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<title>Quality Assessment of Mechanized Rice Transplantation in Cuba</title>
<meta content="Seedbed, Seedling, Tray, Substrate, Technologysemillero, postura, bandeja, sustrato, tecnología" name="keywords">
<meta content="Alexander Miranda-Caballero" name="author">
<meta content="Guillermo S. Díaz-López" name="author">
<meta content="Michel Ruiz-Sánchez" name="author">
<meta content="Calixto Domínguez-Vento" name="author">
<meta content="Pedro Paneque-Rondón" name="author">
<meta content="index, follow" name="robots">
<meta content="This article is under license Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0); URL=https://creativecommons.org/licenses/by-nc/4.0" name="copyright">
<meta content="Cervantes-Producciones Digital; URL=https://www.edicionescervantes.com" name="organization">
<meta content="en" name="lang">
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  <div class="toctitle">Revista Ciencias Técnicas Agropecuarias Vol. 31, No. 2, April-June, 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/v31n2e05">https://cu-id.com/2177/v31n2e05</a></div>
  <div class="toctitle2"><b>ORIGINAL ARTICLE</b></div>
  <h1>Quality Assessment of Mechanized Rice Transplantation in Cuba</h1>
  <div>&nbsp;</div>
  <div>
    <p><sup><a href="https://orcid.org/0000-0002-4109-6868" rel="license"><span class="orcid">iD</span></a></sup>Alexander Miranda-Caballero<span class="tooltip"><a href="#aff1"><sup>I</sup></a><span class="tooltip-content">Instituto Nacional de Ciencias Agrícolas (INCA), 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:alex@inca.edu.cu">alex@inca.edu.cu</a></span></span></p>
    <p><sup><a href="https://orcid.org/0000-0001-9875-0317" rel="license"><span class="orcid">iD</span></a></sup>Guillermo S. Díaz-López<span class="tooltip"><a href="#aff2"><sup>II</sup></a><span class="tooltip-content">INCA, Unidad Científico Tecnológica de Base Los Palacios, Los Palacios, Pinar del Río, Cuba.</span></span></p>
    <p><sup><a href="https://orcid.org/0000-0002-7406-4715" rel="license"><span class="orcid">iD</span></a></sup>Michel Ruiz-Sánchez<span class="tooltip"><a href="#aff1"><sup>I</sup></a><span class="tooltip-content">Instituto Nacional de Ciencias Agrícolas (INCA), San José de las Lajas, Mayabeque, Cuba. </span></span></p>
    <p><sup><a href="https://orcid.org/0000-0002-2112-5801" rel="license"><span class="orcid">iD</span></a></sup>Calixto Domínguez-Vento<span class="tooltip"><a href="#aff3"><sup>III</sup></a><span class="tooltip-content">Instituto de Investigaciones de Ingeniería Agrícola, UCTB Pinar del Río, Cuba. </span></span></p>
    <p><sup><a href="https://orcid.org/0000-0003-1769-7927" rel="license"><span class="orcid">iD</span></a></sup>Pedro Paneque-Rondón<span class="tooltip"><a href="#aff4"><sup>IV</sup></a><span class="tooltip-content">Universidad Agraria de La Habana, Centro de Mecanización Agropecuaria, San José de las Lajas, Mayabeque, Cuba.</span></span></p>
    <br>
    <p id="aff1"><span class="aff"><sup>I</sup>Instituto Nacional de Ciencias Agrícolas (INCA), San José de las Lajas, Mayabeque, Cuba. </span></p>
    <p id="aff2"><span class="aff"><sup>II</sup>INCA, Unidad Científico Tecnológica de Base Los Palacios, Los Palacios, Pinar del Río, Cuba.</span></p>
    <p id="aff3"><span class="aff"><sup>III</sup>Instituto de Investigaciones de Ingeniería Agrícola, UCTB Pinar del Río, Cuba. </span></p>
    <p id="aff4"><span class="aff"><sup>IV</sup>Universidad Agraria de La Habana, Centro de Mecanización Agropecuaria, San José de las Lajas, Mayabeque, Cuba.</span></p>
  </div>
  <div>&nbsp;</div>
  <p id="c1"> <sup>*</sup>Author for correspondence: Alexander Miranda-Caballero, e-mail: <a href="mailto:alex@inca.edu.cu">alex@inca.edu.cu</a> </p>
  <div class="titleabstract | box">ABSTRACT</div>
  <div class="box1">
    <p>Mechanized
      transplantation of rice is being imposed worldwide and it requires 
      certain conditions to develop the process efficiently like the 
      production of seedlings in trays. In Cuba, transplanting machines with 
      the system to the filling of the trays are being acquired, so it is 
      necessary to establish a technology that allows the transplanting 
      machines to be put into operation. The objective of this research was to
      evaluate the quality of rice seedlings to be used in mechanized 
      transplantation under sowing conditions, in Pinar del Río Province, 
      Cuba, with the use of the ERP-60 transplanter. Among the main results 
      obtained in the tray seedbed technology at the time of transplantation, 
      an interaction was found between the factors under study. When the 
      component elements of the substrate were mixed and left at rest, the 
      plants found the appropriate conditions for growth, in the four-element 
      substrate (ST + MOT + FCSM + CAC), with 30 or more days of rest. This 
      made possible to achieve seedlings of 15.37 cm high and 2.19 mm thick, 
      19 days after the seed germinated, complying with the requirements for 
      transplantation with the ERP-60 machine.</p>
    <div class="titlekwd"><b> <i>Keywords</i>:</b>&nbsp; </div>
    <div class="kwd">Seedbed, Seedling, Tray, Substrate, Technology</div>
  </div>
  <div class="box2">
    <p class="history">Received: 12/10/2021; Accepted: 14/3/2022</p>
    <p><i>Alexander Miranda-Caballero,</i> Investigador y Profesor Titular. Director General Instituto Nacional de
      Ciencias Agrícolas, San José de las Lajas, Mayabeque, Cuba, e-mail: <a href="mailto:alex@inca.edu.cu">alex@inca.edu.cu</a>. </p>
    <p><i>Guillermo S. Díaz-López,</i> Investigador Agregado. Unidad Científico Tecnológica de Base Los 
      Palacios, perteneciente al Instituto Nacional de Ciencias Agrícolas, 
      carretera La Francia km1½, Los Palacios, Pinar del Río, Cuba, e-mail: <a href="mailto:gdiaz@inca.edu.cu">gdiaz@inca.edu.cu</a>.</p>
    <p><i>Michel Ruiz-Sánchez,</i> Investigador y Profesor Titular Instituto Nacional de Ciencias Agrícolas, San José de las Lajas, Mayabeque, Cuba, e-mail: <a href="mailto:mich@inca.edu.cu">mich@inca.edu.cu</a>.</p>
    <p><i>Calixto Domínguez-Vento,</i> Investigador Agregado, Instituto de Investigaciones de Ingeniería Agrícola, UCTB Pinar del Río, Cuba. e-mail: <a href="mailto:esp-iagric@dlg.pri.minag.gob.cu">esp-iagric@dlg.pri.minag.gob.cu</a>. </p>
    <p><i>Pedro Paneque-Rondón</i> <sub> <i>,</i> </sub> Investigador y Profesor Titular, Universidad Agraria de La 
      Habana, Centro de Mecanización Agropecuaria, San José de las Lajas, 
      Mayabeque, Cuba, e-mail: <a href="mailto:paneque@unah.edu.cu">paneque@unah.edu.cu</a>.</p>
    <p>The authors of this work declare no conflict of interests.</p>
    <p><b>AUTHOR CONTRIBUTIONS: Conceptualization</b>: A. Miranda. <b>Data curation</b>: A. Miranda; G. Díaz, M. Ruiz, P. Paneque. <b>Formal analysis</b>: A. Miranda; G. Díaz, M. Ruiz, P. Paneque. <b>Investigation</b>: A. Miranda; G. Díaz, M. Ruiz, P. Paneque. <b>Methodology</b>: A. Miranda, M. Ruiz, C. Domínguez. Supervision: A. Miranda; G. Díaz, C. Domínguez. <b>Roles/Writing, original draft</b>: A. Miranda; G. Díaz, P. Paneque. <b>Writing, review &amp; editing</b>: G. Díaz, C. Domínguez, P. Paneque.</p>
    <p>The
                mention of trademarks of specific equipment, instruments or materials 
                is for identification purposes, there being no promotional commitment in
                relation to them, neither by the authors nor by the publisher.</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="#id0x5032d80"><span class="menulevel1">INTRODUCTION</span></a></li>
        <li><a href="#id0x5049100"><span class="menulevel1">MATERIALS AND METHODS</span></a></li>
        <li><a href="#id0x5ae9300"><span class="menulevel2">General Methodology for the Elaboration of the Seedbeds</span></a></li>
        <li><a href="#id0x8ac6b80"><span class="menulevel2">Methodology to Determine the Composition of the Substrate</span></a></li>
        <li><a href="#id0x54b2000"><span class="menulevel2">Methodology and Standards for Seed Selection</span></a></li>
        <li><a href="#id0xcbd8280"><span class="menulevel2">Methodology to Analyze the Vigor of Plants</span></a></li>
        <li><a href="#id0xce91a80"><span class="menulevel2">Methodology to Determine the Quality of the Transplantation Process</span></a></li>
        <li><a href="#id0xd2d7300"><span class="menulevel2">Inclination of the Plants when Transplanted</span></a></li>
        <li><a href="#id0x5026480"><span class="menulevel1">Discussion</span></a></li>
        <li><a href="#id0x5026700"><span class="menulevel2">Characterization of the Research Conditions</span></a></li>
        <li><a href="#id0x502ae00"><span class="menulevel2">Quality Parameters of the Seedlings Required by the ERP-60 Transplanter for Rice Cultivation</span></a></li>
        <li><a href="#id0x502b080"><span class="menulevel3">Analysis of Seed Gemination and Seedling Evolution</span></a></li>
        <li><a href="#id0x5039800"><span class="menulevel3">Analysis of at the Time of Being Transplanted</span></a></li>
        <li><a href="#id0x503a680"><span class="menulevel3">Quality Evaluation of Mechanized Transplantation</span></a></li>
        <li><a href="#id0x54b4780"><span class="menulevel3">Analysis of the Functioning of the Transplant Organs Carried Out at the Time of Transplantation</span></a></li>
        <li><a href="#id0x5685e00"><span class="menulevel1">CONCLUSIONS</span></a></li>
        <li><a href="#id0xb229700"><span class="menulevel1">INTRODUCCIÓN</span></a></li>
        <li><a href="#id0xb31d400"><span class="menulevel1">MATERIALES Y MÉTODOS</span></a></li>
        <li><a href="#id0xbf67f80"><span class="menulevel2">Metodología general para la elaboración de los semilleros</span></a></li>
        <li><a href="#id0xcbd3780"><span class="menulevel2">Metodología para determinar la composición del sustrato</span></a></li>
        <li><a href="#id0x765480"><span class="menulevel2">Metodología y normas para la selección de la semilla</span></a></li>
        <li><a href="#id0x8b48a80"><span class="menulevel2">Metodología para analizar el vigor de las plantas</span></a></li>
        <li><a href="#id0x8b49080"><span class="menulevel2">Metodología para determinar la calidad del proceso de trasplante.</span></a></li>
        <li><a href="#id0xd245d00"><span class="menulevel1">ANÁLISIS DE LOS RESULTADOS EXPERIMENTALES</span></a></li>
        <li><a href="#id0xd245f80"><span class="menulevel2">Caracterización de las condiciones de investigación</span></a></li>
        <li><a href="#id0xd246600"><span class="menulevel2">Parámetros de calidad de las posturas exigidas por la trasplantadora ERP-60 para el cultivo del arroz</span></a></li>
        <li><a href="#id0xe1d8900"><span class="menulevel3">Análisis de la geminación de la semilla y la evolución de las plántulas</span></a></li>
        <li><a href="#id0xfffffffffffd8080"><span class="menulevel3">Análisis de en el momento de ser trasplantadas</span></a></li>
        <li><a href="#id0xfffffffffffd8f00"><span class="menulevel3">Evaluación de calidad del trasplante mecanizado</span></a></li>
        <li><a href="#id0x51aa000"><span class="menulevel3">Análisis del funcionamiento de los órganos trasplantadores realizados en el momento del trasplante</span></a></li>
        <li><a href="#id0x51abd00"><span class="menulevel3">Nichos por metro cuadrado trasplantados</span></a></li>
        <li><a href="#id0x51ac900"><span class="menulevel1">CONCLUSIONES</span></a></li>
        <li><a href="#ref"><span class="menulevel1">REFERENCES</span></a></li>
        <li><a href="#fn"><span class="menulevel1"></span></a></li>
      </ul>
    </nav>
  </div>
</header>
<div id="article-front"></div>
<div class="box2" id="article-body">
  <section>
    <article class="section"><a id="id0x5032d80"><!-- named anchor --></a>
      <h3>INTRODUCTION</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <p>Cuba
        needs to import more than 400,000 tons of rice per year, so a strong 
        investment program is carried out with the purpose of substituting 
        imports and guaranteeing, before 2030, a national production of at least
        85% of the 700,000 tons of rice the country consumes annually (<span class="tooltip"><a href="#B16">Reyes, 2019</a><span class="tooltip-content">REYES, D.: “Del arroz en barco al arroz que cultivamos”, <i>Granma</i>, única ed., La Habana, Cuba, 10 de enero de 2019, ISSN: ISSN: 0864-0424, e-ISSN: 1563-8278.</span></span>).</p>
      <p>However,
        the average yields obtained in the last 25 years do not exceed 3.75 
        t/ha and the traditional production system predominates in most areas 
        where rice is grown (<span class="tooltip"><a href="#B11">Miranda, 2020</a><span class="tooltip-content">MIRANDA, C.A.: “Impacto de la tecnología de trasplante mecanizado de arroz”, <i>Revista Cubana de Administración Pública y Empresarial</i>, 4(3): 334-349, 2020, ISSN: 2664-0856, <i>Disponible en:</i><a href="https://apye.esceg.cu/index.php/apye/article/view/143" target="xrefwindow">https://apye.esceg.cu/index.php/apye/article/view/143</a>.</span></span>),
        which requires a high degree of mechanization (specialized 
        cultivation), conditioned by the different sowing technologies that are 
        used and the land extensions that are destined for its exploitation. 
        There is a novel experience in the introduction of mechanized rice 
        transplantation technology with a self-propelled transplanter to 
        guarantee the production of seeds of new rice cultivars. This technology
        does not prevail yet, although it has a series of advantages, such as: 
        cost reduction (better weed control, mainly red rice; and reduction in 
        the amount of seed/ha). In addition, it generates better health of the 
        rice plants, due to the low sowing density, better root development, 
        which allows better absorption of nutrients and greater resistance to 
        overturning. It also increases the vigor of plant stems, as there is 
        less competition for nutrients, water and light. The technology of 
        sowing by transplantation allows the control of contaminating rice, 
        since the cultivation has a certain advantage over weedy rice, at the 
        time of transplantation, in addition to the management of the water 
        layer, which allows obtaining a culture free of contaminating rice (<span class="tooltip"><a href="#B13">Miranda <i>et al.</i>, 2019</a><span class="tooltip-content">MIRANDA, C.A.; MOREJÓN, M.Y.; PANEQUE, R.P.: “La cosecha mecanizada de arroz: experiencias y retos”, <i>Revista Ciencias Técnicas Agropecuarias</i>, 28(3): 75-87, 2019, ISSN: 1010-2760, e-ISSN: 2071-0054, <i>Disponible en:</i><a href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S2071-00542019000300009&amp;lng=es&amp;nrm=iso" target="xrefwindow">http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S2071-00542019000300009&amp;lng=es&amp;nrm=iso</a>.</span></span>; <span class="tooltip"><a href="#B11">Miranda, 2020</a><span class="tooltip-content">MIRANDA, C.A.: “Impacto de la tecnología de trasplante mecanizado de arroz”, <i>Revista Cubana de Administración Pública y Empresarial</i>, 4(3): 334-349, 2020, ISSN: 2664-0856, <i>Disponible en:</i><a href="https://apye.esceg.cu/index.php/apye/article/view/143" target="xrefwindow">https://apye.esceg.cu/index.php/apye/article/view/143</a>.</span></span>; <span class="tooltip"><a href="#B3">Domínguez <i>et al.</i>, 2021b</a><span class="tooltip-content">DOMÍNGUEZ,
        V.C.; AGUIRRE, S.C.A.; DE ARAÚJO, A.G.; DÍAZ, L.G.; RODRÍGUEZ, G.A.: 
        “Adopción de innovaciones tecnológicas para la Agricultura de 
        Conservación en el cultivo del arroz en Cuba”, <i>Revista Cubana de Administración Pública y Empresarial</i>, 5(2): e167-e167, 2021b, ISSN: 2664-0856, <i>Disponible en:</i><a href="https://apye.esceg.cu/index.php/apye/article/view/167" target="xrefwindow">https://apye.esceg.cu/index.php/apye/article/view/167</a>.</span></span>). </p>
      <p>In
        Cuba, producers associated or not in cooperative farms, outside the 
        lands of state companies, use manual transplantation as the fundamental 
        way for sowing, where the producer, supported by his family, faces this 
        great task that involves physical effort and direct exposure to the 
        polluting medium of the rice plantation (<span class="tooltip"><a href="#B7">Hernández <i>et al.</i>, 2016</a><span class="tooltip-content">HERNÁNDEZ,
        B.M.D.; DÍAZ, L.G.A.; CASTELLS, H.S.; LEÓN, S.L.E.: “Adecuación de 
        sustrato en semillero de arroz para trasplante mecanizado”, <i>Avances</i>, 18(1): 49-56, 2016, ISSN: 1562-3297, <i>Disponible en:</i><a href="http://www.ciget.pinar.cu/ojs/index.php/publicaciones/article/view/147" target="xrefwindow">http://www.ciget.pinar.cu/ojs/index.php/publicaciones/article/view/147</a>.</span></span>).
        In the world, the mechanized transplantation of rice is being imposed, 
        which requires certain requirements to develop the process efficiently 
        and among them is the production of the seedlings in trays, which 
        implies a system of equipment that grinds and sifts the soil, fill the 
        trays, fertilize, water and sow the pre-germinated seed (<span class="tooltip"><a href="#B2">Domínguez <i>et al.</i>, 2021a</a><span class="tooltip-content">DOMÍNGUEZ,
        C.; GUILHERME, A.; MIRANDA, A.; DÍAZ, G.; RODRÍGUEZ, A.: “Machinery for
        Direct Sowing of Rice in Agricultural Conditions”, <i>International Journal of Food Science and Agriculture</i>, 5(3): 471-481, 2021a, DOI: <a href="https://doi.org/10.26855/ijfsa.2021.09.018" target="xrefwindow">10.26855/ijfsa.2021.09.018</a>.</span></span>). One hectare of soil for transplantation requires 400 trays of 0.30 x 0.60 cm (<span class="tooltip"><a href="#B4">ERP-60, 2000</a><span class="tooltip-content">ERP-60: <i>Powerful diesel engine for fast and upright rice-planting. ERP-60 series rice transplanter</i>, <i>[en línea]</i> , ERP-60, 2000, <i>Disponible en:</i><a href="https://www.daedong.co.kr/eng/product/transplanter/ERPseries.do?series_id=2000_ERP" target="xrefwindow">https://www.daedong.co.kr/eng/product/transplanter/ERPseries.do?series_id=2000_ERP</a>.</span></span>).</p>
    </article>
    <article class="section"><a id="id0x5049100"><!-- named anchor --></a>
      <h3>MATERIALS AND METHODS</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <p>The
        experimental investigations were carried out in the experimental areas 
        of Los Palacios Base Scientific and Technological Unit in Pinar del Río 
        Province and had the objective of evaluating the quality of rice 
        planting by mechanized transplantation with the use of the DAEDONG 
        ERP-60 transplanter model. <span class="tooltip"><a href="#f1">Figure 1</a></span> and <span class="tooltip"><a href="#t1">Table 1</a></span> show some of its technical characteristics (<span class="tooltip"><a href="#B12">Miranda <i>et al.</i>, 2021</a><span class="tooltip-content">MIRANDA,
        C.A.; DOMINGUEZ, V.C.; RUIZ, S.C.M.; DIAZ, L.G.S.; PANEQUE, R.P.: 
        “Analysis of the Use of Shift Time of the ERP-60 Rice 
        Transplanter/Análisis de la utilización del tiempo de turno de la 
        trasplantadora de arroz ERP-60.”, <i>Revista Ciencias Técnicas Agropecuarias</i>, 30(3): 42-50, 2021, ISSN: 1010-2760, e-ISSN: 2071-0054.</span></span>; <span class="tooltip"><a href="#B4">ERP-60, 2000</a><span class="tooltip-content">ERP-60: <i>Powerful diesel engine for fast and upright rice-planting. ERP-60 series rice transplanter</i>, <i>[en línea]</i> , ERP-60, 2000, <i>Disponible en:</i><a href="https://www.daedong.co.kr/eng/product/transplanter/ERPseries.do?series_id=2000_ERP" target="xrefwindow">https://www.daedong.co.kr/eng/product/transplanter/ERPseries.do?series_id=2000_ERP</a>.</span></span>).</p>
      <div id="f1" class="fig">
        <div class="zoom">
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DnK8wx3k%20GGDI8tg2gZIQfy4R73jFMU1ykAMd09ScZDEKNoLREB1HkEApjhC9kPkjvFzUZ371EgVWqDf/HeEA%20RiyqYYUCD2weNYxpnTYaySL8gQqJOII70OGOcngWaODA4BsU0AE2aGHGl2AtC9jg4Q54mNJk6IAY%206lCHJ5j4CVq4RAcocdokJIESpj61HkxNCUpIgBLsfOdulaCEQvj2DlI1hzl4wAN0kKMgDEWiGHsG%20qe+ihHYFSd8Zlm1LL7iDB0i2MjDdiudywOMBpQgHPtXnVqHVxViCFSQmXiEOew4OvW9zARF7SaeR%20WvUPK1YAqiWAATpIFdpDfvAbBpCNFqQBDGAwxL/BgAwwtKAFAWgBDAIAAwdk4N9pOAEb2MBaMUi6%20Bz2IQVFbG2KjrnbEpjVtp7WQakqMWsYY/0CAAYDsDczO8axOPuZ8uW0HPKAAERLgQG3HwAUe6HrQ%20syvYcs9Rjga806/pDZm3rVc8TICAhudGr6HPQcQi1oW6/kjiAeQQ71FLQA8PKIQQXHkEG3AhEcHQ%20QjYGHoC2VyIblUiDIQAOcEPAAQ4woATE05CGSvhd4TAI/CQGP4kv3CAGLBCxh1c8YhgroNSp1kOr%209ZAARJwBvS5H8KmcTBeCEo8d80BuOs6ACEafYNNbkLGOZ+nUHzeABw2oxQyCgYE78ODIm80qMLGr%205AKWBAQiPUcFyzxAg3Suo+cSfjqsyvU+kOHxp6YEBqbP6AFs4QRt74f2M9CCOBz84M4whP/4DdFv%20Z/QjDjDIBtxhEHdkICMN7ue7/Off92yw3wEneAT2A/AIGPM00zwlBh0wAAlweS03Xm3zSAITUNhx%20TOZDQQeQCAMgAQMAA5wWfRyQAHrQTu+UW13ABEwwBmPgaqBwbxC2ZWbFP2Dle/6QA5iAXl+RbP6Q%20XIxkWfPDYM/wBJfwBAqAVKY2Y1vQdgHgAG2nftoXfr7gDObXDwenfd+nhC3gDP7WApXQD2ngb2DQ%20d37Hfn5XCenXAgUnfmAAB4bQdnQnf1RYCSdwAlswAAOABwfQcthFRzDHE4exHcb2D19zAPaQCLiV%20AK/WTpKXYiy2YoMXaUhFBj2gBa6GAZH/gABdwFSz1EpeEFX5NmSE5mu+Rk3eEAU5kA7lEDSYtTbi%20UxBmlQ4uMw7wYFxFUAYQAAEk8IokMIuEQAKE4AuEIIUZEAcZ0Iu+sItx8AnB6AqfUIxxoH7ZkAHO%20wH1S2AJMyITglwZKaH7c930Hp34tAAGWYAkXsACAsABU8AfiSAVyQAVlIAdVoATxcADfYCduxQ7q%20Q0OOUS3I9FEidI93cTwANY9QlhvHtHRWdQRe8AZC8AYIYJAmN2Kepoh10AOXMAlIhXEngGobCE+/%20MAA450641QVK4AQ/4AY28GPwcF5YVk+diFigl3mkKD7UoyAEoQHCAAsegAbJQAMVMIsQ/wAIDwAJ%20BtCTBlAKGBAAGfCLcPCLrrAFnwABcbCU06iMSuiU09iM/TaV6pdwLVCN3+cK1xgHaYACVWAAyzYD%20xkVVYzmW+EYOlfWOXpY8sVJYfNFLv/M+1pQuH2RM+vMaeShCAGRPaJlVDUAHXfB1rRZpm1YHYqAF%20HSYGApgEwUAHb/B1l2BxIsZaqXZyozZ9KvcGTEUHAKAIZKlKUhVVQIYOAgRsJXEOjZACWXALa6AC%20zWALawAFolABobAIpBACnpACUXAEdnAA0EAAEIAIOzAEjECWcIYD+YAHRbAHRZAI1oAFfxAEQSAH%20ZVAGy7AMsEgIGWCLOPmKp/CKsPidtP8ICAkwB8iVOSCDQWlDQ+4lRS7zjqd5DozDj/VYGGR1FyGR%20n1RBFPADG8d0PL3DRYZGOOjAA3SAALSnACamkCsWA1oAA2LgClqAAKt0AY/AaRh6Axj6YiS3agOQ%20BFuwBRywBXqABjuQCOH4Bw+QB+/0AFSgCD9wROmgOf+wNuEQSivgA5yABTLgAz6ABosQCgSQBYuQ%20DDIwC0HwB4ngigTQAEV2AJsFpaJ1AMgVpQcgZFf6mWfAixDgChAwAGfQk5DQBZHAThSYABj5AGB5%20PudzF5qTebvDOe4In2kzPm1JRQU0L39DTKuRh1/jUXSiOQZjRy6QdQfAA+0QAXdwBHj/IAR4UAqI%20sAW6dQEEwAQ8wAjUQAW19XV6MKIk+qnEEKIkKlsDQAmlegG6xQGIYH0kZ2qU9wAu5BgFYQe4UAwq%204AH5wG3gcA9zMAr8AAJWEAKk0ECkQAM+QAQkUAU4kDuFilEvhTuGE3RXB484IAACEAUHgAMCJEJJ%20JEDGdT7jYAe6gAO6oAHmmgMgAAJRMAtRsAf1UA9bBTL6hEns9UB2WT8l5DeBMRz/+Kd19BVc1W7e%20YA7v8A6f6WMPMACudAFE4AU2sAOg8FR0MLETW5A+iQAIsGESoACv1qmpRwQPsACnoAduuAWPoAUk%20mgB/YFwj0Tt2AgKiIAW24AGj8j6I/4ZZLqAP6qABDFABZYAGaCAAobAEqEAPnqU2vYNPXARGFpR1%20tIMHoSAAe3BVswOKWIZVeyRA9gALi/ACoRAKJnIkX4siXxsKQAAPblU9MjWHb1Of+DkY+okXcSs+%203WVFpJGX+Ug7hCNR7QiPAUsQKAEOByAIQUAOg4YOy3oP4nA+oFdEGHRuVgaKdnC4V/oOOKAD1CAA%20WOAO6RABDYADZ+AGieAESrABuANsa0NEdhAFL1ADvAIMiVY7/1MQjeAP6OAJQCAAmwAFrSkKi4AF%208JB1AzNApAmw95kOG7AINIADgxOKeCFA5iMD/HJSOHIjmVAMK+Ar07AnqZMCLjc7Vf97aPK6F7v0%20FeUbPHIZEve5FwRDVjTaEnSLPfdKbGdxTHkbdeTAty6QtstEo/YUBFhguElWDgbhVsv0uEoEvpqY%20e5lIA9TQAJxrVUMGwcblDd9AR+USbOugCSpQA6IQAhpgB+gFQ3WSaE4bBEFrCbFpCyoAm4sQBOpQ%20DvA4Qy/kSMNbBECABvCwWZfjjsKbDrOAItPALyo1DWqwAkd8NdtrArGQCRowD5ilwLVDYTHlSPFb%20F/bESNLVF1MhDlZsEFtMtwPSOHdbNjExh3iBOA0lNC4XPOkgAyBAO0fUCOLACsykQU00EHZZbl9z%20DtJpaCVRD37rrACVLPAAArFgBrf/kCKCcA/oSTBaGwSzkAxDEAIekAwMcAqLkDUegAVFgAcbsAF+%20QA/jUA4JQjtqQw4/cAoCgAfucGQHQA6xfLibtXzZiyNqYL0oUgzFkMRXY5tTkAMuRKVjaVVlacxl%20WZZS9WNHcABH8Eq85g4Ndks+5mNSdc23dABeQFXV3MwNRpbe7MxAlqVRSg4kXKecU4N5ikzUsVYu%20gcb5CEwJ+DXiI8noMIN1cg8gEA7MJHzgu1w2jMEJCABBwC11wrhetlHrQz3j4AkqcAuuaQukwAn3%20sFV45ANUqq0ShVy9KQgvkAVZQABogAPw4Ad+oA66gAmzwAmzAAIhFQRlgAg24A7w//BgVIUDDWAP%20EYADNoADSDAIo7QLorALRF3Uu7DI/EIKpJAFJgANZbADzyAH0ECOf7ADcnDVf6AIv6UIfxDVf1AG%20VAANBQANV02dCZAAXaAKSkAFRFAGKECdgHBzckADBXCOctDWcgAAO2AAD5AAcrADVn3VZWANZTDV%20z/AHZF0A06kInkswJjlFhRw7QWQZZgwTNkwS/pp1tyPP1EMQ5dDSa6M29FAO+oAP4XDa4RABpx0B%20xtUOB+Da4wClz1WSB1AOQxAL6uCvS+PFdxqDBDwHHoALL7ALt7IN0wALnLAO6pADWWClRBdd7FAO%20+aCaUiAKzwAPbcVR6SDCe5QIZ/+NCFMNDTeHTmXg16eABmUwpNMQCruwAiB9NfDtK9RLCj5AAARw%20CogAngkgi8vwALP4Cew0i7PYBbBIAlTwANhgCRBgANoIBxAgAYAwlL4AATOArG2AAmcAi9hQCgBA%20AwlAAg/wBx9OAr5wCkJQBgBQBgJwBAsgB995Bl0Qi5YACYhABZeXdegLuOxsNJTTPJgNz75GOAPU%202cgCArzwXKF9DvpADyUwDk3+XKV8AOYg5VRuDvBw5Vh+5bAgA+MANFMmU/ZINTDlD+qgCSFAC6MA%20DC+wDdsgDbEQAiswCHvEvBY8UmB0DupgApuwCZ5wXPEaU86UCMtwCiRgCXLwByT/gA1/AAkJDgll%20AAVDGrWhkAmhoAbgMr1CfMShQApAUAFrgA0PgALY0AbLUAq+gA2nYADLgA0lPgDnTQIVIAQPQACW%20gAhHAIuWUAgGkAG3eFtbUApxQAiJMAM4OQOQMIsc4A6qkAgkIAdCkACfEOMLbgMFoAQE0AUzIAeQ%20UAFK0ACnQABt8AekhwIu5FnIsiF8yhl56D9CsTT3KFblYmYZJA4gIAyvsA9EZ2XmUA6coznKhcpI%20m0nOirS9owH2YGj/cEdlxVH1tZ9zkWiItg4yIANWAg7qwAsvIA3F0A23oDY54AEpoAH74AIl4A3T%20NEPqEAvGMALrAENICw7oAA7f/4AO1oAIKJAIAkACeJAAbZABR/AJ2AABZ/DtFUCkII1S8I30voJS%20K0AKyUAA0KCdZwD0cMBOtygBuw4HhCAE+F0KQX8ECYANJACWs3gKDQANQykBGQ4JkFDiZ1AFFeAL%20n3AEZWCL1nAGcoAI2ED2ZwANbXAKzwQNgCD0fyAHgx6BEEAAJHAEZ4AGRVDuw5bGZdzjH/QY+XW0%207k6HLgAOnIAKLqABr+AHVhYPgDw/uIMumbQ2NLT6a1ME6yAScsltg9WWhzIPoSg+KcAJIaAhyuIH%20I7ANmaBQ+HAMxTAFvPwCHuADMsALmiADsTACoaALMESv6IIOgv4AjE8AAiAEEP8Q9BmODYCABwJQ%20AVeQOiqVvSd19HtyNStAA2iwBn+ACLFYCrAIAQjwCdtZCg9ACIQAEBzOnDKwrA2KgSR8nakShwSi%20I59IZDCwJ8EZFNhQHDil8M8ZCCQInEnUEUK9LhCOQPCV7ACiU5Ye1ENxSuOBPyQsbYRUAIc3dOfA%20+SNalKg3f/+ULmXa1OlTqFGlTn1KdKjSpFLF+du61dtXsEi5iiO71ai/dF/LGQE2T9y6HDnQoUvn%20jx07u0Tx7s2LV29RdubiRfB27tzddOyQnvMmTuzWf0bdinMB7uucECA8rQOhidOsZlJG+POGqVmW%20UCvWmJKyRsBqKGsqeDpAOp3/YbxfzyVCAe3IAWsVEBmAkGGAgVMQlhEYYWJFpkzP1UDPUj0Ts2KZ%20pnlgQACQAQ6EHpSK4yCBgQDpDejJ4KtUqQSlIGBDQB7CgDMJ4nwycMZhnCP+gOSMDEgYMI5T4jgD%20EgjiSOAIRBR6sAxo/DMQpDgyOGMGEuLA5owz0FAIkgbKUGQuuvyZx6jIvjorK6zOompGGmtcisXI%20puqKK9JIC4vHssyySrG0vDEihXPm+QqAIsixwxu/XgTsLyr9IScHP74Zqq7EXBSyqMj6okyccdIB%20Jx0QZJDhhRFEMWGXbWoYwTINRFnDFigEeEYHRRTBQhEAsNjDm9qQEueco9DC/wOFP45I5wBoSBjv%20k1NKQS6ULAgwIbsVRoDu009xyWQXZnwQgIH8EJAIAQnigKAUBSBwYAsEHMiAoAFKkaBBAwY45RNL%20ITjlwQjjwGKGMs4ohQQIlN0PomU+eRWkWw2wBpAzIm2WvDjQOEI+YY9QwqFTZsCDBhzoSufLpMB6%20kal3bZR33qasygpGqAwbCq107HjUX3YS6yudGO29SwZB7vIHnByiSIsvoso6xzF/EPUmxrL8MUKO%20eCae5667JHYx4innmceFrQ5ISx8ZUlihmBeysMWYTUa4K4pNoLAEAgSEEIKONwwQ+g2i6fDiAHLm%20SnppHaj4IwJ3DjigVQwGcP/AFQMeIMQSAQiooIJMi8niaxIq8HoRswmgAQJLDEBAAQwccKDWLQJA%20QIurk1DghABOQIADDDrg4BMETnAABgMUkBuDGfTgwAEDMNDDC0Qg4MCAurPpOQ1XAlA2AAfiEGIA%20Pc4YIA49hEggAwckmOHxEyKZQYsWtuCggT/kaICufcH0UcobZaR3eHlxxPcpww71Jp10jnC+gXoO%20ANkocMBBFFHAPEkBL3/XGaccdj7Oi0cpVRSrKHEKqKIcsla0I2SyzkmnHJL1umueVYTRoIR00PEG%20nFbEohgrmEYmzLAJY2ThfRrIAgD+IAEJDKALCFgAJfSQBD38AhES6MIMGtD/jnY0IALwCKES/uQF%20d6QQcwPAwCdcMYABYMMSF6iAJQhgCUtUYARfw2EOQwE2AhCBBNhIgBYCoACrDeATs3KFFrLxCFc8%204nCP0EMAtNABSjiAEluohCuIoQcHGC4Su3LAACSQgS68QQIB0EPnXMGBUvDNFQ7Ihdw4QIkB8MwA%20rojDAzAQAA4E4A0IyIAWOIAADGRDbgZIxAX2cACkrIh87qofUQoGJuJlckb2woqOXGCXfp1BAg+Q%20ANxyYQA6HMELDWDlKt3Byqg1wA52eMYfpEaOA/iPfsxjHl3QQY7EBBNkAQuY+PyBB3hwxQUoE8dk%20likkxSgPKeygzCpCEAV0/xxgdyUigAAEYImcbaICy8sBDnoRiQ6I4RK5QMAl2MACePZBnn2IgQLs%20qYBc2BMDlHhCB9j5zz7cQKBiqMMJJuGASzgAdHJ7xEJBlx6FKvQSAWhBH1rQAi1gIAms68CsapcN%20LaShDg7QAgzSowcMPAIM5ZFiC+SGN9uVsQUn+MUbusABMLRAinxzAAe2oAXWsTEbLSDBKYQgAVv1%20dFYBeAQHMrAFuZ0iAEk4BQcs8SCV1aV8wAuTJTX51akYz5N2scMBEoEI0j3CdnrQwwO6EIlIQKIL%20XRhDF5SQiLviYQ/JKAMejoCHImzAH+EIxwHKKjXEnomXi02MwpLSP3CQ5f+Zki0L8/CyFUTtpRH6%20cME+lnCERPxBCWegQtmIIAAo5CwLX/kJHyTQzyfgkxI9gCcLbjDPdFrwgklIAj+TcIne8laeMaAn%20PZ9wCUpQorfJZW4SYtuBDiw3uViMQT07kNG7BWCPJ8ioFk5wAnv2rQN/Q0AHlogAKz4CAZTAKAbe%200LcTGOANv6CDBBRpgFnNDQFgGEAActFfJ6pRAkKoogTeILfWgUduW6CDHS8gBEDYcn7oSxS+jic8%20sGYYXgu7V1gXxo4DuOMBCZAAMR5xCRSfOAlauMRxyRBQFLd4C49oAxzAQAidKOEANhAABCAQgFPY%20kQMJgCFaISiB95SiPgb/KAUkvuECcnyFHPJ4B5VT6L+J2cUwhbHLOPzhAqHsABIPoMQVMWi7DLQB%20GyQgAQ8a4EFHJIEN1SVDLp7AgnfOOQa1ZQEZntCHOlyiBzdgAW37MOhC92ASgxaBCPZM2xj0YJ59%20YAE9ifsEMWD6CcSNNAuuWGYMRMIBejBAecbLVBggYAvcRQApEdDfULtiCwoY3Se2kDUIbAE/kUij%20K7IRCfxuIQFCeEAAzCiEALgCa0I4BSTAo13ifGIAQjBABvRwgRlUG4YGmAEgdOyi82Gyq/USt4Y1%20LFapEKURaDlAHhCRXBUrF8W/RTEZyHCJPlyiDrxNwo17egEI6BgPPS5O/wYKdHA2E8IXC1+4wgnx%20cBIQAswlKIc53CEPefDgHa+cSznAcZfrUYmz3kgEEQYQXQUoF4+O+8UvLlAImLsBAZi+gRgUcO8v%20WCDnAmXBF74wiTrIEwZpqAQMRMACEQj06IdudA9oe/R4siDSMbhBdRU9iRg8wc+YFkMP9kwG3ipA%20AuuBAAb+6ACzMzWjJE3AGz6BgVJIq7wvRAAC4qDrGSTghRhQnRBKkQ0IGACpHJDdQuseB1cMuwvD%20KUUZRVkeRJjOQQ84wgPuLoEjdEEO6foKu6iHo64ez9xf5WSOpJIWojAmAg24wwzowIU3FAIPicia%20GTtg7z3foA4EVYDB+//ABjy+4QjE0YMW+iCGOT/hCQId6PHFoPs61OERdQA6Od7hbLc5AgGDtCcC%20DHAEKFHTMIyxS1myCQgJyNPeffhzHWCrgCdoQW9PqAMMKpEGigYA/zBoQRrAgIw06L8MUDiSoqhs%20qIRKaIH7S8BKOBwYgIFseMAIREAEbIH8Sw/WCZ0lCiMHkCIYOIEkqLux0wMIEAKoAq+OcgW4MbYB%20eIMEWK8mQo8t2AIhiAQr6hlASp1IQAREMjYDsDUHCJoAmMFemZUHoINTiIRCyKNIoANZCYBSoIML%20gCpUyoA3QoAZWIATWR7sMQrFwAutehHIGL1zwyTRawrUqx7GSCEeWCX/HkCsIziDqtECBaC6SfgC%206Ou3AKC6JBCIBjAAEhgALbgBPPyCOjBE5ktEeVI+9kMxczAHIrC1CyIGYriEK9KCBJCDRAC5LYOS%20iBGHbIKEAQgo3CODGCADexKDFTMcirq/fgADWASDNEgDQ4DFWVRAW4HF9JjFWQTANECGfphFWeTF%20X0SGSvBFXoQDQ0iPGyMEgzOE8gAD1iGD70oCNXKbQMKcGcwF7xKDqpkVJRuAV2uBB0Av23mDDjiB%20tvsjDhgAOlgADHi1OKg7K4IAOugo8MKvT/iESDiDBysFDoCAQbq7bHiDMXAGTKQDA2iBIZuBM6CB%20DcCyKPHCfQk90CND/9LjsE6SCpAJEvkBirngpbJqABtIhDGogirogjyYK7rysQcYsgs4ggYoBAFA%20BJscgARIgF8gAj34Irb6yZ4ESj2QAI0jggtwnBlMgp8aAKg6hV9ADNKYmMYYCnRwB3QAgAIYHK2U%20lqUKAEPIAFkMAIN7OIjzsZAoDrSMgwDQiYjzhYkIgKHKhgzIBrhMD1/IkDiIg6G6qBYoj+QQiSwY%20hBEYm+coBiCggZ05uScYQrghNcXRG5J6grjRgozqG/VCqVyoIgPwri0wuw5UAFVTqw4wgEeIHLkZ%20HaaKxyH0mz+aMTroAgNDqk+gA6vRg2mrokcYAD5YgDgYgGA4gwcYgP/dWSZ2sAPyGZOPqxiyQB8X%200KoVORQfoSRxwMh0M8Op8IuM8RHmAablAYpHeSVWagAvWKWjQYQ/yLYZ8gJkgYQZcEjXe0+iic+g%20cZu6q7tciIRg4AFQIILxMDsMgBuzU6IEeIA5gAc7sIxzKIcSsB5w8J8f8KYMQMsCcUZnBJ0WAMsW%20IAQwcABLOQOhYTImS7IuGIAH2CCb3CAJcAVnqMUVNQRnMDi5gQBpfNG+NDi13Jqv0aHqQI1ioAXE%20ZB2+WSiVkgBVkxsYOJy+cYA6CIAjnTFAYpUONKIZC6Of+imSuiBjexsHSAKr0YJHSEcrosMFS4IH%200KO6Uc3HObxAegP/IejAyxmIRDiAb9CHunCL6qGMfVmXL1lOalIRRLGMChtD6qwKjTS9qJBOIDmL%20ZlpOSeKlYZKBWUAHczgAeGgEOwCBFSGS7jyfgOElsUAKcDiAOTCHKMCCbBKhqHklG5DJR6wHjwML%20oTCMcQgHeNgAU8GUFQgFAhgbUSgbFEgAs4QAARiEH1CZWSrO4rQKdygrfyGKfimrnIAANPiDMkgG%20EFlVRSAAAkgGAoCAUGCzHM2CHBoBT8kCAtqFK4AFBriq/1SAJAjQT+gADMiFJJgVuOnADpAAw5G/%20QAqAYMAACaibDlxMuMQbl3oEvAGDAPjPeg2qunGpvkmPIWyoOLic/0joryGcKQ6cKkA6gRYYAMAJ%20gAQoBHlwB5nUJrrwGL1wDMZwF3AoB+yBzt+5GK8aVKdAt0P1krGgMGoKEi+0H7vwBBAoklmaB3D4%20mLTopf4ZJmJqLIVhB3AYB6BQGaskhxQST6SRVHKwi6+wnkMRiq9AGnewgT0IAgHIginI0QooqmUw%20CZEgAAZwmGkyiqRFEbDoJXeIVltyHmZFh+CwBBFZW7UdGxIAleoQBVEohmq4AkuIoC3I1w5gIbEb%20AH1SAHm9J7jJ3PqULwPIJwA1JbMDUP9sV0SiBFOyIAC9hC0w3YCdlXhUgCoKI++ywFFzKrj0KbGE%20AEQYTyFIBDyYgf8nKQE+5YrCGBlnXZjI8odyQAoXiYzptNmbLdQzZIooA4vLkhizED+p9IquKAsr%20eIVvOAd9iIx6SL3xMwzmSVQhyTKyqJ7ifB9vWCYXoIcwQBnxHTndKF4emYd/8IZyWN5voIdVwARa%20UIZbAJtQmAIaAAQGEFYCSOBQ2B6TkQy8eM7JOhRywAJvKgJPbASjHYVpWAETEBVRyARzfY4sgA5y%20HZVbEIURmIYXqAZtZbOJYIm7zJCxzEtndICQyAC1NDjQ4YAhA9nHYR2DvRq86cAkiK4y0oKTi9zI%20RSI8ylz/9D46mAEhKARLiUdEqju3qeL66AC4gSsFmDFKEIJHaQz/F8gNKRsZQJ0Y6GRe0ggT6I1e%20r5repfgR9IkfIVlOzOqRmBUHYHiFLfMydggHy/hailmYielCrkjeTyzOLqGMMAiDEnCBS5aswrgN%20/R2KV10echDe8C0BVBCgLBAANECDMmBgEkCNFTDXFOCKPhVD+V2mb/gGLGCAZICH/4mYe+CEW1gB%20UjCBFyigFR6VLEDcXZCGXfCUFbgFD4AF2Ug4Gp6IAZwIhYs4ZhlAZzS4lYIAZywqDEgAElip0PlK%20k2oBaRRLZrxQijI4il3nODCECgUyCLiABQAEhcqQAFiiH5sVMTAcyg3QoZQbC3qAXGqMTP2Kb7De%20HqkeDuuR5q3Z/zqOkasw1HwhP6NgDMaIMmAaPzkuCo4WZFSAYxXxh3FQw6EIkrDozqRlnq9Y2rJi%20h+VtB3coAYpjXpg2jP+1DKXoU3GAWW8gB3J4RKKOAB3oDgYogzJIAAEggdSYgikoICSQY6RIByWB%20H8X4iqvUXRzAaq6YB0HIhFAghdSYBrRG62RW5l3YhUwYoGkYAVyohhcohlCABjRggAsAhFNA5WRI%20jh5D5bOUAx87BUAwy8ohAGahAiIQImHhAIXwMYNjFlshBBnFYYNbIkLIkFPw4czGMZG4AJfrkAwA%20nQmVbBwjBAdoOIObxUqIXAPYHZbW4+jEBBnghIrpkR6paDvuMP+p2LIpYYyGjjL/Kd7FqIvruR5h%20KGlxsJ55mFXL0Nn2demW7p8iMRNm/YpwWFC1KAcu2TKQPmmRBodvIGp5IGpzSJo7UAIBAIQFIAII%200NYEXoEpoG8NSNrl0arrPQqrrQI0QATDWphRkIFXnoZFyIJFiA5zzYJpwJQsUIMVUANOiQ5c2JQs%20AAKmbmwiKAMUQIFlAIQy+HBAGPEQBwQiGHFASIBhyckLaOwy+AU5qCoOeIBP2EpAEGIJCLKe+oQh%20VEsIkACnapAGmQhpccsKgIAySA5n9IXQgTixBO3OlsYMMAT+q4QnGIBI+I2JQZmWLgpyKIcUqAZS%20gAUNSBSx4G3/crtoPFaK5UxO5K4Y8HbkKOGStHAHGcACsNiS5d1UkhGSccOK9fUDmC0HdQDJmHaR%205eXomB4Ko7Uew/iG/4X0cwhfdCgHcsABANiDDRgCATBhmDmGYlBcnP5fOBYHvBiFddgDLEgBIygA%20DoeGMvCBWIgFZnDraaiOFXgOUDHhFE5mt25mEy7hZw4Fb1qEYjf2agCCamCARchrATiFU2AAIBgC%20VS4DGigDNCiAAjjMJeh2IkCDZFDlVD5xNDgFNAAENDDKUyjxFE9xF29sFEADOUiAeAcEGtjwMoAJ%20aP/VZ78AfycBb2pvbADtgP0EBdACMYhtLUGZu1iesQBFI6gG/w9wjlg28zUfVJyFikOZTqMojPNl%200OqpC78Aw5g2AiQAVLXg5SLxErNgF6OVJBWxnnLQh3NQh3YgFHg4gHFoh3KAh++Z+QX9BtQLE7cY%20v0QvXsYoh1yKSHRQhCt4gVx/mWI4BmmghXJo6K0Aszkg8GmYArSdgivY8FMIhWI+BmZ4gWPIhBJG%20XANWBrdvYVGwBVFQBlFw604x4Vu4hRdYhFBg9oCX9kVYhCvw+2+CAmy4goAHgrxGAxooABp4/CUo%20gCXAcBcHhGWQg2otg/ZGgwtAgQtIAL4u7DIg929PZWiH9lRmfAYGfcvPyQQggl/NcHpPgA9vx3gd%20gDrQggeYAf/2QZmFQW6yWIUCYIAloIUXeAFe2Bc5RvMNU3Mdcd+QRwvFiBhmypiuWOmt1oRZqF51%208R+PbllDqaSiONogSQd4AAd6iCx2wAQQ4IRXAAFMwIRVGAd9aAV8sAxA3ejC0BKPB4hzAgWWINeO%203DdU1UwUm7ZixbRiKwaBAJdunj9x/q5lcphlxZUVBMqUWRYq0wpmzDLt2qXi1q1dymTeUmbrpihR%20tl7eGjFoxJo1I5aYECCAAZpFSRcxAMLABAMBQCBYwkZCwCkBFxhwpYGmABAaNArQuNIUiI8lNIb4%20GDL2LQ0gaGhAEGCJxCkUJMt4BeLXr1o0ap16RSOXCJrEgND/JDMMpEAyIkQAoUjQ4ssABA3QCZzH%20Lh3ochFoNWVwpZomcOD8+fPGmvW/2LJn065t+3bt1/5i78b975zuz3ZAgxZn/Dhy47D/efMWghM5%20c83THYBXjpy3b9+8pfPHTqNG3eDmJRcHzk4JTBpWhcME4tUofatArBLnDV+rcc29YWQNTqB24Hgz%200EDflEPPOPJ8gwkmS0wxyEMoFZOFCXb4g9E8IHTETBbThLKCRGWgYFKHLO1yiygjrCBKM8oo06KL%20N93UTDMq7KTCGrZkUY1Ti5h1ilKhJLMIENVU0xRWJGBjiQCLQYCGAGgg5RQDfNGwhFNqYRmWD3F1%20uYNYApSB/8ZdlkBQBhFioaXmlXIBseVfSEmJxmKNoeFDMgz44NQpgEBAAhgwaDHAEZxpxI4/dqCD%20SSxZAvECLOP8s5prrFXqG6aZ3uZfb71hakc55aDjzhEznHHGDEccsGpzrbW2H2iIsvOcf/PMA04j%205GWkm3fseOard7tlhJF56dgBTgqYpDCLIBrMwiAnwniSAgjqvNrqa82Rsy23CH2joDzytOPOO+/k%204I45OdAySDESjZBFJjLY8d08uOwyTSZZhAJvMQQ8gwiJ08Akyi0qZJIJTDRyUwONNNpijDHNbLMJ%20hFdcMQQAQVCxQwEdByHHDiGHXAA1BUiWDAmE4JXABWVcgP/YAi/T8DIES3C1xFFNxUXNWdQQsQQR%20NKtMCCCAXIBGmj4IZuVcfAHBV2I0oJCmVzREhpaWarlMggNpnKAFAke445qA3lDBwAVbZQxAq/9Y%20yqumccetG2+atkadDoggIgEiAyDSBR5HpGMRaNy5Bpp34GjCSXfe2dqIceR9Jyuvr62mGngufKaO%20BuPVo4sGc9yjzz6vLKtOd+OU441qru2HEDnooPONtwrK0o4s5rxjzg+yGBgBLxJVAOIIJtTTiD+j%204LJCRyt+lEkxclQWiiUw7TSCKAjXwM0223DffffGbCO+FCoUM8UUL+ywBxY6MKHDDgAAoAgAf2AB%20ACOqwO//xAJVJABBBk6BiCpQgYBUoAITCigHKpRhB9QAEzVoIIexdMwIBQCTEWiwADolgBAehABl%20ZCYWGvBlTFArABqoIZfEpEkOSEMBCWkAixmWDE0QOEEAWqAFCZyBB+QQUDqKUAYB1OUCRtDBN9AB%20jknx6lJyeyJuOFU333jGH7HzQjD0QIkb3KAPN6jDExSAgDGO0QBmPKMQzPgJCRyhjUfwBjqGY4dV%200REddLzjquxoR3ccoAEN8EYJWvEKepSDHfUowrz8U4/GuWpAh2sOOshBLtnNjhzl0I47IuCOTZoD%20FA3gwSfdMIUKEKACprRFFNiBjjkwpBgoyUIWiiGN6D0g/wEEWMNLcCQKFTCsBlL4pRS2AczuBXMb%20ptCGNtglgPspAQBOYAQTUKG/HTCBmqqIhio6Qc08FAIC3vxFHqIBAFVUkwkAoIISqqAEBKpCCUQ4%20pxKoWQAlqGIMqiDnDvKwAEhwAIAQSEAwqLCAHRgBAPErgBF2sAQIkoUaAhghNZbgMyKUgRoRtSgN%20fJaAXwSgazAQg2bIcQ5vgABtv+AoA3RgDuyUQ1i80ggUY5qb10wRN4jyx6i8gAg9PAEGMODiEy5B%20DD0QtahGHcAAlnGKNvgCAqGAwCJwkI4ohIJOp1hGYqImma1KhiQFAJkifnCEdpzjGyU4hz5wMItZ%20LJKJiP87ln+A+Dp0vMMdsevWttrhR1C64wfm4AFg78CAQVjClBWwxCLmQBxaSGMEu8DlLWZZgAcg%20whJQMEMzoGCMTWwCmNrIySAIdos1iKJ72rBFNaLACzOsoQBRqAIAqsAEJjACfwCAnznvyQRs5iEP%20Y0DALyBABd9mUxWM2EEn8sAE2YZzDMo9YBVUoYgERmMH/DtuJ7pQCgR8AoBEoEIh2BmN44ICuXkA%20QHXHacEdLIAaAKAGFhYgB33ugBdGMAI1FlCGBSCAAwGohA4HgAcehAMYRlBEAahAiQtQgwfuQAfr%20/LFEt8FNpham8GpqehsXuOAc7HAHHhCxAAkQ4xFJSML/JcSghSckoQ99YAELRCCCGHfxCyeAQwbS%20kIYMZAAH6KhCBpzhDDCAARlEJrIhwOAMQzAZDIZwhi/gQAISKIEcJXCBdr4BjnGswx7jaM1Iz9HS%20C42nV+w4czrO8R9wRCdY6SgXD8xxAHbMixFjiEQkuhBcEgSAxxkgQQbo4IVa8IAIUIDCJhCNhj/8%20oQvhtUQboICNSFN6ExX4wQHaAY8I4CAerSgCATZhCUvsQAl/GDUVxlCIBThXudFYgBISqAh0UkEH%206NzBD3YwBj1LYAzOveY1gaFN5zqBCk5QghtU4QTZGnsBCQxnszsBXgX41wGIyIM2+VfOanJhAYWo%20Qh4M/0AFAyygC3/AMxW6rQPYFnu2CCz1GwLwiBZkQwxkMAARVHEAJyAiGAvgQBm4AGEJK2c/lfLU%20haFIN7dhisPiSIc3GvAGA+QiGArIhQIyrgAwXiIGPSCDCHogYxGIQcVgaAGKH7EFHLgDEp/Qwhe0%20UIcTwCAAcQhAAE5wAgfAwBUO+LkDuouIBrjjG/Sgh4HKcQ79xHWkrmHHam7aK9aoWcxtRtSb39GO%20O9gBB3QGgJku8AsJ/CIYGNDiAJKgh347gQ5EsAQBoDBqSMygEF3Iwy8IgI0l7R0bh4aCABpwAHTI%202RwrRYciDm0JOfwgD6ZMNXi7MIYHjIEP1h1DFf6gA/9FmFoRVdABAJTwgGD08xe+Vq4qpJm/WEej%201bGWQzqrsAD+xXMM7KxCNIKBgLN/wtdMICdsOzH7a4Y3vEqARCEggYhaPqDc3E73H8BLBWiqQghb%20wHka6qCFJFxgAbEdtwEQ8QtF8DEjBd8PTRMeUyky3DcuiJx30rwqd/hR8PBAgAL0gGIy9GESIuDi%20JPTBE5xcB4hBBwyAF/BAHmSAFmzBiZ1Y2iXBoDxgDFRCGmQDG4jBAJzBqhyB4H0gCNafCO4VKH1S%20A3jBCfJALRBaLWzGAfCRCvLA7sgAukQDAQTAJVACJfRBLuQCGcTADYhBDDyBAJLBJcBAHficAygA%20BmD/XFBNws89wiM4gBTCABViAAZIgBhN3Bu8AQJQoRQqQBI8wiUkgRiSQRIYYcZhQDAoQXJFFxP4%20FjpVQSEEwxgYwC9wgAEggD11QnHZUyEoW2wxgRMkmBOckzn9nrJl0w4MQ6qNHgf8ghAol3XBGjmN%20wQJwQTB0QRc8wAPowS8QAwe8TEAVAjUlEBegUzWBAjkNQ4m1QAs8gRhkACG0AQGAUMwMwR80wOCI%20w/vZB/rBlPopXPohnG0gh3dwx13FDmj0kQFQwv7FQB+IgP9NwiQMYAsIYBJIgBd4QR5AwABowSU8%20gvZtXzhqwfbJnE9ZQMxpQQKgwPI9QBU8ACc+ACR0/0Ek5AEn6uPddUEVYF4VVAEk7Fpvtd4w9IIT%20OAEepEoDuAEXuMEdYAEDbEs0HMMk5OAlXALG9YEYeNENkMEXPQElZJwWdEAHUML2BVUZPqACiOSJ%20QeMAaJEExKQEEFUSjCQ06h80liElZORKElUkCJQT0BYVJJdzhdcbPECecUCv3V0gRgMTdAITuCEA%20dELo6UCyuYES0N4iYhNUqkIdRgLLEEKvKeKyrVoh5EEw+M8vGA0HAIIeQACerVMexNMPGJvtpSJt%20sdoYwUALaJ8DZACkCcAYEIEAbAI2DEEhDQswYosxDmOmsN9j0gbisEY6QJ2ErQZrkEc6NEAiKMID%20/P8B2YHiTI4dCUCABCRAApTCHbhDbCVCISjB8RlAIpgRJMhmITxjHXyBGPBmBwzKALiCKyAVOnZA%20HRznF0zCbiLnDXzBcR6nGFjjJHBRHUwCGebgAwqVA3AAB+iBF/BBMJBAALqYRuaCi70YjLFAD/QA%20jAVhBrJBDMxYjKknG6QnC8QAC8BnDAjhED7BE3SALPrnEHYAGfgnGYCRLA6o2r3BAjAAbUmlr0Vo%20HjiBrwUDBHRnJBhAJASiE6gCK3JBO/0e/lTBDmABE2CBKmDB5y2iHzICNhVCJHDAALzBGOSPrakC%20FeQXg/3CAvhbJIwBgwZDIUQDhyKQE8iBGyAQF1j/1zUFQyQQA49RoQOQwF1AwwXUxRQYQXHsCvr9%20gzBC5twUI6Y0x01RjkuxxsOlw6g0wAzQgZu+KR3MgARIwAyIpRC8AyPs4vyVoB/tqRe8gR7UQRdF%20Z0kiVXAOp0lqQUeKgSyWXMntJ0cyakdyEaWeZw6ioU5SAjEMlQQEwwNoah/0wBNIIxmUqoupJ6qq%205w3EAKtWQiXAgAWkKozFAHz2gMexga0S4QnEABkwqn/6Zx1UQh0w6rBWZxcJoEnqAQdYghl4aDS4%20QTTQ6BsUAh0wgReMgZx6kwTQaCFwQTR0QjQoQTQc4g9Ew7r9wBCowg5wQejpz7gql4v64RgEwwBw%20/8ADSIBVUoOULAANxKFv+RY+joEjvIGQjoG3TqiyKal1AQAhplqMOoAhxIEWPELKEAAJjAQDEIAi%20dAd5aITruBSYyo1kYsp2AIc4AIdAaAuEcQcyEs5wXOZFaEIKSNgB2ME57IMGnJk/cJisWIQ52MER%20lEJwKsBvmiRSDWcpLEMGxEEHJEEdrGeM/d+qjiobrKoYCOoNsMAXWMDIscA09sEPEuEl9MElFKhJ%20+urV6pwUEoOU/tx/4VxHZYDNPUIAgEEa+JSrtkDevqpP8VxHOQDc8pk3nWY/QQAicMApSABlHS4h%20GC5FMYAlDMIU0IAqGNQCCNQO/MEOMEJv6Rkg/P+CAQzDGHiBE9QCE9wBIzSAE9iADfwAKPzAD+iA%207DKCDvyAEnBBFbhBHoAC/jDBnf1cBnCAVtDAUCakKoCoI35rby2AI1wuuHboITLBkv7Acv3AH4CC%20ItjhvCqJA1ACB0xZKBABCpRSDnTHpGjmwX1pyGLKwk3mbChdOYDHOQDjN0DcdPiiOPRHojSOrHgA%20J2AEaIhZOPgK/qKpgJQDHvwBIhCtFggncA4ABnQANLhCHPjCyz1B1qanrQ4he3IRzcEAG2ytCLDj%20jMlYqJpqEfbqcZ5AdWaDBTqZLxBZBhwZkQVAGuCcB4EB4J5cC+gYLOptGrSA3QoxGGRACwQAd5b/%20nQSMUeOSQBtAwANwACGo5gBAQBtcsZloxRWQkhFMJRP8QeZlrgNd7gIs3wL8wgFhk7pWLv7cASjU%207m1hQTNppTswQd3RARc4gRt0wh2MAR1gwCc4QNqkCRUkmxOMaycoASjkQbKNwYuy2gKAgjixog3M%20ViIAQOzWbhV0QTAEAy0SAuBCAApYAyRAwgQtkh14aXi4SvqtL/tKWKe8sneUx/wSiMGh32uAhwe8%20wsnabwlEgDdkDjvAETk0gBAIQSkI7ScgbTJDgwS7wjLEAQnEgQNogRexwA30QNM+AuL+ScpMWuOi%204xdsrQXcgFBtah6mjdiNIqDxmAeljMqcJhpc/8ApMAAgEIEcQAPIVG4VYIEAXMXgtvOUnaY3edM/%20l8EZNICqEB065EAFINomTIEPVAOFeMAiSMFQLMI2mAHOCIApyQEQSAWVEAEDiAU17NflFlDliigE%20hYwitM9L68D9BEHIGBQVMJo56QAjuEEVcAG+qabRvIwXKAEeFwLpOuTqOoEXcMEwgKtUUu8b64AN%20YIENIIFUY8EG6MAfOAERKIkOO0AX2AGojMOqEIfUVY77uvJstK8so2l5BLPr3DLZ7IpxhMArzMNI%20QZw50EMwF7CatoMT/EECHG0yG8AEf0IcxIEzJHYcLHMSdAB+YjMZnIAhtMGkVRqltUEA7CY5X/+j%20I1BCLvRCL/ABafMBHbwBB0jzFgwALUKDAXDgQs9RG+EBHiTCEdyBDdT2EJlJQX+vL+CFE/vdFW8C%20CTCaDuABPOBBESDBGhxaDVRAJqzBCyzCFNhCDVDIFahANxSDURAAGpSBzQjAFBiFRxMAAUyBeRMA%20eW9FCpHMyIgFLKxXAaiFiu6AHNy3V4E3V/xzQZ9C0DTJAgS4QKmrOSnBD1QBI3yeObnB6TLCDzSA%20DkQA7EZAFGzABjACDiBbN0EAEoP1HKWDqBAHmp71wql1FMGyhtkGxFEOiQfLMBtcI+0HOqQDLGDB%20/HJHHB3AN3CYC8DREZyBBGzBJwxAAjzAHlj/AzQsg1IJ53AKZwGKQX3CGHwO4N5BQQ1c+cNsAsRA%20ASE8AjZv7Uc6QjA8ay2Uyx28gyw0AAAYhSLYQTgUQXfUgwZoACtEwSiogxWEQAhYgSB4ggzMggZE%20ASlUwCasARpUAAMMSSigxQvkiPjUABTYwoeowAgswgqoQBbUgBn40giMQCZ4ACx4gAnMkJ7zggfE%20xVXIwQUYBVdwhV+gTVR0d3qbtwCo9wL4AAMciQ8YwSJAxSKIxVcNQRkUwLCTxRYzqxmYAWGtAQmg%20wQahgX1HUAHMDzAEQQoUAAPwTK2f9xDI7g8AQw4gARJsABbkACa0Ag7swULKQT99QneeQTp0/1gy%20igdap7WJU9hy2DtzsEaLBwcrV4rrgPh++AASdBgcUccBeAOH0c4BhJ+791MGKPkzLAMKoIChHqBJ%20dkAGpieu7mcGXLFz1wDEbDkUtMEJjHN7kkEvOEI09EItyALM34Es8AAosLn9zviq5MAscEIUeEII%20eIImaEIIeIAgnBk8mIAtQMEaLINSoMAi7Mu+VMBmmUGk20ImiIK+6MuH4FImjAAs7DwS7EM4rAM9%20lIDqHB4eAIIAJACUMIBELYFaeAVXbEVW2AUpxbpRWIwAXMFREIBIgAQB6D16l9IgDEJQrEEpmRJh%20jRqtX4BYqOsOAIP8DMESXMFjOJR6UwMjRP+BDlg1EmCBuOsAKqDC53PeH3giBiSAHiRCA5zs3Rwc%20cFSON9z7iWdY++HGQAxIjB8cmtK15ajGq1RDwb+fZ9jBOIjDjvORAQQnkaPAkEiCJyzDMwyASbKB%209Vu/Bq8n1ArhI/gCyBvDoYH/oV2xAzRn1l6CAjhCL3TCMLwDod0BD6AgE3DFBuAAJszBl/lDPfgD%20PwAEO00eNGkKEcKTJzt22M3KYgvKiGRASPkIlSXLFFG3toVSIWXbi0wq1oiqYDLTlCFDNNgpB86b%20N3/lXpbzRs5cgwOITqH5ReACgyVLqBUwssPIyiEFCvh4UYEAA6kCqFZ7MWVEyhVTrlR4QVX/KoFi%20a7StOSbgStorAriGqrCGQAUG1IAYYVBgSIimSxhUgBq0KNIgO1IACIJFUQpGSKJYi6KDSScmkQZw%20kEAnnR1x/jjL5PwZtLd/o0mXNn0adWrToEf7Uz36XOxz/mTWBs158+bb//yl81ZuCghxLlywY2en%20nr9z39wpSeBqi5ZTJBZBE3Rt2bMBHdiwYfGFRQwWPcj3EGFeRAwxWhxYarMJSnz58ds8+n7jRp1c%20vS4E43PnHR7uqKUBL3SggQZGouAEGBA44SSFWQQRRAZNPLHChxAkmWOOfAQJIQtRRAnFh0WAEMUW%20W1QQZREVPHhBihE8WKGZFEVZwxhbFpkl/4occoCnHN9g8gYc324iB50G/oBAgAUWiAaUWt55xxx3%200LnSm3R8Q6cdHOwpYo8f9tAhCiRkMAIWIDyoJi0glhBgiSvWMAMuWviqBggBpEqLAEssqQCKCqag%20ZgkC7KQBFh9oGGoJKMwggpoymioDFhoUDQGWpgqgJoQynpGDES6cuEAPDvQY4wB2OGtt1dtoc+21%20WGVFjTNwYIVVNd1uqy0mf3R1NR3O5vHHhWlAyJI44vRh54ADENBCiw62cCAUUq5p4hAKJElmO/R6%20iCEGEcQ9Dz0LRLCAjRsqqSQNQ+CAo414482gju++yA+BVDrpZJgGeHAHhyMamIEJH4BIYf+cWVIQ%20RBd+1GHlHmEOusYKhDzBxApONIllhWJCCSWZEJIJEUVRRghFEFg8ECYWKbRRphkVahBlhVlAsEKG%20EGIJARcN9NFnn3DEEaeEb5ZzZ49TTkmACiqc4IEHc76Z+hxvYgMntl6zRCcm32jyQx16/IgHE3py%20AAaABfiCxYgCYFlCUR/QAIKGZBYhoKS4oLiiDKn8RoMGNAQAhAEB0CCCgTIAh9vSIZJhitCVPCkj%20mmFsoMIBDoihJNWhXXvVVdpEm5X0WVnjLdbQRX81N9VVtdUfcIqxgutkXWgEnAMg2c6VDjoggYBQ%20rJiAAgqSCSUOV7xl4YbyyBO3XBHYEOP/iS2sf8SBOEggIYNHxPji3vwiqYWPYe7gQRYcvMCDix+o%20AKCAFNJphBNBNGBHnVc4uQYX/mPhfxZWyJgwcLGIF4RiET6oSMlUoKOEpCAFmlDGBG+hgltcUBOz%204MQKJHGLZnBjF/y4xyr2MQ9xgGM4UzuAEhgACEAs4A9caIA55PENecgGh+DQodXKQZtx0IRIMana%20OLzxDXLgpB08aIdOcBABHGwgB1FQRBCe0ZRQrAEbAljEGtbAABpQA3BlkMPhiFAGGsihDESgAQPQ%20YMZF7QAIbvLBUDwwNyBQYweq+IUvMkAMYuAhHZ77jGd2havSHZJWsbsVIl+zKtJ8Jh3q/1iHOu5R%20jRT4ww5CPAc87FCKDnyhO3WQFgp0YYVrFE8NociAA8QQA2/dYDzOG9csz8W8e/UBP/gZlwW+QAwD%20+EsespCFGwohhC4kQA5DkEcJ4kEOeGBCEzJIASw0AaFFkAIIi1iBDyYUBE0IAkIpCEIQHFeGIHgi%20BAoUxMIEiItdTCMTK1jBRkLQhFdIQhSZkIQa1GCFQ1jhFSYc2jnKgQ5yHOAIREABERJgAC8IrAEC%2048ERvNCACKDjGyU4B9E0WoISeMMc5ChBBLwRgXbExBvwKEE60GETcpzjiOYI6ZWO6I6D2mADQJiC%20VLgogKKQkQiQKsACIEUNIlyAqNSgAf+kFoCgSEUqcEsICg0gAIEMfGIAEjiC0bTkD3Z4jh1C3Aw7%20GFnW0pzOkGZ9JKx0WI9wFAEcL/GGOm4RBXDAAx7xCEc46nEECbiiO99JQkPt0ARJaEsSpxjAAMTA%20gvGQqw+ypKUIWHAu8FkgP5OowyQmYQHPYvYRY2hAA+4gizsw4QFUSEACGLADctAjAlFYQRYyEQsT%20aEMUMjgAPOYQhAwJIgjAlUEQODELGfwhCAVIhg+wEAQZcAILgvDEhK6xi11kIhMjEMUUPGBPT/Sv%20fyGwQhM0QbFRNGIes/HGlZIkByKcAhCIeEAklGCAQnABD16IwAFCGgGNuoAe+NBHOdT/8Y12yMK/%205lDHb2BikyB5YxzoMAdIYzJhnBwASe4wBzp+EBUGXEAuUwhqG9WIoAtcwKjU+DA1jHoBJnghD3PB%20SxqViqA8BAMCYAgABxRgAKNlyTjiGJboNupVtZq1Vos88llbA45xhEMdUFaHrcBxBWGEQx8loIc3%203HEGT3YHfGz4Qgcg0ddlxCF5jL1BH2JpHlc+Dz205OW5PsvLL8zZsyL4Qh0QoOE7eIEJCeDAJ+Bb%20hiIY0Q8mGMEKphGEYkihGDJIBzwkFNxxDmGcsyDnOHdQADE+QwbS9YRzJ0SKF0hiGvJMRsY4QbxT%20TuAaE/jnNQ6BiVesQh8QPkc6kASP/z/8gQpyqAKw5bADOciBBkyJgEiJdA5wlCCu/ihBOCJQjnNE%20gIjwQOmED1AOcrjjJustKE4kTA6QWskGimDLoqgRFwEAQAeKYMICVEHvoQJAFXQZAoupoYMqgGKp%20BZADGGtMA1UUYgyEyAAHBoABHhhpWEL2RliVo5slMxKtF3/kI508Do+HYxzqGIcmkKDD2JTgCIhY%20bHdYzgYtIOIM9djDMqCxHTGw2Tw9iOWbdU7ZcVX2C3S+s50vO3Re6qdKNmDCBU5R1VMgwg1SKwcq%20prCIKaQAGNuQwkGi4FuE+NYTSQn7EDyxg5Wg0Qc7OOdwxykIKwhiFsb1xDMm5M/hNf9hAsMb7zWu%20wYpRvAITIBB5ONrhRBwwQhF/UMIMBnaEI9iAfTnAgYaJhLUTmlw5Lz3pkMDRjnLAw6ROjMfoixCP%20HBShFUjIwQ/KVCZgDAFBBVDFD+4ABDMAThE/+IEOQOEFRvxAFYzQgRNUYQQn6KAATADF5QCwg2Hv%20YAGbYvEYEHAKPuphAHdgKW7EoSrR6Urjh0xya8LPm7T6g4jjoA04QgAC45xjHF44BXem10qWfyEJ%20GMCAGLgDnvOIILJ0zjvezLEqa5fo7AbqzLOM7rO+4AQegAcawDkgwAGcDg/IYRw0Cgte4AWuoAiK%20oQIyIVM8oFNWwgc8YSmMQAZ2AAn/FAEL0MjTdgAFCqCKlmLUnuHSguAPdoDuWOEQJoB4iIcCsGW8%20WIEVMEEDkAAJQEAGMGEd8KEIcmADcEDb0AEeNgxLJAwd0uElfEg5dKgLweEfbCVLMGEIeGEI0AYA%20gEFBdMBHVE8KiwAYGKAaBCDZVmJu1ggL3CAucqAAuOBf3uEO/iweBtG0cuAOgA8LAOAOnOAHnIAJ%20CIYLmIARGCEyxgACFG4L9MAADgDcNqr7OiMmzK/8SCfjws+RzgomaCMdYGEWjiM2FCEBxADM1KPl%20kiAJokXM2GBcAvBbwoM82KDnzOXO9MxcFJCXFrDO9qwUeMALqAACTuETIOAT/qAB/zDqJYChK9xE%20CtZAE17ABErEB3wgGTyAHIFhA2wABw4gYAAABdCojJpiHGGhDHzgGe5xCMqgDIYAC2bhFa5BDYqH%20AtRgAvDuEJrACFkBBDABE6TpFUAgB9YB27iMHHhtvcyBv3AgCqpNJopEh4hIOZqNHdTPH0DgClSg%20GJaAEQAAFQqAMACAE9ywCCLAHgDAA5ZgB0oPB9QnEYZgbhgAAIxgDQoA+TbAC34AFNyhEEvLEAXk%20B4LgBxrgB8rADQCgEJTACdxA+ZiACQpBAggBDBxgCx6gAdzB2lzAq1ZHNFKxFBtJkcgPFW9jHiqv%20NzjDA5DAOBBqC7hDDHKxA57AO/+mZzzGI1ygpzx88VvIwwDzjM4+axLOxRgv6zHt7BF+CQ8AgQKV%20RhEiQB38YBUwKQjWIAt8wBbWYBpgwQxI0AfyAiGiQAYAIALcwR3KcgZ2AA2EjQr0EQVoYCnEyKiI%204Bd+YQF+ARpkwJQCUiALMu9WAQmLABOiAAuMAARAQAOmTDZMThysZqNwAhiGIgpw4DBywB7QYb/W%20ax7CYTTKYR2uYASGIAdSwAQqYI3MAASbYRAIoBqwgBeAAD+HAAD+UxGUAA/wAAAUhwYAgACmoAjY%205g4YURAH0QbuIEJBYRCpAQAOgAqgYF+UoBCYYBJ1wA2wgAmCgQMIoQW0YAAMwB3/pgYtQwN02lJW%20TrH8PgN2BslWQiAFjAMeIOE5usN3TgAw2QCXYskAnacHIuvNXKkAxeUYkdECOksBobSzJoEDhEAC%20qyoaE+AI2gEYMoEWeigENmERZiQLYKEaBuFuVuAiKqBauCIeeOCgDkBJqmDY0EhSLIU33evE9vQC%20ysA4rQA5iwcIC5IfjHAdcsBMprMVcMjacEg5nA1JIsBN4MEIpuAFsgALNmAKYGEDUoAU8IEdeuhF%20NCAefMAUzGAQBqEYGCAtQNAMzMBEdqAa1mAQpAA+AEAAoMASCIBXo2IKzMAIAIAGdsAd7oC0BnEQ%20C/FY09EGlGANaIAPVMENVKF9/wAAFBjBCYIhAwghDRxgAEqhAW6oRUXxRWHULW0FLjWOLWk0yYaA%20E46DCwbgBKJFCxDgDR7hErrj5irLPJqnD/71CcAFXJxHPCjLSQ+WAR1zC86gAaoAAgBBM9GhBDTg%20BUIgM4JgBELgCjjQA5qBFDyARURkDWpACmzBFEAAHWTTHRQhQP/g2IigjQChjMogOPn0xIjgGYZH%20IClA1mANBFahCDQAioAhBTagHWDi2UwOh66mHJToGxQkp9CgcHCgAK5gChAFFmzCH+JhY2fkVAeh%20Al4VCGChAkxhDYphEK4gBWwgBQqgGgSFAASgT6AAeLZHbjeBUwFgCSiRC8qAGv8W4H1UgQl0gPds%20YPm4wA5Pywm4QAdOixFAoQoK4QK4FQZQdAbewWhc9HTMNTVk9OI+Y61mQ73YDwkW4g9msQP47whK%20IQk6wLGe4AmIlDzWTGAHtgfIQEkd67Ma82APVgROYABm4AiWRGkAYQ/cgR7UQRg8IFiGIBZ8IAvM%20wAReYAQ89QoWYQS4iItsQQp4gRxG6whyU4yqABAMRwCC4nxPDAKI4cQC4MR2QBCyJSCBkAIO4RAK%20dR2gaAM2YNlQCmvOQaNk41EJqh3kQabcAQDyZAoAAAcqYBAEoBiuoBV+4xxMYBNqwBRMQQpOFQq0%20bhCmQBs2YRMyYRDMAAiKAB7/DmAH4GIK4tZPLIEEdpUqzIAANuAOgmAJuKAAoIIqzldPqoEB6MbT%20nmQY3MANvIALvOAo72AYIoEDwMAQ5nUAhOAdaih2VIWQODd13hJ14tJVRNdW0kETQMAf6kECPkEM%20xMAVpjgBFKCx0kU9uOM8mCcGYBdccLd2YwCXvmASbgB8/tjOGhCQoVRc6uABlHgBzldmjwAdQIAU%20tkk5gAEWMsEWRAEWVCCCYGERMKICGmhkTeEKcICl4EEOCAANdlAO0pcBIEB9f+ECfoF9b1YOJiQ5%20m8CWG0EfwsEcCs/zqiYddmj9sIZXCEqmzEGJDoARNKUB0AA+pkAACqAciCge/zRYhKXAmjfBVqWg%20Bsxgg00BCqpZE9hxAwahDuMCAghgeywBG5jkCqCgAN4BFPgCnQWASS6ACPQEQaRibgogGnZg3pTg%20P/MIAKogDxIgDuDgBHIxEmZIJn6FLbX4NDx3yVTHNoJFBmbBGw6gCzIgG9S4FAxAAhRgEsTsBlKX%20FpUUXAKWDBRAYNPlW3IJPO7sjwFZpmc6z54UBjBAiQvgAgBhoY6gCKrOGEJgJjDhGLTZA04zZUJg%20EWwhCyogR0oTClQgCuDBHfBAbtFgB/6gDOgZDfYUeF6ZT4mBGuQguIRwAj4gDFjBBbITS8yNSOTK%20f4dEJpaDJqiEHN4hKBuABv9ywAY24S3A1gaqxhs0wZq17pqx2RaMYRNMAYM3oRlqwBZqYA08gAF8%20AGwF4D7PGQKwgQTaACjkhABiEwAq4AKkVn0X4AJ8Sqlamwi0EhS40gnkAABk+xckQALSwHe0QA8u%20VybMz1UgOpHQtYvV1VVOSDmU4wA8IQXI4QgSoAX6YV47QP/U4wsqAQayAQZOAAbAh7I0a81ugLMc%20sA5OgLu5GwYcIL1hIADYOxsCoAXgO74DoBJaoBI460kdQAkawA3ey55R4Aj2gE03wWLHARW6YYR9%20wANyRgbM8altwRK4CApK8zttQA6c2Zx24HyPCjgvIJZdebXtWaGC65R4dgL/WCEMGkEcnM3aYgK5%2047oRysEOVjFLyOEbaIIcTooe4CYECAAHhsAMsoAATMEE5sAm4iETYkaDQSKDtyGyt6EGGnsbNmGy%20NdhR4MMM4sNwFuAU1tmz26gYTMEIzMEG1kJPvtqez3cH1ohuJEUrmeAOdAALFkAJuEARnAAAGCoB%20tqB1JaAT0cFXHCnQ00q4gVvJjBs0NoPKgsUOIkR34CADKoH/XEELkqCVYuALYCANWoDTzWUAY4AM%20cLcHpocNTqBdDMEQoBjVV33V4cBd3OVdXB0GesCzJsEBGK8QjkpmASERgoAUQqEGPMEbcoAWtKEG%20xtQghkDBGWARKqAMdCEK/8ogCxYhBw4gCuZGahmgCniaqNSXT+tZrH/BrD1BGARV1kaBOGKCJhr1%20f+PKybCmM8Bhasrhxo9oCJohzIfAHrpCRQggBdRdBkBCBbaB4EECylVgEG4BVVXgVZvBmkkWIuBj%20E4YAFKgAYjORBE7hD3pELEChFTYFzeHrxD5sjS6AKAqgENwARJGPC6iBCiDlDy4AAjiAA+rgEQaA%20LAH9V8Cv0M+KiwldrUInO78wpdQhCLpAAhyA00HJlUAdBuq7BWBA6icBGGE31K8+1J+gBWL9XdoA%20XuQF7L1e7L0eDvogBqZ0C0bLAIo3AZIBBeYmFLbBYu1hB0whCwrgTDQhL/+AwGDWYEAPoKtNwBOi%20QADkoJ0BGwB+AADOuW4hgATOGcVWjAiODQetwNxlra1PCIeGZqCG5h5IMqzAAaNs/Ici4BZsdQTC%20QQZixoNegCH8QR0y4eG1oUYI3hRUYBdEQRtUVbtGAuEZ25ttwQw2gQD6BoaXwfEtIZVfQBq2gRZw%20gByQQFjlQBGCrQuqgBryrdOYAA+i8geUbgiooAqUoAqiQalkngMeAQxu/gzQocg+Q5B63ucFfUZV%20h8o+DxwWIQEGYC8BogObGGxu9OlT51ILGGlapPkSg8WNGE/IWOzTgwzCAM7AxGmRIU7IAHHiQDAZ%20IKWDAA5aBhAj0QIMBUf/GnS5wCEBCjShoExZlClFOm87oDAI4mlICFg+gCxak6wBHjw0BIQKFYSA%20DwEVCAhw406JVwgkLlwgQUIABBoXlhAhgkJOkD9WKNidcK2Ji73nzoE7Jy5wYMDhNKyy488fuHKM%20v32LoC6FlBpSYI3LZKwGZRmJwUnetK2ZilvNtpkSnanYiCzSimUapEIU6U2moNSAYsqMGUuWyJK1%20lIxAlhWmqsUjpwOJDjQEeBOh4sQGF1CMFP1IxMWGjR2q8Hhx08CLqrdnHYBxkKBLunLiEv/zF9j9%20v/n069u/jz9//c7+5vfXDyB+5JDjTYGJtTcPO+zYAY8dQ1jiDCFpnEBQ/w8W3PBEBxUpYNETLPRA%20ESUK5KIAC2TEIEYSHaiYRBJbaKHiipQkAeOLA2gxwABb3CjGF19YYMEJCJhzRCQZQHCKAxC00QYa%20yVgSRAng/BGKk8mcEgqSi6BhiQRnnDFDKWSRAEgCgAByigBDHNCAEwSQAMEFxJh1AQMXoIEGIGWg%20MMQQQciAil0U4DJBGPrM015i/rCTGDnokFNOK8CAQM8531hqjjzmvIPKBi9I0Uw34xjRjC1SSCHK%20HAr+s8I2ptmiggqagbbNICOsMUIFWdgyQiY1yGrLrMZIYVsNBJzyiQNwYGOMbMpsowIA6PDARBAC%20cLWGJUTQ4YYX2vGSxf+tx7xAzQ5MVPFDECCgAsACCZAQAAQZbPGAF46lw+ii/hQYYL/+2qfof//9%20G2A5BKYDTqL+zOOPHQc0WAQJA2TwUkQS1QEDGGA0BEMAk0xyQ8iXUJILGTd8MckXLa18wsourZRS%20SiJlAJLGlfxoAQuPIOAFDhIQAjQcp3BwJg2h/NHXH2lCcBXTobwZygDLJJDAJ2NCgDUE1w7RQDo6%20qEVCBhdorfUFRJSRzDIoPPNMCligMgEFklCglwuNtKcgo+zMMyA68aDCCSZ+uFBOCd+YsykwKSCx%20TTdSeFCOFN00Y0wzgujLiRSV26KNKducakoNqfFKQCZZrFHDC6ZKYUv/aVJsYps2ylhCQhwOxIEN%20FMYYs00Nm7xggztDbOIVDQRUQEQeXszgxhLVTBHKCioUQ40sSnChyCKfv44eIRecp4cB9+q9qDcD%20E4w+fvz5lz6ABgacjj/p1JMOOngckIgvGRiiBUEmotgHGFSiY2moxA1YwAIx9IFkChCIRE6QBji0%20AQ4UJAQFJYjBCWpQghuEgY++cAMtCKEBR0hABnzhjDic4AQBGMAnPvEH80FjEVirnUiwho04uGKH%20t3MGWjJwwjigJRkHSEci3hS2JGLtFMs4xSlQsDZo/EEQs7CCGiRxDVZgIhzzMJ83hgIOb4jDGxHw%20AxKQ0Ip4lMMd8iiH/zkMtoErHGARUNjEGtQRBCmoQBtSyIQfAlOCT4kiVrb4HGVscYsrvEAFZljD%20Gq4wgk3copCZ2YQxNiGF0LUOG7SDACCwwazPqWAEUgDGHXagmkQuQgCq2IEOnMCVQfxkBcegBjB4%20sB0GmECRU6gACfTggEcAMQFKcIc3zpGvA3mjfczcj6LY18z7yA8cifGLYuR3AKokQg6EcIUDtNAj%20NojzBgxpSAEn0QcyDIQMuUBAydR5g0oYgklMgoMvLjhBDF6Qgvf0hSHAIAY2+AgGTziDVBCBQme0%200BU4cqEi0OGNZ4TCJHE4RUmQdJI4ZKMkG82oEIVYATTA4wA/eFMG0P+C0pRCYBksZZsggnCIa1Dg%20EE3gBCdYEYFxDMVAY8THBloRAXK0wxyOIoc50NGOJeQgCqzbhA/msALZhCoE+hCHC0CgDKn2zhRc%20hZYKMhGKF9wiC9VYhBmkYIYVlMZVZjVVHWEHhTZggwTYsMWwtnEL4gwiHrIIgRluoYIr0AAIXKCG%20KggwCAJMYQVZmEI1YKGKrxFgES94ngDKtIVHOIAQAchDUM0XMPNFs5nre89o7WPVRLEjHay1w5es%20loCJZYChdfgCC74gznF+DAaTYEEfRNCHDWlEIhIZIAyOewIYJHeFyj3BF05QhzqIQQxPkG4dJiEC%20FnzsERLgAw+4cAr//RkiG+L8wnRdUQpHQYOJy9ihK1jaxB1+oiSf4MALXfHCkpCAiPZAwZv0Rwj9%20pRQtvkDpKUoxRUFYQxFY+IMidKAIJfxgBg0ITzxAoAF9mM+N3kAHRBEjg2nYYVewskcKTKGNW4hi%20BOvwBjgiEAsVSGN7rjLNafp4hUzkxgfVOCusJmMKKQAhB5vApCWhUEdbVOCtl2zGC6QhDSNcGMWc%20qwYNAIAFOTDAElmwhCiycAwjUOMFxpvCC8Y1BRqU4RQn0MJKCJEAOhwAMAELzGnbFzBo3vkfglHU%20AfKxzTKU6RMDKMVmHeBc3ProtjcQZwx68CGMpPMJTwgupHvAhuBS/1cMl9j0E6YLalBPog5aeAR0%20UTYJC0xiZ7XwAiPk5YwW9MhHbNACenkQhTII4L7ybaJF6XtRjpZEiL4goh1mgdITRkjAQvThSSsK%20jbU9YwjPKAAWsMAEJWhbBzpQQg50wIp7uCAxHj5AOQ5QxFZsIwqsIJZTcbCC3f1VEwQCRw5GIKtT%20uQqTprlFDdYwiNcVuRjVCB1pMgmtKKzAFkeGnS12swZjQOFUmSDVC6agA3XAYhqyeuQSmEAFGlSg%20Al7OhAeAwYtNFIAAAJ/GCkYggB18goefIAQEqkAOOitKHOfYM/pKe77TCgYcCYKHLv6ACBQkABEJ%20kIAEEGEJB0iAEv9bGGBylQuDC0EERBmxiEZ68FsRZJcFIsCZBb4gAiCpfe0WKDvbZfIIYozQC1Ug%20gTNckQ3nsgEGAj1BJHAJDaxptB8lMWEKnXF4ICo+A844KQnKcAR07AGJSTxh5WsHRLQI0TckOAUE%20EuAuKjwAEQugQhXA8w53uIMH7ngHDxrgjgoTgAE2CEWRN1EELNx+E2aAh/zYYYJCSuFzrvLc58zA%20exVso3VSqEYKimGK1KigGZO8wiIGcRvQUL8ZoqjA7fHqga9i5QD2WMQSXmBHBgiAAGg4BSdVMJxB%20mKIYSxDAGoqhmmJUYCvJKjUJCHEKB/AN46YvduZz/5JnpuVzLhD/GPMADnbQWgdwBF9iAAYwAAlw%20AW0QAHoABi3wadMVMieDMgYBdl7XBzcgdml3W0BCdqoGJDdwIS4og0BidkDyCJRAYTOgCBS0EF9w%20XBbABmJwAhjAA+8AAFjzCdmAd5+QAMOmUSUBRE5YO6GwX/SjBLQTB74gYL4gRCExbFZTX2qDCIjw%20Bw/QBYVQgYUgBELgBmfgBW94BzPgBXfABU5ghzNwB3JgClWgA8i3CYtwABVwKkUGBF+UDvbAcMOn%20b/pmGs3Ae6aCSaYwAi+wC8VAChxXA8VQAytgBFNgBpdEGTWwDaIwBWswcZswCBqQCaJAA2hQBOkQ%20AiPgA7AwCEax/36AQADYIAqLoFY1YARDYFaDMAgrYAa1iA0psQXzRQgkwAUDSD48d4AIeE16dmeK%20MR/goA/j4BeWwhgeJg93UAs5QA3Y4EunkAA5wQEcoAd6QAkw0iItMiNPcAOXcAMgc3YxcTKq9jEi%208DH1+DEgowXmhXYXMgknsAWlUAoSAAEt4ArP9VwM1QGusAWQUIRUIHgbRQKfsAwQMHMauQzzJURp%20kiaLkCZywCZ4gCYJ8AArWQpd0AUVWIFvYABv8AZrKJMwiQAGgAA7mQs9GQkK4HRORwWkR4Z/sAN/%208Ad5UAVdQAUYKACQUAXZUmRXAA/eUA7gUA3Dtz2KqJWTUQPGEP9kruKVKvACzcB9opBWi+AJK1AD%20ZmAq3PA5WRAKIwAF3RB9GkBHApAMyXAEdsAAm8AAAFAAV0AEf6AWUJAFi0B9g+ABQRALxdAMgyAN%20t1ABa0A8SGI7GQAHiCAP58BaCsKA0egvCRh0o6Uv2DgO2mgp31AO8qB67yAL7/AOXDAFEEAEVJOB%20NhcvmXUCmhV3WqAFHeB1ZIBpbIBAx3mcPcB1MfBozGkRwikQP0JqW5AAepAAOyKEzbVCWpCMkbB6%20VAAnGaCE5ogIOTIA0ICQ6bkHiQAJZ5AIZ4AHNnAEbMIFBtAFQjADZzCBdCAENKmTOxkJGPAATjcj%20BToylEAMlED/CewoAcGAAcEQCZHQBWMACYrwB1QAAFWAdAvAoUNJBVSAAjsgAECAA+hQDv4AAjWw%20VqeiiFvpO9uwCZSRSazzLKAiDZkwSiagOrwXo7tQA8pgDAQgCrzXDWaAA+hXAWkiCEewB25ZAQWg%20Cj+AB2qBDYsgCqIwCE5mBGU1AsUAcK+xCdjAAHoQB/N1Up2JL6ApDqLZL0B3gF4EDn7wF3tBp3Ta%20F/GDDlFQBHuABFgQBUEAD+jQAPIJn4UwBoqwlH+wAIjwCwnwC3qQjprFAQ7AAY+QjpCajpOajmcy%20NBCgqZuqE1Qzhkv3AH/QBZCAlNawB3hgDtm0JyiwB/N5BDhw/wT1MJ/w0A7gkA52wKu8ClFHNahK%20QHoLkAd5EAwDGpTsqKAKqgdJ0KzsqKzLKq0KoKBPhwJEgAZAkAw+4AGk4AMh0Cdy8AeQkG1OkB1H%20cAfocFTpsA7TwDoyOnygEWSeUwPasDrEl0m20DqxMgKA1VgBpwKwcQvGAH+kOAKDYAYjoAFAYAxr%204AOhAARRcABDMH/DCAsFIACLUAFAUAMqdgu34AFLMAX6Nwi4kgVmsA1AAA3nWBLYYAPoYAcK4g+A%20waYBQpoHOBTpMA7qUAIu0LN78Q0927PjcJVpii+7Wj9dAykeFnuxxyZHQAcyiQCRUAoIgAEYoABX%20q7VWiwHutP+TMFmTNsmfdDADcviGb9gAbEJCB1AP+umr6HAEqNoFR1ATFTaBR4AHOZADqIAFQYAC%20ZVAAS7AEQEALDAAEdkIDv0AEv7AAEvCovxCUwRCt0kq50uqslECgEhAJkAAJiWANupAPc1APjdCr%206LZ6DcB67mAOqksg6nAFk1FjW2kaMNoMbXl7r6OItrALoHILACcKa5AJKzANADcCw2JJDYt/tzAC%20ReADRbYGaJAFQbAH7XB9IysAhssAaLAGgzSMtvACHrAIWTAIxSCMa3ALKscFCRAAn0BXTIAOrLUo%20Bliz+eGmPudi3kAP4dAO+hAOjbGabmQPRYADcyC682AH5cD/KNSkGOPAF30hRoHhDe+wuqrXq7tq%20Bw+4qzALDhtcDiZaP+5wACB8lYlRII5xKefws+dgB0VACzJQBPZgDzkQBGVgBBfLC7TgPNVQDQJw%20cS9wBQzAAIILC7BgBEYAAENQAENwZU5QBVzgLRvABT/wA1zABYUgxVJMxVSsHVusHfEpn3W7Rq9J%20IMckGJaiKar3mqnnDt+Qq61ASpakAryziK4yfbKCfTE6iLxrBqGzBgG7BtqASVPQr7VoSfnqw+Kb%20A0BALGuwCIdbBEWQAytQAVdwBceja7ZAAEJaDCuwCLzgiZV5sCMwAs0ABA0QeO+CDYhwBC6WKPML%20IDdrv2Gk/w+MUThS4hcdxhj2sAegWwT54Mv1oBjUtMH/ALR9cQ4OyHPk8A7o8A6febSrtVqsFT/O%20zFro4A7WDFGM4hcEQg4n7AJh0Jk4wMO7kLHVAMRowADVYAI4DAu8AAxYhgk58FPxsAE4EAERYA4l%20IAslwAhAQAU+8AeqsABOwAeql7ZoHHsVxgOsl7ohDHshDMLlhg7oxsyrhzjG3LOXYlSygAM2cAeg%20UAQbwAggEAHeEAKgUgP6SkirM0nNUAwvYAaaoaIqABqbID22EAs9FitZStMmoBp9LHGUsQYwXbI5%20cNKwIwpOEgV4UARBAHBTMAVbsX6h0FgrsAIeUA0IW5mDUP8BorALjYUHfwBnZEEEeOBipeXK0jSN%20Crhn61EO/QsOtlwOJuwYBtM39EAPfkAPLuAYJVACGF0CHfxF7bHBuvpF8GHMiX0OBeJi5VAgbvQO%20XlALtcAD8tCz7ZEO30AOf20H83AOhOMPR0ADqjEEjMALSzDEZQAAiGPNiPMN8mDN5CAPjuENjmLN%2017wBsAAASFAAQEADRGAD7zAgtu1hwz3crYfGymzcw92aft0OERAP6rABGgACSJACQRACHuAUi3AF%20VlHJBIcEfQEMynALytAMu7ALokDewUJ9V3ALvjIIomAKm0DTRdZI23AFCqcbgxCjxWECg5AFBIB8%20ntMMvST/CraABLzQVJvwNCgwC4nwDAywrSiQDHqJBsM4stMQvAQABWbQFRqeCRWQDEAgAB4uAOZY%20CnPGgIuS1urzTGx9Z48dDoH91ybs13XN3Oiwmo7B14nN17X9RQmCKIytKIq92Me02Ofg2N7QDndw%20B1RADdQACpZtVYsxIIajph2WDkcAC5jgDhEAC9TAC7xAAzrwKMXdzd9Q3Dte24IKDxFgAz8gqAww%20BQJAA66UAziQtuh2AObQDn9+zxFwBzhwBzYQD4e+AYn+AxqACSDgByXQCucnyVk63yy6e3bUFSuw%20BBrgDX69D9ygDLtA3h+rAq2jr7WrDTHtK2Y5K58jjEsA/w+deAXTUIrF6AFeOnI1YJe9swZKFgVG%200A0qUEdrcAqicArWIAgVHgpWQQJZgAYCkAVZMA2hcAwewACVPHLCmyty6YliSgUDgAg40Bet3OIA%20s9alae4JqIACgyjrYFMasA4M/Bd+/dl9MYCOYSmGE7T0fqdexNj/3hmI4gL2ju/mU9i1LQugsAN0%20EAgNnwrusCjz4BgHsy/7MhSO/Q1FsLo5YASMIJgyAAKOzRgR8NzSvVTWbd2/CAvOcwVL4EYaAMj6%20dgsvTQse4AGwEALcOrgmoKOLAMRAgM5AH8QMMFhL8APkkAMtCqOm8HBmECsqYL5rUAHFMAUkqq4Q%20VQ64wf/0bolIsaINv+L0+joCtsD0KioFvTsEBDAEfdqn74wEIBAEwLAENWAKCFtklGEGPp0DvDB/%20kbQCPlABtrAEiuAJdf5wJlDn127VKzAFUjDJXJEFxZAFpjMFOHwFn1cK5SkEB9CZ8EHk8nEgAYPu%20ePbio08foh90wrzB7cEKJjANL/ACsRALKSCnKPzXfH3jNj7bio0wEMXYHgxa88Awn23CbfQNCmzl%20CX96DR8IqWAOe8MOm00g7+sPb20P8dAKOYAJSAAMUYAK7rAB107z1XAF1eDDmzwID1cD5UtwwKAD%20RiAD8eAN5pCVr0Nj3bCVli5wxJLJAHGFwBUBDAoyYLD/ZMmPb/HMvPBgYsWgEYMsUhyRccSKK0vu%20uDuAjpw3dFM22dokZdO2Gs3M2FKmwoyKW7ZUoFzzYo2tGiquZNoBAAsWJgBSMIpAjly7CBsKmNm2%20clusctWQAJPSrJipFENCbaqg6ECOK6Y2CRCw5IqPnyOmmVlzBQgBAsUyZSqWRdsIBhD8xknQ5Qi5%20Ei78efPmT7G/f//8iVu8uPFkypUtV1YMjrHjy5QjK268Gdw/zZzXmXjxopoHDePOjSsB7ty5wt9c%202P72bXa5cucgPxbnApyL3t6+IS7uDVw6dunIzT5XDhw7f3bMkfsmi4+jQN1TvXMXbhavJS9CZcpy%20a021/xBGjMCSOwhIPHIppJiSkl//flu2BjW74ooCgGknnhQ2GKkVIEypIb+UpNgmvwijys8UszbZ%20JBMBCBKABoQ8pGGJHSJAx5xyPBgiBbaKGWENjUbIBMZMroDFHG/aMQcd3rwxYhue7tMvQgibaUYF%20I1WQooZBFsnCDCikMEOAFxgAwgf3BqlhimqqgQWAKBjYpJmUjPAmhBRyKOCKYgbBYg8fLNlkChKj%20EAALYHCgoYIpgFghk1BGgMKHHaYYJIssMpGmGG1UYIAASyAIYIstZnAnHcUSC+0zyUDrrNPLIgvN%20U8c+y5Q0Ux0DR4NYYvEglmo4KcGb3sqhRx/aSsD1m/8S6DknN9nAASc4cYYVZzZvYkXMuHISa65X%203fyhTjFyypFHFie4866WKLbazxhRgPDACEzQIQkeTFDZIJ0iTFJpG3fzq0EbW/ZTYQoPXlgClrRA%20AEEGAoR8UEKBJdzExSmmyIJDhBAiggEaaMAiqXbIOUAGWIzwYIoYs8DoxRGWwIEcG5ci1xsNTGnG%20LP1MeXdlm26poQZTZlxEBZnXqKCCNQlYgdBiplghrxVeQKnBalSMIp4NchjCvSIAIMWgINxBBx5y%204NGBoAoW8eBQAsxAwwgC1sgC6D5H2EQOOU6BIAMHtjiD6nkkG1VTxjgVNe/MNtusU1A9Y2zuusfR%20RQb/JlmEpZVzwFn2nEYKmw1X3jSbRx1MNBhlHhdcGHaeuecJTvPNXbAj2sc2D27zc1woQZ5qU4Gd%20DxmehBDCbYxRDRYfgDFxpCjAUacIE5qRUEgIYzbFmG2acSuTaWqSohtbbhkBP+Ov308lU3yaIsBF%20EAKCyoeXEHQDd6ZF5zgkLs5YI1Hehz+jK5DAJIJYwVHOG3UyUeHd5flnmX5aUiQGNWgTK1jEIDZh%20ijUMwmFAqEYWjgYLD/jABzRIARCMYQtjqGAExfCSXBRSJSP4IAfoiEc70IGOAxTBIAKpABAWUYEs%20VGANPhBAA8t2jGIUAwqewMMOIACDDGhBCw0gB3WI/6WpxHijbnmD4t/61pm/NQZYmrnb3MABj3EA%20KxycMNwKTCCDVpQjHL7xxmwgU47YnMMf4GBFCO7CDFxcIwRWwAQ/uqgPfWyuj+wA5NyINbrRyaN1%2076hFIqlBIZXUTgqZWMSGAFAEMKYAFVGARSYi1KAgtcwYNSjGCkJxi1CYwATTqMG7rGc7gTXjFtIY%20xC1kOYJqXGERV3iBACAIBPJd0AcFsIFISkSSCHijFT4IARDa4jEYwegYLDFDMVZjpmOZQBsVksIt%20VsDJ/EzvJiOIWcryAwUgCAAKm5BPMXTJwBFkoYH9GcQaarCJGhhDCrZIARagoIJB6IkAIdiBPcqB%20jv8ISCwKOtgBXQxFCiCMoAKmCMIQCFCBFaxgF8dYQQVEcYBCdKEDaTDiDNAhSLs18W54g6Lf3sg3%20UVVxMv64RzjCMY7QjCMcc4CHcmbaihQYIRbHMAEsUnC5dUQgWOXYmz9GwYlrLCITyrDF+26BCysc%204hrXmEBWDzGBJnzgA2HwaljBGtZ72KEE35ABhIxhz03I60imMEMFVFOBlAxPSCyZkCNdOY1prEAZ%20zZhGLO6CJVYKyZ6s1IYoQllRW6bmCiZgQDWAAAQTgMskUJiClZBQhBzA4xvj8MYG8gWEF8DPtC9C%20FPG0kYlbmGIF4QCHJoyXpGZEKIAoi5koiGQLs1j/CArVYMAaOjQID6whTFBAGXp2spN61mBeKQDA%20JsyAoXEeYwkm+KkH0lGOeMxCBzQQwMEIgEMnAaEAPJvCB9spik1E4QdjwEAAWlCHUhxgWI/Bb90Q%20czfIpLSldJvip+hmxX+ogxPA8AQnYAsZmaojHNLBH2/0sQFMpMAD0ziGajwggxSAABMg4IQnYjGN%20RYRABqSYxl3UIAo1XKOqFGCGJCgwYwpw9QNbzWqOJ3CIRszDG7Oo5wajahe8HGoNUqARA4i3DQ8s%202XaHldAtpkGK0kJoBIv4qxmIV7sJreR4tR2SCpoxvUwgcEomWEKILFiB2WLIDEOjRQi8EY8lROQF%20/xmB3y5EoeddVGQQLLvFFI6hjUGs4x8gaEZLJsSSldF2zEQ6iZiQuwnJMmARBfABFAZhi5loYw0H%20s8UazPBJY4x5B0gItZOmmx+8RE8bKUjHj42QplD0cxGkuAJdLb0Inq1AGugxRhls0AUHPGK+D/AC%20cCDT30sd5qQB9i9mVhoqT7nUDuJglSA4oQlN1GNuipkHOGRq08cAKzqyCsc6csAJn8biBSmOkZ5V%20kAVSeMIHkhBFFtSwCzXg4hCHoHHAKeBVHXc1DMRBxSA2KIoPTqEYNOxTz7JQYh9QyK7bSN6ElLeN%20XVBZGYfdxTbL7Lz+uYslojiSkXjCkgYZlp9rIP9bKKrhA01UIyrG6GdFbmEGLZtCGuU4AC98UJ4Y%207XkEDH+RXbYyiLvALAXg0AVrbxLAIBHPFok2UksY1AyOTKECDLigDUJAw5twelFTWMMtsi6FLckg%20Ci+pQJFk1gxtvEAZyyuGOg6TQ4GsodZpycImXuADE/Ds4TEaRChsMIZgEKMFJ+iAAUaSGDc+xqT7%20VYw4oq1STkFb2igVhwZewDVNCMIKMuDEOvRhhy6OBlga0MA+/BEbxTTuVzpVhy5yAIJZhBiZnhDE%20LCQxfDUUv8Yf0PG/DxFWr4bB+eIAwV83IYoVGKouG7mLoZYUAh94ORa2MLmQVJCJXRTpFnlNUg3/%20drEqKqNczD0RhTREkYndKqMG9ifSWh0UsPs08D6b3h71sggYaQV0AIYlWIQUOxSpkqWUKwZRqIFb%20KJJMMAMP8Ad1WIQGFAUuk4pSS7T3kRczqIEVmDkrwYIr0IEiKBS0s4VF2bmcqAYIhBkxgoUNIACb%20WAMGKoaf4qFu6AYpMAHN0AEoIACv6ycNAYI1gIKOAIJBYJGzsQUdEII3yIUAmAQOKIV2OIfEeKNg%20eSOTyjzP27xRKQ3OqLYBIw1+aJUNC4EQEIY3FAZtu5x7eKMUmIbVeIV10ADY8gdLsZTMwCJ2gIzp%20sINRaAR2sAN+0IVRGIV1aIV1OLiD2xzno8TR/5kNP9gKlsiCiuqhhyMyGBGFRfAED3gXWJgX/VCB%20F2CGariFbuEGVnoBUhgx3TISLYsR6hmBRIsZnni0lYMQ/hMg6ImQMDmSEVABTkgHJDDGqxMzFYgJ%20IpEXbbiFRRiB6ekJIwkFf5gHD1ABlNu5VHIQCJkX9YPAlpCCwbsCBsgBJBCADVCEKTAFh9qJZhA1%20F7mCahygW9CEHFiCeBqEe7IFYKCFaSiGrOiGGpgFfzAHWDADuugnAsgEIJgCbVhCDxibi2iRRaiC%20PCACDngEB1AASjmAWBsH/FqMP3QMzRtDy5Ci/0IpcfMATSCFmNSENmxDWOA2TZABGQAxYQgB1f84%20hvGLRRnQAH1YFsf4Q230QsagDixSNnEAndQhpGFRneighW4wBW34mbzQmR7yGFGIhVEUElJQhuiR%20MjRjRXjBHpaohhHjH23YIGWgnkH4tf9Ynp7oiZpohg1qGZVICXqiCZvRBiKhx11IOxWQAXTQgJfo%20D5oQBbWTpVsQBabjn51rTBVYATqUAZuYv38MmHBiravbRRXQBncqAHtAgh0ogiAoAAHwgbmAqk1Q%20gZ2giCIhEimABX70AJ4zA5UwAQ/IMHDihhp4AXUgByygAR/4mrpwOAaABRmokmrop0FgOPayBAH4%20hQAIgCTYgjxAou0qAgjTlH8YlpVkyWkzQ87/C7BGAAErCIFV8QAPsKOcDIGabMP4FIbTEwRNaJVp%202IUOkjJasAIQcLBwaCPZEIc0SpaSEQlvSAdw0AdhwR92cFB48IdxkAFuSDT0KLO6vAiLeB8VMIFR%20fBBSIJ5biAVNEKyW6yQpeEUpwJ2foJ5M4AmeCzWLcC6ZWYmsI5JUMoaVeJCU8CYPkkyKYLhYMkZa%20GAccWAHqicwGTLm0c65yjEA/0QB20ACUm5EVOCwoKwZOuJ0waQaUswVcwgIbiIIGwDQAKIAgGJQ1%20eYnEu4JuXAERNANYQIIr8DpPrIAyzYQXuIJ5EsEoMIcfAAAAyJMKsAiKWgIbwIIyAII1YbqK/6gG%20Afi6tgkALUgCBHCHBmiAFNC7+/oMNzLPz2OpM0SpeXAMVkiBa/AAXIjPVrGjNtQETgAB04OFEMhV%20NxSEnQyB+HyBTLAnbhCFwNIEYMCEy3GwxSkOciCXWMs8cfDCkfQGdhgHI4gZbtiFoqOe+IsltVO5%20ZlgE/tQPD2gQFeirU0ySgdkGDyLN+avTGEmZq+O0WxDS/8CPAsq6T4oZtmoJcPVGYzw6aZAlFqmG%20cUgHUxzYbiVYyLyFTGgQ+OOJoUkBdqgH/uEaEygG5hLBGsiEKVAJ4mkJMbuFIbCHKACAH6ABhCqA%20Nl2CrzknKIjZmJGZTAgCfnyBInyBuYC7nv+ZCCwxgqVoGiCwIX8aBAIAAtZkgCvAmWYKAlBggAu4%20APk6AUpIADfAA9bUh2D5tlEtVcApQzF8KTRcDDuYBw0IAROQhN8khbZ121kAAV3gBw0QBFbYtvqs%20T5/0BBkQBhngT4glwRSTBrc4hlh4zhR4BX7RgHiIBxzAAXWYA3WABw1QBwpLARMYICOxCApswJjQ%20BhuVGRNQUf2IBb0Ex/3wnz9dAVeSwFXxIIi112EsBloYAlTIAUyIAkxYgmJwF6hYnh5dIGk0Elna%20BVmSP+qsiBgpTnbgBFN4pRGApV2wCPWg3k0SsyKBEQ9AWFwohpk0gVCgrDWgQJsRQTFxWLP/WIIU%20uFmHIQcA4KUdaFmihYJPk1mU8MsrGAJYoAYjoAYGiKvpJAAnpKEK8AF3cIcdoIEyYAAoUFQaciAf%20YABqeIGHDJpq2AD+vQAOCIATuIE6KAQlQAMs8AaqjIxkOYevHdvOc8kpMh12mAd2WIf9lMVYMIGZ%20rCATYwUNAIF7sAL55Da8tck2jMMUAIYhuM9gLYZd2AVl4IZN+qvlQZmUca6ocBcLSRnsdcGWgKoe%20pdkaAAJNAALb8YCPaxkWVZ4IfJ5tULtmUAYPCIFmQDubuQUC4AUNiIADUJoN2IB4uIMSIId4MIIX%20uKZwgsaZoInIPJI9M9JMYDoQmId1GN5X/5pecF0DI6kdaYQJI1mBUfAHTXgBVkHAF0ivSm6ue1Ie%20/km06SpTGiAABogAGxiEDtkBHxgCNIChG1RC/cAQKAAGHnhlAWjlIlzaKSjCtUiKHTAvYG7CVk5H%20EAHOXosRVJi1joQBDhaDC0CDApiWYPmNZpsNFM6UsF3JxeBCxUiHeYiC0vpTElsEU5rJvf1VUrAj%20N65J++S+WKVVT+hbGfAE+/QAt72CQXiBFTCuBaKu/nAuZpTLmqCJq+Nimt0E0SWFXWyy4kmST9oG%20hrvG85ulMnsBFSgGMzCFYgAGxuWsHGgFPs5jPW6HdtgAYBiBqGCQ/nDo+5PAF9DYYjDeD/+KEU5w%20UGOUCaDmuSNRO0eiCfMThSjwB+FZgplchDuzCBU4p3tSCZsYs3CyBfIJEBuIgCUogA+hhgIAAGDe%20EFFTAQxhkLOYAUZggAIwAvBCWmXSUxP6CCZAiD+gBiKgCw4pAx9AAw8RiGpYAQK4tAtgAA64AAdI%20AkogAipoAHKJSm1MlsNQSRRuyVLFG38oh1m4lyzwRnidhtFjv3++BnmWZ2Sa1Tbs55qMT5u05/v0%20gCuIbeP6UVOAAudiTC02PzHDq750EFJ4z/6Qgu+zEAiJ4m1YAWZA5RRjnm4E6hEAWVjAgaXZgJY2%20YKUgh3f4BnnAkTvwgwKphv4rBgyhWeL/eS0HWwdNaAbkvQVtGALGCdRE6w8bnVOZWVd38dgisQlO%20sINwqCBSaEtRplGppqdGmr5yzL9iWIRiWIIccIdDxYKvBoIFKAAPAeZ4sgXaQS5ToAYbAIIdgF+E%20QNpKfYECCAEd4IE7oIEdoAMvcAMqMAgCQItFiKTwuSXC1qW+gIBfcABioIQHoAOQsJTf+If9Uo7K%20/tq9oTZw/gc7KAcLc+NfNQGnqj7+cQucxi5Z/OdYaNt5xtvW7ucgtslWEWUTgNiAYRDlcSTbsZDZ%20yp4GSVETkJDSxe+/igkFTzF0XQEjMT9byEUnBIFyoJ+kMIcc+YZCL3R5QHRziACm6OoD/xoBY+jY%20/FgBdSgNf5ABRtuGERBdeDiHIQhtBuCrKwAqWKhi9BvTbiQST1gOMPIAyjIBNamAEUiSv8yC/rDN%209AOlKYgsAICFIWCEHejftqaGNMsTM5CXRQACIwgCJvgBHtiBt0bBHNABAACGaigALMiBOyAHUNgB%20KqkCNyiAC6CBAkCDJSgDBaYStBCIVh53AtjxB9CDP2iAkQQ3z+nDZAkWJr/szYO2w/AGCwMCLqeg%20X/3VEeuTmtCm0cOFGqYFWbRhVnHjWI3yICbzifjF7OkW1GWlTrqdJCGFIYgFIeFGIsHK3frT9xmB%20msiIHrXqalAaAhkmpTh0c/gGkaH5Rf/HEW+QATOYhqwYV1gQBE7OjHGwOSngdJssJkzASU1Ygi2J%20BR/YMpNDkqzIZJjxgHKwg530gfg0JR9gRZ770UNJCeXZS5owiymghWU3gvApgCEAgB0QgAIog2iP%20Y1toBXhohwMAhRz4AUb4AR0ABhsAhQ34gQhAoggoAh0wB3ewgbxmADSghiGg+yEYAkWIeyJYcbrH%20IVlegF9IAD3ggDGYgQZ40MzTjMkuT3BW8vSMtn/X7CBYlacOBa7p+lj1ARp+N1HQhpbYCJxeFfik%20YQ+gIIqPT1igoGpIQCRpmSa2nfAjmFQyOduhp3AiBU1YBJIvBpt50ROtAYaTzPb2oN3/2obiROmR%20MYd2KAdzKAEcKYebb4ebL/RDL4eWJoc3ZhkZCJZfGQ2A+HevhhQpr8KFA5EiArhwRkLEghXrBa1Y%20x7YVLFjMVCZpmYyYKNbMQzh/HkwAWVRNgIlqi2rYyjTolo8Xt0aIgnlrxZpNpmoUYyDgigAGQGgU%20ACWAWoECDKasUWEmBJYc8SK4w3En3oatoHJsiGeuHY8IoMzdOUINSAFVBXY4ZXCFhhwARGj8UYSF%20yhAjSGkAkHOhQJkdVTWoCwduHLxy3sD58yfuH+XKli9jthw5MmV/mT+DrpyuXIpqpGB5WGFL1IpQ%20sTz4gOgBtYeTizqasaVixIorL6rF/woefMlwUrUnvsikokYNbtuMbdtWIzpG6qakM6+xadv26Mau%20m/Ig44WU6It2ZWcupUamaaKij5gmvVkzbTVM+EHSipy3eI7NmVMOgOXI8w053wBYgjnymEOOg+20%20U40UphQTAmSRQQYOCFJ0U0M43vgDTjn4lBNBCLMt4cFvxUyxhE28aBACJ+1okII3CSGxTjrhmLDI%20IlcMMs0VWWRiii1m1LDGCy+IQoomi5ASCykuTTOIGSv4YAQQQCzBwA536OCDAKCkUEwF2gwCREtL%20GHFHBO+Q4w5Z7cQDSp1YvfPOBj8g8cMQVDgRRAFI7UDDFXKgIQARRDBQwB8AQArpH/9DVEGFHGX4%20AAQpIWgCQg5RqJMOiP64EJqpmoXo2T+qntqqN+mAEEs1JsBy4goq7FaDCr9JmSJsIQCLmglXjKBC%20MzeNUIyQQv42KxCxmDDNCM3UYIx65TXjXHPNmLLbcsxRWy110UmhAmorHDuVCSNEN10N2ogyDX3N%20ZIIumipsswQ8qLRjYAkO0uPNN98IjKCC9ADIYDsKltBOgOpMMZ0UtqzTCIggVnOdFMBENk456oDj%20TQ4maBKPDJp400oK/pSTw38BOxYyiJBxMuuPV0zxQgFmSLFJQbo2k1EmmgyBGnFAaLOGB0Es4QMs%20QMCiwxBNf/PDFMpJ84IRG/R7IDn//5Lj8DfvmIOVLGHByYMRO+igA6RsR6BKBQLQTUQeaBAwRVFs%20cgIAEjJEgUTgsyAhiAchCIIEDqP6M0+rp26mKquPo8rZPyGnUyNqm5uQSSYj3CLK57xdEYpptdXm%20tNPJ2VKfLTUcO4goI9S7ZL2f3/JtcxiVl9EtVWaH3XXbQSfFCiH0WMwItpjwwrTM/VTDdSqIcmxI%20upoywgZWGfy1gQMPfGA5DTOooDkMtxP2ON5wIj21IawaYji3VLeIOkgAIwMwmJQDTivtlIMe5fCY%20PhzjDW+U4IAHNOAASzCL34SiGC9gwCKWoImf8Kxcu9iGKcpjjN5MYxEo8YAttmGG/2oAoRqGIsAS%20GBEELLijCMQagRkGkYIGlYMc5vhGCRhEDnmQ4x3t0EE73LEBO/1gAwAoQwFs4I53uCMCd8hBoQRA%20gMGUgVEVqMAggkCOcrQDB/YQ4x6iAAIQyEAQKShChiAzGcqBBkOSg6OpZPaYccxBHTlQiDA8UI1p%20FINIn/vcTIxjnNpoIgSwkMg01kAf2M2rBqK7Qo9esIhi3OIWn1NBt4pRjBVISwW3aB14yJWR8tgi%20NlPIAq4yURNbbEI7UqAWN0R5ixqsgBM+MIUZupEDDbSChzsEH4HK8Q1jGrMEAkLQ+Rg2lgGZYwXd%20GIEHMOEPEI0jBT/TRDjmoKLmLf9BAwcU1au8gY50XLMxA+RKPDTACIUAAwgSfMEKBiGAakyBgrri%20zjaqNx3uSCEqx8qECVSzCVusYQpX4KLyGMCADZCjFVdTgTRMEIFlnsOY5zjHwBzDQyMUAR0AugMW%20ALCDDTCCbTjgARTd4Y4G7KAKP2BCpIbAADPAYhzXDJGoxmGHcsADB63YgKguNI/J0bFyc0zqZy62%20GW+c40LeGIc6MDELWExpCoDEiQk88BpOxcYTsNCEH2+xHlugtXUq0A0ITQCtF8iuG7d4QVexCgun%20zcYDtJjSlEA5jSVpoiY5C0UWzECKUOjGGLqZgn1UoA3dmGAJmXjBFYwQj//pEEH/4PuGPJCpzBIY%207HwJEi1oA5QyKVTDA+vYjDpe0EFOeKMc4QiBJZdkAiNoAAfwUIcYWxGFFKRABiGoRgqAyRUTWKmD%20mWDRCobCIhOk8grWmhe+lIGk9WznsdkxBUd8wAksdKkaBMhBDI9xBW2sAAngQMeBBsZRjn7jHOlr%20BS/EEidzyEIHsACAO9CR0mpUwwhDoMEOdmADHjTgpehwxwEAYASPgeMfjchBPezwKnSOZpyRmQc7%20mIoZOXbGw5l5auQixzh2JEQQJ6rGC6T0GkTWKq+xMGt5TMEN2LWOPqLIgiV7dMtNrGBYLwBC6u6q%20iQIoUhO10oQwOLXIRQyZFKTw/8EafESKJZDCBD0CZSZuoYwsqEgFUNNADv4F2oH18Jho7qw8Pkta%20AAEIQRBaYDVgcQwbjSMHHiCIFKIgonDQQkhX8I0lm9bVJRTjdabwmQqWkAIscK1OwLhpQgnwgiWk%20ZBBXkAKQjBE0Xd2CPtZ6V3m0sQlt0AetHBkCMDzQJR+4wxwyLMYgXuCBdqCjXy54b3x5OA5ypEAF%20SACjEfLEAwdjAQnV4CIBfNAUGiyBBkNQ6QbsgY7Y+mMc4WDHKKKgI3j8EgTqGAe5xwEZdIpYqSFO%20t1JHNSpwwPup80gHOPShC07IwI89qs2SPXEiUjRDFMsxFq6agSsk6WoFWoVC7f8WUdhBjCALWr0C%20lLUcHH4LywcymEUKSAEEH4RCUwWYMmy66gFC0m4NmbjCLHLgBwcdqIfIRHM5kkkgZ+JcmBCqORJe%200IwrACMWopjldELgsXFoQqE4GzRle6NwfMKEObX+DZuwoIN46GANphCAzjZQBJcMwhjYlZ6xmtG6%207WbhXT5bdDNyY4tBrIABLygGEByGBGkNIsBgbK8LBtb3vh/QCMWobBEYIQ8oSu0pgx4KAwj1tGII%20wAeFooEPhjDuxTTCH+gshy6QMAsQbGAc7TA3ONCJVA+DeFXshtxlvDEPp0bmjlEAhiJNHmOv1iAi%20TvbAIlaAk2mtleDaSWszjOH/M5/1LCqDcCSuRAm6ECjmAI2xAzzqAY+f2kFE2m6FB8ygjOJvYjlL%20aEU8wna+8aFfzTvsIftJW4L3v/n97ejPNLrBLVN0Yxv0kcII5kDuKKgIZU2DwgmJ79HTCryAz9TA%20LQDBkAEBA/CCDcTNFZhBUWABPByAX3TQJsRSLIVL1HGQrsAOQfBOLGlHDQzCFFSDD1xbEAyeNFRD%20OODaDhXIZoFPO6QILKgEKvAAD5CDoQjAA/qAq+XTFPgAzhih3K3SrqyDOYFAbIRASI3GtYGDOJyD%20ZFxMOqxe/FjO6YlYialbZ2gevLlbZMiABEGLV9XGC9RAKPgILkDZAI7A8pjS/ylJx/FxBwd2Cxd9%20Du/wDjeAgIiAgx341AGkgx0c4gFlW7bZhLHwElptwDqAkTckSJt11Gfd3Pi02ftxIsOYz7/UXDlo%20ArVwUEGUohSkwDgcwDisQxGkwBDGwhWswCxmQTHUyxRswiCowBr8lVG8wAbwABYwQgS4gREUBRBE%20ARZsmilAgSjE0lkpGgmWhyh00jQAB3EkB8+03QtgQRH40TSowArwQq61lw3G1/kUVDXgDAHQAlNo%20SQpeWtPgEwEAAc9MQRA0ICnMkAxc1BBUg8JhQekpkBuJw069yhamnheiXomVmDeIA7yBwzlAlQIp%20YjkAgwpwyLFk0grIRO/wjv8pnpIpBg/sFITxGR8UrAHtJAu7gOQ27MIoLEbNhUM5pEM6rM9oQAaI%20IIE0SIPs4IoUhAAOqMPCnM/XoB9osRn7bWInxt8OmUPAOAgn9FIHcVeNbQP0zUH/JAYOrIMGIEFw%20CZcMGIERKMc0vM4iqMkVLEED3AEAONEdqELjGUEQDEHYlQss2YIx6GJ2rMcKLIImaMLnacA6JEZW%204sBVFYMUQAGamMEIEIs0xEIOpE87yENlcpZlGgg+VAMAYAEwrJBl/QB4bZGW9cYqVcDrjIAJhAAQ%20IM8KKMsKAENLoKXLLNBjiMNtFuQBoQNCbsa68SZDXmFBmtg1wR6I5EDQhKT/HQIUuXyktsCO2BnD%20cjzHc5wgb2TBIBQDRvqhFGRCiIiDuWleObBMUb0bCNDPNiyHLdzCL6UDOhhTO0SAMJUWaOEcJzZT%20fcoZ/H1DBEjDNmhDB01IuUiBCUzVHMDDTJYAPEQAubUDPIzeOYxDrSWmLYiQAKgEFvyADrxUA1TB%20UuBAFLwAFEhBbkCBClhLYUmMKKSAOhCmtoUDudUcua1iOODAEHAXR2TBFbQHMNScg1RmgWAmPXxD%20mbSCOXAFNSyBKuSAmxTBBiTgGhBAa0Cp2V2BCjCAiiEPLl1BLKRQBSxCFBzQAUBVFd6mZ5ATb0KG%20b24huwnnOphiMyjDzxTE/0EtGxTohi6WZHlwgzHcmBRYi3d04BpcZ7JkwQj0TkZsgyboQ4RB5GKA%20QyNE2GaIQwgUiSkYXA34wAY0RmZ9jX6CVjLxEA9tIn7B2Sd64jCxQ8aAi0dKQSgsBrm9aDjoQz3o%20AzwsaryFgPKUUDMgQTjkABIYAQOwiQ+8EA1MAZFJ1sQE39CtBxRUIBa0Qg54QwRASAREwJ6AABJg%20ASbsERJggh+0QgjwDEVdAYCBQIMESM2hmXudQzVIQw40xjjEAyoYQSwUANccQDkAwArkYqIVwwLy%203jRoQhSEgA8AlxFogicU1BVoQohdCEMqJB1FjpquabrB2z9gi3SYopEgVP8WZIHCgdIIiF11ZAef%20xhJ2TEcuVkChuuYaVMeh7sK4hQhEmlvNegY4aECVUkv4rQEnbMABHFPNjeoxKYg5opkziVbSCgj8%20kYNJzFLuLMssesA41ANCIMQ9WK2L1myZVMc2pGI4HEAE4IAOAAHOFMUicB26dIvB3YK1KFYFeIAE%20IkERxMNlXcUGkB871UlYtEIEqAM8aBNj0gIt/AC1wpw3fNFGlUC2HcMgaAA4wENjNGgOpEAQpABE%20eUMUXEExEADnakMsWG04BJcHzAEAYgHHpQYsPCyrMCSaLlXFplvHgINHYsQCjgAXMRvOfCwrIarB%20hct8vA5BmMHHdi6RIOf/y76ABihGiNRszUKkOmiCz+3GY9nCCzRpDjklfXqWMpnj0spC0ppPgDAT%2095YDJ0jBkizBOqgvYoAMQkRureqDrMpvOejDHNxDrPCODIADPchgOxiBSzjUBC1CLKyAKVCvchRE%20BcECq/2AEVwuDmxABEswKORtPMhC+sQDCCTSMegKi1RDK/gBBVtFPMzfMXmDH6hDviFEPfSPAaHD%20BgDDWOaAOYACLzDA4GmDB5RTOcjAEGiCN3qAJgQBsLyAJoyDGHphxMLRxKoe7FqsZ7hpM2wDN5ii%20KEzcFEyBwk0Bi2Rx8ZSHsTCHp+WGT9SAYw7JNNSiz3ykFKxCQcKb1iJE/7mpwwqUSzOMgCaYQAfB%20QhG8HDmMQ2exXzK9X0fJp32WKmkhyPgUrT/MQjOYQA0AA1XtlvvGcehScjfB6j+AALN6QPxeRc2k%20UDVQkFF4wCAkydvBUhYEQREMwQvsTfNsxZ6ExVU4TJ4ACDmAAL5sw2988RXAwhGFkTngQN1yRSvg%20Q2Jo24GGQ+SWHjnpEDAswRJUBTAMHjWBCFC9Iiyo5gNdQQrs0TpcCKM6MaqkaROPs4jNgzZJMaKO%20wBQQgDq6s94s3RaP0s9EXTOYoLUMgsRt8RYbKu3ewjwohouGgzokxotSlToIwwjsgi2sAAgMSzdv%20QIPokDGFqsEULdHKn/99loAsfGKCLC33gsM6fBIqltsyY2041ANBL3PWNoS2sWImSAE3ZMI6jAM9%20gMMSABiLPQtwTMEg2IIprIFZecABxEPlFcBdFUA0M0IU5IC18gBZxFo7fC+AGEFBmAEuQFdGGAFa%20xMMdgIK1WmsO5MBNj9s43INP1cM82MFRIa6RAgCACSsAHOstDEE5pUMrDMFrqEP5piKrZIg5jzMT%20K/E5h0aE3QhGHuo2rAHnqiMBLJ4llc6wZMIa5JgZmN0mtN1atbMsZjFULHZ5sAK5GXRilLZBF3RB%20V4PZxQImuBIsaABEfZFmeY8iWzQPNQw9LMwnQohHj9b4EGX/hMPrSIH/DLR06M6BJYdu/KY2VQUb%20uWiA6I0DLACYlrXEsFyqGeBKNawyFvTFEAxBAYS3DMBCU1zdMwGIw5SFPCDBuxDUyUXHogGDOeTA%20DzhMg0ZAPAylvBo0VYVDWzfCSnsMObSlESABBevAoK3BEviHY4hiNXBCBGRb/8zshVAs7CakYXtY%20pG5IRnCgCgzaFFSAPF+BUAwai2VxJsBSDVSAwlHcC+jNkvyVawbNGquA1aI2Qpx2jsuAQ8uADKjA%20bGwADnwRuq4fw9x2My3MbiuTR0MI/JHWbotnOEgFJ8Sqjif3gR60cifEayrHFBeEDDCGPoAAgAEB%20LbjVFTTDIPyEPXlA/1KXtxEUgBHwAl3CxdqU90TDiTzwgDm8gw9tAJJASUH1jM8IQDz8ACNsQAQ0%20gA/KSYCIiGzxwzrUwyiMAkIbkywsqTnwwB0YAQtdgQc4MACNgzlkJWd0mE5dToionuU4MWFreFJB%20pCaXx0eaQgWoZQw7BVGo449QFoybAQfmKAqlBMWp46DV00fWbgqsgjqMwo6XNmGqg/JqwjRUybHU%20ACyIRcL8UNEyDDE1DNJCE4TQg0ePT4J8e8hog/3Iq46H7j0kN5erwz1wQizIS8DFqfEor7zKALTE%20whKYQLpIhRF4wwYAa3kv8FjOOXgXQBAoPBKkjw7B2eF5w61oWShAh/925CIwIEGfJFEEmMMBOAy5%20vUqqzMM9PPs6ELMUSZEsxIMRxHAKIAEqBIEGmFaIPEakXk6rX87DDnaqXHist4o/hENizmlG4DoD%20IMEdKJFDEQUFDZpvrMHEDJqayN2xW7ssaoMdSsE0SLtBq6/6nrb6hsMsVEMmmJ1UmAIqQNTEL+19%20EozBLPm/OMzb00MEKMjby1/NsYwymIBQhq4yc3noyrEGyAApvEAJSccVeAL/qEMKnAilNmYztAgW%20pA9bKvxYgrecjyXny/lTA5EOSTxpTAEcyrQCcmB5Fxgw+A0jFMEdpM+1lRPLhAhw+4GbXHCAREAO%20oAISWMXsSau5KdD/ZrDDZEysq/98Fwo9HF2IOqxxz5gQUQhAAeCAEQ3BPYmyK+PTIKwH180KZWEa%20jF9B46rxy65AyoM9i6p/+ocDMOSOKKGaGVgFJcZZMw1tzLWDbjeMOVAiQNAzZ+6bnwglSphDmLBd%20uxLf/I275SPcuHARLKoLB2+UujnhQIYEabGiPpAapEjZlnLbiCAV7a1LYWrQtim0YKWI5+6duQLU%20YBUoMGSIkaJDjWABwGsIoxLknn77FsEPvFihpqlcKWXTJhpGfNAoYEToWFQ/wpHz5g3cOLbn1n4b%20KHeguQg5OGGJgM4PJmCtDqz1N/jfP8KD/RUmXJhxY8ePITseDC6x/+HIlzFn1vwPHGd/GkSp3LRt%20E9dM1V5cYaDjAKghDIAAuXJl0ZQKXa/IZuAh9gvfL1Y027aVuKB1x9epS75cnfJ1o0KoGDFCVI1t%20xTb4KTe3LsJyCaUqbGduPL0N5AZ+JxfPj0LxC9uVYxuuxjQQycfBax5yDkmRITWCByRwUBJFuExm%200SC5ijRY4ZYaTMBhAySAGQIYHVopAJYlfAgqhCHGGoIpYIwwghdeOIkngnha2QAjTIC7xZN8ighi%20CgaWQGIDAIzYwShYgirRCA3KAQcdtkoo5xtvyJEKPSXzyyiCb9qBJ4IN8AnHm8oUq4xLyzYLUzLE%20FBPTzDMbo6yzdf9GaEaFZkxZyZbcqmGAgQKKyMGHHZYwYZFqBBgkJQJQg40UP19ArSYpukmJpUxk%200IcV5pZLTrnmNGlGCjebqeGKVuIxRx55BkrIVIS+Iee7dgRqBwleIvCmnO++iQcfcsZLaKB2xinh%20nHLUkaKGW6rxQJMUQMjnv2UBVMekcNTxYAQTbNmkmVmgnUPAWGxpphgNxonAyng2yJNEDTvssABN%20xgImBWAASAEJLEBlL551/PBhmlBG4McOeKK4ApgN4iliXgAQRjiFhUlEIta1vPlVSSZVZXIct/wp%20J4Jw6IlvnFm3RIxMNElmbDIvS04ZM386Y/kfGaRQQYUauNqkmD//F1nkhQKwMKIIHxgQINHbpLgR%20NSBMuKIa1IqhWSVGVZLhvnXCQc7qSjXiJLSUmmnGBA0iUFLJUmd1L1XxIhgIExnaUXW7ckCV6xtZ%20BEJoPLg02EabYpq55YUQZqF6I2iZrSicOTQaBwRlFvGgBlOk8ACeydUJogYVjAEBHhyaw+EizuOx%20RwMQsAAmCBlMByaKezdQB5921IlnPz9GAWGaYnYJZRwc4NHgih0iWBGHdiTUIIccithgA3tyCCIF%20TGL9rhy4kAQnyXMkPoeetH0tUj7KRlaZZJHLFN98k9tSjBNbVLjFUSnMUFo3oBmoEIglGLgik0HW%20qKAYpBO1hGqY/yA4W3kfLNRxj6stEDnKMYEytqGp4SxhA28j1XfMMatvgEdWJShPOcgRgSd9Zxw5%20cIh7TuWQLXEiZivwQA4qkhGN1MM/zNKIOsaxDg/cIgsr2cYtNBAOcBRhWFKQwTjmgBFzwCM/6rDS%204ECHg3jE4yL0sIfsYrcOKsauHRqIxQoy0QxjaIB3SLjCEOKBAxxEgHftOECV1AgPc2xgFgtDRQWp%20541vgAMufFzLrOCCwxL0alZ8ZMc5uBS+862MZShb5CMTAw5M3MJNw3HUGq5gAgZoEgiwiY0RlnCF%20Gy2hGDf6UyyAsIhjmIElxGkGCNShi0ox8DjqAEEs3HSLmQknFv+tAKFctpPBJGFwSeQZz3jSkx6N%205YBK7jnhIEuwFhnUYBGwtEhMPgISxBGOmxpplj7s8QpNSGMbNAvBODgxgpnBYg7+UEcjLnaPcdjh%20HvUYxRzuOYc55KM5WIyAR6iGwxuqYxQp2EUm2teMIATPjCkInnImd7hsbkRZ7WgFCECABBBoQB3T%2084Y4KPOrcdCDHn7wAz7ooQ8/9Goc5wDHSxdjmC89MjLkAxNNVQbTloXAOo7aSvxgw4BqLGIJiwBC%20EKpxhQpMYQUVeEEsTACEpV1BBY0iTkpWsAoFHUeWtOToLKSgTje9qQYeCNXY3jarJCGEHKryYAZn%20hY7xeKME4Ij/Rw7oWhdZODOa/hDGFUAAknWMI0DQ8iaAQHJDkTixIjnIQjcgdwthDKJvJlgHOMJR%20DjvYAaSNoOc98MlPxCkHB+vwXHP+2Zz94LBBmXBtCATRCitFoRo7CJ3nsjkHHOhWouIKRzvCYQ98%20bGAdragltNaBD3z4gT0GUYcf6BGOlX7spexYzExx+piTlS+7JOuMTL3RiHCEZjgGlMIgXoA0E2iy%20GqlMKi1YOYglxGIJRd2fFCD3PinsIgjOoaXVFKQBE7yJwJ1aQjzaNhB5vC2DZtugMeXSkHKgwz05%20ICmuGPKQcnzMG+EwwhQwcREc/kcj9+jmYg+rkTmsIjg1oFkz/7p1ixxYhGV8fKn1xvGs/SRWIwFt%20xSqqBq1R6KMR98DFQZvhCfHmg3dYYIARPHJDfoRjFIXbGK8uRuLDhuNZ2hQJdW/sJex2t0vXJbN3%20y4zZTLi4p8ZIySZUkIX2zhdHdooFLAQ1iFgwQGcrsIV+fdgMTBRBqw1U0KRoqY4QdCoT6hwBLDZA%20D/Q0WHqmOqF7MF2Xtm6gFXV5z3vA4Y12wKIYRQDHYEcskiov1rCKVWw40mmCW5TTTVKIBfjAwQ4/%20ioMt4Nhwq1XrB9XecB2NIGhJNNE+FSjDE+GoRxIjkIKj2kOfzblHlVeNQ31kGcs1LNy3K3Jj8HXp%20zNptJHfLHf+mxJwbsy+gGa1rMJqU2KIY6fXAEngT1WpoahMvgMUibhEnlvhUCrZYx1Y1sFXkGNfQ%2061iFLW0xjRS8QBTFiMUG2maqUikEIShMSDDbOh500AMVItxe26akkAi41BvRMgE9LDKri2W5cK5e%20rWE1IQqeCmsTNchEOPyRDpjCBTHYA8fGmoOP5gjbWTs2cZXHcQ9BNFoUMtPEONKoRkX4IAj2sAew%20q9wcfQgoAmO/GHBt+B+LPGvmFxM3ZcidbpONbMxyr6lh4I7ZVZCiUzKrgS3yyxVbZOIKqARCLKqR%20ha5sIxOLKIZ5HVUDbuA34cdBuFeVk3BOqCAFmiiGKDIxDRP/ehqFG//GqhpSqvGUox0lp0dC6CGL%20U5mjpeXwRzyuMAuLMLHtbZentxPLLA2QYhpZ2ZQUVhD0eaQj6Ijp9a9b7Qcui4TtbRmFBjSRiV0Y%206M8eOIAa1agDIOxAis3JcUagzqyNpT0kvf9YI8oB/zCTKaZy3+5N7Z6ZyuTdIvNYhwlqoG+0QTRI%20o2akYwWYalEGTisGLoKqQROmprhYIeF0oRVYgdAqUJZyYBWK4DhAoBpGgJKKwQwGQQO0Y+NmjyDI%20gVTagSpOiPVaAQlaQR4EYi7SxiHiAy78wAOmIVzGAbM2bMPa4sbcj+aWhffQKWaOTwZYRtcGI2Re%20ygilbyPc/44I/WEUZIDixKjgJiIKUiCIvs8GGkAHlmChJgce1oEVgGHHwA2xBmokwOztwGEe5k9k%206q67bOoO868xxKzG0gGeQGAF4m0bjEHg9EveuCIlIMeAVoJmIAeBOmKrdKEIKk8DJvACtWoVLO84%20QgChpCMTtsEUciAeJq0uvuPjpGJVIqAVWqQVcgATcgAHQqgEZOHSFmJK1oKFSi3LZO4H1eTtfnDm%20DGckKoKGQEIGhsM6tsEMQKCRRIYtNowkNmbmvGfcWAEUI0gUZi1mNMAb7OCNpKhchmD8dAALUiAE%20YMEDSCGI2kIY/UNAgo+b4FAOndEO7XEP708P99DcJuNwcv+gGqxDUwDNpxixAR1l8iJHHS5Pq7Zq%20FSowwNahAq1GHVKgb24hEwCvBjghbEzxVD5O9QbCDwgmjdphKsihFift0uhhLdrhBbRBIy9GQGYO%20fETmF4mw99pCHTBrDmTAa96tBlagGeeQLZ7P/YrkpUBKTbxhFgLQIt3MGGqAgjQACVJABnqGBu6n%20ADjECIJgo7bN9tqiSODpYraNGL+sCufwHsvMHvWRpvJwHzXjuiajwzSAEzxAUN5nEwxxAX1oLy2p%20GTxgFl6hAzdKAzpwAv8roPYDE8KoW4alGXygBklvIbijVJ6iFBVCHloQhTTTVGSlFWBsGiwrcUYC%207m4KMWz/cghvrBzuQUA44QU8oGka0RZSwA5cChg/5ihfKmRcqjDGQRO2wUBEwRZqACptwQxC4AVO%20xwdGBAB0YAPgAR2OhGW2ZEsogw5vDP5+UDvbTtzIZNxMBjIUKd3yES7RROjKwbBSQBCTsSnLC/L0%20a+BoIQSEARgEAQQwIeE48OAYaNgIy7BiQRlHAyjbwR7MAVca7JkyrS4aIlc8TfYyk1eiiS2MYBsG%20YRqGRLUswhfjbi3l8KXsoByeRQMEIQVUQAoCjhvK6p16LQqLpMbwDn0GA5dUwAwGr1pMwEC+MAda%20oaO8QTqlMx1C5gmp86Vkih2wsxFa1DsVaTzNUzzp7knN/wR80jOHgGEa4IQbTME6lBHyLEm/6uMF%20TIA+kSUK8lMDNHHYPKLVLgaHCMsEtnRT4qQGXCQ9PEgeHswU3WNVNO6Y9EpXvmElW84IpoETMCGg%20LGVATPNLarKR1IRlflAdOEETYiHgpCCMHGUFUkAnHZXdvstIb0wGBkHZgpN9NIE4sUAjdnMthBRi%201jIP7XDu2JIP2/JJy1NK1S2SPub6NGEaZmYbVNRpCNK8yosbMuEYGkcYUsBQE05BVAsOTaI7X2oe%20QCAEm7JTpCAFDiCDmoTjhqnBPG4hPMiDGlRc2yGPPrC/oswemuMj3G7M2NIfxCEdxAFS80MYRmAA%20U0IZbP8hFB2lGrBlMgrjUyMJ7zhhEbRBBaruzzRFFBxHGzaVMsSB16pzLWRKLWG1ppoUV/UvSjk2%20Lv3BugyDsDQgBWKB4mxhG+NTJVT0FnZhBXwDFoSBEzihMJ3jWakxDnFtMGRAFHbBGDplG2xBG65g%20jSpmgxxiwUqv4zbumPZqad3iHFphwBTuuBLHNKE0XoXOH2LII1aBE2QgFkZAJQJOBVT0GDb1B8Gk%20HcMBE0JgbJVBrIJ2JfpGCl4gsMABpBDJH6pz3Wb1YuM1Xj9WTG51cC9jHsrHH+ZBRLWKE3iBUk0g%20FmKBFDyAFtQxcj0gBGQAWUAgBxoIn9gQLSejXscNVFP/YM3+ThtgbAQCa1cULCFIBQWX9q1Sz1RA%205hzCwRPQC1GTY7TeNTyzFjHqNSlJIloxKxZCsVNMIZdUwOJCIAVmoY5kABaAQzgSysUiCHuFFr0i%20Vl6NtG/9VnBlNXAN10zesnwzYx62ZB5OZjDEIcdoiOaagzn2Q57qQR827CtnUqfEF+8SYx2mYVhW%20wAxUYBCAwBxkMWzwVOMYePYcFAXXio+AYQS2AQQ60FJUqz9+MJE2AzWZrx0vBYeAUyV+0k1EwUC6%20plN6ahtUYGitwxRO1DqgUhReQBNygFMlFpHAF3Drj1ZtanwMt3DRd0xiyntrjGX29hlX82JmRTcH%20tjPY/7d9PcMeYWpgWYYTamA6RmAKAjAHwuYpTnEyS4/jjGlXhqkcxOEcUCLJkkOW1JSJqlim0IQI%20DSc5OGEFRuAYRIHWCjGCZKZrWtiH8Ms63kQ4ImgXXkBqwsEOvEFIrYswQmZI/7Z/ATdXg9hjh3hM%204s4ek5hvwUHoqpOP6JUw5o8ytqSSnXQc/LYwdOEFboGHmsZul6htmoSBydiWa5H0mvgc1EEQRwBb%20Qvi47AAp58581zbLkqNkZYATYkFYmsFa4qSPA3BOifNymkEb3WQaIDBxbC8dmI98wJd8x7eHzZec%20bfXc8C+TX3Wc6c8fkvgynFGOpxQ8CyMcKrUY9scW1v+ANr2BI7dDVzDtmWoRB1lP5tKhiWPBDMxg%20BWx4dKLAWZ3FF+XSfBcVswjr4DBhFniBFC4ShdmMEGVGaA0ke7mhGaZlDYUI72Dqb9UZLs+3pdfS%20h2O1kuF5osuZUeeBE5Qh9Gyhp00hCyoIHpKkBhki9jAtIXLZY6KnkUlhEGrADEYgFlAnBV7hoanm%20RWeqVjVZpesBWjRAnGJhGqZDBQgRWzdlZjLBfVz40YJoHtihmHnYSWGaPNFZq3H1h/HQfPzBBRrB%20BIQFKjdlE6ohAnhFPsjjIFKlBLinXMfDLczhHNIBHdTBBwbhFgZhOq6AFGDhWECAFXDISBdpZHyN%20JNb/AQRSQBigqhoyQRTEKk6G40RNIRM8AJYaIXxmeq459qVxe7e7BBxSQDTEaEttYQnCgTzMQSAi%20jFx1pW5YJT4gJhzucgSKYQWyoBimoViel6Pg4cbg+kzkkkvEbfdiqS6BwRNCQBNCIHPR2wNkgB1d%20hqbRjbdduq7lu77nMAUCMBQ3ISO3AQjogfVwsGPsBgcD/GFkRR2qgX9GwLWmo95IQRisKe/kWt22%20upgpQ+h0LRg34saEDmsHtr7RV7dBXGNp9e7k2bublH1TIDSG1hTMYFi24Qo0YEn0iE9X5fUUQj68%204WM4YRtWoBjWgH8S9iJNgBeiYLA8XLvQpIix9jBQ/9O6aJId2CJkxxfuUNOcR7zchDjLVUbM4ruD%20GXV4QWARNsVGtcEMXrIYgIHDiqSRo6mQQk1WJCkWtrQa1gDGumYEQoEWOIEd8VCuTybXqDjoKGOY%201fLEudw8RTzRgVie7foySHcwoNuZZeY4pcEMqoEToinOQ83XZiUiMOEua0AbToOSAlDPZAAT+mNR%206w/Lx6fJG7Uercu6QqZ8QHvCGZ3MtjzXDZd9xw26u2ZoVUB1X6wY+Hyw3EKIwmEWSE1mtEEUzOAW%20ioE4iSW2ftAb4trVu2ulyced6/G2ef2czSzcQ9xT58AE+k6CHmd5Q/FCleYFMsEMfNwDVLcZRrVr%20Bv8h04NouyjZ/swZVnGd3Ol6UQW+fCfjuxhkGvx1Tpc3AM1AGkZA8syga0xBE/y6G/pmBRYBcNZh%20uw8+yXdb2wuersd95HN7MHoTs9RBBoJjU1ysGbph1KubS5+mGJDRDKYhBPrcWWT90efb5DN514F+%20H50RpCJCHVpBEF6gad4NThKqbyruCl5gGgaBFmDpUy88ZKv4vU9epkt86BUdk8F+vmmyLYzNtENg%20GhzEEVVgGowFGDjhoRWEE1S5xgRd1x7Zyz/W58ceH+m77+GyXllG8CMpHO5hAh1aA3pUHXCAJDDm%2001+0MD7qm9dtXusV8DG/ZBY988/M2xGDfRFXjkOjFjG+GXwpHzXXWe/rG6853y3PTeRbP7QDXva1%20HfZjf+hZ//bnO3B5f/Z1//fj0sr7sPeJv/iN//iRP/mNX6YPPWWU//mhP/qlf/qpv/qt38l39lGd%20cWe3v325//u9P/y7f/zBn/zFv/zR//zDPzXDux2L8P1x8kPlv1PT3/ztv/7xX/3vX//zHyD8gfMn%20kODAgggPKjTIMGHDhQ4jQpz4kKDAgAA7" height="228" width="363" overflow="visible"> </image>
          </svg>
        </div>
      </div>
      <div class="fig"><span class="labelfig">FIGURE 1.&nbsp; </span><span class="textfig">ERP-60 transplanter machine.</span></div>
      <div class="table" id="t1"><span class="labelfig">TABLE 1.&nbsp; </span><span class="textfig">Technical characteristics of the ERP 60 transplanter machine</span></div>
      <div class="contenedor">
        <div class="outer-centrado">
          <div style="max-width: 1160px;" class="inner-centrado">
            <table>
              <colgroup>
              <col>
              <col>
              </colgroup>
              <tbody>
                <tr>
                  <td align="left">Total length, mm</td>
                  <td align="left">3,100</td>
                </tr>
                <tr>
                  <td align="left">Overall width, mm</td>
                  <td align="left">2,095</td>
                </tr>
                <tr>
                  <td align="left">Total height, mm</td>
                  <td align="left">1,880</td>
                </tr>
                <tr>
                  <td align="left">Clearance, mm</td>
                  <td align="left">405</td>
                </tr>
                <tr>
                  <td align="left">Weight, kg</td>
                  <td align="left">662</td>
                </tr>
                <tr>
                  <td align="left">Model</td>
                  <td align="left">FD620D</td>
                </tr>
                <tr>
                  <td align="left">Kind</td>
                  <td align="left">Two-cylinder, water-cooled gasoline engine</td>
                </tr>
                <tr>
                  <td align="left">Power / Revolutions (max) (kW/rpm)</td>
                  <td align="left">11.4 / 3,600 (14.7)</td>
                </tr>
                <tr>
                  <td align="left">Displacement (cc)</td>
                  <td align="left">617</td>
                </tr>
              </tbody>
            </table>
          </div>
        </div>
      </div>
      <div class="clear"></div>
      <article class="section"><a id="id0x5ae9300"><!-- named anchor --></a>
        <h4>General Methodology for the Elaboration of the Seedbeds</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <p>As established by <span class="tooltip"><a href="#B10">Minh (2012)</a><span class="tooltip-content">MINH, R.: <i>Manual técnico del sistema de siembra de trasplante mecanizado del cultivo de arroz (Oryza sativa)</i>, Ed. Instituto Nacional de Ciencias Agrícolas, INCA, vol. 1, San José de las Lajas, Mayabeque, Cuba, 2012.</span></span>; <span class="tooltip"><a href="#B6">Guerra <i>et al.</i> (2013)</a><span class="tooltip-content">GUERRA,
          V.M.; DÍAZ, L.G.A.; CASTELLS, H.S.; LEÓN, S.L.E.: “Proceso tecnológico 
          para la germinación comercial de la semilla de arroz”, <i>Avances</i>, 15(4): 406-415, 2013, ISSN: 1562-3297, <i>Disponible en:</i><a href="http://www.ciget.pinar.cu/ojs/index.php/publicaciones/article/view/121" target="xrefwindow">http://www.ciget.pinar.cu/ojs/index.php/publicaciones/article/view/121</a>.</span></span>; <span class="tooltip"><a href="#B7">Hernández <i>et al.</i> (2016)</a><span class="tooltip-content">HERNÁNDEZ,
          B.M.D.; DÍAZ, L.G.A.; CASTELLS, H.S.; LEÓN, S.L.E.: “Adecuación de 
          sustrato en semillero de arroz para trasplante mecanizado”, <i>Avances</i>, 18(1): 49-56, 2016, ISSN: 1562-3297, <i>Disponible en:</i><a href="http://www.ciget.pinar.cu/ojs/index.php/publicaciones/article/view/147" target="xrefwindow">http://www.ciget.pinar.cu/ojs/index.php/publicaciones/article/view/147</a>.</span></span>,
          the fundamental variants that affect the quality of seedlings in trays 
          are: substrate composition, percentage of seed germination, seed 
          selection, cultural care and plant vigor.</p>
        <p>The methodology used for the preparation of the tray seedling consists of the following steps: </p>
        <div class="list"><a id="id0x745c500"><!-- named anchor --></a>
          <ol style="list-style-type: decimal">
            <li>
              <p>Sifting the soil and other components of the substrate</p>
            </li>
            <li>
              <p>Mixng all the components of the substrate relationship </p>
            </li>
            <li>
              <p>Chemical analysis of the substrate relationship</p>
            </li>
            <li>
              <p>Depositing the substrate up to two centimeters high in the tray</p>
            </li>
            <li>
              <p>Moistening the substrate at the rate of two liters of water per tray</p>
            </li>
            <li>
              <p>130 g of seed are deposited per tray, at an average rate of 2.4 seed / cm2</p>
            </li>
            <li>
              <p>The remaining space of the tray is covered with substrate and it is smoothed </p>
            </li>
            <li>
              <p>The substrate is moistened again until it drains through the lower holes</p>
            </li>
          </ol>
        </div>
        <p>The
          trays used have the following characteristics: length of 60 cm, width 
          of 30 cm, depth of three centimeters, diameter of the holes of 0.3 cm; 
          number of holes, 105 per tray.</p>
        <p>To fill the trays, a semiautomatic 
          seeder designed for "row by row" sowing is used, which allows using 
          small quantities of seeds (naked or coated) with any type of tray. The 
          change of the seeding bars and/or the nozzles is easy and fast; it 
          allows the use of different types of trays with different varieties of 
          seeds, <span class="tooltip"><a href="#f2">Figure 2</a></span>.</p>
        <div id="f2" class="fig">
          <div class="zoom">
            <svg xml:space="preserve" enable-background="new 0 0 500 279.176" viewBox="0 0 500 279.176" height="279.176px" width="500px" y="0px" x="0px"  version="1.1">
              <image transform="matrix(1.1442 0 0 1.1442 0 0)" 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QR2QEE+m%20IvERcCvCLo6BjnOcgwhfCPAXiEDgc1ThwFVAAIIPzNR98pMQYhgU9t4CzK20wwupqKMVGiGIPjoz%20r3lNLgCi+YEPSAMELuhYuLxS2Hdw83s11cQLWhCLB8QCDirQAx3MkYgMJCICiYgFLhpQC00k4Aer%20QIIh0lCGBNAXFb7YZxl+oY40vPYY62BAgAH8BVt8gQFEOEc6qHqBUSADtVlgQmqfkDZfIEL/DDHY%20HnDP4hcRcMG4APhAIxqRXL0id8TNrEAXpMEFayatKy1d1jusVcPwrYB8iRDvECLQBhxA4gUvsMQL%20IrAAbCzAB0PwQ0FXtgIhLCEBmThZAyqZCA6UghbgWweBEfAMBJyDAf6tQimEwWseOGATI4hBQ3lw%20gANAAxq+QEKc8+NWtDihBlzQRQX4uGcPgxiayd1zI/woDQ+4oB2RGRmzJjOPQHjve7R4NA85sIhH%205OAABmjCATJ9hjOYIAOL4EUZHuHON3AgAUuog8CJljL0CYEMngCfLQqMgFvYGte6FgYnQjGCSBzB%20Ab52gBn4IQxoDMEXR4gws+0yWKnIQxnR/w3GtlcOAJNCE5ofLXEF+tiI5YJAHHqRDItnA48X21B0%20O9hBBDjgAx8IAQwC6AMvFIHFYptB3uodwhH0/QhefCJvBaVCDvOwBDJ08xi2CDsRcM2AsK8DAbue%20+AjYXAcHUAMYwthHKI6d7BjEY1HNPosTLKALK/DRjzTXa175mkdB6HHbffQACCqRLPq4+NxlW4EO%20x5GBoltCAEoQwDUUYQlKHEDekDhALZrgAFDkARdCyIDUc4CLQeRBAp8AQwRWkHCwh90WDMj97dHO%20CU7wo+Iry4Pb98GPUPS+DMq+B95JjpYBgEAXHfg7y10ueOR2oQt9bGYXQKCACWNFkY8hgP8naGG2%20VdSBGmfoMQeOIAAfCEAAC+gDHV6gADrMO/QHsLQDmiB8/kfA9GfQBzlADH7wBJ6ABVgma19wDrYm%20dufgAxPHD7PwBGMlcJuQB2ZgfJzgC0XgDJcDQ3NRYVqhBiF0eIA3Yn0VTc0EA8pkUn60RzCgC8PQ%20Di3CFeJxH4GABF21C6uAC5pmPqdmAkMgAGCgBIqQAjjwAmFgBpCAA2GQBwcAhfzXBPynB3pwACQQ%20B5OgCBxAC0WAgFmGa1/QgAvHABAYChLIZp6QNhxABRkocRwYAy8EgnNRclExBxYgDXjEcjB3VyLl%20TFaQTILQBX/YBbogDv8QAiAiGPAwAkf/kAlI8ARtSA0H0Ad6AFSgUAs7wAI9QAwPAAVoAAZnkAJY%20hAP5V2xNgANBBQmQoAB9oAGKQAythAzgcw7r0GVeRgRhxwBVAIG+F3DCpwdtoEUOMHecUAVYEANR%20gBp1IYJZUQwewFzP5Ed9qEczBwDkUAEdsAbJNI0A0AUWcAV0iEjvYAcGUAZp8Aur4AeOQA3umDBF%200wbZ0FODAARNoAJjIAEZoAFgYAKZBoWqyAKgRw2wQAlGkABdiAjek2W46GVmhwA5oA3awAk4MAgB%20xFAaFwodd4zIwAPOwBdzZhYd4AFrMG3W5lwuuG0wUA2YwAwe5UzNpAsW8AedMhnmOAOP/yA3xNAA%209QZEsZAHu2MGw6hFvpMNtSAJEfAAQzAJnzAGiXAGB5WKOECFCMUH7FZ7t7eADDh2COALPgAN2gAN%20nCAM/GAGDuAAB7AJvDYOkfALb1AqYNSMdtgwukIZzdIQ1dEbhpEXYwQkDQMkfbIbhNEqH2Rc16iS%20Ljhzy9UNp1ADNcCNL5h4XACSO0duIzAD2DADr7AIcBAGOGAJYcBuHLADB0CJQtkGehA0Q6MHkHAG%20Y4B0EuBYsXAG5tQEoxcG7HWAtmcLWbaVYeaVx9Z7cXeWobAJ48AJ0zANpfALT1BI3vcWc6k0suEn%20tQEdgWkxq8GXehEPkbE01bEw8OCdxP8BD4lREIQxklawh4hXUsqVVx1QAy6AB8zACnh0gh5wBR0D%20IpMBCG1QBKiACDpACwlgCZ2gAf0gAJMgAbsDhaCZBwvlO1rUBlxkAIPAAnzwioqgBEPwAGNgAlQA%20Bwh3ATQgdmKoi7NGVUcgW0WwolhwCemQDrp1W1WADDFgh2DhjCOhIOtRHL4kEHpBDxTVKF4wpGRi%20GvVwGsEAAiWZZ+v5cnkFAIwpDniABx0AUoEnk89pFX5CG4FQU0VACz0YAf0wCVcwCZ+WCDuwUFMA%20CvyHUE3AhFv0OyOQDQYABEx4AD2glDZ2Ogk3omV4DgMmdgiQW7r1C7qFYAamW75wYDr/cGg1WFEy%20oaOfISsfAqTs4qNF2heFYQ/cAAQTAAEksAYg0AV+52GN4FzQBACCgAkdEAw1gAfcKAgrZwW6IAJB%20aoMyRAAXAFuRRwZgcAULsADN0Aw5MAkCADN8UAuSBQqsiIq1oKyzxEVaFG89MAZjkAAJ0Ke4l3u6%20eHtil2WyRgQIgABgRmAMgABnhwBZEAP3ICZ5tyN6yYwDMSIJIakEQR+HUQ/6mi6dcaQZ4wUDIAVB%20QALDEAfDcAJBAAQDMAckSVI0V3OoqqqYMLED8GzGZQUtJ6rDsHxfAUZd+j1l8wMJ8ABKEKw5kANl%20kAO88ACLkAMLQAxQEAaQQAdAwIpT/zAIz0oHWnSaZoAL1QoGP6CtDElg3rpwBHa0z7BlYXdr5zqj%20dhAPGxSSFRGv8ior4oIi12EQ9RGv/NoOf3ADAqsFGqABw7AFQTAAA8AxfsE1NfBBeVRtgUZiIiUI%20FvCeeFBcKpdHhJYLHOsVg8EDnjBTj7QCfiABrWCmzZAJLssLxHqy27ANM5ADn6ACVGheONsECsCK%20kKAHTdADPQAGN7MKCodr3Wq0R3u65zqu5aq6DPAMWRAA8hAOTvCuU+sbBKElIpIR78A1mqox7dCp%20sHACBasBsJAKQMANgZUxGOMOYlIJhZln2VdSTsqCXRAM1eCSx/VRwaALXFAAcXk89//qYlyVWD8g%20Xq3gNo/YDAsQO9jQDGWwDUMEvz1gAKAgCVSQMAagB2ZABwrVBJJQrQ/gB+QHdrjmreYarkbbug63%20urc2rjpAD+4gu1JLEZ1xuzzqLhnRFwArsCdAAiIQB1vgCgUwAEeKNVlzwieMCR/EXH1EDiPlXH3V%20gsFQvX1Fq7rgBe/wqFlRINvDDuaGBbswfn4ABuKgCM6zAI+YA0Q1A7ywDXLzuL3wCkuAA3lgppPA%20AbhQC4NgAHOaDRCQAzPAAZpQBLZ4a95qaw93tLa2ZeV6rlpWBW5gBwtEuxQxKgj0H0rjLQGgHbxy%20SAMBgijsDlyTMfYQsEGgBXGgASD/PAEFwA2dQZkMwSvFpAsl+aTYJr2ANnMbpslWME1zcBratD3z%20kA1FcAmE8KUJ0AcS4DxmmgmPSFTXMAOtQz+ZQAwSQAV9oATX8AhHsAiOhQssMAKTEMszgARM8A1k%205624dg63UK5hhgBdNmCzxrQI4AaHMMfMdxHzEJ7VUSrsYAeHUCqlAoLtAA8gSA8hEAJeYMJ+4QWV%20ELZjOwy5kAoDcANe0Lt8kc+96xCgIQ/O23d5JlIo+HLRZI0oyGeC8Hyn0Bc6fDyzAQiDUMpTVQRM%20UAeJ8AASsE6LKwfq4MSn1Dq1rAQRcABgwG+unAO9zAGx0AxVJzdFQGtmfHu4Rq5E/+uQYqfG5Kpg%20bhAA7fC9ITiX3gwZSVMnPbqpG3DP8ao1UgALiGywW8DIleMXEFQY9GAPIdC1nTEbDOKX7JAuWnBM%20JUl4MAyTcOthwTBNHcA1NzCOWeEY95EN3bQLRYAIT7ACuJAHOwAHD0AMr7AAvMDRQ7REC+AHHNAH%20Z/AAOHkEPqDYm8kBkxA/2IAEhGBrMU2it1a6gXrT4sqAXwDHl+PTdYgRfjktoDFRaMIZ/BoCBCAF%20FEAKGvDBW0AHlOMEiZIxiUK1nFFYWw2Y9uC8XCANgvBMyAVzMIB4kZlHCq0PSM0VBQJTI9BVNmRD%20ZbMLOuAGZFUHYCABsNM6RfW46v+wAGAABkIQAcvpbovtAztD2DMgB0ewAiWADmFYukfbkEWbe7nH%20gONaBZogu/kplxgBU+hMD/qKwvLgBfq8wUEQBwpOAlugAG3gBTfSGfYw4IdxqfOqiJ9hHfYqTKnA%20BdH4UdFEUso1c4qZV2tgTCrVIlMibgIBCNtjAF31PdJdNkVwNm+QAFpXB5rgB6tgN979CmAgXhHg%20B48wA0dw5OidN2OgehzwBMgA3wso30dbtDJt32jc2ZqQD5gAyXRhhyKjIv4qyAh+AmPL4BNQzwae%20zx2D255RJCGQpQ2StfM6DxfmAiDw4TCsgh9l3IN2c7StiCuGSN+xaAbQSFgwChf/gAXIsAvRfQw0%20zj+awAeaoNfLowRC0H4c8Aa/4G6TMAnonQF+kDocgARZAHbSbKJGK2Cq/mVpDGZehgDeAEGgHRc4%20ehBYLebuMAA1oAbK0AEdIM+p0Mj2sLwojCK6EQD4UEiB4i3uoSFdYhwKoUv/4M4d0G0jhJIihVwm%20NWiHWADgFgBigEva9NZxfeiJfm7RvQs1JVursI5w4AiWAAz9YAICgNJIsG9HMAmKDeo0E+pk4IUj%20SgSytnBiN2ABdosCdnZb6eq2AOt9MetxYYeF4TkcPAwioAXzfArI6wQGjg+BXOzMQhq64s24tMej%20EhlcDe0KEQA1mkGYEAwhJA0u/4ixJYVHnRxCFlCx7jAoLG8HFEMb2XCA57YLo1D0ZQayOzACLPAD%20SCZbXxVWDaAJK0AGb6C4JwtqGRAHJEAC1/oEZRbwpxv2Yg9g5pp7AoYKSbDHRQIT7kEZEpGX8cqX%20ASIcKO+do8InukFRZxLI7OwOhSywwzAMZAsBqWAA0yVYpsITn/IdhdE4zyOThqmNFmABdgYCw7DW%20Wfp98yoYcH1uyHDoRj8Kh14CDlAIYqBWSeAGXYUIKyqyKNMAXUcGHDAEQ6DI/QABfZAAOlACowD2%20Yz/2p27fWvYFaK/2bJ0SPvL21xn3vDJG3QkkC2P3iS8Q6HzUfe/O8MwKwI62mP9Q223uHUBxKYnB%20vDXQASAAAh8EQse0USKQCvrQIplvFc0hQ51/gCWQcNFtQ6NwDGsFEMC2+DsUQsygOmTevHqF5AkT%20N0nq1EkQK1afPlCEJHhC68KxdUREjiRp6wtJIieJMGDJ4MsXVEkCxPvX7t9NnDl17uTZ0+dPoD7Z%20/Rs6tGdRouyM4mwHj14IejvbtavnxYu7qe60Yp3azp0XKRS0xCG7ZUIBL123arXnxd7UnEqXBqVb%201y7Pd+/+5Y03NZ8TbmpYceFiQZc4ZQWcdE2K9O5jyJElx8XJLm+2EiWwYPG0+cLnC1g+JglEzUyy%20bIdiHBIjZsQgTbRoIfH05sn/xFoNXpwxkYhjiV2XGKAkTlxlyy8ub8mkaXPyc+g8kc7VOT3pT3r4%20Qjjn2rXtVHsDwmrRoCjOFikFuNnT6tVr+7Xu4d4sSj36/Z/vAOX9By+EPq3kwQQTeZyoxAknMEHQ%20qnbqsw8/CCMM6h3L3hlhl9A28+QzLJDx7IIkagEGE3/uwKQSL0IwQ4xDDmFCs0uwKAK4XSCSKIlZ%20XsTimOGKM8m4kVpyCSaZHpSwrq6SVDJJopp0TDon8doryXrqoWpJquSRxx15KilACgWGIYuELRQY%20IC0s7amyO6rYbCcEKI+U86a8ANlPqXnYsQMepfpqx4kt5ZkqAHYCMJRQueZU//RIy+bJK5BdRtls%20UkqxGAVEVfrBBI9hBqwEiDN4aPHFaDbLLDPZVllhhVmeKOKYS0IqbtaUREJOuSSUcm5RurD0tcEo%20jQxWSr1+rXKqqm6QIgjyNBhmi1QG4MYLQLlc7NdfQ8DqKF6P3K9OucIdKp4QCnQCK2c2ONTQcLt1%20N7q8LMQwQ0vpxaKECwZpQRkv/BFhACfsMYAKPQA5xI0YLR3lmIWP+eySIjxMB51vfFQJSFtZ+gKB%20L8Ap8t2gfK2ssXaFfYw9rLbyoh5upIBlrDg0gEUBtLZCeS2temoQH3z4VIpPJ9mBB2RFv82LnXns%20iMFQpdn9I554Cl0X0aHmI//66rrizWYXhzO8QFIN761FlTi8COSOQCq5YQoH9LDDxc0WlvvSC4A7%20FVZ0ZKUV41u/WI6oXbHOSeRgxTX5Ma+8+BKWE2IeJoX0uKkHZy4rp3xbq50LFx6fifL5cMEhq/No%20qec5NOmZ7rlH6nUTtTp02IHtb69DskGCliLuVfgCD0UrIQlXlBkgkGLaiCGGTXhwQAw7mLgE7ElB%20q1uzzY45R28ifqT1YiE3vmUEQgO/ix165mqwfMjE5bzQcAkllCmj2nmHsZsu39Jm8YIgIWYtylQv%20K/iIryYCbNJODOc+w0UJdtHBklz0QiHSGQ50C8SaUR4IiEAkgQlF4KBoHDb/KQw1wADKOIU/WCGG%20AIghAZvYxPGYIBpK0e0zwLnXBaLxjR7Vam8iOY7GXvI9O7CDgAWMS4ME2LMJ9sR0n6NaoezgPnyY%20LyqDC0EIrLIWL7QsCKbQgLNykQpuTEst7kmZfHTyOvpASVwITGASKfiTJT3pgRSSoBvf2C3Z7cUy%20gKiHM0aQhDcQAhF288wxknCIfWAiFVqIgfIcMA1j8EAMOsAX2ELzNel9ZhTRQMcOMbYS5CDge+HL%20yfyU8o54oNKUwOLcTVq5E3jgY3zhmgfn9kTEAVZFW9hyRyVcBrNn0ewqW6kHPbwTAithCYKWwVMd%20qxM0cQ3LjnfkCbaoec3H/1AIEI66RxQauQIkpAMRl7iEZkZziFN0Iw6pOJ4DNiGKafAgBm4AzaRG%20IcNLfm0UtsCeJ3XYN0KMIIhDBIpRgMa59UWmjj/jGU0GqKS3vGkA5qAACTQggjhQID0HClTl7oet%20OC6TQnmSIGWm00YFYjMy1lRpS48ytH9sExDhCEcUeBCBI2SiF4YoAxIGiQgmNCAcJmCBGHigPB4Y%20wwEOiIHz8nlPht0TNFC1hS38ORLuIcdv4CNffs4nNITCFCemJF9ZISM/dxhzcu+pXMDa4wXxTIAs%20cSCTK84kRDetdUlOYcoQnfmkNLp0gYQTLDa7upe8JCgAMcCpIXrRi1/8wv8X6UgHEhYhgT6MIBAx%20cIBSHaC8ppYgGjK8Z2k1qc+qXhWrGRvSFwKapylKR346EStO8EGhuMQWcWqxR6C6pMVmaYECE5DW%20MMuYJDcpqZpHMVyecPncwl6NsNGlYB4Rq5dD2EEMZ2jFAq4xg2tg4xG/SEMZcuCJce5iFjjahDE2%200QMCuAFfWNgFMniHDPziVwc6QEY0opEOBKhWh6D0YUAJFVuyvrI6IWDHBtrQBgIQoA1A0IMB2lAI%20WT4mme9xArUqUQNYzGEYHeiANVxRgEpcDmdjJVkA8LE0qeHJDiRdqALnJxQkKZdb1C1lvPhDsngc%20Sio2kYv7AsBjRRmlQvH/osc8xGCCSfBCHde4xiMe4Ys0POIIONqFIB1SB3fi4AZu6G809psFNKOZ%20CfvVAROygIxnPEPA//ThFxAxAqUYszKxrGIhItwGA+gBCFMwByjyUA5StAAHKsABBlQgCRxMwQAE%20uMtUvNAGl51gGCLQggtqcIpKKEgfa1XxWuiD2/Yp5XQLLan59GJAuyxpx0imk49fXR9DRSEA4puK%20g4Ss0KgQQAUtMEB/NsDgnylluTqribKfZBNo10Tau4I2sKJdbSFmu0F5CUEgzMGHcpRDBlTIgyQk%20sQNcQCEWfiDGK47gbiSsgglJSII3kKGDLLD5zPner5uzEI0vmOQlAzeJ//ZIMnCVpBYBARWDhAFd%20ACAAwRzmaMIEHIEDR2DAESnIeCeokQJLhGE3KqCEJZZxgD0YAQUTaAIQIJwWrABKS5goQA2Y1UXh%200gxlshNiS61La+g4hnCMkcsT3QePKEAtyHKhB38emNLIEGABvFiAEnCQlFjKxSntMOau6FFM57xJ%202kkBVtUGN+1p9yUe8Fh7WN0egg3gI+5zJ0BBAGGHEBhtjxsgQCBwAG4/cGAVq0CCTweJjDSvec1o%207vea8c1Jgf/oJBdDCcJFUlVbLDxEeUB5EDBgBCOkgALJ4EMLSE8BPoyeApToRCcgcIYXoOAArG89%20JSiRAtxjAAU4cIWFgf+wrGYNgxFBKK7K9JGkVwt2mkDn1lKGPhV42OGJqKMa1KKpn6cDttKWwcEC%20pt6MSTRhA3oaP/ugiT6cKFhnXJ8PPdz/fveHwD9V1E4V7W//Y98f/8cGRBWbjvcq2oBDuIEbkLAp%20YAFw+wEOWITBK7zbeYI0i8AsUDx8Q4ZbCDAeOriV2MDhSC0PXIkqMARNeAFKYARgoAAURMHbowQb%20sD0KaL0t2IIT0IJwewBFiLIFUAQSaL3XS4EWSAEMSIE92ANKgAA02AI6ABgt0ZLjQpauo5Plw6Mo%20ZD5Yo4vPcQ44eYdj64oNaDv5o5O9eCbJCIEHoLoc4IVHaIY2UB926Jn/9TGKnlEl6gi7eOAZ//CP%20etA/PdzDPdQOPwwB7fCPDRjEAfyDQYQ7+bMTuLuBQHiNBtCEFfiBJ1iF2fCpz4gGCey3NkOGdDiH%20k+iRHAqSDUytyrsFQoADKugEE6SALYCAE0ADEtifOHiALrooCRAHCRCBWqRFRbgC7+OCIQADEzgD%20G0DBFlC5PYAFSoCFIJgAVwCCAUCRlNGKqkAj5aPCoLMLPVE2AviDf2i6m2gHfOiKRImXMBwZyaCQ%20JoiyGVCHHJiEMAiEQiiEDYiBQmgiPEEUGrODQoC2nnuTGzDE+zs2gkTE/ONDhNQ/QxzEYoo/g0RE%20q9AHKypAb2sAOPAD/z/4gTdYBAfchfrCNzfDt3+rmOEoyeQ4h5Y4BwRgAJUcDgRQSZV8hltABUPg%20gAegxTiQAAHQSQHIAAEQgAcAg34YytZjhFQwglzIBVWYgFRQAC0YSgFohUlQgk+gqxOAABsoRhuY%20ABRIOVhQOQWQgjb4g5WJNs/5HJ+bQmzEMeuQiw1IJi4xl/tJme0Yq+TDD87BAWJoBjmYgTFIBCrY%20gSXIg3LDARxogibQAz2AMAKYxz2px58hMpughz+IsIBMSPzDzIF8yIIkyD+4AWT6uvuzihSRyLdh%20jUDIhkdMAEmkBUR4TUTwSDZLM1tggJAoSSFhgJVkyZckgnVQSQQITv8EqIIQ9INYkIU40IITOAEZ%20sIEXALkwsARLOACTowZG6IQtgAVmZBwtAAZgiAOiBIYHkIArUAJFkAANIIET2AI0gAAZWD0jGEIb%20gAUMwIAmMIA/qAd8iJomSRqXUsu1hLW2/IcgeqgCUAYtGAZW0IIgAAI0aYctfLoIkQs9WAJZUIId%208DNAU0xQqAXEzIMdoIIIGFHA3IEQzQNQaIP9VLZ/CIEbaINAsEyBRMiD1Ew+TJE8tL8/MMQUsT8v%200AfSTJEN8IIbEIMCbAM6QIFO6AMwyADBO4LCKwFP8K9o4KeWWEnhRIBnECUuvYUq8AVfMARDQAJC%20IIQiQIIf0IQGaAD/b2iAWdAEOIXEVZlTOK0DeoPKK5iEZmiGKwACBVgGYECDcoCCFrCBEyiPVmiF%2080QDRnXP5pQBDAgDFZhUSrWwQviceUjLAL0PB8El96gENVgDELAAD/AAXfAAEAABVlCGFMMKKzlH%206IoMPtmApGEfpJkaQzkefJjHeeSBNgAFYAWFHUiEGOATLOy7AYBRGeXDGrVRPcw/LxjSZrWiKpIH%20e2gLK7KHgfzMCDODA4gAOGBNSeyIEriEj3iJLNXNOFtXLq2C4aRJJGACVvEGb3ADOU2AFZDTOd3X%20VfmBfE2CBkDPSZi6a2gGcQgHTxkAOuCDHnDFGIQAEpCAVihPRdCA/zGAAhMwAShAAxOQgReYVElo%20gR2QhMQkgAJtKQDd1MKZw3aQAhEAgcKQhi6QhjVYAwuwAMK4giBwVTCM1aAYv3/wxv6QoAAwHao5%20FD4xMlwNAB6QADOIGl0xBwWI0RsYgEmLsG4MQGe1USC1v3rQ1qrYAIGMVvzb0c/8A25A2zAiAKsF%20AhyQhCXAhXBNAIzkgB9YBSg9giPwgY3kAL/1AwnIgTMUXF4oAyt7hBnIgTf4gTpYAYrAVyaQ11WR%2018it3MhtszZjAjJ4gjd4A/OSAAK4invQCkC4gQJQAEq4ylaEgD7ISSWYhEkYgge4WCjAiDEwgR7Y%20ARXIg2Ejt/skgP8N0Il3kKWUXaniXUu9kIs82QB4YL8/cQFd0AUL6AIrgAEAaIRGqIAKsIKZJQxl%20QJDXiR+Cygm4Gxqxakuw4pwAgAd2KbJ1WZoY0LVCAAM9iAFncLgmaAOKDAQClDCszdoc3UOuE01m%20HUSx/UwCLECz3VEhJYAEDsgh/cwwQtsBkDCJcwQ+kNt1o9sESIJIfIIEIAMyCOEQjoUEEIJF8IEc%20WIAVfrcjyIEZsLJfyITFTYA60AQ3kFcy0FzLtdwcdgM32Ncn0NtFGAJSQIH/yQsugSs62AMKkAEI%20gIIegIJysEHYVQIJmN0+iIUxGIOMoIIl0N0daAEVaAJQqLDG/If/2+rHClLZyUC1ZvqHDWiHP3AH%20ZRAB6aXeCsBe7IUB7bUCm8VZLegwsSMiayylBhmKoaEQQDSl6iipROYcfIiCe7BHAvBVBxCAIaAC%20xDxMR5i0ZP0zAzhSCEvgg6xRQ0zlA17gHU1gsy3IHXXgGygEAmwRWx7ABKblWSaAAjAAiTOHCciD%20FuANE+iDfjADavDOREgEOEgEXIgAME4EIfCBgYXdRXiFIlaCBWgGK2MDxC2DI3gDMliBHIYIHw5J%20/CqBVzkGyipTQ1gFDsiADEhPWIDG9ugKAjCAJggDGYACKVa38XxdJQhGKEgELx7GHmjSHuiBFmho%20Mo60NoiL2lqU/59z47tYJsvIii0JglKVBu0FgOu9XuwFaQDY3jVAVRcgZM3xWZ/QDnSkD3qIpT/g%201f99MAO4acXUA1CAhGA1gzwQgBwQAN9tAhWYWqz1gnx+sBj9Mwc2YKdeZbE1YFZW5c+kZT8D3huI%20agM20ro7hIUcRIHkVl42B0dogSrOgE943U+ghmQ2gQhYgiWIAGd+5iV4AMFdgEmg5lfgAAnQ5rvO%20AcOV4SN4iCfQAU84bA4CB8VWbF8gTuEkzhBchUXggLkiAS0gBRtQAPxMka4IgTYg6jOggoamgjMo%207dCmAhyQ1DwIgxbogwyQgR6AbUTrYglIAZg63vGxaMlgJtxqB/+YK4Ar8ABpsALtHWmSFumSroBg%20WANd4IIaQBOo+1mlMOAQ+DNAGzQ6aLmImwLuBtaIG7RBmwI6mAJIgIQmOIAXEAAlyIEhkOsXwDjt%20noAJIADPfjDGtO9u3NGoXuCARGAHpuX/7u8NKISvHnADd+qk4cdDKISGs2lQaAJJIO0MUARtnroZ%20uPBm4IVJMMwz6IQXwIhhDu0zyIMybIYcGOgM+AHAhV0WNi9e4IUztDJDuMDhHE7ItnHIzvEqQAVU%20yAQFfIDKJgV/RgMoSAFJM4Ap4D1QMIdF213DlFTdDYMw6IEzWOgq9+ebzPIHyAAJkIAdCETcRpIw%20Z75l2gtj6iX/J3jZLviA7f2ADwDpRoBzGJhz6wWAD5AG6UURItO+nyBqCNODKQD07x40KaADQ9/p%208U50V1j0JlCAJsABBZByKbeEM9Bk9hYCAQADIVA0C+MDCVAEWcCB/5WwQChl/Z5qsfXqQwTrp17w%20QbSDQZxH675pDzW3uC1oixACPxCAtH7dqXvxCw/2xH301TuDqTwDFTiDFniBHhCCT5AAee5yDniD%20gc50CaDmFV5hHziCX7DxGg9Od71xcZ/Jd26AZEgGSjDGHyRjFEABH0wBFZDyYRvjMcbYHtBYJgUD%20fb9JAdCADAjKLe/yTyeGBYCAymgKkBlz5uPtb/QKJ0gFELgC/zaHASso6TfH3goAADqHgTi3gmCw%20ABDIhS1pDLt4hzFYACjQaXMIdCkwB0M3dEZXAEefeQVYdJlXAK7sSkugAN54ANjNayHIgCZ9ACru%20PXMgBQkYAgnAAT0oQKwdS/0G6wJ36pne5advAw6tBRzIgzCOW7m2iDEQArEXgkSIBbJfZnCVZj9A%20axZGQ/F6hG2Ie0kovRR4Adi1hBeIgN3YAT9g4bveWx/4hAc4A2qggnCNhWUe4R8whDQgzsZPgzRA%20BTAV0yNYhTfw2wRIgCUI2RQwdAVAua2vBa0PWTIeZnwnBVLoA1IYgwfogzHQd9gHAxIAA1rs8vPs%209YH1vgVQh/8MCF6sqWjdzg89giCNDgecXYOMBwArEIQKWAMreH7iJu49BgByAABBkAacTbFEdja6%20SIEZeIAKA/QpkAIpmAKbx4EJUADDbHd5T8HVdUVGBYM42Em8PsMhEIBEuMmLLYcWAIgmeqaE6aOo%20BYFCbdoQIPBnA8SIfxoSMGBgyhRQTXDgUOHR45KQVJa0oIKrBckdS6iMVMESF5UIERLFEuInAwcf%20C3KUeYRNHVB1bIaqK8OCRYsUZyYpCtOjR54IO4TkOOJj0dVFHASM6ydECJxYfmTFyuDnhyFCiJDs%208qSDCRNNs+okqesgiYNBtRoMModizzJGjDqd6ZEg1hhS5cb/PACTeMzjMWAmP8ggQIIERYqUKJnU%20mbOSK0o+EZNQWkIGCRP+4Qvx7zXs2LJn0649m53t3Lp38+7tW/a7f+/YDQ/ezp2XAly4iIMBwMqH%20ClasBKs+vUIFGM7JAfgQzAKXXO7asStfvneLZhIINDFnQA8QOnSkTFGQwkYPGTb0J7PRwggFMmDQ%20AgWupBAGCmG8oIIlJggwyQy8DNGHAGD0gcZkaLzQBCRmSALGAyoEUkhDG8BjQB5Q9NBEHpKEkYcK%20LRQGBRgq9NDCDip0BIpGTfDYIw6SUNFDLCAOMURnkyyw5JKTOKnkkjlImcMMETbDSzMLcHRGCy9I%20uMMZZ7xA/8UOiRx5pg8+DJFBZQ801pgQY3xlwgtHmXPnFHRopEATBxyAAqC48MHHU1AYemEfiSYq%20RCyIySKLmw9gRoxmrbQiGmetfKIIZhI8oEEcYGhAGSluavCpBJ/g8Bo+r8Hz2z+4wfracLPaCls7%20ueq6K6/t3LqbeewEIGwAAcDTjjwd6AKddNhlp512H2gHAACNSAcADBV84IEF8rRjxzzszPOPr7v1%200MwkKrzXxBRSAAEEJK7Q4YoCgDrCURNNTKAAHfsCoQAOdGzkkYJ9ZIDkJ59IAAYJQ0ggQKQknNGE%20AeYkIkE5BmyQUCEZLMCLEjy2B4k5+ZpDch59tJcHDk2sFP9BLJUNsYiTCygJpZM+lJaBLIwmkggU%20cCQSARSxQJoB0kNMkgMvM+TAUQsqvODDJxFYEtMLU/kwydZbT6LwA0JAQWYeZeOQxw55HMACDixI%20IgkfLXTZAmEQmABMH0GraCgaUIxBwmSWXUYMMUMQ80krxLxCeGkaON7PA6EmRkpiYKABGYiAu+np%20ZImpy2pwsMpqa3G/ztor6rqanluwxA5bnhPigPCBFc0+C61zMAjCHQDNZrutBQO0M0+44fbWRDMz%20TAKFQPDJNx8Q7ebZBJ8b4TABEFIoIAUdKaRggqEthMGhGWYsBIkJfxTShKiejgEFGn1MPAXaoATS%20BjsbSDD/yRBjTOFjvmLUg0P1ADNPwplnPnGkxpAFChFgyQ4koYIdUBAlHEFbBSMYJCjIQgJKyMEC%20mnGNp+GgBXmAxBkg9oIXmABMDxgNZsI2hp/1gEsvSIEKcCg1CJqgByY4ww8LY4IhEpGIkmFMpxwm%20AYcxUQACcFwc+tEPNJwACuVYTB8Y9jcSSCYOnxJAHDKggYd9SoxgAEIhQvCqDeBjdKuD1TvKtTrc%200DFWdqyjG2ODx1i5rlh+/OMf7yjIPbKDV8F6hzsKoAsPVOA50skWtJ7VBWddB1vZkYYuUkGe4uWK%20Ny2YwUEm0YqSvatdZsjeFN5FhzuZgz42kEArPta0a/BC/xE4+EOw7pGrNpigkPEgACSg8IAxDBEK%20pIDCDgQCBD0wExRya0ILMvCJA97MM35LFRgMpQJJnK1l+SobyzjCEQlKokXgZMkAaTKGWBAJDIjJ%20AKeUsCQlKCAMZ1AQDiR1hh2wJAxU6EMNe5CjucmtoDbg0hmG5MMwEVFRkgHRZYbAKQVihk2NmYxj%20FAUMKXKUBH3g4qMeCqJPkdRNYfzYAhQBARk8RQX4yBU+WmXH1xDnjb2JY+h+RchBzpQ2OwUkUAFp%20Hp7ucVd0LM877KEGLkiDktjBnXYEQa0KTJI63XEOJpVBnneEq5O7IYAH9WCAMXwCDfOigwGA4ApX%20XORdQP8wAAE20I4gLOAa6rhGM7LUBAKUBx92gEd5AEsAKBAgBOYpxBTOoCKFDrAF7BJrxXbQgw6C%20SBYA3acK8jA+HeGAR1OABI9Am5F8bQRGcmOsoVL7FC7J7YY9OFgfUjCkFvzQBGCARBiSghlFgMEG%20OJSBDFrQgxS0ILgyGFOY8gOB5Z4ADZQzGqQqY5lO4cQsfvBDAhJQxCIC424mQFQfttiPKMYhVCQQ%20QjlWW1wINJcE5R2jIj52BRJQwAYqsgEB4tEO/ebxH6/yjVdlQ8fiFDJ1qCMqUYOq4Ne1rsHm4Srx%20IixhCeeUN7oaj67o0Y58zEEXXehO7ZwFLUF0ocTBWMP/GjpQO0s+BwSsKNdwAqybP/wPBwbIpwSM%208C8FLMQV7nIrQ0KAHAUAAxgUoIM8XsqOeACWHfB4MjsKkQcCPHkD5ymEHko4BipM8EZ5YBcBdgAi%20MAgEI8yEzxQGMgUcmNkVoBitOMGkoqfQebg5CkPL6PBZc7w5zdG7cRjMMRCNQAJeUMDBCl/wgAUo%20wT/BlZHcklGYFsDhu+EFnBcjpWk/TEYIfRhaBHAhalzAgdRwEFoETJCIIfbBBP2YTD9I4FESmOAE%20JugErqlBCTxfUJz1MgIlZICGOGiABBqYBBcUQYoUUGBubXgpq2hKD1vJmKZ3LI6BUbfTny4YqA7+%209jvC/y3ucZM73L/J1XgwfGFlSYNatbMCDBqBrdwJwgqCkEYHpLHiaVlBF1eAcYF9A48bEEAPPpLB%20qBRgAAXwOJXRW+sUzMCNAQDKC+7AsH8BGys71PQdhSgdPDbgmnYcwgDQNAGOZMSlNbdsCm3ISEYg%20Yb2W56tlKgjDzW9+PRygwJuQwMhb3fou+KQ1lXlyRb543ZEFjQ8SKgDDC5LSAkqkNLc3klEP3sQm%20pFm0c2Moh6FOjYsl4CICCX2JTEIi6lLjIrsJ8AMH4D6EWOAiGcnggyMcMYGj8H3nCvgIBry3B2B7%20zwiDpwAESKEFEqBhpRSoYt+eTR45kofacrS2gwd5nv9tIxiP5f68uIPV09kEh/N4zHavLq56dSOL%20Fbr4wFSxY61qdecDH6gGJnLvAitga94V8MAV3BG641zeNpv/x8vdgwIwCAACb1XA0INuEQPswRIW%20/0M7XpqrWskKHu/wvvdNFLqcFuLGcttB1OUm885yZIJS61IKcoSD8bEZB3rQ8zLfOv3pR88MGJkC%200ulLGGCAChAgDnlPCnTEzeFcGOBZGDiI97yAmCzAEEhN1O0TGvAMZKiITLAES8jNGQxKSCwBHywB%20P7HETNDETXDAIhzBEWRCJpTBL2xDGRxBDrwCHBxF2+zd3h2FKrAABgAKBmDAAOZQClACJTCbDdgA%20BdT/F3BRwhKy10q1gKG0gerEihx937ld3oBlHh4dn+khGOiBXuvYRul1niChHq+s3sXpihcMgAUw%20kryFWAXIm7wBAImdQjCIAzOcguxhi7XoAhe4g/e9Rj0Un/Fp3DtsQBsowBSYgwywSQq0gXykUlq5%20FVpxQxteIWxUmHAQh5PVCmyUByMiWtRMUAosCGchSL78XP4RnQEsRCxaBBCYAR1AAiQADMDwHArk%200B7kkAoAigoYAQ4cSAvsQQ9QgBC1Wg+ggQmMgRLwwgKsUJcsxRCsUEJRkExkDUusRB1EgCTsQATk%20AS7swNjhgh/Ewg9wAC3QAhIQgiGggjymASr0gjwa/wI+roI+/sAPJIAm8J0jsAAPOoIqOEIQGIER%20wIISpoAM1BcsbMFD2sAWQMAW1BdFysBETuRy9QAEQIEV+goino6MgeFwtE6EvQ7xiF5vkMe3tU48%20FBLroduuYBgb1qRN2qQ8eAE3FEABSIEUTEAQwAIEaAGxiYAEiIApWAAINJK1NAvtzaEVrMEeKkAN%202Fsj5E4FCKKvvMO0jYdvjE7I3YDM/QsJZAApwAtavcv+vctCcAM7hAA+wEM80IOsfF9Nxcb3wYMd%20QMQNQIRCDFpGvBkzxeJCFKZFEJ0e+B8uWg+gAAqCNGADfkQO8ZxSyMAZ2I0zQh4UMF6igA8RFcYZ%20GP/E/L1ADQmAEFiCBMqEmOTBmKwQFdRBItiEHwgAB2SAD0hJGZTBNrDBNtDjPRrCWqwCLTzBE/wA%20E6yAG6yAJiynP8KBKjSAKvBBdPJBLqhCMuQCRlIAFPpWE3YnI8BCdy6hRAIXRa5UeULAAH0kubwR%20J7IDXdLRhM0DgzlYSsbG5E1ewNFUS8ZUsMykO9TDf27icQDoTbqDPNiDFxBAGxQAwwXlFpzA4omA%20IoCKFgDDFmxBEEyAKwDBAHCDPbRDPXiBPQyDB3xAI1hLJNkhAHRBMDBD7mGCOHxYvDlHVgbfa4Bk%20SPbGW7bByUwBBTiRCkRPfECCAaCVLVpEG2Afr+D/CjyEwB9MhILK4vQNRPlMX2FKqf991mJuxAF0%20xAFCpiVwRGRaoAWqXJj0TWqBT9+AT0eegQ1I4CmmIq8ZnAS4REmwEAomWgQIgTSlyU7kwCMAahnw%20AjYswCPIgRyoQybkQCYcwSssDjGMxaPEwhXBQTKUw3IlwxYkQxPCwh4oQGAIhmB0AiOEqmBQQtQt%20ARwMCkM+ZH014X5gJHDJwHKZJ0cSVifl6LmVh66O4lHBg19t3uap4a7Eg7Ea6z0EQDw4QzwoaxQ4%20QxTEgzxMa4Hm5ADwpBTUQCpYwxaYgikMwzBoACuwwjDMgSnAAiykgo8VwAAMgDwYKLVO63G863/u%20/4o8dJg00GiIyVsj9U4FSKUFdAMmSJV2XGW/vdgnkkuv+tR/xQO5vNzP0QEaLAy/nJIZGMAApBUk%200MG7UESUSulh5t/+jexhppX/tQyfiBNkNiCg4IuYRmb6JZcPDdChoEH8QIGb5qzc4BDOzZ9HvEDP%20jen8YUQLDAEOcIkFstADJZQl+IA6yAE2/AQ2PMIj/MLUHio2IKocPMIinAUZxEICnBrbCcoShOPb%20hCMKGGAT4hquieoymOqoomoL1EJA8oHdBQEEROES0up+rBSt0ip6+hAB5Oob8Woh4cp6gmTGNZkd%20QZnoER/qjAeA1kM9NGuzRmsUJGsUROvlFkK7Zv/PBIDnUBalCGiAFmjBFuSCNaRCKtQAT3ZoJRwi%20G07ru9Zu7a6ePdiDgLZDCLSDF7gACMjou2UH7V3HiXVABwxAN3QHtXxAF+jCMOgDTcXRws4GSwKW%209m2AAeAiHaDAAwjAGWzs9p4BDlTEFFyi0LnVLI5sKf2fK8jczEHm/GmWOM0fzlFjmAAR+EBBooxB%203gBNDz3FCt2c2czv2TRgy7xIZzXBZnFJAD/FAygJL/BCC/BBTGTjC7xI1kDCJCAqUGwt1VaJlERI%20AsnCqEkCAg5gY+JcDhEgAVoCElKCJcDwC1gCBZ1t2TZAA9TBcq7ACjBBOyKBC8qCCjRk3+7H3s7/%20qhKbAHoOruLOkXnAAz24g4b5J07S6+ymG/G5w4dq8XjQw7UWQA1oqxr4wxzcgSkUAyuIALnGgRZA%20AAUEwfa81QB4gS6pnj5EQT68ZDzoki4dazzkgzMQK4hWca4EFmAdRwGAQFNNkog9FQBIQx+emMDW%20G+xdki7kQj2UZH7OyuHGg1y1w/pErAkowgPsASTgwGiEwQ2sL8mq0rxQD0cAzAoToAMisMpKTf76%20EBTsrzM6Yw+FyQ1lzUeEUzfVb9kocNLxExWCgTRNwmQA1A+d1ido7SMwDw4kgwR+F/MlzALMADY4%20zQKoSdwJQSJQQRh0qQrs4tlKwl+EwR4g4AF6/49k7gE1WMIe/MkBWEIY8NNMkAHcLYIQZ4Ih/EI9%200mMv9EIZ+AEf1FcSJ7ESk+dTyEAh6Mrhms5Q4cZMbnG15i4WX9wbFoABaM8E5MKDEqUGSGgx3AFL%20+4M1+AMehHEBHAIg1DS6teHqzavu7tex3kM+PCtP//Q9GGvqiFwIHKK28ZH3uUMlgIAuZMsjY6V2%20nMKLCkIw8J60VIA0gEABuAModjKsVF5f4YN+tQEoKIArHEAcgK85TAK6gEKhxcf7MhzD9VzPTQAO%206CJHNCbP4VwqYh0vw49qBdEZoOoCQqZdu+wFvQivaRb6lcQYHMwndAbTzIBPPK06SEAiQMUF5f/L%20EGitOtygTjRN8lyJNA5BNkUNnklCE9RCMgMGbCMkBuQdHwzeHrRs3gUk3/FdD6/ADzxBOyICIaTD%20LdwCAlTBcSOAci+3ct9CFaRBL2SCk5CCcelHrEY0cAXwDVj0GzFuIQHocajetDoBeVdCu44xGauB%20MszBMIxr6bpx6gaBukrB63qBt7RGeGOYPdCDhrlDPuiDPFAuUqMefwNCO+SUgccGPQBCSwZLhAlL%20eQxLsfBqPnRA8GLHdUASDHQBiemOB1hHMFwV8FQCS4rLev5GIaX4ktHRUIuyGWysGbySBOzEAuSL%20XtO1AhyALgojAu4tR9ZaL/fyNEfdDRFMz9X/7/zxnP0e9v26JhWECdEsCmTESQTPQFBcg09gwzX8%20hDoIQA3Br440QQbwgmcQw828wmQ/EcS8zykSDAaUkwkyiBFQQxDsASXIsfcI5L4oAF4TIB/AQTnI%20gh8Qwyq8ID4mNCrQYxpUASpUAXIjwDMwt3J/wXI7ehqwgdYKwAmsV3UrcX7IgAlY5g0U2EXrVGBN%20RBssHFA+5OkOgwiIA7nOgTK4QC6oQesWwClwAyY4gbdcXO7W5E0XqE0SsowZR+jQQ4V9W3w62B/B%20pBp4gDQ4MiQ9C7ZEB4dTx1VjRyR7wBw4wfAUz4nbVGzgQ8FxyBSQAkq1jJjCyGPLTZ0NELzn/wcV%20JIVHILk41dwFEaFkegQOYYC6J0ILpFoP/AwUeJoQgMHBf0WnfUVs+gChTm3U2hVQPMAZYEATSAG9%207MsETIC+YIAMlAMalEM/9EE5xEKFAsMJCIYm8MHbzHANpw3LNEAt7IUO77AmrIAO6IAnlEAREAIh%20GPejM/cXDD2lE/0XMADRT/pyJ32lpwFQXIMcKEKANOQJTD12g/oJpIA+VKuBkjd5ywMmDMApiHEN%204EEuuMB6t7c4iEAHaIEymEIQyLG7YCwB3IbDijve5731+soh6YoTVAIXWIAFMK8gOC92BENUUwu/%20BoMgCg/p6b2skPtFmEMbuDUvxPu709nO5v9IOJGW588cRzhCHjhC/BWgMZuMWLVBIDhEIWjvvMuE%20D0VAD8h+qsVmInxabJpzAvwMGXxCDkA8l6uDBiTFxk+A3uEABhS/CvTtcgFDD8ABMHQCBJDqMvBB%20A7CAjsjcAbDmTFwXB7zBGyABQf/CLyz6ojt6FRS3pCPA0LM/0jPA+8M/AiD90U860yv3c3uwHGhA%20rAIEBQgUZBQ0aNAGBEp/3LVzN6BNASlSUsHKtWXOMFYiRLDSogxkriA1ahQYgAmlEyf5nNhr6a5e%20w3bv/tW0+Y/dTZ07efb0+RNoUKE227XLyQ5pTYfunLgAcQUAgA8fKgAI1sVK1gowuMIA0Aj/QAUL%20uoZ5aaeT5lC19HLW3NBGjyMlC3jJ6rEjWQoVKhzhaPIXMGC/GPJgCCPJsKS9GCTh8NtEjwEDbQgQ%20uFEIHjyjaW2yI0CFSoQzVM6cMZFICGohQsCAWc26j2shfcYJecCr2Yxr6rBl2IFhAg4MwCcMNzKc%20AoVkFM50SpasU6cWLSikWHH9xxNPiC4hSvfsFoIqCMST/3L+2blnCJ59OfcFAfzz888zkG8fAQP9%20+uOTj3/eP/HSkINAdTQgaKCBDloQAhtkgECRSTSIQwsItoAlFVekAKIAbpyQxx15QHSHxBBdcsKL%20EUcsSiij1HoRxhhlJKoopJJ6xyGHuLmC/wtptqLqg0YE6QoAr7gCq4tgLAChgIZmhJEdemzC5wYD%20lJghBxQAMycwx7zEwRHEEHPsL3Om0AMIyggoZAN83okSHnY4q6mtm/CJs40ezoiAih4i6MGE0EDb%20MxHXWrNNttX6EO0BJXiZ4ZEhIkBhgglQoBQHFIbDwIgUUkiuEwqWSIYSSqpTAQxDUEGll17SqGK8%20KsIL75n15AMwQPIY+I+++u7LD78v9tu1P1zJq2JA3XjRwkEFCVrQoBOgMCKEhty5YakSRRyxJXtI%20dKnEcElUKaZ26qGHnqLm1KnOJ919V8YacUpKqXZErIELD6aqCgArooqqK64+6NcDC4Zxwv9JeIXK%20TCcVFmimhyZUwEGFwwjzsswzJ6OskD82CIGtf+BhK2SdjGIns5ThwbEmtthpg4oWRjtDzwhUsO2B%20DGQDQwABMhDggdbAIGEMUnqAogdcxvhkCAlSoLS4TS0dztNPS+WDD0qMwLqWH1AZjz3y1isWPl33%20+4IItG35Yu21e/XVvrP3AzZYXv3btYpHlGjlgRMclMHBZ6E1aIJ66vmjqMQVd/EolOHBCXLH2Z3X%20xsp3clHhzDX3KfHKkXoHx3bwuUcLDzwIJhh+yfkKhkYa4aoC1C3gwgIRz7J8c6AK+ccACSJuwhxQ%20NA5kTY832CBOzdtVis7PdgCtBT576GH/gRmweWQGHx4QwAcfJhmiZwHiIAEKCKBIxAQ+I8DlN+I0%20He79Tave2pE99lCBjwb8qAK8scPOtT3D0o8tCIi2tNknbWmDm7DiNiwG5sc8//EPfKrQDD/IIhkQ%20QIgN/jY4CJSjBYuzVo4akpOUHYVyR3lcZ3ASJxvNIwDzmAdPlpc7G8JLXpWbxzvSVRQveKEDpuvC%20B/xVJLB0pQKxA4EHxDEAENXIRjfcyTviwbJ//CEEG/gDPm5yFp4YZYX/ACM83IQ5oITgTmH8B1vg%20AbMXgKZPoTFBMwhEoBxkYAiT0KMPSpEBIZBCFoFMRAQISYUXGKFSiZxa/DY1HK3xoX5G/5DEEljw%20gyrAhwFEUOB8iJBJAZ5NWAesDwQD5MD44Ic/cQPQfHRFwTLEQhZwSAgHAVfLwSkHBTahxwZoyI4Y%20ei6GMPQcDIOJFGF67nI1lOIyYZS4FCJlZTW5wT8wMQwQcGENqduKV5K4Bm9y4QpXqASJboc7ZtJJ%20SrsTWVuihJSZ0Mko71RYFGkIsxZQ4XkReMEZoDADOaiDQLzIwCcW0D0fQKMUDyBFOcpxgkQkYhPp%20e0EuJqCAqF2qke9LgXGM4Ij63S9/CbikATXpyU7qp5Mn3U9JP7mrc5DnpbtioLAwqZ8HylSC+aFg%20Jka1nAY5CKiDk0E5ejABHKXlLEl9pv8xYShDpgaAHU2FqueoSsNzXrWZLBqmnKT0jxDIoxIuuMIS%20pfEB2FlhDdLwgC64wAoUOUGr5sTqXIGiTDy9EY5xTAQv6igHXjzAe5MoaClKQQbDRiABg4yACc5Q%20qkox8jiNbOQeOuqIZSyDMPrjHwI0qUlbdBa0Kc3kSem2q1SatpWnbOBNbUo28igQAZlowHM4WNva%20CjUZ5TBHV9mFTBT+lqq/7eLikklX43KORUv9bTzYIQ8pDIMLINCFLsYSXXCKAAjcaEg9lMsOMx73%20uMqEXBued8/n3aUH/qxjMzLggwVMgo+E3UQEyIBYQpbmBaXaQ6UaGVnJDoeyHr0sY3D/QIbxjBa0%20nwXtaE0KrPycgz8QRoCEVdlS1bb2VuZJ2y1kC4dk2IACtqXl4Gyg23VFznLCVTHlIDdcxVkVvDGu%201+2UGznNyMMJA3BBEKVrAVa4oABeGOd2TxZcL8rYuMpECnkNuYQzvECfY5gBQAk0g4EK1gdv4EAp%20ImGMLm8iAXDw8AveeICp/RfN9hPwMvYgCRbsz2w2jVt/iJUr+9D0PAkkqSZnesr71A1XZcvpEfhA%20WxGPGFrJQMMUjnwTzy0O0sSlUaSdaTLxInmuwA2uMMXIFH2ACET3qMfi4BEPOtUY05mmYZwMsIMW%20PG80VAjDGLDR10dIYC4FfcOuI9Fl/2NsYhO48DBzqHGAPDASzZtSs2Ux25f9heccKn3PhBkQ0wnD%20VKcI1HYCO1sfOV9YgKssZdoQcIQGePjQiIYWFKZAkzk1zp2UjrSL5Q3jVIc3ct2NoR0+thSXrMhw%20DsGHF5MS3HurWieZedkOXvC851EhDxroqxywsYAcvHcSi+AAGXxtDFEAuw6bqMMSgH3mZE92Dx4N%20QsrdDGe6bRLmefaVzGmu5/kES86olGlrc4WrV0hCBiFOt1BlcAIgKDXV3z34VYXLQnjP40bv4GXo%20uojCo/b20kvP3KXZYYBXMxyfVJAAXycOqYvD9w2E9bUoIgHsBJB8BztoArJPvuwgLP/DEap4M9jW%20YVK01TxuNqePngk/UwwD68/GIs8t7lyFVUhiOenuIIOgcHQxnhi8Wde68vLt6HxHERArA92c8LGB%20k91uXY3bPDPFyw49jAbsz5vEbqhcIHXMoKBZ9sER3sDxUrBdFGwXeQNMfnIAVzYIGFBFAyp5SQSK%201pNoM2n0G4jKXN3tz3IbVk6PpdMvVOENQBf6oYVqPgO8mCeYD0paQCcnY0a1hkpfvQ0LPmNK1yME%207maHHaI6DxcWJR7igYwazdHoZf5yp/XwwRwS4S4aLgJ2QAJyYMrUgfYA6hEmgbC6h/dK4QmCz+NE%20gcvqoAEcge6SzX4gCQOCwBGY7wf/ioWlPAkGO0n6ZlCV6Oz6GEjOhAXxcjBXGE9YwA8Hgk7yhMoE%20IOD8Kg0tZIQzaML94A/q7O0A6c8A5a3S2g/q4M+dAtCdbCL/nE7zojBGHqfgXOgPuq4FTAAMnicP%20IuABCIoXHgGg1OHsmoEXumcRfGDLSiHtjMHLIoEMSu59SrCR8g4D+MIRrEEVXOEBqsCT1uHaIAzB%20RIk+VqulKhG1LjFAygZXGo8D+EA5bCAZWuC2GARwHKQH2qDFvpCZ5A8Mtw4o2u8e8sFGoOqY6mXU%20qNDzWnHrFK5y8AFlHmABqqcZfKBQvOcTrgQbBKoH8uABhqDihqAUhMCwSiHL/HAT//5Q5OYOAwSx%20kVRBFRZjOIJgAgQgP6QtphhMBt+m+izxtAQIguSjP4rlbsSDAxwh8kBxFDsIAvYRAqYHFVURqwBS%20F9XiC9+EivIhCuAhAILJqdghBG6RCo9MIAeyrlwIeWwEH9KrjrBEApuBLmYAS8CgCXBgkBLh4gRA%20NvxADwvLsLBxE86MGzelflLAEZRPFZogA1CK3IYF+kyrV3KOHSsRglALHuNRgqqAAyRBOUIxFBFN%20gybPH9doIqWIFSnySVDIJ36LcdzPDlwoAHjJKjPtKMoQHprgDMBACXLgGgpEDpTAB0ByEnJADhaA%20CkBBCJSgT5RgEh7ADzKgJf8w5P8IKwI2YQmCw/gGEQNSwBIwoCbFMSdhkIEWTKV4haaC0hIdDLUi%20SB51RTz8wB6FrgU+TB/7sRRt4J5QUeumMix7Aiuz8h82gLnuhE6YECc4bTWZznMIoByU4BMUgRdq%20Tw4mgXs+8hEWIA+aYAgeYAfyQC8NhTVSg5D6cghigU+Kz/iCwAgswRL4whtZgANQalfG5uYg6KUQ%20Dwctc/vcER41UTPjsQr8QCmbUjT/plkepLZaQAYMQOuq8jYJ0uCUKXGsxSzMJQTsgJg+r/P6813Y%204U6SYgMMoDJAYRII5BoqbpDa6xMm4QJBgQqEwC9wQI8eYAxiATViIQESgJASawn/8iAPMuUwN8UI%20spMauFPvcpK0zGMSSQkSD2gd0XNuhhJIMwwBGG/xPHM5PkwUO4iWbIASUiBG+WkKoungVFNBOyO4%20ADRx7MFbyOl2YIj/VoxKq7QAoSkEkAJ54kEFciYD/CQPqKAZBWAIsOShRjIPMoAXlGBCZAEMZIGQ%20FIs0GC4Fis+/0MwIqGE7807vOIA8YaUXVuVrxsZHIxXDcKooNZNY3hMH7rEpJw9wnNRTeqAcpqBk%20ki5Mq5QdmMvgxChAK6EA8EAZOiAYioEZasALGiIEnpBOqqotkktMhwKabAQeNgCapsAsJUAFyCw0%20foYDLI4uUQMYeaEVJAAMxkAW/2IhjvrknsLgaQTV+GSURr0zPs4BVtKAXF8FbDATEoFSUoHUKCNI%208XblFvwABY5UFEXzIJ4SAk6AFKCgHPSATtRIxkpVQU/1Su0vF1jButhKYUVgCwYAJ4QVxZCpXnqV%20IBEUKfDB66AgA0BjB57MDz7BD4bAAi2uGS5OEVCyD9BHT0rjyVLgBSwhDKLmRRnTEbRzMVShFiTA%20P5AlDa6hGbaBDdLgFmwFBodSUilxPeWRPXMFFRIgBWAhxEJz8urTQdAgDqCA3fZTYPvTu2bRRkKg%20HVLECQrgCqbLAqShC9I2bU0HBCxADUCkHo4KKb7UcniVYuvKYhnU63ogA2xgUP86VAJWg8rokBcW%20oDd1pg+QRjRYlsxeIAX2a2aHw6NsljFvkhiOBVnYYAbAwA9+4VXAjT9KS1J1EJPcVWkzcUhjoQU+%20hYOk9l6fsujQwASgwF9T825fpGuRYqqEtVrkIRe4gLqkwZuSqAKyAq1m5wqUoRJe8yzg4QqRyW5v%20lzXzFh68zgQyoAX2CTQSYQh8QAjicAYKdxIUQQJENHEZi2XPoAUsgcwsQWb7C8280RL2YDGVDzkn%20bFzZ4Br6QQBcZTz2rM4sjB2LBdAmKB4FzT9uIQF2IBcoYDo+7F4NYh8B52j0kz/p6oKld7iqKkTk%20wQV0AQSkwQqS6F9KOImkQbr/uuGHioIeHud5kyJ6NXhyVOxU9aAF+DZ7z+B5hOAth+AImuERxFcJ%20JABo+qAPTGBlGbd9VeB9YZRTJMsbw2A7JbcJLlc8kKXKsCFow4OzitZsRFcoZ6p0k/aA+4MRF68H%20XiA5ohaCD6JZNEgGpkc/cUKekGxrbxOKLOcG3OF3dUEc1oB4veIrXmdfBEGtdOEEuHQmXjgnYliG%20nc5ibRiH94nhePgRFkEIFgE3cmASPkEDguZ8V1ZmDOkFspeJ0WyjMgpR7cd+hoMF3uCUeJYNgvZz%20RVfQLvOTbuXw3DXDBK1sbiECUmAL2JhTX7cfe0A/71hhMviR4yopqqUAdMED/7ogiYwkYMICBooX%20SDyAC1IBx5zEyJR5IMEUKST5AXL4jXgYGzggAoZAAt9LET55DEK5NGQmexluB045cr2RlfeAMSdA%20USkoc9mgF24BbMCTP2pqbj7JliUIk5aWPREYAQgBF0QxamUAP1+3FB8kKsUZXjyaInMoKWqVFXRh%20DboAdq65KipgYFiaKroAnFTCXIrs0R7ZNTWtHcyZCizhyagADHwAG6JxEXLAI3lTA6YVDaAAiR1E%20FKfD1eKuiU9ulVk5CPTuDRjgsxgAVs5VdHsuUgmYjJPWl89VVqiAAraAEj4sGaClH+GYo2XgHw+O%20mWWYV3MCR4KAdtZAkANmhP+TyHjDIioaYUlcAGHA2XOYy6atiob/wYbP4AFiRn134KcjJQI44FEW%20QAkUIWhIIak16AwwejpeLQV2QBKi+uS80Qio2hFemQhsAW8MeoIqkyjpzLQsszLXsyhx+/oougUs%20xEEgGKhGbILj+AziekoTG7lO7R9wpBWoy1/AokiymXiDoa+7ICoGRgR4hBvkoXOoigCR2zUNgARM%20gATw6wHVWaglUI+GoDXGQKmnJ2ZSYDqq5mkUgLI45Thi9L8+ag+CwL8dgQ9qAZZR9/pICbcnUaID%20pLPccWcXD0dZqQpQIQ22oRmaAQSAYQtsYAtkYMO3wLcT4qekJRmm6ep6IiL/T7ze0OK7c/VKW9zF%20X7xgR2+5QWe5a1z/YByY7ACq2sEJasB0tmIr+oWEuaJIirevW+d11MoFuPtNosiRwXvV2qENlFoD%20zsASlrFDF0EO2LkUHuUIlKBnSCCUccE0Xy0xm/RSFMAIUMCiLCW//yu1+zv5GLMWVsEoE/wLngGn%20iOUny6bOjgXCevLPuy9sWElA0oANKLQftoDRGZ3DH4QfIX0fk+EP3K2OTQbFMx39TIY1cdzTP91z%203M3GR13U+68ru1KGGvKFiEnH6UEe5sADpAGwqYJ4A5ubYCArWue6u0AX3KodXAiGVxzKTTxPIAAM%20UOAFTKBNhWAIHoEDmF29/5UgA8wXaabnDJKhB6aDgywBBfbAviuKsjRlUBOzEFVAsiQhDwa8CiDR%20z7xt5kbJzlYqk9ZBk3ruwXslzn4Z0dkAoK4BGAzis/VET2a3NADlDBIBFwoBqhbSlxp+4cHUYiMe%204uEt4tVi9C4e4y/e4pWJZNppVIeiyP7BHezBAjxghL2CiIj3dQCGeKuZdaxgrSqhHcqUXp582Hei%20erNXANDgBXDgLhIhAzgANTggB3LAB5TgAajd2mPG1UxTSxQAByxKARQAv530iRsJHOFHEgTcP87x%20PCuswh4xzkKr3u39bW5upcgDHPZd0eO4B9yeZm4YiU1DTxJhCWLA4fP+4f/rb+Il3u9TLEGHIuMH%20X8YrFp0M0GSOSl1MXIzi5HHaYQBCuAIaYWCsIJtz/V9g4AOwopqhuwJQuAbuocl3Vdhvngv/IR4M%20IAUoIS5JIAzuQggygJAiwAeKnmnAQAPmee5DsQVUQBSfJs0pZeonoFNswAhUYFBVQBIaQBLCBN0b%20oAFg2aXq/RJrGzMHuMCznzIVD3MlfJYDigTe/u0PYvyRpuChoAUOwf0Mcv2b8NPd5U18QtTnn9RH%20yP5JKEdIXf8tXdMBop3Age3qESToLmHCdk7U6OpS4QMAAB8qWLECYyKMjYIsBqsAoxGAjV1AzHHX%207t8/dipbsmwJM6bMmTT/a9q8iTMnTHgrDbxQseDaglY78ggRsMiHjxyTPmV4AObBmD49elA506KF%20jB4tUtgwAQGHgj17KNmgZIRSCiMYVGB4i6HBEkl0MUjK0+ANAgYIzhEhwuAcA76E9w42jIDIl8UM%20vjRG8GUvgsmUK0OGvDhzZMtVbqVJw+bRjBlKgMk4vRV1DxlnqmbtAYWPHXbvaNuujZud7t28e+t+%20p3MmbuH/gBsvjvx4O5TMlztv7u649OTID1o/aNB6PYPbBy4c6GWOLmkSJ36AUSH9yEYwrHzosiZ9%20hUbsG1nRJU7gypgvg/v/D2CANbHTRgthXMHLNTOEYUAescygjhwzZABG/1RgkNAHFD2ckQwVWWXl%20FiVnUKLAWBRAcAIFexiRggpGuBWGixMEEYQaatC4Rx6LVEGZZj7+mJlghA1GZGOa/YXkYpfdggCT%20t1SBSpRRptFLL5lk0swkioigxRYQbAHmFqd5KUOYYKKYAj3vpCRgm/9cB2c7AcxJZ5123olnnnrS%20udxCCXnxXKDMKSTocvY4IY8T7sjjDibKPGSFRhupNx96FQQTjCBrVDTRRBXoYgFKNPXnZqmmuskT%20AS28MEkzCzSDAz6FNMGLHHI0k0gsUl2Y4YZXteDhhymksEcYOKCwBwbEqmDDsG3BhQGNNS5z4zIK%20LNJkk0Bum9leQjYGrv9j4jKAJJKPTVZFuumiQggiiNDyxA8raAJHOeUMc4IWuZjJ7wmmQACBFiRo%20UY4jIbwJ3Kn+xXldAFE8DHHEEu95p8QWS9wnc14M0EYBHX9cwAAGSOFKKkHMOMGMJ0+QCwTK5HsC%20CSc8akEX5klkUQUAgASDIIJggskp3XSRUUgjeXCFPAbJRKrCTj9NU20rtWGDJa00k0MzTWzAzjyf%202KoEFGOAMYYsY4xhQms9JNNVCypkZUkKlKAwwYsopPBWC2qxRRYKKOygglsYoEBXLUhghoAttgBW%205LkIPFNZ43xZlm2TUVaRBipU9lJGJke8Qowf5SSTDB+OnM4HBZR0Akz/68BA0AlYsgPTRx+0n0G7%20CcBgaEk+99zjez7C//678AodqlDyyi/P6PKLygN99O4g2vz0+tiznTv1hDDAAAV8Dz74p9SABx42%20lq9G+ea7cMcdc7TvPvzFFMMKKyLUv6UGIuyvgRb+/w9AMMEiZSk7mQJUJgUgfE9k3huABTxwEfNk%20xCKN6IIgNnIKQQTjFNVYgyDKYx9d6CIho4KaCU/okql15RPN4EUzUBAP3UjAVgsAAxTOAAUwkMIE%20XDlDsDz0NgrILQViccvd2kIBI/gNWRgwwh4koYIwDI5wkmgAEhwzmL9IrjCTm8y3BiOYc1SGR+pC%20xS3AgYRV0EJemlhC/wP4IIkWLIEKS6hjHT3UCdb1AxhaeF3rbHcGahwAEmYwQxsOwDrbmeAAziAe%208Ig3vN8pb2Md85glPeY9OqTCCAaEhQEnAIstaOEEMCulMrSgvy2JQAP2ayUr5ge/WLqvGy5IX/mY%20ccv0VaMGpwifLwdwgxvQIwTE9MJ2iGkPhDhHIIQSFHQW5YR8RFMfTmCFLqxAHwCIJCIA+GBGPoCp%20YHTjFMGwoEhEIsJ7uGMmTUOhO0sltXa04QxW48UCeBEGfOhzDBF6QBPG8IAzpICHZziDDYKVlWG9%20QG6WmAAO4MIWDFDABkJcS992gFHA0aUOtdCLF9cBRiKJcaSUgZzlbv8hJVRUiXOdOwIxJEACZSyj%20RgrAwzKYwQhmMOOmOtWpC9h3h27MQahDjaU11GCNpCbVlni4wzA6UIwOsGIY7ivGHExR1WHUzwL7%2025IiWrHKYYxyZqUU2Am2EAQFpGJGqVAAjdoqBV+GzwAFqAT0gGePvNrDC16wR0K2A9jshYAezGzH%20mvRDD3io6R3Ocwdfq5coOBF2su0gLMOyR496+HVQ7shHB67pnk5Z6maCgM8GmVFObU5QF1fQz35g%200s53yhZALGmHqlKgCF7wIgco+Ac+/kEAHhKAHQZoARqg0AKs/KoFO0gBcynQlWGhQAHPgosQ6TYB%20v60oD0WRhCPo0oD/BhyBL+fgUWAO05dnfOMZ6WDvM55xC/i2y12rqO8PfiCLBNhLFrLQwDCGIQ4N%20dEDAHeiAOA6MYHGsYQ31K7CDBQHV992hGHeopfoufAeozq8Y1pBryAbgBUBkFnmIcoKinrcoFEMv%20IYwy8aGc4AUn2INRwqux8KTH4r1Wj8U7Tl5KKitiw9KDHi0RcmMVgmOBZEcglmWYk9vBqGXKQzwQ%20ySZIIiKR9oTTBZiwgHw+IJL7iEAeKWlabGeL5pzEs0CWyO09VcAOrrUDHwLRzR9wQNCsvGAHWeGD%2026JLCUscEFpvEaIR0mIDNMQhDuJwsKO1wAo1roIYP5g0MYjBAREQ/+MVV+B0Kz4tArAyeMMUjt8c%205qeFO4ApFzIwxZnEtIVkiCkXFMiFIA9gBgO0gQCF0Ic+hIeoGD7MYQGIx8OcgY8oQKJ2aRPCAeIB%207Xjg4x5RKLbDjm3MJw+kHl7YAKAKS5DtXTYES2bHPfR5jzpHe93x8J3zgOfuhLCjHfOu95zpbO8z%20C4dNa2LHkItjWDa5RDf/kMcWuCCN9KAHPRShSHqkEQxmkHMOEPdUBbqgi2GsczcqcW2aP+6f2qoq%20DG7mRQrivIF2bOAP7YDHH/DBDgKooCpY4fOHVOBcFhFxAoSWKN0OaIQTQeCntGQGLX96hSg1Y6XN%202IbTm5EJELzifv8UtoY/8FCDq6MPqUHIRS6sUSNrfH0LueBkKlSRC7SrIhXmiGsgAhGOuAvvYflw%20Ro0vJjFq5+MAzDaBCcwQAGcIftgRI/a2AavtbTOzO4lXcgjo3Y540Fva+YY88NwBb8EnhHidzQe7%20o51vaf+2JfTQd04M23F6s4Mn7agBFzygs22mRyIVscgpBrCGDkhDg134gBUqIA0uWEMeKyH4mwQO%208uTbRGrxIMALSG5PXrzA3pBnRzwCoJtCQCIMBV0VH/iM8xbETdA8JzQFDB0EFASBLJawxB7w9hYj%205IELmSsD1DMBOlmYQhX8V4U5zNEEQAcLFNB+KvACB9gJL9B+1PD/AtQgSNSAAy9gAkLwABIgACbQ%20BlFgWMS0ZO/gge8ACIDggf1RG/VQeimxJoT1DjcwASlCAScgC+bAG4tlWO+gJkKWMC2RgzBRGwEA%20D3YAD/DgG7oxD0I4hEQ4D/OwG3ZgB/OQG12ThFGYhLdBGx7IhLmBhVRYG0lYG7pRJ/NAMVN4hFC4%20G2A4J/PmBQ/0ewqnMxihMxZUCUCDCU5QWoKwM1ZgAVxQAKrHcR6nfH/ITm+iKijgZjkQBvAAc/gg%20edPGDvhghASCAz4EIm6Tc8NyQI5gfukXBIe2B3QTRW6BiZgYBhmwRgmgCQ3AAubAAqvoCG6Bc2sh%20LesXIz/Rfu3X/wnUkEcm0A8C8AkLcE+6NQMLIAF9cAAEEAX3EAC/g4IfKIIeqIO0IRMB54GuUA4n%20kAymUA5S8A4h4IGLJR1r4ow7OCpHGITYN4bneBtimIW44YTtOIXsCAhKuI62oYUUYyfnqIS9YYZM%20CGUi4AFdEClYVjQThCkM1gHBsAaZ0nv3wQVOYFi8cXyAKJEpxBLzRgCUQAEaYE8LoAIoiHwqYRwG%20EQIGkAJQYAM4kFDDgjcTMBZGkF2HlkQRFS1NRJM0uSIu2QTZRRYPFQYtEjiBMyyBEwYx8ok7cBU9%20kAiJQIFQIQELMAO6BZW6JYxDMAQPEAbDtXowR3DzxhMxMUyvVf9kRBYCKUBKUCA2BlB6YCmR9DaR%20gMgbyxEEXGABqUUOjSAfd3kR6fF7jSARwWABuqAMiHIPHNeWbVmRKmGRqqORvmgEqId6M7FtBDAF%20MweUKvkWE9CJmJksFAAL8YcBBeQ3g+NETaQWopkCcfOTqakCxxIjLWADVTE2UfEAGZABAvAAAvAU%20Q/CLUalbkzAEGTAESlCVO9AGjbgb+jRvJSQTYokBUHACzlkObSCEaimRpleYKFSRuuEOlXAFuuBB%205AAA4Gkpl+IRF7GXE7EGIlQAJnZuxned1bkfFpkCGbmRHdlxo3IQG2AATbAqLXJ+n/mSaaFESRSa%20cOEsa3GgPhn/BiiwoMaCA7OYXDhUOxUymxVKm7gpABiKm4owCbwJlVNpgVRZlT1QCFyzG3z4JojI%20lu0kEGP5nM85BsWJmIXJlu8Jcie6HMoAAl4mEpKyEZ2iTZ4CAx/wAWvABR2AKI1EmDaqfIe5Eral%20FhrgiwtgBAnzkTNKEPOGD87QBGHwAhTgFhOQk07ERCxyaE0UUSoJf4LDoEG5UC3gd4nQB2PzALN5%20obhZm7Spp3kqABaYAb2oWy3UDC3EFCKKmxIwBJ8wBAJABcXZiI7onikUjf/wByX5olDQBgljnWm2%20qUyqMNk5b05QCeIAArsHnhNRH53ie+Yxe7rABTWAKJi3pJ56/6PxaVtCpAEg4Iv2WaOgqhshoIjW%20N23Q1gaBQwcG4AoUMAEpgAIkczfN0iItggI4sJoMCpQHmFxQMKd0aqd7apvdiqcSIK4WSK4ZQK6A%206kLp2puLiqhDMK68qKgRYADYd336pJXxCZl/0ALPCQFm2QYd16myVaO0Ols4ag+uAAK6gCmRck5B%202qMUYQXBYAXBZwpRdn3mSLC1+hIWqRZxwAuTsAApUH34+pbVJ2wwFwU+gQYpMAUKcGjIQgkxu6AP%20qgLWmhWtAQVocDayuacSUKEaYKEZmqHk6qdCK7TjKgFK8IuCSqhNYYF9iqif8AlRO7WJoAe8gYhB%20GKkxcQM2AP8FAGOWBCCphpmxBUtwy+EEOuoBEpsRPdqwrFoBHgACrGBXi3J9MRCwZfuptkoAaxEH%20U9qR9dYbPuiD8xYFGyB4hUAAbaAHkBCBWTFdKCB0YNoVB9gaEWAC20qhPYunT3GhtUm0Qvu5UCsA%207mqopqu0gaquhSqiIhqiVCm1nyAAQmAAxtgb1NlxBGADzykD/Sq2b5K37jSweus0rsUbktcOXjAM%20rLVgEdQp2XQR4vCXrCAFydtyeIuxRXalxGsqTsqxRvC3vogBkacbfMgOPhiEbdAGZuC4L3AGJiCn%20aNMV0wqgNiADxQIBZBObdUqbdmqhezq6tSm6UEuuBFzAfYr/wIiauoOqugvQFEOLtKb7tCL6CX0A%20Cn/ggzG0tbnrtRCwFT3wu//QlWTLvcXLJhCZvI5lTd7pezrzvBQhDRYAAuJQACiBPQEQA2dIKn5Y%20wqdymClXqSkwDB87CWcgEDAHD4VQCIwLCtRKBTzkd5mblLUzpzGCXSigRHiDAn1Qp7MJBnrarQD8%20ueaqoQaMtGe8qGlcun1KlSCrrh/qA4rqrmeMqHWMtIoqBE1QCBAZhKlnW70LBTJwAj3ANbj7h8Pb%20w06DwsvhBcnABVwAKgv2EVawYK7KBcNgAALnhWfINIm8txX5eF1rBCRwTwuABgawn10KLGoDv4kA%20BSZgllQ8/6e1MwZSZCwvicUYEAZQ4LndGsYAjKHiSsYJjLQGPMeIusZpLKJu7KEOLLvETLTv6qfm%20qqhjgANY6ZUp0Qb96sFVEQJOWpjB68k4kZ1dyUzyUAAW8Jci5AHt7AGuygqpoA8ed750Ymbj7MPF%20d4K6awQawMCKoLM6BAa1Qwp9kJRQ4MpoQMVTcTYNbUQp8xZ3s6BoUJt2mqFirKcSYK4aPa5kPK5U%20Ka5zLMGmq8ylm6hKmwO8mQML4APuisAX/bSiS5saXZuK8JtgYA5t8FuNyCbtYAAAsxo39M2GrHyI%20jM9t0oXGN0yEtRIDkAsa8MhccAUisAUFkG7/YAcbgJj1vP/BG3zUIfda8tnPrjIUFUICrwwbZmmW%20SVnQfUAKDS0EZHMhUXTFzKoCxQIFnXvRnQvAHC0BHEDHdTzS7SrY7dq6sAuyKa1bKe2LSiC7RZun%20kb2n/lunURsLU1AIifVjPj3Ip4EGLdDH4uxOov3VnUyEOVhZe5VXJ5YoiLJX9VB8W63DTEPapT2j%20LEFnN+A3JHAFraAEGgABZwABPQABsKzWOZsIaKDQBd3QFVIhl5kyd4MCgYMCFN2/Y0zTPVvAgU3S%20hQ3SI+26iO2Li21PTCGcF43R193F6w0VdaoInyALTcByB+PTX3saUKACafmeRm3bANKFP9gf1/Em%20TA2w/QH/kTKBff1NW69FZ39ACYIMAWigAWAgAy0w3FWB4VXxysel0Ns6NiRwIYOTMsdi17rMy56b%203uY604GNxof93d4d3oma2NE3pZMgnABsoey93vobmxQqAYrwANcsENs83DIABWEgNTZa2wp+28UH%20D8CavPqQbvrxY4qlEvCg1Vvd1efL5P9xmPDQDl17AmhgA5IrAzbQAqrjFR/cA8btnDnr1mNAAnIO%20BrIAoNFds9Rt3U/Bvxh9qNCMxoI92IY92In6CUpbylPqzNmt4xZSIWMjNmAQB2NACmhgL2dDCrJQ%20pxrQBAZABx4MMGiAA2FNo0ve5VLjq/cAbbsxJ0o4D348/3Dz9pH13OXB4aS5bQS7CwGhOZ/OdeY2%20cAasgeEn0K/K/dZz/uF+M+LTPd0mngEagOL8G8bBHLrcXdgRbMcibehKALKK7outoAg+u+MPEAfO%20zeOYftxqjeHlAFCy8AmkYAOkcBo9IOphvb3JZ+pdXpHT2YjEY47Yh7HgpuU8TOu1vjAiN5Rg0Axn%20wJ+AAzgGleYT1bvE7pxjjgakgPEkIAsnoAIHBNF27Tcn8OzpHcZ+7dfsGsHHfMbhHu50/FVXMAmT%20wAULMPNcMAngLgFAWyGyoL8kQAIYr9wV75ygjhqnQVE2gCIkoAFkPvFoYA6jt9/5js/AYX2SVxwf%20+CaqHv8DOcwOj9faTjCH1bM082AHcwLmhMIOOWzwAdIOhXAsGTADzSAAjhs4C6Us9uvBpwEw/UpK%20yn3xMsOs08pzSjRFUPAAQMveKD7TG63RZvzRKk/H7sryPy6uivBV3B7zMX8FShDuQBsHsoDslV7p%20aPCiAGMDp4/6p+9c5zcs55e/MvO1/fr0nir1nkz1kWf1HwgckYeMYoC3hOUEqaAMTzUMypAKe+gO%20wwSGTRgAGUNvOLz2/yEQf9AEOKAB14ANCzAF1d8EP9H65zdReL/3ZWnxHJ9ddNNEKCDiUADtGoCh%20FX3diy/GHM34LE7HGpDzOY//lt8KAHFl0pUrSlopkvD/IA4JEqTQnIACpQcEGRVtXLTRgoJGChs7%20UkiRAgOKkRNkUKwo48QUeP9cvoQZU+ZMmjVntmNnU+dOnj199nz3j108nP/eHQ069B6Bdu28VHKh%20S5cFXSCkclkzp4a8diHYBbDDrqm7pl8D/ESbVu1amE3/NMGh4dGMHIXa6AnTQoGKkCko2JBhAwIU%20CBDRHD5M4kQKFI0nYBApEgWaB5UtVxaQQbPmzBI8e87wWfRo0hI0SBBg2vTp04oUtYJ9EKGGOLIc%20Ep4Y+KLGFn099jWCYSSKCThIGlFBITAFCBBI6aEnlO10mjmpX8fuM2m7ePFyIk3avd2fdgVagbDA%20xYK0/zXiqIJQP8Hdv7DsxLYjizPA2ez9/fMcr4kwNJhhhgW8YmeKJlrAATK/KlJOhomaO+GEw0iB%20goLhHmNsOCg0yEADAUQUIDMQT1StxBBRS4011VyEkTUNZpwxjjhoPE0CEVajjYSHmguMN79CUiG4%204YhrrDHfTqqQlMJOIsVCA1yy7j+1irIyS/+aakoodo7KaSh3nHDCBQ90kaYLQT6oQJAKKrBijS7O%20dMEJexAUqksqteTTP++6gqSJMRZYQJEN4BnqDxyMQ6EJBTh00K8WMALMBhQUUKAJVyaYQAEcMpUB%20sT4QQ2MMU8FAtTJUSRgDVTBIiAOM2mKdVZbaGCJBFv9ccSWlV1K0IAVWEobBVYsKl6OEyA0/7RRT%20Z3GYQMnI/LIBJMgUACzUwNrYs8+fqvQ23J+4xMm+d760r517nGDGAhDWkPMDGN784INg4FwDvi3s%20aSesPNvpVlyB0YKnqRACJYHQB9iBZwN8XFIQAwXocIUkkhzsCKPAGlXAlU0naKJTV2QgZQyG+iAB%20ZVL66JWhVRtiOdiSG2LI117RcIjUCissrDkKC9v5hOYuosCIFPZIsjiQO4UWWuFC+qijHjJirAk6%20gPjjBhwuOmFSbhkeWCcswyb7Ji7tmyeAedJ1R55qPAChgi4+EAQAABqBoRG7AXgTALjxcKIeL63j%20smz/w20aD4cUBJihGSUQdSmEf+gBogUZWuCLWsAohKJlUqpljKTIRkIDRw0eOP1E1UMM8cQQUYcd%209jgUslHWV3FFQ4vDgja2QmN9hgD0FIzYAwMVRvKro2ROgmCiCqcu2hUg2rhhA3LrUaE5J6EgQKjo%20wD1cuvAPJxdttdOtxwk0pbGigrz11tvuegFofw1duJCiHUTtc6nw8cfHSTvwEQYMSKAZzViY5FoC%20sH+0AQWXI45vsgW0XoGkBY+BDAokc4LTzQ51qTsd7ECIutnZaCEL2RXNbpa7nQFvC8ADntCqBYvh%20Dc9oIZmUDJJhuZP04HIYwIE5gBCIG4QgOjOJDg7Q/9ADiXAvTP97ydigKK50Fe4racuJF+LRAQ9I%20g14wuFsY4VeB+MGgC7oQRyUAtjY7/KMd/Jpi+JqCD74YsBmyANsCJfePDdABMCloAgoydhKVnKCC%20fmkMZIQzkhMoRCG0eSQJHWlCFKawITkLGs8CA0OfdYQSFKAEJYxghEdFaw8pSNYnN6cbH6qgCeYw%20APU2YESAMZAmAGtCOSQkkRs8MY7giyOfqtilr8QgAPeRwhU80IU3WWFvYgTAvKygtw+sgSpBWCM7%201vbG+QSzbE3ZQApaoAhe8KIcRkHnO2wZAj2ooAcUgFYKdCMDKBgSDSDR0HE0aAQUcJB2NqINJW0k%20LP/cISZowKuIz4gWtWSNEgN7GGVIRvkRjGhEQhkJAw4gMQUi/oGWZjuiTADmColMpAe9FB8UpehN%20LR2TXEIJgDHZMaZigKAL7YOT+8AIg3nllIwA+AAAugACcThBf9oUC1lYSrY5tuAM5ORFMr6EzpeE%20YI8EwAEEKJDIv/jMIfhMpEiC008TyioO/agk7nT3kBYKDSVb0E21qvWRT8LiSBjgJwpO+UlPZoxo%20KZgCEAxAgBvg4z62dOM/6kEPxjZFnbf8Bx1KCgUZ/MGXwCwbZpfan6+8tJjHdMcAqILTN1WAb2D0%20KZzi9yapSMEd+8uJnjYrLoO1oAeKyAEv+HAUqkb/px2Hasc7/gAECiymQZuzJ1gbxJjhTcaE/cBV%20P3TXO569kCJbsMEWlNOJi3D3k6GkxB7Eq1dORQtjgTnDbl6QAhXgQHrUwweW7BMmeBBFLGJBS3Cn%20IBEZlOMMG+iWZge20tn2Zz+xBZhZ2CEPeUTFi2+CQftO20w4tc8KbALqnIohj3+srYoFpq0ALUfO%20BThiqkHp30vwUbB6OJAizNXe5zrSGEdEJjhoqKTugOHW5mA3u53ALixASQkaipJ44kVyY8RrNKP9%20ZTkaYYwCICHYNugjBC99CTvwEQI74MMOiBWpWIhyS8pFpAekaIFXxCfggbEZxGs5sBsTvJ8AtMMJ%20/yLwwBraF+F59dTCOW1fUC9cAamoEanzaIfg3twnouAjBU/lxQLMwVsUu5Fw8IAHWf6gABlsNQWA%20wVlGbDASRRotCGhgSIWAAQwIbMHV2RVyrCkAC1iM0ghB0Guuk6RXo31XORcRCcjo0AYCFMJh98Ev%20TJB6TA8zDNPzlc4TfSkTseghImcoRwsehqWWANDNi0ZLnPW0n3g4YQC68IAV8sZT1EbTfakNRvvw%20JjcQ1ABgdpjH2sDdp4LF49G4XUA2gmuUoBwRHw+Tcz2cQlwIRMZCc0XBciFzYxJoYdWu7gQsiEzr%20FND61rieQBA6FS297hW8f+kEKIlnDikM9g8KJ/9XAMVTS4bZB7b2sYO/pD1fnrOZHQaIiA1ikYKW%20JLvb4/v2vnsibgbuZ101QJNOTRtNnr67tBUOdIZ1kQt90AepSu+To3vQCkK1AVyaBdM/4NEGHJiA%20Chh4QUpkwClH8AEDfEjBBA4KgU6EEiTEGXkpS4mCG7bA8GcwPOYaNQViO6zA7CBAOXrQAzSoIN9r%20O1fm0TaPc2mz2Z7Pd8+t8w56AMKW6qz0P0xP6XS2Xp0xhz253DF72tfe9vmJfexnL4/b955Mvwd+%208H9fiQEUwPjFV0AQloEHLpIjmjjd897wJggriCMYweDbaT+ARnnw60shBbt/xAKPFPTgEwuYBFP/%20lF0TFLMjBG2Yggl60wIM/AUDLHAEBSbgCEfoXYZHRoFlcBbzGqVoMYKPwCHMeSU9iKUNcBh4SL3Z%20wgcD6INkYCIc8LDMy7nLmwdA+DxtwjfRQxs7MCKYAIQNCKnSi46gUKfVYz0WVKyYq4crk8EQMKrZ%20cwIvsIcxuT2uyD3dsz0v8ILjI4ACAAJXCIJUSAU1gAUXUAZl0AIoHIYO0AARsEIR0IBheEJlmAMt%20SMJUwINg8ABymDec4qm70Rszur41uBcw0hsr8AARcAKuMIqBC7/sUKecgAcjMAGyU4LuSSn2C5Oh%202IApUAETuByhwYAJMAI+qLG8Cx4KQBpOSaRF/xorHOgIjZAYV5CCNmi8o3u8mzAANBAMUpiAeLgH%20fBAPMbsvnMiHWYI52KOHmOuOe8iHe0BFdekOVLwHXAyAKPjFX4yCYQTGYvxFskBG/MAPd7CHHVTG%20ZIRG/AgBLxiA4jO+AqiBGsADPFCDbnSBO5iDcCyGGxEB11AE2gAWLai4LRC5PQiCjpECwTo+bvCC%20OcwHBrO9sXCHfHACLmITnfqzMqKfbqiEGtgzMoowD7AA3pOOCLzD61ggdzq/VvgD7ai5dGmg7KEI%20Ddk/DTECRxCkkdOrozmlG+qI4aGDKYilG3g5MBMKeKAHdohJsXBIw8EsgGkDNFAJElAAMdtF+/+K%20B3zQB1U8LC6ZxR/8SVt0BmeIh3xwhnzYxXtwBmIcRmEURqp8I24YgDYoAAPoyiMspZDbAlPQgrIc%20R1a4QlbQgGLQAlOYgzvoBhewBjXYxm2sgQI4hWocgErwAmSkvWV0h3qYPcC0vVu0PaPCj2bkFy4Z%20E3HwgHqxOggDqrv5gGoYgGpghuhrBDiRinyYj26ryYdci4JhBxTowwUYgopcP53gOTd6ixTIlLxb%20RAyqv+T5Db7AgCZQSQL4AxTEMrXDtODEtNmSNjm7Mm5wqxNwBXykPeasPXmwEzJxTidoTt5jRuec%20PXvQymo0vmwEw1SwBmu4A1O4A3AshmJgBbT/tEINqDhjMRZTgIUgkE+Ra7k22ErqoYfXowdaKhe1%20Oab/5LmgxAcviLnA/AMCvR4InCqYcEj+cQkW3CZ7EAFdaEOegj4woj44CYYaUANnCirTsoL7MSq1%20+w7RzI4FCgMTUIIFkAAAW02ZqLQn2rZN67RF4hTISIa/EImOCSwDmKWCscMoagd6gIc9solWhKLi%20JJcB8J0TmADeY7A53D3mlAetLAC9LAApSD5OCQJY2IITeM85GIYrtEJWGIZhCEdT2IJcCE818Ac8%20uMtrrMYb8ALB5IrdaxsGg9I89cGmqAfB/MGvEFQAJdTOaoo7icXYY9AvObrMU9DRU70NsDl3/6CK%20LugCdyuteZnMLgiGDtjGPnO3ENUFH4QcEz1RlwiDPrgCXngAULQJ3oo2sbCedpiABzDFDFKOjnCF%20WOLN/DQKw6I2AnvQAEo6m+QfBHOHNnCFiouDYdiC8CzPcCzP9EzLYpiD3Km4E2BH+ZyAVJACKbhG%20T+SGHfzLwZy9WNzHVPzTwLwHd7DFfMiHsbAHQMWPelDM/AgAfIiBKBBUdtjX/4yHX+TAgSXYefio%20/tnPWRTSnAvB+bq8ntsPzmNBtOmODqBQneqpnJofQVgDaTgFF5iXoJImXbgCpXJQU4VIl1ABNJgE%20XiCBF2VNoYiHPFEUrZIYo6kQ/SMAhXsJ1P9TtpkEM5lMl9D0JmhDMHsIAg4CKGWA0zi9xiKyqmm0%20Kutsm6qNUj1dF+x8zsKEV17sxa8F23v4wQK1h2Oyj/80W7T9inco2LZ1o8ZKsZnouYflucs7MPBY%20mzpzhw7ggpuqOmmiFzfh1A3Fgz6TphC1APzwEqJF2W9phxdAgwXghTF4CURBuJ3wpaaYAJudAE/r%20C9WU22gT3eJUOqOVM3eIBy8wBWB4QiDIN7SFBzoLxmAcW9gb3dudtmF1SbWAwd51vd4D3m6ykpNV%20tnbIhzmIup3CukGjnzUQBGaohgvjGzbpAi5gBSfgOcZt3J1oiYfBgTOItAVogqJzCVcN3Sr/aQoF%20eKdFTIEg6AsMsJ7zxV3RBTvTHYt2QM4TUIYTAIJ7kN39MMbZjYLajbniNOBAjKLHmg7fZWB0Ct7e%200xLiLd+kUgM0UbeqqzAwqhdBqAZM8GBMYAagYhNp0AUtkIfW3N7pWLF4aINOmAQNUAIVcAkX7Ykn%20KgsF4FzmCgkUMFJqm1/S3Tcl5RLkpJACOBdiPReCQxeqAgrwcOIn1rzO4zx00TwRtOJidYn/1eL/%20HRcC/kGXMKx2kIcBQA+MvTp1A8gKuD4RfpMusAALSIVySZvJSeG1UE0CkIBJaNlJwIAvmVmemLam%20aILAYF9FyjvwW78DBuIgFl1y4QYKOYEC/zgx16Nk7YDiS6ZidMG8TO68K+65n9jiUOaPnvDiL/YS%20McYEC/AA02K30row1LICKwiGNThDAHCTqhgA7viKlkDkOv4JfEADObiGa8AGOeCFr/GJzG2HkRm1%20BjmeGmuC3fVlH46JWdyAwogSbknmH45VUd7iQb2iAyvUZPZmLb7kS9aSAOqSc/FPMVYGm4Jl6Hsm%20vskpGPgAaTAjC2AFrjiweUisafYJyQEwJRDmGVAHOZADHOg8aU7k/mmKkZGBRXSE48GAFjAHhgZo%20BE6xDTiJhwDEGubmJypnLQZncS5pUB5pOpPYcwaPCMaycBbjAkC3nfqAWFYtu8kbNgmGef8RhLrx%20AA9QA6MKgNj154z2iW5rh4S5BjlQB2wQXz0E6VZsB3OoCAxwBBx45haYAqNOi3coBCaSiELwZNH7%20lrFGYQaV5lIuC7Oer2h0a2VEC0Ue3ZNlZ2MCLXtghWXqM9JCQ7yJJnmpl5rOs0ogi5gaaozmapgo%20BD4aDyCABAyYkvKl4SNds6agA4oYCRywO0fQ6sT+ifcbg3KQCAJga2gTF58VKbUel7d2628J6Vjt%202c8Ci9nLBTRxPp/Km2f62zaekw7ABH42JphEbM/mLPp9BwPwof5zEA0ygATT6Iye7JcwACUAgx6Q%20vMVmKWEl7pl4mJz4A0XIs5yyG/jRG3z/oWXqsx8uuLJOPqztDpfc/QcDWB6QfBoUaAGzKwosNlHr%20wIekIAAC6AMlyDY0SIQeDib9Ju5ua4KflgZBaIQPcD40lKbrC2x3SQV3CAH29h/37pNpO+6q5hDm%200mb4zuiH6TaEC4QhUALPwAH3Wyrt5nDpKDoX7QCquD41aYT4uRv3aR8x5IIOcAcvAJP52vAYH96U%20+hL5loH+KxKRUAGmIPGM7t7I+YdCyAF1MJBr4IVAIE4jrwkXVbN+RDdm6oIcB6Nospv2UUgLcAJu%20CC50GSYvj+BYfYc2qIj+Yy/2UgHsjvJpllGjiAOmVodtKGbKfXEE5+rLFW5u0AAuUA/q/wtseeGp%207eMCEagExLw5ORtuOU+Ly2qJNpjvCaghFUCBQshvDodqeIACpp4BbDjoSbiBzUJ0gMasvvSCOXjj%20LuqbaOoCaTiTOTgFKW0HQGjNIuf07HgiTKvzUC8avkABF+3zaS5VTNsAG1iAGeCFHJiEFtgsGEf1%20yo0JwVSAK3B0qZAKuOkiWCBspbo5BNv0Y99m6xjOQLjzzm1yHPCKU/fsbnPRipQcwvoDf5d1eAf3%209aPBOTyFYaAKqbCADqiGcJhD3hsPpII2Yyf46Zg2eriBZIAAPK9oQDr1Wb/4ARP57Xb3rS2X8hFB%20IR3568jddtj4jteg2myCPIn2lk9SnP+PCcK538GUrbIYnLOWLZ1XCw//g2SAgkL2iykIeaLP7pKX%20880DiwNbeah3+ixD4KOX+choASCw+ee++vCxeiNHF/+0gxi44rDHDg/fAArogaeBjPtuerVXqbHn%20aswyn7TRN0Cm+3iPiRDgAwjgg84VDgrgFn3v+/+x+4zG+05+3aRb/JH3cC8I/NGp6O5x7shP/CvR%20fF82bSG13ZiIOSqR4M2XX5gIgRQQ/PoTjhboJcQ3fZsM+8936NBvC8/yktj/ZUxTASg4HklQARnI%20g4/WfTnq/OJH/pgAVpfAAN/HahVogSZQoOQ/nOOn/ut3IztQgWwTpx1or8vFfpIP//H/p44tcwlz%20gII8WBQVcIQwkBzrJ//Qjf/5/2U9bAIwYBA+QLya/weACPFvIMGCBg8iTKhwIcOGDh9CjCjRYDt2%20Ey9izKhxI8eOHj+CVGjx3x9Q5fKowIBDxRR4IV/CjCnz4MiZNm/izKlzJ76B+NiFUJEHR5MmPQwI%203Kl06c2KTJ9CjSpV5wZ28B4sICVByaQpA11ODSuWYc2xZs+indozhMBy2NTNUCdHziefae9KdYp3%20L9++H5PCmySnGbYZ19TxuhGip9/GNss6jix5MuMbxK4VbqZOXbNCkz9/1At6NGm0AtkRgDJkwYJW%20YJr8Y/enNO2IkGvjzv14A0F6vH8PT7yte7jo4caPdxy5YfY/tl+RQ48dfTr1hkml/wP7HN/16qSL%20ew/vffba5wSFi5eMPj379u4lg38vfz79s+vr48+vP2b8/f7/A4jRfQF6FBAAOw==" height="244" width="437" overflow="visible"> </image>
            </svg>
          </div>
        </div>
        <div class="fig"><span class="labelfig">FIGURE 2.&nbsp; </span><span class="textfig">Tray seeding machine, 1- Support frame, 2- Movable tray support, 3- Seedling head, 4- Suction jar for seeds.</span></div>
        <p>The
          rice tray seeder machine is pneumatically operated (it is connected to a
          compressor), it is manipulated by an operator in charge of assembling 
          and disassembling the trays on the mobile support (2) and keeping the 
          seed assortment in the head tank (3). The sowing is carried out in a 
          synchronized way of four operations, the gauges make 20 traces on the 
          moving tray, while the jars (4) suck the same amount of seed in the head
          deposit and release them into the conduits that deposit them on the 
          trays of the tray. With this equipment a productivity of 30 trays sown 
          per hour was achieved.</p>
      </article>
      <article class="section"><a id="id0x8ac6b80"><!-- named anchor --></a>
        <h4>Methodology to Determine the Composition of the Substrate</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <p>According to studies of <span class="tooltip"><a href="#B7">Hernández <i>et al.</i> (2016)</a><span class="tooltip-content">HERNÁNDEZ,
          B.M.D.; DÍAZ, L.G.A.; CASTELLS, H.S.; LEÓN, S.L.E.: “Adecuación de 
          sustrato en semillero de arroz para trasplante mecanizado”, <i>Avances</i>, 18(1): 49-56, 2016, ISSN: 1562-3297, <i>Disponible en:</i><a href="http://www.ciget.pinar.cu/ojs/index.php/publicaciones/article/view/147" target="xrefwindow">http://www.ciget.pinar.cu/ojs/index.php/publicaciones/article/view/147</a>.</span></span>,
          in order to determine and adapt the components of the substrate for a 
          carpet rice seedbed under conditions of the southern plain of Pinar del 
          Rio, four variants were decided to prepare the substrate, taking into 
          account the recommendations of the consulted bibliography in <span class="tooltip"><a href="#B15">Philippine Rice Research Institute (2009)</a><span class="tooltip-content">PHILIPPINE RICE RESEARCH INSTITUTE: “Philippine Rice Research Institute”, <i>Rice Technology Bulletin</i>, 60, 2009, ISSN: 0117-9799.</span></span> [10] , the substrates tested were: </p>
        <div class="list"><a id="id0x8aca380"><!-- named anchor --></a>
          <ol style="list-style-type: decimal">
            <li>
              <p>Sifted Dry Soil (ST). </p>
            </li>
            <li>
              <p>Sifted Dry Soil + Sifted Organic Matter (ST + MOT). </p>
            </li>
            <li>
              <p>Sifted Dry Soil + Sifted Organic Matter + Ground Cane Dry Fiber (ST + MOT + FCSM). </p>
            </li>
            <li>
              <p>Sifted Dry Soil + Sifted Organic Matter + Ground Cane Dry Fiber + Carbonized Rice Husk (ST + MOT + FCSM + CAC). </p>
            </li>
          </ol>
        </div>
        <p>The
          substrates, according to composition, remained at rest after mixing 
          for: 40, 30, 20, 10, 0 days. For each substrate with its corresponding 
          rest days, 4 trays (30 cm x 60 cm) were mounted, according to <span class="tooltip"><a href="#t2">Table 2</a></span>.</p>
        <div class="table" id="t2"><span class="labelfig">TABLE 2.&nbsp; </span><span class="textfig">Location of the different substrates and resting time.</span></div>
        <div class="contenedor">
          <div class="outer-centrado">
            <div style="max-width: 1160px;" class="inner-centrado">
              <table>
                <colgroup>
                <col>
                <col>
                <col>
                <col>
                <col>
                </colgroup>
                <tbody>
                  <tr>
                    <td align="justify">40 days </td>
                    <td align="justify">ST</td>
                    <td align="justify">ST + MOT</td>
                    <td align="justify">ST + MOT + FCSM</td>
                    <td align="justify">ST + MOT + FCSM + CAC</td>
                  </tr>
                  <tr>
                    <td align="justify">30 days</td>
                    <td align="justify">ST + MOT + FCSM + CAC</td>
                    <td align="justify">ST + MOT + FCSM</td>
                    <td align="justify">ST + MOT</td>
                    <td align="justify">ST</td>
                  </tr>
                  <tr>
                    <td align="justify">20 days</td>
                    <td align="justify">ST + MOT + FCSM</td>
                    <td align="justify">ST</td>
                    <td align="justify">ST + MOT + FCSM + CAC</td>
                    <td align="justify">ST + MOT</td>
                  </tr>
                  <tr>
                    <td align="justify">10 days</td>
                    <td align="justify">ST + MOT</td>
                    <td align="justify">ST + MOT + FCSM + CAC</td>
                    <td align="justify">ST</td>
                    <td align="justify">ST + MOT + FCSM</td>
                  </tr>
                  <tr>
                    <td align="justify">No rest</td>
                    <td align="justify">ST</td>
                    <td align="justify">ST + MOT + FCSM</td>
                    <td align="justify">ST + MOT + FCSM + CAC</td>
                    <td align="justify">ST + MOT</td>
                  </tr>
                </tbody>
              </table>
            </div>
          </div>
        </div>
        <div class="clear"></div>
      </article>
      <article class="section"><a id="id0x54b2000"><!-- named anchor --></a>
        <h4>Methodology and Standards for Seed Selection</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <p>Selection
          of the seed. This is done by the seed selection method by specific 
          gravity, for which they were immersed in a saline solution with a 
          concentration of 1.13 g/cm<sup>3</sup>, taking only the seeds submerged in the bottom of the container (<span class="tooltip"><a href="#B10">Minh, 2012</a><span class="tooltip-content">MINH, R.: <i>Manual técnico del sistema de siembra de trasplante mecanizado del cultivo de arroz (Oryza sativa)</i>, Ed. Instituto Nacional de Ciencias Agrícolas, INCA, vol. 1, San José de las Lajas, Mayabeque, Cuba, 2012.</span></span>).</p>
        <p>Determination
          of germination. The purpose of germination tests is to determine the 
          maximum germination potential of a batch of seeds, to estimate its value
          for sowing in cultivation land and to provide results that allow 
          comparing the different seed lots (<span class="tooltip"><a href="#B10">Minh, 2012</a><span class="tooltip-content">MINH, R.: <i>Manual técnico del sistema de siembra de trasplante mecanizado del cultivo de arroz (Oryza sativa)</i>, Ed. Instituto Nacional de Ciencias Agrícolas, INCA, vol. 1, San José de las Lajas, Mayabeque, Cuba, 2012.</span></span>; <span class="tooltip"><a href="#B14">NRAG/CTNR, 2012</a><span class="tooltip-content">NRAG/CTNR: <i>Arroz con cáscara seco para semilla. Determinación de la energía y facultad germinativa</i>,
          Inst. Instituto de Investigaciones de Granos, Procedimientos y Normas 
          para la Producción de Semillas de Arroz, La Habana, Cuba, 16 p., 
          NRAG/CTNR No.16 Arroz, 2009. Anexos NRAG. 105, 2012.</span></span>).</p>
        <p>The actual seed mass (Mr) per tray varies depending on the percentage of germination of it (<span class="tooltip"><a href="#e1">Expression 1</a><span class="tooltip-content">
          <math>
            <mi mathvariant="bold-italic">M</mi>
            <mi mathvariant="bold-italic">r</mi>
            <mo>=</mo>
            <mfrac>
              <mrow>
                <mi mathvariant="bold-italic">P</mi>
                <mi mathvariant="bold-italic">r</mi>
                <mo>∙</mo>
                <mi mathvariant="bold-italic">M</mi>
                <mi mathvariant="bold-italic">i</mi>
              </mrow>
              <mrow>
                <mi mathvariant="bold-italic">P</mi>
                <mi mathvariant="bold-italic">i</mi>
              </mrow>
            </mfrac>
            <mo>,</mo>
            <mi mathvariant="bold-italic"> </mi>
            <mi mathvariant="bold-italic">g</mi>
          </math>
          </span></span>).</p>
        <div id="e1" class="disp-formula">
          <math>
            <mi mathvariant="bold-italic">M</mi>
            <mi mathvariant="bold-italic">r</mi>
            <mo>=</mo>
            <mfrac>
              <mrow>
                <mi mathvariant="bold-italic">P</mi>
                <mi mathvariant="bold-italic">r</mi>
                <mo>∙</mo>
                <mi mathvariant="bold-italic">M</mi>
                <mi mathvariant="bold-italic">i</mi>
              </mrow>
              <mrow>
                <mi mathvariant="bold-italic">P</mi>
                <mi mathvariant="bold-italic">i</mi>
              </mrow>
            </mfrac>
            <mo>,</mo>
            <mi mathvariant="bold-italic"> </mi>
            <mi mathvariant="bold-italic">g</mi>
          </math>
          <span class="labelfig"> &nbsp;(1)</span></div>
        <div style="clear:both"></div>
        <p>Where:</p>
        <p>Pi 
          - Percentage of germination of the ideal seed of 95… 98%; </p>
        <p>Mi 
          - Seed mass per ideal tray of 130, g; </p>
        <p>Pr 
          - Percentage of real germination of the seed, %. </p>
      </article>
      <article class="section"><a id="id0xcbd8280"><!-- named anchor --></a>
        <h4>Methodology to Analyze the Vigor of Plants</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <p>To measure the height and thickness of the seedlings, the method of the Standard for Rice according <span class="tooltip"><a href="#B5">Graeguiles (2000)</a><span class="tooltip-content">GRAEGUILES, J.: “Reed Rice. Research in control”, In: <i>Simposium Heldat Texas and M. University</i>, Texas, USA, p. 5, Proceeding Ofred Rice, 2000.</span></span> was used, supported by a tape measure and a caliper with accuracy ± 1 mm and 0.05 mm, respectively.</p>
      </article>
      <article class="section"><a id="id0xce91a80"><!-- named anchor --></a>
        <h4>Methodology to Determine the Quality of the Transplantation Process</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <p>The
          following variables are to be evaluated in the experiment, assuming 
          that the water sheet and the ground are parallel lines (r || p) and the 
          plant (s) is perpendicular (<span class="tooltip"><a href="#f3">Figure 3</a></span>) (<span class="tooltip"><a href="#B8">Menéndez <i>et al.</i>, 2012a</a><span class="tooltip-content">MENÉNDEZ,
          C.L.; RAMOS, D.S.; MIRANDA, C.A.: “Determinación de la tecnología para 
          la obtención de parámetros de calidad de las posturas exigidas por la 
          trasplantadoraTMA-4 para el cultivo del arroz”, <i>Revista Ingeniería Agrícola</i>, 2(1): 59-64, 2012a, ISSN: 2306-1545, E-ISSN: 2227-8761, <i>Disponible en:</i><a href="https://rcta.unah.edu.cu/index.php/IAgric/article/view/582" target="xrefwindow">https://rcta.unah.edu.cu/index.php/IAgric/article/view/582</a>.</span></span>; <span class="tooltip"><a href="#B9">2012b</a><span class="tooltip-content">MENÉNDEZ,
          C.L.; RAMOS, D.S.; MIRANDA, C.A.: “Evaluación de la calidad de trabajo 
          de la trasplantadora semi-mecanizada TMA-4 en el cultivo del arroz”, <i>Revista Ciencias Técnicas Agropecuarias</i>, 21(2): 34-37, 2012b, ISSN: 1010-2760, e-ISSN: 2071-0054, <i>Disponible en:</i><a href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S2071-00542012000200006&amp;lng=es&amp;tlng=" target="xrefwindow">http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S2071-00542012000200006&amp;lng=es&amp;tlng=</a>.</span></span>).</p>
        <div id="f3" class="fig">
          <div class="zoom">
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              <image transform="matrix(1.7606 0 0 1.7606 0 0)" 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BAYkwQxm%20SII25VPjN00BBq5sR/+Ah5uBDgS0D2HALWyhhSY0oQQzFo2pUpDZcrLCtTx5bmt4/A8MsJb/Ibci%20SEYtQxAfmPFHtkDuG/jru6fI4KQOifND3Smf5dyCuF/RgAZ40gS0UuIdnpjConWigRSkoAoq0EYP%20Ns1pbVQhBZMWSBgQvRBBzy6lkbPyViqN6U3johawhnUPtKECZygi1CypdAqcUQUnsKK/OKCCHV5d%20C1xwugcysMJ1ls3sZjv72cy+AZKnPW0MmAED1sb2tbPN7WtT2wxF/ra4v+1Saj8hB+NO97cne5Bb%20MEB4D8aJBpyhDWLH+t74vvesnQFqklTaGSrogb1hPQ8XmLMdL2BBvmPdiD04/OFOiLgTGkTxilv8%204vpxwhWKsIGOe/zjIA/5x0XhZS+Pokcl/0+5ykteBJW3fOUwhzkQEBK5Jtdk3j1YuM53HmtceLrf%20F9GAIi6taZ7D+hKUSKsrb2F0oxvb05+2tCJurWihM+HqTFCDGnhwiqZ7/d4y4AIgBNKLItvE3TxJ%20gTa8rgYFkEEagFDD12Ft7Fqn4NYIUfTQd63pgX+9Em/whAhg4Iq3AwIQc0+84nWuixU04AgXqMAS%20DNGFAVh+ANi4ABcGUAGBsKEEbJYJ2nPijJzrXAEIGIEHPACC1rseBKsfQSLI4IXF1+LYtse3Atrg%20jwtwwA8wOMEkTqAKCkChFFCogyY0QYMB0KACXFjBCmqfe8WfYvdcqAA2zgAFKPxgAB2Igv/4O9GB%208neAFD/4ARTaIJAbsCH0MRk9Tkx/byak/vX4x78w9g8CYcAjG7OHeNXndTKgAOPABQ1AA6BAAbIA%20flFAC/11Ai/QDQbACAZwgQYQfhgYBYzQAYwgC50QeQi4Alw3gF5wBF0geWdAARRQBxRQCqTAAVsw%20AGkwAFxQgzTAAeNwATx4AW2wBANACkzAHHmgBfD3EpFDajOxdrB2CmSwBNngBm4gfm5gAFFQfu6Q%20frIgC4bACIwQBQagCRhoAFvQAXVgCD5oCzwwgLWwCUfgCL6HDcj3Ax2QBmNYCgawDsglAvpwAOBQ%20CpBwBlsACgMQB6QACluAfGdQB90HBUv/UAqloAlbcAEUoAlpYAiStwQccAGO0ACe2ABwuARAGAcM%20WH6yYHyl0AkxmAak0Iq+VwFdsALa8AgKoQhqQDZJYAtHuBYacAqb0ACTBwVfKH7qpwmk0AmGYAik%20MABnMABLsIzNyAEtSIeaIH7ipwk/UAdpAH3jsALoAAQygG9AcA4r0AaeeAFLQANpwAXNd4gcAAqW%20GIPOCIsKwANdk1bx4AqqhRCPsAno0AAKUAE0QANxkIBxMJDsmIyGAIRbIImBmAZpEAcLSQOQMHkc%20QJHp6AiOcAReACoUkQxooItzsQKdUAqy0AGycHxxIII8mH0NwAVc4AixCIrleIIroAAr/7AJXYCO%20pLAEFLAFKxgHxpgGUJCIpQAKUEABnXB8P7kEW0AKzcgFncCMpNAGFbCRgOCRIeYCMUAHb4AKFfEI%20gMADXOB7NIANUwmVFzCDAwAKMmh5W0ADWxAHmogNDbACauAMG4EBTSCScpEOSEkBaKgATBAMwfAI%20+zgRj6AAcAgJyngGhhCXUBmZHMCMAxCCzEiXK7CRapCYBSEIBcUJLkApHKEIweAF6ICTR2CObXCT%20XvAIWgkSf6YCfikXXMABY1cSKaAGKzAODbCTLQmHGjl9PKCXEhECJ0AFkSACzaUUPqAbtRkXitAU%20EcUKOOAKPuMUvqA40Xk7BkFmrrQP7f9lK9nRnd5JEDOwXXQwSTUjOOZ5nvMkAm/ACSLQYU0xCL6A%20Obt4noPAP5HgCrDEFDpQG+8Jn6DJCpGQV0sxP9kpkpshOfCJnHQwCZu0Lu3yD34JGfA5EKnwBnTw%20AorjFGiwPRnqGvCpCHpwAg5AB561FElgJCW6oVlDBy4wBrfkFECQBzESoxvqQSKgBAHVFD5wAwTB%20o/DZn67ACa7jFDbAbhgqOBq6ocgyCgdAUj/xBCKCC7awBlBqov+ghBoTArHgALRQBT6hDJigDLiG%20ELzAY0lwbsPyoNB1Z3KhAVLQE6lwAEqACigADCjwpygQElIQqATRDBJAAmLQEMrQB33/8AcF8Kgk%20IAGSCgCUWghiQAiLcKeDUqB4AQw70AeYIKkSoAyUaglicKpisAyAuqqnWgiUCgDKIKokUACTigiF%20IKoSUKqoigirCqitSqkkoF0hMASMWqzGWqx/8AflYATXkAVBkA8xF61N0A8QUK2fIACfUK3aKgDc%20eg3d+q0CYAQWoK3kWq7aGghDAAEWYARlQAhZwADfEK/yKq30Wq8qt1ZEQQyPuq9zgAk78AeHwKh/%20gAnJ+gcfcLDHmrAKewgMe7AFa7Cv0Aev8AHJerARq7AYewje4AeuoAqfMAcgG7Ii26/+eg8PcLIn%20WwYqu7Isu7Ioi7Is+wArewd3UAYv/5uyONuyZcAADECzNBsIOeCzd6AHNGuzKBsIN/sA6ra0TJtu%201BUUUrCvkDqpAGAJiLAQgwqowICqYvCnmqoQwIAI03kQvdqrxEAQV0ALreAHPSARwGAJsyq1+xqp%20VFu1XZsQUoAEw+AQfLAAQ7AIuZALRGACs8APNcAO/1AEF0oQxKC1YtAMMEEbEFoUJvAJGYAEJmAC%20z1ADnMu3nFsDxpC5mSu4JjAMisAHoSu6n/u1CrE+dsAAyJABRgABv1C7v6CuFpC76yoAC7AAufAM%20YxsRigAHuZsBuQAHGWABWLC8yBC4zvu8gRsO1CAAFtACLbC8yxsI17u81lu7lqu3x/9gE6uhG5XR%20E8fwuSZABLmADAtAvbprAdfKrfIrv9fQu/abAfObv/o7vQJADfb7v/YLvc7bu2agByGgAwD8v80r%20wM6LBMxwDEgQuJgruibADDUADQLBufSgvoE7uBT8waJbD9DFGuSQudVQDRQ8C9wgujkQBJ/7whdc%20Ew4WO4PhWCFgYTmhZQOBGoEiZ9qkCzrqEzMcGvGmF0KAAamQCurEEzpcEAGQAzzLs3kQQxNwMT1B%20G//wnH8xA0TWGpIwnjjRxLgRAAlgC2a8pQ+SCXuAYdBVxC8xUKzxFyowChFgBq4wBXowChWqE6vB%20GmOMLwbxBAsif8Jjcy0xxH1hCwH/MAV5gAb0hEKoMAoJ4JkzIcZXBsgEYYTawWY6sJ+H7MZ00Qtm%20dQNPcAUBsBr4QAt6gAGVEEM5PGI9bBAsJn/xgcgx0cd9UQL4cAujcHJo8ASPRQujkAdXgAEJ9co7%20LBmxXBA60FW0zGQ5owVPUAtPMAUrMgGV4AqVkAcs8AR5gA+jYMgtkWqtAR/LPBAMuskEIR+gDC0l%20sAcMMArZmQQEYAYMEAGghQYlcG6UfBPnLBAbcKG03MnR/G550DJC8AQEIA604EvJ8Q+D4ArXxBP/%20/A8JAMiELGYkYwMYQAtRZQPJwAA+ID05MAhE+g+kDBQVnQOywcas4cnaIgq0QAvo/2MpGBAAV0Ck%20yWADggNP+LoT/7wLl7KhuxABvuXK/xAAo0Ckg+A9ZZcE4AIEtIDDQI3J/1DFGzoBTyAP+1wjzQFI%20EVBB+MCdT7AHMUQLx9wT/xwBE4012oCltTBN/4ALOlACQpAHM/cP/lRTZSMQDLC4VV0QoxCgl+ME%20o7IGo3A3vlACiqC4gwbRX9DXeGJZgT0QXLqhSbAiPkAjvnQcX0BRPfQPVsAGu/AEPhMBME0T58xi%203ulLAiEOrqACks0AUeULPoQBA5IAoZQA80XRmGwGfnQ5BzY7wxIGCMYLvR0Ad8MyBMEGXuTbjUQ/%208KkD2FICa4NGVxU0jWAFZFYQg/9gQz6xzAENn0J9WxGgOxEAHRjQTVnUnQFAC/2s2oD8BVatPvkp%20EDrgCrqQCRSD1wVRhKFXBAzQzjOxzDlgPpfTK4ryBL6QRv+A3AahA4MAfyXQnDgRyyUS3wXzBQ7+%20D0JEVwLRCFY8EGxw3maUAG194fhi2PDJAtmZNWxGRQbRC1PQphSV1PWt4gKR3jJ6IcS13gfhQ3/2%20NBWt4/8wBYQNn3tw39KU1whRAmtV5P4sKJXV4wMxSgMB4Q/RKuEtKATgPVaO0ggk4hCRAy2aEz1s%20Bt0ko+Q1EAnwtAhhUj8RKLjgCt7V42YQI9T9EGTe5VdwSWFOEIL8EBw25wFgBTf/Huj/8GcPMT8z%20heanjOCK3gRC1hAApNL48NyK/g9swOQM8eYqfQNIvelfEKINsQFOrtY5UDub3mYWrhTJAKCtPhBT%20kOpN4UmzLhCDQAs8+yDiwLM21ckMgGD/oA1JwLOuYoQ8qzRgEMW+zrNJcFs8PewCYew8ezS6EMXM%207uwCAc9GJu3Anusejge2sFZaagtODgRm/OK6YMa3haFmDCApYMbmbsZpIgPrPhDtbgtPswvxriH0%20js72PhD4rmLifvAIn/AroWbvofBMwdp04/BFwdoSvxQDhgdwXvHf1RoZr/FAcfEd7/ErFvEif2Ek%20X/JA8VypjfIs3/Iu//IwH/MyCj/zNF/zNu8UAQEAOw==" height="222" width="284" overflow="visible"> </image>
            </svg>
          </div>
        </div>
        <div class="fig"><span class="labelfig">FIGURE 3.&nbsp; </span><span class="textfig">Seedling measurement scheme after transplantation.</span></div>
      </article>
      <article class="section"><a id="id0xd2d7300"><!-- named anchor --></a>
        <h4>Inclination of the Plants when Transplanted</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <p>The
          angle of inclination of the seedling (∢BDL) after transplantation was 
          calculated using the Pythagorean theorem and trigonometric identities (<span class="tooltip"><a href="#f2">Figure 3</a></span>). </p>
        <p>Where, </p>
        <p>1) The ∢ABC was calculated by the expression (<span class="tooltip"><a href="#e2">2</a><span class="tooltip-content">
          <math>
            <mrow>
              <mrow>
                <mi mathvariant="normal">sin</mi>
                <mi mathvariant="normal"> ∢</mi>
              </mrow>
              <mo>⁡</mo>
              <mrow>
                <mi mathvariant="normal">A</mi>
                <mi mathvariant="normal">B</mi>
                <mi mathvariant="normal">C</mi>
                <mo>=</mo>
                <mfrac>
                  <mrow>
                    <mover accent="true">
                      <mrow>
                        <mi mathvariant="normal">A</mi>
                        <mi mathvariant="normal">C</mi>
                      </mrow>
                      <mo>-</mo>
                    </mover>
                  </mrow>
                  <mrow>
                    <mover accent="true">
                      <mrow>
                        <mi mathvariant="normal">B</mi>
                        <mi mathvariant="normal">A</mi>
                      </mrow>
                      <mo>-</mo>
                    </mover>
                  </mrow>
                </mfrac>
              </mrow>
            </mrow>
            <mo>,</mo>
            <mi mathvariant="normal"> </mi>
            <mi mathvariant="normal">g</mi>
            <mi mathvariant="normal">r</mi>
            <mi mathvariant="normal">a</mi>
            <mi mathvariant="normal">d</mi>
            <mi mathvariant="normal">o</mi>
          </math>
          </span></span>) determined by the inverse of sin∢ABC;</p>
        <div id="e2" class="disp-formula">
          <math>
            <mrow>
              <mrow>
                <mi mathvariant="normal">sin</mi>
                <mi mathvariant="normal"> ∢</mi>
              </mrow>
              <mo>⁡</mo>
              <mrow>
                <mi mathvariant="normal">A</mi>
                <mi mathvariant="normal">B</mi>
                <mi mathvariant="normal">C</mi>
                <mo>=</mo>
                <mfrac>
                  <mrow>
                    <mover accent="true">
                      <mrow>
                        <mi mathvariant="normal">A</mi>
                        <mi mathvariant="normal">C</mi>
                      </mrow>
                      <mo>-</mo>
                    </mover>
                  </mrow>
                  <mrow>
                    <mover accent="true">
                      <mrow>
                        <mi mathvariant="normal">B</mi>
                        <mi mathvariant="normal">A</mi>
                      </mrow>
                      <mo>-</mo>
                    </mover>
                  </mrow>
                </mfrac>
              </mrow>
            </mrow>
            <mo>,</mo>
            <mi mathvariant="normal"> </mi>
            <mi mathvariant="normal">g</mi>
            <mi mathvariant="normal">r</mi>
            <mi mathvariant="normal">a</mi>
            <mi mathvariant="normal">d</mi>
            <mi mathvariant="normal">o</mi>
          </math>
          <span class="labelfig"> &nbsp;(2)</span></div>
        <div style="clear:both"></div>
        <p>2) The 
          ∢ABC and ∢BDL are equal because they correspond between parallels (r║p) 
          and secant (s). The depth of transplantation (EF) perpendicular to the 
          surface (p) was calculated by the following expressions. </p>
        <p>Where:</p>
        <p>1) The ∢EDF = ∢BDL for being opposite by the vertex;</p>
        <p>2) Segment BD is determined by expression (<span class="tooltip"><a href="#e3">3</a><span class="tooltip-content">
          <math>
            <mover accent="true">
              <mrow>
                <mi mathvariant="normal">B</mi>
                <mi mathvariant="normal">D</mi>
              </mrow>
              <mo>-</mo>
            </mover>
            <mo>=</mo>
            <mfrac>
              <mrow>
                <mover accent="true">
                  <mrow>
                    <mi mathvariant="normal">B</mi>
                    <mi mathvariant="normal">L</mi>
                  </mrow>
                  <mo>-</mo>
                </mover>
              </mrow>
              <mrow>
                <mi mathvariant="normal">s</mi>
                <mi mathvariant="normal">i</mi>
                <mi mathvariant="normal">n</mi>
                <mi mathvariant="normal"> </mi>
                <mi mathvariant="normal">B</mi>
                <mi mathvariant="normal">D</mi>
                <mi mathvariant="normal">L</mi>
              </mrow>
            </mfrac>
            <mo>,</mo>
            <mi mathvariant="normal"> </mi>
            <mi mathvariant="normal">c</mi>
            <mi mathvariant="normal">m</mi>
          </math>
          </span></span>);</p>
        <div id="e3" class="disp-formula">
          <math>
            <mover accent="true">
              <mrow>
                <mi mathvariant="normal">B</mi>
                <mi mathvariant="normal">D</mi>
              </mrow>
              <mo>-</mo>
            </mover>
            <mo>=</mo>
            <mfrac>
              <mrow>
                <mover accent="true">
                  <mrow>
                    <mi mathvariant="normal">B</mi>
                    <mi mathvariant="normal">L</mi>
                  </mrow>
                  <mo>-</mo>
                </mover>
              </mrow>
              <mrow>
                <mi mathvariant="normal">s</mi>
                <mi mathvariant="normal">i</mi>
                <mi mathvariant="normal">n</mi>
                <mi mathvariant="normal"> </mi>
                <mi mathvariant="normal">B</mi>
                <mi mathvariant="normal">D</mi>
                <mi mathvariant="normal">L</mi>
              </mrow>
            </mfrac>
            <mo>,</mo>
            <mi mathvariant="normal"> </mi>
            <mi mathvariant="normal">c</mi>
            <mi mathvariant="normal">m</mi>
          </math>
          <span class="labelfig"> &nbsp;(3)</span></div>
        <div style="clear:both"></div>
        <p>3) Sum of expression segments (<span class="tooltip"><a href="#e4">4</a><span class="tooltip-content">
          <math>
            <mover accent="true">
              <mrow>
                <mi mathvariant="normal">A</mi>
                <mi mathvariant="normal">F</mi>
              </mrow>
              <mo>-</mo>
            </mover>
            <mo>=</mo>
            <mover accent="true">
              <mrow>
                <mi mathvariant="normal">A</mi>
                <mi mathvariant="normal">B</mi>
              </mrow>
              <mo>-</mo>
            </mover>
            <mo>+</mo>
            <mover accent="true">
              <mrow>
                <mi mathvariant="normal">B</mi>
                <mi mathvariant="normal">D</mi>
              </mrow>
              <mo>-</mo>
            </mover>
            <mo>+</mo>
            <mover accent="true">
              <mrow>
                <mi mathvariant="normal">D</mi>
                <mi mathvariant="normal">F</mi>
              </mrow>
              <mo>-</mo>
            </mover>
            <mo>,</mo>
            <mi mathvariant="normal"> </mi>
            <mi mathvariant="normal">c</mi>
            <mi mathvariant="normal">m</mi>
          </math>
          </span></span>);</p>
        <div id="e4" class="disp-formula">
          <math>
            <mover accent="true">
              <mrow>
                <mi mathvariant="normal">A</mi>
                <mi mathvariant="normal">F</mi>
              </mrow>
              <mo>-</mo>
            </mover>
            <mo>=</mo>
            <mover accent="true">
              <mrow>
                <mi mathvariant="normal">A</mi>
                <mi mathvariant="normal">B</mi>
              </mrow>
              <mo>-</mo>
            </mover>
            <mo>+</mo>
            <mover accent="true">
              <mrow>
                <mi mathvariant="normal">B</mi>
                <mi mathvariant="normal">D</mi>
              </mrow>
              <mo>-</mo>
            </mover>
            <mo>+</mo>
            <mover accent="true">
              <mrow>
                <mi mathvariant="normal">D</mi>
                <mi mathvariant="normal">F</mi>
              </mrow>
              <mo>-</mo>
            </mover>
            <mo>,</mo>
            <mi mathvariant="normal"> </mi>
            <mi mathvariant="normal">c</mi>
            <mi mathvariant="normal">m</mi>
          </math>
          <span class="labelfig"> &nbsp;(4)</span></div>
        <div style="clear:both"></div>
        <p>4) Clearing expression (<span class="tooltip"><a href="#e4">4</a><span class="tooltip-content">
          <math>
            <mover accent="true">
              <mrow>
                <mi mathvariant="normal">A</mi>
                <mi mathvariant="normal">F</mi>
              </mrow>
              <mo>-</mo>
            </mover>
            <mo>=</mo>
            <mover accent="true">
              <mrow>
                <mi mathvariant="normal">A</mi>
                <mi mathvariant="normal">B</mi>
              </mrow>
              <mo>-</mo>
            </mover>
            <mo>+</mo>
            <mover accent="true">
              <mrow>
                <mi mathvariant="normal">B</mi>
                <mi mathvariant="normal">D</mi>
              </mrow>
              <mo>-</mo>
            </mover>
            <mo>+</mo>
            <mover accent="true">
              <mrow>
                <mi mathvariant="normal">D</mi>
                <mi mathvariant="normal">F</mi>
              </mrow>
              <mo>-</mo>
            </mover>
            <mo>,</mo>
            <mi mathvariant="normal"> </mi>
            <mi mathvariant="normal">c</mi>
            <mi mathvariant="normal">m</mi>
          </math>
          </span></span>);</p>
        <div id="e5" class="disp-formula">
          <math>
            <mover accent="true">
              <mrow>
                <mi mathvariant="normal">D</mi>
                <mi mathvariant="normal">F</mi>
              </mrow>
              <mo>-</mo>
            </mover>
            <mo>=</mo>
            <mover accent="true">
              <mrow>
                <mi mathvariant="normal">A</mi>
                <mi mathvariant="normal">F</mi>
              </mrow>
              <mo>-</mo>
            </mover>
            <mo>-</mo>
            <mover accent="true">
              <mrow>
                <mi mathvariant="normal">A</mi>
                <mi mathvariant="normal">B</mi>
              </mrow>
              <mo>-</mo>
            </mover>
            <mo>-</mo>
            <mover accent="true">
              <mrow>
                <mi mathvariant="normal">B</mi>
                <mi mathvariant="normal">D</mi>
              </mrow>
              <mo>-</mo>
            </mover>
            <mo>,</mo>
            <mi mathvariant="normal"> </mi>
            <mi mathvariant="normal">c</mi>
            <mi mathvariant="normal">m</mi>
          </math>
          <span class="labelfig"> &nbsp;(5)</span></div>
        <div style="clear:both"></div>
        <p>5) EF transplantation depth was calculated by expression (<span class="tooltip"><a href="#e6">6</a><span class="tooltip-content">
          <math>
            <mover accent="true">
              <mrow>
                <mi mathvariant="normal">E</mi>
                <mi mathvariant="normal">F</mi>
              </mrow>
              <mo>-</mo>
            </mover>
            <mo>=</mo>
            <mi mathvariant="normal">∢</mi>
            <mi mathvariant="normal">E</mi>
            <mi mathvariant="normal">D</mi>
            <mi mathvariant="normal">F</mi>
            <mo>∙</mo>
            <mover accent="true">
              <mrow>
                <mi mathvariant="normal">D</mi>
                <mi mathvariant="normal">F</mi>
              </mrow>
              <mo>-</mo>
            </mover>
            <mo>,</mo>
            <mi mathvariant="normal"> </mi>
            <mi mathvariant="normal">c</mi>
            <mi mathvariant="normal">m</mi>
          </math>
          </span></span>). </p>
        <div id="e6" class="disp-formula">
          <math>
            <mover accent="true">
              <mrow>
                <mi mathvariant="normal">E</mi>
                <mi mathvariant="normal">F</mi>
              </mrow>
              <mo>-</mo>
            </mover>
            <mo>=</mo>
            <mi mathvariant="normal">∢</mi>
            <mi mathvariant="normal">E</mi>
            <mi mathvariant="normal">D</mi>
            <mi mathvariant="normal">F</mi>
            <mo>∙</mo>
            <mover accent="true">
              <mrow>
                <mi mathvariant="normal">D</mi>
                <mi mathvariant="normal">F</mi>
              </mrow>
              <mo>-</mo>
            </mover>
            <mo>,</mo>
            <mi mathvariant="normal"> </mi>
            <mi mathvariant="normal">c</mi>
            <mi mathvariant="normal">m</mi>
          </math>
          <span class="labelfig"> &nbsp;(6)</span></div>
        <div style="clear:both"></div>
        <p>All measurements were carried out with 10 repetitions per plot randomly, with a tape measure with an accuracy of ± 1 mm.</p>
        <p><b>Number of Seedlings per Transplanting Organ.</b> Five plant counts were carried out at random in the three transplanting organs in each experimental plot.</p>
        <p><b>Distance between Plants per Row.</b> It was determined with a tape measure with an accuracy of ± 1mm, the 
          distance between the base of the stems of the consecutive plant in a 
          row, with at least 10 random repetitions and traversing the test plots 
          along their diagonals. Subsequently, the mean value of such measurements
