtvQukd/C9ml4Ekbvunp2LnXbfI7XE3%20eVtqUWR3G3bVeQemW+lIMGytwd249y9U5xdeJ0Fj1B1v+oupcDHd34vdxxuewtu4wAQG4GvYArlj%20KWn8ov3LN3SP1mJ3ERilLSC11SCCKUIXb7bkxlGhx+djOEq8jzG6jBq+atD1XS2YppUNfJansg6X%20Owo2lce1bK3Guh4eXyRNLtIo1wAGvEjwKtRiz1JlNLOKloJGFS6uSljEmjDmUktxhrJ8w6j9VTxj%20QmjDkU75dYLY60wGoeU0ONW1WaRKo04kJkri11aY+U4taMh3rKhn0kbnANbhiKmrM216gfnWSiZp%20akReBgKYnVQgilcj8OqySMkjw97iHanGhoMqU61HcskZJEclaur5nDuxoe/uWSRnEicAK0Ne9Zqu%20naZoicAcO2gCyTM0zwYnO6YO/wBMV6pGXVQmis9RocGtGJOQCw+aRyu0Ke7njhaRHlQip6kdnipL%20cXL3ktuDk9Tdf0gP1blyM0p5GfzgtP6jVFA6TDVInTS5YuBAEBhHuPA581hJrAbG2QmPMk4UIHct%20ZlySv2+3U1e9zSxJrtNFWkbxy0kNqWOo5hwzPf2L6dNJYOnA+a3ZJ4/sM2s5XR3RIy6r4h6krKL1%205kGw3nC5VEXIeJneLeWWzmMF6aP15tdpwoWhcli53y5edVR9v9P7nauJQurXtMAvrLedulLbyISM%20ANJIgcSPt0/FbuDt3F5X7zrJ4FVW35iq2ye2mZUObiKFuRdX9aqgvQkjT5MJRdOZcCdIoBl0Vbia%20m9ea7ylnuwwOAGpw6VoK+KlhbrxNRkZb5std1fTSOLG1ABqHNPZ0othjYnUc7l7k1w1KMxl7S90e%20qR5q5lcF0uJt6i1zoaS5kOT4k2jS4n5iSPL0aO0Ld2cZJLQrVr3H1rXEOIqW1qT0Feiv27KVO08b%20qz35W0dg7A6gRgFbjaMXqU0t6GNLGOqK55gGmdOqtQs1dSSNt8S13F2yoJJc8gjHKrc6norkYULl%20u0yx3l9RmpzqHTR2ojzaSSrkLXJezuNlatamI7tdl0tGnP4gDuW4x7VEbvGt6FsVhFwIqngQ9CcP%20YAgKva943TabyO92y6ks7uE6oponFrge1Q38W3ejSaqep0Or/pr96OU8x3G84/v5ZcyWdt+IhvgK%20SOAe1hEmNCfMuJ3rao41JRejfAs2puR0AtAShAc87vG5nuHySuFblhGIBI9JmPeFzWRGX+XVaI5n%20/kCn+JZVOBWQu9O7if2Hp34KL1HZUrTqfNdnn05EWScp45tu6WL/AF4PUbI3TI4nLsoehquDwsud%20uWjofpH0nuU5W+luqRq/me9c6bsjdkub6W72m2YILdjCAWxx0DY5KDz0DQu8x90d5JN0f2nXWtpx%2043Pmwjx1p2PtRrLHPrU17lbL3eVe3iNly10vy0NOwFRXHVaGGRbn0aGcbbY28kbHxw+YtBrmaLS3%20rjTo2cvkX5V1ZkNttrWA5vdSpoMmjMLXzumpvZPPgVodFGHGEOZWtakEaSKKGjfE1N3Lr2OhS3F7%20DCPMan/TqpoW2+BpsjP6dW+BarjcppRSKod0d0otjj7fKb7jnsnc6vRlMWlziXVe4DE/FdDi7Z0m%20mnflLVs9tiJrUnSRjXpit1axqLgV5T8CYCgGltW0zV2Fojb7QCKeOJrnQq5GFAzy57Wjo+rMagjS%20T2d4VqEEqnqRSTy4Ht6Ht7QpbcSeEShmc0VLgSAa/Z1wU8OCLEUUch+6aHA6saHVmpUTxIJCKVwI%20x+2mFVKiWJA4Gg6UGFMca1zWaJUeSZXDSQTXHHsRqJ7RIvHHuWcu4zMLnZdxfaBuLoXHXC4Vrpe0%209PCir3ce3c0kq/aXMfcJ23ROp1d7R81v+Z8HtN9v4GW93LJNDKyKoYTDIY9TQ4k0dprmuXzcdWbr%20gnWh09qXVFPtMyVUkCAIAgCAIAgNP/UYabNttHEEz0Le7S5dZ6S/vS/T95zvqD4Y+JzwZz6+Lq9i%20+idOhzyh5S4272/NUAmlKgn8yrSRVmi5wT0ArTHHTmq84lScCvgnpqI8oqNRGGB7u5VLlupVnAl/%20EvOkVPmwHTDxPVR/KSMPlohfdyYkvINcaHCngpY2V2EitrsI2blcRvDmyHW01B6CmSyeNBqlDN2I%20tcCiuo4LqrqNjl+8WjAk9qp3dqg/h0LFqTh3ost5YSQ4tGsEeXu/7OioXMW5b4rTtNhavKRbJQ8A%20B1CRj3D4qOLRbjQp5NVcRQCgHae+qkRLGhE84kYZ593Sne1Z0M0iJ0gINSMMc60OWSyoZpHj1A0u%20NKaDQU6jw7l7QypU8+qQBpcCXZUwFVkonvSeS4UbTAHCvdn+dKHtDy5ziezEkju64r2h6kfDm7Ou%20nE16LJHp4L61HTIVxIShlQ+hhqQRUgVwKVR42SenpridIA1O788ljUx6qnme9Aa7RRrjn249V7G3%20qj2FrXUt00pwAxqcR2qzGNC3GJQ3BBjdXGtTVTR+osQ4nefsaa+1nH/Pr/usYqenlGC+d7r+4l4m%201gtDO1rjIIDUfvlPJDJZSMwOggv6AGox8Vf2mxGeVGutDifU8FK9BP8AKaXgmBugcATgS3Ir6dOH%20lOdnHymwtqe6Tb4qua4gU1NquD37HTq0c3fVJs+zxY9q+f5mNUxjJplNoe11W5g1+xcxkbdLq8ps%20LWWkfWmUHUHHx8VHDbm+JI81xej1Jmun0lushppX4LYW9mg+JE9zu0pUiu9ttb+IRXkQkaKlr2+V%20wNMDUUr8VNDZrkH1W5ULtjfZpdNxdUTF7zjF/avdJbj8RETTSPnp2npgumw8xw0ny58j1bham6fD%204lvc2SJz9VGPA0ljhjQ50qulx5ppULCaZQ3DyAMMAKlp7MlsIRLNtFvmlDakmlO3HPqrEUWYxqUx%20lo/UW0JbRrMz26T0WaRL01RF6lHBxNSMNPUasQ0DJZpGXSRmQVIBArizoe6lOlV70maieXOqagVN%20QCK0xpUlZUPUj4ZK1OBqTpPa7+AJQ96SNzqtOZaMPE96zoZJHkkkagKAYHHoei94GR5oveB6fWxG%20laUFK492C8rqeORMwQR6zKRlg05jtUerMG5PgUV5e1JoSGgfIOzIKxC0WLVos91IQ0moMgqQKk1c%20fuq3BF63H3G/vo8NL3kTB8umM451qOq5/wBSPSBuMVaVOm1yhcCAIDXXu/ugsbW1LcJnNkMdcjSn%20lJzxVZYvzsu0vH7jl/VNx/JjbTo5v6uZoji+9/jeSPil/pmO8xy/KV9W3DDVvFaXBo5DOxuixVcK%20GwG0FwNWX6fgvgnqGFIv6fTQ0+1tK4ZFZvc1rCDQr51cWp9K26bVGVV/tu27ixnrNLXtoS5obj49%20F5avzt8DucTd5W1oY9e+3+zTigl9B7SdEjBShIzoFfhus48qlu5vdqek17THrjjG67e8wk/iYB8k%20rc696uLKhc1Wj7CpkQtXFWDWvIsd9ayMOlzi1xOqjm0q0dMRkrdq5zSOYzsOSroWR0TWzvYPlJPq%20DGuPYuu26cJJdxxGXCVuevHkSBo0glhY6mmhPRdJZh2cCo2+B7awNZnQilAa1p2rYW7fcYuWp5nu%20WtLnaterHy4VA60NFbt2u6gjBst11fuFfMNPY3qRjjVXLdlFu3YLTc7lEaY1a41cBgcsj8Vajba0%205l23jss17vLWhziQ9xzOVO7DDHqrdrGbpTRGwtYpjt/u8kpcxpJBArWlKhbK1YUTZ2cZLUtZJJqT%20VWaULlAh6E8DwJzPQASaDE9iI8KuHbpfJJdNdBav/rXCladnaoJXlSkdZEUrvFR1keL11mZtNo0i%20FuDXP+Z3eeiktxkl5tWzK2pU83E3l9HbQfcDdScxtpI/4zFzXqivRDsqWrHE7AXGFkIDSu928cW+%2076HsDnvvWvjkdnp9JldJ8cFzdu38zcZV4Knv/wBDkvXd1SsQXNL7+Ra520oR0INfBX/UGH/Tkl2H%20y6xLpmjIvU9Xa3UYHktHlyrXDA9uK+RdNLnE+6+lsxJrvMJ3PbiKgNB0nQ4OoS7w8MlubN0+uY98%20xe+4PtN2+RxhLHkBp9M5djgOo71s7e4zilqXVkLnRmPXft1esLTbS62EVq8EZK9DdIviiVXYPmVt%20htm+7WxrruAviFNemupte4Z/BQ3btq78L1NDuG3qbbtOplFleRXdu70X1LKnTUCn6wPVay5bcXqc%20XnWJQqpKjKe+ke2MgHS0jB1RWvx7FJBHKZ05RTLEXPkIfK7Vjj2BdHgYUWuqmhyGVflJvUkZE8im