<!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;
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td {
	border: 1px solid #0d7f54;
	padding: 8px;
}
tr {
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	border-top: 1px solid #0d7f54;
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tr:nth-of-type(2n+1) {
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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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p.address-line {
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ul, ol {
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ul.nav {
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li {
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	font-size: 13px;
	text-align: justify;
	line-height: 20px;
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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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	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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	font-size: 16px;
	/*Cambio de lo color*/  
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	margin-top: 1.5em;
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h4 {
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	text-align: left;
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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;
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	/*Cambio de lo color*/  
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	font-size: 13px;
	text-align: center;
	line-height: 20px;
	font-weight: bold;
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	font-size: 12px;
	text-align: center;
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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 {
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	font-size: 13px;
	text-align: justify;
	line-height: 20px;
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.copyright {
	margin: 10px 0px;
	font-size: 13px;
	text-align: justify;
	line-height: 20px;
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.top {
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	width: 45px;
	text-align: center;
	color: white;
	font-size: 12px;
	background: #0d7f54;
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.zoom {
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	display: block;
	font-size: 14px;
	line-height: 20px;
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.menulevel2 {
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	display: block;
	font-size: 14px;
	line-height: 20px;
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.menulevel3 {
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	font-size: 14px;
	line-height: 20px;
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	font-size: 10px;
	color: white;
	background: #0d7f54;
	border-radius: 15px;
	text-align: center;
}
.boton_1:hover {
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.box {
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	background: #0d7f54e8;
	margin: 0 0 25px;
	overflow: hidden;
	padding: 8px;
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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;
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}
.outer-centrado {
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	right: 50%;
	position: relative;
}
.inner-centrado {
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	right: -50%;
	position: relative;
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.clear {
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.tooltip-fig {
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	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>Evaluation of Advice to The Irrigator in “Amistad Cubano Búlgara” Agricultural Production Cooperative</title>
<meta content="Advice Service to Irrigation (IAS), efficiency, handling of the watering, administration of the wateringservicio de asesoramiento al regante (SAR), eficiencia, manejo del riego, gestión del riego" name="keywords">
<meta content="Caridad Sánchez-Veranes" name="author">
<meta content="María del Carmen Falcón-Acosta" name="author">
<meta content="Leonardo Sala-Hernández" name="author">
<meta content="index, follow" name="robots">
<meta content="This article is under license Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0); URL=https://creativecommons.org/licenses/by-nc/4.0" name="copyright">
<meta content="Cervantes-Producciones Digital; URL=https://www.edicionescervantes.com" name="organization">
<meta content="en" name="lang">
<script type="text/javascript" src='https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js?config=TeX-MML-AM_CHTML'></script>
</head>
<body>
<header><a id="id1"></a>
  <div class="toctitle"><a href="#id1">
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ZYWbneEa%20ww2AGFpmGOO1wd9lsv5geS3o381EK1vl1/jsyX6RFvKvARQBeo5AlbU+rIiWs13BJZ8QwnB/JbKB%20cVUb/LtYeMJS/fGF4eNtdC8TVX/U4+BRMrBHnjoo68MSK1BwCeVmoblRfl2zIPCiDiXCh+7TZjEZ%20FM6D/E8vjtqEGyJTvQLcWWGWRx1eN5EVkyknL7JnPtSPaIGLAYhxQsbUXI+6c0F+1vWQnwZBCyqD%207Q9/LRIQZO+bJOjKKSc+22paYrXOZYFIJeJt/ykSXujnIZ6CUO47MuvQo4qimli5I4Th/gpD/GK8%20Hz6oK1MOfFOkfl3sJSEJQiELe++V+h4IWEdVpSwolR7L8QEzBOTo3iN7uo4u/PnPdt732eUrhw5s%20MqBHYuQkIep9KayS6F0xS5nI1w3GRj46OR2QBSn/E601rbnySX6EERBErkus8Uo9m4fwzE8U9hbd%20b36xPlnrHj8ZyEtskKS38pFfsW3NZv368pJLzZomv3h3Kh/hEAzkwg2zv3t04v2roj145ypCf2HC%20F27AnXCWSSqUxrfywg6q2Ybjd1JiIhzeIm38aix3dyQwqQRFInnlssT9Wr4ytJFTDiINimo6LR2d%203CuMWU2bE6py6gj1jgaM7hqDSXHsylcVKWQfuJlUjWu1XGSnWK/Di/A4oZMDdLzB6H4k1DFQiGam%20uXfwoU9uAxG5KEOAEiUj5bYHDj2sjOVZQ7tzaAgyFngbU6tZUuauJa1jioQ9d4T+0nAlprNfudtl%20GJX/rpj8XLkIkSAwBf7nx8qRf6uOD6vhIBCVefU4P0lxTZKWI/3u14sXZgrdKjFJmXNy8t9QmV/A%20Jg3L7Otex5kLtUm49u9sknSpC8/RDy8SLh1TSZm2hx8MbNkuKcpJa3wu80CIJ0ty/n+S33tvdKDo%20T2qWjMBgut5qv613sgqw544QhvsrTmVixQ75x6HsjSKDmmoo5qDlEnM8aQjic9W7Xu0+SJ3uJrJo%20GSz5G33nJZNDQVNiRDhx6TziN8P5lMUEi0g7A+GwPyVkLAEkS6NdWsGCtMv+9GAgAqE2OdRUGHzN%201NVXs9rlZF/UzXKXnvJFABc4FxhbYAoq1CSgXIamSFobem9HbRqnmkEIw/0VSQBFmDKbvwvKBaOD%20IKtgZmnYFPlzLnAqcDKuWo3vz2sCzOjg699kh0pSoQyTjitx8vTAd5v25t2eV09l3jk5rthbH6W9%20fXCsH7Y/ImSWFQsfmNgzN1vIEOmp7oxfZDMYsRy7RKol4cr3OrIATe1MeFOuYHHh1IuuevkuC0RI%20i95T5ItQGAPe9kNXWxxQXWy4I/SXhxdUXwJcf96Y/p7PSuHA3kOBYF3ZuiUyx5Et6blC0XSgdTA4%20vc1QVhnFMoz10l7NaH6j3t1J9Z3RlCAoIpRdPjyzED6/vPwcN1Xnzr7Guu3bsvb92JTkRN+eufxj%20thfl8VZ3pG0quznUlFcohaIN/dQqXJV1HKlvl9g4DjQJogbqw6FUSTYFl4qnbKCrEtRuj+QXmJOq%20vbih1R7+3vzGI0+u74EQwnB/JXZmNGiNH9or3BWb+vr+bRtrTdgt6Aku1IHoEi6CPwjmj/eGSkAm%20S+zQ0kxHGwwO81/8h9h0OHwQjAs/l58/C+ZPwXRpYvsPA6v2hIetvLvOXHkNkwwwCxCNQrMotlpK%202AvpGFUEt5yD2XN5vM16eLQQ32A7oUD/q6fPucaJqBBJuMW7yKZ/DjclSVdTMVVnj62c6N0irxmL%20EpXxp/+AvG3jrneWwMhhYnEV+rcKgSV2edmXUuSOlpqtWLYjhOH+CmZDcwpGDry+q2S97V1Qfmu2%20swv0QTH7i6o4F3qJFQIhRQQmci/rSy4bm1Na/Eb/XtaZGXjiI7GF42GNKpQZkn87Egw9LjX3SOn2%20puia1fqPbrnrHqP1fcWZbdD7KB3poZmZ2VIZYlukSL2baoEHbhOEO0L1Ysr6+yvpr26L7Q6MtBdr%201jCvQo/o4syhqDIC5Sr78s/r4ACrdvtuk1qzKhHAH2fjkB5iBVzaQMXukCG/L62q/B0LIJOFJ7be%20cNnlDr6xCGG4v+IJUBU3EhPQ2wXBGFy4GobanMdvMycaHO3qYv+jajEri5NSa1HeHSu1fbAwpwmc%20EoSCkGkw9qSlIcmK/lbVB+zBacZujq5k7sia1vM/90+b77yndQB6fwo5XQyPKgstyr80ZuxV4jcn%20R/da/U1mOQ/LJmj2innnfeYfH/zDnbP7Avf/mOtWSSkLPY9K44kSLVG5xZYJWDqsusx9RMoO3phs%20Bqk7brCIk2vXxTa27+dR3mJdej4XbDjSBdSGtpSpyvimInTW4GIdL6l3w2/RWCY8sh+KAdCi8MAf%206HVvYiEFTBeGMrDn30Nt/UGL2G6E9LeU21+j5zZp4kNh/XWZQJLFvp2iGncFHlBAAzJKhMNX1cy6%20Y7iZCrZDCOEykAPUXPC9qZEDAvt6TWOYmo4/7EZifG+dkFlUs+zuYVWlOueGCV49PiU55AsTkzeH%204oMqvTZn19rTvwm3ZGS3zAVXGrg4e+H7zRAHRYX+fvLww+TN72CHdsGyFCxorcxMANhtR+iswdEy%20LyWVKJQ1uPR8KPSSh/4tWB+hscoULnkbHvtWoP0gCf3Lp2o+99nqSaftULj8leqWh+NNTIqLdOGF%207nCDHiNCtUwDnLolOh0pXH7NLv2SXH+JmRbXTTjsWOHrczaD1EI3fXF2oOha3td16AS74U2jK9fs%20HgEmWDQMtEamxCH5paXFiyECtL2kxm+ucv4zOX84INty+y2/FK5Y13SX8uDPRSHoH5JSKa5NSrd/%20XpsZg0WLKsnOMdkRwrYMeibml/Cz60lmf9jsDfxXdmq2ILs6CU5KssztgSF3+dK8Cy2C5AInEjnK%20rep5Vj4HLZ/KHv6ZE+pXOQF9iT7rncXBXcKMS83SkompfTKIvG6FJcqw+x9i2gxn3geK06usicOS%20V+y3rrasArFMUvXp9NFfhINexS5x69LSzOv07DhIS4zxvaGaKImDQik7qGg1AYWPjmqqQA6o237o%20FEX32ARffm9VrlafPUP3J5nBWEcI2zIv8zYLgTMZLkKAUdi0Qdy5Q4BFZvEP4eY9kVSMgMQPGyX4%20RJZuD0iPhRSX5MNO9B25UK174J/jVRfp0Qt1xwRBAEuErgcl+aGI3mAGLy/OngeEwJFOyG/U2k1V%20d3l/XbllvdXcCIUSdD5BpQ1h5pDA6/MtCxmUgQtAXTL5q7BegmVfzHffrgoPhTVbKGqO8vr8RNlu%20vbm6KiZBiXSXnOK1GdpuxXuUc6+yFno/buEbjxCG+8uaw/0ptPzrimeU7xAAZsPvNoGbgNGHFfZA%20SMtIpbX52W8rpycI81K0ROQkGxmDsduDsyWpFHNyrXrDfDcRgXwBVEZDMV5ZbYMTwZ+yRqD+HVI2%20AUpAcMAw/RLbn6SMEUnkzCaZHHiFvKbC0Bjk9kvV46ozKfZUl+deZwa8l1OkWpx5oR+M8MNfjSXG%20lFyDGXtdIdDqNgOsPffUS4ucDrmyAhSOm0QIw/2lToYN22BnF3zq9UDOeDUiwY/ge7eDEa2saFQk%20YoJv+p4mDspwcaFtIQt5YW1APObPSOMRXXAsYE5lskm7EuiVi7TeBogCOCJYbuUyC/FXuNZE4Kb/%20GNcFL/2945Akgir4WyqIICj+YUDwM53kSlxVYTQNo9slvikYfXVx2WVOecrfGLMAzSJcsKwysfuZ%20vUZvY1zYdQza6yEWwXxHCMP9pdmHoU8tr6HCT34NW/bDf3wc/CWN9Kdi64WGF/Uzs6sPDo7CsTR4%20ZbUGJFnL3crqSMcnhvE+S5Kfy8USlLmQZQFCydr2vPfggcm5FpvZWnVXLg97bgyFyqI/o6SXwzax%202o217zNyGW1Sf21c+UNdojgwKWwfiEREI0zNIGVKAHTTf3Kxsg2yBLIC3CEjw96xhDsGLK6HeQ1Q%20V1+ZyZ2/wB311NHL+8hl4R9+CO+5ElYsfmrpj+PPhr17hM4UXlD985HAIf60X1aejA8Ijk66Bxyd%208833iPUJUt/maBFOZAhq8MK60sxPwlmzoCoJw5v9AlwMc68qV0VIxqFshV0emlE3GpLhK480/dS8%200B+qQmRhevIX4dvmtnLdbqeBdbpxl1+hG4SblFXC3SvLXcuP2EJZo8ErivkNWk3xwSOJb2deC0Hv%20iOLI5ex32u9ev8iYytGBscZIYBi4q1tgcK7G/dOFZAAuXvXUSkwv8HTErZxAOAx6B2A6ByPTMDoN%20m3b7px2aAu3NEFT9x3gnEDjpGEJYuZ/lJkw+D3f8RjoITsIUw7cmA4Ywdf1EaKFtfLkqMaWMrc3C%20haXMPvHD73DrGvmZ9KYpZHKwrRN27hGb6ojSaLe1Qufo28XQZQnnbY0puK8zujnT1KAUqoRivVqc%20XWcy7tfy3kc47E/Dq3vFvg3kqao5qIB0fOGNAtRUgSz7LaCDY8FpNzjuhDOG/LaZXbManH1d1ULq%20dnfiLe1Ngwf3Uj4lDufcq9e5HY0Q0F74iYgAU2nY1w153W/9e9VFTQKODMKxaUgocM4cSOf9I4e3%205d7mzWqEGY2Y7whhuJ+9ZO/rIvd9IR4aUNN1pvG26eC4HL+5amB9Ru/QZ9xUa80xStdmSxsCjZtj%20Rp15+VfSLW38TEaVhGDjQ/T+jyfdJmvWh3OrlsH4lJIryPFIoVT2r75yy7+K6+WtS8Dmfo773XPB%20r5G9f/v/SZ8Md5f53XZWGY1OKdi23/j2viN7j6ksCuKdInivS1G8f5BMIdpYm5dkdv8dgnFTnCXt%20D92Uq42/8Jqdgq7Dhj3+2oG0qO0dbK4aGKgHpZ/apTUlskeZldOKxOpKpubNzIdi02UCFy3yDzyY%207whhW+bshHvXE3LkWCCa4DQj7zksmgstfnE21y8YIE3WGMKluaFRaOlVUxrND2j771NbPqKfSbiX%204LxlzPry9IDAOmbCgcNgOyYQs2z4PXdCgYt+2WuViVkiRoE4RWoViasTbhBqU9ElgkuO37cmEEJE%20f3UnqnCucCnAaJALIeaGmBDkVONe4nMXckVwbS7wbFcvBFRYe4W7Mzp92WxIBSt99hdcS4DuwPYt%20QsOWRLQo846pEYnEOwM0ZI3Ulmu7FT4QHG3gFplyH4jm5dTBjtyCNqOmBsMdIQz3s8IB3mRtbs3O%20YUqZutk8RMqQnlfW5oBbBH1hVqNgTJDRqMlNMhS1WyTLT/YzmAuXgxSA2ha2fTeIIkgCEAb5DJkY%20orlhmh8TjDRlBapYVGTeB8SoPz27RCBAqExIkFIViFip3BXv1xO/eKfeKQT3J550Kq/DptyUmKMy%20N+LyhCPUOmqDI6RcKcwME44c9R9c1+KPrjmzwPVOI3IFIiqOd4ZRCBXLCjtYXfT/DAdlU2a74kWr%20xtRlZzwueb8iYwBOUIMQtmXO4l70Gw4/3gBb71BImQaqXHGOVSr5k6643O+W+GV1lhpHFIPwupXm%20p9/Ko9qZjvmT4PZHwQpBOgs7tpHerZI7LqqMVhHBy03ZX/eDKJRU6nMeJtT7JV6aK164gx/xCiEC%20qbRfgBzvz1Agrle7V/6DVAZtenFPXMId4lhQtnmWs3TIzrToyprynPncsmBFNSyeC2d4s5IIhwfg%20e78UjCOy4p0f1NimRUDjQoBTg5g2aC7QsljMUpZw3v4O+8JFZ3SKgBDGEob7ny3fVXhoK/z6cSgp%20wbAMrVXhwuBUeZIl5ie8Qv3AGKkW8rNj/O9f5w8nh1PNhvu8k/1QyOVh2xG/qnUEKFtQyJPsBCmN%20C4VxanmVe14QdCrYftMlTv1R6yKFoB/ulcqdPKNyr5w5kKcrd+5tlE2ZozA36FfuLOlAtUNqHCnp%20qkEuU5BcaEnAijngnxI872nHqY5eCuRy8PVbYZIJ025wSaMAFpvaVwg2SaG6aOd4idquphsfuhIW%20zKkMIUUIYVvmbIY7g3XLobMHjtocSswaKcoGlWUijRtUdWs1sVok15zDpfBzBZZlQ5kBee7Ohgrr%20lvkj0NMFmMrDdJzn63nZZboDuu03ygXmL7pdyhG7QK0CLZchZ1BiEcklAiNejjPdIMz1V/0QgSr+%20YUkMghgCKQJyxL8fyuQgSP7KSgEBQgIkVKgKQlUEYiH/yJTPAX/OZPe+Gwz6F2NPfgBgEE3BZYvh%20nk5vS5gzZgsGicqCnPc2T08wEIKwrB4WzK+cHFC8rQkhDPezhfqjCQcmIaBAKAz9j5TJtOglr2TI%20KqdBlbMQKYTLobnMcaDzoB+aM+pOXtJ+55ti9omAop5WM16o3HdKiD8k3DChZEBB95MwFoVQCATC%20aeWufr81xPyY9T57dfowZ8lr/6amOsm5SyotGlqZkIAcb9G4/plB0Z+9wJ/fhkjgilBg0JMHNwPu%206eWs5Uhi/s6PvKb7T8Pdy/3uPn+TNBWmx52x7lI+L4XKkmCrQQmkADPDdrbKWn8ZdB8Fw4LWlH+c%20wHxHCMP97OzFfX1wOA9VcUg0wjvf6pW9jssdpzLc0L/1n/pTAnj7+mgZGIGpYbg+4Xfkn519XsJO%20S0tGIpL2gm/NJJWAppWuDssAS59wUvFHMue7uTv7vLfPnzPXMp4cbM9PPAPxnsT7YJVDAnvG9yRJ%20cRyLc/58W0Jspm29oxOc7md3mah/2HjwMKQa/O9cdSlwwolg2cxilcGa/q+GyoVdAvvzMD4Fhg3L%205wNORoYQhvtZ2o8CNNf79+O4z2yqkGdnp/dPKvhDaNgpEpJT7kqMSv+3++6FUyevV64zZpklU89b%201guITC/SD+57dNbsZaoWNIziczfcHW6D93Gy7pIX4sk4tDWBdxJDntXXesa+4pVxNZJUeSk4CQFC%20GO5nC4cnC8+TpDZ5ZuXq91L+TK0gIBahkt9kJ5WJwJj0vFX1mdO0wP59Ow4e2FNdFVp/8dsBXMex%20n1WwV44Bp7UFlD59o+xJ9xWp7CiCf1gIYbifXV6B2XkERqKgKn5x+hzHgFIJBKty/+f/6W0jw2D3%20tJesEVGsZo4B4SAsGg5L4pmXuaSC/cnWH/86EeXWWal9W77ac3TOwEDv2nWvnjP3nFIpQwgVRdF1%20XSJS27QoeZ5jlyhCJg1P7PJXf32OA4GX7CXd7+E0zgTMeIQw3M8SG1bNgYAEN2+BeJUf3CeNLa9W%20nZyGRSm4bi1I8v+p20A55CkLXlFmkySe4LoDzoBo9YXlMw13L71N0/RK8YiquowJgkAo9Ypz6n0m%20PG/pPXdtix7JLqoJ5Fr79h8obNooG0Zx/oLzS6VC70B/S1vrpt/fm2ppWLhssWWeutvD/HnT3roG%20fv4gHBrxJ/g91Y7ynsPMww0XQ1MKx7kjhOF+NpsysGAxXG1AVxFaKw3lP+UwGDgMb768MvbjjG7v%20/GNVTEllboApaKrltglqCI5OeKXzk1MOwwtZwVRWFC4KMqV9Pcd23nLLtZ/+jJfsuUymZBippqbh%20wYEjtz6yJNqcHJocmHYuJ99+LP3jVcu379p912Ob8+0dK2zb2fDz353TMKd+uBhevpCx5x/XEozA%209VfCT+6HOfOBn+zhkuSfBq1dDM1tlWGj2HNHCMP9rKEwOQRbuiAYg2N9pyxIJwx4ZAesX3Em4e79%20eNH0+z+268/3W+1K5d8kNi7MKFVc61RXDEcc7o9zZ5XpwCTRv1uVP28fhtInHnpIP3o0sXbN+GP7%20pe70dCZdk6p9+LbbZjy6eeqCtfSyVzlZY6YcqprROFqTjivqte4/3Nfz/Xnz9vaNBjZs+HVr1aKr%20yUxthO9r11pT1a5zGi+Mwb1PQMH15/s96Y7yDl2mCxv2wcwUqBqGO0IY7me1eFckaKmCTAEc/SS5%20DJWBInUhqIqeSVp59XjZhF3L0uks1M9ko0eEZBOr3hidUUciMzjvFksx+3BHhmcFpjBQed1AYNl0%200Bae5ze5riuHQ337upLDgZmBsHXxa8KxCGXsyr/92wNUqH/gwbGuY5na6n/p/+2H6i9dUNVqOKao%20WAuKr7Eb33jlG1blyoXunz94ScuSHWNdo5N9XrLLsng611Rr4zBVBDt7ksuq/rB9DiqBuprKxWdM%20doQw3M8mBpEENNdWObVfjUeVZ3Ununu6OeP1jbOcqVvnz7jjlHMPPE8QA0+6cy90AgJE5tu5CVJ0%20maZAbTX0WeAKLHWBLVu2IIAuQOlm5o8Vf85o9FKYErL8/PNHhqcSB+11yTm/krrlUIDaIDM2/4Z3%209cyf5216fu8+wbBkQt3KuBzDsUpuKRxKMuYU8rlUSRKitKyR9W+8JqQFbPs0GuQcFs2EztL7Glpf%20xdynj4SiKA4PDxeKhVAwLMvynPinpKCFI9wRwnA/+/kOTK5vX1oV1xg7oTuR0yWXscb2pRPmJtcE%20UTmTglQUwB0S0klnmvo3mpq9Yo1A+nNQ6IKozOU0zR0jNOiveM3KJFimhD7/76CyfP/3b8zdty26%20/I22yFdNRx//2T01a+bNaJsRcPmKyy49fLRrQT+/pHp+tRqyXIdUBjxuHD4QHKYdi+a6thMV5Ols%20pq8BljXW2/rpJjEzIZJsbZm90rGKf/yiJEk2jcmZTDSWUFWFTRO8MRUhDPeXSnfGtQ3HJs8Kd9e1%20vFre+5ZX7ZIzGtjn5bTEyaKtycdgindY7iRddl+VovCpMG9uhcEtfPl4aMvdfPzSLKVQdV90YS5k%20hRghzzXc0AtqxzQjM2bWfmTBUUrH9/ZeFmqvy4d33Hpwz9Lh5LxWMsS9rRZrw9WgscoTecW+SqSa%205gaptc5LdkmUJorZY6nyzEvPI9YLu4zg7Q7b0r198vT2ePvJMb195X92nvwSQgjD/WX8JpFRx+lf%20nRMlCISdpmYYpXzi8nTZ4FqQawQydebh5slc2elo8B/fv6DYlyqndyurJsIg8udoy3jhuerCCwVR%20zBZzP91wY8A1zmtdeHFowU333Hdsw/55yRbBca9OtHFZ4E+NayEibSmpPZ0jfM48K1McMDMLr3tt%20Ihy1LRyxiBCGO3ohvAjWOXdmmZYAC+rgkjWwaTs/2GuCDWtWQ1szTE+7edONmXDVer9Uv7ngGHWg%20D1A++vzvsGWaxLIEBudetv6u/7lnRrC6qaquvaYxJgd3jHYtTrXVhOIFy+/yeJthuvajffv7zOmj%20fc4ic61b0EOqJkuSYzv4NiGE4Y5eMH90YMmf9LEcPd7ngcyUn+PeP4CDaUB2yh9b4lXPjIFZholh%20fz7I02xreCW8Iivz5s8Pvzfw+MDU4aOHLq2dfzg75HC3KhB9oHdXR6IhKClevouMdMn5yaRw9Zuv%20FalAVMk1bduwgmHVdXEpPIQw3NEL5OW4psCcWfDwFhgZh/4hWLUE8kX41R2QqoKpDFyyFrbugp/c%204j9SEGDpPNi357T/CERRUBRJlmcvmk9XiF3dx775/bsuis5KBeNbhzsFKuyf6BvMT86ran6s/0DL%20snlz37w2poY442p1VHJJtm80sSyB4Y7QS6sixF3w14H4i3h0D8DFayCTg7WrYGLaHz+zcA7YDlx4%20LmzfA3Nm+jO5x2Mwpx32HjvdMTlesvf39Nx7441PPPRoyTbHJiYye3rWVM1aUjtzbeP813ScUxeK%20l2xjVcPsnunhGTPaBhtIdTDK/AvEbjAeUVOx8p5+08URiwhh5Y5eIAY8Rqn8UDg7vzQgsyXzIJP1%20J2bxauViye+5H+mBma0wnfHnHGYc+sagvFfuGAoQ6fnjnfuddGd6ZKqpt2egt6iU2eWkLlkVmy7l%20JqzCnqne1kDVtbPONVx7RiQ1WJoKzm7wm0SVZk5AUYWOau2xwcnRiYbaOsfBzjtCWLmj0+YCxKmw%20YiSiOZQTONorP7E/NDDkz7DofVg2BANgGLD/sLCzMzI+CbIGtZPqkmKAn8ZQd85YU319oqNdCgZe%20w2aeC/Xd+bHHhw59fu+th84P66vr24M1vHJDlCJJLUoi89gR01/CqbKgNgOpzjvKKKW+cX9FEoQQ%20hvsropVCqSAIkiSJ3ociS5omKhJX/TVLQal8SJXJgk/jsqdXvNsiUxXX5crPDt3yQPnglmPrXduf%20ZDGdhYYUHO6GJwrf+vXwsUd635kIA6Pcpqd1oxQRxQ2/vXX84U2SIB8sjt41M7uxtbSrnV31mXfP%20X75kwfrV9yqD2UxWoxLjXNW0RZPaoSd2y0GtMjMNJYooCaJgsef6ZaTyMqXKS668fK6Bt0MULSBr%20qqx4TyH581CS4/dIIYSwLfMSPFoKgqyqjILNuGEYeqGg5/KD3T2uoRsT+Vzf4PZxUAJUkrii8UAY%20giEIByr9cVJ5N54z3JjLj47Oz9OrwRXtyOuy2UeoDB2tsPcgCFrNFHkTQPWg9eaxyZ8GhdO9BdYx%20zfVv+Bv21rfd99XvxkeEVe95zxJF874uEcHSzVgoMuddlz947+Nt/fn5gTouCnMTTWObj+xWd8yc%20Pyev57P7+ppAdIKidyh55hVVP6WV40u4gmVCsehPZF8uEEsnjgPZNOvOHTaLD1EKYiCgRsJqJBJN%20xEFTRUMTZdnbjU/2jBBCGO5neUcGgKt0ulCYHjw6vfew3nOMjQzS9LRULoULpgSMuKwqSQ7ma/35%20VGIuaMwxAcJMTLiBBru63W5d6lgOPEfx6n+LeKlnevW2y1hdjb+G9YGjsHopPLhdYJWV7Qix6QuZ%20b8srlgOq6p1VtC6dNTI2FgvHbN2f78XiriiLQ0ND2a6hQDK6eeLIzkOdl7UsbY7WrEt0HHh4aHLH%20JtFky/PK/mipbk6r+4yh7t52GrY/XGfgiDR9VCr3SaxMQReoQyoLSFFR5VXGnSX3Dohwx5Us0NxI%20EFKpYjDipFI1ixckW5tbNOLtUiid4fTICGEmof8bxd+LE2Nw8F5h9726NfjheGkiXlVOFUVSkKko%20JD6YY7qQ/mFcqHMiry2kf6QG1hlKu+VOC86EUH4iwEfB3sdHOe/SnAFuzlVOPWUAOd5JCwIDgapT%20GaCSX7nvPwyUEmDhykOChMALam8wxqxSaekVV80pl+1y+fhvp5Smc9n87TvWuLVMcNfK88V54qaB%20A6ooJwORZckZ/ZnxI2JuzyxWvWZVPBR1njFlmKTywV3yI18LRVgk0uzUL7H0TaqbEyLXFOxx0Z0i%20VZ9KT3414UzIoVVlZXZBCGbNo2Lx4REmMqOX5e4NdguJzFJxaj2dt5QlqioLZON4HIQw3P9yO0+B%20w52w7U41/WggqgjzFlhgjBlFreaTufJOIftLlXCe3xas+kSa3h8SW2z9qOwUqLJaF6vd3H/EWYly%20zV9RWwKIex9c6rUcpj5XbyYZHJirfTYUkjV7qyT7KzoVS5CIw1Qhvyz5BYuFNd4lSeDPLMBPcmgQ%20vZqfEFmWJVl2HOePs1f6y40wFtQ07yuVNfVkL9wLfZl4Dqpbqk3mSIwoghhTgrpjCYROFDIbmwqz%20r76gUdaIy50TJ4P0njToCE1UBA28T5G35Wi1k/lJlNQ5+lZNrHYg6jJ/al+SvTuUaHRIA8vcF/Mq%209JrPT7ljUipXah8qT90XPfhIaEedmVpXOvcqq3UGgIFVPEIY7i9+wT6Vh7u+q6TvCdca8oqPZ6wx%20EWJM+xuj9H7N7JHlDosInEhcf0L1PuLvyVpdcuHOEA2z7M8i8RtyqS9NTv9n3NivEJkfD0TuHQrI%20qfsp3HuMuHL2aNj98sxmGBr3+/WKDGOTsGAWTE4X/6b5/+UL/vMkqmHyxPkUpcqVyhxj467T57rs%20WJeoqbFYPBEOM9u2TBMqQxv9SYApLRVLk52dsaYGr3q/6fBDDZGqVDD+qNmf56ZglFbWz/a2ZMzK%20Vy9qTyhB0zBPvrEEHAKCyJ0hcfrb8eTHMvao6OaoOyVI9Q53gOkEbPD2D40xZ5KyPBXrHLHJyd8Z%20Cqww5VfZwkZeKxOYCORuCvz2TqPx9fmr3mKHZSzhETotOFrmjMjQMwg3fTRCf5vsILIqgitzsc1y%20BkV9u8odYh6RpSaHhhgNePkO+V9FA3Ms6sWZF20aD8y1sjfG3TFRmWPx0yhFjw82EQmUy3CwC1Ys%20hd5RqK72b0bt6YfqBGzeDovmwcAERBOQrIIDR/z7m7zH08oPyoQcs+279dImQ+9x3RQh1r/++2Nv%20u/63N7z7Z1/72sGuLiUUFIUnV+ymgjA6NbH5hz/a9K8/EAJK1eVLNkwcKpVLpfMayEUdc2KNlX4+%20V0AsZHNE9n7J8zSAiMbL29Ti/cGqj2adAYkyL/FB0iA43wzMNgUKco3LSwK3idxmg0uibyiAxKa+%20GfcOjY5OocZu+cf00tWseGP1jz8dHM9iQYLQaRG+cAPuhBd8QDRs+PW/hBs6I4Ewd/3lTImbEWJv%20LZS3aLnbI1Tyx5eHzylT1SSRcuGYW0rD1CFxYr+cd6DocqvWZs12cb9c3BCkjIr+1DF+ae0V7QOu%200yxK5MRktxhPmzxr8LFWvWMB27rTX6Z1eBQOHIZUApYvgC07/AkJvC96VXwuD3X1ML5djuUlmwAT%204H69nOdsqawsUdQ2UWoUxQYqNLu8NZPVdu/dc8+9ezPpGUuXhlTVcRyBUkXVxm12sdmSH52MJGMz%20nUgjCfcFjWBNPNSZrg0lHObGldBYV393eaKmuf4kJxuiePiBB+v6B0RJpowQRsqHFKPEp7eoBRvy%20Op/qEosCK3KnMMwcxzQPAhuG6Pm6QKi+LaAuNwt3hTgjoUtL2kpDXWKZY4LUpUqD6oFJd/l6G0fR%20IIRtmRfjgAjDQwDHVC3Ij3eaicyto7LdLwVmOMZ9liEY6T6h9xtNdrKBJFvk9zRM2SaRQq3zFmWH%20br2g/nd2SSgXSWmaFpqNwrigj4h8QlIKYpAfn3vxxI4KI51BY+yKbFgmK9pY96A/A8Hhbhgeg/NX%20Cb3FC3+6qe6c8x7tPdp/8CisWQEug9EJWP7e0r4jZT1Hxu8JXBRV20XJO0MQmeu4Zon5w1oCRJAl%20pVaJ1blOz89u/un+A9d9+d87mpr279z54Fe+sqBqVdXcc5dCtNBTDIdCAie0ZzR03txDof07dtxr%20COyNc9denpi3edPB3uruWXNnP3u+X+K3mfQSTRPXijpCi63Vutxlqb9NB5MsFOSGzh7Lfqi5/SJT%20n8yOZs2pMatlaHigX9o+GpwqNMdZcE5JWcaYxJxxkZumd+x0KI8EYeqAOpktV0ew+Y4QhvufnQv1%20dUBmmPZRGRS/hvSKbpGTiRujk6KTmdOsnrMisWxZQ+vMaHVCC2giIfv37mWu296xeFzZuKAdBMX1%204488+WzlMkxOwWA37dkp6w9L1CHPurPUq1SDtTwg8nQOQgG/PC/r8LrL4NsbPr5t8mvet+882vup%208y/qUPq8xPdvGJUgb3MW45m98rWhYJVIgfOcVdwgRLYnl0yGmzkhyeLwsukDlxjTKSXUGk/E9h78%207cc/ef0Pvq8EAus+8pHx4cnHD3QNBRKDNTxsTilFu1xF25Qgff2aO+B3kfqqzWPD11jtmQh4r5G5%20z14wibhEDzvwhsyiNbRxBqtKVta5Pt4CrLyyQtY7ODXMXb7MdcpAqbc9DmO2aR/YtXvwwP7egz0x%20qzt8z1C0JxCeYwtvLLC8d24DugWBOWZ13N8jCCEM9z83BloI2q4ojxwMVCmEArE5PyjpidYc76ia%20f+V/NDekwHGYZbmuy0olC8AxDOaHl+laDpiVgHtGegdEaGmAllZ2/pXGWAasLX5L+oRf6EJQ8Ydc%20Dk7A3JlwtNf/4u5OyMBVwF3wotea0Ztdl9X7QmEolSEehf4JKPaIF3UnqsJUYO4Tpv6fLddMzX4D%20hOrBH2vOJzjvLE/c1fX79/XcdqEsxaKR8zuP3PJvX/rAN74uA0znMr+8/WO5a1+95g1XG7qul8qz%20FE30R77wxa1tsiPFHXNQnyytTnXU1lpl41l7yDahbYn99isqExTYlSpbP6Gv5e0Eb1dYhuHaT38j%20qCipmqS6akXo0ksYc/KbrhvfUxzcHzp3RCRlKhAyQZ1FV+v+ZQS8porQ88ELqmfEgBXrnEKDITl0%20irl7LFMnXByXpvcHQ7LoeIFeLjuOw08csM6P34EUrNyCL5xwtPATsOwn4EnfD0GAwRF/Gsi2Ztix%20H2bPhEgIFs6GeNz15wkDv1vf3ka9Y0pTPagq9I34i6zWbIo0h6jA2UbL+P8WfXRq4ccgWAtepWwX%20wS75/9CSubkf+Nqyz95tuyJz66LR2gc2PPi//+tttibKi294y8L15wqmq4FYFY5psqJb1p03/fTg%207f8b3T55kdbeLRZq58xwzZNX0V6q+6+oXHlp7MRyQqvshD95qd7xz9tptmFww9BEaeLxoJqVsmV+%20/7+Gpgco9Q4Ts/WlyxmY+PeHEIb7i9aZqamCxlfpXWWnz7EXKcpqrtXsjdKjmhe3pxo+IskwcEz4%20zfdg22aaLlUy7vTYDJrbINUAR4dg9TmwrxtcEabLYDoSEBGI4r2NmTK1KAxnoOhA+1zou0ddraou%20gV6j+N1Z76Ity6/i76b6eOXwcjx9RaE8eiW7QWqY/1/zP3TQLHFCFsnKsV/cnC6XCCHnXnhRNBTx%20Tj68rPdPQZgXrvar3/f++e95y7Hc8J6JHgUks6S/gNuliH8T73gGHttAb/s+5KaIcKrzRsK93yfs%20C9YdipwrabMspbPo9NjOrCvLAQ1w1WyEsC3zYjJhxWXm/b8pXwFhCtwALiqMSM8VPETk7qRY/J/I%207tsCW1Lm/LcULr3aed72sUuhwZQmb456BWvSgMzjkCyBJELa5uvg31azpH8zEIiBX+zlENREUSLk%20IFiLiqos+/2gX0VmlWa96xzpO1++Zu/RW7d08TcB5CvnEYEOcctXXr9v/I4/7Jz59zePPPLF3H5F%20DdQe6dq3fccFa9caun7CaQfnsqKooVB6164xGP+NC+qO3gWveh+l9LQubRL/oPf7n8j9d3hPIbsl%20XZovnLq0IN6vc2TGHWZwGhLofFd5tDZ//ToHDPzLQwjD/UVlw4wWWPEqu3AbScS8UyD+vBUs50AF%20CGk8rFF3PHDHj5zlFxSSoecZ+OECrwOxcVzilcX2WO54z7zSroHthBw/nHCXqxy87eAyIRM6adEk%2076s9trV1wXVgmhIbJZJXaY+CVYRgpXgvFkU+5r3/kjEKrLi7/fWHtu1dJPEWxjsfe4yvX3ey7eeO%20YdSvXj37issConjPTTfVNze6tn2af2jdg7Dhp4GrhYATcDOc28+5v45flSCVU0viehtLLniHFU96%20m41/eQhhuL/YLHj9e4zbrXTPlmCoJIVt4kTJaexxogM/QM2kKeWmSDLKn3dUn/d9Vzzp0G71xP/0%20O0Lek1sCi3kVNXN3qyk71PQv819brw0fGYVPnPuLvRNPfKfv+96x4OMdH5hX1XN0DP52+R8uLuz+%200v5v7Qg0LnYmo7Jsdx7Ol3WVEP4nk9zYtj13/nx/igJKr/vox72jBOP8NP/QCmM0xoQdgr4QZIEQ%20+/kqfUcnZYvmKS9ErKq3Fq99o+138BFCGO4vOgeSYfjbz+l9vXrfISHXyyEbIO4pJxDw8jYgSaOu%20M2YZsyXZtcn0NGnr4Cdm2tODJM+AV+eWGZOAePU7d+1jkQbQ4oUCBOqirQ25/U7MMJ58dl0nQijW%202pgt81hpjIAS7g63OFMjoiiLk9OFQj4YjZ10WdTjX+Suq0rS8RkLTpbMT92URZ7esvQknUPksuju%20sIxq101IEqXkVHW7dyIkrCkojXrHDNY2z21qqoyQwbHtCGG4/8XynbrQ1gJt7S5IULvHLNknmW7X%20SzpJVfOG0Ts4qBK+TFYVQiYNVkhToCe06S2vPC2BxCuTfKngVI4UfoFsEFZpVYgSMNlPVC88qUUc%202w9QLySp6k9k4D2ywJiX7F7KO8xNK1EIN3zrwJfOOfKfr1u04xc7F+4VPwjxoPec3z/2b48fvfGt%20Szfdtr9jq/130JTKqHGLuyolkq5nSuVEImkz9jxtJoCTXlB1/FbKsxWnqHdq0SCIMUL36kaut2cu%2081f/sAzj2cOKuH+Uuva95pwO2890+8SRlAghDPe/BP7UhLTSScZfe9W6pGkGIeN793Z99etz+gaS%200bjNucO5yGhxkj5d2xI/xbJVVv7qKUUGw+HDW5RawwtqGBftmvVGSCVEgL6jRDscCEige4eBOeXW%20Ds4ZFAw+sUWtdSQv5fcyY6Yo+aPvgTtU8AdFRuuTTro2DGG5CMG2OeZPvANRV+RtkXK+NgJRIe0P%20keTMJaJ3/CCCwEzz/s98piEQdNkZDkwxDEGb2QmXPWOHcChPC95mWZx7B7bzorGxX/7mgcNHW65/%20+6yVK1UglvEn+W1UJnPH+5UQwnB/SREEQdS0XLnctWHDwE9uaj7WW+N9VVEs/uRNrYJLSoUTyl5m%20QctstuoCSxJgqgyPHNTOndYI5U9obOU77aakv2DTXTcL1YeVlEonbDZxXv7qt7qOCYPTsH1PcLXu%20ld0kJ9kmuNwGkdCwVQDXBkl+tPSu9P7tu/irwCr8/Xm3Go708W3XbXOvt/c/ss9aDWHFOxAErbxM%20/FtjHcZWdfc3UnrGy13bZTJQXTxhMIwX7lkSZX6zhlUyv0aWE9t3ju3a8/B559S/4XUzly8PBoOC%20IOBfDkIY7i/FIt6LbVmRXVGYmJg8dudd2TvvSnQeXklFL9b/mJVe6LllOlxbft3l5rOKfdfxktFv%20r3ifvbrZrRT03uHA0f2vcMfPatfve4BL/H9bJXAt/4YkXrku6zLQwjxLXWecS1RsLI9tt0sgSIWq%20Vz3uXAoJCUY7g0pZEkUoTBr16x63zwN/+WsTHLOxNOz9iPckhssVrtle0Kt+5c5N4j+1dy6g8sp/%200idHmlNOKrMvcIv4G+Q9QOHHT0QYI1wonfDCGCx/rf7gDq3DVEH1r8L6e0PTGr2TmEc3j295fOPi%20hbWvv47U14nBgCDinyVCGO4voVodqCowWe7u6em5517rgQerh0bmShJogWeWwCInuSKMzixc/bn8%20zI4/czeZcX/ymXKNXRqGqCotKo/8LtsDNQvBMYAEOuybP7jue7ZlcWZ9a9313znwsT7pNcAMEGTI%209i0q9BNJ0k2gs8wZV5l2v5T/fdiL9cCasrrMMDuV0sNBsEnoqoLSbnmhbh5RiveGgHBtqRFYo9uD%20YvEhf4mok18ONmHpSm5/Kf3wl6MtE8FA0DtO+QcGxyvlA4EGzuv27JvevWeoNmWfs7rl4ovrm5uJ%20SvAeO4Qw3M8q2f/ITcOhJ0oDP/inxOF9NflCWFXdUMg9IfyBWNDPHO2a/A3vM6riL8p1QglI9UJn%20ZIsTJuICcFr67u+vXVo5rSAhMp2KW3W1/nic4WErCGnglaa/oFT3P7iclV0SGbOdcIoFazhbbhCv%20chcgcmWJBnlwvS7PsNysEL665OU4Ebm2whSirveP0OVlMckqI9KhcGeIaKcYLlSGVSt53Xezf/hP%20M7Mp2qiAKz45St+PeFWtAqiZzuRvv2PqkU2Pt3cYa6ExCcGIf2DAzjtCGO5/WZIf693HYNvdyvjG%20QGRCWkyeEGTZi/VnxpGXe6LrTulOf5Pwqg9OnXcB91L+RRoBYlswbzFsTeizSpGgHHzdyEPfGrsU%20UkvA0Xcbb7rhV7EPLvmhy+h/7X+/WX8pUB0EDaaPvLb/7oQcZC7prdIXJ4X8Rin0Fjtwju6PalS4%20W/ROSkBbbjKdeP+pb1epyiNthcB5ulfaE4W5BRCiIFa7nBPyHLOtl6EpBe/7kv7g3dbj/13dMaVH%20NdkRhOM/UBnOLwZFMazrTTt2TO+M/uhWtfHi0urL7MbmyvVVB//gEMJw/wsIwtAQbPilmtkQqirI%20M1QCGnNBcE6MdcF2io7dFYsmPvT+GY2Hzl3yc6LDi7fchONCUw3su6jc/+tAS1S4SIB9u7714Nqv%20QSgFWiAYFqukMuMQCEumGvcHchq5c3Z84ypi2jQwXnTdxeaCax3b1a0eaerrSc4h8e5sYJ2u71DS%2034+7BVr10XTk2oIf1I9rU19LBi8pJf8uAwyMg1LhvuDxJQOfi+WvErV2vTtQfX22Wxy75eb6yalw%20IOAKwvEq3vvMKAVNrfEOLGPB7I+13/zerLuyeMkbraoEjolECMP9xW/FPPKAsOO70boptS0Aboi7%20zwhsv9XBOTOtjGNPNjYUz10VX7165fmXjO3qZSWgyou7aY4BF17j/mZToWEqTlX1g+aos+nTjyz/%20BNStmA6sv224jwHNBM4HWYKJI6t2fuPj5R4ihwiDx6G8cl9s5KPU4X7KcuZfTc3+MqKuMHK3Rpxp%20gQZZ+r/i3mvz54rJU221nvxwpnBnyPtH8b6gPSDR0GmMnuTg7YRkODL3g9f3XbbuyG9vH7n3vprx%20yaisEEV2nzrw+ftT4lEJ4rqa+bl60yOliz+ZX7aU43y/CGG4v4jdmMEReOIbsbmG6obYM0t1v7Fu%20O7ppTCpyaeH82BWXLb9w3fjIqGsYZsErjF1CXvSts12oj8Gy95Yf/Zp0CQuBHPyEPb54y6d/V3fB%20QNP6ncpb/ZGYZm/dkZ+9evjhK4ntJbvgkg12af4nC7O2iumNmvd3QRXGOZFn2PH3ZanEkx9Op38U%20Mw8p/hQzRcGfRn6uVf2ZdPGBYOan0cC55UrJfXxwz2ltpOu4VqHQUJNq/NhHR974hu4HN4ze90Cs%20u6fKdRVZcQT6dCEv8GgYIiOhDV8nM3+QjQbwVlWEMNxfJBxkGUKBys1IT5Xq1CWOzSa5nm2oF9ac%20V3/xRcvnz/cvqxrGULnbi0Tyl9o6f4YZHdathh0XFP5wF70qoXFRvVxga8c29I1sGBU0r/BOufoM%20ysJS4P9n706grKrOfIF/+wz3nDtPNVMDVQwi4ABEFAc0oHEgOEVj1KfmpRONaZ/Jet2d5C372Zos%20zUunu1/a2NptTGt8iTFR2yHOIyiiKIiAgAhVQA1Qt6ruUPeee4Z7hv3OqcLXimAQGfJc/9+qVQur%207r11alvrf767zz7ftlmYufSyo3syP74Wka8rmrVgTY+1TvU0JmbdUIc98k/p7PUleYJrrmHBpdQT%20DG6w7PVFc7VSui8RP0sT67zw8WZtq+zslEn8FFNOjm2TbTfX1U246krtqxevfP6FVc+/kHjvvabi%20aEIIizLzBD72LoIEiceiXJIJG6gCINwPGpcyGRJbbLcQZiKXOCtVaTSrFyfK9efdOOekeZlMRnAc%2027IsLWhjyPbUhOsQ1O+To+IwsUd0bZ6iThBkVY5NZzSDj61elyN+xHseDVW9N0L6EdeXj3mpbvC2%20WH3SqfthgclU+WO0cGcqSFKRxDqXjaUqt1j8Yi11RYXXyN4qj/xjWqx3098c1V8Nh2db3tl6/s6U%20EPnUv+l4xMcVpeuomcmONsswq73bdj71D4mtSrqixKPBRoM1h8IddjSKaXcAhPvBrNxlv3Jvd9w1%20QW+YDSGz6+valxbVesoT7M4FqYhoa4e/NW1wo5BHfqyXFWe5ZQqycYStZlwxKgmCynXXG3Hc/ljN%20m2HNrYRPOIV6nyeSuZjxy3NFey5a9zcFNy9Wl4WNVWr6G2VrfcjaGPKL9NTllfxtKWW6FT7GCm5r%20CrrYkPZiVGp0iH2mE1iwE6FperrRmK2LdkxsmfmTKNeWPKK890xsCik2p9REByvfARDuB33uo6HT%202eA6xZrjyd6Rp9qNndSzwqvphquE/3wO0+S8RZTmU2TD+UORKZXtG8XBrYL5djgtCmFLnHWad/S1%20lpNzqmXmBW0Xmb48nPhKxRmQuBWcHux+ufjLpDLVKt2XtDaFQhNtbpP/OTLXrC6NeIYgxLhbFrLX%20FYWEa65TGDsAb1CC6XjDYBa1z6KuQXvTE95az0owsWuii22YABDuB31mJt7mbHZrC+KqqIlLbndm%20/lxj7M/xSB1OlkdNCXbGfPJOcVesdofXpo5SQ47KnWXKEJPS3yqN3FRnb5OZ6pUfjgtRL3qywQ1B%20nWZVIh4b/xuROAtxZUaw1D081zDeUov3JoO9pQrC8K11jT8erjwWLz8aH29RcECIApnD9Obt8RN5%20VJPcl0lf1OriUioAwv0gs2nqFN55pGtvFpSIR93q0KAmHfy2V0wgzvan4bvrBldZuR+PVrDKscb9%20EpzzGrMHRc9kzpAYvK7A/b+I0m+So/cnpWan6afDmWtL2sPRMCPJovAVo7Ez9Nz/rLM2hnatihGD%20k5wzLHo6Cz6bTIgesHCXZOrdRupOhWSvVhGmn+C0teA+JoB9hSnM/a/cswn6Lz8rj8wvlI1ghQjn%20n2GXjX2vZ6X9mZlgH3Rf3w336/I6V4hwIe55NcZNJtU76lGWMt3iHg39OJuYp4cuM5cV2quLWN25%202vBPM+6IqMy01JmW3Or4j/cswa/0/UwXswe4qA6O2Qs2rho2ee2CkStvrqoSdscGQOV+SIr3pgxd%208XfGr78t+1VvYyNtHTnoP5Pv1yP8itz9WHsWv2wPzzJTl5ednJj9y2Lx31NeRUhdNaoebfnf4hbL%20/ziz48HMzacvWDXSVT+lcMuTz7Vur9bfkBezjh+9dq9c+Nc0E3nqylFPY/FzNGdI0peFx1tFHoDR%20daitg4qxWmZa7es/sOQaOswAINwPGYuSMYosqHZN4KQQP+xLsIOpEs727f0Yt1n4ONMtiSM/Tzf9%20dLj+xhE/0IUYL/170hkSs98ttt4ysmp4wqrhLkGyhosN62Y0n/ilFZpExTvS/tPT3yk2/GjY/1ks%20zHPfr09eXImeZOivHLCLya5LkQxNuqIsKFwmJDsAwv0Q0+iSxW6w/tr8zBMRn3lWZ3xTPmHfbhNl%20MtffUMPHGQ03jth9UvGepKcJ6W+Mpq4YDSr3Guu/JVs/zfzC2d0rC1316aGZrw/23pZN/rCUvrq4%20q3K/I+X/w3983Q/zTODFX6UO8DyfQeef65o6YWtsAIT7YRAPj90Q/5nH0vXG9pRmn+0mzH1+Lgtx%208x219Ntk9i+LQzfV2wNBI18/4uVGN9gVpCT6bwJaLhm5deOzW7KZxv5q57n5gQ3Z4Z9kpXrX/2Xd%20gmD3ydxj+Z9nWm7PlR+PVV+JCPEDOinOSfIoFsZUO8CnhguqB4J3gO6JH99x+hAeuJ/vfqAHJ/kG%20R4h4TOFOTjJWK/5nP98bbsxXN6rmPZF56b7wI1RcEm3427wQ9eydkrlW8St3//GC6kmNbtAZWKQD%20Ndv+oeMbGxMkOwAq9/+vHeIZe26y6Gl6+qqSMyjW/SA/fEuwxpG7LHlxOXlJhVtU6wnl/3daSHim%20QI7I9LtSYsJt+NEIk0l7Llq8O8lrTJ7gNPztiFcR4osr3GblR2MHcKk7AKBy/1z8z2CHNuI5CWEe%20XFD9WYYJ5FfuflgnFmnJiyul3yacIclPf24FncL8Rwbr6x3ydMHThOI9yeiCavLSMndYUPtHeP72%209Hi/X+6xw3OmAgBU7gd1nkOUZEmSPe8jZ01RlBjz/K8LgrjXFTU8WMMujq0SCXofHrxDFD4IXkau%20JkiNXnxxlanBohc/rKUWxy0LXlmQGlxrfdB43q/HKUj2ILWdIVFMeuSQs1OSW51gG6aI5xfy0TOq%20codrrNz1W/u/I/tT93OJgihLIcb/szu7NDZ0/liJkv8h4wwBgHD/c3kXxAV3JDfgWYrnfWSeuFQY%208r8yNNhvGGUhtPfMkikkkmmRetDCXRBoeJQKNU9Ug9Uy1sZQ5Ylo4iKt/HDUXKMIqudX4mLcy1xb%20qr4SLt6dlCY46W+VhCj3PxfvTo0+kBAiPH3NKNXIHRH9wr+2JVS6L5H6ell7JqKvUAUl6Gxc46Qk%20g/1X93qCCVGlUhjc2es5+ofCXSqMDI6OjrqOpSih9hAnhr8qAIT74U52q0KFwlDuvUtHPj7XNVbJ%209w8KYcXuG6KO5r1sNyFSXKFSmTLJgzgVkxut12Mxcg0SmVcSS/cnwnMNryw6A1LmumJsoT50S8bN%20S25B8M9BUr2rzqwVfplMX1WW22zr/dDow/HqsrB/Dmi4MZ/5b8XhW7N+Oe/mWfH/JPnYDqv+0zTu%20Zdo+qVFAb46sHb/Y1H/Hbqs/OfefzvUc0zgNtteOaAreZ6B+B0C4H85wz5dpdR9vbDK49/HQDuZA%20/CAbGqW1PdTRupdw59ReT6uHaOrEgzQj49fLFEnNl2bZxuuvsHCYJD9KBeMtNX5+RTnSUo+yRv45%20bawMspuJfFfLMD9b7V27XjM/uT2y+2T/KyN/n6n760LjLUNyq2OuVbnGWDiYnReJFWR71lRvr02+%20BHrzfapKtVh4D7d9ja8E9YfwjS103BQKbiBAuAMg3A9juNfVUUcDdU0hvpele5JIvTuoPUGkjN1v%20+fHMsunIDnpxY7Dg/WCQpeAAWlpOM08Zzb3yYmsk4nhcUDw/ncUkj5xometl/fWwEPF2zYcI5ORF%20a30o/e2SvU22+8euCbBgPofkYI28uT4UPdniNXKLTnA1dWx23rOZ3mJOm0J73uzUf+UwTWqmpECN%202b3+pi6nnYyiqbGzIJZCAiDcDw+R+vvpD0tJytDOXHBFdM91Mwuy7JHXqVCk02btacLBo3Q9ZVXq%20HyQ1fhAOU6DNvY3zzpxjdVVfTSU7bNcRBD+OxZTHxGAxzHitzU0W7LskBUvgnZ1S/o50098PFe9O%201TbLQW1OY3tX22Px77LgWWOvEOS+TSKjQcNrmmemU8G9ux9PdtumZ5+lVX00bVpwptnroYo0UKE7%20/0AXnUr1WWyaCrAfBScciFF8YzM1TqXJE0lVKBrZ80ckTIkYzT2e1hdopLSXsXfp1KNp3XqS5b2d%20IfZzksJ/3zAwSJ56XnNztqOtjU5fMFzVRMFPZ1b6TcJcJ7sjgljvyW12ZJ4hNjpeVQgWw4gULIX0%20S3kx6AYcNAuuCkLCi5xsSG221Oy4RWZtkku/TnhacJ6QXOH9mL7gHGfPZbt/FhyirSbNnbvXURr/%208IdxxhGkNNPbPUQi/sIAULkfFh5Fw9TcQuHQn+4dJslkaHt/mE0zptLLa6i7b8/5LsjkfcpJaE5c%209N81OO6Kdc3zF/yFwDzbchZec80zLy9daJhuSDLXK+ZN9WLCy15XbLx5hCncqzLtmWh1adQZFoMi%20nQfnAD/rhaQXObMaX6RJWc+tMmdIyt1Q7/qP8YIF7zJjPRWn/mvazMlE1b0cDaPWRmqpJ+dPdWb3%2031QoCglFzLkDoHI/XEMokyiTIn3oQw6iWRCDuRdp7D//81tisN6RQmNPZHsu3i/5Iq1+m2yLCWz3%20nP7k5mJs16N2f+WIzN9cLSp1123Y8PYTj/7usd/dsWLZq+rll260LIXT+OVTtyjkbw86f5Ufi5Uf%20iqeu1NTZplcWlKk1IeaFptY8XQhNtjPXlKtLosV7E0KUF/4l7ewIJuL9V/AP1TJoQ0flqqtcsvZy%20cP4j5WAEdhsrcWyg/OEK7TaMYnAyCyoQrIkEQOV+qNUol2NLNzbyHWFJHGvLKDDmmjFnsDnB/dgq%20VSlnJbiacb3g0qAsUm6Qq7WhhTOMYM37x2PLofoGuvB4uuNBZ55ATPzoRAz/5CKduLB7V8gQsR69%202HLst+objnj10V9c8MXJtaS7c2h1ufXk3AXnxx58qC2ZshhncnATk90rRU/VzdWqV6bEBZXwLDM0%20pRa0frysHJ5tyC2up5OYdSLzas5OkZvBiY3GdoYSbeFpoXL5D/Wm9J6aOLLg/Y0zSis3xZYM1DXs%20DNq1+7W5/8uJxnBLVI+pVHNoYFQ0lWaPSd7YaUw3WdrWjmkaTsYwOQOAcD9kFFq+JnrlU1fvcI4w%20jAZGpaQalKxlK+S5KYGGm6JbVdEZ1Ot1exIJtUhIi8he2RJrTvLOHje7pPfS1kduu3TFHvqOGfTF%2046h0Q/WJH0vnuXFx33ukj/Vz90Pz/037qEQ9peKOC847efGXtfUP3fXTr95x8yNrn3jnpif+auuW%207qWzp2+pnk1PPtWeSpn+sww2fGtdbGE1eppe+FXKf7XIXENM+KFPfp3OJCo/HvM0IXFhRV8R1p6K%20edWgOYHoh3tNeLymfenG8vw5e76O6r8d+dp9ZzxX+FJRbyfXVbeUYzLXaoJpJ8hjCWVzvVrU7HBO%209wcqIYqlpGI7nj+SYWKJn2zZ0Smte/jiu6dMdNHVHQDhfvAxKuqh7soxk5vpKyeVzjy2IRUL7tcv%20V2svvjv80Fq5pzLb4UI2bS5qL351bnZiY70kCjXbfXd78bdvai/1TdtSnLDXSrxKF5xFkjz62I94%20TBf2455VP+Il7r6jjzpXXnzZ/7hh2ZN/+NqCruG8Pvzixll5c+nz6y65duF796w86rvfWxJRRh96%20dGY0asuSVwumZSpPR4NJdodVX46k/6IUOcEw31UKd6Y9XfDT3HhL5bWxFTUiVxkrVukFZfS8m7Xz%20z9hTsn9w1tlU7DTYpMXT85cdn5rc0uUPhe24m/pHf/dm6fUdndvsIxXVmd2kXTLLOGnahGhY9jgf%20GTUeXzn06KbUhuGjqpZIDItmABDuh4BLdTH25HcS7U2J9b3FX7862F0ISubODJ01M/6745OmzR2X%20R5VEqWo9syZ/1yuFSk3Ihr2TJyk/+coEMZTY8rbsh6mwt+Cu0OIF1N5YvumfxLq1dNb8YA3Jvsw+%20+7Eelmm0SO9XY5Nu+P65l18oeZ7jWJFwPF+2FMcL++cYzSQmqCGSbfuKG298curUl//1rmNL5Uw0%20ZqvBMnMW4hQKbkoq3ZMqPzS+GIYLUW88qQU1uHzq2cIqrdY7vXzd9605M/ae7ES6RX+zUJkxu17T%205GfX5u9dPjpqUUrlJ3aGbljcooYkveYpEpOE5FvdxX9+bmCgTLJA0xrYOUenrz0zvanbCXFcWQVA%20uB8aAhk17x+e2Tlgld7fGSIvTqEg+17rFn/zlj2psX9mI1Nltr3gvrNDNvVIkJUi98vhJ9dS+uXc%209MbSCWr1klmf+CM0OmYa3f9z955H6K776IR5wSKTsMCUDy6Fs7EbX8dnvaVgvaIneN5InlZ1y4Pa%206Rd9+7vHTD9Sr5RDIaW18+gXXn1+8aKjhc66vmHt9OO6Rrf07SzHj21tkTx+2X/9xvpTTnnl3+6S%20XnhpUtnIqoogy54f34y4zIOCXQw6vfg/VGQkMaFq8bWGva1BP/Yq/XsX8WC7Eu0TZ7BkenHD6C/e%207V03UKtWIyTvGopn3mU/WzI8u8VpTohl01szSAMjEWJxkoM1QUs3Cb98Q58xodwsDP3jfLSaAUC4%20H6ppGb3GXl4fkTLi2dOqF8xOtmUj/pcHCsZj72jPblG6h9TgQaI9rU6/dCEd05EMK2JZt1/bVHxg%20DX9tUyzRJAfXCT/5DkyDwhJ95woa3E6PLaclK3hU17/gRVTHc2xu18itkWVRWTe2V92RSLhX7RK7%20T5wxfdEpk6c8+NBvbnvi90oiFvHYUU3tIa3NfmqbObPl7ao2p+z+6slSrOnIPz7/TNnUo4rS0dJ6%20zn//Xu7yS9c//czG5W/E+wfShhHjpDBhfIkOFwRbUvpr7L2a5k00T/xy7Udn86bG4AiDj08kCrSq%20V1ljhrvqtcvns9ldyUhI1Eznze7S/audpT0x8kRiXixsXP4F7cyjUg3JiOvx7sHqg2/rr/Yl1pUj%20zsmIdoBPk098GQZhf4XotTWpdfSLYybXea7zVk+5Z9jxOO+sk+Z2JSRJ7C9YNcdrSIYyEem9Hdra%20PqNsUV2UfWFitLUuMjAq7dxw5zUn/Edwht2XCQcp+IlGif64gv74Srw4Oj3b2XLEEYoi2aYlGYVs%2044SO+imTOtomJiJxz6t5nrt1S/cND/96Q5NITfVUMdqL3oXZKSp3nl352jcXXfLAplVvSGU7Igd9%20CfLF5Dt9f3fuZYvOXWxzXqhU+rdtG+ru1voHvPKoyAXLEXMVI1fZFo28e87J5cUnUzw5tm2ssy9/%20ZWQadNfKq6cefVFDzN08qL2zXS+ZlI7Q7PZIV2MsV67lK7WIIrZm1Iphv9Vd6Ss5ssimNYZmdcZt%20Lr+zseeLyetnTLFxQRUA4X5owj394I7/1V+Vnn1f0bQMCWMh7bFItHT6JG1Wu6rIYu+I9dxm3jNU%20T1zyi1PiIonGnNb8SZMSbdb9f73wMfpUjQ+FoDeLH6nb+4WVW9p7q/OU+lPbOo9t62iKhiXumJap%2027afz8ErKopilbV7n3rsodz7uYTMJSb0DU/eYVS4kxblzZ0ZKRnlHg9b7jwlc+2CL3d2dZqWxRiT%20ZVlRw0xSNdPbMZgb2P6OPrS0RV5+XEdvZ5sbLH80Pk3LF0Y1k25d8o0R9fSX3tc37qwjHhobCoEE%20a+aE/MLJYnMqVDacN7fXlvYkbDNBgktB82DKJkfOOZLXCcVvTv3B9Mk1hDsAwv3gU+nJ1zJf/v3d%20FBOnppd/bdKL0+t2MuKb8k2/7zltff4k4tGxx7mxcPdFHU+dMuG9pGrmqvGnt816euAsV598VuMd%20T3/vgf3ZgnVsip1EqpWpu5827Ejs0Ge64TmxuqOzjZ2ZTF0sqoYkP6VdQWCqKOYGdvT092mmkUmn%20/+Ol55Z3b7z3r270Y92yTJfzZDTW0trqSpJlObZDVd0qFAv53Nby8DpBX9kcXje9pTS5lZTkWKDb%20+3W0Dh37s+vXVC9UoxsuaH96Qdv6TFgf0aPP9x79eN/ZtVorjZ/ixNG59Uu+0vlaZzpvu8LbuY4H%20es4cqBxH1dzqq68+9sjanrsaAADC/UCSqKdffmxd5zHNgydOLqvpD1LPL1RH6Y3NsbVDrZYrt8aH%2053flmicEzXCDBwSbWdCmrdKSre31Ee3C44c+U9fDD1KeTMoXaXuOeguJYaPdoC5Su0KxtkisMRxN%20R2PJaDSqhPxSPvTKa8v8wnzOrNk123Ycx65ZerVSKef1Ss7S+rixVeXd9er2tmxpYsNY0y51fzP9%20wwfp0X3LJxATTuscaG/3ds1EseBlt/YKy7ZPyFXTMVmf09w/Z5IpxD74LqfyML26Jbt5JH3ZcT0N%20WQ8dxAAQ7ofEeCOB8ezzPjp5In9o2aLz0bnp8UQe68O15zv19/tgxF13DDkGlSpUqFBRo7KharWo%206UZrrup6oWC+xT8XWKbAaiHBVEQ9FqomwkY6yjNxSsdJjtCu8HUPaDtGdfxtDO0+tSJ/6O5T/rGR%20FD8YSQu9fwEQ7sDGTjDCh7oHja8T3+0MxD50BvI++MBycoDPw8wCfC7tS92NKQ6Azy90hQQAQLgD%20AADCHQAAEO4AAIBwBwAAhDsAAMIdAAAQ7gAAgHAHAACEOwAAINwBABDuGAIAAIQ7AAAg3AEAAOEO%20AAAIdwAA2DOJFAwCAMDnLtyr60MYBQCAzxm2PNKOUQAA+JzBnDsAwOeQRAyDAACAyh0AABDuAACA%20cAcAAIQ7AAAg3AEAEO4AAIBwBwAAhDsAACDcAQAA4Q4AgHAHAACEOwAAINwBAADhDgAACHcAAEC4%20AwAg3AEAAOEOAAAIdwAAQLgDAADCHQAA4Q4AAAh3AABAuAMAAMIdAAAQ7gAAgHAHAEC4AwAAwh0A%20ABDuAACAcAcAAIQ7AADCHQAAEO4AAIBwBwAAhDsAACDcAQAA4Q4AgHAHAACEOwAAINwBAADhDgAA%20CHcAAIQ7AAAg3AEAAOEOAAAIdwAAQLgDAADCHQAA4Q4AAAh3AABAuAMAAMIdAAAQ7gAACHcAAEC4%20AwAAwh0AABDuAACAcAcAAIQ7AADCHQAAEO4AAIBwBwAAhDsAACDcAQAQ7gAAgHAHAACEOwAAINwB%20AADhDgAACHcAAIQ7AAAg3AEAAOEOAAAIdwAAQLgDACDcAQAA4Q4AAAh3AABAuAMAwGfxfwUYAG7w%20Fs0d7AWDAAAAAElFTkSuQmCC" height="333" width="500" overflow="visible"> </image>
    </svg>
    </a></div>
  <div class="toctitle">Revista Ciencias Técnicas Agropecuarias Vol. 31, No. 3, July-September, 2022, ISSN:&nbsp;2071-0054</div>
  <div class="toctitle2"><img src="data:image/png;base64,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" id="codigo" alt="Código QR" height="85" width="85"><script>
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  <div class="toctitle2"><b>CU-ID:</b>&nbsp;<a target="_blank" href="https://cu-id.com/2177/v31n3e10">https://cu-id.com/2177/v31n3e10</a></div>
  <div class="toctitle2"><b>ORIGINAL ARTICLE</b></div>
  <h1>Evaluation of Advice to The Irrigator in “Amistad Cubano Búlgara” Agricultural Production Cooperative</h1>
  <div>&nbsp;</div>
  <div>
    <p><sup><a href="https://orcid.org/0000-0002-5205-4858" rel="license"><span class="orcid">iD</span></a></sup>Caridad Sánchez-Veranes<span class="tooltip"><a href="#aff1"><sup>I</sup></a><span class="tooltip-content">Universidad Agraria de La Habana. San José de las Lajas. Mayabeque, Cuba.</span></span></p>
    <p><sup><a href="https://orcid.org/0000-0002-5703-6632" rel="license"><span class="orcid">iD</span></a></sup>María del Carmen Falcón-Acosta<span class="tooltip"><a href="#aff1"><sup>I</sup></a><span class="tooltip-content">Universidad Agraria de La Habana. San José de las Lajas. Mayabeque, Cuba.</span></span><span class="tooltip"><a href="#c1"><sup>*</sup></a><span class="tooltip-content">✉:<a href="mailto:mfalcon@unah.edu.cu">mfalcon@unah.edu.cu</a></span></span></p>
    <p><sup><a href="https://orcid.org/0000-0001-7038-0844" rel="license"><span class="orcid">iD</span></a></sup>Leonardo Sala-Hernández<span class="tooltip"><a href="#aff2"><sup>II</sup></a><span class="tooltip-content">Universidad de Artemisa, ciudad de Artemisa, provincia de Artemisa, Cuba. </span></span></p>
    <br>
    <p id="aff1"><span class="aff"><sup>I</sup>Universidad Agraria de La Habana. San José de las Lajas. Mayabeque, Cuba.</span></p>
    <p id="aff2"><span class="aff"><sup>II</sup>Universidad de Artemisa, ciudad de Artemisa, provincia de Artemisa, Cuba. </span></p>
  </div>
  <div>&nbsp;</div>
  <p id="c1"> <sup>*</sup>Author para correspondencia: María del Carmen Falcón Acosta, e-mail: <a href="mailto:mfalcon@unah.edu.cu">mfalcon@unah.edu.cu</a> </p>
  <div class="titleabstract | box">ABSTRACT</div>
  <div class="box1">
    <p>An
      exploratory diagnosis was carried out in the Agricultural Production 
      Cooperative (APC) “Amistad Cubano Búlgara” to evaluate the current 
      advice service to the irrigator (IAS). A characterization of the APC was
      made, surveys were applied, interviews and field evaluations were 
      carried out in areas of watering systems for aspersion (Machines of 
      Central Pivot). The information allowed determining as strengths the 
      existence of a climatic station automated, the interest of the 
      institution in introducing technologies, the disposition of the 
      cooperativities to carry out improvements in the watering activity, even
      when they have as weaknesses a low educational level of the work force,
      the lack of specialist technicians in the watering activity, operators 
      in the machines of pivot power station are not qualified, all what is 
      reflected in the indicators of efficiencies that oscillate between 63 
      and 70%, and in the applications of inadequate watering norms that cause
      the low agricultural yields. These results allowed elaborating an 
      action plan that will drive to improve the administration of the 
      watering in a long term starting from the implementation of an advice 
      system to the irrigator in real time. That will propitiate an 
      appropriate training of the human resources, an appropriate and 
      efficient use of the available resources, redounding in a good and 
      appropriate use of water and bigger efficiency of the watering systems.</p>
    <div class="titlekwd"><i>Keywords:</i>&nbsp; </div>
    <div class="kwd">Advice Service to Irrigation (IAS), efficiency, handling of the watering, administration of the watering</div>
  </div>
  <div class="box2">
    <p class="history">Received: 06/9/2021; Accepted: 24/6/2022</p>
    <p><i>Caridad Sánchez Veranes,</i> Profesora, Universidad Agraria de La Habana, Carretera de Tapaste y 
      Autopista Nacional km 23 ½, San José de las Lajas, Mayabeque, Cuba. <a href="mailto:caridadsv@unah.edu.cu">caridadsv@unah.edu.cu</a> </p>
    <p><i>María del Carmen Falcón Acosta,</i> Profesora, 
      Universidad Agraria de La Habana, Carretera de Tapaste y Autopista 
      Nacional km 23 ½, San José de las Lajas, Mayabeque, Cuba. <a href="mailto:mfalcon@unah.edu.cu">mfalcon@unah.edu.cu</a> </p>
    <p><i>Leonardo Sala Hernández</i>. Profesor, Universidad de Artemisa. Abraham Lincoln km 4, <i>Artemisa, Cuba,</i><a href="mailto:leonardosala@uart.edu.cu">leonardosala@uart.edu.cu</a> </p>
    <p><b>AUTHOR CONTRIBUTIONS: Conceptualization:</b> C. Sánchez. <b>Data curation:</b> C. Sánchez, M. C. Falcón. <b>Formal analysis:</b> C. Sánchez, M. C. Falcón, L Salas. <b>Investigation:</b> C. Sánchez, M. C. Falcón, L Salas. <b>Methodology:</b> C. Sánchez, M. C. Falcón, L Salas. <b>Supervision:</b> C. Sánchez. <b>Validation:</b> C. Sánchez, M. C. Falcón. <b>Roles/Writing, original draft:</b> C. Sánchez. <b>Writing, review &amp; editing:</b> C. Sánchez, M. C. Falcón, L Salas.</p>
    <p>The authors of this work declare no conflict of interests.</p>
    <p class="copyright">This article is under license <a target="_blank" href="https://creativecommons.org/licenses/by-nc/4.0/deed.en_EN">Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)</a></p>
  </div>
  <div class="titleabstract | box"><a id="content"></a>CONTENT</div>
  <div class="box1">
    <nav>
      <ul class="nav">
        <li><a href="#id0x355700"><span class="menulevel1">INTRODUCTION</span></a></li>
        <li><a href="#id0xde9280"><span class="menulevel1">MATERIALS AND METHODS</span></a></li>
        <li><a href="#id0x3739f00"><span class="menulevel1">RESULTS AND DISCUSSION</span></a></li>
        <li><a href="#id0x373a180"><span class="menulevel2">Difficulties Encountered that Make It Impossible to Correct Implementation Provide Advice to the Irrigator</span></a></li>
        <li><a href="#id0x4ca7100"><span class="menulevel2">Inadequacy and Little Work Experience</span></a></li>
        <li><a href="#id0x4ca7780"><span class="menulevel2">Lack of Training for Workers Linked to the Irrigation Activity</span></a></li>
        <li><a href="#id0x4ca7f80"><span class="menulevel2">Analyzes Fitted to the CPA Conditions</span></a></li>
        <li><a href="#id0x4e5c280"><span class="menulevel3">Lack of Technical Instruction Handbook on CPM Operation</span></a></li>
        <li><a href="#id0x57a9b80"><span class="menulevel2">Main Strengths for the Implementation of an ASR in the APC</span></a></li>
        <li><a href="#id0x4ca7080"><span class="menulevel2">Main Weaknesses for the Implementation of an IAS in the APC</span></a></li>
        <li><a href="#id0x5849500"><span class="menulevel2">Opportunities Offered by the Environment</span></a></li>
        <li><a href="#id0x589b480"><span class="menulevel1">CONCLUSIONS</span></a></li>
        <li><a href="#id0x54d9400"><span class="menulevel1">INTRODUCCIÓN</span></a></li>
        <li><a href="#id0xc4be00"><span class="menulevel1">MATERIALES Y MÉTODOS</span></a></li>
        <li><a href="#id0xd5ab00"><span class="menulevel1">RESULTADOS Y DISCUSIÓN</span></a></li>
        <li><a href="#id0x4cade00"><span class="menulevel2">No idoneidad y poca experiencia laboral</span></a></li>
        <li><a href="#id0x4cae500"><span class="menulevel2">No capacitación de los obreros vinculados a la actividad del riego</span></a></li>
        <li><a href="#id0x4caed00"><span class="menulevel2">Análisis que se ajustan a las condiciones de la CPA</span></a></li>
        <li><a href="#id0x4def100"><span class="menulevel2">Principales fortalezas para la implementación de un SAR en la CPA</span></a></li>
        <li><a href="#id0x4defc00"><span class="menulevel2">Principales debilidades para la implementación de un SAR en la CPA</span></a></li>
        <li><a href="#id0x5a7cb00"><span class="menulevel2">Oportunidades que brinda el entorno</span></a></li>
        <li><a href="#id0x5a7da00"><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="id0x355700"><!-- named anchor --></a>
      <h3>INTRODUCTION</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <p>Agriculture
        is closely related to water security, it is the one that uses the 
        largest volume of water, so it depends on the availability of 
        appropriate and sustainable water resources to produce food.</p>
      <p>Worldwide,
        this sector uses 70% of the total available water, and in many 
        developing countries the figure is 85 to 95%, with the inconvenience 
        that irrigation water is extracted faster than it is replenished 
        (Zetina, 2002, cited by <span class="tooltip"><a href="#B3">Castañeda <i>et al.</i>, 2008</a><span class="tooltip-content">CASTAÑEDA,
        M.T.; FRANCO, M.S.; GONZÁLEZ, E.C.; ESPINOZA, O.A.: “Evolución y uso 
        del agua de riego en los sistemas campesinos de producción de leche del 
        noroeste del Estado de México”, <i>Economía, sociedad y territorio</i>, 8(28): 1033-1058, 2008, ISSN: 1405-8421.</span></span>).