          was calculated. </p>
        <p><b>Transplantation Effectiveness (Et).</b> In 
          order to know the effectiveness of the transplanter in the process of 
          transplanting the rice crop, a count of the drives of the transplant 
          organs was performed in a work pass, later the niches with transplanted 
          seedlings were counted in the pass carried out and the per percent 
          effectiveness was determined by expression (<span class="tooltip"><a href="#e7">7</a><span class="tooltip-content">
          <math>
            <mi mathvariant="normal">E</mi>
            <mi mathvariant="normal">t</mi>
            <mo>=</mo>
            <mfrac>
              <mrow>
                <mi mathvariant="normal">T</mi>
                <mi mathvariant="normal">p</mi>
                <mo>∙</mo>
                <mn>100</mn>
              </mrow>
              <mrow>
                <mi mathvariant="normal">C</mi>
                <mi mathvariant="normal">a</mi>
              </mrow>
            </mfrac>
            <mo>,</mo>
            <mi mathvariant="normal"> </mi>
            <mi mathvariant="normal">%</mi>
          </math>
          </span></span>).</p>
        <div id="e7" class="disp-formula">
          <math>
            <mi mathvariant="normal">E</mi>
            <mi mathvariant="normal">t</mi>
            <mo>=</mo>
            <mfrac>
              <mrow>
                <mi mathvariant="normal">T</mi>
                <mi mathvariant="normal">p</mi>
                <mo>∙</mo>
                <mn>100</mn>
              </mrow>
              <mrow>
                <mi mathvariant="normal">C</mi>
                <mi mathvariant="normal">a</mi>
              </mrow>
            </mfrac>
            <mo>,</mo>
            <mi mathvariant="normal"> </mi>
            <mi mathvariant="normal">%</mi>
          </math>
          <span class="labelfig"> &nbsp;(7)</span></div>
        <div style="clear:both"></div>
        <p>Where:</p>
        <p>Tp 
          - Number of niches with transplanted seedlings, unit; </p>
        <p>Ca 
          - Number of drives of transplanting organs, unit. </p>
        <p><b>Seedling Survival (Sp).</b> Seedling survival one month after semi-mechanized transplantation was determined:</p>
        <div id="e8" class="disp-formula">
          <math>
            <mi mathvariant="normal">S</mi>
            <mi mathvariant="normal">p</mi>
            <mo>=</mo>
            <mfrac>
              <mrow>
                <mi mathvariant="normal">E</mi>
                <mi mathvariant="normal">x</mi>
                <mo>∙</mo>
                <mn>100</mn>
              </mrow>
              <mrow>
                <mi mathvariant="normal">T</mi>
                <mi mathvariant="normal">p</mi>
              </mrow>
            </mfrac>
            <mo>,</mo>
            <mi mathvariant="normal">%</mi>
          </math>
          <span class="labelfig"> &nbsp;(8)</span></div>
        <div style="clear:both"></div>
        <p>Where:</p>
        <p>Ex 
          - Existence of niches with seedlings one month after transplantation, unit. </p>
        <p><b>Number of Offsprings</b>. The number of offsprings in 15
          plants, taken at random in each experimental plot, which will be 
          identified once the plants germinated from two months, and the 
          evaluations were carried out every 15 days throughout the crop cycle.</p>
      </article>
    </article>
    <article class="section"><a id="id0x5026480"><!-- named anchor --></a>
      <h3>Discussion</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <article class="section"><a id="id0x5026700"><!-- named anchor --></a>
        <h4>Characterization of the Research Conditions</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <p>The
          experimental investigations were developed with six rice cultivars 
          INCA-LP5, ROANA LP-15, GINES LP-18, GUILLEMAR LP-19 and JOSE LP-20 by <span class="tooltip"><a href="#B1">Colectivo de autores (2019)</a><span class="tooltip-content">COLECTIVO DE AUTORES: <i>El Cultivo del Arroz en Los Palacio</i>, Ed. Instituto Nacional de Ciencias Agrícolas (INCA), San José de las Lajas, Mayabeque, Cuba, 2019, ISBN: 978-959-7258-01-8.</span></span> in the research areas of the Los Palacios Scientific Technological Unit
          (UCTB), of the National Institute of Agricultural Sciences (INCA), Los 
          Palacios Municipality, Pinar del Río Province, during the 2019/2020 rice
          campaign.</p>
      </article>
      <article class="section"><a id="id0x502ae00"><!-- named anchor --></a>
        <h4>Quality Parameters of the Seedlings Required by the ERP-60 Transplanter for Rice Cultivation</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <article class="section"><a id="id0x502b080"><!-- named anchor --></a>
          <h4>Analysis of Seed Gemination and Seedling Evolution</h4>
          &nbsp;<a href="#content" class="boton_1">⌅</a>
          <p>In studies carried out by <span class="tooltip"><a href="#B10">Minh (2012)</a><span class="tooltip-content">MINH, R.: <i>Manual técnico del sistema de siembra de trasplante mecanizado del cultivo de arroz (Oryza sativa)</i>, Ed. Instituto Nacional de Ciencias Agrícolas, INCA, vol. 1, San José de las Lajas, Mayabeque, Cuba, 2012.</span></span>; <span class="tooltip"><a href="#B6">Guerra <i>et al.</i> (2013)</a><span class="tooltip-content">GUERRA,
            V.M.; DÍAZ, L.G.A.; CASTELLS, H.S.; LEÓN, S.L.E.: “Proceso tecnológico 
            para la germinación comercial de la semilla de arroz”, <i>Avances</i>, 15(4): 406-415, 2013, ISSN: 1562-3297, <i>Disponible en:</i><a href="http://www.ciget.pinar.cu/ojs/index.php/publicaciones/article/view/121" target="xrefwindow">http://www.ciget.pinar.cu/ojs/index.php/publicaciones/article/view/121</a>.</span></span>; <span class="tooltip"><a href="#B7">Hernández <i>et al.</i> (2016)</a><span class="tooltip-content">HERNÁNDEZ,
            B.M.D.; DÍAZ, L.G.A.; CASTELLS, H.S.; LEÓN, S.L.E.: “Adecuación de 
            sustrato en semillero de arroz para trasplante mecanizado”, <i>Avances</i>, 18(1): 49-56, 2016, ISSN: 1562-3297, <i>Disponible en:</i><a href="http://www.ciget.pinar.cu/ojs/index.php/publicaciones/article/view/147" target="xrefwindow">http://www.ciget.pinar.cu/ojs/index.php/publicaciones/article/view/147</a>.</span></span>,
            the best quality of the rice seedling is achieved when they are 
            developed in the substrate made up of four parts of sieved soil, four 
            parts of sieved organic matter, one part of dry cane fiber ground and a 
            part of charred rice husk. With the aim of performing the investigations
            close to the real conditions of farms, these studies were mounted on 
            the basis of the two main variants of substrates that can be obtained 
            without difficulties on the farms themselves (<span class="tooltip"><a href="#B7">Hernández <i>et al.</i>, 2016</a><span class="tooltip-content">HERNÁNDEZ,
            B.M.D.; DÍAZ, L.G.A.; CASTELLS, H.S.; LEÓN, S.L.E.: “Adecuación de 
            sustrato en semillero de arroz para trasplante mecanizado”, <i>Avances</i>, 18(1): 49-56, 2016, ISSN: 1562-3297, <i>Disponible en:</i><a href="http://www.ciget.pinar.cu/ojs/index.php/publicaciones/article/view/147" target="xrefwindow">http://www.ciget.pinar.cu/ojs/index.php/publicaciones/article/view/147</a>.</span></span>).</p>
          <p>In the experimental tests, the results obtained in the two treatments carried out were analyzed (<span class="tooltip"><a href="#t3">Table 3</a></span>),
            for this, the size and thickness of the seedling was measured as a 
            function of the substrate relationship, as well as the population per 
            tray, at 19 days of germination of the seed, achieving in a shorter 
            period of time that the seedlings reach the necessary height recommended
            15… 20 cm, maintaining the quality required by the manufacturer for the
            transplanter (<span class="tooltip"><a href="#B4">ERP-60, 2000</a><span class="tooltip-content">ERP-60: <i>Powerful diesel engine for fast and upright rice-planting. ERP-60 series rice transplanter</i>, <i>[en línea]</i> , ERP-60, 2000, <i>Disponible en:</i><a href="https://www.daedong.co.kr/eng/product/transplanter/ERPseries.do?series_id=2000_ERP" target="xrefwindow">https://www.daedong.co.kr/eng/product/transplanter/ERPseries.do?series_id=2000_ERP</a>.</span></span>).</p>
          <div class="table" id="t3"><span class="labelfig">TABLE 3.&nbsp; </span><span class="textfig">Result of the mean values of the measurements in seedbeds</span></div>
          <div class="contenedor">
            <div class="outer-centrado">
              <div style="max-width: 1160px;" class="inner-centrado">
                <table>
                  <colgroup>
                  <col>
                  <col>
                  <col span="3">
                  </colgroup>
                  <thead>
                    <tr>
                      <th rowspan="2" align="center">Substratum</th>
                      <th rowspan="2" align="center">Rest time (days)</th>
                      <th colspan="3" align="center">Result of mean values </th>
                    </tr>
                    <tr>
                      <th align="justify">Population per tray (un)</th>
                      <th align="justify">Seedling height (mm)</th>
                      <th align="justify">Diameter of the plants 24 mm from the base (mm)</th>
                    </tr>
                  </thead>
                  <tbody>
                    <tr>
                      <td align="justify">100% sifted soil</td>
                      <td align="justify">30</td>
                      <td align="justify">342.71</td>
                      <td align="justify">14,782</td>
                      <td align="justify">2.22</td>
                    </tr>
                    <tr>
                      <td align="justify">50% sifted soil and 50% sifted organic matter</td>
                      <td align="justify">30</td>
                      <td align="justify">577,547</td>
                      <td align="justify">15,175</td>
                      <td align="justify">2.37</td>
                    </tr>
                  </tbody>
                </table>
              </div>
            </div>
          </div>
          <div class="clear"></div>
        </article>
        <article class="section"><a id="id0x5039800"><!-- named anchor --></a>
          <h4>Analysis of at the Time of Being Transplanted</h4>
          &nbsp;<a href="#content" class="boton_1">⌅</a>
          <p>Comparisons were made among the means (<span class="tooltip"><a href="#f4">Figure 4</a></span>)
            of treatments to know statistically how the relationships of substrates
            used influence each of the variables analyzed in the research. The 
            analysis of the population per tray showed that the two treatments 
            differ statistically, being the treatment with 50% of organic matter and
            sifted soil the one that presents the largest population with a 
            coefficient of variation of 2,372, although the two treatments are 
            within the necessary range for mechanized transplantation.</p>
          <div id="f4" class="fig">
            <div class="zoom">
              <svg xml:space="preserve" enable-background="new 0 0 500 275.926" viewBox="0 0 500 275.926" height="275.926px" width="500px" y="0px" x="0px"  version="1.1">
                <image transform="matrix(0.9259 0 0 0.9259 0 0)" 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RF55tN8F%2076U1mQjh6XukME0E8XySXsbSu5//hIBW2v3unrL1lf8GeMCh2T4+IsKjqCFAuAWqnnhret4b5/iC%20PM46qpAvPi8PqMn9reuUV5lCgSZ5cuanVgLh+uTxfXg724sJoQ9CwQ63+c0hAUnQYnvBSi8loFnu%20SHkHPepSlyPV5wp08mK96pVoOmqfnvSvG3fqhsw0zVFudvFqPe1Z73qJ2+72sOdcsVb3Ot1H/HZS%20gn3tV987m/t+y/+4A17vghfswFu5dGz+2+jUJLo/G05YyDdT8pawPNIrn3hBEz6njUdexi1vTMw7%20lPJ8JX0/ICjB1vuEgjdGu9+5fvi5x2jzqXfm4oHp9HJDXUW4r6vmnY13ubv59qPXvewL/3fqPl5G%20wXfr8Hevcis/H/nX1yDxI+v7sgM/+bH/fFQN7/yafz/7fxa/dNVefraf3/zpt/vWz55327/f/fHv%20ONwPkTe0ekWcIeU3F+d48Cci0ddV07d8oIcICPADVIE9i1Nt1OZzi6B54Hd/gad91PcI8TFyBNVv%207ZeBKXKATJWA6pdjyoMX7kZR8FaBqCd80HeB+bdy+2cI/TcY+0b/TiTlgmTHedhXgJamgON3PQ9w%20FjnoGTtYCAvXEy8ofTGIfmq2gY4AGCvIPCBofUCoISQIVCYofzWYCEaFVAUlbkk1cyGIeCMog1Eo%20hOvHf0SAFfwRc+YDUQMoelAYIltIU12of7NXCCB3BPHUczvnf1vVg7n3g/i3hidIZeyHhYmIh2oY%20hIuIaeTniCJogJG4UVLYiG11h1qYic22iZXYiVmYIXl4UntIg31Yd7V3fBiIhorohat4YE2IgE9Y%20ijfFhijYfJYIi5DoiaGoi4w4ihgHjBhyihiVimJ1d9xXf66YhsYIa6LIi6T4iJ8YjU8ljJRIjcWI%20i1QDirk4iQTH/4ndaI2mCI7SqI3jSIwEaI7HiI7ZKI6MR47teIm/6I3xKIvMR3tnaH/QiI/Is32Z%205YyE9or+GIt8uI/0Z3wF+Y/umI7yyHtj130+aJDPiJCqqJCs2I8XeY8PmY8JuYDsaIcAiSDIqFDK%20iHPzt5G9eJAeaY+aqI7zOJLpcJL6pHq1WILKF5HVV40weY7YGJDTyI8t2ZHXWJJxNZSF0H/xBIDk%20JIA/14oNiYlBWZMixgAyYBS7cz4SGIEUCFg5yYW3+JFCKZNf04FiuD1RyZFT+ZK+GJM8yYFnUYUB%200oJgaYgwiIg/GY76KJKFszxHGBpX6JNvCZRIiVfORj6BKTwKJ/9TeOmEelmYfBmSQ/hxAEKXoGOG%20RdmWR0mWVqmUfmhOHjhuPEiRh2iRnBmMcRk+tyaHcjiY5biX31iVSWmWylMasyaI9EOIsFmPkjmb%20h1lDAtl7BGluDimbIJmRfkmUhOmSnYmcZbma9EiSnnkgNqlOKcl0zDiQDGmcVBmcjzWcE1mcv3ec%20v5mcy7iStPiYthiZzqmafVmZCymV3umW7zmZyimfLNmcRmmY1YmYoLmeppmXqFmfcBmfbciNvnmf%20wPmfwhmgfNed5fmdDhqeEDp4Eup95smg6KmSX7ifsXmeD3Kd2ZSdHbKdxJmhFbmh/Ymf6fmhAkqe%20Gkqh0PmZtnn/TdRZo9YJj9GJoLvInCHKoSPKozYqnTSpQkS6o7QJoDcaejWZpCMCpQ/apNP5pEtq%20HyQqTSbqCGLnWmGph2Opo0xqpAqaoyJqklJqoVR6pHiVpvSRpcu0pYEmkV7Knjrpni0KkT46jB1l%20Tk5pa0pRh1YKnm/qpp61Zv5hTtPmlb1ppkKKpleqpmRqCFZxA40xmmVYmjK6ojR6prU5qYewHJhZ%20UZrJn6n5jpH6QxcqCMuxmLQjqEiaquIBp8Mkp+q5jVLVGK6ahISwhBYoq3BiqEvkbKJace/WqINa%20oYUKrLxFrJealmKIrLFKqLMqrM26qnkRUlr1mrDapswKKdZa/0UX+odHkJsCwpu62a01FK6rwq7a%20YHqU8KvUGqzfCl1rWqbJKqZY6q4Cd69AuqB5yjX8ig3wCltfioph6qljuqe4Op9saaD+qa+SyrDr%20iK/TqqzVWq/vKp51OqCQWaATKokUO5MW663zuiID25PaeasYSp8h+5wKO6WgCqIAe6oNKrGq6q8O%20u5kQi6onK646S7OOGrBDqrH9OrMxqqKnyaI226ErC6MR6rIzap9EW6QjS6e2dbDJmLCP+qlXq7I1%2027M3G7MTS5kJ+q9D27RF+7P2irRR+7AvG7Fkm7Nu27JwO7Uw27ULa7Y/urOmKrYCa7QEy7FZa6di%20iadqa7V8y/+naJuvc5uxbLux2Fp8UsupVJu4Xru4DSu0jqu3+yq4YMulKKoIfyqtJoux9Bq5R/u1%20m7Co6vpYKSszseukLEuylaCWpRqkVaukqju4k8sIFreWPBu3Pou61xq0kpBwwvu3xDu2nlu2+Xm2%20lKC8uRu2zRu4vRu6c7oJwXsIvup64Bu+4ju+5Fu+5nu+6Ju+ttEDhGuD0fq6CYSTVNO+hcCty+tF%208ss19Nsf52pt1atE+Tui+4teqhTAJjnAmdACtKTAC4zAnSdUXfrAfxXBEgxXFFzBTnXBGGxTGrzB%20GtXBHtxPIBzC3DTCS4E+n7AcgYPCnqDCYWHCK/GHs0aHnxD/Hw5QGjIXALeGJDKsFizcCTaMw4PA%20lDEBwypBOQ4waz/MCEt8HThAFYqBFRCYqIGaJEisxDJXFll8CAzwxM+mFdiDlVpJAbx6EkacEpSz%20GU0cPltsCFH8xV5BOZW6w0KSxqWzxh3VxoXwxm9MwwAFE2eMEnaMF5Tzp0JhAwKSHmRlVQLImG9s%20OBFFx0EyyBBlyAmAyOWqAIu8N7WGhJwxccvjh3osEoF8EnK8FzCXAIORykpcT+whFKscT/emFDf8%20UT7nwjwMH6hsVbHsGK3MFa+syn/sFvjGGaXhv5D8EqU8En/YGD8cxbDMqrt8CH2MPtVsTrhcxz7h%20zFkMzcKc/61GscTVHE/XHKjko8yje8JZTDn953/RDM502M5gXFF9nMzwHCU/zM48MSDvjBzoI89S%20TM8AYs/2hBnpfBP5fBbJ7M2D4c/ssdBaocL1HMr3DCUJjRahzNDSHM4PndERbU4TvcqSnBLLLBIX%20Dcl9cRX9jMqgjBcpzRUkVc1rlc2TvM4KvTwvvdLh3NIBUk8xDSDzNNIkfdA2cdHP1hMgkAIq/c3I%20kTdGiNRKfQDjVsvzQ64znMuUyh61nNRL3dB74dRHXa5RPdXHjBXtnMnoXLtI0seNxNZyUdLi8c6N%20JNdzAdcknEd2fddnlNd6TUV83dc+xBE1AA2EXdiGfdiInSjYir3YjN3Yjv3Yz1AD5QIEOQDYln3Z%20mJ3Zmr3ZnN3Znv3ZoB3aXxEIADs=" height="298" width="540" overflow="visible"> </image>
              </svg>
            </div>
          </div>
          <div class="fig"><span class="labelfig">FIGURE 4.&nbsp; </span><span class="textfig">Result of the population count.</span></div>
        </article>
        <article class="section"><a id="id0x503a680"><!-- named anchor --></a>
          <h4>Quality Evaluation of Mechanized Transplantation</h4>
          &nbsp;<a href="#content" class="boton_1">⌅</a>
          <p>The
            production of seedbeds with the required quality is of vital 
            importance, due to their direct dependence on the requirements of 
            transplantation, to achieve a process of seedling sowing that allows a 
            vigorous development in the environment in a satisfactory way (<span class="tooltip"><a href="#B10">Minh, 2012</a><span class="tooltip-content">MINH, R.: <i>Manual técnico del sistema de siembra de trasplante mecanizado del cultivo de arroz (Oryza sativa)</i>, Ed. Instituto Nacional de Ciencias Agrícolas, INCA, vol. 1, San José de las Lajas, Mayabeque, Cuba, 2012.</span></span>; <span class="tooltip"><a href="#B6">Guerra <i>et al.</i>, 2013</a><span class="tooltip-content">GUERRA,
            V.M.; DÍAZ, L.G.A.; CASTELLS, H.S.; LEÓN, S.L.E.: “Proceso tecnológico 
            para la germinación comercial de la semilla de arroz”, <i>Avances</i>, 15(4): 406-415, 2013, ISSN: 1562-3297, <i>Disponible en:</i><a href="http://www.ciget.pinar.cu/ojs/index.php/publicaciones/article/view/121" target="xrefwindow">http://www.ciget.pinar.cu/ojs/index.php/publicaciones/article/view/121</a>.</span></span>; <span class="tooltip"><a href="#B7">Hernández <i>et al.</i>, 2016</a><span class="tooltip-content">HERNÁNDEZ,
            B.M.D.; DÍAZ, L.G.A.; CASTELLS, H.S.; LEÓN, S.L.E.: “Adecuación de 
            sustrato en semillero de arroz para trasplante mecanizado”, <i>Avances</i>, 18(1): 49-56, 2016, ISSN: 1562-3297, <i>Disponible en:</i><a href="http://www.ciget.pinar.cu/ojs/index.php/publicaciones/article/view/147" target="xrefwindow">http://www.ciget.pinar.cu/ojs/index.php/publicaciones/article/view/147</a>.</span></span>).</p>
          <p> <span class="tooltip"><a href="#t4">Table 4</a></span> shows the 
            statistical analysis carried out from the samples taken from the height 
            of the water sheets and the thickness of the mud layer by plots at the 
            time of rice transplantation, where the mean values, standard error, 
            maximum and minimum coefficient of variation were determined.</p>
          <div class="table" id="t4"><span class="labelfig">TABLE 4.&nbsp; </span><span class="textfig">Statistical analysis of the sampling to quality of soil preparation</span></div>
          <div class="contenedor">
            <div class="outer-centrado">
              <div style="max-width: 1160px;" class="inner-centrado">
                <table>
                  <colgroup>
                  <col>
                  <col>
                  <col>
                  </colgroup>
                  <thead>
                    <tr>
                      <th align="justify"> </th>
                      <th align="center">Sheet of water</th>
                      <th align="center">Mud height</th>
                    </tr>
                  </thead>
                  <tbody>
                    <tr>
                      <td align="justify">Average</td>
                      <td align="center">7.66667</td>
                      <td align="center">12,7083</td>
                    </tr>
                    <tr>
                      <td align="justify">Standard error</td>
                      <td align="center">0.585658</td>
                      <td align="center">0.508903</td>
                    </tr>
                    <tr>
                      <td align="justify">Coefficient of variation</td>
                      <td align="center">37.42%</td>
                      <td align="center">19.62%</td>
                    </tr>
                    <tr>
                      <td align="justify">Minimum</td>
                      <td align="center">two</td>
                      <td align="center">8</td>
                    </tr>
                    <tr>
                      <td align="justify">Maximum</td>
                      <td align="center">12</td>
                      <td align="center">16</td>
                    </tr>
                    <tr>
                      <td align="justify">Rank</td>
                      <td align="center">10</td>
                      <td align="center">8</td>
                    </tr>
                  </tbody>
                </table>
              </div>
            </div>
          </div>
          <div class="clear"></div>
        </article>
        <article class="section"><a id="id0x54b4780"><!-- named anchor --></a>
          <h4>Analysis of the Functioning of the Transplant Organs Carried Out at the Time of Transplantation</h4>
          &nbsp;<a href="#content" class="boton_1">⌅</a>
          <p>After
            the transplant activity, a count of the niches planted by the machine 
            was made in two variants: 12 rows with the use of trays B1 and 12 rows 
            with the use of trays B2, depending on the number of times the 
            transplant organs were activated, according to the regulation of the 
            machine, compared with those that had to be transplanted and verified a 
            month later (<span class="tooltip"><a href="#f4">Figure 5</a></span>), to perform an analysis of the quality of the transplant and to measure technically the work of the transplanter.</p>
          <p>As shown in <span class="tooltip"><a href="#f5">Figure 5</a></span>,
            it can be seen that there are no significant differences in terms of 
            the counting of niches in different grooves when the trays B1 were used,
            compared to the operation of the working organs according to the 
            machine regulation. With the use of tray B2, there are significant 
            differences in four rows that put the quality of the transplant at risk,
            which shows that this result is a direct dependence of the population 
            reached in the trays and not of the operation of the machine.</p>
          <div id="f5" class="fig">
            <div class="zoom">
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            </div>
          </div>
          <div class="fig"><span class="labelfig">FIGURE 5.&nbsp; </span><span class="textfig">Behavior of the seedling count by rows.</span></div>
          <p>After
            performing the mechanized transplant, the number of niches (1 ... 3 
            seedlings) transplanted per square meter was counted at random by 
            treatments carried out using trays B1 and B2. Significant differences 
            were presented only in the areas planted with trays B2 (<span class="tooltip"><a href="#f6">Figure 6</a></span>),
            corroborating the result of the analysis (previous) of the row count. 
            One of the indicators that is most required for mechanized 
            transplantation is to achieve that the sedlings reach in 18 or 20 days 
            of germination ), heights that fluctuate between 15 and 20 cm (<span class="tooltip"><a href="#B17">Washio, 2004</a><span class="tooltip-content">WASHIO, O.: <i>El cultivo por siembra directa en Japón</i>,
            Inst. Sociedad de investigación de la siembra directa del arroz de 
            aniego, informe científico, Japón, 32-40 p., Publisher: Japón, 2004.</span></span>),
            being the height of 15 cm the most suitable for the process of sowing 
            with transplanting machines, since if the seedling exceeds these 
            dimensions, it causes interruptions, once the transplant organ deposits 
            it on the ground (<span class="tooltip"><a href="#B8">Menéndez <i>et al.</i>, 2012a</a><span class="tooltip-content">MENÉNDEZ,
            C.L.; RAMOS, D.S.; MIRANDA, C.A.: “Determinación de la tecnología para 
            la obtención de parámetros de calidad de las posturas exigidas por la 
            trasplantadoraTMA-4 para el cultivo del arroz”, <i>Revista Ingeniería Agrícola</i>, 2(1): 59-64, 2012a, ISSN: 2306-1545, E-ISSN: 2227-8761, <i>Disponible en:</i><a href="https://rcta.unah.edu.cu/index.php/IAgric/article/view/582" target="xrefwindow">https://rcta.unah.edu.cu/index.php/IAgric/article/view/582</a>.</span></span>; <span class="tooltip"><a href="#B9">2012b</a><span class="tooltip-content">MENÉNDEZ,
            C.L.; RAMOS, D.S.; MIRANDA, C.A.: “Evaluación de la calidad de trabajo 
            de la trasplantadora semi-mecanizada TMA-4 en el cultivo del arroz”, <i>Revista Ciencias Técnicas Agropecuarias</i>, 21(2): 34-37, 2012b, ISSN: 1010-2760, e-ISSN: 2071-0054, <i>Disponible en:</i><a href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S2071-00542012000200006&amp;lng=es&amp;tlng=" target="xrefwindow">http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S2071-00542012000200006&amp;lng=es&amp;tlng=</a>.</span></span>; <span class="tooltip"><a href="#B10">Minh, 2012</a><span class="tooltip-content">MINH, R.: <i>Manual técnico del sistema de siembra de trasplante mecanizado del cultivo de arroz (Oryza sativa)</i>, Ed. Instituto Nacional de Ciencias Agrícolas, INCA, vol. 1, San José de las Lajas, Mayabeque, Cuba, 2012.</span></span>).</p>
          <div id="f6" class="fig">
            <div class="zoom">
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gbOBYABC%20cAATBlCCAQwgDpbQjQIXWxU79DeYGM0DA3bAgKzSYgFuzEAB9Dsq9HL4BR425pZDbAhBjKH/xPyI%20ig3CYMwc2FhZZRhDGrAKBDlMpQAZkAMJAEzUQ5yWFmGwr5iNEZVAQMG/OfAtVrfMiDSIMhWlQIZs%20v0K8SxQBBCJLQJISIIE4DMALwZDKAXoGAhAIAQBQPAAAXH3PqiRxKscIRAAuAFlzIMGYXEYtLXJA%20AtYG4k7TiEApGiAIQ/yayxNgxIivi1w9UqUMC8CqnZXlBHMYkwN72LRVKMFf0fraFNNlACjSIIAw%207MEJmk4KIhzbgA44ewLQBkVxG8CCCNiA0WN5YAW6AIOISSwK39VeW44BBWQsu71pOASXGcAI+ubg%20AuK+TjHKyOsF0CLiRQWFIWhBiM0mmCv8/6DwBF4A8MSgYQxyODZgEPGCPByCEQtABlim4fBUQBzf%20HOVABwjhca4WNQ+G6EAO+h0Ama9lu//ogdR7MELdwYXhaAimIAKsUXV3gAQZEA4lzBhMcxBT4pVF%20AqIxnQGnfwUKgqjsC6wtGBbsOQ+CYIEa+WIMHADCmIBgAd3Dcgx+7JbZgABFcHcQX1MQmBB7QPDg%202wJ19+nFBojwLyEEENxDGOIFaHA7aewABfWiGRBaLqpWM3tfMa4FER2YgCkaQOa/2CEVSf21VwUw%20hgwsuC4ZCIN0QfGCAMClAPPGRKQF0YBSZIAftfcWjhcWWMHc2iz8wIEgjI6EvO/dM8zFQf8DIpuH%20xZ82DdbFBI1//xbYR3sMLe9LGXLwXlo4ARMd0PIE0pADJ0yeLQVAAoZgaLilHpUnLlQmF4GABi/w%20d7vXAMgQf4+RYv4VBhgFY10mdJDnBDWmFwFAC9GWCsrFFwGgckAQdv9gA04QBiCXB0CACdnlFmgg%20COhmYd+XHQf4D8JQBQWTgHQRAPhHWc4QBqWQcYhBeoIWaRmlUTvgeJeWaUa4FxkAgnlAAn0RAbTg%20VTlQBk2BDA0ACME1AYDQABHAfmMxDQ3gDIYGBGjQHilUBTXwIE1QaoTSPIlRAE6QAxwwXaBAC3uA%20goBReuLnYWrIZTdXXC/Qb/+WGBnwd6D/YIV6UQp7CApj8H9JMQ2YAAQ2xwBpEAYYNxYXYA6HcAgc%20QAJ3th4p9Gm4MAfyQQUlECRWpxgZMAYC8E4TYAg5gAanKBeUkGLLVnTpxgBIN2zH1XSPgQx/hwQs%20YBck8GvKSBUFIAd6uFGg8HUx2BUBUHOVRQg61x8pZAmK0gQ6lAsl0DYK5xhlgAMLgATThQRAwALX%202BaBoGLr9HFaFl8hZg6QdwFthxnIMIDPKBc20ACMcIt+dhUZkAqc12WAAHoSWGUs8HeHAAg48JCo%20OH0cQzVO4QU6IAIwgFh7ozpycX16YQcR0ICmNYYRYIlc4WhZlwMdkHhdxW7M53zTEH2Y/4EGhpBV%20pRAXUEBnh2AO3ZgVUKB93CcIOMCFVoEMCxBcefAC8eiNGDkzgTUMA/BBOZMFIDA2cUGSfIEImahl%208rUAOBCFWNFYvLUASAVjEwAKmEVtGHYaaJBRztCTbpEBsTcBCxCVWWEMcvACGUVxfgiIUGEDe7CH%20E2AOF7Ao21UFt4AU/+AAQ3aOlxGNOWAIG8UItJAKxmcVKXZGLRaYHJV0kEdju4gaTrBnznCQayEH%20f8cILyB62LgH5kBZuBh6T4EGQGBMadAAZimV+BQVwQBRPXAJ/ROLmJEBe0ALtsgBFyebSWEHiLBi%20kfZiQAcKziAA+4gMp/kaqbl/rEkWdv93CEiwBzj5FTZQCgvgDBuFdywQZ0qBCA3AjqYgCBGwNFNJ%20I2BAahBTatVhh56RnmGghsLYAZhgfMYwb+tlb0YHT3kgAMzHAppmkcNRCs4wARzQhmNxezbHAXa5%20FiaJkrvXezZwASCIoSQAnXKTn4HVAj4wA2oAAzEwADrwM8jZGbkQAV/YeQKQA2EAXfBlVBxgDomI%20BgHAktmBA+xoCPcZFjaQA+gmAE36FgFAAvkHTyOmhqZACITZKClEA0nwD1hQHmSQIzf6GVCACYJg%20c4a4f0P3bkfaKCyQVEwKFiXIZ50pFwVwAYRwoV0mADhwnozJohrZFFSQHhowAEkBA+b/uDqoUQBo%20kAO04Gb8CJ+4ggm/JgBDuRVoQAuGlgO/+RbF4IW08AJxmSsphAElgAG7oAMBBAO+AKCpYYbKQgJJ%20JQBdehWlMICUqKJzQau4sl0HwDwWcBuN6qhL9BXFsAfFRAt5Om7NGGLLeD4pVHX04oPJimupcFvP%20+mcNgG6AEJ7ck0JNkB5KQQZCkDuUma1eQQwEOQEdwJdPMQ1AKZTxoz698AVWoANpkiaeQlDrmqxB%20EAl+MAIKoBXG0AB8Jq9MgQwdYGgLcKrooz4JMkEWCwIycqY9FAQhUAd4MAsbIAM3wAou8AZWYQcv%20wGeW6hSueQjE153jSqhc+Q9z0AVq/8ADBJKzc3A02No9I/ADJoAHnJACKfAHXHAHV6AHIvsIZ7AI%20UhEIKTsBgrCySzGeebAHFBqzwdkUGDCVUXEJM0AFVOBISbELWSAGSyBlU5ati+ABXIAHruAHKkAH%20GwABnVAHRNsJnNAHBDAEKxAEZ/AUDYZVC2CEgTAGHfqhDQR1ItC4jls7UxENINAqEsAD1nECBWc2%20IDCZRNazz0MEJlAHirAUmeAIfuAKBCAFg2ACRZsCdTAIUkAARLAGjpAJxKAUgZADhkYI4vakryUA%20GnpCKRQNcGCxN2JBU/EFMyAjt5A5UScEPMA8nkIF5uVDa4AHpDAFmQAVmRAEk0AEBP9wBZzQCURb%20B50AAa1ABypAu6hQALDwDtsACxFWgmvYrYsrs1DhBXHQBRjQvxgADLaSFUIQHgbgA2SSFACgA8cZ%20FV7JOhQQAqQQAhRQFQrgCY9wA4owBVeAB39AtClwB33QCu2gD4lADePgD96wD/JgClu4RCmkBeXx%20FVXgAwhlAXCSFA0yJ1LhAJ7LHyNQCY/AGGewAVwAAQjAFZ7ACpWgClMwCxAgCVzABZLACYOwDt8A%20DiXcAEgKP6mqAwDLFVTAAzmzI9nzI7DYFAcwA2osBmrABLvwxnAcx3I8x3Rcx3Z8x3icx3q8x3Kc%20DDZQDysgBSbQB5/ADczAx4icyHL/rAmFQAfN0AyrsAmKrAzJIAubYAMFwAyn4A7asAqQEA+rawKi%20IApTPAh60A1rYATZwA02YAOboAmykAyKPMu0XMu2fMu4TMuv4AX4+xQtcCM6EMwahDVXgTlNkBQJ%200jdi4AOQSzhqPANikARunMvUXM3WvAvKoAmb4A6Q0Akm8M2DkA6boAzXbMvKsAn50Ax14AGFoAm3%20XMnajMkFwA7XgAAq4AFXMAh3EMV/QAp4EA+QYA3w8Ayn4McFYAOakAyyXM4M3dAO/dC7sMu97BRP%20cAQAYEAGhDtXkSDOkRQiIAHmGKPW6hRbVCqLcANXIAnN8AMyMAikcAUTLBisAAF1/9AKgesWqPAB%20FDAJQ5C6dxC6KWACnACyMtAGrDACqNA9OagVNcADVKQUvuAD5voLPqAE1bsoj6AHnfC2MjAC/3AD%20d/AHUuAIgeEIV/AHsxDEdPEGnhAElSADG9AHnNDBUYy0U6AIN/AInuC0vLPUWCEocaAFgKQFseoF%20EgAACVACPEC2DNzDxMEHrjAIXFAH6uAHS6ECYf0DXu0XH6AHb7sCfzECCBAJilC3d4C3QY0HVyC7%20K/AIfMA6KdQDVMAqMEDbABUVJ8Bk/VQC3hEMRQADPAAHjN3YjIIAG2ACfwABRLC9TEEEnUAKG7DZ%20e4EKMsAFJkAEiMEHLnC6BPADg/+Atx1sArMgBR6gAgjgAq8NOCmEOWIgBD7gijCwsxobF5cg2nk9%20GCMgA5xg3XoQBE/xBkNgAtnrCXwB1nVAAAcrxEGwAkSgB3LNuq7bCYOwAYoQCUed1FHzpWogpuUB%20DE8kq3BR396rCnHNCSYwCB7gBzfNF5cQyFEcApGQ4P8tAybABQSQ3nVhBBAg1tL9GApwBkaAwVPQ%20B1tN1xDQB1MwBJMQBD3+MinExp0CAklRjiBuFjlNASvQ01KAB3XABUSLBzTNBZ3QCirgAntBAR4Q%201p1AB2Q9FYtAB6HrAR9QFyMgBX8wCEbQGQrgCKwQCXTg3XdAtH9QB5xA3n7rCB//gOEHk0IiUAIH%20MAclQANGNNxd6dhUoQAUMNp0oLqBngLWzQnq4AFE4AdGQASCPNmzIAOswNdxoQCR0AeTfQUrcLtV%208QEeQAomQAdzLhe2Xgd3cAOkQQx7zuAeoA6c0OVFewewSweRgACOwOr2sl0WAEVYEAcGzLNiUcFG%20QNpTEAKd0MGefuR6oAqtveJJ4QmVoAdD+7ZTcAME/hZGoAc1jgddnRUfQAB1YAIyYLJxEeB1oAoL%20bBrEYME8PeQQ4OVGO8h33QaAC+3k4tc96BVn4NY9HQJ4AOEm0AmzoLRG7Qm0DhWXwAoy0Ad4awJX%20MAT+vRZnQASSXQcbcMRbcQae/20CQxDwbLECYa0Hu/4aqOAJCNAGMjAFg3C3RBu0fKvkQcDc3BI9%20BvAATv/0D/C4VT4VpesHWi7ZHizeoa4CJLvzV+ECkbABYc0Fg0AAa2DuYIEArdDlg0AEXq8VnrAB%20f9AJ2O0WjzALpNAHbX4dH+AC9uwBPzALEO66sCu7flC70xI9KGO8Fou8yDoVIzC3rWC34K23V+AB%20rtDaMu4VCuAHdPDdc/8DrrD3XeECMoAH1k0AKf8VI9AKYq4CbeEJa88JMM8eH/AIK4C64ku+ET7h%20zK7WuhI9vnAABeEGZHD8B3AAOhywULEIerAFRfu2VzAFMgDEZ8DvZYEKFEAEQP/74nTACm9vFW8w%20CVfQ5X3QBg7vFY4gBaTQCW2wFm/gAfkO+3eyCGfwCJWQwRvMBeAOEIM8+OHzz+BBhAkVLmTY0OFD%20iBElLkQRAyKuW7dwQQzWceLHiRgSSHyjalArGTdYuXgD0mXCMyv0QODC5c6UNiNAPvJwxyYdFy8h%20UrhCCs8NoQ9dmaijqGVSqFGlgnzjglUbRa0G1byzIZLOqWHFjj1Y8WLGjQ0rlJDQVosusiFHSrzE%20R0FcqkFU9THxx0QfVUFQQfwQaRaXOlJWEMNrMEgfUpxWkPWDh8uGM401b5ZYTQEFIldMIO4jw8gl%20zqlTm32IUWNDDXGEPHliJQ7/HDCqFYrUHddFmw14UvyBQGBSQYZGpozmpMpTalazSEHwI5ZCnz99%20KPTm3ntEpSmc/nDhRGAF8u7phbJ26DrtQks6EFrwIUI9b/VhF/mhM6hOik6kcOWRhDwZgiYTNmCl%20NwQGIWUQBKbiYwqj1sjvwsbeQICOWf4LUAVHMBTRIfYacq+hLOBAyAEe7EsPvxGjcsSVHzqpaRYP%20EPjgDT/UqaOOQVxBTzc/ICAlBCOiQkWROkwgIkYow5rxh9HqCEERI+6KcsQSGTqRITIGiMKgKo5I%20oof75toyKT5WIIAmm6bwAEECCFRvBU5I6cNOodqw0YNF1hRUqEwmIYCTmvDQ/6OSzC784JE1EHAB%20tQu7XOjLhbxoy4c44pCgUx+O6A7GQV964xFVREOsjj5u0DK/Su4g5YrtXkLASHXAKnXXiRYJQoY+%20aurkCiJqVY0PRxBQgYAfZrmDkz42kKGSIEZ4qjdLFcJUoQqs8IKKLLJYItwsmhhVTV5fGuGGKSBQ%20JMQRI7FRHXg/cuEKLgYJIl1+J3IkklbuSOFBOvwINK43RlBWkQ0G6eS/FEzgxLIUuDABjysIIGKS%20R17dLNuEtt2V1H5BUsATxqB05Y4/WtE1IgX0sGmSkmsmbI05ufgDjw1ueFmoRUYwog0ZNggB0Yq5%20GHYKRdowAgEiPNCqphQAHP/kCg9U8IOCDxoDGSGRSyXZZrINIoYIpjZ4TiJVTDBhiJTLlhshVIIY%20gi+Lr1DlkWsjWiSTIG6QQY8rfPqjYjxmaaXplTw26AxIidCjDwhMqNriWaagQwVWzjh4qq8PCnvQ%20seeuuSSm9MgkolhJIaBr02M/aATgfOICgoFgZ+iMINYgggDKO7ncBAhaocOVNVz4HKI3Mhl6cL4g%20ljiEKVSZxIi1kwrdoNEFLV12fheRoa/XHwpikD+uCAp89vlAwAP0ld5ABbBQ4cMF3z1Qx78/Djfh%20ao1trVFRUYBVIkGHZgmsYsT5AQGGsAZH8IFSE9neP7q3pu+xj1cfoIMJSOH/AcchZAQ/qAMEFqRB%20FD4iNJb7iyoO2AoI+KRiJrhDxobAsdVt5jNrcIUHpMCJ0VTsDhD4web2JZEKXnBLGURhqT7gAVKY%20QBHLO8giPKC0NjRRi54Aj2UO90VOXGEKKQmCJ0Komkt4ggKTUMUUrgCBqqVgC5ww1kOSiJZ+MVGL%20gjoDAaKoir4ZBG2kkMEE96hBDSliEIOQVhskNagRsEJwG4BAH9YHkTu+ZjMGqAEvDsLJLoTyARLR%204yG35IkpNAluCFkDHkgxhRyacoue0B2/PuCJWGLSIq3BY2OC0QIYSOAAB9FCW9oCglxEpJSyhJIn%20WkGKO7jiII8IQXbqxUxs/zYxk++Jixh0QAUeAOMgloCBA3ShiyqQEl3ZLJULfmCTSPwjE62oAyeq%20w058sm+bmnmAMETgA3EaxBIlcMky83khokQGK25TwUEdarp9bkYDAB1nHLRABXNJhAzrfGiUrnMx%20PJiADoHsaEl5FVHNVICiBrECDHzgAwkcgQkNcYAGaqCBGSQBDLzgaU99+lOgBlWoQyVqUY16VKQm%20ValDDUQ6BsGUeGCDCUulalWtelWsZlWrW+VqV3sKBivssj29TOlKE1IECYyJISIQQ1stoQZenFOu%20c6VrXe16V7zmVa975Wtf/frXvA5jFJ+YxQ/mMQp7AFaxi2VsYx37WMhGVv+yk5UrLrIgVhORtTEq%20DahCeMCGiDiAoyZtZi5Je9pSobQx/3SAQS6RG4NgQAItUOZoUXtb3Oa2LJj1kmbJcoIYKCEOVHhC%20NJgAAirEIAY8KIEvaqtb6Eb3tqolixg+5ak4jDIGnoqpAdQpXfCG96DUHQsYqoCLV/ACF2j6BxjS%20+xGDile+8yUbeUlnW/rmV78ls6/38LtfAAd4S/3F4H8FfGAEp4fASzRwgh38YK/x9lK+FVuDIXxh%20DENlwVGKb4Y9/GESSVhbFL4viE184o9sGEodRnGLMaziGLHYxTNOMIxHJGMa5xjANhYRjnX84/ny%20GEM+BnKRpSvkCxHZyEv/xi2S86NkJkfZpE5Ok5StrF8qv8jCV+YyabN8ri6H+cgiDhmJ/StmNOf2%20y9yBcprdDL4196bNb6az3OKsmznXWc/8JTPYzFzgPQcam3dWTZ4Ffeg1EdohTHBDLxLihgN497uI%20prQGFc2QCuggDsM0iDASYMwlJBMihq50qfNzaYVYoQRJWGkulCCBJzzg1Rl9CKlNfWts9Vl0f5ZK%20Fw7wz1sYJBo8oMJBBgCC5+Ja2Xw+iyY1M9GAikACFjiIEmDAXoccYMvL5naldM09Xk+FswbBQhxc%209A8q+GAXDKkCGdxdA0v0oBfzpne97X1vfOdb3/vmd7/9/W+AB1zgAyd4/8ENfnCEJ1zhC2d4wXuw%20BNry0tmbXWkNJHCCg6R73Qt5AA08DoAjVMEXIyd5yU1+cpSnXOUrZ3nLXf5ymMdc5jOnec1tfnOc%2051znO+d5zXFBBbWOdeJ4Gfc/HiCBURokATAIBkQ22m2oDwrVHPeBpMkQBy8cpAQqGvW2o/711Xzb%20guGGyi9EMIM4NOEEVQgGACSgdjZIoALJBnvdvd1sbpKlmMaU+z8cAIdNRbzrdie8eqaOkDlgAAPA%20wMAtPPmPXCi+tZMufOVVc3i82Nrym1cI5uOiec6H/h+eJwvoRb950o/F9KevfOrFsnrWE971YYF9%207Os++6nUXr+vEAFsX/9igM4eEhiSfkkvRJBOB+NeKrq/7ROSAHItzDTVJcg7Qy6hAZBbgb0VgIEb%20FAJvkCeB0weBNxlEtNEjgJzaCpkDDMRukC9oAQBqwHh7QQDahAxDC0dIv1hzUYH0ywJHazKxUyIO%208zoEA7wSKIE4GICNO4hX0AErkIglgIEFlAAAaLpc0AEtUIgjkIAFfCkX+YUE4IG+wxANkAALNMEn%206LwSQL6HcAAdCMHsMghg+oWEkDbmYgslaLoZ2EEJgIMBRC3liwrmQy04EJV/qIA4KIKEqAEeGKZe%20SKcq0AVK0YUvOAgRqL8sQDqDyAIYkL6DAIABMAgD8IEkYCkAgMK5wxD/lfKuXgCBEng8gwiGAVCC%20TjMIXRAGMrFCMqkBg3AAH1ADg5gDHgg6g3iAOGhDS4gD8zsBF1mCEyTCAiS7GEPAA4MDADgIHUhD%20hNCCEsgNDRiALIApALiFD4wDRDQIC4gDDUhEH0i6MSxDg9ABQvyHdCIDH2jDC1GpYPuHKKg6hDjD%20FuwBAFACIZCAXcQCmBICuEgIEOC6fwABTzwIRWzDFvAB80MIEYgDLCBAvMsjTMSmYoiAHCAEdExH%20dVxHdkzHHHCCYzAIOLhFDIiDLECIXAABZPuHFPSBGUABZQSBLhCCOPA+hBADHhiGQIQBwTOIIygB%20N3ADFIABWfwHDNhF/5CgADrwAI7sSI/8SJD0yDVoCZVyrn84AhjIQvKTABcBAQzsggGIAx5AAbTC%20v4P4hTiYgYNggwFoOi3MSTIQAR1QgiE0CC/wgTkAR4mrvhLTrQIwB1uohR2YSqqsSqu8yh2oBVsw%20hDIwCAAogbbiARgwSYMAg040iAqQAECcxjC0SFccRh9YgoP4ghIoNoSgAb4bgG2MLYyciEuYgi0I%20TMEcTMIsTMLkhKBgQkuQPwnQSYTIRvO7hGMziBTMKCHYx3EqAZX8By+AAT78Sb5rQYT4BR64R6UU%20OqY8M90yBkzoACB4TdiMTdmcTdjsgDGwA4dURjScvIMwS0+EQknTRP+DcAMfeEX4gwEhELV/6IUS%20WCc1gIEKsAANWMBoOIiL5MWIIIZK2IANmALv/E7wDE/x9E5p6ZpWjAMfKAEsMKR/mAFhlMwO/IdW%203MYjkMZ/sA3sdM9nNIhu9AILsAAqiAOxwoUSAAGfnK5KHLoKm7EkbAjfNAgo5DQ44LoDKE4y0QEd%204Ca6tMuDOAJaNDpvtM6+vJCJMsiFcM/IvEO0jIOAAgBpbAEJ6IKE6MzPTMRFPAgQoEUmGIASeEAE%20DUd+OcLTEk6GyMd9jFB5pFAL1QV9VAgHYMiEIMODmIFJFMT660UfGL/vY8l/kEw8XEIW9Uquc0/j%20RAieLEpFXL8qgIH/TfwCIehJ6CpCqBBS0gIBIXCIpXO0cvvFyXTLV/w0HYADIRACJzS6WEyIDxxU%20gjyCV/iHGnhTCdABIVg/9aiBOMCAhnCDtIO8ErAEypQATP2Hy/wHYPgUABhUAJg8IbhFLQTBQYUB%20HhiluAvUQZXLH11KcZwxL7BVhsACHvC+E7CEyfOCrPO7JMBUFICDHB2AAZhAzmxLhGiCN2XWGRA1%20mBwAOGBW7ByVJCA+hQADFc0FMdglVJS0Jcg6YDhVZh0AIfCuYeMtX0iCZQUAHGxPZV1X06REIE0X%20Og2vNeXVl9hAm9SiLKA+qIgBGKhXBJPTpOjX8PICgxWKCvhVU/oF//dLCjAAgS+tsQRNTUCzMl54%20AN9zCQMIVVPCgL10iWB4ABhc2I7NVduLWZdgWKFwWJk1NYZ1r1d4BSZgz4aw2ZutNDk9ABjolE+5%200lobx6A9PTm1AAlQghlogSjYzKRdWqttiKYVpoJS2qtFvZftDad9ggMw0YgABq7t2tb7Wt04OmOi%20AapViB5gArkVgQTIBbu9W7zNW73dW77tW7/9W8ANXMEdXMItXMM9XMRNXMVdXMZtXMd9XMVdArVV%20DV4QgQd4ACuQgP+yADXo3CSsgl8IXdEdXdItXdM9XdRNXdVdXdZtXdd9XdiNXdmdXdqtXdu9XdzN%20Xd2d3SoAun1ND/+UbFSG6AEwKF66hVzkTV7lXV7mbV7nfV7ojV7oldzf7Q4A0IGibAizRVvuHb3J%20TY0oiIEv+IInkIB8rdru7Vo5jQLuioMepLz0XVqGFYEmaIJtRd/4ld/vXdD81d/q5d/+vVmafQmg%20DWAxG+CtNWAB3t+mVGDbQ2CQKGAHvjIIhq+znWBcq2C5wODY02D45WDO82C6A+EQZmDVJOES/t8G%20RmHLE+HBY2GvVeEThuHCc2H8pWHZM+GPxeEcluEd5uHb02EGA+IextUgvWAipjMbdggJTuIWW+Kf%20RWInTjMoZogmnmITq+KFuGIs/jAt3g0p7uIuo1kHOAEMwLYXFuP/ZWPYJ4ApCQABb2XiMFZjK8ta%20JTiBLgjCA5VjOl5jIY6LI9ABSlmCME3jPsbZPyYLGKABa3xLiDiAjT3kUiuChuwtBdWMKuCB+PyH%20A3i7htiFjLiFLjiCUC5lUz5lVEZlNzCAVG5lVy7lSHtlWW5lAziAWb7lUnY3XN7l4SODXcblVf7l%20W45lYZ5lYi7mV65lZE5mN1hmV9ZlZ25lLVjFCbvkxsjkTT6ATWWIjvu4EvA4cA5ncR5nchbnbC1n%20dE7ncE6C5lRndy5nHTiCd57ncNZHer5nGmBXfJ7nc95nd1aDdvZndQ5kgXbnTi3odNYBAEBodH7T%20BGDoch4AWsss/2tujEU+CKctU4cwgEgeiwcQA7wIhmokiwSI47AoAtGMiyzQaLHQgPMVC2HwVLx4%20OrxIAuUcCy2oSLFoAhRojKj1YbwAAR3wSTHQxhEeiwrY5LH4AlYl6V8kiwoSCir4xrjAAg4dCwcY%20adWbY3xUg5YVCy2436mojQgD6rjI4wR4gPLdMgxgZKIbWLH4AiWMCxoIPrGAuMYQA6omC6vGCwdo%20atVza7LIhZDDCzYQa6mIgmKNC7w24t4oAu6yhLdtiFtQ6rEAULzYBa7+RC0VixlIabLwApYOCw1w%20VrL4hY4Wi8rGi1xIgK8OCyqg1LFogkKNi882a7yo5ZSFiF7w0f/yqtGxuITJDotd2GOxwAU6JIsq%20EMOxYILXngrhbozebowv8NmpEIaRFYtXeO6pQG7cluRDNkDwDm9LHG81Fm/zPu/yTm8sRm/2bu/1%20fu8kdm/5nu/4rm8epu+awQAAcMywCAYLyFEA2O2o6IUnYFYA6Oyp6AEaEAKyjYoWWNYBWOywwAJm%20BQGTjQoHmFZmFQJqTooDmNYmuOmoEIZ8HgAZnYpHxc5hUANmHe2JcAMA6GmEAAMxSILkdokTgIOg%20A3ABJ3CQ0G9+YYIlYEDAjgoN4IEJ9QEeMOmkyMYlF8axkMRJlAoQkI0Jre2piLtoFMiw8AU1mFBl%20lQDLTooTEMv/bJUALYeKOSgBH0jzSnYJX1g6NT+IJ0VOtgBtieiFImDATTyIChgAHvCB4Y4Iyypa%20NUnyJW9yqBByfhWCBxACrY4KXwgoRQTYqIA0tJwt1YMBK/AB2Y4KdiU6VTwI4yZtcwsLLYAB2NIB%20zIyKowxVAIBWoWgCAMCAEvBvNvCB1pLMEgDuiAjxBwC5g+iFJKBkGFDIl4j0E1BRg6h0G8X0IL/v%20dGEvamyMYaNwsejGvZ4KOCjpOAh1qGjSuEiCD/WlaBSLIhBGJiiB1BYKAMDMGjjUpGg6MICBQg0G%20dz+IJrhUkGAvIoU8NEHY/fx3g3D2hNAFHtD2aa/o2Ll2vOj3/wyXCjKQzgFIguyFihbggWi4OnFP%20Cpd8qSPgzajogS5/qQQodKhw2rWciiqY9RkAANcOC1YzyS5wZKj4AhhwzC/wgXxNS52eiICf0mQX%209Xe/+YlveI99+El3eRjY7E9rC2lPCl9Qz38wgDhA2qjAgixoqziAgYJPCl5gCzUQg09LAuuGiq88%20daiQtk+h8aloxRLgv2AKepfYBXw3wziAe2mD8YgYehtMSKNXiDW9YEfvF4gfizjsUbIYBndDgeEK%20CyXggSboAtugArueisqcCjCY+2rjAe4WCm1e86iAQhQggzZ+37jn0QEgp6dOCp13zCrwAQ5lQrv/%20+z9HiBkoev+oQHiDWHzfdonD55fEFws4gIGk1IznzG6hUAPuMqYylwqcjHOhUNaDKAIeCH6oUAJC%20F4tLOEuDgHwnj4qJXHqJEIa8/4ceuGiDgGwFlwjA/wdgUvak8P1/OH6FTYrhTxchAAga/wYSLGjw%20IEJcAErMQejw4UENtwbuKgHiEsSMBXF96WghTo1XGkfuqkEwQZwDI0dSkaDySwkhuVaO/OVDDM2R%20YGAM6DFQiQ8HOR9+mflPg48sQx1eghGFYJI4wP4JgwEi2NKBAI4cjAKjV9aCA7QQVMgwrEFct27h%20Quv2LUQHIEpIkFCCLNx/MyT40FGixBEwef8l8fGXB48Hgwv/ApNQYbCBEjAkx1my2EGJOCV8wBCx%20+J8YCQY+65XA428cL4M1/M0shNdbCzpg8C0R458BGJp5+PA81BccunaVDBSzWYLV0UPJzJWgmcq/%20Fnz9AhYcVi1b0tqHRktwhIalI0UGV6CR5Ah6KmDz9piBXsmv7Q7YkFmMAf0RxZ8dnKehi7QXM2xX%20AX6PDYaLFug9BRcGanznIBYDzeEdDUIt9QUbR1hynmV6HaEGDUckEN9QDoSYxHkt/FPeeemtlxV2%20bW03I4012ngjjjnquCOPPeYYo49BCjkkkUUaeSSSSQ4EpJJNOvkklFFKOSVcTFJ5JZZZarkll4tZ%202SWYYYo5/yaZSH5ZJpppqrkmmyud2Saccco555Vv0nknnnnqeaOde/r5J6CBQtSnoIUaeqichCK6%20KKONbqmoo5FKOqmRkFJ6KaZyzjFHFU9amimooYoZjRp18dDFUmREIUyNn4r6KqxTCjOABDNgwUYc%20GAzVhAQkzuhqrMEKeyQKElhAkAb1/fOEFloc+08wT7ihgRZFYFQBHBJYkkVDu1ChBQo+DeRGsygU%201IUWVFj4ELDDuvuujsHoIARCCZjmQxwqMjEbbxLQkAsKcdRmgAM6IBZHYCviy4MEcDChlw8RA5BR%20u/BafDFpVfAAnUFYxHHbP0cE9c9mimURR31NoDxQEiA8/P9AHFj0osMAnVYggbklJPAPGDVgxO5a%20MmI8NNE1asxxQWroQNAJIJHMsQi9LbsyGJnFcbUEUbgRx7P/CEGvFvmuC3R2RZt99mC9wLCzQQDQ%20O5ABPESog1L/PCD1Eyn9s4sPQiyxBAozGHD3VCyD8A8TRXA2g1EOVYw25JEPZAkPuxBkwBxJlCBu%20BXEopgPHd3sWQxyj9bC2QTBHONAAXA3USxYSFO540JLbfjtETetwggFRJGaBBAkYcAJPYIAB+kCi%20/1ND1gYEw4YEXRhABg0Y8GLwAwZoIcEDuNAgwi8B60q20Libbz4WtPFFBVbF1qXDVK+UgJPdcXg2%20q2lzfHHiRF0SgDDaCYTjg/EwQQh1qQzFane+BeJOGBWQSEEwoIEKWOcSvFtS9wbigAqIwCgWmOCL%20vvBANxCECRP0zaAUyMAVsrBSKmwhDGOoo8fJsIY2pAkNb6jDHablhTz8IRATWLYgErGIG/GhEZPI%20wxwqsYmSY6ITo2g27IhEilaE4StucQBd4KKLXvwiGMMoxjGSsYxmPCMa06jGNbKxjW58IxzjKMc5%200rGOdrwjHvN4Rl0cgAwHWAsgAynIQRKykIY8JCITqchFMrKRjnwkJCMpyUlSspKWvCQmM6nJTSry%20AG4ICAA7" height="289" width="481" overflow="visible"> </image>
              </svg>
            </div>
          </div>
          <div class="fig"><span class="labelfig">FIGURE 6.&nbsp; </span><span class="textfig">Behavior of the seedling count per square meter.</span></div>
        </article>
      </article>
    </article>
    <article class="section"><a id="id0x5685e00"><!-- named anchor --></a>
      <h3>CONCLUSIONS</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <p>In
        the tray seedbed technology at the time of transplantation, interaction
        was found between the factors under study, when the component elements 
        of the substrate were mixed and left at rest, the plants found the 
        appropriate conditions for growth, in the four-element substrate (ST + 
        MOT + FCSM + CAC), with 30 or more days at rest. This makes possible to 
        achieve seedlings of 15.37 cm high and 2.19 mm thick, 19 days after the 
        seed germinated, complying with the requirements for transplantation 
        with the ERP-60 machine.</p>
    </article>
  </section>
</div>
<div class="box2" id="article-back">
  <section>
    <article><a id="ref"></a>
      <h3>REFERENCES</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <p id="B1">COLECTIVO DE AUTORES: <i>El Cultivo del Arroz en Los Palacio</i>, Ed. Instituto Nacional de Ciencias Agrícolas (INCA), San José de las Lajas, Mayabeque, Cuba, 2019, ISBN: 978-959-7258-01-8.</p>
      <p id="B2">DOMÍNGUEZ,
        C.; GUILHERME, A.; MIRANDA, A.; DÍAZ, G.; RODRÍGUEZ, A.: “Machinery for
        Direct Sowing of Rice in Agricultural Conditions”, <i>International Journal of Food Science and Agriculture</i>, 5(3): 471-481, 2021a, DOI: <a href="https://doi.org/10.26855/ijfsa.2021.09.018" target="xrefwindow">10.26855/ijfsa.2021.09.018</a>.</p>
      <p id="B3">DOMÍNGUEZ,
        V.C.; AGUIRRE, S.C.A.; DE ARAÚJO, A.G.; DÍAZ, L.G.; RODRÍGUEZ, G.A.: 
        “Adopción de innovaciones tecnológicas para la Agricultura de 
        Conservación en el cultivo del arroz en Cuba”, <i>Revista Cubana de Administración Pública y Empresarial</i>, 5(2): e167-e167, 2021b, ISSN: 2664-0856, <i>Disponible en:</i><a href="https://apye.esceg.cu/index.php/apye/article/view/167" target="xrefwindow">https://apye.esceg.cu/index.php/apye/article/view/167</a>.</p>
      <p id="B4">ERP-60: <i>Powerful diesel engine for fast and upright rice-planting. ERP-60 series rice transplanter</i>, <i>[en línea]</i> , ERP-60, 2000, <i>Disponible en:</i><a href="https://www.daedong.co.kr/eng/product/transplanter/ERPseries.do?series_id=2000_ERP" target="xrefwindow">https://www.daedong.co.kr/eng/product/transplanter/ERPseries.do?series_id=2000_ERP</a>.</p>
      <p id="B5">GRAEGUILES, J.: “Reed Rice. Research in control”, In: <i>Simposium Heldat Texas and M. University</i>, Texas, USA, p. 5, Proceeding Ofred Rice, 2000.</p>
      <p id="B6">GUERRA,
        V.M.; DÍAZ, L.G.A.; CASTELLS, H.S.; LEÓN, S.L.E.: “Proceso tecnológico 
        para la germinación comercial de la semilla de arroz”, <i>Avances</i>, 15(4): 406-415, 2013, ISSN: 1562-3297, <i>Disponible en:</i><a href="http://www.ciget.pinar.cu/ojs/index.php/publicaciones/article/view/121" target="xrefwindow">http://www.ciget.pinar.cu/ojs/index.php/publicaciones/article/view/121</a>.</p>
      <p id="B7">HERNÁNDEZ,
        B.M.D.; DÍAZ, L.G.A.; CASTELLS, H.S.; LEÓN, S.L.E.: “Adecuación de 
        sustrato en semillero de arroz para trasplante mecanizado”, <i>Avances</i>, 18(1): 49-56, 2016, ISSN: 1562-3297, <i>Disponible en:</i><a href="http://www.ciget.pinar.cu/ojs/index.php/publicaciones/article/view/147" target="xrefwindow">http://www.ciget.pinar.cu/ojs/index.php/publicaciones/article/view/147</a>.</p>
      <p id="B8">MENÉNDEZ,
        C.L.; RAMOS, D.S.; MIRANDA, C.A.: “Determinación de la tecnología para 
        la obtención de parámetros de calidad de las posturas exigidas por la 
        trasplantadoraTMA-4 para el cultivo del arroz”, <i>Revista Ingeniería Agrícola</i>, 2(1): 59-64, 2012a, ISSN: 2306-1545, E-ISSN: 2227-8761, <i>Disponible en:</i><a href="https://rcta.unah.edu.cu/index.php/IAgric/article/view/582" target="xrefwindow">https://rcta.unah.edu.cu/index.php/IAgric/article/view/582</a>.</p>
      <p id="B9">MENÉNDEZ,
        C.L.; RAMOS, D.S.; MIRANDA, C.A.: “Evaluación de la calidad de trabajo 
        de la trasplantadora semi-mecanizada TMA-4 en el cultivo del arroz”, <i>Revista Ciencias Técnicas Agropecuarias</i>, 21(2): 34-37, 2012b, ISSN: 1010-2760, e-ISSN: 2071-0054, <i>Disponible en:</i><a href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S2071-00542012000200006&amp;lng=es&amp;tlng=" target="xrefwindow">http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S2071-00542012000200006&amp;lng=es&amp;tlng=</a>.</p>
      <p id="B10">MINH, R.: <i>Manual técnico del sistema de siembra de trasplante mecanizado del cultivo de arroz (Oryza sativa)</i>, Ed. Instituto Nacional de Ciencias Agrícolas, INCA, vol. 1, San José de las Lajas, Mayabeque, Cuba, 2012.</p>
      <p id="B11">MIRANDA, C.A.: “Impacto de la tecnología de trasplante mecanizado de arroz”, <i>Revista Cubana de Administración Pública y Empresarial</i>, 4(3): 334-349, 2020, ISSN: 2664-0856, <i>Disponible en:</i><a href="https://apye.esceg.cu/index.php/apye/article/view/143" target="xrefwindow">https://apye.esceg.cu/index.php/apye/article/view/143</a>.</p>
      <p id="B12">MIRANDA,
        C.A.; DOMINGUEZ, V.C.; RUIZ, S.C.M.; DIAZ, L.G.S.; PANEQUE, R.P.: 
        “Analysis of the Use of Shift Time of the ERP-60 Rice 
        Transplanter/Análisis de la utilización del tiempo de turno de la 
        trasplantadora de arroz ERP-60.”, <i>Revista Ciencias Técnicas Agropecuarias</i>, 30(3): 42-50, 2021, ISSN: 1010-2760, e-ISSN: 2071-0054.</p>
      <p id="B13">MIRANDA, C.A.; MOREJÓN, M.Y.; PANEQUE, R.P.: “La cosecha mecanizada de arroz: experiencias y retos”, <i>Revista Ciencias Técnicas Agropecuarias</i>, 28(3): 75-87, 2019, ISSN: 1010-2760, e-ISSN: 2071-0054, <i>Disponible en:</i><a href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S2071-00542019000300009&amp;lng=es&amp;nrm=iso" target="xrefwindow">http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S2071-00542019000300009&amp;lng=es&amp;nrm=iso</a>.</p>
      <p id="B14">NRAG/CTNR: <i>Arroz con cáscara seco para semilla. Determinación de la energía y facultad germinativa</i>,
        Inst. Instituto de Investigaciones de Granos, Procedimientos y Normas 
        para la Producción de Semillas de Arroz, La Habana, Cuba, 16 p., 
        NRAG/CTNR No.16 Arroz, 2009. Anexos NRAG. 105, 2012.</p>
      <p id="B15">PHILIPPINE RICE RESEARCH INSTITUTE: “Philippine Rice Research Institute”, <i>Rice Technology Bulletin</i>, 60, 2009, ISSN: 0117-9799.</p>
      <p id="B16">REYES, D.: “Del arroz en barco al arroz que cultivamos”, <i>Granma</i>, única ed., La Habana, Cuba, 10 de enero de 2019, ISSN: ISSN: 0864-0424, e-ISSN: 1563-8278.</p>
      <p id="B17">WASHIO, O.: <i>El cultivo por siembra directa en Japón</i>,
        Inst. Sociedad de investigación de la siembra directa del arroz de 
        aniego, informe científico, Japón, 32-40 p., Publisher: Japón, 2004.</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. 2, April-June, 2022, ISSN:&nbsp;2071-0054</div>
  <div>&nbsp;</div>
  <div class="toctitle2"><b>ARTÍCULO ORIGINAL</b></div>
  <h1>Evaluación de la calidad del trasplante mecanizado de arroz en Cuba</h1>
  <div>&nbsp;</div>
  <div>
    <p><sup><a href="https://orcid.org/0000-0002-4109-6868" rel="license"><span class="orcid">iD</span></a></sup>Alexander Miranda-Caballero<span class="tooltip"><a href="#aff1"><sup>I</sup></a><span class="tooltip-content">Instituto Nacional de Ciencias Agrícolas (INCA), 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:alex@inca.edu.cu">alex@inca.edu.cu</a></span></span></p>
    <p><sup><a href="https://orcid.org/0000-0001-9875-0317" rel="license"><span class="orcid">iD</span></a></sup>Guillermo S. Díaz-López<span class="tooltip"><a href="#aff2"><sup>II</sup></a><span class="tooltip-content">INCA, Unidad Científico Tecnológica de Base Los Palacios, Los Palacios, Pinar del Río, Cuba.</span></span></p>
    <p><sup><a href="https://orcid.org/0000-0002-7406-4715" rel="license"><span class="orcid">iD</span></a></sup>Michel Ruiz-Sánchez<span class="tooltip"><a href="#aff1"><sup>I</sup></a><span class="tooltip-content">Instituto Nacional de Ciencias Agrícolas (INCA), San José de las Lajas, Mayabeque, Cuba. </span></span></p>
    <p><sup><a href="https://orcid.org/0000-0002-2112-5801" rel="license"><span class="orcid">iD</span></a></sup>Calixto Domínguez-Vento<span class="tooltip"><a href="#aff3"><sup>III</sup></a><span class="tooltip-content">Instituto de Investigaciones de Ingeniería Agrícola, UCTB Pinar del Río, Cuba. </span></span></p>
    <p><sup><a href="https://orcid.org/0000-0003-1769-7927" rel="license"><span class="orcid">iD</span></a></sup>Pedro Paneque-Rondón<span class="tooltip"><a href="#aff4"><sup>IV</sup></a><span class="tooltip-content">Universidad Agraria de La Habana, Centro de Mecanización Agropecuaria, San José de las Lajas, Mayabeque, Cuba.</span></span></p>
    <br>
    <p id="aff5"><span class="aff"><sup>I</sup>Instituto Nacional de Ciencias Agrícolas (INCA), San José de las Lajas, Mayabeque, Cuba. </span></p>
    <p id="aff6"><span class="aff"><sup>II</sup>INCA, Unidad Científico Tecnológica de Base Los Palacios, Los Palacios, Pinar del Río, Cuba.</span></p>
    <p id="aff7"><span class="aff"><sup>III</sup>Instituto de Investigaciones de Ingeniería Agrícola, UCTB Pinar del Río, Cuba. </span></p>
    <p id="aff8"><span class="aff"><sup>IV</sup>Universidad Agraria de La Habana, Centro de Mecanización Agropecuaria, San José de las Lajas, Mayabeque, Cuba.</span></p>
  </div>
  <div>&nbsp;</div>
  <p id="c2"> <sup>*</sup>Author for correspondence: Alexander Miranda-Caballero, e-mail: <a href="mailto:alex@inca.edu.cu">alex@inca.edu.cu</a> </p>
  <div class="titleabstract | box">RESUMEN</div>
  <div class="box1">
    <p>En
      el mundo se va imponiendo la operación del trasplante mecanizado del 
      arroz lo que requieren ciertos y de determinados requisitos para 
      desarrollar el proceso con eficiencia y entre ellos está la producción 
      de las posturas en bandejas, en Cuba se están adquiriendo máquinas 
      trasplantadoras con el sistema para el llenado de las bandejas, por lo 
      que se hace necesario establecer una tecnología que permita la puesta en
      explotación de las máquinas trasplantadoras. La presente investigación 
      tiene como objetivo evaluar la calidad de las posturas de arroz a 
      utilizar en el trasplante mecanizado en las condiciones de siembra en la
      provincia de Pinar del Río, Cuba con la utilización de la 
      trasplantadora ERP-60. Entre los principales resultados obtenidos en la 
      tecnología de semillero en bandeja al momento del trasplante se encontró
      interacción entre los factores en estudio, cuando se mezclaron los 
      elementos componente del sustrato y se dejaron en reposo, las plantas 
      encuentran las condiciones adecuadas para el crecimiento, en el sustrato
      de cuatro elementos (ST+MOT+FCSM+CAC), con 30 o más días de reposo; lo 
      que permite lograr plántulas de 15,37 cm de altura y 2,19 mm de grosor, a
      los 19 días de germinada la semilla, cumpliendo con las exigencias para
      el trasplante con la máquina ERP-60.</p>
    <div class="titlekwd"><b> <i>Palabras clave</i>:</b>&nbsp; </div>
    <div class="kwd">semillero, postura, bandeja, sustrato, tecnología</div>
  </div>
</div>
<div class="box2" id="s1-body">
  <section>
    <article class="section"><a id="id0xb229700"><!-- named anchor --></a>
      <h3>INTRODUCCIÓN</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <p>Cuba
        necesita importar más de 400.000 toneladas de arroz al año, por lo que 
        se lleva a cabo un fuerte programa inversionista con el propósito de 
        sustituir las importaciones y garantizar antes de 2030 una producción 
        nacional de al menos el 85 % de las 700.000 toneladas de arroz que 
        consume el país anualmente (<span class="tooltip"><a href="#B16">Reyes, 2019</a><span class="tooltip-content">REYES, D.: “Del arroz en barco al arroz que cultivamos”, <i>Granma</i>, única ed., La Habana, Cuba, 10 de enero de 2019, ISSN: ISSN: 0864-0424, e-ISSN: 1563-8278.</span></span>). </p>
      <p>Sin
        embargo, los rendimientos que se obtienen como promedio en los últimos 
        25 años no superan las 3,75 t/ha y predomina el sistema de producción 
        tradicional en la mayoría de las áreas donde se cultiva arroz (<span class="tooltip"><a href="#B11">Miranda, 2020</a><span class="tooltip-content">MIRANDA, C.A.: “Impacto de la tecnología de trasplante mecanizado de arroz”, <i>Revista Cubana de Administración Pública y Empresarial</i>, 4(3): 334-349, 2020, ISSN: 2664-0856, <i>Disponible en:</i><a href="https://apye.esceg.cu/index.php/apye/article/view/143" target="xrefwindow">https://apye.esceg.cu/index.php/apye/article/view/143</a>.</span></span>).
        el cual exige de un alto grado de mecanización (cultivo especializado),
        condicionado por las diferentes tecnologías de siembra que se utilizan y
        las extensiones que se destinan para su explotación. Una novedosa 
        experiencia se tiene en la introducción de tecnología de trasplante 
        mecanizado de arroz con trasplantadora autopropulsada para garantizar la
        producción de semillas de nuevos cultivares de arroz. Esta tecnología 
        aún no ha logrado posicionarse, aunque presenta una serie de ventajas, 
        tales como: la reducción de costos (mejor control de malezas, 
        principalmente arroz rojo; y la reducción de la cantidad de semilla/ha).
