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<title>Estimación de las necesidades hídricas del cafeto a futuro sembrado en baja altitud</title>
<meta content="norma neta total, norma neta reducida, escenario climático, cafeto, modelación, Total Net Irrigation Duty, Gross Net Irrigation Duty, Climatic Scenario, Coffee, Models" name="keywords">
<meta content="Víctor M. Tejeda-Marrero" name="author">
<meta content="Enrique Cisneros-Zayas" name="author">
<meta content="Carmen Duarte-Díaz" name="author">
<meta content="Felicita González-Robaina" name="author">
<meta content="Julián Herrera-Puebla" name="author">
<meta content="Yoima Chaterlán-Duruthy" name="author">
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  <div class="toctitle"> Ingeniería Agrícola Vol. 13, No. 1, enero-marzo, 2023, 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/v13n1e01">https://cu-id.com/2284/v13n1e01</a></div>
  <div class="toctitle2">ARTÍCULO ORIGINAL</div>
  <h1>Estimación de las necesidades hídricas del cafeto a futuro sembrado en baja altitud</h1>
  <h2>Estimation of the Water needs of Future Coffee Planted in Low Altitude</h2>
  <div>
    <p><sup><a href="https://orcid.org/0000-0002-4310-9976" rel="license"><span class="orcid">iD</span></a></sup>Víctor M. Tejeda-Marrero<a href="#aff1"></a><span class="tooltip"><a href="#c1"><sup>*</sup></a><span class="tooltip-content">✉:<a href="mailto:dirgeneral@iagric.minag.gob.cu">dirgeneral@iagric.minag.gob.cu</a></span></span></p>
    <p><sup><a href="https://orcid.org/0000-0002-1021-0680" rel="license"><span class="orcid">iD</span></a></sup>Enrique Cisneros-Zayas<a href="#aff1"></a></p>
    <p><sup><a href="https://orcid.org/0000-0001-7887-6289" rel="license"><span class="orcid">iD</span></a></sup>Carmen Duarte-Díaz<a href="#aff1"></a></p>
    <p><sup><a href="https://orcid.org/0000-0001-8245-4070" rel="license"><span class="orcid">iD</span></a></sup>Felicita González-Robaina<a href="#aff1"></a></p>
    <p><sup><a href="https://orcid.org/0000-0002-1015-6661" rel="license"><span class="orcid">iD</span></a></sup>Julián Herrera-Puebla<a href="#aff1"></a></p>
    <p><sup><a href="https://orcid.org/0000-0002-8453-3394" rel="license"><span class="orcid">iD</span></a></sup>Yoima Chaterlán-Duruthy<a href="#aff1"></a></p>
    <br>
    <p id="aff1"><span class="aff"><sup></sup>Instituto de Investigaciones de Ingeniería Agrícola (IAgric), Boyeros, La Habana, Cuba.</span></p>
  </div>
  <div>&nbsp;</div>
  <p id="c1"> <sup>*</sup>Autor para correspondencia: Víctor M. Tejeda-Marrero, e-mail: <a href="mailto:dirgeneral@iagric.minag.gob.cu">dirgeneral@iagric.minag.gob.cu</a> </p>
  <div class="titleabstract | box">RESUMEN</div>
  <div class="box1">
    <p> El trabajo se desarrolló en “Ceiba Mocha” provincia Matanzas con el 
      objetivo de estimar las necesidades hídricas del cafeto a futuro 
      sembrado en baja altitud ante los efectos del cambio climático. Para el 
      estudio se tomaron los datos climáticos del modelo PRECIS en el 
      escenario climático RCPs (trayectoria de concentración representativa) 
      4.5, este escenario es uno de los recomendados por el Instituto de 
      Meteorología de Cuba para evaluar el manejo del agua en función de las 
      diferentes regiones climáticas y cultivos representativos como el 
      cafeto. Para la estimación de las normas de riego a mediano plazo (hasta
      2050), en función de los pronósticos de variabilidad climática se 
      utilizó el programa de modelación CROPWAT 8.0. Por último, se comparó 
      las normas de riego obtenidas con las que aparecen en la <i>Resolución 17/2020</i> del Instituto Nacional de Recursos hidráulicos. Los resultados muestran
      que habrá una disminución del 55% como promedio, en las normas netas 
      totales de riego para el cafeto según el escenario RCP 4.5 en los 
      próximos años para la región de “Ceiba Mocha”, lo que equivale a 3537,2 m<sup>3</sup> ha<sup>-1</sup> con respecto a la actual. La mayor diferencia entre las normas netas 
      totales y las normas netas reducidas para el escenario estudiado, se 
      tienen en el año 2021 la que varía en un 87%, siendo menores para el año
      2048 donde están en el orden del 10%.</p>
    <div class="titlekwd"><i>Palabras clave:</i>&nbsp; </div>
    <div class="kwd">norma neta total, norma neta reducida, escenario climático, cafeto, modelación</div>
  </div>
  <div class="titleabstract | box">ABSTRACT</div>
  <div class="box1">
    <p> The work was carried out in “Ceiba Mocha” Matanzas province, with the 
      objective of estimating the hydric needs of the coffee tree in the 
      future planted at low altitudes in the face of the effects of climate 
      change. For the study, the climatic data of the PRECIS model were taken 
      in the RCPs climate scenario (representative concentration trajectory) 
      4.5, this climate scenario is one of those recommended by the Cuba 
      Meteorology Institute to evaluate water management based on the 
      different climatic regions. and representative crops such as coffee. For
      the estimation of irrigation standards in the medium term (up to 2050),
      based on climate variability forecasts, the CROPWAT 8.0 modeling 
      program was used. Finally, the irrigation standards obtained were 
      compared with those that appear in Resolution 17/2020 of the Hydraulic 
      Resources National Institute. The results showed that there will be a 
      decrease of 55% on average, in the total net irrigation duty for the 
      coffee tree according to the RCP 4.5 scenario in the coming years for 
      the "Ceiba Mocha" region, which is equivalent to 3537,2 m<sup>3</sup> ha <sup>-1</sup> with respect to the current one. The greatest difference between the 
      total net duty and the reduced net duty for the scenario studied is in 
      2021, which varies by 87%, being lower for the year 2048 where they are 
      in the order of 10%.</p>
    <div class="titlekwd"><i>Keywords:</i>&nbsp; </div>
    <div class="kwd">Total Net Irrigation Duty, Gross Net Irrigation Duty, Climatic Scenario, Coffee, Models</div>
  </div>
  <div class="box2">
    <p class="history">Received: 12/5/2022; Accepted: 09/12/2022</p>
    <p><i>Víctor Manuel Tejeda-Marrero</i>,
      Inv., Instituto de Investigaciones de Ingeniería Agrícola, Carretera de
      Fontanar, km 2 1/2, Reparto Abel Santamaría, Boyeros, La Habana, Cuba. 
      Teléf.: (53) (7) 645-1731; 645-1353.</p>
    <p><i>Enrique Cisneros-Zayas</i>,
      Inv. Titular, Instituto de Investigaciones de Ingeniería Agrícola 
      (IAgric), Carretera de Fontanar, km 2 1/2, Reparto Abel Santamaría, 
      Boyeros, La Habana, Cuba. Teléf.: (53) (7) 645-1731; 645-1353a, e-mail: <a href="mailto:enrique.cisneros@iagric.minag.gob.cu" target="xrefwindow">enrique.cisneros@iagric.minag.gob.cu</a>, <a href="mailto:cisneroszayasenrique@gmail.com" target="xrefwindow">cisneroszayasenrique@gmail.com</a>.</p>
    <p><i>Carmen E. Duarte-Díaz</i>, Inv. Titular, Instituto de Investigaciones de Ingeniería Agrícola (IAgric), Boyeros, La Habana, Cuba, e-mail: <a href="mailto:carmen.duarte@@iagric.minag.gob.cu" target="xrefwindow">carmen.duarte@@iagric.minag.gob.cu</a>.</p>
    <p><i>Felicita González-Robaina</i>,
      Inv. Titular, Instituto de Investigaciones de Ingeniería Agrícola, 
      Carretera de Fontanar, km 2 1/2, Reparto Abel Santamaría, Boyeros, La 
      Habana, Cuba. Teléf.: (53) (7) 645-1731; 645-1353, e-mail: <a href="mailto:felicita.gonzalez@boyeros.iagric.cu" target="xrefwindow">felicita.gonzalez@boyeros.iagric.cu</a>.</p>
    <p><i>Julián Herrera-Puebla</i>,
      Inv. Titular, Instituto de Investigaciones de Ingeniería Agrícola, 
      Carretera de Fontanar, km 2 1/2, Reparto Abel Santamaría, Boyeros, La 
      Habana, Cuba. Teléf.: (53) (7) 645-1731; 645-1353, e-mail: <a href="mailto:julian.herrera@boyeros.iagric.cu" target="xrefwindow">julian.herrera@boyeros.iagric.cu</a>.</p>
    <p><i>Yoima Chaterlán-Durruthy</i>,
      Inv. Titular, Instituto de Investigaciones de Ingeniería Agrícola, 
      Carretera de Fontanar, km 2 1/2, Reparto Abel Santamaría, Boyeros, La 
      Habana, Cuba. Teléf.: (53) (7) 645-1731; 645-1353, e-mail: <a href="mailto:yoima.chaterlan@iagric.minag.gob.cu" target="xrefwindow">yoima.chaterlan@iagric.minag.gob.cu</a>.</p>
     <p>La mención de marcas comerciales de equipos, instrumentos o materiales 
                específicos obedece a propósitos de identificación, no existiendo ningún
                compromiso promocional con relación a los mismos, ni por los autores ni
                por el editor.</p>
    <p> Los autores de este trabajo declaran no presentar conflicto de intereses.</p>
    <p><b>CONTRIBUCIONES DE AUTOR: Conceptualización:</b> Víctor M. Tejeda-Marrero, Enrique Cisneros Zayas. <b>Curación de datos:</b> Víctor M. Tejeda-Marrero, Enrique Cisneros-Zayas, Felicita 
      González-Robaina. Análisis formal: Víctor M. Tejeda-Marrero, Enrique 
      Cisneros-Zayas, Felicita González-Robaina, Julián Herrera-Puebla. <b>Investigación:</b> Víctor M. Tejeda-Marrero, Enrique Cisneros-Zayas, Carmen Duarte-Díaz, 
      Felicita González-Robaina, Julián Herrera-Puebla, Yoima 
      Chaterlán-Duruthy. <b>Metodología:</b> Víctor M. Tejeda-Marrero, Enrique Cisneros-Zayas, Yoima Chaterlán-Duruthy. <b>Supervisión:</b> Carmen Duarte-Díaz, Felicita González-Robaina, Julián Herrera-Puebla. <b>Redacción-borrador original:</b> Víctor M. Tejeda-Marrero, Enrique Cisneros-Zayas. <b>Redacción-revisión y edición:</b> Carmen Duarte-Díaz, Felicita González-Robaina, Julián Herrera-Puebla, Yoima Chaterlán-Duruthy.</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="#id0xbbc6c80"><span class="menulevel1">INTRODUCCIÓN</span></a></li>
        <li><a href="#id0xbbc8180"><span class="menulevel1">MATERIALES Y MÉTODOS</span></a></li>
        <li><a href="#id0xbbf7600"><span class="menulevel2">Criterio de riego para la estimación de las normas netas totales</span></a></li>
        <li><a href="#id0xbc23980"><span class="menulevel2">Criterio de riego para la estimación de las normas netas reducidas</span></a></li>
        <li><a href="#id0xbc25180"><span class="menulevel1">RESULTADOS Y DISCUSIÓN</span></a></li>
        <li><a href="#id0xbc25400"><span class="menulevel2">Comportamiento de las variables climáticas del escenario RCP 4.5 (2020 - 2050) para “Ceiba Mocha”</span></a></li>
        <li><a href="#id0xbc50e00"><span class="menulevel2">Comportamiento de la Evapotranspiración de Referencia (ET0) en la serie 2020-2050</span></a></li>
        <li><a href="#id0xbc54500"><span class="menulevel2">Demanda
          de riego del cafeto en función de las probabilidades de ocurrencia de 
          precipitaciones para el escenario climático RCP 4.5</span></a></li>
        <li><a href="#id0xbc8c380"><span class="menulevel2">Estudio
          de las normas netas totales y reducidas obtenidas con la programación 
          del riego mediante el programa CropWat y la Resolución 17/2020 del INRH</span></a></li>
        <li><a href="#id0xbca3600"><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="id0xbbc6c80"><!-- named anchor --></a>
      <h3>INTRODUCCIÓN</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <p> Durante muchos años la agricultura ha enfrentado como uno de sus 
        principales retos la adaptación a las diferentes condiciones del clima (<span class="tooltip"><a href="#B15">Hernando &amp; Cornejo, 2014</a><span class="tooltip-content">Hernando, I. C., &amp; Cornejo, H. J. C. (2014). <i>El cambio climático y su impacto en el cultivo del café</i>. ISBN: 9789070526320. <a href="http://www.solidaridadnetwork.org/" target="xrefwindow">www.solidaridadnetwork.org</a>.</span></span>). </p>
      <p> En el caso del cultivo del café, los efectos del cambio climático ponen
        en riesgo la producción y los medios de vida de los caficultores y sus 
        familias en todo el mundo. Los cambios en los patrones de lluvia y 
        temperatura, así como los eventos climáticos extremos, pueden afectar 
        los ciclos de producción e impactar negativamente la producción de café (<span class="tooltip"><a href="#B7">Coffee &amp; Climate, 2016</a><span class="tooltip-content">Coffee &amp; Climate. (2016). <i>La
        adaptación al cambio climático en la producción de café. Una guía paso a
        paso para apoyar a los productores de café en la adaptación al cambio 
        climático</i>. Coffee &amp; Climate. <a href="http://www.coffeeandclimate.org/" target="xrefwindow">www.coffeeandclimate.org</a> </span></span>).</p>
      <p> Según <span class="tooltip"><a href="#B13">GTZ (2014)</a><span class="tooltip-content">GTZ. (2014). <i>El cambio climático influye en la agricultura, la agricultura influye en el cambio climático</i>. GTZ, DC1010.pdf agosto de 2014. <a href="http://www.riesgoycambioclimatico/" target="xrefwindow">http://www.riesgoycambioclimatico</a> </span></span>, los cambios en la época lluviosa, su distribución e 
        intensidad afectan el crecimiento de la planta de café, la cual requiere
        más de 150 mm de lluvia por mes en promedio durante la floración y 
        maduración, seguidos por un periodo seco. El mismo autor refiere que las
        fuertes lluvias durante este periodo o la estación lluviosa rompen el 
        proceso de floración. Diversas investigaciones muestran cómo se afecta 
        el rendimiento si los eventos climáticos, por ejemplo altas 
        temperaturas, se presentan durante periodos sensibles del ciclo de vida 
        de la planta o durante la floración o fructificación. En estas 
        condiciones los rendimientos se verán afectados negativamente, sobre 
        todo si se acompaña de disminución de las precipitaciones.</p>
      <p> Dicha 
        situación conlleva a que los caficultores deban adaptarse a las nuevas 
        condiciones del clima asumiendo prácticas que minimicen los efectos del 
        aumento en temperatura y otros componentes del clima.</p>
      <p> En Cuba el 
        clima a futuro pudiera caracterizarse por los cambios de la temperatura 
        media del aire donde pueden elevarse hasta 4 °C, con una disminución de 
        la precipitación anual que, según el escenario, oscilaría entre el 15 y 
        el 63 %, acompañada del aumento de la evapotranspiración potencial y la 
        evaporación real (<span class="tooltip"><a href="#B6">CITMA-Cuba, 2015</a><span class="tooltip-content">CITMA-Cuba. (2015). <i>Segunda Comunicación Nacional a la Convención Marco de las Naciones Unidas sobre Cambio Climático</i>. Ministerio de Ciencia, Tecnología y Medio Ambiente de la República de Cuba.</span></span>).
        Ello indudablemente conduce a pensar que las zonas cafetaleras de Cuba 
        verán afectados sus producciones debido entre otras causas al déficit de
        agua, lo que hace necesario un estudio de las necesidades hídricas del 
        cafeto ante el nuevo escenario que permita una planificación adecuada de
        los recursos hídricos. </p>
      <p> Una herramienta básica para los estudios
        del clima y para la planificación del agua son los denominados 
        escenarios de cambio climático, que según <span class="tooltip"><a href="#B23">Vargas et al. (2013)</a><span class="tooltip-content">Vargas,
        R. del C., Sánchez, G., &amp; Rolón, J. (2013). Proyecciones de cambio 
        en la precipitación mediante Vías De Concentración Representativas a 
        Nivel Cuenca. <i>Universidad Autónoma de Tamaulipas</i>, 1-16, Tamaulipas, México.</span></span> constituyen una descripción coherente, internamente consistente y 
        plausible de una evolución futura posible del clima. Los escenarios no 
        son predicciones, sino posibles alternativas que dependen de factores 
        cuyo desarrollo no podemos predecir. En el caso del cambio climático 
        antropogénico, está relacionado con la creciente acumulación en la 
        atmósfera de gases de efecto invernadero. </p>
      <p> Teniendo en cuenta los
        antecedentes, el presente trabajo se desarrolló con objetivo de estimar
        las necesidades hídricas del cafeto a futuro sembrado en baja altitud 
        ante los efectos del cambio climático.</p>
    </article>
    <article class="section"><a id="id0xbbc8180"><!-- named anchor --></a>
      <h3>MATERIALES Y MÉTODOS</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <p> El área de estudio se encuentra ubicada en la UBPC “Ceiba Mocha” 
        perteneciente al Empresa Agroforestal Matanzas en la provincia de 
        Matanzas, sembrada de cafeto con coordenadas geográficas latitud 22° 59ꞌ
        25,9" N y longitud 81° 44ꞌ 10,5" O, a 1,7 km del poblado de “Ceiba 
        Mocha” a una altura de 60,0 m sobre el nivel medio del mar. </p>
      <p> Para
        el estudio se tomaron los datos climáticos del modelo PRECIS en el 
        escenario climático RCPs (trayectoria de concentración representativa) 
        4.5, el cual no tiene un tratamiento secuencial como los SRES, sino una 
        interacción que provoca un impacto y a la vez induce incertidumbre o 
        limitación, por lo que fue preciso realizar una regionalización de la 
        variable determinado su delta en función del valor definido como línea 
        base tomado de la serie 1980-2005, lo que permitió realizar el ajuste 
        necesario de las variables climáticas. Este escenario climático es uno 
        de los recomendados por el Instituto de Meteorología (INSMET) de Cuba, 
        para evaluar en cada sistema el manejo del agua en función de las 
        diferentes regiones climáticas y cultivos representativos como es el 
        caso del cafeto.</p>
      <p> Para la estimación de las normas de riego netas a
        mediano plazo (hasta 2050), en función de los pronósticos de 
        variabilidad climática en el área de estudio se utilizó el programa de 
        modelación CROPWAT 8.0. </p>
      <p> El suelo del área está clasificado como Ferralítico Rojo según <span class="tooltip"><a href="#B14">Hernández et al. (2005)</a><span class="tooltip-content">Hernández,
        A., Ascanio, M., Morales, M., &amp; Cabrera, A. (2005). Correlación de 
        la nueva versión de clasificación genética de los suelos de Cuba con las
        clasificaciones internacionales y nacionales: Una herramienta útil para
        la investigación, docencia y producción agropecuaria. <i>La Habana: Instituto Nacional de Ciencias Agrícolas (INCA)</i>, 18-59.</span></span> y el mismo ha sido ampliamente estudiado y caracterizado en cuanto a sus propiedades hidrofísicas por <span class="tooltip"><a href="#B2">Cid et al. (2012)</a><span class="tooltip-content">Cid,
        G., López, T., González, F., Herrera, J., &amp; Ruiz, M. E. (2012). 
        Características físicas que definen el comportamiento hidráulico de 
        algunos suelos de Cuba. <i>Ingeniería Agrícola</i>, <i>2</i>(2), 25-31, ISSN: 2306-1545, e-ISSN: 2227-8761.</span></span>.</p>
      <p> Una vez procesada la información de partida se confeccionó la <span class="tooltip"><a href="#t1">Tabla 1</a></span> que constituyen los datos de entrada a la ventana de suelo del programa <i>CropWat.</i></p>
      <div class="table" id="t1"><span class="labelfig">TABLA 1.&nbsp; </span><span class="textfig">Datos de entrada del suelo en el programa <i>CropWat</i></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>
              <col>
              </colgroup>
              <thead>
                <tr>
                  <th align="center">Sitio</th>
                  <th align="center">Cc (cm<sup>3</sup> cm<sup>-3</sup>)</th>
                  <th align="center">PM (cm<sup>3</sup> cm<sup>-3</sup>)</th>
                  <th align="center">ATD (mm)</th>
                  <th align="center">Da (g cm<sup>-3</sup>)</th>
                  <th align="center">Tasa Infiltración (m dia<sup>-1</sup>)</th>
                  <th align="center">Profundidad de raíces (m)</th>
                </tr>
              </thead>
              <tbody>
                <tr>
                  <td align="left"><b>Ceiba Mocha</b></td>
                  <td align="center">0,413</td>
                  <td align="center">0,223</td>
                  <td align="center">189,8</td>
                  <td align="center">1,23</td>
                  <td align="center">4,9</td>
                  <td align="center">0,40</td>
                </tr>
              </tbody>
            </table>
          </div>
        </div>
      </div>
      <div class="clear"></div>
      <div class="table">
        <p class="textfig"><b><i> Leyenda:</i></b> <i>CC: Capacidad de campo, PM: punto de marchitez, ATD: Agua total disponible, Da: Densidad aparente.</i> <br>
        </p>
      </div>
      <p> Las necesidades hídricas fueron calculadas para toda 
        la serie haciendo énfasis en los años hidrológicos húmedos, medio y 
        seco. Para la selección de los años se realizó el estudio de una serie 
        de 31 años (2020 - 2050) donde se determinó la probabilidad empírica a 
        partir de la expresión: </p>
      <div id="e1" class="disp-formula">
        <math>
          <mi>P</mi>
          <mi>&nbsp;</mi>
          <mo>=</mo>
          <mi>&nbsp;</mi>
          <mo>(</mo>
          <mi>m</mi>
          <mi>&nbsp;</mi>
          <mo>-</mo>
          <mi>&nbsp;</mi>
          <mn>0,3</mn>
          <mi>&nbsp;</mi>
          <mo>/</mo>
          <mi>&nbsp;</mi>
          <mi>n</mi>
          <mi>&nbsp;</mi>
          <mo>+</mo>
          <mi>&nbsp;</mi>
          <mn>0,4</mn>
          <mo>)</mo>
          <mi>&nbsp;</mi>
          <mi>x</mi>
          <mi>&nbsp;</mi>
          <mn>100</mn>
        </math>
        <span class="labelfig"> &nbsp;</span></div>
      <div style="clear:both"></div>
      <p>dónde,</p>
      <div class="list"><a id="id0xbc14100"><!-- named anchor --></a>
        <ul style="list-style-type: none">
          <li>
            <p> m: número de orden.</p>
          </li>
          <li>
            <p> n: número de miembros de la serie.</p>
          </li>
        </ul>
      </div>
      <p> Se clasificaron cada uno de los años de la serie en función de su 
        probabilidad. El de probabilidad 25% denota un escenario húmedo, el 50% 
        medio y 75% seco, según <span class="tooltip"><a href="#B17">Pérez &amp; Álvarez (2005)</a><span class="tooltip-content">Pérez, R., &amp; Álvarez, M. (2005). Necesidades de Riego de la Caña de Azúcar en Cuba. <i>Editorial Academia-IIRD, Formato digital. C. Habana, Cuba, Capítulos</i>, <i>2</i>(3), 4.</span></span>. </p>
      <p> Las fases de desarrollo fueron tomadas de <span class="tooltip"><a href="#B5">Cisneros et al. (2015)</a><span class="tooltip-content">Cisneros,
        Z. E., Rey, G. R., Martínez, V. R., López, S. T., &amp; González, R. F.
        (2015). Evapotranspiración y coeficientes de cultivo para el cafeto en 
        la provincia de Pinar del Río. <i>Revista Ciencias Técnicas Agropecuarias</i>, <i>24</i>(2), 23-30, ISSN: 1010-2760, e-ISSN: 2071-0054.</span></span> por ser los datos disponibles, pero estos pueden cambiar en función de la región y su altitud geográfica (<span class="tooltip"><a href="#t2">Tabla 2</a></span>).</p>
      <div class="table" id="t2"><span class="labelfig">TABLA 2.&nbsp; </span><span class="textfig">Duración de las fases del cafeto, promedio en días. Región de San Andrés</span></div>
      <div class="contenedor">
        <div class="outer-centrado">
          <div style="max-width: 1160px;" class="inner-centrado">
            <table>
              <colgroup>
              <col>
              <col>
              <col>
              <col>
              </colgroup>
              <thead>
                <tr>
                  <th align="center">No</th>
                  <th align="center">Fases</th>
                  <th align="center">Duración</th>
                  <th align="center">Promedio en días</th>
                </tr>
              </thead>
              <tbody>
                <tr>
                  <td align="center">I</td>
                  <td align="center">Floración-fructificación</td>
                  <td align="center">febrero-abril</td>
                  <td align="center">89</td>
                </tr>
                <tr>
                  <td align="center">II</td>
                  <td align="center">Fructificación-desarrollo del fruto</td>
                  <td align="center">mayo-agosto</td>
                  <td align="center">123</td>
                </tr>
                <tr>
                  <td align="center">III</td>
                  <td align="center">Maduración-cosecha</td>
                  <td align="center">septiembre - 1ra decena diciembre</td>
                  <td align="center">101</td>
                </tr>
                <tr>
                  <td align="center">IV</td>
                  <td align="center"> Cosecha-recuperación</td>
                  <td align="center">2da decena diciembre-enero</td>
                  <td align="center">52</td>
                </tr>
              </tbody>
            </table>
          </div>
        </div>
      </div>
      <div class="clear"></div>
      <div class="table">
        <p class="textfig"> Coeficientes de cultivo (Kc). Inicial: 1,01 medio: 1,04 final: 0,49 (Z. E. <span class="tooltip"><a href="#B4">Cisneros, Rey, et al., 2015</a><span class="tooltip-content">Cisneros,
          Z. E., González, R. F., Martínez, V. R., López, S. T., &amp; Rey, G. Á.
          R. (2015). Respuesta productiva del cafeto al manejo del riego. Función
          agua-rendimiento. <i>Revista Ciencias Técnicas Agropecuarias</i>, <i>24</i>(4), 5-11, ISSN: 1010-2760, e-ISSN: 2071-0054.</span></span>).<br>
          Factor de sensibilidad (Ky): 0,52 (<span class="tooltip"><a href="#B11">González et al., 2017</a><span class="tooltip-content">González,
          R. F., Cisneros, Z. E., &amp; Montilla, E. (2017). The coffee tree 
          (Coffea arabica L.) response to water deficit in different development 
          phases. <i>Revista Ciencias Técnicas Agropecuarias</i>, <i>26</i>(3), 4-11, ISSN: 1010-2760, e-ISSN: 2071-0054.</span></span>).<br>
        </p>
      </div>
      <article class="section"><a id="id0xbbf7600"><!-- named anchor --></a>
        <h4>Criterio de riego para la estimación de las normas netas totales</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <div class="list"><a id="id0xbc22900"><!-- named anchor --></a>
          <ul style="list-style-type: none">
            <li>
              <p><b>Tiempo de riego:</b> regar cuando se alcance el agotamiento permisible. </p>
            </li>
            <li>
              <p><b>Aplicación de riego:</b> Regar el suelo hasta que alcance el valor de la capacidad del campo.</p>
            </li>
            <li>
              <p> Eficiencia del riego: 90%. Riego Localizado.</p>
            </li>
            <li>
              <p> Fracción de agotamiento permisible p= 40%.</p>
            </li>
          </ul>
        </div>
      </article>
      <article class="section"><a id="id0xbc23980"><!-- named anchor --></a>
        <h4><i>Criterio de riego para la estimación de las normas netas reducidas</i></h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <p> Para la reducción de las normas de riego se tuvo en cuenta los trabajos realizados por <span class="tooltip"><a href="#B22">Valdés &amp; Vento (1984)</a><span class="tooltip-content">Valdés,
          R., &amp; Vento, H. (1984). Estudio del contenido de los principales 
          productos de la fotosíntesis en plantas de Coffea arabica L.(Variedad 
          Caturra) cultivadas bajo diferentes dosis de nitrógeno. <i>Cultivos Tropicales</i>, <i>6</i>(1), 111-122.</span></span> y <span class="tooltip"><a href="#B21">Valdés et al. (1995)</a><span class="tooltip-content">Valdés,
          R., Barrera, M. R., Pombo, F. R., &amp; Vento, D. H. (1995). 
          Caracterización del sistema de pigmentos foytosintéticos en plantas de 
          cafetos. <i>Revista Chapingo, Horticultura</i>, <i>4</i>, 29-32.</span></span> en Cuba, quienes ofrecen elementos para afirmar que el cafeto se puede considerar como una especie intermedia entre C<sub>3</sub> y C<sub>4</sub> debido a cambios anatómicos en el aparato fotosintético foliar, así como por la asimilación de CO<sub>2</sub>.
          Además, a partir del manejo agronómico del cafeto donde en la fase de 
          floración se provoca un estrés hídrico para inducir y agrupar la 
          floración se decidió hacer las reducciones en la etapa inicial de 
          Floración - fructificación y Cosecha-Recuperación. Se consideró que 
          estas reducciones no provocaran afectación en el rendimiento superior al
          3%. En la <span class="tooltip"><a href="#f1">Figura 1</a></span> se muestran los porcientos de reducción en cada etapa.</p>
        <div id="f1" class="fig">
          <div class="zoom">
            <svg xml:space="preserve" enable-background="new 0 0 500 302.937" viewBox="0 0 500 302.937" height="302.937px" width="500px" y="0px" x="0px"  version="1.1">
              <image transform="matrix(0.7728 0 0 0.7728 0 0)" 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3/8oU69L%20qPKJ/Iqn8OueZLL0cqft1xWQGV0eR3sBdMXT1U5XePv7+/WsOSJBAAEESgicnZ2ZF/mVfqWvA2ku%20K6cnLC8ry89eebtq+c9EnnbzMTQru4zuvSFwfZVY+rSJAAIIVCgweT5bZIyTj8I0eH5+fnp6aoZz%20fX19eHjojevq6mpT95VtOrSPRaaQThFAAAEEEBgjsKmsPAaCuggggAACCCwusOKsbE+k7cM6dl1x%20yrJA735afsIrY57CYDIaoQoCCCCAQFMC9WZllzXTT7zzaneC7dWS/5RVZG4O87S9Iv/r/uldj7bD%20cXpT/y8xWAQQQGC8QL1ZuXdsbqMcfgC7t+4MBSoPbwYBukAAAQQQGCqw4qwcbouHDr5o+crDKzp2%20GkcAAQQQyBNYcVbOGzC1EEAAAQQQqFaArFzt1BAYAggggEBzAmTl5qacASOAAAIIVCtAVq52aggM%20AQQQQKA5AbJyc1POgBFAAAEEqhUgK1c7NQSGAAIIINCcwJLfGRV+OwXfctjcAmTACCCwcoHod0NN%20/r0OiyBNPgrNt1NUl5XN92ksok+nCCCAAAJDBb788suPP/44usXimxxDzLVm5devXw9dGZRHAAEE%20EBgpcHl5OaiFV69ekZUHiWmyMveVB5FSGAEEENiygNn4Kh/v3r3bMsRyYyMrL2dPzwgggEB9AuY4%20WvOoL/CNRERW3shEMgwEEEAAgQ0IVJ2Vn+8eaWVNmWXnqUSEtk35sGPsur6sgIwtO5ISjNnBUBEB%20BBAoJFB1VtaM+X730JR0Zca/vg9qISNC5XBsy7L9rufKBmsrJp3LMWaPetAyyO6Figgg0JTA6rNy%20U7PFYBFAAAEEti2wmqzszmblOa17Ls9IZUnvUFfOpTsbD8+BvSnvKhA9XQ8Plt2OSm6twuddV3rP%208JULNHHcHeolPD3D9EC8yZLNdj0PN6BWYKRY9MA/ujy89ZMYrxtCF6DXvn7JKeeUYggUFTiIPYr2%20SONGYDVZ2c6WPKz2Dq7tS154zinPeGWGs9W9WtEUmG4hzPSDzlrTAcggw/WayB/hGwuJM8jBDafr%20/UFCsmtSomNJR+iqjBHzxpJoKrwt4gq7ZeOtyXCdRIevWXK8NiFQg8Dt7a0XRnilhjg3FsPKsnKG%20viZ1hfszL9emCyijctlLvr7butH2e++XezeV9WH0tqxsquuNQnZ1l+fyIsyrpZxcN31d77o0K02+%20t5jqFGSkNtURSAjINExKnmepbDwrK/dq4cemunZmhWYlEUChHgs1u8aB6GNOHF0oV5pj13daaKZo%20FgGlgE3GpGQl1/hiG8/Kg4CUe6ZBbXqF3WYuuqubIYCuffmYQWXvmLs2i/M4eGH3dmoLpO8pDGXs%207XRog5RHoIQAKbmEaleb28nK3vmwHXD6YlggTJa9LUjZaOH0dCaOtXvXgTsy7T0L7e1Fc7qePh+O%20tqDXS1dPIA86tXZZ0NbqZYn26yrKDJ2x/MIbGb0zTgEEENi8QNVZWd7A0z/3XqblUaHcqnrPZfvh%20Bjc8b+wq70q6RrySYcV049GOvEFFh5wYhXvLIiuGYchi0eQXHVriYtQ8PRGutXABaJZEF4I3O11N%20Kat7UNFQvQQfrpPNv9YwQAQQ0AhUnZU1A3BlvI1jNIsMajCjcA0xZIRNlUICrIdCsDSLwIYFtpOV%20o3vimWeuhhgmHHLi/GDCXuZpapGxbGw9zDNT9LKswNnZmfm2Qc1j2Tg33Pt2svKGJ4mhIYAAAjMI%20mO9LPh/ymCGkBrt4+EzpxcXF8fGxN/ibm5ujoyNzcX9/33wV9t7enlLHvMk6OTkxXwSWKN9Vxlz/%207LPPlB1RDAEEEEBgcQHzfczhC74mESweeW8Ak4/CNGje9pyenpqur6+vDw8PvRiurq7qysrmHUAv%20EwUQQAABBKoSICsrp2N9WVk5MIohgAACCNQsMPkuc5HBTj4KTVbmvvIic02nCCCAAAIIRATIyiwL%20BBBAAAEEahEgK9cyE8SBAAIIIIBAXZ/2MmfuTAkCCCCAwIoEor90M/kd2UVAJh+F5r5ydVn5xYsX%20i+jTKQIIIIBAhoD53Rk+g61002RlTrCVmBRDAAEEEECguABZuTgxHSCAAAIIIKAUICsroSiGAAII%20IIBAcQGycnFiOkAAAQQQQEApQFZWQlEMAQQQQACB4gJk5eLEdIAAAggggIBSgKyshKIYAggggAAC%20xQXIysWJ6aBXwPy+41SP3r4osC6BqRYG30e3rnlvOVqycsuzz9gRQAABBOoSICvXNR/Z0RwcHHTV%209X7UVTLRQnZU4ys+f/5cNmL+aR8ZLZsB1jnGjLEMqhKO2l1J/GhQF4sXzlsSLuxm18biE0cAoQBZ%20efur4vb21gzSvf7afw59zJ/Pwuxrrtw/Poa+Cpv4zcDNI5GQhppsoHzeYqht4EMXgxc/a6O2CW08%20HrJy4wug3uHb/DtVfDYf29df+x5lGwlJ6SPfVM3/BksZ5FLFGl8bS7HTb5cAWXlra8O+5soTOW93%20KP+ZPrjzfpqoaEt6nUZjWJDb7pUbTMkJc81iCJeB8orrN1wbXUs0Y3nYE5SMirIKa2MkINUnFCAr%20T4hZS1PhiZyNzNsd2lcieagrBxA24qp7FV1JV0Besa/79WxMW9slu6l3b9fCuQhnUCZUuUjCmbWT%20Gy0je/RWmre6Klkeba6NWl62iONRgKy8wbWgfI3zdjAehMvW0Rfx9Cbb7YTcVqwSZV52h05EuAzC%20ZeNdSawc17tyifZGO8lG2fbC2ujVpsA8AmTleZyr6yWxPZIvnWFa1VSU+6epXn/HC7qX3d63FOP7%20qrAFmywzpsM7TXE7Y9tUdD10HcCUYHGfChzzma/G10aJeaHNbAGycjbdxiu6k+eR+92R1adSli+7%20iXP7qbrbTDuJZdA1s1OtHI2h+0y+KZx9d5m1oaGmzGwCZOXZqBfuKNzxaE6w3QuWPJaMnljKDagt%20bB9uRzV+/OZl1/2+8tCXYLdHdLFl7BrHD2HZFrqGLOfLi9DjCmc2rNtbJURY9q0ba2PZZUnvngBZ%20eSNLQr6yyCNoe5hsr9gn8p/uNFJel9Xl63hXRVvXPry60agGiXvZV+6NBrUjC3uhZrezlophMg7n%20xc1gtHBiZuXseytEsxi8NZlNOvRdWldHra2NbHAqlhMgK5ezbaVlty3Ou23ZChPjRAABBBQCZGUF%20EkWSAoltllLubrqHskeKrUVguqVxt5YhE2fjAmTlxhcAw0cAAQQQqEiArFzRZBAKAggggEDjAmTl%20xhcAw0cAAQQQqEiArFzRZBAKAggggEDjAmTlxhcAw0cAAQQQqEiArFzRZBAKAggggEDjAmTlxhcA%20w0cAAQQQqEiArFzRZBAKAggggEDjAmTlxhdAFcPfn+5RxXgIYjqB6ZbG/nRB0RICBQXIygVxaRoB%20BBBAAIFBAmTlQVyqwvLvQqsqJAst+3U64+OfsIUxX6Brwmjqa5VbWDbeenDfJ5ax5JpaGxk+VJlT%20gKxcRNv9aei1vDj2xtlboIijaHR8SraT4gay+IhKi/W2v14Bm4DlAM0/3feJDV0q9ltVWBu9C4YC%208wiQlcs6y//Vy/ZE60kBOxHy+57DryyEcC0CNgFPFS1rYypJ2plEgKw8CaO2EXe4bSvIzYrcw0XP%2008K6XVfC09pov14v4c6pq4DXmutOlk+MVIv14UZ5/Kuw++pcl5szIll1lejEuaXYdYobLgPlFWfV%20u/wW37WzNla9sDcWPFl5vgl1B2WJDXRXmej18JzcHcTJE7lo3fDUzts7Jgp4/cr23Uu8V6aejWmz%20KdlMTXTB2DdVXfdcvGWgWYeaKl6ZSpZHy2tjvtdBeuoTICv3CU36c2/T4NKzfDkINzTjQwjb7H0d%20dLGFJTURasoox2VvGSoLp4s1/rKbmJSuH4XLILrhlrvnxMpxs9O7/CaZ7kGNNL42BllRuKgAWbko%20r9+425EkXpU0ZYYGnddmdE8f7oyjweT12DUu9+meoR/kkQ26l13vAHYo5krLpycuMV/eMvBKRptN%20nAbVqdf42qhzUpqNiqxcduq73oCb67Zj+/oVTdKuzIQh6tu0Jce/vOp77Bqm+2ytKZC9aZYvuzav%20jA9swnmppymPJbEMugCnWjmzmbA2ZqOmI40AWVmjNLiMO+WT6dZmAvvo2it3lYle721NJn5Nv3Kc%20rkcbqjyWdP2G7Xf1uHgKdODeuAZP7XoquGmSadJelNPkJje6QqLLQJaUK9Obfbly0stv/PIwb9fc%207ysPfevW4NpYzypuMVKy8vSznj4MtD/18p/3T1lGvmR4dV1H7tUw8STapn1F9mq5YMLuXMmwa2Vs%20Y7iHvtp29RVOwZio6qwrF2G4hMJJ9yY0XJDeqpBrOFzw+sXgMncGo7ce5JlKRmtybWdXpyIC4wXI%20yuMNW29B7sm8Nxyt0zB+BBBAYKAAWXkgWDXF68l/ibMBpdbddA9ljxRbi8B0S+NuLUMmzsYFyMqN%20LwCGjwACCCBQkQBZuaLJIBQEEEAAgcYFyMqNLwCGjwACCCBQkQBZuaLJIBQEEEAAgcYFyMqNLwCG%20jwACCCBQkQBZuaLJIBQEEEAAgcYFyMqNLwCGjwACCCBQkQBZuaLJIBQEEEAAgcYFyMqNLwCGjwAC%20CCBQkQBZuaLJIBQEEEAAgcYFHr5P/uLi4vj42IO4ubk5OjoyF/f39y8vL/f29pRSb9++PTk5MX8n%20L1G+q4y9ruyIYggggAACNQiEL/iaRFBD5OkYJh+FafD8/Pz09NT0e319fXh46AVwdXVVV1auf5KI%20EAEEEECgV2DyfNbbY4kCk49Ck5U5wS4xlbSJAAIIIIBAjgBZOUeNOggggAACCJQQWOwEu8RgaBMB%20BBBAoBKB3g8YVRJnIoxFTrCXycpGwXyIrP4pIUIEEEAAgWyB9Md+s5udrWJbWXk2VjpCAAEEEEAg%20Q2CRrMx95YyZogoCCCCAAAJFBMjKRVhpFAEEEEAAgQwBsnIGGlUQQAABBBAoIkBWLsJKowgggAAC%20CGQIkJUz0KiCAAIIIIBAEQGychFWGkUAAQQQQCBDgKycgUYVBBBAAAEEigiQlYuw0igCCCCAAAIZ%20AmTlDDSqIIAAAgggUESArFyElUYRQAABBBDIECArZ6BRBQEEEEAAgSICZOUirDSKAAIIIIBAhkC9%20Wfng4KBrPIkfTVglQ9NUsbHVHGHeuKiFAAIIIDCDQL1ZOTH429tbJY3LjvoqypbTxfTdLRXhJMOk%20EQQQQACBaQVWmZWnJaA1BBBAAAEEKhF4fn9/f3FxcXx87AV0c3NzdHRkLu7v719eXu7t7Skj1nwh%20pSkTbe3FixfuutlE2h2n3U2a5/KJ/JGt4l0J63YVkC17UXkbWXkunQjANhjtzg3HCzhRxTblxt5F%20p5wdiiGAAALzCMjX83l6nLwXTTob1Klp8Pz8/PT01NS6vr4+PDz0ql9dXS2WlU9OTsLB3N3dRbOy%20y3Dyict8NtV5h8YumaWruGwXbcQLJuyx64rX+4QRmndRgxYBhRFAAIH5Bc7OzsyLvHxJnz+G8T02%20l5XTEya3m/qs7G1nvUY0aVVOZFdrLsvqs7JM8O65t0WW/0x0MX6p0QICCCBQVGDyfFY02q7GJx+F%20Zq+8qfvKNkfax/gpnLY1G0+JNsePlBYQQAABBCoR2FRWrsQ0GobcdtccJ7EhgAACCCwosOKsbM97%207cMKdl1xvrJA7346bM1udu3DVQ+vJLqbNsIF1w1dI4AAAgiUEKg3K7u0l37inVe7E2yvlvynrCJz%20c5ino6119ejeGdj3B+6fRSMssSZoEwEEEEBgKYF6s3KviNukyp1rby0KIIAAAgggUK3AirNyuJEt%20rRzdTJfulPYRQAABBNoRWHFWbmeSGCkCCCCAQCMCZOVGJpphIoAAAgisQICsvIJJIkQEEEAAgUYE%20yMqNTDTDRAABBBBYgQBZeQWTRIgIIIAAAo0IkJUbmWiGiQACCCCwAoElvzMq/HYKvqZwBUuGEBFA%20AAEhEP1uqMm/12ER8slHofl2iuqysvnuyUX06RQBBBBAYKjAl19++fHHH0e3WHyTY4i51qz8+vXr%20oSuD8ggggAACIwUuLy8HtfDq1Suy8iAxTVbmvvIgUgojgAACWxYwG1/l4927d1uGWG5sZOXl7OkZ%20AQQQqE/AHEdrHvUFvpGIyMobmUiGgQACCCCwAYGqs/Lz4NErbmuYYoknvY2EBcLWMhpxVZStuWKy%20r+jFMcEMqrts74NCpTACCCCwRoGqs7IFvX982FybULY/NcVdrammxIbQ1dqgXFUuyKkGm2jHOQwa%208gyB0QUCCCCwDYEVZOVtQDMKBBBAAAEEegVWnJXl8bYcp3eC3Uvg2nElw5Y1W0O3j+8KLB1kulYY%20pDeuaPWugWiGbE8mvJKeQ9fNgl5zCiCAQP0CB7FH/WGvPcIVZGWZGNwxsjsHtlfkyXbiqDmcLXme%207HKMKSaPapVzLCPpre4FmRiOG13iFL2retfhfxheWDIdkjUZRK1kpBgCCFQicHt760USXqkk1C2F%20sYKsnLivrNnCpmfLpdL0neN5pnz8cOT7CbnZ7Y0/vRevAad3CBRAAIHJBWQaJiVPzhttcAVZOQHh%20EvaYTVu4256HPuxlkuG4Zr3NbmJQ+pJLydAvAggsJWCTMSl5Nv91Z2XLNGaLaevWk5hHDmd89ejK%20Swt7R/ezrV06QgCBeQRIyfM4217WmpVdJpA3hjPgwoyS0XLYiEtjyk18ulPvp9FNtszHtnyilhde%20tKQyJBmMcrAZ00QVBBBAoBGBqrOydzsz+k95MfrcXey6OSrvW9tZD0+SlY10VfdSl8teYcDp4YSh%20upajp9/yokyZ6SF74fUKN/K/CsNEAAEEZhCoOivPMH66GCkw9FRgZHdURwABBLYtQFbe9vz6o+s6%20MMhWSGzfs9ukIgIILCVwdnZmvm1Q81gqws33S1be/BQzQAQQQEAlYL4v+XzIQ9UohQYKPHz8+OLi%204vj42Kt4c3NzdHRkLu7v75uvwt7b21O2bN5knZycmC8CS5TvKmOuf/bZZ8qOKIYAAgggsLiA+T7m%208AVfkwgWj7w3gMlHYRo0b3tOT09N19fX14eHh14MV1dXdWVl8w6gl4kCCCCAAAJVCZCVldOxvqys%20HBjFEEAAAQRqFph8l7nIYCcfhSYrc195kbmmUwQQQAABBCICZGWWBQIIIIAAArUIkJVrmQniQAAB%20BBBAoK5Pe5kzd6YEAQQQQGBFAtFfupn8juwiIJOPQnNfubqs/OLFi0X06RQBBBBAIEPA/O4Mn8FW%20ummyMifYSkyKIYAAAgggUFyArFycmA4QQAABBBBQCpCVlVAUQwABBBBAoLgAWbk4MR0ggAACCCCg%20FCArK6EohgACCCCAQHEBsnJxYjpAAAEEEEBAKUBWVkJRDAEEEEAAgeICZOXixHSAAAIIIICAUoCs%20rISiGAIIIIAAAsUFyMrFiekAAQQQQAABpQBZWQlFMQQQQAABBIoLkJWLE9MBAggggAACSgGyshKK%20YggggAACCBQXICsXJ6YDBBBAAAEElAJkZSUUxRBAAAEEECguQFYuTkwHCCCAAAIIKAXIykooiiGA%20AAIIIFBcgKxcnHhdHRx8+EgHb8qaAuF/9UOWdfW1XElbvamHN2Q3XdLEXvSuJJTSsxAiz8Y+W0dN%20LSEGW7kAWbnyCVogvFvxSLwsmh+ZgiY++9+8x5i6XV0v8lI+qNO8POflWvt+yM2Vy6xdV1ynYV4f%20P495s99bywY2yLa3TQogULkAWbnyCSI8BN4L2HQ7lMNUsencZbiMRoZ2SnkEEMgWICtn0zVXMXpY%202ruViZ6mdu3brKnsSFk9LOYF5raSsutw9xkGEL0Stia786DShd0y0gSWt+ZcOne52WvHRdg1/PR1%20b8q6xKLrRz+/nnAeBbUQqF+ArFz/HM0doXv1lC/i4WGpCat31+VqdZ2vdo3NJhJlda9YOjC5ZXS9%20yDDCkUbH3tXpoMKy397ARq6DrpTscUXjtxnRnY2HSd07Nrdtery9V7q61qy0kThUR6AeAbJyPXNR%20SyTu1dPmRbmZ69pcJpKrbaE3f48ZvItzUC/h1i2MIdFg4kdhy4MCG0PRVTeRksMqGpnEjNsfaRpJ%20lFlcrMQs0CYCGgGyskaJMg8CMlvrRbzUrq84qGRGL3nD0URVrmVN79Es6zbi8m1WIrN2bYuVASQ2%201vJN3shelMFQDIF1CZCV1zVfVUSreWV3GyabzvVVMkbotuNdvaR7T/x0ZNgjq2dQpFNy9MQ+0UtG%20/BlVogFE27ELadC+fxJDGkFgTgGy8pzaK+7LvSAOek30XkbzGnFqXdWjvbh3A9GAE5GEP9KELU/R%203cFs1zFs+DZlUPUESDR4W16Z0nqRw3yZFpObY5lTZS0vQm/KPK4u1RX/30XoCAgBsjLL4QMB7yVP%20/tM7b3Q/sk/kf2WLtpZMJPJKtJbXsmvcPgmru+uyF/dC3xWe11QYc2/YrovwSTRIbyDeypOj9tC8%202AaFmpiLofE7sTAvhphh4Ywy4Urgf1cENi9AVt78FDNABLYgwNn1FmaRMSgEyMoKJIoggMA4gfHH%20zonzg3GhURuBugTIynXNB9EggAACCLQsQFZuefYZOwIIIIBAXQJk5brmg2gQQAABBFoWICu3PPuM%20HQEEEECgLgGycl3zQTQIIIAAAi0LkJVbnn3GjgACCCBQlwBZua75IBoEEEAAgZYFyMotzz5jRwAB%20BBCoS4CsXNd8EA0CCCCAQMsCZOWWZ5+xI4AAAgjUJUBWrms+iAYBBBBAoGUBsnLLs8/YEUAAAQTq%20EiAr1zUfRIMAAggg0LIAWbnl2WfsCCCAAAJ1CZCV65oPokEAAQQQaFmArNzy7DN2BBBAAIG6BMjK%20dc0H0SCAAAIItCxAVm559hk7AggggEBdAmTluuaDaBBAAAEEWhYgK7c8+4wdAQQQQKAuAbJyXfNB%20NAgggAACLQuQlVuefcaOAAIIIFCXAFm5rvkgGgQQQACBlgXIyi3PPmNHAAEEEKhL4Pn9/f3FxcXx%208bEX183NzdHRkbm4v79/eXm5t7enDPzt27cnJyd3d3eJ8l1l7HVlRxRDAAEEEKhBIHzB1ySCGiJP%20xzD5KEyD5+fnp6enpt/r6+vDw0MvgKurq7qycv2TRIQIIIAAAr0Ck+ez3h5LFJh8FJqszAl2iamk%20TQQQQAABBHIEyMo5atRBAAEEEECghMBiJ9glBkObCCCAAAKVCPR+wKiSOBNhLHKCvUxWNgrmQ2T1%20TwkRIoAAAghkC6Q/9pvd7GwV28rKs7HSEQIIIIAAAhkCi2Rl7itnzBRVEEAAAQQQKCJAVi7CSqMI%20IIAAAghkCJCVM9CoggACCCCAQBEBsnIRVhpFAAEEEEAgQ4CsnIFGFQQQQAABBIoIkJWLsNIoAggg%20gAACGQJk5Qw0qiCAAAIIIFBEgKxchJVGEUAAAQQQyBAgK2egUQUBBBBAAIEiAmTlIqw0igACCCCA%20QIYAWTkDjSoIIIAAAggUESArF2GlUQQQQAABBDIEyMoZaFRBAAEEEECgiEC9Wfng4KBrxIkfTVgl%202pTr2j7piiQjwiLTS6MIIIAAAqsSqDcrJxhvb2+VyC476qskWjat2Xbck65mJ+lOOUaKIYAAAghs%20RmCVWXkz+gwEAQQQQAABKfD8/v7+4uLi+PjYc7m5uTk6OjIX9/f3Ly8v9/b2lHCar4k2ZaKtvXjx%20wl2XG1Nz0ew+7cbXPnF7VlfeuyL/Ga0id72uZS8qb6stA+iKxNtMhy3IgdjuomXsdbfn7hJTTgrF%20EEAAgZkF5Ov5zF1P1Z0mnQ3qyzR4fn5+enpqal1fXx8eHnrVr66uFsvKJycn4WDu7u6iWTlMdTLR%20egnMpTovGUeryHwss6DXpv1ReILtXXe1EtdtOvdKJmK2PzLvjQbNPYURQACBBQXOzs7Mi7x8SV8w%20mOyum8vK6QnrSoGJfGZ/5CZAmZXdfjTMynIulVnZy69dLURHIetG32pkry0qIoAAAnMKTJ7P5gze%209TX5KDR75U3dV7Zp1T4mmULXWnaD41uYZCA0ggACCCCwCoFNZeVy4vrfdBrzu1LyvrW3cS83NFpG%20AAEEEKhHYMVZ2R4p24cF7briuGWB3u2vvnBXSU0Libr1rBIiQQABBBCYR6DerOyyZvqJd14dnhjb%206rIRWUXm5jBPe+fh+kgGdTftqfs864ZeEEAAAQRKCNSblXtH6zbKWzrstYPq3cf34lAAAQQQQGCN%20AivOypv8IJW39V/jkiJmBBBAAIFsgRVn5ewxUxEBBBBAAIE6BcjKdc4LUSGAAAIItChAVm5x1hnz%209gTMX38r/dgeGiNCoEIBsnKFk0JICCCAAAKNCpCVG534OYctf6e8q19NmUTMI6tronJdpPsqFMkk%208/X88eFaC6/kdeT95YC8RqiFAAJGgKzMMqhCIOPD594fkJn818ncn1ozQPJ5OtSMgcwzASYBmy+I%20sw/z3HQaXsmLJISq+a1J3hiphcBsAmTl2ajpCIFtCtj3Q/LvxZp/Tv4maZt2jAqBQICszKKYVUAe%20dYbPbSjy78O4P6cqL8qIbQG5OQtLRhv0hp1u3wWm7CscSGJo3pBlSdldzRtQ98cD5L551oVFZwhs%20RYCsvJWZXNU4En/o1L2se5st+XdJXaoO92RedVnSFfYuyn2e3PZZUX2oXrP6SNIl3cSOPBu3B9f2%20UWixkJILwdJsUwJk5aame8WDHf95ot4z1TGb0a6UGW0zEcnI1JueYHdfucQ6ICWXUKXNBgXIyg1O%20+vqG3LWBnnYkJf6Ga4k2px31JK3Jm8pj3txMEgyNILBqAbLyqqeP4KcXyEsq6Vr6Nl1J7yNU48c5%20w8G13C6HtwnGD4EWEGhBgKzcwiyvaYwuG4U3j73cFt4DdreBvdzWO36v096zbttgupa+TU07pjt9%20ao+OV95XNs9NmfBKL1S0gDt1n/ydRF481EJg1QJk5VVP3zqCl/dK9c+7Pu0VbSG8qOlI8oVHzZoW%20NLXy2gmndvwt5/C+8uR3mh3IOpYmUSJQnwBZub45aTsi7zeUlNvWjZkN3etvbPgMB4GWBcjKLc9+%20jWOXu882U7I9Gx+6M74r/6hxuRATApsTICtvbkoZEAIIIIDAagXIyqudOgJHAAEEENicAFl5c1PK%20gBBAAAEEVitAVl7t1BE4AggggMDmBMjKm5tSBoQAAgggsFoBsvJqp47AEUAAAQQ2J0BW3tyUMiAE%20EEAAgdUKkJVXO3UEjgACCCCwOYHn5k/uXVxcHB8fe0O7ubk5OjoyF/f39y8vL/f29pRjf/v27cnJ%20ifmTBonypoyyNYohgAACCKxRoDcR1D8oTTobNArT4Pn5+enpqal1fX19eHjoVb+6ulomK9tkP2gw%20FEYAAQQQWJdAentW/1jaysr1zwcRIoAAAgi0LLBIVua+cstLjrEjgAACCNQlQFauaz6IBgEEEECg%20ZQGycsuzz9gRQAABBOoSICvXNR9EgwACCCDQsgBZueXZZ+wIIIAAAnUJkJXrmg+iQQABBBBoWYCs%203PLsM3YEEEAAgboEyMp1zQfRIIAAAgi0LEBWbnn2GTsCCCCAQF0CZOW65oNoEEAAAQRaFiArtzz7%20jB0BBBBAoC6BIt9OUdcQiQYBBBBAAIEsgWm/+WqZ74wyA+f7oLJmn0oIIIAAAtUJTPjNV4tl5epQ%20CQgBBBBAAIGlBTRZmfvKS88S/SOAAAIIIPAoQFZmLSCAAAIIIFCLAFm5lpkgDgQQQAABBMjKrAEE%20EEAAAQRqESAr1zITxIEAAggggABZmTWAAAIIIIBALQJk5VpmgjgQQAABBBAgK7MGEEAAAQQQqEWA%20rFzLTBAHAggggAACZGXWAAIIIIAAArUIkJVrmQniQAABBBBAgKzMGkAAAQQQQKAWAbJyLTNBHAgg%20gAACCKi+X/ns7AwpBBBAAAEEEBgpcH5+fnp6ahq5vr4+PDz0Wru6uurPyj/72c9GBkF1BBBAAAEE%20ELACY7MyjggggAACCCAwrUDXXvn/Azy2CRa+pAL7AAAAAElFTkSuQmCC" height="392" width="647" overflow="visible"> </image>
            </svg>
          </div>
        </div>
        <div class="fig"><span class="labelfig">FIGURA 1.&nbsp; </span><span class="textfig">Criterio asumido para la determinación de las normas reducidas a futuro del cafeto.</span></div>
      </article>
    </article>
    <article class="section"><a id="id0xbc25180"><!-- named anchor --></a>
      <h3>RESULTADOS Y DISCUSIÓN</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <article class="section"><a id="id0xbc25400"><!-- named anchor --></a>
        <h4>Comportamiento de las variables climáticas del escenario RCP 4.5 (2020 - 2050) para “Ceiba Mocha”</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <p> En la <span class="tooltip"><a href="#t3">Tabla 3</a></span> se muestran los valores promedios de las variables temperatura máxima y
          mínima, humedad relativa, velocidad del viento y precipitaciones de la 
          serie estudiada 2020-2050 para “Ceiba Mocha”. </p>
        <div class="table" id="t3"><span class="labelfig">TABLA 3.&nbsp; </span><span class="textfig">Valores promedios de las variables climáticas en la serie 2020-2050 de la estación meteorológica asociadas a Ceiba Mocha</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="justify">Sitio</th>
                    <th align="center">T máx. (º C)</th>
                    <th align="center">T mín. (º C)</th>
                    <th align="center">HR (%)</th>
                    <th align="center">Vv (m s<sup>-1</sup>)</th>
                    <th align="center">Precipitación (mm)</th>
                  </tr>
                </thead>
                <tbody>
                  <tr>
                    <td align="justify"><b> <i>Ceiba Mocha</i> </b></td>
                    <td align="justify">31,17</td>
                    <td align="justify">22,30</td>
                    <td align="justify">75,7</td>
                    <td align="justify">1,49</td>
                    <td align="justify">1784,92</td>
                  </tr>
                </tbody>
              </table>
            </div>
          </div>
        </div>
        <div class="clear"></div>
        <div class="table">
          <p class="textfig"><b> <i>Leyenda:</i></b> <i>Tmáx: Temperatura máxima, Tmín: Temperatura mínima, HR: Humedad Relativa, Vv: Velocidad del viento.</i> <br>
          </p>
        </div>
        <p> Cuando se analiza el comportamiento de las variables precipitación y evapotranspiración de referencia (ET<sub>0</sub>) para el sitio de estudio, se tiene que en la mayoría de los años de la serie las precipitaciones superan a la ET<sub>0</sub> con excepción de los años 2023, 2040, 2047, 2048 y 2050, <span class="tooltip"><a href="#f2">Figura 2</a></span>,
          para el escenario RCP 4.5, por lo que pudiera esperarse que en la 
          programación del riego las normas netas totales serán inferiores a la de
          otros sitios cafetaleros. El comportamiento de estas variables 
          climáticas en el escenario RCP 4.5 se corresponde con lo planteado por 
          autores como <span class="tooltip"><a href="#B1">Centella (2017)</a><span class="tooltip-content">Centella, A. (2017). <i>La estimación del clima futuro y los escenarios climáticos</i> [Parte 1 y 2]. Instituto de Meteorología. La Habana. Cuba.</span></span> y <span class="tooltip"><a href="#B18">Planos (2014)</a><span class="tooltip-content">Planos, E. O. (2014). <i>Síntesis informativa sobre impactos del cambio climático y medidas de adaptación en Cuba</i>. CITMA, Agencia de Medio Ambiente (AMA), La Habana, Cuba.</span></span> donde refieren que el modelo utilizado puede estar en la anomalía 
          positiva, aunque las tendencias de los demás modelos indican una 
          reducción en las precipitaciones a futuro.</p>
        <div id="f2" class="fig">
          <div class="zoom">
            <svg xml:space="preserve" enable-background="new 0 0 500 228.821" viewBox="0 0 500 228.821" height="228.821px" width="500px" y="0px" x="0px"  version="1.1">