        Hence, the importance of proper irrigation management to optimize the 
        use of this increasingly valuable resource in agricultural production 
        systems, since it makes it possible in many cases to plant and harvest 
        all year round.</p>
      <p>In this regard, <span class="tooltip"><a href="#B3">Castañeda <i>et al.</i> (2008)</a><span class="tooltip-content">CASTAÑEDA,
        M.T.; FRANCO, M.S.; GONZÁLEZ, E.C.; ESPINOZA, O.A.: “Evolución y uso 
        del agua de riego en los sistemas campesinos de producción de leche del 
        noroeste del Estado de México”, <i>Economía, sociedad y territorio</i>, 8(28): 1033-1058, 2008, ISSN: 1405-8421.</span></span> states that "food production, as considered by the Food and Agriculture
        Organization of the United Nations (FAO), depends on the availability 
        of appropriate and sustainable water resources, given that irrigation 
        water increases the yields of all crops between 100 and 400%”; 
        performance, which is affected by the diversity of situations that arise
        in agriculture with aspects related to the availability of water, the 
        existence of reservoir infrastructures, adequate or not suitable piping,
        the variable conditions of the areas, the agriculture environment and 
        irrigation management, which influence the efficiency and irrigation 
        management itself.</p>
      <p>Another influential element is the current 
        climate change scenario in which a reduction in rainfall and an increase
        in the water demand of crops is forecast as a result of the increase in
        temperature.</p>
      <p>On the other hand, <span class="tooltip"><a href="#B8">Fevrier <i>et al.</i> (2015)</a><span class="tooltip-content">FEVRIER,
        S.; SOLÓRZANO, L.D.; POMAREDA, C.; MONTENEGRO, D.: “Innovación y 
        gestión del agua para el desarrollo sostenible en la agricultura”, <i>[en línea]</i>, En: <i>Junta Interamericana de Agricultura (JIA). México</i>,
        San José: C.R., p. 104, documento para ser presentado por la Dirección 
        General del IICA ante la Junta Interamericana de Agricultura (JIA). 
        México, 2015, ISBN: 978-92-9248-581-8, <i>Disponible en:</i> <a href="https://www.redinnovagro.in/pdfs/gestion_del_agua.pdf" target="xrefwindow">https://www.redinnovagro.in/pdfs/gestion_del_agua.pdf</a>.</span></span> refers that the levels of knowledge about water management and the 
        economic conditions of the producers are also determining factors of the
        technologies used for irrigation and drainage, as well as for the 
        adequate management of water on the farm and that the demands in terms 
        of requirements during the crop cycle, availability and quality of water
        are also different.</p>
      <p>Taking into account the above, research to 
        make efficient use of irrigation water is a priority at the 
        international level; hence, <span class="tooltip"><a href="#B9">Guiñazú (2017)</a><span class="tooltip-content">GUIÑAZÚ,
        M.M.S.: “Estudio de caso sobre gestión comunitaria del agua de riego en
        parajes lote G y el 15, Municipio Contralmirante Cordero, Río Negro, 
        Argentina Cuyonomics”, <i>Investigaciones en Economía Regional</i>, 1(2): 111, 2017, <i>Disponible en:</i> <a href="https://revistas.uncu.edu.ar/ojs/index.php/cuyonomics/article/view/1338/860" target="xrefwindow">https://revistas.uncu.edu.ar/ojs/index.php/cuyonomics/article/view/1338/860</a>.</span></span> studied the community management of irrigation water in areas of Contralmirante Cordero Río Negro, Argentina. <span class="tooltip"><a href="#B14">Pérez &amp; Sabatier (2015)</a><span class="tooltip-content">PÉREZ,
        L.R.; SABATIER, C.Y.: “El cambio del módulo de aspersión en pivotes 
        según criterios económicos: aplicación a dos cultivos”, <i>Revista Ciencias Técnicas Agropecuarias</i>, 24(4): 25-30, 2015, ISSN: 1010-2760, e-ISSN: 2071-0054, <i>Disponible en:</i> <a href="https://www.redalyc.org/articulo.oa?id=93241002004" target="xrefwindow">https://www.redalyc.org/articulo.oa?id=93241002004</a>.</span></span> propose the change of the sprinkler module in pivots according to economic criteria and apply it to two crops. <span class="tooltip"><a href="#B11">Martínez (2015)</a><span class="tooltip-content">MARTÍNEZ, A.B.: <i>Plan
        de medidas para la disminución del consumo energético de la actividad 
        de riego con máquinas de pivote central eléctricas de la UBPC-3 “Jesús 
        Menéndez” en la Empresa Agropecuaria “Valle del Yabú”</i>, <i>[en línea]</i>,
        Universidd Central de las Villas «Marta Abreu», Tesis en opción al 
        título académico de máster en Ingeniería, Santa Clara, Villa Clara, 
        Cuba, publisher: Universidad Central´´ Marta Abreu´´ de Las Villas, 
        2015, <i>Disponible en:</i> <a href="http://dspace.uclv.edu.cu:8089/handle/123456789/2585" target="xrefwindow">http://dspace.uclv.edu.cu:8089/handle/123456789/2585</a>.</span></span> proposes a plan of measures to reduce the energy consumption of the 
        irrigation activity with electric central pivot machines of the UBPC 3 
        "Jesús Menéndez" in the Valle del Yabú Agricultural Company. <span class="tooltip"><a href="#B7">Cisneros <i>et al.</i> (2015)</a><span class="tooltip-content">CISNEROS,
        Z.E.; REY, G.R.; MARTÍNEZ, V.R.; LÓPEZ, S.T.; GONZÁLEZ, R.F.: 
        “Evapotranspiración y coeficientes de cultivo para el cafeto en la 
        provincia de Pinar del Río”, <i>Revista Ciencias Técnicas Agropecuarias</i>, 24(2): 23-30, 2015, ISSN: 1010-2760, e-ISSN: 2071-0054.</span></span> determine evapotranspiration and crop coefficients for coffee in the province of Pinar del Río, <span class="tooltip"><a href="#B16">Sifuentes <i>et al.</i> (2016)</a><span class="tooltip-content">SIFUENTES,
        E.; MACÍAS, J.; OJEDA, W.; GONZÁLEZ, V.M.; SALINAS, D.A.; QUINTANA, 
        J.G.: “Gestión del riego enfocada a variabilidad climática en el cultivo
        de papa: aplicación al Distrito de Riego 075, Río Fuerte, Sinaloa, 
        México”, <i>Tecnología y ciencias del agua</i>, 7(2): 149-168, 2016, ISSN: 2007-2422.</span></span> work on irrigation management focused on climatic variability in potato
        cultivation in the application to Irrigation District 075, Río Fuerte, 
        Sinaloa, Mexico. <span class="tooltip"><a href="#B19">Zelmer <i>et al.</i> (2018)</a><span class="tooltip-content">ZELMER, H.; LUI, E.N.; MARTINEZ, R.S.: <i>Los
        indicadores de desempeño como aporte a la gestión del riego: estudio de
        caso en el canal secundario VII del Valle Inferior del río Negro</i>, <i>[en línea]</i>, Inst. El Canal Secundario VII Del Valle Inferior Del Río Negro, Argentina, 2018, <i>Disponible en:</i> <a href="http://hdl.handle.net/20.500.12123/4061" target="xrefwindow">http://hdl.handle.net/20.500.12123/4061</a>.</span></span> analyze performance indicators as a contribution to irrigation management, <span class="tooltip"><a href="#B1">Altamirano <i>et al.</i> (2019)</a><span class="tooltip-content">ALTAMIRANO,
        A.A.; VALDEZ, T.B.; VALDEZ, L.C.; LEÓN, B.J.I.; BETANCOURT, L.M.; 
        OSUNA, E.T.: “Evaluación del desempeño de los distritos de riego en 
        México mediante análisis de eficiencia técnica”, <i>Tecnología y ciencias del agua</i>, 10(1): 85-121, 2019, ISSN: 2007-2422, DOI: <a href="https://doi.org/10.24850/j-tyca-2019-01-04" target="xrefwindow">https://doi.org/10.24850/j-tyca-2019-01-04</a>.</span></span> evaluated the performance of irrigation districts in Mexico through technical efficiency analysis. <span class="tooltip"><a href="#B10">Lima <i>et al.</i> (2019</a><span class="tooltip-content">LIMA,
        F.A.; CÓRCOLES, J.I.; TARJUELO, J.M.; MARTÍNEZ, R.A.: “Collective 
        irrigation network analysis considering plots irrigation scheduling”, <i>Ingeniería del agua</i>, 23(2): 77-87, 2019, <i>Disponible en:</i> <a href="https://doi.org/10.4995/Ia.2019.95" target="xrefwindow">https://doi.org/10.4995/Ia.2019.95</a>.</span></span> use simulation tools to analyze the behavior of a collective irrigation
        network considering the plot irrigation schedule in Castilla-La Mancha,
        Spain.</p>
      <p>Another field that has been scientifically addressed in 
        many countries is the influence of advisory services to irrigators as a 
        way to achieve adequate irrigation management. In this sense, <span class="tooltip"><a href="#B12">Naroua (2015)</a><span class="tooltip-content">NAROUA, I.: <i>Evaluación del uso y de productividad del agua de la Comunidad de Regantes “Río Adaja”</i>, <i>[en línea]</i>, E.T.S.I. Agrónomos (UPM) [antigua denominación], Thesis (Doctoral), España, publisher: Agronomos, 2015, <i>Disponible en:</i> <a href="https://oa.upm.es/35511/" target="xrefwindow">https://oa.upm.es/35511/</a>.</span></span> evaluates the use and productivity of water in an irrigation community in Spain, <span class="tooltip"><a href="#B18">Silva do Nascimento <i>et al.</i> (2016)</a><span class="tooltip-content">SILVA
        DO NASCIMENTO, A.K.; LIMA, F.A.; ROMERO, A.M.; PARDO, J.J.; PADILLA, 
        A.D.; TARJUELO, M.B.J.M.; NAVARRO, A.M.: “Respuesta del cultivo de la 
        cebolla bajo riego deficitario optimizado utilizando recomendaciones del
        asesoramiento en el riego”, <i>Tierras de Castilla y León: Agricultura</i>, (247): 10-18, 2016, ISSN: 1889-0776.</span></span> studied the response of the onion crop under optimized deficit 
        irrigation using irrigation advice recommendations and the influence of 
        corn irrigation advice. Also in 2017, these authors make assessments 
        about the importance of irrigation advisory services (IAS) to achieve 
        efficient use of irrigation water. <span class="tooltip"><a href="#B13">Olmedo <i>et al.</i> (2017)</a><span class="tooltip-content">OLMEDO,
        V.V.M.; CAMACHO, P.E.; RODRÍGUEZ, D.J.A.; MINJARES, L.J.L.; HERNÁNDEZ, 
        H.M.L.: “Determinación de indicadores de gestión en los módulos del 
        Distrito de Riego No. 041, Río Yaqui (Sonora, México)”, <i>Revista de la Facultad de Ciencias Agrarias. Universidad Nacional de Cuyo</i>, 49(2): 149-168, 2017, ISSN: 1853-8665, e-ISSN: 0370-4661, <i>Disponible en:</i> <a href="https://www.redalyc.org/articulo.oa?id=382853527011" target="xrefwindow">https://www.redalyc.org/articulo.oa?id=382853527011</a>.</span></span> determined management indicators in the modules of the irrigation district in Mexico, <span class="tooltip"><a href="#B17">Silva do Nascimento (2018)</a><span class="tooltip-content">SILVA DO NASCIMENTO, A.K.: <i>Viabilidad
        técnica y económica de los servicios de asesoramiento al regante (SAR),
        así como su repercusión socioeconómica y medioambiental. Aplicación a 
        un caso en España</i>, <i>[en línea]</i>, Inst. Universidad de Castilla-La Mancha, España, publisher: Universidad de Castilla-La Mancha, 2018, <i>Disponible en:</i> <a href="http://hdl.handle.net/10578/18475" target="xrefwindow">http://hdl.handle.net/10578/18475</a>.</span></span> evaluated the technical and economic feasibility of irrigation advisory
        services and their socioeconomic and environmental impact in Albacete, 
        Spain.</p>
      <p>In the world, there are several reports on the creation and
        development of Irrigation Advisory Services (IAS) which have been 
        showing great strength, since the volume of water per irrigation unit is
        more limited and leads to a rational and efficient use of water.</p>
      <p>In
        Cuba, there are very few works carried out about the system of advice 
        to the irrigator, although all the works on the subject of irrigation 
        have the purpose of reaching the irrigator. In that sense, <span class="tooltip"><a href="#B5">Cisneros <i>et al.</i> (2006</a><span class="tooltip-content">CISNEROS, Z.E.; GONZÁLEZ, B.P.; SOLANO, O.O.: “Servicio de asesoramiento al riego una necesidad del futuro”, <i>Revista Ciencias Técnicas Agropecuarias</i>, 15(4): 48-53, 2006, ISSN: 1010-2760, e-ISSN: 2071-0054.</span></span>; <span class="tooltip"><a href="#B4">2007</a><span class="tooltip-content">CISNEROS,
        E.; GONZÁLEZ, P.; SOLANO, O.; PLACERES, Z.; LAMBERT, M.: “El servicio 
        de asesoramiento al regante una alternativa para mitigar los efectos 
        negativos de la sequía”, <i>Revista Ciencias Técnicas Agropecuarias</i>, 16(1): 37-40, 2007, ISSN: 1010-2760, e-ISSN: 2071-0054.</span></span>; <span class="tooltip"><a href="#B6">2011</a><span class="tooltip-content">CISNEROS,
        Z.E.; LÓPEZ, S.T.; LEYVA, L.A.; PLACERES, M.Z.: “Consideraciones sobre 
        el servicio de asesoramiento al regante para las condiciones de Cuba”, <i>Revista Ciencias Técnicas Agropecuarias</i>, 20(3): 41-45, 2011, ISSN: 1010-2760, e-ISSN: 2071-0054.</span></span>; <span class="tooltip"><a href="#B6">2011</a><span class="tooltip-content">CISNEROS,
        Z.E.; LÓPEZ, S.T.; LEYVA, L.A.; PLACERES, M.Z.: “Consideraciones sobre 
        el servicio de asesoramiento al regante para las condiciones de Cuba”, <i>Revista Ciencias Técnicas Agropecuarias</i>, 20(3): 41-45, 2011, ISSN: 1010-2760, e-ISSN: 2071-0054.</span></span>; <span class="tooltip"><a href="#B7">2015)</a><span class="tooltip-content">CISNEROS,
        Z.E.; REY, G.R.; MARTÍNEZ, V.R.; LÓPEZ, S.T.; GONZÁLEZ, R.F.: 
        “Evapotranspiración y coeficientes de cultivo para el cafeto en la 
        provincia de Pinar del Río”, <i>Revista Ciencias Técnicas Agropecuarias</i>, 24(2): 23-30, 2015, ISSN: 1010-2760, e-ISSN: 2071-0054.</span></span> provide some considerations on the advisory service to the irrigator 
        for the conditions of Cuba and as a need for the future, in addition, 
        they propose the advisory service to the irrigator as an alternative to 
        mitigate the negative effects of drought. <span class="tooltip"><a href="#B2">Bonet <i>et al.</i> (2018)</a><span class="tooltip-content">BONET, P.C.; GUERRERO, P.; DUARTE, C.; RAMOS, S.; RODRÍGUEZ, P.W.; RODRÍGUEZ, D.; HERNÁNDEZ, J.; LA ROSA, Y.: <i>Tecnología
        de asesoramiento al regante como parte del enfrentamiento al cambio 
        climático en áreas pecuarias de la Provincia Camagüey, Cuba</i>, Inst. Instituto de Investigaciones de Ingeniería Agrícola (IAgric), Informe técnico, Camagüey, Cuba, 2018.</span></span> evaluate a technology for advising the irrigator as part of the 
        confrontation with climate change in livestock areas of the Camagüey 
        Province, aimed only at training and education.</p>
      <p>However, it is 
        necessary to have a vision of the problems that today hinder the 
        introduction of an irrigation advisory service (IAS)in the province of 
        Mayabeque, taking into account that with the development achieved in 
        computerization there is a need to give a technological leap in terms of
        ASR so that the farmer is provided with the necessary information to 
        achieve a more efficient management of irrigation facilities, as well as
        data on the water needs of their crops. That is why the objective of 
        the work is to evaluate the current advisory service to the irrigator 
        that is provided.</p>
    </article>
    <article class="section"><a id="id0xde9280"><!-- named anchor --></a>
      <h3>MATERIALS AND METHODS</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <p>For the development of the work, the “Amistad Cubano-Búlgara” Agricultural Production Cooperative was selected (<span class="tooltip"><a href="#f1">Figure 1</a></span>),
        located in Güines Municipality, Mayabeque Province, which limits to the
        north with the CCS "Miguel Camacho", to the south with the APC 
        "Restituto Alonso", to the east with the town of Güines and to the west 
        with the UBPC “Sierra Maestra”, located at the geographic coordinates: 
        22°50`49.99” N, 82°04`08.11”W, 22°47`54.35” N, 82°01`51 .24” W according
        to the North Cuba coordinate system and Lambert Conformal Conic 
        projection (PCCL).</p>
      <p>It has an automated agrometeorological station.</p>
      <div id="f1" class="fig">
        <div class="zoom">
          <svg xml:space="preserve" enable-background="new 0 0 500 288.035" viewBox="0 0 500 288.035" height="288.035px" width="500px" y="0px" x="0px"  version="1.1">
            <image transform="matrix(0.7386 0 0 0.7386 0 0)" 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LPUb2C3vlTV0IYmLD47GvOtU0G1N3FdW7hjIS0nPQ1%20t+HdVkltLu1c/L5ZwD2rKhQx27kMWDNxmoitTWWqI44hGNseKkCHHPWhAQKe+Qua0M0iNThuaVgN%20pJFIw703zN3FMqwfxDcB04pQiStlx27U185H0pUyo96CbDzbYHyk1G3mKBgA49qnWUDr1pxIPSpE%20Z0wWSaN3jwV4OB1p0NtFFIZI3wSOhNXiivjI71HPbpIPl+Uj0p3EUZplckAhtvXFC+Wq7ttYOsQX%20OnXrTwOWjfqCao22s3boyuOhqrXA7CIKsm9c1OJw8g5xjPNY0GsxJCRIVG1eacl/FNCHjblqloam%20acLS7X3nJ3cfSnIvzEntVS3ucAhmyewzViObe7ds8UrGiaYm5vN4HFSOxUjbQG2x8c0yOYbW3fhS%20YiVpVYhSM1x/xHlzokEfpcj/ANBauqDgNjHVeK4/4gHfokLd/tIB/wC+WojuKWx9e/Dj/klnhT/s%20C2f/AKISij4cf8ks8Kf9gWz/APRCUVsZHiP7XP8AzKP/AG+/+0K7LS7w2oDbiOORmuN/a5/5lH/t%209/8AaFdVcWFzag+YpxnGRXdhEnzJ+RzV76WOustaDwZY8irKa3FuAY9a4JLmRFIzgU4XDu33u1dT%20w6Mfanoo1NOCrZFMl1fy1wzcfzrjrC8kK4cnB6Vaumf5DuyAKydHU09poXrsWt1uCqqFhzsGK4/W%20dJMWJbeQjkjBNbhilWMSKc5qpqEgwAecCtqUeVmU5XRzUOpX1gjeennKeFEY5H1q9BrscuA4MRPG%20HqJuCcdCaj8qJmG5FPPXFdTp3MVOxvxSQ3Cjy5FJx2NSLabpACOM1kWtpDITmV4wMfdOOlWg9/aA%20mGSORQD945OSf8K5JQaZupJovXFkqZ7Vk3MpgfaOfen3GuFgfMjdc8cis6a6jlcfOPzranDuZzl2%20N6x1ox27Ix7cVSudTkl3Lnis1WB+6c0HJ61sqUUZObtYaeWJPrTcU+j+dboyGbaNvNSrGzsAoLH0%20FDRlW2kEH0NK6vYCILRt4qXA/EU6OJppFjQEsxwAO9DdlcNW9CvtphWuofwXqSQwuyj94cYA6Z9a%20ydV0mfSrxrecZI6Ed6zjVjJ2Rbg0rszAtGPWpNuKTbWxBHtpMVIRSYpgMxS4/Sn4zSYpANJLUmOl%20PxRjigBoFOVcsAOtLt61NAv79Djo3NRN2i2VHV2PTPANhAuhfaUAMjHDHuDXRhgjbQua5r4YXBk8%20P3aH+G9kA/OuxFuo+Y9a+dlUcpNs9ZRsrBFIZRyMYqpIPLZg1TGURtj3pTsn4PWo21GZXlMzsUHB%20Oc1RuLYqxJrpAiIpAxWPqAxGcVSYrGGTiYL2B5rahuIYIFkABOM1jbPmJqwhVITu544FWI8i/aKm%20M3gWyZuv9qJ/6Klrz74OqWXWcf8ATD/2pXoH7QxB+H9jgf8AMUj/APRUteffByTy/wC2c9/I/wDa%20lc9U2p7nqwPlwoD1NThv3J+lQNIsiJ/sjrStKFtyx54rmudRhzczEnrk1XL5kOannZdxI61WCZJI%20pmb3Ec+lOzhBSiBmJwOlOMDcfrVXIIySelOVGIqXZGi/MwFKZ40zg9KoRHHERnNTxwAtzVKXU0Vs%20LyagbWgjbO56UDTsbX2dI+pFVridUUrGcE96x5tYkboCe1QzXkkiFRwSOtKwuYLibzboohyVHJqw%20lmRGCOtVLJMzfMPmPU11VraGVBtXNIlLmZkx2JyDjrVpNPLdFrZe08qPnrToPlPNIvkMoWTIBkU9%20bBiyhxxWrcCMY+bmmTyr5AI5IpFWsY1ggg1ya2HG+I0zYEtlT+7xVmFBLrscg++6kVDcDYSp7f40%20Lcd9CJV4pHBPFAb0pruSasLaDWNEajNKANtOFMCOT72aYpy4xUj5HXpTU2q1ACsBu4qSLnNNyN2K%20epKYxUEj8YpCuenFSoA5z+lSRxsX2Bc5pDSMjVrMTWrgrnjiuKFs8isFO1t2MV6PeHarFhwoOa5S%20W0WGMXTDG7rWiYmjnrzTZRG25z6n3q9bWjppXmLkEHAFTTzRIqO3KE1s6LY3Go6lDCkZMOM02zOK%201MCVbm1uBcGRgCvANX4tYKoMjJYZzVrxLZm+s2NsuPIkKEisaSB7a3UK2G2ce5oQ3dHQQXX7sOXw%20CM4NTeYm3c+NvrXLYuJdLbLESDoao3d9qJt1tlJHI+ajluClc7hyHkXHAUYzXKePYTF4dhOc7rsH%20/wAdateG5kSxiWcEvtGTWL46fd4bt+c/6Sv/AKA1SlqNs+v/AIcf8ks8Kf8AYFs//RCUUfDj/kln%20hT/sC2f/AKISitCTxH9rn/mUf+33/wBoV7Hqtj5kWABXjn7XP/Mo/wDb7/7Qr1m+1Yb+WHvzXRQv%20fQzqNWMO80NygMYANZEts1u3zdq6z+00lIQGsfUtm2QZyx6V6cJy6nFOK6GclyAuOlWoL0btsnOe%20may2Uq1JvxW/JcxU7G8k/wB8KeFHSsW7l3ysexp63JAyDg4596gl5bPrRGNmEpXRXIzTCmOlTFQa%20aV5rcxuMVmVuOKlW6kBOD1pm2mlPTipcV1GpMSQmT7/zd+arSWkb9Btb2q1gjIpCOafKgcrmedPY%20FfLnfjJ69aVlvo93l+W2OmTV7aMcUuDzxVWFdFOG73nbJGyuOpxxmp0kSQ4VgTnpnmrMVu07YRc/%200rotB8DW+rpI0srwSDIyg6ZHWsKlVQV2aQg5OxN4I0Zrq9aeaLMaj+IdateI/C0txroFpFtjZOcD%20pXW2GnXGkxLFCquiqFyTywA6/WrBv3jI+0QYbHJUZrypYqXPzI71Qio2Z5xofhiS91iS1ukZVjU5%20bFdTofgmGxvRdTneUfKKfSuhtriyLF0wkjno3BNXUkjk+46t/unNRUxU5Dp0FEGUFcEdBXEeJNG/%20tfUGx8qxJkn1Ndu5whJ6YrFeRfOZsA9qmhJxdyqsU0eOzweTcPGf4SRUJWvQLvwT9pW4ukcjcSyC%20uHubd7eZo5RhlNe5SrRqaI8ypBx3Ku00YqXGKQL61sZDCKTFSlemKNtMCPbRipNtJt/nQMEXLjNX%20IkVWTA5ZqqgYORV6CZQ65UE9Kwq/CzWn8SOw+GcoWxvkU8fbZDXfPIBHx1rzP4dPst73B5+1v/Ou%206luCAea+faPVb1GXMhBJzVeO82dTVS7uwCeay5b7HenYVzdm1PsDWbc3+87Sax5L7rzVZrvPOaai%20BqCYZ5pTODishrv3qNrvHQ07COE/aClD+ArID/oJxn/yFLXn3wiAK6wD1/cY/wDIldd8cZ/N8F2i%205zjUE/8ARclcn8IMD+2Ce3kn/wBGVhVNqZ6RHcm2mWN+Qxq9f3ENvaqzkBTWJqE4jj8z+Lt7VSv7%20iS50FJHP3Xwa5kjdSJ5NWtDg8E1Wl12NVAiSqAsSYhIPuAVCluwUlsdeKvlM5OzLba1OX5G0fSl/%20tEyDl8VTa2dxwDUyWRcDIwR2osTca10zPwxNMNxMwOTgE1eWwUfe6mpUtI1GCM88UwsZyqzHn060%209LYk7tuTWjIqRfKF6VCZgOBgUxEP2Mum08EmpVsBwG/hpouOvNKLonoelAy7bWqgg45Brod/2eBf%20LIBIrmbKZmnUE8da3HfzI0bn0qGXFD2neX7xpY1BPJNCxk9KniRdwyRSNbDZFXYAASacsQeEginS%20siNg0q3Eaxj60hcpk2kDJ4itpD0BK4qtqEm2WQHqHI/WtRZA2sW7DjEgxWTqSE38yf7Z/nTW4NWR%20WRiTTmHzcUKnOKXYVbmrRIijAp5OKNtDL+tMY1yG21EEyx9qmOAQPSmqP3hNADVB3c1OflFDKFAx%20TkIY81BI+3BD5rctI0UByMkisaL5X4rasUZhk9AKRSMvXYwtlMVHLDFZFzZB9P8AKK5yuBW9rOPs%20p3dM1ki5Vovm7UXEzhb638iSG0l++CSPYV3XgzWJrVpokiDQtGcNjkYHrWVfaXFdXcV03JB5rX8N%20WjxXU8RGI2R8e3FU2JR1KRtrqwig8yMvHqDlwcds1ztxbSrrEizcIjkKPavS/EVwk+kaXbWiDfao%20oJxXDatZXN1qMrn5A3pRzCaM8xrhcH5Qc49as2WnQ3Vx58ycjoKlttM2Qjecla044hHGGGATxinc%20UYg9nC8YGMccVxvxAt/J0OHH3ftKgf8AfDV2kisgH0rkviLG6+HbcsODdLj/AL4en1CUT61+HH/J%20LPCn/YFs/wD0QlFHw4/5JZ4U/wCwLZ/+iEoqyDxH9rn/AJlH/t9/9oV1Mt08nLVy37XP/Mo/9vv/%20ALQroiPWvRwKT5vl+pyYmTVh6zuj7geakkkM3zE896rnrT4+4HevSaOHmYw5NMK9KvLb/LkjjFQP%20GFHFNSE0QYpPrUrJmk2Z96skiC+vrTniZOcZB71Zhs2kUmtOC1RrbEoyB2qHOxag2c+RnpSEVcur%20Xy5CY/u5quVI61aldENWZFikKVLjuOtG09/yqiCIITwtSNCyShGU7j0p0fySAn1roYlgnkinkUcY%20B96zqS5TSEVIu6PoLJbI7L95ck11WgWwiV3AwT+tV451a3iWHhSMcVo6ZE8CsD0PIryK1RyTuelT%20gol55AvBqo94u7acEUl5IQfQ1j3Ky7iyDiuWK0NZGqIbS5cSGJfNjUhX/ug02xsorPzBFIfmz+tY%200V3Ijckj1q0NRUYGapxDmZbkgu7SElblp1A6NxXNzaxJBNi5Qp8x6c5HrW9PeZj4bjFc9qEqucEA%201cFYmTub8GuWp0o/vACq5OeMCvOPEE8V1qjywkYI5ArXuPs72c0TJ/rhh+eorlrrTyrOYJCm5Qo9%20iK7cMuSVzlr+8hm31puM9qZ5dyjdd4yMf1pfNkUMXjxhsCvTucNiULtXkUrKDTVu4nCrkhs4PHSn%20rtboQR9aExtEe3mlAx2p+2n7T269qdySLFSxLmRcdzRsx9adGMMP0rOprBmlO/Mjo/h2oWxvmbr9%20sk/nXU3lxtXrXA+DNU8iC9iP/P05ro5byS5JCLx614Si7HqOWpFd3XJOayp7rrzTrky5OVrMkkOS%20DXRGk5bGcp2JHuT61F9q4qFjnNNKZ4qnRaJ9oiY3WaQ3GepxUSwNtZm4VRk1zuq3sh2yQOQithfe%20uWo1HQ2jqcz8X79Ljw3BCg+5fKc/8AesX4Svt/tfsD5P/s9W/iZ5J8K2bRPuZrsFvrtfP9KyPhvN%205VvqwHVvJ/8AZ65p6o2hodnfXBnuCgOBnpV+2jW40m4t8ZAGRWXbxeYzPIOegNa+lART+Vn5ZFxW%20SLi9TMhnzbm3B+71p6qvHsagltzBq0pU8NyRU6AN0qrhLcuIeBhRTH4cmnodsI9aZIHbGBQCQbi1%20OHJGfWlSF+4qQQnr6UDKN07+e+3OKqkOc7uKlupZNzBeOapnzn6uRSIuP27T87gfjQJYkz82fpVc%20Wu9v3hLVLHbIv3VxTC5oafcxm7XAPTHSts+YFOzO3NYNkoSdTW1JqSxQFO9JlRkWYzKVyWNPjJDj%20J71lnWPk2gYqu2qOp4qbF8x0tzs8sc84qozBV+9x9awpdRnkHBOKj+1ysmCTmiwcxrG5B1K1I4Al%20Wk1f93qlyf8AbNZ0EuZIiw5WQGtPWwP7Slz/ABNn9KXUpu6KMb/NmpHfJ4piqCOKfwKtCQFiKTeT%20SOSTxQvHWmMGJ3inAgsBQBuOab/y1oAmxleabj0oJ+X8aVV3AY71AiSFvmBPSugtJwbcbetc4uQc%20ehxWjauUXrxSGWdQRJUMbHtmuduLPYwweCa0p5y0mSc81Dc4dQQKAM13kiXbs3DtXRaChnm44Zo2%20z+VZJwVAA5rV8PziHUJCeAIWP6U2Nbhq8yWEYTjfiuelnedsmnajM95eM0jZGeKAFVfbFFgY1FJN%20TRKu9Q5PFT21vtUSy/dJ4FTebZbj8oz1FIWhXCebJtNcv8VHX/hGbSNRyt0uT/wB67vT1trhywAy%20DzXF/F1IE8O2/lff+2Jn6bHpq/MEtj6h+HH/ACSzwp/2BbP/ANEJRR8OP+SWeFP+wLZ/+iEorYwP%20Ef2uf+ZR/wC33/2hXWxWE0zMqLllzuHpiuS/a5/5lH/t9/8AaFdL4C1V9R8aatFI4EYVmAPftXRR%20rOk7dzGrDnsKV5560nRuKv6hbfZ7h+OM5rBOpQDUPIVtxAYk+lepKvGEbs8/2cm7Gn5j4wDTDzWN%20beI4p7ry/KwC2wHPU1vSQPGB5qlCRkD1FOlWhPYUqcluQgUqnBNETGSPJXHfFOI6Y5rdNMy1J4rv%20yuAKc967AgcZqsR/n0pMHvS5blczJVk3IQ1V5AGYkdKeFz04pTC+OlPYTuyvjFGMjj8K0rCxjumd%20JeBtIFQabp7Xa3KIebeQx49cUnVSdmCptlRV+YA9a0cGC3XBzzV2Pw3K1vv3Yb0xUVzby28Wxk+7%201NZyqRbsaRhJI1fDuoGSYK3QDiu5s2BUmvPdGjUBXXgg5NdlbXRCjB6152Iir6HZRempo3ESu2TV%20SVFOQuM06e5AjyDWRcXjbztPWuZRZu2RXMLbjjpVIqAeTjFXUuS3Dc1TuonbJUVZJFNdbR96se6u%20yWyDTroSqTwazJixJGDVpCeokt2c/NUHmrItRSBj1FNjibfXXSTUjnqWsSlB0FJtz2yPSpY0w43e%20takdlFLCXA5ArslPlRyQjzGNLboQpx3yKp/2fHGirbkphieufqK6O6sQ0G+MYKiqEMIZiGojNWKl%20F3Kkek3ssTvETjqOKTyLtFdvL3bcAe9dhb3cEVqsYxwMVVlML5VMDNYOs72NfZqxy3muJGWaMoqj%20O6pIJ4ZArhsqx+U4rVu7UE5Qbh34qkLZPNUuPunIA4q5TTpshRamiPweiP8AbPMIybtyPpmu7ghj%20UcY6V5x4Vi4vnjYhzdOAc+9dWmqyW4CXKn5RjzP71ecvhR3ytzM07mCMsRxiuVvLbypnxzk8Vttq%20AmHyHOelQ/ZfOUtL+Fa0qjg9TKpDmRgbTnpW/pmhie1Mz9ccVWnso4iuDkHrW/p9wIrMAEY9K1rV%20dNDKnTs9TPuvDjXmlS20b+U74y2O1eeeJ4oFshY2K7GtQ24n+L3r1W61aKG2dsgFVOB615F4l1ey%201hWkZhBcLjK+teXUd3qdiVjzTxzKreH7ZIxwLhSTnvsaq/w7Uu2oKO/lf+zU/wAbDOjxODlTcDH/%20AHy3+FP+GgG7Uj3HlY/8frH7JeyO4KbUwOMVNbv5dxE57Goj945qfysQhqzKiR6pAY9VlcH5ZFDD%202qmjbQMVr6zGPstrP3kTafwrF3ABR+dVEqRsWyhlUt3qcjHGO9UIpsRgD0qZJstyaLlLYsvIqrVZ%20rlR0NVpJGLtmmKpai4mRzfNITUWB2qw8DsTgUosyMZ70jOxXRB1p2wVY+zrGDuPanwJEbYzPwucD%203oTDlIo0xKpUUt1HiQ570/7Qi/cXntULs8kgY1QyMIN5zUjqipuYVKlrukRnPUVoC0heMbqm5SRz%20897HDtG3lqh/tDZGzbDkVs3el28zLt6qajNhEPlO2mmOxkpqcsksapGf9YrE10+suX1BuP4V/lVG%20O1iRgVVRyO1aetrt1DPZoVP6UnuaGdEdvWnY+ao15IqbHeqEhCuOlBU0uQOKcPu0xiKe3em4+bmm%20uSsynsadKPmXFAA0gC471JDIcr9KhK8k+1IzsrIV4AHNKwi3nc273q2hxHzVSM7gMVYLYwKVhkMp%20APFIp8xCh4x0ouOMVASxIP50rASsuzin2cnl/anHaFhSZWWLryKW2QmG87YjoYGT945PWrtra/aG%20GTxnmqpibcAOnr61radbTJC7FSSRxin0E2NuG8xto4VRxVCaHClV+/ir0lvM0beUhJB59qjXTLqZ%20ywRgai4Bp8620i25OJXG6vP/AIj6uL23+yqDiG4Uk++1q9E0/RjN4kBmkAEajdz92uL+KekR2Ojr%20cQgFJL4LvHf5HqovUT2Pq34cf8ks8Kf9gWz/APRCUUfDj/klnhT/ALAtn/6ISitjI8R/a5/5lH/t%209/8AaFYnhLVP7J8RQzmXBmcDr1Gelbf7XP8AzKP/AG+/+0K8rTUZItVgUZUQYzu7VlUTugse5+Jd%20cTzJEMgUEK2O/pXmd5rqwzXsyktiMqCD0NZPiDW5b6/BjkYdCRntgVFaWhu0IncIjh3LHoQATWVS%20cpSsTGNjV8Ba1Hca8ItSP7pvu+xJ6/hXt0epJfaZJYTbTc2SkmUdGXrn+leDm20+ysbW8s5RvyS/%20PT0rcTxVcXaXkkJaOWWEIB6jqa2VV00mhuCkrM6vTtb/ALQ1FU2lIiCFbPBNW7rWoLe8EHmL0O4+%20hxXnlpqD2GjSXm4/u8LFz/Eev6VntqU8sb3Uj529ffNXDGz5TGVBHqia/ZtEW3AbfvDPQ+lXbaZb%20qJZFONwyF9K8GGuTGURlyBuA69eeteg6Lqt0gtJ0kDMxKunqPb8K9OjiJSepy1KNkegKOc4rYtLb%20zQp4IIrMsJEnCzFfk2lsevFaWgSRXzTmGTAU42E8rxXRVq2IpU7k9vYupZ1GKzdPZ9M8ZT28x/cX%20ab4j/tDqPyrp3je3Az0I5rg9c8RRz6pE1myKtjOFldu+eoH4Vxznc6Yqx6PCyNHtB5qvdJFIdj45%20rB1HWG0rT7a5jYN5s6x49Qc1FqGrbbjhvvHgU4RbkTKSSJLwnT70rCflIzVqHW2VUHesmaZp2DOe%20elRjj/PSu32Sa1OV1GnodMNSa5QKmSe9LIzKBuU0eFbVHd2mHPbNb0lulxMQFAUHjiuCpaMrHbC8%20lcxFlWKINIMVBNqis3lqOorT122RLNdgAxXJ3cgXYw4xxVQSeopto1YYPtQkL4BxkViSSIHIZehx%20Wpaz+Zb+YGwRWfcQma4Cxj7xrWmo31M5t20M+VQzcDrUezHNW5rcxNg9utOgspbmQJGpOea61yrU%205G5MqAc5q5BOQuzsasWulPPJIjfKY+D9aimsZIbjygpyeAamcosuCkge5ZcqfSqLEgnFad7pc1lA%20kshzu/Ss/YWPSiCVhzbuMDMO5q/a2jTWxkY4x096ZbW29+RVy5mMEawx8Ac1M3F6IqCdrsqNOqKU%207jrVQ8sWqdYDIxYg+tLPaFYyyEZx0qHZRaKV3JGH4WKLa3nPP2uT+dbbyNL8hGR9KxvBqI1ldmU5%20P2uT+ddUiwIM4zxWFO3Ijed+ZlSPTCy+bC2CozUcl1cRKRMv/Ah0rQa7VY8RjC4qszJIvzcj3pat%20heysUVlM55fjtVhJJFhAB7VTubdM5iYqe3NTW0jiELONx9Vq5r3SI/EYHiia/iSMxnanOc968zmZ%203lkuGHBP5V6T43Mzwq0T4TGSPSvNp87HKEbduAD3Oa8iq3znXHYwfGbbdDiiCnH2lXDfVW4qT4Z/%20e1L/ALZf+z1T8VyXDaRF5mPKaZSvHQhW4q98MRk6mP8Arl/7PT+yV0O+ijD9e1TSuvkgL2pkp8pd%20q9aiVWEOT3qCloXJR9p8PnPLwtkVgsnUd81uaWrSx3ER5DocfWqPlrtBP3hxRE03I4WPl8jpUqqW%20cYpMY+lPRs8ijqMbKvz8UgDdFIqXPUGk2D8TQFiRVYD5j+VAJ385NMWQ421OoyARSFykbxBmw9Jc%20hVsAiqAFNPfOagnbMDr70LcHsVN4CikDnPWoScE4NAO4cetWzE0UclEqzlioIOKoxMBtAOSDzV2N%20hLgdPWoNorQRwRGdh5zUGxm6mrTqAmVPeoz97J6Uy0iMccd81r+IYz51se7WyVkNtB61s6+fnsWP%20/PstT1B7GCFZXxVpeRz2qq0paQ7RVmNDsya0JQDAbJqXjORTdh29KXGKYwIU9e1Qu+TUobqKrtne%20KAHr8y80Ovy4PSmsxyMUpbP3qAJYmxjBqxuyRVNWCtgUpmCuOfpSAmuSGwKbHIoRs/hVOS6BkwTz%20SGQlAIlLH6VNwJnc9UOMU+yvGMMrSKQjYTOOtLYaNe3sq7kKqetdZL4Y3aOlvGAHBBJ9amTKUTmd%20Q12xsIdqRK0gHAYVGnimY2XmR26qE5PHWtC78EtPMssqgtyT71CdGm+2W0AhxFvCuPUZpXHymHB4%20tngjkZ4TulbeBj9K0DruoLpsF0yqiztgeufStjW/Dds+t3DIgiit9uAB3xUvivREsPC+jqPmaQGU%20n0PamiHozkbfVL8ajLOyuDOzKQBxiuc+Iepeb4YtLB5C0kd3vZSenysP612bxXa2sXkqGKMCxJ7G%20uG+IunLY2G6f5ruS7BJ9F2tx/KqitRN6H158OP8AklnhT/sC2f8A6ISij4cf8ks8Kf8AYFs//RCU%20VsYniP7XP/Mo/wDb7/7Qrx+d/LvftD/Ms65Y/iRXsH7XP/Mo/wDb7/7QryO1VLjQLuCXieHBTPUj%20PNZzKRXmlAuF25IKZBPWo59TmaPy1YhVBUAeh61RMjYBJOVAGKYzgMxPrSjHURYF5IFALHaD93tV%20221aU3Hm5xuJLAdBn+lW9H0OHVNLvbhmYfZgjHHYE4NYlwi295IsJJjzlc9xVyhoK+p2Vnm68P3n%20mH91HIhI9CaisIXv/P023Aw4Dbz2xx+XNZuk6gTpmo2TH/Wojgj1U/8A169B+G0mmadbTy36LLdz%20fLgjIUGsaVO8rMc3aJnQ/CwXOm/aLe6V5sEjDcZqK0g/srTbOWdpFuorkI4J45/+tXqiy2fyfZHS%20FYzu2qcA+tcP43ijTUYygDQXaeaCvZlNewowSujz+aUnqdW80n2VrrT1c4h4UdD/APXrM+H+t3Te%20NGVhsWZDujb+96VveEpIpNLjmQlkdcFT2I9Ki8T28EFrHe2MKWtxFKCZYxgnPHJqpxckmKnJRbRv%20eM/FP9k2DlSNz5RR33GvNUkll0lpJQmJbtRIwHU7ST+ldDqs0fiLwxLNKo3hfMDf3WHWuO0/UFk0%20WaFs7orsMV9sda5J3UkbwfMd3K8lzqljC3zWrQ+aFPVWGMU+5jll8RQEYMSRlmBp1tPCmpwwuV3/%20AGZQgHX1NJbySS+K7tCCEhgUD3JOa9CFmtDkqNpluW5WK7htzy8uT+Aq3Em5+SOtYqBD4ljl80M0%20i4SMnlVHU49627jYm/BwAM5+laud00Y8tmi/N4msNDtvMkkCttzjNLa/EjSpVEe7bKRkgnkHGa8P%208fXszZe2eSRJHKqO/HpXMx6heWkiSzKwlIUnI54GK8epO0tT1IL3T6i1DWY5rFZjyrYwPrXD+I/E%20cUUTQxDEi9fcd/xxmuWsvGt1PobgqjG1WJiPboaq6jbtqF3qKiVvMjtftEOD1BHNc9SvZWidsMHK%20aUi3f/EOXT8QW+1lbBB+vP8AKvQNFvft9pBPJIglYAlVP3QRxmvGTpNrc6tYjLYuLTzFH+3jpXR6%20HqT2z6dKkjf6RmGQE8Bl4FKliHF3ZTwMpI9ch0oz30SycoxyxrqItPgtVVokUMoweK8ft/HN9C1t%20cvgKtwbaYdl7A1Yb4ganEJfOxm1uPKlHqjdDW8sZzaErL5Jnpn9nRrezXEbH97zjPANQSxRhssAS%20o615tN421K2FygYH7LKAcn7yHvVK68aajBLdRM2WtSsw5+9Gan60rlrL5M9H1Oc3aqhHyqaozWAj%20RHQZI61wP/Cf3EF81m8ZkBj85GAzxkf0zXcpqpMY+XIK120ajktDzsRRVKTTGC4EUxwBUFxIZpd1%20KPnl3HHJqVoFOWHTPGK6rqL1ONc0lZE5Cx24YenNVSjSo7r0AJqVlLARoc54FTC3khsZ+ONh5/Cu%20ecrRbN4R95IofDnRIb7w7c3LljJ9ulGB9a0722eG4fKYHTgcVmfDPVF0/wANXnmOoVbyQ5Y+9T3v%20jGzupMMMbs9PUVzU6tkkzecdWMkIMWAORUSQSSA7QcAUy3v4bwkwkEe3eultIVNouAuNvJrrjUSV%20zmlC7OYMLFTxx3zUltII2G9cj3rUl2EMqr9cVlbPMnZE6itOZTWpHK47HJ/ENfNiS5iLKoG1lQ8V%205bFdyTzQwbR5SPycc9a9s1e1a5tDGsauc9GHFefJpK6TaancalHGhePbAo65HpXDUopS8jopz0OX%208fWsVv4Ri+z8x/bUwx68xvkfpVf4W4A1Vj28n/2es7xNqE9x4bit5gV23KuQe52sKvfDEFl1RR38%20n/2esJ2todETv1JmJY9OgqeOEyKUXtzRHHjAFadrB5SHPU1m9i0rlLTgYL8KejAj9KzLmB4bp0J7%20k1ps3l6hGT2cCqurfLqJzwW6VFzRaIoj5RzSowBpWXPamLVDJQ240bixAFLEOTn0p8Sjd0oAQjC5%2071PHzGKhcbSwNSxHtUjHbSG9agm2R200knYCtOBEAbd6VnXyKba5VjxtouJpWObb7RLcNJF9w9K0%20bWBktwso5znNSxqsFtHgcNjHvWjhTbSZwGHQVTehCjqUoIwsnThs1Ih2sVB61PbSI8POMrUQ2ebg%20de1QaWsiTa5jIpFiJ61KZh5Z9cVEtwSvAplIhvFZLVmj+8OK2tbIaPTu5+zLmsS9kk+ySBVySOFF%20a9+T9i0534xAAc1PUGtDMVBu6VMG+YAUzd8xxTlYK3PpWl0Z6ji+EP1o3Z5pjSRr1YZNQyXKgYBo%205h2ZYX7+Qajc5eoVnYqcKSafFZXt0f3cbYPtS5hWEeRY1Oeah+0Egn8q37PwfcyYNxlV65NaR0XS%209PXddTpx70uYtI46BbmaVtilvwrUtfDt3dMCykD3rTn8Q6XYbUsYfNJ7isrUPEuqXbKtrtijx/dp%20XFoaaeGrW0Ia8nUEnpVO21zSoNY+xQRiQrIVJ+grDMd1czK93cMxDZwCah0OCFvF1widY4yzZ9cU%2090Tc66XxcYnK28YUc4qoviy9dmy5A7Vz0gLTHHQGpegxS5SfaHQR+K7xVG45Fdh4avo9ZTDRjevU%2015Yk+Jgj9K7XwvcNatmI4LkKv40nE0jM6i5srW8kmi3jzGOGFVvEOmz3VvCAPMWGMRqPTFc68WpL%2043ns7KQtKuSe+eMmt3StbvWjkN3CRGpxkj8DU7F2TOQuLe5iY26qQwIBrmPjFYJB4S0y6I/ey3AD%20H/gL/wCFev3V5pPlC4mZE3HGT615n8cLWFfA9jcW8okT+0EVcHoDHIf6VUJXZM42R9EfDj/klnhT%20/sC2f/ohKKPhx/ySzwp/2BbP/wBEJRXScx4j+1z/AMyj/wBvv/tCvFbtzFeICWVWB3Edwa9q/a5/%205lH/ALff/aFeETXDzyDexIUAc9wKzkm2ikNc7Rg8knINXpdJSTQ47y3kLyBsSRjr9cU3T7X7THPL%20KMqqkKD6mpbES25JhOCpywz94elUpJMLMu+FZ5ItN1lA7ANbhSnZiWxWNIwlRQn34xhj689fyqc3%20zQC7EC+X57KcegBz/OordDNcPPHFiNV2n64qpS90hJ3JtHY/b2VhhZFK5/DOP0rZ/tNtJ01o0x58%205OXzyoFZ+lRJDI32w7Y40Z8j++RxWdczm5uWBORu61Ee5T7HTWvi65S1jhklbcDjdnkg1oHxLJeW%20cSvhxbyM0e7+6e1cGGZs4Uk5qzBdNFE24nkYNPnkL2aPbfBnie1Fq0SqxLMD5aDO2ui1bUIb7w/e%20oI5G+QpgLzurx3wrqx0y8t7iErulIVwT2zXfXmu3dnqZSMIA/wA+wN8p56k/hXbTre5ZnHUo2loP%20ExvfDxjsC0Zkj/eKONhA2sPxxmuFt5jZX10rGTy5Idqsw43CulSW+gmvbmGNY7a6y+FPcHBrldTn%20M1jGnmSbwxJRlx1rOpNPU0pxszsPDiapfXK38LiZ8KnzN/qxjt+VdBaa+IrieGZf9Lll8pWXktiu%20P8C69cWKx/utlrvKTOevGf8ACtKwmsob621O7uGylw8hTHQHnj8MVtTqJRMZwvJnYppsGmXo1CeX%20dOylAHPQegrTu2A09pcZ4B59+orzrx14nW9s4LqxYCKGQgHOCSehxWzqHjO0t/DMRRxNL5aZH97g%20GtJVYpMyVOTsU45tNj1FheRxyCF3kRH6AnOK8312+imu3mib5XJz7c5xVvXNQWW1+3RPkz54HUGu%20YiAuLdllYgk5/GvJnLn0PShGx1HhuQOLqFm2/abcgZ9RyK6izu4lv9LleRVFzZvbyZPTA7/lXnmj%20mea7lts4McLOrZ6YGa24keSzj3jeSvBJ6ZrmlC2p7FGulHlNW2kSP+zpvMGba7aEc9Uz1+nNXC0d%20va3qCRAbO/EiHPY88VgGNsKFjAC/d56U2SFpVYP0c5b3NRY2jWsdZfT2wt9cgMygMI7mPn+Lj/Cp%20bu8s7m4ugZ0X7XYLI3zdHX1964yS3Mpw7EjvmmtaKxYNzv4PvSE6zZ3EV3bX7W5aRf8ATLHEnPIY%20Dg/mKpS3Ecs+nzuc+fbvbT/h0zXM28DwkMjFSowMdhU487bgueTmnqNV2je029soRbz3mD+4ltWb%20uvoa7LR9ail0/T97ktNGBn1I4/pXlt3B/wASqYAdMH681oeHbqYXCKXOy2YBF7YPWuunWdGFzycZ%20H207nsz+Ra2zXF3IERBnr2qG21q11O3b7HjaH259a8l8U+KrzWLubTrWTZEuEcqeCo5q1puqS6N4%20Utpkcs3nMFUc5I65qIYmpUqKUtjmdFRhZHq0bsjqwH3T+dT3N872kqdAykGvH7H4k6p9ojM9k3ks%204XJB7muz/wCEpt3tI4ZjtuJk6DtmvUnVg4s5lGXMjBtr6bTtBuMnMLXMgYeh7GuNm8SeVMyiQsrg%20gHuDnrW1dzTT6PcWlqd0hmJGe5JxWJq3w+1DT7D7UJBIVXzGGewGTivOV5LQ63o9To/CXilFiKSN%20hiVCAfWvWrLVozpo2v8Ae4+lfLGm6g1pdpIOCjAj6ivXtC8Ri60mGJADLMW2+2a6KMmtGYzjrc7a%20XWbeIyZkHynDYPIrAuPEz2c13cIqmKPofUkcVi6hqNraOwkUFzw59az9Q1i0jjMRQFJyDj1xzVSr%20JaAo33N6LW9QkikYpxIDsxXO+Ibe8utOSa9clo3yBWlPrUNrZqYflEYxj8Kh1m+iutKjxKF34J9O%20RUzqpoIwszyjxXKZbePDcCQAj3wa2/hUuRqx9PJ/9nrL8Wm1Olxi2IZhcct+DVtfCGPzG1cf9cf/%20AGesU7xN0elWcGcMw+lWbhthyvXvS5ESgDqKryvlS7d6lmyjYz7wFnZ16jBqXULf7dZw3KffUYNQ%20TOWjdh68VJZ3DPZvF/dORUje5m7jvOeD0qLzPmxWjPbCdS8XXHP1rGihmiJ83kgmnzBYuqSqEA8m%20mfaCpC9zVV7iU4EcZznniq08F9K3mRKflqgsapmBQM7Yx1zUqXUaIHLDaKyZdMv7uPGGXcnapotA%20vnVY237cY6VI7F6XWolVXUjaxxTftkN2kohIchTkDnNCeFJHt1iKNgHPStnw94JmhuDsX72azqVF%20CLlLZD5