<!DOCTYPE html>
<html lang="en">
<head>
<meta content="text/html; charset=UTF-8" http-equiv="Content-Type">
<style type="text/css">
/*Cambios
    
      -Ancho máximo del contenido 1160px para lectura en pantallas grandes
      -Centrar contenido
      -Margen interior a der y izq del 3%*/
body {
    font-family: "Roboto", sans-serif, "Montserrat", -apple-system, BlinkMacSystemFont, "Segoe UI", "Oxygen-Sans", "Ubuntu", "Cantarell", "Helvetica Neue";
    max-width: 1160px;
    margin: 0% auto;
    padding: 0 3%;
    background-color: #ffffff;
    scroll-margin-top: 100px;
}
/*Fin cambios*/

table {
    border-spacing: 0px;
    border-collapse: collapse;
    margin-bottom: 0px;
    background-color: transparent;
    overflow-x: auto;
    font-size: 12px;
}
th {
    font-weight: bold;
    border: 1px solid #0d7f54;
    padding: 8px;
    color: white;
}
td {
    border: 1px solid #0d7f54;
    padding: 8px;
}
tr {
    background-color: transparent;
    border-top: 1px solid #0d7f54;
    border-bottom: 1px solid #0d7f54;
}
tr:nth-of-type(2n+1) {
    background-color: transparent;
}
tr th {
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th, td {
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p {
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    font-size: 14px;
    text-align: justify;
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.box1 p {
    margin: 20px 0px;
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    text-align: justify;
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p.address-line {
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    margin-bottom: 0em;
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ul, ol {
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ul.nav {
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li {
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    margin-bottom: 0em;
    font-size: 13px;
    text-align: justify;
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}
li > p {
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}
a {
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    /*Añadido color de los link*/
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}
a:hover {
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h1 {
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    /*Cambio de lo color  y tamaño de fuente*/
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    font-weight: bold;
    margin-top: 40px;
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h2 {
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    font-size: 16px;
    /*Cambio de lo color*/  
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    font-weight: bold;
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h3 {
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    /*Cambio de lo color*/  
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h4 {
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    /*Cambio de lo color*/  
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    font-weight: bold;
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    margin-bottom: 1em;
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h5 {
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    text-align: left;
    font-size: 16px;
    /*Cambio de lo color*/  
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    font-weight: bold;
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    font-size: 13px;
    text-align: center;
    line-height: 20px;
    font-weight: bold;
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.email {
    margin: 5px 0px;
    font-size: 12px;
    text-align: center;
    line-height: 20px;
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.aff {
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    font-size: 13px;
    text-align: justify;
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.history {
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    font-size: 13px;
    text-align: justify;
    line-height: 20px;
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p {
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    font-size: 13px;
    text-align: justify;
    line-height: 20px;
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.citation {
    margin: 10px 0px;
    font-size: 13px;
    text-align: justify;
    line-height: 20px;
}
.copyright {
    margin: 10px 0px;
    font-size: 13px;
    text-align: justify;
    line-height: 20px;
}
.top {
    height: 0px;
    width: 45px;
    text-align: center;
    color: white;
    font-size: 12px;
    background: #0d7f54;
}
.zoom {
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    -webkit-transition: width 1s, height 1s, -webkit-transform 1s;
    -o-transition: width 1s, height 1s, -o-transform 1s;
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.zoom:hover {
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.menulevel1 {
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    display: block;
    font-size: 14px;
    line-height: 20px;
}
.menulevel2 {
    margin-left: 2em;
    display: block;
    font-size: 14px;
    line-height: 20px;
}
.menulevel3 {
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    font-size: 14px;
    line-height: 20px;
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.active {
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    padding-left: 2px;
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    font-size: 10px;
    color: white;
    background: #0d7f54;
    border-radius: 15px;
    text-align: center;
}
.boton_1:hover {
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    text-decoration: none;
}
.box {
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    background: #0d7f54e8;
    margin: 0 0 25px;
    overflow: hidden;
    padding: 8px;
    border-radius: 7px 7px 0px 0px;
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    -moz-border-radius: 7px 7px 0px 0px;
    -o-border-radius: 7px 7px 0px 0px;
    -ms-border-radius: 7px 7px 0px 0px;
    border: 1px solid #0d7f54;
    margin-top: 30px;
    text-align: center;
}
.box1 {
    margin-top: -30px;
    overflow: hidden;
    padding: 10px;/*border-radius: 0px 0px 0px 0px; 
          -moz-border-radius: 0px 0px 0px 0px; 
          -webkit-border-radius: 0px 0px 0px 0px; 
          border: 1px solid #0d7f54;*/
}
.box2 {
    /* margin-top: -10px; */
    overflow: hidden;
    padding: 10px;/*Eliminar borde de todas las cajas y los margenes
      border-radius: 0px 0px 0px 0px; 
          -moz-border-radius: 0px 0px 0px 0px; 
          -webkit-border-radius: 0px 0px 0px 0px; 
          border: 2px solid #0d7f54;
      margin-top: 2em;
      */
}
nav {
    margin-top: 15px;
}
/*Añadido:
      -Borde solo a las cajas del resumen y datos de copyright
      -Poner magen especifico en dichas cajas y la que contiene los agradecimientos y las referencias
      */
      
header .box2 {
    border-radius: 0px 0px 0px 0px;
    -moz-border-radius: 0px 0px 0px 0px;
    -webkit-border-radius: 0px 0px 0px 0px;
    border: 1px solid #0d7f54;
    margin-top: 30px;
    padding: 0px 10px;
}
#article-back {
    margin-top: -20px;
}
/*Fin de añadido*/
    
.tooltip {
    position: static;
    display: inline-block;
}
.tooltip-content {
    display: none;
    position: absolute;
    background-color: #f9f9f9;
    max-width: 50%;
    min-width: auto;
    box-shadow: 5px 5px 16px 20px rgba(0,0,0,0.2);
    padding: 12px 16px;
    border-radius: 15px;
    text-align: justify;
    z-index: 1;
    color: #000000;
}
.outer-centrado {
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    right: 50%;
    position: relative;
}
.inner-centrado {
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    right: -50%;
    position: relative;
}
.clear {
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}
.tooltip-fig {
    display: none;
    position: relative;
    background-color: #f9f9f9;
    min-width: auto;
    box-shadow: 5px 5px 16px 20px rgba(0,0,0,0.2);
    padding: 12px 16px;
    right: 30%;
}
.tooltip:hover .tooltip-content {
    display: block;
    position: absolute;
}
.tooltip:hover .tooltip-fig {
    display: block;
    position: absolute;
}
div.def-item {
    border-spacing: 0.25em;
    font-size: 14px;
    text-align: left;
}
div.section, div.back-section {
    margin-top: 1em;
    margin-bottom: 0em;
}
div.panel {
    background-color: white;
    font-size: 100%;
    padding-left: 0.5em;
    padding-right: 0.5em;
    padding-top: 0em;
    padding-bottom: 0em;
    margin-top: 0em;
    margin-bottom: 0rem;
    position: relative;
    top: 0px;
    left: 0px;
}
div.blockquote, div.verse, div.speech {
    margin-left: 4em;
    margin-right: 1em;
    margin-top: 1em;
    margin-bottom: 1em;
    background: transparent;
    text-align: justify;
}
div.note {
    margin-top: 0em;
    margin-left: 1em;
    font-size: 85%;
}
div.fig, div.disp-formula, div.table {
    text-align: center;
    margin: 15px 20%;
}
/* Evitar que aumente la altura de linea al usar superindices y subindices */
sup {
    vertical-align: top;
    position: relative;
    top: -0.3em;
}
sub {
    vertical-align: bottom;
    position: relative;
    bottom: -0.3em;
}
/*Poner linea inferior en los encabezados de los apartados*/
h2, h3 {
    display: inline-block;
    padding: 0 0 5px;
    border-bottom: 3px solid #0d7f54;
}
header h2 {
    display: block;
    border: 0;
}
/*Movido al final*/
.textfig {
    display: inline;
    text-align: center;
    font-size: 12px;
}
.orcid {
    text-align: center;
    color: white;
    font-size: 7px;
    vertical-align: middle;
    border-radius: 50%;
    border: 2px solid #8CC657;
    background: #8CC657;
}
</style>
<title>Surface Engineering. Application on Wear</title>
<meta content="Tribology, Wear Resistance, Design, Surface Treatment, Picklingtribología, resistencia al desgate, diseño, tratamiento superficial, decapado" name="keywords">
<meta content="Francisco Martínez-Pérez" 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">
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</head>
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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. 4, October-December, 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/v31n4e10">https://cu-id.com/2177/v31n4e10</a></div>
  <div class="toctitle2"><b>VIEW POINTS</b></div>
  <h1>Surface Engineering. Application on Wear</h1>
  <div>&nbsp;</div>
  <div>
    <p><sup><a href="https://orcid.org/0000-0002-8947-7870" rel="license"><span class="orcid">iD</span></a></sup>Francisco Martínez-Pérez<a href="#aff1"></a><span class="tooltip"><a href="#c1">*</a><span class="tooltip-content">✉:<a href="mailto:fmartinezperez2013@gmail.com">fmartinezperez2013@gmail.com</a></span></span></p>
    <br>
    <p id="aff1"><span class="aff"><sup></sup>Universidad Tecnológica de La Habana-CUJAE, Centro de Estudios de Ingeniería de Mantenimiento, Marianao, La Habana, Cuba.</span></p>
  </div>
  <div>&nbsp;</div>
  <p id="c1"> <sup>*</sup>Author for correspondence: Francisco Martínez-Pérez, e-mail: <a href="mailto:fmartinezperez2013@gmail.com">fmartinezperez2013@gmail.com</a> </p>
  <div class="titleabstract | box">ABSTRACT</div>
  <div class="box1">
    <p>In
      this article, engineering surface application is introduced as a new 
      concept. The basis of this concept is the understanding that different 
      surface technologies are applied to design of existing engineering 
      components but, it is necessary to know that surface engineering would 
      cover only part of the design of the component, the surface treatment to
      be applied should also be known. This is because, surfaces with a high 
      index of hardening due to deformation, are resistant to severe adhesive 
      wear, abrasion and pickling, but they should not have the same 
      resistance to other types of wear. It means that a correlation must be 
      established between the surface quality and the pickling resistance. In 
      this article, it is shown that the use of high compatibility metallic 
      materials is preferred and that a correlation can be established between
      the surface quality and the pickling resistance by a simple number. The
      selection of materials and the methods of obtaining the engineering 
      surfaces for tribological applications, depends to a large extent on the
      mechanism and particular type of predominant wear. Therefore, the 
      selection of materials resistant to wear will be analyzed depending on 
      the type of wear in question.</p>
    <div class="titlekwd">Keywords:&nbsp; </div>
    <div class="kwd">Tribology, Wear Resistance, Design, Surface Treatment, Pickling</div>
  </div>
  <div class="box2">
    <p class="history">Received: 12/3/2022; Accepted: 14/9/2022</p>
    <p><i>Francisco Martínez-Pérez</i>,
      Profesor Titular, Universidad Tecnológica de La Habana, Centro de 
      Estudios de Ingeniería de Mantenimiento, Marianao La Habana, Cuba, Tel. 
      78 335577, e-mail: <a href="mailto:fmartinezperez2013@gmail.com">fmartinezperez2013@gmail.com</a>.</p>
    <p>The author 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="#id0x7a6af80"><span class="menulevel1">INTRODUCTION</span></a></li>
        <li><a href="#id0xc06fd80"><span class="menulevel1">DEVELOPMENT</span></a></li>
        <li><a href="#id0x10ee7700"><span class="menulevel1">MATERIALS AND METHODS</span></a></li>
        <li><a href="#id0x10edde00"><span class="menulevel1">CONCLUSIONS</span></a></li>
        <li><a href="#id0x1054fa00"><span class="menulevel1">INTRODUCCIÓN</span></a></li>
        <li><a href="#id0x10551b00"><span class="menulevel1">DESARROLLO</span></a></li>
        <li><a href="#id0x5e2bc80"><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="id0x7a6af80"><!-- named anchor --></a>
      <h3>INTRODUCTION</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <p>Recognizing
        that the vast majority of engineering components could be degraded or 
        fail catastrophically in service due to surface-related phenomena, such 
        as wear, corrosion or fatigue, led in the early 1980s to develop the 
        interdisciplinary topic of surface engineering. The advancement of this 
        development was stimulated by the increasing use of a wide range of 
        surface technologies: laser beam and electron beam processes, plasma 
        thermochemical techniques and novel engineering coatings (for example, 
        electric plating without nickel), ion implantation and, more recently, 
        duplex methods of surface modification. However, it is within the 
        traditional technologies of thermal treatment of surfaces, such as 
        hardening by tempering, nitrating and carburization, where the origins 
        and fundamental principles of surface engineering can be found.</p>
      <p>An
        engineering component generally fails when its surface cannot 
        adequately withstand external forces or the environment to which it is 
        subjected. The choice of a surface material with adequate thermal, 
        optical, magnetic and electrical properties and sufficient resistance to
        wear, corrosion and degradation is crucial for its functionality.</p>
      <p>"Surface
        engineering includes the application of traditional and innovative 
        surface technologies in components and engineering materials in order to
        produce a composite material with properties not obtainable by the 
        surface of ordinary materials." Frequently, the different surface 
        technologies are applied to designs of existing engineering components 
        but, ideally, surface engineering does not include that design knowing 
        the surface treatment to be applied.</p>
      <p>This innovative 
        multidisciplinary branch of engineering, through a final tribological 
        analysis of the phenomena of wear and other superficial damages, such as
        corrosion, and the use of science of materials, allows optimizing the 
        surfaces exposed to these processes in valves, evaporators, heat 
        exchangers, pumps, centrifugal compressors, parts and mechanical parts, 
        etc., in order to significantly prolong their service life.</p>
      <p>The types of wear most frequently present in industrial or service processes are the following:</p>
      <div class="list"><a id="id0x7af2c80"><!-- named anchor --></a>
        <ul style="list-style-type: none">
          <li>
            <p>Abrasion </p>
          </li>
          <li>
            <p>Adhesion</p>
          </li>
          <li>
            <p>Pitting corrosion</p>
          </li>
          <li>
            <p>Fretting Erosion</p>
          </li>
          <li>
            <p>Impact Cavitation </p>
          </li>
        </ul>
      </div>
      <p>Generally,
        an interaction of these mechanisms occurs and this is how in a suction 
        system, it is possible to find erosion and cavitation, thermal fatigue 
        and erosion in the blades of a steam turbine or abrasion and corrosion 
        in a pulp pump screw affected by the presence of chlorine ions.</p>
      <p>Corrosion
        is itself a complex interaction of physical-chemical variables, which 
        always requires a rigorous analysis due to the different ways in which 
        it occurs, such as corrosion under tension, differential aeration, 
        vibration-corrosion, etc.</p>
      <p>Once the specialist engineer has 
        determined (diagnosed) the types and forms of wear present in an 
        equipment or component, he uses materials science to determine which 
        alloy or coating, be it metallic, polymeric, ceramic or a mixture of 
        them (composites), allows prolonging its duration in service. The 
        engineer must also determine the procedure by which the alloy will be 
        applied and its resistance to the type of wear present.</p>
    </article>
    <article class="section"><a id="id0xc06fd80"><!-- named anchor --></a>
      <h3>DEVELOPMENT</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <p>The
        selection of appropriate materials for the preparation of components 
        for friction pairs is often limited by factors that have little to do 
        with Tribology, such as their cost, for example. The weight is a factor 
        that can be important and also the resistance to corrosion. The 
        mechanical properties, the rigidity and the tenacity are of great 
        importance, also, in the engineering applications. Although these 
        factors may limit the range of materials to be used, they also serve to 
        establish a spectrum of feasible solutions. The most convenient will 
        always be the most comprehensive selection, for which it is convenient 
        to use selection maps, such as those by <span class="tooltip"><a href="#B6">Kostetskii (1972)</a><span class="tooltip-content">KOSTETSKII, B.I.: <i>Friction, Lubrication and Wear in Machinery</i>, Inst. Army Foreign Science and Technology Center, Charlottesville Va, 1972.</span></span>; <span class="tooltip"><a href="#B1">Ashby &amp; Jones (2012)</a><span class="tooltip-content">ASHBY, M.F.; JONES, R.H.D.: <i>Engineering materials 1: an introduction to properties, applications and design</i>,
        Ed. Elsevier Science, Second Edition ed., vol. 1, United Kingdom, 
        Department of Enginnering, University of Cambridge, Elsevier Science, 
        United Kingdom, 2012, ISBN: 0-08-096665-9.</span></span>; <span class="tooltip"><a href="#B3">Chowdhury (2019)</a><span class="tooltip-content">CHOWDHURY, M.A.: <i>Friction, Lubrication and Wear</i>, Ed. BoD-Books on Demand, 2019, ISBN: 1-78984-287-5.</span></span>.</p>
      <p>However,
        most of the properties listed, except perhaps the corrosion resistance,
        are properties of the volume of the material and this gives the 
        possibility of concentrating on varying surface properties of greater 
        importance to Tribology, through a spectrum of different methods 
        feasible to employ. The modification or coating of a surface, in order 
        to achieve combinations of properties on the surface and the sub layer, 
        belonging to the volume of the material, leads to the so-called surface 
        engineering.</p>
      <p>Wear, as an adequate function factor of engineering 
        systems, is obvious in the design. However, the wear leads to major 
        expenses in maintenance, due to costs for replacement of elements, 
        production capacity, energy efficiency losses and consequently of the 
        machines. All this, according to <span class="tooltip"><a href="#B11">Rabinowicz &amp; Tanner (1966)</a><span class="tooltip-content">RABINOWICZ, E.; TANNER, R.I.: “Friction and wear of materials”, <i>Journal of Applied Mechanics</i>, 33(2): 479, John Wiley, 1966.</span></span>; <span class="tooltip"><a href="#B12">Ron &amp; Conway (2002)</a><span class="tooltip-content">RON, R.; CONWAY, J.J.M.: <i>Friction and Wear of Sliding Bearings</i>, Ed. Glacier Vandervills Inc, vol. ASM Handbook, USA, 2002.</span></span>; <span class="tooltip"><a href="#B7">Ludema &amp; Ajayi (2018)</a><span class="tooltip-content">LUDEMA, K.C.; AJAYI, O.O.: <i>Friction, wear, lubrication: a textbook in tribology</i>, Ed. CRC press, 2018, ISBN: 0-429-44471-0.</span></span> can represent more than 2% of a country's GDP.</p>
      <p>The
        designers or maintainers must take into account two very important 
        considerations: to establish the magnitude of wear that will occur in 
        service and knowing this, take the necessary measures for its reduction,
        taking into account, of course, the economic aspects they imply. In 
        order to establish the amount of wear, which can be calculated, the 
        mechanism of wear that will take place must be known; this can be done 
        through specialized calculation (<span class="tooltip"><a href="#B4">Hebda &amp; Chichinadze (1989)</a><span class="tooltip-content">HEBDA, H.; CHICHINADZE, A.: <i>Manual de Tribotecnia</i>, Ed. Mashinoestroienie, vol. Volume 1, Moscow, Rusia, publicado en idioma ruso, 1989.</span></span>; <span class="tooltip"><a href="#B8">Martínez (2010)</a><span class="tooltip-content">MARTÍNEZ, F.: <i>``Tribología Integral,</i> Ed. Editorial Noriega, México, DF, 2010, ISBN: 978-607-05-0271-2.</span></span>; <span class="tooltip"><a href="#B5">Hutchings &amp; Shipway (2017)</a><span class="tooltip-content">HUTCHINGS, I.; SHIPWAY, P.: <i>Tribology: friction and wear of engineering materials</i>,
        Ed. Butterworth-Heinemann, United Kingdom, University of Cambridge, 
        Department of Materials science and Metallurgy, 2017, ISBN: 
        0-08-100951-8.</span></span>, as well as determining the factors that affect this, which can be done through physical mathematical modeling (<span class="tooltip"><a href="#B13">Stolarski, 1990</a><span class="tooltip-content">STOLARSKI, T.: <i>Tribology in machine design</i>, Ed. Industrial Press Inc., USA, 1990, ISBN: 0-8311-1102-X.</span></span>; <span class="tooltip"><a href="#B8">Martínez, 2010</a><span class="tooltip-content">MARTÍNEZ, F.: <i>``Tribología Integral,</i> Ed. Editorial Noriega, México, DF, 2010, ISBN: 978-607-05-0271-2.</span></span>).</p>
      <p>The various possible processes to apply must be considered as an essential part in the design of tribological systems. In <span class="tooltip"><a href="#f1">Figure 1</a></span>, an algorithm is shown that shows the sequence of steps to follow in the design of a tribological system. </p>
      <div id="f1" class="fig">
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lp3KB85P%20f5+W6p3Oh9J5z936fUDntY/2qU90buuKh9z222blrSPbIFxmu63LbbJdrnd7z0Pj5bKsI+uOuvL3%20m9nmODfj/nEewjZkO0y2x2OoXH3j/rrOe+q+0hnX0/0si8YfAppHXrdFrN7yO6yrvG28UUJ2xQ0X%202ihvoDctHw7jDRb5UCqv9tbrjbeujMvVTuO7r/R73PwUTnsc9xN+yhbpFB4nt/Ez25fLtSYxLaIN%20SnstPKZ1uNxrHLGOvI4i2hgdSDqkK9thsu3Oe8+cV7+430q7zvvotPdHT/eJc1Eb6x8Cmofnsgqr%20t/wO6yofMnEe8ZBNianOe1WaLqc+wbkBCgXnBigUnBugUHBugELBuQEKpVXn1ofWPQCCIP3IqmwU%20hh955JHq7rvvrr761a8iI5J77rmnuu6666p/+Zd/aaxHhit33XVXdf/999ceuBq8xp4YfM3SdMC5%20JwbOPR1w7gmgH6O+9rWvVffdd1/1hje8obr55ptnL9Hvvffe6tFHH61bQWng3BPhta997WPemPn9%203//9uhZKZNTOzdc+IV3IOl9tNCRG7dxefIC2GPMZw7kBFoBz9wTODW2Dc/fEWBZ+k78Lzl+0MI/8%20pQYZj73qOi1rN9aDviljOWNNjHqnxrLwdjB/O4iw3bnMX6Bg525yTqVdbudWmSWS+/vbRmL7+O0j%20sb90x3bCz3j5KJ3rpVPfYuJvMnG5kE35W0+GiuyOto+JcVpdM4aFt42W6BR2POE6PVWup3Daeacl%20dlLhrxPK366iMjmSntFZXed0RGVRj9upTE+PFW2TvPWtb5093Te/qnC7nB4yY7GziXFaXTPmhYdx%20gHP3BM4NbYNz9wTODW2Dc/cEzg1tg3P3BM4NbYNz9wTODW2Dc/cEX/uEdCVjhLAHUCg4N0Ch4NwA%20BYJjAxQIjg1QIDg2QIHg2AAFgmMDFAiODVAgODZAgeDYAAWCYwMUCI4NUCA4NkCB4NgABYJjAxTI%202o7Nf8hEkG7E/5hhE9Z27CYDEARpRzZlrZ6vfvWrtx4QAJbTqWNfccUVODZAB3Tq2Ht7ezg2QAfg%202AAFgmMDFMgkHNtjWhb9GkD/slb/hjb/29lVkf5N+y7C/6p2HXZph/9vdfwXv/p3uP7XuauwyJ5l%20Ovwvf3fJNvqG/n+8Nbdt5rdWzz4jdj6Q8w5Z/t/NqxL/v3Ubji3WWbdtLqcmmtbFZavatajdKrbu%20+txsuteijzO8DrJvGxvX6jkUxxayQYffDuAbOB9WPdVX9Yoajvb5UMS8x/LTdbGNdEmnLwSNo7T0%20yx7lbYP1RJtE7CvyeHYW10c7HGndJzuW2+a+kdhG88nzdl/jvJ6yXeIyja9+cU2kU2R9+RnXweL5%206Km5Slderzwn19sO63A7lWVbbGPUrfYSt81r2wVeh01Zq+fQHFubYXu8efkZN8Wb5T65zrhcbexA%20lozLfDCEyuz4zsdnPlwRlVmX7Whqr7I4Rhw/zsvlcX7GZdYb85ZIbiecjmOqXV6P+HQf2a45uDzq%20UDrmjfdDRDuE2rtOOK0+QvmY9tMSbYlrm8fpAtu0KWv1HNpL8bjgTudnPBwqm+cAUZfLNU9trg9D%20U3uXRb1Kb+LYWZfzTe01/jzHVrlEuG+cn3GZ9eZ8JrcTTse10Zgqnzd/P7WusU3cY+mL81Pe/ebN%20Kdsv/V4HozJJ1iXU1uVx7DxOF8gO27IJa/UcyptnkVjmtDeoSWK7iDYxtvNB0iHQxirtjRY+HK6T%20Y0mUFrIhHsaow+2F0m7jdMz7uai9DqfLTLQlzi2ivNcqrpnr4qEXyntOsV1TWsR8XE/bozJhW13v%20tIjpuNaes+uE661XxDnE/VDaddZju6wnStdsO+5aPfuM2EPHjmfijQ+LiY4Y07tAF8UYwbEHgtYk%20RgfWaXUcSXe5XvEVyxjZdj3W6oljA3QDjg1QIDg2QIHg2AAFgmMDFAiODVAgODZAgeDYAAWCYwMU%20CI4NUCCdOvZll112bkAEQdqXTVmr52c+85nqOc95TqMBCILsVvQKeVN4TT0BTp8+Xb3lLW+pczAF%20cOwJcOrUqero0aN1DqYAjj0BcOzpgWNPABx7euDYE+D222+vrr322joHUwDHLpSvf/3r1fXXX1+9%20//3vr6655prq537u56q/+Iu/qD7wgQ9UX/rSl+pWUCo4dsHImfOvUC655JK6FkoGxy6YW2+9tTpw%204MB5jv23f/u3dS2UDI5dOK985SvPOfXzn//8uhRKB8cunK985SvnHPtTn/pUXQqlM2jH3t/fP3co%20EaQU6YJBO3bToiDI2KULRuHYACWAY9fg2FASOHYNjg0lgWPX4NhQEjh2DY4NJYFj1/Tp2B57FRv0%203yL1b3M3/Zet0r/rf/eq//Esltm+Dfrvoh7HKO//cb0t83T4v3OODdncld2DXp0uF6KJeGh1iJuc%20T/8DW069CZ6b9O7asbtatybHFrsYf9H/yu7zXGyKbO7K7kGvTpcL0UQ+tLLFTux/dB8d27bqqXof%20TD/j/88WzsupnfaYKsuvAjxmbqvxlFa5x7It7hNti0/riHPVuJpX7CvdLpfILo0V+4lok9rbVj89%20rpGePC+VWb/Koi3GetxH46qP9yLPS0/1kZ5sQ1do3K7G7meGK9LlQjThQ2Fsj8UH3YfJtuYDGvso%20b3I7oTIfQkk80DroKjO2z2XWJ2I72yDinLJtGZfZBs81ts1rlG2KeUtEea9fXg9fUqKpn1HaNrrc%20l4/yFuvtC9vRBd2MsiFdLkQT8dDq0OlQROdZx7FNPFi5nVBZPNDRhkVOI6JtLst1sY0Pv2ga02XZ%20saOOaJ9YZmMT1utxvB7RpjimsL5so/R4P/L8rLcvZPOiddgl3YyyIV0uRMZjN9kQy5zWgdFTB1lP%20HTTXxXYRHUCXS9xHuCxi3T7MbiOJfd1OEu2Rc0Q7Y1s5gclzkaiv00JP6bQeo3LPK87PddlB3UbI%20BvezA8b+Jtrs+thGdpmmtn3R5fj9zXIF+t4IGCfxkhoSOHYNjg3roFcD+RXBkMCxa3BsKAkcuwbH%20hpLAsWtwbCgJHLsGx4aSwLFrcGwoCRy7BseGksCxa3BsKAkcuwbHhpLAsWtwbCgJHLsGx4aSwLFr%20cGwoCRy7BseGksCxa3BsKAkcu8YLgSAlSRcM2rHf+ta3Ni4MgoxV9vb26tPdLoN27DvvvLP62Mc+%20Vt10003IDuQf/uEfql/+5V+ubr755sZ6pB258cYbq3vuuac+1d0waMeG3XPgwIE6BSWDY0+MgwcP%201ikoGRx7YuDY0wDHnhg49jTAsScGjj0NcOyJ8YQnPKFOQcng2BNAv+b63d/93erd7353ddFFF1V/%20+Id/WL3tbW+rbrnllroFlAaOPQE+8YlPNH5Y4u67765bQGng2BPgwQcfrF7xilec59RvfvOb61oo%20ERx7InzkIx+pnvjEJ86c+pJLLqn+/d//va6BEsGxJ8SP/diPzRz7qquuqkugVNZy7P39/fNeziEI%200q2s+m+A13LspoEQBOlWVmEjxwaA7sGxAQoExwYoEBwboEBwbIACwbEXsKn9Z86cqY4fP17nFnP4%208OE6dT6Lxj5y5EidWo1jx47VqWER56H1inPWr2rm/brm0KFDdQrmsY7/rXXK11HcBfEwtGWXD2Lb%20jr0qQ3XoJhZdVlpPWI91/K8Yxxa2LdopZ1Q7O4SdTvk4F6V1EGOZsC47ttJ29qb2QmNINK76uY2e%20KnNeaemULXEuqredeipvPRKN73rhciF9ccyI+0a7vTYqk6g+6vP4wmvovJ4uM56HdUinif2twzgf%207TBNc4rrKJT22G6rp4hptZE+4bnaRuvQU+KyoRDtWsZaVq+juAu8kUa2+fBoI5W2vS63Q8TNjM94%20EIXbW5/QuD4oItvhPi7PY6ivDlfsl9taR37mebi9kA7ptVPEubjMh9r9sj61c1l0LtWr3PPO62fi%20nPJaWq8dNZLnHcfOc/IchPLu6/HiHD2O+9sG4X75KbLOISCboo2LWK1VzTqKuyAeIiHbfDAiKs8H%202PPIz7yRbm9nFGobD1fGfbKz+ilkT7Q/tzXOW+e8eQilZZcPs9uY6ARqE51YqC6WxToR816nOL7Y%201rGF7TB5TllvtiHvjcbN+oX0qK3zsU0eYwjIvmjjIlZrVbOO4i6Ih8h26QDEA+Ryt/Vhz5vvdnlD%20nZde95mn02Sn0zMeLveL9s/T5fFdrrx0Oa+07LKjOi2iLtXFtRG2Rzgt/U06PK6xXVGHiHNyG+P+%20ssX2GOuJdph59gjpVLpJl+pU7nUR7q98HtNPk/N9I3tWtWkty9dRPHTiQYjpKZEdD85naOuDYy9B%20t7VvcD+nyJTnPkZwbIACwbEBCgTHBigQHBugQHBsgALBsQEKBMcGKBAcG6BAcGyAAsGxAQqkdcdG%20EKQ/WQUcG0FGJHt7e7U3Lmaj19W/8Ru/UT3lKU+pLr30UmRE8vSnP7168pOfPHs21SPDFfnbjTfe%20WHvgcjZy7Pvvv7+66667qq9+9avIiOSBBx6ofvInf7L6xje+0ViPDFfkbw8//HDtgcvZyLFhvHzX%20d31XnYKSwbEnxsGDB+sUlAyOPTFw7GmAY08MHHsa4NgTA8eeBjj2BDh79mx1zz33VI888sjMsb/1%20rW9Vd999d/Xggw/WLaA0cOwJcMMNN1SXX355deWVV1YHDhyofuInfqL60R/90erTn/503QJKA8ee%20AJ/73OeqZzzjGed9gul5z3veLIJDmeDYE+G3f/u3z3NsRXEol1E79v7+/nmHFUHaEP0nkbExasdu%202gQEaUPGRhGODdAWOHYP4NjQNjh2D+DY0DY4dg/g2NA2OHYP4NjQNjh2Dwx90fVrEtu4jq27npP0%20xX9aPw+1W/SvdVU/tf8lrjnvej+6AMdumU3+efrhw4fr1GKWzT3qWcWx5bSLHFt1OPY4wLFbJjq2%20nevQoUOzp1BUd95zsUPmvrm/n/4ARb5EYj73cV1sI6e1DX5qTJXrKcd2f+U1rsQ61McXg8tss+fk%20NrHtkJGdXosxMT6LA2NY9Og4PuQiRz8fdjHPsY3bRWf1WsR2Tf3VJv+IYGLElk7bZIk2x1cDqlN5%207G+9Giv2i5fAGPDcx8b4LA6MYdGjc4noYDEdn3aa6KRKZ4e3Y0cni33mObaczFE+ts+OqTbRIbNj%20u6/LY//YVnrc1rZ6rkNHdo7F1sj4LA4MfdFzZIy2RofSYVedHDWmhdJyErXXU3k5mcv1dDunjRzL%205RLp0FN2WYedz7itsT3CdX6FYP3WZTF2YuE2ItoxdPKcxsL4LA6MddFhPODYPYBjQ9vg2D2AY0Pb%204Ng9gGND2+DYPYBjQ9vg2D2AY0Pb4Ng9gGND2+DYPYBjQ9vg2D2AY0Pb4Ng9gGND2+DYPYBjQ9vg%202D2AY0Pb4Ng94EVHkLZlbODYCLJE9vb26hM3Hop7Hfsf//Ef1enTpxFkY7njjjuqhx56qD5R46Q4%20xwYAHBugSHBsgALBsQEKBMcGAAAYCQRtAACAkUDQBgAAGAkEbQAAgJFA0AYAABgJBG0AAICRQNAG%20AAAYCQRtAACAkUDQBgAAGAkEbQAAgJFA0AYAABgJBG0AAICRQNAGAAAYCQRtAACAkdBJ0N7f368u%20uOACBEEQBClC9vb26gjXLa0F7X/913+tPv7xj1fXX39944QRBEEQZMzSB62N+uu//uvVlVdeWV10%200UWDmCgAAMA2DCGWtTbq1VdfPXv74IlPfOIgJgoAALANQ4hlrQftiy++eBATBQAA2IYhxDKCNgAA%20wAoMIZYRtEfA8ePHz63doUOHzuXPnDlTt2gfjXfs2LE6N3xkaz5rR44cma1fW7Stfx10NnxmVjkr%20J0+enLXTs2vyeW7au3Vpy0cOHz48k10wpPMCq6EzFaUPCNo7Zp4jeu7rOrzaS2eX6KLLc5DtYw/a%20u0T6h7oesmtZMFBQi+eqjaAtGzYJmrvYuz5e2K5LX0F7yGd36OhMRekDgvaOWeaITWsQ18aXpi+d%20KL5k8xjxklO50tkGXV5R17zLzP0tHlNpjRPtUjpiOyTLXpzEtlmXxlR/BxKJ7RAu94sLt4nENTFq%20G/UI5d0/26y86yQaL9pk8Z4t0y+J6x4DSxxrGdkuIz2xXLLsHEhkh+elZ7Q52ivi2FrjJvKcbYPK%20lbYNXm+XG+9dtDXPQ7hOYl0mrq3Jc9e4mTi/fL6FyvO8Y5+sU3a7ThLJ827C/bwveQ620fOViNhO%20afVddHZzXUR5zTmO4XHj/KaA59rnnFsblaDdjOq1BnISOUK8AOxosUy61CeSx1B79VN/o3rrUft4%20AdlBY1mkaQ5qH+2wA5uYFmqby0zua/uNLsF8CStvm9w/ztdlvoSyThHX0msQdWgM1+sZbcg2qW/c%20JxH1ey9tj1GZ9WSbRbQh02Szx4l9lM77l4m2CuuWTUb1tlX1cf5COnKZadoj6ctlItvbtHdRn+rz%20/Fxv+/P4cS7G43j9Y3/R1EdtvO8eIyK7XK++0mHymud5Z9Q/2hNtaVqjPFY+VybOQagutvW84rpE%203XltRZ5bqWjeUfqgtVEJ2s3ENZCzROdposkZ8hhNDhz7KR2dfxlNc5D+aGt0XDl3Hn8Z0u/+2X6t%20S7xkRGzTdGkorTLPc9maWMc8rM/rkG1SXVwP0aQ/2iji2ja1aZq7aZqTyH2a9i8TbRXew3h5Rz0a%20e55dTTTNbZ5dubxpntG+eWukeu9JHj/PV3iP1Vaob7RD6TxOHCO3z9hm68g2zFuPiG2U5Lbqb91N%206+Hxow1Cec9BKB/3PZPbN+1tnlupaN5R+qC1UQna5+O5x4Nth8wO4UtENDlDHkP987rGfnbeqFd9%205jlq1GcdTXaqzI6rdtmGpotEqDzar3zs67zts/3Oe+y4Lnmdlq2JyOOKON/YVvk4H+vS/L0uWb/S%206pfn4TXLayg0RhwnY5uzjojGjevbRBxH7fMai6xH6WibbIjzjUR9Wh+3bbIrl3vvfF7VN+aF8rGP%20dETb8tpaR2yjdLRf+tx+HtIR/UB9oh3q7/nGts7H8eath8n2qX/cH6H+88rz2J6b6qTXtnqt8t67%20verinPPaCussHc07Sh+0NupUgzZsjy6reLlmmi4NgG2JgSmy6Cz2jXxgCsFyKAwhlhG0YXAQtKFr%20FPiazpTK80+xQ2LRT+qwe2Ick/QBQRsAAGAFhhDLCNoAAAArMIRYRtAGAABYgSHEMoI2AADACgwh%20lhG0AQAAVmAIsYygDQAAsAJDiGUEbQAAgBUYQiwjaAMAAKzAEGIZQRsAAGAFhhDLCNoAAAArMIRY%201tqor33ta6vnP//51YEDBwYxUQAAgG0YQixrbdR3v/vd1ete97rqp3/6px8zUQRBEAQZu/RBa6N+%2085vfrB566KHqgQceqE6cOFH9+I//eOOkEQRBEGRMol/9Kq71Ae9VAxTCqVOnqoMHD1ZHjx6tSwCg%20NAjaAIVA0AYoH4I2QCEQtAHKh6ANUAgEbYDyIWgDjIxvfetbsw96Pvjgg9XZs2dnIv7xH/9xFrR/%2053d+Z5bXB0FVpw+DPvzww9Wjjz46KweA8ULQBhgZCta333579Wu/9mvVC17wguolL3lJ9fKXv/zc%209yI885nPrH7mZ36meulLX1rt7+9XP/uzP1t99KMfre65555aAwCMFYI2wAjRT85vf/vbq8suu6zx%20T1IsT33qU6tXv/rV1X/913/VPQFgzBC0AUbMhz/84erJT35yY8CWvP71rz/39jkAjB+CNsCIueuu%20u6r3v//9j/nyou/5nu+p3vzmN1ef+cxn6pYAUAIE7S247bbbZr8zjJclgiAIMhzRHX3y5Mn61h4/%20BO0taDogCIIgyPCkFAjaW1DqoQAAGDul3s9Emi0o9VAAAIydUu9nIs0WlHooAADGTqn3M5FmC0o9%20FAAAY6fU+5lIswWlHgoAgLFT6v1MpNmCUg9FXxw5cuTcWip9+PDhmXSF/ixEY4/hz0PyWo2VQ4cO%20rWX/kPbo2LFjM1vWYZM+sBn2D0spcHq2oNRDsQpNl60vVIkup3VQn+PHj9e5btB4cQ5jCdp9rFVb%20LAvaQ94jgvaw0TpHKQVOzxaUeihWYdFl64s1/pTssrxW0hHLJQ5ISsfg7zGjrvziQH1dp/ZNnDlz%205lwbi/rFgBDtUvuI9MZ+i3A764xlzkeb1U6oTuPYVq1ltMni8aNNkkysyzY7kEiWvbMR22Zdfmck%20rq/naGKddHlPM9vukexwXT4jGbdbd4+8FtHWeWfOuE8k2iqRPs/TkseM47hMEvfPOvT0GHmdSsZr%20YimFaUWaHVPqoViFeZetcRARujB86QhfgC7zpZeDicrihSudTZeSLyLVx0spXqpN5DlYX7RD9R5T%205XnOaj9vHdQv6oq2zxvba6K6Jtub1kp6o66oW884rvt7HKUjHrcJjRnrcgDSOBrb5LGynSKvQ2bd%20PVJ9nK+QjlxmVL7pHuX5C6/RvDOX+0TbhdIxr/q8ptEn8vhq7zLbG9tPCc09SimUM5MeKPVQrMKi%20y9aXhS8fpX3RNdEUiITK4oWz6BK1jnmXZRPLLmURL02l5815HrZLEi/fZWPHcSNNa+W+Xu+oW2Xz%20bHa/dZBu9ZEdOQDlgJNtjWmT1yGzbJ1EXCvZFG1YhU33KM9fNNkXyX08tsfNayiUtx2xzmPNY5kt%20paO5RymFcmbSA6UeilXIF5rwJSGJl7PSKouXh/rqwhL5cjcqWzVoC1+I1isWXeDxgpTerE+oPF7k%20qs82RBsj8bIVUbfqol6lVe82eVyT18p52+C8x815ob62Q+Wqj8xbs2yz8rGv8rFvttX747xsUF6y%20aEzXyVb3sf0ir5XS2Y44/4jaxbqoW3VZr+1VmzyfPN8m3MconcePthuVSzRGRH2jPuH+TWs1Jbxm%20llIoZyY9UOqhAIBh4RcJsDql3s9Emi0o9VAAwHDQT9dNP33DYkq9n4k0W1DqoQAAGDul3s9Emi0o%209VAAAIydUu9nIs0WlHooAADGTqn3M5FmC0o9FAAAY6fU+5lIswWlHgoAgLFT6v1MpNmCUg8FAMDY%20KfV+JtJsQamHAgBg7JR6PxNptqDUQwEAMHZKvZ+JNFtQ6qEAABg7pd7PRJotKPVQAACMnVLvZyLN%20FpR6KAAAxk6p9zORZgtKPRQAAGOn1PuZSLMFpR4KAICxU+r9TKTZgnwoEARBkGFKKRC0t+CHfuiH%20Gg8HgiAIMhzZ29urb+3xQ9Degptvvrl6zWteU11xxRXVoUOHqh/5kR9BkMHIZZddVj3zmc+snva0%20p1U/+IM/OMs3tUOQsYvu3x/+4R+urrnmmur06dPV//zP/9S3dHkQtLfgm9/8ZnX27Nnq3nvvrb72%20ta/NnggyBPn6178+O5/vete7Zj9lnDx5snr00Ucb2yLI2MX37wMPPFB0wBYEbYCCOXr0aPX4xz++%20uuWWW+oSABgzBG2AglHQPnjwYHXq1Km6BADGDEEboGAI2gBlQdAGKBiCNkBZELQBCoagDVAWBG2A%20AnjooYdmn6D90pe+VH3hC1+o7rzzzur++++vfvM3f3P2QbQbb7xx9snaL37xi+fq9QnzRx55pNYA%20AGOAoA1QAArQN9xwQ/XCF76wevazn10997nPnX1/wFOf+tTqcY973OzvWJW//PLLqx/4gR+oXvWq%20V1Wf/exnq4cffrjWAABjgKANUAif//znq9/6rd+aBe2mb4WSKIBfeeWV1Xve857i/54VoEQI2gAF%20oUD8pje9qbrwwgsbg/Yll1xSfexjH6tbA8DYIGgDFMaZM2eq6667rvq+7/u+8wK2fsL+6Ec/Wt13%203311SwAYG50E7W9/+9t1CgC64MEHH5z9xP2sZz1r9pb4i1/84uqDH/xgXQsAY6W1oL2/v3/eq3wE%20QRAEmZrs+j+MtRa0m4xHEARBkKnJLuksaAMAAEyBNuMfQRsAAGCHtBn/CNoAAAA7pM34R9AGAADY%20IW3GP4I2AADADmkz/hG0O+bkyZOPWZssajM2jhw5Mnvqiz08j+PHj8/KtuXw4cMzfXquQlzjvtdS%2063Hs2LE6N368z32js+Xz4DO3yjqrjdoDtInvH8suIWj3hC4//ROHJlSnNRvLZa95xIDqS3RXQVtI%20/6pBWzhw9xm01wkmY8DncgjozK37AkL7IPsJ2tA2OmdRdglBuycWBW3hC1JBx5e/L5t4+Uisx+0c%20JBTklI/Bzn2N+iov+dM//dNzaZU76C67IHNAtR3qF22JbZR2Xba7idy/af2ijvjTtvQLzzWmpVO6%20bI/L43zdRmRbsx25b2wrpMvjGo9rlFcbrb9EaYna+EVI1htRG+v3OngvZZvyEc3JutTO9ntsj2m7%20IrLJuuNYbitRG43htYvr2aQzor6qj2sqVJ7LInF84/n4PGRsn8Rz0nPeekRcJ1m0T7F/1qdx4rlQ%20ncf22hqVOy+7NabTKveYaue55D5Ku87rpfI4F9njfNZtbCP8P14/yy7ZrbZAm0aXgA66Ha0JO5ic%20VY6T11NiZ/HFJsmob7wIct6XgRwy5n2RiGW2Zp35QhC+FES8FLLMI4/RZJP6+0JpmoeIbdTfaxiJ%205bZ1GZ6zJNoZxzNxLvPsbFov75HI65FRe0nTvuW1i2swbx4i2iScz2Ldub3Ia940t0zuI5rKMnn8%20Vcby/NU25iWL1lss2yfZa11RVO9zMM82zTf3k2iOuT5im2LbTLTL53DeWuX10TOfXWg3/u1WW6BN%20o0tAjiJHa8JOZCdTvunCULmcKDpjvqjipWGUj3sTHbMpiCyyVeQxsmOLaNe8C0rjzCOPIX3ZJun0%20WjTNw3Z5XPVvGjOWN+kRHkdtnRbZzmiTiW1sU7ZDebdpukDzOBHZGtdeuvJaub/qot58CcdxNA/Z%20YWxXxnPJ7UVe86a5ZZr2qaksM8/eRWN5P7x+i9Yj06Q/r1/eB+E9iOManx3pyPNVH9X7aeK8cx+V%20q962mnzOm+Zi3FZtlu3BVNH6RNklu9UWaNPoMeMDv0iasFNb7Cx2WDm16+xouiBc5svCDp0lOrJF%20+ahX0kSc0/XXX39ee+mVrbHM9q2iWzTNQ8Ry267xTF4ztTGx3JeqmFcex5KYvJ5xrrHeds+bS9bj%20NcrlWut5OozaaK6xXROqj2silI/7mfW7PPZrsqdpz2Nea9s0t0ysVx+NG8skeQ5i3pmzrRo7E+ft%20NsvWw6yzT7FdPGNC+Vhvu0WTfUJtlI593U/rEPspb1zm8piPov4Zrcu8tYDz11ayS3arLdCm0bAZ%20cuR8SZimSwzKZt5ZAFiG7oumYA7/R5vxj6A9MfKrdUl89Q3lEveeF2mwLvEneViM16mN9SJoAwAA%207JA24x9BGwAAYIe0Gf8I2gAAADukzfhH0AYAANghbcY/gjYAAMAOaTP+EbQBAAB2SJvxj6ANAACw%20Q9qMfwRtAACAHdJm/CNoAwAA7JA24x9BGwAAYIe0Gf86C9oIgiAIMkXZJa0FbX3P8d7eXuMEEARB%20EKR0UQw8ceJEHRV3Q2fvW999993VJz/5yeojH/lI9Zd/+ZfVX//1XyMI0pJ88IMfrD70oQ9Vb3nL%20W6pXvepV1R//8R/P/m1qU1sEQXYjf/VXfzWLb/qh9fOf/3wd/XZLZ0EbALrnmmuuqS688MLq1ltv%20rUsAYMwQtAEK5ujRo9XBgwerU6dO1SUAMGYI2gAFQ9AGKAuCNkDBELQByoKgDVAwBG2AsiBoAxTM%20tddeWz3hCU+obr/99roEAMYMQRugAL74xS9WH//4x6v3vOc91R/8wR9Uf/Inf1K9733vq17+8pdX%20F110UfWGN7yh+vM///Pqj/7oj6rrrrtu9mcpp0+fru67775aAwCMAYI2QCH80z/9U/WMZzyj8Use%20srzyla+svvKVr9Q9AWAsELQBCuHs2bPV3//931eHDx9uDNSSAwcOVG984xurO+64o+4FAGOCoA1Q%20GDfddNPsbfEnPelJ5wXsSy+9tLrqqquq//7v/65bAsDYIGj3xP7+/nkXKoIgyJhF37MN7UPQ7omm%20Q48gCDJmgfZhlXuCww4AY4d7rHtY5Z7gsAPA2OEe6x5WuSc47AAwdrjHuodV7gkOOwCMHe6x7mGV%20e4LDPj7098+SIaOzdOzYsTq3HWfOnJnpO378eF2yHuqn/tKzKYcOHaqOHDlS52Bo+P6yQPuwyj3B%20Yd8dutR1uTexyyC766CtoLZNQFIwzPPWWSopaMOw8f1lgfZhlXuCw747moK2AkUMXnGtHShPnjx5%20rkxpEdtlnTFo6xnbOMBJ4rgay+USjRPbWhwYc928gKdxYzvPSWmN74ApyUFX9a5b9CLEtqi/5yvx%20Wpk4R9shYtCO/SPRTklcuzh+Xhe3i/29VnnNXS6iTV5D2Jy4zqxlN7DKPcFh3x35krbEACB8YUdi%20G13iMZ91KPDEIKdxc2CPffSM9bm90jHIKS0bjV9UxLLIvPGjzjznmBZqm8tMDJoRlWluDnwRrY/L%20PHYM8qq3fZ6fg6rbO980fl5T4fV2+/yiQmXeN4+R5wSbobWMAu3DKvcEh313NAUvXeC+zCNq6ws8%201/tCd1BROrZRP/cVTePmPnF/c3ulPZZQfp1gssr4npPWw0FyVZqCprDdKs/jR+LYJq+h0moj23L7%20eeOrj9dt3lwjcZ3mtYHN0FpGgfZhlXuCw747moKX8KWfL2i1lcSfyBzQHCCcXxS0VRf1yw7l3U9j%20xPYe10R96pttENIT7Yx4fOEg5rFNDlK2MRJtjHj9Yn20WSgd5yRc3xQgY/9si/Nu7/HjehiVa9yo%20W1iH18xr6nZNNsHmaC2jQPuwyj3BYQeAscM91j2sck9w2AFg7HCPdQ+r3BMcdgAYO9xj3cMq9wSH%20HQDGDvdY97DKPcFhB4Cxwz3WPaxyT3DYAWDscI91D6vcExx2ABg73GPdwyr3BIcdAMYO91j3sMo9%20wWEHgLHDPdY9rHJPcNgBYOxwj3UPq9wTHHYAGDvcY93DKvcEhx0Axg73WPewyj3BYQeAscM91j2s%20ck/kw44gCDJ2gfZhlXtC/zJwb2+v8eAjCIKMSXSXnThxor7doE0I2gAAACOBoA0AADASCNoAAAAj%20gaANAAAwEgjaAAAAo6Cq/heIs4QhrjpoDAAAAABJRU5ErkJggg==" height="326" width="493" overflow="visible"> </image>
          </svg>
        </div>
      </div>
      <div class="fig"><span class="labelfig">FIGURE 1.&nbsp; </span><span class="textfig">Algorithm that shows the system of steps to follow in the design of a tribological system.</span></div>
      <p>Metals
        and their alloys are among the most commonly selected materials for 
        mechanical components. Their compositions and micro structures are 
        normalized, sometimes even internationally and, therefore, their 
        mechanical properties are easier to predict. Non-metallic materials are 
        less regulated and, therefore, their properties, even with identical 
        compositions, tend to vary. However, in materials, even when their 
        mechanical and physical properties are equal, their response to 
        tribological applications cannot be given by a simple number.</p>
      <p>The 
        selection of materials and the methods of obtaining engineering 
        surfaces, for tribological applications, depends to a large extent on 
        the mechanism and particular type of predominant wear. Therefore, the 
        selections of materials to resist wear will be analyzed depending on the
        type of wear in question.</p>
      <p>The variation of the operating 
        parameters of any tribological system will be limited by the values ​​of
        such parameters for the operation of the system. Thus, the decrease in 
        the acting pressures on the interaction surfaces will depend on the 
        applied load, but this, in turn, will depend on design factors. However,
        the pressure will depend on the actual contact area and this will 
        depend on the surface qualities of both tribological elements. 
        Variations of the pressure or the speed of displacement can vary the 
        wear mechanism, so these aspects must all be taken into account. That is
        why knowing the values ​​of the magnitude of the wear produced is 
        essential for this stage of the design or the redesign of the friction 
        pairs.</p>
      <p>When the type of wear is the friction (fretting), the 
        parameters of displacement between the surfaces and the forces acting, 
        are essential to be taken into account. Additionally, the control of 
        oxygen access as an environmental medium must be controlled. In an 
        optimal design for this type of system, in addition to the analyzed 
        factors, it is necessary to consider the force that acts on the union of
        both elements to avoid the displacement of one with respect to the 
        other, the temperature that can be generated, the difference in the 
        thermal expansion of both elements of the pair and the probable sources 
        of vibrations.</p>
      <p>If the displacement takes place between sliding 
        surfaces, as is the case with the bearings, the displacement itself 
        cannot be eliminated, since it is intrinsic to the pair; in this case a 
        fundamental parameter is that of the traction of the surface that can 
        generate one element of the pair on the other. In this case, the 
        analysis should be based on the decrease in the normal acting force or 
        the friction that occurs in the torque.</p>
      <p>If the working wear 
        mechanism is that of contact fatigue, as is the case of gears, cam 
        followers and bearings, three factors are essential, the number of 
        active load cycles, which cannot be varied, and contact efforts, where 
        not only their possible reduction should be considered, but the value of
        resistance to them from the materials of the pair, especially that of 
        more probable wear. For the reduction of the acting forces, the value of
        the load and the surfaces geometry will be essential.</p>
      <p>If the type
        of wear is abrasive or erosive, caused by hard particles, a parameter 
        to be considered will be the removal of the particles from the system. 
        Such, for example, will be the case of polluting or wear particles in 
        the lubricant. As the size of the large particles has a greater effect 
        on these wear than the small ones, the elimination of these particles 
        will be of great importance, either through filtering or their 
        separation by inertia. However, the ratio between the hardness of the 
        material Hm and the hardness of the abrasive Ha must exceed the value of
        0.85 (Hm / Ha ≥ 0.85). In erosion, essential parameters are the speed 
        of impact of the particles on the surface, their angle of incidence, as 
        well as the density of the impacted material. In hydro erosive wear, the
        avoidance of acute angle of variation in fluid movement is an aspect to
        be taken into account.</p>
      <p>Lubrication is a powerful method to reduce
        the amount of wear on bearings and other friction pairs. Considering K,
        a constant that represents a coefficient of wear in the case of 
        lubricated slip, its value can be significantly low if hydrodynamic 
        conditions of lubrication are achieved. But the hydrodynamic conditions 
        cannot always be maintained, and when they pass to limit lubrication, 
        the value of K can reach values ​​of the order of 10<sup>-6</sup>, depending on the properties of the lubricant used. K is a constant, which in the Archard equation, for sliding wear, is:</p>
      <div id="e1" class="disp-formula">
        <math>
          <mi>K</mi>
          <mo>=</mo>
          <mi>Q</mi>
          <mi>H</mi>
          <mo>/</mo>
          <mi>W</mi>
        </math>
        <span class="labelfig"> &nbsp;(1)</span></div>
      <div style="clear:both"></div>
      <p>Q being 
        the magnitude of wear that depends on the contact between all the 
        asperities; P the contact pressure that can be replaced by the hardness 
        of the material that wears and W the normal load applied. Acceptable 
        values ​​of K according to ASM manuals of <span class="tooltip"><a href="#B6">Kostetskii (1972)</a><span class="tooltip-content">KOSTETSKII, B.I.: <i>Friction, Lubrication and Wear in Machinery</i>, Inst. Army Foreign Science and Technology Center, Charlottesville Va, 1972.</span></span>; <span class="tooltip"><a href="#B2">Blau (1992)</a><span class="tooltip-content">BLAU, P.J.: “Friction, lubrication, and wear technology”, <i>ASM International</i>, : 175-235, 1992.</span></span>; <span class="tooltip"><a href="#B5">Hutchings &amp; Shipway, (2017)</a><span class="tooltip-content">HUTCHINGS, I.; SHIPWAY, P.: <i>Tribology: friction and wear of engineering materials</i>,
        Ed. Butterworth-Heinemann, United Kingdom, University of Cambridge, 
        Department of Materials science and Metallurgy, 2017, ISBN: 
        0-08-100951-8.</span></span>; <span class="tooltip"><a href="#B3">Chowdhury (2019)</a><span class="tooltip-content">CHOWDHURY, M.A.: <i>Friction, Lubrication and Wear</i>, Ed. BoD-Books on Demand, 2019, ISBN: 1-78984-287-5.</span></span> and <span class="tooltip"><a href="#B12">Ron &amp; Conway (2002)</a><span class="tooltip-content">RON, R.; CONWAY, J.J.M.: <i>Friction and Wear of Sliding Bearings</i>, Ed. Glacier Vandervills Inc, vol. ASM Handbook, USA, 2002.</span></span> [6], are given in <span class="tooltip"><a href="#t1">Table 1</a></span>.</p>
      <div class="table" id="t1"><span class="labelfig">TABLE 1.&nbsp; </span><span class="textfig">Typical values ​​of the coefficient K for wear lubricated by sliding</span></div>
      <div class="contenedor">
        <div class="outer-centrado">
          <div style="max-width: 1160px;" class="inner-centrado">
            <table>
              <colgroup>
              <col>
              <col>
              </colgroup>
              <thead>
                <tr>
                  <th align="center">Type of lubrication</th>
                  <th align="center">K</th>
                </tr>
              </thead>
              <tbody>
                <tr>
                  <td align="center">Hydrodinamic</td>
                  <td align="center">&lt; 10<sup>-13</sup></td>
                </tr>
                <tr>
                  <td align="center">Elastohydrodinamics</td>
                  <td align="center">10<sup>-13</sup> - 10<sup>-9</sup></td>
                </tr>
                <tr>
                  <td align="center">Limit</td>
                  <td align="center">10<sup>-10</sup> - 10<sup>-6</sup></td>
                </tr>
                <tr>
                  <td align="center">Solid lubrication</td>
                  <td align="center">≈ 10<sup>-6</sup></td>
                </tr>
                <tr>
                  <td align="center">Without lubrication (Severe wear)</td>
                  <td align="center">10<sup>-4</sup>- 10<sup>-2</sup></td>
                </tr>
              </tbody>
            </table>
          </div>
        </div>
      </div>
      <div class="clear"></div>
      <p>It
        is evident that the sliding wear in conditions of hydrodynamic 
        lubrication, is the most desirable state and in the design, all the 
        measures must be taken to propitiate it in the operating conditions. The
        most important factor that determines the lubrication regime, is the 
        minimum thickness of the lubricant layer compared with the surface 
        roughness, which can be calculated by specialized monograms, taking into
        account another factor λ, integrating all the influential parameters (<span class="tooltip"><a href="#B4">Hebda &amp; Chichinadze, 1989</a><span class="tooltip-content">HEBDA, H.; CHICHINADZE, A.: <i>Manual de Tribotecnia</i>, Ed. Mashinoestroienie, vol. Volume 1, Moscow, Rusia, publicado en idioma ruso, 1989.</span></span>; <span class="tooltip"><a href="#B13">Stolarski, 1990</a><span class="tooltip-content">STOLARSKI, T.: <i>Tribology in machine design</i>, Ed. Industrial Press Inc., USA, 1990, ISBN: 0-8311-1102-X.</span></span>; <span class="tooltip"><a href="#B12">Ron &amp; Conway, 2002</a><span class="tooltip-content">RON, R.; CONWAY, J.J.M.: <i>Friction and Wear of Sliding Bearings</i>, Ed. Glacier Vandervills Inc, vol. ASM Handbook, USA, 2002.</span></span>; <span class="tooltip"><a href="#B8">Martínez, 2010</a><span class="tooltip-content">MARTÍNEZ, F.: <i>``Tribología Integral,</i> Ed. Editorial Noriega, México, DF, 2010, ISBN: 978-607-05-0271-2.</span></span>; <span class="tooltip"><a href="#B10">2017</a><span class="tooltip-content">MARTÍNEZ, P.F.: <i>Mantenimiento Industrial. Conceptos y aplicaciones</i>, Ed. Editorial Cuba Azúcar, La Habana, Cuba, 2017, ISBN: 959-261-526-8.</span></span>; <span class="tooltip"><a href="#B9">Martinez, 2011</a><span class="tooltip-content">MARTINEZ, P.F.: <i>Tribología integral, Ed</i>, Ed. Limusa, México, DF, 2011.</span></span>).</p>
    </article>
    <article class="section"><a id="id0x10ee7700"><!-- named anchor --></a>
      <h3>MATERIALS AND METHODS</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <p>For
        the evaluation of the different formulas for the calculation of wear 
        according to the type of wear at work, the algorithm developed in this 
        respect can be consulted (<span class="tooltip"><a href="#B8">Martínez, 2010</a><span class="tooltip-content">MARTÍNEZ, F.: <i>``Tribología Integral,</i> Ed. Editorial Noriega, México, DF, 2010, ISBN: 978-607-05-0271-2.</span></span>).</p>
      <p>In
        general, the highest values ​​of K occur in metal-metal sliding 
        conditions, lower than those that occur in sliding conditions between 
        non-metal-metal and non-metal-non-metal. If the conditions are 
        metal-metal slip, with the same characteristics, the value of K is even 
        higher. If the conditions of both metals of the pair differ, the value 
        of K decreases and depends, essentially, on the tribological 
        compatibility of both metals, understanding by tribological 
        compatibility, the ease of establishing, between both metals, high 
        values ​​of the molecular component of friction (<span class="tooltip"><a href="#B8">Martínez, 2010</a><span class="tooltip-content">MARTÍNEZ, F.: <i>``Tribología Integral,</i> Ed. Editorial Noriega, México, DF, 2010, ISBN: 978-607-05-0271-2.</span></span>).
        This possibility is strongly related to the molecular and crystalline 
        structure of both elements of the pair, as well as to the value of its 
        solubility in the solid state, which is inferred from the 
        characteristics of the equilibrium diagram formed by the interaction of 
        both metals. In <span class="tooltip"><a href="#f2">Figure 2</a></span>, a map is shown in which the mutual solubility of friction pairs formed by two pure metals can be appreciated.</p>
      <div id="f2" class="fig">
        <div class="zoom">
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0ynJ9bkg%20snTpUv7J4U9jyDLkUwi/wOk4N9H/B5sa94IgpN+nu/8/gVIRyuFFJDjwys8+ojJOvx4vPDOUEjuF%20sSd0RyhekyiSwSmcP38+k/Lytm/fzqTsxdMRXrsXUPzTK3BwiBW9jHjpKBq98cYbmZS9eA7eMIpp%20kOJXP4uxUxh7ojiFjvs3pXD9iRMnzpkzZ+DAgZQshHhOIV0RShe7+7tsonHjxkxKxusmoyuvvPLR%20Rx8lmTcEgaCkiJhJsuNGpMKJxFPp8NVXXzHJJ9I5UyDqN2rUqGfPnixR+MjwFAYmnSks5MRmCitW%20rLhhw4by5ctT0k4hR+4IcpDX9R9KpR70upSEsvRvVMjn38FKDUqhq3V9/axH4gjMHJ8Mt6dQVCB3%20Nk2YMOHYY4/dt28fJd0KWcbvv//OpFRExRF+pyTsKaRXc9SpU6d37950pr1t27a1a9d+/fXX9DRm%20EGofYjyFOKeFHPjMNmuI6xTu2LGDkkCUC4Rly5ahV2eeeSZLmyXdKUTXsYEBlk4G5yZe/wPjwSSC%20PQ+whADsu09nDj300D179uCTkgXF4Ycfji5xWG7iEWtt2rSpXLny/v37X3nlFeSMHDnyt99+g3D6%206afXr1//+++/37t3L5KnnnrqxIkTsRBPO+20n3766dJLL0Um6uJTh+zfCw0wc+ZM9Orkk09maSVb%20t25lUj7r169nUiDsFMaemE0hTv+iOYXolaNjDRs2/OabbyDQn1fxiUPlhg0bIOBwis/bb789Nzf3%20zTffpL3mnXfemTVr1s8//3ywcuIBXjgCgy1btuDkFkfXnTt37tq1C0XTp0/Hkfm1114jzXSnEFsU%20dd1rO/RC/V9pEcezLR2eigJ/F+Avp5Xi+IZ23rx5TPKJeAZnD6TpgtPRV199lWSEywMPPIDAQojM%20mTMHmxwC7sCBAyj69ttvR40aBeHWW2996623ICAiKZJatGjx2GOPQUCV+fPnIx+yPgGn8OBRo+Bg%20nbAkiFAU8qPK5s2bSbDoEO4UImK8fsV17J0zZsxgUgzhT1Xlg121ahUJ9BLQ+++/n5J0PqJAfJw3%20jqskfPHFFyRIid9eGE0K8F41O4Xpctttt9EL2u+9917KAWK0XXDBBUwKh4KZQs1XTMQIfneH+ISI%20wNcMvsjAFHqdImK3O3j66CoVT5r9nkBb3KQ7hTRDXr/a4/rdPYUA11L8MzvYtm0bzj5efvlllk7g%20uKmYvqPYv38/PlOe1yxdupSOUmPHjqUcL+xemBk++eSTffv2ibc8wvU33HBD9erVc3NzcbDp2LFj%20+/btkT99+vSHHnpI/HIK8sknn8yfNN+zZ8/atWvjLLd+/fotW7akLbZz585nnnnmEUccUalSJXpq%20A1kDdgrT5aeffvrXv/7FEvlg2vDZt2/fP/74AwL/PjMM7BSmy8iRI6tWrXrRRRfdcccdp512Gr3n%204Prrr0fc8Dfsh/prcFpTSFsd3wjd31wr7myyZAobhZkBmxaT8vKmTZvGJCPYKcwM4rnoVVddRcLt%20t9+Ok9Kvv/4a8vLly+n3Pxx1586dixOcAQMG0JH2gQceaNq06c6dO3/44Yd27dolqvrATmHssVMY%20e+wUxh47hYUIO4Wxx05hvLHzF29Mz5/0x424U4CDsvOXAez8xZvYzB/dYC3trmIM4n1MXE36XEzp%20DdyAarm/YffSVyC9qYrsu4cgHZTbCV4y8fjjj7t7DqBJsHQgglTGAOB9qe8cmWLnaAyO7jq8iepQ%204H/+F/H6kyPypd4BDiM8+d1330mrODpPLaKWww4BZeotZK4AAbMFKMlBvsM4QCblS5eyJpKeqUl0%20+yAOF6ArTHIBR/A1KKq5f5+CWXzqj0fRqBfoDBArUqPkSsoRkeYjB/B+qrvhNRyqJdoJgO/xp4l6%20qPECfqfhFOCg7PxlgKjMH/phKUDYNPghcvF3RgKWiAnBXJ8RMtbwYYcdllhDB2FZibcJsqz8TFEg%20xMdSsqwELCsBy0pW9kvbtm2ZFZe7WW6yfemIpKRUSEnz5s2Z5JMgDUu7mxgmg2UlZ5511lmUg88a%20NWpQJpHQPQhLJ2BZ3sp+YfXzYbk+OyOCiiSICl7Kbi688EImpYFuY5zEcNjLrUUon2BZyZn0/g4I%20+IRMmURC9yAsnYBleSsTyHFfbwHpRZgIy/XZGTBixAgm5cMVjjrqKLc+4b7izMjtMpKWFJxwwgnU%20P7Bnzx6Wm4Dl/u1vOOywrOQHslCOKBDiIathw4aU6XhUPmUC9/GzcwKWUOL3+MmykkdEzJ07l/7p%20S0AHn3AI6QM4ioo4yGSSDKPHz3RQDyOmFOCg7PxlADt/8cbOX2YoKD9myfzpXHpnx/w5GkrZbsWK%20Fa+99lqWyCgZGzDGwGFZMtSlgF5TyRI+Saei4732ahwNabZLjzjMLPKGAzgCVTgsywW9KpTk4sWL%20k7BmzRoSQOvWrclCixYtWFYyjusKhxFunASe5KADTBIoXbr0wSb/9rcBAwawrAT8QexcIEgZsLSy%20IfeFRGZxNkzQL3PubilIjIjBsvJ54IEH8Im5wae7VISqEywrnzJlymzbto0lPBBrVZD9mAeoG9Ql%20gItxao6gTAWlSpViqn/7W7FixSgTMgniSInBgwczKRwkPV7k8Uu3Gq9Lb4LfkcWHSlStWpVJacCN%20OIx7oX972OQELOGN2K7b+CmnnEJCly5dSMggWgPOIJouDkaoxhUUVLvAzl8GsPOXGez8hY6dv8wS%207/mDNQeswBv+YpgMotNuSMR7/hzoGA+jA26bt99+O5NCxnMwAcaJU23pT6kiKc1CQfp/SOQrTuXP%20OeccfHLjXpdAUAD8uo2DzHQeloLq+CyQh1PKvYkOwQVev4tSd92o/6hKeMk6eM1fuXLlSFAbL1q0%20KDIJ9++lmj8CS4FBfM6aNYuSJvHnQUB9pU8RzXyH4NCnRePIJJAJ1FfTvCIExBNPpgSaFSpUCDyF%207oYK/vgZEvo+DUCoxhUUVLvAzl8GsPOXGez8hY6dv8wSbsP169dnUj7iUA877LAVK1awRD69e/d+%205JFHWCKf4sWLoyJQv8pNNH7EEUcwKdO4H0UstmsYScN0jufuU9OmTZmUlzdo0CAmpWLTpk345P/3%205WY3btwI2d2KO3Pw4MGUSbDcBHSyyjNFAbifvopMXOS4rw6RjytX8eI1JyeHSXl5/fv3Z1JeHj1G%20l+AyqpNgHknDNH/0+6e0Zymf76yAG4TAoRzA0glYVl7e0UcfzbISsNx8xJN+KuXBCihfxOs63X1l%20snTpUv7JoeVI8Ke5Sxsyg7xhTB7Nn+OSSHzgvj7iQ8GDDTUxFwyWlQ+CiboK3KUOoCnVwTA1b4Id%20OXIkk/Ly6K1XIGW74aFqWDqkrl27MikQgYd63HHHpXRxxv0oNeh+IUZE5y8MQh1qQfnRzl9msPMX%20Olk5fwWInT85/B2HdevWJSGaxGb+xo8fzyQXJUqUIIGMe126BUY0GDUk3kz5G6z0H56Ee3ropJFf%20MnMFujJxX3V5nWSiots4KFmyJPKnT58OmStIL92A1ALwyifKli3LpOgh7zc50e1c9Z+g3fqE6B0v%20WQ00CcddCgsXLmQFCVP0mREiftjkSAZMl8PuL5l0cHvQEWdcgaJcGuuOzIOTI/DJJ5+wAlcRYAWy%20noDvErCEgHTl4bCJ9coSUUUyyFCRujVThGo8mtj5izdJA8b4LQqYm6KEjb94Y+fv4HNbSLjllltI%20iBE+Bjx8+HAm+YfXzez8OboUwPhFF13EpHgiHzD/RU3KkiVLmJSM231uzZQuRtOOHx0JXFQo6lJD%20ooL0OsFtpF69ekyKJ3KPYJCOcRJ33XUXfwOvG+nFHPRRiyX0XCz9CgbKKbskKugbKSzHz4wgnYNM%20EarxaGLnL97Y+Ys3dv7ijY8Bb968GQ4iWFY+RYoUoXzpA3JE3HUziNo4/0l23rx5JGQBPryZmKC/%20YLl5eR06dGBZCViuB2oFxWNMFb/fclK2znn44YeZFHM8B+z+SSUxO3/BcvPyTjzxRJaVgOXm4/f3%20W8Lr+cwsIQDL/LqFFHicccEN/d6bBUg8IrpJvETDpW7ChwdhWfmwXO9X0DDJW+b06tWLSQIHTSdQ%20P2UOCiR07NgRRwWSOddccw2TsgiJB8U54x4JTIDfb1euXMmkBAfnTUD8/ZZApkMoPJgecKgutvMX%20Onb+Moudv3hj5y/ehDtg9y2fZuava9euy5Yti/L/bjOFoQXLb/k0MH87duygJJg/fz6TspRMehMX%20Ce7rAcctnynnDwrSn+6QL73YF2/JdBsvWbIkk7IUlTe9foX3mgOp34F4y6dY18uOF9L5E/9nTAZv%20uOEGShYG5B6EI7x+76ZMd5FXvgOuINXHZOB6X2oEmcAxhVgxYj+5MHTo0LPPPpvk7EbiqVDhLg6D%20UI1HEzt/8cbOX7yx8xdvCmb+nn76aUqCNO+0q1ix4oYNG+gVN3b+GHCEly8o312aqMH47LPPWK5L%20nwtt27YlwcHB+i7jAJk423Tclbhu3Tom5eUde+yx0orZjXzA9BOg1/Wc+t/ZjRs3ZlI+or7axfTy%20MYJlCYg/TLrZvn27tFZ2oxqw1/x5oaMvutjXo/zF71k4l19+OZPy8vr162fnL12++uorJnmQcRdP%20mDABR05aCnb+QidUF9v5Cx07f5klq+avEBKP+Zs4ceKcOXMGDhzI0pZ8YjB/ixcvZlKYXHnllVOm%20TGGJ+CDxJv1jE1fKjovllEh/v3WQcv6g4LgOyfrfYNNBPn+YBpo/qbu95sDr+k/U95Ijwv/+9z8m%20xQTP6VFPnrtIM98hOPTRqNfvt40aNerZsydLhEY2zF+oSOcmOvD5O3DgAAl79+799ddfe/TosWDB%20grfffvuEE06YP3/+WWeddeedd5JCwWLnLwk+f/v37xcfP9m4ceN33nkHE/nnn3/ecsst0flzRpI3%204dy4wHqcaezxMwUpXd82AUsYx85fCsILnYxg5y8FMZq/0047Db2N+Ixm0ps6cxOX+UM/Ob/88gtl%20zp0794MPPiCZWLt27U8//cQSeXk4wcHnfffdR8nzzjuPhPAI4k2vL1m88nFVx6Tk+ZP+nj4mAUsY%20Rzp/9OcaIN4Y/Pzzz9OPne3bt69Xrx6N/Y477rj44ovvvvvuL774ArNeqlSpSZMmffbZZ5j1J598%208vLLL//Pf/6TqJ0xTEcD3MGkSCKdPx5h9NeQCy64oE+fPmeccQZkLLVmzZpdffXVgwYNuuqqq667%207rpu3brRvwIaNWpUtGhRHIS7dOly//33YzpfeeWVBg0aHDSUOez8JSHudmXKlEFv33//fZZWsn79%20eiYl2LVrF5NCxs5fEhE/W3Fj5y8JO38p4PNXu3ZtEq688koSooBj/vr168ekqFIw89ejRw9KRg3H%20/KG3Q4YMIZkW3Lp16z7//POJEydCHjx48O+//w556tSp7733Hi4eXn75ZeTjouLAgQPIpLvd9uzZ%20gzMXCGDr1q0TJkx44403ZsyYgbPZOXPm5Obm9urV66233rrrrrs2bdqEJGlqIp8/6Z2ShPoA6C6l%20HwX5JQQpVKtWjZJRQ5w/dJWg5Pnnn4/P/v3789c/YWp37twJoXXr1rjU43Vxvop5eumll+69995v%20v/32qaeeovwtW7bgXBTCzJkzK1eujJNSyFgQmL9TTz111qxZ7r8+p8TfZBBe+V6zLuq769IwIgKf%20g2LFiv09H8iUKYU/fpmDOWOSgM4wU/57wY3n/HnZoj/De/2V3T09Xs/PiiaO42f0Me3NGM3fAw88%20gM/77ruPDpL0LRrtfKNHj7777rtpUf7888/Yznv27Ll06VIcMOfNm/fRRx8hn/gtwTnnnAM1lpVR%207PwlIc7f9u3b8fnFF19gt65Ro8aOHTv27t1L33/Sw0hXr16Nc5kRI0bggIn5q1WrFqq0a9dO/NqT%20jq633npr3759KSezJHkTzi0oWA8KmsweP2+66SYmhYaNvyTs/pcEvzbnV+t2/jKLOW/SNXtc5m/9%20+vU4xyZwkU6ZEUTiTXJxkGsR5dzQNXvs4o9+kgUdOnSgk88ffviBcghcjONT5xulCy64AJ/8rlU6%20P0oTz/kjpH+p9ppad36fPn2YlE+M5u/aa69lUoLc3Fx6QdJPP/3UtGnT0047jfLnzJlzxRVX4Pyz%20devWSEKtW7dudJVcrly5r7/+mr5/ueqqq+hdWZi/nAS7du2CqVmzZqEu5ezfvx8KvjDtzXjF3803%2038wkDfiXnCax85eEPX9JQbzmb/To0UxKcPLJJ+MTx8lnn322TZs299xzD+UXIJH2pnm84g8Ths+W%20LVvi818J9u7di09fj9AIg0zO34UJWCKeiPO3ceNGJglE7VrCxl8SWbL/KXYpKor4NhaYbJi/7/J/%202/OaJPXzs2JNlsQf4SvI+KvfFO+Aiz6O+ZsxY8aXX37J7+UE/DV2J510Ej7pFWdDhw5t0KDBCy+8%20kChhSL/lmDJlypYtW3BRz9Jpk52HwcC442/OnDlMSnDkkUfizHPy5Mmnn346Jmz//v27d+/GXNav%20X9/x9xHMH78DdNWqVZ06dfrHP/7x0ksvIcm/gevbt++KFSv++9//0g29AaLfzl8SDg8eddRRd999%20t/gPlyZNmuDz3//+d7FixU499dQvvviiTp06JUqUKFWqVLVq1QYPHkwKoFatWqNGjaKf3TE3O3bs%20mDVr1sUXX/zggw/yd9vdfPPNEydO3LVr17Bhwxo3boxFQPn62PlLIs39TzzSmsHOXxJ8/tw3MIiP%20VkQMMamgsfOXhBh/P/300yWXXIIcuv/ovffew2fdunVbtWpVo0YNnIYktAoYO39J8PnDKeVDDz10%20/vnn16tXj/50W716dSrCCUufPn1yc3PNHy3dSOaPLhuy+CJPQZr7n3k844+eV8yv5UWy9csXkA3z%20h5nDpYxXFFJ+tk6he/46duxIf+SNJlkbScHwir/I/oXJzl8S4vzRCaeUm266afjw4b/88ku/fv3O%20Pffcjz766NZbb0U+qtP7Dr///ntEbefOnWvWrHnHHXckKoWCnb8kdPa/8ePHd+/eHZorVqy47777%20BgwYQN+KgQ8//BCfOHGlbzhff/312rVrYy4ThaFg5y8Jx/wNGzbszz//3L59+zfffMOyIoadvyR0%204i9S2PlLws5fvLHzF2/s/MUbO3/xxs6fxSh2/uKNnb94Y+cv3tj5s1gKEs8I/JvFUohhYRA+2b8H%20+vJm2K43ObWxI1TnRNbz2b8gbATGBRuB2YmNwLhgIzDDTJ48mT+I6/HHH9f8a37nzp3537+9HtnF%20Ed1Kj2x243A9bEKTnqzuuPcSOJSpz241L9BzGjJ9umddug6kmV5oKotqXp5xQG7nyinnS3NCgeZK%20cA+NPK8zZOkj30QcRigJ+0B/IGGQemyB4e6j5U7j5I7wii63KxVx6HArd6WY79Dh1pBPPRQnQGrQ%20raYGRsQIFPvvsA8UrUsRdfQ9gymgAKOxSEEVgjTV44Uak/Jlhb50JVCou+2IQId3Rn0c4aVkhDwj%20riWHcTHJe65wTng4x5x9uOdVgS/lAIRtP0bww4d4TCQhDCLr+exfEDYC44KNwOzERmBcsBGYndgI%20jAs2AiPEYYcdBpcRkFmujHLlyjG9v/2tVKlSc+fOZQX5IJ9J+UybNg2aVAXQ8wUJJJmUoGHDhqTD%20QQ4rk6GwTCCTSeGTsjNufFXRnyNNYIdJISA1PnLkyG7dum1IAGHUqFGswCDmFkS7du2YpEScV5FD%20Dz2UaeRzxBFHsDIX4iOtkWRS4lHXpOAG1qAAgTRByZIlqchB0aJFmYZASssEkkwKE83OiPiqoj9H%204LvvvmPFLuh7Tg5ymJSM5spR4zC+evXqZcuWsYQAMlHEEkbwsSD4N+yT85/7o0n37t2hD4oUKcKy%20vCFNKUwjH5brAVNKdj0VeUEKpAkoUwrTEGAFHjClZPsEvErfpGM58vc/e0GrmWTFt/+JNj1hSsmw%20Mg+YUj4sVwbTcNGrVy8mJXAkCWl1viffe++9LMsbbsHtHF5EOJIiiqIw8NGY+BuX+KmmdOnSUBMZ%20MGAAK5PhdXx1n+eEvQcOGTKEihzwt8WLpLkHeuVLUcQeUVB7oHuORBBLDsEBLDApQd++fcksp3jx%204qzMGxzFpD+TojqTEsR4DyRoPI5RORgxYsRBt8nACR5T8gDnM0w11byWLVuW6SX2WFzJsIJ8kM+k%20fHCt+Pe//52qAFhgBTJlzEeVKlWQf8YZZ6ScG4VlAplMyof/lAxB5xdhvk+6TTlI2Rk3vqrozxGn%20efPmLVq0YAkXsMOkvLyjjz6aLLvBumJKLvixCWokcNw5ABd+4nUgLgtZgUFSzGIWIHW9F76UAxC2%20/VgTqnMi6/nsXxA2AuOCjcDsxEZgXLARmJ3ENwIju2hCItTxRtaZUeyW39/B1aA6kzSQKvfu3Rv5%20jzzyCEunQfqdCRX6knPFihUsnVFSujGd8Z5yyilMSvDSSy/R23U45p2pSeS65et3cGLQoEFMSqZp%2006b4RF1KEr6Ugdgfr6/yOe6vy9esWbN8+XKWSLav7gkQlYPBTTlwN+34NcLrBwMiJyeHScn079+f%20SS503IgiJmk4hzN48GAmuejYsSOTMuHMkNDtFv+iXPxNIgwScySHaXgwduxYJiWoU6cOCdKKOspr%20165NNOsE+UxDhvhintatWzMpH1RnUj5ePQFuZUCZKX8S5IgGgaM54oQTTjg4MBfiS0odbN68mb9J%20FkCm1wa70XcjMpmUj8I5HHSeSS7WrVvHJA9nRgF/3UL40UjEz8zi63dwB2XKlMHntm3b6JU3BOoy%20KRlfyn6ZNm1a1apVWUJAal/aE+DVGb+dhFkYh3D88cdTTqagTYa//DdNfDlHpHLlykwS2Lt375Qp%20U1giczObcXS7RX81wDC4QP9NC+m2Yl+/g4t07dqVSfkoXO9LOSN42Xf3BDiUyeH0hw8IjtKUSJtI%20H7/dUOBlSrPnEyZMqFSpUokSJa699lqWJZDBfmaWiHYrg/hyfdjzFKnORI1QxxtZZ2b/HEdq0Ueq%20M1Ej1PFG1pnZP8eRWvSR6kzUKGzjJbJ/zDYC44KNwOwk4hE4fPhwJgk0aNAAnxnpzPjx40uUKMES%200cY93urVq6P/u3btWrlyZatWrdwPQMgCdOeY7g2lXyPIU507dyZBDX1xSppcUENqFSpUoEbVv30t%20WrSI9CFzQcSRQzYpkwscR1KtLIXU0CvyFb+ZiEAOkwTEn783bdq0ZMkSkh3KovO5oEb8HXz69Oks%201wNSw3zRlOGTFZgCjTIpL++YY45hUjLz58/fKNz8mQWknkURmhXylK/fIVBR/0dkAq3o//qPhe5l%20X5xXDkJLqu9LWQHsoBZLCEjtg7vuuguf7du3pyQhVYZPdDqzcOFCVHeg+YyCkH5hSgmaZlJe3v79%20+5nkQlTLAvwNBvseRYXfFUmTqu872jpQS3M10H2uUvvSTBqFu8iXshfkHP3OELt372ZSPlJlCmz1%20sQkVFXzyySdMzwW5UW08PNA3Jtk9MJsQ5zUlvpQDEKnORA33eHEdOG7cOLoObNmy5bx581hBFpH9%20c2wjMC4UtvES2T9mG4FxwUZgdmIjMC7YCIwZK1aswJx5wZSU8+p+FKyXssKIgwkTJpQpU6Zo0aLS%207zP07QCp8ucJWCI+rF69+sILL8SI8On1V3tfzskaYj/mZs2aMSmffv36MSmBdF69HiIsVT4i/8Gk%20LO0BV3MQ+B4Zt3LFihUTJv8GgWVFHq9HwbsfDegeb2FAa8yThYdka/44tnz58jVr1rBEPjpPXA3A%20OeecQ8LEiRNJEHHPq+IhwpBJIFq3bk0KHK/HXR511FFMQwZTknWG+9Nd5MjBvnrQVj6KhwZwoIZP%20zV90AOmjS4BypJQvX55J+bhzOBs2bGBSMu58ar2woTVmmkI+PeKKUf92JN4kLt48nnFmzZpVrlw5%20lkhGnNeUDxGGQJqAPy/dQbFixZiGwODBg1mxi8MPP5wpJdvn0N96WEKAZw4bNuygIRkoIh0voKMf%20gQD69KugGvrfHKF+ik+3bt2YlIw7H00zqTChNWa4hqIOcwmQpBwSHH+8clC1alX3c6xNgh4ySQNf%20ym4QbAmX/EWbNm1YWQLkMCkBjl/IoQ0noZ5U6kj6hRskIWUckhoEmtmUcUgGU5oFzZs3Fx8RDxk5%20LCFArRc2sn/MvuY17EUQqc5EDRuB2YmNwLhgIzAJuMNiMQxbfIWJ7B+zr3kNexFEqjPpkJOTU6ZM%20mbJly3o9O9SiiY3AJDK16Pft28ekZLIgAuvWrcskAWmmRYew5jjl06ONYX7RY+ywU7NmTZYW8LIv%20reJQ9vUrXEjQ0zulKIosCvwtuM6dO6t/qxVRPz06JVh/+rdp02KV6ksXPf244v7C3Zeym0svvRQW%20OO5fDpHJpHwUVZBkUj76v8IRcAj9esTSqVi0aBGGSeOVojjntKejwdCdGyBOJMk6t3J6PT06JVg9%20+ksH64ZWD0sLSI3AOA4l7v77Unbg+M8KR/ztC0kmJVBXgUBqIvq/wgH+SyMldUAVtf7mzZsd55xI%20ej2y3pISH3MTU3ytP1/KAYhUZyxRwEZgEjYCLYaxEZiEjUCLYWwEJmEj0GIYG4FJFNoInDdvXqtW%20rVauXLlr165x48ZVr16dFVhCJpQ5xtLxAnPMlNIDdphFGUwpgSOpxpdyAET7BzvqAXkJAmmGysaN%20G+fPn88SyXg9MtCSQfzN8SLhwbhYH9Lf3wjHjerAfTO7Ar741Ksw5Q3ywG2hc/5TT4Hja31fylLE%20m/1S/tqh9pK7M8ihHxikv7s4UPeE426Fk5ubyyRLaHh63wvMK1+Iiggk+E3r/DZ2fdCKzopX3yAP%20vFaYNN+XsgJfdry85GUk5S+TIil7bvfAgsXHwkLskYADMB2JU0YgKFeu3KxZs1hCG77IdJa+4gZ5%204LbAuw3BMQRfylLgGXIOPt1/LvEajtRLbmWe42VHRN0TB3PnzuXXgePHj7fXgcZIPZFxR2excnwp%20ByBSnbFEARuBSdgItBjGc44x/RYLhy0LS6YJ17MTJkzAFcWRRx554403et0y5yAnJ+eEE044+eST%20hw4dyrLSw9fqCXupGe4M/N+oUaPjjjuuZ8+emv63GCasBVekSBEsIDf0ojwp7geNEaw4KL4spN8c%20UeB36DZp0oRJybh//7AULJlZcA6KFSuG1eMFU0pGUUXn0bQKYIFJGjiU586d6/hNDMmU71IOcIeu%20FFHZ1+259OxTKdu3b2eSJRroLghxNaT8Un7x4sXQl+IVTvPnz2caLrx+rRKBGj6lHaMiB1433UqV%20R4wY4RC8CHCHLqBM+uVAxKGsf3su/L9u3TqWSObYY49lkiUaSBaEFMdqoLW+aNEi97rhTJo06f/+%207/9QkRDflu5Fr169mHYiVm+//XZWkArEEjoj/acITDFJAP1Hz1P+Z4VTo0YN6Z4mEuAOXQKZ1H+W%20zsetTH9R0PmjAoD/K1asOGfOnA0bNgwcOND8Iy0sOsgXXDYhXfRe+FIOQKQ6Y4kCNgKTsBFoMYyN%20wCRsBFoMYyMwCRuBFsPYCEzCRqDFMPGeY533hGZHBJ5//vlMEqhTpw6TLLHF34LgLFq0SPMutccT%20j/0EkLmghtQqVKjwXeLZlSnvrFG/JxQWmJSAbFImFziOpFpZCqmRf0hgBQmQw6QEnTt3TqjL7fOk%204oGrwZ7FaokOqZeUA/6bW8rAEEEc+tIHWH/6t6Iq3hPqWNYEQkvaH1/KCmAHtVhCQGofLlV3pmvX%20riS46dKlC5Ms8cRQBNKPyNL1J4W2joM3yev9+qxA2ijFtrvIl7IX5BmpvjSTBuv2p6iM8+1rrrmG%20JRIgWSDv4bBkFt1VFV/0Iwf4Ug5ApDpjiQI2ApOwEWgxjI3AJGwEWgxjIzAJG4EWw9gITMJL+Zln%20nmFSetgItDgodBFYtmxZJuUze/Zs/vo76aIvVaoU8o888kiWTgOH/auvvppJAn369CHBRmBhwMcc%2005fmnf28RpdDi0lzSUl/BlT/NkiW1b+qcT744AP+8Hz1H2ieffZZ5Iggh5V5AzV8Sn9HoSKiWrVq%20THIxY8YMfIrKlmzF3xyLa0L/53JAfy5hCQ2+SuCWFXjZ98pHAEyaNIkl8hGVaetzo7MZQi1lBPbo%200YNJLh5++GF8isqWbEV3jrGeDq6+fBB++GRlSuiPV7R/Jqr6WFWNE7CEB9Qxumdfat+do8CXspRE%20Fw4aIcERh1TEwdnvueeeyxIJ5s2bd8UVV5DsULZkJdk/x77WcdiLPlKdsUQBG4FJ2Ai0GMZGYBKR%20ikBLYcBGYBI2Ai2GsRGYRDoRov5xj7ARaHGgtSDEbz4hgO+++85x76kXYd+hi26QPmQuiDhyyCZl%20coHjSKqVRVL+uEcoLFgKJ7oLgm4LpGDAoqcI1F9PYd+hi8542Zd2Ev2X6vtSFkn54x4RuwhcuHDh%2025Z84A3ml8zhLwIB1hCPQCQ144p+FtNff2QctRy/p3lB3ZPal2ZSbLuLfCk7UP+4R6Q0EjX+97//%20McmS4Pfff2dShojZggiAr0UfdoTEPQIPHDggvhYKMk9C2L9/PwR8AsqnHBIoh+vHFBuBvrERmA6O%20CMQZNQ+qOnXqrFixgp6d0aZNG3xu2LDhs88+++WXX8aOHTt9+vTffvvt66+//umnn6677roFCxZA%204eyzzz5YMy+vTJkyf/75565duygZI2wE+sZGYDo4IrBJkybDhg0bMGAAQuuUU04ZM2ZMTk4OdKZO%20ndqxY8fRo0c/+OCDzzzzTLdu3RCE//rXv/r06TNlyhRUbN++/c8//3z00Uejyoknnrhy5coff/zR%20/aTJ6GMj0DeRisDYYa8DHdgI9E06EXjeeeetWrWKJfLyICOHJQoHNgId2Aj0TeAIxLkWk5Lxys9K%20bAQ6KMgI5KuTfirQBxXpRwXNnxYAb0snfi677DL6NYL/RiLitgBl/kujo0ui8htvvMGkZLzysxJ3%20BPbu3RtecoCLQ1ac7RRwBAJau/QzIJKJEi18KYODPwVqRyzwsu8r35HZtm1bJuVz0003Malw4IjA%20Ro0awUVSbrzxRqaU4Nlnn123bh2qv/rqq7kJsHb37dv322+/QcAn0xOewbN///5du3ZBhzT//PNP%20ZB5IALlnz56khiL6ErVGjRoUD8jZvXs3hF9//fWgRl4eKaBR/s1tpijgCGRSvqy5GfJf7SFgmyJZ%20Dd+jxEa94P8WgOAOWrcFup2XBC4TOs0VKhwRWK9ePbhISsuWLZlSPitXrlyxYgUExM9bb701ZMiQ%20UaNGff75599++y0y+baJCJwzZw5C5bHHHkMSM3LOOedAQLR/9tln69evv+2225DkEXjzzTfjE1sx%20qQ0cOLBLly6wgKv0119/vXbt2tdee+22bduw0kDG391dkBEYU7A4mKSBL+XCgPsstFOnTomIS6J/%20//6sOG2eeOIJJnlAEVhQ2Aj0DdYHkzTwpVwYcEdgIcdcBCYObZYUMGdlLzYCHdg90DfSOJkwYQIu%20M4477jhcXeA6nuXaPdCFjUAHNgJ94wiqJk2aMCmZfv364dNGoANFBH6XuHnywgsvZOlk2rVrR9+g%20SJk1a9bAgQP37t27adMmliXw22+/wTiEjz/+2HHb13PPPffCCy+whE9at24txs9RRx3FpMRYqlSp%20AoG+yfvkk08S2RJsBPpGDKqSJUsyycX27dvxaSPQgVcEli9fHr7iiIG0bds2/g0ziu64445ffvnl%204osvnjJlCpYvf2b5kCFDRo8eDeV//etfSD700EP0kIFatWrNnDlz1apVl1xyCZKojk9E3dKlS1Fl%20165d9913Hz3o9a233qpWrdrUqVNzc3O//vrr22+//b333nv33XdRBL755ps///xz9uzZONlB8sQT%20T4RZnO9UrFgRSRipX78+hNNOO23hwoUrVqy4++67kTzllFNgbc6cOTC1fv16CMgUKcgIvEz7GaFu%20qKKvn/JRxfFTgQKyL9UX+7x48eJ169axRDLHHnssPgMPMFtxR+DKlSvhJTenn34600iAdU9vF7/8%208stffvllLHesXWyYtMmMHDkS8dahQ4dHH330mWeegQ7OQdasWYMzlK5du95000133nnn66+/Dp0n%20n3wS+h9++GGvXr2wbT