        Además, genera una mayor sanidad de las plantas de arroz, debido a la 
        baja densidad de siembra, mejor desarrollo radicular, que permite una 
        mejor absorción de nutrientes y desarrollar una mayor resistencia al 
        volcamiento. Aumento en el vigor de los tallos de las plantas, al 
        existir menor competencia por los nutrientes, agua y luz. La tecnología 
        de siembra por trasplante permite el control de arroces contaminantes, 
        ya que el cultivo lleva cierta ventaja sobre el arroz maleza, al momento
        del trasplante; además, con el manejo de la lámina de agua, la cual 
        permite obtener un cultivo libre de arroces contaminantes (<span class="tooltip"><a href="#B13">Miranda <i>et al.</i>, 2019</a><span class="tooltip-content">MIRANDA, C.A.; MOREJÓN, M.Y.; PANEQUE, R.P.: “La cosecha mecanizada de arroz: experiencias y retos”, <i>Revista Ciencias Técnicas Agropecuarias</i>, 28(3): 75-87, 2019, ISSN: 1010-2760, e-ISSN: 2071-0054, <i>Disponible en:</i><a href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S2071-00542019000300009&amp;lng=es&amp;nrm=iso" target="xrefwindow">http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S2071-00542019000300009&amp;lng=es&amp;nrm=iso</a>.</span></span>; <span class="tooltip"><a href="#B11">Miranda, 2020</a><span class="tooltip-content">MIRANDA, C.A.: “Impacto de la tecnología de trasplante mecanizado de arroz”, <i>Revista Cubana de Administración Pública y Empresarial</i>, 4(3): 334-349, 2020, ISSN: 2664-0856, <i>Disponible en:</i><a href="https://apye.esceg.cu/index.php/apye/article/view/143" target="xrefwindow">https://apye.esceg.cu/index.php/apye/article/view/143</a>.</span></span>; Domínguez <i>et al.</i>, 2021).</p>
      <p>En
        Cuba los Productores asociados o no a cooperativas, fuera de las 
        tierras de las empresas estatales, utilizan el trasplante manual como la
        vía fundamental para la siembra, donde el productor secundado por su 
        familia, enfrenta esa gran tarea que implica esfuerzos físicos y la 
        exposición directa al medio contaminante de la arrocera (<span class="tooltip"><a href="#B7">Hernández <i>et al.</i>, 2016</a><span class="tooltip-content">HERNÁNDEZ,
        B.M.D.; DÍAZ, L.G.A.; CASTELLS, H.S.; LEÓN, S.L.E.: “Adecuación de 
        sustrato en semillero de arroz para trasplante mecanizado”, <i>Avances</i>, 18(1): 49-56, 2016, ISSN: 1562-3297, <i>Disponible en:</i><a href="http://www.ciget.pinar.cu/ojs/index.php/publicaciones/article/view/147" target="xrefwindow">http://www.ciget.pinar.cu/ojs/index.php/publicaciones/article/view/147</a>.</span></span>).
        En el mundo se va imponiendo la operación del trasplante mecanizado del
        arroz lo que requieren ciertos y de determinados requisitos para 
        desarrollar el proceso con eficiencia y entre ellos está la producción 
        de las posturas en bandejas, lo que implica un sistema de equipos que 
        muele y tamiza el suelo, llena las bandejas, fertiliza, riega y siembra 
        la semilla pre germinada (<span class="tooltip"><a href="#B2">Domínguez <i>et al.</i>, 2021a</a><span class="tooltip-content">DOMÍNGUEZ,
        C.; GUILHERME, A.; MIRANDA, A.; DÍAZ, G.; RODRÍGUEZ, A.: “Machinery for
        Direct Sowing of Rice in Agricultural Conditions”, <i>International Journal of Food Science and Agriculture</i>, 5(3): 471-481, 2021a, DOI: <a href="https://doi.org/10.26855/ijfsa.2021.09.018" target="xrefwindow">10.26855/ijfsa.2021.09.018</a>.</span></span>). Una hectárea de suelo para trasplante requiere de 400 bandejas de 0.30 x 0.60 cm <span class="tooltip"><a href="#B17">Washio (2004)</a><span class="tooltip-content">WASHIO, O.: <i>El cultivo por siembra directa en Japón</i>,
        Inst. Sociedad de investigación de la siembra directa del arroz de 
        aniego, informe científico, Japón, 32-40 p., Publisher: Japón, 2004.</span></span> [6] , en Cuba se han adquirido máquinas trasplantadoras con sistema 
        para el llenado de las bandejas, por lo que este trabajo tuvo como 
        objetivo evaluar la calidad de las posturas de arroz a utilizar en el 
        trasplante mecanizado en las condiciones de la siembra en la provincia 
        de Pinar del Río con la utilización de la trasplantadora modelo DAEDONG 
        ERP-60 (<span class="tooltip"><a href="#B4">ERP-60, 2000</a><span class="tooltip-content">ERP-60: <i>Powerful diesel engine for fast and upright rice-planting. ERP-60 series rice transplanter</i>, <i>[en línea]</i> , ERP-60, 2000, <i>Disponible en:</i><a href="https://www.daedong.co.kr/eng/product/transplanter/ERPseries.do?series_id=2000_ERP" target="xrefwindow">https://www.daedong.co.kr/eng/product/transplanter/ERPseries.do?series_id=2000_ERP</a>.</span></span>).</p>
    </article>
    <article class="section"><a id="id0xb31d400"><!-- named anchor --></a>
      <h3>MATERIALES Y MÉTODOS</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <p>Las
        investigaciones experimentales se realizaron en áreas experimentales de
        la Unidad Científico Tecnológica de Base Los Palacios en la provincia 
        de Pinar del Río y tuvo como objetivo evaluar la calidad de la siembra 
        de arroz mediante trasplante mecanizado con la utilización de la 
        trasplantadora modelo DAEDONG ERP-60, <span class="tooltip"><a href="#f7">Figura 1</a></span> y la <span class="tooltip"><a href="#t5">Tabla 1</a></span> se muestran algunas de las características técnicas de la misma (<span class="tooltip"><a href="#B12">Miranda <i>et al.</i>, 2021</a><span class="tooltip-content">MIRANDA,
        C.A.; DOMINGUEZ, V.C.; RUIZ, S.C.M.; DIAZ, L.G.S.; PANEQUE, R.P.: 
        “Analysis of the Use of Shift Time of the ERP-60 Rice 
        Transplanter/Análisis de la utilización del tiempo de turno de la 
        trasplantadora de arroz ERP-60.”, <i>Revista Ciencias Técnicas Agropecuarias</i>, 30(3): 42-50, 2021, ISSN: 1010-2760, e-ISSN: 2071-0054.</span></span>; <span class="tooltip"><a href="#B4">ERP-60, 2000</a><span class="tooltip-content">ERP-60: <i>Powerful diesel engine for fast and upright rice-planting. ERP-60 series rice transplanter</i>, <i>[en línea]</i> , ERP-60, 2000, <i>Disponible en:</i><a href="https://www.daedong.co.kr/eng/product/transplanter/ERPseries.do?series_id=2000_ERP" target="xrefwindow">https://www.daedong.co.kr/eng/product/transplanter/ERPseries.do?series_id=2000_ERP</a>.</span></span>).</p>
      <div id="f7" class="fig">
        <div class="zoom">
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            <image transform="matrix(1.3774 0 0 1.3774 0 0)" 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DnK8wx3k%20GGDI8tg2gZIQfy4R73jFMU1ykAMd09ScZDEKNoLREB1HkEApjhC9kPkjvFzUZ371EgVWqDf/HeEA%20RiyqYYUCD2weNYxpnTYaySL8gQqJOII70OGOcngWaODA4BsU0AE2aGHGl2AtC9jg4Q54mNJk6IAY%206lCHJ5j4CVq4RAcocdokJIESpj61HkxNCUpIgBLsfOdulaCEQvj2DlI1hzl4wAN0kKMgDEWiGHsG%20qe+ihHYFSd8Zlm1LL7iDB0i2MjDdiudywOMBpQgHPtXnVqHVxViCFSQmXiEOew4OvW9zARF7SaeR%20WvUPK1YAqiWAATpIFdpDfvAbBpCNFqQBDGAwxL/BgAwwtKAFAWgBDAIAAwdk4N9pOAEb2MBaMUi6%20Bz2IQVFbG2KjrnbEpjVtp7WQakqMWsYY/0CAAYDsDczO8axOPuZ8uW0HPKAAERLgQG3HwAUe6HrQ%20syvYcs9Rjga806/pDZm3rVc8TICAhudGr6HPQcQi1oW6/kjiAeQQ71FLQA8PKIQQXHkEG3AhEcHQ%20QjYGHoC2VyIblUiDIQAOcEPAAQ4woATE05CGSvhd4TAI/CQGP4kv3CAGLBCxh1c8YhgroNSp1kOr%209ZAARJwBvS5H8KmcTBeCEo8d80BuOs6ACEafYNNbkLGOZ+nUHzeABw2oxQyCgYE78ODIm80qMLGr%205AKWBAQiPUcFyzxAg3Suo+cSfjqsyvU+kOHxp6YEBqbP6AFs4QRt74f2M9CCOBz84M4whP/4DdFv%20Z/QjDjDIBtxhEHdkICMN7ue7/Off92yw3wEneAT2A/AIGPM00zwlBh0wAAlweS03Xm3zSAITUNhx%20TOZDQQeQCAMgAQMAA5wWfRyQAHrQTu+UW13ABEwwBmPgaqBwbxC2ZWbFP2Dle/6QA5iAXl+RbP6Q%20XIxkWfPDYM/wBJfwBAqAVKY2Y1vQdgHgAG2nftoXfr7gDObXDwenfd+nhC3gDP7WApXQD2ngb2DQ%20d37Hfn5XCenXAgUnfmAAB4bQdnQnf1RYCSdwAlswAAOABwfQcthFRzDHE4exHcb2D19zAPaQCLiV%20AK/WTpKXYiy2YoMXaUhFBj2gBa6GAZH/gABdwFSz1EpeEFX5NmSE5mu+Rk3eEAU5kA7lEDSYtTbi%20UxBmlQ4uMw7wYFxFUAYQAAEk8IokMIuEQAKE4AuEIIUZEAcZ0Iu+sItx8AnB6AqfUIxxoH7ZkAHO%20wH1S2AJMyITglwZKaH7c930Hp34tAAGWYAkXsACAsABU8AfiSAVyQAVlIAdVoATxcADfYCduxQ7q%20Q0OOUS3I9FEidI93cTwANY9QlhvHtHRWdQRe8AZC8AYIYJAmN2Kepoh10AOXMAlIhXEngGobCE+/%20MAA450641QVK4AQ/4AY28GPwcF5YVk+diFigl3mkKD7UoyAEoQHCAAsegAbJQAMVMIsQ/wAIDwAJ%20BtCTBlAKGBAAGfCLcPCLrrAFnwABcbCU06iMSuiU09iM/TaV6pdwLVCN3+cK1xgHaYACVWAAyzYD%20xkVVYzmW+EYOlfWOXpY8sVJYfNFLv/M+1pQuH2RM+vMaeShCAGRPaJlVDUAHXfB1rRZpm1YHYqAF%20HSYGApgEwUAHb/B1l2BxIsZaqXZyozZ9KvcGTEUHAKAIZKlKUhVVQIYOAgRsJXEOjZACWXALa6AC%20zWALawAFolABobAIpBACnpACUXAEdnAA0EAAEIAIOzAEjECWcIYD+YAHRbAHRZAI1oAFfxAEQSAH%20ZVAGy7AMsEgIGWCLOPmKp/CKsPidtP8ICAkwB8iVOSCDQWlDQ+4lRS7zjqd5DozDj/VYGGR1FyGR%20n1RBFPADG8d0PL3DRYZGOOjAA3SAALSnACamkCsWA1oAA2LgClqAAKt0AY/AaRh6Axj6YiS3agOQ%20BFuwBRywBXqABjuQCOH4Bw+QB+/0AFSgCD9wROmgOf+wNuEQSivgA5yABTLgAz6ABosQCgSQBYuQ%20DDIwC0HwB4ngigTQAEV2AJsFpaJ1AMgVpQcgZFf6mWfAixDgChAwAGfQk5DQBZHAThSYABj5AGB5%20PudzF5qTebvDOe4In2kzPm1JRQU0L39DTKuRh1/jUXSiOQZjRy6QdQfAA+0QAXdwBHj/IAR4UAqI%20sAW6dQEEwAQ8wAjUQAW19XV6MKIk+qnEEKIkKlsDQAmlegG6xQGIYH0kZ2qU9wAu5BgFYQe4UAwq%204AH5wG3gcA9zMAr8AAJWEAKk0ECkQAM+QAQkUAU4kDuFilEvhTuGE3RXB484IAACEAUHgAMCJEJJ%20JEDGdT7jYAe6gAO6oAHmmgMgAAJRMAtRsAf1UA9bBTL6hEns9UB2WT8l5DeBMRz/+Kd19BVc1W7e%20YA7v8A6f6WMPMACudAFE4AU2sAOg8FR0MLETW5A+iQAIsGESoACv1qmpRwQPsACnoAduuAWPoAUk%20mgB/YFwj0Tt2AgKiIAW24AGj8j6I/4ZZLqAP6qABDFABZYAGaCAAobAEqEAPnqU2vYNPXARGFpR1%20tIMHoSAAe3BVswOKWIZVeyRA9gALi/ACoRAKJnIkX4siXxsKQAAPblU9MjWHb1Of+DkY+okXcSs+%203WVFpJGX+Ug7hCNR7QiPAUsQKAEOByAIQUAOg4YOy3oP4nA+oFdEGHRuVgaKdnC4V/oOOKAD1CAA%20WOAO6RABDYADZ+AGieAESrABuANsa0NEdhAFL1ADvAIMiVY7/1MQjeAP6OAJQCAAmwAFrSkKi4AF%208JB1AzNApAmw95kOG7AINIADgxOKeCFA5iMD/HJSOHIjmVAMK+Ar07AnqZMCLjc7Vf97aPK6F7v0%20FeUbPHIZEve5FwRDVjTaEnSLPfdKbGdxTHkbdeTAty6QtstEo/YUBFhguElWDgbhVsv0uEoEvpqY%20e5lIA9TQAJxrVUMGwcblDd9AR+USbOugCSpQA6IQAhpgB+gFQ3WSaE4bBEFrCbFpCyoAm4sQBOpQ%20DvA4Qy/kSMNbBECABvCwWZfjjsKbDrOAItPALyo1DWqwAkd8NdtrArGQCRowD5ilwLVDYTHlSPFb%20F/bESNLVF1MhDlZsEFtMtwPSOHdbNjExh3iBOA0lNC4XPOkgAyBAO0fUCOLACsykQU00EHZZbl9z%20DtJpaCVRD37rrACVLPAAArFgBrf/kCKCcA/oSTBaGwSzkAxDEAIekAwMcAqLkDUegAVFgAcbsAF+%20QA/jUA4JQjtqQw4/cAoCgAfucGQHQA6xfLibtXzZiyNqYL0oUgzFkMRXY5tTkAMuRKVjaVVlacxl%20WZZS9WNHcABH8Eq85g4Ndks+5mNSdc23dABeQFXV3MwNRpbe7MxAlqVRSg4kXKecU4N5ikzUsVYu%20gcb5CEwJ+DXiI8noMIN1cg8gEA7MJHzgu1w2jMEJCABBwC11wrhetlHrQz3j4AkqcAuuaQukwAn3%20sFV45ANUqq0ShVy9KQgvkAVZQABogAPw4Ad+oA66gAmzwAmzAAIhFQRlgAg24A7w//BgVIUDDWAP%20EYADNoADSDAIo7QLorALRF3Uu7DI/EIKpJAFJgANZbADzyAH0ECOf7ADcnDVf6AIv6UIfxDVf1AG%20VAANBQANV02dCZAAXaAKSkAFRFAGKECdgHBzckADBXCOctDWcgAAO2AAD5AAcrADVn3VZWANZTDV%20z/AHZF0A06kInkswJjlFhRw7QWQZZgwTNkwS/pp1tyPP1EMQ5dDSa6M29FAO+oAP4XDa4RABpx0B%20xtUOB+Da4wClz1WSB1AOQxAL6uCvS+PFdxqDBDwHHoALL7ALt7IN0wALnLAO6pADWWClRBdd7FAO%20+aCaUiAKzwAPbcVR6SDCe5QIZ/+NCFMNDTeHTmXg16eABmUwpNMQCruwAiB9NfDtK9RLCj5AAARw%20CogAngkgi8vwALP4Cew0i7PYBbBIAlTwANhgCRBgANoIBxAgAYAwlL4AATOArG2AAmcAi9hQCgBA%20AwlAAg/wBx9OAr5wCkJQBgBQBgJwBAsgB995Bl0Qi5YACYhABZeXdegLuOxsNJTTPJgNz75GOAPU%202cgCArzwXKF9DvpADyUwDk3+XKV8AOYg5VRuDvBw5Vh+5bAgA+MANFMmU/ZINTDlD+qgCSFAC6MA%20DC+wDdsgDbEQAiswCHvEvBY8UmB0DupgApuwCZ5wXPEaU86UCMtwCiRgCXLwByT/gA1/AAkJDgll%20AAVDGrWhkAmhoAbgMr1CfMShQApAUAFrgA0PgALY0AbLUAq+gA2nYADLgA0lPgDnTQIVIAQPQACW%20gAhHAIuWUAgGkAG3eFtbUApxQAiJMAM4OQOQMIsc4A6qkAgkIAdCkACfEOMLbgMFoAQE0AUzIAeQ%20UAFK0ACnQABt8AekhwIu5FnIsiF8yhl56D9CsTT3KFblYmYZJA4gIAyvsA9EZ2XmUA6coznKhcpI%20m0nOirS9owH2YGj/cEdlxVH1tZ9zkWiItg4yIANWAg7qwAsvIA3F0A23oDY54AEpoAH74AIl4A3T%20NEPqEAvGMALrAENICw7oAA7f/4AO1oAIKJAIAkACeJAAbZABR/AJ2AABZ/DtFUCkII1S8I30voJS%20K0AKyUAA0KCdZwD0cMBOtygBuw4HhCAE+F0KQX8ECYANJACWs3gKDQANQykBGQ4JkFDiZ1AFFeAL%20n3AEZWCL1nAGcoAI2ED2ZwANbXAKzwQNgCD0fyAHgx6BEEAAJHAEZ4AGRVDuw5bGZdzjH/QY+XW0%207k6HLgAOnIAKLqABr+AHVhYPgDw/uIMumbQ2NLT6a1ME6yAScsltg9WWhzIPoSg+KcAJIaAhyuIH%20I7ANmaBQ+HAMxTAFvPwCHuADMsALmiADsTACoaALMESv6IIOgv4AjE8AAiAEEP8Q9BmODYCABwJQ%20AVeQOiqVvSd19HtyNStAA2iwBn+ACLFYCrAIAQjwCdtZCg9ACIQAEBzOnDKwrA2KgSR8nakShwSi%20I59IZDCwJ8EZFNhQHDil8M8ZCCQInEnUEUK9LhCOQPCV7ACiU5Ye1ENxSuOBPyQsbYRUAIc3dOfA%20+SNalKg3f/+ULmXa1OlTqFGlTn1KdKjSpFLF+du61dtXsEi5iiO71ai/dF/LGQE2T9y6HDnQoUvn%20jx07u0Tx7s2LV29RdubiRfB27tzddOyQnvMmTuzWf0bdinMB7uucECA8rQOhidOsZlJG+POGqVmW%20UCvWmJKyRsBqKGsqeDpAOp3/YbxfzyVCAe3IAWsVEBmAkGGAgVMQlhEYYWJFpkzP1UDPUj0Ts2KZ%20pnlgQACQAQ6EHpSK4yCBgQDpDejJ4KtUqQSlIGBDQB7CgDMJ4nwycMZhnCP+gOSMDEgYMI5T4jgD%20EgjiSOAIRBR6sAxo/DMQpDgyOGMGEuLA5owz0FAIkgbKUGQuuvyZx6jIvjorK6zOompGGmtcisXI%20puqKK9JIC4vHssyySrG0vDEihXPm+QqAIsixwxu/XgTsLyr9IScHP74Zqq7EXBSyqMj6okyccdIB%20Jx0QZJDhhRFEMWGXbWoYwTINRFnDFigEeEYHRRTBQhEAsNjDm9qQEueco9DC/wOFP45I5wBoSBjv%20k1NKQS6ULAgwIbsVRoDu009xyWQXZnwQgIH8EJAIAQnigKAUBSBwYAsEHMiAoAFKkaBBAwY45RNL%20ITjlwQjjwGKGMs4ohQQIlN0PomU+eRWkWw2wBpAzIm2WvDjQOEI+YY9QwqFTZsCDBhzoSufLpMB6%20kal3bZR33qasygpGqAwbCq107HjUX3YS6yudGO29SwZB7vIHnByiSIsvoso6xzF/EPUmxrL8MUKO%20eCae5667JHYx4innmceFrQ5ISx8ZUlihmBeysMWYTUa4K4pNoLAEAgSEEIKONwwQ+g2i6fDiAHLm%20SnppHaj4IwJ3DjigVQwGcP/AFQMeIMQSAQiooIJMi8niaxIq8HoRswmgAQJLDEBAAQwccKDWLQJA%20QIurk1DghABOQIADDDrg4BMETnAABgMUkBuDGfTgwAEDMNDDC0Qg4MCAurPpOQ1XAlA2AAfiEGIA%20Pc4YIA49hEggAwckmOHxEyKZQYsWtuCggT/kaICufcH0UcobZaR3eHlxxPcpww71Jp10jnC+gXoO%20ANkocMBBFFHAPEkBL3/XGaccdj7Oi0cpVRSrKHEKqKIcsla0I2SyzkmnHJL1umueVYTRoIR00PEG%20nFbEohgrmEYmzLAJY2ThfRrIAgD+IAEJDKALCFgAJfSQBD38AhES6MIMGtD/jnY0IALwCKES/uQF%20d6QQcwPAwCdcMYABYMMSF6iAJQhgCUtUYARfw2EOQwE2AhCBBNhIgBYCoACrDeATs3KFFrLxCFc8%204nCP0EMAtNABSjiAEluohCuIoQcHGC4Su3LAACSQgS68QQIB0EPnXMGBUvDNFQ7Ihdw4QIkB8MwA%20rojDAzAQAA4E4A0IyIAWOIAADGRDbgZIxAX2cACkrIh87qofUQoGJuJlckb2woqOXGCXfp1BAg+Q%20ANxyYQA6HMELDWDlKt3Byqg1wA52eMYfpEaOA/iPfsxjHl3QQY7EBBNkAQuY+PyBB3hwxQUoE8dk%20likkxSgPKeygzCpCEAV0/xxgdyUigAAEYImcbaICy8sBDnoRiQ6I4RK5QMAl2MACePZBnn2IgQLs%20qYBc2BMDlHhCB9j5zz7cQKBiqMMJJuGASzgAdHJ7xEJBlx6FKvQSAWhBH1rQAi1gIAms68CsapcN%20LaShDg7QAgzSowcMPAIM5ZFiC+SGN9uVsQUn+MUbusABMLRAinxzAAe2oAXWsTEbLSDBKYQgAVv1%20dFYBeAQHMrAFuZ0iAEk4BQcs8SCV1aV8wAuTJTX51akYz5N2scMBEoEI0j3CdnrQwwO6EIlIQKIL%20XRhDF5SQiLviYQ/JKAMejoCHImzAH+EIxwHKKjXEnomXi02MwpLSP3CQ5f+Zki0L8/CyFUTtpRH6%20cME+lnCERPxBCWegQtmIIAAo5CwLX/kJHyTQzyfgkxI9gCcLbjDPdFrwgklIAj+TcIne8laeMaAn%20PZ9wCUpQorfJZW4SYtuBDiw3uViMQT07kNG7BWCPJ8ioFk5wAnv2rQN/Q0AHlogAKz4CAZTAKAbe%200LcTGOANv6CDBBRpgFnNDQFgGEAActFfJ6pRAkKoogTeILfWgUduW6CDHS8gBEDYcn7oSxS+jic8%20sGYYXgu7V1gXxo4DuOMBCZAAMR5xCRSfOAlauMRxyRBQFLd4C49oAxzAQAidKOEANhAABCAQgFPY%20kQMJgCFaISiB95SiPgb/KAUkvuECcnyFHPJ4B5VT6L+J2cUwhbHLOPzhAqHsABIPoMQVMWi7DLQB%20GyQgAQ8a4EFHJIEN1SVDLp7AgnfOOQa1ZQEZntCHOlyiBzdgAW37MOhC92ASgxaBCPZM2xj0YJ59%20YAE9ifsEMWD6CcSNNAuuWGYMRMIBejBAecbLVBggYAvcRQApEdDfULtiCwoY3Se2kDUIbAE/kUij%20K7IRCfxuIQFCeEAAzCiEALgCa0I4BSTAo13ifGIAQjBABvRwgRlUG4YGmAEgdOyi82Gyq/USt4Y1%20LFapEKURaDlAHhCRXBUrF8W/RTEZyHCJPlyiDrxNwo17egEI6BgPPS5O/wYKdHA2E8IXC1+4wgnx%20cBIQAswlKIc53CEPefDgHa+cSznAcZfrUYmz3kgEEQYQXQUoF4+O+8UvLlAImLsBAZi+gRgUcO8v%20WCDnAmXBF74wiTrIEwZpqAQMRMACEQj06IdudA9oe/R4siDSMbhBdRU9iRg8wc+YFkMP9kwG3ipA%20AuuBAAb+6ACzMzWjJE3AGz6BgVJIq7wvRAAC4qDrGSTghRhQnRBKkQ0IGACpHJDdQuseB1cMuwvD%20KUUZRVkeRJjOQQ84wgPuLoEjdEEO6foKu6iHo64ez9xf5WSOpJIWojAmAg24wwzowIU3FAIPicia%20GTtg7z3foA4EVYDB+//ABjy+4QjE0YMW+iCGOT/hCQId6PHFoPs61OERdQA6Od7hbLc5AgGDtCcC%20DHAEKFHTMIyxS1myCQgJyNPeffhzHWCrgCdoQW9PqAMMKpEGigYA/zBoQRrAgIw06L8MUDiSoqhs%20qIRKaIH7S8BKOBwYgIFseMAIREAEbIH8Sw/WCZ0lCiMHkCIYOIEkqLux0wMIEAKoAq+OcgW4MbYB%20eIMEWK8mQo8t2AIhiAQr6hlASp1IQAREMjYDsDUHCJoAmMFemZUHoINTiIRCyKNIoANZCYBSoIML%20gCpUyoA3QoAZWIATWR7sMQrFwAutehHIGL1zwyTRawrUqx7GSCEeWCX/HkCsIziDqtECBaC6SfgC%206Ou3AKC6JBCIBjAAEhgALbgBPPyCOjBE5ktEeVI+9kMxczAHIrC1CyIGYriEK9KCBJCDRAC5LYOS%20iBGHbIKEAQgo3CODGCADexKDFTMcirq/fgADWASDNEgDQ4DFWVRAW4HF9JjFWQTANECGfphFWeTF%20X0SGSvBFXoQDQ0iPGyMEgzOE8gAD1iGD70oCNXKbQMKcGcwF7xKDqpkVJRuAV2uBB0Av23mDDjiB%20tvsjDhgAOlgADHi1OKg7K4IAOugo8MKvT/iESDiDBysFDoCAQbq7bHiDMXAGTKQDA2iBIZuBM6CB%20DcCyKPHCfQk90CND/9LjsE6SCpAJEvkBirngpbJqABtIhDGogirogjyYK7rysQcYsgs4ggYoBAFA%20BJscgARIgF8gAj34Irb6yZ4ESj2QAI0jggtwnBlMgp8aAKg6hV9ADNKYmMYYCnRwB3QAgAIYHK2U%20lqUKAEPIAFkMAIN7OIjzsZAoDrSMgwDQiYjzhYkIgKHKhgzIBrhMD1/IkDiIg6G6qBYoj+QQiSwY%20hBEYm+coBiCggZ05uScYQrghNcXRG5J6grjRgozqG/VCqVyoIgPwri0wuw5UAFVTqw4wgEeIHLkZ%20HaaKxyH0mz+aMTroAgNDqk+gA6vRg2mrokcYAD5YgDgYgGA4gwcYgP/dWSZ2sAPyGZOPqxiyQB8X%200KoVORQfoSRxwMh0M8Op8IuM8RHmAablAYpHeSVWagAvWKWjQYQ/yLYZ8gJkgYQZcEjXe0+iic+g%20cZu6q7tciIRg4AFQIILxMDsMgBuzU6IEeIA5gAc7sIxzKIcSsB5w8J8f8KYMQMsCcUZnBJ0WAMsW%20IAQwcABLOQOhYTImS7IuGIAH2CCb3CAJcAVnqMUVNQRnMDi5gQBpfNG+NDi13Jqv0aHqQI1ioAXE%20ZB2+WSiVkgBVkxsYOJy+cYA6CIAjnTFAYpUONKIZC6Of+imSuiBjexsHSAKr0YJHSEcrosMFS4IH%200KO6Uc3HObxAegP/IejAyxmIRDiAb9CHunCL6qGMfVmXL1lOalIRRLGMChtD6qwKjTS9qJBOIDmL%20ZlpOSeKlYZKBWUAHczgAeGgEOwCBFSGS7jyfgOElsUAKcDiAOTCHKMCCbBKhqHklG5DJR6wHjwML%20oTCMcQgHeNgAU8GUFQgFAhgbUSgbFEgAs4QAARiEH1CZWSrO4rQKdygrfyGKfimrnIAANPiDMkgG%20EFlVRSAAAkgGAoCAUGCzHM2CHBoBT8kCAtqFK4AFBriq/1SAJAjQT+gADMiFJJgVuOnADpAAw5G/%20QAqAYMAACaibDlxMuMQbl3oEvAGDAPjPeg2qunGpvkmPIWyoOLic/0joryGcKQ6cKkA6gRYYAMAJ%20gAQoBHlwB5nUJrrwGL1wDMZwF3AoB+yBzt+5GK8aVKdAt0P1krGgMGoKEi+0H7vwBBAoklmaB3D4%20mLTopf4ZJmJqLIVhB3AYB6BQGaskhxQST6SRVHKwi6+wnkMRiq9AGnewgT0IAgHIginI0QooqmUw%20CZEgAAZwmGkyiqRFEbDoJXeIVltyHmZFh+CwBBFZW7UdGxIAleoQBVEohmq4AkuIoC3I1w5gIbEb%20AH1SAHm9J7jJ3PqULwPIJwA1JbMDUP9sV0SiBFOyIAC9hC0w3YCdlXhUgCoKI++ywFFzKrj0KbGE%20AEQYTyFIBDyYgf8nKQE+5YrCGBlnXZjI8odyQAoXiYzptNmbLdQzZIooA4vLkhizED+p9IquKAsr%20eIVvOAd9iIx6SL3xMwzmSVQhyTKyqJ7ifB9vWCYXoIcwQBnxHTndKF4emYd/8IZyWN5voIdVwARa%20UIZbAJtQmAIaAAQGEFYCSOBQ2B6TkQy8eM7JOhRywAJvKgJPbASjHYVpWAETEBVRyARzfY4sgA5y%20HZVbEIURmIYXqAZtZbOJYIm7zJCxzEtndICQyAC1NDjQ4YAhA9nHYR2DvRq86cAkiK4y0oKTi9zI%20RSI8ylz/9D46mAEhKARLiUdEqju3qeL66AC4gSsFmDFKEIJHaQz/F8gNKRsZQJ0Y6GRe0ggT6I1e%20r5repfgR9IkfIVlOzOqRmBUHYHiFLfMydggHy/hailmYielCrkjeTyzOLqGMMAiDEnCBS5aswrgN%20/R2KV10echDe8C0BVBCgLBAANECDMmBgEkCNFTDXFOCKPhVD+V2mb/gGLGCAZICH/4mYe+CEW1gB%20UjCBFyigFR6VLEDcXZCGXfCUFbgFD4AF2Ug4Gp6IAZwIhYs4ZhlAZzS4lYIAZywqDEgAElip0PlK%20k2oBaRRLZrxQijI4il3nODCECgUyCLiABQAEhcqQAFiiH5sVMTAcyg3QoZQbC3qAXGqMTP2Kb7De%20HqkeDuuR5q3Z/zqOkasw1HwhP6NgDMaIMmAaPzkuCo4WZFSAYxXxh3FQw6EIkrDozqRlnq9Y2rJi%20h+VtB3coAYpjXpg2jP+1DKXoU3GAWW8gB3J4RKKOAB3oDgYogzJIAAEggdSYgikoICSQY6RIByWB%20H8X4iqvUXRzAaq6YB0HIhFAghdSYBrRG62RW5l3YhUwYoGkYAVyohhcohlCABjRggAsAhFNA5WRI%20jh5D5bOUAx87BUAwy8ohAGahAiIQImHhAIXwMYNjFlshBBnFYYNbIkLIkFPw4czGMZG4AJfrkAwA%20nQmVbBwjBAdoOIObxUqIXAPYHZbW4+jEBBnghIrpkR6paDvuMP+p2LIpYYyGjjL/Kd7FqIvruR5h%20KGlxsJ55mFXL0Nn2demW7p8iMRNm/YpwWFC1KAcu2TKQPmmRBodvIGp5IGpzSJo7UAIBAIQFIAII%200NYEXoEpoG8NSNrl0arrPQqrrQI0QATDWphRkIFXnoZFyIJFiA5zzYJpwJQsUIMVUANOiQ5c2JQs%20AAKmbmwiKAMUQIFlAIQy+HBAGPEQBwQiGHFASIBhyckLaOwy+AU5qCoOeIBP2EpAEGIJCLKe+oQh%20VEsIkACnapAGmQhpccsKgIAySA5n9IXQgTixBO3OlsYMMAT+q4QnGIBI+I2JQZmWLgpyKIcUqAZS%20gAUNSBSx4G3/crtoPFaK5UxO5K4Y8HbkKOGStHAHGcACsNiS5d1UkhGSccOK9fUDmC0HdQDJmHaR%205eXomB4Ko7Uew/iG/4X0cwhfdCgHcsABANiDDRgCATBhmDmGYlBcnP5fOBYHvBiFddgDLEgBIygA%20DoeGMvCBWIgFZnDraaiOFXgOUDHhFE5mt25mEy7hZw4Fb1qEYjf2agCCamCARchrATiFU2AAIBgC%20VS4DGigDNCiAAjjMJeh2IkCDZFDlVD5xNDgFNAAENDDKUyjxFE9xF29sFEADOUiAeAcEGtjwMoAJ%20aP/VZ78AfycBb2pvbADtgP0EBdACMYhtLUGZu1iesQBFI6gG/w9wjlg28zUfVJyFikOZTqMojPNl%200OqpC78Aw5g2AiQAVLXg5SLxErNgF6OVJBWxnnLQh3NQh3YgFHg4gHFoh3KAh++Z+QX9BtQLE7cY%20v0QvXsYoh1yKSHRQhCt4gVx/mWI4BmmghXJo6K0Aszkg8GmYArSdgivY8FMIhWI+BmZ4gWPIhBJG%20XANWBrdvYVGwBVFQBlFw604x4Vu4hRdYhFBg9oCX9kVYhCvw+2+CAmy4goAHgrxGAxooABp4/CUo%20gCXAcBcHhGWQg2otg/ZGgwtAgQtIAL4u7DIg929PZWiH9lRmfAYGfcvPyQQggl/NcHpPgA9vx3gd%20gDrQggeYAf/2QZmFQW6yWIUCYIAloIUXeAFe2Bc5RvMNU3Mdcd+QRwvFiBhmypiuWOmt1oRZqF51%208R+PbllDqaSiONogSQd4AAd6iCx2wAQQ4IRXAAFMwIRVGAd9aAV8sAxA3ejC0BKPB4hzAgWWINeO%203DdU1UwUm7ZixbRiKwaBAJdunj9x/q5lcphlxZUVBMqUWRYq0wpmzDLt2qXi1q1dymTeUmbrpihR%20tl7eGjFoxJo1I5aYECCAAZpFSRcxAMLABAMBQCBYwkZCwCkBFxhwpYGmABAaNArQuNIUiI8lNIb4%20GDL2LQ0gaGhAEGCJxCkUJMt4BeLXr1o0ap16RSOXCJrEgND/JDMMpEAyIkQAoUjQ4ssABA3QCZzH%20Lh3ochFoNWVwpZomcOD8+fPGmvW/2LJn065t+3bt1/5i78b975zuz3ZAgxZn/Dhy47D/efMWghM5%20c83THYBXjpy3b9+8pfPHTqNG3eDmJRcHzk4JTBpWhcME4tUofatArBLnDV+rcc29YWQNTqB24Hgz%200EDflEPPOPJ8gwkmS0wxyEMoFZOFCXb4g9E8IHTETBbThLKCRGWgYFKHLO1yiygjrCBKM8oo06KL%20N93UTDMq7KTCGrZkUY1Ti5h1ilKhJLMIENVU0xRWJGBjiQCLQYCGAGgg5RQDfNGwhFNqYRmWD3F1%20uYNYApSB/8ZdlkBQBhFioaXmlXIBseVfSEmJxmKNoeFDMgz44NQpgEBAAhgwaDHAEZxpxI4/dqCD%20SSxZAvECLOP8s5prrFXqG6aZ3uZfb71hakc55aDjzhEznHHGDEccsGpzrbW2H2iIsvOcf/PMA04j%205GWkm3fseOard7tlhJF56dgBTgqYpDCLIBrMwiAnwniSAgjqvNrqa82Rsy23CH2joDzytOPOO+/k%204I45OdAySDESjZBFJjLY8d08uOwyTSZZhAJvMQQ8gwiJ08Akyi0qZJIJTDRyUwONNNpijDHNbLMJ%20hFdcMQQAQVCxQwEdByHHDiGHXAA1BUiWDAmE4JXABWVcgP/YAi/T8DIES3C1xFFNxUXNWdQQsQQR%20NKtMCCCAXIBGmj4IZuVcfAHBV2I0oJCmVzREhpaWarlMggNpnKAFAke445qA3lDBwAVbZQxAq/9Y%20yqumccetG2+atkadDoggIgEiAyDSBR5HpGMRaNy5Bpp34GjCSXfe2dqIceR9Jyuvr62mGngufKaO%20BuPVo4sGc9yjzz6vLKtOd+OU441qru2HEDnooPONtwrK0o4s5rxjzg+yGBgBLxJVAOIIJtTTiD+j%204LJCRyt+lEkxclQWiiUw7TSCKAjXwM0223DffffGbCO+FCoUM8UUL+ywBxY6MKHDDgAAoAgAf2AB%20ACOqwO//xAJVJABBBk6BiCpQgYBUoAITCigHKpRhB9QAEzVoIIexdMwIBQCTEWiwADolgBAehABl%20ZCYWGvBlTFArABqoIZfEpEkOSEMBCWkAixmWDE0QOEEAWqAFCZyBB+QQUDqKUAYB1OUCRtDBN9AB%20jknx6lJyeyJuOFU333jGH7HzQjD0QIkb3KAPN6jDExSAgDGO0QBmPKMQzPgJCRyhjUfwBjqGY4dV%200REddLzjquxoR3ccoAEN8EYJWvEKepSDHfUowrz8U4/GuWpAh2sOOshBLtnNjhzl0I47IuCOTZoD%20FA3gwSfdMIUKEKACprRFFNiBjjkwpBgoyUIWiiGN6D0g/wEEWMNLcCQKFTCsBlL4pRS2AczuBXMb%20ptCGNtglgPspAQBOYAQTUKG/HTCBmqqIhio6Qc08FAIC3vxFHqIBAFVUkwkAoIISqqAEBKpCCUQ4%20pxKoWQAlqGIMqiDnDvKwAEhwAIAQSEAwqLCAHRgBAPErgBF2sAQIkoUaAhghNZbgMyKUgRoRtSgN%20fJaAXwSgazAQg2bIcQ5vgABtv+AoA3RgDuyUQ1i80ggUY5qb10wRN4jyx6i8gAg9PAEGMODiEy5B%20DD0QtahGHcAAlnGKNvgCAqGAwCJwkI4ohIJOp1hGYqImma1KhiQFAJkifnCEdpzjGyU4hz5wMItZ%20LJKJiP87ln+A+Dp0vMMdsevWttrhR1C64wfm4AFg78CAQVjClBWwxCLmQBxaSGMEu8DlLWZZgAcg%20whJQMEMzoGCMTWwCmNrIySAIdos1iKJ72rBFNaLACzOsoQBRqAIAqsAEJjACfwCAnznvyQRs5iEP%20Y0DALyBABd9mUxWM2EEn8sAE2YZzDMo9YBVUoYgERmMH/DtuJ7pQCgR8AoBEoEIh2BmN44ICuXkA%20QHXHacEdLIAaAKAGFhYgB33ugBdGMAI1FlCGBSCAAwGohA4HgAcehAMYRlBEAahAiQtQgwfuQAfr%20/LFEt8FNpham8GpqehsXuOAc7HAHHhCxAAkQ4xFJSML/JcSghSckoQ99YAELRCCCGHfxCyeAQwbS%20kIYMZAAH6KhCBpzhDDCAARlEJrIhwOAMQzAZDIZwhi/gQAISKIEcJXCBdr4BjnGswx7jaM1Iz9HS%20C42nV+w4czrO8R9wRCdY6SgXD8xxAHbMixFjiEQkuhBcEgSAxxkgQQbo4IVa8IAIUIDCJhCNhj/8%20oQvhtUQboICNSFN6ExX4wQHaAY8I4CAerSgCATZhCUvsQAl/GDUVxlCIBThXudFYgBISqAh0UkEH%206NzBD3YwBj1LYAzOveY1gaFN5zqBCk5QghtU4QTZGnsBCQxnszsBXgX41wGIyIM2+VfOanJhAYWo%20Qh4M/0AFAyygC3/AMxW6rQPYFnu2CCz1GwLwiBZkQwxkMAARVHEAJyAiGAvgQBm4AGEJK2c/lfLU%20haFIN7dhisPiSIc3GvAGA+QiGArIhQIyrgAwXiIGPSCDCHogYxGIQcVgaAGKH7EFHLgDEp/Qwhe0%20UIcTwCAAcQhAAE5wAgfAwBUO+LkDuouIBrjjG/Sgh4HKcQ79xHWkrmHHam7aK9aoWcxtRtSb39GO%20O9gBB3QGgJku8AsJ/CIYGNDiAJKgh347gQ5EsAQBoDBqSMygEF3Iwy8IgI0l7R0bh4aCABpwAHTI%202RwrRYciDm0JOfwgD6ZMNXi7MIYHjIEP1h1DFf6gA/9FmFoRVdABAJTwgGD08xe+Vq4qpJm/WEej%201bGWQzqrsAD+xXMM7KxCNIKBgLN/wtdMICdsOzH7a4Y3vEqARCEggYhaPqDc3E73H8BLBWiqQghb%20wHka6qCFJFxgAbEdtwEQ8QtF8DEjBd8PTRMeUyky3DcuiJx30rwqd/hR8PBAgAL0gGIy9GESIuDi%20JPTBE5xcB4hBBwyAF/BAHmSAFmzBiZ1Y2iXBoDxgDFRCGmQDG4jBAJzBqhyB4H0gCNafCO4VKH1S%20A3jBCfJALRBaLWzGAfCRCvLA7sgAukQDAQTAJVACJfRBLuQCGcTADYhBDDyBAJLBJcBAHficAygA%20BmD/XFBNws89wiM4gBTCABViAAZIgBhN3Bu8AQJQoRQqQBI8wiUkgRiSQRIYYcZhQDAoQXJFFxP4%20FjpVQSEEwxgYwC9wgAEggD11QnHZUyEoW2wxgRMkmBOckzn9nrJl0w4MQ6qNHgf8ghAol3XBGjmN%20wQJwQTB0QRc8wAPowS8QAwe8TEAVAjUlEBegUzWBAjkNQ4m1QAs8gRhkACG0AQGAUMwMwR80wOCI%20w/vZB/rBlPopXPohnG0gh3dwx13FDmj0kQFQwv7FQB+IgP9NwiQMYAsIYBJIgBd4QR5AwABowSU8%20gvZtXzhqwfbJnE9ZQMxpQQKgwPI9QBU8ACc+ACR0/0Ek5AEn6uPddUEVYF4VVAEk7Fpvtd4w9IIT%20OAEepEoDuAEXuMEdYAEDbEs0HMMk5OAlXALG9YEYeNENkMEXPQElZJwWdEAHUML2BVUZPqACiOSJ%20QeMAaJEExKQEEFUSjCQ06h80liElZORKElUkCJQT0BYVJJdzhdcbPECecUCv3V0gRgMTdAITuCEA%20dELo6UCyuYES0N4iYhNUqkIdRgLLEEKvKeKyrVoh5EEw+M8vGA0HAIIeQACerVMexNMPGJvtpSJt%20sdoYwUALaJ8DZACkCcAYEIEAbAI2DEEhDQswYosxDmOmsN9j0gbisEY6QJ2ErQZrkEc6NEAiKMID%20/P8B2YHiTI4dCUCABCRAApTCHbhDbCVCISjB8RlAIpgRJMhmITxjHXyBGPBmBwzKALiCKyAVOnZA%20HRznF0zCbiLnDXzBcR6nGFjjJHBRHUwCGebgAwqVA3AAB+iBF/BBMJBAALqYRuaCi70YjLFAD/QA%20jAVhBrJBDMxYjKknG6QnC8QAC8BnDAjhED7BE3SALPrnEHYAGfgnGYCRLA6o2r3BAjAAbUmlr0Vo%20HjiBrwUDBHRnJBhAJASiE6gCK3JBO/0e/lTBDmABE2CBKmDB5y2iHzICNhVCJHDAALzBGOSPrakC%20FeQXg/3CAvhbJIwBgwZDIUQDhyKQE8iBGyAQF1j/1zUFQyQQA49RoQOQwF1AwwXUxRQYQXHsCvr9%20gzBC5twUI6Y0x01RjkuxxsOlw6g0wAzQgZu+KR3MgARIwAyIpRC8AyPs4vyVoB/tqRe8gR7UQRdF%20Z0kiVXAOp0lqQUeKgSyWXMntJ0cyakdyEaWeZw6ioU5SAjEMlQQEwwNoah/0wBNIIxmUqoupJ6qq%205w3EAKtWQiXAgAWkKozFAHz2gMexga0S4QnEABkwqn/6Zx1UQh0w6rBWZxcJoEnqAQdYghl4aDS4%20QTTQ6BsUAh0wgReMgZx6kwTQaCFwQTR0QjQoQTQc4g9Ew7r9wBCowg5wQejpz7gql4v64RgEwwBw%20/8ADSIBVUoOULAANxKFv+RY+joEjvIGQjoG3TqiyKal1AQAhplqMOoAhxIEWPELKEAAJjAQDEIAi%20dAd5aITruBSYyo1kYsp2AIc4AIdAaAuEcQcyEs5wXOZFaEIKSNgB2ME57IMGnJk/cJisWIQ52MER%20lEJwKsBvmiRSDWcpLEMGxEEHJEEdrGeM/d+qjiobrKoYCOoNsMAXWMDIscA09sEPEuEl9MElFKhJ%20+urV6pwUEoOU/tx/4VxHZYDNPUIAgEEa+JSrtkDevqpP8VxHOQDc8pk3nWY/QQAicMApSABlHS4h%20GC5FMYAlDMIU0IAqGNQCCNQO/MEOMEJv6Rkg/P+CAQzDGHiBE9QCE9wBIzSAE9iADfwAKPzAD+iA%207DKCDvyAEnBBFbhBHoAC/jDBnf1cBnCAVtDAUCakKoCoI35rby2AI1wuuHboITLBkv7Acv3AH4CC%20ItjhvCqJA1ACB0xZKBABCpRSDnTHpGjmwX1pyGLKwk3mbChdOYDHOQDjN0DcdPiiOPRHojSOrHgA%20J2AEaIhZOPgK/qKpgJQDHvwBIhCtFggncA4ABnQANLhCHPjCyz1B1qanrQ4he3IRzcEAG2ytCLDj%20jMlYqJpqEfbqcZ5AdWaDBTqZLxBZBhwZkQVAGuCcB4EB4J5cC+gYLOptGrSA3QoxGGRACwQAd5b/%20nQSMUeOSQBtAwANwACGo5gBAQBtcsZloxRWQkhFMJRP8QeZlrgNd7gIs3wL8wgFhk7pWLv7cASjU%207m1hQTNppTswQd3RARc4gRt0wh2MAR1gwCc4QNqkCRUkmxOMaycoASjkQbKNwYuy2gKAgjixog3M%20ViIAQOzWbhV0QTAEAy0SAuBCAApYAyRAwgQtkh14aXi4SvqtL/tKWKe8sneUx/wSiMGh32uAhwe8%20wsnabwlEgDdkDjvAETk0gBAIQSkI7ScgbTJDgwS7wjLEAQnEgQNogRexwA30QNM+AuL+ScpMWuOi%204xdsrQXcgFBtah6mjdiNIqDxmAeljMqcJhpc/8ApMAAgEIEcQAPIVG4VYIEAXMXgtvOUnaY3edM/%20l8EZNICqEB065EAFINomTIEPVAOFeMAiSMFQLMI2mAHOCIApyQEQSAWVEAEDiAU17NflFlDliigE%20hYwitM9L68D9BEHIGBQVMJo56QAjuEEVcAG+qabRvIwXKAEeFwLpOuTqOoEXcMEwgKtUUu8b64AN%20YIENIIFUY8EG6MAfOAERKIkOO0AX2AGojMOqEIfUVY77uvJstK8so2l5BLPr3DLZ7IpxhMArzMNI%20QZw50EMwF7CatoMT/EECHG0yG8AEf0IcxIEzJHYcLHMSdAB+YjMZnIAhtMGkVRqltUEA7CY5X/+j%20I1BCLvRCL/ABafMBHbwBB0jzFgwALUKDAXDgQs9RG+EBHiTCEdyBDdT2EJlJQX+vL+CFE/vdFW8C%20CTCaDuABPOBBESDBGhxaDVRAJqzBCyzCFNhCDVDIFahANxSDURAAGpSBzQjAFBiFRxMAAUyBeRMA%20eW9FCpHMyIgFLKxXAaiFiu6AHNy3V4E3V/xzQZ9C0DTJAgS4QKmrOSnBD1QBI3yeObnB6TLCDzSA%20DkQA7EZAFGzABjACDiBbN0EAEoP1HKWDqBAHmp71wql1FMGyhtkGxFEOiQfLMBtcI+0HOqQDLGDB%20/HJHHB3AN3CYC8DREZyBBGzBJwxAAjzAHlj/AzQsg1IJ53AKZwGKQX3CGHwO4N5BQQ1c+cNsAsRA%20ASE8AjZv7Uc6QjA8ay2Uyx28gyw0AAAYhSLYQTgUQXfUgwZoACtEwSiogxWEQAhYgSB4ggzMggZE%20ASlUwCasARpUAAMMSSigxQvkiPjUABTYwoeowAgswgqoQBbUgBn40giMQCZ4ACx4gAnMkJ7zggfE%20xVXIwQUYBVdwhV+gTVR0d3qbtwCo9wL4AAMciQ8YwSJAxSKIxVcNQRkUwLCTxRYzqxmYAWGtAQmg%20wQahgX1HUAHMDzAEQQoUAAPwTK2f9xDI7g8AQw4gARJsABbkACa0Ag7swULKQT99QneeQTp0/1gy%20igdap7WJU9hy2DtzsEaLBwcrV4rrgPh++AASdBgcUccBeAOH0c4BhJ+791MGKPkzLAMKoIChHqBJ%20dkAGpieu7mcGXLFz1wDEbDkUtMEJjHN7kkEvOEI09EItyALM34Es8AAosLn9zviq5MAscEIUeEII%20eIImaEIIeIAgnBk8mIAtQMEaLINSoMAi7Mu+VMBmmUGk20ImiIK+6MuH4FImjAAs7DwS7EM4rAM9%20lIDqHB4eAIIAJACUMIBELYFaeAVXbEVW2AUpxbpRWIwAXMFREIBIgAQB6D16l9IgDEJQrEEpmRJh%20jRqtX4BYqOsOAIP8DMESXMFjOJR6UwMjRP+BDlg1EmCBuOsAKqDC53PeH3giBiSAHiRCA5zs3Rwc%20cFSON9z7iWdY++HGQAxIjB8cmtK15ajGq1RDwb+fZ9jBOIjDjvORAQQnkaPAkEiCJyzDMwyASbKB%209Vu/Bq8n1ArhI/gCyBvDoYH/oV2xAzRn1l6CAjhCL3TCMLwDod0BD6AgE3DFBuAAJszBl/lDPfgD%20PwAEO00eNGkKEcKTJzt22M3KYgvKiGRASPkIlSXLFFG3toVSIWXbi0wq1oiqYDLTlCFDNNgpB86b%20N3/lXpbzRs5cgwOITqH5ReACgyVLqBUwssPIyiEFCvh4UYEAA6kCqFZ7MWVEyhVTrlR4QVX/KoFi%20a7StOSbgStorAriGqrCGQAUG1IAYYVBgSIimSxhUgBq0KNIgO1IACIJFUQpGSKJYi6KDSScmkQZw%20kEAnnR1x/jjL5PwZtLd/o0mXNn0adWrToEf7Uz36XOxz/mTWBs158+bb//yl81ZuCghxLlywY2en%20nr9z39wpSeBqi5ZTJBZBE3Rt2bMBHdiwYfGFRQwWPcj3EGFeRAwxWhxYarMJSnz58ds8+n7jRp1c%20vS4E43PnHR7uqKUBL3SggQZGouAEGBA44SSFWQQRRAZNPLHChxAkmWOOfAQJIQtRRAnFh0WAEMUW%20W1QQZREVPHhBihE8WKGZFEVZwxhbFpkl/4occoCnHN9g8gYc324iB50G/oBAgAUWiAaUWt55xxx3%200LnSm3R8Q6cdHOwpYo8f9tAhCiRkMAIWIDyoJi0glhBgiSvWMAMuWviqBggBpEqLAEssqQCKCqag%20ZgkC7KQBFh9oGGoJKMwggpoymioDFhoUDQGWpgqgJoQynpGDES6cuEAPDvQY4wB2OGtt1dtoc+21%20WGVFjTNwYIVVNd1uqy0mf3R1NR3O5vHHhWlAyJI44vRh54ADENBCiw62cCAUUq5p4hAKJElmO/R6%20iCEGEcQ9Dz0LRLCAjRsqqSQNQ+CAo414482gju++yA+BVDrpZJgGeHAHhyMamIEJH4BIYf+cWVIQ%20RBd+1GHlHmEOusYKhDzBxApONIllhWJCCSWZEJIJEUVRRghFEFg8ECYWKbRRphkVahBlhVlAsEKG%20EGIJARcN9NFnn3DEEaeEb5ZzZ49TTkmACiqc4IEHc76Z+hxvYgMntl6zRCcm32jyQx16/IgHE3py%20AAaABfiCxYgCYFlCUR/QAIKGZBYhoKS4oLiiDKn8RoMGNAQAhAEB0CCCgTIAh9vSIZJhitCVPCkj%20mmFsoMIBDoihJNWhXXvVVdpEm5X0WVnjLdbQRX81N9VVtdUfcIqxgutkXWgEnAMg2c6VDjoggYBQ%20rJiAAgqSCSUOV7xl4YbyyBO3XBHYEOP/iS2sf8SBOEggIYNHxPji3vwiqYWPYe7gQRYcvMCDix+o%20AKCAFNJphBNBNGBHnVc4uQYX/mPhfxZWyJgwcLGIF4RiET6oSMlUoKOEpCAFmlDGBG+hgltcUBOz%204MQKJHGLZnBjF/y4xyr2MQ9xgGM4UzuAEhgACEAs4A9caIA55PENecgGh+DQodXKQZtx0IRIMana%20OLzxDXLgpB08aIdOcBABHGwgB1FQRBCe0ZRQrAEbAljEGtbAABpQA3BlkMPhiFAGGsihDESgAQPQ%20YMZF7QAIbvLBUDwwNyBQYweq+IUvMkAMYuAhHZ77jGd2havSHZJWsbsVIl+zKtJ8Jh3q/1iHOu5R%20jRT4ww5CPAc87FCKDnyhO3WQFgp0YYVrFE8NociAA8QQA2/dYDzOG9csz8W8e/UBP/gZlwW+QAwD%20+EsespCFGwohhC4kQA5DkEcJ4kEOeGBCEzJIASw0AaFFkAIIi1iBDyYUBE0IAkIpCEIQHFeGIHgi%20BAoUxMIEiItdTCMTK1jBRkLQhFdIQhSZkIQa1GCFQ1jhFSYc2jnKgQ5yHOAIREABERJgAC8IrAEC%2048ERvNCACKDjGyU4B9E0WoISeMMc5ChBBLwRgXbExBvwKEE60GETcpzjiOYI6ZWO6I6D2mADQJiC%20VLgogKKQkQiQKsACIEUNIlyAqNSgAf+kFoCgSEUqcEsICg0gAIEMfGIAEjiC0bTkD3Z4jh1C3Aw7%20GFnW0pzOkGZ9JKx0WI9wFAEcL/GGOm4RBXDAAx7xCEc46nEECbiiO99JQkPt0ARJaEsSpxjAAMTA%20gvGQqw+ypKUIWHAu8FkgP5OowyQmYQHPYvYRY2hAA+4gizsw4QFUSEACGLADctAjAlFYQRYyEQsT%20aEMUMjgAPOYQhAwJIgjAlUEQODELGfwhCAVIhg+wEAQZcAILgvDEhK6xi11kIhMjEMUUPGBPT/Sv%20fyGwQhM0QbFRNGIes/HGlZIkByKcAhCIeEAklGCAQnABD16IwAFCGgGNuoAe+NBHOdT/8Y12yMK/%205lDHb2BikyB5YxzoMAdIYzJhnBwASe4wBzp+EBUGXEAuUwhqG9WIoAtcwKjU+DA1jHoBJnghD3PB%20SxqViqA8BAMCYAgABxRgAKNlyTjiGJboNupVtZq1Vos88llbA45xhEMdUFaHrcBxBWGEQx8loIc3%203HEGT3YHfGz4Qgcg0ddlxCF5jL1BH2JpHlc+Dz205OW5PsvLL8zZsyL4Qh0QoOE7eIEJCeDAJ+Bb%20hiIY0Q8mGMEKphGEYkihGDJIBzwkFNxxDmGcsyDnOHdQADE+QwbS9YRzJ0SKF0hiGvJMRsY4QbxT%20TuAaE/jnNQ6BiVesQh8QPkc6kASP/z/8gQpyqAKw5bADOciBBkyJgEiJdA5wlCCu/ihBOCJQjnNE%20gIjwQOmED1AOcrjjJustKE4kTA6QWskGimDLoqgRFwEAQAeKYMICVEHvoQJAFXQZAoupoYMqgGKp%20BZADGGtMA1UUYgyEyAAHBoABHhhpWEL2RliVo5slMxKtF3/kI508Do+HYxzqGIcmkKDD2JTgCIhY%20bHdYzgYtIOIM9djDMqCxHTGw2Tw9iOWbdU7ZcVX2C3S+s50vO3Re6qdKNmDCBU5R1VMgwg1SKwcq%20prCIKaQAGNuQwkGi4FuE+NYTSQn7EDyxg5Wg0Qc7OOdwxykIKwhiFsb1xDMm5M/hNf9hAsMb7zWu%20wYpRvAITIBB5ONrhRBwwQhF/UMIMBnaEI9iAfTnAgYaJhLUTmlw5Lz3pkMDRjnLAw6ROjMfoixCP%20HBShFUjIwQ/KVCZgDAFBBVDFD+4ABDMAThE/+IEOQOEFRvxAFYzQgRNUYQQn6KAATADF5QCwg2Hv%20YAGbYvEYEHAKPuphAHdgKW7EoSrR6Urjh0xya8LPm7T6g4jjoA04QgAC45xjHF44BXem10qWfyEJ%20GMCAGLgDnvOIILJ0zjvezLEqa5fo7AbqzLOM7rO+4AQegAcawDkgwAGcDg/IYRw0Cgte4AWuoAiK%20oQIyIVM8oFNWwgc8YSmMQAZ2AAn/FAEL0MjTdgAFCqCKlmLUnuHSguAPdoDuWOEQJoB4iIcCsGW8%20WIEVMEEDkAAJQEAGMGEd8KEIcmADcEDb0AEeNgxLJAwd0uElfEg5dKgLweEfbCVLMGEIeGEI0AYA%20gEFBdMBHVE8KiwAYGKAaBCDZVmJu1ggL3CAucqAAuOBf3uEO/iweBtG0cuAOgA8LAOAOnOAHnIAJ%20CIYLmIARGCEyxgACFG4L9MAADgDcNqr7OiMmzK/8SCfjws+RzgomaCMdYGEWjiM2FCEBxADM1KPl%20kiAJokXM2GBcAvBbwoM82KDnzOXO9MxcFJCXFrDO9qwUeMALqAACTuETIOAT/qAB/zDqJYChK9xE%20CtZAE17ABErEB3wgGTyAHIFhA2wABw4gYAAABdCojJpiHGGhDHzgGe5xCMqgDIYAC2bhFa5BDYqH%20AtRgAvDuEJrACFkBBDABE6TpFUAgB9YB27iMHHhtvcyBv3AgCqpNJopEh4hIOZqNHdTPH0DgClSg%20GJaAEQAAFQqAMACAE9ywCCLAHgDAA5ZgB0oPB9QnEYZgbhgAAIxgDQoA+TbAC34AFNyhEEvLEAXk%20B4LgBxrgB8rADQCgEJTACdxA+ZiACQpBAggBDBxgCx6gAdzB2lzAq1ZHNFKxFBtJkcgPFW9jHiqv%20NzjDA5DAOBBqC7hDDHKxA57AO/+mZzzGI1ygpzx88VvIwwDzjM4+axLOxRgv6zHt7BF+CQ8AgQKV%20RhEiQB38YBUwKQjWIAt8wBbWYBpgwQxI0AfyAiGiQAYAIALcwR3KcgZ2AA2EjQr0EQVoYCnEyKiI%204Bd+YQF+ARpkwJQCUiALMu9WAQmLABOiAAuMAARAQAOmTDZMThysZqNwAhiGIgpw4DBywB7QYb/W%20ax7CYTTKYR2uYASGIAdSwAQqYI3MAASbYRAIoBqwgBeAAD+HAAD+UxGUAA/wAAAUhwYAgACmoAjY%205g4YURAH0QbuIEJBYRCpAQAOgAqgYF+UoBCYYBJ1wA2wgAmCgQMIoQW0YAAMwB3/pgYtQwN02lJW%20TrH8PgN2BslWQiAFjAMeIOE5usN3TgAw2QCXYskAnacHIuvNXKkAxeUYkdECOksBobSzJoEDhEAC%20qyoaE+AI2gEYMoEWeigENmERZiQLYKEaBuFuVuAiKqBauCIeeOCgDkBJqmDY0EhSLIU33evE9vQC%20ysA4rQA5iwcIC5IfjHAdcsBMprMVcMjacEg5nA1JIsBN4MEIpuAFsgALNmAKYGEDUoAU8IEdeuhF%20NCAefMAUzGAQBqEYGCAtQNAMzMBEdqAa1mAQpAA+AEAAoMASCIBXo2IKzMAIAIAGdsAd7oC0BnEQ%20C/FY09EGlGANaIAPVMENVKF9/wAAFBjBCYIhAwghDRxgAEqhAW6oRUXxRWHULW0FLjWOLWk0yYaA%20E46DCwbgBKJFCxDgDR7hErrj5irLPJqnD/71CcAFXJxHPCjLSQ+WAR1zC86gAaoAAgBBM9GhBDTg%20BUIgM4JgBELgCjjQA5qBFDyARURkDWpACmzBFEAAHWTTHRQhQP/g2IigjQChjMogOPn0xIjgGYZH%20IClA1mANBFahCDQAioAhBTagHWDi2UwOh66mHJToGxQkp9CgcHCgAK5gChAFFmzCH+JhY2fkVAeh%20Al4VCGChAkxhDYphEK4gBWwgBQqgGgSFAASgT6AAeLZHbjeBUwFgCSiRC8qAGv8W4H1UgQl0gPds%20YPm4wA5Pywm4QAdOixFAoQoK4QK4FQZQdAbewWhc9HTMNTVk9OI+Y61mQ73YDwkW4g9msQP47whK%20IQk6wLGe4AmIlDzWTGAHtgfIQEkd67Ma82APVgROYABm4AiWRGkAYQ/cgR7UQRg8IFiGIBZ8IAvM%20wAReYAQ89QoWYQS4iItsQQp4gRxG6whyU4yqABAMRwCC4nxPDAKI4cQC4MR2QBCyJSCBkAIO4RAK%20dR2gaAM2YNlQCmvOQaNk41EJqh3kQabcAQDyZAoAAAcqYBAEoBiuoBV+4xxMYBNqwBRMQQpOFQq0%20bhCmQBs2YRMyYRDMAAiKAB7/DmAH4GIK4tZPLIEEdpUqzIAANuAOgmAJuKAAoIIqzldPqoEB6MbT%20nmQY3MANvIALvOAo72AYIoEDwMAQ5nUAhOAdaih2VIWQODd13hJ14tJVRNdW0kETQMAf6kECPkEM%20xMAVpjgBFKCx0kU9uOM8mCcGYBdccLd2YwCXvmASbgB8/tjOGhCQoVRc6uABlHgBzldmjwAdQIAU%20tkk5gAEWMsEWRAEWVCCCYGERMKICGmhkTeEKcICl4EEOCAANdlAO0pcBIEB9f+ECfoF9b1YOJiQ5%20m8CWG0EfwsEcCs/zqiYddmj9sIZXCEqmzEGJDoARNKUB0AA+pkAACqAciCge/zRYhKXAmjfBVqWg%20Bsxgg00BCqpZE9hxAwahDuMCAghgeywBG5jkCqCgAN4BFPgCnQWASS6ACPQEQaRibgogGnZg3pTg%20P/MIAKogDxIgDuDgBHIxEmZIJn6FLbX4NDx3yVTHNoJFBmbBGw6gCzIgG9S4FAxAAhRgEsTsBlKX%20FpUUXAKWDBRAYNPlW3IJPO7sjwFZpmc6z54UBjBAiQvgAgBhoY6gCKrOGEJgJjDhGLTZA04zZUJg%20EWwhCyogR0oTClQgCuDBHfBAbtFgB/6gDOgZDfYUeF6ZT4mBGuQguIRwAj4gDFjBBbITS8yNSOTK%20f4dEJpaDJqiEHN4hKBuABv9ywAY24S3A1gaqxhs0wZq17pqx2RaMYRNMAYM3oRlqwBZqYA08gAF8%20AGwF4D7PGQKwgQTaACjkhABiEwAq4AKkVn0X4AJ8Sqlamwi0EhS40gnkAABk+xckQALSwHe0QA8u%20VybMz1UgOpHQtYvV1VVOSDmU4wA8IQXI4QgSoAX6YV47QP/U4wsqAQayAQZOAAbAh7I0a81ugLMc%20sA5OgLu5GwYcIL1hIADYOxsCoAXgO74DoBJaoBI460kdQAkawA3ey55R4Aj2gE03wWLHARW6YYR9%20wANyRgbM8altwRK4CApK8zttQA6c2Zx24HyPCjgvIJZdebXtWaGC65R4dgL/WCEMGkEcnM3aYgK5%2047oRysEOVjFLyOEbaIIcTooe4CYECAAHhsAMsoAATMEE5sAm4iETYkaDQSKDtyGyt6EGGnsbNmGy%20NdhR4MMM4sNwFuAU1tmz26gYTMEIzMEG1kJPvtqez3cH1ohuJEUrmeAOdAALFkAJuEARnAAAGCoB%20tqB1JaAT0cFXHCnQ00q4gVvJjBs0NoPKgsUOIkR34CADKoH/XEELkqCVYuALYCANWoDTzWUAY4AM%20cLcHpocNTqBdDMEQoBjVV33V4cBd3OVdXB0GesCzJsEBGK8QjkpmASERgoAUQqEGPMEbcoAWtKEG%20xtQghkDBGWARKqAMdCEK/8ogCxYhBw4gCuZGahmgCniaqNSXT+tZrH/BrD1BGARV1kaBOGKCJhr1%20f+PKybCmM8Bhasrhxo9oCJohzIfAHrpCRQggBdRdBkBCBbaB4EECylVgEG4BVVXgVZvBmkkWIuBj%20E4YAFKgAYjORBE7hD3pELEChFTYFzeHrxD5sjS6AKAqgENwARJGPC6iBCiDlDy4AAjiAA+rgEQaA%20LAH9V8Cv0M+KiwldrUInO78wpdQhCLpAAhyA00HJlUAdBuq7BWBA6icBGGE31K8+1J+gBWL9XdoA%20XuQF7L1e7L0eDvogBqZ0C0bLAIo3AZIBBeYmFLbBYu1hB0whCwrgTDQhL/+AwGDWYEAPoKtNwBOi%20QADkoJ0BGwB+AADOuW4hgATOGcVWjAiODQetwNxlra1PCIeGZqCG5h5IMqzAAaNs/Ici4BZsdQTC%20QQZixoNegCH8QR0y4eG1oUYI3hRUYBdEQRtUVbtGAuEZ25ttwQw2gQD6BoaXwfEtIZVfQBq2gRZw%20gByQQFjlQBGCrQuqgBryrdOYAA+i8geUbgiooAqUoAqiQalkngMeAQxu/gzQocg+Q5B63ucFfUZV%20h8o+DxwWIQEGYC8BogObGGxu9OlT51ILGGlapPkSg8WNGE/IWOzTgwzCAM7AxGmRIU7IAHHiQDAZ%20IKWDAA5aBhAj0QIMBUf/GnS5wCEBCjShoExZlClFOm87oDAI4mlICFg+gCxak6wBHjw0BIQKFYSA%20DwEVCAhw406JVwgkLlwgQUIABBoXlhAhgkJOkD9WKNidcK2Ji73nzoE7Jy5wYMDhNKyy488fuHKM%20v32LoC6FlBpSYI3LZKwGZRmJwUnetK2ZilvNtpkSnanYiCzSimUapEIU6U2moNSAYsqMGUuWyJK1%20lIxAlhWmqsUjpwOJDjQEeBOh4sQGF1CMFP1IxMWGjR2q8Hhx08CLqrdnHYBxkKBLunLiEv/zF9j9%20v/n069u/jz9//c7+5vfXDyB+5JDjTYGJtTcPO+zYAY8dQ1jiDCFpnEBQ/w8W3PBEBxUpYNETLPRA%20ESUK5KIAC2TEIEYSHaiYRBJbaKHiipQkAeOLA2gxwABb3CjGF19YYMEJCJhzRCQZQHCKAxC00QYa%20yVgSRAng/BGKk8mcEgqSi6BhiQRnnDFDKWSRAEgCgAByigBDHNCAEwSQAMEFxJh1AQMXoIEGIGWg%20MMQQQciAil0U4DJBGPrM015i/rCTGDnokFNOK8CAQM8531hqjjzmvIPKBi9I0Uw34xjRjC1SSCHK%20HAr+s8I2ptmiggqagbbNICOsMUIFWdgyQiY1yGrLrMZIYVsNBJzyiQNwYGOMbMpsowIA6PDARBAC%20cLWGJUTQ4YYX2vGSxf+tx7xAzQ5MVPFDECCgAsACCZAQAAQZbPGAF46lw+ii/hQYYL/+2qfof//9%20G2A5BKYDTqL+zOOPHQc0WAQJA2TwUkQS1QEDGGA0BEMAk0xyQ8iXUJILGTd8MckXLa18wsourZRS%20SiJlAJLGlfxoAQuPIOAFDhIQAjQcp3BwJg2h/NHXH2lCcBXTobwZygDLJJDAJ2NCgDUE1w7RQDo6%20qEVCBhdorfUFRJSRzDIoPPNMCligMgEFklCglwuNtKcgo+zMMyA68aDCCSZ+uFBOCd+YsykwKSCx%20TTdSeFCOFN00Y0wzgujLiRSV26KNKducakoNqfFKQCZZrFHDC6ZKYUv/aVJsYps2ylhCQhwOxIEN%20FMYYs00Nm7xggztDbOIVDQRUQEQeXszgxhLVTBHKCioUQ40sSnChyCKfv44eIRecp4cB9+q9qDcD%20E4w+fvz5lz6ABgacjj/p1JMOOngckIgvGRiiBUEmotgHGFSiY2moxA1YwAIx9IFkChCIRE6QBji0%20AQ4UJAQFJYjBCWpQghuEgY++cAMtCKEBR0hABnzhjDic4AQBGMAnPvEH80FjEVirnUiwho04uGKH%20t3MGWjJwwjigJRkHSEci3hS2JGLtFMs4xSlQsDZo/EEQs7CCGiRxDVZgIhzzMJ83hgIOb4jDGxHw%20AxKQ0Ip4lMMd8iiH/zkMtoErHGARUNjEGtQRBCmoQBtSyIQfAlOCT4kiVrb4HGVscYsrvEAFZljD%20Gq4wgk3copCZ2YQxNiGF0LUOG7SDACCwwazPqWAEUgDGHXagmkQuQgCq2IEOnMCVQfxkBcegBjB4%20sB0GmECRU6gACfTggEcAMQFKcIc3zpGvA3mjfczcj6LY18z7yA8cifGLYuR3AKokQg6EcIUDtNAj%20NojzBgxpSAEn0QcyDIQMuUBAydR5g0oYgklMgoMvLjhBDF6Qgvf0hSHAIAY2+AgGTziDVBCBQme0%200BU4cqEi0OGNZ4TCJHE4RUmQdJI4ZKMkG82oEIVYATTA4wA/eFMG0P+C0pRCYBksZZsggnCIa1Dg%20EE3gBCdYEYFxDMVAY8THBloRAXK0wxyOIoc50NGOJeQgCqzbhA/msALZhCoE+hCHC0CgDKn2zhRc%20hZYKMhGKF9wiC9VYhBmkYIYVlMZVZjVVHWEHhTZggwTYsMWwtnEL4gwiHrIIgRluoYIr0AAIXKCG%20KggwCAJMYQVZmEI1YKGKrxFgES94ngDKtIVHOIAQAchDUM0XMPNFs5nre89o7WPVRLEjHay1w5es%20loCJZYChdfgCC74gznF+DAaTYEEfRNCHDWlEIhIZIAyOewIYJHeFyj3BF05QhzqIQQxPkG4dJiEC%20FnzsERLgAw+4cAr//RkiG+L8wnRdUQpHQYOJy9ihK1jaxB1+oiSf4MALXfHCkpCAiPZAwZv0Rwj9%20pRQtvkDpKUoxRUFYQxFY+IMidKAIJfxgBg0ITzxAoAF9mM+N3kAHRBEjg2nYYVewskcKTKGNW4hi%20BOvwBjgiEAsVSGN7rjLNafp4hUzkxgfVOCusJmMKKQAhB5vApCWhUEdbVOCtl2zGC6QhDSNcGMWc%20qwYNAIAFOTDAElmwhCiycAwjUOMFxpvCC8Y1BRqU4RQn0MJKCJEAOhwAMAELzGnbFzBo3vkfglHU%20AfKxzTKU6RMDKMVmHeBc3ProtjcQZwx68CGMpPMJTwgupHvAhuBS/1cMl9j0E6YLalBPog5aeAR0%20UTYJC0xiZ7XwAiPk5YwW9MhHbNACenkQhTII4L7ybaJF6XtRjpZEiL4goh1mgdITRkjAQvThSSsK%20jbU9YwjPKAAWsMAEJWhbBzpQQg50wIp7uCAxHj5AOQ5QxFZsIwqsIJZTcbCC3f1VEwQCRw5GIKtT%20uQqTprlFDdYwiNcVuRjVCB1pMgmtKKzAFkeGnS12swZjQOFUmSDVC6agA3XAYhqyeuQSmEAFGlSg%20Al7OhAeAwYtNFIAAAJ/GCkYggB18goefIAQEqkAOOitKHOfYM/pKe77TCgYcCYKHLv6ACBQkABEJ%20kIAEEGEJB0iAEv9bGGBylQuDC0EERBmxiEZ68FsRZJcFIsCZBb4gAiCpfe0WKDvbZfIIYozQC1Ug%20gTNckQ3nsgEGAj1BJHAJDaxptB8lMWEKnXF4ICo+A844KQnKcAR07AGJSTxh5WsHRLQI0TckOAUE%20EuAuKjwAEQugQhXA8w53uIMH7ngHDxrgjgoTgAE2CEWRN1EELNx+E2aAh/zYYYJCSuFzrvLc58zA%20exVso3VSqEYKimGK1KigGZO8wiIGcRvQUL8ZoqjA7fHqga9i5QD2WMQSXmBHBgiAAGg4BSdVMJxB%20mKIYSxDAGoqhmmJUYCvJKjUJCHEKB/AN46YvduZz/5JnpuVzLhD/GPMADnbQWgdwBF9iAAYwAAlw%20AW0QAHoABi3wadMVMieDMgYBdl7XBzcgdml3W0BCdqoGJDdwIS4og0BidkDyCJRAYTOgCBS0EF9w%20XBbABmJwAhjAA+8AAFjzCdmAd5+QAMOmUSUBRE5YO6GwX/SjBLQTB74gYL4gRCExbFZTX2qDCIjw%20Bw/QBYVQgYUgBELgBmfgBW94BzPgBXfABU5ghzNwB3JgClWgA8i3CYtwABVwKkUGBF+UDvbAcMOn%20b/pmGs3Ae6aCSaYwAi+wC8VAChxXA8VQAytgBFNgBpdEGTWwDaIwBWswcZswCBqQCaJAA2hQBOkQ%20AiPgA7AwCEax/36AQADYIAqLoFY1YARDYFaDMAgrYAa1iA0psQXzRQgkwAUDSD48d4AIeE16dmeK%20MR/goA/j4BeWwhgeJg93UAs5QA3Y4EunkAA5wQEcoAd6QAkw0iItMiNPcAOXcAMgc3YxcTKq9jEi%208DH1+DEgowXmhXYXMgknsAWlUAoSAAEt4ArP9VwM1QGusAWQUIRUIHgbRQKfsAwQMHMauQzzJURp%20kiaLkCZywCZ4gCYJ8AArWQpd0AUVWIFvYABv8AZrKJMwiQAGgAA7mQs9GQkK4HRORwWkR4Z/sAN/%208Ad5UAVdQAUYKACQUAXZUmRXAA/eUA7gUA3Dtz2KqJWTUQPGEP9kruKVKvACzcB9opBWi+AJK1AD%20ZmAq3PA5WRAKIwAF3RB9GkBHApAMyXAEdsAAm8AAAFAAV0AEf6AWUJAFi0B9g+ABQRALxdAMgyAN%20t1ABa0A8SGI7GQAHiCAP58BaCsKA0egvCRh0o6Uv2DgO2mgp31AO8qB67yAL7/AOXDAFEEAEVJOB%20NhcvmXUCmhV3WqAFHeB1ZIBpbIBAx3mcPcB1MfBozGkRwikQP0JqW5AAepAAOyKEzbVCWpCMkbB6%20VAAnGaCE5ogIOTIA0ICQ6bkHiQAJZ5AIZ4AHNnAEbMIFBtAFQjADZzCBdCAENKmTOxkJGPAATjcj%20BToylEAMlED/CewoAcGAAcEQCZHQBWMACYrwB1QAAFWAdAvAoUNJBVSAAjsgAECAA+hQDv4AAjWw%20VqeiiFvpO9uwCZSRSazzLKAiDZkwSiagOrwXo7tQA8pgDAQgCrzXDWaAA+hXAWkiCEewB25ZAQWg%20Cj+AB2qBDYsgCqIwCE5mBGU1AsUAcK+xCdjAAHoQB/N1Up2JL6ApDqLZL0B3gF4EDn7wF3tBp3Ta%20F/GDDlFQBHuABFgQBUEAD+jQAPIJn4UwBoqwlH+wAIjwCwnwC3qQjprFAQ7AAY+QjpCajpOajmcy%20NBCgqZuqE1Qzhkv3AH/QBZCAlNawB3hgDtm0JyiwB/N5BDhw/wT1MJ/w0A7gkA52wKu8ClFHNahK%20QHoLkAd5EAwDGpTsqKAKqgdJ0KzsqKzLKq0KoKBPhwJEgAZAkAw+4AGk4AMh0Cdy8AeQkG1OkB1H%20cAfocFTpsA7TwDoyOnygEWSeUwPasDrEl0m20DqxMgKA1VgBpwKwcQvGAH+kOAKDYAYjoAFAYAxr%204AOhAARRcABDMH/DCAsFIACLUAFAUAMqdgu34AFLMAX6Nwi4kgVmsA1AAA3nWBLYYAPoYAcK4g+A%20waYBQpoHOBTpMA7qUAIu0LN78Q0927PjcJVpii+7Wj9dAykeFnuxxyZHQAcyiQCRUAoIgAEYoABX%20q7VWiwHutP+TMFmTNsmfdDADcviGb9gAbEJCB1AP+umr6HAEqNoFR1ATFTaBR4AHOZADqIAFQYAC%20ZVAAS7AEQEALDAAEdkIDv0AEv7AAEvCovxCUwRCt0kq50uqslECgEhAJkAAJiWANupAPc1APjdCr%206LZ6DcB67mAOqksg6nAFk1FjW2kaMNoMbXl7r6OItrALoHILACcKa5AJKzANADcCw2JJDYt/tzAC%20ReADRbYGaJAFQbAH7XB9IysAhssAaLAGgzSMtvACHrAIWTAIxSCMa3ALKscFCRAAn0BXTIAOrLUo%20Bliz+eGmPudi3kAP4dAO+hAOjbGabmQPRYADcyC682AH5cD/KNSkGOPAF30hRoHhDe+wuqrXq7tq%20Bw+4qzALDhtcDiZaP+5wACB8lYlRII5xKefws+dgB0VACzJQBPZgDzkQBGVgBBfLC7TgPNVQDQJw%20cS9wBQzAAIILC7BgBEYAAENQAENwZU5QBVzgLRvABT/wA1zABYUgxVJMxVSsHVusHfEpn3W7Rq9J%20IMckGJaiKar3mqnnDt+Qq61ASpakAryziK4yfbKCfTE6iLxrBqGzBgG7BtqASVPQr7VoSfnqw+Kb%20A0BALGuwCIdbBEWQAytQAVdwBceja7ZAAEJaDCuwCLzgiZV5sCMwAs0ABA0QeO+CDYhwBC6WKPML%20IDdrv2Gk/w+MUThS4hcdxhj2sAegWwT54Mv1oBjUtMH/ALR9cQ4OyHPk8A7o8A6febSrtVqsFT/O%20zFro4A7WDFGM4hcEQg4n7AJh0Jk4wMO7kLHVAMRowADVYAI4DAu8AAxYhgk58FPxsAE4EAERYA4l%20IAslwAhAQAU+8AeqsABOwAeql7ZoHHsVxgOsl7ohDHshDMLlhg7oxsyrhzjG3LOXYlSygAM2cAeg%20UAQbwAggEAHeEAKgUgP6SkirM0nNUAwvYAaaoaIqABqbID22EAs9FitZStMmoBp9LHGUsQYwXbI5%20cNKwIwpOEgV4UARBAHBTMAVbsX6h0FgrsAIeUA0IW5mDUP8BorALjYUHfwBnZEEEeOBipeXK0jSN%20Crhn61EO/QsOtlwOJuwYBtM39EAPfkAPLuAYJVACGF0CHfxF7bHBuvpF8GHMiX0OBeJi5VAgbvQO%20XlALtcAD8tCz7ZEO30AOf20H83AOhOMPR0ADqjEEjMALSzDEZQAAiGPNiPMN8mDN5CAPjuENjmLN%2017wBsAAASFAAQEADRGAD7zAgtu1hwz3crYfGymzcw92aft0OERAP6rABGgACSJACQRACHuAUi3AF%20VlHJBIcEfQEMynALytAMu7ALokDewUJ9V3ALvjIIomAKm0DTRdZI23AFCqcbgxCjxWECg5AFBIB8%20ntMMvST/CraABLzQVJvwNCgwC4nwDAywrSiQDHqJBsM4stMQvAQABWbQFRqeCRWQDEAgAB4uAOZY%20CnPGgIuS1urzTGx9Z48dDoH91ybs13XN3Oiwmo7B14nN17X9RQmCKIytKIq92Me02Ofg2N7QDndw%20B1RADdQACpZtVYsxIIajph2WDkcAC5jgDhEAC9TAC7xAAzrwKMXdzd9Q3Dte24IKDxFgAz8gqAww%20BQJAA66UAziQtuh2AObQDn9+zxFwBzhwBzYQD4e+AYn+AxqACSDgByXQCucnyVk63yy6e3bUFSuw%20BBrgDX69D9ygDLtA3h+rAq2jr7WrDTHtK2Y5K58jjEsA/w+deAXTUIrF6AFeOnI1YJe9swZKFgVG%200A0qUEdrcAqicArWIAgVHgpWQQJZgAYCkAVZMA2hcAwewACVPHLCmyty6YliSgUDgAg40Bet3OIA%20s9alae4JqIACgyjrYFMasA4M/Bd+/dl9MYCOYSmGE7T0fqdexNj/3hmI4gL2ju/mU9i1LQugsAN0%20EAgNnwrusCjz4BgHsy/7MhSO/Q1FsLo5YASMIJgyAAKOzRgR8NzSvVTWbd2/CAvOcwVL4EYaAMj6%20dgsvTQse4AGwEALcOrgmoKOLAMRAgM5AH8QMMFhL8APkkAMtCqOm8HBmECsqYL5rUAHFMAUkqq4Q%20VQ64wf/0bolIsaINv+L0+joCtsD0KioFvTsEBDAEfdqn74wEIBAEwLAENWAKCFtklGEGPp0DvDB/%20kbQCPlABtrAEiuAJdf5wJlDn127VKzAFUjDJXJEFxZAFpjMFOHwFn1cK5SkEB9CZ8EHk8nEgAYPu%20ePbio08foh90wrzB7cEKJjANL/ACsRALKSCnKPzXfH3jNj7bio0wEMXYHgxa88Awn23CbfQNCmzl%20CX96DR8IqWAOe8MOm00g7+sPb20P8dAKOYAJSAAMUYAK7rAB107z1XAF1eDDmzwID1cD5UtwwKAD%20RiAD8eAN5pCVr0Nj3bCVli5wxJLJAHGFwBUBDAoyYLD/ZMmPb/HMvPBgYsWgEYMsUhyRccSKK0vu%20uDuAjpw3dFM22dokZdO2Gs3M2FKmwoyKW7ZUoFzzYo2tGiquZNoBAAsWJgBSMIpAjly7CBsKmNm2%20clusctWQAJPSrJipFENCbaqg6ECOK6Y2CRCw5IqPnyOmmVlzBQgBAsUyZSqWRdsIBhD8xknQ5Qi5%20Ei78efPmT7G/f//8iVu8uPFkypUtV1YMjrHjy5QjK268Gdw/zZzXmXjxopoHDePOjSsB7ty5wt9c%202P72bXa5cucgPxbnApyL3t6+IS7uDVw6dunIzT5XDhw7f3bMkfsmi4+jQN1TvXMXbhavJS9CZcpy%20a021/xBGjMCSOwhIPHIppJiSkl//flu2BjW74ooCgGknnhQ2GKkVIEypIb+UpNgmvwijys8UszbZ%20JBMBCBKABoQ8pGGJHSJAx5xyPBgiBbaKGWENjUbIBMZMroDFHG/aMQcd3rwxYhue7tMvQgibaUYF%20I1WQooZBFsnCDCikMEOAFxgAwgf3BqlhimqqgQWAKBjYpJmUjPAmhBRyKOCKYgbBYg8fLNlkChKj%20EAALYHCgoYIpgFghk1BGgMKHHaYYJIssMpGmGG1UYIAASyAIYIstZnAnHcUSC+0zyUDrrNPLIgvN%20U8c+y5Q0Ux0DR4NYYvEglmo4KcGb3sqhRx/aSsD1m/8S6DknN9nAASc4cYYVZzZvYkXMuHISa65X%203fyhTjFyypFHFie4866WKLbazxhRgPDACEzQIQkeTFDZIJ0iTFJpG3fzq0EbW/ZTYQoPXlgClrRA%20AEEGAoR8UEKBJdzExSmmyIJDhBAiggEaaMAiqXbIOUAGWIzwYIoYs8DoxRGWwIEcG5ci1xsNTGnG%20LP1MeXdlm26poQZTZlxEBZnXqKCCNQlYgdBiplghrxVeQKnBalSMIp4NchjCvSIAIMWgINxBBx5y%204NGBoAoW8eBQAsxAwwgC1sgC6D5H2EQOOU6BIAMHtjiD6nkkG1VTxjgVNe/MNtusU1A9Y2zuusfR%20RQb/JlmEpZVzwFn2nEYKmw1X3jSbRx1MNBhlHhdcGHaeuecJTvPNXbAj2sc2D27zc1woQZ5qU4Gd%20DxmehBDCbYxRDRYfgDFxpCjAUacIE5qRUEgIYzbFmG2acSuTaWqSohtbbhkBP+Ov308lU3yaIsBF%20EAKCyoeXEHQDd6ZF5zgkLs5YI1Hehz+jK5DAJIJYwVHOG3UyUeHd5flnmX5aUiQGNWgTK1jEIDZh%20ijUMwmFAqEYWjgYLD/jABzRIARCMYQtjqGAExfCSXBRSJSP4IAfoiEc70IGOAxTBIAKpABAWUYEs%20VGANPhBAA8t2jGIUAwqewMMOIACDDGhBCw0gB3WI/6WpxHijbnmD4t/61pm/NQZYmrnb3MABj3EA%20KxycMNwKTCCDVpQjHL7xxmwgU47YnMMf4GBFCO7CDFxcIwRWwAQ/uqgPfWyuj+wA5NyINbrRyaN1%2076hFIqlBIZXUTgqZWMSGAFAEMKYAFVGARSYi1KAgtcwYNSjGCkJxi1CYwATTqMG7rGc7gTXjFtIY%20xC1kOYJqXGERV3iBACAIBPJd0AcFsIFISkSSCHijFT4IARDa4jEYwegYLDFDMVZjpmOZQBsVksIt%20VsDJ/EzvJiOIWcryAwUgCAAKm5BPMXTJwBFkoYH9GcQaarCJGhhDCrZIARagoIJB6IkAIdiBPcqB%20jv8ISCwKOtgBXQxFCiCMoAKmCMIQCFCBFaxgF8dYQQVEcYBCdKEDaTDiDNAhSLs18W54g6Lf3sg3%20UVVxMv64RzjCMY7QjCMcc4CHcmbaihQYIRbHMAEsUnC5dUQgWOXYmz9GwYlrLCITyrDF+26BCysc%204hrXmEBWDzGBJnzgA2HwaljBGtZ72KEE35ABhIxhz03I60imMEMFVFOBlAxPSCyZkCNdOY1prEAZ%20zZhGLO6CJVYKyZ6s1IYoQllRW6bmCiZgQDWAAAQTgMskUJiClZBQhBzA4xvj8MYG8gWEF8DPtC9C%20FPG0kYlbmGIF4QCHJoyXpGZEKIAoi5koiGQLs1j/CArVYMAaOjQID6whTFBAGXp2spN61mBeKQDA%20JsyAoXEeYwkm+KkH0lGOeMxCBzQQwMEIgEMnAaEAPJvCB9spik1E4QdjwEAAWlCHUhxgWI/Bb90Q%20czfIpLSldJvip+hmxX+ogxPA8AQnYAsZmaojHNLBH2/0sQFMpMAD0ziGajwggxSAABMg4IQnYjGN%20RYRABqSYxl3UIAo1XKOqFGCGJCgwYwpw9QNbzWqOJ3CIRszDG7Oo5wajahe8HGoNUqARA4i3DQ8s%202XaHldAtpkGK0kJoBIv4qxmIV7sJreR4tR2SCpoxvUwgcEomWEKILFiB2WLIDEOjRQi8EY8lROQF%20/xmB3y5EoeddVGQQLLvFFI6hjUGs4x8gaEZLJsSSldF2zEQ6iZiQuwnJMmARBfABFAZhi5loYw0H%20s8UazPBJY4x5B0gItZOmmx+8RE8bKUjHj42QplD0cxGkuAJdLb0Inq1AGugxRhls0AUHPGK+D/AC%20cCDT30sd5qQB9i9mVhoqT7nUDuJglSA4oQlN1GNuipkHOGRq08cAKzqyCsc6csAJn8biBSmOkZ5V%20kAVSeMIHkhBFFtSwCzXg4hCHoHHAKeBVHXc1DMRBxSA2KIoPTqEYNOxTz7JQYh9QyK7bSN6ElLeN%20XVBZGYfdxTbL7Lz+uYslojiSkXjCkgYZlp9rIP9bKKrhA01UIyrG6GdFbmEGLZtCGuU4AC98UJ4Y%207XkEDH+RXbYyiLvALAXg0AVrbxLAIBHPFok2UksY1AyOTKECDLigDUJAw5twelFTWMMtsi6FLckg%20Ci+pQJFk1gxtvEAZyyuGOg6TQ4GsodZpycImXuADE/Ds4TEaRChsMIZgEKMFJ+iAAUaSGDc+xqT7%20VYw4oq1STkFb2igVhwZewDVNCMIKMuDEOvRhhy6OBlga0MA+/BEbxTTuVzpVhy5yAIJZhBiZnhDE%20LCQxfDUUv8Yf0PG/DxFWr4bB+eIAwV83IYoVGKouG7mLoZYUAh94ORa2MLmQVJCJXRTpFnlNUg3/%20drEqKqNczD0RhTREkYndKqMG9ifSWh0UsPs08D6b3h71sggYaQV0AIYlWIQUOxSpkqWUKwZRqIFb%20KJJMMAMP8Ad1WIQGFAUuk4pSS7T3kRczqIEVmDkrwYIr0IEiKBS0s4VF2bmcqAYIhBkxgoUNIACb%20WAMGKoaf4qFu6AYpMAHN0AEoIACv6ycNAYI1gIKOAIJBYJGzsQUdEII3yIUAmAQOKIV2OIfEeKNg%20eSOTyjzP27xRKQ3OqLYBIw1+aJUNC4EQEIY3FAZtu5x7eKMUmIbVeIV10ADY8gdLsZTMwCJ2gIzp%20sINRaAR2sAN+0IVRGIV1aIV1OLiD2xzno8TR/5kNP9gKlsiCiuqhhyMyGBGFRfAED3gXWJgX/VCB%20F2CGariFbuEGVnoBUhgx3TISLYsR6hmBRIsZnni0lYMQ/hMg6ImQMDmSEVABTkgHJDDGqxMzFYgJ%20IpEXbbiFRRiB6ekJIwkFf5gHD1ABlNu5VHIQCJkX9YPAlpCCwbsCBsgBJBCADVCEKTAFh9qJZhA1%20F7mCahygW9CEHFiCeBqEe7IFYKCFaSiGrOiGGpgFfzAHWDADuugnAsgEIJgCbVhCDxibi2iRRaiC%20PCACDngEB1AASjmAWBsH/FqMP3QMzRtDy5Ci/0IpcfMATSCFmNSENmxDWOA2TZABGQAxYQgB1f84%20hvGLRRnQAH1YFsf4Q230QsagDixSNnEAndQhpGFRneighW4wBW34mbzQmR7yGFGIhVEUElJQhuiR%20MjRjRXjBHpaohhHjH23YIGWgnkH4tf9Ynp7oiZpohg1qGZVICXqiCZvRBiKhx11IOxWQAXTQgJfo%20D5oQBbWTpVsQBabjn51rTBVYATqUAZuYv38MmHBiravbRRXQBncqAHtAgh0ogiAoAAHwgbmAqk1Q%20gZ2giCIhEimABX70AJ4zA5UwAQ/IMHDihhp4AXUgByygAR/4mrpwOAaABRmokmrop0FgOPayBAH4%20hQAIgCTYgjxAou0qAgjTlH8YlpVkyWkzQ87/C7BGAAErCIFV8QAPsKOcDIGabMP4FIbTEwRNaJVp%202IUOkjJasAIQcLBwaCPZEIc0SpaSEQlvSAdw0AdhwR92cFB48IdxkAFuSDT0KLO6vAiLeB8VMIFR%20fBBSIJ5biAVNEKyW6yQpeEUpwJ2foJ5M4AmeCzWLcC6ZWYmsI5JUMoaVeJCU8CYPkkyKYLhYMkZa%20GAccWAHqicwGTLm0c65yjEA/0QB20ACUm5EVOCwoKwZOuJ0waQaUswVcwgIbiIIGwDQAKIAgGJQ1%20eYnEu4JuXAERNANYQIIr8DpPrIAyzYQXuIJ5EsEoMIcfAAAAyJMKsAiKWgIbwIIyAII1YbqK/6gG%20Afi6tgkALUgCBHCHBmiAFNC7+/oMNzLPz2OpM0SpeXAMVkiBa/AAXIjPVrGjNtQETgAB04OFEMhV%20NxSEnQyB+HyBTLAnbhCFwNIEYMCEy3GwxSkOciCXWMs8cfDCkfQGdhgHI4gZbtiFoqOe+IsltVO5%20ZlgE/tQPD2gQFeirU0ySgdkGDyLN+avTGEmZq+O0WxDS/8CPAsq6T4oZtmoJcPVGYzw6aZAlFqmG%20cUgHUxzYbiVYyLyFTGgQ+OOJoUkBdqgH/uEaEygG5hLBGsiEKVAJ4mkJMbuFIbCHKACAH6ABhCqA%20