              <image transform="matrix(0.4604 0 0 0.4604 0 0)" 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p6rF/SGq%20OjSbO/yDAAiAAAiAAAiAAAiAAAhoIhC+ZfosLJ4oLCcn58MPP+Rr9MeOHcsGWHjGMxqZYQqH3lH+%20lGxUDWRQtNprYrp//35N9jAGARAAARAAARAAARAAAU0Eevbsqck+WowtsUzfH1ZxcTHlJqaMydHC%20UTDOtWvXnjhxQtAYZiAAAiAAAiAAAiAAAiCgg0B83isP96gLbUNJi1gOHjw4evRoyjlWUFBQWFhI%20vUUzx5YsWUIvAo66KH+qWtz/aFB1qOMAYkVIutDziBEjdHtAwUgRoEPR4/FQ1uzExHBPpIxUk2Op%20XnRf9PYm/Ra43W76ObDb7dHbiriNHN0XvV1PF2Mul6tbt24OhyN6WxG3kTPdEpMDL9YadWGL7+l7%20cuedd9ILOuXR6hd6MXDgQNnBJ12OovypanH/w1rVYdx+E9BwEAABEAABEAABEAABELAmgTDdXZ42%20bRpJKHrQqIsMRHl5Ob2TlZXF3mdKhh7Mkpbyq34qYiCrVLk6a3YVogIBEAABEAABEAABEACBeCYQ%20JunCUx4/+uijTJ88/fTTjDtbqX/ZZZexf2fPnk2iZfHixVu2bKF/Bw0apPqpiIGsj5Wri+cDAm0H%20ARAAARAAARAAARAAAWsSCJN0ufnmmymlGCGYP38+jb3079+flunTv1OnTmVcSNvQRGd6QSteWrZs%20OWnSJPb+Nddco/qpiAFlNmPDPmxLGeXqrNlViAoEQAAEQAAEQAAEQAAE4plAmKQLLXGZN2+eDPTg%20wYMff/xx/uaLL74oMyBhw7MnK39KBVUNZM612sfzUYK2gwAIgAAIgAAIgAAIgEDECYRJulA7KanX%200qVLSa7QaxqBIVmyYsUKtmqfPcaNG7du3TpuMGfOHKnaUf5Utbg/aFWHEe8bBAACIAACIAACIAAC%20IAACIMAJhDs5csyjR3Lk6O1iZNeN3r6jyNF90dt9yK4bvX1HkaP7orf7kBw5evuOIkdy5KjuPgQP%20AiAAAiAAAiAAAiAAAiAQ4wTCN2EsxkGieSAAAiAAAiAAAiAAAiAAAmYSgHQxky58gwAIgAAIgAAI%20gAAIgAAIGEQA0sUgkHADAiAAAiAAAiAAAiAAAiBgJgFIFzPpwjcIgAAIgAAIgAAIgAAIgIBBBCBd%20DAIJNyAAAiAAAiAAAiAAAiAAAmYSgHQxky58gwAIgAAIgAAIgAAIgAAIGEQA0sUgkHADAiAAAiAA%20AiAAAiAAAiBgJgFIFzPpwjcIgAAIgAAIgAAIgAAIgIBBBCBdDAIJNyAAAiAAAiAAAiAAAiAAAmYS%20gHQxky58gwAIgAAIgAAIgAAIgAAIGEQA0sUgkHADAiAAAiAAAiAAAiAAAiBgJgFIFzPpwjcIgAAI%20gAAIgAAIgAAIgIBBBCBdDAIJNyAAAiAAAiAAAiAAAiAAAmYSgHQxky58gwAIgAAIgAAIgAAIgAAI%20GEQA0sUgkHADAiAAAiAAAiAAAiAAAiBgJgFIFzPpwjcIgAAIgAAIgAAIgAAIgIBBBCBdDAIJNyAA%20AiAAAiAAAiAAAiAAAmYSgHQxky58gwAIgAAIgAAIgAAIgAAIGEQA0sUgkHADAiAAAiAAAiAAAiAA%20AiBgJgFIFzPpwjcIgAAIgAAIgAAIgAAIgIBBBCBdDAIJNyAAAiAAAiAAAiAAAiAAAmYSgHQxky58%20gwAIgAAIgAAIgAAIgAAIGEQA0sUgkHADAiAAAiAAAiAAAiAAAiBgJgFIFzPpwjcIgAAIgAAIgAAI%20gAAIgIBBBCBdDAIJNyAAAiAAAiAAAiAAAiAAAmYSgHQxky58gwAIgAAIgAAIgAAIgAAIGEQA0sUg%20kHADAiAAAiAAAiAAAiAAAiBgJgFIFzPpwjcIgAAIgAAIgAAIgAAIgIBBBCBdDAIJNyAAAiAAAiAA%20AiAAAiAAAmYSgHQxky58gwAIgAAIgAAIgAAIgAAIGEQA0sUgkHADAiAAAiAAAiAAAiAAAiBgJgFI%20FzPpwjcIgAAIgAAIgAAIgAAIgIBBBCBdDAIJNyAAAiAAAiAAAiAAAiAAAmYSgHQxky58gwAIgAAI%20gAAIgAAIgAAIGEQA0sUgkHADAiAAAiAAAiAAAiAAAiBgJgFIFzPpwjcIgAAIgAAIgAAIgAAIgIBB%20BCBdDAIJNyAAAiAAAiAAAiAAAiAAAmYSCKt0Wbx48ZAhQ2wNj4kTJ65fv17atIMHD7KPZA9uQ/as%20eG5u7ty5c/2xqBrIimi1N7Mj4BsEQAAEQAAEQAAEQAAEQECJQPikC4mNSZMmbdmyhYWzZMmS4cOH%20S9XLiRMnFCIlS7JnxYuLi2fOnDlt2jSpvaqBv25RdogDBwRAAARAAARAAARAAARAwDoEwiRdaESF%20xIZ/s6dPn87f3L17twKX22+/Xfbp/PnzpcpH1UBWXKu9dfoMkYAACIAACIAACIAACIBAHBIIk3RZ%20vXo1gztnzhyv11tUVFRQUED/0igKqRr20ZEjR+h58ODBZCB90Js7duygIvRiwoQJZ8+eXbRoESuy%20fPly9kLVQNa1Wu3j8MhAk0EABEAABEAgNgh4aytrN75d8d6jpS/fUvKn8RWL7q/+9DXXyX2x0Tq0%20AgTiikCYpAtJBYZ1xowZ9NytW7c777yTvcPniW3dupX+zcvL8++AjRs3sjdnzZpFBrROhhQO/cuK%200EPVQOZTq31cHRNoLAiAAAiAAAjEDIG6Pf8tffnmymXP1O1Y6j5T5Ck5Wbf3k+r/ziubf2vN+r/H%20TDPREBCIEwJhki7z5s1jAyn+WHv37s3eLCwspOdz5851796d1uLTivxly5axj0pLS9mLfv36sRdM%204axcuVLQQFavqsM46X40EwRAAARAAARimED16pcqFj/oKT0dsI1Vq14o/3uzdbMxjAJNA4HYIBAm%206eIP65133qE3afCED7OwKWE0hYy/GD9+PFMva9askXkYNWqU9B1VA1lxrfax0dloBQiAAAiAAAjE%20DwHXt5ur1/1Vub31RRsx9hI/hwRaGgMEIiNdFi5cyHKF3X///Qwin1EmY3rvvffGAGU0AQRAAARA%20AARAIMwEaJKYSI009oJ1LyKgYAMCViBgCziJiyKjKVs8vmA2+hpAu7tQlmQqO2bMmBUrVjAnLLUx%20vViwYMFdd91Fa/dpRT6TN+vWrXviiSfY3DAeCaVaZinL2Dtjx45VNpCFqtVevKVr164l406dOokX%20gaVFCLhcLorE4XBYJB6EoYkAuk8TLksZo+8s1R1ag7Fs9zlO78lY/jvB5tQMnFRz8U2CxjFjZtm+%20ixnCpjaEdV/Pnj1NrSUizpU1SLilC9ctNFWMdEvARfkyMUNJybZt20b7wChIF1q4r2wgQ6/VXrzn%20mHTJz88XLwJLEAABEAABEAABYwmk7l2WvvUNQZ+1HYeUX9U4DUSwCMxAwAoEIF2aesGMUReaFTZy%205EjaUJIyI3/55ZcKuoXi4OMwJF3oX+kYC/0rGzaRDcL4G8gOL6324kcnky7Dhg0TLwJLixA4dOiQ%20x+Pp0qVLYmJkJlJahEOUhoHui9KOo7APHz7sdrs7d+5st9ujtxVxG7llu6/6/d/V72yc2aHaO4lZ%20bTPu+1DVLMYMLNt3McbZpOawzUUgXUyULoSYRlpIt+Tk5HzyySc8Vxirctq0abTFJL2gbVuYpKEF%20+rRMn17QFDJ6njJlCj1v376dFaT8YzSdjE85o8Uzygay40arvfhhx6TLiBEjxIvA0iIEKMcdSRdK%20cAfpYpEe0RQGuk8TLksZU2oWki50SwvSxVL9IhiMZbuv6qOnaja/K9gKe6tuWfeIGgv6tL4ZXZjR%20pCParwIzpa3fWf4R7t+/Pz6lS/juLpM4Id1ClD/88EOZbqE3r7zyStYrjz76KOVHpq/TY489xt65%20+uqrL7vsMvZ69uzZ9CnNOmPLYAYNGsTeVzWQdblW+2g8phEzCIAACIAACMQtAXu7XuJtt+c37tMg%20XgSWIAACESEQJulCYoPvwULL8Wk2Gn/QxDCmT2g0hl7Q2EvLli3p9hsTJzSuQvcDSOrQO/QvLWih%20T9kqf3pcc8017IWqAdXCaqSpYiL2EekMVAoCIAACIAACIGAIAUf7PuJ+nO0hXcRpwRIEIkkgTNLl%20gw8+UG4lTRKjbStlNiRm+Jsvvvii7NOpU6dKl5SoGsiKa7WPZC+hbhAAARAAARAAAS0EaNQlqU+z%20LeCClU7MapM04EdafMMWBEAgYgTCJF1WrVql2kTK+rV06VJaD8MsKTkyLYmhIRf277hx4yhLMvuU%20JA2t3ZdJHVUDWQBa7VXjhwEIgAAIgAAIgIB1CKSNvT8hKU01nrRrHrAlp6uawQAEQMAKBMKdHNkK%20bTY1BizTNxWvqc6xzttUvGY7R/eZTdg8/5Zd521ek2PJs8W7r3b7x5UfP51QVxWMeerwn6defU8s%209Yh4W7BMX5yVBS2xTN+CnYKQQAAEQAAEQAAEQEA/geT+12bf/Y6z90h/F2zjbUcnX9pSPEAABKKF%20QJgmjEULDsQJAiAAAiAAAiAQSwQSs9tlTno2ISk1wZvQIFe89tbd6ZW3oZG1X4vu/RJLTNAWEIhe%20ApAu0dt3iBwEQAAEQAAEQECdQH3hFwl11UyuJLZokzZ+RqNwSUio27nCW12m7gIWIAAC1iAA6WKN%20fkAUIAACIAACIAAC5hCo3+/bhoE9nD2HObsOtrfqyt8h9WJOtfAKAiBgPAFIF+OZwiMIgAAIgAAI%20gIB1CNQfkEiXHldQYEkXN+4LR68xZ8w6PYVIQECVAKSLKiIYgAAIgAAIgAAIRCsB98lv3OeONkZv%20dyT1HEavky8ay9vjOrLdfepAtDYPcYNAnBGAdImzDkdzQQAEQAAEQCCeCNRJhlySegxLsDup9Ym5%20HZzdL+cYancujyckaCsIRDEBSJco7jyEDgIgAAIgAAIgoEyg+UIX32wx9ki6uGngpQ55xnAYgUCU%20EIB0iZKOQpggAAIgAAIgAAIaCXjKv3Md2cEL0Rp9/jr5omtslDG54eEpPVX/zTqNvmEOAiAQAQKQ%20LhGAjipBAARAAARAAATCQEA65OLoeDFlRm6qlNa9SFa81CLPWBj6A1WAQMgEIF1CRggHIAACIAAC%20IAACliRQv/9zHpezIbeY9NF8zthyb025JRuBoEAABJoIQLrgaAABEAABEAABEIhFAh53s7TIktli%20rLXOrkOabfCCFS+xeBSgTTFGANIlxjoUzQEBEAABEAABEPARoNliXlcdY5GY096R39ufC+aM4VgB%20gegiAOkSXf2FaEEABEAABEAABIQI1B1omi3GtnMJIF0kecZch79yn8YGL0JsYQQCkSIA6RIp8qgX%20BEAABEAABEDARALN0yIHli723I7O7pfxIJAl2cT+gGsQMIIApIsRFOEDBEAABEAABEDASgRcx3ZS%20ymMWESVB9l+jz4NNuuga/hp5xqzUh4gFBAIQgHTBYQECIAACIAACIBBrBJrlFgsyW4y1OfnisTZn%20CnvtKTkpHauJNShoDwhEPwFIl+jvQ7QABEAABEAABECgOYFmucV6BJ4t1ljC7pRmSa79ejlYggAI%20WJYApItluwaBgQAIgAAIgAAI6CHgKT7hOr6Hl3T2lO/oInMqnTNWt3OFt6ZCT60oAwIgYD4BSBfz%20GaMGEAABEAABEACBMBKoO7Ce1+boMigxPVe5cme3IfaWXRptvF5SL2EMFlWBAAhoIADpogEWTEEA%20BEAABEAABKxPQLpeJVhaZFkrms8Zg3SxficjwjglAOkSpx2PZoMACIAACIBATBLw1tc0T4usMluM%20QZDuTek6vM19ujAm4aBRIBDtBCBdor0HET8IgAAIgAAIgEATAalusbfqam/dXYSOPa+Ts0CywQvm%20jIlQgw0IhJ0ApEvYkaNCEAABEAABEAAB0wg0G3JRzi3WPAbMGTOtT+AYBAwjAOliGEo4AgEQAAEQ%20AAEQiDiB+gOf8xhUc4tJo6U5YzZnMnvHU3ICG7xEvCsRAAj4E4B0wVEBAiAAAiAAAiAQIwRch7Z5%20Ks6xxthSs5zdLhFvmM2RJF3xUos5Y+LsYAkC4SIA6RIu0qgHBEAABEAABEDAZALStMhJatu5+MeS%20dPE1/M26r1d4aytNjhfuQQAEtBGAdNHGC9YgAAIgAAIgAAKWJVC/XzpbbJjWOGmUxt6yc2Mpr4fU%20i1YPsAcBEDCVAKSLqXjhHARAAARAAARAIEwE3GcPuU8f4JU5tazR56WazxlbHqbQUQ0IgIAYAUgX%20MU6wAgEQAAEQAAEQsDaBZrnFul9mS8nQEa90zhitnHGfKdLhBEVAAARMIgDpYhJYuAUBEAABEAAB%20EAgrgWa5xXQNuVC4DRu8XMrjxpyxsHYhKgMBNQKQLmqE8DkIgAAIgAAIgIDlCXiry+qLvuRhOntq%20XujCyyLPmOV7GwHGLwFIl/jte7QcBEAABEAABGKGgHTIxd62Jw2e6G4a7U1pc3y/wUvxcaln3T5R%20EARAwBACkC6GYIQTEAABEAABEACBSBKo27++adgkhCEXckK6hdQL94Y5Y5HsV9QNAs0JQLrgiAAB%20EAABEAABEIh6As3W6Otd6NIkfi5qki60N6W3tirqAaEBIBATBCBdYqIb0QgQAAEQAAEQiGMCtMrF%20W1POACRmtnR07h8iDFqp3zTlzOOu24ksySESRXEQMIYApIsxHOEFBEAABEAABEAgUgSMHXJhrZBm%20Sa7F3pSR6lrUCwLNCUC64IgAARAAARAAARCIbgL1B5oWuoSSW0xKQZpnzHVoq/vMwehmhOhBICYI%20QLrERDeiESAAAiAAAiAQrwTcpw64zx5ubL0t0dnzCkNI2Ft2dna7hLuq27nCELdwAgIgEAqBsEqX%20xYsXDxkyxNbwmDhx4vr1TfdIWBvoHWaQm5s7d+5cWcOUP1Ut7o9J1WEoZFEWBEAABEAABEAgDARk%20Qy48r3HoVUvzjNV+jeUuoROFBxAIlUD4pAtJkUmTJm3ZsoWFvGTJkuHDh0vVC72md5hBcXHxzJkz%20p02bxtun/CnTLQrFA+oWTfahkkZ5EAABEAABEAABEwg0T4tszJALCzPpomtsjiT22uPb4GWDCeHD%20JQiAgAYCYZIuBw8eJCniH9f06dP5m7fffrvMYP78+VzbKH9KBVUNZM612muAClMQAAEQAAEQAIGw%20EPBUnHMd/opX5Qw5LbI0apszWbriBXPGwtKlqAQElAiESbqsXr2aRTFnzhyv11tUVFRQUED/0hgL%20qRp6sWPHDnqTXkyYMOHs2bOLFi1i9suX+8ZnlT8VMZAxUHWIowYEQAAEQAAEQMD6BKS5xRwd+iZm%20tzM25uZzxlZ467DBi7GA4Q0EtBEIk3QhqcDimjFjBj1369btzjvvZO+cOHGCnjdu3Mj+nTVrVl5e%20Hq2EGTx4MP27detW1U9FDGRUlKvThhDWIAACIAACIAACESLQbKFLDyNni7EGOQsuk2zw4qpDluQI%20dTSqBQFGIEzSZd68eTTYQg9/7r1796Y3S0tL2Uf9+vVjL0jA0PPKlStVPxUxkNWrXB0ODhAAARAA%20ARAAgSgg4PXW7/+cx2lUWmRZwzFnLAqOBIQYNwTCJF38eb7zzjv0Jg2tMImyZs0amc2oUaP4O8qf%20qhb3r13VYdwcAGgoCIAACIAACEQrARpy8dbXsOgTs/Md7S80oyXSOWP1325xf4cNXszADJ8gIETA%20FnAkhIpShmLuIJiNUA2BjBYuXDhlyhT6hNa00NwwejF27Fg2wMLrooxkbGU/vaP8qWpx/xBUHepu%202tq1a6lsp06ddHtAwUgRcLlcVLXD4YhUAKg3FALovlDoRbYs+i6y/EOsPbLdl7rxz8n7fBcP9Kjt%20Nab6sl+G2JxgxTNW/sFxcif7tKbfzTUDfJcu0f6IbN9FO72Ix8+6r2fPnhGPxPAAlDVIBKQL7e5C%20WZKpnWPGjFmxonGDpxiTLvn5+YZ3JByCAAiAAAiAAAhICeR8cI+94jv2TtnIGXXtB5rEJ6VwTcbG%20V5lzd2ab4h+9YFJFcAsCmghAujThMmnUhesWmipGuoXNFqMHjb3QTi/0IuCoi/KnqsX9DwJVh5qO%20G6kxG3UZNmyYbg8oGCkChw4d8ng8Xbp0SUyM2ETKSLU9BupF90VvJx4+fNjtdnfu3Nlut0dvK+I2%208gh2n/vEnsrXbm8k70xu8dBnNGPEpI6gaWnlc3+Q4K5n/tMmv+gouMykusLmNoJ9F7Y2xnBFLEMv%20pIu50oXyjI0cOZK2m6TMyF9++SXXLVSrdHoYC0I6DqP8qWpx/wNX1aHuY51JlxEjRuj2gIKRIlBY%20WEjSpXv37pAukeqCUOpF94VCL7JlKTM+SRf6XYB0iWxH6Ks9gt1X/cmr1Z8sYGEn9flBxsQ/6muC%20YKnK9x+r/eojZpzc/7r0G/8gWNCyZnTtS5OOKOkrZkpbto8UAtu/fz99GofSJXx3l+kbwnRLTk7O%20e++9J9UthD4rK4t1D0+jfO7cOfqXJpWpfipiIOt75eqi8QhGzCAAAiAAAiAQVwSapUXuafpkB2me%20sdqdy7111XFFG40FAYsQCJ90mTZtGukWavaHH37IMyBzCpdd1jjwOnv2bBItNK+MdqukTwcNGkTP%20yp+KGMhwqzq0SPcgDBAAARAAARAAAX8CnpKTrmO7+PsmpUWW1uvsfrk9t2PjO25X3c7GxbroHRAA%20gXASCJN0ISnCEojRY/jw4bSQhj/Wr19Pb5KYodkC9IJWvLRs2ZKt46fHNddco/qpiAHVwmqkqWIi%209uHsA9QFAiAAAiAAAiCgiUD9gabtXBydByRmNC6d1eREq7E0SzL2ptRKD/YgYAiBMEmXDz74QDXc%20F198UWYzdepUvt5d+VMqqGogc67VXjV+GIAACIAACIAACISHQN1+331P9kgyf7ZYY0UXjeWV1n+7%202f3dt+FpLGoBARDgBMIkXVatWqUKfdy4cevWraPMY2RJ62HmzJkzb948Xkr5UzJTNZAFoNVeNX4Y%20gAAIgAAIgAAIhIGA11VbL5Euzh5XhKFSqsLeqquz6xBeF+aMhQc7agEBKYEI7OsS2x2ADGPR279I%20URW9fUeRo/uit/simKIqeqFZJ/KIdF/dnjUVix9gEOwtO2fd+37YgNRufb/y3483Vp3bMevX/w5b%201YZXhAxjhiMNp0NkGAsnbdSlgYC3trJ249sV7z1a+vItJX8aX7Ho/upPX3Od3KfBBUxBAARAAARC%20JoCzccgIDXPQLLdYD9Nzi0nj9uUZszvYO+7zR+sLvzCsVXAEAiAgQCBME8YEIoFJAAJ1e/5b+vLN%20lcueqdux1H2miBKq1O39pPq/88rm31qz/u9ABgIgAAIgEB4COBuHh7NgLc1mi/UM02wxFpstKTVZ%20suIFc8YEuwxmIGAUAUgXo0ga76d69UsVix/0lJ4O6Lpq1Qvlf59mfK3wCAIgAAIg0JwAzsaWOiJc%20R7Z7ys82ComUTGfYd7VPutiX+5Q9ar9e4a2vsRQf1WD4+GHmB9Nz3r+7+p8zMJtDFRoMrEMA0sU6%20fdEsEte3m6vX/VU5uPqijRh7sWj/ISwQAIFYIYCzsdV6svmQS1hnizEUtMFLYm6HRizu+ujKkiwd%20P7SXHLVXnq3ftxazOax2kCMeBQKQLhY9PGiSmEhkNPaCdS8ioGADAiAAAvoI4Gysj5t5pZqlRQ5X%20bjFZc6J0zhjGD807LOE5bAQgXcKGWkNFrsPb3KcPCBaQ3n8SLAIzEAABEAABEQI4G4tQCqeN+9wR%2096n9vEZnuHZ0kbVRujdl/cFN7rOHwglBX10YP9THDaWsRgDSxWo94ovHdXyveFiuExqMxd3CEgRA%20AARAAGdjqx0DzWaLdbvEltoiIhHaW3VzdvVtQ8ceUTFnDOOHETlUUKnhBCBdDEdqgEPXiT3iXtyQ%20LuKwwm6JbKqEHBDCftyhQsMI4GxsGEqDHNUf+Jx7itSQCwvAlyWZS5edKwxqn1luMH5oFln4DTsB%20SJewIxeoMDE5XcCq0cSWlCZuDMtwEkA2VaINCOE85FCX4QRsHo+4T5yNxVnps/TWVEj3UYmwdLl4%20bELi9xu8nDtCiXP0NSo8pTB+GB7OqCUMBCBdwgBZcxX2dr00lIF00QArfKZYDUmsASF8BxxqkhAI%20faDP/d231Z/9pWzhT2p3rhRHa8/vLW4MSx0EpDtR2tt0t7fsosOJUUVIqSaTevn+YfE5Yxg/NKrf%204SfiBCBdIt4FgQJw14uH5Tmxq/yt+6JijaB4o6LdEqshqQcBIdoP4yiNP5SBPq5YSl+6qfo/L7uO%2077bZNGBITMnQYA1T7QTq91tlthiLXTZnzFtfq71NYSqB2RxhAo1qzCcA6WI+Y4011G56p3LpHPFC%20Xm9C/TfrSl+6uWbDW+KlYGkqAayGJLyAYOoxBucBCegb6PNXLNy5Vwvomi+X1G77t5YSsNVGoHla%205Ajs6CIL19ljaGJO+8Y33XVlf7ur9OVbSv40vmLR/Vbb5FHTbA6MH2o7LmEdXgKQLuHlrVZb1arn%20Kz+ezaw0/WQmeD1VK54t//tUadZItdrwuSkEsBqSsAKCKccWnCoS0DrQp6BYpPU4Ow9IcCQJsq/8%204A+0u5+gMcw0EaAcxN7qUlYkMSPX0WWgpuImGfM5Y3Qb0X30a/eZIk/Jybq9n1htk0dH+z7iBJzt%20MfVRnBYsw00A0iXcxIPV53XVViyZUbP+DW7gm6dgdyrElzLkpqReI6QG9UVfls6bWLPur1ZpVVzG%20gdWQPumCBN9xefBHttHiA300sk3rWPissIBhOwsuS79uVvaM1Zl3vJ5+/W8TFFcVSqeV0e32incf%20TtCyvj+y3KKl9ma5xXpEfsiFcfNWnFcASNtGl/99mhUIuySb4ajG47WLanVVVzAAAcMJQLoYjlSP%20Q7r5V/7a/9bt/o+0cPpNT2Tf94Gz90h/j462PTNvX5h23SMZt/4p/fpHZGltqla/VPb6Ha5ju/SE%20gjIhE8BqSE/x8dqdy8VBIsG3OCtYBiOgaaCv9ssltI5FRbH8bF7ykFsSM/LILLn/tdl3v6N0Nv7R%20o1JvtGK77LWf0+aJ6C8DCTTb0SVCO1HKmkMDfTVb31duI2Ueq1n/dwM56HBVu+W9yvd/7xNaYoWr%20Pnqq9quPxGxhBQLhJmDz0hhnoIdNsjgxmE24g42G+tauXUthjhgxQjxYOh1XvPdbb3UZL5KYk59x%200xOOTv3ZO66T+9zH97hP7vPUVjry+zja93Z0bjZQ7ik9XbXyubpdq2SVpo68i/7EI4lzy8LCQo/H%20071798TEkCQ9nfRrNr8rCJP2Ncu6R9RY0GekzFxHdtBtUfqjbVLpJrTgbyRFawgEo7ovUvTiud6i%20oiK3211QUGC323VzoMV+NGlWsDgdnLLl9zTGktRnpLP3KKZVgj0UzsY0nanyvUc95d81ncnTc+gO%20lLP75YJRRamZId2n2naaiEXLSLhZzqOf25ypqqXMNih9ZYL79AGRWlpMfduhKXeoiFMxm5qNi6uW%20zeW2/ge/1I301J3+4z8kD7hOrBJYRYDA/v37qdaePXtGoG6Tq1TWIJAuBuPXKl1qNv2z6uOnpUE4%20uw5Jv/mJxMxWWiOjeyQkYLxVJdKCjvYXpo2dLpM6Wj3Hib1R176V//pd7faPBaEl9RufcdPjgsZm%20m1FK2bqv/l1/fC/pZG9dFf3Q0mJN2jlB4ReXMupQulKfYtn/ufSizSdchFMzGQLBqO5r+oHXTsPs%20DopV/4Zc+1a8+0jd1xrG+hhMQcUiSN5TfILuQ7mObJfap1/3cPKQmwU9RKOZId2n2nAauKDJV429%201nNY5m0vqhYx24AG+spe/4VgLak/mJZ6laixoE8Rs5rP/0EXBlLLtDG/rqfbTHs/kRWn2RyOgstq%20Pm+atU4GUC8ikCNlA+kiJ49RF33HoibpQicUOq1IK0oe+KP0Gx7TVzWV8lSer175XO32pTIPKcN/%20nnb1PbrdxklBQ659aze/S6Mu4gMO6eMeSL7sVisQppSyVcufoRE8/2DSRt+XMuxn0vdpSlhdg1zx%20zT73BtizT9Ooi7Nz/8w7/hIiBEO6j8egiUaIkaO4Ide+mkY76YZ92thfq46x6Osa/5sXKVf8lK4X%209XmzfilDuk+1mWV/+aXr0FZmljb+oZRL/0e1iNkGmgb6aLZh5iTRUUGjIqe9iSjHt9Rbxs1PJl18%20Db3Dxg+Lv9lEszmye16S1PFCdouTUuRRqglpEagXo7rDcD9xK11CmhhjeDfEj0O6V12x+EGZbqG7%20MqHoFqKXmJ6bfuPjGbfMTmzRWgqTFu6Xzpsg2+s39F3b4qe/BFtas3FRpRbdYktKTRrwI0HnppoJ%20ppSlKWG+tDkLJpc8dx2NFtbvXxdQt1Co9i6D7G0KBGOuP7ydZtoIGofBTJBGGCJBFeIENOV+dfYZ%20xdexiFchaJl+4//JZurSnWw64XvrawQ9wExGwFNZzHULfZTU8worILL4ssbqTxbKdcuEuUy30IPG%200pMH31h1+Z0Vw+5JumwSn5rhf/+08v3HsO7FCscbYuAEIF0icDC4vztY/trP6bZuU902G90LMWo0%20OemiMbR8InnQj6Vtc586QHlOqpY/y641Q9m1LQLIoqFKyg5XteyPPFKRgRdvXXX12lcj3jjBlLLF%20T11JK499mxWc2BswZltyBh17dN2W89CaFv/758zJLyonZZI6qd2xlHZCiDgKCkCQRsTX3VqBlaVi%20sFTuV5Iu9EWQ8qFTrm/h/pkiS0GLlmCkC/RpwWfTVioRbYCVN3kk0ULSRYon49bnki78oQgwqBcR%20SrCJIAFIl3DDp1Nw2Z9/TmO1TfIxp32LO/7C74UYEhBdRKb/6NGMSc8m5naQOqz54i3KB1q5ZAbd%20Agw4NYiMrZPMURq5xceIqj99nfbkkQaccsktItlUaeSNyhrS6bqdCKaU9dZUBNRj9pZdUi6fnPmz%20eTmPfEYjfpSLyZaWTcEkZrdLv/YhZQiJqS142LQTAm1M5K2t0t0QQwoK0qCvifRbbEjVcBIKAU/5%20WVtymoiHxKw2YRjtpC9Ci1/8RXqR7T75DamX+n2figQJGykBWlDH/3VaY8iF4tE00BfOTR5pLjpN%20FWsCaHdm/uTlpF5XiR9UUC/irGAZfgKQLmFlTnstl795r7emvOks3O2SFr/4q6NTPzPiSOo9Muvu%20d1MunSB17jl3uLZ5Fmb/qq2QzFEalcXHiKrXLKj+7yvSgDMm/jH92lnBsqnStb4tPZfLACpbu+mf%20ZhwAIj41pZSVLrx3dBlEa2CyfvXPrHv/lXbN/bTc2b861ZSylHVH+vNPGxORemm23F+kDcbZaKIh%20vRNsXAjwpJ2Ax0MDnr5Ta22VyGhn2jUP2JLTtVejuQRliST14ux2CS9J+r/87ek1X7yt2Vd8F6Bl%20dRLpYpUdXSw10Mf5UDIx6Vx0mpZMusXZY6jWIwjqRSsx2IeNADKMGYxaYZl+1Yo/1Wx4U1pf8qAb%200n/0O4MjCOSO1lJXrXiOJqppqiuCyRylcdLCg2rFTTbpoplu+WtqWkBjfeu8aRedZnuA2myZtz7n%20vOBKXkXAbKq0607536ZQFi9ulnHLU0kXjQ29FVo9aFppmmB3JPX5gbPHFUk9h7GhFcGHQkpZyolX%20vugB0gzclb11QcakZ+x5nQWdMzN93SerQhONiKy7DcZER3Y4TXhN9R/KOm8SkHRqdZ89xJujnNwu%20dfjPU8Oes6Ty34/XNt/9I+WySWnjHtTUBVYzLqv3/vVo/dYS18YzNZWehEvykgdl28e3dQ7I0p/h%20OmAb6fer/B+NaWYSs9pm37/MOigqFj9Qt2eNSDzOroNJM9vbmpvHlhZbUqoYHo8ttUXmrc87OvcP%20FuHBgwddLle3bt0cDkdAG6zaF+ncSNnE7TJ9SBeDD7mA0oVWZ1a++9u6vc1OcKk/+FXqVXcYXL2i%20O19Csw3/EN9uI1LJHKWNoIUHZX9V35rGPwWWDrA6rn1lctTmSKL5xILbONQXbih/425pnPrujelo%20qbSIppSyZl03uOvLF90vHcSgyWYZE59x5PcWb52O7vN3bgka4m3+3tLsfGhm+9cpXWiwZcWzlBtD%20Bix50I2equKAuV9Tx97v7DZEO2ADSlR/9tfq/7wkdeS8YHjGjY/TxaUB3sPu4r0T9dN3VR+tDjDK%20NadPyoweyQZGVLV0Dk1YYA6Th9yUft0jBjoP0ZWn5GQJ7TYjuQml7JBkM4nnECsNVpwyg5HS4J/S%20DkUZk59ztO+rUJ2qdKGyUC8m9VfobiFd5AyRHFn8qJLej6wuO1+T2aHNxcP5bhi0LpMy/dMs5yaH%20tkTacTLp4gjcYq/8aHbt5ncEm2aFm8rh3PBL67Wv9AeVkNIUFJ9u6TpYEC+Z1e1cWfHOLG5vS0rL%20vH2Bo4PSL424c0FLTSllDdk7MlhgFf98SLqtqi01K3PSMzQtTbAhWrsvoFvr0BBsNZmZPSxptn9q%20gg7p4j/YQn5ovI7PXVTdyVecsFGWdHhXUCY9dz13SF+o9Jset+d10rqfklEh6fMza0/N0wdqqWy2%20t3aI62RXT1lKgutQYtY3iTnf2HPp/dGtHCuHGjYlr+S56z3Fx1iovrXmWtZs6GugplK0i1clbc4W%20XL3IMsU7Og9IGzPd8PM8XWbU7Wgaj6LbTJmTn7O3vUC5LSLShTxAvWg6JMJmDOkiRw3pInjwKd+P%20pF+mivceofnN3Butmyfd4uh4saB/Y82i66ZymDf80nTtW/nhE7Vb/tWkOtKyaZ6YjjVLtZveqfx4%20dtPhkdUm8/aFdCljbL8reKNWUFsEqzNk70iFuio/+L/abR80GdDq0knPOHsOFwlPU/cFc0hZzihb%20gEh1ZJOY27HFL/+WmJ4jaG+GmdnDkmb7Z0y0SZcggy0pQ39C2++aAdlAn67juykPuHR6m83uTEhO%2081aV+tdiyGCygcEzV2vOun7weSW9GO46dlvd3gxvnbSKfzl7vJfkmxNl1NgL5TOkbOyNVdiTch/9%20PCHR4AlpoSOisZfK5c8EHOijTdVowkXdrtWyWigHnSyDdihhVCyZWbe7qQp7bkcab6HLD1WfgtKF%20/EC9qMIMv0HcShcs0w/pYFPf/8G3KL9JtzgLLvUtyo+QbvFdbGlZnEqDACHRCbmw63jgJLwBHQfL%202BtyFAEc+PLcS3RLYmarzJ++rEO3kOvkS26hqYO8Dkr7VrHkQVr+YUbYAX16tKyAcrbXMINLRxPS%20b/hdyuWSDTppItmb99HYlA5XWovQrhFlr/7U/+JDwY+3+GjpCzdIZ5ZrrTR0e7PzoZntXysBGmwp%20fflm2SQxGmyh1W7W1y3UWEf7C+kngOfI8t2Pd9cH1C1kbM1kj9N3VlNsA92np9TukOkWev/G+gM3%201e2nFzP31HxV6tbav/720txivu1crKdbfD+s2e1ou0laHZp+/W9ThtxM+ULTxt7f4o7XWkxbTPni%20M/5nDu3qKFscSJmLyxb+RLrGTzerird/00y3tO6W8dOXRXSLphqxal8TLhibSgDSRT9ekf0fEmxN%20OZloo5XMn82n6af6qwy5pGWTOQZRI3vEW+wOstmIuAdBy4p3H5buz5WYne/TLfl9BIv7m9GSp5Qr%20fsLf9+3As/jBBI8Bv/pqIXlJg1ULJzsKT0pZWskq2+CI5tTJljirtUvj5+562u/It1f3sV0i+am4%20d683gbIF0rpY2jFJ0+Z0GuMLam52PjSz/Wvj8H0aMemQBXmgwZasu98JmOBOm/9wWdvSsjJve4kS%20P9KPg+rxZrVkj5+dc39d5tsZ7La6oCdnUi8XuM+TzdLTrtChWjO3WMB2sU0e0657mHZpSxk6mW/y%20SMbJA67zbbbWf7y0IA3Blb3+C0r0op+S20UJDOr2reUe7O0uoDWTNOqi32fwklAvZlDV6pPSY7xw%20sO6n26r6rqkYWdjy7mPZT3xjzG0CrZFE0B7L9PXDF1+GQb9PaT+8O/XK/9VfmUEl3Sf3lc6X3NVW%20dJs+7oHky0SNDQqwmZswLzwQmXFE++FI9xKlLFi+cfmWXUJvvmyFJSW2pm15QncbzIP7zMHKD35P%20F+vMQDkpE7OhjM+UXsy8kKSea9b9rWr1i9J3aA0D7R6jULtI9/kXp7uVVate9BQfl37k9d1yUL2q%20lDujL3jqD5vlXTCblaZ8aAnO5MTULE0heWurvbVNmdyVy4ayNE51wpjqyhZN7bKIcckfR9NeNCLB%20WCTZI4X6XFHtb3bV9HQXP1azQSHy95093k3qeUNbx/uXhrTixVN2uuSZxt3fqbrsB1fSELcIMcva%200Bgy5cvxlJ2RRmhv24NWv2iV37SjccXb0+sPbuKuaP0MrQXSdHtUfMIYrwUzxyJ4dIUzPUYEm0lV%20Ky9awaiLzt7RdD8yue9oK+gWaiqNuiT1GSXS5vDcYleORNMYUWJWO5F2hWJT/tavm+mW1t1pvMUQ%203UJRpd/wGMkVHh6tuCAxE0q0CmXrdv+HJkdx3eI7TThSEhxKSYEoK07YdAvFkzL89jTazlLyoIGR%206rV/NhAIXT3Q0i+aIy7TLb6U5dfOVN5Jk2jQOoQEW7PzJ+0BV/rij2WJBA0M2N+VtqGe+lpqsqY/%20b22ZePxmDXvGymCLjCT9ggjqFiponR2Etpb4RoO7eAKszJE2sLunhP7dVuobnwnlIR1yoRm50a5b%20CAXNH6PN1mgKhhSLb6T979PoFJfgFSXmrS4r/8fdzXRL5wE03qJJt+jrmtgbe5GOY3RZXX7jpipr%20jmNQeoybN1dRWj9Kj3F1/aE7a7++t3bb9fVFbJCTpmiO2eBbhBYPD0gXnb2saRkGzWbWWY0JxWgO%20rvJlGaszbLu2KTRR04ZfrqLPy9/4lfgaa21oadHFG7+q/+YzXory9pJukW6Vrc1hIGsa1pAmKKOb%20W7QbT+huZR5IAFQsmSHdUsbR4aKsqW9l3/svunHuX52jbU/KHBD+rTBSLvmf9Bv/TxpP9Zr5NPvf%20ECA1m/7pkxlfL5d6o9nhmZOfp62WqOpg24lyGinDfpZ13/tJF17d7BLk7OGKRQ9Qqh9as2RInMpO%20NC1d0xGPLUG6B6mKA1rUV7v9I9ntZB2VSotE+8oWheZr+gUJ50I+5S7LdPgOiVpb4D1AeNnzNt99%20kAwVK/WjQ6rZnD2sshOletyKFraUjPQfPUqD6pSzR2pY88VbpS/dJP2VCebGU3GOdIvr8FfcgLY9%20Jd0StkTbsaReaByj7yflv95Z/Y+j9bvL3YerPO+frH90X+3AtRVzG9LoWeRB6TFYWj9KjzGn+rPb%2063Zf5Tp6qevkhLp9v6v5gi0wW/Wdy1Ixm4cOE8Z0so2uVF2yRqomc4zIrm0Be0J8wy9enPb8ooWS%20yUNu1tq1wWYc0VV+xVu/rv92C3fo6HhRxq3Pm5Faihbol/1tivuU7zTEHgburuN11dHiFtmq9+QB%2016f/+Pe8OqullKXt3ugYkHYlJTZIv7YpozT/SHDCGM2ZpBlitIRAdngEnO4lQsM3A+Q/L3mKT0gd%202pzJqT+8p1nKAa2Ho6I9pVynems3v0cbmAg6FpkTKHelpQy3pRn/joJLKSWJs9ul0sV+AeNkmeXP%2079vkOP+tM8FFZe35vX2Z5dv0DLhnS1SkERPpkSj9BZm0+sziquROnrLZ1esUmvn3pAtXObt0d1d/%20MDTzwrba5ow1bTZwYq/77EE2c5OesqcuooUcImyjxYZOyNW02dr3W9bwsOkUR/PHbM4UX8MbviD1%20x/fSiYt+iegLQokN67751HP2MLenPYIpvyXtF6yj4TomjPFa/GeO0Tofm7tOGm3j17ldLx2x8SJ8%2089NtJZ4Kt3dgln1gVqIhm5+GOc13KBD6fVJOy8woPcb9NU2XIlKHPLnfthEZhm8LG0rk+soqTxiD%20dNFHNSHMyzB0Rhm8mEIyxwju2uYfr9YNv7iHxPTc5EtIwNwiPoAe8NqXkv+Uvz3ddWQ79+zoMpD2%20J6Y7Z4Z3CnPoPnek/G9TPKWnuP/0ax9KvuR/QqyOfvkq3v+9VBSRw7TRv04Z9tMQPZtdnGQGDWVI%20h4mS+42n3TBk9YpIl+pPFlR/8qqsIG0dkzb6Xhp60t8Qt4vUS83n/5B77jww7eq7HZ366/fcvCQd%20jbW7VpJoYTdcZftFKNeSNmpK0sAbNEXiPlMo2zVVobhveVDz9UG0Q6ujW4OGKbiUkoD5l1XILE/f%20X0+lbxYEf0j3bNHUCmsaa/oFIRotpr6V2KJNBNvy8vrjf/rk2Lf1toRBPv3wUM2mi9zfBYynwpY0%20M/XKEhp4KTyecOy7nw5pc9+VHQZ2EDphmr35aQQBBqu6/sDnNLrubp7pkVKWkXoh5V+1/BnlIdyk%20XiMybv2T7naFIl2oUn/1EjCSUNJ8m7e6I8xpvnX3ERWk9BhXrfflqv1T9SdtPFXBXP1fyuW0sdLj%20vVN+29PIPWFDiVx3WUgX3eiUClpqNwzdLWQ3lauWzfW6aCDSNz2kxR1/1ZfkV3cMqgVVx4hoDQZd%2019YXfhHQVfLgm2gQRvl2XbBbv4kZLWkdJOWB4Z7pIozWQbL7YeY9aBUKqRfpxXrGLU8lXaR/D1Oa%20GUW6RboXni09J+OG39N+3ua1wkDPrqNf09iLdG2ANI1B0Dv3klt9dHjQZDOZckuwO0m0KK/+F2+F%206+iOqtUvU5JlWZGUobelXX0P1cXe97+NKnJjki7pSLHQIqVg8ZQnpr3datz2tB5fp/astKdeXHWg%20X+U3V5d9SS+oCC1doxn2tGuqeHOYpY5hz4BV0NRKmtPCZAxtNko2bKdLpbBJCX2foTFmBls4HE2/%20IGxEi2YnJg+4VnCbI60drWA/b/2JZ9cePXiuptGmb9eEllntPRVPV38acMb5guR+6xwdEmrrEjbv%20S3A1Lt6YOKD1fVe1v6xzC4WKwrD5qYFYjHVFa/dl9z7Ub0x4vUl9R2dMmBNKJCFKF6qaqRfVaCkJ%20AWUw1xqqqaMiZo9j6DvVB0QU5vQYWrvJDHtIFzOoJkRXqi5lBJR8lk8iMnafLKPQi4wRuY7trN30%20Ls22D1gpbcBMIzDOHkP9P1W69ZvZylPedGeR5rH4xuXDsrFAfeEG2Q1vmsocMH5VyNX/faX609el%20ZjRwlPHj3yfmNJtpreonsgbu04V0GU1DUjwMn4yc9KxPkwS5Mclu9dHvByUro60/ZfHThSDpFmNX%20K1EVtOUIXYF567+/zmuo1XcP9ep7SHxqvalMw32+iWE7Vwbd6ifRQde1H7cY+kjHXx1Pau3fR48d%20W3jv6cW6s8MJDnum/mBqgttVX7SJ9JvqcUI3Ryh5K92S+Cj7SuWwyVWMDbZwOJp+QaQjWpTVMKn/%20tZRsN7FFgO5Wha/JYP7nJ/609ljhWd9GLk2PlKSEwRckOOykXn5St0c69nI6Me3NpD7b7A2jQ7sP%20JXxXIqvuxotb0gjMlQUBMt2FZ/NTTc0Ps3H9wc0kYOjAoHr9xzADBhPKaAZzGLp0ISfVq56vXv+G%20Ki6t0Zo6KmL2OIbWU70CvaJz1RM3VW6pc46uP/SzuqYbqf5FdtpbPZ1ySafUxMOjM1W7w+IGkC5m%20dZDg/Ujd9zvNitvPb+1XH1bSLfmGB11V0I5pYataU0XFfxztLTvbkLbWmzz45uR+10gT5zNXnpIT%20NZvfJQ3jrW3aCZTXQrkjaQ0Mre7g76je5/NNgmm49Wt2tmJ/FHTNSqqSv29LSqXl8tQEcWi0cpoy%20INNyEWkRIpB+3cPiTqxjSZ1bvugB9tPOHpRxSKot/UOlC19KxSOzoWs+Ei1JF48zqWm0VJ2Oq9od%20S2X+KRmdbE8SmQG/Mek5f4zkSt2ulSTYggVJxpStKOmi0TPXF/2xzLeNA6WdGeI62dVTlpLgOpSY%209U1iDk0eoPd/mHhi9XX69xJVHfaULo2jKW31B7+sL/L9UX8pEH68/S+fb+vLvR4s7JGlm98tnGGd%20vMCGHy2CvyDB6jV1EGbhhpN/Wnt0/3fNRUtDKPeP6NCpd/4j++sqGraeonUvdMgle32H3H57Dov2%20oR7JF1aXvvDp8S1HAyTXHt8n79dXtf9hz0ZjVkR8s4EYPiSIg/+dJuUDL0QahkgXk/rOwFGR0hpX%20cZWruJo/139YmvhRTYpJab5VrytExqA2fFu2bO+55XvPbztWkdCzQ0J+y6tcx+6sVbo39Kmjw6vJ%20/fpkJu4eBelCMxxkU5gNP4VHp0PB+5G673eGjQpdaZU80zQZKXvmf81YgB5icygPbNmC25gTuojP%20+e3nCg5p+SPtcV67+R23ZC0jt6c0yim+ZTA300Vw2V/vEgnMNy7/P0+LWBprQ2MFlR/PlkTehtSL%20Pa+TSC00yYrG8d3ffSs1Thv3YMplk0SKW9OGBh9IvbAtqAVvTMoaQtnDUkffa0tKM7uBlOyOfsC4%20VhGMNunCH9I2l3TdHyw8e5vupFiS+45h6YlMvTHJYxAZ9vQPmHTX9zJmU4K7rsnAlrAuc8ANPXwT%209Clbzm11e2WbsvP1pjRkNLNvrmyLUrM7Lmz+BX9Bkgde7z65nyb3BgyMzgZJ/a9THoTRNHHlz1+c%20fHbtsW/OBJhPP/2qDveP7NA+yzeN/nC1Z/rO6vdPyjed7Jdl/1PflFEtG5eM/3P7dy98dowuwvyD%20v/qCnF9f2WFcH5+6pm80bc7IbJSnPpKBgZlLwtbXmiqq3fTPyo9Ff25CpBG6dJH2nWozxaPVNCoy%20Mcfzg6QaiTIhiVIv/dfjfxHbu3NCmxzBcYzWzoRvRqZnpwolQuDjh8pHcsAxqJp6z7K95+lv+d5z%20J0ol58x2eQkXdBRMj/GTjs43Bpr+A6fa1yEaYNQlRIBKxTXdjzQxjpBdkyrge0TQTsBJFzftAhay%20b2McVH/6WvV/G2fK0tY0GROfEfFLAxc0COO//MBX1u6kqf9B5+E09x7inS2RUIPZ0Fwvug/HP7W3%206dHi9gW0UkXZp//qSVrjS5nEaJJVKMFYoSzpUrpdrWmnC7ZUgLYJosEWrfu+hdjk6v+8Uv1Zs9l6%20qg4DpvWiHie5QqJFthTNwBuTqoGJ5FsL7MTr8Y3D+EZjNrFBsyv7vLY7tUAkW866mleHTXhQNbYo%20NRD/BaGTWO1XH5F9sK0/gg3CiE9ceW0jjbQc23s6gGi578r294/s2DFbvvZ3W6l7a7F77dHicpf3%20qg5ZQ3KTrsyz+/fFv3edff7T42sLS/w/uqogm9bAXFO+khLK0acicwhD2fw0Ko4TTVvNhkgjdOli%20UrSaVnf4pibSBEVNDy3jGAmVNbRw64LWaZRtouEvk56DKRk2BiVyJPPrikPnaxrkyvlle84HUFnU%20rsxU8fQYz1+Uel+3JE0wLGhsOemycOHCKVOmECnZYA59hQoKAmSh4Wbr16+fPn36li1bcnJyHnro%20oRkzZshwqxqEaB+wd/Xdj7TagVL9n5dpQz0WVXL/69JvNGszRN0NL3v9f12Ht7Pi6df/NnnwjeKu%20KK8xDcLU7VrVrIjqukKJtfi9IvGoxC1lKzgpI1bmpGfrdnwcLAdl1crnaz5vNvOYrtdJt6hOjjcv%20B6V4YwUty/92F00NZ8aqt2nJJnXklNSRdwo6N9aMNuWo+vgp17HGOcoi0UoDoEtSmhUWcD9QTTcm%20LZJ2hsZ4V77/6rjse6iNItlyHjn/zhM/b7wfb2y/WMSbpl8QGpEj9VL31UdKgzADrqNzOPuyq+ZC%20YBNX/vLlKRItu08F2M/u3uHtfzOyQ+ccpcQkRUVFbrebfr7t9gC6hXOmKzMagVm5L0A670syS+50%20fbir82CROYSJWW2z719mke4zI4xwJs4OXbpIo1U9udH8+ez7m+2mFQzgbVur3jpWLzgqklBTn7BR%20aRFIgFq0jGMknD6fsLdpmSXzFlDJsDEowdmwOwf+Zk3KMJIrAedVSmMe2SP7bJcOO+sdqukxOqba%20do3KbNGw/1JUP6wlXZYtW3bbbbcVF/tOXjLpQsJj+PAA+Y6Ymf+nU6dOnTevKWGFqoGsF7XaKx8E%20/H7kySMHqzM79rrqOv9lGFY+jOjivvyvjRd2tH4g+8GVlorWU1lcMucHPCT63aJfL60R0tQdEjA1%20m95tNndFzEuId7bEKlGyoqlfNJDCLWjbEG99gN2yUkf8ki6UZSMSNEOM5ompxmBeDkrVqnUY8Ft9%20Ije3HF2HtPj5Qh21GFVEU7Rs1MXReQCbGGZLC7CmmQWm6cbkDW0d71+qOcOYUQSkfuZ8uPQh7zDB%20Webjq7Z9PCnATqlmBBZBn1pHtEQGYRz5F1DKO+UvSKtjB+cn3bS7LMA92ruHt6dlLV1y1bMpCkoX%20hve/B0pe+PTYR7vPyWnnZCT0605vqs4hnO7ZlHXPuxHsLLOr1pQ4mzbSDYVG6NKFRytyKvZN9+49%20kjJbUqK8xAzfXEHZY9/pqvXflq4/WPp+TWpZXrbg6g42KqLQLxnJ9pxUR06aIyfV2fDsqE9LeTMh%20m4qIp/lW7nemZC52Hag/s/V3vX6jeiRnHTxYeiTAREpeS1aqY1zvXPq7pnduXrqTpmj2/W85LTBT%20To/x7pC0m/Ibs1mafaCa6t8q0oW+Ic8888z8+fN5a2XShY/GyHAws+7du9P5UfbRunXrhg1r3GFX%201UBWVqu9YCetXbuWLEeMGCFobx2z4qeupFXdLJ4Wd76haTm42a2gFc+V7z3KanHk92kx5U3dNfpu%20W5KA2fxuwxrixjsTAveKIn+fr2LR/bR8Qn2sSJJSliilX/dI8pCbVHGZmoNStXYdBuxWn+DNrYjf%20ptUUrS05o8Uv/xpwI5TjpbXfnquhNLUHz1XTi+W2zO/SMwRvTFon7cytq75ZVN1WMOyO3vIjN0RT%20KjwdB7Pu0U7VQRjVL0jC+fKEr+U/rNOG5d8/omO3PHXRwhqrSbqwIusOlr7w2fH3dkh2hqGsZRmp%20InMI17vfuOJG36idpoduyJpqMcRYU+LspH7jM/w2uVINg9PYeKam0pNwSV7yoGy7vk0eWbSqRxrL%20uiGdDevsOpgEDMmYr2tbklbx/X1b2rTAQ8uoSMfayh+6y32aRCJOmETJSXPSs9MeYBTips1V/zpR%20rzqOke51dyk6tPtYgIQTgTkLH8kJW75JqJBnwiAJxOQKLQaT+X/jaP2vdlQpp8eY3Uf0a6t6kETW%20wCrSRRoHIyKTLo888shTTz01ePDgzZsb54FwcDt27Ojfvz/9O2HChFdeeWX16tWTJvmWGj/88MNP%20PvkkvVA1kPWBVnvxLoxe6VKxZAbfNSKy86P8aUuHpFOvuiP1B78S75FgljTKRGNN9KnIvaIQ72yF%20Hm3DF8ZTtmCy6+Q3gt5oGTdlQBYZ/QvPUm/BsAXN6Fbf6m+KBJd6R/w2rdZonXf98+B5nzjhKoW9%20qK5v3CWjkZKW6drJtbX3p1f++OKWgztGLPnMucr6974++3hR7bHMHMH7qb0d5XvGx7J0MWS0M8Ag%20jHAuhISiEwlHz7AjauoVJFo6FLRMFfwaMjMd0oUV3HSk/PlPjy3adiYhOyOhv2/IRWQO4WMZ+3//%20gyGaIjQEsqYaQzHWlDg7fdwDyZf5MvWJP4ylQdF+/NYfBU/F951ZzBbMb3Z32ejuttHdlZ5LvIHW%20lJu/ukPTOAade7cdK6dkXw1/5V+fCDC70tcwLUdywqFTvr+GBy36IrlCfxfnK42NC6bHED8YLGtp%20LekyZsyYc+fO0XoV4iWTLmPHjl25ciUZrFixQkaTD8hs3769X79+9OmQIUPICTdWNdDqUHd3Rq90%20kd7poX0/Wvzva7ohGF6w+OmRZTX1bMe9XfkjKxOTB2bZB2Yl6rtLxMLTdK9I350twzmUvnSzbNPl%20YFXYOw9oMelZW1q2SAzhXOotEo+IDXXfoMIugku9I36bVlO0LXfsPFvckHdW9aHlxiSfrt27TRoJ%20mB9fpE3DhHLTurLO/d6Os+99/d2HuxqmCWkJO/V8yV05rokDWl2quJuhKiprGhg72ikbhBHPhUB3%20f++6OIdES49W2kQLo6pburDi249X/HL1t1tyOgnOIbyhte39y5W2tpT1tbGQw3Mg8cTZhm81awaN%20i97fvyuxjciI2c+//uu3ZWkbXd1qEtQnNdku6urNU9/8NJTVHa8tX/br6gGVdp92Cpjm+zc1a5+d%208CP/TvcpmSMlW/YUbTt0ftsZ966K7/VGh1YJ3dsLHsmOs8U3Oqooyd41vfNaZ6gD4WGw9Bj0fPx8%20ad9U19ge7QKmxwjPsWpSLVaRLiQ27r///okTJzKJQq2VSRc2g4tGXWglDHvxhz/8Ydw4394Lc+fO%20nTlzprSIzImqgQyuVnvxvole6eLL1Pmn8bylObPW2lI1/DyII9Jq6Tq07a1/vRFs67o5fVJm9JDn%20vRGpQtO9olmDOmi9syUSgyYbK+SgtMhSb+K2dv+3I/f6pkpHxW1aTdFKb8WpHCFabkwmFB5POCaZ%20n5OQIK5h9N2mpVQ5pFje3fEdjbS4PQ33WtlDV9j922fQjuykYToLrL7Q9M2KlLFJo50Vde5je7Z9%20+NnamZ19yxdFviBTzn48/47JujmEKF0oBfxPdtveyb1acA5hYl39kONHuuam0pQ2+uua53sRbE2O%20SZB1sxIsyBJnf5Q22NitZs2goSlZiOrJLd1We5n928uSjl3RLatzp9aXlF9NukJ5dceizE0TR10t%20CFZqxrIYH01u80iHXy3Nli+07ltd9MSxV4aXfdWUxdjtcp3c6z6xz7cy7cReaaoMUmI73B2+dndY%200P0nh1r1EDySO9Sd2fnttIbtucY4Olykown79++nUj179tRR1uJFrCJdOKZg0sV/RhkVWbp0KakX%20/yIy7aFqIOskrfbifRy90oXaWDpvovuU75tAD9rGhDYzEW+4eZYPLvv8mXrfPozBtq4b3cqxcqie%209cfi94q2DrUPbJVhXhtFPFshB6V1lnr/8UDNjD21gje3ciorxrrLGi50Urs2XO4oZ0wK8cYkDTIU%20na2hLZCLzlYX0USvs9VbE1LPtWstGK1Cos/cNAdvgu9FbsqzZx0rz3pUp2sn1Nb5lrG6ms83+/6w%20U9YwOmjQImxaxkC6hS6jAx/bfbsmtFS/nxow7LG9cknATBjYOsWRKPLFsayN7tFOonqytO5kWd2J%20slp6ptcn6LnhNb0orW7Ya0XL3d8QcyGEIl1qvni7avkzD3Sa/tdW1wvOIQy4JtuRaOMypulFbsqV%20G6u/LvOIDAhsG5ExIEspQ1qYD6QZn+wyfKtZ3YecrO18h8eSKtcbpzx/O28P5eSWZ6sguXKp/SA9%20D7Iflta1JG/Mgx3vVRgV+fWptx89/md9uxdId9L8Oq3H9tQLvk7vUWFP7Ve1v1/VgaHlTZs/Up4e%20b8nJYGn9pAFrOpIvqDm0YffPWXF7uwuSScPQhl3Z7cSPNEgXOStlxSNO1t8yoHThi09k9pRvsbCw%20UFVpqBqYKl2kUynOVlb3tFePLmgdylymUPCGUrZq1Qs16//OPCQPuiH9R78LxZshZc24S8QC03Sv%20yAqjDSZlzNSUgzLiS715/vulngyv8IZi/qkzadVmowbIbdIzdMXTIsWh6ZA7W1nPVArpE1IpPq1y%20tpouH+UHv5btzyha25e7u+U2qiyJVknJTZNPKhCcrv2P/imeMyUf7Dz7/s6zCl9Mfw2jicbqb4pp%20VhgpFsISrBaayX1zv1aX92r5469dqtly0g8cqTx+PqAr0i0TB/oGYcb0CpCnKJTpbQp8DHSr6fwz%20zFbduaxELk6Uz7BaDrkQcyHoli416/9WtepFascbeddO73K/4I57ATPVBoahZeGBFU7yvBWavneC%20P7WaDrkbMuqvSKyW7UDPN3lsNoiq5Ujjp2LaI2hYt6xhXbOuaG/vVbqlfv+6+m8+89bXNLXl+4w0%20qqMiVETH6lxNsxgECSfmdnyzw8R7nOMEj+T/Ob9q/rdNW06zWpw9rvDllrxoDG09F7Be6Q6zdZWl%207tyuWT2HOHsOc7TrJRhnVJhFx6gLT1W8YMGCu+66i9KR0Yp8tiSG0og98cQTsjlm1hl1UZhKMbNt%201Z2t5OkjrHzQOE58nbHq/1iEnvSWZbcsiHi0479J31eXInLP7KMepX1S5Fs78/hrXd7SWk9JjYee%20SxueV9Vl/CcxV/Be0dWZtQu6NKZfixSTtC9eTfqm+dY0wUNxZ3Uo//HzIqHeXZS6vCpN8H6nrapm%205JnDl9PsuY4pfVpqmJsrEomCzVen6tYeqv70cM3OM9+rAi0r1FVTZ/Kq81ITq/r3rE4WOuQyvj5Q%20cT7IYk1ZY7RE29np+u8FpTbhvPzvl6T87lhqldc3BBFwuvaUVtUPtm3cZ7CyzrvqYNWqg9WripRO%20Td1znaO7pY4uSH2otNW+GofIFzBvT+G5M0G/I12zHWO7p40tSO3bujEPr2DYSw9UfXygSiHa9i0c%201/VIu7ZnWu/vD8gVpUlPnEw7WR/gDnoo52Rj3f7lbMqTJ9MFzz9m77jX01ayvK/Y8qpA31KXy3fi%20dTiE9hrnDlJ2vJvy1WL2L93zHtn7VXphVKbaxlq0DD1Z4STP4Yw/kCX4vVP44Suv85Sxn7xab1mt%20Z2lN+lJPjvGHnJaTWwtX7cPJpwfnJ9MJwe9Q8jqPbnUe2+o4ujWxSn7DQnlUxGtP8iZryz5iq6+x%201YudvWl1A89G2jxoT2Zbd143d15Xl++5G8Wwu8Zx/QFfOnuRI/nJU3+ecvztgD98Xkdyfdcr6roO%20c+VfLDVwHt6YuumviZV+ucUTEpomtoX4c2uN4tEhXfxZcTEzZ86cbdu2LVmyhGz48hiZdKElNMoG%20Mv9a7YN1pepUimHpda93CrADlzWOjQBR5C3+mc3VuGFIybjZrtyuEQx1c1XSbYd9+QFFpmtfYy+5%20tL74e2XiEyr0R+fr0hrf62qXZKo9a5KWe0X5Ts8n3ZutExDEUuG2/assbVe1fU9NEuWgvDDF1Se5%20bkRmnYLKCuY55cB/M778s2C9NV2HV1yhlIetos770YFq+tuakJlwQUfBu0TS+51t0u2Xtk+6zPeX%203D5TaaKFPgi1bu9nR2o/PVxLz6cr/a6rtCz1Nuk2req87abO0hLtj7Kq5+Yr5fv3PwZOuOxPncpY%20XS5Pi9krxTWrTfllaX6jQAkJlfXe1Qdr/vNtzepvJXc6Za613LQOSKNdhn1MQcqYbikD2wbYOUQ8%207HPVnqWF1csKa0jEBvsK9GvjHN899Whe63+U+eZ2Bptfqu+c/OyZjFfP+Walhu72TKX7wHnXs2W5%20uxNFE1tr2nGPRhRbpyXa81seaddO8Hv9Y+fxp7trEx6CJ6JgZmk7/pm281/STydf+vYKVzvVqY/t%20nO7X2pw5X+46WuY6VuY+2vB3rNx1tirQZEgtJ/kWXtef8072b6NzG3J9Z7mAfDT98A13F19Yea7h%20x873S0c/efyFW/ajp4WGhkPOhJOb88w36V/+2VF6LMTDTLF4MD2iVMid2YYuitgfDXd4Aumle45n%20rypLFjmSP+52Lu/ohuRDG5KOytPq8iCoxtrOQ2u7DHVnd0z/alHq7qbt3fwDZTvMmgktfL5jQboQ%20LQsu0xcc0p3dK+mBgvDdnw7xyKr65wzXvrXMSfIP7k6+4qchOgyl+Avf1j+wp874u0QsJi33ihJp%20tKH41OVdMi/v3IKeM5OFpkT/66Trgb11R6v9VFNCgo6jwnPqm4pXfyLIM3Xsb5yXTAxovPKb4kVf%20fbdo23eNC6d1rZmWee7TJm1k9yz6G9E9OyulGRytEGhK2Ip9JSv2FdOfm+XRDPjQEva0Np7+3qpv%20z9V+e77G93eu5kxFkBlNWm7TBrsXnmhLYAuIaa5XQcOL2tSUW/f62iJyK+5PFybf00XPdeRXZZ5t%20JR5KO0MTsSj/HmXhG56rvhqkvNb9713n/r3r/Acs/Zf0oZdGqwznjRfl0d+oHtmqRyyFvbroO5L3%20CakZtLmEcthfn6z85/az9Ef9GMCz2LaGWr99n5xzj97oq055t8SAbmnKze7TVbtPVe05VcVeNM6m%2003L+kQ0bJtlt7VokNfvLZP866blluu/nhqhess43sCZyyD117JV7+7ZJvuJnqp0V0ODw4cNut7tz%205852u9CJseY/L9Vt+EeTK1ti2sRnj3e4vP+n1apzCJcMTL6xXYBvBx3G7Kv97fmGrzmtMTtfcyCn%20paddnuCQMoNMExH5eZ5eZKUIfRO1nuWUOZv1wxfCIScLmO3wmE27pqQ6Elukrc1uI3ikiZ/capY+%20Xbe1mbjVd3AGK6W+Q5qkpC09N/XHf7C37aWwQTA3p0m8Wo9kb+X5+l2r6nevch/bFSxge5vu7tOF%20qhBiZuwlOqTLtGnT2G6VZ8+ezcvLoxfLli0bP96X8IqmkNHzlClT6NlSyZGNWvGmeiyaZBBw3vbV%20Z9f2WPkwq9HZ7ZLM2zXPGTNwOrimZRga7hKx5mm5VyS7bT+oY+bQLi2Gdm0xtEtWp5zA+c1UR+R0%20ZBcIJWPmN2eq3t565q1tZ2gxhvyIElszba+vd3+5N9hSb+7ziq5ZdMFKfyRjxCF8cahs+d7zy/ae%2033pUZeevKwuyxvXOo/z3fzhuE9lQLGDqzLIaN9vVka5vGl80bJxS37NTgpYlNGnb9pE4oX0w2LNP%20q7RMKchL9Z/uJbj9WSiJPkM8UdDFH62E+eBryXoYjbdpM7/ad1O/Vjf1a3ltH985XPyhY7HEqn3F%20i786Q3/N9roR3gxO05ps8VP9F8PSHFU1u05WkkTZfYqeK48UNw5iy2loOf8McNTd28rdIE6S87Ma%20xYkqXsFDrn3dmc/3/DzTXUXbnKddNysxo6WqZ5mBpu6jRfm0NJ97sDmTM2593llwKb1j+I57fz5U%20d+eOasGhp4BjswM6ZDSc6rPoOVgSM/GznAJYWiC323fYVO46VfVvV/rZDBNG5LQccgXu6h/ZKwV3%20eBQ80jSd3DTty6lnAEVLGa27I+g+kt0nv6ndtbJu50pKMaf1a8jt9SUt0F2dSQWjQ7osXryY7TI5%20derUxx9/vLS0lK91odNieXm51bak1LTizVLr/9hxprBE57FjC+893TgFOeeR9bbkQNtFBTla9SVR%20lTqrdXk2fFu24VDZhm9L/5OQVtempaZ7ZsG+RXSfknbVpQRNdC6mtc50r8iVnrLI5puNJnJX0j+x%20LK+ILli5jOGbSQmOyGnN7KwjY2ad2/PW1jMkWv6zP+jExSv7ttrUKr/Ga1POQfnukLQLbHVrDpQ0%20/BXTla7yOSu5VVbthb4Jh8r3qi+przi+6yjtE6/grUWKvWG7rjzaZpju6DNLwRXqFPZN+aLDnrdt%20qnjrpFvwkOuZbvvmh6IJxM2I1qTfjCYNU5uSkC/6Bezg9B4Zly28QqdZ7JqufWWniyVffUcChnSv%20ps3gLq4rH+KuTHHaU52JKc5E37Oj4bnZa9+nu6sT/3efby2HyLRVDXMItQwbPn9R6n3dNE9kEjzk%20/lb02HUlnzGqiZkt0657OKnXCE2Hlnj3VX48m1Ihc+e2lMzMW5+jbcT4O8buuEcjkIPW+tZfhXiS%20Z+FRQj92u4qeKVU3e1Pfqd43FudTKQ0S96TvxXfScWCDhkfY2AiXH56M1A+TffcURGhoOuQEjzRN%20p2JN+3KmjboraeANmg5a95mi8jfuFiyiY9/PEI/k+gOfk4Cp3bkywd0wQUDLIJGOpAWCHMJpFh3S%20hfap7NGjB+3oIkPDN51ku77IPqUV/MOGDWNvKhtIV87MmDFD1V61h54rqv3NrhrBuUyZZeV359bf%20cFHLSzppW0mmGoY+A9W7RCNLN79b6KOUMfGPSX1+IFiLqttg4wynyusa5EopPdPd96bqtNwl6lxX%20NcZb7pMlPnHSoE/o2Xfi9ikWOon7t0LwXpHgaAP5p0obfttavO5uUVRjE1ncrOnuL1UhnjFzbWHJ%2029vOkG6pCpKg9oLWabcObD15UGtSXzruEq07WEoa5pMDxZ8WlQY+QoRvgdOOeAkVAVaN92yVSopl%20XJ+80Rf4RKb/Q0fYygezptu0P+nofGOgBmFveLSCX0zdZi8V1ty7u1bwprVWGtKoxK99g7XlcHHN%203V+WflybInhO1rDwXe+suWChZiTZL2yXfmHbtM0tWu6sd6jOidd0r1pWqeoh92DOyVkbpnqrmn2F%20U6/839Qfil7VUY2C3Vf5wf/VbvuAR5iYnptBuqVjgO0s+I575S4vzSEclO3QveOe4Ek+J9EzquT0%205m9Lgo6SNSdLc6XYaMxfPC0Oip3q/9CqtuJsBVMsKrVo+eHrk1AzKa0mJ9X3e/e9UPH96tFrWvUk%20Ox4Eaeg45FSPtId6JM/uI1+Mp3xq4rMMlM0Ss9pk3f2uLVnzBglm+6ewQzySKeUaCRj6qy/aKH4a%20p1TOmZOeFbe3pmV0SBdixwdeOMecnBxKMtatWzd6h88f45/S+My8eU0LkpQN/KWLqkPl7tQ3l4ku%20xUjA0N/lXURv1hp+VAneJWJjL8lDbkq/7hGRGATd8nGGfaer2NAKPe893Zj+SF6RyTcmxe8VXex0%208WhpNogKEC2LmzWNyAlCHuusObrzKP1GBoyTBqBuHdSGFMsPezbTA7rvEtE2Jnwo5usT31eqBYLs%20XjWfEsZHsRSA6w47oE9Nt2k13Zhk1RkbrcgXMxQbs2nw2ASvfc04J6vz0ThrLmHjbqlPe6KNVMqF%20bdP7tk2/sJ3vRfeWjTvWi59/xIcN/Zujesh5Sk9WfjS7fv96aVlntyE0/GLP66zOR0y6VL73aO2O%20pdxbYos2GZOfC0M6V62QD56rYb9KdB9txwm1rJIhnOWUwJr2w6eVhkjvcxvVI02TNzJmswwS6oJc%20HnzvTtMNVmkMZvvX2l4F+/K3p9fv+1TQYWJW2+z7lwkaW9YsaqQLESQ58dhjj7GcyDRhbNasWf36%209eNkSX5Mnz6dPiVJ89BDD7HBE+lDwcBfulBBVYcKnTp1R/WCQ3WCE0v8c7PSfe4b+uaRhqHU5mE+%20dMTnbX+y987+yVXZ0z8SiVDc7aiy03sOnKORFhG3yX071rbMM+/GpI57RbTKlo8R0S9cswz3rEla%20btMOSXU/1cXWcLfMd5+M7pwpYBGHHHAc46ru2ZMHtr51UOv0pKCraUO8S3SspNY3FFNY8u8SW3F+%20G/Fb4C2KjvpPCRM5QpgNhb38m5OUmNKWljk4xxGG27Q6bkzy5oQIWRxL6Jbm3aaVxmaIdAnxnByU%20lcbZOz0PHSZ9wsZVmGJRyHOt4/yjr09VD7nqta9Wr2m2stGWlErqJbmfb8Wp8kO1+yr++VDdrqbE%207om5HWiemL11gZpjYz7XDfl8Fd2x8s0FYPet6uUZu7Sd6pUH+uic7Dtg2jVI3LZpL5xPWv6d24wf%20Pt00BDtD9UgT9MPMard/XPnx0wrqJXX4z1OvvkeTT6mx2f51ByYrWPXRUzWb3xX0Zm/VLeseUWNB%20n+E3s5x0CT8CM2rUNLFEITcrrfxrGIfJu6ogO2CcBq56J/+aluj0O7J5yNEvswaOTcvK800Bd3w/%20EbxpOridTQ3fWWWbvMs3I9OQ6eA0kYnG4od49vbf+2paqveK3n+hzXRVl2HovjEZyr0i0i2NozEN%20P2+NuYNCuE1LA/x8arIvf0vTHADnWWfyM8W+lABaIXfKSaExFlIs9KNoxnchoE9Nw5KtHQmnx4eq%204WnvWo/HQxNHExPV02opcDD1xmTY+BtVUXhoqF77ijRH0zn5ijT37Zm1tMS/pp4ypzc8N712N/7r%208r15Ii3zeNvWgrPmJrV3vD1Y27cslPOPCBZxm/rCDTT84ik+Li2ScumEtPEzQ5EuFYt+U7d3Lfdg%20b9WV5onZ8zqJBxa6ZeiQKdmhVMY0pijUe6pPtNloCK5BpTRK3B6tGsfiWGNN/d6FTiP0HhH3QGMj%20lcufqd/7iayIo23P1LH30/CguKuAlmb7DzE8VlxT0gKtSQUMidBwJ5AuhiP1OdQ0lWJytqvm4CnK%20PRrgDv330dHmsmwumTSdaOir3sn9ge+qae5QQ2rOyk9rko63ail+Lzxh9yEhfFrGGQLefLq0M0vY%205Zs9nN/CtyC1/I1f1Rd+QS+W5I2Z0eWBigTfcETAHfd0TKL1b5Qht+13nqykW3R/OpGw3ym6yaP4%20bomaBnMY5IkDfEtZrr1QW7onoR5XM9J0C7xPZuLuUaEuAzNKulDLzL4xqQbPWp+HgYYh0kXTOVl8%20sp9JbmV9bOy9at0HkLemvPKjp2huvdSDo30fGn5x5PcJ5jZo93lc5W9NpwXHvKC9bU8ab0nMbqc7%20wlAKGgiZfk9JyTx7PGGfQ/RUn+muvzel3DcQ1zAiR+pFuS1mf+8YjbVHi2lB0VUdsobkJuleUBRK%20pwiWdZ3c5z6+h9bue2or6VB0tO/t6NyU3UHQiYKZ2f5DjFBT0gIdSQVCDM+M4pAuZlD1+dQ6laKq%203vPBzrP/pvSjO8/W+Q89fx8m5b68oa9Pw6xxpz59wJd2KdgmaAFXvdNU3UahQnLFt41AJd1BbEKg%209y6RCkTtbilnFEvVwuQKDd1Iq/DWVxc/fgV/p+Su9x843vL9k748P9JHvyz7n/qmjGoplHpf9Tgw%206tpX091fDbslaoGck+g9MCo9r2GHh4g8NEEIZYU3b51R3cccRteNSbO72GwahkgXHedkQW5aT/WC%20bi1rVvPFW1XL5ct80659KOWS/wkYc8Du89ZVV9AE/YObeBFH+wtpfYuO5MuWBWX2Wc7s7x2BPXjw%20oMvlohXFDocxP6OW7axoDywMSQUshQjSxazu0D2kS/l/P9hJe8D5NEyzTQmkkYrtrfZQF8fwpNo9%20DTkW2TOtmVZqsMZ527RFlxA+LW7b2j1L+zsHdmhMLhnQf92eNfRFZR/RBIOse96jFwbeMwtYqVHX%20vppu015cVdqSMutVuYqrXfRcWiOXZ02haoFsyDiGUNcHMdIEQfwWuEJIRnWftAqzD7lQCIe/rHk0%20jJIuus/JyjBNchv+HhSv0XV0B00ec5/aLy2S3P9a2vjF5mw2tYkM/LvPW11GC4tdh79q0i2d+mdO%20fs6WGuq8UPEmhMEyPGc58753kC5hOEiMqiKKkgoY0mRIF0MwBnYS4pCuy+NtGIc598GusxWyXTJC%20TiwbOGItWReHnN1204EPahKcnouuq8/u1DgXnGaEu9yS177p4GcyMs+0bys4HVzkFnvlh0/Q5E7W%20hJTLJ6ddc7+Jvfi9awOvfXXfpqUphUzDNDzXS167NtY61ye1MBCy2Uh1Q9AXmIHdpy8AlNJNwCjp%20QgGEeE4O1gST3OomFo6CHk/lx0/x8zCr0d6yM00ec3b1LTDw1lbWffXv+uN7qw9/nVBfndKxL00t%20c/YclpjZisZbXJJ9wWlBAq1vsSVpyCQejgYaUUeYz3JGhNzMB0ZdDEdqnsNoSSpgCAFIF0MwBnVi%20yJAu7ev6/Vyyc7777oamXGyTmdSHUpe0SadnZ3b6Lwt9bRHZlOqpY6/cddqXp0J1pabhN59Knh3n%20KT3FoGf+9GVn96Hm9mKDdwOvfc24TWs4ZLORmgFBIWYDu89sMvAvI2CgdCHPhpyT/fvIJLcWPxho%20JxZa/ZLgbjYanHb1PYl5naqWP+MpPe0ff2KLVp6y7/j7zh5X0PqWBHtszkcK81nO8KMF0sVwpKY6%20jIqkAoYQgHQxBKOKEz6kW3j8VE971YTBvXSvePtw17kn91VtcrbQt5i+ZbrTJ1Ta+oQKkyskXaTR%20C94l6uCsW7/5x5luX0p1yu6fdd/7yggE3YqklHWd2FO24DZWHU1OyHm0aZWnqX1p7LWvGbdpDYRs%20Kknu3AwIwSI3tvvCwwe1MALGShfm06RpNia5tfKR4D5TSJPHpLO/1Lf2poRcDcvQk3qNyLj1T1Zu%20XeixhfMsF3q0Mg+QLoYjDYNDnlSg5LuT7ryCdv2vNDZpQRiaoFoFpIsqIiMN1q5dS+5GjBgRilNN%20iWWTXa6fuc/1acixSM8sPZfCQ/Qu0cCkka8NT/A2LvGnNOGULNwAt0PSVLMYV3/6evV/X2F1JfUZ%20lTHxmVBgipc1/NrX8Nu0on0nAFkcS4iWhkMIFo/h3Rdiw1FcnIAZ0kW8dliKEKha+VzN5/8gS5Ik%20JExEHkkXXp0xYY6IZbTbhO0sZzgoSBfDkYbT4f79vtVoPXv2DGel4akL0iU8nBtrMUS6mJ1YVvAu%20Ufk/7q4/sIE1LO2aB1Iuv1UZpaBb1f4oe/0Ofocv/frfJg++UbWIIQYmXfsae5vWKMiGEBN3YiyE%20gPWa1H3ibYSlbgKQLrrRhbNg3e7VNHnMW1UqWGmLqW872vUSNI4BszCc5QynBOliONJwOoR0kdNW%20Vjzh7JvoqssQ6WJ2ykVCKnKXqGbDm1UrGsf6afFl5m0vqvaFiFtlJ97K4uI5P+A22b9ZGrZNAKLl%202jd0yKr9GI0G0dJ90cjW7JghXcwmbJT/uj2rKxar7FDJ60r9wbTUq35hVNXwYwYBSBczqIbNZ9xK%20l5C2nQ5b98RbRYNy7NTkI4ktdtpbBWt7hS1pk8O3sdegbD3LHzunJv7rkvStIzJe7Zc6pUvS5A5O%202iDl02EZ20dk8G1SnN0v57XXF21M8ATP2/u9nYhb5d6sK2wc5yEzR37vsOmWKDrGQoccRY1FqCAA%20AtYh4Ck5Ix6M68RecWNYggAIgIAgAUgXQVBhNRuYZb8x37eZ4D+S+ki2k2wWw5tJvUtsybTq/eed%209G87SBX9skvS/H6pbw5Km16QLEstYG9dkJjbobFWt6u+cKMgBWW3yk7qD3zBDcKTWEywUVYzCwWy%201dqCeEAABKKCAOVQEY/TDekiDguWIAACwgQgXYRRhdeQxkAy7AnHEzMeSr1KNvZyOjHt2ZTB6xw+%20UfFc39QWDl8iF5MezoLmAy8mVSNxWy8ZdXH2CEdOZPPbhBpAAARAIBYIJCanizcjJjdyEW8+LEEA%20BEwiAOliEthQ3dKkoFf6pTH18nTKJbNSh7+a3O/vSRf+IWXob1JHbrO3oQoe6pGsmq0rxDic3S/j%20HsRHXXRX6jq8zVtVworb0nMcnQfodoWCIAACIAACxhKwa1l2b8/vbWzt8AYCIAACRADSxbqHwU87%20Onf9IPPH7XxLWWjdy6eODqucXfbbc+jffln2/16RPrtPitnROwuapIv7u4Puc0dMrZEnNKNapCtt%20TK0UzkEABEAABEQIONr3ETFjNs72kC7itGAJAiAgSgDSRZRUROwiviDblpTqLLiUt93sgZf6wqaF%20LkndMVssIgcdKgUBEACBwARo1IX22hKhk5jVJmnAj0QsYQMCIAACmghAumjCFRnjyC7Ilg68uCjP%20mGkPT8lJaUYaLHQxjTQcgwAIgIBOAmlj709ISlMtTFuB2bQsjFF1CAMQAAEQYAQgXXAkqBBottzF%20TOkiXaDv6DzQlpaNvgEBEAABELAUAUpYn37tQ8rqJXX4z5P6NG3PZan4EQwIgEC0E4B0ifYeND1+%20e9sL+OYq3voa6ZwuY+tuttClR1NmM2NrgTcQAAEQAIFQCCT3vzb77necvUf6O3G07Zl5+8LUq+8J%20xT/KggAIgIACAUgXHB7qBKRzxnx7U5rzkIoi7OhiDmN4BQEQAAEDCND9rMxJz7aY+nb69b+tu2B0%20TZcrUkZPb3HHay2mLXZ2G2JABXABAiAAAkEIQLrg0FAnIE32ZdJKfRpyoSEdFgr9KDqQVVO9W2AB%20AiAAApEk4GjXK3nwjZWX/bJi2D3Jl99KE30jGQ3qBgEQiA8CkC7x0c+htbJZiuTTBzzFx0PzF6B0%20s50ou2O2mOGA4RAEQAAEQAAEQAAEop4ApEvUd2EYGmBLyXB2HcwrMmPOGGaLhaEfUQUIgAAIgAAI%20gAAIRDUBSJeo7r7wBe+Q7E1p+Jwx93ff0h9vDNIih69fURMIgAAIgAAIgAAIRA8BSJfo6auIRmpq%20iuTms8WG2pwpEW0rKgcBEAABEAABEAABELAiAUgXK/aKBWNy5PdJbNGaBeatraw/uNnAIJEW2UCY%20cAUCIAACIAACIAACsUoA0iVWe9b4djVPkfyFURXI9opBWmSjwMIPCIAACIAACIAACMQYAUiXGOtQ%20E5sjnTPmMm53F+mQi71VV/ozsQ1wDQIgAAIgAAIgAAIgELUEIF2ituvCHrizoClnsevEPk/pKUNC%20kC10McQnnIAACIAACIAACIAACMQeAUiX2OtTs1pkS8tydO7PvRuVIrn+QNPcM2cP7OhiVvfBLwiA%20AAiAAAiAAAhEOwFIl2jvwbDGLx14MSRFsuvEXk/pSdYGSiyGhS5h7U5UBgIgAAIgAAIgAAJRRQDS%20Jaq6K9LBNl+pvzH0cJrnFhsaukN4AAEQAAEQAAEQAAEQiFUCkC6x2rOmtMvR8aLEjDzm2ltd5jq0%20LcRqmi90wWyxEHGiOAiAAAiAAAiAAAjEMgFIl1juXTPaZuDAi7eq2HX4Kx4kZouZ0V/wCQIgAAIg%20AAIgAAIxQwDSJWa6MkwNcXS/jNcU4kp96QJ9R37vxOx2YWoDqgEBEAABEAABEAABEIhCApAuUdhp%20EQ1ZOuriOrbLU35Wdzh1hRsw5KKbHgqCAAiAAAiAAAiAQLwRgHSJtx4Ptb201sXR4SJDBl6ar9HH%20QpdQuwblQQAEQAAEQAAEQCC2CUC6xHb/mtI6p3TOWGHTriyaKqNVLt6qElbElpbt6DxQU3EYgwAI%20gAAIgAAIgAAIxBsBSJd463ED2ivd3cVVpDNFMtIiG9ATcAECIAACIAACIAAC8UQA0iWeetugtjo6%2097elZTFnnspi19EdOhw3T4uMHV10IEQREAABEAABEAABEIgvAhGQLgsXLrQ1PPxJr1+/fsiQIfRR%20bm7u3LlzZQbKn5KxqoFWh/F1LGhprXTgpb5Q88CLp+Sk68ReXmFSdyx00UIftiAAAiAAAiAAAiAQ%20lwTCLV2WLVs2a9asgKhJeAwfPnzLli30aXFx8cyZM6dNm8YtlT9lukWheECZpMk+Lg+PoI1uttxF%20+5yxeskKGUfnAbb0HOAFARAAARAAARAAARAAAWUC4ZMuBw8eJCkyfvx4kiUBY7r99ttl78+fP58E%20CXtT+VMRA5lzVYc4dBQINEuRfGSHtzJwnwbzgNliOLpAAARAAARAAARAAAS0EgifdCkoKCApEiy+%20HTt2FBUV0acTJkw4e/bsokWLmOXy5cvpWflTEQNZvaoOtXKMN/vEFq0d+X14q7XuTYk1+vF2wKC9%20IAACIAACIAACIBA6gfBJFxbrmDFjBg8e7B/3xo2N6yVoOlleXt7EiROZ2datW+lZ+VMRA1mNqg5D%20JxvzHpqnSNaw3IWGXLz1NYxPYlY7R37vmGeFBoIACIAACIAACIAACIROIHzShaQIjaWsWLGClIl/%203KWlpezNfv36sRfMbOXKlfSs/KmIgaxGVYehk415D46Cy3gbNY261B9o2grG2QML9GP+SEEDQQAE%20QAAEQAAEQMAYAuGTLps3b6axlGBRr1mzRvbRqFGj+DvKn5KZqoHMuVZ7Y2DHlhdn18G2lAzWJk/5%20d67juwXbh4UugqBgBgIgAAIgAAIgAAIgICVg83q9AYlIkxcHs9GHcuzYsWwsRerW/01KjkxJxpiZ%208qdko2ogC1WrvXhL165dS8adOnUSLxK9lulrn3UeahxCqRk4qebim1TbYi89nvn+fdys9La3vI5k%201VLhMXC5XFSRw+EIT3WoxVgC6D5jeYbTG/ounLQNrwvdZzjSsDlE34UNtRkVse7r2bOnGc4j61NZ%20g0C6NCo3qVIKpcOYdMnPzw/FSbSUTSlck7HxVRZtfevepaMfU408dd+y9C1vMLO6/H5lowJnylb1%20AwMQAAEQAAEQAAEQiHMCkC5NB0CYR11oLtmSJUuoej4UI9USyp9SKVUD2ZGt1V78i8Gky7Bhw8SL%20RK+lp/RkxQs/4vFnzvivLSVTuTlVb93nKmocqEkZPT3psknWaf6hQ4c8Hk+XLl0SE8M3kdI6zY/2%20SNB90duDhw8fdrvdnTt3ttvt0duKuI0c3Re9XY++i96+o8hp0xF6hnSJmHTxH/SQzulS/pSCVjWQ%20HZ1a7cUPbiZdRowYIV4kqi1L5010n9rPmpDxP08n9R2t0BxKLFb8+FBukHXPe/ZWXa3T/MLCQpIu%203bt3h3SxTqeIR4LuE2dlNUvKjE/ShRLoQ7pYrWtE4kH3iVCypg1d+9Kko27dumGmtDU7SDmq/ft9%20V19xKF2scnc5KyuL9RDtuMJenDt3jp4pmTI9K38qYiDrflWH0XgQRyRmZ/emFGGqecak27mQaLGU%20bokIPVQKAiAAAiAAAiAAAiAgTsAq0uWyyxoz7c6ePZtEy+LFi7ds2ULNGDRoED0rfypiICOi6lCc%20YJxbOqUpkgtVdnepL5SkRZZonjhniOaDAAiAAAiAAAiAAAiIELCKdKHtXGi2AEVMK15atmw5aVLj%20EohrrrmG3lT+VMRg/fr1tHqHHjRVTMRehB1siICz4FKbM5Wh8JSecp/cp4AFaZFxzIAACIAACIAA%20CIAACOgmYBXpQg148cUXZc2YOnUqX++u/KlqcX9Aqg51M423gs7ukr0pgw+8uE7s9ZScZHBszhRn%20j6ZFL/FGDO0FARAAARAAARAAARDQQcBC0mXcuHHr1q0bPHgwNSMnJ2fOnDnz5s3jTVL+lMxUDWR0%20tNrrgBsnRZrNGSsKOmcMQy5xcjygmSAAAiAAAiAAAiBgEoEI7OtiUkss4jbeMowRdvf5o6XPN6VI%20zvnteltSmn93lL3+C9fhbez99OsfSR6svn9lmPsUKarCDNzY6tB9xvIMpzekqAonbcPrQvcZjjRs%20DpFhLGyozagIGcbMoAqfcUHAntvR3tq3Tok96gPNGfNWlXDdQjbO7pgtFhfHBhoJAiAAAiAAAiAA%20AgYSsNCEMQNbBVdhJtBsucv3O05KY5CmRXbk907MbhfmCFEdCIAACIAACIAACIBAtBOAdIn2HrRE%20/M4Cye4ugUZdkBbZEv2EIEAABEAABEAABEAgmglAukRz71kmdt+oi93JwvEUH3efPiALra5wA38H%20ucUs028IBARAAARAAARAAASiiQCkSzT1lnVjtSU6JVtMypa7uA5/5a0sZsHb0rIdnQdatyGIDARA%20AARAAARAAARAwKoEIF2s2jPRFpdCimSkRY62zkS8IAACIAACIAACIGBFApAuVuyVaIyp+Ur9jV5X%20LW9F/YEv+Gtnj6ZVMdHYTMQMAiAAAiAAAiAAAiAQKQKQLpEiH2v12lt2ob/GVnm9fM6Yp/SU68Qe%203tokpEWOtZ5He0AABEAABEAABEAgTAQgXcIEOh6qkQ68uIo2siY3S4vceYAtPSceUKCNIAACIAAC%20IAACIAAChhOAdDEcafw6bLbcpbBxkhgWusTvAYGWgwAIgAAIgAAIgIChBCBdDMUZ3858ScZsjUeU%20+9wR93ff+kZdvtcw9BoLXeL7AEHrQQAEQAAEQAAEQCAkApAuIeFD4WYE7E7ZYn3SLd66amaTmNXW%20kd8HxEAABEAABEAABEAABEBAHwFIF33cUCowAWdBUwIx0i3NZov1GApqIAACIAACIAACIAACIKCb%20AKSLbnQoGICAfNTlwAZu5ERuMRwyIAACIAACIAACIAACIRCAdAkBHor6EbC3LkjM7dj4ttvFlruw%20h28lDB4gAAIgAAIgAAIgAAIgoJcApItecigXhICz62CbLcHb/FN7x4ttSalgBgIgAAIgAAIgAAIg%20AAK6CUC66EaHggEI1O35b93eT7zeBFvzD91Hv65Z/3cgAwEQAAEQAAEQAAEQAAHdBCBddKNDQTmB%206tUvVSx+0FtVEhBN1aoXyv8+DdRAAARAAARAAARAAARAQB8BSBd93FBKTsD17ebqdX9V5lJftBFj%20Lzh0QAAEQAAEQAAEQAAE9BGAdNHHDaXkBCqXPSMChcZeXCf3iVjCBgRAAARAAARAAARAAASkBCBd%20cDwYQMB1eJv79AFBR/X71wtawgwEQAAEQAAEQAAEQAAEOAFIFxwMBhBwHd8r7sV1QoOxuFtYggAI%20gAAIgAAIgAAIxDYBSJfY7t8wtc51Yo94TW5IF3FYsAQBEAABEAABEAABEPieAKQLjgUDCCQmp4t7%20sSWliRvDEgRAAARAAARAAARAAAQYAUgXHAkGELC36yXuxZ7fW9wYliAAAiAAAiAAAiAAAiAA6YJj%20wDACjvZ9xH0520O6iNOCJQiAAAiAAAiAAAiAQCMBjLrgUDCAAI26JPUZJeIoMatN0oAfiVjCBgRA%20AARAAARAAARAAASkBCBdcDwYQyBt7P0JAotY0q55wKZlYYwxwcELCIAACIAACIAACIBA9BOAdIn+%20PrRGCxKz26Vf+5Cyekkd/vOkPj+wRryIAgRAAARAAARAAARAIMoIQLpEWYdZOdzk/tdm3/2Os/dI%20/yAdbXtm3r4w9ep7rBw/YgMBEAABEAABEAABELAyAUgXK/dO9MVGYy+Zk55tMfXt9Ot/mzLk5qSL%20r6GJZC3ueK3FtMXObkOirz2IGARAAARAAARAAARAwDIEIF0s0xUxFIijXa/kwTemXfdwxs1Ppgyd%207Og8MIYah6aAAAiAAAiAAAiAAAhEhgCkS2S4o1YQAAEQAAEQAAEQAAEQAAFNBCBdNOGCMQiAAAiA%20AAiAAAiAAAiAQGQIQLpEhjtqBQEQAAEQAAEQAAEQAAEQ0EQA0kUTLhiDAAiAAAiAAAiAAAiAAAhE%20hgCkS2S4o1YQAAEQAAEQAAEQAAEQAAFNBCBdNOGCMQiAAAiAAAiAAAiAAAiAQGQIQLpEhjtqBQEQ%20AAEQAAEQAAEQAAEQ0ETAQtJl8eLFNr/H2LFjpe1ZuHBh9+7dyYqely1bJmuq8qf+XLTaayILYxAA%20ARAAARAAARAAARAAAQMJWEi6HDlyRLlhc+fOnTJlSlFREZnR8/jx40nt8CLKn/p71mpvIHS4AgEQ%20AAEQAAEQAAEQAAEQ0ErAQtJl27ZtCtEfPHhw5syZMoNp06adO3eO3lT+1N+tVnutWGEPAiAAAiAA%20AiAAAiAAAiBgLAELSRc2nPLwww97JY8VK1awBq9evZq9mDNnDn0+depUel1cXPzll1+qfuqPTNmb%20sYjhDQRAAARAAARAAARAAARAIHQCFpIuW7ZsofZkZWUFbNUnn3xC7+fk5MyYMYNePP7448xs165d%209Kz8qb9Drfahg4YHEAABEAABEAABEAABEACBUAhYRbrQDC7WjDVr1uTm5tJC/IkTJ+7YsYO3raSk%20hF5fcskl7J28vDxuTy+UP/UHpNU+FMQoCwIgAAIgAAIgAAIgAAIgEDoBq0iXEydOsMasXLmSpoHR%20iyVLlowcOZJLGnpf1toxY8bwd5Q/9cek1T500PAAAiAAAiAAAiAAAiAAAiAQCgEbrRsJWJ7GPfj7%20wWxCqVhWlvIUU/Ywf4e0pmXevHn0PouH5Apf/UJ5k0mBsHeUP/V3q9VevKVr164l406dOokXgaVF%20CLhcLorE4XBYJB6EoYkAuk8TLksZo+8s1R1ag0H3aSVmHXv0nXX6QkckrPt69uypo6zFiyhrEKtI%20F0pVTAnEaCnLhx9+OGzYsPXr119//fVs+IUJp+iSLvn5+RY/LBAeCIAACIAACIAACIBAVBOAdGnq%20vjCPuvgfN0zM0Pvr1q0jMUMLYEjJBBt1Uf7U37lWe/HDmo26UMDiRWBpEQKHDh3yeDxdunRJTLTK%20REqLkImKMNB9UdFNAYM8fPiw2+3u3Lmz3W6P3lbEbeTovujtevRd9PYdRc6WVEC6WFe6SKeHsSil%204zDKn/ofmlrtxQ9uJl1GjBghXgSWFiFQWFhI0qV79+6QLhbpEU1hoPs04bKUMWXGJ+lSUFAA6WKp%20fhEMBt0nCMqCZnTtS5OOunXrhpnSFuwd1ZD2798fn9LFKneX6XqRpMiQIUN4V5WWlrLXmZmZ9Jyd%20nU3PmzZtYm+ynSjpMWrUKNVP/btf2Zvq4QIDEAABEAABEAABEAABEACBMBOwinQZPXo0tZy2dqH1%20+vSC1rrMnz+fXtB9uH79+tELyjZGzzRnjCaS0YtHH32Ukerbt6/qp/5Mlb2FuQ9QHQiAAAiAAAiA%20AAiAAAiAgCoBq0iXW2+9lcVKecZo+GX48OFsjf6dd97J3r/66qvZC1oAQwZM2NCy/ksvvVT1UzIg%20wUOl6EGiSMReFRwMQAAEQAAEQAAEQAAEQAAEwknAKtKF1rVTHmRZywcPHjxjxgz2Js3FfPjhh2UG%20lDeZ7U2p/Kk/UK324ewS1AUCIAACIAACIAACIAACIOBPwCrShSIjHTJnzhyaIUavaTiFlAzfwoXF%20/eSTTy5YsIAZ0PPSpUsnTpzIm6T8qX/Ltdrj6AEBEAABEAABEAABEAABEIggAavs6xJBBMZWjQxj%20xvIMpzekqAonbcPrQvcZjjRsDpGiKmyozagI3WcG1fD4RIax8HA2qRZkGDMJLNyCAAiAAAiAAAiA%20AAiAAAiAgAEELDRhzIDWwAUIgAAIgAAIgAAIgAAIgECMEoB0idGORbNAAARAAARAAARAAARAILYI%20QLrEVn+iNSAAAiAAAiAAAiAAAiAQowQgXWK0Y9EsEAABEAABEAABEAABEIgtApAusdWfaA0IgAAI%20gAAIgAAIgAAIxCgBSJcY7Vg0CwRAAARAAARAAARAAARiiwCkS2z1J1oDAiAAAiAAAiAAAiAAAjFK%20ANIlRjsWzQIBEAABEAABEAABEACB2CIA6RJb/YnWgAAIgAAIgAAIgAAIgECMEoB0idGORbNAAARA%20AARAAARAAARAILYIQLrEVn+iNSAAAiAAAiAAAiAAAiAQowQgXWK0Y9EsEAABEAABEAABEAABEIgt%20ApAusdWfaA0IgAAIgAAIgAAIgAAIxCgBSJcY7Vg0CwRAAARAAARAAARAAARiiwCkS2z1J1oDAiAA%20AiAAAiAAAiAAAjFKANIlRjsWzQIBEAABEAABEAABEACB2CIA6RJb/YnWgAAIgAAIgAAIgAAIgECM%20EoB0idGORbNAAARAAARAAARAAARAILYIQLrEVn+iNSAAAiAAAiAAAiAAAiAQowQgXWK0Y9EsEAAB%20EAABEAABEAABEIgtApAusdWfaA0IgAAIgAAIgAAIgAAIxCgBSJcY7Vg0CwRAAARAAARAAARAAARi%20iwCkS2z1J1oDAiAAAiAAAiAAAiAAAjFKANIlRjsWzQIBEAABEAABEAABEACB2CIA6RJb/YnWgAAI%20gAAIgAAIgAAIgECMEoB0idGORbNAAARAAARAAARAAARAILYIQLrEVn+iNSAAAiAAAiAAAiAAAiAQ%20owQgXWK0Y9EsEAABEAABEAABEAABEIgtApAusdWfaA0IgAAIgAAIgAAIgAAIxCgBSJcY7Vg0CwRA%20AARAAARAAARAAARiiwCkS2z1J1oDAiAAAiAAAiAAAiAAAjFKANIlRjsWzQIBEAABEAABEAABEACB%202CIA6RJb/YnWgAAIgAAIgAAIgAAIgECMEoB0idGORbNAAARAAARAAARAAARAILYIQLrEVn+iNSAA%20AiAAAiAAAiAAAiAQowQgXWK0Y9EsEAABEAABEAABEAABEIgtApAusdWfaA0IgAAIgAAIgAAIgAAI%20xCiBmJIuBw8enDhxoq3hMW3atHPnzin3mlb7GD0G0CwQAAEQAAEQAAEQAAEQiAICsSNdSKgMHjx4%20yZIljPr8+fPHjh2roF602kdBZyJEEAABEAABEAABEAABEIhdArEjXR599NHi4mJpT23ZsuX1118P%201nda7WP3GEDLQAAEQAAEQAAEQAAEQCAKCMSOdFm8eDHxLigoKCoq2r59e05ODv37zjvvBOsErfZR%200JkIEQRAAARAAARAAARAAARil0CMSJcdO3awIZcHH3ywW7du/fr1mzp1Kv1LAy8B+06rfeweAGgZ%20CIAACIAACIAACIAACEQHgRiRLuXl5Yz3hRdeyF5kZWWxF+vXr/fvCq320dGZiBIEQAAEQAAEQAAE%20QAAEYpdAjEiXDRs2yPpo6NChCr2m1T52DwC0DARAAARAAARAAARAAASig4DN6/UGjJTyC/P3g9lY%20p4lz586dOXMmxbNu3bphw4axwZbhw4dL35FGq9VevKVr164VN4YlCIAACIAACIAACIAACOggkJ+f%2037NnTx0FLV5EWYPEyKiLdfpgxIgR1gkGkYAACIAACIAACIAACMQkgZjULao9FSOjLgsXLpwyZYp0%20jEV51EWrvSpHGIAACIAACIAACIAACIAACIRIIC5GXfjqfA7LfzWLlKNW+xD7AMVBAARAAARAAARA%20AARAAARCJBAjE8YyMzMZiN27d7MXpaWl7AVb+iJ7aLUPkTKKgwAIgAAIgAAIgAAIgAAIhEggRiaM%20EYXc3Fza2oW2pFy1ahXlPh45ciT9O3jw4M2bNwdkpNU+RNAoDgIgAAIgAAIgAAIgAAIgoEwgLiaM%20EYKJEyfSc1FREamX/v37sx0qb7nlFk6HQNBj7Nix7B1VexxYIAACIAACIAACIAACIAAC1iEQIxPG%20COgDDzyQk5MjJUtDLnfccUcw1lrtrdNniAQEQAAEQAAEQAAEQAAE4pBA7EiXbt26bdmyZcKECawX%20p06dumLFiry8vGCdqtU+Dg8ONBkEQAAEQAAEQAAEQAAErEMgdta6WIcpIgEBEAABEAABEAABEAAB%20ENBBIF7WuuhAgyIgAAIgAAIgAAIgAAIgAALRQiB2JoxFC3HECQIgAAIgAAIgAAIgAAIgoIMApIsO%20aCgCAiAAAiAAAiAAAiAAAiAQbgKQLuEmjvpAAARAAARAAARAAARAAAR0EIB00QENRUAABEAABEAA%20BEAABEAABMJNANIl3MRRHwiAAAiAAAiAAAiAAAiAgA4CkC46oKEICIAACIAACIAACIAACIBAuAlA%20uoSbOOoDARAAARAAARAAARAAARDQQQDSRQc0FAEBEAABEAABEAABEAABEAg3AUiXcBNHfSAAAiAA%20AiAAAiAAAiAAAjoIQLrogIYiIAACIAACIAACIAACIAAC4SYA6RJu4qgPBEAABEAABEAABEAABEBA%20BwFIFx3QUAQEQAAEQAAEQAAEQAAEQCDcBCBdwk0c9YEACIAACIAACIAACIAACOggAOkSANqyZcuG%20DBlia3jQi8WLF/sb7dixY+LEicyGXhw8eNDfxig/Ovo1boucO3du2rRpubm51C/0TK8Dds3cuXO7%20d+9ONvS8cOFCf1wifsaOHcsOANlj/fr1ccs/xIbzfmFfq4Ak+deK+veRRx6hnpJVSu9wP+wY8Leh%20Iqp+QmxLvBWXnhLpa0VdELBr+NeTTq0B+5fe5KdWsqFu8icZ8HtHb8YbcwPba8hXTxoP/W6ybiLP%20sjjx1TOw46SnshCvWHhU9KPJ+o5+46Sh0ncz4FdPZmZs62Lbm8iVBhFQvWIRvBpR9RM1tL1BHtIG%20BLOJyffnzJnj33lTp06VNnbdunUym5ycnKKiIqmNUX5iErJJjTp79ix1hH/XbN++XVrjmDFjZDYP%20P/yw1EDQj39dzC0dHiY1MLbd+vcLwVy0aJHy12rw4MEyLPSOrH/pHepTrX5im7axrfM/JVIXyLAH%20/FotXbpUGgn963/6lR0D9HUO9vtqbKPix5tRXz1OTNrX9FOIr555x5IZVxr8eKAX0sgXLFgQ8Ksn%20MzOvsTHmWfBKQ/WKhbCIXI2I+LEOYWUNkgDpIiVA8iPYj6L0erSgoMDfTPrtNcqPdQ6jqIiEFKbq%20iZUugwLaSPtXxA8BETlUooKbFYIM1i90RuaqI9jXSnptFMyP1EbEjxWYRFEMAU+J9AWRYg/4tZL2%20L7U3oB+ZTUCZxL6MUUTMOqEa9dULpk/w1TOvr8240pB+v2SaJKBMou8dpIu+Lha50hC5YhG5GhH0%20o68hZpSCdNFAlR9JEyZMoAsmetALRpBeMEf8CGD3FOkWINe7fODFKD8aQo97U+lJnOkQ6SmYD7zw%20ayN2K5f3FB9YE/TDncvuKcZ9P+gEwPuF8aRe4O/QrT7mVNZZ/JtIlrxWPuTCjgFuQ19SbiPiR2cz%204rKYtCPYOZBf4nDs/GtF79CXkc6cvKf4oAofcuGnX27DjwGpcwxvGnK4GfXV48HI7iUHlK/sfBvw%20K2xIo+LEiRlXGtJ78zJNwj+KE7ymNlPwSkP1ikV6qaNwNSLix9T2anUO6aKBGO9dLkL44cUvj/jJ%20gk914KOo/PfVKD8aQo97U/4rKJ3dxzuLXR7x3pTOMmLKk19jifiR/ujKZrPEfT/oAeD/LZMS5h3K%20v1Z8HIbfWeDSlJ3vpMcAPwPyyET86GlGvJaRfcsYBtk5kH+t+ORMPu+L3xXigoeffvk7AS9/ZXN0%204xV/SO028Kvnf2uAffWkfYevXki95VfY8CsN2b15mXRh1UlvFRnbnLjyJnKlIXLFInI1IujHUvyV%20pQuW6Teb9cM7uFu3buwD/oJ/xJd9X3rppczmwgsvZC9ooSp7YZSfZsHhH0UCR44cYZ936dKFG/LX%207NMTJ06wj0aPHs1tLrnkEnpdXFzMelbEj9SsQ4cO6JkQCfB+oeXd3BUHy79x7GtFsjMvL4+ZDRw4%20kL3Yu3cve8FOvvPmzVMIScRPiC2Kq+K8g6TfBd6VrHP51+qKK65gcPr168debNmyhb2YMWMG6z5+%201g2IkVenbBZXXaC7sQZ+9VgM1Dvz58+nFwEn3+Orp7unAhY0/Erjt7/9bbC+o/dZddKztLHNiStv%20IlcaIlcs0rNrsKsRQT9RxB/SpVlncdHJ3+U/k/z2xsqVK9mn/PrJ39goP1F0JEU8VH7dQy94MIcO%20HWKvO3XqRM8bNmxg/2ZlZfkHzL7eIn7IbNu2bczD7t27WUIzSovEtWvEaURXAMOGDWNfmRUrVvDI%20jx07xl6zK1Sejcr/e0ef8p8BacNZ8hb2Dh8Z0OEnumCGP1rqNdZ91I+89sLCQvY6Pz+fntesWcP+%20bdGihSzCYPP1qaeefvppZnzzzTfzUps2baLXpGApvxxPJBgwiVz4UURdjYZ/9WhUjSCQbvGfx4+v%20nuGHh7FXGpRsk30ZH3roIf9Q+a8bnZBZPiuWSNDwRsWJQ5ErDZErFsKlejUi6CeKyEO6qHTWu+++%20yyz80xbxktIf7GDujPITRcdWxEOlqxme2Lp3797B4hk1apRyqAH9lJSUsFJTpkyhERt6sWTJkpEj%20R0K9GNXvf/vb35grfnve3/PQoUODVUcJWFu2bMlvAD/++OMKgSn4Mao5ceWHLlLZNRBdwiqMjQRM%20bMVAUVrk4cOHs28WzTiSOmFv0ljNU089RS/oX+plupaCejHqGNP91aN+p9MghUHXvgFvD2n6ChvV%20nLjyo/tKg74+s2bNIlb0rQx4PiwvL2ck6evGbuDSd3zmzJn89lBccTajsbqvWPRdjahe+ZjRRqN8%20QrookaTLUH7b74YbbtAN3Sg/ugOIz4KPPvoou8qhETOFy19VOAH98ME3aXGq7qabblJ1CANVAqQ5%20OeGrr75a1d7fYNeuXfzNN998M+BYjQ63KKJKgH6Ap0+fzsxoKFLVPqABn0VGF1J33HEHtwm2aRLZ%200/dUX10oJSUQylfviSeeYOdb6dA38IaNQChXGq+//jr7uQw225bfuZc1h5RMwL3vwtbqmKlI9xVL%20HF6NQLoEPezpB/gXv/gFv/bV/RtslJ+Y+X6GpyF0MmV33OnBflD1PQL64dMI6bqKLRCnZEdsbjfd%20iMJ5XB9qXop+gKUTvUJf0jB+/PiAG4+GGCeKByRAP8BceDzwwAMhUqJfZVpVyEdU+DRCmpjElunz%20LCn0fQ+4/2yIAcRV8VC+ejTOyS6hQjnfxhVtYxsbypUGfXHYXVqa5hfsfMtmX9PPHH3jWP5VPieQ%20rZDBIxQCuq9Y4vNqBNIl6MFGMxD4DzAfQNdxaBrlR0fVcVuEfkQnTZrEmk/qQrfsDOaHTu58bQYb%20z6FJg/xm1WeffRa35ENvOJ2Iad4du2VAP5PKE70UqqNb9VJJSfP6cF0beu+oeqD1J/yWgWyil2pZ%20qYH02ogkCh9Roe8y++o9+eST7Brrrrvu4pdQbBkMHvoIhPjVu/fee6leGnLRfb7VFzZKMQKhXGk8%2088wz7JSrcK+BfuDoe3f+/Hn6xtEgNj3oHbYGmL6hOLuGchyGcsUSn1cjkC6Bjze66ct1C/0Ai6xm%20CejIKD+hfCvirSzdOLzttttYq+na96233tJHQKsf/4xY+uqN51J045BS5bIfUXp8+OGHuid6sYL0%20zZ09ezbzxmeBxzNhU9tONw7Z+hN60C2DUGYN8WsjNpjJ5VDA+GWJBE1tY6w6D/GrR13PVjeFcpsv%20VtmGoV2hXGnwpHA67jXIEgmGoaWxV4XWKw0RAjF/NQLpEuAwoKQZ/JeSLqRUf4CDTb82yo/IkQob%20RoB+gPk9e/r3k08+Ub325bmPpAx1+EEXhE5g8uTJ/JYBTUtQvWUQbPq1NBKeuzxgRzNLET+hty62%20PdBpkA910r1YkVsGAadoyyix3OX0CHaajW2qYWtdiF89rlgouQLlnqIHLeBmwdML+jdY9+GrF3oX%20h3ilwe/psJ6iB3Uii4q+ofQv0oiF3kfBPOi40lD4IdMUp1F+NFVqlDGki5wknWH5OZeyir3yyisy%20C54Vxz+hjXSSqFF+jOrpOPFDP8D8nj1t+SRbnc8Tp5SWlvoDYVlc2UPZD53K2Ske53QDjyuCya9l%20aQoQTUuQOucyJmAiKZb8mr50rF9o7kSwwET8GNioOHFFnXL99dezxtI4yXvvvSe7ZcCz2ZSVlcmY%208LzzLOOqwmUuFRSxiRPmBjYz9K+eSDD46olQ0moTtisN9t2kh9YIYa9AIPQrFpGrEfErn2jpLEiX%20Zj1FP8C33347/wGm/Qr879lzffLll18yS9rZg73gF8pG+YmWw8gicdJSbH7tS2Pf/lOuuThZtWoV%20j5nNj5dmcVX107dvX1Zcet+C3z6M6pyDkepKGjTntwzo7kDALDfsGpeGZbh64fnsWfJrngJbuuZh%20+fLlrFG8X1T9RApC9Nb7q1/9SjrNzz+hH9OW9Pj888/ZC55GnOedHzRoEPuIn1Gpo/k3ml34chvp%203Xr+NUSSax2HkCFfPcF68dUTBCVoFs4rDf495QNoVDs/06qOkAu2KK7MVK80RK5YRK5GRPxEGXm+%20pZHshbQZwWxi73263uUNp5xRARtI9/KZDX2TaS0pJZji2wazjDf0MMpP7BE2r0XUF7wj6No3WEX8%20Fi/1I9nwBb70ghUR8SO1oXlN0uXgdGCwnGN4aCLABzOpEwlvwLKyzuLfROpTbs9/X1mH8sxv1C/8%20Gy3iR1PwcW5MYPlpk059AWnwfSepf+kLQl3Me4p9E+mxdOlS5ofb8J7i32heF9mwDuUZxuidOO8I%20fc036qsnq53/CEoPCXz19PVRsFImXWnwb5n0l5TXRd9c+jpLM4zRvHpj2xUP3kSuNIiDpisWhasR%20VT9WY66sQRKChRuf0oX3bkABylkFNJN+yY3yY7WDycrx8AvZgH3Hfz6DmfHrWkE/bNNo/wdO4joO%20kmD7qTO8/JsVzEx6bcQvf2VdI/16ivjR0Yq4LeK/b7oUvr9ilH4qU6rBdv6V3kgKZsN+tvHQRMDA%20r56IdMFXT1PvqBqbdKURULpQ3/Gbg7KzK+7WqfaUv4HglYbqFQt5FrkaEfGjoxXmFYF0EWVLXz/l%20ITPuSHqXkd8m5EMuRvkRjRt2DQRIMyh0n/Tq1n8Pb/rmc4qCfqS3jXm9CiMG6CUFAvzGecAeDHjn%20j1vShazMs/+VNP3A868nM5berWSu/P2gywQJBLugYWC56pDeZeTdR1JTWot0EJvbyEZyAtooDLQK%20tiI+zYz96kkZBhx1wVfPwMPMvCuNgNKFIg94+RtsoNXAlsakK8ErDWq78hULGQhejaj6sRRnSBfR%207lAWwcRR9hPLjwM6BKUXRkb5EY0bdg0ElO8/yU6v9C+73qJSspu14n7ofEF+mD15oyvmYDOd0EXK%20BJRv28uuSulilzMnzRmQOfWpar+I+EHHqRJQvm0vlS7sJ5b3NWnFgJNyySH/UScbmbZh8ZAN+eFf%20YVw8qXZTMAPDv3q8omDShQzw1dPdX9KC5l1pBJMuVDt9pPr1NKR1Me9E/EqDUChcsTBQglcjqn6s%20g11Zutgo0IB3OqV5JILZKI9R4FMQAAEQAAEQAAEQAAEQAAEQECegrEGQYUycJCxBAARAAARAAARA%20AARAAAQiRgDSJWLoUTEIgAAIgAAIgAAIgAAIgIA4AUgXcVawBAEQAAEQAAEQAAEQAAEQiBgBSJeI%20oUfFIAACIAACIAACIAACIAAC4gQgXcRZwRIEQAAEQAAEQAAEQAAEQCBiBCBdIoYeFYMACIAACIAA%20CIAACIAACIgTgHQRZwVLEAABEAABEAABEAABEACBiBGAdIkYelQMAiAAAiAAAiAAAiAAAiAgTgDS%20RZwVLEEABEAABEAABEAABEAABCJGANIlYuhRMQiAAAiAAAiAAAiAAAiAgDgBSBdxVrAEARAAARAA%20ARAAARAAARCIGAFIl4ihR8UgAAIgAAIgAAIgAAIgAALiBCBdxFnBEgRAAARAAARAAARAAARAIGIE%20IF0ihh4VgwAIgAAIgAAIgAAIgAAIiBOAdBFnBUsQAAEQAAEQAAEQAAEQAIGIEYB0iRh6VAwCIAAC%20IAACIAACIAACICBOIKh0admyJfdy5swZcY+wBAEQAIGYITB37lxbkMfYsWMXLlwYqZbywCgMHTGE%20WFxHjayISL3nzp3Lzc1l1BcvXqy7LhQUJ6BwnPPDX3qkBftSyN7nASxbtmzIkCHsU3oRwS+OOBNY%20ggAIRISAVHRIxQgPJqh0yc/P50YnTpyISPSoFARAAAQsS2DlypVTpkyh6zDLRqgjsB07djzyyCM6%20ChpY5PXXXy8uLiaHixYtmjhxooGe4SoiBEgXjR8/fsuWLax2ekFfnGnTpkUkGFQKAiBgcQInT57k%20EUrFiLp0adeuHTeSerF4gxEeCIBA7BGoXrOg/K37Sv44hp7ptaUaSNdhdGVmqZD0BUNjHSRa+vfv%20v3XrVn0eDClFYTz99NNxq1se21dz3cbK9ivL6ZleG4I0sk5IDM+cOdM/hvnz52NILbJdg9pBwJoE%20pOMlUjGiLl0w6mLNHkVUIBBXBFxHdpTOm1i99tX6b9Z5yr+jZ3pN79D7YeYwZswYr+SxdOnSnJwc%20FsOrr74a5mCouhkzZrBwVqxYoaN2/+I01vHUU0/pcKWpiGrYeXl558+fp3bF23jLhvPu/msr/u+b%202o9Pu07UeOiZXtM79L4mwiEay45z6TEvPdKk79NrXum6deukH9H7fG7Y4MGDi4qKzp49O3XqVGb/%207LPPhhgtioMACMQeAYy6xF6fokUgEEcEKj+e7T61X9ZgeofejyyFcePGvfnmmywGuiCLbDCoPQYI%20TPu6ekepu4eneHrN1t9Xb6Bnek3v0PtR3To+tPKHP/yhW7duJE0feOAB1iIasTx48GBUtw7BgwAI%20GE7AmFGXffv2GR4ZHIIACICAMgGaG+avW1gRej/iM8dIvfjHT0uZ2VpkWpdM4wbstXRaP80uk65X%20pn9pipS/H2lxWrNOrtavXy8181/vzqsmS7pe5LVQWZq0I6tCVpyC5LN6aA0PC5vXSBFSE7p3787e%20DxgP868jbB4YXcVKawm4mFvaRgqPE6bYonraHs0NY7qFRMtg9yl6Qc/0mqmX6J05Rn3Kli3Rg39f%20SMDQCAx7Eytp8SsAAiAgIyAVHdrWugwYMID7+vjjj0EWBEAABMJMwHVyr0KNyp+GIVS6TFeo5d57%20712yZAkZ0Lyya6+9ll6QAKDLcVII0vXK9C9djsvUC13B07JmVpwedPFHr4cPHy64NmD69OmTJk3i%20tVBZWsEiWNa/RRQbRUgrE/jgEo9HpqZCCZvCKygokNbCFnMTsYDS7u233yYgHBHFRiQjnmBA91G3%20rcQ3K+zaOvkQxA11hfQ++zQaH8GUCY29sOZs2LAhGtuFmEEABMwjIBUdUjHCawyaYWzo0KEdO3Zk%20dqWlpXQfzrwo4RkEQAAE/Am4TyiN97pPfhMpaHQxTbrltttuYwHwW8jSeOhiesGCBTTvn1ZusPvN%20jz76KJMTNNefZvzzSf/0Jn3Ey9JFPF3BM7ds5QA9s09JkIhMsCGHsiqoLOmKgBqAeaZa5syZw17z%201Q7Dhg2jf2kNDAubDMiMwiYDZvnyyy8bEjZJIGoac8WgEb0JEybQv1R1wOzPhMi/jbRWR6GN0t6x%202uttpR4KKctbKwusg6ec3vmq4dPwPPiYm3/64/AEgFpAAATimQCtqSPRwQiQDCEx4k/DJl1gJ/uY%20furYLyg97r777pdeeimeaaLtIAACWgnUfLm4dtu/I6gxNAVsb9creeCPUi71XTHzB01DCpgfSWoj%20zeFL19nsRg8Jj82bN3Mzkhw0qkD/0iDMgQMH+F1nmunERjPomSbS0Av+DmUC4HNs+Nn44YcffvLJ%20J8mMB0ZCgq2f5lVTRYWFvrv17EEDF0x7kCq466672Jv+xf3fYZY0PYyGWShs0mDByoYStjRyUke0%20jp9HzlFwwgHbSHKF5/4nmccUVzgfL607/pcvT20/XqG/0ou6JeS1oPUtNE9M6mSLve1zKYMSzpUl%207DRsTciA9hn/e2nbu4e3l1YkcpwrXC2QzmHeZPxJlNLgGPtIWpz3o6zH9QNESRAAgZggcM899/Cb%20YnR/at68ef7NCjrqQqY0Y4EXwJyxmDgk0AgQCCuBKNItxMV9cl/ttg+0AqJza8BcWKNHj5a62rRp%20E/v3kksu4bqF/qWrc/Y+MyCFw+dlSdfS0OmbJW5iukX5wcYr+OOWW25hr99//321ogE+Z/m+6JkW%20zFC2KBJRLHmx9BFK2CQ8+Kj+HXfcIXXLG/LBB/J+kY50SXnqaGDoRf4aom6hCMqr6OnjJJ92lT4a%2032n41KjHV8crSGgZ5Q1+QAAEQMBAAlK5weZa+z9UpEtmZiYrc+jQoVWrVhkYHFyBAAiAQPQSoJEN%20urCmgZGA94SoXVlZWdLWHTlyhP0rm5DDr9qZgSGrlmVVhwiZrdGnsRdaMEOLT2goni+85p5DCXvv%203qYVTTIRwhtSUlIia8XAgQNDbJe1ih86lVBRfSAx5/epQ2mkhV7QM72mF/R+An0arodCcuRwhYB6%20QAAE4pQACQ2SG6zxJEAC5sKhj5SkC30sHXiZPTvC2UjjtCfRbBCIWgI0/8re7oJoCZ9CpYCDRSu7%20pKMZWbQoJdiJNVqarBonX6PP5ozREBOpNZq0plowrgx+fmlbmoUVapMPHGPqhWaIkWih50bdQu8b%20+ujfPoMCNtRlUGcBswORNV+SFHAie3hiQy0gAAJWIyAVGlIBIo9TtrGU7N9PP/1UWoCSuijb41MQ%20AAEQMJxA1X/nl715b/Hc0fRMrw33r+DQf/G6cu18CTtb1M4ftFqDnUsV7mqz5en8lEsL4jUFxqsm%20aSEtyJtAw0T8ff92BYyQv0mjTDwe/7KhhE1ugzWZaySSTCzyYHi5B9mWiOE8VAyp63d7q6/9oiJ/%20RRk902tDfIo40Xqcy3wq8Oc7t5LoZaWkPU5Hjkh4sAEBEIh5AiQxpIqDBEiwJquMulx55ZWTJ0/m%20vjDwYjWFinhAIB4IpI6akjn5hewHV9IzvY7GJtMSFxY2rWnht5zpBc/jxFKH0Up9tpqfHqtXr+Yt%20pREeZklr7lWbTymDpYm23nnnHVZk5MiRCmU7dOjg/ymf50ZrcvhsLj6gz+1DCZvc8oUrlM1MGgPP%20fUy/RKqtjg2DP/RK+eiy9ONjMumZXsdAo/iir8cee4wOcjoyeT496neWmgIPEAABEJBKDJIeCqd9%20FelCKGfNmsWB7ty5U5oNE6BBAARAAARECNAlGlt0TjOvfvWrX8mu4egjfg33xBNPMIe0woRtnELP%20v/3tb9mb999/v2p1dCebV0FbnbD0YnTz++abb1YtSwZMXLEIO3XqxIrQmhwWDK3U55knpd5CCZv2%20WWeuKJkb+acXVDslP2CDOTTSEjARgkhbYKOVgEJyZJ5GTJNPSk/K7Ok4JFlOueD48SNyMGuqC8Yg%20AAJRSoDEBUkMHrxUegRokcgIFO2txkumpKRs3bpVpBRsQAAEQCDaCWidSBNsRhObJxNwBxh6UzY3%20jOZHBfz54fOmyJt/YLzqgLXw6TqsR/yLUwx8bg+rnSZfBYyZm9ELaf/qC5t54DPTZA2XwYn5CWOR%20+r7w40H5uidYeLxUwAl7lJXb3630YI5Uq1EvCICAFQiQrCBxwc8SJDqUo1IfdSFfpH6Sk5OZ05qa%20mp/+9Kf++V6iVOchbBAAARAIDwGaGUUbsNA1IpcWdBOa/qU3ZZm1KGsZKQ1pjmO6ZKeL+2DZzGTx%20Uzbk7du386t88kP/qmYUoBg+/PBDaWyU4IXFTFeZTK5QwPSa9qVhZjSCRFtz8tpDCZuNsZBzPl+O%20qqAm0944Ec99HJ7DI4Zrod2E6HiWSms67AUP5hjGgqaBAAgQARIUJCtIXDAaJDdUhlwSEpS2pJQy%20ffHFF++77z7+znXXXUc/coAOAiAAAiBgEQLY5s8iHYEwQAAEQAAEBAlcf/31H330ETd+4YUXpFO9%20AjoRGnWhkuRIKl2omunTpwuGBTMQAAEQAAEQAAEQAAEQAAEQ4ARISkh1CwkNVd1CZUWlC5k+//zz%200o0t6V+oFxx/IAACIAACIAACIAACIAACmgiQiCApwYuQxJD+q+BKg3QhL2+88UafPn24O6qDBnqw%207kVTV8EYBEAABEAABEAABEAABOKTAAkHkg9SoULigiSGIA1t0oVWapJrvmSf6qCBnmHDhm3btk2w%20PpiBAAiAAAiAAAiAAAiAAAjEIQGSDCQcpPPESFaQuJCluFQgI7pMX+qCsphRNoA9e/bwNymp2R//%20+Eeevj0OewJNBgEQAAEQAAEQAAEQAAEQCEaA9m958MEHeT4xMmPjLYMGDRKHpm3UhfmlCmhvMum6%20Fwrinnvuufjii4Pl5hcPCJYgAAIgAAIgAAIgAAIgAAIxQ4AEAskEEgtS3UJSggSFJt1CQPRIFypG%20wzo01iPNOUZv0kaYt95668iRI1etWhUzrNEQEAABEAABEAABEAABEAABHQRIFJA0IIFAMkFanEQE%20SQnxeWK8rJ4JY9KKab+XGTNm1NbWyhrTpUsX0lLjx4+nrQZ0tBNFQAAEQAAEQAAEQAAEQAAEopHA%20ypUrP254HDp0SBY/LW6ZO3euSB7kgA0PVbqQ01OnTs2ePZs0TMAKsrKySMP06tUrPz+/Xbt27Ll1%2069bR2A2IGQRAAARAAARAAARAAARAgBM4c+bMiRMnTp48yZ737dtHiqW0tDQgIlIss2bNatu2rX6A%20XoMeu3btmjx5sv44UBIEQAAEQAAEQAAEQAAEQCAWCZBMILEQuuxICN2F1MOnn346ceLEzMzMWGSO%20NoEACIAACIAACIAACIAACIgSIFFA0oAEglGKw2DpwsNaunTp1KlTO3bsKNoy2IEACIAACIAACIAA%20CIAACEQ/AZIAJARo5phRioX7MWCtizLeDRs2fPXVV9I5cPT67Nmz0d8paAEIgAAIgAAIgAAIgAAI%20xDWBli1bShe00+sBAwYMHTrUJCimSxeT4oZbEAABEAABEAABEAABEACBuCKgc1+XuGKExoIACIAA%20CIAACIAACIAACEScAKRLxLsAAYAACIAACIAACIAACIAACKgTgHRRZwQLEAABEAABEAABEAABEACB%20iBOAdIl4FyAAEAABEAABEAABEAABEAABdQKQLuqMYAECIAACIAACIAACIAACIBBxApAuEe8CBAAC%20IAACIAACIAACIAACIKBOANJFnREsQAAEQAAEQAAEQAAEQAAEIk4A0iXiXYAAQAAEQAAEQAAEQAAE%20QAAE1An8P41kQcthC/5VAAAAAElFTkSuQmCC" height="497" width="1086" overflow="visible"> </image>
            </svg>
          </div>
        </div>
        <div class="fig"><span class="labelfig">FIGURA 2.&nbsp; </span><span class="textfig">Balance hidrológico (2020-2050) para la zona de “Ceiba Mocha”.</span></div>
        <p> La <span class="tooltip"><a href="#f3">Figura 3</a></span> muestra el estudio de probabilidades para la región de “Ceiba Mocha” de
          la serie de 31 años (2020-2050), donde se clasifican los años según su 
          probabilidad. </p>
        <div id="f3" class="fig">
          <div class="zoom">
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              <image transform="matrix(0.6345 0 0 0.6345 0 0)" 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n91ggw3c%20lLeUyk95fpqRqYoqr6jbuQIHE+e2E6/ekZvT3Llze/Xq1bKJtdQTT4DOBD1VsmaHO6UYQjeIPhbK%20nTWInobiCxYs6NGjR8uewcG0fdNxEDcuNZRduHChTOkkH252Fy1a1K1bt1a6m36fxqhz8FTGaTuH%20FiXwIIjRJiwMx9gSZu7OPfdcZ+hFCjrnV+9kQNN65+MaPGbHo6o8ckqdJFAAAY+twJcqX3qU9AK6%20EdC0Bpqz286CGm/TyJYxeErjd3KawYMHIwHCbXzKeMlLL72ET8TI+MTAT/yihPz4MRRPbNtqmCBg%206QY0bQJWZXn5yoIvPRKFKzNFcRJoDwIe24IvVXo9eg3Kwg3ogMa0RlZJrITieQVPzpSdBffcc09s%20bik7C9x3330SJOHTPGGHc/MwXcOLzRLbxdZM0LlonfPrbNEI6k2XQYOvGM4jFn3RUAMJlIeAvpl7%20b1x6l8qgwbmI9c47mw4i6JxfZ8E02cwreEpj22+agw46CAqx1Akh1GWXXYbzvfbay3xi/0xcx1we%20xpy23npr+Spy0SQeM2YMdg+fPn26JMZ1zADiCj5F0E6wzTbb+M1Iem251oz0bgRP6ZGDR1XBsdAB%20EvBFwGO78KjKV+6C6AnIIZTpUHZzKt9cgqcgjLDaCTthGkzyeB3+xafsXCDHk08+Gb+IxPItEuNB%20PFtJhHvLBJnKKQgo8VBvugwaMtFumVifo5YmmIAEKkqgbK1D708ZNDhXBr3zbqZD2XXz1sudrpnp%20XIKn4vMpJXr88cdjtbgc9nNnGD0y141vDS/iW1zH9uJymMTQjH/xGUkQsCYFNO2lRvryv2x6nCs/%20BUmg5ATK1tb0/ug1aIosoPVQpp3tOgtqCihZtlzBU375TNAcqlRC2fUS+ihLylfey6ZHiYXiJFBy%20Ar5anK9sBvcnoAOhTIey66vO+NLjP3hyJuss6ItFVj0BHdaY1sgKIr2GrKgbpvflhi89XjJFJSRQ%20cgK+2osvPUpcejc0GjSywTOudCCruDMrZ8H2H3nSoNHIZi17O73GrkZW47MvWS/+e1FSnkDQF1vq%20IYECCJSq9flypgBu3n8Ehsq7xq5GNlQZNbTrf+SpVNnLz5mK1gC920oNSnG/Q19enMmvjlEzCZSW%20gK+240WPUolSvLq/wfQZL239LMAxz8GTc2EUL1gA3DxMOIPy4kxY616yYJS0U178kqE2EkhDoJ1a%20UNi8hLWepqz9pnHOb/GCCRn3HDz5RZy3NueSUDpWN7t+4xUv9LwoUVYDipNA1Ql4aUflUaIpDi+5%20cHCgbnYdEOUkUuvgyZlpPeurMtdKcSms8ihxrjwUJIF2IlCeJqn0RCmuLNNQ1kPZVeIqg7jP4Mm5%20GIoX9HUbLkMRpvTBGXJK/QUk85IFL0oKyCxNkEBVCHhpU16UhCUWKgtVtOvsc/GCzSqVz+ApbMUt%20zLpz4Sk9DGVX6bbHESO9J5VmqM8+NZBATgRK0rKUbijFc2Kbt9p65lpPlcGTnmEGDaGqqdJuWPFS%20hV8ZCptJSYAEshBQ9jNZTDVNq/RBKe6chVB2nR1uA0FvwZNz4RUviGILYjRUdXHObCiH43a9ZMGL%20kvIwoSckUCoCXtqXFyVhsVQxC84+OwsGuQtrvI1XKm/BU9j6WgnrmpLTyCrhKE0rxZXOG/GSuOEr%20O9RDAiUkUJJWpnRDKR6qXCrqdihcert1DJ5qVcnCZtaLdb0SvQZ9S6MGEqgDAX1b02vQjGp4KSMv%20WfDiCZXkR8BP8ORcV4oX1KB09lZjNGxHECrLHkeMgmdBWfoUJ4FqEdC3OL0GJbGADoQyHcSus9Hi%20BTltp2xT7uLOhe1uUrG0S2OUcY8XelRCAnUmoO8w9Ro0/INYD2JUQ6nSsn5GngpGoKkizrLOgko4%20oeyGHfFSQqM4CZBAQAIBey1fuQ6YhVCmne06C1b6LuMheHIG5yzoq3kUpidITpVGw4p7aVTKLBRW%20PWiIBNqPgL71BdegdEAp7lYlghh1c1Up5ZxTZ8GIwx6CJyUCiicQ8FXMBUPWu10GDQVDozkSaDMC%20ZWjFeh+CFEpF3Q7CKpTR6gVPmlrlLOss6GUEpfjKoclv8d7SIgmQAAnkQaCKPaHGZ2dZZ8GK3iLh%20drDgScM6j0ZSQp0aRBpZJQq96TJoUEKgOAmQgJf7YqV7A43zGtma1L2wiLTBU1jva1JFCs5m2DLV%20W9drKBg4zZFAGxPQt0e9Bg3esNY1nlO2GQEvZaoNngouHk2enWWdBb388HIgrHHYwZwtEtC0uBHc%20ASVAipNA+xEI3ioDOhDEtMaos6yzYEX77TDBk4Zy+/UsDXMUClEouwx9alKxmU0ScCBQz34pbK4d%20iql4kYCIVMFTQL+zFpKzq86CoaJpjcNZqUbSBzTN2EtZdhQngVwJ1LlzCJJ3jVFnWWfBXOteTsMT%20quCp4AxXqGCUZELlVGNXI+sl9NE7oCw1ipMACSQQULZQpbjy16zeulvdCGXXzVuNVOVyGiB4qhwj%20TYUoWLa6bKvrecFFTHMkUFsC1e0lqut5+StbKLYBgqfiC8MZrrOg5leOxqiGrcauRlbjs5EN7oCX%20XFAJCbQ3geDtVOOARlZTrM52nQWreP/SEHaTdQ+eNAXj5mtLqSlTpqz4xTFz5kyTfo899ljBOpAM%20XyGBuWZrbnbdpEGCr35xtHSJCQogUMKqWECuaYIEqkhA2VqV4gGJVdfzgNByNa0sEffgKddcxZW3%20zCdimoMPPtgIfvOb33zuuefk33nz5kUU4qsdd9zRXOzXr5+cR6737ds3Ljh06FBzMZ6gYCxlMNey%20aMrgJH0gARIgARBgf1XaalCtoik6eMqPzqRJk1AnzjjjjPfee+/www/H+bRp06SWzJ8/v2fPnu9/%20cey7777y1dixY3Ft2LBhSCAjVc2um9p2/fXXi+AHH3xgC0aqo3M2nQWV7SGUXX1fFtBzJXOKk0A9%20CSjbrFK8isyds+wsqO+Zi+Ssyaazn47BUxBfkzN51113IcFee+2Fz8GDB+Pz+eefx+eCBQvwiYEo%20W/yee+7Bv4MGDcLn9ttvj88HH3wQn/HrDzzwQFxwq622MoKRBM4lERFc9Ma/3v3wk/TaQpVIKLtC%20Jqz19KXDlCRAAuUhEKrfCGW3YPIVyqbGVcfgqYSF8eSTT2LMaf3114dvCxcuxOd6662Hz5deegmf%20EyZMkBVOsuBJJvK6dOmCz3XWWQefEmk1u27y2zKB/o5+65NLDv/j3NNvev6H180/b8biV9/5OG/a%20mgqk9C2gaaXnFCcBEghFIGC/EdC0G+1qOVwhbwsNnorhgnVLp512GuqZjEK9+OKLdp0bOXKkWQuV%20UBeLcTXiAIze+uQbkx99fZml//7myRffO++uL/nf0Ocg3urDRKXbSnG3nohSJEACXggo229YcWcC%20zm47Czq7qu/hNaazyhbPp8PSpV/cqNM5Ky6+88476ZJ/KZVz9jIJ4nk7WMWyp/POOw+C55577pgx%20YzCpt/XWWx977LEYgho9evSdd96JdU5PPfUURqowFoWICheRHivH5TrWSE2ePFmun3/++SYbWCGO%20BE8//TQEGyZoWeFkGrHZceZ9n3z8abREdu2z7GZdCg1zHQqXIiRAAiRAAiTgl0D37t1TKswazIja%20lVdeGZ8OshUInjJFTv3790dwgxVON910UzyOwapwPGSHhd6YfcspeGrpLYKnHj16xGsDBLHOCbN1%20ka+W7bDMDv+x6ve2XDOhAolRWRefsp6ZZC0dlpQg1qtXL1t5SsFm/tjic+bM6dOnTybPU1p/9tln%20N9hgg0ya0yeuqPKKuo1yyc/z/DTn6nauyvNmgiaPVuxw07JbaFx87ty56KlS9g9ZraMbRB+rdLuZ%20UUyJ4NaQ7HlWh4UVbjqyiMXhaGnxhRdeWHfddeOaWwomOGNkFy1aVNrgqa3GMzCwJAGERE5yyCZP%20kak6iQNkOZS9QEquv/zyy5HrRlszQYdKGRdZbcWO8YtoS6us0OC6SZmym2jooUbWS5bdlFTUbbfM%20UooE2phARduyxm2NbPE1oVreFsmnuOAp7zLA7Ntll10Gdn/5y1+EoFiUJeS//e1v8SnbGeDxujRP%202MmTd/JgnTlEUJ6wa5hAU3grLd/xG91W6viZ1//v+OTTpf26fDYR2U5H3pWhnVgxLyRAAs0IsCcp%20bd0ovmgKtlhc8JR3GV999dViAuuWZJtxDETh3+OOOw6f8rQdPnF+/PHHy1pyrIXCxenTp2OwCiui%20cMVcxxbi9vXx48fjCj733ntvEYwkENPOhWcEvzdora6rLg9Vyy3boSNm7JZZZsSA1Xuu+dWy9R3O%20OdVXg4Cm9c5TAwmQQIRAwBYdyrSz3eIFWV2bESh18IQlShjjWbJkSZrywxrwhskw8iRbQMmBxeD4%20jFycPXu2fIvrM2bMiCS21bZMkMbVhDRrrrzc/91j3UO2/vrg3l/79iadT99lnV037qzUycArJ4BU%20SwIkEJyAczyh9DyUXaXbDuLF57R4iw5YShc83X777Rgr2njjjVdaaSWs7MbSb6wXwzASli5dccUV%20CYEUNnmKHHh6TohgVMlsLy6zeJGLNjgkxu7hcpjrJ5xwAv7FpwjGEzigTxDZrs/XDt5qrd2+0Tlh%20zMmvxUzaAtbsgKYzIWJiEiCB9AQCtuuAptPzYcoSEigoeEpTQRE2IWbCvBiWLmHd94ABAxA5ybHq%20qqtiYOlHP/oRAilMxqUZi0pj0W95OFssXhAZdzaqhKaxq5FVuk1xEiCBXAloWrdGVpMpjV1n2eIF%20nRE5u1oJiwUFTy1ZYIYOYROCJGyqhDelvPvuu/fee++NN96I5+ZwLF68GI8s4sVzJ510EhaGH3LI%20IS0VVj0BXsCHo4S5KL49lBACXSIBEmgbAuzT2qYoi8xIWYInvCkF71dBwDRq1CiMPwkCu0537tx5%20+PDhP//5zxFInXLKKTkxKk8r+u///m/Ejvfff39OOQ2iVoNXIxskszRKAiSQiYCmjWtkMzlZz8TF%204y3eYtaSLUvwhKVIZjUS8vDEE09gLAqbg9uHvJYOhzwZl3CUn7txvpmr3/72t5HmhhtuaJZNTR6d%20ZZ0Fs9ZLpicBEiCBwgg492zOgpHRgUw51RjNZEifuEKuZs1sEcFTVnwHH3zwoEGDsFocr6izD7MZ%20QdZMFpA+ax5burTnnnsiDQafXnnllZaJK5FAg0gjWwk4dJIESEATTyhlawK/Dh1pYXksInjKVC8x%205jR16lSIjBgx4owvHwcddFAmVVkTFwY9jWMYXdt8882xrT6iKL/xU6mymQYF05AACZBAaQnUpEet%20STbTV7PSBU/iOp6wmzhxInaztI9yLqBOzzqeMrk6Ys5u4MCBjz76qIxC2UeQehzEKH9QaioYZUmg%20cgRq1c84Z9ZZsEL1oeR5LF3whNXihx9+ODYmwM4FbsVcPPGcLK655pqYtsMe6IifrrzySjcaJZHK%20CVFJckc3SIAEykCA/UzLUigeUfEWW0LwkiD34MkB3DbbbIM9C/CmFHnLijmwT6aXPFdICeIn7N0A%20h+XdfHI4IPUiG4SbJrNBHKZREiABJYFQrd7ZrrOgsj9Xcm5XcU1xpGeSe/CU3hVJ+dxzz2Ebpzff%20fDOroDJ9MbhtJ1NaxPL5/v37460y1R18SplTZQlSnARIgATqQ6D4frV4i2UuzdIFTy+99BJ44U29%202BUz8roV7JZZQpQF1Cd5wzEGn/yuHC8hzIhLBbAtPwR6SAI1JMC2n1+hk60XtqULnvCUGSIn57y1%20ZbXA4BOevMPgk/LJO2c4zoIclHauyRQkARJwIxCkv9IYdctmhaTaEk7pgidsVYA6gXfbDRkyBIuc%207APbi1eouvh11X7yribjT23Z3vzWCmojgTYmUJ8eoD45bafqmm/w5FAn3n77bUROEj/hmTv7eOyx%20x3JC7+Cn0pOsFuXJO9m5oIYL55W0KU4CJEAC7Ucg631ET6B4i24+F+BnvsGTQ7Y33HDDSMxk/h07%20dqyDwlxFCigh47+9c8Ef/vCHrPlydtVZEB5qZLNmkOlJgARIQAhoeh5nWWfB4kuNruqZly54wguA%20sexJjqzZq1CFyJo1Sb/WWmtdcMEFOPnRj3501VVXuSmphFTbF2UlSoFOkkBYAvXpB9o+p+2XwdIF%20T2irV1xxRdeuXbG9E/YZt48xY8aEbcm+rGuqERaPYx+sDz/88LDDDttuu+18udRMj8ZVjWze+aJ+%20EiCB9iag6X80sgVTrZCrBZPJ21zpgifs84RhFezzhH0yI8HTgAED8sBRucp3zz33XHbZZV/96ldn%20zpyZcv6uWnmslrd51EnqJAESEALV6g2q5a1bHatDHtOQyTF4ckMs+zwhTlq8eDE2drKPsj1t55bB%20NKXSMI1tDvuIXnjhhUhWw82fnAFSkARIgARIoIpRqUOp5X2DzjF4csgtRDAnhcgJj9otWbLETUNN%20pDB/h4fvsPlT7969c1r/pKl8zrLOgjUpd2aTBOpGwLlPcBas3IhXe1cJTTnmR6Z0wROyOm7cOHx2%2079490z5P5eSbX8lBM4blED+9//77WP+01VZbvf766y2HrHL1h8pJgARIoOYEir8TFW/RrYir4mfK%203JUueMKA04gRI+TddgXs81Tp4sTmBQ888ADWP/Xt2/eRRx454ogjarJ/ZsrKzWQkQAIkQALeCVT6%20vumLRumCp2eeeUZWi0+bNi0SPJVqn6eCa0+COax/AigMQWFzdo9TeJoMOss6C/pqD9RDAiRQQgLO%20PYOzYJCZO423DqVWsDkHD8ssklfw5Fwq2CQTkRNebzd8+HCz4ZOcbLzxxmVGGdA3DEFhCg98zBTe%20q6++Kv44F0TA7NA0CZAACVSXAHvdkpRdrgWRV/Dkxg5ZfeuttxA54U0sI0eOPPfLx5QpU5qpzZWR%20W14aSuXnJ+KnqVOnmik8LBcz8ZNH/9Oocs6js2Aar5iGBEig0gSc+wdnwQrhqkoenf10FsyvEMsV%20PCGf2KpA3mGHUOC0Lx9XX311fiDaQ7OZwsMSqF69euX0FF57sGIuSIAESIAESMCNQOmCpy5dupzR%205DjooIPcMul9vKrgKDiTOZnCM0/hDRo0yGEVeSaLfguF2kiABEigJASK7wkLtuhszlmwJCWrd6Ms%20wRM2FseB/Ky//vrHNzn23XdfyTB21tbnvI01RJ7CwxSeQ/xUMB82xYKB0xwJVI5AhXqJCrlauWpQ%20EodzCZ4c6g1m6/r37z948GC82A5PjcXpYAuD22+//dhjj8Vr784666yG+LAoaoUvDjvAwrm5bgRx%20EW84kcPW1uy6Lbj8F0emUnTAkkl/JHFkCu/KK6/UaEspW3AeU3rFZCRAAnUmUId+qQ55dKjD+WHJ%20JXhyyCEepsPeBNikAC+223LLLfFWYARSZpNMBEzYM3OvvfbCgmiMP0XiAKGDoAdrzI3pHXfcUYay%208Ilzc71fv37xi9gnSRIg8dChQ01ic91ciSTYaKONHDJbmMhaa63lMIWXX20rLOM0RAIkQAJeCLA/%209ILRKHHm6Szo13+jrSzBExzC3gRPPvkkQqjDDz9cHrgz+zwhqMJLgi+44IJFixadd955nTt3juOY%20NGkSLmIvKDyuP3r0aJxDlfmU68OGDcOLXxBmyVe4+MEHH5iLuHL99dc3vG7MSYIzzzzzww8/FMH7%20778/p7IRtcoag/jpwQcfNE/hIQzddNNNixmFyhULlZMACdSQgLI/rASxOuSxEgWR7GSJgidxFCEU%20wiNEUe+9954ET7Nnz8Y5RlBGjRrVMGwSQaTEJ0an8IlRK3w+//zz+LznnnvwiXXT+Nx+++3xiWBC%20LuKVJuYituo2iePXDURb2w477CDaylkP7BZ46KGHykaacBVs8ToXt4XkyTllmy9nTaBXJEACxfdO%20xVt0K2VnP50F3fwsm1TpgicbkOyNiSXkaaghxsLYkiReuHAhPtdbbz18zps3D594iA+f66yzjgRV%20DS82S2xbF0GM39ja0rgXvJ7JENRHH33EUag05cU0JEACJFAtAsHvMtXCpfS21MGTW96wLGnMmDGQ%20lVEoHjYBtK7kUajim1/xFlklSIAEqkug+B6jeIvVLZ36eN5h6dKlmXIr1eidd95JkHKram5ScCMi%20iAfrcBHLnjD9hxOsEMfKpKeeegqDUngcD4vK8RXmsHDx6aefxsXJkyfLxfPPPx8rxBteN5mVBHgB%20nwhi6ym8jheCLRkaJ2UZexkOFD2WcP3+97+fO3cu/Nlggw0QV+29995l8I0+kAAJkAAJkIDMF8mR%20NVxJI7Xyyiu7afYfPLnFQG5S8chJQiUs5cYaKQFXwuAp5URkPHfJDQkZx0J7SZOeJ7aAwlON2JHc%20CGJpFOhhms82hwALbx1OcCC9xYgSCD777LMI3fLoJvLTDG8rqryibucKnEzirS9vJn369HHuNBJu%20onPmzEFP1Uyz293X3FyxbAN9bCa301tEB45bg1GeXtAuu4ZSCxYs6NGjR0IH62ZLsLzwwgvrrrtu%201t47pUWswLGDJ7coJ1nKOXgqy7QdxmMib7KL/5vwbjspOewCJQGEiZxwEW8pwSf2kcKnWQvV8GKz%20xHa1EMHFixfb2rLWm1Klj6yFQp1++OGHwbCYJ/IydUOl4kZnSIAEQhEovt8o3mKRbJ1z5yxYZO5y%20slWW4AnBTeRNdvF/k99th9BqwoQJwPTXv/7VhmWesMNF86ycXEx+ws5+Is8otJ+wu/vuu3FdnuNL%20Pspfw2QtFLYnRVwor3bBs43LLbdcHg/ltaLF70mABEiABFwIlP9e45KrUsqUZdoO44qy91LCgeE7%2084YWk8zUFcw9TZ8+3RaXZU8Y07L3usSYCp7Lgzl7f0tcxKIoyCJxw+vjx4/HInTsC7XPPvtsuOGG%20xgoEsXCqZcnaFRomSjVtZztv/PzDH/6AkT9hggPXsf/7HXfcEZnLi5dCSxSRBGIxvwmC/DTn6nau%20yskkXkvJpHgmmmk7eNts3id52i5BsGXfBYvln7ZrmMGW03YaLHh6ndN2LStPjgkSXmln3nQXj5xs%20hyKRk/kKmu+66y7zLyInnOPijBkzzEUTJTS7bmuzBdNETs7UnH9DOAsaV+1RKGlXGJTCdg+bbLJJ%20MdN5ztAoSAIkQALlIeDcGzsLlifv7e1JWabtbMrx9U8///nPMbBkv30lXiqYaYoc8rQdDmwWZb4y%20griI7cXlsLU1vH7CCScgGT6RcptttsH24nK0d+X4+te/PmvWrI8//hhzeRtvvDEyiw02ZToPhz6Q%20Yu/Q3vWHuSOB/Aiw98iPLTWnIVDG4Gn33XePLHgaN26cbCAeOdh+4kwWvfGvdz/8JE3Zx2EuXPJh%20XBaQEUVNnToVUdTll1+OOVAMROEwgRTXRTnQpggJkEC1CPB247G82gCm5+DJjYgthRfP4Ym5VVdd%209aqrrkJRYVER1kINGDAAV37yk594KTw3J2HaWdCL2y2VzFz4yWFXzzntxgVHXzP3t3e9+MrbH7UU%20MQlueeL171/1P2NueO6oP835zZ2LGsqaReWIouxACk/nrb322h07dsQbnbHxQXqjTEkCJEACBRMo%20eTdeMA1jripY3Px0k0ouC8/Bk6+CxwNfWOGEmAmBFN52d/rpp+PdwL/+9a996S9STx7FFvf/1iff%20uPO5pct8sePpE4ve/e2di1Jm85Ynlkx65LX0ssiRCaSuvmv2Guv3hyHZ40CiqDSBVDFYUhJgMhIg%20gcoRYB/SsMiIpZiaXLrgSV5Ch0k6PO31zW9+E+c4ueWWW3CC+KkYKGWwkrUBXP9fr8Ptjz/9d/SE%20kxff/Nfd/5OKWFx20RsfppFF1HXb/GV2PW3ygROe3Gf8300UlTWQKgNw+kACJEACeRDI2plXbjQo%20D2jl11m64AnPu8mEHbZZOvjgg3GC9U94ly1O8C6U8gMN4iHWOX30yacR08t2WAbXW/rTTBbrn1rK%20/vmx1/4dsXXo8NWvrT781EmIoqbPfg27dm2++eb4SlZHZRqRammUCUiABEiABEggLIHSBU/AgQk7%20bChwyimnIJDCENThhx8+YsQIRFTJWxWE5RjW+mordow7gJ87q6zQ4HokZTPZVVdcLjlTiK4aRGzL%20dnjxzY/kMb1PPj+aBVLLLrvsFlts8Y9nF7ktb4dvDZe3hy0IWicBEig/AeehoPJnjR4WRqB0wZPs%20U4BXrWHLAFDAJ3YcOPLII7G9+BVXXFEYl2oZWmn5jt/ottKyZtXS595/8unS/l1XapkRke342V6V%20/++AbL8uKybLdl6pQXRlR2yyNCo5kPrP/1hn5RW+gn1HBwzcPP1i85v/+7VD/vD0T6+fd8TV/3Pu%209IWZlsa3BMIEJEACJEACJJBMoCzB05IlS/CcHQ5sQYl5OgRM8q8cDz74IIagbrzxxoDFWfIfKwdt%209fU1ET4ts8xyy3boiBk7DOBttkbPNb+ahhhku632WUoju9/ANXuttUKybLOoq2HEFgmk/vKPV80a%20KZnb+69HH0GYheEoGZFKCKRu/u/Xr33oFRMo/vfCd86944U02TRpOGSVCRcTk0BpCZS8Wy4tt4aO%20EWam8ipL8NS5c+ezzjoLK8R/9KMfIQOPPfYYzs2BcAoXI281cStpN6lMTO3EhZlbc+Xljtis46Hb%20rL1tn1X22nT1n+223m7fWD2l22t1+soZ3+7x/cFdILv3f66RXnbk1ms7RF1ggsVSZo2ULDZfvce/%20H9mTNVImkIrHUlMffRX5spfGY3n7jGfeSJNZDlmlocQ0JEAClSZQ2H1HKLmZc5MqT7n4DJ7cWBgp%20jDYhWsL2BKCDXZ3s4AnnWPn0s5/9rDzgcvXEjSRc2n6DVQ7Z+uu7b7J6yjEnOxeQRewF2ZZjTkYK%20UdfYvdZH1DVkg1URdf189x67b7JGSzJfWiyFd9t9vth8l9Mm/eG+xZ9++unLL79sLzaPx1I3nL7H%20vPu/9BpEDLSlWd6uH7KSrHHgqmURMwEJkICXX9HO94I25u/GxE0qAaPP4ElZWhhYuummmy655BKE%20SninL87tA6EVRqeUJijekIBzrRLBHf5jVURde2y6Rsqoq9liqdVW+oqskXrooYcQRckRj6XefHHO%20g1ee9qfR/c3frWMP6PDBmy0LVzNkJcojA1dvfOm9Pi3tMwEJkEBZCCg7vbJkg36EI1Ci4Ekg4B1q%20iJmwSYG8z05eaTdlypRwiGjZM4GVv7rcJt1Xji9RtxdLyRqpeCyFcGrfH/961a69sVLK/L323BMH%2077iRrJdqtmSq8bOB6YasvoicomutJs3O9hoc5yErZ0HPJUd1JFA+As5hUPmyQo+qRKB0wRPg3X77%207Xj5rrzPDgfeqoZY6thjj60SV/qaSODgbbpEFkvtv/laCQNXJpbCyYW/OPaoC27HSqmDL5898vLZ%20WC/Vp99/wprsKRWZ5sNzfAjH//CHPzQb7mq5I4PJR3zg6pV3l+a91oqLtNiSSIAESKCEBMoYPB16%206KHYTByLnCR4wrvtsAQK+2Ryq4ISViA3l7BY6sy9e47atisWS+0zYM1Rm3ZMs1hKbP1bdki3If+x%202j6brXX29wY+++RjCdN8eIHx97///U4rfOUaa6bvtrH7f/D2kpS7OcCoZuDKea2Vs6BboVCKBEiA%20BEggJYHSBU/YmACRE5aNY5ETNnnCgXfbYeQA+Qm7VUFKoEyWngAWS2GxORZLdfval7eZSqHCyMp4%20VbNpvmeeeQYxd79+/WRQysz0vb7gyT8fvy3CqT5rr5Q83ye+NBy4wvU0A1fOa62cBW1+nPJLUZuY%20hARIgASyEShd8CTuR15j989//jNbtnyndptWd5Py7XsLfc5OOgsWkEF7mg/DThh8MkNTdz295Dc3%20Ph6Z6YvP90lEJVN+cBibWsXXaeFFgi23IXUesnrl3WUavnInzXOFQlg55ceoq4CKShMBCTj3YG6C%20blLOfNzMuUk5O1lpwdIFTxhq6tmz5/z587FOHIufMBCFkQNZ8FSTd9u1d/UNlTsTTg3dcLXj9viG%20PdPX7LE+RFQy5SeB1Mm79Jh4+L8f8bv559/Gdgk7rr9sywcMnddafW35Bh0LcpFmrOvzyMl9K9Gw%20UReDtkrfUYI4H6pXKSaz7Z27YhjmYaV0wRMyee2112KRE9aJ77XXXrJtpiyBst9t51af3KTy4E6d%20wQnYo1MNH+tDUGVP+dmzfrJdwqhhfc2UX2SkyuSu4ZBVmrVWX11umZbPJCYwdJ7yU0ZdY+/72Pm1%20OcqgLXiNogMkUFsCbvdWN6mSQC5j8IS5Evziv+CCC/A+YARPJ510EpaNYwlUSZDRjTYmEImoIlN+%20Zu4vElSZB/3skSoTV2HI6tb/uxdGqszbb5IfLTR4sz6TaASd5wqhIUjUpRwqk4xrhqwwSer8guo2%20bg7MGgmQQDMC3oIntxAyLiUvBr7rrrtGjRo1ceJE7PmEDZ/gPTZ84tN2rMdBCEQiKvwrQRVWo5tw%20Sk6aBVWvvvAsRqomHtbv6sP6YZX6nv+5lj1khXf5/e///m88a5FnEn+xx/opn0l0nivUR12fLP13%20PvD+nPSvzdEEbZ8HXu4vihbZ3z36MV8yHaRx0SgJOBDwFW84mDYi3oInjROQLf+LgZUZpHj7EWgW%20VEUiqoSgyixUX3vttSMzgNihSjb87Lvqh/JMYsv1VYaw81xhkKhLBo2cV8fr5hndV4a1X31mjkiA%20BNITKEvw5PBi4PSZZEoSKJJA+qAKcRXGnBAhwT0z92ef4B3J8bgqzaiV25Rf8VGXlItz0KYcsnKe%20oyyyOtEWCZBACQmUJXgCGr4YuIT1o5lLZRg1rRAucTUeVOHKWmutNWvWrPhgFeYEk+OqhFErRFdr%20r7L8WSN6zxw3Ytm5t2Eb0vRTfgVHXULGOWjTDFlpZCtX99reYfZIbV/EZctgiYInvhhYUznYd2jo%20BZfNFFeZSKtldPXcnKf/8Kvjvz1gLXsvUJkQNO8BjCy3cl5o5RZ1GfJu4pohK42scdt5lbqzIEw7%20yzoLBm8gZXOA/W3ZSqR4f0oUPEnm5cXAski8hodbm6whqPpkuWFcJRebjVq1fCrQfg9gw2nBHTfq%20fNiQbhJ1NVvPHikCibp226CjvHIn/ViX6HEL2pyHrDTDXeKw8yp1Z8FQRvWRYn1aa0455X0hJ7Aa%20taULnjSZyUnWreK6SeWUBaptYwIJ0VXDrRbMQ4ItB66SZwYb7nE1YO0OWZe320UTeetOmlJzG7IS%20zUa2Y4dlOi772TuCUu4i4bxK3Vnw88jJcXm7s6Dhrwn4oMR5xMtZUGM0Ta2rRBq3e5CbVCWA+HWS%20wZNfntRGAqUj0Cy6ajlw1XI9u722Xfa4sucEI9FVwlyhBpnbkJVYNLKbrr1sptEy55XmzoLwtqHs%20oy992pKexqgmaPtc1nEXCWdBGL3lidcPvfKZU6fNP/KPz/7mzkWvvP1RS0RMQAJZCTB4ykqM6Umg%20rQgkDFylmRlMP0XYcq4wHmyZdwu2JO4wZGV0QnbXPsum3wzCeaW5s6CMozTczQHbeyYfGqOi2Tn2%20ch7xchaEtzMXfnrdw68u88V+Y/+98J3fTF/Ysv7YCTTDXZkMMXGlCZQ0eMJb7bBVZuSYMmVKGtbY%20TnOFFVbAZpsmsVzB8dXPj8mTJ3/WxmbOlH9x2GqbXTdp7r///uW/ONL4wzQkUHUCyQGWfNts49DI%20g4Qp5wol0ors2J48rJVybZa+LJxXmjsLwudmsiv/nxYZ0hhNCNrSvKDaOepyFoTD9zz/WdyEPVqF%20S6bNWjFk9f2r/mfMDc8d9ac5DkNWi974V533qa/bfF8Zg6fBgwfjrXanxY6rr75a2kNCISHAmj59%20eqQ7mTdvXuQKQquhQ4eai3379pXzZtdNykiCjTbaSN8XUwMJtA2BlmFWmrlCh9EsRFot98TSjGzZ%20BeS8St1ZENabyfZc9bOlWgmHxmhC0NbyBdXOI17OghLqmbDJMMFiNoQ1LZvYLU8ssYesnlj07m/v%20XNRSShIg6ho18VlEXUdfM/e3d72YdaJQGXUpxVPmMadk1Q25Shc8YeDnscceQznhTcBnfPk46KCD%20kssPI1UjR46Mp5k/f37Pnj0/+OLYb7/9rr/+eiQbO3Ysrg0bNgwJYBdXml03OiXBmWee+eGHH4og%20BqJyqlVtpra6jaTNCqIM2WkZY9mjWSaWir8PJ/2uDQ33IDUjW2mWatlrtnbZoGO31T4bsS7sfYWw%201XBpfLevtQiemgmm3LDeOfZyHvFyFkSdaSa7ygodW1b7Pz/2GtJEhqzu/p83Wwoi6pr0yGtmojBT%201HXrk0sOu3rOaTcu+MG1866b/cmr73zc0pydAOKH/3Hu6Tc9/8Pr5p83Y3FW8Uy2mDhCoHTBU5cu%20XeAi3geMPTOP//Kx7777JpQfxpzGjBmDgAZxkp1M5u+g0L54zz334N+tttoKn9tvvz0+H3jgAXw2%20u25k7777bpwPGjQInzvssAM+H3zwwbrVKoZBdSvxsPlNE2llGtByG9my12z179Ude5DiNYXN3ldo%20j3JJZCbrt7wsb8+6GYTGqHPs5Rx1OQvCVcj2Xq0Dnp20j08+Xdq/60rN6rD0Zprhruv/6/VI1PXi%20m/9KE3Xd+uQbdtQ1b8nS8+56MX1bg/jkR183QduTL76XSTy9IaZsSKB0wRO2ysR405133ilDQZkO%20jCRhj6iIyEsvvYQrEyZMsBc8yUSeBGrrrLMOPp9//nl8NrtudEqCrl27RgQz+cnEJEACeRBIE2bZ%20acxWDgljWpo1W/GnESWosrfRavZMon3dXjjvvDTeWdA59nLeRcJZEJXqW32ig4L7DVyz5TCb83AX%20pswaLuRPM1EYibrwUm1EXfc8+1bKpjHtH0viQVt68ZRWmKwZgdIFT0888QSGf1ZddVWMFa345QPr%20vhMKEuNSGKiKJ3jxxS/F8pjXs9eS17lmcACpzqXPvBsCmUIuhyEuicx+//vf9+/fv+HsYcuLkYXz%208WGtlhHY5ptvHtlKPmsFcIi9nKMuZ0FkCrOpZ3y7BzYbw/jc3v+5xs9377H7Jmu0zCyGrL7RbaX4%20kFW/Lis2k5X+c7UVG0wI4quWE4XNoq40K/FhVxO0mRxVerFUyzLNO0EHtNtMNqTGvPPOOxEphztx%20QxEMOEWm2IwhXJeBpWRb/fr1w1Kkp556CoNYSIyFUJjOu+uuu7bZZptjjjkGQ1CjR4/GyBbSPP30%2000iDh+8QUeHi+eefj5Xj8esXXHCB8QErxJEAvaEIYhnWEUccAcE4w2ZOMnTLVN+YmATaiUDW/lby%20jqWWmPKbM2eOEoVDL20s9u7d+9BDD91nn32UPpRW/I0Plpk8+5P/fXcpQijcFPG43o7rL7vNOq3H%20F6554pP5b3z66TJfmiwctWnH5OVoH3y8zLiZ0RVOWNu+3XrLbrtua6NK8ZkLP7n7+aWffL5H2Aar%20dxjeq+PnS/jKeMjUUMPDoTXFRVZeeWUod1BVuuApTellCp6MQkghMsNDdlgXhdm3gMGTRHUND7fe%20TaSQqV69eqUBKGky2Zo7dy56TwdBm38z35599tkNNtggvefpU+anGT5UVHlF3c4VeCWYNOzf03j+%202muv7bbbbg899FD6huO3g7K14cftj3/8YzxS3adPn0xdUBrngQghJnqqTJptsJj2eu7V99dY+St9%20u6wYn+xDN4g+1igXQTxbd/5dLy5840M8PYD/scRq383W2O0bq7e85Z87/cXZi9/FbJ19/H+7rttz%20zQaBTLz0f3Pn4rj46busY4uL1IIFC3r06GGs3Db7zcmPvgZvZXU8Tr7+ta/8co91TYJMkQRWvKy3%203noim0kwjbmFCxeWNnhqHeGmqbKZamoahRiewevtME+HA8NCKXd4aqg5vu0TkkmQIcuhUDz4lOJv%20dt1olgSLFy+OCKbJFNOQAAmQgDOBTNOLduI111xz1qxZkcVbLf+NrAPTTDtG1n6NGjUKi+g7duzY%20crYxTQL9jKRdIttvsMqh26y9+yart1wmZaQwyYiJQkht22eVvTZd/We7rZcQOdm2Dtrq611XXV7C%20F3k70IgBqzeMnBrWme8NWstNvM6LpTzGKn6CJ+fuoKEgdsjEFNu4ceMwuYZj6tSpBx988LHHHutm%20RYZ5fvvb3+Lzuuuuwycer0vzhJ395J0xbT9hZz955+YbpUiABEigGALOsZcIYs4OC1JbhlwtE/gK%20wkxA9sgjj5iXWyMgQ1i23HLL4ST9gfSRY8stt8y6RAxR1yFbfx1RV/roZ82Vl/vlnush6hrc+2uI%20ujDTt+vGndNXBoj/3z3WhVGIf3uTzhhzSiPuZbFUeifbOGVZgicMNS1Z8tmzAzjQSt98803s8yTB%2007Rp07B+/LLLLrviiiscSuK4446DlDxth0+cn3DCCXvvvTdOsBYKF7GpJnY32HrrrXGl2fXx48dj%20U3F8SoJTTz0V/4og4jwHryhCAiRAApUjoIzATBCGYa1PPvmkZaTVMsErr7yCneWBseWi+0wJEJDh%20kep4UIXI7Ctf+Yq5jvNMxyabbHLllVdGCn27Pl9DALTbNzqn2bIrXmEgfvBWa0E8ZdDWbIV7y11P%20K1dX83a4LMETZtAwv4b4CcuSEDkNGDAA+zwhoMExfPhwLJYEiBtvvNEBB0aesFrcCGKROM5xccaM%20GeYiVpfLebPrJmUkgWjzdXgcUfTlEvWQAAmQgHcC+iBMNERmJBGQISz7+OOPcZL+QHr7ePnll/MI%20yBC9zZ49+7DDDvs/TQ5EZvhN3uxb806whJNNN900HpxFyg7PFW7cdcX4c4V9117Beym3t8KyBE/Y%20cgkxk4wS4cC5zf2f//xn+mJABX3//fftRdmIwHBFNhg313HR7DluK294HYNV2FIcn0iJoSacy5He%20K6YkARIgARLIg4CvUMwEZNgzORJRyb+IzD766CPzFc4zHZdffjnWy2caA8uUGKMAeGzcjq5kd0OE%20ZeZFrjj56W49Jx7e/0+j/98ftnvtu86qJo28CjbhwE0w67RmHuUeVmdZgifENNjL5Mgjj0Tsgrkw%20PAqHdeJY/ISBKMzWyYKnlq9nCYuS1kmABEiABNqDgN+ATLQdcsghjz/++L+aHIjM8IO82be4bn60%20NzvB4paUwRmmOe2/TCEaEj/66KN4xEqiK0RmJsyKbM3Y8F8kBoc2qCRlCZ4EpSw8uvbaa7HICevE%208Xpg7O30ox/9SJZAJb+epVSFwQm4UhUHnSEBEiCBkhDIIywTnXiy6r/+678ioRUmWBCWmWmWNCeY%20qEk48Hw6nnAEzKwhl6QvSSno3ShX8CT5wbsIMAqFrSlHjBiB4Omkk07CsnEsgdLnlhpIgARIgARI%20oI0J5BecieZHX1mu71FXHTjhSfyNu/W5B/7xjIm03kt3tFyYVYnSKWPwBHCdO3fGXiATJ07EluLY%208ElGpHiQAAmQAAmQAAmEIoANNqc8tuSzLdixM3OHDrMXvz/5qU+zhmuhnPdrtyzBE3YQwdN2iJPk%20pOGBb/1mntpIgARIgARIgARSErjh8TeQUrYml5NX3l36tzkZnuhKaaj8ycoSPL399tuYm3vsscfk%20pOGBb8sPlB6SAAmQAAmQQPsR4AabdpmWJXjCin0ETGPHjpWThge+Lb46cul38cxpkQRIgARIIBSB%20Zne9hhtswslVVugYytWAdssSPGGRExY2Yam4nGDbJwxBySaZOMdelAiq8G1AUjRNAiRAAiRAArUl%200HCDTczg9euyYg2ZlCV4stHjNcDYrOKiiy6Si9h8HLsVDBkyxLy/pYblxCyTAAmQAAmQQFgCB265%20ZuRtxDuuv+z6a3z2euO6HaULnhAhYbMKFMOee+4phYExJ2xYgG0zzz///LoVD/NLAiRAAiRAAiUh%20gLcR/3y37nib3ja9Ou35jdVO+1b3bdYpXRRRDKvSZRvbeSHniJawVYEgwETeKaecghMuGC+mTtAK%20CZAACZAACTQjMKR3p5GD1tx149XqOeYkWEoXPHXq1Alu4aXW9iTdHXfcgYvYdrz42txOO6IWT48W%20SYAESIAEqkWAd7005VW64AmrwjHshPexdO/eXXZ76t+//7hx45AZvPkuTZaYhgRIgARIgARIgATy%20I1C64AlZxd7teJMdTmTDAqx2GjBgwLRp07jPeH71gJpJgARIgARIgARSEihj8IRFTniTHV6SM2vW%20LARPixYtuvrqqzGd99xzz6XMFZORAAmQAAmQAAmQQE4EShc8zZw5c8UVV8RsHTKMKTyMNiGWwm4F%20mMv72c9+lhMFqiUBEiABEiABEiCBlATKEjxhefjIkSMRM5100klwHQvG7dfbjR49GhexECplroIn%2044K74EVAB0iABEig5gR4J8qvApQleMLw0nbbbSevt5M4yX5DC5Y94eIPfvCD/EBQMwmQAAmQAAmQ%20AAmkIVCW4Am+YmMnBEwXXHABzrFCPPJ6u9mzZw8fPjxNlpiGBEiABEiABEiABPIjUKLgCZnECqe9%209toLYdMll1wiL7Yzx/rrr9/2C8Y5xJpfRadmEiABEqguAd4dylZ25QqeQAfzd3gl8JgxY+w1T4MH%20D8Yq8mOPPbZs+OgPCZAACZAACZBA3QiULnjCyvFDDz00MmeHhVDYXnz77bevW/EwvyRAAiRAAiRA%20AmUj4Cd48jiiiHfbYbV4z549scgJsHCCfZ5GjBiBi/369SsbPvpDAiRAAiRAAiRQCQIeYxU/wZN3%20ahhnwiIn7O0kz9nJi1kuuugi74aokARIgARIgARIgAQyEQgZPDWMATfccENETpinw7ZPe+65JzJz%203HHHyeZPQV4MnIlmqMQeo+lQWaBdEiABEmh7AuyrfRVxcJIhg6eGELFg/Pbbb8dsHebp8OQdAqap%20U6fK5k98MbCvaid6glc+v9mhNhIgARIojAD7z8JQl9NQ6YInYMJbWZ588km8HhiBFE6uuuoqbP6E%20JVB8MXA56xC9IgESIAESIIFaEShj8IQCwDN3d91117nnnosQauHChVtssQWWQNWqYMqcWf7kKnPp%200DcSIIH0BNibpWfFlDaBMgZPU6ZM6d+//8EHH3zaF8eWW26JbZ8QUaUpPKRcYYUV7B018bJhXPnq%2054fRgItyxb6Ib5tdN4L333//8l8cafxhGiHAToo1gQRIID8C7GHyY0vNcQKlC54Q9CBswoInPGp3%20xucHVotj5RN2fsIoVMvbMAKv6dOn2/mEwh133NFc6du3L85xcejQoZGLCddNyojgRhttxFpFAiRA%20AiRAAiTgQKC6IW/pgqeXXnoJBYAF4zfddNPxnx8///nP//CHP+DiPffck1w2mObDM3qRNNOmTcOV%20sWPHvv/++8OGDcPeBxhbuv766+XiBx98YC7iSrPrRqckOPPMMz/88EMRxECUQ42hCAmQAAmQAAm0%20DYHqhkFuRVC64Em2KohkBvtk4kryDuMYc8JLXRDQIPCyxSXkGjRokNHwwAMPyMWtttrKvmjis/h1%20o/Duu+822nbYYQecP/jgg27oKUUCJEACJEACJFBFAqULnt566y3ZGxNLlzCShAOvtPvRj34kEZVc%20QZzUkDVGkjBeFflq3rx5uNKlSxd8rrPOOvh8/vnnG17EV82uG52SoGvXrra2KhY8fSYBEiABEiAB%20EnAj0CHrUFuHDh1g6Z133onYk+tZj7gU5tQQPCXrQYK//OUvzdLgLS6IvZ566il5QM/+F1EX5vVG%20jx6NFVRI8/TTTyPN5MmT5eL555+PFVENrxs/scgJCfAOGRE86KCDjjjiCAg2dKYhE3sle1ZcTE8C%20JEACJEAC9SEgQx7xI2voIhriUiuvvHLD6y0Jly54Qmwhq5QSDtDcb7/9qhs8JW+74ByGYlSsV69e%20LYvcTpDe1ty5c3v37m1k0wumMffss89usMEGmTxPmTg/zXCgosor6nauwMkk3qDyZtKnTx+3bqRZ%2025f74pw5c9BTpdec6R6MbhB9rCjPJGh8TpDCz3LcGhp6rrS1YMGCHj16pOwzs9rCTM56662XBxDo%20xEZFpQ2eSjdth9oj68QTjn333TdlPahPsqw1vlkYXh9izCkJkAAJuBFgf+vGrZ2kyhI8PfHEE1jk%20hAfr5KThgW8d0MtgjDzEhzAWnwiTG17EV82uG7uSYPHixbY2B6+qLsK+o+olSP9JoJ0IsEdqp9Ks%20RF7KEjy9/fbbWIeEd9jJScND3nCX9ZBn9OSZOPOQnVzEY3f2RZw3u26M2k/Y2U/eZfWK6UmABEiA%20BEiABCpKoCzBE3YoQMCEx+XkpOGBbx0o4+3CkMIuBthkHPtnYiMDvCNv7733lovYXtxcxJVm18eP%20H49NxfEpCU499VT8K4LbbLONg1cUIQESIAESIAESqCgBb8GTctQU7wBGTINXAssJdhbAEBRO5ByP%20xSGowrcOlLGICq/JM4J4Cg/nuDhjxozIxYTrJmVEEI45uEQREiABEiABEiABNwLKeMPNaETKW/Dk%20xRtRgg0FsL/ARRddJP9iuRL2eRoyZEjKd9vNnj0bm4nbT7QhAsMVHNhP3PiJi/hXDtv5htdPOOEE%20bCmOT6TEUBPO5fCYa6oiARIgARIgARKoBIHSBU+IkPBuO7Dbc889hSDGnGTbTHs7pTIEnpUoYDpJ%20AiRAAiRAArkSqOEduXTBE/afRBkjWho1apQUNibyTjnlFJy4LRjPtcbkodytFubhSR462zt3eRCj%20ThIggWQC7d2rtHfuqlu3Sxc8derUCTQfeeQRe5LujjvuwMX4O+8K4+5Wfd2kCsuUGHJ20lmw4AzS%20HAmQAAnECTj3YG6CblLOBedmzk3K2clKC5YueMKqcAw7vfnmm927d5fdnvr37z9u3DhQPvLIIyvN%20ms6TAAmQAAmQAAm0AYHSBU9geuWVVx5++OE4kQ0LsNppwIABeGcLlnK3AXFmgQRIgARIgARIoNIE%20yhg8YZHTeeed9957782aNQvB06JFi+67777hw4dXGjSdJwESIAESIAESaA8CZQyeQHbmzJnHHnss%20NrGcNGnSiy++eO6556bcp6A9SqW9c8Fp9fYuX+aOBIokwP6kSNq0ZQiUMXjCO+yw7Omyyy7DsNNz%20zz2H3TJPO+00rHzCOUsuDwLOvY+zYB65oE4SIAESSEnAue9yFkzpGJNVhYDP4MmtVkWkECFheTge%20rLvqqqsEIvZ5whIoLCH/7W9/WxWsSj/dSMKos6DSYYqTAAmQAAk0I+DcMzsLtnFZuDFxk0rA6DN4%208lJa2E8cegYOHNitWzdRiCVQ+++/P04iI09uLNyknLNWsDlnPylIAiRAAiTQHgQKvu9kMrfojX+9%20969P2+CnfumCJ7zJDlixzxNm66QeI2Y666yzcGK/caX4Kp6pfhTvXrUsEma1yovekkA5CbAn8Vgu%20ecO8/ak3j7z2uZ/fvOiYyQsu/Nv/vvrOxx6dL15V6YInREgnnXQSJun22msv4MCyJ7znDp+YyDvu%20uOOKB0SLJEACJEACJEACGgK3P/XWlMeWLLP03zqefPG9C+95WaMwuGzpgicQwYJx7Oo0YsQI2VIc%20mzxhzdP9998fduQpeFGV04G8f6yUM9f0igRIoLoE2GsVX3Y3PP4GjH786b+jJ5wsfuujv8/99/xS%208f7oLZYueMKWBNhVHHs7TZw4cfHixdjtCZs8YdsnRk76wk7QwN4kV7xUTgIkQAK1JYB1Th998tk6%20J/tYtsMyuF5dJqULnvBiYEzS3XjjjdVl6sVz52jGWdCL21RCAiRAAiRgE3Duk50Fy8a/80rLxV3q%200KHDKit0LJur6f0pXfCEjQmwyRPiJ2yMia0y7eOJJ55In7HypGybBuAXKbH45UltJFA3AuxDGpZ4%20CbGs+H+W3bjrih07fMnfTz5d2nftFapbaT0HT27FZkvJyBOAYmNMRFH2gQ3HvYB2cxKmnQW9uF1a%20JcRS2qKhYyRAAhEC7K+ChFzf3WKNrqsuD9PLLduhI2bslllm701XW3+Nz65kOtyKz00q2THPwVMm%20Cg0Td+rUKRIzmX+xcpzNQE+4mYY8qld+3lIzCZAACRRJgD2khvaaKy/3s127jRy05ja9Ou35jdVO%20Hd71W/1W1SgMLlu64GnjjTe+qcmBp/CC86IDHgmwM/IIk6pIoFYE2HtUsbiH9O500JZr7NJ/VYcx%20p7Llt1zBE9Y54VE7HHgrcEVXOHksYOfewVnQo/NURQIkQAIk4NwbOwuSeTEEShQ8IWbCOicseMKB%20twIPHz6cbwIuphLorbCd6xlSAwmQQN4E2FPlTbg++ssSPCFOknXiF1xwAU6wvAmbjJt3A1e9PNhi%20q16C9J8ESIAEyk+A95rCyqgswZO8Dxgx06hRo7beeuvTTz8d/z722GM5gXCuYc6COWXEr9ric1e8%20Rb/EqI0ESKB4AsX3G8VbLJKqc+6cBYvMXU62/AdPbjRFqnPnzpJPPHOXMsNu5lIqr24yYqlu2dFz%20EiCB9iDAfrhhOTpjcRN0k2pZA/0HTy1NMkF6AjmVenoH0qeskKvpM8WUJEACbUOgQn1UhVxtm+qR%20NSPlCp6w2mnFzw/s7YScmH/lIlaUZ80e02clUHyjLd5iViZMTwIkUB4CxfcYxVssD2160oxAuYKn%20Ni4nNr82LlxmjQRIgASCE+BdpsgiKEvwhEXi77U6sHemAxo8x7fClw9Rgnp2zDHHfPXzAydGc8OL%20tl0RXP7zwxZ08C1XkeIbUvEWcwVI5SRAAm1DoPjeqXiLboXl7KezoJufZZMqS/CUHxd5ji9+YEPO%20CRMmyHWcjB8/Hif4jF+MyCLNpZdeKhdxIoL5HTWvoPmBpWYSIIHKEahDf1iHPFau4sUdLlHw5Fxj%20kgVffPFFZHvs2LHvf3EIhSuuuAKfT39+mH8bXoxQkzR4gTEOnFx++eVtUA/sLDgXRJtxYHZIgARI%20gP2h3zrgzNNZ0K//RlsuwVOpMrlw4ULkdtCgQTZBzOXNnz+/Z8+e639+4AT//v3vf49fjOxy3lAw%205U7opcKSU32qQx5zQke1JEACORGoQ79Uhzw6VI/8sOQSPDnkMD+R559/Hsp33HFHWfgkhmQur1ev%20XvKvnMgQVORiZNavoeDixYvz81+jOb96o/GqoWyFXPWedyokARJIQ6BCvUSFXE1DnmniBNo/eIoM%20C1Vxv4Pi22HxFtk4SYAESKBsBIrvCQu26GzOWbBsRezsT4esCDp06ABj77zzTrJJSZb1cJOClQTB%20fv36IcHs2bPxKSNPd911Fz4xFjVs2LC//OUvON99992nT59+3nnnHXvssZGLM2bMwJOAJiMzZ84c%20OnQo0vz1r3/Fxd122w2CSLPNNtukySz8TDnHl0Yb05AACZAACZBAGxNYZ511JHdZY5WUUiuvvLKb%208nIFT8lhkD5cQ2yEh+kmTpzYrVu3IMETsrBgwQKssspa19OElbJgK6I5jWBDZyKCc+fO7d27d0q3%20sxqdM2dOnz59NKXfzLFnn312gw02SOl21mQVVV5Rt1E6+Xmen+Zc3c5Ved5M0OQzdRQp753oTNBT%202ZpTCjZs/hHZefPmoY9N47aDUXTgDreGNCECbjo9evRIk8H0faDJ4AsvvLDuuuumFMyKBUuWJXjK%20Kmj8aSnoHDzlNW3X0uOUrJXJZJOn+FRdly5doBktQfTLyUYbbRS/KCnN0VCwa9euSj/zEy9JQeSX%20QWomARIggVIRYK9bkuLItSDyCp5Kwk4CecysYboNJ7KH08CBA80TdoiuzAN0Q4YMkcfu7IuRnwJG%20UJKZp/Pyzm+ulcDvL5JcfyXkzZn6SYAESkjAuQN0FtT0Y84ANd46GC3YnIOHZRZp8+AJ6LHDEz7l%20aTucjB49WuKhUaNG4ROjTTLgJP82vIjrffv2xUbkslzJpNlwww3x72GHHVbmAqZvJEACJEACJOCR%20AKMuwGyf4KlZcR5//PEImKTeYKE3VoXLuX0dCU444QRcxKdJbC5G6pyd5ogjjhDBMh+s6GUuHfpG%20AiTQTgSK72+Lt+hWXlXxM2XuShc85cEXAZPsLh55O55c/+CDD84//3zDC+e4Ern41FNP4YqZwpM0%20H374oS2YkniFkmnKwlnWWbBCYOkqCZBAegLOfYKzIHzTyKbPGlOmIVDOssgxeCpnhtMUVco0BWew%20YHMpITAZCZAACZBA5Qi0/Q0l7wzmGDxVpTLljbgMHKqVx2p5W4bypQ8k0K4EqtUbVMtbtzpThzym%20IcPgKQ0lz2kqVPk0rmpkPROnOhIggZoR0PQ/GtmCMVfI1YLJ5G2urYKntq9GbZ9BU93rk9O8Wzj1%20k0B1CdSnH2j7nLZfBssYPFWIch1c1eRRI1vdHp+ekwAJhCWg6XmcZZ0Fi2dFV/XM8w2eqlJCxftZ%20vEV9XaEGEiABEiCB8hAo/j5SvEU32gX4mW/w5JZtSiUQKKBOlIR/fXJaEuB0gwRKRaA+PUB9clqq%20CqZ0pt2CJ9bCPAIvDVWNrLJyU5wESKCGBDR9jrOss2AdCqgt4ZQ0eKoQ6wq5WrlWSraVKzI6TAJe%20CLDte8HYUAnZemFb0uDJS94yKSm+PhVvMRMQj4nrk1OP0KiKBEiABPKYSXCmyp7cRpd78ETczjW1%20maAGqUbWe0bSKKycw2kyxTQkQAKlCgvEGefexllQY5RVKI9bZHqquQdP6V3xlVJTj918KN6im58B%20pYgoIHyaJoGaEGA/07Kgi0dUvMWWELwkKG/w1K7E7WJzzqOzoKbSBDHKX2aaIqMsCVSOQK36GefM%20OgtWqD6UPI/lDZ6KL+OSF5UvIDXJpi9c1EMCJEACCQRq0qPWJJvpq3oRwVMdoNchj+lrVcOUGkQa%20WaXbFCcBEiiMgKala2QLy2BYQ3VAVFgeiwieiq8uheHTZ83ZVWdBzUSYxqieFTWQAAmQQB4EnHs2%20Z8Ga9MMaPnkUtEedpQ6eiudevEWPZVl+VRq8Gtnyk6GHJEACmjaukSX5lgSKx1u8xZYQIglKHTxl%20zQzTF0Cg/HW6AAg0QQIk0DYE2Ke1TVEWmZGCgqfia2eFLDq76iyoGTFW1s4q+qzMMsVJgARaEqhi%20zxDEZ2ejzoIty65Zgva2WFDw5EyfgiUkUHyTMBACmi5hQdAlEmgPAgHbdUDT7VF2tc1F2YOn4mt2%208RZDVb5QOQ1lNxRn2iUBEsiPQKj+JJTd/EjWcwDJmWfZgyfnjAURdG5OxQsq+Tg7rLQbcMJR7zk1%20kAAJxAnUsDNxznLxgqyxzQgUFzw5l7pz4RVv0dnVugmyaOpW4swvCeRBgD1JHlS96Cy+aAq2WFzw%205KU8ilFScBkoM6XxViOrdFsjXlG3NVmmLAm0JYGKtmWN2xrZ4utAtbwtkk8FgqdqFZ6zt86CRVYX%2025bSYaV4qFzTLgmQQEkIKPsQpXjxECrnsBuiqmSzAsGTWwGIVFWKQZNHpWxFEVXUbWVhUZwE2olA%20RVtxRd0usubUAVGhwVOFgAZx1dmos6CyOSnthhVX5p3iJEACGgJhm7/SunPGne06Czq7Wq3Rh+L5%20FBo8OZdi8VycXa1WhQs+PletktXUCsqSAAn4IhCw3who2o1etRyukLeOwVOFcpjV1SlTpqzw+dG3%20b9+GlXXy5Mlf/fxolsCtiiulsmZTac6Ih7IbPOzzBZB6SIAECiYQqtcKZbcmeB2yqSkRx+DJwctK%203O1mzpw5cuRIcXX+/Pm77757JKctEyizqSlL50IJO1qmzLJSXAONsiRAAg4ElG1WKe7gcHAR5yw7%20C4a9KWQFrslmVlsmfdHBk7OjxdCZNGkSPJw4ceL777/fs2fP6dOnP/fcc7bP1113nST44IMPGiZw%20zmB1BYspmuryoeckQALlIcD+qjxlEfGkWkXjHjxVK58pq8udd96JlAMHDsTnN7/5TXw+/PDDtqwk%202HzzzZslSGmIyTwSaMuq6JEPVZFAeQgoW6tSPCCH6noeEFquppUl4h485Zorv8rTM8JUHUyvv/76%20+FxvvfXwuXDhQtuZlglM4vRGSxJ9OzsM/zWyXso6uANeckElJNDeBIK3U40DGllNsTrbdRbUdOka%20oxpKxcsGCJ7qA7f44qwu2+p6Xnwp0yIJ1JNAdXuJ6npe/poWim2HrIY7dOgAmm+//TY+5dzhKK0g%20HrJDdrDgCZ/nnnvumDFjxo4de8IJJ5g84iE7nGPBEz7Hjx8fT2DTaJjNl19+WcR5kAAJkAAJkAAJ%20NCOw/PLLr7nmmsl8ssYwRpsIdurUCZ8OSlTBk3P8VHzwlNJVv8FTSqMNa4YzIo1RpWxwcb0D7MVI%20gATyIOBwc4q4odQQUFxj2lnWWdAtkpDCqpBR46pz8BRg2k6JOI+GbXTiATqcyxN2zz//PD7XWWcd%2022LLBL7c09RCjQ+h7OrbnibXlCUBEigzgXr2S2FzXeb6YHwLiChM8ORcKhpSaWTlCbtHHnkEn+bJ%20O1vQfgTPfvKuWY7SGHWmUSqjJYl+ggD3XoJUSALtRCB4qwzoQBDTGqPOss6CZR5PSWiG2uBJw6uE%20vcP+++8Pr7BPJubv8GDdsGHD5Mm7Y445BqudsLf4AQccIAnwr52ghHlxdilsmeqt6zU4o6MgCZBA%20hIC+Peo1aAolrHWN55TNdXxBGzw5F085a+TWW2+NDTAlU5ihu+mmmyIZjCT4y1/+4kygpaAGkUa2%20pWPJCfSmy6BBCYHiJEACXkYUKt0baJzXyNak7oVFpF0wjkJyXtpcvGAQbytnVBqec+koZfXWfWmo%20SQfEbJJAfgT0t7ewGpTWNeLOss6CmmC3WkZtbyu2YDy/ttpmmjU1MiAKvdtl0BAQIE2TQBsQKEMr%201vsQpCAq6nYQVqGMepi2cy5mZ8FQsJztBsmp0mhYcc1vIFNMyiw4FzcFSYAE9K0vuAalA0pxtyoU%20xKibq0op55w6C0Yc9hA8KRE4iGsy7yzrLOiQQVsklF0v4Ysy73rxgPT0zlMDCVSUQBu0u4BZCGXa%202a6zYKXvMpUMnqrYoWiql3N+gxj1OPAT1n9n7BQkARJQEtC3fb0GTRaCWA9iVEOp0rJ+gifnMite%20UFNazt5qjIaNzUNlmRGYss5QnARCEdB3GnoNyrwHdCCU6SB2nY0WLxivUX6CJ2VNLVjcmXvBfnox%20FzazXqzrleg1eCkLKiGBtiegb2t6DWF/cAa3XnAd81JeBfvsxVwdgycv4ByUaCqZRtbBVVtEaVop%20rnTe4wiWL0+ohwTalUB7NPaAudCY1si2a4XMNV/egifnkiteUPPLwNnbXEsxWXkVfY7kyEsWvCgJ%20WI40TQJlJuClfXlREpZSFbPg7LOzYJC7sMbbeKXyFjyFra+VsD5z5szlvzj8Oow3Gf+fLx9ego/7%2077//K1/5yg9/+EO7zu2yyy7LfX78+te/TpmLhlX2Bz/4QceOHe+77z6jRK6YI6I/Zb2HkmW/OGz3%20xo0bh8vY+XPnnXdO6XY8GcTlOProo8231113nbnurB/uiZLevXvbdsHHKHd2GzpFCawYJXi5kO22%20Zk9U6BQT0Gn0G+V2ETtkQfy0saAEbc/BP6vahLyjZONFnEm/KcqInmbXMym3PbcFTSWM1J9Myo2H%20dvW2a2C8fqbR/61vfcs0STnBFRFEdsxXOE/Zxu06bPcYcm7qg3RT5rArZ4LbER/+4z/+A32gdIO2%201K677irXzznnHPt6+iygdzV9Ns6NErwKzNwmcDJ+/Pg0kCN2d999d7xADEdEHP/KdSRIozaeBvca%20vLtMDpybBFOmTFnROvbYY49M+n/zm9+stNJKUGJL4YocuHWa6/h35c+PBx54IJMJ74kZPGVGmr55%202KpRz4YOHWqubLTRRlkNJ9hdvHhxVm1p0n//+983ycQ6epA77rhDLv70pz+dNGlSGj1IE3EePfLv%20fve7iGzK3i3BInr/Sy65xCTo06ePnKM/PeWUU+T89ttvt+8NKf1HMvu2BCsmEHnhhRfSK2mYEjRO%20Pvlk+WrevHkmvAOQbbfd1oi43ReRWegUJbBibi0e6wx0GhNiyHYVWdCUbOTmBOVz585VAm+Wd7v+%202EWcydyCBQsapm92Pb1yYOzVq1e8PqD+fOc734nXn/SakRJ5N5XQzvuiRYvS6HHrFe164la9m/nm%20VuUiuUCEZPRceumlpio6d4PGW9wOdthhB/MvznFFrLt5bnNAYDR9+nS5MmbMGBM/4d2s+FeuIwGi%20NDlPX3Zwsm/fvsYWzk38tHDhwjT1pGEaKDnttNMiX2288cbmCl4yK4YaXnS2qxT0GTylL4OI08UL%20ZqoxSsQifv311+Nz7NixH3zwAaoCWoj9a0Np4sUXX4SGM888819fHHGFWSHjR1W8GUvE8/HHH//t%20b3/DyVVXXeXgOUKu7bbbLi4oN+BPvjh+8pOfZK0nl112GUT+/ve/f/rpp7jNQKEMe4ifch0ndoCV%200n/ogTboBMZ7770XUhMmTBBZuSniIr7Ccdttt6XUaZJdc801OL/22mshDhMI74T81KlT8Xn22Wfj%20+vDhw012MumXzBq3r7zyShGXm6IolyOTWjuxuXPLRWEFh6ET+k1GHPRDVbywTEGI2/Ku7kxHs7xL%20mUK/VEVTxJmUS9lBg7h38cUXi3iz6+mVS30w9QQmRGez+pNes8msqSczZswQcfltIEZxNIxckyvP%20rbfeinYnB2oFtF100UX4lDj+qKOOwnV84jz9jzHxDa8fNd3FnDlzcGWnnXaSl7u/9NJL+DzyyCPR%20WcmBxJmAILH8UPzoo4/uuecenNx9992iAYGUfd28DjV9I3r44Yeh4YgjjkCHjU+cyxUcUvc+/OI4%204YQTWrpt20WQgcAImcWN5umnn4bsFVdcIRquvvpqfKJk8RVOHKr3tGnTIIi72Pvvv49PnMsVHM8/%20/zw+77zzzvc+P+KvhY3kwviMUaX+/ftHvsVF1O1vfvOb77777hlnnIFvb7jhBnPxnXfe+eUvfykX%20W8IxCdKXTkqdPoOnlCbbIJlDMUjz22qrrfApvzkefPDBrCia2ZUOTpR7OTBYDT3Sqs0hgQi6J3xu%20s802+DSjUGmMivNQ8t3vfhchguixD/Qa8YuRNAnk0djktjp48GDjp9wmEY7gU65L9511LknGjUeP%20Hm30mLEWuYGJcrcD91cTBNi/v+UGhndR41OGLe3h65S2TGDUtWtXW0TqjCjXHPZUoOgRJ8Vh0W/u%20xFkNSb9pH0K7ZT1JNtQw76b+4MaDQ4Jvh2EAhBeQjd+qm11Pz0QwSrAIbShZsSLNcIsttjBkHnro%20ofRqkVLyLhEMajI0m98A8ttAlDc80neGiJbQEmFF3JYfITK2Kp/4eZPJbTsx5uvxrxlZkYZvD9y2%201BzJiAx1iKvSdiRwlB+9zt2guCE1cL311jOfZgAbZYFf1y29bZZAgjCEHfhcf/310WVBoeRFhqOk%20SYoJNNX0xYf0chcbNGgQPo8//nhzBSdiImt/Ainx5PDDD7dzNGvWLPy7/fbb43PLLbcUQ3JRfniL%20D/IbPtRR6+ApU71RlpDca7t06YLP7t2741NCdS+HqEJMJpPozXRmyi9+b0W6HumPzF1BZhAy3V3E%20AfwcfPbZZyNOih7cBmThQsKCqma5gGP4CSs/QI1jQC2azXyH+J91kPmkk06CXXwazUahdKmywEWz%20oEo0S5wnTopm6bjXXXddfGqmfmTcwhSfqEIRi+fO9RBzPYhH7ekk0SwO23edrCYQ4Mq91haUGTcM%20R4nbDgueDMZI3kWzCV7lxGFyUwau4gunml1Pj0XCL7PkywhK3yIl26NHD3xmnUo22Yy7bZpPwwVP%20mboUGQA2QymiGS0USrp162ZaVnogJiVUoetAQCM/6gyBAw88UNY8ZeqmRAMiDyAVQeEjt3npBvGt%20JBPsZtItpfPyQ1f6bfmUaMBEObLsKc2CpzRFgIjKjgWN/ynnZBtmSuxiqEm+FVCy6inTgicZXoqY%20ECZyo5SbJvTLxXXWWQefa6+9Nj4jqwVSwveVzHPwlKYgE0rCIVfOFh1slUGkYX7thXtwcrfddlO6%20+j//8z9KDc3E8btWBu0jR+QuhSVKWQeHbIXyG9eMQvmtcrJkSkahIg0YRuMjMSlJIr8SgmCKJKVI%20+mTwWVa0RGaRjAa3sE8ya3Sm9ydNSgw7AciJJ55oJ45095gxdLgvRkTc8t4wCxHNCPIkvGt2PQ0H%20k0bCLwmvcXhcJCRUzQypvebJnqeDdXu9YKa+V0JhxNkO02ctKUmQcfDBB5uUkZ+mZol6M1UN8/L7%203/8e6bGAQYZALrzwwpaepEyAIA/j+pj+w29dfOJcwr5IN3jqqadmXd0hAYeZknOYm0vIgoSMMrsa%20Wdxt13BEVOeee26CHkMbCm+88caU0DTJMtXVlIY8B08prbZBsjwKwxkLOjh0SbLeCUrwI6xZk9O7%20rdTQTFyWbWH1BhYxnHXWWTiXOfWGR7IPMjMIQZkXT9OG05PHzUPuXvYoFEZH4JJMQ5hVt+l1SkoT%20FphlSVk1JKQ3XZsZqpFhDDOph0xljVahE5k1szAevYUqCX/j03YypiIrzGRQKr6ivKUn+rw3MyE3%20P1lJJkGwrIRtdr2lq/EEkndZA+c28NbMqNQH+TVvP8Egy9fkOuIqqUtZ+wGZzLXjG3Ejq56GzsuE%20lKx2kkOclNVOMgObsKCqmQ+R57kS4hiHXJg13fDTnEs3iMVJWPKENaw4/9WvfpWpkmDiTEbI5Km6%20TLItEx933HFIg4AMj9rZRSm/3jH1htVOMhYVXwDeUnnlErRD8ORQcU05aWRDFXbc52c+P8QfWagk%20jbCcR0Pm6PgQNkn3t88+++AzeUi2WcGh0xwyZAjEEYGlWUqcqQKYp7GMb4hZoUGGXjCo5jCVacoI%203kpAoBm+albiWMIiOTVDNQggzKCCRCFZx/AlaomMDPmqcuh8ATNegjJ/KivMJER2GHnS571ZNmXB%20kATW4rxUlWbXHXBJ3mVJWdbpuWRzso5H1nsZsMiOrH/CdVkviEAwU6sRo/IwR8LaKQcUIiIPKESW%20wd1yyy0ImyTBYYcd5sAKAQEeKEausYBBlhnI+JOXA20H9VYe8cEnzuXZt/322w9hEz5xvvfee+PT%20oRv8y1/+Yob3ZIBchqP0BwaK7rrrLtGD6TZZHYhzXEfYdN555+Ec0ZuZymxo0aHy6D3PQ4P/4MkZ%20jbNgHlzS6MzksPRH8gyILLiR1YJuh21aNnlKP1WXyW3bPWmBZnbfXmnhlgtbKr7tU0udDTMi/Tui%20AbmB4ZCWHFnfbfcmKYGYDQXw09/0TbK/jvNUXTyPEvnJsiF72Y3cJmVFi/Nhbn7orPUrtGSdMio2%20VAlenAOIvewmspAopeeyfllWDknDkXNclxU/DgGTMd0s75HlWfaCs5RuI5lslRQfEGp2Pb1mwdsw%20vR3r2AvO0itvdnOVTZ4iW3ukbC+2dSnQyDp6mQOSn3ny6TajJ2Na9pP/+BfrnOSpl5ZHs+zIonsZ%20xZH1TzhB72e6QdEsVdEsgWppThKY54dgXVY7iR7Z5CnrVF3c6FNPPYVH6uSpOhxYNiQemoYjY0Wy%201CzTgdgIj9rJ83TQJlhkk6fkqbpMVuTmKD/n5KYJQ7KMUu6eL7/8Mj6btYiILYcam8Zb/8FTGqul%20SpMT2Uge5VeLjAPbzyzoUUirMFN18hjt5ptvnqDZLcv2E3b2IycOWYg7IHdcmar785//jM80j5xE%209CACkz46sqzKfsLOfvLOeJ4GiCyfx4yM/WCd9KQyx2G2M8h6D5CAQGbN5IEjoWE/YWc/eZceuAQK%20ZnGM5B1RgnhopupksYuvUQH7CTv7ybv0biekFM9l0Ese0be3T0tjolneZcQF9QfQGt7s0yiX/l3m%20LCSEkrrX7HoanSaNDK6IWqkPolauy83efvIuvXKp0lINJO84ARAJKGWqDkfDtpPGisTQ9uAQWpz8%20TpAKL59yJdMBPbK8KfKclz1Vd/nll8cTtLQiTVsm1BBqmCDJSzconbbcDuSxa6mWEjTIVJ3sbpPQ%20DTbrtewJO0yxQbOYM0/YmXxlfTgOQRIm7GSQTNY8yX1NgjCp9rKhgDHaknPDBOYJO3xrnryzn7AT%20aA23vHGz6CKFAsh0iI23Ew9sw+B8YOG92yHbS7gdCKWdDwnwWx6y5YY5ULcgYjbzcDsxuzrJ7Lg5%20ZPuQ5ANj0S2PP/7xj9AJbSZlZPOCP/3pT2Yblawn0pPiWVOzU0uk+uK5OfNV8onZRSbeAHB/xbdy%20lzWHbC0TPxIaQsNF3JJe7o7mMDvipG9WceW4e0E8MmJvliil1xx3T9av4JAdmGwmmdRGEpvxIbke%20+UUo2XE7zJiWiMdnMRzUNst75Lq9CVZ6K5G8mw3Aml1Pr7lZfZDFduYwRZxec7w+mLxHnnbEbHjD%20tpN8URqgkW3W5FO2d5NM+hzpSTCzZndB6JpsJkjTsINK7gMjv4JMTxjpBtFPtupuo9+bLaOMk4iG%205S4Q6cSwHqPZ3aHZTScSb2EbKklp9qMSE5jRy3rXw4BWxD1zw5XNEcyBJysb3oub3dxlqwIs9zQJ%20IvCfeOIJBBWRET652PJIDlfE50yNRRJnlhFLyd7g25b5aZbALXKClFvYZKSyViOTvmXYZBLYu92Y%20i25hk0jZLdK0Z3QTKVuyQ/AEEfPzET+PsgZMdvp48GR2GUAFs4Oqll2qdNwNN4mR4AmHLELHgVtL%20QkffrAlFbiGR9mbui26328ityw417PuiQ/OOhDKR26rJlNvt1vYnEjx91rN8cZjowc3/SPAEJTYT%2057CsWd7NdXkIwO0weY9E0s2up7fSrD6Y+NstwhYHmuXd/Dxo9qujZTglrS8ePNlNPv2PJekQTGci%20dS8SPOFbs9QaCRwiJ+keTZGhv7I7TNMN2lsTp+x4JZn8NJVDVojLYVav4rqJqOK3ieT7jok8TOQk%206c1TOAiw3G55Zm8CuBe55xqjeM6j2e04ffBk71+A8T8TMBho9sWEeKNlrOIcPHWwuznjVsKJbAkD%20h5ITO+8c4ywIf+omGzDLUvoa4L40+NXjJVNp2hHTkECFCGS9TSRkzZcqvZ6wGpTWNeK1km2Z2U6d%20OqG6tkwWr9J5rXlycMUEgBXqU/SuOoMqg2m983oN3quNL5f0BUQNJFAGAh5bhC9Vej1l0OBcuHrn%20nU0HEXTOr7NgmmzmFTylsV2qNBrKGlklhICmfUUtvrLgS4/brxBlOVKcBMpJoITNSu+SXoOysAI6%20oDGtkVUSK6F4GYMn5xJyFgxbMAHdDmjaZu7LDV96GD+FbRG0XhICJWxQHl3SQA7oRkDTQYiVNr85%20Bk+lzXOzGqBxWCOrqZH627zec70GJYE84jA9WI+ZoioSKJ6Ax3btUZWeg94ZpQaluIaAxrRGVuOz%20s2zeDucYPDnnWSOYNy+NbwmyFXXb5Ejvv16DR2fyUJVTzaFaEsiDQLu2R4/5ygN7S50V9b+ibicX%20R0mDp1CsNXY1sspxjoCmPcYZylxw/Kllz8sEJJCGQLu2RC/5UirRiGtkw95i0tS6hmmUWXa2m0Yw%203+ApSM6DGE3DOtc0ylwrxX1lrSRuRLJTTq98MaceEsjph4dHsCVpg0o3lOIeeRapKkiuCzCab/Ck%20KaECMu891FX6rBTX0PYiWyr//TrjV5sX2lRCAt4J+K3nfrUpM1sqZxzyovRfI66RdcipEQllN6XP%20uQdPJc9/SkyVSKZErRQXRHoleg05tT2PjlWiOtHJuhHwW8M9atOr0mvQd25efKhbnXTLbzGocw+e%203DKvlFKy04hrZPXtMyw3pfU8gh5lcURyBG1+FfoiRj0koCHgvWJ7bCYeVSkRacSVskoIGnGNbPA7%20mhJ7snipgydlseUKrpzKy0DMiw9elPgaDIuHUOUsfXpFAg4EPLY17y3Oi29elDiAtUXK4IMyCwWL%20l59YEcFTEApKoxpxjaw+VA9r3WPvqcxIrj2XR98K7pJojgSq0jS8tLIyKFH6EFA8oGnndqr0Ob3d%20IoKn9N7EUxYGQuNkm8l6YV4eJR7juVzvOm1WiyLZGTduHF4jHTmyZlmU4DOlYLP08+fPh57evXtD%20z3333YfznXfeGecJ+sXzlHaRLCE9bIlpwwQ+GM2RDGbKb3r3yt8oytOBePEka9HUPH0lmBcUPAVh%20EcSol15J6blSvFTt1mNePKoypexdZ6ng5+2MxBC1OhAn3X777WeccQYCuJNPPvnaa689++yzDznk%20EIEgceFJJ51kmOBbJENiv5RQb71XXY8KParyy81BmzIvYcUd8mtElJ67mS7SaEHBkxsIL4GIs+ki%20iyHuZBtYD5uFhuWeh0t56HSutCUXRCggt22BNm/ePHvQpTDne/bsCQfmzp0bsYioBdft2MW7Swib%20oPOAAw5YvHgxTrp3777uuuuCg4RHEyZMACLb6IgRI/DvOeec49GTPGpsHjqVWfbikhclzhmpp/Ww%20uU5fWMUFT0GIBDEaNubzZd0LuvIoyfX3kJdspm+07ZHyqKOOkoyYiTMMRGGW6rrrrsNFe5ovPu4i%20KSPzaGZOMD6gFUlvT9vZMCPTdsYHcckcIi6HzPfJ0Sy9LYhhp+HDhzcsQVhBFCXRkjkQ5/Xq1euO%20O+7wVeh51FW/Or1oK4kSL244F31A60FMF2y0uODJuQYEFCy4MCI5VVpXivvC7sUNL0rs+MmvQmg2%20oym+uLW9nksuucTOI6IKhA64glGZo48+GnNV5ltED3b8hK8kJQ4TJ9kBE76FBiPeMH1LvIiEjA/f%20+c537PTwx/wLt2WuLSG9SfzQQw/hfOjQofjs2rUrPhctWvTCCy9AIYKkK6+8EgElTiK+7bTTTl6G%206PKoot51emmYXpS0rCEtEyjdUIq3dC85QVjrSueLEa9G8KQpSI2s3BSdS0Ij62zUo6Av/73o8aLE%20huNdobK2eCy40qpCOGLGbOAkxmAGDx5svEWIgEJBnCRxlfwr01h2MCSccSDmQBoM2GDsCifQhov3%203nsvEkQGqyLp0/DBDBqSYU2S8UGkZBQKUQ6u41ucL1iwAJ/N0tu2ECfhX8zT4RNBErKGsAxMMJcn%20a6G++93vxn3r0aMHLiLMSuN2szSVqO1enPSipA3asoaDRlaJTmla00ayyhYaPFWIS1aOOaVXElOK%20K5uBdyb67ERc8q6wbMS8F4FHhQh9brvtNqMQoY8MusjwjBmDkRVICCxMSrMqaPTo0biIiAQRGIoS%202hBjbbvtthEn4+nT5MIMgyGxvQoKA2OwdfHFF2PCzh6RapbetiVhFtY5yUVZYoUDOq+55hoJJaE2%20MiMpwZYEXm5HJep5Hk664fLSipXZUYo7Z7y6gsUTKzR40hSMBo1GVtmQlKaV1vXiXjT4UuJRj6mK%20+gKK12q5I2pqe7vK2gvG4+u17VzLcIsc9jSZnUaiCjlkVVNkKjCC0U6fhnAzuxLc2PFcsp8tbclg%20G565w7AW1KLywHRksK2lkoYJcqqK3qu3L4Ve9OiVKDUoxZX9pNK6Rlwj69ZANFJFB0/VoqMhS9kI%20AV9F70uPcc+7QtGck9qa1CsZpJHDrHCK5N0MxmC9EdIg4ABzmbZreGQdvGloV2IamSKUabuWfrYs%20sqlTp8J5jD/9/e9/l4gNsaB+e4KcaqB3tb4U+tLTsryYoGwEghR90cGTBroGkEZWeSNUmlZa14t7%200SDlrkfhV4+pjb4ci1TvnH73axpR+WW32GILOImRGIkeZDm2/YSaWccty4zMeJLM4s2cOTOSx2bp%20k1FIEGMe/Ysklp2ZEOuY68npJVmz1UvwUJxveNgrpVIWX34Vz3tL8aWwPHqUnijFld2s0rpGXCOb%20sl34TRYgeKocIz3x4FnWO6DX4Dfu8eVP3vGTsi/T173KacDKJ9nFAOEIZsck9MEaIzsjMnEmo00Y%20sJH4SVaj24/pGZFI+jRMZEMmrGqK6JQASK7bs4TN0tu2tt56a/wbGQCT+EyWVQ0ZMkSGuzCnaR67%20k0E4iSnTHN6bRn5txJer5dHjy5M0Bd0wTXAHnD13FgyV5czBU8eOHZHJjz76yDmrGkENJo1s8Fug%200nkNc++yvvLiS499b/CuU5TnNxLgvXTKoBChkr1XJOIJ+wF+fGVWI8nCKcRPZtconOBbrBwy017x%209GnyCJ3GB3t6DlGOGQaTBBJCNUtv25JHC2fMmGFfPO2004zzUALlEheaeBGbPMleBi3dzq+a5aHZ%20V1vzpacl3gIShM2L0rpGXCOrKReJZCSqyXp0yOr0Ouusg4dmn3rqKZxkNWbSR3a3y6QnlCyc1JjW%20i+s1KP3XO+ClAkRqiz5T8eqXh06xkp/mTI2IiUMRwJIpBFvpe12EgIicEKW13Pc8vc6sec9Ds0ed%20vlTp9Sg1KMVRrEoNAcU1pjWyCxcu7Nu3Lx6AxUnWdpF55En2dnv55ZezWrLTa3IbSlZfNTXEvMhq%200IkDeg1+9Xh0yVf9TC6pPH7Be6kbVFIMAdnJKbJleYJprCXHt5FtxyPpc61Uvpp8Tu3Ll3t6PXoN%20xdTAZlaU/mvEQ8maSEaimqxH5uCpS5cusPHSSy9pMpzVy/ZIryfWHhpqHj/lFPC1Rxtp+1xg5g6T%20dJiqS5lTLOHCsFPCnJ2+T0jwJA/lHnX6UqXX0x4aUtbJtkmGUkMkg+xIVJP1yBw8yWqDRx99NKul%20+K8lZw2amqqR1d/2lNb1Djgzz+OHo56G8cqjqlx12srz8NlL+VJJrgSwmCl5j6tIW2s2YZfrgFNO%20XY3HOu9LlS89mjqj90GpIaC4xrRGVspLIplmO7oll2nm4GnXXXeFRtkaWO+6psJR1o1AqUrNozMe%20VRUW4uR9/3OrIZQqOYG8q01O+j22UI+q9GVdKmf02amJBik1iWQkqsl6ZF4wDgNrrbXWq6++OmvW%20rI022ki5AFYjHkoWBDSm9eJto8FUViVPu9J7VFWA2oJNZO0dmL5sBAq4T+dkwqPaUqnSOxNcg9IB%20jXgoWRn6efrpp7fccss111zzlVdecWjpmUeeYGO33XbD55QpU2o7+KQpcodCiosEd8Bv0XvMjkdV%20Nvac1BZswkvdo5JQBKpbCT16Xk5VzlXCY3bcfAjugJvbSinJtTyNIfGMw+Ey8oR9dbfbbjv8xJ89%20ezae8VP+1teIh5LVj/1oPJdiLoMGL26YWqvPUR6qIo3Ko5PNmmsBJhx6CooEJFDAHS4/Ex41l02V%203p/gGpQOaMRDycovf+y41K9fP5z87W9/w+a0Dq3bZeQJlg488EBYPeeccxxMtoeIpuCl8JQcyqDB%20S0YMB32O8lAVKSaPTjarADBRgBVl9aN4MQSKqQz51TePmsumSu9PcA16B4ppBXlYGT9+PLKPSMYt%20cvps4MANHzbJRNQG+T//+c/Dhg1T/lbWiIeS1Q+6aDz3OMSid0OvwW4bHrV5VBVvvbkq91i+efQ7%201FkAAbeeOatjuVrxqNyjKi8/+fT+6DXoM6L0QSMeSlagTZ8+fZ999sE5Zs+wSWbWViPpXUaeIAZ7%20p5xyCk7wPss5c+a42a66lKb49fW+PPSUHCIZ8agt11/tHv1MKMpcs1CeKkRPbAKFFXp+ddhvFvz6%206VdbwKqrzIhSPGDGlaYRsch7uBHDOEdOEHcceRLv999//8mTJ2+22Wa33nrrCiusoMmS5nd8KNnP%208HXoECrXxq7SB30uxBO9GzbJMmvLz8/kuuSXiabeUjYnAkXez/Kz5VdzCbXpXdJr0P/8VvqgEQ8l%20C2jvv//+t771LWzvtN9++02aNEnTkB1HnsTkxIkTETnBD3hTz/EnTSXQ134pBaUPXjT4UmKqsj5T%20dqvwqy2iOT/lkYbt99e8ptegrHcCRRZurrb8NocSatO7pNeg72+9+OC9FeStEFGKRE6IWxC9KM2p%20gqfll1/+j3/8o8RPWPmEt387e6Mpy1CyXmIXjfPOtOOCXtzwoqRy8ZO+I8tUjnLn84s6kwNM7JFA%208aWZa83xq7yE2vy65FyRlG4oxZU9nsa6RhbxCaIUiZwQtyB6ceYvgqrgCfIbbrjh/fffjxGw119/%20HSuwjjvuODwBqPSpYHFNeRTsajNz5cmCX0/KrC34sBBDqJK0Pjc3ii++vC2WubX69c2txL382NaY%209iVbHpgpc4SYBJEJ4hNEKYhVELEgbkkpm5BMtebJ1vvTn/70rLPOwhWszDjxxBP33Xdf7D+e1T/N%20qo5QspJHjXW9uBcffLnhUY+vfNn1UFlSLat03vobOhDEaEsUTNCQQJB7T95G/eovpza9V3oNqFFK%20JUpxpQMa6w6y2EMcu3ljTyWRxQrxX/3qV776JW/BExzC/gVnnnnmn/70J3EO69h33nnngQMHrr32%202nhrMT6XW265ZL819wCNrP5+r7Sud8BXnKHPiC9Pco14fGWzWX3OW3/Z7Prqj9pYj0PX74VG3na9%206/er0Jc2vR69BmXgItVJ6UZA8ZamP/7445dffvmll17C5yOPPIL31iEmkVxjP6dTTz1V82xdg8Yo%20Y7keD+zXeeihh+J9MV5aPpWQAAmQAAmQAAmQQFYCiEMQjSAm8RjhGFU+R54iGZsxY8bNN988b948%20RIKLFy/G5yeffJI180xPAiRAAiRAAiRAAskEOnbsiDmurl274rNXr1677rrr0KFD84OWY/CUn9PU%20TAIkQAIkQAIkQAKhCGiftgvlN+2SAAmQAAmQAAmQQBACDJ6CYKdREiABEiABEiCBqhJg8FTVkqPf%20JEACJEACJEACQQgweAqCnUZJgARIgARIgASqSoDBU1VLjn6TAAmQAAmQAAkEIcDgKQh2GiUBEiAB%20EiABEqgqAQZPVS05+k0CJEACJEACJBCEAIOnINhplARIgARIgARIoKoEGDxVteToNwmQAAmQAAmQ%20QBACDJ6CYKdREiABEiABEiCBqhJg8FTVkqPfJEACJEACJEACQQgweAqCnUZJgARIgARIgASqSoDB%20U1VLjn6TAAmQAAmQAAkEIcDgKQh2GiUBEiABEiABEqgqAQZPVS05+k0CJEACJEACJBCEAIOnINhp%20lARIgARIgARIoKoEGDxVteToNwmQAAmQAAmQQBACDJ6CYKdREiABEiABEiCBqhJg8FTVkqPfJEAC%20JEACJEACQQgweAqCnUZJgARIgARIgASqSoDBU1VLjn6TAAmQAAmQAAkEIcDgKQh2GiUBEiABEiAB%20EqgqAQZPVS05+k0CJEACJEACJBCEAIOnINhplARIgARIgARIoKoEGDxVteToNwmQAAmQAAmQQBAC%20DJ6CYKdREiABEiABEiCBqhJg8FTVkqPfJEACJEACJEACQQgweAqCnUZJgARIgARIgASqSoDBU1VL%20jn6TAAmQAAmQAAkEIcDgKQh2GiUBEiABEiABEqgqAQZPVS05+k0CJEACJEACJBCEAIOnINhplARI%20gARIgARIoKoEGDxVteToNwmQAAmQAAmQQBACDJ6CYKdREiABEiABEiCBqhJg8FTVkqPfJEACJEAC%20JEACQQgweAqCnUZJgARIgARIgASqSoDBU1VLjn6TAAmQAAmQAAkEIcDgKQh2GiUBEiABEiABEqgq%20AQZPVS05+k0CJEACJEACJBCEAIOnINhplARIgARIgARIoKoEGDxVteToNwmQAAmQAAmQQBACDJ6C%20YKdREiABEiABEiCBqhJg8FTVkqPfJEACJEACJEACQQgweAqCnUZJgARIgARIgASqSoDBU1VLjn6T%20AAmQAAmQAAkEIcDgKQh2GiUBEiABEiABEqgqAQZPVS05+k0CJEACJEACJBCEQIelS5cGMVxPox06%20dKhnxplrEiABEiCBnAjwPp4T2AS1DJ4KZY7gibW8UOLtbow1qoASJuQCINOEMwHWT2d0GkFO22no%20UZYESIAESIAESKB2BBg81a7ImWESIAESIAESIAENAQZPGnqUJQESIAESIAESqB0BBk+1K3JmmARI%20gARIgARIQEOAwZOGHmVJgARIgARIgARqR4DBU+2KnBkmARIgARIgARLQEGDwpKFHWRIgARIgARIg%20gdoRYPBUuyJnhkmABEiABEiABDQEGDxp6FGWBEiABEiABEigdgQYPNWuyJlhEiABEiABEiABDQEG%20Txp6lCUBEiABEiABEqgdAQZPtStyZpgESIAESIAESEBDgMGThh5lSYAESIAESIAEakeAwVPtipwZ%20JgESIAESIAES0BBg8KShR1kSIAESIAESIIHaEWDwVLsiZ4ZJgARIgARIgAQ0BBg8aeiVSPa6667r%203Lnz66+/XqRP9913XwfrSDC98847I+G4ceMappFv5cC5lyzAVoLOxx9/XL49+uijs5oTzb78zGq9%20zOmDVMIyAxHf7Opttxc0WHwFaMVkwbneNmu8UIgewJfz8+fP7927N5jccsstEZ2XXnqpcPPOCv4H%20acibb755PJu+SFJPQQSW8iiQAAo1J2sDBw6E8muvvTZB/z/+8Q9JNnz48JtvvhkpcaL0B3pMTW2m%206t57722Z5tRTT5U0epeMGwk6jzrqqJa4mmXH5AX5UtLTi+dXoxx8C1UJHVzNJKKH/Nprr/Xq1cuu%204fPmzdt///3lCrghQSaXHBK71dtmjRedCRR6bAJnn312sx4A6FZbbTVYdMh1ggj6B6hN7jP9WjTa%200G3CNHohL/r19dOLG3VTkte9vG4cU+Y3p1ouHZn0wgmeoLNGH43+TkIHLx1HmsBIojRYRP/YzL2E%20rjMl23iyZjrlTubcaYpaj0GecwYhmFONcnApYCV08DaTiBfI8dqIeog2KC03oWlkcjUhsXO9jTde%2047nH4AnRpARJ8rvOHDCB694jJ+kDPfqftZik5/QSP3mpn1n9Z3oGT4XWgZxquXQEcnjvZZIBpQye%20WlIuMnhq6UyFEuRUoxwIBKyEDt5mEvECuWENl7ikPLF4GixmADts8JHG1WZpZLw8+O8faTK/+93v%20NHkp1S8oZUaqJc41TybqqOoJ1jk9/PDDxnusD4jnxF4AhOl2/IvlBbJwJ75MynyLNM1WKTWEhVl8%20KIdaCGJRkaRJWBcF5VjiIG489thjEZ1xQeiUVRFYHiGJceWAAw6Q9RA4MUaTyzI5g1BudNorVHAO%20tfYVe8GHLQUnI6Xg5meFamR5KmGFoCW3U1mLI8vI0KxMYlOXcB0r9iLtt1k9jNdb+wqqq7Rc6Bwz%20ZoyxFW+DuLLDDjs88sgjkmbbbbeFlOkloMcs8EIriC/rgbfQL61ebIn/zVYo4lvkUdLH1wnZWYAG%20abZInLw0Cjq/973vwegxxxxjchpxABqkh4Q2yZ3dadj9jO0DpOCtXAEHJLMbvg1W7O622274/OlP%20f1rwWtVKt5ESOV+tWK/q3qLgvWcBP1zwo9b87se4d8P1E2YBkKweMGuVIuPGogcTfPBT1mQkDyzb%20I08wAdNSuTHSbnLacF2U+CPeYsRelsvgsH8O2oLwGYdMc8hgu/lXvhJt9sBbw9/6yRmEJ2LCJoB/%20jVqTQeOG7QkcMz6bacGWfmqqRB41ysGfsJXQweFMIl4gN5y2M3cCM21nL9Szq5M4bNclaXp2e7Eb%20SKQexuutfQWtDzXfiNtNvmHjNW7b014yiiZXzHIuew4OFqWZI7PGurEVX6Fo0qN2mUVj9my7nQXR%20Y7oRZKdZEUOD+B/pJ40D+AppIsvUkC8zMW13bhGM+Bfemj5QukRDI75UQFIqB5+81M9MLYKJPxvw%20I4UiCeRRy9GS0VPYfVzD1TyRvtsEPYgV4lGO9IAmTcLyoPi0nelYTf8VT4OvJJnpOhsGOraguIRk%20cFg0m8Xv4r/03Xa/FtdpKDXLoIlBJYHpZyWWkiN+5xDTsuDM9PjmttHST00NzKNGOfgTthI6OJxJ%20xAvkSG20F4zbAZBJJkilYpu1jFKXTG2UqmhqWnI9jNdbc8U0cHObN78WGs7Lx1WZZAgXpJ1KGrvh%20mIsStUhbk/S2iKFhoplIAjswinhipkETwhFJY/d7zRww2oyT8c4t3iHYxCSnJuPxH6JSoMlrVVvW%20VS/1s6UVJogQ4LSdaQ6VPMEoOhpez549d9llF/M4z/jx49Nn5o033jCJJ06c2FDwhhtuSK/QpFy8%20eHEzqenTp8tXPXr0SKm5U6dOSHnSSSctWbIE+cV4uJk7sDWgY02YvGuZwciAf/fu3UX5m2++2cxP%20mLv99tvx7eqrry6fmEVFM0OJ4F83P1MyKUmyMlfCkiCy3UBtwbQOWisqMGILBC633XZb3E+p57iO%20b2Ve3tSlAQMG2Onvv/9++TahHiZzMPXcaBZV6Y+NNtpIQo1VVlnFlrIbzllnnSVfSUu5+OKL0UzG%20jh3bzMoll1zS8CvTeyS499ZbbzX7VrK2xRZbpM9dJFMQTOjcbLWSU3OY9QbmiiRo2JWld48pgxBg%208BQEuzej11xzzciRI0Xd6NGj5QRNMd5K05i84447GiabNGlSGvH0ae6+++70iSXlJptsYos8+OCD%20zTQk9Pt5ZDDBE3jo5mdWOGHTV7QShoJmRlbmzp2LYB0rdRp6Er+7m7p08skny8IaEXz00UeTa5pD%20TmfMmJFJCkEAgjwEQ6NGjcLyIBMnGSWI7ezfaS2VJ6SfNm1aS/HKJUi5XrNy+Wpjhxk8VbhwscwQ%200YCMcOAYMWKEycwVV1zhkLFMvZuDfiOSMJCTUm3CL8sEDS0zGLmT/fOf/xRtQ4cObaY22RM3P1NC%20KEOy6lbCMtDL5IOpS5HHxGTgqgw1DSvE+/TpM2XKlFNOOSWStbfffjtTZrOmz6S8hInrlt8SFkFW%20lxg8ZSVWovRTp07FLJV53MNM28HFZiPeJfK+lK6ceOKJsmD8wgsvxKdM82FiFL+nW/pbz0dmWAlb%20VoyCE4Sqhxhw2nXXXfH7pOVAdSgPCy6ITOZkWQKPChFg8FShwoq6+utf/zryUIlZEI0uzOFVBma5%20aMSSWTjpC9Zmm22mVJXg0tZbb91MecsMYpXJnDlzoBw3AESlmADFYk/8so+sXbD1G3NIHL8ruPmp%20hFOkeHUrYZGUvNjq37+/6Gk4MZ1cD7M6kDDU2lAVZp0wmYivUOFlqVbkGDx4sLkya9aslv4gvdlB%20NJI4q28tbZUhQWRZQhlcog/JBBg8VbWGYEsVWSpuZwBTeKbHybRsXJR8+9vfbojjkEMO8YvpW9/6%20lig02zuZSYeUv0rR19gjbcY9XLS76YjbaTJ4+umno3eWByuwKgVL1BMiJ+iHOeOJPVsqm9y4+emX%20dn7aKl0J88OSk2a7dZufRmgvsqlYcj1MdslMTy9YsEBSZv29FInnGs4hmkdZzz//fONPwivemq0G%20s9cnOKCWX1APPfSQg6x3EenuzA4L3vVTYX4EGDzlxzZHzeg6sbUaNnCL2zA9FAZC7D30ItGJ6S6h%20wcQr6K2kZ5FJK/lEN9qsF8O3ET126GO+ittCRy+GMMAjW8mZoX64bV7VaQvGl8D/+c9/hgb02qJB%20uu8rr7zSMIkHZC0zCLCY8Yw/XGN0NsygMYp1srJzJjbE69atm0i19DPHipKn6vJUwjxz6Uc3qs2E%20CRNEl9TYZnrtShv/IYEn1EQQTRtKkADx+hFHHCEXE+phw3prfPjZz34GbWhiEpOhbZqBkIYdhQmt%208K3s/WiaDH5vQNXGG28sym27v/zlL+WnHQhIwAdzRn+8tSK9/CxBYgMQI8HmF2M8U+ZKwgow+QWF%20sfkI3rgDEW0NGcYvxokl/DKU5+wOO+wwP/WMWookwM0biiSAktWbM7uGSD0x2+vZ+4vYVcjeaKRZ%201bK9gkLps/CZ/MqtZhaNFSSIpxFb2AHFvGIP26jAEH5+4QQzj7I5Slww/iIq7EZjZuJw0nCHTHEm%20spVOsww2/MGNxLLZnb2ni6g1LuHE/HyMeAKpBD+V9cFLjXLwoTyV0MH5rCJKyM1GceJuRKg2tIsG%20IjVN3iwb2emxWT2MNHypt+YidEo7gk5T1Ru2QfEZqwXMtmrS6OCGXMGnXDEJ7F3iIq9DNjtURTJu%20Wqv0EhJyIdeR194l3ygT+i5p/ra2uAORUosXTYSh6Y0jXjXLmsHbbFvj9LVUWT/TG2JKm0CH+P2g%20yNCtbrawjIbAy1zo+I175JFHNvQQnbj53V+eLLBGFVAW7QrZbHaAOCBhsrsAwgWbwFwh1rYjPGq4%20w1ZhzmD4EOPc2M/TjB26mW7X+ulGozApTtsVhpqGKkAAvVizReVuW2dVIM90kQRqRgCrx/BbCLOH%20CSuu8kaC+X1ETnBDGTnl7Sf1NyPA4Il1gwT+HwH8FsTqq8gzjPJOq1VXXZWkSIAE2oMARpExQYk3%20BAeJn2B0jz32KOdgdnuUbwG5YPBUAGSaqAwB2YIc738w60Ax4ISdnbEuASv0K5MNOkoCrQjYK50X%20LVrUKnkbfo83w9x00032o3+FZRIr9P/4xz+WcBlAYQTawBCX4BRaiJycLhR3dmMIlfD4EkIo87Yp%20LFPdfPPNsXlmw91rslvwLMEa5RloI3VtCdkseJIcB18AVEA5tquJtqyf5S8sBk+FlhFreaG4a2CM%20NaqAQibkAiDThDMB1k9ndBpBTttp6FGWBEiABEiABEigdgQYPNWuyJlhEiABEiABEiABDQEGTxp6%20lCUBEiABEiABEqgdAQZPtStyZpgESIAESIAESEBDgMGThh5lSYAESIAESIAEakeAwVPtipwZJgES%20IAESIAES0BBg8KShR1kSIAESIAESIIHaEWDwVLsiZ4ZJgARIgARIgAQ0BBg8aehRlgRIgARIgARI%20oHYEGDzVrsiZYRIgARIgARIgAQ0Bvp5FQy+zbOR9UpnlKUACJEACJEACXyawdOlSIimYAIOnQoHz%20JUSF4q6BMdaoAgqZkAuATBPOBFg/ndFpBDltp6FHWRIgARIgARIggdoRYPBUuyJnhkmABEiABEiA%20BDQEGDxp6FGWBEiABEiABEigdgQYPNWuyJlhEiABEiABEiABDQEGTxp6lCUBEiABEiABEqgdAQZP%20tStyZpgESIAESIAESEBDgMGThh5lSYAESIAESIAEakeAwVPtipwZJgESIAESIAES0BBg8KShR1kS%20IAESIAESIIHaEWDwVLsiZ4ZJgARIgARIgAQ0BBg8aehRlgRIgARIgARIoHYEGDzVrsiZYRIgARIg%20ARIgAQ0BBk8aepQlARIgARIgARKoHQEGT7UrcmaYBEiABEiABEhAQ4DBk4YeZUmABEiABEiABGpH%20gMFT7Yq8+Axfd911HTp02HnnnQs2/frrr1966aW9e/ceN25cwaZpjgRIgARIoI0JMHhq48L1lrX7%207rsP0U/kwEUYaPhVxPANN9zQq1evP/3pT94cSqfoiiuumDZt2rx589IlZ6oMBB5//PEDDjhAqsTm%20m28ulSFy4CK+QgLEr7fcckuCdoS5nTt3jse4CLshKxoYAWcoHnVSId+wWFFS8d4AFxvalP4hrkd+%201eCrhuUeV4UaMmbMGDHdrDqhhohOHKicqKJqDFRAAs0JLOVRIAGUQ4HWPJv63e9+J/Xo2muvjag+%20++yz5at77703bnW11Vb7xz/+4dmbdOrEZ7iXLnn1UgWpUShNlCkC4uHDh+OkYa1AJcF18AdT1IqG%201cbg3n///ePFBNmBAwei7I466iixEqocg0AOVRdRuADerDnffPPN+Arlbh8oHYjEHX7ttddQSeLd%20ghSo9BX4xDm0JeQXelATcOCHEJI1bNSnnnqq0Yn0YkLSt/1Rq/pZntKs8L28PBDTe1L1Wi5dajy/%20cndER9nwq3iwlZ6YMqU4Fuqmq3Q+jXiQGoVYR6IiHHKjghu4VxmHcTFyQ024meF+jPtipJhw27Pv%20xwkVLA0lZZogkJU+K8WlTOO/hXA9/kMIZY1CjFtEQCMla+uRorTTS5yd0EjltxkqlTERcU9GlyP9%20DK7AASWHSojXsH6WoVw4bSfxAA8PBDBmHtcyePBgDKF70E4VpSEwYMCAI444QtxZffXVL774YsTN%20b7zxhpmdwYQp/t1tt92My9/97ndxBdcjmcB0zM9+9rNf/OIXkeurrLIK1JqLqEW4DS9ZsqQ0DNrc%20kR49esRziMIaMmTIJptsYn8lE7K77LJLJD0qA2KafffdN3L9wgsvjKSX/mHChAnNmJ511lkYmkJN%20s6sTzq+55hq5snjx4ris1Mk2LydmLxwBBk/h2LevZXshVHxplOQbHbFZVzF//nxZQIPwCxfxLdYr%20YIG5XImvXTCLG/AtFk9EQNrf3nrrrXHM6O5lLQ6WUBx99NGw3r5FkUvOTjrppIheiZs7deok16dM%20mYLPbt26mWSIfnA+adKkiOAPfvADRE5f+9rXItftO6V8hTsxo/BcijO1UhRKvAj++te/xi+idf/4%20xz8+88wz47rffPPN+EXERijfZquU4jGQVCfpK3BstNFG+DzttNNgV66gUUMhQvbUmWNCEshGgMFT%20Nl5MnYYAujaMsaNDtO+dZgGEXJw6der48ePRwc2ePRuj6yNHjsSoO4YWvvOd7yDe+tWvfnXMMcfI%20lR122ME2inDnsccemzVrFhTinn3kkUfa8RO+xe/UK6+8EuO6P/nJT+LdN5adfu973/vNb36DBDfd%20dBP6XwxpcG1pmmJNToMf+mZM4pFHHkHiyBCFBEDm9oZ/mw1axA2hiBHp/vKXv9T7SQ1+CaAF2UOM%20ovzcc8897LDDevbs2cxWwxb39ttvN0v/0EMPxb8yQRWiOvQhqF1bbrklNKOOYWYZvYfEWDxIIBcC%20ZZg7rI8PKMJKZ1aqYLM1T5FVn7JSwV7uIOGUEZcE9tIW9ICRK5HFDbK81Kx+wAnSm9U2snjCtiji%20ZjlFfOWyiCSvVy1zkZWkRiFyikCOOyaVx5SOBNNSlAlL03BHlHoScOVcSSAXWQ/jjbehdXl0IPIV%20StM0qLieSJMUWekZGj5ugm8brjqP90VmnTu0hXpCpcgyMrZqWD+DcI4Y5chTLiFpeyuNP6i87bbb%20OmfZHlrHShfosa9E1l5gwcROO+1k5nRwgr7brLbBUBb6WfvnJpZo2I7JIolhw4aZi5hxgMjtt9/O%20wSfnEsTYA0ohPpeXrBATdueff358es6WwhgkSufkk0/GRQxJYtTQ2UkK5kFg8uTJkTk7mbCz16tF%207J544omoLShTGTDG/Brm2dEAcW6mfSMiqCe4sscee8gaANkmAyfmSU9JL2vvcAJt8dn8PLJPnXUm%20wOCpzqXvmPdmI0+O6rKIYT4I62bs6E2G7hctWoReGN9GFq13797dVi+LJCI3bHkgSLpvHlkJ4GaJ%20mPXyyy/PJJhywg5xMCqbeXgek7ANdx7KZJqJPRJAY4zM2bWcsMNc3t13343BIUy4Yyr2nHPOkZ9M%20iITi87ziKlaj4+k8JMaPNDRwNFXZVgq/o0xeUA+xkPGMM86QwelLLrkEM/gec0pVJBAhwOCJVaJK%20BDCJ0/DxY/wSbfjETSRvDZ++wbNjVUJQMl9PP/30E044wb7tJS80wbe4z2FB20UXXZQyK1COQQWZ%20ADIPWKWUZbL8CGAECEsS7efsENo++uij5knMZqZRoLfddhvCYoijZGXQN/lpAFiZO3cuRPCJMc47%207rgDIt/+9reNiQMPPBDBE5SggiE4wy8ixE/cWDW/0qdmBk+sA1UigN+U0m9qjoYzdOuuu65GZz1l%20MZKHidH4bU9mT+y14fJIo1zHhgUIgtdYYw0zgijTvpjKwZVmN7xRo0YhDXcrKE9Ni8/ZYeAHw0L2%20wLBMuaJ8G+4zjq/QGBHloF1jOi9l1jAlh/qD8MhUPCiBXTPdj+AMQ2LQmbD9QUpbTEYCzQgweGLd%20qBIBDNRjbi4S/eDGjJ+88rgy+lD7nh3Jm+xk/eCDD9rX33rrLfy7xRZbVAlECXyVOdCGAwbCGU9E%20GjefeeYZnMv1rbfeGsNI9iFLfTGVg4v4tmHmZLI18uhlCTDU1wUEKJE1hYccckikZGUlOMoX17t2%207RqBhaaKh/JwEeNPCY/m2VJo+z/96U8RGNkzxfE5d2iDUb6aqb61s4Ccl2HVen18QIFWOrNSIZut%20eYrsMC7zLGYrYbNVgXlnQiQB1MafzYlckYfjzHsYICJ7IshDW6anNh7K2yQiD4JF/MS/DV8uUYmS%20ClWjUBDx+VODEUWcfofx5KftTCnIg132NtOFFVAoyIVlMG6o5dN2KA5gaVkcCXrMbibp9wGHUbRW%20VIPIo5fiTGSPctTG6j5Fm6noa1g/M/HJKXG17+U5QclPbaVrecK77WSLARz2w8bSo2F0HREMOjt0%20bRLcYPhBIioZh7ADl8gVdK9yxe5ezQPJ0CwKTU8q91cxAU9wXRIgpXmdiIjjE8rl1SLmgfn8yj0/%20zUFqlNnfIfKCM7uYJI0UjdSchL0G4lsViIgMHkh0hWJq9ih7fnhFcxDIeWcqQb8JaxJemYKyRitr%206WTD4AllisrQMAyCQnwrX9mvcEHThip5o2LDbQikXUszh/84CfhKzZZY/CaoW/30S89ZG4MnZ3Qu%20ghWt5XJvixzmvZ7xrwwa6cJwyG0V91r0cSIYkWp5xf4RKd2oiczskkDHKgETEiCZ3HTRU9s/kXFd%20Ft/I6EjLX88uJV2UTPE1SgbzGh6RuxpSCmcEr8lxTzx4kjEGsSJDgwFf8lo85KKqTwM7Eu7YR0Nn%20pFm19LPZWDKqhGxrGdcgw5byJmD5Vlo0PtGfJLRW066RGIFdfbZ6qlX9bFnlCkvQIX7TatYz8rqe%20AFZNErgeIzUYAqxRBVQGQi4AcsQElkPhBU0PP/xw8aYrZ5H1M0iRccF4EOw0SgIkQAIk0JQAtsCI%20vy6avEigPAQ4EFJoWfAnQqG4a2CMNaqAQibkAiAbE3h4dvr06f369eOb6VJiZ/1MCcpvMgZPfnm2%200MZaXijuGhhjjSqgkAm5AMg04UyA9dMZnUaQ03YaepQlARIgARIgARKoHQEGT7UrcmaYBEiABEiA%20BEhAQ4DBk4YeZUmABEiABEiABGpHgMFT7YqcGSYBEiABEiABEtAQYPCkoUdZEiABEiABEiCB2hFg%208FS7ImeGSYAESIAESIAENAQYPGnoUZYESIAESIAESKB2BBg81a7ImWESIAESIAESIAENAQZPGnqU%20JQESIAESIAESqB0BBk+1K3JmmARIgARIgARIQEOAwZOGHmVJgARIgARIgARqR4DBU+2KnBkmARIg%20ARIgARLQEOCLgTX0MsviDY6ZZShAAiRAAiRAAs0JLF26lHgKJsDgqVDgfP11obhrYIw1qoBCJuQC%20INOEMwHWT2d0GkFO22noUZYESIAESIAESKB2BBg81a7ImWESIAESIAESIAENAQZPGnqUJQESIAES%20IAESqB0BBk+1K3JmmARIgARIgARIQEOAwZOGHmVJgARIgARIgARqR4DBU+2KnBkmARIgARIgARLQ%20EGDwpKFHWRIgARIgARIggdoRYPBUuyJnhkmABEiABEiABDQEGDxp6FGWBEiABEiABEigdgQYPNWu%20yJlhEiABEiABEiABDQEGTxp6lCUBEiABEiABEqgdAQZPtStyZpgESIAESIAESEBDgMGThh5lSYAE%20SIAESIAEakeAwVPtipwZJgESIAESIAES0BBg8KShR1kSIAESIAESIIHaEWDwVLsir3SG77vvvqOP%20PrpDhw4mF6+//nrv3r0333zzSueLzpMACZAACVSIAIOnChVWSV0dN27cAQccgIAGB84TvMS3kgzH%20zjvvnDU/iJxmzpx5ySWXZBVkeu8EHn/8cVPoiFxRNHETuIivUNaIbm+55ZZIAkS9iIM7d+4sCS69%209NK4BqQZM2aMpEFi/Os9I1TYkMB1112HQmlYrPbvFpQaGnKkOaepGxCEfgiicJM7DTGXRieSyS8r%20c6DysHxJIC8CS3kUSAClWKC1Qk2tttpqyF2vXr0SrEoaHP/4xz+cnRMlzuJtJhgEBYoPpYCyHj58%20uCnTa6+91maLf+Hb7373O1y89957cW4neO211wYOHAhZaIAeqRVHHXWUrUHS4Jg3bx7O999/f5zj%20pPgSDAK5+GyKRRQuCkJKBAXXzA0kk4I79dRT7WRp6gb0o+hFCp9SDRLym0YnxFFPpE6aA1dCYSzS%20bq3qZ5Fgk23xJlRoWbRxLUeHJR1u5CZq+OK69LbJHWXL8hBDLZPVJEEQFIhjJCrCgWhG7rW4BRrm%20uIh/7WBI7pfmZgZxXDGREP6NR9Vnn302LhoRnMituviSDQK5+GzaFqVMmwVPEvHgiP8Kalk3JJK+%20+eab7Z4BV1DczbLcUqcIwueEaC8sz1yt17B+5sozpXLehFKC8pOsjWs5YhrpcDE80BAWIie5HTJ4%208lOZPtcSpEbF73MSFptblxS0fYOUW6YJfeIapPKY6xJ+ReqSxM3FDz4FgeyxkjiokhJsGIvIOFDD%20yAmGWtYNREJxnriSMGjdUifsyrCTQ07bQKSG9bMMpcY1T/KLl4cHAt/97nfRfz3yyCPxpRK4giUO%20W2+9dUMz9oIGrKSZP3++ncz+Nr7wRZaQx1dQYSGFLKrAJ865XMZDAX+h4qSTTopoA2Rc6dSpk1yf%20MmUKPrt162aSDR48GOeTJk2SK3ENPXr0wPVVVllFEsyaNeuNN94wM3pycejQoficPn26x7xQVVYC%20hx12GIrm4osv3mSTTeKyLevGm2++GZdCWIzoBy29oTMtdULqnHPOgQasscM6p0gHkjWDTE8CaQgw%20eEpDiWnSEhg9ejSSnnHGGREBXDnkkEMaakGPuc8++4wcORI/JjBWgfvrTjvtZGIdfLvDDjtgVSnG%20G9A5PvzwwwjOjB58e+utt8aXkKMPxf37jjvugM6f/OQnJ598MqIrxk9pS9EpHQIdczeVMorfXFGC%20yaUwbNgwMf7kk0/ic8CAAXFfnnjiCScHKeSBABb+o3BR1viRk16dXTdEqmGc9Pbbb7vpRKVCwITB%20MPh25plnwlzD5w/SK2dKEmhJgMFTS0RMkIHAqFGj0IXdfvvt9o8/nM+dO7dZb4vIBiHXLrvsAjP4%20xMwObrFTp04Vq4irtthiC/zMXX311Xv27GmGLuRb3J7Hjh0b8Q/jTOhDkRLp8dURRxyBKSFcueKK%20KzLkhEmzEED5StyMI/kRraeffrqh4gULFmD4QYoMx4wZM5rZf/TRR7O4xrQ+CUycOBHq8PMGAzxm%20ZDf+KKVt0q4buC5FjC5C41ZEJzqH2267bcmSJeg6ZP73yCOPTPMQn8YHytacAIOnmlcAz9lHLyZB%20EkbRjWqcY/inoSX8AEU3ahabI826666Lz2nTpuETnTJ6Q3vICj1vZConrnbChAlYK2Nuw0hw4okn%204vOss87ynFuq+5wAHmtHxByfW0mPB+E1lCBETi/ClEEIYDQXdhGm7LfffohgsCgK57vuumuz+Cle%20N9AYUVvwk0kGh1D0iHIkljLTvslZS6hvaPWoRbKeHSY4fxekktTEKIOnmhR0cdmUSAVTadJzYUQd%20He6IESMaeiDjEJtuuqnZmgU/GXEF/TI+//rXv+Kze/futqwsr2l2IBpDvIUYzk6ALhWdKRZqJA+K%20FMeojSyhfMePH3/55Zdr8oThRtzz7HhXo42y+RFAI4Lyiy66SOZksZRNQt5jjjkmbrRh3UAp3333%203fi9hJaO6Xj8spKFbmihDRdRRdSmqW/w6le/+hUEuTwuv5pAzQyeWAc8E0DnKA/UyNQbJsvwbySa%20MSZfeOEFnMefn5LgyeGHY7NlE5j785xPqvucwOmnn37CCSfYtz1ZG97siH+LgQTcRCOzurI2vOGR%208BXLpBgCdnNGwckmFPHWGq8b4h5qC2bZsB4Ro1aIvWT9U8pFVM10RjKOyXpceeutt4oBQis1JMDg%20qYaFnnuWf/jDH8IGpsnwMxGTaFgI1cyk/OjEo1V+fXrooYcaKuzatatfQzXXhrhnyJAh8dueTK3a%20a8PlzhqfcsWNEwvA4xN2MnsbuflhXRQuylc8ghAwe6La1uWXSeR3S7O6EXEbFQCj1FArI9bJR0qd%20osReDNBKMb8ngcwEGDxlRkaBlgQwuoBVRxjhP/DAA7G2NGE6ZtCgQdAmq1DtA70k/t1ss83wiefp%20Wlo0CWBaZugij/PgRo47NyeG0pNsmVLKqOGAgQw92jHxM888gyty3Rwoo8mTJ8eX/COBPHYnK2zM%20gWctzVct3WOCPAhIccenvyOTbgl1w/YKrRIbH+BKmknblDqNfvyCarZaIA8y1Fk3Agye6lbieeU3%208gg6pnJgCetAsflTgkkM4COmwZNx9gZO6CVlOu9b3/oWPvHD1I6EWu44cMopp0DKflYZwx542i6+%20gUJeLGqgF2WEEaNI5IRClKzLQ5eyZE0OnOOKPQaJMsWS3kjkhFKTssbEEBZCodTMZJAUIi42mwKu%20AfXwWZTmfOGFFxpX0B7RzKXRyZFcN2xB/LiSMm05Z5dSp1GOioTH7vhjKXyNaWMPyrBTZ318QEVq%20y8xi02FkLbIRsLxnys6vGXiw3+ogGxZD3LzpzH6FmXn1B97ugodo8K95o5YoEdM4zHs85J1ouCKv%20EMF1/AvTbUk+SI2S99bZLxGTl9zZ706RNPKuHnn7iv3eHil0lIutBCVrbylu3m0nW3zJe+6K3148%201DbuAasrIMucV8NXpsjm43bjssslTd1AacrLmlAH4m9zkr3C8ZXZob6lTulY4Bg8xyEv/wkIsGDT%20QTqBgvNYQnPteS8vIWhxqS1reeSnhf2ODtMzyts57MOOq3Arlc5aXogWuUGiT5ToCmkkJdJI5CT9%20uDmMaXnhmkjJa2FKWyWUjhVfo3BLixSl+TfypjOklEgXN1f7RR+4OzZcOmNuyYaJ/eI8RGZBIqd2%20bbbNKl6kTTWsYIhOpGQlYjblkqZuiH5UCdnRLe6GVA+JlWXj3Jb1zbylGCkRSNnvBVK2r0qIF98J%20VAJL3k52kK6BRzEE8EA+gReDuiZWWKMKKGhCLgByxARmA/FWAFnlxiOZAOtnkBrCNU9BsNMoCZAA%20CZBAUwLYkuAXv/gFAZFAaQlwIKTQouFPhEJx18AYa1QBhUzIBUA2JvBkADa37NevX/KGYUW6VHJb%20rJ9BCojBU6HYWcsLxV0DY6xRBRQyIRcAmSacCbB+OqPTCHLaTkOPsiRAAiRAAiRAArUjwOCpdkXO%20DJMACZAACZAACWgIMHjS0KMsCZAACZAACZBA7QgweKpdkTPDJEACJEACJEACGgIMnjT0KEsCJEAC%20JEACJFA7AgyealfkzDAJkAAJkAAJkICGAIMnDT3KkgAJkAAJkAAJ1I4Ag6faFTkzTAIkQAIkQAIk%20oCHA4ElDj7IkQAIkQAIkQAK1I8DgqXZFzgyTAAmQAAmQAAloCDB40tCjLAmQAAmQAAmQQO0IMHiq%20XZEzwyRAAiRAAiRAAhoCfDGwhl5mWbzBMbMMBUiABEiABEigOYGlS5cST8EEGDwVCpyvvy4Udw2M%20sUYVUMiEXABkmnAmwPrpjE4jyGk7DT3KkgAJkAAJkAAJ1I4Ag6faFTkzTAIkQAIkQAIkoCHA4ElD%20j7IkQAIkQAIkQAK1I8DgqXZFzgyTAAmQAAmQAAloCDB40tCjLAmQAAmQAAmQQO0IMHiqXZEzwyRA%20AiRAAiRAAhoCDJ409ChLAiRAAiRAAiRQOwIMnmpX5MwwCZAACZAACZCAhgCDJw09ypIACZAACZAA%20CdSOAIOn2hU5M0wCJEACJEACJKAhwOBJQ4+yJEACJEACJEACtSPA4Kl2Rc4MkwAJkAAJkAAJaAgw%20eNLQoywJkAAJkAAJkEDtCDB4ql2RM8MkQAIkQAIkQAIaAgyeNPQoSwIkQAIkQAIkUDsCDJ5qV+TM%20MAmQAAmQAAmQgIYAgycNPcq2JnDddddtvvnmHT4/DjjggPu+OFpLMkWJCTz++OMoTSlWlC9KNe4s%20LkrR9+7d+5ZbbokkeP31148++ujOnTtLgksvvbRhdlF/xIqxVWIq7eMasKNQGharZBLf2uVily9K%201tQNnKCqxLmMGzfOaGiWphlNeAXTcd80Otun5JiTwggs5VEgARRrgdbCmzr11FNXW221a6+9VlzB%20Sa9evQDh3nvvDe9cW3gQpEb94x//QLGiKIcPH44T6axMKZuyxsXf/e53+BfFHUnw2muvDRw4ELLQ%20IFUCx1FHHRUvEyRDGnPcfPPNxZdbEMjFZ1MsonBREFIizdopytoul/333994KyULDWeffTZOoASl%20jIt2dqRbEOX4Conx77x589JkGekb9iEanWnsljlNrepneQqiXvfy4NxrVcvRGyK/6ENt7NL3MXjy%20VRWD1CjcLCUqMjc/uUfad1D8awdDkRskxHHF3FPxr9ytcee2yeAmHak/vrhl0hMEciYPvSeW+KlZ%20O0VUFImHjAMIYuxCRNQbiZulW4iE2rgCwTS5QDKJyWzflDrT2C1zmhrWzzIUB6ftpNPm4Z/A4sWL%20oXTddde1Va+++upnnHGGf2PUWCCBAQMGHHHEEWIQBXrxxRcjIH7jjTfMTMoVV1yBf3fbbTfj1He/%20+11cwXW58tZbb0EKsvIvtMnd+vbbb7fzcdppp40YMaLAnNHUvwn06NGjGQuZiDdlF0l2/PHHb7LJ%20JubiMcccI8Vtrki3EDmk/rSkjwqGOGnfffeNpNTobGmUCUigIQEGT6wY+RIYP3481kDYNrbYYouI%20SXsBDRZAzJ8/306AHjNhCUVENmGVRr75rJP2k046KZJdrF/BlU6dOsn1KVOm4LNbt24m2eDBg3E+%20adIkuRLXIHfrVVZZxYjgJo075U477YSlUSzW8tQvRLSXXHLJzjvvjGVqkaYNJyNB1cKFC3Fx2LBh%20xv+NNtoI51BiZNHeUdAIr5PziPQ//vGPzzzzzHgyZ53loUpPqkegDMNf9fEB9aM+mUVOzaKHyCi9%20DQGD/PjdKWtZ8AlE+NdMCkDQLI9ASnxrL4+Q9DKFhP5XzCXYaj/4JalRsnTJ4JV+MEJbLjab7sH0%20HL61F75gLMosh8JX9jRfweVYEshF5lqKIz5thysyEyeHaZsNfZM5ejPDa0/tSTNHi5Y1UmnaLCbs%20RFVD3/Ctg84ikeZnq4b1Mz+Y6TXX616enktOKetWy9E5SkCDA31uwyUUuG6va5FOUHpJdKzone1v%20ZYWyLKqQb+2FNbL0Ib5ANafSLIPaktQo3AhNMcny8GbBU7NlNChHFG4cKUoZmmVZesMEBZRCSSAX%20kFNjolnwZBLYUVTDMsUPG7T9ZqujzJp0lGlkoVvDbIo5+aqZb1l1FskzV1s1rJ+58kypnMFTSlB+%20ktWzlpubn9z/7NEFGUyye09ZOywdpZw3ewwHv1bxbeTxK+lA4z92/ZRf+bSUoUbJs1f2bTVr8IQi%20Tn7eKuywYhkgF1z1WgZP4o+0UHvQUa7bo1MywhT3P/kpSzu9jE6ZfiDBt/Q6C+aZq7ka1s9ceaZU%20zjVP0s/zyJEAFrg88sgjZkUw+kGz9cvTTz8Nw5tuuqnZM+bII4/Elblz5+Jz2rRp+OzZs2dD5264%204QZc/9rXvmZ/K4tVRZBHAQSwEgXL2i6//HKNLQw3Yv14s4KWOiAmpNB5lIQAVvrj0UuENZHNnG67%207TZEPLI1Cb49+eSTbYdRZ7DkHA+OYDwJQTNWUGFZW0KOzj333MMOOyyhekA2q86SAKQb1SXA4Km6%20ZVclz9Hx4e6IvhKREx6r2WeffcT7F154AZ/xdTASPCUfb775ZjxBv379Wsnxe58ETj/99BNOOMF+%20wErWhjc74t9iYTi2ysQzAcluwQTGMxoWus/8UFdGAj/84Q8h8fbbb0fksHIcZTpr1iyER3iI0n4K%205MADD0TwhG9RGe6++270CYifsMVlQ8t4VuDRRx81T3c28y6TzoxZZHISaECAwROrRV4EZC9xWzv6%20SvwklQka+UqerkIPm+BE8pNWs2fPjssm/0jNK8P104u4Z8iQIfG4R2ZP7Eex5N5pLwAXWhixeOKJ%20JxBYp4E3dOjQNMmYpkgCybEyQigZcjbRFUocsZR5tg4xMZ7BRJ8wYcKEhm5jgArp7d3MZRxr2223%20NfuMZ9VZJB/aalcCDJ7atWRLka9bb7014of8HjUXBw0ahPOJEydGkuGujCtys7zmmmvsb3FLlm/3%202msvfOKXq/3tP//5T/yLO3op8t/WTkgpNBwxwlQOvrJj4meeeQZX5Lo5cM+bPHny2LFjU3J67LHH%20DjnkkJSJmawYAihExMQJIRR+ICE2MmOTka284CR+6iDAkqc94gdKHIuc7EMWVMkm5l27dsV5Vp3F%20kKGVNieQcm0Uk3khgMrkRU8llMiChvhaUXkvh5mqk9EI+0F0s6+06U/Nk8z20lF52g6y8efbK8HH%20i5OhahRKJL4ltHnyURaAJ+wwjryjYsSfnsMC5GbPXsmTm16gZVUSCnJWPz2mT7lgHBYRECe/MwcJ%207Adm5RmRyMbxzZ61bJijuG96nR7RFa+qhvWzeMhxizW6l5cCd82CJ7Rq3ERxR5T4Bp8yhm9v6yIv%20SpOUsl2Q/XizdJQ45F1aEVl54M48iQNDyRvPlKEO+PUhSL8p2O1XzskWEnY4JWmkoOWZrHihR95b%20J0UvfEREFiPjX9yeYaLZHlF+kTboJevUbJF9cJa2Fn83DkoZhxSlNOfIFk34FuUoF+W9dfab74St%20/Ugs0kizNUEz1EIDrjSLyRoGdsk6864hYfUH6QTCZrkM1hk8FVoKtarlGHlC94c+EfdUs9gFPWl8%20VxgZhJD4Kb4XIvpWETd7adplJtvJSIAF5Wn2jCm0yHM2VnyNko1JGx4R+EgpBYcCiryJTMLl+GG/%20Ms887g7xsHtPFA8551qTpN78XDGlY6eWTWtNU403N9mnTQ6UYLPdL2HF7hNsPTJsKXtENXS02ahY%20gs6APAswXav6WQDPlCY6IF2zrpDXvRPACkcC9061zgpZowoofUIuAHLEBJY24g0wDz/8cPGmK2eR%209TNIkXHBeBDsNEoCJEACJNCUALbA+MUvfkFAJFBaAhwIKbRo+BOhUNw1MMYaVUAhE3IBkI0J7Gox%20ffp0bNiWvAlCkS6V3BbrZ5ACYvBUKHbW8kJx18AYa1QBhUzIBUCmCWcCrJ/O6DSCnLbT0KMsCZAA%20CZAACZBA7QgweKpdkTPDJEACJEACJEACGgIMnjT0KEsCJEACJEACJFA7AgyealfkzDAJkAAJkAAJ%20kICGAIMnDT3KkgAJkAAJkAAJ1I4Ag6faFTkzTAIkQAIkQAIkoCHA4ElDj7IkQAIkQAIkQAK1I8Dg%20qXZFzgyTAAmQAAmQAAloCDB40tCjLAmQAAmQAAmQQO0IMHiqXZEzwyRAAiRAAiRAAhoCDJ409ChL%20AiRAAiRAAiRQOwIMnmpX5MwwCZAACZAACZCAhgBfDKyhl1kWb3DMLEMBEiABEiABEmhOYOnSpcRT%20MAEGTwUDpzkSIAESIAESIIFqE+C0XbXLj96TAAmQAAmQAAkUTIDBU8HAaY4ESIAESIAESKDaBBg8%20Vbv86D0JkAAJkAAJkEDBBBg8FQyc5kiABEiABEiABKpNgMFTtcuP3pMACZAACZAACRRMgMFTwcBp%20jgRIgARIgARIoNoEGDxVu/zoPQmQAAmQAAmQQMEEGDwVDJzmSIAESIAESIAEqk3g/wfd99u6hmhz%20dAAAAABJRU5ErkJggg==" height="610" width="788" overflow="visible"> </image>
            </svg>
          </div>
        </div>
        <div class="fig"><span class="labelfig">FIGURA 3.&nbsp; </span><span class="textfig">Estudio de las precipitaciones en el 
          escenario climático RCP 4.5 para el período 2020-2050 en Ceiba Mocha y 
          clasificación de los años hidrológicos.</span></div>
      </article>
      <article class="section"><a id="id0xbc50e00"><!-- named anchor --></a>
        <h4>Comportamiento de la Evapotranspiración de Referencia (ET<sub>0)</sub> en la serie 2020-2050</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <p> Un elemento a tener en consideración para la definición de las 
          necesidades hídricas de un cultivo es la evapotranspiración de 
          referencia (ET<sub>0</sub>), en la <span class="tooltip"><a href="#f4">Figura 4</a></span> aparece como se comportó dicho parámetro, es decir, la ET<sub>0</sub> real regionalizada estimada a futuro según <span class="tooltip"><a href="#B20">Solano-Ojeda et al. (2003)</a><span class="tooltip-content">Solano-Ojeda,
          O., Montenegro-Vázquez, R., Martín-Menéndez, J. G., &amp; 
          Menéndez-García, C. (2003). Estudio de la evapotranspiración de 
          referencia en cuba. <i>Revista Cubana de Meteorología</i>, <i>10</i>(1), ISSN: 2664-0880.</span></span> y la calculada a través del programa <i>CropWat</i>)
          durante la serie de estudio 2020-2050 para la región de “Ceiba Mocha”, 
          Matanzas. Puede observarse que presentan similar comportamiento y aun no
          definiendo la línea de tendencia, se prevé que en los próximos años 
          exista un aumento en los valores de la misma. </p>
        <div id="f4" class="fig">
          <div class="zoom">
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AAIgAAIg%20AAIgAAIg4BkB83qKyE1UtmzZy5cviwa5WD5He4TIfCpUqFBiYiLPz81E8Qn/l7xJJ0+epDckvEiR%20IvRGscTOM3jIDQIgAAIgAAIgAAIgAAIgYBoCQegpGjp0KFlEDhfFKbDT2jnuUKpVq5ZsQZERxW2k%20gwcP8s/JBOJvYmJi+Ps9e/aYphOhCAiAAAiAAAiAAAiAAAiAgB8ImHT5HJkxPCjC5MmT3VI5e/Ys%20z0O7gyi+HIWeIxuRthKJ6HNXr17lGapVqyakkV3kVjIygAAIgAAIgAAIgAAIgAAIBD0BkxpFAwcO%20JPRNmjSJjY1V3wfr1q2jgnzF3fz58ylIg31UbntpFMhbfRXICQIgAAIgAAIgAAIgAAIgEGQEzGgU%20rVq1au3atQR6yJAhHuFWRGWgf2kNnkcSkBkEQAAEQAAEQAAEQAAEQCDUCJgx0AKPmkAB4qZMmUL9%204Xa/FLl66tWrx3uOl1KcbiQyyAcT0Zmw3PTasmVL3bp1VXa8wzNkjx07prI4soEACIAACIAACIAA%20CIBAABEoV65cAGnr1nBw1hbTeYpoUxB3+PTv39+LDuB2FG0ooqV3vLgBq+PKly/vhaooAgIgAAIg%20AAIgAAIgAAImJ3D8+HGTa6iJeqbzFAkHjsPmkamzZs0axVfCESR/S8YV35hEjiB65a4kh54iF5G+%201SDm9qiPQhxWRDJPnDhB8ik0uRpN1OeBZJkVaMg0MjIyKGx9eHg4OWzVjyg1OSEZnJ2NE4yNQB8b%206enp9DQzIiJCTcBYNbcLkQeSZVygARrOLh/9xgbVyC2iAHIWBY+nyKPbJc9cvHhx/sZZWIXo6Gie%20Yd++fUK+mhgMXiiDIiAAAiAAAiAAAiAAAiAAAoFFwHTL57zAR5G46ZBWKkiHDglTZ8OGDVwUWURV%20qlTh78WpRJSNvxcnF3lRL4qAAAiAAAiAAAiAAAiAAAgEAQHTGUW0Oo6WM8lJUKYP7dfO8W9pExF/%20Q+HmyOChBXU8iAIZS9wi6tChA72Sf59iMPBsPH/jxo2DoBfRBBAAARAAARAAARAAARAAAa8JmM4o%20UtMS2ndE6wXlQHCdOnXiBenI1yJFiohgdG+//Tb/vHXr1vxNXFwcFeQnw1Lq3r27mhqRBwRAAARA%20AARAAARAAARAIFgJBKRRZN8ZFFObgigoPqelccLmIVcSRetWZKAitPQuWLsW7QIBEAABEAABEAAB%20EAABEFBDIEiMImrqgAEDVq5cyfcI0aq5QYMG0Vq7mJgYQYGidZMVxGPj0Gt8fDwVUcMIeUAABEAA%20BEAABEAABEAABIKYQAAYRWJ/kegGse9I0TGxsbG7d++m/ImJiaNHj5YtIp6TrCAKN0wZ6FVsQwri%203kXTQAAEQAAEQAAEQAAEQAAE3BIIAKPIbRuQAQRAAARAAARAAARAAARAAAS8JgCjyGt0KAgCIAAC%20IAACIAACIAACIBAMBGAUBUMvog0gAAIgAAIgAAIgAAIgAAJeE4BR5DU6FAQBEAABEAABEAABEAAB%20EAgGAjCKgqEX0QYQAAEQAAEQAAEQAAEQAAGvCcAo8hodCoIACIAACIAACIAACIAACAQDARhFwdCL%20aAMIgAAIgAAIgAAIgAAIgIDXBGAUeY0OBUEABEAABEAABEAABEAABIKBAIyiYOhFtAEEQAAEQAAE%20QAAEQAAEQMBrAjCKvEaHgiAAAiAAAiAAAiAAAiAAAsFAAEZRMPQi2gACIAACIAACpiWQZkl3+2da%205aEYCIBAiBCAURQiHY1mggAIgAAIgIAfCLT4eXTksnZu/3oc+MwPyqFKEAABEMgiAKMIYwEEQAAE%20QAAEQEAXApdTr608v+e2aIvLP7bo7M+6aAChIAACIKCOAIwidZyQCwRAAARAAARAwDsCGans/FKn%20fxdXeScVpUAABEBAQwIwijSECVEgAAIgAAIgAAIgAAIgAAKBRwBGUeD1GTQGARAAARAAARAAARAA%20ARDQkACMIg1hQhQIgAAIgAAIgAAIgAAIgEDgEYBRFHh9Bo1BAARAAARAAARAAARAAAQ0JACjSEOY%20EAUCIAACIAACIAACIAACIBB4BGAUBV6fQWMQAAEQAAEQAAEQAAEQAAENCcAo0hAmRIEACIAACIAA%20CIAACIAACAQeARhFgddn0BgEQAAEQAAEQAAEQAAEQEBDAjCKNIQJUSAAAiAAAiAAAiAAAiAAAoFH%20AEZR4PUZNAYBEAABEAABEAABEAABENCQAIwiDWFCFAiAAAiAAAiAAAiAAAiAQOARgFEUeH0GjUEA%20BEAABEAABEAABEAABDQkAKNIQ5gQBQIgAAIgAAIgAAIgAAIgEHgEYBQFXp9BYxAAARAAARAAARAA%20ARAAAQ0JwCjSECZEgQAIgAAIgAAIgAAIgAAIBB4BGEWB12fQGARAAARAAARAAARAAARAQEMCMIo0%20hAlRIAACIAACIAACIAACIAACgUcARlHg9Rk0BgEQAAEQAAEQAAEQAAEQ0JBAABhFTZs2Dbud1Dfb%20WZEJEyaUKVOGRNHrvHnz1AtEThAAARAAARAAARAAARAAgWAlYHajiEyXtWvXekTfWZE+ffoMHDjw%201KlTJI1e4+LiyEbySDIygwAIgAAIgAAIgAAIgAAIBB8BUxtFCQkJQ4YM8Qi6syJkKU2dOlUhimyk%2006dPeyQfmUEABEAABEAABEAABEAABIKMgKmNopkzZ3LHjvrkrMiSJUu4kPj4eIvF0rt3b/4v5Vcv%20HDlBAARAAARAAARAAARAAASCj4B5jSLy+YwbN84j4i6KzJ8/n0SVLl26Y8eO9GbkyJFc8rp16zyq%20AplBAARAAARAAARAAARAAASCjIB5jaKhQ4devnyZzBj1xJ0VOXjwIBdSo0YN/iYmJoa/37Nnj3r5%20yAkCIAACIAACIAACIAACgUUgNSPd7V9gtUgPbU1qFJEZw7cATZ48WWWzXRS5evUqF1KtWjUhjewi%20lZKRDQRAAARAAARAAARAAAQCkUDTHe/lXN7O7d9LB5V77wOxsb7obFKjiEIgUKuaNGkSGxursnle%20FOGSt27dqrIKZAMBEAABEAABEAABEACBQCFwIfnK2gv7b2ub4fKPLTm3M1AapZOeZjSKVq1axcNw%20qw8950UR74Cm2iUuh4I36JH0Ew7Jcn+BBmg4u34xNjA2MDbc/rq5vkzU/9raV6TfBUh16SccknHf%20MNV947ZBlMzOL3P6dzHz8BuHaqu/hAM9Z5i4L7hoiTg4VU1m34nQyaoUdI4CxE2ZMoWkqanddRHy%20BdWrV49EjR8/fsCAAVxDOuCVm15btmypW7euSrWdnSF77NgxlRKQDQRAAARAAARChEBS+s2ax99l%20Gans4kqnTQ6PZEWb54/Is7vcuyGCBc0EAcMIJKRdq3NipNUourja+TWYixVtFpMj3/ayQ53lKVeu%20nGE6+1iRGsPBYRWm8xTRgao8DHf//v1VQvGiiErJ9tki7RLPQx2gR9JPOCTL/QUaoOHs+sXYwNjA%202FDz6+biSlH/g+uwIlyDuAZxDZrhGlR/IQduTtN5ioQDxyFT2mW0Zs0axVdui9AyPBeeIh/dX9we%209VGIw8aSzBMnTpD8smXLajvCIFnmCRoyjYyMjJMnT4aHh5P3VdtRB8ng7GxEYWwE+thIT0+np5kR%20ERH2AWMvp14rvKqLGk9Roch8ibGzFYPEhWQfb1CQLAMEjSCmQXuK7ljznBpPUbFcBc43nWV/ZR0/%20fpw+hKfIx3uOWYpHR0dzVfbt2yd0okONzKIf9AABEAABEAABEAABEAABEPAfAdMtn9MDRZUqVbhY%20cSoRWUT8vTi5SI96IRMEQAAEQAAEQAAEQAAEQMD8BExnFNHqOEXsCwGRPrdfO0ffqinSoUMHykn+%20/Xnz5tEbOuaVi23cuLH5OwkaggAIgAAIgAAIgAAIgAAI6EfAdEaRmqbSJiK+50xNZp6ndevW/E1c%20XBwV5CfDUurevbt6IcgJAiAAAiAAAiAAAiAAAiAQfAQC0ijyohs6duxIMb4VBSlCd6lSpbyQhiIg%20AAIgAAIgAAIgAAIgAAJBQyBUjCLqMDr1iKwgHhuHXuPj48WZRUHTnWgICIAACIAACIAACIAACICA%20pwQCwCgSW4xE28QmImettS/Cc5IVROGG6Vt6Jd+Rp7CQHwRAAARAAARAAARAAARAIPgIBIBRFHzQ%200SIQAAEQAAEQAAEQAAEQAAHzEIBRZJ6+gCYgAAIgAAIgAAIgAAIgAAJ+IACjyA/QUSUIgAAIgAAI%20gAAIgEAgEkjNSHf7F4jtgs4wijAGQAAEQAAEQAAEQAAEQMA9gWY73su5vJ3bvxcPZB794l4icpiG%20AIwi03QFFAEBEAABEAABEAABEDArgYspSWsu7L+tXYbLP7bk3M9mbQT0ckoARhEGBwiAAAiAAAiA%20AAiAAAioI5CRzM4vc/p3ca06KchlOgIwikzXJVAIBEAABEAABEAABEAABEDASAIwioykjbpAAARA%20AARAAARAAARAAARMRwBGkem6BAqBAAiAAAiAAAiAAAiAAAgYSQBGkZG0URcIgAAIgAAIgAAIgAAI%20gIDpCMAoMl2XQCEQAAEQAAEQAAEQAAEQAAEjCcAoMpI26gIBEAABEAABEAABEAABEDAdARhFpusS%20KAQCIAACIAACIAACIAACIGAkARhFRtJGXSAAAiAAAiAAAiAAAiAAAqYjAKPIdF0ChUAABEAABEAA%20BEAABEAABIwkAKPISNqoCwRAAARAAARAAARAQHcCqRnpbv90VwIVBBQBGEUB1V1QFgRAAARAAAQC%20nMCdVwK8AVDf9ARid4zMubyd278XD0wxfVOgoHEEYBQZxxo1gQAIgAAIgEDIEqj9O5v0Pds/ip0b%20wI4OY2/8wPKmhCwMNFxHApdSklZf2He7ggyXf2zxuZ066gHRgUYARlGg9Rj0BQEQAAEQAIFAI9Dk%20F7ZhktUQqvq3VfXy560G0vn+jCwlJBDQhUBGCju/zOnfxTW6VAqhgUwARlEg9x50BwEQAAEQAAHT%20E2i349yayQ78QvmS2bwZ7N4Ei+lbAAVBAASCnwCMouDvY7QQBEAABEAABPxFoNS/12d/dECuPTXC%209t99CWz+tPQc6bCL/NU/qBcEQCCTAIwiDAUQAAEQAAEQAAG9CEycdSR3Km3tyEyvd2A5p7BRsbbq%20av9uGT7vqF7VQy4IgAAIqCMAo0gdJ+QCARAAARAAARDwkECumbPa/HxOFJpbi33c0Prf0KfYl4/Z%20ZA35/lips1c9lI3sIAACIKAlARhFWtKELBAAARAAARAAgUwCGRm5R4wSNFY8xDp3t7F58Vn2Z4zt%2034FzD4EbCIAACPiRAIwiP8JH1SAAAiAAAiAQvAQ+/DD83/O8eenhrH+7bC2lT0a0sH3yzMbf2bZt%20wcsCLQMBEDA7ARhFZu8h6AcCIAACIAACAUngww+F2mObsmN3KBvxVR22uZz04bRpAdlMKA0CIBAU%20BGAUBUU3ohEgAAIgAAIgYCoCH33E/vmHa3QrMvyjJx0rN7GR9Pns2eyPP0zVCCgDAiAQOgRgFIVO%20X6OlIAACIAACIGAUgSlTRE0ftrw/IcpxvbTR6MDdYbbv4Cwyqn9QDwiAgIIAjCIMCRAAARAAARAA%20AU0JLFvGTpzgEtPDwz5qWcqF9GkNpKkIGUVpaZqqAmEgAAIgoIoAjCJVmJAJBEAABEAABEBALYFZ%20s0TOWQ3vuVAgp2uj6GKBXJkZLl9m8fFqa0E+EAABENCOAIwi7VhCEgiAAAiYnkBKRprbP7M1wq3C%20lMFsOoe0PqdPs8WLZaPINQ0LY181vMeWB0ZRSI8eNB4E/EYARpHf0KNiEAABEDCYQKudY3Itf8bt%2033P7JhusmIvqWu4c7VZhyvD8/k/Mo3OoayK5idJq1dj6oHQakRM08fVL2r5ZvZr9+WeoM0T7QQAE%20DCcQAEZR06ZNw24n13ASEhL69OlTuHBhykmv9P40PazKniZMmFCmTBnKQK/z5s0znDYqBAEQAAG/%20EbiadnP5v7ut1VsyXP0xtujcz37TMnvFSWk3Vvy7R5XOZ82is0nQ+VMN6ec1peuzajQ5cH+B3Q8U%20seWEs0gNNeQBARDQlIDZjSIyXdauXeu2yWQRke00derUy7QcmTF6pfc1atSQ7SIykwYOHHjq1CnK%20QK9xcXFkI7mVjAwgAAIgEFQELGnswjKnfxdXmbGxgaizGTkaotOmTSLEAouMTHk2TmWtCxvcD6NI%20JStkAwEQ0IOAqY0iMnWGDBmiptmTJk3as+f200QpkWlEhhD/gIwrMpMUGchGsvcmqakOeUAABEAA%20BEAABBwQ+O4724fPPGPJm1clpYUN7rPlPHSI7dunsiCygQAIgIAmBExtFM2cOZM7dtwmYfBs2bLF%20YrHQKy9CXiZu9ixZsoR/Eh8fTxl69+7N/6Uq3ApHBhAAARAAARAAAVUEvv/elq19e1VFbmdKoAB0%20Tz1ly5/1q61eAnKCAAiAgC8EzGsUkZto3Lhxatq2detWvmquQ4cOdevWpTf0Ksyes2fP0ifz58+n%2019KlS3fs2JHejBw5kktet26dmiqQBwRAAARAAARAwA0BCjp36VJmnmLFshk5ati1bg2jSA0n5AEB%20ENCDgHmNoqFDh5KpQ2aM22afOXOG56lWrZrIfN9994n3Bw8e5O9plxF/ExMTw9/bL7pzWx0ygAAI%20gAAIgAAIOCCwcKHtQ0/cRJmlZE/R4cMs67cbqEEABDQkUPAm++prNm4xK2l1KCDZCJjUKCIzhq+I%20mzzZfWRYcv7QijhKAwYMEC37PsuDHx0dffXqVf65bDWRXYSBAAIgAAIgAAIgoA0Bi4UtXWoT9cwz%20HostVIi1aGErhRV0HhNEARBwT2DDJPbcdjZwDZs6133mkMphUqOIQiBQNzRp0iQ2NtaL/iCbiruA%20yNFUpUoV1xJo9Z0XVaAICIAACIAACICAIBD1ww/s2rXMf+++m9Wv7w0c2Vkkm1jeyEIZEAABJYEB%20a9nDf2V+WOkf8MlGwIxG0apVq3gYbpWh5xRdSpuRnn76af7hiy++qG2Hp9glLp+7qjRP+gmHZLmz%20QAM0nF28QTY21N8PHQLxC41A1NnH3wK/cPZFZ65wXjKKRHrqKSHQsx6UjaL9+3l0b190c1E24DhT%20W6Czyl8rz0ad3ShxwVk/yT6OczU635PIRi6ztWBNRWVrXNz51Tc8cHOGiWvMRRvEwalqMvvOgk5W%20paBzFClhypQpJM3T2mvWrCncRDt37qRlcuQLqlevHokaP368WGJH5xpx04tC1fHwDGqSszNkjx07%20pqY48oAACICAvwhcz0iudmwYs575s8KpDmE5WLEWUeG59pV/z196yvVey0iurk7nfOG59ppDZzNw%2084sOpWvVirhyhVd9ZtasG48+Sm+S0m/WPP4uy0hlF1c61So8khVtnj8iz+5y71Keks89l3fHDp75%204uDBl7t29UtzUGngEricfv2R4++xjBTm4uC18JysaGyhiKifyw1T39LE9OuPWiUns4urnY/nXKxo%20s8IRUTs8kaxeB09zJqRdq3NiJNf561msa+a1xf7Ly8qOZJfy3ZYXbtU5Jke+7WWHOpNfrlw5T6v2%20V35PDQehp+k8RXSgKg/D3b9/fy9o0sFE3CIqVKjQwoULNd84lNMucSWpA/RI+gmHZLm/QAM0nF2/%20QTY21N9UHQLxBw0fVQ7zh86+/hoEos5RmzcLiyitaNGbdeoICp524Y3HHxdFSGwg0oDOfv9N8XTU%20KS5aFz2on2TSIY1luP3z4teK69zsiM0ion+HtsqyiKQmubjzq2944OY0nadIOHAcMqVdRmvWrHGG%20mywicWARnUfEo29Tcu0p8tH9xe1RH4U4bBHJPHHiBMkvW7astiMMkmWeoCHTyMjIOHnyZHh4ODls%20tR11kOx3zlfTbuZf2UmNpyg6R56k5soduH7pwaS0GwVWdlajc/4cea80/1YxaP2is48XTiDqnJ6e%20frVLl4Lx8Zltf+kl9vnn/P3l1GuFV3VR4ykqFJkvMXa2tczRo6xCBYHx5J49YQULqglF6xF50pme%20wEZEREAycQsyGpdSkoqu7qbGU1QkZ/6Lzb5WjBwXNC6mJBWzSnbvKSqaM/8FTySTDk13vLf2wn63%20w7jnvY2mV+2jXucLyVfuWPMc6bznjdXV/8wst60Mq/uWJOO2p6hYrgLnm86yV+D48eP0ITxFbrvG%20RBnmzZvn0CIiFSkAHVd0n3RCNm09MpH2UAUEQAAEQAAEApZAviyXjrUFLVv61I4HHmCVKwsJUT/9%205JM0FAaBQCBA5lamRWTJYC7+GFtybqcXDeq/9HdhEVFxchMh2RMw3fI57zrp9OnT5CbiZQcNGiR8%20RPwTEYBOnEpEFhF/L04u8q5elAIBEAABEACBECcQ9vPPOW6fk25N+fKx5s19BSIFnhUr6HyVifIg%20YH4C5IO6sMzp3yXrTngvUr5bae8stO5M4WlafbaxvBdigr+I6YwiWh2niH0hOoE+d7Z2jiwiOumV%20cpKRM3r0aPt+69ChA31IvnJyKNEbOhmW52ncuHHwdzJaCAIgAAIgAAK6EQhbtcom26uDNJSqyUbR%20li26KQ7BIBASBN5eeLzwtVTe1Gu52DC4iZx0u+mMIjXDk/Yd8a1gPDOdSsTjyFEi/49ilxg/hqh1%2069Y8Q1xcHGUQC+26d++upkbkAQEQAAEQAAEQcExANop8dxNRHXTGUZEivK6IxMTce/eCPAiAgHcE%20wv85+85Ca2h7nsY1ZRcy95R4Jy+YSwWkUaToEGERuegoWlBHMb4VGShCd6lSpYK5e9E2EAABEAAB%20ENCVwPHjYQcO2GrQxCgicdI6jrzOnUUpGWlu/3RtPYSDgMkJRL3/YXhG5glXZwpZjSIkZwSCwSja%20sGGDmg6mU4/ICuJxZuiVwtOJM4vUFEceEAABEAABEAABJYHV0oEtTz7JYmK0QdSkiZCTx4lR1Pzn%20UbmWP+P2r/v+T7VRCVJAIOAI/PJLns9nCK3JIkoPhom/Xt0QAGzsT8UW+444FfttSPKuJPlgVrKC%20KNwwfUuvimAMegGGXBAAARAAARAIYgLyORmabCjirCRPUe6DB9m5cwqEFOx71fnby+rcReta7FW0%20riDuMTQthAiMHSsa+0tx9tnjIdR0L5oaAEaRF61CERAAARAQBNyurqEMwAUCIODNlXLtGj2YtKFr%20qt3SnDvvZI88YpOctXNY2U0ZqS6jdUleLHQwCIQagW3b2Le209uwcM5t/8MocosIGUAABAKYQKud%20Y9yurqEM3fZNDuBGQnUQ8JlAC3VL0V5QLEWTLKIUOvFZOnTVZ40Yk1bQsXXrNBAIESDgNQHaqTFo%20UIGWT+/uv+l0781XXmPXXmW7xrJZs9jAtazFIa/l6lnw/feF9G0PFJpTW8+6gkI2jKKg6EY0AgRA%20wBGBa2m3lv+72/qNuwU2i87tMBVCb57Zm6oBUCagCPyXen2l2qVoP2drmWQU3WjQQONGy2dmrF+v%20sXCIAwE1BOgcl7ZtWXQ0+9//2NixOdf9UOPkf/efv5H/FotKZjX/YN12sHGL2PLP2P5RrKeposdv%203MiWLhVNHNcWccXc9zeMIveMkAMEQCCwCVjSXC2wuSgdsWKOdqr0bj0H75Y5+it4tLC4XIp20dFS%20NCnKgvZGUZ06IjA3u3SJbd8ePKjREnMTCEtOLvDVV6x8eTrIhS1ezGiZqLtU9W82fQ5bMpUVS8oM%209eauhM7fS26i9VWKrahRTOf6gkE8jKJg6EW0AQRAIGgIXE27qdq7lf2ZfdAgQEMChcCOHezsWa5s%20RnT0TbJhtE4WCmcnEpxFWuOFPIcEwsaNK12nTpHRo9nx454ieuoA2zM69dFjiZ4W1Dg/7cGTHlhM%20bFNGY/lBKg5GUZB2LJoFAiAQ0AQCzbsV0LChvJcEpFnXdTpuVYeUzSj64QcdaoBIEJAIfP89q1gx%20fMiQcHvX0L33sh49kr79qsYHj9837fHoyazIJFb/LfbSs2x6vWwM7060rBy5o+ZvF/1JduJEUXtK%20s8brqsJNpKo3YBSpwoRMIAACIAACIAAC2QhIG4qMMIq2bmWJ/n4AjxEQrASOHmWtWrH27dmvvyqb%202Ls3++479scfbMaM5HZt95Yu+GfRPNdysYQotqWM1SIiu6j6YLb8IVu5QtdSvx3+I9u/3z+0li9n%200hOEG2+86h81ArBWGEUB2GlQGQRAAARAAAT8S+Cvv9ju21FMbqfr9bI/LddKt5Ilkx980CYMK+i0%20AmsaOaYIKvPJJ6xSJUa2hJTSCxVi777Lzp9nU6awZ55xDWzfPazVy2xsM1uugtdS2LPPssuX/UBa%20chOxNm1S6tf1gw6BWSWMosDsN2gNAiAAAiAAAn4kIK2ds9Stmx4To5Mu1+WtSjCKdKLsJ7HNdryn%205siEngem6KTgvf9eY089xV59laWny1Vc7tbtL4rBPXw4K+bBwrNBrdlY+aQucjp16aKT5k7FLljA%20fvrJ9m3//kYrEMj1wSgK5N6D7iBgOAFTPNUzvNWoEARAQElAWjtn0fDMVjvQNx57zPYZthUF0UC8%20lJK05sLtBWbujkxYcm6nHu3u/NOZn/osY8uWZRPeokXGrl0XBw2i2CFeVDqoDfvsiQhbwZUr2dCh%20XsjxvsiECbayHTowHcKfeK+b6UvCKDJ9F0FBEDANgad2jlXzVK/bvo9NozIUAQEQ0IEAPVaXPEXZ%20TlnVurYbdepYcufOlPrnn+zgQa1rgDy/EshIcXVkwqU1Oin3wXfpcybtyXsrzSafhtnUqbSIzlKt%20mi+V9u2UY2WNO2wSRo1iFAvOkBS9aJG8qJW99ZYh1QZPJTCKgqcv0RIQ0JXA9fRby/7dZa3C3VO9%20hWcRKlrXroBwEPA3gVWrWHJyphKlSlkeflhXhbI5i7CCTlfWISC83Hm26QPWb3229XKsRQt2+DDr%201UsTAK/0rHKmWJRNVN++7Pp1TSS7FlJw+nRbhuefZ9WrG1BpMFUBoyiYehNtAQH9CVjSXR6EulJ/%20DVADCICAvwnIbqJm0u5yffS6WVfaKQ6jSB/IISI1bjfbM4Y1UJw/NGmSNcpCGc0O8/n9jrxv965t%20Q3ryJCO7SOdUMD4+J1Uk0oABOlcYhOJhFAVhp6JJIAACIAACIKAjAfIUiaS/UaTcVnTrlo5Ng+jg%20JfD+Ajb3CxYtDZ+TJfOzTZvYG29o3uh1tUsy2SyZNYvNnKl5LbLAQjNm2P59+WX2wAO6VheUwmEU%20BWW3olEgAAIgAAIgoA8BisRNe3t4ypuXxcbqU41NamqpUqxcucz/MzLkM1j0rhryg4NAmQtswyTW%20f3221sTXL/nkxy1YgwZ6tXH8eCaHCXnlFfb77zrVFTZpUuQ//9iEDxyoU0XBLRZGUXD3L1oHAiAA%20AiAAApoSUKydCwvTVLoTYY0a2b5Yt86IGlFHsBCoc8q6ieiJY9na0/+ZiE79alzPk0PfVtIJSCLd%20vBmu05K2pKRwMsBEolruvlvfdgWpdBhFQdqxaBYIgAAIgAAI6EHA2A1FmS1o3BhGkR6dGfQynzrI%20Nk5iJf6zNfREMdawH/ugsRQ4Wz8KFINk8mQhPmzx4gLff699bSNGsISETLHkvNXJ9NJeb9NJhFFk%20ui6BQiAAAiAAAiBgTgJ3X7jOfpbCS+q/ds5mFAmX1LFj7LffzMkHWpmKQI+tbMkUllMKuz2/Bqsx%20iG0sb6CatGpO2ndXdPz4HOfPa1n9oUOMAkWINHgw0+0kZS3VNqUsGEWm7BYoBQIgAAIgAALmI9Bk%20l7RvgYLC3XWXQTrSGTKyswgx6AzinllNIB7b/cby32fMzoZpXFPWsSdLymMsO6pt4kRRZfjVqzFj%20x2qpwXvvCWmp99/PBg3SUniIyYJRFGIdjuZ6TiAQfww8byVKgAAIgIB7Ak1lo4iOdjEyYQWdkbSl%20umJ3jFRzbHePA5/5SUEH1T7341+TvsrmTnyzHXunjZ8UfPBB9v77ou58K1aw2dnNNa/1okjiCxeK%200onklULygQCMIh/goWgIEGiza5yaH4Mu+z4KARhoIgiAQEgTKHg99X97z9oQtGxpKI4mTWzVUayF%201FRDaw/VyhJSrq6+sM/aenfHdi85t9MkkHIuW/HVJ7d1zkrdnmeTpFAdftCzf3/WsKGt3n792Llz%20GqhBu4my0o26da+1aqWBzBAWAaMohDsfTXdH4GZ6SuZd3t2PwcKzO9wJw/cgAAIgENgEWuz519aA%20ypUZPf82MlWsaDteMzU1cv2PRlYe6nVlpLg6tvvSGhPx2bw5f8eusj5te7NvHjGBgpKziF26xF57%20zVedKLTd3r1CSAKdTYTkGwEYRb7xQ+lQIGBJd/VjcHFlKDBAG0EABECgxW7JKDJ47RynLzmLItfo%20G5gbC6cDcsAfOcLatWPp6UL5F7qxxVXN0ZRq1TJGj7apQmHoPv/ce82OHmXkbspKlh49blar5r00%20lLxNAEYRBgIIgAAIgAAIgIAbApHprNUufxtFUhQvXY2i2J8DbxcNRjBLTmbdulmdMFnpzWfYV3VM%20BMYycOAN+TjX119nx497qd8bb7C0rLB6uXNnDBvmpRwUkwjAKMJwAAEQAAEQCBgCdN5I552MzqcP%202eQvD0ab/Rl5UrIewFOQqzr+mGySUURh6Pgz3T/+rH7qPz2GQWLKtdXnVe2iWXxOik6uhyqQ6REB%20soj22bYSjXqmzKQnPSpvROYLFDI7IuuIJLLiyC7yIlE4uzXSksUPP2TFi3shBkUUBGAUYUiAAAiA%20AAgEAIHem9nGD9iZgWzOl+zEUPbru2xo6K1dbfHzKDWhX17Y/6nmPdpmv8Ums42fwniFh8tHvjTb%20p+l5LwpkAbSLRvPODkSBQ4ey+fOF4l80undoXDkTtiOldOlLpKpIdBSyhxG6K51OZG+9ZZNAywV7%209TJhSwNRJRhFgdhr0BkEQAAEvCHQ6MCFfstOz5rFPp7Phq9gzY54I8QvZQavYlPmssellSYVzrH3%20lrG5X7DcIROE7L/U6yvP395X7S70i+YejJzpjDxFtq5v29Yvw8BaqbSCrtlePY0iv7UQFXtO4Jtv%202KhRolhq/bo9X37YcykGlbjy7LNMvoLoZCEK0q06jZy+x5a3YEFGbiIkjQjAKNIIJMSAAAiAgGkJ%20JCWxYcPy3V9u3bvbP/jq12472Ksb2LvL2apP2N9vW60jk6exs4+OWupYx7jdbNv49Jxp0nzd5I3x%20XT1LqsvQL6t9r8FeQpv9LFfW/gVWqhST90XoUZ8LmZJRVOdoYonEWwbXj+pMR2DXLutWIpGKF786%2004cABsY07+OPWeHCtqp69Ij4/Q81NX/w1ZHHDklb+8giKllSTUHkUUMARpEaSsgDAiAAAgFLYOlS%209tBDbOTIsDNn7NtQ8rLVOlo0lRW5ZtIGxm058/aik0K51Ah2ugi7GG3Tttpflq8mZzuTxKQtCWS1%202u6XtPejm4i0oCngI7b4yq12w1kUyAPLZ93DaFtOjx7ZxHz9dcY9d/ssWGcBNIxnzrTVcf58/rhu%20Ba678Xq/+mN6v6W2myEjj9Nzz+msaGiJh1EUWv2N1oIACIQWAdrF27o1+/NP161uc4D9PI4VvWo6%20NmEXLn70xWGhVkIUa9iPlR7NHhrG1la0advppzMD5gXOWkDTYXajUMx11l5asGMdUf5N0qGxrXbB%20KPJvZ/i59mLvvMMO224RbMoU9qT5ois4hETX0XvviW9y7D/w/fu7c6U6dXr32Mo+nifctYyVLo2F%20c5oPPhhFmiOFQP8QSM5IdfvnH81Qa/AScDvkKIPfWr97N6tShdEiDSkl5c0xvfE9fePYy53YlAbs%20Uj7bd6UvMtprZLaUu99bxa4kC636PcO2lrH+929+1vRVtknaRz14ziG2c6fZ9A8OfeJ22drx270F%20/bl2jivy1FNCoab7L5LNhhSaBArPmJFv2TJb2+n00t69AwkFRVyQFv7Rns+Nw3aS994+vbyJzZgt%20fRwZyb79lhUpEkiNDQRdYRQFQi9BR3cEWu8cm3t5e7d/XfZ+5E4SvgcBtQRa7RzjdshRhm77spkl%20aqX7li83xaWlrReHDslikocPLTI79qXeD332uNUiIruo7Ei2SNqNHHuETfrOTJtz1q6NnP+9aMI7%20bdg3j2bj8vxz7Hx+6ZMhQ3zDhtKOCXTcbft8YYN7/Y+pYkWrwZ+VWh30v0bQwHgCYatXF6HI1CLV%20r88+1T7oou7tomdR0jnIjx77j5z2XaVI73cnsjkz2afx2RWZM4fVrq27bqFXQQAYRU2bNg27ndz2%20zoQJE8qUKUM56XXevHn2+d1mcFsFMpiQwM30lKX/3n6S6S4i08JzO0yoP1QKRALX0m4t//f2VNHd%20qFtk+EkmeXbtKt69O0tIsIGtWpVt3pwy5J3UiGz3/P/ysqd7sSVVbRnf+CGj6X7TnAE0YYLQ7IcK%20bFxT5Uj5I4a9HCd9+MMPbPr0QBxOZtb5oTPssVM2BRc2uM8U2krOIhhFokdM7bvWdtz8/Xf4iy/a%20RBYqxL74QtsajJP2/fesUSNRHR3F9vVX7LfhVtfQX2+zv95hnSVXLWXr81Zd1r69ceqFUk1mN4rI%20tlm7dq2aHunTp8/AgQNPnbLevOk1Li6OTCC5oNsMampBHvMSsKS7jMgUegeamLergkgzS5rLUbfK%20+KaG/fBDyZ49w69JYRNoW9H+/YweozpJz3djR++0fTdqzq/Gq+2gxkWL2IYN4vNRsY6VWliNza8h%20PTJ7912WnnXAqCmaEfBKyBOytQ8X++NOac2lHxvXqpWonIyi/AhBR7HKd7ynxnfd48Bnfuw3zaqm%205z7nztmkkUVUtqxmwg0WROcRr1uX3PEZudoH/mW0ieju7Evp0sJZuwG1FjxRymAFQ6c6UxtFCQkJ%20Q9QthyDbaerUqYpuIxvp9OnT/EO3GUKny9FSEACBoCWwcWNY8+Zht6QZIu1CdneKBfmLaCmdSNVP%20/ff6wt/8j2j8eKHD93Xu2uz8GMYhrcMzxFICmifJK2r834zA1iAiwzozEym+nmmC/1avnl4+c0yE%20W7LHgQhs5F5qn5Bydc2F2yEC3fmul5wL/K13/fqx9ettpIYPz3bsj5cI/Vws6esvhnaq4EKJHx9g%20D72bc2Gd4n5WNKirN7VRNHPmTO75cZuWLFnC88THx1sslt5ZO+1IAv/cbQa3VSADCIAACJiawK+/%20so4dWZoUnmjYMDZmjBqdN5Rnn0uepEHfHs62+k6NCG3z0CnvdPZIVprQprQL8SeLhY15RrKZyCiS%20zUJtFQsxaT23ssJZYQwoDPrXDe8xD4DUZ2wHyHaQg+OZR0XjNclIceW7vrTGeI20r/HLL+UHPdeb%20NmXkHw6KNKp9+Qcn11tQjd3Ima09P5divTqzJ99gv93lfiNJUJDwWyPMaxSRm2jcuHEqwcyfP59y%20li5duiPNCRgdyDGSF1y3bh1/4zaDyoqQDQRAAATMSIB2ENHd74K0HYhugyNGqFd1yFMsMSoze+6U%20dPbBB+rLap/zc9vZi/H1S+4pU9B1FRNbl7mWJzIzz6VLflZeexx+k9hzi63qGfXMNWFIeeZpodyT%20v7FSl/xGCRUbR4CeldDCuayUcv/9F8aONa52/Wv6rWS+Z15i+T5hzfuyuB4s9hVW6x326EA2zeny%20Z/11CqUazHWPk8kPHTr08uXLZOe47Y6DBzNDz9SoUYNnjomJ4e/37LE+PnKbwW0VyAACIAACpiZA%20FpF0WEcihaZVt/ZYNCohHxvTTGoiGUWyiWVk4+mWLoXZ/bzJfW4rv5I3cnLbB2zZKBB5hpnC6Llt%20gCkzDF7Fqv1l08xsRlF6hQe2VogR+mU7ScmUPKGUrwToeUfXrrKQ82PGZERLBzn7WoFZylsYW1WZ%20zavJVldiu93f/8yidhDoYVKjiMwYvkdo8uTJbilfvZp54mC1atVEZrKLxHu3GdxWgQwgAAIgYF4C%20dK45BV7LSlc6dEik4Aqep0mN2D+FsoqlpLBJkzyXoUWJadOElPT69X6qqOosjk/aVmAUgYqnixeZ%203S5TLTQLLRmNpJ1lc2uxP2JMt3Tnu7olRJdgBV3wj84uXdixY6KZGVOm3JRmfcHffLRQfwImNYoo%20RgK1vUmTJrGxTkIOqUazdau0S9RRKbcZVFeFjCAAAiBgOIG337ae4peVLK1anZdOSfdIG3o8+UEj%206UeBnkklJXkkQYPMFDeP9gwI0+xF21IZ18Jv5MrBevWy5ZEW4GmgVeiJIBujwXFbs825eme+ZBRV%20/Zs1/SX0+il0Wkx7xddIe6JefdUih+QOHQ5oqZ4EzGgUrVq1iofhVhl6Tk8+StnJdonnoOgOeiT9%20hAeZZPVjwGE3uaChn2QfB4w/ejAbjDYH2P5R7Nqr7PRgRofNdc4W0Mhx4/yhM83z1SbzjA21GtOd%20Z8oUJkVpo+P8MubO9WU8f/hk+N9F8mQqcPOm5fPPZSxG9OA337Dk5EwF7r8/pX07D2jIRtGRI5YF%20C0h5I3T28WK2K+5LDwpcPo7nt6X5Jy3j+UkKd2wv2TVkD3rQExSU90KBXHPr25xF3Z0/AvWMBlN9%2037A4/vX3y6jzhbPrK8Xvkl/5/giTH3O0bGn56COT6+xsZmiGq9tFh7q4UtQPg8DNGSZGlYs2iINT%201WT2nQUdvUpB5yiC3BT6vWfMbe3k6qlXrx7lHD9+/IABA7gCdOQrt6y2bLFuFHWdoW7duirVdnaG%207DHJpatSFLJpReCWJbXK0SHMek7RcqcywyJYsZa5wyIPPjBKfb36SVavg3ly3sxIqXpsKHGO/mv5%20nC+Z/YGJUxqwlztbOecJz3mgfGawE//qfyMj5WGrznSa0ArnYyMHK9Yib3jO/Z7orJ/k6xnJ1Y4N%20U6Nz232JC9/7SbQr7a67/p47N7W404CtKiUP+qnc6KyjilJLlvz9xx+N7MR72rfPnbVNNOGVV/7s%2007O6Ohr5wnPtLf/eHYMHF1iwgCt847HHzkhOJyNboVNdSek3ax5/l1lS2QXnB6+FRbJizfNH5Nld%207l31aigkD1vJRiyzla4ylB2iWNy+SM5IZRed6xweyYp6qfMTh/7dMOxnoWvZkexkMandXkm+kn6j%201vERjCK5XXR+1Fh4TlY0tkBE3l3lhqvnrF/O/9Jv1Fanc8GIvDs90Vk/yZfTrz9y/D23nLv8Uvmb%20j/YKdMnly9ONLiOfq/OyVEqmHiwUEfVzuWHq+yUx/fqjVp2T2cXVTkuF52JFmxWOiNphDskJadfq%20nBipRueYHPm2lx3qrF3lyjk/GEE9QUNyujUcnGlhOk8RnbjKw3D379/fEHSeVZLLLvHy1AF6JP2E%20B5lk9b3osJtc0NBPso8Dxi89yCud+4UDi4g+77OZrf44c3e7p5z1o6FfD/pXcqW/kr78YIesw78f%20fJBWooT4MXDRBa41/7zpfWkRmT8NkWfOFFi6VIhyPepSWbrbP2cdzSXnOXBAWET079U2bcT5Qypo%20W2UnxcWJnHm3bct14oRfrpSAHs+PH89mEX3e4LZFJCVPr24VfZeZxQvJGyvF7LzfVkOPbY5r80Ky%20SrU9lRzQY8MtE09puBXYfk+GbBFlREWdnzjREh3NK/LLb7dbnUUGzWn4V7L6hgduTtN5ioSHxyFT%202mW0Rl5UejuTa08RebfcZvCl//hl6cyHlkyPx1SkXPQ0yy6RzBMnTpD8slqf0xxkkm+mp+Rd0UGN%20pyhPRM4bLazR2+XkgoZ+klUMCldZ9OvBjIyMkydPhoeHk8NWocH19Fv5VsRN/Xx/rzV/iq/Sw1mY%20hdHhiSJNeqrMsB41rrWIVxR3IdlHGi4kX0u7Fb0yTo3XJV+O3Febe6CzfpKvpt3Mv7KTa51jrufY%20+HHeyn9KG35mz2YUboFR0DWnPahGMguz+s0+n/nrS8uzNpQ89hjdZF1Lpm9b/Dx65Xn3h8V0u/uJ%20WdVedTo2KOSdWCTz1FN0wFxS2o0CKzur6cH8OfJeaX57b9X//sc2bOBVWPr1O/HSSw7Hs36jTj/J%20/6VeL7TqWTWeooKRUZdj56i/BoXk8PMrD4xklf/JLHq2ICM30SX+UP62p8ih5PT0dHqaGRERYR8w%209nLqtcKrujAVnqJCkfkSY2crdFYjucfilTOyyqVFsHvHMFI7M932FHkqOTHlWsxq0tm9p6hwznwJ%20zTzQ2cex4YIGHd5aZHVXNTrH5Iy+1Owb9Zz1k3wpJano6m4udKb1CEutC4aktHQpa9WK/++ChlvJ%201vK3fX1Fcua/2Oxr9TQupiQVs+rs3lNUNGf+C+aQfCH5yh1rnlOjc7FcBc43nWU/So8ft/4cwFPk%204/VrUPHorICM+/btE1XSMUfivdsMOinaZte43Mvbq/nrvPdDnXSAWBDQkMALP/wpW0RLqzBarFJ5%20eLb9Bv2Wnuy6/rSGleohKkc6K3RDD8EGyfxueno2i2j0aG4RaZVmNpNM4m3b2I5sLin7Wsh0ybSI%20LBnMxR9ji89l23ymFBUv2aXZY+960LTnnhOZw75WTnc8kBOSWSfPs1lEBOCVjlkWkYlpfFGXnS2Q%20qR9d2u8ExQmlJuZtkGqNf2VLrEGIpTRjhrCIDFIC1YQYAdMtn/OCf5UqVXgpfioRJbKI+Ht+WpHb%20DF5U6rYI+YiW8J9/17ME+paxhWfdzDncVocMIKA7gVu33ptri9F74G72bHf2exH2612sRV86adtW%20/8hZB/0QtUxF+2v/zpZ9xhL6sdQ+LPENtnkiG7CWFbipoqSZssyfwRoelXxzFIJp0CBtFTx6TwHW%20sqVNpsqdOda9W8uc/rnYnnG7pnwrV7IrVzIrpZ1Rbdt62SiK21u0aGbZhIT8ixd7KSf0irXfdu7l%20TbZmf9yQLXo4MCiMlY7Y6ruRVcrydAWG9tDSjkDH3Wz5Z9ZlCLb06aesRw+gAgFdCZjOKKLVcYrY%20F6L99Ln92jn+bYcOHeiV3Pfz5s2jN3TwK/+8cePGKjPoRZlsHhezBPrqovP933rpBLkg4A2BnMPf%20K5F4S5Ts3J1dy5X539XcrLt0pF5MUjIbMcKbOvQs88U31ih5LQ+xwtczq6l/go1fxH4Znhb30xk9%20a9ZS9qfxLNshla1bM+lUHy1reuEFm7SvvmKXL2sp3JGs6BXSzfD2Ld371K2bKOvaKKKnV27/vFcj%20oErWPHl5xpRDQmV66vG6b51gZOs/fYIdkSKMjIMhbCR9resasorFf8FyptnkDu9Rg9GB1EggoDMB%200xlFatpL+47kPXZUpDXNDG6nuLg4+oof/Eqpe/fMMy7cZlBTL/KAQOgSOHIk8gPbIs93W1odRHLa%20UYoNzrwKb39M534eOGAeXN9NZ92d7MAu8R+bO2nP+Om2xbfmUVuhydjFTH6Q//ODRdl85R45zZSn%20m6rYzZiezsgu0jNFXLoUJZ0/yzp29Kk2aQVd3p07c/3i+PyaFj+PUrO8+fn9n/ikTCAUDj95asH4%20Xflv2OahtHAusNIYyVnU/DAbaI0+ixR4BGbNYiOXZlN78LMPTmn7YOC1BBoHIIGANIrsOXfs2JFC%20eCs+pwjdpUqV4h+6zRCAfQeVQcBAArR0ISsdv4ONaOGgapqUHL1T+pw2upgjzZ20/xlbQFerTpfz%20KjXrs+y4yddm0GYP+eiYYyXydXv7MZYzp46Mn3/eJpyOD9IzRa+SYh8//DCrVcun2ipWpMO/hYT8%20ixbZS7uSSvugbg8L9/ugbBGffdLKtIUvXozq0Pmei7aFpPSAY6sy0opptc9ULL4WW1LVpuS4RawJ%20znI1e6dl06/Lz+z4UNYt+2aCV+IixrQLmEjQAcUbyjogECRGEbWMDjUiK4iHvqHX+Ph4cWYRb7fb%20DBggIAACjgn89Ze8RsuhRcQLjmgp3VLouBgp9om/2A757ljcFtsOg22lWcN+rPCHrNhENuSp7ErN%20nMl69vSXnq7r/fJr9spGW5aEKNb+rVrnCmedsqqT0rJRdPBg2KZNOtVDYvPThiKRfHQTcTmSsyia%20jKJUJ4FArWf+uNgH5fwoEv1YGCyZyLRrF3H4iKj2g0ZM9roYrI4v1ZF3K0E6vYZ231X9W/UxrL5U%20jLK+EWh4jG2cxL75ipW9YBN0IZo1e5V92jDCN9koDQIeEAgAo0hsMRLNEvuOFA0lK4iiCVN+eiXX%20kD0Gtxk8IIesIBA6BCQ30a93R891/hB/Xs2wLQ/G2MB84ud1RxFbto6UgkPsuo+1epltLG9V8GI0%20Gx3LOvakWBGZh11YP/3iC/bee2br2PnT2fPbbUqdz89avhJx6L78uut55520X9NWyxxliGfNFDh0%20KLe82NLHDUVcLfoJyDrHNvzaNYYwdA576/Rp9vjj7CfbEcAzH2P922nWsQYLOlPIGi5PJIqhsuSz%209AZHLhmsBqpTSSD8zD/9l5zc/da2Hyexx49lK7S9NHtsAFtTUaUkZAMBbQgEgFGkTUMhBQRAwDsC%20FBBMsm0+jb3PtZhPmmeuWbVmo+Xht8838FfK9caboupzBdhTL7PEqGy6zK/BmrwefuQeycAYPpzp%20vFRMPY2oFLZmMmsvrf07VZQ1ep3tKCUZcurFeZGTIrllpbA5c8KvZwWp8EKU8yJh8s6opk3Zvfdq%20I15yFjH9LDptdPWHFDrNqW5dtt1mcC989K4eUsQUf+jka53xNbN5gO9NsGwasrXbmswzfH2VjvK+%20E/jzT/bdd6x/f1avXuHSD74/60iNU1kxJ7OET2hitYhOFvO9MkgAAc8IwCjyjBdyg0DIEaBH7Lcy%20g86dickztel9rgl8/1iJg6UL2fJ89pnfiI0dG37QFk3r1Y7sX0fOlRPFwtq/VTMhf1YoPVKXNige%20Peo3tbMqLn6F/fBhtn0Rh0qyxq+zwyUMVK15cyaO8U1Nzb9kiR51ZzOKNFk7x7WULDq2eTM7eFAP%205QNVJi0WpVNuz50T+v9QpWi7AdUCtTmS3uQB/uSJbO348JOd1lk4kmEE0tLYH39YD32Ojw+bOLHY%20qFF3vvQSq1yZ5cvH7rvP6n+mY5pvHwmtSLQMocIINtDbaPyGtQ8VBSsBGEXB2rNoFwhoREBad/S5%20O4uIVzm1hbQvlo64ybKpNFJInZizZ+Ww4BSxd4Hz+d5vd0d37/+oTe6NG1a7yK+pwplrZBE9Ip2C%20S+tJyEd0uojhakmmRX46Tl7ztH49+/33TKm5c2dbsOdjXQ88YGnUyCbj2299lOdRcbeRvimDRwK1%20yhxBJ5tTyPLsR76kdI5rNOIxrarwuxx6AjKqeXYtaBZOW46llcB+VzJoFMiVxh49Zem78vQnk7az%202rVZiRIsMpLdfz/5glinTuFvv11w9uyoH39kR44w567mZVWs9zc66SFbtJ6gYYSGBAgBGEUB0lFQ%20EwT8QoCer0vBEr5ueI8aLeY8eT8rWTIzJ23nUHn0pxrR6vPQ1qDkZJ49ITpntnDhjoT8WO1O9tFH%20tm8oqMCwYepr0zZnhTNXfxj+cwXbQ3y2uhJ78nVGO4/9kCSjKPfBg/SnsQ63D5fLTPQImewiDVPn%20zjZhBq6gM22w7wILFtxDCxQVC0SHDbvx1QwNqZtB1NBWrOvzLENeZ0obqF55xeqpoHOBT2BBna+9%20VOQae3GLdX3vrZfZ9nGpn8w4FPfDKbZrF6MHUqrTz+ULv/7Cg3dNYE/1YT9UUF0MGUFAHwIwivTh%20CqkgEBwEJDdRWru2tHxObbPkoz9poY7BiSbu0pGm73Uom6Rmpv3aa/Rc06bpyJHsZz/EYg47e3bh%20uF3FpXNy59Vksa+wm3oG33bVP/TEt1UrkSFa2xV0tMxG3lCk4dq52xpbOnfOiM4yJWmpGEVE1D+Z%20NNj31q1hrVrdMXhwxH//ZWNAzyzMd9SyJr00+xH26Ds5fiuZ/VkC7WlZvJiVKxf+8MNFJk7MS4u4%20EhM1qS50hDx1kK34lF18k02b43nc84IFWYMG7K236GJMPPXro+Prf9zivn8LhA48tNTUBGAUmbp7%20oJwZCETfTCt52QyKGK7D1atyzK60rs96oIFsFJGvST6X0wMp3malo2Oz0r5SBSc3v1+tIDr3+R6b%20NyycfrkNTteu5WkfR54iUe20+iyuh8FK2FUnOYusRhFZMlolchNlrahJo2Bx5MTQNoWHJz0lRV43%200FnEzBPsm54RkLVfr16YHPecONPqph07mBx4XVv4JpC26/6wOuPrf/L0gyxHDoU6YYcPF54x4y6K%20xhETw8qXtyKi+8aWLf5Z7msCVmpUoFNxN0xiS6YweuMm0eVMS+meftry6qsXBw48P3ky272bXbrE%20Ll9m5IefMIG+yihp5P5IdwrjexBgDEYRRgEI2BFYvZr16kX7y3PfUTz16aVJnVb//TY7PdgaSo0i%20I5e+GDLE6BF+RkZma8uVS4+VTox3y4ACiMlP/VVMRjXbg3H4sLw6aELbsm6VtWXIn59NnGj7d/v2%20wmQmGZmefjpi527ZIuolrf8yUpFsdbVrly28tYbR+aS1c1cpqIMOKUlyczHaE0WHboVOInOIHk9U%20rUr73ZWNHj/eGon7kUeCHsZ/UZHDX6jG/vmHvf02yyXFU5FbTkEyCdGbb7L69VmePPkfqTf+m1/q%20HA3Nh2GOR0TT/RfXf2R1ED2RPXY2z338jrD4eiWH96jONm60bhGkw68IOHnaFyzImDTp8gsvXIuN%20ZTVqWO1PJBAwMQEYRSbuHKhmMIE9e1j37qxIEUa3b1p8depUWEJCjvTMs//uv2Q9aZvO0Dw5hC2Y%20xh46Y7By/qjOx3VN8hNo2uNOm4ucp1Y7x+Re3t7tX9d9H7sH8eGHIk9Gjerz63r4MPKZZ+RzP4t8%209FGuX391X6kmOdq3Z+vWCUm0as4UFhFXqKsUqlmrM39o2iT5Lq7pYxTdqlLl1kMP2fpHhX2uSWf6%20V0j14wmM9lOROfTVVwpNrtPBRL/8wgYM8K+GRtderBgbO9Y6Uyd3kBx+w5EeOfYfGLDoxLZBO34f%20xD6azyrbDn82Wmsz1Bf548Y1I7avHrn7yd+U6uy7xxoA/cF3WflRkZ3erPFZ2wetx17Rri07v5wZ%20GgIdQMAtARhFbhEhQ/ATiDxzptiQIaxmTWtIAArN5C49vY8dHMmGrHSXL6C/p6d98po3L87TbNyY%20lc3y0qSlhdk/q87icz391vJ/b7tHLBmu/hhbdNbdJp+TJ+VZYMprr3rTCeQsuuMOUbAIzaUMSK+/%20zr7/XtSzqlox/6+ak1stG0XkYaAnCL4nyU10q3Ll5Ip6ndR41V8r6HxH5LmEGn9a5k3c/cMba9jc%20ucrS9er9M336uRkz2IMPei44KEqQp+KNN6yPHq5cyZg790r79q5H3X0J7LUN7NB77KPvGMUVCLlE%20Ryo3b54/9qkm+y8o2v59dfbI26z6YOsR2L/dFXJg0OBgJQCjKFh7Fu1SR8BiCRs06P7//a8AHSfn%20KKWHhyVG5/wvr4PvRi6zOo6CNsluosce83IWJcUtCLOfoinYWdLZhWVO/y6qs0GnTLFJrV49rWN7%20bzqIZk7SIro8tAhE8j55I9BtGVph/7HNCbatQuF2A6u7LWRohgoVLM2k9ZOaOIukMXaV3LO6pWxG%200W+/MQoCHoypyhk2+0u2e3Rah612ro2HH6blYRmbNl2nPe5IRCB/fkv79udHjjxDKypv3rSemUMX%204LPPWjcXOUqv/cjIazRwTSixo/CbNGxWrVK0efHD1pNV27/IdqreqhlK1NDWwCYAoyiw+w/a+0SA%20fgjppj9unFIIHbPQpw89Tbx5+VKORU/FfNOk0Ies9jtswNPKmMi0xWjJlKxdNz6pYr7CspXohZuI%20N0gO5vbTT7lo4b6u6coVJm8B8uWsIZoexcXZlB04kJZT6qU7Legi+Vkpo0zp9m/VupkzQq/qvJYr%20O4tog11KiteSrAUp/AZtvM5KOm0o4uIzChSwzndF0sSi86nxGhfOmcbeX8gOjGTP7rSTTLuGyCNH%20tLWO7KdxG/wojqLA03OfV19ls2dbT22+dOnanFlz65e8ljtbbIZ8yWzcYuvaaTqWJ8gTGYrktqXw%20m9kTHSXUoD9r24vRmWlIIBCUBGAUBWW3olEqCNA+Ywq+pDh0hVbQUbTWM2fYZ59Z152LYL6M7bqP%20vd+Y3TGRdejJLkohXp86YPl2khZLiVSobFiWXPQ0ff9+W3W018W7VK6cvHw/esUK78SoLUUWkTgo%209u67rTvEfEnvv289f50n2jdMu7T1SBs2MCm2G4uKujXn67OF1UQQ10MbVzLpyXqaWFVIO8TILvIl%20SW4iS2ysTbIvMl2UlS062uF2MXjipXTeyY4PY/1tm9GyKFDMALqbUXw5rx9q6NQXJhcbE5PyzNOd%20+9WIntu4w4vsUPY9ibR2+qf3WZngGT7ZOiPH+fPWg31bt2bZN1Kuqn5HwxG16SihnzwJW2PyfoZ6%20IGBPAEYRRkXoEaCooC1bKua4qXTY6PTp1oPn6PfAZfquBqv7ltVGEqnTT2cmTpdMiMAnGiWvL6Lt%2079IGG48bJzmL8i9f7nFxjwp8/rktuy9uIi6lRAmL7EWkI27oQbKmKSedIKl4fj93bnr1appWoqWw%20JDr1UiQf/S2KM1u1VNORLHrGIe9Z0jCAnt6aO5d/92W2eCqb8yW7N/tGyB3lC3cdXJ/Rycvu7mb+%200z0wav6uOqsyjL3WIduDsFp/WO2iJ44F2xqBgrNn302XieLSuPvua7NmNB/66MbKCBwXGIMWWvpC%20AEaRL/RQNgAJ7N1rdRBld1n89+yzf9AD+549Vbbn+B2s6Wtsz7227H2Wn2DyjFylILNmyyfFQGNt%202vikJhlFUVFcQo6zZ6OIsz4pmiwuOpaRJwq867tRRHEfeve+XreuTV9a5EYr9DRKEZcv30nHxcou%20C/J0yfGjNapIQzFX5MGwfbv3h9tS0DkRGjtvXosxrgzZWRT4RhGtlDv4Hmt9IFv30q2pY88IOpln%20eZ27Nez3EBc1uSGrNJz9UMGG4a4rbMPEtNi954OEzL594Y0aFRs1KvzGjWwtougvx44lx3UIkmai%20GSDgjgCMIneE8H0QEWi9/QyjOS6tGhcpJsYyd+6FoUM9beXlvKxN7+xRd2gWTo9mAz9RBOqcx6Sj%20KGTngBety5lT3llkNV30SfnlTVBk39K56VqkS/L5refOyZt/fBR/1xtvWD1FItG2Zjody9wp9d57%20rzdsaNPRa2eRbJOQrywy0oh207ogkQ4dyrH+ByMq1aGO3CkZ02dbYyoUyj6DpThg5d9j82viZ117%206BeiWaPX2aw62SQvGfNz3UOBbxeNGsWqVw+j84XkRD+UFGSSAszkyaM9TUgEAbMSwN3TrD0DvbQm%208ObSk3PHbs92WjmtCqOdM97uPz5TyHqejSVMUrRfP6219oO8fPLaOVpnWKiQr0rQeSlZKR/56FQE%20Pfe0xtyHDlljxInUo4enEpzlT37ggUTy54hEB1g5CVToUY1hzz6blzZ7iPTSS2zECI8k+CvzVdlI%20pm1FikfLatQ6ezYbQ3lLlZriXueh611azJnzq4CMHUnBkQ+98VPPrdkorKrMqg61nhiDpCuB57ux%20kdIJw5HpljnvbfLCX6rZQdU+tpZCDT36KFM8E6SwE2QLbdliXVKBBAIhRgBGUYh1eKg2d/SSjIlf%20HcnW+ldeYf/+y2g7vg+JdhY9/5x0EVGIJymMmFvBZvlpzK5oPvl4Ih/dRFwyRQGWt3M4P7DILTFn%20GQpIJ/wwihxdpYrXouwLJvbty6pJ+3zoX5rW+5J69cp2ahNt/AictZfXmjSxHs7IE4W18EJz2U1E%20p4vSaY+GJSn2RuSCRaXOXzesZk0qyj3kXTpGs+zZbGoPbMua92UHS2pSA4S4ITCsFXtb2lgXfSPV%20unFLEbDHpYzYHSPdnlJNGbrv/1Tfzhg0yGr2yM+SGLvWogWtl2O0ag4JBEKSAIyikOz2EGv0J/PY%20oFWWbI3+4AM2ebImGL5+NGxKM+m8BjpwRjYqnNfx1M6xan4au+z7SBM91Qo5dChb4GwfNxSJWuXY%203JobRQkJ2Y6Z0s5NZIP2kdQLtAuILGqvE5Uld5NI9KRWDjngtVgjC77wgq02H40ieZ+PAU2gtX8U%20YTIrdV+ftQnNgKp9rIJOy61TJ/eEibIYeihDB2hOaOKjaBT3jMD4JuzdllIRithG98m//1YjJTHl%202uoL+6w53R1UveRf+/Dqampwn+fxfeesj40UZ1Lfcce/779/nm5099zjXgRygECQEoBRFKQdi2Zl%20Efj6K9ZXXixNW/AXLmSarnPr90Llk8WzYjdTvSqE30hPXvbvLjU/jYvOSqvC9O/WsGXLbJXQU0M6%204EWTJJ/5Qxv0PXmw6rb+sC++sOWhIOCaeLcUtdIj1dGjbZ8tWhT58SduFXOQ4Y032Ke2B8C0Rcdq%20EdGYDKxEe5/CspaN0rYoT6zc2J1nGAV8F8lgo4jqlZxF3X/4U179at5OoPMDyJaT11sy6wkBdHga%20DtD0S6+NaMEmNJVOEvv9d+vKzAzV8egyUlwdVH1JrzNii15ln089sGDID+zQoWzcXngh/ciRJHNH%20efFLR6PSUCMAoyjUejyE2htmscar7SrZFJcK5LIeZq/1pDk5Mnxgj6o2socPszffVAXaku7qp/Hi%20SlVCNM0UJgdC0PA38v77LbTsSiRPptFu2xc2c6Ytjx5uIi6dVpvQwryslKv/gBon/3OrW7YMFLNB%208jillihxjlxGgfhctmjRbDEhZMeXOyLPrz5py0KRD2IMj/NLRlFWEI47/kt+edUf7lT26/d0XEzj%20xorzA07fkbdFX+tZ0kh+JDDw6YhPmpeyKUD7c2R/uB81c1L1y5vY8SEpL63NPuBLlbI+JaRbqO97%20R83XZGgEAp4SgFHkKTHkDwwCBW+yHz7KFq/21J1RzUc20Gnz6Oqaxa0Hoos0aRL78cfAICVrSavJ%20aZWOSBoaRSRTDmihoVFEu4lOncpUOSKC6WcUUR3k5JHO85318d4iSSmqejktzTphmiitfSpR4uzU%20qSmlA/ZkeIoMIdLmzTlWr1XDodqp/xrvkbZjvfiimlIa58mRQw7X3me1iVfQffIJq1zZ+hxHSl/9%20754qH9VbWVljKhDnBYFXez60qMF9toJ0HrHKx2FeVOZDkfon2OaJ7NN4VjB7uEJG2yPJ6tb6KaEP%20mqIoCPiZAIwiP3eAOas3ZwAA9azuSWTrP2QNpcjb++8JazTiscP3F1QvxOOcFLGngnSShedhvj2u%20UfMC8tq5J5/06cxWO90scXEZIrornVFDJ9VokmbMsIkhi0jX5530VJXmqVmp4t9X4yfd3h7gMpX9%205yp77LFsa8zuuCNj6dLk8uXdFTXx97QnQdpvlvNDVTv0sj2lpu09dbJHODasuS+/LKqqcOZap9vr%20WE2VIv/55y4K8U/PWeQVWYUL3/hqxguvVLuWO4eptA1lZV4cUDfbgzZ6HEZ/pkkUtJ1sIbKIyC7K%20lqpXZ6tXW+9mAbd21zRsoUhQEoBRZFy3PvAvW/4Z2/gBK3vBuEq9qKnNrnFqAgA8u/dDL4QbUKTi%20Wbb+I1ZDev67uRwdMRH++x159a09PNwayVQk2gAgTaD1rVor6bJRpK2biDSMjLxKm5RE0sRZtGtX%20tufourqJuOa04ks6FvbJg5eWf8pypjntgKd3nP2h/w+M9BSpRAlGnB9+WKtO85scae9cjo2bmu/5%2017UmpS5aXlz3hy2P7GsyuA3UBVLt2fYcGqyJo+rCvvrq3pYtoxTxWp55hh0+nNI5zgQKQgUbAeuR%20DHPnsvulWDtvvhlGC9JMkF7cwo4NZbRqTk4pOcJHvFDNuiKgaVMT6AgVQMBcBGAUGdcfC6axFofY%2048fZKq92aBuj6K2M1CXnbge9cRcbZ+FZ6ZQVY5RTUQsZnEunsHLSeXrLH7IeupcgxUFQIcbbLLRt%20ho4uykphQ4dG6HAmj7fKuStH3htaFi+S5kYRY1ebS2d8kFGUlOROJ3ffS26iG3TaYI0a7gpo8f2U%20KdYgvFmpxWH244fsYbvQU41/ZT9OSl8wflfhq8m2Wik6+bZtrFYtLfTwtwwCLi28mf3RXtcKDVgr%20RYCkeBjt2/uzAZKz6NHTrLNegb48bCLFIGnUKKxHj/DrUtBtOjdm6lTryU7Fi3soDtkNIVCypNUP%20TKdUZ6Xwrl1z085S/yW6Ha2ZzKbNYUWvZVNiziPh5aY++Um7iv5TDTWDgKkJwCgyrnuisqZGZS6w%20DtLGDeM0UF+TmwAAK9RLMjLnfQls2Wes9EVbnd/WYq1eZqlSlCDd9Rk5ktEkhqekpCIff6x7jVpV%20IIVYuEXH8lBgNK3TjUcfTRWPVGldkI/OIoqEK8WdS/L2EF5vWhkfn17TZoDVPcn2jWKT57PhK9hT%20B9lb69i5t9jaj2kBZ/ZA8BTJetMmPcB60wRNykjOokLXUl9c95czqQ+eYy/9JMXmopgT/k2VK6d2%207iRUGKhqS5SeGtPTE7LTaJmlwkEUG2sNFEbh/pDMTKB2bau/SKTk5Dv79/fXE7GRS623oya/ZONF%20x1i1fJl16Z7jz6I6r5gwczdBNxBwRwBGkTtC2n2/ppJNFvm1kTQnMPtLRmsURZragD3bXfNK3Amk%20p4ZkF2WlAvPn59lpkqfQ7jSX1s5d/9//3OX28vurLaUDPnw0iqZPF0qklCplPVTUsJQ79621q9ZV%20LSZX+MoG9u5ytmQKm7CQ3WnvAxszxhriKcgSTeIlW3Tk3GMFbjpu4QDZ6njoIX3jYaiDnPxWP5Gx%208j+s10/qiumRi85MK1OGkQdSkeg4Ndp6V7asHnVCpsYEnn6aUX9lpZx//HGHirMZtNWB4mHuHLh9%20yKpsUmmB3+DWrOpQtuIhbWuDNBAIQgIwiozr1On1bHVRDABas4GkIYGvP95PD+xF+qIu62N7EKxh%20PSpE9e/PaBtrVoqRz/1UUVqTLB6Hyrh0ia1bJ6rW0SiStxVt3uzTgUXS2rkrhq/FskRHN3m3zvy6%207lc0fff4vezAAfbOO5r0rOmE0COArDOLil1JHrPYgYIdd7Nu8mLbAQPM0Ir0BytMlY5dHrWEFbtq%20tF7/23uOkZPhtdfYf//JdV9t1uyvtWvVnHhmtMaozwUBsoKkGKR5aKHs888bBiz3p1N3999U60S2%20gbSwGiv/HhtjO0rAMHVQEQgEJAEYRcZ12/672SopjiqcRRqiH7joRNdNZ4TAubVYzy4aivdclOQs%20yrN3L/v8c89FeF/iqZ1j1YTK6LLvI1sd0tq55AoV9AsVbV0+16iRrd6vv/aynd98YztCPk+eKx06%20eCnHt2Id36zW4UV2sqhjKUurhtUZV797/0et58cHayIXhzTa+2xWbuym+FcffG9r/I4Hi7LOnU0C%20Y3xbmxMm5jobb+D2+OaHLave27Fw2MZsQTiIS5UqlsWLz330ETk/TUIJanhAgNZLSxsO2axZzIBH%20ALT2skOHqDcHynr+WZh17s7avcROZPNne9AUZAWBECQAo8jQTpedRc9tZyX+M7R2M1TmsQdDhdLh%2023eM+8a2gPrnUqyrcY/nnOhHp3x27Wr77t13mbxzWkWjvM5yIz152b+3Y525C5Wx6Kx0rq20du4a%20xUrWNVEAN5HItvEuSWvnLD17ZuT120L576qzsqPYk2+wsU3ZisqMHs3Oqc16dWYV32Wt+0TseKCw%20d+0LpFKDB6dXtVl9FAK49YFM9XNksLlfsOJXbK0Z1KOaeZpG+ysGdn1A6PPcDkZOLV1TjnT2WTzb%20Pp6t+CSt2T4pIAzVSgHrJ0wgp6JFhxgnujYKwrMRmDPHIseWfP99Rn/6pVWrGG0BpTgcUqKFEg+8%20x+jhIBIIgIBHBGAUeYTL18xLq7AjJWxCQs1ZpFOw78jXXhdME6JYl+dZuhnGNRlCWcuKGIUEoH+N%20TG5CZWQ/I+jGDSZ5ivRbO5cJgBwFxbKeXtIzTi/sIgpXQEtTshIZRUaidVjXjw+wQW1Yy77WR7Nd%20XmDT6rNf7/K7UsYpcGvGVAr1K+pbPNUa8qTnFrbyE9ZU2vA9pHOFfeVijFNLRU0T2pTeWsaWj0y4%20eooTXVQIUZOFOHz5NfvvddZnk6O10xRN/uRJ5vf4E2pagjyuCURFZcybl3bnnbZc5Cwil5Eeafhw%20RiE9KXBoVrqRK+KFbtaFErci9agPMkEgyAmYYfIY5IgVzZOdRSFlFOkV7Pu118L3HxCQX4ljJ02y%20WuD++y2yITRxojWKlDkTWUTp6ZmqlSt3q6L+AVtlN5oXK+hoY7pIdITogw+ak2voaEWeohdeyXby%20UstDbPocRnHJRVr/YNjoZ8x4Xu3AtjYlrafOzGQNjmvWdSRq8jz2z0C2ejJ7fjuLSrGTTMfFbNzI%20aIMcIm5rRt3fgkqXPvvxxxYpSLd1c1F2Z46vKv7xh/Wgoffek+X8UKXowx/U/cpPRyL72iKUBwET%20EIBRZHQnkFF0JU9mpXdeYd23Zg/aa7Q6htenbbDvBQuYND+mcHPxNQ1vkYsKhw5NlQNbG+wsUk9C%20WjtnkaPDqZfgaU55Bd2GDRHbPTnzig5CXSxt5/fjGaCetjqo83/b4O5+Lzi1Tmk7ZbNXjQyN7wHr%207aWzBWUpeZlt+oD1+8EDCfZZHz2W+P6s304Ptop6ZSMr/p8DafPqlmg6oRFbvZo9/rhPlaGw+Qjc%20qlr1vOLwbtr3+O23mmiaj2IS0pI5CsUhpZvvvNVoxGPHi0dpUgWEgEBoEjCpUZSQkNCnT5/ChQuH%20hYWVKVNm2rRpbrvn9OnToggVpPf0iaLUhAkTSBqXOW/ePLcy9ciQnIPNkMLQvbAtxIwiDZlevMj6%209hXyjtwT/UpHDaVrIyrhlVdsgmgqL8/mtalBCynS2jmDjKJKlayrPrJSjulfeNAM2U1Es0kjI3F7%20oGUoZv2wZammr7KzBZRtX1KVNe9rjkWtTrqFnqeMis32HQWH+Hamo9DqrjuWLPbBg6MrP7x94E/9%20l56+/5KD3H/EsAlNWOV3c8T1r/lzRScxOkJx+ARbm63rkKWD1KzNe/bZXN/M8bGdRceOvYPCFV6+%20bJNTogRbtuzGu0N9lIziIAACZjSKyCJq2rTp1KlTL9++7E+dOtWrV6/Bgwe76C2yf2rUqCGKUEF6%20T5+QKFGKzKSBAweSNC4zLi6ObCS/jAB5BV2dU6zWCenu5heFArRSinFMe3WyUt8XK5tiK1F2mEkt%20W96oJxnBtATcbIksoqtZoYjvvpvJ2uqqquThyTFn7n0Xbqip7aHf/8v2tFUKgKumOPLoTWBtRVZ5%20OIvrwaY8zg6XYO81twacaNNb72o1kD/0KTa+aTY5nXax399JnTLt4MMnEl1VQDFUfvyRvfmm9UAh%20iq89Zkz4MQfL72iBAG1/b/wau38MowV7R4rTSj2kYCfQvTv79FO5kVE9e7+47g8vm71uXXitWoUU%2025PatmX79jFjPPxe6o1iIBAwBMxoFM2cOXPPnj0KhGPGjDl48KAzroMGDeIWlJzok6FDM5+dkF+I%20zCRFBrKR7L1JBnQdhchcLh2j1mXj3wZUGmxVrFghH4U5tFOFzRXNtYFbAM/mLDp8mI0aZa6+WLrU%20po+Rv6xUlxSjqdea39VgefN7aZMKTUBpQxGSyQgkRrF5NdnLceyhYWx4q0AKOPF2G/bMi4z0Fyl3%20Kuu9+veNr69hhQuzF1+0RodbtMjq7/3ii7AJE4qNHHk3jcB8+diTT7JJk6yREuwS7Xf/tjZr24sV%20/Mi6/X09tr+ZbLjqrs7LLzMpVCZVN23KgSnTj3hWL01vevcmr3gY2T9yGj+eLVxoi1vjmVDkBgEQ%20UBIwo1E0/fYdpFChQgcoOKnF0iHrBJLvnO9TnD9/Pm9ZfHw8FaFX/q9YI7dkyRI5Q2+6v9xOZID5%20ZVDMfsRWbddNf+VIxyI6D/vh7bdFgYzatUa1N+MGbq4hLS5n8iI6MtSPHfOwtXpml1f0PfWUnjXZ%20yZacRf2WnrzrcrLr2hsevvj0FlucJfbGG4Zqi8pCgMCC6qzGILa+gl1TaVZKsRAGDmRPP83o2XzP%20nmHvvFNwzpxcRxzPbi1hbEGdu8hjlv9j9uwLbHG2IBQhwBFNlAlQeMyvvpI/6L3mr72jWa0/VGCi%200KAU0btCBeVhd/QJxecw4BAkFToiCwgEDQHTGUW04I2vcCO7pcrtEw/7Zu0b2UuHYLpMtF6uY0fr%20thL+Skm4j7jVVLp0af7VyKzTBtetW+eXvvy+OvunYGbN+W+kdd6o5u7oF01NWSnZFb/YAv2mjjGZ%2078WeGXmH7rjD9rHLtaCGEieHW2LW0iCKIdu4saG1k1FUsiSvMTLd8tYSBw/aZX3eWSCtSnriCTqv%200FBtUVloEPi9CGv8OiOv0XHpklXb9MhIsppufjkj/9wWz7xVjTxmqSaNLqG2QcinDYHnnlNEWaj2%20F9s5lo1aygpfd1xD5VOJbNAgdtddVstHWihOuZPi4hhNhxCfQ5u+gRQQsBEwnVEUExNDrh5Ko0eP%205momJSXxN6XcnfBtv4KOrCAqKNbdkdXERVEt/L39Oj3DRofsLOq84U/D6g34iujHQF6B9tprGQ0a%20mL1R+fOzrPFsVXXhwojvF5hCZ9lNJB/Ebphy0sEsbyxzvDGd6/LiFsuTBy/a9KIdZUggoBsB2l9U%20/j3r8bvLakkHzjirjqLY00FDtJaBtuctWJDybKdreXLophoEByaBTp3Yrl1p1bI5DQevYmcHsO+n%20sf7rWK+f2LM7WbcdbPo3ab++8uOmV1axsWNpAiS31lKt2pkvv7xIT3XpqF8kEAABrQmYzihSNJD2%20/AzP2pveie4pThJfDkcuJoqmsHXrVnrNnEjRKnBGv1OZ+8irURTLrER2kdYwPZP3jbSCrv6Ri3SQ%20uWflQza3PBu+5x7rz0ZAJNpxK/lhcg4dHmaGJZNZy0qtCP2yP4ciJZSxnZ357grHfUkRjd9fkGH7%20jpYwNWoUEN0OJQOawNKq4U8NeqTKzFbW8MeffWZdsUl74Wj5XI8elgEDLr311jla7H3pEqNFdLS4%207plnWK5cAd1eKK8vgZo1k3b89Fns/XItudJYu33s/YVs6rds9pfWU157bsmo8HdW8BuRlYbW6NEZ%20u3bdeOwxfZWEdBAIYQKmNoooOhy5ergzh8yeunXrOuspWg7X5HZkXoqmUK9ePR5TgYoMULHilowo%20vwyA3+5i6+RNt7Nn+0WNwKq0AD2LXb/epvO4cYH0wExyFoWdPDX+G9sKQL/0Quyus7a1c7S6z+C1%20c6LN0kXadQeL2+0ABs0Y8t/M+jw8PJvbzS/sUGkoEfjzznzWq4OetVE0BTrUi7a2z5hhGTs2sUeP%2067SM09/P10KpK4KhrX1frNL11SpnC6puC62go8UR//5rXU2HBAIgoCcBUxtFouEUdKF///4uOJDb%205zlasyslKlK/fn3N0d2yS7wKvuRPkdzWLjuL2DffOJPgULiPH/qitmiXi1Z7B8S15PBr12I++shG%209ZlnLB078orcovaXztk4V6/OpNViby0+0WKPLaS4iyboxLntVinsYZs2ohbnY8NHzJndpGxOjx7p%209WzPOyZ+z8peyFbR6CWMgiPbenDCBEu5cg6vNT1GXSBeKdBZHgmgYQANF5B9vD/rJ1ko5ujHW/Vv%20isXVr78zybMfL1FyPHuzHaNQtM5SRngYHZBg+ewzyz//WAYNshQoIP/Y4V4HGh7NGH388VZfPNBz%20hqm5YdFpp+LGZGSD6bSitVlnNpORs2zZMmfOIooyR+cOkW6UrVatWqIUhaGjyArkCyL3EX07fvx4%204TsSwrds2eLCB6Vor0Ch+PyYXTyxFEta5aODmSWDXVjmAtrFN1mRa5nf//v++0mtWhlJ2L6uZEva%20Q1a109mF5U41CQtnxVrlCstx6IHMfV9qdPZdcrHRowt+842o64+1a1Puu4/+vWVJrXJ0iDudI1ix%20lrnDIg8+4EFUBs0lh6Wl3du8ec4//uCt+P2OvFUG3bia2wm/sNs6h0ceLO+JzhmpVY65p5GrUPMr%20nVbkSs1ck3Zm1qwbjz7quh9vZqRUPTZUDec84TkPlB+pZlTwPGGH9pd9xnby7s77WfNXWMLtyMi0%201J7cRCJtfqjYXd9vUS/5RkbKw1ad09gFJyvzrNXnYMVa5A3Pud8TnfWTfD0judqxYWp0jgrPtY82%20vqhO+km+lpFcXZ3O+cJz7fVEZ/0kX824VePYcGZJZRdWOr/XRbJizaPDc+8pP0I1Zqaf5KT0mzWP%20v6tG5/wReXaXe1e9zrpLzkhlF51zDo9kRZt7qbMOkq+k36h1fATLSGEXVzllGJ6TFY0tEJF3VzkP%20Tp+zl1z9T/a/oyxfMou+ZX2lvyMlIrbVePRwpZLbK3gw6v5Lv1Fbnc4FI/Lu9ERn/SRfTr/+yPH3%201HAuFBH1c7lh6sezfpIT068/atU5mV1c7Xxs5GJFmxWOiNrhic76SU5Iu1bnxEg1OsfkyLe9rNNT%20gMuVK6e+C/yb02uzxdSeoilTppDNxuNrUxAFhS9IJs43EZFFtHHjxjVr1lAsb3pPn4jNRVp1T267%20lDmrox6wS2oq/eZR2xF+0cuXK2S4EO6oQg8+81Ftt8UdqqIGiDPJefbvly2ihNdfT73/flGLL5LF%20xaO5zvaSWWTkxayzs0jn+8/f+GSeG91pfLhQzMGoy3qE4Vpu+23/CIso9e67b9apo4BpAA1Rxc3K%20lYZ2tkVBrv07++FDNm8GWzAtm0X0d5E8vV6p6RENZ08xHMKBZBmLhzR8vAQzb4Pe3kdd3Snd3qzU%20qO4hDQ8OZoVkH0ZdMHDeey+b0IQNa8XeaG89yYrCuI9uHrGpUpG0iHCMjRAfGy5uTX4ZG2pulYGe%20x9SeIgGXvD08prZDr45wBNERriJmnVyECrrwFKnxlbkemvStvZDkjNTcy9u79RQ9/Hf4vlHSDnIK%20R54VZI9knjhxgoZ+WTooXdPkQvKtjNQ8VrXde4rIg3Gz5XcKvfSTzBo2tB7LwFOlSoxOQc1KN9NT%208q7o4E5nq9clT0TOGy0yj7QSxV3orJdkCsk9ZoxQ4IVu7Ks6jjr4tqcob0Su6y2UlpMLnW+kJ0et%206OiWxrIZRVvu/jezVjp9hXZn3U4ZGRknT54MDw8vI8U/4F9dT7+Vb0WcW8mkc1RE7mstMs8KEw1z%20K3nuB7vjtvzjbKTTwS/1x9TbX6mER5Kvpd2KXkk6u/cU5cuR+2pzD3TWT/LVtJv5V3ZSo3N0jjxJ%20zecqiLngrJ/kpLQbBVZ2VqNz/hx5rzT/Vr3O+km+knqj4CrS2b2nqEBk3v9iPdBZP8n/pV4vtOpZ%20NToXjIy6HDtHPWcfJaenp1Ogo4iICB7xVU6XU68VXtWFqfDnFIrMlxir3FvrF8mJKddiVpPO7j1F%20hXPmS2jmgc76SU5IuVpkdVc1OsfkjL7UzLbmgneWC876Sb6UklR0dTc1OhfJmf9is68VQ8uFzvpJ%20vpiSVMyqs3tPUdGc+S94orN+ki8kX7ljzXNqdC6Wq8D5prPsf4WPH7eehwFPkbP5idGfy1HjXNRd%20oEAB8a1cJDo6mn++TzoNmg5EMroZjurbfw/bVqGw7ZtvlT+9ZlDS/zpMm2aziEibrGOm/K+YdxpQ%20EKHHbGbQ5HnswXPeCfKy1B1JzGYRkYz27b0UpGmxTv2qxddyLPF8fvbMS+FbK/g5YqSmzYUwEAAB%20EAABEAABExEw3fI5cvtwt6C88k02ZlzA+yNrq4bC/uGHwFISpxKRRcTfi5OL/Ngnc+vfDaPIFX8y%20X+XTTun4Xb+cqKPpEEn5eJKQR4vIv51pXUpuWOr6s7SNmOLUS6HqDdPBYUWdurOP/8cu58325cJq%20rOoQtrCaB0tl/NsK1A4CIAACIAACIBBwBExnFFWokLm1gGIn8GDZ9IavnaMkvpVBC0cQ5eTntNLr%20unXreJ7ixYvTa4cOHeiV/PuUh94MzdrX0dhfYYilBnxbv6RF7AOhgA0//BBww0hfhSkOqXDrESj5%205FZ9K9ZRekbVqq93rywqqPq31S4yLHXZIRlFtyOUmCe93p4VmcSe78beb8w6d2cV32XtXmL/2nzA%205tEUmoAACIAACIAACAQPAdMZRRRcm5/ESpEVaCMQuYx4WDlKtGWIn7hKgeO4N4l/To4gvo6Zijzx%20xBP0Lb3Se/qEDi8qdXuLTuss3wJJo4L8ICNK3elITX+nK1GR8Q3usWmBFXRyj5BxS8cjZqWEfv2Y%203Zp1f3egl/V/3LL0jEa2fm91kC37jBngDWl4lFX+RzKKunb1sgG6FcsIY7PqsAFPs7m12K936VYN%20BIMACIAACIAACIBAFgHTGUWkGJ3Ear+qjT7pRxNiJ2nhwoU83BzZQhSPm1tE9AnF4OYlKO4Ct7Xk%20RN9yk8nvad7jklE0dy67ft3vKplFAem4uluVKiW+9JJZFNNCjxf7VFlT0Sao5SG27iMWo3Pnd/1Z%20Up2eOBRzflKGFm2EDBAAARAAARAAARAwPwEzGkXkDqKw2mTDcDuHvEBkvezevZu7iRwmchZRMG45%207g29p0/EbiIqRQG+SQ7PQ68U6VucWeT3flpX7U6bAyQlhZFdhEQExo5le/cKEpecW8WBS4tWiG2X%20wjU9+Rvb9AGreFavBtGhWF1ko6hLF71qglwQAAEQAAEQAAEQCBwCZjSKiB7ZP2TDJCYmUuhhChCs%20sF7IZJIPM+a0yf6hnHRCEYXtpld6L1tEPA/Joc+5TPIdmaubOne26YMVdMSCQkBKbiL24os3HnvM%20XF2mhTaJUazZq2yTdCRapX+sdhEd56dH6rOJhWctnTtRIpo1a6ZHLZAJAiAAAiAAAiAAAoFFwKRG%20kdcQyRCqW7euvTnktUDjCnbqZKtr82b5HB7jdDBVTW++aVOnSBGLdLCPqdT0XZmk3Fa7aFlmiESr%20PPLn0OmlnXdKO398r+a2hD6bbYK+bKo8UUSjSiAGBEAABEAABEAABAKMQLAZRQGGX1a3fHn25JO2%20D+Yoz90L4KZ5ofpHH7EVK2zlyCIqLJ3m5IVAcxe5Fcme6sOm18um5ZyZGW8uPamh4mQR0QlFPCXl%20zTEjtoyGwiEKBEAABEAABEAABAKXAIwiM/Xds896ZBTdykh1+2em5qnVpdIfV9gbb9hyP/UU69lT%20beFAzvfSs+y9FtkaMPGrI6O/tEaZ1yT13mQTM6VZqZs5IzQRCyEgAAIgAAIgAAIgEOgEYBSZqQdp%2013v+/JkKnT3LFi50oVybXePyLG/v9q/TXtshoWZqqitd3v/igO3rfPnYhx8Giua+6zm8JesjraMk%20ga8vPsq0CIfw5npWSYrfMKXZ/b5rCwkgAAIgAAIgAAIgEBwEYBSZqR/Dw+Xpb5jzFXTJGalLzu20%20qm5Jd/XH2KKzcqwxMzXWiS6DFhx//NAF25e0ju7+0Jq+T23A2vZmKTkkQDQSKMgERZ7wNlGY72Er%20bYU/aRj2d5E83gpDORAAARAAARAAARAINgIwikzWo/IKuqVLc5w750o/Swa7sNzp30VpFmyyVjpT%2058nfLKPn/Gr7lk7RMcHpusbDW1yVPf4m+0veRbV9O3v0UbZsmXfKUNiG/Dczi1Jch/da4ML3DiRK%20gQAIgAAIgAAIBCcBzI1M1q+PPMJq1hQ65V+61Az6NTzGRi1lX3zDFn7OPv+W9d1geeLwpaJXkrXV%20rfRFNvtLKd4aHSpKbqJQTTtKscf7R+wqaz2qKzMlJjLaXpV1HrF6MC/9xKr+bcs+sjm7lE99aeQE%20ARAAARAAARAAgeAnAKPIfH0sOYvye+sZ0KRVERls8Cp27RX24yTrm+7bWNv9jGbYn8yzbBi69a8u%20y1j16uzjj9nly75XR4fnzP6S3XlFkkQWEdlFIZx+L8LqjK8/t+F92Ri8/TZr2FA+09Y1oaa/WO1Y%20kY4UZxMbhzBTNB0EQAAEQAAEQAAEHBGAUWS+cSHtqs956lTebdv8omKrg+yPQVYHUVSK8/r37WOv%20v24Nlt2tG/vpJ1/0JIvo0dOSgGHDGK2dC/mUHh7W843aTHFG08aNYTVrxnzyiVs8Pbew1ZNtudLC%202fPPuS2EDCAAAiAAAiAAAiAQcgRgFJmvywsVYp07C7Wi/eEs6rfs9NIprKR6D9A337AGDVirVmzj%20Ri+Ajl7COu2ylfu24b1sxAgv5ARtkXfeYYsXs4IF5QbGfPrp/XXrsqFD2WnZmszMQusb581g07Mf%20dkUW0Z57gxYSGgYCIAACIAACIAACXhOAUeQ1Oj0LSs6i/EuWsIQEPStTyh4Rf/SDr36RPz1XgM2o%20y7p3tUZFe60Dm1EvbEd5R0epLl8e9r//lejZM++WLeoVnvQ9G7Talv2nijE9Xq+lvnio5Gzdmv3y%20i2wtU8NzXLjARo1ipUuztm3Zq6+yCRNYfHzk2PGrR2zfMGxHhz3Z2Ax5is2pHSq00E4QAAEQAAEQ%20AAEQ8IgAjCKPcBmVuUkTVq5cZmUWC/vyS6MqZjnGvz9s/lG5undbsvvGsBe7sC8fYxQVbXJDeh9G%20e13un9WSjRvHHnxQoVvUTz+VoJBx9eqx+fNdqx1zjZE3440fbLn+Lsy6vF7DsMYGWEXFizOKzR0f%20z+6+W6k5+ZFoNd3AgaxTp8ihw5vul2Ka387a7Xk2OjbAmgt1QQAEQAAEQAAEQMAwAjCKDEPtYUUv%20vGArMHOmh4W9zf7FFzkGDRaFr+dkT/diI1pkPzMn6+t/C+e2zsLJfbF6NWtst3l/61bWsSOrVInR%200i8KJ22X+mxiB0Yx2ZuRGMWefSH8r6I4P8dl9xHV335jb76Znn01nbMy6x9ktd9m3zzi7ZBAORAA%20ARAAARAAARAIAQIwiszayfL5PMeOMQNic1OkhJ49BY7kHKzFK2zRwyr4NG3K1q5l69ezWDtnBJlM%205E2ig0fvuy9ns+aLxu2a/dH+5Z+yy2+wz+Kz7Vn6M4Y1ep39lOUeU1FrCGeJirK8//6pn38+TwEY%20iK2T9FNZ1qMra/wa2xVah9+G8MBA00EABEAABEAABLwlAKPIW3J6lytShMnOIr1X0F26xJ57Tm5T%20m95sk0cmypNPspUrLRs3XiUbyT79+Wf4uvVtfj777OYzLQ6zgjey5VhfwWoR7btHb6bBJT8sLKld%20O0YeOYoBSNE4pkxhgwaxrl3TXnv1xZerVvr48Qb92UynFlNwoUBrQAAEQAAEQAAEQMA3AjCKfOOn%20Z2mLbBTRrPdotq0+Gtf8yivs99+FzB4vV1ldyasaGjQ49/HHf5G2PXqwsDA1Ioa3ZI1fZydC+kQi%20NZyc53n4YdayJevdm40ezb7+OuWDCTMa3ffLPdG+CUVpEAABEAABEAABEAghAjCKTNzZdercpNNR%20RdJvZ9Fnn7F580Q9E9qWnfmkT16b5AceYDNmsKtXrWIpvHiBAvaU/ynIxjZjxSew91qYuAugGgiA%20AAiAAAiAAAiAQAgQgFFk6k6+QuujRKIVdBkZ2qt76BAjN1FWyvhfw4FdK2pTS1QU69DBGjDtv//Y%20nj0pmzY0G/bo0wNrdHmBVRjBSo5ng1ozCvaNBAIgAAIgAAIgAAIgAAL+JQCjyL/83dSe1LZteuGs%20E4ESE3WJzU0WEUX95ilXrtTJH+tCpHr1jHp111S7Y9Ejd9FpOUfv1KUSCAUBEAABEAABEAABEAAB%20LwjAKPICmqFFrJvpRZo2TeO6Bw9mFHROpE8+sTxQXuMqIA4EQAAEQAAEQAAEQAAEzE0ARpG5+4ex%20K888Y1Nxzx5rnDGNUl46PohiOovUpYscklujSiAGBEAABEAABEAABEAABMxOAEaR2Xso9d57rbEK%20RPr0U600LjJ2rE3UffexTz7RSjLkgAAIgAAIgAAIgAAIgEAAEYBRFAid1bevTUs6I1Ve8Oat+kXH%20j89FZ8KKNHmywxhx3opHORAAARAAARAAARAAARAIGAIwigKhqx55hMXG2hT96CNflV67tpB8GizF%20WqCDbpBAAARAAARAAARAAARAICQJwCgKkG6XnUWLF4dvlqIjeNqCjIywfv1shehMoQ8/9FQG8oMA%20CIAACIAACIAACIBA0BCAURQgXdmsGfvf/4SuER9M8l7vN95gv/1mKz5pEouI8F4aSoIACIAACIAA%20CIAACIBAgBOAURQ4HfjWW0LX8JWrGh244I3q8fGMtg+JRAYSmVtIIAACIAACIAACIAACIBDCBGAU%20BU7nN2kiGzAj4o96rPrp06x3b1EqpVw5Rm4iJBAAARAAARAAARAAARAIbQIwigKq//v3F+o+eiyx%20z+o/PNOeLKIrV0SRC+++61lx5AYBEAABEAABEAABEACBYCQAoyigerVhQ/bcc0LjEfOOFripWv9h%20w9i6dSL3xQEDbtaoobowMoIACIAACIAACIAACIBA0BKAURRoXUvunRw5uNJFklImz1On/7JlbORI%20W9Z27S53766uJHKBAAiAAAiAAAiAAAiAQJATgFEUaB18771MWvbW9Wf2/HZ3Tdi9m3XsaMt0zz2W%20KVPclcH3IAACIAACIAACIAACIBAqBExqFCUkJPTp06dw4cJhYWFlypSZNm2amg7ZunVrzZo1qQgV%20pOIkRFFqwoQJJI3LnDdPpZNFTc3G5hk8OKNuXVElOYtq/OlUgdLnrrG4OHZTWmZHFlGRIsZqjNpA%20AARAAARAAARAAARAwLwEzGgUkTHTtGnTqVOnXr58mcidOnWqV69egwcPdk2RjJx69ert2bOHslFB%20Kk5C5CJkJg0cOJCkcZlxcXFkI5m3Z1xqlvaxLWpcvmQ2bwa7J9FBgYf+uLJi+E/UWtt31OTmzQO0%201VAbBEAABEAABEAABEAABPQgYEajaObMmdy2kdOYMWMOHjzoDMHp06fJyFF8S0KEO4jekJmkyEA2%20EhXUA6veMi1Vq77xQmVRS+mLbPlnSn9R3G7L+uHb7//3uk0ZOpVIOuxIbyUhHwRAAARAAARAAARA%20AAQCgoAZjaLp06cTu0KFCh04cMBisXTo0IGj/O6775wxnThxIv+qd+/eVCSejii9nZYsWaJ4Q19R%20BsrGPycDLCD6yV7Jj1qV/rBVafH5Q2fYz+PYqKWs3gn29D626HM2d4al2JVkW8EXXsCpRAHa11Ab%20BEAABEAABEAABEBAVwKmM4po7Rxf4UZ2S5UqVehN3759OYK9e/c6Y7HudrBpsqOm3A4h0DErrgD/%20nNL8+fPptXTp0vyrkVmh2EQGXSnrJLzf8xXn1LbJjshgg1exnyayBdNYm/3Z63zlFbL/dFIDYkEA%20BEAABEAABEAABEAgoAmYziiKiYkhTw6l0aNHc7JJSUn8TalSpRyypiVw3I6qVauWyMCFJCZat9qI%20dXc1sk7moVr4e/t1eoHVnV1eYJMbulN53Dg2ebK7TPgeBEAABEAABEAABEAABEKUgOmMIkU/kMEz%20fPhw/mGnTp0c9tLZs2eF1USxE3jMOvIIiehzV69e5RmqVasmJJBdFBx9/loH1rMLu5TPQWu2VSj8%202Af/YwMHBkdL0QoQAAEQAAEQAAEQAAEQ0IOAqY0isnBowRt35tBqurpSHGqHLGgtHMVO4DHraL1c%207dq17aNy2xekQN56kDVS5hd1WdEPWIeebElVtrIyW/wwm9iIVRsSXnds/b1lCxupCeoCARAAARAA%20ARAAARAAgYAjYGqjSNCkzUL9+/d3C5cvohOJ/h06dKjbUh5luGWXeHG+Wk+RPJLsQoJK4d/VYG16%20sxZ9Wdte7K12bP89mfX7LtlZQyBZJhMCNNSPaIcwLM4vFv0kZ1aqpoIQ6EHQyNbJakaF2zu8yvtz%20cN9FXVAiPr5w1k+yUMzRj7dqnS2ufv0NlewbZ1c0IDl7R/oyngOas/qGB27OMDU3LFqNJm5MRjaV%20Dhpau3Ytr5HsomXLljl0FpGrh04o4tnIoUSxFigAt4jQTQ0UGcaPHz9gwACeUwjfsmWLWx+UaLVA%20oeBw7NgxxScplrTKRwczSwa7sMwVtLBwVqxVzrAchx/I3EOlhrAq4V5JTrakPWRVO51dWO5Uk9uS%20c4XlOOSJzvpJvmVJrXJ0iDudI1ixlrnDIg8+MEoNYZ5HR8kZqVWOqdM5PPJgeU901k3yzYyUqseG%20quGcJzzngfIj1XPWT/KNjJSHrTqnsQsrnI/nHKxYi7zhOfd7orN+kq9nJFc7NkyNzlHhufaVf089%20Z/0kX8tIrq5O53zhufZ6orN+kq9m3KpxbDizpLILK52PjUhWrHl0eO495Ueo56yf5KT0mzWPv6tG%205/wReXaXe1e9zrpLzkhlF51zDo9kRZt7qbMOkq+k36h1fATLSGEXVzllGJ6TFY0tEJF3V7nMFf5q%20aOsn+b/0G7XV6VwwIu9OT3TWT/Ll9OuPHH9PDedCEVE/lxumhjDPo5/kxPTrj1p1TmYXVzsfG7lY%200WaFI6J2eKKzfpIT0q7VOTFSjc4xOfJtL+vUl1CuXDn1XeDfnF6bLab2FJF5QyYNj69Ni+Kee+45%20t5RF9LkmTZrwzNqujsttl3gt1AH2ya22cgYXEnwUDskm5EwjRuXwoHwe9aB+kp09EXDYEI90hmQF%20LpVjw/Wdx9j7ho8qZ14Ovt1HHbbYhWS116CZOEPnbL3s47DT5Ocb9zoT/sLiN0WP3xT1l1vg5jS1%20p0hgpagJPKa2Q6+OcASRIbRmzRpeivYj0f4iXoReuSvJoadIja/MRQfza89eSHJGau7l7VV6inKF%20R95qqTyFiWSeOHGC5JctW1ahgCrh3J/joeRbGal5rGq79xTlDo+86YnO+km+mZ6Sd0UHdzpbPUV5%20InLeaGEdSHJywVk/yTfSk6NWdFSjc96IXNdbzFOvs4+SMzIyTp48GR4eXqZMGUWl19Nv5VsRp0bn%20qIjc11pknhUmhPhF8rW0W9ErSWf3nqJ8OXJfbe6BzvpJvpp2M//KTmp0js6RJ6n5XEU3ueCsn+Sk%20tBsFVnZWo3P+HHmvNP9Wvc76Sb6SeqPgKtLZvaeoQGTe/2I90Fk/yf+lXi+06lk1OheMjLocO0c9%20Zx8lp6en03r1iIgI2gasqPRy6rXCq7owFf6cQpH5EmNnK4r7RXJiyrWY1aSze09R4Zz5Epp5oLN+%20khNSrhZZ3VWNzjE5oy81+0Y9Z/0kX0pJKrq6mxqdi+TMf7HZ1+p11k/yxZSkYlad3XuKiubMf8ET%20nfWTfCH5yh1rnlOjc7FcBc43nWU/4z1+/Dh9CE+RWYw9OWqcvU7FixfnHzoLqxAdHc0z7Nu3TxRX%20E4PBLO2HHiAAAiAAAiAAAiAAAiAAAroRMN3yOXL7cK9fnz59RKtlY8YeBZ1fRDuO6HOKUydMnQ0b%20NvCcZBHxQ2B5Bv6GsvH34uQi3QhDMAiAAAiAAAiAAAiAAAiAgKkJmM4oqlChAgdGwRL4diB6w9fO%20URLfKqDS+jr+CYWbI4OHCvIIDWQscYuoQ4cO9Er+fZLGs/H8jRs3NnX/QDkQAAEQAAEQAAEQAAEQ%20AAGdCZjOKKIzVSmCHLWaIivQRiByGYk4coMGDeInrlLgOO5NEnDEua5Tp04tUqSICEb39ttv8zyt%20W7fmb0gaFaRs/N/u3bvrTBjiQQAEQAAEQAAEQAAEQAAETE3AdEYR0Ro5cqT9qjb6pF+/fs5YUkxt%20CqKg+JaKCJuHXEnc1pITFaGld6buHygHAiAAAiAAAiAAAiAAAiCgMwEzGkXkDqIgcmTD8J1CFM2G%20rJfdu3dzN5GzRAcQrVy5kltTVJDcSiRELkLRukkOj41DrxTpW5xZpDNkiAcBEAABEAABEAABEAAB%20EDAvATMaRUSLjBmyYRITEylcMgUIVlgvZO3w84UVXGNjY8l2os+p4OjRo+2NKJJD0rhMsQ3JvJ0D%20zUAABEAABEAABEAABEAABPQnYFKjSP+GowYQAAEQAAEQAAEQAAEQAAEQsBKAUYRxAAIgAAIgAAIg%20AAIgAAIgENIEYBSFdPej8SAAAiAAAiAAAiAAAiAAAjCKMAZAAARAAARAAARAAARAAARCmgCMopDu%20fjQeBEAABEAABEAABEAABEAARhHGAAiAAAiAAAiAAAiAAAiAQEgTgFEU0t2PxoMACIAACIAACIAA%20CIAACMAowhgAARAAARAAARAAARAAARAIaQIwikK6+9F4EAABEAABEAABEAABEAABGEUYAyAAAiAA%20AiAAAiAAAiAAAiFNAEZRSHc/Gg8CIAACIAACIAACIAACIACjCGMABEAABEAABEAABEAABEAgpAnA%20KArp7kfjQQAEQAAEQAAEQAAEQAAEYBRhDIAACIAACIAACIAACIAACIQ0ARhFId39aDwIgAAIgAAI%20gAAIgAAIgACMIowBEAABEAABEAABEAABEACBkCYAoyikux+NBwEQAAEQAAEQAAEQAAEQgFGEMQAC%20IAACIAACIAACIAACIBDSBGAUhXT3o/EgAAIgAAIgAAIgAAIgAAIwijAGQAAEQAAEQAAEQAAEQAAE%20QpoAjKKQ7n40HgRAAARAAARAAARAAARAAEYRxgAIgAAIgAAIgAAIgAAIgEBIE4BRFNLdj8aDAAiA%20AAiAAAiAAAiAAAjAKMIYAAEQAAEQAAEQAAEQAAEQCGkCMIpCuvvReBAAARAAARAAARAAARAAARhF%20GAMgAAIgAAIgAAIgAAIgAAIhTQBGUUh3PxoPAiAAAiAAAiAAAiAAAiAAowhjAARAAARAAARAAARA%20AARAIKQJwCgK6e5H40EABEAABEAABEAABEAABGAUYQyAAAiAAAiAAAiAAAiAAAiENAEYRSHd/Wg8%20CIAACIAACIAACIAACIAAjCKMARAAARAAARAAARAAARAAgZAmYFKjKCEhoU+fPoULFw4LCytTpsy0%20adM86qWmTZtSQUqKUhMmTCBpXOa8efM8konMIAACIAACIAACIAACIAACQUnAjEYRWURk1UydOvXy%205csE/dSpU7169Ro8eLDKDiBrZ+3atfaZycoaOHAgSeMy4+LiyEZSKRPZQAAEQAAEQAAEQAAEQAAE%20gpWAGY2imTNn7tmzR0F8zJgxBw8edNsNZFANGTLEPhtZSmRlKT4nG+n06dNuZSIDCIAACIAACIAA%20CIAACIBAEBMwo1E0ffp0Il6oUKEDBw5YLJYOHTrwDvjuu+/c9gQZVNwXpEhLlizhn8THx5PM3r17%20838pv1uZyAACIAACIAACIAACIAACIBDEBExnFJGrh1s1ZLdUqVKF3vTt25d3wN69e133BJUdN26c%20wzzz58+nz0uXLt2xY0d6M3LkSJ5t3bp1Qdy7aBoIgAAIgAAIgAAIgAAIgIBbAqYzimJiYsiTQ2n0%206NFc+6SkJP6mVKlSrtszdOhQ2oZElo8im1h3V6NGDf4V1cLf26/Tc4sMGUAABEAABEAABEAABEAA%20BIKJgOmMIgVc2vMzfPhw/mGnTp1coCfLh+8amjx5siLb1atX+SfVqlUTX5FdFEwdibaAAAiAAAiA%20AAiAAAiAAAh4R8DURhFFhyO3D3fm0Gq6unXrumgkRU2gb5s0aRIbG+sRi61bt3qUH5lBAARAAARA%20AARAAARAAASCiYCpjSIBmoIu9O/f3wX3VatW8TDcDkPPBVOHoS0gAAIgAAIgAAIgAAIgAAIaE+Ab%20eFwnUaW7jBp/T24f2S7asmWLswr4PiLyJvEMCoWpIP9k/PjxQoIQ7kKsfXUa04c4EAABEAABEAAB%20EAABEDAxgWPHjmk8xddTnNdmi6k9RVOmTCFoFESbmkcRFJ577jmHA4ZW2fGAda69SSYebFANBEAA%20BEAABEAABEAABMxIoFy5cmZUS2udwmS/ijPhYWFh/Cs1mbXW0CqP4mjzmNrk1bHfWdS0aVO+ds5h%20Io8QramrV68efUueogEDBvBsopS/GqUHKMgEARAAARAAARAAARAAgZAl4LXZYmpPkehOOWqcF30c%20HR3NS+3bt08Up0ONvBCFIiAAAiAAAiAAAiAAAiAAAkFGwHRGEcWCIwuPUp8+fQRr2ZjxogP4IbCU%20xKlEZBHx9+LkIi/EoggIgAAIgAAIgAAIgAAIgEAQEDCdUVShQgWOdd68eTxYNr3ha+coiW9l9GvW%20rFHs1xLf0uf0Lf3boUMHeqWtRySN3tAxrzxP48aNg6AX0QQQAAEQAAEQAAEQAAEQAAGvCZhxTxH5%20iPgxrIo0aNCg0aNH04dutwPZryYkWyguLs5eJplJpUqV8hofCoIACIAACIAACIAACIAACJiEQFDt%20KRo5cqT9qjb6pF+/fl7jplANFLBbUZziLsAi8hopCoIACIAACIAACIAACIBAcBAw3fI5whoTE0Nr%203siGoTNb6V86g4isl927d9PnvkCnAN8kh59oRK8U6VtEovNFLMqCAAiAAAiAAAiAAAiAAAgENAEz%20Lp8LaKBQHgRAAARAAARAAARAAARAwC8Egmr5nF8IolIQAAEQAAEQAAEQAAEQAIHQJGDG5XOh2RNo%20NQiAAAiAAAiAAAiAAAiAgF8IwCjyC3ZUCgIgAAIgAAIgAAIgAAIgYBYCMIrM0hPQAwRAAARAAARA%20AARAAARAwC8EYBT5BTsqBQEQAAEQAAEQAAEQAAEQMAsBGEVm6QnoAQIgAAIgAAIgAAIgAAIg4BcC%20MIr8gh2VggAIgAAIgAAIgAAIgAAImIUAjCKz9AT0AAEQAAEQAAEQAAEQAAEQ8AsBGEV+wY5KQQAE%20QAAEQAAEQAAEQAAEzEIARpFZegJ6gAAIgAAIgAAIgAAIgAAI+IUAjCK/YEelmhHYunWrZrIgCARA%20wHMCuAY9Z4YSIKAlAVyDWtKErBAmEGaxWNw2PywsjOdRk9mttBDJcPDgwatXr1JjK1SoEBMTY/5W%20JyQkzJw5c8OGDaRqmzZtGjVqVKpUKZOrPW3atF69evXu3XvkyJEBAZl4nj59euLEifRK7xs2bNiu%20XTvzc6axsX79+r/++ot0btKkSZUqVUw+MLh6AXcNks7z5s2bNWsWvalevXr79u3Nj5ogV61atUaN%20GvPnzzf/SOYDQ77Xkc4vvfSS+TmT2qtWrTpy5Ai9qVSpUmxsbEBcg3SjO3v2LKlavHjxQBkeuAYN%20GFoBeg3S7W7t2rXE55577qE5UkDMOgj1b7/9RjpHR0cHxI1Ok+HnvdlCdo7bJFR0mxMZiMClS5do%204ij3K83aT506ZWY4Bw4cKFSokKwz/RsfH29mnUk3oXPp0qW3bNlicm1JPXvO5odMQ5emvPLY6NCh%20Aw1yM9MOxGuQdFZwJuaDBg0yM2fSjQYDHxt0MX7++ecm15bfnxWc6f5sfrUFZ06bmkA3E5OrTaNX%20vm/Qz6LJ79K4Bo0ZUQF6DdL9TTFHWrlypTHEvK6FJhjy1I5mSuafcnjdWLmg12aL1fnjNnkt3a3k%20oMxgP7PhAOmn17RTSWc6m/z6IaTyTWr8+PEmH1EKa5nuUCZXmNRzODZoimZmzQPxGlTMIMXANvmU%20nW4RgWUw011C8STS5E+s6EJzODbo7mHaHxRnOhN5ugea1pzDNWjMXT0Qr0Gyfxx6MEw7mKkrnelM%20tw7zm3M+DkWvzRYYRT6SVxanJ2HiuSld+XSTlc10em/CsSimNVw9aoL8VNLMMwbSTXGfMvMDVJrB%20cG35bIaSuJ9SQwi7Cac4YmwQWNKQhoewN0z7YxCI16A8kul5JDVBnjeY/NkEjecAeoCqGMDCd0FX%20H7034e1OjA37+7OZXXNiSNCPIA1mxSAx4QMsXIMaT4aciwu4a5CaIgaw4v5s5ueD4iEsKUlXnOKZ%20rPlXfPgyIGEU+UJPy7JiKiNu+vRbq3j+ZLZHv0Jnee4lnDBmvuap54SewviUl/GYarWGmKzLEwIy%20M+TpgtlWmIihK4x5Gs9cYWoFn7ubCjINiUC8BsXYkG8O8tMKLW9SWsuS9ZSnwtzIJ+PZVNY+15Au%20NIGBNJSnC2ZbYSIe98prKflzK+51oVka5TEVZDGeZc6kp/yIkGbG5tQZ16DWdwilvIC7BsUDTRq0%20ojFiNR2Z03QPpGS2Ryr2hgFdmPJ8g65H0z7c9HEQwijyEaBmxR1Obki6Yiya6vfAoVEkPxox26Uu%2095Z4vKd4EMKnC3TNm8p3JDxFvAn2ni6ewTw7SRyODcUDJ+77Mo8LNBCvQWc6C5s/IJxFNFOXHwDR%20qKBrkC5AU3nIxegVtzWFE0PM2EwyZXc4NuwXIBFkU7lfFPc6cceT7x6mmpPhGtRsGuROUMBdg9Qg%20+/EsBozsJzfVLgl7ztQQ+8f0Jv9xcTeaHH8Po8g7brqUEg/DFENNMRbNYxfJD3rleYCY35h5kYZw%20FvH9OfZzBbo25Kc7unS5aqFiXSJ/GCm0pX8VK0xM4k6Ul6Jxj5B9rAhx9zHPvTXgrkHZPJY9b8JL%20YHKHrbiHUENIZ0XUFhoh9IlJnq2I57v8Diz7NBQPVkxyiyYlBU9+K3YYD4Bfhia5b5CSinudfI+U%20XUbmsYtwDar+HfM1Y8Bdg9RgYWAIs0expVn8DprkvkE6KzjL3aZ4TG+e325fx1ZWeRhFWpHUQI68%20uc3+J0oOBiIvLdCgYh9EiDW+ipVdfGDJEzK+q8Qk8xvx9JHryS9s/nBafnhjnvVdpJtQjBtCCr+Q%20PF0wiS3q7NZPo4LAKnagmcRfFIjXoHgGId8WxLINmjuK65uuPhOGW+T+Fn7HI7UV0dLM48QQ6z/5%204xI+VOTnJvJ0wSS2qCKahTz94rtA5YdBJvEz0ygVtpz9NJHuhMJBR9lM4pTDNejDJMKDooF4DTp7%20Gsjj9NI1KE/tzPMcVsyF7J8+UC/IblvzTJM8GEnOs8Io0gSjZkLkeaS9CSFfXSYx0PmjR4UJZz8h%20E88sTbUeRuEson8Vfm1TzSDt5zeKSYwwnMwTm85hUCZ5HiOeSJlH54C7Bvkwtp8+2ke2EL9k5rE0%20SHnZWcTtIkWMGZMY+Q69nYpJjDxpM8kDIEVoXf6TLz+DkB+4mEdnMTWhwaCYdcn+LvM4uHANajYN%20cinI3sYw/zUoW/JiYMs/3/J9w19TO8UeIQVn+5uw+KE0z2+3JiMQRpEmGLUUIs8j7U/wcLgPVcvq%20PZfl8FmdYkImP/011f48wZPuRPKNSfYXmWcGqbCL7B/hiPuUeSDTNIvup5SE8ooBI4aKSR760hUQ%20cNcgtyUU165iFat8VoZ5zAzZCuITXIWnSPicTTI83J4YJsa5eSATOtKK7mPC/lE4Zu3Donj+O+B9%20Cf68XFFeYcuRhvIAkC1n7yv2oaRDnU1+DTrUmTMQPM12DTrU2eTXoDPOdNHRNUiv/OGU4pmmw7Ao%20PoxQz4ryAaB4EK+w5UhtxUMT8ZQtmJxFMIo8Gzoa5qZhJMc9lH+lFL8HirHodZ/5rrwLnV1MyOTZ%20mPEGBl3GwlSga95+psJ7gZ52iJkBNzbE5MxUOiv2XSgeowqdjb9JueUsJmSKh7sO93T6PlZVSuCT%20RUqK53OmvQa5a8Whzoomy9uKZG+AXxbfutZZLOKS7xV8DsFvd6bS2X6drXxXEU0w/r6hZmxwL5zC%20r+gsZI7Ki8iXbGKxnD0uxZxM4bf344TMhc6mvQbd6mzCa9D12FCsdTfJNeiWs3juo3im6Sxchy8X%20l/qy4mpSLElVrJRTPKYXY8Yv9zr1rfMop9cTbJxT5BFnZWaHZ2PJk0X73136Vp4lGL/21K3OciPl%20pVxiMYzxMxt5ebq8nl5+pGcfCkbMj+mN8XsD3OpMGRS/B/SvvNVb3kbi0zBVXditzlyS2AwgAoj7%20cfmc/aZzHvRMNNqE16BbnRU9Ju/N4OPf+G0YanRWLJkTW4yoObwXDHYTudWZMii2zPGnKvKHBntr%203erMx4a86IXf6OgGKMaJ8cvnZDPYPuAnNUrhOaRbB6ktP7MweGwQMdc6m/AaVKOz2a5Btzqb8Bp0%20qzMfG8KZzAM/UkPk33Tjl8+5fWytCENF9zoezV/MQ0yyJVj1hMVVRhhFmmD0TIj93Ud0g+IhOo1F%20+3BMPLPBV456nQUL+5MZjf/FtY8BzekppllyNuOtIMXoUamz4uwOeb2f8et2VOrsIgCdSXS2Xx5t%20nmuQxolDzi6WdNvHujD+10ulzvLvLj+k2LO7qqa5VeqsCMQkX4PG30ZU6mxvOwm1jdeZOk3xy2K/%20YpzyKM5kkzn7ZU+RGp3FeDTDNaiSs6muQZU6m+oaVKmz/GxCHsx8xYrBtz75R9nFY2vK5uxXHnuK%20+MUOT5H3P8L24Q5lS91+UyndVRWmkfFhgjzSmaNRPF0w2IojBYS3Svip5WeissNX+ASMf46uGEbq%20deb3X8WUnT958n5oelXSI50dbjk1fmYj60xTLvmhl/1A5Y8k/X4NeqQz70mFF9TMnGWfgPGLP+WB%207ylnGjCKB0Ai9q5X15M3hTzSWbEkxuFzIm+U8LaM4peCr5a0nxpSNgVnh9m81cKzcip1NsM1KBrm%20VmfzXIPqdeY5zXANeqqzfRQiv0SZl6PMicfWdAemmxhdX/Qq/yDKP5T8vqFYXuHZVWTK3PAU+aFb%20xL1JsY9I/DjZ60R3K752jowTg1dlKCwcj3QW80i/PIMUM0LZhpSfiyh+dwmvf2dj8i+oSp1571Cj%20eJBrgx8yKWbeKnUmJek+SzdcSjQwjPddyJyFDSme/vL9RaSY4vfA79egGM/qdaaWisd7xj+D9IIz%20DQbjfYaK+613nGk+wa9B4/3hXnCmIoSaBjm/DP3LXFx6ss0j4pTySC2ij4gw31Dn33u1Rzr79xoU%206FTqbIZr0FOdeX7/XoNe6Ew/3Nz2oKQIJWLMxNRh9B17a01xxjqpTQXpGqSh4pcph65wYBTpitex%20cGe70+xD6PpBOSdVeqczn174y/3iLFKfmc+Whc7GjHmHu1odLg/w49NoZ5N12eHjVmcxE/LLJDJ0%20OBszbp3VEoic5bbw3xceNkbeMMmnjNx35Bdr00W3qtfZv9dg6HD27zUYiJzlxbR8R5/9FmthJBi/%202McvHQqjyA/Y5WEnz1ScGR5m+DHwWmcXYUD1Ri+v/JYXlTkzPMzAGTrrPSqEfPFYmruqZPI0OZMX%20yxm/0d8ZBO905g/2DAOrqMg7nf2lLa8XOhvMX/bT0nuH55v5ZYmECw4e6ezfa9DeicH39wcfZ4PH%20rbPqPBob/tVZXjNJv3py0F2aKSnWJfplWYfBfGAUGQw8szqx+VIeZA4n63zTiBnGYiDqLMK8KHZh%202Y97Dt/4DTn24w86G3NN8h6XDR4+RRBDRY5wZfxuHIcQoDPGhjMCgTg2HD5c5wtyqDnygwkXW8CN%20GRIOaxHOIuisay+As654SbgiHIjichPf+mvVj97Nl+XDKDKSdra6FDsW+HeK/pBPF/Hjs16hdyDq%20TFNb+xmtWHTEPXX0kyaeDftl+5NiFEJnYy5L+yXRRF5eJC1fgCZZPA2dMTacEQjEsSHaQtcX//nj%20T6bkhT1it60JnUXQ2YDrEWPDAMiyXWT/dFh4kIJ+ER2MIgMGm7UKWprFt4dScnFnlyfr8q+CXwz0%20INZZsVJRvh0Yv/VCJWdT6UyDk2+15LstnV1Fgaizoi1ibBg/MPjUUA1n6OzjfRycfQSosrhrzvxa%204z928lHawmXENx2prEurbIGoM7VdPi5Z8UDHnJyhs1Yj1q0cZ2ND/NjZPxp2uGvRbUWBmAFGkRG9%20JhZECdxk/Di8uYtgIPSTIK/3NX75XHDrLDwAtHpKPpTW+Fjn6jmbR2f744bIz+bwAVIg6mweA0M9%20Z+jsy30cnH2hp76sW870eIj/RMoHttJvIn3OHxcaf2R5IOps72QTh4TyzjIhZ+is/jryJadbzmQX%20OdxDK6ZJJllJ7gsE12VhFOnHNlOyi2ge9hF1xN1KXk5t/Ew96HWmvhHr5QRq439xPeJsEp3lgATi%209sHfEFJ7U98MnD3VmYe/p7YIT5fxrlrorPut+XYF4Gwqzoq9DfITa7oYDY6Fo3JsmEpn6k1nh2zK%20B+NCZ9+HfbBylv2KdAHy9SBimoTlc85GDg5vVXtNCYcP3Ybso3nYH+AtByTlE03jNzOEgs72gXeM%20X7DuKWcz6CyeGNFApfFM/yp+GxTnLQSizoozIv0SgcNTztBZ7R05ez5w9o6bp6VUchaPBcU6Ok8r%200jB/IOostt/w+Ex0i7bfQ0+QTcUZOms4aF2IUslZSHC4jMUYVf1YCzxFusMXKwEcRt/mHSCfgK4Y%20iMbP1IlIKOgs/ypQF/gljoWnnM2gs1jhKe/FpF9fRQxr8Uw34HS2d98Z76qla9AjztDZ6/s4OHuN%20zqOC6jnTYOYWvvGLxhUtCkSdxYplOYAYfSg/bOVbs8zDGTp7dCl5nVk9Z16F4nGneY7s85qAmoIw%20itRQ8imPwxsrSVTcp+R1nOL+5a8I0SGis3Bi+Cveqxec/a6zwxsrjWf5uAP+lFfY8wGnMxlyIryB%20X55K8PsDvzsrBqczztDZu9s0OHvHzdNSHnGmQe53i8jTa9AkOpPa/PmU/YpfsRiY31h4pE0zcIbO%20nl5NXudXPzZ4FXTZug0P5rUy5iwIo0j3fqHJiniIbu+OkO9Twi7iRYzf4iJYhIjO1F6CTKgNXqru%20C2e/68wVsPdw8kbJLiPZLvIvZ+901v3W4K4CLzi7E6n799BZd8S3KwBncHZGQDyEokGi+GlTPIo1%20z/4Q6GzMeA5EzsaQEbXAKDICuHAIKFbK2c8jxb5Sunn5a6bOtQoRnelRmfExXuUx5wVnv+ssn97j%20+ndX7IgLRJ2NuDW4rMMLztDZCwLg7AU0L4qAsxfQvChCN1s5vI3iB07havaXJ1zRLujsRUd7USQQ%20OXvRTF+KwCjyhZ4HZeXNjjSPVNyJ5Lif/p2jy02Czh50sA9ZA5GzvPON7+iVAchxP/21BNS+Q6Cz%20D4PUg6Lg7AEsH7KCsw/wPCgaiJwVkcTtb8LiR8dfS8ftOwA6ezAofcgaiJx9aK7HRWEUeYzMbQGa%20EYoIhvTARgTjUqzoVdynxJ3XL7u6obPbbtUkQzBxVgRXICenHCZRxFfwyypQZ5zNrDMNMLoJ8Ee8%20ZGfSrIU/OoHOmlx6shBw1hypQ4Hg7EfO9puWFY9ihTfJ+PC2zu51JteZHliL2AP0e8cfBUJnYwa5%20YbXAKNIetSKmtrzp3D5Il/ALifhRfnlyA521HweOJAYZZ/ugRvIida9vLr73hQvOptXZPnY53wxt%20/7tLJpNJOENn38eqGgngrIaS73mCjLNipRw/WkCYQGJ+b/ziFBecTauzfMi7+GnjJ5lCZ98vPfNI%208HregnOKHHeiwh0k+IpN5+JwbvEVTeColHhsY3xsaOhszAUZlJzp90DxC8e9o/ITNWPwilrccjah%20zi6O8eX2D3TWZBSBsyYY3QoBZ7eINMngljPVQjMK+bwE7oUWy+foX000US8kEHV2cYwvt4tMyDkQ%20dVY/ivTLCaNIY7aKc3/JBBIPrWUXkFhXIDqAv7EPo6mxfo7EQWcDIFMVQcxZXlegGNLGP4ZUydlU%20OosTq8SjR3nWIh7uQmcfL1Vw9hGgyuLgrBKUj9lUcqZ5iOIIV3GXNn7PZyDqLOIhiRDBcoQk8Rtn%20Ks6BqLOPl4MmxWEUaYLRJoQDlfdRyJvO5f3o9DmNWvkcevsADBor50QcdAZnZwTUjw2SQKa+fNyb%20fQAGs3E2j86Cm7y+X8xjFPsMTcIZOhsznsEZnJ0R8Ghs0NxdYRoZbxFRQwJRZ7H6QJ7CiX3gin2z%20JuEciDobc6W7rgVGkca94NDhI1ajiojbcq30dIGuIj8G4IbOGg8Cl8anwhkYfGODR9/2Y6RXL8az%2033V2uL6ftBJtsR9T0NmLyxacvYDmRRFw9gKaF0W84Ey10P3ZeAe+aF0g6iwMDIUZKdYBOfy98y/n%20QNTZi0tA8yIwijRGKm+lkB/6OgTtR0NIbjZ01ngQOBEHzuDsjID4ASPXsXxbcDaB8EvAKIXy0NmY%208QzO4Iz7hjFjwFkt8j4o2Z50ZniYYWoXiDr7t5d57V4bReGKnQP4lxMQwbjpqoiJiRFYxORm69at%20/MOEhAR6zNCxY0d641960NkY/uAMzs4IdO/enT90TExMlPM0bNiQ/7t9+3bxeefOnZs2bXrw4EFj%20eEJncPaUAMazp8S8yw/O3nHztFTdunXFysOkpCRRvE6dOvz9hg0bxIcTJkygm/mqVas8rUXb/IGo%20s7YEjJamxqQTOqnJHDR5yJFKJpDiUa79EwWx3dD48C/2qKGzMcMPnMHZGQG6Y9B9Q7EMwz5Sv7zB%20149rFHkroLMx4xmcwRn3DWPGgItayC6Sz0Jw6Fige7KY9xofSdhe+UDU2b8d7bXZgpDcnnWcYnIj%20H5Ltl82OarSHzmoo+Z4HnH1nqEZCIHJWePPlw8j9cqCZGs7QWSUl37PJv98YG77zdCYBnPVjK0sO%20RM7yCmc5qpZfIgmr7KZA1Fll03zPBqPId4ZqJYhIwfKvlyJuiVpZRuWDzsaQBmdwdkZAuJQpJofY%2010sDxgzL1qGzMeMWnMHZUwK4b3hKzLv8wnVPMULlI/vkOHXeSdavVCDqrB8NhWQYRYahtsgHj3Du%20Jp/ZEBrobMz4AGdwdkZAeJXlExjN/ItLDYHOxoxncAZn3DeMGQPOaqGHU2I6J+bTikMU/Kuhfe2B%20qLNhDGEUGYbaIoIvm2rJqev2Q2djxgc4g7MzAiIwt7hvOIzsbwxAlbVAZ5WgfMwGzj4CVFkcnFWC%208jFbIHKmJgsHPr9FUwRRM0QHdd0Xgaizj6NLZXEYRSpBaZNNPqrV/DMb3mborE3fu5MCzu4IafN9%20IHKWj1wMiF9c6irorM14dScFnN0R0uZ7cNaGozspgchZ3iJOU2q/x79xx9j6fSDqrKZdvueBUeQ7%20Qw8kCIeAmTfhKdoDnT3oYB+ygrMP8DwoGoicabWDWDvnx1MXPaBssUBnj3B5nRmcvUbnUUFw9giX%2015kDkTM1VjheTBs3y75HAlFnr8eV+oIwitSz0iYn34pn8i0BiqZCZ2363p0UcHZHSJvvA5Ezt+VM%20vlTd4fMU6KzNqHUuBWNDb8JcPjiDszMC3JYzedwshfKBqLMBI9BroyiMlHN7NFJYWBjPoyazW2lB%20k4FO9YqNjQ2s5kBnY/oLnMHZGQGMDYwNjA1jxgA4g7OnBOg07ejo6FKlSnla0I/5A1FnvXF5bbbA%20KNK7ayAfBEAABEAABEAABEAABEDACAJeG0XhRmiHOkAABEAABEAABEAABEAABEDArARgFJm1Z6AX%20CIAACIAACIAACIAACICAIQRgFBmCGZWAAAiAAAiAAAiAAAiAAAiYlQCMIrP2DPQCARAAARAAARAA%20ARAAARAwhACMIkMwoxIQAAEQAAEQAAEQAAEQAAGzEoBRZNaegV4gAAJaE5gwYQIFpXGRKIPbPE2b%20NpX1ohDbNWvWJJmFCxemsgkJCc60diaZCpJMkuOw4OnTp/v06VOmTBmuNuWcN2+enNOZWNKKvlKP%20UMjZunWri1LOqnNdSr0aIZiT0LkeltTpbvOIaEscIEXp7dixIxdL44dGkVuwNHSpc/lgpsTHj4vx%207FCg0FP92HPWNBrzpLlrBRRlFZUKArxFbgkgAwiAQIgTgFEU4gMAzQcBEPCeANknzZs337NnD4m4%20fPnywIEDO3fu7Kk4Krh27VqSo7B2SA59Urp06alTp9IJfVws5YyLi6NZstvZKmlF+tC0Uo0+NGmm%20zGpy/vHHH2qyIY8fCZBF9MQTT8yfP5/rQOOHzqN0PWCoSNmyZWkM8MFMiY+f2rVr01d+aQuNedJc%20zVAX6u3bt09WVVw1ftEflYIACAQcAZxTFHBdBoVBwBQEOu/9cO6Zn0yhihMlOpWs/231N+Qv6UGy%2066n/+PHjKb/rPE2aNFmzZg1lI0OCLBb7yuPj4+kRtf3nbmunw9RPnDgRExPDy5LviCwlZ4QHDRo0%20evRo+tatWGf6yJJJYTGH3rJlS926dZ3VS5NUMszsv3VdyszjxO+6kbujXr16LtSgITdkyBDXeai4%20OF2dfCz29kDv3r2nTJnisBYayWQ1kXHu8Fv6avfu3SopibbQpTRgwAA1pdw234XmirJ0PZ48eVJU%20qvAO4fR5Nd2BPCAQBARwTlEQdCKaAAKBRMDkFhGhdKEhzdhohmSfaBpHSXxOE33eJXJ+bhFRWr9+%20PX9DkzYqQrYH//eDDz5w3ZGK2qkWMoeoCM1KhUz699VXX+VyOnToQHNcqoJe6T3/cMyYMYo1UbLY%20AwcO0FyW51yyZIlrfWhmKSwi1znp2127dtErTdMV9FzYUW5lIgMnYE+VQ6YhR3hl4A7z8w/JscMt%20IhoAly5dopHARxd5XZw5iyZOnMgtIipCo5EqooL8AQElchnZ+zD16DK5+dQEuqx4LWpq522UTUGs%2059SjjyATBIKbAJbPBXf/onUgoDOB80uYOf90bjeJX7x4Ma+kf//+9ErOFm6H0CTS7do2WTua744d%20O5Z/8tdff4mJIJ/h0UyRJoWlSpWi9/RK74W1I1tQiuZWqVJF2Dnr1q1zDWPUqFEqaVG7+Oy5YcOG%20Kosgm8EEhB/vzTffJK8jjQRhXezcudNeGTKtyV6iz8mu4NYXvaeC9HSAvJE8v1u7WvM20lAnvxb3%20xNKQc7uEr1atWlwHYQv98ssv9K+4WDTXEAJBAASCjwCMouDrU7QIBEDACALcZ0JTSW6xUGrcuDF/%2089tvv3mkQcWKFRX5xTRUPLAXGWiyS/4icky1a9fORS1CK2fLonhZsrL4NNrhUkCFfLldtI6Ob8d3%20FiLCIwLIrBUBsa+mQoUKXOZjjz3G3xw5csS+FmFak2Uulm7ybN27dyej4vPPPye3pChIhrEc+YOW%206g0ePNijpwDqW0rCeearV6+6LcXtH24LUeJ2FI1PtwWRAQRAAAQ4ARhFGAkgAAIg4A0BbmyIR9T0%20vkCBAt4IkmZyorhw79CTfoVMckmRJUOviimsIptYXOfC2qG5LG1WoYLkExATUBdNEDPOcePGcVOK%203GIOQ0R4xwGlfCfw33//cSFi5OTPn9+F2I0bN/Jv7S1zsqtpN9FLL70kDGwaMGQMy5E/yJ9JJpMX%208UXUtFRsECpevLjb/Nz+ET4lPv7vu+8+twWRAQRAAAQ4ARhFGAkgAAIhR4BCKTgMgqwViO3bt6sX%20RZ6Wd955h+enxXL8Dbe4xL/qpfGcNDUUu49crCCaOXMmTWrJ2dWvXz81VYjVfQrvk8qgz2qqCOU8%20ZGc6HJZabY/ZsGGDPV5hRKnZFbZgwQIeno7vo6PBw01u0tztCjePepZHoucrSGVnrAsh3P4RMSG4%200V6nTh2P6kVmEACBUCYAoyiUex9tBwEQ8AMBhUlGnhZhAtn7hdTrJ4utWrWqiK3ct29fh0Jo3kkO%20H/rq7bffdu10EsX37t3LJ6krV67kc2JucZH+NF1Wr6peOT/5hD38MKMTacz8V60aIz0DM9GKTVpN%20R4bQyJEjqQXkQXrxxRd5U9SscHPdaNkm5JHoeX4an2pocfuHD3thoYk1hGokIA8IgECIE4BRFOID%20AM0HARAwBQGyLr799lvNVaEn+s48ADzmGM0+VYZOJt1oIz7ZQomJibGxsXxO/OGHH3KdHXohNG+O%20G4FffcUOHDC6Uk/r27+fkZ6Bmch4ptV0tKpNWNFXrlzRtSl0XdDWJjVVCPuHLCK++Y2sd5XWvhr5%20yAMCIBD0BGAUBX0Xo4EgAAJKAs5CcvuFFE3dKGoCLfvRcAJHMmnpHYl1djQNrcjiT+LVh55zCEdY%20XDzshJ+TxeJnBXyr3llIbjUL23yr2bPStLOIdrXxcAtyDAbPpLjLTTToOiU7nF8XioWF9ksKKRsP%20zE0W0eHDh+mNvN/PXW34HgRAAASwpwhjAARAAAS0JuB6JwM3ycShQ+SuoaONHMbvcnhMKu1Boj3l%20NCtVFJEtPXLm0GzS4RmyvK1i11NcXByfboq66JBQxamXavC4jnGnRoIGeV54wbp8zuSpalX2/PN+%200dF1IHV7M4MGGJk9dDqwfCIWxZorUqQIDRseboHbIZokhU1IA5h8mB49KeBWEFlEfJ0nAsdr0i8Q%20AgKhQ0CVpygyMpITSU5ODh00aCkIgAAIuCDAp4Oyh8SjpUS09uyzzz7j+9RpI4QifpcIsWC/f33F%20ihWUn2alkyZNMriDuPnkMMyxmojeumv7yits3z5G/iIz/9HyOdJTt1SwYEEuW4ycpKQkF7UJy0GE%20FhSZKVo3mT20V00E7SADibuGqLvJD0nfqtzwo1tzswnmbSGLiF+V99xzjzH1ohYQAAHzEBCmijBe%201OumyigS0TDPnTunXjRyggAIgEAQE+CPpclDIp6jizjaKrd301NwsXqNHDXk/BG4nnvuOf5enOvK%20/6W6RDZx/oxhkIUJJ5osDinCKZmG9YLriqpRIIfbSRwqtW3bNv5JpUqV7MuK067ef/99he+RHJg8%20vziAa/r06fwTOgeW/JAiVLcBbSfnqpwcLinkDaRLifstVV6GBiiPKkAABAwjIEwVNaH8FVqpMoru%20uusuXuzs2bOGtQoVgQAIgICZCbRp04arRxEL6JVsFR75iswD9Wt+aGYpnEL8yCCeGjVqxD1R8+fP%20pzzcCKEFTvTMnk/4yD7h0Q68S7QwSTHLFGps2bKFvnIoVkyOSQ2aQJNWw4cP5zlbt27tnSYopS0B%200Y98TSb5i0QYt9q1a9vXRYYNL0JuHzqDiC+io56lUScCGIpQBzxGNiUxwsVZsa79Udq20Zm0EiVK%20yF/5EsvRGIVRCwiAgOYEhKkijBf1VagyiuApUg8UOUEgtAjc0ZqZ889lNzg7p4gmheq7j+wWnpkm%20nbSojNaz8X/ffPNN9UIop7CFaMYpvEA06ZwzZw6XQ3YRmUBUBe32EfPUyZMne1SLd5lpuRRfMsfn%20yv379+dySA3aWEJacX3ojYv9S95VHYKlnJ1T5NEWL7IEhEOP+oiCs3MrmuIQOrPVKRoHt8CpN/mO%20MpJAo453AR3sKzxCwh84bdo0+opeRbYjR4447DIaOXwI0VjSu09lKwiuS71pQz4ImJOA7p4iYRTB%20U2TOEQCtQMB4Ap1K1je+Uo9q1FtDminStgqFSvTQ3VPzgBYCOXQWkSPIXj6vjmIq+OIm8gijnNlh%20k2k+vXDhQq9loqDmBKg7FPEP6F9+spDDRN26ceNGhyETaGSOHj1alBoxYgR/36tXL7Jz6FXsJfNo%20Q53mTRYCxaXkcOebfvVCMgiAgEkICFPFi+VztB/VfRL3xEcffdR9buQAARAAAVMSIFvC9V1bEf+K%20FpIJI8RZg+gYU/5MmuaUJP/SpUvOcora7QOCi1VJJIcMIVkC6UDP+MWEldat8eVtIrkQ61EnKJbP%208bJCuFypaDJpS/ocOHDAo4qQWUFADDMXg1NRhOd0FsKbMlOniOgINH5ogLnFTnnIKSSMHBrViqHI%20JdCHPA+NSZJMA54PTvqQvrW/ZNxeRCKDi+Y4U96+LKmkuGYFVbcEkAEEQCAICJCpwq96Ml48bU4Y%20FXBr2y1fvrxVq1aUrXLlyocOHXKbHxlAAARAAARAAARAAARAAARAwEgCDz30ED+pbNmyZS1btvSo%20alVGERlO0dHR169fJ9G0brhixYoe1YHMIAACIAACIAACIAACIAACIKAfgV9//ZUbKVFRUVevXvVo%20QyaVUhVogYQ2b96ct4EWTujXGEgGARAAARAAARAAARAAARAAAU8J0Dl+vAiZLZ5aRGqNIsrXokUL%20Xo2oz1NFkR8EQAAEQAAEQAAEQAAEQAAE9CAgjBRhtnhUi6rlcyQxMTFRRPOktXoOz4DzqGJkBgEQ%20AAEQAAEQAAEQAAEQAAHfCdAGH4p9wOXQKW2FCxf2VKaq5XMklESLFXRjxozxtBrkBwEQAAEQAAEQ%20AAEQAAEQAAE9CAjzhAwWLywiUkmtp4iybt++/bHHHuPN2LRpU4MGDfRoEmSCAAiAAAiAAAiAAAiA%20AAiAgEoCmzdvfvzxx3nmbdu21alTR2VBOZtaTxGVoQq6du3KC8NZ5AVrFAEBEAABEAABEAABEAAB%20ENCWgDBMunXr5p1FRPp44Cmi3MeOHXvggQd4M+jM7LZt22rbJEgDARAAARAAARAAARAAARAAAZUE%20Fi1a9PTTT/PMR48eLV++vMqCimweeIqoJFXTr18/LuL555+nLU3e1YpSIAACIAACIAACIAACIAAC%20IOALATJGyCThEshI8doiouKeeYqowKVLl2rXrn369Gl6//DDD2/dujVv3ry+NAZlQQAEQAAEQAAE%20QAAEQAAEQMAjAjdu3Khbt+7+/fupVKlSpXbu3FmkSBGPJMiZPfMUUUmqbPbs2VwEKSF2GXmtAQqC%20AAiAAAiAAAiAAAiAAAiAgEcEyAzhFhElMk98sYhIgsdGEZWhDUzffPMN14B2FpHjyKMGIDMIgAAI%20gAAIgAAIgAAIgAAIeE2ADBAyQ3hxMky8jq8gFPDGKKLCXbp0GT58OJeya9eudu3akQPL61ahIAiA%20AAiAAAiAAAiAAAiAAAi4JUBGB5keZIDwnGSSkGHitpTbDB7vKZIlUtg74TKi/UX0vlKlSm6rRAYQ%20AAEQAAEQAAEQAAEQAAEQ8JQARVaQV83R+6+//tpTIQ7ze+kp4rJICeEvoiV9dLQrBcXTRC0IAQEQ%20AAEQAAEQAAEQAAEQAAFBgAwNMjfEPiIyQ7SyiKgKnzxFXEXa2CSHW2jcuPGgQYMaNGiALgQBEAAB%20EAABEAABEAABEAABHwls3ryZTmhdt26dkEMr1DRZNScEamAUkazt27eTWjxON09xcXFkGmE1nY8j%20AMVBAARAAARAAARAAARAIGQJ0Ho5Mofi4+MFAYq+TS4Z3yMrKJBqYxSRUDq/aOzYsZMmTZIrqFev%20Xovb6cEHHwzZvkTDQQAEQAAEQAAEQAAEQAAE1BP45ZdfVq5cuWLFii1btsil6ITWd955x8fo2w7V%200Mwo4tKPHTtGppH98r7KlSvny5eP3EfFixe/6667+GuuXLnUo0FOEAABEAABEAABEAABEACBICOQ%20nJx87ty5s2fP8ldyCl27du3w4cOKZtJuHVqGVr58eb2ab9Ehbdu2rXnz5nppDLkgAAIgAAIgAAIg%20AAIgAAKhQYDMCjIudDBZsolk+lWQkJBAW6Dat28fFRUVGl2GVoIACIAACIAACIAACIAACPhKgMwH%20MiLIlCCDQj9rRZas8fI5hwCoPloRSF4w7hQT3rHU1FRfgaE8CIAACIAACIAACIAACIBAwBKIjIwU%20+2v4G9p3QyEJwsLCjGyTEUaRke1BXSAAAiAAAiAAAiAAAiAAAiDgEQGfDm/1qCZkBgEQAAEQAAEQ%20AAEQAAEQAAETEoBRZMJOgUogAAIgAAIgAAIgAAIgAALGEYBRZBxr1AQCIAACIAACIAACIAACIGBC%20Av8HDkPNvK6q99gAAAAASUVORK5CYII=" height="499" width="1116" overflow="visible"> </image>
            </svg>
          </div>
        </div>
        <div class="fig"><span class="labelfig">FIGURA 4.&nbsp; </span><span class="textfig">Estudio de la Evapotranspiración de Referencia (ET<sub>0</sub>) para la serie 2020-2050 en “Ceiba Mocha”.</span></div>
        <p> La diferencia entre la ET<sub>0</sub> regionalizada para el escenario RCP 4.5 y la calculada por el modelo <i>CropWat</i> a partir de la fórmula de Penman-Monteith varió entre 0,09 y 0,23 
          resultando que la propuesta por el modelo RCP 4.5 supera a la 
          determinada por <i>CropWat</i> en un 16%. </p>
        <p> En la <span class="tooltip"><a href="#f5">Figura 5</a></span> se muestra como varió la ET<sub>0</sub> regionalizada y la evapotranspiración del cultivo (ETc) determinada a través del modelo <i>CropWat,</i> obsérvese que la ETc mantuvo el mismo comportamiento que la ET<sub>0</sub> a pesar de la zona presentar una alta pluviometría según el escenario 
          RCP 4.5, la tendencia al aumento de los consumos de agua a futuro se 
          corresponde con lo planteado por autores como <span class="tooltip"><a href="#B9">Duarte et al. (2021)</a><span class="tooltip-content">Duarte, D. C., Zamora, H. E., Herrera, P. J., González, R. F., &amp; Chaterlan, D. Y. (2021). <i>Manejo de las normas netas totales de riego en el frijol ante el cambio climático</i>. <i>11</i>(4), 3-9, ISSN-2306-1545, e-ISSN-2227-8761.</span></span> y <span class="tooltip"><a href="#B16">Moinelo-Lavastida et al. (2021)</a><span class="tooltip-content">Moinelo-Lavastida,
          M. I., Duarte-Díaz, C. E., Zamora-Herrera, E., Herrera-Puebla, J., 
          &amp; Vázquez-Montenegro, R. J. (2021). Predicción de normas netas de 
          riego del sorgo en la zona occidental de Cuba. <i>Ingeniería Agrícola</i>, <i>11</i>(3), 3-8, ISSN: 2306-1545, e-ISSN: 2227-8761.</span></span> realizando similares estudios con sorgo y frijol, respectivamente.</p>
        <div id="f5" class="fig">
          <div class="zoom">
