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<title>Efectividad en el control de malezas y fitotoxicidad de Guateque GD 75 en caña de azúcar</title>
<meta content="formulado, Guateque GD 75, Isoxaflutole, pre emergente, Formulated, Guateque GD 75, Isoxaflutole, Pre-emergent" name="keywords">
<meta content="Rigoberto Martínez-Ramírez" name="author">
<meta content="Rafael Zuaznábar-Zuaznábar" name="author">
<meta content="Javier Rodríguez-García" name="author">
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<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">
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<header>
  <div class="toctitle">Ingeniería Agrícola Vol. 12, No. 2, Abril-Junio, 2022, ISSN:&nbsp;2227-8761</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"> CU-ID:&nbsp;<a target="_blank" href="https://cu-id.com/2284/v12n2e08">https://cu-id.com/2284/v12n2e08</a></div>
  <div class="toctitle2">ARTÍCULO ORIGINAL</div>
  <h1>Efectividad en el control de malezas y fitotoxicidad de Guateque GD 75 en caña de azúcar</h1>
  <h2>Effectiveness in weed control and phytotoxicity of Guateque GD 75 in sugar cane</h2>
  <div>
    <p><sup><a href="https://orcid.org/0000-0002-7752-8693" rel="license"><span class="orcid">iD</span></a></sup>Rigoberto Martínez-Ramírez<a href="#aff1"></a><span class="tooltip"><a href="#c1"><sup>*</sup></a><span class="tooltip-content">✉:<a href="mailto:rigoberto.martinez@inica.azcuba.cu">rigoberto.martinez@inica.azcuba.cu</a></span></span></p>
    <p><sup><a href="https://orcid.org/0000-0002-4275-2644" rel="license"><span class="orcid">iD</span></a></sup>Rafael Zuaznábar-Zuaznábar<a href="#aff1"></a></p>
    <p><sup><a href="https://orcid.org/0000-0001-7848-2706" rel="license"><span class="orcid">iD</span></a></sup>Javier Rodríguez-García<a href="#aff1"></a></p>
    <br>
    <p id="aff1"><span class="aff"><sup></sup>Instituto de Investigaciones de la Caña de Azúcar (INICA). Boyeros, La Habana, Cuba.</span></p>
  </div>
  <div>&nbsp;</div>
  <p id="c1"> <sup>*</sup>Autor para correspondencia: Rigoberto Martínez-Ramírez, e-mail: <a href="mailto:rigoberto.martinez@inica.azcuba.cu">rigoberto.martinez@inica.azcuba.cu</a> </p>
  <div class="titleabstract | box">RESUMEN</div>
  <div class="box1">
    <p>El presente trabajo tuvo como objetivo evaluar la efectividad del formulado Guateque (<i>Isoxaflutole</i>)
      GD 75 en el control pre emergente de malezas en caña de azúcar y la 
      fitotoxicidad causada al cultivo. Los estudios se montaron sobre suelo 
      Ferralítico rojo típico, en ciclo de caña planta, con el cultivar 
      C86-156 en la provincia de Mayabeque, en el occidente de Cuba. Se 
      estudiaron cinco tratamientos: tres dosis de Guateque GD 75, un 
      tratamiento estándar y un testigo absoluto, los que se aplicaron 
      posterior a la plantación con asperjadora de espalda Matabi de 16 L de 
      capacidad, boquillas Floot jeed y una solución final calibrada de 300 L 
      ha<sup>-1</sup>. Se evaluaron la efectividad del producto herbicida y la
      fitotoxicidad al cultivo. Se realizaron análisis de varianza y prueba 
      de Tukey, ambas al 0.05 de probabilidad de error. Los resultados 
      mostraron que las tres dosis evaluadas de Guateque GD 75, hasta los 120 
      días posteriores a la aplicación, mantuvieron un control de Excelente a 
      Muy bueno sobre las especies <i>Echinochloa colona</i> (L.) Link, <i>Portulaca oleracea</i> L.<i>, Sorghum halepense</i> (L.) Pers<i>.</i> y <i>Cynodon dactylon</i> (L.) similar al tratamiento estándar. Se observaron síntomas de 
      fitoxicidad en el cultivar C86-156 en forma de clorosis que 
      desaparecieron luego de los 60 días de la aplicación.</p>
    <div class="titlekwd"><b> <i>Palabras clave</i>: </b> &nbsp; </div>
    <div class="kwd">formulado, Guateque GD 75, Isoxaflutole, pre emergente</div>
  </div>
  <div class="titleabstract | box">ABSTRACT</div>
  <div class="box1">
    <p>The
      present work aimed to evaluate the effectiveness of the Guateque 
      (Isoxaflutole) GD 75 formulation in the pre-emergent control of 
      sugarcane weeds and the phytotoxicity caused to the crop. The studies 
      were mounted on typical red Ferralitic soil, in the plant cane cycle, 
      with the cultivar C86-156 in the Mayabeque province, in western Cuba. 
      Five treatments were studied: three doses of Guateque GD 75, a standard 
      treatment, and an absolute control, which were applied after planting 
      with a Matabi 16-L capacity knapsack sprayer, Floot jeed nozzles, and a 
      final calibrated 300-L solution. ha-1. The effectiveness of the 
      herbicide product and the phytotoxicity to the crop were evaluated. 
      Analysis of variance and Tukey's test were performed, both at 0.05 
      probability of error. The results showed that the three evaluated doses 
      of Guateque GD 75, up to 120 days after application, maintained a 
      control from Excellent to Very good on the species Echinochloa colona 
      (L.) Link, Portulaca oleracea L., Sorghum halepense (L .) Pers. And 
      Cynodon dactylon (L.) similar to standard treatment. Phytoxicity 
      symptoms were observed in cultivar C86-156 in the form of chlorosis that
      disappeared after 60 days of application.</p>
    <div class="titlekwd"><b> <i>Keywords</i>: </b> &nbsp; </div>
    <div class="kwd">Formulated, Guateque GD 75, Isoxaflutole, Pre-emergent</div>
  </div>
  <div class="box2">
    <p class="history">Received: 15/8/2021; Accepted: 14/3/2022</p>
    <p><i>Rigoberto Martínez-Ramírez</i>,
      investigador, Instituto de Investigaciones de la Caña de Azúcar 
      (INICA). Carretera a CUJAE, km. 1½, Boyeros, La Habana, Cuba, C.P. 
      19390, e-mail: <a href="mailto:rigoberto.martinez@inica.azcuba.cu">rigoberto.martinez@inica.azcuba.cu</a> </p>
    <p><i>Rafael Zuaznábar-Zuaznábar</i>, investigador, Instituto 
      de Investigaciones de la Caña de Azúcar (INICA). Carretera a CUJAE, km. 
      1½, Boyeros, La Habana, Cuba, C.P. 19390, <a href="mailto:rafael.zuaznabar@inica.azcuba.cu">rafael.zuaznabar@inica.azcuba.cu</a> </p>
    <p><i>Javier Rodríguez-García</i>, investigador, Instituto de 
      Investigaciones de la Caña de Azúcar (INICA). Carretera a CUJAE, km. 1½,
      Boyeros, La Habana, Cuba, C.P. 19390, e-mail: <a href="mailto:yusnel.rivero@inica.azcuba.cu">yusnel.rivero@inica.azcuba.cu</a> </p>
    <p>Los autores de este trabajo declaran no presentar conflicto de intereses.</p>
    <p><b>Contribución de los autores: Conceptualización:</b> R. Martínez Ramírez, R. Zuaznábar Zuaznábar<b>. Curación de datos:</b> J. Rodríguez García. <b>Análisis formal:</b> R. Zuaznábar Zuaznábar, J. Rodríguez García. <b>Captación de fondos:</b> R. Martínez Ramírez. <b>Investigación:</b> R. Martínez Ramírez, R. Zuaznábar Zuaznábar, J. Rodríguez García, <b>Metodologí</b>a: R. Martínez Ramírez. <b>Administración de proyectos:</b> R. Martínez Ramírez. <b>Recursos:</b> R. Zuaznábar Zuaznábar. <b>Supervisión:</b> R. Martínez Ramírez, R. Zuaznábar Zuaznábar. <b>Validación:</b> R. Zuaznábar Zuaznábar. <b>Visualización:</b> R. Martínez Ramírez. <b>Redacción - borrador original:</b> R. Martínez Ramírez y <b>Redacción - revisión y edición:</b> R. Zuaznábar Zuaznábar y J. Rodríguez García.</p>
    <p class="copyright">Este artículo se encuentra bajo licencia <a target="_blank" href="https://creativecommons.org/licenses/by-nc/4.0/deed.es_ES">Creative Commons Reconocimiento-NoComercial 4.0 Internacional (CC BY-NC 4.0)</a></p>
  </div>
  <div class="titleabstract | box"><a id="content"></a>CONTENIDO</div>
  <div class="box1">
    <nav>
      <ul class="nav">
        <li><a href="#id0x3828180"><span class="menulevel1">INTRODUCCIÓN</span></a></li>
        <li><a href="#id0x3829600"><span class="menulevel1">MATERIALES Y MÉTODOS</span></a></li>
        <li><a href="#id0xb0dc280"><span class="menulevel1">RESULTADOS Y DISCUSIÓN</span></a></li>
        <li><a href="#id0xaec0a80"><span class="menulevel1">CONCLUSIONES</span></a></li>
        <li><a href="#ref"><span class="menulevel1">REFERENCIAS BIBLIOGRÁFICAS</span></a></li>
      </ul>
    </nav>
  </div>
</header>
<div id="article-front"></div>
<div class="box2" id="article-body">
  <section>
    <article class="section"><a id="id0x3828180"><!-- named anchor --></a>
      <h3>INTRODUCCIÓN</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <p>En
        Cuba en el cultivo de la caña de azúcar para el control de las malezas 
        se emplean varios tipos de herbicidas, algunos con más de una década de 
        aplicación como es el caso del Merlin, cuyo ingrediente activo (<i>Isoxaflutole</i>)
        se ha aplicado en otras partes del mundo fundamentalmente en el cultivo
        del maíz, e introducido en Cuba por Bayer para caña de azúcar (<span class="tooltip"><a href="#B12">Viera &amp; Escobar, 2015</a><span class="tooltip-content">Viera,
        B. F. J., &amp; Escobar, C. L. (2015). Evaluación de mezclas de 
        herbicidas en el control de arvenses en el cultivo de la caña de azúcar 
        en tres tipos de suelos de Majibacoa, Las Tunas. <i>Cultivos Tropicales</i>, <i>36</i>(1), 122-128.</span></span>).</p>
      <p><i>Isoxaflutole</i> GD 75 es un compuesto con actividad herbicida, sistémico, usado en 
        preemergencia o preplantación sin humedad en el suelo para el control de
        numerosas especies de malezas mono y dicotiledóneas. Su actividad 
        residual fluctúa entre 60 y 90 días después de la aplicación, aunque en 
        Cuba se reportan periodos más prolongados en dependencia del contenido 
        de arcilla del suelo y cuando se mezcla con otros herbicidas. Es 
        comercializado por varias firmas productoras de agroquímicos, bajo el 
        nombre de Merlin GD 75, Comitol GD 75, Palmero GD 75 y Profit GD 75, 
        formulado como gránulo dispersable en agua (GD o WDG en inglés) al 75% 
        de ingrediente activo (<span class="tooltip"><a href="#B6">Gallego et al., 2020</a><span class="tooltip-content">Gallego, R., Zuaznábar, R., Martínez, R., &amp; Rodríguez, L. (2020). <i>Manual para el manejo de arvenses asociadas al cultivo de la caña de azúcar en Cuba.</i></span></span>).</p>
      <p>En
        Cuba toda persona jurídica individual o colectiva, nacional o 
        extranjera, que se proponga introducir un nuevo formulado plaguicida, 
        queda obligada a solicitar su inscripción en el Registro Central de 
        Plaguicidas, conforme al procedimiento establecido. El procedimiento 
        consta de cuatro etapas, la segunda de ellas, evaluación del formulado, 
        contempla la comprobación de la eficacia mediante ensayos de campo 
        realizados por las instituciones autorizadas para ejecutarlos (<span class="tooltip"><a href="#B10">Palacio, 2020</a><span class="tooltip-content">Palacio, D. E. (2020). <i>El registro de plaguicidas en Cuba</i>. <a href="https://fdocuments.ec/document/el-registro-de-plaguicidas-en-cuba-queda-obligada-a-solicitar-su-inscripcion.html" target="xrefwindow">https://fdocuments.ec/document/el-registro-de-plaguicidas-en-cuba-queda-obligada-a-solicitar-su-inscripcion.html</a> </span></span>).</p>
      <p>Recientemente UPL comenzó a comercializar 
        este ingrediente activo con el nombre comercial de Guateque, en la 
        formulación gránulo dispersable en agua al 75% de ingrediente activo. 
        Teniendo en cuenta su venta en Cuba solicitó su inscripción en el 
        Registro Central de Plaguicidas, conforme a las disposiciones legales 
        vigentes (<span class="tooltip"><a href="#B10">Palacio, 2020</a><span class="tooltip-content">Palacio, D. E. (2020). <i>El registro de plaguicidas en Cuba</i>. <a href="https://fdocuments.ec/document/el-registro-de-plaguicidas-en-cuba-queda-obligada-a-solicitar-su-inscripcion.html" target="xrefwindow">https://fdocuments.ec/document/el-registro-de-plaguicidas-en-cuba-queda-obligada-a-solicitar-su-inscripcion.html</a> </span></span>).</p>
      <p> El objetivo del trabajo consistió en evaluar la efectividad de Guateque (<i>Isoxaflutole</i>)
        GD 75, de UPL Limited de la India, en el control pre emergente de 
        malezas y la fitotoxicidad causada al cultivo de la caña de azúcar.</p>
    </article>
    <article class="section"><a id="id0x3829600"><!-- named anchor --></a>
      <h3>MATERIALES Y MÉTODOS</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <p>La
        investigación constó de dos experimentos, uno montado en áreas del 
        bloque experimental de la Estación Territorial de Investigaciones de la 
        Caña de Azúcar de la red geográfica experimental del Instituto de 
        Investigaciones de la Caña de Azúcar (INICA) y el otro en un campo de 
        producción de la Unidad Básica de Producción Cooperativa (UBPC) Pablo 
        Noriega, ambos en la localidad de Quivicán, provincia de Mayabeque en el
        occidente de Cuba.</p>
      <p>Los ensayos se realizaron en un suelo 
        clasificado como Ferralítico rojo típico según la Segunda Clasificación 
        Genética de los Suelos de Cuba de <span class="tooltip"><a href="#B9">Hernández <i>et al.</i> (1999)</a><span class="tooltip-content">Hernández, J. A., Pérez, J. J. M., Mesa, N. Á., Bosch, I. D., Rivero, L., &amp; Camacho, E. (1999). <i>Nueva versión de la clasificación genética de los suelos de Cuba.: Vol. I</i> (Barcaz L L). AGRINFOR.</span></span>, correlacionado con los Ferralsols, de acuerdo con la Base referencial mundial del recurso suelo (<span class="tooltip"><a href="#B5">FAO, 2007</a><span class="tooltip-content">FAO. (2007). <i>World Reference Base for Soil Resources 2006</i> (p. 128) [World Soil Resources Reports, no. 103, first update]. FAO.</span></span>).</p>
      <p>Los
        experimentos se establecieron en el mes de julio con el cultivar 
        C86-156, en ciclo de caña planta (plantilla), en surcos separados a 1,6 
        m. Este cultivar es recomendado para suelos Ferralítico rojo, de vasta 
        difusión en el país, apropiada para siembras de primavera de ciclo largo
        y frío, de buena brotación, con una población de 13 tallos por metro 
        lineal, de alto rendimiento agrícola y alto contenido azucarero y apta 
        para la cosecha mecanizada (<span class="tooltip"><a href="#B8">González, 2019</a><span class="tooltip-content">González, R. (2019). <i>Variedades de caña de azúcar cultivadas en Cuba. Cronología, legislación, metodologías y conceptos relacionados.</i> [Primera edición]. Instituto Cubano de Investigaciones de Derivados de La Caña de Azúcar (ICIDCA).</span></span>).</p>
      <p>En
        el ensayo situado en el bloque experimental las variantes se 
        dispusieron en un diseño de Bloques al Azar, con cinco replicas, en 
        parcelas de 48 m<sup>2</sup>, conformadas por 4 surcos de 7,5 m de 
        longitud; mientras que en el localizado en la UBPC se ubicaron en 
        franjas, con tres replicas. En cada franja se establecieron cinco 
        estaciones de muestreo de 48 m<sup>2</sup> cada una para la ejecución de las evaluaciones.</p>
      <p>Se
        estudiaron cinco tratamientos: tres dosis de producto comercial (pc) 
        del formulado Guateque GD 75 de UPL Limited de la India, un tratamiento 
        estándar y un testigo absoluto (<span class="tooltip"><a href="#t1">Tabla 1</a></span>); los que se aplicaron inmediatamente después de la plantación, con baja humedad (7-13% bss) según <span class="tooltip"><a href="#B7">García et al. (2009)</a><span class="tooltip-content">García,
        V. M., Fereres, E., Mateos, L., Orgar, F., &amp; Steduto, P. (2009). 
        Deficit irrigation optimization of cotton with AquaCrop. <i>Agronomy Journal</i>, <i>101</i>(3), 477-487.</span></span>,
        sin presencia de malezas, con asperjadora de espalda Matabi de 16 L de 
        capacidad, boquillas Floot jeed y solución final calibrada de 300 L·ha<sup>-1</sup>. En el testigo absoluto se realizaron limpias manuales después de cada evaluación de efectividad.</p>
      <div class="table" id="t1"><span class="labelfig">TABLA 1.&nbsp; </span><span class="textfig">Tratamientos herbicidas evaluados</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="center">No</th>
                  <th align="center">Tratamiento herbicida</th>
                  <th align="center">Dosis pc (kg ha<sup>-1</sup>)</th>
                </tr>
              </thead>
              <tbody>
                <tr>
                  <td align="center">1</td>
                  <td align="center">Testigo absoluto</td>
                  <td align="center">------</td>
                </tr>
                <tr>
                  <td align="center">2</td>
                  <td align="center"><i>Isoxaflutole</i> GD 75 (estándar)</td>
                  <td align="center">0,200</td>
                </tr>
                <tr>
                  <td align="center">3</td>
                  <td align="center">Guateque GD 75</td>
                  <td align="center">0,150</td>
                </tr>
                <tr>
                  <td align="center">4</td>
                  <td align="center">Guateque GD 75</td>
                  <td align="center">0,175</td>
                </tr>
                <tr>
                  <td align="center">5</td>
                  <td align="center">Guateque GD 75</td>
                  <td align="center">0,200</td>
                </tr>
              </tbody>
            </table>
          </div>
        </div>
      </div>
      <div class="clear"></div>
      <p>Se realizaron las siguientes evaluaciones:</p>
      <div class="list"><a id="id0x9526b00"><!-- named anchor --></a>
        <ul style="list-style-type: none">
          <li>
            <p>1.
              Identificación de las especies de maleza: Se realizó a los 30 días 
              después de la aplicación de los tratamientos (dda), con el auxilio de 
              manuales en forma impresa y en formato digital, recorriendo cada una de 
              las parcelas en toda su extensión.</p>
          </li>
          <li>
            <p>2. Efectividad del 
              producto herbicida: Se realizó a los 30, 60, 90 y 120 dda de los 
              tratamientos, a través del porcentaje de control por especie de maleza, 
              calculado a partir de los porcentajes de cobertura por especie, por el 
              método cuantitativo con el empleo de un marco cuadrado de 1 m<sup>2</sup> de superficie, según <span class="tooltip"><a href="#B4">Domínguez (2008)</a><span class="tooltip-content">Domínguez, J. A. (2008). <i>Metodologías para la evaluación de herbicidas en campo</i>. Universidad Autónoma de Chapingo, Departamento de Parasitología Agrícola. <a href="https://www.google.com/search?client=firefox-b-d&amp;q=Metodolog%C3%ADas+para+la+evaluaci%C3%B3n+de+herbicidas+en+campo" target="xrefwindow">https://www.google.com/search?client=firefox-b-d&amp;q=Metodolog%C3%ADas+para+la+evaluaci%C3%B3n+de+herbicidas+en+campo</a> </span></span>, mediante la siguiente <span class="tooltip"><a href="#e1">ecuación</a><span class="tooltip-content">
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        <span class="labelfig"> &nbsp;</span></div>
      <div style="clear:both"></div>
      <p>El porcentaje de control se clasificó según la escala de <span class="tooltip"><a href="#B1">ALAM (1974)</a><span class="tooltip-content">ALAM. (1974). Resumen del panel sobre métodos de evaluaci6n de control de malezas. <i>Congreso de la Asociación Latinoamericana de Malezas</i>, 1-48.</span></span>, expuesta en la <span class="tooltip"><a href="#t2">Tabla 2</a></span>.
        Para la aceptación de un tratamiento como efectivo se consideró un 
        control igual o superior a 71%, es decir, de Bueno a Excelente.</p>
      <div class="table" id="t2"><span class="labelfig">TABLA 2.&nbsp; </span><span class="textfig">Escala para la evaluación del porcentaje de control de malezas</span></div>
      <div class="contenedor">
        <div class="outer-centrado">
          <div style="max-width: 1160px;" class="inner-centrado">
            <table>
              <colgroup>
              <col>
              <col>
              </colgroup>
              <thead>
                <tr>
                  <th align="center">Porcentaje de control</th>
                  <th align="center">Grado de control</th>
                </tr>
              </thead>
              <tbody>
                <tr>
                  <td align="center">0 - 40</td>
                  <td align="center">Ninguno o pobre</td>
                </tr>
                <tr>
                  <td align="center">41 - 60</td>
                  <td align="center">Regular</td>
                </tr>
                <tr>
                  <td align="center">61 - 70</td>
                  <td align="center">Suficiente</td>
                </tr>
                <tr>
                  <td align="center">71 - 80</td>
                  <td align="center">Bueno</td>
                </tr>
                <tr>
                  <td align="center">81 - 90</td>
                  <td align="center">Muy bueno</td>
                </tr>
                <tr>
                  <td align="center">91 - 100</td>
                  <td align="center">Excelente</td>
                </tr>
              </tbody>
            </table>
          </div>
        </div>
      </div>
      <div class="clear"></div>
      <div class="list"><a id="id0x866a680"><!-- named anchor --></a>
        <ul style="list-style-type: none">
          <li>
            <p>3.
              Determinación de la fitotoxicidad: La fitotoxicidad causada por el 
              producto al cultivo se evaluó a los 30, 45 y 60 dda por la escala de la 
              European Weed Research Society (EWRS) de 9 grados (Johannes y Schuh, 
              1971, citados por <span class="tooltip"><a href="#B3">Ciba-Geigy (1981)</a><span class="tooltip-content">Ciba-Geigy, S. (1981). Manual para ensayos de campo en protección vegetal. <i>Suiza, Wener Puntener. P</i>, <i>597</i>.</span></span>, expuesta en la <span class="tooltip"><a href="#t3">Tabla 3</a></span>.</p>
          </li>
        </ul>
      </div>
      <div class="table" id="t3"><span class="labelfig">TABLA 3.&nbsp; </span><span class="textfig">Escala de la ERWS para la evaluación de la fitotoxicidad al cultivo</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="center">Grado</th>
                  <th align="center">Categoría</th>
                  <th align="center">Síntomas de fitotoxicidad en el cultivo</th>
                </tr>
              </thead>
              <tbody>
                <tr>
                  <td align="justify">1</td>
                  <td align="justify">Ningún efecto</td>
                  <td align="justify">Ausencia absoluta de síntomas</td>
                </tr>
                <tr>
                  <td align="justify">2</td>
                  <td align="justify">Muy débil</td>
                  <td align="justify">Síntomas muy ligeros</td>
                </tr>
                <tr>
                  <td align="justify">3</td>
                  <td align="justify">Débil</td>
                  <td align="justify">Síntomas ligeros, pero claramente visibles.</td>
                </tr>
                <tr>
                  <td align="justify">4</td>
                  <td align="justify">Regular</td>
                  <td align="justify">Síntomas más marcados (por ej. Clorosis), pero que no se traducen en reducción de rendimiento.</td>
                </tr>
                <tr>
                  <td align="justify">5</td>
                  <td align="justify">Mediano</td>
                  <td align="justify">Mayor clorosis, atrofia y pérdida de rendimiento</td>
                </tr>
                <tr>
                  <td align="justify">6</td>
                  <td align="justify">Daño medianamente fuerte</td>
                  <td align="justify">Mayor clorosis, atrofia y pérdida de rendimiento</td>
                </tr>
                <tr>
                  <td align="justify">7</td>
                  <td align="justify">Daño fuerte</td>
                  <td align="justify">Mayor clorosis, atrofia y pérdida de rendimiento</td>
                </tr>
                <tr>
                  <td align="justify">8</td>
                  <td align="justify">Daño muy fuerte</td>
                  <td align="justify">Mayor clorosis, atrofia y pérdida de rendimiento</td>
                </tr>
                <tr>
                  <td align="justify">9</td>
                  <td align="justify">Muerte total</td>
                  <td align="justify">Muerte total</td>
                </tr>
              </tbody>
            </table>
          </div>
        </div>
      </div>
      <div class="clear"></div>
      <p>Durante
        el desarrollo de los experimentos las precipitaciones ocurridas fueron 
        abundantes, típicas para ese período del año, con un total de 660 mm (<span class="tooltip"><a href="#t4">Tabla 4</a></span>).</p>
      <p>Los
        datos obtenidos se procesaron estadísticamente mediante análisis de 
        varianza clasificación doble, previa transformación de los datos según <span class="tooltip"><a href="#B4">Domínguez (2008)</a><span class="tooltip-content">Domínguez, J. A. (2008). <i>Metodologías para la evaluación de herbicidas en campo</i>. Universidad Autónoma de Chapingo, Departamento de Parasitología Agrícola. <a href="https://www.google.com/search?client=firefox-b-d&amp;q=Metodolog%C3%ADas+para+la+evaluaci%C3%B3n+de+herbicidas+en+campo" target="xrefwindow">https://www.google.com/search?client=firefox-b-d&amp;q=Metodolog%C3%ADas+para+la+evaluaci%C3%B3n+de+herbicidas+en+campo</a> </span></span>, y prueba de Tukey para la separación de las medias, ambas al 0,05 de probabilidad de error.</p>
      <div class="table" id="t4"><span class="labelfig">TABLA 4.&nbsp; </span><span class="textfig">Precipitaciones por meses</span></div>
      <div class="contenedor">
        <div class="outer-centrado">
          <div style="max-width: 1160px;" class="inner-centrado">
            <table>
              <colgroup>
              <col>
              <col>
              </colgroup>
              <thead>
                <tr>
                  <th align="justify">Meses</th>
                  <th align="justify">Lluvia (mm)</th>
                </tr>
              </thead>
              <tbody>
                <tr>
                  <td align="justify">Julio</td>
                  <td align="justify">179,5</td>
                </tr>
                <tr>
                  <td align="justify">Agosto</td>
                  <td align="justify">144,0</td>
                </tr>
                <tr>
                  <td align="justify">Septiembre</td>
                  <td align="justify">188,5</td>
                </tr>
                <tr>
                  <td align="justify">Octubre</td>
                  <td align="justify">101,5</td>
                </tr>
                <tr>
                  <td align="justify">Noviembre</td>
                  <td align="justify">47,0</td>
                </tr>
              </tbody>
            </table>
          </div>
        </div>
      </div>
      <div class="clear"></div>
    </article>
    <article class="section"><a id="id0xb0dc280"><!-- named anchor --></a>
      <h3>RESULTADOS Y DISCUSIÓN</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <p>En las áreas donde se realizaron los experimentos se identificaron por igual cuatro especies de malezas: Don Carlos (<i>Sorghum halepense</i> (L.) Pers.), yerba fina (<i>Cynodon dactylon</i> (L.)), metebravo (<i>Echinochloa colona</i> (L.) Link) y verdolaga (<i>Portulaca oleracea</i> L.), de ellas tres de la familia <i>Poaceae</i>, señaladas como de las que más afectan al cultivo de la caña de azúcar y de las más frecuentes en Cuba (<span class="tooltip"><a href="#B2">Blanco et al., 2016</a><span class="tooltip-content">Blanco,
        V. F., Coca, C. O., Labrada, A. H., Cruz, C. E., &amp; Machín, R. R. 
        (2016). Diversidad y evolución de especies arvenses en caña de azúcar 
        (Saccharum officinarum) en la provincia Sancti Spíritus. <i>Centro Agrícola</i>, <i>43</i>(2), 23-27.</span></span>).</p>
      <p>La
        cobertura alcanzada por todas las especies de malezas en ambos ensayos 
        mostró igual comportamiento, caracterizado por un incremento a partir de
        los 30 dda (<span class="tooltip"><a href="#f1">Figura 1</a></span>) con un máximo en todos los tratamientos a los 120 dda. En general la cobertura de <i>S. halepense</i> y <i>C. dactylon</i> fue superior a las de <i>E. colona</i> y <i>P. oleracea</i>.
        En el testigo absoluto los valores de cobertura fueron 
        significativamente superiores, desde 1,5 a 2 veces, a los de los 
        tratamientos con <i>Isoxaflutole</i> GD 75; en los que, posterior a los 90 dda, se apreció un aumento de la cobertura de las arvenses.</p>
      <p>Este comportamiento es explicado por <span class="tooltip"><a href="#B12">Viera &amp; Escobar (2015)</a><span class="tooltip-content">Viera,
        B. F. J., &amp; Escobar, C. L. (2015). Evaluación de mezclas de 
        herbicidas en el control de arvenses en el cultivo de la caña de azúcar 
        en tres tipos de suelos de Majibacoa, Las Tunas. <i>Cultivos Tropicales</i>, <i>36</i>(1), 122-128.</span></span> como consecuencia de la no ejecución de medidas para su control, a la 
        alta humedad del suelo producto de las abundantes lluvias ocurridas y a 
        la no existencia de una cobertura de residuos de cosecha, al estar 
        montados los estudios en ciclo de caña planta.</p>
      <div id="f1" class="fig">
        <div class="zoom">
          <svg xml:space="preserve" enable-background="new 0 0 500 375.1" viewBox="0 0 500 375.1" height="375.1px" width="500px" y="0px" x="0px"  version="1.1">
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vsi5H0Ox%20pTAA985z7+dJXoiUl6TlizHaUoznOriI+eerFfpMjh5eq9dh60H5+lTYGoOxh3vitfv3DNLWsBiH%20Ye4nv/vw9l4YE8051Ps4/BXO/pS1l6th19nq5ovw+a6svfIPUHHcW//6xfd03fCTgLxLoPve/74G%20sV9L7YuYrAm/r/o3yH5eRp8DCUAnSimzo9sLf/4TVH/KVHv/EdBloIBzLydKAChBAmhNtfcjq6F0%20Yid/C7hADUhOtccBtEVP5yFMXUdcFahAFxhPGfgyIUhBBPUn4DUALNiCLjgAbnZ1vUBbBYB+c3aC%209UBS1lJ8L9iDMQh4uwBW1HcOqoeDDZWCfrKCPeiCPxhBH/IAebdkRkgPOkgwPLiELdiEwgAaH5hm%20UzgPVagcSoiFMHhnjOdbBwAByLZ8hfSFYlQvhTKGWKiF2qZ8bNhIbggPYZgccriEdPg0dniDeZhG%20SNgnfeiDZiiDjxOIFDiIJFSIfHKIL/iHW8OIgOaI57CHyCGJTJiIQNg6qHCHlISJjwiHhMKJWRhH%20kFgMyaSJ/+hQgswgAVLjbesGbaTIDq74G6jIgrewS624ihfBOqLICpFzANtkb8cWebcYDrnoG7tY%20hrXgi8C4RdN4JmdIPpbYC+hBYT/SeSOyjObQjL3xjL1YjcHwi6aYMNqXjYvoc8oIjt4gjhRzhWRY%20jumIDOjILpqyjsoHDB9CTBOyco8Fj8xojmVCjqp4j8eQj+Oyj9foPuy4CzviGqDAGFRFkAWpkJFI%20j3OYkPqoDAwpLg6piJ1zbhYZDM4kGgiwcwOJkfFokGSCkNEIk74Qku2ijg+ZNsGXC1OmWblQhLco%20j+vCkX7okQ0JkjRZk0n5EI6TG5ITDMxmHTboeS4JDkIpG/8y+U5LuQs2aS/nwo85FwwKwH3iERhT%20WQpBZwVDV5XdcJWxkZWzII0aaQxy+ZFABJZzNYS5QGzMI1f0xm5s2ZZbCSVwKQt1eZRIOZfUqJh9%20hJcGFIW8sI3FkR7vGJiQNJhFUph5hJm40JX+kph2+Yo56XVzpVN1iBsJCApASYpuCRuaCQuHKZKl%20xJn2GJpP5H7K8CEcp5fxY5nc0JobQ5SIOJOMKQyeaTBTRJvF4DHDaAvjEYW5wZJU6Zs8pJw28pqv%20EJs3mZzFeY7WOQzMaQqSIQyNEWKQ4Y3fSJ3V2Z0HKZyTaJSyyZ22uZDfGZf1GQzhWQoT5U29EEzp%20wZ8tqZ7/RHSfKIKdrqCdXgmaiImPBPoLylJadsib3SWg2ACc9OKenUic88mKDQqbHXqgH8oL0SJ9%20EZl+FDqg7BmTGJqKGrqg9Jmiv4Cgn3mXowkLEAp8gnii1GChpmGgrSCjyCmfLkqXIboL7yKBc7WT%20E6qjOxp+7blarEWGLEgAVFqlVvqjRboKAgikMPR6uWGCTNqkUFpkT8ourCUAUjoAVrqmBIClMNoL%20W5qlqpCLHuN/RBimYmqmyFWm43KmacqmVzpQb8oLcTqoXCmnqVd7NHiWQYanzzCC3PGMgFqlbrqh%20i6mnZIpMiIoKdFp7QugdjvqoTqqiY4pVfzqpbSqoljoM/4W6qsa5qWHiqeQBmeywmpgIqfyyolOK%20qpU6pBxaquSmqYZKTbDqH7XHhfJgq46Iq9ohqbyqqr56qX26p8Lqqt45rMhgMg6QhmuYo6GqoOJy%20pmbirJPaq/HJoMBadTFarKXQqTXKcyUKgt86m+nqd2NCroBqrtv5opjaaddqrdUarY35rh8Wr/83%20r+CaLeLKp+EapVKKqqmqpeyaUaO6rtjamRMbNo5ZepeIsPw6rZl6r7qqps8qsRdbmyBrqvWIsuf6%20sQ0bsqm0sdrjrR77q/0arCJbrzN1quUKrS1LpDorU1KKsScLnwpLrYmBm6bQnKlUs0L6sv5KqjcL%20VDybr/8+u69AO7U0NbQsi7U2m7I4G7MEmxDKOojMmh34yqb6mqDoqrU7u7JGy7Yue7QwC0slmADO%20FiFM54VOO7fYsrBSC7ZU+7AlO6cZKwq7SLQAa7Fuy3tJO7avMGWegVKMymB9+7VQG7ZSkrZrurYz%202raCu7Vw26I/i7l0G7WPS5K6MJFsAgoT8pfyermsWrFTwrmBarKLq5RBi6ajq5VFS7qnq7m3VHve%20VlFTQ5mNKLuvurvjOrIQ67lB6rfX4qe9a5+/67uNa3yp+4m7EyKh0BpMC0vKK62Zq66167yFe4TX%20a73Zy7Vx+7nSCwCAu71O+ADbJBh427odO766m73Nu7v/Vau2Vyu3WRu6b9uR7xu9BVy+9iq2qpsL%20tPZMNMu/hEq7m4u+PYu7Buy4cKqriiuwy+u/lFR7E5JzsOsLf5GaM0HB/7rB2nu+AEy4GWy4zBuw%20DHzARZnA9CrCm5SBv2dA0tkL5zkZF8nCHVzDgXvDQivDVqvBSvzCFRzDCAy8BGy6f4u0Dsy9usAA%20BWhscVIMoFG56WnER8zDOdu+TCzAThy85hvFaDzF2AvCLfzE8AG54KBvRkrG/evC//vGWPi8Azy9%20WOzGLuy+VAy/C8zGDWy3duwN/JbHekzIdMywiozDSwjIa3zFdXuoUpzDh6zAVizIm5wMLrMA0geF%20xGAc/71Qtnl4tjvYyZecvpxqwZzsx8P5yTvMxyPcyKxwo8Z2wrggHcGEekUcyR88yUlcyUtMhphM%20w2ZcxoVcvYZ5uKHgyv1DgMrXhbcwHkzXgejJCqzshtYshhjcxM6sy4wbzXDMvnJsw8oMxcPLy6pQ%20bAZkp7ZQH91GZR5nzJ88vzBsyz3YzOr7zJL8zoYcx6VLvu9cxw+cPF+scA6wM5U4CgPiCmlZBWvJ%20zwnszxcMywEty4lEy8Tq0S4IsRF7zshcCgI9y0hMv8Kwk+EbimBTwpWp0R7a0v+szn8M0qZQf7to%200tDL0aKw0iGN04zc0LggnQXoj6KjwuH8hePMh+Wsxv8ovdDurMkqu9M83a4iDQpE3dNdfQzDYofa%20A8y20CJh981uY9Ndi9XCS5hT3bmBLL+DXMs6/dFbTbFGPdR5PQpRDXNoR9bZo822sCOI9SMAOp1s%20jdBWncxuPbjM3NeIG9ZtLcpZHcuSXc1h/dVcvdekHNiCHRhKagtKkk4SOsaLzc4pndNPHMByncmW%20/dbipKtAPddCHQqcrdcEHc9IDa+hfdq2sCUG0CV2V9OpDdt0PcqZGde3W9WPvch23dqRndkwtdnU%20zQF/rZqBXQ1uUmt2FaDHDaKevdwkXdLX7dO0ndt+bd0zPNDo7NKaEt6q3dhnfNd4bc7uvdoF/dyW%20/IL/tY3ct+3V503ZywmLySrf0zzeRGK7lGrbdT3SAG3eA67g6j3ZCi4V8pxnnxUYtHinpcKjpZHd%20oJvQSsHgVBrUDy7g7c3SEd6C/+3csQ3ZmI3fLP7eWex79CyVfEsqIE4aIh6/VmHiJ53f9E0KFa7Z%205b2rE97iSk7jRb3bn53hqEBsOUfYlvspPT4aP57IVbwUQo7iys0BR17dSU6yS27fEu7kYH3hBS7l%20p4CA9TzBl5LlmrHloQzKXs7cDQ7gKS7mZy7dWr3iT47mLv7nRX7UWnwLmYVseAvcmfbh1Pwedq7Q%20XV7ien7iDh7mY47d6W3o/L3MM07VRP7p8Bzlve0+/6Eo55ZC55kx6bO7vjXx5ZmOukbu6TEuuoGu%205p3N5Gau67pt44juhA8tIbCl6pXC6pjh6iHczkQh63yu6bae3Jd9376+3mW+6SLuMXAOYMZOKch+%20Gco+x16b52Xe66Je4/rN14K+5rz+4qN+6/2d5uc+6Olu6oke3Dm+Jlb+6Dwe6e4R7leNyEzh7DAu%207bLt5+u+64Te5NVu4e0e7QEu1hnoYtpTgzuO5f7eHgCfziR+FAT/7gbfxure8Ej+8BDvsLn+2gUf%208Rh+6rcgixweAbVYfRgP6wXqwTlYjQed4Ln7Dx+P7oc+8vPO7gtv7kOv8IAe6ioP8tSb8s2dqG5+%20K/+QbvMnkrg5X5w7v5lUT4jlju3sTfJkbvIJ/+tJT+1LD/SknsZnH6tR3yum8u2WYfVUqPPSfNM9%20vw8/T+9Bj9snP1lqv/ZEX/b+3ffTPvhjr7FtTyxvn/HsIfdgSPfrrPV3rw95H/h7r+Jgz+nX7vWb%20f/gOX/SbPiKgnT2sodZX7ilwXxmO/4aumvV2z+wAUflIf/kIn/k/zflif/Rkb9DTnfmin/glnIYz%20HwH2/FxTP/lwXeb2YDaun52Mfw2yv/ukjgq4D/rVL/jyDvizn/a9r/uI7/KuMHipsFzJi/rP3x2r%20Hw/MX/fOv/WlyOtG//RoD+8cPArXz/tOL/96z/3/+Q8CBMGRpXkCqboKrfsOsTyLtT2eub6XQdB1%20fLwhkQN5FDkLRLLpfA4D0Cm1ar1is9ott9tcgQHeMblsPqPTujDr5Z7BB+p5jq0axmdae4ruv/IB%20uL3lydzcOAUOvgwd2iTyLboUxjg+fkVKClAOWIpA2mluUnridPkACY09ODQd/HFJwc7S1trePgXi%207vL2+kIpanL+dunyDGcZE9cGS3J2eoKyiTZGY4YKk5ZKh4lybl9PZxeCn/4EyXoVOG0sJ6W7x8vP%209yrT3+PnTzUvIutzg8FDaQ+ff2n4DXpWrghCN9UsAWzjTJu1JA1hUHQUUYW3jIfGoEJHpl0Tkgbh%20/xlMqXLlEHssX8LkdXHSwJhrCh6ricWlTUCZJnpEFK6bpocah4LpSG4hkZktvlVk+LNf0EvmUqHc%20sqFVEQcm5zT4aiVrz7JmZeI8q3ZtsakJq9Z46XRUIYJ22FaZqzBqU7eElkJEKpEq4MAW/WIs/FEw%20x3F5mGoJqcqLAQNJDCChk2CD2Cpk8YIO3fau6NKmd+iF+4ll6rrJ0p5uiZimalNSsQF9zFc2bsK6%20d/No/fvo4d5vFQu9KnJMhA2Wh4SN4McA58ixr2Nn3Cc7d7bC40D+9x2OXTbdbxr/i9zqbXG5wQNH%20Pftpbdt90ycevri4e9/wDcdyzmRdMMBZAQg4wP9ACQo4gEABnCk4RwQSVJfFZ+dhKBpPGXJo0Hg0%20xJfPhzKUF0aHJIxoSIh1zEeXfsm1R9R7cJRiH2/9Hfcie/fhqN5/xAWIVRnNcVakkUVKN4cCllWI%20xYUnQmnThlFSuUyK0ACY0pUlBnTilVgCyaOM/tG4IgotQmWmCVeGJx9+tOkYlxeSPYlFWEce+dwc%20BiTAQZNX1FmloPpMOaihtrCp5jxbvkZah1+2iV6P+f24X4xJOVappWJiOiOIWd44Zo6a7hiZgIFe%20QSSeGyQ5BwRJ/jnWobNqCRutt8KSKKjioamTT45yCKmiKPa6npz8iepjmcNyoGuYoXZK5qfPWnj/%20KhoMRPBAkQZEEOEcDLxCQqye4Vruoraam64Zzm7qYbF5cLkClMLu6uakcJJ67KWDjbpsvZImS6m/%207Qb3br6rKTfgWg8sUMK4VKCqrsRzFDqxxVawC2Otb9Ln2k7onkcvtfYGjO/AGkPLr7LTjgxwtP2y%20jHLBHLt4sI3VComXA5mJ2xkRFPgQtA8VXFz0LBUbnfS+jXmq4r/4MPoxsBmKTDDJL6/sdMss0pzm%2002d2XdtGKSgVJ8JBLsdWAd766fMUESsdN8Ygy123yyoLHHOpvIbt8a/3mqyHWlXLfDXegWtt9d1M%20S5u44lwDXvPJexvOOMyOUw6otWwhIMEJD79t/7foXCA9utwZZw61weQ1Grnkgp9FeOpgR+7147SX%203LHZZ3N6uO42jy1IppPruwWdeK1aJBOAmt783FM7LzrqxbvbN7yt5/4767GvTjzvKVuedSXMTk/9%20zLWLrZ3wTY//NcSbmwY6FHBHX3/p9V9c/s2Edk8i9liLTw6D6x/mzFc5sg1PbwZcHALZB6at4Q6A%20iGsfBNdEwAcWTnM5i5/b5oe/D/buDiC0m/7kcsF4hS+Aa5HdAiGXPdtl0IUS1J4CWxhB372ugN87%203wvTlzD6xUR+TwDiCElItyJarISsOeH/cJjDGKzwghicnQWtBzz1lc1m+2Pg+hpHwdtVEX3G2v+h%20k+BXGiE6gYhIjNv91ogrJa4kan/L3hMFyD0rXhFZM6xjpGSIQxjG8IYpnOAUbRjGHo5xi2MxI67U%206EajtfGRs4KjSuT4PNf5wywsJCMXs+g9RQqygV4spCFLQMkQivJyXwzk+zZYLkdKMolHjOUbL9jH%20e1gyLy2qYxTx+MngebKGoDzkHgFJRVPaknzJdN/bGHkrWNJSXZGMZpVOWT0xXk9qmPRVWTY5TGT6%20UoffJFY4V8lKcGIzj0tLZQBv2cq0vZKa9muRPA1lTfBt52hM1CYdM3lJE9HCm8BMoDgH6sAaGXSU%207kQnIncHEmfSCpr1vNVcJiqoe/KwS/ospx3/57hHXjZRhBtNpzpR2UVVknKczVomM8lJUmEmFKUL%20nR9EZyVRix6qojiNEkYPKIaA7tOjTvSnLqFHB4FikaDmLKVLG6rFmLZTmRyd6RBreqib7vSi9Myq%20l1gKRmLKC6gcRSE7VRjSfOZKilTtqR8HSUNxqpStoTxpVFtaVVc2kqt106leqebVczJUo2kd61np%20alZ+CvYPSNXjH324TsMSEqFJPahUX1rQOVnVUFjta1dpxlm/TpVZKzUqxYL6z48SlQrT9MJiHxvM%20yzLWrXxc61+P2dRiOtZ4mR3UZj8L2sj5NmS1ZeptwzpSp25PqLIFKWKNO1jLwta1Sk0pVPMG/9fq%20RrayyIUpZvH6zOAWja/gvY5c58oM0xZ1m347rXMVq1bt4jaR2H3rUolb3sA2Vr7dhWdexzsx8frX%20NPfFr0ifu13/NXe5qd3HLNHQWpO+tr5xHa59KTzh0No1jbsVVG8DTN6teljAFs5Fg8+QS9XucsHA%20KPG63mvXAY8Wuim9sIxpi+EKNtO7EQ1xuk7M4yXe+KsELishyQpZ+lJ3sg40coQ7yl7Z7uXFI1ay%20TG1cY/jm16H7Vdh3f1xLwno5JjCO8YGhWNgmW7mf3ExvmZ3M5vjqN7ZERnKa4fxUKtcVx8WFcm5N%20pWObhpmi6A30xq6cYR+vOMiAJTNq14xiMP8rd851TLKcjzxbKSt60TAecxOOl64OE9o7gw41/zJN%20XEZnOQ5Mnm6dh+poBkP6yZKOsp5Rzec4S5eyWL61liuNZtF2esNVAjWp7yjjYsdxyni2rpkTPOs+%20Z9TV631zqpMra0vTWsi2fjauIczqVvO6pPjENrTL+OerIlursU636kzNyU5Od9W6rvVcmBtpck/7%200TKmdK4Vumtu747GbQY3wMWNM/52md3zGrXC4zFmRJPY3QJvdL5hfewzT5ff3p63tvU38Wpz19ff%20znCwz63Zhi983Sh3uLJFvmSMc1zTKX51oi/ubHx3e9y/xrSheT7wf+Pc4OZG+I5XHiyGG93/Fw9H%20+nwvTe+ZV7zmbZb3KDWu85E/XeIfD/cvl51dkr9D2FQidtILPfWyy2PpKrf4z31O8Wzeu8lUR6nV%20o831kPe7ykDfedZ7rm0Nm5y3aBeuxE3oWUmq3eZxx3rHod7rvB928Q6su0/53nitN92Y756r5RcN%20eKKbRQIH2MABPGe8wXeH08QAMBITf/abd96227a00y+v+Gs3mfLwjrnsPZ75cu/e32Avgqc5l6fT%20oz47qv8F64voejtbm9p3j+7GeV/htUsd+l13ufD73na3g5z6V7f+5t/J5bI4oABcodAGTO+k5Cu/%205WbfYyyfH/5mS777tldzzu1e8OjrW5vp/15b/R/eVZ/egd/0Sdjv9d/QnV9PNIACmACFrIOFwB92%20LJ/SgZgb2Z8CulkAap/4+R/tad7WFSCC5R/dEVzQbR/kMduMMeDjHWCe/V3JgZ5NtAoJFEgHDdEF%20fljhARlwIZ78zeALzh0NyhzN1F4S3p70naAIVh7jMeH3eV8ILqDX0RmwhV3gncUGVOD7+eBpZGA9%20bOAadeATfiDbWeEAcl7sXV8TguD9XSH3IeD+raFk0SES9h4RHtwDssUGLA8YhmFpjCFaHN4jnSEL%20wk4K6uEb8p8Mjt8oHeELsiFYeeAKuqEj3uHeSaHsfZ4fqoVXSKAFDiIh8mGpCSEinmIUvv8c7HWi%20JkobJI6g3MFc1WHiK5bfkCnidWHhEu4hEP7QaTRAAyBfKYZGIe5C841QItKiK5KfCZIg8BHgLuIf%207mXcLT5jDN5ZHr4gNuqf59kgKJpFAqzNFACN0AxN8A2CMabdKk4jNThYGY7BarGWPNYjMHLj11Wh%20HHrjN/6i303hGlaiLmYiNBakQeIiQmbjlpGdOxhAwxSjJUoaO7IcPhahCxyEPY6GeZzXIZYBMyak%20NrbgReqjHfIjJ05ePzZiLu4ZGuKhC5ZkQJ7k8BFB8YFGBASidbxjUVCklbhjG0pCRnokGdDjRmZP%20PFokSfoiLF4iSi5kPmZhAqLhQLYkNVL/5ewdpEgaYCTWIThu4Q2WxRLMiTo6RE+u3k9KpKUJZSp+%20JIu12FDOI1qmZUFqJRSS5UoqpD8y5VSqZDc6ZVfKZFNKpVVS1Sc2pC8oAM+QQJ8I4lzypFlqYFLO%204mO+JVsSpVu2JVzeI0B64qbJZVWKwlKyJFaGZC9mW2C65F/iZV4C5l4SphYSn9ithALkIAdIADE2%20JkFSJmQm42eSZlAipWXGJWmVlmYa5SYemm96phKWYF3OIUwi2VUuJ2f+IxWi5mvSZBTIZkoowIPg%20CUQyz04CJ28aInWOpjIeJw4FJ0CJlXBupnV2pnLKJ3NKI1Dq5Xm62D4Kpn6mpmr65WDS/yVD4gV1%20rArbkIt4LgJ5kqFksmKCrif9mRhmXqZxko5v/uZ9siZeNp1oZuh/8qdVSud8mid+MuhdxqQnhuNh%20ggZZoKeCuleJIug6Pqh6RihxqkGLTuKJntp0wqdrhmZzmmZ9OmZK+qeOkuiIdqiRJmlU1pphqguL%20aqSLvuiINt1aHmWNcmR7Xmll9uhoXmhrHmmXLimTmuR+lilfFimZXmdWBmkDmqiaouhXiiOHvakA%20SCku8CiEYumWZmaWHpee9qmYRhyVtqksNiiGOmeIcpSiEipUcuiYAqmjRirazOmw1emd3kKe0uie%20IueHBmgvzqiZep6mimp1vp3Q1emkKv/laZrqTHpqQkKqkOrmU1KqiuIFlFIopt6oiPJpoHbqmWJn%20k+JoLYKpSn2phhYqqsZosSZqXxISowpqsn5SrLrpsnpoDcqprbIFrrqnrhZno0KnnYZqf74qrYbr%20uAbr35EquQLrj8oqaJampKoqVyKrvCYStRpqqr7rXYGl4FkrRnrrn7pqu+7mhILrqu7rsTICpw7s%20qPLqr67pp4brvE4mkQJovE5sfTRrmnLoQ3Ghpf5rCwSswJaqjxbscB4svV6rw+ZqjsLpjj5sw7aq%20gu3ruoKos75smEJsxJqryiqpx/YrnYasuI6sH9gsPDJsyeqszMJsyxJrvdprvg4txR7/KrNK61ZW%20rC1yLNXq671u7MX2bB9q61pwa68WrZXurMmOJ5em7dIqrbEOqzMi6teW69w6asderV1OLdfubbXa%20Z7Hiq7L+LdTq1seO3aWe7VHFrGyhLdO6LbuybLdWKIz2rdQO7srOrKThbdQK7pBqLdjabcZ6bd4+%20J8L6rfmNrVqULaAmLrpKrFI27tvSrbpG6RaAZNhWLeaqLe52reV6rgpubc1aWOCOpM/mrLGm6JMi%20buvGLuRmrlq6Lsaaru/+blmyrePC7eI67+6G7vR27qx+bt1aLedO6+zybPf6WdCC7OX+LOlCa7SS%20L9bmru4+brqer4wm7fbW7+vCbv7a/298Um710u+Ybq7oUi+8Wqz4Eq7xPqr5Pi//iq3yVu73IjD6%20juD/cu8CZ60Fz+/xVmn08u4EFy8DgzAHd3ABe+8InzAKMzDfsm904iwLb/BqOnAGDzDQVurhirD8%209i4Fzx4G76/0MrAMn7ALCzDA+i8EF3HCxi0j3nANB3EIv7AHu28Ms6oNt2/88qIWl24LJ2zyfloP%20q7AY8/A0AjHxlvEUEzEZ6+0UN+8ZQ3H2Oq3cji8Xvy/2bqgRg28dp/AY73AbH/HxojEg77EGO2Dq%20nsXq4nEVAx0cMzLomvAfd/EML2wSCzElZ7GjljAf9zEhVzAnY3Imd/IkL7HwBnAhD//wIJMyG6/y%20IhlulCiy7D7yhzqyHcfwGkvyHTPuJhsyK1+lwiKxry7yLBOsFAcyFdty8JpyyoZyAxPz/fayK6uv%20Dk+xHn9yNM9VLRuwD9ebNQMzMp8rLz9xMifnHDuxKI+yLusvAXvz0V6jMh/wNzszOSvwONeqBFfz%20MsPvY2lzOt9yO2sv9FqyMaMyOpPwQEdyLluxPp+qH+fz6RY0DMMzNw9vHFu0gIaxQk+0Q6dlP3sx%20RF8zNh8zQJvzOYOzP4tWE1sjQUc0Lj90PHczQw/zNlP0KYe0kqqyOnt0BGf0S9c0M/vUTpcyTDve%20T+9z/yI0KA+1D8uzOBt0M5M0UNf/qUuPtEx7oE4rsS+/JEpDskjn2DTDslZvdBp3dFZrdFd79U2f%209EeDtDxH9VFzdT0/9VJzdEu/dUOTtV1bNZqi9VyfdV+vNVR/cbaKRgQ8SE7mplpTtV63dSAItVgD%20dmDTdV4r9hVHcUJXdVu79V4/NmTLtWRP9V3PdDpj9SVP9hbTNGVvtmaD8YBmBgLoSWKvNlHb9A+b%20tU/XtWIvdmVzdu4tdGNbqDuzNG8Dd23HdHFLdS6X9nD73jM/sGlrEFirhGGbwAEg9oHitmrbbGdn%20tyfL827PtlEL5G/TdnL/dTFjdmaXN1w3M3gLd/iit1J79me7t4W2tloUSE42h4FC/8x8Q7M9mxR3%20q7d4xyKBy7IdL3d6E3c8h3duN7hqP7h3v7eCR3grd7eEBzSb0nN8pzW/5rBKQMAGgCcHbIb7ycp5%20/7dfZ/NtD7iDH/d6t21OJ7h8ozgAm3eLQ/iEd/iLG/g6J+qM73hFOzcWg7Y0f3hKhAVj6uAGKCZ2%204ziGG7eOA/gQi/aBp7Z2Zzh0+/dzD3eFA/mUt3eV+7j7frmKP7mE5TR5M/V9n8Xo5YAXkuKFl3mR%20r7iWy/k/97adn7mF77maO7iX+3mOZzlzF7WLDzp8pzid93mgQ/mNf/WRG8S4oNE7bDmR1/eh07ga%20i7mAMzZys/dp8/miR7Y3A/pYN//6I/Y4py84jI82W2/jlYf6qv85m5uFpPNgDpwjOlYAOvJ6r/v6%20rwN7sAv7sBN7sRv7sSN7siv7sjN7szv7s0N7tEv7tFN7tVv7tWN7tmv7tnN7t3v7t4N7uIv7uJO7%20tltAdEP6P9h6nPcCIvfgL7h7GhFDvFP6vNv7vfsCvRPfMuh7TfI7vrf7v8O7wOc7uvf7HLj554RL%20eBY8wPPCwUeBw+8CxPMAxeuAxV+8xOMCxucAx5uAx3+8xt8CyPeAyI+8yRM2W2jLKC4mk7P7wxN8%20wKM8LZA8B9S8zc88zec8LNx8zff8zv/Bzw880PsBNNnkWYQ4V5CAV0DAy098zMP/PNHTgc9D/dNL%20/RxQ/dWrgdA3fNd7fdQP/dfT1CunRH6bwH47/cZXvdprfRpkfdjLPNyDfdyLPdvLvdXXvd3T/d7j%20PeqChoNU93X39933/dzzvd4bfuIjvuKfPOEv/uNDvi28fd5L/to3vmdsp0oYABMwQAPENsMffuTX%20AteHfuW3PRqQPuObvuOvPuWP/umjPuyfweQ/+s2PAQJ4YW2Cvuq3Pu+/Puv/PvDrvOyXAe37/iyk%20fuEr//JfvusPP+aT/YkYP/P3/vHzPPEXP/aTwfQ3f+kHv/Mjv/aDhPiPpfDXZOZ3CPd3P/VXv+g/%20P/hfP/nHgvzPv/mHv/0HveW3/7/73z8IcOJIlmUQdB1qtu4Lx/JM13Fg5/qI737d+wlfwaHxdEzy%20lMoic+h8+qLSHbVqu2Jp2u2s64WBw0SybmxGprNrYNv9lqGJqdU8js/d13t+XvwHGNjSZ1ZoOEiY%20qLhIchj2CNnoOElZyRG5lal5idnpeZmJosLyaWpZuYmlKsXa2unKFCsL+zmbdHuUq1vbm+r7G2oL%20fFZXenq6CzUsTLyoLAQd7fxMPSj9g23FHNzt3ai93TxlHI6cbX2dHmjONv5dvZ7XDvcOzj1Jz4V/%20L48nWu5cMn//CMbR98XgG4Ry+MWD9zCfw0QMb0xUp9BPtoACL7Lz+KeiRXsRJf+SLImSIsh5Kwue%20VPkSI0QgHDvGDNnyYM6FGTXOlGny58ebOIm6NKqzJ6KNpETaLIM0qdCiU49WlXqVZ1StWbkG/Qo2%20JcyuhGo+7UfWZ1ixQ9OmceoCblylZOQycrsUryS6e7eqLdb0rF4vdk0URjWYk9+/bNuuBfrYcWSq%20kymjTbwqmlnBkH0wiHBgw4YDCBigM6IgwoMCojc8iKBgypYGsmfXrkJbnJHPoUeXvi0k9erWr2Pr%20xn1cSu4ztpP/4C2atGnnO4SzFl0cuHLqSpbr8eK93hDovqczR636umvY2p+E39f8PJb3CZna4XzZ%20xwL1rQssaJ9DAg+0RmBrByT/IN8P+xXYGgLc5bAggxs4mKB+/BFI4XdGREigfw/SIKCEBiKo4RAc%20FpiheApe2OCHNJyIoYsvsuhhhTqEKOJoJLpjIouipQhfjyICGaQQMLZYopE0/mdjgAPmeGCTOhz5%20o5QQ+jihjDNQmWWSgN2H31ieYbmBcV7mEEGOBUZwZg4OqLmBljG8qaacL9CZo50vMECmmSqiCWdr%20bPL4A54iWlmDoRLq2YKiDDLaAp85+lmkDmkGusGgf+rgaIGI0tApgZCaEGprn84gqYiU1ufDpYFq%20WukOpYp2qgyzxlnrnHDmGtdmYVq1AwJq0teQDwMWgIADO46QgAOgbWAAoTs8/yliAaOWQK2E1vLq%20QrYMbttmDsLmSKwg026ArLImNPtstJvm4G2B4L5rQ7wdXjuCvf3hO8K4IpYL1bnpLisCu6G5G6sO%20+oo2b8Lwqtmww/VCzK0L/koI8FzGopsswRwYDK205+YYcbFCLIwuvyKgXPJI5AT2q2Q6ILtqAgi0%207LK4BUAwI5EB+6DmAUyGa0PQQ4ucg9Eqc0DzujdX3O/OPdNbg9JEVw3l0VTPYPXVNDRdgs04/2zD%20zTxviezWXGcNtQldI500217PADYJYrfNgdlTS4y1iELjTcLbassgOKtW+BpzG5vg6gLjcM9ZwKow%20KFCAA3xzLUHBZ3MggdaDx/+wQeYfb945gEWLngDpnl/ONQyOs95o5DZQbrnhQKOu+tKhaz5C6Srv%20Pnrvq9u+w+slGG+yDQ7IXgPtsIOOu/C6Ry+C74CPAHzq0l8vAvLYt7285C84T7wO2efOPQfnb5/+%20+tUPn/OXxySO1Q4FNOCxAk+3bYDHtiIcP/ORoAFm2oD/kge0ARbwgAFMmgKxx0Bz/eB++dvf42DQ%20P04BUIIJHAEBIdi+B3YvgmQToAcXuDQKmkB/Y9NYDjLopg2W0IQi+OAIQ3hCEOKwhiicmwxUWAIW%208o+EjZKhC3/gOBuqj4iGMUISe+hD0IlwidcbBZjoVz8dXIxBGTuihWrEi5P/fSw2CSgAghawgS7e%205QcPGOPHzMgBNKqxiWJMABnhKMelbbFAc0TMF+GXvjba8Y1nTGMg3VjGQvbRjwpDJB4Nmb49EmiR%20IlDFfsBoBFUI8o6KPOQgExlHSEYRBpskZCgpCQohSLI1qLRkATC5jCGUEpR5HOULZvlIVKaSjY7s%20pC0Ngzgs1mUIlJtUChnWhCFEwACjEcEWl7bMZubNU9yL5gGcSc1ftqCYqkrfdVp4QRpYE5ui0qYJ%20xjnNcpqTBOh8Zvq4KSHxcdB+yMSFEdqZzc/BAJ/qDOcM+GmqdZIAngyS5wxz8M1kKpOZ10xnQP0p%20A4DSKn0S9d48sxBMYRLG/wjL+xYgL4pQ12wuk+N5aG+kKdARMMCkBlLZSifKgZM2NKUj6Ki8PupF%20ej5gpLEUwksZJ9P0/XQEQeXeUEVQVJqKwKYdwukafcCanSrUpyyNjlCrilKIxuCoMW2pUjnA1P44%20lY5CiCpPp1FSmCZVn3vC6ky1CgOurvV5vYKZRhnjAwkwczQRME/6JFAmWvRIUwxowGgMetArEdaw%20B0BsTqdUgMUedmm92+sB+mo6GwDWsXCFwX4k29j0xTGyKmUsZ8m6ItCeVg1H0Gt0MLu0zQp2sKWd%207Fc/W9vQiha3IiisbTsbA9fy1a/AbYFsp6ok1e6WtL01LWV5ywHf6ra4jv/I6F2rsLhXcPQAEFiV%20RUEqs8awZAjfpawDuOtdyj7hMIwUUweRWyj0uk29s8UMdp243iOct7vzFW1++bJR+8zvun15bwkM%20cFa6viBQ9G1BeR/LhAc/9QkSRq2BSYBg3e3KvwvmcOMa3F+lei/D7dvwV13nYQeDOMRs/XALSCxi%20E1O3aClmcYtpeOPq2pXABS6eC94kuhjXKX0OWJh5jUxkJIv4x8CbceBknGNSKTnKJShynpJ85SU3%20qslUxh6UFXynKYP5x2Iec6PKjEAfbznIXe7el8vHKTQ3MM5ZdjIJrHyolFpxwDzOjA72GihwTth8%20b05zDiBQ6DnbANFDpin/o+scZUDDSdCsRWKiwVuDR+fZziLQ9KK45+lH4U3SFBMypM1cglDnE9Uk%20UHU/28wBVz800phKmak3zelYXxrCi941rzPtawvrwbp9tufIGFziRnP6pLiGNbM/TdNni1qgKHs1%20nIsWbGHrQNqrvnYNuG1tb88A3LOmcrXLLe61KdvZ2W5vDsgN01zDu8LunsG5481qL68730ht9xKG%20MO+lBVzPxC42SX1Aagn5zNAO7DD3kH1raHMa4nZOOIMWjmkafJfe9e7bqRmO7X2nG3T+/jfCA4Xx%20xFYNxcn+uKI93mx+q6/ku/wzyneo4pbHHOQwlzisKZ7vPbP3LJmAd8oz/z7eHzDTfytd2tIjxXGT%20n5zpUa8kwNV09F9bZgdPN0HTldr1EnydpmEnwdiXjfUVh1EIZVdp1VXR9t5WveZcNyDUuWd0tR+c%207Xb3+tuNEPfozh3ufRf73wU89KdkIgFzf/nWA9R4lYMo8lqXAeP/+4PL17cyM9C8sYXg+c/7IPRr%20Hz3lB+3eHZC+p5k/vbYhv/kbub7SnLf87KVuesy3PvYY3bHBtfsDXTp+CMK3pBHV99zjD35Dyl+a%208CVP/MzaYAHNv231lUp9Fyv1+ZUXQvGPkP2c5zqO1x9/+G088hhwH/VJ+D7ztQ9r8sM//uc/XhUL%20/vvTYGH5G8JS1tm/YP+1hm9mJoADmH5PJoB69z235X+jUoCHFzcJCDUPqIDds1xD4oAF2DYUuIEa%20eGIOZ34N2IESSF0caE4m2GVCl39+Zmkix3OgQnN0RzgeeII0WFwo+HM0pwq3koEkmGM4OGZAeIAB%206IJIZysxeAhCOHwOZoM/2IRD2Dg6yFFIWDxP+IJR6INOmIVQeAL4t4IPR4WyVGrapIRL6DZWeIVn%20uIVcqIYuZ4QxwDI9WGsjOIcTiIZm6DpSKIYkI4eYQod++IdAx4bHo4cnM4YleIfQx4RrmIZtCIh2%20poJfqHtVWIRvmId+M1a0p251WIOMiIf6xom5JoiNeIkS8jeBWIghF4r/N1aGlkiEbqiIJIeJfTiK%20nwiKj4iInhiLpbhztriIppiJHfeKuEiAibiLCLiKg1hJXiiJbVaLvug21MM5wSiM4kc4DrhyE5iN%20ETdtPyeN1nOC2/iD4siK5Chzz3iMjfON1Ih7GmeOpBg47wiPC9g63Nht8+hg6yh9IHiN4eiOGyiP%20rghMvteMrKdmYmcAx4ePLKZEhTd+k5gf4lWPCKmQAmmNDclErxdeqceRDUeRujNFDhl/ECmRWYRj%20KpWQIJlDN1Rje2dfwHc4BFmQ+icFXaJUuORL2nRZtXNf2xYBPAmTNLCTirF//6eJjfRJuTQqQ9mT%207/aTRPltT8mCVWCT/7CGk6e0lFIZlEKplVs5bl3Je0pQlTJ3lbVkTkzplTKAlmkZA2sZllzAjDMJ%20jZ2XVbBWUZAySQtAXC7pcQ2glyQpi2n0l29pBIz3VjJ3l3Tol3uJVhEomIzZmH05mPDFBIZJUQxF%20TujGhnkJmfuIhY8JmIG5mIQ5BJapVInZiaBJmZs4mqT5ma0pevKTeDaxOGFIVWrlVdrEABCQLQbA%20HqVXA7vZm7/Jl6jCmwTim6s1l8jYixbpd7hpVW0jnMhJnJEZnMfZGskZm8Y5nMrpnIRYid23VW41%20KtOZndVJk9fZndvJndTpneLJiz6njG4HnXVpZuYpGtpZnO15nu8Jn/9mh535iZ6eKQZxKZfp6Ijf%208lzMFV3OdT0OcDP9gQDseJTKE6EMM6EG6SYXyjEUWo0zyIcMqFzcA6HqgSweanVCUKISiqIp6gMr%20iqEtKoOOqS3LNaI0BaMdap2cwqEnqqEbaqIZmp6UWC02mlv+uQk56qNDCqQs+qMWGqQtChAyeaA0%20BScJtpDDhBrChR385V8KwKUihaRHAKaStlNjSl5qgqXf2WM/UKYEcqZfGqZxKlpvShxeao+tsaYI%20mhfENKd4OpJ22qVouqVmCqjnqKYtuZ/V8afv6QqCKqbqBal0CokGWqUaqXEiYgAeKg0b0JlsGikL%200ADqAWIMIKqk6mH/pjqqmpmlzImcFNqpn8qncXWqrAqqobqqBtiquIqqebqpFeippVqrunqrXjes%20/KcEqtqrOSghv6qo3SOr/4kqx5piymqrxSp21EpwVHqp/HZ7H5qgagKUI0kqoKGAznKYMvdj5opz%20wJmptTau6rqu6bqrc8KuH1hl9yqKoRmf4nqu+iqvjQKwAVuu9Lqc9MieIIop8Tqf9mqw2Dqv//qw%20s7qM3Nqt9dqUqhgobOaM+8QaDRCt7XiSJRABHxuyLnphJGuy5LqaCruxKukCJZtGJ6sK3yWzINux%20L3CzJzujGxmYL9uuKjuz5+ixQ0u0OruyDZuxPacmHHu0MZu0GGuz/1ErtUWLs/MZiRf7rMiHijnS%20Rg/nAMxUAGyGRrkptWGLLmRLIBNboVWDtmNLAmUbnUorRakZKF8rYm+rtmZbrBugt3G7ts74tyMg%20t/ZJsf+Yi5iCt6I4uCJQuGwrsknTuKHEt307uY9LsNZYjLW2uD93uYGrtH4rtns7t2c7uoBbudLa%20hRartQjainxagJTWtu+KJBzwJDwDYwfrZjGyMqKBu3sKrsNok7fLAbnrnK8LgMJ7iMxau8RrvKqb%20oBnivMAbuT0nvb5bvNSLskwbnsn7mYGmYbxru9j7vN7rssNLvtrbs9abL+m7mcZovuEaohF3vRvw%20u6GLIu1rv9mLqP/iO71Ya6mtWwjIG7/2x04QsJecmqYFwiQBVWT9SyANPFEP3LASIsG4QsELScCz%20y48cEAEIbAIKvMARvLtL1bnQC54kPHMYfMIofIuiccEmvLnJqMEkC8IlIMJCYMElDFYtjKm02xox%203MMQHMQ8nMHHC78/PH8fnMAE+rMwbMQ+zMGbWMQrLMP4y8BRDMCs27oF/MK2yUsvYJRTDDoHIAEO%20gK658VCUVrNmjMagocYwxcbk5cZpzMNMM8PEqLRSnDe6U8dwfMeC1sZnbMdWLAJzrMN/fABxzDiI%20TKPo6ML5AgNjHLwLpsiMPAKC7ESXHMjnyMmGjMcanMRkDIeT7Mf/hAzIoKzJdIzKi9zJofvJa7zF%20V9TFQTjKpOw6+CN2VvY7hnfHFVazvgzKwExewvxQxExouhjJ3aPLZsfL7fp1xxy6xgxTyIxE1Mw