%20IHZhiPguks4qSoUpTVSQMY3AD5TgMsT4rYwsdpG22ei74dKH86tRso8oedeAFagdT/qViNqnie0P%20Lpjpa0nBtdOXXNS9KXgZKBTSXDaGh8KEKXoZLGBTSSVqa1piXeCl6O0liillfWlMMDp6YntqpEia%20KIHuAxHymlMPu96zRJEjLTUnAk0B6inwWSZIme2WUj60bUg5Y418OxeO4kYu6kVDorOzafxA1PAo%20Iu0nHHsWCcpcCJSnN6cCwbleF4cB5W0+UK9Yt6mzsWqHVP0w4+0VgSKE3N4T/wAdy5Tef3MvZ9h1%20tj4EbXWrJQgCAIAgCAIDTH1Kv0bLtpqAPXOA+b5XfkXYej1W9L9Jod8VYx8Tmx9xScdMcAvpKjoa%20ZQ8peLOcFox/klU7kShdhqXKGTCoNDTE0yP8CryRUlEq453V7wKHsqonEhlAl/EGgz8Oiw6DDoI3%20PJ/SskjJIie8kGjTjWvTDuWSRmkQucThqoAfmGHxP5lmkSJET5SSa46scDlXosukzUSmnt4Zm+Ya%20XaaAtGBPgqd7boT4aMmjccS2XdjNGCWDWypOGJAAzotXdwrlvvRct3Uy2ygnzDGg1AdpOeCgiy1E%20pnOAPb1NBl/CpUSpEZJqdTqECjsKGqyoZnjW7sHTp2L2hlQ+F3U4gL2h7Qag7BuWYHcUoKHzuTvB%20LHG55HY0VNM/isG0jCUqEz2xRNGt4xNQAMXVWKk2Rpt8C3zz1dQEkVqcaKxCBahAp5JuhxNPzKVQ%20RKolO91APyjqs4olSKec0Y6gp2jxwWS7aksOJ3t7Gtp7Wcf8un+6xnOtfKMV873Zf+xPxNnB6Gdr%20XGQQGmfqBkDTYDVm01Z2jHoum9NWFO4218JxvqNf1o/pNEx3Vbhw7CvojhoaiVvymb8Z3p0ZbBM7%209kfLjiQeh8Fz+4Yamnoc/nY1dVxMtoyRtWkOaeoyXzrNwemTXA0/DiQPgNVob2HVnp5EfcoY4/cK%20kjI+uRCt27VPEEzWDsothasV5HjZ9IattZ2xT4hFm3F+0XFRcwNJroM4NHBoyIctlb2SUV5Za8i5%20Z+ZH4X7DHb/j8chc+ylbNFStHnS8Y5AfeWX+Net6SVfA2lnNa0kqP6jFbqIxPeNBqwnUBgaju7VY%20g+03MJVS7y2v1DWT58fMW4Ek4UI7gp0WVy5EDnuoACATgHDIAd/apEqkqRGZCThhhpB60WSWpkon%20n1KuFaYYBvRe0qe9J5Dgeq9PaCowxzyTUUPoxyx8O1eBk9vbOkxA1DGvZXpisJTS0I53EiO5mZE0%20t1BzgQK1qMBia9y9hGuplCDbLfLdOOoPyJ8zuuPX+BWVb7C1G32FHLMXCv63fU6RhQ/nU8Ia+H2k%208Y0KSR1TpBrjUUOFBmK9adVnGvMnSOgvo7JN9yInPSzpT7w6LnfUnCBtsXgdOrlC0EAQGlvqUeWb%20VYvZKY5WtlLKZk+XIFb/ANOYvzMmLaqonOb6qytprSpzNxDe7hvImunm/aSkBslcNTTUADvX1ncc%20SLsUS0KO5YkfkeVaI6BDnvgjlr5i0EuacK9V+e/Uu31conzeEvlXarky97dcB8LSOuHhRfH8m24y%20aZ9B2/IUoJouAkwoqtDfxyFSh8dJh3L1IiuZBSS3bmCoNO5TQtVNVezZR5lpvLnbruN0NzF6mqvm%20pjTuK2NnFu18hhH1VK3pN1X04GN7rxWG4d6u3TB0oaSyCQ6XGg+UUrVbbBy52ZrrjRPmQ3c3GydK%200mYx6U8RdDPG6ORhoQ/P4FfQcDNU9a69hprq83Gp6e46AQS54GIdkKZYrobLT8CNcSxbhcta173O%20BLq0DjpJHdRba1GhsrNur0MX3TevTJYNQc4VefumnVbKxjKetdDc4+LXUxu63i4mqNR8clsrePGJ%20tbeMkUT5pH4E4dgwU1CdQSPC95mQTwPQj5gID0yNzzQdMSei8boYuVC4Wc0W3TMncyOeVlHsY7EV%20I6iir3Iu4qKqRWuRd1U1SPG8b3fbrMH3DqRswigbgxgP6rclnYx4WVSK/EksY8bSpEoFMyc319Hb%20gPcDdQTidtIH/GYuX9T/AAR8SexxZ2AuMLAQGneeXkEN3euB0ytlxyxIYCM8lFsOI72Zcqk1VfYj%20556tn8y7GPGj1+nExLZ9z/H2rhI4GZpPdqH+rJb71RtTUeuPChxeVY+XLTgZJsl4wM9F2Bbm04/F%20fA9yxZW5uqodt6d3JJJJ6xK3cdpjuWetBQaR5WihNepKoWb7joz7Nte7xuRSrqWD90zRvYCHaq1F%20KY0GIJHQ9i2Hz0zof8lNMq7HZTLQadOADQSMWDoKqG7k0IL+Yo8/9S8t2bbmM/bx1c6hczOunKpV%20P/Im3ozncvf/AJT0evItG48T2CVpdBF+GnxOqMgVd2kZVVu1nXVxdUay56oVzS6k+/mjHd04luHp%20ubFoniNauqA4CnfT8i2GPmRb7GaXOyMe7Hyv7DDJ7We1lMUrTHQjyvFMj3rudpzYNUfE4nMxJWn2%20rtPbHB2qgOkCi6yxR+JrZKh8LhQ1rUCjcqV7/gtlCCCIHztbliTiO+nep4wrwJVAppLyuDcOtTmp%20Y2u0ljaIJLodakjpkTTBZq3oSK2RmfGmFK0P6CslEy6SEyktBrgaEjMVP+mK96dSTpPLnOcOuJI/%20hp0WR6kfGN9RxOQ6507AF7wPW6FS2GNoq8gAAaneBwyUcpkLk2eXbs2GJ3pUL/uv/SnyepmSxnJ6%20lkurp73Oc5xL3Y444q7CCSNjbtpItV1JWtcqVKuQiXbcTrn6X/8AKDbsa/3m8x/8dy4vef3MvZ9h%200dn4EbXWrJQgCAIAgCAIDR/1QPDNm2on/vz/ADXLtPRiren+n7zTbuqxj4nMEt2RcVBoMvEDxX0x%20R0NdG35S+WE9Q0g59OzsVW5E116BeYZqioxr8wKpSia+USqY/tGYBoe/5io2iJokErg3oKYEdnZ+%20RY9Jh0h78cQDpOHgcKokEiMmmH3jgK9QOn8CyM0RPdmcCcsK/askjNIjc7NxxOZWSRkkQPldU0ww%20w+KzUSRRInSOqTU071n0maiQTstphWQeYUIeM+5VL2BC5yoyWEpR4FtutvkaC5h9RpHmPUY9Fqbu%20Bct6/Ei3bvJ9xbZWAE0w6EY4d+KgTLcWU7y7Cp+XHuPepESo8Vzbj3DrTNe05mVD0yhIJxr+nP7F%2049DFlVC2lMMc2H8lFFJkMme55oomjRUlhpj078F5GLfExhFviUM1y95JcQ4nCvVTxtosRtpFK+XH%20+cpadxOokVTlSpGPjVZU9xnQ81p1ocvgvad3E9IZRSIgYDGqy+wkjxO9vY5ob7WcfwIraxnE1+6F%20863X9xPxNnB1Rna1xkEBof6j5iy+24E+X0SQO8uK7f0jGvWcvv0aziaBZe/3strhl317F9Advymu%20drymUbZdkFkgOLcD3d61d+3VNGmyLXFGe7Ju8LoRFK/zZt7Fyu4bf11aWpzuTjtOqRfCAVyOThyj%20xKR4MdSte8bUVPQaArFvH1FT6XLdY2G61YoWjctybpcxjqMGDn9vcF0GPjpci1ZtGO3N07XU+TIO%20GY1BbOEDZW7ehb33sgrQgUw1Y5nsVmNpFpWkUsz4p/JM1sgODnGoFO3DHFYXcKE1qiaFY8C13W3k%20uJhd5SSaOpQNpkafkWtu7bchrHzFy3eXMtE0JB00LXA0APfkFUr0uj7S9CZSSFw8OzqpY8SeJA57%20qknKn2LNLgSJH3UfDv8AFEjyhIxocSelKfHuWLZi3QrooIgKyOAAGpwyPgFBKTehWlN8iGfcXNZp%20adLSKEDtOFVnC1XVkkLFWWyabXRpFRWhyx7lZiqa9xcjGhRumriXHXXUMs+qm6EtCdRIy4OrX7pq%20fFZeV/8AaZ0oQyay2oyIcW6aDPLPqs4tPVGapU6E+jsAX3IgMtEf5wub9S8IG1xeB06uULQQBAc3%20fWHNIyDj0bT5H+vqHhoXeehF/Xl4FPLinQ5qsbiS3u4po8XxuDm0wxC+o3oKUGma+7BSi0+Z0jxT%20c27hssR1apI2jX1z718S9V4LjOq4Hyvc7Dt3H2F4s719tKWSn9kcW+PYvie74DU26cTYbVuHR5ZP%20QvMd4C0GtQf0rnpWWjqbeYmjzLcggmuX2JG2zG7kqhZ9wvXPAEeNcD4raY2PrTmaDOy9Kop4oyBU%205nErqsLF6Y/ac5dudTqVDY64dVvLeMnpTUjba0R8n261nbpmY147CFetbd+UzhfnHgzHN341ax1/%20DygEj+gf1+P6FucbFyIqtK0NtYzJS4qneYjvuwXEbaFmgkao8K/AHvW0xsqj8xuMXLRq3kNlcQ3b%20qsoytfA9QunxLqcacTscK7GUSzq4XgiZ4EqAvD0AEmgxKyfYeFVDt08haSKRHHWMRRQyvLt1IpXk%20vEmnurOKN8Fu0uJoPVJxFP1VhC3NusiOFuTabLe5znGpNT2qx3FlKgSoCHpvv6Ov/n+7f+mn/nMX%20LeqPgj4/cyazSp1+uNLIQHN/u1e6N93CAmjvXDvmw0+mBTD9K6n0nt9JSuvjX7j5rukXLcLkn3Iw%207ju6Ohu2Pa6oBpTpjgus3LE+Zbce0oZmOpRaZsJjtL45xhUA4d6+Feo9m4r+ZcDRYV92rqfKpfLG%20/OGlwwXzG9YcXRrU+hYG4tUcWXKOW3lA9SMAjswz7aKq4tcDsMPf50pI9umia0BrA0t+UmlfFeKL%20MMjd5TXFplHcXYoe/GvaFNGBz2Rl11ZZry9oDQ1r0zV+xjuTOazc9JMofVmcSdRoTgOxdZibXBLV%20JnNXc643o2eLu0ivY3MumCYO6uxcPB2a2K2hcYVRZsb7fgumT6ovtMdu+J3MHqS2jvUbn6Tvmp3F%20dBgK5BJT1oSR3K3N0a6Sx3VvPHUSRujIz1Ci6KxdjJUWpdtyVdHUs93rjJrl0I6ElbG26l63RlE+%20WjqHHOvaCfHopqFhRIjKQNR+XAnHqMPFZdJn0nwuJB8TWh7e5KCh9qcSc61BHb3UTpFCeKBz3UI1%20VxNKgUKwlJJEUp0Lm2O1hi1yOApiBll3KrK5Ny6UVW5SdEiy7hf+oC0HS2tWgfpV2xap3mwsWaal%20skmGeff0VpQRbjApZJK95/N1U0Y8yeMSjnLtLqYGmHfVSx4k8OJ179L3+T+3YU/vF3h/47lxW9fu%20Zez7DoLPwo2wtWShAEAQBAEAQGh/qteWbJsxBp/ej1p9xy7f0Sv60/0/eavclVI5dnJMgP3ziHEV%208V9NjwKEOBctsmIGk5D83VQXIlTIgX22uBQEGh7T1VScDW3IFwimDqCp8prTL4hV5RKsoUJRKQRU%20YCtO3HHNY9Jh0n31KDDriaYU7gvKDpPJcCRUeUfbTsqnSepUPBIH6FkekL36schTA956KRIkSIXO%20w607M1kkSJEL3455Vp9izSJEiFzutchSuSzSM0iP1tJqBh1PYsukz6KkUphnaRKCK50zVa/gwucV%20qZxrHgUFzYUBMTqtGJB/NTqtRe265DWPmX1lm3e7S2vjLX0IDXNOksPhWpVWr51LaehJFI0UGqoG%20QPcsJRMZRPc925wLagA4OLV5C3TUxhboUr5AT2EmoxUyjT3EyiQvkcTj0xPesqaEiiRE5DNvTosm%20Z0PhGXQEmvU4dqUAJJbWtR1wTmCGYnQRSgAzqs0SR4nevsYwN9rOP542rDiKZtC+dbq//Yn4mzg6%20pGeLXGQQHPf1PPLdw2oCtHROqR3FxXe+jFVTOf3hVnHwOeZZHC49QYVzI7F9ES0oUox8tDJNqu8h%20UUyNMlrr8DU5FsyOwvAwtoS1uYd2Gv5Fq71qpqr1qplW28hIAZP5mmhElftWmyMJSNPexOwvMW6W%20UmUoaa0o7A1pVaue2qvApuzJcj0/cLVv9YHYE4Y5dFnDCS4I8Vplrvd4D6tY6kJGYzp3+Kv2sehZ%20t49PEslxcmT+TSmkjLvV6EKF6FuhbZ7gnAGuo0Ywdew17CrcIFuECke4kkVrjWpGPgp4onSIJJCM%20vtzyzUiRIokLp3jGtDjRZ9BIoIimlilAEgFag1yOShu4kbi8yM4xa4Ftm21rm1gfq/iOzqtXf22c%20NYaluF9riWq4hLZC1wNQKUKpp9Oj0LsJ1VSJjSPmwFB1qva6+8zbK6OaJjanF7aFp/1Ku4tlZxbK%20ae8L9WjElx0iv2qaFulCaFqnEoppjpOk4OALa4YVyp1UsI6liESne8EtaD5RkaUpXE1Uq017SWK5%20kWo1LRpc+oOOBDSslHWrMwQTqDnHHFoGBoOoRS49wPD8TWjq1acRUfDsWUXUyWh0F9HVPx3IqEEa%20WYjL5gub9S8IG1xuB08uULQQBAc2fWLT0uOY41uMP9xd76Df9efgVMrgjmZpIIIzGK+qNVKTRtr2%20r5TGGi3ndR4OiT+M2lQaLifUe19cWuTOL3/b3Wq4G1JYmSMDhixwBB8V8W3HbaNxkjjKuL7KFO0X%20MTqxvrTBoK5C/tDrpqXrWfKJ8dPePqHdRQ/BVI7bKvAnluEnzEUNMTUk51W3xcJR8Wa+d1yKhjcv%20yLd2LVCKtPEqGN0jvW5xrNXQwRRbrfttYXA+Vzm1a79C63CxeCL2NY6mYJue7PY5z3Grxi4mtGjo%20uns2FShvrVmuiLJNz82rGxzkyswwdj5D3jopnskLzflVS/DaXN1joWnc984lukTonxGK6eQGPb/R%20jxrioHsF+D6oPTsZfsYuRa81TDt22G4ie6a3a2S2pXUwggUwyrXFeRlKFIzqmbrGy1JUfEsxBBII%20oRmCpU+aLwXp6E7gXG0sTbmC9vYz+DLq6QQHuA7Bmq07vVWEX5vsK07nXWMH5iq5ByWTctNvbxi2%20sIv6KBoAx7Sc1hi4it+Z6zfEjxcNWlq+qXaWRXO0uhAEATh9PrBvr6OxX3A3XEim2mo7f2zFy3qi%20nRHxJ7FdTsBcaWAgOUveS9J5pvETBQxyNaaAdY2mpp4r6X6Ys/8ArxfacJn2aZUm+0wHZb4ictyr%20UEHEeOK6TJt1iRZdnym1OM7sy6thbSvrJHQMrmQAvn/qDa1cj1JHG5+M4y6kXgPlhNWZg4BfIN02%20VSbaVGY42dO3wK233f8AXGlwxouOv4EoOh02LvSfHiSv3OKlHOB644+KgWNLsLUt0hTVlFPuPqNo%203E9FdsYUm9FU1OTuilHQpQHOcXE550yXUYWB0czQXrzm2yZjftXQ2LPvKzZKBRb3ExatGKVSlvtx%20itW9HPNSG9w7V0uNhJqlCzasuRZr7era5j9Oe1Djm3UcqjtVpbPb15V7C7Zx5QdYssN7t+3zxmS2%20fpdk6OTL/ZcKlRy2y5D4XU2dq/OLpJGM31hND8zaDKuYp4hYap0ZtrV1MtkocBgKk6WkdtBl3qVF%20uLI2POodNIJFBhU9qyaRk0XGytXvI0ipafvYCvXLsUFydCrduUKx+4w2zXMbR7wMXDFv5VXdpyev%20AgVhy1LNdXsspe6V2J6UFPh2K9btJF+3ZUeBb5pa4fbXPuU8YlmMSndITjT/AEyUqiTKJGa0r+X4%20r3xMiGb5XAYkLOJJE69+l819oNuNa1ubv4ft3YLit5/cy9n2HQWfgRthaslCAIAgCAIAgNR/UR7e%208n5fsViNhayaWxmMsts40c9ukjyYHHFdT6W3SziXZO7WklSpWybPWjkveNo3nZL02W82M1hdDH05%20m6TQ5L6rj5Fq/HqtSUo9xqpWXEjt5Aw1qcMQBkSs5IrTjUu1tcmhDhiDjT9CglEpXIFxiuK/MfBy%20glEqSgVcdw6mYcOiicCGUCQTiuP5OpWPSYdAdNhhh0qe1FEKJGZNWZp2/wCpZUM1GhG51cafBepG%20SRE59cjQHP8AhWaRmkQvdq8OxZpEiRDI4eFM1mkSRRA8kmhwHYs0SJEMkjq0bUFtaju7VlQkUSAz%20uHmDqB2Jd4dnevaEigWzcZC6MuGL8g749VXy8eDg5NaouWFqUzJTQ1xDQMOq5t6+0lcT2ZABX4+I%20Xi8TFRI3E4VPmHT9K9iuzgZI8gF1APLWtB0oc0bPW6BwIJGAoKY/bgvanqPmOBria1P6EdOHYAaH%20AGnaTgvUCGbFjuymXf2rNIkhxO9fYz/Kzj/mDv7szI1p5RgvnO6v/wBifibOHBGeLXGQQHPX1R7R%20vdxc7Vf2djLc2kMbmzzQtLyw1JFQ2q7z0XkWoucZyUW+FTWbhYlOjRzsJmvfpdg+vmBwcD3jovo/%20Tp3GocGi52U5bpFKjGjqqrcjUp3YVL9Z3goAcQc6qjctmtu2i5wXJbQtNWg/HvHxVSdupTnbK+K/%20IFHHSWmppjmKVCrSs9hVlZJhfAtFHnDrQ1wwxUfyjD5JG66jrSmI7DmO0rJW2ZK2ymmnLga0r0pW%20hafun86mhAmjAp3OFNOYb8pGA7ypkuZKkRPdTDqeqzSM0ime8Yuy6lSpEyRTSyHHtGAUiRLFEEjw%203KvQYqRIkSIH3BAJrQZ16juWaiSqBTXl018elzdThhl24rCeHC58SJbVujqY+66cJ3w6iGaaNaP4%20TmFpM3EVqfSu5m0VtdKZO2cuaMyNXy5YBvb4qhKNH7CJwoeXSE6STRpILwcqnuzXvT2ewyUSFz6C%20nytpR1OoBrVSdPMzSPJa8tLwNIJAaDl40715V8nqZJqtD5RxeW1ABGBGeGeKyk+XaOVRXx8vUony%207AQvAIbUg6w6hdjSvSoWUSRHQv0dmt9yI5eSPD4hc36k4QNpi8Dp1coWggCA5r+sanp8cxxrcYf7%20i730H/fn4FTK4I5mX1UpFXtm43G33kdzA4tc04946hQZFhXY9LIcixG7BxZvDhfO7W8s2MmcdDsG%20g4uaf4F873nYep8NT5/ue0yhLTiZrGYJ4hLA4PYciF87zNpnbbTRz84ODo1qDCQtZLEaZHU+tiPZ%208VlDGZlUkbGAMevRXbONXQxPFzcRwQukeaADpSo76FdLhYfAntWnJmD71ubnEyOeHaaiPEkHrXFd%20Zi2KaHQWLNNDAeQbuW10yCrmkh5rQ9op2reY1ivI3+FjV4owia4lk8rnEhuS6GFqMeB0MIJcCJSm%20ZUW1/dW+r0n0DhRzTiCPAqG7jwuKkkRztRlxKWdplcXE+c1JPaT2rX3tptyXl8rJoOmhTOic3vHa%20FqL+Hct6tVXcSp1PjTpcDStOiq8T1o9TXE0xrI8upkDkPALyMVE8jBR4HhemQQ8CHoRHgQ9N9fR2%20SPcDdcCa7acez9sxcv6o/tx7Kk1ilTsBcYWQgOOfdqdo9xORRDJt0zT0OMLCV9Y9NRf+JBvv+05P%20co1vt1qYXbsDJ9TRWveuglwKk3VUMs2nciwh7D5m0wJyp1WnybBpMmxXRmwds3y2vg1jyGymgB6O%20PWi4fdtk6qySOayMSUNUV7oa9Aa5Lh8ramm019RVUmiIwDsWqltkK8DL5jPQiAyCnt4SjwR45EjW%20LYWscwbJGtAW2xsavI8SqQXl0II6jF7sG9g8V1GJjKlET24VMVvrkvLgSWgGrgevWq3tqFDbWrdC%20y3E5ccTp6UGYFMCPHtV2MS/CFCmdIQDU0bhUDAYKRRJkjwL2jS01LMyx2I+xLmKp/EkzP5bLdexW%20rx6kP7KuNOle7sVGe0P+Rlq3OSdGWR1zEyQxHyvGNCqN7EuQ+JUNj8ttV5FQL9+lzWOLGu+YA9O8%20ZKs7S4kLsriymknBA78QehJUiiTKBTyyZ16HAHvwUqiSxiU5e5xGeP8A2KRLsJUqHntrmvD0+9q9%20BTzULHeGef51nHiSR4nX30u0/wAH9upl+Iu8e39u7FcXvX7qXs+w6Cz8KNsLVEoQBAEAQBAEAQFq%205DxXj/IrF1lvNjFe27vuyNrQ9oOas4uZdx5dVuTizGUVJUZoPnP0pOZrvOGXpFA5x266INXHENje%20A0N/2l3O2+tn8ORGv/UvvKd7ET1RpDeeP8j43eOtd82+aymjP3xWMnt1jyn7V2uNmWciPVakpL6/%20cay/iyifLe7DhUHDPTWuB6qSUTWztlbHcasa0riK/nUTgQSgTi4wORPQjIhYdJF0Hv1mnosekx6Q%20Zifmz6nuXvSe9JG5+Fev5f8AQL1IySPDnVwz71kkZJEb35CuIwoskjJIp3OBw6dP0LNIlSIZHAgg%20UNPmacMO5ZIkiime4DPpUtOP2uWSJUine4Ykfl7VmiVIt9+PJUgUOFeqwyf7Ui1Z4lLDk2nTKvYO%20q5Z8CaZIHYd/zE96xaepg0fOzy54j4r1cT0+twOBFRgaZ0XjDPsgGohvXM96RPInmvmqBQZY9qLg%20e8jy46a1waM+ua9TXtPUQzEaSOrsSe1ZpU8CSB3x7Ggj2s4/UAf3WOmn+SMV853X9xLxNlDgZ2tc%20ZBAfHsY9hY9ocxwo5rhUEd4KA11zr2H4LysOn/DDa9yp5Ly0aGU/lRt0sd8V0G2+pcrF0UuuHZL8%20eRXuY0JcjnvmXsdz7iRkuGwjdtqZi25tQS9ra4eowgLv9v8AU2JlUTfy59j4e81mRt74oxC0vQa6%20qh7fnDhTGtKUW5nb7DSXrDToXi3vSMRlkqk7Zr52iujuWloJz6EKBwK8rZOHnMOzxrXr2rChFQ9e%20oTgaUJqQMK/Ysek86TyTmBg3Oiyoe0I3SgZY4VWSiZqJA5xOBNe/uWaRIkU8jx+cePapEiWKIJHH%20E5+CzSJEile/oD3mh/MpUiZIppX1wBBaR+f/AEwUqRNFFFO8lpBqAPtU0UWILUsUhcLpxFRSpoMc%20OzHKq0W6/wB32I2MfhKhpJLswCKUOXbh3rU1504EbR981RqBA04Vz7gib5LQ805HguodLaHHU4fe%20xwwT4dVrUypUkc/yFzyKggDpQeAXjai+4wS1ojzQkmlMTUA9B2L3zLvMtD48uOkA4dmYWTYSIHGt%20ANOqlNNaglv5qLJEiR0L9HBreciP8VnSn3gua9S8IG1xuB08uULIQBAYzzr254rzaxZab9bGX0q+%20hOw6JYy7PS6hpWiu4O4XsWfXalR/TiYygpKjOdObfSfySwMtzxi7ZuVs2rxay/s5gB91vzaz9i7z%20bPXVaRyI/wDcvw5FV4vYzSG77Lu+zXz7DdrOWxvI/ngnYWPHwK7zD3Gzkx6rclIrTg48T5tm6Xe3%20z+rbO0OOBPcpcjHjdVGVcjHjdVJGyeLe5cjI2wSSBstQ0tcPKSc3Adq5fP2VPWmhy2fsmtUtDYVh%20y+zna0SUr1ew6h40XJ5OxKtUc3e21p6Fx/fu2f8AfKktldeBW/wp9hBccjsI43GKsrxSjcga96t2%20NqpSqoSQwZN66GN7tvRlIL3eZlRH0cWnoVusfF6TaWMenAw3e96iaJHF2TakA4tFaU+1bixYbokb%20jFxW2jAtz3CS7kqTgKgNGQHSi6LGsdCOlx7CgihVosBAEAQHx3yu8FFeXkfgZIo1xqROESAXj7QF%2073AIAncAjBvr6Ov/AJ/u3/pp/wCcxct6op0R7ak9itTsBcaWAgNW+4P0+8W5ZfTbrbzy7XvM51TX%20MfnjkIFAXxVaHHAY1W92z1DkYi6Y+aHY/wAeRXvY0bnHiaE5d7Pc/wCJSySXFk/ctuFXC/sgZGtY%203DVK3DQftXeYHqXFyNG/ly7JfczUZO2SWsdUY5t+5MeA6N1T8oJ6Y4rc3LdV3Ghv47WjRkljuLmu%20BY8t0nLP4gd61l6x3GpvWK8UZXtfKToayUBwAy6j/UtJl7XGfI09/A7C/wAO52EzaslbhgQcCuev%20bJqa2ePJcip8vcqS2xpkPQfajuU8NtS58D3pKG73a3iDmsdrkAFAMscFuMfCa8CxCw34GP3t+6aV%205rRxzIydUU+FFtrVpRRsLVmiLJdTAilfLWnaCBjWnjgrsImwtxKOR1XF1a96mSJ4opZX1xPjRWYR%20J4oo5ZMicQciB244qeKJ4xKO4ldpOQJzPXBTRiWIRMbupnG/IGOAp249oWs3aPw+021uPkKpsnlF%20TgOnbXotE466ETjqfXSYdlBSvYF5FHiRE5xJKzXYZpEkrRoaWig6nv7VitTxcSIZivWoCy1PT4SA%20OwVxHwQ9Kac+UntrWuKkiSwOwPpeFPZ/bRWo/EXdPD13YLid6/cy9n2HQWvhRthaskCAIAgCAIAg%20CAIAgKDeNh2bebV1rutnDeQOBBZMxrxj2VBoprGRctS6oScX3GMoKSozRnO/pYspvUveG3ZtJj//%20AI+c6onE50kJ8nhRdrtvrScaRyF1L8y4/wASndwk+Bo7kvFuWcTuzbb/ALdJa0wbcUJgfTrHJShX%20b4WfYyo1tST7uftRqr+E4Moob0P+TI5VGB7grLga+VqnEqBPXP8A0Cw6SLoPfqtOOJXnSY9IMoNT%20mcfyJ0jpPDpMKZZVpnQr1IyUSNzzkThlWtSskjJIjc8DPE0wHXDsWRmkU8hLnUzIwqRTE408KLJE%20sUQSOFSRXHKvYOp7V6iRIp5TUrNEsUUF6QGOz8D29oWGV/akWbXEpWHyBxyIFO5cs+KqTNakmqp7%20XVGeSxSpyMaH3DUKZ9cf0rzgjzkfY/moR4dM161wPJHqQ+buBxwWMBEjwBwxJz8fBenpGXChOoCp%20wPYs/boZpF94XwDlPNt0Fjsdm6arqXFzQiGIHq9+QHYq+Tl28ePVN0+1+BNbt10R3l7f8Wk4txDb%20diknFzJZQtjfKG6QSAAcF86zL/zbrnSlS+uBkKrHoQBAEAIBzQGB839l+Fcr13E1r+D3M1Lb62ox%20+r+Nhit3t2/5OLpGXVD8r4Fe7jQmtUaC5n7H874qHXNrH++dqYSRLbtJma0dsYLnFd5t3qbFyfLP%20+nPv4e809/anq4mEQbh+1MT2mOZuD43Cj2nvBW9la0qtUaO7jtFdFdk4jGihlbK0rZO25bWgcfD9%20CjcCJ2z16