788MPXXnttq1athg8f3qBBg7Zt22LSsTI3b9785ptv1qtXD8p0T+aGDRta%20tmyJTxwdLrroIsTe9ddff9ddd6Hpe+6559lnn0UOeoV4Q1vIb9q06Ysvvogebt26lV7QL/3zUwFH%20IAn89z39CEEVKPv6hR36mFeWSEXnzp0R3vyHQRG3ERxBcSDE4Q3Tg0kVfzLSb7GQYK8DHdizUN/4%20CiobgQ4cEbhx40b6q4qChg0bbtmy5YsvvqAk9qW1a9dCeP7553EVR5le4NSxdOnSLOEBtkrsVyyR%20l/fll19+9NFHEK677jpqCNtjoiQUbAT6xkZgOjgiECds+Dz33HNxaYfLMMhY/TgvXbBgAa70kDzz%20zDMh4+qucePG+/fvx1UZrrJwQYWiPXv2jB8//sorr/z4449vvfXWNm3avPLKK4MGDUJUU7h+++23%20CKcePXocOHAA54c4Vdm5c2e7du1wzolSsg969+6NT5yCUhJXhnS19u9///uHH35ALZymZuptc25s%20BPrGRmA6OCKwU6dOiKKOHTviOoq+6kSQ3HvvvTt27EDU0b9VcME2btw4lH733Xd9+vR56qmnUIp8%20xAYu/Pbu3YvrQ+QggPv27fvVV1+1b9/+jz/+gAIuzGABwYmIQkMIyy5duqAtmFqyZAlySA1h1q1b%20Nwjdu3dHVD/wwAO4dERy3rx5+AQIv08//ZTkjGMj0Dc2qNLBXgc6sBHoBAfOnj17HnfccY0aNZow%20YQLLFbARmA42Ah3YCPwL+g3djeM3dxuB6WAj0EFBRiD9CCG9A0gNYoCq6FfkYaOIH/oNXYr4y7uN%20wHRwR6D7nkkwYsQIJnmAC7/Vq1ezROI/MUzKy5s4ceI333yD68OXXnqJZbkYO3Ysk7yhmyoeeeQR%20Sg4dOpSElStXZvAuwQKLQMc6pl8CEY307yEd/EYCwlUdsfQbupt169YtXryYJWwEpod0D3zjjTfo%20SxHCHZOHHXYY/SVl5MiRy5YtO/PMMzdu3LhkyZJatWohGE455RTEybhx46pUqTJp0iTozJkzBwaP%20OOKIn3/+uVWrVgMGDIDyK6+8gksMWJs+ffozzzzzj3/849lnn6U/uIAePXog5BDYt9566x133LF1%2069batWtv3ry5QYMG3377LQzyVx2/9dZbd95556mnngprM2fOhNqjjz6KzDp16iDs0Rk0jWX85JNP%20NmzYcO3atW+//fYFF1xwxhlnYJGjw2SEU2ARiC7SUqaQo1/AIVNSTah36JYrV27gwIEbNmyA02Ef%20B1RWkI+NwHTwOgs9cODAmDFj9uzZ884777CsfLCgb7zxxldffRUbIwIMO9vtt9+OoB00aNDdd98N%20ATOC6JoxY0azZs0QLQihnJyc9957r2rVqrt377744osRTvfcc8+2bdvI4Jdffokgv/zyy7GLli5d%20msLypptu+u9//7t+/fqzzjoL292vv/6KWNq5c2flypXRpeeee65s2bLU+U8//RQBf9VVV+Xm5t52%20220I+I8++uipp55CUcWKFXGY6NSpE+T69eu/8MILP/74Izrzn//8p0uXLp9//vlJJ52EkaKUY68D%20fWMjMB3U14GO1Zkphg8fjtXPEhHDRqBvbASmgzsC+bNYCNqRpGDPYVICepQL9Pm/ahR1I4uNQN/Y%20CEwHRwRedNFF+MRlEiUB3VIAli9fjjNPXPXxNSo+OaZ58+b4xBkmLvPwiXNOXIMtXbqUSmOEjUCL%20URwROH369EcffXTlypXTpk1DCM2dO5cel0SglH/hiavB8uXLL168GDm4+B89evRDDz2Ey3UU0V/b%20Bg8efOmllyZ040ShiEAcL3EoZYm8PMh0BLWYR30dKPL+++/Tk9Gym+yPQPrLnxuvfEuo6EdgIaEg%20I5BfUPm60ZagujqXZNLHFgA6gbEYxkaggwKLQPf9r76+4cCVgKb+yJEjmZTMqFGjmGQxiI1ABwV8%20FoooAojGyZMnk8AKvEHccs1Eba0Wcfl+wQUXQPnCCy8U/81kMYw6AhcuXNi+ffupU6f+/PPPLCuZ%20f//73/hs164dPrdv3/7LL79AOOuss3799dfc3NzNmzcjiYt8OvGhnyvo8S0oveyyy5CDKvv37//p%20p5+Qydmbj+N24R9//JF+Atm4cSNqIVomTZpEv3kcSLz999lnn00oMqCzbds2dAymkEQ3UB2aMIu6%20aHrPnj2kySngCLQUNtQRiBU8ffp0evaRFPpfYdu2bT/++GO6gf2FF16gJ8q8+OKLr732GoRmzZrh%20s0OHDvQjByIQ637ixIlXXXUVkm+++ebcuXMhiPTt25ceYl+tWjXKIWbMmHHJJZfQ17MtWrSgCERD%20SNJD8sW7ZxCl6FWfPn0gYwj0h/4xY8Yg8GbNmvXee+9t3boVRwrHj5Y2Ai1GicJZqNfDtQoEG4EW%20o9jrQAc2Ai1GcUTgKaecggunK6644oMPPkASl2f0y+2GDRvE+1FwasrfT0a3C+Ecr3v37rjQ+vbb%20bwcPHkxFccRGoMUojgikB3Jefvnl27dvx+UZhNmzZ+/YsQMxuWXLFnpiEsBFFP8Oo2PHjvikr2TA%20zJkz6etu6QMNok/BRODf8m+xJRLfaOqGLj32k/S5YIkL6ZyF7tu3T+fO2nhRMBF48FbZyZP5Lwr8%20fj9RVoM41NS0RAp7HeigwCIQnzyK6JPvZlSqhnTsBhg7bAQ6sNeBFqOoI/C6664Tbxf89NNPH374%20YZbIUmwEWoziFYEIPPo61A297Yhz991316xZk+RjjjmGBAf0Parmn5+2bt3Kv2jNzc0tWrQoyWaw%20EWgxilcEfvjhh153uC9fvpxJ+dx2221Tp05F0Hbr1m3Dhg3jxo1r0qTJV199tWDBgvvuuw8K//nP%20f3bv3j1p0iR6G+HLL7+MTwTk9OnT+/fvf+DAgWrVqj3xxBMLFy5EDD/66KMozcnJeeCBB3bu3Inw%20RgCDN998E/lhYyPQYhTFWeiQIUP2u54CiI3x+++/Z4kEo0aNuueeeyAg2Oh1DoMHD0bIDR8+/KGH%20HsIO+e677/bt2/eNN96gM9ju3bvTH0THjh2LYLvzzjtffPHFXr16IRMW3nvvvU2bNiEHAQkLiMPe%20vXv/9NNP0KRn44eNjUCLUVJ+E4MN6u23354xY4Z768tKbARajJIyAgsbNgItRrER6MBGoMUoNgId%202Ai0GMVGoAMbgRaj2Ah0YCPQYpRHH320vyUfrxfmpYONQIulILERaLEUJDYCLZaCxEagxVJg2PCz%20WAoMG34WS4EhD7+/WSyFGxYJIeMZfkzyg4FaxvyiQ9idCdUz0TEejFCbMNB/Qt5MsOYN1DLmFx3C%207kyonomO8WCE2oSB/hPyZoI1b6CWMb/oEHZnQvVMdIwHI9QmDPSfkDcTrHkDtYz5RYewOxOqZ6Jj%20PBihNmGg/4S8mWDNG6hlzC86hN2ZUD0THePBCLUJA/0n5M0Ea95ALWN+0SHszoTqmegYD0aoTRjo%20PyFvJljzjlpisnMClkjGUWvy5MmPP/44BGkfHJmXXXbZd999B0GqLIVr6jxK2KvPhKNRJMWXlup3%20Ca3QKBw4LMA41Kjbbn2HckrPuPNhnz+5HII4docyWUZPvHzo0BeTB9eB0qsc8QHQQPQtkDbhyPQC%20pggYB7TeRDTtpI+8mWDNO2phbrjvIHs53VFLTOosMiZpA6eTEa+lI0J9dneDcHdGzNGxD2Bc0zMA%20yporPqVn3MYxWWKm2Cu3MuCT68ahr7kSHHAjFB6OETmakPbQC4o9CFQry8OPVgw5nYYqzpyjlmNS%20HaViEmYdjqNSRxUH8DsWMeaSeqVWRimg8KMJE1t01KX1wTNhHzmo5Z5dEa4PQTocETH8HKViUscz%20buMAveX21eHHcyCQrPAMbLpXAj4xHIVzoEwKZI38z3E0AZBD1khQHIBgCsA49YpMiQbdxkNC3kyw%205h21yNfwAjkC7uZTqxiqI6mIRrhPXCKAvK+YUUCziIpU12HBAZWiIarlwNFVGiaUSeCDdQxBRLTA%209TkO+wDGpT4Eas9QqajjqI4+I4egHNECzySgjCZI5s4R3e7Qd68ESvIiL6BDgcSb4ziaIMgmOVwx%20sweDT5hQ6rloUGo8DOTNBGte6nSeSe6gpLgiHbXgC9IkpyjCD6CU/EhqbuNuuN9JWTFJQCwls2KO%20ozM094B0MPzELB88ylK+AyiQiwDqcpnjsA9giqs5Sh1JqWfw6VWdlAE6Tx32GilKeRHykaS6KcOP%20Z1J1L7eIUBVouufU0QQlg4Uf1fIab6jImwnWvIFaxvyiQ9idCdUz0TEejFCbMNB/Qt5MsOYN1DLm%20Fx3C7kyonilw49AB4p7pC50mAhOqcRF5M8GaN1DLmF90CLszoXomOsaDEWoTBvpPyJsJ1ryBWsb8%20okPYnQnVM9ExHoxQmzDQf0LeTLDmDdQy5hcdwu5MqJ6JjvFghNqEgf4T8mbQvMVSmGGREDKe4cck%20PxioZcwvOoTdmVA9Ex3jwQi1CQP9J+TNBGveQC1jfuH07du3ZMmSpUqVysnJYVn5hN2ZUD0THePB%20CLUJA/0n5M0Eaz5TtYYMGVK0aFHkE6NGjWIFLuVp06YhMEgNnHTSSaxASbly5ViFv/0N1efOncsK%20ktm8eXOxYsWYXoLDDjsMmaxY1nNNy5rACJM0cCurO4NMJgl4VUGSBI5ijgBymBQaGWmiePHiGGNu%20bi4+IbNcI/0n5M0Eaz4jtRo2bIgcB8ikUsgkgLZt21KpyOGHH86KPShRogRTFbjuuutYscDf//53%20ViyACGTFrp7rW9YE1ZmkgUM5ZWeQZFI+iioQSIdQzxFAkkmhkX4T9evXZ1I+PMdA/wl5M8GaV9Rq%20164dk1yItVavXo2kFBRBAQJpbty4kfLdHHHEEaTjBkVMyQUMMqUEONVkBS74WShkEoC+ZX1Ql0ka%20iMo6nYFMAqGugk+mpzFHADIJgIqkMI1USBePfnUpOK9hUjK0B6ZpXB95M8Ga96q1YsUKFIn7hohY%2064wzzkBSCoqgAIE0a9SoQflSSMcNK5Zx1llnMaUEuN5jBS5QRDqQSQBUJMVhWR/UZZIGonKiWTm8%20M5BJIKhUCqrgk+lpzBGATALh/jurO8cLLBtYwxJi6XwcTfjF67qA8tM0ro+8GXfz9LdU+mewV+e8%208vnl2b333suyBMRapOYFKWhqSmHFHjClBLzPbo488kjSgUwCoCIvmJIMXupWk+a4/99MiMqQFXAd%20EggqUsD0Ahnv0KEDk/Jx50jp3r07mS1SpAjLysfRBIBP+D+zU/6Xbf/+/UxKBteB+HQbDwl5M+7m%20KfwARuh16JJ2+qijjkI+x30mhkwm5eVVqVKF1NygCAoQSLNatWqUL4V03LBiGTDIlBL07duXFbhA%20EelAJgFQkRSHZTdwqfTv+ajLJAHKdN8uICofbNUD3hnIJBBUKoVczfQ05ghAJoEjXhmKsgI66eXg%20gMgKEiCHSQJYpfAMX6sKYrn7YZUg9gCSOAw7jjHuWu5FLH6/RCCTSVG69gOOrz0Jr69e0rn2gxvF%20+184qMukZNx33wBROVLXfsTSpUvpS2N8QqZMNaVLlyaznAEDBrAyb+d45Ttwr0Miotd+4hGF736O%20deCotWfPHuS4OeGEE5hGAuQwKcFFF11EaiJ16tShUsgkgGDffEKBqQpcc801rFgAC4UuPDhIKn54%200LfsAP6EJksIeGXiIOgOV4dyys4gyaR8FFUgkA6hniOAJJMEypcvj89TTz2VkmqwSMisAywqUoBM%20ggitTOnhyU2cvvl0hB+mHzhOgRy1jj76aORIGTFiBFOStTVq1ChSA0WLFn3sscdYgUsZpwrizwNl%20y5ZlBUqgxiokLiqmTZvGCmTk5OTgYq9kyZL8nJOD6kzKx5dlgp92ogoJHEWOjrK6M8hkkoBXFSRJ%204CjmCCCTSck0btyYSUqwPMiyG+n3XgTfFSBIT+bdYK/DErK/++lizC86hN2ZUD1TIMYffvhhJqWN%203y75IlTjIvJmgjVvoJYxv+gQdmdC9Ux0jAcj1CYM9J+QNxOseQO1jPlFh7A7E6pnomM8GKE2YaD/%20hLyZYM0bqGXMLzqE3ZlQPRMd48EItQkD/SfkzQRr3kAtY37RIezOhOqZ6BgPRqhNGOg/IW8mWPMG%20ahnziw5hdyZUz0THeDBCbcJA/wl5M8GaN1DLmF90iHVnQnW7Ac9EyvmBkY8h2NgM1IqU02PdmVDd%20bsAzkXJ+YORjCDa2DNbyuse8QJz+eQKWEIjUCvDbGam+131hGTHu5cZguJu49tprS5QoUalSpQkT%20JrCsyCN3q193ExmptVl5jzmSJJjkmGOOkf6PtEA644Xfzrj1FfeFpW8ceLkxGGITXbp0eemll1gi%20wSmnnMKkaCN3q193Exmppb7HHDIJxqhYsSL1AQLLysfRmaZNmzIpmUGDBjEpTBydSYlbX3FfmFtZ%20jVtf4cZg8CamTJmyd+9ekkUqV67MpAgjdysfmy/Sr5XyHnMIpCnia937Un7ttdeodQJJVpAAOUxK%20sHz58jVr1rBEPl7/rAeZDVdHZ4CXHWrXoa++Lww5TErQvHlzJgmImQ59tRulpHQO7JDQsWNHEtwM%20HjyYSVHFOWcEHxvnu+++Q6b7NjMRdy0dxFop7zGHQJoivta9L2XxaUIASVaQADlMykf81z8YO3Ys%20k2T4DVfqA93qRQIrSIAcJgm4raFFtAtB1E95XxhymJSA/qbMEgnoX8ss4dJXu1FKSufADgnr1q0j%20wY3j3poIIpkzwMfGcee40dFxI9ZKeY85BNJ04GvdaypjsqlpEekKEGndujWT8vIeeOABJnngq9uA%20Yg8C/3c/R9oZ4LDJW+T6OveFIcmkfBw3vyruhU3pRi/UzoEREhS3U2reAVOAyOeMj42DieeZNPdu%20HXeODmIt92GYQ/f7QCBNN77WfUrlYcOGUbtuUEQ6kEkQWbBgwbZt2yAcf/zxlKPGV7cBGtW/NR6I%20NsW2uL7OfWGQSRDhpeLtYwTX13GjAoVzYIGETp06keAme04+CeTj/JPCDwIdiTletdQ4aqnvMYdM%20ghtf695vkEjx6kzVqlV17vQj/PakQgKWEFB4pkyZMvhEK2iLcoBC341UuVevXg6B48u4AoVzeBOF%204qsXfsSFEGr4qe8xR5IEKb7WvS9lKYrOdO3alUka6PeEPC99OIXaM7CPVlgigVrfgZdyjRo1atas%20yRICvoyr8XKO2IT7h4eTTz6ZSdFG7ia3++hyn/JJIKiUcCQ1kdbyusc8ZRO+1r0vZTfBxitFpydo%20jlrEERCCYw+kIi/c9tX6DryUVyZgCQFfxlMidY67CfrZvWLFivZndx/4qpXZeU2TWHcmVLcb8Eyk%20nB8Y+RiCjc1ArUg5PdadCdXtBjwTKecHRj6GYGMzUCtSTo91Z0J1uwHPRMr5gZGPIdjYDNSKlNNj%203ZlQ3W7AM5FyfmDkYwg2NgO1IuX0WHcmVLcb8EyknB8Y+RiCjc1ArUg5PTqdCdCTUN1uwDPRcX46%20yMcQbGwGakXK6dHpTICehOp2A56JjvPTQT6GYGMzUCtSTo9OZwL0JFS3G/BMdJyfDvIxBBubgVqR%20cnqanVm5ciUseMGU9PCrD3xVMdAfvxhowgDyMQQbm4FakXJ6+p1xv+UDDB8+nEnaKHpy1FFHjR8/%20niUEQnV7RqZp3rx5rVq1wkFq165d48aNq169OitIkJEmChz5GIKNzUCtSDk9I51p1qwZk/Lp168f%20k7Tx6knNmjVRJC31qiLFlzLwq++mW7du/GVGnFtuuYVJGXJ+gSMfg3tsyAH0z0/6tyGElO/3Awer%20JTQBCawgH2QyKQHd10uZXOA4koB0vG5CdUP6GAI1JL17gKNWRg6T8qHbsiifC2qWLFmyadMmlnDd%20OCdCBjFMakX81zWSTBKYPn16osZB3A9ZQSaTEtDsUCYXOI5kSvzqO9i4ceP8+fNZIpljjjmGhDSb%20iAjyMUjHRouP3/rgXuheHqF8rGBAOSLSWpSp2QTUaC26b0KVwm/acB8L3CiUpZ2h8ICgDmyRc845%20h4SJEyeS4AW16B6mtCeOW7cuueQSVpAAOUwSoEx3kVRZgV99BxdddBGTXMyaNYuENJuICPIxSMdG%206wmrkCJQPPoSCo+gyCs2pLUQqNLl69UE8vlxQQfou2PbCy9lr85AWT/2iPbt2+PzrrvuoqQCNOo+%20irl7Ir1tcuHChazYo/OYXF9u98KvvgNFdf6QizSbiAjyMUjHhngDWOVeI1d4BEVe4eHLmpcyFo2v%20FY8IUfTWgZeylwUcaPSNEziolytXjiWUwHLK3e/6669HjhvxIStIMkkAgS3Nl2Yq8KvvoF69ekxy%20MXPmTBLSbCIiyMfgNTZa4ggkaSx51SJlr91GWouU3UVSZX5y6N6QpZAaarnXsRuFstd4aXfyGq8X%20u3fvZpI35H+1Wz755BMkFZAaF0RojO4iqbICv/oO7LVfinz3WgTSWsikfCwdCO64pVIOljtXO1gz%20udSRBFwHVSCk3AO5PsKVy15wBamyIwlojBBoG3ErpAM3SII4BZTvC0cV8h4daw5aTy51JFPiV9+N%20/ebTNwZqRcrp0elMgJ6E6vaMeGbu3Ln8d7/x48fb3/1SYKBWpJwenc4E6Emobjfgmeg4Px3kYwg2%20NgO1IuX06HQmQE9CdbsBz0TH+ekgH0OwsRmoFSmnR6czAXoSqtsNeCY6zk8H+RiCjc1ArUg5PTqd%20CdCTUN1uwDPRcX46yMcQbGwGakXK6dHpTICehOr2SE1TlJG7KZj7DNSK1LxGpzMBehKq2yM1TVFG%207qZg7jNQK1LzGp3OBOhJqG6P1DRFGbmbgrnPQC1RGbIX0kcvO/B6kbIbr7cioyEmCVx22WVFixY9%207rjjQnrWsrRRaaYaX1X82nfr5+TklClTpmzZso63hRdy5G4NMJ3AQC2HsvTO1AYNGjDJG8WLlN1o%20vly6TZs2yBE5/PDDWVmG6N27N8w+8sgjLJ0PMpmkja8qfu2L+ps3b65bty5LJECSv7SjkCN3a4Dp%20BAZqOZTdd6a6716VoniRsgPNl0uPHz+e1BwUKVKEaWQCHAXILEvn485Jia8qfu2L+o7YI6SZhRC5%20W0X38f8xEvSfTPc9L4CrqV9r7EA0nhK3snh/6qZNm5YsWcIS3qhfpCyi/3LpI488knTcKN4yRwqT%20J0+mv1xK/0nLEV/969iNkcOkfOguDcrngogjR/xTKxc4YjLlm6UB11ecatqzUJDkZY7D+1gcfGUg%20Gun/0G7EWu7Xl/LXGjtwtKVGqszvUuX3rSpI+SJlEfVbkZHDpITsBaKdKcmAAj7pv84KWrduTdY4%20LVq0YGUeboFNuutC+jd0aRXKdBeJOSnfLA24Pr1aUIqiqPAgmQPgmADEnphD4YccgjKBKAOv1xo7%20cNRSI1Wmu1TpjlU1Oi9S5qR8KzKSTBK84YZei60AOurwW7t2LZlygHxSgEyCA4Sf1y0g0iqat9uq%203ywNuL7i9c7Rf/OzAeTT5nA3wg9gidDcUPghh8uEo5bXa40dSNeBF17K5cqV448hUKDzImXC78ul%20FSefjz32GFPyADpY9ywhg1+pOihWrBgpQCbBAebIq0iar3+7reLN0oDr25NPNVpzQ5GGTDpIi7vf%20weJ8HEkgfa2xA3ctBV7K27dvZ5JBxM5MmTIFSTcpv3pRnB/qg4aYlIzixl9pFT7RlOS4cxRvlgai%20vv3qRYF82kT3YWVQko7QkAG/nRQktA4iyhz3a40dSGt54Us5bBydCfDDA6lxQb0HKiAjInzWvG78%20deTgkIocOrwm1JNKHUnC683SQNS3PzwokLgVSN0twheKuGKktVK+NjllWyK+lMNG2pn69esj6o45%205phnnnmGZYVPALek7/aVCVgiGbc+TjVxsYezIXvOKSKfgwDTCQzUCtZESESnMwF6EqrbIzVNUUbu%20pmDuM1ArUvManc4E6Emobo/UNEUZuZuCuc9ArUjNa3Q6E6Anobo9UtMUZeRuCuY+A7UiNa/R6UyA%20noTq9khNU5SRuwnus1gMwxZfYcIz/JjkBwO1IjVJ0elMgJ6E6vZITVOUkbspmPsM1IrUvEanMwF6%20ko7bV69efeGFFyITn5BZrkB0PBNx5G4K5j4DtSI1r9HpTICeBHZ78+bNly1bxhJ5eZDd90BEapqi%20jNxNwdxnoFak5jWDndm3bx+TAhGgJ8HcPmrUKBIcjBw5kkkJIjVNUUbupmDu47Wk9/UB6X2AwdZB%20FPDqjNf7nBWkrKK+yy6AW4K5vVu3biQ4cORHapqijNxNwdzHay1fvnzNmjUkc7xuqwu2DqKAtDOK%209zl7oVNFfZedr+YIX1W48oYNG0hw4MgP0J/CidxNbvfRf+G/++478Q4jB2Itx919jnv/RNxtoQn+%20J31qlyOdV54pLXXjS1+h7M5Rv89Zin4VxV12qMskAWTSHQ/SKXNXQQ552+FzwJXF92CL2PALhtxN%20Xu5Tu9VRKt7jJ97750BqU7yxUMSrA9BXHBfcwI7+7QVeyu7OqN/nLMVXFa+77FCRSckgnyLQjbQK%20Zbrv/eXK9uQzs3hOG5MEeCYEkh0rnisQCxYs2LZtG4Tjjz+ecqQ4anGk+V7KCA/1DeMOcIB3H+O9%208FJ2dCbl+5zd+K3idZcdajHJhfRmP+BVRZrPMx1fsXAcX8ko+mMR0Z0DrG9xCZKsDj9QtWrVadOm%20sYQH0qlCczhsu5eO17yiP76mHPb19b2UxUyd9zk7CFAFSO+yQy0mJYOTAvhQugFKq0DfMdGEqGx/%20eMggcje53Udng4BCQjP8QID7/bACuMBlQtoE74bmrPOo1tFXKPMczfc5iwSoQkjvspPq80x1KYdP%20MQRHxDqUV69efcEFFyDT/uyeJnI3BXOfgVqRmtfodCZAT0J1e6SmKcrI3RTMfQZqRWpeo9OZAD0J%201e2RmqYoI3dTMPcZqBWpeY1OZwL0JFS3R2qaoozcTcHcZ6BWpOY1Op0J0JNQ3R6paYoycjcFc5+B%20WpGa1+h0JkBPQnV7pKYpysjdBPdZLOnAVpJFiWf4MckPBmpFal6j05kAPYmv27MJuVuDudtArUit%20g+h0JkBP4uv2bELu1mDuNlArUusgOp0J0BNHlerVq48fP37Xrl0rV65s1aqV1xuLLJlF7tZg7jZQ%20K1LrIDqdCdATscott9zCpHz27Nlz++23s0TE3J5NyN0azN1UC4dPCF6Qpog00wuunDAmx/2frJBA%20W0zyj18vqUmnyjHHHEOCg/nz5/MXjwawb9FB7tZg7ua16tevT4KI9D3swFdbonLgF7tnijQXpS8v%20qQnQE15l5syZJLipV68eCWmO1OKF3K1e7hbz3Tpijvsd6+73sBNuO531brcN/GJ3bsTdtBuFsrQ6%20MhU3uTrQ9xJYlHitN8ncP0SAnvAq+/fvJ8EN15Hat6SP3K1Sdzvm0q0j5ixZskS8M9r9AlSOtC36%2097173TiURbOaL3YnYMdxL4UCL2VpzwHypff4uNH3EoFuSG+tCtATXkXxWlK7+4WN57QxSYAyeZFb%20x5HD37TO370uRdoWkOa7M3292J2DRezYVxV4KXv1HDh2JwWaXuJouoXj1RNexV77FSByt3rNMUEH%20VAiUz3Hn0PvW6d3rXrhrARzm0Yp76biV9V/sLgL70naleCl7WcDWjZ5rboBAx0uEvucJRU/EKvab%20z4JC7la3u/m9mIBK3TruHJzYlCtXjiU8cNfiZ3oQuEy4lYHmi905PKql1hwolKXVeaaOcULHSwBR%20RIGET3E6QICeODKrV68+btw4+t2vZcuW8+bNYwUJ9Mdi8YXcrcHcLa21e/duJnngq61gTYREBhdl%20mkMI0JP03W5JH7lbg7nbQK1IrYPodCZAT+Lr9mxC7tZg7jZQK1LrIDqdCdCT+Lo9m5C7NZi7DdSK%201DqITmcC9CS+bs8m5G4N5m4DtSK1DqLTmQA9ia/bswm5W+Fui0WErQxLRvEMPyb5wUCtSK2D6HQm%20QE8i5clCi3wOgs2No9a+fftuvPHGI488slq1ahMmTGC5LsRaX3311WWXXYYcfEJmuQKRWjTR6Yy0%20J/B/z549jzvuuEaNGrn9HylPFlrkcxBsbsRaF198MZIiRxxxxObNm1mxAIpIqFq1KmlyTjvtNCri%20IJNJESA6nXH35Morr3T8dF67dm3R/5HyZKFFPgfB5obXuv/++yG7KVKkCCmIIB+fHTt2JB0HyCc1%20AjlMigDR6YyjJ163TTRp0oRJEfNkoUU+B8HmhteSvriHcP85E5n4VFQhNcKRDJWcnBwmJdO/f38S%20vDoT4O22atSvtgWOnjz88MNMctGjRw8STHrS4oV8DoLNDa8FwQv363uQSZ9ekBrhSIZN+fLlmZSP%20mCPtTIC326ZE/Wpb4Ghu+/btTHJRsmRJEjLbQ0sw5HPgnhueo5g2UceLsmXLkg4HmfTpBakRjiTB%20M6WlbvT1cbG0dOlSlsjLg6y+fPL7dtvvvvsOmiQ7/kXtQPFqW8CNEDNmzGCSi2rVqpHgqGIpEORz%204JibRYsW8TsP6E/3UngtxZnk4sWLSYeDTHyWKFGCFBw4FjFymJQM1q7O3eUc2HHcS+GF+PSKhg0b%20MimBuzOOgeu83Xby5MnoCZRZ2huvV9sCR/Vjjz2WScmsW7eO+1+nRUvYyOfAMTdY2Y53x9Kh2qEm%20JiG7Oe+881ixAPK54IaKOO4cAis4vLfb0tc/HTp0oCTH0Rm/r6rlqPc9jterbQEaYlI+ffr0YZLA%201VdfzSRvT1pMIp8Dx9y4F2vK8AOlS5dGDvF///d/o0ePZgXJoJRJeXmHHHII6QPILFcA+UxKBt3z%20KpKiueEQNHaHB4BoIdirajnQZJIS6attgbR6uXLlBg4cuGHDhjlz5mC+HHfTa7ZoCRX5HLjnhueQ%20wD/Fc1F3LR181ZIqKx4/I8XX7baEVJNnBn5VLeCbtlqNWJmAJQR06joIUMWSceRzEGxuDNSK1KKJ%20TmcC9CRSniy0yOcg2NwYqBWpRROdzgToSaQ8WWiRz0GwuTFQK1KLJjqdCdCTSHmy0CKfg2BzY6BW%20pBZNdDoToCeR8mShRT4HwebGQK1ILZrodCZATyLlyUKLfA6CzY2BWpFaNNHpTICeRMqThRb5HASb%20GwO1IrVootOZSLnFoo982gwEEsdXrUits+h0JlJusegjnzYDgcTxVStS6yw6nYmUWyz6yKfNQCBx%20fNUSlQcNGsSkZJo2bcqkkDG86A899NAxY8bs2bMHn5BZbgLDPbFkCvm0GQgkjq9aDuXixYszKZ81%20a9YsX76cJULG5KJv27Ytk/K56aabmGS2J5YMIp82A4HE8VXLrTx27FgmJahTpw6TwsfYovd6AQvP%20N9YTS2aRT5t7OumWAg5y+B+XOZTvgPQfT0ACK8gHmUxKQHegUiYXOI4keOCBB5iUl9e6dWsmeUM2%20K1SoQA2pb/ZRKyOHSfnQY9oonwsKSAe+7dy5MwmsIJk33niDScnwfNQlwRIv5NPmnk4KG1p/Xnfc%20ei0CykctaUVpLcrUjPAyZcrgc9u2bQsWLKAcNVjrtNDdxwI3CmVpZxYtWkTdVgc2h4yob1b0ev/R%20jh07SJD2xBJ95NPmNZ3ikuK3+XAUiwBFXod2aS0EqnT5ejUxbdq0qlWrsoQGsOOObS+8lL06A2XN%202CNgRx1+AwYMYFIyPN+rJ5aII582r+lMJ/zc+oRXLWm+l3LXrl2ZpAciRNFbB17KXhZwoNE3DqCs%203oe9XnzL8301Z4kO8mnzms5g4UeaXruNtBYpu4syss5oq0GQeG3IIgplr87QObbXeB2QWsrd8rzz%20zlu1ahVL5OVBFp/ckRG3WMwjnzbpdGL9IZ+KsFzcOu4ckKjxV5WUQYvlztUO1kwudSQDwG1iw+Gy%20F1xBquxIAu4WRGBCXWUccB0S1HvgV1991bZtW6jh0/EEfmQyyRIr5NMWbDoN1IrUOotOZyLlFos+%208mkzEEgcX7Uitc6i05lIucWij3zaDAQSx1etSK2z6HQmUm6x6COfNgOBxPFVK1LrLDqdiZRbLPrI%20p81AIHF81YrUOotOZyLlFos+8mkzEEgcX7Uitc7sorekiXwB2fDTwYafJU3kC8iGnw42/CxpIl9A%20Nvx0sOFnSRP5AsrW8Ktbty6Tknn66aeZJOO0BCwhkJHwK1++PH8RSsWKFSdNmsQKLIUA+QLK1vDb%20vHnz7NmzWSIf9xs/RZ599lk0CiCwrHzS7Ay4//77mSRwzTXXMMmS7cgXkHth8T8xAl9/nqYqjycg%20gRXkg0wmJUioy6FSUuNQEbpEfxZN+Ufnnj17MimB+yEODo444ghqArCsfNw5aJ1rcsELnZdgWrIb%20+fpwrxv+f3/FkvIqonwEMKAcEXetwYMHMymfIUOGkCBtgmIPgvumBCn8CTErV6784IMPSJZSqlQp%20tMg58sgjWUEC5DBJAD2hQ0DKmximT5/OJBenn346kyxZjSpg3PD8zp07Y5E5tjKvWgBFXrHhruU3%20/ADy3fdSKHj00UfxeeWVV1JSCq73YNaBeBGIJJOSgWdSxh749ddfmeSiZMmSTLJkNZ6rmUkCCDba%20ZIB0rXstR4Air/CQ1hIzvWQRLHedFc+ZNGmSeofhl3xu+EUgZBIc0J1ZLOHNww8/zCQXPXr0YJIl%20q5GvEunq4esbgeQr/EiZTsnceNWiPZDve4RUmfZV8ehgBq+e0zm213g5/fr1Y1IyTZo0YZIl25Ev%20IPfCQg6HvuRw7zbIZJJAosbBfOhDcMctlbrRDL+D1hOZsAzB1x6YJtSuCI0RAiLwYLc8hsbB2e+8%20efNYIkHt2rU3b97MEpZsR74+Uq4bKRmv5S4K1kRIZKQz+/btu/POO4899thGjRpNmDCB5VoKB/IF%20lPFAUuCrVvaFn6UwI19ANvx0sOFnSRP5ArLhp4MNP0uayBeQDT8dbPhZ0kS+gGz46WDDz5Im8gVk%20w08HG36WNJEvIBt+Otjws6SJfAHZ8NPB3Rl7857FF/LVbMNPB0dn7M17Fr/IV7MNPx3EzmTNzXv3%203XffxRdf3KFDhz179rAsS2jIV7NjlSPJ/0sJ+TI/L9xCJng8AQmsIB9kMimB+G9JLnAcSUA66BL9%20EzXlH51JH8OhhtT/EVUrI4dJ9uY9SyCcq5kQFxbROfklr24FIM0ElI8VDChHRGHKHUtSZYo9CJq3%202zrGokahLHbG3rxnCYBkNQP3KqfDPwQefkCxGzhAkVdsSGuhOem+5NUE8t33UiiAfsp9kuOlLHYm%20K2/ewyy8bRH45JNPmGsyhOdqZlI+tHEhX9z9EFHihuauxUGRV3h41ZLmeykjVqXh6gXCSdFbB17K%20YmZW3rxnvzdycNFFFzEpQ8iXoHu18TCjIvp0bGjSNQoo8Lx2G2ktUnYXSZX5yaHm7bb8TNXRfykK%20ZUdnsu/mPRt+Dgom/JDkObT7IRqR41juXEckUfVgPnYnCO49kEo5sMnVDtZ09YRJ+XAdVIGQcg/k%20+hgIl73gClJlRxJk2c17NvwcFNjup4OBWsGaCIlIdSYMHOG3f//+AwcOiDIONzwHMj4pCRlAJ1Fy%20MBMgSfmUGUds+EVoxRe28AP8sah//PEHnY2/++67u3btuvzyyyHTk+POOussfO7YsQOfjRs3XrFi%20BYQZM2YsW7bs+++/h1y6dGl8xhEbfhFa8YU5/H7//ff//Oc/H3/8MeQqVapQ5tdff71p06YzzzwT%201yY5OTnIQYjiPBzC9OnTP/roox9++AHyF198MWnSJArLeGHDL0IrvtCG359//pmbm4uIgoDkv/71%20r71790J44YUX8FmjRg180v9d//vf/+ITF8Nz5szh4bdgwYKFCxdCiB02/CK04gtb+M2ePfuMM84Y%20O3Zs+fLln3/++Xbt2o0ePRqxh6ITTzwRMoJz48aNpUqVGjdu3IMPPrh+/frWrVujFLE6dOjQu+++%20+7HHHhszZkyHDh2QOXLkyINGY4W58LOEAfNvTHDvfoUcu/tFaAXHLpz8YsPPgQ0/0yseZ01nJ4DA%20svKx4VfYsOFnbsUvX77csf6QRCZLmO1MgWDDz4ENP3Mr/sYbb2SSwA033MAks50pEGz4ObDhZ2jF%20d+3alUkueJENv8KGDT9DK15xkx4vKrTh17x588MOOwzDL1q0aKdOnVhuIaDAwm9RAgjuP/5zvJYj%20z5cquDM7J97dSbKjObUFaakbHf2qVasyyQX/k4dmc/HFHX779+/HqB0UKVKEFWc7BR9+Cty1CFRE%20RHndiyCtRcopb4/gQN+trAB26NYNL+bPn799+3aWENixYweKSPbqTNbgDj/pG3/BeeedxzQSIEpn%20z5793nvvzZw5k/4Z40X16tXxefPNN1PSwW233UaC+7bJp59+euPGjSxhioIMP3I0ZLr3D/uSeK8t%20cNfieN3sB7xqSfO9lPVv9iPQece+6ub8889nkoCYqRhvduAIv71792LIXjClBPToDXrIzZIlS/74%2044/du3fn5ubS45t27tx5UCkBLWgKUdRC3P72228HDhwgTcpHzu233w4BoAjdgNrHH3+8YcMGWEYm%20VYTw+++/4xO1SEBD0IeQKSKx+3ntM+5aHLo/kCWSkeYjnFDFHbReRhBLitbd0P17LOFNTk5O165d%20lyWA0L9/f1aQwFeLccQRftu2bcOQvWBKAvwsfdiwYZ9//vm333777LPPtmjRAjnHHXccFWFBI3gq%20V678ySefbN68me6WmD59+vPPP4+ow2a7cuXKNWvWcFM1a9b85ptvypcv/+mnnw4fPvyKK65AoCLn%20jDPOuOuuu6CMkBs3btzQoUPpwRB9+vShihkhEuGHwKAzN8cGIp0DwNWkCu5MfloIgcuE1AI/HHh1%20wAGPak19L9KsHn0c4Yd4wJC9YEoCPGbOOeecV155pXnz5lu3bkWcIOfSSy+lIlrQOAW96aabIDRr%201gyfr7322sSJEyFg/6RD3q233opP0LNnT3wi0t5///1NmzZRD7E3VqtWDYFXqVKlL774YsaMGVu2%20bEFv27Vr9+ijjybqZYYCCz8dDNQK1kRIRKozYeC+9jv55JMxajfuhym+8847f//73z/77DPIU6dO%20/eWXXxAMkHHsvvzyyxFgCa28YsWKvfzyy4cddhiutHEBWaZMGWSeeuqp119//VtvvVWkSBHkYw+s%20Xbv2jz/+iKJ77723U6dOgwcP/ve///3QQw8df/zxCOyGDRuWKFGiV69eTZs2RUPo9r/+9S/o33LL%20Lc8991yincxgwy9CKz5SnQkDd/hJL/8QPJm6h71ly5ZM8gAxxqSCwIZfhFZ8pDoTBu7wA4g0rMJD%20DjkEw/+///u/q6++mhVkgo0bN+7evZslZGzYsIHuoy8QbPhFaMVHqjNhIA2/wowNvwiteBt+hQ1z%204WfRgfkrS7Hh58Duflm+4iOFDT8HNvwyEH779u3r2bPncccdlx0Pww0PG34ObPilG37Z9yj48EgZ%20fsOHD2dS4cCGX1rhl5UvQgkPdfhVrVoV0yH93/OLL75488030x8ypRx99NH4HDVqFCUd0F9ewCmn%20nEICJ/Db2rZt23biiSeyRF7etGnTxo8fT/K4ceM+++yz66+//s8//1yxYsWmTZso340Nv7TCLytf%20AxYeivDr06cP5gIccsghLCufRx55hM4mbrnllh07dnz11VfPP/88kuvXr8eiT6gcfDQoPt955x18%20vvzyy1jxy5Yt++GHHyAjaN966y3kz549+5577jmonZf3wQcfIKQhXHjhhUuWLNm+fftvv/1GDxF9%20++23165dCwF1t2zZclA7wapVqzZs2ADh9ddfR3UIOM2ZM2cOBHoG6ejRo+nvkNQNOl788ssvRx55%205GuvvfbSSy/9/vvvjueR2vBLK/yk9xAR9iWYbrzCj/5Az6lVqxYrSIAcEj799NOpU6fWrVsXcfXF%20F18glt57772PPvoIRU2bNsXnWWed9corrxw4cIDOPp588snFixdv3bq1UqVK7777LvYr+gsortVP%20PvlkCJdeeum5554L/SuuuOKqq65CeCBOHnjggccffxyBjeQ//vEPqBGXXXbZjBkzli5dum7dOsQ/%20zNasWRNdgln6+9uDDz6IYHvzzTfLly+PJMIPkbx8+XJEKZIXX3wxDDquSgoy/Him191D0lqA56vN%20cjqHdrst5oNJLqpVq8YkSz5e4XfooYfC1SLiRSCmj3ah/v37Q7jhhhvoBff073mELj4p/M4+++xu%203bpBoKfxDhs2DAGAkED40UN4u3fvjk9Ad0IgkuvVqwehfv36bdu2hSaiFzvneeedR//M/t///ndQ%20OwEaQisISyisXr0aPUH4ffnll6hFz+qmb93QIk09wg8hivA755xzkETE0u4qUsC7H90F6zf8FkXm%20dttjjz2WScnQ+mAJSz7S8DvhhBMwC27gQ6aRl9e7d28skl9//RWLGwHTtWvXVq1azZo1i97EAurU%20qYMD6wUXXLB3717EEs0LNhxEHUIIVXBuiWBD+NENe4gQqEFAFUQUinAd0alTpxYtWsybN69Lly4o%20wgntmDFjxo4di9NdJKHWoEEDCGj6sccewwkqTlyRRAjdddddEJo3b47zZJweozMIRZSiOZjCWS5t%200c8++yw+RQo4/HAAg9co/Nw6XrWAV8QCr1rSfEXH+P1QaqQ3gGX2j4tZgzv8sMkUL1787zJwycSU%20/IOTSSZ5wO9dSgn2YfX99TrgdBcx7P73acFf+6EoQPjR1QJLJCPNRzihijtovYzgoKBo3UG5cuUG%20DhyI63JciGPb5N+zWRwovnopnBR8+AEqdesoYoMEqYI7ky4SSOAyIbXATzu9OmAJhg0/B5EIPy8M%201LIBZhJ3+L377rtM8mDr1q309KRPP/0Un7hyO/vssxMlef/3f/9Hghcff/zxsmXLUt7R17Zt2/ff%20f58l8vKuv/56fP7www/0IkHwyiuvkJBxbPjZ8DOHO/xmzpy5cuVKhBYEylm4cCH98v7QQw/Rz3r0%20OwS9eROZPPwaN26Mz5deegnhsX///lGjRm3ZsgWfq1evRv5vv/2Gq8evv/76nnvuoevzGTNmPPnk%20kxAQbA8++CAEMH36dHzed999lARkv0mTJm+//Tau1u69917KDwMbfjb8zOEIv3379rVr127o0KE/%20/vgj32oaNGiwePHiWbNmQX7uuecQigi/nTt3Dhs2jL5ppM0QXHrppbt27XrjjTdwSf/yyy+vX79+%2006ZN2OumTp1KChS31157LcIbV+ZPPPHELbfcgipo9KOPPqJvVumH+NGjR9Oj0ADZ//bbb+vUqTN8%20+PCff/45vN+QbPjZ8DOHe/dr3779888///vvv2OtUw72nBtuuAHxgDihp5Wde+652NwQfpUqVYLC%20mWeeSZqIOmx3a9euRXVE7AcffIAAw9ZHP+UB+sHtzjvv/OKLL1atWoWoGzx4ME5fe/fujb0UOSid%20N28ejKMbiRoH4bsr4hn2u3fvjo106dKllJlZbPjZ8DOHI/ywBXXq1Klr166TJk2CQP+NnDJlCv2M%201qFDB+QjBm6++ebx48fjc/v27chEjCVq56HKd999h4h69NFH16xZ06ZNG2TiZPKZZ54hhYkTJ2Jv%20hFq/fv1weolrvBEjRsAC9sAePXrwpzzefffdaAXR/sgjj2Cv69ixI53ooi4+Edv0q3oYmAu/wgkb%20vyWBe/eLDlu3bqUfx01idz8bIeaIcvgVCDb8bPiZw4afAxt+TuUJEyY0atTouOOO69mz574MPW3S%20Qtjwc2DD7y/lzZs3070hnHnz5l155ZUsYUkbG34ObPj9pex1i7rXLe0Wv9jwc2DDjykrbk5X3NJu%208YU7/LZt2/adDLqvPOspsPDjOYpo8SpS13Vndta43VZxc7rilnaLL6ThR3fTORgyZAiTPPjPf/7D%20pAT8zSc0vzk5Ofj0eh0K/dFMze7du1esWPHNN9/Qv2H++OMP+tMpeOSRR0hIn4IJv0WLFvE7D3Co%20I8GNNLpAGLfbKv5YpDNbFh2kJ5+PPfYYk/K57rrrmJSgd+/e+/btc0w33a7OueGGG5iUgJfyxx/5%205ccff5w7dy5LJA7B/I/XFStWJIHj6LA+BRN+CAPHzay0OznUvMIP8N3MjVctaT7PXLx4sXh7tYjX%20Le0Wv3hd+4l/K1myZMkvv/zCEgmmTp1atWpVesFtu3bt7rjjDuxIZ5999tq1a5966in6F/U///nP%20kSNHLlu2jN4LX716dWx9Q4cO/fe///3ll1+edNJJyOQbZrFixT788MMqVao8+uijZPbAgQNvvPFG%20y5Ytn376aXSgYcOG2JYXLFhQqVIlFF111VXPPPPM66+/TtVLly6NooEDB3bo0OGFF17A7o3msE/i%20OPLss89+++23t912G0rfeeedKVOm9OrVa8yYMe+9916ZMmVwLBCfXgEKJvxwhiCeBGIDpGh0BJUi%20/FDFV5hhs0UVd9CKytLFcf/99zPJkjZe4bdlyxb6nxfg9yJwli9fjt2vRo0aCCQ6A8Rs0j8zhw0b%20Rg9Zpd2vefPmtKDpb9OIzI4dO0IYN27cDz/8AIG49tpr8dm9e3cY5BeZ559/Pk5zTjvtNMiIQ4Qf%20dr8RI0bs2LHjxRdf3LVrF91+Aeivp3Xr1q1fv37fvn1hhBo955xzEI3t27dfvXr1JZdc8tBDD82Y%20MePCCy+EgKi7+uqrMUx+YwdRMOEHeA4J4ifHXYvgoStVcGfyE10IXCYcypMmTcKpxZw5czArOIDR%20I6ssmcIr/ADOMPFJ99o5wLkSNkAq+sc//jF48GBcmJ1wwglIYpUj5DCnSOJy8c8//0RsfP/992XL%20lv3kk0/atGkzaNAgevjn8ccff9BWgvPOO++LL764/PLLsUPSWkJ4Y29s0aLF888/j0xssG+99Rb2%20RmzLn3/+ORqFEf4W/gsuuIAe34KYRzhBqFy58vz587H1rVq1Cjvn/v370ZlXX30Vu1+jRo0Qxu++%20+y6Cc/bs2Y7blwos/HQwUCtYE5ZgKMIP1KlTx+v8P33efvttJkUJG342/MyhDj9sGkzKNHfeeSeT%20IoYNPxt+5lCHXyHEhp8NP3O4w++PP/4Q/1ibm5vLJBmi5u+//067JX96n+INEJHFhp8NP3M4wu/P%20P/8cNWoUPzP87bffTj31VJLdPP300/zffzt27Hj11Vfbtm37008/rVq1qk+fPnv37qUXOcQLG342%20/MzhCL85c+YgAj///HP+x5ebb76ZBPDPf/4Tn6NHj6Yk4P/+GzduHD7nz5//7bffjhgxYurUqf37%209//000/pCdYxwoafDT9zOMJvyZIlu3btWrx48fr16ylHDL+lS5ciMsV//PHwQ7whbvG5c+dOJB95%205BGctc6cOZM/MCYu2PCz4WcO97Vfs2bN7rjjDggvvvgiruWqVKkinkOKL9B7/fXX6Zc3CsLrr7+e%20HlL2wgsvHCxO/Jg+dOhQkuNCYQm/nJycMmXKlC1blv6My7HhZxJ3+HHGjBnDJAHp821ffvllJsWf%207A+/zZs3161blyUSIMlfs2bDzySK8HPz1FNPMSl7yf7wc8QewTNt+JnEV/gVBrI8/BynmiJUZMPP%20JDb8HBRk+C1atAj5lyVgWclIayET0J+nSWAF+SCTSXl5uN5jkgsqEpUtYWPDz0GBhd/kyZP5LX++%20bpwFlP9dAsoREWuVLVuWSS6oyIafSWz4OSiw8HPkIBSxjzniUBEbKBLvGBQRa9mTz0hhw89BhMLP%20vZUpYgNF7idHEI5a9quX6GDDz0GBhR/2On7ySc+e0A8/CjzNK0b7w0N0UIfflClT6IEOM2bM8Hqj%200Hvvvffhhx/u2LGDpfPy5s6d+84777BE8kNfXnjhhe7du+/evZseSOF4hgXnpZdeYlIq6F74W2+9%20lZKKf6hqUpBfvdB3J1TEBRF3DuCaOFOF4N4DqdQBTjVxsVemTBnH6ahU2RISKXc/+j6sU6dOlHTw%2022+/IaIQTvSAiY0bNx44cACZCxcuRGj98ccfv/76KxZVbm7u3r17ofDnn39Onz4dmdDZunXrAw88%20gMMuqu/cuVP8dyh/ltmPP/5IOQR0du3ahU9EO6ojh17oSfdYbNq0id43yEH+li1bINCrmn7//fef%20fvqJ8unPcfTaUJGCDL+UGKhlw88kOief6hlp0KBBu3btINDrOE844QSsbIRfzZo1kTzvvPP+85//%20fP311/Xq1Zs/f/7kyZNffPFFhOLJJ5+MUkTmBx988M033zgeXXfKKaesXbu2evXqK1asEP9i2rJl%20yy+//HLbtm1Dhw5FE9hj69evj+bOOeecadOmIchpMyQQpX//+98R5+gJrK1Zs6ZVq1aI3kcffbR0%206dI4XnTt2hVx7vgvgQ2/IE1YgpEy/EaPHr1q1arBgwezdDLYW2h7adiwYdWqVSFccMEFtPtBQBLb%20EZ3d0MMLJ02ahPCDAvSRHDhwID4vv/xyx9MHmzdvjk9sud9///1nn31GmQB719lnn71kyRJ6UAUC%20G+EHoU6dOvQuQcfuV6VKFXxed911P/zww//+97++ffsiiSHTmwsuvfRShB9tjBwbfjb8zKEOv0su%20uQQ7G9ZokSJF6A2bDnCGOWzYMGyAGzZsQKggGLCb3XvvvVdfffXUqVOxvs866yysb4QHAubBBx+E%20wsUXX4wqxx57LM4e6YGR4h1MBHanPn364ELuzjvvFC8dBwwYULduXZxDwsgVV1yB/a1UqVLYOUuU%20KAEZkVmxYkXsjaSMM8yiRYvi3PiYY45BBHbs2BHhh5NVaEJ/3bp16BKsodukT9jws+FnDp2Tz7Bx%20PGusYLHhZ8PPHAUefri0Uz/PwjCFPfwsJonC7hcpbPhZzOEOP1wLNW3alJ70rmD48OFMysv74osv%20KPniiy/Sc0G//PLLREn8sOFnMYcj/N57771HH330hRde2LBhAz1vAjnbtm3buXPnTz/9tHbtWlL7%20888/xceNP/TQQz/88MNnn332+OOP04tx+NsXYocNP4s5HOFHL06YMGHCsmXLGjZs+PHHH+/Zswcr%208pZbbvn222/Fr/X5/0v++OOPd999F59PPPHEZZddNmTIkLvuuuu55557/vnnSSFe2PCzmMMdfq+8%208srYsWP37t173nnn4RwSOyGibtiwYSiln/IIHn4HDhwYNWrU5s2b33zzTST79OmDzyuuuKJGjRqJ%208phhw89iDve1H84eEWZDhw6tUqXK7NmzsRyRU6tWLWxoyKE/bS1durRSpUo4Qe3cufMvv/zyzDPP%20NGvWjPIRwBAeeeSR/v37HzQXNwog/Oi/miyRf9Ntyjv3OMgEOO8HJLCCfJDJJEvEcIefL/r27Rup%20nw3Sp2B2PxzG+N16iEb336YJr0Ci/IM322oHrSUKpBl+2UfBhB9iT8zhNxA51BSBhCKd220tkcKG%20n4MCCz+A0066vR3hx+/9EzXV4ed3z7QUODb8HBRY+OETmRR1dC5KsqjpFUh8t6SkAxt+kcWGn4OC%20/OqFvjWBDHAV5/hKBjiSREL9YD7pu/dAKrVEkJThl5ubO3bs2CuuuOK6667jJ0RZTMHsfpqYrGUx%20gDr8PvjgA3oPO+fWW2+lnxayFRt+FnMowm/Pnj3S1697PXgiO7DhZzGHIvy6d+/OJBf0ZBdO7dq1%206XkT77//fvv27SlT5H//+9/+/ftXrlzJ0qmYP38+kxJfK5j8A7cNP4s5FOEnvb2daN26NZMS0Ntw%20//jjj6effrpLly6QO3bsiM8RI0agaOvWrSeccMITTzxBr0waMmTIpEmTIICnnnrq4Ycf/vnnn+lR%20ZWvWrEGjiOEqVaogXLt27frhhx9+/fXXX3zxxSuvvLJq1SqqFSo2/CzmUIRfr169mOSCP9iPoPC7%20+uqr8YmYQXC+9957V1xxRaVKlZBzxx130N544YUXrlixYsOGDY888giS4PTTT8fnVVddtXr16h9+%20+AFBO2zYsE8++aRDhw4fffQRLjIvuOAC7JkIPPQT+VQrVAyFn8UCFOFHf552s2/fPpxMskQCeqsm%20PfMPkUO/P73xxhvnnXceBJyO3njjjRAaNGjw7bffiv+Lql69Oj6vvfZahN+mTZvIDvbAW265ZfLk%20yWgFwYDYQ9AuWrSIdtSwseFnMYci/ID0KSzXXXcdk/KB2sCBAz/77LNHH32U7nvAjrd58+bevXsv%20W7YMnwgh5N99992IqJycHJyIQufPP/+87777cHp5//33jx07FhYQnN26dUPRgAEDUB2b6qBBg558%208kmcoC5YsMD9X+IwsOFnMYc6/HJzc+kpfZT8+OOPW7VqRXK2YsPPYg51+BHr169//fXX58yZk/IJ%20FFmADT+LOXTCr1Bhw89iDht+Dmz4Wcxhw8+BDT+LOWz4ObDhZzGHDT8HNvws5rDh58CGn8UcNvwc%202PCzmMOGnwMbfhZz2PBzYMPPYg4bfg5s+FnMYcPPgQ0/izlmzZrV3yLgeLZN+tjws1gKDBt+FkuB%20YcPPYikwbPhZLAWGDT+LpcCw4WexFBg2/CyWAsOGn8VisVgKI3b/s1gsFkthxO5/FovFYimM+Nv/%20TL6TKDvaMjCKmHY+1p4BMXU7sD1PSagNWePRwd94TI4/O9oyMIqYdj7WngExdTuwPU9JqA1Z49HB%2033hMjj872jIwiph2PtaeATF1O7A9T0moDVnj0cHfeEyOPzvaMjCKmHY+1p4BMXU7sD1PSagNWePR%20wd94TI4/O9oyMIqYdj7WngExdTuwPU9JqA1Z49HB33hMjj872jIwiph2PtaeATF1O7A9T0moDVnj%200cHfeEyO36utChUqoAhMnjyZZQksWrSISsF3333HclMBZSZ5QzYJJC+77DLKV0PKCjAKsgk6d+6M%20PuOTlemBikxKBnbILGBZCbgDISD5+OOPOxQ4Xvlin0V89Rz6TBLA8MkUQMdYbnKLkCnJyrxR63A/%20OGDFqVBoip53QApoWuErruaF6A3Y8btmUItJStBJcQo4is4rLHv5BAHLNDSAPpOS4VMJz7AsgQDH%20BGgyyYW4bJBkUgIyzmfH6xCBIibJ4I6imZVOgQIv4+gMmeWI3fOaaweoxaRswd94TI5f0RZWGK0S%20x3LHcsFEAq/49ELRFmyi1L04kKkTSwrLsOk2ghFp7qwcRRMArZCvxCGgFYfrpKgtB/CziNo4nAD7%20Dh3uGXReXZ1Q6DiOLGRQxycchXFumRYPNwshCmtGYZ8Dg7Rs3PuTYt4VlsUq5JYAi0dhH06gDjsm%20EW0dPCL4XKuKhgBtqHwW0CKSoqMwTYp9XWEc/RSXJYyISR0UxqnbvGPkLko62vVCYTym+BuPyfEr%202sKCI8TpBFTFsdYRycgHyGdZLqiiFNRSVAQopaMSEDtDeFmmtahec6RDYLAs1wVKmSQDTfAlzjXJ%20eyTDV14DVFtGLe5nCOJBmftcnAgHauN0QEcnoca9xI/ylM/949UKipikRPQMwdvFJ2/UgY5xOtBz%20V3PIOEu48LKsXjPUZ4BGqV3gbhogn0keoAmqCMe6lcV5d5DSMiCbtCYJ6i1y+LJhBS4URegwAR3R%20OFVx9PlgGwLu4SCTSR6gCl8YNC88iDAcxeQChXEyBdxdgn2YBaQgjlEERUxyQcZ5RTJFSTLO/Y8h%20kI4DFDEpW/A3HpPjV7RFC50EqPEppGnja53mGwJBYUYVHSjaQhFf2VJo6bCECy/L1HNFRaxFsRQj%208uqGovMARviK541CAJQZ2DL3M4BAzicniwTbP8RaaIiUeSYNhGTgNQR1E4BWiHsWHPalpFQAXktO%202ijHyzL1SlGRhkMTAaRNAy/7BKrwaQVwrGMGxXl3oLYMoOBeD+Qlvkph32uMCvvoNg0Wn9waTJE3%20xD6jlDQBOiMdi6IhDnSonzQinvRyDkfHOE0l4NZEtyDT7UZCYZzb5LCCZONeixaIVbIDf+MxOX5F%20WwdXev70YNqgifkT44cWDXRQxPMBkryiiKItWjR8cXASXThoSlw6bhSW0UmU8qMVh1Y2zIpLHE0g%20hyWSUTQBUFH0AIAdVOF+QDeCWUYtHpwcCh73oNyojTvCG72FPu8nJUkG6Ia7J0DdBKq4u0p2HPal%20pFQAXocSZIaxZmit8lJp00BhHxYcnqchiL2VzjuhsEwudfQHZmGfmuCrFPa9nKO2z42jOjRhR7Qp%209hmlRICBcNAcWaBWKImmeaNeKIzD+fAGSyRPqOgWNOqYJo7COFmTdk80TtMhdoOjMB5T/I3H5Pi9%202sJUoQhAoBzMHC19WoIcvm4oyfXdoJRJHtDS4fC1wtJpBBIqkgVCXHbicGiAUlDKJBdUF7i3EzLI%20W5c6B/lMSgZ1qRbhDhXucyANJIAiJiUD31JF4IhVcRRiH1iWC68idIkqukHrYge8Og9QyiQPxJkV%203cuyvLdAFDHJA8WagYsok0ZBs+wA+UxKJlHvIGLHxLaQz2cW+UxDAPlMSkZcDyLorRhZ4pwGs8/9%20jK7S2N1r1d0Z95aATCYpQf/FfjqSXiiMk+cTnToIX/AsnXALn2I+WBHkMykZXgtwsyLcLeLsO0Ap%20k7IFf+MxOf7saMvAKGLa+Vh7BsTU7aAw9xwHd8fRHzmB979gWOPRwd94TI4/O9oyMIqYdj7WngEx%20dTuwPU9JqA1Z49HB33hMjj872jIwiph2PtaeATF1O7A9T0moDVnj0cHfeEyOPzvaMjCKmHY+1p4B%20MXU7sD1PSagNWePRwd94TI4/O9oyMIqYdj7WngExdTuwPU9JqA1Z49HB33hMjj872jIwiph2Ptae%20ATF1O7A9T0moDVnj0cHfeEyOPzvaMjCKmHY+1p4BMXU7sD1PSagNWePRwd94TI4/gm2tXr26b9++%20Z5xxRsmSJVGlVKlSkHNycpDPNFzoWJ4wYcJll11WpkyZogmOO+44JJHJilOh7yi/DaW0PGTIkMMO%20OwymoOkA+aNGjWJ6MqDDJCXpOEeziWCEZzxsz/jqua9WNC0HiCMiPJ87CLWh6BiHw+H2Cy+8EPOL%20imXLloWsmAhj/jeGv/GYHH902tq8eXPDhg2LFSsGNS9wuIcONFmdfFDEJBdt2rQ54ogjqLoXhx9+%20ONRYBQ+gxiQPAjeEfCa5wGAxZKqrBpqsTjIoYpIMdKZ48eJkwYuUzoEOk0IgPONqy+l7BgpM8gbV%20A6wZZDJJRjpxRECBSSETakMFbhzubd68ed26dZctW8aykkE+SqHjmAhj/jeGv/GYHH/gtvbt28ck%20bRRt4RLn73//OxR0QPRCn9VMgEwmCYwfPz7lwUWkSJEiU6ZMYZVdQIFJLtJsCDlMEsC5oebOxzn0%200EPdZ5TIZ1IyGXQOSpkUAuEZ97KcKc+giEky0mkFSRLcpBlHBIqYFDIBGtI/7IQ6ipTGR40ahb2N%20JVIBzZEjR7KEQf8bw994TI4/QFsI3aOOOqpEiRIQWJYeXm3l5OTQVzT6FC1aFLVYfZnlwYMHH3nk%20kaSsD861UZGZSAalTEom/YaQJEHkjDPOIE1foBarnw8ymSSQWeegiEkhEJ5xqeUMegb5THKRZiuQ%20yY6D9OOIQD6TkoEmLlZYIhXQ7N+/P0t44NWQFL+HHV/G/aI2Dkd169aNJfSAPp+IUHteIPgbj3r8%20jodkEvzZQvQgPpJ18KUMatasKX4vhCQr0AD6TErGb9ASqMXqyywjVEjNL6jITCSDIiYlk35DkEkQ%20IZ0AsPr5uHNAZp2DfCbJcCzXyxKPxRIzKccLKDBJRufkR3TSsyjFTMqRglImCWTQM8hkkos0W4FA%20dhykH0cEMpnkYu7cueXLl8/NzWVpGSiFDjRZ2htFQw4CHHagxiQPyBTHnUk5UtSlZcqU2bBhA0vo%20AX3UIlltPI74G4/O+HHU4AcOetAwJcPb/6ZPny4NsCOOOAJFTEkJlJmUTKlSpciUL3AGzerLLB99%209NGk5hfRrAiKmJRM+g1BJkGkSpUqpOYL1GL180EmkwQy6xzkM0kJ1ic0+YlahQoVFJsTR8c4rX/+%20nGLaXElWINXJoGeQySQXabYCgew4SD+OCGQyScbmzZvR0NKlS1k6GeSj1OuXRQfqhojAhx3oMEnJ%2044knmPOnUePkCZCsQG28bNmymzZtYgk9sP+hFsmaPY8R/sajM/7E9vfXiTOqUJL2P35+nXIuocMk%20JZdeeqniF3UUXXLJJUzVG2gyKZm+ffsWlf25UQH0UYvVl1kO/BXTY489xkwkg1ImJZN+Q0iSIBLg%209z/oa/7+l1nnoIhJqaBliY1K5xBD6BuHTTLOt1g1UssZ9AzymeQizVYgkx0H6ccRgXwmedOgQYMR%20I0awRD7I8foflpSUDaVz2IECkzSAMlYOYOlUqI3b7z8d+BuPzvix20GNw89fHNd/OCioJ1VUlrJw%204UL1f8k4RYoUgTKrJgM6THIxZMgQzVaA5v9fpkyZ4utwgP4rflqAApNcpNkQcpjk4qKLLqIqauCQ%20OnXqsDrJoJRJyWTQOShlkgZYjdDP1IFGhJ/z8VhQ42U5U55BEZNkpNMKkiS4STOOCBQxSUmvXr06%20duzIEnl5HTp0QA5L6KFoKP3DDoqYpAGdPAHFq7hEUhofOXKkr/+/iHcxpTQeO/yNR2f8ics/yQ8n%207v0PsIQMdVvXX3+9ryiFsuIXcigwScbmxP+21Rc9dKB3f7uCIia5aNOmDU6cqboXUFD8kZ2AGpM8%20CNwQ8pnkAWLj0EMPJQsi8DYc4nXBSkCNSTIy4hzoMEkJViZfivSlk86FmqZxxAK3dvA0XmN/VVtO%203zNQYJI3wVpBJpNkpBNHBBSYlArMaY0aNSDUrFkTMmXq49VQRg47yGeSEnpVIcl0CqVz/qRjHO5F%20r7C32fsf/I1HPX5+nku4DyK0BRIsyxsvnY8++ogsBOOTTz5hhgSQzyQlqxO3i1apUoW+IypZsuQZ%20Z5zRt29f95d7HB3LEyZMqF+//nHHHYcDCjjmmGNw0HzmmWdYcSo0Ow/8NqRvOQCaxtNxjroJcTWK%20v7KwrFTXglBgkgx0kowAfubO0gkUxzKUMklJYM9o2id8taJpOUAcEb56vnLlSujjk6X94G4Ixw1k%20BkY87CDJJBn0mzEBV1OmuFaB4loQpUzSgCbiggsuKFu2LCqWKVPG3v+uwuT4s6MtA6OIaedj7RkQ%20U7cD2/OUhNqQNR4d/I3H5Pizoy0Do4hp52PtGRBTtwPb85SE2pA1Hh38jcfk+LOjLQOjiGnnY+0Z%20EFO3A9vzlITakDUeHfyNx+T4s6MtA6OIaedj7RkQU7cD2/OUhNqQNR4d/I3H5Pizoy0Do4hp52Pt%20GRBTtwPb85SE2pA1Hh38jQfjt1gsFkvhhO0E2YLv/Y9J4ZMdbRkYRUw7bz3jRdieialbQNj2OfGd%20X2Muyg78Ocukc7OjLQOjiE7nx40bxyQNCpVnfBG2Z/Tt+32VWHR6DnytRgfxnd+wpyDL8Ocsk86N%20WltDAr3rHKVMCo3wmvBluVatWkWKFMEnS6ei8HjGL2F7RtP+eP9vE4tIz4Hf1eigoOZ33rx51atX%20b9WqFXy+cuXKXQkgYC9HJopSvrwi7CnIMvw5y6Rzo9NWyoc2cdzP2EUmk0IjvCY0Lb/77rviExFx%203EEOK/MGmkxKZsWKFWTHL+4nfSCTSZkmPMsgVONAx36wt4lBk0nhoGM/2Gp0gIpMCgGp8W7dut1y%20yy179uxhaQ+g0L59+9tvv52lXYTa8+zDn7NMOjcKba1O+13nyGGSN2ke8SGQHTfhWeZ06dKldOnS%20VItz+OGHI59peAA1JsmoX7/+8OHDWUIJ1Bo0aMASyUibyMj+iiSTQiCl8VCnNZ23iUGNScmIz/TS%20x/2UL2QyyYPAq9EBajFJIFNnZshhUoKNGzcec8wx8+fPZ2kN3nzzTVRBRZYWcBi3qPHnLJPOjUJb%206b/rHEkmpSLwET9lEyFZ3rlz57HHHntwwB6gFDpM2wUUmORBv379mjVrxhIeQAFqLOFC0USa+2vK%20zqeDpvEwpjXNt4lBh0kyNB9FDR16dLUbhf00V6MD6DPJRfpnZg7jF1100cyZM1lCm1mzZtWrV48l%20BBQ9t7jx5ywd50KHP9u3QuKdMiT7xeREerWF/GCw+j5HEeyIr9NExi0///zzOu8KL1GiBDRZnWRQ%20yiRvlixZUqpUKekbO5GJIiiwtAx1E8F8Quh0nh6BLb7khC6DUr5cQsc4kcFpzcjbxFDKJA9SvooI%20pdBhCRde9tNfjQ6gzCQZ6awc4DCO5P79+1lCm9zcXGkn1T23OPDnrJTO1X9PR0pMTqRXW+m/6xxJ%20JukR4Iiv2UQGLTdu3FjzWElAn9UUQD6TUnHOOedMnDiRJRIgiUyW8CZlEwF8Quh3Hpr0HglshJpx%20oW8cZGRaM/U2MRQxyRvFq2iR7351rYjUfkZWowOoMcmDwCsHOIzjMg4XcyyhDS4Z7fVf+vhzlqZz%20EefQJCjH8eYj2ibVJ8KkaQavtgL8/gd9v7//ufF1xPfVRJqWP//884ODDATqMisJkMMkDe666672%207duTDAFJktVoNuHLJ4SvzlM4pLzs4/gyTgSe1gy+1gcgh0lKli5dih1CfLccZOQgn6U9cNjP4Gp0%20AAUmKQmwcoDDeIDf/6Bsf//LCP6cldK5CHLxK37xcpC2QMrX+SLI5ESq20rnXefIZ5JP9I/4fpsI%20z7Iv/BrHOXK5BPony/pN6PuE0LeMyz6sfAoE8btQBcHcHoVp1becm5tbvnx5+jc/Pk899VTkUJGC%208HruQL8hvysHSI3b/38WCP6cldK54obHk7TPxXf/I4K96xwKTPKP5hE/QBPhWdYngPHdCVhCA19N%20aPqE0LGM3c6x4SGJiuIJopTAbi/wafVruXnz5o0bN27RogVLpyK8njvw1ZCvlQMUxnEqQPf/jRs3%20bqVw/9/48eNbtmyJonnz5jFVD4y5KDvw5yyTzs2OttK0rHPED9bE9u3bQ7KsiYH59duEjreJyHpG%20ZwjhdT6AZemPWF6E6nYRvw3pRBMn1FEYc1F24M9ZJp2bHW0ZGEVMO28940XYnompW0DY9jnxnV9j%20LsoO/DnLpHOzoy0Do4hp561nvAjbMzF1CwjbPie+82vMRdmBP2eZdG52tGVgFDHtvPWMF2F7JqZu%20AWHb58R3fo25KDvw5yyTzs2OtgyMIqadt57xImzPxNQtIGz7nPjOrzEXZQf+nAXnWiwWiyWysIO1%20RQPf+x+Twic72jIwiph23nrGjQGfgNi5hWPGPyDUhoyNwpISfzNhcuayoy0Do4hp561n3BjwCYid%20Wzhm/ANCbcjYKCwp8TcTJmcuO9oyMIqYdt56xo0Bn4DYuYVjxj8g1IaMjcKSEn8zYXLmsqMtA6OI%20aecL3DODBg1q2rQpS2gAZVQhOaTOBzPbLgFLaBCe58Oe07DtczQbmjBhwrXXXluxYsUSCSpVqoQk%20MlmxB8ZGYUmJv5kwOXPZ0ZaBUcS081HwzPLly4sXL75mzRqW9gAKUIMyS4fWeb9mV6xYwZ/PDgFJ%20VqDEbyv6hGeZCNs+R91Qly5dTjnllJdeeomlXaAICl4v3TU2CktK/M2EyZnLjrYMjCKmnY+OZ+rU%20qTN27FiWcIGiDD7WXI0vs927dy9VqhSqcIoUKXLvvfeyYm+gyaRME55lImz7HK+GpkyZUrly5b17%2097K0EqhBGVVYOh9jo7CkxN9MaM4c1PiTf+lR15dddhkliccffzyzTwGGMhBtio/bTomOJj282DEQ%20R6NuNPsQ+F2pQKeJ8DofzDLQMQ7oEeoADmFZiUYdLUrRbAI88MADrVu3ZgkBZKKIJQRSWg7W7ZRm%20iY0bNype94pNUfpmHA50mOQNmfIbUCkV0iRs+xxpQ4MHD+7YsSNLaIMqqMgSCYyNwpISfzOhOXMU%20/DzyKckP5cgXD/Re+F0l1ApZrlChAm9OB/22+BvtsYVnfBRQ9vuuVBCFzvu1DPSNA5iFPg7BdFrA%20clPhq4kFCxaUKVNm27ZtlIRw/PHHI5OSDjQt++22jk7fvn1Lly4NTQXFixcfMGAAq+ACCkxSEiCg%20NC0HJmz7HGlDJ5xwwrp161hCG1RBRZZIYGwUlpT4mwn9mUPY0KGcZDGpc+YOgq0SGA9Q0VcVOhEW%20T40V+O0MHTFD2rxBeJ33ZRn4Mk6giubiIQI0UbVq1WkJILAsGb4s63dbbXbPnj04kkJHEyhL3yeH%20IiZp4CugfFkOQNj2OdKG4E/1hbUU7H9ly5ZliQTGRmFJib+Z8DVz2PBwNMcBkY7mqItdEEnNQ2SA%20VYIWcaLNT7pZrgb6bcE4oNN5nYOar1GQf8Tzbh2i0Hm/loG+cQDLdP5Eh2MkKV+NryY4XROwhAea%20lv12W2F2xIgRRx99NBR8UbJkSVRkJvJBPpNS4Teg9C0HI2z7HGlDgwcP7tSpE0toY7//jDL+ZsLX%20zDmO44gfMZkSX20hUB3xiRxYyOCBEkcBx5Gdjgv4ZGkZmqOAWxyeQRJ1M3XQCa/zwSwDHeMAMwhN%20cR4ph/YVNZpNBCCl5WDdDq/DIjqtBAuosPtvxj/AqyH7/5csw99MmJy57GjLwChi2nnrGTcGfAJi%205xaOGf8AdUP2/oeswd9MmJy57GjLwChi2nnrGTcGfAJi5xaOGf8AzYbo/vdKlSrR/e8VK1a097/H%20C38zYXLmsqMtA6OIaeetZ9wY8AmInVs4ZvwDQm3I2CgsKfE3EyZnLjvaMjCKmHbeesaNAZ+A2LmF%20Y8Y/INSGjI3CkhJ/M2Fy5rKjLQOjiGnnrWfcGPAJiJ1bOGb8A0JtyNgoLCnxNxOYOYvFYrGkAzue%20Wgoa3/sfk8InO9oyMIqYdt56xo0Bn4DYuYVjxj/AWEOWgsXfNJtcFtnRloFRxLTz1jNuDPgExM4t%20HDP+AcYashQs/qbZ5LLIjrYMjCJAE/v27WOSEr+Wx40bxyQNoukZTXxZ1neLAZ+AiLglAGb8A4w1%20ZClY/E2zyWWRHW15WU7n5asO/HZ+/PjxRx11VIkSJSCwLA98Wa5Vq1aRIkXwydKpSGl82rRp5cqV%20c7zih0DmSSedNHfuXKbqATSZlGn0LftyS3gdFomCW4Khtj9y5MjixYt369YNC2PDhg25ubn4hIwc%205I8aNYrpaWBmIiwFjr9pNrkssqMtheXAL1914KvzNWvWhDVUIZBkBTKgwCQl7777brFixcggwOEe%20OazMG2gyyUXbtm2xPZM1NYcffvh1113HqrmAApMyjY7lAG6BGpPCJLxWwu6/l/3mzZvXr1+fJbyB%20DjRZQomZibAUOP6m2eSycLS1YsUK5ARg5cqVzIQ3UGNSpklpOcDLVx1odn769OklS5Y86JFkjjji%20CBQxpWRQyiRvunTp4n4dD7Ylr4c/caDGJIGNGzeiP2REH1SRPpgfRUzKNCktB3MLdJgUJuG14rZM%20Tz31i9dTRlHEpHxWr16Nk4xly5axdCqgifM/1GJpD9wNWbISf9OsWBb0eGvp433pUc6O5zunRNoW%20zuCGDx/OEkqg1qBBA5ZIRXjLXcey35evOtBp4tJLLxWvRRyg6JJLLmGqAihikoydO3cee+yxZEEK%20SqHDtF1AgUkCNWrUoLp+Oeuss5gJAeQzyQN+dBZfOPX444+nfLi2wnI6bkEpk5TQk+WBuE8gvhwP%20IvdCpxWyLz4CmwKcJTzwUqhZs6bOk9yhgwXAEjLc9i+88MKUX4M7gD5qsYQHKUdqyQ78TbNiWWDt%20AkSg49iBownykZmR/Q/069evWbNmLOEBFKDGEhqEt9w1Lft6+aoDdRMLFy5U7HwiRYoUgTKrlgCZ%20THLx/PPPK15BzilRogQ0WZ1kUMokAaoVDGZCQJrpBusTmvTCCgjqVxwQXpbTdAuKmKQBOgx9dJ52%20cZargaay+P4WxK94iuCFwnKHDh169erFEjJQCh2W8MBtHzn79+9nCT1yc3NTeiClgiU78DfNimVx%20cPdLnOIhVPh5KHJ4/PD9j8sUt3TccaNoa8mSJaVKldq0aRNLCyATRVBgaT3CW+6+LGu+fNWBoonr%20r7++aNGiUNAEyuIPJMhhUjKNGzfW3FMJ6LOaAshnkkC1atWoil9QkZkQQD6TNMCyBCyRCqnl9N2C%20TCZpgyqal30cX63AuL6+WnPEiBENGzZkiWSQ735PoRu3/QsuuCDA9R9qsYQHvlxkiS/+plmxLPj+%20B6CGsMEJI49MvucBCDwfmryWg5RL8Jxzzpk4cSJLJEASmSzhh/CWu1/LOi9fdSBt4pNPPkF+YFAd%20RiCQNc7nn39OCgFAXWYlAXKYJFBQv/+RJlYmhAAXOplyC5JM0gCnj7Rh0xalc9lK6LcC+zDLLzRZ%20rjcpLS9duhSnp5s3b2bpvDzIyEE+Sytx21+9enXx4sXt73+WYPibZsWySGx/f0UINMWzaXH/Q7jq%20xKrOErzrrrvat29PMgQkSfZLeMvdQCDFtPMK423btj388MOhkBKoXXPNNayaCygwyRvoODa8hOEU%20FVMqBEPTLH1xIgYR5YgRp0CnFZhybHjIcTTqRsdybm5u+fLl6aINn6eeeipyqCglXvbt/z8twfA3%20zRlZFu4vPKVfgWq2NWvWrHIJILAs/4S33A0EUkw7n9I4Do5ly5b9+9//Dk0HRYoUQdG0adOYqgfQ%20ZFKmCclyeB0WiYJbsA81bty4RYsWLK2H2v6oUaNwbed1/9/IkSOZngZmJsJS4Pib5owsC/q6hhPg%209z8H27dv3717N0sEQr8tv4RnmRPTzlvPuDHgExARt9SrV49J2pjxDzDWkKVg8TfNJpdFdrRlYBQx%207bz1jBsDPgGxcwvHjH+AsYYsBYu/aTa5LLKjLQOjiGnnrWfcGPAJiJ1bOGb8A4w1ZClY/E2zyWWR%20HW0ZGEVMO28948aAT0Ds3MIx4x9grCFLweJvmk0ui+xoy8AoYtp56xk3BnwCYucWjhn/AGMNWQoW%20f9NscllkR1sGRhHTzlvPuDHgExA7t3DM+MdSePC3nkyuv+xoy8AoYtp56xk3BnwCYucWjhn/WAoP%20/taTyfWXHW0ZGEVMO28948aAT0CBuCUjL+cz4x9L4cHfejK5/rKjLQOjiGnnrWfcGPAJMOyWDD6c%20xYx/LIUHf+vJ5PoT2wr15X8AmkzKNOFZ5sS0836Nt0vAEnoE6L9mK1LL9BAyv4hLFEkmhUl4rTgs%20Z/zlfGb8Yyk8+FtPJtefu62QXv4HjB0RwiCmndc3jrOfww47DPoAApKsIBX6TQBfrSgsp/OuO4XZ%20DBJeKw7LGX85nxn/WAoP/tZTyvWHqIaOG6+HnClALSYJhPHyPyBti+M4r6enDIuZiucOo5RJHtBb%201jj0Zgwxk78rwwvoMElGeJ1PxzKAApOUdO/evVSpUmSQKFKkyL333suKlUCZSanw2woUmCQj8Lvu%201GYJx+MD6eHdYmbK91dAh0ky6G0PHIpcMVMRyyhlUgIkM/tyPkWRxRIAf+sp5frjL3kgcARUHwQV%20eLWV8Zf/Ac24ovfj8LN7HHRS7uv6EUuHMH7wgt90LiNAgXc+gGWQ0vjGjRsV75LFREvfeSQCNSZ5%20E6wVFDHJg2DvuktplkNnSHA1JeF8/UDTbAVqXJNOa/BJSS+4PpHxl/M57FssaeJvPemvPwQklB3H%20QeQgnw6XQB1OUGCSjAy+/A+o2xKhAwGONfzQo0bfMqCDGow7TiPURKHzfi0DtfG+ffuWLl0aOgqK%20Fy8+YMAAVkEGdJjkQeBWkM8kbwK8607HrAi8jSpwe8qdSUS/FcQv2ecnN2ocljP+cj6//rFY1Phb%20T5rrj8KSJQSQKV4lqI/yKdvK1Mv/gK+4otFpVvFlGeBYgyr4ZGkNfDURXud9WQZemnv27DnhhBPI%20lA5QRhVWORmUMslFmq0gh0lK/L7rTtMsh84ygeb+ROi3Qqc1QPOETGrZ/v/TEln8raeU648CxhEt%20uKyh+ERRBvc/kJGX/wHNuMJA0G2S6dCT8rijaRnAFHcInXfz70LVFHjnA1gGUuMjRow4+uijUeSL%20kiVLSr9RRBGTkkm/FSRJ0EH/XXe+zIqXfajIpyAlmq1gNfJ5hHGdWgqdjLycz5d/LJaU+FtP6vWH%20gIGCFH4iCXBwp6scoAhalDJJye4ELBEUdVs4vic6exDHFsWhTDeKIoI2DIJ/XSx6MuW1IHSYJCO8%20zqdjGahLM0J4Tfi1rPmuOx2zPHYA5YjBBdI8rRHXHqaYMsVG+Vy7QSmTwiFs+5bChr/1ZHL9ZUdb%20BkYR085bz7gx4BMQO7dwzPjHUnjwt55Mrr/saMvAKGLaeesZNwZ8AmLnFo4Z/1gKD/7Wk8n1lx1t%20GRhFTDtvPePGgE9A7NzCMeMfS+HB33oyuf6yoy0Do4hp561n3BjwCYidWzhm/GMpPPhbTybXX3a0%20ZWAUMe289YwbAz4BsXMLx4x/LIUHf+vJ5PrLjrYMjCKmnbeecWPAJyB2brFYQsLfejW5vrOjLQOj%20iGnnrWfcGPAJiJ1bLJaQ8LdeTa7v7GjLwChi2nnrGTcGfAJStjJhwoRrr722YsWKJRJUqlQJSWSy%20Ym/M9N9iyRT+1qvJ9Z0dbRkYRUw7bz3jxoBPgFcrXbp0OeWUU1566SWWdoEiKECNpV2Y6b/Fkin8%20rVeT6zs72jIwiph23nrGjQGfAHcrU6ZMqVy58t69e1laCdSgjCosLWCm/xZLpvC3Xk2ub0dbgwYN%20atq0KUtoAGVUYYlUhDcut+WMD8Rk5zNIqMYJrybSn4KQOm/AJ8DRyuDBgzt27MgS2qAKKrJEPmb6%20b7FkCn/r1e/6rlChAn+mpQjsSPNF3G0tX768ePHia9asYWkPoAA1KLO0BupxOZ6vSA/kFDMVj+hE%20KZMEMjsQaROcjHeek45lAAUmeUOPXebQ4yjFTP6ASilQYJKLNKdAYRkE7jaKmORNmj4B0GFSghNO%20OGHdunUsoQ2qoCJL5OOwbLFEHH/r1df6RkzSs3TdAYnMAPsfUadOnbFjx7KECxRBgSW00RwXDUd8%20KH7gUYBMDaRAOi8SwDLQNA6wfqAMs5REQ+qdlZOyicBToNP5AN024BPgaAXbWMo3CbvB/le2bFmW%20yEe//xZLFPC3XvXXN46AdECkgyNlcpCTzsH3gQceaN26NUsIIBNFLOEH/XHR9Q2ONfzQo0ZtOSMD%20KajOi/i1DPSNE7BMTaAtlpUKnSaCTYF+531124BPgKOVwYMHd+rUiSW0sd9/WrIAf+tVc31j58O2%20xxKJb0Edh0XYSfPiY8GCBWXKlNm2bRslIRx//PHIpKRffMUtHXQ0q6RUS38gmj0hMtt5EV+WgS/j%20AIuK7NN5lQ6aTQSYAk3LwFe39c0SAXwC3K3Y/79YCif+1qvO+l4kvA2VoIsDccNzJKXotFW1atVp%20CSCwrEBoxq04NDr0pDzuaFpOZyAF3vkAloGmcUK8xEFFxwLzwlcTvqZA07LfbhvwCfBqxd7/YCls%20+FuvKdc3FAhxe6OvQAnkMynVFggFJinpmoAlgqJui35rIfh1rTgQQJluFEUOAg9E3UR4nU/HMlCX%20EjjEkx1AOXQuxVFvtFBgkh76U6C2HLjbKGKSN2n6BECHSR7Q/e+VKlWi+98rVqxo73+3ZCX+1qvJ%209Z0dbRkYRUw7bz3jxoBPQOzcYrGEhL/1anJ9Z0dbBkYR085bz7gx4BMQO7dYLCHhb72aXN/Z0ZaB%20UcS089Yzbgz4BMTOLRZLSPhbrybXd3a0ZWAUMe289YwbAz4BsXOLxRIS/taryfWdHW0ZGEVMO289%2048aAT0Ds3GKxhIS/9WpyfWdHWwZGEdPOW8+4MeATYKYViyX6+IsEk5GTHW0ZGEVMO28948aAT4CZ%20ViyW6OMvEkxGjqKt0aNHlypVqmjRotBxUKRIERRNmjSJqeqBikwSePDBBw855BBpK8jv1asX01MC%20ZSaFRnhNhNp56xk3mmYnTpxYvnz5ihUrDhw4cM6cORsSQEASmShSr38DnrdYYoG/SDAZOdK26tev%20X6xYMRTpUK9ePVYtFVBmUoIKFSocfvjhZERN5cqVWR0PoMOk0AiviVA7bz3jJqXZq6+++v7772cJ%20JX369LnmmmtYIhkDnrdYYoG/SDAZOY62Fi9efMQRRyDTF9gsUZGZ8AaaJMyfP79EiRJUVxP0CrWo%20uhsoMCk0wmvCy/IPP/xwcOQ+WblyJaufADlM0qNdApbQw28T+jgsZ8QhAJlMcoFlfOyxx/p6URGU%20UcW9/hWtWCyFCn+RYDJyHG2ddNJJyAnA8ccfz0x4AzUSTjzxRKrli+OOO46qu0Epk0IjvCbUlmvW%20rKnznE/o1KhRgyUE9Lu9YsWKww47DPoAApKsIBX6TfhFajlNhwBFh6tVqzZ9+nSW0GbGjBmnn346%20S+QTnlsslnjhLxI0I0d84CeinWBl2qAukxLof+3poGjRosyEN1AjIVgriiZQyiQPxKdoAnqKsZiZ%205kOTHQ+HrODnLbUoZZIHHTp0UP8OilLosEQyKY0T3bt3L1WqVKKnjCJFitx7772sWAmUmSRDXKWA%20lqhj6ZKmG5QyKZl0HAK8zIKSJUv++uuvLKHN9u3bUZEl8lG0YrEUKvxFQsrIwcHafTzFMUX9qGsp%20jrYcRyt92rdvz0x4AzUScGyiWr5o06YNVXeDUialAq6DMnY+SsKNmicNmk2QA7lNNJdyUnQsjxgx%20omHDhiyRDPJRyhIuUhrfuHHjUUcdBTUp2BRTvrUVakzyhk4F+KKlMw+SFSh0AjsEKMz26NHj4Ycf%20ZgltUAUVWSIfnQFaLIUBf5Ggjhx69j8/gjug4y8daHAUhgxw9KFSNyhlUj73338/1dIEFwqKd7WI%20QJlJiRd7UnUdDj/88FatWrGaMqDDJA3o4AsXwVcsSwP9JvixPuU1JaFpeenSpdiNNm/ezNJ5eZCR%20g3yWlqE23rdv39KlS0NHQfHixQcMGMAqyIAOk1LBF6fX6nWgthzMIUBttl+/fpdffjlLaNCkSRNU%20YQkBfbdYLNmNv0hQRw4dRBRHEGyQjhNtX/sfwHHk4osvlt6TIHLooYfWrl1bPACpQRUmJVi+fHnV%20qlXJlBfYXE899VRosjoeQJNJesA/qMK9pIOvJugqU7OKvuXc3Nzy5cvPnTsXMj7hGeRQkRdexvfs%202XPCCSck+qgFlFGFVU4GpUxKBa1GoPlFRUrLARwCUprFkr7yyivPPffcefPmsSwXKMLiv+KKK7zW%20f8pWLJZCgr9ISBk5OHBLj910wZH+/sfZt2/fhAkTcCyoVq3a3xOcdtppN9544zPPPIMipqSNV1tf%20ffXV0KFD69evf/zxx0MHh1oMJCcnB/lMIxUpPcbBNTG/7FNfSTvQbALW+GUfXX+n/H5Vv/NE8+bN%20Gzdu3KJFC5ZWIjU+YsSIo48+GkW+KFmypPR7RRQxSQncwl3ttYAdaFr25RCgaRbQ+r/zzjsbNWp0%20bAIIPXv2RGbK9a/fisWS3fiLBM3IwREEmoTjaMJy81+EG3j/yyzhtZXSMv8qGPCLD7qSJlIejqHD%20JBn8ygY49lcOZbpRFHmh/xtVAON+UTfBL4UBX4csnYBPhxuUMikVvn600zebDmZasViij79IMBk5%202dGWgVHEtPPWM24M+ASYacViiT7+IsFk5GRHWwZGEdPOW8+4MeATYKYViyX6+IsEk5GTHW0ZGEVM%20O28948aAT4CZViyW6OMvEkxGTna0ZWAUMe289YwbAz4BZlqxWKKPv0gwGTnZ0ZaBUcS089Yzbgz4%20BJhpxWKJPv4iAZFjsVjiDotni6Vw43v/Y1L4ZEdbBkYR085bz7gx4BOLxcLxF28m4zM72jIwiph2%203nrGjQGfWCwWjr94Mxmf2dGW1PLKlSuRHwD3G+MA8pmUacKzDEI1ThSgZ+jJQW3btj377LOhjE/I%20yFE/OciATywWC8dfvJmMz+xoS2G5fv36w4cPZwklUGvQoAFLuCiQzqePgfk175nly5efd95511xz%20zapVq1hWMshHKXSkT4414BOLxcLxF28m4zM72lJb7tevX7NmzVjCAyhIn+LPKajOp4mB+TXsmbvu%20uuvGG29kiVTccMMN0GeJfAz4xGKxcPzFm8n4zI62UlpesmRJqVKlNm3axNICyEQRFFjagwLsfDoY%20mF+TnunatWtOTg5L6DFgwADUYokEBnxisVg4/uJNJz4fT0ByBeFVdhBSvnBAxNexAMpAtE/PlWaJ%20VOho0jOp+SsUCEejbjT7cM4550ycOJElEiCJTJZQUrCdD2YZ6BgH/Pnd4qPS0aijRSkpm4BNMi6+%20agOrN8Azx0uWLLljxw6W0AP6jpezu81aLJbw8BdvfuNT3P/84rctOlBSc2hXPKKlRL8tWCZlHCV1%20hqZv+a677uKvqofg/nLMiyh03q9loG8cwCz0safSjsVyU6GpSadKaAIyBMU7SThuy1WrVn3jjTdY%20Qg/oV6lShSUS6A/NYrGkj7948xuf7v2PDpSZPfiK0EttWEIbX1XocJny+obwZXnWrFnlEkBgWRpE%20pPO+LANfxglU0bns4/hqAisTsEQq3Jbnz5+Pidu+fTtLpwIXf9BHLZZOEMAnFoslMP7izW984oDi%203uqkmW4CHAtgGSfv/FqB5Wqg3xaMA7oKychXcA52J2AJPaLQeb+WgS/PwDJtTnR+gyTlq9FvgjSx%20LCHofHPgZfn888+/6aabWMIb6ECTJQT0O2yxWNLHX7z5jU9j+x9sOjY85MBCBg+UOL47juzIQUV8%20srQMvx4LQMF2PphloOkZ2lPFeaQc2g7V6DQBHceGh5yUFdUKOTk5hx56aNeuXceMGbNs2bI9e/bg%20EzJykN+/f3+m5yJluxaLJYP4izeT8ZkdbRkYRUw7bz3jxoBPLBYLx1+8mYzP7GjLwChi2nnrGTcG%20fGKxWDj+4s1kfGZHWwZGEdPOW8+4MeATi8XC8RdvJuMzO9oyMIqYdt56xo0Bn1gsFo6/eDMZn9nR%20loFRxLTz1jNuDPjEYrFw/MUb4tNisYQHizSLxRI+vvc/JoVPdrRlYBQx7bz1jMViKVj8hbHJsM+O%20tgyMIqadt56xWCwFi78wNhn22dGWgVHEtPPWMxaLpWDxF8Ymwz472jIwCmkTn376KfID8PnnnzMT%20Pjv/8ccfQx+fLJ0KX8aDodnEvn37JkyY0LNnz0aNGh2XAAKSyEQRU0rGQOctFkvY+Atjk2GfHW0Z%20GIWiiVatWvXu3ZsllPTp0wfKLJGPfufbtm175JFHQv/www+HzHKVFKxnwObNm6+88sratWvPmzeP%20ZblAERSgBmWWlcBA5y0WS9j4C2OTYZ8dbRkYhbqJadOmVahQ4ddff2VpFyiCAtRYWkCn83TZ5ybl%20hSB0mBQaiib69evXpEkTltAAyuJb+A103mKxhI2/MNYJ+0WLFjkeb43DK2AJbXwdYqAMxEdg0+t4%20WCIVas3Bgwc3btyYJVIBzSFDhrCE9ijotQai3+gpz+m8i0CkVq1aY8eOZQkBZKKIJVyktMwv+9yk%20vBCEDpOUwANkUHwENhzleOi2FK8mevTo8fDDD7OENqiCiiR7WbZYLDHCXxj7DXvahHy9iojjty06%20UNIWgu1WZ+fgpGzrq6++gg4+WVqGVMfXKKBMJwoYRcr3J3A0m3jiiScuvfRSlkiAJDJZQobCstdl%20nxuvC0EUMUkDeqcEFhKdFrDcVHhplixZUv9FfRxU4a9r99V5i8USTfyFsa+wp2salkiAwzpyQKYu%20a9y4G9VBswqM41qQJZLBNZ/0isRvZ+hAn9nNm7N27dqjjz767QSlS5dGkhV44GVZcdnnxutCEEVM%200gZVdC77OF5NVKtWbcaMGSyhzfTp01GR5ACdt1gsUcNfGGuGvXgp5kDzmysQ4BCDiydcH/BrBZar%20gX5b0u9CHd95ivgaBZyDbiu8J8Wvo25LwBJK3JaXLVuGzGA4LgSRwyQNMK10ZUznN+J3oQq8mli8%20ePGxxx67bt06ltYAyqiCipT01XmLxRJN/IWxTtjTRZ7jCIU9CUAIaf/DwdGx4SHH3Q0vfLUlfs8p%20/c5TRNMy3AJYIgGSqKuzi/vqvC/Csww0jWMGoSnOI+XQdqhG3cQ111zTp08fllBy//33X3311SyR%20IFTPWCwWM/gLY5NhH/G2sItfddVVKfdyA6MIr4lQOx8Rz0yaNKlcuXIVK1YcOHDgnDlzNiSAgCS2%202PLly0+cOJGpChjovMViCRt/YWwy7KPf1tChQ5nkjYFRhNdEqJ23nrFYLAWLvzA2GfbZ0ZaBUcS0%2089YzFoulYPEXxibDPjvaMjCKmHbeesZisRQs/sLYZNhnR1sGRhHTzlvPWCyWgsVfGCPsLRYLYCFh%20sVhii+/9j0nhkx1tGRhFTDsfa89YLJYswN8BwuQBJTvaivVRPtTOx9ozFoslC/B3gDB5QMmOtmJ9%20lA+18zrGA7yZT8SA8y0WS3zxd4AweUDJjrYMjCKmnVcYT+fNfCIGnG+xWOKLvwOEyQNKdrRlYBQx%207byX8TTfzCdiwPkWiyW++DtAmDygZEdbBkYR085Ljaf/Zj4RA863WCzxxd8BIuUBhZ7a7HiU8+OP%20P75o0SJ6bDHQfLkPNJmkAVkWnxYNWd+CjiYNzfHAT0ejbjT7QK81EP1G7tLxlU4T4XU+mGUgNZ7+%20m/lEdPpvsVgKLf4OECkPKDga4sBNR3P+zH7a/yDoH9OB34MXzKIKbSEVMv3+Ww69VgICBiVuV174%20GgWU6bUGsEyvy9AhCp33axlIjaf/Zj4R/f5bLJZCiL8DRMoDCo59tO2Ju5Fj/+NGIDiuG0S4mi9o%2062UJbXxVoSvLlNc3hN/OwFeoEtLmDcLrvC/LQGo8/Tfzifjqv8UvzZo1a9myZdeuXbtYLC6wMCpV%20qqTzP+0CxN8BIuUBhe9/BO1GyBT3P35wpz1S1BcJcPDCVQis0RaifyAG+m3BOKCBKDZvjq9RwFHo%20NrmFTh10iELn/VoGCuPpvJlPRL//lgBgmv73v/+xhMXi4qKLLvr9999ZIpL4O0CkPKA49j9AR3Nx%20/8OBkoogK3YpXwcv7HwOU/SNnKMzXui0hW47juzIEYcjRXMU8Jtjw0MSdXV28YLtfDDLIKXxYG/m%20E9HpvyUwdv+zqCl0+18GyY62DIwipp2PtWcswO5/FjV2/wtOdrQV66N8qJ2PtWcsQL3/3X333ZUr%20V65UqdKll176888/U+b69etbtGhx8sknn3POORcngNC9e/f9+/ejdO/evX369KlTp07dunVbtWo1%20a9asyZMnr1ixokmTJieddFKtWrWoSs2aNZ944olHHnnk3HPPLVu27BtvvEHGFy5cWL169Ro1akAH%20ReXKlYMpyPXq1TvllFPefPPNiB+Lsw+7/wUnO9qK9VE+1M7H2jMWkPL67+GHH27bti3tbRwcELEt%20TZkyBTKKZs+eTfljxow5++yzsUFSEkAeMGAAhF9++QXbJLY3yDt27Pjkk0+wU0L++uuvX3jhBXQD%20O9yWLVuQ89Zbb02fPh3CRx99BGs//PADZGLQoEFFixZFznfffYc9eOnSpazAEhp2/wtOdrQV66N8%20qJ2PtWcsIJ39r3bt2jfccEPz5s3PO+88yi9duvRNN91EMhg7duyZZ5559NFHjxgxYuvWrRUrVqxf%20vz4U8HnHHXf8+eef0MH+99///hfCl19+ias9bJZvv/221/63cuXKChUqYJdlaUv42P0vONnRVqyP%208qF2PtaesYCU+19OTs7NN9984MABSuJajf4HV7du3WnTplEmgPx+AszX0KFDWW5CH7vdvn37tm/f%20XrNmTextlA+DKFq1ahVaf+WVV2gvBAMHDoSFkSNHQl6+fHmtWrX4/gcB14gNGjTA5SPlWAxg97/g%20ZEdbBkYR087H2jMWoN7/sKs99dRT2I2wpQ1J8PLLL+NKDhd2uKR7+umnKfOJJ56YN28e3yO/+uor%20FA1OAE3krF+/HkYArFEVgMu7TZs2DRo06MknnxT/Box9bs2aNatXr0ajzz77LEqhDDXsl0wjL2/D%20hg0wrt65LRnB7n/ByY62Yn2UD7XzJufXEgYpr/8shRy7/wUnO9oyMIqYdt7k/FrCwO5/FjV2/wtO%20drRlYBQF2Pn+/fsfeuihXbt2HTNmzLJly/bs2YNPyMhBfk5ODtOTYXJ+LWFg9z+LGrv/BSc72jIw%20igLp/Pnnn9+2bVuW8Oamm26qU6cOSyRjcn4tYWD3P4sau/8FJzvaMjAKw52fP39+uXLl9P9Ht337%20duijFkvnY3J+LWFg9z+LGrv/BSc72jIwCsOdr1q1Kn/ihibQRy2WyMfk/FrCIMD+t3LlyjFjxvTr%20169Pnz45OTn//e9/N2zYwMosWUeh2/8uS7zwwQ3d9+ML1GKSEnraMoceuyxmpnwQM4Aak2TQY7s5%20FRKv6BMzKUcKSpnkAT0fnEPPkhYzHU+XdgMdJsnIeOdLliy5e/dultADF4vu99NKjVtihOb+l5ub%20279//xIlShxyyCGJFefk//7v/0qVKvX8889H/F05Fr8Uxus/OnYH2PAc6LQlcjCS8qvQ8R2flEwJ%20r6jG8U4G7Ezpv+WAQ6cO3G/YlnRe/gAMd75r1670VCp9oN+lSxeWyEffM5ZoorP/Pf3009jeMNc6%20YI98/fXXWU1T4ACNHRrC/v37d+7cqb8HHzhwYNeuXfzuewJGHDluUBGN8lsesxi7/x08zpIAxMuO%20lBskdJikDV326e8cHP22aAhoIuVlGeFrFOQ6GHe8C0mN+c7fddddN9xwA0uk4sYbb4Q+Swj48owl%20gqTc/5555hnMsl8U365jfzrjjDO6devWvn37o48++qabburevXv9+vVXrlzJNHzy1ltvHXPMMc8+%20+yxLp8fy5ctPO+20u+++m6Vl7N2795Zbbjn77LMLwxe/dv/7a/8Tv5Mk1LsUFJikDd9ffe0fwFdb%20GBG1wtJKfFkG2JxQBZ8srYGvJjLVeYT6eeed16xZM68j4KpVq3B8hA40WVYymn2wRBb1/rdjx45/%20/vOfibXmjzPPPJOZkEGXTdjwqlSpsmLFCsi45Bo2bNiRRx6JqP/888/r1at3/PHHL1y4cM2aNTDV%20r18/XKVhoV5yySXYO8XnrhE4Ro8YMQJmcalau3btX3/9FZmvvvpq9erVGzVqNHjw4CeffDInJwfb%205Pz587/66quaNWs2adIEF3mTJk2C/P3330MfRQ0aNEAr2IzFs72tW7fefvvtLVq0uOeee2AQ2zYy%2033///apVq8Is7F988cX0yO+BAwdiUzzrrLPomxJ0/oILLujZs2fv3r13796Njf+hhx5CTsOGDZct%20WwYFHE7PP/98GKGn5EQTu//9BSZM87KD0GlLBKtf/HLPV3VNZQyKDwFtoVbKC039bsAU37bpXMHt%20QykF23kcEYYOHdq2bVtEL/TxCRk5yGcaHmh22xJZ1Pvf9u3bS5cujVn2y+mnn85MeCPufwQ2NuxA%20EF555RVsKgMGDMDO9N5773399dfYeL755htSw/6ELY1kAsdoXKdCWLBgAVbvvn37cH2JXZNKW7Zs%20iWCEgF7Rk7XHjRuHrRT7Jc7wkIndCwZpYwMIYWxaJBP33nvvzTffTHLXrl179eq1ZMkSfv3XqlUr%206s/SpUs/+OCDK6644tRTT8Xm99xzz1WrVu3+++9HHMGTrVu3Pvfcc6+66irsuOXLl8fAoYmcd955%20R3zGd9QodPsfv7wA7t2OtkbCXeoAOkxSggVHBgHfMOgqiuCbigKoMUmG2G3HFsWhTDeKIoK2IoIi%20DYiDSnktCB0myQi18+kQqnGLAVJ+/4nToMT68sfUqVNZfW9w0Mf2gB2IpRP06NGjcePGy5cvx9aC%20CylceO1JgENNmzZtoPDjjz/WqFFD3DUBjtH0/edbb72FUgiIjgsvvBCXXJBx6UZRictKutK65ZZb%20jjvuuHfffReto5WNGzfOnj0b13N0IXjppZdii+LbLcDlIK4Xc3Nzf/nll7p1686ZM4cuIn/66SeU%20Yn8dNGgQLh/RIi5kP/zwQ5jCnvrYY49hb4PC5ZdfPmXKFOypd9xxR8LewW+VoYYcbC3YStF/v/9H%20M0ZhvP7LFNnRloFRxLTzJufXEgYp9z+A6zBMtCaHH374pEmTWE1vsKVh19m8eTP2CXoRIIE9hr69%20BL/99ptYhM1s7dq1P//8s+NlTNu2bcM+hHwowCCErVu34toO1bGJAmw/tP+hIrZPGMEBHa1AB8pc%20H02jS+vWrUMRukfGCWxUbdu2JYOkCTuoiO0QrUPYtGkTbEJGdXxu2bIFmTCCKtjmuTVYhgKGTDsK%20PqkulUYTu/8FJzvaMjCKmHbe5PxawkBn/wPYWu68807Fv0APOeSQIkWK4DIoasfKMWPGHHPMMaef%20fvpHH33Esnwyb968SpUq/fOf/5w7dy7LKkzY/S842dGWgVHEtPMm59cSBpr7nwg2ElwR3nHHHZ07%20d+7Rowf2vC+++IKVWbIOu/8FJzvaMjCKmHbe5PxawiDA/mcpVNj9LzjZ0ZaBUcS08ybn1xIGdv+z%20qLH7X3Cyoy0Do4h15y3xxe5/FjV2/wtOdrRlYBSx7rwlvtj9z6LG7n/ByY62DIxCp4mJEyeWL1++%20YsWKAwcOnDNnDv23GwKSyESR9H/nJqfAEjvS3P/27dvnuBvBkmXY/S842dGWgVGom7j66qvvv/9+%20llDSp08fHNFYIoHJKbDEjnT2v1dffbVo0aIlS5Z87733WJYRlixZQnfN//HHH1OnTt2yZQvlp2Tv%203r0zZ86kZ5VxVqxY8emnn7KEB++8887atWtZwhQ///zzwoULvZ7lDSesWbOGJfKZMWMG3cKPQdH9%20Hrm5ubNnz9Z/i4Abu/8FJzvaMjAKryYWL1587LHHrlu3jqU1gDKqoCIlTU6BJXYE2/9+/fXXK6+8%20EkuL07Fjx5RHyd27d3fp0uW666774IMPPv744759+zZq1MjxJJeUYFeoU6fOkCFDWDo99uzZ07x5%20c/5YFinYPM4880ydm/ozyIEDB4YPH37WWWeJTwDg/PDDD2efffb48eNZOpmdO3feeOON/IFtBAw+%20/fTT9Pg3X9j9LzjZ0ZaBUXg1Ua1atQBLFqeB/AGMJqfAEjsC7H+vv/760UcfjXXl4LjjjuNnXW6w%20+ZUrV65Pnz4snQDXN6g4duzYunXrnnHGGf3798c+etlll+Gg/8svv2CzfOSRR9DDe++9F9cxrE5e%20XtOmTYcOHYqD8k033YQAoYeQ9e7dG3X/85//XHXVVQMHDnz33XdPOumkwYMH//nnn8ivVavW5s2b%20sc+deuqpX3/9NfSfeOKJTp065eTkVKpUiT/tE/v6nXfeeeSRR9522239+vWrUKHCiy++iPzzzz+/%20WbNmjz76KPr50EMPIeexxx5r0qRJr169ypcvj93oq6++6tGjB6xhR1++fPn27dsffvhhdP6GG264%209dZbf/vtt4T5v8AuDv0BAwZgCLSNoefoz4MPPnjJJZeMGjUKOfBz7dq1t27disyjjjoKPvnkk0/Q%20HBpFaYMGDerVq4dR4GygdevW6DmaO+aYY2h0d999N+1/cHjZsmXff//9cePGHX/88dgXn3nmmerV%20q8Pb6DYuLrt27YqRYneEspRCt/8lFvNBxKduio+gpIcJYXGIClKgzCQljkdZkn0xk3LUQI1JMvhr%20JQh6IKeYqXhEJ0qZ5IHoHECPRRUzAz8otWTJkljZLKENwo+/q9bLssUCfO1/u3btaty4cWJFe4Ij%20vvtwD7CMsUFiC2HpBEuXLkUV7FWDBg3CoRk569evxwEd+yj2IVzi4CoTu13Lli0/++wzqgKQQ8+b%20hhp0duzYAWVsSFSKDmDvgfCvf/3rySefhDB//nzsf1u2bFm7di12O4wX1W+55ZaE+sEnjt5+++0k%20g2XLlmF7oD0V3cN55Pfff489gK7/XnrppYsvvhh7ObbniRMnYsfCzoQzVBhv1apVqVKlMBAMH1tR%205cqVr776avQBOyL2rYTtJNDPYsWK3XXXXdih//vf/1566aX0CNANGzZgc/r8889nzZpVs2bN/fv3%20o0vY9rZt24ZS7Jf33XcfhPr160+YMOGgocQWNWbMmB9//BFnA479D9sntnxsyTiBqFGjxsyZM5GJ%20rRSORaPYAp977rmDJrwppNd/OGQDKIvfHac8jjvQbIsDfV6FNiexdTW8ohp6LDV/bQJGlHJz1bQM%20yGPY+SiJPTXl+xkIryYQnBTMvkAVVCRZv/OWQoj+/vfaa6+VKFECyykl//jHP6QXgthIcNTGnoGr%20H+wf2JxwfYNgwcUHtgHsFtgJcNzH0R+HaewZZ511Fi5ccATHTkMvDAI4Fl944YW4JEItdAlH/DVr%201rz55psVK1bE1STMYkQUMtgA2rRpA31c/x166KEI848++gjXoDCF4z5OEJ9//nnsW7iKQodnz55N%209lGKqyjsDTiJvPbaa3GhuWfPHnSJ3i+BKzO0Ti8/evvtt3F0wu6CLQSmunXrBoUHHngAF4gwgq0L%20CtgLR48eDX10AxsY/6/Ql19+iWMFhoYNFRshBFzP4aITWyAuBOm64oUXXjjttNNw2Qq/YZgYI04C%20kIMhwDKGiR0XZxXoGPoJb3z88cc44CxZsgRbHYYMBRhZvXr1iSeeuGDBAlzqYeeGMpwGP2MK4N4r%20rrgi0R0VhXf/wyddxPDrPHH/Q34Gdw4OXfbp7xwc/bZoZ0UT4nAU+BoFeQzGU14ciyia6Nev3+WX%20X84SGjRp0oS/+QX46rylsKGz/+EC69///jcWki+w/TieIm0G7HkBThk5H3zwATYGXEuxdOaYOnUq%20dmiWiABPPfWUzqlPod7/CMiohW3DwP5HmxPwtX8AX23RiDSr+LIMsPmhCj5ZWgN1EzgHvPLKK889%2099x58+axLBcowtk0TuigzLIS+O28pVChs//t3bsX1zE4CPoCmx8+mQlTjBs3Dlc5derUwTbGsvyw%20YcOGm266CXF0//3307eRmQIOBCxRoODKD6fI7dq10/xHq93/DsJ/zWLphJ2M73/Y88RvJn1V11TG%20QPjQ6L19KS809bsBU3zbpgtZNEdJNZpN7Nu3b8KECXfeeWejRo2OTQChZ8+eyPT6n7R+5y2FEJ39%20z1KYKXT7H+0KhGNv4DsHK061BUKBSUqwZ5A1wDcMuooidK4FocYkGXz/Bo4tikOZbhRFhOgx7hBx%20UCmvBaHDpEwTnmVLFpBy//vqq69GjRqV/rXL+vXrcXFGdmbNmjVjxgzKJ3DhNXr06F27drF04sa1%20KVOmSP85EoCFCxcqvjuxKCik138ZITvaMjCKWHfeEl+MXf9NnTq1Vq1aW7duZelk3nzzzerVq4t3%20pkOzXr16Y8aMYWn/bNu2rWfPnh9//DHkW265hf8jLABbtmxp3rz5a6+99s0331x66aWOXXnlypVN%20mzY98sgjaYvdv39/p06dBg0aNHDgwKuuuop0sAHfd999EfkK1Bd2/wtOdrRlYBSx7rwlvqj3vy++%20+OKEE07A0Rw7E/anE088sW/fvo8//nidOnXoCSzEihUr2rZtO2fOHBzucRmHHCShiYu8U089dejQ%20ocjB3oD9b+fOnS+99FLx4sXpBoZXXnnluuuue/nll9u0aVOzZk1x/9uzZw92Gtr/hg8fPmDAgMmT%20J59zzjnvvPPO0qVLe/fujWSDBg0+//xzXCY+/PDDEyZMaNiwIX/JLS4fn3nmmfLly2MT2rhx4z33%203HPaaafBzh133PGvf/0LB3Q03ahRo+effx7H98ceewz70z//+c8zzzwTF7tdunSBW8SDPrYufo/g%20s88+e+WVVzq2BFy5wj/wAOR9+/a1a9cOrQPsi9gOu3fv/umnnx44cGDv3r2KO+2iid3/gpMdbRkY%20Raw7b4kvKa//HnnkEWxmELDBNGnSBIfC7du3n3/++XQnGYG9ChtSiRIlcI21efPmnJycVq1aUdG6%20devolvO3334b+98vv/yCDQDb5FNPPYUi7Gc///wz1Ohfl+79b/z48bj2Ov744zt06NA5AbZPXBpe%20e+21xYoV69OnD66ovv/+e2yfRx999BNPPLFjxw5WPy/v22+/rVGjBjZIyNj2aANDEo1iyNiKsPnB%20AvYtXB1i08IwMQro4JIRXcVV3UErCe6//366vQE8+eSTLVu2/PPPPylJiPufCHZrXAjCOHyCbRUn%20DXTDBiuOA3b/C052tGVgFLHuvCW+qPe/bdu2tW/f/vLLL8chG3sAdoVvvvkG20PlypVxWOd3s+Hi%205uKLL0Y+LqToXnJcILZo0QKbDXbEYcOGYc97+umnK1asCB3sAbBz22234RLt5ptvhvElS5bgAu6Q%20Qw7BHoNMsolrSmxUuPDCwRdXb7iiwmUfNr/p06dj38JVI7qNHeW///0vLKPRL7/8ErsgvyUc4LLv%203HPPxUaLyz7sWABb6dSpU3EVi0tGXNTC5meffYZ89GHRokXYbmEBG9tzzz130kknvfHGG8xQ4uZ9%20dBU73+zZs6EDyxjRhx9+uGHDBpSih4sXL8Y2j4tavgFjk8aezb8pnThxYrNmzdCTevXqiZt09LH7%20X3Cyoy0Do4h15y3xxdjvf9kHrvleeOEFx+1G2Yfd/4KTHW0ZGIXdpSwFgt3/LGrs/hccu/9pYvc/%20S4Fg9z+LGrv/Bcfuf5rY/c9SINj9z6LG7n/BKQz7X7DXsjuw+5+lQLD7n0WN3f+Ck937XzqvZXdg%209z9LgWD3P4sau/8FJ1v3v8Vpv5bdgd3/LAWC3f8sagrp/ic+vnJyPqxMG9RlkhLHczjpEZpiJn+o%20pgKoMUkGf60EQQ/kFDMVj+hEKZPyqZb2a9kduJuwWAygs//179+/dOnSzZo1uzoVLVq0wOGybNmy%204utqLbGm0O1/l112mXszwHaoswk58HtYhz6vQpsTPimZEl5RDe3rfC/HYFOOy205/deyO9DsvMWS%20WTSv/xYuXNiqVauUrwT68MMPW7du7fWQz127dvXo0eOcc87p1KnTa6+9tnz5clYgsG/fvoceeuiQ%20Qw6BKZYlgG0Vm2vLli1ZOp/vv/9+7dq1P/30U6NGjSpWrEjP0Ubm6tWrIfz4449Tp05NKKYARjJy%20NUzn7vS2vx07dnz++ef8vn4wbNiwQw89FB5g6cQ7ia688kqcZKR8OtqkSZN27tzJEkYoXPsfzZz6%20rT2kQ6j3JygwSRsyjg3Y7+Wmflu0s6IJ/joLNW7LCOMA79hEFa+H8AZwlMWSPvrff27atKlt27ZL%20ly5laRcDBgx47LHHWMIFNoDrrruuS5cu9NSYF198cdasWVT01FNPtWvXrnfv3vT8M3yeffbZixcv%20fuONNzp27Pjxxx+j6QcffLBPnz4oxe544403Yhto377966+/njCQ9/TTT9MvC3PmzKlevTrtf+PG%20jfvggw9effVVerAnqt9xxx233Xbb9OnTscs+//zzSGLLTBg4CPaeiRMn0qaFzYlAK5QjsnHjxp49%20e2II33zzDZ0Hoy165Cm6iuTmzZtr1649d+5cyEuWLBk9ejTtf19++SXOv5988slLLrlk2rRpyOHM%20nz+/atWqGAVckZOTQxvhH3/80a1btw4dOnz00Ufoaq1atUqVKoWcRx99FAMZOXLkqlWr7rzzTnQG%20Cmgawqj/b+/Mg6qs/gc8851pJscap2bKHJuyHC0hNTVQEYZFBTUMBpA0DUVJLMUVWRRBKXHJJccF%201zTJBcXQMtwwFcsFN1TIgSEFNdQQETdGRP09em7v78aFy+W6Xe/9PH8w55z3vOec94V7nvfzct/3%20LFzIjuqUJiUlcaRkCwoKIiIihg4dqq459u3bx6Zdu3ZxejlkSoxgW/5T4ZER/1XZikXYRZcxwIxp%20XbsnaaTZaqlTX5hP9aLLG6Xaao+4LHsVTByJIDxe6vr/PyxC+KLL/MuVK1eCg4N37typy9cMfnJ3%20d+ev3cfHh8CIOd3Dw2P37t1swhnt2rVbsWIFhfgPbVDYs2dP1R16aN68OQkcg0dJADZFAyQ6deo0%20f/58Epr/mPd79OiBaSgMDQ1FEiRu3rxJv4sWLSK9ffv27OxsEhrM8v7+/t9++y1pWu7bty8JjMWo%20lNU0OGkYFzEzEzJfYYg9e/ZQjrkRLV7k0BwdHZX/GIO3t3dFRQX6UTMAW52cnFJSUh609S8cIJFr%20eXk56XXr1rm6uuLpPn36oMnk5GSmWXrEx4hTGXfGjBnYi0RmZqa9vT0XBCiWCwJCWELwBQsW0CBz%20Dl0zHn6SRY0NGjTYvHkzCU477RQXFzMTGv/F2dz9T8416DJ6cKaUnPRvGFL4GP1HU/p3Juu0u4mV%20+ZOlZZWmL/aqNdCsqWU+sWYvy16Fup4oQXgs1NV/wAQ6aNAgFWNBVlYWjaBAla2JW7duTZw4kchD%20ZQm/unTpkp+f/8EHHxA8UcL0zaTPDM4npW3btkzrFAYGBir/MfU3adKEOuPHj8dSD5q4f3/w4MHz%205s0jwRyt4h5m+TZt2iiL+Pr6qn2Jn7TVGwjdXFxciFMNP/UEpphDrVZBfbVLTk5Os2bN9F/MTUyG%20ZSnhPNjZ2WVkZDCwlStXsomTgJ8wK2rp0KGD8h8qQroMiZNGFEuJ8t/333+vf7eTyvhPhWtcBBBN%20Ev726tWL7ijhZ1paGi5Urw9Vb9/28/OLjIzk6oFzhaRjYmJKSkoI9Tw9PQlMHzT68LwhYK5OVPb4%208eO5ubnEo+xLFv9xzrVAvFpszn8KFEhNRRUdYindhsd0/1O/QS241B+AEcVqUE2Xqg6aVU2B1pr+%20jVxQhYYY2aTgr7auy7JXodYuBOFJYIb/4Pz585gpLy8P/cTFxWkvwjYCMziT8tmzZxMSEvikEOJo%20H42kpCRKmKbxB4Yjy1Q+derU0tLSy5cvk8B5yAZNKmEwX48dO5YASEmXKT46OprPMnEMwiNCpXEg%20UmRsHB1CjYqK0qIcHED7hv9powLl8fHx7IuoJk2alJ6ejipIExQqpwIj5MDxN2NWQSpgJj7v9K4u%20Cwi56Jqmjh49ynhIq6/L0TJ7cdISExPPnDnzcNf/h2Y5Ug4Nh6kSAlYuGiIiIpStOYeMh8GoU8fc%20S0cqzVAx8YN9HkIX4eHhnCLOIdnTp0+j/JEjR2Ju+uXQOFIuzREt7dOpdjVjiI3677FgHX09haMQ%20/wnPBPP8BziPadR46GBpEH1u3LiRYVe5nykYQfxnPuI/ExH/Cc8Es/0n2AjiP/MR/5mI+E94Joj/%20BOOI/8xH/Gci4j/hmVCr/86ePdu/f39HR8fw8PCbN2/qSh9SWVl5+PDhtm3bmvgWQI07d+7s37/f%203t5+6tSpuiI9cnJy/Pz8OnTokJCQQE1KFi9e/P7777u6upaUlKg6BQUFISEheXl5Kis8OcR/5iP+%20MxHxn/BMMO6/7OxsZ2fnCxcukM7IyPj0008Nn20fOHAgatRl/mXAgAHMm5MnT759+/b69etdXFww%20pW7bvwQGBho+RJuent6jRw/1dYzk5OTQ0NATJ044ODjQb0REBCamfNmyZUuWLHlYXXjiWKH/BAtE%209+sRhKeIcf/9+uuvTH8qCDt+/DhR4MmTJ9UmjeDgYEP/QWxs7ODBg0ns3btX+56kPr169TL0H2IL%20CAhQ6R07dhAFEvNlZWVhvtmzZzPUsLCwoqKipKQkLy8vvFjr49vCIyLxn/lYR18iJ8FaMe6/q1ev%20+vv7qxegzJkzZ9CgQYaPOhD/RUVF6TL/hXjxiy++UE+UG0L8Z/i+mIKCAoaEa0nTbHR0tCqHhQsX%20qsfsiA6R37Zt2zZt2oQg1RNywhNC/Gc+4j9BsGRq/f/fvXv39uzZQ1im/tlGlmAuLi4uJyeH7O7d%20uwnFfvjhB+3Bdn0qKyuDgoK05/w0Kioq0tPTCd1WrFih7oteuHBh2rRpa9eupX3qb9myZfny5frr%20q+zcuVP/1mtZWdmGDRvWrFlj2LjweBH/mY+l9ZWYmFivXr2wsLCtW7eeP3/+zp07/CRNCeXqFRKG%20iP8Ea6VW/1WB+G/u3Lm1Pva3a9eumTNnjho1ysQn7Q4dOjRlypQq368RLAHxn/lYTl/+/v7u7u66%20TM1QR3u7kob4T7BW6uo/wdYQ/5mPJfSVn5//4osvqtcJmgI1iQXVyikK8Z9grYj/BOOI/8zHEvrq%201KmTehGt6VCfvXQZ8Z9gvYj/BOPYqP/UO6m1t1Gr90drKyeYSJ3MQWXQfy87adNbqKkm5aa8n1ef%20O3fu6Ldm+hgE4flC/CcYxxb992ABpOqWQDJlHQZ96moOZVnVCwPQ7GsKNfXl5ORkRvzHXrqM+E+w%20XsR/gnFszn/6EjJEbTVSQR+q6VJ1oa4r/ylq2iU/P79evXry/z9BMET8JxjHFuM/6hi51akUaHzl%20P4UZ5iDso2W1Mp/hGpVGMN6XfP9TEAx5jvx39epV9SYaQ27fvq1WRdenpKSEXUhUVlaWlZWpBf+0%20QjOgEcPXvz0iDFvZhUMoKiqq8jgjQ9XWHXxW2Oj//1QQpm8gSlT2CfkP81URHiUmdgSm9LVw4UIj%20z/8lJibq6v2XOh2FIDxHmO2/S5cujR8//q233uLT8fXXX1Ny4MCBxo0b29nZpaenG64uWxMpKSlu%20bm4xMTFxcXG+vr7qXTOGrFy58vXXX9+zZ48ur8eZM2e6d+/u4+Ojy/+XK1eu9O7d28PDo4ogN23a%20VNPn/anBzNOoUaN169bp8v8lIyOjYcOGanH8Z4iN+u+xYB19if8Ea+XR47/U1FSm6a+++mrMmDF1%20Da24AA0KCvrggw+U2LKzs0+dOkUiNze3W7duPXr0aNGixfr16ylBY1TbvXv3nDlzXnrppQ0bNuTn%2057u4uDg4OODaadOmOTo6RkVFtW3btmfPnjdv3jxy5Aj7rl27ln1Xr17t7u5+69atgwcPtmrVigbn%20z5//yiuvvPfee8HBwfb29qSTk5MZzNChQzt16lTtdP/333+3a9duypQpRIGffPIJ523SpEktW7ZU%207zitFq4D6Hf06NHR0dH0fvHiRX9/f0zMUGfOnEkFxkkFLvorKiq4mKBc7YiYGQbns1mzZkuXLlWF%20Vdi4cSMXH5MnT+7Xrx9Hym9hxIgRrVu3/vzzz9nKscTGxjo7O3OKQkNDr127xhnmBDJm6sydOzcz%20M7NPnz4cERcHjE21WS3iP/MR/wmCJfPo/mOqxQrMkgEBAXWdKFEXYE1mcyT66quv4ozDhw/jlfPn%20z6s6Tk5OixcvZo5GVCo6ZNZWLwIlcmrfvv3du3cZgJ+f38Pq9+Pj41ECCRSyatUqEpr/wMvLS70y%20m1gTaz7Y4f79zz77bPr06QwDrRq5w4m9kAoJzDRw4EASBQUFjAptP9xelRkzZjRt2nTs2LGnT5/G%201ozn999/V5s47RMnTuR0MTA1SI5FPXPF4PHTw1oPjn3RokUqXQUuCNCe+lrDhAkT0BgJxkOPeXl5%20DPW77757WPE+rXl7excXF7dp00ZdTLDXG2+80aVLF2T85ptvjhs3TtWsFvGf+Yj/BMGSeRT/3bhx%20g2gMFanni/AKAqvpbl61EJcMGDBAewt2ZGTkkCFDysvL3dzcKKeEqZyQrqioiFAJKWZkZFDo6emp%204qcvv/zy5Zdf/vnnn3Fex44dKysrmeWJGnfu3MlWStT/UxhS586dmcRppGvXrsp/RD8ET0ePHkXA%20hF94FCOSZVNNIBXiJxKjRo0iqCJx9uxZgir1KlRDhg8fvm/fPtp3dXXF6yEhIYyNc1VYWIj26It+%20kRChJ5UJVRkwCUzcoUMH9EagiVzZpdplDv/55x/8pwas77/mzZvjWq4Y2Ip3KSTG5dfEyeG6IS0t%20jRKGTb+//PILaVpQsS/pahH/mY/4TxAsGbP9x9xdWlqKAq9fv/4wirtHggBLK9HVMwrV8AE/aaqk%20pIQ2dRvu32fOpYTWSFOBBPaiZfUNEcTJVmZtbRfKcQYxnOqammok2JTKand+Al6hMv1Srs37J0+e%20NL6mIIem2mQvldAaJKuuAKpAIUfBqLRebt++TZYW1CBVC2QZpDZgyqnPCSFdk3jYna3qhKiBqQRN%20qUIqcIycDbpTY1Ob+KlOINAd55BCla0J8Z/5iP8EwZJ59PufzzUIKSwsjCle3RgUDLFC/wl1RXfu%20BMG6sHH/CbUi8Z/5WGtfgmAdmO6/q1ev5uXlVXujT7BixH/mI/4TBEumVv+tXLlSfYskJCTk448/%20vvHwH3Lm8dtvvzVp0qR+/fqGK7YXFhb27t177ty5I0eOjIuLoyQ5Odnb2zsqKoqfqs7169fDw8O3%20b9+ussLTQfxnPuI/QbBkjPsvJibmtdde8/DwSEtLW7Fihb29fXx8vI+Pj6enZ3FxcUlJib+/f0BA%20gIODw5gxYy5evNizZ8/WrVtTh/LOnTvfMniwbO/evU2bNq3ynYuKioquXbuqNXVRY1BQEH1NmDAh%20MjIyNzfXzs6urKyMklmzZqn6wtNE/Gc+4j9BsGSM++/atWtMf+q7IUuWLOnevTtTYWlpqZOTk9LV%20yZMnly5dihepRnliYqJ6D8vly5ednZ23bNnyoBU9MjIy3n333Sr+w3kuLi7q2T7SCHX27Nmkr1y5%20cu7cOSyLC0+dOpWZmUm1Xbt2oVj13JvwFBD/mY/4TxAsGeP+Q1SEcRgOb82bN8/Ly4sS3Obo6Ij/%20ZsyYERgYSLUFCxZ07NiRiJAQTd2uvHTpEkGhesJMHyT3zjvvoFWVVc8hkNixY4efnx8GTU1N7dOn%20j/bAAOolmlTprVu3urm5FRYW4j8sqAqFJ434z3zEf4JgyZj+/ZcnBIbLysrSZQTLw4b8t+bherNN%20a1j5j02mrHmkT52cRGXQfwW2Go8uUxum1xQEQfEM/Xfv3r1z586VlZXp8oJFYlv+Ay8vryoKnDZt%20GuUUPlH/gf7Sg3RHVpWbgvhPEOrKM4//BAvH5vxHAvdgQa1QE5LmP7Zqb4+lHFS6CuY5icbN2FH8%20Jwh1RfwnGMcW/QdUw0NEYJoINf9Rp0ojZDUd6mOGk+jlSax/KwiCIeI/wTg26j+gpn5gp/lPpbV2%202EW/mj51chKN6PcOqpfHuP6tIAj6iP8E49iQ/x471tqXIFgHj+g/rk1jY2P9/f1nzZqVmZlZXFx8%2048aN/Pz81NTUYcOGBQcHp6Sk6KoKzyfiP/MR/wmCJWO2/7Kzs319fffv36/L10B5efmkSZPi4uK0%20R/qE5wvxn/mI/wTBkjHPf4sWLYqPj1eL2JnCn3/+SYyoPfZuOhs3bjRvZaKkpKQNGzboMk+YS5cu%20zZ49u6ioSJe3LsR/5iP+EwRLxgz/nTx5Mjw8vLS0VJc3ja1bt0ZFRekyBlRWVoaFhQ0cOLDKK0OH%20Dx8+ePBgXaY2kNDChQt1mcfNTz/9hPKrjWKzsrLatGlz4sQJXd66EP+Zj/hPECwZM/yXnp4+evRo%20XcZkzpw5Q1+6THXQ5pAhQ0jgwtDQ0ISEhE2bNn344YeqcMqUKbNmzUKi7u7ua9eupXL9+vVdXV3T%200tLc3NwWL178119/de7cuX///seOHVu2bNkLL7ywcuVKdoyIiJgwYQJBZKtWrbT3sd29ezc2NvZ/%20//tfz549N2/e7OXlRWLOnDlz585t0aIFDs7JyRk1atQff/wxbtw4b29vGu/bt6+np+eBAwf27dvn%205OSEDocOHRoQEEAQfOrUqXbt2uXm5h45cmTkyJG7du3q3r07Y1B9Pe9Yof+sFd0RCoJgGmb4r7Cw%20kPgPn+nyprFkyZL58+frMtWh+Y8wLiQkRN1cRSeEgCiNWXjYsGHR0dExMTGpqanIxsHBAd9Qh7Ay%20KCgIa/br1++bb76hhDRSXL16Na5CRcXFxRRW4ezZsy1btjx48CBpXNurVy8SeXl5dnZ2NE6/Hh4e%2048ePx3+0WVRURL/BwcFqVGvWrKFTX19fZ2fna9euUR//ZWdn3759e/r06Q0aNBgwYACFD7p5/rE2%20/wmCICjM+//foUOHiIdKSkp0+dogPkMkukx10KCPj0/Xrl0Juc6dO9epUye0t2XLFkdHR3RC3DZz%205ky2UoJ7Vq1ahdsaNWo0b96869ev+/v7M0djZZzUrVu3FStWbN++HY0RwDFxo+r27dtv27btxx9/%201F87kDYbN26MksvKygIDAxHYiRMnUlJSGjZsSBfIjDZpf8eOHYy8vLyceO6jjz5KSkoaMWIEo2Ik%20JN5++23CRwbDXsuXL9+7dy9SpBc8bfx4nyPEf4IgWCfm+Q/u3LkTERExduxY4xZEBnRx4MABXV54%203hD/CYJgnZjtP41jx44ReI0ZMwYXqrgnMjKS2IvwiJDIwqdOoVbEf4IgWCeP7j/BuhH/CYJgnYj/%20BOOI/wRBsE7Ef4JxxH+CIFgn4j/BOOI/QRCsE/GfYBzxnyAI1on4TzCO+E8QBOtE/CcYR/wnCIJ1%20Iv4TjCP+EwTBOhH/CcYR/wmCYJ2I/wTjiP8EQbBOxH+CccR/giBYJ/gvISEhKSnpB0EwgD+MVq1a%20VVRU6P5cLBLxnyAIgmCLiP8EQRAEW0T8JwiCINgi4j9BEATBFhH/CYIgCLaI+E8QBEGwRcR/giAI%20gi0i/hMEQRBsj/v3/w96vWKt5rrU2wAAAABJRU5ErkJggg==" height="602" width="597" overflow="visible"> </image>
          </svg>
        </div>
      </div>
      <div class="fig"><span class="labelfig">FIGURE 2.&nbsp; </span><span class="textfig">Map showing the relative mutual solubility of pure metal pairs, defined from their binary phase diagram (According to <span class="tooltip"><a href="#B11">Rabinowicz &amp; Tanner (1966)</a><span class="tooltip-content">RABINOWICZ, E.; TANNER, R.I.: “Friction and wear of materials”, <i>Journal of Applied Mechanics</i>, 33(2): 479, John Wiley, 1966.</span></span>. </span></div>
      <p>Both the combinations indicated as completely insoluble, showing a negligible solubility in the solid state (<svg xml:space="preserve" enable-background="new 0 0 15.748 11.249" viewBox="0 0 15.748 11.249" height="11.249px" width="15.748px" y="0px" x="0px"  version="1.0">
          <image transform="matrix(0.7499 0 0 0.7499 0 0)" xlink:href="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABUAAAAPCAYAAAALWoRrAAAAAXNSR0ICQMB9xQAAAAlwSFlzAAAO%20xAAADsQBlSsOGwAAABl0RVh0U29mdHdhcmUATWljcm9zb2Z0IE9mZmljZX/tNXEAAADASURBVDjL%20rdOhDkFRHMfxY2ZmBE1UNLNJXkBi8waSIpoXuNsJmmdQFA+gaaKqUEUUG0VwfW3nH9i97jn3nt/2%20aWff7YS/0lqrJCyHPgpW7y2jQ9wx8RJlDZwQ4op2pijLY22CYotyluj0JyhmqaKsg1tM9ImeU5RV%20sYsJigNqLtF5QlAsraJsYL5nE31h9DfK6jhaBsUZzciouZqVY1BsUIqKjlMGRfAVZS1cMkYf6Jqe%20KporCT3Yo/KJBp6CYvEGglZmTjihW6wAAAAASUVORK5CYII=" height="15" width="21" overflow="visible"> </image>
        </svg>), as well as those indicated as two coexisting phases in the liquid state (<svg xml:space="preserve" enable-background="new 0 0 14.998 14.248" viewBox="0 0 14.998 14.248" height="14.248px" width="14.998px" y="0px" x="0px"  version="1.0">
          <image transform="matrix(0.7499 0 0 0.7499 0 0)" xlink:href="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAATCAYAAACQjC21AAAAAXNSR0ICQMB9xQAAAAlwSFlzAAAO%20xAAADsQBlSsOGwAAABl0RVh0U29mdHdhcmUATWljcm9zb2Z0IE9mZmljZX/tNXEAAAD2SURBVDjL%20rdQxS0JRFMDxG4ohOAU55CTkh3DyQxSNES2NOTiIQ/DQ1cXdyUkwB3Fxaaq2aoiguQYFcRDXsP4H%207ovL44pP3znwg7fcP7zHu8cEQWCimBTKqGOIN3xgjCYqOPSe9cTO8YTfLV5wuTHIHEAefmLEXB1k%20fcFgx5Cri/R/kLnAOkFQ1GzL5PCZMCamOJHgmUIsdCvBnmLw0dh/TCu4kOC3YlCYd8XYUoL3isFX%20CV4pBu8kmFf6jvK6pfCmVBWCbffqZTBIEHvGUXQ5HKO/R+wBp959aBdrA18xQjO03NXlXbA2XMA1%20Rpg7kRUmuEHRd/YPOv1zEqLSJOgAAAAASUVORK5CYII=" height="19" width="20" overflow="visible"> </image>
        </svg>), give rise to tribologically compatible pairs. The identical metal pairs (<svg xml:space="preserve" enable-background="new 0 0 14.998 14.248" viewBox="0 0 14.998 14.248" height="14.248px" width="14.998px" y="0px" x="0px"  version="1.0">
          <image transform="matrix(0.7499 0 0 0.7499 0 0)" xlink:href="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAATCAYAAACQjC21AAAAAXNSR0ICQMB9xQAAAAlwSFlzAAAO%20xAAADsQBlSsOGwAAABl0RVh0U29mdHdhcmUATWljcm9zb2Z0IE9mZmljZX/tNXEAAAHdSURBVDjL%20pdSxi5JxHMdxLTJKQxBRcchBSHF2yqHBf6AhpC0SN0M4D8FcQqUhBcEQW9LFRQzCRDgQTjzhcPCM%207sAmEergHMrj0s2hT5/v4YXII9w9fuE96fPix/P8fj9NMpnUrMe5xR6z1+wL+8ZO2B5LsyfsnuKz%20Ctgzdmg0GuHz+ZBIJFAoFFAsFpFOp+H3+2EymcD/HLPQRpBzh73VarV/g8EgBoMBNs1wOEQkEoHB%20YBD4A7uvBL7T6/Uol8u47jQaDdhsNkE/Mt1/kPNcp9OhUqngptNut2E2mwXdXVqaB+x7NBqF2slm%20swKesYcCPrVarZhMJqrB+XwOt9st6CsBy4FAANtOLBYT8EDAr7lcbmuwVqsJ+FvAn2o+xvq0Wi0B%20Jc2JbNxtp16vC3Yh4KdQKLQ1mEqlBDwS8IXD4cBsNlONLRYLeL1eAd8IaONxO81kMqrBarUKGn9o%20Pbo6KTsWiwW9Xu/G2Hg8hsvlktW9Xz16d9ln+aHf718bG41GlzcSn+0x8/rlYGU1u92OfD6P6XS6%20EZL3XSqVrla2z5yK9yHn9vJS/eF0OhEOhy+3Q6fTQbfbRbPZRDweh8fjEegXy6xeXYoX7BK2s5es%20wc6XG1aSF99i4dVVrfYPbpAP8yFsEagAAAAASUVORK5CYII=" height="19" width="20" overflow="visible"> </image>
        </svg>) are, of course, completely and mutually soluble and show 
      little compatibility. Other pairs show different solubility ratios, as 
      shown on the map. In general, slip pairs with high mutual solubility 
      show low tribological compatibility and, therefore, relatively high 
      values ​​of K; a low mutual solubility, which leads to good tribological
      compatibility, is needed to obtain low values ​​of K (<span class="tooltip"><a href="#B14">Totten, 2016</a><span class="tooltip-content">TOTTEN, G.: <i>Surface Modifications and Mechanisms</i>, Ed. Marcel Dekker Inc, New York, USA, 2016, ISBN: 0-8247-4872-7.</span></span>; <span class="tooltip"><a href="#B7">Ludema &amp; Ajayi, 2018</a><span class="tooltip-content">LUDEMA, K.C.; AJAYI, O.O.: <i>Friction, wear, lubrication: a textbook in tribology</i>, Ed. CRC press, 2018, ISBN: 0-429-44471-0.</span></span>).