4%201qyxkOzFjdPMKvXMWuZ2vzzNZocr0lzO4zzM76vM3exg39xb4byv5kzOVUvP65zOclfPB5u1tcyF%209IasPwBvslvJDuZX0VzN53jQ55zQFbzQ+wyNAJ0+A607D43Puqs+Fo3O9Rqs6rzRER2Qh9tv8yuK%20Gt3QGN3R+nzRKG3S2byZIb3MXUXSP9fSCCvSGX3PH923NW2Bu9rP/ozRbFkDgJUjsNJmB3CiCfAs%20PEw5MofUE6rU/6HB1I7sA0+9AFHN0LjS1HTLrzRA1CJi1E6d1EttyFuN0VaN1VPNb2hN1gFl1kHd%201TPw1RIS1krL1lJd1qssBHed1SLw1sXK12qNsULt1WpS1xgb2Hlt12ON125N1VXN2H3NAX8dyT8N%201DdN2OIkInx8q3MdHQqgAHrKAQ0wR6rg2YcV2thL2vx22o2V2vu72lztmv+02U4MA60N2qId2xiN%2026/NM7utu72t26UNYOxU27HFIK493Eor3KpN3EPQ3LCtRonHCq5SIJx909H929NtBNo92s8tBN4N%203Idr2ZftzpHyLOXBpKqHAL1xPyhKeP3BAIDmL2PFCpJWAPPdIP9VjLH4rd8/wt9wTR7SYdsxYDPu%207Zfr/UId8t8TEuCY7d/0/eA3HeH7DcVcPeC/oV4HzjAJXuAvUOEAfuFBHeIOPuIkzuASfuKYHV3p%20TeAb3t4dDt9HUOL1Tbc1PuExXbwpbuEb4FRTSsvmHdNHAkss27LiIho2NCBtBFhj7ArjouSuwTlj%20ia1QbhxLPuVODn5LUoEKjuRpdOVS3uTyauW9y+RUjtllPr5nruX951Fd/uFinORhzuZkPudmnuUj%20qeZYPuZ0S+SwuhMysOdijubn3QKDXud2DuZ43uc+HcBauwmpEk9wTun4euSPlwOSXlBb6+VJ95Jx%20LQOaXiCOGuj/eNWRPhucfcLpca6li9GnsinkurtKSd7lAR2RJekVPjDromTk6Cfbl47pqE4Du95K%20YWDruJ7ryC7n5MLpx37qwg4sw8bF5r0JdcMsFjR+YXqP+JiRXGtO3e7sBg7TMW3tBYPt6qrt4baQ%204N427A417q5U5f4x50636X6tfArvOZbv+j7uSvxDCFAz9D7Y9k6szrnvbHjwCN/vuFwW037Z2dXB%20iAnGiBsDiIaNM2Dx2ojx4U5jEY+x1i2fL73xADnyGi8DGS/Omqu0IN+N41jyJUgDKA/zL/9zLJdr%20LL/tIE3zBBjzHG/zFQ+BMRnksc7wLQBEAyXwGEsmBe+6TrtC/6zhgE4fRFA/gVI/UFQf7/Ds10lf%20rEvv8wtm9SNQTBsY9n6N9TdY9pN99rB29GLP9Tft9VEvA2N/gmlP93U/92uvtG2/9QS9vfTUvefN%20ZS5w9z9o93q/mYcf9LBO9MtM7OELi67bQtzkgJN/HXhp+Uwf04+fp/cOvbY2Ppd/gpn/9Q5G+no0%20LDoX8hp8+qMfA5S/ga2fa5wvihOvcbL/g7if+68v+pXq8EC9CQQ16k4nkipNhryOw8vqhOXCIXiJ%20/HGr/DIn/ARC6kMQeGe3/C/Q/DXI/NH/z89PuN6PsdPfGtXPd1SXgd3v+f5+huqv+YIP/o4r/sVK%20/qJh/kpX/P+Cl/7aP/8gwInjGJAnSm5bk4pLsW4uLZq1u7YuLOPp7ecKBDodojCpXDKbTlLwyXHE%20ZKvC4hl9OjYMKbC5gSAgqYh11twmx+Vz2sn+uc0otFUOHlHTG6zeXtfXHpRTHVwe0xwdmd0Jns+a%20mGOi5GLhVJUV4KSgV2bJYeVdHCblW6niKROi6qUSI1NfWier1GCozWgqpOmSbI2r7yow7yNJ5Iqn%20VtFRsG60NBi0koTBykEEYeBexEFCitptm8hDOMmDX/eS2vmJ+q9xqzn6SHxxrO519rZW5jd7Ktgp%20cSeQAz5YSaqJqwdvHbOCDtNBJAeG3wZt3Cw6CdgwokSEBxP/LuNIZ+K9ivPoiXwob+E+bBn9EXzi%20EcW4le1QmlMJUwxPhD5/snxH8aUQhjSIGEEy7SlUalGlKBXmB2lSMAYIKThgxQCEnPq0cvUqA6xY%20ok62iuj6NWzNqWqfXMX6o6oLthzcnoVrUolevivQxgVc9m3arHJBHqqrcG6TwGYH+9W59nDfxHf3%20SEbMePHmPY4fK5bSOfPnJacpa8aBN8XqDYT/JnXmFDTu3K9xSkrg1YCDf6JHt66xm4SCB5qs7JBQ%20WEny5TKaPxcSnZYOEc5Tt+v9Ozj3gsSrW1eOnYX28OWlZ+ewnfaP65vQuycvRJFv2eDh3x+vPr55%2081HHHw7y/zGX3n8FBnhgfQTigN939tHhn4M0GDgdgpY1cWF772nIBIf0eQgZMLYdlxuKCdaQwAbv%20LJDGfh+2QqGMSixA0ogq1nBjGjlWyAOOe5xIAosuwqgjDcQVt1QhPFrh41hgOCkDlFE+MeUKVZLI%20RJHhvGhFjFt2N5qEOGC5gZahSRmkVHucmaZrhXTJwZcyhFmaFEqWuSObwq3Zo5BN9rknECameGhU%20Q4rgAAJt+WEAoTnQaKVNMhRwJ5I0RHJpIYqKsCmmP7rAqKNpQCqqOJOKuQSogRbSqqtgwNomGKTu%209WimqZKZqyWc0iqrpaHWyGqwseLS6K2m8nqCnssS84ewq/8qMStVABX76xqGIrptNJ4e0NYmjbIY%206Uc5kJuWOgYowCy5HKAr27oD5fquuuw6O8K3e4XLwbio4iRMu/TGO8KSYQD1UL3yoiqwvf6ekK8C%20+/Y7bDlJBoxCugOLUDAKxzGsMMXmIqyxu/eKALHEHJ/gackW8/oxwS9jDG/DIZebUsIxO2yDttz6%20bOwhCjAgk2z4trvYbmOgcADJXQSMzMlNq7wyJUtLfbQKQhN9Kgf52nyox1B3fbW/Sj9M9sJiM32C%200ya7q/VZRu88VdhWsz21KFWffffTdpPQ9tfCwD2Y3IGjWPfef+O9i94krK1434nzsTgHijL1zM+Z%20VwvGZFf/EIJAFm4/lbSS+UgraeklLZy66oa70Pkfn4fuOm4es0657ayfezvW+NYiu+jT5J76y7wX%20r/vcJ/8uAujBSzN86ccTL330c19+m+bZn45DWGDu1cAGJG8vxQ7zGl/2+bTfTnnlhXRv5/fhO59C%20+egjT7u76VPa3/34n/D+CoKjAPCJT01PqR/+1ke9Ztlvev4jAQA3IEACzg8FCNwf/xyIwQn1b4MP%200h+estUUlmkvRSyDQITy1zoPLqEHV0HW6jo4PmaBMIQZrF7yRIBC/WyMNHFq0nysAMME1vCHM5Kh%20DTmoQRYqYYfA6eEKk9gEF/phiExE3RKl+EEkGlA8XDRO/yacCB7TdfFKQZSBFWeogiKCUQxsbOMR%20s1jGEo2whHY0ovZ2Y8Uu7CqGcpyjEnGovjcyyY56vFsfifjFQsZRkFfkzSIZmccm7FFVWrRKJA3W%20SAYq8o9wnCQTKpnIR0LSk5L0oilP2QZCalIOPbsjLA1hSDEMkSS1OFe0JhewXC6KfUnj5RR8ecek%201XI0BdilEABHSmYBU5nLJFgzhTnLVhTTMcd8WTSxmUxptiKbORQeLY9Sl2uWzZsJNOc5t3mv65Ew%20lnJpZ7fcCMPRHGB26gtJ2fB5z4p983nyJJhj6nkxfj5TZ/c5lz4LChrSzTOg9lRoyw6aT4JCdGq4%20G+Y/of94FYHKjKKXdJlEJxpSiJbgle6EJQmn9ACxDXIDyEKTCBLwCAk8lKR0QylGM6FSlqoRii/d%20jkxHQFM/gXKaJWznTjc3pp/GdKY17elCcWpUN+FjpUr1IlP55VSiZg+e8ZyqCDF3UneyjGicAGYr%20k8CABSAgXzlpwMA2cBCoIk2qR82EWa+FqrW2dWMkgCvB5vpRRHlVF4XNBAnzegW0Uo0JfHXrX+Mq%20WED67LCIzSlnruKrvbIVsiMA7MYmi8eu2rWorqzjWGPpKWX4oYCUVYJyErCuBBTAS/Tp51fBqjmW%20sTYNrv3kE2I729rS6bYPTFRpSeuN0fxWlU0QLr+I+6L/Cw4WbMnd7auY6zbo0ta21H3ttizbKcye%20VqypJa8TzsigHEYAG/lCgF1Gi130zhcM6sUQe93LvPgCt7531W0T7tue435KvxyALxnBS9jrZo5l%20AjYuXSFhYAT7UL4NZvDPLGfS8yo3Tw04CAMcAL7eiYABl5iM1wg8OgxXthAsALGIL7oHE6sOxSRe%20MX0vLJoPnyDEI84hjcdh4wpeNscZdjGPSeBjGYMhyL7Lxo3BaeQWU2XDHNaxFNIIMpuSAAYRGAED%20wPc43BqWxdximZYNyuUReBnMYm6uc4885TMXIs1+/WabS/zmKPtzzuGtM8DwXIAv6zkjcB6Cn/8M%204FhY//nKVJaVC9p7Y/ZZWM6LfjSkz8C1NUe0zJfGdIczfYdNR3jLRf7vpxXtjUiTuroPkjKqYx3q%20sGLP0VhGpZIYK0swaAYsXF0CAyDwABQ3AAIb4ZU2NMYABMjkAHDqrxKCPWwZHKDYx25grt3Wa54q%20uAbSJraxr6qEZCuZ2dl4dpyF8G1qWxtbq0ydrhnH67xwu9JqFTa4rw1RcoPZ3BlBN6KlsO5stPvX%20NyROvNsnGnobPNr4Zne4G44DfpfY3852N7AfTvCI946dtjbtu0t36LQeYlQwXRaF62LnbkNyBArQ%207MhJnoSUv1DcIVdSzHedJ5MDXOehJM7Koc1Bl8Nc4v84oHkVbX5w7eZQM13oed6cgPQ0BD3dmCS6%20HwqQ88ZKHehGTxLrti7vnafg6VibuhC/jjqs10LsUaek1zve6I9bd5OjqbrMhaDYcbZr77gKmOrw%20UQA7JKDVdPW7sgCfOrxznQmIv+WyHh+346XkCoQ3vKtPIHnCKb50jPc5YFJHTv9tvmiU74nlY4p5%20lqOg9KsX+hY9H3nRH831iq/8Hy6v9ryU7vVWv8vc6X44N9LeWbasC7kkwDqoj92LMbWUxoKaK+Wn%20jvkKt7s1jZ/KgDOB+qVjfu6ef4Xo1/v3KfC+kqwPPeKMvtTHv0q70E8c8DdGDSwaP5HKz/0lyH80%209Cf/fum0X+bNjCPRVf85xv8dkfj9AfnF3/KtU/AJX+0cDHKZhpJ8Huj9QD3B2VqlWEWVRCTUlHLk%20ygbiQAcOFFQoyuZh4NuN2wJw4AJ44AAClBqEIMaQSwl6WwyiII49wQq2Sw7SwAnaz6fIgAgC4Qua%204A6KVA+uxQUiIQzKIOutUQ0a4Q0iWxLqoBTaW22glgTSWapp4N3tXs282uk1GwrQFkJ51AxGFeeM%20IQ+aoSKJABqegBrOS0KVWgVKAexQHRmWYaDNIQfUIZEIYBt2mhxyGqw9QR+mXRwG4geqASGOwB0y%20YSLqocd9IRjKWhNMjKctwQFAgGjFlAQY4hTSIBSp/w03jZso4kAClCKf5dYTeGIoHEcojiK/wCIR%20qpAq4mArroguklkt7gEtnhoo/iINvKIpwt7V8eLSrCIr4qIyEtl4gUExViMT3KIrBmMkpuIzAiEy%20usA0Wk8EauJNQcV3nSL9LGISHKDK3Z4KHYRMJB/rsGDzSUM6MmMS5OMfkoA71twuyoA8RlEb/mPS%20UeNn3Rg/OuDinZ5Aah5BqqN71CNCisBC5t0SXKS/GKQfBuQKDCQ0tiNFkqMXmqMJAdE7apt38FDf%209V4/ulwEFEAD8JFYIJjv7V/oKclN4qQZpaSKQQhLzp5OtosCxORMKoRNtuRQRhkVdeRPruQT1Z5L%208v9KUcokTZ5AUgolcexkx+jUfdkjywBlVGrlaHBl40GHUV4lCWSlw9geBJakSerGJ4ySHj6fkXjP%20svRWGhBa78TYClHJ0eilFfCl29Ak8uXQnNRJAGGNYMoAYR6XX4oFYOYlcTymihkm/CFmi9gWXu5M%20Y66AZephZNLQyXlmZb5k2VkSFyZBYh6Js3zmBoTmIfIB+PxlljDmacodXMalG0rB+13BjdnKyyXe%20zgRbAxBNtXFclEEAqaHBCDqLcSJnwaEmAfJdDgnn381NdEKcvtWlDjVni1BniUHAcXInxjHBb/5B%20YSLLcH5F72znxnXnbP4PeD6ndpKndCpnDqXnMpr/3w9gJ3EeF3xmxHSKDnP6gn0KKH6ap3jyzG7y%205jsNR11wVA6hDBrxS0jeGsj5F104lNtY6AqIS4ZaGidqaP1t1FOtphCAqEthaCx+YomSaIdOaIrq%2044qCy4Veo0RGaKLVXTM8KITuIV0A1VZN2uCYXte86DBSUsKpGDseApEKVY3aKB0cKddsoYr66BIg%20QJMqYp/xWpRqx5T654NYaeE46ZduaZd655OKQZi6x5jypBiY6ckoqTEqAZeeY4wuRDkGKYyW3GdJ%201o3BTgEADwlGgLJZnPW14CoVAAK43XwOHIHqZ9NFVmB96PIcWJxiZA1QHAcsW7Mt6vV1h6NC6o5+%20/6rGTap8zqeagZa74CKnJgGhGqq/eCqonpvSTUipNmETSGpyrmqWJqKryhWmcgKt4o+tKmquftCu%20tqnDTVt8LmsXmpef8qhv8stwedeNRdAEyY/5jEN7coKpQo9GyOKWxt2NcZd0QRir6tCRDJC37mKy%20tF3nzQSwOgzaXWiD3gO2Rpe25hC3xg+khl+p0Cv1lOufniscble/dldxaWQGMkHAwuvA1h/biWu9%20IuySdt3CkiS1VquQdsSE8ReZck8KJViwUiHuDZ7qUacR1qZsUKpSbuW+FlhG7BfKlmwNiJFGwaNQ%20pB6/mGXEbtECwCxY3OshuqXbtNfNHhjJxmoS8P+sCo3oFq2s7h1P0fYF0u6o0qoY077X03al+5xs%20hVFpy6Fe7rUs1hqtzJKlYwgto9LRx4Isr/bqiVGbnd4p/yyg1uUfPAYb0TTAppqtPz6g2ziZ8kCZ%20MG7smPBtA+4i4E7H4OqsdhgukN2t4qJpmjofhuIfJeqf2Cogqgbu5MrpD3Dkkxwu5jat5prruzmu%2030Iuc0ou0Ihk9b3l3NLt5jpBnn3qnlXkeTajDcKDz47nZMwkagahCwyhoPFlmBka8Eor2FXhChyh%20vBrvdHTpbihvCjCvk/bu846Zl+7u3nLA8KbD6YHZDumA9joB96KA97Ip+P5u6yZs+Z4vv14vqh7/%20b/s2wfv22BIeVybqbgr2qJa+7iBmLiX2J+VCkQsUpVkwsOlC4iWyKfmaaPlOYkxJcOg2bgpAMHDi%20IRueasjOGgJrcHSl7wmAsHp21EhZsOty6Akr8AarMHJ8QwhbIgWz6gATsLOCWiYwQAQ8AAJIQJOS%20jhrIQC/aMAooAAJwcAfLajimwDguLjbqghATsRHDoxJ/o/428RP7ojRy4/ja74wNcREfscU648Mw%20mQdbSBgj2xSnIRm3a90WQhanMRevwBILIhxD8VlK8RgDctwyGpD68BWb8A098Dx+KxSBZPFecA2g%20rr5ace0u8gc3skcSKwlocjcWcPeNpCUHLyZF/6QCePInP2QnRyThqiwoh3JDjrL0YpFmnDIrtzIq%20xiNEujHn3vHpijKX9TAimzEQ90c9rWoMkEtVHuUKsaUirWnKrvJSRi/gHXMNJDNVpiVSct4zv7Jq%20TCU1F4810wA2+8syq+UIODNdwY8v/0DXljHjisc4u0A54885bzOSRiI04/IIvDMm9ukwy7LL7qTy%20Yc1oUqH6ue8KJCgx4wBsyqYd/7AwEDTVJhPMkmYCguJCezOxjAZEkzBHtwFF9+VFIzSybXQ7/8BD%2012xKJ8lI38tB02BGjxtKS7RD5ybu1lpAJ7IM3wcwvdy21qd48pU9RuqCRussH3Ab/HRFN5FQL/8L%20Ube0tx21qpKyqrUDUy/nUztMVNu0CVL1ryb1SYpBVhvoVvtPV0uyuoF1gXqsTu+0VasVDmcEAmwt%201JaLY6gZPOttT8uowM31AdS1y9JgRTT1ghnw8AUxYAs2Cub1nQl03vI0BjuBEJtFYNt1IIeUYyMi%20DDf0Jm6o3L41XLN0U15B6Q4tJMrUb2ThY9cvX092MU/RGdlCAuXfamuMYSt1X8c2E5T2H5z2PY6U%20assGa3N2RKv1ZyuybGcdcI+qPg23ARR3bo91GOq2IefuaJMYAwhYxVIg0c3VdCd2dTNBA5TBuOIx%20d7vwd/9LOEO2nZY3BJz3jKW3Dr8ceEd2XB//Nj6a941tt2O4ncc0MSeb2nHHMGyDAXx3949id3Yn%20T76y6yEmRlo4U2ezt0CH9wmUor3+Tw6r2INDbCFXMGdTeIGLjGsD4mxquMa6awvn0Iert14HE363%20doVb+AOpOE2MQPcQcnD/nGOAeI+L+IRjOKCeOIGfKo4f247ntHj5sKc0K5HEMbZx0l7rEvCSuEQq%201oiUbQOjAJRTopRH4vbdNS7wsjRgeTT3sx9s+S13+Ql8eUyF+TqzEplzgZlHA5rzMx2uOWm6DZzz%20i5xHOJ1H8ZnfuS7kuZtreZ+7dZMTsKcUB5FrVAG24YMNxSFWetgS+i9fRf1w+QTn4ZHruQLx/wqm%205+ynk/OgZzYOuGOnt/mpvzCKp7mkUzldlbqna/oP2Lqr13nhcror/+QOS+So+4uuGzoOFDtD+kGr%20G/u0inaDE5hMzpUT83iQl/KkqyMl3zqur3qqo/brvG0u51C0gzG1r59qyvpEZtK2T3K3hzgNNCI3%20a7uqL8G4r3CgC3u7VzsNZPuuzzu7q/u6vzu4O7C4Jxly3Du6Dzv+8Duz73u+O7esDrwKMfmzX7LC%201gWQ6zst07qgj3nAT++1yzq1gYcCaPipyLu3C8GLT/m56/nUcjy6v3zLN/DIt4XJE7yLj0bGmztd%20zma+n8jD584BkPzNT3zO//gCzfyrb3zPx/980Nff0Nt8DJx8v6e8cQB0xS99DUTMfyPTf0a603q8%20v9fAg2f62KdAFYgPGkAKyrt7EnB9XQD4IaATSZW9qfP6WgL82Xv5Cqh90bS9xscHfafT1x+N3QP+%20iRx+1Vs938frCKy90asY3F+F3JO1OqGc3rs9DSg+2Kd9KbD94gf+UmB91n/8f852c0M8rIMU/pgY%20lrrr0bg+90Q6gj3wARBNlJ2HaT8i65OU7O9swwsh67pAZdBO7X/w7QO+6jeB7v8275s4Wg9/ChR/%20hP0+DVA/XR1/Eyd/6C//LKD+89+M70s/CmD/jlo/8YO99q8w9wf/1R9y6cc8CmDEirv3spT/90k4%20C/6LuESCQLEtXGmayKaebHsGbiybkqEeETPP8O7/wFew1UD4NsNSL1kqHpmc5VBEiqVWTCn0VLvl%20ttqtWBYOOnfIZBl4nqXVW6rs+g6uod0NTge9j/9RYm0ydUB+O4MxhYZxI3Mqiz6HOwEBHR2VgJqb%20nIydmpMuBg5MCQaepQ9PWWIJqmh9UAo2EDIOIrGfgKEto6WnP7wurqtDwi3EsKxMsxu1MbeRkrq7%20UL5JpqipxXatr265zLS2uHDUY8cm10PZwd7c2tjfhOFJzc8u0ctglpjp5wAD/mMhrUQEEQ34uGNy%20S8EQBQVILQy4j6I5KA4kzGAA7KKYghwO/25IGA9Iw4cRS1qcttJjkowbOxoDBFIkyYlDTgaBKJFl%20S5U/yYyBKYNjxS01ESqkhLGAw50pcQblMRWoSY1FZVoN1i9T1a+6Bp7Y4MBGAawlFkDS0w0KggJV%20fEAoYGQrWLEU8QLUW4KsWbQc1EI6YHcOXCBz60oFy4LvOcdhaZbdcPaE4BuFrRz+kbgtYxeQI38G%20Lfmv5bWEFwN5G3dH58xTQ3+SzUlvpUteR+uuB2WtCsUPVNQygI/pFhs4HCRA5uDthnk+dyuR3pi6%20Cce+NwAXzoG4aiDIIyhn7hy6ceu0a1uf/if7dmfdiws9rkf8chYJmoswT3V9+k3/VdOeb//vDSdf%20DHiFNx5++j03k3/rsYceOl0FGCE1fGXnCAeQlOAAf6SJQYeGa0Xg0iYKBLfBOrAxoyKL3/2Rogow%20RodUdlV0yMGHMf4wIokqmPigLjOu2FOPYxRZ43mdKHkkkj9omCMWPNqYxI9ACunZJ04OyeWLT1qJ%20Iphe3ujblGlUySQTWJKoZYv2kLllk3LOyUmXdhpT4YV8VjeGHhI44EAEBzTQFxYcFADnMAcA+dx9%20ZW7S6FqKQbnFpJBUKiYgmP4WKROACkqooRwiquimQSTQaXYPQJqnJqtq2p8usX7KKYG2DhHqoIUe%20+sapa5ayqm+tHsVJrYsGgWyyQCyLahD/u47qqwnAzrqFqo4We6KkuDL7g7PPjgGutVns2ee5GbLA%20QBo6cugtfhGoSNkDETxlrCYisLVAVJZCkS9h+4Y53yf/BsZvuFGqyy6iIF2nSQLxQlIAvfZuiy9m%20Ab+7Q8EZaywDxwcHC6rC0/bV7w4QyztxvWCcA7LAIery8quAzHwyPSesW7K7CP+QssQUt0yNzT37%20i3HI5HJCtMh2mHsunxkupXOpbzTscIQB7ruBkO3cPITWXGuVtCZgl9B10W5IvXDVXrdkYdkcnD02%202SKETfMYcMs9t65q72x1IFifk7fYCApet9mEF07N4B5z2DfVJvxt4R9vHx534i1UvjXi/3fjbbne%20ivOD2+RPCyjGAXQtAHGjJUPUOIaBxz7hH6gjoDqha5fgOtpBkS40hMCLm/rquXOwO9Oj+c6bdMrf%20m0Ttt7MOufHVDjz79dgzT+HopUP9hwTZHaCAApDU0gCpvP/UvMXJyy4G+L6JTz5357e90vq5foZ/%205z/Aj9r45eNA/dLnNvdRZ3+N899gAEg/9O1NfwbUXvD64LTuZc8aaykARzIFidY8kDF4YQAEHoCp%20QkFgKc4DgghJOJgGnBAdYlhhCV2IQvYNwQYS2+BvOmg/i+hFhi184e+gAMQb0BCGWyiiHo4oBsjg%20UAUafCIdPBi6Cw5BiSasIf82MsIZCv9xiEzAIhOXh8EcSpGHBLzfGMT4xRT+gI1a3GJRuhjEOPZQ%20CRW0oAT/cIUGPCU4qgCfrKx3wC20iVJNFJGjtJNItyxykK/jQB//6CBBRnI2inQUJNNYgkNmqpFs%20eiQo+agCP5YAkByw5B0FkkkgbRJ5PvCkp8A4BFkykoyOHAklA3lLTuallSR65QdnYEthDvMRmqSl%20nrinRyu2L4I/eKKjMAfLGUgTSNQ8Zi8WSSNlPnOCN+TminDpg2uSKJuEBI840VnFPTqznOsk5w7M%20qSF2xiwJ9MyOPf30TgiWcZH7FMI/p+lNeHIzoFcTnT+a2c+7BMSB+YuBAhcJGDmyYKL/jqposjAK%20JI2u8jEPLegMOEoij1ZTouJUgUlP2gKSamil2uxdSOUpA5dmB6btBIJNfYPTnPYvpRvoaeagyQmI%20WpQLQBUqP4ew07UodalBaCoknppQCjKTobsh3d+GCgitaciY92zWAirmAgYsIDU2lMEBxroDs6I1%20oi5YK1lb4Faa0sSNQfCqe+waV7Zu5Kx4jYFc2wrYwLZgsH9961F7Y1gf6LVbaRWsX4tSWLj2da7q%20qqxlDzvZGNQ1su1p7A4ei0jRngCxlFWs/VDrWc0utgSsLatrV3mbhWI1q0zY12G4ydcdOGCRvR0L%20tIIrXCBsFaoJMy5xTaBbEvAWtL4F/65pIzdc6BKkutalrnKnm5YC7Fa6m53Bbx21XJNtN7zFTW52%20tave1xrsu+Rdbz7Ai172wsN+xz2uQJOQX+6+II+3dWgS8qWo58q3BfLSUPWSdQAIuGoYEljwah2M%20sgiXt8EPRoaF/UtgqgHJvyxIcHYknEYMV5jEMT0thWeQgA3L18QsdnF9S9BhA7s3xI5CcYpNAGMZ%20tFjHPvVBj2Pw4/JyYMgQBnJYgVBj+jZOxL5R8pK/tWIfy5hZSNawlLn6vCoT+cq0BXCAq/KPJsf3%20wAQB0lrLK9VZHrjNvZwxnMHK5SlA0cMkAvFY1ExF+83Zv3/mbqAPbOYPo3nPJFozoP+BSuf9MpXR%20Rh60ewud50NHjs+RhvSbNb3plDa6quW66pgF/DXvOtfJjQuq2fAhgT7bL5++QSiogwDrtchaQuE8%20qEhl0Fw8a0jPkcNKAljtak7WGhK3Fsuxu2nkZY/TyL22caqFTexdy8DZyaaPro3cnXj6N9qo9mWw%20V02DYrNUFN5GM7atHYN1A7u2uRn1V9KFM0ubtwn22kCGexiBRb7p0P121L9nbBB/jxIp4LA3z/Ad%20uX37MuBZYncMIO6mgweB4hoa+I3T6wL94hrhJjBlXxx+bhdgPDsav+PJfZNylRuc2xxvgccB96cT%20iJxDJN/xCVZeIomb/OUw5zkkWl7/ctCIWd4FrDkm/6CKBDgkAQVYjlqMekcRNuCJWURiEiFw9Tpq%20PYxcx/oYYW5fUACi6U+PemBGQnari72Nlna71y0eBLkbEe4Kn3nRY4D2uKl96m0P+9wD3/W723GV%20dl8i3jdedtOJoe9QlzrbgZ34rPu8rII3/NfBXnjFH37vjTk60n0YWlEcqHERQE4nfUN2kBLVn0rv%20xenFbRDVS5L1wHY9OHFbetm3PiS2/9HvRbN73WCn3bMHfQtSz5bbr2X4Sy/+N61q29HHpvcs+C1V%20Zx3GdpUQ+p1A4CXVg/0TaD/3HFgXor6PfuI3dN53ne/2aR5D7w8G/OSXPuw/Ag1V/ytc/W/Afgrn%20foWkf1whataXdPiUUluGXFCwL1rCAA2gB5hFe7DzeiCkbdzUgNyXWwUQgRMoPvgHIBcifsbGgO0H%20gSYggRQ4gmaHgaS2gOLEgR+3BSpYAiwogu0Xfe9HZttTfQmogEkAZZU2gATIewYYg0OYUjvIg+5U%20gD3Id0xohE6IhFEoU1tAhL9GheEHg0pohaEGhEFIehroSi54XU2Yf1eoPmOwbJ9Wg5+gdyaofGS4%20htskSlzYcWdIOSXohdbETW9If9Qgh37og0lICaI3hkc4BMNSWu33IYaWhy94iIZ4Osn0iFpIiJRY%20iVB4KZc4gJBYhAT3S4WIhZZohv+YGImjyEqlyIZNlIiK2IWtoHd0eAIQEG4WGDcIYAOnlHO1iB+7%20mAbaMnwJEIy9SHfsQIvpxAS3eGarCIy8yAHDaITFGI3TOIDVKIy+qHP4oYxBNgTNqIqMdwLZeIzQ%20V47SuI3LCAXoeI3jmADeOGVJEI6iOI4m0I7qKI+lYIzpiIz7aI35WGdhGG+xuBd/QHV8SDu4+IsF%20pyNQZ27cuHzP53cQuY5DQHFmsxnoh5D+qCwLGZEsgJEUOXwi+ZCXN3ETaZK/x5EnGVcfaZEXmZIa%20+YwmUJIzSZMNiQUqqXAs+XuNOJEDaJMVqY8x6ZA3aY8hIZNDKZBqAIsFOYlmkgb/2LIkH+Vr2dF6%20l4Eo5AMzDLl2QLmVWIl7xkMWv5eSjUKVXSltjZOVbwCWCseWJuCW9gaXukOW6GeWRlKWL/mNeSWW%20cmmPdDmWXAmSzOWXdomTeImWhOkr4riWhjmYfAkEgfmXgPmY7+aUT5mQs1gsbAmZkRlN+lZWmng6%20CPAUdfBsCncApXlvHJJt4rKaC9eavwePnOkbnsmUTGAD+zY1qQmbpylrjqGapjkWrkmawxk5xbmZ%20krcWt+mAC7ibo2mcrIma9iic05mcl+KbxIl+tLmckNCcjkYf0OmT2omc6GedsUmd1VmefQGcP0iQ%20mVmFL1EX82NrsxmPuKkr6dWM/2W5n4hCk6dpAvyJfs1Rl7HGnfjpnPrJXgOKmP4ZnYzFoP9pjwU6%20lgeqcPAon/z1oHfJoR0qoTPnGBVan8iGoBq6oPfWoPYYoCWgoivqoc8Ib3OIdHyRGhDxSRmagokD%20oUwwMRKBBMXYLjjpoyYTpBPqMUTqLkbKo0xgo/nCSDmKk4Gxo7+XpEBKB+hnpboopOOopUvqk7rz%20pEYQpUi5AFSapQ/wo1t6pBbopViKpmr6pakZpjgaomRzpgrnplxalXrKpm2apkX6pjGKmfHZkgSh%20ADqEmqqFX0DFpEMwgdi0kgSVe5B6TmWJqE/UEYuqfI3qqI86qThZqfXUeqKqT/+Xmqia6l+dKqmR%20ypOgGqqvmmqYWqKwpaqNyqqW6qqtqqu5OqgIWKhqCAWrokGdtJQK6ga3mnskmh3gGZ6y4CjN2oE7%20Aa0+GWV8YDu2ClS/t6y2iX7cypyt963fWa0ZdK3GKq3Iqq3eSq0KJ64qEK1waA/sipPDaq7ZOoXt%20Oq/26K6HiZP8Cq+2QajAam/0SJYKMIEVyKnJ+pZP2nPDR1pBYqgsALGb83sFSwoHuwEJC5OEsLBS%20SrFEx7GS2bBDJ7GWQbIRa7HdmrEb+5kd57FlirIVO4Aga7Inm3EqC64se6/i9LAyG7Iu61g/a7PM%20NbSX+asD63hbAAFn+aN7yqj/6jqADMB8lNEAAZmfYUS1BWC1HVl3Wsu1RNuiTcuYPKuWVYmDX3u1%20zppEadu1KtS2YcsBTJuXHla2e0mUVwS3Ozi1OLS1aru2RKS3Azi31wCU7rWqeyu4Upp+iru4fAtF%20YHu0Ypi0SguG53VfZ3ui+/eEltteyiCJldu508e5nptwoKuZdqhGm4iGpZu5sri6rqhQ8Em5mye6%20oxuHe9h4rquHaUiCrRihi1tvwcu7p1u7trsJdhoQnoq8vQuVnTiIzcu6w0u8jCejtBus18KP7uhe%20yWGQf3K3WAst4HusUTK+gPuP2mio3at7H2G+8aor7vu+xhW/gtgK2vu38qtW/+Lhvd/rjKlGv9gR%20v6GBj+q7v+wblfVYlWZrgQtMmNZ7vc4LBUJpqGvRAAvwebnXwItplWIJoACsCRN8rxaMwXknwDTx%20wf3bmGcbwgdWwResufPrvwqMwimcwLnIwgTnwiSMmCY8IDI8wz/8iw8Mwaj7gJbpXytkaywTwfxF%20w+0bxAypwSLrWEdMcEmMbEscuk0MxVOMBk7cG19sxF/Zr8xyxTSSxUUMxlwctOmqwgzcw3hTxe5l%20xiuCxsa7xW68wVLMxh27xniLiEhLxPaGnr/Zeg0CRdh6x+Lrx398BGGMxzZsgYS8nfZ2yJSRyG7r%20yIxMvuW7yZzsxZ58vsrCnv+yWcnOgcjn2signMdd3MaRnJZwLJ3p6Z5DccqXnMrhG8OszMeK8MiQ%20vIW+OrmCbG8sKrd+2pW6kwcq8AAQ0LK8LHNlZQC3Vr8jQ1fSTLSRwBHTfHwguoMKoMzP0cz9ac3Y%20Cbw5c82tl83o/KEpesytvAPfLE3M7MyqbLrnXM7VrC7rnHfRjM8b2s1GGM9rMc/jrM/+jKL3HLbq%20fNAHKMzD3KWAqqSCOr1m1QBPmrtxhpSEEIjUjLwc7Rh9mrycUNEXHb2RE4ha9dEAkdGNE9K9S9JP%20m4sbbdJ9odIrjdI1E9FXGtMbnFkWzdM9PdPFyyE2fQ4sLW5D/NCUGqvjl33/hLKH8LipyExkzXe6%20UY2ro1q8vJK7V128XW3VVQ2ru6rR+fDUNP3VZI0MYZ3W3SjV7xwDpXqh02t+Zu3Va727bc3Vd43U%20AqvUnzwD/1rQJqcU47jH9dzHu/zMaRbK6AoEgc3PMmATO9zR8MvYlL3IiX3YL2vZl+3Y+ppqMyDZ%20KxrLCAzMPGzZjvHYDhrZhP2/qH3CnB3Ar/2KgezXXVmzZTkZlVGY9+cxi0SD+dvJJALcna3Jw+2z%20OHuXug0YWenWf+3KI3aXOZbO052CRpt3y30avQ3Ex13CQELcst3dH3vdiJndvI0Zri3eo/3desne%20lpbUtv06j1u1+Bvcxu1m/ypiIL7tKMmnx/xN3UDS329dFI2b3vjNHd7B3Roi4Jq92STC4A2+2A8O%20ffPttwoNWfkdHwaeHRD+3Ii94O094UZY4ZHr3Z90Sgje4eEN4ibO4i3O4ZI7u/Ed1K/7xGuBJh4C%20Irl837aGy/a9yrHm48UN5D0etzAs3GikI2oCy/Xk4yte5ACuT0I+owMuczhSMkvu300e4kF+4VtO%2005lM5Bui5Dru4b385S+ObFMO21JOdvA946AH1GkMKgcQKLxCKu2yZfRW4yDH5/mMvZ18wL1R56LS%20K9OTKKDt53/uu/x35Jst6HRu59Jy6Hoef4D+z4qO6Yxe2ZDOX4R+5ztT6f/lp8UIvel9bupNWdtw%20vuMyZwD1rcAkc+hbReWKXYfPa1yu3umlPjXtMuu/K4SkewS5foGxh4PFE5s0fum3a3y9MeyLqOnp%20d+y+Druxe+vL5NCrzuoE8eoK/Di93tT2nOyYG+Gnzo2hqevQ4u0MA+7hXuvlXuXvrtjnTuwfoe5s%20g9efK+75ru/tHuHz/ux8kzPSzu7CC+/xTu4Hb+ahp+rZ3tjUu++NAz3E0zqiLgYym9lDvjEwa/A0%20tvHyjl3VOTy4Q/Et7fHaPgMX/8oKzwIpb9rmDvIRL/LSoyPH05Utf5VtavIn/zE6L8oF3+9dKfEj%20Pz01v8E338Ec3/FRa/P/Pe/wPNDXM/4PW/Vbv4dR8hNAA0R7toT0Se98+MqQW2+4L/8DVK9wVs9A%208JH1XRn2cv7jxNT0Tv/2Sz/2PlD2OHn29Wk+PRn3cv/1Xc/27uzzPgL3GS+94iXS7xM+aK/3jQP4%20kgMIjt/4hB+wDN/whX9pc/860hRFHKQCS8kX/IrzFhj6XO/uBur3VY64Urr5iTpFjUP6Ym/6p9+z%20HwX7be/2iIb6ucj6Z+T5rz/5gGD7gc/3MiD8jw8qhL/ydwhFrY9Gow/8MpL8qQ39skvrYyb1ya/8%20LTBJKM5LjcYX46X7CG8C4U/7tFf+hn35mC/+Qc390lhJRy37O0L9YoD+/+AL/tKvxuzf9asHAluj%20cNyzPZy0IaX7wlwQ07XrbLm+85v9zn7CEq5nzA1LwaSteOwll8zS8zh1Sa8xRG5UOqVWLWZWS6xC%20h2WzE42MmmNtNzyuDHQ6gbW97///8f248cQJAvodJhkgMNBAwPjU+TE6xkC+SKr9VT5GksUR7pgp%20IhoCdl5+bnI2emaCUrqqwk5eieqQmu4qoc7CYLpo/pQOpQKvsspaItcKFcfgvl1B89raHb8EU13H%20ZbtscwwT+zJrJ5P37eXtWbu/m1YLS5/CJ/6Nw4xpydfkv+yjhu9HwCn9qNDjZ+/eQBsFu5n55+Ih%20xFsE62mRJjHdQox9Nv9yoPgMEEiRIxvWMGnjoLiEAjt6tFNSF0oaKleSvKhQHR49LGECBXQQ5Asc%20MZkkmEK0xk8XBQwsIPEiQYOlNJo6hSrVBVWrMbByeBoVRtejSbwa3aklKROvMMCG1Uq2Kk0/YreW%20KFvXzt25boGEYpL25VqlZrX0nUpXbZ/EXBcz5itX8d9eEQVXlhGH7dnDVxznhWwQEGgOeiPHKX16%20NE92cIPCZm2xredBTCBk1uyHS5XaTHg/8T0EuJW9hmmj7pwEt/DhaIzHIW6kOcHn0JVjlz17CPPr%20WqSnIdwHfCHvV8iPSj7EbWaWXrurP29dvB30ucxPsT9NO6me7WIDuND/UHi5454EQyhQQG5gMaDg%20ETcxBUiDT0B41R8TPkhdJATyYiCCCmpoA4ZGVPiWhA6SGCINI/ZQookRcbiLh0IkuOCJFOLHBIs8%20uAjYhSi2mKM/McYTyoE0gijkEDvu0KNlfjCpg5NP9hFlDlNitY5PAXL5zlAGmGONewUguR9/cdTY%20gwF2vJYmD2uqSIObO8CpZDRgwjNmmTYCMqcOddJnh585ABqoGYNuUOiZZ+HpZShk/pBmnHIC+eek%20MSCqaCx/ZDppomHK+Oiel8LQqZ17vskmIqbGF4V/r3UZK5VtmdlhKCLYsACKpAJzQg4PLKDOLhD4%20ikKwqiJCrA7AChtR/61FOttArrueyl2xzPLa67LHZgvOtdxWO09uFQnRxbT3taqFsr+Ca6gd6xrb%20bLLfIpvRs4i4h2sNuqLrbhzwYhvuDwC3668ZBNdryKuyMhxIw1+FAgEC4ZQQQXnpcgmrmA+/yPGs%20bUlMMQcWp4dxgBrb6vHHDbsXMg0k97sowyiHqrJuKrc88csXG9wlzdDinMjCNhMdoc3ufcHZF+H1%20nHHRPwtFNNImKG0C0zLLCnXUR0sdGNUwFBvzph5r7TDXZ2eUNNhXj81x2QwF3dqWRdPtY9x9NKrA%20AXTC13QSCSBggCQPVO3334EPXjjWVwAuuNoJu82JJXrzzScgjScOef8fmD/erWmIdy4wTGDlvfef%20fS/OOOhfe/6546y3zjnsJgNI+uSmE4p625uvTrjmdsju+++b9a44ua66VrfyN5PNaQoOACmtCt3C%20LEkCBRS8exzV54X98Fdwb5r3rafchwLPR1/CkbQLEf712Svjh/vjiw7D/PDHH7kf53MA/Q7Sr89w%207UvP+zx3v++Bj4D0EyBswMI//+kAgAZUIP44Ij8KInAKB6zfHZK3PLq9LYNJWEDYNhDAbC3gYgrY%20gAO6lcKSrbCFHCzBC9EVQ/LVzA8k5MEJZ0hDFbLQhxyo4TRu6EMiasKI7GsgIHa4gx4ucV9AlCED%20pQjDIAoRiS5QYur/nPYHJ+oAilWkgRZLwEXtaaGMHDgjGq+gRjbmjx9D+2DX0HbBHBSAivKywwEQ%20IJVhJKpbffxjJjQVRy0MkhvCMORJ7nbHDeRxa35IpDgKKURKApKRFowDJi0pxAIhAmaRNNsk/ahI%20KmjSaKUk5CIFacpKtjKKQHmNKPUowiF0MpZjjEEuUelKVvpSlkCYIx0dqb+0rc0ABLKcTJyBG2Y2%20UxjguFcjo3nKZ+IQaNtxwQmUiY4urseZ1MRJTTSBTR8CcprQfNjUXtDNZXYrnSU45y7RYc5xktMP%208uQAPcFZO6+5M1HwFOI++9nG41wTn6r8iDjbIzQPFtOY7IwYLwk0/5h6OuUBMvQB4MR2PCYUQKPc%206KhCLWQXkVaSpOtkGUVhcACLrhQxKOUocIQY0o1+zqOH/MxMc1pSiNlRKRR7KQwu6s8f3HSkNRUm%20DJKa0qUy9QVOpalONznRiAwVpt2aqk8d+geuqnSrPQ1rVGVAzIheVaJncQlGS1CVJ6RyoXZ46xHi%20atI+0NUIdgWqWtfD1qPaIK9qEqJgU+XDwtIpm/i6FS66hVhLldWtVdhrx/A62U9uzFmNJexlI8uB%20xxLKsZ1tq5b+g9ZjNk+zosjWCp9gy4MyobVHeO1HEVQF2u40a4xdrRBlawTcWvVQt2XtcDFbvlv8%20FbZJ8G0PgJtP8/8V17PM5YFz5ZpW5G5WutEFbA2mu4PqWle4rp1haUN42rbmabeEcGGlchCBWw6B%20Xz14L3uNQF/j5hC7vPXsENu7gfuil4b+BXCA5csDAnN3luqlwycNvAME13aEA4avEBysAwjnNlb5%20ym6A+2tfz1nYvRT+QYj/y6vynhe1KqYVhxO8oggIDpINMF6Ek8AAGONxxnusEo5lTOMM+2zB8+kw%20B24c4wLouHVGzvGPq8njIydZsZLU73oxu2Qfj/gHV0Zyk4Mbhy1Hmb+ZtVeLlaujHnM5yyJCc5jF%20DOYuh9cgZ01xkIPaFvD2L6YIza81+XyZMac2I3g2qpnLBeg+axP/oH5maUQGrec9L7YmiVZ0pPta%20LkfH89CUrjRDj9sfiNJZw3VEZnZc7AwYGEBkNbYNDVKt5m+6wNVSJuU2DU3QGsjasxLJdWR3rWog%20e5HU4bx1q3/t5VrH2tjHhnSyZw03ZNvg0ciJAa9NfeoXVNva0iz2iecc6n/a+bqbPoMYnTzuPJd7%202aW+gQmdveMV/1kO7dZ1DXCQ7uee297ufvXockIDfdP73/MOuLzvfddAW5rZ5CZ2wTMtcIPzVWGg%20/vbJRp1wG8TYDZBiasbRsPFddrwKH9d2ei1+hZA/YeSrRrUoVL7yWLd83zK/FMqP4HJzM6HmRrg5%20zhcRczF7Gt4+/ycEz/E9BZ33oOhGz/nPSettigfFvPhddBJKGBwOWr04TM36dKbOaYRrgetsA7YN%20xM4zU5u9ZEQOurivkPaqLp0Jb/9pZcO+X5I7yuRuv3uhaTB3af/g7+R9OtT7HW5Ge8MNU2KeGZAu%20JVI5/kozBzrbj674GUaeBZC/vNenDHYtZB5LlOB8WUPfeVp//uSk17bpMb/6vl+F8IUXkN7bfgXc%20pShbuA8Sr3bPI37Tvva3r8LiweL7JgGfA8d//OTXXvkpLF/yPoy+5nVP/ObjPe99oH7x/8D95Cv/%20+oOf+OwVfPiZ+SEB41L3ENQPys2tP+66Ff4U3P98pMQ/zvh////F6wx/Ta9F/h3cZghg3dke4gFP%20AdpNAvIfA96fGshe+Wlf6k0BAxAL7hxAA0AAqKCX9DxgEngg1U1BCE4aApqBBT4ABmogB+IdCXpe%20HLjgC2pBDKLeAerIBepABm7gs80VAM5gA/bgB1ZcleBgDuggC8JeDdDgu5nBEjLhDwrhSkSgBPrg%20/EUHGizeyqAf/Yna+TmH+GFfEkYdF/qfGehH9YXhy42hF5bhd2DhE1ph/w0hm0whFYpgFzYeIVCW%20Ae6CE7KfH/ih/AFCIOofHoKeHoKfEBBixLnDIjIiLzgiH25hHrrBHi5gI7pbJF6iNWiiFsah6lVi%20Iv5AJzIeJ4r/YmB1G/nZYcnJYQysgChA3COaQYmhYYfRYvd9kX/VYvZV4Q+8IiHEoiSmkS6KXhMR%20Y33lHuWV4BD8ohsE4ybGwS022DFOY4Yo49cxQTOiwTNiASJII399IzhSo9Op4ioCoQ3+wAGMhZYt%20wAFkyxyMHdkJATyenRgW1ZDxYhS61DqKSDt2Cz2qnT3eY2/4EEDCnSC2IROoI5G4AAP4oxAZJN11%204x9EJOANQUWeHg8qJD/WgEO6I0TioxrKG0F6FkaWFYqZY0dInTCxR7aYndIVotyJnEvOZEbCIaut%20m0iuTcoJ0UvSJE/a5Ku1ZE/WZID5JFECpfMto63lpDwGXlHi/91RepZUahtKpqQ9rOQuHQAENFkC%20SABMDqBq9YA6xtMTkCU6mWUFIWSw3R5XCoFXgqUskpkRnGWAVUFdotddqmVMsiX0ueUPwGVZHgFe%20CmQmpKVg0uVeyuUnKuRf2kBgEtRh6ppkTuZgKqYwIs/cXCUrUqAQaCMY5uWRJEAwSMBlLqZSiCZp%20miZmnkVqukBpnqI+vsBn4ghBuab6rOZE6tNtqkBu6qZM8CZspqFTziYu4OJu5oVqxlNw+qYnomZy%20vmZzZqWL0aY16hpzLid04mYizttoRmcqauZmnqMJWl4oZssweAEVwNlpTttnbcUGrCdrDptbvWd8%20QuMkHqJ5Mv+cewqDfTpne6anOPjnf84nf6rncPacMSCiw9Fnf+5ngMIngxqogAYlzS3og9Ynhjqo%20hh7oSdaheCLoH9ZA9XwY+KVAApDA9SRFCpEiXJxoihbAiupLZL2o+Mhoi5LhD5DofN2k3JkGjN5o%20T/6ojQ7RjKJXjapokeIoG+ooGmCYTrrTkCYpiwopihIplVYpkCpphXLQjh5Yj1adlMbolk6lmAZp%20ll6pkRamWZUjiNYgeV6BBTZAxh2hRmoBjn2kdFCP4ORpPUJpxfBpCegpl5aVnNLpCtrpnQZqSPhp%20gmrQog5qZOGpoDaqoyZknELAnOYgooLpEEwqowbknwLqBvT/aaiK6shAaqWu5Rx+WaYe6g52avuk%20qqlaahJ8aqQG2K2qKl8Sw4e6qVJiIzraGLpgYLcwALHmYLYc6zQUK6ECa7BqwbJqQrMGmLS6ALWi%20l7WWALbm4x0aoh1oa/gZoRCFK7euaQmUa7JeowzCabQi67h6VrrCa7y+K6mOX3j+KrQyprBK2H0x%20QFUQ1TT6K8AypIiSWAEMLKkW7KqCG5P2a0MSrMBCrMKyV8IG7Lq+absOo8UubFhGI8JO7MXaIsii%20a8RibKLiZx/oCsdKbMlSbMsWmcmSI77ma8buawUWIalyamx666WmLL9qWc7WaazGxnR261J+a7QK%207c6GKMM2/2xnJi2mpuCmwirPIm3U/iw1+GrNEucaXiFoniwsha3YPuu2jS2pnGEWlqI1eJU9WGSn%20nS0HpS3RItqpMmXZmu3R6usX1ua+tS08vC3cVuXWcq3BMlHi6WevheSpMpjikiTe0i22XWhlXp1d%20Lm7XRsPl1iqrgiIaWOJvyoTmOm20ie7o+kPpemzWDp3ncifqsudaPS7eNe7gtmnhQu6rVacRcCOB%20lovrvq5fxe65zq7esqtn4sLuru1cap3s+q589m7w2m0v2kDu9gDywsXwMm7z3ieVdd3tTgr18hBi%20Lu+5tgT0Ym7mmq/hfgXh2m7q3qwQLKQQeOR5ai/oCtmu8v/qINQv7z4t9HHkijwk5Y5v9qav+qJv%205Xqv6MQvO36kAHcv8xaw6dIA9p6vSnLS/8bA/EZmBLuvUuxv8nJvPBrwMNVu+0avbObt3ZIcBVew%20YXJwB8MuAhOvzeJkgUKwDBMwDosqC29u/7anCpMvD0vwAQ9wDhdxDxftuU2w+D5wEH/w9e5vlrCv%20CW8v1sKvY9YAZPbaihjA5/JvDTdkF4PfPzCAGDdt/roUFtOAFtslF3vx9brxGMfxGcNwDWxlV36l%20hIbxG/sbDJSxF4Owwv0xHf8uL6lxDLCx7M4xwb3AIOsxupqxh5YwFY+wBZsB+CJfRu4i+Q7CcbrD%20Jp9wz9L/ACYzX9iCMhKHgiezrSoDrSsap7udciW3BSvzQiwPsSVrASlLnykXI+DS8i7YMhrH3iRT%20sjB7bX6y7qypXwPj7TIrs706q6llXiA5mzOfrDVjLDYnMMdNbjNDszcz8wybxjeLc+TCXOKCc0Zq%20sziv859aZTFvM0Z56YOZcyQ8MUncsz7lcyvuTBU8aQuLiw6j8um+cCGTbkE7rw9rkJPWsz0jtP2K%20ZRM78UN/8eFuD0O3LkUHMosJ9EBPcBQ/FM3CM0Bz5gm6KtUi4Q5D5Q3vHP0mZTxrm6GiNMp68EtP%20tM25NE5H85rKtBEy7QbrtOXa9E23dNwW6kn7dNUyMQ/E/2UVc3RROzBT36tpjTQnS6/P1vQRKJsx%20f/QTbHUdP69WE3JCK7Ty9sBXk/VBizVaevVYOzVWZ7URoPVbA+9aR/UOzDVEq+5ex/VZA7VcLzVe%20T7XRlh9hk3RJR/SfNOdGx/CbLDZYwNVj52hf3m+iSCc+65Vk63NmW+3eWnFfK3ZgW3ZGq8llOyzn%20VjZUiLZqr7Zp0yExV7Vevy8gTkzHcjWsFa/C0XBT0jRc41Vtc+dV27BnD3du+/ZcAfcj7zZvN/S1%20GTdlI0IDJPd+EndxL7d1NzebinRs3zYuX7KCHEAEhMkzNTVdlzVfHzdqT8FXkqp4AwMeubVsz3Z6%20nzczgv+3e2sDfO90KItyfdP3KN/3eOu3UcN0OSffO3O3LGMlNlSvQ+NQAdIMhNdydfs3xjW4C2eT%20AEY4hf9wZz83rl24uGT4h0Pb1Gn4ZLdaiCNE4Ha4iXN4i0vydid4Wh/zeh9BCB5kd/tDXuv4jpM4%20yPy4RV9BdeK4RMp3S2X3BPM4WAtVkNd4Nt44hpv4ktP4elB5lZfLlR85dDNjlIv4lF/3LWj5lmfE%20mDN2r8I2