oNRWtV50nnSefVFABjlh4r3pPekjdLWuNMPsxWSiZqJC5/XLP4BZpGaRBI7HwNB9izS%20JYoppXUaTjjgP+1SxRLFFNM7F+JGOmp6dtFJFE0UUU5wIBwzU0SxAsspb+JlH62YzqBmtDuv932I%202EV5UTMcdTanH5aZDtwHVaptkbR9aaChNC0u11Nc/l8Ebpq+B40fA06fTyNASQMKE9Eikloet61K%20n5YtQJq5w8xzo0UHiokl1ewh4sg1H7rh5h5PFSJ115EtCN7mN000uH3QMPNkTXovYxSVEZJNkEjq%20EhpJkNWtpg4n7uHUrNEsY1OpvpQ4VyXZrLdN23ayfZQbgGtto5mlkjg2h1FjqEArkvUOVbuOMYur%20RsrEWkdBLmywEAQBAEBZ+R8P41ySzdab3t8N7C7/ALxuIPaHDHBTWMm5akpQbi0eNJ8Tn/nf0klr%20X3XDb1zzUu/AXjm1NejJAGADxXc7X64uQ8uQuqPauJWuYyeqNA8i4pyPjd6603qwmsZWuLWukYQx%20xH6j/ld8CvoGBu+Plxrbkn3c/cVJW2uKKey3rcLUj0pXAA1zVi7h258indxLc+KMhtOe3UbCJPg1%20uAA+K1tzaavQ1lzZ4vgVT+fO0lzHEjo3r318FEtqdeBCtn7S3XnL3PbSMagaEg4UPUd4Vi3tr5lq%201tlOJYL3cJ7p1XuJAy8OxbKzjqHA2VqxGHApVYJggCA+ZLBuh6fVmeHx3ynwKivfA/BnqKNcaiwF%204AveYCc9QEXEBFxASgOjvpA4rvsXIdy5DPZSRbS+0NvBdSAsD5TI137OvzDSDiMFx3qTMhOluLq0%20yxZi1qdWLlScIAgBAIIIqDmCgNd829iuDcn13Dbf917oakX1nRji4mv7RtPMFuNv33JxaKMqw/K9%20UQ3rELipJGkeWezfPeKl88UDt621hJ/E2bCZA0dXwjURQdartMD1Nj5FI3P6c+/h7+Rz+Tssv5NT%20ErTd4ZNQJxYcR1B7D3rduypKsXVHPXsSUXqXm33KRrtQdrphgciFTnZNfOwqFdBuz6CrnNDTShxa%20OyqglYRXnjIkG5+oKatVQG1PTVgsfk0MP8eh4k3APxqSXCgGQJb91ZK1QyjZoUcty5zKOA056SKV%207CPipYwoyeNujKZ0hPbV3zd6kSJkinlfUdFPCJLFFLO6nxHwGKniiaCKOVwFTlXHEUNOn2qaKJ4o%20obh/zHKnXNTxRZgiwXP/ANWK1GAzy+C1O7U8vtNnb+AnY6niOlMAtJJcTCSPuodMcqU60TmeDuwp%20T/QrwE5bSEahm/DDMUGKwrXkYkBy+H/6ln9PqMjy92HUCnh1WSMkijuZWhhJpl1UsEyeETsb6X2P%20Z7P7YHsMZM904NOGBncQfArhd5knkyo6m8tfCja61hIEAQBAEAQBAW/fbuWz22W6jlZEYqEukwbQ%20kDH7VhN0VSO62o1RWW7tUDHaxJVoPqDI9+CySoZxehIvT0IAgKXcdr27crZ9tf20dzA8FrmStDhQ%2055qS1enbfVFtM8aNKc3+lrYL8y3nFbk7TduNW2jyXW57cTqeF2O3esr1ukb6+ZHt5lW9iRlwNC8p%204PzTiFyY9926SKBziI7xg1xPaz9UipHxXdYO6Y2Wq2pKvY+KNTewmiyxXofSlDXGgPT+FX3GhSla%20oTCeI4B3esaGDgz16jK/NjgPtSh50s8mUFuoYN7e3sp8V7Q96SN7nVDTU1GIwr30/ShkkiJziSaY%20fe1dBTBemaRC7rVtNWLe4LIkRA81KzRIihvQQ1x6E1qfD8yjyv7UvAs2uJSR6dNaVcaFw8VyzJpE%20wrTOja/YVi0Rs+1rXDAdB3pqD63OtTUdRmB3rF/xPGfJHNaTXED7Fkkz2KqRF5a6mJJNGtGZ7wsq%20riyRRqbl9pPps3/lfpbtyPVtexHzRxkUuJwcRpbQgN7ScVodx3uFnyw80/qRZt2mda8Z4nx7jG2s%2023Y7KOytGfcZUkntc41cfiVxt/Indl1TdWW1FLgXZQnoQBAUW6301nFHJGxr9T2scHGnzGgP2lYz%20bS0I7k3HUrG6tI1U1UxplVZEh9QBACK4HJAYTzj2g4Xy6A/jLQWt6B+yvrYenI01rUhtGu/2luNu%203zJxJVhKsfyvVfw9hBcx4S4o0JzH2E51xt7p9rH792sEmsVG3DG9r2nS37F3e3+qsbI0u/0p/wD5%20/E0+RtX5TXbdw0PMc9YpmGj4ngtd9hAXR/KqqrVGmuYslyKlty0ivxUbgV3bJPXaaDVhnVedJj0H%20wzAj5aCuXwTpPeg8PkBOeHRepGSiQudXPLp3LNIzSIXuOoGnbVvUj81FmkSJFLJkMa0yPbXsUqJo%20lHcAkGhIPQ/oCmgTwZZCwm9cH16gg5/kWh3Z1u+w2Kfk0J4z2UcSK4VJrWlRVaiToRtEmALQSTQj%201SAKkd9V43WqXEw+iDiaND6Ur5qV+FF5OlNT1dxK6gh1GhAOJ6t7qd68ckm6ka40Kdz9Ixr8x0mg%20y7B4qRIlSqVOx7HvnIN1j2nZbV97eyu0siY0Ux8xL3fK0N8Vhduwtx6puiRPbtdR1X7RfTds3GDD%20vPJNG579g9jDjBCc8Aaaj4hcjuG9Su1hDSP1s2NuwkbtAAAAFAMgtCThAEBbNy3622+6htpo3mS5%20Om30iut36o76Y4ryoLmCSASKHsXoCAIAgKDedg2XerV1rutlDeQOBGmVgdQH9UnEfBSW7srbrFuL%207gaJ5x9Jez3TJbriV4bG4JqyxuCXwZ4gP8z/AAXY7Z61v2aRur5ke3mV7mOnwOeuWe3nMeKXLoN7%202yW3a0nTOAHxOAyIe2ox719D27f8XL+CXm7HoynO048THFuSML0BAEAQBAF40AiVAfHfKfBR3vgf%20gzJFGuNROEARsAL1aALwEtpaXN3cR21rE6e4lIbHFGC5ziegAWFy7GCcpOiQSOlfZz6W2yMg3znT%20CAfPDsgNOmBnc3szo0+K4vc9+lcXRadI9vMsws04nTVnZ2tlaxWtpE2C2haGRRMAa1rR0AC5xurq%20yYmXgCAonbtbt3MbbpebpzPVaA06fTrSpdkMQgK1AEAIBFDiEBhPNPZ/hPK2ukvLT8LuB+XcLWkc%20wp0rQtI+C2WDu2RjOsJadnIiu2YXNJKpo/lvsbz3jeq62r/r1gw1pCC24a0ZAx+YyHwXaYPqmxe8%20t5dD7eX8DRZGxpqsWYJDuw9UwStdDcNIElvL5ZGfymnELolajOPVBprtRz1/BlB0a4Fay9ZJpxwp%20QfBROy0VHaaJDM0gVd8owWHQzDoPnqs7ar3oZ70sjfLUU6dikjAyUSF0lakEV7emdKKVRJEime7D%20sAJJ7j/ApUiZIpJHYHDpXBSpE0UUNySGuA+I7lKizb4mO3L5Df5Fo0+XsHatZu1KR9ptbaStlYzP%20v7v4VoWQM91+9TpkvGeH0Uwp2E9qanhNISYgTgAaAdCKKNLXvMeZTFwNTgT4KQkoeLeK9vb2Lb7C%20B91fXDgyC2iBc9xOdAK9FlOcbceqb6UWLVly4HQ/tR9MLGGHeOdsEkzTrg2VhBjb+r67h82GOkUo%20uW3De5TrC1WMe3mbazjqK11Oira2t7W3jt7aNsUETQyONgo1rQKAABc+3UskiAIAgCAIAgCAwv3d%20sI7rhF7LJI9otdMoYw0a/wAwbpf2jzKDJScGQ5EawZkPGLWO04/t9vHr9OOFgb6hq6lOpUsVRUMr%20KpBIuayJAgCAIAgIbyytL23fb3cLJ4Hij43gOaR4FZQm4uqdGeNVNOc7+mPiu8F93x1/7kv3GpjY%20K2xw/wC7FCMe9dbtvrDIs+W7/Vh/+veVbuJGXA0BzP2x51w+Yt3WwkktRiy+tgZYi0ZF2jVo/wBp%20d5t29YuWvJKkvyvR/wATW3cNxMVZdagS13TAtzC2rjQqO3Q9+r3Up93t7gvKGPSfdffgDmc/NmCO%20qCh4Lhp09McBhjXqvTJIjJwXpkiFxONMT2LNGaKO7IDHNyFKCgpTrn1UWV/akWLfEpYqaWmuAFB2%20FcsyaXE9h1Sa1r+cLFrl7jGh6q6ta1cOvclPrPKHzU0eauA7O5epntCu4/x7feSbpHtmx2kl5eSm%20mlgJY2v3nuyaO8qO9fhbXVJ0JIQq6HWHtD9NmzcYEO78kDdy30DU2JwDoIT3DHU4dtVxu475O75b%20flh9bLsbKRu8ANAAFAMAAtATBAEAQBAYH7vQXz9lspILt1vCy8hbMxh0ueZHtZG4H+I86qKvkVoq%20OmpVy+rpVHTVfaZtZMkZZwxyvMskbGsfK4UL3