LnK/2h57BNhAXpx0IrStpvPs1aRSHJ5rrf+FfzhmIhUZOasp4FuPLwEA4ri/tChbcpUzi%20pY5EtZmiXOQeg6VgWulaoLouZGKheMmvarXwj5VrseMEkc1KPCiociIflU/2hRvuVKmzyQtdWkPK%20b2PtS2r3MgJMRH4V6nJ4VQEs8QwoJPFUNmlQgnC46V00sRCtrFhy2PP4dNv5rwMchfSt7WtHvJ9C%20tFg3FlOGxXQNqelQSIhKBiOKk1PxDa2GlRTIilZScD6Vpdtg1ocdaaHqcwUmIjjnir8fhG8dd8x2%204p0njiTzQkKBc+lVJPFl/IxG8gHjrVu4kka8HgtGQNLJx1zmpB4Z0y3bM064+tchP4g1eX5FnZUD%20dj2pwvJZl/eys2T3osw0OrNxoNhno+OO1Enia1SzmezhUGPgcVxy26MGLZYE96miAjtJ1HdhTsRL%20RD7rxHrN+7Kr+Um7sSOKrTRS3bqbmeRto5GaVTjvUu8AfhTsYOYkcESDCLz15pxO0Y700MW9jRgl%20s07E3Y9DyDiqumwpbeMfNQ5eZMMtXF461DbJCviW2cHExIH4VXQaGTxBZ3C/3jTT94cVYuo9mozA%20HjfTWHzDHY80ri5dSjcKY5A6jPeuj8Pa+mm3kNxcQ7lVMgEcZrJkAKE4yQcVu+G9MW+Fwb6MCOCP%205B65pXNIo6DwZqdrdeKL3U7oiPfGzKX4yfSr11dwXCWVtAAd4klfb6VTudCtvssCQHy5IUEjgdxT%20CYNOudTuT/qraz+T2J61L1NFdHPRalbR6xBaXS+bEHZnA56dK4v4vybdFtYoXY28l0JEQnphWH9a%203tBthfateaiGypT92rnHFcV8S9QF7bxomSkMyqDjj7rVcY2ZEpaH138OP+SWeFP+wLZ/+iEoo+HH%20/JLPCn/YFs//AEQlFbGJ4j+1z/zKP/b7/wC0K8EMbYGe56V73+1z/wAyj/2+/wDtCvD4kMl6pbgI%20ATUSdi4q5etAbREjkOA68VYMMSW4KN++Ody47VnX94pkBKfJg4HofWiLUd9up25mj4J9VqH3KF1b%20axLqmAR8pHcUabMy2TR5ARn3MPUCrmqwKtruXkMinHpuGax/KMQ29xg0XuhW1LMpN1eFLeTCbep4%204FQwW2Tg8AjGaZEDLljww6e9bUPkmIRtjcBkn0prQdiXT7OIfvFXcCMEkVUurJVimA42SDb+NaUE%200kKAlOW7U2+LS27N5eA7AH8OlJsZzxD2lyhZiADXS2+q3FzGoeVipTafpWZfRFoUZk/1fBqbRCVu%20UZT8rE49qetiXFNm+mu3xXYj/IPljTPSs/7fJe6kqzEN+8xz3NTmzCGdlBZzmQY9ayYIZZI2dYju%20MoZeetZXdx8iTNOXU54bR7IPsDSbnx3561Xnv555YAJSAIvLXHYdP6VFHZ307SlYi5LlcenrVJg9%20vqMMEXLfKD+NWptkOKuJql1KZIrZHZ0jUIufSrV5eLBbw2yIWG35fr0rqPFXhc6KtndSbSHjEpI5%205YdKreF9B/tvXvtN3iG2t42fJ53EDNS53NFTXMZbWDJaRTSDZtQHb681h3LE3EscPCAkiu31u8tL%20nT/KtQJJEc5YcYUVxlwQ9yoRdyKSxPrzUQYSXYu+HH/4mrE87oJF/wDHa6ezjBs4s/3RWJosIGsr%20ME8qKeNygznC7T/WtmK7SGxj3cfKKvcuGhMIhzxR5f5U3+0IcHYcnFRx3odRheQpLVPKac5TkL+T%20cSZOUbAH41CXljuoUfJG7njsTVr7QgV3KZduf6U77coK4j3E8ZpcrL9orFtUxxThHn8Kovct9oLA%20kIB6UfbpBIFVc55+lPlI5i7eYTTJwRwycVkabq4sGmBOSyYU/hV2WaSfTboONoVK428PlTKFbKkc%20mnKHNGxjN6mnaXBE0xd9oIIJ9TWz4f1lVsbmKUeaIz5oB9eBXHiXzFWLf+6DFjXQf2fHaWsE2n3G%20+5k4dPY9qfIooy1On1bWZD5XkRKsDSodvoTUGkSPqepySo2TGpYc9MVjtfXF7PaxtBtAkVNufvEd%20qp6Pqb6askcY+ZnIds9B3qJNy1Fy6mvFrn9n37mdcMWJQVcvPHZ+wrG43PtdV9icYP8AOuf1LE16%2097szGw/dj6DmsoW7XLBi2GzkL61UJWVi+W5BeoqTeZjh8vj3rq/BWpxW1w/2lv8AVRfu8+prmLnn%20du6Iu0e5qK2EuQsanIOMg1fNYTjc9Nksv7WRmZgszMSoB64Oa5q5Mqyq12mI458AZ6kZpdHur2y1%20E21+5jUt8x69QP6Vqa5bBbZ5IsOsYDq4PX1rnlNtj5LGZd6kgSSJ2yuCU/Hiql9frc6ekCSbQh2N%2071z87tuWaX7r/d56VYFuJbb7TE2cH5h+HNXayuTYqa/bRx6ZDJEcjzNp/I113waA/wCJyT28j/2p%20XEarLLJYJvbKeZgD0wDXafB7P/E4x/0w/wDalbx+AcfiPTZCd2ao3LlsIvbrUt3cBCEHWs+WRt+F%20++3SoubX0ILhyV2Iferuj2M8t0jBSIjwxNW7HSEtYfteoHHfBqjrfid7e1dbBdqgcYHWlqwVlub9%20rosUE7hpBhzwKgls9OhlPmyjOea5PQdYvby+jE5ZTgkgmku2kluZCzMfm9ajlZbkrHVNPosH90/h%20Vdte0iJgioM59K5qOIMPmJz9afFbRPLk9ScVaTFzHQ/8JTYIPljBI9ulSf8ACThseXAMdRXMNDAL%20iSLb+NbECstuuxM4HBxSaGmX28RXewlY8cVY+G/jG71nUb+G5Uq9ukhXPtUIEcltzgPjpirvgmxh%20tvEl4YkADwtux34rz8wt9WkjSN7leTxlrskjGOZgNxA4qObxX4iWyaU3ZUKMlhg4pmvxSjTJ2tF2%20YO0NjpzWXpNkw0O6huHLhiGY5qaeCoOC0KfMmaniDxh4ih8MWdzY3LLNI5DkCsk+OPFCaCkj30gu%20GBxhc1s29utxoK26DeYlYKPcUzwzYDUEZJYclFdMEdeK0jgqKWxnKUiv4F8SeJtU1xIdU1F5YGjk%203IQOflOP1p1naSOwimcne+BV/wAJaZ9n8VyAIUEUbgg98g0k7JZbLu4O2KFtzH0qKMIwxM4xXRfq%20F/dOP8dWDWes2QsZDmM/vAPSuh1ZYjoOm7+f3bN+NUvGcKpfWerRHdFcLgCrviBVFnpypyphyv41%206Jm3ucXpN79qMwcYZGIFX2csevSoRZC1c7VwWJJpTwetaPVjjsTE5WkRymKiycGms/3RQN6GrG26%202+poH/HvL/vCorL5rYk9jUvS3kPqwpEz2IBk4NSDk4pgZQQPWp0XjB70HIKqAVKuOlKqgLzQAM0i%20hQMfSqq2yJ4itLhTmRmCge1XNwHFUZI5Y/EllcD7isAPrnigEWNQiZb+Y453UxflUbutXdYZv7Tl%20XbgqcmqAYODTRTHkhSG9TXXaFqtpEkaXGPRq5NYzgelSKh7fQUmi07Ho84t75pJtPkDSMgQj2rO1%20bSLoeGtUkePc1x5cQHoM1yttfS6bMXEhzjgZrtdH8Z21xGltqYAWU7Vz3NTsUpXMO08OxG9aCAbB%205ag49TXC/Gjw9BoHhyCCJRvW+QO3qTHIf6V7Tp6WNzfNPYzK4STDgH0rzL9oaI/8I3HcMciXUotp%209vKlrSEtbCmtD3r4cf8AJLPCn/YFs/8A0QlFHw4/5JZ4U/7Atn/6ISitjA8R/a5/5lH/ALff/aFe%20UG1hi1ieKdxEPLJBI6dxXq/7XP8AzKP/AG+/+0K8o1UJJcwXUPzpcwrkZ/ixg1jU6G1O1mZFzEJ3%208iP99KvAYcceldYPDVlZeH44Avn6lcjhAeQT/hXN2AYztsYIzcbiK09N1RrfVMzsZJg3DZ4Xsam+%20hSLGsWjR6ckAIBUKjHH3tq/4VhTQEWCP94AkBv7wra1y7jMlswOdsROc9W24rIlDLpcOG4cnI9wT%20SjsD3KCK7MEiT5s8VK1neIWBU+pqxpKFr7O07RwTXSbMTK2AeNprSJJzNnqM1rdN9oGeNuDWpb3M%20cqp833nyV9MU/UNNju4mKDDjoaw7Oc210Vm7HBFS1qGxvapGF0uUoPmZgf1zUNnHJbW6JAm9icj8%20atPKLy1URDbH3zzmrVsuyFVT7xGAfeqWqCx03w/cTaheJeWv2lo4MkZxsJ71gTCKC8Ewj8wRM7Mo%2046OOfyqbQYJBqMh+0+ReMuWPZuemK0tauUtZ7SCO2w9tbSR3T9izHIP5CsJL3rlrVFC01aFrufUY%208R2kN0GGR1wMn8yQPxrD1hEuPFH2uwGIzsYD+8xA3frVjxOgRWhsB+4WJXm29N2Af5VhGeWKGEbS%20ZAm5DVolnoPiTZHqzWtnN9stLuCNVTP3HPbPsai8WpB4bgt7fTyY7hY8OQc8kciqfgTw9/a+o2c+%20rzsY5S0j4bG0LSeJJLfXfiBZ6PpkbhLi4ii3M27OTjP5Vi02yltcbomgzR6TdarfIy27R/ID/wAt%20CaztE0lbyPULyUYERUFfY/8A1q+h/HPhyK38H/ZrGEL9mjATjj7pH88V886PeXWiXt7ayoZFumKu%20MdCpNKLBk1vNZnVLS2sxhoxLvGevynmrdlYpPp8bM3LdvSsPQSz+MYg65MhkB477TXVaYhFhED2G%20P1rZfCEdSIaXCB+FRXCwabbPMRkdPrWptxmszWYJbqGKCH+J+TjpxUOTsaxirlA3NmrEbeQmQc9e%20OlIl3A95DEI/ldck56HrUf8AZ7NbyJP8kqouw+pBNRros8iF422MNu3Pf1qVJlOKRatroyzx7ov3%20cjlfpWvHaxRklV6nrWZp2m3Fq4ZmGN3Qitr+KqTYmkUtSUJplxgYyvPvyK4G5R2LDb64r0O+j83T%207gHtGSPw5/pWRDoscmmzShcsFVwfTkZNaL4bmUldmJB4ekSyEkvG5c59PSqMYmS4MQkKurYA9c12%202qbbTSEnlYBW4HuR0rgxFMNQVckszZB9TSTbuRY2rm/MMwZPvxkNn0bvUemxRymZm++3T2NSanoE%20yQGcSggfMy1RilFtfW6K26MnDYqbaA0aFyjWugxSySZZmPy46CsKS43BXR+nBxXU61Ck9naQJIu5%204wT7ktiuXu7A6detbytk5wPeinsEh1vuubdh1xWpaSLa2ke9M7psl/YcVL4d02PUZru1jYKBGX+m%20Bk1EYZEt2CEPErfMMUpS1sO3u3NCw1SC71K9gu/9VcL+7b0bPH6U6W7ktfLiZSYgWU5P8Q4qKPRr%20e5tBdxPsdJACufuitDUbJVkujnKNGpx6McZNYtq5SV0YOs2UFpZxOj75C2XX071JZ6Pcx6LNq9sC%209sjbHXHTNMvt13BtX5stgkDriu+0W8tdI8I6noc9uZFvSrBv7jDFXzpKwlG54/rYAI8tCkZbKqfo%20a7L4RvsXWD/1w/8AalZ3xDsILRbR7fADjp6ct/hU/wAL32LqvOB+5z7/AH66Yu9O5FrTPQ7qRQ4Y%208sTwK0rO1isYftl6Pm6opqLTrBFi+36hwg5VTWfrGovfSfKcRgYUCotctsbquqTX74DYQdFFYd0c%20xHHPPSrqqQoLVUYegyMnNaLQh6mnoyw+YWUfMqEk1DNzOxHQnNX9HttlnLKV++nFUZFxIfpU3dxt%20aEaNyT2p8aEHIqKPmPaOoNSwOd7Bugp6giikzPqDxAE4zzXU6fkWnzDiuehaKO/5BySRwK62GNRp%20nHG7pUSLiTiNZbcPDhhjkjtWx4XgEeuTMP4oWz+VR+FdOhOjXLeZvCq5PPervhqIDUpTn/lj/SvL%20x9vq8kdkDK1h7dtIuYUYGTJbFYFlE76bdnpiHJro7qxtluLmbdkopLLWBpd2s11fIV2wPEQvFdlF%20/u0TUXvGx4LiRbNJpvnKswI9c10ET2dne+bEgjiXrxisDwsFTSSyNuDOTWxcxLLEY/4cc0OT5xcl%201cxtP12PUfFl0LAARxpJlgOpCmuCH9t6tc3AlXFtMPukdK3/AAfEtt44u44jmICQ4HrsNTaTqZlY%20QvEI25IyMZrGn/vU/RfqY7KxjX0E8GkYvHBit1AjBq9qUrNbafkfKluME1b1uzTUNOdWcKMjjPvT%20fE0H2OK2hI+5bgGu1bkSWhzjMWjBJyagblgO9OC+VCozuJFMDfvAas0itBrZFIw+UE0rnd0ofKxr%20TJluXbNiISOxNTr/AMej/wC8Kq2jfuyPerKcWrj/AGhQRLYj2AqH7rVlW6FupqBW4xUmc4oOYnRs%20k0/FQxE7j6VPSGGM0kmFCO3VHU/kaNwHWsrUNato5Wg3DeFyRTGb3iIH+0mkT/logb9KzYoyYVI6%205rRun/tK0tLyLlWiC/lWfKxjj2rw1NFNE3mAnavYU+B/3oVvXis+KYwIxcck1btgZlEncHihgExL%203Lbuma0ri5tJbG1sVKpcAFg57elZ8oLSVm6qSkcUqD5sn5vTFAtjr/Dvhq5tbeeaO/Kuys7kucZ6%201xnxWk1Jfhvp8WrHe76gkisPTy5Mfzqwmt3j2yww3DBp/k2g9KtfHGaJvA9lCj7mivbdfw8mXP8A%20SrUbag5H0N8OP+SWeFP+wLZ/+iEoo+HH/JLPCn/YFs//AEQlFWQeI/tc/wDMo/8Ab7/7QryHUrSW%20xhjjdvu5I9ua9e/a5/5lH/t9/wDaFclrGjQyW8MznlXMZz3AHFc9aVmjakrpnGaRb/aro269sPu+%20lZt35kN20iHEgY5H0NdzpWlNaI7xJnfJgtjtiuV1iymS8lkZCBIxYcVnGV2aSjZFCaaWYruOc9BV%20uH95ZrETykhBrNSQrweucgmtKKQNiQcbiCQK1IRqWcXkbvl7g5q2suetZT6oAMBTiozqx8wBVq1s%20VY2RJjp1rm9WXyNSLqBhxuH1q5/ar7jx2rP1Odrl4ncAfKQPzqQktDX0u782Irjt0rTE7QwAoMsv%20NczYXLW0ZIweMVeTUJXibkA4OM96AtoaB1eY6oJIwI9ybSSOmP61JNqU95pU6SEmVZUDP6qQQKxP%20O82F1k4fIKsKtC5LWM8eNpxGGJ9j1rGWw4ovfaUbw7eRu3+lGZUAPVh/9bFY6yMZlkbgouwZ7cVL%20FF5sm/dmQSDC+uBmln2HzLhSpBYhl9KEEkdd4K1aCz/tD7RKMLbERDPc8GrfhWG2tfHmk6xeuqPH%20MrNu6DPyj8twP4VwNmkrXETRKzbySVX0rc8yWe3Rg2JIXD47kA5qeppGOh734/8AEltL4N1AQ3IM%20hiAXaeprzHxTbWc+jWL2aZmRlklK9Sdoz+dVtS1P7Roc7ScDYGCn6g0T6jbyWUzJldoyoPfvWexr%207NWM6ysHs9YsZ3hKMspJJ9+lWrG/t4rBVkkUOpbIP1rN07XpLzX7JZuf3m3Hb2q/pOnWM8Dy3O44%20ZgQD0Oa2p7amTi7pItNqNqF/1y9KhbU7UZxIprQh8OaddIrxbgCT1PauW8YWcem6lFDa8IY8k/jV%20rlZXJKJHqtybmdzbyBQy4H14/wAKrq0rMWNzgY6ZNUIJSbSdm6q6Ae2c1rxy26WqSMobC84HQ+9D%205USoyZqtq0MarnJ45qL+3bcN0OM+tZf2i1vbWQyKU8tMpjjnPOaxLplLnyWO3tk0RsyNTrZdft3t%20ZkUEsyEL+IxWrpKtDpN4cby1m2369a5E6YILOxnIP76EuT9M/wCFdJoWsRqkyHGEg+fPTHes6krw%2090cYPmszm9Xlmm0mLeSxz07Cskb0EUoPIOcn1rpvEd9C2xUiCKBg4HB9656OZUgdNuRngmiGquOS%20SdjQhvbm4ileRsrGhP17CmWOmzT6xbI8f7kPjOPxp1gEhhiM5wsx5HsK6K2nH9oQWo2rInI9xjrU%20TlZ6DcTn7+JtrNGT+4yF55xuqCdX1iRmxmWJFAwOvNWY7Ge5v0WdjHBJKwZj6Zrb0yC100Sh4z87%20bdx/z71LnyomybMXw/He6Td3e6FgXgKBiPWr0WnXE1kJ4ozs2Etx3zzXfyWlimjpMoBby8nPXpXM%202V+tvZyW5Iy4KKOwBPWsPbczNVDQwrbfb3iwMp8u4TJ98EjP51Nqqs+ox2yMTvQgkH2pDDdHxJAY%20QHSIbDxwMn/JrQ1CyeyuUbbuJc7D3PHFW5K4o02P0TRJrQNLd2xMYJHI/iHam6nfCG3uLlyAJJDs%209sDFa9heTXPh0rcybXCh2Geee9cZqtndGPymy1uZflP15rOL5pal8qSMjxdcrPpsRBLFnjO7PA+V%208j9a3Pg9YpdzatJOcQwiFnz3+/j+VY3i21WLQbeSIfL5wXP/AAFv8KsfDe7kgt9WhjOBN5O78N/+%20NejS/hHHL+Iej6zq326YQQnbCnAAqoE3RLxyKrwpuYZqV59jBR0poTRE75JB+lQ8EbBU1woGG9ar%20umFYg80xpHR6dLtsSjdAOlZl2nzF16Zp1ozG2dt3AWk5e2f25pR3La0KcDCF+ec1agQNISf4hWXL%20Kd+VHTrV2xdnyTxiqZCZCQUvwETJL8mupgdp7HyycHoKwGlZdVK7PkZAc+9SxanJDq9tbY+SQ9fS%20s5GsVqd34MgNtBdxuf3TfKK2tFhjiv5thzmMj9KxUulsrHah/ePz+FamjHZq4BORLbFhXk5gv3Mm%20dkGUrqy8mO6nPzF0YEVyGiq3lT+aOBG3Su6vyRps5Xn5GFedeFVuk1Ro5JfMhlVgVx0zXdh9aaIq%20bnReFnB07CDagfgVLr/iSDSMRspeRgSAozUWlGS3hvYBEVaFiQfWjS1t728tp7pRIzAjBqo6yFJ2%20ic94EkeTxpNcsCiOkj7SP9g1v6etj4htLW90zaGikKyr04o062R/ik8UbAQ/ZmG0DplTXHRC40J7%20m30yQjMuOPXNZ0l/tU/Rfqcreht6rAzq8Mbkv5i7R64NP8VX4vCi4+dIwrfUVR0db3+3IftpL5bJ%2046VNrlzGZLiVI8MXORXXazH0MFlZY0DelREENVmabzChP90VC3XNM2jsRkHtSOxIC9aduypzTSm0%20hqCZE1qxBIq4v/HuxH96qlumXaraHbZuT/fpmMtheAM9KfwKqNOoPzHimSXfHy0HMX/OCr6Uj3ir%2015rNaVyoLGoSxJ5NAXLk2obshe9cvLpzXervcbuCpFaN07CF2Tg9BS6IPPkU3R8tS2MnvVx2HFnb%206HEYvB8G/rE5XHtVe4thNIJE/KrunXEMuj31rAQTC4JqiHaLJHTrUG/Qq30O6IBBzuptpcmJSp4C%201cyspDdqbHaRG5ZW4DDNMzsPVlZRJ2IqsYRcW8iMMgE4q9axxCPZu6nArc03RoWt5ZZGACrnnvU9%20QscFpGnMPE8RQbtpyAag+LUEsvhhL4k+V/aKRY9/Lk/wr0rQfDUE2prqNu6vwQV+tcf8aLb7B8Nb%20W2fh21hZMe3lSitE9RW0Pob4cf8AJLPCn/YFs/8A0QlFHw4/5JZ4U/7Atn/6ISitCDxH9rn/AJlH%20/t9/9oVgXiqdLImkwyEOm49eoxW/+1z/AMyj/wBvv/tCuN1a6a402EyptDEjcvbvXJiVdo6qGzNK%20GVorVQeBJGD+OaxtWtJQm4xlgzbckdMiui06FLnTrMtkqY+prSksVuYtrfdDgjPtWEdDRq54TICs%20hHXBrQshuiPHGal8QW0dlr13bxj5Vk4z6U+zONOldVzgnmundGNtSkepHaowf3n4UrN84/Om5xJm%20tEWPz81QsfOkCHOFHFSLzntx3qQwKirIjYbPINJgxNu3oCOKswQmQZBA7DPao1Tfl5Gwq+hoNwFj%20AA/AVNwHsMOVXDbRk4+mf61ZBFxDOwGP3Skin6XPFb3TSNGjpjo3oaVGWWHUZYQqoAgPt81RK4o7%20lS1klhmV1Qt1GcdDjH8qjcEzBE4RjkZ6NU/2n7OrgHPzbvrng/pTrXy3WNm58sHGelD0QbnV+HLK%20KdVhgH7+Mncx6AYqCS9tEum3rtZcp8o4Pap/Dtx5VllXSOWTKls4JzVs+EEn+9MMsCc57mudy1Oq%20MdDPvp4zpkyRyJICnGDngVBMNtj5i5b9ypIH0rXn8N2+m6PdkOGIgY8HocVXTSppPD0d1EV+aNOG%20PbFHMmXqZPhS0S78TWRXcds25h7ZHNaRu2sNYuLdUzGboqFA6ndR4MtJI/EktxEMR2hUSZ75NdNb%20aDFd6hcXThiTMXTA6Hdmrc1FMxUW5IntnVDv82JVXKGMHnNcX47nEmswAAcQ44+tdxH4JNze3Fys%20soJkDhR096zPFng4ajdW1zAxQABNvfjqTWcasbm8m7WPNk3R6dcFv4mT8OtSWd4B+4fGyRxuJ7Cu%20nk8MwqjQzSMGnlVVA9FBOajXwxY3Uwa3kdlzs2r1yKv20WcylY5O8ZoLuWJX+Xccc9QagD4+hrv7%20XwlY3LSzXbMChK7e5xWjb+DtHk2BQx3cg4p+3ikWqbkZlwqvo+iIVyHtWx9QGNVPDGnfbbe/X7p8%20p3574/8Ar1391oMEEulxqAYorZkXPYkkfyNVPDqaVBp9wHZVl+yMhI65J/nWFOVqfzHLSV/I81eO%205u5yLiJmjXJ3KOBxSWmlfaDGgBBk+77dua7NJ7e3tLuGOL7znBI+72rMtJoINR818LFHCTjuTkYx%20Vc7tZGEt0VLrw9c3Fzb2kWFRIwWk7KPc03SbKcXkU877mkkMQbPK7RXYtqFtJZL5W3b5YM+Opz0F%20YkMsFpbkSE7gWlGOxPFZ8z6m0mrGZGjrGyyPuALHJPAP+NLcM89vFtbHHmZPTp0oEoCCArvZySoH%20O761DOshQRxqSvOAR6DpTs2c++xdttfMsXkOxIyBgenQ1KbRpWF4EPlBwOBWTZaRNPMpjwmVZzjs%20AM5rX0a8eTT9QhllCxpbkpk9WHII96bppbG0G4vU2NKtoYL66uLmWNYnVXUk9+aj1/ULa7T/AEQ7%20hAfvj1xXEWo1G/V45pwkTEE5bBFbUwht9BkgtnVnbaWIPfpRKFncuU7xI77U0iuWSKTCugAGeo7C%20jUp2+028EZYqq+YB6kjHNc7IrmaL5SzK2OfWtm1uvs0he5CyyE7R34xVOKijC5i+Lpt2h2yDcD52%20XXtnDAf1p/w9AP8AaGen7r/2aq/i5y9shAwplDfiQan+H/3NS+sX/s9dlH+GYv4zvI3HApJ16H0p%20IY8kVMy/eBq2WRn50G7tSOgGfegsGPHalk5G7sBikND7bcun3BX8KmsmZ7CTcPmAogcfYmwOMjNP%20t54+VA4PBqNmUZC/PuwKtWTAswx2rStrayJO5wCx9aebW1gdpIW3Yq29CLalFPNkuivlnHQHHarz%20WYWWORl+Zehx0rTimghtwxQb2GRxUMFwtxuEgwc8VkzaKDzG8xWclgewrovB7z3GpSyz8LHCyID6%20VkQxLGwZx8q1p+D7qS61qZNmxBG46V52YW+ryN46M3LmHfZzqejIQB74rzzR4Hi1qFF/hbGa7Z9Y%20Q3EtseNoPJrzzQlvP+Ep+1SSAxNIwVQeK6cOmoBVaueimOHdIcjByr4rA1I2+l6xplran/Wbm6+1%20V9Dup3/tJJmLfecZPSm2sK6nax3RbdcRA7Ce1XDRil70SHTZkj+IjurnzGtJDjPohrkPD14ssTNI%20S8uSxyeprf0G3z8QA8jnzPs8y4J7bDWL4c09DHOUKlkB24qab/2qfov1OJ7HXaHei51S33xEHGWb%20HSma81lFGzxFXWSQgkfWotAleRpovL2v5DDdjoa5y+MttZxxSsWG8DPvmuq92V0Fu0WOdgv3eMVA%20Tk0+4Ja4ao2+VM03ubrYaxAHFI8gEQBqHcWNEgLbfpR1CSui1DOAGIqxvLaW5H/PSqVuvyNmrRyN%20LwP+elMxmrRKXUjNLTDmjmrscdyYkCEYqFjTt22Nc0wODnNSSyC6J8v5fUVUuZdkAdc5Q8Kvarrx%20NIpVevWo47Ty4XeQbvMbn2rSJcdjZ8HzyNNMGyDMvzg963HUDIP0rC8NTEalMSmAIyVAHXitDS7q%20e+86W5XZk8DHaoOhbFgfLtI7GribJvmGAwqo+R+dNVirHacGkDRb2BSHXjFaN8ZW8GyXUTkMr7CA%20fWqEMqSRhD96ttZFl0FdLt4/MuJ5gQMZ6c0rEvQbaaNPp0dslnM4l8gSuNx61yPxvuJx4G0+2vRu%20n+3JIHA42+XJx+tdtqGsvpOpF7qIoWiCEEdAK4D4y6hFq3gy1vI84+3xouew8uSqS1JvofSXw4/5%20JZ4U/wCwLZ/+iEoo+HH/ACSzwp/2BbP/ANEJRWpmeI/tc/8AMo/9vv8A7QrEksY38Gv5ihmEihT6%20fLmtv9rn/mUf+33/ANoVi6FM154JuUYZePy3PtwAK56yu0dNDaRb0VCdJtlxwuR+VaW7EZQdDgis%20qxv4raxRH3Aj0HSln8QWUMLEl8qp6rXE371jrUdLnmfjZceLLzHHzj+QqfSbYt4Vlk7NIQPwArN1%20WaTUtRlvGBJlctj/AD7V1Ol223wCHJxukk/kK7Y7HJ9o4c/f4pxPQ9T1pPMQMV79qb5n3gByKsdy%20eJkEmZhlV5Ix1qdmEpT90B3GO9UPNcuOKtQNcK2Vhctt+X5eM1LQmy4fK27WUL2GKqSYaMJgAqTl%20h1NWDpOpyt8lu3C7myMVYtNAv5LdnWAB93c9BSUWSmQz3FoI28gEbVCqcfe9zTNMdRY6irksCinB%207/NzWraeDrguDqTm3gxksnJrei8KaLb6Hci31Cae6lTaoaPGOc03F2BM4e6nincmFNu7AXHYYqfT%207eWWWO3YFQWHPYZrsfDmhobd1m0yGUqPvu2Dmtc6dDuEbadDGobkq2cCly6DizlovDeqvE7wpuSJ%20uSD+VXLSTVkZo5txk6Lu7cV3MVzFaW6i3mK7htaIDgcVHamykDG9lO4nIbb0rGVJs2VWxxMkGty2%20t2JI22mNiw9Rir+nWepPpkMbhwqxKQv613Cajp9ormNzd7xjY64AqNtcRtxitUTIwAO1Cosr2pzX%20h/T9TjTUJPs+1JJss59OK6jw5Fcs8nC+UGPU88U2316aK3NuVDxk5IPemJqjow8mMR8nGD2qJUGx%20KrZmhqurSW0TLA7xkddorjrvxLNC7fJLNh+WK1vS3xlz5kYbJzyarXDL/Z8kUcSjIOazjhrbkubb%20OeuL43UttOkTb1LbBt6jBGKSKSGxkSSzO19+SDxyR/8AXqqNWlJDx/uvsyngenT+tVDMXjPnHEpX%20jHPAwaHFLREXNOK8ll8m5YhZfmLjPAB/rxVe21DVJt/9khZAoBw5xgA1gfa7qNZYmG4hy3Jq54dv%205dPMsTYZpGDMxPr2pqCuOMpI6S5k8QahaQywyKFDAA7+QRVCLSpbVJxJL+/G08ngmtjQ5RLYllPO%207kelQeIYJJ4AYRwOv0q3BKOhUk3qYl7eS2olt7gHMp3gqMg1kmN71mlDMEjKqT35Bx/Kt37TA91b%20RcSwxgR7m6k96z77/QL24htvm+ZWHv2/TNKMSUrolsHWytZFkcsXByT/AHcVJpd1Hf3zxlCwZSvI%204C9q56aeYXISTOWJz9Oora0rzYpG8kZSQgg+goUV1Frc0dVs47G+huIyyRr/ABIPumqMv2gNG8Ry%20fLZifQ+taly8xtpLaRA/ygZJ/Wsq9leGHanAX5Qf73FNI1j2LOgztPfNBGWJMDoMD72R0rE1WeWw%20ujatFs+XODxjJrsfh9p4PibTbq4VltWmG5wueRVv4peHEbxXM9sodZiCGFC31JqOy0PNYLsSTMJS%20VVuuKuGyuCpFkWZW5Oa3ZPA1zYpCdRj8vcu5f9rvXSaDpUb3tuk8e2DfiT6VlUnZmUYykcFJaz/b%20UUcbBlyfWui8PeE31bUYLeHBkdsDdwF9Tmu21zwpo1zIPJumhkBGQq5/GoLQPo1zcPZgFODG2cZq%20HM6Y0W9zkvjL4Ih8K+FrCXz1e6lulWRVIOMo5/pXHfDtdw1Ef9cv/Z66H4r6vd6nosBu4AuLpT5m%207J+6/FYnwzUMdTz28r/2evQou9K5z1I8tSx3USgJ6HFRzsQhI9Ke5wcDvTZUymO9WOxRiYjcW6Zq%201Ewk69GqMwEr6DPNBIjK4420kCRZUFbGdRwSQBTbAhmlQjJCVI0mdKd1+8zYqvYs6Rzt3C9agp6F%20Kd3DttzlRxV/T5GOxWyQTzVPe3nDIzkVqaahMiBhwzYq/smSfvFm9n2ahsH3IxinWrKivNK+1M8G%20q1xGXv7gHs2Ki1NBJo4tl4DMNxrI6EzWg1y2ubh4kbcI+Sa7nwzFHHIJEUBpYmbPtXmvh3QEWcxx%20HcSwZj7V6hoYj+1eUh/1cJQfhXm5iv3Ejop6mXcacDJPK+BnP61x9kgtNbWHkhZcA/jXpNzZrNE6%20t/EOPrXIDS3i1XDJyr5BrqoTXIkFWHUraG2dcuYSPlkLIf1pNa1Gx8KaZKf4wMDaM9ad4ZUnxBel%20jhizkD8ayPE8CXl5cb03qHAxW6V5GTdoFHwIl7L4m+2ajn/SLeZoyew2GsjwnMzK0cbHMj7Qfxrq%20fD8sn/CW29qP9StpKPp8hrlPD0ixmaK2HzI3yn3zWNNWxU/Rfqcr+E9MtdFn0vzJp5FKGBvutk5x%20XJanAs0MYbr5ikVv6MtzLPILmYyBYCSp9cVz+p5KQY7S10/aL3Rnup8589QcVHKP3ZqZiWkc+9RT%20HEZzTN1axUbinA8KT6UjAUrJyuPSmDZKjZU49KnJJ0wf79QRLgYA7VbZD/ZLED7r0GFR6GWSc/jQ%20DzTCWJNLyDV3OSxK3MYpnalP+rFN/hNBm7kdxKYoGZDhscVtW93YT6dFFty6jLnFc/fhmtD5f3sj%20Fa2i6cs9g3HzMvHvVLY0ib/g+2hurq5lZQqopCk9xUjqqSsqAADI4qCCKcaDJPaDyvIl2kjuKqpq%201uZAruA5bFSdFtC5yR0pgX2wasK67eT06mjcrSFUOABnNBeliEAqQV6jmtvRNWSx1CG8YZeI5ArM%20SJWUsH5qnaLNJdSAnCqSBSMWbPj/AF5NcuoHhj2fKQxA61wPj8o/wztgGxJDqcaMn1ilOf0rodam%20W0tcSn5j92uE8Z3Im8OLnKu92jFfYI4/rVpmZ9h/Dj/klnhT/sC2f/ohKKPhx/ySzwp/2BbP/wBE%20JRViPEf2uf8AmUf+33/2hWJ4NmWbwfqOF+YQxg+3zVt/tc/8yj/2+/8AtCovD9jDa6Lq0Vt0ES59%208Gues/eidNH4ZGM+pR2cHlSL8w5PHWqOsXsd3o0ip+7eVgvTt1/pWmbRZZmaQgjgAYqO40ZJXRnk%20GxQSq47158naZ3xV4I457BF8qJBjCN82P9nJroktRD8MdNbvKJiT6/Nj+lW59PSCNyzAgRt268Vc%201KGJfCuk2sS7IlDgD2LV0U53MJwseTrpjyyZReRVyLQZpGDKnPU16IvhmHy8IwUno2OtTxaGqrxM%20MAYPHWplWLVE4PTvD4+3Rm5+6DgiuwihiijREjUBTkcU690j7P5cyS7yrZZcdqByvPFdNCXOjnqx%205XYsvdyuuNwAIx92oAcdKTdge1JkjpXVYwHs5YYJyKQMAvy8VGTR2FFhEyv8pIOKcGGBz1qHd27H%20rUg449KOVBckzjkUu/NRl9vWofNx0NAFpT1yaejHGap+cFwCepp4nA6H2qWxl1Tinq+G5qibkKOt%20H2kDJLDj3rNtFWZobqgvbmSG1LwjLY6etVF1CIv/AKxcdDzTZdVtBuV5l9xUPVF2MLUYFW3a+tW4%20fIdffFQ2kQS5W9lk2IqldvXoOlP86E+darKNkjbg/t6VmtOpsTbK2GDE5/KuaxcYlhHims2c8zMx%20ycdAaq6fayxebLOONuUJPXmr9vLaxIvlgARqd59fannTb28sVvypis/KOw+vX/CqtcTSTOh8PEJD%20J5X+pbkN7960rhFuIyrnrWLo7paaXDGX3F13DitSJ2lZUijLsxHeqsramlnY5XVdMksdsluclZ+f%20xFZ807td21w5yZG2MvqB3/MV12raXd3My20CnzlJYqOcY4rBvNFnBgg8sxiNjuk9M1OgknsUo/Ix%20M0i+c5Vgv+yM4BrR0V1t7HYx+Yseak8M6I9+zmVwiElWyOvH+NdQ3h20t1VYYfPdmyWBxgVLqKL1%20NI0m9TIghn1NXFtG7+XyzbelQano13cQQqI9kIyGf1Oc17narpGm+G4YNNiRLiZFR2xn0BNc74ui%200iDVbGyUgoBiTHcEjP8AWiVRW0IjGSYfDmfSLXQbe31PYMIWGexqlrGuaNDZ2cctrHPN5r73L8gA%20/LWZrv8AYgstQh8P2jiV4QkThz8pB615w2h6m/zys7PkHOaTmkhqm27nS6vrup6lqkNzc3AkgiJC%20RcDatQN4guEO2F+G6fnWJBo180rLIGKgZJz3qzFod4EDh9r9OlYTlFu50RptbFtPEeqFtxtzIwAB%20OetNuPE18Iyptee3PStaz027jtAkxBYnrjpWvZ6AkseZIwWJzuxWLnFG6gzyfxvf315o0H2q38qP%20zwQ2ep2t/wDXp/wzznU8f9Mv/Z66b4uWP2XwjatwM3yDAH/TN65n4Zf8xP8A7Zf+z16eHkpUbo8y%20urV7HeOoGM1GehY9qe5zRjK4PStBDM5QHtUbwhsMelThMJ7UpAkTjgCmUhUVPsew9GbioYI/LinV%20v7tLd/u7RNvUHNOVg2nvLnlhzUdRSM0cyZ6VdsZ2OoRKPuhs1nNMqtyepxU1k7i8Vh0BrT7JzL4j%20bkGbmc92amrCJ7Qr3HNR30wgdjn5m5p9jN8o3fxCs7aG1y/4Mhdb65ads4BArqfDhkXxNKjZ2+Ux%20BrmLOT7FaSTL1dwK1/C2qNJ40ezxnFsx3fhXm5iv9nkdVOVkjt5Npi+b04NZZEckw8zAYc0+XUre%201nEM8gV8ZwTVdkiudSS4imUoq4IB/WnTi1FM6HZrUzrDRhZ6ncXWf9YM4+tYt3ZK95cDqzNnFdzI%20IpZC0LAgAVQi0uL7eLlhkYIaumEmpGM43ied+GGc+NV3j7scw/DYa5bR71IJpWK/u9+D+ddppjND%208TJYFjIiMMzZx/sGuFtFgMhjyVGctk0qTvip+i/U4JJ8p6Z4Ou4LzVJAHBjEW0n3NY3iXTpdO1ZI%20x9xWLVnaZcJptlK9rJiQuM4Paui1XUYtXhjlJDuFG4r2OK63uaLY5wWkjOW7NzRJp2YiWNTG8xkL%200FVpbt2jI7VLKTY1baEAYGfWnrFEw+70qkkxDY3fnVi3lLqx9DRcp7D2i2L8q1btdpsHWYYBaq4n%20J4xSzMRacd2qkYT2IJLBGYmNhzUY0xyetHmEHqakEzjoTTMtCGTT5cY28VC1lIo+6a0FuW71ILr1%20ApiaRlJZM+VdcA1qW8n2WMJF8pjBwTUy3UeMMv6U7dDIenJNFwsjXtzbx6Hb2N1OqG6k3E1y/iDQ%20rG1vI2guQ7M+QQan1yxmvrq3aNyqxphcGsu20a6E8b3EjviT5QTmn0K5jesbVzanzGzuBqQW2bby%2092GAxmppXEeI042jn61EGJ5NBaZLagQQhZDubGKhvOEVoMg78n3pxORuJ5pA2WA6igRZuNOh1GOP%20zuy5/GuK+J1nFbeG7YxgbvtSLx6bHrtPNKAc9K4/4oEt4Xtif+fxf/QHpR3Jex9U/Dj/AJJZ4U/7%20Atn/AOiEoo+HH/JLPCn/AGBbP/0QlFbGZ4j+1z/zKP8A2+/+0Ks6GiCw1dUQgC13Ak+4qt+1z/zK%20P/b7/wC0KufD1n1Xw/4junXCCJI0z3JOf6VzVl70TelK0WjnZRiQsWwmOlVnnk2qFbgLxVfWDKl9%20CASFbKgVE4uUaRJEO0YAI9/8/pXHUg3K51xqpRsWJbsuu2U/KylS3pxWzryj/hC9AuMbWeF8n1+c%201zTW80xIjUlSvyn9M1qeJNQLWtlYRsGFnbrGFH94/M36mtKUGtyJ1LirqcgTZ6DbVG51d45hG7cH%20n9ao2zzTXQhU/v2XO2qV1MqyzQXnyyAbCO4xUui7lutobdvqb3KgSOD2P1qyTnaT+Nc5p5iNzb+X%20MGAYAgd66KdTGOmATxXXh4uKOapLmEYDik5FRhifw4pvnfvCg5IrqMSRnHU0gkABqIncwB4zUczG%20EZYcdqALQkxxnqKsLnyWkzhFP51ireq8qxL95mxWjqsyR7LaJuFUFsHvRuAsl6ij1rEu9Xe3mOIy%20eafJOvIz9Kx7u5RpGGeRUyGh9x4juQxKoQKy5/Fuot/qyEx6imXdzEFG1g2R2rIkjMknIIz2qPUd%207F8+JNSfrOM/Sqz6rfTNt85ju7A1YttG8+MPvAwcEeo9a2tP0bToADPuL8FTn3FZyqRQuZnOJJes%20NwlfnryeKkgsr27YYMmCcZzXdW+nadAJFdcl0wx9BitCK2haLaqKHjC9B14rndddAV2cbDo9zAxt%20yzMz4O/0FXJdKnglcg/IoK5+v/666/8Asy4XdPHAzbQOcU5tJneyleeJhGyhicdMGsXVuzsoxfU8%20+s7a4mnWEE43kA+vNesa5a2l14b0220+UExKFwv8IA6H6k1zVlpDx3qyWkRAZGO5uR6V1FpAY4lx%20EW2rzjtRKr2NlSW7MbQYI4Hmhuoy1wo69gK347eVJUSFML0Xj3qTRYI7id5J7ZlGQC/qP8muos4d%20OE8zPKsZhO5GY8Y9KwlOTZtFRSI9G0n+wtVjnv8ADzXkbKVIzszxmsXxN4Ykh8P3GoWjiaJpgm5R%200Izz+dap163tb+SXPnAnbljnH0qNtQjvtwkl/wBEHJjB4znP9av2iRn7OV7nlaX934fmAZCqORgn%20t610Fr4ntPJiWV/3zdT/AFrdvND0e+iMDBnC5IO7kZOapReF7C2gUrHlUPGeTz1qZTgzWMZIZ/wl%20tvZxuHkMnyYBB6EVnWniWK8kmaaF5XbgNnoK2J9ItpmZVRCu7cOPwq9b6fbWkGIYUDEcgryay50i%20+TUxo9ReRcx2xTJwR6itmJIWX5gNwAIpjQOSE8seYq9FGKtjTy8oboBjIFZudzVRsVWhjebJTB6Y%20Hepo7GEFnCYLcc1d/cxvhvmfqAPSlDKdwUjA7VDkVYSKKCIgOM5GMelTiUMn7ldu3j61AVVl3Lzg%20/lU0UYEYYdDUNjPPPjVk+DbMnr9vT/0XJXGfDFwn9p7hnPlf+z13HxuQJ4Js/X+0E/8ARclcN8Mz%20j+0/+2X/ALPXt4P+AePif94O/AR1JBxTTG3Ygj61HkYpEYhjzW5A8bvukGkZtikYxinecwNHmrLk%20OKAW5BfNm1j9xUWnZe3kjJ7cVcl8naiS9McVGkKxFTE2OalFtGYbF5bsJg/ezV8wiO5CRn5h1q4H%20Vd/kkF81Xjt2W6M79+vNVfQw5PeJdZtyJkc9GQVX+c26+X1XrV66u4rlAj8leBUKvCinHWlzaF8j%20uPNw4jEbn5cg4ra8ESK/i6Q/x/ZWOfwrm7psruHpW58Pgx8SyHGW+yPgVxZhb6rJlx0kkWPGBkju%20HujuysWBiubh1O/hhlW2lk3SQ7U56e9dj45stRfSoJrGAudwWRfasy30mdJ0L2zAGMA8dqijiaPI%20rsqblfQj8KaxqU1iglbLKShYnrXTvqFy+jrJEDuLbWrI0PS5baZopI2EfmEr8tbc63NvbmFISVbn%20pRLE0b/EVGTaMTSLWR/GBnkGcQSKT/wA1ysGiw/M+0ZJrsNOe9h8QwKYWELpKZGx0whxWDBkxFx0%207VOHqxniZuLvov1MnHQzLqzjgtpAo27hjitG0tY7LRo1DZkcZNQ3UbTRMM8EdKht7lZZJFQ/cXbj%203r1baGTdmUicbqZJxDn2p7EDNMlOUwKzZrHcpbe9W7M4ib61AV21NZg7H+tI1aLI74qSUf6Eue5q%20IHtU0p/0BP8AeNVE5quxVKgj3pQtIGBp27irOUDxTUbLHPanjnrQEw+4dKYajhhhzSoCJM+gpN2K%20fGcsPfipBN3NOVvLSItycZqdUEjxsOOaqXLFnX0UYqWCUqiE/wB4Cn0LIJTmVtx5J5pm4kACpbiN%20fOY54zViKGMKCaroWtiFIGOCatJAqmhmVU4pN5Cg0DIZsB2B65rj/icxPhe1B/5+1/8AQHrr8CS5%20O7sa5L4pbT4bttvT7Yo/8cepW5Etj6q+HH/JLPCn/YFs/wD0QlFHw4/5JZ4U/wCwLZ/+iEorYzPE%20f2uf+ZR/7ff/AGhVvTtT0zSNIS3srpI7e8VUKlvmJB5NVP2uf+ZR/wC33/2hXWW3wI06Nojc6hKy%20IOPn6fSs6ivYuJz2uX/hKPS4xCsj3MgJBLA7T0rE/tWyvLG4MEZYqoBHcEV6SnwW8PLL+8vpGPQB%20nHWtW1+GXhmziMYnwWPzYYc1m43RadjxfV9Zs7LQ41tomjlA5DfezVW61PTrcWMsUTS7oleRjz85%20HP4V7rN8NPDN0/79lO1dvUfnWVr3hXwdpGl7QqySKCEVcE5ppWQ92fOlxqksWpLdo6qVJwR2pLaG%2041rUzNcqdjtlmA6mt7XbS1tta3rDGYckumOlW9Pura403ykVY88gqMVaswJbPQLHTrUS+cnngZCE%208im6hNMtmjBQQckNjgUkhV0VJXHmc7T61kya+ltM1pdqzJ2NWmkS03sVU1u4F/s2Ar7CtSOUlxKi%20845rm9Ruo475ZLQbhyartrd2RiMbaakLlZ0shZmLFtoHJz2qC81i2/s97eRtzkYVlPQ1zM99dzA7%20nxkc4NRRWcs3zEknsPWk5DSN7T9XtzdG5kXyxGmAG7mq8/iBZrghTnf39KqHSpHi3ygqrHp6Utrp%20Q85cDJ9PWs/aJFNFee+mmaTyzjnArR0PSknaaXUCzfIyRqp5LEHBq1pmiGSWUSRkbW4yOoro7DTQ%20WVYkMgHdBzntXNUrPoTbocvJ4SWK4kVG3qGwjdjUMvh2VLg+Wm6NejY4Nd1Z6RqLzRrJZzeU5PO3%207oqT7FPBp3kT20iZbByvI5rn9tJblKnJnnTLLbS7ChAXg49K6vw9otx4iYW9lbs7AruYD7oJ4/lW%20hNoMEkSiXks4yR3HpW7pELaOrtZSNFhcl0ONwHNJ1UzeGHkza074Pz+SZL2ZVEmQVPUAdK3ofBWh%20aVEPtcymdTyN3WsOHxBqMlq3mXUmCv8AE3NUobx71vMd5W5I/eHk44zWUp32OiGHs9Trl1PSYUa3%20trZW2jqQDml8T2MT6TYWoiSOacN5iKMFVII5rlY2MYkeDBIGOfXjH61YutQku28+4lk+0suw88Ac%20dKUZKzN3Td0kce94miu9tMHdUXCkevX+dZVzr1/F+/teY2O1uOBmuwe3tS0xuI1cquFLD7xFPi0+%201FukZt1IPO0L09zTjNLccoN6HEN4lvrKJTDICufmXvVb+1L+/PFwU3gk8+9dofDVnfxtK8YQH5AA%20MYJPFQw+Dbe0c/vA3OeTx9Kr2kBezlaxxiandiYIzllVsHHeuk0fU7ouyLbyOjYOccY71uJ4btQ0%20haEBWOM4/WtSzso7YKqxhUAxkCsZ1Is2jTaIYULOxC4DMB05AxQYJupyUPPFX8Dy1CgDb39aA2zC%20lW55ArnubbFKCIzIShHB59sVOts7HcTkqeCO1TxRjdIVGxDg4qTygkgG7hsf1pXAh2uGH3SepIpS%20zISBnk8mrOVhbOwsSOBilWSMsd68DnOKVxFSG2LSF2Hbbk9hnNSymKPCIh3N3q2xDp8pAyeg9KaY%20UTLkg9gKVx2K0EQ3MVBIJqRI3TLlgBngVaMQKFR8vHaonTb8oye/NK4rHnPxwyPBlmD/AM/6H/yH%20JXBfDfOdRx/0y/8AZ67n42IR4Os2Zsn7cnHp+7krhvhwcf2l/wBsv/Z69zB/wDx8T/vB3Dkqfamh%20tx4pzHdgGkC7DXQQGTyKYsuG2HrTm56U1E/fZNAupJqC5t4WzzVRGbHXtVy+H/EvQ+jVQibOfpWZ%200JaCJKVbKnmr6u0sI3GsxPvH2NW7VysZz0oLcUTEbQD3qRXxGfpTWwVWlbG3FArCE+ZDz2q3oN/N%20pOtRXNtwSCv4VSUE8D1qxBFuuoVzgZNTOMakHGXUykrO53WofEJ4rYCKNZJCcYwKr33xAltbLf8A%20J5jR5Vdo6+lc2dKKOSxyQcioJNGa7nDuCQOBXDHAUYvUfvM2NN+IupXMdp5qqryH5htFS33xIvov%20EsmnxoNirwdo61haV4dlGqieZsRA/KPSreqWUC6sZgo3vwDVPA0G7CtJI0dV8aaxbW8eUUCZih+U%20dCKpQRgW4HtWXeTs7pHMchZBtrU3fMFH92uqjh6dHWCMncaUG1jXPWDg3l0R/eaukA/dkGue09FD%20XjDn943866uhEiJh1+tMYHBqRiD+dD8RnHXFYm0CowyM1PZsfLYY71Erfu6mtv8AVn1zTRsywoGQ%20alucCyX/AHjUK53CpbvP9nr/ALxq47nNV2KikA4p/GKrGTkU7zcVqclywOlGeMVXEpp/mUguTY4q%20e3AMyD3qsr5FWbP/AI+VPpzUCW5edNzkmq8Bl/tTB/1LKMexzU+/c/tQi/6Uqjpuzn2plsr3Mv8A%20pMg7BqswFigqnKMzsT/eNX4WGwYqlsWtiRY8xkntQT0qVmCW/wBTVQyZbP4UARSyFZDt6k1x/wAR%20iT4Zgz/z+L/6A9dTK2LjmuX+I+P+EYg/6/F/9AehLUhn1l8OP+SWeFP+wLZ/+iEoo+HH/JLPCn/Y%20Fs//AEQlFaEHiP7XP/Mo/wDb7/7QrbPiLU5F2G6lx67qxP2uf+ZR/wC33/2hVrjGR0rKo7HTQSd7%20lsaxfibLXUhwcj5qa+q3pY/6TITnP3qqqO7VGRlyMYzzWVzp5UXBq2oZJ+1SZPH3qr3MzTyhpXZz%2071GTheKRjhj79KLj5UcL4xn+z3064yzgHjtxXO6bcXDKVbckYH3h2rqfE6W7awWnLZMajaBWN5P2%20lTDDmOLPLdCaTqdDLkuyrdao++A2+9yvLZqqZLq4kDTQKcccjmulstFMduzbAUyQGPXFWjo6pblg%20xLHofWs3UL5LanFvFcSI4SPDE4GBUcdjeRuVljbOeeOldlDpbrA+AfMU5X+dSwaZeGZBIjSKxALA%20Z4oVUiyehyJsJUQFlAya3NL0h2kif5RjnBNdpp3gDUdSs1ZoUEbSn5mOCBmuq0z4a28WpJ9vuzGF%20i3FARzzROq2g5UedyQWOTHcSDfuyMHg1oWXhObUNcaPTYG8tGBRmXqDXe6l4R8LQqL3eHZRzHgYz%20SxeOLOxuo4tDtFacw4bzFwAO9c97bsfstNB1r8LZI7qFbyRY4dnzMp5JrXl0fw54ehKJJGXADJgj%20JIOTmuM1r4izyiONrmVZyDlI+Rn0qnHC9+PNnkYuQeT6H0pSnGKNaeHbOj13xzCloYrGCNc8ZA5r%20mTLqmruhmC5zyF9K0H0ayNsrR7pZWfDbx0GMfzxUWoaq2mXSDTbYszLgsR07Vg6ilsdMaSi9RH0r%207NbrNOrBcljkdKrQ3tqY3tl5yuVP9Kp69qep6lJHbtL9ngb75U81Yt9MsvsTlJHDJGFDAdT61Nu5%20pddCeyuraVsFgT91Vb0FOdg1xFJCCqLwAB1qsmiLCGuEYkqQQT15qQW032dIllbO7IYdcHrSY9S9%20DbNNFtV9oZsHnn1p6hWmDNtaToFHY4//AFVLaW5a2SSRisvUgUNBhmKKFd8kEVm5GiTGy2SSOHZf%20mXOQBxxzRHCxO+Mkb8Bge1SRPMANxHoeamX5c4Y4YYH19anmK5SDY8jbUAEWfmIqV4U6MflByT3q%20FopjcKVYoka8Afx/WrUNtnd5p+ULwaVyrESOTGCvzKOBn0p0bPM2VXCjgg1YigSKIDHAHOe9SRyK%20cgLgYwMCouFxn2dNo5471VWO8aVj8vlo+FJ6kVpsqKo3YyT0prFRCNv0p3AaYFzhemM896eI49m4%20jkdBUcYkfbuOCD0qwdsbZznjn2pCsZ8wlEkgXO0Dg96qwLJI21i239c1s7cZZm+XHbvS+Wq5bAHP%205mncCCG3dF3PjpjBp7JGASSSc/lTpZgo9cHk1VaUKokB4bqKW4E8kpV8k8H1qrcXDmMKnU9/So2d%207hizjamflA71HJMsNuxAJwcEGnYRwfxoU/8ACEWjMfm/tBM/9+5K4j4bjJ1L/tl/7PXWfF+4MnhO%202QnI+3I3/jklcl8Nzg6jj/pl/wCz17mD/gHjYr/eDumXFNY5xQzUKcityBp4WlyMZ704D1qN+2KB%20okuTu0pvZqzF4z9K05Ru0yX2YGs1WGGrM6VsNB5+tWLfqymqqc8+9W4PvnHpQUPyQw54qbO4CoWF%20OQcjFICeIYYU25ufs1xbHBOZMHH1pVJByabdSItxCHGd3zChdjGqdPckPcAxnjAq0s0MUeXOGAzi%20uKfxIxvFKK2xTyMdai1HXZ7mEm1Q72ODnjAqGncqMrROsu9WVoS0OFA4BrH1G+SYI/mgOvvXP2mo%203Nzoy2rr+9WRizetMfT55JFZnb6VrGKRi3JjYZri41gb2JQTADmuzk+V8iuJtobmPVrdH+VWk3Z9%20a7aRt77R2HNbNIyjfqSEMYWx6Vz1gpiiug3UytXQAnYaxMBY5/eQ1PQfUrZByfemluv0p3T86aw+%20VvasjaJAv3as2w/c596rLwPrVqD5YuaaNWTRkeYPrUl43+gD/eNQKwzT7skWKqeuaqO5y1djO4zQ%20WpAMmkYVqcdiQDNBNM5AFOpiJASFq/ppy7E/3az1NaNgv7mQ/hUscNy3s6AdDVm3H+kLmoYiVXnr%20TLecvqLDoFpM1exEUzK31NToT91RSBMyEn1qwigDNOOw1sMlVhGuT3qAkBs9BU1xKERc8msma5LZ%20FWhjpZR5vJrm/iFIJPC0GO14v/oD1rM2WyawvHP/ACKkB/6fF/8AQHo6mbPrz4cf8ks8Kf8AYFs/%20/RCUUfDj/klnhT/sC2f/AKISiqJPEf2uf+ZR/wC33/2hU+7gDPaoP2uf+ZR/7ff/AGhVlgD0HasK%20z2OzDK9xjN1oZsN+FDKBk+1DYyM9xWSOnQiLEKM+tE77UBPNMlO4gUzUJ0iswz4AAyaS3B7HPa7b%20xz6ksjsRhRnApbTTkuGYxxMxVd3yjORXZWcPhf8As9Lu/uvMdVBdCvU//q4qXU/HHhrSdLEug6dG%20k2QAmeozzWU4NsiNTQwLDQtVuw0FtA21ucsMYB6V0mn/AA31W8At5j5e1hk56D2rlb/4l6w0L/Y4%20xBvIYyKR0Hauv8M/EDWdV0FSinz4/lec8GlyKO45c0tEb9r8ONP0+JJNRv2ZuVJYD5qfKnh7TjHF%20bMWaIY2quQfeuO1jxLfXd2/2iVpfs+W2dOoqXRpI2kg/ffNPne3XC9xUSlFBGizqpPGNpDYLBb26%20CQdQO/YGubv9VvbyV51LbsbAR2FXJrHTLhg1ptVI2AkfPXFU7nVLRmeCyXy2kOB6ACsHLmOqEOVa%20oxDLNNb/ALzcCrBs1d023t5ofPZcTOTyP7vSnyTxvdBYgF2dcd8jrSXDLaWxFoQpC5wPesmzaMFa%205XaHTEmPk2iSOPl3t2OOtWrOTzZo44YxhcgnsvvWNLIUSRhkhTnPpzWppl9HbCcygCLywF9yTyaH%20ewKyZuXNxb2tv8mCydRVO8uljZQsSkLyDWZcz/a5gYhtbKvu9vWnfaoGJO0E/d3E9TU2saLUZdRw%203kbSywhShOf9of8A66S3hEVmsUbZ38Y9BVKfVJy7QNF+7xw+f0q1bCVnVQCckYHrQ721BRiXjMNw%20UZwDjp1qQWhKHY+w54I7ClWxlDqxbaoHIq5HE0cZMQ3lgevas3IvlQiQnyQPM5GCW9cUqMfMB2/K%205wParKQJHCPkwD1OfanBUSENgMdvPtWbZWhXlsvMjV04IzkUG2ZBmQ5GOlXFbK8tnApkqlCCWwM5%20K+tFwKbZ2q7ZHOcY6j/P86kNyg3sAcHjGKtSmNsM3KnoPWoJYDK4VG2KDzx1piGNdRsNpO446elQ%20fbSluNgA5yT3AqcabtYuxPJOakj02L5WK/KQAc+3NPQkqyTSSKhKfNkHA7VIsM52yE7Vyeh61fja%20FjJGicjjOKjjTChWPAP3fSpGSIgypLbu9KwWSIj+E9ajJWFju65P/wCqmiYPAwQY96QDHD7SkeGX%20Hr0pB5m9dzkjvTnlSENtGX4P6VXLvJJkjbz19aEhFhkDowV/wqHyV3jzWzgcCnJGEVxGctnJNCoO%20WPJ709gFCAAtu5zxVe4h85CueeualYE4A7mnFAO+KLgeYfGK2MPhO2faMNfpz/2zk4rjvh0cDUv+%202X/s9d58az/xRFmPTUI/x/dyVwXw74XUj/1y/wDZ69zB/wAA8bFf7wdyF3LSJwaiikZs1KfWugzH%205xTW5pGNIp/WgpEijOm3I74zWXH3HrWrEP8ARZx6pWVD/rBnpWbOiOwijbkVbtceYc+lVf4zj1qa%20JisoI6Uii6yAL700H5TgUqk9aC3YetADlDMMVBdSYa2bbnBIqRZDl/Y014/NVc8bHoiTJXGeTGXb%20dj2pLl4obcvgddpFRXscjIVhkG4tjNR3ts02mmIt8/XPvVGasWLZYxGrRgKgP86ulcAVjRTPZ2Vn%20C6li74atpuGGKiTLjYhvFUz2xYZYNxWxGu+XgduayLtt09vns9bcEiB/wrWLujmnoxJdy5zWNwbe%20Yn/noa2pJlMbEjIzWEgYQTORwZGp9CFuQEciiQfujiml+RilkfMJrM3iQo3IBq0gBiBqmGAfmpTI%20wjG2mjSTJx/rAFpLyUvvTH3cVHDISdx5x1p9wd0cjBfTmrSOOpIqDgCkOcUA560hPPFWYDyPlFGc%20ZpC3AozmqRI5TyK19PbbZsx7tWQOK1oB/oKe+TSYQNBdr4I6VHBEqXTYOScmoFkKMAKS3lcXMpfp%20tO2pZr0LYxsD+9RPcjBFU/tDuoHvSE8c00JMSeUt9KoSc1blPAqq5HNWgbIcYOKxPHIx4Vh/6/F/%209Aet0KWbA61j+PIWj8IW7MMZvV/9AejqQfXHw4/5JZ4U/wCwLZ/+iEoo+HH/ACSzwp/2BbP/ANEJ%20RVAeI/tc/wDMo/8Ab7/7Qps2olImaGB3bqBg96d+1z/zKP8A2+/+0K3brXrhGcbYg6nj92PXiuLF%20T5eU9DBx5ub5HLR393cShGs2QuMgk0MuptL/AKkr823r19/0rduL+S4xJPGquDkEACq82pI7xKpG%205hn8q4/bM7vZLqUY9PvDG7tLtGSEGOtF14J1fUdPPn3JVThkXH3h0rR843DRpGuTuGMeorqtPlne%20CQ3RwVjAx+gqPbNO4OlpoeczeA7+1W2WSfiTJC+g9ax28LzJd+XcEum8LyMcZr0iV83Pn3SsAy+X%201/EYqhq9x5vykqvz4UgfdFV7eTEqKONsPCwlJF1J+4XIVMde39K6HTjPZ272VoNsSoNgHY+tWbdY%205LbzUbII+U+oNOtVFo8khPznjPpWUqjZrGmkUHBhnb7V96QHPHUmmwRDTrGKOBGCFvmGepNXXdrj%20bLNhgucHHrV43UJt/JMeHIzuPr61DkXyooQxsqSgZEUzZIz19qtLpiy28YYYSJSoOfWkS4jgiZZh%20znZu/ve9H2lUO9icKp+XPWpuxiQaQgYvC2QR37VBaaa9yt1Ij+Yyp0z0A7Ul1q1wYCFXy02Eb/Qn%20/JrIs7yawU3EW5myS3PAJpoiTZfeN4v3jR4UDaSagnjiEYeQ5AHygGo5by71RopcYByr4HXmpxpa%204UljsVdrg+p4ouVYgF6PJ2+YUbHBAz9BTrfTJLyJdrEDPJ9a2rawWH+FQAccjNT2sZFzLsjxGDg+%205qXItIhXSYo4s3A/dKMn6Vdt5rYYaHnKenTFSyRSyYh24TGf/rVLBpikHHI6Y/DFZN3KG7vOIkT/%20AFO3FPAwfk/D2FSeR5Ak3HaCct9cVDHLvkZkO1OAM96kY6Vn+zkOeOuKW3FuwBDZyMlfeoJUeS4B%20zwBjFOt7bzPMI4WPG73p9AJixV9kS5CHAPqKRo52Ufwtkn/CrW5wyJsyAeanwSw4xzipuMoW0Eiq%203mPz24qfyyG3Pzg8e9SMsMdx5efnPzYqKVpZNpThWPP0FIRM06KdvRyM7arzTTOozwp7eopGSJ2b%20b1HvSHcLcDbgAYzTETgqqrsxzSbsMQ3aq7AAqeRkc+1VxlmVFY7cnigC48qswR3BC9sdarRsdmyM%20cE8/5/Ko/KMkoO7oNuKlCPGCzDaMj9OKAJPKy+fXk0yaSJivyZYnI9qkScsXBGF7H1qEy+XIMgY6%20ZpiIovNMxP8AB2HpT1yTiQ5/wpzy/N+769PrUbkomH5IOSKAJtgDAtwexqF5VUhCcnoDinbWmUf3%20QcmrGxFVcYIXvSA8z+NUe3wTZsGz/wATBB/5Dkrhfhzz/aQ9fK/9nrvPjWc+CbXJ/wCYimB/2zkr%20hPhx01L/ALZf+z17uD/3c8bFf7wdqFCdKeCAvNIB8xzSP1xXQQIcHNNxTioo24pMdyW0OTIp7oay%20dpDcVr2o/fN/umszG1j9ag6IbEcYw3PWpkH7xfSoj/rOKkX74oKLvTAFNI+YGlAOMg9qUrjBoAEG%20A+fXNNYuq5XpvGc07OWb6VHJJsVlb1BpCJj5Y+YD+LkU4MjuV29BmowM4NPj2qzE9MUIj3SNjE3l%20jYCQeOOlWXbC+9UMhQCeueKtSOAAc0ctxppIoGYy3UCNwd+a6CI7TlvpXPqsY1G3JbJXmtu3cy3D%20IWGM8ZNbJaHJN3ZNcMBEV9azY+NNkBOcua1Z4Ssb55K1kQlF0uUucfOST6c07EJ6lP7uPagn90Sa%20rJqNrNMIo5QW+tQXesW1s7QzNhwajkZ0qSLTcninNnyx6VTs9Qt71ikT/NnFaqwkwgnpS5WmOT0E%20t0AhOR1NJIxMEwHQEYq88Pl2iAAZxk1mRuHWVc5JPStUcE3qRqRxmnZFRgEHkU4ngcUCuBOTQvpS%207eQaQ/f4pogcB8wrXUYtolH90VkDnOa2CANi99o4plRVhh+/ShyJGA5+U0mMfnTQcO3sppDIY84/%20Gnn1NRo2KGJbvQAkp70lvbG5mCDv1pHU4AHNaNlGLdPMY4OKLgWF0+KAZxuIrkfiaf8AilrYf9Pi%208f8AAHrp59RCriPnPWuP+IUpl8MQk/8AP4v/AKA9Cu2B9a/Dj/klnhT/ALAtn/6ISij4cf8AJLPC%20n/YFs/8A0QlFaCPEf2uf+ZR/7ff/AGhVmW0/ehnkzVb9rn/mUf8At9/9oVM0js4jI34PykfpXm47%207Pz/AEPUy/7Xy/UgliEudkuAfekmszLJvX7pUAgd/pUzxpgDeoLEjFTWzRp0bcMda809Ms6VZJax%20iUZBU/LuOcitGS6abGzILHHHeqCyrFaM27eI0J2jqTVSO8eRI5mYRsuSVPb0pWbG7WNOeCRowkvB%20jO4A9qqG3DTorclmzntioDfQy3bFZWZpBktu4B9KsDULeKBnd13LwfrT1JKjRRyTuYpRs3MAo/nU%20swaztjM8ZbHb1zVa51ixsmEisrjpsXrzWBqPiS6vppLaNCscS7t+OCDVqNxOR0El+JioVQYwOo9R%20zTL3WIrKz3Im6dzwPU9TXOQTyrYptDbnYc+nqatRmS5YoU5UkqSKGhXuX7fUPtdqLlhtLsTtNNlu%20ZnQLAuSRktilgtVDAggAY2p6cc5q+tiZgYUQqQMBh0IqbotLQz4dPe6YMXJ2jpng1cgsJgslq0fy%20M+4MR1zzWhaW0dlGhMyNIeCPUD/69I0j+djDbeB9KhyGkh0dulvCVUKAOWOOlMl34cRAED5sY6mt%20EWZV1ZjlX4f0xirKRKgIQKRwQcdqjmKSMe3sGml2XbspfsDitSKGKLCRPkj5iPXio7opH87ZAVsf%20Sq99eqiERMokUgMR6UbgXllUSmR8koMYzU0V0Jo5GjjYYHTPWs21t3k3DfxjvVyOYWkohaJjuB/e%20D7q8cZqbagJE0s8jyP8AJjjY3elMWYVlWNt/90VQjaaO4aS5lADOSo9PrW9bRO6hiRyOvakxoz4Y%208qSqtu6bSeRmrLW6xxAvlSDzz1qV5FSRkjALY5YdqiHz43kse9SBJEsHO1+T15pJpSq7t2B2qFYi%20kzN+noKgvZ1t3USc7iOR09qdgLHmFvnA2sAck/SmSzAq21sNjkelVnuRJEyg4CnGfWmbl3SMSN23%20getOwiaOVHjSRzgE/nUsUhfoeACKz45lLRhkJHoO1WJmKx4i4J6H1osFy1cMqxqisCWNQxp3U57U%20katKPnBVh0JqWP5B+8HGcLjvQBIqCNQSMlT+tR+YWix1GefamB/mYOTjOV96rtK0rbWBjXHWgQsk%20owzE4wvPtTVjNxDubIyPzFPjt1YbTnGec96ndBGuwgkYONtMCphxKqKMY5B9aV7fe/71icHIwalh%20hkGPOdcseD6CpZFG/avIzSEABWMDt0NOGduTwO3vRH+7jx1x1Y9KbKFJB8wbQvA96Qzzr42jPgqz%20J/6CCD/yHJXB/DgZ/tL/ALZf+z13PxpYv4Hs2/6iCA/9+5K4X4cnA1L/ALZf+z17uD/3c8bFf7wd%200zY5qOTnpTwcrSngciuggjAJUetMMh5HpUij5j6VEVwrE96QFqxcNMPpWbKMXEi+/FXbJfLmBPrV%20a6XbdP8AU1LN6exXX/WVJjFRkbSD61L1NI1sWVJCjFPBP3fWhEwuRQrFSSam4rCqv7w/SoLjBjdj%201XmplPz59RTSmY2JHBJzVJmc9EYa6tNJc7AuFom1OflYx90ZNNlAiuCBg59ulQhZThByW4PFbxir%20HC6juTw3V1KV3DtUb3V8ZlXB245q5kWsKlhknqKsQspZVYfeHFPlQvaMyFW7eUYzvAwPzqa/vrux%20WJg53swFbUVvj5wuZM8Vma5aZjiZxht1CFzG9aaxmyX7Qcs685rF1mWR/C9ybbg7j0rRh0YXUMLo%203O2tCXRANPNt1HORQ9GPc8esbe7FwkiFg2c1oX9jNfXjTODngGu0TQSkoyuFU+lXbnSoVX7mBWl0%20LVHEaNpstpqEUuTgPyPWvQIGi+XzemeRVWz0pXkGF4Bzmr8tuI1wOuOah2NFJjb24je3PknB6D6V%20nWtg43uB1qy2UBfsKuW8v+jKw4ZuaRDV2ZRgl5ytCwSHOVrUckYOR+VMNwy9FqQ5SlFas8RyORUE%20kJRvetqGdc4K4z1pk1oJW3Iwwe1FxOJmW1sZJlB6E1r3luFuEcHHYiktbNopV3HGD1qPfcXN1cJN%20EyhG+VvWi4khZIShyORTFXKSH/ZNWHSZV6ZWi3iJWXeMAjincTRkrk9KnSE8Gpo7dUapG+78tBJE%20QiLz1qCWYsfQYokByc03B/SqQMrlju4rB8en/imYfT7Wv/oD1v4xWB4+/wCRahH/AE9r/wCgPTEt%20T66+HH/JLPCn/YFs/wD0QlFHw4/5JZ4U/wCwLZ/+iEoqhniP7XP/ADKP/b7/AO0KW0mMyb1ZQVIp%20P2uf+ZR/7ff/AGhVEWrw25xJgsOQD0Ga83HK/L8/0PTy/wC18v1LbyJBunuPnxztXtmqc9+8l1Gl%20uhVGXJ47Ht9afE0BYxEu5wMlulQajbypsNsRuZs8dhivPSPSYlxqf2NfMkb7wxgd6yLjUJ5rmXyd%204AAzVpLe3Ri9w7SFAMK/Qd6WfU4b+cGCKOIqCDgYBH+RWiiZuTK1rPcxQJHErMGJ57iq93a6hcDa%20ZtrMNxwf4qbLqLbjsfZhQq7D3q/Gk5j86IM7yHCA9Bx3p6BuQwWixFFlfewwXJPtUj3UUE8iCFmy%20QFAHUU+10u9F3JNdsh3ZwiHjBrai0rCJIqKWHG5vSpcrFJGRaW95eyY2eVFktyMYHYV0enWDQr84%203ZHPsKsRNBHCpLDcp5HrxUkL+aRGr4A5JB5IrOTuaImt4IIC8lxt68UJcTSSOIQuzBwQOgqNrcHc%208jMygkAH09atRDMLLAFAxgkeuKzGVXXzp44Ao3L1wOavWEEMc7NK+4ufuk9KprBKJBPFnzcFefWp%20oIJNkkz8tnhR2PTH0pMZLqV60d0vkKTD39zSi8EhiK/Lu42+5okspRGWkZSvTAPQ0y2s8SRuNxPX%20nt2qegxbqJmdlJOSASD0zVaSxYCSTAZs9K0WjdrwSDJVRgg96IYpTM55Cg559aFIGUtJa6F04mwF%20boPStKYAoAHDE53Y7UsduFk83djGciniOMwuqj5mOSfWpbAqjTPNtGDkliO/apJL/wAi0WKM4OAM%20mkmumdmEW4EH9KjktNyxkEYzl8+lAFm0LKrGQgu3PFR2c3LNKdrZPWoXuvLkEcQ5Xkk+mKoG88yV%20o+A+RtPY07XHc1bqTEjsGwjJgn0rOml3QRo53kHHHWobqSSSURgkIq/N70+GLCxhuT1OOop2sITY%20/mtHtOxhkn0NSWtvJIQzHBQd+9TjMauR8x6AHvVpFkCK+1QTxilcCP7M624aILkpwT2qSztzFEBM%20cqvQn1/yakecQRcgsM/dHeoRcpueN2Uk4wuen+c0txFnz0CjOCM4JqtcSbeAfeoYI5GmKt/q1Oc+%20pp8ysH3ABhj9KBgZBIAQOVOM+opPILMZHzgDAHtRI3lxBsKAxwBTw7tNh/ucEYoAQSEfdBPcU4sx%20RTySOv0p7YB+XA9KY5YqSv3e9IBqnzUY8gA8Zp6xhXXc+R3warTtJlFiHHRqtIiKoY7iR1FMB0ki%20xxtkZX2qMx+ZGCRjPTFSptZsEce9WCFAIxxipuB5f8bE8vwPZrj/AJiKc/8AbOSuD+HIyup/9sv/%20AGeu/wDjih/4QmzfPynUUwP+2clcB8Nzg6l/2y/9nr3sF/u54uK/3g7fGFp5OV5pmeadmuggZ0bm%20jHc9KVhxSKc8HpQAi/KM+9Nvoz9oEg+661MoUvg9Kkx5ymJug+6ahm1N2M6O2adTs6rRsdG2uKt2%208ckE7L0GKkdS2GbFKxbnYjB/dhe9JsITmlALOMY4q4tvvAG4c+9TZi51YpEYYY6YqwkRlTA+7/On%20NGiArnJBp1q2JCpIwx4rRR0MXO5y19IFuZSEOVbFLajfe46KFya076x2RTSyLk5JrMsN0iyTdA3F%20bJ6HJKOpdaInOcH0q5Z2mWXIye3tRY25dVJGc1srGsUYVPvVLY4xCGFII/mwWPf0rN1+BZ40wMbC%20DWhGGLYkORVDXW8u3BBwMgUo3G4FvTj5Vko7kcVfhb92dxy1Ztu+II/pxVxHC3QHqOabV2VHYSQD%20DMw4xVK4lDIVxxV+4H7tyayrgYIbtmnqBNbzeXbnHBJwKHkZpSDzUSLv6dBzToiTKCe4piCSPEDk%2085FJtIWMdttPAJY56ZqWSM7xjpjipHFDEj3ctSOhGNoqwUb5RjpyaUlWYE8Y7UiyjtYsaDvHzITg%20GrZA2nFMKhflHfmgRLZzmU7XHIGa0EZXchl7cmqNkpeV9o521prGF+U9xTMmVlmxLtK/JVO4lzI+%203gCrN7iOQAcZNZrnl/rTsS9hsZ3Mc08kbaYvyj60mTg0zNEEhzmo16HPpTyOaaR1xTQ2QgZOK5/x%208MeGYP8Ar7X/ANAeukQfN+Fc58QDnw1B/wBfa/8AoD0wR9c/Dj/klnhT/sC2f/ohKKPhx/ySzwp/%202BbP/wBEJRVAeI/tc/8AMo/9vv8A7QrBhu52QpHh/Uueo6/1re/a5/5lH/t9/wDaFYj6ReSReXb8%20Yxzn868/GO3L8z0sD9r5fqMjnbdIFUllGWIHT1NVLrUJX2LC7cD7w/StFNJv7dJ0WTb5yeWSD2NW%20NM0SKONS7F1QYO4dx3rz7o9LUwLzTru4hZFkk3u3ylfr3qax8L3ZMSzOUVAMlT971zXYJNp9upKO%20GZTlgvPNEuoR7iEUBCOCO5o52K12ZKaFaRTKoiVvmGcitdLLEisgWONR0FRPeI0myJAz45apIo5Z%20Y8u5yjAEetZuTLUR7pBC37tQSehIqJXmkXavC4O2rQthIyLknDZ5q2lopkBAwF4AHaocirFFNMWS%20RWcbQAPxqxaWgjlfzAFJOEIrQOG27sBVHbtTZAkjHyxkqOPc1PMOxHBbkqVY7lzjJqOVHtIJFiHO%20fl/GrNqGWNS/3sYYe9VVkle5k3MSpPAP5UBYhEsknILKYwSAv8RqxbXGJpcnBOOPU98U+C3ZWDjo%20ByKtW9jCrNLIA0g5TPai+gEqqJI1+bIbuOtTxgRnLYG3oB3pkcaRgmJcDHH1NR3TqEyGwwHzAVmU%20iyqo8hcuAq+h71E7+aQqfKgOHqKMRpY7h95huNJCC5Ic9vmFKwD3eMbimThcDiq0pkZQ+fLA4wKJ%20rlYWZU6His+5vN8ixPIUO7t3yKtIReLiC1MpHUkjPX1qrPd5iUAtlj27VQa8klWU3bbTGCqL/eFW%20o2QWiu+4PnGAOtVYVyOS4+03IeEEKBtfHqM1BDZhsCWRgd5KkduOKllfyJWKIUQgkgDrmmh2kiVU%20U4GMnHPWnsgJo5J7hU8yJVlTrjocdKsi2ldS33DkHjrU0MDsEY/Lg81YMqxMUxubPHtUNgEcKxYe%20Q5B5Ge1SCQJtZ/unOKz7/UorCJjdg7SoKgDJNQpetfwPbxIQG6ORginYCxPdRtIYo3DFuhB+6fam%20WWmYYyzFmkck5NFhpqWrKJBu8v8AiP8AFWoz/KGBwO1Jse5DJJ5YAVTg8dO9RsxZvLQdB39Kex3E%20AsRtYNTHcfLt5Y0gINhLHzsZB4A7CpVVgcjoOtRtE0jZDbeeKmD4jBOSAfzNAD/lUBiMg96jEuFZ%20SvDN2psk2dqxruDPg+1TbCuDgBM0gJI4kaMBsjnPSmxq2SGHOePeiS4yPlBwq5yKlik3oCygelIC%20Py+h6Y6e9SKHc+1MRy7lR93NThQq5Dn6UgPNPjmVHgm0RTyNRTI9P3cleefDnpqX/bL/ANnrvfjg%206yeEbVlGCNQQH/v3JXB/DcZOpD/rl/7PXv4L/dzxcV/vB2xpaNpB9qRTkk9K6SB33hTQMNQFIb61%20IU+WgBpGV460gyHBBpR8o5pNwJxSaGnYuoyzRkdHxwapyK6sA/GOlAk2NuB5WrJ231uXXh17etSG%205WGdoZe3WoLm4mVQYyeKsbSFx09RRKg4A9KpWZm20Qo7iJ3fknFMhnYyhiPutSSSOC2BwFzUMTFI%20g56Mc1VtCdbl6/ukMbJIcBhWVZLE6+TE3JNM1m0ubmSOWJjs24xTtAtQsmCvzqfmp9CJnUWsXkWq%20lh82KVGYt70hlOQMdOKXdsB9TUmkdhVUlD7VleIMyWKr33A1piXZx61R1OWJsI/bFNCbJIDugi9h%20U8gP2oY64FNhjHyAdNuakm4nyPSrCJPO+9Ex0PWs65+bI7VdjP8AovI5XNVxHvGDSBkcYxFx6U9I%20SsYf2pjYQY7Gp1JZdo6YpCGIcjn1q2+AFP0qDaDgDtUuC529CDn61JSLgKbQpHzd6ryWwPPSrwtm%20SYepWpJ7NzEkmzBxQMy/s4iYYOfWmzIOw+btVho/n3A5OeRSOUJz3oAbaDYpZep61pxsjtz1C1Qt%20iE7cN1qUcNkdelUjJ7jNQtGdkkHQc1jSnC8etb91KRZPk9uK55m3LjpVESBSSBThjaaQEDikIJoI%20In4NIACaeF+U5pqj5hQBDg+Zx2rnPH//ACLcP/X2v/oD11GMMTXM/EL/AJFqDHT7Wv8A6A9MaPrf%204cf8ks8Kf9gWz/8ARCUUfDj/AJJZ4U/7Atn/AOiEoqgPEf2uf+ZR/wC33/2hWzbQqBnG0Hke2axv%202uf+ZR/7ff8A2hXMT/FHSJYWiTUNnPD+TJ/8TXn42EpcvKr7no4KcYc3M7bHZ6ndWtkPmYM7EYX0%20rPluJJI/JRQiyDLEHp/kVxaeMfD8t2s15qxfaSRmCT/4mtKDxz4URC76x+8zwPs0v/xNef7Kp/K/%20uPQVan/MvvNZbCKyud0CYjZiXOepqzDaM8o/hXbkH3rFk8f+EmkQjVMjI3n7PLz/AOO1Zf4ieD5F%20A/tXbz/z7S8f+O+1DpVf5X9w/bUv5l95vwWsdsfMbq2Cfc1dIxIpUZ4OfbiuVj+I/g8r8+qYOf8A%20n3l5/wDHamb4m+Eh8qazx2P2WXj/AMcqHRq/yv7ilWpfzL7zp1Ro1abP31wPbirKEJChLfPtBJ9a%2045/ih4TCqi6ruXof9Gl4/wDHaqy/E7w05wupYCn5f3EvT/vml7Gr/K/uD21L+Zfed8u1YTI/8WQR%2061DHcodxQ/Kp5+tcQ3xO8MvtEup+YoPH7iUbf/Hafa/EfwjGu59Vw+P+faX1/wB2j2FT+V/cHtqX%208y+87CS489pbe3cqy8scdKjhjmbaspyf4T61ysXxH8IG6eSTWduVxn7LNz/45T3+JnhOMqINa4Bz%20/wAesv8A8RTdGr/K/uD21L+Zfed5bwleC/IOSPWpERWZpM8g4NcbF8U/BaxgNrXzH7x+yzf/ABFR%20f8LU8I7SF1naW6n7LN/8RUewq/yv7h+2pfzL7zvAwazbbjOT3rPjkQXAQDe2Oa5aL4qeDIo9g1fO%20DkH7NN/8RVM/E/wjb75INR3u56fZ5Rj3+7R7Cr/K/uD21L+ZfedpI4jjcyPgMOnpVKbUwsZI43cA%20+9cbcfEvw1NO7f2n8rcEeRL09fu0z/hYvhaRVWXUsBMkf6PLyT/wGq9hU/lf3C9vS/mX3nTXmoLB%20GTMS21cg+tQwwNdqupzsyhl/djH4/wAhisb/AIWB4Kuoi93qWJAAoX7PLyB3+7TpfiZ4UNmLddS+%20RTkD7PL1z/u1So1F9l/cL21P+ZfedAqxThZJFyVIK+9WLhJgwdHKZ5rkj8RfCoY7dVyq8gfZpeT/%20AN81bHxO8IzEfaNV4K4I+zS8f+OUnRq/yv7hqtS/mX3nQMLy6LRxNxtAz71fsITawhZG3v6muUj+%20KHg+HPlartB/6dpf/iKVfin4QCszapluy/Zpf/iKn2NX+V/cHtqX8y+87C5uSjAINx6mqsd95U0e%204YeTO72rk1+JvhLcrNq+GUYH+jS8D/vinj4jeCmZDJrP3TnP2Wbj/wAcpewq/wAr+4ftqX8y+86Z%207FtRuvPnXIGNoPtWrFEkBCBAc/KTXHp8VvB2451jbjgH7LNyP++Kc/xY8HMONZwR0/0Wbn/xyj2N%20X+V/cxe2pfzL7zrycEhjg+lRyPGqHJ4UdPWuPk+K/hHduXVtx/69pv8A4iqsvxP8JyKNur7MHkfZ%20pef/ABypVCr/ACv7mP21L+ZfedsHWQ4B4IqvKknCI2F7v71xy/EzwoJWB1f5Tj5vs0vP/jtXV+Kf%20gzZsOrcf9e03/wARVewq/wAr+4PbUv5l951Dqy+Rs+bsx9qnMgMhVFzHjiuPHxR8Fjgat0HB+zTf%20/EU8fFTwYhQJq+V7/wCizf8AxFL2FX+V/cw9tS/mX3nWQ/e/drtGasFAyEOK5D/ha3goAldZwT1H%202Wbj/wAcprfFXwYW41rj/r1m/wDiKXsKv8r+5h7al/MvvOokdo12RJ9D6VIjHy1yMc5rlB8VvBXP%20/E4+n+izf/EVFL8VPB5Q+XrPJ/6dZv8A4in7Cr/K/uD21L+ZfedzCoWNmY53UyZgyBYuw4rh4/iv%204SCqG1fGOp+zTf8AxFSr8U/BYOf7a59fss3/AMRS9hV/lf3MXtqX8y+8w/jYpXwZZg99QQ4/7ZyV%20wvw4Gf7S/wC2X/s9b/xU8aeH/Efhq3tNF1D7TMl4srL5MiYUI4zllA6sK4vwl4itdB+1/a45n8/Z%20t8pQcY3Zzkj1r2sJGUaFmrM8nETi6909D04sMYpo56Vyv/CwdK/597z/AL4T/wCKoHxB0of8u95/%203wv/AMVXRysz549zrU+Y89qdIfnAFcl/wsPSgvFveZ/3E/8Aiqb/AMLC0wkfuLz/AL4X/wCKp2Yc%208e51xAOc1CRg5rlz8QtLI/1F5/3wv/xVJ/wsDSsD/R7z/vhf/iqLMXOjqMZPNSQSGKQFOncVyQ8f%206Vn/AI97z/vhf/iqd/wsHSh0t7z/AL4X/wCKqeVjjOPU7eVBNGZYvxFUpd2zOPrXMw/EfTIjxBeY%207jYv/wAVVif4k6FJAVS0vwx7mNP/AIukoyG5R7mzJIiqV7lcVCsRlwvRVHFc1/wnWllsvBecdPkX%20/wCKp/8Awn2l/wDPC8/74X/4qtLOxnzK52SQiSxCj14qvpkBt7iXPJ3dawV+JGiqiqLa+4HP7tP/%20AIqoYPiJpMVxIzW96VY5HyJn/wBCqUmEnF9Ttd+0fN1zTJZM/WuRk+I+kP0tr3/v2n/xVMb4iaQz%205+z3uP8AcT/4qmosXMrHWCQkjPXNV9WiDxK3uOa5v/hYmkZ/49r3/vhP/iqZefEPSp4VSO3vAQf4%20kT/4qqsK6O3jUrHER/dxT39TXHp8TNHEaqba+yB2jT/4qiX4maO4+W2vvxjT/wCKo1KjJI7FGzuU%20dxVZ3ZDn8K5aP4laOjA/Zr7/AL9p/wDFUy4+JGkSt8ltege8af8AxVFmDkjqCd/BNT7zDGCO/Bri%20f+FhaWGyILz/AL4X/wCKqdviRpBQD7Ne/wDftP8A4qiwuZHZRSZcA+tW9n71WX1Gfzrgl+JGkKyk%20217wef3af/FVeX4qaEM/6JqGCP8Anmn/AMXU8rKUkelpiSQr3xgVfJCII3544ry6H4vaDHMXNpqR%20GMcRx/8AxdWG+M2glhi01LA9Yo//AIulysOZHXahamKVTHxubmq88ISZv9kZ+tcrN8YtBlkVjZ6j%20x/0yj/8Ai6gm+LWhSkn7HqAP/XJP/i6OVhzI66I5H1p03ymQx9M5FcKnxR0ZCxFtf89P3af/ABdP%20X4q6LtAe1v8APfEaf/F1aRF0dddXHmWRHestxhlFc7L8S9FZSI7a+GT3jT/4uqx+ImlFsm3vP++E%20/wDiqLMhnWnA5ozwTXJn4iaSf+Xe9/74T/4qk/4WHpO3At73r/cT/wCKosyTqSDRGM/nXKf8LC0r%20P/Hvef8AfCf/ABVOX4iaSvS3vf8AvhP/AIqizEdSw+fFcx8RBjwzBj/n7X/0B6jX4h6XuJa3vOv9%20xf8A4qsjxX4ssNd0iO1s4rhJFnEhMqqBgKw7E8807AfaHw4/5JZ4U/7Atn/6ISij4cf8ks8Kf9gW%20z/8ARCUVQw8XfD7wx47+x/8ACV6Z9v8AsW/7P/pEsWzft3fcZc52L1z0rmv+GfPhj/0LP/k/c/8A%20xyiigA/4Z8+GP/Qs/wDk/c//AByj/hnz4Y/9Cz/5P3P/AMcoooAP+GfPhj/0LP8A5P3P/wAco/4Z%208+GP/Qs/+T9z/wDHKKKAD/hnz4Y/9Cz/AOT9z/8AHKP+GfPhj/0LP/k/c/8AxyiigA/4Z8+GP/Qs%20/wDk/c//AByj/hnz4Y/9Cz/5P3P/AMcoooAP+GfPhj/0LP8A5P3P/wAco/4Z8+GP/Qs/+T9z/wDH%20KKKAD/hnz4Y/9Cz/AOT9z/8AHKP+GfPhj/0LP/k/c/8AxyiigA/4Z8+GP/Qs/wDk/c//AByj/hnz%204Y/9Cz/5P3P/AMcoooAP+GfPhj/0LP8A5P3P/wAco/4Z8+GP/Qs/+T9z/wDHKKKAD/hnz4Y/9Cz/%20AOT9z/8AHKP+GfPhj/0LP/k/c/8AxyiigA/4Z8+GP/Qs/wDk/c//AByj/hnz4Y/9Cz/5P3P/AMco%20ooAP+GfPhj/0LP8A5P3P/wAco/4Z8+GP/Qs/+T9z/wDHKKKAD/hnz4Y/9Cz/AOT9z/8AHKP+GfPh%20j/0LP/k/c/8AxyiigA/4Z8+GP/Qs/wDk/c//AByj/hnz4Y/9Cz/5P3P/AMcoooAP+GfPhj/0LP8A%205P3P/wAco/4Z8+GP/Qs/+T9z/wDHKKKAD/hnz4Y/9Cz/AOT9z/8AHKP+GfPhj/0LP/k/c/8Axyii%20gA/4Z8+GP/Qs/wDk/c//AByj/hnz4Y/9Cz/5P3P/AMcoooAP+GfPhj/0LP8A5P3P/wAco/4Z8+GP%20/Qs/+T9z/wDHKKKAD/hnz4Y/9Cz/AOT9z/8AHKP+GfPhj/0LP/k/c/8AxyiigA/4Z8+GP/Qs/wDk%20/c//AByj/hnz4Y/9Cz/5P3P/AMcoooAP+GfPhj/0LP8A5P3P/wAco/4Z8+GP/Qs/+T9z/wDHKKKA%20D/hnz4Y/9Cz/AOT9z/8AHK6C2+GPgW1tYreLwfobJCgRTLp8UjkAYG52BZj6kkk9SaKKAJf+FceC%20P+hN8P8A/grg/wDiaP8AhXHgj/oTfD//AIK4P/iaKKAD/hXHgj/oTfD/AP4K4P8A4mj/AIVx4I/6%20E3w//wCCuD/4miigA/4Vx4I/6E3w/wD+CuD/AOJo/wCFceCP+hN8P/8Agrg/+JoooAP+FceCP+hN%208P8A/grg/wDiaP8AhXHgj/oTfD//AIK4P/iaKKAD/hXHgj/oTfD/AP4K4P8A4mj/AIVx4I/6E3w/%20/wCCuD/4miigA/4Vx4I/6E3w/wD+CuD/AOJo/wCFceCP+hN8P/8Agrg/+JoooAP+FceCP+hN8P8A%20/grg/wDiaP8AhXHgj/oTfD//AIK4P/iaKKAD/hXHgj/oTfD/AP4K4P8A4mj/AIVx4I/6E3w//wCC%20uD/4miigA/4Vx4I/6E3w/wD+CuD/AOJo/wCFceCP+hN8P/8Agrg/+JoooAP+FceCP+hN8P8A/grg%20/wDiaP8AhXHgj/oTfD//AIK4P/iaKKAD/hXHgj/oTfD/AP4K4P8A4mj/AIVx4I/6E3w//wCCuD/4%20miigA/4Vx4I/6E3w/wD+CuD/AOJo/wCFceCP+hN8P/8Agrg/+JoooAP+FceCP+hN8P8A/grg/wDi%20aP8AhXHgj/oTfD//AIK4P/iaKKAD/hXHgj/oTfD/AP4K4P8A4mj/AIVx4I/6E3w//wCCuD/4miig%20A/4Vx4I/6E3w/wD+CuD/AOJo/wCFceCP+hN8P/8Agrg/+JoooAP+FceCP+hN8P8A/grg/wDiaP8A%20hXHgj/oTfD//AIK4P/iaKKAD/hXHgj/oTfD/AP4K4P8A4mj/AIVx4I/6E3w//wCCuD/4miigA/4V%20x4I/6E3w/wD+CuD/AOJo/wCFceCP+hN8P/8Agrg/+JoooAP+FceCP+hN8P8A/grg/wDiaP8AhXHg%20j/oTfD//AIK4P/iaKKAD/hXHgj/oTfD/AP4K4P8A4mj/AIVx4I/6E3w//wCCuD/4miigDoLa2gs7%20WK1s4Y4LeFBHFFEgVI1AwFUDgAAYAFFFFAH/2Q==" height="390" width="677" overflow="visible"> </image>
          </svg>
        </div>
      </div>
      <div class="fig"><span class="labelfig">FIGURE 1.&nbsp; </span><span class="textfig">“Amistad Cubano-Búlgara” Agricultural Production Cooperative.</span></div>
      <p>It
        has a total area of ​​643 ha, which is currently served by Miguel 
        Soneira Ríos Agricultural Company of the Ministry of Agriculture and 
        plays a leading role in fulfilling the programs prioritized by the 
        Agricultural and Forestry Group of Mayabeque focused on the production 
        of viands, vegetables, grains and fruit trees, but mainly in the 
        production of potatoes (<i>Solanum tuberosum</i>) for consumption in the capital of the country (<span class="tooltip"><a href="#f2">Figure 2</a></span>).</p>
      <div id="f2" class="fig">
        <div class="zoom">
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            <image transform="matrix(0.4928 0 0 0.4928 -25.0166 -5.4021)" 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YyQRWTQ/%20BnJ5dSGObx25yEF6MmiSrGTyBgHHGLECEraMBCtMjctI2AJCzABmLntZIGA+8z+2wOWCaHn/jKmR%20MpR5JGfBCGAjVK4yed9xETYP5AtdFogVzDCQM4S5IYCe0xKQ8IXCBfofgT7DGQayaDWvps5zrhGm%208aKIOwTgAi2YwTN8AAY867nKedjIoidtEDY3unuMFgigCXIGQvv5H1oeiBle3ZpNZxpGvo6LHXhA%20gGiwoh/ITjayS62RPJ/6ukLWCBJYvcxYL0QLh4Y0r/+B7S3kes1IkDWhXxPsX6eo3GyxQwzooOx2%20K5vZGXH2s61rgoyweamCfrRCzDDuRe9Qy1Zg85xyzWYxk1vC5v4uutGibna7++HLNvW8lUwDjGz5%20IIset0K0XDQ2W9rjlf7HFyaNBHxfGuEJ/3/uwsuCgAdA/OURb/bEq5yKibC5zQTR8pY1rhBDc8vj%20BAG6zgkt6X8YuuS9RnnKG7tysfjhAjCPOrwxIu+ZVzcWFsH2tv+M9IQsmtdAH0jYB/LmL9gaCXC2%20kNKXvtWmf6UOOoi63Kd+kapbPQTgsAigDV4Qnydk72Lver75PsVAm6FoZrA0aqbkj8Y7/vGQj7zk%20J0/5ylv+8pjPvOY3z/nOe/7zoA+96EdP+tKb/vSil4zbuVKAHMj99XS3iN2tbg6LaJnwakV7QpDA%20869/eYy7RjPiTV4axqP++MhPvvKXz/zmO//50I9+5lW/ds4cwhGvh73Era5kWlQk0QcxdP9CON53%20npuB2iLX+OEFknjWGF/68I+//OdP//rb//6hpz5qFBH37Gtf5txXZXjgECNHdtZ2BryGbUWjZdtG%20Zq1mbd0WeHxnduCWdqaxemwXIRhoFergf/4XexUxe9wnAfPgEGRmZgRRZnzHgIG3dQJxc1s2RoLH%20flumeItXfRkIUjhYGcrgch6YfSBIESLIfUQAJRuYgwlyhFFRAA73g/8XbwF4aljHJEqIhARShU7h%20DIzghB+4fVEIZCDAYztohXKEhUxxB1zogUE4EUMYgDZAhWNIhvcVh44RA2mohl74hTXWCBGQJGYo%20h+vxh0gBCHeIhwCoh0pWb0ZGh4DYYJ//4QCFaIhQiIhKJgGasIiNqHKMmBiSEImSSHWUWGXNgImZ%20yHSbeBgA4AOe2IWHGIorhgPLUCSCWIrBMYtCwQDPsIqsOImuWGMDSCS2SIu+EYxAsQK6uIug2Is1%20dgKyeIrCOGTOOBjAcIzIWHfKCGTBAIzR+IzFQow9YQvUWI2yd401pgDayI3v5I08YQjhCIR5SI4W%20do7oqIOZgQnt6I6tCI/+1Q5Rto3ziCjqmBMWcI/4yIv66F+j0I//2F3+2BeZQJBPmIwH6V8ioJAL%20yUkBeRN/AJERaY0T6V/QYJFN4QVZQAUMcQX+cAUbMQVcgAVOoBBd4ARYcFEXyRcZaROl/8CRc/eO%20H3ld9gAk+MWST0AFjVcFbuAFXSAGD8EFT9B4DNGUT6ARSdCU/vCSCMEGWdB4NEkRV2CVVIEFkMcG%20CNEFblAFTpkQYCl5XmkQSekPVOAGCeEGcJkSbekPWMAFC0GWZukPCdGUDoGSj1cFXSQGRamSF9iQ%20enEIOrmT+diT11ULQImYFnEFVEAFTtAFAkGSjReVD9EFZ0kQWVAQKGmYGtGUa3kQYLmVE4EFJkkV%20XAB5WHAQU+AGdskFXqAQSUB5tymbWFAFU5Cbc1kQbCCYKeEFVFAFQ9l4pzkQs1mbu3kQr8mXDDEF%20ael4pPkPKImXU5CVoVl8knkXAuAJi/8pdTzpmDVgDZEpE1npmwaRm5z5EJ8pEFfwniHhBFW5EE2p%20mhHBBo13nU8xBVTABrACK5hZEFNglnjJEGLgBFNQEFkQmwjxmobZlAU6EF2ABRV6Ek+gK9vZeA1q%20oAi6EMYZnwnhBGIwoLBCEF5wnwPRlAk6Gjc5E7gwnuTZmOZZA8iQnjARnc9ZEFzQmvApnQJBnfQJ%20Eva5nAWRnxuRnBAaFU4QnAhxoCnZEF3wogTxln3pD7pin1b6D1UglimRosyplSA6pQpxoPwppAlB%20nRmapP7Qo/xJBR8qGjEqE01Iow+3hhLRhpQYhj3iXQDqD92JEE3qEJ8ppUX6EUeKn1r/KpVV2Xhg%20+p9E+QRcMKdu2qX7+aZZuqUsKhBOMKgvYZaW+g8uyhBy+Q8kehD2iQVZUE9TkKr9SRp1ChODgKcw%20p6cRwaeI2Ag66hLRqZpwSZWNSqqOhzNneaGQ95JTcAVVYJXC6g/v6XicSZJE6Q8nShBHOpuT2qPE%20+jvMWpSRyhBZEJqTihDzGZW0yZ7/0AUl6ZZZYKlsQJju2qYoYZ+ORwWYipKFOhEPqhBK+g9ceivq%20+hKvCqXYaZcMMZwCkaoGWq2bmaG5qaYCYZqy+p11AQa2+nK4ChG6ioj2RWcWCxF76RBdQJTtErHG%20qqb2+Z5J0K5W2Zz+0KVV0J3GWQWY/xmxFWqfZYmcjheu/yoQWWCz/5AEROmfY9motKmpBEGWk1qW%20ZGqc2rmeH4qS7wqwCMsSXsAGTrCXgloQYOkEXLCXWUCvC2GZCiGhE6u01MmtLRG0BvG1Ydt4Y2ug%20WLCbDEsQv8kF7eqWzxmx3NqUSgmjISsXyZCxGlue5kkJfzq4huqWD/GzXjqsC6uy0OqgnRq5XYoF%20H7qoaeuVq6orXmCWQNqtA0GZc4qSciquEOqZXWsQ9omv2Fm1LkkQX5u27UKmL5EEexmpK2qtetKW%20VEC2V+kPwjukx/mb1tqiRrsSwxmzBdG71wq8GUqpA3G3smmvxPkPr3q5kWuwnzGrLv8BCYYLcRv7%20EB2rhymwuDCxmY8ruaRbvZRbpJwrn1crn4OKkpE6v/P7D70bqT+LBVDKusuLt2b6D/JKr/aZvfRr%20qVkJoSVZoZDbElLapPaKt2CZqAnhtiJKmFjqqYPaktDKtiPxrE8wpxXMnBc8EFwQuJMbEYBJmhw8%20p9uLpB7CuHCBCuObp4jrmFOYI97Fvg4BuZAbnytbEPv7D2BJmhi6WlnZqUdsll75r6yrlgvhBKkr%20EGm6nEUMmpRnEPOJuzBRskqbwD7qoQ4BuxLhBZorEK+Jl2IQvCmxrGk5qGRMENHZoMZpqdYbl8kr%20EGKMBVeQBFsLxqEBvizBCRyQw+7/Vr4Ocb5f+Is+bMMMUa3tizNDHL9GzL1bPJVejAVP0JVOzL1Z%20GcXDmps0fKZUAKpI7JajusUtKrEGMQVW3KoR7BJZyalF2rv6Sb/Fu6Z1OxCVuS6tqxLyOhCunJla%20eaC/s8dHS5/sSpRVwAWvua+gYcgrUQeKvMgbMQ03Gl+pBrIw0cS9TBBC7L5EXLnYyr2BqidiEK5T%20MJSc6rma3Kn/mpss/BCAOXldeszEKsKZ2ZsFWsstYZ+7WccEQcgJIQYK/BBi8KLuWb2jixKsa8z+%20sNCoqqURS3m7fND3/LYFTKeS3BYEkM3txsgOsQPS0M3XZY7gnLvKGcTue8npLL/c//sP3HmhBUGY%20+RvKp9mUpPmvK3rFzImptJuof5zJRUqYWqy9YDmnAs0SVjwQaWoQZrwQr0rUC7HC0ITOF90SZinV%20sOoPU+AFT1DWZk2VZe3PCOG8CMHPhRzSbDEDJP1uHpEH3aDSNZCQLf0SHFy8V7CbPk3O5ozJ6byc%20rNvQBXHO8nyarOnUkkuUquwEao2SZGuv18nPr0kFPbqdQ8vV7xsTT+CVgRquK4rBXizWEaHGlvrQ%20CxvRKFEFLDzaKurZiQ3LDEG0o1q6dpnb1QzXagEBc03XHhEB7qDSPYwj4SWlQmsQXECa3KnCYBmu%208fmaxMmp3mvArFzbhtkFUMy/Vv+7lmj7yu1ir2Jwm7Js2gLBqlFKlIXKz4FKBVfQoLqrJzi7LiY7%20BePsEbLco8xaxgpM0KX7yQchBh09nTNpEMHMv31MEtxKtD1K3ems1iQ6n6TJBlaKphFa0fm9Gdac%20EggQ3Mlm0hKRAi5wo+m11wTLwUc5pPF6nRGbBVtL1nZZtdH5or3rBtdKnbvdnsP8ym+ZBU+QrtcK%20mAz6D+GNzAtu05AHxwfBroLK28gqqJg5BfL6OyP6eHMZqC4Z5IBbwikRna2KlWKQ29zZoEf+D0Tp%202q86wBmMpNlJ5Uo7Eg1smFfwy5ZL4x9N1RKb5sBsl4EctuHqx1/sBrz91pHxAiD/HnMhoQAh4Jgj%20huIw0bJcS6m5TZkhTKrXSqyPNxC0iQVimdEI7aX0+s5u+ZJEe+Dr8qBuWd7p/Hjt8q2pXLzJmsmQ%20Rw2QV6TPXNHXqcZ2KZav+QQb3hEduupb+a2+m8nLiZKFbq7ozQZgWQUbnRG6K62Vaq57mekJQaLz%206+xFWeS1bZTBzhkdjhKVkOj9IOIU4Qoi0JOqoL41WYa+nRYkYO7oXhED8AMTeYmQ/u7wM+4n0QD0%20jhIToI8h0Kv8LmDxjhZDEPAocQ/EQI5+uu8Hn2EJbxYfYO7nvhKhcADKyA4GP/G64+8lIQoYX+8a%20sQGOLF/fLPEg72IVXxYDyfAs/0EBJxCKiuvuLR/yL08W2CzzLZEKQaCHvJBWOJ/z7bXzY9HziW7y%20HnEMr/CFLiCSRk9iSC8WSg/iDzATKB2AHiD1U69fVR8WVw/idUATveANVgfJLP/13Rj2YJEIGI9s%20oBAIMxEB1zBx6dABXs/2Beb2X1EBcY9sl/AINGEMJX5qRbj3fN/2kGEHgZ9sdOAHNEEDjV5lAab4%20i48qIk8SrfD4ylYCkTATqrDuQIYDzZj5sLEJaeL3X5HIno9sn4AINDEN+L5iXS+PqN8acvAGGsL6%20XlEIr69st4AANNEMK3bimJ/7piEHUMD7TrH5JCEEwd9uAQABM4EP5JBgEZ/8yv9PGszf/M/v+10B%20BNPfbg1wBzQxCRwfXxh2+t2/Gt8P/kwB/SOxkeXfbitQDDRBYTIAEP8EDiRY0OBBhAkVLmTY0OFD%20iBElTqRYMeGNGxb9beTY0eNHkCFFjiRZ0uRJlClVrmTZ0uVLmDFlzqRZE6ZFnBPlQOEHBcqbnEGF%20/sM41OhRpEn19GPa1OlTqFGlTqVateksTkkpfjtRw2uNSVrFjiVb1qzYohVtrmXb1u1buHHlzqVb%20F+VZoTvnwPEJFC/ZtH8FD67IwephxIkTw3JAOCGhIDU0OKZc2fLlhYEn2uXc2fNn0KFFj46J+aHe%20I3x/ms6pmfVrvJkUz6Zdux//Kjusj70aANv3b+A4XQcnXtz4ceTJlQsk09z5c+jRnReBMudI6r7L%20EQ7X3v0gNtvhxVPN5d38efQQuadn3979e/hmfc6nX9++fevXVfs9vz6+8RHGE3BApsJJ5D8EE3zN%20PwUbdPBBCJHzaQwKK7TwQgwtvE6/7PrLKMLiUCBwRPF8YQBEFFMU7kMVW3TxRRhz8mlDGmu08cYa%209/MwRtZKIPHH2lh5hEciX2SwSCSTVPK/GXF08skNdfTuyCXFWgBILGejQ5gqu4yPSi/DFHNMzJqE%208swbpdQOTDKDEjFLOA8rIZI260SOTTvz1HPPicxE888oO1wOTz4hyiBORKta/6eHQhu1jFBHI5W0%20Tj8BBdQAQZODdFKECkj006nyQYBTUtFisVRUUw2zUkvPVFO5TVUVSB9Qa4UqAAhk1XWiWHf19Vf2%20WG3VyVdhPRVYheKxddmmuLkDWWgN6jVaaqv1TdhhbSzWWGsTaoFZcNERpVtgpyX3XHTPwjbbQFcz%20z9xU6wB33lMESFdVeO/Vd18ZocjwX4DHoHHbQY9NV4d5wS2kMX4nzbdhiCNe6D6KK/YpP+zc3ZFf%20PxKeF5VVJC70YZFLFlk6lFOmLj+C1zQ43Qc8nrc8k+0kuWacc2YItZZdhjgQw2RmdoYDdQ7zZqOT%20Tlqvnn2GGBGh5wVE6SqRpv/66pJ36klj9qwmdYWol32mFayT9LpstPXdiRSuu375vy+QkBuJJQg6%20Y24kELp77oKWwHuLgayQ24yCtMjbIW3CtlWQtIs8u3HIrV2bP/cehw0Jwg3y+4yFvvhiILkH2gIJ%20LQSKG3C/ATfjc4FGB/whSBT/lIDIebS8dtx93Ynyyt9+L269M3/IcCsEOkP4f8zg3IrMtRCedIlM%20kT3OFnKH8Xbrsy9VDt57b9Dv0g0avXiIBC8efILiXsJ5gZg3nvOJLpgeSxQC0b5F7O/Xv9FNEszf%20MsG9rnB0i4j6/jE+ghhuC4ITCPsEV7eJwAMW8/vRIPaXov9dUIMb3I7v2kP/vL+ZDgmCmxsEEyI4%201gWQIAF03T/O8AW/kY8i1fAEBQn0Bw5GKIM55KEGd+gYwwnvboCLG/ySR0CDxE1urPuHCgOHBMAZ%20DgmcW90RRzgRW3zChuOBQQ8f9EMvhjF3YByM4Uzot88BT3TQU4gZoNjENz5RgA3M2xmWdziJIIAF%20W7TNC8TYIDL+UZBlC+RfFEiQKf7DgAJBI0MwB0cZ/sOMBGnhFf8RR4lU4BJ8nA09Buk/D35SlIIs%20JF7Mh0jOHZKRSGBiQo53QDaKsCDQi6FALInFQnASMTwY5X9K2UtgRuyXZmlk6644uvDBcY4ISWTy%20jHjJVtoRdOTD5EQ+cAtd/1JlHQsIJnyG2U1wouubZTmdLYVIwM21j5W2lOEQ1Rm+RcLRhNJkYE4s%20kc2o0CFk4WzPOPn5T2j5kyxKXKfd5pZMFBoTbwUhYegGUktEym2ZFcEAPp1iCYD2M5QZ5SjaBLqn%20QZAAn0MYUkfR81GTplRSKN2T9Dh5gdyo9F0blWlNS8bSPUliBjb0QT1sOtOfBtVoOOXTCxgxvRKM%20Q6jdIepSnYqkpu5JFhhwRNRAoYenOi2rW9VXVPn0ASCsI2EPGAFXC2ZWtJ7Lq4USACDoYCsUZKAA%20aeUWXe0aUJpirQK4kAeiLsC4u2oqr4El7MgGW7YKYKIUJHpGHwSRq8Le6f+wkaUsmdZaKj3cIQAt%20CJpihkCCPvQAAJWtK2lNa9gw6mEBiMhAH1ZgCEPsQbZ7OEclTnEIB4zAXqctLW9926bL/takwRVu%20cStDXOP+E7nJZe5ZltvcYD4XutNFinSp+0nrXle7FsnudsPYXe+G1yHgFS8HyVte9Eprsumt7HnZ%20y173vjd78ZWveOlb39rdF7/a1e9+09Zf/0IXwAG+2oAJbFwDp9cITfjveg/84LIkGDhSMEKFjTCQ%20JhghCRBJgoUrrASCZHjD6KGwhZkwFCV4WMMPNQKIyZJiFddtwQdRQhRysoQW/0rCED7tjmHDBCNI%20QSBScLGIIUJhIf8Dxzb/FoiRz5NiEyqBwUGJApP/keEk49jFY6nyQWZcECCbsCJa1rGDeXzmo/j4%20NVHYMk6QPBAgj5g9YdZKlweS47/YuSBfZnGSF5Lhe6kZzYUVNFm+cugaeLnNFnnzkINsHKl4ecpJ%200fM/Km2WSwuEzxIBdLoKPei7flosiP4KjR8NZiPUDciW/jBCGv2POAuEzpq2sJxhrWIre3jROIl0%20QV5tECDXmiBGYEKJV2yQSuP5H3wOtrJp7eEkN/vYyLbysCd961aH2MJN6LCHGUzsYMv42hmu8KSl%20bes6iRrUaVV3UkjtlYPguMKoVnWFN4zjaw+k0R02d6qV/OVG0xnfjOSz/xGqzeuoAHvaBckwBIHs%2052w3nNoDgfKdpyxxS+f64v6+MscffpBML3vSGNdzigcShQ13mtZt5rPJBYLyjjv81DYz87ptLpF2%20I+XdiUZIFCwMZ3/HuskXNoix7U0QOteYIEq39KSZznSBdNjPCIeKwsU8EKkvPddbxvGJC+JzCy96%20xlmP+qMpDMGsk10gUCcI2E2s6SmrPe0zxzDRab3nuNP9H2r/B9uBW/ObB74hOT/KzhcCY1kHneMd%20P0ij5w10cWv75U5n8qZFLpReI33hkNc8BPnc9Ynf2utwv/UZif2Ps5ddyLNO/NUzLunWs/jErK+7%20tfEe+87nnuaC5311Af+fJMMv5ON0Zj3GCbLv08dexT8v/d5PD3rbByXz+tb70OlNeoLn+/Vrt/vl%20pf32y/ed6CrHfdsPjv3vV/jE5K+9xW/PeIZ3v/m77339g0J4owRfIR2eveJNaHzq8zM9ozPLozgP%2087qBi76cmL7sOwgAnLXPK0A9e7UZoz2sU7G6EzML3L7328CYMwjys7wvA8AP5Dz6sz8UpAj8swwK%202zDiWzwSRL2Z+7jm8zuCQ7eXq7ZfM4uK8zW607MI1L5k0zjnmzoM2zUZnLqQC7kv47sABMHuE8Ep%2028FfCzkxWcEUHK7fy5MOgyAya77iW7wnJDgXozN+gzMGkzdoc7Qp+0L/waiwKGMwn4MgJwu/fxPC%20anOyL+vBZasbcrMwK5vDocNBDlRAPuQ4n6M4F5w2KTw5u1OCDRPEjiPEK9zCLBQ8LPwLoxu9F/w/%20MXS0qau4WVNDPpOCSaMwBDxAyvjD5Os45nO/Bvy6ajtDO2RFE4qCW7Q7VkwIGPOwDds0W2w78BO/%2002tER1S/unvFPMnESwQoZkyRLmw7JFwSKTu+zROjZ2zGcMpGEKG9AqySTfNAL+JGbYwuS6QaChu5%20a6wSSXTDQSLHcuwleISQblPGMenFVsSuc4xHNJtHfjzBf/xHfwxIy9pHgjywgTzIozFIhfSvhGzI%20qmFIiKyvh5xIs5FI/4uEL4zMyPnaSI60L4/8yPwKSZHkL5IsyQZDyfqrSJXEn5NsSeZiSZhEEZmc%20SY96SZscKpzMSd+qSZ4EpJ38SdPySaFEEKIsypw5SqR8D6VcypsKSqdsmKaMSmGCSqrsKqu8SnbL%20Sq1UK67syq2aSrA8q7GkyK8sy2gRS7QkF7Vcy+JoS7ekFoyYS7qsS7u8S7zMS73cS77sS7/8S8AM%20TMEcTMIsTMM8TMRMTMVcTMZsTMd8TMSMy/TiA8isTMu8TMzMTM3cTM7sTM/8TNA8TD6QTNIsTdM8%20TdRMTdVcTdZsTdd8TdiMTdmcTdqsTdu8TdzMTd3cTd7sTd/8TeAMTh7hHE7iLE7jPE7kTE7lXE7m%20bE7nfE7ojE7pnM7sCQgAOw==" height="241" width="1116" enable-background="new    " overflow="visible"> </image>
          </svg>
        </div>
      </div>
      <div class="fig"><span class="labelfig">FIGURE 2.&nbsp; </span><span class="textfig">Percent of cultivable area in the “Amistad Cubano-Búlgara” Agricultural Production Cooperative (APC)</span></div>
      <p>In
        the investigation, a survey was carried out on managers (2) and 
        agricultural workers related to the irrigation activity (6 operators of 
        central pivot machines).</p>
      <p>The indicators evaluated were</p>
      <div class="list"><a id="id0x1e59100"><!-- named anchor --></a>
        <ol style="list-style-type: decimal">
          <li>
            <p>Area under irrigation</p>
          </li>
          <li>
            <p>Work force.</p>
          </li>
          <li>
            <p>Age of staff.</p>
          </li>
          <li>
            <p>Cultural level of the staff.</p>
          </li>
          <li>
            <p>Experience of staff operating irrigation systems</p>
          </li>
          <li>
            <p>Level of knowledge and willingness of the board of directors and irrigation personnel regarding the IAS.</p>
          </li>
          <li>
            <p>Training for irrigators.</p>
          </li>
          <li>
            <p>Utility given to the agroclimatic station.</p>
          </li>
        </ol>
      </div>
      <p>Evaluations
        of the technical characteristics of the evaluated machines, rainfall 
        evaluations were also carried out on 3 sprinkler irrigation systems 
        (Central Pivot Machines) to determine the exploitation parameters and to
        know the values ​​of the Coefficient of Uniformity (C.U), the 
        Uniformity of Distribution (U.D), determining the quality of the 
        irrigation at along the side, using the Pluviopivot software. The 
        irrigation application efficiency was determined through the formula:</p>
      <div class="disp-formula">
        <math>
          <mi mathvariant="normal">E</mi>
          <mi mathvariant="normal">f</mi>
          <mo>=</mo>
          <mfrac>
            <mrow>
              <mi mathvariant="normal">h</mi>
              <mi mathvariant="normal">m</mi>
            </mrow>
            <mrow>
              <mi mathvariant="normal">h</mi>
            </mrow>
          </mfrac>
        </math>
        <span class="labelfig"> &nbsp;</span></div>
      <div style="clear:both"></div>
      <p>Where:</p>
      <p>Ef-
        Efficiency of irrigation application by the machine (%). </p>
      <p>hm-
        Average layer of water collected by the pluviometers (mm). </p>
      <p>h -
        Gross partial norm applied by the machine for a determined % (m3·ha<sup>-1</sup>). </p>
      <p>In addition, other parameters were determined such as: 
        adequately irrigated area (AIA): based on the sheet that is within the 
        range of 10% above and below the average sheet, excessively irrigated 
        area (EIA): based on the sheet that is above 110% of the mean sheet and 
        Area Insufficiently Irrigated (AII): based on the sheet that is below 
        90% of the mean sheet.</p>
      <p>All this allowed characterizing the 
        productive environment, diagnosing the technical-organizational 
        conditions and the willingness of the labor group to promote the 
        implementation of an IAS in real time, as an alternative that leads to 
        improve irrigation management and productivity.</p>
    </article>
    <article class="section"><a id="id0x3739f00"><!-- named anchor --></a>
      <h3>RESULTS AND DISCUSSION</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <article class="section"><a id="id0x373a180"><!-- named anchor --></a>
        <h4>Difficulties Encountered that Make It Impossible to Correct Implementation Provide Advice to the Irrigator</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <p>Low level of schooling and job fluctuation.</p>
        <p>Graph of <span class="tooltip"><a href="#f3">Figure 3</a></span> shows the number of workers that the APC has by age and sex.</p>
        <div id="f3" class="fig">
          <div class="zoom">
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gXibEKqW%20BmVsfBkIZCBDNrIOBDaAPn4k2jhaokxpOHRaLrHMyYqe+CGeKPHPDIIBStZAkzHhLHdvup3V5myg%20hUtvSNg7sfh+Z8uj8e8Q+lae8jmD1GTDgAyYQQMVUIDPaWeehCggOtRJzWm2ZB+pzWfnSf8Z0w0B%20tKXjjQELqI1jw11LdjPC5NP+aMpjunJf+FrMMa+El39Rc9HdnBCTGcTo+iqIBVyn6Og5iodCaJ+4%20i+4gUvsQkWayd/8L28cBdD+DlVJMcq8vAuzqzuLY81j2Dcub0KMmtSpnDo22o+3thTD4eA6Cd9Lc%20/WrZqbvfKCb6ntkdOzp7/X3sQxn0VbPrtK4E5FEOCX3zG7OV38vac3F2LKedEsPvheejw/iZLODW%20pJ+aq0vfIdGtnqbPd6v1YW8I0sH69pxwFvp6GPlTPCn5dEF/CTnfiJcj9vj6ZL8zPN+YPDtgAaMZ%20XUKmj/qxoc3HpXN4+Pd3ogOA5mYGBkh7C9V8dOR4lEJQ8pcZ6mc5EagI7hdam3d5AOF5Z8B8hsAA%20O/Jzchd9+3d6E5F6HZhzpic6a0WAKYgiAWgI0QGDsMYz4ZQBMFj/FA6oKRCogboxgbRQfEUGfz1o%20bQLBgfGRULaRAdMRAbq1AVZyADvCcC34G49VHRKwAfwQH/MBblo3HhtQY08YhTvihfQBhpNlhgqA%20hhRAGRoAAIhnSTsIKkWocswBhDZUgYlwgXVFhBelh4lAVEo1iErlh5XAgSZ2PhoQTg9AGV4iAQtA%20AbDjGOtEiVG4N+lDH9GxABtwAErYiHyFGpFYHpvYiUr4baXoicNBATzTJQYxh6ZSh2R3h4BIDEII%20YhlohGyWeZqHGDO2ObJIebTog85wizCWi3YYZplniG3xi6twfrVoGHhYRdFoWLzIjI6gYXxoZIfh%20jKoAjcQYCYJI/4jkaADYaBMaNo7lSIjnCFPh+AjbKFbtGFTVaI3LyCuwKC9/+I7weI9YoY3XiIyz%20uIv+KEv1SAjxOGbdmI+yEozYU3kJ+VXz+BIAWZCgYIxuJpDCqIyjNpFj4Y2SF1IHKVsWORUV2ZEa%202QEscAH7cgEgYAYxkAIyhXkoKQon+Wv4mHv+AI66SJNolxU3+ZM22S80YAYsmS84cAEpsAIgAAIl%200FkEWZMGyY+OEJESmZNbRiwOWTgQWZJSEZTGJ5AucAFGmS8dsAL6sgJm4AJQ6ZNCOZU9OQlWqVi+%20yJC4spWYcwlz6ZEtAZZDiIwh8AFlUJb9kgJmAANtKZcBOZRU2f9+i5kMoudoiBBn9vWBe1ZGWUkK%20JyV2ItmYjLCXQDmSgjCXvQiXHRADHTCYR8kvFyCYiZltj3mRoklcsXkMCmAlknkIlAltlcYLTORC%20mHBTXAIAWcJTFxdffnmM/zibpMmXh5AxNBAC+UKY+lICJAACqfma9VabnpCcyukbT2IeuZkJ6AZv%20PzVN7FQJG9AlADAefmNVAKiThMWcXhkV3pmRjOkCbDmdq1kGhukYLCCdlBSVOMmYcQmb9Vkx4Ql6%20m1CeAiWfk0A+9lQJSOJk44EibQV+rbWPB7qdUkkV97ltmxcCJLAv1KkvIVCUrtlhipmgzkSfLuoK%205CYJ4jkKDsr/UHZJCI02obqXYlXzV3XHdRvamR3qcjGaCb73e5k1b565CM25eR9ge48hk/wSpdpp%20pEdKTjD6obLAcI9RAQcHAI0YNBVHcOWRHqDIMmXKMrMDcTo3cBfHcdbhcRGHgBlkcBkypiQTciPz%20ZETSgjoIoZOgUJxgHvMRWZIzckOqUlv6lrLZpMUQove2eStwAZZqqWbwARfwlPyillfaj1l6CZIK%20c7eAdz33c0yoGk6nc2YQOubhAMU2Hqqac1B3hv63qrVadU9mH79hGU/WV6eqAamKdVp3YQ6gARDw%20ROWXmYsaCoS6CRVgH8/FoLpGpMlIoGFpoNf6DKP6fhqpmgmD/wMrKmRuma1wua0tyqWyUHqvCndu%20Ojo6lR1Q+K77539+hzaAV3hnMHhnEGfHoR31dE9xKAiLVzqJt5nDJKg0yqOZ8Buo5n3UKl28Q13M%20M16cVV7mlXnqdV0WG1MY217Z1bF59LHNc14ai10iC65lAAMgcAGpuQIxwKneFT0mO2oba10pWzgk%20yzw1W2g3izzvVQrsenutF33qwXAHUbSSQwhKmyLXt68U43MONzW113BngLSK2oAKGwnPmgkVEE7T%20Op4FMLYFAABke7Zom7Y5EGQ3kLZu+7Zj2wOZtwNwW7d2i7Zry2Fte7d827d++7d2m7fdtbeAe7Zy%20O7eFC7iCa/+iR1kCMeAYMeCy/EK4iXu4o0a3ieu3ixtTlFu5vIi5fXsKQ9sR7Ql9Z5pauFG62ld9%20R5F9PeN99kE6eEd9GnoklZG1k5AtIYOwGjRs9NUhlSlPeLk6ehmqMgepttiojppLovmk2jqQ2Gqu%20jaV/hHB/+We0g2AeD2C9LthbgsC9+FqA3Ic2blpPskF9NlYIKXZ0ctZ4W7tcm8ZRlzA7hlBh+yqk%2052St0FuuuPi8Gxlqyiu9zIu8XMWdndCtGGgLo1s7gDo66nFa1dHA9cqCIygIMzh734tig5ABJUZ9%20NrjB85F4E7Zu76tBnTO/iUcIJ8aAzdoICMyNj1qkyvDCMDz/wDLsmMardgH8l76BgFpYf4I3htZR%20htaxHT5HVU74AFA4xKybxEsshfWUdbYahmJYrBkExDnihnBId564HVKDu1JWwqkgHtbAIUHUY2Gs%20v//Lv98Zw+jaDDQsj9/KlRxZoOe6v+lqx7UQhVbyGGzliKKIoYvjOCYGyJCIIigIio84ipq4ZKY4%20HCB3JTo2if53BqwIZYOgAdGBgOMpWMLrC15qe5EBRVHmyYgQx4Y2x3kZDaicyv77kHW8vN25w/3L%20ECjYJjmqLBz6xh6qxzbMy8vQylf5ynQcvTx8x2ucx7JMEDeqj8yKSruMxwjqy7NMwFZGy238y9KM%20pep6wNiM/58EASBewonPAJKowJPADKrU7M3WrGbtbI/dzAkYKaLEvMrGXMsD8RuODA3mbH7DazRd%20Gc8v+s4sR9AkmcPI17xgZQEnYAY1IANg5QEm4BgcANHDjMywHMsCLCxi7Cj/fELFK9CaMI1G9M30%20jNHFTJMzYAEyMAIncAIq8FU1wAEWMNFmYNGl6cbbzM3rDBj9jGlqnNH3DM46ncySoI7rWIja6pIw%20SaX7AgOaOpNsnM3VfMOf6VUeMAJfNQJmgAJeNQJe7VUoYAYtcNFFLdRTTdSD8dOlgM47rc7LLM8m%20PalwmZRL2ZQyWwYuUJT9Sa5pfdJnndLK7FUyYAY84FUWEP9WL8ABZq3NRt3LPd0XbD1rQS3Yg43P%20jo3Wl43Z7HyWabmW/GKYfR3QIp0JQmgBjF1XHFDWdInS9vzXdL2QHf2A0fzYPL3R7GzVV43QDmmY%20iLkvoi3Vm03VuZ3OOPxVKmACJ+ABdeUBN93YVW3cxx3ZfDHZO/TROBTS1G3ac02qGN2ahXmifj3c%20ah3dbz3dhe0YLyACY4UCrN3agf3a5A3Ya53L6MHCnMmoBj2avI3dSKTd2y2q/GKd2Bneow3gcT3Q%20um2BYiUCLWAGqQ1WKsABzA3dxX3e053gFrGbHvNbofBunlbZ8j3NGs7d+02b/W2t/2kGARra4k3a%20AS7g+/3/YRxgBmHlAS1Q4RYu1yfuvPIlpbjGCpD2LPYtOfgNC25t23CN2zy+4Aye4vq9LymaqS5+%204Bp9zPFNvPfM1WFlAuytkDEcmI5BAjIbAkA+oENd3rEAAdBFMsVGGEWuLbWt2STO5Aou3btd2jLe%20L1YK3C+O4HY+0go9VjMQ4WQwA18O5gNcAiBAAq1pBgVeBiRAA5famjSA5rDt3b5UPgYH57NNY9Jx%20SEUIAywA6ZLLLx3gAlG6ojAe6Cbu5HtowHe+L57q51ae5vRt3kqOwzxwAhbA3CNQAzFNBh6w2hZw%207DWt1Tk9wCQgoGVQlGxZAmi5LzEw7eNd567eCQGw7dze/+2E18kbkS1dy3v6zbJJWerjWgYhwAIt%206+zXDtnZvud47qSyLuj+Iq5VLtzYjuWZbdkeqgI14Bg18OsyLaXLDd8D3J8lIN75svDZ+e63He+b%200O0UHwDfPgg6Zht86mQPkCEMkB2jOBkRkFZ8iqcAkHAV+nBOFqYo/yFyKgFHTtkeDgrjbp4unC8f%20kJ0qaQbOHgIggJp6dOXE3eTz/uR6frwsK7kwm9d6bQYl+qlLLvE6POP1bu/9Atr94gJPz6LpygMv%20YAa+ruNeZdOOgdPOuQgV7+04B8n3RKz0IULBGnQ+54kPcHQ55/ZbF/dCx052TzI+B3R7/0K9mqxb%20ksIhOf/zn1DzDyqS0k7rZkClHQACLPDwUF+VUB7lRR/rl3/zZeC4kHvq+mJ7lZ/hUp/QVL/5nM8v%20LEv5+hIDv831CNrrK/31hq4Ci80BHGACrmwKac/thDd+xJZ4BYs2iZcdo8FwtTGwiodi5pF4sue9%209eT8h1e+4wHGzvbpiqD4ODrnhimgJGAG1q7vvczQZvACyi5WY737WQ7QgM7vF77rxy0CNW4GJjDs%20N/4Cib3jsw7/9A4IZIKDhIWGZAlniouMjY6PjwRlk5RlNC6VlCUgmQiQn44Gghwegh4vZiKDJqqH%20iaCwsY4BtLW2jgBmCooQGYsRZsHCAIpmxIoHZosKxmf/wMLBAMzHZwcHi8mK09jXzt2KGc2y4+Rn%201LDn5erMZg7q7/CL6bKSmWU4H5MdICAuLGYsVlTyFE+RKDIzXliYccKMBUMighF6VTBWPXsYMxIs%20ePCQR0MUK366mLEkpY3xDqo4YcICBzMnShVq4XCiSIsmc05C+a7jx5+IbsIiOQkGiYwXjg4UKUrF%20CEIjzMgQFPGFCRUghZKzxTUALl2PxDkSm01bM7HLyH4ruw1ZNzPfzrTVWm4eJLt007bLyxcvKKJl%20OrAIMSmFmRgwypSIYSbxTqZkVLQYFPFEIQ81ZpixybcRYJ2dIAMFGrLzZ9AnRbMaRBNFIRQWag4q%20bRp1/0me6nyOdtXZc6YQSjGycJy6om5BMlIJsoAqmGvOvR91vdUo1y5HEdwxelCMWlm5zbI3ejDX%20GjZl4L2/jcCIma/o6Mb5zctOO/yK8yEBxiFwkgszF2hyWHEckTECVqtsRkgLMsQGXXSn2YZbbrv9%20RFteEaI2YTkHPTSICrJRxQEZIQZ1X4agbTjOcRXOdt8ZJHVAQwcZhcBJaMYdMsOIhHhgQUNPufgi%20I9PV8tV1jWhgBnfgUNDdeWkRoySTZ2RAQXlroYelIg4suUgGEUAw5F3yDckANPaNWdc7RK2ACSUw%20AFgJYwSmdMiPhMBGhoNCwoeiTiqu2KJHF9L1Z06Byv/CIonPkYFZKSUWaqhtGuU4aFYnUtIBCTRm%20hAMO9iQay3GntFKICCdY1ueYRdLSCATJpLkIBcBoAIADFZilAS8SmOFklXvRaoatuJ6xwbC8LBDm%20GRD06uSxuzKrrJgMRBDBLgpEQKWajOQnD7fgwuOtIyQB95sZwZXxwY1liAoLizV4SIYIk+2poCCS%20anWoSe6CsmiL+d60722iFcJDTKy1EumLA1da4KWFBCzwJCGwgMMFGF9AA2GUDBZqwYPMEOQhKEi1%20arif5AINkrMqGUGu5kBzBjQAJBPMNRS4nKvKwbDTMzQ2/yzMLgwoaYYEG6DcbZlKNw3KuL5RDKo9%2063b/WgYIU7cLMlUvyOQBKcvda6KflITwQTAklJBJCRewWyc8/1YocUUNY9TvJyy20CgKjS6cKaUf%20PwzxybVtAk0w+ZTNgt1bj9DoIR6YjK/TlFeuJtRQW84IAwCw92oFwDgg5prq1LMCCxljnLiNnG4a%20g9V3Q3IcB6auFvaDvdWzCQkXnA2C1SG0bUbggg8+du6AE2+nwSZQ1vwgfpOd/FLFDz433dNTX7wI%20z3/kgaqTay7++EJhTr4sFHSOHiMHSMBAsxKok/kiksR5uJwU+86p9suvYmpy9zMDj65XkHqQgGOW%20MMObKHE25cHNeITDUPbe1pNTdY8MLwngVI6HvAlq/616ECNgPOrmwApSZQaj0VMEz8fCFj7CfC4E%20xXcU8QCwnOFM85ufIkiIo+KhYGSRsYAQhfgSCwRJhPCoR4AEtEQGDq+H/TMeEkvnwQ8WzwMtkIkg%20RjBEIQrQAgiaIhU9GLtQQDB80ptgGc1oIIV0cUQRmUEpUHBBDsbwji6EIR4dMcMzSMBziljAAkhX%20Dh7y74FbBOKdxCbGQmZEgZloIBQRCcFGjsOQFKSQKUygRY9ED0JVXCMj4rYbS14ylJDhQQAf8rVg%20cECRdtyjLDWnx1kiY33Mggv7zMAAcugQRqi01AziNcQZoLAQfEIjKO0Bg99F8omHNGEl/6ZG0Yjg%20Bf8z6GILTAU9ecVSgmS01DSpmT1RjvKM37SlOsNVS1vOkBlxSQbL4jPGauZIM/fbICGSmU59YeQS%20VINmJjmETlPiJJw5Wsn9eFSIT3bQnlG0HsOCCcJLGXSdGMUP09b5Tl2eZ56NAEIDRtoAKZD0pChN%20qQ2qaISUuvSlI9XBGZMA05raFKUrzYRRMCLJSrT0pjWV6YfwlKeFDoKmQE2qSlmq1JcKFYJIbapU%20czrBn0qVpE81XlSvmlSqZs+qXG1AVge31ZsCIaNovUk7Z9nReNrwEwWIawEAINe62vWuOajiDe7K%20177GtQdn3IFfB0tYu+a1EubiqUAnsdfCDhawVPn/kdjIUIOWDPEFjRKsYzeLV71ytq+QhaBmP0va%20w06wsaSVa2iNN9rUbta02UOtawuw2sG1trBpzW1B1irLGZ7JraOTxS8x+RhxSpScMrLaM0uoyUG8%20hBA84GbkENTPiSG0ooO66FAoSkkpTvS6EQ2hbscLH97usY/KYkQEBulLNnG3u+Kl5qaUu9xJSnMU%20ky3ECGqAO74Q14rhteh3IQrf+KaxnFszMHkXrBXz9qaGwWBvQfpYw+tQwEvtrSeCjavgDlbsYhnb%20mKb+obZoNhe/P2kBELU7kvfe97gHnp45DVLQAW8YuwBjsI7Lt1E1RbgiEFgALxshAQlAgAFFlp97%20/8Fb4OxO1HCHS1wZLgCNJgIYvs/1SOQ6yWL9uPjEMF7mBJcwgTKb+cxoTvMESDmaLnuZyS/u8I7n%20TEh6cuvH8eAZWiDQpZcFt8enhDOYBUxOGW8ty4cYQb1W6E9BE/SMbo5EFTHQqkrXgs2ksbGhOSxn%20OnvazqAeE57JN9wvP9q7hU7ejGlMCEQb4pURSzXgVn0GTFtI08mjtKUrbeuPRJpcpiZHrwn16WIL%20F9DREfKSRj2+Ujta2JDG9awPnV9BgKiT1RXJf2k9bN7ImlK63nWRuo2pGKs6wYQ2trpfiOzOCJkY%20XTKDhJu9ZAI3OcfflhC1PYKCRTNaKNtGt5Pzjf+acIu7K+SONcFTJHB8r/vh3zr2fSB8HWaLz9n2%20jvPAzT1tDruaEDXgQbkfeuMAb1zM2TP4wW2R8P76N9iCijbEZ+5grcS7lzOTNwsxXvJ7y03alOJ2%20j1BB3Q+Bz+WTenbMx8lxcK98Oi3/N8BhrqgazxziNReKzXBucVrWu+fyAMYCtsVGVDdd36AIsl86%20EhtheJMMdPQ2yjcNCg3EpRFRVybJp6fyWkBhC2YQwhBalfdsa9vUGxByBADwZ7xb/errzvpNtl4M%20