dxu2R4urXn25LDEND6SAp/CMnKtZnO/AnO/3+UZfneQ4kzt0v9i56OD5stx5nee5h4e5%20S8HVm+9Sof8KnavdoBM6ohv6nrN5nzu6i0E6Cki6oCf/+qfvB6XPLFXPeI8jNuwegAwpAHvDyZ8b%20NLtdCV70QEoPsRO80orrgK1zNa7TOg/wOqALeU2vuhm5+opPiq+78K6LjrIHdA4Ee6yfwawvO7TH%20d0WLS7Gv0bGXb7JLya/vQLSb90CyALgze7N/e7VvgLiTeYV3tba3uoK8upFj+7SXu7qze73nGbU/%20+7p7O7/rurXHuKmfurSbH2LkAIdYzJrAOpZDUuH4df08PBFvAJWPCcTzgMWjeFMlfAwsfLdL/JgG%20eg4s+U9M/MhXvKeIvLpr/Glz/AYofCA1/LhHwsr3e8nLhM0HfMqHPMYLNoG7mIPEPMPT+5lPsM6X%20rw7g//yj+LzSX8rJs/xgF7yCp/oXdtcBZFycpFCM9MCSphHMd3UEaT3YU7zXQ61D3IveZL3obH3Y%20m4swtX3Zjz3X84DZC50Q8MbVrz3ckz3KdyJLxL3fT0rgq/vfbzxApD3Wz3y7wwDh97vhz2LfF/7g%20S/7jS/3Uo/oEfsYG4A9UjVEDYBjnvyYfN2Hoc4sEkP4VgL4/nH7qn70NKEjnL76+r/4Et77o1H40%203L7A5H4k7D7QC2Tso33Rs0TvZ8Lvu5jxCwPyJ7/pjz6mV7Lwp8TsGz0MKD8VML9IXr84ZL/2O7/6%20fK4Up3lsr3klK4Dg/Jr/xEkBEMk4sLhTtD9uYy77+/+D/LO5d1/B+fP8vyUJCHDiSJZiYKZmoahb%20+aoyKsusC9eznt5pPALySLSh8VgrIjkKwwYicxSER+XRZ6JSh1YjNkfacpeibxiM7JLXOvWw+YxO%20126dOYiuru8iLX3f8pNnVMcV0NERUMjG2OjItvj4x+ggUcNgMIkkhkMWKWjE2UYmmqUpifoZZSmD%20eXpUOjhGCvs6FHvmibrLoapSeZmpSxs6vISLZ7xZu+TLO0rJquKqzHxbXZzdvIbch512mOj8TF6e%20ZN44jl6i3s3hTsRtnUZ8/b0+i3+v4w5/Iq+N3rF5evRtM3hwYEBCAO0lXLYwH0KJE3moe0eQYkQZ%20/v7/1ePR8eIIRYgUVTyJT+Q6lStJORjioGMvbi95xLQFsqaOm/tQjvRpkSbMkEJtymynswbPh0BN%20sER3cUPSKERdDsWZ8yrTpvG4qog69VfVY2FTLBVIVitaOuFMen0LCS47cwoebNhgoOy5JQ8eDOmL%20VQdgHoO3EvZ7OHDTpzLq3s1rOLHktUcK17BcEAlmFZs1vmWswjFevTvIdDZxei9fxIJZUzaSmkTs%20r3K7khMN+fVf1zJmp7jom0Nwp2uCD7fNtiTo2hWX83Je4sDd6Qh064iwoYEOBBuq95SBXXsN7t4j%201wi/vbtioNBJSJ+uPjMS9OPjW7+ePX35++Dz198v/59c7Y3wHnX89SeeDOR9pwJ9Ctp3YIP+PQig%20Z14NKEKBd1Wo2nwTqrCgeed9mEKIIiKoH4NJtIUhc1C5OFM5U2xwAAcLFEAacUswcFcBCDgQCAcM%20JBDBewmsN02PPwY5ZJF3HaliCTxu4COQIzRpJJIotThjjTfmOBcZU1bJJJFZnpgklUteaeaTWkqp%20pJUiYOlmlM2Z06WNOAZoxJhrztnmBlBGmIKfcgoZ6KCEmmBomU4KaudEXN7l5Z4MiRmno2cuCqea%20h9IJaaRXZsrmo4peCgmLMK76G4wt3rhBBCIkIIyF6cGH63S88WkEd7nmuiuqSPj6K3zB2rqYObDK%20yv8BrbwOQWyxdx0LDRnRSktttcNKa2xcLr46BbPOCrstt9O+acK1xWbbYbnmskvbt8qGO2utQa2h%207q/wtoqvueeiW0K+wALslKqsHuwRcy06IpIT3PKBrA4OSwvxvWRMXGzF2gq4qkoY/6pxaWt8nGvI%20Ii9BMq4mx6twx4ykDN/KOo5srswzX1xzkJxK6jIbME9nM3Io5+wtzQ/r/CwhBiPM6sKMOP00I3at%20y0DUUmNbddGmYW11y642MrW+WYtaQtjAjk32CGbj+gDaaG7ZMxtrG+t20n9xrfXWVOcNF9R8a4Z3%202moHLrgIc+taN7nNLM301/IywgAEDxR4QAMQJG7/Nw8JIDCxARFgnrnmnE/nOeiKI7F5558z7Dgb%20kU8+XeWXp+NI6qSv3jUbtj+Ge+5k7I5X739f2MjrlFtuusW6j8578hv/znzwzj+/BPCl0/6465If%20P7vv0Ks+/clrWC88wSaQHz7LyYnTeNOtW2suh6cT/z7H2cPPrfwR++S3+fr0/zYQxc97n4lbbQC4%20s4ANcHhcQWACDcISkrCvffXrm8/8hRcGJquCBbwfEn4GH3s98H8GtJ/XcOYvEYYObhyk3wmHlkIN%20sqeEFnwa4yhowgOuQQIYvIs0RpgSGnbwhUfgYQ9/uMKTODCJd/KgEYyIQSTOr4FCdKEOyQBFf0lx%20/38sdOIQ1+cWHF6RiEY4wAKQxqgF1KhwL2ohFb3IAzOiUUpq9F8Q3bhBMg5BjjpgQB3ZaI4lTjGP%20Y0QCHy/xxwA2EY5vTJVyxKhHK2aEI3ZsCR5nyMga9KOSbcwkJiPJj0kqL4eFJGUNFeIQIFrSk/xL%20xw0h2chSlhECpzqfBArAyUBWMZam3CMtdZCAW+ayHILkohIvqYID/LIGwcQlIIm5S0L2Mo7LlEEz%20h0mOYo7ylGDUJixvNk0dZHGBiuQZMrsoyyGMM3/YfIY328XNcNZgndLSHzy/mE5JxvOJPYQQE83J%20SnR64pXfbGVAUwBC0snQoAddZD55kNDHLFSg8v/85EMlhkEVDtKiF+XoPo0Q0Qy28znR9Cg4HllQ%20feLTQ9xi1kh38U7xfVSlRsBOSwlI05xKc6ZDsKm0XPrMbJaUoR0d0U0nesxzJtWRE0zpTleKhMg1%20YGKySx+/QMlLnj71CFKlKvKwh9WtZhWqXIXAVGP3VZyOlaxrbesQuorW7iHVoUWl6Emb6lSiVtSk%20OhWrX/naV73u1a6BFSxb3QrYvyZ2sYwlrNJQmlfDFtaxipUsYi17WcpWdql11SxmN0tXrYIWoGH9%20bBsIGlkIKpWzg/Wsa1nb2tCK1rSvhe1hR4uQmF61tLWV7WS/gtrU3pG3vc3tUIur2tWStrO+zSz/%20ckmoXOM2tLm4lS5xgQtZ4S53trS17W27S93qQne61mVueMF73ucO97rb5a53H4tX7SaXvcwcneFq%20+c/ymle/7hWdE+6rVvGOd7/zrZ19hYPfjaK3vb9l8Pdi8IAEGzO96l1lN+VL4Qwb9S6zKsAC5upg%2052qYv2vwaQwS4GEQk/i7Fe5kI0zc4Q+/NBXHfa+ASwDjZqV4xpLQ7W5j+5vgYlio5E3BAnA1AgVI%20hceP8DE4+xtiIxwZPkleclDdWeMRF5gNU55OlcGkPiBHecFbXkOXOSwCJYP5x1Aec4slGMYhr1fM%20KTgAAgIhBJGWc8UN5vONCXRnbwRBo9tkcYt1/1lkE9gZz2EgNPX67OfG2riMgcbIoJnMuuiW+a5x%20lrOL6WyKZHAAAmje86YNreUBsyHPIyD1UTR9ahG7OZSidjWmwUrfWP9Z0Ly29ZVJCus5Ly67nkZ0%20rlfwgJq8YHNe/jVMszzrVJegAMn2BrNLrcpPg1rYqLZBtTFy7VcnWtVt1rUXvr1sYt06wLuGpg2J%20XWwiH7sEDeCWo+8JaXOTmdxkqLe07i3Tbkd74JEegr+LBfAwl1vfh3Z3Iw7+q4SzWeAFf7OQ493k%20YJNAydJa85MpzvBJ77sEHC+Wx8M0b27nW+VIKPmvTi60hfN75RZmg8tzBfOfjJvlf4azk2H5c/+d%20OwJWuQJqto2dcm2D3AREx5XR8xtykTdc3o1oOnyeruCpU33bNefyjJyu4qhLu+ucDroYzR6jRzAg%20Ag4rQAMkXGiak13uSC8e23v0dnaPnOeSHruU7k6lvId95nR3OIGnAXi3w/3Rsia42AsGb4w/e+dz%20b3zFpY75zDv+8ZwnvOU93+6ty5zve698zy8ueb1rnZLOprHGlV54Wpsa9H3fPOkdIe6kw/7zt29E%207g9Pe4tHPvUZT3Q/sQ314K9+8sc+/u+5bvraXx4Gx1/34JXv97qHovqt7zG0px/k4RMf16B2vvXP%20j/7Z9576/Uz/0bW/9Oi7gPvql3/p4Z9v83f/v/iUxz98Oz1+/Hd4+ld/u8d79qd5QUB/7yd6o2eA%200tcHC5h865d9hld+Eph1CQh+G8gOqBeADIhlpICBE2Z7FMiB2BcGIxh3B4iAFdiAIKGCjBd6L8iC%20/qdJMYhvNWiDEEgEHviBGZhqm7R/mdZ/FrhwQliAO8iDJth5SAiCwFaENCheTjiBLeiCIchUAPiD%2012eFJfiAS9iFnYeCJziGYhiGZviF92eE8XeGTIiGSrgi4reFT8h8ureGbAiHGviGdxh7WAh8bgiI%20gZiGeliGhWiIbXgCPjiHOTiDa/cedmZVKPeHiDiIV+iIlIIAkRhzeJiHVwiFjnCJNJKJqkeI/4LY%20iV5IAqEIiaToiZ8IfT63iEQ4iSNgdT0iY0NIftB3imRYArVIJbeYhHyog1IIhiTgizuGi6zYiq5n%20h3pSMsBIh8zYjH44UHIYiyvYbgzwdbkyR9hYjJWIisLYJ9uIK90og9+4i3tIjG9FjvBhjoyIjuKo%20huvIA9ooLe8YcH1IjQ4Ii9fIheAoQNKSINHofa+Xjoc4AgJzFwNZhQDJiw6JkCKgkCQChOEoj8sn%20jWwwkQxZkQ8JkYLYj/6YjP9YBpVGApvjTMFIjxhZkHboI2iEku7XkB9JiQc5bSY5AjE5kjI5kxdZ%20iiPwkueDAClJkAI4iz6JXfElkh25h6XwfP8OSJNRaZO50AkquY9QiZTh6JQ8SYIWeZWFt5U7KZZj%20mW0huZQ9uZI1oHgmoABDyZXeGI9fqYNrSXJuSZZomZZe6Yp7IHgbZ5dWuZdYmZceyQF06ZdEiZeB%20yYmD2YHWeJYfV3gb+ZbnGJeKqYOSeZdMqY5y2W6YCZh1eJSMGZEc4JlFKYuhyZkWoYiPmXZHqQDt%20OB34qHCLKZqmmJWhAZt3IZsTp4+WOYO+aQSveY+TCY+VCZpYKZzFspuQOYy1SYlmyZqUOXVS8Iwk%20eZuE6ZxSKQLUqTLQmJjHKZipOY/cGTPeqZm2eZ2jmZ0jQJ5AY55duZniKXxKGZ2zqY8S4DD/B1A+%20ppmL4Qmc8ygC+Ekp+/mdGamL6YmeAZqfBHqeNTmV2rmeJCCgNMKg8KmeEZqd0Fmf9qmDMiGdPwmh%208gmilvafLNmSqFmisgeevbmizZmimoShIjqiGbqaj4l2jMEJBgAFxJmPLHqiB5qjO5qZFnqhL6qV%20KqCj1hmjMqqXLSpKScqjHOqiTqqajrmhN/oInBATWwSXJmqU/kmlqUQCWxqlvOmjX8qJWroBXPqh%20y2igtGmkVVkCZDqkXeql/VkFNXqWWGo0/oKYDRqiTIqdgjoCIUUlZcqcU/qmK2eof0qkDoqgkEqo%20ItCoiCqJKBqmcUifG3qpo3c4v2Kpmwin/5laip+aK6EqdNMYp2ZoqkhWp23qpmhKc61KZa9anAC6%20qj1opfXJpxdETvypjE26qCwYUfbUo7+ZqwmarJTqL8YqpcZJqrF6mjDETrZ6rMg6rIawq9HZq2yg%20IbnirM+Kq8saqNGaTNVqreI6rtn6jd+KK+FqptjKruv6o2TgrvABr4kKrfM6n1rIqaJagwngobc6%20o0tqrh4psAbLr3carG+YsJOqrOT6oBP7sBIbqZJKrhr6rwDbbhwpq4q6sNKKp0jgsdM6qgcbnyhr%20AiU7svJaryf7skvAsg1bpBZLo9vKmt1aDk8JszELsh+LCjx7pkC7r0SbpaiaMKqqshELCv+fGbIi%20S7MjoadLqbPcYC5I25qY+rSE6S9Yi3ZZC6Zb+wNXm67x6rImC5Zk67Q++7No+39f2z5VK4Lc4rXf%20l7JimwVqC6xKqrBsi45dW7b6WrRu226Au7ZGS6+IOwNTK5Jyewx6W6B+O7gt+7eQC6gTi7l9q7g3%20SLeB26lhK7kNZ7h7i7Vgy4Yau7FJC6SW+6jlurQY+7oK2LmHS7hnS7lqOLqRu7lQy7cWm7uXe7Gu%20G7qLi7M2apAkmooGIHFmm7i7O6i+WyjK27uxK7zO25TRu7yCy7BRC7t4KwtCIr11e7w3u6mp67hB%20m68cO7m3u73r5k/Aq7nWW7PeGwrpm6r/Bxq8+Ru/fWC/qgu6w+t3qGu+46sCArtGtMu+7eu56tsI%20Biy+UQix3XuSNPLASku/1TsrFLzA94u/EdwLjOuP5wsLrGunvDu9F4y5v9u6mbu/3KudKlzCworC%20+uvBETi7pLvBHHy6IHyNIrx9FFPBWgvAWvkwQdzBNlvD71DEOWy6PVu7uLvECOzCGJzASemvA1yE%205iKkOCzFU0zDvsstW6y7T9y8VUzE0iLG8JvEX0y9+avFRvy/ZEy85buxPnwLCPeeMfy8SMzHbfxv%20eQyre9zGLWydf3zCQyzD8mubhgzHTmzGkEfH/2rHIEHIpTvJIzqw11rGj3y3iNy0g7zG/5XMxDgq%20yl18yIqciMW7pwQcyn0Myq7syZ2MyhI8yyzcyq8My7XMxrg8w7scy1KrylTLynI6xpwsy3LMu0Lb%20tsicyMzcEFwMzdGsxrlMldK8wrYcuwJcx7BGgNasx4L8y2fYzcXsxb6sy6I5ztPMy718y3ibztdc%20yqbMRtosydyMg5qswKNsz+2nz8PMzrn6zt88v/+8zvIb0IF8zM6MhvTMqZfMfj3UyENrzG540ARr%20whE9hfesrgXbzuEMkRWNzxxNzROdypHc0PsM0f0MwSNNsyC90Ret0gOo0cybz/Js0yPk0jQt0gWt%200Lpq0lfKzaKE0APt0djszkJt0c3c0/9MG8tUqM4EzdMk/dFIHdIwfdMNydBAnWhSkL0xLcTnPKlc%20TcXlHM/kPHhibdRFndZgnatobc5LzdSznNW8CmtO0NVX/dRQrdaiaddjfcpsHdU029drDde0XNgH%20OdhvLdV+zUlzza1BLWqB/deHrdgtXc16DdiSjdGsx2uazcRNvMyWHdmYTdmV/Y+OnbPcHCRhidfw%20XNZ5bdCrDaNefcSePXsbINuc7c1DTdSlPam4PdrfK9BxndkejdrGm2j3Ki2bvb6TTbPKXSzMvcnO%20PXjQDaq0HceLnZ7WfarY7cgufNyrnGgT2d2tPdzErd2iSd6uat68jd5knavrXavtndT/Sg3fKivf%20zUbfVW3VWM3DsejQqZib173fL93fsN3T9pjSBa7TO73Xk6rgGCTdNW3W/hPhMOzejD3hVgy3jRPg%20G0er+r3b9Q3Oxa3IooHhJN7bvs3S14fiJJzhhM3itg1EL37DFf7ZH96YP03XWTzbDK69FI7g2s3a%20I87f9k3dw1TkOA7kQX7g17zkQ37fNO7fwdy4x5vJBl7iJj7jM5zlDY7kSe7dENHiluzPav3lTh7m%20Gx5+PP7YK13mOX7mXN7lD97RdD7lpJ3er+3acT7moX3a/72IOk6yYt7knyvReU4CM6vi763odY7n%20jH7kCb3nfg6skq7llP7oUh3ewhyF/764IWy+5oeuw2QA6u/b51TO5Eae6UaWm/0L2rZb6aoOz6cO%2064S+4uAt6HOI62MK441u2JAu7NodEzcu5YZO6v7LicW+3H8u68jek8we3c7e3I2961vY64MDxNQ+%203aKeAq3qqOet4dw+ouDu7Zp+7mUTxawO5qNeltf+g9luw79iRunu6PYuu/QOyJOe65vu74UsLfVO%207g6O5wBfLAKf7LH+7NZu5SGM5ayQAEIqAfvO7/eO7ykM8RJP8a1u8QOvlRk/AhMP7cc+8qnu5SAf%20oBvf7uiO751+5T4+Ag2w2ovH8cE+63ruxUIg80FA8yvf7yUv7im86DN/8TL+70o+9P88X/SmzfBu%20ntpF6BcJ0AIodiRHhulqvuXDfvTPFPVTXwBVT5Emb+eWvuo92fU6BvZXj+iADvQxnr9nT/U2EvZB%20z/QtD+8fKO8ccHdrdC1Lz+d0H6F7L5Hsze5Yn/VbH4yCT5qEX/Yk7/cWq/h97/HuXuVOj9x2OCVA%20QDmPT/aOH4yZTyCxw/m0DvhJDPoZIvqTf/htD+yjUmqbr/osX4Au7/CfXgAuxQD1dgDLufYLP/p7%20fSO4r/u8z8BC7vmF3/tHEPxXMvy/P/Y4r6TLPyfNH/s/P893H4B5D0zOX/Dcn5Pef/PPL/4l0POG%20b/3Vb/PNAv6I/+4N38PHy6ZKtv7/rF/xDhr/yuz76K+d9z//IMCJI1mSgZmqK9uOqBvLMjyn0qps%209sv7f+0njAWHxlSRFwh0OssjNCr1JafDKm+TSCUKO6pVig2DycexmQbVcr3AtBENd8nnq7odud6a%20ul9lXlmgDd5gj6HaEVufmyBiS+FjpOGkyVLT06NmWmVgp8mGgUnDRunbJstnnuocK5yrSOho6R8h%20auotbq7eruWaaAmpqWOvCCxncckx2bFsMO1psrH0CfX0FZPTsvXgtlXzw4OCiIMXNHGx9ze3utha%20+DhHOW3tTHvUPT77viI8ufkwQNbyQSEYh5+RDf7kAayXiJrBgwPjZMvE7aIyhEN2/yh4sEAYvWjS%20Il7RmKwZh44f6QW0NdFkOpg+OHoEeU4gxIskRZ5ck7ImS4dEZPbaiY5QRaMYzxD9AYGlgQVC6TTN%20pdRlTilP6UWdCqnqrav2wNrYSqsrz5hkNYl9CMVsKbRHd7V12xMbprpLcY5cw+ABSxwlXxLuW1jI%20hr+BJWY9rLbxRsX0BAvR+3WtJMwsEgOezNiw46IU8+7da1lXQqjiYqUVrZnSaxVBDazm4BU1aMh3%20df+YXfv2ndjdhK9aozoecBWngxO34+qSttJLlys3XqoAjo4ObLemq7N5K+sbsP/cnpwX78e5d2+k%20RV4797lWv4f2rsh99gfmu88H//9qdHTS0ZdeFqU8wAAJDRxwni/12Udgf6kphOAICjKYkYMRrqce%20YgZSKIKF/IU14IauSXhggguKiAp11WVIR1ICkshehxCkQMqKm7SIXokPtmfjLDmyNSOHRc60AZDP%20CJmZf8i8GEMpSSZ4YTVP6ugfdBbJ2KOGiG2XAgNUHgJhl0b66KUKYS6JyI4NksniGl+aoKZ8IzZp%20RptVJiRnCXTyRSOgJgIR45ZvXnkEZTesCdudzNyZqAmQ2mXmmZTaaYSkJGRKlZVDdsomFJuKICpu%20gQpqKg2EForqpYZ6+imjrr7KZZmnWtoqq7jeeiiswzUaxnOqrmorsT8wEMGCGxz/gMCHdcL56zq9%20rnBssss2++euvNL6LBTUlmLtYLIyKW6sR3irLLPhbsvtuqkIO2ytlf6wQEPXLVAZtNGS6+sR9AZV%20wL2L8ruvJ436yxLA+Epb8MLORXEwPQkLzHDD4eEVILzyamwDA/XSEw+2xW6sq8gzdBwULSBj1e6s%20uWorxMkob6DyWBVbTHBx5nqc8sQ52+xkZe9m/HK2LSAgcykN9Oxwvu78zMHRSCvtLNFFg/p01DJP%20HfLIJHddNQ9Zo7z1yi6DHW+qpA2Nttc2FIAAzRwkgEABS9+MM9N4k/B23HPXTXXLZo/LMgt890G3%203f81rc/Thpfgd+JA66140Gqv/82u4JtpDvjghJeb+Qq3iXnN5JR7PjBim3PNdtutY96b6mVbffXk%20Wea56u2kD1FAA3yQoADinNNeOp538u77CMD/vbrrr5fsPA/Hm6B85MUvXpDxvU8fPPPQfx04UpZf%20Dv73RiO9Adk1E2/9+sBCIXZQ6U/6vPfNk28D/CzJP9TT7J9O8RDyR4/9cap97rOZ7cZXvwXGQAE7%20K0Xc+GdAff3PZ0NwINIiWMAKWhB0qPsBBmWmwctMcAq548AJjxFClI2wVLP73AuVITQFAtCDKpgH%20wgImPBjGsIM9NAEOI6bD7p2NdUVkYAyC6J4hyo5+R3zi/WygRHsprIROq90Maf+YNw7ewADfisC1%20mli+zv3wbojyorLAqC4b1rCMpjvjF8OoPi6a0Y2Sg2Ma5Ti/MQ6PjS/IohbfaMc7DtJ/fqxjIQ/Y%20P0XSUZBOjCISyZhICjbSkEoAZCAt+cjNnCMBCzIAn8RoRChKko+y6eQnQznHQyLSlG080jA8GQpV%207nGUkCRlH3uDyllWsZKadOUJMJlJRrJSBAlQyBakQg9abrCYhNwkD3lwzAckkyXMJKEvHbVISv5g%20mtVcZvW0uU0T3smbHFAmLa7pQmhG05bKEeYwyfk0ByBABDqASjiJ6UxxVpKe9pxNPrk5SXkSz58p%20AegOPzjQK/azngfFZ0JfyU7/iaYNY/FspTtXcAB7AqSexwwoQa2IvadtNCUdldvoUHi9kYqUKUco%206Qo9mtIUEmmiPvQBTE/60Yje1KZbpAI8L8rSSs6MAWh0BgdKSsRb4rKd9mtBUY8KjKSClKHZFCgw%20SxDVs4xAqaJ8aikzqtAsKMCoXBWBV1e5UKu6MYFCxShYNYowCiGAibWMq1MjmUuczlUEda0q48bJ%20Vp+SIFnuoatdJXhVrIqVojMw7HUQC9ihLnaw9gjqW9c4SLhsYDsKIEULmdNSl45Wsz7grGdBO1nS%20lraXzkRtSlTL05/uU5+EHQFsPzuz1X6msoEdlPgya9uslgACqYzFTb6q170S/9eRpz2ubZKr1ts6%20t7E95YFxeRndlky3udXFq2NnkF1QIpe7d11uXptqCcwKd7ZwBe91rUtb6j7Tu/WV73vRG179xpe/%20/VXvWPGLQva2V7kA3i9TE8xcAX/Xv/O1Lz99S9naMha+/1Xwgi1sDAIX+LwHvnBYGfxLEY9Yw/nF%20cIBJPFwIr9jEDf7wgwXs1g6HlI0XmulKWUvhGsvgxrw1LX0j3EMfu/fFMDZyiEM3AxwL1rIy5jCN%20sWljdY7AAUxurWvXOmEoUZkcV5bwlllc4dB1WR5f3jGPg9xiMifxzFoO85ODG+XeDvl8Qflxlt9M%20Z5va+c5Fvq+Kx3zgPrMEz/+GPvRSk3xKQptXsWh2solnPGcd15nRblbzmo8M6NBZ+tJiFjSKEQyK%20TiPawJouMX877elAg1rR7pLzpEvdXaiS+s+odjCSM8xpS8vaw6cWMp9rnWhd43rTgxa2qV0dahC/%20E9axHnZ6U6DqXjv60XCG77RtDWxMpxmY2YZ2il1862V/O9nE/nWmX23RZ1O7mT0us5XbLWVrU5rP%208F61uMet7HOD4t7yXie3IZ1qf2s73cuOMRGgzG49VZDI4Bb1vqMd8RE43NwSnzjEL06Cis8639tm%20tcBls+R/ixbLRZb0wh/ObH6zvOXhRrfBXf7yg5+Y5rmW+cpnbnNjw7zbFdX/UsotrnOM53zoGjf6%200TOe9KIzvek1JzrCi81zqEf9yCgPuq+p/vSlO/3mSP96172u9LGTveo9D/nOp47zsOu72evGerUD%20jnati53tHwf5b8G850/73OMx5/rWAV93u/99vc6Ge8npXW++z33tgQe72dN+d6m3XfCDfzzhC1/2%20yDt+wIdHPI8Uv3e8513PQGb8tf3ed8pP/uyNt3zlYd9616ceEgoPOk1zfHrSL573vVf96mn/e+CX%203vR5Rn3tJT97rV8d9Ik3/vF9P3riJ1/5raZ77DePec53Xu2yX373vQ/5DX/e+QwX/e5Zr/nMB1/4%2006f+8N3/fvmnn/4kf77c/4vf3Oab3016n7/1Xd/3CeAAtl8Avt74bZ8CLqD4ad/lPSAEZl8wlV//%20qVST6Z/01d8BYmAG3p+LmJzKsR8CJmADiuAImiAH4hr/VeCY/J8GYp8Ech8JlqAMziD4FaABhl8M%20MuAO8uAN4mAK2h4F9l/uXWD82V/BEaANrh8KHiEM/qAD0qAPMmENNqETdt4KsiAHPAA3TMBFeKE1%20gGEYcgMXjmEXniEaUkMZUoMYsmEauqE1rKE0tOEcvmEdxiGAAJ0Wnt8e9qHu+SEgvmAgDmIUEqIh%20XiES3F7KndAhsiAjNiIRQqIkAuEkViKGVM7b+eEjWiLWbSInLuInhmIOiv8iKX4gcGViH3piKc6Z%20Kq4ijbWiKxYYLMaicAXLEJrfLNLiW+WiLl4UL/biMP0iMAaSLaLiHgrjMNIQMibj+CwjM66NMz5j%20xhSjHmqiNA5jNF4j7mhjL2YjN8oINXqj+n1jBYojOZrGObqiOaZjTV3WLTrfOrKjEcrjwsUjPaLf%20PbJiHtojJebjs/GjP8JfQOrjQE5iOB4iQBbkEyrkPzIkJCakQ2pfFjpiRCJkRRoiRF5kBGpklB0k%20RnJkIGYkSFLhSHZkSabiPlrkSWqhSK5k9blkrLUkTApiIr4j6MnkTHpgTrbjTrIbTvZkx8GITSLe%20TwJl3BllTCJlJyol7qX/5EcyZT1CZVRKZUNSZVJeTDWipFVOWlFuZQt6pSyCpUliZVeOolg241l2%20WFl65VpupUcSYltaZVxS5VxKZV1C5VsO4l0y5V4qZV8i5V8aZV6GZFqGZWHW4mEiZmLuolPC5WIy%205mP6YmRK5mQGY2PqZWVaZmYS42ZyZmcq42US5mcqUGACZWn25Gnu5GACYmrmZGvO5GvCZGy65Gpa%2042ii5W1ezmyu5G6eZG1qpSgmgDCQV6QsyAGQikHGIgNAwAM0wghIgHEipyT2Zjc1gBccpwpAp7JI%20ZyNSpw1IwPKUAN1sZ3ZGpyX+5jGSIjrRAhN5kY1IxVSJonf+QNQcAAQ0/4t7nhNSyad6RklS7acI%205Cd8luJ8tgADZM301Et8BiiS6OeCqiQmZmV6hqIDjUPWeFUElMIW3JND8ScpYlABSIkIZCgbcCiB%20Buc5bEV8kuiGlkKHfmKBqoBwFloJHJVnjACLPtSLQugpSihLiqJ+UNxNhElA0IIeTeeHekEBxA2R%20/oGRkmKMugBIGBN7ikCTCmlieKgkPgACQFYJWNm9KIBhLc+VlteR2maERqkFriItRABu3QQtiOh5%20kqI50JJZYKmcVqKaFg6cJo0I3Gl55SmScmJIaEqSWNlNAOp2CSprhmajriKiks2UlpcccuKerkDU%20PCiI9KlCQKkoFup2/f/NpG5XperpJ4LqoinVqNJCqWImWfJoKCaAFx0A8hwVlqbVnH5ikwqqrZYX%20rppqKAIEcpxDr27Xrw6qJaKqtJWCmzJokX4Lsvaoml4qrdFCh4KqsuYqJ0oAqyrpi2KrdGkrJ2ZN%20wBQquDZatE5itv7Ok5aXk4arq6YprH6irN7ouabUhHJiZ2RpsizPvXqqKKKRKDQpMPxrKFKrVsHr%20c5ZCohhsdzoqmpYiQJSUw8JoKBYqOjlUxVpqKY7nAeyrxnIqvlIkoSqsCHhB+mysY77qU67ieqIV%20px5ruqrrOdzTeMDssyoLwLoiOvGBYd2qllbiuo4ogP5nzspsxALVUML/HcIaaKGuqp8GrdCK7Kbm%20LAHNbMDGRYVw6tU+bMmiqw5oKtSiD9a6ozH+aCzSwtQoapzurCXuK5b+Ddv6p9SKIqIuAgfMbYMe%207Kkq7AEs6NpyKqMm7SUt7VJ+YgRIDAc0KR+U6XadqddyolnwgdpaKadC7rx+YggNkeO2q8V+rVAg%20wIJCgEN1bilgLtrKa8smK7NW7YvmKJHuKMeGYrIIBi34Duy66ImWor8oLo5q6OLqbt1CYrbeLUsk%20Se5ugOyurOoy79uijOx6EQ4M6O5q7nXmbSm05wZMb9HOrq5mF/rokfQ6aPVOIlzwScwEhcqML/WW%207c9Nqyh26bcgAPKQ/4DHcmfkhiKyjIf2mMD9quOnfux9Gs114u/qNiLSjICNRoz/FrC4Ku3Zkmxu%20Dk3TDmQFB+QF+yN6pu4Ew0sG5+MH32MI0+MGS3AHD8sIy2MKs+MKp2MJl+MJT2MMe/AMo3ANbyPL%20Ou8NS0cLn2MPk+MPf+MLR+IOg2MRG/ER83ASK3EOx+sSY0QQc2MUa+MUX+MQ4+ITo2MWQ/EWc3EX%20Y4kiTuUXg+AYB2UZL+QZv2RNRjAMpzH0ufFRwrEOyjEA3kEY+yQdd2Ae498eF2Ifn9wdV+Ufz/Eg%20m3EhK+Eh06ThsTERJ7IVOjIfQjIUSnIIkh8jYzElb2Qmm+ImI3Inu/9b+FwyPH7yJJMywJly9KEy%20IBtuU6pyELpyHMOyIcvyKSccK4MiLStyLkfyLsdyL/Px+2buL8/bMBNzMQPzMfsfBPsoC9JhMq+A%20Mz9zCkSzNJcANVfzCFyzLYsyNnezN3/zRU4kOI8zOZczCQeyOaezOq+znqIzO78zPMczEbqzPNez%20Pd+zWtIzPu8zP/czNOqzPwe0QA/0QAA0QR80Qif0Khi0Qp9wky5vhz30RUp0Q0ujOFf0bSKNAdCv%20CigTRE8BjVqDR0tBSNtASaNCSNOL786BStvVSGP0M140TH+m8RqTMLTq0Xy0FQztLuT0TptstY7s%20TweEOYTnHBS1/yr/70zHNEMvNVWiaqaawLIMAk/nwlQPNb5WtSGAKlIHQlcXlk47NYE2tVgzpbKa%20Q9fagVZr0VovmlCD9E209CDIdVlLMVnXtVEqK4nu1ia0tQL59aih6yMANl6b5l0X9k4q6902a0gf%20y74GaXEZpwPsVHF2Kqp+1nUyUXYdwGTvAEuI6Xg0q7t+QUljtrJotmRT9g0sCBdetnWeNicFhGOz%20KpXNtoHwyWcvSAGItruOdgnsbyjokG0rBC0Bd1T4dvKM59s0S6E5gBftNmLD5WFHN0wqK8Fi6RdQ%20L7dmLwlshYU2GokqzV7/gTJx4dGItndDzTDQQz3d9MZRrQiUt3qj/zcEqbdXhDcHjPcIyPd571p2%20O8N2b0BixTeAVyl2t7eBvHfO/gEGcSGJuql2GzhHdeqD9/Y/kO3R+C49jPf2UjdrTreHn2S2Gqw5%20UO51FNbpigBg9MHtYu85xIxnAa/RUsiKb1eW3q2cGCyMP5TPpvgWTsUxAS9cWGmd8rhbn6yMu8cK%20lHh5hSc9IAiOY7eUIzkbBPkOMHmo7g3wWrmFcwCT31MBfAg9HAADWLmmhjg8gjiag+SIw3eGHsCw%20tsRZjINq+9WLF+peC2nIhgKdk/adR62NT3meI9eeG0CfqwCCBu85DHp0QTSeK0uc3zekd3mgKzrZ%20dnmhBvgIAEY9vf95pC9sQHC6hWt6eYk2PZi4YK95J6q5ql9kmy84F6DqUS2pCvyshRer1nLArKvM%20uSqVweK6M+w6C9h6pQP7ma+rlTNIsiv4u+osphMrUFPpTRRrwg4DsDt7pWd7q6f5LW97XofrWWm7%203DTAkFcZSySWwZ6Pl9GDDjlsuiewmbG7f0+5ui8rdwlnubMAvqOqu8N3Ve87fAe2n8P6s6e6t/8j%20qx+8QiqrlZt6ctHNOCh2Q9RvtpurySoRqje7xtP7xU/8kVu4X0M1rWs1xGt7vxP8qSP6yIssxVf6%20yW+8whNlwsd8QCqrWYBMoTLAgmT8nBwVrgLElANEy1upzxe8r8P/t9BPS9GnANBbeNK7QM7vPKX3%20idSbfMxOeaUblpzq/CKAqtbb+xcQOy0cPcHTPO7NvNnfo7ImC9k8bdnbRjwk+pT4uNsLr9yUIV8n%20+rluTc7XvVIbE97HvcKCBIX4fYcmQKtWujBg/SzAfMHzPXxfKAlsweJ3ueSPAM/nN6dea8CnvU+i%20veezI6qqaLUP/L0EeC1cenQ9KDp9SaEmu404EOVCfsF2koQf1RbYqLT7p+zHAu13dDpZOOyb1NBb%20vIBzAOrv2unzu+1zd8F/QZMqtVEpTZUmv+Va6+IawNTkvDn0+XiIeeeHPleCvvh/o/GOAwNst/wU%20KmQtgGFBvkx1/1YKdAYXrucXcPjxEzpKyb+NgwDCNdv2cCi3lKzBbmn0lktaiknppDz6lKfVCyWb%201Xo2FurwWjBLDeSy+dxEUS8RycQbYpUo4cswZTlZV9VsQ/6WUkIRgtYFM7zSvH7P7/v/gIGCg4SF%20hoeIiYqLjI2OeQEBHR2Rj5aXmJmam5ydnp+goaI9ay0RCkhrHApMDQkqBRsiNgpnBjt5EbEiBQ8S%20DgwpDi5suFi1TLdJJQwkBRFIELEHIjPCxMq0tsa5uxy9v8EowyXZUqqsVq8L3nnprrCydczO0MtK%20qigJWwYSKe/r2qXYV86fGzCrGsQq0ADVvTf5RkmcSLGixYsYQf9FmlQpo8ePIEOKHEmypMlOeE6G%20TKmypcuXMGPKrLiRUoCZOHPq3Mmzp89ALH+iRCi0qNGjSJMeqtlRqdOnUKNK9Rl0aqKqVrNq3cqV%20E9ObXcOKHUu2bCqiZv9gTcu2rdukX9/KnUu3rseIdh/CyMu3r9+Lcf8KHky4sOHDiBMrNhR4sePH%20kCNLnky5ssjGljNr3sy5s+fPgzGDHk26tOnTqFODFK26tevXsGPLPs16tu3buHPr3j22Nu/fwIML%20H04csCSbxZMrX868uXNIx5s+n069uvXrnn1j3869u/fvZbWDH0++vPnzLsWjX8++vfv3jdTDn0+/%20vn328u/r38//v3/y/P4FKOCABJoGYIEIJqjggoYdyOCDEEYoYVcOTmjhhRhmiFOFGnbo4YcgSsRh%20iCSWaOKJhIyI4oostliiii7GKOOMDMJI44045lifjTr26OOP3vEI5JBEFlmckEYmqeSSsCHJ5JNQ%20RrmZk1JWaeWVDUYHFpZcduklZFR+KeaYZEoVZplopqmmTmeu6eabcIbUZpx01mmnJ3PeqeeefC6l%20ZZ+ABiqoV38OauihiBaSZ6KMNlrmoo5GKqmVkA4qATEPQLBKAX8wsEAEBhxwiKegivrYAgg8YQAC%20CyhUiKcIFHAEKKSG2lMppXRSq6lPQYDrquIgsuukJVUaqAsG/7ySADZqsWBPIS88m9gZCLyyyg9c%20ELKWJtH6lM4GBq0iQTlDlSDtU9jO4gATBTh0SLfEjmSslwDUa++99uYx7gbWTnHuHvv2W0gR3JAl%20wMEIJ4zwHj8UILAP4BqCrCMPFKwHwSANoPHGHG/McAnuouCrpp1gDBMBKKescsp7bGHMHdkiYnK8%20chYqKb4415vHEz2sYLEe7CbiTFsKF31wHgywG7IwG/zsh68bkKyIAi4AMnTGHWc9wB4lcJpKsJtc%20ffLKZBPA9RvzKCI2zavZHGnOOOfBwtJ7+aHADVdZQbTRCudBjNMcbAB2IMQs/eocejebhkdaZ62H%20A3ijIMEsoP9AIVPZZD9u+T9dK7I5221ztOXbcN+7MxA9UN6HyXO00QM5CED9rBCzpgCBC7JywIAD%20EvywQAI/GDC4yLgfAWvuHEhQQLs8QMDEARE4H03xm/DdNxJFnLDIsrLAzOs4LsRubg/7TIPKFiwU%204GkDvMogNe09MBDrBgdIrTuqyCvPvCONd6wH4rNC3iDKR7+lyW8a9lPDBmqnu/nVjwfHO4L+DAc7%202TkCcyv7XwnshzjV6eGA9Esg/Hpwuw3kbne9WyA7FseBCo6PBwQ8gOFKKEDwycKChppXl0pnOins%20Sx6EIAYKiBG1HsggCg34Wwq28LoCCK8IgXvBDxMnDCcyAIr/UWQGB4iYBqgpIGlAHIcVsZgJ6yUM%20CTDj1yJkIDwFYEtaRxyBEmNgBQbcwWuQS1wT3LBEtKVgXGS4WxEPEgwuPqJ/HAOaFskxPD8c0Y4m%205AEgV7FBHjBRkmyg5CCzKLgtosGIekuiDi6IQZblIRad1Efn+jBJQdrvklV8IkRekAM/ciCOomwa%20Dx55Rx44YIy2xOUcB6VDLvEwX377pCBgFgUEMIAY4UpeJDkAtbpF0XVqMNW48MgCf4iBByvQ5jTz%20SIYHJABq2vsG2iA3q3BKbpplNOPRSEguRXjRDcbYpsiIMgft4Q4FiJPavgwyB69dkweIE0cJeEVO%20DpgTnYdE/6TG3FGK7wGin0OEZ0K/8L16AlSLUWQouR6Kuj9Os5qPKKUpkSDINjBAeWwwHBI2GtI6%20YNOd0vTavhqALV7pk5r8zNY/w0C/dxr0pyg9VDGxdEyd6YGI2HzaBklGjFnV0iC1TKcQpFZLa83B%20IPt6FkK6+lGslkACp+BALdNgBiyIg6wc+Gr15CkAJGArgYUQJOVWqdazqjJmvlIfxI7wBHfBLJ0P%20mMVWmRbGsZ41rWuNqET15ddbhhEQgRWH78YRuSzCoZKcbawfrwrZz131r+lkhEpRRln6seAADWBg%20HvK4Vz8u9q9ejZg0NxCBai3wr2YFrAk1+9u+qjGuuj2tcf9TK6ilXqmpAOADVAOxBQigIo08aJhJ%20N7kFdyUDBXdzHbbcxdfvUtJ1eYwALgC4XcHywLzh5QRd60qKEjysENgSRx7ToN13blIgEOTrF9IJ%20jxGALAWodEgt65be9dKBfxLdmhQKZwPZ9gHAPEjwX+vWXQQf2LgMNpeDi+tQeO4Lr4lYrdkmbF9C%20aBjEfdyAdzN53hTgzoMlPipo1YnjKbQhvhDT8SaJ6TZHQbcP6PuXHhZqEKilQa8xJm9RibrABIxr%20cXwV5BVoZ2UqGjiMqOwBKm9Kgy6zEBPzPYs1DRFZFGzhCFB284eh9jMn11d7DEjnQm3n0X0RuLNh%20liwi5Tb/ZbcKgs5SgJrr/JwEXil6u38Gsx/j/GWZIkLFhDZoIB7tXz0XmstXrsMBGEjpDgNVl0gA%20NRVL/eEcFrlRR+7BmYmh6T3k0aBVTQHijMFXITwLfasSWBz4XFxgV6u+BhUCC6sZLmPfF810VbMi%202Ks7hOw6CQbFVh6qe2eAisPXKcBWuHL9hWR/rhERlnDPOotfW2a3sp4sLrghptt4z6rXn7t2uS2B%206VSzGxDitvGD5/1lNhz7s4XW9Sj3Te9tt+DgH0V1FGvd3FczKtYZXpog16xB3WJX4KncF+Vc5mGO%20R3xW/VWnyRXY7Ae/u9CBBkWae6DtRDxBHPwAuThEvgxC/6cS5Gr99cKzaC2Ymbveb7ZEuqVAciQM%20o1krZ0HR+dp0oqPA6AhvOYmJsfN/L6LfsnY5UFpcbXhWPeapg7fO/VvblaOdB1xne6KcayWMg7fe%20jf5DzO3c83iQWMBoKflAhh74hl8dIXcIxoL7LvNor1viPevxOdb5BKmBgR0uZ8HwamnREsMgtYD3%20o749n4KPC7p/Ung7eGt4tp+nLeK8hqdnYR9uP5p+9pgncSPAnmF3A8LahJd94VU+vMuj8t4grW/U%200ZZ7CwOK7lWyO1D3B9x3RhOGJbU3K9xQC4UwA1XKVgEZnmAQBzwgClkVuOrIP47zl911EDVALYrr%20Ufa30P/9c5WnFILnw0XjXfkKsA+F0ypZ1H2oBCscoCrtFwU8dwDBIm7GEH4LMH5oAzOUAzPwhzry%20B2GT9XjMBQs6dn3vVU/mdwU8U3aUI4EUuBcWWHoeFX+oMDetcoCoQkoq5XTZh0kiOIIs2FkqmICV%20VYLGFVXcN4PfJwIKeH8mGIT4J4PeJzg16GqiAzp/sAXI80tUNHxFYHlQIENyVg4LlkTIZQII0AZi%20wAKzUAQO+EyXpUBZsE+bhDgGYAA1UFAMAFduiIYkQQLmMIFY5nu1Ry5o0AbAFoZmuAZXsAUPQIcv%20pzqIk1htsC874ALRBDVSI4eMSBEJkIRq5TydNXx5+Dn/kuhJ0fSIZehfk4h3lqhwbJCJhTiIFcGG%209FN8gLhdqViKQHCKoQhEW8h0LWCIVPYCaXCGnfWKUECEz2dxVIgEuZMAEfAED1A747KDQChjdFQA%20qvMOuvM85ceN4MQuBVaN0qAOUnAGDNEvFCZGbGAto2YLD2OO4TgSBEQ/EGd9epAOs+AM4aKNYHQA%20lQiO/YJ55kRzCddC3vhHz+NMPZCOLRQLyVIRuLIG7jKNe+CJ59gDEpCQg7Mu9BNNGUmPg8OQWPiQ%204NUK29iRFYFKwoiR/4cEH0kNG3mQYQCQKVBYUsCPMklNNPmNJhSPOImSiAJ9y6gr5/YcD0B9Q5mU%20KCCU/0qZCVDjfMsxak05lUw5lZaQX84xB9AAAdRolTRTlV7JCNWEYsQhRWGplGB5loiQK8wxLgfw%20bGoZL2kZl3RZl+Yxl3aZl3qJHXi5l375l8vRl4A5mITJG4JZmIiZmE2ijIrZmI75HYf5mJI5mZkR%20mZR5mZi5GJaZmZzZmX+xmZ4ZmqL5FqA5mqZ5mmFRmqi5mqwJFarZmrAZmz/xmrJZm7YZE7R5m7q5%20m/LCmLz5m8BJFrkZnMRZnHjim8aZnMp5FF8RCc75nNAZndI5ndRZndZ5ndiZndq5ndzZnd75neAZ%20nuI5nuRZnuZ5nuiZnuq5nuzZnu75nvAZn/I5n/RZn3v2eZ/4mZ/6uZ/8SZ6TcAH9GaACOqAEWqAG%20eqAImqAKuqAM2qAO+qAQGqESOqEJmgGTcKEYmqEauqEc2qEe+qEgGqIiOqIkWqImeqIomqIquqIs%202qIu+qIwGqMyOqM0WqM2eqM4mqM6uqM82qM++qNAGqRCOqREWqQyGgIAOw==" height="940" width="1253" overflow="visible"> </image>
          </svg>
        </div>
      </div>
      <div class="fig"><span class="labelfig">FIGURA 1.&nbsp; </span><span class="textfig">Cobertura alcanzada por especie de maleza en ambos ensayos.</span></div>
      <p>En
        los dos experimentos las dosis evaluadas del formulado Guateque GD 75, 
        hasta los 90 dda, ejercieron un control muy similar, calificado de 
        Excelente según <span class="tooltip"><a href="#B1">ALAM (1974)</a><span class="tooltip-content">ALAM. (1974). Resumen del panel sobre métodos de evaluaci6n de control de malezas. <i>Congreso de la Asociación Latinoamericana de Malezas</i>, 1-48.</span></span>, sobre las especies <i>S. halepense, C. dactylon</i>, <i>E. colona</i> y <i>P. oleracea</i> (<span class="tooltip"><a href="#f2">Figura 2</a></span>), al alcanzar porcentajes de control entre 91-100, estadísticamente similares al logrado por el tratamiento estándar<i>.</i> Posteriormente, a los 120 dda, en ambos estudios el control de las 
        dosis del nuevo formulado disminuyó a Muy bueno, con valores de control 
        entre 81-90%, sin diferencias significativas con la variante estándar.</p>
      <div id="f2" class="fig">
        <div class="zoom">