NFC4jvOKsFomQBAEAQBAYdzX2m4Ty9rn7pYtbek%20UbfwUjnHZ5wK0W22/esnE/ty8v5Xw9xFOzGXFGgOZ/Txznj5kuNkf+/dv/VaNFw0Z00Av10HVd7t%20/q3Gv0V1fLl71/A1V/a+aNZvupYZzbXLHQzsPmgkaWPHi05LpoxUl1RdV2o1FzGceKPYuQRQUoM8%20cF50EHyz162Zb2gN7yV50nnQeTKCCHebKuFMzSoKyoZKJE49KfrNp1diskZpEL+yvX5Rl8FmiRFL%20Mc+84qWJNEs8lTeOZ+sTXqKDpRaDdv7vsLy+CpI19WmppUasHZUNAB3LUtpcTFo9mpD6tJcQKsJ8%20vgCvTHsBdiS0UePKSBqwGNCvFXmKHiWZlGvBoBUVJpnjj3hZJGUYPgZ77YeyfKuezR3cTDYbDWk+%204ytI1g5+iw01HtNVrc/dLeOqcZ9hcs2G+J19wP244rwjbBZbHaiNzgBcXTqGaUjq9+Z8FxmXm3L8%20qzfs5GwjBLgZOqhkEAQBAaw90fcC52Lf9rtrWxdObQi7mkcKNka8+j6UR6yftNVOwKG7e6GlStSt%20fyPluKpXqZsq1uG3NtFcNa5jZWB4a4UcNQrQjtUyLJKgCAIAgCAp7/brDcbV9pf28d1ayCkkEzQ9%20h8WuqF7GTi6p0aPGqmmOa/Stw7d5H3WwzP2e5cHEwtGuFzjlRpI0Ady6nbvV+Xj+WT+ZHv4+8hnj%20xfcc9c59mOecOkkfuFibjb2HDcLar4iO/AEL6DtfqrFyqRb6Zvk/uKk7EkYMulTrqmRBe1PAvQEA%20QBAfHfI7wUV74H4M9RRrjdCwEbAQBAZLwX285RzbdWbfsdo6UVAnunAiGFp+9I7oFr87crWMvM9e%20wzhbcjsb2n9heLcEijvXsG4cgLR6t9KKhh7IWmunxGa4TN3K7kPzPTsLMYJGz1rzMIAgCA1ju298%20mi959u20PijtJrZzra2Gc0ADi+R7q4Oa7VQdyhlOXWlyK8pzVxJfDzNnKYsBAEAQBAYrzH2w4Zy2%20As3bb2G4ApFeRfs5mH9YOGBPiCr2FuN/Gl1W5NfYYTtxktUaL5f9PXMNkMl1x+YbzYMJcIH0ZdMY%20PsDz4Bdngerbc6RvrpfauBp8jZoyq4e41m+6urW4NpfQy2N40kOtbhhifTta14BPiurtTt3V1W2p%20LuNDfwZ2+KJmXnfXt7j2LJ2yo7R6/EHKpqMe049O9Og86Dw6T7xxIyBw7ivUj1RIXuqaVr2HrTsW%20aRIkQSuqPBZpEsUUc5GONBkeuakRPAsd2f74G9TU6ajCn8K1W7fy9hsrS8lSZpr3/pWjZGySv2g1%20xxp9i8SMaHwuFDTwp1QCe4qwNJ8rQO5ZKHYexgZFwD2y5bz3cRBtMBi21h/vO6ygiBjciGHDW/ua%20VRztzt46o9Z9n4mwx8Ry1Z1p7aezvFOBWn9xiNzukjaXO5T0dK45kNwo1tclyGZnXMiVZv2G1jBR%204GdqmZBAEAQBAEAQBAWjkPKtl2Gymudwnaz0WF/pDF7qCtGjqSrOPi3L0lGK4mMnRGu3X/JvdaB9%20tYF2ycPcP2145odcXLmmuhrHUDWgjMFX72NaxaxuJXJ9nIwi+tV/lLjJN7g8NYBK+PfdkZ5I5HD0%2052dG6tIPXvXPNzh3x+lDe2bONfSiv6U/emZTxjmFtvcEYMElveO1epbuGLdJoT4KWFzq8Spk4UrT%20eqce0yFSFIIAgCAIAgPE8EE8ToZ42yxPFHxvAc0jsIOBXsZOLqtGDUvO/ps4VyF0l5tddk3N7tZl%20gFYnfxTFUNHiF1O2+rcnH8s/6kOx8feQXMeMjnjm3s57g8P9Sa9sTebbHidwtavYG9C/AaSu+271%20BiZdFGXTP8r+411zDaMJjuGvFQdR61zW8cKFSUKHv1FjQx6TyXVx/IvaHqR5JpTCtcMF6ZIobogx%2001A54VrRR5f9qRYt8SmjwYBSpr2YLliaXEkcWjHKuFe7vWLquOpgkeHPa049akk+HROnlyMkqmyf%20ar2L5TzyWG6ex+2ceqQ7cXg1eAaERNODitXuG7W8dNcZ9n4li3ZrqdhcE9uuL8J2pm37JatjIFJr%20pwBmkOZLnnHPouJy825flWb9hbjBIyZVDIIAgCAIC371v+0bLYzXu5XLLe3gbrkc44gfyRiVLasT%20uOkVVs8boa13rduQ+5L/AN38XhZb8btpI7h293QdpuJYXiRjIWjzadTRUkK3kYULUGrtfm8o9niY%20KKuUbflqXdvuJyHZHG15Vsr2TUJgurUtMMtDSgqTQ9aFaZ3nBede43cduhe/sSr3S4mbbbvO3blD%20HNZzCVsjQ8UzAPaOisJpmtu2J23SSoytXpEHEgEgVPYgAyQBAEAQGKcz9sOGcutjFu+3sMwFI7qM%20aJWHtBbn8Vs8Dd8jElW3Jru5Ec7UZcTn3m/02cu2P1Lrjkw3rbxU/hnENuWNGPXS13wXfbb6xsXq%20Rvr5cu3+X8TW3turrE1LNJc2c5gvIJLadhI9OZpY4HwcBVdbDpmqwaku41c8do9eq0ila0FDXpjX%20Be9JD0n0yE4g4nA9lO5eUPOkjcaeJyWSM0inly/N+lSRJYlkI/vhNaEZU6g+K0O7v+r7DYfyFQCR%20ka6eppSmdf0LUsjPrn4FwJI6PwqAc6DuWPSq15niXI+wQ3dzcxW9tE+e7mfSGCIapDXpQflXraSq%20+BnCFdEdGe0/0wVdBvfNwHaqSxbK04AjL1iPzArmNx33+Sz/AOX4Gws49NWdI21rbWsDILaJsMMY%20oyNgDWgDsAXMSk26stki8AQBAEAQGnvfTcLODkPC2yXUULo9w9WZj3Coi0OGojo2vVRXVwb4dv8A%20EjucYpca6f6G27S8tLyBtxaTMuIH/JLE4PafAioUpK006PiTIeBAEAQBAEAQHx8bJGFj2hzHChaR%20UEIDVXO/px4DyZslxZw/ubc3VcLi1AEbnHMyR/e+BC323epMvFaSl1RXJkU7UZHOfO/p+9wOJuln%20Fqd12xriGXlo0vdpH3nxN1OYPFfRds9Y42RSNz+nPv4e8q3MdrhqjWjg5ri0ijhgQcwe8Lq4XFNV%20i9CvQLOh4F6AgPjvld4KG8vJLwMkUa46vEnCNgJwVewG4/aD6c+QcxfHum9B+18eBDg5zaTXAriI%202mlBT7y5rc9+jb8lrzS7ewlt2q6s7A4txLj/ABbaYtq2OzZZ2kQHlYBVzurnnq45krjbt2Vx9UnV%20llKhd1GehAEAQFm5NzHjfGbQXW93rLSFweWaqlzvTbrcGtFSTToprOPO66QVWeSklxNQv3vnvI+Y%202nuLsHGnS7Ftls+1toLpwhurqJxcXyxseWluDzpqF7lY8bSWtbi4rkZ49qFy555dCpozO+Pe8nF9%201urexu2T7RuM7zD+FvY3RlkgaX6XOcA0VAwPVU4Xk/Eu3tuuQXUqSj2rUzpkkcjdUbg9v6zTUYeC%20lKB6QBAEAQBAY/yzgPE+V2pt9826O6wOiXFkjSRSoe0tcrWLm3seVbcnExlBS4miuYfTPyDbvUuu%20J3v7xtxUt266LWTUpkyTyMw712eB6xWkb8f+5ff/AANZf2qEtY6M1FfxbntV2bPdrSfb7ppp6dxG%205laGh0OIAcO8LssfJtX41tyUq/TgaS9hThxR5bdBwqDXx7O5T9BVduh9MwOZw7k6TxRI3ur49Ssk%20jNIpZ3VBH2Du7VkiWCLBcFx3Gh+63Cv+pazduEfabS2v6ZVMPlHd+f4LQshZ7JH6AV4keJEZkc+R%20scTHTTSH9nCxpc9x7Gtbiar10iqvREtu05OiN6e1/wBMu4boYd25sTa2B0vi2hhHqSCur9s4V0tI%20woKFc5nb5xjZ/wDL8DaWMRR1Z0zte1bbtVjFY7dbR2tpC0NihiGloAFFzUpNur4l0ql4AgCAIAgC%20AIAgCAtV3sTbvd2Xly8TWzI3Ri1e0FoLqVIwViF/ph0rR14njVePAuFra29rA2C3jbFCz5WMFAK4%20qBybdW6s9JHNa4UcAR2HFeAphtlkL0XojAuA3QHjDBY9KrUz+bLp6a+UqlkYBAEAQBAEAQBAfHxs%20kYWSND2HNrhUH4Fep04A1fz76euDcqMl1BCdp3V1XfirXAPf01tOoU8Aui2z1RlYvlr1w7JEEseL%20OeOa+wPuJxX1JorYbttkQLnXdtjQV6sJD6+AX0DbvVOJk6Sfy5vk/wAeBRu4rWprhz5GSenK0xvB%20o9jgWub2VBXRJJqq1KrttHxz3OGnA6qjr0XqR4kU12T6YHQChrTNQ5X9qRNb4lHE7S0