      </p>
      <p>Mutual
        solubility is not the only factor that influences compatibility, which 
        is also associated with the properties of surface films (usually oxides)
        in slip pairs. The absence of significant oxide films in noble metals 
        such as gold, platinum, silver and rhodium, tends to be associated with 
        low K values, demonstrating that oxidative mechanisms play an important 
        role.</p>
      <p>Some metals with compact hexagonal structure also show an 
        abnormal behavior, associated with their limited ductility, compared 
        with metals of cubic structure, and also with chemical factors. 
        Titanium, Zirconium and Hafnium, for example, show a relatively low 
        reduction in K value, when lubricated with any hydrocarbon lubricant, 
        compared to what they have when working against each other without 
        lubrication.</p>
      <p>The hardness of the steels and other metals that form
        layers of oxide during the sliding process, is of importance in 
        determining the stability of that layer and, therefore, the predominant 
        wear mechanism. If the metal is hard enough to provide sufficient 
        mechanical support to the oxide layer, medium wear will occur with low K
        values ​​through an oxidation mechanism. Thus, the hardness can have a 
        strong influence on the adhesive wear resistance of some metals, but 
        although the increase in the hardness of a particle of an alloy can have
        a decrease in the value of its wear, the hardness does not serve as a 
        prediction factor of the wear resistance of the different alloys. Other 
        factors, especially the presence of micro structural components such as 
        carbides in steels and graphite in cast iron, are sometimes of greater 
        importance (<span class="tooltip"><a href="#B8">Martínez, 2010</a><span class="tooltip-content">MARTÍNEZ, F.: <i>``Tribología Integral,</i> Ed. Editorial Noriega, México, DF, 2010, ISBN: 978-607-05-0271-2.</span></span>; <span class="tooltip"><a href="#B10">2017</a><span class="tooltip-content">MARTÍNEZ, P.F.: <i>Mantenimiento Industrial. Conceptos y aplicaciones</i>, Ed. Editorial Cuba Azúcar, La Habana, Cuba, 2017, ISBN: 959-261-526-8.</span></span>).</p>
      <p>The
        resistance of metals to severe conditions of adhesive wear and surface 
        damage under high normal loads, cannot always be correlated with their 
        resistance to wear under less severe conditions. Several factors 
        influence the resistance of materials to surface damage by sliding: the 
        effectiveness of the surface layer to prevent adhesion, the resistance 
        of the adhesion, once the film is broken, and the extent of the bond 
        formed. The mutual solid solubility as an indicator of the strength of 
        the adhesive force, plays some role; metals that bind strongly are more 
        prone to surface damage by sliding. Hexagonal metals with a limited 
        number of landslide planes have a lower tendency to this type of damage 
        than metals of cubic structure, presumably due to their lower ductility.</p>
      <p>Some
        investigations have shown that those metals and alloys with a high 
        degree of deformation hardening, presents lower tendency to superficial 
        damage during the sliding; however, this factor is not infallible in its
        prognosis. For example, austenitic steels, although they have highly 
        deformational hardening, show high surface damage in this type of 
        process, when their structure is transformed into martensite. Hardness 
        alone is a poor indicator of the resistance to surface damage during 
        sliding processes: in steels, for example, a high concentration of 
        carbides or nitrides show a high resistance to the process of surface 
        damage by sliding, higher than when it obtains a similar hardness, but 
        with a lower concentration of these hard and brittle particles.</p>
      <p> <span class="tooltip"><a href="#f3">Figure 3</a></span> shows a 
        comparative diagram of typical values ​​of wear coefficients K of 
        different materials under sliding conditions with different forms of 
        lubrication.</p>
      <p>The hard coatings or the layers deposited by 
        diffusion, which are also of a very limited ductility, present a good 
        resistance to this type of process. Rough surfaces, preferably those of 
        random structuring, (for example, those generated by sand blasting), 
        generally increase the resistance to damage, probably because the growth
        of the joint is limited, greater probably to the damage.</p>
      <div id="f3" class="fig">
        <div class="zoom">
          <svg xml:space="preserve" enable-background="new 0 0 500 234.27" viewBox="0 0 500 234.27" height="234.27px" width="500px" y="0px" x="0px"  version="1.0">
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G2+8MbWK%20QybPM23+EOlcZs+LVVCpIN64ccNVqKyCOnv27NoqqDxrWtMcLYg//PBDupUPKp1nz55Nt4pDRuh7%20mDdvXvq2D+hFZi8KrgOoWs8++6z7EZCw00pZpPU0FdJffvnF+fvcvXs33fMouDsUtZOLBwwys48C%20ablo0aL7FdRxGW8ctK6eO3cu3SoO/jaUUgZx6ZrpL0aU2SdAxY9S4Ouvv0735AfVafv27Q9l3CJQ%20FPsOV2I6asnsr7/+errWL6ig0uS+atWqwurKnj17cuvZNErxHIMfjVZaMR3K7FOAYxgV4CIZ/9Kl%20SyP937EujTNxUtfIqowpPBoaq6AOJbP7YA0qKvEXL17sllh1qCiL6iDDh0SZ2WnuRgISkHSY5wjY%202fE9wepBSyf2buzvWCgw32HRKKsfVwmdrif5pACSnPrAypUrG28z6DuNZfYYOjWgYpw6dcrFBX13%20165drhGmyZ+Bhi+eG8KPyU8aQmWYnzovWR+0Kqz9oC4X3zrjDo1l9nXr1qVrcYJ3JBn//fffd2Y+%20MmWdYIPHQkVJ9emnn6Z7R4OUX7t2bbo1Gr/7XB4wX1r3OZZYesjMrJtp087xM7vfba4I5jnJ8/x4%20sk2wLnYhvstxWZTZx4ClhdIA3/mqSyZKE7wrgcyet8WUOJHx8NLMgmOEkKx9QMa1AJbpON/P7NZ/%20FKbN7H4cw8xOCDP7qB+gKBZ/H2X2CZD5y44egETPUleAD49LQ17wB/r222/TrenIygh5GPUTjcMy%20eBHKPCdEmX1KLl686PxtJrn/UkIUSYM1a9a4H0NUR2OZfQitfqgmW7dufUgl4SfAm7EsXBtLL6eu%20o8xeE7j9PvXUU+nW9Jw4ccI5hYnyKLNXDI5i4WQDWBIweVYBVqP58+enW6IInc/s9gJYNmh1LOuV%20WAWTnN1o2scJrCr65FzXBI1ldlo22wI9mqZ77Of8FKxb6+QoE15eyMBUJotCa++0jVnT+tsPjcYy%20e8wDfVIa4FZAOHLkiJO+/ATW0okfOvZtHzJqFe+ESY3hLcrQZMtvH1BmLwgZDHXJeuzT8Zp9TCFD%20pqXUKAPDXBRRcdDdRTGU2SODH2fZsmXpVjb8bKIalNkjgfHlQwkuiV4ttWT2OsZGGQq4NOOkRmVY%20VEstmR1vQiFiQ5ldDAZldjEYlNnFYKgls1tHBSFiQpldDIZaMnuRTsNCNEXlmZ0pXmiqzWquFaJN%20asmRTN9y9erVdEuIOKgls08zUL8QdSFdQwwGZfaUacZTbwpNKTMdncrs9EKqC8ZbjJ3HH388XRNl%206FRmr2LwnFEwHkzsjMvsWL+qHOGgj3Qqs9fZ6bjrkp3MzijHYjTK7ClSY/pPpzI7fUDrIoZhtidB%20+4UoT6cyuxDToMwuBoMye81UMda4qIZoMrs5jtXtQMb9q3yGDexPpsY0ynjk/oD6eTN7lXFiVII6%20zbRdJZrMzviQZBwyB+uWKf1QBdzHn31iWslr8SLOZHQyGfckw7OvSGa3e/nTrPizXtjA/nZ81ED/%20TFzAiGfiYaLK7EDm8DM8S8uYVZCVoWLA4pUHP+6xvUfMRJPZhagbZXYxGAaR2U0fLhtEP+jdl8zK%20rF0PTz/9dOb+UUFko5TpAMrA1aBU7ADK7NXQ61T0bdQQbldJnfdWZq+GQWR2a00MM6Tfyug30Jht%2033Rgy2x+QxT3Yj/rLEdldjtm9ytD2evEw/Q6FckkllGs8cXfx9IysO0fFQzOJ/NyP/8YP46t8+P4%20x2zdnlUUu4+YDqXiBKbJpFWhzF4NSsUOoMxenKw0Uyp2AGX24iizdxRl9uIos3cUZfbiKLOLQaPM%20LgaDMrsQQvQMCXYhhOgZEuyi9/zwww+Fu78MOTz77LPJ0aNH09QTXUSCXfSeL774wgkskQ/SauPG%20jemW6CLK7aL3SLAXQ4K9+yi3i94zSbBnHbORGMdhndWqZFQ8ec6oYT2rRoK9+xQS7LNmzXIfvQth%20EufPn0/XRB+4e/du8s8//yQ7duxIbt++ne69R17B7ne8RLBbN3oCx9g26G2MoPV7NcOozpt23Lr3%2027V2f4JtG9aLGUywh+fUAfeXYO82hXJI3RmqKb755hv3Lk888UTy+++/p3tFVzGBfv369XTPw4wT%207DYchB1niXA2jZ11/5gfbJ8JYBParPsC3oRxKMgJ4K9TeFghwj4/fv62PasOuL8Ee7e5l5tywgfv%20OocOHbr/k1hA2xPd499//3UC6O+//073ZCMbezFIKwn2blOZYA81iFGjwNWpaRThnXfeSddE10BD%2037JlyyMml1FIsBdDgr37VCbYwaqfYcMT11ENBRPsdq7dk6UF37ZYFxLs3YOa1fbt25Nbt26le/Ih%20wV4M0mrDhg3plugilQp2CM9h2+yCFsBsl7bt2yFt3bdTVo0EezcwMxnf69q1a269DF1q+K8riH6Q%2051sW+tp9yhwS7N3ggw8+SK5evZpuCSEk2McgwR43fJ+//vor3RJdwHcHzQu1c0yvPjG0w+Xpx9AW%20rQp2s6n7+Ne3XUjUKdgxH9y5c2dkwIuDBsBRAW8PwhBBQ8/bKCqqAUcHhKkvYM1nHhBy9r+yzFoH%20E+zs850nzLQKLDnP3DpNiPv3MtNtWFCwz48L2D4f/562tHfhnv7+rHWwe/r7fPzzLe38ePBupIF/%20vX/NNOS5R6GnjLohL2Uf0s4JPwrYi4UldBt0SWMnvX755ZfkzJkzyWeffZYcPnw4eeONN1xYuXJl%208uKLLyYvv/xysmbNmmTnzp3J/v37XUY+d+5c8uOPP7pr8dePWWB++OGHyZ9//pluiSaxf9cEFNss%20yUPhf+xv8y9zrl1vx0ww+9h9Tcib8LWlf1/bF97Dtk2A+oI063qw/RZXHz/udm873+7tF0qGv815%20/vMMax+0Z/jXhPcrSp7rCz1h3A3tmC39hDb861nPSpCmGLopBkF/6tSp5ODBg+47EN566y2XLghZ%20Co+zZ8/W3oGLZ6mTmBD5GSeHjclneOS5YVcYumAvCi6GaF3UAhD677//frJ+/fpk9erVyYEDBwp7%20rGBy+fXXX9MtIUReJNjHIMFePbQtYO65efNmcuHCBaeNL168OFmxYkXy1VdfuXMoBEZ1/Rf1cPz4%208WTBggXplug6EuxjkGBvFyZyWLRoUfLSSy+5dRqVaTgW00GjOwPcvfDCC65wrRLMq9TasmjTrDo0%20JNjHUIVgxx3v559/fiRcvnzZDTRGQydj04Th3XffdV3iN2/e7H5AGlqs8XPt2rWuAfTtt992jaCc%20//nnn7uf9fvvv3f3x6/7xo0bvfUe+fTTT5Nly5Ylu3fvdsJJjaqjoTCkLYS8Y54fRbGGQmswBfKk%20NRxaYNsX7LYPTLD3SUbESp40lmDvCb/99lty+vRpVwjs2bPHFRzbtm1zXfApJLBpo3HRYPrTTz91%20TjumIKOg4514F95jqGBaoaEbxaEK+K8R5CwJCHr71/11sHWWCHOWFhD64fmievKkb2e+AFV1NNmq%20kCnmHti7cYlEUFIofPTRR054Ll++3NnIqSXEDHHft2+fa8Qtq7HGDmPdUFB//fXXGolUSLCPQ4K9%20GHSqwiSC98uxY8ecD/1zzz2XrFu3zmmQsUBNBG+b119/3Zm6ugh+zxSsLCcNSSyGhwT7GCTY6wPN%20Eg163rx5zl6OqyQCty1tkwZF89DBXBCT1ktciNPChQujKiBFvPRKsKO5YCKoijobTy3wo2IHDcOu%20XbuSTZs2uer1/PnzXQPq3LlznTAkMBsQ8cNX/MiRI85Egv2chkQaZtGa//jjj042npIur732mmvs%20O3nypGsIbkPQ0hhNr13s9k0OMkYhg/mI9+fZQhRFgn0MfdPYsZVjJ8ceSyMpphIKDhpPeVc0VgQJ%203jqXLl2KrvGUjk9bt251jYJ79+51cWwaGp0pVPFEKjrm+zgolLkv7yVEE0iwDxxrPKUDEbWJ9957%20z9mm8W6ggPjhhx/SM5sH7ZbxcayXa9MTkFM7QhhTwyAeeUGQM1EFjbka0Ey0gQS7yAXpT49SzBYU%20AmjWuMghcG0gpSagrYVBzSh4mu4UQxpgSqLBmNqQwb6lS5cm3377rYufEG3TGcGO6QBPh6qQYK8P%20BD/DCNBuwCBjmDXqHoYYYY8nCe0XdT8Ln3oKFkw2wDAJNBTTP0CIGJBgF41y4sQJ551C7QsNt85x%20Y2hXwCRCz8xpJu2g0KB2QI/hPFCroRGcPgF+T00hmkKCXUQBwpfGUxoZaeStQyDSIEv7AT1Xaawd%20BaYl8gcFw7Tk8WAQogi98oppW7AjaLiGxkU/oMXR6IhrYxjoyEPjIxocXf5FMXDpJA3pv4DArzoN%20sZnjJUSBgukIs1HVjZ0S7KJqJNjH0KbGjg0YoUKgNyc2aBomMUvgo04hgkZJ4UA8eW8Ez8yZM53d%20moHC8BShKz0eLUMCkwrvjD2dQcLKwMQejCzJqJKhWyPfAZdRhrkt4gkziroFe5X3Dwf5yovNFuRD%20G0QWbRZ09uwwDtTQzAGgC4OZ5YlbvLEPoBML3ghV0aZgbwKbIQlNF4+Np556yv1smCHo6EThQoip%20F2ZZKPQxm9DZK0swIax597KmFdKSDkX0CSjq9TLuJ7RBtAwbiMtgHZdT4s46SwQQ66EAsvPC8XI4%20bucA6/45/nG7J/eC8Dr2WxztXGCfxcuwe1jcDdY5P6swsGcAS7ZN4LJu9/KfxTrf3LaBddsO123p%2077dngp+upJN/Ls+3Y22S5/ntxrAAEuz1gsmIxj66tjNkLuYPvFtw5cMk0qUCgPjijkjtBq28jqn3%208IThR2f4hHHDCo/7CX0hEgoN2zZsP9eYwAH//qxnCfZQYJtQRSjyHNsOzwPbxzn2rFAo+/czQRw+%20K3y/8B7++2bdx66z8+wc3tcKczuHpe23+IN/HDjOeaMEu78Eu2/b+HEaxeQzIkGCvX34ERj7BdMQ%202isFAYIT4d8mNIqijVM7GaVRk38+/vhjdw5T+1Xtb44JDU8f8hV2eyPPT9gUvgALC46u4gv2oSDB%20PgYJ9uqhcRP7NEJ248aNtbn70RjNkAm0MUyjjeN3jrCjoMIrp0rIr9joYxLsoh/0SrADds6qkGBv%20DhqJaRhGk6VwpiG4yFgwXI9fOGO51DmbElo8wwiQz+hZW4X5SYJdVE3vBHuV1UcJ9jhAmKLZ03MT%20s45BxyLMPXX3Ip0Ez8f8xAicZTyQJNhF1Uiwj0GCPR7ooo/rItq82b6ZuYmJrhH6mHiq0J6rAq3+%20lVdecXHDtj4OCXZRNRLsY6hbsGM+MGISSjHADEcIcjxXJglGHzoQ0ZmIJS6MMUGcaDyls5ofNwl2%20UTUS7GOoU7D7gtwEPJoo/uO4x2Fv5hwaGtH6mGwa8MfGlkwHJDonAYIPEwANhm2bJcqCoEPo8a6M%20u1IV3IsGVAoIJu2ICb47rnMS7KJqeifY+YGrajzrsikGoUGPSes1aTM50SGJAoBCA4GHuYCGSsB7%20hCF2GYelih6Vk8Brhc5QmFmagoKR2gAClTFhwl6lTUDhS+Or5VMJdlE1vRTsVVXBZWPPB5196IzD%20uDg26QY9WemSb3PQIsQoLChcfBNULFBLovGTZZ1QiIajSEqwi6qRYB+DBHs7UDhQWACdS5h39Nln%20n3UNkk2BJo9ZD68b/OzR9MvCtcxfO2r4YQl2UTUS7GOQYBc+tHdgvsFUladBF4FOuwGmLyFio3OC%20XTZ20QS0SZgXjs2UBAj0OoYQFqJKOiXYGaq2qsmVJdhFUdDOaWsYN0mHEDEgwS6EED1Dgl0IIXqG%20BLsQQvSMTgn2vXv3uk44VSDBLoToK50S7HSUsa720yLBLoToKxLsQgjRMzoh2BkEi7G66UDCBAis%20T2trl2AXQvSVzmjsjEtCV1pC2dnmfSTYhRB9pVOmGMb2YEjbKpBgF0L0lU4J9iqRYBdC9BUJdiGE%206BkS7DXCJMhdxCbn6ALz589P1+JDQ/aKtpBgrxGGde0ijJHeFRYuXJiuxcfjjz+eruUHj68ZM2a4%20serDSTuEyMtgBTtTqO3atau28PHHHydLlizJPBZz2LNnTzJnzhw32XTW8ZgCaTxr1izXIznreJuB%20dERjZ5l1PCuQ5hs2bLjv/UWYOXOmE/aaEF0UQXXFGpHGXj9909gZEvibb76JcopB0R0k2GtEgr1+%20+ibYhagCCXYhhOgZgxXsvh0zplCWaa6tgrafn5euxFOIaVAu7wkS7PmQYBdDQLm8J3RZsL/55pvJ%20J598cn8dV78i2LV5aCqdisQpL/KMEXmRYM/g1VdffUgA1PGTVs04gWXHrly54lwZgX3+NeE2Atbf%20nkSRc30Q4jzLsHgQ1+++++7+PrDzWHLc9lct2MNz/PxgS3u+xXFUnvHTkXf1482SwL48nDx58v41%20t27dSvcK8SgPcqK4Dz8p8FPygxLsp7T9YD+onW8/ne1vknHPDI/526xb/MGO2TvmZdzzJ8GzrMAB%20Pz2zln7hBGznfX6e80ad4+/3C5OsgsXyjI+fh3hH1sNzJsG7Fv02Ynjk+xsGBD8NP7D/w9mPa8eA%20fayjsbH0hY0vKJvC4tUWbT8/L12JpxDToFzeEyTY8yHBLoaAcnlPiF2wczyGMG/evDRGQvQXCXYh%20hOgZEuxCVAQ1AiFiQDlRiIqQYBexoJzYUcxmPM4HmuPmZ90lsuLdBRc/CXYRC8qJHQXBN0744Y5p%20rpjAEpdMXDEJvj80SwoIrrF9dp25cdp1HPddO8OluYbCuPN4np1v7qF2LdcRdz+Odo7dw9xRWXId%20++15XGNpY+c3QZPPEmIcyokdJRTsrPtClXX/HBM6JijBBKCdwzUmHE2Q2jaE++yeJljDzjahoLPr%207Dz/erBtP06hYLdt/97c17/GtsF/37oJ31eItlBOFJViAnWISLCLWFBOFKIiJNhFLCgnClEREuyi%20CfLkM+VEISpCgl00gQS7EA0iwS6aQIK9B/ARFboRNA6NaALy2iQk2IUQomdIsAshRI+QUBdCiB4h%20oS6EED1CQl0IIXqEhLoQQvQICXXRezZv3vyIG6LC6LBq1ao05UQXkVAXvef5559P10QetmzZkq6J%20LiKhLnrPrFmz0jWRh02bNqVrootIqIveI6FeDAn1biOhLnqPhHoxJNS7jYS66D3jhLo1DvpzwrKd%20hzomC/FntzKYSSpvnKpAQr3bSKiL3jNJUw8FqU2tN4mqBa3NJZuFhLrIi4S66D15hboJTlv6c7Vy%20DkubVNv229LuwRIN3p/PleN2r3CSbdtvS7uPbYdztnLfuudllVDvNvdySk7IWF0IeYZCPXr0aLom%20+sLZs2eTL774It16QF6hbktf8FqwbfCFvcG1dn0IQt5MNeG1dn/b9u/BvrAQYDnqOVUhod5tHuTK%20HmE/wCiOHz+ezJgxI7l582a6R3SdM2fOJB999FG69TB5hboJ0FCQGrY9SqijRZtt3he844S6nWfH%20bTuMUxgX//5VI6HebR7OKT0h/AF87ty54zR5ztm3b1+6V3SZc+fOJQcOHEi3HiVvQymCknUTpMA2%20ghiTh51n57CPJdsEO9/WDdtn5yLAWfI8awQ1cw3rtrRg8bLCwc6pCwn1blNv7miJcZkejc5+FsLf%20f/+dHhFd5Pz588nbb7+dbmUzSVMXDyOh3m0GJ9Sfeuqph4T6+vXr0yOia1y+fDnZtWtXujUaCfVi%20SKh3m0qEuglII9w2svbVwajn3Lp1y1XVL1265H70CxcuJD/88EPy77//pmeIrsB3/Pjjj9Ot8Uio%20F0NCvdtUJmV9O+SoRhxrJKqbPIXHCy+8kK6JrvHbb78l77//fro1GQn1Ykiod5tahboJV1uaUPf9%20bK2xCOweHGefeQQURUK9v3z//ffJwYMH0618SKgXQ0K921Qm1AFhHApia7mHUUKd4xbMG8AvJIpi%20zxuHhHr3+PHHH5MPPvgg3crPzJkz0zWRh2n+PdE+lQp1hKlvYjHhaks75ptnWPev8TX0splLQr1/%200P7x+eefp1vFUH+EYvzxxx/pmugilQp1hLF1vgCENQKWgHbO0gQ16whwE/B2Hkzri5vnWgn17kCj%20aB4vl3FY/hpyEMOgl186TwaWUO8GeCcVtaGLR5FQHw4S6iJavvnmm4dMdaI8EurDQUJdRMlPP/2U%20fPjhh+mWmBYJ9eEgoS6iA4G+ffv2dEtUQd1Cvez9w+t8p4m26Lr3T61fmg9W1td8GiTUuwsCPW9P%20UZGfcf8Ex3wHBxh1ftH9ebHrmxTqo4S3hPoIwo+McDcBP03HojzkyWB1CvV//vnHjQY5KnB8VGDI%20gqEOW0BPUXV8qYdx/4R5phnmtWawTtsGwo51luahZn1O7Hw7j3/csGv8+9qSff592bZ7+3A/GyHT%20YD08D+w53I/4hNf4++0YS64DjkP4jobF1/Dfy7A0tTYh4s+2ny518WiKlIQI24vZum0DCUSwBKsT%20/7mjqFOo00lm7969bmjfMPCR33rrrWTnzp2PBEwODDC2YcOGZNmyZcnLL7+crFix4v5x/LSZBIJe%20lb/++usj2lWX4V327NmTbomqGfdPIIAIlp984Wn/qwk82z9qaeeFwsuEm51nx8P72jayws/fnM8+%20IK52P7BrjTBO4bNNSIfPtG175/B88ONlx23pE97D4tCI/EuXU+G/VPgyBonBvqwEqJo8z+iS+eXn%20n392AYGOYH/vvfeSLVu2uECGnDt3brJ69WqX+RgT5bPPPktOnz7thqXlumvXriV//vlntMMMUwj6%20P46onnH/hC/kwv83FEK2n2tM+wT//qyHQp19yABfGMM4oW5CHLifCVPi5MfLfzaE9wyFumHb3Jv3%20se3w3n7e9ONv59nzfPw0Jd6WHv571MXDb1kSP7HCBDX8jxQeq5o89++bTR3Tze3bt5O//vrLCfAb%20N244YUkmoms92v+SJUvc0MNWABw6dCj5/fff0zu0w/Xr15P9+/enW6Iuxv0TJoBYhv+o/c++dsp5%20dnzUMiwMEIa+oDN8ecFx254k1MHODZ8VyiATxPZ8g+Pc186zpd0v3G+E++15PuG7jrpXHVTyBF7A%20PoL/8X38j8Q5db5cnnsPuaEUQUqD5MmTJ53A37p1a7Jjxw432QS1AH6Cr776yhUKFBZ1cfHiRfdc%20UT9NCBMRB7380hLq08G488zj+s477zjTzjPPPJO8/vrrrk2AAgEzDsL+7t276RXFwSQkG3pzSKgP%20Bwl1kQvT7tHgEe7Uzqim0uhLz88iMOs/bouanKQ5JNSHg4S6mAqmlENAL1y4MHnttdeS3bt3OyHP%20fmz7IZjeph2cSxRHQn04SKiLysAsg+nm6tWrydGjR53P+dNPP+3s9DTI/vLLL+r63zCYydauXSuh%20PiAk1EXt4FpJgyx++Aj1Tz/91M0TK+qDmhKFKeYxTGdVCHXfnc9HBUZcSKiLxsEEg4D/3//+5zpV%20sW29acV00HhN2ma5703LqHtkufSJ9pBQLwld2tGCcAMMA14jmB/wgQ0D+zFPIMjwKx86pMPXX3/t%207Ozr1q1zLo742ItikGaYu+jJTN4MGfVP0Njt+3WTR81Pe5S/dri061nyPUdp9KIZsr90x7HMNo4q%20NHXr6RkGTAtHjhxxnXvCQI9Qfj56g77yyivOZXDevHmuQxABn3EKBYJdc+rUKefjj98498cdkE5G%20fdRsGf4AGzACHrfKLAElHoBpBSFK5zLGFRrFuH8iFN5+xxkLtm3wTNv2hbp/jmiHXn6BPBkrNvML%205geC9QolMFckgR8XQX7mzJnk2LFjbiiANWvWJPPnz0/++9//usKBH5GemQj+Pgh7Gl2ZWxRf9tmz%20Z0v7C8DMQt8B2ijIK5MY90+ME+o+th0uTajbNwqvE83Sy9TPk6n6ZFNH8ONDjkaPEMSmSk1g27Zt%20zkT07rvvJh999JEz/TDfZxfNG99++617H2zwFF5D1eAx3dHojJkKU0deRv0Tpl1TE2RpGrid769z%20LsftGgIFAEsKBru2SLxE9XRGqGMrPHHiRLo1PUNsKMULhY5DaPYzZsxwI0Bi5qEGgFZsPUVj1/Qp%20xDDPrFy50rlJDqGBlXekcGYUzzKYYBb9R0J9wOBTjg0boY79Gk0LIY/A3Lhxo9PsMf3ECvFn/Bpq%20JrRF5DFDdA3eEUFOBy++VVkk1IeDhLrIBGFy+PBhJ1DoLUo1m6F/md0fE8C4Rrk2oHMTJgB8s9He%20pxmXJgYwkeHPT6NxFUMmS6gPBwl1MREEJFowgoaRFdEaly9fnjz//POuoQ4hHwvEE7c8JhhhjJmu%20gZll8+bNrsaESawqJNSHg4S6mAoa2Gi4oxETQUQjJoI/Bg4cOOAEJG6hVWi7dUJNgwKShm1qGlUj%20oT4cOvOlaeDD7lsVEur1gDaPcJo5c6bzx0foo3222ZiJkKQvAG0GsZmNaJim5kPjdZ1IqA+Hznxp%20BDo2xqqYVqjjUod7HdppVsCFkDjjV+4HTAN0TsLtq8rqdYzQyMqIjRTINGQyiiMNm22B2ycunzQE%204wnUJtQc8DMnnzQxDo6E+nDozJfG9EJ1uiqq0NT5GcPepBYQGgcPHnTzhfoBUwCNjvzQdCAiHnSu%20QVOjRymCzwoGTBk22fSFCxfc89A6EZY0ZMZuUsiCb/jSSy857ZRGV96jDUhf0p+aRJNeMxTk5AHc%20MZt8dwn14SChHglUwxHSBH52AgIAcwb2VhojcT1E08fDA20T4Wg9Sikk0EK///771ucdzQNjrSNQ%20cZ0k/m00apLWFJQUpNS66sY6hLXxfWbNmuUEu0L3wyQk1HsAnXHQ4E+fPu20ezqpYM/G5IGwohBA%20M0bjpwbB+TFB4cW3Jb4MgcC3btr2TeMuApe0qtI0Q+GMLZ8eoE2YWYSQUB8QCCsEDFV/Jq+gRynC%20hhoAmrP1Jm3bxxs7/KJFi5wnCEKx6fhQAC5YsMCZh8o28JKWtCUsXry4l52iRLxIqA8YBCYNtoyr%20glkHYYaQxxzxxhtvuIberCnpmoIelNifqXXgNtkkmGaYj5XeqgynXES402ZCjYPB1YRoGgl1kQm2%20fBp6aby1HqUMG4D2iudP09onz12yZInrr9D0gFHMIrRs2TJXyxn1bAo/0ofzYh5aQfQfCXUxEetR%20SgMfwhW7vXnu0DjbpIBHeOJFhFkDj6AmoWaDN9LSpUudycqgdkMjKMMjC9E2nRHqsfmpi3tg/0ao%20WSMjAhfB3wQUKPQYpbNT037naO10aKKTFWkgRCx0RqgjKBAaVSGhXg+YZrB/0xBrPUrR9OvuUWpC%20Fg+TOp/FvSm4MAVhoqLmgMmFgg2PnbYbmYWQUBe1gTkCN0s0atwVCXWaTGjcpMcqAha3zqqFO/ck%20ZL0DjbqYpfC7b7PXrBAS6qIx8I+nJycjPCIA6Xlblz2ee2P7xq1wmlmSsKMzvAOjPnLPPND2g/aO%20V1Gb3kNimEioi8ZBg0bAo8XTM7bOHqUIVcaFx+8dU1ARyG/Y7MsMLYyfOh3CsnoEKihMEyYhoS5a%20hx6laO74xmOPxz+8DngGrpnYxNHAs6DmgCsn3izM5ypE15BQF9Hx9ddfJ3PnznVCGKpufMTWj0sk%20+clv3GQYBcwmMU36IURRJNRzcuTIEff8MOzatcs1jOFyGQY0ThrQ6LAir4ji8M3xaqGHKz1eqwbz%20CFo5wyUwbRydjIToOhLqOcF9DXe5MOAJgf88wiEMaJrYZHHtwwWO6d8IdNxZtWqVG1mRhkM8KrD7%20EvC3pns5hQEaJc+9ffu2s9EOGTr9oF2znKbh08DMQo2ARlvS3Bo36VQ0yjQjRBfolFBnPI2qaNP8%20YkPsIqxpyCPQtZyAVk9hgccFXeIR+nTVp1CYMWOGKxCw91Jg0Lg4zQzzXYRerdjE8UYp++64WOJ6%20GNagrHGTwpbOVHyj2KEmUxV5GuGyoJ3ChwnAs6gyrkWhkZxAjS8c6sHee86cOW4JbcZ1Wjoj1NHO%20GFypKrpqU0fwYyZAy0Sw07C4YcOG+8Ps0ruSDEmhQC2ir/ZhBC7vTp5gzJVJQ/VynMHBqDnhdTMJ%20ClbuTe3QHxKgKhAwoRBlu6iZqWnhkzX2TSjUR9GGoPQFNWQJdSM8F+ow+9VNZ4Q6HhJoqFXR94ZS%20BDo/EQIfDZ/3RfBjvsD0gFthX+z8CGAGHaOQyzJT0eaBZl+2gKPQeO6555wgrqpDE/dCGPoChnUT%20Imi7JvRZZq2DCUr2cU8f7u/v9+8JCLFwG9jHum1zHc8hfhzzrwF7jh8Xg3V7p6zjRhgX1m3bBLFt%20s7SChHX/Ws5lnWfZfs61Z4f3Alu39yW9COwn+Pdnae8TKw/eLHIk1KcDYURth5mRsN0zzC7jldNA%20SLqixXZ9QCpMdLwX78Q6bR30Lq3KB/7UqVPOHIYGP22nIhO0vkAxoe4LZxOowHETOHYOx2w9FDYm%20pGxpx808YoLRlnaeHyew4zzf1n3sfr7g85d2DXHlHrZu+OvE0a4D4uCnyahn2TnhfnsHewbnWRxG%20nWvpa98D7Jys94+NezHtABLq9UHDIN46dASaP3++0+5pOKQBEe0W239XQFOnlsIkFzRGM9l01b1W%20MYEhXGjg5scvo72bkEJIcA9fiPhCDvxthIsJHbBj3McEjxEKK1uGgtEElR0PrwP2Eb8soWb77Dpb%20WtzsPv57+PcJ72nXA+u+IB4l1C3tOE7a2P7w2WWFergdM/fepgNIqDcHQpwGSRoNaZSkcRbzBj8G%203yFW8DhCkNOAimkJOzrT1K1fv94J4KqhMMS0Q2/VouO9mFCGUDCBCS8Engki0t+Wdr2t234fu4cJ%20K84x/PuZULXzQiHnC8bwGTBKqNt1hn9tKMgtrrwr59k78262DqOEehh3f8mz7Nl2f7BleA+e6acv%2014CdFzvdiOX/I6HeLmijNswujY0ISWzYNhVeW6CZY06iN+o4wYrZifxDQzKCvmpoq6DNgjTRJBn3%20MKEJJoyrpklBW9c7VI2EuigNHig0IuLrjdmG9SYbYClQ8F0v6reO3R0XURpYq4baAS6o9E2oa7Cy%20MqCtmrYbasl14Qtc03yrpkmhXtc7VI2EuqgEBDxjpaCpIjQweRQ1SeSFZ+BHnsc1cRSYmHD7pOZB%2042fVnbtoi6DjmBBNI6EuaoPG1hdffNF52SDwsdOX1eIpNNCU0IKrnmkIv3+G6aVTUhW9VYVok84I%20dX5qvDKqQkK9ObC503iJjRWvFMwfRWCgLUw8jGdetUbtw3DAuHbi09709HhCVEVnhDow7nZVSKi3%20B5o2BTSNrZhARrlMIswx5WCrbxoKIOuspbFgRJfolFCvsvVZQj0O6CSE9o6N3NwlMbPgXlZHQ2ZR%208GRhoC/s7tQWhYgdCXURBQhPzB42kmVdE2WUBdMPNndqGNM00ApRNxLqolWwkeNDTgOoectg28b8%20wfeOcShc2gSw8TP8gEwzIjYk1EVroI3jZ063/izTBvswwdDZiSEMYhqAjMKIuNHpiaF6+zI4mug+%20Euo1oB98PCdOnHD+4QxBkBdcDXFpZUz9OobCnQaGUyBuDNOL62ZVIzkKUQYJ9Rqg48mTTz7pgk2R%20RocZbLF+rzSE/5AKABpFSXfMLdOAN8y8efOi7OFH3KyBt2p/eiHyIKFeM6a1IdzRMK2RDVsskzzQ%20Mcf24cLH4FlosQZ2Zrp3d3k8EQQd3i2MBFkVpCvmGyYGwfUwNts2BRcDjAnRNBLqEWJ+2yz37dvn%207MlMcA1U70kHzBAIeoQbHXvwzjDBj72XayfNBlQnxAFbOXFl0u46QaDzHBsKt+3aDzUIChsh2qBT%20Qp3JD6r6YWMW6uNAiCOs8elGcJpQx7TBJA7AmCMMQYugo1AA7Ne45NFjMisNqxSE1Ejodo93SJMF%20C2mCvZ5hgusad2YSjADZRmcpIQwJ9YFAV33mNf32229dGqLVY+rB75qhawFtn6Fpsf8jICkwqBkw%200QRuhpPgXMxJFB5tQyFG4yXjzzRluqIwI/2EaBMJdTEShDqCCtu/jY2NBsxwp3QUQogDDYOcZz1C%20YwIzFOYrCq86e4TinUMtSIi2kVAXpUDzNyGJ7ZxGSxp6KQgw/2BTZtwWM4NgkmCbtgGEv9UWqvqe%20k8AjiRoI45wTzyrB5MO9hYgBCXVRO/bNEOJo9bQFUCAwgTOuiXVMNTcOGm7pEUqBM+2sTbwPJh4h%20YkFCXQwSChY6DdEGQKNymVmKaKOQhi5iQ0JdDB4agenuz0iMeQfrwuQkgS5iREJdCA+EOiahcXZ3%20GoWt34AQsSGhLkQGCG5s/Wjw/hR3aOjm+y9EjHRKqDMaHrbQKpBQF3kgvzGJNp47aPHY4IWImU4J%20ddzRJNRFG+AlwwBdK1asqCwPClEHEupCCNEjJNSFEKJHSKgLIUSPkFAXQogeIaEuhBA9QkJdCCF6%20hIS6EEL0iE4JdXr3SagLIcRoOiXUmby4qokOJNSFEH1EQl0IIXqEhLoQQvQICXUhhOgRnRLqjJTH%20HJhVIKEuhOgjnRDqTFp87NixZOXKlcnhw4fdRL/TCncJdSFEH+mEUGeasccee+x+2Lx589STZUio%20CyH6SCeE+tWrV5OnnnrqvlC/du1aeqQ8EupCiD7SGZs6HY8Q6B9++GG6Zzok1IUQfaQzQh1zy3PP%20PedmoKkCCXUhRB/pjFAHzDCaeFoIIUbTKaFeJRLqQog+IqEuhBA9QkJdCCF6hIR6jVRl/2+S7777%20Ll3rBj/88EO6Fhe3bt1Kbty4kW4J0RwS6jWxffv2dK1bvPrqq+laN9iyZUu6FheXLl1Kzpw5k24J%200RwS6jUxb968dK1brF69Ol3rBvRfiJGyQr2qSWDEcJFQr4n58+ena91CQr0aygr1JUuWJFu3bnXX%20C1EGCfWaWLBgQbrWLdasWZOudQMEYIxcvnw5OXfuXLqVn2XLlt0fDoPaXhVDYohhMVihzsiPu3bt%20qiV8/PHHrvfr3r17M4/HHF588cXkk08+yTwWWyCdFy9enHms7bBjxw5n7886Nirs3r07mT179n2h%20Tli3bl1y+/btNNcKMZnBCvW6kfmlGfpmflm6dKkbvI5hpvGgEaIoEuo1IaHeDH0T6l9++aUbDkOI%20skio14SEejP0TagLMS0S6jUhod4MEupCPIyEek0sXLgwXesWzCrVJd599910LS6uX7+e/Pjjj+mW%20EM0hoS6EED1CQl3UDq55QohmGOTfNmvWrId8gWMJXR1aYBK8W0zEFp88dDHOoh0GmVNi/UH6+uNK%20qE+PhLrIyyBzioR6s0ioT4+EusjLIHOKhHqz1P1eRe/fxXTua94Q1TPInBLrD9LXH3fSe/nHy6RB%200WvqTuc67u/fs4uTr4jmqDd3R8qon45Zfzj25ptvpnvunVvHT5pFHc/hnWw2o6beI2Tcc+fMmZOu%203ePKlSvp2qNpH24zoQfXj7t/FuPO99ML/PjkJW98/Hw2Ce7JEAIvv/xycvbs2XSvEI9S7G/oCZN+%20OoSF/dj+D143RYVTHnwhZfdHOJiQMNi2WY8QlBxjtMYqGPde/jGLlwWDePkzMnEsjHsRxp3vp5cJ%20Xc7n+SytEGLdvw/rll7h/qz7+O+aBzv3iSeeSGbOnJnuFeJRiv0NPSHPj2TnhD84S/Zx3H5w+5nZ%20z89q1xQlT7yKQlwsPnZ/i68vxIG4E2y7Ksa9V3jM4uTvJz7+Nuu+ljvu/iGYLsadb9+W4KeD/0yL%20I+eiyYfpaPe37fCdst5xEpxr58fai1bEQf5c1SPy/kycFwpE4GdF+FnVnJ+UH95+PPtpi5I3XkXw%20hToQZ+IO9g5+fBH4vjCrgknv5R+3uFjhaYKTpQlV4ujHm+vtW+RhXHz89AoLDntemD7h97b7h+fZ%20fj/eeeFcprorco0YJoPMIUV/Jn8J/OyhUDftF3xhUIQ6flhfSBnhO9nS4t20UG+acfEJ04vvaunC%20frZtCeQBSy/LD3b/UcLeF+rhtxlFbGko4mWQOWXcD8Ix/7hpteAfs3V+6HBfWaa5NmZie68upnNf%2084aonkHmlFh/EAn1ZpBQF31mkDlFQr1ZJNSnR0Jd5GWQOUVCvVkk1KdHQl3kZZA5RUK9WWIaFRNs%202SW6GGfRDoPMKbH+INPEi2vbDF2ia/GFLsZZtMMgc0qsP4h+3GaQUBd9RkI9IsJ4xTqZh0Lzoa8T%20qIjqUfEfMfzMQghRBEmNiJFQF0IURVIjYiTUhRBFkdSIGAl1IURRJDUiZpRQt/Fmxgl9BoqqolAo%20OzhZWaqKtxBDRX9PxIwTbnkEXxeFOoTxrnrUSCH6jIR6xBQV6ib87BhLf2hYthHSDBtr54Rje9u5%20Jsxt6d+TgEbtB86zcwwbppaRLlkSF/9ce5bFISv+YMe5Lusc7smS5/j3tGcLMSQe/gtFVJjgyiLr%202CihCAhYOw7huT7s8wUphNvAPW1ccfAFqL8f/OewjoC389n2r7VzfQFtsM+/liXbdo3Fj23/fYUY%20Co/+0SIaTFBl4R8zARoKalsi9Ai+kAvPNexeeYU6cI/wPiZsgfP8Z3OuL5jZRqsm2DbYNaFQB9vn%20xwEsfnZv/7lCDIGH/0QRFaGgNBBUHLNggsvfD6bB+sLThGG4btfYur9ty/C5BDN9EHzhC7bf8Ldt%20HSHM0uJqwc7hnvYM1u0Y78S6mVhYt6W/LsTQUK6PmC4IJV8TNk1bCNEeEuoR0xVN07RjIUT76E+M%20GAlKIURRJDUiRkJdCFEUSY2IkVAXQhRFUiNiJNSFEEWR1IgYCXUhRFEkNSJGQl0IURRJjYiRUBdC%20FEVSI2Ik1IUQRZHUiBhNPN2tIEQMKCcKIUSPkFAXQogeIaEuhBA9QkJdCCGEEEKISJGyLoQQQggh%20RKRIWRdCCCGEECJSpKwLIYQQQggRKVLWhRCiw9y9ezddE6J+lN+EaB4p60II0XGOHz+ezJgxQ4OH%20ilogX61YsSLZuHFjukcI0SSS7EII0XG++OKL+zMyCFE15KtNmzZJWReiJSTZhRCi40hZF3UiZV2I%20dpFkF0KIjiNlXdSJlHUh2kWSXQghOk4Tyvqrr77qQp008Yw6+fLLL903uHLlSrqnH0hZF6JdpKwL%20IUTHmVZZ57pPPvkk3cqmakX6zTffdMptzJAmk9LFR8q6EKIOpKwLIUTHqUtZZz8BxTpLWWfbzvGv%20Z519MGfOHLfOEkyh9YMpt6yH8fCfQTxG8d1337lzWHKeXcO9CbYdvoNdZyFrH4F94MeH4CvmWcq6%20vT/HxsU/Zoi/lHUh2kPKuhBCRIQ/jjVK+FdffZX8/vvv6Z5sqlbWTTn3Ydv2obiGx1FKbZ8p66HS%20as8w5Tm0rPvxMMXXx79HiCnY/j15D6skQPhc4mtKONgzbZ8fHwjThXV/26639+Z8/3r/3C7BO0lZ%20F6I9alPW+blFtUybpnfu3El27tyZLFq0KLl69aomtxAiQv7555/k/PnzyVtvvZXs378/+eWXX9Ij%20o6laWc9Sin3FlGPjFE+Oh3HhnmZZzqOss/QV7UmYsu4r35OU9fD8ED8+YNfbPf00gVBZN9hnoYsQ%20bynrQrRHbZKjq0IpZqZN0/Xr1yePP/64uw+Fzc8//5weEULEwLlz55K33347effdd13lOi9VK+um%20dNo+U1JNdgBLX1HlHFPGuS6MC+fbcbD7oyz7yrMfD66x5wHP8I/7lFHW7T3Da0zZtjjbczk3fIdx%20yjrn+se5nz27S/BOUtaFaA8p6x2ibJrShI6ibjMcWliyZEny9ddfp2cJIdrg33//TS5evOgUu337%209t1X9IowrbIuxDjIV1LWhWgPKesdokya/vTTT8m2bdvuW9TDsHz58uTEiRPp2UKIpsAN7cKFC86K%20vmPHDqe0l0XKuqgT8pWUdSHao9fKujVh9oWiaXrr1q3k8OHDyZo1a5J169Y5QTt37tzk6aefdttY%2021evXp288847zod9GmVBCJEfKtH8jwcPHnT/3rRIWRd1ImVdiHaJTlnnulEKNr5+vv/fJIaurGfx%203nvvPeTDKYRoDtxd+Adp7aIjaVVIWRd1ImVdiHaJTlm3DkBZPfRDRd3OtRAe95V1jnGOKar+tX6H%20JeukZMGHe7GPJRWHrDjWSRifMmBFf+GFF9ItIUQTXL582bViff7558nNmzfTvdUhZV3UCflKyroQ%207RGdsg5hj3pA2Q47XnGO9aw35dvvaR9a1lkPrcpcY8o6z/AVcIsH+1j3KwNcI2VdCDGOM2fOJB98%208EGya9euiWOlTwPK+vPPP1+JjBAihHy1ZcsWKetCtESUyjrYMFko4SjZWYqxncOyCmWd9UkKuFno%2085xbNTxzWqSsC1E/+KGvXbvWjZN+/fr1dG99MHHSf//730pkhBAh5Kv//Oc/bux/IUTzRKusA8o1%209zFl2se3evvb45R1vwIAdn97RnhP4BzOt2MG+/17N4H//LJIWReiPhgK1SYzakJJB39ysypkhOg2%205g6loKAQR5g3b176d5YnamVdPEwVaSplXYhqYRSlS5cuJdu3b0/27t2ba8ZRIepCZa8QcVHFPyll%20vUNIWRciLmiFY5z0999/v1afdCHyorJXiLiQsj4wpKwL0T5Y0n/88Ufn7oL7HCO9CBELKnuFiAsp%206wNDyroQ7fLDDz8kH330kRsn/Y8//kj3ChEPKnuFiAsp6wNDyroQzUMHzp9//jnZsWNH8vHHHye/%20/vprekSI+ChaTjAQA9cQ/OGJs7BBGizkochADHbfrEElmsKPr6VN04NJNAGDZuQd0c5GwZuUP0Q2%20ef+VcdSmUVcRuVFwbxvRhczjD8foCx6CHbPRXML9XYJ4T4uUdSHyg7sLCvrWrVsbG91FiGkoU06g%20tJlCNkoxRYHmGOf4o66Nw84vAue3paxnxRddoW/KetbId5Mgf0hZL0fRfyCL6e8wgioil4XV7MdB%20BgwzIpmziwq6TxVp2lVlnXGrP/vss2TNmjXJqlWr3GyQecOGDRvcFO/79u1L9uzZkyuQz3geQ/Hh%20+kA4f/68/JMHAD7pv/32W7J582bn8vLnn3+mR4SInzLlBGUlCqnNVxIqp5Sf/nFfWadctW0re207%20LK/D6+24Gd+AbVPWuZ8piOG9Q+zefrmfpS/Yu7HkmK8XZJ3PcYLFI+scg7hxzO5rcWHb3gnY9t/D%20zs/CjydLsLQgTnZfzvPvwba9K3C+bdv1flpxbXjcj2OorFtcwL93FlznH2eba/hm7Ged59v7+M8x%207P3tPAi/haW/Ydt+2reBH6eyTH+HEZSJHB/N/0j2Ef0MFX6cLCyj2bn+9V2mTJqGdNmyjhLFiBtY%20OIsEBAKK9unTp5Nvv/02V2DmSRT1I0eOuDGzCQcOHHBWVvIlllY/sI+h+yzgMkEHRD+Q9mGgEsEM%20lwTWqSgcPnzYPZd4kHepKFBZ4d3v3LmTpoaoA/NJ53toCEbRRcqUE8gZZBiY0mvbKDzhMVPirIwN%20gymN48pr7mnn+2U0275yZefYPcfBdf55PAOdwlfueAeD4/75WfHluL0/mH4xSq8wBdF/jh8Hf92H%20a/z39gnjCeH5ftwtjlmBeI17B4s/wb9/GG/W/XuOIitNwb9f1vtlMe5bhHnTyPoeTZP1/kWZ/g4j%20KBq5UQma52cKyfqAtt1lJr13HlAQ5QYTL3RavHDhQvL9998nBw8edJUDlPh169a5FoUFCxa4mSqf%20eOKJ5H//+1+yZMkSt3/Tpk3uPP6Po0ePusoG97hx40by999/J7dv33aKPoHtf/75xwUqQP6kOkOE%20979165abSp1KFWklRFcpU05QNvpKkJWblL2+ghYqRFZuh9i9wvI6PN8vqw22TUlkvz0L8ih1HOd6%20i4PFmX12XyOPfsFxP22y4uyTpcuEiml43OI46p5Z7835/vv4cR91P87hWPgOWeeH9/ffAfw0yXpn%20w4753xHsO0HW+2Ux6Vuw7scReEaee9cJ8ZqW6e8wgqKRs0T3MweQ8P7H4fike4cf0OCDsT/MNF2h%20aJpmIWW9P6BkoljipoHVnY6PdIS8ePFicu7cOaewnzx5Mjl27JhT4HEDooUAyzFKKS0AKPko+ytW%20rHBLRjnhH+N8WiK4X5+t+VSMtmzZknz66aeZBY0QXaNoOWHlogUrN/kffMWHdf88guHfI1SMbL+V%20u7ZNoGy3deYrCI8RF67z7z8JK//9/9kURp/wfQzbtmsscH64z97JMP3EAnEZlTb+eb6OExLG0xRr%20C1zrpyPB3n3UfrD72rP957Bu8fbXCfYO4XNDfSvEv7+fDv5+wij8c7hm1LcI90+KVxMQj2mZ/g4j%20KBu5MHP5+PsJfLAQP1MRLFOEGdyCn3ljh/hOi5R1MQ58tVHyccPBJYf/ceXKlcnChQuTRYsWOYUe%20X27cfD788EPn13/8+HHnsoOrETN5UmnAbQerfoxWaio5xNEmM+qSDBBiElWUE0KI6qjin6ztr5bA%20qB4p66JtcJ3B0o4SjuvIzZs3nVKOZZ/Ot1999ZWzUttY5Cj6zz33nKs009kXBZmKAL7hf/31V3rX%205qClwFoPiK8QfUNlrxBxIWV9YEhZF12Gzr64nWCJxyWHvPjGG2846z2W+rffftsp83Tu5PgXX3zh%20rPwo2GVGZPF98RmCESs6QR1HRZ9R2StEXEhZHxhS1sVQwFp/9uxZNwIPyvzSpUtdh1ryLsN3ko8/%20//xzp/z7nWbDDrMo5ubugouOEH2EPE9LFf1VVPYKERdS1geGlHUxdFDGcb3B5xxXGnzl6UBLx1lG%20w6GzKMo8o+dgtcevnk62QvQNRo6iwrp27VqX72mNoiWqq2UvrnJUzIXoG1LWB4aUdSHygVL/008/%20JYcOHXIKAJ1jly1b5pSaXbt2ORcbRszBxYbOsPjf+xZ5IWKCliPyKXmW4Vzp6I2STj4OiaXsRfku%200nlbyrroK1LWB4aUdSHKgwKPywyKOVZJOpgy8RXK+/r165PZs2cnL774orPIM8oNbjO41gjRBuQ9%20OmwvX77cVTR37959v//GuHxZppxgZDWCP2qaKc4sbV84DJ5/LOt8wqgR2cLR3EJl3YbgM6U/HNZZ%20iK5APp4WKesdooo0jUFZp6MhgpiZPxmZAwGdN2TNDJon8N64SeC/TGCdjoyMWoKrBIHCEHcKxhjH%20YsWSeH7zzTdugiGGJrQlVi4UPgu4Zojug3UdhQglCeWA/EY+3blzp8s3DGd54sQJdw7WTiGqAoUU%20uYMsQtYht5jNuKhsKVNOoDibUg2mWNvY1UCcfMXbPx/8e5iizXmGf7+s+3MtzwA7blBJkLIuuoqf%20l8tSm0ZdReTEw1SRprKsjwbLK0MQopBTOKCU4wOKXyhNzyj2KPRmiWVYQgtMKjRr1iz3jZhd9D//%20+Y8bm5z9r7zyilP2qCDgV4oPNRUAs5Kh9PkBq5kF4mRBtA/f69SpU/cVF74xyjzDUVIJ9b+ZEONg%20+FP6XVAhpAM1M+gid8ZZzfNQppwwy7oxSVlnf6is+2Qp6zZhEMtJyrph19h1QnQR8u+0SFnvEFWk%20qZT15jCXCxQ8OkQyMgl+1BTIjHSCCwbDGGLBp0KAVZ8CiUoByj0BH+sNGza4QKWAQt1mGsXyhqUX%20axzKP/eXtbdZSG9aWRiVBos7lTG+GzPDvvbaa84az3dWy4tgtBb+dfIG/zP/OhU/FNdpFXSfMuVE%20UWUdfEu6YfdAxnG9WcSRbbYNpsyPUtbt+f754yoHQsQMeXlaatOozcqoUF2YN29emrrlkbLeD65d%20u+aUc0ZDMcs/vtZY8skn8+fPf2S2UTpbYtWnosAQb1j2KRS5F648WPpkEa4Wxnffu3evU9xfeukl%20p6ih0FvLCkq80rx/oHzzX9FKx/emJQ5FFreWumf1pawQQsRDFf+k/uqKwZpK4Yx1DUtbbEhZHw4o%20DORHLHrWqRI3H5QIOk+SPxnHHEUeVw4U/QULFiTPPvusG9Oc0SawdOH2g2UL5VKUB394a2357bff%20XKsKLSe40tCBkMoU30h0Fyph/DdLlixxfWJwc6FC1mSLl5R1IeJCynqESFkXfQH3Dtx2sMTjamPW%20e5t11O+4i+sOTd0o9ZyP1R+lVOQDVylaPXCbMRcnlD3cJrDOI1dEXNBHgTH+qcxu377dfTcqXPw3%20bSJlXYi4kLIeIVLWxVDBgkiHXKz1KPRYF5955hmX3/C3xx3n4MGDTpnHwo/7B9Z/Ausa5/xR8IVH%20luBCQxoypCRWeZD7THOQN8mnVJyQoeRtJt8iv8dWkZKyLkRcSFmPECnrQjwMig6WY/zjcQtAwcGK%20jK89nc+wzOOGg183fr3kUXx7UYzUYfYBpCHpR+sFrkv0R8DlggoQVl5RLSjnuCphMcfnnJGgGNKT%20zuIx50sp60LEhZT1CEFZZ4QOKetClAPfeNw/sMTjR48VE2UJFxEsyyj7KPJYmLHmD9lFBCUd1wvS%20h5GCSCMUStLwxo0baq3ICelEetHxmjz2+uuvu8mIaCVif5eQsi5EXEhZjxSsMficZk0F3TZS1kXX%20QJFCIccHHuWcDrIM6WbuNnTOZPZRlKv333/fKatD7KiJWwxpRPowJCCVHUYFwvqONZ6OxuJhmL6f%20PEQnX2Q2212vAEpZFyIupKxHCiMCUFDSzB8bMSjrKBNUZCgkbRbTIoHOjaQvrRcUsHkC743VEZcL%20CzaDKR3ECKzTiZIJbogfCg6ByhfKIVY3JkrCjxh3BLPsohgS1KGyXXATYag8XGj43uQtAvkEJZ4W%20L77l5cuXB+VeY/8b6cC/Q9rgfkTLn/m/DwH6SVCR4x8nLZA/VPj6NsqRlHUh4kLKeoSgBFAIolRS%20EMSGLOvjwTqJIo5ybgG3C8ZKxk/YFHuUfSY2wZprs5jSCfD55593P+aTTz7phkG0GUzffvttdw0K%20IyNIUKFD+ceNgWeSb6yzpXW49APWZbk0TAeWZcalR2F98cUXndUZv28qZ/jTY0219O47pAV5kFkz%20kQdY3+lHYGPtdz2vWfzxL0c5x3JOh1CU9b5X1KSsCxEXUtYjRMq6MMx1w2YwxaKLr7VVAHBVwNKL%20skgrDBUClHk6smH5I5CP8J9FqaIDJpUClH8qCrQYkMdQsmi+1wymxaBShNWZ1hLSkKEn+T9Q4JlQ%20inVaVvh2fQerM3mIfEiLE/mNfIf/Nse6AHmff4r/gvhTueb7MaeA/gshRJeRsl4xUtZFE1ARQIlk%20KnvyGYoJE+zgv80MplgSUTjZh9LPcRQxzkcpo/WAyoM/g6lZlsU9SB86b5KGWOGpLJGOKPaMP0+6%20ddm3eRJY2ZFlWN2pIOJ6hvJLhRMFnspOm+CCRlxwe+IbMZIQVvQhufYIIYaBlPWKkbIuYoG8iMJl%201n1GtcDthklbUHKw6jPsH5Z8XENw2UHJnzlzpuuwyQgjuO6gsNIagHI0ZEhP0pL0Iz1wh7LRaviv%20sND3tbLDe+E6QwWFcfLp/8HoMwSU5ab6a2AlJ62pPNEf4fTp0y5v1z2FvxBCtImU9YqRsi76AhbK%20LBcRrJgo91jsUdqwNmPRJL9TAcByj1UaJWoIYGEmnXBjIl1QIkkX0oS067OlFyWdb24dNskjVP7o%20l0GrzTRQOcSvns6w3Jd05d6ktY/6cggh+o6U9YqRsi6GCq40+OKj2JP/sboyg+msWbNc51sUfRRY%20OvmhyPGvYLHtQ4fGLFDisfzSv4A0oKWCd0cJ5X37qmTyPbG+b9q0ycka3IcYjcYmbspqfbC0wHL/%206aefug7A9M/Aai+ruRBi6EhZrxgp60I8irlQ4OuNIofFGfcalHdGykGRR6lbt26dcy/hOD75WYpd%20Vwk7caLMosBjjSct+jo2PO5XDKnJRFe0wmAhxwpPpc72IS9JE7bpT4EcFUIIcQ8p6xVDIUMnPgok%20msVjQ8q6iBmUcxQ7FDkU+JdfftkF85/H0oq/OL7L+I7jatNlxY73xU2GjpsMLYg1efv27W6b8b9R%204NvuyFkVVNgYsQj5SAWFDqF8WzpFI5dwnUFRxwLfl3cWQogqkLJeMRQyFDgMe4ZyERtS1kXXQKG1%20YTCx0qKkY6Gm5QoLLWPdk6dZYp3F1QTFsIvwrsSdd8SlCF9wFFqUeCzyTXXkrAoqIljOFy1a5NyB%20aHWkhQHXFt8NiHdmPxU1/NLp6Mw7M5TpEIbOFEKIcUhZrxgp60K0A1Z2rO4otQwziCKPlZrOnsxO%20i1UeJb+LHT7xc6cjJ+9Fqx2uQ+b/j2IfAyjcpC8tisgZXFuYOZZ9ZaBigs8/yj7fkvHTcZHCVYZW%20hz65SAkhxDikrFeMlHUh4oQRahiqEgsvw1Ni7UX5xf3Cxg3vUsdPlFWUdfz8GVt/9erVTqE33/c6%2038PujUJN5YjhK+lQTGtHndZ/vhHDjvLdeGes70zcJNcZIUSfkbJeMVLWhegGNrEUll98xPfu3ev+%20D4amZEIpXFDMitsFcBHiXWhBwB2I96BiggI97TCKBrLNOgSzpGMsQym25XakqfWFELFThZySpKsY%20KetC9AMU3CNHjji3E3yosWCj0DOaDcdwu4ndFcOs79ZZl46dDKOIdRrlfpw1GgWcDqFY63FDYRZT%20XFHYFwtS1oUQsSNlPUKkrAvRT7DEo6BjacfijhK/ePFiN5oJo9eg/MaMdV618fDx5bfOq8QfX37e%20j0mI2Gfjo7OfDqExVkykrAshYkfKeoQMXVmnYMeHlPfHGpcn0BGNjoC4HWC5yxs4nzSmyZ9OaLak%204x0KByNJEFjHNYCxu7ESWmB2RL4V4eLFi26JXzOd+QgoNV0bfUM0DwruqVOn7s/iiT81+RD/eJTi%20mJV4rOT8LwwbSaUDv3cb657OnTFZ0bOQsi6EiB0p6xEiy3qc4JuM4sRoIQR8e7EaolQxUgjKCetU%20GrAqrlixwjX7Y3l86qmn3M/29NNPJ3PmzHHHUGxQzLiW66gMoLBxXyb+wQqLJZL8wDIrWGfGrnRo%20FMWgske+YDzx559/3vmPU0mkMys0/d15HhZy8j1xmj9/vsv3Fh8f8i0VWCogc+fOdefH2JFTyroQ%20InakrEcIShj+oMxOSDNzbMgNZjpQVLCkYnGnFQHFnAl6GB+aygAKOxZ8Rsig8x1Tp2O5JKDYU4Gz%20VgE6AJJPUOJQhrBo4lOMAoWvNPdBYUKZaqsDn6gOFF3yCHmC/5DvTl5gNJrQ+l6VIk/+JM+Rz8hz%20WPupUNJyVATOv3Dhwv0ZR/GBJ/8yTCP5vy2KFoJUtrmGwD83Dlrk7Ny8z+H/zYvdl+f0nXHpYt+k%20SNpNwv92fWdcutFx3tKhSCfzvN8EwxfPEOOpIh9KWa8YClmUubVr17oCLTakrMcNijmja2D9RLFi%20xA3yEtb82bNnJwsWLHCWf/ah6KHYM9oH51NhoKKITzWCmen9UQKpWGj69jhBgcdiTUWNSZ34P5nh%20k++HgkzlPy9YzalAUmEkb9D6Q0sReaIOyFPffvutc2Mj7hs3bnQVVCoI5GNal+qmTCGIgoGiPk4Z%20QdnjGOfkVUbs/CJwft+VddIa5W8cHJ+kGBbFFPY+kydtTWEvoqzDpG/Cf1Tk/xgyVeRDKesVg7JO%20IUvhi+UpNqSsdxvyF9Z9m9GTvIZCjtKHMEZRx3KKBRR/fayqVBoZA3vWrFluVBMUffIBSiICt6iV%20VdQD35Vvyne0KfkZC57vRWUsy/2Eb491m6Em8TvH7YY8QEtMEUV/WszFhnxIaxCVSCqVuJHRolTX%20xE1lCkHyPGlLOnN9qJCgfPjHfWUEBca2Q2UlVA7D6+04+w22TVm3SoSt+9eGhM8iXn5LAeu2bfGw%20AFnHLR68O9umBNqzbB/nZ72bXW/n23tyP7vXKDjuv4Pdw7Dn2zNg0jvaPUbFOQv/OEu2+RbA/fz3%20sPtznp1L4By7hm0/nnYecfGvsX1gaQGWD+x+9m2MMG0tTv45/nMM1u26rGuA49wfLB4Ei0tWevKe%20fnyA8/1zhkiYtmWY/g7iIaSsi5hBgcPijvWeqd9R9LDC0scCVwn88LHGkk9wd8B9B7cNlEU6HOIK%20geLVhNVU3AMrNa4yfBuUcizY69evdxUwvhmKfUx+5D5Y33H9IT8hD601iMLb+nZMQ5lCEOXBlBBT%20OGybeIXHTNHwlRo/hEpPFtzTzjdlB9jmOsPOCRWecWRdE96X9ax7+kqYvTew7p+f9W4ct2tG3QfC%20e2Xh3wvsfpPSatw7TopzCPtNqQ7Jig/4zyCfsG5KN/iKOoT3ybomSwkG7sN+//ystA3fO88z8qRV%20GPdx8fTfeVR6D4kwbcsw/R3EQ0hZF30Day+KFZ0jUd7xtWb2yGeeecZ1PiSvo4ChNFIRQEHjP7BO%20tKIcpB/KLG4tKOUUnkzfj6sLaUyfBqzpfAus71S+TPmNPd2xvtOn56WXXnKznzJ+Pe8FReJephBE%202fAVCFM6SF9fyQiVEVN6Quxeo5QkI1R2gG2uA/b7ik+WImYQT/8dss7l3hayjvnP4vi4+01S5jju%20K4P+say4hYTPn5RWBvsshM+YFOeQrPPB3o1j4bVsW56x7+2nQ6i4hu+VdY2dwz6e7b9XeH5W2obv%20Me4ZRp60CuPO/dj285Fh1/rvPmTCtC3D9HcQDyFlXQwJLLpYflHmsaBigceHHuWdvMZY5CiSKPhs%200/EWYS/Xm2wYOpSCE+s5VmjGP2eIUdxLxuF3XkUJtg6guEPFPHQk4LLDCFrkHfINhTz5hXVacsZR%20tBBEieAaC77i4SsWrPvnEQz/HqGiZPtNgbFtAu9l63yj8Bhx4Tr//qMwBcy/3tbtXfzjFux9/fN5%20np3vr1vwzyWYkmaB88mz3NvfZ/jn2/N97JhdF74b/4C/TXwgjKcFnpEnzllMOs+UWgucn7WfOIT5%20JHwvtm2ff729H4Tx8d+La8O0zXpv8L8Nwf8OedIqK+7+tVnpyX7/OUOGtJgWKesVI2VdiGwYPhN3%20DsbDR7jTWRZXDlxwcLlBsUS4o7CifGLRb9LvummwgpuSTd8C/NNxdaHPQRWgBJOmpDXpjPJP6wc+%207cioWF1nDBR14kw/CyovdLjGfYs0I+2QtVUUgn0DRQrlL4tR+7tGX97RlGBTqvsC7+NXOoaOlPUI%20kbIuRH5QGFEq+WdQwpiEB0syvvQoaChqKLGMOILl1Vwlugpjr9OxF99zAgoorRKMIFVnxYR7U/mh%20v4E/WgxzCRCf2K3vdF4l7VDgyRvIV9alrGfjW2otmDW0L3T9HcP4d90KbRWPrn2HJiBNpkWSrmKk%20rAtRLSiajOWNlRj3AVwksEAzbjgWeZrJ8de2MeljglYCKhm0JuASRJxpXUA5jwFkFWlHvPCLRz4w%20itBXX33VCWtfFYWgEELUiZT1CJGyLkSz0NmSMebp/Iq1miEqcbFBOUYxxprclMsH7hlYyHg2/xkj%206+CP3SVs/HT83klL+hzQuRi5FhtS1oUQsSNlPWJQGlavXp1uxYOUdTEEUDixDJ89e/b+mPPkfazH%20WObZxhI/rRKPWw6dOnHZwUeT++IX3nV3HR9aK0hH3GUYjcY6r9KRmH4IbSJlXQgRO1LWI4ZOXVk9%20pNtGyroQiVM+zW+bwH+B9Rh3G5RT/LtDsJrj240Vn5FKmPAHJR3lfGiQFvi+o7Rbx1j8VHH7IY2a%20asmQsi6EiB0p6xEjZV2IboBiiQ85HVwZiYWOXzbrK+5sO3bscP8yFnmsyyikuIT0eaSaIuD6Rydh%203I2oBNGPgLSj8yqdQevsvCplXQgRO1LWI0bKuhDdAqUT9xUs5SiZb7/9tut4ybCKdGzFeswwk7i7%20oNDTMZPRa5qyIncNWidIS1owrEMwbkL0I6DCU0VlR8q6ECJ2pKxHjJR1IeIH3/Yff/zRKeC4c2BR%20p4MoivskcIfhuvnz5yfLly9PDh065KzzYjS4z9DhltYKZl7FlYjWirKdV6WsCyFiR8p6xEhZFyI+%20UAoZShGlnBFbGEEGC/m0HSVxo0HJP3z4sHMDYVx4noGFnnHURTakG5UeKjqkG9+E1gvSjcmbxkGF%20Ssq6ECJ2pKxHjJT16mFilNOnT7tRPCjICYz4gXXUBwWAJnjOx5LHcfkXDw/cU/CXxpKL28rKlSvd%20KE1HjhxpJD+gTDI7Kdb3JUuWOOWdZ6O8E68w34oH4PtO51V830k3Ov+GY9PzDaWsCyFiR8p6xEhZ%20rx6UL5Rz/F0JuC8w26U/cgcFOooZChKFPJ3cGCfapnC3znBYVPk+jObx0UcfuWHomBHR4Fmch8Iv%20ugMKHKOU8N1Rzvm2fFdGeGnbt5z8RDzIi4wmQ/yIJ+vkZ/Eo9r+Sbla54RtTAePflbIuhIgdKesR%20I2U9Pij4CRT6FP6MXoHyj8JPRzhfYUIhYBZHFILXXnstWb9+vbP04V9rcB+a8PG/pQMizfi7d+92%20rhCm5KMg4sfM/QkoalhW6ZiI1T8PxFlkwzfkO9FxEdcTOjIyhX+dI5BUCYooExAxwymjzdAZk8om%20wyBSGW27ghETpAUtFXT4pbL9xx9/SFkXQkSPlPWIYfIVlDyUtpiULfmsNwsKBkoF/sy48KDso9Tj%20o0uFAVDaUdjmzp3rfuonn3zSfSMqClwH5CHO5zxcAlD6UVyuXbs2KGWe9GQsdJRaOiei4OIy0acW%20EN6RCh35ZM6cOclLL72U7N27133rJtx3YoP0oCJtrWB+GkhZF0LEjpT1iMEKi/sFHdqkrItRjMob%20WO1x7/H9mllHUcXNA2sygWHw8OE3sChjwWemSSz+THeP0sc+exaWfnyn16xZ4xQgFF+bedOUXhQi%20nm+tD1Q4fJrK08SHyol12ERZs8l3UOKGANZ3XHloseH96YRJCwLWZd91q49QIeV9mSXWKrc+UtaF%20ELEjZT1ipKyLGMnKiyjkWHJR4k0BtiH28P3HBQjfapup0kbpoPKAhZ9zUPpxBWJscioRvhsKSj/j%20l1uHYNY57lvDqRzwbJ7LknNxDaGDIa0RKKziAXxHFHXGLsfyTsdZ0olvxnfscksD35/3IK9RORlX%20KZOyLoSIHSnrESNlXQwBlGwUbBRy8joWeJa+P75Z6PHBxmWFoRNx58Gtw0A5owXARmwhjy5btsy1%20AJiyhqKPdRmLMkP70SkYqzuKf173kJj+xSohvUlPFPj9+/e7VpOFCxe6ChStMV2B/IHcpPUky5Ie%20ImVdCBE7UtYjRsq6ENWCQo4Ch+//yZMnnUJHQMEzyzujAR09etT5svP/4TqDhRZ3IbP2o/zTFwCl%20lgoCHTpZp5WA/7VPnD9/3rVQkA64RFHRIc2oHFGJigXSHncsRsYpEi8p60KI2JGyHjFS1oWIG/7L%20MAwBXIxQ2pl1lVlEGcGoraEjqUzQkkJri+86lZdZs2a5glBBQUEh1oCcnRYp6zUhZV0IETv0O8DK%20TmsEVm06JdP/gBYHWh/yuhflwZeDtIwwBCOuTPjYCyGEGI2U9ZqQsi6E6Cr4uaNML1682A1Bi5sQ%20/vAo1mU7+yIHqRhQIWAoSvogCCGEmIyU9ZqQsi6E6AOMLENfAYYIZcQZLO+M0sNwmkwKlgc6FCN7%20sN7Tr0AIIUR+pKzXBJ25GPKOUTCqbEqeFinrQogqYHQfOueivKO4M8wio/VggUfBpyMv59DBlfPa%208osXQoiuI2W9JpiUhllMafYdN05w00hZF0LUBRZ4XGZwn6FTFSO8MIa/P7mXEEKIYkhZrwkp60KI%20IYPcQ1FnqMjYWhiFEKJLSFmvCSnrQgghhBBiWqSs14SUdSGEEEIIMS1S1mtCyroQQgghhJgWKes1%20IWVdCCGEEEJMi5T1mpCyLoQQQgghpkXKek1IWRdCCCGEENMiZb0mPvzww2Tz5s3J+fPnpawLIYQQ%20QohSSFmviYMHD7pZ/Y4fPx7VhCBS1oUQQgghuoOU9Zo4cOCAlHUhhBBCCDEVUtZrQsq6EEIIIYSY%20FinrNSFlXQghhBBCTIuU9ZqQsi6EEEIIIaZFynpF3L59O/nzzz+Tv/76yynne/bsSbZs2ZIcPXo0%20uXnzpjt+69Ytd/zu3bvpVc0jZV0IIYQQojtIWa+IQ4cOJQsWLEgee+yx5IknnnDh8ccfv7/O/iVL%20liRffvllq0M5SlkXQgghhOgOUtYr5NSpU8nzzz9/Xzn3w6JFi5yVvW2krAshhBBCdAcp6xXy77//%20uhlLZ8+efV9JR3FHgT979mx6VrtIWRdCCCGE6A5S1isGhZ1ZS5cuXeqU9ZkzZyYXLlyIZhZTKetC%20CCGEEN1BynpNMArMBx984JaxKOogZV0IIYQQojtIWa8JRnxpc9SXUUhZF0IIIYToDlLWB4aUdSGE%20EEKI7iBlfWBIWRdCCCGE6A5S1geGlHVRBN+VK0a3rr6gtM1HmE5KNyHEEJCyPjD6oKxfvnw5uXbt%20Wrol6mbnzp3J9u3b0y1RJRs3bkx2796dbok8XLlyxU0wd/HixXSPEEL0GynrA6MPyvrChQuTN998%20M90SdbN69epk5cqV6ZaoEvLyG2+8kW6JPFy6dMkNi3vmzJl0jxBC9Bsp6wOjD8r6/Pnzk23btqVb%20om6krNeHlPXioKw//vjjjSjrTGa3Z8+eZN++fe65QgjRBlLWB0YflPUFCxbIst4gKOuvvPJKuiWq%20BGV969at6ZbIw88//+yU9SZmhT527FiybNmyh2ak5n/48ssvkxs3biS3b992E+EJIUSdSFkfGAcP%20HnSzqqKwdzU8+eSTyYwZM5I5c+ZkHleoLpDGTz31lAtK7+rDf/7zH+XlAoF0ev75553iPGvWrNrT%20DVlJ3jdl3Q8o7s8884yLw44dO5zyrg6vQog6kLI+IPpSkGCNfOutt9ItUTdr165NVq1alW6JKlm0%20aJE67xaEzuVY1pvoYHrq1KlkxYoVDynpGAtQ0PknPvnkE7nHCCFqR8q66BzyWW8W+azXh3zWi9Ok%20zzruLosXL3bPY+QeXG/++usvZ/iQFV0I0RRS1kXnkLLeLFLW60PKenGaVNZv3ryZ3Lp1K90SQoh2%20kLIuOoeU9WaRsl4fUtaL06SyLoQQMSBlXXQOKevNgm8ufruiehjZSMp6MVDW8R2Xsi6EGApS1kXn%20oHPpZ599lm6Juvn000+T/fv3p1uiSpi99OjRo+mWyMP169fd0K2//PJLukcIIfqNlHUhRC9gKD9/%201A6Fx5J58+alqSOEEKKrSFkXIiKGrnDy/mXhevEwfpqoMtNMUAVJCFE1Kt0GBAWJyE8b6TX0bzTN%20+yt/P4qfJkqfZlA6CyGqRlJlQKgQKUYb6TX0bzTN+yt/P4qfJkqfZlA6CyGqRlJlQKgQKUYb6TX0%20bzTN+yt/P4qfJkqfZlA6CyGqRlJlQKgQKUYb6TX0bzTN+0+bdleuXHH38AMzWH733XduWRdMWW/P%20qxr/nnXcXzyK0lkIUTWSKgNChUgx2kivos+cM2eOuyYroHx2DeJdlrLXoohz7SiFnGECUajrxBT2%20qvHvWeb+4/KXhSawZ1X5HeqqhPlpsnPnzmTNmjUPDc959+7ddE0IIfLRjKQVUTBNwWqFZVbhRqFX%20tzLTBtOkV1nKPJP05zqWhu179dVX0z3dYJo0nybtUMjzwrl+urLtp7/d0ypLWc/getv2LfpV49+z%207P0t/vZ+bUEcqpIz9k51KetHjhxxSxsL3ipjt27dcttCCFGE6ksHES0UFmUx5YR7hPeh4AsLUVNg%20LPhWXrNkso/72jkhvlWvjkJ1Ellxqpsyz8xSpmyffTdLc8O2/e/Gtp/ObPMNwL6FKZks66ig+XEs%20SplrLZ18RTqEdw3TMWy14HpLK46HaeN/I0s/H1Pmqsa/Z9n7+3H3sfc17B3sPLb997T7WNqZjDC4%20n+U/OzfMj366+nnQKjxs2zcicE+Lj3+9ne/fvyq47xdffJE88cQTycmTJ5MLFy64cPXq1eTff/9N%20zxJCiPxUXzqIaKEQKYtf6FphaAoOhWFYCFoBabAvVHj8czhm9+O4rRv+85qCZzZNmWeaYhMGS99R%20iol9B46T/v43Njhu3xbFp+5vwPPKUvZa3o9rR72bnzaW1pYmhp9/SadQkbW0BnueT9a+KvDvWfb+%209s7+/wrhOxrsz3oW+8N0M+z9w+A/g2273tIzK/jHyduG/x3rVtZ/+ukn5/5y+PDh5NSpU8m7776b%20rFq1Kvnrr7/Ss4QQIj/Vlw4iWqwgK4MVcj7s454UoGEh6heSgCJjBe+kgpRz61YK8zBNepWlzDNH%20KVM+HA+/Id/MvgnpHX4TU2jsvpxb93cp8/7GNNeCvW8YsvK+pZeFEPsmFkKlMDxu96sa/55l7z8p%20f/npwzrnWVr6+YVjYVpyHmljMiHEv57jJmcsTn5+BTt/koyx+IXfpQr897hz545T0P/+++90jxBC%20FKf60kFEi1+IFCUsZA0r9KwQBVM8rHAPC9ZJBSlw3C+ouYf/jCYgDk1T9Jko0FxjwbdEhli6W7Dv%204+MfDxUlC6PyQhVw/7JMc21f8dOkTPqE+Ssr8B/bP08AkwsWQiXaQvhP+8+zvDzqXkBe9I8B9/T3%20kc+z7mtxrjo/c08hhKgSSZUBoUKkGG2k19C/0TTvr/z9KH6aKH2aQekshKgaSZUBoUKkGG2k19C/%200TTvr/z9KH6aKH2aQekshKgaSZUBoUKkGG2k19C/0TTvr/z9KH6aKH2aQekshKgaSZUBoUKkGG2k%2019C/0TTvr/z9KH6aKH2aQekshKgaSZUBoUKkGG2k19C/kfJofShtm0HpLISoGkmVAaFCpBhKL9En%20lJ+bQekshKgaSZUBoUKkGEov0SeUn5tB6SyEqBpJlQExa9YsV5Ao5Avz5s1LUy4bzhFCVI/+LSGE%20eIAkohAlkUIhRD3o3xJCiAdIIgpREikUQtSD/i0hhHiAJKIQJZFCIUQ96N8SQogHSCIKUZI2FYrv%20vvvOPZ9lUd58881kzpw56Vb1fPLJJ71TtrLSO086fvnll+66K1eupHtEHvqWf4QQYhokEYUoSRmF%20Yhol26eq+0wLyihKa9/Jk94ce/XVV9MtMQ1S1oUQ4gGSiEKUpC5lHYWPc8xqi1WWbQJWa/Dvw3l2%203Lfgsh9F2qy7dq3t92Hb7hEqnBYfCzzDj5MFnmPn+/fwLdB2bvgMex+CnTsJP17h+/j3I9i7g8Wd%20+ForACH8Jv4xS0P/HD8d7TwL9jz/3Q27lwVLN7B4s/S/if9dLV68P+f51/cF3k8IIcQ9JBGFKEkZ%20hcJXxsaRpeRxnSmBWffxlVDg+izF11cy7T6+MogSaMdZ+oo16/62fy8jPIfjPMPHjyfv5MfT3mNU%20Gpmy68P1ljY8O4yTxYF72/3tfPDjkPX8rPQO3z18b+C4/25+PA2usfex5/gKOPew+3Lcvx/n+ef2%20BUsPIYQQUtaFKE0ZhSJL6fMxRS5U8oDr7Pio+/jnhMqk4e/PUnx9THG1uIQKadYzwnMmvQuwbUqn%20xWlcGoX38wnvDX562Tv5Si7nsw+y0iQrvcN3D98b/HfPei7Y8zie9Zys9GMf52Xdrw/wXkIIIe4h%20iShEScooFKaMhQqW7UdhA1MebdtXzjhm5/vKYqg8httGlpLJvXzsePgMtn2F1FdQ7Tx/H7A/VDbt%20PYC08J+RB+7n35N0svuNShs7nqU0W3obnO9vcy+2/es4x3+G/562398HXMs9LC7g39PiztLw75GV%20T/y07gu8oxBCiHtIIgpREikU1YDi6SvOBvuy9ov+o39LCCEeIIkoREmkUEyPWbl9CzWwv48WY5EP%20/VtCCPEASUQhSiKFQoh60L8lhBAPkEQUoiRSKISoB/1bQgjxAElEIUoihUKIetC/JYToC1XIM0lE%20IUoihUKIetC/JYToC1LWhWgRKRRC1IP+LSFEX5CyLkSLSKEQoh70bwkh+oKUdSFaRAqFEPWgf0sI%200RekrAvRIlIohKgH/VtCiL4gZV2IFpFCIUQ96N8SQvQFKetCCCGEEEL0GCnrQgghhBBCRIqUdSGE%20EEIIISJFyroQQgghhBBRkiT/B0To/+OUupgiAAAAAElFTkSuQmCC" height="350" width="747" overflow="visible"> </image>
          </svg>
        </div>
      </div>
      <div class="fig"><span class="labelfig">FIGURE 3.&nbsp; </span><span class="textfig">Typical values ​​of wear coefficients K of different materials in slip pairs under different lubrication conditions.</span></div>
      <p>Ceramic
        materials subjected to moderate sliding may show wear coefficients as 
        low or even lower than dissimilar metals. This fact, together with its 
        high hardness, shows that ceramic materials can present significantly 
        lower wear values ​​than metals. However, the volumetric use of ceramic 
        materials presents some limitations for tribological applications. Their
        mechanical properties (especially the fracture toughness) may not be 
        adequate for the requirements that are needed, such as producing them in
        the appropriate forms (which would have to be done by powder 
        metallurgy, generally with high costs, and also the possibility of 
        surface fractures of small scales but leading to severe wear, which 
        requires great care in the design. However, components of integrally 
        ceramic materials can be very durable for some tribological processes: 
        for example, alumina bushings and seals in water pumps, silicon nitride 
        valve components and alumina femoral heads and cups in hip implants.</p>
      <p>Some
        of the disadvantages of the volumetric use of ceramic materials in 
        elements of friction pairs, can be avoided using the material in the 
        form of deposits in a metallic substrate, or by ceramic coatings 
        projected by powders in the form of plasma or by physical deposition to 
        the vacuum (PVD) or vacuum chemistry (CVD), which are methods that 
        conform an important group of surface engineering. In all tribological 
        uses of ceramic materials, the use of lubrication is very convenient, 
        since it reduces the surface traction and, therefore, of local fracture 
        that leads to severe wear. However, the possible chemical reaction of an
        unsuitable lubricant with the surface must be taken into account.</p>
      <p>In
        polymeric materials little is intended for use as wear resistant 
        materials, being commonly used as slip bearings, sometimes in conditions
        of dry or boundary slip. However, some polymeric materials of 
        sufficient strength can be used as volumetric elements in tribological 
        applications, being significant the use of nylon (polyamides) and 
        polyester sulfides; besides these materials, in most of the times, are 
        used as polymeric base composites, strengthened with suitable fillers. 