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blm3dzzy%20x8F7oR8td3HTfe08bvvgCQ/60Cvd8lBvfNODk/OSKD7tatf3z08/ev1WvZioO4vmHc15wZNd4DZX%20uat/D/zCG973iy+72YVvdbZhPW9aP8a84Y35eeBOUuye89Y9/3nZS53RVA9+7+1xfbPsXvzjpz3x%20YW58ond5/ewv/eofj3qmy1z08D/6p/dt7n63/+z6UH5g0Xr/urF9+NZ9isZ/BniAjKd691cPAkgW%2057d8zKdqyVdl/3dzxjGBGaiB/BZ+FNh3+fd3DviA9Fd7l9dy/WQ22Id4S/F6c4eA5KaA0ud/JRh4%205Jd75jd5mydvNih/cfd+F4iBQBiEQFd/fOdyI0h9vOeDINiB6UcPEcgVBDgSMMh9y1aEOKh+Q4hx%20UBgQUygWHHiDW3iCS/h2X6iEXeiFWrhtyAd7RNiGCVd0Z4iGcjiHbxiDDXiHAJiDoNOCFZVkNfh0%20KReF4Ad5KphSFGiIQzGGfNiHXAiHxZeGw7eG8bd/s2eGlkiCZHh8frg5useDTah3SFh98lCISlGF%20InGFDLiH/94HbEeIgqn3iBVoTZTHFI6Iid/3gYh4ewq3iZyoi7AYiXoYe69oelKog2WRi8eIjIdY%20iomIez2YFKoYEqx4dfmWgJn4jLJof0YIgbe4FMyojbvYf0/YiXj4iYETioQYjgVXjMpHiYoIhYwo%20FOM4g9vIi9Doi/uAitSYfVFxjc6XjfhYjguIjVlIi/UID/7YFPeYdTQYNj8ojM54isoogaKIfk7Y%20i+IHhu6YFA8JfRFpORPZjCZofR85FNUYDQOQIhtQAAjAAOPkkuJ0DOtkSwcpM88XOgY5iBwZgo6k%20kVARkjw5jJooiWyokB75hzvYjtNYed2YhCuokAsJFEQ5Mv9r9o5YaIzk6Hjf4GIUWZE6sZLPcCTS%208iOsZE6utEqeNQy0lJbSIJA6SZAQmY/m+JPyKI2j6JAZuYgbuY8dGZR4w46oN4smeZL6GJWmGA8N%20iYt9SY9/qZjRWA5geZjfCBRk2QzJUk6N41lz5EfD8Jl49Ec56Td0KZJ2WZqmmZBhiZjdUJld6ZWN%20+JjomI7EuJXxWJuQmIxMuYy0SZWRWYcpyI+dFzPN0Jji+Jut6ZqqiTkyWJCy+Zo7iZXRdxOZuQxD%200jBo6S5FNCpLJAzdqURT1Jy1c5pFGZ3kWZ6saZluKA6wCZ3oaZXKyZ7teZutmJtKKZhvQ5iyaJix%20KZbpSU//z1mXRnmUP3OcKXkUV2k01UmS55if6PCeBFqgO3GdyuCSzzImG9AATKQ4USQMH9Qrc/U1%206SmhqNmTEvmgy1mGXzmdDDqSOrGgvpOaPgmYQDmVRcOfwjmcfkmKkkmceegzCPqUjumUe9lfNpqX%20lOmiM4qiNmGhyQAuGCQt9gMt+OMLVQokV9oMcrma6wmfAFqjPxqYPgqMTCiUfGmkaIqkY3qj86ib%20u0kUMpqVxYmQrkiftmmfAzmg5xmmPDGnDUpCJfmfzFmiTEqnKgmQ9nAvraI8QMI8v+Co1kKaYmqm%20pLeiLJqYO+qNmaqpSJmUeJqncjqfhFqoKYqXcFqL/Zig/0YBqDA6DNN3qZjqibFoqXY4q7RaFK5K%20o6eapKlalZX6qZcYqu4nFFCKDJHDXK3CLr0yOYLioc7KpYZqntT5qlU0qGBqqr26o/6Zrdoao6Tq%20rZfJjZsqlW8KnEMZrhMan9tarot5l/2JnEqxq04qqCpKrB7oqfCIn/iarzlxrMeAoRyaNQmjNcOA%20NXE5rXxarbzqoKgKoVBpq7bXo2lamPJap3t6p6XaqQzJqrqqridKofDapkqqlXaqsevqpztBryIb%20oEzapOzarsKqf/2qqonqgvKQAEDCJL3CJAgbDD97DBJTBhGgsF+asvNHrhLbreJan3o6lwv7og0L%20rmpKsf9s6q6TabIZi7IhG7NUa7Eeq7Qze6ZkGrFjS7aQma5Vm7Zme7a3iqvFWqtu+7Yby7E4AbDH%20kJ16dEcb4AC9ojDfRLB/S6kyu69xWLPA6rC+CrFXO7cTy7ZFCrZEaoGOy7RIO65ii5v8WrdOO6pr%20+6uJa68PC7dxmrn3ublN27mz+bno2raGC6o1ew0s67U0gbfHIAAI0DgEgKE1EjnoEq2xBK2Eq7jc%20erFBerqT+KuyC7J9mrSrK7lHSrmvO6yxG5yVa7nN+605MbsqK7qLS7r+arRcm72Ya4/My7D1CqvY%20erl2G6zTS72pm6s8YbvMgJbG46GQiiz4O7zeW7xhq6//7xuM4Guzx7u1XMm+7buy5yu16Xut98q5%20omq6J3vAXdu927vAMEu7Djy61Vum12u8CorBiCq3lcupqgvAyJu8A0zAQUG/ysAAjVNOWSorwzDD%20vpKw7qu5hwvBETyyWAukJKzDKoy4UcG9zuvDS2vC8ivBBoy6CHzCQWHE2rvB39vBrpvCsBu/PRzF%20Ihyo6vvAWly6KDzBTlzBR/yvivoPyUI/IQotI9qhjpNEzZPDWAy/T7zESFzC5tq4ASzAPBy3KHmR%205iDF5euy1Iq+GkzF/ju589rF1hpI62vGhSy+FEy+Cfy18fq/edzHsmrFfCzEWXzHW+wOvVMOLowM%20Lum3/8/6oeK5KU4ERYrCKDhcuKBsx5I8ybRcy378x+FLx2S8w2Esxu9QyulAyJf8xRzMyyz8tF46%20voicyDZhzFDsy78cyqIszJRcxpY8zX/qyFOLzFWszKHbv0uLvc9swelAzPeQxvtwTulSJr4gmvDM%20AeKCSvI8ntQMtUd7y8esyD9ctp9cxzQrzuOczmFIDtKMx4YctQwMzbjkzQ18Ewk9yrks0Ghbshjb%20zJV8zmcsn6y7wgUNyWB8zb1c0U0MzCRd0uugzuJwysJwALmbLlvKC2/ZlrKklkxSS/hs0vrszA3t%200BoVydtM0Tyt0drM0VOMDiw9yBDdsvnc00eN1P3sz/8frMlc/NFE7MF6/K7ZjNL8zM0KjNUEbb1b%20nbUZ7ZwMPcK82Zstzc7zkC52Ms8uQpPMtQvnlE69cJM7TbzlDMLMbNRD7MnSa9EX3bp6CYrF3NRA%20fVRCLdVgzddVzcggqdjoLNLJHMzLbKCE3cmYndnPm8mSXcAnbc1fTdSQzcmcndKe3bGC3BVurREX%201VxPjdb7PNSmDc4kq7xkrcu7rNohfQ5LXQ4TDchMPNq2XNrEXdyAHdid/ds1MdzYXNTLfdy2Hd3S%20XTqH6sU4Ad0qjdv/7KYBXc2k7diPrQ7B/VmvjRFDhVFdzdy+vdu8ndqqvbxi3dz6uZ+JXd/vrdWo%20/bj/GC3a003dP13Z0UzZHX3d2M3QGXzgCC6gaa3dEm3gSf3QI43c1n3a8S3f1X3h5n3QRZXeFyFX%207D3bCf7gj0zhlz3f8C3eAr7gDL7SHi4O3L3aC13bG07j7T3eA/7iF6zfFs7hVF3WQPzXJW7jOz7h%20zy3huIzhGe7fus3fm0239o2jOUoOLv0NndXSOd7iaq3ZUc6j4D3YLD7QU36ujCvmxs3lEI7i4dzZ%209A29a5qcPn7jON7gDu7TRz7Vlg3a0dvIc07eCk3iRb7RgJ7cY5zmZL7fZr7CcQniEbFc97Dlif7j%203R3k/Q3m/x3EX47phm2LXC3od47nXa7cAd7bKg7l/2Nu6nTu3DQx46zO2BVO52/O53Hu53ButWiO%206IV95loL1VHt4kheDkp8275w5Q3RpbQt6mv+C7Eq5W6+4rq+61m96ILd66Wu6oVu6DWO58Cu52y+%20yH0+2X+e594e1LGe7ZVu6ZtuzuRe3tut5OUO6ylO6a8u77SO66v66cFg7AyB7INO6N0e73Z17u1O%207Oqe6tI+1lRe7Wf9778+6oce7c5+6leM8BqO7ule4OMe8O6+57nN6w2vnkbO8YHeDuc9Dq4O7RLv%205CAP4MkO8BDP2matDPy+EP4u8sp+4sze2AWv7ZKO7T3v8ya/x7l+7Qlf5uFt8SzP6Cpv9Bcf9EAe%204f8bH/PbDvAkL/QNbqKrft8smN+3DrlF7/RLz/Au7/BevfULL86NjrPU+PNHr+hJv/Kc3vKarvRj%20j/SePvN1L/dzP+1x7+vuTfF///IPv+ytDu8d/+3fnelEjvMwb/jkMOxYz+R23/cKX/GVL/lR7/F9%20bdWkTPRf4+hGcfOh/vg6b+7zLutNT/hnj/F1zg6an/GKH9nhXvZmr+NQ//qUz/fsfvWT3+NfD7qr%20z/q47/uyv/NTD/njEPu6T860X+sh7/it7/qzDu7Qr44AzaWiXxSkr/WuX++hRfDG3/ze/fz4HoCg%20H/3en/vkz/lJnP62X/qFf/ozkfKonvnwv/eAH/j/aA8CnDiSpXmiqbpqrfvCcDbTtV2v+Ynxvf/7%20LsIhsViMIWO35VLnFAGjUSPVmLy6mNrZ8yn98qriIfa63XbT6nTZfG6uSwBApzOP4/P6Pd8E8IJJ%20jY21Ib0x9Y0Efg1WFRoe2iQqLgI1Oj6+RN5MdrJkam7SeFZaXlqBtojiTJaanpKlqq5mkLr2wB7J%200nJ5+v4Cq9zi5sam8ta2DocVX8jOrtoONws9IwcHP2vwSt9SO+9yKy9Ta4uPe5eH02IDm7PvzdXd%20tdfbd/45LWN8W5/37ePX7F20Tvv6rSuYKOAagqK6uUJ47B+fgOoSboJYSiKoa/cmafuY4uDFjhT3%20/1gc6E/hQnIlM3kUycdhRoMuVU6E1/JmLpqRNFbiCPOkHoZqfB7iI89OPplOn6pomoMkTpM6AVLt%20ufKhzWkvH8XEuqzh1proIn4tFLZiVlhI3wBdJBQsUahdQtqFwlNrTpZs9556eyZuoLlq6+bVIRhN%2013RVh17967XYYi2EwRhusxblPrIYf8ajwzQx6adSV7R1+xn0zsl8+5ptjfYx3cicxx4ty1r2xrSa%20EcdJSVl30sazh8OOXdoJ3rypA68uzrs38uTSp8v1XWbz8k/RBxunXh2y39uuVX9nfFb8a/JcsS/y%20bB1u6Hmnu+P3dX8kYOjz6cNXGG21vRcgI9phwf9dHkaxQRyABgqCoBu2FfVcI5UhEl5QEiahYH4m%20NGeXhRemp55Y5/n3n4knHtcegQV+mAKGcKy34YC/UbjgiIQ4CF6N2d24HXBrMHhXjyvGsRQ9MTLZ%20x34o7MijikhW2B+JJWb4o4BBJjikGkU+MSMnGgI53ovKmeeYi2dexyJ76FlVXpMkhAhVlGIcSaWO%20Vg4ipiRkbmnmYTnOyYGfrGiJGYeQEBrcnVQcOgqginI5oZx7DiNfnGiuoeSThYKaw6cmPAopllm6%20+eYlkfaS6IGVduhlGmAylyeqqZa5Jo6X4iGcrrtyWqWav3bZaJN1PlUqKlNa5uqrxBYLo2Qtwun/%20XrC9dpbbqWM6O8WiSsjaha/VWtvmtKquui23uManLbM05uFpqPN2MWoJyuryLrznotunrfvymyu5%20g/LqKG4NqosohN7CymjBROJrjL5/dvuKoMBeOyeyTkUscbnmCjtsipvuxi6lFwtp7JfZIjyxwiY/%20C22sKs/aMTgJS1rxD5ml/PDKBxuJc6vxirYkvUenYC8JNt9McslpUpuu0MnoHMS3MoQLCJ9Supzz%20whbL7LC0IUd9ZddDwxxhw+DS/OHGMjH9L8Bk98u10w+mzTDK0Y6N6S2afuzj1ztfHUrbWqMo9dlU%20D2712lgfrg/LQS+uVNFKIz0v5nolrnjgggcs/7DnnzdbNTGPG+5zzVvjKTfFjZ++t6V9Y8s6JlNf%20FvPAGD8d6tsixT0146EHujvveBOv+8hsguy3K4AzD3ryass+s+ri2szq8NPrHTbb1yP+t7t3S9/p%205Zmj70f4ddsdffnOs3975ZMqPzrBtBvcub+400+995CDT3K2MxX/TMcM1GUha/jRXu78Zzy+ZQxi%20A1zW/AwoEARCI4A6GNfy3Fc62B2wemKL4M/01z4P3op7YHvg7Ei4OhO2roBEs0/6aiiCzXEgeIvb%20Ht1s9D8AuvCFZTMb6T6owhXa736962HxWGg9/EkQhvIjn57gJ7ok9gyKTGJg/7rnxBEusXZSJP9g%20BUF4QRF+T4tCHOIJldg8Kzaxg8dDHhPjSMQizq2O9bujG9+YP5FhMYthrNf5bJg+HOqQilX8Ixtj%20WMa8ITGQLRxkFAHJxz6+D44n+2ECI7fB7LnuZUd0HBqBGERsFC51p1yfDzmZQTVib4L5euQoY+fK%20bSjwk7IkAhctyDMIUrKEltwfLaHWyi+mcZW6HCMFFZlC89HQkOhD5C55KbwuelGSk6SjHh0oR0EG%20c43xI6Mz86jJPRITj+Zk5Dibqc7XQZJwGMSlJ3+Ryk7CMpbDTCcKn3lOdDqynOuKJylv6SF2HlOb%20TwynOK94SXD6sZKNnOI7RWlMh/ITk5lEKEb/A1pRr+FBXpljAAIKsIENBMAAA0BBAhRwUgUkoAst%20fWlMJ0FNZrpTo4uUaDtnKVB41jKEBs3lVEApQ4LaEpmmZCgrE/pQiG6Uo5tUqiqVWdRqViOUIA3q%20GYdaT9QYtZjdzKZCk8lUAeLUmkfl6i+3yU0x7tOj/RwoW+9JTw1eNa0e+yjaklTIow3gpARgAAcS%20EIANGMAEgSWACAywgZXqYLGNfaxNm2rHp7o1qsKcKDn5ysOxRhKzCz3rMuNK0bkC9aKXzegcNdvQ%20jp5Wp/78J1lFC8aIbranahUrbUPLWqi6Vp+m7SxqLQpaeZayqqTN63BzKtt1ShWgcm3tTnPr/9Tf%20AteIdZ3nQXl63TZSd7aEjCa9DnDSDRBWBObdgANIsN4DqPek8F3Be+O7gfkqxbJT/SYwcfva1U43%20vND1LoAD3N+3Rle6xH0uXVW737Iu1b/C5axzBdzg4xaUqvjMJ1qb61PPNrC22M1sdf/74BGTWLwJ%20FjF4Dxxc/Z64xS7WroMVvODs0ri3vjXwjFVM4BjLeLQShrGNP1zcrUJzNEcjwHlLcNIAkMCkGxDA%20CE5agBxImcoisHIibuphI1v4wnClMJjDbFwdZ5i/KfaxiYu825+eeczfDfJtEfxjIMfWzEjGcFLV%20LGQ7Wxe2N8bxgAON5zz3mM0T1u1ej9zXGv97E8LKHXKHyfxmEGMTuV7FK1ix2jQ47xnNfZb0hq3a%20ab1mda1JNlqozntfEjRZBAKI9ZZPqmUUzPqksLa1k4jMYh7/+cWVZnSqeStnQQ96zYVe9JwRnWgx%20H7vAzg52iZmN7DITGtor3jGw6yzs0lq60QxOLZ+FquFXmloYYQX1o8vd1XPflcPgJvanMe1Lu3bX%200IeucLbJLWpz+9nb1fb1r5OtbH+PV8n0OqxgR5BrxopgAbTmwHkXoAKJ67rKJ7V4fod9bWwfHOF3%20drO49dzuf7874Gal9LybbXBqK9ra++Z3yOM88kijGObLljnJS/5sbeu75/V29GdR3lad79z/4x/3%20+c9tfnNuT1vgOY62tGle85NTXehDNznWnw51qyNd5F5PM6nRvdxTf5npVy96wlkNKgS4erAccOwG%20ajr3iZ83sSmg+wZ2jdheK33mIA+72NuMczpLPemB17pWQ73trw+e8I5/PNltu3JAG77gYE880IOu%20+c1HGPM8F3ovzXh0znd+9IfvNuqd7nnIR/7y32ZuuIvNbrZTftSWD/3s0V77rXM9xLC/9LgLr/rP%20E7/4k3eCSOnFAIY/mckBwC8HpNx3jaNUBdb3O5Q73vKqg37Soif48G1vb9Pjm6i+p3fpkQrwssc7%203fzxdPu3m9xSn13d9G887seu+5zL3sAt/x7p8Z/waRq85VvmlR/w9ZvrKWDlASDvCeD3gV/yBV+m%20QSDiSeDU5d7/sV4AxlxU/BW9CACTuRpl+d311VrGoYCrpSDgUSDjXZMFpdzubaDixeDqfaD49Z7+%20oRoDNt3yvd4BqtwN4uD6uVz48SAHdmAN2iD+sRztsV8BYqAH7iAUjt8A6uDLtZ4QPqAVRh0IhmAO%20bqESYuEEkuECAqHkeSH5EeETniET+t/7wWH85d/8/WD9rRoO5YdLuVoA3BrF4d3EmYALYp8KOgEE%20zMEiLmIEuCEYcqERpt4jQmLsieEkUqITRuASyuEXVqIFNmAbZuLpXSImpuEC6qG7kaIkGv9fJmri%20FcbhGJ5iBsKiHUYhEi6d+RGdAdJiGLKiA7qiXdliD/rg761hF4riLPaiGZpdFmqhGvJf/3kiHWrg%20L3Yd842gHszaPUicAlhf9h3iC6aAIa4gIsbLKKbfVxXj76Wi0aUjp63jFKqaKr6jvElhElqiNUrj%20NK4iJ8oiLlag2rHhPh7fG9ZhAhakQVajP5qiMlLjQjajM95jLh4jMhIkOnKX+sUjPoJiEF7jEC4j%20MyJkMM7TMKLhCTTfCZzgSrKkOQIDk+mdCW7cCEAf96lATWJf98UDRt5fRBIjlKzb+bnfK9biSD4j%20KlLhvWWkOuJh2umi8n0kP9aj/AHl/s3/ozsuJTw2JTsmJfplpT0CpOAJpEXy4id25EBepEM+pC/q%20Y1muJVvG4j9uJEW2Y9uNSkviJQsGgwPI1whY35VNll7mnQrwnd/p3U4eZUjmY1we4VwG5FNeoFL2%20pEmepGOKJWSGYlQmpFmOpT6m5UQ+ZkWWIjDy5KaBpWUS4FVmXRmKpEZupTwaWxP2I2M2ZFimZmzO%20IVHCpU9W5mtyZGe2ZRW+ZSQyZG2iJmue5UBaDnmpZF62ZD0wHAkEFq1hHCJW3MUN4gZwHGKq5Wzy%20ZiduJmeKZnBKpmlS5Q4E5S4Kp24SJ222YmIqJnAWJ2nC53C2JlNWZR525VB6J2WCJ0lO/6Z/NuZx%20QuMMmhF7LqZ7JmN3TuUd5qdTjud8LihoyuAOrSeCJidZ1ofCNadzrmQ9ECI55pp18loKjKjfBeI5%201ieGZqhnXqgwuqZvhmaEfqdcymho1qVsNugtEihSqqaOfuV5kkp6QuVnUihytqiETmiPKmQtCqhx%20Mql40uiTQumDcuWP5mZ/GqVasihmeqSR2ibyJamCLumNXuaUUil9okBKFmKKqsA2toOUOdlLRVmJ%20CiJgyppJIUCdTpnG4Sl3HqmYymeNDqiVwubtuWWXeilavmhJxqihUuSUbmmgCiqaPip6/qCkXuq9%20EGlkeuVkTmqYVmqOZumOSqSo+ihugv+klEZjowbopnJqprYqDcIofo4Am4IKxkFWYZ1XINYXB/yq%20CFjfntrXfAUroKJqfA5qmqppsiqrpdoqpkKopkZrrOonlq6qfSYos5YppNLlftqfeTqotEIoqWar%20olKrVnorjoIrpFVqup6mmd4moq6nlsIqJVilqkplkI7rkOYrveoBrr4dSsVUCaLUro6AZN0dwnIA%209OkkByisYzFswJYmAt4r51yrvoYnus7qgdaquq5rhd4emMorki6qctarqf4kuV6pxlZsESqpZq6o%20oprrvoLqxeZQp2YmyZZsgVoorTpqtVqrMXbsUNJsu6qBwILKACgAwxGAA6SXCczUBsD/lGIFgJyS%20wNRWbWWtqL0KLb5mLMB+qrjyaM+mqtjyp8r2ZsjOq1CGq8V+LcaWK9Ji5c3Gbc7+q9u6q8+OrKve%20ErfyLNu+a9Fy1dFiq82S7alGqXjW7Aoo7QoMAN8ZQANIEzjag5cRrYEa7cfGq9k+K7wK6dC2LNq+%20LcySqcxyKeeGruj+5rKG6uJq67ICbqJ6Lcj6a9jqLT3ya9kK7qjS7WoOruYWrur26+1m7s96bNDa%20Lgc8Lq7JpKsVgJuS4AYQ6+W+LPy9ruc+a+Ne70HiLAfB3+ym7O4qrvYy7u8Cqd0u79Lo7JfSrtr+%2058wSL+/2bpMW5fe279q9L/murPGO/27u1m3i9i/rti60Lm/zngD0reSfIg3cSS8wYC69gW7xsm/e%20qmd5wu36gu3cHu7G1m7nsuyhAjDw8q1nBa7/ivAFj20GgzAKFzD3di382mj92m97nu7+qm8LE/C3%20dnD3buLpnvAOs2sPJ002rgDc5eV2AhYK3kMEF/AE068L87DLxjD/rm0IvzD6lqoVx2/qKq8OC7HI%20mrDfwpv4YrDpEmqVYvEUk+7e1rANA24QVzDuqnDacvEMr/EQUzGD3nGh5vGZwvCaGvFNEgD1ydoB%20EADEIQ0B2F0T+zBExjEZo3EaN6uzxq7r4q8FFykOC/AVS7Eet7Hu5vDqbvD/1nHpYv9vJtPxJo/v%20KFNwKacwK59xKt8t+NahGa/wJGcvDW+vFusAAjvZCrikNEHwI99vLecvys6y9yKzJnuqHbtyFIdx%20256yG38u4VpzLxMxH0dz+fLy+W4zpb7xfWqw3JqyLOcyLZcz3q7yM6MyM6+zLf/wDW+o26nAMMMa%20MVtvFXfzAM8xB++xOF+z8GYzOAe0JXMsQbub4R407H4wKZtzLLtzQSc08m7uF0N0REcqNi/0/Hrz%20N1d03wLtq94tOx+vSCcvSR/wIKcAASjAAbgpIiuyPgeDE2+0QqMcQ4dyALNwRsszJOMyNHdyFwu0%20Nje0+Yb0GI/03+KsSUswR+e0R/v/8z8/NU6T8NmOcPoONR5/MiD7MuL29CtrNBtnNTYyZw5UZ0sq%20MU3/gk3PKFRf9TiPKT0v8zxH8lKXcVMnklKnNFOX9F4TnRzDchaHM0I/tFg7tUTvLCeHtTRTtWK7%20bytvtR93NTWjs1A39kdXtskasA4Dcwk87wkyMFvrhzHv5l33dV7/tadBsWZPM2cHclFf8smOZiUj%20tU6X9bketmMPNllXsyhPthpvtu8WtkPLMGW/NnEfNUjvtms/NmEv9x9zdmtP9ViDcm6LCkurQGgL%201gOTdpeZNhzvsnTD9ld78HELd3Jj9W/ztC6rMkDvdFyzqlU3IW6zt3zPNnV7snrL/7Xs6jVrw3V9%20S/V+8/d8W/TwYjRiJ/ZNHzhF2/dl+9VZOwHTMpxKfXc7uPWZ6jdRI/SDTzRwZ3Z1L7hvQzhFN7eI%20/7ST/res0nduevhiS3aIE3hvX/d9a7WMczjsvnhk1zUkj/dwr3eJg7h7N3M7w3jAaveFd0eGi3Fg%20S3L4rvi0BriLD3iOG3cfp/dzk/iHt7c6gzGNe3VxI/WJz7h1h3l0A/lAN3hHJzhvg/l0T/m57rj+%20xjiRx3MyayiSS7gKDEAABMDEKnlNhzc5f7mZWzaX43dSOzleT3JQv7Nd/3iBG3R837idF/qI17iQ%20dzk8X3qKn7ajmzh6v6cXq/SlY/96kxepYBt6eYs5c4u6bYP0nCvzDHFoDjDcwwY6NjA5nLe4nFc5%20V6e5gaP0RZd6Rp86r695VLe5c2u5hsf5NMp6nqczp/s0ntc26nJzcI+6bM92bBv2q3creSs3pW9x%20P5f5sbM6mn92Tub6Pmc7jgN7s585ues2uGN7h/86cku6oqf6k99ylJ80XxO7X68zupfwoqd2owN8%20VSd7okf7tav6qh98vzM6lK82ize8gC/7AK+7CMAd1LZ7Pex68GY8lW/8uRt8f2NykcM3dp83lm87%20vp+8lY+5vUe8p8MxqA+5l1e7Mx/5tEP6e58zolc6zyM2zjOjzm960LP80P98SCX/uQkwQPSGvMgP%20+rZGurwf+tM/uo8LPWTTeY8f8537PI8Dvdc3PdjPOmZbes8budmzvdG7ecqrfGcbO2BTfMJbfMHj%20PdfdvLWTJ63b8xE3gJsmAD5XfdJe/Vyj9sCrNt8DeK9De75nudaT/LAjeLEreN/v7N+Xfdif/dh3%20OuDHLGO3/dGTPl2H/mln/ZunO72D9enPPdJvq9LbZRd4KOInfr0s/sqT/duDftxTO+p//tp3vei7%20fcvbeLlrO6yLe5ATPfPDu767/ri7fO/TtotW/L9fvJRL/sY+fOALP9P/vvJr+u0/Qe7vPrJeubnT%20/PPXvbe3f/OHe7BP+vXzM/3f/7uOUz4IZKLIleaJpmqJte4Lv9dM17at5frO7+MPDJJWxCInhkTe%20lree0ymM/oxUVfLaYmppz25OCs5Uxyzsdav1esNRMtmcRKfVULbQXYXH5U163T6FR6UXw7fk1wMY%20JGhEWGhYg5ioOMLY6OgCiSOpQxloaYWZqTnD6eMpBmoCANDRweq2ITtLO6t6i5srCPAmikHKZaqB%20OqR75PsLLPyFamyCDFwqTJxqjJxMujzc7HwsGn2xTN19Ha1N3O2NCS6O7lyu3O6ZDm0+7W5dny1P%20Se/Lfo9bvn/xAvYjR7Agp3Hv9Gk6J3DgOnumGEqcuM+golysXMEiUyukrHQkS/8y4jXG4UONGxsm%20XMnSjr9vFBfi0wUvY8WIOF/CtMkTV86fQA+6xKhTksWePg1BnIeQpkKlN3MNhfTU6EVCAHcGvXXV%20Kb+WRx11LarVqkqxMdnMREoU0VK1TflkJauq4yuUYzYIICJgg8nBhIvwHVTXblu3Zc1OpQq1sZ6z%20kCMzlRpX7lewieWMxUsXM9bPMqPCHe3VcujTiheDeev4sZ+5Qte2Tg16NdealdPW7rzlLiDYu2XT%20oc0Z+BzXUohP5q15M6iwt9EOx6X3Y+Ht3J0dviQatfXrW4tnni19uvLl40uXf560N/n3ZihHV/07%20fHX57uljsY9eeoxQ5xlpjEn/BgeAx1WVH2sFMteGabHFFyB+yen3IG7zXTbheWogpwqBaAjXH4fm%20ebgGgxc6OKKBYXDUyl66GJBAdwqINAsBKCRw4wYK1EgGj7L82M13Rdi2X4W+rdghWxqWqBt8FC4o%20oCAiBufiaxKeKB5/UDLJZZJKbhhlgtCNSSaYUnbp5Ytbrskmml+GiGSLEN7xppnGfaginesdkmVz%20edZ3JpUW+omhnU8e6N8ZhfJZJR5Xsteem7dkZ2QRgq3ggF/cBYCjLAOcMMAGOnJgwAajVlHqqamu%20qkumK9SpaJuWmhhmhpVqiSChe6YYqRuTMkEio7jqOSWkh6r3Zx93LjLof48C/7usJcMC+iwQziGL%20YhcgMpsoltl+0ugev3rbJ7gsirvorcf6miy1SyK6LqW2CtqrtOc+8a21tNp7X24nxahdFZuu4ON2%20gYV6MAcHyHJACQ9vELERE1d8sTGyhhIuu/fi+y68ccrpbpkij6zsvOo2KaahAqt5spMfR1iuud2i%20W62/HQPs8ssr51rrzNDm6+i+f+Rs5b/EBkpzzY8YPUmwvTS7ybiVRFt0vDgjLanS2LbLq9MwKJiy%20zzrv/PWuIIOCaSxETLxdAwwrcEIBsvxVgiwFUGG3p3lvsHesU9fLc9lp0suyrkJri7XNNx+t8tmE%20p704uSFn/XjUXAvrtbNgr/9tsr5a85uu5IkHHfDhiMMpc+qqmw60x5VfTbTjKMtr9oCdV/1505fb%203jrJJcMcs+KuGxs65rdvHbnuVEfCNJ6XErxxCQQwLNJ2CBBwAAMoIKCqCQs3PAveK4x/QvmCp/Q8%209L373uDpsh8/PPHKB9/z686j7bna8MfPupbhTn9Ja580rFYMsclgWszLXQH5xzv/SU+Bo4AaD/q1%20v8n1b3YJ/J0SGEg6qbHPgOGI3tAomAUQQs6BXSNhseq3Om4tL4SbG5wGI8jBauSFelRYAPZocSrC%200E0FGwjACXw4EhPMYgFFQCL5ZMFEjtgwdvPL35x+FkDUCQ90AJQh/gx3Rdj/ZbGKVoQhFotnvDKa%20MYPyKxwY18jGMZJxgGGMoxyXhkAdevBpo1shAVsIQfe974R7HJsKNde8B95QkBIkZPKAJ8AG/pFz%20LjQh42r3QQueQoR52B0jcwgjj1TPBKX6IcW6k4JSIeAEqUri3zZggCK08omwXF8nA/nJLXIxhl5M%20oxp3yUvRZe6CpbNjL7X4y//ZD5K+pCPylsnMOTozbIVcoCY7UUxFthGPg7wkCrHRR0SykJK4PGA3%20LffITIaTmJxETCXzuC00InOa1OziMaUpyWdCk4/D3GQNR1jOEsITOzxkFfYKACtUmuBGQCpB32hp%20RCI8NH2yiCh2pnhHbuZQ/4/2lKcb6anMYN4vkjRMJCAXGYyBYpKfM/RjHbVJRY2CsnHq7Cc22wme%20gL6wnh0daTPzqc8zelSm9OPpPg15TWbg9EieTOk5afdNsoE0pGK850eBalSRRhOfLg1qVYdKuaIC%200w1tG0OnFBqLwCnRFmt1JRHZ+sqG5QWjVr1qV+F40m2GVZcTrGYF1+lPk5ITpeZspDf9msKkbmOp%20RLjWBsVK1a/6dJ5YzapkJ2vXu471sjVtqTgnSde67jWZfU0nS7841dIeFak2valgBxtTopJWtVrd%20qmxne1jTsra1i/3nLXVqSXQOTJRuCCJajSA3B6CAFhR1awqY21a5UgECrP+obnUjEFphepadvnUn%20cFUa1UNy97UAJaxAn9pB3VoTsK4l72/Nu9PNGlO7qK2sfPMa28fy1ZE9te1tU8vf2naWpCUFbXYx%20m9nxjvPACB7tGy3L2dMS+LMvxW9G9Ytb4a72r7zFIEwvjEPI0hYPZT2uM65nvrg2V7orbrEUy5tf%20DAM4txvmcH3tO2KhNtjBOM7xfOn70x7TuMbg7HA2LSxaGc8Yqogt8nYDu2AYxziX+x2ygHf75PZG%20+b16VbKQNXzl9RqZsbNqamFnulIs31iz94XtlJ1qWDDr2L88LrCBufzmM4s4wCQuaC4Cc1wGmCoF%20oHLrLCyqgkJD1Jbe7bL/l9kc2Q8nOcRVlnOE1TxhBd+50Y6mcoaZrF4br5nCXv3xjin96fT2d8CZ%20hvKmcwrf4IJ61RIOMqR9LGmwPvrWVp4zq21Nary6GcSefnCbh63rXWu6wshOdrGXrGoiS/XLls41%20kClL7Wj3mbhuOMD1QnVcuTUgBbNsbiyJUO62nvuiUp40qqGt7UtjGtt2LrWpf03vYEPY2qd+drY5%20Sut553vZ9kays+GM5vAq1sMGvzZXeV1tfuP74QQXNoPp/G54x9PhFHc1sy8+8f9qnKa1HrjHC95s%20jov83xvvt78hHvGUu1zPlZ71LvxchYkx7Lh28x4KnNjcKK4A6G0V+qVA/y7wjmv51Ux9J3oBLm3x%20ntzi7XY3wvfca3mLutVL/3jVD07zVEM9zFsHdsX33fCZnzfONid7Ytmr1O7CutNXr3m8tf72Mcu9%206d99essxnvF6oxzpSV+54NGe9pAbXt/H/rrK63z4xhOhxFX49s4VGpghogB9bU1xCjj/Ss+zjfBl%20N3nXB+94tcc30hIvudLj7l5O53ntCW/ytCMvedkTu+5i/7viIc941ssc8Lw3tvCH7/oETx3xpC+9%208pd//OY7edRnz/3cZ796XLe+8IuvfvTxvPuwG1/7iU9+96H/fd1bXfwjnx63+/JDtHYqoXW721rV%20ygEB2G2VJuib+fSmMf/Sd3sw13Z4l3fU53185mvmB3wJqID39nuBh3vkh3zc14DoR4GpR3zsx3Ik%20Z4HKhoEPuH0f+HIEOHYLSIIl6IBZN4JihoAhGHMV6IIvCHtbpn5gR3tYF4MCKHWnR3Xgt345aHcn%20aIADGHwZCIQ4mH0iWAWURwWyMG4qkAAsRhgFgGgokDEOAzH1Jwv8p4Wn9IUV82JJqHZCOH5IeIOP%20B4IwWIBF2IM1yHSNZWZmeIYs2IIHSIO9FXvXF3502H4KB3d6aIN8GIRLaIfll4LF929EeId4aHYr%202IYQmIgcaIKMiIiTaIg7qIEMuIZw6HVkqHqydneSOINc54moB4ob6If/Heh+MkIGN2JiKzCFXqgC%20rVICr4ICioZotogq4ROAmziJq1iJHoiJomiJl+h8z3eKP5iGoQhetveGghiHZeZ0bDeKjWiEkBiJ%20yJiMF8iG18iN02eK0viJzaiKmbiN4ZiN3wiO0ieOpueD1keIatiJ5IiK5hiBKqiNxyiD3eiNy8h8%20wFiMz2gJTmgEgUF/scgB4COGstgjRIICAxAAfbMjD9lQjDaPZWiM/CiQpQiPAJl++BiMG0mMHvl6%20IImGImmSJ8lw/eiPEmiCvseJMLmPHJmK+aiIrAiIereHfBdrBBlwK6mM9siMGemMfleSjviI8SiP%20cliNtRdqSvmRLemO/9FIlE15AgZpBBLZkOJDhQoZC1dIGKN0AnMojEfIhC4plUN5lSFplDiZk8OY%20ZgOJlHP5kjTJjjapkkL5jyiZlmq5jkzplk7Zd9aol3u5lkNJlR15l3EZk0n5jlN5ZGoZmWw5mYAZ%20jYt5kzPpmGipiZvJl32pmYiZmH3ZlimZAlpJBKYElqoQGLRYGGT5DCR0ljUJmZV5fuwokyOZR4fp%20k3RHiY9pl6UpmpfJmMSJl7oJmYHpl395nLhpmsZ5nMx5mqhJmD9ZlzuZZc15iFWpWNXZnTy4cNJJ%20mtBZj+D5maRJnaP5lnBZm/sYSq4If9jTmqAAPqI3GLJZBgH1noJpnf/UWJhQGZSN2Zl5eZtWSZ7q%20mZkJ+pvYZ4y7GZr1yJ4N2ofo2I7iGYgTep3A2Z/+GZ7TuaBkxjEBqoPpiJnjKaIp4FjJ6aHp2Z68%20+XS+uaEOCpQ3934GE3/1KQilkpBjiaE8OYgUWogPupwhunczWqFEOpzmKaEMiqRDWqNux6Qsip4u%20+qRKqKTamYcaCqDYaZgQSqDBaZtLOqUFqpxLup5O2qUcaqEyeqUa2ZsH+p1qugo494Q5qqPFdZHc%20oZ/qwKEdWqUm+pwImqIqSpskSaaEeqRvqoqAyqUj6qUCGnUouqiQyqZZCo2U2pOMeo6YGpVlaqbc%20aaVrSqPZmakZSqf/hvqUJXqhIKqpQcqp7tmm8VkwT4ifJQBoeaqrK9CnZomo3wSqgBqobkqqQeio%20qYoCK6qPZ6ql4/ioqkqiQwimyEmlz5qsczirRfqq02ippfql2oqqhVqW2OqpA0qtyyqqggqaEYqu%206Uqs3Wqsv9pkwZqtrViru4qvRfKj2zms73qtqyqt4Aqk3Aqtkcqq/vqv5nWs4jqbANt7Asuv1jqu%20DluHo1qsOLiwlVqwlxqlKMiu7SqxDRutD4umRrqpF4ulHeuG21qOL0qX32qvfZqvM0sGvXqocZqo%20c8qwIvun8vqp9FqukxquGpuwBhuwJcuy9+iyHyum8AmxW4qsEzuy/xWrrut6rqHar3IaiMM6rcGa%20sScLr1Bqqp+apjvrpxw7tsMlnzTLtkfnqkMLthvrrZIqpWVLtFJrtCTbrEvprgjLs2gLs3srmWar%20rFjLtU/rrFH7t3N7sF1rt3FbtIBLtx4bpl8LqyhLj+16uEgLt5cbtimbtja6tmQwALNkAFHYtvhq%20s/zps+Z6tcKquIsbrzgLrIoKuZHbh5ZLsLibpCpLipXbukQGtL6LjSbruXLbu6Fbt8a7u3gruY2L%20uHybtTm7tbG7nwobvFI6vMpLVnZKBQJgebRQALeaurG4uthLu/Nqu8eLvBibvZQbpvUquCxpvYXb%20tMx6qgPbskIKuv+Bm78RW7/kSrzqyLz7G6uceb8tWrUKmrRFyb+Za7jWe7a5+74GuL3+W5DeawSK%20FhL4V76teb49m74/u77N67wUPMKue8GTu7Kda8LXm7dU26pW67UV/LvxG7TL28ABScMrDL2cq79K%20+8BHicGu+7jse8LJW8RCG8QOfMAvy8JjoJorAD4MY3QfrJAhPHu6a8CYS8RRXLw7jJWfC8EJ7K6O%20W8BC/MRMC7tmO8GzG6Nay1ubO7+KGcAU+4f/C7WEK8Dc28JNzMPlWcJd7MXuycVqXMiymsPde6NU%20EADc83neZlxYbL77usd3K7tiu8Q67MKE3L79C8YELMaDmcgI3Mb/mJzJZWzGIQvDz3u0dZybfSvH%20/ErHepy4fIzHOmnL0svKb6zJoXyinYzIZPzFP7xDjWwEX5k3lAzClnzLqOzLoGzMuzy40Gy/p3y7%20Sey+KSy8gzzMxGzINtyIPvzK1Ey/uDy1eUy2aezEpQzF07zOo/yf4KzIAxzMgDzGn6zK8ss2Grya%20yczMYKnFKBzH1DvHEuyr3Ky93tzO7gy8Cg2/r8vP8SzMDa3PxVzOFI3PpEzPpjzRRszOgby0OGzP%20zszLd5zOuqzRAIzOMazOanuvRUAACnAAoifJAZ3FJl3N2dzKjJvRIC3PztnDDC3SI13DEG3BRJ3P%20Fx3OSH3DEr3I/3/M0tbcx5sc0Uf8wtG8z1H91Fjtybz7y/AM1BVd1GtM0n4sxf48dNhzxTiNSgMN%20x4bptz2txMCs0+dM1bk8gUJNw179zWAtzT/NxFPN01qN0Xprznbc0q6M2Ct9yYV9zR892I+NxKm8%201SX9ths9z0xdz2jdhGq9AuFbCx7s1m9914qd1ym91x/a1yG91Noc2I091prN10ZNzrI92c8M2VVt%2015lN2JVN12Et2JxM26xt20rN0R3Nxods0YB92Z4tymT92pZ92DLsr1NMBKItCwRAvqXto75N2Vkd%202VwdxtKd3M5d3S+d2ye92D6N28T92+LN22K93jsN3IbdqZjd2v9BbdxDnN/Qfc/x/dWw/dxWLdXh%20PeDU/d8GntbIzCoKUGgG0KPezaenHcvTW7s6C834bcrMXdYOfdYMXt7FbbGc7dHkHd0kvsD+3dki%20nuIC/tcEnt4qPdsw3twyvuC9vd/mvdnoneP0Dd8IHuMK3uI6rgLYTeGpC9fbXNAZXr1unNBNrr4a%20XtgcDqNyPct5WMuOrdv3Pd76zcA8XtssfuJgbtR+feNEXuYAbuHF2d51DeRX7drnjeNFHuc1C9pJ%203rZLrsoePt3BHdvWjcb8XeI+bufDLeeEvuJmDdVmTubLLc7heNuCHr32Ld96LZyw7Oap7dI0Xt94%20vduY7pmLzuj/aP7hys3Gkr1to0sFnaJcJ9AAba3n373jKj7Dx03l923lkO7U44zcPW7oV75RWT6O%20W17jQp7mgF7gRn7mcw7sav7OiH7gXX7pqp3piX3hvfzlbA7e1J7gyj7jq13oSI6FcIWrAQCbs56f%20bd6kby7c753oYt7fjD7p6h3k3j7k4P7j0t7Vzj7m9P7r/17q/j7vIN7o3F7rNn7qJh7t8D7t7M3p%20jE3pQKzwf77rqY7iRkDuJ9AjYjmFe4pKB+AArVSRQwLyRSAkPnLyc9XtEB/q1j7qt97sii7zAJ/r%20WX3xr+vndA7tGO/oA0/zc53zB+/iAY7sCx/sDT/xmt7uEe/e/0uP7Zv+8p0u7qRu8KZu8dte9IaR%2058tlKl2ZN5qHSgsAKujePaQyaL044amU9rj4iwl/9Fk/3/w+4hXP8/p+6A7f70FP7NJr7J+O2lMv%208fYe77Yu9FrP7I/+0FJOwjf/7Xgv7Ad7+HOv93Uf93c/9PXu6ase06t5q1OozCShf0XUo1mYhUVg%20+luIkYqv85FOmQFf8FdP8IVe52u+9S1v6Y+P+He+9/JO+z0f4okP9L5v9Qzv8wgf5obf9x/59/fu%208l5O+VDP5c9f7VR/7Rns4P+sAgJQaKgkkQmzAv53f3xjf39D2qOH+6AO/aLutBR/+c8O+UpP+A+f%20+/me+bD/+//Af9SMr8IgcIkjWZIamqrrmrkvHMMcXds3ntMY3/u/zyQUsoosGRKpWzJ3wCdwKBUZ%20q6kk1tXc5qBe3nRqrWaz3LPzCw0Px+SyEn1Wr9lE9xEelzfpdfsJXp7eDN+WXxRgiWALYYxhH+KP%20YiDjleMLJA4AQEcHp5wBwUENw4DCRmqBJqRAqsGSa6pN6oYAk+wGbeotqw0AmmQQ5YjlJaaWL47w%20MLHxMaZyFzMGcfEzcqa0DTWY9TNKdsb2Tbc1FbY4eU139Te4+nqa8PkFfPx6+zm4Bn4+db172eRx%200PcuHTKCBQHuQ5hQnkFnAqMRNNfQmLhxEC1KdOhIIceOljL/VgypiJ8/Vpw8gUIzoBZMmAgULgmQ%20isGSBbV2bVjAROesGrV8bgM2h+HBkSmlRaSEcmBJZgE9ftyI1OnEqlbpXVQK9d/Vk1kJgQwrFuNS%20ZU3Pon24VdLUtm7JrQX0dC5ds3apkn0LN6lXin79xA0sOK9eNncPI+YKWBDJwYQfQ/7qa+Uno2gM%20xIQZgKYOB6lmLuEclEYtWKV3Cn1FTvOhxIr56okqlTKetGplhxnbF+xtkYZ/A/+Le0zk4sax0i5T%20Nrjwypa31bWzWKvyycetJG/smLlc7N4RFWbUnbrJvc3N2F4O3rxuVtVnr8fy/Pt76XiZprfuG05R%20nWRmCCqd/xXQC2g31KIAAakEgACCHBTAGmoOMjHhaRzU8llRwfAmRn32SUZHV8PV1h55JerHGH8f%20tvGfcyhqF11u8WkyX28wsjfiF+WtKF6L0LFlIoAykqhijdMFiZ964RE33oz5Jbnfbi7eEeIe2R25%203RtKVilkk0TGyKMXPk7J4pdM+oelDAGyBBsaCShg0wYGNJBgDg3UQgoHCNQyQGsZwsTEoIHq0uFR%20YIb545NLurcoo0WS+QeNbpznaIqVWuplmplqyp2NkOAIIpuPGKmGmZtyKl9/9Dl54qRPpIpcqIaM%20KsV1jWK65addUunLrS+WWkisiXBpxKWdejokfL8Ca+WVYv+OCWWUkJ6pqyGYtYSnQqYdSgOGGyRQ%20oaAU5lAoud+eAQEn7bYbgYeKrintjtTyymyk09rbI5KqOntjqzkOq02xk/RL66oAQ7uIjiIW3Eyv%20yNbKR7DR0pvEfY9ai/C/ogZM6quSaonqwaAm7PHClYSsL3ryutpsx7Z+jGvDGJ/K77FFJPtsytcM%20nIwy2sLJLTl0qqtnKgqky5O6OKCrobmXxavmvDCjybPLIF+c5b5lluzr1az2jM7PGj3cw6wmx0zx%20zMKuXG/XlErpb9gKZ01z2Rkviy/dQCpbbdVWY4u1xoFfO7jdVAv8tsMj4xyxzhPLUbEJucLquNc5%20D7L25G3/Wyz45SoJuC3R6zydwIY0GM0ThzqsHmjrQU9d+Mv5svz3vRtz7Dfuj8+9O+9i3+321m3e%20nDnkm9eN8vCf29543LJ+LfHJMo9tT81ct6z44qCHvmvuhh8ucvTGJt9I9Wxfbzn529Pe/fPQg0/y%20+egvz/z7WsdvM+bI89339yAhtNIR5GlQC4q3eKIaHSQwUAuUXaK4p7/xta93vtOd2oInvPzhrXjG%2065/cMAg2xCVubyKMXPo6t77sfRCE5vtdBjWIPw46j4Jwc58JxQc8ElqveZVjoanO5g3N2e9+6vMh%20w/J2vBCeUHky7KEEiee921mQiTqMIQ+PGMUaArCC2Rrd/9AI6IsG8YJpNACKuobyE3OpEVFc8BwX%20sRhAwtHwh0oUojuIqIKdbbCOSWQc/1xoMD1Cw4gqRKLKPEgsQUIMhiPM4iG3aEdAam9+/vufHL3Y%20xxzCb38tLN8g61fIJ2rRj4mc4g0tacXa2TCVdOTkBFsZSFA2EpOPnOMmAcdKWVbyi28S4zpEkwo+%20kUtpHMgFTyKEA2QGSpkqmR0sY7lDXJYwmlL0ZBAZibbpoZBz0LRmHDPpyleG74q31GQ1ddlJXn4S%20h+pc5zTROUNwTlKRBNPmEEUZDsl9850dtCfQ8JlHffaDnxGU5B8BajaBpu2cVMxlOeEZz3FC9IJN%20LCIpI/9pSp9Rsp0CBCMwycGAWpCGXIACVxkrtIoaCGBCJZVQSqG2UjfGBpGnZKdHyRlRaU5UfqqU%20HiH3mcJ+7vSfqPRpFYFKUD6ms6jXxOkiabnNoBZ0qAfdKNk6mk2p5tOR1PPmVemZ0KPO0p1OfWpP%20kVpRi+6yiw9d6yol6lCKztOfaE1rL3XK1raKk65QxCr27ngZkIZ0G8Js3QFcU4PEboBPjCUmTEez%202GHS4LHrCKMO4FhPbG71p0q15VzL6tlQerWbhiQq/UprWkhq1K53Da1o9bpXnvY1trKNK22/etqw%20unaznL0nVweqWoyylrdn9S1UgWvW1A53jwZ9o2Zvmtz/gAa3obrNKGpna9TfUne52t2uW99a1+OO%20lbsLFd0vC2tYyTKgQQTAwUveywHOnLQGRotdfGlAX3lgdho25ShZbdtU5l6UuPIc73dfe93iQneF%20gq0uN53I4Jr+N7Bajap3L1ngUU44Eg6+sHJHW8sNCxWsDa4w+8SLYA2bc8HUXDGL5QrbnN72s6Bd%20bYeZQLnyTve8GcYtePGa1wEnGLnhVascBqjebSQAAXQyQH1vIKekjesGAwgAhqRcIAVU+bLZBbKC%20cfziv4pVukcWMJHBHE4XH7iUZQZwgGkMVxuTuKompjBCzSzkzop4qkt9Lp4Bm2K/kpm8PN4zn2tM%20Z77W/3bIaV40o9msYjf39tCIDnFSX3hjCY+Z0oaGs3n1VmlLz1jOMFYzqUuN4Y+mVw5NnlANDODM%20JftiA7EjWn+XcT0Lx9nUhf50VhUqamAH27w+zrSmWyxpJD862crmdJtbO2pQ93jYBK4zU08N6dwu%20G83aJu2mDRztL6Naz4329a+LbORzo1vaxB40s7894meLe9Luvnaku+1oefu5uRzu9L3VbW5VY5oP%20SkaDnyh0gAJEmdascMVLcU1uZ+cb2vaeOMW5LeaLY3zeFa83oQMeY41bPN7pHjnJnWvVE+eZ2mfe%2098nLPfCNc5zlggbiqpHtcRnTPOQd33mQL93dPnc13P8qv7OHUYzzgs854yn/97iNi2+e99zbMd/2%2000u8W5u/udihlsbBuYA0c71k1g6Xg5/MDppcl2PXS2c6v/tdZztj9+dFxzagk95yr1d7iVgPOsHh%20fvW/r1nf7RY54QtfcpMjPvGpNnyiFQ1uvK880F3nda9zLnmgAx7ykW+208NcdZh7WuAzX7zVGx96%20xaP+8HYXrtGhXnPLT5vvL3f9EsK+BQLIGjUKMubZIfGShktc6ijv/OhJ/3rY0xvkqVc950Xv/Ocb%20//isnz7uuU5szPf42JuP/rrZrfmmT775svd59WVue6F7//t3N7/W6679d7+9/eQHf/g9P/64v5/q%20rf//POjh3+P9HwAO3urln/4Nnc7JHeUhnY5Fl8uxn5sMCBqkkQ2M1K0FHxoQQJeJEdtxg9uVjf3x%20H/N9HPYVoAEK4OmdIApCnwqun/gJXgoyIPzRnfzRHv092I853gCy4P7NIA36nw8qoPuVoAmeH+Mt%20X4QRoAyWnvVdHxJS3/xNXdbFH8C5YP8JYRQqX/rxYATGIBHeXxBqoRVeYRceYA8O4Qiege41wQbg%20hO/VABlpIB1ywQeyQwiCWBMqIVXZoBme4QvCYAKGIQkuoRpam+l94SCuoRM+YRoe3Q3iYCIKYvJl%20n97dnA4SnRGSoR/+oSROIrxJ4RQ64iOWYdSNIikq/+IgImIqqiIT7iEgBmIocmEsZmEVZhsQ2qL0%20HSLYEdYZEEAAnJQuCEADYEgG1iEy1sAdzgNgcd/tWeIDfpiw+R0almInnuIntqIzPuMP5qJ1VWIL%208iFBXSP61eIm3mLeRaPSZeIC6uIubiE0LsGOrSAv4tE3viIh5uI5viM8dmMjeqErqiEjYqE7IiA4%20wqI53qNAUmM1BmQ9DlariV1nxETEJaNFLuNCVNg2gmE+/iNAbiRHsqL6USI+DqQ4+ls/IiQqfiRI%20LiJDlh8nkmMSvp5CQmIkquPeteQqvuQYomPlXeLlzWI8ymMeKpRJmuM+QmFKdqRHwiQn4mJTOiXy%20Hf8kUxJkTS5lVSKlIdqkJ+ZAGzYBGU2kLVgkWSojTW6lKc4eUNaeTlLlUSYkWsrkTK7kRwplOJ4l%20VUElQSalQeKjSLJk/b1lNo6kXfqjVcalXp5k7GHlXzakQ2KlYK5lDuphZErmJLblQuIRX1qjXNIi%20XUrlVGamQG0mPXIlNnqlL27gRAZjWbYmRkLgY6ZlOQ5mXdZfY4ImP3amZ1omKNomTxZkX5rmaeIk%20JlLmbQYiZgqnWhJnUPqmPSJmOhKlNGaeStImbiqlbg6lf62jcf4maZambM6ldV4nZ0andOZkckKm%20d34nSfplL0akS8xJKhCAA8Bha5LlaxYldVYnc7L/ZWHyZ39SoU864Hnm5H9mJVzmpXlup4E6J0NB%20508GqIDmZnYaJl7+WYQWaHFO43MqaIZmFmymJ2N651WGpyjypjYeaGVKqDaKaIVa6GeSJ3iaqHbS%20wFfeJ44a3IWi5IsCKIhO59d1KIYS6I9yJ4c+qIcSKYNu6H6uqIaypYsmplb24YIuKZQG5nrGZY86%20aZE2I5ZqppZWqa5p5JeOZph+aJdeXpSKKQgCad8FTWrmqJwm2Y4u5pZy6ZgaaZMeZ0+GpnLOJooS%20poNCWJJu3XjK4qDuoGO255+KZ6DWJjsWYYneaZZSKZpa6faVaXCxp4tuKZ8CpzVKaYwiaqSKIajO%20/6ioHmqfYqenvicFSoMr2Oecnl1+kqkIVuo4smmboqemKuqiquincuqaXmrbuSk3+miaXumtgqml%20KimmTmhupuqj/mqiauKkSiuLpmi1tqOw9qomciqwkiiEOmux6mmQQuSrnotYritkzSqt1SqvLquZ%20Nquhqmq3yuumnim5lquX4quvymhs0uhdJuiQ1mu2CmqpBuCqYie2Pql/bqukjqvBOuxkHimhFuxN%20Uiy0Bmej7ua0Iqe3ciu4QmySxamCrKtYEoW7Ohy89itl4im/Mum5XiyPNmyyPmzC8t+16iozyuyb%20IinG5pjG9mbOeqPEZuzNVuyeimuhIu2zbmx5Ev9rzCrry+Iqj7aqkNYsz2akuf4seqWr06DsRD7Q%20yqpXy6ppyBbhyBZtVC4sxwrswNrr2nZn1tqpzT4t0dIt0Gqt1OKhsUog0wZtVx4spOotzdrt1s5j%20wGLt3iJu3/Zsc7LtYTat0CYt1M4o434t6YSt2MbEMZatB9ZpA06s5eatxf6r24Zq4oZouNbt6Dpt%20njao5IpuDd5t7PrssSLoqJ5qwNru1OKs4aIu7zKqejJrrj4u5Gaqv36rvpJu6Y7ksO6r33Zt7sLs%20jaKGrPZJ710gw4Euy9LuEcItjMpt88Lu7VKtUVqtnWau8N5r1Rrv1W4t17ps+sLv+spviEav857/%20L/CerrUebeXirbbOLsHyrfQmr9LObPvuLPIqLvGOKJzCZxMsQEXSAOq0q/eGbgE77gHPL+4CruvW%207ur+bUgGrgHv7+8msNcuMAAP7tAOcPD+L+W68PMibAxzKwN3sAN3Kv7qp7Gp79z1sK2+77weL7le%20bw7M1LnIVwaH1Nmib5PC7K7K7g1H7AwP5wvbsP/icAtjcQ0X7hZbseB6sQBr8