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jBKBtW3b%20dteuXXgDm3r16uFN796916xZI9xqsaEB6LUPBAEeywgwAowAI8AIMAKMACPACFSHgE8Sbl3Gffz4%208YK1y0y5l9OGJLoQss+cOVOw9o0bNwp70HTxBsfF+7Vr14ojWmzopHrt+TpjBBgBRoARYAQYAUaA%20EWAEgoWAdcRdrBCsHVzc52pfe+012CDdPnbsWGGcl5cn3vTq1UsOF5xevrTYBGLvM2w2YAQYAUaA%20EWAEGAFGgBFgBExCwDrinpqaCm26FtaODaMi3f7QQw9pXDatF1ndEC02dKxee42hshkjwAgwAowA%20I8AIMAKMACPgBwLWEXfQcZk+9x6o3DB69dVX+7EkHsIIMAKMACPACDACjAAjwAjUPASsI+4ascOW%20UyGFh369TZs2GkcF3ay61lFBD4wDYAQYAUaAEWAEGAFGgBGoGQjYjrh/8803Atlbb721BkBMu8PW%20gOXwEhgBRoARYAQYAUaAEWAEgoWA7Yi71Mmcd9552kEZMGCAT2MtNtSJLntVEXrxo8+Q2IARYAQY%20AUaAEWAEGAFGgBHQiIDtiLus7SiaLsmXaJ6K1/r16+VB6Gr02gRirxFTNmMEGAFGgBFgBBgBRoAR%20YAQMR8BexB1EXNSTGT58uGqpksdLZg9j8V5WdtdiQ93qtTccfXbICDACjAAjwAgwAowAI8AIaETA%20XsR969atIu5zzz3XfQFjxozBQTB7FKjBm6lTpwqbYcOGSWMtNtSzXnuNsLIZI8AIMAKMACPACDAC%20jAAjYCwC9iLuf/zxh1heSkqK+zpHjRolDo4bNw6bPmfNmiV+vOWWW6SxT5sRI0aICjBiiE97Y+Fm%20b4wAI8AIMAKMACPACDACjIB/CNiLuOfk5IhltGjRwn09KAOPxquq49OnT6dVI7XYUA967f1DmUcx%20AowAI8AIMAKMACPACDACASJgL+IuF9OsWTOPC0PjVTD1tm3b4lN8RyvWSZMmqSy12NAheu0DRJyH%20MwKMACPACDACjAAjwAgwAn4gEOZetVDKSLigoR+A0iECSYYxQBh5OCPACDACjAAjwAgwArUBAZ8k%203KYZ99pwbniNjAAjwAgwAowAI8AIMAKMgHYEmLhrx4otGQFGgBFgBBgBRoARYAQYgaAhwMQ9aNDz%20xIwAI8AIMAKMACPACDACjIB2BJi4a8eKLRkBRoARYAQYAUaAEWAEGIGgIcDEPWjQ88SMACPACDAC%20jAAjwAgwAoyAdgSYuGvHii0ZAUaAEWAEGAFGgBFgBBiBoCHAxD1o0PPEjAAjwAgwAowAI8AIMAKM%20gHYEmLhrx4otGQFGgBFgBBgBRoARYAQYgaAhwMQ9aNDzxIwAI8AIMAKMACPACDACjIB2BJi4a8eK%20LRkBRoARYAQYAUaAEWAEGIGgIcDEPWjQ88SMACPACDACjAAjwAgwAoyAdgSYuGvHii0ZAUaAEWAE%20GAFGgBFgBBiBoCHAxD1o0PPEjAAjwAgwAowAI8AIMAKMgHYEmLhrx4otGQFGgBFgBBgBRoARYAQY%20gaAhwMQ9aNDzxIwAI8AIMAKMACPACDACjIB2BIJD3KdMmRJ25uUe6KpVq/r06YOP6tatO3HixFOn%20TlGbESNGiIGql8rPjBkzMjIyYIPvc+fO9QmHXnufDtmAEWAEGAFGgBFgBBgBRoARMBaBsKqqKpVH%20yafdPzJkbnDxdu3aZWVlwZtqCpDscePG0Vl69+69Zs0aeQREfPfu3e5hUD+g+7NmzaI206dPnzRp%20UnXB67XXDoJA0iQYtYfBlowAI8AIMAKMACPACDAC9kfAJwkPAnGnRJmS2j179rRt29Yd0zlz5owd%20O1Yc95ikp+TYnfqLgaD7bdq0cXeu117XKWfirgsuNmYEGAFGgBFgBBgBRqA2I+CTuFstlXFPb8vT%2089xzz4n3EyZMAKEHXxc/zp8/X7zZuHGjeIMMOgzoSzqRxhgOA7gSH82ePdvjdaDXvjZfTLx2RoAR%20YAQYAUaAEWAEGIEgImBdxh0KmTvvvHPevHl0tTTjLmQwaWlpp0+fFjbitkMeWbhw4WWXXYYjK1eu%20HDBggEfUxBBk7nft2oU3mLRevXp4o5LcyLF67XWdKs6464KLjRkBRoARYAQYAUaAEajNCNgo4z5+%20/HjB2mUWnJ4Y6GSEeL1v377yuMipSx6/efNm8VFmZqbYewoJjUzD47h8D5ouLNPT08X7tWvXul8H%20eu1r85XEa2cEGAFGgBFgBBgBRoARCC4CVktlwNpnzpzpvubDhw+Lg1Cio8YLSsoIXk6ryqxfv17Y%20QG8jWD7uBAYPHiz5d15enjDo1auXnALcvTqI9doH91Tx7IwAI8AIMAKMACPACDACtRkB64h7amoq%20dOceWTs9AUuXLp08ebKoOQNe3q9fP8ndZT0Z8al44f2tt96q5RSi0KQWM2mj116XczZmBBgBRoAR%20YAQYAUaAEWAEdCFgHXFH/RZZHMZLiKpqj/hx6tSpwl7IXSB92bBhAyQ0ULpD/i6OB51kH/X00nUm%202JgRYAQYAUaAEQgcgcr8UyW/fYmv8sNbA/fGHhgBRsBWCFhH3LUvW1VVRhZlF5J3lHXv3r07vGF/%206kMPPSTcrl69Wrt/Mywbe3qZMRH7ZAQYAUaAEWAEqkOgePUH2TOGFnz+OL5yXxlfuGA6Y8UIMAI1%20CQE7Enchp0F6fvjw4QLr6hLq/fv3FwZS/h6sc9PI0ytYwfC8jAAjwAgwArUQgeKf5xQu/jddePEv%208woXOUst10JAeMmMQM1DwHbEXZJ1YD1kyBCNiGdnZ/u0rK6CZHUDddkf8fTyGRIbMAKMACPACDAC%20hiBQcWxn4cJ/ubsq/ulDyGYMmYKdMAKMQNARsAtxb9KkicCClpGh6CDpjjozeE2ZMsUdNdEVNSkp%20SXxEE/DVOfTDPuhniwNgBBgBRoARYAQ8IkBZe1hcclh0nDQr+GJaZfYRxo0RYARqAAJ2Ie5g3nKn%20qaTay5YtExCDkUtmT1s4LVq0SBgI1bv4jpes2g5Xckur+9nSa18DzjcvgRFgBBgBRqDmIVD6+6Ky%20vUq7koSRk5JvfatO2Nl/8ZUVxT/PrXmr5hUxArUQAbsQd0Ava86gjAwIN1LsS5YswXEQejBsMHv0%20Q8WPqDODOu54AwO5b3Xo0KHi5I0ZM0bYoIgN3siKNMOGDfN4dvXa18JLhJfMCDACjAAjYHMEitd8%20IiOM6XlldPeREY3ax3S/VB4s/mVOVWG2zVfB4TECjIBPBMJQp0Vl5LPbqk+nPg08TgEiPnDgQPex%2006dPnzRpEo6Di48bN87dgDZ1qs4GVF7IaUaMGCHuB8TCfdr7XIsXA7FMd4QD8cljGQFGgBFgBBgB%20ikDZ3jV5b/2fPJJy18cRDRx5Lryyn7+8MtvZ3zBu0O1xQ+5g6BgBRsDOCPgk4TbKuGMzKDi6Ck1U%20bb/lllvEQaTkwdHdDaZNmyYPerSBW8Ha3V967e18sjk2RoARYAQYgVqIQMmaT+WqozsNkawdB2PP%20Gys/KlmrZOVrIUq8ZEagZiBgI+IOQJFZX7BgAcg63kMh8/DDDy9evDg9PV1ijUqRYOFCMwMD8HiV%20AY5TG1iiXatI2Ff30mtfM048r4IRYAQYAUagBiAAAUzp5qVyITF9rqaLAnEPi08RRyrzT5duW1ED%20lsxLYARqMwLBkcrUEsRZKlNLTjQvkxFgBBiBYCFQsvazgi+fFLND154yUb0JteDrZ0p+/VgYRHe7%20NPHqp4IVKs/LCDACPhEIJamMz8WwASPACDACjAAjwAhQBEq3fCd/jO50sTs40Z2dxRvwEXLzVaVF%20DCAjwAiELgL2ksqELo4cOSPACDACjAAjYDEClXkny3b9RIi7h66FUa17R6S3cNpUVpT+8Y3FQfJ0%20jAAjYCACTNwNBJNdMQKMACPACDAC1iFA0+2RTTvTbak0iOguSkHksm3fWxcfz8QIMAJGI8DE3WhE%202R8jwAgwAowAI2AJAmU7f/SebhefRnVSMvGOIVWVlkTHkzACjIDxCDBxNx5T9sgIMAKMACPACJiO%20QEU51clEdbiwuhkjG58TntZUfFpVXlq2Q6H7pgfJEzACjIChCDBxNxROdsYIMAKMACPACFiCQNnu%20n+pUVoipoGKvTicjDKLbXSCDonl6SyLlSRgBRsAwBJi4GwYlO2IEGAFGgBFgBCxDoGzXz3KuqLbn%20eZ83ihD3UiKwsSxanogRYAQMQYCJuyEwshNGgBFgBBgBRsBSBKhOJjLjfB/Evf0FYZHRwqYy61DF%20kW2WxsqTMQKMgEEIMHE3CEh2wwgwAowAI8AIWIVAxcl9+HLOFhYWleEj414nLDwsLllGV7Z3rVWR%208jyMACNgJAJM3I1Ek30xAowAI8AIMAIWIFC+b52cBTqZsMgYn5PGDryZibtPlNiAEbA5AkzcbX6C%20ODxGgBFgBBgBRkCNQNm+9fJQZOveWgBCJyZpVs4Zdy2QsQ0jYD8EmLjb75xwRIwAI8AIMAKMgFcE%20XDLuLXtpQSuiYbvw5AbCsqq0sHz/b1pGsQ0jwAjYCgEm7rY6HRwMI8AIMAKMACPgA4GK43sqc48L%20o7DouMgW3TVCRnPzLHPXCBqbMQK2QoCJu61OBwfDCDACjAAjwAj4QKB8vyJwj2x1rna8WC2jHSu2%20ZATsiQATd3ueF46KEWAEGAFGgBHwjAAVuEdp08kIR1Gt+0iPZfvXy/5NDDQjwAiECgJM3EPlTHGc%20jAAjwAgwAoyAA4FyujO1lSaBuwAuPK1peN1mThArK8oPbGBAGQFGILQQCA5xnzJlStiZlztYq1at%206tOnDz6qW7fuxIkTT506pbKZMWNGRkYGDPB97ty5HuHWYkMH6rUPrXPM0TICjAAjwAjUGAQqTh2o%20zDshluMQuDfvpmtpUS16SPsyJu66sGPjUEag/NAfOS9fk/vajeWZm0N5HXXCqqqqVAuQfNr9I0OW%20Ci7erl27rKwseFNNASI+btw4Okvv3r3XrFkjj4DKz5o1ixpMnz590qRJ9IgWm0DstYMgkDQJRu1h%20sCUjwAgwAoxAjUGgZMNXBZ89JpaDCu5Jf5mpa2klaz8r+PJJ5/B2FyTd8JKu4WzMCIQoAtnPjRBb%20usNTGqY+sMi2q/BJwoOQcZ86dapg7arXnj17VKwdBmvXrpVpdbxRsXYYTJ48GQOlKy02dF699rY9%200xwYI8AIMAKMQG1AoPzA73KZetPtGBjZsocczlKZ2nDB8BqBQMn6+bIQU53wyJDGxGri7p4Ol/A9%2099xz4v2ECROQpZ4zZ474cf78+ao3+AgGMBPHZ8+eLZ1IYy829ITptQ/pk83BMwKMACPACIQ6AuUH%20NyrEXXMhSDkkon6b8MR64seqkoLyQ1tCHRCOnxHwiUDJmk+kTXTHwT7t7WxgnVQGCpk777xz3rx5%20FA4qI4Fmfffu3WlpaadPnxY24nmBPCJ+bNu27a5du/AGDuvVc/z1oXIaLTY0AL32us4lS2V0wcXG%20jAAjwAgwAt4RqCrMyXpWoR1pU1aGxSToBS1/3qTSP74Vo+IvfTD2/Ov0emB7RiCEECjb+WPee3fL%20gFPunR+R3sK28dtIKjN+/HjB2mWmnKIGuQtYO4707dtXHgetx0vw+I0bnTkG0HRhkJ6eLt5DTiOO%20aLGhk+q1t+1p5sAYAUaAEWAEagMCLun2Jh39YO1AKZLsTy0/qAhvagOAvMZaiAD2dchVR3cdYWfW%20ruXsWC2VAWufOdPDTprDhw+LcNu0aYMaLygpg3uOsWPHyqoyeXl5wqBXL6X0Fbg7XaQWm0DstQDK%20NowAI8AIMAKMgEkIUJ7th8BdRBXZvKsMj4m7SWeK3doEgcrTmaVbl8tgYvtcbZPA/A7DOuKempoK%203blH1k6jX7p0Kfabit2ryND369fPvSKk+2pRRNInBFpsqBO99j4DYANGgBFgBBgBRiAQBGglO/+J%20e7OuYZHRIozKnKOVWc7EWSCB8VhGwJ4IlKz/QgYW2axrpJ6+B/ZckXXEHfVbkEH3iYIQzMgXfkQV%20Gp+jgm5wxNMr6FFxAIwAI8AIMAI1CYHyzE1yORHNuvi9tAhS/b08k9UyfgPJA+2OQMlvCnGP6fUn%20u4erIT7riLuGYJwmqqoy7iUgtbuyzLKJp5dls/NEjAAjwAgwAjUegYoj26tKi8Qyw5PqRdRt7veS%20kXqUY8sPKjcDfjvkgYyADREo3bSkMu+kCAwbQmJ6XmnDIPWGZEfiLuQ0SM8PHz5crMf+qpXGnl56%20TwbbMwKMACPACDAC1SHgopNp6n+6Hf5Z5s6XWW1AoOR3pdFSeN1mdSJCu4K786bdbmdOknUENmTI%20EI3hDRgwwKelFhvqRJc9Nte6v3yGxAaMACPACDACjIBGBMoPGaOTOUPcu8lJ0Qq+qqxEYwxsxgiE%20CgKV2UfKtv8go0248pFQidx7nHbJuENpIgKtbitqUlKSMFi/fr1ckspYiw2FQ699zTjlvApGgBFg%20BBiBUETAJeMegMAdaw9PqBtRr5XC3Yl0PhSR4ZgZAXcEaLo9slmXyKadawZKdiHuqAKJRkvAFEXZ%20JR1ftmyZQBkMu3v37uK9rNoOM/FeVnbXYkNPm177mnHKeRWMACPACDACIYdAVVFuxfE9MmwQkQCX%20QGXuFYc2B+iNhzMCdkOgdONCGVJ0t5F2C8/veOxC3LEAWXMGZWRAyqFrX7JkCY6D0AuGPWbMGHxH%20nRkUqMEbWW1m2LBhcv1abChYeu39BpoHMgKMACPACDACfiMAQYscG9G4Q1h0vN+uxEBK/WkuP0C3%20PLw2IVBl28WW7V1TcUK50Y3pfqltQ9UbWBhak6rG+Oy2qncOd3uPU4CpDxw40N14+vTpkyZNwnHw%209XHjxrkbgMojYS+O+7QZMWKEuB8QC/dpH8hixTLdEQ7EJ49lBBgBRoARqIUIFH3/RtF3zvaFMb1H%20By7YLT+8NfeV8QLJ8OQGqQ8uroWo8pJ1I1BVBU5cvnet4/uBjXXCI8LCI/A9PKVxdKfBUR2HRDbp%20qNunCQMK5j9Rsn6+cIxuqYnXPG3CJKa49EnCbZRxx2ZQcHQVDJDB3HLLLeIgUvKoFKkywBDJ2jXa%20UA9afJpyZtgpI8AIMAKMACOgGQGacTdErQuCFRYVI+avzD3ObZg0n4raalhRXrzyrazpF+e9fQdu%20Ix2s3XHpVFSVl6JKKdLbRd/Pxq1gzv+uLfnty+BiVFVeUvq7opOpSel2AGsj4o5okFlfsGCB0KxD%20IfPwww8vXrw4PT1dXgGoFAmm3rZtWxzBd7RiFcl4+tJiE4h9cC9Hnp0RYAQYAUagFiJQQaQykU07%20GYJABKkpWc4yd0MwraFOile9nf3ciMJvXqoqzPa+xIpjuwo+f7zg62eCiETpxkW4nRABhKc2iWrv%20Qc0RxPACnDo4UpkAgw6V4SyVCZUzxXEyAowAI2BnBCqzDmW/cIWIMCw6Lu2RHw2JtnDpf4tXvSNc%20xfa/Pn7E/Ya4ZSc1CYHygxsLF8yAsMrzolAZvbICmmD3T6M7X5I4ZkZQoMAzgbI9v4qp4y66Ne7i%20iUEJw79JQ0kq498KeRQjwAgwAowAI1CzETBcJyPg4v2pNfuyCXx10Mbkvn6zirWHxSbF9Lk68drp%20aQ8tq/vYr3X/ua7uY78kXvtsdJdhdcKVDkelf3xbuPBfgceg10PF6YOStWNsdLcRej3Y3N5eUhmb%20g8XhMQKMACPACDAC1iPgUlLGIJ2MB+LuKW9q/WJ5RjsgUFVSkPfBvdDG0GDCYhLiBt+BfcwJVzwc%203WVoWHyq89OIKLB2cPeUCR/QMqPFP88pWfe5xcsp3eQoQOK8NW3ZK6K+s3iJxWGYNx0Td/OwZc+M%20ACPACDACjIABCJiUcQ9Pbhie5ux+WKeynGXuBpyqGuECO01zZ99Stn0lXQ2y7KDscYNvh1irulVG%20NGyXOP4F2turcPHzlTnHrESFEveYrkq5cCtjMHUuJu6mwsvOGQFGgBFgBBiBQBFw3ZlqZAPISLo/%20NZPbMAV6pmrA+LJdP+XOvrXi6A65FmTWE695Bll2ZNx9LhBNec/UXnSUw8YLmfvCJc/7HGWUQfmB%20DRXHd0tv0V2HG+XZPn6YuNvnXHAkjAAjwAgwAoyAGoGKI9uqykrE0fCk+qiSYSBGLHM3EMwa4Kp0%208zd5795JS8dEtbsg5c55uhhwRONz4kf8TaIBn6XbVlgDDk23Y3dsWFyKNfNaOQsTdyvR5rkYAUaA%20EWAEGAF9CJQf2iIHGFLBnU5PiXsFZ9z1nZmaZg2Gnf/RZLqqmHNHJ93wEm4X9S4VRYqi2p4nRxWv%20eEOvB//sSzYvlQN13Wz4N11QRjFxDwrsPCkjwAgwAowAI6AJAdedqUbqZDC9g7ifafKNF8pxVOaf%201BQTG9U4BNxZe9yQOxL+9IjfC8VwObb88JaSXz/225XGgaVbvqsqyBLGkPdEd7pY48DQMmPiHlrn%20i6NlBBgBRoARqF0IuOxMbWYwcUf9Ppa5167rydNqS/9Q59rjL38obtDtgSAT2bxbzLlXSQ9Fq98L%20xJuWsaWblHR7TE1UtwsQmLhruRjYhhFgBBgBRoARCAICjmbyZJug4VIZLInVMkE4r3aa0sHa57ko%20ZMDaY/teG3iMaH4kn+dUns4sWftZ4D6r8wBdPhYiP43uUgO3pTJxN+/6Yc+MACPACDACjIABCLjo%20ZOq3Qe8bA5y6unDdn7rJcP/s0M4IeGDtl002hLU7csOpjWPPGyeXj7Lu5kFRsmmxdB7RMCOyZQ/z%205gquZ864Bxd/np0RYAQYAUaAEagWAfMKQcopacecct6fWpsuRjQ3Vefawdr7jTEQA0rcUaixZOMC%20A51TV6W/K8Q9umtN65ZKV8rE3aRLiN0yAowAI8AIMAKBIkCbIkUY1zPVhQfUbSbLhkCZo+pvH+gC%20eLxdESg/uCl/3iQaXbzRrB3Ow9OaxvT+s5ylxJyke8XR7eUHf5ezxDBxt+tVx3ExAowAI8AIMAI1%20GYHyzD9IaryLSUuNbN5VeuaikCaBbCu3VcV5BZ8/ZjZrF/5jz1fUMqhtijS/4VCUkHQ7Cs8r/YAN%20n8kGDjnjboOTwCEwAowAI8AIMAJuCFTmHMWX83BElBk7U4VzlrnXtquv4LPHKk7uk6uOv2ySsQoZ%20imdE/TYxPS6XR8xQupcSgXt0t5qskwGMTNxr228rr5cRYAQYAUYgNBCgivNIwwtBEgxY5h4aF4RB%20URZ+8yJtZYpmSbH9xhrk27ObGLJFtXz/b2W7fzFwurLtP1TmHBMOw6Lja7ZOhom7gVcOu2IEGAFG%20gBFgBIxEwKWCe1OzdDKIOAJtmM6+kIitLDht5DLYl50QgFKleOXbMiIIS+JH3G92gJFNOkZ3vkTO%20UrLmEwNnpDoZR7o9PMJA5zZ0FZyM+5QpU8LOvFSIjBgxQhxXvaSZTwNhOWPGjIyMDDjB97lz5/rE%20Xa+9T4dswAgwAowAI8AIBIiAS0kZwq0DdOs+PCwyhupw6D4/w+dih8FEoKKscOl/ZQDYOZow+p/W%20xBPTR9miihanqDBjyLxVRbkuOpkavS1VIBYE4n7q1KlZs2Z5PGG7du3yfiJ9GmD4xIkTJ0+evHu3%2045rA93HjxoGXe3Gr196QS42dMAKMACPACDAC3hFw2Zna1Oieqa5zo8+lPFB+QCnQweeoJiEA1l6Z%20dUiuKPGqx8MT6lqzwKg2/SJbdJdzlaz51JB5S377UvqJqN86qnVvQ9za2UkQiPvUqVOzsrI8giLY%20tpeXTwPk193vCsDj9+zZ49GtXns7n0uOjRFgBBgBRqDGIICyjFVlRWI5KNeI5KipS6OkqvzgRlPn%20YudBQaBs79rinz6UU8ddeHNkq3OtjCSmz9VyuuI1nyBZHvjslLhHd78scIf292A1cUd6u7p0+8aN%20zr8U06dPr3J9CRx9GsBm/vz5wnjOnDnwMWHCBPHj7NmzPZ4Mvfb2P6McISPACDACjEANQKA8U2li%20Sss1mrQ0l4w7SmJXVpg0EbsNFgJFRCQT0aBN3CV3WxxJTPfLlPvPynJw9wADKNv1U8UxRakR0/PK%20AB2GxHDriDsUMmPHjq2OtQOsQ4ecj2/69+/vETufBhg1b948fG/bti3mwptp06YJV0uXLvXoU699%20SJxUDpIRYAQYAUYg1BGoOEiIezOlzrpJ6wpPaRRet5nTeWUFy9xNwjlYbou+f4PudY4fem9QIokl%20SffAt6i6pNu7XRqeVC8oi7J4UuuI+/jx4wVLlllw1VI3b94sjmRmZoqtpSDfMsuO4z4NpHHv3k6R%20U3p6uni/du1ad2T12lt8bng6RoARYAQYgVqLQHmmIjSn6XDzAFEn3c2biT1bi0Bl7vGiFa/LOWN6%20j47qMNDaEJyzYYtqWGS0+AE9CkrWf+F3GFhU6aYlyqI8pdvL963Fl99T2HOgdcRdrB+sfebMmR6x%20WL9+vTgOOY3QsoPoDx48WNJrnwZ5eXnCQ69eveQU4O7VQa/X3p6nkKNiBBgBRoARqGEIVOadqDh1%200LmosDBaZ928lUY1V/YOsszdPJyt94x0e52KMjFvWEJa/NB7rI/BOXtMoovS/RdHPte/V8lvX8mB%20eFgUFqGuAglBf96HD+S+ebuqR6x/09lnlHXEPTU1Fbrz6lg7EJEbT+nWVby/9dZbBV4+DbzDumrV%20Kl2467XX5ZyNGQFGgBFgBBiB6hCgShUHa4+ItAArmnEv27/Bghl5CgsQKD+0mYpS4gbdFhaXbMG8%201U0R0/da+VHFkW0oDakxmKriPHDx0q0rhH0pqSdTeTrTnaCXbl2OIbAExRdvasbLOuKO+i1Cd17d%20S6hZoGzZsGED9pWuXLkyLS0NR3BccGifBkE8JUc8vYIYD0/NCDACNQAB/EsrWvFawRfTChc/X/r7%20IjxZtvOiqsqKq8pK7BxhCMVWTgXupFCjqUuIaNwhLD5VTFFVmF1+eJup07FzaxAoWvGGnAin2Owm%20qT4XFZHeIqbHFdKsxC3pDpJdtPxVmlAXxkicFy56Ln/O/fgU9L3i9NlHUmd9SU4vDsjSkBGNOoTF%20JvkMLFQMrCPuPhERhWTWrFnTvbvjad2AAQMeeughMWr16tWOvyO+DHxOYZ5BE08v86Zjz4wAI1Cz%20ESj64c3sf4/Mn/v3omWvlKz7vHj1+/mfTMl+/nL8KB952wcB3FTkvDg6a1r/7OlDChf9u+KE5/K7%209gnY/pG4lJQxf2eqBCSqZU/5vny/U79qf7g4wuoQQNa5bPsP8tO4i26zA1Yx/cbIMFCksmzPLzSq%20nJnjQM1B01XcvWzvOmEGgl7y60dyCO4ExPvojoOon7jB/5c47vmEq/6Z/NfX7LBqo2KwEXF3X5Is%20LyPV7SobnwZGweTTT2NPL5+j2IARYAQYARUCSLXmvn5T0bcve8ivV1UiAZ/75m1VpYX2wU3cVFSc%203IeQqkqLin/6IOelq0Hl7RNh6EVSXlq+/zcZtgW1IJW5Wik7xJi4h96V4xYx3ZMa1X5gdKch1i8K%2020NFmly5zJp2im4/QP5I61Qi3V6ZfVh8VLZtOY1W8vLIJueU7f5ZfpQwepog6PhSrQ5DYnpeUZPS%207VigrYm7PAHZ2dneLzWfBhiOFL6u61WX/WFPL13TsTEjwAgwAqV/fJs7+xbvlfjwaf6cB2yCVenv%20CyHjcQ8GVL5sp+NJKb/8QKDswAY5KqJeSxRq9MOJf0MiWyrEvYzcPPjnjUcFF4GStZ9BRC5jgLrd%20vHhAuKFjQVqB9njCdBVHt0N9jhy50LfIAKLOGSTfQ5RVfmiL+BEkWxB0vIk9/zoaMHg5CHrKxDlQ%205Sl+2g/Ana0g6Oatzlae7ULcoWJH/Ue8pkyZ4g5QmzZtfBpgVFKSU8NEM/SoH18d4nrtbXXmOBhG%20gBGoYQigJnH+vEl1KsvlusJiE2PPG5cw6tG4iyfSxpllu38p+OzRoC8fWfb8Tx6pLoz8jyahXlvQ%20gwzFAFzS7S16WLmEyCYd5c7FqoIssC4rZ+e5jEWgaNXb0iFKQEY26xK4/+oIOnQsoOzl+9aBvtPL%20piLriJyU7hBFPGHR8fKj4p+Vlq5g5xC3gKBHtnKW9pZmIOgQTdMqkLFkq2vgqwsJD3Yh7pCIC7xE%20rXfxWrTI+bAVqnefBrAX4ni8ZNV2sHa5pdX9fOi1D4kzykEyAoxAKCJQuu37gs8fp5HHnHtV6v0L%204kf+PabXqLiLbk3921fRnS+RBiUbvi7b+WNwV1r8w5s0gKS/zEoY/YTyT7qk0KHI55d+BMpJxj2S%20iM71e/JnRBRNup9VFfvjiMcEFQFo2FBrRYYQN/Dm6sLxWHEF5Bta86ynL1IJzfGjJOhS0wLP1ZF1%20UO3IVufCAN9VGvSE0YqypXTjQpdKSq16h6c6aaEq7OJV78gjyLVHEclNUPG2bnK7EHfk1NHuFOtG%20zUfUcccbpNhlm9WhQ4f6NBCYjRnj2PEAJyhigzdTp04Vx4cNG+YRVL321p0ZnokRYARqDQLIsDpy%207eQVf+mDCX+aqpJmJo6ZEUkkyEXfzQoiQogZNw8yANxmRLXtF9Pj8vhh98mDJevnl+1dE8QgQ3Tq%20clKKMdLajPsZgkXUMnt+DVEMa3nYVeUlxSvfkiDEXnADHtl5IeinH+2lKsniKNtydLvIr1OCXl1d%20RewEFbwcBD2qtYOpy1fyX19Pe/h7fFf9QYvudHFkC6V1QPHKt32etfIDG13S7f1v8Dmk5hnYhbgD%202SeffFLgC74OzczAgQNFQXf0bAJr12IAm1GjRgkn48aNgxNJ/W+55RZxfMSIEUKTI370aV/zTjmv%20iBFgBGyFQMXxPQ7WfrY9CmJLuOpxlbhTBhw/ZIJ8X354S8mvHwdrLah7I6cGucRthvgxdsCNtBw4%20J931niCk28G6xKjw1MayYoZeP37b4wZMucZ2u5T78NsnD7QSARBukODKAgeDwissKiZuwE1Ik6Ms%20lTtBh/Rc8HJVlyJK1inhxp8mEHQcQXJBlRSHxKXuE+vdCbojhmqqMcYOuEkiU7ptRdn2ld6BKvph%20tvJnp2Uv+hDSSoSDO5eNiDuqvIOjq+BAWfdp06aJgz4NqrOZPn26oP7uL48+vdgH92zx7IwAI1DT%20EKisyP90SmW+shUnfsT9MZ56d4uFI5sV0/vPEoTiIBH3iiPbqVAn7sK/0vMSN/gO+SMS82WctdVz%201ZbtU4owWp9uR6QRDdvhhkGEjFsIbKjQEz7bWoeAxx0IIOK5s2+jJVxiB9yMbqkg7iJZjgw6DVFS%20ahULBy8HQcdBpNIp7cZ7EHRk0KtLLuhaf/Q5F0VlnC+HFH73Py/DSzZ8VbZD6aQZN+AvuuaqMcY2%20Iu7AFH1VQZqFZgbdl8DjFy9enJ6eLuH2aaByAldo1zppksszaNXJoz612NeYc88LYQQYgaAjgOZK%20IMEyjLiLbontf733qGAjDSqO7yr94xvrV1Gy/gs5KRK0KplpVMZ5eAguDYL4WMB6ZAKfsZzc50Sd%20EQdb/4pqoyTdVTW2rQ+mls8Itu2x8Sfqt0CDjgw6pe+it2hVSb4ELTyxbuzAm/CjvBmLbNyeQgqC%20jnosyAgkjn6cHhcEPfX+rw0h6F5OYtyF5A/a0R00p05HVRZmF32r0HrcVER1GFg7r40w7M9VrVzK%20SNw/qp0Y+b1qgSTD6DeAPJARqNkIFP88t3DhDLnGmD5XJ1zxsJYlF3zxRMm6+cIS3QGTbra0vQiy%20sNnPDJYV2RKveSa663BV2EjT5r2jPEFNufOjiIYZWpZWy22AbdYTSgIy5b4vIuo2tx4TyIjzP/6H%20mBd1ZpLv+MD6GGrbjODckJVDHU4z3zgIdi5UK+DQ8iOxc1RABNpN65fnvPTnihN7JXp4gidyAXAi%20ku7IoFe37zNYmBcumF5M+qdCbCP2s9IXKszS7hApd30c0cCR5K15L58k3F4Z95p3AnhFjAAjwAh4%20RAAaEsraUR5BI2t3/KsmFdDQd7A8c7OVIJes+0Ky9vCUhu6sHcEgDR/ZsoeMCs1frYwwdOcq36Ps%205Y2o1yoorP3M6esrMSw/vNVDL7DQhTjYkaMbkZSVy1hAxCFAh8oc31WlWuSPtLpLRKMOknyrWHhE%20vdbSLa4f+QQPZo4t71f9026sHdE6yt0m1JVhF3z5VGX+SXqiin98l7J23HvUVNau5fJk4q4FJbZh%20BBgBRsBIBEB8C750bsd3+I2MTrjSublTyzSRjc+BNlRaoguSllFG2ZT+sVS6QqnK6tzG9rlGIe7W%20RmjUSq33Q/cDRLVR2LPFkYTFp9FyH6hVanEANWA6EHRVPRYsCgfzPnwAxF3m0cVKUQRdVmuh1V0o%20Qcd7CkvSdf8GfwUXx3d5vPzIttKty+SPsdWXgLQVwo6triMflCE5GkTM+XtlwWlxBPUfC5f8R36K%20Z4x0ybZaiDXBMHG3BmeehRFgBBgBBYHCr5+lj7MTrnxEr5IkuttIhRZvdLa8sADiilMHysnuyZju%20l1U3aXS3S8MT0sSnVYU5tIibBXGG6BSUuEcGj7gDPXpnWMbEvZrrSVRLdCfoEKWgXSi+S0GLcFB+%20ZIcg6PiO99Kr7Pop+4aKj/AjCDrYOboRqYqgg8eDv6oE6LSiIjROMeeOCpVfhOiuI2IvuFFGW35w%20Y+6s6/I+uDfv/XsLl/5XHndQ/CurbfoWKosNME4m7gECyMMZAUaAEdCHQMm6z9AkVY6JPX88yp/r%20cwFe1WUotp05aXFRDn2OrNeVLvvSP76V9tChhtdt5mW4y93F79bdXehakX2MIYqoOKqQuag2fYIY%20W1QH5ZFO2e6f0UU1iMEEfWpB0CFloToWRAVqLr5UBF2aYSAdIgk69Cq02Dn4KOq0CIKulr406gB2%20rkq3ewQEXUtLNytPw2ilxaADqCWA+OH3RZEHiei7jOqQZTtcCkSijbT1BVK1BG+lDRN3K9HmuRgB%20RqC2I1BxfHfBV88q3Ld5t/hLH/APlKDQ4rIt38lofRZRRtJdGpdt/4Gl0t5PdOn2H8hNUa/qSl/7%20d7XoHRVRvzUUWXJU6fZaoZaBlAUUPH/O/SqCDsoOdg6VOfLoFMnqCLpMhIuKinIIzikqnaNaCwi6%206vziR4wKRIBe9L1S4xx6Etzb6z3pQbdPuu4FpN49hoFq9Ek3vEzLVQU92mAFwMQ9WMjzvIwAI1Ab%20ESj4+pk6leVy5QmXO2t3+IFFdHdFLYPyxrLfih+uNA6pOLoTWxW1E/fIpp0im3VRyN8WRX2rccZa%20ZYZ7GwXbDhcGfe00/Vm6dXnQ4zEwABB0bAN1J+iFy17FPlGozPM/e4xOV5F1RPyoYtuSoCOVTjk3%203p9pRfQaOLp72KKBkYHLgavS3xfjwYj0GSrqdncQEq95Ou7iO8PiU+lHuAlJuuXNqHb9jQUtRL0x%20cQ/RE8dhMwKMQOghgC1WVCCecPlDEY1dNpzpWhISojQnSnPhuvxoNy7doTDLqPYDwxOVJhvVOYnu%20rKT9Spm4V491VVFO2S6FeEXZgLi7yNy3r8T2Bu2XivWWcnMnnRr6lqynL3In6PmfPY5kOQg6bVSE%20gZXZToKuil/shhRJcfoRFCwg6Eif04KM0iCyVW/LcCj6/nU5V3Tni2lXI8tiMGoitKpI+/uS+Msm%204wv7f5JvmZ147XRI9o3yH+p+mLiH+hnk+BkBRiA0EEBKDEXNlH+u3UfSqo7+rSGK9DkqJSIW/7z5%20HEUbkkefoyklHN1piHRbvn99ZdYhn7PUTgOqkwEdRC3IoOMQgTvDFj1kGKUbvgp6SAigOoKODDp6%20EtEInd2IztRHpwRdpTunQ9CECOwc+XJV92LkyAVBlyJ1FX0PLjKou0I3u8dd5KLnCW5sfs4eERXb%20bwy+YnqPjmzZ008nNXQYE/caemJ5WYwAI2AnBPBvteDLaTIi1FdOuOyhwAOktBg9j7CdK3Cf1XlA%20MrL84O/y06j2moh7eFrTyJa9FPLHSfdq8KWVW6JtkG4XYVKeWvLb1+ZdXSrP4Na0Iaj4VHQjQgZd%20RdBhKVoLYXcm3ngMUiU0h4IFd0fYXa0qLIgcOTaJVkfQAxGgmwcdNHJFK5R0+5mdrO3Mm449Bx0B%20Ju5BPwUcACPACNR8BAq+mFZVWiTXGf+nqWGxiYEv27GDsFlXhRaTEs6BO1d5cNk62bJneHJ9jVNE%20dxpsTYQa47GhWWXOMaojsk8vd9Q7CouOF4hV5h4r2bjAWPTOsO21Kp8QsYCgiy/6EYqdCzbvKJ+y%20dYX8iOrFPRJ05MtVmXIcATtHh06PXNxwAbqxoKm8Fa94vaq0UBzEX5W4QaGfbjcVr9B3zsQ99M8h%20r4ARqPUIVBzZLv912RCMgq+eLj+wQQaGJuSo+WBUnC5J922KBt0o/9IPrcumKyUc3ZGoZQ5sBEk1%20PLZQd1iyUUlmRzZx2dEb5KVFRFHKW7xK0XrpCgzs3J2gg3yf0bfcrsqg47io1gKaTkdFpDWWk4bH%20Kfe9IN+QmCN9jnKKtMYijAVBR37dnslyXRh6NC7bu6b4l7nyo7iLbguLSw7cLXuwMwJM3O18djg2%20RoAR8IYAKpxg21nWM4NyZo3LenIAvhf/9IHdICv69uWSNZ/IqGJ6XCabkBsSKi394ai3XZhtiFuV%20EzwuKNu5Wh7EzlTts4SnNqZSaVVhZu1+arBl6QYlkx3do9qeVhoROJpT+sEvx+auOX7gdLHGIV7M%20YvoqHXArju0sWf+FF2PwbJoLF5aoooh2oSDo+G2lY8u2LReCdWTQaflFVXkWOQTiFlBzQdBV+z5x%20d4H0OVQioZUsD/zsFC1RmhNFNGgbe8ENgftkDzZHgIm7zU8Qh8cIMAKeEUCrkdzXbwJLqCrKFRbI%20uxcu+nfeW7fTLjbBha/4x/eKfnhTYR4NMxKunGpsSNjFiE2E0icVtBg4Udmun5RV1G8T0aCNLufR%20HRSib1KEuuKxlTGuYfR4d4YUFuZHNy65nMLSypeXZT748a5Fm059vfHkw5/tmfb1vpP5ZYGsN6J+%20m5jef5Yeir5/AzeH2OsJOq5yixIugp2j6rlHgu74bT3D1MVLkm+xH1QeR5ocGXRwcfduRKDmgqAH%20sqIaMxZnofzwFrmc+GH31Jil8UK8IMDEnS8PRoARCD0ESjYsyP/ooToVHhhJ2d61ee/fXXFkW9BX%20hdxk4ZIXZBgonph4zbN1IqMND4wKV2gtcAMnKttF0u3tztfrmWboUXK+qsQpydXrp0baF//whlxX%20TPfLA8kZv/bDoZ/3OO9jhc/tRwtnLvezkg9INqghtnvSPC7qAuW8fhOOg52rainKXLsq6R51jnOT%20A1LmdHWg5hCxYHsoCLrqzOIjcHct7UJr5CWhZVF43kjxj+nzZ13PwbRMwTb2RICJuz3PC0fFCDAC%201SJQeTqzcIHSfBR2eEZcJzxSDqjMPZH3/j3oURpEEFGcsWD+P5UAIqISx/5Lb6JaY/y05ncpZO6e%207mc0uqrOrGynknGPytDdBiWiYQZdO6tlJM4laz4tP6QkTakuRe8p+2jt8bX7lHy2HL7jmA/uDn0L%200uQqFo7h2BuKg8ij416LNvSpPFvQXUXQpRoeKXMavCDoIOJoSKRaFCxB3GuqAF3vGdRlX7RUEcmE%20JzeIH3afruFsHLoIMHEP3XPHkTMCtRSBggXPVpUUyMUnjHos5a6P0yYtpaWXK/NOuvBma6Eq2/Nr%20/ty/0zmTxv6L6ryNDQcNSiPSWzh9VpaX7lhlrH/k9ipzznaOjIrzr7cLLR8JImhshKHqrbKiiKbb%20UbKaNJrVtShk1r/ccFIO6d0qqXndGPnj6t05P+3O8UjQkVaHAF1UOqfqF1rsHAPjL7lLucbO+lUR%20dFBwQdDduxGJui6BPEzQhUaNN8ajPPyRkcuMH3ZvWExCjV81L1AgEBziPmXKlLAzL9VpGDFihDiu%20elGzGTNmZGRkwADf585VNlPrtQnEnq8eRoARCBYCJb99SXdJxo/8e0yvPyEYtMhOuOpxuu+zPHNz%20ULg7Eqj5cx6k+CSMfsLsRphR7S6QM5bt/NHYsxOgTkYEE91+gIyqlAhvjA01tLwVfT9bqbETFhZ3%200a1+x79w0ykxNq6y8IaCD2/a/8Sjad92bqKQuV9/WQcBuiDoNFMOgi5157R0Oki24OXOdqEI75K7%20aHiRzbqpiqA7zrJb4UW/V8QDq0MAT2mweUZ+Gt11RHS3Sxmu2oNAEIj7qVOnZs2a5RHiXbt2eYd+%204sSJkydP3r3b8QQc38eNGwcerxqixYYO0Wtfey4OXikjYEMEile+pfzH6jw09jyXSs+otCh4vHhB%20ZV6ywbquMZgRXYry5z5YVZIvY3DcWvS43Gwko9oT4m50Prts188yfj90MmJsZKteuLkS76sKssr3%20rTcbE5v7R08umm4Haw9PaaQ9ZrBtiFhQThEa9C1HCtbtd4pk2pVs7XNqYeX+dSDof8lQlDNZp7Ok%20c7pD9EyX0CvwEd6oMuhIn0PcAgG62EUa3fkSemtRnvl74QL1/1/t8bOlfwgg0V7w1VNyLB6DJIx0%20ebjnn1seFUIIBIG4T506NStL+QtCwRKMvLoX8uvujB88fs+ePXKIFhvqX699CJ1aDpURqHkIgKNU%20nNwv1xV3yZ3ua4RyhuoNChc/X5nvTEZaAAhy/JU5R5UIh0xQ3VqYFAP4tHxWjv6p5Qc3GTVRVXE+%20qvVJb1Ft+/ntOdrMxwJ+RxWsgQXzH69TUS5mD0+qD05M+bSMCllw0S5U1RMUshYcQRVF0Pcf1myV%209i3TY+X7ehUnL+6YJn7cFdtxR3IfvEE5RRVBh7JFtAtV1Vg8Y9ybCtDjLp4I+i79o4K4uzI+WHjW%20hnkrTuwp+OxRulI8zQtLcJ7i2oAAr9Hx58JiFJDeri7dvnHjRhHM9OnTq1xf4vj8+fPFmzlz5uDz%20CRMmiB9nz54tV6HFhi5Zr73FcPF0jEDQEagqKwbxxReVlQcrKvqAOPb88e6iWxFYwhVTZIQoXUdL%20u5gaeeHif1PhKWpxxA26zdQZqXNXtYxhInLUhpezRDRsF57W1O8VRbVTdrXWZrUMCDpu8OjNFVg7%20OBkI+ulHe6nKLDqKRR7dLvLrtNg5ZflbDitVejpfNBK8XAhd0I3o8m715Pl6OfXeg7f9gHKK7lpz%20HNEoQE8Y/U9cBtKnY/fqgul+XxI8UDsCuH/Oe/N23JbLIWDtkc27affAljUDAeuIOxQyY8eOrY61%20A81Dh5wlq/r391yyYN68eTBr27Yt/ODNtGnTxDlYunSpPBlabOiZ02tfM846r4IR0IhAybrPsp6+%20MHvGUHxlPTVQlfPT6MQoMxAaNF13eouMjh14U3WeIxp3iB96t/y0dONCKos3Kh6VH4jvi1cr7Z+i%20Ow+NH/43k+by6NaFuO8wTOZOiXtU2/MCWRGNEEX3K7MyA/Fm/7FUMi6jxS9R9oxhtI0RxF0oJgMG%20LHg5CDol5ZKsq7g1apmL7Z47utxxOtLJzjs2TujSNAESF2TQ8R2f1k+KurB9qpx95c7sAHELi4pz%207D2NiFJW9Mu8/I//EaBbHu4dgdLN36C/bGXBaWmGpIAFGjw+LzZEwDriPn78eMGSZaZcBcfmzZvF%20kczMTLH9FARdpuHlm969na3C09PTxfu1a9eKgVps6KR67W14/jgkRsA8BFCnueCLJ+XTfEEp8j78%20W52qSvMm9eK5ZO2n8tPYPtegLLoXY1Svi2zZSxoULX/F1JhRd6Vg/hNyCjRFShjl8kTb1NmFcypz%20R1uWyiwHCwz8Vbb7F+kkKsN/nQycoBl7VGvnH3D8SEtMBh5nED2IjLgqABBxbAZFBl1VM9HRwKi8%20RBojYwpxlwOc2CRxENIUmvxGl1AQdFQ0x05QehzvhcRlTqWzSjrGDshIccdhQDvlIKq8Zxc69Tl+%20IxbZ5JykG/8ndyzAT+mmJbmv/QXbwf32yQO9IFC04vX8jyZTg5g+V8cNcYoOGLrahoB1xF0gC9Y+%20c+ZMjyivX+/cqwQ5jRC7g+gPHjxY0Ou8POefxV69lH/G4O7UlRabQOxr28XB663NCBR9+7J7Z0QH%202dr2fcEXzoddVuIDCUr5wd/ljDG9R/ucPW7IHdIGlAJ6XJ9D/DYo/Oppej8D1m59dbbwhLqQL8sl%20lO00QC2DFvdouOP0GRkdYMYdfmgpSdqN1W/kLRsIau545nMmKU5fyIMKDTpqJtLjyKwLNk9V4MU/%20z4F2S5qFxSaiFJL4EQQdSXScwcTRziPiuCDoEKB7bBeKPamnzjZGjYkMv4BwdDlLp8YJVPgeeNLd%20cR5b906++TXcoJJfsU25r91YvPJty85IbZgI7eRyX72+aJlLPY+4QbcnXPFwbVg+r9EjAtYR99TU%20VGjTq2PtCE7uTKVbV/H+1lt9V8hatcr3vygtNhQjvfZ8hTECNQYBsPOiH96UywlPrEs3qOEpv/Wa%20mVLSXz2608UR9Vv7RBvcglaYKVr2SlWRS1NJnx40GuBBRPmhP6RxwuX/MK9ku/eQ6O7PUiOKQrrU%20k4FOJizQfxm0KI2DuFdVaQTZMjOwbbHpUzUj0ud4BoUqLlQAg/dy567qRlf+ykBoLlw55OAL/0Xd%20grVL7guCDu4OAbqudqG/kD6pF2SkRIariyyL6WjS3WOTJj/gRVOtpJtfVV3qhd+8mPfunXjg44dD%20HkIRwJ+Ugs8fz3vrdtqfCwbxl02mKQkGrRYiEOhfYe2QoX6L0KZX9xKKF6hfNmzYgL2nK1euTEtz%207JXGcftz6MOeXtrBYUtGwFYIoMORjCcivWXy/72fMuFD+h8aVLXi9EHLYnYkOzculNPF9P6zxqkd%20/+HOinHB2s0QzJRuXkpvY2LOHR1I80uN66rOzLUo5I9UkuGfZ5oUj8oISOAuAsD2g/DUxuI9wgti%200h0JcjBplQwdVxqouSizSLk7jKUllb6AZEuCrmr/mXTdvyFuARfH96qyEjynUhVggUImuuMQ/86L%20HCWrQOIIiHt13s5ro3y0+0TRkZzSAOcVw1EMJ/nmV2POvYp6wznNfeX6QvT1NKGDryFh29wJLrC8%20D+7NffUGbJuhoaI9auKY6bH9xtg8fg7PbASsI+4+VyIKyaxZs6Z79+4wHjBgwEMPPSRGrV692ufw%204Bo09fQKbkg8OyPgHwLFP76rNIVBgufyh1BeGupkh/wjOl76LF7xhn/+/Rh1hrU7U7PIUGpnkOHJ%20DeOJYKb457kQo/sRQHVDsFm24Gtyk9OgbcLlzr9aBs6i3RXKfSjqharKssC2qKKgkOvO1PO1R+LF%20Up10N8Rp9U7AuVX1WGALFo4MupChU4IOziTV6tURdFVGHAQd7FwQdBealdoER6BvgcQr93/Xlqz7%20XPk0LCxx7HP0cZB/GIC1l5Q7N5ykJ0Z1aKT8eqocpsVH0mZMa/cZ9+gpIirhT1MTr36KSt4xe/Gq%20d7L/O6r0d+V+27811pJRKNuF7af5nz6S9eSA/Dn3l21fqVo4RO0pd3+KLe+1BBBephcEbETc3aOU%205WWk/N2257KJp5dto+XAGIFqESgvLV71rvw07sK/yrrdYIToJSQ/KtnwVfn+36xBEmVh5ETR3Ufq%20mhS7VCMatJVDile8rmu4d2OwdipZdrD2iEgD/fvhyrW2jG8NoZcpaDoc2qSIei39iMd9iBkyd1Et%200fEg6Oh2OiPIN6g5HolAhk6Pl+11VqbHwPIjO5Sr60whRfyI71LiIn6EyhzsHN9VRdDB48HOPQrQ%20kXIuXPpi3nt308dTuAdOuumV6E6B5toRFU23n9vSube1unPUu5ViQAcack7RuTPlznm0xDvcOpqR%20ffJI/rxJladrePkg/zBEiZjSP75FE6uc/41B2S5sP8UfuqpSpbKncBvRqH3S9S9C1G79thn/1sWj%20zEbA1sRdLj47O9s7EEjP+0RKiw11ossetSzdXz5DYgNGwG4IFCHdfrbiGPLrsQP+QiNEjjCyueOB%20mHgVWbIRDTny8kylnVCMTuKOOOMG3y5jLt22Agp+Q2DHNgDqCg3h6d5QQ6bww0lUe+WPYYD7U81I%20t2NFlLijeHnFyX3alykIOlKS7jtBwc7xBZpOvUkzB0Enm0dFr1C8oG+JbNxeDgFBT73/a7EZVJVZ%20x0dg59oF6NgKkv2fK4tXvU3jiWzWNfmmV6JaOxohBf6i/LtXC1/EvWWynHHX8aKjBqllpE/IZhLH%20zEi89tmIus3p0sBNs1+8inZgCHzhIe2hbM8v6CyRM3Ns9vRLcFeDTfPYAu5xRUia4MlMysS59Jc6%20pNfOwRuCgF2IO1TsqP+I15QpSucUucI2bdokJTn/KtHsO2rDUxS02ARibwji7MT+CFSVl6LyIJrp%205H1wX85Lf8azS8gN0a+ueOVbQZTkWoNbydrP5ESxF9zo3pMl7qJbpEHZjpWqjVNmBFn6xzfSbVSH%20C1VKYi0z4vkybf1T9L0BSXdUe0DhHRLYQDyd0BKM2Tb4Z4+crpilMu9kIE9FXHamGiFwF1GFRcfR%206jQef6dAspEjB0FXZdCxPRTsHHn0/M8ep0hKuQsIOpW+yEQ47qloW1Bc2HWfWJ/819dA0FVXFD4C%20rffjMlN+L/auxZ7CMz10z7YdOPMZOg8k3/5ORONzDLkGNh0qKCipEK5S4iJRvt2727SEyE5NFJvf%20M/MNCUPlJLrLsJT7vqB/Jc5ciBWgqvmfTAl804UZMVvjE7fBDiXMUxfmvT0BtzEVR5XnPKoAIE2M%20PW9s8i2zk/4yy5AnM9YskGexDAG7EHcoTcSaRa138Vq0aJF4A9W7EL7jJau2g7XL/azSzKcNRVaL%20T8vOBE9kBwSQ3EUXwOxnBxd8+RSa6ZRt/6HixF48u8QG/5INXxd+8xIKJuS9dxetbG2HsI2KAfss%20K3OOCm9hUbEx/a5194zcT1QbpZh3yZqPjZq9Oj+QfsqPorv4KfGMu0jpYIqbjQDDBv8o/PoZGRXU%20vagkYzYO2v0bopapOLarUu4/joikaXLtkVRnSb0VffMSCLqqikvhMse2UXeCXpF1RPhU1U0XBN2d%20c4N/g6CDnaNai3swoPIa24VqXDKeHoCcgbXjvo4OQYvfpBtejh96j0Y/Wsw2Eebds0WiliE9mitm%20JhF3EUbcxXdiO7vqmin9fREyILT+kpaYQ90GDzAh9895+Zq8dyY6lDAl1d4v4WkMnnAm//WN1AcW%20xo+cFNmyZ6ivneM3CQG7EHfk1NESFYtEUUjUcccb5OBlm9WhQx3/rceMcWymhgEK1ODN1KlTBSjD%20hg2T6GixoVDqtTfpNLDboCPgkGN+/I/cV8YX/zKvqrTISzzowZn3zoS89+8uP7It6GEbG4Cqm2N4%20fKpH/zF9r5bHMaQyx8mljA1GeCvbu0apIx4R7fferMgW3WN6jZIRFq1AExz/C2sUfvUM7uikN7B2%20JMnMWL5/PqOJWsbvopBqnUx4hMZg3FsRYSC2gaLSuaP145kyi1HtlH2u2AILgq6quILfR4/TJYx8%20QDQQhdycGkDBIjLojqaebi/t+haNa/RghqTy0v/kvDia7scQZnEX3Zpy92f0mY//s5CRmw4pFLBr%20M03EvRsx+z2zoKzCxFqceLCAJk341QiLUWLD3SC4e+mW7wxBwOZO8Ler4NOp0MOgwE7FcUdrGvdX%20ZNPOeLCZNP4/aVN+wNOY+GH3RrZSOtXYfIEcXrAQsAtxx/qffPJJgQL4OjQzAwcOFAXd0bMJtB5v%20Ro0aJQzGjRsHA0nrb7lFeXbv02bEiBFCkyNc+bQP1onhea1EAMVGcl4ajeZ/2idFvY682bciJa99%20iM0t8eiWihaie/6puoAdZdQbtpOflqz7wryluabbLwmLjPZ7LnQIr3P2F78y70TRd547wfn0jx46%20tExbbP/xfj8H8DmXfwZUEYvTSu8xtDv0WQjSvdI5nItCiiDolL7jPXj5GZX5OkHQIxpkIAlNg1HR%20fTQhQrJc7PukZsiRo1coZOhSpE4/tYKge0IQTBSUne7qFlbRXUek3Pt53MUT64Qb/K/2WG7pwdNK%20+9VuTTUR92ZpMY1SnL9BlVVVpibdBQIojepIvZN2uTiYP/fv9LZQ+zUZEpZ4Qot/KLmzrst76/9K%20Ni5wjxlVHZFEQGFHXMnJ//de/PD7oACktzchsUwOMogIGPzXJJCVoMo7OLrKA8q6T5vmbNPo0WD6%209OmC1ouXFhs6hV77QBbIY22IQGXuiby37yhcOAOFlml44WlNUAI8cdy/U+78KHXS0uTb3nYUXe58%20CbXBH2iI4LH1yobr8iMk6GTkqKg2fdHV3IuT2L7XyE8hIvJjOo1DaHLO73S7mAvlw6lgBlUvyw86%20ujLreoHO0h466FcfP+IBXR4sMHZURMlQUtp+3F46Kqzv/lm5Hog3HATJhgAdBB1fdDkQt4h2oZKg%20uy9WaUtEfGJfoyqDDoIOdo4MukeCbqy+JZAzUlWcj90vYKKqtgZoeoB8c+I1T6MNQiD+qxsLgbv8%20CMr1uGit/8pp0p2KbcwI0vl7V7dZ0s2vQbRNp8if8yDdcW7e7FZ6xmVf8OWTWc8Mxj8Uj89jY7pf%20Btl66oOLUVoXf83scxlbiRLPFTgCWn/bA59Jiwf0VQURF5oZdF8Cj1+8eHF6erocSw1ghlaskyZN%20UnnWYkOH6LXXshC2CQkEyvevz33jprI9v9JosW0ucey/Uv/2NdpKR3ccjO6A4Yn1wM9QUAU1E5Jv%20fQsHXf4DfTKlZqg2Swhxj+7hQsjczyYMwiJjxHFkXku3LjfjjEOVVFXgeOyGF3Tk0edcFOAscUP+%20jxIpbFrQ5RAbANDLUBmCCtZ2kra7XMYdLpQ/lmp4LqQquuLYlkp6mua9exd1jlqKYs8oTj1tPkU3%20dKp2giaOex7bQ1FIURJxWs29TmSMx82gNmc2eJqR+8bNqhvX8LRm6IeafOubxu4KUF2olHN39bUt%20lY5VqWV0Xf+BGEO0jZaf0gOyHuDuFcf3BOLTJmMh60KBKajY8aDJsbnfre0U/onEj7g/7aHlCX+e%20Jqvr2iR4DiMUEQhDzyNV3FJG4v5RKK4wiDELJBnGIJ4CL1ND7eBCws5sx4wbdq+WvnRI1hYu+Y90%20jof+yRPnhEXF2XOlWqKCHBMPdp2WEVEQXEpeXt1w7N9F7R3xKW5m8HRCy0S6bOgU6M6IPi+6hns0%20Lt2yLH+uIo9GotdzBW5PgwERgJKfIJ8KLUTgIZnhAWQi+/nLpOfUBxehFxV+FCURKavGj5CYo1oL%20uDukJtjHiSMFXz1VssZ5coUTMG9Zvxx8Xeba6XGYlfz2FX6zcD2AoPug3ZUVp6f1lywnZcIcNFU1%20AwqTfDpA+/QRVdXt2AE3xQ8zcgdqdcHf+s624jJn66WnrmrTMj1W4zLRr+nWt7eWVzr/78+4um2T%20VOcduEYPgZiB4NJaTHgugTucQBwGdyzUlSW/L/LyRAs1dmJ6XelyjxrciGv37FuOFLzz41E8nrqm%20dwPaj8xuqPgk4fbKuNsNPo6npiKA/x8q1g4ZTMo9n2lh7cAE24nok/2KUwcKFxpPW60EX1W5xSdr%20R2wxJCuPjDt6iBoecBlJ5KsedPg9F8qr4YG1HI6SJtXtg1RNgWJ2lLU7HsjYlbUj8srsQ7Scdtk2%20x2YMsGqUOccXqrjQ1ZVtWy4k5siji1S6e+NGWuwc2XHsAQU1x2+BqhsRDqJ+C+6FfCfLwyOi210g%20w/B7E63fV0IgA9EGFRhS1h7ZshcEddaw9u1HCyVrr5sQpZ21Y8mR4XVoUcgthxXJTSCAaByLkqlo%20iCaNyw9soDxeo5Ogm6HnWtEPs7P/PRL1DDyy9vC0pnFDJuBuGVXtmbUH/XyJAIrKKl/6LvNQdgma%20GLz14xET92Wbv2Am7uZjzDPYDIGiFa+p/lvgfwlkMLoKg5zplTherqxk3WdUI26zFfsOhxL3GG0l%20F1GnBQW5FeJFijb6nk+DRdmu1UorqPgUA1uQxA29W0buKOy46Dmf4UDHjGJ20gyJNGyB8DnKbAOx%206ZOKVcSMWBHYOVVdo+0UjoOgCwNki+lm0KhznOovsG2QctCpytzjwhK3cLjU3Yudg6CDu2t/WOER%20ClpoBbIos+Eyyj+2tRR84dx5JXzihj/5ljcgqDNqCu9+KNvu1Dhe76SUuP9xWN2nU683vfbxQ++m%20+xYcXczIUyy93iy2x+8F9OtZ0y8p+vZ/snIujSG66/Ck615I/dtX2AovnnHxyyYIzP/tRF6xs+9B%20RPjZMgU2CU5nGEzcdQLG5iGOQNF3s4qWvUIXAQEG/pf4saz4Sx+IbNZFDkTNL/QZ8cNP0IeU7fyx%20qihHhBGemB7VQauUnJJXw+9bqG7eqHS7c43JDeJIRW1MpKpFqDoj6KRDdcyocwcRs5VnrTqCDn0L%20IgdNxxsaD3i5KjzsqUUzJknQITenGXFkzaF4QfocBB3Hy3asksOjOg7GcZOqtdB689hwUnl2P4OV%202OqdC1ti0O2Sjoof/jeq3tbr0A97PPGXozqSnkoaXVGRAHWlcXjgZvEjJyMnLf34Xd8p8Ei0e6gq%20KUC6B1l2VIypU+UUKcnh+EcQP/LvaQ8tS7zmmaiAt+Joj4otNSKARPuC35V+nRe0TdE40J5mTNzt%20eV44KlMQwGZEl66ZEZHoigLxtN+TUcGMY4vSmVJ3Ifcq3fa9QtT0/NdB4lkOLM/c7KUXoB+YmKGT%20kWEgRUpZI05cybr57kEiqYaCIbS8PepgougytkP4sSKfQyBAhwDD/SpCCRdB0FUfYZOo8Fl+xKUL%20o8xo0kr8qM+D4yDoyJQnXfe8Khhwd6TPxQ7R0u0r5afRHQb6DNtvA9T5iWzSSQ73o/qN31P7NxAN%202nA90LEJo6fFXnCDf978G1VaXrn1iJIm79TYR8NU91la14tFp1VxHL1Xdx6zOukeFhOfcJly81N+%20YCNKrPqHhjWjsJkHlB0PB1SUPSwKz6PGJ//f+8m3vxt73jhsoLcmHp5FLwLzfzsphzRMjr6yRz29%20Hmxlz8TdVqeDgzERAfzZLV75lpwA3AusPcCuKHg4ThvdF33/BlonmrgGc1yXEeKuq3ILngVT+kv1%20NgFG6sgQ558WTsLioJMxnj7iSQuqEMo4C754omD+EzRsbLLM+d+1tB5lRIO2YO0owxzg6gRBV0l0%20kFbP+/AB0YoIYnQ5BY7LiulCgC5fQl+OHLlKaB43+P9QSBEcHZsxpHHZma43oq6LFwE6WuRUHNsp%20R5mBPF1CFLkxKNuh3DAEiLAZw6FsLvj4H1RihCRrTA9lv4QZk7r73EJYO/aV1k+K8mPe4KplEDCu%20q5ieV8rI8SDUS0tRPxZo1JCKk/tR8xe75FV9BrCBBPXXUyd953ju2lS5+TRqXvZjIAKonfrTbucj%20Zbi9qqfyZ9/AWax0xcTdSrR5rqAhUPLrR1TXjm4XSTe8hGrlgQcUN/gOKo4v/kG5NwjcuQUe0Jsd%203YjERGGxie5Ebf3+/MWbT2/K9LyJjSbdDVTLmKeTkZCCf6vK1JSsn5/9whX4J40W5blv/BXbl1Gl%20W9pH1GvlYO2pjTWeFPynBzVHslxF0EG+IUAHQYc2XUXQJTmgBB0kW0jJHQS9h8J1cAS5cxB0fIGp%20q6JC3Rhw9KhOQ+Rxx4k+07XU+4veqOC2FpeErxEBfU6JuyPT71ZKLyDvhg7O//xxbEOXLvGLjySr%20oTNocraV6GT8ELiLOahaZttRS/enKgBePFE+uQJrL175jqb1W2iELto5L/1Z9SAI2Qooo1Lu+wJ3%20xXh0YGE4PJWfCEDdLkd2bJwwoF1o62SwFibufl4KPCyEEEAT8oKvn5UB4/kmWDtkvsYsISKSSr1L%20NnxlrGLEmCCr9+Il3Y7KFS9+l/n8Nwfe//no9MX7//PtwRIUk3N9OZqGRjgfu2M3pFH7zFx1MoNM%20AgEbXhP/7GzYLKaozDqEx+LYroANmnRSPIjANUOFufJTQdBRHtFdxwJqLnoSUdE5Td1RJg2ZiiDo%20EJSrMuhQZKHJIgToquMwBkH3IkBHoVJU3JOhlvy+2CeSpX8o7eijO7l0HPM51g8DSGWU6jcVZVSl%2044c384YULnmBEjicqbjBt5s3nRfP244qyhY/BO7C8zmNFMa57UihW1FoK1aGO2eUZpIzFa16G9sw%20rJhY2xyFC6bjy0UbExaO3VCpDyzUWHxM2zxsZS4Cq3fnoAqTnOOqnqEtkhELYeJu7kXD3oOOABKN%20+Z8+QsNIHPscKqIYGBie+UY27SwdFq9+z0DnZrvCzlQ5RdQ5g+h0r/1w+Ne9ufLI2n15s1ceUcWD%20nJnhSfczOhnnRqKwuGT0AzcPhOjuIxNGP1EnrPq/hOGRSLAlXvcCkoJIn59+tJeKoCNrDmoOCo7j%20WlLaIheOFeHWUVWVBQS97hPrkUFX1VmHsaj34gcOtN1v6e8LvXtAK7GK47ukTXTni/2YUe8Q+6tl%20UPyx+EfllxpPpVR9XvUu2W/7otLK3ceL5HDKv3X5bJQSLTU2qOm+NUhJ99gBf1FKr1RWFK96W9cq%20TDLGE8i8dyYi3U7949Y95Z5PHbUsQ7seiUmY2dftok1kT2pGChWJ2TdoX5ExcfeFEH8eygig7yZK%20gtAVOHb9k+rRRi0utv/10lXJhgUVR1y0yEbNYrifiuO7FVF+WBgtufjd1izK2sXUyF4s+cMpPZfB%20xJAtqobI3Eu3LlO4o2ufWmMREMlvFKRPuetjj7sdAAg+Egk2ZM2FgkUjQQc7x5cQoEe1dnm8A/X5%20GYL+uketue8K6HpQiOk+UpqjUWXZHqWBlLsbqpNBJR9jI6kuanpjZlILXj2AqW3LD/5Oiz/i+UDi%20aJc/KYE41zuWylqa11X2mOr1A3toBuQoJN398GDAkLAwcHfpx3EDfDrTALcBuKg4sTf39ZvLdv+s%20+AiPTLjyEdy606bLAczAQ61DYPWunL0ni+V8l3erCel2LIeJu3XXEM9kPQL58/8J8YOcN+HKKaiz%20a0YYcEtLQxaFSNKdFs/G/Qztu/TlRuWxNc0x0QSGQBLEKzzR+QexqigXVa4DRLhsi7PcOPygX1KA%203jAchFu1twwHwRKgb0EGHYw8on5r7FROmfAhOpPLHQthMQmJVz8VUa+lKgDQWcpokTUX2z2RhVUl%20xUHQIXHBd2sYsEegUOkiupvS3tV70r2UaGmiO1mRbndcP236ogipCN5x/ZCt0oGf+gA9VJWXqkq2%20J4z+ZxCLh9CH/n6n2wUmLmoZoiUIEDG9w2PPG0sJMQQzej0YaA+xX/4H99HnZtiPnnz72zG9Rxs4%20C7uyDIGFm5V0+4XtU5vXta5JsKlrZOJuKrzsPJgIlKz5xEWWOvCmmN5/Ni8gmnSHqh6V48ybyyjP%20LsQ9o790u2J79qn8MvEjWPsTf2otG1aczC9DMl4VgEPpfvZV+sc3gYQH6Q7pu5Sqq6oJqrW4i1WQ%20IIfEJevpi1TVzSFxEWxebh5FgXacxKg2fUT84WnNVAQdHB36FuwEVRFxbBIFQQ+wG1EgoHkfG9NN%20SbqjVA4eQ3m0x9MS2VMGDaqiOpsucJdhuGyi3aI8bzEPE42eC7+chqdS0jhh1KN0z4BGJwaaUYF7%20oMSddG7adqSgojJorSRjBypJ95K1n9GiRgZC59MVbtLy506ibcuQNUA3XFqx1KeTWmIAedWRnNKN%20mfnfbs3CY9iNB/PRjvR0gfNfhk1A+HFXzj6Sbh/Z1ZkdsEl4gYTBxD0Q9HisfREABSlc8h+FGXQY%20GE967pgRN6Tekc27Ss/Fq983YxYDfaJkStmeXxSI2inE/Ycd2fL4Fd3qta4Xd2nXuvII/iCqwnCV%20uX9Di7HoDbiU8Lbojh7S7WDbYtOnyjMKLKJaC5Lo7gRdWKq06RFpzvowkY3bU1dInIOCO3oSjX6c%20Hhc5dehbbEvQq4Magp/wus2cn1ZVFf/6kUdLcHp5HNs2wiKj9Z47v+1pdp8Kpfx2aMhAR9mfDQuk%20q9h+Y2N6jTLEs39O0LMd9EiO7UA2mPrhsEFSNApai4Eg7fSWwA9vgQwBqhGNO0gPjg5HwXhBVEn/%20qsT0uRq7ofDYLRix2HRO7K/4ZN3xKZ/vuenNrX//eNe/Fh94+8cjM5cf+teSA49/ufeeOTunzt/z%200ZrjtPBREFdCHw5f1D61WVoNSbcDUibuQbyueGoTEShaNquq9KxwMzwifsQDJk521nVsf6UVS+nv%20i2xe051uS0VfIVQgEes4eLpkB+nJgieMODjknDQJID6lwkEcx2ZfqE2kQSBJdxfeFhbmTtDBzkWZ%20RfoR2Lzk66UbFALq+Bt3toCjSmiONDly52Dhqo2GgqBD32JSu1ALrkP3KWL7XqsQIxB3tzIiFSf2%200OshuucVVsbpUMuc7Q+PFpWOJsTBfpXvW0/reCLRHk96BgUluh1E0NI8LSY13lnNye9gaM6einD8%20duj3wLgLSNJ93edU3+i3T10Di1e9i7/Ycgi68iVc8bAuDzXYGD2/vv791N/m7Xzsy73oZLT/lKIa%20V60a/xegsXxqwf5pX+/bfCg4ZUZFSKuQbidxXlqD0u2Of2o1+GrjpdVaBMozN9EK2eiUIVmpqZig%20ggdVupf8+rGp0wXovGzXaumBbs1cu0+pJNO9eSIKUMAMybkezZWS3uv3O0Qm9KVKumuPDfoWMCTB%20wsu2r6wqPJvODwtDZUYQdKp+gZnk60iIylnAtiXPVhFubCUEEceXqtg5huCIuzBde+QhZAniLuU9%20kMrkfzRZFXzx6g/kEciBrJcH0M0MlacPBhdb3PMXfKnUCUXpJGxPDG5ImH07uZ1uH1i6XayF5uyD%20S9yxDSOiQYZEuPgXS5Pu2LRduPQ/5PrvperwEPRTH6wAcovLkWK/68Mdc389diJPhxIGl9Ozi/Zj%20bLAiX7JZKaJwUYcalW4HpEzcg3Vd8bwmIlCM3tRnX5HNuqIrtYmTubqO6XON8u9nzcfYbGfZ1Hon%20ct2Zquhk1hBS3qdVsnTbt7Xyfp07ce+syNxRk6EyW104UhB0fKdxim5EoOCCoLuk289mhan0BaRc%20bAAFDY06ZzB1lXTdv8HCRR6dHhf10fEVxB2iek+N8faR0TTpjhNEle4ogoSKh3JS2tLS+Eiq8ehy%2047dlmWwKZlkAdKKCL56kj8vA2iMatAlKJHRSmnEPUCcj3KqIe9BE7meCiT3PUbtJvKCWQZ9aywBH%20kX45F+rPJo563LKp7TzRt1tOP/jRbqTYC0vV7TsQNqRWaOM1uEPaBRkpyOm0a+ihFxXGzl6l/kdg%20wZJRD23vSUVUdm7LJAsmtXIKJu5Wos1zWYFA2Y4faWGK2Av/asWsZ+dAgRGltEhFebFdk+5oMORS%20K721c0fm8dzSA+QJY2/yJ68XeX/gdPHh7BIKLJhNZHOlOn7RSpcOsiDfgqDnffgAzaCX7V0nnZQf%202UEF7qLSCNi2SoOOPkRntOavqboRCYIO/K083SE0V0y/a9F6TASMTQiFy2bK4Gkpj8gmHYOCIdRW%20kY3PkSGVblR0CxaDXPzju6WblE5V2K+MYv8Wx+A+HTaPumTcPfEkvUHiMRqt5h7cpDsqByhtiVHT%20/ec5epfjnz3qtVORWPzwvykbQvzzGPqjIIaE3OXt1UcLSyvoaqIjws5rk3zHoKav3tDh+TEZ/xjZ%208paBjScMavrg8BaPXdHqtRs73D2kWeMzT2jla/m2rHd/OmoxJLRmMfqk9mrBxN2IMzBlypSwMy8v%20zkaMGOFuIw+Kj+RL5WfGjBkZGRn4FN/nzvX90E2vvREYsA+zEChaqaTbUeIQjTPMmqkav7F9laR7%20yRqbqmWqS7f/ToSJnRonJMZGyFUmxkR0a+ZUy9QtP5nz9b+wH5Rm0GltGZrBhQdpBjE6Je6SIyKV%20XlV4WhZtDE+qlzrpGwjNQdNV3YhA5UHQa5IA3ZrrMzypftzFE+VcJWs+Rdkl/Oho7LppiTweO/Am%20a+Jxn4Xy4xJfvaJMCrJsz690U3tk696oEGrSXLrcglXLjQmNkqPrJUbpGl6dsX3UMogQ239lnI6k%20e3mpIWv04gRi+iJSwwB6rZhefzJ7Upv7/2LDySe+2qfaYJocF3n1uQ1eHt/+riHNBmSkJMQo/xfk%20cuKjI/q1Sf7XNRk3nt+IbsBY+sdp+LRs1RsO5NNb0OGda04xGYlhEDLup06dmjVrlvezCLa9ZIny%20v0Qa79qldPWrzsPEiRMnT568e7ejhhe+jxs3Drzcy3R67S27/ngiPxBAmery/b/JgXHWptvFvDF9%20r4EoVryvzD2OAmd+LMTsIa6FIC+Q023KzJfvuzZLgJQFIhZJ0Ls0ddZYGJ31XsMdnyGPjgy6tKfE%20vU5lBc1jSfmKQz/dqrccAhYueoXii2bfRT0Z5NT9axdqNnoh6h+bp2mL34Kvns578zaXLZitzo0m%20kieLlxlNylZWHN1RtmOVxQFU5p+mVdtRUcQO0nYBAt0vbojAXbjtQDL3wc24IxjUdA+LTxGB4R6+%20xPzyMrhJqyo/++QwMhrpdosvOVtNh3qO/1568OO1LsL0yPCwcX0bvnxd+1E964Gaawl4WOe6Uy5r%20RVPv8PnbAfW2KC2u/LBZ8odSu71f6+TW9Zz/i/1wZdshQSDuU6dOzcryXEhYwARm/8gjnncCCTru%205QXG735XAB6/Z88ej6P02gfxRKJSB02MBTESO09d9IOi0Ijudmlky57WRxsWHQ/uLuctPpPXtNUL%20tTLLD2+RIWFnKig4CimCoOfsU8rPd22WiBKK4O74NP+zx2Hftakz4x5X6aHVInK6kWclNzAu379B%20TiEIOtLnKKfoDoWDyoeF08vbyiLitjo1ZgcTd8mddIqyfYpUKSw2MeHyh8wOwIv/8MS60V2VXlHV%20la00L8KCzx9z7df2iDWb2rWsaPtRUgjSCJ2MmNRWGfc6EVEuSXeTt6iWbltBWwWjhkF4WlMt56JG%202qDewCOf71HR6/4ZKc9dm3FZt/Rwb/IID3iAtSM3HxetMMw3Vx3JLio3G7o/DhdsIg+Nh3dRqhib%20PbWV/q0m7khv+0y3z5492yNB37hxo4Bm+vTpVa4vCdn8+fPF+zlz5sBkwoQJ4kf49AirXnsrzw2d%20q3DBs/nzJud//I+Cr58JVgz2nxfMj3ZLCUq6XaAUS7aoVhzZRvtAWQaje69QTA0ijlZEee84fy9w%20BPc24QlpSLue2Ru6YtBJp7YHz0ZbpcdCdy4CFjs70Xku/cwz+s/Srj8dWb8qJlG1EzSmx+Vyge5q%20By/6Fgdrr3JugUKz0qjWSlbeMsRqw0RRbc9LHPdvjytNGD0NfSKDCwKVmSHjXp652bJ4Chf/mz4j%20gmTIpC7L/q3IpIx7k9SYuglO1U1JeeXOY8rtgX9xBjgq9rxxoO/CCfILpj6uLFr+mow2KuN8es8Q%204CpCbvjizaef/+ZgbrGiaE+Ojbz3kmYTBzX1W5TVMj32zsFn20fUqZNVWP6e+WJ3qm7v2SKpvXG3%20uLY6p9YRd+TRx44d65O1w+zZZ5/1iNGhQ87e9f37KxUwVJbz5s3DkbZt22IuvJk2bZowWLp0qUef%20eu2DdfLkbktUGLR5dfBgQYR5sc1Izh5z7uggshBsb4rpcZkMxtSku3uvUMwLIg6CjiQ6/VS0LsL3%20ipP76X8sjxS/45l6c2hCBLaNL9l1SNR+PhTd8vEmL/w87F1VNyJwHUUmlH1Ee/t6mm6nadcgXk41%20derojoMTr34qolE7uUBUXkoY9Zj1u0HcEcZtZFTbfsovDqn4aerpAEGkBTGjzxlkdr82XcvZebwI%20rFoMAc9W7f/T5crd2CXpfiyYtbcRG4q6xPYj5WXIn/QAl6ka7mjidmSbPKhKQBg7l829gU+//7PL%20/lHs5nzqqja0pJh/S0C1mdG96suxv+zJdW/e559nj6Og9aJ1iod3rpnpdqzdOuI+fvx4wZJlFtwj%209EJIA+bt/unmzc7sS2Zmpth7CnYu0/Cwl+9793am69LT08X7tWtditAJ53rtDbzC9LpC93U5pHTD%2013qH1wZ7ZMtQKUWulP71D8ryY3pfLed15A4PKxIUP+IBt1YVUoQTHIQAHewcX9QnxC2ixjlYOy12%20LoaoZkcKFtl0EHSoz4+mdPkszdlD6pwzHdEhYoG+BV9yF2lH0il980n1A1S026RbDEs3LtSyWNRR%20Ltu7RlraKtOpJf6Qs4GKLGXivOT/ew9PpSBeSr79HfvsyYshvaJQ3cWCp1X49aRV2/HAJ+Gqx211%20Tg0vBElXZy+1jGOLqkLcK47tLN38jeHnAn8Gi1Yo6XYUtIls3s3wWULC4X+/PUiz1Ij5mt4N7h/W%20PC0h0PZeYvkg7l3P7ozCj3N+PaaqVGMgSnhuIL1hO5bckWXgFDZxZR1xFwsGa585UylDpkIBTFqk%205F988UV3gNavXy8OQm8jtDS4Exg8eLDk33l5TlLSq1cvORzcvTqs9doH8ZzR9G0JE3dPZ4Km27FL%20kiYUg3LiUN4O/SDl1OglpCUMjwQd/BsEHeUUkUSnTrCbU3QjUhF0uqGTqlMcBN3RELS9dOJQpTfr%20gh9B0EHgXm70yOnIeuLT6h4yntNI6QFOG7BLnzGkdh42ZlTm+64nUPKb0usU9w8R9VppwYptAkQA%20G1XjLrkLgAfox9jheCAQRXZKFC7zUckgwNnRrC1/3iTqBKwded8A3Ro73LUQZJyxzilx30aasxo7%20i3ZvEJrT20j6h127E++WEMnIDhvINcQNvt0oz6HlZ9aKQ2v2KamciPAw1HP8Uw/nvwCj1jK2b0Pp%20KruwfO6vpnRlwj+jNaR14KVdamAxGeUft1Hnxqef1NRU6M69sHZ4wC5SfB8+fPjIkR7q5krhO93b%20ive33nqrz9lhsGqVvhoFeu21xOC3DaTDKHEghqNQSekf3/rtqkYOLD+wkdagCHq6XYAc00dJuuNZ%20vKybjo+QPqd9hYS92CEKgq7KoOO4ULyA1tNRtMA5JeuCoKMkC+qdq4qd40faJBXKTnk9HMouyT27%20eSg+OhwKRY+XChqppsQ5kzFFZZW06Luwj2zZi94tlKyb7/OSo8Q9KN1/fEbIBlYiEHexsgcDzaHQ%20Dsmk2StOHQBrrypTWrhDMkTbEZg0r163pmbcm6fFKL/RpZV7TgRZ5u74y0mS7uX715ft+lkvYl7s%20UbCo+CelTzBEMshfGOg/VFyhNRIVrkB/hVrsqOdoePz4V/LncxWEl23LQsVGw2dZtFkpJoNCxuj5%20bfgU9nFoXcYd9VuE7ry618KFC0UJyOpKygi5C6QvGzZswMbTlStXpqWl4QiOB51kQ3/v/jLyNIdH%20ctLdC540KwMyCu5oJPj++orufInSUqROHVE2G6+S374CO3eUcJk5jvoGmxdSFtB0KoyJau3Miaq6%20EYGsg6BDZY52oe4EXXzk3i60bNdPclJK3HcfV/5hZzTw0AZPjmrbQMn57fL0b97lWvVVDRNoyC6J%20YfGpQen+4+8Z5nGmIBDZoge99y5Z91nRCg/FiAKcG81Zwdorc45JP3FD77aPZEhGtf9UcX6Jc9dg%20UmxEi7rGl7ezm1oGrbhQUl0iUPyrsnkpwJOO4UXfvyGd4OFe7MCbA/cZch4gakdrJBl2m/pxj17R%20Gt9NWshVPeu3qac4n7NG+aUzZEbcbUJAL12N6Fpj1e1ijdYRd5+n55577oENtDQDBgzwaCwKyaxZ%20s6Z7d0eDRpg99JCzeNnq1at9+jfVoJmnl7EzRndXdMzQfVaezjTWf+h6qzixx6XTIcnWWLMoh2Jy%20+ati3yedEQcrs5WGz1ItU7ZtuTCD0IUOkQXOwbZp0hrvBQtHsXNVXXORVtdOdnFLgBSmDJIS970n%20lbxjBqHm7hhmkL/vlO5Ly5jeo2WTTkdpiI0LvJwI2qqJ0+3WXLH2nyVu2D2RTZRGqkXLZuEGz8Cw%208auX9+btSL5Kn7EX3BhnSw5Hy6vTsusGoiF2nIuXHdQyCIMm3cu2fU+7cwSycGyFos+ra6dIBlpw%20Kgdvmhbzt0ua454wEGB9jh3bt4G0OZRVMv833xJKnz6lAV0O7kJrXqtUFRR2Ie7okSSUMA8++KD2%20syXLy0j5u/axxlo29fQydgpokekzXFa6S3jRA1K+B0pRHS40FnnpDawXXBxfKv8o/4yDKORCe9nA%20RiWGqcw7KaqbRZ0zWHiAvJhmxMHCQdBBxLEZVJUpFwQ98Hah9KGzY3ai5d17Usm4tybZEXcwacZ9%20t6eMu6OS/bmjlRNUfdK9bPtKuqWYibtJl27IuQ2Liku4+umwBMczVfHCb5mqHa/fi8JDJzzyqjil%201FZCoh1lvP12aOpAF4E7YdgGTmpD4o59DlFtSH2h1e8bst6iFUq6HfWLamEBq53HCmkNmfpJUWDt%20Rm1F9XKOOjVJGEGqqn+y7vixXGM64+J/0OrdOXLqmq1uF8u0C3FftmyZCAj1ZFAuBi95GvB+xAil%20K4fHKyM7O9vnb3V1ifzqBuqyR6Eb95fPkPQasFrGHbGq4nxabJGWpNALr7SHTAU6FneCjn/2grir%20CLps+SmrngtXqlKJOFJ8pqUIEuQg6NC3JF33vCpIEHSMMq9dqKtO5jw6O824e+8215Zk3DOzSuRz%20fOoNhRoUPPf/RhudULPin+fIH6O7DIto0Mbvs8YDaxgCkDEkXv00XRTamhYuVv/K6F01nozlvXsn%20fdKFKkaQtuv1Y5m9S8bdHOLeIj0WfRvEigpKKuwgc3f8/ew/XoJcunV54El37LcpP+jsBgPPcRdp%202h1n2Ym2YKLKqqo3f1QqP8ZEht93SXNsW7Jgakxx9bkN5GWGHz9dd8KQeb/aqCTv2zWI693K0XKk%20Zr/sQtx9ogwVuyD0U6ZMcTdu08bx/z4pyXnCaAIeheGrc67X3meQZhtEY4tqZIyYBdlfZCvNntH+%20/h36k4oyEScE5bQBkM/gHQ1B59yvYuH4j5734QP4SKhfpBMclzXRVaXTBUFHjlwlNAdBh7gl6Xql%20RFLFsV2lmx0tBWCJT90F6D5jDtCgOoE70u0VlVXCOTpupMZ7qwUWGxWO3kwyEo9qGVBw1PaRNsWr%203nWPHMGU7Va2nTl6r/CLESAIICeqotTFq9/Pe/+eclKBWztgjkT7azeqft9x1SVeY9+udrgxRiEO%20sUb0oaT3zNoXrsWSJt3prYKWsSbZRLUfQAtz4dQHNFFVVdH3yk4J/KewWz2lgFanbTDalx48rUgi%20bx7QuLoiBNr86bPCP46ryS5VpMlVjVr1uTtjvSkzfy0pjHNZN4NL4vgRkgVDQoa4N2nSRMAhisGL%2016JFi8QboXoX3/GSVdvB2uWWVnc09dpbcD68T4HWNtGkrQ9q7QU9pKAH4JJuJ1leGRgIN/5Vo06L%206h82RK5g7SDoYOcq+azMxlGCDpItCbrUuohZUJcg7eHvwdHdu3hAto5/PzHnjpLxFP/sSLoH5QWW%20XFVaKKYOT2kY2aSTDMM13e57ixJVy+whGhu6rtgBf5E/ouheoVvT36Jv/ycNIHBCAc2gwMKT2hkB%20iFgSRv+TRoj6Ubmzriv4dCpVqHtZAgr/YV943lu3I9GuasUad/HE+JF/t/PyLRC4i+XbUC2DqGL7%20Xy/PjiPpTjp16D1rKNxOdxzFXnSbXg+hbr98e9aK7dlyFcM61R2QkWLxooack9axsVJQ+JOAk+5f%20knR716aJtSHd7vj3bfFpq266xYsXi72n8iUtcQSfIqcuujJBCo867niDHLzswzp0qDO3N2aMo3cD%20bFDEBm/Qzkn4GTZsmMep9doHHS7ICZQ/ZOhMUWGMSizo6/IvgNLfF1ZmOfvp1gmPwD7I04/2Uklc%20oGMBNReVzt0rMIp5VQRd8G8IylUZdKjMQdBpNyIZtmo7qWo5tJk2/vfQzur+Ldy/UWU7fpQD6bZU%20HNSukxEeqAgeVS88xoMbA/oApGTzN6jjIS2LV71dfniL/DH2fOWxuH+r41E1FYGYHlck3/5uRP3W%20dIHY8Zwzc2zua38p+vblsj2/YgOJfPJWVVKAOo94IImPct+8LeuZQQVfPV2216UHX1hsYsKVj9hf%20LGGBTkagak/iblTSHQUM6P8FVJKJSG9eU39fPK4Lz23m/KIUUMejmxv7NwoKAjTpjv8dX27wf5fq%20z3tytx5xpqKwlit6eK7dvvVIAXavmtf4yXoY7ULctaz8ySed1XzB16GZGThwoCjojkI0QiqD16hR%20o8SbcePGwUYy+1tuuUUch1yeauh92msJzEobPDpEfwoxY1V5ScnmmlzQ3b3NJ1YtuhEJgl5MtqVG%20Ne8q6i2eqeXiqHouXuFxnuu5gpeLDDoemKrE6CDudZ9Yjwy6LPMivYGg+yFAR88jlIaUTsxoKaLl%20IqQ3DFHtLqBDXHem+q43R6Uy+0g5GlUYNOmOmo+FC58TBmU7VhYuVRREKHgf1aaPliWwTe1EAJvO%20k297B72ZVMvHk5yiH97Me/uO7H8NO/3PfllPDch68oKspwbm/HdU3gf34qPyfevcEYvpe03qfV+i%209pH9waQ1XmjRRsMjt6fMHct0SbpvWebxhPpEo+hbpe1jeHKDuEG1Lt2uall68wWNfYJmkgEu40s6%20KZvOP1p7/HB2iX9zUdKPXPu2I459tyfzndJZ4ROU/akF+3Ec3/2bxYajQom4oww8OLoKRJR1nzZt%20mjzo0Wb69OmS2auG67W3wymk0mEhmA71l0eCDimLJOh0gZC1iHahIOh0u1JkRn+POIB8CzU5vsuC%206MISGfQzBP11j1pzYwXoNOmOZ/3oGGXxWYO8vuLkPuekYWFR7ZSiq+WVVZR8t/JaUkZ4gDIy/OwG%20cvyhlJ2bVIuKaNA2fti98iDEXfkfPVS07NX8eY5Wa+IVFp8Sf8mdFqPB04UcAsiRJ477N75Q5b26%204KtKCqtKvfUPQq2S5FtmJ1z+D3QMsD8CIDSnC5wsBPsIq2tmbNRCOpKdr1tIItMo//75cSTdSSdd%20WhZGo8PSTUtKtzqrX2AI9FEQnWocWzPMUOOc9lq6rl/DVvWCicA1rrtU563R0UsV6fMpn+954ZuD%20c349foDo9QtLKj9bfwI0HR/RswZ78SOy+zUm6R5KxB3Qo/EqWLjQzKD7Eng8VDTp6S7PR6gNLNGu%20ddIkl47Wql9FvfZB/02O7qzs+XMUdM+vdvdt0ENVBSAbDNHjULBAgI4MukpoLhPneOOR2deJUDZQ%20IhWHp96g5kiHg46rkuKo3wKJC74by8V1wRvZqldUhlLFRZSXsfKlSrfLOuuI4eBpJeHRMDlaS0Ff%20lH1qma5I4fdVo5aBcyTdaXYft5pFK16lvSrjRzwQFme11NJK5HkuAxHAb3ryrW8mjv1XZPNu2t1G%20NMwAXUu5d37Sza9GtuypfWBwLakMwNR0u1hmxyaK+HjrYSfdCS4CYnb64K5szy+0a4eG8KqKvlPS%207egbXdtqzpZVVCHdLoGCJmpkV8+SEg1gGmOSEBMxprdS1n3d/ryVO7NVrsHCb393+1ML9qky6K9+%20fxgUHEMWblI0NpDOF5Q6m5SdyHPJuF/YPlV4PrdlUny0ubXqjUFHg5fgEHd3Ibt7qNXZgIXv2rUL%20n54+fRqcW8XahR9pA0tVu1YppqczerHXgKHVJpFNOtLWJDbcogqCLpLi9AX+jXKKWU9fpBKaY8uR%204OXYPEoJuiTZ0LRQwg1ZC74c1QYqnMUWMFYUHwQ1T73/a/cijFafoWrmo0l3JIHKD/5uZWCuxN2l%20xxnNWzSv6yxb5DM2mrOpTuYunCRcNjmicQePDh3do3ooncV8TsoGjAAQiO50cfJtb6c9tCzx2meh%20eIlokOHoWh/prGoXFh0XXrcZ9jqj/SoqxqQ+sDDlzo9wYx+R3iK00JPJQoTdsbG3ZsaGrKsTmWLL%202TylIZ4DdAK2TaWGRctf0+4QIpmK00oKNu7iWvdwD6ydct9xfRtqR89AS2S7f9iRLSO5qENqzxaK%20ihV0HAWU5HQwFqp03LvSqpE0ZV7lrIJWBw+jRvWsN7pXfQwHNb/+PJcFgq//Z2y7vw1tji8DlxNc%20V8Eh7sFdcw2YPbqz6xbVYCwJJBvJcneCjlItIOhQuagIukyoq6q7RKQ56wVBCE4JOigdtOaOnkSj%20H6frg42jFVEDx1MX8Yps1hV/2YOBgb45HYVTSLaveNU7+sYHYF2Zf5Juzotu7yJwpwXCmmtuqE7r%20iHkn7mBRyX99A4+8Xc5jTELckAm2vcsKAGweahECkLtgsz72mKbc9VHq35fUffTntEdWpU1ZmfbI%20j5CwJ9/6Vvxlk1GjPTwlOJvwAkeBZtxpLY7APXv00CQ1Bu14xEdI026xU9KdbiOG5K/wm5e0gIBd%20y0U/zJaWyNwj7aVlYI2xgex76R+n5XL+1KMeLQhmxjJxtwlBueo/Agj3fXN3vfbD4fvm7pTc/do+%20Lgz75WUuzeDjo53sNCFGoang5f93URPVM+Fx/RrWTYgCQX//1k5Pj24jU+xydShwjE/NWGywfDJx%20DxbyAc1LZe7QeSva5YC8eh4s6rEgia76GOwcFNydoEu+rqruEtm4vfDgLjQHQQeBS3Qt+gaCjuNo%20VOTeLhT13YrXfCzjwdZGE9Ztisu4C26UfvGooWzPGlOmcXNatu0HeSyyaWe5v1kcpFKZFtoz7qSU%20uxepjJgiLCYB9eyTxr8QN+QOh67p4olgWrVwi5je042s0rdbTkPTee+cnbe8ve3ZRfu/25pVXnE2%2016TXnWn2ecUVy7dl/WvJATzaXrVT6WJo2oSeHaNlL640iyc1aTpQn5wi50NF8JWMBr6LtAYeCb09%20oLcNgXsO0APSOrEX3CCdFK98q2T9Fz58VlUVLvyXtHGoKGtfuv3jdYp8vEXd2GuIQCWQMwIiDnYO%20NTkkK9QPWDv2gIr9oDTNj2tJJstl2fXmaTFX9lDKriPjLv90CIKOp0wD26WO6OIi7EFqiTbo7N4s%208ZKOylZXcPRA1hUqY5m4h8qZcokTxIt2pihFXciAX6DmIOKqDDrS6qDmOO7oEE7UL3gvfyzbtpxO%20Lnm2ey1FZMrFF7UXBN1dmO5lQQ7WflYngz/HkLYHvHqLHESdcxF6ysjJUFrYmolLt30vJ0IMqkld%20pTJaNy3RjPvRnFIt+36iOlwUN+h27C9E/gwcy5q1h+4sv+7NnfjB9rdXO9JXpwrKSsorNx8qeOvH%20I098rdZ9BneN6w/kTXh/++xVRzYezMd/6Fe+P3TXhzt2Hve2STS4AYfE7K7pdot+WTqRGtu2Usvg%20lMUPvQfP7hTu/ovS0cXjCS2Y/3jF8d3yI8f/HbItKiSugQCD/GbLaVpO1Dtr9/gHHH95cCuONDlU%20LjSYH3bkgJ2DtUPiQgn6/lNOuQu80aS7FHqBkbdMV9SY1/Zu0CxN+fGdn44cyXFWuMY95JTLWoG+%20q7j4u6uP0loIY/sFR/kT4KkJcDgT9wABDNpwl9oyW77TGAeIODLiBZ8/ptKxgIWDmiOzDppOayni%20uNSd0yFg52IDKGi3qhsRypzjTyQy5apuRLAX8vTAd4iW/Ooo+yhesX2v0bh2m5jFkqQ7Spv5zhsF%20HHdVcT7KL0o30a7EHYwQ6VInmFHhjZK1tr+Oigijgniatg84ZHZQB61JXvwuU54aigg60j+zcL93%20eZJlCIKgv/SdyzNuTI2i0S9+e9DvKm+WBW/nibYRlbkFOhkBRccmyh0COF9+ifMvgy2ACo+IH3q3%20jKTiyDaU568uMEdK/revlH8T51+nSiTZYkVmBoE/HR+vVfpmoNeS0JQjKa7a7omD4OWQslz/xhZV%20Bh3sHDeQsH//Zxeh/Ml8J71W0f0L2zvLDCCtQ3dlgK+/dmOH689rNOWylqqL+bYLnVpZhFFUWvnK%20ikNSvO4Oz/zfTqLfqjwO3o+0vZko2tQ3E3ebnhifYUV3UuqCo4Ogqge4aBcKublK4oJuRDiIv2jg%207pSg47icsfzIDvnehaC3PpdGhW2g2AyKYufufxDBzs37K1mybn5lrnOPPEqjhJBORqCHzkfR3S6V%20SCLp7r2Anc8rwadB6XYl3Y7yGhEN29EhrjoZrel24aF5mmLPxN3nidBu8PHa4/N/U/7pug88lluK%201Lt2hyZZ4t82WDv00O7+s8Ddv8usqLSdqsckKAx3u5lIzC3YmSriT0+Ioi0aNmXaqLYMwkNFNdTg%20l1CjcYdKkCk+Qs0uKoKPbN5V9ZjX8JNlN4f4xXx+6UHJqiPDw64+I5JBghwiFmTQVQQdRV2EMQyq%20W4sUncMAO0GRCAcdh5SFZsRxBEJzsHN8qUq44McRXerS57RiIrSCQnlKOenuE0X/W65OBIhPl23L%20+oQof1BniSpt7HYKTI2Hibup8JroHNWvITxQ/oStfp9OBmouGoXmffgAPS55PJg9Je6ikCIswdSl%20GB0/IjsOgo70OfLo7t2IMMpdgG7imsUf5V8/klPE9LkmFCWtkIvIJaALd+GS500FrWyLUsM4mlwz%20YlL/SsqIsS4Z9yzP/VNNXVqNdP7FhpP4okv787n1n7sm46Xr2tPGJbuOF3kn9xaAgwSYLDSO6W7q%2031jUdhAviFZpRQgL4qkxUyAtWlxWKZaDjXfudMe8lXZtptT62Hwo37yJ/POMGvx0gymIe9GyV6ir%20ohWvFy6YIY/gXxgSTP7NZf9RuE5AtZEXV4U6df7enceVlqIQyQh6LesUodgiHSJJttydLD694fyG%20uGnEWPxeUyKO9yjV8p+xGZCyuKOEnLquwosoT0l3lKIfKu75K10T7zOXH3pzlZKqwP7U20mq3v5n%20ytgImbgbi6dZ3kQ3IlUGPbrzEDlfye+L6dySlKsIupSvoF0oJeKCoCN9ji/3zqBIn/vRLtQMLEp/%20X4QnpNIzzb6YMZ1JPiPqtYy7SGndV7Lm09JtK0yaC/1KsQtWOo/qOEg1Ec2Uay8pI5xQe864G3IG%201+zLQ7pdusL/p4cubXlVz/qNUqLT4iPBjFGxWH4KOY3PbcGGROXRCZQwCzcpTSRG9ayP+wr8gx/a%20qa60/3LjSVrlzbxgaphnbGaQK+pMyqtbsMwuTZXdvZtIGBZMrXGK+CunhMUlS2M8tMx7986ChTMK%20vnwq983bipbNon4SRv8zol4rjZ5tawaejR3q2A9KI0SO/IVvMpEsx3GqQcdxPJGTlq3rxV7Wzbm/%20U94Bqp7hgH8jHY7SKyo2DP4NoTk4Oj51B0cXO/eOLeal/cWwvecfn+1Zvz8P9H3vyWLcnFCFDFz9%2034VN0XLEtufL7MCYuJuNsDH+kVcAd0cGPf+zx6VHFDNWvFdV0rrgIOjg4viCaoVybhxBr1Ckz9Eu%201D0yUPnABejGLLgaL8XkwUJMrz9F1A3VyqxxF0+IbNpJrrLg88dNKg1U+se3cpaIRu1QUkYFbSbJ%20lGsvKSOcUH0hrSlp6jVQg50fzS19Y6XyqBr1iVF7mBIprB21z9ISlNZjizcHrf8a0u3yXDROib76%20XGeu/cb+jRokKf9T6dPtGnzujF0aJe6qC8DYidy94T4hNspJDPA4hfZUNntqjf4jm3RKHPtcnXDl%20t6Bs108lP88tWfspdg1RJzCLPmeQRrdWmoFbuwvNzxDxgxCaq/Qq2M0C4o7vYj+ojBOdhqQYhj44%20Xela1kmIZMQLf08gNMcXfTKG42fKnzfCp1Y+21EBfu8lzdrUV0onHcoqef6bgzfO3jp1/h5Ve6Y7%20BzftQWrAW3nibDIXE3ebnAgfYVRkOR8SUWKNuhy0NnYp2aIKM/QKFftE3V1br28xBOXS3xeXH94q%20XcX2v94Qt8FyEj/8fjk1Clxi10FVuZImMSoqWnGI9tyV/vH3Ub5vmqpvo096YpQsqVtUVknTPEbF%20X6v8vP/T0QKyHfDui5u5d7mPiwqnLVRQQI2eQcvgQh0hmgNDul1OHVanDrQ98kdUf0POzLLAasBE%20qAIJpa9ciMXEHfPSGTdm2k4tgwijWvdOuv6/Xp4Dhyc3SLzuhehOykPpoFwYkKbQLloiBhx5+LM9%20EJqDptOo8JsieDl4Kh1VXcEuuQEUtFvWKcfFQx/ZQYKCgol0FuTO8WVgstwoYFPiIv8+vIX3MvMQ%2064O1n9+2tnfaZuJu1FVnrp+EkQ+AbeNL1bAmpvtlcuJSImUWB22ibzEKmuKfFB0/2lbTHkxGTWGl%20n8hWvWiRhPKDm/Ln/t3YANAysGyvUirenbhDxiB3D2JfGjpR6w2A1TJ6EavO/tutWRsOKiRpTJ8G%20PZq7/MeVA/u3TaGpqcWkwYpRwfj0s2J7lrRBifELMlz+leLHTkTg8d1WtQbXp//abEDT7di6B0Jj%20MRrdCNX77YBLoW6LI/EyHXb5p9zxvstj57PWKLmWMnGuqnyWeZGLNp+i0yedBfIVSFmwGVRF0EWd%20FliCpldXG4oSa0jGsQcU9tC3qCQu0LGgWgu05rJUC1i73B0RHRkun4OZt3wDPSMN9M8rW0thj8oz%201vjUVW2YtTuonYGgsyvzEICIBelzfKlqliOjEHa20Xdl1iHVg0Lz4rHec+mmJeWHtsh5Qz3dLhYS%20O/Bm3IHIRaFoY/4nDxuIben6L6W3yJa9oK1XOXdJt/tVV4vVMoacr1P5ZXN+cdZKgsPeLZOu6K60%20JnGfYnhnRXKKzkd0h6gh8Xh3gm1jK7ZnS5tBHRTZvTxIu6LA2F0YYEGcIToFvX+zPt0O0Hq2UNpM%20Yg80JBn2RBKtcxPH/ivl3i/Q1i3m3FGoMAYJoqOawrXT8ZHhMYNkQ8QCQbmKoIuD+FJJXMDLhaV8%20I0KSZVjAzulmUGTHoWBBHh2qFZVkBRr0M9VaWrlnynFEHsQtH/3FBGvHzmbDcTDbIZ4oPn5l60u7%20piP4xJiI1PhIPE+AjAeVapr69U/K7ICt98/E3XrMDZ0xIiqKKN2pWsbQaYLvzEXdjmo2DTOCH5MR%20ESRc9ThtyQQ5kJfixHonLPlNIe4x3Ue6Dz+UTXQyfv1NdMm4E9WN3lBruf2Hvx5DfyUBQkR4GITs%203gFBSpuW9LG4WSnS7bLCd3JsxKAOHkhS39bJNELcXdTyU6x9+RtIkrt7NU9dtHvzwxLboM9ppBR0%20t23S3fn7kt4cdboS/vRowhUPY9O/rufMHlUoZ4qaO3QsqrtNUHOIWJBZVxF0aabqNSvlK2DhlHCD%20oIOa41P3mokg7kgqe9wJquU8zl2j3PzjWQ2qtWgZZUMbPMQb36/hi+PavXJDh5evaw/WLsG0YbTW%20h8TE3XrMDZ6RPiss/UNrJyaDg6hTB0Kdgs8ezfnvqOwZQ7OfG5H33t1Fy1+rOHXAkIlK1n1efugP%206apmpNvlcrCDiu4ZRXHiwiUvBI4bKvBU5jlrfoXFJMb0UlL70jmt+NFMp8BdOHGtCKncBgQef+3x%20ADbwy55cud7r+jbUUjBhUHslz63avGU2dD/tVqL1mG4XAVzSUXks8OMupW2K2eGFtH90n8V2EbEE%20ZBzdNzlYs7qeLZWkOzrjWjOpSbOAnbsLzTEXiDi6DoGjU4IOY9FsCGlyVTFTyctVdF9u9FSRSxB0%20ME7USwFBVy0N1NzwnaDYwEp3EtM9qSYBy26DhQAT92Ahb9i8DrVMrFMLC6JWtnO1Ya61OUI1m9zX%20/pI/98GSDV+DqVfmn6rMPV6288ei5a+Ax+fPm0T7Tmtz6WpVWY6CX/JQTI/LVS2E/PFppzEoRQ/u%20TnUsxT++V/jNiwHG6JJuB2snRRik58ClMrRh9ZHsEo+9eAJcSM0eXlpeOW+NUv8R0ojhniqvuYMw%20oF1KGPaBnnmhTzgInzVAYQvyFtLUc2D71Ormvah9KlS24lMwoVDnf9bAS3Uy1W1ysCCSXkQtAwEG%20tjxaMGmAU0DKgmS5Kk0Okg2VOb5uf3c7/UgUaRHVXVSlmSQvT4hxIUhIkyNC0XWIhgq+DqE5MuXu%20Rc3xEei7BTtBsf+blma/uGNaV1LWM0BgebjdEGDibrcz4k88tIsqLf/njy+dY5Aezn39pvLMTdWN%20Qzw5L19TuPS/VWV+VpZA5r4yR3kCGDtIqYCuM1j7moenNAR3D09UZM3FK98u+m6m3xFDLl+2+xc5%20nCrp5UF0tQxcKoOShTQ9zEW79Z6yT9efyC5UWBHS7Ro9YCcxJRCWJd3pwwEIKlAIsrqAIyPC6KbV%201Zx013BqqS5F9KgPygunlbZQVVXRDkpIYlKwauTCkSxXEXQQcbDz1344jIItNCOONLnYAIqDtNg5%20FZfXS1SuYZBs5MIhQ8c20BFdXKQmSJNDaI6doLRbkIgKo4JYSBEBzPlV+ReJBzW08FQQTxZPbRIC%20wSHuU6ZMCTvz8rKqESNGeLSZMWNGRkYGPsL3uXPnevSgxYYO1Gtv0snw221050vkWCuJOxQsGgXZ%20xaveyfnPlaV/fKN3jai1UvT9G3JU3EW3hm7tdu9rR5GcxPEv0D1VWLiqmYh29JCzl8bRHQdHNGrv%20PpaydvwbQ51B7f6pJU26B6U0oX9h22EUit8v+F0pxI5n7i3SY7UHhqS7NP5lb66sJqHdgx+WP+9V%20dDL92ih9cDy6QgEceRwNEXOLQyBx6wcmRg3BowzJR/GwogdJexs1hXY/tHwHFUdp96DR0qPQHDiA%20nUNorlK5/LAjBweRLAdBp/5B0IWfM8IYpWkoLcNC3wuCjiPIo1/Y3qUmEtLkaDmEnaByFymdyIL0%20uUbcpBnQ2HJY6dg1tm8DWYlfryu2DwkE/PxXHcjaTp06NWuWS28zd29g5EuWLHE/PnHixMmTJ+/e%20vRsf4fu4cePAuVVmWmzoEL32gazdpLFR7fqjbK1wXlWSbw13L932fcEX0+iKYvpem3zb22kPLU+5%2057OEKx9BqV36aWXeyfx5k2kzai1oULV3eEqjuMG3axkVojZQuieN/48UPmEVaN9d8PUzepeDC6Bs%2071o5KvaCGz16CKSCO3VIiTtt56Q37Fpoj3S7XDUeXKi6ovgEpFPjBJnwRqUXtBv0OSRAAzyRP3Am%20fyle57XxUVAZxIjuglizN7TV0gGi53M4fZrRu1WSt8yWT18BG5zfVrkr23OiKPBi/B4rC4lMOYTm%20tLUQYkd2XPQbQkVFupST+c5mF6oeRpJ8q5LfZ3p/tkSyHFIWWTNRODyzPbSVPYuaaz97e08W0Y6q%20uN2id8va/bBlCCEQBOI+derUrCxvFQbA7B955BF3EMHm3Rk/ePyePcqdtxYb6lmvvW1PresWVaVZ%20pkkBV+YcLXRl7ajAlXD5Q5HNu4XFp6DFdEzv0Uk3v5Z49VMR6S1oDMW/zM2ZOa58/29aAoPApvzA%20BmkZP/xvHoXaWlyFig0ATLruP2FRStq15NeP8z+arD1+7DEoXDBd2qN2e2SL7h6HH85W+j0FUmbL%20lbjz/lSt52rNvjy0XJHWelm7GIjiLdKDBcQdTcjldOA9sv2WlzVTcr9mn+m3FlrRt6UdHkrIuM7z%209TTD7BVAcUHrQv60W9P2YrET1J2jQ4GNHDnagqoIuugJCntVqRZag5Km5KV8BZcfzYiDoENojp2g%20kLKoMuXg6+4FFs1GzzL/b606KueCcHFcX6VPqmUx8EQWI2A1cUd622e6ffbs2SKnrnrNnz9fHJkz%20Z05VVdWECRPEj7CXllpsqFu99hafHu3TqdQyVaVK4z3tTrRbFnzxZGWB0lQFBB09L9yHR3e7NOXe%20+XFDnGdKGFQc3Z47+xafIhDsrYTARvmT1PNKj1NojzlULNGYKfH6F6lmBt1Pc2ffCty0LAGsHdxd%20WsYO8JxuhwGVyjTxq6SMmIWJu5bz4m7z2XplTypa3qh6GGn02Y8Qd+xrpHJ5jR50mdENphoLtPVp%20pdQnwTbHrAJWy3iGHGIn2TcXtavp9lBd58hAY5p0/25rlix3gylE1yH3ai3g39Vl0AX/fu8nhWgK%20PyJgKjrHj2i+K6oo4oaWqlNAyiE0R/ocQhfVSmFmzU5QAxEO0NXbq4/uOan8r7/h/EahWLg9QBBq%204XDriDvy6GPHjvXJ2mH27LPPejwT8+bNw/G2bdvCD95Mm+bUaSxdulTaa7GhzvXa2/YSiWzZMyL9%20bM2pqkpT1TLFP31YtkupXRN38UQQdC/IxA26Lfmvb6hKwUAEglo0NKFOPZRsXFDw+ePySHjdZo50%20e615QWWUfPNrEfVbyxWX71+PJxXFP33gHQPU9qGnPu6Su2mhSdXYw6SIe2DEPVZuV0HmrLoG3bXm%207Gla6NcbTx48rTyd+HOv+pqGuRlBE9+6Xpw8bGpKGxcMbfSokVni0qJtzE2N0D8MbTKKbt4Nerpd%20YALRhXyogj4DS8/26MXvOAopQqEBjk4z6KKKohhLnybhR9mVWbWJU1Q0P6M1d9mWDYIOdo4kusei%205sHdCWqTCwb70b/doqTPBp+T5rGjgk2i5TAMRMA64j5+/HjBkmWm3OMyhJAG7Fz16caNG8WR3r2d%20yun09HTxfu1ap5xXiw11q9feQNzNcGXNFtXK0wcLl/5Hxg+JDjaM+lwOssjoQQ0RPLVELZrcN/6a%20995dZTtWKcerqoq++1/Bp1OpZeJVj0OB43OWmmSADlNJN72K+zG6qMJF/0aZ/NJtK9xXCvVRzsyx%20qKYvP4pqPzDuwpu9YEKlMk2qrw3iE1Wwdk66+0SJGqDRKVW3D+1Ul1JbXa5g3Lc1KblNpCx6/fi0%20pzqZrs0SE2MjfA4RBn1aKXoeJu4eQdt3qpgyYJ+bBzQir9HsTPFyFDXfSUsKYizu0/KKnRlx/PjN%20WZqI4/L+nCbdwbYlpVZl0JEgR+4cX6qaibA/0xSzlUqArjHyWmu2/WjhWz8qzy4A418vaFxr0aht%20C7eOuAtkwdpnzqy2yB2YtEjJv/iiuoh1Xp7zPr5Xr17yJIG70xOmxSYQe5tfHJS4oxog1UsYGHnh%20ty/XqXA+7A6Ljou/9AGtzsPCIIJHh+rwVJe/Lyg8n/f+PdnPX57/4f1579+d9WT/ou8V7ROcY59r%20ZEvlpGudLvTtwpPqJd/8akyPK+hScFoBVM6Lo/HIouTXj0o3L8W2gbwP7oX6qOLoDmmJRHvCn1xu%20flR4IHtaif2MZ154uirzYf7B1ixNEeVzRUifGIK1y4L3QB6qAJ9DvBhQycqmQwXmVW5Zd0ApFd9L%20T6VCqpZBxQ+z9TyBgBmssTR1ij3H6BwZYCSqvZvCGzLiUz53CM3pdkYcx0mB7gWfgrhTebpKqo4T%20J5g9SLbQkUOdolJMYScokuiCptMlwF4QdxtWZQkQauuHo9HSf749iBYQcuqbL2jstUqf9THyjCYi%20YB1xT01NhTbdC2vHKrHTFN+HDx8+cqSH9uxeYFi1iqRsq7HTYkOH6rU38Sxpcx3RuENk43OkLRpn%20ahunwwokG3prOSB+2H2o9KJjfJ06yNCn3PlRzLlXqUZVZh9GIrlsx49VZS67GxNGPYZ9rrqmqFHG%204ZEJo/+ZcNU/0fqUrqvi5D5sEij4+tn8jx5CoZ6y7Svpp5EteiTd+DJ4vxcoXNLtqdWW4tYIZlMi%20keeKkN5BQ+G277dnSxuIZBJjtKauPXqGFqVVPeXGaf1+UzoxgbTtPKZU2dOokxEBo2AOfaTAnZhU%2053HXiaIV5JK4pJPSE9fnLyAS3u5Cc5RkET1BVTs+cVyInQRNl86lth5HTuQpe9aFiIXGAOIu7sxR%20MBHs/OnR6lIt4OUQt2jc/+BzdWzgjgC6rb3w7UH6JATS9sDv9BjqEELAOuKO+i1Cm17da+HChaIE%20pMeSMjbH9JCnl/UxR3cdLic1g7gjyyv9R7XpG9P3Gj/WiEahSAaDWUZ1uNDLcNRrTxwzPabXn/yY%20ooYNiel5Rcqd86LPGaRlXbH9xibf+mZYnA9lkVECdxESS2W0nBphQ0UyoLPDOtfVPrY6S8qTqKAl%20cM/Sw++Zyv0Awk4/k3DV/qL1SX4jmXvtHmqw5eJNym5yVM+klYLEqpE+B2MWnT4pDjgo2oKqCDpU%20N8ISMmg6RGa78SY+Wvnvjz2daOYldoKqJCsQsbx0Xfu0+Eg57we/OHv9qOq61OATZJ+lIdeOMvan%20yE3XqJ71hhvxN8Q+a+RIfCJgHXH3Gco999wDG2hpBgwY4NPYbgbNPL2sD5JuEi0/vBXdiwyMAe2W%20yg86dxrALbacBuI8KqM/apYn3/5uTI/L60S6ZHwj6rWMu/CvKEeDUoaBTFGTxkJflHjd88n/935M%20n6tVcMllRmWcD5v4yyZpWbixxJ1Wk6TFarREUqtsoBKGOFUu2e89qSrQaP4b+WwzOjFR4t69me6O%20nr2aK0PQHLSkTHnKX6suAPfF/rgrh1aBLCiphI5FRdDBy8HRcfy9n5QGmXAlW4GqaixKobkozCIn%20RS4c1ByEG0JzlWQFR7AT1GNNUrD2a/soRQY3ZebPW6MURKrlp8/K5S/flvXI/D30T/elXdOvPpfr%20P1p5Emwxl12IO/ooiRKQDz74oC2A0RlEU08vnT4MMEcbJrTJlI6MTLpXVdJ0O9h2ZKtzA484slmX%20hNFP1H3055QJc5KufzHpL7MgpEm55/O4S+6qw5I9N3wjm3ZKuOLhtMnfQfcfP/RudFbCE4noLsPi%20Rz6Y/H/vJd34P41ZeTg+RIq4NwlYKoM2QFERznYx0FTkFnHJPw+/HMdySz88m63ExwMyUlAFMvBf%20IngAP6P3TqgLaYhb6uT3TKU1ox9ho/oN1VPVHrWMx65DoOC3v7sdqdOC0grarD46Igwbl5FZV20S%20lbz8wGml+xXODjLl4hyppCng3xCag6a710zERzioV8qCfDx9DvDVxpNfk46/hl9s7FCFAG7kZq86%20gi96/OKOaeP7uZTiYdxqCQJ2Ie7LljmrYaCeTNiZlzwBeD9ixAjv50NLkl6LDZ1Fl32mp1dQriGa%20dC8xTuYO1o6mS3JFsYGl292RgUA/qv2AqLb9UE0lKLiF0KTQGkH3Hzvw5vjh92EPQOK1z8aed52X%20so8el+aScU+JCXz5nHT3iSFYu9yTivuc0YHtSVVN14OktDccNLhB6R+HC2QOGCXG/RPU9iT7Wc24%20tfCJv3kGAEeV88ZcOIidoBCa44tODZW5EL1gyL8WH6BbdUsrnPvFkXenQ0RJROTIQaDpccHC0XXo%20hvPVBA5DwN1VrYgCQeCWAY0bJCuPRuf+euzz35S+v4F45rFeECivrJq/4eS9c3Yi3U7NhpyThg2p%20DF3tRMAuxN0n+klJzpJn69evl8Yo+k4HarEJxN5nkHYwQG2Z8ESnaraqKKd00+LAo6rMPV70/RvS%20D3QsEKAH7pY9BAsBdCVEVWYxO+o0g4oFHkkzsj+VC8u44/nt1izK7a7r17BBUqB7guksrsTd4Iw7%201cn4kW4XcfZooZSt3GjCM4HAr2GfHrANVFV3BUOQU8dOUKTPkUSnHlCqRewEhQGYuvyIVnDadVzp%20nnNt7wZCqYLnJxe2d9mjAgoOHQsKtrgXNUfu3JquQwj71gEuTPHTdSc+WsuaGZ9XjZ8GuHgALyj7%20J2uP09ZXyGriJuqvrufCzzl4WGgiEDLEvXt3Z9t2WbUdrF28l5XdtdjQ06TXPlROseFJ9+JVb9ep%20dG6KQq2S2EG3hwoUhsQJxTCKTy/dcvrz9SeQ9thBamsY4t96J0dylNI9jY1It2MJLhn3M3UnrHlB%20Mj575ZGJH+y45e1tN7yx5ekF+3GaaMkFa8LwPsvxvNIPf1YeWEGSjtrtxgaGPYXJsc4bsPziCuTI%20DfQfoMBdRHJOo/jkuLMRllRsOWJkhAYuVhQ1x5dK5YL7LmwDBXF/+LM9dDp0GhKPI/CdFnihTYJo%20UXNkwZEjV3W4bNcw/soe9UDc0RYUBN29qDnS7UHvOtSpScKkES2kKA5L/nLDyWcX7d970kXAY+C5%20qG2ucAnhYdTHa49Pnb8Hj2sAb46r7LBt/bgnR7VBr6XahgyvlyJgF+K+ePHiKteXjBKH8Sl+HDNm%20DL5DCo8CNXiDVk3CZtiwYdJYiw1dv177kLh6KHFHocDKbBdhnN4loPJg8c8OwMUr9sK/hrnuJdXr%20MITsoSh98bvMW9/Z9t9vM99dfRT1QKAyfOKrfX+bt/OLDSfPlkEPoQU5QzW2FqRw6lJYhvRkNRUd%20sKtpX+9bvj0Lqno8Q4DOAHQQp+let1Yypobh0zkuHqmCiAwPQ7rd5xA/DHoQLYqBKe2juaW0yavf%20GXesiO5qNTBCn1h57OaLjOZTC/YhU64qp4jsuPhyJ+hiInijHWR7t3I+SQC3rk+eogiCjow48uWq%20oooR4Q4tuwwbOdRxfZUthnaudI6zP2lES1qRZvOhArBMcE0pA/N5OthAInA0pxQ3fvN/O/nyssyH%20Pt2NhzbPLTmAfy7u90J4NDq2b8N//ql10O/f+PQFHYEw0GJVEFJf7v6RUeFqmcLdBnx93Lhx7jGA%20yrdp00Yc92kDubwoOilW59M+kCWLJZgHo5fYcl/7C/qSCoO4IRMCqQBT8PnjJb99KVxF1G+dcven%20gWASKmNR2BgKTvqA2z3y1vVibx3YJBT/jL656siys4pJkMiRXV0amfl3jpBUvn/eLjEW/2NmXd/B%20Pz/aR72y4tCqXTle7NGw845BTWIig5yewN0FvZBu7N9omNHpdgHCr3tzcZ8p3qO4+4yr1f2ntWNL%20LdHo/t2fnI8LOjdJ+MfIlv75wahf9uS+tMwZIe70nv2zMRHKeMCn3X8fUXrl/Z8dxVhQOIVuygRl%20F+IlMGxUJZdOwOahcsGPIND/GZshaTScIwmK45jiqauc/3HEKPjBp3Cu5a8BxVMMv39o814tFR2R%203/BaNhAKH6CnSgbHRoUP6pA2+JxUugvZspBCZSLICPecKNp9ogjUHO9pE6XqloC/YJd1S7+8W3p0%20sP+UhQrIoR6nT4Yc5H9puvBFGXgUi1QNmT59umTt+EiLDfWg115XwEE0dlHLrJ/vdyTlh/6QrB1O%20Ygfe5LerEBqIAm3IqXtn7VgO/vI++sVeqiIIlTUaWwtSrBqKbfznFu+hVKEJRTNg+eDnY95ZOyaF%20wAmPR2i22IxIvPtE8oxeSBDJmMTaEUb35olyUz9OsVELdxG4ky2wfoCJCOUosBZ6HWr3hoS3qn+Q%20GAsqKdqC0nQ4jkPcgiGiFDqdRSphVG2DhdAcfB1Cc5r8BimH0BybQSFlUUULyo5RPll7UWnlzOWH%205F2QcHLn4GahxdoRM3YnP/Gn1v3bugjxISlcvPnU5E92z1h84LutWSpar/381khLCGDe+vHI3R/u%20QFr9tR8OAx/Qd5+sHX8u7rio6Ss3OMp0MmuvkReGf4sKJeKOFaLxKpg6Ks/gPb6jFeukSeqq1Vps%20KFh67f0D2uJRMb2ulIIWSGVKNzkeMvjxKl75thwV2bRLTI8r/HASWkNQ6WzWikOFpS5VHVrUjUWT%20C7SmRwk/msGtqKxCBnHfmS1oIfQ6nKM0R2ySYtgWSaqWMbV/Kqjkos3KxnScnYcubfnerZ3QKQay%20BLrXFhzuia/2onB4UM4OWDskBHJqZMGR9DUvElyZlBkbUlsG+gdaCNKPCu50vbi160oqYHq/6YWC%20BQRdxcLhDUJzPMRAqRb6Ea3roiLoMgBViZXrz2sIqo2Dqv410JcLoTmuJdXJAo8HR/dPygJFxJT5%20e1bvdnlGdNuFTc5vm2zeJWGeZ3Tgmji46d0XN3PfY43TCpJ65wc7IH//dsvprMLaWxx229FCQHH7%20u9sggAFZ1wIF/pqhdS6wnTm+/f3Dmg9ol0I3FZh3QtlzCCEQHKlMCAEUSKhBlMog7MKvny3+9SMR%20P8osokS63rWU7f45752JclTi2OeiOw3R6yS07JEMw4NsGjP+jF7Vs16f1so/V6RJ5vx6HJ10pFmj%20lGhsGJL5ZpsvObe4YuL7zvIX+Jfw1s0djQr49ZWHvz/buR0FhtEcxCjPKj+TP90tbwyap8X847KW%20cl8mLJHvf+X7Q1RCDVn5QyNbYnOkSfF4dIvtELSCG2TNj17eCj1HTY0BtWve/tG5p6VDo/ipl7cK%20cDqIQJDJFk5wnT93TaDVWsHFQbuFQ5D4u4c0/WFHDjg6SqNQHcsZAfp+oU2HLkUms2GJ42K4qHgo%20FwgqL5LoSE/SRkLiBgCu/u+ipgaWR9QO7KZDBV9vPKnaLoy7LJTzAy3T7seelkheYA/l8u3ZXh6y%20QWGFMvDYUhmu1Hm252qMiQplu37anYObNJ/1tVLiIpHvwBc294s3/t0WGhM3e7EHAj6lMkzcTTxR%20wSXuFUe25cy6Ti4v+ba3Ips7K/NoXHPu7FvK9/8mjKPa9E266RWNA0PUDDtQIa6gwY8/r+GlXTyz%20zy83nvyItA+8qH0qkmchsXCUYcGGThGqu1o3kCUgCw4Fi/BgHiB0Fkw0+dKWXZsmuIf99uqjyPbJ%2045DdQ5yN27BAFqhxLO4coIjYdEipyRgZEfbgsBZdPMWp0adGszOlCZWq4S+Pb596tpCLRg8qM+QL%20kSkUB4d1rnvj+eoktLtbUGR38oHA3vvpKLTjl3RMw++OHAWhyP+WO1XvEJpLYg1hOhQFwkz0EpJD%20BEHHFCrNOrg+bjPcJS7+LdyQUdh18P2ObPdtuCCyN13QGG3LDJnFJk4gXVuxLQs55uriSYyJAHcf%203CGV1oO3SfCGhFFZVbV6dy4ou5eN17g+2zeMa1M/DvVhWtaLDfDX05Cw2YndEGDiHswzElzijpXn%20vXtn2a6fBATRXUckXvO0djhK1s0v+OIJaQ/WDu6ufXjIWSJHu2qn8hQ7Lir8ziHNaG1s9xWpNh1O%20GNT0gowQyJ8hDSw78J3fNuXOwU2NOlnILE5f5MyGIrX8zytbG+WZ+rl7zo6sAufDd2yr9VKhZcHv%20p2hbyobJ0VDU0MJ8ZoS392QRWPsRIkaChPruIc0sYO1iOY99sRdb38T72wY2uahDaiDLxIZjbDsW%20Hh4c3oL+RiCT7V6jEAdf/f4wiLUq7Q35ilSwIHOPYhrCZ7/Wyb/sdd4t046eYP8o6iII+tOj29BM%20OT5Ckh51WnxqygNZeCBjkXBdtTMblN1j21SUfUTJ9kD823ksHoWt3Z+HOyhouKuLE5rDq3o6NhLU%20mBfuSMHX8UULrtPVpcVHYicDNOtUzFZjls8LMRYBn8Q9xDTuxqJT473F9nMU0BQvdGKqOL5b65Ir%20K4pWvCaNY7pfVrNZO9KKlLVDi/zI5a28s3aAg0Qgqi9LlNBKMCQKorkI3FONzPlZoHFfuOmUZO1I%20Y1/RvZ6XSxqlGP7UQzE4llv63+8Oys5TWn8X9NiJ7bCUtYNcQq9iGWtHsPS6/S2wFqrIYUvWDlUV%20LQQJ8ckL32RiM6hKUC63jYotoR7B69hIeUISGRkmSiXiO62ZeKaiSzsIzVHXRaVvwUdIwNuTtUMd%20ATUztrajJqk7a4dcBHs6azBrx3mE5AO/dFgmihqN6dPAY5NddG7651f7aPMpPb9kNrLFbwf2sWC/%20KSoRoU6XR9Z+Xptk3JFi+w2UUczabXTyQjkUJu6hfPZ8xR7V4cLIZl2lVf68yb5GOD8Ha6/MUfrF%20xA66TePAUDRDI3opBkD8IAT3XdJcIy244TylIDc2HlW3K85WsLiUlDGo+5JYILJKUKSI9ygxAaJs%20+MKXkA6USLfL6aqb6JreDSDwkJ/uO1n8v2WHDI9KOFy06RTUVvTmDaJtsHZ6P2PS1NQtbVD624H8%208gp1wV+PMYCj06S4sKGbR8GeqUAZ9UMEL4emhTqUIhn8BlHBDKi22NaJ291+bZQdI1sOFUy5rNWZ%20tqCt3AU22CcaEpLf7DO/+9iOiYctqB/ijjAYG25C7rm4GTQSFlwDdpgC6Q/cVz9+ZWvsiwCVl723%20RGw7jxU+/uVeWZTWDgHrimFjZv5/vj2I51HYfe5RyN6uQRwKv6IgzF1DmtHNG7pmYWNGwCMCTNxr%20+IURe95YucKKE3sqjrg05fa4+MqsQ0UrXpcfxV10S0R6i5oKE2rIIIkrV4eH+MiONNGch8a/YboN%20Dt587kYKOpKUuDfWvFKNYTdLU0TkhkOBdOaps21rkADWWH4esmy6BXD9gTy5fVPjorSY4aHNB784%209f3CHrVKcC1Zv2UZ7QVwGYsYsHFQlXSHhgFpcrk9VC4NO1AFcac3n7SeTEm5yw2AbO2pusW94fyG%20+I0AU0HvIYob+DfQAEEHg8fzh7ho578e3O4i8xoS7NzjZYAdmW+sPHzXhzuAm3sBxOiIMGj6kX7+%20+/AW7s1QtVxXNcAGVyPun1EjBV0vUIuGrggNJWjSxP6LRfcXBPzI/D3/WnwAZYLcA0ZDXDzow3bq%20x65sjcKvkPXbf1EcYcghwMQ95E6ZvoBR0D2iUXs5pmjlmz7HF377srQJT24QN+h2n0NC1AD12ueR%20DaZIGINb6K07AZpCC6JBV21nNFASBwJcGSGyYsZG69I/NavEWOeyZA3cYpeb9n+KqIVMqxCi9Arq%20YBgVG26EII9R8Q8U1blBwz7OwGNA2ttdktGliVIuHUl3OQuMQdCRXIeghWbKqRNZYzG/pIK2FO3b%202qVDEDaGIneOL1WBS1Bw/Ebg98j7MyuXFqqZHlLUgSNjgQfA+ODHu1ecraREZ0TC9S/9G826oQM2%20odaeLLt3zAd1SJ3+57b4zaVmuOOlFbosOGv+TXEirxT/LCa8vx0B48GduxNIYtBI68Vx7cb1dZQZ%209W8WHsUIaEGAibsWlELbJu7Cv8oFlG7+pmznai/rKdnwFS367mDtES45ktDGgkS/7Ugh6rXLA8iM%20gm341/OPJt1X7sw2PNNsIOaHsxX5CjJhqJNooHO4Mk/mjk2ftKDeoPapuiK/c1BTqG/lkI/WHqe1%20GnW5osY/7c5FE64dx5RKGngUcO/FzQwvhSlKpqjiBGVHbURUWREdPeUrJV7J86GwiTxO79ko3Req%20cZjJN3hPdTKNU2Lci5pjCL78S5ZTufzvnrQlfp8Rawae6Q+wDw8uVD108CQBdaimjXIkXId2qhv0%20rr3WoKF9FvyZvWVAY6hH6JB3VquL8Gp3aIFlblH5ez8f/du8XXigirtZ1YzY5oQ7NCGJCblGWhag%20x1OYgQATdzNQtZfP6C7Dolr3kTEVLv1PdfFB1164+AX5KTakxvQeba/FGBQNNhX9b4WzCJ1wieIq%20fifGoMSgYyH/NShM490czlGy4E0MFbiLWClxP5hlZF8qFBKRcID2tdCZ00qMjcAplgoNuEJpHVSB%208BtiaNnxoB+lDKHml06QaXv0ita06r8u/6KLEEQXqiQ6DoKgI1lOSz3CMx7WiwS5itajeIWcF+HJ%20Gx6EJwg6toHSAos4Al4OHQt2gkpFByXuvVu5pNt1LcqjMd2lhxo4ZvfZDTxg6kFsQaZ3a/gUt4V4%20xjJrfAfUkIVaydgZa5g3JKdRZ4kuCg003O9Lg75qlHf8/LcT987dSbfWyKjQOBYbMx67ohXu0LQ/%20/Qv6ojiAGoAAE/cacBJ9LyGWJN0rju0q/OZFj2MKPn+8qjBbfhQ/4n7frkPQAn+OZy0/JIuTYAV4%20nN2TcB0/1kRpEB6d07oifngzbwjNuGuX8muPp3ldJat98HQJNNbax3q3pCTbvxKHKOKOquF0lv8t%20P0SVJNpDRZ3mf3y6W7W1DvdvUDNrIW0g6EjW4ktF0M+UanFozWXPIxESZC1iJyjsqXylZbqCNn06%20j/eoEi2XQxvHgqCfaQvqYScocuc0fb4ps0B6oAly7Sh5sUTfmfakIhMV0xvi3zwn0MJhCzKtTYTS%20sdiGCBEIdjWg0pF5U9ckz9igjK26dEWvrDiEvxj2WSMEPKDsKICjqhWGDfFXdq/3wph2aG5K6yDZ%20J3KOpMYjwMS9xp9ixwLROTX2fKUZU/HKt0t++1K18sIF08v2/CoPxg+9m4rjaxJMUMjsPK7UGEZZ%20ZWwgC3CByL5Q5mTbpLvrzlSDBe7AEMyPKv4PGiRz/3lPrnxIDc6H4t/+nS+USrxjkEvdepSGoKll%20n25RgByVQ/615MBR15o5V/duACU92qNSDyDZELEIWTk9jkrn4OiCptPj0gxvaC1FdBUVZoCX7nHE%20exDxge1SUbFEtTfj8u5K4zA/bk6QTpZbLZFNNIOg0JuBDQc87PPzeS6sN8AzFtoZAAHgHvK5azOw%20DdH6YEJ9RhTHxD5OuQrUUkQzDVOrtWpEDH9t/vHZHgh4aHIHY7Ej6K8DGs8c3+HaPg3MbgehMVQ2%20q50IMHGvLec9fvh9tDgMkuulf3wrF1/w5VPFv8yTP0Z3Hho78OYaCQ02GEGXLJeGlklGlVWmSXds%20VTxuQjHEwM/IkWwilTF6Z6oIzzXpboxaBvVk5NrRNCoQHAZkpOABi/SAZwIzFh8Ah/bpE3KOT9Ye%20f/DjXTQYjIJKCrvuFv5+6vZ3t6sy6CDoQsSiqhPqsS8PXEmCDi5Ok98o0oINGODokLKo4sRVh+2h%207hVLejZPkncRqMu519N2Oi9Lpq0fDU+3i3mpWgYlFMuNezjj81T6YYCCj88u2q96xoLmX2hxhTtJ%20PxzyECCAfZxj+yoVdfHL8sr3zna5wcIH1YFfXpZ58LTLH67k2Ej89qEy/ZBz0sL4mUqwzg3PexYB%20Ju615loIj4y//CG62vx5kwoXzCj+8d2cl68tWfup/CiifpuEqx6rkbiAT2ODkVxah0bxaHdq1EpB%20tqjCWwsXNGpq7X5cui+Z03FdpZbRHlt1lmDM68m+zP5t/Uy3S/94wALGQKeDagXFIuQRZLtlIyEc%203H60EBT8njk757vVorm8W/pDl7b4dW8ehuALD9apk+pWJHYzg5pDXEFtQNAhNEctOVWpFtjgI107%20QaHZ6NmC1pbRl9JG0UwZmEldY6ApQi9bMQtYu5cu8YFfQgF6wPMHiNo3H1K0Q9hkiW4PGguSBjh7%20zR6O3yCwYbnGNXtzg9UNA/e3Ty/cT6sDIyo8QhvVsx5umFV7Qmr2SeHV2RwBJu42P0FGhhfV9ryE%20UY9Tj8W/zC1c8p+K47vkwfC0ZoljpodFKw1BjYwgqL6wpYySM1QUnmgcaxcrG9FFefL77dbT7iUI%20ggpAHSjvpegctS8TzKkx3JyUclclrvxbPmixHIj0tt97iOnseEZ/9bkuTddxUwdqjvu6T9Ydv/vD%20naDy2AkKSczED3ZM+3ofigWpgj+ncfzDI1uKfGH82ark9AE6eDn4NwRU0JnQukOwBwuH0Pzp0W1k%20il06xyijasnRbRu6dv6hLBJVG9MbAP/OYHWjXJLupGylsbME6A1lecDaZQdZeMNmCWxJNHzDboBx%20hu5w6E86N1Ga6YK4010Z1qwLermp8/duOazcm2HeSzqloX3v1ec2QPkta8LgWRgBLQjw5agFpZpj%20E9PryvhLH6huPRH1Wyfd+HJEg7Y1Z8FnV4Lijy9951JGBqxd1Q0k8FVDMiGTiHjyb0jBwcCjkh5c%20eqaao5PBXIZn3GlBQz/U7WInKNTkKvLavK669AdS+1BSzf/tpBTaIg2MYnDupwB1JB65rFWnM2xD%20tBYCFwc7V6XloGBB+hw7QT1ycb0dA/ReCbS2DEQIKp29F2+qdLt/BR+1RIstB9Jsw0F9zwS0+A/c%20BiX/X3T9uwG+/tiVrdwvnsDnqs0eIDpKjVcUR9hLAG2SZYDgPgENleiuEsjZ0fP4pv6N0VDJsjB4%20IkZAIwJM3DUCVXPMYs8fn3TzaxF1m6uWFDvgLykT59bIJqnIIL64LJNqaKGQgU7GjJNKH/varaH3%20IfMF7oAU//OiI5060Oyi8gD/AeMpAa27hw1tmIL+i5UnEcQUO0EhNKethfAp6khC9wLWDrkLFZfT%20ouYar4RGKTFIEqNMOyo30yHg5eDuIO7mcVyNEVIzlL+gSXeIEDQ6+Y0Ikyj71zhcuxnU8/JhBVqo%20bjuqlMPX7sQ8S5QCVDXZxYMaKGS4OrvhmOM3CPXdpVtcDODuhs/i0SFqqv576UFa/QqVBqaNam3S%20PwhrFsWz1GwEmLjX7PPreXVRrXun3PdF8m1vob8S+Hrin59MufvT+GH31sheS9CrvLQsk+ZNsc0I%20e1JNOvGDz0mVmwJBDVUbGU2aVKPbQ6TGi3+tpjROZJRaBlVZlv6hbBvF83RoUcDC75u76/o3tqgy%206HjCLoqxvP/zMcrsT+Y7e06p6P6F7Z3XAEQvaJrjhY2BAeOG4cHhLZ67pi161/tdpl0jegaa9SH1%2013/11KHdfS5sqqY1l8zTyYip/dbzGIiSR1eoLE53LMAGZdpVWyPMjqFW+ceVQBVleOyDGyezEUAB%20GdSVorOgVgHqPPK9mdnIs/9AEAgOcZ8yZUrYmZcq9FOnTk2cOLFu3br4KCMj49VXX1UZjBgxQgxU%20vVRmM2bMwHDhZO7cuT4B0mvv02FIGEQ27x435A7w9ejuIyGSCYmY/QgSxR8pYf1Tj3qmbjNCzpUm%203Zdvy/YjZpOGuEhl0pz7As2Yi6pl9rvWZ3CfTuwEdRdhI0GOrkO0HbpIt6/bnysoOAyoN5rtpu/B%20BpDPwxG8oeoUHDlT0bwlGpWjac5L17W77cImF3dMgwAGuhfc2uE9jj85qs2s6zug5jTVdZgBmhk+%206T0Gzj46DPic5ReSmD+nUbzZUgHabFKXEN/nQgIxQIF/escIVyBzqp3EgfjnsR4RwG8ovZHDjdPG%20zHzzsIJzFJCh/nFjhurA5s3InhkBQxAIAnEHO581a5Z79DgOXo6PsrKy8Onu3bvvuOMOUHxquWuX%20so2yuvWD+k+ePBnDhZNx48aBl3sBS6+9IbizE2sQwJNuWq1iSMe0a3o3MHtqJN3lFMgZqzosmj27%20F/9UKmNqxr0VaWu672whQkAhugupInz4sz1Cg66SuLjTOEHcJSlXFRe/4fyGINzg6KqSLLCH0Bx1%20IVQ7REUYkKELh/h+UfvUmy9ojC2n0L1ATIX3yMS3CuUumOgNRLm7Fpk7Je592wRawMfn1Y5TFnm2%20+D2S/btIgwWfY80wKCipeGbhftrtCxfG5EtbQj5hxnTsU4UANqpSsftbq47kFzvu0g1/4bESGmlR%20t3gSS+vKGz4jO2QEjEIgCMR96tSpgpqrXrNnz167dq3q4NNPP71x40Z5UNBxLy/k193vCsDj9+zZ%2043GUXnujcGc/FiDw9e+nsLdMTgS17l9JAW/zAkDRCSowsEnSHcXOSsudSs7kuEjzik+DhdOyiYIs%20Ikf+wjeZoqI5Jeg4LnXnKqau4uWAFJIVuAIvF9tAIV2gJ1FsEgVHBxd0P7m2Up+bd+25ez6fkO8f%20dynl8D3GgJMlb7Rg4MdWYL1LA2un5yu4SXesHQVk/iClRRolR+OZTNemSs0TvQtke10IoNoVbpjl%20EPxxeJPUadXlyosxnsH+99uDpeWV0gadXE19EmtU5OyHEQACVhN3pLc9ptsRymuvvYbvaWlpGzZs%20qKqqGjNmjDhDH330kXgjGfz06dNhQF/yXM6fP1+8nzNnDgwmTJggfsRdgcfzrdeeL5pQQQDFH+f+%20ekxGC/HGhMGGlWz3CcJgUpkYlQRVHfh8DjfDwO90O7i1e6YW/1CfWrAPQnOVXgWW0L3QDanYXVpU%20Wgm5v5SY0x2i4NOCt+GNqjYiWDjNvfVu5cz+CtEL0mNmV2Ux4yxY7xOPKSSMOAXeufsve5QNrBAt%20mHd3R3Ggahn82loPkZgRxYv++dVe+mvSrkHcw5e1NKo6Z7DWFXLz4g8CBI0ybJwXpGAMXAX+Gv/3%20u0z6Nwq69ruHNDNwCnbFCJiKgHXEHUqYsWPHVsfa8anIpoNqd+/eHW/uuususfJ169aJN4cOHRJv%20+vfvXx0o8+Y52n+2bdsWc+HNtGnThOXSpUs9DtFrb+rJYOdGIYCnq++uPiq9oVsKlA+QDRjl36cf%20ZPepznvFDg+PmHw6MdbAdWeqB4E7pCzu+U4cxE5QVGsBTafxoBTD1iOOGiC4LYGN/MhjvZd9p4pF%20OXOYyTdyCAg6vpDXVGXK954sov9c6T5LY5Gp8d6ozMM7caef9m3t4cGFGVjhvJ8Vy9Q5mlOKyq1m%20zOLdJ6ghyj6WVSjFRXA78fBlrcyW+Fu/0pCYEYJG+pQDKRj01jUkclR6/e93B+lun8u712NduyHY%20shPLELCOyowfP16wZJkFp4tMT08XGfSnnnpKHM/NdaZe2rRpI45s3rxZvMnMzBR7T8HOqZBGvu/d%20u7ewhFvx3l2Eg4N67S07KzxRgAigIgQKikknYO2QrwToU+/wQR2UdoDfa9gUqNe/XvvD2c7iKhh4%20Il/Jfws/SJNjJyiE5viinkHlBRcHTad5d1nFDx/VT1JuAyAZRwdZJMVpjfz9p4pghnLmaAsKgg4b%20VfBCm646uIZUQYFBrdW66D3R7va0hhIazeCOyKNPCLtPFZSJj1BVo18bi1TduK+mc1GRfeBr1+IB%20lQfp0zkMQZ1+bFmOiuDu9lrwM8Xm5gGNaYe41344THtg+T0lbs/oPgpsQB/bx/RdT35HywMZAY8I%20WEfcxfRg7TNnzvR5MiBJf+yxx4TZddddJ96sX79evIHeRqTncScwePBgyb/z8pwtPHr16iWnAHev%20bjq99j7DNtuAViI3e67Q9Y+2R7QII2QVHkXPZi8QOx3lP36IQ37abakGAFlw5MghN5cpcKoBwIZd%20lcRFZs0lUxf4yBse8GbaFhSyFgCLJLq7ZAUadBB0bOuUCCPjLt7DiXb+TYl7n7M6GbPPWo30j5si%200StKvL7Z4vn5z/c7sqXNRR1Soy2krVRM/8seH0J8A89RTlH5s4v2q/otoJSQqk6/gTOyK40INEiK%20ppXdUc/39R9cqkhp9EPNZi4/RGsVnNcmmerp/XDIQxiBoCBgHXFPTU2F7lwLa0cRGGhdRI4cRH/A%20gAECGrkzle5txftbb71VC3arVq3SYiZt9Nrrcq7XGOVmb5i95cbZW2i5A71OaoM9FNVIt8uVdmqc%204LGWiAVQII/oknQPWC1DpeEyfmTK0XIIaXLVp6hljhw5Pn3vJ6fQn0plMFwIXeRL3tuAi1NuDYIO%20ao4kOjLlKs4NYJFEr25HF82gaylmojojyIodOdsuCmVj+1gl27DgwgjKFEM7Kc9/sDnYvfkU9mVu%20PqRInnDbaWWcaEcqdh7jlVtcYc0WVTx8wFZUumqo6aDaovecVoLAc6kQwPaMq8+tLw/iT9ZbAWxU%20fX3lYZrQ6dos8S7WtfM1F5oIWEfcUb9F6M61v7BR9cEHH5T2gspD+iJ2r65cuRIGOILjQSfZUO+4%20v7Sv1Kflh78cqzojv0TWQdYG8TmqFhq899NRKVTFc+4bXDtcWgzIoA4K+wE/2Hu2MKKXMJAg98ha%20QM3vm7sTX5SgwxhFWsQQ2iyGbicVGXdIhyHulPOCgqsINwg6KMvtFzbBd1V4sEQSXe8WPVoR8uDp%20kuIyZXYtZ2Et2aSIdDv3Q9ECmhcbYEjVYos2q3f7ffX7STkcnEbv6Q4wPAxHWQ/phOb+A/fs0cO8%20NcdnLD6AUkvy0xbpsY9e0TooT+dMWmMNcDuqZ/3zSSHO77ZmfbLOn65Mb6w8TPWKbevHof9xDcCH%20l1A7EbCOuGvHd9myZcIY2XTQdEnKhQh+zZo1YvcqMvEPPfSQsFy9erV2/2ZYNvf0MnCiF8e1E95K%20K6qwHdBAzzXJFYo/IosmV3Rj/0bN02KCuECwH3AghY5sVyQKkKYgHa5Kk4Nko6g5ODqS6PQjZKwF%20m8fBxa6USyphEmKU32XwcqTJYS9rthwkPVPRVQfpc/cHEaAsoO/apSzegY2LDm9GwN99wrOuujon%20VCeDdGwQT2KNmfoSknRHd6Gdx5QzsuVwAa0nM8jadLtA+IKMVAn1+v15uNU0CXkkbh//cu9XG5Ub%20FUyEa+yxy1vRDeUmzc5u9SKAbALuqeSo+b+d+JrcZGrxNnvlEdp6rHFK9D2XNMMTUS1j2YYRsCEC%20drx2IacBQYeuBniBu990003VASfLy0j5e7AgbubpZWAwn5K2NT8wcfeELHajziP1H9F3BjvMDDwF%20frgCq06Ni5QDV+zIFonnM62IMiFAB02nZVhAKQRfx0GUbZEDqbic7uwUlctFnZYRRFOOgUiToy0o%20ug6JGouZWU6VOd7D3pp8KtJacgm79TTW2X60UKZCUeebBe5+XHvuQ9DQlybdP1l3XNp8SVhs5yYJ%20NPltyNRanKD2YvuGjrpD4mVG0h27G8+0492navOEtjv3XdI8hpmclvNkuQ12Ct0+sElijFNJhfnn%20/nqcNlT2ElFFZRV07ctJxqRRSvSDw1ukJ0RZvg6ekBEwDAE7EndRRga6GlHKHdJ2n0qY7Oxsn5BI%20rbxPS2Ggy/6gp5fGibSYXdguVZqBA9mnGaeW4K2xQV2IorN6jIjwMJNqBXgsd4iMuOj9SQsjYtU/%207Mihj0fKK6qwcRbH958qEX7wnWrNacuhlunKswIQdFEtEXl0VVsiHETLIWjNPRY1l+nzzNMl8iw0%20t6rATtsGCnHfpSfjTuuKQN3OxT2M+g2iimG0GRKKYajLqM47iKXxaCF/CPGFONCQV3llFW5U7p+3%20S/W4skGyg8ah0b0hs7ATkxBA9+L7hjaPJLul31l99IsNLs9M3KfGrp7Hv9xHde2CtTdM9lAM16TI%202S0jYAYCdiTucp20OAy4O+o/4jVlyhR3IATXT0pyPlKnCXhUiK8OOL32ZpwAjT6Rc+1N+kGu3Gld%204QWNEQbXDE06aAnqMX0aBPjX2eN+SuhVkCOHjkUlQ4foBV84iDw6xeFkvvpxv6hfcWF7Z6E9EGtK%20xAVBh4gFXFxVMxE/IrmOPLp/UhYqlaEKFlPPWgYh7roy7jibMjBsUDM1yFrlHLXJVYrhO97bvuSP%200xIEVHdBxj1YmGBHrKwAiHovCzcZ03YHv3R/m7dz/m9qnofpnhndpkdzRcwWrIXzvD4RgMDvb5e4%20bL/5eO3xl5ZlymSNygNu/h//ai+tfIr/CA8Oa4FWuD7nYgNGwOYI2IW4S16OUo8SMsq/mzRpIo6L%20YvDitWjRIvFGqN7Fd7xk1Xawdrml1f1M6LUP7rkcSISnK8+KLoIbkk1mr6yqwlYzGQz+xI/sWm0N%20UBqz2NbpztGx4xNFzdEW1I2gn4KUBaNUtRRVPuWPKvkKjqPoDQoEgXyjYCKIOKQsKiIOgg7ibqyU%20Bbt1acMRy3T/EGZA6S7QAA/D2rVcMOi0IvsugcaxTkYLaNptrj+vIRXM5Jc4nvyIF6662y50/pnV%207tBAS5QPuqSjUv0GxB1Sh0D8Q3MFOTvKtKtaF7drGD9pRAssljc9BwKvxWO7N0+823VHKTZmPPbF%20XppTR0j4o41iQS99l4mGzco/hcbx/xjZEhl3i2Pm6RgBMxCwC3Hv2LGjWB6KzwhhDN5Ijo5PkVNH%20jUgch3JGkHuYyT6sQ4cOFcOlugbD8ePUqVPF8WHDhnmET6+9GedAo0+IIlDaVhjjyS9vUZW4fbTm%20OK0OMcbtwTeoObi4e7UW0W8IbUFVH+ExvZCyYJTHs0NF5zD487kOqg0KDs5NiTjkKxCaI30OebH0%20I5LuYtuof+lzjReMNMskO1ORdrJSy+uHzJ3T7XrPry77lLjI+4Y2c38ehXsk9CkL+o493HJLMo2b%20vX8vdWkHpmul0M5N+1otZ4e4GdXBH7uiVTeya1yXWzYOIgJ4IvTAsOa4hmUMSElAxX7XBzv+++1B%20fEENhT/pKinp4HPSHqlGTBjEtfDUjIDfCNiFuKNNkuioit2oAwcOhCRm3LhxYlUPP/ywaKL05JNP%20iiPg6zCAmSjojoGyu+qoUaOEDYbDRjL7W265RRwfMWKEkNyIH33a+42sGQMHnpVYwDmrZQTCKFeC%20duUSbeRUNpHCMjgOCo70OSg4/qBTgo7cudSX052gGCKf16sE5f93UVNUNMdBFDqg5xcEHewcSXSP%20Rc3B6YeQPCIqeFi8ReHgaWVnqsV1M1zUMhpk7iiaRDsV0L48ZvxC1U6fuP8H+xnWua4gQGiCi+v2%204ZEtLdNQeYEdv3r0cRmKRKk2kmo5ZesP5E36ZDf9s4BR+It/Vc/6z4/JAI3T4oRt7IlAzxZJ00a1%20Vt13ZReVow4Vvty7q2IDA23kZM9FcVSMgC4E7ELcEfS0adNQ/FEVPY7cf//94iC2qwpyT18wwEB5%20xKPN9OnTJbNXDddrrwtcw43BGqXPPSdq/hZVjztBcRA7QVHRXKTDkW6nOKOKHI7TTaJIt0s/9DjY%20tlSkqDLoELEgd46doKqaiRiCiubYCapXyoKi5j1bKFLaZVs9t640/IIRDmnGvVmaUljNpOmo27b1%20lToh244q/X2qm3r1rhxZhh8npUvToOmtLQAniFM0SY258fxG/xvfHnsqXrmhAy51vZe0ecGP7JYu%20mzFhFuyd1S6YySuuQJ+d55cepNowOEEj2BfGtsOTMWxbNy9y9mwNAnUToqB0urx7Pe/TYa/zs39u%20i5JB1kTFszACliFgI+KOtPrixYtBzUVbJQhjQLhRtV2k28ULlSJxUGhmYAZjDKEGKhtYoqzkpEmT%20vABKfWqxt+zcuE8E4kj36kEtHcRgDJwa3NpdaI4jQmgOmk7nQnZcVEAHQUdhARTHcI+kkKgboRoX%20FVdkUXNpjzQ5KIt7UXPYg7L7vRPUIzJULbNqV47HNqgGQkpdUWwtzrif01gh7mjDJMXr1a2UylX7%20k8YrJiHDbvHbEX728aNN0ED7UtxUyGDwSO1fSw6gIpPP8JZuOf33j3fRPjsYgs2IuA+/bWATj2WX%20fPpkA9sigLph0//cFn9X6W0eokURqgsyUvC3Hc9F7fAQybYAcmChi0AYKqaropcyEvePQnedQYlc%20IGksjGv25f73W2fpkuS4yJnj2wdlaf5NioQ3KLWqNyEE5e//fAxJcTxPQD5begYvlxLz/4xtJ//v%20wv61Hw4LM+x9lDuQzmuTDFEs1C+QsuBftUo+DpEMjlujKa8OHIjpJYe+ons9lL7xD0a9o1A5RO5B%20/Pe1GQHW29E7O3YHSrUDeozjNFXn4VB2yeRPdstPp1/dtmlqMPtn6V0p2xuIAEpVok2mdNi6XuxN%20FzSmWyboXCj6/vXGk+67ny/tkj6uXwO73ZkYiBK7EgjsO1WcVeDogIH/idVdJIwVIxAqCPgk4TbK%20uIcKpsGNE0U2ZIIht6h87ZmGmrZ6gYILzq0SuiBxjgw6hOaqkiyg1MIS223pEEmy8QYyXLlGPAAF%20xcdB6Kcla8f/5mt7N4CIBUJzfHcn6JbtBPVyLmjSHa0radED884gtu1K1g4BscWsHetCkR+5uj8O%20eVPLoFaStOzUJIFZu3lXhf09I+lOhVJ7Txajfgjqw6BQDLbmo5FZQUnFpkMFqOd979ydr/9wWMXa%208ccB+xHHn9eQWbv9z3XgEZ7RIibhi1l74GCyB/sjwMTd/udIHWG/Ns4q4PiANiq3eCVInyOFDDqu%20Iuig5oK4v/fTMRqS3ACqKuEixbWiMIscAqUK9Cog3H8b2kxFxJGYv2NQE7pr7do+DdBLBWODm1P3%20fgqwRVXWQygpr1z8hzFlqr1PSnUyQdExd26qiPs3HcqvLlrU/Vu+XSHurJOx+NfZbtNBjP734S26%20utZ+QUUmFIq56c2tt76z7f/e2z590X500Dx1ptmwfIGp41nW41e2pjItu62O42EEGAFGwG8EmLj7%20DV3QBlKxwc97cgxM3HoUXoOao+UQ6DhdMMg6mg2BFEJuriLoslTLAVLMBGNlW0SVVAbsHGJEfIfW%20XIUpDkL0ompFJGzm/arsSUV27fJQ2IEE4RQtO7Nk82m5EdO8iynoxL1r04ToSOffGVxgHjtbYfkr%20tmchhypwwDOlQR1SzcOEPYcEAuDuk0e0oJXdfYaN36//jmsHHZpPSzZgBBgBRiBEEWDiHnonDtoD%20FIUQcWOHAri7rjWIrkOqITiI9DlKteCLfiSouRiCNyruLn5MiHG5ikQlFmS+h3euS+0FCwc7p0J2%20YQBOr6qA7n1FqCQDPbS0GdMnZDqWAxNZaxIKlgWkkKWuk6jdmBJlPFDWPtBAS3B36Q2l+jx6Xn6m%20vL14ccE+A8EPdVeQtt8xqGnzut4u3YToCFwz2L+BveZp8UqR71BfO8fPCDACjIA7AkzcQ/KqcE26%20e64tAykL9CqqJDpo3H1zHS0qkESnK0eaXDA82FOCLlmmCibRbAgHsePTPYMOofnTo9vIFLscC0uP%206XNd5wAKmS83Kt3L0Z1UVW1dlzeLjZF7pvczX208iQJ2psaAbVvSf1CkMpgd2lMZg/tNIz5Cf3KI%20mBXi3oErbZt6UYSY8wEZKc+MbjNxsKOLAjap448SJGeoCYiC9Bd3TIOi5tUbO6BWt/X7N0IMRw6X%20EWAEagQCXFXGxNNoRlUZES6qFKPDiAy9T6ukUT0dzTvlEZBvUUURDBs02v04jiD/LTk3+LrMtSMp%20Tuk1qrgs+eM0yLHHpDiS8RbLyiFyxQY1sSL8555xTdvIkKrNDHU7oJZ8He1mrutn1hOD0wVl98xx%20PkLBPcObN51j4uVevWssdsL7yo3ik1e1UeX+H/1iL/oSCAfnt025c3DToMTJkzICjAAjwAgwAsFF%20gKvKBBd/w2ZHOhxSFmTKRQshSGU6kGId6BiHgi10MimQALGmSfferZy5T7BtSvSRxwKPh0LUXVOO%20xLmod+6RoFvM2j9Zd0Kydqx3TN8GocXaETM6ulMN7sJNp6qTfQd+9ewhaexgpduxCmjWu5Ndhj/u%20dBF3oaq9ZO0wDontCoGfGvbACDACjAAjwAj4gQBLZfwALQhDIHoBvYPMQNZSdK+HTau7yE2QyKnT%20ziN4j4Q6WDikLKqOJLDEcZXuJQhLrX5K9Fqa/5ujW6p4DWiX0q91tUXBbRW5Khhk2elj/Y/WujR/%20NTDy3cedaWz4bFs/OAJ3sZwL2imlkFbsyEI5P3Ecyfh5vyrVh3CXGMQbDAORZ1eMACPACDACjIAZ%20CDBxNwNV433KrLkUnas46/ltkmnyG+zn/Vs7IX3uvhMUMhjQ+pDrI4hyge/+pLRQTU+Mou0VjUfc%20ZI9ih4B4bTyY/9r3zpZSxk6767hTU+Qg7g2UeurGzqLFG8o7yv4DqIP0/NkiRWhon1VYLj1wul0L%20mGzDCDACjAAjUGsRYOIeGqf++vMagovjS25tRIu4Hi2UCtmJsUoFdLkkO3QdMgpfsPZDWUolGbB2%20i1U6Ri1E+EFTbilbwo+Qi5ghmKGl7jPqxxm7BL3e0MZSDtlyuAA7jN9YeXj1bkU2c/W5DWS5JL3O%202Z4RYAQYAUaAEagNCDBxD42zjDQ5hOb4oqVa+rZShCK/7vVcWyY0lucrSrRZ+XaLUowSTwzsLOnx%20tRrn52j1Ki0rq6rQFbJK40htZrtPFMk68XhAUT8pSts4s6wu7ZqelqCU6kNNzxWk4xLaZI7qyeW3%20zQKf/TICjAAjwAjUDASYuIfweYRaRtZTQcfvHccUXUQIr8otdChJ0NhcHsZjB2jxa8ACkV2++YLG%20ciHg2TOXHzJwXS7p9gZBTrdjXVERYTf1V9ZLVxrqwicDzxq7YgQYAUaAEWAEvCDAxD2EL4+YqPA+%20ZHdmjUy6o/DlrBUKnQ0Lq4OGLCF8zlxDRxXqwaRm+U+7c+auMWyjKt2ZGnSdjFg3npPcNaQZaDqF%20oVOThMeuaMUimRpzVfNCGAFGgBFgBMxDgIm7edha4bmvC3H33JPSijjMmQMlR2atOIwOo9L9hEFN%2029kgeWzgcm8Z2Lh9Q2Xb6NcbT1JRUCAT7SQ7UzNsAxqqIc24ui362EPiD8kTNm88PLIlmukEslIe%20ywgwAowAI8AI1BIEuAGTiSfavAZMMmioom9/Z1vR2eJ6ky9t0bWpsmPVxLV5co16lBsO5m/KLMgq%20LIO6Gl+l5ZVQtrSuh6+4tg3idNVcz8wqeXlZJr7Lqa7p3eBPPWqgDBolg9BV6lR+mVzpfZc0p1tX%20/TiPR3JK/v6xs0VXZETYWzd1xMMKfjECjAAjwAgwAoyAnRHw2YCJibuJp88C4o7oX/vhMJqbimUM%20PicNrb9NXFI1rnHnsOD3U4s2nUJb0OpmB308t0VSr5aOr7goH496ULL9pWWZ+cVKrv2iDqm3DWxi%20/dKsmRFdpcDd5VzA6pHLWgWSJv9ua9ZbPx4RDrs1S5w0ooU1C+FZGAFGgBFgBBgBRsBvBHwS9+BI%20ZaZMmYLIZHByeadOnZo4cWLdunXxUUZGxquvvuq+8hkzZuAjYTB37lyP0GixoQP12vt9PswY6KqW%20CUJtmZ3Hix6dvwetkbywdiy8vKLql725EKzf9s6255YeWLYtixbwlshUVFZ9/tuJZxbup6y9T6vk%20GszasXb0wZ04uKkEAVjhaQNteav3ykGxRTmkY+NgVnDXGznbMwKMACPACDACjEB1CAQh4w523q5d%20u6ysLMRUVaVUwMPxESNGrF27lsb68MMPP/XUU/IIaP2sWbOowfTp0ydNmkSPaLEJxF77xWRNxh3x%203PXhjuyzXWzuvbgZ3bGqPVr/LLGf8n8B1EJplBLdom5si7oxuBDySyt+25+XU1ShugEY2qnuX/rX%20hDIyPhFeuOnUh78obUSRcZ88omVctD9317e/u62w1Pn04/ErWweSvPcZNhswAowAI8AIMAKMgCEI%20+My4B4G4U2JNiTvS3pMnT3Zf9oYNG7p3747jyK+PGzfO3WD37t1t2rQRx7XYUA967XWdFcuIO9pP%20LvnDWeYcm/9QuENXnH4bbz5U8Oyi/XR4WnwkNC2pcZFt6sdFRYQXl1fuPVG052TRjmNFx3NL/Zio%20puraq4MCxB30XX6K+v1QuaCQoi7o/jhU8MzZ84Iz8tJ17XUNZ2NGgBFgBBgBRoARCAoCPom7P8m8%20QFbing6X3l577TW8T0tLA1MHoR8zZoz46KOPPhJv5s+fL97MmTMHBhMmTBA/zp49WzrRYkPj12sf%20yNrNG9uvjdKJ6Zc9uXKvqnkzwjMKNb74XSad4rJu6S+Oa4/+l5d0qgvi3rxuDCrADOtc946Lmj5/%20bQbyvld2r9c0LUZjVKnxkbcObFIjd6N6QeC6fg3RVFUabD1S8MI3BzUiJs3WH1TqC3VrHrTNynrD%20ZntGgBFgBBgBRoAR8I6AdRl3KGHuvPPOefPm0YBkxh2f1qvnKBgitTGrVq0aOHAgjgwfPnzx4sV4%20I+5C2rZtu2vXLryRQ3r37r1mzRrhVosNDUCvva7rybKMO6Ka9MluMGkRHvjuoA6pukL1w/ipBftB%20K+VA9BJCVXItfg6eLl5/IP+3A3m0QxAd2CAp+vy2yaN61tebadYye0jY/HvpQeAjQ+3VIun+Yc21%20R37PnJ2nC5w1au65uBndBaHdCVsyAowAI8AIMAKMgMUI2CjjPn78eMHaZaacYpGeng4Sj5dUtOfm%20OvdZChnMxo0bhT1ouniDIeK9lMVrsaGT6rW3+OTpmg5dVKW9BZ2YPlp7nLL2q8+tr5G1I8jmdWOR%20R0cC/u2/dpw2qs1tFzYZ2TUdkhhQ/7uHNJt6eavnx2Tgx1rL2gHR/UObd22aIE/o+gN5MxYfQLVN%20LZfExsx8ydpRvYdZuxbQ2IYRYAQYAUaAEQgJBKyWyoC1z5w50yc0e/bseeyxx4TZddddh+95ec4E%20ZK9eveRwcHfqSotNIPY+ww6iAVXL/J6Zf+pswtWMkLYdLfxyg1K0pH/bFGTH/ZgIZd1R4v2i9qnQ%20h4DKg/pjFaiv4oerGjYEz5b+NrTFOaQaDM7pk1/vP0Sq2le35BXbsuVHzNpr2IXBy2EEGAFGgBGo%205QhYR9xTU1OhTdfC2rFLFXoYkUcH0R8wYIDPkwRdjSE21IkWnz4ntcygWVoMrRwCpbt5U89bc1w6%20r58UddMFtaLki3l4evQcHRmGvDs9pwdOFz+5YB82BHuJBOqjNfuUUz+gXarFYfN0jAAjwAgwAowA%20I2AeAtYRd9RvGTt2rK6VYKPqgw8+qGtIsIwzPb0sDoaqZVAx3aTZ0Whp57FC6fz68xrFR0eYNFct%20dwtgH7q0Zc8WSRKHvOIKlPH5ZN2J6pD5eK1yT9WuYTxXcK/llxAvnxFgBBgBRqCGIWAdcdcO3LJl%20y4Qxar1DxR4Sme/mnl7al2yIJVXL7D5etP9UsSFuqRM0RUJ3JHnkwvap57ZUaKXh07HD2KjwB4Y1%20H3KOy65f9Lr6+8e73HcyoCooOs5K0K7o5iIkYzAZAUaAEWAEGAFGINQRsCNxh5wGu1ShqxHc/aab%20brI/ys08vSwOu25CFJrby0lX78oxPIDPN5woLnO29YmPDh/Tp4HhU7BDdwT+OqDxn8912UVwJKcU%20tTif+Grfok2n1u3P+35H9tML98ta/vCAmpK9+J6KLyZGgBFgBBgBRqBmIWBH4i7KyEBXI0q5o7+S%20z6S7Fh28Fht6cnXZH/T0sv5SoSXAf9xtMHE/eLpkyWZnmycs7U8966fERVq/xto541U9608c3BQ7%20Cujydxwr/OCXYyj0/voPh7eQXDvqaaIsT+0EilfNCDACjAAjwAjUYATsSNwl3LSATFKSU5Kxfv16%20aYBS7vTcaLEJxN7+1wGIe0KMU3GeXVhubF3I+RsUkUyT1JjLurISw9IrAtV7/n1NxhXdHe0OvLxA%207h8c3rxeogvFtzRQnowRYAQYAUaAEWAEzEHALsQdOXXUnMcLrVXlSilH7969uzguq7aDtYv3srK7%20FhsKo157c06BwV5dku7GqWVQjpBWqhnV0wd9NHhV7O4MAuHhYZAnPXlVm+7V9EMd0C5l8qUtcVvF%20gDECjAAjwAgwAoxAzUPALsS9Y8eOAlwUnxHCGLyRbVbFp1I5g4/w49SpU8WQYcOGyROjxYaeRb32%209r8CLmibIoOE+vlUvrODZoCRf0EKt3dukoDsb4AOebjfCLRKj/378BYvjmt3w/mNhnaqi/3BuFsb%2026cBelrdcVHTRsnRfnvmgYwAI8AIMAKMACNgZwTCsA1UFZ/PbquBr8fjFMi1z5o1y935ww8/LNqp%20gq+PGzfO3QAieCGL12IzYsSIJUuWwFIsXItPv9crlumOsN8ONQ587Iu9u08UCeNreze4skeg2fEf%20d+XMWnFIzv7wZS07NVb6emqMis0YAUaAEWAEGAFGgBFgBLwg4JOE2yXjjjVMmzZNil7kknDk/vvv%20Fz9iuyr6MalWO336dMnaNdpQD1p8htwVZrha5quNSp9UOGfWHnKXBAfMCDACjAAjwAgwAjUAARsR%209/T09MWLF4Oao+8SkEXzVJDyNWvW4LgEGpUicRAfCQOUjJw0aZLqNGixoUP02tv/rPfPUHQsh7JL%20aG1vP4L/dktWZlaJHOhzc6QfU/AQRoARYAQYAUaAEWAEGAGfCARHKuMzrJphECypDNCbueKQrOMO%20PToqCfoHKeRE987ZebrAKZS/pFPdm/o38s8Vj2IEGAFGgBFgBBgBRoAR8IJAKEll+EQaiMAAknRf%20vTvnRJ6fW1S/2nBSsnYI9q/sziUgDTxL7IoRYAQYAUaAEWAEGAEdCNhIKqMjajb1hQBaqLaqFyut%20VmzP8jXCw+eFpRVU3X5Fj3pozuqHHx7CCDACjAAjwAgwAowAIxA4AkzcA8fQph4Gd3BsFRCv5duz%20/Yjys/9v7+xjLimuO52xd7EdwXqYIUpg48SZDye7/phZPuyEj0QkAkYYYQlswQQFkRBZgkgrrRSN%20HRDKxoiJhkT5a2XsP4i9sQyDAEMkcGZwFq81gxN7gDA23k2MZ7LZJeCNGQ82ycawsdkfPt7DSXV3%20dXXfuu/b973PFRpd7ltdfeo5dap+XX26+vFv/OP//Z4d+MMnvJbs9hEMOQQCEIAABCAAAQjUIoBw%20r0VycvWc/zPr/S2q3/7Hf9r/lW8OMvF/PPedfU++eoiSZN7wL+ktgxBSGAIQgAAEIAABCNQkgBSr%20SXNSdb1m3bpf+jevLrrvDyq8xM5P/cU3vJjexHnJtlk3gy85KWUgAAEIQAACEIAABLoIINzXct+4%206K0bXnkF1Pc/f/fCS5/9y9JM9y/+9bcf/5sXHM1lp//IWsZE2yAAAQhAAAIQgMAiEEC4L4KXxtr4%20xjf8i4vetsGPfvBLxwprUna7l9z+phN/dtO/KjyQYhCAAAQgAAEIQAACcyKAcJ8T2KlUq0V3N+Xr%20337pgQLtrp1k4huXWG6fii+xAwIQgAAEIACB5SaAcF/j/v+Rk064+O2vbr7+x0984x9e/G6mzX/9%203HfuOvR3XuDCt27Y9CNvWOOMaB4EIAABCEAAAhBYBAII90Xw0mw2vmf7KW844QeO/seXvnfHF/53%20pr5P/vnX/a8nvf61LLfPxp6jIQABCEAAAhCAQDUCCPdqKCdbkTaFfM/2V58u/dxXn//zo99utfYT%20f/71v/z6//E/XfWzP3bi61472XZhGAQgAAEIQAACEFgqAgj3pXD3Je/YuPVHf9ib+p8//2zMYrff%20/8t/Px63jDx3yxv131LQoZEQgAAEIAABCEBgEQgg3BfBSzVsvOpdP+rVvPCd7/6nh58+/g//5L/o%209Uwfe+RZ/19t3H712T9W47TUAQEIQAACEIAABCBQh8C6l19+Oalp3bof7P3d/FOdcy5NLUZyOhjv%20+4tv3PvYq/s8arPIs7e88d+96cT/+lfPf/7It9wtsvo/XvpTm3kmdWk6Kg2FAAQgAAEIQGAKBHpF%20OMJ9jm6amnBXUz/++Wf/9L/1vIbp+vP/9dmbSZKZY8egaghAAAIQgAAEINAk0CvcSZVZrm5zzdmn%20vvOncm9T+g8XvAnVvlx9gtZCAAIQgAAEILAgBFZHuN944426pPCrCmd17Nix66+/fsOGDfqT/tX3%20o0ePRpI7duywA5NPQvvWW2/dsmWLyujfvXv39vpiaPneCqdc4N//0o/vfOer+e5u6jt+/MQPveen%20zvjJk6ZsPLZBAAIQgAAEIACBpSWwCqkyUudbt249fvyVhI2Y/63fpcsfffTR6IyTTz5Zv2zatMl+%20lBA/cuRI01uxHsn92267LZbZs2fPrl27unw8tHx5X5lgqowb/zfHvvOVZ/5B/730Ty//xMbXbTrl%20Deewh0y5aykJAQhAAAIQgAAEahPoTZVZBeEehXIU3FqG3717d5PARRddtG/fPvu9uUhvv3s9Wl/f%20uXNnsxLJfVf/8a9Dyw9y0JSF+6CGUBgCEIAABCAAAQhAYN4EeoX7SqfKNJe3HYEvkx84cEBCXP/a%20n/bv328JM4cPH7ZftIKuAvHjldx///32/c4771SB6667zv739ttvb2U9tPy8HUb9EIAABCAAAQhA%20AAIQaCWwcsJdmTBXXnllksTiNh08eNCSZ6644opzzz1XX/Svy+5nnnlGv/zt3/6tlT/77LO73HnX%20XXfpT5s3b9a59OXmm2+2kg899FDrIUPL040gAAEIQAACEIAABCCwKgRWTrhfddVVppJdjscGP/30%200/a/p59+uv/+5je/OZZ58skn7X9V2J49lTr3ZXj97t/PPPNMK7lx40b7nqTO21+Hll8VD3FSCEAA%20AhCAAAQgAAEIiMDKCXfDLdX+4Q9/uIleEtxSX+JTpHfffbeVPOmkV7Y6efzxx+1/lW9jj6jqSuD8%208893/f3CCy9Ygaj+pd27PD20PD0GAhCAAAQgAAEIQAACq0Vg5YT7+vXrlXfeqtpbGy85bsvkynvZ%20tm2bvvh+MpZUYx99//Vf//USfMrGKSnmZYaWH1Q5hSEAAQhAAAIQgAAEIDCIwMoJd+3fYnnnJR8l%20xF9++eVW8v3vf799MR2v1JcnnnjCnl7VZpH2+6qL7P/V9ilpKWUgAAEIQAACEIAABCBQQmDlhHuJ%20NV5GG7rb+rqW26+99lr73XJpDh06ZAvwenr1gx/8oP3p85///KD6qxf+ibZP9bNQIQQgAAEIQAAC%20EIDA0hKYonBXCrstrmtB/d57780kqfv2Mp7+vlqOfFPbZ7WM4bwQgAAEIAABCEAAAmuPwOSEe9zo%20XQnxtrje+3n++ed7y9guk+WfQeX/Z9un/FyUhAAEIAABCEAAAhCAQJ7AtIS78uB9o3c9yRpz4pXF%20rv0f9dELVptNsrei2uYz+sQFeKXLdyEYWp7OBAEIQAACEIAABCAAgdUiMCHhrtejarndQNxwww3J%20k6ynnXaa/ck2g7fPn/zJn9gXW5j35XnftV2q3R9pbSIeWn61nMR5IQABCEAAAhCAAAQgMCHhLtVu%20+zxq35hbbrkl8Y3W1PWgqn7UQ6um77UG78vzF1xwgZXXi1etjBbv9eWmm26y3y+88MJWZw8tT4+B%20AAQgAAEIQAACEIDAqhBYp31akhMrHcV+af6plonNU2jX9u3bt3fVr50flXEuLb5z585mmfhSp64y%20kvKWTqP9avbv3++t6y0/S5OtmfPDOIttHAsBCEAAAhCAAAQgMCkCvSJ8KivuJqbzHyXPSKMnZbQ8%20f/PNN/uPrWX27Nljqr35GVq+z0b+DgEIQAACEIAABCAAgbkQmIpwf/jhh0vap31mpMItZ0abRUrH%2079u3L9kvMpZRST3kumvXrkzlQ8uX2EkZCEAAAhCAAAQgAAEI1CWwOqkyddsw2dpIlZmsazAMAhCA%20AAQgAAEITI3AwqTKTA0c9kAAAhCAAAQgAAEIQGBSBKaSKjMpKBgDAQhAAAIQgAAEIACBqRFAuE/N%20I9gDAQhAAAIQgAAEIACBFgIId7oFBCAAAQhAAAIQgAAEFoAAwn0BnISJEIAABCAAAQhAAAIQQLjT%20ByAAAQhAAAIQgAAEILAABBDuC+AkTIQABCAAAQhAAAIQgADCnT4AAQhAAAIQgAAEIACBBSCAcF8A%20J2EiBCAAAQhAAAIQgAAEEO70AQhAAAIQgAAEIAABCCwAAYT7AjgJEyEAAQhAAAIQgAAEIIBwpw9A%20AAIQgAAEIAABCEBgAQgg3BfASZgIAQhAAAIQgAAEIAABhDt9AAIQgAAEIAABCEAAAgtAAOG+AE7C%20RAhAAAIQgAAEIAABCKyOcL/xxhvXff+TOODYsWPXX3/9hg0b9Cf9q+9Hjx5Nytx6661btmxRAf27%20d+/eVheWlIkHDi1Pv4EABCAAAQhAAAIQgMAKE1j38ssvJ6d0Pd38UxXjpM63bt16/Phx1RZPod93%207Njx6KOPxrOcfPLJ+mXTpk32o6T8bbfdFgvs2bNn165d8ZeSMrOUL4dgJOeEsdwMSkIAAhCAAAQg%20AAEITJ9ArwhfBeEehXUUtVqG3717d5PpRRddtG/fPv2u9fWdO3c2Cxw5csSVfUmZWMPQ8oNcjnAf%20hIvCEIAABCAAAQhAYJkJ9Ar3lU6VaS6Hu3t8Kf3AgQMS9PrX/rR//35LmLn//vvtlzvvvFMFrrvu%20Ovvf22+/3SspKRM7xNDyy9yZaDsEIAABCEAAAhCAwCoSWLkVd2XC/MZv/MZdd90VW+sr7gcPHjzv%20vPP0pyuuuMIz113lS8Sfe+65dhWyefPmr33ta/qiCk855RR9OfPMMw8dOmTVlpSJBgwtP8hVrLgP%20wkVhCEAAAhCAAAQgsMwEJrTiftVVV5lq95Xy6Jinn37a/vf000/339/85jf798OHD9t3yXT7snHj%20RvvuafElZeJJh5Zf5p5E2yEAAQhAAAIQgAAEVpfASqfKSLV/+MMfbrb5yiuv1Oq7PvFJ07vvvttK%20nnTSSS+88IJ9j8pe2j1WVVJmlvKr6yrODgEIQAACEIAABCCwzARWTrivX79euemtqr3VAVoOt6V0%205cZs27Yt7yRl2vR6saRMrGRo+V4DKAABCEAAAhCAAAQgAIHRBFZOuCtzXcvqhYYqf/3yyy+3wu9/%20//sLj6IYBCAAAQhAAAIQgAAE1iqBlRPugwhqQ3dt8qhDtNx+7bXXDjp2VQrb+6SSj1nS+id+hAAE%20IAABCEAAAhBYaAIrrzmnKNy1mYwlyejtS/fee2+SyL7yjDgjBCAAAQhAAAIQgAAEVp3A5IR73Ohd%20CfG92e1GUJtF9qIsKRMrGVTenqzlAwEIQAACEIAABCCwJAR6xWf1AtMS7sqD99cw6UnWmBOvjWWs%208Y8//rhTUCp8JFJSZpby1elTIQQgAAEIQAACEIAABAoJrNwLmKJBrdvL6/Wo2pf9+PHjKnnDDTfc%20csstSRtKXpZUUqZpSf6lToUoKQYBCEAAAhCAAAQgAIHRBCb0AqbeNihJxlS75HtTtet3vVRV/+qh%20VXu16k033WR1XnjhhV55SZloydDyva2gAAQgAAEIQAACEIAABOZBYCor7tq1ffv27V0tPHDggDLO%20pdd37tzZLCMpv2nTJvu9t4z2q9m/f79KKvuqpPw8oFMnBCAAAQhAAAIQgAAEEgILs+JuYjr/Ucq7%20XryalNmzZ4+rdv2ppEysYWj5Phv5OwQgAAEIQAACEIAABOZCYCoPpz788MMl7dM+M1LqSklXYf2r%20B1h37dqVHFhSJh4ytHyJnZSBAAQgAAEIQAACEIBAXQKrkypTtw3UBgEIQAACEIAABCAAgUUnsDCp%20MosOGvshAAEIQAACEIAABCAwVwJTSZWZayOpHAIQgAAEIAABCEAAAotOAOG+6B7EfghAAAIQgAAE%20IACBpSCAcF8KN9NICEAAAhCAAAQgAIFFJ4BwX3QPYj8EIAABCEAAAhCAwFIQQLgvhZtpJAQgAAEI%20QAACEIDAohNAuC+6B7EfAhCAAAQgAAEIQGApCCDcl8LNNBICEIAABCAAAQhAYNEJINwX3YPYDwEI%20QAACEIAABCCwFAQQ7kvhZho5jsCxY8cOHz487tgVOErmXX/99UePHl2Bc3EKCEQCBw8enCwQ4mKy%20rlnzhhEXa97FU2ggwn0KXlgwG6QUNTxNcITShL137179WwvoPffcs3379h07dnz605+uVaehq3I9%208JnPfOa2227bvHnzRz/60VrmUc9oAup45tyKPXC0MfHA6nGh3nveeedt2bKlYrgRF1V8PcFKiItZ%20nKJYqzXbMl/M4ohpHfty4+P2Nf/EL60E7rzzzuuuu+6i739uuOGGBx988LnnnhvN6sCBA17bFVdc%208ZGPfOTIkSOja5vx8OS8apfa6D3k5JNPVntnaaya5o3VF7V9dEt1oBor22TVnj17ZoHmNkgTW2Nl%202yyG2bHqGLLN6T3xxBMz1unmqc7Za5N5Z555ppmnL+rVM5onb6p7WFwIoCqcxSlTjguBUkvjyK7I%20naWxE48LedMaqx44YyeZflwosuRNb6/GlllGPLW3blyoq3iUKdBk3ixDgQaBGQfhpD/UjQuRVwNt%20SJFTZhyjqs8XdeNCfvQBWd1P1s4Ya3Xni+pxoZ4cnav2ztKTJx4XeVf2ivAfQrjPEgyJkI2KVjE8%20ottpJGq9sNM4NWKQUt+12nR4leE4qna3U8PBiJYKu46KQtYqHNFM92Bi3jgXeG2awyqKbPkiNlbf%20Z+l4JndiV9EQP0uF6h7NjjfL5UoyYXvlmm5l+VBTJx4Xmm+a9OTicZ154nGhQc8bO7uYmHhcqLHN%20MUqxNlq7142L1q5iF1RyzQgjTdvp33FdN4nrunGh5kQha51wljGq7nxRNy5EMmnsuEm2dTqzpZmh%20g3AsXz0u1N+agWZ26k9De/LE46KXPMK9F9FMBbpGYec+SDG7zm7V7jaeDlrvSbTdjMNxFE8aLn0V%20SoYp5IaGlrjHBYDYZFuqVOxJTQ4arVS4iU4uiEqxHKAP6/pivcTWe9xs/V4+O3pX0UikSmxeVIWq%20wRaQbLWsfJnWzatyW8ArkXmq2cdQs9N8UW5b0vGaThnUFSceF9E8u7cQZ6ARF8wTjwtXYzHq1U/i%207Rr19sLeMvG4iGuocm4Sa2rjoDGqblxkhlCLODlI9hc6QrU1L6LKR8vmPFo9LtwXyXhiY5T5YlC4%201Z0v6saFdxW7gayPEVZjNfPafKHYKW9v3fmiblwkHa91EWRQV+waQqcQFyWKE+FeQml8GZ+hTcBp%20INCXZqdRLy/RtXbnTh9Fptlk6QHJlajqL1+zbF5a2EBQYk/CxZW6L8Yo3ny2dnVbSNMHTTVH9Zgm%20tubbnV/vu4Pa6wyT4Del6H/1cbDL2jimO+3meo/NjiXu8BY5+dYFJFtD6vVONM/uvFt7e9vV2l6v%20LV6iWGNthnCY+rGksd5VTDfoI/jJ+pZVXnJhNvG4cPN88U/u84lt6DXtxONC/ceHI/U6605d6xcl%20vXHKceGNjU40z2o8iTrSllR6h766cRG7io0Y+iWuLLhMKbHNjG+9tBik/h1C3biIHc/Uqq/RmoT1%20McomuF5fWIFa80X1uPDZMI63rZcuJaNo3fmiely4FzS/yFR1ZrW62dhCJTDxuCjpmQj3Ekrjyxjf%20RLOq28XVaCtTkk/isZqMO6pQg1RyPVB4i7D1lpaZNHQ49ik28or1x6t/0y6ZxR7PzYiN7VpTMWsL%20/WTwLf++VWqXCNwovJpDfPParPfOstNzJq33kX2uzSvaZjKlt7TXkibGVl9kVgd7fdHaVXTeZpNL%208kkmHhduXrL65RCScM6vk008LuJtN+uiURPIm8kqQ3lXmWBcqHXNET5mRCSrA70pNHXjwrtKc9FE%20wZtcJ/fa5sNC8wLbIZSv78ZgrxIXrb7oyqCTweXtrTJfVI8LH1V8PG/NZvQemB/2684X1eOiawht%20bbKvF3TpgYnHRYmMQbiXUBpfxkV5skRqdwnt0t9nMn3J37X0KVAlW3VbIt99YT7fAF+N0GjevKLQ%20MF04HPuxSWKrXy7H+cNDsWvm9sbGZDs/SlXZ/cEokQslqXxhR9nYrdY1W61f8so4HmLLAP6L49KX%20OMnlMfrI7jOKHev/a2kz3lsyOYjxHrQz8VYPusixntNcoojzrq0m6hOvgvJrWo6lCdlck3g2v4o/%208bho3hBIqMb1Wp9UuoTFxOMirlDavabmXSx7stbnnnxXmXJcxGVU78nuQVsaUOviWJG/8Vg3LqJ5%20rWNjMkAp9Hpv5alOv2KXZ1vv9xaOw3XjIq7y+jTqvvAxKg7IvReNFqdV5ovqceGDvIsBmxyjNoj5%20aRl1UX2+qB4XPu83n5mxkUT/Rs/2avck1TMRSKsbFyVyE+FeQml8GZ+fTNt5RR4qlhnsiqd3KIlz%20gHpz6zgb5V3JGOqjm+cCjhuO4xJsEjkeJy5e/ZfMtO2h6LOdNS2ZYJqrBb0Oc/XjwFuz6HTezKVU%20sgmMtag5MceLjYxhUVirgZYE1Vz7j/kzXXLWzyiT4hnVaseujlQySTeX2VSDDIv9MNbj81M+A8TV%20WDOPyIV7zCfRj3mfTjkuYtdS94i43GyPAv8lo/AmHhfqZvESzrtcc3b020eZrjjxuIj3iOS7OHLG%208FQ4N8fAZpeuHhdRL3ZtZCTbhj4G47dkTdcml9m+JpUfYarHRRz37NTetDj5xsXvwvz+KvNF3bhQ%2063ysUNeSo61dzXHD58cuOTuP+aJuXMRLi0QwWOus1bG35z075bjoVS8qgHAvoTS+TJKI4uvEPrHZ%20gBInp/xgF3VbZnzM3AxqNqY5KmWG4/w2ET5GJNGViNfCodOxxMsPW3hOWuE8CwfiGOR+ueLBEFfx%208xVGcWmHty6Ee4X5nhSFtaqyo5qatTVZItZsK5qtqZw6hRtTkp3l1SYdL+YAJI3yPpC/wxAXSHw9%20rHnTxn/JL7pPPC68wyfTalydVRNal76afWb6cSGb471E6y3Nka2wq0w5LtTSrvy9pP97Hyi8GWWx%20b/eyRsdF07zWBMU4T5XMdnYRkgxNcX3Xx4f8UlTduHAtm5y0CdxvMpcsbBkQl3qzzBd14yIZ9Hxg%20b85Z5o6utYB5zBfV4yJeCfi9LPejJxe4m3oX3ZOwnVRc9MYgwr0X0awF4oJ6lDtJIHm/7M1LUbg2%20H/ZSt0uyDnpdGxumwUhR3RrYyXDcO9IpcpriNU4MgxZ4bDmn1weuAnvpxarsKLu36GFsQ4C1uvcG%20iNUWW9QqUPy6orchrb1Fh8d2FT5BK3StF4HJcF++0b5dMhk0UXIzkuso75x5XzSvebzHtqaO9HaD%20iceFdZLmnOpdVw0sv3e0EHGhxsbLs+alV2FXUdRMOS5suFBEqN/a5nSma5NMRb8hme/J1ePCRGfy%20aIH8krhj0BDq9wObA1qSedg7hNaNC1PG+cUvK2OjTe+oMo/5omJctPYW+TpO074wl0/Tqj5f1I2L%20eO2U6Cj9b5xr8lcp0aFTjou8VOhVd+zj3qu1igo0VyM0onmoxBX3fGq1nyxJwzJHShkkWZWFae5W%20bf5RUZuZilrbVijej/NuV9jYrpOawTE9Y5B5fjkR7+wPkv5+OleNcSZQVXEay4+b0fLmaqWI2YVE%20VELjTNWJkuE+GejLGcY77DJG1bpqyafKxG6cPGCgBvptKBXrenCiy8iFi4u46O5xkb+v1eug6cSF%20q8bY+eVftbqZ2NDbrkWJC78AM32suIgvLysJ20T+2irPLHGRPFdgPc3S3kTVr6AGjfCZ+cIXcUeP%208POLC9XslzGDzKs4X9SNC/Wu5nYI+kWDp83aI65SYjDWmi9mjwvvVz5U+k4ydrXW9eCENUfuTi7q%20ZokLHdsaAnONC2sIwr13sqhZQB41Mee9p7mTekaR6MCkTzTH9+RitGuSsLlz0LBlgq/VPP2etKtZ%20LC66914TW235NBUf2b3JXcsnjr1pVVJJ5onPeGyXeZFnc9OVQb6wJdXmcOyN7bokK/GFtSXm6Gd0%20dqarZDaWGeQLt9k9rl+SnlyeBKWmjY6LcdHeu8KXrzZejJmcmqXC8rjIWDUuLroqVHMynh206jk6%20Lso9WxgXmQrV2GSF2ztz+dW7jbfJUFMSF7K/a2Bv6p4kypq+sKvxcR2y9aiMeQnSkrhQS0v2n03k%20TmYCUmPzC1iRWO98kTdvaFzkfdGaqhQFbtMd5b4omS96fTE0LjK+sLiI/dgJDmgAACNMSURBVDzZ%20IK41NUBRaRmkiYtHxIWA2KJSM9mhd6gZF02xWoR7L+TBBRQMJWsqVm9MtLKcjeb5fBXTvJUkTqi8%20ul1T5HUto8YsZ1ukn3F5r/yd1YnOax1wexvrfJLzts6IipA4+ltuXBI2MXmuNxGo3Lwkha615hJf%202Ia1UQe0Jq8blnJfWHmTQeoGrRmBheY1NUrr/fESX7hz41MQMq+Vno22luKlL82gGxQXOrUnjKlC%20BcWMw6tdPJh5+fcNJfNZqy/MU1abqs101JK4UGN7zRsUF72+6PJsVypFry8GxUVvY5NRNx8XJb5I%20nkT0obu1U5WbVxIXFo/NZBhvo+m/5k64rR3PljBb5c7gqfH7B/Sa59WWxIWJJ81ivVcXzTWypkCP%20j3t1XfwMioty8xLPtsZFiS9ktvyYrPjY7f2mv8p9UTJflDS2PC5KfBG7SrygaqUXCbdemw2KC9Xg%20Z+yVDeMiJXMUwr060h+879OGkt7afTLuum5rrp+Zz1oHWV9a7rpyaC57+9rDOJkSRzHvTJnUi3wW%2076DGWl5pXsckazZmYfOhTJs4e7cuGWSe5gn5SAY0r+99EGxdltMhrb7I3DewCof6Io56zYGsvKvY%20eFfLF2aV7TNtzm29wEseWDTPdkVcb1zojM1HDMt3em6GeTINm/TJ3ODKTyoi3JRZGcnb64tC8wrj%20YpAvVNgGvcx29YN80RsXhY1tOrH1VvggX9jVhfXkrkvBQeb1xkUyRuUVra/o66iu8T8ZQkesL0aw%20g8yza2mfVlrFVpRr+asLnbrXF8kQ2nXxUxgXsr/cvJK4GOQLd26XZ4f6Ij9fDGpsSVwU+sKsEj1f%20JelaiPQhtDd/uCQuxmWX9QrCwgII90JQpcWSRQIbSsZpYjtl3AMkuZIedIvZavMZ0daeoxrQoFDa%20yP9fLl502qpnVKJdFw/W41s1Vt3GxkFftsVc6tZshF431TVvCr7IeLyueUN90dsVu5KIbHYfmgnW%20FE82Mpo47p0CE2tjXMSZ268MW1Ot7GZOqxxvCtl4odKrXGc0rzwuYmP1fXF9URIXSWNtQJu3L3rj%20QgWSh0bsojEuHwy6J+wLn7G9iaIdNMcNNS8TF2ps3NfPLYxXF7K/ZAXNwKqrtyaLx+V8ndE6dm9c%20VDdv1X2R736r6IveuIhXKa5MYkal/N5627a15riq5TIs5tso4vL3RXsNzhdAuM8IsOXw1sRf9YlM%205lyXER6ocTE4hkd5To6dwoW1G6MaRj+84pa42lCHjoIvc63f/FP1xvoM4QO3Wu3XKkMvVKqbNxFf%20dPW9uubNzxfyqSc22J2ouC7ljy7l49zNs1FYQeH9xHRD1AS9E3Z8QEqFZWF8xDYqA5kal+FVsnVV%203g2weHeTbN063ukquZgfbV4rwxgXa8kXvXExQV9k1KdfiHr+W+seR62tbhVkdutSXbFwkyuvuVUc%20583rigurs3klYLXZ1YXNR4qgwlT4VnHsFz+u/8qnj7rmrbovCgfS5LJ21X3hXvDHEroe0FLJ8hFe%20zbTCyYqtNz95gU8tuYlwr0Xyn9XTmqFhQ8kgqe3DRDIf+12kZPhQVOdXF3xEi+b6WZJ1aP2eX0px%20M5JGefMTszM3x00tmXm1GutmxMbGa+Votl1yZC6uqps3ZV+IWF3zVsAXXcvSakhXVol3jKZ5Xavm%20NoVnkl5UZ2tcZJ4z7l0RbPqi6xaBSvZm+NQ1rzUu8IW5bIV94f3Z1WfzRmi8zOsVKF6h6Z7mfdqo%20z0ouGq3Cuub5lYBtqtYVaOUzb1yQysjuQulQ3Tx80bwqyPsiDuaeSBOXY5I+0xu2Xt6zbmI/SWrr%20nS8KO1IshnAfAa3/EL+YUy9JEkhEvDD9PQ5wOiQOsnHRwscjl6Qq3DVIeWdNlEey4mgtNDWjQ7qS%20xrq2XvJxOV4J+ATf+y73Wo2Ny5zRZ252vOxxNdMl8uLK4pr3hXDV7Spz8kXc1SFezeq7PnEAzYtj%20Ny8uy9ngaGJFtUUxmn8cwjtYfBDFrw1Uj2rTn+LMkb8dZyX1b7xRZubJEmtsXCzIX6jUNc/jAl+s%20ui9aRzlL80jCwbpT7wOdXqHPODZ6xxwD1xAKovwF7fzMiw8y6ixqV/OZkJgs1DuFuzhWzTEFwhur%20+guX8OM8boE5o3n4Ink2rNcXMa3AVga9w/j6usWI15y5oxLv26s2q8EOjHex5GWfgFpTc3s7YaYA%20wn0WerljjaznyLaOmyWpgT4AJY9UNtVn3M68ayklPlERpUxTasc7hl2XAfH2kDp6PGnzSsB/yYRE%203cbGe2HJs7xJ7kHUqZl1o7rmTdwXdc2r7gvXqd6d7G0ayVWfq+281G5mQKpv2yniVWt8CjNzJdCa%20AWmWxOeiVMx7VF5q+zWJTwAy2GaFKJV6n+SzAau6efhiOr6Ic1JUn/Z7suNQfl0mmd4Scay/tqYH%20qDMUJoXWNc+nPw/MrpzVkik/EccWNc0b6Zk1suQsdc3DF0N9IfclD7mZQku0jbquq+38LRofky2I%20rLZEPMSTlt+PKumfCPcSSmPK+BVYPLj1Ujs/Z7tWSC7amikf3uEyFUatkM9vKVQ8rhUSOZ6k38R7%20VRnFU7exIu+tyKffFCqeuuZN3BfVzavrC59ZY3fSj827Qy6O83rCZtbkdlBzn2NXA/mwtTWe5Cap%20+k+ySieDfeE8P8rYrJOctDkZuDLL32Goax6+kO8m4ovYi5rqM47qPvf3JpJ5nYn6jKN6vLtVKNyr%20m5dcCfiobpFYGGje2KY49jaW38rLXEfNaB6+cId6T+7NOdTwm+SxNG+buF96pbZ6SHL90Nzrz2Ok%20/KGIErmJcC+hNKaMpkYbJZsHJ/cZe8dNW/xrdsqYG1AoPW3lQN2redIoteNye28w2OJfc7COme6F%20lwG2ilOxsapQA1zzNRnJZU/JNY/5sa55E/dFdfPq+sJubvYGp/fD3iRXdfXee/3lT6epqt7YkfG9%20Q7A3sOQGnY8JvWTqmocvmv1wtXwRLfHuag/weGeLGSCFOtuq9fxJ1eCjut1HsmWp3ulsfub5qG6X%203z6qa9ix/lmepGpGugfVtKiz9SebxPP38ZIuUd08fKHrsaG+sEnNA6EptX1ppncINf/anV6rsFVp%202J8Q7r0z9YQKZMZEz5zr1Qpd7Ynq07tOvBc/FIRLHK/NAmPcJ14JeJx0pcv3nqJ6Y2P6QZzPei1p%20LVDdvCn7wufveJdwlq5S1xfmIAu9mD82zrOxtpjdOLonq0L1Fvsk0me0hdbYmMo5elSZn3n4YoR/%20Z+8qHlyjN9SKZkf16cNm7yVxpuF1zYtPUpl5M6YXuzj2y4BCPdfa5Lrm4YvRvrDVxtg3NITqR12e%20NdNoe8PW8yrjA4f6rmsAD7rRpraevXe5Z50O80L2Zd26dfal+aek5PL879GjR2+//fbHHnvMmvyL%20v/iLCvht27b1Ejh27NjGjRubxfbu3Xv//fc///zz+tOmTZt+/ud//oILLmiWvPXWWz/wgQ/Ew9Vd%20zj333KTCgwcP3nHHHTJSv69fv/78889Xbaq2Wey8886LP6q37dq1Kykmm++555777rvPfj/jjDPO%20Oeeciy++uNmKHTt27N+/339XSDz11FPNVhSaV9jYQl+oFVu3bj1+/LibJ5ft27cPX1TsKqvlC/Wo%20kp5caJ66RElPLo+Lwp5cGBdxTLbe29qTq5tXOEatii8EodC8ZfBF0nulJ1qHax/68nGROFTS5NCh%20Q/mZLu+Loebl4yJxqJZUb7nllox5+bhoThOSy61Ttp+irnkT90XevIn74vDhwy7SzjrrrEcffTQv%20BvKNjbXdeOONu3fv7lU+vfqwq0C/CG/qfa+r90JkSQrER9YiaF3S2U26oRy6NlPT7821jfj4fPNO%20jU4ds2iiea0ZKcnTS03j9UvzgX1VK1HefK978vRS69teB5nX29hBvkieXmrdJQBfmBBsZn30dpVV%209EViW+ttynLzPBPdwkddvdlVBsVFEkGtizHlcVHyLvfq5pXHxcr7QoNeuXnL4It4P7A3u6MkLuKT%20eb35YL2+GGReSVzEzON8IlBJXMQn13sTgeqaN3FflJg3cV/4DdUojVo3vitprCu9mEmfPOk0VA2O%20W3FvSdFGuCcok8cdkoskuc3yCwsd1hX5Xq16VRwr8ztdZLajtgptCzMX6HEgax2kukZhN0+5OvHq%20Ip98P9S83m09hvoin3yPL5IL0UFdZRV9IcepH2rO0L9dwqLcPPVSe6+TPs2rU4vrQXEhjFZb66W4%205fnkF2Ni2NrjNFZh10pBXfMGxcXK+2KQeUvii/Ik78K4KEzyLvRFoXnlcVGYcF8YF57Xmp/Hq5s3%20ZV9omCo0b+K+sORAjQOaLNQfZp8vVKHtA64Kxy3d9mrFXhGOcO9h6M9xqhOb/NUv9hxMnHol3wuT%20nJIdr1WnVtSar4HQJO1prPqi07UupTS3Wrdp3hO5XL77IqLOaFfJrYOUH2hnVxkLy0Rn6BR+MWB5%20Y62XASPMyzR2nC9sRbA1XPHF6K4yBV9kQneceZkKR8RFprYRcZEfp+qaNyIuVtIXdc1bY77I3wEe%20Ghe995OH+iJf4VBf9Jo3KC56a6tr3sR9Ud281fVFfvwc2the5T1jAYT7jABffd9n83a8pHC8TyTW%20vW/kkjV+SHOHUUn/RHC73NSY0vqEUNfOBiqvY5Ori6itu94u0dVj4iYDnlHglxbS961Py40zr6ux%20mR0/8r7Qga2DMr6w1YgRXWUivugK79HmdVU4Li66ahsXF5mxrK554+JixXxR1zx8YY5byelsQeOi%20blepPkbVjYvq5tUdoybuixl1J8J9RoCvHO5iunXVVv07yndfmO86sV+1t6p8u6cT5Xt+dwu/UuxK%20tEo0We+mNL6C0rqCbrcU4+p7fneL6ubhC+9X+KJwEbpK2E48LuqaV3eMYgiNHXVo2OKLSI/prOQ+%20XhVpUT1s645RE5cWM+pOhPuMAF853IdO0VTna80wse2HDHf+ARdJcy8pGdqqKlQmPvKVT7yLaTZd%20W0HHvUjzDxt5PNgNhNZlft8dyXLo84jrmocvEtr4ovcKuUrYTjwu6ppXfYwibEeHLb5oBjjTWeug%20N/GuUneMEoEpS4sZdSfCfUaAPzg8WWZufRo1PjufP2vy/HLXayMKX/CRPDhv2fbNzJDyN8skzxvp%20fkKrfO+6MZe0vbp5+KLZu/BFa8TV7SoTj4u65tUdo+Sdur6oa171MQpfNOOR6WwFxqi6cVE9bOvG%20RfWwrTtGzSI9Ee6z0Ptnx8arfMMqtZRkihfqJ9UbF0o9ZVxDW1xcL5fayQq9L/wneSy9vcEbHG8g%20+OOtirp4PVA4EKvO6ubhC3xhAdgb3nW7ysTjoq55dccou3WZPMPDEGqja+/GBvhCoorpTF2l92VY%20E+8qdceoiUuL3umpq0CvVGNXmRxbe9uWh0ozPVF8bUMVjbye3JJ5x6TV5uq8+VCgJaioNn18L5eu%20NHcNZKrNh7Mk294FtwyzvZDsl640d3sk1J/jbGbb++FmXvKQeJNjXfMm7ovEvLXti6SrTC0u6naV%20icdFdfPqjlF1faFBpq55dceo6r5IzJtxvsAXyXWjzYZMZ825u25XmXdc1J1tZ5/ORut1PxDhPpKh%20ulp85NReP2Trzb7nq8NNvrQun9ieiV4ypo+37rfoJVtf6Wx7JnoZexWUNVWduLm5ZLSw9ZI9eYuK%20p/KbfM/s59q66lnXvIn7ImPe2vOFOlhXV5lCXFTvKlOOi4wvxoVt3TGqui/qmld3jKrui4x5I+YL%20fGGLZePiom5Xmbgvqpu3oEPouOlspNxsHIZwH0ky2efRV699eVv9u3UAbX17qCe9JBI/Frb9Fpv7%20rze3bYnJ9LFC2eypLOp2rZvNtz6Z6kkvsbbkwdmuzeabyfTVzZuyL9S9es1bS77o7SqrGBclvhhk%20Xm9jdcZVjIu65tUdo6r7oq551ceour4oMa98vsAXdmM8zn2rGLa988WgMapuXFTvKisfF3Vn20G+%20GKk12w5DuI+BGR+hsPdjZda//TaQJ5k0T+kr1voisR4XsJvL83Z7NObAJBX6IxR2HyC+Ham5/u33%20vLpy41TAW2fveowXD82jzLaY8DNX8ybui0HmLbovBnWVlY+LQb7oNW9QYz2FY8Xiorp5dceour4Q%203rrmraUhtHe+wBc+wTGd5aVF3a5SfYxaxbDtnS/GCM3uYxDuY3i6UvdrdHVB18clj8TFs/ouSHHn%20xLg/Wpek7jLdhbXnyqsG/7H3OaekWrfEd7FUH40R0lxTzzOta97EfVHXvIn7oq551eMCX4wO24n7%20orp5dceounGh0bWueXXjAl/MMttO3Bd1zZt4XFQ3b4zW7DgG4T4Gpt/MigfH25dRapvMjbvBJKf0%20m1mJpPa7SMmVgPpTfqt1c2pylJ8lyYnX712bu5udbkZy/eAQErO1xp+/0qhr3sR9Ude8ifuirnnV%204wJfxDvdg8J24r6obl7dMapuXMiJdc2rGxf4wm6vmY+GzrYT90Vd8yYeF9XNG6M1Ee4Vqfl1Z7Kd%20i1+iRdHs7u9671Jcooir1/ru939dCvvlgf7UpY+7tnNxs+OcbaGoQ7q2pvFGJbvNuNlxbPIBq/Xd%20bOaCuuZN3Bd1zZu4L+qaVz0u8IWib1zYTtwX1c2rO0bVjYtlG0LxhTw+EWnBEDp6CK2oP/3SXcqt%20q1q2g2whoydX/FZF8rCpjzKuqktyVDzNRnI8PmzaDFf/pXUzGbM17jsZ1+abc7b/ouZkcty9CfHx%20Vp2oeSXgv2TyheqaN3Ff1DVP922m7Ivq5tWNC3xh48O4sJ2yL9SouubVHaOqx0Vd8+rGBb6wKBs3%20207cF3XNm3hcVDevonYnVWYkTM8Wzee3xIc5MtkyCnITZIkcb6bf+Bp81/q92qOjfBrL57d4K2J6%20fZOItyKffhOfNckk81Q3b8q+EMy65k3cF3XNqxsX+MJCO7mPXxi2E/dFXfOqj1F146K6eXXHKHxh%20gZZkkxbOtlP2BUPoLEPoSK3ZdhjCfTxMLX5LHyfHJ1K7RGdbDZo+FedNvRsz3QsvA0y7a1WmKe7j%20nB2X2/NJ8zbZqy3Na484NhUOTPMwb8q+UHvrmjdxX9Q1r25c4IumpCgP24n7oq55DKE2UMd7yExn%20rXKhelepO1/UjQuG0FmG0PFy858fiXCvRfLVelxqx20Tm7utF544Dp1eYdfLTUvqdKnttelLyYGt%20ZeKVgHemrnT5krPUNW/ivqhr3sR9Ude86nGBL0aH7cR9Ud28umNU3biIC71VRvi6cYEvZpltJ+6L%20uuZNPC6qm1eijrwMwn0QrqLCzbdjDN0gMjlN8yUFQzeIjBV6h3PfD90gMjEveWFEJvm+BF9d8ybu%20i+rmTdkXUVK0brlQ0j1imbpxgS+G7uu6QL6o21XqjlHV46KuedXjAl8MHei8/MR9Ud28pZrOBvUK%20hPsgXKWF4zMcQqz/LT2yo1x8iVIzP2do5clLhmeZsHXq+AyHGtv6athBFtY1b+K+qGvexH1R3by6%20cYEvBsVpUnjKvpCpdc2rO0ZVj4u65tWNC3wxS5RN3Bd1zZt4XFQ3r7xjINzLWQ0rWZ45WlKvP+4j%20h/Xmo/dWGJ9tyjzk2luPFyhPvi+ps7p5U/aFgNQ1b+K+qGte3bjAFyXh2VVm4r6oa171MapuXFQ3%20r+4YhS9mCbQp+4IhdBbPlh+LcC9nNbikLXvMrrPtxBrs9GxQfvuXchM1stt9qMxeN+W1qaSaqSSZ%20KpcBqq26eVP2hdpb17yJ+6KueXXjAl8Mivqk8MR9Ude86mNU3biobl7dMQpfzBJoU/YFQ+gsni08%20FuFeCGpkMaUbzpiIEk+sqmbJbm+2YfYcnlinrgFGP4PbyreueRP3RV3zJu6LuuZVjwt8MXK8+/4l%20d90xqq4vqptXd4yqGxdyYl3z8MXouFg2X9TtKhOPi+rm9XazXuG+TlV4Ifuybt06+9L8U1KS/4UA%20BCAAAQhAAAIQgAAEqhDoFeGvqXIaKoEABCAAAQhAAAIQgAAE5koA4T5XvFQOAQhAAAIQgAAEIACB%20OgQQ7nU4UgsEIAABCEAAAhCAAATmSgDhPle8VA4BCEAAAhCAAAQgAIE6BBDudThSCwQgAAEIQAAC%20EIAABOZKAOE+V7xUDgEIQAACEIAABCAAgToEEO51OFILBCAAAQhAAAIQgAAE5koA4T5XvFQOAQhA%20AAIQgAAEIACBOgQQ7nU4UgsEIAABCEAAAhCAAATmSgDhPle8VA4BCEAAAhCAAAQgAIE6BBDudThS%20CwQgAAEIQAACEIAABOZKAOE+V7xUDgEIQAACEIAABCAAgToEEO51OFILBCAAAQhAAAIQgAAE5koA%204T5XvFQOAQhAAAIQgAAEIACBOgQQ7nU4UgsEIAABCEAAAhCAAATmSgDhPle8VA4BCEAAAhCAAAQg%20AIE6BBDudThSCwQgAAEIQAACEIAABOZKAOE+V7xUDgEIQAACEIAABCAAgToEEO51OFILBCAAAQhA%20AAIQgAAE5koA4T5XvFQOAQhAAAIQgAAEIACBOgQQ7nU4UgsEIAABCEAAAhCAAATmSgDhPle8VA4B%20CCw1gR07dqzLfg4ePNhb5tZbb11qiB2Nz4PVX3Vcbxnx9+qPHTt2/fXXb9iwQUfJKfFP8IcABCAw%20EQII94k4AjMgAAEIQGDVCEi1S6zfdtttx48flxH79+8/77zz0O6r5g9ODAEIdBBAuNM1IAABCEBg%202QncdNNNjz76aELhmmuuWXYutB8CEJgYAYT7xByCORCAwFokcODAgZfbPueee+6+ffv8L3v27LHW%20x/K7du1ai0iqtakVrH7UCeKfLrroIjtl/FH87ce9e/fq35NPPvmJJ5547rnnzjzzTP3vkSNHPv3p%20T1czlIogAAEIzEwA4T4zQiqAAAQgAIFFJqCUGMuQufLKK7dt27Zx48bf+Z3fsQY98sgji9wybIcA%20BNYagRbhfsIJJ1grX3zxxbXWXNoDAQhAYJEJKBVbz6pu2bLFHrs866yzbKmYzywEvvKVr9jhUu32%205V3vepd9eeyxx2apmWMhAAEIlBNw4e1SvHlsi3A/9dRTrdwzzzxTfjJKQgACEIDAXAnYA5Qf+MAH%20lMJhJ1Ja9s6dO7UXylzPu+Yr/9a3vmVtfOtb32pftOi+5ltNAyEAgakRcOHtUrxIuJ922mlW7tln%20n51ak7AHAhCAwCIS0BYlza0JpcIHteUP/uAP7AFKpcIrUVvZ2MrJ1v9qL5Rl3v+kdc/HWntoanuZ%20QT6iMAQgAIHRBFx4uxRvVrXOnuCJn8svv/xTn/qUfrn77rvf+973jj49B0IAAhCoReChr3zzc199%20/m+OfadWhdXr+cmNr/+Fn15/4b/dEGuWNM8oPz0uqSdTY3nJTS2o6xc9nOrPTXoB25tcz00eOnTI%20frzxxhu1+n711VdffPHFo1v0nS/sffHxP/7us381uoZ5H/jaU3/mdae/5/XvuiKeyGh0fXRtkzzU%20675oznqt2L3+Zvl5t5f6IQCB5SRwzz33vO9971PbL7vssnvvvbcVQkuqDCvuy9ldaDUEpkxg4qpd%206HRR8bm/en5+DH1N/cILL/Sz3HLLLcpxn0W1q6qJq3ZZ+N1n//LFx++fH1tqhgAEIDAFAiUr7jnh%20fscdd0yhGdgAAQhAYNEJtG4HmSy359voD1C+8Y1vXHQade1v3Q6SPTTrQqY2CEBgBQi48M6kyrQI%2093e84x1m3N///d+vgJWcAgIQgEAvgV94y3rlovQWW8UCr6TKvGX9/AzwByirn0JZKK899aerV1ux%20QpknIytWWF6V7/5efgglIQABCIwj4MLbpXhLPa1rFSeeeKIV/fKXv9z1bgt+hwAEIACBPAGXfV0v%20YEoOb30Bk5X5yEc+YsOyPZnKx+ezQhStL2BK2Aqy/aJ3MFn9OqqwfopBAAIQmIWAJLcNOxLhmXra%20X8B0ySWX2MEPPvjguIsGjoIABCAAgYoEfKfC+S29V7R2sapytocPHzbLv/CFL9iXM844Y7HagrUQ%20gMCCEnDJ7SK8tSHtwv3d7363lX7ggQcWtP2YDQEIQGAtEdAmM7b541133eXt+uhHP6qXfer5VG3x%20vpYau8JtcbYiKe0umL/9279tNpxzzjkrbAyngwAElpOAS24X4WOEu/Yx8KX75eRIqyEAAQjMTqB1%20H3dtODhou/EPfvCDskT7P9pRR48e/b3f+z3peL2D6TOf+czsRi5oDa37uOvHQXvb6/pHzT9+/Pj2%207dtPOeUU2y9/8+bNM+7Ys6BIMRsCEFhhAhLbPmSNEe5a17n00kvN6N27d6+w9ZwOAhCAAASaBK69%209lpt4q7ftde7hKlkpb1CVT+a7uQzmsDNN99sbOPn4x//+OgKORACEIBAOQEX25LfdnO169OeKqPS%20v/Vbv2XH6NbhZz/72fJzUxICEIAABOZBYOPGjdpB8rrrrpNkt/qlNfU8pb+PaR4nXZI6na1NmXom%20tfUdWEtCg2ZCAAIrSUAyW2Lbzujyu8uAljenetFf+7Vf+9jHPqb/veCCCx566KGVbAPnggAEIAAB%20CEAAAhCAwJonoNfqWbrjr/7qr/7hH/5hvr054f7UU0+95S1vsePvvvvu9773vWueHQ2EAAQgAAEI%20QAACEIDAyhC455573ve+99m5vvrVr27dujV/3s5UGR2mg3/zN3/TjtdFwJe+9KWVaQNngQAEIAAB%20CEAAAhCAwNomIGktgW1tlOTuVe0qlltx15/1iP073/nOr33ta/qu1zg98sgj/m6mtY2S1kEAAhCA%20AAQgAAEIQGBOBPSeVO1Fa6+P2LJlyxe/+MX8Y6lmRm7FXX9WFX/0R3/0mte8UkyXBVdfffWcrKda%20CEAAAhCAAAQgAAEILAkBiWpT7ZLZEtslqr1fuKvEz/3cz6k6g3jfffedddZZSwKUZkIAAhCAAAQg%20AAEIQKA6AclpiWqrVjJbYrvwFD0r7lbLVVdd9aEPfci+67UUl112mZb3C09AMQhAAAIQgAAEIAAB%20CEBABCShJaTtLW/6SGBLZpeT6clxjxUpfd7fRrFt2zZdHyjrvfxMlIQABCAAAQhAAAIQgMDSElDa%20+a/8yq/4di/XXHONbbxe/ilacbfqVLWvuysp55xzztEWNuVnoiQEIAABCEAAAhCAAASWk4Bks8Sz%20q3aJ6qGqXdwGrLgb5U9+8pPKpv/e975n/6t3M+klT+eff/5y+oBWQwACEIAABCAAAQhAIENA70b9%203d/9XXvLkj72NOqgDBmvfLBw15F/9md/Ju1ue0Ta58orr7zhhhve/va34zYIQAACEIAABCAAAQhA%20QAS+/OUv7969e+/evU5DOz8Oeho1wThGuKsK7e8uO37/938/VqfdKC+55JJ3v/vdb3vb2/AWBCAA%20AQhAAAIQgAAElpDAk08++eCDDz7wwAMHDx6MzddblrTSXbjzYyu3kcLd6nrqqae08t9M0JFw13ua%20fvmXf/nUU0897bTT7N/Xve51S+g5mgwBCEAAAhCAAAQgsFYJvPjii88888yzzz5r/95xxx3aN0bC%20PWmvtnhRbnnJu1F7QL0880eZM5deeula9QftggAEIAABCEAAAhCAwDgCEsmSyjPL7R9U8EO1Kvrm%20N7/5iU98QsnuWmsf1zCOggAEIAABCEAAAhCAwKITkBiWJJYwljyupbStnplSZbqwKq1Hm93olkG8%20d/DSSy8tuhuwHwIQgAAEIAABCEAAAk7ghBNOiJnhSg7Xa470wOecEM1FuM/JVqqFAAQgAAEIQAAC%20EIDA0hIY8AKmpWVEwyEAAQhAAAIQgAAEILDqBBDuq+4CDIAABCAAAQhAAAIQgEA/AYR7PyNKQAAC%20EIAABCAAAQhAYNUJINxX3QUYAAEIQAACEIAABCAAgX4CCPd+RpSAAAQgAAEIQAACEIDAqhNAuK+6%20CzAAAhCAAAQgAAEIQAAC/QQQ7v2MKAEBCEAAAhCAAAQgAIFVJ4BwX3UXYAAEIAABCEAAAhCAAAT6%20CSDc+xlRAgIQgAAEIAABCEAAAqtO4P8BrY7b+26+ZnwAAAAASUVORK5CYII=" height="559" width="1000" overflow="visible"> </image>