        These materials are used as low-loaded gears, although polymers 
        reinforced with carbon fibers are used in some gears for racing cars, 
        which combine low weight and good tribological properties compared to 
        similar elements made of forged steel.</p>
      <p>The wide diversity of 
        existing engineering surface materials, allow the designer to select 
        them, at least to a certain extent, instead of using materials 
        volumetrically equal to its surface.</p>
      <p> <span class="tooltip"><a href="#f4">Figure 4</a></span> shows the wide range of combination of layer depth and hardness that can be obtained on surfaces by these methods.</p>
      <div id="f4" class="fig">
        <div class="zoom">
          <svg xml:space="preserve" enable-background="new 0 0 500 305.328" viewBox="0 0 500 305.328" height="305.328px" width="500px" y="0px" x="0px"  version="1.0">
            <image transform="matrix(0.5123 0 0 0.5123 0 0)" 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+XNhRUba%202dkNGjRozJgx06dPHzt27Ny5c1++fGlra/v27VvRQw34A/6MwUiYcmfKlGnq1Km3b9+md7acPn0a%20+bVr1+SNasHOzRgMQ4cls2fPFhbD6BmDOnf27NnTpUuXK1euGjVqiCq9UTJ25tpFfSiHMXsMrdwG%20+6bAW3dvLw/fGJOePs1nanTs2JGMz58/I6cP1XyV8+7dO9iUmzHxO7ciSl6+fHnv3r1xKomTyMGD%20B6v5WUUV2LkNRtGiRelTQAUKFNi6dSt9Mwx5qVKlSpcuDTuON1qaB/E7t/LfFFVOKDWgX79+wtIz%207NyMocMSM3PuAmnTFkoXc6pfv77oZDLQC+QAPSrVpEkT+hjTiRMnunbtamVllTlzZsg5vfdvy5Yt%205cqVc3d3L168uI2NTZ06dWiS0NDQGTNmyGQynEF9/PgRlRhPzGfRokVhYWEhISHVqlXz9/enZdWr%20V2/+/PnNmzdv27Zt1apVAwMD0Yc+C/r27dtRo0Z5e3vTbPfu3YscEQEVvby8Zs+eDWFt1KiRIr5K%20KIZ2bsWnTc2Dntb5FZ+YVkk6+Z66xtBu7P405rcsJhT6Vq3kMLRzt2/fXlhmgck6NwPice5WrVpt%203LiRbBynOnfuPG7cOByAevbsuW3bNqpPEC1atBCWWWCyzj123lak0Xb/uZOHziDbtWuHvGXLlsgR%20dSi+ZoEYA7HB3bt3bW1tly1bNnLkSPryBIIK5DNnzkReq1atpk2bwkBo8fDhwx07diAgWb58+dGj%20R1FpaiRMubU/oVR8ht08MFnnbj37PFKr2f/5ivy///6L3MnJydnZ+cuXL/DsU6dO0cNW4eHhFy5c%20OHPmDPqcPXsWYfeDBw/wQ6P+5s2b169f9/T0dHV1RXR+/Phx7ADIMR/MAdNiqnPnzkUtwMQwdFhi%20ZlcqOCwxZQzt3Ib8ya2trXPGjuikHezcpoyhnbtSpUrC0j9OTti6mFNEBHIdYMLOrdjY/7Nu3Trs%201V5eXrBDQ0OTJk0KI2XKlPLGqIcJkR86dMjOzg7Gr1+/2rRpA0PxiTK6RVTxXm/ELcjRjT6KYWVl%20hRh97dq1Mpns/v37yZIlQyXl1apVQwSPAYnjGyf6IJ7f+N69e8KKjDx48CDOL3FCuWrVqrZt22r2%20qUJMKCz9o41zR/0N79qq6Gnn9F6ihxyTde4HD54h3b//RJS1Y9OmTXCFKGvEiMisWaOMf/7BbhFl%20mDDx/MYqZMyYUcsTSqk4d9myZX9eXBo9bZ7STfSQI4mwxDAffzRB4vmNdc4I7PrxccLJaX7s0EsJ%201UEb5y5RooTdwBbRU5f65UQPOSbr3LQrBpycC7t27dpUScT2CoMsWbIIy1yI5zfWOcOHDxdW7JQq%20VYquZMWYUmfKIfrFR2KOubfv2Im0aXPUdW6Fcz9+/PjixYsIjtevX79y5cqbN2+iEvbixYtTpEgB%20p2/duvWuXbuosxmgm99YfWxtbYUVO7py7rjRyUsmJBGW6DAUzJ8/v7CkQPzOXaZMGeSFChVCXrJk%20SXmd5ixatEhYsWMY546Ndu3a1VePBg0axOHc6dKlQ59rN26L+RoWWT4bkZJG3d2qIG3atMKKjGzW%20rJmw5KgTlpibcwO6TSwoKAi54l2BmqHOK+uN69yyVHn+7xlxp/x943BumWVG9Dl+/LiYr2GR5bIR%20SVZcVMkZMGAA8p8/f0LOkyRJkilTpvDw8P79+yMmAVWqVOnTp8+lS5fevn07Z86cwMBAmkqBGTq3%20DtmxY4ewYkcCzq3pa+Xo79VmDD0SYSKYonMj+GlndyW2lDqTfl9YpVfn9vT0FFacaH8+8EWJWTNn%20idrISKg18o0bN9L1QX9/f+SfPn2CTsPYuXOni/zTn7B79OiRJ0+ed+/e4YhNp6QfP36k/nGQqJ0b%20Z+vCMlXUce4k6YvLZCljSyUmLChru0HjVHHJbrEqWiCum8qhG/oUnD9/nnLsQjdu3Lh8+bKzs/P9%20+/dRCRvO/f79ez8/v0ePHqEmJCTkyZMnNAm6IWKBEQdScm5sWJEiRTAKiifwqF5jTM25fXx8HJ63%20X/OknTpJzZU3BedWpl69eo8NxfPnz4WlHmIV9UP8yp0tWzYydHJC+eLFC2GZBnDuVQ/brnBto046%20e/asmCxOTMG5Fee1XXJkV/kjTuLB0GFJYnDuxYsXL9ECTC5mpAUxOje9gfrHjx/IrayswsPDYaRM%20mRKRNN1NBRCfWFhY9OnTZ+3atWXKlOncufO+ffs+fPhAcQvInTs3gnLFc41//fWXpaUlQnmK1DHP%20iRMnFi9eHDH9lStXMAfFfVeGx9DOHRwcLCzTwMfnk2XypGqmCxcuiMkkBSu3gTA15zZXKtX763cq%20umfPHlGbyFDXuTNlyoTTyhYtWuBoJaoYE0YRSq1+3A5xhajF7y2T3b59e/fu3Xnz5l29evXOnTsR%20COGXRSCB1uzZsyOHAP3xxx8BAQGFChWaNm0a7LJly6IeZ19t2rRJly5duXLl7O3tU6dOjRBl4cKF%20NGFISIijo2NERASKJoK6zk3XQcHkyZPJSChdu3bFHgIyZsyo/GZkRt+o87cFs8TQYQljGE785vjx%20Exr/yUm3aPa6BG0w6GaHhoYKi9EziguLZey31Vd695WtrS1dLVGg+MioMh4eHsJSgv66qcDGxkZY%206nHo0CFhGQp2bvMkODCAUlCAv8rVkrlz537//v3AgQNNmjShmjFjxly8eBG/Dj1VSA9HArj4hg0b%20vLy80Lpp06b8+fPTg9XVq1dPlSqVpaVls2bNEGG+evUK0SZNEgeGj44M6twx6gGjb0zkUiA7N8Po%20DMM59/r16ydOnLhly5Z169aJKobRJwZV7gR9GophtMSgzm2sx1ISFZPNC7FVGmFQ5z548KCwGEb/%20GNS59+/fLyxTIiwsTFhqEP2xQnXQ7B1GHz58EFZC6NSpk7ASPQZ17lWrVgnLlPjy5Yuw1GDr1q3C%20SgiaObdmH2TS5hbTx48fy2Qyg33aRd8Y1LkNifp6nKC3Mype1Z4g6B2TCcXa2lpYCaFz587CSjiv%20X78Wlllgts7NMOzcjNnCzs2YLezcjNnCzs2YLYZ27ooVK9JD1/TdTg8PjwTdFmxlZSWsBF6CGDdu%20nLDUQHHjcoYMGciIF8UDAenSpXvz5k2vXv/5AEPcpEiRgozcuXMjp4/o0fNa8Q5OVvrOwW+KFi3a%20qVOnjx8/xnEPasaMGckoX778r1+/6EWn4OnTp8OGDcuRI+ptdfTBEKljaOcOCwvz8/Mjmz5zSLn6%20KC5LK+ajDglaCs05Qde/lSf59u1bgu5cV2wIHFp5TOJeZ39//5CQEMUkAAaE48ePH1gBFGNbf+VV%20xSSKa6aYIVZbZR0kDYcljNnCzs2YLezcqpjI47SM9vAPqQo7t9nAP6QqKs7duHFj5IoPQqCIDk5O%20TopK2KgBvr6+VEOTKKhQocKQIUNEQQ46k4EmdT41wWgGO7cqCs8D4e7uQXPnapbELGLCpF5ibcaw%20c6ui7NyMpOEfUhV2brOBf0jGbGHnZswWdm7GbGHnZsyWGJxbf2dUfK7GGBJ2bsZsYedmzJZ4nJv+%20kqzy92SNYedmDEn8zo2ico2jo6OLiwvZdNeE8o0TiqYYUZ4Pw+ib+J1bkRNwX8VHhFFvb2+v/BYY%20dm7GdIjHuXULOzdjSNi5GbOFnZsxW9i5GbMlZufWH2IZDKN/4vE2+tDHlStXqPjr1y9FTijbDGNS%20xOPcu3fvRm5hYUEvQ/ry5QvUt23btmfOnIFRpkyZ5cuXJ+jlNQxjMOJx7mPHjiG/du1amjRp9u3b%20B7cOCwurX7/+y5cvqcPKlSvJYBhTQ90gOLZQhF5pxzAmCJ/hMWYLOzdjtsTj3LVr137+/Pns2bNx%20+vjgwQOcPooGhjF54nFuW1vbp0+fwmjSpElISAhVMowkiMe5HR0dhRUZuWjRImFpAV8XZwxGPM69%20YcMGDw+P7du3w759+zZVakPZsmWFxTB6xqAnlGnSpOG/wDMGw3CuFhAQ0KhRo3Llyo0dO1ZUMYw+%20MbSOnj59WlgMo2fYuRmzxdDOrbjBkGH0jaGdO+4niBlGh8Tj3IqLG3PnzrWzswsKCrK1tb1//z6K%20I0aMmDJlyvjx46mDmrBzMwYjHueuUaMGGXQ/t4+PD/KtW7cih9+fOHFixYoVUc1qw87NGAx2bsZs%20ice5Dx06JKzIyJ07dyLfu3cv8h07diCHp967dy+qTW0Q0giLYfRMPM6tc9i5GYPBzm1WIFa00I5k%20yZKJeUkfwzk3wvdcuXL9+eef2bNnF1V6Y/Wq1SVjR3QyR+rVqycsTVG+D1TqGFq53dzchKVPunfv%207uXhG2Pyee8vOpkjCXLuGF9bwM6tOS9evBCWPmHn/vr1KxleXl6K/P3798jpme7v378nTZoUhgrs%203JrDzq1XVJw7KCgoS5YsFy9efPnypaurK+yPHz/6+/tv2LABrabv3Fu2bBGWRsTj3HXr1j1x4gSM%206dOnr1ixArv7smXLbt++vXLlyn79+lGfBMHOrVcUzm1tbZ07d+5z585VqlQJxQIFCowfP75EiRKw%20q1evXrRo0cqVK1OTCvv37xeWCUBPyWhM/Mr9+vVr5DH+EQd5QnF3dxeWPmHnVkAibZZQrBUH8Tso%20xBu5rpz7w4cPwtIn7NwK2Llj5fDhw4pHeo8cOYLcyckJOerldQmGnVuv/P3338L6zfr168nYu3dv%20cHDwoUOH1HxG+8ePH3G8BfLnz5+YT61atUT5v2DajBkzioISAwYMEJYcRLyxzUHB+fPnhRUNHSi3%20bjEn5544cWKhdGljTEXSpROdDMu4ceOE9Rtl5Q4MDOzRo8e6dety5crl7OycL1++5MmTV6xYsWXL%20lmfPnkWrnZ3dwYMHr169is5NmjTBWWmbNm3gqcOGDUMsPnjw4JEjRzZv3vz9+/fwbPoYWLNmzdau%20XZs1a9aCBQtiKhw6jh49Wr58ecz/zJkzNB/kY8eOhZtaWFiMGDHi1KlTVE+vU7W3ty9evDhOADDn%20P//8E5MXKlQoU6ZM+fPnxzlenz590DlGTM65410hndCtW7fH91/GmNweeYhOWoOfvG/BAjGmgYWi%20fmnDQ869ZOEq2pP//fecsnPDtyIiIjp27AifhlfBQVu3bu3q6krRJnHv3j34n7e3N+zw8HDk0O8b%20N27kyZNn8eLFM2bMuH//vr+/P5og3kmTJkVTp06datSoQa7s4eGBOJbefP3t2zeaDw4XFy9eHDRo%20EHanf//998mTJ6gELi4umAO8HDlmYmVlhX0J/v3ixYty5crZ2tq2b98ey6LO0TE5545jXSWH5Jxb%20Y+7cuSMsU8KEnBs7Lryhf//+ZvP0u8k6d98+g5YsXIF05cqVBg0ajNKamTNnCks9op/X6gNWbj1i%20ss6tjFGulmj5xxc1YefWI1J3bgqpiXfv3glLCZx6CiuBbN68WVjaoeWfS+NxbuyCCxYsgIFYYuvW%20rQEBARs3brx27dq2bdu6dOlCfRKEOb1N02Sdu//YmWPnbUU6cfKssnP7+fm1bdsWxvz583fu3Em3%20muCcEvnt27cDAwNxbjd58mQU9+zZgxynnvDvly9f4jwSk6RLly40NBQ2zkfpTJGuhFCujK6UW79/%20fgfYGOS6+iOOOX2JwWSdu1zbia1nn0dauW6LsnMHBQUhz549e/369S0sLC5cuODg4EBN0Cw3Nzfl%20S+BDhw6Fc48cObJHjx7ly5cvVaoUguknT57AxaFrOMWkHQA/aPQL59Jw7urVq4eFhcFg546OtJz7%201atXJ06coAt2yM+dO0d/j6PLdidPnjx79iyCkxcvXjx48ODSpUvUjUAT+Pnz58OHD9EUHBx8+vRp%20+DSmxXw+f/789u1b9FcgDed2cXFR3OpEfyuizcYmyesSDDu3XiHnLt1mcss5LkjL1m7U4ITS19fX%20w0OrvwZIw7l1jvJJjNSR+gml/kikzm1OSMK558yZ88zgIHwXViwgcBfrFyfs3DFz9+7dnLGzYMEg%200U8LWLk1JkOGDMKKE3bumJHfnYOtizl17NhR9NMCk3XuBQtkv35FpQ0bJuvPuefNmyesaCxevFhY%20cqL/cYOdWysSs3MvXCg2c+PGKQrnpsdEPn78ePLkSaoBwcHBwlL6XJGPj8/+/fv9/PxgKz+YkyxZ%20sgcPHkREROTJk+fHjx8XL15E5cCBA5GXKVOGOly9erVw4cJ2dnZHjhy5efMmrc+ECROQ0yNdhFk5%20N84jMRz091LDnFOycyOpOPfPnz9hrF69+t9//6VK/ChkKF+rbtCgwZs3b8i56fvoCui+IDg3crpi%20NmLECAqgMXOaP7C1tS1RokT79u3Pnj1bsWLFT58+oVL5kU2TcG7FxexBgwYdOnQIx5e9e/devnz5%208OHDLVu2pCb1oT+JGQZtnfv+hshrq6Kl1bdu3RIdTNi5X7x49eDBMyQ4qM7Ckp49I/PmjTImTYpM%20nz7K0OLrdibh3HG/CDOqISFIybmvr/55cWn0JAnnVgbOHaRrov9JMqGwc2sFO7f+iOPxM92iX+dW%20fokrzg+Q033rN27ckNclDE9PT2Hpn8Ts3FXLFO5ctzTShX+j/tiuc+K911RXSOOEknB2dhZWnMyd%20O3d+LKBJdIoPLZ174dDWdgNbRE/Xr18XPUz5hHJIS9oVz539z+e1MmXKhJxuFtIGdu4YUNO528+7%20Rvf9RE8d5qt7xNBWudVAcs6dK1eunDlzwkDQXLly5bRp037//n3Xrl3Hjh2Dx0dERKj5Dl527hhg%2059Y35Nzbd+yk9P6/caCVlZWLi0twcDCOgTh9qlix4oEDB+bMmePn5+fk5PTgwQM1v3vBzh0D7Nz6%20JsYTyn///fekjqAZsnPHwO7du4UVJzpxbgMgFedW/tOgTmDnjgE132vIzq0x5NwOG7Zu3OpICZE0%20vSpMJzSUExAQIMp6Rr/OPWPGDIxXsWLFEKLt27dPg79KKqPm857Gde569erVVw+cn6n4tCLBuRs1%20aqT4K4HBIOe2yN5Ils+G0s8fIfjhqBW8ffv2+fPnomDy6Ne527RpQ0bu3LkHDhz48uVLKmqGJJRb%20lr+fwjPiSakLq/i0IsG5ZfkHyLI2EjM1FPE69/v372/fvv3s2TNRlkfkO3fupOuDb968mTBhQsmS%20JUuVKtW8eXPqYET0HpbQRurEuelPm/FiDs5duJDM2mjOLcvSUJbLhpKyc0+dOhVO3Llz5+7du//6%209WvNmjWLFy9u1qxZcHDwmDFj3Nzcpk+fXr58+WTJkuG4FP2dmoZHv85tZWWFPH369MePH582bRp2%20aKrXjNmzZwsrTkzdufMP+ODl+eKFG5KbG/7FmKJa5ek/0Hsy9Ac5twqaPcptCkjphNJMnNv6P+/h%20TRCLtLiTTh3YuZVh51bF/Jy7evXqwko4y5cvF5YxMEPn7rTobju7KzGmTov1/o1WvTq3vn2FnPvU%20qVNffuPn5xfjC97hN3PnzkXAXadOHRRbt24dEBBQu3btK1eu9O7dGzE3KosVKzZnzpw7d+5cunRp%20//79VGlIpOTc/fv3F1bsxHuvsPY3E8eNls49Y/Kk8gu2a5NkSZKIeSUccm56e7wChXO/efOGjFy5%20cp08ebJhw4YPHjwIDAxcuHDh0aNHld84Bad/+fKlo6NjvXr17OzsduzYMXny5O/fv1OrwZCSc/ft%2021dYJowaJ5T9ZTIrmSxlLElW1naDNkl75x4/fjzdRAnguDVr1qRWAL+n64Dnz593dna+cOHC3bt3%20qXj58mUvLy+I/cOHD1G8ceMGBBt9/P39v337htabN28qHiQzDOzcWhEWDVm+PrK8vWJO+XrHn1IU%20VnHWhCbtnVuFKlWqCEtq6Ne56QGckJCQrFmz7t69GwcyqtcME3TuxgOKrHnSTp00ZHVVMU2c4CCu%204qwJTTp37ufPnz82SZIlSyZWMRb069wRERGVKlXq2LFjUFCQNn/EwWnKqFGjihQpMmbMmLVr14pa%20E6Bh38IrXNuokwYuV0v//vnnHxVnTWjSuXObLMZ3bjJwCqL9XygN8zWJBGGWzt0wV07F30qv/ffk%200qQwsnMnT568TZs29GKKGTNmFCtWjOo1g51bnaQ/586cOTNyrCEVlRkyZEiMX8uODk5LlM9QVXj0%206JGw1MDIzq1bEoNz37h1a4l2rF69Wswr4cTt3K1atUJOrrlz5074FjwVdvXq1QcMGADn3rRpE6LH%20pEmT0ku7wfv37/ft2zd58uQTJ05QZwsLix8/fnz//h3dfv36hWN7eHg4KtesWYPikydPEMF+/foV%20PeleA5VXdyvDzq1fdO7cxoWc287WdqG9PaUPXv/5qi08MiAgAL4Io3HjxlRDOUG2lZUVfHru3Lk4%203aL6vn37Xr9+HbvHH3/8gT4IU5FbWlpS4IoOlIeEhIwcOdLV1RX29u3bZ8+eHcdFCLNybmtra2GZ%20DFapLC2TJ1UnWVj+/21gJgufUCpjUOfOnz+/sBj9IC3njpECBQoIi52bUYacu3SlwpXq/UVp+Cgd%20vInckLBzMzFDzj1gcVXFqcKQaZ2o6efPn58/f4bh7u5ub2//5fcr0ciB6MZ9NaHzRYCZZMyYkWxd%20YTjnHjRoEE6Bs2XLRg8858iRg+o1I0uWLMJi9EMczg1wtodfMzg42MnJCd5csmRJ/L53797t2bPn%20n3/+eePGjalTp6JbjRo10KdKlSphYWGLFy8+efLk8OHDsT/cu3fv4MGD8ITkyZOnT5/+27dvmIlM%20JvPw8ECxYMGC9EYrLTGcc9erVw/DATJnzoyNXLJkiWjQiCRaXMFl1IGcu0674p3HVaU0dGwfagJv%203ryxs7OD4545c6Zx48Z0HePBgwdwYvil4rIGfm76FkJoaOjRo0e7dOkCh7t+/TqK8GN4ea1atXLm%20zLlt27amTZtaWFjgvDAgIKBq1aqHDh2iOWiD4Zxb8fz2kydPkL969YqKGpA2bVrs5TiK0avLGX3A%20J5TKxOPc9IQScgL7LtVrBiu3vmHnViYe59Yt2D2ExegHcu4Tx4+f+I3ixFEqSNW5+WqJviHnLthj%20qOJOFecrV6hJKkjVufPlyycsRj9Ed+7DR49SE4h+V5Obm5ulpaUoKBH9Ah9OMXEmKgpyFHeM6g92%20bub/RHfuI0qfI6OwMFu2bDY2Nps3b86ePTvO8oOCgsqVK/f9+/f69ev7+PjQ88JlypQpXLjw2bNn%20s2bNWrt27cqVKw8ZMiQkJGTw4MG7du0aMWKEp6fnr1+/JkyYEBgYiKYY7zTUHnZu5v+Qcwd/DwwO%20DKCkrK8vXrx48+bNwIEDFYE4fpGHDx8+ePBg4cKFKCreMgXnHjp06Ny5c7t3744m5dcL0mOUmK38%20EvGvgwcPwuOpSedIybnLli0rLEY/kHMbnkGD9PJHfik5Nw5wwmL0g7GcW0+wczP/h51bGXZus4Kd%20Wxl2brOCnVsZAzn3kydP1q9fX7Vq1XXr1qn5PThGA9i5lTGocvfu3VtYjH5g51aGndusYOdWhp3b%20rGDnVsagzj1hwgRhMfph2LBhk80I+rupxhjUuadPny4shtE/7NyM2cLObVbQG88YwqDOPWvWLGEl%20hE+fPglLbXx8fIQVH9++fROWemj5oJ2+CQwMFBZjYOfeuHGjsBKCBn/XbNKkibDiY9KkScJSjyum%20/WALO7cyBnXuPXv2CCshNGjQQFhqQ68zVYeEHkwS9IpeyZEqVaps2bLF8V5WaWFQ59YMdm6DkSZN%20GisrKycnJ1GWOBJwbg5L1EfLsMRsNJuQgHPH8R7/2KA3T6vDxIkThaUeJu7cjDIScO7ECT2hKAqM%20RrBzM2YLOzdjtrBzM2YLOzdjtrBzM2YLOzdjtrBzM2YLOzdjthjaud3c3AYMGADj2LFj48aNe/36%20teLTWOqA/pUrV4YxefJkqlGHT58+vXv3ThTio0OHDsiLFy+u/jdSevTogbxo0aJYPQcHh6dPn9I3%20ZdShUaNGwpJ/Z6xTp04PHjxo2LBhly5drl+/Lhpigr7ki0maNm0Ko3v37i9evAgPD8fSly9fjpWP%208UP9NHpVq1Z9/vz5sGHD8HNQ/Zo1a+jL1phh+/btsQ7q/5XXZDGCctOHhe7fvz9+/HgYCX31f/r0%206YWVEN68eSMs9UjQp+sI+h4uvcw3QXusMuXLl4+IiChbtmzLli3jHpk0adKQUbBgQeTwV+T0sMKU%20KVOQJ0+eHHmM5M6dG3mLFi2oCGbOnImcbk0pXbo0dpIKFSrIWySMEZybvgD/8OFDcm71RY5InTq1%20sBKCp6ensNTDwsJCWGpDX/yh2ww1dm44FuXNmzePe2QUzk0vhq5YsSJycm66GyyOTciZMydy5dvL%206CGpgIAA5CVKlEBerly5qAYpY2jnpl9dJpPhlwsJCYFKJcgPSMwwOQ6g9EuoQ4KWAvXCzGGof0jB%20JN+/f4dBkyRoi5S/WECT+/n5wUd//vwZ91NC6IZceSVpuZTHtvKYp/KwK6+q8oS0DvJqCWME5eb7%20gRjDYATnZhjDwM7NmC3s3IzZws7NmC3s3KYOf3ZZY3jgTB12bo3hgTN12Lk1hgcufuzt7V1cXETh%20N6gUlp5h59YYHji1cHJyUnYyFMm5lV1c+Yv8RBx+qbgtSWXO0WHn1hgeOLWAckd37goVKiic29fX%20d+rUqTCohpReHedWmXN02Lk1hgcuLoLmztU4iVloDTu3xvDAmTrs3BrDA2fqsHNrDA+cqcPOrTE8%20cKYOO7fG8MAxZgs7N8MwjMRg4WYYhpEYLNwMwzASQ13hluKlVr48zDCMWcLCzTAMIzFYuBmGYSSG%20VsLduHFj1FOTsh030Z8y1BPqrAzDMIzk0Eq4gfJXJWDTE7H29vboP2TIENhTp05VPPxK9Z07d4bt%206OiI/uij0HHUo5W+0oEm1NNTtjAqVKhAc04Qsa0zwzCMpNGXcJNGk02Vip6oIYNqqKgyf8h6xowZ%20fX19YaODZkE6CzfDMGaJVsIN5UU9NSnb0FwE2giTXV1dFZUAMTWaIMTQZaqnYBwoWqknlBqViL7R%20AZWARDxB0GwZhmHMDHWlLTYR/CyvN0wesnw5cvVh4WYYxixRV9qkKIIs3AzDmCUs3AzDMBKDhZth%20GEZiaCVtUEZLS8ukSZPCuHbtmqhlGIZh9IlWwn3ixIndu3eLglzHr1y5UqNGDdg7d+6sU6cOjM2b%20NyNv164d8oYNG44dOxZG27Ztq1ev3qJFi3r16qE4ePBg2DAYhmGYeNGxcCPPnTs3FTNnzox85MiR%20YWFhMGxsbKDpdevWvXXrForbtm07e/YsjC9fvnTu3Llq1aroiSLDMAwTN3q5VIKivb19njx5AgMD%20YQOqT5MmDYXYFhYWVlZWSZIkyZAhA4qVKlVCDbq9fPlS3pFhGIaJFa2Em2EYhjE8LNwMwzASQyvh%20fikHxvfv31/LgeHh4fHmzRt/f38Yb9++pZ4MwzCMrtBKuE+ePLlnzx6yS5QoQUaePHnIyJQpExkM%20wzCMDtFKuE+fPt2pU6eFCxcuX76c/sz469cv5DKZzNbW1svLi4oMwzCMDtFKuGfMmDFu3DgY/v7+%202bNnv3LlCmyI9Y8fP3r37i3vYmR27dp1+PBhUWAYhjELzPmPk6tXr5bfiyg7ceKEqGIYhpE+Zivc%20M2fOJNUmVq5cKRoYhmEkjjlH3GDPnj3Ozs6iwDAMYxaYuXBv2bLl9OnTosAwDGMWmLlwb9269dSp%20U6LAMAxjFpi5cC9btkyDz8MzDMOYMtoK97t374SlxIMHD1xdXSMiImD7+Pg8evTI3d2dmu7LIfvN%20mzdo8vLyoqI+YOFmGMb80Fa4K1WqJKzf5MqVi4yMGTNCtadOnQr7zp07W7duTZo0KTXJZLLTp087%20OTnBXrFihf4+wsDCzTCM+aGtcNNnE5RRvI87U6ZMCuG+ffs2hNvCwoKaSLjp9moWboZhmAShlXB/%20+/YtX758x44dE2U5NjY2J0+ePHXqVNOmTf39/cePH3/06NF169ZduHChWbNm0OszZ840atTo/v37%20S5cuRdPMmTOfP38uJtY1s2bNcnV1FQWGYRizwMz/ODl79mzFJXWGYRjzgIWbYRhGYpi5cM+bN+/F%20ixeikLjhNzVKEfrUn3FxdHQUFmMymLlwz50715yEu3v37r4fvn/zCU1QCvKLaNiwoZgFIylYuJkY%20MXPhHjNmjJkJ91t3by8P3wQln/f+LNwSJbpwp0uXTiaTTZ8+XZQ14urVq5aWlqIQHyzcJggLt5Rg%204U5sRBfur1+/duzYURQiI//++2/UNGrUyN3d3d7e/vHjx/Xr10+TJk2HDh3QmitXrp8/f6ZMmbJY%20sWLOzs53794NDw8vW7YsmtQX7kOHDmFurZn/0qZNm/bt24sxMjjaCvfr169v3rxJX55UcO3aNRzS%206clJLy+vGzduwJ+o6Yocsg0ACzcSC7d0iS7cAQEBJMpg06ZNDRo0+P79O+zr16/7+PhYW1sXLlwY%20RUg27YCfP3/u1q1bUFAQWrdu3frw4cPNmzejPmnSpN++fYMRLxxxx8aWLVuEZXC0Eu7z58/jrE0U%20fqPmAzhk6BsWbiQWbumizjXudOnSQa/BX3/9RUaJEiXI0AmK2TIqaDMy3t7e4vfTCG0FlO5VqFq1%20KhWBSQl3v3799PouFAPDwp3YUEe4N2zYICxGOmipS1oJKM7UDhw4UKtWLdiKu82GDRu2Z8+evXv3%20tm3bFqd148aN27Vr1/Lly11cXDp16rRPDpqos76BcH/48EEUpA8Ld2KjePHi2MXixogn7IzGGFO4%20TR8WbiTTFO6wsLAQjfj586eYRSKAPsYdNzFG3C1atCDj7NmzZOiWrl27fv36VRQSyIoVK4SVQC5f%20vrx//35R0A53d/czZ86Igta0bt1aWGrDwh0XLNxIpincQ4cO7V3Aun+hgglKgwsXqlChgphFIkBZ%20uHv16LN8yWpFmjdnwcULF1Efo3B7eHgsW7YsMDDQzc0NxZEjRz59+tTCwgJnxnShEifByOvWrYv8%20xo0bp0+f/vTpU58+fdAhXbp0qCxXrhzydevWPXny5MGDBziTRhEzJJGCcON8GufQq1ev7tChw+bN%20m7E4ei8QJv/8+fPGjRthozMkcubMmVD5iIiIFClShIeHo5KOvkmTJoUW060NBQoUQE6n7+fPn793%207x4MSLyfnx+MP//8E/nx48d37twJA2AOTZs2/f79e48ePVCcP38+Tj7WrFnj7OyMJho3a2vrW7du%20nTt3DjbWM2oy+XVabOOzZ89IuOmVpYMGDbp//z7daVOvXj10wKrCbteuHfJs2bIhxyBMmDChZMmS%20sOfOnfvu3bvevXsj/ggKCmLh1jG9evWCO4qC9Dlw4CA8UgO2bdsuZmEyQAh6WufvW7BAgtLAQgUr%20VqwoZpEIwG8nrMjIJQtXKR+P3Z++//ffKEmK7Rr3oUOHSJ1B2rRpbW1toVnQPkjqnDlz7OzsUL9p%200ybUQ3+bNGny48cPdJg1axbymzdvZsiQ4eDBg6ifPn36jBkzypQpQ7OCoGOSvHnzQiuh1G3atEER%20orZgwQJoKFaYPhaIn+mff/7p2bOnr6/v2LFjYaAP5nz37l3IK5oeP36MIo4rOXPmxPqMGDEiODj4%20jz/+2Lp1K+YzZMgQzASaiAXNnj0bQgm7S5cuWByOCmjavXt3rly5IOs4hEybNq1z586ohOb2799/%2027ZtkFfMGULs4uKCDcEa0oEEYEwmT55sY2ODgwQOZlgHrAkOaTQ+OMYULFgQBxvY165dy5cvH4YX%20mzZ69GgsyNvbG4elEydO1KxZE5uALSpSpMikSZOyZMni4+ND81cTFu64QCxAN0sxpgYLtzooC/ey%20xWu8331TpNfPP5BwK4JQ4wKJp6icUQcWblW+fPmCQfnw4QMOj82bN8eBF/bHjx9xUiN6MCYAC7c6%20KAt3bCSeu0rM6c+wLNxx0b59e39/f1FgTAkWbnVg4VbG0dGxuynRt29fYSUchJJiqzRCK+EODAw8%20e/bshQsXRPk3qDxz5gw9uOXh4XH+/Pnbt29T02k5MBS3D+qVDh06sHCbJizc6qCZcN+7dy9VqlTz%20588XZT1w9OjRbt26iUJMYL9T+UCKr6+vms9qxoapRdxSfXKSpBkSTH+bJkzqAZwGDRrQSjKmBgu3%20OigLd/n2k9vaOitSG9srK9dtRX2MEXfBggUhnfRaEjc3t969e1+8eJG+B0t736RJk27evAmJv3Tp%200qdPn1BEJXaWPn36vHr1ysHBgb5KmDZt2uDg4CpVqnz58gW7NuKwNWvWbNy4UfHKlMqVKyNHCPnk%20yZPMmTNjoVj0z58/x48f7+XlheMHWjNkyBAaGtqjRw/M39bWFlGdn5/fqlWr0ISVOXnyZKFChWDH%20+/oUFm4FWgkoRc0qKszCzagDC7c6KAt3ubYTW88+r0itZl9cuS5KOGIU7iJFiiBHUAx1hsju27cP%20xcaNGyOn3fDOnTtPnz719PSkhzPxcyAHjo6O0HGcyNOeS7szRWY5cuRAjnpoNKQZYv327dvRo0dD%20hW1sbNBEnw7H0QKts2bNgojTng71Rz506FDkjx49un79OkJvOorQynTq1Ak5C7f6aCWg+OUGDRqE%20gzPd8klMmDABnoRjcteuXQMDA8eOHbtu3boFCxbg18Kvu0kOJhS99QwLt8nCwq0OGgu3Pihfvryw%20jAQLtwIDRb7GgoXbZGHhVgdl4b527fqNGzcVCSX6A5fBhNvosHArMHPhrl69urAYE4OFWx3U+ePk%20rl27hGXu7N27V1imAQu3vkhUO7m0YOFWB3WEO/FE3NqTIUMGYekCFm59YZY7+cmTJy9fxg+nSVL+%20eIpxYeFWB2XhnjRp0Ny5oxVp3rzRx48fQz0Lt/qwcEsDs9zJT5065eT0HzlWM0VEsHBLDGXhXrhQ%209QfduHEK6qML971795YuXern55cqVaqAgIB06dLRmzRCQ0Nr1aqF+iRJkiBHpUwmi/6Sv8+fP+fM%20mRMdzp8/X6lSJcwhefLkmBZNz549s7Oze/PmTbNmzdBh9+7dKVOmpKmIiIgImj+9auLKlSvv3r3r%201asXKmmedOefgm/fvmEdFC8UgpExY0aVZy+2bo266xErY2trSzUx4uHhMWLECFGIBRZuE8XJyalV%20q1bN5cCAyyJv0aIF3Q5lHrBwi1kkAjQTbnd3d6qEJv6Uv4fP0tLy169f2BfoFl56JR6AzqrcmwvB%20TZMmjSj8xtvbu379+jAmTpyIHPrbpk0beUsk1L9YsWJkK7hz587ly5exDz5+/NjX15cq8+TJQwbU%20nN7YB7A+UNtu3bpBsr98+eLp6WllZYV6uou8RIkSyOl9kDdu3Bg4cCBWuEqVKijS+kyZMuXw4cNd%20u3bFtB8+fBg+fHh4eLijoyOW++rVK3RQgYVbcPfuXWEpcejQoYMHD9LtHC9evDh69KizszM10avf%20YZAD6RUc6g32xQZDYkThxt7SqNJf9csXUStVKFI8f7b79++Lif8LC7c6KAu3ra0sJOT/CT/ounVR%20MhpduF++fLlu3TpR+A3EmkQcux5s5D9+/IBB+6ny/vj06dN8+fKhBmrYpUsXqkQUT/eGAwTpEG50%20OHHiBIJr5WkBioonpXPnzg2Vp0qFcCtetQqwdAqTe/ToAVdBEcKNzuXKlUNO36pt2LAhoukHDx4g%204kYHUnNE7ojW27VrB6W2t7dftmwZhAUrg71+8uTJOHJcvBj1zlsVWLgFdGBUxnQewHn//j0Lt3LS%20XrijnsS7vvrnxaVqps1TumEvFRP/FxZudeA/TuoWFm4BC7fhYeEWs0gEqCPcK1askMRtr8+fP/c3%20NizcUXz48AHqvHjxYlGWM2vWrCVy+vbt+/379zFjxixatOiff/7ByQv21aVyBg4cKHrrExZulcTC%20LTlUhPvXf5OC2rVrC8uE0fJFpiYI/3FSL9y4cWPQoEGiYEYYWbhvrgm/tEzNtGVKdxZubfjPHyeH%20tFQ+KAacnHvubNSLNkF04fb29n737p2HHFGlHl+/fo3+x0mdwMKtQ7A/my3Ozs7Dhw8XBe2AYDWZ%20eLDhmF0JTU0nHU6ZPquYi44wonB//PiRtEBNXr169UN+G1l0WLjVQWPhBhkzZqQ/G6ZMmTI4ONjX%201zd79uwymSw0NPT169d16tSBjQ5WVlapUqX68eMH7B49epQsWRLdMNW1a9eyZs2KE2j5zHQAC7cO%20wf5stuhQuEuVKtV+3jXlV/yomTrMv5E6U9Q71XSIEYVbh7Bwq4OycP/Tt/H3fxcqku+x2WdPOVFT%20bMJNt5EMHTr08OHDSZIkoXpIMzS6efPmsBFf582b9+XLl2fOnFm6dGl4eDgUHHodEhLSrFkz6q8r%20WLh1CPZns4WFWyWxcEsOdf44Cfgat1Fg4dYLLi4uZincZ8+etbKSpUqlSereXTw3YXRYuNVBTeFu%2027bt5cuXRcFksLa2FpYcFm4dYs7CvW3bNl19vcmkhNs8YOFWBzWFu02bNidOnBAFkyFfvnzCksPC%20rUN0Jtz0Z5DoxFavJw4fPlyrVq0aNWogL1y4MFynZs2aKO7YsUP00AgWbp0zatQozYSbvpWVSFAW%20bosczWT5BqimpOV+/ghBq8pLHb59+7Z69eorV65Q0cHBAUUYe/bsQa5yq4+fnx99CRY8fvw4derU%20MB49enTjxg2q1Iz8+fMLy0yRsHBXrVqVDMXjsNmzZw8KChowYABsDw8PermBUdi+fTtH3NojS5VX%20Zj1Alr+vTlN/Weoimgm3zDKTzHpQ1EyyNTl2LOr1eGbMf4Q7eyNZPhvVlLR0jMJN/Pjxgx52g1LD%20xlkOBLp79+7YSTF0WbNmnTFjRr9+/Tp37nz//v3w8PDGjRv36NEjV65ciLfq1av39u3bKVOmNG3a%20tGPHjvRRynnz5nXp0mXkyJFnzpyRLyEuWLj1hw4ibhzVoc6Kr5flzp0bwk2P2Lx8+ZKenDQKLNw6%20QZYqjyx/P1W90DJBdlMX1lS4M8ryI9i0kWVtxMIdt3B7enoiP3jwIE5AQ0NDId/nz59HDd0xQu9p%20AjhPRXy9atWqkJCQnz9/QtBRuWjRojdv3ty+fXvmzJkRERF//fUXKqdPn449Ovrz0jHCwq0/dCDc%20+F3hNAUKFKBi5syZv3//3r9/f9heXl5jxoyhesNja2u7bds2UdAOFm5VvUhoytsna/H2siSFZBZF%20opLlXzKZVSFLy7+SJ0tQKpY8OUJImWXRqJnIsiNapMd0YwTS4+bmJjZDmigL99LlK1etWaeS7Bct%20prdEIRAe/l/+/vvvadOmkY3dULkGOaJm5AioqYgmhQFpJhutNAlWA/moUaNatWoFA1SoUAF94gY/%20lLA0hV5IZ7LwNW69MHv2bC0vbStg4VYV4oQm6wF0zm5I3N3dod2iIE2UhTtuDD+8BkARDpom5iDc%20JggLt05g4TYiLNzCMklYuPUCC7dOYOE2IsrCvTd2rl69Wq1aNdFPiVOnTnXo0GHjxo1du3aFLWoT%20jqOjo7B+ExISQh+m0Sss3LFhzsI9ffr06A6nGYOHDKlSpUrVhENTiblIE6ML97R/bGUp0spSZ0hw%20Spc5TZ6CqXNba5nS5CuUJUsWsTaGRVm4oc7Cisa8efNq1aolCr+5cuXK4MGDRUFOyZIlkVeqVOnX%20r1+IRc6cOXP9+vUlS5aEh4fXqFHD1dU1NDT08+fPAwYMgCTRDAsWLIi8fPnyyO3t7XEsHD16tIeH%20x759+w4dOvTz588SJUoEBQXR9xYwT3To2LHjwoULv337tn79elRqAwt3bJizcPft2zfGr2AwCcLo%20wj3r76lFx80ra7vBWKnikt2y3y/6MDDKwh3HXdWQ1OjCDaytrenBnLt3796+fbt06dJUD+jGkjdv%203ly4cAEGAvZnz57Rx2igvN7e3nQ/GL1ev2LFij4+PgjbYXfu3BmtR44cQaR/7dq1xo0bozJTpkzI%20K1eu/P3791mzZmG2KMb9iUh1YOGODRZuJh50I9xImIkmqb8sZdESE+xVxNSQyUSEO27oS4xmBgt3%20bOhGuFVuHVEuGvGuEhbueMF5cbYCaSs0y12+aa7YUoVmOcs3zpKgVLBs2nr16nXTBd27d8cJeIkJ%20C1TE1JBJEsKt5r3V0kLlk/CmhlSFW/HWCPrDyMePH3EaBQNnUnQf99u3bydMmBDVw1DQeykBbBsb%20m7Nnz1JNWFgYdWCUwflvw76FVz1su8K1jQ7TwOVVMPJiGVrzzz//sHDHjSTeDmhqJEuWTFiaIu2I%20u1ixYt++fSM7NDS0atWqgYGBxnpyMjg4GGIEQkJCataseePGDV9fXxT9/PyMGPubLBgZFu54k4kI%20d93s2Xvlz6eS2mX989rVqyzcGpB4hRsn2sPl701VbICrq+uoUaO+fv3ar18/FD98+GDEJydxtv7i%20xQtRYGKChVudZCLC3TBXTpUXACB1yZE9DuEuWrRoihQpNm/erP4jiBjtN2/eaCZqAQEBwvpN27Zt%20M2TIgHWI+yu9X758EVZMLFmyBDlUhYq6IrFH3HFjxDiXhTteJCHcs2bNKjRgYrExdsZKJacskZxw%20u7u70zdulMHp786dO11cXNAaFBREyjV48GDYrVu3dnNzQ32fPn3Cw8PLly/fpUuXoUOH4hz6+vXr%20R44cwa9w7969nDlzYrYVK1bMlCnT2rVr69SpM23aNAjr5cuXGzRoQN85a9OmDU7BMR/5MsWHeJ4/%20f169enVLS8vGjRv37dt3woQJUHkYt2/fPnfuHJQdPTFnrEny5Mmh4zNnznR0dDx8+PDdu3cxCPPm%20zaO/vrZq1Qp9/vrrr23btqVNm3bFihXVqlWjh/4TCgu3icLCHS+SEO7EjIpw9y9YQCV1jT3iTpMm%20jSJKRQfI7v3799++fQvthkAjoiKdTZo0KXJfX19IsJeXF73Xs1KlSsg3bdqEqSD39EejdevWHT9+%203MHBAXaZMmWQd+7c+f379/vk4PR68uTJmAPdBbhx40bkQPEFNdCxY8fv37/DgIJDbcGwYcOQo4j1%20SZUqFZqwJnv37qU9d/369U+ePJk4cSLEunjx4jiK0O2Jx44dO3XqFK1Dz549sVEwEgoLt4mCqOHj%20x4+iwMQEhLvpkL82v+u8yaOTDtOIjTVYuHWCsnDHgaSvcUO4raysRMGAsHCbKPnz5w8ODhYFhpEg%20agp38uTJIUNMgkidOrWw4qNt27ZioP8LC7deYOFmpI6awq2rd/IwMRLbc0As3HqBhZuROsrCPWBx%20VZW/JSCtftxuyLRO+2L6igKjK8xZuFXuHjGFm6atra2DgoJEgWEkiDbCbWFhQbfZPXv2jGoIertI%20bGTMmFFYuqZRo0bC+k2TJk2EZdqYm3BfvHhR8eYgen8YULxHLU2aNGQYC7N8QzGTqFAW7kHLqkGm%20VZLD8w6xCfebN28ePnxYrVq1u3fv4tTTzc2NPhRJAtq0aVN5r6i92NXV9eTJkx8/fgwPD4dwR0RE%20VKpU6c6dO3ny5KE+w4YNQ37jxg3MAat0//79+fPn29vb79q1a//+/ZiqR48e6IBQCQvauHEjpk2R%20IsXUqVM/fPgQEBCwadMmtNasWRP58ePH//33X5I8Em4cYJDT3vrt27dOnTrRnX9Hjx5VOeQYCzOM%20uFXekIBfiN5GRpw/f37x4sWiYBCUI/0kRrr3lmF0hcbXuF1cXBwdHSHBsMuUKRMSErJ+/XpILYqZ%20MmWaPHly6dKlb926hf3F1tZ28+bNkFcIKHZeCCh0uX379pcuXdq9e7d8ZlExOyIz1Bw5cuT69es2%20NjZkjx071s7O7sGDBxDlFy9e/PHHH1+/fs2XLx9ap0yZ0rZtW8g6ZLp///5YEyy3ZcuW6L927Vr6%20hjj69+vXD0v8/PkzVsPBwWHmzJnfv38vVKgQjiWzZ89et24drYBxMUPhrlOnDnLyDzjZvXv3li1b%20Jm+Jonfv3nAOUTAILNyMOaGxcDM6xGyvcZNwR8e4V7pZuBmpo6ZwoxuiY4ZA/C7GRUeY8x8nTZC4%20X4/AMKaPsnAX6D2q7MIdKqnMsn2XXVz4zznK6Pz8g4XbcISGhubLl08UGEaaKAt3wR5DVd5+hVTG%20fpvzlSss3Mp07dp1oU5R/nKQMizcuoeFmzED1BHuI8eOxfjIO8lNx44d43j3XmySFBvlypUTVpxY%20W1uHhISIgsEx2BV/Fm7dw8LNmAHKwp2zfsvC/cappIIDJh4+GrNwgwEDBlhaWoaFhdHbnd6/f79t%202zbU58+fnzrQPhIUFPTx48dOnTqdP39+wYIFqPn69evVq1dhjx8/vnPnzq1bt5Z3jyxSpAjyYcOG%20eXp6nj171sPDo1ChQpjtmjVrTp06hSMEfSAYwh0eHv7XX3+NHj0akwQEBBQrVgz19BopeqUUzfPl%20y5dnzpyhe4hXrVqFXHtYuCXMjx8/8ubNKwoMI02UhTsOYhTuqVOn9u3bt0yZMtgXnJ2du3fvPmrU%20qKZNm06ZMiV9+vTocEV+jWXw4MEwWrZsOWjQoObNmwcHB6MSE6LSz88P4gv70qVL6H/nzh1o7v79%20+7FnYeYDBw7s2bMnhHvWrFkVKlSgG8P//PNP9E+SJAl0HHNo3749inZ2dilTpnz69CnmvHatA/Jr%20165lyJBh8uTJbdq0qVOnTrNmzcaMGUPfj49ade1g4ZYwr1+/rlu3rigwjDTRRrgTLSzcEgaHbvZm%20RuqoKdyIlJswvzl06JAYFz3Dwq17WLgZM0BN4WaMAgu37mHhZswAFm5ThoVbZ3h5eV2+fNnZ2Xnz%205s01atS4desWiuDdu3eiB8NIBxZuU4aFW/dcu3atd+/eosAw0oSF25Rh4dY9LNyMGcDCbcqwcOse%20Fm7GDGDhNmVYuHXP1atXWbgZqTNhwgRhMabH7l27hGVwzFa4Dxw4MH36dFFgGIYxI8xWuA8ePMjC%20zTCMWcLCzTAMIzFYuBkzIWXKlMIyIwIDA7t16yYKDPMbsxVuBweHtWvXioL+6dixo7D0Sc+ePcPC%20wkRBR8ybN+/t27eioGu2bdt2+/ZtUdAz9LFww1C9enVh6RkId6dOnUSBYX5jtsK9atWqjRs3ioL+%20Mczj9U2aNNG5cE+aNOnVq1eioGtWr1595coVUdAzhhRua2trYekZIwr35cuXU6dObWtrq5NXrTK6%20xWyFe926dUmSJJExDKMLkiZNashIiIkbsxVuA8MRd4xwxK0lRoy4XeTfIG7Xrt21a9fCw8NFLWMa%20sHDrBhbuGDGkcE+dOlVY+sdgwh0aGrp7925RYJjfsHDrhv79+wtLnwwfPlznsc+KFSs8PT1FQdfs%2027fP1dVVFMyIli1bCothjAELN8MwjMRg4WYYhpEYLNwMwzASg4WbYRhGYrBwMwzDSAwWboZhGInB%20ws0wDCMxWLgZhmEkhpkL98ePH2fOnGlnZyfKcjZs2DBnzpzr169T0dnZOSQkhGwd8uvXL+R/y1EU%20iVWrVglL19y+fTsgIEAUdASt+YoVKxQ2tmjatGmKog5RXsrUqVNp6MDKlSv/+eefhw8fUlGH0LJW%20r15NRQKVQUFB06dPnzVrFtXAheBIPj4+sF++fDl79uzFixdTU4Kgxa1Zs4bsHz9+YCQxZ0UTAf+c%20MWPG169fYT99+hSLW7ZsGTXJHUrVo2KD+jg4OJCtslG2traKjVIG/THad+7cgY1dA5PQGgIaB29v%20byoyxsLMhbtixYrIw8PDGzZsSDXz5s27f/8+jPHjx9NrzwYNGvTlyxd5o46xsrIiI3369GQQlpaW%20wtI12KXfvHkjCjqCdv4kSZJQUbFRGTJkIEOHyGTCIZMlS0ZGunTpICK0Ub169SIt0yG0dYqNUpA7%20d24yypcv37Jly4iICNhly5aFQY9NwmdsbGzkXRIALS516tRUzJo1KxkFCxYkA1StWpWMokWLhoWF%200btKEIJMmTIlU6ZM1JQ8eXIy4oYWp/illDeqRYsW1FqmTBmqJKDLOFTAGDZsWGBgYI4cOai+dOnS%20bdq0oQd3K1SoQJWMsWDhjsTuZzbCPW7cOJ0LN2Guwk2kSJFCWL/Rk3ATadKkIUPfwk1kzJiRDBZu%20s8HMhRun2927d+/Zs6ezszNOPydOnPj69et+/fr16NFj1KhR8MtPnz5BVVu1aiUm0Cnz58/v2rVr%20t27dduzYcfjwYXqfiaOjI+Rp4cKF1EeHfPv27c8//2zUqJEo644lS5ZgnbEVsBUbtW3bNmrVFStX%20rsRSNm/eDHvBggVYCtiyZcujR4/69OmDnwyHpR8/flBnHQLHwHLxA4mynFmzZmEb4TzHjh27cOEC%20XAg2TmggdhMmTIAN1b569aronRBmzJiBxZ04cQI2jkm0lAMHDlArcHJywsaifvr06VgcIgwUsThX%20V9ft27ejHsNib28vesfH5MmTsbizZ8/CVmzU8ePHz58/r9go6kk8ePCAdpAxY8bgsDF79mya5OjR%20oxcvXqRJDPk+LyZGzFy4lWnQoAFyijIMD3ZCRCvGWjrDMOZEIhJuhmEY84CFm2EYRmKwcDMMw0gM%20Fm6GYRiJwcLNxIOMUQMxWAxjENjhmHhgVYoXHiLGwLDDMfHAqhQvPESMgWGHY+IhNlVCvTL29vad%20O3d2cXERzXIaN24srN84ODio//BI3JjO83vYfGExjEFgh2PiIW5VUpZmKDKEu0CBAvRknaOjI7X6%20+vqiEsh7RXVDLld7GXoqTwKUe2bMmFExB3RWOQzgOIGcljJkyBDFVDGCycmgmTg5OcHAQulxcEyL%20OcjbNUExc4YxDOxwTDzErUrKYkrCDUNFJZX7AAiu4u0ZKpOoLAtiqpgWhoq2qiwl7kBepbPCiL7O%20GqDNtAyjAexwTDzEoUrQPrQqOpANKSSDQD3FyxRTKyrJIBSToB7BL10DoUqKo6H1sJWvjUBt5VMI%20FEXRHA3MB620Jq9evZL3/f9UyiugARpPyDCawQ7HxENsqhQ4dGjQ3LmGT2LxCUSvF8RZuBkDww7H%20xAOrUrzwEDEGhh2OiQdWpXjhIWIMDDscEw+sSvHCQ8QYGHY4hmEYicHCzTAMIzFYuBmGYSQGCzfD%20MIzEYOFmGIaRGCzcDMMwEoOFm2EYRmKwcDMMw0gMFm6GYRiJwcLNMAwjMVi4GYZhJAYLN8MwjMRg%204WYYhpEYLNwMwzASg4WbYRhGYmgl3LLfqNhxQB/3EwWGYRgm4WirocoqrKYis3AzDMNog16EO6Mc%20X1/fV69eFShQYKoc1MOmj23D7ty5M31y29XVFUX68DYqYaMGduPGjWE7OTnB1uuXXhmGYaSFDoRb%20GdSQRgN7e3vkVBndUCnSVMgdHR2pBlKuaEUlcoZhGAYI9dQYhf4ChY2wGrKbIOGmzgowB6pBVI7g%20nYWbYRhGgVBPjVHoL1BR5AQJt6Lo6upK0TeJtZOTE/IhQ4ZEtTEMwzAQTPG/RkBtCWWbrnUgUkbU%203LhxY9h0tZquYkPNUXRxcYnq+htU0nVtxaVw2HS9u0KFCop6hmEYBmgl3OHu7kFz5xoozZsnlsow%20DJO40Uq4A4cOVZVXvaWwe/fEUhmGYRI3Wgk3wzAMY3hYuBmGYSQGCzfDMIzEYOFmGIaRGCzcDMMw%20EoOFm2EYRmKoK9xRz8lIDbHqDMMw5oXm6ta1a9cUKVIkSZIkadKkVlZWopZhGIbRMxoK969fv5Ar%20R7WtW7f+/v072dSqbDAMwzC6QqvrCcrCvX79+rt371aqVGnTpk0oli9fnt4SNWDAgNWrVwcEBHh5%20eRUsWBA19+7dq1GjRs2aNevVq0cv4y5QoICfnx+rPMMwjDroTLjXrl3r7Oz87du3nj17ovj+/ftZ%20s2blypULfVasWIEaUm0U0W3//v3h4eENGzZEjaWlJfIcOXIgZxiGYeJFZ8K9YcOGixcvInAm4fb1%209R0/fjyM7Nmzy9ujOtepU6dr166KIhmnT5+uWrWq8qwYhmGYONBQLqNf427VqlVQUNDXr19JmhFr%20J0uWDIZCuCmmrlSpEvJx48Y9fvz42rVr7969o5nkzp0bOV8tYRiGiRfN41wIdMqUKZPKUb6rZM2a%20NdDikJCQ+fPn582b19LSki6V3Lt3jzQaITYMTIUc2v3jxw8YKVKkUEg8wzAMEwdaRdzK6CRY5oib%20YRgmXjSPuBmGYRijwMLNMAwjMVi4GYZhJAYLN8MwjMTQXLi9vb3fvHnz8eNH2O7u7q9evfr58ycZ%204eHhL1++hB0WFkadGYZhGF2huXAfOXJEJpPt3bsX9rhx4zJmzOjn5zd06NAcOXIEBQX16dOnQIEC%20AQEB1JlhGIbRFVpdKqH7sgFC7GbNmsHw9/enJyc9PT1Hjx4tb2QYhmF0iVbCnSRJEnd397t37968%20ebNly5aoQYjdr1+/X79+nT9/ftGiRdSNYRiG0SFaCXfSpElXr169cOHC+fPnt2vXjirt7OzevXsH%20TaciwzAMo1t0c6kkLCysadOmZM+cOdPHx4deVGJ0IiIihMUwDGMuaC7cb9++hXC/fv0a9qlTp0qV%20KhUcHExNiMSRG/359R8/fhQvXlwUGIZhzAXNhfvixYt79+49e/Ys7E2bNm3fvh2BNjUdPXqUDOPy%20zz//4NCydu1aUWYYhjELtLpUYsp4e3sj3IZwV6hQ4du3b6KWYRhG+pitcO/evRuqTTg5OYlahmEY%206WO2wp0lSxYh2zJZiRIlRC3DMIz0MU/hPn/+fM2aNRs0aJAyZcpmzZpVr1798ePHoo1hGEbimG3E%20TVhbWwuLYRjGXDBn4Q4JCcmXL58oMAzDmAss3AzDMBKDhZthGEZimLNw//jxI0+ePKLAMAxjLpiz%20cLu7u9erV08UGIZhzAVzFu5Xr17VqVNHFBiGYcwFFm6GYRiJoa1wv3nzRli/8fPze/jw4fPnz6no%20KodsT0/PR48eKSa5L4dsfcDCzTCMWaKVcPfu3btq1aqiICckJGTEiBG2trazZs26cOHCtGnT7OQM%20GTLEx8dnwoQJaJoyZcrr16+HDx8+V8748ePFxLqGhZthGLNEK+EOCAhQEW6E2/TNyffv38+cOTNd%20unRUb2lp+fjxYwcHB9hHjhyBpst+f4TBwsKCDJ3Dws0wjFmi7aWSKlWqCEuOQrjfvXuHoDt9+vRU%20nyxZMgg3vRr78OHDysINTSdD57BwMwxjlrBwMwzDSAxzFu7Xr1+zcDMMY35oJdzHjx/PnTu38vdl%20vn//PmjQoGPHju3cudPR0bFjx46n5TRs2BBS/s8//xw9enTx4sUPHz5EDTU1b95cTKxrLl++3Ldv%20X1FgGIYxF7QS7v379x86dOjjx4+iLOfNmzd79uw5ceIEFaHgO3bsIPvOnTv79u27cuUKFVFPTXr6%20rLCLi4uNjY0oMAzDmAvaXioxZVi4GYYxS1i4GYZhJAYLN8MwjMRg4WYYE8XJycnCBBgxYoRYIcZk%20MGfhvnv37oABA0SBYaSG4q/6xqV27drCYkwGMxTujRs35s6dO1euXFmyZEmVKhXZyNevXy96SJaq%20VaqWTDgVKlSMiIgQs2CkAws3ExvmHHHfvn170KBBomAWVKta42dg5DefUPVTiH9k65btWLilCAs3%20ExvmLNz79++fPn26KJgFVatU/+od7OXhq3767BXYsnlrFm4poj/hDg8PDwsLE4X4YOE2QcxZuPfu%203Ttz5kxRMAtYuBMV0YV706ZNMpksVapUWv6gKVKkuH79uijEBwu3CcLCLSVYuBMVMUbcbdq08fPz%20E4XIyODg4Ldv3yKChh0UFASb6gMDA9+9e0f258+f379/r5gK9RcvXlRfuPmFPyYIC7eUYOFOVMQr%203L9+/aK/4lBQbG1tjRwhubOz8z///AO7V69eQ4YMyZ07N9Wj/4QJE2CXKlVKfeFOnjx5ayYaDRs2%20PHfunBgjg8PCLSVYuBMV8Qr37du306dPnyVLloIFC6JYo0YN5GnSpLl69WrmzJlRX6hQIdRQyAz9%20hXAnSZIE9qVLl/hSiZZ8+/Zt//79omBwtBXumzdvKl4aReC87MaNG4qPScKHANkeHh7o7+bmRkV9%20w8KNxMItXWIU7nbt2vn7+8PYsmULfQIQ9qxZs5CPHDkyT5487+SsWbMGNf369UNOygvhRk5vUab3%20d8JQBxbuGJGqcNMr/XB4X7RoEdWA4OBgeNKyZcvs7e1Pnz49duzYFXJsbGy8vb0nT568dOnSGTNm%20KD4frFdYuJFYuKVLdOGG2v7111958+bNnTt3qVKlUHPw4MECBQogHoJdqVIl2CAgIAA7Gozv3793%207ty5dOnSd+7cKV++PKk56rF7vn//PmqOasDXuGMkKCjo8OHDomBwtIq4kyVL1qRJE1GQo/iQAn1z%20MsYPKRw5csQwRyoWbiQWbukSY8StQo8ePax/U7BgQRVDJ0D3hcUogeNfkSJFRCGBpEiRQvx+mqJt%20xH3r1q0FCxZQDVAIN07W4vgCjmGEG+GJnZ2dKJgFLNyJCnWEu2nTpsJipIPiK+oao4M/TuKALCwT%20E+5ly5Zt2rRJFMwCFu5EBQu3uWISwl2hQgVhmZhwL126dMuWLaJgFrBwJypYuM0VYwq3i4vLzp07%20Z8yY8eTJE1Elv2A/ZMiQXbt2rV+//tChQzY2Nnv37t23b1/r1q09PT3RGZPMmzeP/paib1i4kVi4%20pYujo+OB+ChbtqzozUgHYwr3/fv3nZyc7t27J8q/gUCfOHHiwoULVDwih+xHjx5hkjt37lBR37Bw%20I7FwSxd1nu9o1aqVsH6DXRIntadPn4b96tWrgwcPqn8DiZpgxTT7xve6deuQQweQ//r1a/fu3fJq%20dbl27VqNGjVok7dt2/b06VOqjw26SzI6X79+lclktFOof1tkjPz48aNEiRJfvnwRZfUwiUslJgsL%20N5LJCndoaGhIwsFUYvpEwL///ius2InxUkmjRo0wVmSPHj2aDN3Srl07YSUcrJ6wEkj58uWFpTWW%20lpa62il69OiBI4EoqAcLd1ywcCOZrHBbWVgUSZeuULq06qfC6dKlT5YsKChIzMLc0Vi4FY+2e3t7%20f/v2DUb+/PmLFi2Ks2HYXbt2rVat2vPnz2E0btz4+vXrCD/9/f3pCR3Ej5cvX16yZEmTJk3Q2lcO%20KtEEvn//Dtnt06dPly5dUFywYAG6OTg4PH78OGfOnP369StSpAiOGe7u7uiWI0eOd+/ezZ8/v02b%20NtOmTUP8e+jQobZt22bOnNnR0XHMmDGXLl26desW5pAxY0bMGcFv1apVUezUqRMtDqcOKBYuXPjn%20z5+rV69OlSpV7969UY84t1ixYr6+vp8+fapXrx42DefxT548yZ49+8CBA+k50rVr19rZ2d2/f79Z%20s2Z//vkn5iCfZaSNjQ3mmTRpUuwU48ePx9kDhitPnjyFChXy8fHJli3bokWLYJ86dapOnTpHjhxB%20rFC/fv3q1asfO3bM1tYW29KwYUO6zxhRP2aFwwkLty5h4UYyWeHObGU1pEjh/oUKqp8GFi74V/p0%202MPFLMwdZeHev//A2lUbli9ZTWnVcofRI8dAcWL74yQkDFIFiaHbdu/evWtvb79p0yboEUn5jh07%20oLAInNEhWbJkqIGaIz969KiLiwskfsCAAWjKmzcvKmvWrIkc9OzZE7PFT4AJAwICIP0rVqyA7qOp%20YsWKyCHizs7OWbNmJZfD5Lly5cJueOHChdevXx8/fhyV0EHkDx48uHLlCk2LzlDJsLAw6CAWmjZt%20WlRCnSH9MO7du0efTyNFJnA4wYa0aNEC3VDMlCkTchyfkFeqVAnHoS9fvixfvhyHBNRgY7G2MJ4+%20fUpXdynixvEGRykYbm5uOLRg2+vWrYvWq1evYhCg41hVHDBIl6H+Xl5eEydORP8yZcpg9LB01HPE%20rWMg3Js3bxYFs6BSxSqvnnk+vv9S/fTiydsmjZrTXmRSQLgHFS7Ut2AB9RO0G0F64hTuAwcO+n/+%20oTgef3r/bfWKdfhZYxPumzdvrl+/HnoNGxLWoEEDjBsEFGEjverk4cOHiCU7duwIm4Qb8TXy06dP%20I3p99uwZolFoKL2git6CAhAvY6GQxc6dO0Pc6VFMhL3I6e4yxNRQvT/++IPe9122bNkPHz4guEbE%20CqUm4cbhBDmUEZBwQ3wRoUP+unfvjoUiskYlVhjxLwycHNAFH2XhRk+sBsJtegFAuXLlkNOfaiHc%20CMbfvHkD4c6QIQNmiEq6yIYY/8WLFzDo0f9r165BuLGGkGDkGBx6vh+ViMQh3Firf/75B4ccVELE%20MSwoYgQQ7+OwQacdyIODg2GoDwt3XMydO3fv3r2iYBYMHz5iXMIZOnQo+a5JwcIdL9oIN4AmUjT6%206NEj6KydnV3Lli2pHqf8e/bsCQ8Phw0lQo4+CxYsQH2zZs0QR0+aNAnyh+A0adKkiKAhxBA1TOvq%206grNQivCT/wQ0DVMgh0NTYjxFy5ciIgVs8VhAyuGMPnly5e1atWaP3/+sGHDIL7QOLhi8uTJlyxZ%20gpC5X79+Bw4cgIGgFYE81rBIkSIIfrE+iIUxT0wI0Sd9xLkCJty6dStsiHXhwoURlnl4eJQvX37K%20lCk4JFy8eBGCiDVElO3o6Dhv3jzI+smTJ3HqgJUkfQe0+cixXWiysbG5fv061mHq1KlYELYL5yWo%20HDRo0MqVK7FRQUFBefLkmT17NlYPuxI2B3KPQ8u7d+9wrMKsEOZjWTRzNWHhjosJEyYobm5hTA0W%207njRUrgNTJkyZYTFxAcLd1xMnDgRZ0aiwJgYLNzxoiLcQX4R3u++Ufry8fvalRsg3E3++7IgY3Hl%20ypUcOXJ8/vxZlJk4YeFWBa5DFweGDx+OEKB169YwcNazatUq0YMxDVi440VZuA8fPbpy6dolC1dQ%20WrZ49YTxEyIjf3Xq1GmUCTB58uRZs2Zh1xNl/dChQwcxHBKHhVuV8PDwjx8/fvjwAQo+ZMiQ/fv3%20+/j4eHl5JfQOeUbfsHDHi7Jwx4bpXCoxAPRXTTOAhTsu+Bq3KcPCHS8s3CqwcCtg4WaMAwt3vLBw%20q5A9e/buJkOPHj369OkjCgmE7r/UBhZuxjiwcMeLXoWb7uCODt17Fy8bN27U7BFWyBZ9k14DTOoo%20FRERceLECVEwOFoJN2QRvkWPJCn4+PHjuXPnFN+ZPHPmDL3vBjx//vz8+fMPHz6kor5h4TZlWLjj%20RWPhdnBwKF++/Lt370RZ14SGhpYqVYoe5IkNGxsbYf2mbdu2wtIUk7pUItVvTs6cOXPDhg2bN2/u%201auXqJK/1nXo0KGbNm1auXLlsWPHBg0atHXr1m3btnXq1MnLy2vatGk4UM+ZM8cwLwgcPHgwPTnG%20mCAs3PGiLNyXLl0eO3/H2HlbFWnwxLlhP3/EFoQOHDgQ+fHjx5s0aUJ36a1atSo4OFjxNkGc6ZOB%20DtgryQbYZ5HPnj378ePH/fr1wx7dokUL5J8+fXJyckJn+ti34mPzzZs3p+fREZ/hUIHily9fxo4d%20mypVKixx5MiRLVu2xHIRaGfIkGH37t2QC3ocDGtOUf/ChQshgrGdASjDwq1Ac+HGmQIZsX1Iwejf%20nOzWrRs9q8qYICzc8aIs3Lsc97Wzv9XW1plSOzvnSl1mhwQFxiHcP378mDFjBmyZTBYSEoIY3NHR%208cmTJ7du3cJpsaWlJQQ0c+bM6ECvBAE4J86ePTtGOGfOnDhpXrZs2a5du6DUEOJZs2b17dtX0ZmE%20u0OHDsihp8i7du06depUSDyEGB2qVKmCHBMiPF++fDnsunXrBgYGJk2aFMulV6Dcu3dv/Pjxf/31%20Fz33SA+jxwELtwJtr3Hj6Kp8UUxZuI3+BRwWblOGhTteVIS7zdxrrWefp9TmnwsVO82IW7gxOV2x%20RAgFlYHUQso9PDygxZBOCwsLxF70VhAF6PDHH3/AoDdGrVu3DuesDx8+xGk05gYdRyUFaiTcOAAg%20lMYhAYatre2NGzdwhECUjQ6VKlWibmvWrFm0aBHsWrVqIaeXhEC+kWMF8ufPX69ePdg4nCCihxEH%20LNwKtBVuhM8HDx4UBRZuRm1YuONFG+EeMWLEz58/SYVTp04dHh5O70rFHkpvHYFwI6fIV5ksWbIg%20r1q1KvKdO3ci3MZOhMD53Llz2KFQWb16deQ0N/rebOXKlRFKL168mD6GNWnSJOSFChXCVCdPnnz0%206BG9iwqRtYODA91Q0aBBgzdv3uAocvnyZXq5FRbk7OwMIw5YuBVoJdw4YNKvqEAh3O/fv+dLJUwc%20sHDHi8bCfVrO58+fET/RC/nAmTNnIL6IaiGmnp6esBEmox4dzp49S33c3d2x0Ldv36Lmzp076Akx%20BZjbpUuXZsyYQXMLCgrC3NABuzlqEGjfvHkTk6ASMT46I3K/du1aQEDAqVOnELAjx5Hj4sWLUGos%20l77IQ2uC2B9TQb5RhCFfi1hh4VaguXDjp5LJZPiZkYuq33+cXL9+/fLly/GL0h8qQZcuXT58+PD3%2033/j5Ouff/4xzN8MWbhNGRbueNEm4tY5UGfs16JgJFi4FWgu3E+fPr1+/TqOwzhaiio53t7eqMTP%20TEUcYAHZL168QGeE3lTUNyzcpgwLd7woC/fO3ftazb/Tco4LpVa2V8p2nGVI4abXZ4uCkWDhVqDt%20NW5ThoXblGHhjhdl4f706dP1GzdvKKebN3/F/gUcs4SFW4E5C3f37t1fvXolCoyJwcIdL8rCHRss%203MaChVtfNGvWTOWpTsZ0YOGOF3WE20Tex20YTOooxcKtL+rUqYNzSVFgTAwW7nhRR7hbtmz5LNHw%204sULYWkK3dCiE1i49YVZCrfZbBELd7zwpRKd8053729h4dYX5hpxY1/Nli1bzoRTvPh/HpMzLizc%208cLCrXNYuCWAuQq3/MZ5TVLjxshNBRbueFEW7itXnOfNGz137v/TpElDQkNjfckUEyMs3BKAhVsl%20NWyI3FRg4Y4XZeHesmUdfsFfv/6fDhyQ+foGS1G406dPr3hFnfrQK03ioFmzZvH6Bgu3BGDhVkks%203NJCWbi3bl2v8msePBizcGN8/vjjDx8fn5w5cx49etTPz69du3a0I2zfvv3z58+nTp06ffo06jt1%206qR4L6Ay6E8dUqZM+ebNm02bNm3YsAH1UNsBAwagvk2bNh4eHjDy5s1L7wJUEBAQUK1atTlz5sDG%20msyePfvkyZOvXr0aP3488mfPngUGBlJPAmuYJk0aUZC/QeXIkSOiICc4OHjUqFHh4eFlypQRVTGB%20DaxUqZLKzKPDwi0B4j1ESxQWbjELc0cz4QZ//vnnjx8/IKwZMmRAMVWqVPTRmebNmyN3cXG5cuVK%20VD/5925U3hDy+PHjFi1akI05XLhwAdMqXt08f/585FD8r1+/Ug0OEt7e3mQTQ4cOhXY/ePAA9oIF%20C2jR06ZN8/X1lbdHfXFREVFdunSpZ8+eOMzAxkHl+vXr9KB1+/bts2XLBsPS0hJqjtUoX778tm3b%20/vrrr6jJ5G8ftLKyIvvOnTvJkiWrUaMGhPvJkyc43uzatYuaVGDhNlEGDRoEV4aDtmrVKlOmTDBw%20AtWvXz/RbBawcItZmDvaCDeiYzTt2LEDRUS19+/fh0Fvm1AWboTDkydPJptAsLxnzx5R+E23bt3C%20wsIQC9PgKwt3o0aNbt++TTYxZMgQ5FiHL1++QLipUiHcWDEIsbJwY84UdJcoUQLrBuE+f/48iq9f%20v+7QocPDhw9pDQsVKoSeM2bMwHwmTJiAowVmRa+lxeohr1KlSlBQEL2QVuU8QAELt4ny8+dPxBpE%2048aNQ0NDYaBSNJsFLNxiFuaONsKNUVJ2e2jlqFGj6MqysnDb2NjQW14VoDh27FhR+I27u3ubNm1m%20z55NRWXhRlzs5eVFNkHCjWUlSZLE1taWKpUjbhXhRg7lffnyJQLny5cvQ7Uh91h5gGhdIdzlypVD%20PmvWrBcvXiAsg4ijWKpUqU+fPtnZ2cFGmI+IG8stUKCA8me5lGHhFjcU37x5k4oK3r9/jyOzwucO%20yCEbZ09wi1u3blFRr+D3a9mypcI/zAljCTf2ilx/ZmhYoUj98mqlJpWLRn/dswIW7nhRFu7Nmx3w%20C4aEiBQaKtu9W/b5c1Bswo2QRRTkIESlr+EAEm7sGn379qUXL6vsJghjr127hspJkyYpmsqUKaN4%20XzaEG9E0mooUKbJ69WrUKM+BhBv4+/vTh9BAlHDLv6AGVIQbdkhICMXOEG5E3J6enk2aNEF9//79%20X716BRVesWKFQrifPn2K9Yd2Y/59+vRBJY4Q6Jw/f/7BgwfXrl0bmk5xd3RYuKOoWbMmhkkU5GCn%20wtjt27dv06ZN2KoePXocltO8eXN6Q/fevXvt7e2vX78uJtAbEO4WLVoo+5PZYCzhxn4yon2tyFtr%20I6+tUis92ZIyZUoxcTRYuONFWbiDgr7fv//kwYNnlFxdnz55EvXtxxiF2/BAxcRbPwsWjPT2jjxx%20AvIc+eVLJKQNRmBg5I4dUQYOJ+vWRRkJv6tEJ7BwC+jLcgr8TOYLOCzc0ZP2wj2kTY1fzit+Xlyq%20Toq8uy516tRi4miwcMeLsnDHhokIt1Rg4RawcBseFm4xC3NHfeEOMnlCQkJohY0LC7eAhdvwsHCL%20WZg76gh3s2bN8Lso/oxksqRLlw7raXRYuAWxCTdd0cavRfUk3A4ODrAN881JFu7oiYVbWqgj3ISj%20o6OwTBWFFJgNEhbupUuXZsiQwdPTU5TljzkNHz588eLF8+bNO3v27IQJE5YsWYJuffv29fb2njRp%200qJFi6ZNm0Y35+sVFu7oiYVbWqgIN1xZOSnDwm14JCzcd+/evXfvHvZnUZbj6+t7+/bthw8fUvGG%20HLLfvn17584dd3d3KuoVFu7oiYVbWigLt+PevV3ql+5cV6Qu9Uq3b1hdtLFwGwNpXyoxWYKCgjp1%206sTCrZy0F+6hbWtEXlkRfmmZOiny3noWbm1QFu6tWzZH3l77/4Oiy4qtswdH/Pbu6ML9Ro6Hh0eC%20rupif6EnXERZd7Bw6xat9mRTJjAwsGvXrjoR7h8/fixbtmzevHnzE469vb2rq46vCxlRuKsUzzdv%20UEu7gS3USUtGtLW0SComjgYLd7xoI9xeXl779u2DUbly5a1bt1KlOmzfvl0f58Qs3LpFqz3ZlNGh%20cOMXylO2caNxexqO2ZXQVGvg6pkzZ4oZ6QhjCXdERMTr168RxKnPu3dvxcTRYOGOF22E283NbefO%20nTCePXvWv39/GH369MmaNauTkxPs0qVL7969e9CgQQcPHkQlfYQXETrsqVOnQrgRrDRp0iRXrlzB%20wcFo0h4Wbt2i1Z5syuhQuP38/KyrtGsz51Lr2ecTmhpP2D9t2jQxIx1hLOHWLSzc8aKlcGfMmDFn%20zpzZs2f38fF59eqVi4sL6iHNOAArHtuBgnt7e1tZWWFPSZEiBWoQcaPztm3bHj9+jJi9Q4cO1FNL%20WLh1iwntybqFhTt6YuGWFsrCvXnDxuCrK77/u5BS0IXFG6f3j1u4Ib5kw2FOnDhBwj148GAId6NG%20jaipV69eBw4csLS0ROWff/6Jmg0bNrx7905xmhgUFESGlrBw6xYT2pN1Cwt39MTCLS2UhfvV69db%20tu3YvmMnpW07du4/8H/ViC7cu3btmjx5MsR65MiRdCUkTZo0zs7OZcuWhY38zp07EGtINirhUW/f%20vq1atSr6Q9NhIEivUaMGirG9HzWhsHDrFhPak3ULC3f0xMItLZSFO26iC7epwcKtW0xoT9YtLNzR%20U9OmyE0FFu54UV+4Z86cedL0UP7DJgu3bjGhPVm3QLi7dOlilsKdMmXK1KllqVIlOKVPz8ItJdQX%20bvmx3ORQflk/C7duMVvh/vz5c79+/cxPuHWyRaYAC3e8SF24lT+ZwsKtW8xWuD99+jRgwACzjLjN%20AxbueJG6cD969EhYkZFp06YVlrnAwq0XfHx8INyioB0s3PqAhTtelIX76fPnG7Y4btz637Rtz907%2099D6xx9/UDeTonLlyg1/M3ToUFFrLpibcCPINeLpfLdu3apWrVqjRg04TbZs2WBUq1atU6dOolkj%20WLj1gcbCrexdRvQ0A6As3Nt2HZblGSjLN+A/qcCIuXaL0Fq9+v9fOEVs375969atEfIvhB04cGDD%20hg2+vr6tW7eOccSaN29OBvq3a9fOzS3qo2jt27enSo0xzNdljYW0hbt06dL58uWD4ezsXKxYsZo1%20a1J9wYIFra2tw8PDjbVr+fv7Dx48WBS0IzEL99q1DvXq1auvaxo1aqShcKdPV6dOHZpJvcZtxVqa%20Kf8V7kOyPH1k+Wz+kwoMnmsXdZ91dOEGtWvXbtWqFdkrVqwgA8yZM0dYMbFz505dvauEhVt/aCXc%20P3/+RDxLRuPGjWHgNHbQoEH0CBagh2iNAl/j1glNmjSR5e8ny99Xx8l6YOZkMk2EO42VLG+vqDkU%20GGKaF3Z1iJbC3bFjx8mTJy9evBj2/PnzP378SCOWK1eurl27QqBxSM6UKdPr16+pHrFXly5d2rZt%20C+G+ceNG1qxZP3/+nCFDhhkzZhQuXBi7ko+PDw4GTZs2XbJkiTp7Fgu3/tDK9XHmNXz4cJyCQbjp%207QfQuGHDhsEzqIMR/yLBwq0T8LPK8kXTC+1T/v5aCHePqDlYD5LJkoi1NFO0FG66QlixYsVr167Z%2029vDtrCwwB6heFFJgQIFyECAFRERkSpVKtg7duyAcKNb3rx5USxVqhRyTP7q1atNmzZB3D08PGxt%20baMmiw8Wbv2hbcwSGhravHlz/Oos3DEmFu6YEwu3GuhEuAEC6tmzZ8Mg4aaTYwRbCLxghIeHp0yZ%20EnnmzJlR3Lx5M2LzkJAQugRarlw55PPmzXv8+DEmKViwIPZ3yDcq44WFW3/o4GSzfPnyisM4C7dK%20YuGOOVkP0Fa4CwxOVMK9ZcdBWQ4bWa7/pryD7ebMR2t04b5w4QJ2w8uXL1NxypQpUF4o+J07d1at%20WjVu3Lg5c+Zkz54dTVeuXEG9m5vbmDFjUN+gQYORI0eePHkSlRBohOF79uxB2D5hwgSsz/jx4zHh%209u3babZxw8KtP7QVbk9Pz4EDB+Jwjd8bRRh9+vRR3GxP186Mwps3b0aPHs3CrSW6Eu6k+XtbZasm%20sygikmVR+EZxq+R/JU+mfiqaPJkVJrMoFDWHZMVhOjg4LIkdBI9iM6SJsnA/evx45ep1q9b8N61d%20f/NmlDhi74OwDlcCEgzHQ64oQpdRM3bsWOwXMKZOnYocTaiBgUroNYyJEyfCgEDDppmgBjmkv127%20djBAnTp1aLZxg/7C0gisMG27aSJV4YZeZ8mSpUWLFhEREdDHZcuWZciQAadXOJ/68uULDtQ4/8LB%20XPQ2OCTcoqAdLNwqKqxJytV52JD+r9xfvnjh9ju9eI4wz+1FQhIyQJM/jzJjB+f7ijM/iaIs3HHT%20qlUrRXBtNig/v2OCSP5SiQoQcZ3EuVrCwq0TdCfcnSZPHCtmaiiyZcsmLGmSIOE+deqUKJgL169f%20F5ZJYm7CbSKwcOsEFm4jwsItLJOEhVsvsHDrBBZuI8LCLSyThIVbL7Bw6wQWbiOivnCDQ4cOCcuw%20jB8/Xli6hoU7Dli444eFW1WFNUgs3AlHWbjhz3v27NkbE7t370aHGIW7UaNGa9eu3bhxY+HChem9%20JRrw8+fPGTNmiMJvFixYICy9wcIdByzc8QPhLlCtQ/v519vZXUloajblKAt3VNJUuLX5Mzfdpyxd%20lIX7zp07UIovMfHC7cW79++jC3eTJk2ePXtG9rZt28LCwqDgdevWpZr58+fXrl173759kOBu3bpR%20JWrOnDkDY+rUqQ8ePOjevTvsYsWKFShQwNXV9dixY3Xq1Lly5cqOHTuSJElC+9fq1auRo6fiA8RT%20pkwZPnz4vHnzqKgxLNxxYLbC/fr167FjdRPiff/+vUKFClWqVKmacDDVNvWeVjBNTCHiloE0GWWp%20MyQspUqfKrd1al2kFFmyJ+iqha5QXih0U1jR8Pb29vT0jC7cGTJkCAgIEAW50KAnDIjvhQsX6Hl3%20DO3nz5/pRYCVK1dGbm1tHRwcnDt37tu3by9dutTHxwfHDPpkML08Fi6NnJ6oPHXq1ODBg/v164c5%20oycqnzx5kjlz5tDQUBw1Eaqjj8awcMeB2Qo3Yg1Jh7omgkkIdxLLSisOlF+w3VipUP+Jx48fF2tj%20QLQXbn9/f1GQv9z14MGDR44ccXFxCQ8Pb9my5a9fv5ImTYomiriLFi2KVoq4K1asiHzdunVQbYTY%20c+fORXHGjBlr1qypUaMG7DJlyiCH6A8dOrRkyZKwAb3ehKbFAUD5sKEBLNxxYLbC/fTp0+nTp4sC%20oyk6FO6pkzX8KxaEu8KinWVtNxgrFbQZY3ThfvjwobCi8eXLl/cxXSpBZc6cOclu0KABhAa/JmxE%203Mjbto16KS4Jt42NDfI8efIgp6gcJ4vId+7c6ebmhtAbkr18+fJGjRpB8WvVqoWm4sWL37x5MyIi%20Yvjw4YsXL165ciUOA5MmTUITheQFCxZEZxgaw8IdByzcTFzoTLjzdJfJMspkKWSylAlNVhkzsXBf%20vnzZfsGC+TEBVUVsG+MfJ4OCgs7LoeLz58/JvnbtmrOz89evXxFNv337FjOnh5zRCjn+/v07onIc%20Ki5dukTqSY9los+tW7cwIQ4VL1++9PDwuH//Ppog35iK5oz9DtP6+Pggx+JQozEs3HHAws3Ehc6E%20Gyl/f/mrvROYCgxJni4tC3e8xCjckoaFOw5YuBM1OJkNix10iPqQAjQ3b6+EpXy9dZby92fhVgcW%20bgMjVeFWeSGJctEU3lXCwq0OlUDLPOWb5oo1NctdvnGWBKXKLbImSZKkT58+3XRB7969k2fIzMId%20L/RHRXPi8ePHwjJJJCncJM1FixbNkyfPgwcPqHLAgAGFChWiL9rlyJEjW7ZsP3/+NJaIs3CrA36v%20zW87r3nSTodpm1cX+pOXrmDhjpcFCxbA4aF05sSTJ0+EpR+CgoLE8GmEVCNu+o4GKF26NBn0yQyQ%20Pn16MpIlS0aGwcCh4occHE6mTp0aGhoKG7kpnASYIIULF17/ssMK1zY6TJs8OrFw6wT1hdvR0VFY%20jNokUuFWQHdxuri44Ox46dKlsLNmzSpvMcIXcOzs7EaMGDFq1KgePXpUqVIFBhg0aNCnT59ED0YJ%20Fm51Egu3WZKohfvs2bMbNmwQBfkNQ/b29oq7Rw0v3F++fPGRc+7cuRkzZpAN1dbyIS5zhYVbnWQK%20wr1/1y6bvHl65c+nnGys8zcpE3W+y8KtAYlauDdv3gztFoXISH9//yFDhpjCNyfv3LlDX7Zm4oCF%20W51kCsJ9wNFxgHV+lY9wDihUsFlZFm4NSbzCbWtre/To0X379olyZOSIESMQdNN3/oHMeN+cZOFW%20BxZudZJEhTs0NDSFnHv37v348UPUxglOT5GXKVNm3LhxVKM+AQEB0V9ACClInTo11iGOR/axnnGc%20EL98+RI51l/nJ82JVLj79+8PXc6SJQupM3JAl5K/f/9uaWmJvff27dvyvkaAhVsdWLjVSVIU7uvX%20ryvexTp06NCQkBCy44buL4BWjho1imq05MWLF/RJ+HTp0kHpqDJB5M6dW1i6JrH/cVIZunnDFG7h%20YOFWB2kId/pMJSYvKjbGzlgpTzsbyQl3jhw5Pn/+LApyMmbMGBgYiIgKdvHixRGGL1++HNFumzZt%20vL29s2XLht22cuXKwcHB7u7uuXLlQvhFrwBs3bo1NM7a2trFxQWz7datG0K07Nmzv379Ok+ePF5e%20Xujm5+eHSnSbOXPmo0ePihQpQkt3c3Pbtm0bjAwZMrRq1ap+/fo2Njbh4eENGzZEZ8TjWKiFhQX2%20VgTsK1asOHPmzJ49e6gVoTpCeMwcqwSP8vT0RNiOs/xLly5hHbBorMzbt29xlo/5awALtynCwq0O%20khDu+QsWLjEqixYtevPmjVgbA6KNcEOISTqhfR06dPjy5cvPnz+hjJBXaGXevHnTpk2Lpg0bNtBb%20pTp27Iic3i2FiHvkyJHoBmWEniZJkgTaignRRPf+YnE7d+6E/jZv3hxFyDTyMmXKhIWF0TvQ0UTR%20G4QbzoDJaQ3pBVWHDh2i15gMGDAAOcT67t27Dg4O6Ab+/PNPirLp2kiFChWQ4+wB69mrVy9FJQZn%20y5YtWJDiPeAJhYXbFGHhVgdJCHeiRUW4B1rn71+wgHKCcDePRbh37NhB7/8DnTp1gkglT54cSg1l%20hKTiUPTjxw8EvCdOnIBiog+9MlAh3KNGjSLhhhbT2/7oPVP0NtfYhBvzhEchQEbx/fv3yBURN0FL%20uXnzJr0ntkmTJshJuI8ePUpHmjFjxuDkAAZieeQK4f748eP48eMRbqOI+Zw8eZKF2wxh4VYHFm5T%20Rlm479+7t2D+/IX29ipp47qom3GjCzfw8/PDDwGqV6+OIoQVtqWl5ZAhQ7BrwCZt7dmzJ2wKkCH3%20JUqUyJQpU7JkybZu3Yr6U6dOXb9+HYaNjc2+fftgrF27FseAlClTDhw4EMXRo0cjnzx5MnLE6ZgJ%20/X0LBsBxAjZJMI4KsL9//w4bPWHTQiHc2FsVHWC8fv0aBkn2smXLihcvjmL58uVRxFGE+tA6DBs2%20DMVHjx6hJqGwcJsiN27coKeBmDiAcO/63B1Sq8O0x68HTq7FAhgtUBbuuIlRuKXC6dOnEU2LggFh%204TZFXFxc6Gt4TBwULVHIMllSy+Q6TmnSpBELYLQgkQi3sWDhNkWcnZ1ZuOOGTlT1hF5nnkhQU7j7%209OljZWWVjNEbYqD/Cwu3XmDhZqSOmsJdr149YTF6ILbXgrNw6wUWbkbqsHCbAizcBoWFm5E6ysJ9%20+PCBivX+qhQtlayWL0f2HKITowdYuA0KCzcjdZSF+6jT/rVubVXuvESyda6byspor3JLDLBwGxQW%20bkbqaCzcb9++9fDwoL8Pe3p6vn79OjQ0lJ6moQ7K0NMuAP3nzJmj5afZ4yD6K6gAVmzdunWiYJIk%20FuFWuZ3AWHcX8O2AjNTRJuKuWLHi6NGjyV62bBkZ4MCBA8KKCUdHxxcvXoiCTjl9+nRgYKAoyFF+%20q6gpY27CTYrco0cPKsLJsmXLVqJECSr6+PjgCJ8pUyYqGp6LFy+uX79eFBhGgmgj3F27dm3WrNn5%208+dhz58/Pzg4mF42kipVquzZs7u7u9etWxc1EFOqR5CO+r///hvC/fPnT0ybK1cuxZ3OJ0+epFbY%20UCvY27dvh3Lly5evX79+RYsW3bp1a7JkyegzJn/99RcOG+/fv4dRuXJlem4zderUWbNmPXfuHFSi%20ePHiqEmZMmXOnDkdHBygjBCTVq1aocONGzeuXbvWsmVLLGLChAlRyzY2Zhhxp0mTBj8wDPzSHTp0%20UDbu3r07adIkGMaKuHGEp/dJMoxE+Y9wn9y//lX71Y/bqaS5V+vFKNzdunVDnjdvXg8PDwg3bEtL%20y4iIiObNm9Mli3Tp0kX1i4y0srLCTkp3KyPifvny5e7dux88eABVgoCi0t/fv3bt2jD69++PHRz5%20nTt36LuyefLkQd6kSZOvX79id8MK16pVC/t+7969Idz0QZU//vjjx48fWB8oXdWqVaHstCZNmzZF%20682bN2/duuXs7IxjCYpYK6wMVAU5JkSN0THPiBtHVCoC1OD3aNeuHexevXrRmRp1Mzxnzpxh4WYk%20jbJwHzi8t+vEKp3HVVVJLYeW/iNTFtFJCRJugID6n3/+gUFyCU1EHh4e3qJFC1TChnCjSCfHCJwR%20etva2kZNKX+xPnJfX196GxQC8A8fPsycOVPeGAW9c6px48YfP37EtDjNpRqAOZM4ZMmSJSQkBGcA%20ULqxY8euXbsWBwm00jxxTgDh3rx5M30wAWFfQEAAonjoRoYMGaJmZGzM8xo3vTlMQYECBRTf2sDB%20GedKZBueK1euqAyrsQ4hDKMZysIdB/Xr1xfWb969e4cYGTlsuD3OfSG+UHDI7uzZsy9cuAAxolc4%20eXl5of7Lly/of+nSJUTBUFuEz8hRXLBggXx+Ua/oQ3HHjh2wqWnx4sWYPyJuT09PiDV2t7///tve%203h7yvXz5cnSAIhcsWBBzTpky5dOnT1GJk2BINpqwxGfPns2YMQNrsmTJEgcHB+g4Ym3ofp06dY4f%20P44jwadPn9CZvshjXMxfuHFKVbhwYVGQo/iGmcHAiSFODzNmzJgmTZrUqVPDAGnTpqULOAwjIdQU%20bn4AR6+Y56WSGjVqUNHNzY0uau/evZtqzpw5M23aNLIND0fcjNRh4TYFzDDiRlSLs55z5879/PkT%20Bk5trKysxo4dixMrGKTjxoKvcTNSh4XbFDDPiNtkYeFmpI6awt24ceMDBw7gTJcBR48eFeOiI8zz%20GrfJAuFW/mYSw0gOZeF+/+7d8RMx4HTiROfOnel+bQZo/CWz2GDhNihHjhzZs2ePKDCMBFEWbsfD%20R8ss3Vt24Q6VlLdlt25du+g8zJQuOr9wxMJtUHDSdPjwYVFgGAmiLNx7INzzt5a13aCS8rfowsKt%20DAu3tHF0dGThZiSNmsLdtUtnFm4FzZs3X6hThg0bJmb9X1i49QILNyN11BRutOL8krops2jRoq1b%20t8YWMIJfv36NHTsWIeq9e/dEVZwMHDhQ+X1VsWFvbz9v3jxRiAm97ph169YVlp5h4dYLLNyM1FFf%20uOHt1E1B7969v3//HhgYqPJsswrTp08XlhpcvnxZnTdu+vv745ghCgbHYDdHsnDrBRZuRupoI9wz%20Zszo2bMnjNOnTy9YsKBs2bJv376VyWSIsv/8889JkyZ169ZtwIABZcqUwW7Sv3//QYMGoQ/6r127%20dsiQIZUqVYK9YsUK2J07d46aY2TkqVOn2rRp06dPH8TUKCK27dKly+LFixHUFypUqHLlylgWZovA%20fOnSpeiAcL5v376oLFCgwMiRI+vXr+/p6WljY4P5bNmypVixYoMHDy5XrlxERAQWh3WYM2eOll9e%20Byzc0oaFm5E6ysK9e9/+ggMmFu43TiXlrN4ArdGFGyxfvhxKPXv2bNh16tRBTm93onf+geDg4PHj%20x8OAskNM06dPHx4enjNnTtRs3749JCQEgjtq1CgLCwt59yjhXrZsGaSfxPHIkSNQ9o4dO8LGwQA5%20+qPV29sbEffLly+h2qNHj8Y6QKAxN19f3507dz5//py2i44NSZMmRRNW9efPn9bW1qjREhZuacPC%20zUgdZeEOCwsLDgyInkKCo0LU6MLdunVrMtKkSYO8YcOGyCHcyOl9qoCEG1ILDX306JGVlRVkPXv2%207GiCKkFPGzSIOiooPoBw8uTJ1atXo0+NGjWgs5BINNGCKFrPly8f5ubl5YVu9+/ff/r0KSpv3rzZ%20q1cvqPanT58cHBzu3LlD29W4cWPkEG7kEHeovE6emGPhljZ79uw5dOiQKDCMBFEW7riJLtzdunUb%20NmwY1JC+fkDKiNzV1TVDhgxTpkyBwkJPESNDYZMkSTJo0CC0njhxwt7eHj3HjRuHqRCtw1Z80AA6%20Donft29fqlSp3N3ds2XLhvn88ccfixcvxiEB0n/x4sWaNWv279+/Vq1a6F+hQgVMvmPHDkTxCLr7%209etXvnz5Vq1a1a9fHxMiwHdzc8NCnZycOnToMGbMmOHDh9OCtIGFW9ps2rQJAYIoMIwE0Ua4JQTk%20m4zw8HAytIGFW9rgZO3cuXOiwDASJJEIt25h4ZY2LNyM1GHh1gAWbmnDws1IHfWFu2jRok0YOWnT%20xvAFTn3Awq0XWLgZqaO+cDOGh4VbL7BwM1KHhduUYeHWCyzcjNRh4TZlWLj1Ags3I3VYuE0ZFm69%20sGbNGhZuRtKwcJsyLNy65NatW5cuXXJ2dh46dOjKlSsvX76M4s2bN0Uzw0gHFm5ThoVbl+zZs2ft%202rXr169v1arV5MmT161bh2KMbytmGBOHhduUYeHWC7a2thxoM5KGhduUYeHWCyzcjNRh4TZlWLj1%20Ags3I3VYuE0ZFm69wMLNSB0WblOGhVsvsHAzUoeF25Rh4dYLLNyM1GHhNmVYuPXCnDlzWLgZScPC%20bcoEBwXt27dPFAyO2Qr3pEmTHj58KAoMI0EePXo0mTFVxo0b9/z5c/FTGRyzFe6xY8fSt0oZhmHM%20DHMW7idPnogCwzCMGcHCzTAMIzFYuBmGYSQGCzfDMIzEYOFmzIFXr175+vqKghlx5swZYTGMEizc%20jDmwdu3aa9euiYIZUaRIEWExjBJmK9yjR49+9uyZKOgfb29vYemTjx8/Ckt3eHp6CksPvHv3Tlh6%20ZtWqVVeuXBEFPfPr1y+DRffW1tbCYhglzFa4+/fv/+bNG1HQPy1atBCWPmnYsKGwdEexYsWEpQfy%205csnLD1jSOH+/v370KFDRUHPsHAzMWK2wt2nTx+DhXugYsWKwtInJUuWFJbuSJcunbD0gIWFhbD0%20jCGFOzAwsFOnTqKgZ4wo3F5eXsJiTA8Wbt3Awh0jLNxaYkTh7tWrV4UKFS5evIjtFVWMyWDOl0oM%206XBVq1YVlj4pU6aMsHRH+vTphaUHDCbcW7ZsefTokSjon549ewpLzxQsWFBYBmf48OEyOdWrV9++%20fbuoZUwDsxVuhMDkdgzDaE+OHDmCgoLE3sUYG7MVbgPDEXeMcMStJUaMuEeMGEGSbW1tPXHixO/f%20v4sGxgRg4dYNfI07Rvgat5YY8Ro3Dk6pU6fesGGDXm8YZTSDhVs3sHDHCAu3lhQoUEBYBgfjGRoa%20KgqMicHCrRtYuGPEYMJ9/fp1g922b0jhXrhwobAYRgkWbt1Qvnx5YemT4sWLC0t3pEmTRlh6IEmS%20JMIyIyDcHTt2FAWGMQYs3LqhR48ewtIn+gj0atasKSw9UKFCBWGZEUFBQZMmTRIFhjEGLNw649ev%20X8LSJ7pdCs1NT2uu15kzTGKGhZthGEZisHAzDMNIDBZuhmEYicHCzTAMIzFYuBmGYSQGCzfDMIzE%20YOFmGIaRGCzcDMMwEoOFm2EYRmKwcDMMw0gMFm6GYRiJwcLNMAwjMVi4GYZhJAYLN8MwjMRg4WYY%20hpEYLNwMwzASw8yF29bWdubMmZ8/f6YivdT/bzkwIiIikG/cuDGqTQ9s2LBhzpw5N27cEGX5CgQE%20BDx48ECUdQdtmoODAxV1y+vXr9+/f0929I3SFe/evVN8N3Lz5s1YiouLC2z8TNOmTZs+fTpsfXyW%204fHjxwoPUbBo0aLZs2e7u7vD/vTpE7zIzs6OmmbNmoWVCQ4O1mxl7t+/7+fnR/bSpUuxlGfPnlGR%208PT0xOLmz59PxRkzZmDzf/78Cfv69esYFvwE1KQOt27dgsuRHcdGEYodBEukmsWLF2OSFy9ewPbx%208cEk2KeoiTEi5izcffr0efjwIXyuQYMGoioyslixYpChV69eValSBcWSJUsWLlyYmnQLjgfHjh2D%20KIwdO9bLy0vUYsRlsk2bNomCTqlatWqOHDlEQXeEhYVhna9evQobknH8+HFs1JgxY5Q3SidgKefO%20nYOxY8eOgwcPYimTJ0/+8uVLmTJl8Hu9fPmyfv361FOHBAYGYrlPnjwRZTlTp07FkQl62rlzZ2hZ%2048aN3dzccLgdMWJEhw4dnj9/Du0j/0koX79+xeJIOiGIODI9ffq0Z8+eOAxQB9CiRQss4t69exMn%20TmzZsiUcGP3Lly/v7+8/btw4DAv8Ss1o4+PHj1gcHXSnTJkS40YNGDCAOhPYI2gHqV27tr29/bVr%201zBJ165dcfhs2LAhVgb7FPYs0ZsxEuYs3HXq1KEIonTp0lQDkidPTkb69OnJ0IfYgXnz5iG2goGd%20zcPDgyqxPthVVq5cSUUdQluaIUMGKuqWnTt3Xrx4EcbcuXPpdAFHI51/VR1iffLkSRiIQ2/evAkD%20cR8CQ8VG5c6dmwzdsmTJEpVzoF69ekFhYTRr1gwDS1+ChnK1atUKRxF5l8hcuXKRkVAQMkMxYQwa%20NMjb2xsGDgZBQUHyxiiqV6+OPDQ0FHL5119/UWWWLFlwDBs/fjxs+BW8i+rjBQe/t2/fwsDhgSJ9%205Y0KDw9XDmtA6tSpyciWLdvo0aN9fX1ht27dGptP245psWfJuzBGg4U7MmfOnGTolhiFGyB0XbVq%20lSjoGj0J9/r16y9dugRDr8KNQNsowm1nZ4coUhTk6FW4//77b7ryYBjhxrkRC7f5wcLNwh0/LNyw%20WbhZuE0HcxbumjVrklGyZEkygIWFBRkKB9WTcCvkAML9+vVrqgSQpLVr14qCrsmYMaOwdMrGjRvp%2074S2traPHj2CoQ/h3r1799mzZ2EsXrz49u3bMEi406ZNK2+PzJ49Oxm6Zf78+SrXuLt3705/0Gva%20tCl0qmzZslTfvHlzhS9pvDLTp09/9eoVjP79+9MfRdu3b68s3FWrVkUOSe3UqVPBggWpMlOmTArh%20hl+p/FExDuB+9NeIbt26BQYGwlDZqLp165JBWFlZkfHHH3+MGDHi27dvsFu2bAnhLlWqFDUp9izG%20WJizcJ8+fRpRBnZCxDhwu7Zt22I/sbe3RyADJ962bRv6IKaQyWSkSrrl8ePH2DN79OgxatQo7ITY%20OSlorVKlSoECBcLCwqibDpk6dSq2BVstyjoCQ1eoUKFKlSrBhmr369cPG4VxIxXQIUWLFiU1efbs%20GQ3dyJEjEXjiaIHfC+zZs4d66pCQkBAE8rVr1xZlOVeuXOnduzc8Z+LEiShiYGHDly5cuHD06FHY%20WJlZs2ZR5wSBQYPi019Zb9y4YWNjg82EHCv7w5QpU7AIRP1wy4MHD9Li/vnnnx8/fsCX0B8/AbxL%209I4ThNgI1Rs3bgw7to2ig6UCxPK0g+zatevOnTu0hhMmTIDWYz+iSXTuY0xCMWfhBjjhBdBN2Ais%206NYIRC5A3h6JgALODXWgom7x9/fH0iENsO/du4ddBQYWjUp5u47B4rAttDjdghVWjJjyRukW5aUg%204EWR7rWAZOhv0DBz5eUqwEiinm7Cg6rCRg01UX8cz6iYIGhxgIpwP9hQZCoSMS4OE8LGsKOIn4Ca%204gUrif6AinFslAIabUBF5TWkSQA1MUbEzIVbAaQZ0YooGAPN7h5jGIaJTmIRbuNC4RLlDMMwWsLC%20zTAMIzFYuBmGYSQGCzfDMIzEYOFmGIaRGCzcDMMwEoOFm2EYRmKwcDMMw0gMFm6GYRiJwcLNxIOM%20iQ8xUgxjKNjnGIZhJAYLN8MwjMRg4WYYhpEYLNwMwzASg4WbYRhGYrBwM5rg4uIi7qj4jaurK3LR%20LKdChQrC+s2rV69U+mgDfdiFYRIhLNyMJjg5OZGhLMTqiLIOhZthEi28FzFaoSLcEHRFTefOncmw%20t7enJtjUihwgAC9QoIDyJA4ODrCRw6ap0AH2kCFDMmbMqJghcHR0pIgblb6+vuiJkJ+aYgRzQ64I%200hVTYT5AsQIMIwnYXxmtUJY8siHHpJJUhCxCIhVFyqmDokiTIFfuSVdaINnI6XOdZCsgFabOykaM%20qAi3wqCpsFzFKjGM6ROXrzNMvCjLpcJWFm6FRBKoROxMAk1FMjCJinTSBXH6AD9dUkcNNRE6FG6g%20sp4MY8rE5esMEy/KcqmwSSWp6ODgQJEyQm9FJXLl4BpgEldXV4qyqYlyulRCKDoTCRJuitkVc2Ph%20ZiRNXL7OMHED1SNgQ/hgUA4Ut52gia5Q0+UIqlRGMQl6Uge6Wk31dL0bgg6bom8iagKlpRB0wIgO%20Fg3Jxmo4OTnBUEylss6iN8OYPOysjCZ8lsuc4fPQffuQJxRSf4YxG6J2BobRgLgVVn+5BtB1EoYx%20GzTcExiGYRhjwcLNMAwjMVi4GYZhJAYLN8MwjMRg4WYYhpEYLNwMwzASg4WbYRhGYrBwMwzDSAwW%20boZhGInBws0wDCMxWLgZhmEYhmEYRo9wwM0wDMMwDMMweoQDboZhGIZhGIbRIxxwMwzDMAzDMIwe%204YCbYRiGYRiGYfQIB9wMwzAMwzAMo0d0HHDLGEMhRpxhGIZhGIYxbXQfcAuL0Sc8zgzDMAzDMFKB%20A25JwuPMMAzDMAwjFTjgliQ8zgzDMAzDMFKBA25JwuPMMAzDMAwjFTjgliQ8zgzDMAzDMFLB/ANu%20X19fe3v7jBkzirJZwAE3wzAMwzCMVDBmwP3q1asCBQpgEgcHB1ElJ7Z6jUHAbWYRKgfcDMMwDMMw%20UsGYATdo3LhxjJNQvYuLiyhrBwfcDMMwDMMwjLGQRsBNEbOrq6vCpovfqBkyZAiKyB0dHTHV1KlT%20UY9ixowZaXL0RAcA29fXF5WwK1SogJ5OctCzQIECaAV0cZ0mRK7cBAOLhoE+mFxhY27K/cnWN7Q5%20DMMwDMMwjOkjjYCbQLiM6JnuNqF4F1D8rdyTQnBRkEN9REG+kpi/KPy3FREzbBVoWQjQ0YqwHqtB%20nQkE3wCBuygbBKyVsBiGYRiGYRjTRsdxW0IDQTUDbsTQiLMVka4iCAbRA26aVjksTlDAjWWRrQBB%20trDkoIhuynMAWBzNR7FiekV5cxiGYRiGYRhTRsdxW4ICwVevXtEVZZWINvpDk+gG0M3JyWnq1Klo%20QrxLU9H1bLqThEDsS/1pcsyNQnCEwq6urmiFrRy+d+7cGTUUsqMDJkQRleiPmSvmjErMEFMBtGIO%20qMRU6E+Xt2m1o8fr+gArIyyGYRiGYRjGtDFmwM1oDI8zwzAMwzCMVDBawB1kZ+ffqNGPY8c+y2TB%20K1eaTR6yc6dflSoha9aI7dQPHHAzDMMwDMNIBaMF3Iw28DgzDMMwDMNIBQ64JQmPM8MwDMMwjFTg%20gFuS8DgzDMMwDMNIBQ64JQmPM8MwDMMwjFTggFuS8DgzDMMwDMNIBQ64JQmPM8MwDMMwjFTggFuS%208DgzDMMwDMNIBePEbY8fPz537tzVq1cvX7584Tf//vvvpUuXgoKCRCeGYRiGYRiGkT7GCbhv3brV%20r18/mUzWp08fR0fHDXI2b968bt26Fi1aLFiwgLr9+vWLDIZhGIZhGIaRKEa7M+HEiRMIuHfv3i3K%20SqxZsyZ58uTOzs6izDAMwzAMwzCSxRQD7rVr11pYWLi6ul69erVYsWLo1qtXL2pCf2tra9RMmjQJ%20xcuXL1eoUCFJkiTbtm0bOHBgx44dg4ODvby8MIcGDRqUK1eue/fux44dQ8/jx49jqj/++KN+/fq1%20a9eGDWrVquXm5hYYGLhz584OHTqgf5MmTTZt2vT69Wv50hiGYRiGYRhGW0w34EYwDTs0NDRv3rw9%20evSgJvD58+fMmTOPHz8etrOzc926ddOlS7dhwwZfX1/q0LVrV8y5evXqiJ4xLexdu3ZFREScOnUq%20LCwMcXybNm2WL1/+8uVL6v/ly5czZ8507ty5ihz0HzJkCDUxDMMwDMMwjJaY6C0lVlZWLi4usP38%20/HLnzt2zZ09qAh4eHpkyZRo5ciQVBw4cmDVr1k+fPlERtGvXrlChQojURfm/7Ny509LS8uTJk7AR%20fyNftmxZkiRJbt68Cfvbt285c+bs06dPVFeGYRiGYRiG0RrjBNw3btxAUIuAu3fv3rt27VonZ+PG%20jWvXrm3ZsuWiRYtEv8jIoKCgCRMmDB06FK1btmyZPHly9erVMeEff/zRrVu39evXV6tWLWnSpHPn%20znV3d6dJMJMePXogat+2bdvMmTMbN26MxQUHB2MRyZIlw4QHDx48evRoixYtMJ8rV648fPiwa9eu%209vb2WBMsGn1Kliy5b9++wMBAmiHDMAzDMAzDaIxxAu6nT59euHDh+vXrLi4uly5duiwHNc7OzjG+%20FtDb2/v8+fP//vuvp6cninfv3v348SMMRNKY8Nq1a5iWmoiQkBDM+cyZMwimqebLly/oifAanWHQ%20Qm/evBkQEEAd7t+/f+7cOVRirWieiNGpiWEYhmEYhmE0xmi3lDAMwzAMwzBMYoADboZhGIZhGIbR%20IxxwMwzDMAzDMIwe4YCbYRiGYRiGYfSIqQTcERERwkog/Pl3hmEYhmEYxpQxTsBtY2OTJEmSXLly%20Ie/QoQNVHj58OFWqVJkzZ06bNm3WrFnd3d2PHDmSPHnyP//8E/XW1tafPn3avHmzhYVFtmzZrKys%20SpQo8eHDB5qWYRiGYRiGYUwTo13hvnz5skwmo++uA8UV7tKlS7du3ZpsIl++fP379xeFyMiAgAAE%205ZMnT6YiX+FmGIZhGIZhTBmjBdz0pUlFwK2gTJkyTZo0EYXIyK9fv6ZNm7Zbt26iHBnp7+9vaWk5%20YMAAUWYYhmEYhmEYE8ZoAfe5c+csLCwQc1tZWSWXQwZqunfvLjr9ZtasWTlz5vTy8lq5cmWOHDnu%203bsnGhiGYRiGYRjGtDHyFe7jx4+L8m/Kli2rfIWbmDlzZrJkyby9vRcuXIig/MWLF6KBYRiGYRiG%20YUwbQwfciluunZ2dEXAj7Kai4h7uMmXKtGnThmxFZzc3tzVr1vTr12/cuHEHDx4MDAyk+kTOq1ev%20lixZ4uHhIcoMwzAMwzCM6WGcK9xdu3ZFtE20aNGCKg8cOCCqZLLUqVPfvHmT6olPnz5lzpy5b9++%20opzouXz5cs+ePZMmTTphwoTnz5+LWoZhGIZhGMbEMNoVbhVifA+3orPyVLHNIfGAEXj//n2rVq3o%205AQxNyJvf39/0cwwDMMwDMOYEka7h5vRmIcPH9auXTtVqlQUcIPMmTN369bt5cuXogfDMAzDMAxj%20MnDALTEuX77cr18/esGLMkmTJv3777+fPXsm+jEMwzAMwzCmAQfckiEiIsLLy6t79+6WlpZp5aRI%20kQJxdqpUqWCnS5cuffr0Q4cODQgIEBMwDMMwDMMwJgAH3JIhLCzsy5cvL168ePDgwaNHj+7cuTNn%20zpycOXM6ODi8efMGNffv33d3dw8MDIzxhniGYRiGYRjGKHDALVVCQkK2bNmSL1++06dPiyqGYRiG%20YRjG9OCAW6pwwM0wDMMwDCMJOOCWKhxwMwzDMAzDSAIOuKVKaGgoB9wMwzAMwzCmDwfcUuXz588O%20Dg6lS5c+f/68qGIYhmEYhmFMDw64pcqrV6+WLVtWp04dFxcXUcUwDMMwDMOYHhxwSxUOuBmGYRiG%20YSSB0QLuX79+CUuOSlGZGJuoMo6mGEFTQicxWTjgZhiGYRiGkQTGCbgVAW6bNm0aN25MdnQU3TZu%203CiTySwtLZEXKFDAx8eH6sHs2bNRaWVlhbxKlSrh4eGiITJy4MCBqEyRIgXytm3bilo5LVu2VDQN%20GzaMKqUVdnPAzTAMwzAMIwmMdoX76tWr+fLlQ7zbtGlTURUTX79+TZs2bdeuXUU5MvLbt2+IvCdO%20nOjt7Y3Jp06dKhoiI58+fYqadevWPXjwAMaGDRtEQ2TkqVOnUHPmzJnjx4/DOHfunGiIjFy9ejVq%20nJ2dRVkicMDNMAzDMAwjCYx8hRvxYuXKlcmOET8/v9y5c/fs2VOUIyPfvXuXKVOmWbNm+fj4pE+f%20Xjngvn37drJkybZu3fr48WMLC4u1a9eKhsjIw4cPI6q+cOHC6dOnYZw4cUI0REauWLECEfy1a9dE%20WSJwwM0wDMMwDCMJjPzQZI0aNapUqSIKMcEBd2xwwM0wDMMwDCMJOOCWasD9+vVrBNy1a9fmgJth%20GIZhGMaUMfItJXXr1q1ZsybZMT6z+PXr19SpUyvfw+3v749gesKECbHdw+3g4ODq6gpj48aNouH3%20PdyIto8dOwbDDO7hxtnF3LlzO3bsCENUMQzDMAzDMKaH0a5wI+RF3IxIFyRJkiTu75MvW7aMeoIc%20OXK8evVKNERGTpw4UTTIZKVKlfLz8xMNkZHdu3cXDTJZo0aNIiIiqD4sLKxevXqiQSazsbGhemnh%204uIye/ZsrPz9+/dFFcMwDMMwDGN6GPkKtzKxvZUvjs4aNMVWLyzpwAE3wzAMwzCMJDDyPdyMxnDA%20zTAMwzAMIwk44JYqHHAzDMMwDMNIAg64pQoH3AzDMMbi169f4cxvFI9IMQwTGxxwSxUOuBmGYYzF%20jh076tevLwqJm71799aqVUsUGIaJBQ64pUFISMi3b9++yIHh5+fn5OQ0efLkrl27Xrp0KTQ0lJoI%20dEB/MSVjJIKDg/EzfTUUWFZQULBYNsMwegYBd7169UQhcePo6Fi7dm1RYBgmFjjglgZnzpyZOHGi%20jY1Nz549kffu3btZs2Zly5a1trZu0aJFv379UAOodcKECXG/ZpExAD169Chdqmz/PoMGDxg2oO9g%20/aVB/YcO7D+kUoXKjRo15j/sMoxh4IBbAQfcDKMOHHBLFScnpylTpiC2dnNzE1WMKdG9e/dqVap7%20efgG+P749O6b/pLfp+AvH7+3atGmYcOGHHAzjGHggFsBB9wMow4ccEuVPXv2jBkzZubMmS9evBBV%20jCmBgLtqlepv3b2/egcj7NZf+uwV6PPev2Xz1hxwM4zBUCfgDg4O/vTpk48cGIGBgaLBGPz8+fPg%20wYMymezq1auiSkdwwM0w6sABt1TZu3cvB9ymDAfcDGPGqHmF+8ePHx06dOjatSviXVFlPG7evJk0%20adLr16+Lso7ggJth1IEDbqnCAbeJwwE3w5gxagbcX79+bdOmTceOHf38/ESVEgEBAevWrStSpEiG%20DBnKli175cqV8PBw1H///n3OnDm5c+dGPaa9d++eh4dHSEgI5jZjxowcOXKkS5cOS3/z5g06f/78%20Gft+uXLlLl26lCtXruTJk7ds2TIoKEi+hKhZTZo0CfMBK1eutLCw0HnAvWfPnsqVK3t7e39kGDX4%208OGDj49PaGiocKBEAwfcUoUDbhOHA26GMWO0D7gDAwPRhCDY3d0dMj5u3Lg0adKcOXMGTe3atbOx%20sUFcAtvJyalQoUIIuP39/UuXLn3hwoWXcjDPtGnTenp6ok/v3r3z5s1LF9E/ffqEmPvEiRO/fv16%20/vy5TCZ78OAB6oH+rnCrMxQMo2Dfvn04TxOFRIPRAm5ogbD+S/T6GHtSZRxNMRJHk+TggNvE4YCb%20YcwYbQLu4ODgI0eOYA7169eHIWrlRyi6wo0QPHfu3OvXr3/8+HHnzp3Lli2LgBuBcuHChd+/f0+d%20ASJsOqh16dKlVq1aiMhhI0xHwL1p0yY0HT58GAG34mq3s7MzAu5bt25RUVfwLSVMgvj27duWLVv2%20798vyokGI1/h7tq1K+QgWbJkyCErojYa69atQwcC5/EfP34UDZGRM2bMQKWFhQXyChUqKN8n169f%20P1RaWloib9myJVWaTczNAbeJwwE3w5gx6gTcnz9/vnz5MoLR8uXLnzhx4r6cc+fOFSlSZNq0aeiw%20Z88ea2vrRYsWUdOUKVPu3LmD+hEjRsyZM+fJkyeIs8HDhw99fHxQP3/+/OzZsx87doz6Dx482NfX%20F4eABg0alCpV6saNG4GBgZg/DnnTp0/38vLCJK1bt0bx7t279+7d69WrF+xs2bKdPHkSTbqCA24m%20QXDAbWhwzo2zbUTPKjuqSkD89evXNGnSIC4X5chInMQjvJ4wYYK3tze0Y+rUqaIhMvLp06eoQXTu%206uoKY+PGjaIhMvLUqVOo2blzpyhLHw64TRwOuBnGjFHzCne8IGJ++fIlZBwgJr4pB+H42bNnqZLA%203o3oHE2PHj1yc3Ojytu3b6MGBz4qPn/+HIG1ovXBgwfymd1U1NC0iOmpXlfMnj27ZMmSosAw8XH+%20/Pm///7bzs5OlA3F48ePw8LCxI5nDIwWcHt6em7YsGHXrl04j2/SpAmUgupVAm4/P7/cuXP37NlT%20lCMj3717lylTplmzZuGMP3369MoBN9QnWbJkW7duxbAiKF+7dq1oiIykv6yZ0xnVvn37xo4dO336%20dH4Pt2nCATfDmDG6CrgbN268e/duUWAYRm+kTZuW/uxjLEziocmfP39WqlSpQYMGoqwEB9yxsWbN%20mkGDBiHHgIgqxpTggJthzBhdBdxNmzbdsGGDKDAMozfSpUuXqANuxfXsMmXKVKtWjWxlOOCOjaVL%20l/bt23fLli30JDtjanDAzTBmDAfcDCMtEl3AHf2Zxbt371auXNnOzu7Zs2eiSomvX7+mTp06Qfdw%20Ozg4JIZ7uBFw9+vXjwNuk4UDboYxY7Zv3x7jX2UTSosWLTjgZhgDkEivcHfp0gXhb5IkSZBDbkRt%207KxcuRI9iZw5c759+1Y0REZOnjxZNMhkZcqUUf52Lj2RTUtp0qSJqDUXOOA2cTjgZhgz5uTJk7lz%20566qNRkyZDCnK0Fxc//+/du3bxvmo5uHDh16+PBhbJK4b98+xZNjegKLdnV13bt37+HDh93d3UWt%20/MrgqVOnvnz5Isoa8e+//16/fj2h344JCQk5ceKEj4+P4tInxiHGa50GBgN169YtfTsGX+EWxFYP%20YmyiSs2azAMOuE0cDrgZxoxBxDNu3DhR0AJ1bilZvXp1o0aNZPJX6Pbo0ePz589Uj7itQoUKqEfg%20fuXKFVPe/QMDA+3s7LJkyYL1//r1q6g1FN+/f+/UqZNhAn3Czc2tV69eOEzDPnr0aJ8+fRD9U5Ox%20ePHiRfXq1ZMkSXLmzBnTcRU4xty5c+EYXbt21bdjJPZ7uBmN4YDbxOGA2zRxdHRs06YNDjxVqlSp%20pk8QA2ERjRs3xuEkEX7E2OwxZMBNHDt2rGTJknfu3FG+cjR58mTl67hw740bN+K4cOnSJaohMBXq%20N2/efPXqVRTDw8PRc9euXQjTUXz79i2aDh48+PHjx5CQkJ07d6L19u3baEKUhrlh0fQi8B8/fpw7%20dw5LRE/M8MCBAzgAIZA9efIk5nDhwoXor10LDg7GJOh8+vTpzp07t2/fXhFXffr0CXOgJsVfpxES%20Xb58GfPH6cSmTZsuXryovPu8evUKq41Jtm3bprhI7Ofnh0qsNpaFSBfjg0n27dtH0RV6pk2b9q+/%20/qJXBqMGy9qzZ4/ivOXWrVuYIVD59iEWffPmTXRG0+7duzEUouE32FhsMlqxnvAHqsQAYpCHDx/+%20xx9/9O/fH/N8/fo1NREYWPw6GEkq+vr6Hj58GDPBOCtfbMaWnj17FmOFRWD+yHHaQE34+U6cOIHO%209Jmkly9f7tixA3NAJB3ja+/w+27duhUdXFxcLC0tFQE3ZojVo18WYFqMFbohV3yOFKsKOygoCPUY%20ZBoEjAxW6ciRI4qfBmuiGAqsNlVi/hiW58+fv3nzBk3YTOVwBQN1/vx51OPX79atG2SZA27GROGA%2028ThgNs0GTp0aGYrK5sC1kOLFB5QqKD+0qDChYYUKVw0fbry5csrjpSM2RBbwO3p6Ylw5Bq4GkO6%20fu26s7PzjevXEWZR/wQ9NLlw4cI8efI8ffpUUUQghcCFijKZbN68eTAQgcFGLIvQE2GltbX18uXL%20UY94NE2aNIrVbtSoUbt27cjGPBGKIfSBjViwVq1affr0oSYEUghYEXUhMuvZsyeilhIlSqxcuRJN%20tra2SZMmnTNnDmJfRLoVKlTACQBNRRw6dAgnn4h9YSPszpYtG0IrxMcozpgxY9SoURQyjh49GgEx%20omHEkWXLlsXiOnToQIEgZK1ixYr09lsbGxvUBwQEwEYgiG3EhAhns2fPTpEfzm8nTpz45MmTZs2a%20YcUwN5p/x44dFbeVohXn22jFyYa/v3+lSpUmTZpETfSJve3bt2NIR44cmSFDhkKFCv39999oQiWG%20ztvbm3oCnMNg116/fj1sjNigQYNSp06Nn55asXpFihRR/owogA7gh8iZM6firAPF2rVr07c/8asV%20K1asRo0aOKY7OTlhqzNmzFivXj13d3dMWLBgQfy42Bz8oIjjU6ZMiWkxFA0aNMCq0jkYfpe2bdsq%20XAvgXKhXr17wMSr27duXrnCjP+LgmjVroojTGzQh2sa2I6KAjd8aNpxh/PjxWAcsGqOK+v3799OY%20Y5Uw5/r165P/3L9/v1y5cg4ODrBRP2zYMPyCiLzhLTBKly6NCB5NI0aMqFKlCn33FCMDx6AzHAwa%20fkGcjHHAzZgoHHCbOAi4a1Sr+eVjUNj3SP/PP/SXQv0jg7/9atu6PQfc6oCDAQLuntb5ERD3LVhA%20f6l/oYIDCxUski4dDpwccJsfsQXc+/btX7JwVci3SB9P/+jpq3fQmxfeq5avO3PmLO2tCX1LyZAh%20Q4oXL/727dujR48i9KHPuRMIZBH/TZ8+vXnz5ggoEYsjrnJ0dIQteiiBmBKhHgVM6Hbjxo1kyZJR%20wP3p0ycERhRwowkLQqTi4uKC4rNnzxChUviFpjVr1uTOnfvevXsoIlxGsIigCjbx7t07hLmDBw+m%20IsIpBJoAuwOCS4T7CFixAogRu3btioAV64BuCCsRc9Old4DoEIHs+fPnEeBmzpyZYncCEWeOHDlw%20BESgjFgTsSBOALCGWDGsjJWV1fHjxyngbt26NaJDxS0l2BaMCfLNmzfjNEMRRiNqHzhwIIYXNtYW%20m0NvSMMMsRqpUqXCuYe8Y9TLGxCMFi5cWHGhGjEowv0uXbpQEYtGnBr97vxv377h0IDzAcTKHh4e%20WMTQoUNFW2QkzhBw4kHhKc6mMD4I3GFjxTDsAwYMoKvyb968yZcv34oVK+CEOCug8Y8RrAa2lM5w%20AMZQ+Qo3zgrRSgE3wDisWrUKp0wI4pMnT37s2DGcocFJaKMwCOiJUcWJE4o4HWrTpg1+RNjwB2ys%20YihwCgSv7tGjB06TsAn4UVCJJcIoWrQoAn04GEYAm0P9sXqdOnXiK9yM6bJs2TIE3DiJNK4DMbHR%20qVPnP/7IUrhQkb+KFC1S+C99pz//zFq7dh0OuOOFA25GJ8QWcB84cBABN86EVf4SRenT+2/uT9+v%20XrHu33/PaRZwh4WFIR4qXbp05cqVla9lIiRFxElXgh89eoS4ii4fIjj7888/4fbyXlFQTIzwCCFR%20hQoVqHL+/PkWFhaI5hEFIgBChEqxFFYS4RTCLOQIyHC4QSyueDkYAta8efPSjRBYNIIz5TFBmDhl%20ypQ8efJg3VDESQKiXkTGu3fvxiIQYdetW/fVq1fUee7cuYjsYdjb2yOM3rt3L9Xb2Ngg4EPsjhi3%20RYsWmBxRI+oRSSMGnTlzJubQqlUr2nAaBAwLKrHOtFyAOaAzDAoWEaEi0Lx//z421traGucntIe+%20f/8ei6ZxQ3SOzcHSYQNE54j7b968SUX8CgiOs2fPPnLkSKrBymPdnJ2dqYhFIxw/ePAgFRVgTDBP%20rDBOeLCIadOm4YwFp0bUiuC7Q4cOdAsK4mn8OoolVq1aFT8crSeCXaw2znYQvqMec1Ocd/39998f%20P34kG+BsBGcpij9WYFRxWtW3b98HDx6giBzjQONJV69pPojy4Qw0VvXq1cMZAgyAnhhVuisJa4JV%20pWvnp06dwlAMHz4cQTmKGBmctNy+fRunVVA//KBRE8tPITBEcEjYOC3MlSsXdiLYGPaGDRsWK1Zs%20x44d2CJ5X73AATejIZA8nBSePn1acfLKMEy8cMDN6ARjBdwAmo9AVuXOYLB8+fL+/fv36tVr165d%20WLcBAwYgIKalzJs3r3fv3mhCsEWdiVGjRqFy8ODBrq6u48ePR+hD9cHBwQgl0YT53LhxA2EcoljE%20eeiJuApx4apVqy5evDhw4EB0mzFjxpEjRxBCoQkhO91loeDWrVuYCrPCOiDkcnR0FA3ygG/s2LFo%20AnRbBUC3mjVrYm6ILxGb0pV1BQjjxowZg21BEEm3fSNGRADt4OCAbe/Xrx/W8+HDh1jD0aNHowax%20I6JAxKBYEKZCZ2wOulErLfTQoUMYFrQqLs9jh8V2YXMgF7a2tgjNMQnGCihubgY4acHGYk0wLeJj%20qgwICNi+fTtmjjngJ5gzZ44iyPvy5cvatWuxbpjt0qVL6Z4ZnEugD+aAjVXMHOEvBg3rg84I4hcs%20WEBju3Hjxrt37yJMx8wx+BTQ79y5E+tPwxhjwIrBxMzRinMJbLinpycqMZJYSRSxafS3BTs7O8wH%20m4MzIhofrBUNwqxZszCqNG4YBCcnJ6wz6gFWBtPi5AFuTEOxbNky1OAUSLEJmzZtQlCOUywUcY5E%20Z0fYEGwR1grLXbRoEZwWlXqFA25GQyCO7du3h+QpTm0ZhokXHCE44Ga0x4gBt3mDSLRChQqIcUWZ%20YXQEB9xMXNAfaGLk77//7tKli+LvTSrEMSHDJGY44GZ0QmwBt+Oevbb/LPz03v/1M6/o6e3LT4/v%20v1i6ePmZ0+I+2k6dOjVq1AizYoC1tbXsN/9r7zzAorgWv70gIoLYEOwK2HvDgg2xV8DesQUsibFc%20e0FQwIKisSFYrlhiufYa/du71xK7YkFQo6IYrw1Bxf1+7Jnst0EgCAu7s/zeZ9zntDlzZnbmnPeM%20w06HDh2kVBmCAVr9B5RET6Bwk3/g4cOHffr0KVWqVL58+axV2NjY4NPc3DxHjhx58+YtUKCASEcB%209Fbdu3cX/19DCPkWCjfRCskJ96PHj3ft2rV9+44dO3cmuWzZsvXQ/x1SP37dunXrTPjPdJLJbNq0%20SStv/idahMJNUoJ3uAnRLhRuohWSE+7vhY+UGCT//ve/W7RoIUWIfkDhJmlk7NixnTt3PnLkCJ/h%20JiT1ULiJVqBwkxRYtWpV27ZtpQjRDywtLSncJC1QuAlJAxRuohUo3CQF1q9fX6ZMmZkkKby8vFxd%20Xbt16ybFM4vQ0FD1W6J0gm6EO8kHHpJ7CiKFwmnLMgwo3ISkAQo30QqZLNw7d+7s06fPgAED8Ime%20/+rVq2kbzuLj4wMDAy9duiTF/4no6OgFCxbcuXNHiqeDd+/ezZ07N1++fF26dEnPK0727Nmjfit7%20cmzevFm8exIsXLjw7Nmz4k9UMw0+UpIC//vf/3B8/vOf/0jxLIPO7nAfP37cxMRE/DGysbGx+gfq%20k2TJkiWiJChWrJj6t0LBpEmTpAyFokaNGjExMVKGUtmvXz8kGhkZ4ROdmpRqKEC40W1RuAn5Lijc%20RCukKNzxyvjPyvgvyS7K/+/K33WHu2zZsjiBP3/+LMXlxocPHzBsgTS/PmLmzJkNGzYUv2CdHCNG%20jGjWrJkU0REU7hSgcGcqgwcPxjRdiqioWLFizZo1pYgGmAdbWFj07NlTiqt+5T5btmzQzefPn8Ok%201a+8Ardu3ULKsmXLrly5gsCKFSukDNWbkJDy7XtW5Yu7u3vLli3v3r0r386XkMyHwk20QnLCvXrN%20+lJO/Z1Hb3X6+dckl0Y/byjX8qfARSEfPyScFd8l3KVLl/b09BS2unv37tatW//yyy8Y6eCgzs7O%20N27cQPr06dPz5MmDkq6uriEhIf379y9RokRUVBSyrl69Wr16dQyF4mWBX79+9fPzw1iMGsaNG2dt%20bS1eJC7AyHLgwAEovpWV1f3791FDjx49zMzMatSoMXToULQZQung4AADXrhw4cSJEytXrrxt27Z7%209+61b98+d+7cGNNnzJiBBjRq1Kh79+7i/YIY0N3c3Lp27Sp2AbkNGjTw9fVFm4sVKzZr1iwkbt26%20tVy5cjY2Nk2aNJk3b97UqVPR/l27diELu4yN2tnZ+fv7YxcGDRrUvHnzJUuW/Pzzz9jikSNH4uPj%20f/3117p166LZSN+8eTPqx/7u27dP3OFGLlZB40HVqlU7dOiAhuF7NDc3r1ChAnYQh6Jbt26VKlUS%20b9VJMxTuFKBw6wb1//Lg/E5SuHFZFi9evG/fvlJc9Vqm/Pnze3t7Y46LbkVTuC9cuJA9e/bVq1ej%2034GUBwUFSRlK5fbt23HVGdIX3KtXL3Qc4eHhmfw/ZYTIGgo30QrJCff6DZtrdhzn5n/G1efwt4vb%209CMuPkdrd/NaFPzvjx8SlC4Nwo3T6fLlyzly5Dh48KD6wRLIor29vXjRYJcuXSCdIj0yMhKjIVRY%20RM+cOYPo+fPnMXCEhoaampp++fIF6fiEwl6/fl0UE6DM2rVrIdzQaERRFQx72LBhCGO7aDYsWbwk%20/Nq1a40bNx4yZAjCJ06cwGgO30UYYFyGi4tjlUi4sdatW7fu3LmDFTGs9+vX7+nTp0ifM2cO9Fe8%20BjI2NhZmPHbsWPF/uSNGjKhTp45oz9GjR6EB2BwUH0P/3LlzxRO6OBRojCgPGTAxMcHMAeFDhw5B%20A8SL6AVw4mrVqiGAwVT4Mfbr4sWLqA36riqSRijcKUDh1hk46LgGduzYIcX/DoU7OSjchKQBCjfR%20CjoXbrjy/PnzhS4DDw8PjAjiviyktmnTpnFxcQg/fPgQo+Gvv/6KMGwSHimEG+HNmzcbGxurn4eG%20re7evVuEBahhxYoVBQoUEIIbFhaGk3n06NEIY/Xg4OCiRYuKx8Ghzo0aNRIujiOjKdzw1yZNmsyc%20ORNhtXC/ffv2w4cPQ4cORfjkyZOw6g4dOnTv3v3Zs2co5uvrixrEe87RKgg3PFs4+vDhw+vVq4eB%20D3uKLU6cOBHGHxMTY21tHRAQIIS7W7du2KIQbjRPCDcajIZBAzZt2oR0AWYmHTt2xDHE4ULDkIJi%20EH2ssm/fPlEmbVC4U4DCnangnBaBc+fOTZkypXPnzjdv3hQpiaBwJweFm5A0QOEmWiGThXvdunWQ%20SIxiOXPmrFatGga7yMhIOKKdnV2tWrXKli27YcMGcZr17t1b/H1Uu3bt4OWwVYRhxqGhofv37xev%20cqxQoYK4g3vixAlEHVRAOjXv/kJeV61aVahQIRSAO27btg2mizCG3XHjxu3cuVNktW7dGu1v27Yt%20whYWFjNmzICwVq9eHbW5uroigHUPHz6MceqPP/74+eefMTRjmMahi4qKwsVobm5eo0aN/v37lyxZ%20ElMITCdg4YULF0Zt2E1Y78CBAxHOlSvX5MmTIWqYKmACUKlSpWXLlpUvX75IkSJoOSwcZZCOhkG+%20oddGRkaoFnODihUrIsvW1lbMJTBzcHJyEgetVKlSOCAoLxqPgyZebVGmTBlEUTm0QRyKNEDhTgEK%20dyahVm1c2Og+Fi5ciGkuoiNHjsSlKLI0wYQYVxqf4f4WCjchaYDCTbSCTu5wy4KDBw/CszG4S/Es%20CYU7BSjcmQoEGvqLmTrmlJiJGhsbIwqDlLK/YenSpSggKF68uOZPl2PWK2UoFDVr1hT/oyTApBmJ%20onL1T9CrjV/uULgJSQMUbqIVKNxJcuTIkRIlSmDMzZcv3+LFi6XUrAeFOwUo3PrCt0KcpCKLxLRl%20GQYUbkLSAIWbaIXkhHvtul9L13Cu7/aTo8uQJBbXIXXaD67s2GZZ8PLY2ITbQ4Z3h5sACncKULiJ%20zKBwE5IGKNxEKyQn3BIJN3eSWf5+34fCbZBQuFOAwk1kRs+ePZs1axYREUHhJiT1ULiJVvgH4U41%20FG6DhMKdAhRuIjOaNm1ap04dvvWGkO+Cwk20graE293dPXfu3AWJYZEzZ06FQiFFdETDhg1fvXol%20nWf6BIWbyIwmTZpgIDekp9IJyQQo3EQraPEO98qVK6UIIdojb968jx49kiL6BIWbyAwKt4yIjY19%20+vRpREREeHj4w8wiMvLB69cvpBaQv6BwE63AR0qInkPh1jco3HKFwi0jMDabm5v376/45RfFzJkZ%20vgQEKPz9FY6Oii5d2kktIH9B4SZagcJN9BwKt75B4ZYrFG4ZId67tG8fLrfMW1q0UHTt2lVqAfkL%20CjfRCskJ96pVyyZMyB4dbRoZmfQSFWW6dKlpUNDEV68SXvpG4SYZBIVb38DATGQJhVtGCOHeu/dv%20QpyhS3w8hTtpKNxEKyQn3KtXhwQEJL4eEy1btypWrJgYHR2D8qkR7h49epibm8OfLCwszFTkyZPn%20/PnzyPrhhx8sLS2RhU9nZ+d37xJepgMWL16cW4UoL1bHp4iCfPnyeXt7i8KpBP2YuoZmzZqFh4ev%20WbNm8+bNVatWRcNQf5EiRX755RdR+M6dO66urmiVus2a7QGoysnJ6cqVK6J8kjx58qRBgwYojBU7%20d+6s+c47RFFDrly5kBsQMMfOzk5VqxlScHBEOGfOnG3bthWvw3v16lVMTMIBV/Ply5fy5cujkvz5%2087u7u0upGqC8j4+POG6VKlWSUpMiLCxs/vz5CFy+fLls2bIoP2vWLJH1vbx48cLNzc3IyGjs2LHq%20bzNtoOUUbr0CFz+RJRRuGUHh1h8o3EQrZKZwgwcPHtjY2ISEhHz69AnRS5cuWVlZOTo6ip+hGDly%20ZPPmzROdZgsWLDhw4IAInzp1ytjY+PTp0yIKPnz4sBXtUCgaNWokJSXD69evhw8fXqxYsWvXrql/%20hRaBI0eOtG/f/r///S+iEM2WLVvOnj1b5AqQuGTJErQcYThWt27doJKoTeTCdyMiIrBW9uzZt2/f%20LhKTY8yYMY0bN86RIweOlTgCAO0JCAh4+/btjh07cEBQIRKnTJlSokQJ9a9zeHh4aL5/+luOHTuG%20mnEcsKKUpALHB9LcqVMnuP7hw4el1KTAnKF48eJeXl4ievbs2Zo1a/r6+opoGkDj69ev/9NPP1G4%20DQxc/ESWNG3atG7dulKE6DcUbv2Bwk20QiYL9/379yHcwcHBcXFxiN67dw/RqlWrvnz5UhTo2LGj%20pnPDQeF8wkHByZMnIdzQbhEVQJp3796NrmnSpElS0jdgcytXrsS6c+bMkZI0QP1qBT969Gj16tUD%20AwNFFDI9f/78ffv2iSg8Wwj3n3/+KVIEz58/R7MrV6588eJFKSkphg4dCq+FgJYvXx4GHBYWhsSr%20V6+iVdHR0aKMQAi3ZiJqtrCwwG7CmxPdokIUwg21RVUoMHnyZJGOvQ4NDR0xYsT58+dh+YcOHULi%20kydP2rZti6MBF1+/fj2asXPnTuw+phwwbJwMMTExOCDnzp3D91K4cOFRo0ZBndEJt2vXTkwSMOFB%20DQsXLkQNe/futbW17d+/P+wTWdgQvH/p0qXIwtdhZGSEOQbCaEmXLl22bduGMEb8zp07oxkJTUwF%20FG59Axc/0V82btyIa7VKlSroZSqqqFSpEj7LlCljaWmJCx5hdFXIRXrLli1DQkKkNYk+QeHWHyjc%20RCtkvnCXKlUK4ptNBfoTGGFsbKyUrbLnatWqDRw4EG4HxWzVqpXmnd3khFt0TePHj5eSvgGnro+P%20T65cuTZv3iwlJQ+8EGPTli1b0AY/Pz/NxyqSE25MGNDUChUqXLhwQUpKCgi3MHIockBAgJmZ2fDh%20w+HKc+fO/UfhBnBiHDR4c5LCjaoQvnz5stq5V69eDV1G4Pjx4xBumDr2aPbs2fBgcfxxMFG4Tp06%20KHPt2jUHB4cJEyYgDMQd7hkzZiCMI+zt7Y0x+u7du9hTV1dXGLP67RkHDhzA4B4UFPTixQtUpb4p%20HhUVpXmHGwETExNTU1N8WWhwol1IAQq3voGLXzckOmlSOIeSzBKJacsyANB5ubi4dOzYUYoT/SYL%20CjdUYOnSpQMGDOjSpQuagbFWu2Dc6tu3r4+3d+rv9wgo3EQr6PYOd5I8e/bMwsLC09PT3t7+w4eE%20v8hU861wwwUhfDBI2GHKI+PTp09btmxZsmTJ8PBwKUkFHHTv3r3z5s2T4qo64dlFixZt167duHHj%20pFQVSQo3tBgDGfrGjRs3SknJoBZuATZUtWpVNB6Xs/oZFUGahRvhS5cuoTHly5fv3r07okAt3Ciw%20atWqggULvn37VrVqwkM+mIogkKRwC3tWC3dYWBjmP4MGDcLUQjx8D9asWdOsWTO0Cl9W69at+/Xr%20J+52q4Ub6djcypUrb9269eXLlz179uTLlw+jiVj9H6Fw6xu4+HVJ48aNHR0dpUjyLFy4EJeBABdz%20RESElKFUYmouZSgUmN+rLwaA8VjKUCgwh5ZS5Q+u4cePH7dv3x7CjR5BSiV6TBYU7jdv3tSoUWOI%20W0PlmcVfji+IPRKo3UV5YdnKCb2gF+IR0tRD4SZaITnh3rlza58+tr6+hXx8iiS5zJhRaOBAm3//%20e8GHDwnqnBrhxoUs7qqC/PnzJxJfTS5fvmxqanrlyhXNoQEGKdbVJGfOnDt27FAXe/XqFYQeJFJV%20NRhbp02bJq1sbFyoUKEk/0P13bt3MEUIuniIQgC7QqukNTXo2bMnxjKpkFKJ+TkSAwMDMcZJSffu%20nR42rEKePKL8ZB+f/8HSVq9Gc5H522+/+c+ZEx0aqsQSE3Pz1i0IsbGRUUeFoqdCMX3SpI+q/wHY%20tmNHnxw5eikUyFq3bp16l6Gw4j8NgLm5uRD6q1evYlaAADweciJyQdmyZZGI1qJbEynqRzph0mgz%20UqAZaJKlpSXC0PTBgwfPmTNHVdYYCi5mO5j5qGvA8RQ1CEaNGiXScUpgyjR69Ggh3JiNwMWtra2R%20tWLFitQP+hRufQNjs27AVLJRo0awEFyZUlJSYDaMMRWXpRRXDeToesaOHfv8+XOsrvnwGWaBSFm2%20bBm6GwRwakoZfxkPLjYpLmco3LIjywr3UAj32SVfTyz8dHS+dhflpeBVEyncRGckJ9zfSyrvcBPy%20vVC49Q2MzTpArYlOTk4p/+UfZpnFixfv27evFFcqcQJhiu/t7f3ixYs8efJoCveFCxeyZ8++evXq%20GzduQMqDgoKkDKVy+/btMB7D+IIp3LKDwp1Il9O/ULiJbqFwEz2Hwq1vYGzWJQ0bNqxXr54USQoK%2097dQuGUHhTuRLqd/oXAT3aJ14XZ3dzcyMsIQRtJDgQIF1L/cksWhcOsbGJt1CYU7DVC4ZQeFO5Eu%20p3+hcBPdoi3hHj9+vLm5eY4cOYyNjXfu3CmlkrRSpEgRU1NTHE9StmxZaJJ0XPQJCnemotZEZ2dn%20OLcIJ+mOf/75Z65cub7rGe7g4GDxm5p8hpvoCRTuRLqc/oXCTXSLtoRbjZOT04YNG6QISSu5c+fW%20fCEl0UMo3JnN4cOHzczMTFRgKqZ+IZYmapsMCQmBrxgZGeHT1tYWqi3SwbRp05CISvCJgU39C5fg%20hx9+QGL27Nnx6eLiIhINwFAp3LKDwp1Il9O/ULiJbklOuD+8/xAe/vD2nTt3wu4mtYTdvhP2KCLy%20499fMw4o3FqBwq3/ULgzlSQ1MTl3TKHwd9UDUsiSEZ8+fUJn7ubm1rNnT8PYI4OHwp1Il9O/ULiJ%20bklOuFetXBH4s5vybihO0SSWqyuUpwI3+v/4fwf2f/nrt+8EeivcMTExT58+1byZpc9QuPUfCjeR%20De/evTt58mSPHj1++uknPRFufWiGPs89sqZwV69efWTXJsob/1b+vlx5YZmWl7trN3r3p3ATXZGc%20cK/+96qAoR2UF4ISTRHFojy58O0+/9U+Qw4d/C3+7z1WaoS7e/fuEEp0Jqampvn+AtHz589Di6VC%202iMuLu7XX381Nze3t7e/f/++lKrfULj1Hwo3kQ0Q7hMnTvTs2VN/hBu8ffu2Xbt2JqY5c+a2zpm7%20gFmmLDnzWJvlym+ZO8+CBQukduglWVC4oZjYurW1ddEMI2/evA41qt64fk3aZOqgcBOtoBPhBmFh%20YZDs0NBQ9ZtloMW4Fjp27Kg+zaKjo+/cuXP79m0Ujle/REb1zkgQGxuLdPFTHl++fEFYlIyKihLF%20BKgE6SAkJMTGxkYt3OKZRqQjRbx7XK+gcOs/FG4iG/RTuF+/fl2pUqXSDbr3mH+ta8DFLrPPZ8LS%2085cb7afsy2VVbPLkyVI79JKsJtyZfFp+1+Yo3EQr6FC4raysfH19L126dFVFq1atKlSocPr0aagw%20BBpDQ6dOnUThuXPnoufZtGkTrhGkm5mZNWzY0N3dfaaKDx8+IHft2rUoiTImJiYXLlxA+MWLF716%209YLBIwztLly4cMmSJYVwY6ONGzcWL03cvn077FbffoqAwq3/ULiJbNBb4a5atap9vU6dZ55xm3HM%201edwJixdZp1rNfY/FvmLTJkyRWqHXpIF73DrLRRuohVSEO65w1yUl5Z9Of7Lt4vy9KL3v81cM31o%20eoQ7b968mrIifjkAHgw53rZtm7Gx8fXr19VDw5gxY6DLcHGktGzZUry3XM3nz58vXryIMoUKFYKq%20HjhwAMoOF4dkiwJxcXHBwcE2Njbh4eE4jSdOnGhubl5cha2tbeXKlTEMiZJ6AoVb/6FwE9lA4VYv%20FO7kFgp3clC4iVZITrjXr1nr0cFp//yRW2f/+O2yI2D4Ou+BE4f0/r+DBxP13akUbohvvnz51q9f%20L8VVfa+npyd6mKNHj96+fbtIkSJ9+vR58+YNsqDLDg4OM2bMECNF69atO3TooFop4ckQGA/WEg9/%20HzlyxNTU9NChQwjv2bPHzMxM/Cg4jHzOnDnY4q5du1DnqlWrSpQocevWrYQqVDe8oeAirCdQuPUf%20CjeRDRRu9ULhTm6hcCcHhZtoheSEO82kRrgh1hUrVqxbt26VKlXKlStXVgXCgwcPlkqoCAkJqVat%20GgqgsEjBSNG8efNaKtq0aSMS4dwuLi4ogxp8fX3r1auH3IULFyILZ2ydOnVQORK9vLzc3NyEwYPo%206Gh0LGLTibarD1C49R8KN5ENFG71QuFObqFwJweFm2gFrQt348aNt2zZIkVIWqFw6z8UbiIbINz6%209rOAgMKdAkK4AwMVt28rzp3L8OXKFcXZswpHR4X4syeiCYWbaAWtCzeuVvQSpUuXrkH+iezZs1+9%20elU6cH+Hwq3/ULiJbIDa7t69293dfeLEiRRuWQj3s2fPNm/evGbNmrWZyKpVK86dOyG1gPwFhZto%20hQwS7j179khxkjx2dnbJ/QA/hVv/oXAT2RAVFQV18/DwmDVrFoVbFsJN9AcKN9EKFG4dQuGWNRRu%20IhvevHmzYcOGIUOGzJs3T0rSAyjcRBZQuIlWSFG4v6Z6+f+4ublRuFNJuXLlvLy8IG3fYmZm9vTp%20U6kc0Uso3EQf2bp1a7du3erXr48xu54KR0fHWrVqlSpVysbGpkSJEiKlTp06CHTq1Ck0NFRaM9Oh%20cBNZQOEmWiE54Q5euU5hUkZh2UiRp+E/LPmbKhRWXlN9P8V9FOs6OTlt2rRJhNPP8uXLL126lMr/%20BY2JiVm2bNnt27eluAaPHj3asmXLu79eKgmdXblyZUREhIjqBFtb27CwMClC5AaFWzeIN2MJEBaJ%206CCkJBWa/UWiLCk1ixEdHb127VpPT8/Zs2dLSXoAhTtronkJ6zmiwcOGDctk4XZwcBA/qSa14y/0%2053kwkgaSE+7Q9duyFW6pKDFAYdv/H5ZSQxTG1fz9AtTC3aBBg82bN4twkvzxxx8//PCDi4uL+PPK%2033//XcpQveAGq9vZ2bVv3/7hw4eJzi4oTpcuXaRIqvn8+TN2s1q1auo3TeoJKTxSQvQfCnemou4L%20MKFHx9G8eXNHR0c/Pz+k4Cry8vJydnZu2rQpctu0abNgwQLMZTGuHzlyBH0KEps1a9a4cWM3N7fg%204OAHDx6IqrIOfIZbvVC4dU737t0V2cwVFnYKC3vVp54v9gpjiwI5smeacJfPY6lQmCjMS2ocH3tF%20zmIKE8ut23ZIB5HIEJ0It5oBAwYsXLgQo6e7u7v6XhVGTwwKsbGxCL9//z4kJOTJkycIz507N0eO%20HOXKlUNAvLx9//79v/3224sXLxYtWnT+/HmkPH/+fPny5a9evUJYcO7cuYCAgKCgoJUrV9rY2KiF%20+86dO+vWrXv79i3C796927Fjx5UrV5CLwqGhoZp3vuFVGzduRDp2Srv/yUPhljUU7swGF3mlSpXQ%20X8CtpSSl8tOnT2XLlm3VqpUUV/0/V6FChTw9PT98+GBtbQ3LlDKUSlzY6ETGjRsnxbMMFG71QuHW%20Oa1bt06wSbsfFPaeCrtB+r2gkYMVFuWssisy7w53rhwKk/yKku4JmxbNKDVMUag1ur5du3ZJB5HI%20EN0Kd7du3YRM9+zZE+fS9u3bEYZMY1CIi4sLDw/v0KGDkZHR4cOHxRjh4uKifsekr68vRtUKFSrM%20nz9/586dW7duhTE7OTnlzp372rVrKIDVGzVqNGHCBIQxBDdu3LhYsWIPHjyA2cPUa9asiXWxdQDv%20z5MnT61atSDWKDx69OjatWuLh092795dpUqV1atXI7xt2zYUw1qIqqcH6YHCLWso3JmKpiZi1MmW%20LZt4wxaEu3Llyur3YAFoXPHixX/88UcIN655mLeUoVTeu3fP0tJy0qRJUjzLQOFWLxRunYOrVWFe%20QmE7IEElE/mEvi12AxOc26Jspgt3PkXJPgo7D6kZMO+CLRUKIwq3rNET4QZHjx4tWrSoo6Mj1lXf%204YaPYmBVCzeuU8yNVcUTxtlmzZppPmHy5csXKHvOnDmvX78OX/f39y9cuLDIQjQ4OFh9h/vjx49z%205861tbUVd7Kh+LBtHx8fhGHSM2fOLFeuHCpB9NixY8iC0yN88+ZNyHeShyttULhlDYVbN6h9sVKl%20SphSI+rg4EDhTpkXL16sXbv2hx9+QO9G4aZw6xYKd3ILhduw0a1w9+7dWzzUoQZDoUKhwCcUGdFb%20t25BuMXjIqBz587169dHQJx1rVq1SvRI98GDB83NzcPDwxE+deqUkZGRt7e3yBozZgyyxo0bFxkZ%20ieiSJUvs7e1fvnyJMLZSu3ZtjESqgkrodcWKFUUlYWFhixYtmqBi6tSply5dEmW0AoVb1lC4dYPa%20FytXrty4cWMKd2p4/PhxYGDgTz/9FBwcTOGmcOsWfRTukmiJR4LX2nv+bYHflP5Rkat8geyKQaVL%20/Vy+3NCyZTJu+bFc2eHly1W0NFOYWCW4PjYtmlHmZ0XhdhDuI0eOSAcxHehPD5DVSE64V6/dZGZd%20M1fx1rlK/sOS297FyKTYTP/Zn+IS7kkDOPE//izgxYsXIbhz5szx8fG5cuWKlKoCCi7uLmOMQJkF%20Cxb4+vpioETKx48f582bJ25FL1y4MEBFSEhIwmqqO9B+fn7QZSQ+f/5cJGKUgXPPnTv38OHD4skQ%20cObMGdSMrBUrVly9ehW5qBaN2bdvHxqDLESRBaN68OABRmdsEZUIRo0adfz4cVFPOilVqlSSP6hC%20ZAGFO1OBnP3xxx/Pnj1DL7By5UrMnnFJI/3Tp09NmjTp2LHjq1evoqOj37x5c/fu3SpVqkycODEm%20JqZGjRpDhgxBnxIVFfX+/XvM3UuWLKmeW2cdHj58iF5s5MiRa9eulZL0AAp31kS/hLvkIBO7PhUq%201yprX9TaKq9NgXw21vk1FkTzFbQpYG1jk9/aOl8B63z4zNClgHUBG5uCNtZ/bV3dDCubdGBtbV2k%20SBFcbjAb6WsgmU5ywp0exM+PdO3adZz8wag9efJkKaICvfTUqVOlSPrARAL1SxFd0KtXLwiJ9LWR%2074TCnalAsvv16zds2DB3d/fly5eLRPXfUmC27eHh4enpOXDgwDFjxmj+x9mpU6cGDBgA7e7fvz9m%20zCIxq93jiYiIoHCLhcKtc/RLuO09FUW7QVm8piT8vZcB8+LFi4IFC86dO1eKk0wn44R7//79Upzo%20K2fPni1VqpQUId8JhZvIBgq3eqFw6xw9E24PRbEE4Z4wbrTUPgPl/v37hQoVonDrEAp3VobCnR4o%203EQ2ULjVC4Vb51C4dQKFW+dkhHB36NCBwi0LKNzpgcJNZAOFW71QuHUOhVsnULh1TkYI96lTp6Bx%20O3fulOJEX6FwpwcKN5ENFG71QuHWORRunUDh1jkZIdygXr1627ZtkyKpYMCAAbgGW6uIjo4+duzY%20zZs3tfJyme/l4cOHBw8elCLJc+HChYsXL0oR1c9179ixA8OHFJcJFO70QOEmskFvhbtKlSqlHDt3%20nfPfTv6nOvoez4Sla8DFNuO3U7h1CIVbJ0RGRhYuXFi8VYTohOSE++TJk76+vr/++uuaVLN+/frF%20i5Z6TfV69epVo0aNUiPc//3vfytUqADbFu+jEezdu7ds2bKo7cuXL1JSZnH79m20PDAwUIonw/79%20+x0dHQ3gFj6FOz1QuIlsgHDPmDEDwo2eWq9+hxsDgKV1SVuH9iVrti1Rs00mLLYOHYpWaWqSw3zi%20xIlSO0jmQuEGew8ddh8yzL1XT/fuXd17ds/oxaNf347t2pgqFHXq1BkyZMigQYMG6pr+/fsPHjx4%20+vTp4lefswLJCffVq1dhY1Ik1bx8+XLWrFlPnjxp3LjxPwr306dPCxQoUL9+fQi6lPQX7969E2+g%20nDlzJsYIyDck2MbGZs+ePRgskJIzZ87y5cu7urpiStCvX78SJUpMnTo1ICBg1apVpUuXFr/99fbt%20W/SoEyZMQJkxY8ag/KVLl9DCTp06mZmZVa1aFd81am7RogXq+fz5M7aIFe3s7Lp37w7pj4qKgljX%20rVt32rRpQUFB1atXx8QADbtx48aPP/5oa2s7fPjww4cPY9KITaBCDw+PuLg4TCF69uzp5eWFjeJ0%20wlbEcYCZoZGYXjZs2BC1YUNFihQRvyOsQyjc6YHCTWRDWFgYuq1Jkybp29/WoNP8qCPQ6UuNIJkL%20hRtMmzRRYWRSbsSMmjP/Xc17aaYt1b9J0dVSa3Zoqb7DFUZG//jeFoMhOeG+cuXK6dOnpUiqef78%20ORQ5lcJ94MABS0tLqPD79++lpL9z5MiRXLlyOTo6YkoG8c2ePTsuCnF3pnXr1k2bNkUA0evXrxsb%20G+/btw9RCHHv3r1r166N8PLlyy0sLCD0WB26jHXh4kiPiIhwcHDA6CNWR7HixYuLV+2cOnWqRo0a%20/v7+CIPHjx9j4oHdwSGCK2OLd+/eRfq6detQ4YYNG0SxN2/eNG/efOjQodeuXatVq9aUKVPU9+Zn%20z55drFixo0ePIowpQaVKlW7duoXwhw8f7O3tfXx80GBVQd1A4U4PFG4iG9DvDBw4EH2Q6IwI0SF6%20J9yq3+GeMmmc1L5MYcbUKQqjbBX+NdNh7roavsuz4FI78NfS/UdBuHfv3i0dFENHh8INK+3fv3+O%20HDmguVLSX8TGxs6ZMwdGbmZmpqmkK1euxCdWbNGiRfv27RGGMcOJIdziZe8o3KtXL9g5wiEhIUWL%20FkVAgCyhyGFhYTDy0aMTZrNYPTg4GMXEO9tPnjwJk541a5bI8vPzc3Z2PnbsGPx44sSJEHfxXx9r%201qxBsY0bNyIMXrx4AReHcN+4cQMq3717d/HGeDBv3ryGDRteuHAB4QkTJiAXUo4w5hgQ7smTJyd6%20s30mQ+FODxRuIhso3ER/0DPh9lQU765Q5ChrX7RrZ5dOru06urTN2MW1bbfOLmVtixlZ5Kk0djaF%20m8J9/vz5HTt2vHr1KirVwDKvXb02YfykyMhHqRFuwfXr1319fYsVK1axYsXKKjAuqJ+1uH37ds2a%20NUU6wDQgPj6+VatWmI4aGRm5uLignba2tojic9WqVX369DExMUG0WbNm8PJDhw7Z2dmJdbEWart/%20/36VKlVQIFeuXCNHjty6dauVlRWijRo1OnPmDKTcw8MjZ86cmAmg5NKlS7GVcuXKYUOwbRRr3rw5%20JBXzChg/VpwyZQpketCgQcgyNTWdNGnSo0ePvL290RjsTpkyZfz9/Z8+fYod8fLysrS0RDFsHcfc%20zc1NtGHatGnwNrGzmQ+FOz1QuIlsoHAT/UG/hFsHy4AEyzcrZ5rbsjKFm8KtekwCxvkA/1LNgwcJ%20xeGXX79+dXR0TKVwEx1C4U4PFG4iGyjcRH9o3769wsI24VkO+8EKux+y3IIdLzVMkbMChZvCrRW+%2092cBiU6gcKcHCjeRDRRuohXevXs3fboPjNnJyalJkybO30mzZs3wmT9/foXCWKGwUi0IZ9RiZGSt%20MCukyFk44VOPlsKKnEUUimw58uWvPHYOhZvCnU4o3LKAwp0eKNyZTXx8/MePH2NiYsSvTHz7Q/1x%20cXEiF5+fPn0SiZ8/f1YnxsbGisSsBoWbaIUXL16UKVOmlUe5VZHdgu50Xnqzk94uoX/0GLrE0djY%20WD/PeT8/P9O8VhRuCnd68PLyKlGihHhAuTDRb/LmzYtvSorIjZYtW8KvpNNOF1C4MxV0VePHj3dz%20c+ugAgFvb++TJ09K2SpKly6NE7pz5844OUJDQ5GyZ88edHDt27d3dXVt165djx49FixYAPsU5bMO%209+7d8/Dw+PaIEfJdQLjLli3bYmDZkHtdFl/ruPCKm94uKx928/ylHoQ7Na+yy3ymT59O4aZwp5PG%20jRtv3rxZihCSYWTPnv3Dhw9SRBdQuDMVWLL48U41NWrUaNiwoQjv3LmzYMGCsO0BAwaIFPD8+fP8%20+fNDNKW46kWyZmZm48Zl6u9/ZTI3b97cuHFjcHBwUFDQMhU4TaHaDRo0aNu27ahRo5ASEhIisn75%205Zf9+/fHxMRIKxOSIhRubUHhpnCnHycnJ/UPVBOScVC4dYVePMMdHR3dqFEjNzc3Kf4XkEgLC4tD%20hw4hDDkoVKiQp6enyAL37t2ztLScNGmSFDdELl++DJ+eM2fOzJkzZ6mYP3/+zz//DE9q3br16NGj%20kYJckYVRf/369U+ePOFbYEhqoHBrCwo3hVvNjl27nB0dOzs5dXZ2Tnnp0rRpa8d6Pbt0vXYt4fYT%20hZtkDhRuXaF74cZBVygU6m7661/vKlcH8ufP369fv5iYmGLFimU14U6S69evN2/ePDAw8NGjR1IS%20Id8PhVtbULgp3Gq2bNjQolhRD3u7gaVLpbx4lCndo0jhtjWqnVG9KIfCTTIHCreu0I1wq2W6c+fO%209evXf/DggYhqIsrg08rKqn///hRuNRcvXmzatOns2bPFy3IJSRsUbm1B4aZwqzFU4X7y5EnLli0n%20TpwoxTOSjh07urm5RUZGSvEM5suXL6Ghobly5dqzZ4+UlFZ27dpVpEgRnBtSXC+hcOsK3Qj358+f%20lyxZolAoli5diiiEGzJdr149hP/888/79++Hh4e/evVq2rRpNjY2iCL95cuXtWvXHjJkyPPnzyMi%20IuAKJ06cgC4EBAQk1JiVoHATrUDh1hYUbgq3mkwQ7l9++cXS0tLDw+Px48evVcCDzczMli1bpv5F%20r/SDqnbu3Onu7o5wfHz8lStXatWqNWLECJGrD7x///7ChQt58uQJCgpCb4bjYGVlZWFhsW/fvm9/%209yyD+Pjx45o1a4YPHy7F5QCFW1foRrjXrVs3cuRIX1/fyZMno88aO3bs+PHjMbn8+vXr8uXLf/zx%20R6QMGzZM3XerL55z587hzMYqP/30E4xTJKrvl2cRKNxEK1C4tUWCcOezqjp1Ud0l2x3mrc+CS72g%20nWU9J1C4QUYLd4cOHfLmzSvuQ2kSHh4+a9Ys+B/CL1++zJcvH7wqR44cLi4u6iESioPEqlWrPnny%20BNYuEiHWgwYNQjooWbLk27dvkfjw4UPxpndcdEWKFNm2bRvkvm7duhi4Dxw4gJIlSpRYvXq1qAGE%20hYU5OzsjvUyZMtu3bxeJuFobNmy4YMGCMWPGVKtWbejQoc2bN9+4ceOECRNMTU3r1at3/fr1w4cP%20ly9fHu2cMmUKBBprofH169f38vJSSyHkrGjRoqgcxp/o/8OxXexpaGiomGlER0cXUBEXF9evX7+2%20bdvCGWDkQ4YMEQXQEmwaVcHL//jjD1UdCRw7dgzFLl++LKKxsbFYHcVwqNWmAaHv2rWrSBR3+lG5%20+iiVK1cOR2n+/PkODg7qmrGDjRs3xirYqPpHIHCN4LCsXbt22rRpyKpTp86pU6dEVuaAjVK4dYJe%20/NEk+S4o3EQrULi1xZRp07LltDCxsDTJlTtrLtlz5clmZm5kZLR3717poBg6OhHu48ePW1lZwblh%20pVKSUgkDzp8/P5QO2gr/gyzCqJYvX44sWHK2bNnWr18P58Z4gbB6FfGfw1euXMFaFy5cEOkRERHQ%20R/FrYLBGR0dH9S+DQfGrVKni6uoKcxW3xuzt7SHuyEK4T58+ohjM1c7ODkodHx+/a9eu3Llzw7Ox%20Cgx43bp18Oa5c+d+UdGtW7c2bdpgi1hr8+bNEFYYGGqOjIzElAA1YJWnT58ifcmSJeKm248//ogG%20aD5qIoQbNYtJBUZGtH/Tpk1YF3KMExIH6vPnz2gAmoo9RQciSqIASqI2hFEAEoxDh7EVUWg3pgcI%20gD///BNC3KhRI8wibGxsXr16hUQcSRwZIeI3b96EYYtfS8NcZdKkSZUqVUKzEcX8BzMEcYiw0cDA%20QBx/fMX79u0rVqyYv7+/OA69evXq0aMHHBTFMgcKt66gcMsPCjfRChRurSDGb6ImixwQnQg3jm2F%20ChXgkd/e4Ya/ooZ3794hDEOFVPn4+AjJVvsovBOJEE0zM7PFixcjMSQkJGfOnFFRUao6lG/evOne%20vTtsEuFEwn3v3j2op3ikBCuuXLmySJEiv//+O1ZBYt++fVG5AP4q/BgWW7169WXLlqkqUGLvEEVj%20EIZoYkPt2rXDlABRIdziZ8hhqygG4UY9qL9w4cIpzOKEcK9atQoGKbauPv0g3E2aNBF3zcHWrVvR%20gaC8iKLY4MGD0QEijNZiBgLhvnTpEhqGBkO4RW0CHFX4cfHixcW6mmgKN9rg5eUF4X7+/DlMHcfE%202dkZq4uSp0+frl27NgZunDnYQRgnErE5FGvZsmWmPbAOKNy6gsItPyjcRCtQuAlJM8kJ9/rQ1VXz%205G5tY9OqUKGUlzaFCzfMbdmwfPnTqicKUvlICUzRz8/PwsLCysoKToyoQAh3TEzMrl27INkwSCRu%202bIFV40Qbhgz0s+cOQO/hO5A3FHbx48f+/Tpg9quXr2KdChvnjx5oqOjkfXy5cuOHTu2aNECeuTt%207f3kyZNvhVvcEj537hx6kmHDhiW04+tXNABaj/R0CreQQmwaEwwcbVE5opqTjTt37ohHSuL+/upE%20lBTCLWYgAjQeVR07dgx7euLECRh2eHg40tXCLXbn7du3DRo0qFu3rtgi2tOzZ0/MK6pUqYLdFIlY%20EW6NwghAl3v37o3jM23aNIzLEG5xVxuzBYg7vhQcSezLDz/8IB7v2bZtG4Wbwk3kATqFZs2aUbhJ%20OqFwE5JmkhPuNJNK4SZaJ5FwGzwUbl1B4ZYfp06dgictXrxY/HULIWkjKirK1ta2jkuJcZucR69p%20PHK1/i4TtzR1HVlJoVBQuImeQOE2GL58+bJ27drOnTtLcUOHwq0rKNzy48SJE3Z2dkuXLuVb3El6%20iI2LPXBwP0aajXIALrJ9+3b1w6aE6BbtCndcXFzDhg1Xr14NEyIkQzExMRFPuWiRRI/0pAyFm8gG%20IdxLliyhcBNCiE7QrnA7OztjVilFCJEVFy9etLe3lyKpgMJNZAOFmxBCdIt2hbtp06Zr166VIoTI%20irNnz5YqVUqKpAIKN5ENFG5CCNEtyQl3XFzcn9/Hq/fv3zs5OVG4iUyhcKcSCrf8oHATQohuSU64%20d+79j0eg47L7rotuuPzjEnSn08xzTQdP6myW3UL8KB4hsoPCnUoo3PKDwk0IIbolJeGe5xgUlqrf%202Vxyo5PvCeehU7qZ57DUonBHRES8fv36a+reQBQfH//w4cMkf/MKQ8yTJ08+f/4sxQ0RHCXs/ps3%20b6Q4+X4o3KmEwi0/KNyEEKJbMlm4IYUODg5WVlYKhaJBgwaIShlKZdu2bS0tLU1MTPLnz3/16tVE%20nv3p0yd3d/dUyrcarIX25MqVq0SJEvJ64QOmB4MGDYLSSfGkiIuLwzGRIiTdULhTiY6F+70KKfIX%20uNQxOxfgi8H8W8pQgY4Dc3Ep+/Xr2NhYKSPLIIR76dKlHz9+lJIIIYRkIrq6wz148GBPT09o98yZ%20M9W/xXbhwoVZs2aJWzAwzrCwMDGw3rx508bGpn79+tevX3/58iVSnqjA2HH79u0XL14gBWEoteZI%20ipI3btzAurAiSLxauDH4Pnr0CFmoP8k74hi7MRNAAayiec8YlT948ADp4eHh6mELNURGRn748OHp%2006fYFsJfvnxBs1H5rVu3Xr16pZ4koKo7d+5gdbRc+ABajpZgT+/du4d1UYNIx7plypSpWrXquXPn%20oqKiUANSsCIqxLqqyhKOibW1dcOGDRHAVnAMUUZzMH327BlWQS4qFylix1EhdgRZKJ+y0Gc1KNyp%20RGfCjbMf/QUm5bVq1ZKSVP+3tX79+p9++qm3ip49e2Ia6u3tffr0aamEUgnJxmweE/3+/ft36dJl%209+7dUkaWAR19zpw5cb5KcUIIIZmLroS7V69e4jXgdevWhXZfvnwZ4YsXL0K4oYMQ65IlSyL9wIED%20wkHd3Nzatm2bsKZS2aNHDzMzswYNGmD0nD17tr+//4kTJzCYYki9cuUKCkRHR2PkdXFxQRhCXLx4%208aJFiwrhvnr1KiQV5RHev39/rly5Vq9ejbAA29qxY4eDg8Nvv/2GaGBgIFZEGxDGUNW5c2fxEvXx%2048eXLl360qVLu3btsre3z5MnD0TtyJEj8GzMCrDKggULUGzJkiWVKlUS28LsAmvBxRGuU6cOBv2h%20Q4diFlGoUCGUQSMh06ampnv37hX7i11zdnZGAOA4YB8RgH8jvGfPHiHx2MEOHToggJYUKFAgR44c%20//3vfxGF2bdu3RpTGoTBqFGjsNaWLVvatWuHTaDB/fr1Q/rcuXMLFiwIFRHFCIU7lehMuDEVxgyy%20SpUquPilJNU8Ete26E0E7969K1KkCLoYEV26dCkcHdcALFykZEHQixkZGa1Zs0aKE0IIyVySE+5t%20uzb09a0R+Hub2Wda/+My70Lb8XvqDfyXW84cuVIv3BERESIcGhpqYWEBjYYBQ6DFHW7IN0ZJtXBD%20Flu2bCnC0NYWLVp07NgxYWUVSN+9ezeMEz79+fPngIAAa2trkYUxetWqVfnz579///6HDx+mTp1q%20bm5ua2sLoYd6VqtWDeIrSoKoqKg+ffoIU9cETe3WrVu+fPmwFihTpkyNGjVWrlyJrJCQkJo1a8K8%20Eca2WrVqhR159uwZolB5CNzRo0evXbtWuXLlwoULi9UrVKiAVeDuI0eOdHR0FM/VQHzR5pkzZ4q7%201Dg+jRo1Ut+Bxn75+flhXQyaOFziOLRp0wZijQCU4/Dhw9myZYNwIwuCkTNnTsw6VKsmTDn69u1b%20r149eAg25+HhIVbZtm1b3rx5T548KYoRCncq0fEjJZgx42yWIklx+/ZtXNgjRoyQ4n8xbdo0XIQX%20LlyQ4lmJgwcPou/gb0gRQoiuSE64nz59fui3owd2Hzm45+g/Lgew7D7y8EEkfG7dunVSFSkCr336%209KkUUQFVVSgU48ePF8YJxYRwHzlyROS6ubk5OTkh8ODBA3yicCIt/u233yDct27dQhiabmpqumXL%20FoQhoPPmzcudOzf8EoaE5hUtWhQGrFpJef369TFjxogwwKb9/f3Lli17/vx5kXL69OkNGzZA8YcP%20H96sWTN1myHT4m4RbB7yvXfvXoRhsZBguLJ47gXbKl269PHjx2G6tWrVUu8a+Pnnn58/fz569GiY%20g3hK5P379zY2NmgqrB3Rfv361a1bNy4ubuPGjTgsmC0g8e7du9mzZ1+/fn1CFao73E2bNkUA7n7i%20xAkI9++//44o2gyTRuXi70QfPXpUtWrV5cuXoxn169f39PRMWFmpxBQFxcRNcQIo3KlEH4Vb/KcP%20wJQdF4y4wtWJQIQxFUYuZroi0VDBbHvFihUTJ05ERzNq1CgEOnXqhB1Hv4kwUtSgwIQJE4KDg9Ef%20SSsTQgjJAJIT7rSRmhffwFDr1KlTu3btSpUqrVy5UvOx48uXL2N1aOLRo0cdHBwaNGgAU9y+fTvG%20yrCwMEQrVqwIl23ZsiVqAOKBCtgwpAclYZOQVHHLNjY2FvZfoUIFfM6YMcPV1VV9txiBnj17IgsM%20GjRIJGoC10dVogDWlVJVT25gwBLp4vY29gUmjdEfjUHL4bgIYNcwqPn4+Dg7OyMLDTt27BgKowCa%20J1bH6Ab/xj4iBfsFXcZOoalwdwgDGg8Lx7awv1FRUR4eHtWqVcNafn5+jRs3rl69+rRp0zCRuH37%20NlbBYYSCi/9mR2MOHz6saqxy5syZlStXxlotWrRA9MWLF+L4oIUDBgzAnAR1IgVfmXhmhlC4U4ne%20CbdarHHtYRr6559/iui3wo0Zs5GRES5UkWiooA/FBf/48eNIFW/fvkXvgx2fP3+++KMTTVAMhcVE%20nxBCSAaR+cJNiH5C4U4lOhNueCRmmZhcYiZ68+ZN4YgwaXwTcGiFQrF582aUOX36dLZs2bp27Yrc%20hw8fYgJ969YtBDw9PTEH/fDhg1grocYsA5/hJoQQ3ULhJkRA4U4lOhPu8PDwGTNmzFIxffp08aBV%20fHw8vgYvL68FCxb4+fl5e3sjy9/f/9y5czDyoKCgiRMnIhGfSBH1ZDXbBhRuQgjRLdoVbmdn502b%20NkkRQmQFhTuV6PiREpIGKNyEEKJbtCvcXbt2VSgUlStXdiLk71hYWGzfvl06UfQSCncqoXDLj/37%2095uYmPD/HwkhRFckJ9xr1q/LW75qAae21o1b/+Ni5dQuj325E8eP9+7dC8K9c+dOqRZC/kL/Hzei%20cKcSCrfM+PLly+bNm4sWLbp161YpiRBCSOaSnHBv3L6zdJ9h1WetruG7/B+X6rND7dr3OHHqVK+e%20PSjcJEko3AYDhVtmxMbGbtiwwdbWVs//j4kQQgwY7Qp3zx7dKdwkSZydnfXcTa9evQonkSKpgMJN%205AGFmxBCdI4WhfvA/x3avGlTkSJFxBtnMpO7d+/OnDkzICBA6wNKVFQUjOr69etSPH18+fJl3bp1%20v//+OwJS0veAHTx16pRMf2LBxcWlXr16PfQYd3d3zff8/yMUbiIPKNyEEKJztCjcO1SvN3dyckLf%20LipJAUhno0aNunTp0q9fvx9//NHX17dDhw6vX7+WslPNp0+fRo8e3atXL4Sx+vDhw48ePSqy0s/N%20mzfRwqJFiy5btkxKSgfR0dGjRo3KlSvXggULNF/3k0UwvJ+MpHATeUDhJoQQnaMr4XZ0dHR2dhZv%20NQfv3r3r2rUrPoOCgiDf69at+/z5M3KnTZs2a9as69evi9u6GC82b94cFRU1Y8YMtPzy5ctjx461%20tLSsW7fu1KlTf/vtN5R58+YN1po0aRLqOXTokKr6BFDDxo0bJ06ciPTTp09LqarXua9evRrpgYGB%209+7dk1L/Yt++fTVq1FixYsXZs2dRZ0hIiLrNAG2YMmXK5MmTFy9e/PjxY5F49erVNWvWoCrsxapV%20qz58+PD8+fP58+djEwcPHrS3t587d65auC9cuDB9+nTUvHPnzvj4eKQcOHAABxBDpL+/v5eXF3ZK%20pL99+zYgIODhw4fqQ7Fly5a4uDis6+3tfeLEiYTqVOzfvx/bwkG4c+eOlKQHULgNBgq3zKBwE0KI%20zklOuDds227Xa2iVWaFVfVf841Jl9poSbbtvVz26nUrhfvr0qY+Pj0IFpFnzv/J79+7dpEmT9+/f%20Iwx7zp49e2hoKCwTLl6yZEk7O7vg4GBY6Z49e0R5KCysV4RRLSrcsWMHwiiDdcXLLo4cOYLhRtz8%20Rkq+fPkWLVokyrRq1Uq8CvrYsWMFCxaEGSOsBr5bunTpxo0bC6Pt0aOHq6ureFedu7t75cqVX716%20hXCbNm0wYYATo1iLFi3y588/fPhwjG5oZK9evdq1a/fo0SMUW758ee7cubEJjICYUbRu3Vr9+A2m%20H1BSiHuVKlUKFSo0atQoJMLasTtoWGRkZJ8+fYyNjfF9IX3ZsmXYHRwN8eZ5TAZQ7NatW6gWMxk0%20LKFGpbJ69eoWFhaQb3EwdQuF22CgcMsMCjchhOic5IT7999/nz4nwG/hEv9ULL6/LPabG3jz1m2s%20mErhhgELbcVYAAGF9UIZxQ3pzp07q4X78ePHQrjFXV54bfv27RFQExMTg3FkzJgxUlzV8hEjRsAy%20e/bsmSdPHkh2XFycl5fXtz9AER0djX2vUKECPsG4ceN8fX13qe7TqxF3uJcuXYow2jBs2LAGDRqI%20N9xh0ytXrsSK2Hr58uW7d+/+xx9/ID0gIMDBweH48eMIX7hwoWjRouq5QUREBFo7d+5cVIUCZcuW%20HTBggNg65gxz5szBXvfr169Ro0ZoG8pHRUWZm5tj6yh/8eJFExMTfF/iDnfbtm1xNET4zp07cHGY%20HyQefl+/fv2EjSmVaG2BAgVEWOdQuA0GCrfMoHATQojOSU6400wqhbthw4bNmzePjIwUUXEr9/Dh%20wwiPHDmyRIkSIh0uni1bNvj32bNnEXVxcenQoYPIUqN5hxtuivKfPn1C+Ndff4Wtnj9/HmHYrZWV%20lbrYs2fPvL29EdiyZUuxYsU2btwo0rGVREfjxIkTtWrVgleJ6KhRo9CYV69evXjxok6dOjBaJELo%20mzVrBuGGgSG6ePFiCDdUG2EINLJq1qz58OFDRLGDRYoUqVu3Lga+N2/ewN27dOmifrwEMw0Ys6en%20J46h2AVkWVhYiNfDhYWFQbjFcQCurq7qucfTp08h3OKJmuXLl4u/HwWYqIgC+gCF22CgcMsMdEPr%201q3D/J4/IEUIIbpCV8J95swZfMJ0fXx84L7+/v4iXRAUFCTS79+/v2DBAmGrixYtEh4pngb5+vXr%20lStXUGzevHmzZs3y8/ODtSMxODh4xowZkE4IaGBg4Jw5c06ePIny0GKoMOoEq1atStiMCgxGK1as%20EOmJfl/l1q1bqGfu3LmzZ8/GgQIIILp69erXr18jF41BA+CR69evx4YwqCGMAgBNUj8RvmfPHjQP%209WO8W7JkCVYU6eDUqVPYhNh6fHw8akA9WB07FR4ejvqxCzg4W7ZsxSemH76+vteuXVMfioULF0ZE%20RGB/kYUtQse9vLwQFRWCqVOnjhs3TtqYTqFwGwwUbpkRGRmJLrVRo0bowqQkQgghmQt6YJ0IN9E6%20mGxAvsWjLGo+ffp048YNKaJTKNwGA4VbZjx8+BATfXTNmn9FTgghJDOhcJPMgcJtMFC4ZQaFmxBC%20dI7Whbthw4a7d++WIoT8RcuWLfXqmfL0Q+Em8oDCTQghOkfrwn3hwoXVq1evIOTvbNq0KSoqSjpL%20DAIKN5EHFG5CCNE5WhduQrIIFG4iDyjchBCicyjchKQNCjeRBxRuQgjRORRuQtIGhZvIAwj30qVL%20KdyEEKJDKNyEpA0KN9E7xLtnE/H06dOQkBBXV9fLly9LSYQQQjIXCjchaYPCTfSRoKCgChUqZM+e%20XaFQGP+FkZERoviU4sbGiGbLlq1UqVIzZ86U1iSEEJJhULgJSRsUbqJ3JHmH+8aNG/PmzfP09Lx9%20+7aURAghJHOhcBOSNijcRB6cOXPG19e3X79+58+fl5IIIYRkLhRuQtIGhZvIAwo3IYToHAo3IWmD%20wk3kAYWbEEJ0DoWbkLRB4SbygMJNCCE6h8JNSNqgcBN5QOEmhBCdQ+EmJG1QuIk8EMLt7u5+7tw5%20KYkQQkjmQuEmJG1QuIk8OHz48NSpU4cNG8YX3xBCiK7Yv39/7969Hz58eIMQkmpu3bp19uzZWbNm%20bdiwQbqWsgwUbpmxZcuWUaNGeXl54ayVkgghhGQu8fHxsYSQNBEXF4crSLqWsgwUbpmxdevW0aNH%20T5069ebNm1ISIYQQQgjRYyjcMoPCTQghhBAiLyjcMoPCTQghhBAiLyjcMoPCTQghhBAiLyjcMoPC%20TYih8vXrVyn09zAhhBC5Q+GWGRRuQgyYnTt3tmrV6saNG1Kc6DExMTHu7u6+vr5SnBBCkofCLTOE%20cE+ZMoXCTdKPfG+pGurN4IULFyoUipMnT0pxg8BQ79a/ffu2ePHinTt3luKEEJI8FG6ZsWbNmmHD%20hgUEBNy7d09KMiAWLFgwZ84cKSJzlixZ4ufnp/8/Nbpjx45//etfL1++lOLy4cSJE8OHD3/w4IEU%20NwgWL16cLVu2U6dOSXFDITY2dtq0aStXrpTiBsG7d+/s7e27desmxQkhJHko3DJj0aJF/fv3x7j1%20+PFjKcmAqF+/frVq1aSIzGnWrFm5cuU+f/4sxfWVMWPGmJmZ3b9/X4rLB4O8GWyowv327dtixYp1%206tRJihsEWVO4v6iQIoSQVEPhlhkYjwcMGLBixYpHjx5JSQaEk5NT7dq1pYjMad26dZUqVfRfuMeP%20H587d2453idesmSJ4bmpoQq3Qbpp1hTuK1eu/PLLLyNGjMAwFB4eLqUSQv4JCrfMoHDLBQp3RkPh%20lhEUboPh9OnTHh4eFhYWCoXC1NS0WLFiQ4cOPXLkSBZ8Uzch3wWFW2YsXLiwQ4cOnp6eQUFBO3fu%203GIoYF+2b99esWLF0qVLI7pr1y6RLkewL6BGjRolSpTYtGnT7t27pQw9Y+vWrfv37+/YsaO5uTnk%20FWEpQw4cOHAAo76xsbGvr+9vv/0mpcoc7NQPP/xgYDsF9uzZs27duoIFC9avXx+XA650KUPOGORO%20pQx6DPRsfn5+zZs3z5EjB4RbE5y3jRo18vLywpF59OgRHzshJBEUbpmBjuzUqVPo9dD3GRIw7B07%20dlSqVAnCjSgGMJEuR7AvAMJdsmTJzZs3Y/iRMvSMbdu2weqEcC9duhRhKUMOHDx4UAg3hn94qpQq%20cwxyp8DevXvXr18PN23QoAEuB8Povvbt22d4O5Uy6DHQs/n7+7do0eJb4Qb58uVzdXUNDg6+d++e%20of40DSFphsJN9Ag+UpL58JESvYKPlMiIrPxICWbpkmUrFLVq1ZoxY8b9+/d5V5uQFKBwEz2Cwp35%20ULj1ikWLFhkZGVG4ZQF2ys7OrmvXrlI8a3Dx4kUfHx9XV9eRI0fu2bPn/fv3UgYhJEUo3ESPoHBn%20PhRuvWLZsmW5cuU6c+aMFDcUDFW4K1as2KdPHymeNYiNjcWO82Y2Id8LhZvoERTuzIfCrT8Y6usz%20gUEKNyGEpB4KN9EjmjRpUqdOHSkic9q0aVO1alX9F+4JEybkzZtXjsK9dOlSExMTw3v6wiCBcJcq%20Vap79+5SnBBCshgUbqJHPHnyxGB+X/yPP/6IjIzU//uU0dHRsO1Pnz5Jcfnwv//97969ex8/fpTi%20RI+Jj4+PiIh49uyZFCeEkCwGhZsQQgghhJAMhMJNCCGEEEJIBkLhJoQQQgghJAOhcBNCCCGEEJKB%20ULgJIYQQQgjJQCjchBBCCCGEZCAUbkIIIYQQQjIQCjchhBBCCCEZCIWbEEIIIYSQDITCTQghhBBC%20SAZC4SaEEEIIISQDoXATQgghhBCSgVC4CSGEEEIIyUAo3IQQQgghhGQgFG5CCCGEEEIyEAo3IYQQ%20QgghGQiFW658/fpVCmnwbeI/FksurM/8405pIscdBLJrdpINTrLl+r8737svKWTJAs2mptDsFHYz%20bVmZg+a21OHvalUKhdOWpUU0K1SHU9h0CllJkraqUsgiJMtC4ZYxmzZtypkzp0KFhYXF9u3bpYy/%20c/fu3apVq6JMjhw58Dl27NhPnz5JeUrlx48fXVxc8ufP/+rVKylJDoSFhWnu1Lhx4zR3KhE4Miiz%20YMECKS4HPn/+3L9/f+zdw4cPpSS9x8/PD8f58OHDUlwFvqkqVaqov6nx48en8E3pD4GBgWjtnj17%20pLiK8PDwWrVqqffl559/jouLE1mXL1+2s7NDYvbs2fE5c+ZMGekFmjpq1Cg0+8qVK1JSMhw/ftzG%20xgYls2XLZmxsHBQUJGUolf/5z3/Mzc2RBRDYunWrlKFULlmyxMjICKsgq2DBgqhEysgUvnz5Mnjw%20YLT2zp07UpKKs2fPFi1aFE0yMTHB5/z586WMpFi3bh2+dOwFSubJk0fzxJg3b566kmLFip0/f16k%204zxHZ4tEcbagv0JXLLK0CDoKd3d3bCIiIkJKUnHs2DFra2tsN8lvSnPg2LZtm5SRDDdv3qxQoQIK%20m5qa4nPKlCk4pCLr5MmThQoVQiK2goOzaNEikQ5QLSpP2IZCgc1t3rxZyiAkq0Lhlis1a9asXLmy%20FFFRtmzZevXqSZG/mDZtGvo7zY5+zJgxSHnw4AHCL168mDBhgpWVVZkyZf78809RQP/5dqdGjx6t%203qlEYHRp0qQJcpcvXy4l6T1v3rzx8fGBDRQuXPjRo0dSqh4THx+/ePHiSpUqQTdPnTolpSqVU6dO%20xZG/f/++FFcqhdjBXKW4XhIcHFytWjU4xP/93/9JSUolHBotv379uhRXKmEeSHn27NnEiRPhNJpT%201t69e1taWspiEosp95w5c+zt7eGRN27ckFKTolOnTvny5cN3LcWVyhYtWpQuXRopuMQqVqwopaoo%20X768s7MzslBzq1atpFSV/ubNm7dLly5SPIN5//495oElSpQoUKCA5nnYp08fzApiYmKkuFLp5uaG%20MigvxTXAiY2JlhRRUbJkyQ4dOkCpoZs4LFKqUvnhwwczM7MRI0ZER0fjlEBnK2WobnzgbEHfJcW1%20wf/+9z9vb+8iKh4/fiylKpUdO3bMnz+/5pRPfFNIcXJySvRNlStXrm7dulLkG8aNG4dma/ZCQ4cO%20xT6+ffvWw8Mjd+7cMH4pQ6ls06aNra0tvuLmzZujWilVBY4hxiwpQkiWhMItVzDC1a5dW92loo+D%20IqBXFVE1sARTU9Pff/9diquEGyOr5n3TgQMHwu1kdIcbO5UjRw7NnfrXv/6VaKc0OXfunImJCYxQ%20isuEsWPHQk0S3bjSZ1asWGFkZHT06FEprlT6+/vjm7p69aoUV02NZLFT69evh2fs27dPiiuV8+fP%20x3RCff8SQLghHFFRUdOnT0+0U+7u7sWLF5fRJBbXFCzq2rVrUjwpvt2ptm3bwkTRC8E+EVC7OAI1%20atRwcXFBoHr16sgV6QD9TLFixfr37y/FMwVM/HLlyqU5RR88eHDBggWfP38uxZVKzAGgpDBmKa6B%20o6NjgwYNpIhSGRsbW6FChZ49e8I1Ma/o1q2blKFUYvZlbW2NCRh2E8qrKdzor9AV4zhLce2B3g8T%20ocjISCmuVPbt2xff1OvXr6W4xjfVvn17ERDpGDjwBcGPRfRbMEOwsLC4ddo0ZssAAAgySURBVOuW%20FFcqf/zxR0wz3r17N3LkSIg+phZShlLp6uqKYQhfOmYvqFZ9Ixybc3BwwJglooRkTSjcckWLwo3B%20z7CF+/Tp03IUbuyUvIQ7JCQEwn3s2DEpLmfhXrt2bZYSbj8/PwMW7smTJxuwcI8aNYrCTYj+Q+GW%20KxRuCre+QeGWMijcFG4KN4WbkL9D4ZYrderUQdcmRVSg69ccFQTe3t7whtu3b0txlXDDPjUfd/bw%208MAQKP78S90R6zM+Pj6Jdgoaly1btkTPcGNfxO5gqMMur1ixQp0uAvqJunkYtjGOvnz5UjNRn1mz%20Zo2xsbGmkorTT/OP1SAH+C6SmxrpD//5z3/Qcs3Jw5w5c5Ci+WeFEG7sL6QNPgeXgnlLGapnuPHd%206b9wq8+ruXPnQrjFU87JnWxdu3YtUKCA+u9EQcuWLdHtQLBgbFWqVJFSVVSsWBHzf2SVLVu2TZs2%20UqrKVq2srHr06CHFMxL1jqDHgHA/efJEREG/fv0sLS3fvn0rxVXPPRcuXDjJZ7jR09auXVuKqLC3%20t4dTQrjhtZ07d5ZSVX99gQ2hO4JwY6qpKdzor3D+oCVSPN2o9278+PGJ/uodkwd4v+ZfJ4tvCqs0%20bdo00TeFyUP9+vWlyDegF0KzNS/YYcOGYR9x6IYMGYKTXPM5+Hbt2pUpUwZfeqtWrVCtlKqiatWq%20GLOkCCFZEgq3/FD3s5cuXSpRogQ6VoyCtra24s+5MJ5hMEMXCc6cOSNKovvD6FK0aNHcuXNr3ugN%20Dw+vXr06bBudI+qBMEkZeox69zV3asmSJSIxMDAQ3oB9h+qJlAkTJmA0QnePo4QxVVMX9BaoG+ZO%20GP4rVaoEO9H823/9BOYhbAzHGUf7X//6l5ShAoO9+Kby5MmzdOlSkaj+HvWQvn374rBDs7AvP/30%20k5Sqon379tgXXDI46+bNmyelqv44z9HRETtYpEgRrLVx40aRrs+7KXj37h0uJRsbG3gYWu7r6ytl%20/B2xI0+fPq1cuTI0q1ChQljlwIEDIhdgWluyZEmcAwABzf/W2L9/PwpjFayIrTx79gyJmXNkMOdx%20dnbGptFs7B3mFVKGUhkdHV2zZs28efPiQkObd+zYIdI1G6YOnzt3Dicw9gInRunSpcPCwkQ62LZt%20GxJRCaqqVauW5iwLnS3OE5wtOGdwkEWiFncckz24srqj0Ozb//jjDyTigBdUkeibEn9FCjBwpPDf%20GqKpuLpxDLEjOALYR/WdC4CeCpe8OB8wguzdu1fKUCpRLSrHJpCOzV2+fFmkZ873TogeQuGWK8l1%20W58+fYJrenp6hoaGJveUiFg3yRpk0Rum0EiIDmxp/vz5N2/elJK+Qc/3UXbfSwptk92+pEAK+yLf%203fyulqdQOG1ZGY22WpW2elLI0gpp23QKWUmStqpSyCIky0LhNkBiYmJiY2OlSBYjLi5O8784CSGE%20EEJ0DoWbEEIIIYSQDITCTQghhBBCSAZC4SaEEEIIISQDoXATQgghhBCSgVC4CSGEEEIIyUAo3IQQ%20QgghhGQgFG5CCCGEEEIyEAo3IYQQQgghGQiFmxBCCCGEkAyEwk0ISRcKBbsRkl54FhFCDBv2cYSQ%20dEFVIumHZxEhxLBhH0cISRdUJZJ+eBYRQgwb9nGEkHRBVSLph2cRIcSwYR9HCEkXVCWSfngWEUIM%20G/ZxhJB0oXVVevDgwezZs0uVKnXy5Ekp6RuQ26pVKymSDNHR0Rs2bEAx1CYl6QepaXxWg8JNCDFs%202McRQtLFd6kSHHro0KFQYRGFd2quvmzZMmGiUGSkpyDcqQQbQj36JtzkWyjchBDDhn0cISRdpEeV%20Egm3Gm0JN6BwywIKNyHEsGEfRwhJFxkn3JMmTUJA3BRHdMOGDciKjo5GCqKaT2U4ODiIG+ege/fu%20yFXLOsJq4UYAa4msK1euiGqT3ApAurpOzSx8lipV6sGDBwgvW7YM6ariSpTBptXlNZunBlmajVdH%200X5sbq+KfPnyoX5R/ntBVeqdBdiKuhnJbQtgFc0jgJ0Sq2Qm2K4UIoQQQ4R9HCEkXaRHlaCDSa4O%20/0M6FFCKf6OSiKpVUmWVSditACXhlyigNmk1KWxFmPS3IAuqDUmFW0PZVStJwF9RAKsLF08BFNNs%20cKKoaJUU+U5EA6RIUkcmUUqSRyDRKplDmneZEEJkAfs4Qki6SI8qwe2SXD1JEdRUSUTVXigqif7r%20uXCBWq/FipBjWLKDg4NmsRS2IoQ7kTonUnbkJrqbLkAUG8LmEjVJDVbRlNpEUdEqKfKdYEXNo4Rq%20NWsGiVKSPAKJVskc0rzLhBAiC9jHEULSRZpVCcKKdcG3954TPdsAXUZULYJixVKlSgmjxScEVxSA%20QWo+zoGakQ4tFlHhlygsTHrSpEmIJrcV0QZsBcWwonotERa3t6GqKCPajxWxiroM0kU4Ed82XjMK%20kpT4VIIVIfricRE0Bu1Ezdii2EdsArma20ryOGMtdYFMA9uVQoQQYoiwjyOEpAuqkp4AR1fPFmQH%20zyJCiGHDPo4Qki6+S5U++Pm9adkybteulwpFzKJFBv/55d49ac8zHnG7WorIDQo3IcSwYR9HCEkX%20VCWSfngWEUIMG/ZxhJB0QVUi6YdnESHEsGEfRwhJF1Qlkn54FhFCDBv2cYSQdEFVIumHZxEhxLBh%20H0cISRdUJZJ+eBYRQgwb9nGEkHRBVSLph2cRIcSwYR9HCEkXVCWSfngWEUIMG/ZxhJB0AVUiJP1I%205xMhhBgi7OMIIYQQQgjJQCjchBBCCCGEZCAUbkIIIYQQQjIMpfL/AdH4Lo27eV0UAAAAAElFTkSu%20QmCC" height="596" width="976" overflow="visible"> </image>
          </svg>
        </div>
      </div>
      <div class="fig"><span class="labelfig">FIGURE 4.&nbsp; </span><span class="textfig">Depths and hardness typical of different forms of coatings and surface hardening.</span></div>
      <p>From <span class="tooltip"><a href="#f4">Figure 4</a></span>,
        it can be concluded that different methods offer different 
        possibilities of combination of depths and hardness of the surface 
        layer. It is noteworthy that some methods are missing such as nickel 
        chemistry, nickel plating, chrome plating and others. Those methods such
        as surface depositions with PVD, CVD or ionic implants that produce 
        only very thin layers and great hardness, will be useful for using in 
        applications with a minimum wear extension and where the surface acting 
        force decreases rapidly during work, so that the thin surface layer is 
        not eliminated. This is associated with the fact that the elastic 
        interaction stage is reached quickly. In applications like precision 
        engineering elements, such as dies and some cutters by milling, these 
        methods can offer great benefit in the work, fundamentally the vacuum 
        coating with NTi and the application of the cemented carbides, 
        manufactured by PM, which can significantly lengthen the shelf life in 
        cutting elements.</p>
      <p>In other cases, where the contact forces 
        penetrate deep into the component, towards the entire surface layer or 
        even below it (negative gradients), methods that generate thicker 
        surface layers are needed. In a highly loaded sprocket, for example, the
        material of the surface used must have a high yield strength, so as to 
        maintain elastic interaction conditions during work, exposed to high 
        contact stresses when contact slippage occurs. However, the core of the 
        gear tooth and the rest of the gear require high fracture toughness and 
        resistance to the appearance of fatigue cracks, being subjected to high 
        cyclical loads and sometimes impact loads, during service. In this case,
        for the combination of such properties, it is preferable to use steel 
        elements, with thermal or chemical thermal surface treatments.</p>
    </article>
    <article class="section"><a id="id0x10edde00"><!-- named anchor --></a>
      <h3>CONCLUSIONS</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <div class="list"><a id="id0x10ede080"><!-- named anchor --></a>
        <ul>
          <li>
            <p>Frequently,
              the different surface technologies are applied to designs of existing 
              engineering components but, ideally, surface engineering would cover the
              design of the component knowing the surface treatment to be applied.</p>
          </li>
          <li>
            <p>There
              is no general correlation between the value of the wear and the 
              coefficient of friction, although the lubricant may be present as a 
              third body or as constituent of one of the elements of the pair (for 
              example the graphite in the melted irons or the molybdenum sulfide in 
              some nylon base composition materials), tends to reduce both the value 
              of wear and friction. Even poor lubrication is better than none to 
              reduce the value of wear.</p>
          </li>
          <li>
            <p>The use of identical materials 
              in sliding wear should be avoided. The use of high compatibility 
              metallic materials is preferred, that is to say that they present in 
              their equilibrium diagrams very little or no solubility in the solid 
              state.</p>
          </li>
          <li>
            <p>The high surface hardness is convenient in many 
              occasions, which can be achieved by different surface engineering 
              methods, such as PVD, CVD, thermal or chemical thermal surface 
              treatments.</p>
          </li>
          <li>
            <p>In steels, it is convenient the presence of 
              carbides or nitrides in the outer layer, even if the surface hardness is
              reduced somewhat.</p>
          </li>
          <li>
            <p>Surfaces with a high index of 
              hardening due to deformation, are resistant to severe adhesive wear, 
              abrasive and pickling. A correlation can be established between the 
              surface quality and the pickling resistance. The rough surfaces caused 
              by surface bombardment are more resistant to pickling.</p>
          </li>
          <li>
            <p>In
              the erosive wear are important factors of density of the impacted 
              material, the speed of impact and the angle of incidence in the 
              collision.</p>
          </li>
          <li>
            <p>Surface layers achieved by PVD, CVD, ion 
              implantation, nitrating or cementing methods are resistant to sliding 
              wear. The high hardness and low ductility are beneficial in these cases.</p>
          </li>
        </ul>
      </div>
    </article>
  </section>
</div>
<div class="box2" id="article-back">
  <section>
    <article><a id="ref"></a>
      <h3>REFERENCES</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <p id="B1">ASHBY, M.F.; JONES, R.H.D.: <i>Engineering materials 1: an introduction to properties, applications and design</i>,
        Ed. Elsevier Science, Second Edition ed., vol. 1, United Kingdom, 
        Department of Enginnering, University of Cambridge, Elsevier Science, 
        United Kingdom, 2012, ISBN: 0-08-096665-9.</p>
      <p id="B2">BLAU, P.J.: “Friction, lubrication, and wear technology”, <i>ASM International</i>, : 175-235, 1992.</p>
      <p id="B3">CHOWDHURY, M.A.: <i>Friction, Lubrication and Wear</i>, Ed. BoD-Books on Demand, 2019, ISBN: 1-78984-287-5.</p>
      <p id="B4">HEBDA, H.; CHICHINADZE, A.: <i>Manual de Tribotecnia</i>, Ed. Mashinoestroienie, vol. Volume 1, Moscow, Rusia, publicado en idioma ruso, 1989.</p>
      <p id="B5">HUTCHINGS, I.; SHIPWAY, P.: <i>Tribology: friction and wear of engineering materials</i>,
        Ed. Butterworth-Heinemann, United Kingdom, University of Cambridge, 
        Department of Materials science and Metallurgy, 2017, ISBN: 
        0-08-100951-8.</p>
      <p id="B6">KOSTETSKII, B.I.: <i>Friction, Lubrication and Wear in Machinery</i>, Inst. Army Foreign Science and Technology Center, Charlottesville Va, 1972.</p>
      <p id="B7">LUDEMA, K.C.; AJAYI, O.O.: <i>Friction, wear, lubrication: a textbook in tribology</i>, Ed. CRC press, 2018, ISBN: 0-429-44471-0.</p>
      <p id="B8">MARTÍNEZ, F.: <i>``Tribología Integral,</i> Ed. Editorial Noriega, México, DF, 2010, ISBN: 978-607-05-0271-2.</p>
      <p id="B9">MARTINEZ, P.F.: <i>Tribología integral, Ed</i>, Ed. Limusa, México, DF, 2011.</p>
      <p id="B10">MARTÍNEZ, P.F.: <i>Mantenimiento Industrial. Conceptos y aplicaciones</i>, Ed. Editorial Cuba Azúcar, La Habana, Cuba, 2017, ISBN: 959-261-526-8.</p>
      <p id="B11">RABINOWICZ, E.; TANNER, R.I.: “Friction and wear of materials”, <i>Journal of Applied Mechanics</i>, 33(2): 479, John Wiley, 1966.</p>
      <p id="B12">RON, R.; CONWAY, J.J.M.: <i>Friction and Wear of Sliding Bearings</i>, Ed. Glacier Vandervills Inc, vol. ASM Handbook, USA, 2002.</p>
      <p id="B13">STOLARSKI, T.: <i>Tribology in machine design</i>, Ed. Industrial Press Inc., USA, 1990, ISBN: 0-8311-1102-X.</p>
      <p id="B14">TOTTEN, G.: <i>Surface Modifications and Mechanisms</i>, Ed. Marcel Dekker Inc, New York, USA, 2016, ISBN: 0-8247-4872-7.</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. 4, October-December, 2022, ISSN:&nbsp;2071-0054</div>
  <div>&nbsp;</div>
  <div class="toctitle2"><b>PUNTOS DE VISTA</b></div>
  <h1>Ingeniería de Superficies. Aplicación en el desgaste</h1>
  <div>&nbsp;</div>
  <div>
    <p><sup><a href="https://orcid.org/0000-0002-8947-7870" rel="license"><span class="orcid">iD</span></a></sup>Francisco Martínez-Pérez<a href="#aff2"></a><span class="tooltip"><a href="#c2">*</a><span class="tooltip-content">✉:<a href="mailto:fmartinezperez2013@gmail.com">fmartinezperez2013@gmail.com</a></span></span></p>
    <br>
    <p id="aff2"><span class="aff"><sup></sup>Universidad Tecnológica de La Habana-CUJAE, Centro de Estudios de Ingeniería de Mantenimiento, Marianao, La Habana, Cuba.</span></p>
  </div>
  <div>&nbsp;</div>
  <p id="c2"> <sup>*</sup>Author for correspondence: Francisco Martínez-Pérez, e-mail: <a href="mailto:fmartinezperez2013@gmail.com">fmartinezperez2013@gmail.com</a> </p>
  <div class="titleabstract | box">RESUMEN</div>
  <div class="box1">
    <p>En
      este artículo se introduce un nuevo concepto: La aplicación de la 
      ingeniería de superficies. La base de este concepto es el comprender que
      diferentes tecnologías superficiales son aplicadas en el diseño de los 
      componentes de ingeniería que existen, pero es necesario conocer que las
      superficies de ingeniería cubrirán parte del diseño del elemento, pero 
      debe conocerse también sobre el tratamiento superficial a aplicar. Esto 
      se debe, que las superficies con un alto grado de endurecimiento debido a
      la deformación son resistentes a un severo desgate adhesivo, a abrasión
      y al decapado, pero no deben tener la misma resistencia a otros tipos 
      de desgate. Esto significa que debe establecerse una correlación entre 
      la calidad superficial y la resistencia al decapado. En este artículo se
      muestra que el empleo de materiales metálicos de alta compatibilidad es
      preferible y que siempre debe establecerse una correlación entre la 
      calidad superficial y la resistencia al decapado mediante un simple 
      valor numérico. La selección de materiales y los métodos de obtención de
      las superficies ingenieras, para las aplicaciones tribológicas, depende
      en gran medida del mecanismo y el tipo particular de desgaste 
      predominante. Así, la selección de materiales resistentes al desgaste 
      será analizado en función del tipo de desgate.</p>
    <div class="titlekwd"><b> <i>Palabras clave:</i> </b>&nbsp; </div>
    <div class="kwd">tribología, resistencia al desgate, diseño, tratamiento superficial, decapado</div>
  </div>
</div>
<div class="box2" id="s1-body">
  <section>
    <article class="section"><a id="id0x1054fa00"><!-- named anchor --></a>
      <h3>INTRODUCCIÓN</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <p>Reconociendo
        que la gran mayoría de los componentes de ingeniería pueden degradarse o
        fallar catastróficamente, durante el servicio, debido a fenómenos 
        relacionados con la superficie, tales como el desgate, la corrosión o la
        fatiga, fue desarrollado a principio de los 80 el tópico de la 
        ingeniería de superficies. El avance del mismo fue estimulado por el 
        amplio rango de tecnologías superficiales: rayos de láser y procesos de 
        bombardeo electrónico, técnicas de plasma termo químicas, y novedosos 
        recubrimientos ingenieros (tales como el eléctrico sin níquel), el 
        implante iónico y, más recientemente, los métodos dúplex de modificación
        superficial. Sin embargo, los orígenes de la ingeniería de superficies 
        deben encontrarse, fundamentalmente, en las tecnologías tradicionales de
        tratamientos térmicos superficiales, tales como el temple, la 
        nitruración y la cementación.</p>
      <p>Un componente de ingeniería 
        generalmente falla cuando su superficie no es capaz de resistir, 
        adecuadamente, las fuerzas externas del medio a la que es sometida. La 
        selección de un material superficial con propiedades eléctricas, 
        térmicas, magnéticas y ópticas y la suficiente resistencia al desgate, 
        la corrosión y degradación es fundamental para su funcionalidad.</p>
      <p>“La
        ingeniería de superficies incluye la aplicación de tecnologías 
        tradicionales e innovativas a los componentes y materiales de ingeniería
        para obtener materiales compuestos con propiedades que no son 
        obtenibles por la superficie de materiales normales”. Frecuentemente, 
        las diferentes tecnologías de superficies son aplicadas en diseños de 
        elementos de ingeniería, pero, idealmente, la superficie de ingeniería, 
        no incluye ese diseño conociendo el tratamiento superficial a aplicar.</p>
      <p>Esta
        innovativa y multidisciplinaria rama de la ingeniería, a través de un 
        análisis tribológico del fenómeno del desgaste y de otros daños 
        superficiales tales la corrosión y el empleo de la ciencia de 
        materiales, permite optimizar las superficies expuestas en procesos 
        externos tales como válvulas evaporadoras, intercambiadores de calor, 
        bombas y compresores centrífugos, partes mecánicas y otros, para 
        prolongar su vida útil.</p>
      <p>Los tipos de desgaste más frecuentemente que se presentan en procesos industriales o de servicios son los siguientes:</p>
      <div class="list"><a id="id0x1054fe00"><!-- named anchor --></a>
        <ul style="list-style-type: none">
          <li>
            <p>Abrasión</p>
          </li>
          <li>
            <p>Adhesión</p>
          </li>
          <li>
            <p>Corrosión por pitting</p>
          </li>
          <li>
            <p>Corrosión por fricción</p>
          </li>
          <li>
            <p>Cavitación por impacto.</p>
          </li>
        </ul>
      </div>
      <p>Generalmente,
        tiene lugar una interacción de estos mecanismos así, en un sistema de 
        succión pueden encontrarse mecanismos como erosión y cavitación, fatiga 
        térmica y erosión en aspas de una turbina de vapor o abrasión y 
        corrosión en una bomba de pulpa por tornillo que se ve afectada por la 
        presencia de iones de cloro.</p>
      <p>La corrosión es ella misma una 
        interacción compleja de variables físico químicas, que siempre requiere 
        de un análisis riguroso debido a las diferentes formas que ello tiene 
        lugar, tales como la corrosión bajo tensión, aireación diferencial, 
        vibro corrosión y otras.</p>
      <p>Una vez que el especialista de ingeniería
        diagnostique los tipos y formas de desgaste presentes en el equipo o 
        componente, debe emplear la ciencia de materiales para determinar qué 
        aleación o recubrimiento emplear, ya sea metálico, polimérico, cerámico o
        de composición para prolongar la duración en servicio del componente. 
        El ingeniero debe también determinar el procedimiento mediante el cual 
        deberá aplicarse la aleación, y su resistencia al tipo de desgate 
        presente.</p>
    </article>
    <article class="section"><a id="id0x10551b00"><!-- named anchor --></a>
      <h3>DESARROLLO</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <p>La
        apropiada selección de materiales para la preparación de componentes 
        para pares de fricción está frecuentemente limitada por factores que 
        tienen poco que ver con la Tribología, tal como el costo de los mismos, 
        por ejemplo. El peso es un factor que puede resultar importante y 
        también la resistencia a la corrosión. Las propiedades mecánicas, la 
        rigidez y la tenacidad son de gran importancia, también, en la 
        aplicación ingeniera. Lo más conveniente será siempre la selección más 
        integral, por lo que resulta conveniente el empleo de mapas de 
        selección, tales como los de <span class="tooltip"><a href="#B6">Kostetskii (1972</a><span class="tooltip-content">KOSTETSKII, B.I.: <i>Friction, Lubrication and Wear in Machinery</i>, Inst. Army Foreign Science and Technology Center, Charlottesville Va, 1972.</span></span>; <span class="tooltip"><a href="#B1">Ashby y Jones, 2012</a><span class="tooltip-content">ASHBY, M.F.; JONES, R.H.D.: <i>Engineering materials 1: an introduction to properties, applications and design</i>,
        Ed. Elsevier Science, Second Edition ed., vol. 1, United Kingdom, 
        Department of Enginnering, University of Cambridge, Elsevier Science, 
        United Kingdom, 2012, ISBN: 0-08-096665-9.</span></span>; <span class="tooltip"><a href="#B3">Chowdhury, 2019</a><span class="tooltip-content">CHOWDHURY, M.A.: <i>Friction, Lubrication and Wear</i>, Ed. BoD-Books on Demand, 2019, ISBN: 1-78984-287-5.</span></span>) [1].</p>
      <p>Sin
        embargo, muchas de las propiedades dadas, excepto quizás la resistencia
        a la corrosión, son propiedades del volumen del material y esto da la 
        posibilidad de concentrar varias propiedades superficiales, de gran 
        importancia en la tribología; a través de un espectro de diferentes 
        métodos posibles de emplear. La modificación o recubrimiento 
        superficial, en la posibilidad de brindar de combinar propiedades en la 
        superficie y bajo la misma, esta última perteneciente al volumen del 
        material, lleva a la llamada ingeniería de superficies.</p>
      <p>El 
        desgaste, como un adecuado factor de función de sistemas ingenieros, es 
        obvio en el diseño. Sin embargo, el desgaste conlleva gastos mayores, 
        que se emplean en el mantenimiento, debido al costo de remplazo de 
        elementos, a la capacidad de producción, a la pérdida por la eficiencia 
        energética y consecuentemente de las máquinas. Todo esto, de acuerdo con
        los profesores <span class="tooltip"><a href="#B11">Rabinowicz y Tanner (1966)</a><span class="tooltip-content">RABINOWICZ, E.; TANNER, R.I.: “Friction and wear of materials”, <i>Journal of Applied Mechanics</i>, 33(2): 479, John Wiley, 1966.</span></span>; <span class="tooltip"><a href="#B12">Ron y Conway (2002)</a><span class="tooltip-content">RON, R.; CONWAY, J.J.M.: <i>Friction and Wear of Sliding Bearings</i>, Ed. Glacier Vandervills Inc, vol. ASM Handbook, USA, 2002.</span></span>; <span class="tooltip"><a href="#B7">Ludema y Ajayi (2018)</a><span class="tooltip-content">LUDEMA, K.C.; AJAYI, O.O.: <i>Friction, wear, lubrication: a textbook in tribology</i>, Ed. CRC press, 2018, ISBN: 0-429-44471-0.</span></span> [2] puede representar más de un 2% de; PIB de un país.</p>
      <p>Los
        diseñadores y mantenedores deben tener en cuenta dos consideraciones 
        muy importantes; el establecer la magnitud del desgaste que tiene lugar 
        en el servicio y ya conociendo esto, tomar las medidas necesarias para 
        su reducción, tomando en cuenta, los aspectos económicos que esto 
        implica. En orden de establecerla magnitud del desgaste, la cual puede 
        ser calculada, debe ser conocido el mecanismo del desgate, lo cual puede
        hacerse a través de la literatura especializada [3-5] <span class="tooltip"><a href="#B4">Hebda y Chichinadze (1989)</a><span class="tooltip-content">HEBDA, H.; CHICHINADZE, A.: <i>Manual de Tribotecnia</i>, Ed. Mashinoestroienie, vol. Volume 1, Moscow, Rusia, publicado en idioma ruso, 1989.</span></span>; <span class="tooltip"><a href="#B8">Martínez (2010)</a><span class="tooltip-content">MARTÍNEZ, F.: <i>``Tribología Integral,</i> Ed. Editorial Noriega, México, DF, 2010, ISBN: 978-607-05-0271-2.</span></span>; <span class="tooltip"><a href="#B5">Hutchings y Shipway (2017)</a><span class="tooltip-content">HUTCHINGS, I.; SHIPWAY, P.: <i>Tribology: friction and wear of engineering materials</i>,
        Ed. Butterworth-Heinemann, United Kingdom, University of Cambridge, 
        Department of Materials science and Metallurgy, 2017, ISBN: 
        0-08-100951-8.</span></span>, así como determinar los factores que afectan esto, lo cual puede hacerse a través de modelaciones físico matemáticas (<span class="tooltip"><a href="#B13">Stolarski, 1990</a><span class="tooltip-content">STOLARSKI, T.: <i>Tribology in machine design</i>, Ed. Industrial Press Inc., USA, 1990, ISBN: 0-8311-1102-X.</span></span>; <span class="tooltip"><a href="#B8">Martínez, 2010</a><span class="tooltip-content">MARTÍNEZ, F.: <i>``Tribología Integral,</i> Ed. Editorial Noriega, México, DF, 2010, ISBN: 978-607-05-0271-2.</span></span>).</p>
      <p>Los varios posibles procesos a aplicar deben considerarse parte esencial del diseño de los sistemas tribológicos. En la <span class="tooltip"><a href="#f5">Figura 1</a></span> se muestra un algoritmo que describe la secuencia de pasos a seguir en el diseño de un sistema tribológico.</p>
      <div id="f5" class="fig">
        <div class="zoom">
          <svg xml:space="preserve" enable-background="new 0 0 500 318.965" viewBox="0 0 500 318.965" height="318.965px" width="500px" y="0px" x="0px"  version="1.0">
            <image transform="matrix(1.7241 0 0 1.7241 0 0)" 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height="185" width="290" overflow="visible"> </image>
          </svg>
        </div>
      </div>
      <div class="fig"><span class="labelfig">FIGURA 1.&nbsp; </span><span class="textfig">Algoritmo que muestra la secuencia de pasos para el diseño de un sistema tribológico.</span></div>
      <p>Los
        metales y sus aleaciones son los materiales más frecuentemente para la 
        construcción de elementos mecánicos. Sus composiciones y 
        microestructuras son, en ocasiones, normalizadas, a veces, 
        intencionalmente y por ello sus propiedades mecánicas son fáciles de 
        predecir. Los materiales no metálicos se seleccionan con menor 
        regularidad y por ello sus propiedades, aún con idéntica composición, 
        tienden a variar. Sin embargo, en materiales, aun cuando las propiedades
        físicas y mecánicas sean iguales, su respuesta a las aplicaciones 
        tribológicas no puede ser dada por un simple valor numérico.</p>
      <p>La 
        selección de materiales y los métodos de obtención de superficies 
        ingenieras, para aplicaciones tribológicas, depende en gran medida del 
        mecanismo y el tipo particular de desgaste. Así, la selección de 
        materiales para resistir el desgaste será analizado en dependencia del 
        tipo de desgaste en cuestión.</p>
      <p>La variación en los parámetros 
        operacionales de cualquier sistema tribológico estará limitada por los 
        valores de dichos parámetros en la operación del sistema. Así, la 
        disminución en las presiones actuantes durante la interacción de las 
        superficies dependerá de la carga aplicada, pero esto, a su vez, 
        dependerá de los factores de diseño. Sin embargo, la presión dependerá 
        del área de contacto y esto, a su vez, dependerá de la calidad de las 
        superficies de ambos elementos tribológicos. Las variaciones de la 
        presión o en la velocidad pueden variar el mecanismo de contacto. Es por
        ello que, conociendo los valores de la magnitud del desgaste, es una 
        etapa esencial en el diseño rediseño de pares de fricción.</p>
      <p>Cuando 
        el tipo de desgaste es la fricción (rozamiento), los parámetros de 
        desplazamiento entre las superficies y las fuerzas actuantes, son 
        esenciales a tomar en cuenta. Adicionalmente, el control al acceso de 
        oxígeno como el medio ambiental, debe ser controlado. En un diseño 
        óptimo para este tipo de sistema, en adición a los factores analizados, 
        es necesario considerar la fuerza que actúa en la unión de ambos 
        elementos para evitar el desplazamiento de uno con respecto al otro, la 
        temperatura que puede generarse, la diferencia en la expansión térmica 
        de ambos elementos del par y las probables fuentes de vibración.</p>
      <p>Si
        tiene lugar el desplazamiento entre las superficies deslizantes, como 
        en el caso de cojinetes, el desplazamiento en sí no puede ser limitado, 
        ya que es algo intrínseco al par. En este caso es un factor fundamental 
        es la tracción de las superficies que puede generar un elemento del par 
        con respecto al otro. En este caso, el análisis debe ser hecho para 
        decrecer la fuerza actuante en el par que genera el torque.</p>
      <p>Si el 
        mecanismo actuante de desgaste es la fatiga de contacto, como es el caso
        de los engranajes, los seguidores y los cojinetes, son esenciales tres 
        factores, el número de ciclos de carga activos, los cuales no pueden 
        variarse y los esfuerzos de contacto, donde no solo hay que tener en 
        cuenta su posible reducción, sino los valores de resistencia a ellos por
        los materiales del par, especialmente en el de más posible desgaste. 
        Para la reducción de las fuerzas actuantes, los valores de la propia 
        carga y la geometría de las superficies son esenciales.</p>
      <p>Si el tipo
        de desgaste es abrasivo o erosivo, causado por partículas un parámetro a
        considerar será la de remoción de las partículas del sistema. Así, por 
        ejemplo, es el caso de las partículas contaminantes en el lubricante. 
        Aunque las partículas de mayor tamaño tienen un efecto mayor en ese 
        desgaste que las pequeñas, la eliminación de estas partículas será de 
        gran importancia, ya sea por el filtrado o por su separación por 
        inercia. Sin embargo, la relación entre la dureza del material Hm y la 
        dureza del abrasivo Ha debe exceder la relación de 0,85 (Hm/Ha ≥ 0,85). 
        En la erosión, parámetros fundamentales son la velocidad de impacto de 
        las partículas sobre las superficies, el ángulo de incidencia de las 
        mismas, así como la densidad del material impactado. En el desgaste 
        hidroerosivo, el evitar ángulos agudos en la variación del movimiento 
        del fluido es un aspecto a tener en cuenta.</p>
      <p>La lubricación es un 
        método poderoso para reducir la magnitud del desgaste en los cojinetes. 
        Considerando K, una constante que representa un coeficiente de desgaste 
        en el caso de deslizamiento lubricado, su valor puede ser 
        considerablemente disminuido si las condiciones hidrodinámicas de 
        lubricación se mantienen. Pero ellas no siempre pueden ser mantenidas, y
        cuando limitan la lubricación, el valor de K puede llegar a 10<sup>-6</sup> dependiendo de las propiedades del lubricante empleado. K es una 
        constante que en la ecuación de Archard para el desgaste por 
        deslizamiento, es:</p>
      <div id="e2" class="disp-formula">
        <math>
          <mi>K</mi>
          <mo>=</mo>
          <mi>Q</mi>
          <mi>H</mi>
          <mo>/</mo>
          <mi>W</mi>
        </math>
        <span class="labelfig"> &nbsp;(1)</span></div>
      <div style="clear:both"></div>
      <p>Siendo Q 
        la magnitud del desgaste que depende del contacto entre las asperezas, P
        la presión de contacto que puede ser sustituido por la dureza del 
        material que sufre el desgaste y W la carga normal aplicada. Valores 
        aceptables de K de acuerdo con manuales de <span class="tooltip"><a href="#B6">Kostetskii (1972)</a><span class="tooltip-content">KOSTETSKII, B.I.: <i>Friction, Lubrication and Wear in Machinery</i>, Inst. Army Foreign Science and Technology Center, Charlottesville Va, 1972.</span></span>; <span class="tooltip"><a href="#B2">Blau (1992)</a><span class="tooltip-content">BLAU, P.J.: “Friction, lubrication, and wear technology”, <i>ASM International</i>, : 175-235, 1992.</span></span>; <span class="tooltip"><a href="#B5">Hutchings y Shipway (2017)</a><span class="tooltip-content">HUTCHINGS, I.; SHIPWAY, P.: <i>Tribology: friction and wear of engineering materials</i>,
        Ed. Butterworth-Heinemann, United Kingdom, University of Cambridge, 
        Department of Materials science and Metallurgy, 2017, ISBN: 
        0-08-100951-8.</span></span>; <span class="tooltip"><a href="#B3">Chowdhury (2019)</a><span class="tooltip-content">CHOWDHURY, M.A.: <i>Friction, Lubrication and Wear</i>, Ed. BoD-Books on Demand, 2019, ISBN: 1-78984-287-5.</span></span> y <span class="tooltip"><a href="#B12">Ron y Conway (2002)</a><span class="tooltip-content">RON, R.; CONWAY, J.J.M.: <i>Friction and Wear of Sliding Bearings</i>, Ed. Glacier Vandervills Inc, vol. ASM Handbook, USA, 2002.</span></span> [6] se dan en la <span class="tooltip"><a href="#t2">Tabla 1</a></span>.</p>
      <div class="table" id="t2"><span class="labelfig">TABLA 1.&nbsp; </span><span class="textfig">Valores límites del coeficiente K en el desgaste lubricado por deslizamiento</span></div>
      <div class="contenedor">
        <div class="outer-centrado">
          <div style="max-width: 1160px;" class="inner-centrado">
            <table>
              <colgroup>
              <col>
              <col>
              </colgroup>
              <thead>
                <tr>
                  <th align="center">TIPO DE LUBRICACIÓN</th>
                  <th align="center">K</th>
                </tr>
              </thead>
              <tbody>
                <tr>
                  <td align="justify">Hidrodinámica</td>
                  <td align="justify">&lt; 10<sup>-13</sup></td>
                </tr>
                <tr>
                  <td align="justify">Elastohidrodinámica</td>
                  <td align="justify">10<sup>-13</sup> - 10<sup>-9</sup></td>
                </tr>
                <tr>
                  <td align="justify">Limite</td>
                  <td align="justify">10<sup>-10</sup> - 10<sup>-6</sup></td>
                </tr>
                <tr>
                  <td align="justify">Lubricación sólida</td>
                  <td align="justify">≈ 10<sup>-6</sup></td>
                </tr>
                <tr>
                  <td align="justify">Sin lubricación (Desgaste severo)</td>
                  <td align="justify">10<sup>-4</sup>- 10<sup>-2</sup></td>
                </tr>
              </tbody>
            </table>
          </div>
        </div>
      </div>
      <div class="clear"></div>
      <p>Es
        evidente que el desgaste por deslizamiento en condiciones de 
        lubricación hidro dinámica, es el estado más deseable y en el diseño 
        deben tomarse todas las medidas para que esté presente en condiciones de
        operación. El factor más importante que determina el régimen de 
        lubricación es aquel en que se obtenga el mínimo espesor de película 
        lubricante comparado con la rugosidad superficial., que puede ser 
        calculada por nomogramas especializados, teniendo en cuenta el integrar 
        el factor λ con la integración del resto de los parámetros (<span class="tooltip"><a href="#B4">Hebda y Chichinadze, 1989</a><span class="tooltip-content">HEBDA, H.; CHICHINADZE, A.: <i>Manual de Tribotecnia</i>, Ed. Mashinoestroienie, vol. Volume 1, Moscow, Rusia, publicado en idioma ruso, 1989.</span></span>; <span class="tooltip"><a href="#B13">Stolarski, 1990</a><span class="tooltip-content">STOLARSKI, T.: <i>Tribology in machine design</i>, Ed. Industrial Press Inc., USA, 1990, ISBN: 0-8311-1102-X.</span></span>; <span class="tooltip"><a href="#B12">Ron y Conway, 2002</a><span class="tooltip-content">RON, R.; CONWAY, J.J.M.: <i>Friction and Wear of Sliding Bearings</i>, Ed. Glacier Vandervills Inc, vol. ASM Handbook, USA, 2002.</span></span>; <span class="tooltip"><a href="#B8">Martínez, 2010</a><span class="tooltip-content">MARTÍNEZ, F.: <i>``Tribología Integral,</i> Ed. Editorial Noriega, México, DF, 2010, ISBN: 978-607-05-0271-2.</span></span>; <span class="tooltip"><a href="#B10">2017</a><span class="tooltip-content">MARTÍNEZ, P.F.: <i>Mantenimiento Industrial. Conceptos y aplicaciones</i>, Ed. Editorial Cuba Azúcar, La Habana, Cuba, 2017, ISBN: 959-261-526-8.</span></span>; <span class="tooltip"><a href="#B9">Martinez, 2011</a><span class="tooltip-content">MARTINEZ, P.F.: <i>Tribología integral, Ed</i>, Ed. Limusa, México, DF, 2011.</span></span>)[4,8].</p>
      <p>Para la evaluación de diferentes fórmulas acorde al tipo de desgaste, el algoritmo desarrollado puede ser consultado (<span class="tooltip"><a href="#B8">Martínez, 2010</a><span class="tooltip-content">MARTÍNEZ, F.: <i>``Tribología Integral,</i> Ed. Editorial Noriega, México, DF, 2010, ISBN: 978-607-05-0271-2.</span></span>). [4]</p>
      <p>En
        general, el mayor valor de K tiene lugar en condiciones de 
        deslizamiento metal-metal, menor que el que tiene lugar en condiciones 
        de deslizamiento metal-no metal y no metal-no metal. Si las condiciones 
        son de deslizamiento metal-metal, con las mismas características, el 
        valor de K es aún mayor. Si las condiciones son de deslizamiento de 
        metales diferentes, el valor de K decrece y depende, esencialmente, de 
        la compatibilidad tribológica de ambos metales; entendiendo por 
        contabilidad tribológica, la facilidad de que se establezca entre ambos 
        metales altos valores del componente molecular de la fricción (<span class="tooltip"><a href="#B8">Martínez, 2010</a><span class="tooltip-content">MARTÍNEZ, F.: <i>``Tribología Integral,</i> Ed. Editorial Noriega, México, DF, 2010, ISBN: 978-607-05-0271-2.</span></span>)
        [4]. Esta posibilidad está fuertemente relacionada con la estructura 
        cristalina y molecular de ambos metales del par, así como con el valor 
        de su solubilidad en el estado sólido, el que se interfiere por su 
        diagrama de equilibrio formado por la interacción de ambos metales. En 
        la <span class="tooltip"><a href="#f6">Fig. 2</a></span> se muestra un mapa en el cual se puede apreciar la mutua solubilidad en pares de fricción, formados por dos metales puros.</p>
      <div id="f6" class="fig">
        <div class="zoom">
          <svg xml:space="preserve" enable-background="new 0 0 500 448.121" viewBox="0 0 500 448.121" height="448.121px" width="500px" y="0px" x="0px"  version="1.0">
            <image transform="matrix(0.7519 0 0 0.7519 0 0)" 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TuH2f4/b%20fYmw4HZDJqB/UOz58SK49/brIVrbIh3jjpduVHArNHt73U7G9npgTK97kz29Hne8a0Xzn+O8C8R7%20Q3kbkeDWZPbbSaGJUiwTLZLI50a4ID6NICJ+yZZjMcJBDl2NYOkU9jW3fcdk4FEr/n+JW6+LBG6j%20Tp06Of4xI3aMaBwnmI763bp1s9+ZZO9dFei6W5b2ui+0tlGedIDpdW+S1+tJJUhTrl+/Hn3AYbmp%20jnHbFABmIsWyZcvwyzYcOdK+fXsmSaG9OCw34//8jgCljrE8+JJOr0tuoLAj3gjLrZFlQEkRxxts%20gOWGWtPrSr2uiGNPhIVW49mG6fUQeCAjsd+izzG9Hhp068BZZ5110UUXlShRYs+ePbVr165VqxYt%20MmvUqIFklJMLfdLGEY+mHDx4MCZLt8kYW33dI+uGmz7K5UWLOlivu03hkqJ1P3rSo0ePbt263Xvv%20vffccw+Sd91115gxY7p37/7EE08guXXrVsgQBg4ciJyPPvro6D46Cd7rwK19CfFqCW9xuqQjvwlH%20xG1UAbfbVd1615Jv/5M0e0ir19WRxFn6aDUeFldccQX8JFhW3mF6PSJS3c2g4zzx5ptv4veDDz74%206quvDhw48PTTT19yySVff/01jvPffvttw4YNsRX5pUuXxskBzf1t2rTBOcH27dunTJkS7Ka82PS6%205YEEx3tk3YjvHauayINed7uDxa3zpk6dyqRcoMmhJOUDyXkAkbd3rNJT0HlO3sQ6li5MCgOL8Yzl%206CBNcejQIcrBqfuiRYtwAD/ttNMop06dOsOGDWvcuDGW1LNnz77pppvQQ/SYwPDhwx955JFXXnmF%20/neGkSVLlkDYtWsXjvlVqlTZvHkzMpctW4bFwqBBgyZNmoSFw5AhQ15//fWrrrrq3HPPPVpACt+9%20zhyPM6wmWUxs5nUJ3DjigIRM45xzzqGzM5yR0QeWcnJyXnvtNQh//vknflu0aEEfZLrmmmuuv/76%209957DzJ49dVXsQCmPwtuvvnmmjVrQkCs9+3bF4cEySU2OcF73fHmBQ56QpxiVXqdDlwW1O+RNX+c%20qJOoWAeFCxfmnxs3uJG0Xs9YcGrGpFywRt+5cyfO4/7zn//Qgapu3bpnnHEG1pk4xXv22WcffPDB%20mTNnjhs3DpvGjx+Pwz5W85A7dOiA38svvxzzxZVXXjlq1CgkL774Yvxil/vuuw8nbjgS9+zZ8/HH%20H0dmo0aNHn74Ya4DYtnrs2bNWrFiBTUHiEWvZxTBex1t7dbcmNEtW7lMgriJQM6q3Dd/iyAf8704%205ds/c2u3lmlgmX711VdDwAoKvytXrnzrrbd45EVPWr3Of+2gn8RNnh2DUzPHCyyO98jC6XjFutjB%20v/32G5PyDjOvZyNJ6PW4cOjQoV69etF/+TVq1Dj//PMpn+jTpw+TUpQtW5aEiy66iAQ79q/Ec6ZN%20m8YkJzK6180SXBPBex3TLfWl32df3EaAfV5PTK//9NNPJMyfP5/m+IMHD1JOnmCO8NFh//MwrzC9%20no1kRK9brrokmLfffhtHeyzWDx8+zLK8mDNnDglr1qwhwfKN+ADo6nV0s9jTkl63X3VJKj179mSS%20wPDhw6+++uq2bdtiNNx0002dO3dG5h9//PH+++/v2rUL8siRI9HN06dPf/HFF5FEeIwfP/6f//zn%20N998A9nRpifBex0ncXQeZ+/RwYMH0+U5lhZ0SLDsAieyJNZxEvfoo4/26NGDpfMIM69nI6bXs5G8%207PWhQ4cyKblMykgkn8bx6HX5vTTYKv5Rxns98Ju+DGEhXwJoj3VDBmJ6PRsxvZ6NyPoJy/EFCxZQ%20Xzr2qOWvFNPrcSHMfjK9HhdMr2cjpp+yEdPr2Yjp9azDdHnWYbo86zBdnnU4dHm4iy6/1nTr5wkZ%205aSDK6bLQ8d0uQzT5bpxcEXFP9JxfArCsruYdHyK0WJEXjr/a9/yugpfSHZxrBFw3IVesOm2C0G3%20Gqg4qf7WzTRxcEW9EVFbu7J4PwUgBd7Z6DN7x4tGLAYtSexOTWz/+4dGg+OosmDx0IL8TakiKIuP%20PEf4AOVOurnnqRAixzQoYWllR9DucM7S6Bzk8CeT+VYIGMjA0qZcgfIpCftikiNaEwUafGhiiz45%20ae9FUrMo80waVRzkEPZ8jB78olL4Zbm5QJmPLb6VBPgjmoLsWFlNOJQRbsF+renWzxMyykkHV0yX%20h04MutyQt7Ce0INzlzMpDPxa4/onnXQSZP56TTd0N1AoZJSTDq6k7x8sEC1btsQvctq2bUs5gHQ4%20lk38l/O3v/0tpXiUQoUKsdxcO1xQR+KM3T6Q6CviuWOUr7F2cEW9Yo6aRxvmWOyZpEmwLAF7JmkC%20lk5RuXJlyqFN6tDuHJabgmWlIPuWTECZwPFjryJcWdzLE93vsHZwRdE/t6/ZU6aIPZM0CZYlYMkU%20o5xlpahUqRLl0CbguKjli2MO7c5huSlYVgqyb8kElCmycOFCJgmQMn3SX9wLKzomuZApXW5xdPfu%203akaHaVUqVIsNxe24S9/ueGGG/CLnHbt2lEOIB2OZRP9AvQ05JIlS1KSyJ8/f0rxKJTDBSDKHPvV%20EokzdvtAou/4cV+ANmE7/OUv1FZsgwtdunRhkn4cXPH0zxd+renWzxMyykkHV0yXh47pchmmy3Xj%204Irp8tAxXS5D1OcfPpFgutwvDq6k7x8sEPxSjDqivn3fo0ZzoZcTQaBNoVC9enVfBsXPhkkgmxny%202TCH6ol1DtCg2MUC2yDgdhGjXr16XJ/2Pf744ynpBtfnwAiTcrfaderWrcukYzla5F/+UqdOHZa2%20IRqvX78+6bO0gMW+XScPvxnm4K7oHy3H7VczJKQa4RjYBpdLFoC+1UbfbSP9AgUK0L7A8o2aatWq%20MSkFFEgQjYhY/uTm2D8TR8URLCsXR+NMNQXLEhDt2xUytMvlt3xISDXCUfilGM4tt9zSrVs3lnDC%20ou/IGWecwSQ1/TyHnIzyeosEh/YKtxEVrfFPHPstXdT3+51kX/p+jYPAldKKgyt50uUc3fp5guly%20GabLdePgiuny0DFdLsN0uW4cXIlpl3vesGChUKFCTNJDs2bNduzYUaVKFcgx63K3dS3lO/7h/3IK%20ki3W3CrP8+2CBU+D4urfzUjhwoWxyf4pGzd9v7z//vtMOnLk1FNPDctsKDi4IvoHefDgwfZb/wmV%20mog6jnetAPFSj6V0Jh2Lm77jDQt2I3PmzEEmwbIEHDPT4eDBg6HbTAePOkvu2qF2d7tcw48Nltq6%20VZ7nc8HtKKJokHA0gl1EWG4KyaHLFzGO8vTxa023fmQ0b948rnN5mmRtl4uYLpdhulw3Dq6YLk82%20mdLlf/75JwmivsoXqjztq9xak1XkQZcvXryYSQJcTdS37xvgASVPhcDwP8ocb2XPWByaw9KafLnl%20iHiXiCPcWt++ffHbunVrSopAB9ANMFxfzORQJmF5QMnRT+xOyiydC3IC3A0gXuCj7x7HEWtbAEsD%20oSmxBLe8bMPtFhQ7ojXHT4haboDBrz2TNAHLSmF/QMly906rVq1IE8Agy83F7fUhUGZSLo438ySz%20y9HZL+e+eMPeEIr43VGuL3lACQK63NLrbqQMHL2wyNK5IJP/ijjezJPAA7scxS8oKVrj6NY3BO9y%20RUyXZxrOXW4IDGvEDMa5y5kUBn6t6dY3mC73QYbclZwmQbrc1/0noXfh0qVL8+XLxxLH6iMfW1ni%20WPzeM8PJw2cMNOHR5W43RxBuT5/AAr/QIVpz606xFDcdDhQAvyTA9ZFDmyhJuHlIi0+WkJJ1Xe6G%202wszCFrQkyxac7v6Id6SINfHVg7P4QKHcgjHJTWwqHHcnAQZ8hxhmjhU260tguHXmm59g+nyrMN0%20edZhujzrMF2edZgu/x8dOnQgIcBzxTEiSJfLL2tgkQML3AgJkl2gQLvwpCjwJMeSb1dQeXEIcjp1%206uT2KAWI79/hnljbAogNJGkU4HahQ1zaWprbcRdRR5TdbsgR87m+3xeHyO+Kyd4uB5YkIb8UI17b%204oJ8F45jcRL86hMNcj/LI8LdMwf2tNDdhaK+4l0bWU6iutyggunyrMN0edYRsMsl37qxbNLdhX71%20CfEVD9lGkC6HAkf8CgZguSloEwTapAjppwz8D9rkiGQr7UvQC18Jy8PfTMoaHNoLDcSkFPalOTUi%20h+WmYFm5UA5tIixJDs93U+AULVpU1FHf0ZGDBw8yKWtwaCZ7I65atUrseORzfEW524Ud8XkDUR9U%20rVqVSSn69euXsv2XggULUo6ob3/7g+WFr4SJciu8EXkLLsj9jDDH8Vs3hGWTZUdLksPzRYXTTz+d%20SblgK2f06NGUQ5vc7mYRX/jKEV/xkG04dABvxFDwa023vsF0edZhujxdOnTo8EBGwvyzYbo8Xdzu%20nM9YTJenC+/yCy+8cO/evbVq1Vq3bl3nzp3//ve/n3322a1atWrfvv3NN99coUKFsmXLQu3GG28k%20/bwiD7rc8cUhHE1dru/ZIt7l9JfrNddcg98xY8bgt3Tp0itWrIDC2rVrb7vtNuRgNOA3bwne5fR/%20s+OLELH+5ktwbk3y4hDA1eyCBUu+RD+aB014l/fo0WPTpk3du3ffuXNnv379kNOnT59hw4Z17dr1%20zz//xNa77rrr2WefRX7Pnj23bNmS2ikPcGhWe9sptr4joo7ji0OA26UYN/tu+pbxF3GXxwWHNrU3%20tOOTadTuft/h6gZX44LbUcRikCclDxYBfc8WJbPL08GvNd36oWO63EpWdTmcIcTL+JmG6fJ04V1+%202mmnwRkOZT788MM4ad++fTvWb88//zxyzjnnnMaNG//000+QcZb3n//8BwKWdu+9997VV199yy23%204Jz/mWeeadasGfLfeuutwE/Gu+HQXtzdUPBrTbd+6PAupy85cChz4MCB6OlixYqde+6577zzDnKG%20Dh36xx9/TJky5d1330Xy999/x++ll15K/xL9+OOP1PGQ33jjjfPOO+/LL7+EHCIO7cXdDQW/1kR9%20/mJXCeF6GwDHA/ugQYNYlh9U6ps+ed/l/J/v1atX41fUV/GE6+TVi/cSePoW4F2nHMxDorWXX35Z%20vpQCXB8CsH/Z2OIP6efhwyVJ63KSxRwRt3zxKSRRR7yEYqFixYokkL7ky8YAmUzKlTOqy6M5PgfG%20oc94g9LNMATliFCm4yaAoyu9oYUryPU5KgqrVq2ymAUZcmCHP9ylk046aePGjT/88AMlAU7RLUcp%20y0N0GC6Op+ivvvoqfum2MJz90Qn/008/fXTbkSOPP/44CSo4tC/3OBT8WtOtHzpil5944onwh0Dy%20oosuwu+yZct69+5NnVSjRo0ZM2bgLH3mzJnjx49Hzrp165BcsmTJxRdffMcdd+zZs2fbtm3oS+Rg%206/Dhw+vUqYO9Jk2ahCTWbNgLajixR/LAgQMYHzgHotP+nJycSy655Pzzz4cswaG9yN2w8GtNt37o%208C7fuXPnEIHvv/8emX369EFP4AQewpo1a3Aqc//992N5hp6GAIUXX3wRY+K///3v/PnzP/74Yyzk%200IvoV1jA1nHjxuEXYQ0LWOJDxiofMsbE7Nmzx44dC4VHH3102LBh2NS3b9+HUkCW4NzlCYBVRj9J%20O31LH7/WdOuHjtjliON9+/aR/Ne//pUEX9Bc8Pnnn+MXQYwjeSo7TGLW5Z07dyahdOnSJGROl3/9%209dc///wznZ21bNkSp1p79+5dv379I488Ur169aZNm06fPh2z8g033AAFHJ/xi3m6SpUqmBFwqC9X%20rtxRKwKffvopr2+IxKzLRYYOHYrfzOlyrFBwtoXzr7lz5yIJ+cEHH4TQvXv3Xr164Qzu7rvvvi9F%20ly5dHnvsMWxau3YtVqc4HYNMN5VA7amnnqKbanDAwOwOIVxkXd6pUycshzBsPa+fWIAFvhQRu8St%20e3y9w5VTqlQp/KrrayJRczn1BHW5Y8vyu50slNH2Dlf7eyJMl/vFob3CbUS/1jz1W7RoQbeKEqbL%20/RK/LreQOV0uXvXbvHkzk45l5cqVJGDKx++bb75JySlTppAgIl64nThxIpPSxnR5uohRTvet0v3L%20oGjRojhjp0suOIMrX75848aN9+/fjyRO2QYOHHjjjTfiTO3pp5+mfx+ee+65AgUKjBw5EnKbNm3o%201YPLli3DWd6pp57K78uuXbv2zTffvGTJEpzPv/baa5dffjnlKxL7Ls9zxC63fKQVa7O6devSNfOf%20fvoJIwAn7ZAR4vPnzz/rrLMKFSr022+/lShRgr4jgWPDGWeccckll0CeMWNGo0aNDhw4AJs4+f/H%20P/6BbkY+wGoQ6zfkP/PMM7t376abrj788EPFZ+Uzt8vj8m4Py1wOn5kUOYof9M3QLo/RU/+JOn3D%20BAPZ8mcfh9TsPUorOp4vCli88SQHOeIi0K6Q4e/24F1OkzSBKXzfvn1PPfXUiy++yLIyBmv7Asde%20YdKx8OcTLIjraXFfNzt2nThGefHixUkgnnzySZraL7jgAsrJEBz6wK1j1HnZ6R2uhNvVGw7Xj8u7%20PXiX8z9UMhwtXS7i11q4pUdAoubyUDBdnmmYLk8X0+VWEt/lO3fuZFKK2267be/evbTKwHk7ZZ5z%20zjn43bVrFyUbNmxIghxxid+9e3cmpU1GdLl41SV2XU5Xy0X4+2s/+ugjLF6WL19+3nnn0Q2K4Pzz%20z2/UqNHMmTMhY3B07dqV8jEgrrnmmvvvv3/t2rVIVq5c+d13323cuDFknPw//PDDmzZtojcVQMDv%20tm3bevbsSa8hqVWrVv369SH06NGjZcuWECTkfZdb1mMJ6PI8gbpcBY8ul6yp3B75B9iL72jpQnmP%204ngYuy63/4Wf4Xh0OeH4Fgmg0j2ijuMAinuU89O3//u//8Mvjqs///xzzZo1hw8fTvmZhneX229N%20IYK9OMSxR8WrLvHtcvK/f//+NAHXqFEjM59U8u7yNPFrLb5dHhdMl6eL6XIrpsszjYzr8thhutwK%20t5bUL9jYu7xz58779++XP/NMT5KKTJ06VXzw+Ndff2VS2ETU5TH6/9svli6nl/4QTZs2JeGBBx7o%203bv3xx9//Oyzz86ZM+e8884rX778wIEDn3rqqZUrV06cOPGdd96pVq3akCFDypUr16hRo759+/72%20228tWrRo0qTJ5s2ba9WqRXZCQdbltAxzW6RJgAVuhAuchH3BRnJgp7dp7Nu3D1XeuXPnsGHDxo4d%20+9577914441nnnnm5MmTu3btOnPmTAQ31nVoqG+//bZ9+/alSpV69dVX165du337dhwUf/zxR35R%20NhRkXS72luMNMPbuJOxPn2RPlPfq1YtJR44Eey+UbmRdDkh27Fq3TZ06dVogfH6HC0n9go09ym++%20+eYnn3yS3gaQgbj2ZViEay0DkRzYMxPT5emSkC6PBlZezDFRbiUxXeuG6fKjvPLKK0wyXZ55hN/l%20t956K5NSJL7LJ0yYMCkjYf7ZCL/L+T1+ROK7PGOZN28ek45Fqcvdus3xLpfJkycz6ciRChUqmC7P%20K9Lq8gAULlw4JycHgunyTENXl3NMl2capsuzDu1dbsg0TJdnHabLsw5Zl9MazG0EUL4ZH7HDu8vp%205gjHrnV7cYghk5F1OUCnAhPKScKjyw3Jw3R51mG6POswvZt1mC7POkyXZx2my7MO0+VZh+lygyH5%20mDg3GJKPiXODIfmoxnnEl999FafbN93OaLKfUc0CdPsDIigipmTKoLHgqzjdvul2RpP9jGoWoNsf%20EEERMSVTBo0FX8Xp9k23M5rsZ1SzAN3+gAiKiCmRDhoYER9cRdLNrD2flB3f/u9L2QJ0oEnvuYNv%20kPFLL7/jIJNJqXtBj5pO4ekMqYkydrG/2pzrEKRJsCwBMZMc5iCHfglRJlJaSs0iInaZ+JZ+i30y%20TrCsYxHzLffT0uvEVBw7av0vf6FvdsIx6j62zeaS/NOeFnjPUh2RpPxk4NwldlB/JqUBOgZQu8Mg%20b8pU8x5jX0xC3/K+SYu+XBlAwe0zEhwyQhFu6WPRPqAkN4gkKkUysCjDILZylyjOHQ2K0Jv0SMa+%20ooJdWfRWlEVNS7Pw8LBbs4AdxaOeJM6B6DZqDQUxdC36pMASuZYpMi2aFmgrfu3HBcuOSPJao2Us%20LWmHtsITWIY+OUOb4o5qNUKpMMUDmpuGI/1yy5IxlH4S488+LCzAPdExjsS+RRNYlHmQUD58oEgQ%20d3SzT2OUGo1jUQaiKRWzBCXFGLbDe4Tvq9JHotsSfVJAJjUIaaqEFtqQlKHJw5hw3JcKopYR/bEj%207k76KAtQTqzxaFOOZ+uHi6/idPum2xlN9jOqWYCnPj8X4IJfdFc5vmTKoLHgqzjdvul2RpP9jGoW%20oNsfEEERMSVTBo0FX8Xp9k23M5rsZ1SzAN3+gAiKiCmZMmgs+CpOt2+6ndFkP6OaBej2B0RQREzJ%20lEFjwbG4M844A/nESSedxD9chSQJxNSpU7GV1AD/tLwcyV5IMunIkbZt25KCSP78+dlmJ8/d3OYg%20n0kKqCvbNYO1jGKzA7l95DBJG6EUMWvWrGbNmq1YsWLHjh3jxo1LxneCgg+a9Gnfvj2TbFiK+9vf%20/oYcR9avX49fUiPZEVggHTuee0EgzapVq1K+I6TDBSB3myn5bFt1ZVEzWMsoNjtQsQ+ZBECbHPnu%20u++Ykhf28YPdmRQI1EL88ptI3L8CF2TQcOhfGWxadeztCioULVoUuwDxS3McizXSlEBqxx13HEs7%20QTp2PPeiX1CpUiXKdIR0uAAo3w2mZKss4Dni/2SERNmySUwGaxm22R2mp2afC8SAAQOYlMsNN9zA%20JC+6du1KlsUzKWApAvA/cUkmwQ3Ugkk24v6BT9c+tmBvQcDj3PIrp1+/flATKViwINuWCzKZlEJx%20Ygk2a3nuBYE0Qbt27WiTiNt5u9xtpuTSaAucbvgBjsqdUrd2sEQuomawllFsdqBiHzIJIhMnTiQB%2050okeFKsWDGyzOEfIoVMggW3fAuohZnPHTTFuyxIwbNB7Z3EGT16NFNysVOyZEnSBPny5cNqkPKR%20JIHAAlIcoNiLbZAi2QtJJilgV3Zzm4N8JuXCpyD7JnsOPxxYNtk1g7WMYrMDuX3kMOlYTj/99Bkz%20ZrCEFIwQsmyncOHCUIBAmhx+lxEE+U0yHNSiefPmZn0eBb6K0+2bbmc02c+oZgG6/QERFBFTMmXQ%20WPBVnG7fdDujyX5GNQvQ7Q+IoIiYkimDxoKv4nT7ptsZTfYzqlmAbn9ABEXElEwZNBZ8FafbN93O%20aPI/o5oF6PYHRFBETFFtl4hb0LE49Rs2wsXRfk5OTqFChVhCIIAzmvwPy2yRIkXo68YW/Nr31YzB%20sBSRyDtegqHaVZrGohuW4sSruBYsf/AQ3333HW214/gfKdvmBJlierkULlyYtoJp06ax3BTIYVKK%20unXrMklgxIgRTEoh7pIy6Yz6DSQEdmFSLn6bBVVjm//ylxNOOIHl5oJMJqUgNUeWLVtGCqTJkTSj%20I57+QyDNBP9DFgxr07vBW5DD/7GQP8McDEtxR3tSCtM7Fvt9F/Z7MziS2zZE+3PmzKESRfLly8c2%20OzXUwoULN2zYwBKpfxaZlItlF783kNDu9j+N7J4Qis1y/PHHw4IFVJ9tdrIv91zU92xGCRL/YYSE%20BN/xEgznoWCHt6AF/mIA+rXfvxUMS3F+53NOtWrVSOD3Y8hxvG2D208V6MqiRYtEZQu33HILfrt1%2060ZJEcddfN1AAgvy+2QsyJsFFcG+EkiNCxbcPBd3lEDNKMfNf+xOgpnPLbgOBQu8BTl0wxbyIQAI%20mOHxq3g3ghx7cUD9hg2RGTNmYGHPEgrYb9uQ27cgUd69ezeTjsVtF88bSOh2Y35XIhCjHUkmOeG3%20WexI7Dt6LvfHL47+W4pI5B0vwVBt+nA7yRNfxen2TbczmvzPqGYBuv0BERQRU1TbJeIW9FWcbt90%20O6PJ/4xqFqDbHxBBETFFtV3QggZDwmCDOwvwEedMigRfxen2TbczEbdtWPh1O4JqxrQlI0C1XSJu%20QV/F6fZNtzOWXZB0g/6ITp8///yTSWkAf5ikhl/9AERQRExRbZeIW9BXcbp90+2MfRe/f6H7omDB%20giixevXqLB0UvzUN0DJ27rzzTvvfFvSfJQiliESi2i6OLbgq96sDAdqXduE321hwNEiZVKKIW+nI%2093yFCAdmO3Xq5Pj/f1jO2P/iJtx2UfwL3c0TO/Xr14cy5/jjj2cbpEATv+o1dcOvvp1LL72USTbo%20b7z0i0gqqu3i1oINGjSgEQBBPagA9BHkbrs4FocghL790ODmG/29zxIK0N/RLCEQijPQR5UdQ13i%20pMo7GNw8sVCgQAEUZKdJkyZMwwW/NXXDr74dE+eBUW2XiFvQV3G6fdPtTMRtGxZ+3Q6lml26dDHn%207QFQbZeIW9BXcbp90+1MxG0bFn7djqCaMW3JCFBtl4hb0Fdxun3T7UzEbRsWft2OoJoxbckIUG2X%20iFvQV3G6fdPtTMRtGxZ+3Y5pNZOBatNH3Em+itPtm25nIm7bsPDrdkyrmQxUmz7iTvJVnKg8ZMgQ%20Jh1Lw4YNmSTF8fUmjs6ov0/G7TU4HOQzKShur3zRil+3LfrmZS9RotpVlk5CUvyjBUmLgh3SccR+%20mxcymaSAXXns2LFMSlGzZk0mSXF7vQmSTMpF8X0y8sfmmZLNPil06tQJLUwC2+CE/JUvFkgNZmGT%20BLbBBfpjEkDmAocn0X201Y74vgckSTAPh0fPMT0ngXcSgSEC6J9zbCojfFdATFpQv80LRpikgKNy%20iRIl8Lt169bZs2dTjgT5600gkwB8vU+GtrrBlFz8RybCjCVc8HzliyPQUbmphgM3HDsUdpiUwvM1%20NVzfvOwlehxGmCOWTqWpgI8AMc7dgpyjcpuXpTg5bsp33HEHk6RgdwmLFy/Gr6Im6ZAyCDafA4pw%20zLput9ApvvLFDr2UwrOPRKiv7TbtOfLX1HB9M59Hj+uAsCAZOhyu4zkRed7mpVIcx5dyANJ0JsB3%20l2KBo9uOr3khLPrmZS9RojrCIh6LvorT7ZtuZyJu27Dw63ZMq5kMVJs+4k7yVZxu33Q7E3HbhoVf%20t2NazWSg2vQRd5Kv4nT7ptuZiNs2LPy6HdNqJgPVpo+4k3wVp9s33c5E3LZhYXEbC2wss7HYxpK7%20WbNmOm4TMARGtenT7CTs7objO1KQzyQFfCkHIBRn2rdvzyQbEvuSvRT/tdYHCiLB7SL5+++/L/9b%20wRAZqk1v7yR+UV2x/3y9I8VuEzn0Bw/9ijg6wDMV3ZPoO+b4cqZo0aLIB7169WJZAo67dO3alXbJ%20nz8/y3LC819rEfEBe8W/1qDvWVPJW6i4DhBlQ8SoNr1bJ9H/sQAKnVJQ0g1f70ix45jvpoyhaR+d%20EnhdLKTjTL9+/ZAjUrBgQbYtF2QyKZdixYqRMmfQoEFsmw2/35zx9ec5AQeYJMAzzXye+ag2vb2T%20xOGyYMECChLPf86ByjtSJMVBsNw94jiAxAMQCXL4EcGuH9gZe7hyRo8ezZSO3QX5pGCncOHCTMmG%205F9rC/xOOBgkQY56s1vW57NmzWIbclEs0aAD1aaPuJN8FafbN93ORNy2YeHX7ZhWMxmoNn3EneSr%20ON2+6XYm4rYNC79ux7SayUC16SPuJF/F6fZNtzMRt21Y+HU7ptVMBqpNH3En+SpOt2+6nYm4bcMi%20pm5nJ6pdFXGn6g4tX+h2JuK2VUd+60vGum2wo9pVaXYqdncjxPtkUvaccSxFEezOJAV8KRPiLkd9%20dSGdKvhF5a8yuESCIfNR7Sq3Tm3QoIG4if8NYyfN+2QAZdo3iTm+ShEhI6tSUA4nsDMc/r+jY/tY%20dvFbBTdPHCE1z/dMqNz6oliiIRNQ7SrHTuX/OfM/qyVxTqRznwwi0DHfnqlYigXYcbzPJ01nCLSV%202ybHfPUquHniBpQ9b3Mw83nCUO0qe6cih2eSjCDhORIC3CdDlmkWOlrSsVstSUKlFA63ieMUBEu0%200yaOX2fIJgQKSLuCPYfwrILcEztchwTPaJff+kKmDLFAtasi7lRfxen2TbczEbdtWMTU7exEtasi%207lTdoeUL3c5E3LZhEVO3sxPVrkKnGgwW2OAwZDw+4pxJkeCrON2+6XYm4rY1ZCGqIyz9sdi2bVsY%20seD2cDU2kaCyF3KYpAdf9gM4o9t/4s4775R8UdiQbFRHWJpjsWrVqrDgBlMSoEzFvURZBxb7I0aM%20YJJAvXr1SHB0ZunSpcgXP+cgEsz/unXrMknA0Tdw6aWXMsmG+r8ShviiOsLsY1HM8fyHplKlStB3%20gykJUKbiXqIsgnyV5+GJBQsWdOrUSeU+FlCsWDEmHTmyYcOGhQsXsoSTcpEiRZDJgT7bkAsymZTL%20qlWrGqRgaRdQrmhN9MqCifMsxzlC7NjHoiUHcYLRCcHtFS7t2rU7OsyPxfO8XWUv5DDpWBDkbpsc%208XXrS7du3fBrP+8VlXGejKSdUqVKMY0UyGGSANrTMd8O+UD+SOjSpYs5b89alEYSUBxzYeGrON2+%20udnfu3cvkwQCOJO+/46eGAwc1RGmO5Ys+CpOt2+6nYm4bQ1ZiOoIi3gs6g4tX+h2JuK2NWQhqiMM%20Y9GQeFhnR87SpUuZZFDA/g0MT3zEOZMiwVdxun3T7UzEbZuBmDj3hYnzI0OGDGHSsTRs2JBJ/gns%20jCLptK3n145igSXOx44dy/8aaNu2LX7nzp2L30OHDl111VVbtmwh/R49euB306ZN+/fvHzhw4Btv%20vAGF33///bbbbkM+KFu2LH7//PPP4cOHT58+HfLbb78N/dTGGGPinIGBwqQUNWvWZFIg0nTGk2Bt%20q/h1hFhgifOXXnqJ/kGYNm0a/fO3Z88eZEJA/FPMg969e+P3m2++Qeby5cshlypVavv27XfccUdq%20+5GTTz4Zv8OGDcMu3bt3xyGA8uNO3sS55WltRcig25/tjsVRJj1uLeKoXKJECfxu3bp19uzZlCPH%20130ywJczAPl0f4Ed+y4q98kofu0oFpjzdl/kcZz7CngMYgS52/1qjsUhCKFvPzS4+caP64r4uk/G%20rzPQR5UdQ91xF8/7ZBI8nxvkmPN2Leh2Jh3/Pb92FAtMnPvCxLkWdDsTcdtmIG5xPnXq1NKlS6N9%20QM2aNbdt28Y2ZDcmzrWg25mI2zYDscf5+PHj0SyOMI0UHTt2PPvss2vXri2/Uf++++67+uqrWcKd%20X375pVatWr/++usPP/zAso6FX6t3e/QwGkyca0G3MxG3bQZij3O0iRuNGjViSikefvhhEi644IIr%20r7wSQpkyZZo3b75w4cKdO3ciuX///scee+yzzz5DlF5yySVdu3b9/vvv9+zZ88gjj/znP/9ZtGjR%20xIkT582bl7JxBHEO/VGjRtHXpitWrPjpp5+uX78eayIk27ZtSxeh6tatu3HjRuTjKNO5c+dvv/02%20yov5Js61oNuZiNs2A7HHed++fdEsjuzbt48pHTkycuTIfv363XvvvV999RWSBw4c6N69++HDh9es%20WXPPPfeQzvDhw++///4NGzbA5uDBgxG3tAmLgp49eyI+n3jiCZqo165dC53Jkyf36dNn69atkCtX%20roz8Xr16TZ8+HcGMHCSx15QpUw4dOtS7d28cZebPn+/5sGC4mDgPguetNY72c3JyChUqxBICAZyx%207zJr1ixMICtWrNixY8e4ceOqVKnCNiQUt/V5u3bt/vrXv6J9QP78+d966y22IbuJOs6pAwiWpcDL%20qS8W0C5csGDJxDggTTvHHXccfpleLrQJ52/0VxkEtsEdya01sMCkXAoXLpwq4SjTpk1juSmQw6Rc%20GqQ+WUP5XBARc3Aq+P7777PEsbj9kZYA3OLc4EjezOc8ilJjWNUgol0Sfo527J8fok8UuRWKfPmt%20Jhbcbq0R7c+ZMwdJC+JVGSSZdCzwxK2+4i44bDHJxsGDB5mUOEyc+yLqOLdEkdsQd4TukHHbxS2f%20ro4A/lki4KhMd6rhaAIoRwXHW2u4fQgSFi9eLCpboDtkHI874i5mPrdzzTXXoIksL+HJZrJifT5j%20xowzzjiDJVLo9s2X/QDO2HdBRzZv3tysz/ft24fGERFPtS6++GISunXrtm7dui+++OK6665D8qab%20bqJZ5MCBAyeddBK2PvDAA7feeityrrjiCgqSq6666vDhwxBgEPuOGjUK8vPPP48zxJUrV9522204%20ccNcgsEGIx999NHdd989YcIEHILpkj4H55iffPIJBBzBf/jhh23btmEv6Pzxxx9t2rSZPn16Tk7O%20gw8+CAUYX7Zs2Y8//khT1KJFi+Dk+PHjX3/9dbKJEnv06PHGG29ABsiEh3379n3iiSeoCE5WxLkd%203b7pdibits1AHOP86quvRsvYKV68OCkgaEm49957EWOrV6+GsGbNGoRljRo1aNMll1yC34cffhib%20du7cuWvXrgsuuKBOnTrIRIzhF3H+yy+/tGvXbtOmTQi5r7/+Gmde//73v7EJgTp8+PA9e/Z0794d%20q7nRo0fXrl17+fLl0MFWgKPw9u3by5cvTxNPvXr19u7dO2XKFHpgDvkIWpgdNmwYkl27doWTiHN4%20giRsQnnMmDENGzacO3cunEdIb968+dlnn8VWqtrHH39ML/Cky/4cE+da0O1MxG2bgWTO+hyzLkWa%20HEQpk/ICE+da0O1MxG2bgZjrcL4wca6F9J3BYvvEE08sW7YsVmssSyDits1ALHH+wQcf0GVUrFfp%201pSKFSvil75C0aRJE/om/M0330zravD222/jDPyll17Cahyn7sjByhknxlhvw8I333yDHKzesYbf%20sGHD/Pnz+Yr32muvnTZtWvv27fft29e0aVPk3HnnnfyPemzFL39xBaCVP37hElYBWHJTfpSYONdC%20YGcmT57s+MblChUqMClFxG2bgVjifPr06Y899hhWp0uWLMHi+fvvvz/nnHOQj8Pl9ddfD+H8889H%20hGPNPG/ePLo9btCgQfjF2hu/rVq1uuyyyyBMnTqV1udXXnllrVq1IGDJjUXyokWLIAPqiGrVqs2Y%20MQOrd6zbsbrGqvvXX389dOgQNl111VX4pRfXEEOHDiWB7oSFWX6ZIDIijfNOKUjG0bdM6nlsSnrC%20lbGj4iPZyKF/yOz/kznGCc903GpHou+Yo+LMunXrmGRD/JfIbj/byMPz9gMHDvALexI6d+7MpAwg%206jjHL+XTWRbJ6qNWoum2yTHfTRlBaI9DCW431QR2hv7LcYRPC8DNfvZg1ue+yIM4BwhyinOKE54v%20gUcUBNrXgr04fjMZBMspgGOc8CIUo4gfEez66TiDeeCVV15hiRSlS5dmUi6KHiYYE+e+MOtzLeh2%20JuK2zUDscb579+7tNrByxmk208hiTJxrQbczEbdtBuI4n9NtZCIDBw5kUopq1apt2rRJfGP3wYMH%20//Of/7BE6jnTN998kyVSx44777yTJVLQtTSR+vXrM8kLfh531llnkUDQJUNP3L5gjcPZnDlz+GNU%20y5cvt7/TwsS5FnQ7E3HbZiBu5+38yaWvv/568+bNJHP279+fk5Nz7rnntmvXDsm5c+du3LgRu8yb%20N2/9+vVNmjRB5vTp03/77bc33niDovGOO+5A5CxZsoT+QsPvr7/+it2ffPJJen0Fj/PixYvD1BNP%20PEF/6fH8e+65ByvT119/fcuWLfv27YNlUmjevPnll18OAUefUaNGYdPvv/8+f/585OD3mmuugbWV%20K1fy++HwCzdwnHr22WexifwB5AbpEPz2Xo6Jcy1klDOJRLI+f/vtt2+++WaWyDLc/sAyca4F0T5O%20/PinQjjiy8lMnAfAXIfzhYlzLXD79FCBIzNmzCDBxHkA5HH+1FNP0SkxgTPb+++/H0LXrl3pPhb6%20NlP2EHWcpzOmaV83C5Li7JsclbGIor/KFO/eISOrUlAOh9s3ca4JS5wj+c033/C71gDFM1i3bt3q%201aux+p00adKhQ4ewDsfpVcOGDelOuCwhb+Kc/qmGTKS2KCFRdtyECHTMd7MDx/z64/jnv2ikS5cu%205rw9dOzzuePl6B07dmzYsIElsphI45yiiN+OApC0q9nBBAs1mmzddrFkIvyQQ3fUpPY4ZqslCbgO%20lUWyBK5TpkwZCJZop02K+FI2EGZ97guzPteCiXPdmDj3hYlzLZg4142Jc1/ojXODIqzJDMqEFeeT%20Jk1iUoqPPvqIBHolG90bR/euAPqgusirr77KJDXohVDvvfcefvmT8OLlQwmo8m+//cYSPjHzuRZM%206Opmz549THKhXr16d999N0ukuOCCC55//vlVq1Zh3wceeID+Cjn//POffvrpdevWXXTRRUiWKVOm%20ZcuWSObPnx/Jq6++GtH4+uuvI54hlC5d+rXXXnviiSeeeeaZt95666mnnhJfw9a1a9caNWosXLiw%20Zs2aMMJyUy+Woi89tWjR4qabbvr555/btGlz6NChk08+GZkdOnSoXr06hFatWtWpU4e/faBBgwZd%20unSpVavW8OHDb7755tGjRz/55JMTJkxo27at+Irh5557bsyYMR07dqSb+UqWLLl7925ooiBSIEyc%20B0R+94uJc91I4hwh9N///vfAgQM//fTTueeey19i/89//nP79u3VqlVDGN+bApkI7M2bN2P2RnBi%209r744osR1Vu3bj377LOxtXbt2hs2bHjhhRcQwCgR3dqwYUMYQRhfd911v//+u9jRl19++fr161Eu%204nPOnDn0XSeASD58+DDOFM4666xly5YtXrz4mmuugdqZZ565YsUKHCwQ3jgW4IiDvXbt2kV7wY3l%20y5fTPa1Vq1bFYQjj7bbbbrvwwgsx//NKlS1bFo7Vr18fxx1M+H/961/ffvvtDz74wHKiYeI8CJ7/%20ikdc9yzEcz7PHpYsWXLeeef9+eefLO1E1HHu9w9qEdrR7T0QjmYp0/68upsPyFe5ScbEeZ5jrsP5%20Ig/inATxvQskeIJ9EeRucehYHIxD335ocItD+vOcJaTI734xca4be5yLn6agV0E2bdoUZ7lXXHEF%20ToCz/G4Zc96uBRPnurHH+TnnnINlMF3Huuqqq9asWUP3I/fp0we/l1xyyd13300fVMlCTJxrwcS5%20btzO27dt28Ykg4CJcy2YONeNWZ/7wsS5IZaYOPeFiXNDLFGM8wMHDmDFnrXLco6Jc+/3vRgyEHmc%20P/fcc1u2bGGJXHr27MmkFH/88QcfBgsWLGjTpg3J4IUXXmBSirJlyzLJHbqdbsKECZQkduzYsXHj%20RpbIU6KOc3pc9OUULEsBKGMvMsgFC5ZM8fFSLnB4UuU9EIYMRBLn48aNY5INSxwiedlll3300Uf7%209u27/fbbMRgaN26M4z59I+2dd96hrxeXL19+xIgR2AQ+/PDDs846i94VvXPnTlioVq0a5Bo1auBI%20cc0119x444133XUXcrDv559/vmHDhpkzZ/7++++PPPIIMtevX49MCB07dmzUqBHd7h4Bkca5Y449%200w1Eu+TPdkc7iHbHXbiyifOYIolzxCe/LdTCkCFDmJRlRBrnYsg1aNCAJyXRK0J3yLgdFxzz6azB%20vknM8XzfiyEDkZ+3r1y5cvz48SyRC38RchZi1ueGWKJ4Hc5AmDg3xBIT574wcW6IJSbOfWHi3BBL%20TJz7Ivlx3rx58xNPPLFs2bI5OTksy8R5/DFx7ovExvnkyZP5K3hEKlSogF8T53HHxLkvoo7zTp06%208XeqU44iZVJPkkPA7vbvnwCLwXXr1jHJRqlSpUycG7IEHBCXpfjxxx9ZlhrB4xwhms73DIBE37Lp%201ltvZZKNoUOHmjg3ZAn8/t958+aRoIhqhDjGEr0ThgT8qscbfxENBPt7oIDdVOfOnV955RWWSFG6%20dGkSTJwbsoQNGzZsTPHrr7+yLDXSinN9+CrOxLnBIMfEucGQfEycGwzJJwlxbjAY5Jg4NxiSj4lz%20gyH5BIxzeicMyatWrVJ85lyEdneLZxPnBkOIqIaTPc7xS5k8zrmO5f4ZNyTBbOLcYAgR1XCyBB6S%20FNsIeJrbSYELEuhlb/xI4ajvmGkwGIKhGk4RB56Jc4MhREycGwzJx4STwZB8TJwbDMnHxLnBkHxM%20nBsMycfEucGQfEycGwzJx8S5wZBwTJAbDAnHBLnBkHBMkBsMCccEucGQcEyQGwwJxwS5wZBw9AZ5%20Zj5hZp57cyTbOsuv5fgOG71+Z9u4iTXZ1ll+Lcd32Oj1O9vGTazJts7yazm+w0av39k2bmJNtnWW%20X8vxHTZ6/c62cRNrsq2z/FqO77DR63e2jZtYk22d5ddyfIeNXr/FdilTpoyYXLBgAZKrVq1iaSn0%20rthOKViWO57KohuQeZLL/HvMdkiHYFkuoGrQGTx4MGRyiX5pqxvw+ajpFI6fghZheimgTGW54atZ%20OGKm5PX7vtwGUIM/LJFbEZY4FjGfSqGRQ/lccASb0CZiQSKWHVOWjkJJe2PyTbFDr9+WdkEn8RbH%20iHEbbRbQ3PxYIAk/QkXZ4hXU1PsP/isemAgeGOSMZ0HUJihCsXEAaboNZSJAsxAwzneUBzl+1d2G%20t7w47CWxbPGKktiFglByQOE7KgY571nKN0Guir0dxRwaEGhNZPKRZMdihDrYrcXt+cixZFqSGPRw%20TOxUyUilocC9tRu3Qwo8yIFkTBO0CwmAF+cI91biNjdIIImKWI6zFh1AW7m3vtzGvnaDHJQOKESh%20xi1DFpMASSalwF4kUL6kytAU96UxIx4U7JapnSnfPiwt+jFCr9/2dgRoaOpF6iFqd8kAshhBu6sc%20vwkeumK+RYfCT3RAPnTgAPU9ZJgC4gHCEeiIMzkZSW1xgHQIUXaDeytx224HPuBX3MWuQ/Xi+ZI+%20Ana33U4ZAJVOamgKskz6lsa0ewU1uE3KkmYksDsZpF/RJYtl3puUtNQdiHK80Ou3pV1411KUoqvQ%20SfbWt0BqJEMNsiTILcp8EEt6ixfN8/ledsT4pOqoAE0ax1SEZEds4ltRkMVVR7i3ErctzYJfKkXc%20xVIWdwOtTbIkyI86bXNb0qekjK4nm9wydrSUYm8B5GBHlEIjxw3RJn7tw8xiGS7xJgKkL+rYPYkL%20ev0W2wWNLjY3ZIBmxTgjIaXlDOkAyFxwQ1QGokyISTiDpHjU4H46ctSWsNWStCBupeFFASA/E+GQ%20snwoc02SLREiYm8WuOQW5FQ0hSLUSMavqC+CTRzuNn7d4hybyFWYJcuAeyhWGUkm5cK3SioLyAHa%20nQSqCG0FogxSKv/LsQ8DSzJG6PU7M9slvr2llTxvFu6APMjDwq/l+A4bvX5nZrvEt7e0km2d5ddy%20fIeNXr+zbdzEmmzrLL+W4zts9PqdbeMm1mRbZ/m1HN9ho9fvbBs3sSbbOsuv5fgOG1W/UUODIcth%20wRA39Pqdme0S397SSrZ1ll/L8R02ev1O5Lg544wzYIE46aST3n33XbYh5qA6TMok9Hnl13Jmto8K%20ev0OsV2mTp2KiIJB4rTTTmMbbHgGIfKZJKAYuoUKFWJKAi1btmSbbai7HQHyOiKTSQK+/Ndx+IMp%20JoWNm+UqVaqMGzdux44dK1asaNasGa+FPk90o9fvsNqlbdu2MGUhf/78bLOAShAih0m5KIbu3/72%20N7bNxvr165mSgLrbEeBZRySZlIsv/0888USmISA5/CkCI0wKG0fLt9xyC5Ny2b17d5cuXSDo80Q3%20ev2Wt0v79u2ZJAXxAzuOIOqYUgrFIESSSSnUQ5flOlG5cmWmlIu62xGgUkfIJBC+/FdvQ/Ddd9+x%20bTaOO+44ppQLMpl0LIqDR4Ld8qmnnsqkY3n//fepNVg6buj1W9Iu+fLlw9alS5eytDtVq1aFphtM%20KQXLckIMQiSZlIIUHLGELst1gSnlou52BLBSneB1hEwC4ct/luuE/fAH6tatyySBESNGMEkAFpgk%20gGGDfAwhlg6E3fKMGTOYZOPSSy919CQWBPebnj3ALz1g4PjQhVu7dO3aFZuAyrkrju6k7AhTSsGy%20XGBKNq9oqxtMKQXLcqJSpUpMKRd1ty0Mzn02i2QS3IAm6aD96TEVR1ipLnAdEghf/rNcF5jSsdxw%20ww1MymXAgAFMEnDcvWjRomS5V69eLMsFvrv9aRa+ifPnn38yyUaqNOeKZD7B/eYPGKH5MLzUg3zD%20hg3UZAQ6jG1wAfHDVJ1gSilYlhNiECLJpBSk4IgldH2dlKq7bQdtiyblLSyHrOFQS0lHqFBHeB0h%20k0D48p/lOmFpQ87ChQsxEljiyJFixYox6VhggUm5FClShCwTohFHoOPYOMhnUi5mJrdCQ7BT6o1O%209HQhz+Q4tgu6E/kigwYNYtucUF8cKgYhkkxK4St0cerBtgnYJyWg7rYjUGOSAp7KKnWETALhy39f%20bcipVq0aCRMnTiTBDiwwKUW/fv3ILKdgwYJsmwuYfhxPiLAvk3Ixa3IrYjzzmdzSEPZ2KVWqFDLt%207N69m2k40a5dO6Yn4HiqrxKEyGFSLuqhC0qWLMk0UsvCqVOnsg021N22QDOP/QzTEXQE9D1P7D3r%20iCSTcvHlv6825NDV7G7dulHSDowwKXWhm8xawKBiGk7QY+osIeCY6Xh1/c4774TgqB8LgvttCXIa%20ZJbzIku7jB49GjmOFC5cmCm58O6774rTBSKNbbDhGYTIZ5KAeuj6Qt1tDm9DCG4vaeDwXoDguGIS%20kdcRmUwS8OV/gDbEGfIZZ5zBEk7AFJOczgE5GFpM6Vj4gRI6JHDsOYTlf/JZs2ZRvpt+5qPX78xs%20l/j2llbyqlnkJ3H6vPJrOb7DRq/fmdku8e0trWRbZ/m1HN9ho9fvbBs3sSbbOsuv5fgOG71+Z9u4%20iTXZ1ll+Lcd32Oj1O9vGTazJts7yazm+w0av39k2bmJNtnWWX8vxHTZ6/c62caMbrZ5nW2fFdxj4%20RW89s23c6Ear59nWWfEdBn7RW88Ej5tDhw4xKUK0tqebca019TSur8qZOTh1oLeeIbbj1PBesYLd%20mZQGRYoUycnJYYmoCMVzNxyNo46FChViCQ14NmM6VXZ7xwuhtTEzCr31DKsdw33FCvZlUlCqV69O%20PrC0C6TjyHfffceU/IAdmaQBR+MFCxZEPurL0qGi0ozyrRIk73ghAluOHXrrGUo7Bnici212gl5L%20wvRS+HpRCZg2bRrb/Je/nHDCCSzXBccXIdSrV49Jx+LpCQTSDAaZcsTeLKBw4cK0FaDWLNcJv20I%20FJsRW5nk5T9TSiF/noxk7EVC4gleT3q8FL8s7UQo7RjsFSuS6LLvpf6iEnD88cdT0USdOnXYBifs%20L0KQP5gl9wTFkUCQA4DLlC9BvVnq169PNgnUmm1wwVcbAsVmxCYmpZD4LyJ/MpwEi+UEE7yeKm0U%20SjsGe8WKJLoc97LHnuOLSixDk5gzZw7b7IT4OoQNGzYsXLiQJVyQeIKySOAMTgHB83k1QrFZUKNU%20zY4hn9frlhTbEKg3I/KZlELiv4j8HS8WIfEEr2cD4WvP9Dy5vdVCacfAr1hxiy7HvVReVNKqVSsq%201EKBAgWYhgv8pQg4KyFBgsQTlMUkAWQqPnlOqDQLanS0YjaaNGnCNJxQaUPgqxmRz6Rc3PwXMTO5%20SLr1REshwinIkaRZhRNKOwZYk3Mcows7MulY5C8qWbRoERXqBtNzgl6KYL8U5IabJ46luL0UQYK8%20WY5Wxh20A6k54vmyF7/NaM8Bjv6LmDW5SPB68vNDCFqDHAR+xYpjdGFfJtnwfFFJYE4//XTJ9GLH%200RO752h5/KLxLS0vx2+z+CLcNnT0ytF/C/at/B0vRFj1zXyC15POz6mlSCBoK2FJpkOAV6wQ9ujC%207kyy4fmiksDIX41gx9ETi+epljia83LqhbkkK+KrWXwRbhu6eaVy0HR7xwsRVn0zH731zIR2tEeX%203Cu/0agPv577ImLjgXHzKv0iMmFwRoPeemZmO8a3d7V6nm2dFd9h4Be99cy2caMbrZ5nW2fFdxj4%20RW89s23c6Ear59nWWfEdBn7RW89sGze60ep5tnVWfIeBX1TriRYxGBIGG9xJR289M7Md49u76p4H%20qKPprKSitwXNuAkXdc8D1NF0VlLR24Jm3ISLuucB6mg6K6nobUEzbvyybNkyuOcIPY3H9LyQaLo9%20oaVuPEoy06t4obcFzbgJgOTBbHXPJZpub1yKS2fJX+pksKO3X+MybjINtwez1T1305S8ccltl7zF%204pXjYyfiS50MdtLqV/puLu8Gy3eLgdu44fnqA8vXLp06deLf9FXxCjmkZld2xJcz4pP23Cs5bg9m%20O3puEQhHx+RvXEImkwR4puPWCBDLVXmA1GAnrZ6jDli1ahXFhn0Eu40M7AJlxRFPIFQQuupvRyBN%20/jysiKNXlEkPzHri15nBgwejidxawxHHB7PtFtw8cSxL/sYl5DBJwG9NQ0f0SvLYGX8VhMGOj2Fn%20h794iHqCnm0WcRw3BPay68vxdVAAbqX7zXckLGck2B/MdjTi6Ild0/ONS0gy6Vj81jRcRK9UXupk%20sJNu0yBWMUfhSO84B0qaHvp+OwYHBfVdcACi8wWWFnA0girQfMvSXvhyhg5nfutrfzDb0YKjJ5Yc%20lTcuIcmkY/FV09ARizYzeTDS7TzqA0SsejgB/hoT9dHDw09lF24fApc5dgv8dBQCBaQcX87AINnE%20r9/z3r179zIphb04N0/E5OLFi5GUQGpcEPFVUx2I5Zo1eTD09lxejQw5memVCuqeB6hjLDrL86VO%20Bjt6+zUW4yZGqHseoI5x6Sz5S50MdvT2a1zGTVxQ9zxAHU1nJRW9LWjGTbioex6gjqazkoreFjTj%20JlzUPQ9QR9NZSUVvC5pxEy7qngeoo+mspKK3Bc24CRd1zwPU0XRWUtHbgmbchIu65wHqaDorqeht%20QTNuwkXd8wB1NJ2VVPS2YOzGjeTuaAuHDh1iUoS4eW53JkDLx66zDIrobcHoe6hRo0ZMOpYhQ4Yw%20SeqV2wsV7ChqTp069aSTTkKJxGmnncY2BAIWmCQANwoVKsQSuThqygmwSzoovvshYq8Sid4WjL6H%20Fi9evHr1apbIpWDBgkxK4eaV5IUKFhQ127ZtS2oiKh9jdQO7M0kAtUM+XGLpFI6acgLsEhj1dz9E%206VVSCdKCZcqUEZueniejZzAscDX5q8tIJyxq1arFpBRjx45lUi4olEkC8hcqiChqBvus+svC90m5%20wLEkQeHChUkNwDGW66RJTwRTPhdEHHMAPeRDAttwLKTmCPqdKQn4es4ERphkCErAFqQnTElGzCNJ%20sgWxhySvLgud1q1bM+nIkb59+zIpF8dxI3+hgoiiZtWqVZmGE0zJBVKwq1ly6tevf9RWLnCMbXCp%20I38MznGrJPPoY3TSh/Mc+7FevXpMOhZfT4w6emXwRcAWpAmHJVIxj98GDRogU8wXZeD26rLQmT17%209tatWyGUKFGCckQsXgHPFypw1DXp5apuMCUX0LyOD6WKO6JQMiWSL18+2gqZBAvoKbfHXd12QT4/%20oLth70d7X3N8vfvBzSuDOgFbEL0OcKJOI4aCnH7FMWTpIbdXl+mgYsWKU6dOZYljsXil8kIFQl0T%20VKpUiW12gim546gjZqLQlCUrTZo0wVYIpGZB8q4OSb7bmZqI2JvoZfQ1S9gwM3nEBGxBOrSjAzBo%20IIgz+dHNudh7yPHVZZq44447mHQsoleKL1QA6ppEsDU5QatfaFKSw3NSZlxZtGgRfknTAvWX52kC%20h/csJeXwPsVShQRHzJo8YoK0IIYINT0fiwBrNhJASusoosyxv7osYhy90kG7du1S7XEM8qvrdImL%20H0MB5ROWpAS7Jh2CaWl91K5NwTGHMqnHPedz6lP7lXM76u9+IAcM6RBaC9IUIQrAsYfsry6LmCjH%20zbvvvot5GyUSJUuWZBsCAQtM8kJdkxNgFzunn3665GxcRPHdD6F4leXobUG3HrK8uixi4jtu1D0P%20UMdQmiX0no1vZ2UOelswM3sovuNG3fMAdTSdlVT0tqAZN+Gi7nmAOprOSip6W9CMm3BR9zxAHU1n%20JRUfg8ZgyBPYEDQERW8LZmYPxXfcqHseoI4mnJKK3n41QR4uJsgNAdDbrybIwyVjg3zWrFnNmjVb%20sWLFjh07xo0bV6VKFbbBkAHoHe4myMMlM4P8zjvv3L17N0vkonLfmyEa9A53GjdRPkyuAsplUoS0%20b9+eScrYdxE9T7WfM9TgTE+ZALuA9evXv//++yxxLG73qBsiRu9w5+MmyofJPQk2mtMhX758KHTp%200qUsrQCUsQt/dJSweC55ijtAHYM1i+SbwYr3txp0E3y400MUq1atkjy3II6bNB8m56ZUxiJc4g9O%20kZ8idgvIITW7siO+nOnatSvUgK8XPxUtWpT26tWrF8uyFSd5ituiSSCTnixwfMeL2y4WwYLkXOzg%20wYNMMuQpzj2njlvfE+LWNB8mx+hE6Do+I+kIaToegCSjWXy6RoK6M6gyLHMQumyDlCJFirAdUvB2%20g0wCx+0pbrsmQfmOr3lx3MWzpmYmz3ych4IifFjwJ8kto8EybtJ8mFzxqWaO46gFfvMdUXQGQQiz%20IoMGDWLbXOjXrx9TzYW/iBIyCSKOT3E7ahJuEeu2i7ymZk2e+fgY1hZwyiee3NKcKQ9ykM7D5PTI%20Okt4Afeg7zhAHY3Ac0uN5Kg4U6pUKejYsV+L5mATUzoWmMJWCKQm4vgUt6MmQD56yvGExW0Xz5p2%206dLFXF3PZDyGqQQezxRIikEe+GFyHn7yAUfwNScELnPsFrjbEBxPZS2oODN69GhsdaRw4cJMyYZ9%205ueQQaZ3LPanuB01eaZ8q4his7/77rvNmzc3/5NnJrKeSx/HkZG3D5MD+XjNZNw8tzdpgDrGt1kM%20cvT2a2aOm+QFuR0T5AaO3n41QR4uJsgNAdDbrybIw8UEuSEAevvVBHm4mCA3BEBvv5ogDxcT5IYA%206O1XE+ThYoLcEAC9/WqCPFxMkBsCoLdfTZCHiwlyQwD09qsJ8nCJMsjNy14Sg97hboI8XCILcvOy%20lyShd7jTuInmzTDqpSCHSRmGZxUgkKYn6pocvot5sCxhpDvcxSdS6BkVET5u0nwzDOwAetqEBLbh%20WBRLgQUmpSCblMkFCaST8kXmDIf0FyxY0CD1QK78kXV5FbA7CUTKsLMnSDIpF/ROSt21mjzHPCKe%20MKw97RfxuUVJkINQ3gyzKgXlOKJSin18A8p03GRH0RkO6Ss+xyqpgt09N08cKwIdOig7buWZ5mUv%20CcOhs9WhqYMPDnmQp/lmGABrnnGiUorjEEddLM/JylFxRgT6ljh0Q1IFR88dPXHUBOgjt2ryXcxM%20njCch4IiFNV80MiDHKT5ZhhYsxdhx7MUxwBABLoFhiOKznCgr35QcKuCo4eOnrjVBaddbpt4vlmT%20Jwwfw9oCP0tHeNCUrjLUAr8ZhowrvnRJXorjKKcIdAsAC76cAZKTZDccq2C34OaJW1nUa46TubiL%20edlLkvAx7CxgTPDYJhm/ltFjH2rB3gwDO2QK9iHYjyYW5KWQKQ75T6P/aDEu4cHhOorOcH0SFOdz%20xyqQHQ4ZhGD3hPJF6LIfLRmO7mZTsOSYl70kBmtPh4t9JIFo3gwjKcXRqwwknfe9BKhjXJrF4Be9%20/ZqZ4ya+o9kEuSEAevvVBHm4mCA3BEBvv5ogDxcT5IYA6O1XE+ThYoLcEAAfg8ZgEGEjw5Dx6O2q%20zBwK8R2g6p4HqKOJ26Sit19NkIeLCXJDAPT2q2XcnHHGGcghTjrppHfffZdtkBJsLwmww6S4oe65%20o2aVKlXGjRu3Y8eOFStWNGvWzNKS8W0Wgxy9/SqOm0KFCiFpoWXLlmyzC8H2kgMLTIob6p7bNe03%20pe7evbtLly4sEedmMcjR26983Pztb3+D7Mj69etJx06wvTzB7kzySTpvv2jfvj2T0gAFccENOClq%20Em4Plrz//vu8JS27GBKD3n7l4+bo6HOhcuXKpGOHaTgh2csT7M4k/wR7+0W+fPlQ6NKlS1k6KKLn%20joXWq1ePBEsdJY+I8gdL02kWQyYTvF/5mJAMDlFHAunYYZtdYEpOdOrUiT+YpfKsNXJITeXpEb9v%20v+jatWvK37/kz5+fZUkpk/pSOoQFCxZYHkGHESY5FSo6JmqCP//8k0k2uKZlF0NiCNivGH80EIHk%20XQjiAHKjUqVKpGOHaTgh2Yug5+EcHxHD7kwSoEz+/KwEX2+/gGbKX0bRokXZBinQxK/n4UksGgXB%20MZawaZqZPJsJ2K8IHks80BCxDBSezJM1OdSYdCx+8+2ov/0CcXjUXYFBgwaxbVKgySQBeyZ3oGrV%20qiQQFk2zJs9mAvYrJhnLPENDxDJQxCROVpG0YD/1tRBsL4ATDZxiOL7XARaYJEAnyfbJ0w2Vt1+U%20KlWKHLZgfx+DBbgNT/i5Egf7MikXcsB+5dyu6Xh1/c4772QJl2YxJIDg/crHBAn8V4wTy7gpWbIk%20coh8+fJNnTqVbZASYC8eHhBUQoXO7UmQrD5EPN9+MXr0aPLZTuHChZmSE/zABMHxdMnC6aefbj8b%20d9S0/E8+a9YstiGF4y6GBKC3XzNz3ITlVTRvvxBx9NzRjQB1NEGeVPT2a7KDPHrUPTdBbuDo7VcT%205OFigtwQAL39aoI8XEyQGwKgt19NkIeLCXJDAPT2qwnycElkkDdt2rR///4PGNR46KGH/H62wMeg%20MSQe1tnR8p///IdJBjXEuxtU0NuveTVu5GSmVyqoex6jOpog94sJcm9MkGcUJsj9YoLcGxPkGYUl%20yB955JEyZcp8//33kDt06FCxYsVatWrVr1//rrvuOu2003bu3NmrV6+LL764XLlyl1xyyQUXXJCT%20k/Ovf/1rz54927Zto8zy5cvXrl37pptuIoNg1KhRTEoE2R7kjRo1YtKxDBkyhEkJCvJZs2Y1a9bM%208XNl8Q1ygJBm0pEjffr0wS/d7Y+Y37t379133w25TZs2+P3mm2/w++qrr9ITOAMHDsRv586d8fvb%20b781bdoUwtChQxH2EMCNN95IQqzJ9iBfvHjx6tWrWSKXggULMilFMoIcPS358GhigrxUqVLXXXfd%205s2bKfn//t//O3ToEIR27dpdc801559/PuSXXnoJv9WrV3/ssccgUJADTOz4nTJlyueff758+XLK%20TADmdP0Izu6YlGLs2LFMyiUBQb7e6xPisQ5yekTnww8/xO/999+P3x9++OHohiNH+BuBaCY/fPjw%20jBkzMJNDXrJkCb1l4I477sDvzJkzH3/88RdeeOGjjz76+OOPa9SogcxkEF2Q09NdknczALehxvPV%20x6KvXVq3bs2kI0f69u3LpFzsFpBDD88pPmrqy5kFwnf/HR99tUAPvULAjm5vhuFverBDT6SpOJYh%20WIL8lVdeQZd17959wIABTz/9NE7XIdMUvWbNmvvuu2/OnDk4henZsyfyceq+ffv2Hj16/PTTT1B4%209913R48eTbug9aAGYevWrRBoR2imCok3Uc/k/CFNR9yGGj3prTLiOegzHErkxXFmz56NroVQokQJ%20yhFx9IoyLY92uuHLGYCgxeFDPfBI037E4RYk7408ePAgftXLynPsM7lBTp4FueOglww16Cs+uc3x%20dVCoWLGi25Pnbl75CgxfzgC/UeeozzMTPJMbPMnLmdxXkGMy9DsQcVDwtQutzew4GoHzNN+ytBe+%20nKHDmbo+jiDwRPK6i2SvyQ1y4hHkfPiqj0UefukPX7sF7jkElfMLX87AINnEr72J7PBzBAiW5YNY%20XJcuXZJ6dd0gJ+ogl5OZQy1GAWDB4vm7777bvHnz5P1PbpBjgtybxAS5BBPkCcYEuTcmyDMKtyA/%20dOhQ3bp1jzvuONSlWLFijzzyCNuQ9Zgg98YEeUbhGOS//fYbqmDB8Q/RLMQEuTeZ6ZUK6p7HqI6O%20Qe74vn0gfjcSB4JSpUpdeumlp5122pYtW1iujZycnKVLl77yyiss7U7lypV37Njh9lb/Xbt20dem%20Hn/88fHjx1NmnmCC3JvM9EoFdc9jVEd7kH/yySfw35G//vWvTClFkyZNSECc47ddu3b0ibibb775%2066+/Tm05ekPUbbfdNm7cuGbNmiHZsmXLd955B8K11167c+fOSZMmzZ8/P6V49C53BPmwYcMgP/fc%20cw8++ODnn3/ep0+fV199dfr06ZMnT0b+woULH3jggZdeeglGmjdvjhwYnDt37tH9o8IEuTeZ6ZUK%208fVcgj3IEWBHA9oFppSCB/ntt9/+4osvIkQ/+uijJUuWINQXLVpEmygUR48ejdjYtGlT7969p06d%20evXVVyOkcSKAeZsfDijIr7rqqr179y5OsXbtWvrPAgGPHSHA8vbt2ydMmPDwww8/9NBDf/zxR7du%203d5+++2UgYgwQe5NZnqlQnw9l2APckySR6PZBaaUggIYFCpU6M033/zll1++/fbb77//fuPGjfzj%20cC1atMAvpnEobNiwAWFcvnz5K664Apk4h58zZ84jjzxCdxy88cYbEBo3bkxfjxSDHJGMCRwCQn3b%20tm0jR47EMuGLL75AkP/666/in5cRYILcm8z0SoX4ei7BcU1+NJqduOiii5jGkSOYURF4OJ2mJ9XA%204MGDp02btmfPnjFjxvD7iPr3749TA3oibdSoUTNnzqTzc4QrVvI4IeefoES0I84xaeNgAblt27Zr%201qyZPXv2U089hZiHHZwm4ACEORzHEfy+/PLLY8eOnTVrltvdh5owQe5NKF5Jvvitj8xszzRxDHLE%204dGYPpb8+fNH2ezPPvssJn+WyCRMkHtj8UrlZTJ2ihQpkpOTwxJhg9M/8cuE7777LuVnZnumiWOQ%20A5x4FyhQ4Ghw/+Uv//d//1e7du3Dhw+zbdmNCXJvLF5h6eX5MhkL1atXT409LbXr0KEDk3LBQrFL%20ly4QNJWYt7gFucGNSIOcBjpwe+4Cm5gkQLt06tQJSxoS2AZ3aBdH6I1/IqtSz4cByFwQsed4vkxG%20BKs+MgtOOOEElusOaWKJ2KBBAxLYBidOTT1DZgervvXr12N3lk4QJsj9El2Q88EqGXlum/jDXvIR%20LzJixAgmCdSrV49JNqhox6e+Hb2Sv0xG5Pjjj4cFTp06ddgGd6CGX/7smgT7l8Y5l156KdlJGCbI%20/RL16TofdhjBgwcPtgSVZFBik/15aQl0k4OI251JhOS5Tkev5C+T4VginJgzZw7b7A7U6LgmR3Jh%20icpiiQRhgtwvkQY5ApvPTlwQkQxKbHKcZiUUK1aMSUeO0D+ZLOGCW+lu+ZKXyRCtWrXCvnYKFCjA%20NNyBmmMTWTAzuZ0pU6a0bNmSJQzRr8lJoAU2ySJug5Lm8ABvgJo4cSIJ/FYHN+gI4uiAJFTcXiYD%20Fi9ejB0lMD0n6JxCrkOYNbmFvXv3plr3L/PmzWNZWU90QU5NTyDCSWDbcrHnAK5JF6J8zef0PUf+%20/hNHsM6HWbqelypKySt9cB9I8JzP7bXbvXs39SvZSRjyIC9cuDC1G6A3rhNNmjSh16qjufjNrXaG%20Dh161VVXsYQNHEFw+rZp06bPPvuMZR3Lb7/9RoLkzZkiotq2bdv4VLRr1649e/agCpDFd8iTwCEF%20T6Jek8tRdNoXp59+uuScVgUdXoWL5X/yWbNmUX7mex4ASZDTNMA55ZRT2IbU0+aTJk0i+c8//7zn%20nnv++9//7ty588cff2zYsCGiF/nXX3999erVoXnllVciH+cCdDrQtWtX/gfKxRdfjF96czuKw9Kg%20Q4cOv/76K3ZBDj3EjoMIHSmuu+66MWPGQCBwcodD9r59+wYMGEB/fNatW3f69OkYn7fffvv+/fsv%20u+yya665BhH+/PPPY+tZZ52F36effhq/jRs3pqLh5GuvvQahadOmWJFBAK+88gq9WB7WUB3K5CQ/%20yHFEZFJQdHgVDfH1XIJbkIt/VXJuvvlm2ioGOaBZ/a677nr00UcnTJhA08Dvv//+xhtvIIC/+uor%20BMbll1/+888/f/PNN08++SR9egVQpA0cOJDuicLh9euvv162bBndmIDM2267DQKiFxM+Vkxnn302%20kgT2/fTTT3H4+OijjzDnI/7pr5YHH3zwk08+2bJlS+3atZGsVasWWaMgR/R27NiR8leuXAk1FErH%20CP4FiAceeODGG2+E/4MGDcJKzXI5NvlBnj6Z6ZUK8fVcgmOQY/Y7GtNOfPDBB6RDX0qgz6FR7GEy%20v+SSS/744w8699m6deubb75JUyLCbPz48Zh4ETPiw+d0i8Tjjz9O32apVq0azp6+//57irprr72W%20BMyxH374IYKfHx0A5lvYxxGETrsg03MvCHIoL1++nE7XUTRONCDQJ9nat2/ftm1bCAhpHKfWrFmD%20gwX9g4vS8QtwbMJRDCcUzz333Ny5cy1v7DRB7k1meqVCfD2X4BjkI0eOHOICf55k0aJF/fv3//LL%20LxFgDz/8ME7FMSHPnDlz9OjR9OVD/D700EPfffcdpncImHWhj/wnnnjimWeegYCzQlijHWEEwYnF%20IPL79OkDOz/99BOVheSLL76IJQAmWPruEs6ikb906dL77rsPAmIShUKAnY0bN0J+6623YBAnBXTC%20D/cQq5Cx+Kecvn374hweOrBA33KDgHMQCADKMIXzkWHDhsGa5TqOCXJvTJBnFPILbxEjLvvdQEjT%20Z2ryCl1BjuFlyARYfySIjAryWGBmcm8SGSrxxQS5X0yQe2OCPKOQBPnll1+O33vuuQeL2127dlEm%201rQ4YSZZNzfccMOzzz5L8qFDh2rWrAlh06ZN/Bo7XVGLGBPk3kTsVU5OTrly5U488UT+riKDiD3I%20W7Zs+fnnn+/fv79Zs2Zbt25dtWrVl19+Sde6vvjii5EjR77++usbNmxo0qQJXxuPHj0aAbllyxZ6%202dOYMWMee+yxPXv2YMcbb7wROePGjaO/3wYOHEh/aIFHH330pZde+uGHH/r16zdx4sQFCxb8/vvv%201157LW1FKbAPUwhvyqlfvz5+b7/9dhQEy927d6f8iDFB7k2UXpUuXZpJKV555ZXOnTuzhCGFJch/%20/fVXTNSLFi2i/5zLlCnz888/I6IeeughJIcPH44pfdasWbQXXQwH//73v3E4mDFjxoABA/7444/B%20gwcjVn/55Zfnn3/+xRdf3Lhx44QJE3DU6N27N73XFXz77bcIb0QyZLoLZezYsdjrueeeo8+hP/zw%20w/h98803MXVDABTkOHZcccUVb7/9NoRq1arxO9giwwS5N5F5VaFCBSYJ7N27l17uayDsQY5wvfji%20i08++WQkzz333HXr1n3zzTf0GCLO1Xfu3Pnaa69ReJ9zzjlH90m9p3Hbtm2zZ8+GGqbZJUuWIBOz%20PWIYc/X69evpNYxDhw6lU26AeXvFihVvvfXW4cOH69ate+DAgaeeeqpp06a0Cb840ODo0LNnz5T6%20USjIAeb21atX051qOB2gzMgwQe5NNF5hPDHJxq233sokgy3IMVEPGTIEoQ4ZoxnTL6bWJ554om/f%20vphUx48fjzNzBBhC+q677qJdli9ffv/99+Ms6fHHH4cANcze0EcOfnv16oVpHMFM5wL33Xcf3fQK%20cES47rrrkIQCdvnqq69wgEChfBWAcleuXAkfYIROBOg2G5r/QdeuXaN/KVV0Qc5DhR4pc4wct3Di%20+erx5muXTp068ede7A+E2C0gh9Tsyo6oOFOyZEkm2Vi7di2TDNILbxEwaNAgz2eWd+/ezV+zlwlE%20F+Srcr/CT0Hu+IYGtxjAvghCHocq4AwKoev2Hgg7pEnPollw9Ioy6TzNExVnJEGO808mGfI6yONI%20pEFOY50HOZKWuJVMdNjR78Pkvg4KwK10v/mOeDojOV2n5xMMhAlyv0Qa5PjFWKfZkk9r4hmvJGxw%20RPAVVICfO6iAQw+dL7C0gKMR+I9dFE/XgYoz9ECCBXPhzYIJcr9EHeSAxjoFueJMTpM/UA9aHn4q%20u3D7ELjMsVvgRygIvF4S1J0xf6F5YoLcL9EFuQrqMRwlEXuVk5NTtmzZwoULm5thHDFB7hcT5N5k%20pldZiz3IDxw4sGPHju02LI9VZy0myL0xQZ5R2IN827Ztn3zyCUsI0OsfJCxevJhJKeg5bbBr164f%20fviBvnP43HPPUeZXX33F71clvvvuO/U/vbHygjIsb9y4cdmyZSz3yBEUxCRtmCD3xgR5RuF4uv74%20448zKRf+rgjiyy+/nDt37vXXXy8Gqnh3Gjj33HOZlOKmm25iUorevXvv37+fJVIMHDhQ/YOKH3/8%20MX7hBqAcsGnTJn6fjAT+0mE7tWvXfuedd/g7zqpXr45qkswxQe6NCfKMwm1NLs7bmNtnzpzJEil+%20+ukn+io4wrJ58+ZPPfUUYuORRx7B1Hreeed98cUXiNiyZcuOGjWqQ4cOrVu3xixN79um10IgTi66%206CIEedOmTf/1r38hB2rVqlXjQX7fffdVrlwZRrAvIo0yt2zZMnbsWJQyePDg0aNHd+nSZfXq1d9+%20+22lSpWw9brrruvXr99bb72FY83IkSOxL+01bNiwoUOHzp49+//9v/83YsSICRMmXHjhhS+++GK+%20fPlQYp8U/NYJOtFo3749JdeuXYsdSeaYIPfGBHlG4RbkWITzNyXzJ8M4dNcgggThgSCBjJik+Z+C%20/6GHHqJXrF1yySUbNmzAGTUF+cUXX4wAg4BAxVnACy+8cOqpp06bNg05OCJQkK9YsQLnCAhanIpj%20xqbnVYiCBQv+8ccfl112GWSUDjcwkw8YMGDfvn04DO3du/e9995r3LgxtvI/UHHQueGGG5544gkc%20dJDEwYve8XbmmWfiF6cbaIEpU6YcVT1yhN7raoI8XUyQZxRuQQ4efPBB/D799NP2s2jMhwinGTNm%20/Pzzz0WKFKGXpWIKxYluqVKlEHj/+Mc/zjnnnB07diAksMJfuHAhogt2zj777PXr1yNuMUVjCTB+%20/PgyZcrs3r0bU3fLli1xRgDjULv99tsR3lhgT58+/d5776W72desWYOpu0GDBoj/33//HQYXLVoE%20N7p27QqF0qVLz5kzp2bNmpdeeilOPXgoIsLhHoKcHoDDIeDuu++GJv29iiMRThD4m2dr1KjxwQcf%20oBY4viCJw5z93g0T5N6YIM8oJEEOWrVqRQ97ZRs4X7Af2ggT5N6k6ZXlywcZ9ehCHJEHOdbYTMoy%20sFphkg0T5N6k4xW9hVsEZ3r8TSOGAMiD3GDHBLk3gb06Vfo1QpYw+MQEuV9MkHsT2Cv6+I4j/CtW%20Br94Bvnf//73ffv2kYzF0dKlS7t16/bggw8OHToUi6bVq1dn26O70QU5QoXDsmw4bqJdOqW+dkwC%202+AO7ZJ62GQwCWyDE/R8GIDMBRFLDtmkTC444nYhBEj2MsixBPmUKVO6du2KSP7www8pZ8SIEfxd%20LnR/y9VXX3377be//fbbmzdvVn9wMDFEF+QLUrCEC25Dnz/s5WmBQ6awF+3oCemrP2pKmW4OE2Ym%2014F9Jq9atSr/kCuwBzm94xHH3A4dOrz++uvLli2z3xaWYPIsyBG39giRxAw2ySdkO9hF/bCNYwF/%20gNSCo1dwxk2fY9bkOrAH+bRp0+j/amJg6gNjdKM45vnff/+9V69eyH/iiSfwi/n8008/9XyFU5LI%20myCHgMgBlnNvx3AisMlxmpVgty/HrXTHfBwUJN5ybrnlFiblsnv3br+NbhCxBznmbcf3HPMHTrKc%20PAtyEiy4hQ3N4YhYxXNvQOGtflwgTUcHHDPpHEElzi3/k4snloYAWIJ86tSpNFFbwMm55JpIVhFd%20kCMexJCwJAl7DuCaiEMIKnHLd6FFgXw+xxGH66T28/AKmsih41RK3cFngz7sM7lBTnRBrkJmBowJ%2044zCBLlfTJB7Y4I8ozBB7hcT5N6YIM8oTJD7xQS5NybIMwoT5H4xQe6NCfKMwgS5X3QFOQLDoAJr%20L4MyYQX5L7/8wm+MA/weuMOHD3/xxRdff/01ZP4Clp9//pkEzk8//cTfrKbC999///vvv0Og/2VW%20rFiRyj56cw4JckaNGsUk/5iZ3BsTihkFfWbYjXXr1lF/tW/fnl6WQpkTJ07s16+feM/M5MmTKeqI%206667jkkpoCy+iZXeACUyadIkX18ap+PFgQMHevToQTnE9ddfzyR3Dh48aHmHpC9MkHtjgjyj+PHH%20H5nkwrZt204//fStW7ey9JEjiPbKlStDQKhgxA8aNOj555//4IMPNm3aVLhw4Q0bNrRo0aJDhw5P%20PfVU9erVn3jiCUy2w4YNg/7f/vY3/LZu3bpRo0YQLr30UnoHIyITu2zZsgUygP7YsWOfe+65v//9%2074MHDxbPNe6///7LLrvs888/x1RMt3j07Nnz7rvvXr58OdwYOXIkTCH+sS9/T9uhQ4eKFy/+0EMP%203Xrrrc2bN8expnHjxvS+t2effVZ8GQF2ueWWW7777rv69eu/8sorL7/88m233XbjjTdajggmyL1x%209Mq87yWv8AzyXbt2IdLE9xnu3LkTvxdddBHioVWrVpArVKgwZ84c5NMDCPxlifj97bff5s2bR0Fe%20rVo1HAu2b98+ffp0JN98881//etfn3zyCY4LM2bM4DP5+eeff+2113bq1Klp06ZIlitXjvJB+fLl%2033nnHRQN+eGHH8YvZvIffvhh7dq1//3vf5HEwQKHJAi0L1G1alXE9mOPPYYScSjBUeDkk09GfpEi%20Rfh72uktVxiECGkEOWr9xhtvYEd48umnn5IOYYLcG7tXjnekm/e9RIM8yH/99VeKpXPPPZffBL1o%200SLMcl9++eXSpUsRb1hLd+/eHZGzZs0ahDHCBsGD2RXhhMkWOogWnK4jtjFv47djx4733HMPFDD3%20YpbGyT8GwIMPPsiHwZAhQ7Bo79u3LyZ8nFpT0AIE6oQJE/7973+/8MILODTQO1thDUGIZT+OBfAE%20o6tPnz7YvWbNmrQXOPvss3E+gnzEMJYnw4cPv/DCCzHD4yBF75YFOBjBH5x3IMjPO+88HA5QEM5E%20sAbhT90SJsi9sXh1qnm2LE/xnMmzChxEPK//mSD3xuKVeUo8bzFBLlK3bl3M8yzhQqRBzqPF7SET%20tyDn+epHAV+7YDXFXbI/gm6xIHm2Sd09Q2BWr17NJIMaUc/kdJ3Db5BjcYVd3PZyZMGCBQhdz/c6%20cEiTnkWzYPHKzOR5i7kZxi9RB/ngwYMxVVK42kNaMhMi/NQfJid8HRSAW+mWfLMmz1vsQV6hQgX+%20ppe9e/eOGzfusssuW7ly5RtvvPHOO+8gc/z48bQ1O8mDNTlihsLPPm1Kghwzs2SrI4ovbyFw9KHz%20BZYWsBsx73vJQ+xB/ssvv8ybN4/kbt264feFF174+OOPt2zZMnHiRPOvRx4EOaCwUQ9yejMMUA9a%20vrRW2YXbh8BljqMF876XvEIe5HfddRd+x4wZc+jQIczqQ4cORRLzuf24nD3kTZC7oR7DUZKZXmUt%209iBfunQpXSjZuXPnH3/88d5779E/0l999RXdr4Lz9ltvvfWoalZigtwbE+QZheTCG/90sUHEBLk3%20JsgzCkmQi/erGzgmyL0xQZ5RSILc4IgJcm9MkGcUJsj9YoLcGxPkGYUJcr+YIPfGBHlGYYLcLybI%20vTFBnlGYIPeLCXJvTJBnFIpBfvjw4X379h04cIClsxgT5N7veDFBnlGoBPktt9zy2muv7d+/f926%20dfR+CLbBJ3v37nX7W47f4/jLL7/Qm2eeeeYZyhHJyclhUt6R7UHueBe65W5nE+QZhWeQ229u27Nn%20j+Vu5ZEjR9Jd7gD9u2bNGpIBfeGYmDNnztKlS1nChZdffnnt2rUQtm/fTjlEx44dmZTXZHWQn6r2%20PJkJ8oxCHuTt2rVj0rF89tlnBw8eZInUPEwPI3399df33nsvhNtuu61OnTrTp09v3LjxzJkzhw4d%202r9//+XLlyPIu3bt2rlzZxz9H3jgAZzrpQwcOf744/HbtGnT1q1bb9q0CUeW66+/ft68eZUqVcLM%208dNPPxUvXvzbb7+tUaMGgh+mWrVq9fHHH48YMaJFixYQcCj5/vvvyZRuIg1yRAuwv5WB4xhOtFen%20Tp2wIwlsgzu0Cz1tQgLbcCyKT4bDApMMGYA8yDFFM8nGY489xqQjRxDGWK7jTP7BBx/s2bMnFmu1%20a9e+8sorN27cOGzYMCzme/fujaMAgnzVqlUVK1Zs1KgRdjnnnHP469nr1auHmQD6s2fPXr169QUX%20XNCwYcOVK1fefvvtiHkcO84991yoXXzxxThG0C6UgySWACeffDJKoXzdRBfk/P0Nkih1CyfsSw+T%2004vpVSBT2It2dETxHS8myDMKeZBLvlUgnsZPmDABMYbIxLodYYnJ9uqrr8ZZ988//4zIp0M8fj//%20/HOcAiDIsep+5513cAS56qqryAKmaBwmcE6OORnzfPXq1bds2QL9m266acWKFfPnz69QocIXX3xR%20tWrVr7766t1334VjODtYsmQJjib0pYQBAwaQKd1EFOSYSy3xSc+HW2Z1SThhk9uE7IbdvgUzk8cR%20eZD369ePSTYmTZrEpCwjoiDH7G0JcopYy6wuD/IAb3qRn9ubNXkckQf5mDFjmHQsfmeIJJEHp+sE%20Rayl6d3CiR8RJOfeFii8PY8LKu94MUGeUciDHDRv3pxJubzxxhvffPMNS2Qf0QU5QLTwgKGraCqn%2066mdjuYjYiGozOd8FxxZIMjnc893vJApQ4bgGeRg4sSJPXr0ePLJJx999FEcx7HwZhuykkiD3JPM%20DCcT5BmFSpAbREyQe2OCPKMwQe4XE+TemCDPKEyQ+8UEuTcmyDMKE+R+MUHujQnyjMIEuV90BTkC%20I0mwWhkyABPkfjEzuSFmmCD3iwlyQ8wwQe6XJAd5Tk5OuXLlTjzxRPstUIb4YoLcL4kN8tKlSzMp%20xSuvvNK5c2eWMMQZE+R+SWaQV6hQgUkCe/funTx5MksYYosJcr8kMMjpQ5aOZPNX7xLD4sWLJxn8%20sHz5ctZ2aqQVhBTDCxYscHvIxC3Ieb7KUaBkyZJMskHv4jIYsoHNmzcvy0XyfhQ7wYNcfNTU7bEw%20txhetWoVjgsqz58BSZCvW7eOSQZD0vn000+ZlHqAmkkKBA9ySwAjaXnCHEgmavWHySWn65nzAk2D%20QTd5H+TA/m4mSZDT66JYwovy5cszScBceDNkFXkQ5IBHKYW3epDzF8iox7n5C82Q5ezYsWNjLocP%20H2a5CqQV5J6ox7AKOTk5ZcuWLVy4sLkZxmBQJ05BbjAYAmCC3GBIOCbIDYaEY4LcYEg4JsgNhoRj%20gtxgSDgmyA2GhGOC3GBIOCbIDYaEY4LcYEg4JsgNhoQTJAjp06Iskfs8meNzo45BjkzQqVMn+hCq%20/BOlBoMhTQLOtBSiJCPm/b40ArvQQQEHCMoxGAyaCBjkNAmzRO6bYQYPHoxMcUp3C3KATfyBU4PB%20oI/gQQ4wD9PbYCjIaVoW3w8jD3LF1z8ZDIZ0CB7k+EWgUmAjyDGB08wshq5bkJMm7UU5BoNBE0GC%20nF94o1iFDBCuCFoSUlpHQZJJAin1o/k4HEAw87nBoJUgQa4OBbPBYMhDTJAbDAnHBLnBkHBMkBsM%20CccEucGQcEwQGgwJxwS5wZBwTJAbDAnHBLnBkHBMkBsMCccEucGQcEyQGwwJxwS5wZBwTJAbDAnH%20BLnBkHBMkBsMCccEucFgMBgM8cbM5QaDwWAwxBszlxsMBoPBEG/MXG4wGAwGQ7wxc7nBYDAYDPHG%20zOUGg8FgMMSbkOfyvxgMBoMh62FTgiEqwp/LmRQJiSkugopoLSLWLQPi5X8EbaK1CN3+R9A+IpqK%20M11g8EXILZ6MKHJDX3ERVERrEbFuGRAv/yNoE61F6PY/gvYR0VSc6QKDL0Ju8WREkRv6iougIlqL%20iHXLgHj5H0GbaC1Ct/8RtI+IpuJMFxh8EXKLJyOK3NBXXAQV0VpErFsGxMv/CNpEaxG6/Y+gfUQ0%20FWe6wOCLkFs8GVHkhr7iIqiI1iJi3TIgXv5H0CZai9DtfwTtI6KpONMFBl+E3OLJiCI39BUXQUW0%20FhHrlgHx8j+CNtFahG7/I2gfEU3FmS4w+CLkFs+cKHr55ZextUyZMiwt0KlTJ2zCL0srI69dgwYN%20oLBq1SpKkgOKpeizzJEXga1gwYIFLJ0C5TLJC4lx8pY7DwYPHiwm5Ugsg6NOu7iNIhy3OgI1JtmA%20NdFbqg5+WdoLN8toBEAyRinvTQiexiXegghGC4eM28cJaiQpVGI8zdYmJPbJYGSHBXQxtvIaURGW%20AenoDJCYhR2+FxURYhMBaiVym2TqYupWPm4lyO0bdBByi0fchZLiMAQBhqAlVDAQkY/McIMWm+xH%20NKBYij7LHEkRgI6hlrIcy3VEYhytja38cKZyIBBJx23alOZcLoJhYxlOnqhY9jsaJTYtTcEJd7QQ%20aFje/vZulVRKxThINba/1iYk9lNHhegOCwBliTaRBCyR6hceGhYkZlMNE6RlOHKf0RRQEGMWSYoj%20lKsSwnL7Bh2E3OIRd6GkuFTMHj1XxeDjwYMciitk8gDD0OQKyBQHsQW34mAWm9yGOB3sgBjDFrCV%20Sccit0xAgcKMChIPHCJuRRCWFiCDPBPNJbEMJMapChzRCJIkoDjIVKgFruOI3G3e8pSE4NYFXMcN%208tDSEUdNuyzyOFBgkjviaCSoOm6W3WwqjhaokYzWcOtTT7fRttw9KtfSffZKcTyNS1obkP/B7GNf%20vjsfDMghU6JNCLyCorIdSXGABiEVinqhUpZkSssBFbMEWQPwk3LILHx2cxs6THICBqGAIiBTX3A7%20VAT1NTLd7MjtG3QQcotH3IWS4jAc+RCHGoYdxp84IiloKSRoaBLQ4WoW3IojI25HFmAvxUJgy9gk%20ekuB51iQWxGEaIQKTTXD/zJ5izkiMS4eFwA/eEGQGOSk47al2alxuCcinqVIduTDzBG5ZcKxbZGD%20fJY4FjebVF95q4oOo15uyp5u0zHdAtuWQjJgLJoWFFs7mPPYnVuAGoxgVOCXckSfocbtSMoCkuII%20boqM0HSOCvJyHZGYtTgDtwGXeYhBza0Iuc/ksGMXiPYB1Hh7isjtG3QQcotH3IWS4jDCxEEGTT7c%20AWQeDxCwlY74dDR0HMRAXjvY5HYI5IhmxU0W0rTMIxZ14fWyIC/CHvOwg1JY4tgWsyMxjl7AVscm%20RT63CQXxGMFJx21qHG4WsjgkRNxKIQv2inN9iU3CzbKIY9uKFbEgt4m9oOA4WgA2UYMgBzKwFw2Q%20zyQnsNXeoegLcS/HShFuxn21Norzax9gd7G/oCk2sugzWknUlCApjkONwxuN+sjehiISs9gdsMSx%20bkPmAx6Z9gAh5D6j4m7uwT63GawLDJoIucUj7sLEFBdBRbQWEeuWAfHyP4I20VqEbv9DsW8/s7Tn%20EJqqY7rA4IuQWzziLkxMcRFURGsRsW4ZEC//I2gTrUXo9j8U+5i5YYfjtsAF2MqkUNFkltBqHOi2%20b7ATcotH3IWJKS6CimgtItYtA+LlfwRtorUI3f5H0D4imoozXWDwRcgtnowockNfcRFURGsRsW4Z%20EC//I2gTrUXo9j+C9hHRVJzpAoMvQm7xZESRG/qKi6AiWouIdcuAePkfQZtoLUK3/xG0j4im4kwX%20GHwRcosnI4rc0FdcBBXRWkSsWwbEy/8I2kRrEbr9j6B9RDQVZ7rA4IuQWzwZUeSGvuIiqIjWImLd%20MiBe/kfQJlqL0O1/BO0joqk40wUGX4Tc4smIIjf0FRdBRbQWoWI8JyenQYMGJUqUKJCiePHiSCKT%20bXYhmi6OV89G0CZai9DtfwTtI6KpONMFBl+E3OLJiCI3fBXna+pSsRxsLuTocx5IjLdp0+aEE06A%20goT8+fNDje1wLNjKJClRNo4vdFhWtxm4Wfy67asg3f7r601HNBWntRYBjKPZmzdvXq5cuRNTlC1b%20Fsn0u9gQFiG3eDKiyA2V4oJNXchkko0050IO1JjkTuCykM8kgXHjxnlaE8mXL9/kyZPZzrkgn0lO%20RNk4wdBh2dNm+s0CBSZJCVYQMpnkQpr+YyuTIkFTcVproW68c+fOpUuXfuWVV1jaBjZBAWosnSLi%20LjCAkFs8LlH0ZwqWUEZeXDpTF5IkiIQyF3KgwCQn0iwLOUzKZejQoTh5J2V1cIDGjsxECmQy6Vii%20bJx00GFZYjOsZsEmJrkQ+mgnQvEf+UyKBL/FKR58tNZCxTgatkKFCnv37mVpKVCDskoXGzQRcotn%20eBQROTk5RYoUKVSokOfFOguS4tKcuiCTHU5YcyEHW5lkI/2ykCSBgxYmNb+cdNJJzEQK5DBJIMrG%20SRMdlt1shtgsyGeSE2kWBJnsWAjLf2Qy6ViGDBnSqFEjllCgYcOG2IUl3HErzhH1g48vs37xNI4m%20vfXWW1lCGewi72KDPkJucc8u5F90EOEffqCPK4ifhZADZSYpU7169YIFC6aKPQqSbIMC0GeSjTSn%20LghkhxPWXMjBJibZSL8syCRwihYtSjp+KVy4MDORAjlMEoiycQDty7FnUo4jkq30BQsOfaZCzPT7%204YoQmwWZTHIi9NFOhOU/cphkY/HixQj/1atXs7QLUIAalFlaiqQ4C74OPlBgkgtkhGPPpBxH5FtB%20yZIl161bxxLKrF27tlSpUhA87RtCJ+QWV+zCBilIpvmbklrn8mnTpmGewC4WTjjhBGxiSlKgzCQb%20aU5dEMgOJ6y5kINNTLKRflmQSeAEXmMNGDCAmUiBTCYJRNk4HHpBt/gRKre5VkTFcpljv5oFWR4C%20bjZDbBZkMsmJ0Ec7EZb/yGGSC7Vq1Ro7dixL2MCmmjVrsoQCnsWBAAcfbGWSFE3DEnP5+vXrWUIZ%20TP9mLs8rQm5xxS4U53KAvSxzOX6B+F0/R6DDJC/q169//PHHk1k72FSnTh2m6g40mWQjzakLMtnh%20hDUXcrCVSTbSLwtJEkQmT55coEABUlYhX75848aNYzvngnwmCUTZOBagiWHpOTI5ipZpOQ6z/KAs%20wc1miM2CfCY5EfpoJ8LyH5lMcqdv376tW7dmCQFkYhNLqOFZXLCDDzYxSQEohzss0RcBrrF37NgR%20O0Lw5bwhFEJuccUuxMwNTQ4/flnW5ZLP6BLYyiR35syZIwkkEcwlUGa7OQEdJjmRztSFJAkiocyF%20HCgwyYk0y0IOk2y0adMGR1vayw0o+L0nOcrGEcGihwxKhqWIumUyK57juiGxGVazYBOTXAh9tBMw%20qxithKP/yGeSlNmzZ5coUWLr1q2UhIAkMimpjqS4dA4+yGSSAjqGJfqifPny5t63uBByiyt24dFV%20udMxyz6Xy880PYtr1aqVryMOlJs0acJ2tgEFJrkTbOpCJpNspDkXcqDGJHcCl4V8JrmTk5NTt27d%204sWLo5HBKaecgjEwcuRIttkFueUoGweDk49GunSUzhpaBHa4KTooy4/InjbTbxYoMElKsIKQySQX%200vQfW5mkQMWKFaemgMCyfOJWXJoHH+QwSYq+YUmYZ9LiQsgt7tmF/Po5wadtDk3nhH2rBegwycbi%20xYvJSDAcb3tBPpMU8DV1qVgONhdy9DkPfBn3haJlfY0jDkjYpEzLbWuSqRdbmWQDx1zaHcAgZaII%20luW+RscmJnkRuFnUiyBCH+1EMP/9On9HCpbwj724NA8+X375JYxAIGuO6BuWbqAvWrRoUbZs2cIp%20zLtiMo2QWzziLkxMcRFURGsRsW4ZEC//I2gTrUXo9j+C9hHRVJzpAoMvQm7xZESRG/qKi6AiWouI%20dcuAePkfQZtoLUK3/xG0j4im4kwXGHwRcosnI4rc0FdcBBXRWkSsWwbEy/8I2kRrEbr9j6B9RDQV%20Z7rA4IuQWzwZUeSGvuIiqIjWImLdMiBe/kfQJlqL0O1/BO0joqk40wUGX4Tc4smIIjf0FRdBRbQW%20EeuWAfHyP4I20VqEbv8jaB8RTcWZLjD4IuQWRxcaDAaDIcthU4IhKsKfy5kUCYkpLoKKaC0i1i0D%20NJUSL7MiWovQ7X8E7SMSx16OuIkMERByjyYjitzQV1wEFdFaRKxbBmgqJV5mRbQWodv/CNpHJI69%20HHETGSIg5B5NRhS54au4nJycBg0alChRgl5zUbx4cSTz8NUKWovwZbx9CpbwIpou1lRKvMyK6OtQ%20oNt/rc7bycNexvGkefPm5cqVOzGF/P0tIrq7wBA9IfdoxEMkA4tr06bNCSecAE0JAd5qmT5ai1A0%20vnTp0nz58h1tgtQLqJFkG9xRtJwmmkqJl1kRxSICdChQNB4YRfvBnLejWJxfJGaDvVdVRJPPhjwk%205B6NeIhkVHHjxo3znMVFcPiI8lMEWotQMd61a1fLRy1xTtOrVy+22QWoMcnGkCFDGjVqxBIKNGzY%20ELuwxLFISkmHeJkVUSkiWIcCaDJJDyr2AztvB/syKVQczeKIUaFChWDfOxHR5LMhDwm5RyMeIplT%20XODPNfr6RGA6s5dnEfqMb9iwoUiRIkcr7AQOqVBgqjagwCQnFi9eXLBgwdWrV7O0C1CAmuM79gm3%20UtJpEyB3PjCKZjOzQwF0mOREmm0O5PbTdN4O9mLSsaRZEbvZYN8hxS50kBFx89kQX0LuUcUhAjX+%20MZ8yZcoEHlgRj0hJcZKjg5yTTjoJu0MgO54Enr1UitBhvF+/fsWKFTtaVXdgbdCgQWyHY8FWJrlT%20q1atsWPHsoQNbKpZsyZLuCApJXCbAE/n6fMqlo8BIin/1JVKmxAZ2KEACkxyIZ02BxL76TtvB7sw%20yUY6FbGbLVmy5Lp161hCmbVr15YqVYolcpH4bIgpIfeoyhBR/zCfJxGPSElxlut16hQuXBi7QyA7%20igSYvdSLCMv47t27cRA5Wkk1oIxd2M65IJ9JUvr27du6dWuWEEAmNrGEO56lBDtdUHS+QerbaKtW%20rXr55Zf5N68kKJrlZFSHAmxikpTAp2iO9sNy3g6UmeRCWIMHc/n69etZQhlM/6gLS+Ti6bMhdoTc%20o+pDRPzgI+WIX/Gjr51CCGuBEgqS4gJfYx8wYAB2h0x21PE7e/kqIn3jo0eP9lwA2cGZDXZkJlIg%20k0lezJ49u0SJElu3bqUkBCSRSUk5KqX4bROg7ryvE1x1s5zM6VCAfCZ5EaDNgd1+iM7bgSaT3AlQ%20EbvZYNfYO3bsaK6xZwMh96jKEMFhi3+tGYhHMZrOaSIHIV5sDAV5cZMnTy5QoAB0FMmXL9+4ceNo%20XyRJ8IWv2ctvEVqNq+PXcsWKFaemgMCyFFAsxVebAEWzCIdOnTpBgL7lersjwVo7QzoU+DLut82B%20VuftKBbntyKOZnGQKV++vLn3zWAn5B5VGSKWJQglaf6O9VxOtGnTBqttaEqAQojPpCnOXsGK0Gpc%20hQCW70jBEmr4KkWxTYCnWczilskbOdiLpnY30mntPO9QEMC4epsDrc7b8VWcekUkZs0zaQY7Ifdo%20JkdR+vgqLicnp27dusWLF6d3xZxyyikNGjQYOXIk23wsaVZEZfYKXIRW455E08V+S1FpE6DJ+TTN%20qjivtdmDGVdxm9DqvB2/xSlWRMUsDjItWrQoW7Zs4RTmXTHZTMg9muFRlCb6iougIlqLiHXLAE2l%20xMusiNYidPsfQfuIxLGXI24iQwSE3KPJiCI39BUXQUW0FhHrlgGaSomXWRGtRej2P4L2EYljL0fc%20RIYICLlHkxFFbugrLoKKaC0i1i0DNJUSL7MiWovQ7X8E7SMSx16OuIkMERByjyYjitzQV1wEFdFa%20RKxbBmgqJV5mRbQWodv/CNpHJI69HHETGSIg5B5NRhS5oa+4CCqitYhYtwzQVEq8zIpoLUK3/xG0%20j0gcezniJjJEQMg9mowockNfcRFURGsRsW4ZoKkUHWZj3SCE7ipE00QcTcVFXAtD3Al5uCQjitzQ%20V1wEFdFaRKxbBmgqRYfZWDcIobsK0TQRR1NxEdfCEHdCHi7JiCI39BUXQUW0FhHrlgGaStFhNtYN%20QuiuQjRNxNFUXMS1MMSdkIdLMqLIDX3FRVARrUXEumWAplJ0mI11gxC6qxBNE3E0FRdxLQxxJ+Th%20kowockNfcRFURGsRsW4ZIC8l8IeodTgfzGb7FCyhgNZm192nuu1bUCwuJyenefPm5cqVOzGF5zva%20Iq6FIe6EPFwyM4rCQl9xEVREaxGxbhngWUqwD1HrcN6vzaVLl+bLlw97AQhIsg1S/JbiC63GgW77%20FuTFBX53esS1MMSdkIeL4viDGlGmTBnxU6eAFAbnfhE1lI9M0PcqOGRTzJSXwoEmk5zgPhP0VRgx%20U/KdGGxlkguWVqIPcoiZnt/Xgg6TnEjHeQAFJjmRjnFsZZI79P1vDn2bR8zkX+txAzpMkuL3Q9QS%20s4HbBJuYpEDXrl0tX9bPnz9/r1692GZ3oMkkFwL7D7CVSXrQbd+CW3GTJ0+uUKFC4G+aRVwLQ9wJ%20ebiojz+aSlki9yiAyYmljxzB/ComHfE73DHhiaVA9jzKiygWBzWuSdNtiBVBs0AZrUdJzFiSg6aI%20YhFQ45qKzgO+i5yUbV0tg66EMhqEkmgiz/Mbjnopvj5ErWIWOlxNpU24spwNGzYUKVIkZdsBTPBQ%20YKpOQIdJXpBBkkPv02Dotm/Bsbhg3xrHLvxb4xHXwhB3Qh4uvsYfDrt8QUxTOz8Q47jMpysJAYY7%20FYSjvOIUKKJeHJ2aoBSVWgBfFaEjJozz5lJBn/NAn3F1ywTahOx7zigivkpR/xC1ollfbaJis1+/%20fsWKFYOmhIIFCw4aNIjtYAMKTFJAd5/6Rbd9C47FlSxZct26dSyhzNq1a0uVKkVyxLUwxJ2Qh4uv%208UdzEsU/DsFiMpSL3m5gL+BrIiTUi6O6AE0VoRnL117qyn6dB/qMq1smMH7IvuK8QvgtBah8iFrR%20rK82kdvcvXs3JgOypgKUsQvbWQCbmKSA7j71i277FhyLw1y+fv16llAG07+Zyw3BCHm4+B1/dEaP%20QwAOBzyJX0p6EqA4QDIKxe6KBRGKxcEyn0ho0iVZgnpFFixYwM9CaN5SnLT0OQ/0GVe0TIjLcezI%20G8oTX6VwPD9ErWLWb5tIFEaPHu25HLdTuHBh7MhM5IJ8Jnmhu08DoNu+Bcfigl1j79ixo7nGbghG%20yMMlwPjD8ZfPr8CSlKNYHAxCk7AcdwjFgz40meQEDmpkDfC/4VEdliVdtWArk1ygP4MJbkesF6BM%20N+QK6TgPoMAkJ7S2DBBNUQ5fKRK8092ADpNCRWI2cJtgE5N04lmK7j5NB932LbgVN3ny5PLly5t7%203wzREPJwyZAo0oS+4iKoiNYiYt0yQFMpOszGukEI3VWIpok48uLMM2mGaAh5uGRUFIWOvuIiqIjW%20ImLdMkBTKTrMxrpBCN1ViKaJOIrF5eTktGjRomzZsoVTmHfFGMIl5OGSmVEUFvqKi6AiWouIdcsA%20TaXoMBvrBiF0VyGaJuJoKi7iWhjiTsjDJRlR5Ia+4iKoiNYiYt0yQFMpOszGukEI3VWIpok4moqL%20uBaGuBPycElGFLmhr7gIKqK1iFi3DNBUig6zsW4QQncVomkijqbiIq6FIe6EPFww/gwGg8GQPuyo%20ajAoEP5czqRISExxEVREaxGxbhmgqRQdZmPdIITuKkTTRJyIizMYHAl5FCY7ivQVF0FFtBYR65YB%20mkrRYTbWDULorkI0TcSJuDiDwZGQR2Gyo0hfcRFURGsRsW4ZoKkUHWZj3SCE7ipE00SciIszGBwJ%20eRQmO4r0FedoedmyZcj3y3HHHYcdmQkBbGKSH9qnYAl3fBlXtEkoWs7JyWnQoEGJEiUKpChevDiS%20kod3LQRrHE90NIsmVy1oLUV3FVTsY2w0b968XLlyJ6bwfNpbQjQ9YjDICXkURjysE1OcxHLdunVH%20jBjBElKgVq9ePZaw4df5pUuX5suXD3sBCEiyDU4oGvdlk5BbbtOmzQknnEAG3cifPz/U2A4uQI1J%20oaJoVkdTp4nWUnRXQWI/8FvYJETTIwaDnJBHYcTDOjHFyS0PGDDghhtuYAkXoAA1lnDCl/Ndu3Yt%20WrQoduFgRuzVqxfbbAMKTHLHr00Cakw6lnHjxnnO4iKYI8WXXVuAApNCRcWsjqZOH62l6K6Co330%20foUKFQK/HV1CND1iMMgJeRTKh/XLud8OZ2kB+lSD5HsMjjgWN2TIkEaNGrGEAg0bNsQuLCFFX9B6%20Wl64cGGxYsU2bNjA0gLIxCYosLQLis7DWpEiRaDsCGYdRx+wiUlOBLNJQIFJAkOHDj3xxBNpd3Uw%20R/KPUFnAVia5QF8NEb/6Q1+7kX9nT25WR1Nz+Ndl+IdPAPx3jD47iqVQEeKnayjGWcIFR4UQw9Zu%20P9hXy7CL24AR8ayvwRABIY9C+bBGnIMGDRpYDig4xCAfmaHM5WDx4sUFCxZcvXo1S7sABahBmaW9%200Be0iparVas2ceJElkiBZNWqVVlCikoR/fr18/xoJlps0KBBbIdckM8kG4FtEtjKJAHJFCjnpJNO%20YiaOBZuY5A7NjvRJPfxixFK+BIlZHU1tB05Cn05BIMjPPETUS6FzGopchLB46uCGm/GwwtZuv2TJ%20kuvWrWMJZdauXcu/Ji5Bva0MBn2EPArlw/roTJ46AiLm6ZhImfxAwOdyCHy+F5UtyIurVavW2LFj%20WcIGNtWsWZMl1NAXtOqWu3Xrdsstt5AMAUmSPZEXsXv3bhy2oKMIlLEL29nFeJo2CeQzScByUVqd%20woULMxPHgk1M8gIjE8qKk6KjWR1NLQcRxKNJEb+lIELVd5Frph+2dvuYy9evX88SymD6R+OzhDsB%20esRgCJ2QR6F8WPO5HEAT8Y+zeD5P43DD53KocVNQ4PkWPKOob9++rVu3ZgkBZGITSyijL2h9WZ4x%20Y8bpp59+xhlnQGBZCkiKGD16tOca0Q7mRexIFpAkgZO+TQKZTBIIfI3d7ZYCbGWSFBqxNDjF6+1u%202M3qaGo5pE+nICqLZsJXKYhcnNygQbAXD3AJnsbTDFu7/WDX2Dt27GiusRviQsijUD6sj87kQqhD%20WVwuiHM5XXUnWYJKFM2ePbtEiRJbt26lJAQkkUlJX+gLWr+W96ZgCTX0OQ+ib5nJkycXKFAAWxXJ%20ly/fuHHj2M42oMAkFzCLWyZv5GAv+ezoaTYA6jbt7iFHcXdFNcSsJU6Rg33l1y1UjKcTto72MWDK%20ly+vGDVQM/e+GeJFyKMwrGFtX/Q4LoPUi6tYseLUFBBYln/0BW0EhwOtReRVy7Rp0warbehIgEKG%20P5PmC02uWtBairrxYGErsW+eSTMklZBHYVjDmq7Xcfh1eAvYxCQF7kjBEoHwVZwv9FnmaC0iz1sm%20Jyenbt26xYsXp3fFnHLKKRgzI0eOZJu90OS/DrNa+5GjtRRfxgOErYp9DJgWLVqULVu2cArzrhhD%203Al5FEY8rBNTXAQV0VpErFsGaCpFh9lYNwihuwrRNBEn4uIMBkdCHoXJjiJ9xUVQEa1FxLplgKZS%20dJiNdYMQuqsQTRNxIi7OYHAk5FGY7CjSV1wEFdFaRKxbBmgqRYfZWDcIobsK0TQRJ+LiDAZHQh6F%20yY4ifcVFUBGtRcS6ZYCmUnSYjXWDELqrEE0TcSIuzmBwJORRmOwo0ldcBBXRWkSsWwZoKkWH2Vg3%20CKG7CtE0kcGQUYQ86COOosQUF0FFtBYR65YBmkrRYTbWDULorkI0TWQwZBQhD/qIoygxxUVQEa1F%20xLplgKZSdJiNdYMQnsbT/Lh4NE1kMGQUIQ/6iKMoMcVFUBGtRcS6ZYCmUnSYjXWDEG7Gw3qRSzRN%20ZDBkFCEP+oijKDHFRVARrUVkTsv8mYIllAngv0pBOppFaz9ytJZiNx7ux8WjaSKDIaMIedBHHEWW%204vR9uZzQV7sI2k1rERnSMjk5OUWKFClUqJDfF3j59V+xIDez6QxUrf3I0VqKxXjoHxePpokMhowi%205EGvEkUvpz4zZcfxjetysBeTctH05XLCXpyI5b2zVB0xU1JBbGWSC/TxbA59k0bMFL9S4wh0mORE%20Os4DKDDJiXSMYyuTvKhevTr6lAwCJNkGBaDPJAXUC8JWJtkIPFAlNjn0VTQOff5EzPT8cBF0mORC%20iH0a+sfFLfYNhmwg5EGvEkWWD5hiEvKch9xwKy70L5cTiscIqHFNmm7ln40CXN8TOiLzY7H9+11u%20KBYBNa6p6Dzgu8hJ2Q6/ZaZNm1a4cOGU7WM44YQTsIkpSYEyk6T4LQibmORCgIHqaZNDLcyDa8GC%20Ber7+tLkysH6NPSPi1vsGwzZQMiD3lcU0QLdMhVhcsJ0xdfu8gUEFJhkI9wvlxOS4izQAgWHUc8F%20EKFuGfBjtNsnZxzR5zzQZ9zTcv369Y8//nioOYJNderUYaruQJNJ7gQoCPlMcsfvQFWxKUInf2hw%209Y+XA1+lpNmnoX9c3G8TGQwJIORBrx5FmIcclWkuJxnHCBwgSHZEXlyIXy4n1GtH0y2wXIRwQ90y%20Qa3nay91Zb/OA33GJZbnzJkjmVxF8uXLB2W2mxPQYZITgQtCDpOk+BqoijY5tBwHiCaWpYCvUtLv%2003A/Lm63bzAknpAHvUoUUeRbwh5HHDqpD3EuJ0L5cjmheIyA/3yB4nbKYkHRMkBDwSbJKAU7hrXA%20JQI4D/QZd9Np1apVgQIFsFURKDdp0oTtbAMKTLKRTkFIkqCC4kD1ZRONzJfjCCV5NImolxJin5pn%200gyGwIQ86D2jCJEPHUewFccaknFQEDVpXzuSTSIBPoHsiLw40WHxAMqypKsWbGWSC3x1BbgdurbJ%20oUw35ArpOA+gwCQnwm2ZxYsX017BcLzhEflMEki/IPwyW2qoDFQVmzSnEjh1pkyWTuG5RocOk1wI%20t08t5KT3cXFP+wZD8gh50EccRYkpLoKKaC0i1i0DNJWiw2ysG4TQXYVomshgyChCHvQRR1Fiioug%20IlqLiHXLAE2l6DAb6wYhdFchmiYyGDKKkAd9xFGUmOIiqIjWImLdMkBTKTrMxrpBCN1ViKaJDIaM%20IuRBH3EUJaa4CCqitYhYtwzQVIoOs7FuEEJ3FaJpIoMhowh50EccRYkpLoKKaC0i1i0DNJWiw2ys%20G4TQXYVomshgyChCHvSIIoPBYMhb2PHIYMgawp/LmRQJiSkugopoLSLWLQM0laLDbKwbhIimCgZD%20VhFyUEUcpYkpLoKKaC0i1i0DNJWiw2ysG4SIpgoGQ1YRclBFHKWJKS6CimgtItYtAzSVosNs5jRI%20Tk5O8+bNy5Urd2IK9Te6RFMFgyGrCDmoIo7SxBQXQUW0FhHrlgGaStFhNs8bpHPnzqeffno6b1qN%20pgoGQ1YRclBFHKWJKS6CimgtItYtAzSVosNsHjbI5MmTK1SokP4XUKKpgsGQVYQcVBFHqaW4IUOG%20NGrUiCUUaNiwIXZhCQX01c5uOfS6aO2aKFtGB26lpNkLOpzPqwYJ9mVS7GL/Mmk0VTAYsoqQg8pv%20lNInQ8rYPt9EX26w51uwF7d48eKCBQuuXr2apV2AAtQcP7MhQaV20AHit8sge+7oqBBuXTx9AEdd%209+88UNQBobSMHf7tGf4pEYBR1EDtE++SUtLpBYlZIuWyvzaRb+Xw75DyD58Azw8PcuyllCxZct26%20dSyhzNq1a0uVKsUSudiNGwyGNAk5qHxFKQ43dGTBXvavKiEnwFxO1KpVa+zYsSxhA5tq1qzJEn5Q%20rB3NK1QjVEE8mLohsRxWXfQ5D/KkZezQh+MwHdJMxnIV8FQO1gsqPvhtE1/1ojMD+ioaBPFER469%20FMzl69evZwllMP2budxgiICQg8pXlHJlOpyJqxOQzlwO+vbt27p1a5YQQCY2sYRPfNVO8VvOhFwz%20lLrocx7kVcs4gl0Ul+MclVIC9IK68+ptEqBBEEeeoWTBXkqwa+wdO3Y019gNhggIOaj8HrwsWC6Q%20pjOXg9mzZ5coUWLr1q2UhIAkMikZAHlxIvAcdeHLRJbrjqfl9Ouiz3mQhy0jAss0Zmh0icNJjmIp%20fntB0ayvNvHVIID0EU0QVC6EEI6lmHvfDIaMJeSgUoxSHLzshxU63PDjb/pzOVGxYsWpKSCwrKCo%20FAefLYdj5Ij1ckSx3dKpiz7nQZ63DIxYTFEOimBpKYqlEOq94Gk2QJuouwpNS5QhR3F3iVrnzp1L%20ly5tnkkzGDKKkIMq4ihVLO6OFCyRBvpqp245cF20dk0mtEw6+C1FsRd0OJ85DZKTk9OiRYuyZcsW%20TmHeFWMw5CEhB1XEUZqY4iKoiNYiYt0yQFMpOszGukGIaKpgMGQVIQdVxFGamOIiqIjWImLdMkBT%20KTrMxrpBiGiqYDBkFSEHVcRRmpjiIqiI1iJi3TJAUyk6zMa6QYhoqmAwZBUhB1XEUZqY4iKoiNYi%20Yt0yQFMpOszGukGIaKpgMGQVIQdVxFGamOIiqIjWImLdMkBTKTrMxrpBiGiqYDBkFSEHVcRRmpji%20IqiI1iJi3TJAUyk6zMa6QQwGgyZCjtiIDwGJKS6CimgtItYtAzSVosNsrBvEYDBoIuSIjfgQ4Flc%20Tk5OgwYNSpQoUSBF8eLFkVR5BNYReXHplBVBu2ktQp/xCFoGaCpFh1lfNjH8mjdvXq5cuRNTmEfA%20DYakEnLERnwIcCuuTZs2J5xwArZKyJ8/P9TYDmpgLyYJhFIWdJikDa1F6DMeQcsATaXoMKti07ya%20zWDINkKO2IgPAfbixo0b5zmziuTLl8/xldGOQJ9JKUIsC1uZpA2tRegz7tfynylYQhlN/uswK7dp%20XpluMGQnIUdsxIcAS3FDhw498cQTkekLLJrtn3JyBMpMCrssbGKSNrQW4WZ8yJAhjRo1YgkFGjZs%20iF1YIoUvt3NycooUKVKoUCHFvzY4mhrHblZrg2BoBfiUGXaxj0lNDWIwGDQRcsSqHwLoSyrEy7mw%20bcpgXyalwHGcDPrlpJNOYiakQJNJYZeFfCa5QF8K4dAnQ8RMz4+IQIdJTtBHujhIWjIpxw0oMMnG%204sWLCxYsuHr1apZ2AQpQgzJL5yKxbKF69eqwkHL2KEiyDQpAn0k2MCzJIIFxa8mkHEewlUkC+hqk%20ZMmS69atYwll1q5daz4xbjDEnZAjVuUQ0KBBA/vEgwOifLZwxFJc0aJFkROAwoULMxNSoMmksMtC%20PpO8oHMgft6DxlRsN8UijrqYq0nnCpJvdnH4Lm7UqlVr7NixLGEDm2rWrMkSx+JpGUybNg2tetTv%20YznhhBOwiSlJgTKT3LF8wQyy5ydEJWZ1NAjm8vXr17OEMpj+zVxuMMSdkCPW8xBASz23gyBf7uCI%20CUiWrNexlUkpAl/3HjBgADMhBcpMCrssbGKSAtQymFowkbMsBdSLoD6CfUnLW1Ax3rdv39atW7OE%20ADKxiSVseFquX7/+8ccfDzVHsKlOnTpM1R1oMkkKjU+0TCjnT6E3SLBr7B07djTX2A2GuBNyxHoe%20AmhZKVnQYBMUMF1RErL6XA4mT55coEAB5CuSL1++cePGsZ29gD6TUoRYFrYySQ3M4mSTpRVQV+Zn%20UZKrxxYUjc+ePbtEiRJbt26lJAQkkUlJRySW58yZI5nFRdDyUGa7OQEdJnlBBhXPojzNhtsgAGOy%20fPny5t43gyHbCDliVQ4BWNYAlhCg42OacznRpk0brICxVQIUwnomLf2yoMMkL9A+fCKhZaLi6lmx%20CMzf3CCdMZAsR91/ULFixakpILAsd9wst2rVyteJFJSbNGnCdrYBBSa5g7U4X47TKSkfpW6omAWh%20NIiIeSbNYMg2Qo5Y9UMApnMoE5apnS86cejEb4C5nJOTk1O3bt3ixYvjUA5OOeUUGB85ciTb7BN5%20cemU5VkROsUh+HKZ2odDmW7IFWhyIvhVE7GP5Gt0KDBJjTtSsIQUu+XFixenPAqI/W4ygHwm2RAb%202XKWQ0CmTDvYyiQv0mkQCRiTLVq0KFu2bOEU5l0xBkNSCTliIz4EJKa4CCqitYhYtwzQVIoOs7Fu%20EIPBoImQIzbiQ0BiiougIlqLiHXLAE2l6DAb6wYxGAyaCDliIz4EJKa4CCqitYhYtwzQVIoOs7Fu%20EIPBoImQIzbiQ0BiiougIlqLiHXLAE2l6DAb6wYxGAyaCDliIz4EJKa4CCqitYhYtwzQVIoOs7Fu%20kIxlyZIlEyZMmGQw6GHixInLly9no00PIUdsxIeAxBQXQUW0FhHrlgGaStFhNtYNkrH85z//Wbp0%20KUsYDGHz7rvv3nnnnSyhh5AjNuJDQGKKi6AiWouIdcsATaXoMBtNg2QbZi43aMXM5R4kprgIKqK1%20iFi3DNBUig6z0TRItmHmcoNWzFzuQWKKi6AiWouIdcsATaXoMBtNg2Qb8rn8cAoIlk/jUyagr+YD%20SvJ8i0A6ogyQBBBSiv+D1PgmEgDlG+KFmcs9SExxjpaXLVuGfL8cd9xx2JGZEMAmJmlAn3GtbnM0%20laJiNicnp3nz5uXKlTsxheer2aJpkGzDc10+duzY+vXr7969m6Vzadeu3b333ksyZtnZs2dv2rQJ%208ogRI84+++yvvvqKNs2YMeOmm27av38/5BtvvLFbt26Uj7n5s88+ow/gPvroo8cff/xjjz1Gmw4d%20OjRw4MDff/8d8n//+1/+4sXvvvuucuXK5cuXFz+bO2/evCpVqlx66aWKr+I3RIyZyz1ITHESy3Xr%201sVxgSWkQK1evXosYUNrW+VJy4SIplIkZgO/Mj2aBsk20pnLb7vttp9++mnjxo0tWrSgiZz44Ycf%20KlSoMHjw4FGjRk2cOJHlpr7g0LFjx7Vr12Iy7tWr1/fff49MTPPjx49fsWLFyJEj0e+ffvopMvlc%20jiIsI6FHjx4w/ttvv0HGXvfdd9+BAwcaNWoEH0gBwJkvv/xy3759LG3IO8xc7kFiipNbHjBgwA03%203MASLkBB/uVWrW2VVy0TFppKcTQ7efJkHIUDf8osmgbJNgLM5YsWLcJv27Zt+/XrRzmYUGly5WAm%20rlix4ttvv83SKTCX9+7dm2SY5XP5Sy+9RD5gDr7wwgsbNmz48MMP0zf07HN5kyZNzjnnHMzfcKlG%20jRqtW7eGApz5v//7v+HDhzMlQ8aQ2LmcPvDlCH3Ygz5oQcoSVHSApTi6WiVmyj8cwoEmk5ywfOkE%20SUsm5TiCrUxyYeHChcWKFduwYQNLCyATm6DA0i7Ii0jHeQAFJjmRjnFsZZI74pdOAA0hMZN/LcYN%206DDJRjqDB1uZlEuwT4xjF/6JcbtNQ/rI5/Jvvvnm9ttvL1euHKbbd95559VXX61cufKsWbOwev73%20v/993XXXvfXWW9OnT8fvNddcM23aNNoL0/Brr71WqlSpe++9l66HY8JevHgxzdMzZ86E/uuvv379%209dfD4EcffYQinnzyyR07dtDuUEApmzdv/vzzzy+99NK6deu+//77KLRv376nnHIKpnlM5Jghypcv%20jxIPHTpEe+Xk5BQuXPiuu+5atWoVCoVX9msJhuhJ7FwuHrvLlCnDj4YYfzhKkqyC3+MaffhL/KCq%2051FeRLE4qHFNlAU5rI9jVqtWTbxYB5CsWrUqS0hRLOKo6z6dB3wXOSnbWloGoCuhzL9ahoFk+f6e%20BJVSAgweu9mSJUuuW7eOJZRZu3YtpgSSVVw1+MVzXW4wpENWXGMX53IOclQOxAGKoxUVjEvWgm6o%20F0eLTpSieGqibrlbt2633HILyRD4TTSe6HMeZELLELQch32VUxCOYil+B4/dLOby9evXs4QymP7N%20XK4VM5cbtGLmcg+CHdewF5B8dtoN9eJo0QnsVXNE3TKYMWPG6aeffsYZZ0BgWQqoF+HXeaDPuLpl%20gqZboH4iAtRLIeOKg8duNtg19o4dO5pr7Foxc7lBK2Yu98BvcVhO8RUVisDuOlZvsMwnElomkizB%20b0X2pmAJNfQ5DzKkZTBmeIdiR/XTNZVSAgweR7OTJ08uX768YvdBzdz7FgFmLjdoJeFzOV9CEfzI%20SAdK4DmdQ4dJUnAIJoPAMpcQigd9aDLJCe424P+kogosy+dNUqEjLyId5wEUmOSE7pYRTVEOX/0T%20vNPdgA6TbKQzeLCVSTbMM2kZhZnLDVrJinV5OiSmuAgqorWIWLcM0FSKitmcnJwWLVqULVu2cArz%20rpg8wczlBq2YudyDxBQXQUW0FhHrlgGaStFhNpoGyTaCzeUHDhz49NNPR44c+fDDD/fv33/o0KEz%20ZszYvn0722ww5GLmcg8SU1wEFdFaRKxbBmgqRYfZaBok2/A1l2/evLlFixYFChRAXziSL1++s88+%20+7PPPmM7GLIeM5d7kJjiIqiI1iJi3TJAUyk6zEbTINmG+lzetGlTdIEiZ511ltsNkocPHz548CB9%20MQXre8Df9xKMZ599tm7dunfccQdONVhWenz44Yc9e/bcs2cP5MGDBz/00EPqr4OdO3dunz59du3a%20xdJHjuzYsQM5c+bMYeksw8zlHiSmuAgqorWIWLcM0FSKDrPRNEi2oTKXY7pt1KgR2t8XRYsWXbFi%20BTNhA+VijiT5888/r1SpUtWqVR1f7ygBJwS33HLLk08+ydIhMXXq1Fq1amEOxsnBN998w3KDsn37%209ssvv/yll15i6SwjlnO5wWDQCgs2Q3iozOWW527UadmyJTNho0mTJg8//DBLpGjXrt155523detW%20uDR27NjvvvvuiiuuuPHGG7HG7dGjx/z584cOHdq6dett27axHY4cgef169e/66671q9fP2PGjAsv%20vHDhwoW9e/e+4YYbMBM/+OCDs2bNwqr9ggsugPLwFD///DPs9+vXb8mSJdD89ttv4ckjjzxCBokp%20U6ZgLt+9e/eYMWP++te/0heenn766fbt2y9fvhxGLr74YggTJ06Ew7/88gum/MsuuwxG4HOxYsXo%20lVbff/9948aNZ8+ejdYrVKjQ5MmTV65cefbZZ3/wwQePPfYYudS1a9d33nkHm2rUqLFx48ajZScO%20sy73IDHFRVARrUXEumWAplKicd6QPipz+YsvvogODYDkw0j2ubxevXoNGjTAlHn11VfTNW3M6xUq%20VPj0008/++yz888//9RTT500adLBgwdJH+zfv79p06aDBg2CfODAgVGjRmF6btWq1aWXXop9MXfC%204Mknn/z4449jxV+7du2ePXsOHjx4yJAhL7zwAorALHvKKadgGv7oo4/IIEFzOc4GYPOqq64aPXo0%20zgCqVKny66+/YuvixYsrVqy4du1a7AWv6FoC3MCpA4R77723bdu2EK6//np6OwLW5aja+PHjIaPc%20bt263XrrrZUqVYK11atXN2/eHD4MGDAgqV91M3O5B4kpLoKKaC0i1i0DNJUSjfOG9FGZy3/77TfM%20juhTXxQuXHju3LnMhMCePXvmzJlzzjnnYLabPn3666+/jrntH//4xzPPPIOthw4d6tChw0UXXfTW%20W2916dJl5MiRWJe3adMG8zFWyRAwiZIdgLU4FrhY/X/88ceY0bFcnjZtWqdOnc4880zMxzfffDNW%20wG+++WajRo0wGWNmxcL9tddew6Zhw4ZhF5xPQH700Udvv/12/p891v09evSAhQULFmCVX65cudat%20W8NnrP7RCLCGswE4DzfQLOXLl3/ooYfGjRv397//vXTp0lhzoz0vueQSTNLvvfce9oUDOTk5BQoU%20wIocO5577rlTp069//77S5QoAecx6/fv3x8+X3nllV9++SU5kDDMXO5BYoqLoCJai4h1ywBNpUTj%20vCF9VOZygEUk5i10qyL/7//9P18vWo4RmHQxl//0008sbZBi5nIPElNcBBVxKwKHMGzyy3HHHSce%20+5DDJAXap2AJL3xZDox6KVheNG/eHEuNE1PIX+0SjfOG9FGcy4mZM2eKrxp0JH/+/FiAJvV7o1i1%209+zZs2vXriNGjEjqVfFwMXO5B4kpLoKKyIuoW7cu3dviCdTq1avHErko+o/DZb58+aAMIKgcPRUt%20p4lnKZ07dz799NP9vnI1GucN6eNrLicOHjz4ww8/PPbYY3Xq1DnvvPPOPffciy+++Pbbb58/fz49%20x2UwcMxc7kFiiougIp5FDBgwQHKTDgEFqLGEgIr/OIsvWrQoNDlYu/Tq1YttdgFqTNKJpJTJkydX%20qFAh2KdQonHekD4B5nKDQZ3EzuWrVq2yfJGCPlbBEsr42oUuiw0Wvjy9YMEC5Hh+7YrjWdyQIUMa%20NWrEEgo0bNgQu0BQrAh9pMTSdMjx/HYIUCli4cKFxYoVc3y8FZnYBAWWPha5cexbpEgR6DiCCd6x%20RAIKTJJCXQnE3kRzWdrKDbdSgn2iFLvQJ0rdzBoyDTOXG7SSFetyOgqLU6w6foujz2fR8R2/KlOg%20iEpxixcvLliw4OrVq1naBShADcqU9FUROimBgEaTfGHMgnoR1apVmzhxIkukQLJq1aos4YTEeL9+%20/XASAAUJaAp6osYOtjJJATQI9NGt1NEsVwE35ZIlS65bt44llFm7dm2pUqUg+PLBkIeYudygleTP%205bTQFNdSOBAjB6jM7lBjkh/shSqiXlytWrXGjh3LEjawqWbNmiyRwm9FqJV8nYv4KqJbt270qgcA%20AUmS3XA0vnv3bkxp2KQIlO33CiGfScpgF8XlOMetFMzl69evZwllMP2buTxehDKXP/fcc7/88gtL%20GAwCSZ7LxSWyBZqoWEJKgGMlSlywYAEV4fdigK/i+vbt27p1a5YQQCY2sUQuvizDbSBpQEf8ttWM%20GTNOP/30M844Q+WhGrvx0aNHey7H7RQuXBg7MhMpkMkkBdAmZVLfvEezYEf10zW3UoJdY+/YsaO5%20xh4v0pzLsS89q5Y/f/5hw4axXIMhl8TO5ZiKoIk5laVTYH6lK8aa5nIc31EuS6SgI77FDQm+igOz%20Z88uUaLE1q1bKQkBSWRSUkTRMvy3TN7UkpZ6OeLXebAnBUtICWBcEUXLdGYjTt6UQ1O7J5JSzL1v%202UA6c/m9996LjhapUqXKpk2b2OZj+fPPP/ft23fo0CH80rvbDh8+DPnAgQP4xVZSU6dPnz41atTo%203bt3sJvnP//88y5dutDnWEaNGnXLLbeoP2P22Wef3X333eLbZCF369bN8RAXALm1efPm3XPPPWLp%204K233rr//vvRjKtXr27bti1dVJs7d+5dd90lti3aCrV+//33WdqJ33///Y477vj4449ZOj2y4v/y%20dIhFcRUrVpyaAgLLshFBRbQWoc94NF3sWUrnzp1Lly5tnklLKsHm8mXLllWqVAm9bAcL9Keffprp%20HQsm8rJly1r+IMOkhemcJdTYsWPHFVdcMW3aNJYOBGZKnAr88ssvW7Zs4bfvBIZe1DphwgSWTg+5%20tTfeeKN27dpuH4Vbvnw5GvnHH39k6WPBvH7ppZe++OKLLO0E5vKaNWu+/vrrLJ0eZi73IC7F4fwO%20sIQTEVREaxH6jEfTxeql5OTktGjRAoeJwinMu2KSQYC5/L777kP/yqlevbr9H3TM5RdddNGkSZNY%20OkWPHj3++OOP2267DXu1bt36u+++w0Q1cuTIvXv3XnbZZVgxz5kzByeLS5YsYTukltTnnXcedDDr%209O/f//rrr8e5RcOGDSFjtdqqVauffvoJ61G68aVjx45vv/02zGLmfu2118gCwFx+8cUX00dZChQo%208OijjyJz/PjxN9100w8//DBx4sSSJUuuWrUK610sRWB///79LVu27Nq1688//1y8ePEbbrgB8+Ki%20RYsgYJkOy8cddxxmWRSNOr755puTJ0+Gk1Cm4ji7du1q2rQpLPfr1w8L6IMHDz788MMwu2bNGviP%20stBu0KlTpw4aCtVp1KgRfVBuypQpZ5xxBs48MDueeOKJjzzyyKeffopJd9CgQQsWLChUqBDd3ANX%20zzrrrHXr1uEE5dRTT6XP20C+5JJLvv/+e9j8+9//jvUV2rNy5crwf8SIEdWqVdu5cydq0aRJE9hE%203dEX4j+MmPvhG06hYK179+6I+v/7v/9De06fPv2BBx6QP8Fk5nIPElNcBBXRWkSsWwZoKiUa5w3p%2042su//bbb3EOh85VAXOb5WukmMsvvPBCy7q8Xbt2hw8fpv/d6RupPXv2xIQKYd68eZjjMVv861//%20mjlzZkr9KJjPMA3TwhGTce/evaGDMwCaM2bNmlWpUiVMVBA++OCDf//735inn3jiCTotSBk4Cs3l%209LDGjTfeiKkR8+6VV1751VdfIQdT3fnnn7969WokMTdjgkQm7FMRw4cPv/rqq7du3YqzW/qYKSbd%20unXrUtUw6cJtzHlwg6xZQL2qVKmC+mIuxPwKmX9ZlT4Vg5mV5nLkwDeayz/55BOcHKDuOL3g63LI%20yMR5BhyjVRPN5bQupw+9YOs111xDvh04cKBWrVr0oZdnn30Wft5+++2oKVbzqMurr76KfJwhYZ4W%201+Vnn302GnlYimnTpuH8A2cG9P789957D9Xkf6faMXO5B4kpLoKKaC0i1i0DNJUSjfOG9FGcyzEH%203H333ehWv2CmEe1jGqtatSoWeZjwMBk0a9YMsyYWuM8//zzWi2PHjsWa+PLLL8f0CQVMIU8//TTm%204NNOOw3Ld0xjsICJf8yYMaeffvo999yDRSRm/ebNm2MSatCgAeY/zNBXXHEF7OA0Asah37dvX2x6%205ZVXRo8ejXVzyoujRnDGgOU18nGCguKwuMdpAX2NFMtQTO04a8Hq+Y8//sDk16dPHyxGzz33XCzW%20MQG3adMGC2h4jgXxSSed9Pjjjz/11FMlSpTAycHIkSMrVKiAqmG1TZ9owzSJutA31gBWtw0bNsRq%20GKcXWObu3bsX62AsuLELZnGcAUBh7ty5KL1z58579uwZPHgwFt+YfW+++Wa0J1bwcLhMmTI4QUE7%20XHfddZi8cUaCM4l69erhzGDcuHFFixbFPI31PTLR2nBg/vz5//znP4cMGYLGLFWqFBoK7YnmnTBh%20AoRixYo999xzOPVBO6MFcKYCC9WrV+dPpb799ts4JYKHaAR4jrMKONyhQwece6GaWP1jES/+Ky9i%205nIPElNcBBXRWkSsWwZoKiUa5w3pk869bwkG8+WFF15Iy/H0ef/99/lpRLZh5nIPElNcBBXRWkSs%20WwZoKiUa5w3pY+ZyO7t378YStlevXg888ABW8CzXEAgzl3uQmOIiqIjWImLdMiCaUgwZi5nLDVox%20c7kHiSkugopoLSLWLQOiKcWQsQSYyw8cOHDfffc99dRT9Bfphg0bcLCmNxx8+umnt99+e0qLsXfv%203m7duiGfpZMC6n7o0CGW8AKLe/v6PktW/GYu9yAxxUVQEa1FxLplQDSlGDKWAHP5pk2b1q5dyxKp%20LyxUrFhx0aJFLH0s+/btq1atWprPgmcUv/322zXXXDNr1iyc01x//fWW2/J///33+++//+9///sT%20TzxBOQ8//PBtt9323XfflS1blm4+X7ZsWffu3S0ve0kqZi73IDHFRVARrUXkYcvgaFKlSpVmzZqN%20GzduxYoVO1JAQBKZ2IQoYqruRND+hkxGPpf/8ssvGEtYc990000PPPAAcv773/8+8sgj3377bcuW%20LRs0aIDFJc3lmKuWLFly+umnX3XVVVD74osvLr300q+++opeaTxjxoytW7c2atTo1VdfXbhwITbR%20w9AE9i1duvQ///nPhx56CAplypTp3LnzJ598csMNN9xzzz1QwLw4fPhwTIHIQelDhw7961//WrNm%20zblz595yyy10JWDKlClNmzaFD6NGjfrHP/6Bom+++eZTTz21devWrVq1oqetiEGDBnXp0gXWHnzw%20wfLly+/Zswc5VatW3blzJ+p7wQUXwAKmZMxACxYsePPNN88///yvv/6a7XzkyMCBA9u3b0/yG2+8%20UadOHczulOTUr1+fv5Jy5MiRaEOczZx77rlorvvuuw82saxHu6FE0kkwZi73IDHFRVARrUXkScsg%20NnAIs3+OxQIUoIbDFks7EUH7GzIZz3U5Tg1LlixZr169b7755vXXX69duzZNXbTgxmSGNTrm8i+/%20/BKZWIM2b95879690KcnwjEIMU3Onj0bU2CLFi3ouvTKlSsrVKjw/fffQyYwmzZp0gTCli1bYJZO%20Q2EN0zDOJC6//PKuXbvCwqOPPjpx4kSsbvkD0C+99BK2/vDDD5ja33nnnaO2jhzBGQBGPuoFNcsF%20gw8++ODaa6+lJ8Qwp9JXECdPnozTi127dkHGNPzCCy9MmjTpvPPOgwMDBgx47LHHRCPDhg2DVyTD%20mSuvvBLn0JTkiHM558cff+zVq9f27ds//PBDOIacunXrPvvss7Q1qZi53IPEFBdBRbQWEXHLrF+/%20HksN+euULUAZu9D7me1E0P6GTEY+l//888+1atWaOnUqZiZ6jVrv3r3POeect99+u2/fvv379z94%208CAWxMWLFx8zZgwWtVgZV65cGVP19OnTMepwHoD8U045BWcAn376KabAxo0bz5o1q0OHDuIbAzEX%20wg3MnVhVz5kz57TTTsPUvmbNGrKG9SuU4QYmb0y6WOZiejjzzDOxwMW6tlOnTpBhfP78+X//+9+x%20pB47dixcXbdu3YsvvliiRImnnnqKFZNi//79bdu2vfrqqzHx33vvvVgrY4mM05QyZcrgtADGsabH%20Qvyzzz6DGk4gZsyYMWTIkE8++YTtn3rjDc4VMCu/8sort912G/xEJk5W6EWwBw4cwGkNzOLEBWcY%20qT2OVhDeotEoiVb997///fjjj2NGT96dBBaSNpfTt0yA5YsXlAnowyHYqvKxEIBdmCTl5dzvqBLi%20F1wIyvEEmkxyAj6TNYKqIGZKKoWtTHIBZ+VkhKAGFDMtTWoHOkxyIh3nARSY5EQ6xrGVSQJYPYjv%20VlQEu2BHljgWx1IM2UOA/8sTw8yZMy+44ALP61sq4BQBpwI47WBpQy7JXJdj4gTQFG+XwNGcf68s%209LmcA8vYhe41BZDVP5IGFIuDGtek6ZaX6AbX98TSdDj7CbetoMY1FZ0HfBc5KdshtMxxxx3n9n4l%20CVg8OVoDbvmGLCFr5/K1a9diXY6F9WOPPcayDBpI7FxOR3Ao89WkfS7ni3jJ4R5bmaQMLcfVTxdE%201IuDcSpFPF+R4KsiNAvCOF3GUESf80CfcUfLZl1uCJdsXpcbIiDhczmgIzsO6xAc1+U0b7kd94Md%20grEX8DUREurFkdsAlWVZUtQtE/xEh6UVUFf26zzQZ9zRsvm/3BAuZi43aCX5czlx9NAuXO62z+UW%20fQ42MUkNmOWW4YbEsiOKxcEyP/mgSZdkCeoVQSvxsxCUgh3TWeDaCeA80GdcotOlSxf1+9jlgaTo%20vyGpmLncoJWkzeV8TQZwWGe5KTDFin9dYzonNT71OgIFJkmBEbIGLHMJwWdHOdBkkhN0ckCI5yUs%20S7oSxVYmuQCDZARwO2K9AGW6IVdIx3kABSY5obVlECRVqlRp3ry52/Pls2bNYqrueJZiSDZmLjdo%20JZnr8hBJTHERVERrEbFuGRBNKYaMxczlBq2YudyDxBQXQUW0FhHrlgHRlGLIWFTm8nHjxp188smX%20XXZZnTp1/i0FClCD8ogRI9jOhuzGzOUeJKa4CCqitYhYtwyIphRDxqK4Ll+4cOG11167w/aCMwv7%209u1r1qzZ3LlzWdrGvHnzrrjiioYNG37yySeQoc82CHz77bdnnnkmvQbOTr9+/f72t79ZXvAOO++9%20996mTZs+/vjjYsWK3X333cg8cOAAMtetW0c6YMWKFf/6179atWrlWC4BnUqVKtWvX1/90ymK/Prr%20r1WrVqX/2uj7NH/961+/+uorJOEkf5MM8cQTTxQoUIDebZc+mzdvRsv4rdGaNWvQWQ0aNKDX5FlY%20tmxZ06ZN0Vks7YKZyz1ITHERVERrEbFuGRBNKYaMRf0a+7Zt29q3b//BBx+wtI2PPvoI0+SWLVtY%202kZOTs6FF174xx9/QMbs1a1bN5pTf/rpp8GDBz/++OP8JWiPPvooHIPm6NGjp06dunfvXkxFmN6+%20/vrrgwcPwshLL700fvz4MWPG0DSzffv2V155hb5WgpnjjjvuoMzp06fT50z2798PhWeffbZ///44%2024CR3bt3T5o06ZFHHnn11VexFTpw5rXXXhsyZMiTTz555ZVXWl7kgCSmpYEDB9Kke/jwYUy08Hzi%20xImjRo2yv1kdrYoarVq1il4MB+AwclDEnj17kFy9ejVOGujtsKgXb1i0DKr/zjvvVK9enU5ZUDTa%20AU2EouE5qXHgyZQpU7CVzhJwvoUW27BhA3Z5/vnnd+3ahXOmChUq/Pvf/0Z90aRwYO3atSNGjPjl%20l19QcajBK5zBkDUOfODvzL/pppvGjRtHMgdGatasOXv2bJZ2wczlHiSmuAgqorWIWLcMiKYUQ8bi%209//yBx98EId+lhB46qmnsNBkCXcWL1583nnnFSpUCLMLfWxt+PDhWN7RVqynsQrEVIeZ6YYbbkDO%20Z599VqVKFXqismXLlg899BCEypUrv/DCCxCWL19erVo1TPPz588/66yzsFJEJiZymssxzdBnUb75%205puLL774559/Rmbv3r2bN2+OGQ5l4YQA0/9ll1322GOPrVy5EqaooAceeADrcnEux2kBclAQlv7X%20XXddkyZNlixZgiX+iy++iK3wtnXr1qRJoGoXXHABJk6c32A+hgOYSn/88UdsmjNnTokSJdAOOA+o%20WLEiBEzGd911F12H6NSpEzyEgILOOecczOioGvalEyCcjqBQskPA4euvv/6LL77AOQ0qgqotXLiw%20VKlSmLCxtXv37vRxmg4dOvTr1w8CZtZ//OMfcAmzOM4e4DbONuAJWs/Sragv2ofkvn37YpyQzEEd%200arJnMsNhjjCRrAhK/E7l4MPP/ywRYsWmN4oiUVz27ZtVR6amDBhAhbKJGPuwSQ9c+bMrl278nni%20zTffrFu3LiZazCuUiZkY8/HGjRshY6KiuRw5b731FgRMJw0bNsTSFmvZsmXLYmpHJmYOmjwwtWOy%20+eqrr7CAvuKKK+gZTsy7cB4y5jmcHGDKxHyG4t5///2LLrqIrkJjnY11OQQOlrlVq1alj8pgFvzh%20hx+w2j777LMxuyMHpwKY+VKKDJwioFxM5DB+7bXXYsLD/Epz8NatW+H/559/jnMLrMvpLe4DBgxA%207TCpX3311VhMIwetinMLeIVGO+OMM2guxy6Y/sU1NOpeq1Yt+ioMTj5w6oNGQFNQWffeey+6BgJ+%20+/TpAwGnILCGWkOGZf6RGJw/4SSAZGLQoEE9evQgGedVY8eOJZmDxq9Ro4ZZl6dLYoqLoCJai4h1%20yxgMAeZygOUgpocvv/zyu+++w3zALyPLwdyGsvr3748JG9MD/04aZqDatWtj+pw0aRKSWIliSsMq%20E5MNpreRI0diYXrrrbdiIqflOGbuG2+8sV69evT61R07dsAH6PTs2RO7XHXVVbCPkwYsRjGFYzbF%20JDd37lzIWPtinYpZClPXuHHjoHbNNddgFX7ppZfOmzcPs2+dOnWwO1bGmPnowjsH0zPsoxRUfPXq%201ZgmL7nkks6dO0+cOBFtCP9pDiYwYSMfDsBJulqA6famm27C7jC+c+dOnEzAAsrt2LHjlClTcEYC%20zWeeeQaaVAr8hD5dNt+yZQtOCKAwcOBAi1fgwIED0MTJBH5xzoFzFOx+8803v/3222hD5KNVccYA%20J7E0x5kTMrGVzmwwqcNsgwYNHK+p4EQBDdK0adPff/8dSazgIcMHyNixcePGMI5eEz8Ia8fM5R4k%20prgIKqK1CBXjOTk5OOkuV67ciSlw1oyk+J0oRyLuYkN2EmwuJzBt3HXXXSxhSDpY67do0QInXiyt%20hpnLPUhMcRFURGsREuM4Zz/99NNfeeUVlraBTaVLl4YaSx9LxF1syE7SmcsNBk/MXO5BYoqLoCJa%20i3A0Pnny5AoVKuzdu5elpUANytiFpXOJuIsN2YmZyw1aMXO5B4kpLoKKaC3Cbnzo0KG33norSyiD%20XbAjS6SIuIsN2Un6c3lOTk7//v3tz0qB6dOnX3XVVX379qV7yg4fPty2bVuUSDd8EfPnz3/66adZ%20wpA4zFzuQWKKi6AiWouwGy9ZsuQ64fUUiqxdu7ZUqVIskSLiLjZkJ/K5/O233x43btybb765c+fO%20X375ZdSoUV9++SXblsvIkSMbNmxouQqFafu6666ju9YRDjVr1tywYUOjRo1ee+01WDjnnHOQuW/f%20vp49e37++ee0iyGRJHYuX5D6Ugj/zAZ4+eWXxaQivg709DGPwcLHWsgN9U+lqRQHHSB+uwyy546e%20CgR9pMTyJRhLcW6oFAEdizUV54FdB3O52wdGJeDQZuZyQ/R4rsv79OnTvn17CJs3b54wYQJliowY%20MQKLb8tcvnr1apqwIe/fv79u3brPPvvsnj17qlWrhnycHHz00UeYyLG1d+/elSpVGjBgQGo/Q9LI%20lrlcnF994fdATx9qo7kQvypToIiv2tG3v3ACoXKO4qsidFICAe0m+cKYBX3OA7vxYNfYO3bsaK6x%20G6LHcy7/888/MZ4HDhx47733Ot4Cgrncvi4/ePAgMt977z3IGzdurFKlCi8FS/z+/fvT+v7xxx/v%203Lnzjh07rrjiCnrviiFhJHwu54gLTcwftFCmeVc+3UKBSX6g1a36cpzjqzhUSl3fb0VouezrXESf%2088BR2dz7ZogLKv+XY2GNuLC/5hNMnDixVq1aNWvWvPnmm5Hcvn371VdfTa9DB08//XSNGjXuv/9+%20/ibwhQsX4pxAfDE4VuQXXHCB+cs8qWTduhyTkzivexLgQA/7KJfmQr/XA9SLozMS2McuKjOur4rA%20LBCvMaigz3kgMY4FR+nSpc0zaYZMRj6X0x1tEyZMkAxjkW3btt14442Wz4QYspks+r+cg4lEnJ/k%2015B9HehhFvMTS6RAjpsbjqgUB/8t8x9ysKP8MoBiReC/ZfKmGddSL0f0OQ9UjOfk5LRo0aJs2bKF%20U5h3xRgyB5V1ucEQmMTO5WGRmOIiqIjWImLdMgaDmcsNWjFzuQeJKS6CimgtItYtYzCYudygFTOX%20e5CY4iKoiNYiYt0yBoOZyw1aMXO5B4kpLoKKaC0i1i1jMJi53KAVM5d7kJjiIqiI1iJi3TIGg5nL%20DVoxc7kHiSkugopoLSLWLWMwmLncoBUzl3uQmOIiqIjWIiLuCIMhXALP5Vu3br399tuvvPLKa665%205oYbbti/f//XX3/dqlWryy+//J577tmyZQvTywVbW7du3bhxYxzc582b98cff7ANAshs3rx50aJF%20YZxlCXzwwQcnnXTSAw88wNIpDh8+/P77769evfrHH3+sUqVK7dq1KX/u3LkokWSwfv36hg0blixZ%20kqWd2LZtG3TOPPPM3377jWWFyqFDh+67775evXrRW6RQHdS0a9eutPWNN95Yu3YtyeDLL78sX768%20+ls0POnQocOAAQN27NjB0lFh5nIPElNcBBXRWkTEHWEwhMuqVasUX1DoyL59+7p06VK4cOFvvvnm%20hRdeuOuuu3bv3s22CXz66adly5b99ttvIWMXzGe//PIL5J07d44bN27IkCGY3TErIwcz3Pnnn4+t%2006ZNGzNmDE4Rfvjhh+HDh3/88cfY2r59e8zlmPaGDRuGyRs5UJgxY8bGjRshI7NRo0ZkB5k//fQT%20BDBz5sxnnnlm9OjRlStXppzJkyc/8cQTOTk5/KRh+vTpzz///KhRoy677LLNmzdTpggqCD8nTpx4%204MABJHGugBx49eSTT5InFrZv3w5rH3300fLlyykH0/NTKTZt2kQ5bdq06dGjBwR0ASqFkwnIsA/H%20Jk2a1Lt37yZNmqQUj7zzzjsoCAZ37dpFOSKoPur4888/jxw5EgJOGqZMmQJ9elUfmgi1QxKZtDua%2099FHH8VWx3f5wQG03tChQ+E8Ti+WLVuG1qPX8b7++uvoL2pYFAoduOR4WsYxc7kHiSkugor4KgJR%20hJVBuXLlTkzh+V6XiDvCYAgXzEN79uxhiaBgus2fP3+3bt1Y2gksdrFoPv744ytUqICZGzmYYLDu%20pEUwZotTTz314MGDs2fPPu+887B8XLlyJRamNE326dOnbdu2ENq1a0cviwWYdDEvYvGNIP3www+R%20Q3M5BOyFfd9++21MWlWrVqUZC1F81llnQejfv//jjz8OAdb++9//YsmOvcglzPEXXHCBfS5v2bIl%20NsGrhx9+GJYxGderVw+ZOC/BDI0aQWCqKXA+gQnstddew7kCnEdOs2bNcEZCW+ESToAg8Ln8/fff%20P/PMM1evXr1gwYJLLrmEZtx77rnnP//5D3oHLtF7vTBb/+tf/3rppZcgi2B+RT5OmDCLN23aFGdU%20yMS8W6tWrV9//fXee+/FRP7nn382btyY+qhatWobNmz46quv0IApA/8DZx68xdAp9evXx6nA2LFj%20ISAHjqHZp06d+uqrr3bv3n3Lli3z588vVaoU/E/t7YCZyz1ITHH/v727/Y2iasMAHv+Axw+Y6Aca%20o0GohGDWGBHQp5HS0oK0mkZofY/WTbAllRhpBJuWUisRRKNi1SKtRYmpBQQralERxRaqbQW1AXx4%20UUMFtSoFxZda+1zsPZyMu92ZM7s7293Z6/ehmZk9M2dmF/Y697S7Jw4XotNFxN+3GucXgii2osxy%201HAoZxEbWEaEIOdGrNI6OztXrFghy9glKysLObF27VrExk8//YSNSEREOArTHTt2SJaj+Js0aZJk%20OdJI5mpDoldUVJw9yvBwfn4+ukZWoY5XWT537lwsyIRsqFARbz6fT4YLGDpMnDgRC7W1tbfeeiuC%20Ezm6YMECRBriU37RgHoUy6FZPn36dDU36+HDh5HciEw5k56eHgz9g6Y5RnDu3r27t7cX5S8eRRIj%20+3F68ij6lXcSleVIUAwIUAQjNefMmSO3FjBuKCoqQncYgrS3t5/dc3h49uzZ9fX1sqx88MEHeBIw%20wsCOGDTIt2Gi0M/IyMDz8+ijj2JMgEfRqXxVPs4Nz0xxcTFGV0GFPsYfeOpkaIIhgmQ5Rg9yt1+y%20HEdevnw5DhvYYxivYFdXlyyHYpbb8Ex3cbgQ6y6inAclzi8EUWxFnOUInjvuuGPatGmFhYVHjx7F%20FmQzsgFbULDu379fmgkUlCjgUB1mZmYiF1UZh/qvoKAA8SmFMorF2267Dat+vx+rGzZsQHKUlJQ8%20/PDDCEWZkQWrKDcRD0hoxExlZSVWkc0YT+Tm5qI9Wq5evXrq1KlINWQkusb2GTNmoMyVmn7z5s0Y%20TNx8880LFy7Mzs5+4YUXkOu4Ciwj2lG5qnvgZjh5HATZtm/fPrwD4DIxbmhqasIIBn3hrAYGBoym%20gSxHm7q6OlzLmjVrZCM6wuXjKZJf5KM8wI7IZuQ3OsUyshYjIYxL0BHOsLy8fNmyZbIvGmAjnitk%20s2xR8KQh/hHbVVVViHnZt7W1FZeDZQw4cCbo9IYbbli6dCmeq5aWFrxSCHU8V2qIYLZz5040w5OG%20MQSOjDc9wLOH9tXV1WVlZXK/HaMuHBZ9YUQlO46IWW7DM93F4UIsuohsflLsouYnjfMLQRRbUdbl%205GEYhWA0IDdOIubNLEcbYZ43ZZdpFlS5NyKzhsij4dg2EDIrmiL9mjdaz+CioKWxNBI5YcV8FUK2%20jAiPGkthHA7MiqaMGzcuaKNssYA2xlKIsWPHBt0c04GKJC0tTZYtDk6U+Jjl5Cov1+U5AWiPQDI2%20BTYaS3qcRkjQrF9Y1p8kDTS7QzPVUuLWfI0jUu1tyeTrajYzPGMWQwQziy6Q5X19fcaKNsQ/s5y8%20oaOjI/6fU6LU4fEsx08px1VZbM5ybIym1gxHynEcWTMCzfS7k3IcvQRNIRqOowuR8QEO7mjoY9FF%20ZPfY/X4/77GTN+h8vhy1e0lJifpsldnx48dLS0txEPVoa2trXl5efX29/Hobfv/995qamghugJEH%20eD/LBZaxIyIqDlkO2AscBaHQ707iFmJy9z6UPGOO9rJu3NzcnJ6ejrcbY90SmvFv38hLdLIcMezz%20+eRTW2abNm3Kzc2V5QcffLC2thZv3DNnzsTqvHnzkN9Y2Lp166pVq4aGhgKtKOWkSpaD+n25se5O%20lqNcVuU4jo/dbe9+m2l2hyOb74Hr7KV/IXii1FMn9xhiWPqjtuBn0igF6WT5sWPHRsxyFOvIb1lu%20aGjIysoaGBiorq6eOHGi3+/v6+urrKzs7u7eu3fvlClTCgoK5ANmlFK8meWSQCIoh1RKSdCCdZyj%20gbFkSe54i6CUFUEDi3DQ0lgaiTpnUL+Gx/kbmyxrdDxqLIWhxjqgjmO+LpCN4dg2MGtsbCwqKho/%20fvz5AfyuGPI2nSxHKqvPcJu9/PLLN910kyyjLi8vL5dlaGlpkS9bRU0/efLkEydOyBeP8O/sUo2X%206/KY8Ex3cbgQV7uI8wtBFFu2WS7fZI7CGkm8e/dubKmvr8/Ly5PvTunt7c3MzMzIyPjyyy8Dzc9+%20LWtNTQ3KcVkF+TKWW265RX2pKqUOZrkNz3QXhwtxtYs4vxBEsaVTlwdZt27d4sWLzV+NQhQOs9yG%20Z7qLw4W42kWcXwii2Iogy4n0MctteKa7OFyIq13E+YUgii1mObmKWW7DM93F4UJc7SLOLwRRbDHL%20yVVJmeWUmox/AURJiFlOrmJdbsMz3cXhQhi3ROEwy8lVzHIbzHJ9zHKicJjl5CpmuY2UyvLGxsbC%20wsIJEyb8J8D2+1uCMMuJwolVlvf392/fvr2ysrKoqCg7AP9JKyoq8Fb+ww8/GI0o9TDLbaRClkf8%20vapBmOVE4USZ5UNDQ2vWrLn99tvb29v/+ecfY+u/dXd333vvvbW1tRazHqxfv37WrFl33nmn+Utm%204MyZM9XV1Xl5eYsWLTI2mXz//feh30YHf/755913352Wlqa+wUYTrqKzs9NYGR7+448/cnJyLr/8%208m+++Ua2PPbYYyUlJcePH5fVIHg2PvnkExm7nDx58vXXX49y8m8PYJbb8HaWNzc34/9PxPOdBGGW%20E4UTTZbv27cPKatZdp86dQole+iXuivvvffenDlzJkyY8MUXXxibAgP6/Px8FQZ79ux54oknkJFY%20bm1tveCCCwoKChDng4ODiOGnn34aY4Kff/4Zj3711Vfp6elyaQMDAw0NDc8995zM1YbGTU1Nb775%20Zl9fHxIXW8Tff/+N01MTVXz00Ufr1q1Dy2uvvVayfP/+/XV1da+++uqvv/6K1Z6enr1793788ccY%20zfT29iK2y8rKLrroopqamu+++w6dIsYwGkBL9Pv888+/+OKL2H720IHxzTPPPFNfX69OYNOmTVu2%20bMFpe+xrbpnlNjyc5ZHNQ4pd1DykQZjlROFEnOVIL5TRjoIHYen3++WLYEO99dZbLS0tGzduHDNm%20DApubEFt/fnnnz/00EP33XcfSu0lS5a89NJLGLs//vjjV199NXIRJ4/8RkskJUp/LCxevDg7OxsL%20Bw4cQJYjGjs6OnCeOCAC9eKLL37ttddwNPxE9D755JNHjhxBY4HGPp/vlVdeQRezZ89ua2vDxs2b%20N0+ZMgX7Pvvss7W1tbhejCFwHCQ9hiZZWVlojINPmjTp66+/RrTjCP39/dgRB582bRoGFhh84ASw%205dixY1OnTkVNn5ubi1ECtuBol1122apVqzAEeeSRR/766y/89NgMNJ7NcjQzT5ois5Jozvdl5iif%20ZJoTNU8ayIQl+lOl6XSHNmC+Fizb7hjaYOzYsTJ8duTbb79NS0szVv7N9hyIUlbEWV5VVYVS0ljR%20hsL3/vvvN1b+7e2330akYaG5ufmSSy4pLi5GamIV8VxSUoKyfv78+e+++26g7dkSGdGYl5f31FNP%20YRUBfP311yP4kbizZs3CloMHDyLL8RaH1JSYh9OnTyNu8RAGIsuWLUPu7tixQx4CPDpjxgwcCtl8%20xRVXoA02vv/++6jLjx49WlpaunbtWmmJw6KmX7hwofyC78SJE5deeil67+zsnDx5styBx8lLlpeX%20ly9YsCCw3/CPP/7Y1dV15ZVXotyXLbi0iooKnBKGJhiX4JRUL97gwSyX+DQHqsA/i9CNtpzmE3rB%20LjIrGn46HT1odifXKLOZYQCh5kyzEHpkZDn+nxgr2hD/zHIipyLO8tWrV2/YsMFY0Ybie+nSpcaK%20CQLsmmuuQdmKKhareOtAtGMBMfDfALlXt2LFCjRDhLe3t2MV0X7VVVehlEfxfd1112VmZqJ2nz59%20+vLly1HTo3bH7gMDA4cOHUKsIuwx/sBeKLgR5Gi/cuXKwcFBbBEo97ExIyMD7fGGiaHDzJkz8W6G%20wJZZYRobG3FM1P3btm1DvY4DomTHyAPnhgUENkIdje+6664PP/wwPz8fl4M6e2hoCO+3aIDTUzmN%20Zw8XhS0HDhzAKg6IgRG6xu6//PKLtPEGD2a5lOAW8SZBKMtS0VokbmT5JOeAf6bGujZH3cmcqsaK%20ndCWkd1j9/v9vMdO5FTEWY4q9sYbb0RxbKxrQG09d+5cBJ6xTinAg1luG88oZM0FOpYtjhlBPiFi%20MVyQ03B6J0C/O1yF3GmwvlhlxCNjqJuens6/fSNyW8RZDvivh/K3paXFWLeEariwsJB/151qvPn7%20crnRbW4pW2Q5KGURihZZaD6ILaR4UHhL6axzD1zodBd6wtiCHa1vA1gcuZSfSSNyWTRZLlCa33PP%20PYsWLerq6jp58qT5k2koxHHwJUuWFBUVeexPukiTZ//2LVY8053OkRsbG/FeMH78+PMD+F0xRLES%20fZYrKNM//fTT9evX1wU0NTWhWkCcGw9TSmKW20ipLI8Ss5wonBhmOVEoZrkNZrk+ZjlROMxychWz%203AazXB+znCgcZjm5illug1muj1lOFA6znFzFLLfBLNfHLCcKh1lOrmKW22CWE1H0mOXkKma5DWY5%20EUWPWU6uYpbbYJYTUfSY5eQqZrmNxOyura3N5/PNnz+/oaHh4MGDpwKwgFVsxEN4XY2m5zDLiUYR%20s5xcxSy3kWjd4dUqLi7+7bffjPUw0ADNysrKjHVmOdGoYpaTq5jlNhKnu76+vgsvvFDNK6wDjbGL%20TGzKLCcaRfPmzfP7/dXV1VVEsVZTU4N/YA888IDxr80do5nlMr2pyDk3p7g8pAk7GkuWZL4WRWYW%20N2+ULbbQ0lgKkZGRsW3bNmNFG3bBjliwODIREZG10clyydGgCcqwOm7cOGNFj9MIDJqyLPQcrFl0%20d9555w0NDRkr2gYHB+WYTi+EiIgSVkdHR3d396FDh/53zpEjR954440zZ84YLWItxhGik0kyw6l1%20KYwGMvk3WMwWikeNJW0yjECoO528HCy6Y11ORERiz549/f39xso5O3futP1rqoiNQpbLrXXbLA+a%20BXxEkUUg9gKn9/PBojv+vpyIiERKZDlIzR16fxsBL1U4HnUjy9GvKsfRF3a3KPpD2XZXVlam/3fs%205j9rdHohRESUsNrb25HcPT093ed89tlnGzdu9NQ9dkUSXZFolzvwQuVuOGhjLFkyd6SGCKjLjU3a%20NTpaGkuW3nnnHZ/PV1hYGO7z5W1tbUbTczSPTEREFGo0szx6numOWU5ERBFjljvALCciogTELHeA%20WU5ERAmIWe4As5yIiBIQs9wBZjkRESWg2Gc5RcZ4BomIiByKfZYbS3Hh7e6IiIh0MMsdYJYTEVEC%20YpY7wCwnIqIExCx3gFlOREQJiFnuALOciIgSELPcAWY5EREloLhmuZo73Fg3kVnLrCdCDeUoXNEv%202pvna5HZV/WnSnPUHRERUXzEO8shJycnKM6Rr9iOja5mOcgkbDIrGn6iU9muiVlOREQJaBSyHAuI%20bTXNKLZIhJuzHOmuGkjJPmL1HFm4WhzQGrOciIgS0OhkOaAl0nrXrl0qs1WWS/Us05kLtFHNzCII%20VxwHR8ZpYF/b+dGDRNAdERGR20YtywGNzTfbzXW5lM4S5xLt0dflSPGg8MYW1YsOR90RERHFR1yz%20POa83R0REZEOZrkDzHIiIkpAzHIHmOVERJSAmOUOMMuJiCgBMcsdYJYTEVECin2We5txnURERAmD%204URERJTcmOVERETJjVlORESU3JjlREREyY1ZTkRElNyY5URERMmNWU5ERJTcmOVERETJjVlORESU%203JjlREREyY1ZTkRElMyGh/8PFqidOCTXgrgAAAAASUVORK5CYII=" height="596" width="665" overflow="visible"> </image>
          </svg>
        </div>
      </div>
      <div class="fig"><span class="labelfig">FIGURA 2.&nbsp; </span><span class="textfig">Mapa que muestra la mutua solubilidad
        relativa en metales puros de fricción, definidas por sus diagramas de 
        fase relativos según <span class="tooltip"><a href="#B11">Rabinowicz y Tanner (1966)</a><span class="tooltip-content">RABINOWICZ, E.; TANNER, R.I.: “Friction and wear of materials”, <i>Journal of Applied Mechanics</i>, 33(2): 479, John Wiley, 1966.</span></span>.</span></div>
      <p>Tanto
        las combinaciones que se indican como completamente insolubles, 
        mostrando una solubilidad despreciable en el estado sólido (<svg xml:space="preserve" enable-background="new 0 0 15.748 11.249" viewBox="0 0 15.748 11.249" height="11.249px" width="15.748px" y="0px" x="0px"  version="1.0">
          <image transform="matrix(0.7499 0 0 0.7499 0 0)" xlink:href="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABUAAAAPCAYAAAALWoRrAAAAAXNSR0ICQMB9xQAAAAlwSFlzAAAO%20xAAADsQBlSsOGwAAABl0RVh0U29mdHdhcmUATWljcm9zb2Z0IE9mZmljZX/tNXEAAADASURBVDjL%20rdOhDkFRHMfxY2ZmBE1UNLNJXkBi8waSIpoXuNsJmmdQFA+gaaKqUEUUG0VwfW3nH9i97jn3nt/2%20aWff7YS/0lqrJCyHPgpW7y2jQ9wx8RJlDZwQ4op2pijLY22CYotyluj0JyhmqaKsg1tM9ImeU5RV%20sYsJigNqLtF5QlAsraJsYL5nE31h9DfK6jhaBsUZzciouZqVY1BsUIqKjlMGRfAVZS1cMkYf6Jqe%20KporCT3Yo/KJBp6CYvEGglZmTjihW6wAAAAASUVORK5CYII=" height="15" width="21" overflow="visible"> </image>
        </svg>), como aquellas que se indican como fases coexistentes en el estado líquido (<svg xml:space="preserve" enable-background="new 0 0 14.998 14.248" viewBox="0 0 14.998 14.248" height="14.248px" width="14.998px" y="0px" x="0px"  version="1.0">
          <image transform="matrix(0.7499 0 0 0.7499 0 0)" xlink:href="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAATCAYAAACQjC21AAAAAXNSR0ICQMB9xQAAAAlwSFlzAAAO%20xAAADsQBlSsOGwAAABl0RVh0U29mdHdhcmUATWljcm9zb2Z0IE9mZmljZX/tNXEAAAD2SURBVDjL%20rdQxS0JRFMDxG4ohOAU55CTkh3DyQxSNES2NOTiIQ/DQ1cXdyUkwB3Fxaaq2aoiguQYFcRDXsP4H%207ovL44pP3znwg7fcP7zHu8cEQWCimBTKqGOIN3xgjCYqOPSe9cTO8YTfLV5wuTHIHEAefmLEXB1k%20fcFgx5Cri/R/kLnAOkFQ1GzL5PCZMCamOJHgmUIsdCvBnmLw0dh/TCu4kOC3YlCYd8XYUoL3isFX%20CV4pBu8kmFf6jvK6pfCmVBWCbffqZTBIEHvGUXQ5HKO/R+wBp959aBdrA18xQjO03NXlXbA2XMA1%20Rpg7kRUmuEHRd/YPOv1zEqLSJOgAAAAASUVORK5CYII=" height="19" width="20" overflow="visible"> </image>
        </svg>), dan lugar a pares tribológicamente compatibles. Los pares de metales idénticos (<svg xml:space="preserve" enable-background="new 0 0 14.998 14.248" viewBox="0 0 14.998 14.248" height="14.248px" width="14.998px" y="0px" x="0px"  version="1.0">
          <image transform="matrix(0.7499 0 0 0.7499 0 0)" xlink:href="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAATCAYAAACQjC21AAAAAXNSR0ICQMB9xQAAAAlwSFlzAAAO%20xAAADsQBlSsOGwAAABl0RVh0U29mdHdhcmUATWljcm9zb2Z0IE9mZmljZX/tNXEAAAHdSURBVDjL%20pdSxi5JxHMdxLTJKQxBRcchBSHF2yqHBf6AhpC0SN0M4D8FcQqUhBcEQW9LFRQzCRDgQTjzhcPCM%207sAmEergHMrj0s2hT5/v4YXII9w9fuE96fPix/P8fj9NMpnUrMe5xR6z1+wL+8ZO2B5LsyfsnuKz%20Ctgzdmg0GuHz+ZBIJFAoFFAsFpFOp+H3+2EymcD/HLPQRpBzh73VarV/g8EgBoMBNs1wOEQkEoHB%20YBD4A7uvBL7T6/Uol8u47jQaDdhsNkE/Mt1/kPNcp9OhUqngptNut2E2mwXdXVqaB+x7NBqF2slm%20swKesYcCPrVarZhMJqrB+XwOt9st6CsBy4FAANtOLBYT8EDAr7lcbmuwVqsJ+FvAn2o+xvq0Wi0B%20Jc2JbNxtp16vC3Yh4KdQKLQ1mEqlBDwS8IXD4cBsNlONLRYLeL1eAd8IaONxO81kMqrBarUKGn9o%20Pbo6KTsWiwW9Xu/G2Hg8hsvlktW9Xz16d9ln+aHf718bG41GlzcSn+0x8/rlYGU1u92OfD6P6XS6%20EZL3XSqVrla2z5yK9yHn9vJS/eF0OhEOhy+3Q6fTQbfbRbPZRDweh8fjEegXy6xeXYoX7BK2s5es%20wc6XG1aSF99i4dVVrfYPbpAP8yFsEagAAAAASUVORK5CYII=" height="19" width="20" overflow="visible"> </image>
        </svg>) son, por supuesto, completa y mutualmente solubles. Otros 
      pares muestran diferentes relaciones de solubilidad, como se muestra en 
      el mapa. En general, los pares por deslizamiento con alto grado de mutua
      solubilidad presentan baja compatibilidad tribológica y por tanto, 
      valores de K relativamente altos; los de mutua baja solubilidad que 
      llevan a una buena compatibilidad tribológica, tienden a obtener valores
      de K (<span class="tooltip"><a href="#B14">Totten, 2016</a><span class="tooltip-content">TOTTEN, G.: <i>Surface Modifications and Mechanisms</i>, Ed. Marcel Dekker Inc, New York, USA, 2016, ISBN: 0-8247-4872-7.</span></span>; <span class="tooltip"><a href="#B7">Ludema y Ajayi, 2018</a><span class="tooltip-content">LUDEMA, K.C.; AJAYI, O.O.: <i>Friction, wear, lubrication: a textbook in tribology</i>, Ed. CRC press, 2018, ISBN: 0-429-44471-0.</span></span>).[9-10}.