dKGcPhSqv0GMfJ6%20MBT/8BrXIPvK8BgvZxaD8Rk37usGMP+qcPVO4Oa6odmhTtM0cek8sfIScb7Sq/mm8GWmrakOb+vq%20sQg3MOuSrMIOr/428vRScRhHcg6j8BR/cAmj//FTjjD1gjAlp7HvjnLkVjEod7EdfzG1ErAOIDEO%20FEAANECEJMBhGbITg+8pWzIJB54Uu3Ii128Rx28b5y8kZ7IkY7LOyjKgEm4twzI0hzInI/DlLq4Q%20x6sit+/cfnI2U7OjWjPAPrD46q69ajMfO7Lp5rHmYiQHoJFYAh8wH7IwD6godzIpG3OwujMNlzEe%20KzAdn/A2u3H/yjMLX/EsE/Q1k/M0O3Q133FEM/RBc3A/c3M8GzQXU/Q5W3Q683Az+3D3AbEciyku%2044DRTKTa5bNCIHI39y4qezJGf3QdVzQtj/QkH+4eD3QfzzRJd7BCC/UmvzMy+7Eq+3Ql6/Al2/9y%20O5vziaIzqWLzROd0SO90VUu00YL0VIv0Vt+0wZlsEwhAWHoGBnNLLsCEElvwlnXgFkzZBnAZQcj0%20Iy+vyJYvUif1XYcz8zLyXvvzG590HKfxHOM0Qgd2UQt1Tzc0Vn+1VqeuN5f0ECvzIhvxRnM09D5z%20IQI2UAd1i3K2Pur1Z690DpwCndCneiUcRVrZBsjXfnFBfs3XBhCf1GzwT5MxaMMwV7etJou2b0cz%20VH+sZNM0MadyKa/yMDt1Me+kKfNzQu9wY2d0bj/0bpuxR4txYn82X3f0ClN3U2e2dEuzHZL1nLb0%20n9iAZXHAejPBerc32O2znxbvMt8vZYOzZYv/M2nr9nUv6lFzt2AvdHbHsld7LFgX91Bn9mKHNl6r%207X5bd3+P9H/zd3fztlgT+GMbeGQLt1V3dYbXKDxb+ICjgWmT5UtMpKxiCIKowhaoeGu09W3vrvvm%20919jdkIv+GY3eCSP84WXc4GDeIVj93cjtkZH91N3eHALNIUHuFInN1Ozck3/s3MrN3Qr9ngPN1X/%20to5DM4+POBuad44SwEsfExvFVA4wE7mMOYnLd7RG+Sv39uR+eNwSN4JPN5FXt05DNE+Td5JLtYbr%20eVh7uYdv95JrtpD/sQkXuZUfOZyzOcO6uYAPuXYrOoAbekFLeslKsJya9RagEU+obA54eqCA/3qM%20R/WPz3mWc3ij43Z4G3lzu2VA+zmQMzlj83mcEzqEB/mlI/pzz/c6s3Oqdzmm+7icjy+dq3qPXzWu%2053mE7zmWH/iMRzFKG7ZKg/l9JhwBKEADZK9+lXmdMEEDkQvZPhOrQ/lx27Sg9/mpG3uwPzizNzuC%20T3iu07p38zqV+7oa1zcbE7Uzb3ln27hi4zhg+vtoe3ahW7qEA/deuntWb7iSzzvCOzuSN0GJJyN6%20b0BFhgvrXIi3f262OPrb5vtlMzO/m3T1HnPEB/qwKzulH/yVTzzIq+65SzmsJzqeNzy817mtxzyq%20QnqTA7TNt/qiv7p79nqbz/ybJ3t5azqOnv94ZwRAhDyNAZ1suWRIqR/7w7+7rl90ut96y0O8wO/6%20Ujv2suN8iB/62IO3uTM3cgO90T860ke6vT/5cos3oyu9uhc7suY8snc9zxs326P7yi892HLBq33L%209pbOWXuuGRkKoXh7ITcBu7jLu/y9OrcyvYv44Od92UM2oOv8szu8rKM6tAv73JP912t95qO9k6P+%20zXs+35t+2t+50Fd62HP95nv96/957DM87PN91pv91kv8qt+ytecAa3/Lwtk2njDAAThAuGyAAzg+%209euA1EcNuct48P/+8Kv86at93bt620853Ve57b988Zu63gN76fs+7wP/6LN7+xs82N8+yBL/fHDL%20fuuDv/mDQCaOpMidaKquLIe9cCzLV23f+K3tfO/7paAw0yoaUbPkLMdk/p6/oXR0rK6UWFhzW4N6%20eVOptQoAdDrl8amxabdTg41ATbc2Au0CCv9GuQNGfBspf3VFAGpZWFxcX15hYoZGiouMTo5QkEKS%20R5RJlk2YT5qbnC2en6A4oqOkJKZFqDSqq6w9riWwLLKztF22t7gmule8L746wDvCVMQpxlrIF8pg%20zM4q0BjSv8rMw9cu2dvUy9bgJ+Lj1N5E59na0uQa3ufo0NvT6/Tu6cjy+/yM4SPHrt47dfqEOStz%20Jo0aAgbmcBhESEE9OgL4oDDghlAbA0Y4//Y54QbkwkT3EAIrGFBgPILmWsoamFChzJkva7q62M+f%20zp03UalcGRNcT18wizo7mLOb0qUpm9piafSoqn9PiVm9+pOUwa2WsNoMSomm06ywmPrsColn1LVE%200ZpSizQproVm0CBSQ5FkCgYbAF1UE6fvgo5+2iwwcnjkRMXX9loBG5ZtW7JlpU6VO/dt3bNjr9Gl%20JfbuV5eaRVEVTbmRXaCYs5iNGxqqZ66Wp7hFDXczZ0mjcYOGXZX3Z9qmixsXjtzraV6zfdfW2npL%20aeKslzNntdq29sq5I+liqJfOBgZ+UhBwPLjKBpMcBCAm2UZiC/mO3dgfj/I7+ObOKQddav+q/Qbc%20bdsVaGAdwYFyXYACCjUUdwBl559r4Q2x24AEOtIddQj+B+BlsVXS4Rcf6tKgiNJh5x1OJz5S4Ysw%20HjdiGBvWaCOFC9KxIiMPapKjhDFmMiOIF1r3GoSmkOfQGAQEMIBfAjRQQBuCtYfCYRGtsEEDKVwp%20R2J6oCDAlQiEWR+Z4EhWRXVKDueiinBekmEpJSoRHY/T0RkikEsK+ZyOpN2Jp4Uc7sjnnH4mqigm%20KaZVZw5BkhihJ3sq2Kekf2Iop6B5plJkKz32l2QogVqKKJG9LcpoZ53G+amqNGI6oabJrcpqoYbm%20QoyTblbBhhvEupGmlom1MSUKA5SJwgH/bRxwArQbSIuCmBscywG11nLbpqmEJgjpkY06Ku64m3Jq%207rkokqvuuiy6CuqlmY0ahbuwnmrnrDgOuiuvN/ZLb72PopurrgQX3G6pY/zoacDiDSzbrQYfjCS8%20gPb6ir+22gsEvpw4LCvEGnKcMMAtvhrypLVo3Mx4eT0JZbHF7qclAsQ6gN4ABNjMQRwEnMDRsnsU%20wuwGQXMw9DnBThLryPLOW2vHCi9s8cX/sisjw5OxnIzL30hsYqu4qnzg0/uSfCjCimRasdmGiIwq%202O2EugTFHoJ8tr6Upiqw2HribfXV74Ybb9lST9224FunuzLafdM9JNVVG8n1m17bUOnf/03G3HQV%2069EsJbIqDCAS0ggQvUICCrShQAIrDBCAmCqw7jrsTIObtYN018324mQjTivWlKMc9fCF754xv7qZ%20DHzweV/eSebcMB/x72NXTqrje2P8cMqJE3+y1pZzHzf1+Uju/MQeByO905C3bH3JdvcC/eBwM4j+%205s3XH4Pb0TOf/uL3tfmtjRPAksQAFMAHAuiMdBCcSJYi+LlTELCA4Atf8orHO/X5Lxrtq8b7YrE/%20v/UPcKK6X+MIly/vQe14J8Re4EJYjhFa8ILVU1sQJje+Dupwhx8Eofa2l78BuvCFb2OS+Hq4vB9u%20LIjwoOE89HY+HKbPgECEIgDxp8RyGf+uiRnkHAI9F8Ey6kI+2qKg7jjowzCK0YvK+x4Mr6c49qmw%20fCx8HN/k58SXofBuUoxUC78oR+G9EY5MBKMhDznIOCIxicjb4POG+DEb7qKEHvyj/SjpPgH6CJNY%209JUWGYfHIq6RjYpcJB2XaEdOitCTp0zkIwNoSiMk0Iy4NATOfIasCl5yj3yc4yolOUnylVKDxMye%208VQ5zEaispCQZKQzi2nMe1myGFbkXzOn2cplRlOa3SPkLLkYSW4qs5qVhGXDQNnHsMkwha6soTq7%20lk0TblOP4hznMZGJz3ymzY33DOczoUnOcgp0oHML5RNhcctcOrQKcVCdGtcJTAwKk37/74QnOtNZ%20S4oeMaEADagRPxo5hfoxo5v0Ji07irl6ZhKl/yMlEVk6PZea1J11PGcbL3pARMoSpCHtqU+7udFX%205vGgP/0nT0WpyZgGkooj9WdJ2+k7mAoxnlO8JjbYGdQsMpSMDw1rEQiAO1z6EpsknepSmZpTnaby%20myKNKkKBykyMtnWGWM3qUZFK1J3WVajmdCtBCxrDuwLyjjPtYjIFq899gpOvjG2sNefZ0ormsKts%20NWxKiyrPvcp1rmpd60k161TETtazn7QpVXlITb/CNa6xbO1bV8pPNTSUBbIb3WNoxtsCpFGswLXC%20Wbdq2cv+1aukLa1KaWtQyOIVq4Ls/6cj6XrchVr1GDI9LU3hV1xt2jW52H2qVp/BVdHilJWRpS5z%20m/vZpIa2uqNF73OXu8LtklC1mLUueKNoWo7a94bdted35atRzuoVtbHt62wJC1tbgrUFfBAMbyfc%20hqQF98K2TPB8DRxd5274cK8FbGAL7Nr1Pra9sh1sfWvr4cNCF6qpDfBL97vFFbMYxQpWsWMLS2AX%2003fHPF7shxds4xPjeMhETuyNY5xWi5q3qjTOrn8VO2ISJ1nJRmbydNXL4AbTU8Y3hbIkbruCCNOH%20wrxdDIbXvILhkre4V8yvfoeaY8lqd8laBu17TRzkKvu4xHweMJ2RrOM749mjTdacgP9FLF337rnL%20gvbzZkEcaEa3eNKULnKWES3VYD6ZtXW2cycRzOktPxrSyI2yeClbUzCvdn3pVWqILX1kQnMZ1Zkd%2084NxGwDdonnCFmazsN2MBCvG+cliFrKVC23oTZfa0Z6edaoHbWtZS3vO1P4zoDXd50ZDW9Ez7jGm%20rzzlQ3850caF73mzPW5mj/q/v3S1nNet7HaL2qjwRiu6j/1pWFfb2rjOdb3tDfCAx5fdyv0xlp1d%202X17l9Zk2LV7eHmfvgibzcS2B5wXDXEN/zva1z74wK+q8GYzvNUO57jARx7e/r6byt5O8b3xbe5z%20m/rUQPZywzvtZHUnm+X8ffF4i43/336PctWktvnNex5yekua5ByGsceXPfPOwjzmscb5wrt9aYJr%20feuRpgOZzwGYi1884+HYeO/8/XGmV3raCIf6tnMe9q4nfO50hzvQa5x3vWM96243uNP/TvWqd7iK%208jZ6U+We6b6vnPCFLzi36273lgud1dxNebjjbvmSl5u9edZz4Cff8al7/eufP3nmeQ7uMOOlIWin%20g0icZXYMox19/G764BGvedezXduNBzvlax151Kde5zsX/eiFX3qlKz/dugc14Jdvcq7znvXQf/vj%20IX96kAt+98QHvrtfDvrQy9zwUn/2t7P/fem3nfrHR/7ql976Vx/d5TSvOcqxn/vo//9K4tdgLLWH%20caZ3d3hXffJ3X4nnc+5XfMaXf+WnfucneY4nck/XeVE3dBq3gP53f5eXdMn3fP2nfdi2d1JGfhHo%20fOs3gu33e90HfyioegrYe/a3eBh4gPE3fOY3gQ8IgdZ3fSLIghVogZV3g+SWg35nWwDoDFwygAQo%20gdNXf8jmgi/IfqSXhEXId8yHheFXhUI4hD93gUHneTH4gzsYahS4hSUohlqIgDpYgAZ4hGX4hnBo%20hHJodVcHhCL4cFzYhYx3hweWb8TFgSRIhFl4gj5ohnVoh1UXiPq3f0GoctunhyvIh5MoXEvICRbh%20hLV3e8YmiWtYhGOIg0h4iX7IiP/op4FpR4gt6IFkmIgJCGA0OG9hyH1xCIiHd4qomIZu2Idn+H5S%206HO1SIk86H2taIOjSIqwSIcqWIwwOIfN14xRaIVqGIrEiIY9iIcpKI3ASI296ItQOI2WaI2YCHt1%20kADYQjO/xYm2t4htWIqmuIjJCIiOuI0h6IzPqI32OH97CIrgp4vvCI3RCIn9uHkmiHSC+GaseIXx%206I6IqI8yKIv8N46GeI3d+IXf2JDc2I0U+Y+/6IDGCIbDqIvzOH7LCI7hCJL5WI/7OIMT6Y8jGXHm%20qAYZ8WvseHYOiZB5SJIPCZGxKJGRuHZQVJKNmH4pKX4myZIRGW+zqHjXRZSpiHn/Lkl/3piRFQmQ%20PZmLH6mSVQmPV7mVXoiRXvmVR4mUt8aQ5IiVOvmIU1mQvueKGSiVQOmWNdg5MzkGOINmE3STF+aJ%20ahdmMSmPPamUP8mUVNmVJ4mS94iPiJmYaQmWt5iUWimYUkSYzLiRZnmW1UiWmJmZ2WiZA0mQjNmY%20oBmabVmJMNmAnpmNk1mWXtiRgZmT+OeThTmITcmAVPiHkmmUi4mNIQmGr1ceaiAIvSVRfAlcfrlv%20YimQiimaowmbqhmWMBmbnfmaqZmbu8iLzKmRvSmO1wmXykibl+mcvrmSpcmd3cmVpNma1RmZmrmZ%201Nme2cmavEme3mmQbJiV9cmP/6iJn7aom1EJgvbJkd/5VXdpBV9yAguwHwtgnMcpVsnJf8vpmI/p%20mu6pndvJmfIJle85lh5poQCKoRT6oSDKoSJ6nujJn89ZoE8ZkCNKoumpntCJnSZKn6ooNyeKohoa%20o9IplMhYo+a5nyo6jRMqnqY5l/35lsjookbanEN6n0pql8I5BhZXAPsRAOjxoH0pmx+YkES3kMBJ%20o0yqozv6pATqn4e4li2JpCuKphapnkVKpjA6oDLKoqo2m3Ian3S6mkGqiqsoodNJo0AajLgJnsFn%20lWV6mm0apXfapTsJmRf6mUKaAmNnBLQnO8vCBuuopQ4VoYcZp+zJo9bppmqJp/+huqejyqjiFqk2%20KpeGeZgzaqi4OKmvSpe0GJ2s+puIOqdmWqekCqnzqaseqqe9yqeE2oFLqp83Wl6FmqxqupT69pK/%206mAHWgWp4wDVojTFspec2qlc+opNmqKKWp7HWoi8Wqy5upKniq7pSppyiqsheqLrOq5QWpeNCq55%20KqiDSau1Opqgyq+2Ka2qynmDWq5oWaEbWrBx+q5iqqyuGq2waqerGq+tKqDsSrF9+rAcUKlFUBhI%20Ex80063I+a1xabH0eqYDe5CmCrAKeZvI2qIOa7JsSq7uyrIt+6mBOpT76qe4l7M/urMaG7BBCZj6%20Wpk2+6WA6qNPqbCx6qwru6z/RdesUiozVhA6gjEsHyGyEEqy4ZmvOmu0PPuJSrtfTCuxBDum8zqz%209XqrDfusiliiZTutJYq2R/unAmuvExus6lq3OCqpYfuXVEWsJ+urKZufblubNxuxctsCHBsSG0A0%20VvIewIUfLGA7G/A6dGC5mJs7cxuzXrqBLmuugju4PUq0X4unDCuruwm1YAqf8Kq3BiuSRYu6dWu3%20Qxu4s5tXtduzY5u3sLuwuyu2pvuzYBu0ibuC/8q6oXuMUxt7nEg7pfOx2uqguCW9S/MtnXu443mx%20v9u0MKu9R9qvi4q3Z+u5j0qZtPu3yumzSwu0Mqu2cMq+ZOu+nwu6ONu7BBu3/4X7n7+bvMZrv4q7%20v2n6tP9ru7bqlGNUraZgAGXlUK3DHt6yLdFSBREcwSeRvQT8vhB7wFJ7ryVbv30rrB76ugrrvxos%20tBz8sh7ctWkrvjQLvOqbtMPbvsV7wijsr/Lru/pLvirrqGwJv4TLw4abwSDMrCqsawpsBBanAthK%20caSDtUssJvaRB1UgxWwSGVx7qMOau/iauk7rw2vqwmuLwL5Lt8p7t2yrugFaxFF7xOULvk5Kuqkq%20xPxbwjmcv/R7vlk8q2ccwHQ8wGAMrTc8vmlsoFOKoEq8ibiUAKdjcfhhcfphBI/sEWNywRtqxgUc%20whlrw8eLw/gLdDtcyN9LxP96nLB5/MNAXLq4e7q6G8P3O8PzW8P1a8CeDMs6fMphLMbx+8liGMpk%20/MakjMobnKR/XI6H7B5FQC0OpQfEkgKNAcmQUQTPTMlq9it7vLqZbMSiS8KYzMkAnMLb3LbBnMuD%20/MLeu8JanKGJmspzLMrozMfZ3MbhrMYdqs7nys7tCsMFTMsvbMJs3Lq7ys3mK8zlPMYdjMTHvAKh%2082vNjEtd0tBCMx+7BR8scDqUTNEMdc1rXMqims/nXMYDTc6dTMi/3MP42sLDTNIHDcyB/LamLMsc%203dH9e8egjMuCXNC7bMt4DNMEjdPGGrvwObq6HMTuDNJwLK74jLFA7br/l8T/KvDMDB1sEOQAYLJb%20VSrRRtMC2ELJ3IpAGl3PLyrUKW3OZmvSHxzT3OvLK23WLMy32sy874zN3szPZL24Mm3HvFzHau3G%20bJ3OYc3FBubFo9zSiIu0aFzSQ0zY2yvHHl3WYpeJ0cvQ2VpGB6DIEG3VlLzEKnDZl53RGKzY4TvW%20Bs3XiX3Sbi3PcG3U43zThu3HRc3Spt3H4JzasH3WPd3as32w95zUeK3TNc3TIj3SRErTvWzTLn3J%20Ic3a30zMr10HjRvZFFYA1DsYDEDRnI3VEu0l2M0eVQABZfDd3x0BXy2vpw3QIyzOoB3HvL3X8/zF%20sR3P5m3PAn3UCHvX7E3b/30Nz3OtyUsd0Oj93vv91rot1qKd06tMvOm7z7zr28UN3IL83Eys2WHV%20JckCzfmR3Zu93RI+ZuNdsf+8vAM+36t93Kja2HZd4jOd16Jo3IWN27V84DSc4HNN1xdJ3HrN4ovN%202CnO4Dfu4CSO4r0N47Es47O84EJ+yz5emxCuAlIdVqmT4Y4hCFwdCNvd1Rz+2QD+4Ye91qVt28G9%203CpN2nXczVru2og95sn94zrevY6N5vS9zkP90/o840ZOiwQu3KPd3oOd5Wi95vcd4v/t5cpN4yhb%20zDKZ0Dcp2RF94ZJbBBadLBjdJB0uwn/Nyl0cvIBr54DdtYId1xt922Be1/8C/KZy7s99vt44HtoF%20Xuo2vuJJnuO8TeanHuftfOaAzOegTuhEbeukrsqabumBDbBLTpMbXg+KzgHTnCzVzALJfmbL7tnI%20/ea7vepy/tG13dayzdy8XqrpjdS0buKjzu24/uW6Xu1tfuuCruao/uqq7tO+PoXAzumYvr4q3uu1%20zuVuPuItXu73LuZjMOwpcAALzVsRdOyTnCxODLKMnvBiN+l7m+1hrueeDtbhWt9A/udhSs/kDfGi%20bujAGuS/juCtrODCe+Q7TeSz/u07bvK/jfK5zu9K3d/2fOcuHvH43eXYDt8gnvGGTLVHQC1oFlad%20bcX0QXtnki1qUsmPQXv//IHl6b7v/F2zrny7IR/jI0/nJV/1Q371RZ718C7ylz71yNvq9g7uHu/w%20Ml/pYB/sYv/iWo/kLk/uML/yb3/yXJ/yGwvZLDDwEyb02V3BE3wtAjgtgW/B1uz0OR/gqA3oGu/h%20eI/nhd7cOO/XFQ/n1N7vEq/a3W7xaZ3q6h3raQ71As7ze/70sH75Zi/5+b75lu/umH/zqz/ugx71%20cy6IAH9mQf9Qnf0z1vu4KiAIEwQ0ET3dVx7t+n76rp/62/7xsp7rtG/t+S3XZZ7bpD/xG6/zW+7v%20ZU/3X2/1YU/ymd79W//9WB/+wrjplF/5NF/zw13vPMnun38Ct/8YVb06/8VOOrvPAZrbwCcAAkNQ%20bBt3nolSKgn6wrH8ArOM4bm+65f/A4NBDbFoPBozyiWz2bRBobzpVGgVIrNZJ9cZ/d6oYsy1/NOi%20id31Euw+jcfmcjrNXr/fceqcXt/edeWB7fH1Yf0BBj4NfhXyHFolIi1yNUY9QkYCTVJWMl1iZuZs%20DnUWfTKGho3ilJ6doqYqrdq0ur76xKrN0tbG3OK+7vLO/rKO5uru9voeowST5RJrND/DBCtfEDdn%20XENnT3P3PgMAdHSY5618t19vBLhH1biFi8d2u0crU1vr32obR67dvnv4BhIEyI+Zv28FhwlMJc8e%20xIMIrz0s1e8iRoUGO//lS+hRY8RPE0eStGhMZKuFDFeyzBTwJcyOKCNtrGkzmctTIR1S3JRT4jFz%206NS9EbBhgLymjZQicDqDHqGbOGkSBWq1z1CT/1r2BNlwJ8+KKr3GfDTzLFqyMj+K1fksqFCsbefS%20PdS10kmwcBP9dKv2L2COeP2ajSv3V8a6dhf1LZt4UuDDiB2zhfxVckqfYy1zvvo4ULlz6ai6EXFA%20hlKprk8g2CDgNQzUoi5jVpxVcKGwuvlufku4TuVjjUVnJh188HA7n43n5VoSeNrevgsbZhx9zl7N%201fes9Zy91nG9071rDY38N3Xe4Js7X6wd93rKz+fTlz76TmThk7HLt0r/efolx19RpiHlRgkLMsgg%20bU4NsNSDNOixFYHsoQeaf7lhaOB3cYTXoYfugQgfGvfhtyGHAO6mIXOdideii++ZqEiAoQzI3XnK%20fSjHdX8Ul6KK5u3HRn8vwmjfeAJuZ0Z3PKY3JJExyigkkvUpWaWVNP4HJIpMWujkjiOuYtRpeTSY%20ZgkTykOAC2yeYJsUYYpZIJnQ0XnFk3fiqd6UIhrZo49denkjjnnqWWSgUUqpo6KCLGddjZ4seSii%20iDxqSaRcJsniXX366aideGxa4qRHBElek35k6kWpgxIan6GN5FjnqJAKasipSXxpaX6iUtlemQjK%20CYWaacKZbFPFzrAq/6vBCgtqo7ZCCyWJYoSYpZZg/kotoLgyKmmsJ/Z6Sa3PVsvnlqaOq0Wq3Ibq%20rbbRSitup4XOOsi5ibaqSricrojvtr7Gi+63muZaxY/ElUurs5KMuei/7N7LcKXmPozprQjXYmaC%20YBzboLIjf8MsMtPKK/Cn61KMpacZztiyyxbnm8e+EPcLyqvYLizrwBhfakrObeysa7s2/uxw0JxE%20TGrCmuwqy8VKd2vwvDDXC/DMPq+s6tKwDO3MxLBWzDW9XlfN78auPr1Dti9jjXbBaqcr8bBHmSyD%20bDa0RrLfHVeYNt1Xxw0vyoMTrq7cV25N7tT6Ziz02v5ea3TZjtccuP/gGtft9Ng8R11M5vVEznTY%203hStcOjVNAz518ucfqS9AdOctOubS945uJWrfjSlo1f1+jZN7x4z2bSbXTjBh+M8uc6/eJz339NP%20KP0LpZuue/EsH//nwWx/bjnymNtuM/awO0902z30TH7XhjN+4feUGw+676i2br7we9pdv/iNuyt/%20mptb87QHPt5B7X68epz+cJc9A9IvazLzHtysJcEJAmt+zwtf7y4XQAYOkHmc06D6OkYs6qGQZNYD%20hwMfmDjFLS9+GXyh5xDotvZ9EHiOON/wYpe6BHoQae+L4ewoWMH+XdB+Qfxd+UIow5SpTHlExOAM%20oyhFqhFwhDTcHvf//mfE2g0RaC1EHwQ3aEP2re5dU6Si1Y5YQ/91cHw5bCLp9kc8jt3tTINIAAJI%20gAIDzCaFgvzCCuEgvB6W0YxJVCIA53i2xRXxi8mzYBe9WEUrwnCNjGwkE8OIRRHmjoRiOyMpcCjE%20R2pyk/LbIh7hCEQ5nvKKt8tiKFl5QFfeMI0CrOMYEZnIUeISjQqUmg5v00v+vXGRceQk/kDIS1q6%200JYRbET0BhGbBaHgAAVgyiC7KYNCcoCHvpTmNOEXyUuCUZazfCIUJ5nJT7ITcW7kIiS1Jkn3oVKM%200ARb+oCpzFcyc4HFnJMdfbi+UurSmcE75h1v+c9cDlN0dFzoPsko/0rUHVQYEWWdQndY0H5ilIMA%20vacj8wnPc7bTncmk5gnf0ACRoSBCgfQmTTkATnE21KH1tCc6VUpPc7KxjelUpxNRKtShvvOkQZUn%20UpPawIqOk5wlJKVGl9jMgdqCh8j8aSqXSdJYUnKnS9XiPFv5UGFaVaAT9ShDDSpSiKaVmGs1JlS3%20atZKjnSVmHRqUXmaUnyGdRDVfAMBAHkCE7xgAwqoaU1vesiclrOrXu0pYPna1+59tZMmXWc8C3hR%202fn1r2C1LEVBGc2y6lSsqtRrU5Go2tWKdrQrfe1kKSvb2Uo2r7HVbGCBilnW+pSrSh1rLVEb2dyi%20FZa87a0+TcvPX/+GlKrSSChWm6VVyE41FINVUGJfwAB4MJamju1lVPfqWt/+drdX9eRwYateubL3%20qc61qFT9iVe4Kne98b1seo8a3NSi15K2XS5p2VpX7NqXtrp9r0T3+8z5lte8wm2vgBnM0eqeDMJ2%20BTByEbpRNTa3s2SV8F0VjN+Awnez8hVxcUnMYTdsF2QMQAFiT0CANYW3m+OFaoT/+2LOGpWprZ0w%20kInbYh8fl8IVFjKSs3tWD8e1wSrmr3uZXNnzBri2FgaxkrVs5ZIyN8Sh9S+Yw1xkIz/3sz88cWb1%20O+UHs/i0Lk5yl9kM3CtjWcxj9mx9oxtMKOdXrQ4ubZzT3OfS4C3/DwQIADdNIIAGkAC8OR7kjiHc%20YzzjVs9opq9xFfnkqgY6xUSFc5D53Gkn3ze5KJbyqAld6hEPucRZXjCZb0tkKi/Z1HP2dKoBveoL%20z5WgbQUpaDfN6VjLWtP9/bKtf3zmKjPbza02sIYR7OdPT/fDu3T1nmHd5ATnIcZfeGnINhCVSQuy%200oU29K55PWta6xrZdH52ruON6VuTuttH/va1ew3qX3OZ3vXe972dvWJ9E7zZBs+3sTc874Mb+9Jl%20LjBdq+1W6b6t3ah+t50tDOw3Mxza9p54nuvc8Vor3N0c93WbBQ1yaq9b4iTHtw3E/YUbh2ym6Kae%20ul/t7ZnTHOY+/5ezvFXe4X+3XNRmhnjDrV3sZUfb5dOueMwdbnRlDzzhBC65wL08cqAvPORZJ3rB%20wy50hLNb4/02saqTzuql49rrPwf7w+N+cpRLG+5iH/uxi77xlSP9znSvO7ebfnHttlTRamL0ztNt%2097YLPuVX7zq85y55cB8921H++MupPvS0+x3zWJe75fNOcWEf+PDYznjoRU/5u3/98msHvOZD/fbT%20Z/Wj0H26yEsvdb0XHuq+/z3XX8/yyG890yaHvMe3HXy+973shD+74Yl9oEQ3YgAKCEAJCOCAGTc+%20hT1HO+ilP3mmC1/ryU/26Cs//NsX//HMx7vplb/8wA+4/vZHf//vyW5+1xsf/m2Z83ke+cmc7PEe%209B2g/gVdAVbf7q3Z/NGf0uGedememmVU7QEcAaKexVlfBrIev81e+7mf/w3e372BzYXfCsbA+EWc%20tY3g/Qlg1BHf/vEf6alfDdrg3uFg+f1fDMpgCP4gEN5gD0bfDyagER6h7BGh/B1f83UU9fWfCa4f%20+wXgDMZeFU6fFCogDEagBGYhA5odFyrhAupgA3Zg1TndF2JhGFJg/PFgCfrgCQLgPCQeC+JhbTih%20Brod501dGn7eEiIgG/Ih8onhGAKiAVodCpIgGLoh/O3g80HfItbhHgohHVaiJCohJTahJZqSFm5h%20Ij4gBr6VI77/nx8CHxlu4hqC4CceYijm3rBBYCtSV7DFYup9oAlh3xs4wAY4AAw0wALk4d+4YPrl%204BtGoirKoSCCIiMGoSueoRUW4TKaYTTC4i3GXDVCIhpioxqqnr8VYv5Z4zVmmDfmIsZBIzJyowXK%20IimiYy0OmjLC3imiIhzGoSke4zZK4x6G4wSqIyKK4hTOYTM64zTOYz7qIznGyR1+wQFg0wsIQACc%202zAqSzEKJDOO4/nxYzr+o0ICw2OdTidqIjVyYhJSozbWoz3KIz4OJEGK5EiyZEtmZEFu5Oqk5Dqy%20o6V5YQb2Iw12pEZ6Ijx2XkBeZEkS4iUyISH25CMmJFDe4xMO/2AUEuUksqIu6pEbrICkvUACbMCb%20TEgDGEAJSCT4xYAKsIBXgoFZKhZalkNQaptUdmMgouRN7qNbbl7AGWRMziUHTuVJ7mQp6qVR0uJb%20YthHXuChHSVH0mVdwmRgVuU7EqYt5qQHziJgtuEp4mVNbtRieiQ2gCRIvaQDGqNMzmRotiBDRkH3%20rUYMKNaECADOMUgArOYLRAgBnEBYctMX1OZtSkjJ2KXtcWZnslA7IuZg3iVfTqY5ViZkHidcJqdc%20CqZlLiVTZuZTQqVPNiVN/uYGOmc5Qudj/tllImR1NuZ1MmVwaqd1TidmIqd3KiJ4rp5ikudKmic9%20tudC7iLI6P/cVuIYbQSAMHJAAsBmAcCAQ27AahrobNpAgp4Ag16DRXZhSCqlYqJnJpbneo7nfXrm%20YZ6ahdInhlLhKzrlh4IoRpamSR5khnanYRJnh5pmX6ZoiJbmiz7ne34j29Une67ohrao2qGoXqLk%20fIpmUcInOCKlS9Koe45icVrlx3xBjcFARPanaxhAA3jXgsTDC0TaTJUAgUbBltLYBnhpW6rnkYpo%20epIohWooj+qkhPKkmu4om2bjX0pXie5lnF7PZ0JXkrIoLi5neNppkK7pcPqpOwKqmc7ohNrkoBLq%20nLqpdNppdDIncAopjMaoif4kmn4TakKBARDAbDKA9i3ImCb/y4LkJgcoxZQuyH5G6UMeVgmwqnZt%20Zx9Walza6Dkeqnwyajhd143SHqJmqqZaqmP6auYBa3YKq60uqYv+aI6qaGHKqXIaanwK5R8q62hi%20KrLyaZ86Kmgq6mbuKq+SF50CaqQWqWBxqg1ESLlNJJzERgEoKAcsgKtywIIA6AzMq6qWwL1Cz6wa%20YqK+6aLiaaPKpaAOrLj2aOs1q3jKaLB66LA6K2k67MIGKrlim7kWayNGrMRW6MNeK5Fm7DNWayoO%20KVWG7BUea8dua55yqI8m5shWoJJi651Cqwp2ashkKZuEalgyHgyEpb5ugAHcLNAKLZleaMrWao0u%20q8saJ6Xu/+rN2OfBImybemvAgqvU4tSj1imcQmu0GqDBdi3BfufJ5iXDcmzSyizI4iq1RmY8luwq%20kq2/iqPDrqzY3uqfXoLNQkFWNkgBxKprpIkBkCUHRBqUYikUFG5iieWDym1Uhq0htazCvmzbDuXH%20muzaGqmuHizUImTHUizSPm2vYi6Omm22oi23SiuTTip3Pu7UUua0Zi7MquTbkuS5/qrmti7nNuzE%20Xt9V5oEKcF/QWqmyMEC+Hm6YAi2Usia9OojRfijobq7o4m3sUq61Ku3MSmquym4y0u6l0qxkXm+E%20Vi2kci34pm0ZWiw4Yuzo3u724iTqji37Givumq/X3i3skv9uxWptuZav255mfuKhlC7IRDbvq07p%208ibvIECAOTAwA0dA4/qjyn7r5nnu5DZn7kov/rZv9ZIsxJZu9rLtBdcvyyYsv30u/fqv5cKt/Gps%206YLtCNvt0kpu07IuDENuCSOhBTtt9EauCfeuk0aBCPRsCqXq4hqw4dIrAiPxAZcJBGPn6dqvDPsw%20DdNq6PZwDlPxv9LtBANnBWfx3Gpr3d5woaqu9nJwzMLv/ZZxCO8wBl8xJp6w+zJmmgps67puwaZv%20/q7v9KIrAEdB8OZsCvWiqwbvEgdyDBSy4mplv5YpCldu+F4uH2+wCKcwJK+wJM+vHAOkJddu3Day%20JgvnGL//7hpTLyU/8vlesgZn8hnPrgfvsSq3sP6O79bWsQ2LMh7v78X27ynjp+8+qRELUhHn7M8u%20cdHOADErsjEz8tE6svWiciezsMiyMve68i478zMDaR7T3iuTcv5CrxvjMBzrcA1XMjYTazSjbDN3%20sApDMybH8jfbsu5yrBdLJzyXcxpLMRY3KThxQGx8nzctyGKdgPEqMr/GAEEjr0E38SdP8/tGMfba%207iqb8jU/tNq6szRP9DpzsveCcCm3cTxncDdP8kffc0VHMixjNEnzskmnskhLtEpTNAmTMbOOcxXz%20cDgPIvSk6wwwgN/+TYS0qwHnZhEr8t+eAFEjr1ELlhNT/6cV47RLxnFDz3H3nvNFpzMojyhVb+z3%20ljRLe+8Ld3UMQ7QnMzNWJ+tGVzVKX7VUb7I5b3VHe7M6o7FXc3REv7NctzI71zVZb6offwECNACr%20cqV/dh9tFraWwmqYkqoAkEC7gumrkuoyPy9eU7Nep7VL37VZeyxav7VdpzQ5r7RMjzJNf7HjgvQb%2053Q9U7ZDi3bqkrZqa7YY33H8WnXZyvKecvGv0fPq2jQ4zzTT7jOalBsTywODuEmAcl9kc4CDOugJ%20FO5EMncJxCvgMHRGz3Vr07Za27Y9h7ZYW7R2M7WO+vZoAzdva3EY53Yf7rYZW3dec/YHe/Zat3dl%20vzc3v/+2eYOxBFstBYdr1s4y/9ZySeut3gy38jbFIAfuDOwmB+AmDBRyIC94g/tmdcO0Rrs1fPO1%20Vt/2Rcm2PGfrerMxaMe0d580Zn92b5/2U5+pbM/2C+ay+lqzhV84d4/4LWe3ict3hV83ibf0fbO3%20jrv3hdt3eSOeX9tAgRt4UwwAMRMAArAlDKhlC8SACEQalGellLcDhKLvi+txjO84j3+1NmfekM8w%20bLN1KLd4PotzaUcwFGO3Gvt4iKN4WNs4nBO5nJ+3fpNvgHc3mGczl2+zlwf5jK/2VFczn1P0gCtx%20yFDkItOGlvsloI+5oNP3e9O4jNP1Zce5R4s4pr+5mqf/Nn6bNp2n+Vij83YXelvjs6nXdng/a4r/%20dpmLeps7daxPsZnPN2v7uabfOUsZ+QzszQz0TQCbG5xAephLeiyT+a3P+hPXOnnL+o93+peX+nfj%20OKrHdnrnOYhz+pz3ebWX+KbHdbbvdxf3t55yuLbnN7eP+5ln9aFfbc3uNEVeQmwotTwc+5//ty4j%20uqd/+kWC9bd7OFd/O7hH+r7DeL9Tu8EjO8J3ucIP+qqLL26Xu26f+7gmuwwuuz43e1PftK1zvLR7%20e40z/F6fOhQoOr2/QYSc6oPk+1YHPMkPPFyP9LRH/L9bu7jX/Mj7e52DOlTXdJ67+a53doZ78KVT%20+8zH/ze2u/tZCzml6zrRb3ifdXhI6/xL23ylS3y493of+7LKh8JxJ8vLu7CYKzvUG/rRpzqaK73R%20W3bZZ/wVbvya4zqQa32mF/3JU3jWR33J83q043l+D73Pszp47z3PJ73Vd/3OC/2zu/bip+C8qysx%20VynYV6Sr766e03K827Lfw73DBzrE3z3eT72LVj1qAz2bO/vHQzuzi3zjs/7jA363w/54y77rB/6o%20C7ziz36753ra1zfaq7pNSX4MvKaa+LTlVw/mn63j3/jVZ3bTb/bTi37fe37pq93pq/iJBr3gO7+d%209z7je3/sPz/kR//vDz/Oc334Yz3i37zUz32ov/742/9++bM/jBW/g4eMcis/CHDiSJbmSQLoibXu%20C7/XTNe2reX6zu/ZDwwKhatiMYZE3pa3ntM5jA6NVFbyimFqac9uTgoGVsciLHar9XrDYDLZnESn%201VC21F2Fx+VNet1OhEelF8O35NcDGCVoRFhoWIOYqBjE2OjoAokjqUMZaGmF2aLJxdnp+QO6IjpK%20OmP6hZqqasLaSgobi0obiun6Cis7yztim+WaqyFMXGL7e5ErnMFc7IwcLUsMANDRse2GsCE+Tr6x%20QI2ejq4yZn1tKp1u/Ju8LM/6jJ2NPv8Ov88PH71g9qj1w6XPkzp3CP8BZHZQU72HEAX6kxQvoEWJ%20CSn/LdzI0eEujaIGEhxJ0lG+kygrgjQ0saVLXyY5ZTTIEFJMhby2dftGJgCBAyYEHCBAQJ3SpYzY%205XkJkyVPnFDl7PR4r2RNjAVn0mwoEmtKQivDivWq8iJXmcRy6pR6tq1bPlcVfdSq1s9NtGTz6qUo%20Fy/YtWxpRXwLF9Ddr4MR7Q0sGLFZxVkZh7TZFbLlqIntaOPmzWmVDUZIMz2NeoXoS5ElE57KV8/W%2013Yrp/Wr5jGvw5wne7bdF/eazLvnWu1Ye6zs2X8BGzaOpi5l5XDKYnauijdd5NOpbu5NO3ns6sKH%20F37eGrxj4ujTH+/MZvHtxs3Pg9L+3nf8nqCBjjG9/wKAqQ2Y2mpHVJVfeN1pNp9rCu5HnRnWPQjh%20eBKW1wV77TXoYH2wMRjcZdd9CCJ5GP5hnyX4RcfdbxGewRwdum3I4XbwhSFfiCKuh9190G0hnYve%201WjjiCTSqKN6PB6JpIn0yaihjwgC2WKFoPgUmhsEKHCAACYclRSBYp5m4CpTUqmflcWdyUSQaq75%20XZEU4vgijE9CmaKKbLZ5I51DEslin3cAt9yJk/So5559CLoIoU7u6GFccMYZaJptOHqhoTzMmN2P%20czA6BaZ23mlenoKsiKalg9a5h6Y+RJmoe5UaKd6V/ZW5wgLl7HrOmL6qg2svgM66JJNSypoqrQuW%20mP8pqRnCygiqn6raKKtKxJgbtKd6yieon/xZqLNPcHospcnOuSq4j3aIp6l4SNsttaFa+4irpyAa%20LbeHVOmnus1C2q6xsZo7rbJCWnjFhMVK2uS6cqJbrSpY+jcGAbuOU8CvGq/zhqKLGnzwpMMWDPG8%20/o4KcLb4butxJPxeSi8MCkdaq8hJPrzwsjY7jHPADHfacineViJqwtiWKnC+QQMztBhFtyouikmz%20jCzJOYe887/squyuG/Du2/QwJxttry5dd7w0NC+na+tPwa5g8a4EeLlx3bS83UzaastrMrNa9+yz%20zg2jvDXSP5c7crwg94sw1CkbXvPghAPO9eGIh/v/+LMrv6vvx4vDPLbjhWt+djudbxL2NE9fW7Yy%202nKetpuM+0121IeW/lTsa0fcOOu2b/q616e7nPpnbjMygAIBiGPAAHY/LzHaBFsduOCXY64kzVhL%20Lnr2lVuudNWKl/xt7/X+/urmwute/OrnZz5u8NJPDzbfRMcsw9GkTw27+PV/zjbadY9y+wMf1ejn%20OfLdL3S+g5/UDNg/BKLOfk7DXyb0Fz/1zS9x/1NgBSV2K+iJcGN4I8HwiAfAAHJvgMS62ptW+L7R%20ZRB3gzgh0ygoNvPJDIMPjBzQ/JdAF84ua5Mj4Az5tz4gTjCFfRNgA2XYQ+sNjINB1N4Lf0jFKn7P%20/4fX41kLrThEGO6wdeSa4s0S5MEcOjGG3oOcFMMnQRQysXyWmFgJR4hHjplOiUsUYhi7+Dc0+lGF%20YswfGeW3Rz4KDYeqs+At0HcvGrJGkTec4wJ1aEhImg2JGzzjF6t3RUDWzoG342Qi47hIS34Qkxc8%20pAZPmUU5prGRDGSjEaO4PVGOso1uDKUZvfjJXvrygLFM5SyNlyUjJMAA4lAA3fIITTfcsQx62x3v%20iFjEYAoTdKx8JCmB98rcUXJvjMwR9nh5RAgmEZWVPKb7xqhJ14Wzhuwr5zsz+c30SfJA9VSlGrHJ%20Qm2mk4u/BCb1QPlHXT4RnbgcZgSL2c5BXhOgC/+9ZSnV2clzChKM3KxjCItwgHIE4JnRLGkRpskB%20G0YUoQmFI0TJ6U9advMYrtynmfrpTkfSNJ5ldKknzyXRJlLUlhvd4huJ+dODGtWhD9VoUbfZ0ULi%20k6ENjapUvQnFixLUp04FKkcJicWkKrWAW0VqV8dK1lwqlKgCrapV18pWtA5UrWSwoxGWV44wmXSv%20J0CpSmEaVKGGVawdDOwl1wjPfEbSlOJkJ2ANu0rETpWq4LQpCr6mxaW2lKuBfGpa6WpWg44Psv+8%206k4Vu0mMwpKwmYXqRE07M5a+taCd9apsXztY0Y72trilbTZtq9nZ+jagwP0sUzOq29YaV7hjsOv/%20CgZwsQ0Qha/UHYFfq5k6mQ41rrvlLR23O1mLVpax9Byn7Jgb2t8Wd66gbepZuxtcsMI1vJ5l73FX%20+97CfrW3w61ofd0qX87WVq4AFmxuB0zg8aq2sS89b4AFvEvK6pO8k3Ssg/kLYeImeMILLq+Frfld%20QTgXBQrYgAHoJgBmIqC6LL7uOB/r3RDPl77rtS963Ytg+C73xsjNsXJt/OD0Rli8HC4rjn3cR9Jq%20F7yt5CkiGczaJO/XwDPGqoQX2+EKNxjEh2WylYmMZSOvc8vt02ls4xvkMUdZlko2Z3J/rNWjHlm9%20Ot4xhqsw4hMgxQQEMACLq+tix8IYzXdWc37h/xzn++IXyVImNJUzrGH9xjiyXj5tVhUs5h7TWdKO%207jJseZhoRXuYzPY0M6gxLWdDv5nNU5ZxlS195dRmetGMNmab79lk1MrTssIidUzdXGtbT5rSBw72%20oDtNbDzk2QQbcF4JBhAA6CVAeRsIgAISsIJpNxPbZND2Bq6djkC/9Nh2LrSmh9zWAru6v9yts7rX%20LWR01/jdyX71mV1rblpvGtGoFvWoD83vMKf63JEOuMD9rWWANxrfj453wRfOcE8XW97z7jfCb2pe%20Lteb3Ym9dJEHrm+Ku5vepZ34wyEO5DQT3L8VtziPT/pRFGyAAScQEAlszpRw7MoBJ4BumJjpbP8q%20+FwEQNcjlFfNamRv3OEs3/DHL47xcWt86XMWOacjTvWqN93psgb50ZG+0mEv+dM1pTA/M17mWnY8%201rs2e9R9nVO107jlB4d6r9csbLEDe98Gb3uWz/7htM/03uVuuNa3fvXCS1yaMa+5zB+fGl1Fd7oj%20CKl0RWB5yq8g85gXh+bvtvK1g7nr7VW1sS9s+MOL/r+h3qzqV0/3ur885IhPPMlLznHYc530rn99%20rj0u+9n/W+F5V/rYTV77vveU6e3uu9+9/nW+o/z2x8/93EfeepWH/vrYf7rda6FS1MOb+dy3ffa1%20H33pFx/ruK9r45kN+RI0AOfqYICJ6SZ5cej/VQQFEMczxZExRtB/G/B/GxCA2rB9v8d2y+d7Csh6%2055d6pmd15udywpdwxBd2xrd3E6h8TzZ8YEduipd1EnhyScd+7Ud+5Td9t7eBJbh+KZdv6ceBJniC%20LZh8K1iB6PeBpzd11Wd9X/aA3td7CeiA6QaB49eAsDZ6zwd9FwiC4rd47nc8ARJdVUh/6bAAfkYC%20+ScgAjAON+d/ReCF4gCGBMgM4oZ3L0h9uFaEscd7FuiE6qeGR4iERAiEbsiE3wd+L9aDPpiCbbh7%20eTiEdkh4MBiBtHeDc0iHI0iIpyaEcPh2aRiChhiFkNZ8HThPcSiHk8iCbKiEQRh8OqiJM6iI/zl4%20iIioe7vHgCTogpy4iCiIZ+9XAlZYhRpjf+IQbSOQf2XYKyiwiyMwDr0Ieqiogjj4iKIIeHB3a6ZW%20dn8XiRjoiqZYh43YjLMmg60IhYxIjICoih44itjYgzZ4icYYijG4g5uYjbCYhIW4hjr1iXjojd84%20jjRIiZWYhO8YiPGYjNAYjeV4iudIihlYg/wxhTJHixezMeOgACTATGQIjMxTBA0pIOOghT1BjU6W%20ifsIjenoh3+Ij92Ykc/4hOHoiez4iupohx9JgdJoj+voiP44jdeYiAIpgih5kbq2iin5kjCpjTKZ%20it3Hkz0pj/NIk/Vok9t4h26Yk0iZlEAZlP8d6ZLV2IQaOZKC51EFWXMHuSsJKQ7cxn9f+JDVVgQD%20OJG4eIY3CXxvCImXFX4kyYwYyWt7iHalJnfc6JSCOIg++ZPOp48iuYn9qJbI6Jfo6JZ12ZR3uZR6%20WYyleIz/CJAzWZQnCZU62Tp4KZiD2YqAaZmXeXcbWZiDt5ObaY5DuZfk+JTIRDHM1gBkMH8akwAQ%20WYZl6ZAGOZscQA5nyZQmyZItSZnxJJoxqZiHuZJPOZlMqZJ8GZKYCZmamZiPCZkcKY6laZq/CZyk%20uZiReZLReZ3Y2ZiOSZU8aJWVppvdWZ3fSZjhSXZw6XZsiVPLaJjHiYlxmTft2Wq8CXNYCX//bnCF%20qBEOAUBzsQmgVFibt+kGELANB3qgEYCWC9iXnVmVdAmaUll6valr1CmU1imc8bmeDgqeECpZdjmc%20gTma5hmQmmmhRxmc8DmdzYmhGUqPRlmcuRmaLEqi4IieyEeU3EmcnqiijHmaJTmjDSqXgeehTSGL%20N4cH+3kay+OVYSmbSkqgIhClw5ii47mj7hiaJxqjVRqkycmh51mk6YmTQjqfc/lrQCqhemhCbXmj%209tal8rmm9Kl3aKqezsieZhp3EVqn1uicOQqddDqmXjqkylifF1oCy/ZnJOAAzXYCeCWbuYgCjlqG%20kEqlfbqdzEmmcYqn7qmngQqn1SCnGgio/2mppVvaoj2qoz/6lp66oYMqiX+6qqRKo8r5nJ/5oS76%20opLJo1maqZoqddm1q5XZq6AqaH0YrL5JpoiaqBwAXUFXAhJZhhV5AtAaltIaPTKapnlpqdsJq+9p%20pSLqnbTqp7Yqnm/aqmVKpGcaqwwqqOhKqHO6rks4q3earnl6q6iaqqV6rBU6rNTEh8CKpcLaru7K%20j8YasMjarsr6ZwIQAM7KARX5i1IqDsJoAhFrmxOLm1yarWv5pSXarZ0qq/2KWdOppdoJohpqpx1r%20o2GKo9KZq7tpqPT6rqIar6AIruUpri6bryU7quz6qf66qYWKotuKqz6qrwfLrwPrq5KIqf9KC7T1%20yqlXmUzLKgIM67BZOAJjKJskVRRgKbFmiIDYuqdTmbPcSq5iGrJOm1JsyrJuurGc6aqe2aY/iK9N%20+7NrG6oDWbNGSJ72maL4+rH3+q1H+56Ae7Yte6kGW7i8qrZ4W6wAu7gCK58KW11xwyskMIAFeIAc%20IAD9t2IjkLkPubmV2qKDO68qW6tza4k6m6+nG7cPqq7eaq4p+7odGrsg67PnurSverhuO7YTapyM%20e7eO+6uMZKo1mrptS7emK7Jse7uCO7t8eqrCe66Uy1eWuyuax3kcsL1fKQ6fy72e13mXl7FEW7eK%20O1OGq7oeybxqO7IvC7PHi7ysa7e6S6z/UCu08lu2Rdu6zZu3Nam/MluwkJu+1Eu7tVui9XvAuyu3%20yru6iUvA96q+Dsy+0Uu2AtzAz2uk+Mli2Lsr/zkCQ/ewjEoCjkqpIlx01ICGA2y8+0qqPLu3Sum/%20QQuvsvu2I7q//Bu45XrD4YrBsGuvPPy7anq/M6u3NjzE2jq9kmu/RczCMRXACOyxvbu8Fgy8f2vA%200msC1ltSHixSJ+Bt4PZsATCAJRDGTRq2GpvEHCvFK6vBaJu7C+zEGRzEcCyvM4y/NYy7d+y+zlvH%20iHuyK4rHRgzAJsu/CqzFOTzBbwzIh4y+EpzFF/zDf/nIlbbIf8x4HEy16CCWYrLCIIjI/5LcxsnL%20yL7LqnL8tIQMo4Z8vhFsyZF8xWp8yok8yWBaylXcwzhby1O8vlG5xnBLsHQctUI8y6IczEA8zHZs%20s4RbwEx8wFy8yaDgheA7IJ9sbKEcy0uMsMP7V5VsWpeczI3cyi2MtC/cr8TLtN4szuCcv6zcvnf7%20vkYLw0hczNk8v6y7w8rMt1caudvcxKn8xLMUxcdsu5gshVMbzegQDlyLGtZMya78zbBMxHN8zer8%20auysx9Cby35rvhhNs/SctvDsx+FsyiH9z/G8s+fczRC9zhKtxKVrxRONzrzby6yYo9gs0yhtosl6%20pAmtCs3qKw6dwBZNtx59xHu8zK5L0P+2bNAPHMjwy8/N7M+oDNCgTNRO/dQp3bgrTc79nLTcjF1d%20LdVf/c8zbdUsfdEuzcajTL9X7ZFGXcgEidA+zQsEgMbVvKB8LNL/u8o9q9cnPdLt7NdJPcg0TcG+%20XM85HdgZTcwmTdU6nc/i/M6AzdedGMMgudc0/NFIvc83y9HaTNbP3NN0nahCnZlufY9qDcxLfdpo%20XdSqjcM5PNmPvdibrdG/HNuoO641ndeE3ceVnZ2D3dnMDMnOTMu7vJyobdO7fdjLDcFiXdxTfdwi%20AM2kzVemndyujdU6TMXbPdvTzdpu3NQVvNExq9v43N3kjds+fN5my9tim9gvrciwzd7/7e3I2