GlemGfcFy%20zryJ5IqtvsNx3K9ZYbdA+5upiGxQxjUanw6eKwlKMFV6IKNdTp72j+ly3s3xbzzlrbm7aQ6HaWms%20TMMPVIzcD2Gi5Pct+cvJa4dv4Fq3ZpxOibe3gtoWQW8bYoYwGsjYAGgDsAXMNt6sski8AQBAEAQB%20AY3uvELPed0uXbtbx3O3yxsZE0nzAgeaop1V23lytwXQ2pGDgnxL1te12O1bfBt9hE2Cztm6IYm4%20Bra1oFWu3ZXJOUnWTM2SXVna3cYiuYmTRg6g14DgCMiK9VE0ZRnKPB0KTbtistuuZprRrYhOavja%200AYZAUyCxjbSdeZNdyJXIpS1oXFZlc+E+YChx69EB9QBAEAQBAEBjPMPbjh3L7Ywb3t0czzlcsAZ%20O3+TKBqC2GBuuRiS6rUmu7l7iOdqMuKOfedfTDyTanS3fFLgbpYjz/gpfLO3H5GHza/yLv8AbPWl%20q5SOQuiX5lw9vYUbuBXgae3Cz3Pa7v8AB7paS2V204wzNLCe1dhZu270eq3JSj2o1k7DiQ+oMK44%20flUlCLpI5SdBIz7sSsomceJZnu/vbq9hI+9j0Wh3evzF4F9LyEpeGtJNBpADsAQMarUmFKmS8F9u%20uVc63L8LsVq50DH6brcXgtghD8cXCuJpgqmXm27Eayfgu0mt2Wzr72t9k+L8CtWyRsbuG9Oxl3SZ%20g9QEihEddWgeBXF5+6XMh/lj2fj2mxt21HxNiLWkgQBAEAQHx7wxhe6tGipoKnDuCA0r7j+8HJot%202g2vhdv67HxET3T7a4e5s8hMbA2jaUaaOJpRbjB2+1ODldl004LTUjlN1VEXHhvsPs7Wy7zzOeTk%20XItxYDdTXDnCOLVjphYNOmiq5eZ8yPy4pRtdn4ktmTty6o/EuZT3/tbyTiU7r7he63f4CQltztgc%20xz2tdj+xMgLBp78VqHZ6fhbp2G4huEL2l+MXL8340Mh4VyfmEItdj5LaE7g/+g3B7mD1ohiXSNaR%20pfTsABUkJvRP4itk2LbrO0/J2dn4mwVKa8IAgCAIAgCAID45rXNLXAFpwIOIKA15zv2I4By5sks9%20n+A3F+P4+08j697TVh/3VuNu33KxJLolWP5XwMJW4vijnTnv008442JLrbWjettbVxfBhKxvTUw0%20Lj/JC+gbZ62sXKRvLol9RSljySqalnt57eV0NxE+GZmD4pGljh4tNCF2tq/C5Hqg013EDTRGs6g+%20O+V3go71el+ARRrjywVe07Rue738W37ZbSXd5MdMcMTS49lTTId6r5GTC1Hqm6L6aHqVTrD2d+mL%20btiMO9cwZHf7q0slt7GtYrd7TqGqmD3A+IXEbnvc776YeWH2lmFumpv5kbI2BkbQxjRRrWigA7gF%20oiU+oAgCAIAgMGvfarj3ILgXXKLQXlxBcGa0a2Wb02Nwp5S6lT1Vq3l3LapbfT28DxqvEzeKKOGJ%20kUTQyONoaxgyDQKABVT0s+68N45us8lze2UctzI3QZjXUMKA+I6FeOKZLC9KKonoXDa7Bm32ENmx%205kZC3S17qaiB20RIxnPqdSqXpgEAQBAEAQBAWjkfEuOcktDa71YRXkRFAXijwP4rxRzfgVPj5Nyz%20LqttxZ5KKaozRXNPpbuIfUu+GX9RUu/dd2TSn6sUmf8Avldlt/rKa8uRHqX5lx/Ao39vhOrWhpfe%20tl5LsFw6337bp7CRhIc6RtY6jCgkbVh+1dpibhj5Crbmn3czTXsGUORQtuQ5oINRhl+dXWqFV26E%20crsK/dFaIjKKLHcEfj20zNCf0UWt3ZfD7TZW15CcPoDQ0woK9KLR0qR0L3xDhPKuabm3b+P2jpSX%20D17p/lhhZ1e57qA07BiqmVnWseNZcexFqxiuXgdY+1nsNxfhEbL2do3Tf3YyX8wq1lR8sTMgAetK%20rjs3cruQ9XSPYbS3aUeBs9a8kCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAwLnHsnwPl%20zJJLuxba7g8HTfWwEcmroXEDzYrd7d6gysRpRlWP5XqiK5aUuJznzz6aubcbD7raq75trcawtInB%20OP8ARAuJp2hfQds9YY2R5bn9Kffw95SuYzXA1DfWtzbyyW9zC6C5jq18MgLHNIxxacQukyJKdluL%20qnzIUmnQyX209peWc+vRHtkBg29hAuNylB9JgrjprTW4fqgriM7cbePGsuPYWlbb4HY3tl7OcT4F%20ZgWEIuNze2lzuMoBkceun9VvcuGztyuZD83w9hbjBIzxa8zCAIAgCAIAgCAIAgCAIAgPjXB1adDR%20AfUAQBAEAQBAEAQFk5NwvjHJrQ2u97fFdx0IaXjzNr1a4Yq5iZ97Hl1WpOLMZQUuJoDnX0rbhbGW%2074ZeGeLFw225cA//AGJPK37V3m2et4ukcmP/AHL70UbuFXgaL3rad72S8fZbzZTWM7fLSRpaDTMt%20JFHfBdzjZNq/HqtSUkUZ2HEsErv2wABqSKBudf4q027Kl3XhQngtDdvtJ9Nm9clMO68qbJtuxkiS%20K1+WeYd4dUsaetQuM3HeoWvLb80/qRat474s6v2Djuycf22PbdmtI7Kyi+WKMUHie1cfevTuScpO%20rZcSSLioj0IAgCAIAgI7iJ0sEkbXmNz2lokbm0nqF6nRhlDsWzDa7KO3fN+KljBaLl0bWPLSa0On%20xXs5VdQi5LEBAQvs7R8wmfCx8opR7mgkUxFCUoeqTWlSZDwIAgCAIAgCAIAgCAIDEOY+03A+XNJ3%20ja43XBr/AHqH9jNXoS+PS51O9X8LdMjFdbU2u7l7jCUFLic986+lHke2iW64tcjdbVjdQtZfJcE/%20qsp5T8XLvNs9cp+XIjR9q4e0r3MbXymj912nc9ruZbPcbWS0uoiWyRStLSCOnYu3t5trIt9VuSkm%20mVnBxepf/bX2j5Xz6/8AS2yIQ2MZH4m/mq2Jraiuk0Op1MguC3HdreMqcZlmFtt9x2d7a+0fFOBb%20e2DbYRcX5BE+5ytHrvrnjjpHcFwmXmXMiXVN+zl7ixCHSqGbKqZhAEAQBAEAQBAEAQBAEAQBAEAQ%20BAEAQBAUm6bRte7Wj7PcrWK8tn/NFMxr25UqA4Gh71nCcoOsXRg0nzb6W9mu2yXXELr92XeYs5y5%209s897vO9vwXWbd6vv2vLeXzI/Wvx9pUu4UJ9xoPlfCeY8UuHQ75tstvG35Lpg9SF3YQ5urD+Uu72%20/eMbLXkl5ux8TV3cKUDDrpwdcMc39pXysa3FxPZhie5ebvpRvRamdqLpQ3N7U/ThvnKmxbvyYybX%20sb6SQ21KXE7cxUfca7rWhXCbhvsYNws6vhX8C/Zxaas6r47xnY+ObZFtuzWjLS0iAa1jBiadXOzc%20e8rlJ3HJ1b1LqRc1gAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgMS5b7VcE5WWP%203ja45J2OD2zx1ieT/GLNOr4rZYe75OOmrc30vlxMJW1LiZDtOz7ZtFjFYbbbR2tpCA1kUbQ0YYY0%20zPeqE7kpOsnVmSRWLA9CAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgLTyDinHeQ2ptt4sIb%20yMigdIwF7a/qv+YfBWcbMu2JdVuTi+48lFNUZgXFPpx9u+Pb6/eGW772VrtVnDckvjhHc0kh/i5b%20XcfUWTlRSm6dtOZHGzGL0NpgAAACgGQWhJQgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAg%20LJybhPFeTwCHfdtgvmtwY6VgLm9fK44hT2Mm5ZdbcnHwMZRT4lfs+zbXs23Q7btVrHZ2NuNMNvC0%20NY0E1NAO0qGUnJ1fEybKxeAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAICG8srO9t3215BHc28%20gpJDK0PY4d7XVC9jJp1Tow0YPtnsX7Z7byQ8gttoYLzAxROJdBG79ZkR8gPwV/I3XJvW1buTcox+%20nHmYqEeNDPlrzIIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIA%20gCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAg%20CAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgC%20AIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCA%20IAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAI%20AgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAICh3vfNo2PbZtz3e7jsrCC%20nq3Epo0FxDWjtJc40AGJKAtmxe4HFN83WXaLG6lZu0UIuXbdeWt1Y3JgJ0iZsN3FA98eo01tBCAs%20Mu9niPuLtPHJH/8A/P8AK4rj91RHEWm4WgD5IWH7sM8T6sZk1zaNwdQAZ+gCAIAgCAIAgCAIAgCA%20IAgCAIAgCAIAgCAIAgCAIAgCAIDGPc+wjvfb3kUb5ZoSzbruWOW2mkgka+OB7mHVE5pNDjpNWnqC%20gMC9tfd7234/wHhmyb1v0Fnucu2WbCx4kMbHuha4Nmma10UJLSDSR7cMUBmHuZLe7Nx+65nsp/6j%20sUJvLmEGkV5Yw+e4glpUH9lqdE/NjsvKXBwGUbLu9hvWz2O77fJ6tjuEEd1ayZExzMD2kjoaHJAV%20iAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAID45zWtLnENa0Vc44AAIDFY/%20dPgcm4WliN00u3CT0NvupILiOzuZf+7t718bbWVx6BkhKAtfuJvR4Ndbfy6OT09lnvIbHktsT+y9%20K6d6cd60fdlhk06iPnYSDUtbQDP0AQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQEN9fWdhZzXt7Oy2s%207Zjpbi4lcGRsYwVc5znUAACA0F748z4vvkvBDtN5efjJOS7YWRSxX1pBcWZc9zpYmTshguGCT0/2%20jA6lRjQoDYnuJvR4Ndbfy6OT09lnvIbHktsT+y9K6d6cd60fdlhk06iPnYSDUtbQDP0AQBAEAQBA%20EAQBAEAQBAEAQBAEAQBAEAQBAYB707vsO3ca22LdttZusu47vY2W0Wk0z7eAbg+QyW8k8zMWRxmM%20udgagUpigMVkt9ztvqJ40/ed0hvtwdsN+6dsELLaGBge0taxpdJLp+bGSR3dTFAVHv0x8vKfayK3%20Djd/+6bWRoYafsYy105PWgZn3IDcKAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgLD7%20gf8AwPkn/pd7/wDt3oDWEO3cff8ASZHHuUMTbMca/EDytFLr8Prie0Gg9Uz6dPa5AZTtUN5ZfT9D%20DvokZc2/GC2/bIaSN0WJ1hxd94DA16oD79PUVzF7L8UbcBwkNoXNDjU+m+V7o/hoIp3IDYaAIAgC%20AIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIDA/fh+6M9n+Vu2wvF0LF9TH8whLh6%20/wAPR117kBTtuPbLlftpx/c79kF9sVobK52yBjy1zL6FoZBDG2NzD6wc70/S6nykICg+p98DfYzk%20wmrRwswwAgEv/HQFuffie5AbF2CK4i2LborkObcx2sLZg/FweI2h1e+qArkAQBAEAQBAEAQBAEAQ%20BAEAQBAEAQBAEBqD6nNxlseGbJJKCdjdyDbhyDAub+Ba50jhI0A1YXsZXvoOqAh+oySzn2r2+uIX%20RyiTl21Ot5mFrg6J7JTVjhm0+U4YZIC5fU++BvsZyYTVo4WYYAQCX/joC3PvxPcgNi7BFcRbFt0V%20yHNuY7WFswfi4PEbQ6vfVAVyAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIC0cq4jxzlmzybNyGxZuG%203SOa8wvLmEPZ8r2PjLHscO1rgUBaIfaX27hvNsvWbLF+L2fX+Bnc+V7gZKanSlzz67vI3zS6iKCi%20A8Djcu+86suVblE6Gy2CCaDj9rIC2R090A25vJGHFv7Nojja7H5nECooBmKAIAgCAIAgCAIAgCAI%20AgCAIAgCAIAgCAIAgCAIAgCAIAgPE8EM8MkE8bZYZWlksTwHNc1wo5rmnAgjMIDFds9qOA7ZJEbL%20bDHb28wubfb3XN1JYxTA6hLFZSSutWPDsQ5sYIOKA98/2nceSbPNxSzD4LfdQIN23EijYrF5/bti%20J+eWVgMbQMG6tTsg1wGR2FjaWFjb2NnEILS0iZBbQt+VkcbQxjRXoGiiAnQBAEAQBAEAQBAEAQBA%20EAQBAEAQBAEAQBAEAQBAEAQBAEAQBAEAQBAfHsZIxzHtD2PBa5rhUEHAggoDC9g9lva3j+/u3/Z+%20O21puxJcydpkc2NxBBMMT3OiiwP9W0ICTmHHJuX7jt203MLo+O7bdx7hub5AW/i5rfzW9rG04mMS%20Ukkfl5Q0Vq7SBmKAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAICl3Xatt3fbrjbdzto7ywumGO4tpmh%207HtPQgoDC7f2H9pYLO3sxx6KW1tZxdW8U81zOGSAObRvrSv8n7Qn0/krjSoBQFVyri55TebVsb7b%208NxfabmG9vgW+m25fa421pEyg/ZNfpkkdl5WtbWrtIGaIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIA%20gCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAg%20CAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgC%20AIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCA%20IAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAI%20AgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAIAgCAID//2Q==" height="299" width="901" overflow="visible"> </image>
          </svg>
        </div>
      </div>
      <div class="fig"><span class="labelfig">FIGURA 6.&nbsp; </span><span class="textfig">Comprobación del modelo MEF: a) 
        Comienzo de la formación de la zona de falla del suelo; b) c) y d) Suelo
        removido de la zona de falla, hasta 0,6 m de recorrido de la 
        herramienta, a través del bloque de suelo.</span></div>
    </article>
    <article class="section"><a id="id0x36c0780"><!-- named anchor --></a>
      <h3>CONCLUSIONES</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <p>El
        comportamiento de los esfuerzos de tracción del subsolador a lo largo 
        del recorrido a través del bloque de suelo muestra coincidencia con los 
        trabajos realizados en investigaciones previas. La fuerza aumenta 
        bruscamente al inicio de la interacción suelo-herramienta de labranza, 
        alcanzando su valor máximo de14,1 kN. Luego se estabiliza en valores un 
        poco menores que el máximo, a medida que se desplaza la herramienta, con
        tendencia al decrecimiento y disminuye a casi cero al final del 
        recorrido de esta.</p>
      <p>El modelo FEM muestra similitud con el modelo 
        analítico de Swick-Perumpral en el proceso de formación de la zona de 
        falla del suelo.</p>
    </article>
  </section>
</div>
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