      </p>
      <p>La
        mutua solubilidad no es el único factor que influye en la 
        compatibilidad, la cual está también asociada con propiedades de las 
        películas de superficie (usualmente óxidos) en los pares de 
        deslizamiento. La ausencia de películas de óxido significativas en 
        metales nobles tales como el oro, el platino, la plata y el rodio 
        tienden a estar asociados con valores bajos de K, lo que demuestra que 
        los mecanismos oxidativos juegan en papel importante.</p>
      <p>Algunos 
        metales con una estructura hexagonal compactan muestran también un 
        comportamiento anormal, asociado con su ductilidad limitada, comparado 
        con los metales de estructura cúbica y también con factores químicos. El
        titanio, el zirconio y el hafnio, por ejemplo, muestran una 
        relativamente baja reducción en los valores de K, cuando se lubrican con
        cualquier lubricante hidrocarbonado, comparado con el que ellos 
        presentan cuando trabajan sin lubricación.</p>
      <p>La dureza del acero y 
        otros metales que forman óxidos durante el proceso de deslizamiento, es 
        importante para determinar la estabilidad la estabilidad de la capa y 
        por tanto el mecanismo de desgaste predominante. Si el metal es lo 
        suficientemente duro para proporcionar el suficiente soporte mecánico 
        para soportar la capa de óxido, tendrá lugar un desgaste medio con 
        valores de K bajos a través del mecanismo oxidante. Así, la dureza puede
        tener una influencia en la resistencia al desgaste adhesivo de algunos 
        metales, pero también al incremento en la dureza en una partícula de una
        aleación puede provocar un decremento en el valor de su desgaste; la 
        dureza no debe servir como factor de predicción de la resistencia al 
        desgaste de diferentes aleaciones. Otros factores, especialmente la 
        presencia de componentes micro estructurales tales como carburos en los 
        aceros y el grafito en las fundiciones son, en ocasiones, de gran 
        importancia (<span class="tooltip"><a href="#B8">Martínez, 2010</a><span class="tooltip-content">MARTÍNEZ, F.: <i>``Tribología Integral,</i> Ed. Editorial Noriega, México, DF, 2010, ISBN: 978-607-05-0271-2.</span></span>; <span class="tooltip"><a href="#B10">2017</a><span class="tooltip-content">MARTÍNEZ, P.F.: <i>Mantenimiento Industrial. Conceptos y aplicaciones</i>, Ed. Editorial Cuba Azúcar, La Habana, Cuba, 2017, ISBN: 959-261-526-8.</span></span>) [4-11].</p>
      <p>La
        resistencia de los metales a condiciones severas de desgaste adhesivo y
        al daño superficial bajo cargas normalmente altas, no puede siempre 
        correlacionarse con su resistencia al desgaste bajo condiciones menos 
        severas. Varios factores influyen en la resistencia de los materiales al
        daño superficial por deslizamiento: la efectividad de la capa 
        superficial a preservar la adhesión, la resistencia a la adhesión una 
        vez que la película de óxido se rompe y la permanencia del enlace 
        formado. La solubilidad mutua como indicador de la fortaleza de la 
        fuerza adhesiva, juega algún rol; los metales que se unen fuertemente 
        son más susceptibles al daño superficial por deslizamiento. Loa metales 
        hexagonales con un número limitado de planos de deslizamiento tienen una
        baja tendencia a este tipo daño que los metales con estructura cúbica, 
        presumiblemente debido a su menor ductilidad.</p>
      <p>Algunas 
        investigaciones han demostrado que metales y aleaciones con un alto 
        grado de dureza deformacional, presentan una menor tendencia al daño 
        superficial durante el deslizamiento; sin embargo, este factor no es 
        infalible en el pronóstico. Por ejemplo, loa aceros austeníticos que 
        también presentan alto endurecimiento deformacional, muestran alto daño 
        superficial en este tipo de proceso, cuando tiene lugar una 
        transformación martensitica. La dureza solamente es un pobre indicador 
        de la resistencia al daño superficial durante el proceso de 
        deslizamiento en aceros; por ejemplo, una alta concentración de carburos
        o nitruros muestran una alta resistencia al proceso de daño superficial
        por deslizamiento, mayor que cuando se obtiene una dureza similar, pero
        con una baja concentración de esa dureza y con partículas frágiles.</p>
      <p>La <span class="tooltip"><a href="#f7">Fig. 3</a></span> muestra un diagrama comparativo de valores típicos de coeficientes de 
        desgaste K de diferentes materiales en condiciones de deslizamiento bajo
        diversas formas de lubricación.</p>
      <p>Las deposiciones de capas por 
        difusión, las cuales tienen una baja ductilidad, presentan una buena 
        resistencia a este tipo de proceso. Las superficies rugosas, 
        preferiblemente aquellas de estructura variable. (por ejemplo, aquellas 
        generadas por bombardeo con arena), generalmente incrementan la 
        resistencia al daño, probablemente debido a que el crecimiento de la 
        unión en este proceso, es limitada; mayor probablemente al daño.</p>
      <div id="f7" class="fig">
        <div class="zoom">
          <svg xml:space="preserve" enable-background="new 0 0 500 244.059" viewBox="0 0 500 244.059" height="244.059px" width="500px" y="0px" x="0px"  version="1.0">
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Eh7Vka2o%20M7FN9yuRjY0NuTjakN5U6sDoskzD5CVFaVAaiISTkxMr6oyExwR1bm9vT34nvGyx9Obs7Gx0dLS3%20t7di7kgZp2HykqI0KA3EZL6Nu6ONVKyMKbs8PT2t1P7617/+6U9/murCL/s0TF7SalOazygLKAtS%20l7Gxsa2trffv3w8PD5+fn/f09DQ1Nb18+XJtbU0V7aQluLW1dXV19U9/+tNf/vIXpXN2dtasA5Qu%20Li4uRkZGOjs75U0eHBywVgLEA0oDZaampkbezMzMzPHx8c7OTktLy+bmpkz5kydP3rx5479cafx8%20//vfl94onZJGJXJ8fNxagy7hSLwnJydVqg0NDaenp2Wc7Q8oTaKpr6+/vLzknlUwjY2NQ0NDMuVy%20dKQ919fXqoB//vnnL168WF5eTo5NVzqNNNbW1sp2DwwMWOufJhD5XtLstrY2bSvNZZ/tD1VImpo+%20ZWt2d3eXlpbCL4UY49MYyXzw4EGuX+3rvlTq+mOFVsatwDMqjS+//LK3tzc5PToJHxKdzGmYRaAK%20RwLbVMEfPXKqNaI04StN3vg0mW+HAHDz7t07q/JuliMz2/ZQNI8ePbJupDUy1R7DplJRucms//GP%20f9T24OBgd3d3ciZ/mCHRul8JGaIWWzRMAHyauJUmOsyiyw4xu76+lhrZBcwRn8Z4SJUnQsqpfEcZ%20dymNvJzkxDozQ9R0g+TfDA0NlWXFsORPwwSUBqVJN474NMZDMiJkOUDt7e2Zb5rm0r5QZjablYuT%20tFhnZlUbeRX9/f2SnNhUMC3TMAGlQWkqFhMXwNgjfZogaWahTOP0yFg3NDRoI439Q1ass66uLiM5%20SSjwhYUF+V4dHR1Rr6KWrmmYgNKgNNWIcXrkBp2fn2vDCJIJiXb//v0UxaeRG2ckZ3t728Q6K7vZ%20jXrIQBqnYQJKg9LA/ztA4vLy0h6fprGxUX6PCRaQ5GY3pdbEOpMhHhwc7O/vL7tShj5kICHRMAFQ%20GpQmzLq5FZZGN8KKTyO/p6Wlxfg9CUy2Erm4uCivQkmV5JQ9nLM1ZEB6I3korlcpUdEwAVAalCZa%20stmsTOfR0ZERIXt8mkR5PKYJS5IjG21inZV34IDKyrgjEr+hoaHg/lYCo2ECoDQoTdxOjxWfxrS2%20mTABIiFDDE5OTubm5mTiYx4V5u+ayN+amJjIq80VMw0TUBqUBkIzo5bw6NOMsbaEp7yVcTMqTJKT%20hNiaxt+amppS+eQaMsA0TEBpUBrIz9nZmRwdozpCYmMiBZR32oceKnkJciakN2UfpWaGDEh4pDfW%20kAGmYQJKg9JAkWSzWbOUmRRIeiPVMePZypIYJUN6889//vPJkye/+MUvyit+kmHpjT57enr+9re/%20ffe732UaJqA0KA2UhLWAprSnpqbGiooWf/OaNE/2XZJTV1dX3nDOcv7kY/3jH/+Qf/Ozn/2soCED%20AAkkTVEDVOGVLeCeVRgy6729vapAnJ6erq+vt7S0rKysfP755/HHp9EDppQcHBxMTEwoDQ8fPlTl%20JuZwZ3rCB255+fLl119//a9//Us7TWACHn5IMZ/Sw87Ojiq8UZw5XeVQJezt7Y2NjZlBa0aK3r9/%20H2cCjo+P+/v7JT+vX7+O4dL//ve/X716pcspp46fPnz4oJ36SW6W3gKeDUgdxNyEhCKNkYmX3sjX%20ef78+e7ublNTU09Pj/yMeOKUNDc3y74rAdfX1/JvRkZGIvIq8kbDrKmp0U791NfXNzU1pSPX1tZ4%20QoDWM4Dwm9fkWMjUxiw59fX1EjxZeclAZ2fnwMCAFaahdAqNhml8mpmZGRMAe2FhIebGPQCUBiof%20mdqySI68CsmA9Ka9vV1iI8nZ3t4u8ZzSCblKcpgODg7k0wQfASFvb3V1VZJzdHSkM+i/yYl7DYDS%20AJJTKv39/WbIwNzcnBkyUMRJ1tbWlGDpxN7enhym4mb7NzY2zs/P6wyZ2yEDL1++ZMgAoDQAsUpO%20pM1KHR0dW1tb6+vruuIXX3zx5s2bgAonT6itrW1zc1MeiXSi9LHLOoN8muPj45aWFnlaynuco/UA%20gsLYM8aeVRgSABMjYGhoSCY4hjFjY2Nj8jBM85r/09vV1SWXKNK8m8V+tMGTAMkBpUFpKhN5OXIa%20mpubZdxXV1djuNzMzIz0xjSv2X/SVzleenRjG6C8t7enK5rmtQ8fPhT0XxYjSCO6aygNSgPlZGtr%20q7e3Vy6OPA/5H1FfbmlpSa+9aV4zQ5b1tSwehq4ur056U1CueRdS6TEk/q6laRWWbDY7NTUlvQn9%20zMWtRmMWy/JpQH/w4IHP3+3xkmWMWAQ+Ui4uLpaXl+fm5qQBfX19cnQivdyf//znn//8519//fVP%20fvKT3/3ud2XM+NXVVUGPFiszpZHk3zWUpvj7ZMKx+Ji2k5MTn7+/e/fOGpxqorlYvc1mo6am5tGj%20R2bbLLlvtsu+5H6qWVtbW1lZ0a0x8dBCF3h7NEzpmeoiqpFoW+5FKioTKA1KEwV3uUlFY5aDjEJQ%203Up2fn6+ublptrVTP8kfMlFV2tvbLQ/JLkjgSe8tZ2dnZpiyxEAyEEqh2aNhHh8fm9rA0tKS6hO6%20VltbW3d3t67Fyv9QjVqIT5PSepzlMxllMh6SKtRmBrvxe6wWPKOIZY+/kjRMCLKJiYkf/vCHJepN%203miYujVW811Y2oZPA2m5a2l6qlSXHxkZMVPVeLvylpXMqKVGu7u7RpOMJyQzd//+famR5RhVOUYD%20VBqmyaug/xYaDbOUa2GzAKWJnLOzs87OztPTU96uEj0h+T2Xl5dSI/NVwiPD9+jRo8ZbqrYfaHt7%20WxqgMjFdOEGOLzoaZqHXwmYBSoPSpBsJj0yehOf8/NxEA5PSSH5kQxsaGsxMwOrRHpWGNEBKMDo6%20mmvIgGnIVZmUGA0zyLWwWYDSoDSVienvkbsj7Xl7i+rsMqktLS1SnWoYky3pnZ6e3tjY6O7ulgxY%20zWIqFmmMymdiYiKsfq9c10qmzdIBZsNxWK79FfkOJi21KA1KUyGYNrejoyOpjjbMIDcJj6xtBQuP%206caXDHR1df34xz/+wx/+oLxLY6II/Gy/VhmHDAR5F4yoeCqNz399zpz3v4kqh3SlFqVBaVKM7sXh%20Lbu7uxUvPPI5+vr6dnZ2mpubf/vb30Y9hK+8QwYCKs3/Zn3bjnTvKfTM6fIS8GkKJkUrLkhjGhsb%20WY0mmbdmfX3dNChJZmSRh4aGVldXY1j9JerVzJQpPXUzMzNmYRsjpe4AzFEsoiOZie5aypHnWp9B%203gWrRu+zxzJ89m3HX9xn8PzJ8++OnY4Dch1vP3nMqfX51XOP55nTa8FQGpQmfI6Pj+fn581qYylV%20nQ8fPpgRZVIaxyKVMtD9/f1GfiRFkSbDXEvFGO61pF46bdHvQhClsVttT+tcykYui+9/RYcsBb9W%20WKkNeCG3aqI0KA1UoOoowXrSxsbGfIy7nsZXr16Zw6LOjs5vrqXP0q/lIzOF2rVc9trRkuN55ly/%20ev7RJ1WeIleolY85tcHFEqVBaaACVUfp0TOmhAVMlaRIro+yI9sddSwcE5jAXKvoIDdbW1vd3d0+%20oQRCVJri/A//RqcgSuPTqBW6t1RcalEalAbKoDqtra0TExMxRC3zN8FKhtLjE83M31EwsXBiCEJj%20AhMUca28MhOF0ngeHGJ7lKf/EXB/3o3QU1toMx1Kg9JAaKiGLqWRpTYNRLFFDDOEGA0z5iEDko3g%20nTfK3ePHj/MGRsv7LuRtR8pVr8/VDZ63ASrv8KXihg988hoFEE9q8zbN5RrpkF4LxihnRjkn6xZv%20bGxsbm4eHh7KjD59+lSf0S1PEMU0zMw3M/+z2WxEgQmKS9LIyMj6+nrexPAupBHm06A0UAyy/pKc%20r776ant7Wxrw/Plz+RwhTp7XsySNiW4aprmE9Ea56O3tleSUcea/UtLT0yPXLYjm8S6gNFHwGTcJ%20EohsorwBM16gr69vd3e3ra3tyZMns7OzspulnPni4kK1e1VZ2tvbDw4OIpIZYYZB6xK1tbVK/MDA%20gH9kvOhkRpcO4s0AREiKWvPfv3+vt4V+mqplb2/PDPZ9/Pjx0tJS3i4H9/Njn4YZM2bIgIQtzl4o%206bTKqqAxDrwLaSTDiIBUFChvV+okx/R/6FPbeY/3mYYZM/ItzJABuWsx1Mx0rUKHOfAuoDQoDUoD%2039IPOQqqs5sIMblmwASZhhkzsv69vb3Gu4pI+YqTGd4FlCYi6KeBtFJTU2N8GjkK19fXbW1tL168%20WFtbsw7QdlNT09HRkY6RFCWno8L4NDs7O+fn50rh+Pj4xcVFiOe/ublRUciBS2wMaai6MQufUjXO%20JKIhFoy3qQwkLZubm9ls9gc/+MHf//532dkiomHGzNXV1cLCwuLiolyQ0dHR0oNtG5kZHBwsbh3o%204t6FtLxBVjo9E+z+1f+w5JQJo5xRGogVycwvf/nL//znP//973+/853vfO973/vVr36VcLEx8iCZ%20nJ6eltIMDw+XMrmnp6enr6+v6DF1RbwL9ngtCXyV3EnyDzBTyq+FHobSoDSQMtzTMP/617/u7+//%205je/kXMjd+Hx48fJz8XGxsbc3JxyoQT39vYW+veBgYH29vb+/v6Y3wV/JyCBRiOGUDr4NN+Cji96%20QdPO6empbKvkZH19PdeIr8e35DogaRQ3ZGBoaGh+fj6ed8FhPTI5lk7xNzK5js/kjtSSCRDExb7H%20ccKMa1mzTIFxBz4FC04Ts1XJMPYMpYHosJbTD7LO2N7eXnd3tw6WOS7vWOfgCqrc1dfXBwlMMHFL%20PO9CptiwLgFP4ildDgvuLyGfcocG8NwOuMdnp89hKA1jzyCtXF1dTU5OPnnypKGhwfg0ef9ifJqd%20nZ2jo6OHDx/q7+GO+Aod49McHx/X1tYqpz6rDCgv1mc8DSF3bgnrMP+fPrnWxPSUnLwX/eQKJ+Of%20DM+EOdIQ8FqA0sRNWZYkqSRubm7evHnT1tambVlh1foLNd/yaeTfaFvm++XLlyUubxM1dXV18mmU%200/b29p5b3r59az9geXn5/Pw8NpmxegWC9IoHOawsaUvdtVIPrWcx+57WMNbW1lZ704epbgeZ8V7N%20hDsN88OHD+aEvb29aSl5PSdDQ0PWV/8AmuVqPcvkjltTUOtZQa1hRSepiCa4TIC4NXEa2AxRA1Ix%20xKIsIzfk3BjVubq6mp2dvby81J76+vrV1dXM7UKQL168MILU0NBgau6qzmt/8sfsRsHa2tr4+HhX%20V5dUOfR1kXXyubm5mpqa4eHh6NbcDJ3t7W0le2trK/53IVeTkWN0r/2wT14DwBz7reM/fTOSzX1m%20+4b7iu6LOv7oefJcOXIfYF03Vwbdh8VgXhjljNIU3w9xeHiojbdv38oCGqWRzDx58uTs7Kyurk42%2012iSESoJknbqyFSM5S3UnkpjzJIzkapsNpuV4TahBOTlRBcXJ6xiWVxc1DMQbjpTNOKfyQkoDUoT%20OTKIZq0RCc/y8vL+/r48Hpnj+fn5zDeRr6Q9LS0tss6lTLAoIzL9U1NTsqTSmNgWVjGha3Tpvr4+%20CXwyF9tX8qanp9fX10OXQ5QGpUFpMl988cXBwUHojSeV98gal8h8WkqjWvCzZ88yt73i3d3dMzMz%20xrDKbTJFKn8oIRX5iKJhBkfuo1kkRgU1OjqaqBbL4AE0K/hdcLR9oTQoTZg0NTXt7OyE/tpXW+Xo%205OREDpDlEtlXeFTxZm6b7LRTwnPv3r2YXaIYomEGR6Ukf1Heg4pieHg4CS2TkcoMjgJKg9KgNLHW%206KVG2Ww2czskwVh82dyBgQF5P83NzU+fPh0bG7OO1IZ2luhr6lSy6RsbG9KYpDX3JWTIgAmgubS0%20FJ2PxbuA0kRCuga56gUrKIAgawREMS1fYn98fGytm9LV1dXR0SGZsYbbbm1tyRybWevWkXkH75Yr%20GmZwlHGzykARET9DWTJA5RzF88+7kHYyjHLGp6lOl0j+kHydjx8/NjQ0DA0Naefs7OzIyIgZI9fX%2012e8lrNbzJ29f/9+wod72dv3Yh4ycHV19ezZMxMiutprx0DrGUoDec20aLzFtMitrKxkbnuGRkdH%20zUR37Tw6OqqtrZXwmIUmk6mmsQ0ZkMz09PTI4YthAB7vAkqD0qA01aJGa2trNzc319fXLS0txvuR%20CJmeeW0PDg6aFfUduhU/9iED0psolECXkDfz+vXreMYj8C6gNJFAPw1t02nh/fv3O7dYCxurmm+6%20iHQHgyznHB2rq6uSGSUm3MAEHz58kM+0tbUVW0aSOX8I/NFdo58GnwaqBbPKwMnJiYljVnq3k7yZ%204eHh4uI0AyQH1nIGCA3j04jd3d2HDx++efPm6uqq6LMNDAx8+eWXyAygNADgpLm5eWlpaW9v7/r6%20WnozMjJSRGCC0uM0A6A0ABVOfX3969evT09PGxoaOjs7X7x4YZZMDcL4+PiDBw+QGUBpACA/Zh1u%206c3z58/lpkhyNjY2/P8yOTl57949swQDAEoDAEHp7e09ODiYmJhYWVl5+PDh8vLyzc2N+7DZ2dnr%206+s4A2gCoDQAFYX/kAEzZdWssQ2A0pSNxsbGhEd9B8iL55CBjY0NyY/2Uz6A0gBAODiGDPz+978f%20Hh6mWAClAYCQsYYM/OhHPxoYGMBlB5QGAKLCDBlI5nKiACgNAACgNAAAgNIAAACgNAAAgNIAAACg%20NAAAgNIAAABKAwAAgNIAAABKAwAAKE3yqKmp8YzqAQAAKE041NfXX1xccNsAAFAaAAAAlAYAAFAa%20AABAaQAAAFAaAABAaQAAAKUBAABAaQAAIJHcTUUqs9ms2bi4uHj37p35WldX19rayi0EAEg4dz59%20+pT8VPb09GxsbDh2zszMvHr1KpxSuJOOcgAAQGmi4vDwsK2tzb6nvr7+9PS0pqYGpQEASDjp6Kdp%20bW3t7u627xkdHQ1LZgAAAJ/G6daE69Dg0wAA4NM43RocGgAAfJoI3RppjBwauTVhlgI+DQBAZNxN%20UVqNW9PY2BiuzAAAAD7Nt9ya+ltCLgV8GgAAlCbaUkBpAAAig9VoAAAApQEAAJQGAAAApQEAAJQG%20AABQGgBPBgYGyAUJBsgFo3tvSyHeUc4yEEtLSxQguaDYAaVBaTAQKA0JBggBWs8AqpGzszMKAVAa%20AIiQ5eXlpqYmfVIUgNIAQIRuzcDAAHoDKA0AoDeQeuhR/B8dHR27u7uUA1Q5jY2NOzs7+qQoAKVJ%20f6Ez9oxclDvBk5OTU1NT9j39/f0TExPIDETBXYoAoMpBYwClAQA0BlLeYEDrWRkKndYzclHuBGez%202cZbeB8BpUFpyBG5qKIHCSoVRjkDAABKAwAAKA0AAABKAxFSGR3LqcsF/fmQFuhRBAAAfBoAAEBp%20AAAAUBoAAEBpAAAApQEAAEBpAAAApQEAgGqCqAH5uXPnjj6tiUfmq7WnGlY5tLJsz7jPwQkpEEey%2086Y8maVdSrJZghPwaVKD4101X62d1fAmW1k2uE2hj5VMTrL9U57YZIeoWFH8BQClibamCXlVGcpY%20pNwLQGlS+cJ7io2102zcucVxgBv7T0H+nmQB9kyhY6eVuyRkKtct8El2uW6KO53uxPukP8gdcT+B%20aXn2IEXQT1Ow2Niriu631NF5Yz/evtOhXnn/noQGd0cHVa7cuZMdpHDicUathin3LSgi2ZGm3903%20lquDMFf6HWfLmzXH452oZw9QGrTnjqcIlahh/o5Uwptx3D1buRQ65mTnvUcOWSrjTXGoiH96ghRs%20kFP5qx0AShO3tBRxfBE65K63Vkwxpjdhcd6UQgvK5/giyhxXBsKCfppoX36rXcLzX+6W8aoiCRn3%20vAVJuyP2xi7PLrHgBRskawkvDUjly061JfiL59PjksuJyTUTxdHm5vkXz/aThJSA/0+5suDOfsxK%205k6ku3PCM9lx3hSfh8q+4VmMudIfMGueU8cwEYDSpEClCuonAACoPGg9AwCAaGFEQLQ4GtBwaAAA%20pYFIxIZCAIBqhtYzAABAaQAAAKUBAABAaQAAAKUBAACUBgAAAKUBAACUBgAAUBoAAACUBgAAUBoA%20AACUBgAAUBoAAEBpAAAAUBpwc+cbMiXHirf+XmIE+xCzVuIxec8QVomVpXwAYob4NNUrM45w8aEY%20TZ9gPLHF6YlBZkrPjuPvhP0GfBqoZJkJ3WiWnSDp8T8m/hwhM4DSQOVjt3T2VjV7Hd+xM9eeXOfx%20+anQS7h35jo4107PX/Ne3d7SmDc7/skurjQAUgqtZ5DT3THbltUz+z03PK2n/VfPnwq6RK6L5rqi%20e6en32Bd3bHt/q89kT45DZLs4koDAJ8GKtzdCdIBk8uUZ4K1Vnkek8ttCt4hVLRn4DiPPZE+ObUU%20y/OiJZYGAD4NVIgrk0Cdc3zNKzY+Z4izMGn7AsCnqWo3JVcDTnGG1ceqhmJtHQ10/qn1TE/wAWlF%20J7j0MW8AFVuXxUmvZj/Gs9bv2O/ZjeHwLRy9F27Pw+ecAS/hn2aHDrnHcAfJo+cfi0hkxmvkdyil%20AYDSAAAAeEDrGQAAoDQAAIDSAAAAoDQAAIDSAAAASgMAAIDSAAAASgMAACgNAAAASgMAACgNAAAA%20SgMAACgNAACgNAAAACgNAACgNAAAgNIAAACgNAAAgNIAAABKAwAAEB7/J8AABOwJDWV7qgEAAAAA%20SUVORK5CYII=" height="267" width="547" overflow="visible"> </image>
          </svg>
        </div>
      </div>
      <div class="fig"><span class="labelfig">FIGURA 3.&nbsp; </span><span class="textfig">Valores típicos de coeficientes de 
        desgaste K de diferentes materiales en pares por deslizamiento bajo 
        diversas condiciones de lubricación.</span></div>
      <p>Los materiales 
        cerámicos sometidos a deslizamiento moderado muestran coeficientes de 
        desgate tan bajos o aun menores a los de diversos metales. Este hecho 
        unido a su alta dureza, muestra que los materiales cerámicos pueden 
        presentar valores significativamente más bajos que los metales. Sin 
        embargo, el uso volumétrico de los materiales cerámicos presenta algunas
        limitaciones en las aplicaciones tribológicas. Sus propiedades 
        mecánicas (especialmente su tenacidad a la fractura) puede no ser 
        adecuadas para requerimientos que son necesarios tales como su 
        producción en formas apropiadas (las cuales pueden realizarse por 
        metalurgia de polvos, generalmente con un costo elevado) y también la 
        posibilidad de fractura superficial a escalas pequeñas pero lo cual 
        conlleva un desgaste severo, todo lo cual requiere gran cuidado en el 
        diseño. Sin embargo, los componentes integralmente cerámicos pueden 
        resultar muy durables en los procesos tribológicos; por ejemplo, los 
        bujes de aluminio y los sellos en las bombas de agua, los componentes de
        válvulas de nitruro de silicio y los extremos femorales de alúmina, así
        como elementos en los implantes de cadera.</p>
      <p>Algunas de las 
        desventajas del empleo volumétrico de los materiales cerámicos en 
        elementos de pares de fricción, pueden ser evitadas empleando el 
        material en forma de depósito en un substrato metálico o por depósitos 
        cerámicos proyectados por polvo en forma de plasma o por depósitos 
        físicos al vacío (PVD) o químico al vacío (CVD), los cuales son métodos 
        que conforman un grupo importante de ingenierías superficiales. En todos
        los usos tribológicos de los materiales cerámicos, es muy conveniente 
        el empleo de la lubricación ya que reduce la tracción superficial y por 
        tanto la fractura local que tiende al desgaste severo. Sin embargo, la 
        posible reacción química del lubricante con la superficie debe ser 
        tenida en cuenta.</p>
      <p>El empleo de materiales poliméricos es poco para
        su empleo como materiales resistentes al desgaste, siendo comúnmente 
        empleados como cojinetes de deslizamiento, a veces en condiciones de 
        deslizamiento seco o límite. Sin embargo, algunos materiales 
        poliméricos, con suficiente resistencia, pueden ser empleados como 
        elementos volumétricos en las aplicaciones tribológicas, siendo 
        significativo el uso del nylon (poliamidas), los sulfuros de poliéster; 
        además estos materiales la mayoría de las veces, son empleados como 
        composites base polimérica, fortalecidos con fibras adecuadas. Estos 
        materiales son empleados en engranajes de baja carga y también los 
        polímeros reforzados con fibras de carbón se emplean en algunos 
        engranajes en carros de carrera, en donde se combina el bajo peso con 
        buenas propiedades tribológicas en comparación con elementos similares 
        de acero forjado.</p>
      <p>La amplia diversidad de la existencia de 
        materiales superficiales ingenieros, permite a los diseñadores, al menos
        en una cierta extensión, emplearlos en vez de materiales iguales 
        volumétricamente en la superficie.</p>
      <p>La <span class="tooltip"><a href="#f8">Fig. 4</a></span> muestra el amplio rango de combinación de capas profundas y de dureza que pueden obtenerse superficialmente por estos métodos.</p>
      <div id="f8" class="fig">
        <div class="zoom">
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/01Nb6g3%20dCdL5VpP4EWEhKTHNztTsPAaoguDXRreuXMHOUJw5ApA41tFCK/EqNt3BS8iJCSr3/Xr12cGCyoQ%20RSG/ffs2coXn1z9y5Ai31ILhjG+rGk1Zsiz3/ynML168yKa+v3///vjx42Eg0u3Xrx8Cbj8/v7i4%20OJSEh4c3adKEvW7j1KlT9vb2qII9aNAgiNq9e/dg6zRqjU/0eHw3K1TIrmiRJFOX4sV4I0LtqHV8%20s9vneonM2/Kk07DSv91PUAVPnz5m6cmT317STqh1fLOwXi/R7PiWfI/i5Omp1i9U+0m6Ow4dOiTc%20npwwYYKxsTEMVoL8+fPnkppU8/DhQ27pHZod31+/ili6dUv2C5W+po+IiOjbt6+rq6vwTpPs2bMj%20Z/e/k1Of0qVLS7+Hmv23K3fu3MLLOsqVK8cMLSTZw71QoULMSPL3eUlNqvn+/Tu39A5N6zeRNMmO%20b1VA45tQM2od33qMZsd37DVHluYP/Mu7SQ0NPR/fL1/iAyabkpsYUgE0O77bN63NUqVyJViJ8KgG%20gslbt27BiIqKKly4cO/evVm5gYCvOQn+fDAwtY8KaglpHN8YJYsWLVqcFAck12QCFJ9oJ/iakybl%20578lNanj58+f3FIjaRzfXl5eiW7rhLO/dGLzHQpodnw/evRYSPfu6e2PDAqArzkJPn36tHfvXma/%20evWKzebD7iLt2rUrNjZWUpM62A/CasZAxreoeN//p2w1eSkh+ZrVBI4Zbv2NLiuedFh4M7lkVlE8%20K4ucGEj8LSo+8P8pG/9rlTBljb29/fjx4y0tLefNmzd//vwiRYog7lqyZEnFihXHjh3L2ugr+JrV%20hPzju7PDfeGBuD+TqVVj3k4ODGR8E8mBr1lNyP/jvBLHt9qg8a2dJDu+Q0JCFixYAGP58uXIbW1t%20JcWKo1vjW5Q+829BbcrJfEDnomYyw1pIGN8iiyFIfNWq5927d8zYuHGjPP/punjxIrf0jmTHd3R0%209Pr162Eoa3xfuHCBW39Dh8Z3BvOeoiLdRUV7tDUt1MO8eJKpn6WFqFgfJKw2+HfYtlRH7ty5kdep%20UydHjhwfP3709PTcsGFD+/bts2bNunPnTgTooaGhvXr1QjOUKPxYvzajvvjkzJkz3PobOjS+ixct%20zBdIPTExMdwiVIY2ju/Gw7bVH7AmuZTPQvzva1WjlPHt/eHDrRvXk0tXL19+8uSJ299g/5lKmUEl%20LIXUu1hRXkqoc3yzP0HpCvLG31mKikTGySdR5YXb0pgqTHfk+5Q80uF+DxrfUiQ9vn18fNjfilev%20Xg0JmTlzpnDJojDaPL4LFSq0/b29/Ikv9jcGDBggM1gVSPKM78ElLIXU5/fxbWpqWqJEiXHjxn3/%20/t3b2xvfJgrz5cuHvGbNmixAB7gS3bx58+jRo7dt28ZKihYtyp77B+xh6apVxX/uZLPC6wpJj2+M%20bGgPe+aE3UVJ+/Xl0qVLuaV9mJmZrX1mJ3/ii/0NXLrJDFYFkjzjm0gO9cUn7L/c2omKxneHjh1N%20KlRPY/qnXGW+OiL1qG98T5kyhVvaB8b3jg9d5E98Ma1BscPPEFDf+B41ahS3CGWz/G5r6cQKra2t%20hwwZwh72FB5uw6VUQkJCnjx52rRpg/gzY8aMbHZwlJw+fRqG8JhnkSJFcNgz28/Pb+TIkTBYRN6u%20XbvIyEhJDZ91dfbs2bly5UJwj2YWFhasSngOLyQkhBnqh8Y3oc8kO76F57+nT5+OA124rFYY4e/W%20hNK5cdVVOvFSIrnxfezYMZFItG7dugwZMuzevTt9+vS8Ig3Q+FYd0vdbqjjs4aWEOuMT9rZBQhUk%20Ob7ZU1Nz587NlCnT1KlTIVgrV65ECZsafPLkyTt37hw+fHiBAgUeP348Z86cnDlz1qtX79OnT23b%20tkUbLFi0qM7/VETjm9Bn1De+e/XqxS2CUBfqG98DBgzgFkGoCxrfhD6jvvE9evRobhGEulDf+B42%20bBi3CEJdqG98jxkzhluEkvhE/AfvkT+g8U3oMzS+1Q2b6U6dGBkZccvwUN/41ubnYxVA4UGj8Pgu%20UYLPDZta0j6+RSJRv379EhISuK87qG986xk6NL4zZMjALUXJmzcvt3QNGt8K0qaNumeS79+/P7cI%20uaHxTegzNL4JfYbGN6HP0Pgm9Bm1ju9jx4716NEDxvDhw48ePfrt27fMmTOzKjlp3br1iRMnmJ3a%2016Q0bpy6iQtFkvfZrl69etWqVaxEHth/nSZMmLB//35HR8cjR448fpyKd2Z37NiRW5LX9Q8ePBgX%20svjIwcHB6LHx48fzuqRgO7xlyxZhKo5Dhw6NHDmSdVpERATWgJ5nVdL8/Plz06ZNQUFBzs7OaLBh%20wwbhrbB2dnbHjx//9esXvrtu3botXrwYLVmVTqBu/a5duzZyc3Nz5B8+fMCXISmWF+m7cmwqJtVR%20v3595Ddv3rx8+TIrkQeMAORTpkyJjIzs0kU8k8TZs2clNYrQtWvXLFmywPD19UVuZWUlKU6aMmXK%20IPfw8BDeLZOQkIAjhHUam66W9fyfrF271s/PD4aFhcWjR49OnTrFytnhymZ6ypYt2+HDh1+8eCGp%200Q00EJ98/vyZW4qikVf5ELqIBsY3QagNGt+EPkPjW/ngQi0wMJA7hEah8a18MmTIwG5lzJgxo0aN%20GszGRZulpSXsRYsWSVqJadOmTebMmdmbiU6fPo3LR9aYzX6WLl065D9//kQhKFasGFwiVdD4VjLs%20VoNgIK9SRd4XTsg8oMfGtzTCygk5ofFN6DM0vgm9hQY3obfQ4Cb0FhrchN5Cg5vQW5Ie3IcPH0bO%20ng2SuQlF96QIXSHpwb1jxw7k5cuXZ68YtrW1Zb8yREVFrVmzBjnGfe7cuevWrStuTRBaSdKD+8CB%20A8gHDRp09epVGIULF86aNaukJvHWrVsrVqxwdXXFcK9ZsyYJOaG1JD24MWSFUctswGyhRHAJQjtJ%20enAThB5Ag5vQW5IY3JGRkY0aNfL3928gISQkpG3btryOIHSHpJV7165dyF1cXG7cuAGjTp06kmKC%200CWSHtxjxoy5fPnylStXYLO/rBKEzpHE4I6Pjx83blxsbOzSpUvhpkuXTil3RX78+MEtglAL6rug%20zJMnT8uWLblDEKpHTYPb09NT8p8pEU4LvIhIM/8QEvz9/XmP/I6aBnd0dPTHjx9h0DwkhNJJ7mU6%206gtLgoKCuEUoFTs7O24ZKjS49ZYCBQogDwgIKFiwYLFixWCkS5fOwsKCXcEXLVpU0kqf0fzgfvjw%20IbcIpWJjY9O/f/+aNWsyF0bTpk1RyEqaNWvGyvUYzQ/uVM2DShDyk7rBLZI8vQ28vb03bdq0du3a%20NWvWTJ48uXfv3lu3bk1ISNiyZcuIESNYGzmhwU2oiNQNbpzUmHHz5k3ktra2379/X7JkCRv07Hae%20sbGxuIXc0OAmVITmB/fTp0+5RSgVj+fvfwREs8SLDIzUDW5LS0tuJSaamZkhr1KlCpvtLleuXMjz%205csnrksNx44d4xahVB7fe+X3IZAlXmRgaP6Ckga3ipAZ3NJvdmY/nH3+/NnHxwdGTEyMpFgMTsXI%20haeGXr9+/erVq2fPnjFXQCj59u0bci8vL39/f2Ep1L59+9bPzw+Ls5ahoaHI379/HxERIWkifqYI%20te/evYPt7u7OCiMjI1++fMlsT09PtizLo6KisE7Y0rPmfvjwgf3jMUlocOstgwcMHTtqAktw58yZ%20gxyjAR3+9evXoKCg3bt3s3eJVKxYEXmmTJmKFCkCAwh/jRV+hUAtcmtra+ElxRkzZhReQsKOnJIl%20S7KH6kD+/Pnt7e3Zq0i2bdt2//59DP1Lly6tXbuW3Wi/cuXKP//8w4LYUqVKIZ83b54wygHbYQEs%20yzY3depUNPPw8Ojbty9cHF0bN27EEShp9RuaHNzsQD937py0S6iBu3fvckvZNGnShFt/Y/ny5dxS%20GZof3CdPnpR2VQ30JjIkIbnExIDQDzQflqxcuZJbagGDW4hE/0w0uPUJGty/JX0a3FX+XV5v6E6W%20eJGBkbrBHRsbK1xZR0eL754iRyEMXMxKilMNDW4V0Wz84fbzXFniRQZG6ga38PP7tWvXkNevXx9j%202sHBQShXABrcKoIGd+oGN6752Otok/yFUjEmTpzILbVgyIO7bNmyzEgVyQ0R7SfVMff9+/eRu7qK%20+6tWrVpxcXFpVO7Ro0dzSy0YzuAuUaGWVY2mLLGS0qVLs4e8q1WrZmJiAqNBgwbsVWnx8fF58+aF%200b9/f09PTxiMQoUKMQMq1rp1axjCvXDtJ9WDWxql3Lyjwa1+hCGr36RpcCsFPR7cU6dOtStaJLmU%20/o/37hHKxeAGd/r06ffvOZpc6tGjB2+nDCZNmtS/hGVyiQa3qtH84G7Xrh239A7NDu7Hjx89ffqY%20JV5kYGhycF+9enXNmjVWVlbr1q1jLyTRMzQ7uH188CUKyRAh5VYhNLg1Cw1uFaJtg7tq1arIhw4d%20ijw8PFxSlgTsGWtG4cKFe/fujXMseywWWFtb586de+vWrewRbVw0s3JpcDbmlkZJ3eCWvp/N7Dx5%208qCz4uPjFb7VrceTfGt2cD98KPr6lSdWUrp0aR8fH3t7+1atWgUFBWGANm7cmI1RsHHjRuSzZs3y%208/MbN24cK/Ty8kJ+8eJF9rQFw9vbu2HDhszu1q0b8s+fP7NF2H8XypcvL67TNKkb3AkJCWwQK/EX%20ygoVKnBL79Ds4FY60oquEygYltDglgc9G9w6RyoGd2RkZNGiRdm/jMLCwmrUqOHp6YnzGsKS8+fP%20V6pUiTVLLTS4CRWh+QtKGtyEitD84DY1NeWW3qHZwf324MzYa44s8SIDQ/ODO7WT+KgBZf2bkwa3%20ZjHEwT1nzhxfX1FyKSBAaZ9d2wZ3zpw5N2/ezGwBXD5xS+8wxME9a9YsyQdMISkHzQ5um1qV2jet%20zRIrKVOmjIeHR+fOnU+fPg03e/bsTk5Owiw5+ofmBzfkhFvqwkAGN5Gmwa2U2LR06dLcUhdpH9wr%20V65cnBQLFy7kLSTQ4NYsqRvcwo817A3CzZo1Cw4OXrp0aVp+xMG5klvqIu2De0K3JkI4K50SH/4W%200dLg1iypG9wpT2GsGDS4VcTDhw8fPXosJF5qSKRucAsvUmHK3bx588DAQBrcQtKqwS0y7Soq3ldI%20vNSQSN3gPnLkCLcSE/fv34/8+PHjbIbZ3bt3S4pTjS7G3DS4dYI0XVAqhaZN+cQDKYMd9UyRhIQE%203vRvpH1w92tV65XTtD+Tj/M83kKCFg5uExOTnDlztmvXLsmbAYgz2dTd+oHODG5jY+MOC28mlzo7%203Jf/fZZpH9xyounB3UNUfKCQWGGBAgVwys2fPz9sJycn5OPHj3d3d1+9ejXsKlWqIF+wYAHEAoau%20ozODG3ojzJ/0Z+q4+DYNbnlADPnt27enT58+fvzY29v73r17jx49Qjly2Chn+YMHD1h7nYYGd5JJ%20OWjh4DYoND+4W7Zsya0UUeLgPn36VPcU4e3SDA1uzaL5wd2rVy9upYgSB7faoMGtWRQf3Gn/7X3o%200KGDBg0qUaJEv3794uLieGkyaMPgTu1HnjlzpsyAlk6qHtzsvUrS6MdlovykbnCzXyhdXFxu3bpV%20sGBB2N8lb3ZLC7ql3CLLodL31/6ScpSTGdDSKb1IhDbCe8OUTgqDm83smgLsT+y6TqqVe/78+Rjc%20N2/eLFy4MFyDG9wWQ34bviknrRzc9vb2yLt06fLgwYOaNWtGRUU5OjpaWlqyDhw9evSGDRusra1H%20jhz58eNH9lOdjpLqwV2yZEk2uNk0uGkf3OPHj+dWiujY4DbrJirSXZStVA/z4skljG20yZIlS/Dv%20KPwCFjlBBHjx4kV/f/8TJ070798/b968dnZ2xsbGJiYm2HSOHDkwsnPlyrVo0aKEhAQ027ZtG19S%2010jF4I6Njd26dSvizsuXL6N3ULJzpxLeJCT9ZtsU0KXBbc5/MVEMW1tbbhFpQ/ELSmVBg1sGGtzK%20ggZ36qDBrUNofnBPnjyZWymSPXv2+gPWJJcaDtmkQ4P71o0bt25cTy7VqFHDTQ6S++YEehQrOqiE%20pZC279rFKwwGzQ/uNWvWcEsXUMrgtpq+usriHWlMPXv25KtLhm7FikrfnNlBg/s/1De4165dyy1d%20QL7B3V8kyiESGSeTclaY7lh54bY0Jhrcf4UGd7Ik+XukqMQICHOaksUQzQ7ubt26nThxgtlJ0qRJ%20E24lQ58+fbil3aRucE+fPp0ZM2fORD5jxgzmpgVtVu69/t23v7eXMzVo0IAv9jfUM7h7Fi86uISl%20kLb/d99W+qVWuyQjfvTo0XZ2dqyEfbPe3t5svu0xY8Y8ePDg6tWrcFu3bn3w4EEUTps2DQvGxsZe%20uHBh/vz5KFmyZAlybSPVym1iYlK/fn0Y7IH3tPyIs2DBAnRNixYt5syZo52/927x6rz2mZ2cqU6d%20Onyxv6GewU0oGJY8fPhQWT+/nzp1ilvaBw1unSZ1g3vTpk1Zs2b98eOHlZWVpaXlz58/AwMDeZ2i%20ODs7c0v7oMGt0yio3LjYSvJ6SwEMcHDnKlfZpEL1NCb2MhoiBRQc3ErEAAe3eljo2kJ69+r3FoeR%20BoXmB/fly5e5pX3sC/h3x4cucqbatflkqloCDW7ND+67d+9yS8tQVtylKZIc3Ox5Wn9//9ROyy39%20qj6GPNOM5ZSawjcmJsbX15c7aoEGt94y62zT5XdbC6l29wKsfNWqVch//Pixfv36hg0b5sqVi5Xn%20zZs3ISGhf//+Hh4euXPnHjx48L1791CeNWvWS5cuffjwoVWrVuw+N2jZsmWePHmwCGwrKyu0jIuL%20g2tqatq3b98rV64If/bJly/fz58/2ZRJR44ccXBwgOHm5iY97lUEDW5Cb6HBTegtqRvcWbJkQd6v%20X7+BA8UPviHqSuEV4nLi7e3NLYJQKqkb3ML83Ldu3UK+b98+5qYFHx8fbhFK5ebVqzeuugoJQTOv%20MBgUHNyHDh1iRlqeCTl58uTMmTNHjBgxbdo09lZ9QomUn7JS+hfNKZMm8gqDIXWDm939SZ9ePCsB%20rpHZJAFphJRbRdDg1vwFJQ1uFZHk4H7+/PmfM7j+dTIJLMUtnULDgzs+Pt7Pz487hFJJQbk3bdoU%20ERHRrl27N2/ejBs3ztnZWfibdt68eT09PQMDA8eMGbN69erQ0FAYkydPnjNnzqtXr1ASGxvLWmo/%20Gh7cCQkJNLhVRHhoaHjY/5MwKGfMmPH27duwsLBTp07lzp27fPnyGNADBgxgtQsXLqxVq5a7u7uF%20hYWXl9eXL19wadS3b9979+6dOHHi/fv35ubm169fZ421HBrchN5Cg5vQWzQ8uOPi4nDi4w5BKBUN%20D25EfgEBAdwhCKVCg5vQW2hwE3oLDW5Cb9Hk4I6KivL19f38+bOqp1snDBMNK3d4ePjPnz+5QxBK%20RcOD29/fXz1TDxMGCA1uQm+hwU3oLRoe3O/fvw8NDeUOoSTwpRIgPj6e98jvqGlwv3v3jgY3oWZo%20cBN6Cw1utUL3Q9UJDW618vnzZ24RqkdNg/vFixd/fcl+cuTIkYNbqUGeGe4E0qdPzy0Vo+ZJ9JSC%20wl+cxlHT4H758qXCv73nzp2bW6khXbp03JIDNgmRGtDFwb17924ohS6eeNU0uENCQlYpSrZs2biV%20GvB9cEsOjIyMuCUfmzZt2rJlC3dSw5w5c9atW8ed1IAtOjo6cic1KLyrAt27d0dngrNnz/KvU0dQ%200+BOC/qk3LoYc+/btw+HB3d0ChrcYtQ2uGNiYrhFqB4dGNyKzXfVsmVLbslBu3btuEXoETowuAlC%20MWhwE3oLDW5Cb6HBTegtNLgJvYUGN6G30OAm9BYa3ITeQoOb0FvUN7h79Ohx7Ngx9vvzkSNHhgwZ%20EhoaevToUVYrJydOnGjTpg2z586dyww5KV68OLfk4MqVK+Hh4YcOHTp8+DB2m5f+DX9//8uXL795%208wYfcP78+Xv27Jk+fTqvk4+sWbMyY/jw4eiciIgIfOTWrVuPHDlSePlWkjg7O//69WvTpk3Y4atX%20r6Jk3LhxWENwcDDrNHQ49oo1luGff/5BPnDgQDTAIliD8IwUlu3YsWO3bt2OHz9+9+5dVG3bto1V%20aT/qG9zGxsbIhYeD0V/IDxw4wFz5yZw5MzOmTZvGDDkxMzPjlnxgcM+YMQPGggULWIk8XLx48fbt%202zBsbGy+ffu2bNkyVi4nwuA2NzdHzqYMyJAhw+DBg9mbp1MAg7t///4wtm/fjrx8+fLI2bTo6DTW%204UnCjl4MYuRMMlZJXq3NKFasWKVKlWBgZCMfOnSopFgHoMGdLDS4GTS45cLS0hL5oEGD0O848f34%208aNkyZKsSh7w5RUpUgSGSPIvm3LlykmK5aVu3brckgPsXpkyZWBUrFiRlcjDly9fSpQoAYPtW6NG%20jVasWCGpkZeGDRtyKzGxdOnSyIsWLYocAwsjDD0gqUkCJycntqsVKlRgJYB9BNZp+ETo9iTXgG8B%20R5GLi0vZsmXhCh8ZjTGyv3796unpaWFhIV2lE6h1cCuLwMBAbhFE8ujk4CYIeaDBTegtNLgJvYUG%20N6G30OAm9BYa3EomNDQ0UAL3Cc1Bg1slXL58md1RTu6XF5n7zcyVLoQt7RIKQINb+RQoUOD169d7%209+6FffLkSRMTk+HDhws/zW7YsKFRo0ZsjriQkBD2gxQa+Pj4zJ8/v3z58pUrV5Y0FPPPP/+wBjr0%20RIf2QINbVTx+/JhNnmZubj5s2DBhcHt7e2fPnj1btmywP3361KVLFxiDBw+WVIpp0KCBoNm5cuVy%20cnJiNpFaaHBrACHkEAaxYDBkXEIxaHCrlh8/fnh5eXGHUC80uAm9hQY3QRCE7kHaTRAEoXuQdhME%20QegepN0EQRC6h7zaHRYWJn6xlUhkZGSUPn36YcOG8QqCIAhC7aQi7nZyctqxYwd3JNNe/Pr1q2bN%20mmfOnIHbsGFDNltHz549kbMpbWxtbUePHg1jwoQJNjY2rVu3btCgQUhISEJCQvny5d+9e4cqgiAI%20IrUort1ly5aFBN+8eZPNPxYVFVW/fn0Ywvsdoea5c+c2MTHZvHkz3OjoaDZDF3B3d8+QIQOi+NjY%20WFZCEARByI+82h0REWFkZJQnTx7Ey2XKlBk4cODPnz9RDskeNWpUsWLFzp8/X6JEiREjRkCRmzdv%20jiqE1VZWVrAjIyM7duyIcgTpyL9//37ixAlLS0vYpUqVkqyeIAiCSAX0WyVBEITuQdpNEAShe5B2%20EwRB6B6p0O7169evXr2a2VOnTmVvgzt9+vTYsWNhfPz4sWbNmpJKgiAIQrWkQrsPHjzYtm3bxYsX%20L1mypEGDBq6urih8//79uHHjoqKiVq5cuWnTJtaSIAiCUCmp0G7pZwQXLlzo4uLC7AEDBnz9+jV9%20+vTM1RLYYzAEQRB6ibzaHRMTM2nSpMmTJyPEDg4Onjp16sSJE4VZeNetW8cMLQGnE5FIdPToUe4T%20BEHoF3r4W+Xo0aMh3CBTpkzXrl3jpQRBEHqEXmk3rgM2bdqUN2/eQoUKGRkZmZmZ5c+f393dnVcT%20BEFoK58+feKWfOhh3A2CgoLKli3LHYIgCK2HtFsMaTehWxQsWJBbctOyZUtuEXoBabeYL1++WFtb%20c4cgtB6m3XFxcRs2bIARHh6OPDg4GPn+/fuRh4aGsnAELc+fPw+jbdu20dHRfn5+efPmhUvoOqTd%20Yh4/fkxRCaHTzJ49m1uEYaBa7X7w4MGfs7a6u7sfPHjw2LFjzD158uShQ4eeP3/OXCcJbKnAwMB9%20EmCr9C3/pN0EQegWqtXuevXqBQUFcUfCjRs32PzdERERzZs379ixIwQa7tKlS+/fvy8S8fUXKFAg%20Pj6+du3azM2RIwczVARpN0EQuoVqtdvGxkZGu4V3L4SHh9va2nbq1On79+9wlyxZIq3dBQsWhHbX%20qVOHucbGxsxQEaTdhG7hfNT5+B8cPnyYVxMGgGq1u1mzZqGhodyRIMTdUVFRUHY7Ozv2Awvi7nv3%207gnanT9/fmh3rVq1mJstWzZmqIhjx47RGzUJHeLxvVd+HwJl0pSJ4iOLMBDU8VtlcreqUS7nXWw5%20mykMtHv48OHcIQitJ2XtzpEjR24JzP0rMTEx3JKAi2Pk3t7ezP2Tnz9/7tq1izvJM3fuXOQRERGR%20kZGsRImw99wmSdWqVZEnJCQ0btyYlaRMXFzcuHHjuCOBvY5RYdCfJ06csLKy4v7fUEzf1KHd2g9p%20N6FbPHvo4f8pRCZNnTST1U6ZMoUZefPm9fHxOXv2bOfOnXEt6+npCVlntzGZ+A4ZMmTixInspYPW%201tY4ENatW3f79u1MmTKhpGTJkpaWlqdOnRKeoO3SpcvIkSNhbNu2jZV07do1JCQESy1ZsgQbwuaw%20LGTlzp07CxcuZK+cNTIyYo3Zm8Td3d0zZswIo1y5chYWFufPn4chqU98+PDh8uXLYTg4OOBqu0WL%20Ft27dz99+jRK1q5di/zz589Y9vv379hz7G3v3r1RiAb4dGyXsN2sWbNCuGFfunTJxcWlePHisD98%20+IAcNGvWDJ8d2srK8QHLli2LNcCoXbs2ZDQ4OLhOnTrz589H7f3793v16nXw4EHJohwPDw+cOV69%20egV79uzZ+OwVKlRgVaB169bYkxs3bmTOnDkqKgp9gi2amZmhPXojS5YsX758QeGAAQPy5cv37t07%20fEw2ER7Wg/I9e/aw9fwV0m4xpN2EPgFt2iyBucz4999/L1++LJRcv34dxo4dO2JjY5Hv378fmv74%208eNr164xEWRL7dy5E4q/d+/esLAwuKwxqqRfI37x4kVmoHzLli0wTp486eXlxU4PbD0CgiusHy2x%20fvaIOntyAVy9enXfvn1so5Bg5DijsEWwq5BXaBxACeL6rVu3sqfRWAPYUEPYFy5cePnyJTYBTWQ7%20Bnx9faGYBw4cgL19+/Zz584hR2M0u3LlSnR0NGzsD2rZ2gCWZa8fYDg7OzMDDYQec3JyYrKLs9fH%20jx+x58IuoWr37t0466AZWxaFbP/xefFxWJzOypGzBf+KQWs3zoc4DRobG+NEjZM5DJA9e/YRI0bw%20FnpBmdJl8+cvULBAwdSmQoUKjx83nq+FIAhtguJuMatWrVq6dCl39A6cliKD42XujcqTnj/06Nu3%20L18LQRDaBGm3mJUrVzo4OHBH7yDtJgj9g7RbDGl3kom0W2tpNv5w+3muMqlu3xW8mjAAVKvdLVu2%20rFSpUvv27bkv+UvOqFGjqlWrVq9evTdv3rx7965hw4ZwhwwZEhUVdenSpQoVKlSsWFH6lxA1QNqd%20ZCLt1lpIuwkVand0dDTk+J9//oEtPMAo//8qmaEe6H53kom0W2uRR7unTZsWERHBnd/58eMHt+TA%20ycmJGZMmTWKGNNgKM4QX0jI2btzILUI1qDbuZpItPN0JtFO7cSkg/QyQnkHarX/Io92lS5dGjmPq%200KFDEydOPHDgAOwrV67UqlXr3r17qBozZkzHjh3btGljYWFx5syZ0NDQdu3aoRwta9asGRAQ8OTJ%20E3t7+8yZM6MQDW7fvg29wHBCOXu5a3x8fP78+a9evYqSXr169e7d28zM7Pr162/fvu3cufOcOXNQ%20/uzZM2tr6wsXLqA9oURUpd0YBxgoACOAF/3HhAkTUC5ML5UnTx64Q4cOhY2hIFlIJEwrqB5Gjx5N%202v1nIu3WaczNzYOCgpB7eHgsWrSoWLFi9SSgqkiRIjjiHB0dixcvDrW1tLREyeDBg9EGte3bt8dS%20MFCFHG0gx3Xq1MHJwMvLC+7u3buLFi2Kqri4OKHlwYMHcSaAgSrk7J8vbA0JCQlY//Dhw4U/DRFp%20R7Vxt65A2p1k0nLtfvjw4fz58+emntmzZwv/1CAIHYW0W4z+a3eIQtr9SKu1e9KkSZ2LFe1fwjK1%20aVjpUunTpeNrIQjdhLRbTJ8+fYT/9eof+/bt364Q27Ztu3PnDl+L9kHaTRgypN1i2rVr9+jRI+4Q%20OoIha3dgII5E2fT5M3LCUDBc7X769OkxCefPn69evbqDg8PJkyednZ2vXbvGWxDajSFrt4/P/yVb%20SJ6eyAlDgeJuMYi7Hzx4wB1CRyDtlkky2h0eHs4e0o2Pj2ez9LFCZqQWNqsqIyYmJiwsjL1WBStk%2065cu/BOUY2d+/vyJNhEREXAFeIukYM+nYxG2cmyFtVf4U+gT6tBu4Y85MqBcuiq5ZmqAtFsXIe2W%20STLaXbp06ezZs8OoVKmSvb09jP79+zs5OTVs2BDGx48fGzVqtGTJEpQ3bdp05cqVMKZOnYrCb9++%204WK0Ro0aKAEjR45ct26dl5cXrkr//fdfVshWBQ3t0qVLYGDgqlWrUMh+NPrzsWDpvwjNnj376tWr%20P3788PHxYSU9evRgBrC2tl6+fLmJiQl7/0PevHlbtGhx6tQpVlu+fHnk0dHRFhYWrMSQUZV240tl%20c7QD0X//uAGurq7svzmgVq1azZo1i4uLg+3g4HD79m2hpapfciZDlSpVvnz5wh1CRzBk7b527Zar%20602ZhEJeLQFHEw5DxCUvX75kf6fo2bMnRDY4OBiC+/nzZ1tb2wULFqC8VatWMFxcXCZPnoxCf39/%20LCvINA5kLDVnzpwDBw506NABJfv37y9RogSrBexZ7zVr1lSsWBGLQ9Mh9Bs2bGC1YNu2bSjH+YC5%20d+/eRV6vXj0UAg8PD1bOmD9//pMnT5jNBOHkyZOCGyJBEApDRuVxt7m5ufRZVzv/V1mhQgW2G4QO%20Ycjara8ghFfFC9L0EhVqN74G9kYinKVZCbh27RrT7l+/ftWvXx8nfPZVIe6+c+eOoN1sFhS1Qdqt%20i5B2E4aMCrUbohwlITo6mhdJiI2NZeXMZTYKmYulgJrvfZN26yKk3YQho47fKrUfa2vrP39gIbQc%20Q9bu66uHe+2fIZPG2jfk1YQBQNotxtjYmFuE7mDI2v324MzYa44yaf7ANryaMABIu8UYgnbfuXN7%20xIgRQxVl9+75fEVaA2m3TCLtNihIu8UYgnbPmjXr5Ut8fQom9mitVkHaLZNktJvN3/3161fkR44c%20YZOyNmjQoHLlyu/fvx89ejTc4cOHh4SEhIaGBgQEsAaErkDaLYa0+6+JtFvnMDU1dXd3v379Ouwe%20PXrAdnV1/eeff379+lW3bt05c+Z8//59zZo19erVs7CwqFGjBhpMnjw5tYpAaAoD1e7jx48jyigo%20oUCBAkZGRoUKFcqfP3+1atViYmJ4I/2CtFtIBqLdhH6jWu0eO3bsn/MVrF69ukiRIlZWVsytUqVK%200aJFFy9ezNxcuXKZmJgEBgaq7THBnz9/lilThjv6i8a129vbu2fz6o93TLq3ZYKcyd1pep48efjy%20f0DaTRgyqtXu1q1bBwUFcUeCFv6vkrRbnpR27fby8prQrUmi2zqZu7QppMSHm3PmzMmX/wPSbsKQ%20Ua1229jYkHZrCaTdQtID7RaZ9hAVH5h0ylaHNyL0GhVqt6+vr5mZmYODA/cliA/gCRO2bNmyYcOG%201atXb968ed26dXAnT5784cOHnj177pAgzIOjBki75Umk3VqFyLSrqHjfpFO2mrwRodcY6G+V0gQE%20BNStW5c7+gtpt5BIuwk9gLRb3AVNmzbljjIoXLhw6Ua9S9brpkAq1bCncb6iwcHBfF3KQ+PaHRQU%20NHHixCmpxGHJIr78H5B2J51+1+4sWbKcO3du6dKlsG/cuHHs2DEnJ6eYmBiMsUOHDqHQ2dkZOXs0%20YPfu3cgF4/Lly8iPHDkSEhIiKU48ffo0MwiNQ9qtfO1GqNjZ4X77ea4KpI6Lb5taNZb5kUApaFy7%20lY4ha/fades2bNiYZHJcvZo3klCoUCHkHTt2RM5epxAfH//27VsY/fr1Qw5xRw6g6cg3b95cpEgR%20VlKxYkUm+tbW1qwEF0/MIDQOaTdpt1yJtJsgtArSbnEXNGnShDvKQDu1e/bs2bdvi4KCFEnh4aJy%205crxFWkNpN2EIUPanfjw4cOePXtyRxlop3anHTVPqv5XSLsJQ8ZAtTs0NNTDw+P169dv3rw5cuRI%20u3bt3r59C9fb2zvtCqWv2q1tGLJ29+7du1+KIBz58eMHb03oI6rV7pkzZ5YsWbJRo0awMdpgd+vW%20jVUVKVLE1NT02rVrzNUgT58+7du3L3eUAWm3QJcuXapVq1ZTBdSqVatQoUJp0e66deuyVTVo2pbv%20ru7wV11+9+6dp6cndwh9RIXafenSpRIlSrB3PLO3UMO4efPmihUrChcuLGmSaGtrq/GXjT148KBX%20r17cUQak3QKi9JlFFkNkH2JTSjLvL8pRrnNRMxldlieJtVsk4jtmMThr1qx8d3WH1Gr34MGDke/Y%20sQPlrOSvZM6cmVtJwaaWJTSIOu6ZmJiYbNy4UWu1m+53qw7SbhXRqVMnDNoUaNOmDXsQkIH2zPj4%208WOuXLlevXoFe+LEieyaOCwsrECBAq9fv4a9bt065H5+fvny5YOBy+X27dvD8PDwQP7y5UvkI0aM%20QH7v3r28efPCqFq1KnJCzahKu2NjY6HX+/btY49wnD59esmSJTjtL1u2DPH46NGjd+3atXv37gED%20BmDcsEU0BfZtypQp3FEGpN0CStXuAVali/3brVPXznY8dencwd7ernPn1Kb2nTt3BZ3bd7XHetqL%207RSxt7dn+kUQ2oOB/lYpzZkzZ0i7VYQytdt8YPGi/HJNzcTExOACkTsEoR2QdpN2qxDSboJQEaTd%20pN0qhLRbRQQEBHxLBlRFR0fzdoT+Qtotnmpn/nxlvgR9x44dq1atclQILLhixQq9ee+a9mi3fddu%202ao3Nq7XUoGUs15Ls9bdTFt1VUoqZGM3cOBAvluK0i35hyN7FCu6Y9cu3o7QX0i7E7dv37527Vru%20EEpFudpd1Ez8Ro4fqSf258/O7dpYTV1VeeE2jacK0x17pvm5JtJugrSbtFuFKFO7kcwHKpgsh4oy%20FIJoysioRpL6tTsuLi40NFSYxzW1CHdg0viX4/j4eG79Dt3hUQzSbtJuBaldu3beItnzmKWUxA0K%20G+UpnDG1KUuWLCVKlLBQEpaWljly5DBY7QbVq1ffuXPnw4cP06VL16FDh40bNzZp0uT58+cZM2b8%20+vWrSCQKCwuzs7N78ODBnTt3UOXn57d3795y5cr5+PjMmDHj6tWrKDxx4sTMmTNXrlw5btw4tlqU%20oByLP3v2DItjVWfOnGFvMpk7dy6qoC/4KmNiYrZt2zZkyBBPT8/+/fuvWbPG0dHRyMioU6dOHz58%20mDdvnqurKxrjHIOVDx8+nK2cSBlVaXd4eHjLli3d3Nxu3brVpk0bVojvGIMjODgYo+fGjRs3b978%20999/cUnLajXFnj17Nm3axB1CbszMzLZ4dV77zE4VqU4dJb90sVevXvqk3RvWr9+8aVOSCVUQRN5O%20wosXL3DqYjaOQcS/GzZssLGxgeCiBD0TGxsL7UYJDsnbt2/DiIyMxHHRuXPnixcvFipUCNqKwuPH%20j1etWtXBwSFfvnzXr1/HstDfjh07Tps27fXr12hgZWWFc0PXrl1RBe1GCfQlb968u3bt2rJlCw72%20Q4cOmZubjx07tkGDBtgTti1TU9PLly/DQFyPHcOJ9uTJk+yvfEQKqDzuxviAiHMnMbFmTfFLPQoU%20KMBcTf2v8u3btxhPiAWQY/AhItixYwdcxCMINHgjIkVIuxVLStFuZYFAKiEhgTsKgTUgUOMOoUZU%20q90Yo7hMgyHcKXv06NGCBQu06j/xCxcuZK99IlIFabdiSau0m9BdVKXduOaqXbs2pLlhw4YjR468%20dOkSjkbYqGLnedTWqlXr/v37kuaahLRbMXROu63nbKjqsEfjCbtB2k2kHZXfM9F+SLsVQ7e0OyIi%20Elf3WgIiG75bijL+QL05F5oml6ra5eHtCP2FtDtx0aJFR48e5Q4hN7ql3XrGQtcWMj0mner31swf%20UAl1QtqdOGrUqLt373KHkBvL0sVFIlG6dCpJzZs355shkoK0myDtJu0mdI9UaXflypVHjhzZo0cP%202HXr1i1evLitre3x48cdHR1RUrRo0bi4OElDMXCfPn0KA0shnzZtmoWFBVsWzZo1awZj3bp1aAYj%20ffr0yB8+fDhv3jwYXbp0KVmyZEREBOwzZ85gQRiNGjUqVaoUDAEsW7Cg+C+ybCWM2rVrMwOFGzZs%20YAbypk2btm/ffteuXULjYsWKIT98+PA///xz586devXqwfXy8rp27dqWLVuGDRvWqVOnChUq1KpV%206+bNm6iaOXNmiRIl2IJt24rfkbR8+XJWotOQdpN2E/oMBNfc3BxG9+7dkefMmTMoKOjs2bMrVqwI%20CAjo1avXy5cvhZcnrF69Gu7t27dr1qwJKYyMjKxfv37//v1hnDx5Es2g+KGhoZ07d/b19d23b5+x%20sTE0F4IOxcRq9+zZU7FixRs3bnh7e9vb22NV2FCePHni4+ORs00MGjQI5bhi+/r1KwwsyMpdXFyy%20Zs367NkzFM6fP5/tWHh4uImJCWoHDBgAF8dplixZ2NEaHBzMpoU5f/48lPrQoUOfP3/GZ8QiODHE%20xsa6urru3LnTz89v7ty5+BRo+fz5czSDgVMRE/E0Ph+pWUi7SbsJgtA9VKvdOLELZ7YvX768e/cO%20p0Hm/vr1Cy6udDR+6hsxYsS9e/e4QxAEoQuoULt//PhRtmxZXNrAhkyzd5vduXNn8uTJMCwsLGy1%20Y05kXNylthcIgiA0i2rjbhsbG5nXCLCXkwo0btz427dv3FEvb9++dXNze/DgAfbh2LFjsNnsK8+f%20P+ctCEJbqThnU7WVB5JM1dc6T5k0kbcj9BfVanfLli0TEhLYH+I7duz4+fPnDx8+rFy5ktW6uLgs%20XrxY4/dMunbtKtzJIQidoPyUlTJ/tRdSFYc9pN2GgGq1m5HCtL8pVKkNe3t7mn+K0C1Iuwl1aLeW%20061bN1wQcIcgdAH5tXvQoEFubm4w/vrn4YoVK3JLIdatWzdt2jTu/E5MTIwePE+tbRi6dickJPTs%202ZPumRC6RW5b+wId+iWZCtoPGj1yJG8n4eLFi8yoXbv2zp07YZQqVWrLli0wdu/ezf5BY2Zmxmb1%206d69+4ULF2Awzpw5gwtTGB4eHqyETem8bdu2MmXK7JK85KFGjRrIHRwckOMSVvhNa/LkyYsXL8YW%20o6Ojpf+GQygF0m7SbsKgYX9TlJNfv341aNCAO4RGIe0m7SYIQvcg7SbtJghC9zB07Y6IiOjfv39A%20QAD3CYIgdAFD1+6wsLABAwaQdhMEoVuQdpN2EwShe5B2k3YTBKF7kHaH0f1ugiB0DgPV7kuXLjVo%200KBWrVpVqlQpUKBAtWrVYNeoUcPOzu7nz5+8EUEQhLZi6HG3v78/e+UH9wmCIHQB0m7SboIgdA/S%20btJugiB0D0PXbj8/vxEjRrCX+xAEQegKhq7d7969GzNmTGhoKPcJgiD0EdJugiAI3YO0myAIQvcg%207Sb0mS9fvvTr1487+kuhQoW4RRgM+qbdHh4eEydOjIiI4L666NChA7dUj42NDbeUTatWrbilMmxt%20bbmlFnx9fTt16sQdddG7d29uqQsjIyNuEQaDvmn3y5cvp0yZEhkZyX11kTt3bm6pnnTp0nFL2WTJ%20koVbKkPNKqMR7Vb/uxw1rt1Hjhxp3br1mzdvuE+oHn3T7hcvXtjb2x86dOikGjl//nyOHDkuX77M%20fVVy5coVkUiEnPvK49KlSxkzZlTFmgVcXFwyZMig0k3IsGPHjtq1a587d477qgefsVChQqdOneK+%206sHAQ6+6urpyX+2ge0ePHo1hKTBhwgR3d/dfv37xw5JQAfqm3ZqC4m45UXOE6Ofn17lzZ+6oCwOM%20u52cnJhqm5ub4+yl/puWBghpt3Ig7ZYT9d8zMQTtxgUTtzTEx48f4+PjuUOoBdJu5WBiYsIt1YPo%20hlvKJnPmzNxSGRqPENWApaUltwhCZZB2KwF2X089d/dUty01fAo1bELj6PenI7QH0m6CIAjdg7Sb%20IAhC9yDtJgiC0D1IuwmCIHQP0m6CIAjdg7SbIAhC9yDtJgiC0D1IuwmCIHQPPdRu9ueINRICAgKk%20Czds2LBu3Tpvb29W+OnTp/fv3zNb6bAtrpIguIyIiIgnT55wR9mwDR09epS5quDKlSuxsbHMPnny%205MaNG0+fPs1cpYMvy8/Pj9notPXr12/bto25u3btwhd6584d5iod1pP79+9nLkN6IL19+5YVCt8y%20eP36Nao2bdoEW/pLTxVnz57lVmLiwYMH0cPoc+7/t1psAhtyd3dnhdL7gE5DFXYStvz78P37dw8P%20D2bjuFi7di16m7kYTtiH8+fPM5fB1oyNOjo6spk7g4KCVkuQ1Ce6uLhgqcOHDzOXUC76GXcbGxsz%20o3bt2sJ8sMWLF2dGt27dPnz4AAPijgODFaqCDBkyMCNTpkzMYFy+fHnatGncUQEQVjMzM+6oAPRq%20eHg4jBkzZty8eRMGPtH8+fMllUpm7ty5Fy9ehHH79u0pU6bAwBfatGnTLl26fPv2De6yZcuklU7p%20ZMuWjVv/YW5uzoyuXbtCrYRJYNKnT+/r6zto0CDYCQkJVlZWrFwBSpUqxZSxf//+np6eMPbu3bt9%20+3ZJpZjy5ctjEzCwOZzbhJGWOXNm7BJGOHOFMS8POEtBr2FghR07dmSF+LBz5sx59OgR7FOnTgmn%20B4YwtU6xYsWww5UqVWIuOu3QoUNMtV+8eDFkyBBWTigRA9Ju4ZATtHvLli0HDhxghapAmLtDZp4Q%20Nzc3lWo3UKl2169f/0/tXrBggaRSySxevPhP7baxsVGbdmfNmpVb/5GcdkNAod2DBw+GnUbtLlOm%20jKDdLBZOTruxOUit9EgLDg4WtFvYVXk4duzYn9ptYWGB02dy2o3TFTP+1G4It6DdQ4cOZeWEEtFP%207c6VKxcz6tSpg0OdzXAmzO7WvXt3pt24oNu3bx8rVAWCZLPYDbvBDkjo3dSpUyU1qsLU1JRbKqBe%20vXo/fvyAMWvWrOvXr+NzXbp0aeHChaxWuWC1586dg3Hnzh2m3WFhYc2bN4c8ff36Ff3p4ODAGqiI%20P7VbGEjYBwhl9uzZmYurK6ge025c+lhbW7NyBYB2x8XFwRg4cKC7uztk2snJaceOHawWVKxYkd22%20wua+fPkiXNhhpGGXMMKZm6oZDY8ePcpud+BTCC+swBrmzZv34MEDfMsnTpwQ7ocwhPkLcZLAd1Gl%20ShXmIng6cuQIQm8s9ezZs+HDh7NyQonop3YziRRA8ILBxx0NERgYiBGMw4z7KkPms6sObEh6W2rb%20LpDZtIqQ3kRydgqkfQ+xBumVJGengJzNUkC8BwptV4GliFShn9pNEASh35B2EwRB6B6k3QRBELoH%20aTdBEITuQdpNEAShe5B2EwRB6B6k3YS2M2PGDJFI1FaC6t6zTBC6BR0JhA7AJHvChAmvX79mJQMG%20DEifPn2ZMmVg16tXDznaLF++XFKZ6OrqCjc0NJQ9Wdy6dWsjI6M6deqwWlSBvXv3wg4JCRk6dKiN%20jU10dDSrrV69uvB/nEKFCmENaHz58mVWwhD+uMv+A+Xk5OTm5vbPP//UqlVr9erVDx8+ZLUEoTpI%20uwkdAOqJ/Ny5c+zPTV5eXkOGDJk6deqhQ4fgVq1aVdwoMXHEiBFPnz6NiorKli3b4MGDp0+fjkKU%20wEbwfvLkSbjCbAEdOnTw9fVF4y5durASgGYQ+oEDB7LJEnLmzMnKa9eujZbMBsI8HtBr5DgNnDlz%20Bga0HrmlpaW4jiBUCWk3oe00atQIWimJlcWgBEIp2IBNowFX+F/++fPn4bIJT7Zu3Spp+/+hzlz2%20F3NmS8+Qh7Wxv3pD8VFVoECB06dPs2asAWAukN6x+Ph45IsWLapfv74w0QdBqAjSbkK3uXXrFhTz%2033//5b5awBa5RRAagoYgQRCE7kHaTRAEoXuQdhMEQegepN0EQRC6B2k3QRCE7kHaTRAEoXuQdhME%20QegepN0EQRC6B2k3QRCE7kHaTRAEoXvIpd1/vuaZXvxMEAShQeSNuxs1aiQSiTJmzGhkZATj58+f%20vIIgCIJQO6mIu6Xn32nQoMGTJ0+YndoYXGhPwTtBEIRipOJ+t6Dd0Nz4+Ph69eqtXr26Xbt2KDlx%204gQCc5T7+/u7urr26NEDha9evbKysoIRGBjYtGnTJk2adO3adciQISgZPHhw69at2aqQEwRBEKlC%20Ee0GYWFhDRs2hMFmOgalS5dGjjbgwYMHkZGRzZo1Q0mBAgWg3S1btmS1yMeMGfPo0aMfP37Y2NjA%20JQiCIFKLgtoNaa5bty6MzJkzs5IKFSogf/78+bx582BERESgvYmJCXuTCChWrBgzQI0aNVDFBJ0g%20CIJILXJpN7uzIa3ds2bN2rp1KwxW+ObNm9y5c0O1YcydOxcl4eHh7PWArNnbt28nTJgAY9++fT17%209vTz84MtvD+QIAiCSBXyxt19+/aFTFtbW5crV87c3NzNzY2VP378uHjx4tDlfPnyXb58GQqOZh8/%20fkxISHB0dETQfezYscDAQBSamZmVL1++cOHCsbGxTZo0KVOmDArZW/4IgiCIVCGvdiP0loaXSuBF%20kkLBYAg2K2dIu6yWIAiCSBXyajdBEAShPZB2EwRB6B6k3QRBELoHaTdBEITuIZd2S/+omPIPjPTz%20I0EQhBqQN+4eO3Zs9+7dR40aBbtv377dunVbsmTJypUrYfTu3fvKlSt2dnbsj5QEQRCEqknFPRP2%20NxyA4DpDhgzMzpgxY3x8PIzSpUt/+/aNFRIEQRAqRRHtBkZGRjJGuXLlEhISmE0QBEGolNRpt6Oj%2046JFi1auXJklSxZWOGnSpH379nl7ew8dOpRudhMEQaiH1Gn3nTt3Ll265ObmlilTJpQwsc6RI8e6%20detcXV0lrQiCIAiVk9Z7JiB37tybNm26ePEi97WAuLg4ugggCEKPkVe7P378CO1+//49bE9PT9hs%20LkBI5Ldv3zp27ChppRVgl2bPno1LBO4TBEHoHfJq9+bNmx0cHDZu3Ah7xYoVS5cu3bt3L6sKCQnR%20qukAcVLBpYCtrS33CYIg9I5U3DNhaP+9iEWLFuGyANy9e5cXEQRB6Bep1m4t5+fPn+nSpWPaXbFi%20RV5KEAShX+ibdg8bNowJN8PZ2ZlXEITWUL58+X8IQorixYvzwSE3eqXdfn5+JUqUMDU1zZEjR/78%20+WHY29vHxsbyaoLQDnCscosgJChwk0CvtDs+Pj4sLOzHjx+jR492c3ODHRERQQ8LEtoGaTchg6Fr%20NyMhIWHixIlPnz7lPkFoGaTdhAyk3WJIuwktR0a7+/bt27x5c+7IjYuLC7cI3Ye0WwxpN6Hl/Bl3%20x8TEcEs+vn37tnPnTu4Qug9ptxjSbkLL+VO7Q0NDmdG7d+/27duHh4e/efPm5cuXMOzs7Hr16tWn%20Tx8s5evrizbNmjVbuHDhoUOHqlev/vXrV5SgmWRpQlch7RYTHx8/YcKE58+fc58gtIw/tTs6Ohr5%20p0+f+vXrFxgYCDtHjhy5cuWCAe0OCQmB8fbtW9asQYMGKFmwYIGpqSlcQg8g7RYTFRU1fvx4Dw8P%207hOEliGj3d26daspAfaJEydkpuSEi8LRo0fXrl0bqo3GDx8+PH78+LVr11CLpTp27IionDUmdBTS%20bjGITUi7CW3mz7hbhm3btomkpu0k9B7SbjGk3YSW81ftJgwNFWo3+4eLzNUcK9wrISwsDHZkZCRs%20JycnSX3io0ePDh06JMwyeOTIkQMHDnh7ezNXRZB2E1oOaTchg2rj7tatW5cpU4Y7/zF48OCtW7du%202bKF3XHr1asXXNC/f3+o5/Tp0zdt2rRq1ap9+/YtXbp0w4YNmzdvHj169OfPn9niqoC0m9BySLsJ%20GVSr3d++fStdujR3/iNjxozMKF++PHILCwvmpk+f3sXFBUoN28fHZ+DAgTVq1GBvlB8+fPizZ88k%20rVQCaTeh5ZB2EzKo/H53qVKluPUfmTNnZoaVlRVyS0tL5hoZGUG7EXTD/vjx46BBg2rWrBkXFwcX%202q3SB/hIuwkth7SbkIG0WwxpN6HlyGj32bNnjycF+ycOYQiQdoth2v369WvuE4SWIaPdjRs3Cfv+%2080dAtEw6cOAAb0HoOxrQ7gwZMjCjXLlyyIUZxEUi0aVLl9j97s+fP/fv379atWrsuRRV3+/+8ePH%20uHHj2GuRCUILkdHuRo0af/UJ9vsQKJMOHjzIWxD6jmq129zcvGzZskyOGUyLc+fOnSdPHnaPAiE2%20XBMTE0l94tSpU4sVK1a3bl3mshcjqHoOHabdHz584D5BaBmk3YQMKtTu5N5gkFw5kK6CnUJL5ULa%20TWg5qdLu/fv358iRAyGRu7s7a/9XECRxKzGxVatWyHH0paAOPXr04FbyLF68mBnSK1cWx44d41ZS%20sGvoGzduMPevrFq1ilsS0n6V36ZNG+Tfv39n7l+Jioriltyo/J6JTkDaTWg5qY27Z82axYzo6Gio%20sI+PD7MFVZI24uLivLy8mB0YGPjp0yfYL1688PT0hBEUFCStZczu3bs3c58/f45lX7586e/vj62w%20eAttsJLg4GDYb9++lf6xKiAggP2whMI3b97AQDO2TiyLKqjYq1ev4LJCb29vYeuCgZY/f/7EYYsS%20tnJ2lgoNDWXLohY5u7KHgH7+/JntGANLYTewY/Hx8Wyd2HmUsF4CCQkJyNEVbLX4dJLi/8OWEhbH%20h2WfhYHCjh07wmA/17179w55eHg41sY+O9bP/rASExPD1lCgQAHkISEh7B+L8kDaLYa0m9By/tTu%20b76h/p9CZNKf2h0bG5stW7YhQ4YcP368ZMmSKIEWIyqH0aFDhxYtWrASBOlspirEs8K2IDpQ8IIF%20C8Jmtd++fTt79iwWlI67Hz58uHz5chgODg7YFnvdK3agWLFiMG7fvi1u9B+zZ8+eOnUqs6GtT548%20KVSoEGzWrGvXrtCvdevWLVmyBBuCJrK/gzRq1Khnz54wsJ/NmjUbMGBAmTJlnJ2dcXZBm+7du+/Y%20sQO12DEsO23aNKgwW9DGxqZw4cKPHj3Knz8/XMC6KE+ePMj9/PwgqTjwhw4dCvX8+PFjtWrVMmfO%20XKVKFdQOHz58wYIFMLAh1mMM4S8pRYsWRT5z5kz0GDTEyMgI7p49e5CbmJiMHDkSHdu5c2d8ZPQe%20egMXNOgcKD4+JrZ45MgR9nMgTjlsVXXr1mXfkTyQdosh7Sa0HBnt7tih47jRE8eOmiCThCkoFi1a%20hHzx4sVQCqgSgkq4UD3kgnbb2dlduHDByckJmpUvXz6mzufOnYNQwgAsYBw1ahRyFh6yEmhlv379%20YDCmTJnCfpGCxkF6mHavXbuW7cOdO3fEjf4DQsaeJQMsrh8/fjxyFuFi39hZp0GDBshxYGbNmhVG%20w4YNBe1GDk6fPo0cp4GtW7cKk3BBu9m9FMTaTEnr1KnD1i88z8a0m7kQbmjotm3b7O3tBw8ejBKo%20OWSdTcIxbNiw3bt3wwA4ATADmJubM6NIkSLIR48ezXqMnQ+YdqMNLiAQ/mPf2JXBihUrKleuDAMY%20GxufPHkSBnqMlaD9li1bBg4ciG+ElfwV0m4xpN2EliOj3SkDTdy1a9fmzZvZjQKI6dWrV2EcPXpU%20eHCAGQiZmbF//36hcO/evTgitm/ffvjwYcg69OvWrVsQOFSxNpAnIDxLzmYPB9jKvn374uLi2Hqw%20D9gTiCxzGY8fP4ZAw8AKoVzv37/H+q9fvy6s/+LFi8zAUpAznHiExWHgVIQdQ8SKQBsuzhnYIqrQ%20EmqIQ/jt27fYIgSdtUeO9UOR0YydVFg5u25g0yjFxMSwT4QzHBY8dOgQdubSpUs4nXz58gUN8EFY%20/wiwNUOdmYEew2lAaIPCBw8eYDewV3CxwyjBSm7evBkZGYl9hqaz/UeOTkAD9im8vLzYfZuIiAjx%20ilKEtFsMBsTkyZNZbEIQWkiqtDtJNmzYwAJD3UJFE9siKtf192QZtHYjTChYsCCuH0GmTJmyZ8+O%20axnkJUqUEEIJPcDV9WrxYuYFChQsmMqUP3+BMqXL8rUQGiXt2k3oGRR3c6ZNmya8AFDPOHfu3Ob1%2026NDEyNDElKVEn8lli9Xga+F0Cik3YQMpN1ivn37NmbMGHZvS/+AdjsuX5fkI2Upp/CguPLlxPMW%20EBqHtJuQgbRbDGl3kom0W3sg7SZkIO0WQ9qdZCLt1h5IuwkZSLvFkHYnmUi7tQcZ7a5UpVq9Ybvr%20Dd0pkzp0tOctCH2HtFsMaXeSibRbe5DR7rr1G9rNv9Z+nqtM6tZd/AcWwhBQuXZHR0dHRUVJTyYA%20UALYpAGoYi6rio2NxSIxMTHMVQ+k3Ukm0m7tgbSbkEGF2s30WiQSVahQgc1uw7hx4wa2am1tvWbN%20GribNm2CC1xdXcPDw/v161e9evWmTZuyf9+qB9LuJBNpt/ZA2k3IAM3kltykIu62s7NjL1iQRvij%20FJt1xdTUlLkov3DhAvszK8S0Xbt2rFwNkHYnmUi7tQfSbkIG1Wo31PDUqVNsjjEBOd951rVrV1au%20Bki7k0yk3dqDAtq9fv16No1UkmzYsIFbcpDCRNjCzBtscigBXf/HufajWu1m9O/fn02qy9BC7fbz%208xs9erQ+/Q9eGtJuPUCxuFv6XqU0ENxatWpxRwo2d1JyXLp0iVtJwSakJtQGabcYX19faDebKl7/%20IO3WAxTTbg8PDxxfzZs3z5Ily4wZM6ZOnVq4cOHHjx+jqmrVquvWrWMzaItEIuStW7eeNm2av7+/%20vb09yqOjo+vWrTtv3rwDBw7s3LkTtWjTuHHjfPnyDR8+XJgDlk083alTJ9RevXoVq7p37x62yOa9%20WrBgAdrDwArbtm0rXoBQEqrSbuHBkvfv3+ObxjhgLhDud7NpcIU50VEOldm+fTvskJAQ9uIl9UDa%20nWQi7dYeZLS7WrXqVjWa/pn69O3PW0jw9PSMjIyE0aRJk3HjxsG4detWfHw8DGi3g4NDeHg4Aib2%200pYyZcps2LAhLi4OyovymJiYIkWKsAN548aNpUuXhgEhvnz5Mgw2mzZgswCxmcF3797N3ktgZmZ2%204sQJGI6OjuzdMVghi9UIZaHCuLtevXrp0qWrWbMm96WATIMrV67Avn37NnNZ1b///gsb3z1z1QNp%20d5KJtFt7kNFueejRowfEF3F3ixYtihcvvnfv3hs3brx+/RoHl5+fH4ucYKMN7KCgIOTXrl1jE1Kj%20vESJEp8+fcJFMwSdBdfsqET7RYsWYYVubm5wYUC4L1y4wGqxEgReyLEIYvZJkya9ePGCLYvCI0eO%20wCaUgsrjbiBtAxlXAOXSVck1UwWk3Ukm0m7tQQHt/pN79+4tXLiQO4SOo4773doPaXeSSfu1e82a%20NbNnz56bSubMmQMJY++10hWUot2EPkHaLYa0O8mk/dqdzShDl+LF7IoWSVXqULRIrXx59+7dy9ei%20C5B2EzKQdosh7U4yab925zAyGlaqZP8SlqlNzQoV2iN5J6yuQNpNyEDaLYZpN3sFqv5x5syZYYNH%20HnRy3r/naKrSiaPnLC1K8LVoJaTdhMFC2i3Gx8cH2q2v7zzz9fXbtGnTdoXYvDmlP2toHNJuwmAh%207Rbz7t27UaNGsSdhCR3CYLX75csXT58+/jO9evWStyD0HdJuMR8+fEDcLf0HIkInMFjtLl68nORI%20lE116lTiLQh9x3C1OyYmZvv27Y6OjmvWrJk1a1aDBg2WL1++evXqDRs2QMp5I0K7MVjtNjcn7TZ0%20DFe7Y2Njz58/7+zsfOzYsY0bN7Zq1ergwYOwT5069fXrV96I0G5Iu2USabfhQPdMxLx//37UqFHC%20u3sIXYG0WyaRdhsOpN1i6LdKHYW0WyZJazfGszC5NgzhPYLJzTaR8viXiWzCw8PZc1nIsfKwsLCf%20P3+yQtisjTQox/qxD2gTHx+PHLvB2mNB3ugP2KpYe1wos5Vjc+x1iQYOabcY0m4dhbRbJsnE3SVK%20lIBERkdHFylShJW0aNECee7cuZkrAGmuUqUKd5IiY8aM3JLQu3dv5FgP0/Tdu3cjb9q0qbguMdHL%20y4sZjDdv3iB3d3fv3r37gAEDYLP9YZMOLlmyJCQkBEaSPH/+HHm7du1mzZoFA6tKcuZxA0SF2p3c%206T2Fcumq5JqpAtJuHYW0WybJaDd76evr16/ZS23c3Nzatm2LADZTpkxwZ8yY0ahRo4CAgPPnz7ds%202dLKyur9+/cocXBwQK2dnV22bNlgvHr1CoXFixeHjcVdXV1h9OvXz8nJqWvXroiIUTJ37lwUNm7c%20GDlgcwoKsCm8GWvXrv327Rubnd9cMpch2LZtGzOwMyKR6MaNG8IiCLqvXr3aunVr5rJZCefPn89c%20Q0a1cXf69OnxTSxdupT7/yGe8jXFOWCFMEE9kHbrKAar3aamJfz9RV+/yqZq1aDp/8fDwwMyDR1k%20cXH79u2HDx/+8+fPQoUKwe3Rowfyixcvsvm7y5Urt379ehj16tVDPmLEiAMHDsCYMmUKcjb7NhZn%2087jiOEXOsLS0rFOnDgxBu42NjZnBEGL2Xbt2Icchz17GImg32y5j3LhxCxYs4I4khps2bVrnzp2Z%20y7T748ePzDVkVKjdHTt2ZEbfvn1fvvz/XwYEmWbfnDa8e8HT03PkyJFsTnpChzBY7f7w4a2r680/%2009u3/58ccfr06bVr196/f/+ZM2dKlSqFz3v9+nVbW9uYmBgca4jEoYlwv379euLECcg6omwfHx+U%20LFq0CIvb2NicOnUKxrNnz1CYK1eu6OhoGM7OzijMmTOn8EZK9iIeAI1GA3Zbpk2bNqyQgXJ7e3tm%20s1slUVFR2A2UDx06lJUz/Pz8xowZw+zu3bt36tQJRoMGDZDPnj2bvQ8AOWxxCwNGVdotfcejf//+%200tqthe88Q3iCKIN+ANE5DFa7tR+FY6979+5RWC0PKv+tEt8ETu/SUk7aTSgL0m49A8egvk4Jp3RU%20rt24NGM/fQiQdhPKgrSbMFhUe88Eh8f8+fPfv38v/QyQcL+7ZMmSyE1NTZmL8gsXLmzduhX2t2/f%202rVrx8rVAGm3jkLaTRgsKoy7R40aBTlu0aIFcnd3d16amHjt2rXKElavXg13w4YNsCtVqnT58uXw%208PB+/frVrFmzWbNmb9++Ze3VAGm3jkLaTRgsKtTumJiYKAmRkZEyD2ujBDCtRM5cVvXz508souYp%20/Ui7dRTSbsJgUfn9bp2AtFtHIe0mDBbSbjGk3TqKwWp3iVKl3x2c4bVfNh0+fJi3IPQd0m4xL1++%20hHZzh9AdDFa7zS1LJtxYHXvNUSYdPHiQtyD0HdJuMc+fPx8+fDh3CN2BtFsmkXYbDqTdYki7dRTS%20bplE2m04kHaLMRDtnjNnzuDBg4cqxMiRvSMifvAVaQ2k3TKJtNtwIO0WYyDaXaCAKCJC5Oub6vT9%20u6hPH5Gfnx9fkdZA2i2TpLXb1dV16dKl+/btGzRoEC9KBuHvcoQOQdotxkC0u1AhfHcKpsGDSbs1%20iWJx9/v375EXLlwYefHixV1cXGCEh4czFzkz2JTLMCZOnMgKCe2HtFsMafdfE2m3ZpHR7urVq9s1%20rd3+jyTzjOCjR4/CwsKsrKzY/N3NmjWLjIz08fGJj4/PmzfvsGHD2Ayr+fPn//btG4yNGzeKFyN0%20AdJuMaTdf02k3ZpFRrvlARp95swZd3f3hg0bHj9+HEaHDh3evXt3584dVMFt0aLFyJEjYYhEou/f%20v8Ng08aFSl5ESWg5pN1iXr9+PWrUKO7oL6TdQjIE7Sb0G8PVblw/4rKxoAQTExNjY+NCEqTft6Rn%20kHYLibSb0HXUod0yE1HJuNJIV6XQLO3IrPz+/fsLFy7kjoo3rUE0rt3HjjkvWrRosdyg8YoVK9it%202CQh7SYMFhVqN1NAOzs75jJYYZ48eRDzenh4wP748SNcRL6S+sSpU6cWK1aMve1UbRp66dKlOXPm%20cEd/0bh2lyhR4vmuKfe2TJAzPdw2cWyXRnfu3OHL/wFpN2GwqDbuTpcuXa1atbjzH0ZGRswoV078%20TmvhXdFoDA3dvHkz7E+fPglvJlUDLi4upN0pJ6VoN87KiXc3yDzWlkJKuLlmxQg7Nzc3vvwfkHYT%20BovK426EWswV0MJ3npF2/zWRdmsW0m5CBpXf7y5VqhS3/oO0W1OQdgtJ17X7+fMXjx49Tjo9fvzu%203TvejtBfSLvFkHb/NZF2axYZ7a7TpKOo+MCkk/nQfn3+5e0I/UUD2p0xY0ZmlC9fHrmFhQVz06dP%20Dw1l97t9fHy6dOnCytUAafdfE2m3ZpHV7sZ2ouJ9k07mA/v16cHbEfqLarV769at2bJl8/Ly4r6E%20gQMHbpfQu3dvuD179mRu3759PTw8ZsyYsWXLltWrV7MXxqsH0u6/JtJuzULaTcigWu0+ePCgs7Pz%2069evuf/fD5g4bAD7621kZCRsNt8CePDgwYEDB06dOsVc9XD58uXZs2dzR38h7RYSaTeh66j8nolO%20cPjw4ZUrV3JHfyHtFhJpN6HrkHaLcXJyWr9+PXfSTExMjJeXl2ca+Pr1K1+XUtG4dhctWvTd4dmv%20nKbJmTz2zZjas9mtW7f48n9A2p1E+l272e9Jly5dypo1K4ynT59igElq/o7Qsl27dswgtAfSbjF7%209+5dt24dd9LMnTt38llUKVn/35L1uimS6ndv0qQJX5dS0bh2r127dkoqGTt27OdPn/jyf0DanUT6%20XbvDwsI6dOgAg71NOzQ0NEeOHDBu3769e/fuDx8+XLhwITo6+vz58ydOnPjy5Yu3tzdqT0qIj4+H%20jRI2Lfi5c+eEe5uExiHtFqNc7b5582bFVqM6LnbrsPCmImnRrRo1avB1KRWNa7fSMVzt/sszgv/X%20bvarUr169YYPH75jx47Hjx/nzZs3ODg4X758KF+6dCnyT58+ZcmSBcbkyZPZ01/v379HVffu3WEP%20HDgQObSetRH+CE1oFtJuMUrX7gotR9gtuNZ+nqsiaf7VmjVr8nUpFdJuIem6djs57d2wYWPSaeMm%20V9crvN1/BAQEjB8/Hoa7uzu0u1evXiw+WL58+aRJk+rXr58/f364jRo1Ys3evXvXqVOnjx8/wmba%20fe3aNSb3VapUQU5oHNJuMaTdf02k3ZpFRrvl58GDB8+fP4fh6+vr7e0N99WrV3CfPn2KHBF3XFwc%20jGfPniFHkI7APCQk5MWLF3DR+M2bN9+/f7937x5rExsbyxYkNA5ptxjS7r8m0m7NorB2E/oKabcY%200u6/JtJuzULaTchA2i3GQLS7YEHRr1+ioKBUp8hIUd++pN2ahLSbkIG0W8yOHTu2bNnCnTSjtdrd%20o0ePbt26dVeItm3bhoQE8xVpDaTdhMFC2i1m5cqV7AlWpaC12q1/kHYTBgtpt5jly5cfOnSIO2mG%20tFttkHYTBovhavf79+/d3d1fv37t6ek5adIkhN5v3ryBGxAQwFsoCmm32jBY7Z45c2a/v2EIU/QY%20MprXbrW9UFiGefPmYXwPGDBg4MCBNWrUaNKkyaBBg2AfPXqUt1AU0m61kRbtPnLkCF+LLiCj3atX%20r+ZW8mB4c4vQR1Su3SVKlMiXLx+CXNh5JLDy48ePFylShL00R1PyLeDo6Hjs2DHupBnSboGLFy/W%20q1cPH0cV1K5dO0fGjAprN8YeW49VBesHj7T9/yak3YQMKtdu4b05GTJkYEamTJkCAwP//Ze/lkl4%20b44GofvdKsLBwUFUqI3sZEnKSuYDc2QQKajdBfOJ8tQVFe8nTnnqXL58me+xtpJ27X716tXGjRsv%20XLjAfUU5fPgwMz58+MAMQiOoVrvLly/frVs3KDVsIyMjVpg5c2aU9OjBp8sR3lepQUi7VQRpt7JI%20o3Y/fvwY10Aw0qVLx0rSCFsboUFUqN3sTkhISMjgwYNjY2NJu+VNpN1yJtLuFJHWbukfZuPi4s6d%20Ozd16tRChQqtWrWqcuXKXbp0+fHjBwpxIJiYmCxbtsze3n7v3r1nzpy5cuUKys+ePTt06ND9+/cH%20BwdbW1sfO3YMdvfu3RGZNWnSxNHRka+aUCPq+K1ywIABX7580WbtXrFiBT3frQpIu5WFjHa3bdu2%20Z4r06tWrYcOGvHVi4s6dO5nRqFGjhISE58+fBwQELFmyBCWurq4FChT4/v07CnFgDhs2DIVFixaN%20ioqCcf78eZRv3ry5dOnS4uUTE6Hd+FphVK1alZWwmaoINaMO7R44cCAGijbf7542bdqlS5e4k2ZI%20uwWUq93pzfuIinT/fyraM1s6UT9Lix7mxVObGubLI8pVg6/HpPqJEydwgYigMjlQyz+ShpDRbgVY%20uHBh7ty52dUwjMjISGNj45MnT2LNJUuWRDkKo6Ojc+TIcffu3axZs+JTQ53j4+NRnjNnTlTB8Pf3%20z5YtGyJ32C4uLhUqVMDxmytXrjFjxsyYMYNtiFAPKtRuXGft2LEDIwbjAy6uwpwkwAgPD8fpfdeu%20XQgHJk2axNprkIkTJyL64E6aIe0WUKp2989VpKZd2xZdO9sJqUvXru07d7ZLfepob9/VvhNbSbcu%20nbumSPfu3atVq/bz50/+qTRB2rWb0DNUqN0XL16EUrN4lp3tt0qQVIr/GgPtZrfhNP6MILT7yhXZ%206eoVhrRbQJnabT5AJCro+znZ95+plBYtWsTExHBHE5B2EzKo456J9kParSKUrd2Fvb29+KrVi62t%20LWk3oVWQdosh7VYRpN3KgrSbkIG0Wwxpt4og7VYWpN2EDKTdYki7VQRpt7Ig7SZkIO0WQ9qtIki7%20lYWMdgcGBn5Lnu/fvvF2hP5C2i1m0qRJytVui1odGwxaV3/AGkXSwLXVq1fn69JxtEq7b96+c+v6%20tVs3rqc2PX7woHrVKteuXXNTEg8fPuT7JDcy2t3axmZwCctBSSWU1y9WjLcj9BfSbjEjRoy4ffs2%20d9LMly9fVqxY4ZgGjp84wdel42iVdotEon8atjWu1zK1KUfdFgVtO5u26qqUVKRdz0z/5Ob7JDcy%202t2qadMBf/xZlCWU1yPtNgBIu8X06dPn+fPn3CGUh3Zpdxbj6qsOVlm8Q7Op+qoD2UyL832SG9Ju%20QgbSbjG9e/cm7VYFytZu0ydPHv9QiPDwcFHWnNVW7Ku8cJtmE/Yhm2mqtZW0m5CBtFsMabeKUKp2%2090+Xv7FIlEskMlYsZTctStpN6A2k3WJIu1WEMrUbyby/yHyggsliULaCBQ1Wu3HlERISEh8fz/3U%20wCYUBKGhocxQmIiICG5JIayfSBWk3WJIu1XEqlWrRIXby8qoRpJhazeb4rhJkybMVYyEhARupZLv%20378jf/LkCXMJpUDaLYa0WwHevn2b1ThjXrPseVJOhTPlKZwxVSmvacZMmUXFixe3UCrZChczWO0+%20cODAzp07+/fvf/LkydWrVyP+hY4PHz7c0dGxfPnygwYNsrOz27Bhw8iRI9EYh4NIJEKQjjY1atRo%203LgxCu3t7Zs2bYoYuWDBgij38PCQrDjRxsamcuXK8+fPHzt2LC6zUNK5c+eMGTP6+vqi2ezZs7HO%20evXqYUFs4uHDh2jcp0+fzJkzN2rUaN26dXfu3Klfvz6W6tSpEzYaFhaGZvfv35esm0gJVWk3mxpw%203rx5s2bNEs63ONpRwub5ffny5cyZM+fMmQNb4/MIknYrwOvXr1sNL7vrc9ft7+2Vm5y+dq/Wyoxv%20Rnnok3a3trEZInmU+8+E8j+f7969eze3JOEzjkQYCxYsQD5x4sRs2bLBMDExwSEJgwXpwv0NdpDe%20unWLxd1VqlRBzpYFY8aMGTVqFIypU6eamYm/tdGjR2Nzzs7OsCHEyP38/L5+/Yryy5cvDx48GCVF%20ixaFTMOAgk+bNg0Ge4HDjx8/0AznEthEyqgw7sbX5urqeuPGjWHDhvn4+KDk9OnTOAnj+wsICMDX%20g6qrV68KL2HQIIhH3rx5wx1CPqDdzQaU2uDece0zO+WmzW86VW5misOYb0lJ6JN2I47evGlTcmmP%20lFIzSpYsyeQb0ok4Ojw8HPEy4m6UuLi4sKq1a9ciIoaBUGbFihWIu9Hm7NmzBQoUwDGLuBtuUFAQ%20omMcuaampmgJcJi3b98exrhx4xBuQ6MbNmyIpT5//oz2iLtRVbduXcTdcK9cuYIPgpgdK8GqoAxY%20JF++fNevX0fcvWXLFrZjOXPmXLVqlWT1RLKo457JgAEDcJzjNIsvDGMOJe/evdP4O882b96MawLE%20FLgUsLa2Hjp06Ny5c+Fu27ZN49cBOgFpt2JJKdqtRCDKsbGx3FGU2rVrc4tQFyrXbpxvcXb9+PEj%20c3F5dfHiRbga1+4TJ05s3boVSr1z584KFSosX758+/btcI8fP67ZmSt0BdJuxZJWaXdkZGQa+5m9%20E447hBpRuXbfvXt34sSJzGbxLLtc0qp3Dbds2RK7xB1CPki7FUvaFncTOooKtZsptZWVFXOB1mq3%20ra3tly9fuEPIB2m3Yom0m1AKqo27IdPIu3TpguMch2JsbKyNjQ0u096/f9+rV6/o6OiwsLBKlSqx%20xhqEtFsBSLsVS6TdhFJQoXaPGDGiU6dODRo0aNiwITS6Tp06tWrVevDgAat1cXFBCWpha/y3QdJu%20BdA97TYtXmPt0aoOezSbsA/ZzMz5PskNaTchg6q0W3451rhwA9JuBdA57c6Y0yS3dS2TCtU1m3JX%20qpUha3a+T3JD2k3IoPLfKnUC0m4F0DntDgoKYg9FaAN8n+RGRrtb2TWde6npnAtJpyU3Wyyat5Q3%20JfQU0m4xpN0KoHPardPIaLdd1xbrXsj2m5C2vbVfOJe0W88h7RbTokULPz8/7hDyQdqtTki7CRlI%20u8XUqVMn7fNbGhrQ7lbDy+727bbjQxflpr0B3au1KkLaLQ1pNyEDabeYSpUqxcXFcYeQD09Pj0xZ%20MojSidKpIAE6m0pD2k3IQNothrSb0HLSot1szr9Xr1717dsXxs+fP3v16iWpUQJJHjinTp1Cvm3b%20Nk9PT1Yig729fdpnnti1a9fBgwevXbvGfSk2bNjQvXt3GEnW6gek3WJIuwktJy3a/eTJk+3bt8OA%20mCIPDAzMkCEDjIULF27atKlLly5FixYVt5OwfPnyEiVKwGD5pUuXDh065Obm9uzZM7is5c6dOx0d%20HR8+fFirVq3y5csL5cyIjo5mU3JbWFgcP34cRkhISOXKlSX1Yvr06RMeHo5mHz9+HDp0KC/9byVY%20LRaEgR37IXnRqJeX+AXTqL158yaMUqVKNW/eHEbOnDnZIiyHWE+fPh17+/jxYz8/v/Tp06OwX79+%20rIG3t7fQkhlPnz5lto5C2i2GtJvQcmS0u23nZivut15+N+kEWZfWbmgZcugaFDwqKio4OLhQoUK/%20fv3q2rUryqHOyIV34kyZMoVNK5gnTx6ow+7du3ForFq1CoqJwrx589rY2CCQRyGbyDs+Ph42yufO%20nduwYUOUYM1mZmZHjx6F3b59e2g0dPPr169wGceOHUPQjQXTpUuXK1cuVoi9wkpgYLVsZyDN2bJl%20g75jDevXr0dJ3bp1kRcuXJj9FjJ16lTkOHixIDZaoUIFLDhr1iys/O3bt9h/1Nra2rKpbtGAbat6%209eqrV69mnwuu7kLaLYa0m9ByZLQ7VSAUZRPob968GTJ6+/ZtiF2bNm2gayjcs2fPy5cvBe2eMGEC%20i2ofPXqEsHrJkiXfvn2DSpYsWRJqi5ZYavTo0QilEZjjqLlx48abN29QjrC3V69eMBApm5iYXLx4%20kRVCRq9IYC98ANiNGjVqlC1btk6dOsI83TglPH/+3NPTs1mzZkyUsWOQJ6wf+7x//36srXXr1ihH%20YM5OEr1798ZuYH9QhT0xNzeHprNZS8+dO5cjRw40g1LPmzcPDUC1atWQd+7cGev38PC4c+fO69ev%20xdvWTUi7xZB2E1pOWrSb0EtIu8WQdhNaDmk3IQNptxjSbkLLIe0mZFC5dvv6+nIrMdFLAncSE/39%20/d+9eyfdQFNYW1vHx8dzhyC0D9JuQgbVavfixYuL/ffK6jlz5nTt2rVLly7Lli1jJRUqVPj3339n%20zZrFXA0i7CRBaCek3YQMqtVuFxcX9vgns5nBXshw+PBhZmgDhQoV4hZBaCWk3YQMKr9nwh4LlSZj%20xozI2bTdWiLfpN2EliOj3U+ePLlx1TW5dPO63v6ZkBBQt3bXqFEjPj6eCTfLc+fOLalRN3FxcQ8e%20PHBzc7t//36ePHmeP38OG9y9e1eB6ZUJQqXIaHczu07VVh2stvJAksnMfhBvR+gvatVuLy+vESNG%20wJDWbvb3J/UTHR29ePHiKVOmzJw5M0eOHHPnzp0mYfbs2clNwkAQmkJGu23adai8aLvMmzCFVNiu%20D29H6C8q1G4mzWXKlBFsOzs75NKbLFCggDYEuXTPhNBySLsJGVQbdxsZGWXIkGHFihWwRSJR1qxZ%2006dPDwN6jRygnMm6ZiHtJrQc0m5CBpXH3QxtEOgUIO0mtBzSbkIGld/v1gkKFizILYLQShTW7oSE%20hAcPHjx79uzJkye8KHk+fPjALYXAhh4+fMid3/+XRygd0m7xj5alS5fmDkFoJQprd1RUFPJmzZod%20PHiQlSSHl5cXmxVWMYYMGYKcbe5P2IzehBIh7RZHB7Vr1+YOQWglabxn0rhxY2bMmDFj3rx5PXv2%20nDVrlrW19dixYzdu3Ni3b9/Ro0ejtnXr1qdOnZo7d66/vz9r/+LFi6lTp27evJm9riF79uytWrVC%20CRaEi5UsXbq0Y8eOU6ZMwdrGjBljZGQUHx8Pw8rKqkKFCmiDqtmzZ9O7vJUOaXciRlWtWrW4QxBa%20iYx2V6tTv0DH/gU69EsyZSgjfiuCNIJ2z5w588qVK0yaIdmdO3eGERcXFxAQAAPaPXLkyJ07dwrh%20c1BQ0MSJE+/evcuuTQsWLHj9+nUYPXr0QO7g4AD35cuXsNnjv5aWluzVDWDhwoXIly9fbmxsTNqt%20dEi7SbsJHUBGuyMjI8PDQpNPYbydBG9vb/YCMAARv3XrlpmZ2aBBgzJlygTBff369blz5xAjQ4IR%20XONwsLCwELT76NGjpUqVCgwM9PLyQnm2bNlcXV03bdq0aNEi1FavXv3p06eFChWaNm1a1qxZIfEi%20kQj7hpZYbY4cObC4ra0tCosWLQq5Z/dVCKVA2k3aTegAMtqtRBB0s3c5ysmZM2do0k1tgLSbtJvQ%20AVSn3YSOQtpN2k3oAKTdhAyk3aTdhA5A2k3IQNpN2k3oAKTdhAyk3Yk+Pj716tXjDkFoJaTdhAyk%203eI/8nbs2JE7BKGVkHYTMpB2J7q5uaXlr8AEoQZIuwkZSLtJuwkdgLSbkIG0m7Sb0AFIuwkZSLtJ%20uwkdgLSbkIG0m7Sb0AFIuwkZSLtJuwkdgLSbkIG0m7Sb0AFIuwkZSLsT79y506VLF+4QhFZC2k3I%20YLjaHRMTExUVFR8ff+zYsQEDBqAELhBmjicI7YG0m5DBcLW7d+/e1apVq1OnjqWlpampKYxatWrV%20rl17/fr1vAVBaA2k3YQMdM8k0dnZeebMmdwhCK2EtJuQgbQ7cd++fZMnT+YOQWglpN2EDKTdpN2E%20DkDaTchA2k3aTegApN2EDKTdpN2EDkDaTchA2k3aTegApN2EDKTdpN2EDkDaTchA2p24Y8eOWbNm%20cYcgtJJcuXJxiyAkVK5cmVtyo2/avXjx4rVr13KHILQSX1/fTwTxO3xwyI2+afeCBQvov5QEQeg9%20pN0EQRC6B2k3QRCE7kHaTRAEoXuQdhMEQegepN2EPvPo0SNu6S++vr4hISHcIQwG0m5Cn1HgLw86%20x+rVq69du8YdwmDQN+1euHAhaTchYGpqyi39ZfHixZcuXeIOYTDom3aPHTv24MGD3FEXy5cv//z5%20M3dUzM2bN0+ePMkdpbJt2zZ3d3fuqAYnJ6enT59yRy2oX7t//PgxdepU7qgF0m7DRN+0e8CAAWfP%20nuWOuujVq5enpyd3VMyRI0dwjcwdpTJhwoTbt29zRzXMnj37ypUr3FEL6tfu79+/N23alDtqQePa%20/UsCdwh1oW/aPXDgwDNnznBHXfTr109t2u3s7Lxu3TruKJXJkyffuXOHO6ph3rx5rq6u3FELGtFu%20W1tb7qgFjWt3VFTU0KFD16xZw31CLZB2KwFo95s3b7ijYlSq3Xfv3uWOaiDtVgUa1+7IyMjmzZuL%20RKL8+fOfPn2alxIqRt+0u1evXlOmTDl79uxJdYFt4Rp5w4YN3FcxUNhBgwadOnWK+0oCJ7wOHTo4%20ODhwXwXgqO7Wrdv8+fO5r3ouX76cO3dudQ4G4OTkVLly5fPnz3NfxaBXe/bsOWfOHO5rgsOHD+Mj%20Q7sZVapUQQmCcX5MEqpB37T7+vXrjo6Oq9TI2rVra9SoMW3aNO6rmL59+3bs2FHpnxEXvE2aNBkz%20Zgz3VcDq1atbtGgxfPhw7queTZs2/fPPP/iCuK8WFixYUKZMmfXr13NfxaBXW7duPWTIEO5rApzy%20S5cuzZVbJMqQIcPo0aPDwsL4MUmoBn3Tbo3Qv39/Ly8v7qiY48ePq+ghSFyv3Lt3jzuqAUG3mp9E%20Vv89k6CgIJyiuKMWlixZ4uLiwh1NEB0dbWtry4R76NChnz9/jo+P53WEyiDtVgL0W6Wc0P1uVaAN%2097vbtm3bqlUrf39/XkSoHtJuJUDaLSfq124zMzNuqQv1azfibs1qN6JsX19f7hDqgrRbCZB2y4n6%20tVvVT878ifq128fHJzg4mDuEwUDarQTUrN0qeqmbGrR77ty5atZu9aN+7SYME9JuJbBq1Sq1/Sfe%20zc1NRY/Q7tix4/Xr19xRDfv27Xv27Bl39JTQ0NCZM2dyhyBUBmk3QSgf+o84oWpIuwmCIHQP0m6C%20IAjdg7SbIAhC9yDtJgiC0D1IuwmCIHQP0m6CIAjdg7SbIAhC9yDtJgiC0D1IuwmCIHQP0m6CIAjd%20g7SbIAhC9yDtJgiC0D1IuwmCIHQP0m6CIAjdg7SbIAhC9yDtJgiC0D1IuwmCIHQP/dTuV69erV+/%20fvPmzbCFN5h8+vRp7dq17EW9rNDJyUlSoypOnz69cePGkydPcv8/Dhw4wC3VcPv27cjISO4oFdZv%20p06dEuxVEgRXibAV7t27V7BXS2Dv1Y2IiHCUINSqgpcvX37//p07/+Hj4yMMJHD8+HF8y2fPnmXu%20Gglfv35lbmphn0V473t8fHySPYz1sw0x98yZM9iHEydOMBf7hj3EgGfuX/mzq3H4YA0fPnwQVyf/%20Ld+5c2fDhg27d+9m7tatW7Hg06dPmZvcUoRS0EPt/vjx46hRo44ePXrw4MGJEyeywtDQ0H79+jk7%20O6N8wIABKBkyZIhIpMKPf+zYMQzcw4cPQ24OHTrESxMTFy5cqNLtPnz4EOv38/PjvrKpVatW5cqV%20md26dWvoBYDBSpRLz549hb7q0qULVBK92rVrV2hBp06d4GLTHTp0YA2UDpQLW0d/cl/Cjx8/hIE0%20ePBgnMagcfiWV6xYceXKlT59+mAPAfY8OjqaL5NKKlas2KJFC2a3a9eO9XCbNm1YCYiKiurVqxfb%20ELaI7a5cuRL7AClHuIC9wr5hD7GfGPZ8mb+BI0XoamENOFKwLWya7YPMt/zo0aMZM2Zgu9BubHre%20vHn79+8/cuTI+PHjcWoRlmrbti1fgFAqeqjdz549Gz58OIy4uDgcBqzw27dvLVu2ZHaBAgWYkS5d%20Omaogvnz51++fBnGzZs3McRZISNz5szcUg04bFSn3eHh4VZWVszOlCkTMzJkyMAMpSOsWeg0fKfQ%20bnNzc+amT5+eGapg9OjR9+/f546EgICAVq1aMdvU1HTp0qXs5foXL17EdV7u3LlZVf369dFRzE4t%20X758adKkCbNNTEyYIX2+DwsLa9CgAbOxRWyXxelubm4ODg7YK1aFAY9hz2x5EA4HYQ12dnbYVrZs%202Zgrc7zgPIEzFgx/f/9u3bo1btwYQg930qRJb968EXY4Z86czCCUix5q9/PnzwXttra2ZoXq1+4F%20CxZoSrsRiqpOuxMSEsqXL89sQbuNjIyYoXT+qt2qO20ARKMpaLeZmRm0+/bt27CVqN0I7aGDzBZW%20KL92Y69YlcLaLaxBfu3u3r27jHYLjUm7VQRpt6og7VYKpN3MIO0mZCDtVhWk3UqBtJsZpN2EDPqs%203TExMVWqVIERHx+PQSwccoULF2aGSrV74cKFOKKw6evXr8+aNQslsFmVqrUbh5z8zxikltjY2HLl%20yjE7a9aszFDdJxKkWVCQSpUqQbstLS2ZK5w/VMH48ePZ7WwBaLfwk13RokWXLVsGxcQ3e/78+S1b%20tuTLl49VQVsV1u7g4OBGjRoxO2/evMyQPkVBTxs2bMhsbBHbvXDhAvYBUcLy5cuLFSvGqjDgFdNu%20fC5mIAjAtoyNjZkrc4Y+c+YMNofvAoFCjx49bGxs2EeGdnt5eQk7nCtXLmYQykUPtRscOHCgbNmy%20TLhXrlzJYpYbN26ULFmydOnSkiaJ7NeVvn37MlcVDBo0CEFinz59YCMwYbsxefJkHHjNmzeXNFE+%20kBKoGz4p95VNhQoVatasuX//fuYWkQADxzArUSJt27aFio0aNYq5iLUtLCwQ08H+8uVL8eLFmU6p%20YtPg7du3uMIoUaIE9/8DJ2N0b5kyZZjbq1cvfMtDhw5lLtqDR48eMVcBMESrVq2KQB52ZGQkPiMT%20U+mP+fDhQ7Yh5g4ZMgT70Lt3b+ZiDdhDDHjmygPGKg6HTp06MReHT6lSpa5cuQIb28UOJPkt49Rl%20ZWUlXCXUqFED5/Xt27czF4tgQZzsVfQFGTj6qd3S7NmzBxe23JGAkSQ9mFQ0sGRWO3369G3btnFH%20goq2K6CK9at6n6WR3hZsdW5aTmT2SsZVjNSuQWajMq6cKGUNCixFpAX9125cNmrDqFLdTQyCIAwQ%20/ddugiAI/YO0myAIQvcg7SYIgtA9SLsJgiB0D9JugiAI3YO0myAIQvcg7SYIgtA9SLsJgiB0D9Ju%20giAI3YO0myAIQvcg7SYIgtA9SLsJrebXr1/fv38PCgoKlKCidygThM5B2k1oNdHR0YULF7a0tLS1%20ta1Vq5adnR2vIAjDhrSb0HaOHz++a9cuZt+7d48ZScImjBSmjUx5/kjUSjf4a2Nu/UFCQgK3/iPl%20VRGEUiDtJrSdAwcO7Ny5EwZ74RFTRpEET09PuO3atRszZgx7tQWrzZo1a/Xq1WUaBwQEwN67dy9z%20YQP2DqAaNWowNzQ0FFWurq6w37x5s3jx4rp162bJkoXVMrZt23bs2DEY7u7u2C4MY2NjNMaCP3/+%20zJEjh6QVQagW0m5C2zlx4kT69Onz589fsGBBVsKUd+XKlf7+/jlz5oR79uxZobxUqVI+Pj6nTp1i%20r75jhZMmTfr27dvnz5/btGkDF+TOnXvHjh2oNTU1hSuoPPLixYvHx8djo3A/fvyIEgsLC+SMjRs3%20Hj58GMbLly8nT56MFaJZr169Zs+ezV4bBrmXNCQIFULaTWg7iLsRLMMQXtm8aNGiQYMGLV26NCQk%20BG6TJk1YOYt569Wr169fvyFDhri5ucGdM2cO7GXLlkVFRfn5+XXo0EHSlr9RFzKNnAk3gAoPGzZs%203LhxcXFx79+/nzBhAgphV6pUiTUA0tqNNcNgit+1a9fg4GCcIWxtbcXtCEKVkHYT2g5iaqbdYN++%20fU+fPmVv2m3cuPGTJ08iIyMhnezNikxDmRx//foVes2aIS9btqyvry/ibuFNwdmzZ0f+p3Yjh/TH%20xMR8+PBh4sSJrLxatWrMABs2bDh37hyMT58+sXsmgnbjXALtbt++vbgdQagS0m5Cq4mIiIAyCrDb%20IBkzZoS9ePFi2NDupk2bohwlkiXEoIEQKUuWEwm/drL7JAD23LlzYUi/aR7Ki5Lz58/DlrQS3zNh%20xqZNm1gbJycnVgLSpUvHcsTa06ZNgw3RR37ixAnWmCBUBGk3oWNIP9eBeDk+Pr5OnTqCK+TMEOw/%20kVkPt+QAcTcTd4LQIKTdhG5jb2+PsPf+/fvcVz2Ojo7CPRyC0BSk3YRu4+Xl9fbt29DQUO6rHmwr%20IiKCOwShIUi7CYIgdA/SboIgCN2DtJsgCEL3IO0mCIIgCIIgCJVDYTdBEARBEARBqBwKuwmCIAiC%20IAhC5VDYTRAEQRAEQRAqh8JugiAIgiAIglA5FHYTBEEQBEEQhMqhsJsgCIIgCIIgVA6F3QRBEARB%20EAShcpQcdsfExOzYsWPmzJmOjo6LFy+eM2fO3Llz582bB2Pq1KlXr15lzVL1Om6CIAiCIAiC0HWU%20HHbHx8d7eXmNHTtWJBKNGzfuwYMHrq6uV65cQcB9+/ZtlFSqVOn169esMQXfBEEQBEEQhIGgkodM%20nJycEHbv2LGD+1KEhoZaWVk1bNgwISGBFxEEQRAEQRCEvqPusDssLKx8+fK2tra/fv2aN2+ekZER%20Ws6ePZvVHjhwwMzMDCVNmjRBXI7Gy5cvh9ujR4+LFy9WrVp12rRpaPbly5d169ZZW1ubmpq2bt0a%20VSj8/PmziYkJGpctWxYt8+fPDxt07doVsX5kZKSzs7ONjQ0WqVKlytatWz99+kS32wmCIAiCIAj1%20oJmwu379+uxu95MnT7JkyTJ9+nRWy6hUqVLjxo0RE1+7dg1Bc4YMGRAob9iwIS4uDrXh4eFWVlaI%2018eMGYPAvW3bttjWlClTULVt27YbN27AOHz48OTJk5ctW/bx40fxGhMTb9++vWjRookTJ06aNGnk%20yJFYpGbNmrGxsayWIAiCIAiCIFSK+sJu4dayhYVF5cqVWdh98+bNzJkzz5gxg1UxrK2tEXYz+86d%20OzINIiIisDjauLu7I6r29vb29/ePiori1RIsLS3LlSsnfTN7wYIFWOTChQshISFPnz4tVapU3bp1%20KewmCIIgCIIg1INKwu7Nmzcj7N6wYQPs8PDwsLAwxMqwZ8+enTVr1lu3bklaibl9+3bevHmFu90r%20V67Egoz06dOfPHnywYMHCLvHjRvHGgCsqnbt2o0aNUIADffy5cvZs2cX4nIYWBYLwo6MjGzQoEHR%20okWxD/Pnzy9YsOC9e/dQHhAQUKFChWrVqgUFBUkWIgiCIAiCIAjVouSwG5HuiBEjatWq1bFjx+bN%20myPqbSihXr167Ilq1ozdhxbuRu/Zs6dSpUoVK1bcu3cv3GnTpi1duhTGmjVrEBzb2dlh8c6dO/v4%20+Eiai3n58mXjxo1LlSo1fPhwVoJgumfPnnXq1MGmbWxs6tevj+1iByZOnPjjxw80iI+P79+/v7W1%20NUL2du3a2draYrUXLlxgixMEQRAEQRCE6lBm2C39UIeKkInXBf666RQaqGG3CYIgCIIgCANHJQ+Z%20EARBEARBEAQhDYXdBEEQBEEQBKFyKOwmCIIgCIIgCJVDYTdBEARBEARBqBwKuwmCIAiCIAhC5Sg5%207A4PD+/ZsyebeBt069YtNDQU5b6+vi1atGCFmTJlYi+VnD17dpYsWVhhs2bNgoKCzp49a2pqykos%20LCzOnTsnWStBEARBEARB6DbKDLuFmficnZ0RNx88eJC57IWUYOXKlUZGRnfu3GEuePLkSebMmRcs%20WMB9CdJvqaTZ/QiCIAiCIAg9QCUPmezZswdh96FDh7j/HyzsvnTpEvcTE69evYqWM2fO5L4ES0tL%20RN5CsE4QBEEQBEEQuo5Kwm5nZ+d06dIhnkaQneE/YKPE2Nj4xo0brJlwJ3vgwIHZs2f39fVdt24d%202ri6urJygiAIgiAIgtAPVHi3+8iRI9z/D0dHR8Tf0ne7Gb1790bYHRQUtGXLFix4/vx5XkEQBEEQ%20BEEQeoFKnu0+ceKEdNgtPC6CsNvIyOj+/fvMFdq/fPly48aNffr0GTt2rLOz8/fv31k5IcONGzfQ%20h9Q/BEEQBEEQOoeS73aHhYU1adIEMTejQYMGISEhKP/48aOVlRUvFYm6du0q8+j227dvs2fP3qlT%20J+4Tv4OOPX78eOPGjdFLq1at8vHx4RUEQRAEQRCELqCSu90yJPfnSKF9cgsSAnfu3CldujSuWNKl%20S2dsbDxhwoTY2FheRxAEQRAEQWg9Knm2m1AuTk5O9evXz5QpE/utAFhaWs6YMeP9+/e8BUEQBEEQ%20BKHdUNit1YSGhl66dKlZs2Y83JYie/bsjo6O/v7+NNMiQRAEQRCE9kNht1bj6upqbm7OA+0/yJMn%20z/Dhw2NiYnhrgiAIIhn++ecfbhEEQSSFtbX1p0+fuKMaKOzWUn79+uXl5XXgwIFRo0YNHTp0xIgR%20AwcOrFy5somJSbdu3SZMmDBy5Mj+/fsvWLDg2bNnERERfDGCIAgiKSjsJggiZSpWrEhhN8GJjo6e%20Nm1a+fLlPT09eRFBEAQhHxR2EwSRMhR2E5yEhISgoKCJEyeWLVv26dOnvJQgCIKQDwq7CYJIGQq7%20CQ6F3QRBEGkh5bD71q1bmTNnPn78OPdVw5YtW7Jly+bk5MR9giC0CQq7CQ6F3QRBEGnhr3e7CxQo%20EBoayp3/QKBcsGDBw4cPw27VqlXhwoXhhoSEIC9UqBBKUI5auGgpWSKxQYMGOHOXK1euePHirARc%20uHAB69++ffvIkSO3bdvGCqtUqYIF2ZsrHj9+3Lx5c1ZOEIRGoLCb4ECXIfQIu0uXLk1hN0EQRGpR%20IOzes2dP5syZ80q4dOkSSnBW9vDwiIyMRGMWLp8+fTpTpkyszdGjRxMSEsqUKePu7o6qsLCw/Pnz%20w7h48WLjxo1hgB49euzYsQNGUFCQlZUVlsqZMyerIghCs1DYTXCio6MRbY8fP97W1vb169e8lCAI%20gpCPlMPuJ0+eZM2aFbG1mwRExn379kW4PGjQILidO3c+e/Ysa2ljY3Pt2jXkzEWbnj17ok3v3r33%2079//6tUrROT79u2LjY11cXHBOrHmO3fuYA1oM2PGjBw5ciDURrOuXbseP3785s2biNofPXqEUP7Z%20s2dsnQRBaAQKuwkOwu7Hjx8j7G7ZsqWHhwcvJQiCIORDWX+pPHbsWP/+/blDEIQeQWE3waGwmyAI%20Ii2kPexev3795MmTFy1aFBcXx4sIgtAjdDXsZk+8Cci4MiRZywqTq2Jw/3dYeZK1yS2iE1DYTRAE%20kRaUdbebIAh9Rbfvdrdo0aJs2bLBwcHcT54pU6bw152LRMbGxrdu3eIVkj9358mTh9eJRCNHjuQV%20Enr37s0rRKIiRYq8efOGVyQmnjt3LmPGjLxOJFqyZAmv0E0o7CYIgkgLFHYTBJEyuhp2X7x40cLC%20AsFu9erVUw67XV1d0WzGjBncl4Bla9euDaNZs2YFChSIjY1l5cDBwQHtb9++jagaxvbt23lFYiI2%20lD179u7du8fHx5cpU6Zy5cq8QsLQoUPRHpEr93UNCrsJgiDSAoXdBEGkjE6G3cKzHK1atSpRokRQ%20UBBzk+TmzZuZM2eWDrvDw8OtrKxsbW1hd+rUydLS8vv376wKLFmyxMjI6P79+y4uLgijN23axCsS%20Ez9+/FiwYMFBgwYh7K5Zs2adOnWkH78bPny4sbHx8+fPua9rUNhNEASRFijsJggiZXT7IRMbG5tS%20pUpR2K0UKOwmCIJICxR2EwSRMhR2U9jNobCbIAgiLaQcdlesaD16xPi5MxfMmfH3VK9OA/beSoIg%209AndfsgEoXPp0qURL0oXynDt2jVEz9JhN2JlLNWwYUPYbdq0MTMzQyDOqsDSpUvR/u7duxcuXICx%20detWXpGY+PXrVxMTk969eyPstra2rl69Oq+QMGzYMMTruvt+x8jIyFu3biHsxqWI9D9HCYIgCHlI%20Oexu1Kjx43uvvvoE+30I/GuaMnHGwYMH+ZIEQegLunq3+/79+23btkVYDBo0aHDmzBle8QdBQUFH%20jx4dNWoUYvRWrVohb9++/aJFi+7du4fax48fOzg4dOjQoXnz5q1bt0Y+fPjwQ4cOhYaGYsG9e/cO%20Hjy4WbNmrKpz584rV658+fIlQnxEqHPnzsU+sNW2aNECAevJkydlXvyrQ/z48QMdNW7cuBEjRnz4%208IGXEgRBEPJBYTdBECmjq2F3TExMgIRv3775+/tHRkbyimSIiIhAM7RHjkWkHw6Jj4///v07q/36%209av0nW8QFhaGQlYVGBiYkJDAKxITY2Nj2QoZf90HLQdh97FjxxB248KDwm6CIIjUotKw+9fv8FKl%20ktxq/yxX0Q7Iifjz/74Dmt2fVKHYrv65lCo+csrr1J5O1p49UQDdfrabUCIUdhMEQaQFlYbdU6ZM%20mTVrFncSEytVquTu7q7++CM2NhZxA3dSw8qVK7NkyXLo0CHuK48aNWqk/BcvPcPX17devXrcURIn%20T54cMGAAd7SSuXPnZsqU6cKFC9xXNhhCpqam3FElFHYTHAq7CYIg0oI6w26QN2/eGAlHjx6tWbNm%20v3793r59izN6nTp1pk+f3qNHjwoVKpw5cyZOAgy4oFevXl5eXljcw8MDiyB8F4lEnz9/dnFxyZw5%20M8pDQ0M3bdqEltmyZcMW37x5Y2FhceXKFVQ9ePCgSpUqqGrcuPHz589DQkIQq9nZ2U2bNg2FWEr6%20Mcvo6GgnJye2Y+xv+tilbdu2sVoQHx9vZWWFrWMlnp6ehQsXTpcu3ebNm7Hm3r17Y0F8Lnw6XFpg%2037D+IkWKVK9e/fv37/b29pMmTcIaXrx40aZNG1SBGzdusNUKfPz4cdSoUajCJm7fvo2Se/fu4fOi%20xMbGBssGBwdjQ1jb5MmTUbh169awsDA0k3PHLl68mDFjRmdnZyyLlbx+/RrL4ivAUigBqPr58+e5%20c+fQsbjeaNu27fz583v27Ll8+XL0bbVq1bAJfCiE0devX69Vqxb26tGjR1jJt2/fFixYgDVgu+jD%20p0+fYmhhzahydXVlK+/YsSP27evXr7a2tiNHjhw0aBAKjxw5gh1DM4HAwMBly5ahavHixQ0aNDh9%20+jR2D9v19/fHvpUuXRqxZnh4OHoA3yP2BG3Qt2iDTe/fvx9j6datW2i5bt26MmXKYIVow7oLKzl7%209ixK0PNYCmB4SLYpC/YfH40tgm8zKipq3759cAG+ID8/PzbG1qxZ06JFCxRKf5X4upcsWYJCfIom%20TZpgiw8fPsyaNWtAQABGNYIWfB1du3ZF5+MTtW7desiQIVgnAvRdu3Y1atTo8uXLWAm2uHv3brTE%2053r37p2Pjw8G0uzZs7Eg1owvCB+wXLly+DZRgvZfvnyZN28e2mOj+C4kO6I0KOwmOBR2EwRBpIWU%20w25EMK4Xb71+9u7VE++/plHDxyI04UtK+DPsRjAXGxuLMCh79uwIwvr06QMNR3nfvn1PnDjB2hQq%20VAjBJYDBShD4IvyFcfz4cSyC4AMRIZuZAHE8coRZCDjETf8D4QsLu/PlyxcREQEDMSvCFBhbtmxB%20lCNulJiIpaTfAB0ZGYltYccQXyLyRolM2M1A4IjVIiwWZilAcDxixAgsiM+FT4fPyHZMABEkIj8Y%209erVQxjKCnPnzs0MgSQvVNgnffz4Mbtnv3bt2vHjx0sqE6tWrcr+9MX4646hpECBAqwKETZiPhiD%20Bw92dHRkhUWLFkVMCSN//vysBFFvu3btmI3xIHxNKEfg3rJlS8TBcPfs2QOXVTFKlSqFsDshISFP%20njysBIs0a9YMBvYfn4IVmpubI6ZkNkPYMfDvv/8ikoYh7BgC7mLFisE4deoU2zGErQhYYWCLiD5h%20sI719vZmPebg4IBOgCGAsBXRKi4qzMzMeNHvWFtbo8O5I7neYxE8wBfEvkqMMSFql/4qcfGJ6wFm%20o09YoI/9Z2H33r178XVgGLDPiMu/FStWwKhcuTK7CkJ3oRkGLQYqWuKiEdcnKMdQRM/AAPgScbmF%208FrY/x07dqBb0H7YsGFKn9iNwm6CQ2E3QRBEWkg57H748OGx48edobNygPBC+o9GN27csLCwKFmy%20ZK//QITBqhAxLFy4ECX9+/c/cuQISgYMGNC9e3dEwyhEkCS+Hx4TA0OyXK+hQ4devHgRzVq1aoV4%20CIKPKBYrYTdBEcMhIJsxYwZaIkC5fPkyAuWsWbM2btwYYShil969e6MKYTQinqdPn1aoUMHU1PTm%20zZuIFDNlytS0aVPh7qCwYwi7Ef3AQPSJuMfd3Z01EHjy5Il0xIYwDjuJ9tgfhFxRUVGrVq2Ci8sJ%207AziYPQDegN9gs87cOBAVAEh9BRwc3NjnTB69GgWjG7evJntP/oKAeijR49w8VCkSBGsE5FWxowZ%20EchKP6+S8o7hAxobG8+ZMwcliLYRuaINrk/QpSgBixYtQsCHaxu0nz59OiJ1XJmYmJigKmfOnOgW%201udv3rzZunUrmmGdcNFpCBknTpyIZgj7ELAuWbIE5QiLcSWzevVqybrFW0TUji8I+49PgUWWLVvG%20doxdWjAQLiOuRXt8p+h8DC0U4sNic+hPnPGNjIwwABo2bMh2rGDBghgVCPHRyW3atMFnxDpR3qJF%20iwwZMqxZswadNmbMGJSMHDmSTXqGLwVr69KlC1pKzxongK5Gh2ORefPmwcVFIAy4AF8QviZhjAUG%20BuLLwnqEyB6bmDRpElrOnDkTXzrCZWwdDRCC42PiI6OqQYMGuBCCUbx4cVy3vHz5EldK+CpDQkLS%20p0+PYYzwZsGCBWiAHsAghIEBif7HqEDczz4g4ngYaIyRjI3iQEAhvkqsDbsxduxYrI3tUhqhsJvg%20QNpOnjw5YcIEHEufP3/mpQRBEIR8pBx2qw2EU4iJuUOoknz58nFLF+jcuTO7NiA0CIXdBoqnp+eq%20VatwPYdrd1xW4voSF3ktW7bEZa6VlRUu8nBth3KAqz0wbdq0ffv2yUzzQmgJn3w+bdq0efLkyTPU%20yPTp0xctWnzt2nW+EwRh8GhD2B0UFPTu3bu3b9/q+uRa2o+3t/eHDx/ev3/Pfe3m+/fv2FUMDOl7%204YT6obDbQAkLC4NkvHjx4qkEd3d3Nzc3BOI9e/bEBfG5c+fevHnDqhivXr3CQImTmniR0B7Onj2b%20MWPG6VNmP7zz/PrlO9dc3FSdHrg9O3HkbPly4is0vhMEYfBoyd1ugiC0Fgq7CQ4uhdevXz927NgF%20CxawP1sQugIukxB2Oy5fFxkcL+c8CWlM4UFxzx96IOzu27cv3wmCMHgo7CYIImUo7CY43759W7Fi%20xZgxY5YtW8b+v0zoChR2E4Q2QGE3QRApQ2E3wUHYvXLlSoTdDg4OFHbrFhR2E4Q2QGE3QRApQ2E3%20waGwW3ehsJsgtIGUw+7JU6YMmbRo5MxVI2es/GsaMn6O42rZGfEIgtB1KOwmOBR26y4UdhOENpBy%202F23fsPmE507LLxpt+D6X1O9/qu6de/JlyQIQl/Q1bD7169f3PqdJMtTKExuPSmgwCI6AYXduguF%203QShDfw17G42/rDd/Gvt57n+NdXtu4LCboLQP3T7bvfixYurVatWtWrVEiVKtG3bVuadqEAIkbdt%2021aqVClra+vSpUvXr1//7du3rBz4+fk1bdoUtZUqVSpZsuSaNWt4hYSFCxdaWlpWqVIFm2jTpg17%20TRFWq3/BN4XduguF3QShDVDYTRBEyuh22N28eXNEw/7+/rBjY2OTDIVv3bplbGw8Q/LC0oSEBORB%20QUGIvxFDw+7atSsCcRZlxsfHI1+yZEm2bNkePnx45cqVTJkybdy4EYVYOXJvb+8iRYr07KmfUkhh%20t+5CYTdBaAMUdhMEkTK6GnYjzihatGjevHk7dOhw7dq1FN6eePPmzcyZM7Owm4HGVlZWtra2sDt1%206mRpafn9+3dWBRB2GxkZ3b9/38XFRSQSbdq0iVckJn78+LFgwYKI1LmvX1DYrbtQ2E0Q2gCF3QRB%20pIxOht3Sd7UDAwOnT58+ZMgQR0fHoKAgXioFhd1y4u/vP3/+fITdGzZsCAgI4KWELkBhN0FoA+oJ%20u48ePZolS5bx48en6i3fOFc2bNiwcuXK3P8b165d27VrF3f+xvnz5588ecKdxETIwsqVK7mTIvgI%207CdlhrOzc8+ePXH+5f4fvHnz5tixY9whCB1Etx8yERgwYECOHDnc3d25LwWF3XLi6+uLmHv06NGH%20Dx9O8gKG0Foo7CYIbUBtd7tLly7t4eHBbJzFQkJCEE87ODicPXt2xYoVrHzQoEH+/v5t2rTBaZ6V%20PHv2rEqVKszevn07yu/evcvcdu3axcXFoaR169Zwb9++bWpqamJisnPnTtYARzpqf/78yVwE8XCr%20Vq26ePFiuMuWLROiYayhVq1atWvXZu6LFy9mzpx548YNtD9x4gQrFPj161f79u2ZjZM1VlitWjV8%20ClaCs21kZCRWVb9+fVZy7969iRMnMnvhwoVYJ2qFIAaunZ0dswlCO8Eo1Yewe+DAgQiIBRmSRoGw%20O0OGDIYZdiPmBkeOHAkODualhC5AYTdBaANyhN1H7OZfbz/v6l9T3b4r5Qm7X79+nTdvXoTXV69e%20RQAaGho6YcKEBQsWBAUFVahQ4dSpU6w92zHErIhrYYSFhSEUNjMzMzIyQkD89etXrASrQpW3t3eJ%20EiVgbN68uX///jDAt2/fmjdvjvY4J8bExOBkUbhwYZTHxsb++PEDp1R7e3t2rsSyWAMMhMt58uRB%20KL93717sGJuN4N9//92yZQsMgefPnxcqVAgGdtXGxoYVdu7cec+ePdhokSJF2IUBPg5Ovtgc9qpt%2027YoGTBgwOrVq2Hg9I2twHj37h32MH/+/OwzEoR2onthNw4wyMShQ4eOHz9+4cKFVatW4eL44MGD%20rPbPf1W6u7vj8hfXx7iAPnnyJPLDhw/jqJ43bx5qHRwcUHvgwAGU40Ic4cv06dNxVEM4IActW7ZE%20s/Pnz7MqCEGbNm2Eewl6BoXduguF3QShDaQcdkNj38iNl5cXIlq+5O8ghC1evPitW7cSEhLevn1r%20YmKCqPTSpUu1atVCBDx+/PjJkyf//PmzSZMmuXLlwokMUTWi4fj4eAhF+fLlsVqcxcaOHRsQEICA%20GGdPRO1YCVaFFWK15ubmaLNx48aBAwdiVWjQpUsXhMVojxX6+PhghVgPltq5c2fv3r0jIiIQdi9e%20vBgbxT7cuXMHVQiCy5Qpg/M1Fmc7FhUVhbMtNi3cMgeenp6IzrH/Fy9exOkVC4Ju3brhFI/TkKmp%206ePHj7FXr169QjyNqu3bt+NzYW3jxo3D6RslNWvWZD90W1hYYA+vXbuGD4v9j46OxkUI2wpBaA+6%20F3bjiEVcuHTpUlzpLlmyxNnZmZUnOY2JUPjgwQMcoo6OjsuWLYOaSIeVOIBx/c1qkbu5ufEKCa6u%20rmxbyCEx0nqhZ1DYrbtQ2E0Q2kDKYbeaqVat2tOnT7lDEIR2oCcPmRBph8Ju3YXCbiJVJHmTgkg7%202hN2L126tHv37u3bt5d+hJIgCI1DYTfBobBbd6GwW+dYtmzZPzlzZsmQIZuRUdYMGdSQsKHM6dMX%20KVLkz7+1EcpCq+52EwShhVDYTXAo7NZdKOzWOSZMmGCcMeO/5sXHli0zrHRJ1adS48qWaWVaOH26%20dLt37+Y7QSgbCrsJgkgZCrsJDoXdugsLu7dsEE/1FROaGBWSoOqU+Cvxo9fXClbWFHYrxqRJk3IY%20GXUuVnRYqZL9S1iqISHyblaoEMLuPXv28J0glA2F3QRBpAyF3QRHCLsPHz5MYbducfHipZw5/8mW%20LVumjJnURubMmY2Ncw4ePITvBJEaKOzWSyjsJggiZSjsJjjv37/v2LHjqFGjbt++HRERwUsJrUcb%20/h5Hf9FLLRR26yUUdhMEkTIUdhOcd+/etW3bFmH3w4cPIyMjeSlBECqAwm69JOWwu1gx8z59ROPG%20pR879u+pVy+RtXUpviRBEPoChd2GRQp3JQMDAzt16jRx4kRPT09e9Dt0R5MglAWF3XpJymG3uXk5%20Hx+cEOVKnp6iOnUq8SUJgtAXKOw2OH78+DF8+HBTU1ORhHRSJFmSPXv22rVrnzt3ji9PEESaobBb%20L6GwmyCIlKGw27BI4Y51cHBwp06dEA28efOGF/0O3e0mCGVBYbdeQmE3QRApQ2E3wXn37l27du1G%20jRr14MEDerabIFQKhd16CYXdBEGkDIXdBIfCboJQGxR26yXqCbu7du2aIUMGkUgUGhrKixIT3dzc%20UJIlSxYHBwdelJjo5+dXtmzZkJCQhISEgIAAXpo8aHb16tXSpUtzP5V8+/bN3Nzcw8OD+7+zcuVK%20yayjxgUkPHnyBJsrVKgQdrtly5bPnz9HFRrs3Llz/vz5RkZGuXLlYi1NTU0/f/7M15I83t7erH2b%20Nm12797du3dvJycnrDBHjhyPHz9u27ZtunTp8ufPj97ImzcvbNYYTJ06VYHJuypUqJA+fXpmY+fx%201WfMmBGfcd68edmyZcNqUZs7d24Y+LLQ5vXr1w0aNGDtCUOGwm6CQ2E3QagNCrv1ErXd7S5VqhTC%20aASU0dHRcCHaVatWdXFx6dy5M2sAENciFmf2sWPHEALevn2buf7+/pckSAfuV65cuX79elBQkBB2%20f/nyhTULCwtjJQDNsCEEstyX8P79ezSDgWAU8SUrRMmdO3eYzfj333+F4WdiYoJtARisZNeuXcL+%20N27c+OLFi8wGCIsRhXMnKbJmzcotCfjgCKZhdO/effPmzawQ0TY+OAwfHx9cHrBCBppt3LiRO/+B%20vr18+fKNGzdevXqFrrh27RquSaSvXtD/NWrUuHnzJuyjR4+2bt2alTPKly//4sUL7kguaWQ6jTBM%20dCzsFh4vxkX82rVrV6xY4ejoiOtLd3d3Vi7z/LHgQpWWL1++evVq5Js2bZJ+HUx4ePi2bduWLVuG%20WuSCMDFwmDk4OKxZswZVEIWfP3/yCr0Dutm+fXuE3ffv36ewmyBUCoXdeslfw24/v99i6xSSt3dK%20YTciY29v7wkTJuzYsQMhKU5SS5cuReRnb2/PGiBsHTp06Pbt20UiEUJbnApNTU1Z1fr167t27crs%20OnXqnDlzBkbmzJlZSfPmza2trWGsWrWqV69erLBatWosCMbatmzZAmPhwoWSGjGjR4+ePXs2jCVL%20liASffv2LWy0xNanTJkibBcMHjwYlweIrUFcXBwrRCBbrFgxV1fXRo0asRIgE3ajjZmZGXeSIl++%20fMndscYnunDhgqWlpa+vLyv5M+zu0aMHwgDuSIG4mfXGy5cvccwiBGflDFzJIMfaChcufO/evVat%20WrFyhnTY/ePHj2bNmqEbmUsYMrp3txuHFrSgXbt2zs7Op06dOnHixMmTJ0eMGIHDJsnfoXDl3bFj%20x4kTJ54+ffr48eNY5ODBg9Cm+fPnoxZReIcOHfbt24faY8eOIZ8+fTqiTyja8+fPcfE6d+5cqBKr%20QtiN7UKM2Jr1DC8vr/r1648cORKfXY+vLghCG6CwWy9JOez+999ugwebjh1bSJ40cGDh/v278yX/%20oFy5cl++fIGRKVOm0NBQFv/hnIjzoKQ+sVatWuwWEgLiyMhIRN4IbdFywYIFOJGlEHa3bds2Z86c%20a9asQXj9Z9iN4B75vHnzjIyMJDVihLB75cqVxsbGWENYWFjGjBlRgnB/8eLFklZi+vXrd+DAAe78%20B0JStBk7dixO5bwoMRFBqvQtsD59+uzcuZM7SYGgecCAAcxGTIMPePjwYebi3I2V4zpBuN2GLSIK%20ZzbA+X3YsGGvXr3i/u+cO3euadOm6I0hQ2TfyJsnTx5mhIeHd+nSpVOnTsxlILr6+PEjdxITYaOE%20O4QBo5MPmcTExMjEhTjeTExMhN+2pLl58yaEacaMGdyXHCFWVla2trawEZFbWFh8//6dVQFcr2fI%20kOH+/fsuLi64Xt+0aROvkBw2BQsWFARLz/Dw8MBowAXMt2/fEhISeClBECqAwm69JOWwW1ncvXv3%208uXLCJdjY2Phsqc7AgMDESAiOBYerb53796pU6eYHRcXx56XYK6fnx+qQEhICCsBZ8+eZbE1Tn+s%205PPnz6wZ4lRWgvMpXLZFaby8vFAeFRX18OFD4UdmlFy/fp3Z4M2bN1g/dlL6hMvA9cCDBw+4k5j4%207NkzbAL7I972qVPswgDg3D19+vQUnpBm7WV+sgbYK+GToisQiKM3WGPw/v17VpUce/fubd++PXf+%20A58FKzl//jxzAwICsNvMBuh8hBDYc4QrcJHDRgnKWQPCYNHJsFsa6M67d++GDh1av379JA8eyASu%2045MLu3F5iqtembAb1/GGGXZXqFABYTd6g8JuglApFHbrJeoJuw0WhPW4YOCO6sG2ChcujO/0z5ib%20IBRGV8Nu4Xr6zp07CI5xDmOuUC5AYbecUNhNEGqDwm69hMJugiBSRifDbiG2HjRoUNWqVa9duyaU%20UNitMBR2E4TaoLBbL6GwmyCIlNHVu93sD9rCX4979+5tbGyc5LPdt27dypEjBwu7WVAeHBxsbW3N%205vrp0qVLqVKlvn79CpvFmgi7s2bN+uDBgytXrmTMmJFNKsT+c/327VszMzPhPyt6BoXdBKE2KOzW%20SyjsJggiZXQv7I6IiOjbt2/ZsmVtbGxq1aqFALpSpUrIe/bsKUwPJCDc/N6yZUuJEiUQVpYsWbJu%203bpshiOGn59f48aNUYu+sLCwcHR05BUSFixYYG5ujk2gqlWrVuxvGVitsGa9gcJuglAbFHbrJRR2%20EwSRMjoWdv812E2yQQqFKawwuaoUFtFpKOwmCLVBYbdeQmE3QRApo6sPmRBKh8JuglAbFHbrJSmH%203bNnTCtZuqxFiVIWJf+erCpUfPLkCV+SIAh9gcJugoOwu3z58gi7AwMDKewmCJVCYbdeknLYXdyi%20xPvDsxJvrU24seavacGgtgcPHuRLEgShL1DYTXCeP39uYmIyfPhw7hMEoTIo7NZLUg67zS1Lvj04%20M+HG6thrjn9N8we2obCbIPQPCrsJDsJuY2NjCrsJQg1Q2K2XUNhNEETKUNhNcCjsJgi1QWG3XkJh%20N0EQKUNhN8GhsFtvWLVqVc6c2SwtRRUqiMqVU2uqWFHUuHGRr18/810hkoHCbr1EPWH3ggUL+vXr%20Z29v31HCoEGDeEUamDBhQlRUFHcIglAZFHYTHAq79YaZM2eamop8fHDoqTuNGCEqX768n58f3xUi%20GSjs1kvUdre7bNmyHz9+ZHZAQEDBggWZrRh37941MTEJCwvjPkEQKoPCboJDYbfeMGvWrEKFRC9f%20/hYQqycNHkxht1xQ2K2X/DXsfndw5q+bq+OuO/41pRx2V6lSJU+ePPkllCtXLjAwEIVHjhzp3r07%20zuigXbt2CKZbtGghEokKFCiAQ/LDhw9YytfXd+3atUznBw0atHHjRjSuXbt2hgwZIiMjsZ4KFSqw%20NaxcuXLMmDGSrREEoTQo7CY4FHbrDRR2az8UduslKYfdQUFBXl5eb+QDLaOjo/mSf1CmTBlvb29m%2043ArUqQIjN27d3fu3JkV2tjYnDp1CkahQoVCQ0NhvH371sLCAsaOHTt69eoFo2PHjk5OTjAQbefL%20lw8NAgIC0B4lABE5a0YQhBKhsJvgeHh45MyZc9SoUdwndBYKu7UfCrv1kpTDbmUxaNCgqlWr4kAr%20K6Fhw4a8IjHx5MmTrPDatWtw7ezsqlWrVqFChfj4eLifP39GFc76lStXRlSNknHjxqEE1wNt2rQR%20L5+YGBwcLFlB2RkzZrCSkSNHnjt3jtkEQaQRCrsNCzc3t6lTp/bq1atz585dpejTp0/Lli0zZMhg%20aWnZo0eP7t2729vbd+vWDYK7f//+2NhYvjyhC1DYrf1Q2K2XqCfsJghCd6Gw27CIiIj48uWLj4/P%20x/+AzTh06FCRIkVGjBjx7ds3hE2s1tfXNzg4+NevX3x5Qhcw8LBbI8M1tRulsFsvobCbIIiU0e2w%20OzQ0VM6gEOFmQEAAAkrk379/j4uL4xWJifHx8YGBgUJteHg4r5AQFhbm7+/PqoKCgvT1rek/f/68%20dOlSmTJl5syZw4sInYXuduOKsVGjRlkzZ8z7T3akPKpJef/JkT1LpkqVKj158oRvWG4o7NZLKOwm%20CCJldDXs9vX13bx5MzSuSJEi7E/cyYFY+dixY6NGjbKxsWnRokWzZs3atm27ePHiBw8eoBbny2XL%20lrVv357VIh8+fPiRI0cQ0GPB/fv3Dxo0qGnTpi1btkRVx44dHR0dnz59ytasTyDsdnFxobBbP6Cw%2028vLy8zMbEZv20T33YkvdiQ+3qL89Gxb4pu9Gyd0yZYt261bt/iG5YbCbr2Ewm6CIFJGV8PugICA%20Q4cOWVpaWllZBQcH89KkuHbtmkgkEv4dAuLi4kqVKsX+htK6dWucnqXvcC9duhTt7969e+HCBRhb%20t27lFYmJ/v7+JiYmdnZ23NcjKOzWJyjsRthdrFixCd2aJN7dkOi2TmZGZKWkhJtrEh9uXjHCLmfO%20nG5ubnzDckNht15CYTdBECmj2w+Z2NjYlCxZMigoiPtJcfPmzcyZM0uH3QiyEazb2trC7tSpE2L3%2079+/syqwZMkSIyOj+/fvIwxF2L1p0yZeIfnlumDBgl27duW+HkFhtz5BYTeF3X8mCrvVAIXdBEGk%20jM6H3aVKlaKwO+1Q2K1PUNhNYfeficJuNZBy2F3Gqqoom2X6XOVTl0wqiEQ5u3fvxtdCEIQuQ2E3%20hd1iKOzWJyjsprD7z0RhtxpIOeyu09hOZNpVVLxv6pL5QFG2mv369OBrIQhCl9HJsFuYuqRVq1Zl%20y5ZldnLzmbi6uiJ6lg67gYWFRe3atWE0a9asQIEC0vNSOzg4oP3t27fPnTsHY/v27bxC8h6B7Nmz%20Y6Pc1yMo7NYnKOymsPvPRGG3GqCwmyCIlNHVu93Ozs7p0qVDWMxYvnw5r0iGKVOm8KYiUY4cOW7e%20vMkrEhMfP36cJ08eXicSjfxfe/cB1sT5+AE8KgKKWhEHy4l7oaKg1llFW7XOqrhXRRx1r2rrAvcW%20Z911z7rF2VpFHD/3wo1iXSAgirIk/2/yvs0/RUnrAHPJ9/Pck+cdd5f3Lsnd90IS+vSRHVodOnSQ%20HSpV3rx5g4ODZYdpYew2JYzdjN1vT4zdaYCxm4gMU/a73foM/Hq3gflT6hJk/Z9Sale0mJiY3bt3%20lylTZty4cbKJFIuxm7H77YmxOw0wdhORYcr+bDd9KqGhoatXr65du/acOXNkk9EwquscRVx0MXYj%20dufLl29kx3rqK8vVF5aq/7fo00/nFquv/zpvYEvGbtJJ+9h97969x48fi3JMTAxO5ziYR0dHo/rw%204cPY2FjR9cnFx8cne5mHhYVhALJCRClg7CYNPAl+/fXXOnXqzJ07VzYZkytXrrRq1ap48eJOTk6I%20U2nJ2dkZt66urkOGDk32H0yNFmM3YneBAgWyZbbOb58jXx7b1Jvsc2TDvRzjv8shrbSP3UlJSdmz%20Zw8MDBTVWbNmDRgwQJR1rKysZCnVTJo06dChQ7JCRClj7CYNPAlWrVqF2O3v7y+bjMmff/6ZJUuW%20so36ec280GLSieYTA9NsajXtTIuJx53L1q1UqZLh38wxHmYeuz/LXyTe904Zu01S2sfu58+fOzs7%20R0dHe3l5BQQEIHb37t0b7du2bcuaNeu5c+d++OEHS0vLTp06YZ4ePXrkypVr3LhxrVq1cnR0FN+J%20GjVqlEqlCg0NnTZtGgpjx47t379/cHDw4MGDu3fvPnz48AsXLmC2DRs2tG/fHgtinpiYGKzWxcUF%207RcvXhw4cCDaYfTo0eHh4YsXLxbrQUuHDh02bdqE2YhIYOwmDeOP3dmyZSvzTe/vJp9s6vt7k7GH%200mxqPiGwybjDTqVre3h4MHb/62Qk73YbP8Zuk2Q4dpcs66HKUkqVo+J7TensPFSqHK1btpBr+SfE%207jx58qBw7969MWPGVK5cediwYaLL3d09KCgIBTs7u4SEBBQuX76MRm2nGul88uTJoowAHRUVhQJC%20uWjBnEOHDvX19a1UqdL8+fPRgtc1Erbohbt375YsWRKFmTNnent7i0YcJMXPFejWc+bMGVdXV1Em%20ImDsJg3G7pQmxu73mhi7/yPGbpNkOHYnJSW9+RCJWFSu4p+wwooVK6pUqpYtW4qWSZMmde3aFYXh%20w4ejvUiRImFhYRYWFlWrVl2/fn3x4sXRiC7McP369R49eri5uS1fvtzW1nbp0qWI7Oj99ttv0fv0%206dOJEyeiN0uWLLlz58YR+OTJk56enmjZsWNHREREsWLFMHP//v1x7vjxxx/RDjh9IL5jDeiqVq0a%20DphFixZFefDgwZrBERFjNwmM3SlNjN3vNTF2/0eM3SbJcOwmImLsJg3G7pQmxu73mhi7/yPGbpPE%202E1EhjF2kwZjd0qTQmO3k5MqJOQfgThtpt69Gbv/E8Zuk8TYTUSGMXaThjH/bjcwdr+Xn376KWNG%20VenSqqpVVe7uaTR5eGim/PlVRYo4P3gQKodCKWDsNkmM3URkGGM3aZw/f3727NmtW7detWqVbDIm%20jN1kYhi7TRJjNxEZxthNGqdOnZo6dWrHjh03bNggm4wJYzeZGMZuk8TYTUSGMXabEQP/0SM4OHje%20vHnff//9rl27ZNM/fZZ/QaLD2E0mhrHbJDF2E5FhjN3mZdOmTTVq1LC3t8+SJUt2PVmzZs2UKZOl%20paWNjY2tra1oQaFMmTKjR4+OjY2Vy38mjN1kYhi7TZLh2D106NAtW7bs379/34c6ePDg8uXLW7Vq%20dfPmTblSIlIUZcfuly9fIglBeHh4ZGRkYmKiaI+OjkaLaH/+/LloFJAgxSJCfHy87DBvly5dmj17%20dpcuXX777TfZZEwYu+ltcXFxeHXjhR+hKDExMTgK9e3b93PF7gULFmDvRUVFyQFpRUZGiX9kSB/D%20cOyeNWuW+GeQH+P27ds4UAcHB8s6ESmKImO37gMPX3/9tUqlqqHVsWPHp0+fImcvX768bdu2aPH0%209MStl5fX0qVLsZFI2AcPHhw+fPhXWrVr165bt+6oUaP++OMPnL/FCs2W+Gx3hw4d1q9fL5uMCWM3%20vW3OnDkWGS1VmRxVWVxUNgWVMxXSTBmyZs2Y4bv8edMydtdztE+PI2ZGu3/usUKafWiRZc/efXLP%200odi7CYiw5T6bvexY8dq1aqFM0jJkiVlkxZiNBp///13WVerg4KC0DJhwoSwsLDs2bMjhcsOrTp1%206jg4OCCvy7q5YuxOaWLsNlqTJk1SpbdSOTZRFe6tKvi9YqZC3ioXH1XW0lnSq77L55ym73bb59LE%20brvqmj1WqLt2MN015ZzVMmXKdODAAbln6UN99th99uxZb2/vTlpjxoyxtrbG/LLvE4mPj1+4cKGs%20/JuQkJCffvpJVtTqzZs34xR87tw5WScyP0qN3QkJCdHR0SgEBATghOHn5yfafX19LSws9u/fL6qA%20xGZlZTVt2rTw8HBHR8d27drJDq369eu7uLggkcu6uWLsTmli7DZakydP1sRuh0aqQj1UBTorZirY%20VZN3s5TMkuFzxe4vtXusi3Y8XTSXAXZVGbs/ic8buxcvXty8eXNZ0dqyZYvuY5bNmjUbPHiwKB/U%20WrduXfv27TGkfv366T5vGRsbizknTpwoqjgjICXPmTMHjS9fvkRLixYtcErt3bu3mOHkyZPowtpE%20FXr16oWWnj17ohwRETFq1CjRvmvXLpx/W7dujSwuWvr3749b/YERmTxlf7Zb92mTrl27Im2HhoYu%20WLCAsfsDnD59GruIsfvtibHbaDF2v9fE2J0GDMfuuXPnfvwHGv/6669u3bq9M3avXLmyZcuWsqIH%20kRoPu7u7e9GiRcuVK4fjGII70jMyccOGDUXCzp49OwI6zpJiznz58n377bcPHz7EDAjQ4k2uPHny%20PHjwAIXcuXNr1qtWY/7p06djfmz4kiVL0IIF79y5gwLOKdhYnJHd3NxQ9fPzQxzXLKONHSdOnAgM%20DMRR/dChQ2g5e/ZsqVKlRC+RaTOd2G1paYkjwvz58xm7P8DRo0dxWPT29uZXKpNNjN1Gy6hjd/4u%20qvzdVAW7a0JtssnFR+XSS5W1dNYMqjYF8vUrUdynaJE0mHBH3zjm1sTunDVUhX/4//EU7qPKWR2x%20+/jx43LPfrTP+3ujn5Hh2H3u3DlkTeznj4E1XL169Z3x/fXr1ziMDx8+XFTr1q27e/fuhIQExO4c%20OXKg5eLFi19//TUKvr6+AwYMQKF27doBAQEoIFK/ePHi6dOnzs7OqKKxQ4cOKOCkMHPmTBQAkRqh%20/9WrVw4ODsjW9erV27lzZ+PGjdGFU/C8efNQQLK/du2aKOD2zJkzrq6uKEyaNEn3BnmFChUQu1Gw%20s7MTX+RFVaRzIpOnsNj99tH8xo0b2IY+ffqIH1QSn+1GiBS98L///Q8t48aNwwHF2tq6devWskML%20Bx0cj/jZ7l27dg0ZMmTo0KH6fys0Hozd9DZjjd0I3F0cyzQrXKKiSmWDg49KleGtyULbrpHxrb5U%20mnBHejAAXY9mMOnTpy9RokS1atUqfwRPT8/Zs2eb8y+iGI7daQYnyrfPlW+3JKObwcCc7+wycF/J%20ulBN1qWrEpkJ5b3b/fz5c5wbxKkDcKyPjIyUfVq4ZK9Ro4bsVqmQliIiImSfWu3v7y87tNauXSs7%20zNvOnTsHDx48bNgwxu5kE2O30TLS2F2wm+YzJCrHAvkcb928IcdqBuLi4uprffaf+f+MjCR2E5HR%20Uvy73UKyC+i3GbiwTmkRs8LYndLE2G20jD923zSn2I20zdjN2E1Ehin7s930qTB2pzQxdhstxm6j%20wtgNjN1EZBhjN2kwdqc0MXYbLcZuo8LYDYzdRGQYYzdpMHanNDF2Gy3GbqPC2A2M3URkGGM3aTB2%20pzQxdhstxm6jwtgNjN1EZBhjN2kYf+zOmjVrucYD2/oHt5p2tuXU02k2ec261HLq//KWq+fu7s7Y%20bVQYu5P57N8Ob6QlK8YqVfeS4dhdvmzZQra2pezt33cqYpejsKPjqlWr5IqISLEYu0kDsduYf7f7%202LFjOXPmTG9haWFlY2GVOe2ndOkzVK9eXf+XKOmzY+x+pz7DRljY5rTJnMnGyjJLJuu0mjLZWFun%20V6ksLCxwhZzNmNjY2GTPnr1o0aITJkyQ+yjVGI7dDerU8cqfr9tb/0DU8IT52+XPVy1//qXLl8sV%20EZFiMXaTxooVK7p27Tp9+vSzZ8/KJqNhVL/wyJ+bNB6M3e/UpnlTVaasZcfM95i3teK01Zw85m4t%20N3ahjXPBtm3byn2Uahi7icgwxm7SWLx4cceOHefMmXPhwgXZRGTcjDt2OxQq4Pzo0UM51jTUqU1r%20lVWW0sNnIHGW91vMCfuhzIiZmZ3yt2/fXu6jVMPYTUSGMXaTxpIlSxi7SVmMOnZnLmZloargWrLG%20l+5VPdzSZqpWtVLVym62NlaWuZ0QNBm7xcTYTUTGg7GbNBi7SXGMNHZ/xglxv0AXVXr7zPb2jN26%20ibGbiIwHYzdpMHaT4kybNk0Tux0bq1x6ad9jNvupkLcmead3YOzWn8wkdp84cSJbtmyWlpb2WkuX%20Ln39+rXsS2V+fn64BpYVtRqRolixYmn5O5KPHj1KTEyUFbUaG75gwYLOnTvL+r8ZNWrUzJkzZYUo%20lTF2kwZjN6WZiIiIZcuWjhgxon///gM+yKBBg4YPH169enWVhrMqXXGVqkgaTOlsSqb7opQqm7FO%20X5TW3KosbBzzMnbrJvN5t3vFihVt2rQR5a+++uq3335DAXEctwcOHMBtQkLCHq0bNzRf9r106dLh%20w4f37dsXExODwh9//CFmi4+PxzxXrlxBWTh37hxafv/9d3SJFlQDAgKwBpRDQ0Pv3Lkj2oOCgv78%2088+9e/eKKtIwzikvX77E/CEhIaJRH+YUq8IAxBf6MRtaoqKixAywf/9+zHby5ElRDQ8PxwwQFhaG%206vHjx3PlyrVq1SqRvJOSkrBFYgPh1q1bWNXp06fj4uJOnTqFFtwXVoWZsaCY5969e7qxBQYGYs1H%20jhwR354Xe0xsJtEnocjY/c5fk9BvTGmGlNplyYwxdlOauXbtWoECBaq1LOh38OuxAfVH7fT8uKlu%20Gky+BzDOuiW/zF2hQgVEkMePH+N0bmwePHhw9+7dpk2bZnbMz9itm8wndm/cuDFv3ryttURSHDJk%20SKZMmb777juUkUTt7e21M6rHjx/fo0cPFKpWrXrmzBkUkNH79euHQnBwcObMmRcuXNioUSOxYN26%20dbds2YLCTz/9FBkZiYxuaWmJ6l9//eXv748sW6JEiUmTJqEFBbE2sLCwQN6tV68e9sns2bPRgsvs%20kSNHil4BF82igOdtyZIlUdi9e/fQoUNx705OTsjHaME8YnHx+49r16719PREARo2bLhy5UoUcDzB%20qFDAkDJkyIDFcfmB3oMHDxYsWBCvWbxgx40bh13RrFkzzGZlZYWRYOS4dMd1QrFixWbMmIH2IkWK%206PYbgsHTp0979eqFtWF/enl5oZ3o4yn13W5c2mbMmFH7XpeGn5+f7Pjbpk2bZJ/W9OnTRbvmD9N/%20S58+/dKlS0W7mWPspjRz9epVZ2dnz25FF934bt6V5nPONzX+aeH1Frgt7+mEmKL/PpwR6tChA2O3%20/mQ8sbt8mTKlsmatlNPufaeyX2QrnDPnsmXL5IpSsHnz5nbt2snK35Bf37x5g8I7YzegMSQkBCMX%20T+zLly/nz58fhStXrqxYsQIFXexGLo+IiNDFbkSHMWPGoDB69GiRifVjN06vuL158yZSr2j58ccf%20cf4VZQFReN68eQsWLNi2bZtoGTRokEj/33zzzbFjx1DAUHGLWJ8uXToU3hm78+XLh1H5+PiEhoba%202dmhBWPDalHAZi7/+3IFs8XHx0dHRzs4OKC6Z88esSrdwHSx29vbG7H72rVrWbNmRRXXJP/9IytE%20hikvdr98+RIBcdiwYbKuhZcEYrR4wSQkJODlimtTtIi/sgnXr1/HdXCrVq1kXatWrVq2tra4qJV1%20U4cD6+3bt5F7cGzFURWwW4KDg319fZs0aYKjz9atW9GCw43ovXjx4p07d+Li4uTyRB+NsTtVMXYn%20m4wndgMS8IeRy6fs2bNnAQEBBw4cwAFcNmn/v+/hw4eRL8UfdXFy3KWlPw9kz5798ePHsqJW44CP%20eXCOkHW1+uzZs2jR/8swqkFBQSggQOzXevDgAarHjx/X3MGuXSjHxsbirg8dOnT+/PmHDx9inn37%209qGgWV4rR44cCNxi/hkzZgwePBiNd+/eRfXgwYN79+5FmMa97N69G8uKRSA8PFwsojtxnzx5EvOI%20MgaJLvF5lVu3bmGH4E4jIyMxMLErkLxROHr0KLIE7gUz6w8M4QEt2jVpiD0mdiwuTnBCRLKXfUQf%20RGGxW/9lD7qDUdeuXXWxGy8qvAJxgbtx40aE7549e4p58ArMlStXsjcD6tev7+LiIj4iZg7OnDmD%20y/ohQ4b07du3v9agQYMGDhyIyw9c6OPSHxcwqA4YMED0+vj4YH7sOiZv+lQYu1MVY3eyyahit1EZ%20OnSovb09Tp3Xrl2TTWnr3r17Tk5OGAM0atTIfE7EZM4U/5XKwMDA3LlzjxgxQtbfgitmpO158+bh%20Je3g4GDmsTsxMREB+rUeXLqgccyYMcjc69atu3v3Lq5b9OdBGfMku+Ah+mCM3amKsTvZxNhNRMZD%202bH71atXGzZsKFy4sPjKxTsdO3bMwsJiypQp4eHhjo6OZh67U+Ln54ddsXnzZv2/ABKlBsbuVMXY%20nWxi7CYi46HUD5k8evRo1qxZ3t7ec+fORfXy5cvz5s1DsBa9Ort27erfv3+vXr3Onj0bGhqaOXPm%201q1byz6tr776KleuXObz2e6UMHZTmmHsTlWM3ckmxm4iMh6K/Epl586d06VLp1KpkJjd3d3LlCmD%20srW1NYL13r17CxUq5KJVvHhxX19f3afW4uLicL4fNWpU4cKFixQpImaYPHnyzZs3ExISxDxmi7Gb%200gxjd6pi7E42MXYTkfFQ5IdMklLwdq9oSUb2ackms8fYTWmGsTtV/R27Z1Wctqa83xJO2A/YG5md%20CjB2E9Fnp/ivVNInwdhNaYaxO1WNmzCxdFlXDw+PyqQldoW7u/vkKVPkPko1hmN3m7ZeRVyKFS5U%209MOmUiVKbt8uf9+aiBSKsZs0GLspzTB2pxL++e6/SNW9ZDh2N2399fjfv5l7uZn/xfeelt5pVaOT%20o98YzT+DJCLlYuwmDcZuSjOM3WSq/jV2+x362v9i8mfXf5kW32pZvSNjN5HiMXaThq+vb7169bZs%202fLo0SPZRJQ6ROyup43d8xG7LzQ1/mnR9e9wy9hNhjF2E5FhjN2k0a9fPzc3t2PHjsXGxsomotRx%20+fJlOzu78vWcfOZW6T6rcrfp7sY/9fCvgtuCrjk8PDwYuykljN1EZBhjN2n06dOnXLlyQUFB/C1F%20Sm3R0c9379m5cuXKdUqzZs2aP478ER8fL7eE6J8+S+yOiIho0aLFpEmya8OGDe3atWvVqtXFixdR%207dKly4sXL0SXcuFat1u3brKitXz58h07dsjKf9avXz8jef3ieNKkSZMOHTqEhITIpn+DPaD/UJ46%20dWrMmDGyQsrB2E0aP/zwA2M3EdHH+Fzvdt+6dcvKymrgwIGi2qlTJ1zWirIQGxtra2srK0bDxsZG%20lt7T06dPIyMjZeU/wwkOD5Ax/EV3+PDhfn5+KFy/fj06Olo0GnbhwgVR+OCdRkaCsZs0GLuJiD7S%2054rdZ86cKV++fHx8/NixYydOnNirV6/FixejvWbNmiqVKioq6urVq7lz50Za/fPPP5HbLC0tR48e%20/eLFi2bNmm3cuPEvrSJFirx580asUJg0adKQIUPQVaFChUOHDqGlRIkSt2/fPnfunIeHR3BwcJYs%20WTJmzIh7HDRoULZs2fbt21etWrUbN25gTqwNCx44cKBBgwZHjx7NlCmTtbX1zJkz0VijRg0M+PHj%20x7gSEPkDVTSiC6P6+eef0aIbWPbs2cPCwuzs7PLmzYv2nTt3ogvt0LJly4MHDzZv3hzbiBnu3r2L%20gWE/YDZ9bdu2XbFiBeZHV/r06RMTEx88eIDzHVoWLFiQ7E10bNeJEydCQ0OLFSuGqm5g2MD+/fuj%20RTew4sWLh4eH58qVC/eO/YxBLlu2rGvXrugCT09PbDXmx2x37tw5e/ask5OT5g7U6piYmN69e2Nt%20mA3XAFWqVDl27BjKmBMPELY3Xbp0GBUunLDTMmfOvGXLFmwp7uXevXuYDTsNu+7KlStZs2bFYLBC%20hHhfX190FS1aFANGCwrYBLRgd3399ddowUM5ePBgtLi5uYmHkj4Xxm7SYOwmIvpIhmM3ImmuXLkR%201D5M7ly5V65cIdf1TxcuXMABXJSnT59uZWW1fv16UXVwcIiOjo6IiHB0dExKSkJSRAbt0KGD6EWm%203L9/vygjNyeL3SNHjhw2bBgKz549E28SI/OJApIfbhFAkXpR6NSp08KFC1FAWr158yYKWBtucY+I%20kihMmzYNZxkUoGLFiqdPn0YBWRkhGKtC0hVxefz48Qi4KOgGhl6sBON3dnZGddOmTd988w0K0KRJ%20kzVr1qCQP3/+J0+eoIBblLWd/w+5c+vWrSigN0eOHEg8yK/58uVDS1xcHNasnUsqUKAA4jsKGBtu%20cU4UA0NWfv78OQpvD0xcD4C/vz/2gyhXrVoVlwQoYIfjcihPnjwFCxYUXfDjjz/iAkOUXVxcxIWK%20+D0D/YcSu2LChAmijMuYkJAQPEA5c+ZEFXt179699evXR9nHx2eK9jfpEf3FR2jEzofAwEDsbRRe%20vnz56tWrgQMHZsiQAY2ilz4Lxm7SYOwmIvpIhmN3KkECK1OmTKVKlfr27StaEOm2b9+OQrNmzdzd%203XFsj4qKQqFdu3Z37txxdXV1c3NbsGCBmLlLly6ltEQ1mXnz5qHr5MmTsq5WI4YieqJw/vx5rAqp%20bsmSJcuXL8e9IDL26NEDgxEJFQs2bdoUBQRQLFWhQoWdO3eOGjUKQ0XywLA9PT0rV66sWalaffHi%20RcwvZtuwYQNaxMAQFpE1sU6Mv2XLlmg/cOAA2gG5E9W2bduiq3Tp0thG3KKMFs0a9fTq1Qvzv3jx%20omHDhqIFGRctIuIng1Ghy8PDo06dOqiKgU2dOlX0QkoDA1ztoAt0ewwXCajWrFlTVAHXANhGbCn2%20hmjBhQHmQUH3UCKXBwQEiNmQknv37o17QVdkZCT2WIMGDZCwsQ+x83GhggWRzrGGq1evatengV2B%20Fi8vL1Fdt24d1qY/MFwEYhNEmdISYzdpMHYTEX2kzxK7iUhBGLtJg7GbiOgjMXYTkWFKjd3J/sGv%20rpqsXee/z2CeELvLly9//Phx/jgaEdGHYewmIsMUGbt1Ednb29vT01P33yt07S1atMiQIUPu3Llx%2026hRI9Go642JienQoYOtrS1msLCwqFevXrIvVZihbt26FStWTPcTRURE9L4Yu4nIMKW+271ly5aM%20GTOqVCoPDw/90Dx+/Hhra+sjR47Iulp9/PhxzDZ06FBZV6sfPnyIiFmrVi1ZJ7W6ZcuWDg4Oqf1U%20ICIyYYzdRGSYst/tbtiwYeHChZ89eyaq+h8U0f0Q0okTJxC7hwwZIqqbN29GUq9Zs6aPj8/q1avF%20bxuB/rJmSMTue/fuyToREb0nxm4iMkzZX6msW7du0aJFdbH7bTNmzGjfvv3ixYvF72LqQ+BGe6dO%20nYYPH24C/zv3P0rp6qJdu3ZOTk6G/12WmV+ZEBEZZjh2lyzrqsrlrHIoqHIo8H6TUyFVpmy6370m%20IuUyzditC4i1a9d2dHQ0kMvr169fsGDBsLAwWTcDUVFROHxjqy0tLTNmzGitlT59+nTp0llZWaGM%20W50MGTLkyJGjRo0a4hdSiYgoJYZjd93GzUoNm15+/JLyfovfa6oweaVj007DhgyWKyIixVJ27Pb0%209ETs1n2lUic2Ntbf3x95cceOHag+ePDg7S9NIpqHhIQ0bdq0Zs2a5vOVypTesW7bti2uTwzvB77b%20TURkAGM3ERmm1Nh9586diRMn5sqVK2PGjMOGDTt//rxov3z58o8//qhSqXD4W7BgwcqVKxEoUR0x%20YgR6ly5dOmrUqAkTJkyePHnAgAFeXl7nzp0TC5p5puRnu4mIPhJjNxEZptTY/ejRo4CAgP379x88%20eHD37t1I4aI9JCRkz549aDx06BBm2Lt3L25Rxfzx8fFHjx7duXMnGnfs2KH7sTy+iQuM3UREH4mx%20m4gMU/aHTOhTYewmIvpIjN1EZBhjN2m0atXK2dk5tZ8KREQmLO1j9/Pnz1UqVYUKFQoUKJA+fXoU%20rK2t/fz8ZPcHiYqKGjJkSL169WQ9bd24caNHjx7YEGyXi4vLO3/wYP78+XPmzJGVvyUmJq5YsSJn%20zpyyTmSUGLtJHR4e3rZtWxzm/vrrL9lERETv6TO+2x0QEFC7dm1Z+duyZcvGjx8vyklJSRs3boyO%20jp48efL58+eDgoJ034las2YNbqdNmzZjxgzRgrU1aNBAlPfv34+VIN+LajI3b95E78yZM5EktmzZ%20gjQsfoh24sSJy5cvR+HZs2dYQ0hICGa7evWqdiGNefPm6cYWExOzc+fOx48fo6Vy5cr169cXXZs3%20b9b9rC1aMHLMhvKFCxcCAwNF++rVq/XXkzdvXlEmMk6M3ebuzZs3SNvt27fHwY6xm4jogxmO3Z5N%20mpcZOcdtykq3ySvea6o4Y51Ti27vG7vLlSvXuHHjHj16qFSqV69eDR48OEeOHFu3bkVyxYn/ypUr%20bdq0WbVq1fr1621tbYcNG4ZFXr9+nS1bNhSQdxs2bIiCj49PxYoVxUp0X4jSweI2NjaHDh3C2oKD%20g9FSokSJa9euiV4HB4fIyMguXboUKlQI86DFy8sLaRsFhOPWrVt7e3tjtS9evOjVq5ejo+OuXbvQ%20NXDgwNmzZ6Owdu1aDCw0NDQ+Pt7KygotiOA7duy4devWV199NXr0aLRs27atb9++YngYPE5h+fLl%20QzuR0WLsNneM3UREn4Th2D19xowhP48aPsZ3+Jhx7zeN9R047Mc9u3fLFb3Ln3/+6enpKStaxYoV%20u379OgoI0ElJSY8fPy5atCiqixYt6ty5MwotWrTYuHEjCsWLFy9VqhQKSOfZs2dHYffu3U2aNEGh%20Q4cOCxcuRAHpGXkXBX2///77lClToqKivvzyy5kzZ6LFyclJfEfIzc3NwsICyf706dNZsmSZPHky%20GhG758+fj4K9vb345V/xnvqlS5fc3d1RgAEDBsyaNUuUXVxcnj17hthtbW2N6o0bNzAeFPz8/H7+%20+WcUkPJPnTqFQp48eXD7/PnzAgUKoEBktBi7zR1jNxHRJ2E4dqceBNOQkJDQ0NDw8HDZpPXw4cO7%20d++igOM8CpgB4Ts2NhZnfSRUQESOi4srVKgQ5kRZJGa0YG2YR/ynOdxi2cTERM0a/+n169eYDb0v%20X76UTdp/lCHu9NGjR7gNCAioW7cu7hSNMTEx2lk0MBgxW0JCghh8WFjYixcvsEIMA2vGUMU84tfG%20UMAgUcA8mAGziX8vjXtBl7hTwCJowfXDkydP0EtkbBi7zR1jNxHRJ/G5YvfHaNSoka2trZ2dnX50%20/lSCg4Nz5MiB9Q8cOFA2EZk3xm5zx9hNRPRJKDF2E1FaYuw2d4zdRESfBGM3ERnG2G3uGLuJiD4J%20xm4iMoyx29whdj98+BCx28PDg7GbiOiDMXYTkWGM3eYuNjb2ypUrnTp1ql+/vvjiORERfQDGbiIy%20jLHb3EVHRx89erRbt25eXl5Pnz6VrURE9J4Yu4nIMMZuc4fYfezYMcTu1q1b84dOiYg+GGM3ERnG%202G3uGLuJiD4Jxm4iMoyx29wxdhMRfRKM3URkGGO3uWPsJiL6JBi7icgwxm5zx9hNRPRJMHYTkWGM%203eaOsZuI6JNg7CYiwxi7zR1id2BgIGM3EdFHYuwmIsMYu81IUlKSLOlJTEwMCgrq2bNn165dX716%20JVvf8s5liYhIh7GbiAxj7DYve/fubdOmTeXKlcuUKVO+fPkKFSrgGeDi4mKnhUY3Nze0g6urK3ob%20NGgwa9asuLg4uTwREaWAsZuIDGPsNi9v3rxJSEiI/xtaQkNDV65c2aNHj8GDB4sPmcg+LcycmJio%20XZSIiAxh7CYiwxi7zd3jx49Xr17ds2fPoUOHPnv2TLYSEdF7YuwmIsMYu80dYzcR0SfB2E1EhjF2%20mzvGbiKiT4Kxm4gMY+w2d4zdRESfBGM3ERnG2G3uGLuJiD4Jxm4iMoyx29wxdhMRfRKM3URkGGO3%20uUPsXrNmDWL3kCFDGLuJiD4YYzcRGcbYbe7u3bs3e/bsH374YdKkSVFRUbKViIjek6WlJc6pREQp%20sba2Dg0NlYeM1MHYbdRu3749bty4/v37z5s37/nz57KViIiIiJSGsduoIXb7+vr269dv7ty5jN1E%20REREysXYbdQYu4mIiIhMA2O3UWPsJiIiIjINjN1GjbGbiIiIyDQwdhs1xm4ieqekpCRZIoXTfyj5%20sBKZNsZuo8bYTUQpefbsWe/evWfNmiXrpFjbt29v3779xYsXZZ2ITBRjt1FD7Pbz80Ps9vf3Z+wm%20In2hoaE5c+Zs3LixrJNi+fr6qlSqvXv3yjoRmSjGbqN248aNkSNHDhgwYMmSJdHR0bLVRAUFBW3a%20tMn0ri7u37+/Zs2a69evy7oSnDt3bt26dWFhYbKuTBcvXly7du3jx49l3eQ8ePDAycmpRYsWsm6i%20YmNjt2/ffvjwYVk3RRMmTLCwsNi3b5+sE5GJYuw2apcuXerevfvQoUN37NgRExMjW02Ut7e3g4MD%20rjRk3VT89ttv1tbW8+fPl3UlwMXeF198ceLECVlXJj8/vyxZsvz++++ybnLMJHaHh4eXKlXq22+/%20lXVTxNhNZCYYu40aYvf3338/bNiwnTt3mnzs7tKlS44cOYKDg2XdVGzevDldunT+/v6yrgS40sOl%20wvHjx2VdmcaOHYsoc+jQIVk3OWYSu8PCwgoXLly/fn1ZN0WM3QkJCTdv3rx+/Toe7pcvX6IqO4hM%20C2O3UWPsNgGM3Z8LY7dpYOw2B4jav/zyS82aNbEfPDw8hgwZsm7dujNnzoSHh8s5iEwCY7dRE7H7%20559/PnLkiGwyXT4+PnZ2dqb3SVycShG7ly1bJutKMHr0aMTuK1euyLoyTZkyJWPGjKdPn5Z1k4Ok%20kjdv3jZt2si6iXrz5k3RokVN+0Mms2bNQtxU+oXuR9q8eXPDhg1VenLnzu3m5taqVavZs2efP39e%20zkekZIzdRu3y5cvt27e3t7cXxyCkNxNmwtuoxO0yjcfCVJ9ROprXjKlvI5jDZprD4/ivxAP9Thky%20ZMiWLZuPj8/9+/dxJSbPkURKw9htvMzt/yaId7sfPXok66YiICAAp5OlS5fKuhKMGjXK2toaV32y%20rkyTJ0/OmDHjqVOnZN3kvHjxwhze7U5ISChatGijRo1k3RTNnDnTwsIiMDBQ1s3Spk2bkr3bjdev%20ra1t/vz5GzdujF10+/ZtOSuRYjF2k7HgZ7uNBz/brQj8bLfJ4Ge7Y2Jili1bVq1aNaTtLFmyVK1a%201cfHZ/78+bgUMfnvNZFZYewmY8HYbTwYuxUhNDTUwcGhWbNmsm6izCF2jx8/Pn369AEBAbJufmJj%20Yw8fPrxhw4bdu3dfvnw5IiKCnyQhk8TYTcaCsdt4MHYrwuPHj6tXr96nTx9ZN1HmELsXLlxYokSJ%20o0ePyjoRmSjGbjIWnTt3trW1NcnYrVKp5syZI+tKgNhtZWWl9Ng9ZsyYDBkymGrsTvbdDxP+Kghi%20t4uLiwnHbv3Hzty+0kNkbhi7yVh069YtV65cyvon6v/Fli1bLCws5s6dK+tKMHz4cBsbm6CgIFlX%20pnHjxllbW5v2PxU3B4jdxYoVa9CggawTESkWYzcZi+joaJxfExMTZd1UxMbGPnny5NWrV7KuBC9e%20vHj69Gl8fLysK9PLly+xFXFxcbJOyvTmzZvw8PDIyEhZJyJSLMZuIiIiIqJUx9hNRERERJTqGLuJ%20iIiIiFIdYzcRERERUapj7CYiIiIiSnWM3UREREREqY6xm4iIiIgo1TF2ExERERGlOsZuIiIiIqJU%20x9hNRERERJTqGLuJiIiIiFIdYzcRERERUapj7CYiIiIiSnWM3UREREREqY6xm4iIiIgo1TF2ExER%20ERGlOsZuIiIiIqJUx9itGElJSbKk58MaUyorRUpj/i/tJrC9ytqElAaf0lYoaOv0h5pSWUc0prR1%20KbUbs3/dZJ139orGlBY00JvSIqkn2T3qqimN5L3aRaPhRQws+Mnprzalso5oTGkkKbWD4UXe2Wug%20C1JqJzI2jN1K4uvrq/pbxowZt23bJjvesnLlSjmflr+/v+z429y5c9G+Zs0aWVeaiIiIatWqYRPS%20pUuHW3d396dPn8q+d/njjz8sLCyGDx8u6wr07bffOjg4PHjwQNaVIy4urkqVKiVKlIiOjpZNWmFh%20YXjgdA8iHlA8rLJPIcaNG4eR7927V9b/NmzYMLQLmTNnPnDggOxQq0+ePJkzZ07Zp1L16NFDdihQ%20//79LS0tT5w4IespW7FihdxgLRx/ZIda/fjx44oVK6JRPA1q1qwZFRUl+9TqiRMnapfQyJAhw+bN%20m2VH2goPDy9SpAjGlize3bhxo3DhwnJ8KlWzZs3i4+Nl37ts2rQJWyHnVqmwdbJDrY6MjKxRowYa%20xX6oVKnSkydPZJ9ajWO4dgkJR3jZkQo2bNiAu5g1a5as/23RokXi3oXFixfLDrUax6WyZcuiUQze%2009Pz5cuXsi9l3bt3165JI3fu3KdPn5YdavW+ffsyZcok+1SqH3/8UXao1a9fv27UqJHsUKlwYLl7%20967sIzJ6jN3KcObMGRxffHx8ZF2rXLly+fLlS3Z0wznsiy++qFOnjqxrfffdd4jpt2/fRhmntA4d%20OiCD4ui/detWMYOy4BCMvXHs2DFZV6v/97//oQUhQNb/6aeffsqePTtmmDBhgmxSlKCgIBFPS5Ys%20+fDhQ9mqEAEBAWXKlMHgq1at+uLFC9mqTWxoxAMn62o1HlC06J9fjdmjR4+aN2+OASMcHD58WLaq%201UeOHEEjYresa7m4uCBZIrF98803yNz6yWzatGmYX3GvRBxM6tevj5Hb2dnh6CRb3wU7CkekunXr%20yrpWixYtcDWCLDtq1Cis5Pz587JDe4WMlpkzZ96/fx+Fbt26yQ4thFEnJ6dk12+pbe3atSJbN23a%20VD92t2zZEkdR/SthEVj1Lyp0nj9/7ujoiBeyrGth6zB/aGgotheFP//8U3ao1efOnUPL6NGjsZew%20r3AMlx1aOMJjr+JoL+ufCK6Qe/fuLfLukiVLZKtajccCY8CVv6xrNWjQAMdVnFCGDBmC+YODg2WH%20NjSjZfz48bL+Flw+YQZstaxrw3SOHDkaNmyIPVyhQoWiRYvKDi1xF1evXhXvKP3222+yQ62+c+cO%20Wtq1ayfrRMaNsVsZLly4kDVr1l69esm6Wp2QkFClShVXV9eYmBjZpPX06dOCBQvi7C7rWl5eXnny%205NF/S+DXX39Nly4dTieyrii+vr64bNB/BxGnKysrq5EjR8r633TnSJzXcS5RSqTTp9uE1q1bI3Ao%20691u3eC/+uorXDPox248WJaWlvo5Aw8oHlY8uLJuxHTbhdyQPn16/Xe7AwMD8VTUj914hZYtWxa5%20E0u1atUKL0/9v8xMmTIF0W3Xrl2yrgS6zccFLV5Wht/tfvLkCTYZEU3WtfBkdnZ2fvbs2aRJk6yt%20rbHTZIf2Og07ZOHChXiqI4d5e3vLDrX6zZs31atXL126tP4TKbWJjcUt7rdWrVq6bYeuXbtihNeu%20XZN1tXrVqlWIgPqBVQeXCqVKlapRowa2Qjap1dg6rOGvv/7C9uLJj7QqO7RXoXgiTZ48OSIiAvsK%20x3DZoYUjfLIn0sfTbRoeAjyrZ8+eLaqAEWIMuM6UdS1chBQqVAjbNWbMGIRy/Uvo7du34/wyY8YM%20WX/Ljh07cBe45pR17RtG+fPnb9OmDYZRu3btcuXKvXr1SvZpYzfu4vr167iwwZpxKzvU6osXL2bL%20li3Ze1JERouxWxk+eexetGiROcRuHXEOU2Ls1mnWrBnOfDj/ybpyiLSEzGEysVtnwoQJyIiIKbJu%20HrFbZ/DgwYjdJ0+elPV3UXrsFqKioooXL444aMKxW2fLli04O8yZM0fWGbuJPh3GbmVg7NbH2K0s%20jN2M3YzdjN36GLvJbDF2K8PZs2dxkOrZs6esa7m5uRUuXPjtz3bnzp3b09NT1rVwss+SJcudO3dk%20XfsNJxy8dJ+Q0z+XGL+ffvoJ57YjR47Iulp94sQJtAwaNEjW/6bbLuxAnN1xehBVBW2vbqgtW7bM%20mzev+LaZUsavG2etWrXKlCmjP2wkNjxk+p9PEJ+KxoMr60ZMtyHTp09HRtR/KuJCAluR7LPdxYoV%20q1q1KpZq3Lixg4OD/mt26tSpmN/A16ONkG7zR4wYgTB06dIlUX0ncUSqV6+erGt999132bNnDw8P%20F99J1U9shw4dQou/v39oaChy5/fffy87tCpXriyinqynPrGxiYmJJUuWTHZcbdu2LY4qISEhsq5W%20r1u3DoNfsGCBrOt5/vw5gnKVKlVkXQtbh23EBQYyLhbU/5LA6dOn0YKrUFyc2Nra4hguO7QwEuxV%20/e9cfjzdw7pnzx6cHRYtWiSqgMcCj1eTJk1kXatRo0Z58uTBdokv2+g/DbAGtOCaStbfsnXrVsyg%20n8vxmGJt4tPzeJRLlCghO7TEZ7txhbN69WoUcGEgO9RqZHFcsXTu3FnWiYwbY7cy4Dz9xx9/IFZW%20qlQJhyTcVq9eHQe1y5cvoxcHr7JlyyLZrF+/HtUzZ86MHTsWp3l3d3cPrZEjRwYGBr5+/Rq9OEoi%20vmfNmhUHLxzNBwwYoP+mgiLgLLVhwwbE0AoVKnz55Ze4bd68+dq1ayMjI8PCwry8vEqXLo2zlNg5%20MGHCBCcnJ2xvxowZ0X7//n3RrhQ4AX/11VcYP+BslKo/YvDJIUUhaojBly9fXnelh0cBDxkeON2D%20iAcUDyseXDGDkUPi6dixI1IXtgtx4eeffxbvYiI9HDx4sG/fvhUrVsSG46Vas2ZNvELFs/HGjRtz%20586tU6cOevEKxZVzjx499u7dq7ifcLl7926LFi0Qd7D5uBqcMmWK7HhLfHz8yZMnccWLvaF/RDp+%20/Diy7MOHD9esWdOsWTPd0wCv0I0bNz59+hQL4hoGeQtL4aCH22rVquG1jOMbFpRrTxMIea6urtqn%20sOabwTgUi/Zbt24tXbq0QYMGeBzRjsHjKYErqHem4YSEBIwc48dW6LYIW4dtxJZie/Hkx7br9gNe%20Gtgzjx49wsZiX2GPiV2HpXBfOMJjrxr+1ZQPEBcXhyHZ2dlhS21sbHBVIJ6ZaA8KCsKTHMMWw0Bh%201KhRGAOGh9fsqlWrEMp1g2/Tps3mzZsNfP8bq8XT3tvbW+w6vBzq1q07b948vEDQixcLLmjxwsHL%20B08b9Pbr1w9HktjYWCyIyN6+fXtxX1j822+/XbFihf6bSkTGjLFbSXCQffE3BHH9cw8O6JaWlrp3%20hnCIxwxy1hcvUBXtkJSUhJyNRjEDyro3OZQFVxH6WyFbtUaPHo3Thu6LbjhY6+aMiYnR/yOvIuCB%20xuAFbAJOgbJDCcRTUcDgkwUF/aeiuCxUCrxq8FxKafB4jNAoYAb9pxzK+gsq69HUSbYVeInJjhQY%20OCKBgaeBgYNemhFjwL0LyQ6n77UfxGtZszFayV4OBo5puFPtEhrJxvBpJRuD/tlBfwzw3x/ElBg4%20MqMs2oVkLxMDgyQycozdpqB79+7lypXDAQhlMz8AhYSElCxZcuDAgaLKwzEREREZCcZuZUsWK808%20ZepvPgM3ERERGRXGbiIiIiKiVMfYTURERESU6hi7iYiIiIhSHWM3EREREVGqY+wmIiIiIkp1jN1E%20RERERKmOsZuIiIiIKNUxdhMRERERpTrGbiIiIiKiVMfYTURERESU6hi7iYg+UFJSkiwRERH9G8Zu%20IqIP9+rVq7Zt2zo5OXl4eJQuXdrFxaVIkSLitlixYlOnTpXzERGR2WPsJiL6WOvWrVOpVIsWLZJ1%20tfrevXsODg5eXl6yTkREZo+xm4joY61duxaxe+nSpaJ6+/btoKAgUU7SEuWrV6/u2rVr3759+/fv%20P3HiRExMjGg/e/bspUuXULh+/frOnTv37Nlz//590aVb9vnz5wcOHNi+fTsWFC2g6z137hzWjNXC%20mTNn4uLiRDs8efIkICBgrxYKqMoOrZMnT968eRMFLIUxv3nzRrTr4O5wp7hrDEA2qdXx8fGBgYGh%20oaEonzp1SswQFRUlet/28OHDI0eOPH36VNbV6pcvX2INN27cENWwsDDMgMbY2NhDhw7t3r0b40E7%207uLgwYO6HUVEpGiM3UREH2vLli3p06d3dXXt3r17ly5dcuTIYWNjI5K0cPHixX79+o0dO3bhwoXT%20p093cnJCTEfIRhBv0aJFunTprK2t27RpM2LEiIkTJ44fPx4zjxw5EmkVyyLjzp49u2/fvvPmzfvl%20l1+mTp3aq1cvBFOx5qNHj/bu3RtLLVq0CLeZMmXKnDnzgwcP0IWgjFX16dPHz88PBUAB1cmTJyOX%20Hz58+JtvvsEwbG1tO3bsOGjQoA0bNiQkJIjVAu4Cd4S7w53irjGABQsWoH3z5s3Vq1fHgs7Ozt9/%20//3o0aMnTZrk6+vbs2fPOXPmYLRicX2zZs3C/KtXr5Z1tfr8+fPYY1gEZdxFkSJFMEPFihUHDhyI%20rShZsiSqDRs2HDZsmFjz8uXLxYJERMrF2E1E9LHWr1+P6Dxu3Dgk3UePHjVu3DhDhgwXLlyQ3Wr1%20pk2bkCOhQYMGoiUiIiIpKenNmzdI5MWLFy9XrlxwcLDu3WskaQToc+fOofzq1atatWph2Zw5c9rb%2021tZWaGMPCrmRCLXrljVuXNn0RIZGSnetEb4dnBwaNq0qWgXUHV0dBSB/tixY5ihTp069+7dE736%20kKexWoR43KmdnR3K7u7ur1+/Rte2bdvQ3rZtW9175xi5h4dHmTJlMFrRom/+/PnYP4j1sq5W45rk%20iy++QKxHOTY2dsyYMVg/LkjEyDt16pQ9e/ZDhw6hjM1xcXHx9PTULEZEpGSM3UREH+vtz3YLCKnP%20nj2Lj49HKhUf/Lh+/bqzszNmtrW1vXz5MlpiYmLKly/v5uam//EPxG4bGxtd7HZ1da1SpYroAqxK%2096ZyYmKiKB89ejRbtmxYc+HChUWqRuxGwn47djs5OYm3w3GFkC9fvmQz6PTv3x/ZWveePQIx8rEo%20nz9/PmvWrH369BFVwDAwQlw8iFyezNuxG9uO2O3j4yOqCxcuxMixG0W1TZs2efLkuXv3LsphYWHY%20oq+//lp0EREpF2M3EdGHS0hIOHLkSLt27ZAaERbXr1+/dOnSJUuW4PbXX3/t27dvgwYN7t+/v23b%20NsyA8m+//bZjx47hw4d7e3uLz0YjdteoUQO9derUGT169OrVq1esWIEFu3fvLj7hjZCN9k6dOi1e%20vHjNmjWTJk2qW7eu7kMX48ePx7IdO3bEanEvWHDAgAGRkZHowi3KuCMMZpkWCqgOGjTo5cuXuPcJ%20EyZYWloi1K5cuTLZZ74BKblVq1bTpk3Dnf7yyy/NmjUbPHgw4jWuHIYOHYo7rVSp0pYtW5CzsSxy%20M4IyriX8/f1FXNaHkWP+bt26IVhj52AvibfSkdSxvZs3b/by8kIVu/HkyZOYH5uD6pgxY/766y9s%20BUZob2+P8eM6QayQiEiJGLuJiD4cYve+ffsQlBFAkSkRtVdpoYB8efbsWTHbw4cPEbjRjjkRH5Fc%20RTsgdru6utaqVQvlK1euLFq0COE4ODhY9Oo+dvLs2TPE3wULFuzZs0e0CMi4mzZtwpqxWqRnEeVB%20tyCyO9oR0wEF3Zc1z58/j5aNGzditSDe/9bRLY67w51ihvDwcNFy/PhxLIisjDvFXYsEj+1FmAbc%20hf7WCSJ2+/j4iJ2AmbFC7DEke5QBuw5V7JyDBw/irrEfMAO26OLFi2/evMGFDe4RC+oGT0SkRIzd%20RESfh4i2uK1QocKXX34pGk3S2x8yISIyQ4zdRESfzbJly7Jly+bo6Ghvb29ra7t+/XrZYVrWrFlT%20pEgR3a+vEBGZJ8ZuIqLPQ/dBDn3vbFQ0/S0yva0jIvrvGLuJiIiIiFIdYzcRERERUapj7CYiIiIi%20SmVq9f8BWdI9a1xf9G8AAAAASUVORK5CYII=" height="568" width="978" overflow="visible"> </image>
          </svg>
        </div>
      </div>
      <div class="fig"><span class="labelfig">FIGURA 4.&nbsp; </span><span class="textfig">Profundidades y durezas típicas de diferentes formas de deposiciones y superficies ingenieras.</span></div>
      <p>De la <span class="tooltip"><a href="#f8">Fig. 4</a></span> puede concluirse que los diferentes métodos brindan oportunidades 
        diversas de combinación de profundidades y durezas en las capas 
        superficiales. Puede señalarse que algunos métodos se desconocen, tales 
        como el niquelado químico, el plateado con níquel, el plateado con cromo
        y otros. Tales métodos, así como las deposiciones superficiales con 
        PVD, CVD o los implantes iónicos que producen capas muy finas y de gran 
        dureza, son útiles para el empleo en aplicaciones con mínima extensión 
        de desgaste y donde la fuerza superficial actuante decrezca rápidamente 
        en el trabajo, para que la fina capa superficial no sea eliminada. Esto 
        está asociado con el hecho que la etapa de interacción elástica sea 
        alcanzada rápidamente en las aplicaciones tales en que como elementos de
        precisión ingeniera como son las terrajas, las brocas y algunos 
        elementos de corte en molino; métodos que pueden brindar gran beneficio 
        en el trabajo, fundamentalmente el recubrimiento al vacío con NiTi y la 
        aplicación con carburos cementados, manufacturado por metalurgia de 
        polvos, los cuales pueden aumentar significativamente la vida 
        superficial en elemento de corte.</p>
      <p>En otros casos donde la fuerza 
        de contacto penetre en la profundidad superficial del elemento hacia el 
        total de la capa superficial y más allá (gradientes negativos), se 
        necesitan métodos que generen capas más gruesas. En engranajes altamente
        cargados, por ejemplo, el material en la capa superficial debe tener 
        una alta resistencia elástica, para mantener las condiciones de 
        interacción elástica durante el trabajo, la cual está expuesta a altas 
        fuerzas de contacto cuando ocurre contacto por deslizamiento. Sin 
        embargo, el núcleo del diente del engranaje, así como el resto de éste, 
        requiere de alta tenacidad de fractura y de resistencia a la aparición 
        de grietas de fatiga, ya que está sometido a cargas cíclicas altas y, a 
        veces, a cargas de impacto, durante el servicio. En este caso, la 
        combinación de tales propiedades, es preferible el empleo de materiales 
        metálicos con tratamientos térmicos y químicos superficiales.</p>
    </article>
    <article class="section"><a id="id0x5e2bc80"><!-- named anchor --></a>
      <h3>CONCLUSIONES</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <div class="list"><a id="id0x5e2bf00"><!-- named anchor --></a>
        <ul>
          <li>
            <p>Frecuentemente,
              las diferentes tecnologías superficiales son aplicadas a diseños de 
              componentes ingenieros existentes, pero, idealmente, las superficies 
              ingenieras cubrirán el diseño de esos componentes conociendo el 
              tratamiento superficial a ser aplicado.</p>
          </li>
          <li>
            <p>No existe una 
              correlación general entre el valor del desgaste y el coeficiente de 
              fricción, aunque la lubricación esté presente como tercer cuerpo o que 
              el constituyente de uno de los elementos del par (por ejemplo, grafito 
              en el hierro fundido o el sulfuro de molibdeno en composites base nylon)
              tienda a reducir ambos valores del desgaste y la fricción. Aun la pobre
              lubricación es mejor que una que tienda a reducir el valor del 
              desgaste.</p>
          </li>
          <li>
            <p>El empleo de materiales idénticos en el 
              desgaste por deslizamiento debe ser evitado. El uso de materiales 
              metálicos de alta compatibilidad es preferible lo cual significa que 
              ellos presentan pequeña o no solubilidad en el estado sólido en su 
              diagrama de equilibrio.</p>
          </li>
          <li>
            <p>La alta dureza superficial es 
              conveniente en muchos casos, donde puedan emplearse diferentes métodos 
              de ingeniería superficial tales como PVD, CVD o tratamientos térmicos o 
              químico térmicos superficiales.</p>
          </li>
          <li>
            <p>En aceros es conveniente 
              en la capa externa, la presencia de carburos o nitruros, aun cuando se 
              reduzca algo la dureza superficial.</p>
          </li>
          <li>
            <p>Las superficies con 
              un alto índice de dureza causado por deformación, son resistentes al 
              desgaste adhesivo severo y la resistencia al desprendimiento. Puede 
              establecerse una correlación entre la calidad superficial y la 
              resistencia al desprendimiento. Las superficies rugosas generadas por 
              bombardeo superficial son más resistentes al desprendimiento.</p>
          </li>
          <li>
            <p>En
              el desgaste erosivo son factores importantes la densidad del material 
              impactado, la velocidad del impacto y el ángulo de incidencia de la 
              colisión.</p>
          </li>
          <li>
            <p>Las capas superficiales creadas por métodos 
              PVD, CVD, implantación iónica, nitruración o cementación son resistentes
              al desgaste adhesivo. La elevada dureza y la baja ductilidad son 
              beneficiosas en estos casos.</p>
          </li>
        </ul>
      </div>
    </article>
  </section>
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