v3W%209K3LyH3Tyk2h5rzVYQ3FLsx289w2c23dy4rd/Y3fqW3cxhzeDA7dr/zg9nzPWd2/v63ZR33b8b3W%20DIzMgn3ZiFnYwiziIB3H4A3iBU3SuLze+83W6P3esuzYKk7RLH7iB56aCV7avT3cSr3iTN3i3h3T%208s3fzH3LRF7eQ3vhGB7ZJZ3iEH7jQp7jHV7jUl7VIc7Y+izDGp7Htt3YUW7hRy7jze3jXZ7ZX87h%20G4zgPN5iZ47ZlL3hcT3iIUrcFC7dWJ7lDz3hEV3hMm3WFd3gzu3eZg7fVz7m9s3dM26+363nkJ3e%20iI3oig3c8evORf7hU87Lho4C1e3m/9C04G096P9d4Cot4AJN4Eto4FYu5pQ+531d5yhr43tO5Vsu%202Zi+2pou3kOu3h6e67S+6Une65Nu5IoO17CO4n9N25Xet0x+qKP96SYV6s894OVc6gH+r33e0n9e%207Iru6Ike44Uu7JLe6t0e4Ug+3uSu7LMe6Dhu61C+7o9e22vO5XG+7K9u2cnu22muyvmu4ygV7SI0%207RiO0+Ye5MGe7oR+39qe1tye6bou4dXu1QAO1tku8WNN8WXN1Rcf3aHN7u0+1KMevA7/68Ce3Qz/%202iSf296O6yt/7mU+7kbg6QEv8HBO4l7e78Ed64KM84Yd8zZv50AO8ejO6+q+73Ku5v90ru8/XuJa%20Dub1fvP87vMJD/SyLu/MrqpLj+ZIn/OWLtc7TvPSXvU8L/Um/u4u7usuf/C7XuVhHu/g/vLiTvWH%20Xu4PD/IIX/QKP84cj+cer+d3f/J87+d5Dvdxv/CCv+2ED+gbj+rWruo8rclhH00Df/iNP/HXXvGP%20i/Lbfez+zupv7+pJj+ycvfX3Lvqe7/ZHb/pd3+wDbfh7b/kYj/kaf+pK5vpDD/NzT+N1X/KQzuhb%20DO2SP0KUD/u2n+rLvOqpz/Q9b/ZPf+tLfvsmT8q63+gtX9+v3/k6r/X2zu6+z+nVD/3HP9zJD/VB%203/Tu7vzwrvrdP+9K/+/CT13E/+3/oc/6WU/63H/1+K799x/1IJCJI1lmHJqqK9tyGBzL83zZN57j%20Gt/7/88kNLmKxhQtSdMxmcAncCgdHassJTbW3Nqg3t5Uah0js0ou9+sNi8lWMxbdVK/ZRPcbvpQ7%206VH7HZ6RXhKfjt8TYIlgFWGNYQ5ikCIJ46CjDOSOpA8llWURppbmDSeYpwioi+goqempp2oKAEBH%20B61sru4urxsAGSsGaekrampvsPDwK49xL0rwcFexM3L0MnO1taj0Rbb2brI0swZ4OGv3N+qzODZ1%20LDv6+Ds8b7urOuXzi7w7p/GJbdz8/VsXbyBBRAAPItREzpyuawn9LBSIaR49Rbpo/9nCte8jyJBj%20fo2RiM9URXsmIT00aJFQuowaX8KcSNGlyoYOZQJieNEmHYi5VrLkacenI4wocZ7TWXQp06FE+bSs%20l/Mn0C8pmzqlmm8mTTgxoVqNOFVOVX1I9YwtGFXWvZ1Gw2ysdYukyLx6ReJt1O+k27JS/z4lC/Zq%20UqWStpolbCjtYa6Js9Z5qypu4cCRG2MFvFjo5bNoIPdcK1axQtCgMD/+WjqsmbafLa8Wncb1UdOx%20Ud+kbYm117lT9tm+bXgz3OJzcLOp27Hv3ujSZUG/1DW4ZuShHWPPnht2FtmpfTMCjpY5Xd3heQdV%20/Vt5H+FtwMdhr4bx4Ouj0Q9XX/+fMhT4JcfdefINQRyBBXr3nWSTyXUcgw2yZZ9W7pUH3yH8zYdY%20TQAmYqEg5u1noBDO3TUdiikKUl0oCY64YHP0/fcgjP3JWAiFlQk2oH7GQRjjjXt4+Ad5IWIYiYYH%20+ndGjgGCiIeIPta4oYSnDTlJkVAeuQmJgXA44ZWdPOlGlFuQFiFnDtI43o7b9WhmkiUuiWOYsLRZ%20m4twdrlILhydqCKggbrA4ip56jkllfl1ltlsagX5SJ3NjAnMlsTsWcmcQnrGpqNVWrkmp699+Smo%207WVJZqXTXPrJo5k0+eGplBoa34/ptdrKpr3d+d6sGa56zK0wiKdrp2mq2dqvAQX/q0yk5UxaUqre%20xOklKH56JCi2ghLaQrTS1mqrp7vlSqyo4c5Y6n3P5tErkski+OahjRar6LHdyVuusWCOm26s0LLL%205beJ0qsvuhX2uy68tCIq57LDmrrrhf9aGrCSDb9KJMRGSqwqxQyPKu6+Bmes5cbedkytJdZumy0Z%20CwRgRAIKbLCBAgm4EfPMNT+z8grdTosyj4siezKfFjcroJtC2xsqmgOTyii5+AZdr4ILAz01wVA/%20PC/WWS8dNZAfr3e0un6VfGbY5jJJ9sFmJ+wr0ZgaHbKOXCdN9YtWFy32uVrzOzKqZ/8styoqs2wJ%20AwjMvEERA2xAAAoGbDDAGI5D/86B5JTzwrMKPierrNprFyyydnd7/fXfduP5drtxs8q36KM72fYR%20ZS7nbqaQ0j074LKyDrDehIeuqeyw9u7v7xMH//rwuhePseq8Js/x8sDCTufuxkcf8fQmVw96866y%20fTzCSld9b9Mr2nXt4WPgvDjjLRww8wEozL9B/Ufcn//+m/uOd96Ylr7VmS+AAgRX+HD1PCyRz20F%20lBL60pavpw0tghLsGgXPd0AbXY94fiNd6aT3wHhZkIMJFNbFGLg9jXUPbQicIMgWKCbaWaeFg2Me%20DMeWPeiFkHsjvJ3rrHdCZu1QhT1k4Q8VVkKBqe857XODARxAAPi5oAAzE0AKZv9WgCpYcQNYRIEW%20/Yc8AEIQbBc03ekMaEYT5rBvFdwgGzEYwzfCsWIddN4H63ZEktkQd3OToZ1WyMckwu177yJkIeto%20xza6UYNrZCIa50jHre0xcH0MIvgYiT1ASoqGLRKcH+8oviLOsIG1i5YL49jEPz3RDVRkgQAWp4LF%20fdEFsZzZLK+4C86VoXveU6THNLnJSVJygATsECkDWcn/kRGIhszdKDnpLE8WCpSYPGQznQnMqx0T%20mXnUozFF6M1vam+ZY8xmIrcpPGHikZgglFokJenIYp4xno2c5zvDiUR0tu6ZfyQnD+HZzTSW8ZGL%20TNn6eNnKXOKSBQuQZRZntgD/Izy0oWCU6C6ZSdCCps6c5eMn8JZ4UKfJE5/g1OcgQao8kQaTndEE%20qBEFKs5xoq6jKE3pRklo0JHa854ctWk9B1pSNQI1qD5UKfVYyk2h6lCaSGNqU92ZzxeSNKpS5Z0g%20LYnIkKoTh1X16U9PatR90tSkYlUlHgy3UDK8cgWSsygHFmcAI7w1fhfdwFw3otEMmrWcMj1qWYla%20VLRCNXYwLWVW98rXsJ4VkoUd5lX9elPFDlWnO13qTBfLWMmOFac5VWJXhehSBR5WmX8l62fTedm9%20DdFhgyUsYFPbT6WydrQoHF9izxnYzXIWtrGtrGVf69jfAhe0q10nI9S6Viu0/1UFXbRrXGf2siI8%20l6HT7RNlwRrcqVK1p4atKXeHS1ztavO4yPUuZPvaW/GitrjGFS5PH5tewYY3vvJtJ3ix6lEHIvWX%20oc3kV7+b3/WyV6v9TWWBDSzb2ZrXq+j14IAJ3NIAz5e++j2tZzVb3gYDWI7kfW997TveDzOYwyZi%2033KN0NyIwnXFK2iui1OWXQGrN6aT1e2CV/pfbO6WtzburIJznNQdQ5O0kQ3ojT/a4w3Ts7sPfumR%20f+zkzGoYxCHG7Igr7GPE7veU1vSnKI0cYSn7NsPuLXGTy2xmEqP5ylheM5t1bOIi3zaZnTRlDbcq%205zQn2AjKTbGKIfpiQUcXrv8sgDGhrQABWjCa0RGYsZa329g+K1nI/p3zP6PMZQwHucqq5bOIswzh%20MW86yfxdspUnPWEP09jCEl71ffHr6lfXlsKjrnGpgQzpSKf6wrretaxnTWZKn9rSCA51e61KatOa%202suXBHNrU5jrKYv61lueNrFb8GdAuyDGiDb0oFuc6GoBG8rLvnNuK+3pNrv5vE8WM66Z/Wt1n5mr%20mA5znZ1aNmfrecj3jjZuu5znA99QtLYO9rXRLfBPPpu27o41vIWN7WwPHNWfhu+b4czrXiN53sVe%20t71BDWuI57u0Cud0uc0t8YmPnAzb5vahx82BABB6cddtAc3FvYGbFy7lJdf/tLypnWxlrzzoFK84%20yEPe7odXG+FMxnitWb3xi6u65UOPs79FnvFOE73o08Qzw/t9aa1H/d0/P/fX0/3xeu8Z6kxvesQT%20nvaFV7PhRM402p9KZbZn3e0ONjsR9U1NbqGy4B1Oa0JhHmhwY67mM8urC+rKUMhTx+eBN/ncUY7j%20pPd96QaXurXlrne4x/3pnj88yS8P9JM3G+mcH7vfPw94154e9aQ/u9cz7/G1Y73zvt696/kO+9Pz%202NLD/73QNT51pROfzqrP+76D33VJV73sqad99a1/++fnPvoreLniWQzdFFQUuoubaBHKz1D0Y3fz%2006c+rbV/9VbDP/5/v760/41+9LqL/dhWn3/o1d+wIRvXvR/HdZyaFSD9CSDL/Z8CLuABDuDWWR72%20IV8Cup8BUl323d/e9d7x2R8HAmAARmADyp8IqpzXjd4JoiADluDbrSDupaD38R/BhVK1JF74tUCM%203ZL56VIR8CBD1VLlYSAEkiDrAV/Y1eA1OV8FgqDsdWDv+d8EEuHyMZ8F7h/hfZnDhSAMcp8MDt4V%20FJ4N2pYXit4MZqHd/RsZNiECXiC9ZSC7beATQmEVtp0czmEXlqHp3WHxvd4HtiEWhqEW3l3h4GAO%20htv4pUAX1VIYpYAAWBECOJcPRtcWZRQVjqAR6h4S0qDFxeEVOuADYqIGOv+h7eVh/ukfKFLgKWpi%208oWiKFrhJ07hGxbhKAIiAVqeHmYiKwaiIIrdH0qgLPKbEkLbGq6iCirfK9ohHzKhMZ5hL/af4fWh%208P2iC76gKzqdLjojB4BfDsYYB/TPN9KPJM5MJNqPOIYj/ojRLNah75Gi8+ViLdpiMAqj8RleKSIj%20NsYjMFrjNZbeHrrjssCjJzqhNMLhQO4jP15iMrYjQTJjwGneOrKjFJogPvpjJh5jP1rkQSIkHnYh%20G3JkR2ZkDLYgKs6j9NHiRpakSXKisUVjnxjiIaKAA8BPObKA5UTO5KxAzu2cCtxk42mOJUZkPuqj%20SlIkLq7iLt6iKj5k6yX/YSfCYkPiXbwdYSseZbMkZSoqJAuSJFZmJe9FoUtK5ReCHUu+3kQmpFZq%20ZEpSpRt+JUoqYywa5VLaWVeuJBpC4xge3Fb+ozza5TMO4xaG5BFwI7fBj2EmIge8j86swAAEQBet%20gGLaTC8oFD/4kj2+I1JqY8+UDDUWJVq6pUSGJb4J5FrWpVwK5VBCZV9+JmimpmpWIxeKJGnCZVSO%205kfCpmCmpVrS5mrGpkjepmf6pm6OJF/2Zm4OJ3CyJS92jhguoViaIRhu5iCqYXLBZEzuA09KB2V6%20Dibdo2xmZnRKpy9eZkCCJ1mWpUG+ZnAeZ2u6JkMap3f+ZjOGZy+lIdmx/yY9+iF5juZsvidIFqQH%207ucQ9WdnrieAviVv4mZ8DieBnqVwIud8nudfPmWC4uaJUeZ14kEs1eRebCdnCigZNqhoAhxdYqRV%200qVpPihq7maFKqdSriiLFqiL+uWE6ufnYOZVaiZzWuaNlmeO0md99peMmiiDmqfatWeMDqmOQkNz%20EqNeJimIPmmMOih7apt1ZuguKI4Q6oWH8mh34iiKLimTeun3LCiMEmc2AumYjmeP8qeR0h16Bmib%20DuibQuSZJmeKqmh+muWIFiNTbuJdAiYhkqjgSah44qVz2maEHulJIqiM5qmZDsqVYqksOA5QRkeX%20sumX+miYqmllamqZgv+pNEHqgbKjkqqp7aSpoR4qhbYopEbqngoflcJqrMrpprrpj67qjoJqYFZp%20o4ZmXoKee/rnetKqU7ZksM7eosJpjfJpsvrCpFIqKBCAZE5HpgpplArrsM5qqS4ksc4oje4qojqp%20tkLpnIZonTblsU5jtgKeiD4rHXrrqerqmo5rr3brsM4ro66rrPaplBKovjIrq7bqo4rpp2Lruf7r%20uybqDTqRtErrtRJswNpprYIlvN4enhLpmS4suSrrn1ZlkebqvvKrrYYqp46qwXKnyeJqp9JrvUps%20u6Yex96rQ5aomKYqURpozRbqyAYqwXLrSzrsw2JpxNZjwpbrlPor0gL/bMzGq7cC7XNypcYiadJe%20rEcuK8X+6tMqrcfaLKo2Kc1GbXEqqKhiHqnuLOZNbcU6KtQq6se25doCK8MilNAO7XUWrY3eKp2K%20rMAObN6u7N62bM/67N/2qrHGqcXO7b9m7M2C7aD6qde6LM6W5tmK7UU27nTep57Gbb427falK6AS%20LrserbuCLsgWAWHaLbfh7ejqLbrybdZq7V5e7tdmbuwdLuKaqueaIuyqa+7K6+5WZNUq7tIybu3a%205+3i6+zm7KuW7eqBK37Krrm6rsKaLtxy7vKWptpK7/B2LLTWrermIOump6tuL8kmrvc6bfaqJ/RG%207+9urdUKL9OSrsxa/+9yiivM0q/6ru+3tq+vcu/8Uu/SzuzjLi7W+m6z9mv8yufb3u/L/izX4l8D%20vyjVoinzVm4hgm/4Kt74lqzhOi/aYTChpi3mIm/zWS7zmu/7bmsE768Fp3AJ22sBF+8Bh67fOivx%20di3P9m2QCip10vAEeyX28m/BeqrKfvDJmq02pu4Gr1UHO+rEIvANK3AOS3DkDu4Uk28Ru+zB5q8A%20l27v2nAWQ3HwfmcYn+6d1jAaD3H3hq3bXjEPPzCyVrELBzDgvq7gxrEct+4dV+8ZX+/3RWsTL9cT%20667+fu4fO/Aea3EUi3EPQ/ACz+UOx+4KE3HbjvDzqrDoUnH6YqwaA/9yJbfxDOswCR+vDP8wKWdy%20DPuw5v7v+RryF9dvIlOwlWrwIKdYIQPvIfNuHlNyKNsxErMsyhrxh+6y/BIwKlvxJEsx/kIyHXty%20EIfrI89xJ19tNJ9mBSNzK+PuJnvwf3HzGLNtC0MzHPtyAmvxJdMtK93y6kpyKUuu4yZzHRsvPNvu%20Cb/xMjvyIqPzOFtzOTPzNONwNcsvPWNxM1OzG2My9JkyKycv2qoyQzvzQDPwP+tzF0t0QqszirEz%20IbszRNezCS8jCmvvKmP0KCvzOxt0QHNyRhvwNbtvN6NvSwNxRa8xAGuzQ480+zZvEj+vCENuPtv0%20K8vtRHv0QoP0KW//84VyNMzlcucasxn3MkCvtDdzGDgftEDPdCoftUrvs0yf9Dx/siJP7k7/tEvX%20NCjHtDhHMoS+9OYONfw+sz8HdVqf81fLMznT9VjHs1IH7ToztRMb9VTytDArMTGTaTAH7jBz8RF/%20MwgPtlnTtF7T8k3bL2UDcEHrMVm7amRv9WBrsl2vtVwTtFhf9i/j9D0r9GeXNEKD9UgIMmCzjFMT%20cSML9WlbthCzMTA7dk+HcMoWcyzXMWqLND6ntGbzdU4X90d39UW3Nl7PtXGbczgTtVaj9HIftz0T%20t2qPJXNvdv929vf+dWw/0WxPbx8PMG5LM1WTMVSf6GIzd3PzcWLj//F763F8M3IZu7dhMzZwnzcY%20S7VF33dVb/NVr7doF3Vbo/VeZ3dcwrRa63JwIzKA2/YswPZ4a4tgczd2h3SDvzVc03Z+h+yE13Vo%20Q7h/y/KIK7KAs3eE83J9S/d0P3WLH3N6Y3MFZzaMGzh1uzZ0X3eOe/WBV3dYu7UrP3hcI7ik2vKF%20Z0t5vzBJR7Rz97VOly9rZzWPkzaRFziQ7/hzY7mCm7aRszBbp3GWP3b3HTav8nZh+/RvI7aaK/Z+%20w3djW7WZyx14u5yFL7mKNPlu03lvQ3abp7mfr7lvoznCznhUv/hUb7mMn7hw17iDl3ijz7cfpziY%20h7l5Uzp6z3JuY/92aXf6bXO6ejM6iLe3iCu6DTOxnqcIn+P4onv3Fst5f2v6f6M6hWO6k+80aMe4%20mI82RU82qON6rn93oB+6o0u4rZM4r2f6m9N3nNv3nBN4nXPlned1dL86cqe2RmPoqnNphkMnUje0%20tp81sI86rKczuV+7RZ97P3t5udt4ZYs6vHt6mf/5mfO3mw86nLO5oXvxsbv4s/84qTO7vjs7vxuq%20qg9tZN6MzNBMtQbljX+6uWe7dgO1ut/6sotyl//6xSu7jh+5kFu7j2M7g9fmdoN7d1N8hxe5sLv6%20uqu8yVv8yL98ycOn8hK8tNu7nS9xnj+sT2ZO5TwOTl5q+5H5lwf/u6T3OpJHfL0TOqD3u9Eiun4f%20vKzne847/b1XvaBf/b4XOr5v/e1q+YoH+ZVz/MxjPFazdNl/u9RWudpvvJ/1PKWCIzgaAd2fo14l%20+LtHetrz85gz/dFPfM3/50Nz9YYndXKffNtDuZXDvd53/IJzeMyn+9l7/MBrvJQrt+ELPLv/vW67%20PNp/vNKHvBUkPKUuYkRVohGg/kWpftED/t57uLAP98qL/dibOK2jeLKreLSH/bSPrYUW/moz/ttn%20vuIDv/+yfMYPe6xD+6w3e6Xv/qUnPc77vs5Te7H7e+4/urxHuulnKBCy2JauQPjf1fjL2ONXfuQj%20/rhLNuRPf9/f/7Xxy/zmk7zk27zwazjnwzz+gwAnjmRpnliqrux6vXAsy1pt3/id7Xzv+6egsNQq%20FmfIWW65/Dl/w6jQSE0lrzCmtvbs8qRgUrWKvW633m54zRkby+ZzM/1kg91vuFI+pwPtUngtekh8%20OX5OgFGCg4QxhoeIPYomAAAdHZaUm5yACxugJKAbC0OfoSOjpZ0iAGuMLo6PkDaSf6wjsLGyF7Q6%20tju4RLoYvFm+GsBfwiLEVsbIXMrMucTGL9HKwdTOxdDZ09Rt1tfg4czd5ea24uO6173I2hni6d/y%205+jk97Tz9c7q8AFrBzBgP23/9smKliyfsIL8IPnjBnHhOkm4LP9h0tSuoyIDo0SBMjAEJCoRo0hm%20fKXQoq+J+loSYogwISx4FzFSlKmHpkNcFV0e/NnJHi+fA20ywikwacx3ESUSLcqzZ1N2O6EezemH%20YFU4XLtmvRnVUM2xgpi+PPsw6Mywabxq3bp26iajQodi7aQxkyuPgNcUCJkKVIAhg09yGHV4ZRi3%20b+s6bfsVC9K9T5calGqXEl5Hl3WixaNWL2agkMHC9SKXbFk5MCnPBb1ajdK0m82yRV05zlVErTW/%20PhOb9+zIkkVnxj0czW5Wn5GbBn6bdG4+xaGnLhOaOt9LfgOLlzJqg0jFJsqfN+/4Tm/f073Ldp2X%2082njwunGF7v/nHl93ZPN599/sD1H1XuF1FZHdW6UZt99Bx5n1W/89dfgdQV2pkh0EyYnn4DWNadF%20dhHSRxuFdAQ34In7pThaiARmCGGJK0oHYIDaIbgHinGx0hdH4wWZHmEoEXmCeoWhJwUEljTZZARO%20RinllFRWaeWVWGap5ZZcdunll2CGKeaYZJZp5plopqnmmmy26eabcMYp55x01mnnnXjmqeeefPbp%2055+ABirooIQWauiWEgjx419CNlqkYkgGEeliRnLCqKOY8pXppptcyumnYXgK6qhBiErqqSSYiuqp%20qq5KaquuggprrJvOSmumtt7aaK66Cslrr+L9Cmxgwg7bUbHG/7bT6qLJUhKAkYwN8SykhgmDbLPM%20XIutj9vW2i2m2n7bqbi7kluuuUGGi+4a6q4bqrvEwhuvvMfS61G79p6Ab76VKAoekPyaxN6jKgUh%208HkFa8ovNfsu3IrD2ULcnsSWUqywxeNinLHGgDQMsccLgxwyx4qIzK/J9qKcsr8bqXzqKQNTSoop%200IKyCrckd5yzHS7L27O7PwO9MxtBr1s0ukeTm7TSQ7PbtNNPS7G0uFN3W7XVLIfnsAA1byDAEFxT%2067W1UYNxNbZno112FGk327axb8O9NttzK1q33Xf3m7fee48Q97B/9xq44FkDzG9iXxdZAAkCDIYA%20CYgXtjjZff+nWrnfl2Oe+eC6ck6r559n/vDmonMAuqunoy566quyzmrpy/7rOisHgHKACLVvcPsI%20iW3wOO62A697xKsXb/zls796PPKwL1958rI2T7rze0MffamyUzzABgSIANIAJUy7QWMibN89B98z%20LD3z1Odt/afve9u++/PfHT+u6z+ff9/34499yxZLgAJAoYAEmGAAAUhMCQRIQAOqr35z6x+4IBhB%20Cq5Ngo7CoK/2Vz0O0s+CUdPgBv+ntbmNL4MetF8K6ybCdIEwhCus4Aub1sLx1HBe02NfDiuRvblx%207Xcj3CH/YnhBIpbthjjUof5mODQkAsaJ9WLizqAYRX31cG3/CBjbuYTYQSnmjIrK8uIXjQhDMXIM%20jOJAI/G4+EE2tuKKUdse+FBoRo2pcY1LdCMLyVhGJebxj4Dsoh5lqEdmrY0ADqTjIItYR4zdkXJ+%20HGIjLfbIiUlykUfkIw1XaMjS3UuTTQTlFEU5xklS0pQUq+TFItlGVqqwfp30ZBhR+TFSkkyVq7yk%20K1+5yz1iMpO/7GMgBclDAMqyir1kZDA3SUuH4bJizRxZNE9myzNW046chOMx8ThMXiYTmMsM5TSp%20GU5xfhOc3fSmLtMZy21C8pxPe+bG0ulLeMbzmo7E5ynHuTJ+0kuelIidMd3JzXUSk57KtKc5FbpQ%20gx70oRBV/6dDJRpR02mToLmcaD0ZWspydpSjH9XoRkVKSIQmlKQnTdVFMTpPkwrTpff0p8/0uU+Q%203lKmM/VoSCs6UpUOlKUZ5WlKhYpOmDJTpzdFqjWVik2m5tOpNS1mCYEKTahKDKAlwym8sMozmqZS%20q0Kz6lXBajSyIq1wXG2dV2tpVqa1lWprZatNlzrXptb1qXeNagnaSdWsvvVbaSXaXwE7WKwVVm2H%20dVtcpSlWZ2bzp331a2MZm9exJjZZgYXaZMm52Xxl9l2d9exlMYvWyFa1snJFrWNHC7jFUhalRSVq%20bFtp1IZqlK+m1axqXwvbmIb2n67lbG1tS9veHnW3wmXnSv9za7bg9vO3OYXuVp373OGOUrrTxW5Y%20kZtcn06Vubq1blK1e1bWAuuzzTUv4dTbOepGl7vVVS5kwZte8poLvVJjb3vte1/3Zpe/cNVv6AQc%20K/zSjYSGo29+2dAAkwQAAQwIAgM3UEBFlCdmR5qUJdlwAAeYZIEDpHAi2XDhKJT4gWsYQIgLAGEJ%20h7jCgDixEGT8zhMsgHwmEOCzAgDjE0y4xyTW8JAq1VUGO7jFPn7xiNdA4wwTOahh6PCHSfDjJYeh%20yUNWEpSFoGJQsDjCSW6ghYVcAixvWQQ3FoKOxwdkEIs5xmReD4Z1toYGGwbJOVbymJ8s5zRuQsro%20qfKetdz/Zz+neMV4drOIBz3nMse5pTbGMYh33GYq6xnOfE4SoUEbBjuPL9GWfrMdzFzognLYw4G+%209Kgf/ahNB5QNXd7Al10s6iBnutWNPm0Q0uxiSlt5BILGtKtlNuwDW3G+Ch7CrwRAgAuPb3ckMJ/3%20NjBHNjCA1Ry49q0ly4Ybf/oAYC4f96Zd7TVoe9jnzjWkS7IBlWSR2gccN/rgbYd0R8HeKC4BA96d%20a36XxwEnkPa8yx0GfAvB4NyOArOdHQBoj0Dg6as3thG+YTB4+8Hgjra8I27tiWObzmEAibtBQXAO%20QJzeHd82xXFmgn3z2d+jAHi8z8dxc3t82wuWwsIv3PCZ/5MbECvX98eLbIeLIyDjD984ym2u8qET%20XQoiF8G7S37ykksh6CTA+rpF4HJCwxwUMi9B1YF+82IrOww7L0/Pxa50q9+77Op+tSKMjnRx03zp%20BYe7ocEQdQ5M3ecDJ3vTcf50ffM7CF/fQNg1fne3D0HrXHd6qUqbbE5LIQCrSECzvVyC3O3O88Im%20D+EFy4bGjc/qoOdA6m0d91bvHeqgSOS0yp361TMZ55K3vAgm/GSYOdvhqg9e8Ie36mLnnm+Xz/zm%20Zd154dv+yrgffXh1PpgAoN75wme96M1Oer7HfgSzJ0Hts39740tf9xzgvZZ9f2Hgj5/42jfx+fUV%20Bszvfv/5kxvB+4EPho8fP+doV33XR3zP13/Rx33dFwUmIXskJ37YB3/l13rE9nrAFmK952yj4H4P%20yH/bJ4H/ZzlgYH/ph3/NR4DkB33mh4DoR32ndwL7F3ryp4L1pYDfJwLhp38bCIND8IFnl2dmxn7l%20oYEmCIEo6IHzt1eUV3kAWBINkHXRAjmgkDiUkn8R2IEUGAUIRGFCEDmKo4MzdoTGhoVG8m44xoVT%206IWSAoY9SAIG4ADLN2fXZgCJ43vnwztRKDlo6GQSuIYK2IQjcG6SZoacV3xGKINLiIXPogBbeIdd%20SIhWmG9DsD2KQYZQqEVn6IgxuIcJ6D1uKGRxOIflUYf/IiCIzIeJO6iGmtOHTlgtlSiFgxh/p2iI%20YSgFWaiIQUCKVFiEjwiJQSCJMUOJdmiJr1iFmXiF6NOJRPaJaBaKJYCLeZhlumYwfhh5rBiMrliK%20sPiFssiHYFCLiyiM2EiMsaiJ0xdwY1iNHOCMpqiN5LiCbfiGLdduoDgKopiOjHiJ2ZiG2zg6x/Zd%20Sjh5lDAK5RY2MTMKUqiLxciLQhA2CVMCBHkeB2mAKdiOMzgEFuiAoOCHD5kkEbmL7GiMrlcCC9CQ%20vsc4XdORCTmO0Vh+A3mS66iPFHmICzkSMyk2KKmSKVljQnCROJiRIrCRj3KTH5mTFReSJDCSIjkp%20QCkz/0IJkx6ZcCxpkjb5knoIkifAkDVZkPeIkDipkCbAk8KzARrpkvlYlV5plCOAlEeplGQpjkMp%20d5jWklNZltB4lldJk0GwlAZJlXVpal9pJLkjlj/Zllz5ljq5HiaglmnJlnPplk65dRaFbP+IhIqQ%20RQUAfDBzHjdTmI/plycwLeGWmF2zmRJZiDE5i4ZJkCqRmUlCmk9plp45dIC4lmLjmkQJm1AZBpaJ%20maPJl462jwAZgqAQmklZm76JmHaJnIOJl6z5KLbZlYZZlBN4dU+4jMZJl795miBoB7tZnFo5M9ip%20nIcZBKApBM0pM88Znbg5ntkple1mnd+Znp2pnmcmm//VyQHnqQrHqWkrKQXdSZvxuZ9oKZ2fOZzm%202ZvhyZ/JiZaqCZ+aKaDT6ZkR+nj3mZ82A6E8yI9SlWCTSZnmNgAgYX0mcDBJ0pCJORgFUApCtgAo%20qqKVMgAIkBgP1pTINwQOAApAdAIkSjBRwKKy5qJK4qMpOqEmF6N3RqMeSpRIsqMyY6Ii2aJEip9Q%20qmEwKqMIgKTb2ZcxaIvTJjZOepRTSmRCCqQYVqVHijcfGqIlx6Qp0aNhGqRvWqZG+mlYmopRcKO+%20w25e6qY/GqVjSqRmSqebGJ1L2jVfmpZxeqJ9SqVzOqODqqDbx6XztqemkKhPuqgv2qhXyo33BqIt%20WAL/bIqX5mmpYIqp6BGojlqOJ4CnOTqihsqnQ7qipFo+mlqndkqohBGq71mppjpnf8qoVmqrpgOd%20sSipunqoaDarydqrYleraAoGDOCpIgqqr8qrsSqmyoqqm6qqq4qjevqdyCqlzHqp13qqzsqt4jmd%20xwqrZKqo5SqnwfqokLqlbFitozqupfquzRqvwbmhBsYpxeJsBhCavXMeksY4O/Y1COBvCDs+Csuw%20I9Bsc9QAhvFr/Vqsm5eqo9g1BzsCApCwfgexPwmyCzspEisCFDs+Fkt/wlmDIVmwSdKxI+uwIauU%20JCuyHHCyHJCyAbCyNZqu2jhiMPsoMssBH0uzJWsk/0cbAA9rsvTGsxYbsBc2sJX4nUW7tE2rtDfr%20tBNbseh6HgqQsdu6sWJztVurtUiLszoLtV8LfqMwYkgytDJjtmlrs3VrJGvrtSs4oEFbtQa7kGer%20GFhbs3j7tHrLskU4EgTLsYB7t4IbuDGTtyrbto8StmcajFbbuExLuI/ruJFruJNLueIDt4Qht/fp%20kJDbsJubtIohuT2Lrk73tn4bs5qbtZ27umoLuq+LuKWpuLNLtLXLuTEzuKz7uV0buhWJsZdLtpmb%20l6nrsc8rAq7rs0kqBKOLnKaLjqjruapru8aLsocrk/Mai0LLuM7LvdCLvtKru1GbhB3Ku9DKfjg2%20Kf+PtnnTKDCfK5hdehImEXajkIucegIpS3z8Vm30m2n2OwL4SwIJvL8D079JAsDPapGjMI3TecCb%201sCT2ro+6cAKDHYRzK1DlwCiipb128EbnL/3GykQ/CgSPKzWJr/iecL6m8IMjMIL3KX+O4yoKcAZ%20KHUCOa80vMKFW8M5PKk7HI49fAIWaMFIgsHqpsFHnLM4zMIg7MIiTHgkvKtCjMBVXMREzL9XLDMv%20DMMFJ8NdnMFfzMFGbMWKF8J7WwIDvDsFnMZRvMYq/MFE0sJkLK8l0MTICcVCIMVO28Z7PMb/C7ta%20XMITOsR6zMZh/MCIzMO3em9obMJebMiQ/MiS/Mb/WBzHcvzDfhfEmKzGmpzHHqzDcJy8TFzBgdw1%20d3zKNyzLqvzJrDy+EsbIghwEhAzGnKzHSfzCAuWP71vJYHC0owBEuxxv90iQA+OLUujMkCp5ucKk%20veNAy8x2zRwp0OyxkfLN0scrWyxvj3I+2axx20wk3bycJwHOCNgqQ5dFAUCc55x06XwS62y07jww%20cXYtyOytpZxr+SzN4nbP/Ewk1Ox9inHNAd2Le8nOz/zQ+ozQFP3OYTDOokiPDW2OBm3PlkjQEZrQ%208ykE8kzPsOzQHV3QH73PuGzMCic+ebrRzLzS6izRIM3SoPzIVYvNJ83RNI3PNo3TURrAOabRSWLO%20/z0909HMzUFd0Qdt0fRpAiXdni1tck0N1Ckd0nyGLP8c043MZwPN1Fkt1OLrqgstu19NaGFd02Pt%201JSL0eeB1GIj0Fcd0W3dzuFMrIg3PiY91yj903YN2NO81e5bzFlaempnx0EAlkbJ2BGKQASwOyWZ%200zZoJANsi/UsAo4dKZutzgEQ2fBJjr/ii78TmDKX2RzQ2Seh2s/82ZIt0utJnhtgZajN2iNg2+Xj%202qF9sWvgzORT25XC2cHt2aCNn7AtLZY9Cpid1H883Kvt3K1d3JN9yz5d2jEn082NHsKt3cT92nk9%200rJN28xNArid2tD9cLpt3Jnmz4mN3eR93poN3/8ml97TXdYkID4kcNnufdvyXd6Q7d0qyCukHZan%20Pd78zd3PjeDRDeCirdcFKt5+3coKfuAYxs303c+K4NuKLeEVTiT+feHffXnJTUD7Hd8TbuIdjs8g%20DtW0mMwEXuLmfeIxnuILvtugPHTPAuHfmWvl/eHSjeEI9q/yowh4ehL4TbsFKuNH3tIDUAAgbd/z%20Os6NseRzK9tKLt/R5uTHrXMIMC0EYIEOROWn67ZXLuNZ/uRLPNQlcKNWJ+baS+Y0DudULXZaTtiU%20UOQD4+YnlORxXtlm/nB1zuLQKeV+3rwmQOURiuhk1uRoTtR52eWg8OVorecyq+hEYulaxuhbDrT/%20JsDmfP63n66cmN5omr7edx4plG7lfc4Box5wgd7gHknorG6+hy7frX5Ar+7HJiAAkM49YF7ooF7r%20Zb7qZ77pnL7meAfsSC7sq37rdN7oGsoGeC7nyx4+to7lgA7tvD2fsp7qoQ6pzl7sIc7lXv7rs162%20qj7n4Z7txl7VJODpzB7s1j7scy7uhDbMHGrY4UKQ5LOu60nWRCoABrC57V7v6mqvBg/wGibwBD/u%20gPBuBePvWqrVf87wX1Pw2CZHBoPw6arwlWLxar7v1SnxCe/W6QryBd/xucrx4+vx6IHyDs+dokry%20Ko/XFT/wFx/z7i5ubkfzLW/y4wvzm6Yt/K7T/yU60i6PYUIP60q68pQ68UnvkDiv5tuumzPP8gMa%209Ywz9Smf8cm+vwiD9EA/oEtf9To38lhPpFrvsVyv8//u9OAq9jZP7Ebb9oIu81zs81k/9gFv90wf%2022zX82mvYWv/k35v9ril75yg3It5nVDP95OSsnOU8hEr0dNpoeD5+HNf75LPtxNsbdOSSJj/nIQP%20+SM++W5P9UY7rQrc+AH69psvnp0f8otP4g7amnL/1MQ++5S/vluJJKOf+z+vGLyf+lcX+q7/oLCv%20+5zfgKpfvcc+sgRXMMG//MMfM8U/9JvA+LfvnMK/98Tv/L1Pxb9PGNWv+cwv++J/ftrCAMjf/f/o%20+f1qf/qeb/aq/7HTn/y4b/3gDwIbN3LNtg3jeZItB7ixTK4KuaztusyrqOdUQdqwdEpxfDMZbNki%20rARAFgdHFW54MuX0lyx+r0YU1uscNc8yRuCUuBV3PTA3bLa3TGS8Gu2sywgEIJEYwInJbdENAfKN%206CE1kqTFAAB0dFj2bXJ2en6Chi5RLg1sIMSsEArEnUjJQLl1kcRuvBFd6XlJjvY5rBxM2XCwIrrO%201N6W0a4oO+ri3jmRdhqcaI0Um0UhN8+OJH+P7YJNL/FmD7osGGa3brzGhEczy9I/Mpb7qZmiuqiS%200DYlnot5y8B5uzdOoRpqMn6dCIZrmEBcBJ//JDzIweCzfGLOONxkLUuLilgu1rMljmMdaBobntOX%20jtAIdgHfoURoTyPLIS4dVeJ3KtWRm8bgddvpqGcuj9J6qYG4QSIWijiTqlTI1MtPdDNCqhmJjdhV%20WBmXnm3plBNYoC4E0azSjuzRnBvTDtlKoqvMtiP6Ed1Dd9sxs0rr6MV3xWtQX8CEuauL1RlivE0X%20y2QSSmzJsvIse0m88CXIP5nhrptrMoxd0aL5fpw06lImv6Ju486tm22fNhsItDD120WBwl8KLJHq%20gASDOsqZ1ymOOTbUM81P+MNCSHq8E8hnPB9x/Up4DuO9SCdH/WsoBSeWEzfuPfkK+Oad14c+/yQ9%20w9Jz1t/lQyIjcEfEdw/lJx5+7+l3BX+kyaaGb8CRIByFJBQoxIExlHceCR1Gt9Ymtt2H3RTbybfB%20hi6AOESLDorYB4kyuLeBfRimuGILL3rBI47TPcXef0EGKCBJP3anIn0MKuhigiXCCGR1S0wY3AkX%20EpjjkjY22OOTHmYp5Yh9jJddGCgipeGW9oHJgY9hqkekZp/UeGOYSer44ZcLctlklHHyFhOAtQg4%20VobHrdmlnkxCiV6MLthWZYVXxpcmouDt6SSjbT7oljlkrmAmQHcamKifXm4aopgyglJnDIfOh2mq%20mvbZ6I+AjikokYT6YKiWstba5pscdIoOWP+WYKLJbssy26yzJPpAwBsJtKHjARGNcO1UTvimUgLp%20WdrttOC+4kMDVTAG6SYQBUCCtnNxoK1E8nLrzbc+xCMuB/dyY8e5VgDYWCcDtBEAVS3QGy+2VNpL%20Lgn68luYuehmJnBgQfLqw8EJJzwDxA6P8DG+ZfxrbB/RTlttDBwv7HHDI4f8cr8TAyynuo5t0G62%20J8DL8rYMyxJxuDJLvELJFd88cMEHu7twxzKI3C8HURd9wtEBJ30xVkZu7HTLUBM9dNAg0+yVbSjv%20q7ILPjPtAtVie0u20RRj3cKM7Da9Qc9e/+zy2DBPHXa5c9fcyYwVLi0D2/X+LfXbg1tNt83/dpu2%20XsaP5T3v1zE8/rDgJEsuZOW/pazk2ny33ULnMTde9QZXTx4hzjorrDfCqDMeN+Crl4005UrnnPri%20QOvu+Of+hp7rkFsL2PXPT3N+fOCtp9n7esfSpqyz23PfPatRGcnzDKZQaE1cKxsp3BDa+qA+FSOd%20MEh6w8C0rokMQIHlX8NxYP4Z7KtCQHlrnwD75wP51UB5ajgAAgo2lhiQbwT+cwIAj1DA2hGQC/DL%202QDmp8Ad+cBMOgnfBhjgggga8HynE5D7vFBBFBRwgwg8Af1+dwapCAheViqfYGbwwhYOMIAaPGAH%20E/g9nKECf/zboQR7qLj0XfCHMSSiB4+4/8AG5uyBJ+TfBJcgxTp8MQgyLCINP7goExWEhCcwIRNT%20+D8oghGOYqSiES0GrByOj4tORB8LoyjH99GxjFa84f3yB0E9qvB2fYzjIue4ghluoIb+uaIDnYDC%20Lvrwjy7UZBMfScZImvGMQ0mjGtk4KR4mMogWZGQGHRm/T0pyH07AoQ90eMompnJnjbxCGAHpySrW%20z35DUaL+OHDJPa6wlbzkpAF/WcdJ/g+LAdBiGzH5xF1uEpudfCUwocmiEH6mlFtE5Ru1qUtl/mCM%203ZRdJbJ3OO/BM56imNEA4EcABDgjBgmokQLyOQMBKKANBAhGAAywgAOYkhgB/Q1BDYrQQv/kDAEm%20JNgoB3mGBGBRb4ncJw39GYiFDnRqDk0oQAXa0IOa0hoBkKgx2yDCT6khZwZwQOr0yU+PxqCkDBUp%20SksC0pM+tIkrnahLA9UFI6UkfLRrAUcjidO3/JSnQc1GVAvaU6GylKIvleUZ6rmCez51Xzftg05D%20atWpKtSkUk1pRIla0WD2AaO+McBGx6qGsgKVpFUdKUSH2tK3evMcBaVpXO16Bryu1adqPStb/apV%20o0YDqSNUqgya2k+y7vWqVF0sX7Hq1q1ytRT2xKcTLBvWgGQWrYhlbF+zWtRQLkGuPKtrRzHLWc2m%20daes9exfQSu6Pwy2pi4wrW1129nNGlf/syp1LWBhetQLXu6RlTWsE1Z73Nya9bjL/exvRftV0saW%20ukuwLm7JO9Xt9haycc0oXWdA3LumVq+3PW9b0wvbfwS3sLWF73zlm1z6Ova1FrWDZItEWZvu97Dx%20Vex/G8tc0GIvWe+UJ4UrHFgLYzgUE84wh23Y4Q+rF8Qi7u6IS5w1E6P4BSlecWhZPOINu7h7MI4x%2092ZM42bZ+MbMyrGOdcPjHufmx0Ce55A/HOHaFDnJ91WyjJlsYSE7OcRRrvGUKQzlKjsXy1TWsveu%20zGU7fnnHYd6el8fMTjP7GM04VvOyyozmI2uPzTd2s5npHGY731nOadZzkPmMGzx/GdBc/xY0lgld%20aD/fxtBVVnSUGd1oRBMZ0hqejYQlzWJHOxnTStb0pi39CU4nGdRDFvWoPf1pUxsO1alW9YBZPSdX%20ZxnWr5b1rGkN5km409YcJjWQea1jX/9a17UWdouFDew5E/vWuj42jZntYmc/O9kelja0V1xta1Ma%20ydKW57VT3G0Tfxvc2y62scetYnOHu8TpFvG62Y1uc5972+0G8bw7XG97ZzvO8H4WvO+dYX//+90C%20l3e/Cz5ugGMY4RVW+MIHTvCDG5wJud73liFu8YtTO+IZd/jGH47xZDPcyhwH+ciJDeeQH7rky9Y4%20yVVua5THE+bwlHmTXU5rmtfc4zpv+f/H7TZxivPb5rLGecU7vnOTs5znRl860oUOa6KT2elPzzfU%20Q530ckud1VVfc8+b3vWVZ13VWxfz18F+dK+3s9JAD3rZb351s58d7kxHu9LnLve60x3vWC87srS9%20drK3fehvf/ng3R52sR8e1WPfzeIZn3hTN77PLu+7vv8u+cBP/fGWjvzl7X73vO897oTXvKQ5/2fS%20l57qlge86A2PeVebPtGoh3TsI91613t+9LcX/Othr/rVO372fq79pHuvdeEPv/C8N77ilZ955kN+%208JQnPraRr2fqnxr60de+p7HvCe9LOfR6Fz/oyW/+87/g58A/vfXlDP7w6373vm+/++n/z+b3t/rz%20+t8/7j0//fXvGfelnv29mfPNnwAOoPwdYO71X/nx3/KJ3v8BIG7YErE9gLldIAaaWwUKWwZumwd+%20ILxxoK2BoLSVoAWKoAaqYAhu4O9NoO29YAzKIJPh3wzaYPPdYA7qYPXtYA/64K654A+SmBASYRG2%20mREiYRIGoBIyYRPClRNCYRSSW/qpXRPWoBRiobtl4RYy4RVy4ReKHBiKoQ+eHBR64RiiIdel4RrK%204Bmy4RsWHxzK4d+VoRO64Rzi4YXl4R6iHx/64fH9YSA2IK5VYRcK4iEuICIqYgIuYiPy2R064hvW%20oRVGYiXenyViYp1l4iZqGSRy4hdO/6IhfuIodhopmmKpnWIqNpsqsuKlBaESemIriqIs0qIW1uIt%20Bhwu6mLDfYX6weIuAmPMBeMw5hwxGuMSHmMyxmHa+d0sKuMzfh80SmM0TmM16qE1YmMo/iI2cuOJ%20dSM3xuI30qE4fqM2JmE4kiPFoWM67ts6siMCvmMrmiMSumM8jp89GmM94uMD7qMuzqMR6mM/QqBA%205iNBJmNAGiTi9WIhbmNCDiNCOuT2RSQwQuRE0t4rnqNFUqRGbiRH4mJFemT9LWQzNmRIyiJImqSa%20oWRKjtlKsmSgYSQ9vqQ8ziRN1mQquuRNTtk/FmFO6mSm/eQp+mRQWh1RfiJPEuFQGv9lry3lUTbl%20JirlU67iSFaeTEqlJUblVUabVkZiVnIliiGlEHrlV6obWTriWJolvaWlIoblD6LlWgIhXB7iW8rl%20k9VlILYlGd7lH9LlXnKbX/JhXwJmMUKKL2bkYOKhYCJm1C2mHCpmYx4hVT7mlEBmGk5mZXYeZo7h%20ZWrmMhYmQx5mZ26maFomaY6maYJhXvYgZ6LmkrUmJb7mFrJmbMYaIZJkaNJmFM5mbg4hb+Kmbzrj%20Z96mVQInbBancR7nbyZnT8YkQC5nST4nc0anc06ndEocaBKnJ6hR7JTYPk3IBWEYeN7GACAAocxU%20MJjCcwkIAShAAyTUGdQICemPNvj/QJ4gmFNxgnfmzGW5l3gxlX9eTIE1k3hyQnMgB4GGYTyRp3kS%20Vnqu3oLWUoMShhqxp3tyQnyGz3yGj33+Z4J1wgIsVU5t6H3y5+gI6Ab5zgwYKIEhm4KWZ4SiJ3cS%20G4SuwHka04TKZ3u+pxNgqJFoqJFwKAm8lyeA6Az06Hq+xYgOyYmGTyisKIKCpTzRKM9IKPBNqd5U%20aWT5qI5e6Hb+qIAE6QgMqRroZwCUKIk+1ZguKXiiaN2oqJJAqbhJphnehi68TpEhwDE06W0U0ybQ%20Z24cgHQMAhsNAKHEgJ2KxwHEp2+5zXbGRZ4aCaPuDzmpAaQKiJ1MKi7JwDHl0l70/4qR8sxpOYEJ%20LMefxqX3BOorEaqhVlifKlmqctCqSgKimoeihsomdEv4PGr4SCqnFqilOoGlglM1IdOhfiqNhKoo%20kOpgyOipcg+sDupfsCqFuWqSQesAyGo50CoD2CoaSYijuoCw3qolIdKvykSupk+48uoZ2Ck1cUCN%20GICoLsGymmqMCdq1ZqubLku1Fhm+SuuscgG3LiqugmsLiKu35hGlnsHB1gqxqpCvqkG7gqreyOsM%200Gu62CIzViV1igLGohjAlEGKLgEOdKzIlsIjoQSwao2VxI9dGIUaRU+6UhDuOEHNNM8KaU7f6FLO%20Cpc4xIACFEDFLgEUQE6zst72qP9PAKSsyeYGyVZZ0i4tdTQC1B7WdkoDuhaFF9FsafVo7rSPIvHs%20yWQG0AptNxRti3IP1aqrvuqG006Z2hqsPkwtylbtdsYsC83s82zOdCEofe6p6uhqTI1t0OIG0UKI%20t3kP3JKAysqT20aZ4o4A4/rsjbZs3cJso8psJumtzsqAzWoMzu4s6NZOz/ZHC5Bt4VYP0+bidQ4n%20x4aCx5rYg+TptH6CcJQs216TUpiu1JYDwATAjubBdkpSC60A8LYArJjOmxrAK9SM/iDvijyv2K4H%20AsTSJzQH7cAu220PAOFUjVCY7U4Z906sIsSG7xqvYpDQ8JLQ+RLLrzjBTNHuFoX/T0JFr+BOb/V6%20wvWWLuI+qw90L+6OJwCvmPgi61NIgvmOqvDKr5Gwb/2+rwPEL/qGj/rOr/0GCfXmhv4ebpT271ns%20rtGKAvhGGQH/LO+W7yOxr50aCQUzsBM48BroDfNGS6XgCQ2XigXPAAbjhgZ7Cv+y7sZa5+uqLog1%20QvYu8O2CMOBSCsOQ71N0ywhyQHmiVRQ7EQG47Hh5RgzYRAsUzssOhBdbBA6/RXvlhglkhxEfbbN0%20C7+2gZQOcYqtcb00MdiIzxJI8XvmaVxYsSeshtScgVfscXVl8fKMcadughnvLwdvTxwzsYK+MYox%20ssvM8d1C8R2rqx5fcSAMsq7I/4Alxy0mC3FsCAAZ4wYib7CcLvJXybEjCzAcq3Ij/4M+PHGwDhQe%20V3Emi6hkzMAWH4IY9LFx/LKlcHIh64Yp97Aia+xuntknoDERL0Ir4xASh/CxYsokf5MfuwD+5sxb%208OvIvoO7vmn8cPE39/IUgHN/NMDy7oZ7UEUzBx/SUjOCxFM0P248c4gB6wMOuaw2h6gAdHPnkrP0%20Bok/qwHI4sI5k0Y64/ImsHMio3KzuM85/8I8u7OJRfQs4TN16PMS8DM3f4JBYwFC729Hl8Q/D/Ne%20qLNuNPQplyU8D4g8wxM9O9lF04c1gxA2m24P9LNJr0NAb8J4LBVIhwE2CPVLE/8ySi90H6z0MT+0%20cAJxUuKGJKRqARxAAkjDAsTCSg0XUhVKcCCAoCLARZCQQlxQAUXXOmT1Vs1qLBDAuUys7rpAc9h0%20EGFqVwEWpFYo+7YA/EwBFJNvDfE1LsxFYGOBXwOFAtT1cC3U36rAUikBA+B125AnWCc1ZTILhoaV%20XB9VZJ3QV8dPWGMEY5cAW7u1YvuGAhyAADQQZ4fsoZI2j/qvE2h2LFMHACX2yYoQXnNpWLyDYW+w%20bltoDBB2GBg2ICA2mS62gCaBY+cAZF+JZHt2RFW27G0PZsv2HZT11Eb3ShHEWefBa9vUaaf2ard2%20eX/3lZR2AcN1C8z25J5Tw/b/AWDE7W/s9hkMd41uQvbK9+JeSX0LtOnetpAmt3huMz049051NmX/%20ZXXH9hK0N4ua919sN2gnVSM0AHibNg2NN/bWAYFeOHrDtgfHdUY/hW17wn5Hbn8Ht333tnYK0jb1%20NUQdRXEXwXFf1IAXMXOzwIGHVIJ/9nTDoFMr8xTmNxhoSwpAahoNAxQoLVN1y3dYtQIkFBQggR4E%20gD8V8RDUa732MBQsec6INRgwuQlZA2jlql4fNXvPcCe4Rz5hraTCyRSEqP06Q6eEAe3YuXT9cRB8%20C+m6yRKjqJWIiiqg68FQuWJcOXWncvHycR1w+aGPQaK79138rgHlduQokZY7/3ojjLmlE08JgQIv%20nAdPk0CbY+6wuvA7zHmaKzGq34qci3Gfg48eAQKKt0+hY0SVx0/ZeuaynHmja3oRQLqV5xMvdHqZ%20r+25ZPoVbDmn5wyZN5fnMDoz68Ooe4Kpt/q4pvpRrPpcw7abRyoncIGsExKtF4GtE/rNMoOu5wyv%20g4Kd/XonNLuw7wGx0/ZTHPtdY/q0zvtH5LtvxbuLU4e1s3lWSLurz0Cei3MnnIXCF3j7cnusU/Ws%2081Ctv9WtqztCsLukd1lzBnGoi/kVWENo5+x8dksKNIAIjYR9rICOZPlR4Kh7x0LJ33toI0ExeFSc%207vl66PwWrAjxVu7oTHps1f8xQ3T4O0yOElgBQuvCLVg1mGdzDx3QG6jPYDNKyyu6s/R8mtfByuPC%20ikhCLNz8TkBEdjw9zPus2EcGTm09q7O2uP88CTX5STN1zR+SUhEEIGCs0l8DuybE0899qUv9I1E9%20fncSy8