nZ+P53RnRAUWAADQocXxTJ/7uev++XPKXPQd/0Q47m760O8919OJghCCEIAgCMEJ43486oP+iA3/%20vAwAQmb9Igr/a8jnsd15UVnFLU/qr2deEUWblRkAWfYwvz71j8hALtau+9oonQLWED6rXe/9CfYd%20C2bQQi2GYAbaI7z75Qd7NUYXZF/JDv7Gp7PkbxIMd/BM/E6DeaO3HTjHJbgEema3e2j3COA3M9x3%20etfHe5DQLLACgMQHdLbRd1HQfrVABWYwBVCHf+CUcQywLRV2fxCYf562f/wXDczXfBr2fC9EfQho%20ffEng7wiJqU3fCLYaBm3CBqwC+aBguT3ch7Ud+wHBbZgBlYQgil4gwP4CczwK9Vngyq4YyyobgKI%20fZAgAQ+YgBG4gEnyKzs4fmBohD9YJe8xhI9w/4ELpxN9BwVmgHu1EHhOWIQjKH+NUAEW2INXSF5Z%20aGxbKIGfQAEL0HitZ4V5iIMZ8B4OiDd+aF0/mDPcAIlPiIYpNx1WkH4BQAXs1wV3eIaYiIOMEGRU%20WIWd9ocLFojFNohi+AgHcIqoeHJhqCGOQAFpUoa1FomHB2cQoAHBxYazSItQCDh9FwBYMAWB5wRV%20YAZVEIqKmHRpuAgVQHY1GI2qqFus+GmuaIuf4ACyOIw/94aIwkcB9FaJiI2SCHZ6RjNtyIu9aH67%20BnhUAI2pKI16SEOOSISimI3jtY0r6HxR2AgZYI3iWEoY6I3bAQAMyZBwAQAFmI73OHVwpgANyf+Q%20giQN73iJiwh7lcZ+g2eP6aaACnmLsrKReOiPuQWQ+ieQXLgID2CQB9lmCclwsKCLbkiSNilDfciR%20+Mh3lbaBdCiSxDiKAzkrMPMu8KiS6sSSc9aNO6l5XtiQFZCU1ziStRiVkICTSzlCVFcNPZmSPpiJ%200wEFyviMhNeVXiloD8B5Fyl+OcmUgIh8kAeVgOIIFRBAIGWGE0mRY6ZmaGYGXACYa6aWLkkpZEaY%20ZXYFV0CYcZmVcNgVQbCM7peWPjmWMngs94MXjymXK0mXV2eX5chpRdmRxvh0ROlwkJkTx/h0nWmU%20p4maLGeYh/mKGleanolRTomFtVmSPoeQ5Gj/Eq25cq/5kx4pm5dGmzF4nMhZnMb5koOGlbmJVrup%20Y6LJLw0HnGdXcMg5m5e5jkDZnbTgnJjJnLJJnn6Zj0vXj9PZlKBJc72plbc5jtsJGsN5cOgZj2Qp%20nvmpn+HZnf2JPUpXdd/ZnntUnQx2nQRDmqq5msIpnuOpnOTwX/cpbgFaQJMGoRe6ltO4nupooHiE%20oKsYn3fJoPSpk5GpoRIaaPKoogXqn+aJmhuaRF+plC8KoscncaqooBmRmIr5o3lXfIxAoRAaADO6%20nLHJnyvKovvZnEtKD1Xkoz/qmE+KowH4nupUNNP3SzyKERW6a0FakymqpDfKoU3qpGVqpv+J/6Zi%20mZ5ryqbsaaV3JKKxoGy6KBIQkB0QQCtWqaMTmqEuGqduGqMyWqV/Aahk2qbgSajEaaiHeoRFeqRy%20ajl0+gln4g4QJpMi4QDLcgYnmGGOBKmB+qEwmqQA6qhv1qKJKqiLaqrniaqpeqavmqaT6nV+2hsq%20wwD10RkQgCzQtxeg+qeiuqp92apON6qkiqHDeqq0SqKsiazFWqrHSqzRWqv0dqudwQ7gAax5cSzn%208IKx0KX28KWWFqbBWRLkymuwCmzLCqfJqqyq6q7VCq+yWqjNaq1Xiq3RETQnqVZoEQx1xqRvOqus%20Kq0ZGKnrGjXxKq/SCZvTyrC4WZ6uSrAFi/+vthquQ9IlDrCrffGvB+gIFtmQP3CRJFuyJnuyKJuy%20KruyLNuyLvuyMBuzMjuzNFuzNnuzOJuzOruzPCsFPPuzQPuyX2CxTVOpdxEMJdh/nbF9jACwwZqb%20TaAE7ckER9CePzAABioAWDudv0S0PKavebF1KtOvIlFD3xo/T+uZUTu1VTudV5u1W5ubXeu1ImG0%20j+AzChBvZFsQZxItZ3Bhe8tuBrq200m1Vhu3uam17Tm3dLtbWDpLnDo64RCRGDu4Ulu4bZubb9ue%20isu1jQsudus01eIO2dKnlduehJubhuu2iOuZnSu3n8stoes04Cdv+zgOe8mUY2CgYmCgTwD/or/b%20nrkbu0v7uMR7vMibvMq7vC8yu8z7vNAbvdKLr847vdZ7vdibvfAJttrbvd77veCLdcYbvuRbvuZ7%20vjl6uui7vuzbvu6LMtX7vvI7v/RLvvFbv/ibv/q7vPe7v/77vwAsp/0Lk8IwbwF8wAicwNw4vlrR%20dXKJiwB4hYm3pYj4h7XrZ+15YcOrghAWDQoMugwsFA6skhuQlxGcf75XAcDnUf7IAAewAQqgJKbr%20j/W3wfknAeF3ABX8wdExwE0LrrnJwiqpw8lif/74AMGVXrlpK+iYjQ9wuzx8OSEcD8oGYQYcxCcM%20eSW4HU08xGgrl9rHDDZ8dUEWAUEYxSDM/7108W5nEG9X7JlCnJtTmJt5OsaQ14BizJQb0Cv9t8No%203BdTrA4UV3lvLJdx7Jl8mJttybifBitiksee2Zbc+sflFcjlcHOEjKOHzJSm6JlBM8NXqAG/Asme%202SxGTMk9bMnkQHk5V8hMuckqWY3TCQEPAAx2/HAFmRa3bHwXxsioHGop8yKsPMJ0JowdDA3WeMh2%20SrnKFrho5TPd8MTy8LHwgEPdIgwYNRdPM2Sbg2HkcD9IMgxNc47ULAs+g83XLBQQ9g088yJeKLrQ%20QLnfjLS/GgyaSrf3q3yZbGxncjOMEG+HExZx0c/x/KvX8FvWeTixqB12KhRsfEu9lAzyjP9HnBcL%207FCAPHPPX4EmZkG6kyy7F6mxcxs09rwIDV0RHbxLEc3NvSEB4WjOLF0RrFwOwkAlZuupd0q0/au0%20/1dsBC3ECxCRC9CvQH0e4tAlx5AMGm1LeVvPZhAGgSQzm+rB4MFeNZTF5NOrYywMOKdnS80IQQ2L%20GCZkuxwdpKwODFDIdlrO8tEz7WF5Vx0dDQgPzDDR7zDTstDPskLWlWfXXjvAwwDEntbP37DFunyL%20RxNcBQhhXIdhyYDVshSRyZAFJJsFTlsQHXwMXRLN9BxDOEw0thILQRORKvPVZuHPi9DP1yFkzjwk%20Z10X4uwIyobZbv3PHsXYWhEBB9BLCkD/xHQd0xPW2eOgtG/NzVR9vD5sfIT9jR9L0vPEDtfBDkxi%20M3MG0IfjBZddzWNH1cFHQyUdQ+pjxmPMkHhd2qt8OMcwyGcgZK6sJq89zyvTCLMdD6gN1rf93TeR%20l0fDeAVR1wWhtzOtMoWMydds3LD816qMo8sNCUNdDnZq1d+N17p1zukw31SctOKA2hDmy+TT29Ug%203DHjzbDw0+Ksz+ud3et0zENj32wNC1bM1ZXH2TmNMv4ND5uN052tsTPzxhEW2wROzDqd4CC64CDb%20xS4uDNeQqbcE3OMVNNti4e/gANyx4THu3TNuS+hR3vg94gSMzSYO5etUgAAdF2BODvHG/x2Up+HH%20TTlrrdDk0M9JTc/Q/eFkxw5J7sE/Ltj4LOQGSuSN4ADtbalcreQfzuT/WN8n3uKg8ADaQeU5J+Mc%20Lj4HcB1aLuLlYDMWWdtlnlboHNWK/gnUjePEoOZXDi41LsgRTs+5+uGyQug/lueBTr183p5+Dtb2%20QdKKztjSveSe9tgsDgkqTnZt7s/djeOmjUfnjMzTbOmL4OayrQvqzd4M1s+//gjB3gihrtcnLuPH%207t6GHq6pPmTWjejGzuur/ujJm9xaTO5mUdbdzF6pDtm6iRabLgvDrks3juN+rU7JXtPL3u3VoQyq%20HdWtrU7CWO+xgMnanu+43eHfjg7h3v9L8Ta87BDnynDRlRfpTKnuV1frigB85FBD9mHNbSwOSr1g%208jTNQo3i8ODozADh8m7wIG7ew41LDHlLTMLXzyzEk17t77Dr/cwdL+/dMe/t+y6FVE15jt7Gz94N%20vn7iy3f0sq7Gjeszj9Dgbe1RDpCLg4TQC1bFxTBPK47Sx90lQvjwuYXXeou7K+7Cqa1LzFDw4I3O%20D5AOYx/lupQL32D2Hy71NI72MqRz5+zpEn+3SNvPOBf3OK3xGz/rntnvcfHeoLDWyUzcC5bsjRBA%20ZI8WAP1prDzuzG7t0GDABM34TmPduXg/eSYMstL5xXwzEs3ioX9DUq0Xs9+4HP/Lur//+7yfxurb%20+8Af/MIvS7k//MZ//MgvuL+f/Mzf/M6ffI7//NI//cdf/NR//di/v9af/dzf/e27/d4f/uL/veA/%20/uZ//tFb/ui//uwfu+rf/nNGzkZOOfFNF/UvCx0c6/Bfq+8PCGeCg4SFhoeIiYqLjI2Oj5CRkpOU%20lZaXjQxmm4MLmw6YoYQOmwqig6RmppCbC6evsLGys7S1treVAI66uL2+v8DBwsOZm2aDmpsMxIep%20q6fOka3M1NXW19jEvIzb2d7f4OHiiMnHg8bP1tGv64/T4/Dx8vO23Yr29Pn6+/zkxsjvBAEw5kqQ%20JzMLHvwbpNDYwnLmEA00c6Bdw4iH/w52m1ixFCpjBwodbFiwn8mTKMPhk5iypcuXw8p14jTogLlN%20IQUZA/VJoLJkvBTQ9GhooCuhRAeG9ISolEJeRs8gVWXQVTJQBs3oSlUSptevYC+tPDQ2rNmzaAlB%20NLYMoNYzB88h1Dn3zLu4cCkKItVVLtZoyR6cIYWP75lkdP96RCr4XcNVAdNKnvy1bCHLlDNrzifT%20Zt2ZgvHarfvuLqere5UVQsor2uPBekXqTaaAdWqqo029S9U28ubfwOFhHjQ8uPHjMf+Vw3cxYum6%20ExkAldoTNm6Gm1p7nOiw72iHZh401H79DPeCnnt/Rs6+fbDi5t3Ln99L5pmLz5Dmdf9O+vNU3KhZ%201xZ2b1lnykSCJeLbeLetopAr76RHl3f0VWhhLrtcqOGGlNhnnTnTLTRaQQEtMCAhnijmXYDRIIXV%20YIZIeJ8CLC62yQPJFDQRZOtx6OOPl2UI5JBEHibidyGN94BncpFYVyrdCaJfbs2c5tAynh14opQ4%207XWbkWwh+IAnJfXEXU5FpmkhfPCp6eZm4NX1nwIHOTDVfggdNBeUDuUE0ZajtEJKOp4VaMh/gSI0%20qFxakcRoVG9G6h6bklZqqSJ6EnTpppy+J2SnoLp5AJqCHEBhqKimSgmlqrbKIU2CaJKgq7TWes+n%20tubKXqYY6eprraz+KuywxBaLVrB1xiar7LLMioNss9BGK+20srAJwLXYZqvtttx26+234IYr7rjk%20lmvuueimq+667Lbr7rvwxivvvPTWa++9+Oar7778lkvtvwAHLPDABBds8MEIJ6zwwgw37PDDEEcs%208cQUV2zxxRhnrPHGHHfs8ccghyyycYEAADs=" height="296" width="811" overflow="visible"> </image>
            </svg>
          </div>
        </div>
        <div class="fig"><span class="labelfig">FIGURE 3.&nbsp; </span><span class="textfig">Number of workers that the APC has by age and sex.</span></div>
        <p>With
          a total of 148 workers, 47.3% of the workers are over 50 years old, and
          only 21 (14.2%) are women, so more must be done to increase the number 
          of women, taking into account that the highest percentage is over 50 
          years of age.</p>
        <p>The school level of the workforce is one of the most affected indicators, most of the workers have only 9th grade (<span class="tooltip"><a href="#f4">Figure 4</a></span>).</p>
        <div id="f4" class="fig">
          <div class="zoom">
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height="304" width="662" overflow="visible"> </image>
            </svg>
          </div>
        </div>
        <div class="fig"><span class="labelfig">FIGURE 4.&nbsp; </span><span class="textfig">Cultural level of the staff.</span></div>
        <p>When
          looking for the causes of these results, it was evidenced that there is
          an exodus of personnel with a higher cultural level, who only carry out
          their social service and then abandon their work, remaining those with a
          lower cultural level and other personnel due to proximity, living in 
          areas adjoining the cooperative.</p>
        <p>The exodus and labor fluctuation 
          generate difficulties in the suitability and experience of the workers, 
          where only 16 (10.8%) work in the irrigation activity and are 
          responsible for operating the central pivot machines, the knowledge of 
          100% is empirical and they only dominate the operations to turn the MPC 
          on and off, most of them have other jobs in the same area and as another
          way of income they perform the activity of machine operator.</p>
      </article>
      <article class="section"><a id="id0x4ca7100"><!-- named anchor --></a>
        <h4>Inadequacy and Little Work Experience</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <p>The
          head of the irrigation activity does not have experience or mastery of 
          the activity, which affects the quality and efficiency of the irrigation
          activity reflected in the results of MPCs evaluations.</p>
        <p>These 
          negative indicators affect the efficiency of the irrigation activity and
          show the need for a constant and systematic preparation of the labor 
          force due to their non-permanence in the job. That can only be achieved 
          through a training and advice system to the irrigator, taking into 
          account that experience in the management and operation of irrigation 
          systems is vital for their better use and that the operation of 
          irrigation systems is an extremely expensive activity.</p>
      </article>
      <article class="section"><a id="id0x4ca7780"><!-- named anchor --></a>
        <h4>Lack of Training for Workers Linked to the Irrigation Activity</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <p>The
          staff of the irrigation activity has not received training to carry out
          pluviometry evaluations, nor any other type of training in the 
          irrigation activity that allows controlling the amount of water applied,
          which reflects that the irrigation community is not seen as the engine 
          that plans, promotes and executes the strategies for the development of 
          irrigation in the territory.</p>
        <p>In this regard, <span class="tooltip"><a href="#B15">Playán (2014)</a><span class="tooltip-content">PLAYÁN, J.E.: “La innovación en el regadío. Nuevas tecnologías y optimización del binomio agua-energía”, <i>[en línea]</i>, En: <i>XXIII Congreso Nacional de Comunidades de Regantes de España, Palos de la Frontera, Huelva, España</i>, Palos de la Frontera, Huelva, Zaragoza, España, 2014, <i>Disponible en:</i> <a href="https://digital.csic.es/bitstream/10261/95754/1/PlayanE_XIIICongNalReg-Huelva_2014.pdf" target="xrefwindow">https://digital.csic.es/bitstream/10261/95754/1/PlayanE_XIIICongNalReg-Huelva_2014.pdf</a>.</span></span> refers that it is not expected that the technology that arrives in 
          boxes to a community of irrigators will be absorbed the next day by the 
          users, a process of maturation of people and a very individualized 
          training on the new technologies are needed. In addition, he states that
          public administrations recognize twenty years after the closure of 
          Agricultural Extension Services, the importance of direct and continuous
          advice.</p>
      </article>
      <article class="section"><a id="id0x4ca7f80"><!-- named anchor --></a>
        <h4>Analyzes Fitted to the CPA Conditions</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <article class="section"><a id="id0x4e5c280"><!-- named anchor --></a>
          <h4>Lack of Technical Instruction Handbook on CPM Operation</h4>
          &nbsp;<a href="#content" class="boton_1">⌅</a>
          <p>The
            APC does not have the regulatory documentation of each CPM, which 
            causes that inadequate irrigation standards are empirically applied, 
            where the change and location of nozzles or sprinklers between towers 
            also influences. Moreover, the existing humidity in the soil is not 
            taken into account to carry out the irrigation and although the 
            directors are aware of the usefulness and importance of the agroclimatic
            station, workers of the irrigation activity are not linked to it and 
            its data, due to the lack of qualified personnel, advising and training 
            in the use of this technology, which limit the determination of water 
            losses due to evapotranspiration and thus the water needs of the crop.</p>
          <p>Another
            element that shows that the advisory service to the irrigator is not 
            carried out is the lack of pluviometry evaluation and the incorrect 
            handling of irrigation systems.</p>
          <p>This means that the producer does 
            not know the working parameters of the machines before starting the 
            irrigation campaign, preventing their regulation to work with better 
            efficiency and quality of irrigation application.</p>
          <p> <span class="tooltip"><a href="#t1">Table 1</a></span> shows the 
            results of the pluviometry evaluation of three irrigation machines put 
            to work without their evaluation before the start-up.</p>
          <div class="table" id="t1"><span class="labelfig">TABLE 1.&nbsp; </span><span class="textfig">Evaluation Parameters of Irrigation Efficiency in Irrigation Machines before Start-Up</span></div>
          <div class="contenedor">
            <div class="outer-centrado">
              <div style="max-width: 1160px;" class="inner-centrado">
                <table>
                  <colgroup>
                  <col>
                  <col>
                  <col>
                  <col>
                  </colgroup>
                  <thead>
                    <tr>
                      <th align="justify">Evaluation Parameters</th>
                      <th align="justify">CPM: Nombre de Dios III</th>
                      <th align="justify">CPM : Arango</th>
                      <th align="justify">CPM C: Nombre de Dios I</th>
                    </tr>
                  </thead>
                  <tbody>
                    <tr>
                      <td align="left">Crop</td>
                      <td align="justify">Potato</td>
                      <td align="justify">Potato</td>
                      <td align="justify">Sweet potato</td>
                    </tr>
                    <tr>
                      <td align="left">Machine regulation (%)</td>
                      <td align="justify">20 %</td>
                      <td align="justify">25 %</td>
                      <td align="justify">25 %</td>
                    </tr>
                    <tr>
                      <td align="left">Applied Mpb (m3.ha-1)</td>
                      <td align="justify">250</td>
                      <td align="justify">280</td>
                      <td align="justify">280</td>
                    </tr>
                    <tr>
                      <td align="left">Weighted Mean Sheet Applied (mm)</td>
                      <td align="justify">19.68 mm</td>
                      <td align="justify">20.87 mm</td>
                      <td align="justify">20.17 mm</td>
                    </tr>
                    <tr>
                      <td align="left">Weighted Uniformity Coefficient (%)</td>
                      <td align="justify">63.8 %</td>
                      <td align="justify">69.71 %</td>
                      <td align="justify">65.37 %</td>
                    </tr>
                    <tr>
                      <td align="left">Weighted Coefficient of Variation</td>
                      <td align="justify">44,6 %</td>
                      <td align="justify">48.9 %</td>
                      <td align="justify">41.04 %</td>
                    </tr>
                    <tr>
                      <td align="left">Application efficiency (%)</td>
                      <td align="justify">78.7 %</td>
                      <td align="justify">74.2 %</td>
                      <td align="justify">72 %</td>
                    </tr>
                    <tr>
                      <td align="left">AIA</td>
                      <td align="justify">8 %</td>
                      <td align="justify">32.49 %</td>
                      <td align="justify">18.24 %</td>
                    </tr>
                    <tr>
                      <td align="left">AII</td>
                      <td align="justify">47 %</td>
                      <td align="justify">41.05 %</td>
                      <td align="justify">43.12 %</td>
                    </tr>
                    <tr>
                      <td align="left">EIA</td>
                      <td align="justify">45 %</td>
                      <td align="justify">26.46 %</td>
                      <td align="justify">38.64 %</td>
                    </tr>
                  </tbody>
                </table>
              </div>
            </div>
          </div>
          <div class="clear"></div>
          <p>The
            results of the three CPMs reflect that the application efficiency of 
            the evaluated CPMs is in the range of 70%, which is consistent with this
            type of technology, but could be higher if they had been regulated. The
            CPM Nombre de Dios III has the highest application efficiency, however,
            it has the smallest properly irrigated area, which means that the 
            application efficiency is not related to the uniformity coefficient of 
            the machine and the AIA. These elements have an impact on the speed and 
            direction of the wind, the regulation of the machine, as well as the 
            characteristics of the sprinklers, the topographical characteristics of 
            the soil, evaporation and wind drag.</p>
          <p>Despite the shortcomings 
            detected, it is possible to work to eradicate them and to act on the 
            implementation of an advisory service to the irrigator supported by the 
            strengths and opportunities and working with the related weaknesses:</p>
        </article>
      </article>
      <article class="section"><a id="id0x57a9b80"><!-- named anchor --></a>
        <h4>Main Strengths for the Implementation of an ASR in the APC</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <div class="list"><a id="id0x57a9e00"><!-- named anchor --></a>
          <ul>
            <li>
              <p>To have the equipment in the APC.</p>
            </li>
            <li>
              <p>Willingness of the board of directors for the implementation of the IAS.</p>
            </li>
          </ul>
        </div>
      </article>
      <article class="section"><a id="id0x4ca7080"><!-- named anchor --></a>
        <h4>Main Weaknesses for the Implementation of an IAS in the APC</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <div class="list"><a id="id0x5848900"><!-- named anchor --></a>
          <ul>
            <li>
              <p>Low level of schooling</p>
            </li>
            <li>
              <p>The advisory service to the irrigator is not carried out due to the lack of qualified technicians to do the activity.</p>
            </li>
            <li>
              <p>Lack of a training and qualification program for workers linked to the irrigation activity.</p>
            </li>
          </ul>
        </div>
      </article>
      <article class="section"><a id="id0x5849500"><!-- named anchor --></a>
        <h4>Opportunities Offered by the Environment</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <div class="list"><a id="id0x5849780"><!-- named anchor --></a>
          <ul>
            <li>
              <p>Existence
                of a weather station that provides part of the information necessary to
                establish the crop irrigation regime in real time.</p>
            </li>
            <li>
              <p>University interest in introducing comprehensive technologies for sustainable water management.</p>
            </li>
            <li>
              <p>Need to raise production indicators by making rational use of water resources.</p>
            </li>
          </ul>
        </div>
      </article>
    </article>
    <article class="section"><a id="id0x589b480"><!-- named anchor --></a>
      <h3>CONCLUSIONS</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <div class="list"><a id="id0x589b700"><!-- named anchor --></a>
        <ul>
          <li>
            <p>Of
              the workers surveyed and linked to the exploitation of irrigation 
              systems, 45.5% are not aware of what an IAS is and they are not curious 
              about the contributions it can make to their training and to the 
              irrigation activity.</p>
          </li>
          <li>
            <p>The low cultural level (45.5% reach 
              the 9th grade) and the little training are weaknesses that influence the
              implementation of the IAS, while the existence of a climatological 
              station in the APC areas and the willingness of the directive board and 
              workers are strengths for the implementation of the IAS.</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>
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        OSUNA, E.T.: “Evaluación del desempeño de los distritos de riego en 
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        de asesoramiento al regante como parte del enfrentamiento al cambio 
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      <p id="B3">CASTAÑEDA,
        M.T.; FRANCO, M.S.; GONZÁLEZ, E.C.; ESPINOZA, O.A.: “Evolución y uso 
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        noroeste del Estado de México”, <i>Economía, sociedad y territorio</i>, 8(28): 1033-1058, 2008, ISSN: 1405-8421.</p>
      <p id="B4">CISNEROS,
        E.; GONZÁLEZ, P.; SOLANO, O.; PLACERES, Z.; LAMBERT, M.: “El servicio 
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      <p id="B5">CISNEROS, Z.E.; GONZÁLEZ, B.P.; SOLANO, O.O.: “Servicio de asesoramiento al riego una necesidad del futuro”, <i>Revista Ciencias Técnicas Agropecuarias</i>, 15(4): 48-53, 2006, ISSN: 1010-2760, e-ISSN: 2071-0054.</p>
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      <p id="B7">CISNEROS,
        Z.E.; REY, G.R.; MARTÍNEZ, V.R.; LÓPEZ, S.T.; GONZÁLEZ, R.F.: 
        “Evapotranspiración y coeficientes de cultivo para el cafeto en la 
        provincia de Pinar del Río”, <i>Revista Ciencias Técnicas Agropecuarias</i>, 24(2): 23-30, 2015, ISSN: 1010-2760, e-ISSN: 2071-0054.</p>
      <p id="B8">FEVRIER,
        S.; SOLÓRZANO, L.D.; POMAREDA, C.; MONTENEGRO, D.: “Innovación y 
        gestión del agua para el desarrollo sostenible en la agricultura”, <i>[en línea]</i>, En: <i>Junta Interamericana de Agricultura (JIA). México</i>,
        San José: C.R., p. 104, documento para ser presentado por la Dirección 
        General del IICA ante la Junta Interamericana de Agricultura (JIA). 
        México, 2015, ISBN: 978-92-9248-581-8, <i>Disponible en:</i> <a href="https://www.redinnovagro.in/pdfs/gestion_del_agua.pdf" target="xrefwindow">https://www.redinnovagro.in/pdfs/gestion_del_agua.pdf</a>.</p>
      <p id="B9">GUIÑAZÚ,
        M.M.S.: “Estudio de caso sobre gestión comunitaria del agua de riego en
        parajes lote G y el 15, Municipio Contralmirante Cordero, Río Negro, 
        Argentina Cuyonomics”, <i>Investigaciones en Economía Regional</i>, 1(2): 111, 2017, <i>Disponible en:</i> <a href="https://revistas.uncu.edu.ar/ojs/index.php/cuyonomics/article/view/1338/860" target="xrefwindow">https://revistas.uncu.edu.ar/ojs/index.php/cuyonomics/article/view/1338/860</a>.</p>
      <p id="B10">LIMA,
        F.A.; CÓRCOLES, J.I.; TARJUELO, J.M.; MARTÍNEZ, R.A.: “Collective 
        irrigation network analysis considering plots irrigation scheduling”, <i>Ingeniería del agua</i>, 23(2): 77-87, 2019, <i>Disponible en:</i> <a href="https://doi.org/10.4995/Ia.2019.95" target="xrefwindow">https://doi.org/10.4995/Ia.2019.95</a>.</p>
      <p id="B11">MARTÍNEZ, A.B.: <i>Plan
        de medidas para la disminución del consumo energético de la actividad 
        de riego con máquinas de pivote central eléctricas de la UBPC-3 “Jesús 
        Menéndez” en la Empresa Agropecuaria “Valle del Yabú”</i>, <i>[en línea]</i>,
        Universidd Central de las Villas «Marta Abreu», Tesis en opción al 
        título académico de máster en Ingeniería, Santa Clara, Villa Clara, 
        Cuba, publisher: Universidad Central´´ Marta Abreu´´ de Las Villas, 
        2015, <i>Disponible en:</i> <a href="http://dspace.uclv.edu.cu:8089/handle/123456789/2585" target="xrefwindow">http://dspace.uclv.edu.cu:8089/handle/123456789/2585</a>.</p>
      <p id="B12">NAROUA, I.: <i>Evaluación del uso y de productividad del agua de la Comunidad de Regantes “Río Adaja”</i>, <i>[en línea]</i>, E.T.S.I. Agrónomos (UPM) [antigua denominación], Thesis (Doctoral), España, publisher: Agronomos, 2015, <i>Disponible en:</i> <a href="https://oa.upm.es/35511/" target="xrefwindow">https://oa.upm.es/35511/</a>.</p>
      <p id="B13">OLMEDO,
        V.V.M.; CAMACHO, P.E.; RODRÍGUEZ, D.J.A.; MINJARES, L.J.L.; HERNÁNDEZ, 
        H.M.L.: “Determinación de indicadores de gestión en los módulos del 
        Distrito de Riego No. 041, Río Yaqui (Sonora, México)”, <i>Revista de la Facultad de Ciencias Agrarias. Universidad Nacional de Cuyo</i>, 49(2): 149-168, 2017, ISSN: 1853-8665, e-ISSN: 0370-4661, <i>Disponible en:</i> <a href="https://www.redalyc.org/articulo.oa?id=382853527011" target="xrefwindow">https://www.redalyc.org/articulo.oa?id=382853527011</a>.</p>
      <p id="B14">PÉREZ,
        L.R.; SABATIER, C.Y.: “El cambio del módulo de aspersión en pivotes 
        según criterios económicos: aplicación a dos cultivos”, <i>Revista Ciencias Técnicas Agropecuarias</i>, 24(4): 25-30, 2015, ISSN: 1010-2760, e-ISSN: 2071-0054, <i>Disponible en:</i> <a href="https://www.redalyc.org/articulo.oa?id=93241002004" target="xrefwindow">https://www.redalyc.org/articulo.oa?id=93241002004</a>.</p>
      <p id="B15">PLAYÁN, J.E.: “La innovación en el regadío. Nuevas tecnologías y optimización del binomio agua-energía”, <i>[en línea]</i>, En: <i>XXIII Congreso Nacional de Comunidades de Regantes de España, Palos de la Frontera, Huelva, España</i>, Palos de la Frontera, Huelva, Zaragoza, España, 2014, <i>Disponible en:</i> <a href="https://digital.csic.es/bitstream/10261/95754/1/PlayanE_XIIICongNalReg-Huelva_2014.pdf" target="xrefwindow">https://digital.csic.es/bitstream/10261/95754/1/PlayanE_XIIICongNalReg-Huelva_2014.pdf</a>.</p>
      <p id="B16">SIFUENTES,
        E.; MACÍAS, J.; OJEDA, W.; GONZÁLEZ, V.M.; SALINAS, D.A.; QUINTANA, 
        J.G.: “Gestión del riego enfocada a variabilidad climática en el cultivo
        de papa: aplicación al Distrito de Riego 075, Río Fuerte, Sinaloa, 
        México”, <i>Tecnología y ciencias del agua</i>, 7(2): 149-168, 2016, ISSN: 2007-2422.</p>
      <p id="B17">SILVA DO NASCIMENTO, A.K.: <i>Viabilidad
        técnica y económica de los servicios de asesoramiento al regante (SAR),
        así como su repercusión socioeconómica y medioambiental. Aplicación a 
        un caso en España</i>, <i>[en línea]</i>, Inst. Universidad de Castilla-La Mancha, España, publisher: Universidad de Castilla-La Mancha, 2018, <i>Disponible en:</i> <a href="http://hdl.handle.net/10578/18475" target="xrefwindow">http://hdl.handle.net/10578/18475</a>.</p>
      <p id="B18">SILVA
        DO NASCIMENTO, A.K.; LIMA, F.A.; ROMERO, A.M.; PARDO, J.J.; PADILLA, 
        A.D.; TARJUELO, M.B.J.M.; NAVARRO, A.M.: “Respuesta del cultivo de la 
        cebolla bajo riego deficitario optimizado utilizando recomendaciones del
        asesoramiento en el riego”, <i>Tierras de Castilla y León: Agricultura</i>, (247): 10-18, 2016, ISSN: 1889-0776.</p>
      <p id="B19">ZELMER, H.; LUI, E.N.; MARTINEZ, R.S.: <i>Los
        indicadores de desempeño como aporte a la gestión del riego: estudio de
        caso en el canal secundario VII del Valle Inferior del río Negro</i>, <i>[en línea]</i>, Inst. El Canal Secundario VII Del Valle Inferior Del Río Negro, Argentina, 2018, <i>Disponible en:</i> <a href="http://hdl.handle.net/20.500.12123/4061" target="xrefwindow">http://hdl.handle.net/20.500.12123/4061</a>.</p>
    </article>
  </section>
</div>
<div id="article-footer"></div>
<div id="s1-front"><a id="id2"></a>
  <div class="toctitle">Revista Ciencias Técnicas Agropecuarias Vol. 31, No. 3, July-September, 2022, ISSN:&nbsp;2071-0054</div>
  <div>&nbsp;</div>
  <div class="toctitle2"><b>ARTÍCULO ORIGINAL</b></div>
  <h1>Evaluación del asesoramiento al regante en la Cooperativa de Producción Agropecuaria Amistad Cubano Búlgara</h1>
  <div>&nbsp;</div>
  <div>
    <p><sup><a href="https://orcid.org/0000-0002-5205-4858" rel="license"><span class="orcid">iD</span></a></sup>Caridad Sánchez-Veranes<span class="tooltip"><a href="#aff3"><sup>I</sup></a><span class="tooltip-content">Universidad Agraria de La Habana. San José de las Lajas. Mayabeque, Cuba.</span></span></p>
    <p><sup><a href="https://orcid.org/0000-0002-5703-6632" rel="license"><span class="orcid">iD</span></a></sup>María del Carmen Falcón-Acosta<span class="tooltip"><a href="#aff3"><sup>I</sup></a><span class="tooltip-content">Universidad Agraria de La Habana. San José de las Lajas. Mayabeque, Cuba.</span></span><span class="tooltip"><a href="#c2"><sup>*</sup></a><span class="tooltip-content">✉:<a href="mailto:mfalcon@unah.edu.cu">mfalcon@unah.edu.cu</a></span></span></p>
    <p><sup><a href="https://orcid.org/0000-0001-7038-0844" rel="license"><span class="orcid">iD</span></a></sup>Leonardo Sala-Hernández<span class="tooltip"><a href="#aff4"><sup>II</sup></a><span class="tooltip-content">Universidad de Artemisa, ciudad de Artemisa, provincia de Artemisa, Cuba.</span></span></p>
    <br>
    <p id="aff3"><span class="aff"><sup>I</sup>Universidad Agraria de La Habana. San José de las Lajas. Mayabeque, Cuba.</span></p>
    <p id="aff4"><span class="aff"><sup>II</sup>Universidad de Artemisa, ciudad de Artemisa, provincia de Artemisa, Cuba.</span></p>
  </div>
  <div>&nbsp;</div>
  <p id="c2"> <sup>*</sup>Autora para correspondencia: María del Carmen Falcón Acosta, e-mail: <a href="mailto:mfalcon@unah.edu.cu">mfalcon@unah.edu.cu</a> </p>
  <div class="titleabstract | box">RESUMEN</div>
  <div class="box1">
    <p>Se
      realizó un diagnóstico en la cooperativa de producción agropecuaria 
      (CPA) Amistad Cubano Búlgara para evaluar el servicio de asesoramiento 
      al regante que se brinda, para lo cual se hizo una caracterización de la
      CPA, aplicando encuestasy evaluaciones de campo en áreas de sistemas de
      riego por aspersión [Maquinas de Pivote Central (MPC)]. La información 
      permitió situar como fortalezas, la existencia de una estación 
      agroclimática automatizada, el interés de la institución para introducir
      tecnologías, la disposición de los cooperativistas a realizar mejoras 
      en la actividad de riego; y como debilidades que tienen, el bajo nivel 
      de escolaridad de la fuerza de trabajo, la no existencia de técnicos 
      especialistas en la actividad de riego, el personal que trabaja en las 
      máquinas de pivote central no han sido capacitados lo que se refleja en 
      los indicadores de eficiencias que oscilan entre 63-70% y en las 
      aplicaciones de normas de riego inadecuadas que ocasionan los bajos 
      rendimientos agrícolas. Estos resultados permitieron elaborar un plan de
      acción que conducirá a largo plazo a mejorar la gestión del riego a 
      partir de la implementación de un sistema de asesoramiento al regante en
      tiempo real, lo que propiciarán una adecuada capacitación de los 
      recursos humanos, un uso adecuado y eficiente de los recursos 
      disponibles, redundando en un uso óptimo y adecuado del recurso agua y 
      mayor eficiencia de los sistemas de riego. </p>
    <div class="titlekwd"><i>Palabras clave:</i>&nbsp; </div>
    <div class="kwd">servicio de asesoramiento al regante (SAR), eficiencia, manejo del riego, gestión del riego</div>
  </div>
</div>
<div class="box2" id="s1-body">
  <section>
    <article class="section"><a id="id0x54d9400"><!-- named anchor --></a>
      <h3>INTRODUCCIÓN</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <p>La
        agricultura se encuentra íntimamente relacionada con la seguridad 
        hídrica, es la que utiliza mayor volumen de agua, por lo que depende de 
        la disponibilidad de recursos hídricos apropiados y sostenibles para 
        producir alimentos. </p>
      <p>A nivel mundial este sector, utiliza el 70% 
        del total de agua disponible y en muchos países en desarrollo la cifra 
        es de 85 a 95%, con el inconveniente de que el agua de riego se extrae 
        más rápido de lo que se repone (Zetina, 2002, citado por <span class="tooltip"><a href="#B3">Castañeda <i>et al.</i>(2008)</a><span class="tooltip-content">CASTAÑEDA,
        M.T.; FRANCO, M.S.; GONZÁLEZ, E.C.; ESPINOZA, O.A.: “Evolución y uso 
        del agua de riego en los sistemas campesinos de producción de leche del 
        noroeste del Estado de México”, <i>Economía, sociedad y territorio</i>, 8(28): 1033-1058, 2008, ISSN: 1405-8421.</span></span>.