Nl2CrzknKIjZmJGZTAgCfnyBInyBuYC7nv+ZCCwxgqVoGiCwIX8aBAIAAtZkgCvAmWYKAlBggAu4%20APk6AUpIADfAA9bUh2D5tlEtVcApQzF8KTRcDDuYBw0IAROQhN8khbZ121kAAV3gBw0QBFbYtvqs%20T5/0BBkQBhngT4glwRSTBrc4hlh4zhR4BX7RgHiIBxzAAXWYA3WABw1QBwpLARMYICOxCApswJjQ%20BhuVGRNQUf2IBb0Ex/3wnz9dAVeSwFXxIIi112EsBloYAlTIAUyIAkxYgmJwF6hYnh5dIGk0Elna%20BVmSP+qsiBgpTnbgBFN4pRGApV2wCPWg3k0SsyKBEQ9AWFwohpk0gVCgrDWgQJsRQTFxWLP/WIIU%20uFmHIQcA4KUdaFmihYJPk1mU8MsrGAJYoAYjoAYGiKvpJAAnpKEK8AF3cIcdoIEyYAAoUFQaciAf%20YABqeIGHDJpq2AD+vQAOCIATuIE6KAQlQAMs8AaqjIxkOYevHdvOc8kpMh12mAd2WIf9lMVYMIGZ%20rCATYwUNAIF7sAL55Da8tck2jMMUAIYhuM9gLYZd2AVl4IZN+qvlQZmUca6ocBcLSRnsdcGWgKoe%20pdkaAAJNAALb8YCPaxkWVZ4IfJ5tULtmUAYPCIFmQDubuQUC4AUNiIADUJoN2IB4uIMSIId4MIIX%20uKZwgsaZoInIPJI9M9JMYDoQmId1GN5X/5pecF0DI6kdaYQJI1mBUfAHTXgBVkHAF0ivSm6ue1Ie%20/km06SpTGiAABogAGxiEDtkBHxgCNIChG1RC/cAQKAAGHnhlAWjlIlzaKSjCtUiKHTAvYG7CVk5H%20EAHOXosRVJi1joQBDhaDC0CDApiWYPmNZpsNFM6UsF3JxeBCxUiHeYiC0vpTElsEU5rJvf1VUrAj%20N65J++S+WKVVT+hbGfAE+/QAt72CQXiBFTCuBaKu/nAuZpTLmqCJq+Nimt0E0SWFXWyy4kmST9oG%20hrvG85ulMnsBFSgGMzCFYgAGxuWsHGgFPs5jPW6HdtgAYBiBqGCQ/nDo+5PAF9DYYjDeD/+KEU5w%20UGOUCaDmuSNRO0eiCfMThSjwB+FZgplchDuzCBU4p3tSCZsYs3CyBfIJEBuIgCUogA+hhgIAAGDe%20EFFTAQxhkLOYAUZggAIwAvBCWmXSUxP6CCZAiD+gBiKgCw4pAx9AAw8RiGpYAQK4tAtgAA64AAdI%20AkogAipoAHKJSm1MlsNQSRRuyVLFG38oh1m4lyzwRnidhtFjv3++BnmWZ2Sa1Tbs55qMT5u05/v0%20gCuIbeP6UVOAAudiTC02PzHDq750EFJ4z/6Qgu+zEAiJ4m1YAWZA5RRjnm4E6hEAWVjAgaXZgJY2%20YKUgh3f4BnnAkTvwgwKphv4rBgyhWeL/eS0HWwdNaAbkvQVtGALGCdRE6w8bnVOZWVd38dgisQlO%20sINwqCBSaEtRplGppqdGmr5yzL9iWIRiWIIccIdDxYKvBoIFKAAPAeZ4sgXaQS5ToAYbAIIdgF+E%20QNpKfYECCAEd4IE7oIEdoAMvcAMqMAgCQItFiKTwuSXC1qW+gIBfcABioIQHoAOQsJTf+If9Uo7K%20/tq9oTZw/gc7KAcLc+NfNQGnqj7+cQucxi5Z/OdYaNt5xtvW7ucgtslWEWUTgNiAYRDlcSTbsZDZ%20yp4GSVETkJDSxe+/igkFTzF0XQEjMT9byEUnBIFyoJ+kMIcc+YZCL3R5QHRziACm6OoD/xoBY+jY%20/FgBdSgNf5ABRtuGERBdeDiHIQhtBuCrKwAqWKhi9BvTbiQST1gOMPIAyjIBNamAEUiSv8yC/rDN%209AOlKYgsAICFIWCEHejftqaGNMsTM5CXRQACIwgCJvgBHtiBt0bBHNABAACGaigALMiBOyAHUNgB%20KqkCNyiAC6CBAkCDJSgDBaYStBCIVh53AtjxB9CDP2iAkQQ3z+nDZAkWJr/szYO2w/AGCwMCLqeg%20X/3VEeuTmtCm0cOFGqYFWbRhVnHjWI3yICbzifjF7OkW1GWlTrqdJCGFIYgFIeFGIsHK3frT9xmB%20msiIHrXqalAaAhkmpTh0c/gGkaH5Rf/HEW+QATOYhqwYV1gQBE7OjHGwOSngdJssJkzASU1Ygi2J%20BR/YMpNDkqzIZJjxgHKwg530gfg0JR9gRZ770UNJCeXZS5owiymghWU3gvApgCEAgB0QgAIog2iP%20Y1toBXhohwMAhRz4AUb4AR0ABhsAhQ34gQhAoggoAh0wB3ewgbxmADSghiGg+yEYAkWIeyJYcbrH%20IVlegF9IAD3ggDGYgQZ40MzTjMkuT3BW8vSMtn/X7CBYlacOBa7p+lj1ARp+N1HQhpbYCJxeFfik%20YQ+gIIqPT1igoGpIQCRpmSa2nfAjmFQyOduhp3AiBU1YBJIvBpt50ROtAYaTzPb2oN3/2obiROmR%20MYd2KAdzKAEcKYebb4ebL/RDL4eWJoc3ZhkZCJZfGQ2A+HevhhQpr8KFA5EiArhwRkLEghXrBa1Y%20x7YVLFjMVCZpmYyYKNbMQzh/HkwAWVRNgIlqi2rYyjTolo8Xt0aIgnlrxZpNpmoUYyDgigAGQGgU%20ACWAWoECDKasUWEmBJYc8SK4w3En3oatoHJsiGeuHY8IoMzdOUINSAFVBXY4ZXCFhhwARGj8UYSF%20yhAjSGkAkHOhQJkdVTWoCwduHLxy3sD58yfuH+XKli9jthw5MmV/mT+DrpyuXIpqpGB5WGFL1IpQ%20sTz4gOgBtYeTizqasaVixIorL6rF/woefMlwUrUnvsikokYNbtuMbdtWIzpG6qakM6+xadv26Mau%20m/Ig44WU6It2ZWcupUamaaKij5gmvVkzbTVM+EHSipy3eI7NmVMOgOXI8w053wBYgjnymEOOg+20%20U40UphQTAmSRQQYOCFJ0U0M43vgDTjn4lBNBCLMt4cFvxUyxhE28aBACJ+1okII3CSGxTjrhmLDI%20IlcMMs0VWWRiii1m1LDGCy+IQoomi5ASCykuTTOIGSv4YAQQQCzBwA536OCDAKCkUEwF2gwCREtL%20GHFHBO+Q4w5Z7cQDSp1YvfPOBj8g8cMQVDgRRAFI7UDDFXKgIQARRDBQwB8AQArpH/9DVEGFHGX4%20AAQpIWgCQg5RqJMOiP64EJqpmoXo2T+qntqqN+mAEEs1JsBy4goq7FaDCr9JmSJsIQCLmglXjKBC%20MzeNUIyQQv42KxCxmDDNCM3UYIx65TXjXHPNmLLbcsxRWy110UmhAmorHDuVCSNEN10N2ogyDX3N%20ZIIumipsswQ8qLRjYAkO0uPNN98IjKCC9ADIYDsKltBOgOpMMZ0UtqzTCIggVnOdFMBENk456oDj%20TQ4maBKPDJp400oK/pSTw38BOxYyiJBxMuuPV0zxQgFmSLFJQbo2k1EmmgyBGnFAaLOGB0Es4QMs%20QMCiwxBNf/PDFMpJ84IRG/R7IDn//5Lj8DfvmIOVLGHByYMRO+igA6RsR6BKBQLQTUQeaBAwRVFs%20cgIAEjJEgUTgsyAhiAchCIIEDqP6M0+rp26mKquPo8rZPyGnUyNqm5uQSSYj3CLK57xdEYpptdXm%20tNPJ2VKfLTUcO4goI9S7ZL2f3/JtcxiVl9EtVWaH3XXbQSfFCiH0WMwItpjwwrTM/VTDdSqIcmxI%20upoywgZWGfy1gQMPfGA5DTOooDkMtxP2ON5wIj21IawaYji3VLeIOkgAIwMwmJQDTivtlIMe5fCY%20PhzjDW+U4IAHNOAASzCL34SiGC9gwCKWoImf8Kxcu9iGKcpjjN5MYxEo8YAttmGG/2oAoRqGIsAS%20GBEELLijCMQagRkGkYIGlYMc5vhGCRhEDnmQ4x3t0EE73LEBO/1gAwAoQwFs4I53uCMCd8hBoQRA%20gMGUgVEVqMAggkCOcrQDB/YQ4x6iAAIQyEAQKShChiAzGcqBBkOSg6OpZPaYccxBHTlQiDA8UI1p%20FINIn/vcTIxjnNpoIgSwkMg01kAf2M2rBqK7Qo9esIhi3OIWn1NBt4pRjBVISwW3aB14yJWR8tgi%20NlPIAq4yURNbbEI7UqAWN0R5ixqsgBM+MIUZupEDDbSChzsEH4HK8Q1jGrMEAkLQ+Rg2lgGZYwXd%20GIEHMOEPEI0jBT/TRDjmoKLmLf9BAwcU1au8gY50XLMxA+RKPDTACIUAAwgSfMEKBiGAakyBgrri%20zjaqNx3uSCEqx8qECVSzCVusYQpX4KLyGMCADZCjFVdTgTRMEIFlnsOY5zjHwBzDQyMUAR0AugMW%20ALCDDTCCbTjgARTd4Y4G7KAKP2BCpIbAADPAYhzXDJGoxmGHcsADB63YgKguNI/J0bFyc0zqZy62%20GW+c40LeGIc6MDELWExpCoDEiQk88BpOxcYTsNCEH2+xHlugtXUq0A0ITQCtF8iuG7d4QVexCgun%20zcYDtJjSlEA5jSVpoiY5C0UWzECKUOjGGLqZgn1UoA3dmGAJmXjBFYwQj//pEEH/4PuGPJCpzBIY%207HwJEi1oA5QyKVTDA+vYjDpe0EFOeKMc4QiBJZdkAiNoAAfwUIcYWxGFFKRABiGoRgqAyRUTWKmD%20mWDRCobCIhOk8grWmhe+lIGk9WznsdkxBUd8wAksdKkaBMhBDI9xBW2sAAngQMeBBsZRjn7jHOlr%20BS/EEidzyEIHsACAO9CR0mpUwwhDoMEOdmADHjTgpehwxwEAYASPgeMfjchBPezwKnSOZpyRmQc7%20mIoZOXbGw5l5auQixzh2JEQQJ6rGC6T0GkTWKq+xMGt5TMEN2LWOPqLIgiV7dMtNrGBYLwBC6u6q%20iQIoUhO10oQwOLXIRQyZFKTw/8EafESKJZDCBD0CZSZuoYwsqEgFUNNADv4F2oH18Jho7qw8Pkta%20AAEIQRBaYDVgcQwbjSMHHiCIFKIgonDQQkhX8I0lm9bVJRTjdabwmQqWkAIscK1OwLhpQgnwgiWk%20ZBBXkAKQjBE0Xd2CPtZ6V3m0sQlt0AetHBkCMDzQJR+4wxwyLMYgXuCBdqCjXy54b3x5OA5ypEAF%20SACjEfLEAwdjAQnV4CIBfNAUGiyBBkNQ6QbsgY7Y+mMc4WDHKKKgI3j8EgTqGAe5xwEZdIpYqSFO%20t1JHNSpwwPup80gHOPShC07IwI89qs2SPXEiUjRDFMsxFq6agSsk6WoFWoVC7f8WUdhBjCALWr0C%20lLUcHH4LywcymEUKSAEEH4RCUwWYMmy66gFC0m4NmbjCLHLgBwcdqIfIRHM5kkkgZ+JcmBCqORJe%200IwrACMWopjldELgsXFoQqE4GzRle6NwfMKEObX+DZuwoIN46GANphCAzjZQBJcMwhjYlZ6xmtG6%207WbhXT5bdDNyY4tBrIABLygGEByGBGkNIsBgbK8LBtb3vh/QCMWobBEYIQ8oSu0pgx4KAwj1tGII%20wAeFooEPhjDuxTTCH+gshy6QMAsQbGAc7TA3ONCJVA+DeFXshtxlvDEPp0bmjlEAhiJNHmOv1iAi%20TvbAIlaAk2mtleDaSWszjOH/M5/1LCqDcCSuRAm6ECjmAI2xAzzqAY+f2kFE2m6FB8ygjOJvYjlL%20aEU8wna+8aFfzTvsIftJW4L3v/n97ejPNLrBLVN0Yxv0kcII5kDuKKgIZU2DwgmJ79HTCryAz9TA%20LQDBkAEBA/CCDcTNFZhBUWABPByAX3TQJsRSLIVL1HGQrsAOQfBOLGlHDQzCFFSDD1xbEAyeNFRD%20OODaDhXIZoFPO6QILKgEKvAAD5CDoQjAA/qAq+XTFPgAzhih3K3SrqyDOYFAbIRASI3GtYGDOJyD%20ZFxMOqxe/FjO6YlYialbZ2gevLlbZMiABEGLV9XGC9RAKPgILkDZAI7A8pjS/ylJx/FxBwd2Cxd9%20Du/wDjeAgIiAgx341AGkgx0c4gFlW7bZhLHwElptwDqAkTckSJt11Gfd3Pi02ftxIsOYz7/UXDlo%20ArVwUEGUohSkwDgcwDisQxGkwBDGwhWswCxmQTHUyxRswiCowBr8lVG8wAbwABYwQgS4gREUBRBE%20ARZsmilAgSjE0lkpGgmWhyh00jQAB3EkB8+03QtgQRH40TSowArwQq61lw3G1/kUVDXgDAHQAlNo%20SQpeWtPgEwEAAc9MQRA0ICnMkAxc1BBUg8JhQekpkBuJw069yhamnheiXomVmDeIA7yBwzlAlQIp%20YjkAgwpwyLFk0grIRO/wjv8pnpIpBg/sFITxGR8UrAHtJAu7gOQ27MIoLEbNhUM5pEM6rM9oQAaI%20IIE0SIPs4IoUhAAOqMPCnM/XoB9osRn7bWInxt8OmUPAOAgn9FIHcVeNbQP0zUH/JAYOrIMGIEFw%20CZcMGIERKMc0vM4iqMkVLEED3AEAONEdqELjGUEQDEHYlQss2YIx6GJ2rMcKLIImaMLnacA6JEZW%204sBVFYMUQAGamMEIEIs0xEIOpE87yENlcpZlGgg+VAMAYAEwrJBl/QB4bZGW9cYqVcDrjIAJhAAQ%20IM8KKMsKAENLoKXLLNBjiMNtFuQBoQNCbsa68SZDXmFBmtg1wR6I5EDQhKT/HQIUuXyktsCO2BnD%20cjzHc5wgb2TBIBQDRvqhFGRCiIiDuWleObBMUb0bCNDPNiyHLdzCL6UDOhhTO0SAMJUWaOEcJzZT%20fcoZ/H1DBEjDNmhDB01IuUiBCUzVHMDDTJYAPEQAubUDPIzeOYxDrSWmLYiQAKgEFvyADrxUA1TB%20UuBAFLwAFEhBbkCBClhLYUmMKKSAOhCmtoUDudUcua1iOODAEHAXR2TBFbQHMNScg1RmgWAmPXxD%20mbSCOXAFNSyBKuSAmxTBBiTgGhBAa0Cp2V2BCjCAiiEPLl1BLKRQBSxCFBzQAUBVFd6mZ5ATb0KG%20b24huwnnOphiMyjDzxTE/0EtGxTohi6WZHlwgzHcmBRYi3d04BpcZ7JkwQj0TkZsgyboQ4RB5GKA%20QyNE2GaIQwgUiSkYXA34wAY0RmZ9jX6CVjLxEA9tIn7B2Sd64jCxQ8aAi0dKQSgsBrm9aDjoQz3o%20AzwsaryFgPKUUDMgQTjkABIYAQOwiQ+8EA1MAZFJ1sQE39CtBxRUIBa0Qg54QwRASAREwJ6AABJg%20ASbsERJggh+0QgjwDEVdAYCBQIMESM2hmXudQzVIQw40xjjEAyoYQSwUANccQDkAwArkYqIVwwLy%203jRoQhSEgA8AlxFogicU1BVoQohdCEMqJB1FjpquabrB2z9gi3SYopEgVP8WZIHCgdIIiF11ZAef%20xhJ2TEcuVkChuuYaVMeh7sK4hQhEmlvNegY4aECVUkv4rQEnbMABHFPNjeoxKYg5opkziVbSCgj8%20kYNJzFLuLMssesA41ANCIMQ9WK2L1myZVMc2pGI4HEAE4IAOAAHOFMUicB26dIvB3YK1KFYFeIAE%20IkERxMNlXcUGkB871UlYtEIEqAM8aBNj0gIt/AC1wpw3fNFGlUC2HcMgaAA4wENjNGgOpEAQpABE%20eUMUXEExEADnakMsWG04BJcHzAEAYgHHpQYsPCyrMCSaLlXFplvHgINHYsQCjgAXMRvOfCwrIarB%20hct8vA5BmMHHdi6RIOf/y76ABihGiNRszUKkOmiCz+3GY9nCCzRpDjklfXqWMpnj0spC0ppPgDAT%2095YDJ0jBkizBOqgvYoAMQkRureqDrMpvOejDHNxDrPCODIADPchgOxiBSzjUBC1CLKyAKVCvchRE%20BcECq/2AEVwuDmxABEswKORtPMhC+sQDCCTSMegKi1RDK/gBBVtFPMzfMXmDH6hDviFEPfSPAaHD%20BgDDWOaAOYACLzDA4GmDB5RTOcjAEGiCN3qAJgQBsLyAJoyDGHphxMLRxKoe7FqsZ7hpM2wDN5ii%20KEzcFEyBwk0Bi2Rx8ZSHsTCHp+WGT9SAYw7JNNSiz3ykFKxCQcKb1iJE/7mpwwqUSzOMgCaYQAfB%20QhG8HDmMQ2exXzK9X0fJp32WKmkhyPgUrT/MQjOYQA0AA1XtlvvGcehScjfB6j+AALN6QPxeRc2k%20UDVQkFF4wCAkydvBUhYEQREMwQvsTfNsxZ6ExVU4TJ4ACDmAAL5sw2988RXAwhGFkTngQN1yRSvg%20Q2Jo24GGQ+SWHjnpEDAswRJUBTAMHjWBCFC9Iiyo5gNdQQrs0TpcCKM6MaqkaROPs4jNgzZJMaKO%20wBQQgDq6s94s3RaP0s9EXTOYoLUMgsRt8RYbKu3ewjwohouGgzokxotSlToIwwjsgi2sAAgMSzdv%20QIPokDGFqsEULdHKn/99loAsfGKCLC33gsM6fBIqltsyY2041ANBL3PWNoS2sWImSAE3ZMI6jAM9%20gMMSABiLPQtwTMEg2IIprIFZecABxEPlFcBdFUA0M0IU5IC18gBZxFo7fC+AGEFBmAEuQFdGGAFa%20xMMdgIK1WmsO5MBNj9s43INP1cM82MFRIa6RAgCACSsAHOstDEE5pUMrDMFrqEP5piKrZIg5jzMT%20K/E5h0aE3QhGHuo2rAHnqiMBLJ4llc6wZMIa5JgZmN0mtN1atbMsZjFULHZ5sAK5GXRilLZBF3RB%20V4PZxQImuBIsaABEfZFmeY8iWzQPNQw9LMwnQohHj9b4EGX/hMPrSIH/DLR06M6BJYdu/KY2VQUb%20uWiA6I0DLACYlrXEsFyqGeBKNawyFvTFEAxBAYS3DMBCU1zdMwGIw5SFPCDBuxDUyUXHogGDOeTA%20DzhMg0ZAPAylvBo0VYVDWzfCSnsMObSlESABBevAoK3BEviHY4hiNXBCBGRb/8zshVAs7CakYXtY%20pG5IRnCgCgzaFFSAPF+BUAwai2VxJsBSDVSAwlHcC+jNkvyVawbNGquA1aI2Qpx2jsuAQ8uADKjA%20bGwADnwRuq4fw9x2My3MbiuTR0MI/JHWbotnOEgFJ8Sqjif3gR60cifEayrHFBeEDDCGPoAAgAEB%20LbjVFTTDIPyEPXlA/1KXtxEUgBHwAl3CxdqU90TDiTzwgDm8gw9tAJJASUH1jM8IQDz8ACNsQAQ0%20gA/KSYCIiGzxwzrUwyiMAkIbkywsqTnwwB0YAQtdgQc4MACNgzlkJWd0mE5dToionuU4MWFreFJB%20pCaXx0eaQgWoZQw7BVGo449QFoybAQfmKAqlBMWp46DV00fWbgqsgjqMwo6XNmGqg/JqwjRUybHU%20ACyIRcL8UNEyDDE1DNJCE4TQg0ePT4J8e8hog/3Iq46H7j0kN5erwz1wQizIS8DFqfEor7zKALTE%20whKYQLpIhRF4wwYAa3kv8FjOOXgXQBAoPBKkjw7B2eF5w61oWShAh/925CIwIEGfJFEEmMMBOAy5%20vUqqzMM9PPs6ELMUSZEsxIMRxHAKIAEqBIEGmFaIPEakXk6rX87DDnaqXHist4o/hENizmlG4DoD%20IMEdKJFDEQUFDZpvrMHEDJqayN2xW7ssaoMdSsE0SLtBq6/6nrb6hsMsVEMmmJ1UmAIqQNTEL+19%20EozBLPm/OMzb00MEKMjby1/NsYwymIBQhq4yc3noyrEGyAApvEAJSccVeAL/qEMKnAilNmYztAgW%20pA9bKvxYgrecjyXny/lTA5EOSTxpTAEcyrQCcmB5Fxgw+A0jFMEdpM+1lRPLhAhw+4GbXHCAREAO%20oAISWMXsSau5KdD/ZrDDZEysq/98Fwo9HF2IOqxxz5gQUQhAAeCAEQ3BPYmyK+PTIKwH180KZWEa%20jF9B46rxy65AyoM9i6p/+ocDMOSOKKGaGVgFJcZZMw1tzLWDbjeMOVAiQNAzZ+6bnwglSphDmLBd%20uxLf/I275SPcuHARLKoLB2+UujnhQIYEabGiPpAapEjZlnLbiCAV7a1LYWrQtim0YKWI5+6duQLU%20YBUoMGSIkaJDjWABwGsIoxLknn77FsEPvFihpqlcKWXTJhpGfNAoYEToWFQ/wpHz5g3cOLbn1n4b%20KHeguQg5OGGJgM4PJmCtDqz1N/jfP8KD/RUmXJhxY8ePITseDC6x/+HIlzFn1vwPHGd/GkSp3LRt%20E9dM1V5cYaDjAKghDIAAuXJl0ZQKXa/IZuAh9gvfL1Y027aVuKB1x9epS75cnfJ1o0KoGDFCVI1t%20xTb4KTe3LsJyCaUqbGduPL0N5AZ+JxfPj0LxC9uVYxuuxjQQycfBax5yDkmRITWCByRwUBJFuExm%200SC5ijRY4ZYaTMBhAySAGQIYHVopAJYlfAgqhCHGGoIpYIwwghdeOIkngnha2QAjTIC7xZN8ighi%20CgaWQGIDAIzYwShYgirRCA3KAQcdtkoo5xtvyJEKPSXzyyiCb9qBJ4IN8AnHm8oUq4xLyzYLUzLE%20FBPTzDMbo6yzdf9GaEaFZkxZyZbcqmGAgQKKyMGHHZYwYZFqBBgkJQJQg40UP19ArSYpukmJpUxk%200IcV5pZLTrnmNGlGCjebqeGKVuIxRx55BkrIVIS+Iee7dgRqBwleIvCmnO++iQcfcsZLaKB2xinh%20nHLUkaKGW6rxQJMUQMjnv2UBVMekcNTxYAQTbNmkmVmgnUPAWGxpphgNxonAyng2yJNEDTvssABN%20xgImBWAASAEJLEBlL551/PBhmlBG4McOeKK4ApgN4iliXgAQRjiFhUlEIta1vPlVSSZVZXIct/wp%20J4Jw6IlvnFm3RIxMNElmbDIvS04ZM386Y/kfGaRQQYUauNqkmD//F1nkhQKwMKIIHxgQINHbpLgR%20NSBMuKIa1IqhWSVGVZLhvnXCQc7qSjXiJLSUmmnGBA0iUFLJUmd1L1XxIhgIExnaUXW7ckCV6xtZ%20BEJoPLg02EabYpq55YUQZqF6I2iZrSicOTQaBwRlFvGgBlOk8ACeydUJogYVjAEBHhyaw+EizuOx%20RwMQsAAmCBlMByaKezdQB5921IlnPz9GAWGaYnYJZRwc4NHgih0iWBGHdiTUIIccithgA3tyCCIF%20TGL9rhy4kAQnyXMkPoeetH0tUj7KRlaZZJHLFN98k9tSjBNbVLjFUSnMUFo3oBmoEIglGLgik0HW%20qKAYpBO1hGqY/yA4W3kfLNRxj6stEDnKMYEytqGp4SxhA28j1XfMMatvgEdWJShPOcgRgSd9Zxw5%20cIh7TuWQLXEiZivwQA4qkhGN1MM/zNKIOsaxDg/cIgsr2cYtNBAOcBRhWFKQwTjmgBFzwCM/6rDS%204ECHg3jE4yL0sIfsYrcOKsauHRqIxQoy0QxjaIB3SLjCEOKBAxxEgHftOECV1AgPc2xgFgtDRQWp%20541vgAMufFzLrOCCwxL0alZ8ZMc5uBS+862MZShb5CMTAw5M3MJNw3HUGq5gAgZoEgiwiY0RlnCF%20Gy2hGDf6UyyAsIhjmIElxGkGCNShi0ox8DjqAEEs3HSLmQknFv+tAKFctpPBJGFwSeQZz3jSkx6N%205YBK7jnhIEuwFhnUYBGwtEhMPgISxBGOmxpplj7s8QpNSGMbNAvBODgxgpnBYg7+UEcjLnaPcdjh%20HvUYxRzuOYc55KM5WIyAR6iGwxuqYxQp2EUm2teMIATPjCkInnImd7hsbkRZ7WgFCECABBBoQB3T%2084Y4KPOrcdCDHn7wAz7ooQ8/9Goc5wDHSxdjmC89MjLkAxNNVQbTloXAOo7aSvxgw4BqLGIJiwBC%20EKpxhQpMYQUVeEEsTACEpV1BBY0iTkpWsAoFHUeWtOToLKSgTje9qQYeCNXY3jarJCGEHKryYAZn%20hY7xeKME4Ij/Rw7oWhdZODOa/hDGFUAAknWMI0DQ8iaAQHJDkTixIjnIQjcgdwthDKJvJlgHOMJR%20DjvYAaSNoOc98MlPxCkHB+vwXHP+2Zz94LBBmXBtCATRCitFoRo7CJ3nsjkHHOhWouIKRzvCYQ98%20bGAdragltNaBD3z4gT0GUYcf6BGOlX7spexYzExx+piTlS+7JOuMTL3RiHCEZjgGlMIgXoA0E2iy%20GqlMKi1YOYglxGIJRd2fFCD3PinsIgjOoaXVFKQBE7yJwJ1aQjzaNhB5vC2DZtugMeXSkHKgwz05%20ICmuGPKQcnzMG+EwwhQwcREc/kcj9+jmYg+rkTmsIjg1oFkz/7p1ixxYhGV8fKn1xvGs/SRWIwFt%20xSqqBq1R6KMR98DFQZvhCfHmg3dYYIARPHJDfoRjFIXbGK8uRuLDhuNZ2hQJdW/sJex2t0vXJbN3%20y4zZTLi4p8ZIySZUkIX2zhdHdooFLAQ1iFgwQGcrsIV+fdgMTBRBqw1U0KRoqY4QdCoT6hwBLDZA%20D/Q0WHqmOqF7MF2Xtm6gFXV5z3vA4Y12wKIYRQDHYEcskiov1rCKVWw40mmCW5TTTVKIBfjAwQ4/%20ioMt4Nhwq1XrB9XecB2NIGhJNNE+FSjDE+GoRxIjkIKj2kOfzblHlVeNQ31kGcs1LNy3K3Jj8HXp%20zNptJHfLHf+mxJwbsy+gGa1rMJqU2KIY6fXAEngT1WpoahMvgMUibhEnlvhUCrZYx1Y1sFXkGNfQ%2061iFLW0xjRS8QBTFiMUG2maqUikEIShMSDDbOh500AMVItxe26akkAi41BvRMgE9LDKri2W5cK5e%20rWE1IQqeCmsTNchEOPyRDpjCBTHYA8fGmoOP5gjbWTs2cZXHcQ9BNFoUMtPEONKoRkX4IAj2sAew%20q9wcfQgoAmO/GHBt+B+LPGvmFxM3ZcidbpONbMxyr6lh4I7ZVZCiUzKrgS3yyxVbZOIKqARCLKqR%20ha5sIxOLKIZ5HVUDbuA34cdBuFeVk3BOqCAFmiiGKDIxDRP/ehqFG//GqhpSqvGUox0lp0dC6CGL%20U5mjpeXwRzyuMAuLMLHtbZentxPLLA2QYhpZ2ZQUVhD0eaQj6Ijp9a9b7Qcui4TtbRmFBjSRiV0Y%206M8eOIAa1agDIOxAis3JcUagzqyNpT0kvf9YI8oB/zCTKaZy3+5N7Z6ZyuTdIvNYhwlqoG+0QTRI%20o2akYwWYalEGTisGLoKqQROmprhYIeF0oRVYgdAqUJZyYBWK4DhAoBpGgJKKwQwGQQO0Y+NmjyDI%20gVTagSpOiPVaAQlaQR4EYi7SxiHiAy78wAOmIVzGAbM2bMPa4sbcj+aWhffQKWaOTwZYRtcGI2Re%20ygilbyPc/44I/WEUZIDixKjgJiIKUiCIvs8GGkAHlmChJgce1oEVgGHHwA2xBmokwOztwGEe5k9k%206q67bOoO868xxKzG0gGeQGAF4m0bjEHg9EveuCIlIMeAVoJmIAeBOmKrdKEIKk8DJvACtWoVLO84%20QgChpCMTtsEUciAeJq0uvuPjpGJVIqAVWqQVcgATcgAHQqgEZOHSFmJK1oKFSi3LZO4H1eTtfnDm%20DGckKoKGQEIGhsM6tsEMQKCRRIYtNowkNmbmvGfcWAEUI0gUZi1mNMAb7OCNpKhchmD8dAALUiAE%20YMEDSCGI2kIY/UNAgo+b4FAOndEO7XEP708P99DcJuNwcv+gGqxDUwDNpxixAR1l8iJHHS5Pq7Zq%20FSowwNahAq1GHVKgb24hEwCvBjghbEzxVD5O9QbCDwgmjdphKsihFift0uhhLdrhBbRBIy9GQGYO%20fETmF4mw99pCHTBrDmTAa96tBlagGeeQLZ7P/YrkpUBKTbxhFgLQIt3MGGqAgjQACVJABnqGBu6n%20ADjECIJgo7bN9tqiSODpYraNGL+sCufwHsvMHvWRpvJwHzXjuiajwzSAEzxAUN5nEwxxAX1oLy2p%20GTxgFl6hAzdKAzpwAv8roPYDE8KoW4alGXygBklvIbijVJ6iFBVCHloQhTTTVGSlFWBsGiwrcUYC%207m4KMWz/cghvrBzuQUA44QU8oGka0RZSwA5cChg/5ihfKmRcqjDGQRO2wUBEwRZqACptwQxC4AVO%20xwdGBAB0YAPgAR2OhGW2ZEsogw5vDP5+UDvbTtzIZNxMBjIUKd3yES7RROjKwbBSQBCTsSnLC/L0%20a+BoIQSEARgEAQQwIeE48OAYaNgIy7BiQRlHAyjbwR7MAVca7JkyrS4aIlc8TfYyk1eiiS2MYBsG%20YRqGRLUswhfjbi3l8KXsoByeRQMEIQVUQAoCjhvK6p16LQqLpMbwDn0GA5dUwAwGr1pMwEC+MAda%20oaO8QTqlMx1C5gmp86Vkih2wsxFa1DsVaTzNUzzp7knN/wR80jOHgGEa4IQbTME6lBHyLEm/6uMF%20TIA+kSUK8lMDNHHYPKLVLgaHCMsEtnRT4qQGXCQ9PEgeHswU3WNVNO6Y9EpXvmElW84IpoETMCGg%20LGVATPNLarKR1IRlflAdOEETYiHgpCCMHGUFUkAnHZXdvstIb0wGBkHZgpN9NIE4sUAjdnMthBRi%201jIP7XDu2JIP2/JJy1NK1S2SPub6NGEaZmYbVNRpCNK8yosbMuEYGkcYUsBQE05BVAsOTaI7X2oe%20QCAEm7JTpCAFDiCDmoTjhqnBPG4hPMiDGlRc2yGPPrC/oswemuMj3G7M2NIfxCEdxAFS80MYRmAA%20U0IZbP8hFB2lGrBlMgrjUyMJ7zhhEbRBBaruzzRFFBxHGzaVMsSB16pzLWRKLWG1ppoUV/UvSjk2%20Lv3BugyDsDQgBWKB4mxhG+NTJVT0FnZhBXwDFoSBEzihMJ3jWakxDnFtMGRAFHbBGDplG2xBG65g%20jSpmgxxiwUqv4zbumPZqad3iHFphwBTuuBLHNKE0XoXOH2LII1aBE2QgFkZAJQJOBVT0GDb1B8Gk%20HcMBE0JgbJVBrIJ2JfpGCl4gsMABpBDJH6pz3Wb1YuM1Xj9WTG51cC9jHsrHH+ZBRLWKE3iBUk0g%20FmKBFDyAFtQxcj0gBGQAWUAgBxoIn9gQLSejXscNVFP/YM3+ThtgbAQCa1cULCFIBQWX9q1Sz1RA%205hzCwRPQC1GTY7TeNTyzFjHqNSlJIloxKxZCsVNMIZdUwOJCIAVmoY5kABaAQzgSysUiCHuFFr0i%20Vl6NtG/9VnBlNXAN10zesnwzYx62ZB5OZjDEIcdoiOaagzn2Q57qQR827CtnUqfEF+8SYx2mYVhW%20wAxUYBCAwBxkMWzwVOMYePYcFAXXio+AYQS2AQQ60FJUqz9+MJE2AzWZrx0vBYeAUyV+0k1EwUC6%20plN6ahtUYGitwxRO1DqgUhReQBNygFMlFpHAF3Drj1ZtanwMt3DRd0xiyntrjGX29hlX82JmRTcH%20tjPY/7d9PcMeYWpgWYYTamA6RmAKAjAHwuYpTnEyS4/jjGlXhqkcxOEcUCLJkkOW1JSJqlim0IQI%20DSc5OGEFRuAYRIHWCjGCZKZrWtiH8Ms63kQ4ImgXXkBqwsEOvEFIrYswQmZI/7Z/ATdXg9hjh3hM%204s4ek5hvwUHoqpOP6JUw5o8ytqSSnXQc/LYwdOEFboGHmsZul6htmoSBydiWa5H0mvgc1EEQRwBb%20Qvi47AAp58581zbLkqNkZYATYkFYmsFa4qSPA3BOifNymkEb3WQaIDBxbC8dmI98wJd8x7eHzZec%20bfXc8C+TX3Wc6c8fkvgynFGOpxQ8CyMcKrUY9scW1v+ANr2BI7dDVzDtmWoRB1lP5tKhiWPBDMxg%20BWx4dKLAWZ3FF+XSfBcVswjr4DBhFniBFC4ShdmMEGVGaA0ke7mhGaZlDYUI72Dqb9UZLs+3pdfS%20h2O1kuF5osuZUeeBE5Qh9Gyhp00hCyoIHpKkBhki9jAtIXLZY6KnkUlhEGrADEYgFlAnBV7hoanm%20RWeqVjVZpesBWjRAnGJhGqZDBQgRWzdlZjLBfVz40YJoHtihmHnYSWGaPNFZq3H1h/HQfPzBBRrB%20BIQFKjdlE6ohAnhFPsjjIFKlBLinXMfDLczhHNIBHdTBBwbhFgZhOq6AFGDhWECAFXDISBdpZHyN%20JNb/AQRSQBigqhoyQRTEKk6G40RNIRM8AJYaIXxmeq459qVxe7e7BBxSQDTEaEttYQnCgTzMQSAi%20jFx1pW5YJT4gJhzucgSKYQWyoBimoViel6Pg4cbg+kzkkkvEbfdiqS6BwRNCQBNCIHPR2wNkgB1d%20hqbRjbdduq7lu77nMAUCMBQ3ISO3AQjogfVwsGPsBgcD/GFkRR2qgX9GwLWmo95IQRisKe/kWt22%20upgpQ+h0LRg34saEDmsHtr7RV7dBXGNp9e7k2bublH1TIDSG1hTMYFi24Qo0YEn0iE9X5fUUQj68%204WM4YRtWoBjWgH8S9iJNgBeiYLA8XLvQpIix9jBQ/9O6aJId2CJkxxfuUNOcR7zchDjLVUbM4ruD%20GXV4QWARNsVGtcEMXrIYgIHDiqSRo6mQQk1WJCkWtrQa1gDGumYEQoEWOIEd8VCuTybXqDjoKGOY%201fLEudw8RTzRgVie7foySHcwoNuZZeY4pcEMqoEToinOQ83XZiUiMOEua0AbToOSAlDPZAAT+mNR%206w/Lx6fJG7Uercu6QqZ8QHvCGZ3MtjzXDZd9xw26u2ZoVUB1X6wY+Hyw3EKIwmEWSE1mtEEUzOAW%20ioE4iSW2ftAb4trVu2ulyced6/G2ef2czSzcQ9xT58AE+k6CHmd5Q/FCleYFMsEMfNwDVLcZRrVr%20Bv8h04NouyjZ/swZVnGd3Ol6UQW+fCfjuxhkGvx1Tpc3AM1AGkZA8syga0xBE/y6G/pmBRYBcNZh%20uw8+yXdb2wuersd95HN7MHoTs9RBBoJjU1ysGbph1KubS5+mGJDRDKYhBPrcWWT90efb5DN514F+%20H50RpCJCHVpBEF6gad4NThKqbyruCl5gGgaBFmDpUy88ZKv4vU9epkt86BUdk8F+vmmyLYzNtENg%20GhzEEVVgGowFGDjhoRWEE1S5xgRd1x7Zyz/W58ceH+m77+GyXllG8CMpHO5hAh1aA3pUHXCAJDDm%2001+0MD7qm9dtXusV8DG/ZBY988/M2xGDfRFXjkOjFjG+GXwpHzXXWe/rG6853y3PTeRbP7QDXva1%20HfZjf+hZ//bnO3B5f/Z1//fj0sr7sPeJv/iN//iRP/mNX6YPPWWU//mhP/qlf/qpv/qt38l39lGd%20cWe3v325//u9P/y7f/zBn/zFv/zR//zDPzXDux2L8P1x8kPlv1PT3/ztv/7xX/3vX//zHyD8gfMn%20kODAgggPKjTIMGHDhQ4jQpz4kKDAgAA7" height="228" width="363" overflow="visible"> </image>
          </svg>
        </div>
      </div>
      <div class="fig"><span class="labelfig">FIGURA 1.&nbsp; </span><span class="textfig">Máquina trasplantadora ERP-60.</span></div>
      <div class="table" id="t5"><span class="labelfig">TABLA 1.&nbsp; </span><span class="textfig">Características técnicas de la máquina trasplantadora ERP 60</span></div>
      <div class="contenedor">
        <div class="outer-centrado">
          <div style="max-width: 1160px;" class="inner-centrado">
            <table>
              <colgroup>
              <col>
              <col>
              </colgroup>
              <tbody>
                <tr>
                  <td align="left">Longitud total, mm</td>
                  <td align="center">3 100</td>
                </tr>
                <tr>
                  <td align="left">Anchura total, mm</td>
                  <td align="center">2 095</td>
                </tr>
                <tr>
                  <td align="left">Altura total, mm</td>
                  <td align="center">1 880</td>
                </tr>
                <tr>
                  <td align="left">Despeje, mm</td>
                  <td align="center">405</td>
                </tr>
                <tr>
                  <td align="left">Peso, kg</td>
                  <td align="center">662</td>
                </tr>
                <tr>
                  <td align="left">Modelo</td>
                  <td align="center">FD620D</td>
                </tr>
                <tr>
                  <td align="left">Tipo</td>
                  <td align="center">Motor de gasolina, dos cilindros, refrigerado por agua</td>
                </tr>
                <tr>
                  <td align="left">Potencia/frecuencia de rotación (max) (kW/rpm)</td>
                  <td align="center">11,4/3 600 (14,7)</td>
                </tr>
                <tr>
                  <td align="left">Cilindrada, cc</td>
                  <td align="center">617</td>
                </tr>
              </tbody>
            </table>
          </div>
        </div>
      </div>
      <div class="clear"></div>
      <article class="section"><a id="id0xbf67f80"><!-- named anchor --></a>
        <h4>Metodología general para la elaboración de los semilleros</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <p>Según lo establecido por <span class="tooltip"><a href="#B10">Minh (2012)</a><span class="tooltip-content">MINH, R.: <i>Manual técnico del sistema de siembra de trasplante mecanizado del cultivo de arroz (Oryza sativa)</i>, Ed. Instituto Nacional de Ciencias Agrícolas, INCA, vol. 1, San José de las Lajas, Mayabeque, Cuba, 2012.</span></span>; <span class="tooltip"><a href="#B6">Guerra <i>et al.</i> (2013)</a><span class="tooltip-content">GUERRA,
          V.M.; DÍAZ, L.G.A.; CASTELLS, H.S.; LEÓN, S.L.E.: “Proceso tecnológico 
          para la germinación comercial de la semilla de arroz”, <i>Avances</i>, 15(4): 406-415, 2013, ISSN: 1562-3297, <i>Disponible en:</i><a href="http://www.ciget.pinar.cu/ojs/index.php/publicaciones/article/view/121" target="xrefwindow">http://www.ciget.pinar.cu/ojs/index.php/publicaciones/article/view/121</a>.</span></span>; <span class="tooltip"><a href="#B7">Hernández <i>et al.</i> (2016)</a><span class="tooltip-content">HERNÁNDEZ,
          B.M.D.; DÍAZ, L.G.A.; CASTELLS, H.S.; LEÓN, S.L.E.: “Adecuación de 
          sustrato en semillero de arroz para trasplante mecanizado”, <i>Avances</i>, 18(1): 49-56, 2016, ISSN: 1562-3297, <i>Disponible en:</i><a href="http://www.ciget.pinar.cu/ojs/index.php/publicaciones/article/view/147" target="xrefwindow">http://www.ciget.pinar.cu/ojs/index.php/publicaciones/article/view/147</a>.</span></span>,
          las variantes fundamentales que inciden en la calidad de los semilleros
          en bandejas son: composición del sustrato, porciento de germinación de 
          la semilla, selección de la semilla, atenciones culturales y vigor de 
          las plantas</p>
        <p>La metodología utilizada para la elaboración del semillero en bandeja se compone de los siguientes pasos: </p>
        <div class="list"><a id="id0xbf68e80"><!-- named anchor --></a>
          <ol style="list-style-type: decimal">
            <li>
              <p>Tamizado del suelo y otros componentes del sustrato; </p>
            </li>
            <li>
              <p>Mezclar todos los componentes de la relación del sustrato; </p>
            </li>
            <li>
              <p>Análisis químico de la relación del sustrato; </p>
            </li>
            <li>
              <p>Depositar el sustrato hasta dos centímetros de altura en la bandeja; </p>
            </li>
            <li>
              <p>Se humedece el sustrato a razón de do litro de agua por bandeja; </p>
            </li>
            <li>
              <p>Se depositan 130 g de semilla por bandeja, a razón de 2,4 semilla/cm<sup>2</sup> como promedio;</p>
            </li>
            <li>
              <p>Se cubre el espacio restante de la bandeja con sustrato y se realiza el alisamiento del mismo; </p>
            </li>
            <li>
              <p>Se humedece nuevamente el sustrato hasta que drene por los orificios inferiores.</p>
            </li>
          </ol>
        </div>
        <p>Las
          bandejas utilizadas tienen las siguientes características: largo 60 cm,
          ancho 30 cm, profundidad de tres centímetros; diámetro de los orificios
          0,3 cm; cantidad de orificios 105 por bandeja.</p>
        <p>Para el llenado de
          las bandejas se utiliza una sembradora semiautomática diseñada para la 
          siembra "fila por fila"; lo que permite utilizar pequeñas cantidades de 
          semillas (desnudas o recubiertas) con cualquier tipo de bandeja. El 
          cambio de las barras de siembra y/o de las boquillas es fácil y rápido; 
          permite utilizar diferentes tipos de bandejas con diferentes variedades 
          de semillas, <span class="tooltip"><a href="#f8">Figura 2</a></span>.</p>
        <div id="f8" class="fig">
          <div class="zoom">
            <svg xml:space="preserve" enable-background="new 0 0 500 279.176" viewBox="0 0 500 279.176" height="279.176px" width="500px" y="0px" x="0px"  version="1.1">
              <image transform="matrix(1.1442 0 0 1.1442 0 0)" 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QR2QEE+m%20IvERcCvCLo6BjnOcgwhfCPAXiEDgc1ThwFVAAIIPzNR98pMQYhgU9t4CzK20wwupqKMVGiGIPjoz%20r3lNLgCi+YEPSAMELuhYuLxS2Hdw83s11cQLWhCLB8QCDirQAx3MkYgMJCICiYgFLhpQC00k4Aer%20QIIh0lCGBNAXFb7YZxl+oY40vPYY62BAgAH8BVt8gQFEOEc6qHqBUSADtVlgQmqfkDZfIEL/DDHY%20HnDP4hcRcMG4APhAIxqRXL0id8TNrEAXpMEFayatKy1d1jusVcPwrYB8iRDvECLQBhxA4gUvsMQL%20IrAAbCzAB0PwQ0FXtgIhLCEBmThZAyqZCA6UghbgWweBEfAMBJyDAf6tQimEwWseOGATI4hBQ3lw%20gANAAxq+QEKc8+NWtDihBlzQRQX4uGcPgxiayd1zI/woDQ+4oB2RGRmzJjOPQHjve7R4NA85sIhH%205OAABmjCATJ9hjOYIAOL4EUZHuHON3AgAUuog8CJljL0CYEMngCfLQqMgFvYGte6FgYnQjGCSBzB%20Ab52gBn4IQxoDMEXR4gws+0yWKnIQxnR/w3GtlcOAJNCE5ofLXEF+tiI5YJAHHqRDItnA48X21B0%20O9hBBDjgAx8IAQwC6AMvFIHFYptB3uodwhH0/QhefCJvBaVCDvOwBDJ08xi2CDsRcM2AsK8DAbue%20+AjYXAcHUAMYwthHKI6d7BjEY1HNPosTLKALK/DRjzTXa175mkdB6HHbffQACCqRLPq4+NxlW4EO%20x5GBoltCAEoQwDUUYQlKHEDekDhALZrgAFDkARdCyIDUc4CLQeRBAp8AQwRWkHCwh90WDMj97dHO%20CU7wo+Iry4Pb98GPUPS+DMq+B95JjpYBgEAXHfg7y10ueOR2oQt9bGYXQKCACWNFkY8hgP8naGG2%20VdSBGmfoMQeOIAAfCEAAC+gDHV6gADrMO/QHsLQDmiB8/kfA9GfQBzlADH7wBJ6ABVgma19wDrYm%20dufgAxPHD7PwBGMlcJuQB2ZgfJzgC0XgDJcDQ3NRYVqhBiF0eIA3Yn0VTc0EA8pkUn60RzCgC8PQ%20Di3CFeJxH4GABF21C6uAC5pmPqdmAkMgAGCgBIqQAjjwAmFgBpCAA2GQBwcAhfzXBPynB3pwACQQ%20B5OgCBxAC0WAgFmGa1/QgAvHABAYChLIZp6QNhxABRkocRwYAy8EgnNRclExBxYgDXjEcjB3VyLl%20TFaQTILQBX/YBbogDv8QAiAiGPAwAkf/kAlI8ARtSA0H0Ad6AFSgUAs7wAI9QAwPAAVoAAZnkAJY%20hAP5V2xNgANBBQmQoAB9oAGKQAythAzgcw7r0GVeRgRhxwBVAIG+F3DCpwdtoEUOMHecUAVYEANR%20gBp1IYJZUQwewFzP5Ed9qEczBwDkUAEdsAbJNI0A0AUWcAV0iEjvYAcGUAZp8Aur4AeOQA3umDBF%200wbZ0FODAARNoAJjIAEZoAFgYAKZBoWqyAKgRw2wQAlGkABdiAjek2W46GVmhwA5oA3awAk4MAgB%20xFAaFwodd4zIwAPOwBdzZhYd4AFrMG3W5lwuuG0wUA2YwAwe5UzNpAsW8AedMhnmOAOP/yA3xNAA%209QZEsZAHu2MGw6hFvpMNtSAJEfAAQzAJnzAGiXAGB5WKOECFCMUH7FZ7t7eADDh2COALPgAN2gAN%20nCAM/GAGDuAAB7AJvDYOkfALb1AqYNSMdtgwukIZzdIQ1dEbhpEXYwQkDQMkfbIbhNEqH2Rc16iS%20Ljhzy9UNp1ADNcCNL5h4XACSO0duIzAD2DADr7AIcBAGOGAJYcBuHLADB0CJQtkGehA0Q6MHkHAG%20Y4B0EuBYsXAG5tQEoxcG7HWAtmcLWbaVYeaVx9Z7cXeWobAJ48AJ0zANpfALT1BI3vcWc6k0suEn%20tQEdgWkxq8GXehEPkbE01bEw8OCdxP8BD4lREIQxklawh4hXUsqVVx1QAy6AB8zACnh0gh5wBR0D%20IpMBCG1QBKiACDpACwlgCZ2gAf0gAJMgAbsDhaCZBwvlO1rUBlxkAIPAAnzwioqgBEPwAGNgAlQA%20Bwh3ATQgdmKoi7NGVUcgW0WwolhwCemQDrp1W1WADDFgh2DhjCOhIOtRHL4kEHpBDxTVKF4wpGRi%20GvVwGsEAAiWZZ+v5cnkFAIwpDniABx0AUoEnk89pFX5CG4FQU0VACz0YAf0wCVcwCZ+WCDuwUFMA%20CvyHUE3AhFv0OyOQDQYABEx4AD2glDZ2Ogk3omV4DgMmdgiQW7r1C7qFYAamW75wYDr/cGg1WFEy%20oaOfISsfAqTs4qNF2heFYQ/cAAQTAAEksAYg0AV+52GN4FzQBACCgAkdEAw1gAfcKAgrZwW6IAJB%20aoMyRAAXAFuRRwZgcAULsADN0Aw5MAkCADN8UAuSBQqsiIq1oKyzxEVaFG89MAZjkAAJ0Ke4l3u6%20eHtil2WyRgQIgABgRmAMgABnhwBZEAP3ICZ5tyN6yYwDMSIJIakEQR+HUQ/6mi6dcaQZ4wUDIAVB%20QALDEAfDcAJBAAQDMAckSVI0V3OoqqqYMLED8GzGZQUtJ6rDsHxfAUZd+j1l8wMJ8ABKEKw5kANl%20kAO88ACLkAMLQAxQEAaQQAdAwIpT/zAIz0oHWnSaZoAL1QoGP6CtDElg3rpwBHa0z7BlYXdr5zqj%20dhAPGxSSFRGv8ior4oIi12EQ9RGv/NoOf3ADAqsFGqABw7AFQTAAA8AxfsE1NfBBeVRtgUZiIiUI%20FvCeeFBcKpdHhJYLHOsVg8EDnjBTj7QCfiABrWCmzZAJLssLxHqy27ANM5ADn6ACVGheONsECsCK%20kKAHTdADPQAGN7MKCodr3Wq0R3u65zqu5aq6DPAMWRAA8hAOTvCuU+sbBKElIpIR78A1mqox7dCp%20sHACBasBsJAKQMANgZUxGOMOYlIJhZln2VdSTsqCXRAM1eCSx/VRwaALXFAAcXk89//qYlyVWD8g%20Xq3gNo/YDAsQO9jQDGWwDUMEvz1gAKAgCVSQMAagB2ZABwrVBJJQrQ/gB+QHdrjmreYarkbbug63%20urc2rjpAD+4gu1JLEZ1xuzzqLhnRFwArsCdAAiIQB1vgCgUwAEeKNVlzwieMCR/EXH1EDiPlXH3V%20gsFQvX1Fq7rgBe/wqFlRINvDDuaGBbswfn4ABuKgCM6zAI+YA0Q1A7ywDXLzuL3wCkuAA3lgppPA%20AbhQC4NgAHOaDRCQAzPAAZpQBLZ4a95qaw93tLa2ZeV6rlpWBW5gBwtEuxQxKgj0H0rjLQGgHbxy%20SAMBgijsDlyTMfYQsEGgBXGgASD/PAEFwA2dQZkMwSvFpAsl+aTYJr2ANnMbpslWME1zcBratD3z%20kA1FcAmE8KUJ0AcS4DxmmgmPSFTXMAOtQz+ZQAwSQAV9oATX8AhHsAiOhQssMAKTEMszgARM8A1k%205624dg63UK5hhgBdNmCzxrQI4AaHMMfMdxHzEJ7VUSrsYAeHUCqlAoLtAA8gSA8hEAJeYMJ+4QWV%20ELZjOwy5kAoDcANe0Lt8kc+96xCgIQ/O23d5JlIo+HLRZI0oyGeC8Hyn0Bc6fDyzAQiDUMpTVQRM%20UAeJ8AASsE6LKwfq4MSn1Dq1rAQRcABgwG+unAO9zAGx0AxVJzdFQGtmfHu4Rq5E/+uQYqfG5Kpg%20bhAA7fC9ITiX3gwZSVMnPbqpG3DP8ao1UgALiGywW8DIleMXEFQY9GAPIdC1nTEbDOKX7JAuWnBM%20JUl4MAyTcOthwTBNHcA1NzCOWeEY95EN3bQLRYAIT7ACuJAHOwAHD0AMr7AAvMDRQ7REC+AHHNAH%20Z/AAOHkEPqDYm8kBkxA/2IAEhGBrMU2it1a6gXrT4sqAXwDHl+PTdYgRfjktoDFRaMIZ/BoCBCAF%20FEAKGvDBW0AHlOMEiZIxiUK1nFFYWw2Y9uC8XCANgvBMyAVzMIB4kZlHCq0PSM0VBQJTI9BVNmRD%20ZbMLOuAGZFUHYCABsNM6RfW46v+wAGAABkIQAcvpbovtAztD2DMgB0ewAiWADmFYukfbkEWbe7nH%20gONaBZogu/kplxgBU+hMD/qKwvLgBfq8wUEQBwpOAlugAG3gBTfSGfYw4IdxqfOqiJ9hHfYqTKnA%20BdH4UdFEUso1c4qZV2tgTCrVIlMibgIBCNtjAF31PdJdNkVwNm+QAFpXB5rgB6tgN979CmAgXhHg%20B48wA0dw5OidN2OgehzwBMgA3wso30dbtDJt32jc2ZqQD5gAyXRhhyKjIv4qyAh+AmPL4BNQzwae%20zx2D255RJCGQpQ2StfM6DxfmAiDw4TCsgh9l3IN2c7StiCuGSN+xaAbQSFgwChf/gAXIsAvRfQw0%20zj+awAeaoNfLowRC0H4c8Aa/4G6TMAnonQF+kDocgARZAHbSbKJGK2Cq/mVpDGZehgDeAEGgHRc4%20ehBYLebuMAA1oAbK0AEdIM+p0Mj2sLwojCK6EQD4UEiB4i3uoSFdYhwKoUv/4M4d0G0jhJIihVwm%20NWiHWADgFgBigEva9NZxfeiJfm7RvQs1JVursI5w4AiWAAz9YAICgNJIsG9HMAmKDeo0E+pk4IUj%20SgSytnBiN2ABdosCdnZb6eq2AOt9MetxYYeF4TkcPAwioAXzfArI6wQGjg+BXOzMQhq64s24tMej%20EhlcDe0KEQA1mkGYEAwhJA0u/4ixJYVHnRxCFlCx7jAoLG8HFEMb2XCA57YLo1D0ZQayOzACLPAD%20SCZbXxVWDaAJK0AGb6C4JwtqGRAHJEAC1/oEZRbwpxv2Yg9g5pp7AoYKSbDHRQIT7kEZEpGX8cqX%20ASIcKO+do8InukFRZxLI7OwOhSywwzAMZAsBqWAA0yVYpsITn/IdhdE4zyOThqmNFmABdgYCw7DW%20Wfp98yoYcH1uyHDoRj8Kh14CDlAIYqBWSeAGXYUIKyqyKNMAXUcGHDAEQ6DI/QABfZAAOlACowD2%20Yz/2p27fWvYFaK/2bJ0SPvL21xn3vDJG3QkkC2P3iS8Q6HzUfe/O8MwKwI62mP9Q223uHUBxKYnB%20vDXQASAAAh8EQse0USKQCvrQIplvFc0hQ51/gCWQcNFtQ6NwDGsFEMC2+DsUQsygOmTevHqF5AkT%20N0nq1EkQK1afPlCEJHhC68KxdUREjiRp6wtJIieJMGDJ4MsXVEkCxPvX7t9NnDl17uTZ0+dPoD7Z%20/Rs6tGdRouyM4mwHj14IejvbtavnxYu7qe60Yp3azp0XKRS0xCG7ZUIBL123arXnxd7UnEqXBqVb%201y7Pd+/+5Y03NZ8TbmpYceFiQZc4ZQWcdE2K9O5jyJElx8XJLm+2EiWwYPG0+cLnC1g+JglEzUyy%20bIdiHBIjZsQgTbRoIfH05sn/xFoNXpwxkYhjiV2XGKAkTlxlyy8ub8mkaXPyc+g8kc7VOT3pT3r4%20Qjjn2rXtVHsDwmrRoCjOFikFuNnT6tVr+7Xu4d4sSj36/Z/vAOX9By+EPq3kwQQTeZyoxAknMEHQ%20qnbqsw8/CCMM6h3L3hlhl9A28+QzLJDx7IIkagEGE3/uwKQSL0IwQ4xDDmFCs0uwKAK4XSCSKIlZ%20XsTimOGKM8m4kVpyCSaZHpSwrq6SVDJJopp0TDon8doryXrqoWpJquSRxx15KilACgWGIYuELRQY%20IC0s7amyO6rYbCcEKI+U86a8ANlPqXnYsQMepfpqx4kt5ZkqAHYCMJRQueZU//RIy+bJK5BdRtls%20UkqxGAVEVfrBBI9hBqwEiDN4aPHFaDbLLDPZVllhhVmeKOKYS0IqbtaUREJOuSSUcm5RurD0tcEo%20jQxWSr1+rXKqqm6QIgjyNBhmi1QG4MYLQLlc7NdfQ8DqKF6P3K9OucIdKp4QCnQCK2c2ONTQcLt1%20N7q8LMQwQ0vpxaKECwZpQRkv/BFhACfsMYAKPQA5xI0YLR3lmIWP+eySIjxMB51vfFQJSFtZ+gKB%20L8Ap8t2gfK2ssXaFfYw9rLbyoh5upIBlrDg0gEUBtLZCeS2temoQH3z4VIpPJ9mBB2RFv82LnXns%20iMFQpdn9I554Cl0X0aHmI//66rrizWYXhzO8QFIN761FlTi8COSOQCq5YQoH9LDDxc0WlvvSC4A7%20FVZ0ZKUV41u/WI6oXbHOSeRgxTX5Ma+8+BKWE2IeJoX0uKkHZy4rp3xbq50LFx6fifL5cMEhq/No%20qec5NOmZ7rlH6nUTtTp02IHtb69DskGCliLuVfgCD0UrIQlXlBkgkGLaiCGGTXhwQAw7mLgE7ElB%20q1uzzY45R28ifqT1YiE3vmUEQgO/ix165mqwfMjE5bzQcAkllCmj2nmHsZsu39Jm8YIgIWYtylQv%20K/iIryYCbNJODOc+w0UJdtHBklz0QiHSGQ50C8SaUR4IiEAkgQlF4KBoHDb/KQw1wADKOIU/WCGG%20AIghAZvYxPGYIBpK0e0zwLnXBaLxjR7Vam8iOY7GXvI9O7CDgAWMS4ME2LMJ9sR0n6NaoezgPnyY%20LyqDC0EIrLIWL7QsCKbQgLNykQpuTEst7kmZfHTyOvpASVwITGASKfiTJT3pgRSSoBvf2C3Z7cUy%20gKiHM0aQhDcQAhF288wxknCIfWAiFVqIgfIcMA1j8EAMOsAX2ELzNel9ZhTRQMcOMbYS5CDge+HL%20yfyU8o54oNKUwOLcTVq5E3jgY3zhmgfn9kTEAVZFW9hyRyVcBrNn0ewqW6kHPbwTAithCYKWwVMd%20qxM0cQ3LjnfkCbaoec3H/1AIEI66RxQauQIkpAMRl7iEZkZziFN0Iw6pOJ4DNiGKafAgBm4AzaRG%20IcNLfm0UtsCeJ3XYN0KMIIhDBIpRgMa59UWmjj/jGU0GqKS3vGkA5qAACTQggjhQID0HClTl7oet%20OC6TQnmSIGWm00YFYjMy1lRpS48ytH9sExDhCEcUeBCBI2SiF4YoAxIGiQgmNCAcJmCBGHigPB4Y%20wwEOiIHz8nlPht0TNFC1hS38ORLuIcdv4CNffs4nNITCFCemJF9ZISM/dxhzcu+pXMDa4wXxTIAs%20cSCTK84kRDetdUlOYcoQnfmkNLp0gYQTLDa7upe8JCgAMcCpIXrRi1/8wv8X6UgHEhYhgT6MIBAx%20cIBSHaC8ppYgGjK8Z2k1qc+qXhWrGRvSFwKapylKR346EStO8EGhuMQWcWqxR6C6pMVmaYECE5DW%20MMuYJDcpqZpHMVyecPncwl6NsNGlYB4Rq5dD2EEMZ2jFAq4xg2tg4xG/SEMZcuCJce5iFjjahDE2%200QMCuAFfWNgFMniHDPziVwc6QEY0opEOBKhWh6D0YUAJFVuyvrI6IWDHBtrQBgIQoA1A0IMB2lAI%20WT4mme9xArUqUQNYzGEYHeiANVxRgEpcDmdjJVkA8LE0qeHJDiRdqALnJxQkKZdb1C1lvPhDsngc%20Sio2kYv7AsBjRRmlQvH/osc8xGCCSfBCHde4xiMe4Ys0POIIONqFIB1SB3fi4AZu6G809psFNKOZ%20CfvVAROygIxnPEPA//ThFxAxAqUYszKxrGIhItwGA+gBCFMwByjyUA5StAAHKsABBlQgCRxMwQAE%20uMtUvNAGl51gGCLQggtqcIpKKEgfa1XxWuiD2/Yp5XQLLan59GJAuyxpx0imk49fXR9DRSEA4puK%20g4Ss0KgQQAUtMEB/NsDgnylluTqribKfZBNo10Tau4I2sKJdbSFmu0F5CUEgzMGHcpRDBlTIgyQk%20sQNcQCEWfiDGK47gbiSsgglJSII3kKGDLLD5zPner5uzEI0vmOQlAzeJ//ZIMnCVpBYBARWDhAFd%20ACAAwRzmaMIEHIEDR2DAESnIeCeokQJLhGE3KqCEJZZxgD0YAQUTaAIQIJwWrABKS5goQA2Y1UXh%200gxlshNiS61La+g4hnCMkcsT3QePKEAtyHKhB38emNLIEGABvFiAEnCQlFjKxSntMOau6FFM57xJ%202kkBVtUGN+1p9yUe8Fh7WN0egg3gI+5zJ0BBAGGHEBhtjxsgQCBwAG4/cGAVq0CCTweJjDSvec1o%207vea8c1Jgf/oJBdDCcJFUlVbLDxEeUB5EDBgBCOkgALJ4EMLSE8BPoyeApToRCcgcIYXoOAArG89%20JSiRAtxjAAU4cIWFgf+wrGYNgxFBKK7K9JGkVwt2mkDn1lKGPhV42OGJqKMa1KKpn6cDttKWwcEC%20pt6MSTRhA3oaP/ugiT6cKFhnXJ8PPdz/fveHwD9V1E4V7W//Y98f/8cGRBWbjvcq2oBDuIEbkLAp%20YAFw+wEOWITBK7zbeYI0i8AsUDx8Q4ZbCDAeOriV2MDhSC0PXIkqMARNeAFKYARgoAAURMHbowQb%20sD0KaL0t2IIT0IJwewBFiLIFUAQSaL3XS4EWSAEMSIE92ANKgAA02AI6ABgt0ZLjQpauo5Plw6Mo%20ZD5Yo4vPcQ44eYdj64oNaDv5o5O9eCbJCIEHoLoc4IVHaIY2UB926Jn/9TGKnlEl6gi7eOAZ//CP%20etA/PdzDPdQOPwwB7fCPDRjEAfyDQYQ7+bMTuLuBQHiNBtCEFfiBJ1iF2fCpz4gGCey3NkOGdDiH%20k+iRHAqSDUytyrsFQoADKugEE6SALYCAE0ADEtifOHiALrooCRAHCRCBWqRFRbgC7+OCIQADEzgD%20G0DBFlC5PYAFSoCFIJgAVwCCAUCRlNGKqkAj5aPCoLMLPVE2AviDf2i6m2gHfOiKRImXMBwZyaCQ%20JoiyGVCHHJiEMAiEQiiEDYiBQmgiPEEUGrODQoC2nnuTGzDE+zs2gkTE/ONDhNQ/QxzEYoo/g0RE%20q9AHKypAb2sAOPAD/z/4gTdYBAfchfrCNzfDt3+rmOEoyeQ4h5Y4BwRgAJUcDgRQSZV8hltABUPg%20gAegxTiQAAHQSQHIAAEQgAcAg34YytZjhFQwglzIBVWYgFRQAC0YSgFohUlQgk+gqxOAABsoRhuY%20ABRIOVhQOQWQgjb4g5WJNs/5HJ+bQmzEMeuQiw1IJi4xl/tJme0Yq+TDD87BAWJoBjmYgTFIBCrY%20gSXIg3LDARxogibQAz2AMAKYxz2px58hMpughz+IsIBMSPzDzIF8yIIkyD+4AWT6uvuzihSRyLdh%20jUDIhkdMAEmkBUR4TUTwSDZLM1tggJAoSSFhgJVkyZckgnVQSQQITv8EqIIQ9INYkIU40IITOAEZ%20sIEXALkwsARLOACTowZG6IQtgAVmZBwtAAZgiAOiBIYHkIArUAJFkAANIIET2AI0gAAZWD0jGEIb%20gAUMwIAmMIA/qAd8iJomSRqXUsu1hLW2/IcgeqgCUAYtGAZW0IIgAAI0aYctfLoIkQs9WAJZUIId%208DNAU0xQqAXEzIMdoIIIGFHA3IEQzQNQaIP9VLZ/CIEbaINAsEyBRMiD1Ew+TJE8tL8/MMQUsT8v%200AfSTJEN8IIbEIMCbAM6QIFO6AMwyADBO4LCKwFP8K9o4KeWWEnhRIBnECUuvYUq8AVfMARDQAJC%20IIQiQIIf0IQGaAD/b2iAWdAEOIXEVZlTOK0DeoPKK5iEZmiGKwACBVgGYECDcoCCFrCBEyiPVmiF%2080QDRnXP5pQBDAgDFZhUSrWwQviceUjLAL0PB8El96gENVgDELAAD/AAXfAAEAABVlCGFMMKKzlH%206IoMPtmApGEfpJkaQzkefJjHeeSBNgAFYAWFHUiEGOATLOy7AYBRGeXDGrVRPcw/LxjSZrWiKpIH%20e2gLK7KHgfzMCDODA4gAOGBNSeyIEriEj3iJLNXNOFtXLq2C4aRJJGACVvEGb3ADOU2AFZDTOd3X%20VfmBfE2CBkDPSZi6a2gGcQgHTxkAOuCDHnDFGIQAEpCAVihPRdCA/zGAAhMwAShAAxOQgReYVElo%20gR2QhMQkgAJtKQDd1MKZw3aQAhEAgcKQhi6QhjVYAwuwAMK4giBwVTCM1aAYv3/wxv6QoAAwHao5%20FD4xMlwNAB6QADOIGl0xBwWI0RsYgEmLsG4MQGe1USC1v3rQ1qrYAIGMVvzb0c/8A25A2zAiAKsF%20AhyQhCXAhXBNAIzkgB9YBSg9giPwgY3kAL/1AwnIgTMUXF4oAyt7hBnIgTf4gTpYAYrAVyaQ11WR%2018it3MhtszZjAjJ4gjd4A/OSAAK4invQCkC4gQJQAEq4ylaEgD7ISSWYhEkYgge4WCjAiDEwgR7Y%20ARXIg2Ejt/skgP8N0Il3kKWUXaniXUu9kIs82QB4YL8/cQFd0AUL6AIrgAEAaIRGqIAKsIKZJQxl%20QJDXiR+Cygm4Gxqxakuw4pwAgAd2KbJ1WZoY0LVCAAM9iAFncLgmaAOKDAQClDCszdoc3UOuE01m%20HUSx/UwCLECz3VEhJYAEDsgh/cwwQtsBkDCJcwQ+kNt1o9sESIJIfIIEIAMyCOEQjoUEEIJF8IEc%20WIAVfrcjyIEZsLJfyITFTYA60AQ3kFcy0FzLtdwcdgM32Ncn0NtFGAJSQIH/yQsugSs62AMKkAEI%20gIIegIJysEHYVQIJmN0+iIUxGIOMoIIl0N0daAEVaAJQqLDG/If/2+rHClLZyUC1ZvqHDWiHP3AH%20ZRAB6aXeCsBe7IUB7bUCm8VZLegwsSMiayylBhmKoaEQQDSl6iipROYcfIiCe7BHAvBVBxCAIaAC%20xDxMR5i0ZP0zAzhSCEvgg6xRQ0zlA17gHU1gsy3IHXXgGygEAmwRWx7ABKblWSaAAjAAiTOHCciD%20FuANE+iDfjADavDOREgEOEgEXIgAME4EIfCBgYXdRXiFIlaCBWgGK2MDxC2DI3gDMliBHIYIHw5J%20/CqBVzkGyipTQ1gFDsiADEhPWIDG9ugKAjCAJggDGYACKVa38XxdJQhGKEgELx7GHmjSHuiBFmho%20Mo60NoiL2lqU/59z47tYJsvIii0JglKVBu0FgOu9XuwFaQDY3jVAVRcgZM3xWZ/QDnSkD3qIpT/g%201f99MAO4acXUA1CAhGA1gzwQgBwQAN9tAhWYWqz1gnx+sBj9Mwc2YKdeZbE1YFZW5c+kZT8D3huI%20agM20ro7hIUcRIHkVl42B0dogSrOgE943U+ghmQ2gQhYgiWIAGd+5iV4AMFdgEmg5lfgAAnQ5rvO%20AcOV4SN4iCfQAU84bA4CB8VWbF8gTuEkzhBchUXggLkiAS0gBRtQAPxMka4IgTYg6jOggoamgjMo%207dCmAhyQ1DwIgxbogwyQgR6AbUTrYglIAZg63vGxaMlgJtxqB/+YK4Ar8ABpsALtHWmSFumSroBg%20WANd4IIaQBOo+1mlMOAQ+DNAGzQ6aLmImwLuBtaIG7RBmwI6mAJIgIQmOIAXEAAlyIEhkOsXwDjt%20noAJIADPfjDGtO9u3NGoXuCARGAHpuX/7u8NKISvHnADd+qk4cdDKISGs2lQaAJJIO0MUARtnroZ%20uPBm4IVJMMwz6IQXwIhhDu0zyIMybIYcGOgM+AHAhV0WNi9e4IUztDJDuMDhHE7ItnHIzvEqQAVU%20yAQFfIDKJgV/RgMoSAFJM4Ap4D1QMIdF213DlFTdDYMw6IEzWOgq9+ebzPIHyAAJkIAdCETcRpIw%20Z75l2gtj6iX/J3jZLviA7f2ADwDpRoBzGJhz6wWAD5AG6UURItO+nyBqCNODKQD07x40KaADQ9/p%208U50V1j0JlCAJsABBZByKbeEM9Bk9hYCAQADIVA0C+MDCVAEWcCB/5WwQChl/Z5qsfXqQwTrp17w%20QbSDQZxH675pDzW3uC1oixACPxCAtH7dqXvxCw/2xH301TuDqTwDFTiDFniBHhCCT5AAee5yDniD%20gc50CaDmFV5hHziCX7DxGg9Od71xcZ/Jd26AZEgGSjDGHyRjFEABH0wBFZDyYRvjMcbYHtBYJgUD%20fb9JAdCADAjKLe/yTyeGBYCAymgKkBlz5uPtb/QKJ0gFELgC/zaHASso6TfH3goAADqHgTi3gmCw%20ABDIhS1pDLt4hzFYACjQaXMIdCkwB0M3dEZXAEefeQVYdJlXAK7sSkugAN54ANjNayHIgCZ9ACru%20PXMgBQkYAgnAAT0oQKwdS/0G6wJ36pne5advAw6tBRzIgzCOW7m2iDEQArEXgkSIBbJfZnCVZj9A%20axZGQ/F6hG2Ie0kovRR4Adi1hBeIgN3YAT9g4bveWx/4hAc4A2qggnCNhWUe4R8whDQgzsZPgzRA%20BTAV0yNYhTfw2wRIgCUI2RQwdAVAua2vBa0PWTIeZnwnBVLoA1IYgwfogzHQd9gHAxIAA1rs8vPs%209YH1vgVQh/8MCF6sqWjdzg89giCNDgecXYOMBwArEIQKWAMreH7iJu49BgByAABBkAacTbFEdja6%20SIEZeIAKA/QpkAIpmAKbx4EJUADDbHd5T8HVdUVGBYM42Em8PsMhEIBEuMmLLYcWAIgmeqaE6aOo%20BYFCbdoQIPBnA8SIfxoSMGBgyhRQTXDgUOHR45KQVJa0oIKrBckdS6iMVMESF5UIERLFEuInAwcf%20C3KUeYRNHVB1bIaqK8OCRYsUZyYpCtOjR54IO4TkOOJj0dVFHASM6ydECJxYfmTFyuDnhyFCiJDs%208qSDCRNNs+okqesgiYNBtRoMModizzJGjDqd6ZEg1hhS5cb/PACTeMzjMWAmP8ggQIIERYqUKJnU%20mbOSK0o+EZNQWkIGCRP+4Qvx7zXs2LJn0649m53t3Lp38+7tW/a7f+/YDQ/ezp2XAly4iIMBwMqH%20ClasBKs+vUIFGM7JAfgQzAKXXO7asStfvneLZhIINDFnQA8QOnSkTFGQwkYPGTb0J7PRwggFMmDQ%20AgWupBAGCmG8oIIlJggwyQy8DNGHAGD0gcZkaLzQBCRmSALGAyoEUkhDG8BjQB5Q9NBEHpKEkYcK%20LRQGBRgq9NDCDip0BIpGTfDYIw6SUNFDLCAOMURnkyyw5JKTOKnkkjlImcMMETbDSzMLcHRGCy9I%20uMMZZ7xA/8UOiRx5pg8+DJFBZQ801pgQY3xlwgtHmXPnFHRopEATBxyAAqC48MHHU1AYemEfiSYq%20RCyIySKLmw9gRoxmrbQiGmetfKIIZhI8oEEcYGhAGSluavCpBJ/g8Bo+r8Hz2z+4wfracLPaCls7%20ueq6K6/t3LqbeewEIGwAAcDTjjwd6AKddNhlp512H2gHAACNSAcADBV84IEF8rRjxzzszPOPr7v1%200MwkKrzXxBRSAAEEJK7Q4YoCgDrCURNNTKAAHfsCoQAOdGzkkYJ9ZIDkJ59IAAYJQ0ggQKQknNGE%20AeYkIkE5BmyQUCEZLMCLEjy2B4k5+ZpDch59tJcHDk2sFP9BLJUNsYiTCygJpZM+lJaBLIwmkggU%20cCQSARSxQJoB0kNMkgMvM+TAUQsqvODDJxFYEtMLU/kwydZbT6LwA0JAQWYeZeOQxw55HMACDixI%20IgkfLXTZAmEQmABMH0GraCgaUIxBwmSWXUYMMUMQ80krxLxCeGkaON7PA6EmRkpiYKABGYiAu+np%20ZImpy2pwsMpqa3G/ztor6rqanluwxA5bnhPigPCBFc0+C61zMAjCHQDNZrutBQO0M0+44fbWRDMz%20TAKFQPDJNx8Q7ebZBJ8b4TABEFIoIAUdKaRggqEthMGhGWYsBIkJfxTShKiejgEFGn1MPAXaoATS%20BjsbSDD/yRBjTOFjvmLUg0P1ADNPwplnPnGkxpAFChFgyQ4koYIdUBAlHEFbBSMYJCjIQgJKyMEC%20mnGNp+GgBXmAxBkg9oIXmABMDxgNZsI2hp/1gEsvSIEKcCg1CJqgByY4ww8LY4IhEpGIkmFMpxwm%20AYcxUQACcFwc+tEPNJwACuVYTB8Y9jcSSCYOnxJAHDKggYd9SoxgAEIhQvCqDeBjdKuD1TvKtTrc%200DFWdqyjG2ODx1i5rlh+/OMf7yjIPbKDV8F6hzsKoAsPVOA50skWtJ7VBWddB1vZkYYuUkGe4uWK%20Ny2YwUEm0YqSvatdZsjeFN5FhzuZgz42kEArPta0a/BC/xE4+EOw7pGrNpigkPEgACSg8IAxDBEK%20pIDCDgQCBD0wExRya0ILMvCJA97MM35LFRgMpQJJnK1l+SobyzjCEQlKokXgZMkAaTKGWBAJDIjJ%20AKeUsCQlKCAMZ1AQDiR1hh2wJAxU6EMNe5CjucmtoDbg0hmG5MMwEVFRkgHRZYbAKQVihk2NmYxj%20FAUMKXKUBH3g4qMeCqJPkdRNYfzYAhQBARk8RQX4yBU+WmXH1xDnjb2JY+h+RchBzpQ2OwUkUAFp%20Hp7ucVd0LM877KEGLkiDktjBnXYEQa0KTJI63XEOJpVBnneEq5O7IYAH9WCAMXwCDfOigwGA4ApX%20XORdQP8wAAE20I4gLOAa6rhGM7LUBAKUBx92gEd5AEsAKBAgBOYpxBTOoCKFDrAF7BJrxXbQgw6C%20SBYA3acK8jA+HeGAR1OABI9Am5F8bQRGcmOsoVL7FC7J7YY9OFgfUjCkFvzQBGCARBiSghlFgMEG%20OJSBDFrQgxS0ILgyGFOY8gOB5Z4ADZQzGqQqY5lO4cQsfvBDAhJQxCIC424mQFQfttiPKMYhVCQQ%20QjlWW1wINJcE5R2jIj52BRJQwAYqsgEB4tEO/ebxH6/yjVdlQ8fiFDJ1qCMqUYOq4Ne1rsHm4Srx%20IixhCeeUN7oaj67o0Y58zEEXXehO7ZwFLUF0ocTBWMP/GjpQO0s+BwSsKNdwAqybP/wPBwbIpwSM%208C8FLMQV7nIrQ0KAHAUAAxgUoIM8XsqOeACWHfB4MjsKkQcCPHkD5ymEHko4BipM8EZ5YBcBdgAi%20MAgEI8yEzxQGMgUcmNkVoBitOMGkoqfQebg5CkPL6PBZc7w5zdG7cRjMMRCNQAJeUMDBCl/wgAUo%20wT/BlZHcklGYFsDhu+EFnBcjpWk/TEYIfRhaBHAhalzAgdRwEFoETJCIIfbBBP2YTD9I4FESmOAE%20JugErqlBCTxfUJz1MgIlZICGOGiABBqYBBcUQYoUUGBubXgpq2hKD1vJmKZ3LI6BUbfTny4YqA7+%209jvC/y3ucZM73L/J1XgwfGFlSYNatbMCDBqBrdwJwgqCkEYHpLHiaVlBF1eAcYF9A48bEEAPPpLB%20qBRgAAXwOJXRW+sUzMCNAQDKC+7AsH8BGys71PQdhSgdPDbgmnYcwgDQNAGOZMSlNbdsCm3ISEYg%20Yb2W56tlKgjDzW9+PRygwJuQwMhb3fou+KQ1lXlyRb543ZEFjQ8SKgDDC5LSAkqkNLc3klEP3sQm%20pFm0c2Moh6FOjYsl4CICCX2JTEIi6lLjIrsJ8AMH4D6EWOAiGcnggyMcMYGj8H3nCvgIBry3B2B7%20zwiDpwAESKEFEqBhpRSoYt+eTR45kofacrS2gwd5nv9tIxiP5f68uIPV09kEh/N4zHavLq56dSOL%20Fbr4wFSxY61qdecDH6gGJnLvAitga94V8MAV3BG641zeNpv/x8vdgwIwCAACb1XA0INuEQPswRIW%20/0M7XpqrWskKHu/wvvdNFLqcFuLGcttB1OUm885yZIJS61IKcoSD8bEZB3rQ8zLfOv3pR88MGJkC%200ulLGGCAChAgDnlPCnTEzeFcGOBZGDiI97yAmCzAEEhN1O0TGvAMZKiITLAES8jNGQxKSCwBHywB%20P7HETNDETXDAIhzBEWRCJpTBL2xDGRxBDrwCHBxF2+zd3h2FKrAABgAKBmDAAOZQClACJTCbDdgA%20BdT/F3BRwhKy10q1gKG0gerEihx937ld3oBlHh4dn+khGOiBXuvYRul1niChHq+s3sXpihcMgAUw%20kryFWAXIm7wBAImdQjCIAzOcguxhi7XoAhe4g/e9Rj0Un/Fp3DtsQBsowBSYgwywSQq0gXykUlq5%20FVpxQxteIWxUmHAQh5PVCmyUByMiWtRMUAosCGchSL78XP4RnQEsRCxaBBCYAR1AAiQADMDwHArk%200B7kkAoAigoYAQ4cSAvsQQ9QgBC1Wg+ggQmMgRLwwgKsUJcsxRCsUEJRkExkDUusRB1EgCTsQATk%20AS7swNjhgh/Ewg9wAC3QAhIQgiGggjymASr0gjwa/wI+roI+/sAPJIAm8J0jsAAPOoIqOEIQGIER%20wIISpoAM1BcsbMFD2sAWQMAW1BdFysBETuRy9QAEQIEV+goino6MgeFwtE6EvQ7xiF5vkMe3tU48%20FBLroduuYBgb1qRN2qQ8eAE3FEABSIEUTEAQwAIEaAGxiYAEiIApWAAINJK1NAvtzaEVrMEeKkAN%202Fsj5E4FCKKvvMO0jYdvjE7I3YDM/QsJZAApwAtavcv+vctCcAM7hAA+wEM80IOsfF9Nxcb3wYMd%20QMQNQIRCDFpGvBkzxeJCFKZFEJ0e+B8uWg+gAAqCNGADfkQO8ZxSyMAZ2I0zQh4UMF6igA8RFcYZ%20GP/E/L1ADQmAEFiCBMqEmOTBmKwQFdRBItiEHwgAB2SAD0hJGZTBNrDBNtDjPRrCWqwCLTzBE/wA%20E6yAG6yAJiynP8KBKjSAKvBBdPJBLqhCMuQCRlIAFPpWE3YnI8BCdy6hRAIXRa5UeULAAH0kubwR%20J7IDXdLRhM0DgzlYSsbG5E1ewNFUS8ZUsMykO9TDf27icQDoTbqDPNiDFxBAGxQAwwXlFpzA4omA%20IoCKFgDDFmxBEEyAKwDBAHCDPbRDPXiBPQyDB3xAI1hLJNkhAHRBMDBD7mGCOHxYvDlHVgbfa4Bk%20SPbGW7bByUwBBTiRCkRPfECCAaCVLVpEG2Afr+D/CjyEwB9MhILK4vQNRPlMX2FKqf991mJuxAF0%20xAFCpiVwRGRaoAWqXJj0TWqBT9+AT0eegQ1I4CmmIq8ZnAS4REmwEAomWgQIgTSlyU7kwCMAahnw%20AjYswCPIgRyoQybkQCYcwSssDjGMxaPEwhXBQTKUw3IlwxYkQxPCwh4oQGAIhmB0AiOEqmBQQtQt%20ARwMCkM+ZH014X5gJHDJwHKZJ0cSVifl6LmVh66O4lHBg19t3uap4a7Eg7Ea6z0EQDw4QzwoaxQ4%20QxTEgzxMa4Hm5ADwpBTUQCpYwxaYgikMwzBoACuwwjDMgSnAAiykgo8VwAAMgDwYKLVO63G863/u%20/4o8dJg00GiIyVsj9U4FSKUFdAMmSJV2XGW/vdgnkkuv+tR/xQO5vNzP0QEaLAy/nJIZGMAApBUk%200MG7UESUSulh5t/+jexhppX/tQyfiBNkNiCg4IuYRmb6JZcPDdChoEH8QIGb5qzc4BDOzZ9HvEDP%20jen8YUQLDAEOcIkFstADJZQl+IA6yAE2/AQ2PMIj/MLUHio2IKocPMIinAUZxEICnBrbCcoShOPb%20hCMKGGAT4hquieoymOqoomoL1EJA8oHdBQEEROES0up+rBSt0ip6+hAB5Oob8Woh4cp6gmTGNZkd%20QZnoER/qjAeA1kM9NGuzRmsUJGsUROvlFkK7Zv/PBIDnUBalCGiAFmjBFuSCNaRCKtQAT3ZoJRwi%20G07ru9Zu7a6ePdiDgLZDCLSDF7gACMjou2UH7V3HiXVABwxAN3QHtXxAF+jCMOgDTcXRws4GSwKW%209m2AAeAiHaDAAwjAGWzs9p4BDlTEFFyi0LnVLI5sKf2fK8jczEHm/GmWOM0fzlFjmAAR+EBBooxB%203gBNDz3FCt2c2czv2TRgy7xIZzXBZnFJAD/FAygJL/BCC/BBTGTjC7xI1kDCJCAqUGwt1VaJlERI%20AsnCqEkCAg5gY+JcDhEgAVoCElKCJcDwC1gCBZ1t2TZAA9TBcq7ACjBBOyKBC8qCCjRk3+7H3s7/%20qhKbAHoOruLOkXnAAz24g4b5J07S6+ymG/G5w4dq8XjQw7UWQA1oqxr4wxzcgSkUAyuIALnGgRZA%20AAUEwfa81QB4gS6pnj5EQT68ZDzoki4dazzkgzMQK4hWca4EFmAdRwGAQFNNkog9FQBIQx+emMDW%20G+xdki7kQj2UZH7OyuHGg1y1w/pErAkowgPsASTgwGiEwQ2sL8mq0rxQD0cAzAoToAMisMpKTf76%20EBTsrzM6Yw+FyQ1lzUeEUzfVb9kocNLxExWCgTRNwmQA1A+d1ido7SMwDw4kgwR+F/MlzALMADY4%20zQKoSdwJQSJQQRh0qQrs4tlKwl+EwR4g4AF6/49k7gE1WMIe/MkBWEIY8NNMkAHcLYIQZ4Ih/EI9%200mMv9EIZ+AEf1FcSJ7ESk+dTyEAh6Mrhms5Q4cZMbnG15i4WX9wbFoABaM8E5MKDEqUGSGgx3AFL%20+4M1+AMehHEBHAIg1DS6teHqzavu7tex3kM+PCtP//Q9GGvqiFwIHKK28ZH3uUMlgIAuZMsjY6V2%20nMKLCkIw8J60VIA0gEABuAModjKsVF5f4YN+tQEoKIArHEAcgK85TAK6gEKhxcf7MhzD9VzPTQAO%206CJHNCbP4VwqYh0vw49qBdEZoOoCQqZdu+wFvQivaRb6lcQYHMwndAbTzIBPPK06SEAiQMUF5f/L%20EGitOtygTjRN8lyJNA5BNkUNnklCE9RCMgMGbCMkBuQdHwzeHrRs3gUk3/FdD6/ADzxBOyICIaTD%20LdwCAlTBcSOAci+3ct9CFaRBL2SCk5CCcelHrEY0cAXwDVj0GzFuIQHocajetDoBeVdCu44xGauB%20MszBMIxr6bpx6gaBukrB63qBt7RGeGOYPdCDhrlDPuiDPFAuUqMefwNCO+SUgccGPQBCSwZLhAlL%20eQxLsfBqPnRA8GLHdUASDHQBiemOB1hHMFwV8FQCS4rLev5GIaX4ktHRUIuyGWysGbySBOzEAuSL%20XtO1AhyALgojAu4tR9ZaL/fyNEfdDRFMz9X/7/zxnP0e9v26JhWECdEsCmTESQTPQFBcg09gwzX8%20hDoIQA3Br440QQbwgmcQw828wmQ/EcS8zykSDAaUkwkyiBFQQxDsASXIsfcI5L4oAF4TIB/AQTnI%20gh8Qwyq8ID4mNCrQYxpUASpUAXIjwDMwt3J/wXI7ehqwgdYKwAmsV3UrcX7IgAlY5g0U2EXrVGBN%20RBssHFA+5OkOgwiIA7nOgTK4QC6oQesWwClwAyY4gbdcXO7W5E0XqE0SsowZR+jQQ4V9W3w62B/B%20pBp4gDQ4MiQ9C7ZEB4dTx1VjRyR7wBw4wfAUz4nbVGzgQ8FxyBSQAkq1jJjCyGPLTZ0NELzn/wcV%20JIVHILk41dwFEaFkegQOYYC6J0ILpFoP/AwUeJoQgMHBf0WnfUVs+gChTm3U2hVQPMAZYEATSAG9%207MsETIC+YIAMlAMalEM/9EE5xEKFAsMJCIYm8MHbzHANpw3LNEAt7IUO77AmrIAO6IAnlEAREAIh%20GPejM/cXDD2lE/0XMADRT/pyJ32lpwFQXIMcKEKANOQJTD12g/oJpIA+VKuBkjd5ywMmDMApiHEN%204EEuuMB6t7c4iEAHaIEymEIQyLG7YCwB3IbDijve5731+soh6YoTVAIXWIAFMK8gOC92BENUUwu/%20BoMgCg/p6b2skPtFmEMbuDUvxPu709nO5v9IOJGW588cRzhCHjhC/BWgMZuMWLVBIDhEIWjvvMuE%20D0VAD8h+qsVmInxabJpzAvwMGXxCDkA8l6uDBiTFxk+A3uEABhS/CvTtcgFDD8ABMHQCBJDqMvBB%20A7CAjsjcAbDmTFwXB7zBGyABQf/CLyz6ojt6FRS3pCPA0LM/0jPA+8M/AiD90U860yv3c3uwHGhA%20rAIEBQgUZBQ0aNAGBEp/3LVzN6BNASlSUsHKtWXOMFYiRLDSogxkriA1ahQYgAmlEyf5nNhr6a5e%20w3bv/tW0+Y/dTZ07efb0+RNoUKE227XLyQ5pTYfunLgAcQUAgA8fKgAI1sVK1gowuMIA0Aj/QAUL%20uoZ5aaeT5lC19HLW3NBGjyMlC3jJ6rEjWQoVKhzhaPIXMGC/GPJgCCPJsKS9GCTh8NtEjwEDbQgQ%20uFEIHjyjaW2yI0CFSoQzVM6cMZFICGohQsCAWc26j2shfcYJecCr2Yxr6rBl2IFhAg4MwCcMNzKc%20AoVkFM50SpasU6cWLSikWHH9xxNPiC4hSvfsFoIqCMST/3L+2blnCJ59OfcFAfzz888zkG8fAQP9%20+uOTj3/eP/HSkINAdTQgaKCBDloQAhtkgECRSTSIQwsItoAlFVekAKIAbpyQxx15QHSHxBBdcsKL%20EUcsSiij1HoRxhhlJKoopJJ6xyGHuLmC/wtptqLqg0YE6QoAr7gCq4tgLAChgIZmhJEdemzC5wYD%20lJghBxQAMycwx7zEwRHEEHPsL3Om0AMIyggoZAN83okSHnY4q6mtm/CJs40ezoiAih4i6MGE0EDb%20MxHXWrNNttX6EO0BJXiZ4ZEhIkBhgglQoBQHFIbDwIgUUkiuEwqWSIYSSqpTAQxDUEGll17SqGK8%20KsIL75n15AMwQPIY+I+++u7LD78v9tu1P1zJq2JA3XjRwkEFCVrQoBOgMCKEhty5YakSRRyxJXtI%20dKnEcElUKaZ26qGHnqLm1KnOJ919V8YacUpKqXZErIELD6aqCgArooqqK64+6NcDC4Zxwv9JeIXK%20TCcVFmimhyZUwEGFwwjzsswzJ6OskD82CIGtf+BhK2SdjGIns5ThwbEmtthpg4oWRjtDzwhUsO2B%20DGQDQwABMhDggdbAIGEMUnqAogdcxvhkCAlSoLS4TS0dztNPS+WDD0qMwLqWH1AZjz3y1isWPl33%20+4IItG35Yu21e/XVvrP3AzZYXv3btYpHlGjlgRMclMHBZ6E1aIJ66vmjqMQVd/EolOHBCXLH2Z3X%20xsp3clHhzDX3KfHKkXoHx3bwuUcLDzwIJhh+yfkKhkYa4aoC1C3gwgIRz7J8c6AK+ccACSJuwhxQ%20NA5kTY832CBOzdtVis7PdgCtBT576GH/gRmweWQGHx4QwAcfJhmiZwHiIAEKCKBIxAQ+I8DlN+I0%20He79Tave2pE99lCBjwb8qAK8scPOtT3D0o8tCIi2tNknbWmDm7DiNiwG5sc8//EPfKrQDD/IIhkQ%20QIgN/jY4CJSjBYuzVo4akpOUHYVyR3lcZ3ASJxvNIwDzmAdPlpc7G8JLXpWbxzvSVRQveKEDpuvC%20B/xVJLB0pQKxA4EHxDEAENXIRjfcyTviwbJ//CEEG/gDPm5yFp4YZYX/ACM83IQ5oITgTmH8B1vg%20AbMXgKZPoTFBMwhEoBxkYAiT0KMPSpEBIZBCFoFMRAQISYUXGKFSiZxa/DY1HK3xoX5G/5DEEljw%20gyrAhwFEUOB8iJBJAZ5NWAesDwQD5MD44Ic/cQPQfHRFwTLEQhZwSAgHAVfLwSkHBTahxwZoyI4Y%20ei6GMPQcDIOJFGF67nI1lOIyYZS4FCJlZTW5wT8wMQwQcGENqduKV5K4Bm9y4QpXqASJboc7ZtJJ%20SrsTWVuihJSZ0Mko71RYFGkIsxZQ4XkReMEZoDADOaiDQLzIwCcW0D0fQKMUDyBFOcpxgkQkYhPp%20e0EuJqCAqF2qke9LgXGM4Ij63S9/CbikATXpyU7qp5Mn3U9JP7mrc5DnpbtioLAwqZ8HylSC+aFg%20Jka1nAY5CKiDk0E5ejABHKXlLEl9pv8xYShDpgaAHU2FqueoSsNzXrWZLBqmnKT0jxDIoxIuuMIS%20pfEB2FlhDdLwgC64wAoUOUGr5sTqXIGiTDy9EY5xTAQv6igHXjzAe5MoaClKQQbDRiABg4yACc5Q%20qkox8jiNbOQeOuqIZSyDMPrjHwI0qUlbdBa0Kc3kSem2q1SatpWnbOBNbUo28igQAZlowHM4WNva%20CjUZ5TBHV9mFTBT+lqq/7eLikklX43KORUv9bTzYIQ8pDIMLINCFLsYSXXCKAAjcaEg9lMsOMx73%20uMqEXBued8/n3aUH/qxjMzLggwVMgo+E3UQEyIBYQpbmBaXaQ6UaGVnJDoeyHr0sY3D/QIbxjBa0%20nwXtaE0KrPycgz8QRoCEVdlS1bb2VuZJ2y1kC4dk2IACtqXl4Gyg23VFznLCVTHlIDdcxVkVvDGu%201+2UGznNyMMJA3BBEKVrAVa4oABeGOd2TxZcL8rYuMpECnkNuYQzvECfY5