dKx29P26+sRng9FoB9Oag9XShD2Qup3iO9za/9koZykDA+DcQ93gu9Q9v9yYS+kQS+0C+9%2039sD4F+Ee9DE1FOu7Rz+1wvj4rsz5ov81Sc+hEw+zi+K2et+zNfD2Bv8vSfxMX++Cpy+gKR+49e9%20PhX9Sxw92u+8CKx+Ard+0At+7BP+7Ft9rWD9zHk8VN/Gy7u1VU9KijiR7yb/QDFVvzS8PPFTPxio%20T5IM/hWoDxCoNQhs4saV5omiI5lyK9u2zeagxLsGsbme/Z5CbAIM1ch3LP2USeDqNhoAC02XyGA0%20igS85nIJ3AHCZCe4zBQh1WnY+TyoihAlxuiwhlnZbVOcb0XX8oKWctZVRTZTcwKFM2QGeBgz6Yij%20g6g3qbVhKbVDJXmVlcfVd7qnV7jKMcaKRvgK9uWVCCe3IWgngpeZ91vyp5lLuUm2GYu2aPMoglks%20ChipurPc2Ax5POI5hbuBhcRpmuqL+lroeh6WvDpby/eWKIykewdsvjTfJWhovJ6YiRoQayYsvXg2%20yJvAHUKIcLrnTlpCEdxA/3kD10VcOXLm1JFJlwIAgA4dRHo8iTKlypUgz50JMGJBCgUXU4QaUgTF%20gAAEei04FC/aMKEoaEbDyJGD0WEFJkqEBbDNwhg3xqFgcMDBTRrT7pWBmaAfUXxRxRlYERbaUD0H%20Nih4uHFnzxI/y6JpuVKqS4V+ePoMqmopkqYchIjISXasUlyExT4tg8xfiqoxsGpdwcip1647LG/N%20HHFqJgFnR6TVvJFD27de8/mlK1kl3pXsCoXuO5dDXWlnBHchbHgD4qTEl/hm0piTaM6OlzOzesIz%205h23Idt9XjnrZ21bSos47djrario5P69zjKv8r2KzcO2lei4FeAjhldHJf9fRPI8ztWq7V/QBtCZ%20IN0ImYWXGhlgIYjKfdSNQBpaDyqmmlvkJeWebrGlNFsJIpFkknoijkjiSR3alshuGxQAHkwUBjOC%20QzsMUIAAQMFHoYMcuLjWPTw+0oIlzbETGUWF2EFAGQ24uB8KPK6BUBgObPCJk9488yQiUaLmSAAD%20lnDTGskJUWViAtFoI3phnJiSkMolo2MwNQJmJTZg4tjjRj/iQNWNzWyWSZJoIKkkkztkmcaW/hWq%20nwmI7qEoXF1+yUGYiIxJ5YWToLkhSmye5CZ/cPKVAqd41vlnpaemtsSetQUIEDZ5OiZoGYQqYmgM%20j8YI1WNXdcLoityxMGn/DJamgWmZxUVlqq95fepRqAGN+qKcafKWiKs/HGumj7L2GaudCQZ6JLC4%20NqrrlYVMqWwJuzrjqLr/sFFsC9yOkKymzM6pJodijFQStCUOTPCIAjNnQnAigEYqCt7xgwJpXhLX%20kYM6WvwOgAqDZ4KKCAxHcQkJrABxGDM0gIYALgLh3RpIARFHuyW0jAhGNKfxMmo7xghyCTNsUcK1%20MsXLIMUSc9FpDAefs3ELHtvXcNAGTEwnoAliDE+/JTSdwtMXmjDyCCUPtAHKZajs68175Lzo2SvP%20XNO8MPAoIwo/Cxh0TCfAVPQZR4dscIlco+A1q4n8XfW4V0dNi7MoDH5C/+GKhz1HISen/HYLao/A%20ts5km00G2s61yrMMEOYtwtDuUqMj4lqbKLiEXZMM9YuuY4v7VIkvm7XjJ0DeMe1fi0yy5WVjnnbc%20ZMQcw+ajwH3UsPE60zMHd5si9N6sR83B7QDCrjTAIRZMfvkkLt32CTut8EmcFdaXws/th5t7a9xj%207cbpZFB+vOeK370BjnWjejH4AxB2swbVAUFlysIIAhGhugemQYFtE525UjAlc0HhQG2pleEAIb+O%20sAJ9rOAf6IbnoBBSDDCU2t19VkCpFJgwff+TXRmoQMAWGDAGEtwDBSf0PQ7sUEPR+CGDLOjBE2RQ%20UBs8QQf7VgUVJs0jJP8sxAz9xzs9SHFVo6Eh/rpYhisWrYamKQQOCzHE2RWxV/05IxrSWEEeJdEE%20SyxBE03wRH2BUATz852/SCRGFEZti/UrhRcZl7EYoiCQVpsEAAVokRyWylc91FvoAtDA4K3xPUMx%20InmQGIM6cuCOJcij/faYKcCJ6EQfCpj5XgnLP3pkEwzwDmGc940WKOAmL7vbuFyISGngEilLcMQJ%20gbCUOYoQcI7oXAtsxBrbOLN73lBk0DBJOIxcaw3j2CYirEmca11wkTcpAAKgM6VjZtEEvlwmOgiW%20TBqu02cZ+5oxjaW/bm3knmiIJxaZyblCQJMVuYyBN9MATndSR5vVlJ7/CcSpTA4koJznREE6ociH%20dqpSPVUshD/HOE/r1XMz/LRJPkOalJKS4aPDA+jzzmahdjjzoHtI6EYfGlNpOhR1RmrBRPFVUSX2%2075Qw0OgU1dHRfm5DnvcxKhftOAJ13gloH5yVSsPA0kZGpZkCzSksZtrQMDAwmziNRjfDijCIxuCn%20+gkqHYdaVXaOlGCsFF9SY4lX8921YqcJDoz4cC11DkABu/jOCY7lJ1XcR5yb0Qc1RXDCJWRQWHh0%20piMgOYlDtIV660ol4b4xILjai6rzOYEAqFAyg1hyquNAlwlC0VrKyk0nxSNcACB5WOFgFAaIfV0L%209lqGy2JxCYydav4K//lW16oGHMGJbMOKy4HJJucA0xQuSEO2WZx0VmY/MUBopfpa0ir3tMS4bne/%20m1u8Icc60hBGeSN32zC4kajh7V0QkUow6woSsEvoLXJLIF0nMjeq9OUpDAJcWSDoV6sSyW7dyMAu%20p4HWEOBl7W9Mi9p/WtSzkZuwCiqcIPeObQHxHeBu63vc+54DuGFY8C+bAF3/KjYRCC7lgCFb4Mfy%20ocbLVXAZr6vZ0qEhwrPzLoW7od7SPjTD13iEAmF74fTGtkn+E3HXShzJExtXcav8F4hYnNcwB+4k%20b/BgT0fJi1IqNxiC4vEKUKaiMYLBOyhLwI/SuwE8OAAcUOjFZvezBP8GyLEIaPLxEEIbFb+5aGJm%20jBT71EdlFGzWz2lGMT9Uaw88VnrSkt50pWf7WbEJNcnPHGdc2wDno6IAzC12BqIlQmeJ3hnVRJTG%20TfSMBUFvg9A1qsOiw5IAacXazoEetBB7bWhGM1gVolP2DR0dBUiHgdPv64Vxx5bZaPthP9SmNqg7%20LOrkKtJGynwhgeNcMFbvAArOFuGwZ52KVCfi1tHNtbELzQFdDwHYwiYwsZug707w2prsfrVAFO3q%20VRQA2nyUNhC6/WlVVa6lKFi4WspEI/ZSw2OjHrep9RnvWqv4FeoGV7tD9u7GHQ/dKMZ1vu+NbH3H%20N9hz9je8A06Agbf/+tBAPtyibQomhnM44w/3dJ7xfGlsWLvaaj66E42+dCCqceIAJm2py92wN4uc%20fHX9spi/DnYT7BWAziVAWP5wGvIycUXQ+Uk9lgo9Z9BoBNHUcZLFOY7sig2GfsBBWtQOVWQbeBzu%201TYQMhiABZiCAcIYGwB7IQASUx0NIxvb1jBDaAIkNA6COouy6AZVbICM83CTGek54Hklaf0E/FtR%20H3FQAAWkZUo/xDvx9OedIcxdBHUfYfkQr/g6ND4Fep8D31Gfg917tfAB/OsLMI4DhT39BQoj/CNk%20hkFnBD/fw7fbCiAv+fdSXvy/w7wQNb88c6Vee/Aa9eQvb6DMD+j0/+s32erB9oICvD7/sq967Y/P%20P6aQe5h0E703ZgQDfIvXfdNHMsc3gMpXd8yXFsw3dNEHBsWXC8cnRNdXBgkofOF2Ao8XNOFneUBQ%20eTGgMA4gf+nXeRy2M+2XXO+3SOSXMOY3AOhnfwTGevm3fysQe7O3Af+nPwEYd7pXgOlGPh7IfSCo%20adTngMl3hH33AhPIgVLYgFWAgdVnhY8GYdqngExIT5kWeS5Sgjtwgi2QgisYBvTngqCHZqJHWy1o%20eurngjFAdjPogz2IL/0XXUGYArYnUU8YIxCIhOHjdWGHiHmVVN/iAgmQAEbBh5EDBQRAQa2XCk1w%20FgHwMUIEEyXDJ/9SwRaTKBPscABQoABtJ4pDYloIABMBcIqDsmc5YAAOEHWXCHsKgH1hIAS16Afe%20QQAIkIs+BYkCtBOh8IbNoCiPyHu4JVHDOCyfqCJTmHuPgAdUYHBs8InIp4mE1ongQz4MEIsxMou8%20WEqpmAyZuInrMzalyHtWIQCsOASvuEhGQQBScAbs2AmjCAbv2IryaCvh6AzjOCT8F4wM4XQ65IvA%20aEXOqBMBYIygCAcJmYvK6BbMOC0/EI1oMY04UI2kBoofCTfbyIk0eIAEA44DKJAxgI+UeIkmgI7c%20SIP46I/dA4+uOCAUWY8Us5L6WAX8GI9Ad5KySIsD6YO4yDQHWSr/ErmQy1gqDmlf2fg4SKkTSik3%200IgNCbCRL9CR18gC2fiSI1mGz1I+QSmOQ6mS5rgEX6mOxGeK7liTMyky9GiPibCTLflQbwmUADkE%20KSkqBHmU5ChEVBlGDKk+TkkCmMYrMkSYismUVRkLGWkaWfl9qsKVIKmN6diNhfhbdpWInQlLJeeZ%20oSmao1k+2UCaR4kNkdaZoHmaA6NqrQmblBApsWmQqUmbH3GbpPmauUmbpsmbQKAwsPebSjOcnrmb%20xambs4mcwZl/yLlqXuZKzimdrTCd1Wmdt2kjYTmccbCJrGcUsMma14kifiSeopmd5cmdIEOR1hme%205flt7omdJOmc/+k5j+QJnvAJS8eJn3h1nuJJn95pn63ZddG5n/dZoAeKoCQiBEBHm3xDCaqZiO2Z%20oFw2oYi4oOXpoIMAobkpoROqnxVKMBcqnhlqCBt6mx2aoB8KorHDoLFJoipgorQ5oOOzohFaozeK%20ozpUh9O5IDLkhwKao3mhokGaEsyDoc3no570myiKoENKpCdhpCOKpDOopLzJpAfqpE+qDlF6nT1K%20pewJnTSqpbF0pWNqpmJmdvAZB5iEGAlAYgdCmmW6n4B4pq+Upu65pgPQpm96nXIKn3Rap+Vzp+ip%20e3saAHDqnH7qnoAaqAUzqP5ZqGDDp2BqiATaqFx3qZmqqV93kv88MostGmaK6p5QuamlGh175qkO%20AKqnKariSaqmaqqdyjmqKp6tep2vCqubKqtXQKt9Gqa2OqbAmqvDSqyrWazHiqwrKqzJyqzNWiLL%206qzRKq3eGBKcOa0kd63Zqq2suq3d6q2ICK3fKq7TGq7jaq7MOqPliqPqeq7tOqzs6q7xWqrwKq/1%20Gqj0aq/5qqXpqq/4qq//uq4AK7AA668Da7AHWrAHq7Duya/5mrALC7HV+bARS7HIObEVi7EnmrEb%2026wNa68Xy7EhG5ogK7IlC64mi7KbSrIpy7Kv5LH1urItK7N0NbM1+6Qxa7M5Kxs6y7MV+rLyirM9%20K7SrELRDa7T/uHm0SUupSsu0Fvur/dq0UTucRSu1Sku1VWu0V4u1Qvuz8aq1CdoATSEruHoSlFOQ%20spClrwViA/u1W8uzbeu2Ngu3cTuzXeuucwufB1AALCJXPelXrBBRIWmR6lBYIxcGwca3FIu3dNuy%20i8u4KOu4j1uydtuukWudPzFHhwBHZPATZtgJq6pxJXIDZ+uwkmu6Yma5p5uxqau6FUu558q6zjkl%20VDYJNLEKm+uSgasSaWslpAuzrQu85RO7wauww0u8Bvu65mq8v/kHMjMLaoZGviUivKs+EYe8x4u9%20XZa92+sp3Ou9+FWpYuq1C6trQod/PDBk1DuehosGrQixy/u9/78bv/NbBvBLv7D7tKWrsIZRgksw%20AypJBQVwACMTelA5AAgQCpoIHYQgAPTIiwsQwDypCgecwG6lFwzQEMrCvwtrv/ervB4MwiERwiPs%20Ifn7sQpbWNjXXwKxWVJgGIAyumGIZXbHfEuHNhODANIXIJ/wMzPMWDcRJY51vSQ8wh1MxNlqxEdM%20riYsvwZ7N7jVAwzwnZPBB2exGaXBMLLVBth0Nx4EBaCTey65MJfCCeeEeHi4o1CrxB6cxGvsrG3s%20xujKxECrsEtBQOKiBWZDwItjX5xgbfmQT9ClcpyAMoKGTdFBd8Ubx/QLx4t8rI3syMSavOMKyaHJ%20LQ8hAFDQAv88YkRw8Bpbl2PygSGfzHJtYE1wN8SRzL2VrMqmysqtrLJzPL4HawykI2H4wjHG0Cwz%20phiPAji7THFWo8awjL2vTMyXaszHfK+yfLcKW8tNMCUo+AIHMgneo0cp9jXWLMzbfMLKTLzJ7M1m%20Cs7hvK/MXLnObBdLsMd0UZhcGDKExMuzsjvwHMwU2s3krLrjjM9Bqs/7HLDh28/Cq7COIHXoawK9%20V0v4kiBO9V/F9GOowNDxzB0x2sz+bLoBbdEgitEZPaGTLK4bHUt2LE8AJghT+rcUI2PXHIOZUbgo%20xsfLUVgG+K8gzdEIStM1vZ83jdPw6dHfqtPlIwxQHBUzMDT/43Rm9LZnIVfKKMUjwLYVpqB1Sy0Z%20lLO2dLzTbvvTV+2rWl21Pe2tWU0+hheC7sx4pTE/aYp2W2hYDxiFdmcKRNh07BMLbJ3IBmaRQsy2%20XI21YK3XidrXUevV3crXIfp+YzuFSuCIi6kabSnGIrmW02KZ3aMAMDEXAWAAC3AAiKGWmRnZQSCD%20BPvXgB3aTDvYo82h5oy/C+u+07raimzaSVvarx2bsS3bQArQw3ywLSytfwCYuF3bb/vbXBvcPRvY%2020rbJbKm0goTVerbw12zx+3cxhrdcovaHxyxp8esN1DV+jvdz93d3v3dMlvc2grdJTJRjzqsE5W4%20EVve4Y26/+7duPDNsuONxBkbtshaANs90/I93/wNuf5tsvR9re0N4AJd4CJL4AdOswq+sQK+xAy+%20uhDe4BKOsQlO4RxV3ZR84Yq74Rze4Rz84SB+29wd4nld4gdr4ScOvioO2iN+zyze3DDexDL+4jRu%201Zt5iDVu4xW94zPe4+f847OM45Z640Ge2kYO5Ehu3Uqu4S7u40wu2FC+5FIe5VT+1Rn+0VZ+5Vpe%205Vxe317+5UMuvjwO5tKa4lx+5lae5lTu4GZe5gP+5nAe59G65lLe5nQ+53ie52+85x3b53Ls5PL6%20AH+erINO6Mhq6IdOrImu6LnK6KtmrY0u6ZNO6ZUu4a005v+WrumbzumdztWYXueeLuqjTuqlvq+R%20buqpruqrzurfjOqtDuuxLuuzTtyvTuu3juu5rusobuu77uu/DuzBbua9LuzFbuzHjuw3S+zJzuzN%207uzPnqjLDu3TTu3Vbu2KKO3Xru3bzu3dPkLZ7u3hnrKGrb6IuBOHLO7p3qigru7tLrPteAqZHKCA%20+3WLRj666+75Dq7gru/9brBaDAZUUCKdK2b2TjAE7+8Jv+85rvANT8tlAgb/OyK4+0rn7rtbOu8O%20r/Eswe8b7/HfKtEEwr4zIr3bWfIfj/LfzvApz/LxWu4xOPKxOVkx3/I1fwLsbvM5P67ZdgQYrHvq%20g8DOYMH/iAn0FbzAPdDAFNELGAwT+rcedjOJznUESd8J1kb0kij0LaC3KzLANK/z1o7zXy/22VrN%20PQDEOyzDuQwQMSxS+2Za7LMnjrgnNnwGN+AQZ8EP4lTDVnMDrGH3VqHbLzz2Dh/2g2/4zFokuSAA%20Z4x8XIEsX4PFZJwHfNvFXBxQXgEFn5Amp5F8bW/Ua290XlzFXn/4zV74pY/6uZr4hRwAhzzIm/H6%20YJQKsYVcQkx1kwlyzkf7VaKD65z67n76vy/8l5r4X5IhUi0PpAxML2IcjHFqHZEfL8XJw9/vwU/9%2016+lib88/PJfOsH9IZ/7SaEtc4VSLzgrKrLe2B/u1q/+/+1fo9q/A9qsOPKf+4njD1+UY4Uxze7v%207SAAAF0ncieaqivbui8cyzNd2zee6zvf+z8wKBwSi8YjMqlcMpvO524j3bSm1FZDOjhZVV1VdrPl%20fFFl8jR1RkvNU4HrLE+r6Vz7aRCwjqH+P2Cg4CBhoeEhYqLiIpIIiQljpOQkZaXlJWam5iZnp86a%20WxtL2BVb6Z0oCmnoqWldqutrKcFUQxzeHCyHAa6UwQoDr1SBZ7HxMXKy8jJz845jCYDzNHW19TV2%20tva2JChqK0qB3dqaeCp5Lyx6qsMUMcrB77csfcqAnUCtWQIKAh43wIACBxIsaBAHNEgHFzJs6PAh%20xIgCvf/FWmHF1oJyUw5wcPDrIoeM/3KdWleKwR4pBBhwGFAAzjxWKcxt4OjxBK2aJw4MU0Ogzk+J%20QocSLWr0qIuE0pAyber0KdSoBEltsKUi3xR+K4RJCeByigJ7VqTw47rBK82wJ7CSXWsFZoK3KNhu%20gNlyrJa5cjnEfYPi3litAsQFpfUSKD/AWqUybuz4MeQlSiNTrmz5MubMXvCm+4eCVwAELPVsQLDi%20QE4FdkGLbrnHNCtReL+dG5tCAII9AVTLkm0bXmq7JxbkJLDAYoIECqQoWKz5OfTo0g9Onm79Ovbs%202rdz7+79O3jH1cOTL2/+PPr06tezb499vPv48ufTr2///z7+/Pp1wN/v/z+AAQo4IIEFGjhNfwcq%20uCCDDTr4IIQR+peghBVaeCGGGWq4IYcAUdghiCGKOCKJJZp4Igwforgiiy26+CKMMXanoow12ngj%20jjnquCOCI0TDI5BBCjkkkUUaGQSNRyq5JJNNOvnkhUlCOSWVVVp5JZbbSZkll116+SWYYQ60pZhl%20mnkmmmmqCQiZa7r5Jpxxyvlmm3PaeSeeeeoJZJ17+vknoIEKCmGfgxp6KKKJKlpeoYs6+iikkUra%20VKOTWnoppplqykylm3r6KaihigpFp6Oaeiqqqaq6QqmruvoqrLEm2qqstdp6K65n0porr736+muR%20uwI7/yyxxRpLorDHKrsss80SmKyz0Uo7LbXmQVstttlquy1l13L7LbjhituQt+Oaey666SZTrrrt%20uvsuvIWwGy+99dp7rw/z4rsvv/32q6+/AQs8sLkAE3wwwgk3a7DCDTv8sK0MQzwxxRV/KrHFGWu8%20MaIYc/wxyCHH6bHIJZt8Mpcko7wyyy0H66NCLss8M81hqlwzzjnrvOHNO/v8M9AG9hw00UUbPd/Q%20Ryu9NNPeJd001FFLfdnTU1t9NdZIVZ011117XdDWX4s9NtnNhF022mmrbcnZa7v9NtyBtB033XXb%20PcTcd+u9N98y5N034IHz/bfghRvuNuGHK76414kzTv8NAw6YQ4ADHAkQAEszMHCAR3X5sHnnwhW4%20+QIGhFYI6LyIrl3qnrPOueqPCw3zUrI/l8AeVjWQ0gZBzWBFAD8AT94BCOS0gQELHKBA8FHwUcjw%202XA2/QaZPxF9Q/5MX4ACfQg/RfO2D+i4+IZgcD766av/AkpVpdCX+zW0s4FaPmhfP1QX6L8///3L%208BUCOMIBBiwgJfLYAQOmYL1B3A8TGnggBCMYQRgIICcH5IAAvrKBd/ihgcvIAAhDKMIRwoABqUFB%20ArTnux94sHwBIp8LB6G+GabvBdpbgfYWKAPteY8HIumhU/onRP5RkBYBcM5a9uCAHiRwg0dYgFVo%208EP/B0qwig+MgUiimAJawMYPU/zgCMMYwhhoT4scCEMXffDFGP4HhmwEBA3j+IKUAKN3NzCHDneQ%20kzw2ZYh+fMHl7NiCjJgRB2FYYhHisjoY7JGKVpRgDISxyHwAsQmNBKMYwxiDlKyuK0G45Bv348ZQ%20QiGONHzBFIBYgEJSsCdAcKVU/DhEFwQyAIt0CxJxIAwBDuFy4aMBLC3xyCrGwJNV4CMTgpmMTIqx%20lWdhgWecx0FS5meU1GyCKWf4AnNM8wQGQKYL0AgEwCAylrL0XwtSwko1+CCaPjjAHvD3PymUU5jD%20nOALeEI/e1wQEORsBjM1+QJxqgAwK+TBP69ZTdop//Qg2VyfC0QiyB0sRwxrWc5hWLAAcTgAMPjT%20Hi8LyrwNboF0vNhCA4xYT5HuoQBjYMAAcvPS3MQPOL5YwEZZMICRuvQJ50QnDn1hhI0iTyQHHQ5H%20PcqCFJpDLQkwixZ2Os2MeA+kLGAAApoqHJjK9ARYzZ0S7olPF/AwBQE4Tg+YypyrZpU5orMqMNpK%20v63G1Ctepek6idrRtR4hoCR8QUWBmJKQllCuvEkBXFew05aWFHYWbcdKQ5JUvqpArfvUKU+BqFel%20NlQb1uwsEh5awxcc76g2oONdwLKCCrpPAcLQImpVcIACfLOJwRvLbMeC1hTMtrbGtAJL4HkGwHCE%20NP9p5EBvGWBbn/50f1fdSBG4iNwp7HYttLCFa6VQyOUYQIDI4wBNpsdLY54gtiloBwES05ZvBJd3%204CCCWCEIAzwOkDS3rAF3vdtP9Kp3A84xLwr4m9rFABe57l3tdTmQ3ZoWwa8ihIECVZCT475AwIox%20qy52QlvletI28zsFa7H72hXklwv9TO5y55LgBa8TtGZjqIsFIlr0UZB3K8kBVn4CmClEVol5iLBb%20vqsCfxyQDvok6Qm090sOEDkUJ+iLjmcTjlRkoapCZgNzm3uBUSgTCLSoX1ZU4OPUVu820j3B/II8%20Te3tNid6uTIKjGg9oT5ZJWR2pxDie0UXNBEvS77/AWu7mOY4n2XOV8ZKPzkgZzccEMp3zvCYdwzO%20Hzh4jC7oCwcFsLuzVLIFi77DAREd1CKLIgzNOUOkgWzd0gQYFk1GBYYRKekYX+OztB7CjM8Xg0B2%205b4vEIkD8mEaYfTQMH8Jpkiqy+Rn/pjV072sk/vB7NTCBtiXW4lBX9HFMid52oChcBK0rD8WCCOy%20PgCNoZds7GZ388t1eIdI0tjENAbggMmWsHZfgQJrBwDbdk6CnjUwUHreFdo5cLcbOJgTLdrh3lvM%20d7RDQs9rw/TfhOYgYLpJhEqD8NfDsAL3Ou1piMN6OFJQtj/C9+1mD8AAAuBF/dad2nYbHJYpP7az%20/xXtRHbf2hq27jkQco0BGfB65zYgtl05AOAw9CHeKZBkCpiOAt1kLrElP2Neyltob2qhALAp40z0%20AYasK33rThD3lleQklz2IAy71Sf+pG7ynC97ybkRYE4IS+ck9wHqrTY6X+xAbK93m8FGCDhgpRBS%20i+rg5ogNgADnN034fUYKwpH8+wTf9a+THOuMlzjdG8zxF+xyB5hHoeZddwK5lx1zhW/AFuAJE9Y7%20Xdp2h/zqyU713H++9kB3xs9/3wOha44m5oawSsagz4OK45fErsOSW0poW065FaLWusLPYpcpGKCL%20nOTt8zCcfepnubnQzLAPUmI9sE/Z+WRv4vEH6P+ZvSsY+inos/fm5zvue9/yYdUzKukCt+EA/PFZ%20Kp2XxZGX/JFdRySgL/Sf6oHXtO0CA4pepQXge9EA/iHgRClg2Y2fXRAGuDXf070fwbmA9OGE9rVf%20CX6e8C1D8L2gDhDfCtzYVaSExsHAkXUR+zVbF/UZ+Bmc2yVAAZWG9TTRQQGG7pwcEb6G9RyZ72CF%20xmmP//HeAjShEfoB2p1fBu7AynmVX/ggCgDh37FdsyXa3iVAH8AdB3aTOSASFL5ZDsIXALaAowHB%20/JhhAwKeBG4AHFLWHrrhCcahmolFzpEhEnBcBrjA8pmeMr3hTgDiEBZhawQZARAWtY0hHuRhODH/%20ISVazxcuYBfKoCfEICneAA3en04oFp61wOmdgDkIR0XxklEhFgNyBW01gA4dkgoIQ+bgogHoogrM%20j+uh2QmqQEVBGzAK4x9sYQ2iHw8ElrQB3izum8Xp3ChWlLKhwQF9FAPmRD3BT+YQo/XMT/zlWR2y%20gDl+EjSqoB9mnhRU3TceY+DFozGa3R7WUzXOnWkNgSK6wDrqADjCI7eVVeUNQzDu4jWiwD6C3gq5%20mQssow41ZC2eojKYokXSQCqqQui5wZ8xkuLJoZilAgNAYvUtUCs2ZD3uVisuXNitovxlzvFEnCA4%204zDaYxCoX5DRXWyVJD224vfh2xU4gHPQVyg4/0e5ERqDmQMmFgHijZx/ucAA9OMtjGKYHWQ5GSUq%20IOUxumT1hVRPmmQijh5UNiUwrRfXvSMs4uTVkVvnTR1JiiWWVeUcxSU9ZmQxYCRexsBGuiMfSQG4%20YSAHigYH2YECMKVI6htdPtwKtSIepFgkjgHltWUg2OT97cE2IlZgLqaiSWPEHWZIHmUL6NNHCgNy%201ZMUbsYphEFjwgJkAlw6WkQ7VpkNXCUXRp3FpaZi8l5rnsJrzqWCIWYS/ONztePvwAJrJiZNymYG%20GqZwbiVn3uYJgCZM7mUpwph1FkSfHVUWFGNGZGYQ4k9OtNxucZIJHVlLhAVBEUcfVmICpNQS9f/F%20BS0H8wFm5rwn5aTWBZmaonFERpBaF5mDe8InJtwD+alAMHTRdxaT5ZkQ7sTjTmldXZxnGkSognWF%20YDSAASyR013OasRjP63nT0AkBu3BCgHGfq7VJTJCGCQaX4CGNYJnClTUEa2FhiISiQbSCokoNs6F%20iRpiiu7TipbdhF5ihcrTIbToIG2AjCqlj06U51XbTwjofRJoI7KAeRppG1gojWbohq5lFvIFgRKp%20AFDoliJpdl6CXqYpEFBFTw1QRhxoKy4bg1mBN6YS/ChAUFRU8nBPJPqZVRAjP7AWkh4Z8FgFm6WA%20UeUnBb6jgT4hZwRAi0WCcC2AXRSPpO6mCyT/o0WBhe9QoRjkaRS6V1egFZ86QNKlJQGIDp9ulFPl%20WwLQwkolqjX2DqMqwoNukPXg5xRsm3EmkZ/tVl/YQqyqJUPelJ/WI7HK6pCdnKKqxK2C6gCIKiPk%20akapZgwMK18w64wiq1oYKvgEqrOygLRSK7COxVnBQ6RGUbl6Kptywpq+aw8QAGw4li+Y0YJuUxUa%20Y7reHy8UAEf4ZAHsFmvRT0ihBvdp0Xg2HwKYIcLe60s6x2D0Di95xfKcRSXaFMR2goamRL0VUr7C%20wL8KEGhUVzBsUMCKw8BexUghjxYlAMPq0IhdRWqEVLFuUMZWn8QShlkSAvVwhl2ELCC1bDCu/8DN%20el0eFawC2GxOIO0KmMPOUqy/ouwAqWyTBsKO/cazXu2TNW3OrprB8tbxFG313dLJAmzVbpCyCQDR%20FtLDuiyCjmzarqy8akK81m1DNNEckggvbCbeFs7d/u1BJBSLGABVCq7gBC7iEoT26OGIHO7iAo7i%20Rm5AAJiIZATaNoCvUe7gYCfnxgcVTqqGWMGqfu7iTK7pXgNnlMju9GvqHg7qvq7szq6VxC7t3i7u%20Kont5i7v9u6O7K7vBq/wvgjwDq/xHu+IFC/yLi/zRonnNi/0Ri+cKK/0Vq/1Agj1Xq/2bi99ZC/3%20fi/4oof3hi/5li93jK/5pq/6Qgf6rq/7vv8vZLQv/M4v/VLK89Yv/uavhMiv/vav/4LN/f6vAA+w%20KNGOCBwwAiewAi8wAzewAz8wBEewBE8wBVewBV8wBmewBm8wB3ewB38wCIewCI8wCZewCZ8wCqew%20Cq8wC7ewC78wDMewDM8wDdewDd8wDuewDu8wD/ewD/8wEMcwCVhAEBexER8xEiexEi8xEzexEz8x%20FEexFE8xFVexFV8xFmexFm8xF9dwBZAAGIexGI8xGZexGZ8xGqexGq8xG7exG78xHMexHM8xHdex%20Hd8xHuexHu8xH/exH/8xIAeyIA8yIReyIR8yIieyIi8yIzeyIz8yJEeyJE8yJVeyJV8yJmcE8iOH%20AAA7" height="788" width="1878" overflow="visible"> </image>
          </svg>
        </div>
      </div>
      <div class="fig"><span class="labelfig">FIGURA 2.&nbsp; </span><span class="textfig">Porcentajes de control obtenidos en ambos experimentos.</span></div>
      <p>La
        disminución en la efectividad en este período se corresponde con el 
        incremento experimentado por la cobertura de malezas anteriormente 
        referido, fundamentalmente por la brotación de nuevas plantas de <i>S. halepense y C. dactylon</i> a partir de los órganos vegetativos subterráneos de estas especies que no son controladas por el ingrediente activo evaluado.</p>
      <p>Estos resultados ratifican los obtenidos por <span class="tooltip"><a href="#B11">Rojas <i>et al.</i> (2014)</a><span class="tooltip-content">Rojas,
        M. O., Cabrera, M. M., Pablos, R. P., &amp; Rodríguez, F. A. (2014). 
        Evaluación del control de malezas y la fitotoxicidad en caña de azúcar. <i>Hombre, Ciencia y Tecnología</i>, <i>18</i>(1), 1-4. <a href="http://www.ciencia.gtmo.inf.cu/index.php/htc/article/view/536" target="xrefwindow">http://www.ciencia.gtmo.inf.cu/index.php/htc/article/view/536</a> </span></span> y <span class="tooltip"><a href="#B12">Viera &amp; Escobar (2015)</a><span class="tooltip-content">Viera,
        B. F. J., &amp; Escobar, C. L. (2015). Evaluación de mezclas de 
        herbicidas en el control de arvenses en el cultivo de la caña de azúcar 
        en tres tipos de suelos de Majibacoa, Las Tunas. <i>Cultivos Tropicales</i>, <i>36</i>(1), 122-128.</span></span>, quienes en evaluaciones de <i>Isoxaflutole</i> GD 75 en preemergencia, lograron un efectivo control sobre un amplio 
        espectro de malezas mono y dicotiledóneas en suelos ligeros, medios y 
        pesados en diferentes zonas del país.</p>
      <p>Las evaluaciones de fitotoxicidad (<span class="tooltip"><a href="#t6">Tabla 6</a></span>), en ambos experimentos, mostraron que a los 30 dda las dosis inferiores (0,150 y 0,175 kg·ha<sup>-1</sup>)
        produjeron afectaciones de grado 3 al cultivar C86-156, las que 
        disminuyeron a grado 2 a los 45 dda. La dosis más elevada (0,200 kg·ha<sup>-1</sup>),
        tanto en el nuevo formulado como en el tratamiento estándar, produjo el
        mayor efecto fitotóxico, grado 4, manifestado en forma de síntomas 
        marcados de clorosis que posteriormente, a los 45 dda, disminuyeron a 
        grado 3 (Síntomas ligeros, pero claramente visibles). En todos los 
        tratamientos los síntomas de fitotoxicidad desaparecieron a los 60 dda, 
        sin afectación de la población. Efectos fitotóxicos como consecuencia de
        las mayores dosis de Merlin (0,200 kg·ha<sup>-1</sup>) han sido también encontrados por <span class="tooltip"><a href="#B12">Viera &amp; Escobar (2015)</a><span class="tooltip-content">Viera,
        B. F. J., &amp; Escobar, C. L. (2015). Evaluación de mezclas de 
        herbicidas en el control de arvenses en el cultivo de la caña de azúcar 
        en tres tipos de suelos de Majibacoa, Las Tunas. <i>Cultivos Tropicales</i>, <i>36</i>(1), 122-128.</span></span> en la variedad C87-51.</p>
      <div class="table" id="t6"><span class="labelfig">TABLA 6.&nbsp; </span><span class="textfig">Fitotoxicidad mostrada por el cultivo</span></div>
      <div class="contenedor">
        <div class="outer-centrado">
          <div style="max-width: 1160px;" class="inner-centrado">
            <table>
              <colgroup>
              <col>
              <col>
              <col>
              <col>
              <col>
              <col>
              </colgroup>
              <thead>
                <tr>
                  <th align="center">No.</th>
                  <th align="center">Tratamientos</th>
                  <th align="center">Dosis (kg·ha<sup>-1</sup>)</th>
                  <th align="center">30</th>
                  <th align="center">45</th>
                  <th align="center">60</th>
                </tr>
              </thead>
              <tbody>
                <tr>
                  <td align="center">1</td>
                  <td align="center">Limpia manual</td>
                  <td align="center">----</td>
                  <td align="center">1</td>
                  <td align="center">1</td>
                  <td align="center">1</td>
                </tr>
                <tr>
                  <td align="center">2</td>
                  <td align="center"><i>Isoxaflutole</i> GD 75 (estándar)</td>
                  <td align="center">0.200</td>
                  <td align="center">4</td>
                  <td align="center">3</td>
                  <td align="center">1</td>
                </tr>
                <tr>
                  <td align="center">3</td>
                  <td align="center">Guateque GD 75</td>
                  <td align="center">0.150</td>
                  <td align="center">3</td>
                  <td align="center">2</td>
                  <td align="center">1</td>
                </tr>
                <tr>
                  <td align="center">4</td>
                  <td align="center">Guateque GD 75</td>
                  <td align="center">0.175</td>
                  <td align="center">3</td>
                  <td align="center">2</td>
                  <td align="center">1</td>
                </tr>
                <tr>
                  <td align="center">5</td>
                  <td align="center">Guateque GD 75</td>
                  <td align="center">0.200</td>
                  <td align="center">4</td>
                  <td align="center">3</td>
                  <td align="center">1</td>
                </tr>
              </tbody>
            </table>
          </div>
        </div>
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      <h3>CONCLUSIONES</h3>
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        <ul>
          <li>
            <p>El formulado Guateque GD 75 (<i>Isoxaflutole</i>)
              de UPL Limited de la India, ejerce un control de Excelente a Muy bueno 
              hasta los 120 días de la aplicación, similar al tratamiento estándar, 
              sobre <i>E. colona</i> y <i>P. oleracea</i>, así como sobre plantas procedentes de semilla botánica de <i>S. halepense</i> y <i>C. dactylon</i>, a dosis de 0,150, 0,175 y 0,200 kg·ha<sup>-1</sup> de producto comercial, en el cultivo de la caña de azúcar.</p>
          </li>
          <li>
            <p>El cultivar C86-156 muestra síntomas de fitotoxicidad ante la aplicación de <i>Isoxaflutole</i>,
              manifestados en diferentes grados de clorosis que se incrementan con el
              aumento de las dosis y que posteriormente desaparecen sin perjuicio a 
              este cultivar.</p>
          </li>
        </ul>
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      <h3>REFERENCIAS BIBLIOGRÁFICAS</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <p id="B1">ALAM. (1974). Resumen del panel sobre métodos de evaluaci6n de control de malezas. <i>Congreso de la Asociación Latinoamericana de Malezas</i>, 1-48.</p>
      <p id="B2">Blanco,
        V. F., Coca, C. O., Labrada, A. H., Cruz, C. E., &amp; Machín, R. R. 
        (2016). Diversidad y evolución de especies arvenses en caña de azúcar 
        (Saccharum officinarum) en la provincia Sancti Spíritus. <i>Centro Agrícola</i>, <i>43</i>(2), 23-27.</p>
      <p id="B3">Ciba-Geigy, S. (1981). Manual para ensayos de campo en protección vegetal. <i>Suiza, Wener Puntener. P</i>, <i>597</i>.</p>
      <p id="B4">Domínguez, J. A. (2008). <i>Metodologías para la evaluación de herbicidas en campo</i>. Universidad Autónoma de Chapingo, Departamento de Parasitología Agrícola. <a href="https://www.google.com/search?client=firefox-b-d&amp;q=Metodolog%C3%ADas+para+la+evaluaci%C3%B3n+de+herbicidas+en+campo" target="xrefwindow">https://www.google.com/search?client=firefox-b-d&amp;q=Metodolog%C3%ADas+para+la+evaluaci%C3%B3n+de+herbicidas+en+campo</a> </p>
      <p id="B5">FAO. (2007). <i>World Reference Base for Soil Resources 2006</i> (p. 128) [World Soil Resources Reports, no. 103, first update]. FAO.</p>
      <p id="B6">Gallego, R., Zuaznábar, R., Martínez, R., &amp; Rodríguez, L. (2020). <i>Manual para el manejo de arvenses asociadas al cultivo de la caña de azúcar en Cuba.</i></p>
      <p id="B7">García,
        V. M., Fereres, E., Mateos, L., Orgar, F., &amp; Steduto, P. (2009). 
        Deficit irrigation optimization of cotton with AquaCrop. <i>Agronomy Journal</i>, <i>101</i>(3), 477-487.</p>
      <p id="B8">González, R. (2019). <i>Variedades de caña de azúcar cultivadas en Cuba. Cronología, legislación, metodologías y conceptos relacionados.</i> [Primera edición]. Instituto Cubano de Investigaciones de Derivados de La Caña de Azúcar (ICIDCA).</p>
      <p id="B9">Hernández, J. A., Pérez, J. J. M., Mesa, N. Á., Bosch, I. D., Rivero, L., &amp; Camacho, E. (1999). <i>Nueva versión de la clasificación genética de los suelos de Cuba.: Vol. I</i> (Barcaz L L). AGRINFOR.</p>
      <p id="B10">Palacio, D. E. (2020). <i>El registro de plaguicidas en Cuba</i>. <a href="https://fdocuments.ec/document/el-registro-de-plaguicidas-en-cuba-queda-obligada-a-solicitar-su-inscripcion.html" target="xrefwindow">https://fdocuments.ec/document/el-registro-de-plaguicidas-en-cuba-queda-obligada-a-solicitar-su-inscripcion.html</a> </p>
      <p id="B11">Rojas, M. O., Cabrera, M. M., Pablos, R. P., &amp; 
        Rodríguez, F. A. (2014). Evaluación del control de malezas y la 
        fitotoxicidad en caña de azúcar. <i>Hombre, Ciencia y Tecnología</i>, <i>18</i>(1), 1-4. <a href="http://www.ciencia.gtmo.inf.cu/index.php/htc/article/view/536" target="xrefwindow">http://www.ciencia.gtmo.inf.cu/index.php/htc/article/view/536</a> </p>
      <p id="B12">Viera, B. F. J., &amp; Escobar, C. L. (2015). 
        Evaluación de mezclas de herbicidas en el control de arvenses en el 
        cultivo de la caña de azúcar en tres tipos de suelos de Majibacoa, Las 
        Tunas. <i>Cultivos Tropicales</i>, <i>36</i>(1), 122-128.</p>
    </article>
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