        De ahí, la importancia de hacer una adecuada gestión del riego para 
        optimizar el uso de este recurso, cada vez más valioso, en los sistemas 
        de producción agrícolas, pues, hace posible que en muchos casos se 
        siembre y coseche todo el año. </p>
      <p>Al respecto <span class="tooltip"><a href="#B3">Castañeda <i>et al.</i>(2008)</a><span class="tooltip-content">CASTAÑEDA,
        M.T.; FRANCO, M.S.; GONZÁLEZ, E.C.; ESPINOZA, O.A.: “Evolución y uso 
        del agua de riego en los sistemas campesinos de producción de leche del 
        noroeste del Estado de México”, <i>Economía, sociedad y territorio</i>, 8(28): 1033-1058, 2008, ISSN: 1405-8421.</span></span> plantea que “la producción de alimentos, tal como lo considera la 
        Organización de las Naciones Unidas para la Agricultura y la 
        Alimentación (FAO), depende de la disponibilidad de recursos hídricos 
        apropiados y sostenibles, dado que el agua de riego aumenta los 
        rendimientos de todos los cultivos entre 100 y 400%”; rendimiento, que 
        se ve afectado por la diversidad de situaciones que se presentan en la 
        agricultura con aspectos relacionados, con la disponibilidad de agua, la
        existencia de infraestructuras de embalses, de conducciones adecuadas o
        no, de las condiciones variables de las áreas, del entorno agrícolas y 
        de la gestión del riego, las cuales influyen en la eficiencia y en la 
        propia gestión del riego.</p>
      <p>Otro elemento influyente es el actual 
        escenario de cambio climático en el cual se pronostica una reducción de 
        la pluviometría y un aumento de la demanda hídrica de los cultivos como 
        resultado del aumento de la temperatura.</p>
      <p>Por otro lado, (<span class="tooltip"><a href="#B8">Fevrier <i>et al.</i>(2015)</a><span class="tooltip-content">FEVRIER,
        S.; SOLÓRZANO, L.D.; POMAREDA, C.; MONTENEGRO, D.: “Innovación y 
        gestión del agua para el desarrollo sostenible en la agricultura”, <i>[en línea]</i>, En: <i>Junta Interamericana de Agricultura (JIA). México</i>,
        San José: C.R., p. 104, documento para ser presentado por la Dirección 
        General del IICA ante la Junta Interamericana de Agricultura (JIA). 
        México, 2015, ISBN: 978-92-9248-581-8, <i>Disponible en:</i> <a href="https://www.redinnovagro.in/pdfs/gestion_del_agua.pdf" target="xrefwindow">https://www.redinnovagro.in/pdfs/gestion_del_agua.pdf</a>.</span></span> refieren que los niveles de conocimiento sobre la gestión del agua y 
        las condiciones económicas de los productores son también factores 
        determinantes de las tecnologías usadas para el riego y el drenaje, así 
        como para el manejo adecuado del agua en el predio y que las exigencias 
        en cuanto a requerimientos durante el ciclo de cultivo, disponibilidad y
        calidad del agua también son diferentes. </p>
      <p>Teniendo en cuenta lo 
        anterior, a nivel internacional constituye una prioridad las 
        investigaciones para hacer un uso eficiente del agua de riego; de ahí 
        que,<span class="tooltip"><a href="#B9">Guiñazú (2017)</a><span class="tooltip-content">GUIÑAZÚ,
        M.M.S.: “Estudio de caso sobre gestión comunitaria del agua de riego en
        parajes lote G y el 15, Municipio Contralmirante Cordero, Río Negro, 
        Argentina Cuyonomics”, <i>Investigaciones en Economía Regional</i>, 1(2): 111, 2017, <i>Disponible en:</i> <a href="https://revistas.uncu.edu.ar/ojs/index.php/cuyonomics/article/view/1338/860" target="xrefwindow">https://revistas.uncu.edu.ar/ojs/index.php/cuyonomics/article/view/1338/860</a>.</span></span> estudió la gestión comunitaria del agua de riego en parajes de Contralmirante Cordero Río Negro, Argentina. <span class="tooltip"><a href="#B14">Pérez y Sabatier(2015)</a><span class="tooltip-content">PÉREZ,
        L.R.; SABATIER, C.Y.: “El cambio del módulo de aspersión en pivotes 
        según criterios económicos: aplicación a dos cultivos”, <i>Revista Ciencias Técnicas Agropecuarias</i>, 24(4): 25-30, 2015, ISSN: 1010-2760, e-ISSN: 2071-0054, <i>Disponible en:</i> <a href="https://www.redalyc.org/articulo.oa?id=93241002004" target="xrefwindow">https://www.redalyc.org/articulo.oa?id=93241002004</a>.</span></span> proponen el cambio del módulo de aspersión en pivotes según criterios económicos y lo aplican a dos cultivos. <span class="tooltip"><a href="#B11">Martínez(2015)</a><span class="tooltip-content">MARTÍNEZ, A.B.: <i>Plan
        de medidas para la disminución del consumo energético de la actividad 
        de riego con máquinas de pivote central eléctricas de la UBPC-3 “Jesús 
        Menéndez” en la Empresa Agropecuaria “Valle del Yabú”</i>, <i>[en línea]</i>,
        Universidd Central de las Villas «Marta Abreu», Tesis en opción al 
        título académico de máster en Ingeniería, Santa Clara, Villa Clara, 
        Cuba, publisher: Universidad Central´´ Marta Abreu´´ de Las Villas, 
        2015, <i>Disponible en:</i> <a href="http://dspace.uclv.edu.cu:8089/handle/123456789/2585" target="xrefwindow">http://dspace.uclv.edu.cu:8089/handle/123456789/2585</a>.</span></span> propone un plan de medidas para la disminución del consumo energético 
        de la actividad de riego con máquinas de pivote central eléctricas de la
        UBPC 3 “Jesús Menéndez” en la Empresa Agropecuaria Valle del Yabú. <span class="tooltip"><a href="#B7">Cisneros <i>et al.</i>(2015)</a><span class="tooltip-content">CISNEROS,
        Z.E.; REY, G.R.; MARTÍNEZ, V.R.; LÓPEZ, S.T.; GONZÁLEZ, R.F.: 
        “Evapotranspiración y coeficientes de cultivo para el cafeto en la 
        provincia de Pinar del Río”, <i>Revista Ciencias Técnicas Agropecuarias</i>, 24(2): 23-30, 2015, ISSN: 1010-2760, e-ISSN: 2071-0054.</span></span>. Determinan evapotranspiración y coeficientes de cultivo para el cafeto en la provincia de Pinar del Río. <span class="tooltip"><a href="#B16">Sifuentes <i>et al.</i>(2016)</a><span class="tooltip-content">SIFUENTES,
        E.; MACÍAS, J.; OJEDA, W.; GONZÁLEZ, V.M.; SALINAS, D.A.; QUINTANA, 
        J.G.: “Gestión del riego enfocada a variabilidad climática en el cultivo
        de papa: aplicación al Distrito de Riego 075, Río Fuerte, Sinaloa, 
        México”, <i>Tecnología y ciencias del agua</i>, 7(2): 149-168, 2016, ISSN: 2007-2422.</span></span> trabajan la gestión del riego enfocada a variabilidad climática en el 
        cultivo de papa: aplicación al Distrito de Riego 075, Río Fuerte, 
        Sinaloa, México. <span class="tooltip"><a href="#B19">Zelmer <i>et al.</i>(2018)</a><span class="tooltip-content">ZELMER, H.; LUI, E.N.; MARTINEZ, R.S.: <i>Los
        indicadores de desempeño como aporte a la gestión del riego: estudio de
        caso en el canal secundario VII del Valle Inferior del río Negro</i>, <i>[en línea]</i>, Inst. El Canal Secundario VII Del Valle Inferior Del Río Negro, Argentina, 2018, <i>Disponible en:</i> <a href="http://hdl.handle.net/20.500.12123/4061" target="xrefwindow">http://hdl.handle.net/20.500.12123/4061</a>.</span></span> analizaran indicadores de desempeño como aporte a la gestión del riego. <span class="tooltip"><a href="#B1">Altamirano <i>et al.</i>(2019)</a><span class="tooltip-content">ALTAMIRANO,
        A.A.; VALDEZ, T.B.; VALDEZ, L.C.; LEÓN, B.J.I.; BETANCOURT, L.M.; 
        OSUNA, E.T.: “Evaluación del desempeño de los distritos de riego en 
        México mediante análisis de eficiencia técnica”, <i>Tecnología y ciencias del agua</i>, 10(1): 85-121, 2019, ISSN: 2007-2422, DOI: <a href="https://doi.org/10.24850/j-tyca-2019-01-04" target="xrefwindow">https://doi.org/10.24850/j-tyca-2019-01-04</a>.</span></span> evaluó el desempeño de distritos de riego en México mediante análisis de eficiencia técnica. <span class="tooltip"><a href="#B10">Lima <i>et al.</i>(2019)</a><span class="tooltip-content">LIMA,
        F.A.; CÓRCOLES, J.I.; TARJUELO, J.M.; MARTÍNEZ, R.A.: “Collective 
        irrigation network analysis considering plots irrigation scheduling”, <i>Ingeniería del agua</i>, 23(2): 77-87, 2019, <i>Disponible en:</i> <a href="https://doi.org/10.4995/Ia.2019.95" target="xrefwindow">https://doi.org/10.4995/Ia.2019.95</a>.</span></span> utiliza herramientas de simulación en el comportamiento de la red para 
        analizar el comportamiento de una red colectiva de riego considerando la
        programación de riego en parcela en Castilla-La Mancha, España.</p>
      <p>Otro
        campo que se ha abordado científicamente en muchos países es la 
        influencia de los servicios de asesoramiento a regantes como vía de 
        lograr una adecuada gestión de riego.En este sentido <span class="tooltip"><a href="#B12">Naroua(2015)</a><span class="tooltip-content">NAROUA, I.: <i>Evaluación del uso y de productividad del agua de la Comunidad de Regantes “Río Adaja”</i>, <i>[en línea]</i>, E.T.S.I. Agrónomos (UPM) [antigua denominación], Thesis (Doctoral), España, publisher: Agronomos, 2015, <i>Disponible en:</i> <a href="https://oa.upm.es/35511/" target="xrefwindow">https://oa.upm.es/35511/</a>.</span></span>evalúa el uso y la productividad del agua en una comunidad de regante en España. <span class="tooltip"><a href="#B18">Silva do Nascimento <i>et al.</i>(2016)</a><span class="tooltip-content">SILVA
        DO NASCIMENTO, A.K.; LIMA, F.A.; ROMERO, A.M.; PARDO, J.J.; PADILLA, 
        A.D.; TARJUELO, M.B.J.M.; NAVARRO, A.M.: “Respuesta del cultivo de la 
        cebolla bajo riego deficitario optimizado utilizando recomendaciones del
        asesoramiento en el riego”, <i>Tierras de Castilla y León: Agricultura</i>, (247): 10-18, 2016, ISSN: 1889-0776.</span></span> estudiaron la respuesta del cultivo de la cebolla bajo riego 
        deficitario optimizado utilizando recomendaciones del asesoramiento en 
        el riego y la influencia del asesoramiento en el riego de maíz; también 
        en 2017 estos autores, hacen valoraciones acerca de la importancia de 
        los servicios de asesoramiento al regante (SAR) para lograr un uso 
        eficiente del agua de riego.<span class="tooltip"><a href="#B13">Olmedo <i>et al.</i>(2017)</a><span class="tooltip-content">OLMEDO,
        V.V.M.; CAMACHO, P.E.; RODRÍGUEZ, D.J.A.; MINJARES, L.J.L.; HERNÁNDEZ, 
        H.M.L.: “Determinación de indicadores de gestión en los módulos del 
        Distrito de Riego No. 041, Río Yaqui (Sonora, México)”, <i>Revista de la Facultad de Ciencias Agrarias. Universidad Nacional de Cuyo</i>, 49(2): 149-168, 2017, ISSN: 1853-8665, e-ISSN: 0370-4661, <i>Disponible en:</i> <a href="https://www.redalyc.org/articulo.oa?id=382853527011" target="xrefwindow">https://www.redalyc.org/articulo.oa?id=382853527011</a>.</span></span> determinó indicadores de gestión en los módulos del distrito de riego en México.<span class="tooltip"><a href="#B17">Silva do Nascimento(2018)</a><span class="tooltip-content">SILVA DO NASCIMENTO, A.K.: <i>Viabilidad
        técnica y económica de los servicios de asesoramiento al regante (SAR),
        así como su repercusión socioeconómica y medioambiental. Aplicación a 
        un caso en España</i>, <i>[en línea]</i>, Inst. Universidad de Castilla-La Mancha, España, publisher: Universidad de Castilla-La Mancha, 2018, <i>Disponible en:</i> <a href="http://hdl.handle.net/10578/18475" target="xrefwindow">http://hdl.handle.net/10578/18475</a>.</span></span>evaluó
        la viabilidad técnica y económica de los servicios de asesoramiento al 
        regante y su repercusión socioeconómica y ambiental en Albacete, España.</p>
      <p>En
        el mundo existen varios reportes sobre la creación y desarrollo de los 
        Servicios de Asesoramiento al Riego (SAR) los que vienen mostrando gran 
        fuerza, ya que el volúmen de agua por unidad de riego es más limitado y 
        conduce a un uso racional y eficiente de la misma.</p>
      <p>En Cuba son muy
        pocos los trabajos realizados donde se aborda el sistema de 
        asesoramiento al regante como tal, aunque todos los trabajos en la 
        temática de riego tienen como finalidad llegar hasta el regante, en tal 
        sentido; <span class="tooltip"><a href="#B5">Cisneros <i>et al.</i>(2006</a><span class="tooltip-content">CISNEROS, Z.E.; GONZÁLEZ, B.P.; SOLANO, O.O.: “Servicio de asesoramiento al riego una necesidad del futuro”, <i>Revista Ciencias Técnicas Agropecuarias</i>, 15(4): 48-53, 2006, ISSN: 1010-2760, e-ISSN: 2071-0054.</span></span>; <span class="tooltip"><a href="#B4">2007</a><span class="tooltip-content">CISNEROS,
        E.; GONZÁLEZ, P.; SOLANO, O.; PLACERES, Z.; LAMBERT, M.: “El servicio 
        de asesoramiento al regante una alternativa para mitigar los efectos 
        negativos de la sequía”, <i>Revista Ciencias Técnicas Agropecuarias</i>, 16(1): 37-40, 2007, ISSN: 1010-2760, e-ISSN: 2071-0054.</span></span>; <span class="tooltip"><a href="#B6">2011</a><span class="tooltip-content">CISNEROS,
        Z.E.; LÓPEZ, S.T.; LEYVA, L.A.; PLACERES, M.Z.: “Consideraciones sobre 
        el servicio de asesoramiento al regante para las condiciones de Cuba”, <i>Revista Ciencias Técnicas Agropecuarias</i>, 20(3): 41-45, 2011, ISSN: 1010-2760, e-ISSN: 2071-0054.</span></span>; <span class="tooltip"><a href="#B7">2015)</a><span class="tooltip-content">CISNEROS,
        Z.E.; REY, G.R.; MARTÍNEZ, V.R.; LÓPEZ, S.T.; GONZÁLEZ, R.F.: 
        “Evapotranspiración y coeficientes de cultivo para el cafeto en la 
        provincia de Pinar del Río”, <i>Revista Ciencias Técnicas Agropecuarias</i>, 24(2): 23-30, 2015, ISSN: 1010-2760, e-ISSN: 2071-0054.</span></span> aportan algunas consideraciones sobre el servicio de asesoramiento al 
        regante para las condiciones de Cuba y como una necesidad del futuro, 
        además, proponen el servicio de asesoramiento al regante como una 
        alternativa para mitigar los efectos negativos de la sequía. <span class="tooltip"><a href="#B2">Bonet <i>et al.</i>(2018)</a><span class="tooltip-content">BONET, P.C.; GUERRERO, P.; DUARTE, C.; RAMOS, S.; RODRÍGUEZ, P.W.; RODRÍGUEZ, D.; HERNÁNDEZ, J.; LA ROSA, Y.: <i>Tecnología
        de asesoramiento al regante como parte del enfrentamiento al cambio 
        climático en áreas pecuarias de la Provincia Camagüey, Cuba</i>, Inst. Instituto de Investigaciones de Ingeniería Agrícola (IAgric), Informe técnico, Camagüey, Cuba, 2018.</span></span>evalúan
        una tecnología de asesoramiento al regante como parte del 
        enfrentamiento al cambio climático en áreas pecuarias de la Provincia 
        Camagüey dirigida solamente a la capacitación y entrenamiento.</p>
      <p>Sin
        embargo, se hace necesario tener una visión de los problemas que hoy 
        dificultan la introducción de un servicio de asesoramiento al regante 
        (SAR) en la provincia de Mayabeque, teniendo en cuenta que con el 
        desarrollo alcanzado en la informatización existe la necesidad de dar un
        salto tecnológico en cuanto a los SAR de manera que se proporcione al 
        agricultor la información necesaria para conseguir un manejo más 
        eficiente de las instalaciones de riego, así como los datos sobre las 
        necesidades de agua de sus cultivos. Es por ello que el objetivo del 
        trabajo es evaluar el actual servicio de asesoramiento al regante que se
        brinda en la cooperativa de producción agropecuaria (CPA) Amistad 
        Cubano Búlgara.</p>
    </article>
    <article class="section"><a id="id0xc4be00"><!-- named anchor --></a>
      <h3>MATERIALES Y MÉTODOS</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <p>Para el desarrollo del trabajo, se seleccionó la Cooperativa de Producción Agropecuaria Amistad Cubano Búlgara(<span class="tooltip"><a href="#f5">Figura 1</a></span>),
        situada en el municipio Güines provincia Mayabeque, que limita al norte
        con la CCS “Miguel Camacho”, al sur con la UBPC “Restituto Alonso”, al 
        este con el poblado de Güines y al oeste con la UBPC “Sierra Maestra”, 
        localizada en las coordenadas geográficas: 22°50`49.99” N, 
        82°04`08.11”W, 22°47`54.35” N, 82°01`51,24” W de acuerdo con el sistema 
        de coordenadas Cuba Norte y proyección Cónica Conforme de Lambert 
        (PCCL).</p>
      <p>La misma cuenta con una estación agrometeorológica automatizada.</p>
      <div id="f5" class="fig">
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LPUb2C3vlTV0IYmLD47GvOtU0G1N3FdW7hjIS0nPQ1%20t+HdVkltLu1c/L5ZwD2rKhQx27kMWDNxmoitTWWqI44hGNseKkCHHPWhAQKe+Qua0M0iNThuaVgN%20pJFIw703zN3FMqwfxDcB04pQiStlx27U185H0pUyo96CbDzbYHyk1G3mKBgA49qnWUDr1pxIPSpE%20Z0wWSaN3jwV4OB1p0NtFFIZI3wSOhNXiivjI71HPbpIPl+Uj0p3EUZplckAhtvXFC+Wq7ttYOsQX%20OnXrTwOWjfqCao22s3boyuOhqrXA7CIKsm9c1OJw8g5xjPNY0GsxJCRIVG1eacl/FNCHjblqloam%20acLS7X3nJ3cfSnIvzEntVS3ucAhmyewzViObe7ds8UrGiaYm5vN4HFSOxUjbQG2x8c0yOYbW3fhS%20YiVpVYhSM1x/xHlzokEfpcj/ANBauqDgNjHVeK4/4gHfokLd/tIB/wC+WojuKWx9e/Dj/klnhT/s%20C2f/AKISij4cf8ks8Kf9gWz/APRCUVsZHiP7XP8AzKP/AG+/+0K7LS7w2oDbiOORmuN/a5/5lH/t%209/8AaFdVcWFzag+YpxnGRXdhEnzJ+RzV76WOustaDwZY8irKa3FuAY9a4JLmRFIzgU4XDu33u1dT%20w6Mfanoo1NOCrZFMl1fy1wzcfzrjrC8kK4cnB6Vaumf5DuyAKydHU09poXrsWt1uCqqFhzsGK4/W%20dJMWJbeQjkjBNbhilWMSKc5qpqEgwAecCtqUeVmU5XRzUOpX1gjeennKeFEY5H1q9BrscuA4MRPG%20HqJuCcdCaj8qJmG5FPPXFdTp3MVOxvxSQ3Cjy5FJx2NSLabpACOM1kWtpDITmV4wMfdOOlWg9/aA%20mGSORQD945OSf8K5JQaZupJovXFkqZ7Vk3MpgfaOfen3GuFgfMjdc8cis6a6jlcfOPzranDuZzl2%20N6x1ox27Ix7cVSudTkl3Lnis1WB+6c0HJ61sqUUZObtYaeWJPrTcU+j+dboyGbaNvNSrGzsAoLH0%20FDRlW2kEH0NK6vYCILRt4qXA/EU6OJppFjQEsxwAO9DdlcNW9CvtphWuofwXqSQwuyj94cYA6Z9a%20ydV0mfSrxrecZI6Ed6zjVjJ2Rbg0rszAtGPWpNuKTbWxBHtpMVIRSYpgMxS4/Sn4zSYpANJLUmOl%20PxRjigBoFOVcsAOtLt61NAv79Djo3NRN2i2VHV2PTPANhAuhfaUAMjHDHuDXRhgjbQua5r4YXBk8%20P3aH+G9kA/OuxFuo+Y9a+dlUcpNs9ZRsrBFIZRyMYqpIPLZg1TGURtj3pTsn4PWo21GZXlMzsUHB%20Oc1RuLYqxJrpAiIpAxWPqAxGcVSYrGGTiYL2B5rahuIYIFkABOM1jbPmJqwhVITu544FWI8i/aKm%20M3gWyZuv9qJ/6Klrz74OqWXWcf8ATD/2pXoH7QxB+H9jgf8AMUj/APRUteffByTy/wC2c9/I/wDa%20lc9U2p7nqwPlwoD1NThv3J+lQNIsiJ/sjrStKFtyx54rmudRhzczEnrk1XL5kOannZdxI61WCZJI%20pmb3Ec+lOzhBSiBmJwOlOMDcfrVXIIySelOVGIqXZGi/MwFKZ40zg9KoRHHERnNTxwAtzVKXU0Vs%20LyagbWgjbO56UDTsbX2dI+pFVridUUrGcE96x5tYkboCe1QzXkkiFRwSOtKwuYLibzboohyVHJqw%20lmRGCOtVLJMzfMPmPU11VraGVBtXNIlLmZkx2JyDjrVpNPLdFrZe08qPnrToPlPNIvkMoWTIBkU9%20bBiyhxxWrcCMY+bmmTyr5AI5IpFWsY1ggg1ya2HG+I0zYEtlT+7xVmFBLrscg++6kVDcDYSp7f40%20Lcd9CJV4pHBPFAb0pruSasLaDWNEajNKANtOFMCOT72aYpy4xUj5HXpTU2q1ACsBu4qSLnNNyN2K%20epKYxUEj8YpCuenFSoA5z+lSRxsX2Bc5pDSMjVrMTWrgrnjiuKFs8isFO1t2MV6PeHarFhwoOa5S%20W0WGMXTDG7rWiYmjnrzTZRG25z6n3q9bWjppXmLkEHAFTTzRIqO3KE1s6LY3Go6lDCkZMOM02zOK%201MCVbm1uBcGRgCvANX4tYKoMjJYZzVrxLZm+s2NsuPIkKEisaSB7a3UK2G2ce5oQ3dHQQXX7sOXw%20CM4NTeYm3c+NvrXLYuJdLbLESDoao3d9qJt1tlJHI+ajluClc7hyHkXHAUYzXKePYTF4dhOc7rsH%20/wAdateG5kSxiWcEvtGTWL46fd4bt+c/6Sv/AKA1SlqNs+v/AIcf8ks8Kf8AYFs//RCUUfDj/kln%20hT/sC2f/AKISitCTxH9rn/mUf+33/wBoV7Hqtj5kWABXjn7XP/Mo/wDb7/7Qr1m+1Yb+WHvzXRQv%20fQzqNWMO80NygMYANZEts1u3zdq6z+00lIQGsfUtm2QZyx6V6cJy6nFOK6GclyAuOlWoL0btsnOe%20may2Uq1JvxW/JcxU7G8k/wB8KeFHSsW7l3ysexp63JAyDg4596gl5bPrRGNmEpXRXIzTCmOlTFQa%20aV5rcxuMVmVuOKlW6kBOD1pm2mlPTipcV1GpMSQmT7/zd+arSWkb9Btb2q1gjIpCOafKgcrmedPY%20FfLnfjJ69aVlvo93l+W2OmTV7aMcUuDzxVWFdFOG73nbJGyuOpxxmp0kSQ4VgTnpnmrMVu07YRc/%200rotB8DW+rpI0srwSDIyg6ZHWsKlVQV2aQg5OxN4I0Zrq9aeaLMaj+IdateI/C0txroFpFtjZOcD%20pXW2GnXGkxLFCquiqFyTywA6/WrBv3jI+0QYbHJUZrypYqXPzI71Qio2Z5xofhiS91iS1ukZVjU5%20bFdTofgmGxvRdTneUfKKfSuhtriyLF0wkjno3BNXUkjk+46t/unNRUxU5Dp0FEGUFcEdBXEeJNG/%20tfUGx8qxJkn1Ndu5whJ6YrFeRfOZsA9qmhJxdyqsU0eOzweTcPGf4SRUJWvQLvwT9pW4ukcjcSyC%20uHubd7eZo5RhlNe5SrRqaI8ypBx3Ku00YqXGKQL61sZDCKTFSlemKNtMCPbRipNtJt/nQMEXLjNX%20IkVWTA5ZqqgYORV6CZQ65UE9Kwq/CzWn8SOw+GcoWxvkU8fbZDXfPIBHx1rzP4dPst73B5+1v/Ou%206luCAea+faPVb1GXMhBJzVeO82dTVS7uwCeay5b7HenYVzdm1PsDWbc3+87Sax5L7rzVZrvPOaai%20BqCYZ5pTODishrv3qNrvHQ07COE/aClD+ArID/oJxn/yFLXn3wiAK6wD1/cY/wDIldd8cZ/N8F2i%205zjUE/8ARclcn8IMD+2Ce3kn/wBGVhVNqZ6RHcm2mWN+Qxq9f3ENvaqzkBTWJqE4jj8z+Lt7VSv7%20iS50FJHP3Xwa5kjdSJ5NWtDg8E1Wl12NVAiSqAsSYhIPuAVCluwUlsdeKvlM5OzLba1OX5G0fSl/%20tEyDl8VTa2dxwDUyWRcDIwR2osTca10zPwxNMNxMwOTgE1eWwUfe6mpUtI1GCM88UwsZyqzHn060%209LYk7tuTWjIqRfKF6VCZgOBgUxEP2Mum08EmpVsBwG/hpouOvNKLonoelAy7bWqgg45Brod/2eBf%20LIBIrmbKZmnUE8da3HfzI0bn0qGXFD2neX7xpY1BPJNCxk9KniRdwyRSNbDZFXYAASacsQeEginS%20siNg0q3Eaxj60hcpk2kDJ4itpD0BK4qtqEm2WQHqHI/WtRZA2sW7DjEgxWTqSE38yf7Z/nTW4NWR%20WRiTTmHzcUKnOKXYVbmrRIijAp5OKNtDL+tMY1yG21EEyx9qmOAQPSmqP3hNADVB3c1OflFDKFAx%20TkIY81BI+3BD5rctI0UByMkisaL5X4rasUZhk9AKRSMvXYwtlMVHLDFZFzZB9P8AKK5yuBW9rOPs%20p3dM1ki5Vovm7UXEzhb638iSG0l++CSPYV3XgzWJrVpokiDQtGcNjkYHrWVfaXFdXcV03JB5rX8N%20WjxXU8RGI2R8e3FU2JR1KRtrqwig8yMvHqDlwcds1ztxbSrrEizcIjkKPavS/EVwk+kaXbWiDfao%20oJxXDatZXN1qMrn5A3pRzCaM8xrhcH5Qc49as2WnQ3Vx58ycjoKlttM2Qjecla044hHGGGATxinc%20UYg9nC8YGMccVxvxAt/J0OHH3ftKgf8AfDV2kisgH0rkviLG6+HbcsODdLj/AL4en1CUT61+HH/J%20LPCn/YFs/wD0QlFHw4/5JZ4U/wCwLZ/+iEoqyDxH9rn/AJlH/t9/9oV1Mt08nLVy37XP/Mo/9vv/%20ALQroiPWvRwKT5vl+pyYmTVh6zuj7geakkkM3zE896rnrT4+4HevSaOHmYw5NMK9KvLb/LkjjFQP%20GFHFNSE0QYpPrUrJmk2Z96skiC+vrTniZOcZB71Zhs2kUmtOC1RrbEoyB2qHOxag2c+RnpSEVcur%20Xy5CY/u5quVI61aldENWZFikKVLjuOtG09/yqiCIITwtSNCyShGU7j0p0fySAn1roYlgnkinkUcY%20B96zqS5TSEVIu6PoLJbI7L95ck11WgWwiV3AwT+tV451a3iWHhSMcVo6ZE8CsD0PIryK1RyTuelT%20gol55AvBqo94u7acEUl5IQfQ1j3Ky7iyDiuWK0NZGqIbS5cSGJfNjUhX/ug02xsorPzBFIfmz+tY%200V3Ijckj1q0NRUYGapxDmZbkgu7SElblp1A6NxXNzaxJBNi5Qp8x6c5HrW9PeZj4bjFc9qEqucEA%201cFYmTub8GuWp0o/vACq5OeMCvOPEE8V1qjywkYI5ArXuPs72c0TJ/rhh+eorlrrTyrOYJCm5Qo9%20iK7cMuSVzlr+8hm31puM9qZ5dyjdd4yMf1pfNkUMXjxhsCvTucNiULtXkUrKDTVu4nCrkhs4PHSn%20rtboQR9aExtEe3mlAx2p+2n7T269qdySLFSxLmRcdzRsx9adGMMP0rOprBmlO/Mjo/h2oWxvmbr9%20sk/nXU3lxtXrXA+DNU8iC9iP/P05ro5byS5JCLx614Si7HqOWpFd3XJOayp7rrzTrky5OVrMkkOS%20DXRGk5bGcp2JHuT61F9q4qFjnNNKZ4qnRaJ9oiY3WaQ3GepxUSwNtZm4VRk1zuq3sh2yQOQithfe%20uWo1HQ2jqcz8X79Ljw3BCg+5fKc/8AesX4Svt/tfsD5P/s9W/iZ5J8K2bRPuZrsFvrtfP9KyPhvN%205VvqwHVvJ/8AZ65p6o2hodnfXBnuCgOBnpV+2jW40m4t8ZAGRWXbxeYzPIOegNa+lART+Vn5ZFxW%20SLi9TMhnzbm3B+71p6qvHsagltzBq0pU8NyRU6AN0qrhLcuIeBhRTH4cmnodsI9aZIHbGBQCQbi1%20OHJGfWlSF+4qQQnr6UDKN07+e+3OKqkOc7uKlupZNzBeOapnzn6uRSIuP27T87gfjQJYkz82fpVc%20Wu9v3hLVLHbIv3VxTC5oafcxm7XAPTHSts+YFOzO3NYNkoSdTW1JqSxQFO9JlRkWYzKVyWNPjJDj%20J71lnWPk2gYqu2qOp4qbF8x0tzs8sc84qozBV+9x9awpdRnkHBOKj+1ysmCTmiwcxrG5B1K1I4Al%20Wk1f93qlyf8AbNZ0EuZIiw5WQGtPWwP7Slz/ABNn9KXUpu6KMb/NmpHfJ4piqCOKfwKtCQFiKTeT%20SOSTxQvHWmMGJ3inAgsBQBuOab/y1oAmxleabj0oJ+X8aVV3AY71AiSFvmBPSugtJwbcbetc4uQc%20ehxWjauUXrxSGWdQRJUMbHtmuduLPYwweCa0p5y0mSc81Dc4dQQKAM13kiXbs3DtXRaChnm44Zo2%20z+VZJwVAA5rV8PziHUJCeAIWP6U2Nbhq8yWEYTjfiuelnedsmnajM95eM0jZGeKAFVfbFFgY1FJN%20TRKu9Q5PFT21vtUSy/dJ4FTebZbj8oz1FIWhXCebJtNcv8VHX/hGbSNRyt0uT/wB67vT1trhywAy%20DzXF/F1IE8O2/lff+2Jn6bHpq/MEtj6h+HH/ACSzwp/2BbP/ANEJRR8OP+SWeFP+wLZ/+iEorYwP%20Ef2uf+ZR/wC33/2hXWxWE0zMqLllzuHpiuS/a5/5lH/t9/8AaFdL4C1V9R8aatFI4EYVmAPftXRR%20rOk7dzGrDnsKV5560nRuKv6hbfZ7h+OM5rBOpQDUPIVtxAYk+lepKvGEbs8/2cm7Gn5j4wDTDzWN%20beI4p7ry/KwC2wHPU1vSQPGB5qlCRkD1FOlWhPYUqcluQgUqnBNETGSPJXHfFOI6Y5rdNMy1J4rv%20yuAKc967AgcZqsR/n0pMHvS5blczJVk3IQ1V5AGYkdKeFz04pTC+OlPYTuyvjFGMjj8K0rCxjumd%20JeBtIFQabp7Xa3KIebeQx49cUnVSdmCptlRV+YA9a0cGC3XBzzV2Pw3K1vv3Yb0xUVzby28Wxk+7%201NZyqRbsaRhJI1fDuoGSYK3QDiu5s2BUmvPdGjUBXXgg5NdlbXRCjB6152Iir6HZRempo3ESu2TV%20SVFOQuM06e5AjyDWRcXjbztPWuZRZu2RXMLbjjpVIqAeTjFXUuS3Dc1TuonbJUVZJFNdbR96se6u%20yWyDTroSqTwazJixJGDVpCeokt2c/NUHmrItRSBj1FNjibfXXSTUjnqWsSlB0FJtz2yPSpY0w43e%20takdlFLCXA5ArslPlRyQjzGNLboQpx3yKp/2fHGirbkphieufqK6O6sQ0G+MYKiqEMIZiGojNWKl%20F3Kkek3ssTvETjqOKTyLtFdvL3bcAe9dhb3cEVqsYxwMVVlML5VMDNYOs72NfZqxy3muJGWaMoqj%20O6pIJ4ZArhsqx+U4rVu7UE5Qbh34qkLZPNUuPunIA4q5TTpshRamiPweiP8AbPMIybtyPpmu7ghj%20UcY6V5x4Vi4vnjYhzdOAc+9dWmqyW4CXKn5RjzP71ecvhR3ytzM07mCMsRxiuVvLbypnxzk8Vttq%20AmHyHOelQ/ZfOUtL+Fa0qjg9TKpDmRgbTnpW/pmhie1Mz9ccVWnso4iuDkHrW/p9wIrMAEY9K1rV%20dNDKnTs9TPuvDjXmlS20b+U74y2O1eeeJ4oFshY2K7GtQ24n+L3r1W61aKG2dsgFVOB615F4l1ey%201hWkZhBcLjK+teXUd3qdiVjzTxzKreH7ZIxwLhSTnvsaq/w7Uu2oKO/lf+zU/wAbDOjxODlTcDH/%20AHy3+FP+GgG7Uj3HlY/8frH7JeyO4KbUwOMVNbv5dxE57Goj945qfysQhqzKiR6pAY9VlcH5ZFDD%202qmjbQMVr6zGPstrP3kTafwrF3ABR+dVEqRsWyhlUt3qcjHGO9UIpsRgD0qZJstyaLlLYsvIqrVZ%20rlR0NVpJGLtmmKpai4mRzfNITUWB2qw8DsTgUosyMZ70jOxXRB1p2wVY+zrGDuPanwJEbYzPwucD%203oTDlIo0xKpUUt1HiQ570/7Qi/cXntULs8kgY1QyMIN5zUjqipuYVKlrukRnPUVoC0heMbqm5SRz%20897HDtG3lqh/tDZGzbDkVs3el28zLt6qajNhEPlO2mmOxkpqcsksapGf9YrE10+suX1BuP4V/lVG%20O1iRgVVRyO1aetrt1DPZoVP6UnuaGdEdvWnY+ao15IqbHeqEhCuOlBU0uQOKcPu0xiKe3em4+bmm%20uSsynsadKPmXFAA0gC471JDIcr9KhK8k+1IzsrIV4AHNKwi3nc273q2hxHzVSM7gMVYLYwKVhkMp%20APFIp8xCh4x0ouOMVASxIP50rASsuzin2cnl/anHaFhSZWWLryKW2QmG87YjoYGT945PWrtra/aG%20GTxnmqpibcAOnr61radbTJC7FSSRxin0E2NuG8xto4VRxVCaHClV+/ir0lvM0beUhJB59qjXTLqZ%20ywRgai4Bp8620i25OJXG6vP/AIj6uL23+yqDiG4Uk++1q9E0/RjN4kBmkAEajdz92uL+KekR2Ojr%20cQgFJL4LvHf5HqovUT2Pq34cf8ks8Kf9gWz/APRCUUfDj/klnhT/ALAtn/6ISitjI8R/a5/5lH/t%209/8AaFYnhLVP7J8RQzmXBmcDr1Gelbf7XP8AzKP/AG+/+0K8rTUZItVgUZUQYzu7VlUTugse5+Jd%20cTzJEMgUEK2O/pXmd5rqwzXsyktiMqCD0NZPiDW5b6/BjkYdCRntgVFaWhu0IncIjh3LHoQATWVS%20cpSsTGNjV8Ba1Hca8ItSP7pvu+xJ6/hXt0epJfaZJYTbTc2SkmUdGXrn+leDm20+ysbW8s5RvyS/%20PT0rcTxVcXaXkkJaOWWEIB6jqa2VV00mhuCkrM6vTtb/ALQ1FU2lIiCFbPBNW7rWoLe8EHmL0O4+%20hxXnlpqD2GjSXm4/u8LFz/Eev6VntqU8sb3Uj529ffNXDGz5TGVBHqia/ZtEW3AbfvDPQ+lXbaZb%20qJZFONwyF9K8GGuTGURlyBuA69eeteg6Lqt0gtJ0kDMxKunqPb8K9OjiJSepy1KNkegKOc4rYtLb%20zQp4IIrMsJEnCzFfk2lsevFaWgSRXzTmGTAU42E8rxXRVq2IpU7k9vYupZ1GKzdPZ9M8ZT28x/cX%20ab4j/tDqPyrp3je3Az0I5rg9c8RRz6pE1myKtjOFldu+eoH4Vxznc6Yqx6PCyNHtB5qvdJFIdj45%20rB1HWG0rT7a5jYN5s6x49Qc1FqGrbbjhvvHgU4RbkTKSSJLwnT70rCflIzVqHW2VUHesmaZp2DOe%20elRjj/PSu32Sa1OV1GnodMNSa5QKmSe9LIzKBuU0eFbVHd2mHPbNb0lulxMQFAUHjiuCpaMrHbC8%20lcxFlWKINIMVBNqis3lqOorT122RLNdgAxXJ3cgXYw4xxVQSeopto1YYPtQkL4BxkViSSIHIZehx%20Wpaz+Zb+YGwRWfcQma4Cxj7xrWmo31M5t20M+VQzcDrUezHNW5rcxNg9utOgspbmQJGpOea61yrU%205G5MqAc5q5BOQuzsasWulPPJIjfKY+D9aimsZIbjygpyeAamcosuCkge5ZcqfSqLEgnFad7pc1lA%20kshzu/Ss/YWPSiCVhzbuMDMO5q/a2jTWxkY4x096ZbW29+RVy5mMEawx8Ac1M3F6IqCdrsqNOqKU%207jrVQ8sWqdYDIxYg+tLPaFYyyEZx0qHZRaKV3JGH4WKLa3nPP2uT+dbbyNL8hGR9KxvBqI1ldmU5%20P2uT+ddUiwIM4zxWFO3Ijed+ZlSPTCy+bC2CozUcl1cRKRMv/Ah0rQa7VY8RjC4qszJIvzcj3pat%20heysUVlM55fjtVhJJFhAB7VTubdM5iYqe3NTW0jiELONx9Vq5r3SI/EYHiia/iSMxnanOc968zmZ%203lkuGHBP5V6T43Mzwq0T4TGSPSvNp87HKEbduAD3Oa8iq3znXHYwfGbbdDiiCnH2lXDfVW4qT4Z/%20e1L/ALZf+z1T8VyXDaRF5mPKaZSvHQhW4q98MRk6mP8Arl/7PT+yV0O+ijD9e1TSuvkgL2pkp8pd%20q9aiVWEOT3qCloXJR9p8PnPLwtkVgsnUd81uaWrSx3ER5DocfWqPlrtBP3hxRE03I4WPl8jpUqqW%20cYpMY+lPRs8ijqMbKvz8UgDdFIqXPUGk2D8TQFiRVYD5j+VAJ385NMWQ421OoyARSFykbxBmw9Jc%20hVsAiqAFNPfOagnbMDr70LcHsVN4CikDnPWoScE4NAO4cetWzE0UclEqzlioIOKoxMBtAOSDzV2N%20hLgdPWoNorQRwRGdh5zUGxm6mrTqAmVPeoz97J6Uy0iMccd81r+IYz51se7WyVkNtB61s6+fnsWP%20/PstT1B7GCFZXxVpeRz2qq0paQ7RVmNDsya0JQDAbJqXjORTdh29KXGKYwIU9e1Qu+TUobqKrtne%20KAHr8y80Ovy4PSmsxyMUpbP3qAJYmxjBqxuyRVNWCtgUpmCuOfpSAmuSGwKbHIoRs/hVOS6BkwTz%20SGQlAIlLH6VNwJnc9UOMU+yvGMMrSKQjYTOOtLYaNe3sq7kKqetdZL4Y3aOlvGAHBBJ9amTKUTmd%20Q12xsIdqRK0gHAYVGnimY2XmR26qE5PHWtC78EtPMssqgtyT71CdGm+2W0AhxFvCuPUZpXHymHB4%20tngjkZ4TulbeBj9K0DruoLpsF0yqiztgeufStjW/Dds+t3DIgiit9uAB3xUvivREsPC+jqPmaQGU%20n0PamiHozkbfVL8ajLOyuDOzKQBxiuc+Iepeb4YtLB5C0kd3vZSenysP612bxXa2sXkqGKMCxJ7G%20uG+IunLY2G6f5ruS7BJ9F2tx/KqitRN6H158OP8AklnhT/sC2f8A6ISij4cf8ks8Kf8AYFs//RCU%20VsYniP7XP/Mo/wDb7/7Qrx+d/LvftD/Ms65Y/iRXsH7XP/Mo/wDb7/7QryO1VLjQLuCXieHBTPUj%20PNZzKRXmlAuF25IKZBPWo59TmaPy1YhVBUAeh61RMjYBJOVAGKYzgMxPrSjHURYF5IFALHaD93tV%20221aU3Hm5xuJLAdBn+lW9H0OHVNLvbhmYfZgjHHYE4NYlwi295IsJJjzlc9xVyhoK+p2Vnm68P3n%20mH91HIhI9CaisIXv/P023Aw4Dbz2xx+XNZuk6gTpmo2TH/Wojgj1U/8A169B+G0mmadbTy36LLdz%20fLgjIUGsaVO8rMc3aJnQ/CwXOm/aLe6V5sEjDcZqK0g/srTbOWdpFuorkI4J45/+tXqiy2fyfZHS%20FYzu2qcA+tcP43ijTUYygDQXaeaCvZlNewowSujz+aUnqdW80n2VrrT1c4h4UdD/APXrM+H+t3Te%20NGVhsWZDujb+96VveEpIpNLjmQlkdcFT2I9Ki8T28EFrHe2MKWtxFKCZYxgnPHJqpxckmKnJRbRv%20eM/FP9k2DlSNz5RR33GvNUkll0lpJQmJbtRIwHU7ST+ldDqs0fiLwxLNKo3hfMDf3WHWuO0/UFk0%20WaFs7orsMV9sda5J3UkbwfMd3K8lzqljC3zWrQ+aFPVWGMU+5jll8RQEYMSRlmBp1tPCmpwwuV3/%20AGZQgHX1NJbySS+K7tCCEhgUD3JOa9CFmtDkqNpluW5WK7htzy8uT+Aq3Em5+SOtYqBD4ljl80M0%20i4SMnlVHU49627jYm/BwAM5+laud00Y8tmi/N4msNDtvMkkCttzjNLa/EjSpVEe7bKRkgnkHGa8P%208fXszZe2eSRJHKqO/HpXMx6heWkiSzKwlIUnI54GK8epO0tT1IL3T6i1DWY5rFZjyrYwPrXD+I/E%20cUUTQxDEi9fcd/xxmuWsvGt1PobgqjG1WJiPboaq6jbtqF3qKiVvMjtftEOD1BHNc9SvZWidsMHK%20aUi3f/EOXT8QW+1lbBB+vP8AKvQNFvft9pBPJIglYAlVP3QRxmvGTpNrc6tYjLYuLTzFH+3jpXR6%20HqT2z6dKkjf6RmGQE8Bl4FKliHF3ZTwMpI9ch0oz30SycoxyxrqItPgtVVokUMoweK8ft/HN9C1t%20cvgKtwbaYdl7A1Yb4ganEJfOxm1uPKlHqjdDW8sZzaErL5Jnpn9nRrezXEbH97zjPANQSxRhssAS%20o615tN421K2FygYH7LKAcn7yHvVK68aajBLdRM2WtSsw5+9Gan60rlrL5M9H1Oc3aqhHyqaozWAj%20RHQZI61wP/Cf3EF81m8ZkBj85GAzxkf0zXcpqpMY+XIK120ajktDzsRRVKTTGC4EUxwBUFxIZpd1%20KPnl3HHJqVoFOWHTPGK6rqL1ONc0lZE5Cx24YenNVSjSo7r0AJqVlLARoc54FTC3khsZ+ONh5/Cu%20ecrRbN4R95IofDnRIb7w7c3LljJ9ulGB9a0722eG4fKYHTgcVmfDPVF0/wANXnmOoVbyQ5Y+9T3v%20jGzupMMMbs9PUVzU6tkkzecdWMkIMWAORUSQSSA7QcAUy3v4bwkwkEe3eultIVNouAuNvJrrjUSV%20zmlC7OYMLFTxx3zUltII2G9cj3rUl2EMqr9cVlbPMnZE6itOZTWpHK47HJ/ENfNiS5iLKoG1lQ8V%205bFdyTzQwbR5SPycc9a9s1e1a5tDGsauc9GHFefJpK6TaancalHGhePbAo65HpXDUopS8jopz0OX%208fWsVv4Ri+z8x/bUwx68xvkfpVf4W4A1Vj28n/2es7xNqE9x4bit5gV23KuQe52sKvfDEFl1RR38%20n/2esJ2todETv1JmJY9OgqeOEyKUXtzRHHjAFadrB5SHPU1m9i0rlLTgYL8KejAj9KzLmB4bp0J7%20k1ps3l6hGT2cCqurfLqJzwW6VFzRaIoj5RzSowBpWXPamLVDJQ240bixAFLEOTn0p8Sjd0oAQjC5%2071PHzGKhcbSwNSxHtUjHbSG9agm2R200knYCtOBEAbd6VnXyKba5VjxtouJpWObb7RLcNJF9w9K0%20bWBktwso5znNSxqsFtHgcNjHvWjhTbSZwGHQVTehCjqUoIwsnThs1Ih2sVB61PbSI8POMrUQ2ebg%20de1QaWsiTa5jIpFiJ61KZh5Z9cVEtwSvAplIhvFZLVmj+8OK2tbIaPTu5+zLmsS9kk+ySBVySOFF%20a9+T9i0534xAAc1PUGtDMVBu6VMG+YAUzd8xxTlYK3PpWl0Z6ji+EP1o3Z5pjSRr1YZNQyXKgYBo%205h2ZYX7+Qajc5eoVnYqcKSafFZXt0f3cbYPtS5hWEeRY1Oeah+0Egn8q37PwfcyYNxlV65NaR0XS%209PXddTpx70uYtI46BbmaVtilvwrUtfDt3dMCykD3rTn8Q6XYbUsYfNJ7isrUPEuqXbKtrtijx/dp%20XFoaaeGrW0Ia8nUEnpVO21zSoNY+xQRiQrIVJ+grDMd1czK93cMxDZwCah0OCFvF1widY4yzZ9cU%2090Tc66XxcYnK28YUc4qoviy9dmy5A7Vz0gLTHHQGpegxS5SfaHQR+K7xVG45Fdh4avo9ZTDRjevU%2015Yk+Jgj9K7XwvcNatmI4LkKv40nE0jM6i5srW8kmi3jzGOGFVvEOmz3VvCAPMWGMRqPTFc68WpL%2043ns7KQtKuSe+eMmt3StbvWjkN3CRGpxkj8DU7F2TOQuLe5iY26qQwIBrmPjFYJB4S0y6I/ey3AD%20H/gL/wCFev3V5pPlC4mZE3HGT615n8cLWFfA9jcW8okT+0EVcHoDHIf6VUJXZM42R9EfDj/klnhT%20/sC2f/ohKKPhx/ySzwp/2BbP/wBEJRXScx4j+1z/AMyj/wBvv/tCvFbtzFeICWVWB3Edwa9q/a5/%205lH/ALff/aFeETXDzyDexIUAc9wKzkm2ikNc7Rg8knINXpdJSTQ47y3kLyBsSRjr9cU3T7X7THPL%20KMqqkKD6mpbES25JhOCpywz94elUpJMLMu+FZ5ItN1lA7ANbhSnZiWxWNIwlRQn34xhj689fyqc3%20zQC7EC+X57KcegBz/OordDNcPPHFiNV2n64qpS90hJ3JtHY/b2VhhZFK5/DOP0rZ/tNtJ01o0x58%205OXzyoFZ+lRJDI32w7Y40Z8j++RxWdczm5uWBORu61Ee5T7HTWvi65S1jhklbcDjdnkg1oHxLJeW%20cSvhxbyM0e7+6e1cGGZs4Uk5qzBdNFE24nkYNPnkL2aPbfBnie1Fq0SqxLMD5aDO2ui1bUIb7w/e%20oI5G+QpgLzurx3wrqx0y8t7iErulIVwT2zXfXmu3dnqZSMIA/wA+wN8p56k/hXbTre5ZnHUo2loP%20ExvfDxjsC0Zkj/eKONhA2sPxxmuFt5jZX10rGTy5Idqsw43CulSW+gmvbmGNY7a6y+FPcHBrldTn%20M1jGnmSbwxJRlx1rOpNPU0pxszsPDiapfXK38LiZ8KnzN/qxjt+VdBaa+IrieGZf9Lll8pWXktiu%20P8C69cWKx/utlrvKTOevGf8ACtKwmsob621O7uGylw8hTHQHnj8MVtTqJRMZwvJnYppsGmXo1CeX%20dOylAHPQegrTu2A09pcZ4B59+orzrx14nW9s4LqxYCKGQgHOCSehxWzqHjO0t/DMRRxNL5aZH97g%20GtJVYpMyVOTsU45tNj1FheRxyCF3kRH6AnOK8312+imu3mib5XJz7c5xVvXNQWW1+3RPkz54HUGu%20YiAuLdllYgk5/GvJnLn0PShGx1HhuQOLqFm2/abcgZ9RyK6izu4lv9LleRVFzZvbyZPTA7/lXnmj%20mea7lts4McLOrZ6YGa24keSzj3jeSvBJ6ZrmlC2p7FGulHlNW2kSP+zpvMGba7aEc9Uz1+nNXC0d%20va3qCRAbO/EiHPY88VgGNsKFjAC/d56U2SFpVYP0c5b3NRY2jWsdZfT2wt9cgMygMI7mPn+Lj/Cp%20bu8s7m4ugZ0X7XYLI3zdHX1964yS3Mpw7EjvmmtaKxYNzv4PvSE6zZ3EV3bX7W5aRf8ATLHEnPIY%20Dg/mKpS3Ecs+nzuc+fbvbT/h0zXM28DwkMjFSowMdhU487bgueTmnqNV2je029soRbz3mD+4ltWb%20uvoa7LR9ail0/T97ktNGBn1I4/pXlt3B/wASqYAdMH681oeHbqYXCKXOy2YBF7YPWuunWdGFzycZ%20H207nsz+Ra2zXF3IERBnr2qG21q11O3b7HjaH259a8l8U+KrzWLubTrWTZEuEcqeCo5q1puqS6N4%20Utpkcs3nMFUc5I65qIYmpUqKUtjmdFRhZHq0bsjqwH3T+dT3N872kqdAykGvH7H4k6p9ojM9k3ks%204XJB7muz/wCEpt3tI4ZjtuJk6DtmvUnVg4s5lGXMjBtr6bTtBuMnMLXMgYeh7GuNm8SeVMyiQsrg%20gHuDnrW1dzTT6PcWlqd0hmJGe5JxWJq3w+1DT7D7UJBIVXzGGewGTivOV5LQ63o9To/CXilFiKSN%20hiVCAfWvWrLVozpo2v8Ae4+lfLGm6g1pdpIOCjAj6ivXtC8Ri60mGJADLMW2+2a6KMmtGYzjrc7a%20XWbeIyZkHynDYPIrAuPEz2c13cIqmKPofUkcVi6hqNraOwkUFzw59az9Q1i0jjMRQFJyDj1xzVSr%20JaAo33N6LW9QkikYpxIDsxXO+Ibe8utOSa9clo3yBWlPrUNrZqYflEYxj8Kh1m+iutKjxKF34J9O%20RUzqpoIwszyjxXKZbePDcCQAj3wa2/hUuRqx9PJ/9nrL8Wm1Olxi2IZhcct+DVtfCGPzG1cf9cf/%20AGesU7xN0elWcGcMw+lWbhthyvXvS5ESgDqKryvlS7d6lmyjYz7wFnZ16jBqXULf7dZw3KffUYNQ%20TOWjdh68VJZ3DPZvF/dORUje5m7jvOeD0qLzPmxWjPbCdS8XXHP1rGihmiJ83kgmnzBYuqSqEA8m%20mfaCpC9zVV7iU4EcZznniq08F9K3mRKflqgsapmBQM7Yx1zUqXUaIHLDaKyZdMv7uPGGXcnapotA%20vnVY237cY6VI7F6XWolVXUjaxxTftkN2kohIchTkDnNCeFJHt1iKNgHPStnw94JmhuDsX72azqVF%20CLlLZD5LnK/2h57BNhAXpx0IrStpvPs1aRSHJ5rrf+FfzhmIhUZOasp4FuPLwEA4ri/tChbcpUzi%20pY5EtZmiXOQeg6VgWulaoLouZGKheMmvarXwj5VrseMEkc1KPCiociIflU/2hRvuVKmzyQtdWkPK%20b2PtS2r3MgJMRH4V6nJ4VQEs8QwoJPFUNmlQgnC46V00sRCtrFhy2PP4dNv5rwMchfSt7WtHvJ9C%20tFg3FlOGxXQNqelQSIhKBiOKk1PxDa2GlRTIilZScD6Vpdtg1ocdaaHqcwUmIjjnir8fhG8dd8x2%204p0njiTzQkKBc+lVJPFl/IxG8gHjrVu4kka8HgtGQNLJx1zmpB4Z0y3bM064+tchP4g1eX5FnZUD%20dj2pwvJZl/eys2T3osw0OrNxoNhno+OO1Enia1SzmezhUGPgcVxy26MGLZYE96miAjtJ1HdhTsRL%20RD7rxHrN+7Kr+Um7sSOKrTRS3bqbmeRto5GaVTjvUu8AfhTsYOYkcESDCLz15pxO0Y700MW9jRgl%20s07E3Y9DyDiqumwpbeMfNQ5eZMMtXF461DbJCviW2cHExIH4VXQaGTxBZ3C/3jTT94cVYuo9mozA%20HjfTWHzDHY80ri5dSjcKY5A6jPeuj8Pa+mm3kNxcQ7lVMgEcZrJkAKE4yQcVu+G9MW+Fwb6MCOCP%205B65pXNIo6DwZqdrdeKL3U7oiPfGzKX4yfSr11dwXCWVtAAd4klfb6VTudCtvssCQHy5IUEjgdxT%20CYNOudTuT/qraz+T2J61L1NFdHPRalbR6xBaXS+bEHZnA56dK4v4vybdFtYoXY28l0JEQnphWH9a%203tBthfateaiGypT92rnHFcV8S9QF7bxomSkMyqDjj7rVcY2ZEpaH138OP+SWeFP+wLZ/+iEoo+HH%20/JLPCn/YFs//AEQlFbGJ4j+1z/zKP/b7/wC0K8EMbYGe56V73+1z/wAyj/2+/wDtCvD4kMl6pbgI%20ATUSdi4q5etAbREjkOA68VYMMSW4KN++Ody47VnX94