gBQAk0g4EK1gdv4EAp%20ImGMLm8iAXDw8AveeICp/RfN9hPwMvYgCRbsz2w2jVt/iJUr+9D0PAkkqSZnesr71A1XZcvpEfhA%20WxGPGFrJQMMUjnwTzy0O0sSlUaSdaTLxInmuwA2uMMXIFH2ACET3qMfi4BEPOtUY05mmYZwMsIMW%20PG80VAjDGLDR10dIYC4FfcOuI9Fl/2NsYhO48DBzqHGAPDASzZtSs2Ux25f9heccKn3PhBkQ0wnD%20VKcI1HYCO1sfOV9YgKssZdoQcIQGePjQiIYWFKZAkzk1zp2UjrSL5Q3jVIc3ct2NoR0+thSXrMhw%20DsGHF5MS3HurWieZedkOXvC851EhDxroqxywsYAcvHcSi+AAGXxtDFEAuw6bqMMSgH3mZE92Dx4N%20QsrdDGe6bRLmefaVzGmu5/kES86olGlrc4WrV0hCBiFOt1BlcAIgKDXV3z34VYXLQnjP40bv4GXo%20uojCo/b20kvP3KXZYYBXMxyfVJAAXycOqYvD9w2E9bUoIgHsBJB8BztoArJPvuwgLP/DEap4M9jW%20YVK01TxuNqePngk/UwwD68/GIs8t7lyFVUhiOenuIIOgcHQxnhi8Wde68vLt6HxHERArA92c8LGB%20k91uXY3bPDPFyw49jAbsz5vEbqhcIHXMoKBZ9sER3sDxUrBdFGwXeQNMfnIAVzYIGFBFAyp5SQSK%201pNoM2n0G4jKXN3tz3IbVk6PpdMvVOENQBf6oYVqPgO8mCeYD0paQCcnY0a1hkpfvQ0LPmNK1yME%207maHHaI6DxcWJR7igYwazdHoZf5yp/XwwRwS4S4aLgJ2QAJyYMrUgfYA6hEmgbC6h/dK4QmCz+NE%20gcvqoAEcge6SzX4gCQOCwBGY7wf/ioWlPAkGO0n6ZlCV6Oz6GEjOhAXxcjBXGE9YwA8Hgk7yhMoE%20IOD8Kg0tZIQzaML94A/q7O0A6c8A5a3S2g/q4M+dAtCdbCL/nE7zojBGHqfgXOgPuq4FTAAMnicP%20IuABCIoXHgGg1OHsmoEXumcRfGDLSiHtjMHLIoEMSu59SrCR8g4D+MIRrEEVXOEBqsCT1uHaIAzB%20RIk+VqulKhG1LjFAygZXGo8D+EA5bCAZWuC2GARwHKQH2qDFvpCZ5A8Mtw4o2u8e8sFGoOqY6mXU%20qNDzWnHrFK5y8AFlHmABqqcZfKBQvOcTrgQbBKoH8uABhqDihqAUhMCwSiHL/HAT//5Q5OYOAwSx%20kVRBFRZjOIJgAgQgP6QtphhMBt+m+izxtAQIguSjP4rlbsSDAxwh8kBxFDsIAvYRAqYHFVURqwBS%20F9XiC9+EivIhCuAhAILJqdghBG6RCo9MIAeyrlwIeWwEH9KrjrBEApuBLmYAS8CgCXBgkBLh4gRA%20NvxADwvLsLBxE86MGzelflLAEZRPFZogA1CK3IYF+kyrV3KOHSsRglALHuNRgqqAAyRBOUIxFBFN%20gybPH9doIqWIFSnySVDIJ36LcdzPDlwoAHjJKjPtKMoQHprgDMBACXLgGgpEDpTAB0ByEnJADhaA%20CkBBCJSgT5RgEh7ADzKgJf8w5P8IKwI2YQmCw/gGEQNSwBIwoCbFMSdhkIEWTKV4haaC0hIdDLUi%20SB51RTz8wB6FrgU+TB/7sRRt4J5QUeumMix7Aiuz8h82gLnuhE6YECc4bTWZznMIoByU4BMUgRdq%20Tw4mgXs+8hEWIA+aYAgeYAfyQC8NhTVSg5D6cghigU+Kz/iCwAgswRL4whtZgANQalfG5uYg6KUQ%20Dwctc/vcER41UTPjsQr8QCmbUjT/plkepLZaQAYMQOuq8jYJ0uCUKXGsxSzMJQTsgJg+r/P6813Y%204U6SYgMMoDJAYRII5BoqbpDa6xMm4QJBgQqEwC9wQI8eYAxiATViIQESgJASawn/8iAPMuUwN8UI%20spMauFPvcpK0zGMSSQkSD2gd0XNuhhJIMwwBGG/xPHM5PkwUO4iWbIASUiBG+WkKoungVFNBOyO4%20ADRx7MFbyOl2YIj/VoxKq7QAoSkEkAJ54kEFciYD/CQPqKAZBWAIsOShRjIPMoAXlGBCZAEMZIGQ%20FIs0GC4Fis+/0MwIqGE7807vOIA8YaUXVuVrxsZHIxXDcKooNZNY3hMH7rEpJw9wnNRTeqAcpqBk%20ki5Mq5QdmMvgxChAK6EA8EAZOiAYioEZasALGiIEnpBOqqotkktMhwKabAQeNgCapsAsJUAFyCw0%20foYDLI4uUQMYeaEVJAAMxkAW/2IhjvrknsLgaQTV+GSURr0zPs4BVtKAXF8FbDATEoFSUoHUKCNI%208XblFvwABY5UFEXzIJ4SAk6AFKCgHPSATtRIxkpVQU/1Su0vF1jButhKYUVgCwYAJ4QVxZCpXnqV%20IBEUKfDB66AgA0BjB57MDz7BD4bAAi2uGS5OEVCyD9BHT0rjyVLgBSwhDKLmRRnTEbRzMVShFiTA%20P5AlDa6hGbaBDdLgFmwFBodSUilxPeWRPXMFFRIgBWAhxEJz8urTQdAgDqCA3fZTYPvTu2bRRkKg%20HVLECQrgCqbLAqShC9I2bU0HBCxADUCkHo4KKb7UcniVYuvKYhnU63ogA2xgUP86VAJWg8rokBcW%20oDd1pg+QRjRYlsxeIAX2a2aHw6NsljFvkhiOBVnYYAbAwA9+4VXAjT9KS1J1EJPcVWkzcUhjoQU+%20hYOk9l6fsujQwASgwF9T825fpGuRYqqEtVrkIRe4gLqkwZuSqAKyAq1m5wqUoRJe8yzg4QqRyW5v%20lzXzFh68zgQyoAX2CTQSYQh8QAjicAYKdxIUQQJENHEZi2XPoAUsgcwsQWb7C8280RL2YDGVDzkn%20bFzZ4Br6QQBcZTz2rM4sjB2LBdAmKB4FzT9uIQF2IBcoYDo+7F4NYh8B52j0kz/p6oKld7iqKkTk%20wQV0AQSkwQqS6F9KOImkQbr/uuGHioIeHud5kyJ6NXhyVOxU9aAF+DZ7z+B5hOAth+AImuERxFcJ%20JABo+qAPTGBlGbd9VeB9YZRTJMsbw2A7JbcJLlc8kKXKsCFow4OzitZsRFcoZ6p0k/aA+4MRF68H%20XiA5ohaCD6JZNEgGpkc/cUKekGxrbxOKLOcG3OF3dUEc1oB4veIrXmdfBEGtdOEEuHQmXjgnYliG%20nc5ibRiH94nhePgRFkEIFgE3cmASPkEDguZ8V1ZmDOkFspeJ0WyjMgpR7cd+hoMF3uCUeJYNgvZz%20RVfQLvOTbuXw3DXDBK1sbiECUmAL2JhTX7cfe0A/71hhMviR4yopqqUAdMED/7ogiYwkYMICBooX%20SDyAC1IBx5zEyJR5IMEUKST5AXL4jXgYGzggAoZAAt9LET55DEK5NGQmexluB045cr2RlfeAMSdA%20USkoc9mgF24BbMCTP2pqbj7JliUIk5aWPREYAQgBF0QxamUAP1+3FB8kKsUZXjyaInMoKWqVFXRh%20DboAdq65KipgYFiaKroAnFTCXIrs0R7ZNTWtHcyZCizhyagADHwAG6JxEXLAI3lTA6YVDaAAiR1E%20FKfD1eKuiU9ulVk5CPTuDRjgsxgAVs5VdHsuUgmYjJPWl89VVqiAAraAEj4sGaClH+GYo2XgHw+O%20mWWYV3MCR4KAdtZAkANmhP+TyHjDIioaYUlcAGHA2XOYy6atiob/wYbP4AFiRn134KcjJQI44FEW%20QAkUIWhIIak16AwwejpeLQV2QBKi+uS80Qio2hFemQhsAW8MeoIqkyjpzLQsszLXsyhx+/oougUs%20xEEgGKhGbILj+AziekoTG7lO7R9wpBWoy1/AokiymXiDoa+7ICoGRgR4hBvkoXOoigCR2zUNgARM%20gATw6wHVWaglUI+GoDXGQKmnJ2ZSYDqq5mkUgLI45Thi9L8+ag+CwL8dgQ9qAZZR9/pICbcnUaID%20pLPccWcXD0dZqQpQIQ22oRmaAQSAYQtsYAtkYMO3wLcT4qekJRmm6ep6IiL/T7ze0OK7c/VKW9zF%20X7xgR2+5QWe5a1z/YByY7ACq2sEJasB0tmIr+oWEuaJIirevW+d11MoFuPtNosiRwXvV2qENlFoD%20zsASlrFDF0EO2LkUHuUIlKBnSCCUccE0Xy0xm/RSFMAIUMCiLCW//yu1+zv5GLMWVsEoE/wLngGn%20iOUny6bOjgXCevLPuy9sWElA0oANKLQftoDRGZ3DH4QfIX0fk+EP3K2OTQbFMx39TIY1cdzTP91z%203M3GR13U+68ru1KGGvKFiEnH6UEe5sADpAGwqYJ4A5ubYCArWue6u0AX3KodXAiGVxzKTTxPIAAM%20UOAFTKBNhWAIHoEDmF29/5UgA8wXaabnDJKhB6aDgywBBfbAviuKsjRlUBOzEFVAsiQhDwa8CiDR%20z7xt5kbJzlYqk9ZBk3ruwXslzn4Z0dkAoK4BGAzis/VET2a3NADlDBIBFwoBqhbSlxp+4cHUYiMe%204uEt4tVi9C4e4y/e4pWJZNppVIeiyP7BHezBAjxghL2CiIj3dQCGeKuZdaxgrSqhHcqUXp582Hei%20erNXANDgBXDgLhIhAzgANTggB3LAB5TgAajd2mPG1UxTSxQAByxKARQAv530iRsJHOFHEgTcP87x%20PCuswh4xzkKr3u39bW5upcgDHPZd0eO4B9yeZm4YiU1DTxJhCWLA4fP+4f/rb+Il3u9TLEGHIuMH%20X8YrFp0M0GSOSl1MXIzi5HHaYQBCuAIaYWCsIJtz/V9g4AOwopqhuwJQuAbuocl3Vdhvngv/IR4M%20IAUoIS5JIAzuQggygJAiwAeKnmnAQAPmee5DsQVUQBSfJs0pZeonoFNswAhUYFBVQBIaQBLCBN0b%20oAFg2aXq/RJrGzMHuMCznzIVD3MlfJYDigTe/u0PYvyRpuChoAUOwf0Mcv2b8NPd5U18QtTnn9RH%20yP5JKEdIXf8tXdMBop3Age3qESToLmHCdk7U6OpS4QMAAB8qWLECYyKMjYIsBqsAoxGAjV1AzHHX%207t8/dipbsmwJM6bMmTT/a9q8iTMnTHgrDbxQseDaglY78ggRsMiHjxyTPmV4AObBmD49elA506KF%20jB4tUtgwAQGHgj17KNmgZIRSCiMYVGB4i6HBEkl0MUjK0+ANAgYIzhEhwuAcA76E9w42jIDIl8UM%20vjRG8GUvgsmUK0OGvDhzZMtVbqVJw+bRjBlKgMk4vRV1DxlnqmbtAYWPHXbvaNuujZud7t28e+t+%20p3MmbuH/gBsvjvx4O5TMlztv7u649OTID1o/aNB6PYPbBy4c6GWOLmkSJ36AUSH9yEYwrHzosiZ9%20hUbsG1nRJU7gypgvg/v/D2CANbHTRgthXMHLNTOEYUAescygjhwzZABG/1RgkNAHFD2ckQwVWWXl%20FiVnUKLAWBRAcAIFexiRggpGuBWGixMEEYQaatC4Rx6LVEGZZj7+mJlghA1GZGOa/YXkYpfdggCT%20t1SBSpRRptFLL5lk0swkioigxRYQbAHmFqd5KUOYYKKYAj3vpCRgm/9cB2c7AcxJZ5123olnnnrS%20udxCCXnxXKDMKSTocvY4IY8T7sjjDibKPGSFRhupNx96FQQTjCBrVDTRRBXoYgFKNPXnZqmmuskT%20AS28MEkzCzSDAz6FNMGLHHI0k0gsUl2Y4YZXteDhhymksEcYOKCwBwbEqmDDsG3BhQGNNS5z4zIK%20LNJkk0Bum9leQjYGrv9j4jKAJJKPTVZFuumiQggiiNDyxA8raAJHOeUMc4IWuZjJ7wmmQACBFiRo%20UY4jIbwJ3Kn+xXldAFE8DHHEEu95p8QWS9wnc14M0EYBHX9cwAAGSOFKKkHMOMGMJ0+QCwTK5HsC%20CSc8akEX5klkUQUAgASDIIJggskp3XSRUUgjeXCFPAbJRKrCTj9NU20rtWGDJa00k0MzTWzAzjyf%202KoEFGOAMYYsY4xhQms9JNNVCypkZUkKlKAwwYsopPBWC2qxRRYKKOygglsYoEBXLUhghoAttgBW%205LkIPFNZ43xZlm2TUVaRBipU9lJGJke8Qowf5SSTDB+OnM4HBZR0Akz/68BA0AlYsgPTRx+0n0G7%20CcBgaEk+99zjez7C//678AodqlDyyi/P6PKLygN99O4g2vz0+tiznTv1hDDAAAV8Dz74p9SABx42%20lq9G+ea7cMcdc7TvPvzFFMMKKyLUv6UGIuyvgRb+/w9AMMEiZSk7mQJUJgUgfE9k3huABTxwEfNk%20xCKN6IIgNnIKQQTjFNVYgyDKYx9d6CIho4KaCU/okql15RPN4EUzUBAP3UjAVgsAAxTOAAUwkMIE%20XDlDsDz0NgrILQViccvd2kIBI/gNWRgwwh4koYIwDI5wkmgAEhwzmL9IrjCTm8y3BiOYc1SGR+pC%20xS3AgYRV0EJemlhC/wP4IIkWLIEKS6hjHT3UCdb1AxhaeF3rbHcGahwAEmYwQxsOwDrbmeAAziAe%208Ig3vN8pb2Md85glPeY9OqTCCAaEhQEnAIstaOEEMCulMrSgvy2JQAP2ayUr5ge/WLqvGy5IX/mY%20ccv0VaMGpwifLwdwgxvQIwTE9MJ2iGkPhDhHIIQSFHQW5YR8RFMfTmCFLqxAHwCIJCIA+GBGPoCp%20YHTjFMGwoEhEIsJ7uGMmTUOhO0sltXa04QxW48UCeBEGfOhzDBF6QBPG8IAzpICHZziDDYKVlWG9%20QG6WmAAO4MIWDFDABkJcS992gFHA0aUOtdCLF9cBRiKJcaSUgZzlbv8hJVRUiXOdOwIxJEACZSyj%20RgrAwzKYwQhmMOOmOtWpC9h3h27MQahDjaU11GCNpCbVlni4wzA6UIwOsGIY7ivGHExR1WHUzwL7%2025IiWrHKYYxyZqUU2Am2EAQFpGJGqVAAjdoqBV+GzwAFqAT0gGePvNrDC16wR0K2A9jshYAezGzH%20mvRDD3io6R3Ocwdfq5coOBF2su0gLMOyR496+HVQ7shHB67pnk5Z6maCgM8GmVFObU5QF1fQz35g%200s53yhZALGmHqlKgCF7wIgco+Ac+/kEAHhKAHQZoARqg0AKs/KoFO0gBcynQlWGhQAHPgosQ6TYB%20v60oD0WRhCPo0oD/BhyBL+fgUWAO05dnfOMZ6WDvM55xC/i2y12rqO8PfiCLBNhLFrLQwDCGIQ4N%20dEDAHeiAOA6MYHGsYQ31K7CDBQHV992hGHeopfoufAeozq8Y1pBryAbgBUBkFnmIcoKinrcoFEMv%20IYwy8aGc4AUn2INRwqux8KTH4r1Wj8U7Tl5KKitiw9KDHi0RcmMVgmOBZEcglmWYk9vBqGXKQzwQ%20ySZIIiKR9oTTBZiwgHw+IJL7iEAeKWlabGeL5pzEs0CWyO09VcAOrrUDHwLRzR9wQNCsvGAHWeGD%2026JLCUscEFpvEaIR0mIDNMQhDuJwsKO1wAo1roIYP5g0MYjBAREQ/+MVV+B0Kz4tArAyeMMUjt8c%205qeFO4ApFzIwxZnEtIVkiCkXFMiFIA9gBgO0gQCF0Ic+hIeoGD7MYQGIx8OcgY8oQKJ2aRPCAeIB%207Xjg4x5RKLbDjm3MJw+kHl7YAKAKS5DtXTYES2bHPfR5jzpHe93x8J3zgOfuhLCjHfOu95zpbO8z%20C4dNa2LHkItjWDa5RDf/kMcWuCCN9KAHPRShSHqkEQxmkHMOEPdUBbqgi2GsczcqcW2aP+6f2qoq%20DG7mRQrivIF2bOAP7YDHH/DBDgKooCpY4fOHVOBcFhFxAoSWKN0OaIQTQeCntGQGLX96hSg1Y6XN%202IbTm5EJELzifv8UtoY/8FCDq6MPqUHIRS6sUSNrfH0LueBkKlSRC7SrIhXmiGsgAhGOuAvvYflw%20Ro0vJjFq5+MAzDaBCcwQAGcIftgRI/a2AavtbTOzO4lXcgjo3Y540Fva+YY88NwBb8EnhHidzQe7%20o51vaf+2JfTQd04M23F6s4Mn7agBFzygs22mRyIVscgpBrCGDkhDg134gBUqIA0uWEMeKyH4mwQO%208uTbRGrxIMALSG5PXrzA3pBnRzwCoJtCQCIMBV0VH/iM8xbETdA8JzQFDB0EFASBLJawxB7w9hYj%205IELmSsD1DMBOlmYQhX8V4U5zNEEQAcLFNB+KvACB9gJL9B+1PD/AtQgSNSAAy9gAkLwABIgACbQ%20BlFgWMS0ZO/gge8ACIDggf1RG/VQeimxJoT1DjcwASlCAScgC+bAG4tlWO+gJkKWMC2RgzBRGwEA%20D3YAD/DgG7oxD0I4hEQ4D/OwG3ZgB/OQG12ThFGYhLdBGx7IhLmBhVRYG0lYG7pRJ/NAMVN4hFC4%20G2A4J/PmBQ/0ewqnMxihMxZUCUCDCU5QWoKwM1ZgAVxQAKrHcR6nfH/ITm+iKijgZjkQBvAAc/gg%20edPGDvhghASCAz4EIm6Tc8NyQI5gfukXBIe2B3QTRW6BiZgYBhmwRgmgCQ3AAubAAqvoCG6Bc2sh%20LesXIz/Rfu3X/wnUkEcm0A8C8AkLcE+6NQMLIAF9cAAEEAX3EAC/g4IfKIIeqIO0IRMB54GuUA4n%20kAymUA5S8A4h4IGLJR1r4ow7OCpHGITYN4bneBtimIW44YTtOIXsCAhKuI62oYUUYyfnqIS9YYZM%20CGUi4AFdEClYVjQThCkM1gHBsAaZ0nv3wQVOYFi8cXyAKJEpxBLzRgCUQAEaYE8LoAIoiHwqYRwG%20EQIGkAJQYAM4kFDDgjcTMBZGkF2HlkQRFS1NRJM0uSIu2QTZRRYPFQYtEjiBMyyBEwYx8ok7cBU9%20kAiJQIFQIQELMAO6BZW6JYxDMAQPEAbDtXowR3DzxhMxMUyvVf9kRBYCKUBKUCA2BlB6YCmR9DaR%20gMgbyxEEXGABqUUOjSAfd3kR6fF7jSARwWABuqAMiHIPHNeWbVmRKmGRqqORvmgEqId6M7FtBDAF%20MweUKvkWE9CJmJksFAAL8YcBBeQ3g+NETaQWopkCcfOTqakCxxIjLWADVTE2UfEAGZABAvAAAvAU%20Q/CLUalbkzAEGTAESlCVO9AGjbgb+jRvJSQTYokBUHACzlkObSCEaimRpleYKFSRuuEOlXAFuuBB%205AAA4Gkpl+IRF7GXE7EGIlQAJnZuxned1bkfFpkCGbmRHdlxo3IQG2AATbAqLXJ+n/mSaaFESRSa%20cOEsa3GgPhn/BiiwoMaCA7OYXDhUOxUymxVKm7gpABiKm4owCbwJlVNpgVRZlT1QCFyzG3z4JojI%20lu0kEGP5nM85BsWJmIXJlu8Jcie6HMoAAl4mEpKyEZ2iTZ4CAx/wAWvABR2AKI1EmDaqfIe5Eral%20FhrgiwtgBAnzkTNKEPOGD87QBGHwAhTgFhOQk07ERCxyaE0UUSoJf4LDoEG5UC3gd4nQB2PzALN5%20obhZm7Spp3kqABaYAb2oWy3UDC3EFCKKmxIwBJ8wBAJABcXZiI7onikUjf/wByX5olDQBgljnWm2%20qUyqMNk5b05QCeIAArsHnhNRH53ie+Yxe7rABTWAKJi3pJ56/6PxaVtCpAEg4Iv2WaOgqhshoIjW%20N23Q1gaBQwcG4AoUMAEpgAIkczfN0iItggI4sJoMCpQHmFxQMKd0aqd7apvdiqcSIK4WSK4ZQK6A%206kLp2puLiqhDMK68qKgRYADYd336pJXxCZl/0ALPCQFm2QYd16myVaO0Ols4ag+uAAK6gCmRck5B%202qMUYQXBYAXBZwpRdn3mSLC1+hIWqRZxwAuTsAApUH34+pbVJ2wwFwU+gQYpMAUKcGjIQgkxu6AP%20qgLWmhWtAQVocDayuacSUKEaYKEZmqHk6qdCK7TjKgFK8IuCSqhNYYF9iqif8AlRO7WJoAe8gYhB%20GKkxcQM2AP8FAGOWBCCphpmxBUtwy+EEOuoBEpsRPdqwrFoBHgACrGBXi3J9MRCwZfuptkoAaxEH%20U9qR9dYbPuiD8xYFGyB4hUAAbaAHkBCBWTFdKCB0YNoVB9gaEWAC20qhPYunT3GhtUm0Qvu5UCsA%207mqopqu0gaquhSqiIhqiVCm1nyAAQmAAxtgb1NlxBGADzykD/Sq2b5K37jSweus0rsUbktcOXjAM%20rLVgEdQp2XQR4vCXrCAFydtyeIuxRXalxGsqTsqxRvC3vogBkacbfMgOPhiEbdAGZuC4L3AGJiCn%20aNMV0wqgNiADxQIBZBObdUqbdmqhezq6tSm6UEuuBFzAfYr/wIiauoOqugvQFEOLtKb7tCL6CX0A%20Cn/ggzG0tbnrtRCwFT3wu//QlWTLvcXLJhCZvI5lTd7pezrzvBQhDRYAAuJQACiBPQEQA2dIKn5Y%20wqdymClXqSkwDB87CWcgEDAHD4VQCIwLCtRKBTzkd5mblLUzpzGCXSigRHiDAn1Qp7MJBnrarQD8%20ueaqoQaMtGe8qGlcun1KlSCrrh/qA4rqrmeMqHWMtIoqBE1QCBAZhKlnW70LBTJwAj3ANbj7h8Pb%20w06DwsvhBcnABVwAKgv2EVawYK7KBcNgAALnhWfINIm8txX5eF1rBCRwTwuABgawn10KLGoDv4kA%20BSZgllQ8/6e1MwZSZCwvicUYEAZQ4LndGsYAjKHiSsYJjLQGPMeIusZpLKJu7KEOLLvETLTv6qfm%20qqhjgANY6ZUp0Qb96sFVEQJOWpjB68k4kZ1dyUzyUAAW8Jci5AHt7AGuygqpoA8ed750Ymbj7MPF%20d4K6awQawMCKoLM6BAa1Qwp9kJRQ4MpoQMVTcTYNbUQp8xZ3s6BoUJt2mqFirKcSYK4aPa5kPK5U%20Ka5zLMGmq8ylm6hKmwO8mQML4APuisAX/bSiS5saXZuK8JtgYA5t8FuNyCbtYAAAsxo39M2GrHyI%20jM9t0oXGN0yEtRIDkAsa8MhccAUisAUFkG7/YAcbgJj1vP/BG3zUIfda8tnPrjIUFUICrwwbZmmW%20SVnQfUAKDS0EZHMhUXTFzKoCxQIFnXvRnQvAHC0BHEDHdTzS7SrY7dq6sAuyKa1bKe2LSiC7RZun%20kb2n/lunURsLU1AIifVjPj3Ip4EGLdDH4uxOov3VnUyEOVhZe5VXJ5YoiLJX9VB8W63DTEPapT2j%20LEFnN+A3JHAFraAEGgABZwABPQABsKzWOZsIaKDQBd3QFVIhl5kyd4MCgYMCFN2/Y0zTPVvAgU3S%20hQ3SI+26iO2Li21PTCGcF43R193F6w0VdaoInyALTcByB+PTX3saUKACafmeRm3bANKFP9gf1/Em%20TA2w/QH/kTKBff1NW69FZ39ACYIMAWigAWAgAy0w3FWB4VXxysel0Ns6NiRwIYOTMsdi17rMy56b%203uY604GNxof93d4d3oma2NE3pZMgnABsoey93vobmxQqAYrwANcsENs83DIABWEgNTZa2wp+28UH%20D8CavPqQbvrxY4qlEvCg1Vvd1efL5P9xmPDQDl17AmhgA5IrAzbQAqrjFR/cA8btnDnr1mNAAnIO%20BrIAoNFds9Rt3U/Bvxh9qNCMxoI92IY92In6CUpbylPqzNmt4xZSIWMjNmAQB2NACmhgL2dDCrJQ%20pxrQBAZABx4MMGiAA2FNo0ve5VLjq/cAbbsxJ0o4D348/3Dz9pH13OXB4aS5bQS7CwGhOZ/OdeY2%20cAasgeEn0K/K/dZz/uF+M+LTPd0mngEagOL8G8bBHLrcXdgRbMcibehKALKK7outoAg+u+MPEAfO%20zeOYftxqjeHlAFCy8AmkYAOkcBo9IOphvb3JZ+pdXpHT2YjEY47Yh7HgpuU8TOu1vjAiN5Rg0Axn%20wJ+AAzgGleYT1bvE7pxjjgakgPEkIAsnoAIHBNF27Tcn8OzpHcZ+7dfsGsHHfMbhHu50/FVXMAmT%20wAULMPNcMAngLgFAWyGyoL8kQAIYr9wV75ygjhqnQVE2gCIkoAFkPvFoYA6jt9/5js/AYX2SVxwf%20+CaqHv8DOcwOj9faTjCH1bM082AHcwLmhMIOOWzwAdIOhXAsGTADzSAAjhs4C6Us9uvBpwEw/UpK%20yn3xMsOs08pzSjRFUPAAQMveKD7TG63RZvzRKk/H7sryPy6uivBV3B7zMX8FShDuQBsHsoDslV7p%20aPCiAGMDp4/6p+9c5zcs55e/MvO1/fr0nir1nkz1kWf1HwgckYeMYoC3hOUEqaAMTzUMypAKe+gO%20wwSGTRgAGUNvOLz2/yEQf9AEOKAB14ANCzAF1d8EP9H65zdReL/3ZWnxHJ9ddNNEKCDiUADtGoCh%20FX3diy/GHM34LE7HGpDzOY//lt8KAHFl0pUrSlopkvD/IA4JEqTQnIACpQcEGRVtXLTRgoJGChs7%20UkiRAgOKkRNkUKwo48QUeP9cvoQZU+ZMmjVntmNnU+dOnj199nz3j108nP/eHQ069B6Bdu28VHKh%20S5cFXSCkclkzp4a8diHYBbDDrqm7pl8D/ESbVu1amE3/NMGh4dGMHIXa6AnTQoGKkCko2JBhAwIU%20CBDRHD5M4kQKFI0nYBApEgWaB5UtVxaQQbPmzBI8e87wWfRo0hI0SBBg2vTp04oUtYJ9EKGGOLIc%20Ep4Y+KLGFn099jWCYSSKCThIGlFBITAFCBBI6aEnlO10mjmpX8fuM2m7ePFyIk3avd2fdgVagbDA%20xYK0/zXiqIJQP8Hdv7DsxLYjizPA2ez9/fMcr4kwNJhhhgW8YmeKJlrAATK/KlJOhomaO+GEw0iB%20goLhHmNsOCg0yEADAUQUIDMQT1StxBBRS4011VyEkTUNZpwxjjhoPE0CEVajjYSHmguMN79CUiG4%204YhrrDHfTqqQlMJOIsVCA1yy7j+1irIyS/+aakoodo7KaSh3nHDCBQ90kaYLQT6oQJAKKrBijS7O%20dMEJexAUqksqteTTP++6gqSJMRZYQJEN4BnqDxyMQ6EJBTh00K8WMALMBhQUUKAJVyaYQAEcMpUB%20sT4QQ2MMU8FAtTJUSRgDVTBIiAOM2mKdVZbaGCJBFv9ccSWlV1K0IAVWEobBVYsKl6OEyA0/7RRT%20Z3GYQMnI/LIBJMgUACzUwNrYs8+fqvQ23J+4xMm+d760r517nGDGAhDWkPMDGN784INg4FwDvi3s%20aSesPNvpVlyB0YKnqRACJYHQB9iBZwN8XFIQAwXocIUkkhzsCKPAGlXAlU0naKJTV2QgZQyG+iAB%20ZVL66JWhVRtiOdiSG2LI117RcIjUCissrDkKC9v5hOYuosCIFPZIsjiQO4UWWuFC+qijHjJirAk6%20gPjjBhwuOmFSbhkeWCcswyb7Ji7tmyeAedJ1R55qPAChgi4+EAQAABqBoRG7AXgTALjxcKIeL63j%20smz/w20aD4cUBJihGSUQdSmEf+gBogUZWuCLWsAohKJlUqpljKTIRkIDRw0eOP1E1UMM8cQQUYcd%209jgUslHWV3FFQ4vDgja2QmN9hgD0FIzYAwMVRvKro2ROgmCiCqcu2hUg2rhhA3LrUaE5J6EgQKjo%20wD1cuvAPJxdttdOtxwk0pbGigrz11tvuegFofw1duJCiHUTtc6nw8cfHSTvwEQYMSKAZzViY5FoC%20sH+0AQWXI45vsgW0XoGkBY+BDAokc4LTzQ51qTsd7ECIutnZaCEL2RXNbpa7nQFvC8ADntCqBYvh%20Dc9oIZmUDJJhuZP04HIYwIE5gBCIG4QgOjOJDg7Q/9ADiXAvTP97ydigKK50Fe4racuJF+LRAQ9I%20g14wuFsY4VeB+MGgC7oQRyUAtjY7/KMd/Jpi+JqCD74YsBmyANsCJfePDdABMCloAgoydhKVnKCC%20fmkMZIQzkhMoRCG0eSQJHWlCFKawITkLGs8CA0OfdYQSFKAEJYxghEdFaw8pSNYnN6cbH6qgCeYw%20APU2YESAMZAmAGtCOSQkkRs8MY7giyOfqtilr8QgAPeRwhU80IU3WWFvYgTAvKygtw+sgSpBWCM7%201vbG+QSzbE3ZQApaoAhe8KIcRkHnO2wZAj2ooAcUgFYKdCMDKBgSDSDR0HE0aAQUcJB2NqINJW0k%20LP/cISZowKuIz4gWtWSNEgN7GGVIRvkRjGhEQhkJAw4gMQUi/oGWZjuiTADmColMpAe9FB8UpehN%20LR2TXEIJgDHZMaZigKAL7YOT+8AIg3nllIwA+AAAugACcThBf9oUC1lYSrY5tuAM5ORFMr6EzpeE%20YI8EwAEEKJDIv/jMIfhMpEiC008TyioO/agk7nT3kBYKDSVb0E21qvWRT8LiSBjgJwpO+UlPZoxo%20KZgCEAxAgBvg4z62dOM/6kEPxjZFnbf8Bx1KCgUZ/MGXwCwbZpfan6+8tJjHdMcAqILTN1WAb2D0%20KZzi9yapSMEd+8uJnjYrLoO1oAeKyAEv+HAUqkb/px2Hasc7/gAECiymQZuzJ1gbxJjhTcaE/cBV%20P3TXO569kCJbsMEWlNOJi3D3k6GkxB7Eq1dORQtjgTnDbl6QAhXgQHrUwweW7BMmeBBFLGJBS3Cn%20IBEZlOMMG+iWZge20tn2Zz+xBZhZ2CEPeUTFi2+CQftO20w4tc8KbALqnIohj3+srYoFpq0ALUfO%20BThiqkHp30vwUbB6OJAizNXe5zrSGEdEJjhoqKTugOHW5mA3u53ALixASQkaipJ44kVyY8RrNKP9%20ZTkaYYwCICHYNugjBC99CTvwEQI74MMOiBWpWIhyS8pFpAekaIFXxCfggbEZxGs5sBsTvJ8AtMMJ%20/yLwwBraF+F59dTCOW1fUC9cAamoEanzaIfg3twnouAjBU/lxQLMwVsUu5Fw8IAHWf6gABlsNQWA%20wVlGbDASRRotCGhgSIWAAQwIbMHV2RVyrCkAC1iM0ghB0Guuk6RXo31XORcRCcjo0AYCFMJh98Ev%20TJB6TA8zDNPzlc4TfSkTseghImcoRwsehqWWANDNi0ZLnPW0n3g4YQC68IAV8sZT1EbTfakNRvvw%20JjcQ1ABgdpjH2sDdp4LF49G4XUA2gmuUoBwRHw+Tcz2cQlwIRMZCc0XBciFzYxJoYdWu7gQsiEzr%20FND61rieQBA6FS297hW8f+kEKIlnDikM9g8KJ/9XAMVTS4bZB7b2sYO/pD1fnrOZHQaIiA1ikYKW%20JLvb4/v2vnsibgbuZ101QJNOTRtNnr67tBUOdIZ1kQt90AepSu+To3vQCkK1AVyaBdM/4NEGHJiA%20Chh4QUpkwClH8AEDfEjBBA4KgU6EEiTEGXkpS4mCG7bA8GcwPOYaNQViO6zA7CBAOXrQAzSoIN9r%20O1fm0TaPc2mz2Z7Pd8+t8w56AMKW6qz0P0xP6XS2Xp0xhz253DF72tfe9vmJfexnL4/b955Mvwd+%208H9fiQEUwPjFV0AQloEHLpIjmjjd897wJggriCMYweDbaT+ARnnw60shBbt/xAKPFPTgEwuYBFP/%20lF0TFLMjBG2Yggl60wIM/AUDLHAEBSbgCEfoXYZHRoFlcBbzGqVoMYKPwCHMeSU9iKUNcBh4SL3Z%20wgcD6INkYCIc8LDMy7nLmwdA+DxtwjfRQxs7MCKYAIQNCKnSi46gUKfVYz0WVKyYq4crk8EQMKrZ%20cwIvsIcxuT2uyD3dsz0v8ILjI4ACAAJXCIJUSAU1gAUXUAZl0AIoHIYO0AARsEIR0IBheEJlmAMt%20SMJUwINg8ABymDec4qm70Rszur41uBcw0hsr8AARcAKuMIqBC7/sUKecgAcjMAGyU4LuSSn2C5Oh%202IApUAETuByhwYAJMAI+qLG8Cx4KQBpOSaRF/xorHOgIjZAYV5CCNmi8o3u8mzAANBAMUpiAeLgH%20fBAPMbsvnMiHWYI52KOHmOuOe8iHe0BFdekOVLwHXAyAKPjFX4yCYQTGYvxFskBG/MAPd7CHHVTG%20ZIRG/AgBLxiA4jO+AqiBGsADPFCDbnSBO5iDcCyGGxEB11AE2gAWLai4LRC5PQiCjpECwTo+bvCC%20OcwHBrO9sXCHfHACLmITnfqzMqKfbqiEGtgzMoowD7AA3pOOCLzD61ggdzq/VvgD7ai5dGmg7KEI%20Ddk/DTECRxCkkdOrozmlG+qI4aGDKYilG3g5MBMKeKAHdohJsXBIw8EsgGkDNFAJElAAMdtF+/+K%20B3zQB1U8LC6ZxR/8SVt0BmeIh3xwhnzYxXtwBmIcRmEURqp8I24YgDYoAAPoyiMspZDbAlPQgrIc%20R1a4QlbQgGLQAlOYgzvoBhewBjXYxm2sgQI4hWocgErwAmSkvWV0h3qYPcC0vVu0PaPCj2bkFy4Z%20E3HwgHqxOggDqrv5gGoYgGpghuhrBDiRinyYj26ryYdci4JhBxTowwUYgopcP53gOTd6ixTIlLxb%20RAyqv+T5Db7AgCZQSQL4AxTEMrXDtODEtNmSNjm7Mm5wqxNwBXykPeasPXmwEzJxTidoTt5jRuec%20PXvQymo0vmwEw1SwBmu4A1O4A3AshmJgBbT/tEINqDhjMRZTgIUgkE+Ra7k22ErqoYfXowdaKhe1%20Oab/5LmgxAcviLnA/AMCvR4InCqYcEj+cQkW3CZ7EAFdaEOegj4woj44CYYaUANnCirTsoL7MSq1%20+w7RzI4FCgMTUIIFkAAAW02ZqLQn2rZN67RF4hTISIa/EImOCSwDmKWCscMoagd6gIc9solWhKLi%20JJcB8J0TmADeY7A53D3mlAetLAC9LAApSD5OCQJY2IITeM85GIYrtEJWGIZhCEdT2IJcCE818Ac8%20uMtrrMYb8ALB5IrdaxsGg9I89cGmqAfB/MGvEFQAJdTOaoo7icXYY9AvObrMU9DRU70NsDl3/6CK%20LugCdyuteZnMLgiGDtjGPnO3ENUFH4QcEz1RlwiDPrgCXngAULQJ3oo2sbCedpiABzDFDFKOjnCF%20WOLN/DQKw6I2AnvQAEo6m+QfBHOHNnCFiouDYdiC8CzPcCzP9EzLYpiD3Km4E2BH+ZyAVJACKbhG%20T+SGHfzLwZy9WNzHVPzTwLwHd7DFfMiHsbAHQMWPelDM/AgAfIiBKBBUdtjX/4yHX+TAgSXYefio%20/tnPWRTSnAvB+bq8ntsPzmNBtOmODqBQneqpnJofQVgDaTgFF5iXoJImXbgCpXJQU4VIl1ABNJgE%20XiCBF2VNoYiHPFEUrZIYo6kQ/SMAhXsJ1P9TtpkEM5lMl9D0JmhDMHsIAg4CKGWA0zi9xiKyqmm0%20Kutsm6qNUj1dF+x8zsKEV17sxa8F23v4wQK1h2Oyj/80W7T9inco2LZ1o8ZKsZnouYflucs7MPBY%20mzpzhw7ggpuqOmmiFzfh1A3Fgz6TphC1APzwEqJF2W9phxdAgwXghTF4CURBuJ3wpaaYAJudAE/r%20C9WU22gT3eJUOqOVM3eIBy8wBWB4QiDIN7SFBzoLxmAcW9gb3dudtmF1SbWAwd51vd4D3m6ykpNV%20tnbIhzmIup3CukGjnzUQBGaohgvjGzbpAi5gBSfgOcZt3J1oiYfBgTOItAVogqJzCVcN3Sr/aQoF%20eKdFTIEg6AsMsJ7zxV3RBTvTHYt2QM4TUIYTAIJ7kN39MMbZjYLajbniNOBAjKLHmg7fZWB0Ct7e%200xLiLd+kUgM0UbeqqzAwqhdBqAZM8GBMYAagYhNp0AUtkIfW3N7pWLF4aINOmAQNUAIVcAkX7Ykn%20KgsF4FzmCgkUMFJqm1/S3Tcl5RLkpJACOBdiPReCQxeqAgrwcOIn1rzO4zx00TwRtOJidYn/1eL/%20HRcC/kGXMKx2kIcBQA+MvTp1A8gKuD4RfpMusAALSIVySZvJSeG1UE0CkIBJaNlJwIAvmVmemLam%20aILAYF9FyjvwW78DBuIgFl1y4QYKOYEC/zgx16Nk7YDiS6ZidMG8TO68K+65n9jiUOaPnvDiL/YS%20McYEC/AA02K30row1LICKwiGNThDAHCTqhgA7viKlkDkOv4JfEADObiGa8AGOeCFr/GJzG2HkRm1%20BjmeGmuC3fVlH46JWdyAwogSbknmH45VUd7iQb2iAyvUZPZmLb7kS9aSAOqSc/FPMVYGm4Jl6Hsm%20vskpGPgAaTAjC2AFrjiweUisafYJyQEwJRDmGVAHOZADHOg8aU7k/mmKkZGBRXSE48GAFjAHhgZo%20BE6xDTiJhwDEGubmJypnLQZncS5pUB5pOpPYcwaPCMaycBbjAkC3nfqAWFYtu8kbNgmGef8RhLrx%20AA9QA6MKgNj154z2iW5rh4S5BjlQB2wQXz0E6VZsB3OoCAxwBBx45haYAqNOi3coBCaSiELwZNH7%20lrFGYQaV5lIuC7Oer2h0a2VEC0Ue3ZNlZ2MCLXtghWXqM9JCQ7yJJnmpl5rOs0ogi5gaaozmapgo%20BD4aDyCABAyYkvKl4SNds6agA4oYCRywO0fQ6sT+ifcbg3KQCAJga2gTF58VKbUel7d2628J6Vjt%202c8Ci9nLBTRxPp/Km2f62zaekw7ABH42JphEbM/mLPp9BwPwof5zEA0ygATT6Iye7JcwACUAgx6Q%20vMVmKWEl7pl4mJz4A0XIs5yyG/jRG3z/oWXqsx8uuLJOPqztDpfc/QcDWB6QfBoUaAGzKwosNlHr%20wIekIAAC6AMlyDY0SIQeDib9Ju5ua4KflgZBaIQPcD40lKbrC2x3SQV3CAH29h/37pNpO+6q5hDm%200mb4zuiH6TaEC4QhUALPwAH3Wyrt5nDpKDoX7QCquD41aYT4uRv3aR8x5IIOcAcvAJP52vAYH96U%20+hL5loH+KxKRUAGmIPGM7t7I+YdCyAF1MJBr4IVAIE4jrwkXVbN+RDdm6oIcB6Nospv2UUgLcAJu%20CC50GSYvj+BYfYc2qIj+Yy/2UgHsjvJpllGjiAOmVodtKGbKfXEE5+rLFW5u0AAuUA/q/wtseeGp%207eMCEagExLw5ORtuOU+Ly2qJNpjvCaghFUCBQshvDodqeIACpp4BbDjoSbiBzUJ0gMasvvSCOXjj%20LuqbaOoCaTiTOTgFKW0HQGjNIuf07HgiTKvzUC8avkABF+3zaS5VTNsAG1iAGeCFHJiEFtgsGEf1%20yo0JwVSAK3B0qZAKuOkiWCBspbo5BNv0Y99m6xjOQLjzzm1yHPCKU/fsbnPRipQcwvoDf5d1eAf3%209aPBOTyFYaAKqbCADqiGcJhD3hsPpII2Yyf46Zg2eriBZIAAPK9oQDr1Wb/4ARP57Xb3rS2X8hFB%20IR3568jddtj4jteg2myCPIn2lk9SnP+PCcK538GUrbIYnLOWLZ1XCw//g2SAgkL2iykIeaLP7pKX%20880DiwNbeah3+ixD4KOX+choASCw+ee++vCxeiNHF/+0gxi44rDHDg/fAArogaeBjPtuerVXqbHn%20aswyn7TRN0Cm+3iPiRDgAwjgg84VDgrgFn3v+/+x+4zG+05+3aRb/JH3cC8I/NGp6O5x7shP/CvR%20fF82bSG13ZiIOSqR4M2XX5gIgRQQ/PoTjhboJcQ3fZsM+8936NBvC8/yktj/ZUxTASg4HklQARnI%20g4/WfTnq/OJH/pgAVpfAAN/HahVogSZQoOQ/nOOn/ut3IztQgWwTpx1or8vFfpIP//H/p44tcwlz%20gII8WBQVcIQwkBzrJ//Qjf/5/2U9bAIwYBA+QLya/weACPFvIMGCBg8iTKhwIcOGDh9CjCjRYDt2%20Ey9izKhxI8eOHj+CVGjx3x9Q5fKowIBDxRR4IV/CjCnz4MiZNm/izKlzJ76B+NiFUJEHR5MmPQwI%203Kl06c2KTJ9CjSpV5wZ28B4sICVByaQpA11ODSuWYc2xZs+indozhMBy2NTNUCdHziefae9KdYp3%20L9++H5PCmySnGbYZ19TxuhGip9/GNss6jix5MuMbxK4VbqZOXbNCkz9/1At6NGm0AtkRgDJkwYJW%20YJr8Y/enNO2IkGvjzv14A0F6vH8PT7yte7jo4caPdxy5YfY/tl+RQ48dfTr1hkml/wP7HN/16qSL%20ew/vffba5wSFi5eMPj379u4lg38vfz79s+vr48+vP2b8/f7/A4jRfQF6FBAAOw==" height="244" width="437" overflow="visible"> </image>
            </svg>
          </div>
        </div>
        <div class="fig"><span class="labelfig">FIGURA 2.&nbsp; </span><span class="textfig">Máquina sembradora de bandejas, 1- 
          Bastidor de soporte, 2- Soporte de bandeja móvil, 3- Cabeza de plántula,
          4- Tarro de succión para las semillas.</span></div>
        <p>La máquina 
          sembradora de bandejas de arroz es de funcionamiento neumático (se 
          conecta al compresor), la misma es manipulada por un operario encargado 
          de montar y desmontar las bandejas en el soporte móvil (2) y mantener el
          surtido de semilla en el depósito del cabezal (3). La siembra se 
          materializa de forma sincronizada de cuatro operaciones, los calibres 
          hacen 20 huellas en la bandeja en movimiento, al tiempo que los tarros 
          (4) succionan la misma cantidad de semilla en el depósito del cabezal y 
          las libera en los conductos que las deposita en las huellas de la 
          bandeja. Con este equipo se logró una productividad de 30 bandejas 
          sembradas por hora.</p>
      </article>
      <article class="section"><a id="id0xcbd3780"><!-- named anchor --></a>
        <h4>Metodología para determinar la composición del sustrato</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <p>Según estudios de <span class="tooltip"><a href="#B7">Hernández <i>et al.</i> (2016)</a><span class="tooltip-content">HERNÁNDEZ,
          B.M.D.; DÍAZ, L.G.A.; CASTELLS, H.S.; LEÓN, S.L.E.: “Adecuación de 
          sustrato en semillero de arroz para trasplante mecanizado”, <i>Avances</i>, 18(1): 49-56, 2016, ISSN: 1562-3297, <i>Disponible en:</i><a href="http://www.ciget.pinar.cu/ojs/index.php/publicaciones/article/view/147" target="xrefwindow">http://www.ciget.pinar.cu/ojs/index.php/publicaciones/article/view/147</a>.</span></span>,
          para determinar y adecuar los componentes del sustrato para semillero 
          de arroz en alfombra en condiciones de la llanura sur de Pinar del Rio, 
          se decide cuatro variantes para elaborar el sustrato, teniendo en cuenta
          las recomendaciones de la bibliografía consultada en <span class="tooltip"><a href="#B15">Philippine Rice Research Institute (2009)</a><span class="tooltip-content">PHILIPPINE RICE RESEARCH INSTITUTE: “Philippine Rice Research Institute”, <i>Rice Technology Bulletin</i>, 60, 2009, ISSN: 0117-9799.</span></span>, los sustratos probados fueron: </p>
        <div class="list"><a id="id0xcfc1100"><!-- named anchor --></a>
          <ol style="list-style-type: decimal">
            <li>
              <p>Suelo Seco Tamizado (ST). </p>
            </li>
            <li>
              <p>Suelo Seco Tamizado+ Materia Orgánica Tamizada (ST+MOT). </p>
            </li>
            <li>
              <p>Suelo Seco Tamizado+ Materia Orgánica Tamizada + Fibra Seca de Caña Molida (ST+MOT+FCSM). </p>
            </li>
            <li>
              <p>Suelo
                Seco Tamizado + Materia Orgánica Tamizada + Fibra Seca de Caña Molida +
                Cascarilla de Arroz Carbonizada (ST+MOT+FCSM+CAC). </p>
            </li>
          </ol>
        </div>
        <p>Los
          sustratos según composición, permanecieron e reposo después de 
          mezclados por espacio de: 40, 30, 20, 10, 0 días. Para cada sustrato con
          sus correspondientes días de reposo se montaron 4 bandejas (30 cm x 60 
          cm), según <span class="tooltip"><a href="#t6">Tabla 2</a></span>.</p>
        <div class="table" id="t6"><span class="labelfig">TABLA 2.&nbsp; </span><span class="textfig">Ubicación de los diferentes sustratos y tiempo de reposo</span></div>
        <div class="contenedor">
          <div class="outer-centrado">
            <div style="max-width: 1160px;" class="inner-centrado">
              <table>
                <colgroup>
                <col>
                <col>
                <col>
                <col>
                <col>
                </colgroup>
                <tbody>
                  <tr>
                    <td align="justify">40 días </td>
                    <td align="justify">ST</td>
                    <td align="justify">ST+MOT</td>
                    <td align="justify">ST+MOT+FCSM</td>
                    <td align="justify">ST+MOT+FCSM+CAC</td>
                  </tr>
                  <tr>
                    <td align="justify">30 días</td>
                    <td align="justify">ST+MOT+FCSM+CAC</td>
                    <td align="justify">ST+MOT+FCSM</td>
                    <td align="justify">ST+MOT</td>
                    <td align="justify">ST</td>
                  </tr>
                  <tr>
                    <td align="justify">20 días</td>
                    <td align="justify">ST+MOT+FCSM</td>
                    <td align="justify">ST</td>
                    <td align="justify">ST+MOT+FCSM+CAC</td>
                    <td align="justify">ST+MOT</td>
                  </tr>
                  <tr>
                    <td align="justify">10 días</td>
                    <td align="justify">ST+MOT</td>
                    <td align="justify">ST+MOT+FCSM+CAC</td>
                    <td align="justify">ST</td>
                    <td align="justify">ST+MOT+FCSM</td>
                  </tr>
                  <tr>
                    <td align="justify">Sin reposo</td>
                    <td align="justify">ST</td>
                    <td align="justify">ST+MOT+FCSM</td>
                    <td align="justify">ST+MOT+FCSM+CAC</td>
                    <td align="justify">ST+MOT</td>
                  </tr>
                </tbody>
              </table>
            </div>
          </div>
        </div>
        <div class="clear"></div>
      </article>
      <article class="section"><a id="id0x765480"><!-- named anchor --></a>
        <h4>Metodología y normas para la selección de la semilla</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <p>Selección
          de la semilla. Esta se realiza por el método de selección de la semilla
          por gravedad específica, para lo cual fueron sumergidas en una solución
          salina con una concentración de 1,13 g/cm<sup>3</sup>, tomándose solo las semillas sumergidas en el fondo del recipiente (<span class="tooltip"><a href="#B10">Minh, 2012</a><span class="tooltip-content">MINH, R.: <i>Manual técnico del sistema de siembra de trasplante mecanizado del cultivo de arroz (Oryza sativa)</i>, Ed. Instituto Nacional de Ciencias Agrícolas, INCA, vol. 1, San José de las Lajas, Mayabeque, Cuba, 2012.</span></span>).</p>
        <p>Determinación
          de germinación. El objeto de los ensayos de germinación es determinar, 
          el máximo potencial de germinación de un lote de semillas. Estimar su 
          valor para siembra en terreno de cultivo y proporcionar resultados que 
          permitan comparar los diferentes lotes de semillas (<span class="tooltip"><a href="#B10">Minh, 2012</a><span class="tooltip-content">MINH, R.: <i>Manual técnico del sistema de siembra de trasplante mecanizado del cultivo de arroz (Oryza sativa)</i>, Ed. Instituto Nacional de Ciencias Agrícolas, INCA, vol. 1, San José de las Lajas, Mayabeque, Cuba, 2012.</span></span>; <span class="tooltip"><a href="#B14">NRAG/CTNR, 2012</a><span class="tooltip-content">NRAG/CTNR: <i>Arroz con cáscara seco para semilla. Determinación de la energía y facultad germinativa</i>,
          Inst. Instituto de Investigaciones de Granos, Procedimientos y Normas 
          para la Producción de Semillas de Arroz, La Habana, Cuba, 16 p., 
          NRAG/CTNR No.16 Arroz, 2009. Anexos NRAG. 105, 2012.</span></span>).</p>
        <p>La masa real de semilla (Mr) por bandeja varía en función del porciento de geminación de la misma, expresión (<span class="tooltip"><a href="#e9">1</a><span class="tooltip-content">
          <math>
            <mi mathvariant="normal">M</mi>
            <mi mathvariant="normal">r</mi>
            <mo>=</mo>
            <mfrac>
              <mrow>
                <mi mathvariant="normal">P</mi>
                <mi mathvariant="normal">r</mi>
                <mo>∙</mo>
                <mi mathvariant="normal">M</mi>
                <mi mathvariant="normal">i</mi>
              </mrow>
              <mrow>
                <mi mathvariant="normal">P</mi>
                <mi mathvariant="normal">i</mi>
              </mrow>
            </mfrac>
            <mo>,</mo>
            <mi mathvariant="normal"> </mi>
            <mi mathvariant="normal">g</mi>
          </math>
          </span></span>).</p>
        <div id="e9" class="disp-formula">
          <math>
            <mi mathvariant="normal">M</mi>
            <mi mathvariant="normal">r</mi>
            <mo>=</mo>
            <mfrac>
              <mrow>
                <mi mathvariant="normal">P</mi>
                <mi mathvariant="normal">r</mi>
                <mo>∙</mo>
                <mi mathvariant="normal">M</mi>
                <mi mathvariant="normal">i</mi>
              </mrow>
              <mrow>
                <mi mathvariant="normal">P</mi>
                <mi mathvariant="normal">i</mi>
              </mrow>
            </mfrac>
            <mo>,</mo>
            <mi mathvariant="normal"> </mi>
            <mi mathvariant="normal">g</mi>
          </math>
          <span class="labelfig"> &nbsp;(1)</span></div>
        <div style="clear:both"></div>
        <p>donde, </p>
        <p>Pi 
          - Porcentaje de germinación de la semilla ideal de 95…98, %; </p>
        <p>Mi 
          - Masa de semilla por bandeja ideal de 130, g; </p>
        <p>Pr 
          - Porcentaje de germinación real de la semilla, %. </p>
      </article>
      <article class="section"><a id="id0x8b48a80"><!-- named anchor --></a>
        <h4>Metodología para analizar el vigor de las plantas</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <p>Para medir la altura y grosor de las plántulas se utilizó el método de la estándar para el arroz según <span class="tooltip"><a href="#B5">Graeguiles (2000)</a><span class="tooltip-content">GRAEGUILES, J.: “Reed Rice. Research in control”, In: <i>Simposium Heldat Texas and M. University</i>, Texas, USA, p. 5, Proceeding Ofred Rice, 2000.</span></span>, apoyados en una cinta métrica y un pie de rey con exactitud ± 1 mm y 0,05 mm respectivamente.</p>
      </article>
      <article class="section"><a id="id0x8b49080"><!-- named anchor --></a>
        <h4>Metodología para determinar la calidad del proceso de trasplante.</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <p>Se
          desea evaluar en el experimento las siguientes variables; Partiendo de 
          que la lámina de agua y el suelo son líneas paralelas (r||p) y la planta
          perpendicular (s) (<span class="tooltip"><a href="#f9">Figura 3</a></span>) (<span class="tooltip"><a href="#B8">Menéndez <i>et al.</i>, 2012a</a><span class="tooltip-content">MENÉNDEZ,
          C.L.; RAMOS, D.S.; MIRANDA, C.A.: “Determinación de la tecnología para 
          la obtención de parámetros de calidad de las posturas exigidas por la 
          trasplantadoraTMA-4 para el cultivo del arroz”, <i>Revista Ingeniería Agrícola</i>, 2(1): 59-64, 2012a, ISSN: 2306-1545, E-ISSN: 2227-8761, <i>Disponible en:</i><a href="https://rcta.unah.edu.cu/index.php/IAgric/article/view/582" target="xrefwindow">https://rcta.unah.edu.cu/index.php/IAgric/article/view/582</a>.</span></span>; <span class="tooltip"><a href="#B9">2012b</a><span class="tooltip-content">MENÉNDEZ,
          C.L.; RAMOS, D.S.; MIRANDA, C.A.: “Evaluación de la calidad de trabajo 
          de la trasplantadora semi-mecanizada TMA-4 en el cultivo del arroz”, <i>Revista Ciencias Técnicas Agropecuarias</i>, 21(2): 34-37, 2012b, ISSN: 1010-2760, e-ISSN: 2071-0054, <i>Disponible en:</i><a href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S2071-00542012000200006&amp;lng=es&amp;tlng=" target="xrefwindow">http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S2071-00542012000200006&amp;lng=es&amp;tlng=</a>.</span></span>).</p>
        <div id="f9" class="fig">
          <div class="zoom">
            <svg xml:space="preserve" enable-background="new 0 0 500 390.845" viewBox="0 0 500 390.845" height="390.845px" width="500px" y="0px" x="0px"  version="1.1">
              <image transform="matrix(1.7606 0 0 1.7606 0 0)" 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BAYkwQxm%20SII25VPjN00BBq5sR/+Ah5uBDgS0D2HALWyhhSY0oQQzFo2pUpDZcrLCtTx5bmt4/A8MsJb/Ibci%20SEYtQxAfmPFHtkDuG/jru6fI4KQOifND3Smf5dyCuF/RgAZ40gS0UuIdnpjConWigRSkoAoq0EYP%20Ns1pbVQhBZMWSBgQvRBBzy6lkbPyViqN6U3johawhnUPtKECZygi1CypdAqcUQUnsKK/OKCCHV5d%20C1xwugcysMJ1ls3sZjv72cy+AZKnPW0MmAED1sb2tbPN7WtT2wxF/ra4v+1Saj8hB+NO97cne5Bb%20MEB4D8aJBpyhDWLH+t74vvesnQFqklTaGSrogb1hPQ8XmLMdL2BBvmPdiD04/OFOiLgTGkTxilv8%204vpxwhWKsIGOe/zjIA/5x0XhZS+Pokcl/0+5ykteBJW3fOUwhzkQEBK5Jtdk3j1YuM53HmtceLrf%20F9GAIi6taZ7D+hKUSKsrb2F0oxvb05+2tCJurWihM+HqTFCDGnhwiqZ7/d4y4AIgBNKLItvE3TxJ%20gTa8rgYFkEEagFDD12Ft7Fqn4NYIUfTQd63pgX+9Em/whAhg4Iq3AwIQc0+84nWuixU04AgXqMAS%20DNGFAVh+ANi4ABcGUAGBsKEEbJYJ2nPijJzrXAEIGIEHPACC1rseBKsfQSLI4IXF1+LYtse3Atrg%20jwtwwA8wOMEkTqAKCkChFFCogyY0QYMB0KACXFjBCmqfe8WfYvdcqAA2zgAFKPxgAB2Igv/4O9GB%208neAFD/4ARTaIJAbsCH0MRk9Tkx/byak/vX4x78w9g8CYcAjG7OHeNXndTKgAOPABQ1AA6BAAbIA%20flFAC/11Ai/QDQbACAZwgQYQfhgYBYzQAYwgC50QeQi4Alw3gF5wBF0geWdAARRQBxRQCqTAAVsw%20AGkwAFxQgzTAAeNwATx4AW2wBANACkzAHHmgBfD3EpFDajOxdrB2CmSwBNngBm4gfm5gAFFQfu6Q%20frIgC4bACIwQBQagCRhoAFvQAXVgCD5oCzwwgLWwCUfgCL6HDcj3Ax2QBmNYCgawDsglAvpwAOBQ%20CpBwBlsACgMQB6QACluAfGdQB90HBUv/UAqloAlbcAEUoAlpYAiStwQccAGO0ACe2ABwuARAGAcM%20WH6yYHyl0AkxmAak0Iq+VwFdsALa8AgKoQhqQDZJYAtHuBYacAqb0ACTBwVfKH7qpwmk0AmGYAik%20MABnMABLsIzNyAEtSIeaIH7ipwk/UAdpAH3jsALoAAQygG9AcA4r0AaeeAFLQANpwAXNd4gcAAqW%20GIPOCIsKwANdk1bx4AqqhRCPsAno0AAKUAE0QANxkIBxMJDsmIyGAIRbIImBmAZpEAcLSQOQMHkc%20QJHp6AiOcAReACoUkQxooItzsQKdUAqy0AGycHxxIII8mH0NwAVc4AixCIrleIIroAAr/7AJXYCO%20pLAEFLAFKxgHxpgGUJCIpQAKUEABnXB8P7kEW0AKzcgFncCMpNAGFbCRgOCRIeYCMUAHb4AKFfEI%20gMADXOB7NIANUwmVFzCDAwAKMmh5W0ADWxAHmogNDbACauAMG4EBTSCScpEOSEkBaKgATBAMwfAI%20+zgRj6AAcAgJyngGhhCXUBmZHMCMAxCCzEiXK7CRapCYBSEIBcUJLkApHKEIweAF6ICTR2CObXCT%20XvAIWgkSf6YCfikXXMABY1cSKaAGKzAODbCTLQmHGjl9PKCXEhECJ0AFkSACzaUUPqAbtRkXitAU%20EcUKOOAKPuMUvqA40Xk7BkFmrrQP7f9lK9nRnd5JEDOwXXQwSTUjOOZ5nvMkAm/ACSLQYU0xCL6A%20Obt4noPAP5HgCrDEFDpQG+8Jn6DJCpGQV0sxP9kpkpshOfCJnHQwCZu0Lu3yD34JGfA5EKnwBnTw%20AorjFGiwPRnqGvCpCHpwAg5AB561FElgJCW6oVlDBy4wBrfkFECQBzESoxvqQSKgBAHVFD5wAwTB%20o/DZn67ACa7jFDbAbhgqOBq6ocgyCgdAUj/xBCKCC7awBlBqov+ghBoTArHgALRQBT6hDJigDLiG%20ELzAY0lwbsPyoNB1Z3KhAVLQE6lwAEqACigADCjwpygQElIQqATRDBJAAmLQEMrQB33/8AcF8Kgk%20IAGSCgCUWghiQAiLcKeDUqB4AQw70AeYIKkSoAyUaglicKpisAyAuqqnWgiUCgDKIKokUACTigiF%20IKoSUKqoigirCqitSqkkoF0hMASMWqzGWqx/8AflYATXkAVBkA8xF61N0A8QUK2fIACfUK3aKgDc%20eg3d+q0CYAQWoK3kWq7aGghDAAEWYARlQAhZwADfEK/yKq30Wq8qt1ZEQQyPuq9zgAk78AeHwKh/%20gAnJ+gcfcLDHmrAKewgMe7AFa7Cv0Aev8AHJerARq7AYewje4AeuoAqfMAcgG7Ii26/+eg8PcLIn%20WwYqu7Isu7Ioi7Is+wArewd3UAYv/5uyONuyZcAADECzNBsIOeCzd6AHNGuzKBsIN/sA6ra0TJtu%201BUUUrCvkDqpAGAJiLAQgwqowICqYvCnmqoQwIAI03kQvdqrxEAQV0ALreAHPSARwGAJsyq1+xqp%20VFu1XZsQUoAEw+AQfLAAQ7AIuZALRGACs8APNcAO/1AEF0oQxKC1YtAMMEEbEFoUJvAJGYAEJmAC%20z1ADnMu3nFsDxpC5mSu4JjAMisAHoSu6n/u1CrE+dsAAyJABRgABv1C7v6CuFpC76yoAC7AAufAM%20YxsRigAHuZsBuQAHGWABWLC8yBC4zvu8gRsO1CAAFtACLbC8yxsI17u81lu7lqu3x/9gE6uhG5XR%20E8fwuSZABLmADAtAvbprAdfKrfIrv9fQu/abAfObv/o7vQJADfb7v/YLvc7bu2agByGgAwD8v80r%20wM6LBMxwDEgQuJgruibADDUADQLBufSgvoE7uBT8waJbD9DFGuSQudVQDRQ8C9wgujkQBJ/7whdc%20Ew4WO4PhWCFgYTmhZQOBGoEiZ9qkCzrqEzMcGvGmF0KAAamQCurEEzpcEAGQAzzLs3kQQxNwMT1B%20G//wnH8xA0TWGpIwnjjRxLgRAAlgC2a8pQ+SCXuAYdBVxC8xUKzxFyowChFgBq4wBXowChWqE6vB%20GmOMLwbxBAsif8Jjcy0xxH1hCwH/MAV5gAb0hEKoMAoJ4JkzIcZXBsgEYYTawWY6sJ+H7MZ00Qtm%20dQNPcAUBsBr4QAt6gAGVEEM5PGI9bBAsJn/xgcgx0cd9UQL4cAujcHJo8ASPRQujkAdXgAEJ9co7%20LBmxXBA60FW0zGQ5owVPUAtPMAUrMgGV4AqVkAcs8AR5gA+jYMgtkWqtAR/LPBAMuskEIR+gDC0l%20sAcMMArZmQQEYAYMEAGghQYlcG6UfBPnLBAbcKG03MnR/G550DJC8AQEIA604EvJ8Q+D4ArXxBP/%20/A8JAMiELGYkYwMYQAtRZQPJwAA+ID05MAhE+g+kDBQVnQOywcas4cnaIgq0QAvo/2MpGBAAV0Ck%20yWADggNP+LoT/7wLl7KhuxABvuXK/xAAo0Ckg+A9ZZcE4AIEtIDDQI3J/1DFGzoBTyAP+1wjzQFI%20EVBB+MCdT7AHMUQLx9wT/xwBE4012oCltTBN/4ALOlACQpAHM/cP/lRTZSMQDLC4VV0QoxCgl+ME%20o7IGo3A3vlACiqC4gwbRX9DXeGJZgT0QXLqhSbAiPkAjvnQcX0BRPfQPVsAGu/AEPhMBME0T58xi%203ulLAiEOrqACks0AUeULPoQBA5IAoZQA80XRmGwGfnQ5BzY7wxIGCMYLvR0Ad8MyBMEGXuTbjUQ/%208KkD2FICa4NGVxU0jWAFZFYQg/9gQz6xzAENn0J9WxGgOxEAHRjQTVnUnQFAC/2s2oD8BVatPvkp%20EDrgCrqQCRSD1wVRhKFXBAzQzjOxzDlgPpfTK4ryBL6QRv+A3AahA4MAfyXQnDgRyyUS3wXzBQ7+%20D0JEVwLRCFY8EGxw3maUAG194fhi2PDJAtmZNWxGRQbRC1PQphSV1PWt4gKR3jJ6IcS13gfhQ3/2%20NBWt4/8wBYQNn3tw39KU1whRAmtV5P4sKJXV4wMxSgMB4Q/RKuEtKATgPVaO0ggk4hCRAy2aEz1s%20Bt0ko+Q1EAnwtAhhUj8RKLjgCt7V42YQI9T9EGTe5VdwSWFOEIL8EBw25wFgBTf/Huj/8GcPMT8z%20heanjOCK3gRC1hAApNL48NyK/g9swOQM8eYqfQNIvelfEKINsQFOrtY5UDub3mYWrhTJAKCtPhBT%20kOpN4UmzLhCDQAs8+yDiwLM21ckMgGD/oA1JwLOuYoQ8qzRgEMW+zrNJcFs8PewCYew8ezS6EMXM%207uwCAc9GJu3Anusejge2sFZaagtODgRm/OK6YMa3haFmDCApYMbmbsZpIgPrPhDtbgtPswvxriH0%20js72PhD4rmLifvAIn/AroWbvofBMwdp04/BFwdoSvxQDhgdwXvHf1RoZr/FAcfEd7/ErFvEif2Ek%20X/JA8VypjfIs3/Iu//IwH/MyCj/zNF/zNu8UAQEAOw==" height="222" width="284" overflow="visible"> </image>
            </svg>
          </div>
        </div>
        <div class="fig"><span class="labelfig">FIGURA 3.&nbsp; </span><span class="textfig">Esquema de medición de la plántula después de su trasplante.</span></div>
        <p>La inclinación de las plantas al ser trasplantadas. El ángulo de inclinación de la postura 
          (∢BDL) después del trasplante se calculó utilizando el teorema de Pitágoras y las identidades trigonométricas (<span class="tooltip"><a href="#f7">Figura 3</a></span>). </p>
        <p>donde, </p>
        <p>1) El ∢ABC se calculó por la expresión (2.2) determinado el inverso del sin∢ABC; </p>
        <div id="e10" class="disp-formula">
          <math>
            <mrow>
              <mrow>
                <mi mathvariant="normal">sin ∢</mi>
              </mrow>
              <mo>⁡</mo>
              <mrow>
                <mi mathvariant="normal">A</mi>
                <mi mathvariant="normal">B</mi>
                <mi mathvariant="normal">C</mi>
                <mo>=</mo>
                <mfrac>
                  <mrow>
                    <mover accent="true">
                      <mrow>
                        <mi mathvariant="normal">A</mi>
                        <mi mathvariant="normal">C</mi>
                      </mrow>
                      <mo>-</mo>
                    </mover>
                  </mrow>
                  <mrow>
                    <mover accent="true">
                      <mrow>
                        <mi mathvariant="normal">B</mi>
                        <mi mathvariant="normal">A</mi>
                      </mrow>
                      <mo>-</mo>
                    </mover>
                  </mrow>
                </mfrac>
              </mrow>
            </mrow>
            <mo>,</mo>
            <mi mathvariant="normal"> </mi>
            <mi mathvariant="normal">g</mi>
            <mi mathvariant="normal">r</mi>
            <mi mathvariant="normal">a</mi>
            <mi mathvariant="normal">d</mi>
            <mi mathvariant="normal">o</mi>
          </math>
          <span class="labelfig"> &nbsp;(2)</span></div>
        <div style="clear:both"></div>
        <p>2) El ∢ABC y ∢BDL son iguales por ser correspondientes entre paralelas (r║p) y la secante (s).</p>
        <p>Hacer copia con cambios en la redacción (número de hijos)</p>
        <p>La profundidad de trasplante (EF) perpendicular a la superficie (p) se calculó por las siguientes expresiones. </p>
        <p>donde:</p>
        <p>1) El ∢EDF = ∢BDL por ser opuesto por el vértice;</p>
        <p>2) El segmento BD se determina por la expresión (<span class="tooltip"><a href="#e11">3</a><span class="tooltip-content">
          <math>
            <mover accent="true">
              <mrow>
                <mi mathvariant="normal">B</mi>
                <mi mathvariant="normal">D</mi>
              </mrow>
              <mo>-</mo>
            </mover>
            <mo>=</mo>
            <mfrac>
              <mrow>
                <mover accent="true">
                  <mrow>
                    <mi mathvariant="normal">B</mi>
                    <mi mathvariant="normal">L</mi>
                  </mrow>
                  <mo>-</mo>
                </mover>
              </mrow>
              <mrow>
                <mi mathvariant="normal">s</mi>
                <mi mathvariant="normal">i</mi>
                <mi mathvariant="normal">n</mi>
                <mi mathvariant="normal"> </mi>
                <mi mathvariant="normal">B</mi>
                <mi mathvariant="normal">D</mi>
                <mi mathvariant="normal">L</mi>
              </mrow>
            </mfrac>
            <mo>,</mo>
            <mi mathvariant="normal"> </mi>
            <mi mathvariant="normal">c</mi>
            <mi mathvariant="normal">m</mi>
          </math>
          </span></span>);</p>
        <div id="e11" class="disp-formula">
          <math>
            <mover accent="true">
              <mrow>
                <mi mathvariant="normal">B</mi>
                <mi mathvariant="normal">D</mi>
              </mrow>
              <mo>-</mo>
            </mover>
            <mo>=</mo>
            <mfrac>
              <mrow>
                <mover accent="true">
                  <mrow>
                    <mi mathvariant="normal">B</mi>
                    <mi mathvariant="normal">L</mi>
                  </mrow>
                  <mo>-</mo>
                </mover>
              </mrow>
              <mrow>
                <mi mathvariant="normal">s</mi>
                <mi mathvariant="normal">i</mi>
                <mi mathvariant="normal">n</mi>
                <mi mathvariant="normal"> </mi>
                <mi mathvariant="normal">B</mi>
                <mi mathvariant="normal">D</mi>
                <mi mathvariant="normal">L</mi>
              </mrow>
            </mfrac>
            <mo>,</mo>
            <mi mathvariant="normal"> </mi>
            <mi mathvariant="normal">c</mi>
            <mi mathvariant="normal">m</mi>
          </math>
          <span class="labelfig"> &nbsp;(3)</span></div>
        <div style="clear:both"></div>
        <p>3) Suma de segmentos expresión (<span class="tooltip"><a href="#e12">4</a><span class="tooltip-content">
          <math>
            <mover accent="true">
              <mrow>
                <mi mathvariant="normal">A</mi>
                <mi mathvariant="normal">F</mi>
              </mrow>
              <mo>-</mo>
            </mover>
            <mo>=</mo>
            <mover accent="true">
              <mrow>
                <mi mathvariant="normal">A</mi>
                <mi mathvariant="normal">B</mi>
              </mrow>
              <mo>-</mo>
            </mover>
            <mo>+</mo>
            <mover accent="true">
              <mrow>
                <mi mathvariant="normal">B</mi>
                <mi mathvariant="normal">D</mi>
              </mrow>
              <mo>-</mo>
            </mover>
            <mo>+</mo>
            <mover accent="true">
              <mrow>
                <mi mathvariant="normal">D</mi>
                <mi mathvariant="normal">F</mi>
              </mrow>
              <mo>-</mo>
            </mover>
            <mo>,</mo>
            <mi mathvariant="normal"> </mi>
            <mi mathvariant="normal">c</mi>
            <mi mathvariant="normal">m</mi>
            <mi mathvariant="normal"> </mi>
          </math>
          </span></span>);</p>
        <div id="e12" class="disp-formula">
          <math>
            <mover accent="true">
              <mrow>
                <mi mathvariant="normal">A</mi>
                <mi mathvariant="normal">F</mi>
              </mrow>
              <mo>-</mo>
            </mover>
            <mo>=</mo>
            <mover accent="true">
              <mrow>
                <mi mathvariant="normal">A</mi>
                <mi mathvariant="normal">B</mi>
              </mrow>
              <mo>-</mo>
            </mover>
            <mo>+</mo>
            <mover accent="true">
              <mrow>
                <mi mathvariant="normal">B</mi>
                <mi mathvariant="normal">D</mi>
              </mrow>
              <mo>-</mo>
            </mover>
            <mo>+</mo>
            <mover accent="true">
              <mrow>
                <mi mathvariant="normal">D</mi>
                <mi mathvariant="normal">F</mi>
              </mrow>
              <mo>-</mo>
            </mover>
            <mo>,</mo>
            <mi mathvariant="normal"> </mi>
            <mi mathvariant="normal">c</mi>
            <mi mathvariant="normal">m</mi>
            <mi mathvariant="normal"> </mi>
          </math>
          <span class="labelfig"> &nbsp;</span></div>
        <div style="clear:both"></div>
        <p>4) Despeje de expresión (<span class="tooltip"><a href="#e12">4</a><span class="tooltip-content">
          <math>
            <mover accent="true">
              <mrow>
                <mi mathvariant="normal">A</mi>
                <mi mathvariant="normal">F</mi>
              </mrow>
              <mo>-</mo>
            </mover>
            <mo>=</mo>
            <mover accent="true">
              <mrow>
                <mi mathvariant="normal">A</mi>
                <mi mathvariant="normal">B</mi>
              </mrow>
              <mo>-</mo>
            </mover>
            <mo>+</mo>
            <mover accent="true">
              <mrow>
                <mi mathvariant="normal">B</mi>
                <mi mathvariant="normal">D</mi>
              </mrow>
              <mo>-</mo>
            </mover>
            <mo>+</mo>
            <mover accent="true">
              <mrow>
                <mi mathvariant="normal">D</mi>
                <mi mathvariant="normal">F</mi>
              </mrow>
              <mo>-</mo>
            </mover>
            <mo>,</mo>
            <mi mathvariant="normal"> </mi>
            <mi mathvariant="normal">c</mi>
            <mi mathvariant="normal">m</mi>