pkBKfJg4HofWiLUd9up25mj4J9VqH3KF1b%20axLqmAR8pHcUabMy2TR5ARn3MPUCrmqwKtruXkMinHpuGax/KMQ29xg0XuhW1LMpN1eFLeTCbep4%204FQwW2Tg8AjGaZEDLljww6e9bUPkmIRtjcBkn0prQdiXT7OIfvFXcCMEkVUurJVimA42SDb+NaUE%200kKAlOW7U2+LS27N5eA7AH8OlJsZzxD2lyhZiADXS2+q3FzGoeVipTafpWZfRFoUZk/1fBqbRCVu%20UZT8rE49qetiXFNm+mu3xXYj/IPljTPSs/7fJe6kqzEN+8xz3NTmzCGdlBZzmQY9ayYIZZI2dYju%20MoZeetZXdx8iTNOXU54bR7IPsDSbnx3561Xnv555YAJSAIvLXHYdP6VFHZ307SlYi5LlcenrVJg9%20vqMMEXLfKD+NWptkOKuJql1KZIrZHZ0jUIufSrV5eLBbw2yIWG35fr0rqPFXhc6KtndSbSHjEpI5%205YdKreF9B/tvXvtN3iG2t42fJ53EDNS53NFTXMZbWDJaRTSDZtQHb681h3LE3EscPCAkiu31u8tL%20nT/KtQJJEc5YcYUVxlwQ9yoRdyKSxPrzUQYSXYu+HH/4mrE87oJF/wDHa6ezjBs4s/3RWJosIGsr%20ME8qKeNygznC7T/WtmK7SGxj3cfKKvcuGhMIhzxR5f5U3+0IcHYcnFRx3odRheQpLVPKac5TkL+T%20cSZOUbAH41CXljuoUfJG7njsTVr7QgV3KZduf6U77coK4j3E8ZpcrL9orFtUxxThHn8Kovct9oLA%20kIB6UfbpBIFVc55+lPlI5i7eYTTJwRwycVkabq4sGmBOSyYU/hV2WaSfTboONoVK428PlTKFbKkc%20mnKHNGxjN6mnaXBE0xd9oIIJ9TWz4f1lVsbmKUeaIz5oB9eBXHiXzFWLf+6DFjXQf2fHaWsE2n3G%20+5k4dPY9qfIooy1On1bWZD5XkRKsDSodvoTUGkSPqepySo2TGpYc9MVjtfXF7PaxtBtAkVNufvEd%20qp6Pqb6askcY+ZnIds9B3qJNy1Fy6mvFrn9n37mdcMWJQVcvPHZ+wrG43PtdV9icYP8AOuf1LE16%2097szGw/dj6DmsoW7XLBi2GzkL61UJWVi+W5BeoqTeZjh8vj3rq/BWpxW1w/2lv8AVRfu8+prmLnn%20du6Iu0e5qK2EuQsanIOMg1fNYTjc9Nksv7WRmZgszMSoB64Oa5q5Mqyq12mI458AZ6kZpdHur2y1%20E21+5jUt8x69QP6Vqa5bBbZ5IsOsYDq4PX1rnlNtj5LGZd6kgSSJ2yuCU/Hiql9frc6ekCSbQh2N%2071z87tuWaX7r/d56VYFuJbb7TE2cH5h+HNXayuTYqa/bRx6ZDJEcjzNp/I113waA/wCJyT28j/2p%20XEarLLJYJvbKeZgD0wDXafB7P/E4x/0w/wDalbx+AcfiPTZCd2ao3LlsIvbrUt3cBCEHWs+WRt+F%20++3SoubX0ILhyV2Iferuj2M8t0jBSIjwxNW7HSEtYfteoHHfBqjrfid7e1dbBdqgcYHWlqwVlub9%20rosUE7hpBhzwKgls9OhlPmyjOea5PQdYvby+jE5ZTgkgmku2kluZCzMfm9ajlZbkrHVNPosH90/h%20Vdte0iJgioM59K5qOIMPmJz9afFbRPLk9ScVaTFzHQ/8JTYIPljBI9ulSf8ACThseXAMdRXMNDAL%20iSLb+NbECstuuxM4HBxSaGmX28RXewlY8cVY+G/jG71nUb+G5Uq9ukhXPtUIEcltzgPjpirvgmxh%20tvEl4YkADwtux34rz8wt9WkjSN7leTxlrskjGOZgNxA4qObxX4iWyaU3ZUKMlhg4pmvxSjTJ2tF2%20YO0NjpzWXpNkw0O6huHLhiGY5qaeCoOC0KfMmaniDxh4ih8MWdzY3LLNI5DkCsk+OPFCaCkj30gu%20GBxhc1s29utxoK26DeYlYKPcUzwzYDUEZJYclFdMEdeK0jgqKWxnKUiv4F8SeJtU1xIdU1F5YGjk%203IQOflOP1p1naSOwimcne+BV/wAJaZ9n8VyAIUEUbgg98g0k7JZbLu4O2KFtzH0qKMIwxM4xXRfq%20F/dOP8dWDWes2QsZDmM/vAPSuh1ZYjoOm7+f3bN+NUvGcKpfWerRHdFcLgCrviBVFnpypyphyv41%206Jm3ucXpN79qMwcYZGIFX2csevSoRZC1c7VwWJJpTwetaPVjjsTE5WkRymKiycGms/3RQN6GrG26%202+poH/HvL/vCorL5rYk9jUvS3kPqwpEz2IBk4NSDk4pgZQQPWp0XjB70HIKqAVKuOlKqgLzQAM0i%20hQMfSqq2yJ4itLhTmRmCge1XNwHFUZI5Y/EllcD7isAPrnigEWNQiZb+Y453UxflUbutXdYZv7Tl%20XbgqcmqAYODTRTHkhSG9TXXaFqtpEkaXGPRq5NYzgelSKh7fQUmi07Ho84t75pJtPkDSMgQj2rO1%20bSLoeGtUkePc1x5cQHoM1yttfS6bMXEhzjgZrtdH8Z21xGltqYAWU7Vz3NTsUpXMO08OxG9aCAbB%205ag49TXC/Gjw9BoHhyCCJRvW+QO3qTHIf6V7Tp6WNzfNPYzK4STDgH0rzL9oaI/8I3HcMciXUotp%209vKlrSEtbCmtD3r4cf8AJLPCn/YFs/8A0QlFHw4/5JZ4U/7Atn/6ISitjA8R/a5/5lH/ALff/aFe%20UG1hi1ieKdxEPLJBI6dxXq/7XP8AzKP/AG+/+0K8o1UJJcwXUPzpcwrkZ/ixg1jU6G1O1mZFzEJ3%208iP99KvAYcceldYPDVlZeH44Avn6lcjhAeQT/hXN2AYztsYIzcbiK09N1RrfVMzsZJg3DZ4Xsam+%20hSLGsWjR6ckAIBUKjHH3tq/4VhTQEWCP94AkBv7wra1y7jMlswOdsROc9W24rIlDLpcOG4cnI9wT%20SjsD3KCK7MEiT5s8VK1neIWBU+pqxpKFr7O07RwTXSbMTK2AeNprSJJzNnqM1rdN9oGeNuDWpb3M%20cqp833nyV9MU/UNNju4mKDDjoaw7Oc210Vm7HBFS1qGxvapGF0uUoPmZgf1zUNnHJbW6JAm9icj8%20atPKLy1URDbH3zzmrVsuyFVT7xGAfeqWqCx03w/cTaheJeWv2lo4MkZxsJ71gTCKC8Ewj8wRM7Mo%2046OOfyqbQYJBqMh+0+ReMuWPZuemK0tauUtZ7SCO2w9tbSR3T9izHIP5CsJL3rlrVFC01aFrufUY%208R2kN0GGR1wMn8yQPxrD1hEuPFH2uwGIzsYD+8xA3frVjxOgRWhsB+4WJXm29N2Af5VhGeWKGEbS%20ZAm5DVolnoPiTZHqzWtnN9stLuCNVTP3HPbPsai8WpB4bgt7fTyY7hY8OQc8kciqfgTw9/a+o2c+%20rzsY5S0j4bG0LSeJJLfXfiBZ6PpkbhLi4ii3M27OTjP5Vi02yltcbomgzR6TdarfIy27R/ID/wAt%20CaztE0lbyPULyUYERUFfY/8A1q+h/HPhyK38H/ZrGEL9mjATjj7pH88V886PeXWiXt7ayoZFumKu%20MdCpNKLBk1vNZnVLS2sxhoxLvGevynmrdlYpPp8bM3LdvSsPQSz+MYg65MhkB477TXVaYhFhED2G%20P1rZfCEdSIaXCB+FRXCwabbPMRkdPrWptxmszWYJbqGKCH+J+TjpxUOTsaxirlA3NmrEbeQmQc9e%20OlIl3A95DEI/ldck56HrUf8AZ7NbyJP8kqouw+pBNRros8iF422MNu3Pf1qVJlOKRatroyzx7ov3%20cjlfpWvHaxRklV6nrWZp2m3Fq4ZmGN3Qitr+KqTYmkUtSUJplxgYyvPvyK4G5R2LDb64r0O+j83T%207gHtGSPw5/pWRDoscmmzShcsFVwfTkZNaL4bmUldmJB4ekSyEkvG5c59PSqMYmS4MQkKurYA9c12%202qbbTSEnlYBW4HuR0rgxFMNQVckszZB9TSTbuRY2rm/MMwZPvxkNn0bvUemxRymZm++3T2NSanoE%20yQGcSggfMy1RilFtfW6K26MnDYqbaA0aFyjWugxSySZZmPy46CsKS43BXR+nBxXU61Ck9naQJIu5%204wT7ktiuXu7A6detbytk5wPeinsEh1vuubdh1xWpaSLa2ke9M7psl/YcVL4d02PUZru1jYKBGX+m%20Bk1EYZEt2CEPErfMMUpS1sO3u3NCw1SC71K9gu/9VcL+7b0bPH6U6W7ktfLiZSYgWU5P8Q4qKPRr%20e5tBdxPsdJACufuitDUbJVkujnKNGpx6McZNYtq5SV0YOs2UFpZxOj75C2XX071JZ6Pcx6LNq9sC%209sjbHXHTNMvt13BtX5stgkDriu+0W8tdI8I6noc9uZFvSrBv7jDFXzpKwlG54/rYAI8tCkZbKqfo%20a7L4RvsXWD/1w/8AalZ3xDsILRbR7fADjp6ct/hU/wAL32LqvOB+5z7/AH66Yu9O5FrTPQ7qRQ4Y%208sTwK0rO1isYftl6Pm6opqLTrBFi+36hwg5VTWfrGovfSfKcRgYUCotctsbquqTX74DYQdFFYd0c%20xHHPPSrqqQoLVUYegyMnNaLQh6mnoyw+YWUfMqEk1DNzOxHQnNX9HttlnLKV++nFUZFxIfpU3dxt%20aEaNyT2p8aEHIqKPmPaOoNSwOd7Bugp6giikzPqDxAE4zzXU6fkWnzDiuehaKO/5BySRwK62GNRp%20nHG7pUSLiTiNZbcPDhhjkjtWx4XgEeuTMP4oWz+VR+FdOhOjXLeZvCq5PPervhqIDUpTn/lj/SvL%20x9vq8kdkDK1h7dtIuYUYGTJbFYFlE76bdnpiHJro7qxtluLmbdkopLLWBpd2s11fIV2wPEQvFdlF%20/u0TUXvGx4LiRbNJpvnKswI9c10ET2dne+bEgjiXrxisDwsFTSSyNuDOTWxcxLLEY/4cc0OT5xcl%201cxtP12PUfFl0LAARxpJlgOpCmuCH9t6tc3AlXFtMPukdK3/AAfEtt44u44jmICQ4HrsNTaTqZlY%20QvEI25IyMZrGn/vU/RfqY7KxjX0E8GkYvHBit1AjBq9qUrNbafkfKluME1b1uzTUNOdWcKMjjPvT%20fE0H2OK2hI+5bgGu1bkSWhzjMWjBJyagblgO9OC+VCozuJFMDfvAas0itBrZFIw+UE0rnd0ofKxr%20TJluXbNiISOxNTr/AMej/wC8Kq2jfuyPerKcWrj/AGhQRLYj2AqH7rVlW6FupqBW4xUmc4oOYnRs%20k0/FQxE7j6VPSGGM0kmFCO3VHU/kaNwHWsrUNato5Wg3DeFyRTGb3iIH+0mkT/logb9KzYoyYVI6%205rRun/tK0tLyLlWiC/lWfKxjj2rw1NFNE3mAnavYU+B/3oVvXis+KYwIxcck1btgZlEncHihgExL%203Lbuma0ri5tJbG1sVKpcAFg57elZ8oLSVm6qSkcUqD5sn5vTFAtjr/Dvhq5tbeeaO/Kuys7kucZ6%201xnxWk1Jfhvp8WrHe76gkisPTy5Mfzqwmt3j2yww3DBp/k2g9KtfHGaJvA9lCj7mivbdfw8mXP8A%20SrUbag5H0N8OP+SWeFP+wLZ/+iEoo+HH/JLPCn/YFs//AEQlFWQeI/tc/wDMo/8Ab7/7QryHUrSW%20xhjjdvu5I9ua9e/a5/5lH/t9/wDaFclrGjQyW8MznlXMZz3AHFc9aVmjakrpnGaRb/aro269sPu+%20lZt35kN20iHEgY5H0NdzpWlNaI7xJnfJgtjtiuV1iymS8lkZCBIxYcVnGV2aSjZFCaaWYruOc9BV%20uH95ZrETykhBrNSQrweucgmtKKQNiQcbiCQK1IRqWcXkbvl7g5q2suetZT6oAMBTiozqx8wBVq1s%20VY2RJjp1rm9WXyNSLqBhxuH1q5/ar7jx2rP1Odrl4ncAfKQPzqQktDX0u782Irjt0rTE7QwAoMsv%20NczYXLW0ZIweMVeTUJXibkA4OM96AtoaB1eY6oJIwI9ybSSOmP61JNqU95pU6SEmVZUDP6qQQKxP%20O82F1k4fIKsKtC5LWM8eNpxGGJ9j1rGWw4ovfaUbw7eRu3+lGZUAPVh/9bFY6yMZlkbgouwZ7cVL%20FF5sm/dmQSDC+uBmln2HzLhSpBYhl9KEEkdd4K1aCz/tD7RKMLbERDPc8GrfhWG2tfHmk6xeuqPH%20MrNu6DPyj8twP4VwNmkrXETRKzbySVX0rc8yWe3Rg2JIXD47kA5qeppGOh734/8AEltL4N1AQ3IM%20hiAXaeprzHxTbWc+jWL2aZmRlklK9Sdoz+dVtS1P7Roc7ScDYGCn6g0T6jbyWUzJldoyoPfvWexr%207NWM6ysHs9YsZ3hKMspJJ9+lWrG/t4rBVkkUOpbIP1rN07XpLzX7JZuf3m3Hb2q/pOnWM8Dy3O44%20ZgQD0Oa2p7amTi7pItNqNqF/1y9KhbU7UZxIprQh8OaddIrxbgCT1PauW8YWcem6lFDa8IY8k/jV%20rlZXJKJHqtybmdzbyBQy4H14/wAKrq0rMWNzgY6ZNUIJSbSdm6q6Ae2c1rxy26WqSMobC84HQ+9D%205USoyZqtq0MarnJ45qL+3bcN0OM+tZf2i1vbWQyKU8tMpjjnPOaxLplLnyWO3tk0RsyNTrZdft3t%20ZkUEsyEL+IxWrpKtDpN4cby1m2369a5E6YILOxnIP76EuT9M/wCFdJoWsRqkyHGEg+fPTHes6krw%2090cYPmszm9Xlmm0mLeSxz07Cskb0EUoPIOcn1rpvEd9C2xUiCKBg4HB9656OZUgdNuRngmiGquOS%20SdjQhvbm4ileRsrGhP17CmWOmzT6xbI8f7kPjOPxp1gEhhiM5wsx5HsK6K2nH9oQWo2rInI9xjrU%20TlZ6DcTn7+JtrNGT+4yF55xuqCdX1iRmxmWJFAwOvNWY7Ge5v0WdjHBJKwZj6Zrb0yC100Sh4z87%20bdx/z71LnyomybMXw/He6Td3e6FgXgKBiPWr0WnXE1kJ4ozs2Etx3zzXfyWlimjpMoBby8nPXpXM%202V+tvZyW5Iy4KKOwBPWsPbczNVDQwrbfb3iwMp8u4TJ98EjP51Nqqs+ox2yMTvQgkH2pDDdHxJAY%20QHSIbDxwMn/JrQ1CyeyuUbbuJc7D3PHFW5K4o02P0TRJrQNLd2xMYJHI/iHam6nfCG3uLlyAJJDs%209sDFa9heTXPh0rcybXCh2Geee9cZqtndGPymy1uZflP15rOL5pal8qSMjxdcrPpsRBLFnjO7PA+V%208j9a3Pg9YpdzatJOcQwiFnz3+/j+VY3i21WLQbeSIfL5wXP/AAFv8KsfDe7kgt9WhjOBN5O78N/+%20NejS/hHHL+Iej6zq326YQQnbCnAAqoE3RLxyKrwpuYZqV59jBR0poTRE75JB+lQ8EbBU1woGG9ar%20umFYg80xpHR6dLtsSjdAOlZl2nzF16Zp1ozG2dt3AWk5e2f25pR3La0KcDCF+ec1agQNISf4hWXL%20Kd+VHTrV2xdnyTxiqZCZCQUvwETJL8mupgdp7HyycHoKwGlZdVK7PkZAc+9SxanJDq9tbY+SQ9fS%20s5GsVqd34MgNtBdxuf3TfKK2tFhjiv5thzmMj9KxUulsrHah/ePz+FamjHZq4BORLbFhXk5gv3Mm%20dkGUrqy8mO6nPzF0YEVyGiq3lT+aOBG3Su6vyRps5Xn5GFedeFVuk1Ro5JfMhlVgVx0zXdh9aaIq%20bnReFnB07CDagfgVLr/iSDSMRspeRgSAozUWlGS3hvYBEVaFiQfWjS1t728tp7pRIzAjBqo6yFJ2%20ic94EkeTxpNcsCiOkj7SP9g1v6etj4htLW90zaGikKyr04o062R/ik8UbAQ/ZmG0DplTXHRC40J7%20m30yQjMuOPXNZ0l/tU/Rfqcreht6rAzq8Mbkv5i7R64NP8VX4vCi4+dIwrfUVR0db3+3IftpL5bJ%2046VNrlzGZLiVI8MXORXXazH0MFlZY0DelREENVmabzChP90VC3XNM2jsRkHtSOxIC9aduypzTSm0%20hqCZE1qxBIq4v/HuxH96qlumXaraHbZuT/fpmMtheAM9KfwKqNOoPzHimSXfHy0HMX/OCr6Uj3ir%2015rNaVyoLGoSxJ5NAXLk2obshe9cvLpzXervcbuCpFaN07CF2Tg9BS6IPPkU3R8tS2MnvVx2HFnb%206HEYvB8G/rE5XHtVe4thNIJE/KrunXEMuj31rAQTC4JqiHaLJHTrUG/Qq30O6IBBzuptpcmJSp4C%201cyspDdqbHaRG5ZW4DDNMzsPVlZRJ2IqsYRcW8iMMgE4q9axxCPZu6nArc03RoWt5ZZGACrnnvU9%20QscFpGnMPE8RQbtpyAag+LUEsvhhL4k+V/aKRY9/Lk/wr0rQfDUE2prqNu6vwQV+tcf8aLb7B8Nb%20W2fh21hZMe3lSitE9RW0Pob4cf8AJLPCn/YFs/8A0QlFHw4/5JZ4U/7Atn/6ISitCDxH9rn/AJlH%20/t9/9oVgXiqdLImkwyEOm49eoxW/+1z/AMyj/wBvv/tCuN1a6a402EyptDEjcvbvXJiVdo6qGzNK%20GVorVQeBJGD+OaxtWtJQm4xlgzbckdMiui06FLnTrMtkqY+prSksVuYtrfdDgjPtWEdDRq54TICs%20hHXBrQshuiPHGal8QW0dlr13bxj5Vk4z6U+zONOldVzgnmundGNtSkepHaowf3n4UrN84/Om5xJm%20tEWPz81QsfOkCHOFHFSLzntx3qQwKirIjYbPINJgxNu3oCOKswQmQZBA7DPao1Tfl5Gwq+hoNwFj%20AA/AVNwHsMOVXDbRk4+mf61ZBFxDOwGP3Skin6XPFb3TSNGjpjo3oaVGWWHUZYQqoAgPt81RK4o7%20lS1klhmV1Qt1GcdDjH8qjcEzBE4RjkZ6NU/2n7OrgHPzbvrng/pTrXy3WNm58sHGelD0QbnV+HLK%20KdVhgH7+Mncx6AYqCS9tEum3rtZcp8o4Pap/Dtx5VllXSOWTKls4JzVs+EEn+9MMsCc57mudy1Oq%20MdDPvp4zpkyRyJICnGDngVBMNtj5i5b9ypIH0rXn8N2+m6PdkOGIgY8HocVXTSppPD0d1EV+aNOG%20PbFHMmXqZPhS0S78TWRXcds25h7ZHNaRu2sNYuLdUzGboqFA6ndR4MtJI/EktxEMR2hUSZ75NdNb%20aDFd6hcXThiTMXTA6Hdmrc1FMxUW5IntnVDv82JVXKGMHnNcX47nEmswAAcQ44+tdxH4JNze3Fys%20soJkDhR096zPFng4ajdW1zAxQABNvfjqTWcasbm8m7WPNk3R6dcFv4mT8OtSWd4B+4fGyRxuJ7Cu%20nk8MwqjQzSMGnlVVA9FBOajXwxY3Uwa3kdlzs2r1yKv20WcylY5O8ZoLuWJX+Xccc9QagD4+hrv7%20XwlY3LSzXbMChK7e5xWjb+DtHk2BQx3cg4p+3ikWqbkZlwqvo+iIVyHtWx9QGNVPDGnfbbe/X7p8%20p3574/8Ar1391oMEEulxqAYorZkXPYkkfyNVPDqaVBp9wHZVl+yMhI65J/nWFOVqfzHLSV/I81eO%205u5yLiJmjXJ3KOBxSWmlfaDGgBBk+77dua7NJ7e3tLuGOL7znBI+72rMtJoINR818LFHCTjuTkYx%20Vc7tZGEt0VLrw9c3Fzb2kWFRIwWk7KPc03SbKcXkU877mkkMQbPK7RXYtqFtJZL5W3b5YM+Opz0F%20YkMsFpbkSE7gWlGOxPFZ8z6m0mrGZGjrGyyPuALHJPAP+NLcM89vFtbHHmZPTp0oEoCCArvZySoH%20O761DOshQRxqSvOAR6DpTs2c++xdttfMsXkOxIyBgenQ1KbRpWF4EPlBwOBWTZaRNPMpjwmVZzjs%20AM5rX0a8eTT9QhllCxpbkpk9WHII96bppbG0G4vU2NKtoYL66uLmWNYnVXUk9+aj1/ULa7T/AEQ7%20hAfvj1xXEWo1G/V45pwkTEE5bBFbUwht9BkgtnVnbaWIPfpRKFncuU7xI77U0iuWSKTCugAGeo7C%20jUp2+028EZYqq+YB6kjHNc7IrmaL5SzK2OfWtm1uvs0he5CyyE7R34xVOKijC5i+Lpt2h2yDcD52%20XXtnDAf1p/w9AP8AaGen7r/2aq/i5y9shAwplDfiQan+H/3NS+sX/s9dlH+GYv4zvI3HApJ16H0p%20IY8kVMy/eBq2WRn50G7tSOgGfegsGPHalk5G7sBikND7bcun3BX8KmsmZ7CTcPmAogcfYmwOMjNP%20t54+VA4PBqNmUZC/PuwKtWTAswx2rStrayJO5wCx9aebW1gdpIW3Yq29CLalFPNkuivlnHQHHarz%20WYWWORl+Zehx0rTimghtwxQb2GRxUMFwtxuEgwc8VkzaKDzG8xWclgewrovB7z3GpSyz8LHCyID6%20VkQxLGwZx8q1p+D7qS61qZNmxBG46V52YW+ryN46M3LmHfZzqejIQB74rzzR4Hi1qFF/hbGa7Z9Y%20Q3EtseNoPJrzzQlvP+Ep+1SSAxNIwVQeK6cOmoBVaueimOHdIcjByr4rA1I2+l6xplran/Wbm6+1%20V9Dup3/tJJmLfecZPSm2sK6nax3RbdcRA7Ce1XDRil70SHTZkj+IjurnzGtJDjPohrkPD14ssTNI%20S8uSxyeprf0G3z8QA8jnzPs8y4J7bDWL4c09DHOUKlkB24qab/2qfov1OJ7HXaHei51S33xEHGWb%20HSma81lFGzxFXWSQgkfWotAleRpovL2v5DDdjoa5y+MttZxxSsWG8DPvmuq92V0Fu0WOdgv3eMVA%20Tk0+4Ja4ao2+VM03ubrYaxAHFI8gEQBqHcWNEgLbfpR1CSui1DOAGIqxvLaW5H/PSqVuvyNmrRyN%20LwP+elMxmrRKXUjNLTDmjmrscdyYkCEYqFjTt22Nc0wODnNSSyC6J8v5fUVUuZdkAdc5Q8Kvarrx%20NIpVevWo47Ty4XeQbvMbn2rSJcdjZ8HzyNNMGyDMvzg963HUDIP0rC8NTEalMSmAIyVAHXitDS7q%20e+86W5XZk8DHaoOhbFgfLtI7GribJvmGAwqo+R+dNVirHacGkDRb2BSHXjFaN8ZW8GyXUTkMr7CA%20fWqEMqSRhD96ttZFl0FdLt4/MuJ5gQMZ6c0rEvQbaaNPp0dslnM4l8gSuNx61yPxvuJx4G0+2vRu%20n+3JIHA42+XJx+tdtqGsvpOpF7qIoWiCEEdAK4D4y6hFq3gy1vI84+3xouew8uSqS1JvofSXw4/5%20JZ4U/wCwLZ/+iEoo+HH/ACSzwp/2BbP/ANEJRWpmeI/tc/8AMo/9vv8A7QrEksY38Gv5ihmEihT6%20fLmtv9rn/mUf+33/ANoVi6FM154JuUYZePy3PtwAK56yu0dNDaRb0VCdJtlxwuR+VaW7EZQdDgis%20qxv4raxRH3Aj0HSln8QWUMLEl8qp6rXE371jrUdLnmfjZceLLzHHzj+QqfSbYt4Vlk7NIQPwArN1%20WaTUtRlvGBJlctj/AD7V1Ol223wCHJxukk/kK7Y7HJ9o4c/f4pxPQ9T1pPMQMV79qb5n3gByKsdy%20eJkEmZhlV5Ix1qdmEpT90B3GO9UPNcuOKtQNcK2Vhctt+X5eM1LQmy4fK27WUL2GKqSYaMJgAqTl%20h1NWDpOpyt8lu3C7myMVYtNAv5LdnWAB93c9BSUWSmQz3FoI28gEbVCqcfe9zTNMdRY6irksCinB%207/NzWraeDrguDqTm3gxksnJrei8KaLb6Hci31Cae6lTaoaPGOc03F2BM4e6nincmFNu7AXHYYqfT%207eWWWO3YFQWHPYZrsfDmhobd1m0yGUqPvu2Dmtc6dDuEbadDGobkq2cCly6DizlovDeqvE7wpuSJ%20uSD+VXLSTVkZo5txk6Lu7cV3MVzFaW6i3mK7htaIDgcVHamykDG9lO4nIbb0rGVJs2VWxxMkGty2%20t2JI22mNiw9Rir+nWepPpkMbhwqxKQv613Cajp9ormNzd7xjY64AqNtcRtxitUTIwAO1Cosr2pzX%20h/T9TjTUJPs+1JJss59OK6jw5Fcs8nC+UGPU88U2316aK3NuVDxk5IPemJqjow8mMR8nGD2qJUGx%20KrZmhqurSW0TLA7xkddorjrvxLNC7fJLNh+WK1vS3xlz5kYbJzyarXDL/Z8kUcSjIOazjhrbkubb%20OeuL43UttOkTb1LbBt6jBGKSKSGxkSSzO19+SDxyR/8AXqqNWlJDx/uvsyngenT+tVDMXjPnHEpX%20jHPAwaHFLREXNOK8ll8m5YhZfmLjPAB/rxVe21DVJt/9khZAoBw5xgA1gfa7qNZYmG4hy3Jq54dv%205dPMsTYZpGDMxPr2pqCuOMpI6S5k8QahaQywyKFDAA7+QRVCLSpbVJxJL+/G08ngmtjQ5RLYllPO%207kelQeIYJJ4AYRwOv0q3BKOhUk3qYl7eS2olt7gHMp3gqMg1kmN71mlDMEjKqT35Bx/Kt37TA91b%20RcSwxgR7m6k96z77/QL24htvm+ZWHv2/TNKMSUrolsHWytZFkcsXByT/AHcVJpd1Hf3zxlCwZSvI%204C9q56aeYXISTOWJz9Oora0rzYpG8kZSQgg+goUV1Frc0dVs47G+huIyyRr/ABIPumqMv2gNG8Ry%20fLZifQ+taly8xtpLaRA/ygZJ/Wsq9leGHanAX5Qf73FNI1j2LOgztPfNBGWJMDoMD72R0rE1WeWw%20ujatFs+XODxjJrsfh9p4PibTbq4VltWmG5wueRVv4peHEbxXM9sodZiCGFC31JqOy0PNYLsSTMJS%20VVuuKuGyuCpFkWZW5Oa3ZPA1zYpCdRj8vcu5f9rvXSaDpUb3tuk8e2DfiT6VlUnZmUYykcFJaz/b%20UUcbBlyfWui8PeE31bUYLeHBkdsDdwF9Tmu21zwpo1zIPJumhkBGQq5/GoLQPo1zcPZgFODG2cZq%20HM6Y0W9zkvjL4Ih8K+FrCXz1e6lulWRVIOMo5/pXHfDtdw1Ef9cv/Z66H4r6vd6nosBu4AuLpT5m%207J+6/FYnwzUMdTz28r/2evQou9K5z1I8tSx3USgJ6HFRzsQhI9Ke5wcDvTZUymO9WOxRiYjcW6Zq%201Ewk69GqMwEr6DPNBIjK4420kCRZUFbGdRwSQBTbAhmlQjJCVI0mdKd1+8zYqvYs6Rzt3C9agp6F%20Kd3DttzlRxV/T5GOxWyQTzVPe3nDIzkVqaahMiBhwzYq/smSfvFm9n2ahsH3IxinWrKivNK+1M8G%20q1xGXv7gHs2Ki1NBJo4tl4DMNxrI6EzWg1y2ubh4kbcI+Sa7nwzFHHIJEUBpYmbPtXmvh3QEWcxx%20HcSwZj7V6hoYj+1eUh/1cJQfhXm5iv3Ejop6mXcacDJPK+BnP61x9kgtNbWHkhZcA/jXpNzZrNE6%20t/EOPrXIDS3i1XDJyr5BrqoTXIkFWHUraG2dcuYSPlkLIf1pNa1Gx8KaZKf4wMDaM9ad4ZUnxBel%20jhizkD8ayPE8CXl5cb03qHAxW6V5GTdoFHwIl7L4m+2ajn/SLeZoyew2GsjwnMzK0cbHMj7Qfxrq%20fD8sn/CW29qP9StpKPp8hrlPD0ixmaK2HzI3yn3zWNNWxU/Rfqcr+E9MtdFn0vzJp5FKGBvutk5x%20XJanAs0MYbr5ikVv6MtzLPILmYyBYCSp9cVz+p5KQY7S10/aL3Rnup8589QcVHKP3ZqZiWkc+9RT%20HEZzTN1axUbinA8KT6UjAUrJyuPSmDZKjZU49KnJJ0wf79QRLgYA7VbZD/ZLED7r0GFR6GWSc/jQ%20DzTCWJNLyDV3OSxK3MYpnalP+rFN/hNBm7kdxKYoGZDhscVtW93YT6dFFty6jLnFc/fhmtD5f3sj%20Fa2i6cs9g3HzMvHvVLY0ib/g+2hurq5lZQqopCk9xUjqqSsqAADI4qCCKcaDJPaDyvIl2kjuKqpq%201uZAruA5bFSdFtC5yR0pgX2wasK67eT06mjcrSFUOABnNBeliEAqQV6jmtvRNWSx1CG8YZeI5ArM%20SJWUsH5qnaLNJdSAnCqSBSMWbPj/AF5NcuoHhj2fKQxA61wPj8o/wztgGxJDqcaMn1ilOf0rodam%20W0tcSn5j92uE8Z3Im8OLnKu92jFfYI4/rVpmZ9h/Dj/klnhT/sC2f/ohKKPhx/ySzwp/2BbP/wBE%20JRViPEf2uf8AmUf+33/2hWJ4NmWbwfqOF+YQxg+3zVt/tc/8yj/2+/8AtCovD9jDa6Lq0Vt0ES59%208Gues/eidNH4ZGM+pR2cHlSL8w5PHWqOsXsd3o0ip+7eVgvTt1/pWmbRZZmaQgjgAYqO40ZJXRnk%20GxQSq47158naZ3xV4I457BF8qJBjCN82P9nJroktRD8MdNbvKJiT6/Nj+lW59PSCNyzAgRt268Vc%201KGJfCuk2sS7IlDgD2LV0U53MJwseTrpjyyZReRVyLQZpGDKnPU16IvhmHy8IwUno2OtTxaGqrxM%20MAYPHWplWLVE4PTvD4+3Rm5+6DgiuwihiijREjUBTkcU690j7P5cyS7yrZZcdqByvPFdNCXOjnqx%205XYsvdyuuNwAIx92oAcdKTdge1JkjpXVYwHs5YYJyKQMAvy8VGTR2FFhEyv8pIOKcGGBz1qHd27H%20rUg449KOVBckzjkUu/NRl9vWofNx0NAFpT1yaejHGap+cFwCepp4nA6H2qWxl1Tinq+G5qibkKOt%20H2kDJLDj3rNtFWZobqgvbmSG1LwjLY6etVF1CIv/AKxcdDzTZdVtBuV5l9xUPVF2MLUYFW3a+tW4%20fIdffFQ2kQS5W9lk2IqldvXoOlP86E+darKNkjbg/t6VmtOpsTbK2GDE5/KuaxcYlhHims2c8zMx%20ycdAaq6fayxebLOONuUJPXmr9vLaxIvlgARqd59fannTb28sVvypis/KOw+vX/CqtcTSTOh8PEJD%20J5X+pbkN7960rhFuIyrnrWLo7paaXDGX3F13DitSJ2lZUijLsxHeqsramlnY5XVdMksdsluclZ+f%20xFZ807td21w5yZG2MvqB3/MV12raXd3My20CnzlJYqOcY4rBvNFnBgg8sxiNjuk9M1OgknsUo/Ix%20M0i+c5Vgv+yM4BrR0V1t7HYx+Yseak8M6I9+zmVwiElWyOvH+NdQ3h20t1VYYfPdmyWBxgVLqKL1%20NI0m9TIghn1NXFtG7+XyzbelQano13cQQqI9kIyGf1Oc17narpGm+G4YNNiRLiZFR2xn0BNc74ui%200iDVbGyUgoBiTHcEjP8AWiVRW0IjGSYfDmfSLXQbe31PYMIWGexqlrGuaNDZ2cctrHPN5r73L8gA%20/LWZrv8AYgstQh8P2jiV4QkThz8pB615w2h6m/zys7PkHOaTmkhqm27nS6vrup6lqkNzc3AkgiJC%20RcDatQN4guEO2F+G6fnWJBo180rLIGKgZJz3qzFod4EDh9r9OlYTlFu50RptbFtPEeqFtxtzIwAB%20OetNuPE18Iyptee3PStaz027jtAkxBYnrjpWvZ6AkseZIwWJzuxWLnFG6gzyfxvf315o0H2q38qP%20zwQ2ep2t/wDXp/wzznU8f9Mv/Z66b4uWP2XwjatwM3yDAH/TN65n4Zf8xP8A7Zf+z16eHkpUbo8y%20urV7HeOoGM1GehY9qe5zRjK4PStBDM5QHtUbwhsMelThMJ7UpAkTjgCmUhUVPsew9GbioYI/LinV%20v7tLd/u7RNvUHNOVg2nvLnlhzUdRSM0cyZ6VdsZ2OoRKPuhs1nNMqtyepxU1k7i8Vh0BrT7JzL4j%20bkGbmc92amrCJ7Qr3HNR30wgdjn5m5p9jN8o3fxCs7aG1y/4Mhdb65ads4BArqfDhkXxNKjZ2+Ux%20BrmLOT7FaSTL1dwK1/C2qNJ40ezxnFsx3fhXm5iv9nkdVOVkjt5Npi+b04NZZEckw8zAYc0+XUre%201nEM8gV8ZwTVdkiudSS4imUoq4IB/WnTi1FM6HZrUzrDRhZ6ncXWf9YM4+tYt3ZK95cDqzNnFdzI%20IpZC0LAgAVQi0uL7eLlhkYIaumEmpGM43ied+GGc+NV3j7scw/DYa5bR71IJpWK/u9+D+ddppjND%208TJYFjIiMMzZx/sGuFtFgMhjyVGctk0qTvip+i/U4JJ8p6Z4Ou4LzVJAHBjEW0n3NY3iXTpdO1ZI%20x9xWLVnaZcJptlK9rJiQuM4Paui1XUYtXhjlJDuFG4r2OK63uaLY5wWkjOW7NzRJp2YiWNTG8xkL%200FVpbt2jI7VLKTY1baEAYGfWnrFEw+70qkkxDY3fnVi3lLqx9DRcp7D2i2L8q1btdpsHWYYBaq4n%20J4xSzMRacd2qkYT2IJLBGYmNhzUY0xyetHmEHqakEzjoTTMtCGTT5cY28VC1lIo+6a0FuW71ILr1%20ApiaRlJZM+VdcA1qW8n2WMJF8pjBwTUy3UeMMv6U7dDIenJNFwsjXtzbx6Hb2N1OqG6k3E1y/iDQ%20rG1vI2guQ7M+QQan1yxmvrq3aNyqxphcGsu20a6E8b3EjviT5QTmn0K5jesbVzanzGzuBqQW2bby%2092GAxmppXEeI042jn61EGJ5NBaZLagQQhZDubGKhvOEVoMg78n3pxORuJ5pA2WA6igRZuNOh1GOP%20zuy5/GuK+J1nFbeG7YxgbvtSLx6bHrtPNKAc9K4/4oEt4Xtif+fxf/QHpR3Jex9U/Dj/AJJZ4U/7%20Atn/AOiEoo+HH/JLPCn/AGBbP/0QlFbGZ4j+1z/zKP8A2+/+0Ks6GiCw1dUQgC13Ak+4qt+1z/zK%20P/b7/wC0KufD1n1Xw/4junXCCJI0z3JOf6VzVl70TelK0WjnZRiQsWwmOlVnnk2qFbgLxVfWDKl9%20CASFbKgVE4uUaRJEO0YAI9/8/pXHUg3K51xqpRsWJbsuu2U/KylS3pxWzryj/hC9AuMbWeF8n1+c%201zTW80xIjUlSvyn9M1qeJNQLWtlYRsGFnbrGFH94/M36mtKUGtyJ1LirqcgTZ6DbVG51d45hG7cH%20n9ao2zzTXQhU/v2XO2qV1MqyzQXnyyAbCO4xUui7lutobdvqb3KgSOD2P1qyTnaT+Nc5p5iNzb+X%20MGAYAgd66KdTGOmATxXXh4uKOapLmEYDik5FRhifw4pvnfvCg5IrqMSRnHU0gkABqIncwB4zUczG%20EZYcdqALQkxxnqKsLnyWkzhFP51ireq8qxL95mxWjqsyR7LaJuFUFsHvRuAsl6ij1rEu9Xe3mOIy%20eafJOvIz9Kx7u5RpGGeRUyGh9x4juQxKoQKy5/Fuot/qyEx6imXdzEFG1g2R2rIkjMknIIz2qPUd%207F8+JNSfrOM/Sqz6rfTNt85ju7A1YttG8+MPvAwcEeo9a2tP0bToADPuL8FTn3FZyqRQuZnOJJes%20NwlfnryeKkgsr27YYMmCcZzXdW+nadAJFdcl0wx9BitCK2haLaqKHjC9B14rndddAV2cbDo9zAxt%20yzMz4O/0FXJdKnglcg/IoK5+v/666/8Asy4XdPHAzbQOcU5tJneyleeJhGyhicdMGsXVuzsoxfU8%20+s7a4mnWEE43kA+vNesa5a2l14b0220+UExKFwv8IA6H6k1zVlpDx3qyWkRAZGO5uR6V1FpAY4lx%20EW2rzjtRKr2NlSW7MbQYI4Hmhuoy1wo69gK347eVJUSFML0Xj3qTRYI7id5J7ZlGQC/qP8muos4d%20OE8zPKsZhO5GY8Y9KwlOTZtFRSI9G0n+wtVjnv8ADzXkbKVIzszxmsXxN4Ykh8P3GoWjiaJpgm5R%200Izz+dap163tb+SXPnAnbljnH0qNtQjvtwkl/wBEHJjB4znP9av2iRn7OV7nlaX934fmAZCqORgn%20t610Fr4ntPJiWV/3zdT/AFrdvND0e+iMDBnC5IO7kZOapReF7C2gUrHlUPGeTz1qZTgzWMZIZ/wl%20tvZxuHkMnyYBB6EVnWniWK8kmaaF5XbgNnoK2J9ItpmZVRCu7cOPwq9b6fbWkGIYUDEcgryay50i%20+TUxo9ReRcx2xTJwR6itmJIWX5gNwAIpjQOSE8seYq9FGKtjTy8oboBjIFZudzVRsVWhjebJTB6Y%20Hepo7GEFnCYLcc1d/cxvhvmfqAPSlDKdwUjA7VDkVYSKKCIgOM5GMelTiUMn7ldu3j61AVVl3Lzg%20/lU0UYEYYdDUNjPPPjVk+DbMnr9vT/0XJXGfDFwn9p7hnPlf+z13HxuQJ4Js/X+0E/8ARclcN8Mz%20j+0/+2X/ALPXt4P+AePif94O/AR1JBxTTG3Ygj61HkYpEYhjzW5A8bvukGkZtikYxinecwNHmrLk%20OKAW5BfNm1j9xUWnZe3kjJ7cVcl8naiS9McVGkKxFTE2OalFtGYbF5bsJg/ezV8wiO5CRn5h1q4H%20Vd/kkF81Xjt2W6M79+vNVfQw5PeJdZtyJkc9GQVX+c26+X1XrV66u4rlAj8leBUKvCinHWlzaF8j%20uPNw4jEbn5cg4ra8ESK/i6Q/x/ZWOfwrm7psruHpW58Pgx8SyHGW+yPgVxZhb6rJlx0kkWPGBkju%20HujuysWBiubh1O/hhlW2lk3SQ7U56e9dj45stRfSoJrGAudwWRfasy30mdJ0L2zAGMA8dqijiaPI%20rsqblfQj8KaxqU1iglbLKShYnrXTvqFy+jrJEDuLbWrI0PS5baZopI2EfmEr8tbc63NvbmFISVbn%20pRLE0b/EVGTaMTSLWR/GBnkGcQSKT/wA1ysGiw/M+0ZJrsNOe9h8QwKYWELpKZGx0whxWDBkxFx0%207VOHqxniZuLvov1MnHQzLqzjgtpAo27hjitG0tY7LRo1DZkcZNQ3UbTRMM8EdKht7lZZJFQ/cXbj%203r1baGTdmUicbqZJxDn2p7EDNMlOUwKzZrHcpbe9W7M4ib61AV21NZg7H+tI1aLI74qSUf6Eue5q%20IHtU0p/0BP8AeNVE5quxVKgj3pQtIGBp27irOUDxTUbLHPanjnrQEw+4dKYajhhhzSoCJM+gpN2K%20fGcsPfipBN3NOVvLSItycZqdUEjxsOOaqXLFnX0UYqWCUqiE/wB4Cn0LIJTmVtx5J5pm4kACpbiN%20fOY54zViKGMKCaroWtiFIGOCatJAqmhmVU4pN5Cg0DIZsB2B65rj/icxPhe1B/5+1/8AQHrr8CS5%20O7sa5L4pbT4bttvT7Yo/8cepW5Etj6q+HH/JLPCn/YFs/wD0QlFHw4/5JZ4U/wCwLZ/+iEorYzPE%20f2uf+ZR/7ff/AGhVvTtT0zSNIS3srpI7e8VUKlvmJB5NVP2uf+ZR/wC33/2hXWW3wI06Nojc6hKy%20IOPn6fSs6ivYuJz2uX/hKPS4xCsj3MgJBLA7T0rE/tWyvLG4MEZYqoBHcEV6SnwW8PLL+8vpGPQB%20nHWtW1+GXhmziMYnwWPzYYc1m43RadjxfV9Zs7LQ41tomjlA5DfezVW61PTrcWMsUTS7oleRjz85%20HP4V7rN8NPDN0/79lO1dvUfnWVr3hXwdpGl7QqySKCEVcE5ppWQ92fOlxqksWpLdo6qVJwR2pLaG%2041rUzNcqdjtlmA6mt7XbS1tta3rDGYckumOlW9Pura403ykVY88gqMVaswJbPQLHTrUS+cnngZCE%208im6hNMtmjBQQckNjgUkhV0VJXHmc7T61kya+ltM1pdqzJ2NWmkS03sVU1u4F/s2Ar7CtSOUlxKi%20845rm9Ruo475ZLQbhyartrd2RiMbaakLlZ0shZmLFtoHJz2qC81i2/s97eRtzkYVlPQ1zM99dzA7%20nxkc4NRRWcs3zEknsPWk5DSN7T9XtzdG5kXyxGmAG7mq8/iBZrghTnf39KqHSpHi3ygqrHp6Utrp%20Q85cDJ9PWs/aJFNFee+mmaTyzjnArR0PSknaaXUCzfIyRqp5LEHBq1pmiGSWUSRkbW4yOoro7DTQ%20WVYkMgHdBzntXNUrPoTbocvJ4SWK4kVG3qGwjdjUMvh2VLg+Wm6NejY4Nd1Z6RqLzRrJZzeU5PO3%207oqT7FPBp3kT20iZbByvI5rn9tJblKnJnnTLLbS7ChAXg49K6vw9otx4iYW9lbs7AruYD7oJ4/lW%20hNoMEkSiXks4yR3HpW7pELaOrtZSNFhcl0ONwHNJ1UzeGHkza074Pz+SZL2ZVEmQVPUAdK3ofBWh%20aVEPtcymdTyN3WsOHxBqMlq3mXUmCv8AE3NUobx71vMd5W5I/eHk44zWUp32OiGHs9Trl1PSYUa3%20trZW2jqQDml8T2MT6TYWoiSOacN5iKMFVII5rlY2MYkeDBIGOfXjH61YutQku28+4lk+0suw88Ac%20dKUZKzN3Td0kce94miu9tMHdUXCkevX+dZVzr1/F+/teY2O1uOBmuwe3tS0xuI1cquFLD7xFPi0+%201FukZt1IPO0L09zTjNLccoN6HEN4lvrKJTDICufmXvVb+1L+/PFwU3gk8+9dofDVnfxtK8YQH5AA%20MYJPFQw+Dbe0c/vA3OeTx9Kr2kBezlaxxiandiYIzllVsHHeuk0fU7ouyLbyOjYOccY71uJ4btQ0%20haEBWOM4/WtSzso7YKqxhUAxkCsZ1Is2jTaIYULOxC4DMB05AxQYJupyUPPFX8Dy1CgDb39aA2zC%20lW55ArnubbFKCIzIShHB59sVOts7HcTkqeCO1TxRjdIVGxDg4qTygkgG7hsf1pXAh2uGH3SepIpS%20zISBnk8mrOVhbOwsSOBilWSMsd68DnOKVxFSG2LSF2Hbbk9hnNSymKPCIh3N3q2xDp8pAyeg9KaY%20UTLkg9gKVx2K0EQ3MVBIJqRI3TLlgBngVaMQKFR8vHaonTb8oye/NK4rHnPxwyPBlmD/AM/6H/yH%20JXBfDfOdRx/0y/8AZ67n42IR4Os2Zsn7cnHp+7krhvhwcf2l/wBsv/Z69zB/wDx8T/vB3Dkqfamh%20tx4pzHdgGkC7DXQQGTyKYsuG2HrTm56U1E/fZNAupJqC5t4WzzVRGbHXtVy+H/EvQ+jVQibOfpWZ%200JaCJKVbKnmr6u0sI3GsxPvH2NW7VysZz0oLcUTEbQD3qRXxGfpTWwVWlbG3FArCE+ZDz2q3oN/N%20pOtRXNtwSCv4VSUE8D1qxBFuuoVzgZNTOMakHGXUykrO53WofEJ4rYCKNZJCcYwKr33xAltbLf8A%20J5jR5Vdo6+lc2dKKOSxyQcioJNGa7nDuCQOBXDHAUYvUfvM2NN+IupXMdp5qqryH5htFS33xIvov%20EsmnxoNirwdo61haV4dlGqieZsRA/KPSreqWUC6sZgo3vwDVPA0G7CtJI0dV8aaxbW8eUUCZih+U%20dCKpQRgW4HtWXeTs7pHMchZBtrU3fMFH92uqjh6dHWCMncaUG1jXPWDg3l0R/eaukA/dkGue09FD%20XjDn943866uhEiJh1+tMYHBqRiD+dD8RnHXFYm0CowyM1PZsfLYY71Erfu6mtv8AVn1zTRsywoGQ%20alucCyX/AHjUK53CpbvP9nr/ALxq47nNV2KikA4p/GKrGTkU7zcVqclywOlGeMVXEpp/mUguTY4q%20e3AMyD3qsr5FWbP/AI+VPpzUCW5edNzkmq8Bl/tTB/1LKMexzU+/c/tQi/6Uqjpuzn2plsr3Mv8A%20pMg7BqswFigqnKMzsT/eNX4WGwYqlsWtiRY8xkntQT0qVmCW/wBTVQyZbP4UARSyFZDt6k1x/wAR%20iT4Zgz/z+L/6A9dTK2LjmuX+I+P+EYg/6/F/9AehLUhn1l8OP+SWeFP+wLZ/+iEoo+HH/JLPCn/Y%20Fs//AEQlFaEHiP7XP/Mo/wDb7/7QrbPiLU5F2G6lx67qxP2uf+ZR/wC33/2hVrjGR0rKo7HTQSd7%20lsaxfibLXUhwcj5qa+q3pY/6TITnP3qqqO7VGRlyMYzzWVzp5UXBq2oZJ+1SZPH3qr3MzTyhpXZz%2071GTheKRjhj79KLj5UcL4xn+z3064yzgHjtxXO6bcXDKVbckYH3h2rqfE6W7awWnLZMajaBWN5P2%20lTDDmOLPLdCaTqdDLkuyrdao++A2+9yvLZqqZLq4kDTQKcccjmulstFMduzbAUyQGPXFWjo6pblg%20xLHofWs3UL5LanFvFcSI4SPDE4GBUcdjeRuVljbOeeOldlDpbrA+AfMU5X+dSwaZeGZBIjSKxALA%20Z4oVUiyehyJsJUQFlAya3NL0h2kif5RjnBNdpp3gDUdSs1ZoUEbSn5mOCBmuq0z4a28WpJ9vuzGF%20i3FARzzROq2g5UedyQWOTHcSDfuyMHg1oWXhObUNcaPTYG8tGBRmXqDXe6l4R8LQqL3eHZRzHgYz%20SxeOLOxuo4tDtFacw4bzFwAO9c97bsfstNB1r8LZI7qFbyRY4dnzMp5JrXl0fw54ehKJJGXADJgj%20JIOTmuM1r4izyiONrmVZyDlI+Rn0qnHC9+PNnkYuQeT6H0pSnGKNaeHbOj13xzCloYrGCNc8ZA5r%20mTLqmruhmC5zyF9K0H0ayNsrR7pZWfDbx0GMfzxUWoaq2mXSDTbYszLgsR07Vg6ilsdMaSi9RH0r%207NbrNOrBcljkdKrQ3tqY3tl5yuVP9Kp69qep6lJHbtL9ngb75U81Yt9MsvsTlJHDJGFDAdT61Nu5%20pddCeyuraVsFgT91Vb0FOdg1xFJCCqLwAB1qsmiLCGuEYkqQQT15qQW032dIllbO7IYdcHrSY9S9%20DbNNFtV9oZsHnn1p6hWmDNtaToFHY4//AFVLaW5a2SSRisvUgUNBhmKKFd8kEVm5GiTGy2SSOHZf%20mXOQBxxzRHCxO+Mkb8Bge1SRPMANxHoeamX5c4Y4YYH19anmK5SDY8jbUAEWfmIqV4U6MflByT3q%20FopjcKVYoka8Afx/WrUNtnd5p+ULwaVyrESOTGCvzKOBn0p0bPM2VXCjgg1YigSKIDHAHOe9SRyK%20cgLgYwMCouFxn2dNo5471VWO8aVj8vlo+FJ6kVpsqKo3YyT0prFRCNv0p3AaYFzhemM896eI49m4%20jkdBUcYkfbuOCD0qwdsbZznjn2pCsZ8wlEkgXO0Dg96qwLJI21i239c1s7cZZm+XHbvS+Wq5bAHP%205mncCCG3dF3PjpjBp7JGASSSc/lTpZgo9cHk1VaUKokB4bqKW4E8kpV8k8H1qrcXDmMKnU9/So2d%207hizjamflA71HJMsNuxAJwcEGnYRwfxoU/8ACEWjMfm/tBM/9+5K4j4bjJ1L/tl/7PXWfF+4MnhO%202QnI+3I3/jklcl8Nzg6jj/pl/wCz17mD/gHjYr/eDumXFNY5xQzUKcityBp4WlyMZ704D1qN+2KB%20okuTu0pvZqzF4z9K05Ru0yX2YGs1WGGrM6VsNB5+tWLfqymqqc8+9W4PvnHpQUPyQw54qbO4CoWF%20OQcjFICeIYYU25ufs1xbHBOZMHH1pVJByabdSItxCHGd3zChdjGqdPckPcAxnjAq0s0MUeXOGAzi%20uKfxIxvFKK2xTyMdai1HXZ7mEm1Q72ODnjAqGncqMrROsu9WVoS0OFA4BrH1G+SYI/mgOvvXP2mo%203Nzoy2rr+9WRizetMfT55JFZnb6VrGKRi3JjYZri41gb2JQTADmuzk+V8iuJtobmPVrdH+VWk3Z9%20a7aRt77R2HNbNIyjfqSEMYWx6Vz1gpiiug3UytXQAnYaxMBY5/eQ1PQfUrZByfemluv0p3T86aw+%20VvasjaJAv3as2w/c596rLwPrVqD5YuaaNWTRkeYPrUl43+gD/eNQKwzT7skWKqeuaqO5y1djO4zQ%20WpAMmkYVqcdiQDNBNM5AFOpiJASFq/ppy7E/3az1NaNgv7mQ/hUscNy3s6AdDVm3H+kLmoYiVXnr%20TLecvqLDoFpM1exEUzK31NToT91RSBMyEn1qwigDNOOw1sMlVhGuT3qAkBs9BU1xKERc8msma5LZ%20FWhjpZR5vJrm/iFIJPC0GO14v/oD1rM2WyawvHP/ACKkB/6fF/8AQHo6mbPrz4cf8ks8Kf8AYFs/%20/RCUUfDj/klnhT/sC2f/AKISiqJPEf2uf+ZR/wC33/2hU+7gDPaoP2uf+ZR/7ff/AGhVlgD0HasK%20z2OzDK9xjN1oZsN+FDKBk+1DYyM9xWSOnQiLEKM+tE77UBPNMlO4gUzUJ0iswz4AAyaS3B7HPa7b%20xz6ksjsRhRnApbTTkuGYxxMxVd3yjORXZWcPhf8As9Lu/uvMdVBdCvU//q4qXU/HHhrSdLEug6dG%20k2QAmeozzWU4NsiNTQwLDQtVuw0FtA21ucsMYB6V0mn/AA31W8At5j5e1hk56D2rlb/4l6w0L/Y4%20xBvIYyKR0Hauv8M/EDWdV0FSinz4/lec8GlyKO45c0tEb9r8ONP0+JJNRv2ZuVJYD5qfKnh7TjHF%20bMWaIY2quQfeuO1jxLfXd2/2iVpfs+W2dOoqXRpI2kg/ffNPne3XC9xUSlFBGizqpPGNpDYLBb26%20CQdQO/YGubv9VvbyV51LbsbAR2FXJrHTLhg1ptVI2AkfPXFU7nVLRmeCyXy2kOB6ACsHLmOqEOVa%20oxDLNNb/ALzcCrBs1d023t5ofPZcTOTyP7vSnyTxvdBYgF2dcd8jrSXDLaWxFoQpC5wPesmzaMFa%205XaHTEmPk2iSOPl3t2OOtWrOTzZo44YxhcgnsvvWNLIUSRhkhTnPpzWppl9HbCcygCLywF9yTyaH%20ewKyZuXNxb2tv8mCydRVO8uljZQsSkLyDWZcz/a5gYhtbKvu9vWnfaoGJO0E/d3E9TU2saLUZdRw%203kbSywhShOf9of8A66S3hEVmsUbZ38Y9BVKfVJy7QNF+7xw+f0q1bCVnVQCckYHrQ721BRiXjMNw%20UZwDjp1qQWhKHY+w54I7ClWxlDqxbaoHIq5HE0cZMQ3lgevas3IvlQiQnyQPM5GCW9cUqMfMB2/K%205wParKQJHCPkwD1OfanBUSENgMdvPtWbZWhXlsvMjV04IzkUG2ZBmQ5GOlXFbK8tnApkqlCCWwM5%20K+tFwKbZ2q7ZHOcY6j/P86kNyg3sAcHjGKtSmNsM3KnoPWoJYDK4VG2KDzx1piGNdRsNpO446elQ%20fbSluNgA5yT3AqcabtYuxPJOakj02L5WK/KQAc+3NPQkqyTSSKhKfNkHA7VIsM52yE7Vyeh61fja%20FjJGicjjOKjjTChWPAP3fSpGSIgypLbu9KwWSIj+E9ajJWFju65P/wCqmiYPAwQY96QDHD7SkeGX%20Hr0pB5m9dzkjvTnlSENtGX4P6VXLvJJkjbz19aEhFhkDowV/wqHyV3jzWzgcCnJGEVxGctnJNCoO%20WPJ709gFCAAtu5zxVe4h85CueeualYE4A7mnFAO+KLgeYfGK2MPhO2faMNfpz/2zk4rjvh0cDUv+%202X/s9d58az/xRFmPTUI/x/dyVwXw74XUj/1y/wDZ69zB/wAA8bFf7wdyF3LSJwaiikZs1KfWugzH%205xTW5pGNIp/WgpEijOm3I74zWXH3HrWrEP8ARZx6pWVD/rBnpWbOiOwijbkVbtceYc+lVf4zj1qa%20JisoI6Uii6yAL700H5TgUqk9aC3YetADlDMMVBdSYa2bbnBIqRZDl/Y014/NVc8bHoiTJXGeTGXb%20dj2pLl4obcvgddpFRXscjIVhkG4tjNR3ts02mmIt8/XPvVGasWLZYxGrRgKgP86ulcAVjRTPZ2Vn%20C6li74atpuGGKiTLjYhvFUz2xYZYNxWxGu+XgduayLtt09vns9bcEiB/wrWLujmnoxJdy5zWNwbe%20Yn/noa2pJlMbEjIzWEgYQTORwZGp9CFuQEciiQfujiml+RilkfMJrM3iQo3IBq0gBiBqmGAfmpTI%20wjG2mjSTJx/rAFpLyUvvTH3cVHDISdx5x1p9wd0cjBfTmrSOOpIqDgCkOcUA560hPPFWYDyPlFGc%20ZpC3AozmqRI5TyK19PbbZsx7tWQOK1oB/oKe+TSYQNBdr4I6VHBEqXTYOScmoFkKMAKS3lcXMpfp%20tO2pZr0LYxsD+9RPcjBFU/tDuoHvSE8c00JMSeUt9KoSc1blPAqq5HNWgbIcYOKxPHIx4Vh/6/F/%209Aet0KWbA61j+PIWj8IW7MMZvV/9AejqQfXHw4/5JZ4U/wCwLZ/+iEoo+HH/ACSzwp/2BbP/ANEJ%20RVAeI/tc/wDMo/8Ab7/7Qps2olImaGB3bqBg96d+1z/zKP8A2+/+0K3brXrhGcbYg6nj92PXiuLF%20T5eU9DBx5ub5HLR393cShGs2QuMgk0MuptL/AKkr823r19/0rduL+S4xJPGquDkEACq82pI7xKpG%205hn8q4/bM7vZLqUY9PvDG7tLtGSEGOtF14J1fUdPPn3JVThkXH3h0rR843DRpGuTuGMeorqtPlne%20CQ3RwVjAx+gqPbNO4OlpoeczeA7+1W2WSfiTJC+g9ax28LzJd+XcEum8LyMcZr0iV83Pn3SsAy+X%201/EYqhq9x5vykqvz4UgfdFV7eTEqKONsPCwlJF1J+4XIVMde39K6HTjPZ272VoNsSoNgHY+tWbdY%205LbzUbII+U+oNOtVFo8khPznjPpWUqjZrGmkUHBhnb7V96QHPHUmmwRDTrGKOBGCFvmGepNXXdrj%20bLNhgucHHrV43UJt/JMeHIzuPr61DkXyooQxsqSgZEUzZIz19qtLpiy28YYYSJSoOfWkS4jgiZZh%20znZu/ve9H2lUO9icKp+XPWpuxiQaQgYvC2QR37VBaaa9yt1Ij+Yyp0z0A7Ul1q1wYCFXy02Eb/Qn%20/JrIs7yawU3EW5myS3PAJpoiTZfeN4v3jR4UDaSagnjiEYeQ5AHygGo5by71RopcYByr4HXmpxpa%204UljsVdrg+p4ouVYgF6PJ2+YUbHBAz9BTrfTJLyJdrEDPJ9a2rawWH+FQAccjNT2sZFzLsjxGDg+%205qXItIhXSYo4s3A/dKMn6Vdt5rYYaHnKenTFSyRSyYh24TGf/rVLBpikHHI6Y/DFZN3KG7vOIkT/%20AFO3FPAwfk/D2FSeR5Ak3HaCct9cVDHLvkZkO1OAM96kY6Vn+zkOeOuKW3FuwBDZyMlfeoJUeS4B%20zwBjFOt7bzPMI4WPG73p9AJixV9kS5CHAPqKRo52Ufwtkn/CrW5wyJsyAeanwSw4xzipuMoW0Eiq%203mPz24qfyyG3Pzg8e9SMsMdx5efnPzYqKVpZNpThWPP0FIRM06KdvRyM7arzTTOozwp7eopGSJ2b%20b1HvSHcLcDbgAYzTETgqqrsxzSbsMQ3aq7AAqeRkc+1VxlmVFY7cnigC48qswR3BC9sdarRsdmyM%20cE8/5/Ko/KMkoO7oNuKlCPGCzDaMj9OKAJPKy+fXk0yaSJivyZYnI9qkScsXBGF7H1qEy+XIMgY6%20ZpiIovNMxP8AB2HpT1yTiQ5/wpzy/N+769PrUbkomH5IOSKAJtgDAtwexqF5VUhCcnoDinbWmUf3%20QcmrGxFVcYIXvSA8z+NUe3wTZsGz/wATBB/5Dkrhfhzz/aQ9fK/9nrvPjWc+CbXJ/wCYimB/2zkr%20hPhx01L/ALZf+z17uD/3c8bFf7wdqFCdKeCAvNIB8xzSP1xXQQIcHNNxTioo24pMdyW0OTIp7oay%20dpDcVr2o/fN/umszG1j9ag6IbEcYw3PWpkH7xfSoj/rOKkX74oKLvTAFNI+YGlAOMg9qUrjBoAEG%20A+fXNNYuq5XpvGc07OWb6VHJJsVlb1BpCJj5Y+YD+LkU4MjuV29BmowM4NPj2qzE9MUIj3SNjE3l%20jYCQeOOlWXbC+9UMhQCeueKtSOAAc0ctxppIoGYy3UCNwd+a6CI7TlvpXPqsY1G3JbJXmtu3cy3D%20IWGM8ZNbJaHJN3ZNcMBEV9azY+NNkBOcua1Z4Ssb55K1kQlF0uUucfOST6c07EJ6lP7uPagn90Sa%20rJqNrNMIo5QW+tQXesW1s7QzNhwajkZ0qSLTcninNnyx6VTs9Qt71ikT/NnFaqwkwgnpS5WmOT0E%20t0AhOR1NJIxMEwHQEYq88Pl2iAAZxk1mRuHWVc5JPStUcE3qRqRxmnZFRgEHkU4ngcUCuBOTQvpS%207eQaQ/f4pogcB8wrXUYtolH90VkDnOa2CANi99o4plRVhh+/ShyJGA5+U0mMfnTQcO3sppDIY84/%20Gnn1NRo2KGJbvQAkp70lvbG5mCDv1pHU4AHNaNlGLdPMY4OKLgWF0+KAZxuIrkfiaf8AilrYf9Pi%208f8AAHrp59RCriPnPWuP+IUpl8MQk/8AP4v/AKA9Cu2B9a/Dj/klnhT/ALAtn/6ISij4cf8AJLPC%20n/YFs/8A0QlFaCPEf2uf+ZR/7ff/AGhVmW0/ehnkzVb9rn/mUf8At9/9oVM0js4jI34PykfpXm47%207Pz/AEPUy/7Xy/UgliEudkuAfekmszLJvX7pUAgd/pUzxpgDeoLEjFTWzRp0bcMda809Ms6VZJax%20iUZBU/LuOcitGS6abGzILHHHeqCyrFaM27eI0J2jqTVSO8eRI5mYRsuSVPb0pWbG7WNOeCRowkvB%20jO4A9qqG3DTorclmzntioDfQy3bFZWZpBktu4B9KsDULeKBnd13LwfrT1JKjRRyTuYpRs3MAo/nU%20swaztjM8ZbHb1zVa51ixsmEisrjpsXrzWBqPiS6vppLaNCscS7t+OCDVqNxOR0El+JioVQYwOo9R%20zTL3WIrKz3Im6dzwPU9TXOQTyrYptDbnYc+nqatRmS5YoU5UkqSKGhXuX7fUPtdqLlhtLsTtNNlu%20ZnQLAuSRktilgtVDAggAY2p6cc5q+tiZgYUQqQMBh0IqbotLQz4dPe6YMXJ2jpng1cgsJgslq0fy%20M+4MR1zzWhaW0dlGhMyNIeCPUD/69I0j+djDbeB9KhyGkh0dulvCVUKAOWOOlMl34cRAED5sY6mt%20EWZV1ZjlX4f0xirKRKgIQKRwQcdqjmKSMe3sGml2XbspfsDitSKGKLCRPkj5iPXio7opH87ZAVsf%20Sq99eqiERMokUgMR6UbgXllUSmR8koMYzU0V0Jo5GjjYYHTPWs21t3k3DfxjvVyOYWkohaJjuB/e%20D7q8cZqbagJE0s8jyP8AJjjY3elMWYVlWNt/90VQjaaO4aS5lADOSo9PrW9bRO6hiRyOvakxoz4Y%208qSqtu6bSeRmrLW6xxAvlSDzz1qV5FSRkjALY5YdqiHz43kse9SBJEsHO1+T15pJpSq7t2B2qFYi%20kzN+noKgvZ1t3USc7iOR09qdgLHmFvnA2sAck/SmSzAq21sNjkelVnuRJEyg4CnGfWmbl3SMSN23%20getOwiaOVHjSRzgE/nUsUhfoeACKz45lLRhkJHoO1WJmKx4i4J6H1osFy1cMqxqisCWNQxp3U57U%20katKPnBVh0JqWP5B+8HGcLjvQBIqCNQSMlT+tR+YWix1GefamB/mYOTjOV96rtK0rbWBjXHWgQsk%20owzE4wvPtTVjNxDubIyPzFPjt1YbTnGec96ndBGuwgkYONtMCphxKqKMY5B9aV7fe/71icHIwalh%20hkGPOdcseD6CpZFG/avIzSEABWMDt0NOGduTwO3vRH+7jx1x1Y9KbKFJB8wbQvA96Qzzr42jPgqz%20J/6CCD/yHJXB/DgZ/tL/ALZf+z13PxpYv4Hs2/6iCA/9+5K4X4cnA1L/ALZf+z17uD/3c8bFf7wd%200zY5qOTnpTwcrSngciuggjAJUetMMh5HpUij5j6VEVwrE96QFqxcNMPpWbKMXEi+/FXbJfLmBPrV%20a6XbdP8AU1LN6exXX/WVJjFRkbSD61L1NI1sWVJCjFPBP3fWhEwuRQrFSSam4rCqv7w/SoLjBjdj%201XmplPz59RTSmY2JHBJzVJmc9EYa6tNJc7AuFom1OflYx90ZNNlAiuCBg59ulQhZThByW4PFbxir%20HC6juTw3V1KV3DtUb3V8ZlXB245q5kWsKlhknqKsQspZVYfeHFPlQvaMyFW7eUYzvAwPzqa/vrux%20WJg53swFbUVvj5wuZM8Vma5aZjiZxht1CFzG9aaxmyX7Qcs685rF1mWR/C9ybbg7j0rRh0YXUMLo%203O2tCXRANPNt1HORQ9GPc8esbe7FwkiFg2c1oX9jNfXjTODngGu0TQSkoyuFU+lXbnSoVX7mBWl0%20LVHEaNpstpqEUuTgPyPWvQIGi+XzemeRVWz0pXkGF4Bzmr8tuI1wOuOah2NFJjb24je3PknB6D6V%20nWtg43uB1qy2UBfsKuW8v+jKw4ZuaRDV2ZRgl5ytCwSHOVrUckYOR+VMNwy9FqQ5SlFas8RyORUE%20kJRvetqGdc4K4z1pk1oJW3Iwwe1FxOJmW1sZJlB6E1r3luFuEcHHYiktbNopV3HGD1qPfcXN1cJN%20EyhG+VvWi4khZIShyORTFXKSH/ZNWHSZV6ZWi3iJWXeMAjincTRkrk9KnSE8Gpo7dUapG+78tBJE%20QiLz1qCWYsfQYokByc03B/SqQMrlju4rB8en/imYfT7Wv/oD1v4xWB4+/wCRahH/AE9r/wCgPTEt%20T66+HH/JLPCn/YFs/wD0QlFHw4/5JZ4U/wCwLZ/+iEoqhniP7XP/ADKP/b7/AO0KW0mMyb1ZQVIp%20P2uf+ZR/7ff/AGhVEWrw25xJgsOQD0Ga83HK/L8/0PTy/wC18v1LbyJBunuPnxztXtmqc9+8l1Gl%20uhVGXJ47Ht9afE0BYxEu5wMlulQajbypsNsRuZs8dhivPSPSYlxqf2NfMkb7wxgd6yLjUJ5rmXyd%204AAzVpLe3Ri9w7SFAMK/Qd6WfU4b+cGCKOIqCDgYBH+RWiiZuTK1rPcxQJHErMGJ57iq93a6hcDa%20ZtrMNxwf4qbLqLbjsfZhQq7D3q/Gk5j86IM7yHCA9Bx3p6BuQwWixFFlfewwXJPtUj3UUE8iCFmy%20QFAHUU+10u9F3JNdsh3ZwiHjBrai0rCJIqKWHG5vSpcrFJGRaW95eyY2eVFktyMYHYV0enWDQr84%203ZHPsKsRNBHCpLDcp5HrxUkL+aRGr4A5JB5IrOTuaImt4IIC8lxt68UJcTSSOIQuzBwQOgqNrcHc%208jMygkAH09atRDMLLAFAxgkeuKzGVXXzp44Ao3L1wOavWEEMc7NK+4ufuk9KprBKJBPFnzcFefWp%20oIJNkkz8tnhR2PTH0pMZLqV60d0vkKTD39zSi8EhiK/Lu42+5okspRGWkZSvTAPQ0y2s8SRuNxPX%20nt2qegxbqJmdlJOSASD0zVaSxYCSTAZs9K0WjdrwSDJVRgg96IYpTM55Cg559aFIGUtJa6F04mwF%20boPStKYAoAHDE53Y7UsduFk83djGciniOMwuqj5mOSfWpbAqjTPNtGDkliO/apJL/wAi0WKM4OAM%20mkmumdmEW4EH9KjktNyxkEYzl8+lAFm0LKrGQgu3PFR2c3LNKdrZPWoXuvLkEcQ5Xkk+mKoG88yV%20o+A+RtPY07XHc1bqTEjsGwjJgn0rOml3QRo53kHHHWobqSSSURgkIq/N70+GLCxhuT1OOop2sITY%20/mtHtOxhkn0NSWtvJIQzHBQd+9TjMauR8x6AHvVpFkCK+1QTxilcCP7M624aILkpwT2qSztzFEBM%20cqvQn1/yakecQRcgsM/dHeoRcpueN2Uk4wuen+c0txFnz0CjOCM4JqtcSbeAfeoYI5GmKt/q1Oc+%20pp8ysH3ABhj9KBgZBIAQOVOM+opPILMZHzgDAHtRI3lxBsKAxwBTw7tNh/ucEYoAQSEfdBPcU4sx%20RTySOv0p7YB+XA9KY5YqSv3e9IBqnzUY8gA8Zp6xhXXc+R3warTtJlFiHHRqtIiKoY7iR1FMB0ki%20xxtkZX2qMx+ZGCRjPTFSptZsEce9WCFAIxxipuB5f8bE8vwPZrj/AJiKc/8AbOSuD+HIyup/9sv/%20AGeu/wDjih/4QmzfPynUUwP+2clcB8Nzg6l/2y/9nr3sF/u54uK/3g7fGFp5OV5pmeadmuggZ0bm%20jHc9KVhxSKc8HpQAi/KM+9Nvoz9oEg+661MoUvg9Kkx5ymJug+6ahm1N2M6O2adTs6rRsdG2uKt2%208ckE7L0GKkdS2GbFKxbnYjB/dhe9JsITmlALOMY4q4tvvAG4c+9TZi51YpEYYY6YqwkRlTA+7/On%20NGiArnJBp1q2JCpIwx4rRR0MXO5y19IFuZSEOVbFLajfe46KFya076x2RTSyLk5JrMsN0iyTdA3F%20bJ6HJKOpdaInOcH0q5Z2mWXIye3tRY25dVJGc1srGsUYVPvVLY4xCGFII/mwWPf0rN1+BZ40wMbC%20DWhGGLYkORVDXW8u3BBwMgUo3G4FvTj5Vko7kcVfhb92dxy1Ztu+II/pxVxHC3QHqOabV2VHYSQD%20DMw4xVK4lDIVxxV+4H7tyayrgYIbtmnqBNbzeXbnHBJwKHkZpSDzUSLv6dBzToiTKCe4piCSPEDk%2085FJtIWMdttPAJY56ZqWSM7xjpjipHFDEj3ctSOhGNoqwUb5RjpyaUlWYE8Y7UiyjtYsaDvHzITg%20GrZA2nFMKhflHfmgRLZzmU7XHIGa0EZXchl7cmqNkpeV9o521prGF+U9xTMmVlmxLtK/JVO4lzI+%203gCrN7iOQAcZNZrnl/rTsS9hsZ3Mc08kbaYvyj60mTg0zNEEhzmo16HPpTyOaaR1xTQ2QgZOK5/x%208MeGYP8Ar7X/ANAeukQfN+Fc58QDnw1B/wBfa/8AoD0wR9c/Dj/klnhT/sC2f/ohKKPhx/ySzwp/%202BbP/wBEJRVAeI/tc/8AMo/9vv8A7QrBhu52QpHh/Uueo6/1re/a5/5lH/t9/wDaFYj6ReSReXb8%20Yxzn868/GO3L8z0sD9r5fqMjnbdIFUllGWIHT1NVLrUJX2LC7cD7w/StFNJv7dJ0WTb5yeWSD2NW%20NM0SKONS7F1QYO4dx3rz7o9LUwLzTru4hZFkk3u3ylfr3qax8L3ZMSzOUVAMlT971zXYJNp9upKO%20GZTlgvPNEuoR7iEUBCOCO5o52K12ZKaFaRTKoiVvmGcitdLLEisgWONR0FRPeI0myJAz45apIo5Z%20Y8u5yjAEetZuTLUR7pBC37tQSehIqJXmkXavC4O2rQthIyLknDZ5q2lopkBAwF4AHaocirFFNMWS%20RWcbQAPxqxaWgjlfzAFJOEIrQOG27sBVHbtTZAkjHyxkqOPc1PMOxHBbkqVY7lzjJqOVHtIJFiHO%20fl/GrNqGWNS/3sYYe9VVkle5k3MSpPAP5UBYhEsknILKYwSAv8RqxbXGJpcnBOOPU98U+C3ZWDjo%20ByKtW9jCrNLIA0g5TPai+gEqqJI1+bIbuOtTxgRnLYG3oB3pkcaRgmJcDHH1NR3TqEyGwwHzAVmU%20iyqo8hcuAq+h71E7+aQqfKgOHqKMRpY7h95huNJCC5Ic9vmFKwD3eMbimThcDiq0pkZQ+fLA4wKJ%20rlYWZU6His+5vN8ixPIUO7t3yKtIReLiC1MpHUkjPX1qrPd5iUAtlj27VQa8klWU3bbTGCqL/eFW%20o2QWiu+4PnGAOtVYVyOS4+03IeEEKBtfHqM1BDZhsCWRgd5KkduOKllfyJWKIUQgkgDrmmh2kiVU%20U4GMnHPWnsgJo5J7hU8yJVlTrjocdKsi2ldS33DkHjrU0MDsEY/Lg81YMqxMUxubPHtUNgEcKxYe%20Q5B5Ge1SCQJtZ/unOKz7/UorCJjdg7SoKgDJNQpetfwPbxIQG6ORginYCxPdRtIYo3DFuhB+6fam%20WWmYYyzFmkck5NFhpqWrKJBu8v8AiP8AFWoz/KGBwO1Jse5DJJ5YAVTg8dO9RsxZvLQdB39Kex3E%20AsRtYNTHcfLt5Y0gINhLHzsZB4A7CpVVgcjoOtRtE0jZDbeeKmD4jBOSAfzNAD/lUBiMg96jEuFZ%20SvDN2psk2dqxruDPg+1TbCuDgBM0gJI4kaMBsjnPSmxq2SGHOePeiS4yPlBwq5yKlik3oCygelIC%20Py+h6Y6e9SKHc+1MRy7lR93NThQq5Dn6UgPNPjmVHgm0RTyNRTI9P3cleefDnpqX/bL/ANnrvfjg%206yeEbVlGCNQQH/v3JXB/DcZOpD/rl/7PXv4L/dzxcV/vB2xpaNpB9qRTkk9K6SB33hTQMNQFIb61%20IU+WgBpGV460gyHBBpR8o5pNwJxSaGnYuoyzRkdHxwapyK6sA/GOlAk2NuB5WrJ231uXXh17etSG%205WGdoZe3WoLm4mVQYyeKsbSFx09RRKg4A9KpWZm20Qo7iJ3fknFMhnYyhiPutSSSOC2BwFzUMTFI%20g56Mc1VtCdbl6/ukMbJIcBhWVZLE6+TE3JNM1m0ubmSOWJjs24xTtAtQsmCvzqfmp9CJnUWsXkWq%20lh82KVGYt70hlOQMdOKXdsB9TUmkdhVUlD7VleIMyWKr33A1piXZx61R1OWJsI/bFNCbJIDugi9h%20U8gP2oY64FNhjHyAdNuakm4nyPSrCJPO+9Ex0PWs65+bI7VdjP8AovI5XNVxHvGDSBkcYxFx6U9I%20SsYf2pjYQY7Gp1JZdo6YpCGIcjn1q2+AFP0qDaDgDtUuC529CDn61JSLgKbQpHzd6ryWwPPSrwtm%20SYepWpJ7NzEkmzBxQMy/s4iYYOfWmzIOw+btVho/n3A5OeRSOUJz3oAbaDYpZep61pxsjtz1C1Qt%20iE7cN1qUcNkdelUjJ7jNQtGdkkHQc1jSnC8etb91KRZPk9uK55m3LjpVESBSSBThjaaQEDikIJoI%20In4NIACaeF+U5pqj5hQBDg+Zx2rnPH//ACLcP/X2v/oD11GMMTXM/EL/AJFqDHT7Wv8A6A9MaPrf%204cf8ks8Kf9gWz/8ARCUUfDj/AJJZ4U/7Atn/AOiEoqgPEf2uf+ZR/wC33/2hWzbQqBnG0Hke2axv%202uf+ZR/7ff8A2hXMT/FHSJYWiTUNnPD+TJ/8TXn42EpcvKr7no4KcYc3M7bHZ6ndWtkPmYM7EYX0%20rPluJJI/JRQiyDLEHp/kVxaeMfD8t2s15qxfaSRmCT/4mtKDxz4URC76x+8zwPs0v/xNef7Kp/K/%20uPQVan/MvvNZbCKyud0CYjZiXOepqzDaM8o/hXbkH3rFk8f+EmkQjVMjI3n7PLz/AOO1Zf4ieD5F%20A/tXbz/z7S8f+O+1DpVf5X9w/bUv5l95vwWsdsfMbq2Cfc1dIxIpUZ4OfbiuVj+I/g8r8+qYOf8A%20n3l5/wDHamb4m+Eh8qazx2P2WXj/AMcqHRq/yv7ilWpfzL7zp1Ro1abP31wPbirKEJChLfPtBJ9a%2045/ih4TCqi6ruXof9Gl4/wDHaqy/E7w05wupYCn5f3EvT/vml7Gr/K/uD21L+Zfed8u1YTI/8WQR%2061DHcodxQ/Kp5+tcQ3xO8MvtEup+YoPH7iUbf/Hafa/EfwjGu59Vw+P+faX1/wB2j2FT+V/cHtqX%208y+87CS489pbe3cqy8scdKjhjmbaspyf4T61ysXxH8IG6eSTWduVxn7LNz/45T3+JnhOMqINa4Bz%20/wAesv8A8RTdGr/K/uD21L+Zfed5bwleC/IOSPWpERWZpM8g4NcbF8U/BaxgNrXzH7x+yzf/ABFR%20f8LU8I7SF1naW6n7LN/8RUewq/yv7h+2pfzL7zvAwazbbjOT3rPjkQXAQDe2Oa5aL4qeDIo9g1fO%20DkH7NN/8RVM/E/wjb75INR3u56fZ5Rj3+7R7Cr/K/uD21L+ZfedpI4jjcyPgMOnpVKbUwsZI43cA%20+9cbcfEvw1NO7f2n8rcEeRL09fu0z/hYvhaRVWXUsBMkf6PLyT/wGq9hU/lf3C9vS/mX3nTXmoLB%20GTMS21cg+tQwwNdqupzsyhl/djH4/wAhisb/AIWB4Kuoi93qWJAAoX7PLyB3+7TpfiZ4UNmLddS+%20RTkD7PL1z/u1So1F9l/cL21P+ZfedAqxThZJFyVIK+9WLhJgwdHKZ5rkj8RfCoY7dVyq8gfZpeT/%20AN81bHxO8IzEfaNV4K4I+zS8f+OUnRq/yv7hqtS/mX3nQMLy6LRxNxtAz71fsITawhZG3v6muUj+%20KHg+HPlartB/6dpf/iKVfin4QCszapluy/Zpf/iKn2NX+V/cHtqX8y+87C5uSjAINx6mqsd95U0e%204YeTO72rk1+JvhLcrNq+GUYH+jS8D/vinj4jeCmZDJrP3TnP2Wbj/wAcpewq/wAr+4ftqX8y+86Z%207FtRuvPnXIGNoPtWrFEkBCBAc/KTXHp8VvB2451jbjgH7LNyP++Kc/xY8HMONZwR0/0Wbn/xyj2N%20X+V/cxe2pfzL7zrycEhjg+lRyPGqHJ4UdPWuPk+K/hHduXVtx/69pv8A4iqsvxP8JyKNur7MHkfZ%20pef/ABypVCr/ACv7mP21L+ZfedsHWQ4B4IqvKknCI2F7v71xy/EzwoJWB1f5Tj5vs0vP/jtXV+Kf%20gzZsOrcf9e03/wARVewq/wAr+4PbUv5l951Dqy+Rs+bsx9qnMgMhVFzHjiuPHxR8Fjgat0HB+zTf%20/EU8fFTwYhQJq+V7/wCizf8AxFL2FX+V/cw9tS/mX3nWQ/e/drtGasFAyEOK5D/ha3goAldZwT1H%202Wbj/wAcprfFXwYW41rj/r1m/wDiKXsKv8r+5h7al/MvvOokdo12RJ9D6VIjHy1yMc5rlB8VvBXP%20/E4+n+izf/EVFL8VPB5Q+XrPJ/6dZv8A4in7Cr/K/uD21L+ZfedzCoWNmY53UyZgyBYuw4rh4/iv%204SCqG1fGOp+zTf8AxFSr8U/BYOf7a59fss3/AMRS9hV/lf3MXtqX8y+8w/jYpXwZZg99QQ4/7ZyV%20wvw4Gf7S/wC2X/s9b/xU8aeH/Efhq3tNF1D7TMl4srL5MiYUI4zllA6sK4vwl4itdB+1/a45n8/Z%20t8pQcY3Zzkj1r2sJGUaFmrM8nETi6909D04sMYpo56Vyv/CwdK/597z/AL4T/wCKoHxB0of8u95/%203wv/AMVXRysz549zrU+Y89qdIfnAFcl/wsPSgvFveZ/3E/8Aiqb/AMLC0wkfuLz/AL4X/wCKp2Yc%208e51xAOc1CRg5rlz8QtLI/1F5/3wv/xVJ/wsDSsD/R7z/vhf/iqLMXOjqMZPNSQSGKQFOncVyQ8f%206Vn/AI97z/vhf/iqd/wsHSh0t7z/AL4X/wCKqeVjjOPU7eVBNGZYvxFUpd2zOPrXMw/EfTIjxBeY%207jYv/wAVVif4k6FJAVS0vwx7mNP/AIukoyG5R7mzJIiqV7lcVCsRlwvRVHFc1/wnWllsvBecdPkX%20/wCKp/8Awn2l/wDPC8/74X/4qtLOxnzK52SQiSxCj14qvpkBt7iXPJ3dawV+JGiqiqLa+4HP7tP/%20AIqoYPiJpMVxIzW96VY5HyJn/wBCqUmEnF9Ttd+0fN1zTJZM/WuRk+I+kP0tr3/v2n/xVMb4iaQz%205+z3uP8AcT/4qmosXMrHWCQkjPXNV9WiDxK3uOa5v/hYmkZ/49r3/vhP/iqZefEPSp4VSO3vAQf4%20kT/4qqsK6O3jUrHER/dxT39TXHp8TNHEaqba+yB2jT/4qiX4maO4+W2vvxjT/wCKo1KjJI7FGzuU%20dxVZ3ZDn8K5aP4laOjA/Zr7/AL9p/wDFUy4+JGkSt8ltege8af8AxVFmDkjqCd/BNT7zDGCO/Bri%20f+FhaWGyILz/AL4X/wCKqdviRpBQD7Ne/wDftP8A4qiwuZHZRSZcA+tW9n71WX1Gfzrgl+JGkKyk%20217wef3af/FVeX4qaEM/6JqGCP8Anmn/AMXU8rKUkelpiSQr3xgVfJCII3544ry6H4vaDHMXNpqR%20GMcRx/8AxdWG+M2glhi01LA9Yo//AIulysOZHXahamKVTHxubmq88ISZv9kZ+tcrN8YtBlkVjZ6j%20x/0yj/8Ai6gm+LWhSkn7HqAP/XJP/i6OVhzI66I5H1p03ymQx9M5FcKnxR0ZCxFtf89P3af/ABdP%20X4q6LtAe1v8APfEaf/F1aRF0dddXHmWRHestxhlFc7L8S9FZSI7a+GT3jT/4uqx+ImlFsm3vP++E%20/wDiqLMhnWnA5ozwTXJn4iaSf+Xe9/74T/4qk/4WHpO3At73r/cT/wCKosyTqSDRGM/nXKf8LC0r%20P/Hvef8AfCf/ABVOX4iaSvS3vf8AvhP/AIqizEdSw+fFcx8RBjwzBj/n7X/0B6jX4h6XuJa3vOv9%20xf8A4qsjxX4ssNd0iO1s4rhJFnEhMqqBgKw7E8807AfaHw4/5JZ4U/7Atn/6ISij4cf8ks8Kf9gW%20z/8ARCUVQw8XfD7wx47+x/8ACV6Z9v8AsW/7P/pEsWzft3fcZc52L1z0rmv+GfPhj/0LP/k/c/8A%20xyiigA/4Z8+GP/Qs/wDk/c//AByj/hnz4Y/9Cz/5P3P/AMcoooAP+GfPhj/0LP8A5P3P/wAco/4Z%208+GP/Qs/+T9z/wDHKKKAD/hnz4Y/9Cz/AOT9z/8AHKP+GfPhj/0LP/k/c/8AxyiigA/4Z8+GP/Qs%20/wDk/c//AByj/hnz4Y/9Cz/5P3P/AMcoooAP+GfPhj/0LP8A5P3P/wAco/4Z8+GP/Qs/+T9z/wDH%20KKKAD/hnz4Y/9Cz/AOT9z/8AHKP+GfPhj/0LP/k/c/8AxyiigA/4Z8+GP/Qs/wDk/c//AByj/hnz%204Y/9Cz/5P3P/AMcoooAP+GfPhj/0LP8A5P3P/wAco/4Z8+GP/Qs/+T9z/wDHKKKAD/hnz4Y/9Cz/%20AOT9z/8AHKP+GfPhj/0LP/k/c/8AxyiigA/4Z8+GP/Qs/wDk/c//AByj/hnz4Y/9Cz/5P3P/AMco%20ooAP+GfPhj/0LP8A5P3P/wAco/4Z8+GP/Qs/+T9z/wDHKKKAD/hnz4Y/9Cz/AOT9z/8AHKP+GfPh%20j/0LP/k/c/8AxyiigA/4Z8+GP/Qs/wDk/c//AByj/hnz4Y/9Cz/5P3P/AMcoooAP+GfPhj/0LP8A%205P3P/wAco/4Z8+GP/Qs/+T9z/wDHKKKAD/hnz4Y/9Cz/AOT9z/8AHKP+GfPhj/0LP/k/c/8Axyii%20gA/4Z8+GP/Qs/wDk/c//AByj/hnz4Y/9Cz/5P3P/AMcoooAP+GfPhj/0LP8A5P3P/wAco/4Z8+GP%20/Qs/+T9z/wDHKKKAD/hnz4Y/9Cz/AOT9z/8AHKP+GfPhj/0LP/k/c/8AxyiigA/4Z8+GP/Qs/wDk%20/c//AByj/hnz4Y/9Cz/5P3P/AMcoooAP+GfPhj/0LP8A5P3P/wAco/4Z8+GP/Qs/+T9z/wDHKKKA%20D/hnz4Y/9Cz/AOT9z/8AHK6C2+GPgW1tYreLwfobJCgRTLp8UjkAYG52BZj6kkk9SaKKAJf+FceC%20P+hN8P8A/grg/wDiaP8AhXHgj/oTfD//AIK4P/iaKKAD/hXHgj/oTfD/AP4K4P8A4mj/AIVx4I/6%20E3w//wCCuD/4miigA/4Vx4I/6E3w/wD+CuD/AOJo/wCFceCP+hN8P/8Agrg/+JoooAP+FceCP+hN%208P8A/grg/wDiaP8AhXHgj/oTfD//AIK4P/iaKKAD/hXHgj/oTfD/AP4K4P8A4mj/AIVx4I/6E3w/%20/wCCuD/4miigA/4Vx4I/6E3w/wD+CuD/AOJo/wCFceCP+hN8P/8Agrg/+JoooAP+FceCP+hN8P8A%20/grg/wDiaP8AhXHgj/oTfD//AIK4P/iaKKAD/hXHgj/oTfD/AP4K4P8A4mj/AIVx4I/6E3w//wCC%20uD/4miigA/4Vx4I/6E3w/wD+CuD/AOJo/wCFceCP+hN8P/8Agrg/+JoooAP+FceCP+hN8P8A/grg%20/wDiaP8AhXHgj/oTfD//AIK4P/iaKKAD/hXHgj/oTfD/AP4K4P8A4mj/AIVx4I/6E3w//wCCuD/4%20miigA/4Vx4I/6E3w/wD+CuD/AOJo/wCFceCP+hN8P/8Agrg/+JoooAP+FceCP+hN8P8A/grg/wDi%20aP8AhXHgj/oTfD//AIK4P/iaKKAD/hXHgj/oTfD/AP4K4P8A4mj/AIVx4I/6E3w//wCCuD/4miig%20A/4Vx4I/6E3w/wD+CuD/AOJo/wCFceCP+hN8P/8Agrg/+JoooAP+FceCP+hN8P8A/grg/wDiaP8A%20hXHgj/oTfD//AIK4P/iaKKAD/hXHgj/oTfD/AP4K4P8A4mj/AIVx4I/6E3w//wCCuD/4miigA/4V%20x4I/6E3w/wD+CuD/AOJo/wCFceCP+hN8P/8Agrg/+JoooAP+FceCP+hN8P8A/grg/wDiaP8AhXHg%20j/oTfD//AIK4P/iaKKAD/hXHgj/oTfD/AP4K4P8A4mj/AIVx4I/6E3w//wCCuD/4miigDoLa2gs7%20WK1s4Y4LeFBHFFEgVI1AwFUDgAAYAFFFFAH/2Q==" height="390" width="677" overflow="visible"> </image>
          </svg>
        </div>
      </div>
      <div class="fig"><span class="labelfig">FIGURA 1.&nbsp; </span><span class="textfig">Cooperativa de Producción Agropecuaria Amistad Cubano Búlgara.</span></div>
      <p>Tiene
        un área total de 643 ha, que son atendidas en estos momentos por la 
        Empresa Agropecuaria Miguel Soneira Ríos del Ministerio de Agricultura y
        juega un papel protagónico en el cumplimiento de los programas 
        priorizados por el Grupo Agropecuario y Forestal de Mayabeque enfocado 
        en la producción de viandas, hortalizas, granos y frutales, pero 
        fundamentalmente en la producción de papa (<i>Solanum tuberosum</i>) para el consumo de la capital del país (<span class="tooltip"><a href="#f6">Figura 2</a></span>). </p>
      <div id="f6" class="fig">
        <div class="zoom">
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height="239" width="1009" overflow="visible"> </image>
          </svg>
        </div>
      </div>
      <div class="fig"><span class="labelfig">FIGURA 2.&nbsp; </span><span class="textfig">Porcentaje del área cultivable en la CPA Amistad Cubano Búlgara.</span></div>
      <p>En
        la investigación se realizaron encuesta a directivos (2) y trabajadores
        agrícolas relacionados a la actividad de riego (seis operadores de 
        máquinas de pivote central).</p>
      <p>Los indicadores evaluados fueron:</p>
      <div class="list"><a id="id0xc4dc00"><!-- named anchor --></a>
        <ol style="list-style-type: decimal">
          <li>
            <p>Área bajo riego</p>
          </li>
          <li>
            <p>Fuerza de trabajo. Edad del personal.</p>
          </li>
          <li>
            <p>Nivel escolar del personal.</p>
          </li>
          <li>
            <p>Experiencia del personal que explota los sistemas de riego</p>
          </li>
          <li>
            <p>Nivel de conocimiento y disposición que tiene la junta directiva y personal de riego con respecto al SAR.</p>
          </li>
          <li>
            <p>Capacitación a los regantes.</p>
          </li>
          <li>
            <p>Utilidad que se le da a la estación agroclimática.</p>
          </li>
        </ol>
      </div>
      <p>También
        se realizaron evaluaciones de las características técnicas de las 
        máquinas evaluadas, pluviométricas a tres (3) sistemas de riego por 
        aspersión (máquinas de pivote central) para determinar los parámetros de
        explotación y conocer los valores del Coeficiente de Uniformidad (CU), 
        la Uniformidad de Distribución (UD), determinando la calidad del riego a
        lo largo del lateral, utilizándose el software Pluviopivot. Se 
        determinó la eficiencia de aplicación del riego a través de la ecuación: </p>
      <div class="disp-formula">
        <math>
          <mi mathvariant="normal">E</mi>
          <mi mathvariant="normal">f</mi>
          <mo>=</mo>
          <mfrac>
            <mrow>
              <mi mathvariant="normal">h</mi>
              <mi mathvariant="normal">m</mi>
            </mrow>
            <mrow>
              <mi mathvariant="normal">h</mi>
            </mrow>
          </mfrac>
        </math>
        <span class="labelfig"> &nbsp;</span></div>
      <div style="clear:both"></div>
      <p>donde:</p>
      <p><b>Ef -</b> eficiencia de aplicación del riego por la máquina (%). </p>
      <p><b>Hm -</b> lámina media de agua recogida por los pluviómetros (mm). </p>
      <p><b>H -</b> norma parcial bruta aplicada por la máquina para un% determinado (m<sup>3</sup>·ha<sup>-1</sup>). </p>
      <p><b>Además, se determinaron otros parámetros como: á</b>rea 
        regada adecuadamente (ARA): basada en la lámina que está dentro del 
        rango del 10% por encima y por debajo de la lámina media, área 
        excesivamente regada (ARE): basada en la lámina que está por encima del 
        110% de la lámina media y área insuficientemente regada (ARI): basada en
        la lámina que está por debajo del 90% de la lámina media.</p>
      <p>Todo 
        ello permitió caracterizar el entorno productivo, diagnosticar las 
        condiciones técnicas-organizativas y la disposición del colectivo 
        laboral de propiciar la implementación de un SAR en tiempo real, como 
        una alternativa que conlleva a mejorar la gestión del riego y la 
        productividad.</p>
    </article>
    <article class="section"><a id="id0xd5ab00"><!-- named anchor --></a>
      <h3>RESULTADOS Y DISCUSIÓN</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <p><b>Dificultades encontradas que imposibilitan la</b> correcta implementación del <b>servicio de asesoramiento al regante</b></p>
      <p>Bajo grado de escolaridad y fluctuación laboral.</p>
      <p>En la <span class="tooltip"><a href="#f7">Figura 3</a></span> se observa la cantidad de trabajadores que tiene la CPA por edad y sexo. </p>
      <div id="f7" class="fig">
        <div class="zoom">
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            <image transform="matrix(0.6196 0 0 0.6196 0 0)" 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MdLSVMmwt43EZtzEkq7%206S0YhX6dY99wtmc7ZQ5SeERVlIgwLo18fgvAZLylk6+ya0ySfaQ4fiJZNKlEXjlugJy3qFctN2xS%205vQUkraXRolHj1db8I054SnHCcU0l838i85JI9Xjm3UknSQV6xtlkuiEzblRsGiSTgOnwS+VNwXF%20rYJw1tuOMrQqTwpKdH3c2nNgAmqhQ7weuzh1GoEihVQ6ohUutsTIxUydTW3iJapcMnlurfXFQSUn%20qMxKw8dJaAGqgAAAjKR1hW+Oo9ijAFx9Xtcdge2sgJMAAAAAAAAAAAAAAAEZbnV7vHZ/trwCTAUv%20aR9mn+F7/ILnKPxaOtmP3H/j/V1KSLplwBdNm/2qh4Gf84ps3/Dp6mn/AG5/k/T1rsKVqABS9pH2%20af4Xv8goc8/Bp6kPF+RSBQIYA0LZ51M/xhX4EDTZLwp3uqE/C9nStIt0kAAHHWup5/F3fwGO2H4l%20O9GtGxvBr3atTIRrXzkAdtF64gcYa/GQ44jh1bs6krBcajep1tdGSfRQB4zZHBob8nLn1Da3MuOG%20ORJqwx/sHi9r2KZq6ItflU2RaqX8yEdnn6X/AOwUn1uPyev2IvzfmP5kI7PP0v8A9gfW4/J6/YfN%20+Z7Qr/RJmMRuAmjXuIbza3HDOok44ZfpHS6ziK6op2eebOf2P2nE2zZYtoukoAAABlW0GQ7Hrc51%20lhUl0iaJtlGBGpSm0EWJnoSWnSfcIaXATZcRp1sPm9MTi6ombObuwpVAuabOq8+jVOndH1KC20/l%20beKQy4y9mJK0uZGjxzIMjI0kO91fTVVNNUWTGlDv8NTTRFdNW1TVbHNZNsfa9YdynIuubb6oi2VQ%204zcopKlpMnEurUgsqU44F4h7p4/QP2m9trmizmi1+V4ey6i8t55sbVZf6bieFz81Qz+Y8arRqbHJ%20fC06e9KbEJaADML0/UkvwN/lJGSzTj1aNUK7EduUGK9wAGoWX+m4nhc/NUNblfAp065WWH7EJsWD%20sAACGvL9NzPA3+akTMv41OnVKszjwtejvQy4adgwBNWb+pIfhc/KUIeYcGrRrhZ5P4qjT3ZagMw3%20gArG0LqRrjCfwLFTnPBje6pRsV2dLCrmlXRTqhT5EOqIcelzW2EUDVNZHY6l4OKSsy1+dtv94pWb%20KWG4KW4pu6qZiaeaO159XmRaIiY5tKSr1Pu2c650VVk0dphJag9Q1IN5zDEzcNzNlbL7OCSJW6eO%204OV1Xd09qna02We1+UzTHPFq2bCKzNrUCFVJzaWpcqCpbyW8chmTiU5kY4+KvDMX0GLXL7uKMTVT%20HNEfckXNNl5MQ14aBMAAAAZHXeu5/GHfxmNbhuFTuxqfO8dx696rW4R2RABrlC6kgcXa/AQyeJ4t%20W9Ot9FwPAo3adTuHBKAGR13rufxh38ZjFYvjV7061XedqfS4BHcwBrtC6kgcXa/AQ2uE4NG7Gpa3%20fZj0O4SHsAAAAAAAAAAABGXJbVFuWkO0itRzkwHlNrW2lxxlWdlZONqS4yptxJpWgjI0qIB70ij0%202kQkwqczqY6VKWZGpS1rccUaluOOLNS3FrUZmpa1Goz0mYDsAAAAAAAAAAABGUjrCt8dR7FGALj6%20va47A9tZASYAAAADKP6gbnKi063GlVOr0VMyrxy6Ro6GHM5oxPgr5OSIy8jpGZ4kSk+L4xHoIw1c%20AAAAAAAABGW51e7x2f7a8AkwFH2oPsx40OQ+sm2WUvuOuK3EpSSDUZ+AiFxlM2bcz5utmv3FTM/D%20iOf+bqZPAv2myq0xSJEKdTZM1K1U9c5jUokk2WZWrPMoyMk6cqySf0CzpxMTVszExM81vlUVeBqp%20omuJpqiOeybbP48ztq91U+nTW6chp+fVHUG6inw0E46TZHhnWajQ22nHQRrURGY9130UzZz1dEOd%201hqq6dq2Kaemeb26Gl7MlqW3NWptTSlJYUppeU1JM855VZTUnEvoMyFXm3NTp6l/+3Ysm8/T1rwK%20VpwBS9pH2af4Xv8AIKHPPwaepDxfkUgUCGANC2edTP8AGFfgQNNkvCne6oT8L2dK0i3SQAAcda6n%20n8Xd/AY7YfiU70a0bG8Gvdq1MhGtfOQB20XriBxhr8ZDjiOHVuzqSsFxqN6nW10ZJ9FAHHWupp/F%203fwGOGK4VW7Op4vOzPoZAMSqgB20XrmBxhr8ZDvheLTvRre7vtR6WvDbLUAAABlW0GZEiV2W7LkN%20xWjNlBPOrSgsy20pSRGvRiZnoIaXAVRFxFs2c+th83omrFVREW83dhmdtQKpSL7qMFVRcq8KdDTN%20fkyEtnIYfS4lttpa2koTkWg1KQnAiLA8C3cfV1TVTezFu1Exb53PEV03lxTVs7FVNVlkc0x5Z5fW%209ICkntbqySMsSo8TEu7/AM936x+08ed2NbzXH/8AJTv1aofoKy/03E8Ln5qhSZjxqtGpqsl8LTp7%200psQloAMwvT9SS/A3+UkZLNOPVo1QrsR25QYr3AAahZf6bieFz81Q1uV8CnTrlZYfsQmxYOwAAIa%208v03M8Df5qRMy/jU6dUqzOPC16O9DLhp2DAE1Zv6kh+Fz8pQh5hwatGuFnk/iqNPdlqAzDeACsbQ%20upGuMJ/AsVOc8GN7qlGxXZ0vzxdtPpt1syGotFlxLojOpagVN6IuOpo2nPFeKXhq1tFpVlJZmZbi%20cRU4euq6mLaom7nni23RZ0o9EzT5eRL3XcpMy+hzp1UejLSRzZUKFIeSpCi/5LbjacMVF9pRH4pa%20C8b7PG4uLY2rabfJbMfa80UeXkaLshmsTZGujw34Mcoy22Y0lk47iUNuISX7pXjJLRoxItAn5XTN%20N/MTMTOz5OXyw7YeLK59DUho00AAABiF8P14qzKj0Vpg5Tsh9SpMvObDSUL7qW8FLUo1FlTmLunj%20owPUXU1fCpinn2Y5/QwOIi7+PeTXbZtTyRzzyyq9DuK6qhDrMB6HFauSkvpi5kqWcNZutpcbfwM9%20YSMi8xoxx+nTo/bu9rqiqLI26fsfl9cXVFVNUTPw6ot97os6NL+QKhfbVzwaZVHaY/FfZfkSDhx5%20DbiENZUJ8dx5aSzOOJ/Z0kSgpqvYrimrZs80T95Xd3E3U1UxXExMRyzH3dD9FULqSBxdr8BDO4ni%201b0621wPAo3adTuHBKAGN3ZUIFPqVRlT5LUSMiS4S331pabLFZkWKlmRDGYmiar6qIi2dqdarriZ%20qmzpccWXFlx0SYjzciO4WZt5pRLQou+lSTMjEaqmYmyeSXiYsccG5bdqEtUOBVYcuWgjNcdiQ044%20kkngozQhRqLAz0j3Vc10xbNMxHofs0zHPDbqF1JA4u1+AhscJwaN2NSzu+zHodwkPYAAADglVqLG%20fUytCzWjDE0kWGkse6Zd8RL3GUUVbMxKVd4Squm2LHrBqLE3PqkqTq8McxEW7j3jPvDpcYim8ts8%20jnfXE3dlvlZlTSvSdtPue3Hr1qbFLpcSFNh6mPSCWnhhu50LW5BczJRqvF0EffM90d3FbaXV/h+g%20IkXBXXK2iW8aqVMTGSqVIZdQTrTaI0FlJuuJSSj/AHTWJpLN38A/v8z7E6C6eOqoRTCklBcdW28h%20bco1pRqXWVIJ1pwlLSRpWkjLHSA+E7VrCXLmw01MzmQEJcejcHk61xtwzJC4zeqzSUqyngbBLIB1%20sbQbQk2/Fr8WfwqmTlG3CVHaeefecTmzNNxm0KkKcTq1ZkE3mLA8S0AONvavs+XGiSemG0NTZK4L%20JONvNrTKaSanGXkLQlbLiUliaXSSYD0bvuzq1Qa1IjVRxiLTEuMVV4m340mIakY59W62h1B5VZkK%20yYHuliA5qbftjUql0Knqrj0xUymtS6ZIlJfelTIyWkGTyzJslLdcStJmnKSlGf2cQEnBv60JtuOX%20IxUm+hmVqaekuJW0pDqF6s2ltOJQ6lzOZJ1ZpzGZkWGkB92/e1tV+VJhU2Uvh8MkrkwJTD8OUhC/%20srVHlNsu5FdxWXA++AnAAAAAABGUjrCt8dR7FGALj6va47A9tZASYAAAADHv6jrOu+66dbUS26Q7%20U10+qIqEtSHorKUNMpNOX/UPMma1Z/FykZaDxMtGIa8w4txltxbamVrSSlMrympBmWJpVkNacS3D%20yqMvpAfYAAAAAAAIy3Or3eOz/bXgEmApO0ttDjUBDiSWhWuJSVFiRl4m6Ri5yiO1o62Z/cc2fD/V%201MsfhIrVegzf/Q0Vx1bS/OyloNrxT+40lSiPvq/+kxaTTt1RPkp1qGmv4d3NP4q/VHP69XpUajNV%201NGvC5olVOJWmKhNcksLaZcbUiEX7ph43EG4SCaT4uRScMcdIhXcVbNdcTZVbPq8izvpu9u6uppt%20ommnyz+LnmPJz+lv+xye5UaOdQdaNhyZGiSFsHuoU6hSzQeP3ccBGzOraponp9ibkVEUV3tMTbZM%20R3mhioaQAUTaqiWuHEREcS1JUTyWnVlmJCjyFmy93Lu4d0Uec2W0W83L1ImK8jGGqXVaJe1HYh1e%20dPh1FuUdUiTnTkElLLZGh9szItV+9WlBknAjx0EKya6a7qqZpiJpsss5NHn5HC2JpnkLyrFUckUt%20VOkLjU5mswIsl1o8pyVrkpQ61mL/AMpBYpX95Xi/sqI2Gu6bKtqLatiqfRyayimOW3obzs86mf4w%20r8CBcZLwp3uqEnC9nStIt0kAAHHWup5/F3fwGO2H4lO9GtGxvBr3atTFKhW6NTVNIqM+NCU+eVhM%20h1DRrPvIJZlmPwDV1XlNPPMQ+fXdzXX2YmbOiHUt5pto3XFpQ0ksynFGRJIu+ZnoHq1ziJmbHZbz%207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height="294" width="807" overflow="visible"> </image>
          </svg>
        </div>
      </div>
      <div class="fig"><span class="labelfig">FIGURA 3.&nbsp; </span><span class="textfig">Cantidad de trabajadores que tiene la CPA por edad y sexo.</span></div>
      <p>Con
        un total 148 trabajadores, el 47,3% de los trabajadores superan los 50 
        años, y solo 21 (14,2%) son mujeres, por lo que se debe hacer más para 
        incrementar el número de mujeres, teniendo en cuenta que el mayor 
        porcentaje supera los 50 años. </p>
      <p>El nivel escolar de la fuerza de 
        trabajo es uno de los indicadores más afectados, la mayor parte de los 
        trabajadores tiene solo 9<sup>no</sup> grado (<span class="tooltip"><a href="#f8">Figura 4</a></span>).</p>
      <div id="f8" class="fig">
        <div class="zoom">
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height="329" width="1117" overflow="visible"> </image>
          </svg>
        </div>
      </div>
      <div class="fig"><span class="labelfig">FIGURA 4.&nbsp; </span><span class="textfig">Nivel escolar del personal de la Cooperativa.</span></div>
      <p>Al
        buscar las causas de estos resultados, se evidenció que hay un éxodo 
        del personal con mayor nivel de escolaridad, los cuales solamente 
        realizan su servicio social y luego abandonan el trabajo, permaneciendo 
        los de menos nivel cultural y otro personal por cercanía, al vivir en 
        áreas aledañas a esta.</p>
      <p>Dicho éxodo y fluctuación laboral generan 
        dificultades en la idoneidad y experiencia de los trabajadores, donde 
        solamente 16, el 10,8% labora en la actividad de riego y son los 
        responsables de operar las máquinas de pivote central, el conocimiento 
        del 100% es empírico y solamente dominan las operaciones que hay que 
        realizar para encender y apagar la MPC, la mayoría tienen otros trabajos
        en la misma área y como otra vía de ingreso realizan la actividad de 
        operario de la máquina.</p>
      <article class="section"><a id="id0x4cade00"><!-- named anchor --></a>
        <h4>No idoneidad y poca experiencia laboral</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <p>El
          jefe de la actividad de riego no tiene experiencia, ni dominio de la 
          actividad, lo que afecta la calidad y eficiencia de la actividad de 
          riego reflejado en los resultados de las evaluaciones realizadas a las 
          MPC evaluadas.</p>
        <p>Estos indicadores negativos repercuten en la 
          eficiencia de la actividad del riego y evidencia la necesidad de una 
          preparación constante y sistemática de la fuerza laboral debido a su no 
          permanencia en el puesto de trabajo, elemento que solamente puede 
          lograrse a través de un sistema de capacitación y de asesoramiento al 
          regante, teniendo en cuenta que la experiencia en la dirección y 
          explotación de sistemas de riego es vital para un mejor aprovechamiento y
          que la explotación de los sistemas de riego es una actividad 
          extremadamente cara. </p>
      </article>
      <article class="section"><a id="id0x4cae500"><!-- named anchor --></a>
        <h4>No capacitación de los obreros vinculados a la actividad del riego</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <p>Sin
          embargo, el personal de la actividad de riego no ha recibido 
          capacitación para realizar evaluaciones pluviométricas, ni otro tipo de 
          capacitación en la actividad de riego que permita controlar la cantidad 
          de agua aplicada, lo que refleja que la comunidad de regante no es vista
          como el motor que planifique, impulse y ejecute las estrategias del 
          desarrollo del riego en el territorio.</p>
        <p>Al respecto <span class="tooltip"><a href="#B15">Playán (2014)</a><span class="tooltip-content">PLAYÁN, J.E.: “La innovación en el regadío. Nuevas tecnologías y optimización del binomio agua-energía”, <i>[en línea]</i>, En: <i>XXIII Congreso Nacional de Comunidades de Regantes de España, Palos de la Frontera, Huelva, España</i>, Palos de la Frontera, Huelva, Zaragoza, España, 2014, <i>Disponible en:</i> <a href="https://digital.csic.es/bitstream/10261/95754/1/PlayanE_XIIICongNalReg-Huelva_2014.pdf" target="xrefwindow">https://digital.csic.es/bitstream/10261/95754/1/PlayanE_XIIICongNalReg-Huelva_2014.pdf</a>.</span></span> refiere que no resulta esperable que la tecnología que llega en cajas a
          una comunidad de regantes sea absorbida al día siguiente por los 
          usuarios, se necesita un proceso de maduración de las personas y una 
          formación muy individualizada sobre las nuevas tecnologías; contínua 
          planteando que las administraciones públicas reconocen veinte años 
          después del cierre de los servicios de Extensión Agraria, la importancia
          del asesoramiento directo y continuado.</p>
      </article>
      <article class="section"><a id="id0x4caed00"><!-- named anchor --></a>
        <h4>Análisis que se ajustan a las condiciones de la CPA</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <p>No existencia en la CPA de los documentos técnicos que explican cómo operar las máquinas de pivote central (MPC).</p>
        <p>La
          CPA no tiene la documentación reglamentaria de cada MPC, lo que provoca
          que se apliquen empíricamente normas inadecuadas de riego, donde además
          influye el cambio y ubicación de boquillas o aspersores entre torres, 
          además, no se tienen en cuenta la humedad existente en el suelo para 
          efectuar el riego y aunque los directivos tienen conocimiento de la 
          utilidad e importancia de la estación agroclimática no se le ha hecho 
          extensiva a los trabajadores vinculados a la actividad de riego, no 
          utilizándose los datos que registra la estación agroclimática, debido a 
          la falta de personal calificado, al no asesoramiento y no capacitación 
          en el uso de esta tecnología, limitando la determinación de las pérdidas
          de agua por evapotranspiración y con ello las necesidades hídricas del 
          cultivo.</p>
        <p>Otro elemento que demuestra que no se realiza el servicio de asesoramiento al regante son:</p>
        <div class="list"><a id="id0x4caf500"><!-- named anchor --></a>
          <ul>
            <li>
              <p>La no evaluación pluviométrica e incorrecta manipulación de los sistemas de riego.</p>
            </li>
          </ul>
        </div>
        <p>Esto
          provoca que el productor no conozca los parámetros de trabajo de las 
          máquina antes de comenzar la campaña de riego, impidiendo la regulación 
          de éstas para que trabajen con una mejor eficiencia y exista una buena 
          calidad de aplicación del riego.</p>
        <p>En la <span class="tooltip"><a href="#t2">Tabla 1</a></span> se expresan los resultados de la evaluación pluviométrica de tres máquinas de riego antes de la puesta en marcha.</p>
        <div class="table" id="t2"><span class="labelfig">TABLA 1.&nbsp; </span><span class="textfig">Parámetros de evaluación de la eficiencia del riego en las máquinas de riego antes de la puesta en marcha</span></div>
        <div class="contenedor">
          <div class="outer-centrado">
            <div style="max-width: 1160px;" class="inner-centrado">
              <table>
                <colgroup>
                <col>
                <col>
                <col>
                <col>
                </colgroup>
                <thead>
                  <tr>
                    <th align="justify">Parámetros de la evaluación </th>
                    <th align="center">MPC: Nombre de Dios III</th>
                    <th align="center">MPC: Arango</th>
                    <th align="center">MPC: Nombre de Dios I</th>
                  </tr>
                </thead>
                <tbody>
                  <tr>
                    <td align="justify">Cultivo</td>
                    <td align="center">Papa </td>
                    <td align="center">Papa</td>
                    <td align="center">Boniato</td>
                  </tr>
                  <tr>
                    <td align="justify">Regulación de la máquina (%)</td>
                    <td align="center">20%</td>
                    <td align="center">25%</td>
                    <td align="center">25%</td>
                  </tr>
                  <tr>
                    <td align="justify">Mpb aplicada (m<sup>3</sup>·ha<sup>-1</sup>)</td>
                    <td align="center">250</td>
                    <td align="center">280</td>
                    <td align="center">280</td>
                  </tr>
                  <tr>
                    <td align="justify">Lámina Media Ponderada Aplicada (mm)</td>
                    <td align="center">19,68 mm</td>
                    <td align="center">20,87 mm</td>
                    <td align="center">20,17 mm</td>
                  </tr>
                  <tr>
                    <td align="justify">Coeficiente de Uniformidad Ponderado (%)</td>
                    <td align="center">63,8%</td>
                    <td align="center">69,71%</td>
                    <td align="center">65,37%</td>
                  </tr>
                  <tr>
                    <td align="justify">Coeficiente de Variación Ponderado</td>
                    <td align="center">44,6%</td>
                    <td align="center">48,9%</td>
                    <td align="center">41,04%</td>
                  </tr>
                  <tr>
                    <td align="justify">Eficiencia de aplicación (%)</td>
                    <td align="center">78,7%</td>
                    <td align="center">74,2%</td>
                    <td align="center">72%</td>
                  </tr>
                  <tr>
                    <td align="justify">ARA</td>
                    <td align="center">8%</td>
                    <td align="center">32,49%</td>
                    <td align="center">18,24%</td>
                  </tr>
                  <tr>
                    <td align="justify">ARI</td>
                    <td align="center">47%</td>
                    <td align="center">41,05%</td>
                    <td align="center">43,12%</td>
                  </tr>
                  <tr>
                    <td align="justify">ARE</td>
                    <td align="center">45%</td>
                    <td align="center">26,46%</td>
                    <td align="center">38,64%</td>
                  </tr>
                </tbody>
              </table>
            </div>
          </div>
        </div>
        <div class="clear"></div>
        <p>Los
          resultados de las tres MPC reflejan que la eficiencia de aplicación de 
          las MPC evaluadas está en el rango del 70%, lo que se ajusta a este tipo
          de tecnología, pero podían ser superiores si se hubieran regulado. La 
          MPC Nombre de Dios III posee la mayor eficiencia de aplicación, sin 
          embargo, esta presenta la menor área adecuadamente regada, lo que quiere
          decir que la eficiencia de aplicación, no está relacionada con el 
          coeficiente de uniformidad de la máquina y el ARA, en estos elementos 
          tienen repercusión la velocidad y dirección del viento, la regulación de
          la máquina, así como, las características de los aspersores, las 
          características topográficas del suelo, evaporación y arrastre del 
          viento. </p>
        <p>A pesar de las insuficiencias detectadas, es posible 
          trabajar por erradicarlas y accionar en la implementación de un servicio
          de asesoramiento al regante apoyados sobre las fortalezas y 
          oportunidades y trabajando con las debilidades que se relacionan:</p>
      </article>
      <article class="section"><a id="id0x4def100"><!-- named anchor --></a>
        <h4>Principales fortalezas para la implementación de un SAR en la CPA</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <div class="list"><a id="id0x4def380"><!-- named anchor --></a>
          <ul>
            <li>
              <p>Contar con el equipamiento en los predios de la CPA.</p>
            </li>
            <li>
              <p>Disposición de la junta directiva para la implementación del SAR.</p>
            </li>
          </ul>
        </div>
      </article>
      <article class="section"><a id="id0x4defc00"><!-- named anchor --></a>
        <h4>Principales debilidades para la implementación de un SAR en la CPA</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <div class="list"><a id="id0x4defe80"><!-- named anchor --></a>
          <ul>
            <li>
              <p>Bajo nivel de escolaridad</p>
            </li>
            <li>
              <p>No se realiza el servicio de asesoramiento al regante por falta de un técnico calificado que atienda la actividad.</p>
            </li>
            <li>
              <p>Falta de un programa de capacitación y calificación de trabajadores vinculados a la actividad de riego.</p>
            </li>
          </ul>
        </div>
      </article>
      <article class="section"><a id="id0x5a7cb00"><!-- named anchor --></a>
        <h4>Oportunidades que brinda el entorno</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <div class="list"><a id="id0x5a7cd80"><!-- named anchor --></a>
          <ul>
            <li>
              <p>Existencia
                de una estación climatológica que brinda parte de la información 
                necesaria para establecer el régimen de riego de los cultivos en tiempo 
                real.</p>
            </li>
            <li>
              <p>Interés de la Universidad para introducir tecnologías integrales para el manejo sostenible del agua.</p>
            </li>
            <li>
              <p>Necesidad de elevar los indicadores productivos haciendo un uso racional del recurso agua.</p>
            </li>
          </ul>
        </div>
      </article>
    </article>
    <article class="section"><a id="id0x5a7da00"><!-- named anchor --></a>
      <h3>CONCLUSIONES</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <div class="list"><a id="id0x5a7dc80"><!-- named anchor --></a>
        <ul>
          <li>
            <p>El
              45,5% de los obreros encuestados y vinculados con la explotación de los
              sistemas de riego no tienen conocimientos de que es un SAR y tienen 
              curiosidad por las aportaciones que el mismo puede hacer a favor de su 
              capacitación y de la actividad de riego.</p>
          </li>
          <li>
            <p>El bajo nivel cultural (el 45,5% alcanza el 9<sup>no</sup> grado, acompañado de la poca capacitación son debilidades que pueden 
              influir en la implementación del SAR, mientras que la existencia de una 
              estación climatológica en los predios de la CPA y la disposición de la 
              junta directiva y obreros son fortalezas para la implementación del SAR.</p>
          </li>
        </ul>
      </div>
    </article>
  </section>
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