            <mi mathvariant="normal"> </mi>
          </math>
          </span></span>); </p>
        <div id="e13" class="disp-formula">
          <math>
            <mover accent="true">
              <mrow>
                <mi mathvariant="normal">D</mi>
                <mi mathvariant="normal">F</mi>
              </mrow>
              <mo>-</mo>
            </mover>
            <mo>=</mo>
            <mover accent="true">
              <mrow>
                <mi mathvariant="normal">A</mi>
                <mi mathvariant="normal">F</mi>
              </mrow>
              <mo>-</mo>
            </mover>
            <mo>-</mo>
            <mover accent="true">
              <mrow>
                <mi mathvariant="normal">A</mi>
                <mi mathvariant="normal">B</mi>
              </mrow>
              <mo>-</mo>
            </mover>
            <mo>-</mo>
            <mover accent="true">
              <mrow>
                <mi mathvariant="normal">B</mi>
                <mi mathvariant="normal">D</mi>
                <mo>,</mo>
              </mrow>
              <mo>-</mo>
            </mover>
            <mi> </mi>
            <mi mathvariant="normal">c</mi>
            <mi mathvariant="normal">m</mi>
          </math>
          <span class="labelfig"> &nbsp;(5)</span></div>
        <div style="clear:both"></div>
        <p>5) La profundidad de trasplante EF se calculó por la expresión (<span class="tooltip"><a href="#e14">6</a><span class="tooltip-content">
          <math>
            <mover accent="true">
              <mrow>
                <mi mathvariant="normal">E</mi>
                <mi mathvariant="normal">F</mi>
              </mrow>
              <mo>-</mo>
            </mover>
            <mo>=</mo>
            <mi mathvariant="normal">∢</mi>
            <mi mathvariant="normal">E</mi>
            <mi mathvariant="normal">D</mi>
            <mi mathvariant="normal">F</mi>
            <mo>∙</mo>
            <mover accent="true">
              <mrow>
                <mi mathvariant="normal">D</mi>
                <mi mathvariant="normal">F</mi>
              </mrow>
              <mo>-</mo>
            </mover>
            <mo>,</mo>
            <mi mathvariant="normal"> </mi>
            <mi mathvariant="normal">c</mi>
            <mi mathvariant="normal">m</mi>
          </math>
          </span></span>). </p>
        <div id="e14" class="disp-formula">
          <math>
            <mover accent="true">
              <mrow>
                <mi mathvariant="normal">E</mi>
                <mi mathvariant="normal">F</mi>
              </mrow>
              <mo>-</mo>
            </mover>
            <mo>=</mo>
            <mi mathvariant="normal">∢</mi>
            <mi mathvariant="normal">E</mi>
            <mi mathvariant="normal">D</mi>
            <mi mathvariant="normal">F</mi>
            <mo>∙</mo>
            <mover accent="true">
              <mrow>
                <mi mathvariant="normal">D</mi>
                <mi mathvariant="normal">F</mi>
              </mrow>
              <mo>-</mo>
            </mover>
            <mo>,</mo>
            <mi mathvariant="normal"> </mi>
            <mi mathvariant="normal">c</mi>
            <mi mathvariant="normal">m</mi>
          </math>
          <span class="labelfig"> &nbsp;(6)</span></div>
        <div style="clear:both"></div>
        <p>Todas las
          mediciones se realizaron con 10 repeticiones por parcela de forma 
          aleatoria, con una cinta métrica con una exactitud de ±1 mm.</p>
        <p><b>Cantidad de plántulas por órgano trasplantador.</b> Se realizaron cinco conteos de plantas de forma aleatoria en los tres órganos trasplantadores en cada parcela experimental. </p>
        <p><b>La distancia entre plantas por surco.</b> Se determinó con una cinta métrica con exactitud de ±1mm, la distancia 
          entre la base de los tallos de la planta consecutiva en una hilera, con 
          10 repeticiones aleatorias como mínimo, recorriendo las parcelas de 
          pruebas por sus diagonales, calculándose posteriormente el valor medio 
          de dichas mediciones.</p>
        <p><b>Efectividad de trasplante (Et).</b> Para 
          conocer la efectividad de la trasplantadora en el proceso de trasplante 
          del cultivo del arroz se realizó un conteo de los accionamientos de los 
          órganos trasplantadores en un pase de trabajo, posteriormente se 
          contaron los nichos con plántulas trasplantadas en el pase realizado y 
          se determinó el por ciento de efectividad por la expresión (<span class="tooltip"><a href="#e15">7</a><span class="tooltip-content">
          <math>
            <mi mathvariant="normal">E</mi>
            <mi mathvariant="normal">t</mi>
            <mo>=</mo>
            <mfrac>
              <mrow>
                <mi mathvariant="normal">T</mi>
                <mi mathvariant="normal">p</mi>
                <mo>∙</mo>
                <mn>100</mn>
              </mrow>
              <mrow>
                <mi mathvariant="normal">C</mi>
                <mi mathvariant="normal">a</mi>
              </mrow>
            </mfrac>
            <mo>,</mo>
            <mi mathvariant="normal"> </mi>
            <mi mathvariant="normal">%</mi>
            <mi mathvariant="normal"> </mi>
          </math>
          </span></span>).</p>
        <div id="e15" class="disp-formula">
          <math>
            <mi mathvariant="normal">E</mi>
            <mi mathvariant="normal">t</mi>
            <mo>=</mo>
            <mfrac>
              <mrow>
                <mi mathvariant="normal">T</mi>
                <mi mathvariant="normal">p</mi>
                <mo>∙</mo>
                <mn>100</mn>
              </mrow>
              <mrow>
                <mi mathvariant="normal">C</mi>
                <mi mathvariant="normal">a</mi>
              </mrow>
            </mfrac>
            <mo>,</mo>
            <mi mathvariant="normal"> </mi>
            <mi mathvariant="normal">%</mi>
            <mi mathvariant="normal"> </mi>
          </math>
          <span class="labelfig"> &nbsp;(7)</span></div>
        <div style="clear:both"></div>
        <p>donde:</p>
        <p>Tp 
          - Cantidad de nichos con plántulas trasplantadas, unidad; </p>
        <p>Ca 
          - Cantidad de accionamientos de los órganos trasplantadores, unidad. </p>
        <p><b>Supervivencia de plántulas (Sp).</b> La supervivencia de las plántulas un mes después de realizado el trasplante semi-mecanizado se determinó:</p>
        <div id="e16" class="disp-formula">
          <math>
            <mi mathvariant="normal">S</mi>
            <mi mathvariant="normal">p</mi>
            <mo>=</mo>
            <mfrac>
              <mrow>
                <mi mathvariant="normal">E</mi>
                <mi mathvariant="normal">x</mi>
                <mo>∙</mo>
                <mn>100</mn>
              </mrow>
              <mrow>
                <mi mathvariant="normal">T</mi>
                <mi mathvariant="normal">p</mi>
              </mrow>
            </mfrac>
            <mo>,</mo>
            <mi mathvariant="normal">%</mi>
          </math>
          <span class="labelfig"> &nbsp;(8)</span></div>
        <div style="clear:both"></div>
        <p>donde:</p>
        <p>Ex 
          - Existencia de nichos con plántulas un mes después del trasplante, unidad. </p>
        <p><b>Número de hijos</b>. El número de hijos en 15 plantas, 
          tomadas al azar en cada parcela experimental, las que serán 
          identificadas una vez germinadas las plantas a partir de dos meses, y 
          las evaluaciones se realizaron cada 15 días durante todo el ciclo del 
          cultivo.</p>
      </article>
    </article>
    <article class="section"><a id="id0xd245d00"><!-- named anchor --></a>
      <h3>ANÁLISIS DE LOS RESULTADOS EXPERIMENTALES</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <article class="section"><a id="id0xd245f80"><!-- named anchor --></a>
        <h4>Caracterización de las condiciones de investigación</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <p>Las
          investigaciones experimentales se desarrollaron con seis cultivares de 
          arroz INCA-LP5, ROANA LP-15, GINES LP-18, GUILLEMAR LP-19 y JOSE LP-20 
          por <span class="tooltip"><a href="#B1">Colectivo de autores (2019)</a><span class="tooltip-content">COLECTIVO DE AUTORES: <i>El Cultivo del Arroz en Los Palacio</i>, Ed. Instituto Nacional de Ciencias Agrícolas (INCA), San José de las Lajas, Mayabeque, Cuba, 2019, ISBN: 978-959-7258-01-8.</span></span>;
          en las áreas de investigación de la Unidad Científico Tecnológica de 
          Base (UCTB) Los Palacios, del Instituto Nacional de Ciencias 
          Agropecuarias (INCA), municipio Los Palacios, provincia Pinar del Río, 
          durante la campaña arrocera 2019/2020.</p>
      </article>
      <article class="section"><a id="id0xd246600"><!-- named anchor --></a>
        <h4>Parámetros de calidad de las posturas exigidas por la trasplantadora ERP-60 para el cultivo del arroz</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <article class="section"><a id="id0xe1d8900"><!-- named anchor --></a>
          <h4>Análisis de la geminación de la semilla y la evolución de las plántulas</h4>
          &nbsp;<a href="#content" class="boton_1">⌅</a>
          <p>En estudios realizados por <span class="tooltip"><a href="#B10">Minh (2012)</a><span class="tooltip-content">MINH, R.: <i>Manual técnico del sistema de siembra de trasplante mecanizado del cultivo de arroz (Oryza sativa)</i>, Ed. Instituto Nacional de Ciencias Agrícolas, INCA, vol. 1, San José de las Lajas, Mayabeque, Cuba, 2012.</span></span>; <span class="tooltip"><a href="#B6">Guerra <i>et al.</i> (2013)</a><span class="tooltip-content">GUERRA,
            V.M.; DÍAZ, L.G.A.; CASTELLS, H.S.; LEÓN, S.L.E.: “Proceso tecnológico 
            para la germinación comercial de la semilla de arroz”, <i>Avances</i>, 15(4): 406-415, 2013, ISSN: 1562-3297, <i>Disponible en:</i><a href="http://www.ciget.pinar.cu/ojs/index.php/publicaciones/article/view/121" target="xrefwindow">http://www.ciget.pinar.cu/ojs/index.php/publicaciones/article/view/121</a>.</span></span>; <span class="tooltip"><a href="#B7">Hernández <i>et al.</i> (2016)</a><span class="tooltip-content">HERNÁNDEZ,
            B.M.D.; DÍAZ, L.G.A.; CASTELLS, H.S.; LEÓN, S.L.E.: “Adecuación de 
            sustrato en semillero de arroz para trasplante mecanizado”, <i>Avances</i>, 18(1): 49-56, 2016, ISSN: 1562-3297, <i>Disponible en:</i><a href="http://www.ciget.pinar.cu/ojs/index.php/publicaciones/article/view/147" target="xrefwindow">http://www.ciget.pinar.cu/ojs/index.php/publicaciones/article/view/147</a>.</span></span> la mejor calidad de la postura de arroz se logra cuando las posturas se
            desarrollan en el sustrato constituido por cuatro partes de suelo 
            tamizado, cuatro partes de materia orgánica tamizada, una parte de fibra
            de caña seca molida y una parte de cascarilla de arroz carbonizada. Con
            el objetivo de acercar las investigaciones a las condiciones reales de 
            nuestros campesinos, estos estudios se montaron sobre la base de las dos
            variantes principales de sustratos que se pueden obtener sin 
            dificultades en las propias fincas (<span class="tooltip"><a href="#B7">Hernández <i>et al.</i>, 2016</a><span class="tooltip-content">HERNÁNDEZ,
            B.M.D.; DÍAZ, L.G.A.; CASTELLS, H.S.; LEÓN, S.L.E.: “Adecuación de 
            sustrato en semillero de arroz para trasplante mecanizado”, <i>Avances</i>, 18(1): 49-56, 2016, ISSN: 1562-3297, <i>Disponible en:</i><a href="http://www.ciget.pinar.cu/ojs/index.php/publicaciones/article/view/147" target="xrefwindow">http://www.ciget.pinar.cu/ojs/index.php/publicaciones/article/view/147</a>.</span></span>). </p>
          <p>En las pruebas experimentales se analizaron los resultados obtenidos en los dos tratamientos realizados (<span class="tooltip"><a href="#t7">Tabla 3</a></span>),
            para ello se midió tamaño, grosor de la plántula en función de la 
            relación de sustrato y la población por bandeja, a los 19 días de 
            germinación de la semilla, logrando en un menor período de tiempo que 
            las plántulas alcancen la altura necesaria recomendada 15…20 cm, 
            manteniendo la calidad requerida por el fabricante para la 
            trasplantadora (<span class="tooltip"><a href="#B4">ERP-60, 2000</a><span class="tooltip-content">ERP-60: <i>Powerful diesel engine for fast and upright rice-planting. ERP-60 series rice transplanter</i>, <i>[en línea]</i> , ERP-60, 2000, <i>Disponible en:</i><a href="https://www.daedong.co.kr/eng/product/transplanter/ERPseries.do?series_id=2000_ERP" target="xrefwindow">https://www.daedong.co.kr/eng/product/transplanter/ERPseries.do?series_id=2000_ERP</a>.</span></span>).</p>
          <div class="table" id="t7"><span class="labelfig">TABLA 3.&nbsp; </span><span class="textfig">Resultado de los valores medios de las mediciones en semilleros</span></div>
          <div class="contenedor">
            <div class="outer-centrado">
              <div style="max-width: 1160px;" class="inner-centrado">
                <table>
                  <colgroup>
                  <col>
                  <col>
                  <col span="3">
                  </colgroup>
                  <thead>
                    <tr>
                      <th rowspan="2" align="center">Sustrato</th>
                      <th rowspan="2" align="center">Tiempo de reposo (días)</th>
                      <th colspan="3" align="center">Resultado de los valores medios </th>
                    </tr>
                    <tr>
                      <th align="center">Población por bandeja (un)</th>
                      <th align="center">Altura de la postura (mm)</th>
                      <th align="center">Diámetro de las plantas a 24 mm de la base (mm)</th>
                    </tr>
                  </thead>
                  <tbody>
                    <tr>
                      <td align="center">100% suelo tamizado</td>
                      <td align="center">30</td>
                      <td align="center">342,71</td>
                      <td align="center">14,782</td>
                      <td align="center">2,22</td>
                    </tr>
                    <tr>
                      <td align="center">50% suelo tamizado y 50% materia orgánica tamizada</td>
                      <td align="center">30</td>
                      <td align="center">577,547</td>
                      <td align="center">15,175</td>
                      <td align="center">2,37</td>
                    </tr>
                  </tbody>
                </table>
              </div>
            </div>
          </div>
          <div class="clear"></div>
        </article>
        <article class="section"><a id="id0xfffffffffffd8080"><!-- named anchor --></a>
          <h4>Análisis de en el momento de ser trasplantadas</h4>
          &nbsp;<a href="#content" class="boton_1">⌅</a>
          <p>Se realizaron comparaciones entre la media (<span class="tooltip"><a href="#f10">Figura 4</a></span>)
            de cada tratamiento para conocer estadísticamente como influyen las 
            relaciones de sustratos utilizadas en cada una de las variables 
            analizadas en la investigación. El análisis de la población por bandeja 
            mostró que los dos tratamientos difieren estadísticamente, siendo el 
            tratamiento con 50% de materia orgánica y suelo tamizados el que 
            presenta mayor población con un coeficiente de variación de 2.372, 
            aunque los dos tratamientos se encuentran dentro del rango necesario 
            para el trasplante mecanizado.</p>
          <div id="f10" class="fig">
            <div class="zoom">
              <svg xml:space="preserve" enable-background="new 0 0 500 278.611" viewBox="0 0 500 278.611" height="278.611px" width="500px" y="0px" x="0px"  version="1.1">
                <image transform="matrix(0.9381 0 0 0.9381 0 0)" 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er8yhNIk%20DQGGTc/yGFvJrzW3EJurlu2xx+HzPHiYlatwCxcIxqGr51Slqr6oGhXhxK24xUeCcbliGroit/PF%20H53Lic845WD2siFjfnIxwzyYjv5yy8sLYH+f8riX8LdtKX5zZCI5ry5fctGN3mya3xnDPvck0Ncp%20b6RG3ZJTr4TQ+710pud85juvOdG7ftivQzKTT+852bkq87M7vdrWvnojsw7NquNU7oOk+4DszlK8%2051Hv4eR7SP0eD/8EKvDwO2Fgo9seSrTDHc+ET3umX930sEse5SEa+suzeHTAglzXItK80jlfeZzz%20fPKZ5/riK8HH1n4e2aFXPenN3vi3jzvuscf96unDctOLffMZEn3Cd79ynfv+8jYPvuy7zPqSl/30%20mNeQ8ENOfJL3/nXrqya48bbvzy1/QtMHffUdVHIE/CAqzfOerWvNfmrfHvK5h//4IXEh9hDcnu7n%20t+6l/33xlh4RfyNtxVNQEgd9yQd+/QdP//c7OvEX3xZR3UdSCbghE7hQzQVUSPCA7eZRuvN68xZ/%20UEd5tDdWhMAXAlgcBIhrHmh1IKh282chzleCMkVT90RsNVWAvzf/esq3f8zHe8bHOERQFfcBcd3D%20PfnnfTyIgEnofyPICAF3BOO0ccWxPhFoDuEHe6m3hArYhCOnf/LHf1r4T53nWAY4dkr4hT1YfGB3%20fI8XglmIhnTGhSr3fm4IhnDIhIxHgrtVhsB3hnWYhtb3gzGWdMNnh38Yh3noX23ogobIiIBIftc3%20iHyog37oiIjYfJHIdjlYiDt4h1uYiF2IhJ5IgWFogQuoichnhhJyhR/4gh0Sg3u4idTXiKg3e6A4%20h154iKtYgZ8zhpu1gnfXgrX4iPQHi841iZxYicN4iT64hl6HjLPYibr4iZgoiKi4iMu4i6XYi6do%20cqnYh9o4iqYo/4eOR4eWGI7TKIbd+HyyKH60GH3ECIOZ6I3YCI/KaI94WI3OKIntiIXveID52Ixu%20Z3n1CJALwoos6IqN0HqzJXgUFXkFqYrUKJC1Jxc5AYWDoH3XxH2X9o2UiI7nOJFqOJD4IQNDgROQ%20QWuDc2uKsHXbGCAIGYwKWSLGyD33V2wqSIjReI8GqY7k6IRkcYLTkYIt6ZAIBZHmmI0iGYj7GDrA%20k4Hr1lFVWA4x2XfCiI9LCYnWSAjbo4GdwYHxBoxW+YbpOI63uAiEI5SWg4MemYwgqZQ+eZaKk003%20eYM5CY3uKI0hGZf6SJKAY2lESIRHKIEvCTW8SFJxNTc7IWlSyP8+LFmUYjl4V9mTZtmXFcmGSYmV%20pCiO3PiTBJmZlCkgVSmZM7kIDClckfmQkymRfEmReniM/diK/8ialemaigiatCmah2mFvhhaOpmX%20PJmbiLmOlZWaR7ma4JiVxTiP7NiWO/mWmlmbI3mZzxibCTmbydma0/ma5GWdMomdH6mc8riVzRmR%202Zkgo6mapdkiNZlkv+mPegmX0smUfsmPzgmc0Bmaw+mZmJmLe4meu0mVvXlaxslPSOmf8tmZcvmZ%20CBqdulmYAkqcsXif8Bmc56mglsmd7omXFZqfwsmbEgqbFCqb8emg+7mg/SmKZfmgnHmiGXqbDaqf%20hgmhSzWgrvf/niRqoeGpnfRJnfZpnjsKoDTaOjbakAXaTgeqov+JobbZCAGQTRpZaUcxlUsVoPCR%20nse5nokQHPmRTSqpklTaOlb6HlhqoCKIothzA4lRlwZ3l945luDpluL5iswpCMehlsbTkUAqp5u5%20oi7apIxwHF55O2HaO2PqHWWKpGf6oo0gqFG5bmCpE0ZppmS5pH+6nY5wp/k2bYWaVofaHYnaTUKn%20W8fBpoNphZ/KHaHKTKMqoccRmELlPRHnpiN6nSUqoxHKn4ATGozZcfvRmJ0KQqnqHKs6TK2qqz+K%20mxcKk8PKQkWKmjhqqzrKp/OplU1Jj8oapCzqpyCKrNeYrdS6/62W2q1omqwx+qEU0qyTFaLdWavf%20eavoWqPsuqFvSppx+pxzupDtiXQcmqMeuqzkyqi4qKQJyqxDGlbeiq3nCrDperBp9azIFa3vOq34%20yqPWWp/furDaarAtGrCAWo4aG64cy625Wq4ZS7AmOqMdW7ICC7Ioi6tXqq65Na/8Wq/qea/4ma80%20WacTuqcVK6QrK68JW57g+rPiWrAei6mhSJhBS6Yyy1w063kSC6fwyrBCa7IK+7Lx6rQOC1dRS4Y2%20m6U426E6a5r7KrX9Kq3/urFJ26MaWrPuSrUUm7MWu5zkCQlReqpU+bQjwrfnBrEr6R9s6bN0C7Qk%20e7UtewnRo/+nRVu4R5uyLPuxl6BvjBuyRjuy4xq5SpsJUlm5Wmu1XNu0CIu1kNC5g9u4ZNunmYu4%20kmsJlPtuiBe7sju7tFu7tnu7uJu7unsbPQCxi3u6SpSkxAqxghms9iO8zQF0wOq5NoS8zAF4keC8%20kiG90wu4ltACloS92Wu9a3dRp9m9L/W94Ou9Zzu+aCW+5vtO6Ju+z7S+7OtL7vu+rxS/KPE9n3Ac%20b2O/noC/SkG/G/GEkmaEoMAeDhAaEfekU6ojAHwW+tsJBGzAg6CYswoS/qsRi+MAktbAQNkIDIAD%20UWEYVZF+/GFpOXLBGTzBaInC+OHBGXgV6ccAJlkWsHMSFZz/EYtzGRqcwo0Awi28FYszFWqawCX8%20U5uTw86mwoTAwzwswINgxBpRwxhxw0V8HlH6EzagPuTRVEHFfYTKw39zOSQsI1JMF4tTxQlwxUeQ%20xeeDkXn7lT0sw0TpxBkBxRfxw3fxcAnwF3icwedExXksqxHMbZgRGlTFv0PsPXccVHocVHycFX68%20yIF8FAXcUIILxzRcvi7xhInRwCD8E39BHBq8xN8jytlkyGK8E5s8q538x3WRyIcgyuNEylO6PSZB%20xxTRwIujmFHlyXbqymtxkR5nOUv8xa0sxGI8q7kMzFTBy8UswLrswnk6zE+pfpUcErY8EbhMFl+8%20yp/sy9t82RX4K80FZcoxks2W3MPMDMrn8c1VEc778cUIvBLXLBHm/Dd5scysDMr39pT3nBXuJsru%20Q84qUs/8/AD43M1DETj2bND+nMT7UU5hLBLzHBHmnIE6AQIpcNC9fJI5QRaTjNFUUWyTvD5PmMZt%20OtDIfB4fndEHkM53MTcefdEsLdKEXBW6bNK1jMkZssRwxNNeMdGBwcxwJNRfAdTya0NGfdQflNRK%20LUBM3dT80w81oA1UXdVWfdVYndVavdVc3dVe/dXZUAMTAAQ5ANVmfdZondZqvdZs3dYrEwgAOw==" height="297" width="533" overflow="visible"> </image>
              </svg>
            </div>
          </div>
          <div class="fig"><span class="labelfig">FIGURA 4.&nbsp; </span><span class="textfig">Resultado del conteo de población.</span></div>
        </article>
        <article class="section"><a id="id0xfffffffffffd8f00"><!-- named anchor --></a>
          <h4>Evaluación de calidad del trasplante mecanizado</h4>
          &nbsp;<a href="#content" class="boton_1">⌅</a>
          <p>Es
            de vital importancia la elaboración de los semilleros con la calidad 
            requerida, por su dependencia directa con las exigencias del trasplante,
            para lograr un proceso de siembra de las plántulas que permita un 
            desarrollo vigoroso en el medio de forma satisfactoria según <span class="tooltip"><a href="#B10">Minh (2012)</a><span class="tooltip-content">MINH, R.: <i>Manual técnico del sistema de siembra de trasplante mecanizado del cultivo de arroz (Oryza sativa)</i>, Ed. Instituto Nacional de Ciencias Agrícolas, INCA, vol. 1, San José de las Lajas, Mayabeque, Cuba, 2012.</span></span>; <span class="tooltip"><a href="#B6">Guerra <i>et al.</i> (2013)</a><span class="tooltip-content">GUERRA,
            V.M.; DÍAZ, L.G.A.; CASTELLS, H.S.; LEÓN, S.L.E.: “Proceso tecnológico 
            para la germinación comercial de la semilla de arroz”, <i>Avances</i>, 15(4): 406-415, 2013, ISSN: 1562-3297, <i>Disponible en:</i><a href="http://www.ciget.pinar.cu/ojs/index.php/publicaciones/article/view/121" target="xrefwindow">http://www.ciget.pinar.cu/ojs/index.php/publicaciones/article/view/121</a>.</span></span>; <span class="tooltip"><a href="#B7">Hernández <i>et al.</i> (2016)</a><span class="tooltip-content">HERNÁNDEZ,
            B.M.D.; DÍAZ, L.G.A.; CASTELLS, H.S.; LEÓN, S.L.E.: “Adecuación de 
            sustrato en semillero de arroz para trasplante mecanizado”, <i>Avances</i>, 18(1): 49-56, 2016, ISSN: 1562-3297, <i>Disponible en:</i><a href="http://www.ciget.pinar.cu/ojs/index.php/publicaciones/article/view/147" target="xrefwindow">http://www.ciget.pinar.cu/ojs/index.php/publicaciones/article/view/147</a>.</span></span>.</p>
          <p>La <span class="tooltip"><a href="#t8">Tabla 4</a></span> muestra el análisis estadístico realizado a partir de las muestras 
            tomadas de la altura de láminas de agua y el espesor de la capa de fango
            por parcelas en el momento del trasplante del arroz, donde se 
            determinaron los valores de la media, error estándar, coeficiente de 
            variación, máximo, mínimo.</p>
          <div class="table" id="t8"><span class="labelfig">TABLA 4.&nbsp; </span><span class="textfig">Análisis estadístico del muestreo de la calidad de la preparación de suelos</span></div>
          <div class="contenedor">
            <div class="outer-centrado">
              <div style="max-width: 1160px;" class="inner-centrado">
                <table>
                  <colgroup>
                  <col>
                  <col>
                  <col>
                  </colgroup>
                  <thead>
                    <tr>
                      <th align="left"> </th>
                      <th align="left">Lámina de agua</th>
                      <th align="left">Altura del fango</th>
                    </tr>
                  </thead>
                  <tbody>
                    <tr>
                      <td align="left">Promedio</td>
                      <td align="left">7,66667</td>
                      <td align="left">12,7083</td>
                    </tr>
                    <tr>
                      <td align="left">Error Estándar</td>
                      <td align="left">0,585658</td>
                      <td align="left">0,508903</td>
                    </tr>
                    <tr>
                      <td align="left">Coeficiente de Variación</td>
                      <td align="left">37,42%</td>
                      <td align="left">19,62%</td>
                    </tr>
                    <tr>
                      <td align="left">Mínimo</td>
                      <td align="left">2</td>
                      <td align="left">8</td>
                    </tr>
                    <tr>
                      <td align="left">Máximo</td>
                      <td align="left">12</td>
                      <td align="left">16</td>
                    </tr>
                    <tr>
                      <td align="left">Rango</td>
                      <td align="left">10</td>
                      <td align="left">8</td>
                    </tr>
                  </tbody>
                </table>
              </div>
            </div>
          </div>
          <div class="clear"></div>
        </article>
        <article class="section"><a id="id0x51aa000"><!-- named anchor --></a>
          <h4>Análisis del funcionamiento de los órganos trasplantadores realizados en el momento del trasplante</h4>
          &nbsp;<a href="#content" class="boton_1">⌅</a>
          <p>Terminada
            la actividad del trasplante se realizó un conteo de los nichos 
            plantados por la máquina en dos variantes: 12 surcos con el uso de 
            bandejas B1 y 12 surcos con el uso de las bandejas B2 en función de la 
            cantidad veces que los órganos trasplantadores fueron accionados según 
            regulación de la máquina, comparados con los que debían ser 
            trasplantados y verificados un mes después (<span class="tooltip"><a href="#f9">Figura 5</a></span>), para realizar un análisis de la calidad de trasplante y medir técnicamente la labor de la trasplantadora.</p>
          <p>Como se muestra en la <span class="tooltip"><a href="#f11">Figura 5</a></span>,
            se aprecia que no existen diferencias significativas en cuanto al 
            conteo de nichos en diferentes surcos cuando se usaron las bandejas B1 
            comparados con el accionamiento de los órganos de trabajo según 
            regulación de la máquina. Con el uso de la bandeja B2 si aparecen 
            diferencias significativas en cuatro surcos que pone en riesgo la 
            calidad del trasplante, lo que demuestro que este resultado es una 
            dependencia directa de la población alcanzada en las bandejas y no del 
            funcionamiento de la máquina.</p>
          <div id="f11" class="fig">
            <div class="zoom">
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aeKxHQH8H++WFpLQMbvmGJH3HV86R20zNQ7ThsOTb+nga0GBZ/+h0RsRiULN/BXx%20G8VMHB2BAWFwyx2v/XMY3yBR8hRxlcEPieZ/4BXh/cYR5ycjs6UDEAsagBogINRBhAkVLhRI0GCo%20BVgMHqhAYeFFjAg/ZdyY0eNHkCFFXiTAIErBkSlDESigciRLlx4PSNAjQUFMjDBxftS5E2RPnwcF%20PjhoAGXQUEYfKg1a8uTDmTdDRXXp9OhKk1erZn2oECjOjhfDIiVbNqlWsytbpj1IkahZAhSolv1a%20dihbhW7NJkDAwAHftUiZTrVJdvDguzEHI1yMszHCui7HKpyM13LIx2X1mqUICtRbzWgEzCVLwDMo%20v5wlKDptkS2G1HsReHZNlqL/awMdpAYdjOEo39oqH2cWjnZqBdA7K2u83Fwk8aCALwsMHB2BRdKy%20YyO9XVR32sScKwCanZz36TCFBR/1/RC4Y7TQRz6WjnT5wfvO9Rc1jrSkg+bkS8mA1LIzK7fdgtos%20PLLaS2szBPEScL6jEGvAPAq74k9DxdD6j6z88tvPuQmr6u/AE1Uy7TTPqiurRJEEco3BoGRky0IM%20/XNxp8HmMjBDhWD0qDECUlQpxBGTTEhIkYrk0DYxAKzvQfUEW4u6tD508MXvHkTuIAy6PFBM3n5D%20YK3InovPSMyuctIsJJUccUXPyNyps9Ps9InOHW2r0rrW2OLLMzZTmjItA/JM/9CnhkDRMyY6Hb2p%200e1SivS7SxdtkkXd8KxT0yM5knNUUks19VRUU1V1VefiZPVVWGOVdVZaa13VVVtz1XVXXnv19VZR%20fxV2WGKLNfZY/IJFdllmm3X2WbxwhXZaaqu1tllpr9V2W267BRYjEb0Vd1xyy40pW3PTVXddddFl%20911444XWXXnrtffeXenFd19++zVVX38DFnhgOJUl+GCEkeWzVoATdvjhWLE8KC4V+4zWYIgz1vjV%20D3dKk62GNxZ55OZoPGhQh0Lhy4uBdEMZlJZQNpPQpU6rFFyMSdZ5Z8t+rM9JvjBNTaf6YPvrzIkL%20+tGjkHl2+mmRfsSRr7eY0vBprgW4UABHG0dqGmqww07I5KkRqBqlqytg8TMcIWoZ1IW+FntuqOsq%20+2yDrv7zrIcYjPAjuekWXGeKAsOgAIn/o3pDrKREeuwG0Kx0acpyHvzysF++ciDUHMf7OJhVno1m%20tz1LLdHTcozbcsxbd/1bsV6XffZUA6f9dtyVYz133nvXHWffgxf+3N2HN/74ZIFHfnnmbWf+ecyd%20h376uaWn/vqnrcd+e5K15/77jL0Hf3yE81PjE/TTV3999tt3/33445d/fvrrt/9+/PPXf3/++/f/%20fwAGUIADJCD91EA+BCZQgQtkYAMd+EAIRlAlAQEAOw==" height="297" width="490" overflow="visible"> </image>
              </svg>
            </div>
          </div>
          <div class="fig"><span class="labelfig">FIGURA 5.&nbsp; </span><span class="textfig">Comportamiento del conteo de plántulas por surcos.</span></div>
          <p>Después
            de realizar el trasplante mecanizado se contó la cantidad de nichos 
            (1…3 plántulas) trasplantadas por metro cuadrado al azar por 
            tratamientos realizados utilizando las bandejas B1 y B2, presentando 
            diferencias significativas solo en las áreas plantadas con las bandejas 
            B2 (<span class="tooltip"><a href="#f12">Figura 6</a></span>), 
            corroborando el resultado del análisis (anterior) del conteo por surcos.
            Uno de los indicares que más se exige para el trasplante mecanizado es 
            lograr que las posturas alcancen en 18 o 20 días de germinadas según <span class="tooltip"><a href="#B17">Washio, (2004)</a><span class="tooltip-content">WASHIO, O.: <i>El cultivo por siembra directa en Japón</i>,
            Inst. Sociedad de investigación de la siembra directa del arroz de 
            aniego, informe científico, Japón, 32-40 p., Publisher: Japón, 2004.</span></span>,
            alturas que fluctúen entre 15 y 20 cm, siendo la altura de 15 cm la más
            adecuada para el proceso de la siembra con máquinas trasplantadoras, ya
            que si la postura sobresale esas dimensiones ocasiona interrupciones 
            una vez que el órgano de trasplante la deposita en el suelo (<span class="tooltip"><a href="#B8">Menéndez <i>et al.</i>, 2012a</a><span class="tooltip-content">MENÉNDEZ,
            C.L.; RAMOS, D.S.; MIRANDA, C.A.: “Determinación de la tecnología para 
            la obtención de parámetros de calidad de las posturas exigidas por la 
            trasplantadoraTMA-4 para el cultivo del arroz”, <i>Revista Ingeniería Agrícola</i>, 2(1): 59-64, 2012a, ISSN: 2306-1545, E-ISSN: 2227-8761, <i>Disponible en:</i><a href="https://rcta.unah.edu.cu/index.php/IAgric/article/view/582" target="xrefwindow">https://rcta.unah.edu.cu/index.php/IAgric/article/view/582</a>.</span></span>; <span class="tooltip"><a href="#B9">2012b</a><span class="tooltip-content">MENÉNDEZ,
            C.L.; RAMOS, D.S.; MIRANDA, C.A.: “Evaluación de la calidad de trabajo 
            de la trasplantadora semi-mecanizada TMA-4 en el cultivo del arroz”, <i>Revista Ciencias Técnicas Agropecuarias</i>, 21(2): 34-37, 2012b, ISSN: 1010-2760, e-ISSN: 2071-0054, <i>Disponible en:</i><a href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S2071-00542012000200006&amp;lng=es&amp;tlng=" target="xrefwindow">http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S2071-00542012000200006&amp;lng=es&amp;tlng=</a>.</span></span>; <span class="tooltip"><a href="#B10">Minh, 2012</a><span class="tooltip-content">MINH, R.: <i>Manual técnico del sistema de siembra de trasplante mecanizado del cultivo de arroz (Oryza sativa)</i>, Ed. Instituto Nacional de Ciencias Agrícolas, INCA, vol. 1, San José de las Lajas, Mayabeque, Cuba, 2012.</span></span>).</p>
        </article>
        <article class="section"><a id="id0x51abd00"><!-- named anchor --></a>
          <h4>Nichos por metro cuadrado trasplantados</h4>
          &nbsp;<a href="#content" class="boton_1">⌅</a>
          <div id="f12" class="fig">
            <div class="zoom">
              <svg xml:space="preserve" enable-background="new 0 0 500 300.416" viewBox="0 0 500 300.416" height="300.416px" width="500px" y="0px" x="0px"  version="1.1">
                <image transform="matrix(1.0395 0 0 1.0395 0 0)" 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lQuczQMD%20EAIDmDCAEgxgAHCwhG4UuNiq3OG/wLxoHhqwgwZklRYKaGMGCsDfUanXwy4AAiCKyeURY3b/DCbW%20R1RoEIZi6uDGyirDGNJQTCDMYSoFyMAcSCBgohYCtbQIA37HbIyoCAIKANbBb7HK5UakIZSpKMUx%20ZvsV4l2iCB4QmQOS5AAJwGEAXQiGVBDQMw94QAgAeCICAPBqe1YFiVNBhiACYAHIpuMIxexyammh%20AxK0VhB3gkYESrGAQRgC2F2mQCMMgV3k6iOPVCmDArB6Z2U5IR3F3MAeOG0VSvj3sYH4tSmo2wBQ%20pEEAYdiDEzadlEQ4dgEceDYFog0K4y6ABRGgQaPH8sAKcOEFEZNYFMKrvbYgAwrHYPZ701CILjdg%202kDQgQXIfR1ikLHXCqAFxYt62XQEYrML/+aKPixMARcMPDFoGMMckA2YRLggD4VohAKOARZoRDwV%20E9/3RjfAgUCEnKtFzYMhOKADgAeA5mvp7j96QPUejFB3cHk4GoAJ4kZktN0cIEEGhEOJMgIzHcOs%20eGWPkOhMZwDqX4HCICrrAmwLhgV8zgMQWJBGvhjjBmsuBCBYYPewIEMfvG02IEAh3B3M1xQGDsQe%20FFz4tkjdfXqhQSIATFrhFsIQLkAD3ElzByiwN82A2HJRtZrZ/IZxLYngAAVMsYAy/+UOqUgqsL0q%20gDFkoMF1yUAYpgsKFwQALgWwNyYkPYgFlCID+rC9t3K8sMAKBtdm0ccNBoH0IwyC76Bp7v8NFhDZ%20PDQetWmodo2B/5bYS3sML+9LGXQQX1o4ARMc2DIF0qADJ1SeLQVAAoZwaLmlHpcnLlUmF4KABi6w%20Zry3AMcQf4+hYgAWBhcVY15GdJLnBDamFwFAC9KWCsvFFwHAckAwdv9AA04QBiOnd5iwXW6BBkCw%20bhjWd59zT1MhDFVQMAlIFwGAf5Q1DWFQChyHGKU3aJKGURm1A5CHaZpWhHuRASCYByTQFxFAC5Wl%20A2XQFMewAIAgXBQACAsQAew3FtCwANNwaECABu2RQlUgAw/SBKZGKM2TGAXgBDqwAdQFCumwBygI%20GKY3fiCWhl2Wc8blAgAncImRAWsGClX/qBeloIegMAb/lxTQgAlAgHMNkAZhsHFjYQHpUAiFsAEk%20gGfrkUKghgt0IB9YUAJBgnWKkQFjIADuRAGGoAOiZxeUoGLMFnJpmHSGQGzI9XSPcQxrdgQsYBck%20AGzISBUFMAd5qFGgEHYw2BUBcHOVFQg81x8pZAmK0gQ5lAsl0DYN5xhlcAMKcATUdQR7V41tIQgr%20pk4it2XzNWImN3lvhxnGWAjNKBc0sABeBwh/dhUZkAq0AIaAEHoSaGUsEHiAcAMLeYrUxzFU4xRd%20gAMj8AKItTeqIxfYpxd3EAENeFpiGAGVyBWPtnU6wAGL11Xv1nzPBw3ShxloYAhZVQpx/wEFdVYI%206bCNWQEF29d9g3ADW2gVx6AAwpUHLuCO3DiRMxNYwzAAH5QzVOABYxMXH8kXiYCJW0ZfCnADUIgV%20jdVbCoBUMUYBoLABx4UGGnYaaIBR04CTbpEBskcBCsCUWWEMc+ACGHVxtOCHU0EDe6CHFJAOFrAo%203VUFt4AU/8AARFaOl/GMOjCAfpkKx2cVKmZGIcdnRWWLRbcHNWaKqeEEfDYNA7kWc7BmjeACo2eN%20e5AOlHWLuegUMlhMabAAYdmUOAgVwfBQPXAJ/QOLmJEBe0ALtbgBGteaSXEHicBiKwljQgcK0yAA%20kmcBxyCasEGa+3eaZIF3/LgHM/kVNP9QCgowDRqVB98nZ0qRCAugjqYwCBGwNE5JI2BQahBjatVR%20h54xnmHwi3nAAZhwfMZgb+2Vb0j3TnkgAM3HApsWkcNRCtNAARvAhmOBezi3AXK5FiE5krznezRg%20ASAooSSgnHIzn4HVAj8QA2rwAjAwADjwM8LZGbkQAV7oeQKgA2EQXfJlVBuQDoiIBgFwktlxA8Bm%20CPEZFjSgA+smAEf6FgFAAvn3TtSWhqYQCH8on7vJFJZgCf/gBeVBBjkSo58BBZgwCDhXiPv3mU4Q%20pI3CAkllpGBRglgFBJcpFwVgAYHwixQgADcQnohpohXZFFiQHhowAEnxAuS4OqhRAGj/sE6DMFbQ%20pyuYAGwC4JNbcYWHpgO5+RbE0IW04AJtmSspdAElcAG7gAMB9AK+oJ+pUYbKQgLEJABXihWlMICT%20SKJz4aq40l0IwDwYcBuJqqhK9BXEsAfERAt1Wm7LOGLJeD4pdHX00oPDShWpgFvJCmgLsG4CCT8p%201ATpoRRkIAS5A5nT6hXFAJAUwAF4+RTQsJM9GT/q0wtfYAU4kCZp4ikDRa7DGgSR4AcfkABaYQwL%20MKfryhTHwAGHpgChij7qkyAT9LAeICNiykNBIAJ2gAezEAI1YAOuMANxYBV34AJzqp5PkZqFUHzY%202T3qQwdcoAY8QCAwSwdHI63d8wE+/2ACeMAJJ3ACf6AFdXAFerCxj3AGiCAVgiCyFDAIJMsU3pkH%20e+Cg3DOqThkVuRADYkAFjZQUu0AFYrAEU0Zl04oIIKAFeNAKfpACchACENAJdrCzncAJfUAAQ6AC%20QXAGT/FgWKUARSgIY3ChGdpAUjcCgju4tTMVzuABrSIBPGAdKIBwZuMBj1lkNPs8RmACdrAIS5EJ%20jOAHrUAAU0AIJsCzJ2AHhDAFBGAEa8AImVAMSiEIOnBogUBuSQpbAkChJ5RCzuAGD3sjFjQVXxAD%20MnILmTN1QsADzOMpWIBePbQGeEAKUpAJUJEJQTAJRkAAV8AJnbCzdtAJEMAKcpACqf+LCgUAC/AA%20DrAwYSWohtcKuIB6lYfDBRcQvxcADLaSFUIQHgbwA2SSFACAA8EZFVnJOhMgAqQgAhNQFQngCY9g%20A4ugB1eAB3+wsydQB33ACt+QD4qgDfzgD+RAC+BgClqoRCmUBeXxFVXwAweFAXCSFA0yJ1LBAJPL%20Hx9QCY/AGGcQAloAAQfAFR/gCpWgClIwCxAgCVqgBZLACYTQDuIwDhm8AELKre1bZDiQr1yBBTyQ%20MzuSPT/yik2BADHwxWKgBkywC2RcxmZ8xmicxmq8xmzcxm78xnB8xslAA9agAlNgAn3wCeEQDXHc%20x358xppwCHLADMywCpvwx8qQDLL/sAk0UADRcArZ4A2rAAnyALomIAqicMSEoAeoiwTdEA40QAOb%20oAmykAx/fMqonMqqvMqsjMqv0AVR/BQtcCM4UMsahDVXgTlNkBQJ0jdi8AOFSzhfbLVJMMatfMzI%20nMy7oAyasAnZAAmdYALSTAjssAnKoMyqrAybgA/MYAcgcAiasMqK3MyNXADvsA0HkAIgcAWEUAdF%20/AekgAfyAAnxgA3PcApzXAA0oAnJYMrY/M8AHdACvQuvHMtO8QREAAAGZEC4cxUJ4hxJMQISQI4r%20Cq1OoUWlEgc2cAWSwAw+UAOEQApXcMCC4QoQYAesYLdugQodMAGTMASeWweWewIm/8AJGVsDb+AK%20H4AKKmvQZSEDPDBFSuELP/Ctv/ADSqC8ixIEBNAJZFsDH/APNlAHfzAFjBAYjHAFfzALNUwXceAJ%20QVAJNRACfcAJEVzEPysFi2ADj+AJRcs7B6gVggIHWfBHWbCqXSABAOAAJcADWQvAMUwcfNAKhKAF%20dkANfrAUKUDVPjADf9EBekC2KvAXH+AHkbAIalsHbUvTeHAFp6sCj8AHrJNCPYAFrPICp/1PUYEC%20TcZPJeAdwVAEL8ADbvDXgM0oBxACJvAHEGAE0MsURtAJpBACUc0XqFADWmACRoAYfDADnEsAPkAI%20bRvBJjALUwACKXAAMyDagJNCmP8jBkLwA634AjI7sXFxCR9wAGw9GB9QA5yQ3HoQBE9xCUNgAqSg%20B57AF1NtBwQAsDYcBCpgBHpQ1qE7up1ACCGwCJGg0/+rNCmUA2qgI+UBDE7EqnCB3tOrCmTNCSZA%20CCDgByrNF5dgx0UsApHg3/NdAyagBQTA3XWBBBBQ1cU9GQlwBkjAwFLQB0591hDQB1IwBJMQBDMO%20MykUxp3iAUkxjhZuFiw9ASoA01OAB3agBTuLByetBZ3ACing2HoxASBA1Z0AAlc9FYggB5YLAh1Q%20Fx8wBX9ACEjQGQnACK4QCXIQ3XWws39gB5xw3XPLCB3A0wiTQiNQAghAByWQA0X/ZNtYGdhUgQgT%20kM5y8Ll3fgLJzQnUAAJG4AdIYAR3bNizUAOu8NZxkQBv0AeGfQUqwLpV0QEgQAomIAdpLhesbgd1%20YAOkUQxxHuAgQA2cMOU8WwelKweRcACMIOr20l0Y8EReAAf6O7NikcBIQOdSIAKdEMGU3uN6MLdt%20zRQfMAl6AAGUjgdSYAP5/RZIoAcrjgdQnRUdQAB2YAI18LFxUd92oAoNXhrFoMAvneMQQOU9i8dq%20/QZ1a+zkEtfR6hVnENYwLQJ4UOAm0AmzELQ57QmqDhWX4Ao10AdtawJXMATyvRZnYASFbQchsMNb%20cQaRbQJDcO9roQJUrQex/hqo/+AJB/AGNSAFhMC2O4uzcQvkQfDb3BI9BvAARF/0D0C4Sz4VmusH%20UF7YElzdl54CHRvzVzEDkRACVK0FhEAAaxDiYXEArDDlhGAEVK8VnhACf9AJy+0WjzALpNAHY34d%20HTAD6QwCPjALBT66pXu6fqC60xI9KLO7D9u7wjoVH4C2rLC20/22VwACrQDaKO4VCeAHICDdae8D%20rRD3XTEDNYAHyU0AH/8VH8AKWJ4CbeEJYc8JJs8eHfAIKtC515u9Bo7gwt7VuhI9voAABcEGZND7%20CIAALqyvUIEIerAFPEu2VyAFNUDDZyDvZVEMjGAEN1vicuAKZW8VcTAJVzDlff/wBgTvFYwwBaTQ%20CW+wFnEAAu9u+neCCGfwCJWwCFJwBe5s7R7uBy5OKpcXDPrfLz0IEHFUEQqxyIarGZf+LWTY0OFD%20iBEbnlGhB4IWLXWkvPkgMeIEEHW04AHByONJjxOukMJjA+XLh61M2FkUB+ZNnDl17pQYZ4arN4tY%20EcJYJ0SkjjyVLmXKdAUMlLhu3cLlsUIJCVmz6GrK84KDm5f4JOi6NE4QVX1M/DHRR1UQVCg7RJql%20xc4UFcXKQgzShxQnFXsX+sGjJcQZwYkVl92XYIKRKybs9qmBROFizJk9Po06tWpEDXCEPHliBY4b%20MJolflWdecabEHhO/IFAYBL/H4lI9EjmpMpTa1ezSEHws3dCnz99JrRm3hzih0pSOP3RwomACtzO%20tXflfFIqVYmWcDTE8GPE9oWs0e9F5EcOITsnOk1p9cihpyEXTYRw5fwAIVIIOaArPqRgaY31EtQs%20jgPkmCW++VIwSUEKT+rOo+8+g4gKNxpigIfz0FOvwqYYacWHTjCaBYQDOojDD2rssIOQVrJzzg8I%20SBEBCaZQWcQOE4wgcUjBTPRBMjtEkAMJsogc8kKJMpSIjAGiWKgKIpLoYb0RnVSKDxUIuCgjKUDQ%20jwD71lOBE1L6SJOnN1IEAREv61wqk0kI4AQjPPSoBDEFO3hkjQMSohDKiKSM/6iLrH6AAw4JHv2B%20iO26tHOnOB5RJTK77OjDhiYTrKQOUq5YbqcDcqQmqUtbzQmRIGroAyMTpjDiVOb4YOSAFAjwYZY6%20OOkjhBoqCeIDm7RDFCJFIarAii6okHaJaKloolKwXF3qAxukgECOCSuMUwtqwr1phiu0ICQIbdvN%20iZFIWKnjhADl8INOxeL4wI8UFgmBkE7iO8EETgo7QQsT8LiCACMmeSRUzZZ9qFltLXU3pwQ80YvI%20Vur4gxVWX0pAj4wmufhkmDpYw0wt/sAjBBtC5imBD5B4o4YQRNjzYC06uUKPRd5A4gAjQBgKoxPk%20I+QKEFLwY4IOMJPYIYpdtf8YZawZKsaImUL4DSZVTDBhiI2zNvshVIIYQi2Er1DlkctgQiSTIGyo%20QY8rRPrjYDxmYSVohCBe6IxBjdCjDwhMSBrhWaSQIwVXzsCXO6i88+ziq89GWaCZ9MjkpVFJISBq%20zUt36APYRNICAhD8ID2iM4JYwwgCEO9kcRMgYEWOVtaYYXKU4sjE5rvVEphgEfRQZRIkvlZq6oaq%20bjVz091FpIa1Rj8pCEL+uGKG6sNniI8DQOi+5xBSSAoVPmaYHQRq4PtjbxOWZvhpQJlK4KdI5Ph1%203oPRxgcEGMIaGMGHuMEEegyR3qWoJz5XdUAOJiAFCATXkA/4wA4Q6A8EPfj/CMgori2q6B8rICCS%20g5mgDgsbgsM+pxnHrKEVIJgCJyRzsDpAwAePY5cCK4ehy7nrgR68VAdAQAoT1AQicQBBz95ARCh6%20ohJ6KMzerMiJK0ihBjYIgicuyJxLeGICKlCFFK4AgaSdYAucwJWFfhilILZriFCs0xkIgERVJKsh%20XCNFDRJIR/ExaBGEIEgN3lCoS33AFXYLAQT6AL6XLHAhDRSMAWTAC4ZYkgubfABM5ghIJ3lCCkAi%20W0PWgAdSSOGFoIziB17nrg58wEYokeQ/KNmVYLTgBRJAAEOykJWseCAXL/kkK4fkCVaQog6tYMgj%20RJAccxlTmh6s5S2bIgYc/2CBB8BgiCVewABd6KIKnszWNLU1Ax9kJBL/yAQr7MCJ4phTnuKrZhwV%208wBhjOAH3FyIJUqgk2LOM0Eq+UtQxJYCgSa0dPUEj2Y0sM9uwiELWLgWTMhQToXW6TgJw4MJ5KDH%20jIbUXQzVEGYqANGFWOEFP/iBBIjABIkwQAMy0EAMkgAGXuRUpzvlaU99+lOgBlWoQyVqUY16VKAK%20gh2EmIk8uMEEpEZVqlOlalWtelWsZlWrOgWDFd6YKHsu5qT8dEgRJGCliIxADGu1hBp4EU64xlWu%20c6VrXe16V7zmVa975Wtf7zqMUXxiFj6Yxyjq4VfEJlaxi2VsYx37WMhGFv+uuKDCV5kVVsWMNSI8%20aMNLGIBRkXrJE6sMbWldRVLV6JMBC7lEatIjgRYQE7SmpW1tbesQ1GIGBTBogwSo8ARnMMEDWIAB%20DHhQAl/I9rbLZS5tc7sYMUSqpXDoJAwg5VIDkLO52+WuQJ+rGDBUoQq44AUutvQPMLwCkzcJaHfd%20+16sfddqs4Vvfe0bX8tODLMOpO99/ftfO8l3ev0FcIENnCAB8/fAC2bwehJsp/Y2WMIT1smD6xRh%20CmdYwxGxsJcwvGEQb7jDTvpwiE0s4RETqcQnZrGBUzykFbdYxvd9MYliPGMcu7fGFbpxjn3M3B1T%20qMc/JrJz80u1/UKYwEX/ZvJ7g6ygITdZyt49cvSSfOElT1nLtn1ygqK8ZTADsstcynKYzazQMYuo%20zGdmsznTjK02x1mkb9bOl+V855PR2Tl2xnOfT1tlBl7Zw2v2c6E1p2eUMIENvXAIGxCQXe0aWtJE%20RLRVcACHXi5EGA4A5hKGiRI+T1rUCAb0JAXNFCuUIAkozYUSJPCEB7i6oicJ9aht7ZxKR4QLCNDn%20LRbiDB5QgSED8IByb31s/HamoZl5KD9HIAEMMEQJLzivRxBAaGRnu0K5lohm/+EFOIToH1j4wS4i%20UgUypFsGluhBL9z9bnjHW97zpne97X1vfOdb3/vmd7/9/W+AB1zgAyd4/8ENfnCA92AJsbXcsk2K%20Ui9IAAUMoUK5I/IAS2QcAESogi88/nGQh1zkIyd5yU1+cpSnXOUrZ3nLXf5ymMdc5jOnec1tfnOY%20C4MKaAWiw8WK0gdIoJMLccALgoGSi2pb6X9WdkkX84AfQJoMcOgCQ0rQIVBje+lbbw63H/KLEcQA%20Dk1AQRWCAQAJkL23FTA2192+7VLb8tRL+SUwJcB2BrihUQzP+tv9riCvO4QOF7gAMC5wi/XmgvCr%20jfTfHY/ruFuTxFp/fOWfF/m5w5jyluc8TgKPmVp3nvOfX0zoRV950ivG9Kd3fOoTs3rW+931goG9%20fV8xAtfuxABkBSQwIP+9k16MYJwLnv1eak/bJyRh41mA6UNS7fSIXEIDG7fCeSvwAjY8ZN0bT0Km%20GbJuMlTookTYeLQfQocXxH0hX8gCANQwcfR6oLMOGUYWiED+H+aiAuSnwtFrW/yyOD7T0rsSKAE4%20GABza4hXwAErgIkleIEClAAAOLpcwIEseAgikIACZKkQ+QUH4IG7qxANkAAIBMEneIgVKIHhOwkG%20wIENpK6F0KVfcIhnOy6sUIKjiwEblAA3YDQjazrM2TwAcwNK+YcKgIMicAgZ4IFe6oVxqgJduAxd%20+AKGGAH4owKhWwgqeIHmYwgAGICFMIAfSIKUAoAlZDsKOans6gUPKIH/9VqIYBgAJdC0hdAFYbiS%20KLwSGVgIBvgBNVgIOuABnluIB4ADNLQEOAg/FAiRJQjBH2w46FMwFnMDAGAIHCDDhsiCEkgNDfCA%20ipPAW8hAOBjEhcAAONAAQvyBofNCMFwIHPjDfxgnMvgBNFSQk/K1f4iCqGsIMTzBHgAAJRACCaBF%20L2gpIeAKh/AArPsHD8BEhihENGyBHwi/hhgBOPCC/8M8nxuw5SKGCNCBQAhHcRxHcixHcdQBJ0CG%20hXADWLwAOBA2hsgFDyi2fxhBOIgBs/oBD+ACIYCD7GsIMeCBYeDDF+C7hSCCEmADNliBF1jFf7gA%20WsyJCZADEKhIi7xI/4zMyItcA4U4qeT6ByJ4ASr8PgkIEQ+QQC4YADjggRUwq/ljiF+4R4ZogwHw%20v4WwxhgggxHAASXwQYbogh+gg2wEQiESQmMqgHSwhVrYAaZsSqd8SqjcgVqwBUMog4UAgBJYKx54%20gY9cCDC4xIUIjT1kRi58yFPkxR9YAob4ghLAAofIAbsbAGpMj4gMCynYArzMS73cS77cS04AnyO0%20hPaTgBhwCGkMv0sgtrBMu4UQAnrsphIYyX/oghe4wyq8rqw4wYbwhWDjMm2MRCVbLmPABA4AAtM8%20TdRMTdU8TQ4Ygzs4yGEcQ8ZjiK/ExCWENEpcCDb4AVRcvxcQgk/7h/9eKAHQUoMXqAAM0IACdAaG%20gMhafIliqIQQCAEpqE7rvE7szM7qJJaoMUU4+IES8II/ioFdTMwL/AdTpEYiWMZ/MI3nJE9kvEmq%20wwAMwAI4+CFcKAEPsEnTAsCuEMDSIkKJqM2FWMJMcwOsQwDevBIcwIGSYku3bAgiaMV/KERspMvn%20XI+H+keIIE/ElMOFOEJ+AoBlbAEJ4AKHoEzLJERDZAgPaEUmGIASSMChhMQgbLHcjAh5pEcDXccE%20XVBdmMeHYICCdIgvZIgYcMR/6EP4s8Uf8D7tK8l/SMw5NEI4GFGsI8/ebAia9MkKhQPzq4IXqMQv%20EIKaXC7/bAoADS3/DxACjyg6RgM3XFRMs0RFTsMBNxACIUjCClVFh8hAPe1HIniFf5ABM5UAHBAC%2081sPGYCDC5AINhi7f8iFErCExXzUf3DMfwCGSAEAPQUAxhMCWKxCDdTTF+CBTuotPNVTtXzEngNN%20LGuxLmjViPACHsg+FLAExuuCqlvSJHjUFXCDFx2AAWjAySzLhmgCMyXWGPi0lBwANyDWDK2zJPi9%20hwADEM0FMaicUIQ0atlUTyXWARCC7AK2r/KFJBhWAJjBf4gBYRVXeOzPz7xRKRNTWt2JCnxJKKKC%20EoDVl4CBF2BXF5vXotSyLuhXpaiAWwWlX0g/pQADD6jSA0tTpljT/+7ihQfIPZ0wAEwFpQuYS50I%20hgdYwYElSjkyythL2X+g2KWwWJU9NpZFr1eYWSb4o9VA2Zc9PZZFgBd4lEhpUlrD2ZztPJbFAAlQ%20ghhogSiQzKAdWqd1I5NlDqOF0sZ7WqttiKJ9NQTg0JcABqG92r9j2aADJktg2ofoASZI2xFwgFxo%20W7d9W7iNW7mdW7qtW7u9W7zNW73dW77tW7/9W8ANXMEdXMItXMMN3CUg2ObghRF4gAewAglYMgxQ%20A8olwir4BczNXM3dXM7tXM/9XNANXdEdXdItXdM9XdRNXdVdXdZtXdd9XdiNXdWtgsqK2u0ISUKN%20iB4AA95d28P9Xf/gDV7hHV7iLV7jPV7kPd7EtV3tAAAc8FKJ8Fqwnd6VVVzmiAIY+IIveALfqlrq%20dVqWjYLrggMc9N7vzdmYHYEmaIJp9QiXPV85i1mv+Fr4VTr53Yn3rV82u1+Aol/9RTb+zYn8/d8w%20C2CcGGAC3jIDZi//TeBRW2DzdeDRs975kuDYg+C2s2CipWBu1GDRw+C+8+ANZl5JFGHLA+GmNeET%205uASVuHWY+HQdOHHQ2H3bWAZjjMavtkbfmESjuEdfrscjggE/mEWC2KIGGIiNjEjfggkTmIQW2KH%20aGIn1jAobggpnmIKq+LmtGEsnjL5ZQAUuIBqC+EuzraYfYKWkgD/D7DWGi5jbctaJUABLuBB/tRh%20NwZgGMYMIsCBy1iCK83gO37gPF6MF8iBZzxLlEAAiQ3kUSsCgwSrbcyMKuCB8/wHBGDMiNiFqbgF%20LiCCTf5kUA5lURZlNjCAUT5lVP7kR0tlVj5lA0CAVo7lT043Wa5l3yODWpblUs7lWF5lXm5lX/7l%20VH5lYR5mNihmVKZlZD7lLCDFy4pkzJjkSkYASb24HLhmrLxmbd5mbu5mb+bmaP1mcR7nbU4C4iRn%20dP5mHCCCdG7nbZ5Hd47nHBhXeW7ncK5ndFaDc8Znct5jfkbnSv3nccYBABBocTZTBzDobx6AWYMj%20aMaMF7DUUpSA/y31CANYZMF4ADFYjGBwxsRwADYuiyLQTMWggoreCw2IV8EQBolWjKRbjCQITsHI%20AofciyZYAcxI2h7GDA/AAf8Tg2kE5L2ogEoWjC8Y1Y/GxcSoJZ7AggtNDC9Q6b1gAI+mPS5eiFxQ%20A5Ldiyxo36YoDakZZMWYYwd4AO4ltAswZLHS1734giJUjBzgvb1YOMwQg6cWDC6I0MRgAKSmPbVO%20jFzguMVoA69miijoVcWgaxvVjiK4rrKFiVsoasHAAKkui1246oXIAqotixgg6cTogpMuCw0w1sT4%20BYzei8hejFxwgK0uCyxYVMFoAj5VjM7e6cx4ZZBFiV6g0cQAg/8VFYxLMNu92IU6LgvyiuYuFAwm%20aO2uCG7M2G3M+AKb7Qph0Ni9eAXm7orjXmxG7m5I9lfvDmTJC283Hm/y7mLzPu8pTm/1TmL2bu8f%20fm/4vmH5nm8Xrm8hAoDC3ItgwIAXBYDcZopeeAJiBYDNbooeyAEh4FqmaIFhHQDELgsvIFYP6Fim%20YIBlJVYhcGalQIBlbQKZZgphmOcBQNGuMNTnHAY1INbQvgk2AACcbggwEIMkeMOdQAE34Ln+/u8A%20zwn8dhUmWAID7Gum0AAeQNAf4IGQVgppRPJdFIxGVNKm8ADRQNDZ7oreUsZ9LAtfUAMEFVYJkGyl%20QIGtjFYJuPL/paCDEvgBM39knfCFojtzhiDS38QKz4aJXigCA6xEhqiAAeCBHxBumKCsni0nI0dy%20JV+KH58eIXgAIahqpvAFfirEe2UKRwtR2KK9F7CCH4BtphhXsRpFhijurggNcWOKLHgB18KBx2QK%20oMRUAEBWnmgCALiAEtjvf2iDH1itxCyB334JD3+AjWOIXkgCR36BgdwJR0cBEF0ISWfRSvfxzEOZ%2082pGzAC2CN8LazTxsnADkAbTvRBSxUgCCsWMYFDGvSiCXWSCEjhtngCAx5QBP1WKowODF+DTYGh3%20hmgCR82J88rRSd0SgI1Pf1+IZncIXeCBbJf2hzYda18Mfrfw/6Ygg+QcgCSA3qVoAR5whqnz9KU4%20SZYigtlkih7QcpZyAEFnCqMdy66ogliPAQBg7bJYtY/kAkReii94gf3+gh+I1wrIwp0AeCRF9k93%20d5uXeIYHb815+MQQUy7mtKyIdqXwhfD8BwOAA6BliqheKzh4AYJXCl7ACjUQA05LguleCqwkdaV4%20tkiJ8a4wxRK4v12q6Z3YhXsPw7Qk1RZ/CaGPQYEs+odweqZYdG1h+r1gwxlNjGFItyStbJ5QAh5o%20Ai5oRCqQ61LHZKYAg7iXNh7Ibp6gZjRniiVcATJA4/J9exkdAG9SaqXI+f0Whh/Q6yOke5jo+3Yl%20+qU4+IVAfP/e3gnCdxXD7/YXEMrMME7r5gk1wEytUIyYdHOeEFaGKAIe6H2mUIJA34tLAMuFWAE4%20WHKneAGlRwlhuPt/6IFCjn5Me34+bwhdSnal0P1/cIOAbYrfbxUh+GvtxkriFwwNAIhb//7tKuHh%200sCEChcyXIjrC0QMcGS8amjxIkEZCR3AQYDx40IsEjx+KSEkF8iUA3/9EKNSJZgXA3oMVPKDwUuM%20X1D+0/CDSs6Ll15ESZgEDrB/wl54CBY0IQAiDKO86PV04YAsCXEBKEHnKkNct27hAmv2bEoGHkpI%20kFBCK9qBMST8wFGiBBEwcQcm+XGXB48HexcCk1BhsIESLxT/w1ky+B+DEnBK/Hgx4vE/MRIMYP43%20l8ddOF0Ga7grWQgvtBhwvKBbAsY/Ay8m8/hxOagvN2zdKhkohrIEppyDklkrYTKWfy3o2sWrF6xY%20sp2nB6WjhIglS0SKDK6QIwmR8Fis7u0RI7ySX9QZtCHz+EJ4IoIxMwCfQ1fnLjGoV4h/eDAuWYRX%20VFwXqIHdgV4MRIcDROSA01NftIEdeI55RoQa2jmgXlAM5EBEEuC18I934IlH3lXRlUUdiy26+CKM%20Mco4I4012iijijfquCOPPfr4I5BBCjlQjkMaeSSSSSq5JJNxFdkklFFKOSWVVT72pJVZarkll10G%20iaWXYYo5/yaZZaoEpplpqrkmm1Ci2Saccco5J4xv0nknnnnqiZGde/r5J6Br9hkooYUaSuWghyq6%20KKM/JtoopJGuSQcdVSD5qKSZarqlM2q0xQMXT5ERhTAuYropqqkyKcwAEsTgRRtwXBBUExJwyOKp%20quq6K5BFSIBBQhq4988TWWQB7D/BPMGGBlkUgVAFbkhgCRVf7YJFFivQNBAbxq6gEBdZYAHhRbny%20ei66MwaDgxANKSFBbXCMyARrgEmQQy4rwOGaAQzgABgcauhVwQ9w8CABAKnF8APDRCBU7lgrpjsx%20xTdWwUNyC8kgAWz/EHHTP5QJRgUc7jVRMl8eMPHPA3B40f8LDgNYWoEE35bgwD9gyPCwReZW/DPQ%20YF2csUJqDJAQChOFnPEIthGLMhiSwTG1BFGwAQey/wjRbhbykguxdEGLPfZgvbyA80IAtDuQATwo%20iANQLDv9REcE/SDEEkusEIMBD/yQVMr/MFFEZTHw1HPEZCu++FWW8LBLQgbQkUQJ21YAh2A4ZOz3%20ZTDAwVkPZy/UsoIDDSDVQL1QIQHgiIfNOOyxW5Q0DigYEEVgGEjggAEoyAQGGJoPxPk/G0dhQDBt%20SMCFAWTkcAEv/z5gQBYSPIBLDiP8ou+sYEssO/jgc7HbD1g4tUJbEuCQ1CsluMQyHJexCi8dXxCR%20vgecoUDaPndMCNFWYz7is/AREF270IAGBJKQC2igAs+5hO2IdL2BMKACI+AJBhqIoi9UQANsSAgT%20GngbPiWugCY8IZAGiMIVstBJJWwhDGNIHRXKsIY2dMgLb6jDHYKEhjz8IQp9CMQhhk+IRDwi44yI%20xCWKLToVYSIUW/iKWyBAF7i4IhazqMUtcrGLXvwiGMMoxjGSsYxmPCMa06jGNbKxjW58IxzjKMc5%20hlEXCCADAsaixz3ysY9+/CMgAynIQRKykIY8JCITqchFMrKRjnwkJCMpyUlSspKERAAbAgIAOw==" height="289" width="481" overflow="visible"> </image>
              </svg>
            </div>
          </div>
          <div class="fig"><span class="labelfig">FIGURA 6.&nbsp; </span><span class="textfig">Comportamiento del conteo de plántulas por metro cuadrado.</span></div>
        </article>
      </article>
    </article>
    <article class="section"><a id="id0x51ac900"><!-- named anchor --></a>
      <h3>CONCLUSIONES</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <p>En
        la tecnología de semillero en bandeja al momento del trasplante se 
        encontró interacción entre los factores en estudio, cuando se mezclaron 
        los elementos componente del sustrato y se dejaron en reposo, las 
        plantas encuentran las condiciones adecuadas para el crecimiento, en el 
        sustrato de cuatro elementos (ST+MOT+FCSM+CAC), con 30 o más días de 
        reposo; lo que permite lograr plántulas de 15,37 cm de altura y 2,19 mm 
        de grosor, a los 19 días de germinada la semilla, cumpliendo con las 
        exigencias para el trasplante con la máquina ERP-60.</p>
    </article>
  </section>
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