            </svg>
          </div>
        </div>
        <div class="fig"><span class="labelfig">FIGURA 5.&nbsp; </span><span class="textfig">Comportamiento de la ET<sub>0</sub> y la ETc para la serie 2020-2050 en Ceiba Mocha.</span></div>
        <p> Cuando se analizan los valores de coeficientes global de cultivo (Kc) 
          para la zona de estudio teniendo en cuenta los valores de ET<sub>0</sub> y ETc obtenidos del estudio anterior, los mismos están en el rango de 
          0,92 y 0,94 como promedio de 0,93 muy similar al obtenido por <span class="tooltip"><a href="#B5">Cisneros, Rey, et al. (2015)</a><span class="tooltip-content">Cisneros,
          Z. E., Rey, G. R., Martínez, V. R., López, S. T., &amp; González, R. F.
          (2015). Evapotranspiración y coeficientes de cultivo para el cafeto en 
          la provincia de Pinar del Río. <i>Revista Ciencias Técnicas Agropecuarias</i>, <i>24</i>(2), 23-30, ISSN: 1010-2760, e-ISSN: 2071-0054.</span></span>, para la zona de San Andrés Pinar del Río de 0,86 para cafeto en producción y regado con un sistema de Riego Localizado.</p>
      </article>
      <article class="section"><a id="id0xbc54500"><!-- named anchor --></a>
        <h4>Demanda
          de riego del cafeto en función de las probabilidades de ocurrencia de 
          precipitaciones para el escenario climático RCP 4.5</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <p> En la <span class="tooltip"><a href="#t4">Tabla 4</a></span> se puede apreciar el comportamiento la evapotranspiración del cultivo 
          (ETc) en función del año hidrológico para la serie estudiada donde el 
          mayor valor se tiene en el año 2040 con 1518,0 mm y el menor consumo en 
          el año 2021 con 1264,2 mm. La estrategia de riego obtenida a través de 
          la programación permite garantizar que la reducción en el rendimiento no
          sea superior al 3%.</p>
        <div class="table" id="t4"><span class="labelfig">TABLA 4.&nbsp; </span><span class="textfig">Distribución de la norma neta total, neta parcial y reducida para cada sitio en función del año hidrológico</span></div>
        <div class="contenedor">
          <div class="outer-centrado">
            <div style="max-width: 1160px;" class="inner-centrado">
              <table>
                <colgroup>
                <col>
                <col>
                <col>
                <col span="2">
                <col span="2">
                <col span="2">
                <col>
                </colgroup>
                <thead>
                  <tr>
                    <th rowspan="2" align="center">Sitio</th>
                    <th rowspan="2" align="center">Años analizados</th>
                    <th rowspan="2" align="center">ETc (mm)</th>
                    <th colspan="2" align="center">Norma neta total (mm) </th>
                    <th colspan="2" align="center">Norma neta parcial (mm) </th>
                    <th colspan="2" align="justify">No. de riegos </th>
                    <th align="center">Reducción Rendimiento. (%)</th>
                  </tr>
                  <tr>
                    <th align="center">SR</th>
                    <th align="center">CR</th>
                    <th align="center">SR</th>
                    <th align="center">CR</th>
                    <th align="center">SR</th>
                    <th align="center">CR</th>
                    <th align="center"> </th>
                  </tr>
                </thead>
                <tbody>
                  <tr>
                    <td rowspan="31" align="center">Ceiba Mocha Matanzas</td>
                    <td align="center">2020</td>
                    <td align="center">1351,4</td>
                    <td align="center">384,9</td>
                    <td align="center">247,7</td>
                    <td align="center">29,6</td>
                    <td align="center">4,93</td>
                    <td align="center">13</td>
                    <td align="center">6</td>
                    <td align="center">1,1</td>
                  </tr>
                  <tr>
                    <td align="center">2021</td>
                    <td align="center">1264,2</td>
                    <td align="center">95,8</td>
                    <td align="center">40,2</td>
                    <td align="center">31,9</td>
                    <td align="center">31,93</td>
                    <td align="center">3</td>
                    <td align="center">1</td>
                    <td align="center">0,5</td>
                  </tr>
                  <tr>
                    <td align="center">2022</td>
                    <td align="center">1311,5</td>
                    <td align="center">320,8</td>
                    <td align="center">145,5</td>
                    <td align="center">32,1</td>
                    <td align="center">10,69</td>
                    <td align="center">10</td>
                    <td align="center">3</td>
                    <td align="center">0,9</td>
                  </tr>
                  <tr>
                    <td align="center">2023</td>
                    <td align="center">1311,1</td>
                    <td align="center">813,6</td>
                    <td align="center">557,4</td>
                    <td align="center">37,0</td>
                    <td align="center">3,08</td>
                    <td align="center">22</td>
                    <td align="center">12</td>
                    <td align="center">2,6</td>
                  </tr>
                  <tr>
                    <td align="center">2024</td>
                    <td align="center">1363,1</td>
                    <td align="center">417,3</td>
                    <td align="center">140,4</td>
                    <td align="center">32,1</td>
                    <td align="center">10,70</td>
                    <td align="center">13</td>
                    <td align="center">3</td>
                    <td align="center">1,0</td>
                  </tr>
                  <tr>
                    <td align="center">2025</td>
                    <td align="center">1390,9</td>
                    <td align="center">645,0</td>
                    <td align="center">281,9</td>
                    <td align="center">32,3</td>
                    <td align="center">5,38</td>
                    <td align="center">20</td>
                    <td align="center">6</td>
                    <td align="center">1,5</td>
                  </tr>
                  <tr>
                    <td align="center">2026</td>
                    <td align="center">1319,7</td>
                    <td align="center">318,6</td>
                    <td align="center">147,1</td>
                    <td align="center">31,9</td>
                    <td align="center">10,62</td>
                    <td align="center">10</td>
                    <td align="center">3</td>
                    <td align="center">0,9</td>
                  </tr>
                  <tr>
                    <td align="center">2027</td>
                    <td align="center">1302,1</td>
                    <td align="center">320,1</td>
                    <td align="center">241,3</td>
                    <td align="center">32,0</td>
                    <td align="center">6,40</td>
                    <td align="center">10</td>
                    <td align="center">5</td>
                    <td align="center">1,3</td>
                  </tr>
                  <tr>
                    <td align="center">2028</td>
                    <td align="center">1475,8</td>
                    <td align="center">621,9</td>
                    <td align="center">239,6</td>
                    <td align="center">32,7</td>
                    <td align="center">6,55</td>
                    <td align="center">19</td>
                    <td align="center">5</td>
                    <td align="center">2,3</td>
                  </tr>
                  <tr>
                    <td align="center">2029</td>
                    <td align="center">1321,4</td>
                    <td align="center">320,0</td>
                    <td align="center">188,2</td>
                    <td align="center">32,0</td>
                    <td align="center">6,40</td>
                    <td align="center">10</td>
                    <td align="center">5</td>
                    <td align="center">1,0</td>
                  </tr>
                  <tr>
                    <td align="center">2030</td>
                    <td align="center">1392,0</td>
                    <td align="center">485,9</td>
                    <td align="center">322,1</td>
                    <td align="center">32,4</td>
                    <td align="center">4,63</td>
                    <td align="center">15</td>
                    <td align="center">7</td>
                    <td align="center">1,5</td>
                  </tr>
                  <tr>
                    <td align="center">2031</td>
                    <td align="center">1366,0</td>
                    <td align="center">409,5</td>
                    <td align="center">47,7</td>
                    <td align="center">31,5</td>
                    <td align="center">31,50</td>
                    <td align="center">13</td>
                    <td align="center">1</td>
                    <td align="center">0,9</td>
                  </tr>
                  <tr>
                    <td align="center">2032</td>
                    <td align="center">1387,2</td>
                    <td align="center">484,9</td>
                    <td align="center">281,7</td>
                    <td align="center">32,3</td>
                    <td align="center">5,39</td>
                    <td align="center">15</td>
                    <td align="center">6</td>
                    <td align="center">1,4</td>
                  </tr>
                  <tr>
                    <td align="center">2033</td>
                    <td align="center">1431,1</td>
                    <td align="center">517,5</td>
                    <td align="center">240,1</td>
                    <td align="center">32,3</td>
                    <td align="center">6,47</td>
                    <td align="center">16</td>
                    <td align="center">5</td>
                    <td align="center">1,5</td>
                  </tr>
                  <tr>
                    <td align="center">2034</td>
                    <td align="center">1343,6</td>
                    <td align="center">414,7</td>
                    <td align="center">277,2</td>
                    <td align="center">31,9</td>
                    <td align="center">5,32</td>
                    <td align="center">13</td>
                    <td align="center">6</td>
                    <td align="center">1,4</td>
                  </tr>
                  <tr>
                    <td align="center">2035</td>
                    <td align="center">1431,8</td>
                    <td align="center">509,4</td>
                    <td align="center">237,0</td>
                    <td align="center">31,8</td>
                    <td align="center">6,37</td>
                    <td align="center">16</td>
                    <td align="center">5</td>
                    <td align="center">1,0</td>
                  </tr>
                  <tr>
                    <td align="center">2036</td>
                    <td align="center">1338,4</td>
                    <td align="center">377,6</td>
                    <td align="center">231,7</td>
                    <td align="center">31,5</td>
                    <td align="center">6,29</td>
                    <td align="center">12</td>
                    <td align="center">5</td>
                    <td align="center">1,4</td>
                  </tr>
                  <tr>
                    <td align="center">2037</td>
                    <td align="center">1345,4</td>
                    <td align="center">385,0</td>
                    <td align="center">189,8</td>
                    <td align="center">32,1</td>
                    <td align="center">8,02</td>
                    <td align="center">12</td>
                    <td align="center">4</td>
                    <td align="center">1,3</td>
                  </tr>
                  <tr>
                    <td align="center">2038</td>
                    <td align="center">1375,6</td>
                    <td align="center">545,9</td>
                    <td align="center">222,1</td>
                    <td align="center">32,1</td>
                    <td align="center">6,42</td>
                    <td align="center">17</td>
                    <td align="center">5</td>
                    <td align="center">1,5</td>
                  </tr>
                  <tr>
                    <td align="center">2039</td>
                    <td align="center">1402,2</td>
                    <td align="center">582,2</td>
                    <td align="center">324,3</td>
                    <td align="center">32,3</td>
                    <td align="center">4,62</td>
                    <td align="center">18</td>
                    <td align="center">7</td>
                    <td align="center">1,5</td>
                  </tr>
                  <tr>
                    <td align="center">2040</td>
                    <td align="center">1518,0</td>
                    <td align="center">815,1</td>
                    <td align="center">469,5</td>
                    <td align="center">34,0</td>
                    <td align="center">3,40</td>
                    <td align="center">24</td>
                    <td align="center">10</td>
                    <td align="center">1,8</td>
                  </tr>
                  <tr>
                    <td align="center">2041</td>
                    <td align="center">1404,7</td>
                    <td align="center">487,4</td>
                    <td align="center">333,1</td>
                    <td align="center">32,5</td>
                    <td align="center">4,64</td>
                    <td align="center">15</td>
                    <td align="center">7</td>
                    <td align="center">1,5</td>
                  </tr>
                  <tr>
                    <td align="center">2042</td>
                    <td align="center">1380,4</td>
                    <td align="center">513,8</td>
                    <td align="center">280,2</td>
                    <td align="center">32,1</td>
                    <td align="center">5,35</td>
                    <td align="center">16</td>
                    <td align="center">6</td>
                    <td align="center">1,2</td>
                  </tr>
                  <tr>
                    <td align="center">2043</td>
                    <td align="center">1340,7</td>
                    <td align="center">291,6</td>
                    <td align="center">147,5</td>
                    <td align="center">32,4</td>
                    <td align="center">10,80</td>
                    <td align="center">9</td>
                    <td align="center">3</td>
                    <td align="center">0,9</td>
                  </tr>
                  <tr>
                    <td align="center">2044</td>
                    <td align="center">1370,9</td>
                    <td align="center">417,4</td>
                    <td align="center">143,8</td>
                    <td align="center">32,1</td>
                    <td align="center">10,70</td>
                    <td align="center">13</td>
                    <td align="center">3</td>
                    <td align="center">1,3</td>
                  </tr>
                  <tr>
                    <td align="center">2045</td>
                    <td align="center">1387,3</td>
                    <td align="center">325,4</td>
                    <td align="center">135,3</td>
                    <td align="center">32,5</td>
                    <td align="center">10,85</td>
                    <td align="center">10</td>
                    <td align="center">3</td>
                    <td align="center">1,1</td>
                  </tr>
                  <tr>
                    <td align="center">2046</td>
                    <td align="center">1400,3</td>
                    <td align="center">430,2</td>
                    <td align="center">276,9</td>
                    <td align="center">33,1</td>
                    <td align="center">5,52</td>
                    <td align="center">13</td>
                    <td align="center">6</td>
                    <td align="center">1,5</td>
                  </tr>
                  <tr>
                    <td align="center">2047</td>
                    <td align="center">1453,9</td>
                    <td align="center">556,6</td>
                    <td align="center">192,7</td>
                    <td align="center">32,7</td>
                    <td align="center">8,19</td>
                    <td align="center">17</td>
                    <td align="center">4</td>
                    <td align="center">1,3</td>
                  </tr>
                  <tr>
                    <td align="center">2048</td>
                    <td align="center">1466,9</td>
                    <td align="center">714,3</td>
                    <td align="center">290,2</td>
                    <td align="center">32,5</td>
                    <td align="center">5,41</td>
                    <td align="center">22</td>
                    <td align="center">6</td>
                    <td align="center">1,9</td>
                  </tr>
                  <tr>
                    <td align="center">2049</td>
                    <td align="center">1423,4</td>
                    <td align="center">548,4</td>
                    <td align="center">236,2</td>
                    <td align="center">32,3</td>
                    <td align="center">6,45</td>
                    <td align="center">17</td>
                    <td align="center">5</td>
                    <td align="center">1,2</td>
                  </tr>
                  <tr>
                    <td align="center">2050</td>
                    <td align="center">1485,2</td>
                    <td align="center">798,4</td>
                    <td align="center">332,0</td>
                    <td align="center">31,9</td>
                    <td align="center">4,56</td>
                    <td align="center">25</td>
                    <td align="center">7</td>
                    <td align="center">1,5</td>
                  </tr>
                </tbody>
              </table>
            </div>
          </div>
        </div>
        <div class="clear"></div>
        <div class="table">
          <p class="textfig"><b> <i>Leyenda:</i></b> <i>SR: Sin reducción; CR: Con Reducción</i> <br>
          </p>
        </div>
        <p> En la misma tabla se muestra que las normas netas 
          totales variaron en función del año, teniéndose valores que van desde 
          los 95,8 mm anuales hasta los 815,1 mm anuales. La norma neta total 
          reducidas en correspondencia con los años, estuvo en el rango de 40,2 mm
          y los 469,5 mm anuales. </p>
        <p> La norma neta parcial alcanzó valores que van desde 296,1 m<sup>3</sup> ha<sup>-1</sup> a 369,8 m<sup>3</sup> ha<sup>-1</sup> valores muy similares a los obtenidos por <span class="tooltip"><a href="#B3">Cisneros et al. (2006)</a><span class="tooltip-content">Cisneros, E., Rey, R., Zamora, E., &amp; González, F. (2006). Influencia del manejo del riego en el rendimiento del cafeto. <i>Revista Ciencias Técnicas Agropecuarias</i>, <i>15</i>(2), 42-46, ISSN: 1010-2760, e-ISSN: 2071-0054.</span></span> regando el cafeto en la zona de San Andrés Pinar del Rio con sistema de
          riego localizado con micro aspersión bajo el principio de cobertura 
          total donde informa valores de 250,0 m<sup>3</sup> ha<sup>-1</sup>. </p>
        <p> Del análisis se puede estimar que las necesidades hídricas del cafeto 
          para un año húmedo (2043) es de 291,6 mm anuales, para un año medio 
          (2020) de 384,9 mm anuales y para un año seco (2025) de 645,0 mm anuales
          los que pueden considerarse como confiables para la planificación de 
          los recursos hídricos en la zona de estudio asumiendo el escenario RCP 
          4.5. </p>
        <p> En la <span class="tooltip"><a href="#f6">Figura 6</a></span> puede observarse la correspondencia entre las precipitaciones y las 
          normas netas necesaria aplicar como suplemento de las mismas para 
          satisfacer las necesidades hídricas del cafeto, en el año 2023 es donde 
          se produce la menor precipitación con 729,64 mm y la mayor norma parcial
          con 813,6 mm, mientras que en los años 2042-2046 las precipitaciones 
          son abundantes y se tienen las menores normas netas parciales. Lo 
          anterior está en función de la distribución mensual de las lluvias lo 
          que confirma la fiabilidad del modelo <i>CropWat</i> para estimar las necesidades de riego a futuro. Similar comportamiento ha sido informado por <span class="tooltip"><a href="#B12">González-Robaina et al. (2018)</a><span class="tooltip-content">González-Robaina,
          F., Ajalla, R., Díaz-Pérez, Y., Herrera-Puebla, J., López-Seijas, T., 
          &amp; Cid-Lazo, G. (2018). Simulación del efecto del estrés hídrico en 
          el cultivo del sorgo en suelo Ferralítico Rojo. <i>Ingeniería Agrícola</i>, <i>8</i>(1), 3-12, ISSN: 2306-1545, e-ISSN: 2227-8761.</span></span> trabajando con el modelo <i>AquaCrop</i>.</p>
        <div id="f6" class="fig">
          <div class="zoom">
            <svg xml:space="preserve" enable-background="new 0 0 500 283.056" viewBox="0 0 500 283.056" height="283.056px" width="500px" y="0px" x="0px"  version="1.1">
              <image transform="matrix(0.4897 0 0 0.4897 0 0)" 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DlKGDQx3%20eUx+P+ajcGQxTYTTbDEU20PN76xcuVL+NJ/BJl6jrIKrQIh8l+bHVepA683tnyCekWF7K3a+du3a%201XzVhg0b5M/y8nKf2tauXSuS6mrLn/3795cXlrvTMgJ91mIX80lvzZo15mt9tktyckmx9G9og3kh%20CZAACZAACRQDgUDevP9JgqJzccn84IX3DF9u48aNeNpv3haIWYp7Dg/UCz/Qkq9cHLzQUT2OBsvx%20XnaHU1cn3ZsZm4Pkh3bkMln0+82PV3bu3Il8TLKubynq4Mr7jic1mC/xFPDJyGe/WrThnoYj269f%20P2T7wS1uOU/Osjrux5J0sw6fHrafKihDAiRAAiRAAiSQRwTM3vxbb73lYrl5kqD59e3yPl0y/4hQ%20L572w7c25ybRHZuiRyrVHP/w3+6++25zFINESTiG69j3N+JCOGBYdTXnb5SKNIBcwkNQI0L8/bel%20qCSz6Pf75GhxcNWTdgxpgk7Ho5t91vXuu++qZIhDZHEJEmLKYwfMcXGfYT5jrjqEs54uNinEFMIn%20BIqRAAmQAAmQAAkkmYDZm5dzeFyKThI8JTNpsqa5lAQnWmDq1KlTXTRLjn8N+jWHA8nuYfP6r8Zj%20awCFakaiEThgWHW152YUGTw0ePDBB+U1UGj69UxaXXjX5t7vtzDVYPR0frmngEsnmc+J0PgZz10B%205ntOnjZg/yvmuPbHUhqg5t9r16dO5jkJqtAAm0AB/Qm8QTUuK4G20SQSIAESIAESSCYBc/IcdwvN%20k4TstUUTxWDLosVDMwf3OhoACzXjEJ4J6KFGEup8yimn6FWXXHKJvL7rrrssteBZgfzL5ShSxEJr%206BFmCJYnAxpZnT1KydecOL9fp32aQdLyZOeiiy4SrOYUk0gjhQOnPA+HMh8cqzmqzj77bJ/9pNMG%20XdfXGuXuxExAHkfo4cR4jYdNCHCyjxOpVB9vzZkzR83AnSoPyzCpDRePJKo0sabPBmZDTGZKnpvu%20s1E1dZIACZAACZBAnhII5M37nyT4pKFLohpvg3ckigZf63qypyTNvPPOO0Vtnz590umHI6SewG23%203SZiEtxvXt/UvCZY2tdzUeEU4XJNEILGurQCZwlrYMjMmTPNkpknCfVJL8liifP79d7FgyTcbbil%20kN5enuzIoyXMBaVHcd/ITA6PcnA3IP38xRdf7M4aekQJNMttClXnnXee+1UyQ0BdekNj/gDD8M41%2011xjvnfxWnbWoyJ5wAQZzFkxDUCee0sufLkQc1N5YgVHXw4TwCX6DOtb3/pWJndPzvfU6lTb/0OV%20TNrLa0mABEiABEigYAj49+YDTRL88HHcAqvxPHC6sNER+VeQ3QRZ/GWBD7OCdKkLpUZ19+EjyWIo%20XsANsyQsQTyFuHmoZdiwYagFi5i6nIqAC3ePwhIiZV7yR+5HqJUl0aItifP7ZZ84+gO3Efobt5TE%20q+EmkPfRo/JCDorCDYEpgfTfvffe696RePoDbbgEmuU2hap0C+o6MYV+XIKEm7ihdcsIDEPtuCn1%20BpIlfzlHGi/kKjlcTMaD47Zm/Atxb3IJbFO1+BPb3jPc4a5xcp5HZ2dpAOgx0VGlIcqSnVRLAiRA%20AiRAAkkjEMib9z9J8NNMzX+owRG4Cl6QOYGPWQ+cNI2tT6cfLo15yX/FihWQtKcahx+IBOuOmzlx%20uSZSd2mFGYV5yV/9MT8EClUmcX4/QMM/xpZZXfOG64z7DB62zvAggOxRevfg5oAAcja5TzSh+fLL%20L8eF4qnD1cbrdL44BOCqwvOWO0+de2QlMh88DA3f+9735OaQ5XyMUsjAHr1EzrKWDLWORS7Btne9%20BFWAgIttPm9HRWTfH+NTQ4Zi+nnh+VAlw4p4OQmQAAmQAAkUHgH/3nygSYInKI1btsTEY7VUPDT1%20y+HkwIFBWk8/C3yaWxMu+He+8x2YYT5YSa2CKnh9WNo3u1JwyeAseVounphWhBVVWfLXBdALL7zQ%20j5JClSlB2hxL27BKLe/Y/5WnFBByI88EcLNmuIKedwQQ6iNHbNgT2cbQFkxd8GwO41YerrGQAAmQ%20AAmQAAnkBQHEHsNpLphvcOxDQEgSyMMpKuzYY3c3Ponr/XkxHvLFyGuvvRam6t75mM1esmQJatRH%20IjHXzupIgARIgARIgATCEUCIhHjJnklTwumP+SrEDqFGPKkobKffkyr9fk9E+S0gKbGwmSH+cbtw%204ULZRKFpufIbJa0nARIgARIggaIhgPgICbN58cUX873R2IEpO4OvuuqqfG9LhvbT788QYNIvx7xW%20duH8/ve/j9nWp59+GjWi9kxSkcZsM6sjARIgARIgARIQApJ033PDbvJxyQ5MTGM8N4Imvy0ZWki/%20P0OAeXD5xIkTYWVWj/GzU8DcGsFF2PeDTLp5wIgmkgAJkAAJkAAJHEkAm/QkdWH8IQPRdoUckWQ+%20KCla/XmkrSj29eZRf9BUEiABEiABEiABEiABEghHgPt6w3HjVSRAAiRAAiRAAiRAAiRQOAQY51M4%20fcmWkAAJkAAJkAAJkAAJkEA6AvT7eW+QAAmQAAmQAAmQAAmQQOEToN9f+H3MFpIACZAACZAACZAA%20CZAA/X7eAyRAAiRAAiRAAiRAAiRQ+ATo9xd+H7OFJEACJEACJEACJEACJEC/n/cACZAACZAACZAA%20CZAACRQ+Afr9hd/HbCEJkAAJkAAJkAAJkAAJ0O/nPUACJEACJEACJEACJEAChU+Afn/h9zFbSAIk%20QAIkQAIkQAIkQAL0+3kPkAAJkAAJkAAJkAAJkEDhE6DfX/h9zBaSAAmQAAmQAAmQAAmQAP1+3gMk%20QAIkQAIkQAIkQAIkUPgE6PcXfh+zhSRAAiRAAiRAAiRAAiQQpd8/Y8aMXr16lZSUdO7c+dZbb92x%20Y4eF78KFCwcOHCgCEA4hAIWeSoJWypuABEiABEiABEiABEiABEIQUL8U/u2YMWO2bNliUQJ3d8KE%20CXB9ITBixIhly5YFFQhhVdpL6m1FRe3/cnln/PjxljoGDBhglp87d65FYPjw4YEEIOypxGJhUPlA%20TaYwCZAACZAACZAACZBA0RK4//77Lc5tp06d1q1bp0C2b98Of9gis3TpUv8CQdm6u/FGJH4/GuA4%20sQAO0b9582ZHAfjlPgX8KLG0xbPSoCgpTwIkQAIkQAIkQAIkQAIgkM777dmzp/KxL4vDHw4kEBS1%20u98fTZzPY489JtWIH6+znwcffFDef+aZZ+QF2g8BXYa/++67fQr4UWKZWnhWGuVzE+oiARIgARIg%20ARIgARIoGgLq/Ypzi2kAFvvReqw7I/hHMMybNw+/5SGArv0HEogYZyTr/fIIwxzYo1aKfoT0yDto%20qryjTz1AwY+ATxlzczwrDTqFojwJkAAJkAAJkAAJkAAJgACW7cW5FVfWvK6tMwERkD9RFixYIO/c%20csst+FOfGKQTCMHZ4oFbNESz3r9q1SroxW+pTDfsKpGVK1fKdKdHjx4ic/7558uL119/Hb89BXzK%20aGtDyJuv5WsSIAESIAESIAESIAESSEdA48m7dOkiMt27d5cX4hJv2LBB/uzbt6+8GDx4sLxYs2aN%20H4HI4Ufj95vNgtM/efJkeefaa6+VFxUVFfg9aNAglSwvLzdf5SngR4mFjh+dkQOlQhIgARIgARIg%20ARIggWImsHr1ajR/9+7dAqF3797yQmcI8qenQOQMI/b7kZyoa9eus2fPhqGI5Ln66qs9LX7hhRfc%20ZTwFcLkfGXMtQeU9W0EBEiABEiABEiABEiCB4iEg0fwoGueyZ88en81fvHixu6SngM+KLGIR+/1m%207VOnTrVMa8KZyKtIgARIgARIgARIgARIIFEENGQdcS5w/ZG5f8qUKYmy0G5MCeLyLe/iWAF5x/4v%20z8bgNK5JkyapGBL7XHfddfhTdGKj7aJFi+S/Kjl9+vSbb77ZU8CPEseGuFTq2RwRUCAW+TfffNOn%20BoqRAAmQAAmQAAmQAAkkh8BJJ53kaIx/7xdBLsOGDUvXIuhRXxf7d4cOHWrxKv0IhMDl7sZHvN5/%20ySWXoBnIVSTPPsaNG2c/tyxEG5J5Sbo7JpnW0ioSIAESIAESIAESIAEQiMSFgytvSc+vkT/JhWzP%20EKS2hkgepJdoCn8s5+vMyXxAL96XiuTQMnntIuBTxmyzH52h2yjKQ19uubCurg5PD/71r39RYWgC%200TKMVhsaFbnC2tpa3DMbN24MTcxyIRVmTrLYGBZbe3GHJL/JNTU1+GTYtGlT5vezaKDCzElGyzBa%20bcXZxepSZt650ACPV9JXYl8rFr7NXrTF15XqzN6pp0AIC93d+IjX+7Uy3bks78gESJJ1StEtzD4F%20/ChR5f51Wi7hnyRAAiRAAiRAAiRAAiTgkwAC2mWmjdydmsdTjpDS3JWa0FN3AItyTwGfNvgXi8bv%20RywRSq9evbRibaG8Ixk8kVhTw36WLFki/zr55JP9CPiUMbfcs1L/mChJAiRAAiRAAiRAAiRAAkpg%20woQJ4gAj0F/efOaZZ+RF//798VsXwdevXy/vr1ixIpBA5LSj8fvl8F2cX/DAAw/gBZr3gx/8QGzt%2006cPfl900UXy58yZM/EbpxZLZlNcKDl/PAV8ypgB+dEZOVAqJAESIAESIAESIAESKHgCZ599trTx%20F7/4heTzue222+SdL37xi/iNDQAS8AK/F74xZDThz5AhQ/wIRM4wGr//pptuEsuwkRfznn79+smZ%20WXDrR44ciRfnnXeeCCC1PwQuu+wy+VMv9BTwowT7ps0TLz86IwdKhSRAAiRAAiRAAiRAAgVPQP3M%20+fPn4/QqRPnLCb4I8tHsPWPGjME78IrhG0NGVr0hKe4xiqdAtBij8fthtGVHM6zEFOfBBx8Uc3v0%206DF37lyL6eAirfUj4FPGXIVnpdGipDYSIAESIAESIAESIIEiIYCIFd2Yq02GT//oo4/qn9OmTZOg%20GHOZM2eOf4FoYUbj98OmWbNmofGyoxkeP6YByDTSt29fNRcu/oIFC6TxEICwmQve9BTwKWMG5Edn%20tECpjQRIgARIgARIgARIoBgI4AQqzecj3i8i+M2n1uI1jq7C+xLwgyVvcy5/vOMpEC3GiM/tita4%20JGuTYxE0H1OGpkIPpknQeeKJJ2aoSi6nwgwxJh8gEoMigUCzZs3M++kzaTUVZkJPri02hsXW3rzo%20YmQaRaRBaWmpLMNlXqgwaQzZI5n3CDRE68VFYlJUSmI9tysqo6mHBEiABEiABEiABEiABEggQgKR%20xflEaBNVkQAJkAAJkAAJkAAJkAAJREuAfn+0PKmNBEiABEiABEiABEiABJJIgH5/EnuFNpEACZAA%20CZAACZAACZBAtATo90fLk9pIgARIgARIgARIgARIIIkE6PcnsVdoEwmQAAmQAAmQAAmQAAlES4B+%20f7Q8qY0ESIAESIAESIAESIAEkkiAfn8Se4U2kQAJkAAJkAAJkAAJkEC0BOj3R8uT2kiABEiABEiA%20BEiABEggiQTo9yexV2gTCZAACZAACZAACZAACURLgH5/tDypjQRIgARIgARIgARIgASSSIB+fxJ7%20hTaRAAmQAAmQAAmQAAmQQLQE6PdHy5PaSIAESIAESIAESIAESCCJBOj3J7FXaBMJkAAJkAAJkAAJ%20kAAJREuAfn+0PKmNBEiABEiABEiABEiABJJIgH5/EnuFNpEACZAACZAACZAACZBAtATo90fLk9pI%20gARIgARIgARIgARIIIkE6PcnsVdoEwmQAAmQAAmQAAmQAAlES4B+f7Q8qY0ESIAESIAESIAESIAE%20kkiAfn8Se4U2kQAJkAAJkAAJkAAJkEC0BOj3R8uT2kiABEiABEiABEiABEggiQTo9yexV2gTCZAA%20CZAACZAACZAACURLgH5/tDypjQRIgARIgARIgARIgASSSIB+fxJ7hTaRAAmQAAmQAAmQAAmQQLQE%206PdHy5PaSIAESIAESIAESIAEioXAsmXLxowZU9JQevXqNWPGjB07dpgbjz8nTJjQuXNnCIwYMQLy%20FjSeAhGipN8fIUyqIgESIAESIAESIAESKBYCCxcuHDZs2Pz586XBmzdvnjRp0hVXXKHth08PX3/2%207NkVFRV4c/HixZA3u/6eAtGipN8fLU9qIwESIAESIIGMCFTX1Dr+ZKSUF5MACWSBwJVXXmnXCud+%203rx58v7kyZNXr15tkRk7dqy+4ykQrdX0+6PlWVza0n051dfXFxcItpYESIAEIiJQsXt/2YnXtDrp%20m/af9r3HRVQJ1ZAACURAAMv2sorfqVOndevWwfkZP3686H3qqafkhUwARGD79u0DBgzAn3gsgAcF%20PgUiMNSkgn5/tDyLSNvBQ1XpvpxanXRtEYFgU0mABEggUgIty5rX1dXbf2rruKQSKWgqI4GICMDd%2079u3L5RdfvnlonLXrl34rRMDbACAQJcuXaZOnSoCy5cv9yMQkYGH1dDvjxxpESlsXtrM8cuprq6u%20iCiwqSRAAiRAAiRAAkVMQFb9zaVHjx74c8OGDfKmzApQBg8eLC/WrFnjRyByqPT7I0dKhSRAAiRA%20AiRAAiRAAgVOYOjQoT179kQjsW33gQcewOr+jTfeKG2Whf/du3fLn71795YXWPI3Q/EUiJwg/f7I%20kVIhCZAACZAACZAACZBA4RN44oknxPUfN24cEvXIFt65c+diSuDeeOz9zVAgHFz6/eG48SoSIAES%20IAESIAESIIE8JlDtVAK1BwE8559/vvkSTANOPvnkQEriFKbfHydt1kUCJEACJEACJEACJJApgUjS%203ZY5lUCW4UAuBPngErj7mqvnnHPOWb9+fSA9sQnT748NNSsiARIgARIgARIgARLIlMC2nXsbMgpe%20a//p1Pd6/9pbOBX/l8O5F6cfHv+KFStWrVqFCB/8iW2+P/nJT/zriVOSfn+ctFkXCZAACZAACZAA%20CZBApgRatypD8kB7qamp9a+6yqn4v1xj9JGdUzbsIl8nUvXjhZ7gm07b8OHD3SvyFPBvp1mSfn84%20bryKBEiABEiABEiABEiABIwOHToohUGDBunr8vJyea0JPXfs2GHm5SkQOVz6/ZEjpUISIAESIAES%20IAESIIFiIfDuu+9qU1euXKmvNX2nhvsjHEj+279/f/z2FIicIP3+yJFSIQmQAAmQAAmQAAmQQIET%200NX6u+++Wxby582bJ2d4SXJPZPOUsB+8D9cfMlOmTBEoQ4YM8SMQOUH6/ZEjpUISIAESIAESIAES%20IIECJ3DeeedJC5G2Hwfxjhgx4rLLLpN3rr32WnmBiH/8xmSgX79+Xbt2lQT/mBWMHDnSp0C0EOn3%20R8uT2kiABEiABEiABEiABAqfQI8ePSSBD8rmzZt1my/S+1x99dXy/rRp0yS/p7nMmTNH//QUiJYj%20/f5oeVIbCZAACZAACZAACZBAURDAcj5cfwnmkYI8PIsWLZL0Pih4gT/Hjx8vMvjv0qVLzaf5egpE%20y5F+f7Q8qY0ESIAESIAESIAESKBYCMD137lzJ7x5FKz6m51+df1nzZoFmfr6evzX7PT7FIgQJf3+%20CGFSFQmQAAmQAAmQAAmQQNERgDePgsifhLecfn/CO4jmkQAJkAAJkAAJkAAJkEAEBOj3RwCRKkiA%20BEiABEiABEiABEgg4QSi9PtnzJjRq1evkoaCaKdly5aZG4//yr8sxSy2cOHCgQMHQqBz586Qt5xq%20Jtr8yJjrDSqf8A6jeSRAAiRAAiRAAiRAAiQQgkBkfv+ECRMmTZqEDQ1ixPz584cNGwafW2166623%203O3DoQajRo2SzKZIdAptV1xxheUSPzLmS4LKhyDIS0iABEiABEiABEiABEgg+QSi8fvh38+ePdve%202iuvvFLX7Lds2eKCA//Vww5UDJlQ4bjrn35kzFUElU9+b9FCEiABEiABEiABEiABEghHIBq//+GH%20H5bqp0+fjixFWPWXA4qxbP/MM8/Iv1auXInfSFwKAXORfEYqhhSn+K+eg4Cjj7VhfmTMFILKhyPI%20q0iABEiABEiABEiABEgg+QSi8fsR1YOm4kiCm2++GS+Qxuj222+Xxm/duhW/seqPOQBenHvuuY5Q%20nnzySXl/4sSJ+I3tAXK8GcJ+9ImBHxmz8qDyye8tWkgCJEACJEACJEACJEAC4QhE4PdrAM+gQYPU%20iO7du5sNev311/XPESNGYOcu9u+ao//laQBmDpr69Pzzz5dL9Fo/MuZKg8qHI8irSIAESIAESIAE%20SIAESCD5BCLw++GpS9wODiHTBv/lL3+R1+Xl5fi9YcMG+fPOO+9E1D5eYCEfu3g1fF+eBphnDnKh%20ufiRyUQ++b1FC0mABEiABEiABEiABEggHIEI/H57xYjMkcgflPPOOw+/JdoHRXx3LcgC5L7fF5Iv%20vPCCZ9v8yJiVBJX3NIACJEACJEACJEACJEACJJBkAlnx+6+//npJ6IldvBK3s2bNGvxGGM+CBQtk%2046+E72Ma8PjjjycZEGyrdipis2WPciZ/5qNCl47zgyLhTU64eSBMC/3cZu4yZJghQwLMEKDTQHb7%20SvSsLvk9ws8uz070FEh+L8dgYSQeSML9z2yYV6IjULUj+F47LESVt9566x133CEXrlu3rm/fvo5K%20cFwXEvzL3AABQlKpvBZ5nNuFFP54gRxBsl3Yj4y5rqDy6RqrQOwCb775ZghEhXHJoaqa0y+8u7a2%20zt6c0tJmry1M9R0LCZAACZBAIAJ79h0aMubequpa+1Wtypqv//P3AmmjMAkUJIGduw+c87X7DlXW%202FvXpnXZS0/d5Nnqk046CTJ2H9jzwuQLuLvxEa/3I15fnX7k4kzn9IOapO9Ekd23SS4tnIoY7HgC%20cbg380+h0Tg/dOw7PxAS3uSEm6cD2w9qnzJssk9QLmLFxrDY2hvPuEv7hVji60uHnVLwA5ld7LIg%2069M3S7LbmVXbolzvh9OvZ28hDf+sWbPcTTfPSFzW5pcuXSqTBD8y5hqDygcCLcqjmilCz8aNG6Hz%20xBNPDGRGOuEYFB48VNWhz/gap/X+5qXNqjc95N6QGCzMhGTCzUPT6urqNm3a1KxZs169emXSUr2W%20CjPHWGwMi6298Yy7it37uw26obLKYSGzdauyA68/4H6j1tbWIpK2tLRUTtHJvFBh0hiyR9Aj23bu%20PWHIRPgh9t5p16bl3g33e/ZatF6cZ3VxCsS03r9+/Xps0pWG2Z1+mXwjd6e95fLZhNB//Dav/e/e%20vdsi7EfGfElQ+Th7hXWRAAmQAAmQQEERGDvWaNXKmDq1oBrFxpBAYRGILM7nmmuukVw92LBrX+kX%205x65OzV7jybvlw2+ksETGlRgyZIlgvrkk0+WF35kzL0TVL6wepatIQESIAESIIG4CCBr329/a1RW%20GtjgV+uwOSEuO1gPCZCAG4Fo/H7swYVPj3qwxK4ZPM3V6iFco0ePRpZPOPdTpkwRgQsvvBC/L7ro%20Ivlz5syZ+I2QIVGIWUGXLl3kX35kzJUGleedQgIkQAIkQAIkEIbAP//ZeFVVldFwSg8LCZBAAglE%204/fjNC5pGxbssbRv3lKDKQHenzhxogjAm+/atStkxK3HizFjxuCFpPlHmT17Ni7XfQI33XR4U7an%20DOqSqpEsyKfOBHYJTSIBEiABEiCBPCNgPmmn6XF9njWB5pJAERCIwO+Hk205jcvODVn8kd7H8j4e%20DjzxxBPypqMA0nrKrMC/jLkKPzqLoIvZRBIgARIgARLIMgFd70c9XO/PMmyqJ4HQBCLw+32efQsP%20Hod2STQ/CgJ+nnvuOXOiT7MApgRI2//oo49aGuZHxnxJUPnQHHkhCZAACZAACRQpgf37jVWrDrf9%20jTcM/LCQAAkkj0AEfj8O1XI5W06O3JIycuTIVatWiTAi+O3Z/VVg586duFAj+83cXGTUEj0cwFyp%20i87k9QstIgESIAESIIE8IaCL/eXljRYz1CdPuo5mFhuBCPz+YkPG9pIACZAACZAACRwmoMH9/fo1%20vslQH94fJJBIAvT7E9ktNIoESIAESIAE8oWArvdfcMHh9X4k9mEhARJIGAH6/QnrEJpDAiRAAiRA%20AvlFQNf7v/xlo2/flO01NQZDffKrE2ltcRCg318c/cxWkgAJkAAJkEA2CLz0krFnT0rxxz+O5NzG%20+ec3VsJQn2zQps4kERgxYoQ5c73ltVqKc6smTJjQuXNnCOASyTVvLp4CETaafn+EMKmKBEiABEiA%20BIqMgAb5nHVWquXDhze2n+v9RXYjsLmOBODTw9fH4VSS8n7x4sXDhg0zu/6eAtGCpd8fLU9qIwES%20IAESIIFiIqBBPmeemWr25z9vtG+fevGvfxkbNhQTiEJra1V1jf2n0BqZtfYgH73onjx5spxUay5j%20x47VPz0ForWRfn+0PKmNBEiABEiABIqJgK73i9+PoqE+XPLP2xthe8W+lp/6ZutPX2f56XjqhLxt%20U/SGL1q0yJLIfvz48VLNI488Ii+Qth6/MQ1Yt27d9u3b5RirzZs3L1y40KdAtHbT74+WJ7WRAAmQ%20AAmQQNEQ2LrV2LIl1do2bYxBgxqbraE+DPHP5xuhdasWdbZSU1uXz23Kru3r169HPA/qGD58OA6b%20wgvE80h4D46RxaFVOJZq6tSpYsTy5cv9CERuMf3+yJFSIQmQAAmQAAkUBwFLcL802rzef/BgcYBg%20K0nAmDRpklCYNWuWvNjQFOqmJ9UOHjxY/rVmzRo/ApFjpd8fOVIqJAESIAESIIHiIGAJ7pdGn3CC%20cfrpqRf19czmWRz3AVuJ515bsGcXIEaPHt2jRw8hsnv3bnnRu3dveYElfzMsT4HIydLvjxwpFZIA%20CZAACZBAcRCwB/dLu5nNszj6n61UAjNnzpTX3/rWt/xgkUmCS/EU8FOLXYZ+fzhuvIoESIAESIAE%20ipvA/v3GqlWNCHRTr8Xv59be4r5HEt76KqcSzmbZv9uzZ8+hQ4eG0xDPVfT74+HMWkiABEiABEig%20sAjoYv9ppxkdOx7RtnPOaXxn82bjlVcKq9lsTeEQaOlUQjQPyXlk/y6CfEJcHucl9PvjpM26SIAE%20SIAESKBQCDgG92vjGOpTKP1cwO0ocyoh2vv000/LVV/96ldDXB7nJfT746TNukiABEiABEigUAik%20C+6X9vHg3kLp5wJuR6VTCdFeTdKveXs8lSDXp7uMp4BnFY4C9PvDceNVJEACJEACJFDcBHyu9z/z%20jIGdACwkUKAEkMlHgnwG6REWTS0tLy+Xl5rQc8eOHWYMngKRM6PfHzlSKiQBEiABEiCBQifw0kvG%20nj2pRh5/PDYzOrS2e3ej4WjSVPFKXVLosNi+QibwxhtvSPPOPfdcSzs1fSeO9JJ/rVixQl70798f%20vz0FIgdHvz9ypFRIAiRAAiRAAoVOwH2xX1rPUJ9CvwvYPhB49dVXhUOfPn0sQJDbp1OnTngTgUBw%20/bHYP2XKFJEZMmQIfnsKRE6Yfn/kSKmQBEiABEiABAqdgHtwv7SeW3sL/S5g+0Bg7dq1wqFDhw52%20IGPGjMGbCATq169f165dV69ejT+R7nPkyJEi7CkQLWT6/dHypDYSIAESIAESKAICftb7zz7b6Nw5%20xeKtt4x164oACptYjAR27dolzT722GPt7Z82bdoADXhr+vecOXNU0lMgWqb0+6PlSW0kQAIkQAIk%20UOgEtm41/v3vVCPbtMFmRrfWMtSn0O8Ftk8J9OjRw06jS5cuixYtGj9+vAT8IEvP0qVLzWd7eQpE%20S5h+f7Q8qY0ESIAESIAECp2ALvafdZZHUxnqU+j3AtsHt76+oaRDAc9+1qxZO3fuhAyE7Qf6egpE%20CJl+f4QwqYoESIAESIAEioCAn+B+waDr/c8+25j/pwjwsIkkkFgC9PsT2zU0jARIgARIgAQSScC/%2039+tmzF4cGMblixJZGNoFAkUEQH6/UXU2WwqCZAACZAACWRKAIdwrVrVqMQzzgdyDPXJlDivJ4HI%20CNDvjwwlFZEACZAACZBA4RPQxf7TTjOajiN1azW39hb+PcEW5g0B+v1501U0lARIgARIgARyT8BP%20Bk+zlTif6KijUm8gC9CaNbm3nxaQQBEToN9fxJ3PppMACZAACZBAUAL+g/tVs4b6MMQ/KG3Kk0Ck%20BOj3R4qTykiABEiABEigsAn4T+KpHDTUZ/HiwmbD1pFAwgnQ7094B9E8EiABEiABEkgMgZdeakzH%20efzxhtMpRc6G6nr/P/5hVFQkpjE0hASKjgD9/qLrcjaYBEiABEiABEISCBrcL9UcfbTRlPmn5Jln%20QlbNy0iABDImQL8/Y4RUQAIkQAIkQAJFQiBEcL+QaVryL2GIf5HcKmxmIgnQ709kt9AoEiABEiAB%20EkgggXDr/Wa/n+v9CexWmlQ0BOj3F01Xs6EkQAIkQAIkkAkBJOL8979TCtq2NQYNCqbpzDONY45J%20XfLee61eeSXYtZQmARKIiAD9/ohAUg0JkAAJkAAJFDaB0Iv9gqUp1KfNsmWFzYmtI4HEEqDfn9iu%20oWEREKiqrnH8qaurj0A7VZAACZBAUREIHdwvlJqyebal319Utw0bmyQC9PuT1Bu0JVICBw5WtfzU%20N9ucfJ3Tz7WRVkVlJEACJFAEBCJa72+9enUps3kWwf3CJiaQAP3+BHYKTYqMQPPmpbW1dQ4/XO+P%20jDEVkQAJFAeB/fuN1asbm9qUlDNYy7t2NYYOlUtac8k/GDtKk0A0BOj3R8ORWkiABEiABEigkAno%20Yv9ppxnl5SFb2hTq02bp0pAaeBkJkEAGBOj3ZwCPl5IACZAACZBAkRDIMLhfKOnWXvr9RXLbsJkJ%20I0C/P2EdQnNIgARIgARIIIEEIvH7kf3z2GPRuNJt24wXX0xgK2kSCRQ2Afr9hd2/bB0JkAAJkAAJ%20REFA43zCBfc3mVDftORv8ODeKLqFOkggEAH6/YFwUZgESIAESIAEio5Ayw0bjD17Us0+/nijR49M%202l9/3nmNly9enIkeXksCJBCCAP3+ENB4CQmQAAmQAAkUEYFWL73U2Focu5tZObzejwcIH32UmTJe%20TQIkEIwA/f5gvChNAiRAAiRAAsVGoNXatVH5/UanTgcR5S+FS/7FdiexvbkmQL8/1z3A+kkgUgLO%205xPX83ziSClTGQkUGYGWut6fWXC/YNs/ZEgjP4b4F9mNxObmnECUfv+MGTN69epV0lDGjBmzzHYq%20x8KFCwcOHIj/du7cGcI7duywtN9TAPJ+ZMxqg8rnvEtoAAmEJrD/QKXjEcVtT74utE5eSAIkUOQE%20Wrz/fot33klBaNvWGDgwcxoHmk7v4tbezGFSQxIIPPDAA+IA4zf8W4tJcHcnTJgA1xcCI0aMsLvH%20ngIRtjEyvx9NmjRp0ubNm8W4+fPnDxs2DD632jpv3rxRo0atbjjtr6KiAsJXXHGFuSWeAhD2IxNU%20Z4Q0qYoEck6gRQunI4rr6nJuGA0gARLIUwIRBvcLgUN9+tR065Z6hfj+5cvzFAvNJgEhAAd43Lhx%204gDjN/zbW2+9VeHAp4evP3v2bLi+eHPx4sVwj82uv6dAtJyj8fvh36NJdsuuvPJKWdTfsmXLZZdd%20ZhFA4+HHy5ueAj5lzFX40RktTWojARIgARIggQIj0Dq6Tb1K5sCwYY2vGepTYLdLkTUHfqzdAb7j%20jjvgggqJyZMny5K3uYwdO1b/9BSIlmg0fv/DDz8sZk2fPr2+vh7TnZ49e+JPTG6eeeYZvJDfKOPH%20j4fA3Llz5c+7775bXngK+JQx0/GjM1qa1EYCJEACJEACBUag1bp1jS2KIrhfVB2k319gd0mxNue2%20226TpsOzhX8LL9fi1soCd6dOndatW7d9+/YBAwbgT/jJGhHjKRAt2mj8fkT1SKtuvvlmvOjRo8ft%20t98uhm7duhW/n3zySflz4sSJ+I3of2k55kDyQMBTwKeMmY4fndHSpDYSIAESIAESKCgC+/e3euWV%20xhZlnMRTyRwO8cepvR98UFDE2JiiIYBFfQnvGT16NDxbvLj88sul9c899xx+I55Hwnvw3759+3bp%200mXq1KkisLwhws1TIHKWEfj9+ixjkGbmMozu3bubbV25ciX+xMQAUwJ5//ymE/tef/11/Okp4FMm%20UKWR06RCEiABEiABEigkAiX//Gdjc047zSgvj6ppde3bG+ee26iNoT5RYaWeeAmI74py+umny4uh%20Q4di1R9FVvE34MC7hgKnX14MHjxYXqxZs8aPQOQNisDvhysvjVy0aJHa95e//EVelzd8TMh0xzwx%20kPe1eAr4UWKh40dn5ECpkARIgARIgAQKh4D6/dEt9jfCaVr+Yxb/wrlbiqwlEtIivi5290q+SvOm%203t27d4tA79695QWW/M2QPAUiJxqB32+3CaE7EvmDcp6eyJ3G9hdwYp9r8RTA1X5kzJUElY+cOxWS%20AAmQAAmQQPIJlCAOR0r2/H6u9yf/PqCFrgTuuusu2d2LFWds6pWYH/eC3DYZCnjV4Pz/rPj9119/%20vQQ8DR8+XAN7wtmXhKuqnIoYJg86Iin5qNCld/wwiaHJmVgYg3l+KLnIOFqYrsl+6srTJvtpWjoZ%20NjkTeriWADME6MTQ7XvPs7rIe0TjfOrPPNOzdp8CjUb262d84hOp1zt21D//vM9rHcUib3XCFcZj%20XsK/TTL5ftdx5+LgBfI/NYu9XIW1b81XGUhPDMIl2nitDM8p9JYKYQEecGCuIxdi87KENIlOTAM0%20FgjnGiDFKd5ECiDsBvYU8KPEYq0fnX4aqEDswm+++aYfDQUpc6iq5vQL766tdUgMX1ra7LWFqc7N%20bTlUWd3/ontqnCxsXtpsQwIsjJzPwUPVAy/+3+qaWovmFs1LX12Q2nPPQgIkkHACe/YdGjLm3qpq%206yiG2a3Kmq//8/fitL/la6+dcNFFqBHp9rf8/e+RV330D39Y3hAdsHP8+O033BC5fioMTaBiz8HP%20XvGLyqoai4Y2rVq89H+pBC25LTt3Hzjna/cdqrSaB6vatC576ambPM076aST0snYHeN0kurKQgD5%20fLDMj2gfWfgXj1cFli5ditB/0WN2sz0FPBtiF3B34yNe78f8Rp1+INB9DCHsTs4lZU5FO0/OJ868%205J9Co3F+6NhTfoBku8kYWy53kaeF2TbP0wBPAUcL0zXZU5t+UviR9CmTpwx9ts5RrNiaXGztjWeY%20pP3gKkl5DJ4lwk5p05S5/+Bpp3nW619ALdQs/m2WLfN/uV0ywiaL8oQrjMO89F+ffnoqBgsz+X7X%20LnZx8AJ5ofDyJbZn1qxZcqFnGE8g/REKR7neD6dfD+dCBlNtPMwVxI7r/TIH8hTwo8TCxY/O0ChF%20uf9JoXtF0LNx40boPPHEE0ObZL4wBoUHD1V16DM+3Wp69aaHct7kAweryk+dUGNb/IZhzZuXVm98%200MXCGABm2NF1dXWbNm1q1qwZTgVXVfsPVHbqd321baUQh/hW/cutvdDgqDATI6kwE3pybcIZJty8%205AN0tLBi9/5ug26wr7NCuHWrsgOvP+B+X9XW1iLkoLS0VE7RybRceaXx6KNQsn3y5K4/+lGm2hqu%20P8LCffsMJPaR8u67xnHHhagi4iZbLAxhkO2SaC2MVpu1R5qM316x7/izvotnyJbWtG3Tct+G+2O9%20CZ16ZNvOvScMmQg/xG5JuzYt93pZiKsi8eIsoStiDE7nFacfjoTLcr7nAwGzzxzoNtRZjaOPGtl6%20//r16/F0QyyzOP14Bxk88VsTHuG1bmGWSzwFfMqY0fjRGQglhUmABEiABEigiAg0Jd44hCSe2Sjt%202hlf+EKjYq9tjtmonzpJIBMCxx9/vFxu8WlVp+au1ISecmiVf4FMzHO8NjK//5prrpG8mTiQy7zS%20L7VKBk8IaLL/JU37908++WQ/Aj5lzI30rDRymlRIAiRAAiRAAgVC4O23jX//G22pa9268tRTs9Wo%204cMbNTOrT7YQU2+2CIgHi6I+LV7LYr8sPWv6TiyOi+SKFSvkRf/+/f0IRG56NH4/HmTg5F1pp2bw%20NNt6UcPGIJSZM2fiNyKCRB6TBEll6ingUyZQpZHTpEISIAESIAESKBACTZn7s7XYL5iYxb9Abpdi%20bAZ2sUpAHXzaBx5IxeDBH266r8/HC8SxywQAfi9cfyz2T5kyRQSGDBniRyByrNH4/XfeeadYhhV9%20IDDv+RAEmsUf25zxX90GcNNNjXuuPQX8KEFdUjXOPfYjHzlNKiQBEiABEiCBAiHQ5PdjU28WW4Qn%20CT16pPTv2mVkIWVQFi2nahIwjGuvvVYwjBs3Dv6nZKpE+da3viUvZL8v3ON+/fp17dpVVr3hKo8c%20OdKnQLSYI/D74WRLhI9LQRZ/pPexCOj2Z7zvKeBTxlyFH53R0qQ2EiABEiCBYiOAPbiOP03HG+Qt%20Dw3uR6L9rBaG+mQVL5VnkwAy0cObtdSAba6atXPatGmIbbEIzJkzR9/xFIjW/Aj8fp9n32LGs2DB%20Amk8nnogbf+jDVkCtHgKQNKPTFCd0QKlNhIgARIggeIhsGvPgVYnfbPtZ66z/3ToMy6POezfj9gF%20sT+76/2ogKE+eXyj0HQDefrh00rAD37ff//95m2uiGaHAGYCEvCDSYI5lz/e8RSIFnEEfj/mOi7H%207OG/ajEeaqxatQrCO3fuxPsS2W8ungIQdpFRS3Sa5S4fLUpqIwESIAESKEICLcua4wRDh5+6xvOM%2085JJ02J/fb9+dZpqM0stwXKppMxfu9bYujVLlVAtCWSPAPxPZNaGf4vf1113naUiuLuYCcD1hQDm%20AGYfVSQ9BSK0PAK/P0JrqIoESIAESIAESCD3BJqC+40zz8y6Ma1bc8k/65BZAQk0EKDfzxuBBEiA%20BEiABEjgSAK63h+D34+aNdSH2Tx5J5JANgnQ788mXeomARIgARIggXwk0LTeX3/GGXGYz629cVBm%20HSTA9X7eAyRAAiRAAiRAAmYCiLPfsyf1Bo4jlSSb2S69exsnnpiqBPX+7W/Zro36SaBoCXC9v2i7%20ng0nARIgARIgAScCcQb3a/1c8ufNSALZJ0C/P/uMWQMJkAAJkAAJ5BGBpuB+46yz4rOaIf7xsWZN%20xUuAfn/x9j1bTgIkQAIkQAIOBHKy3g+/v7Q0Zcy6dca//81+IQESyAYB+v3ZoJplnThOhYUESIAE%20SIAEskHg7bcb3e62bY2BA7NRg7POli1xplHjv5jVJz7urKm4CNDvz7f+vuYao0MHY8KEJNvdsqzW%20MCptP3iThQRIgARIINkEcrLYL0h4cG8Gt0ZlVY39JwN9vLQwCdDvz6t+vekm46GHjLo6Y/Zs47/+%20qzHfQsJa0LpV7b7XfmsYbZ1+EmYrzSEBEshHAn/8Y2phGDEhN96Yj+Yn3eYk+P1c7w94l2yv2Nfq%20pG+2/cx1lp/yUxK9ShiwlRSPgAD9/gggxqTijjuMe+45XNfTTxtnn2289lpMtQeppqYW9xVW9+0/%20QbRQlgRIgATMBGpqjPvuM045xbj4YgN+IVZAfvpTY9IkQoqYQE429UobTj7Z+PSnUy8QzvrMMxG3%20q9DVtWrZora2zv5T6O1m+4IRoN8fjFfOpB94wLj11sbaTz+98cX69SnXf/HinFnFikmABEggBgJb%20t6Y+AI8+2vjWt4xXXz2iwhkzjB/+MAYTiqWKffuM1asbGxvPSb0WsvkV6vONbxjNmhm33FIstwfb%20mf8E6PfnQx8+/rgxblyjoQjvWbPGePjhxj937DBGjDAefDAfmkEbSYAESCAggRdfNL7+deOEEww8%208Ny5s/Hijh2N73/fuOiixj+nTTNuvz2gXoqnIaBBPqedZpSX5wBTHm3tnTLF+M1vjPp64yc/MebO%20zQGrvKrScfsB3syrRhSCsfT7E9+Lzz1nfPWrh1dffv/71Ouvfc3A+926Nb7/zW8a+ABiIQESIIGC%20ISBB/FhynjPncJs+8xnj3nuNDz9MeVoQ0M/GyZONu+7y33RHF6Te//UFLJnD4H6hivX+srLUi1de%20MTZtSi7pefOMH/3osHnXXWds3Jhca3Nt2badex23H2A3QsdTuQMh1u6h3x8r7sCV4YMPX2xYTkD5%201KeMP/zBaNWqUcnnPmc8/7wxaFDjn/gAuvrqwPp5AQmQAAkkiUBJTU357353OIhfbfvCFww8+dyw%20wfj2txv9Qvxr/nzjwgsbRW6+2fjZz/w0ZdeeA44uSPveTY9V/WgpVJkcBvcL0ubND2f1SezuXgTZ%204jGUlHbtUr/37j38WL5Q743M2tW6lfP2g5rauswU8+pgBOj3B+MVq/T77xuXXmps356qtEuXlNN/%203HFHGNCrV8r1xxY3Kb/+derjctu2WI1kZSRAAiQQCYGtW0tuvbXHWWcdhVUMcxD/VVcZy5endnnq%20Z525uiefNL74xcY3brjBuP9+P7a0LGvOHZDOoHK+3g+zEh7qU1WVcvoPHUoBPOkk47HHGkk++2wq%20/IyFBJJNgH5/UvunsjLl9L/5ZqN9cPpPPdXBVhx0gjUwfNtJwVcjdvquXZvUVhWiXdh6UVJiYK2x%20SMojjxhYecWDeKZQLJIej6GZCOIfOxZB/CV33lm6e3djhRLEj3Nbf/tb46yz3Kz4v/8zPv/5RoHx%2041MrICzhCOC7Y8+e1KXHH2/06BFORwRXmbf2ImtT0gqc/pdeajQK8f3YdDd9euOfeIFvZBYSSDAB%20+v1J7RyE9+jzVjj955zjZuj//q8xc2ajwBtvpFz/P/0pqQ0rLLsQUoxUSyh4oas+hdXEw/cVnLBj%20jkntLfnb34zq6lQKRX9hFQXJg42KhgBi9OHkIYgfzn1TqcKTTA3i/8QnvCtq0cJ46ilj6NBGSUQ8%20Pvqo91WUsBNIwmI/rEJQKzZyoGBNPWmhPthBrh/1OE5HUh5h3QfrdFKwEoQDj1lIIKkE6PcnsmeQ%20Gkwddzy2vuQSbytxpBdCXREZibJ/f8mFF3bkN583tcwk8HTFvMyPDIPvvJOZxkRe/cQTxpe+lMqr%20jaUs7Kc0FzxoWrAgkUbTqGQTwLzxF78w+vRJhe6Y0rTXf+EL799779a//OWIIH4/TUGMNVb9db/T%20lVemAiNZghLIeXC/GpzMUB9MU7GDXMrEiQa+qbXgm1rmqEiyp/n3gvKnPAlknwD9/uwzDlrD976X%20Sg0mBUsLyBLgs+ARAcL9P/lJEf/Yj37UVR8C+NRAMf8EPvrIQBolKa1bp35XVBjXX+9fQdIlsWQ1%20dWrqdsK00+zcYy0Wt6Um9kbstUajJb1JtC8BBHBfIdk5MvFjey426WppCOKvX7x4nzp8QY3t3Dm1%206t+3b+N1+DzkY8+gDBOy3g+zE5jF//XXD+/lHTXKmj8Kt5/uLVm0iGdKBL31KB8bAfr9saH2V9Gd%20dx6O2EH8tJ7V5e/qlDcG13/YMBHv9MtfGldc4fNSigUjcO21jQ9zseV69uzGa//850DJBIPVGJs0%20vHw8s8ba1f/8j/HWW4erveCClF+FXHW4LZGsWnaZI6U6PLZanM3MQgKuBCSIH/cVUnBikizFfxC/%20H7pIbYxVfzybknLBBSU81tAPN5HBlAy7KVDatjUGDvR/XVYkMf2T9RScSf+vf2WliqBKEdYvmx+w%2080HX5sxKYLOeI4EzJTjtDEqY8rEQoN8fC2Z/lZQjN/8PftAoC1/qnnv8XXekVPfuKdf/8ssb30Uk%20IsL93303jCpek44ATkuAeyHlV78y/t//M267rfFPRP7omll+Afzoo86/+tXxOAYOUT3mrWnw7+Ho%20w92H0w/XXwrOUdLD41auTLn+LCTgQgCBN0cG8acCuAMF8fvEizsTN2rTntSSiy5qs2KFz0uLXSw5%20i/3oCSRLSNSSP5x+vZHg9B91lPPdgo9K/ZBEtM8HHxT7TcX2J48A/f6k9Em7JUs+pr4jniGadrmF%20MLH+kUd2ahTK0qUp1z9PndEQjc/2JcgbqMe1/PCHjYeGYnXns59trBmB/vlVkH7uqquadeuGwLCy%20zZsP247lK6zrY9KIRSyE91jKuec27mnG+5he8uS4/Or02KxF0kMkPDFvN3LMxB+hPdgVimm5PI+q%20rDx2/PhWTHHmB29ygvvFWvX7kbgit2XGjMOHx+HpLr5PXQqifeTeg9PPQP/cdhxrdyJAvz8Z98Xz%20zx+ruTjPOCOSHWnbJ07cBq9UCp7e4qNKzvplyYTAli2Hw/qxroMIeC3Yp1hamvoLTsZ//3cmlcR0%20LQ6a+fnPjdNPT+VAxElJWhCo+t3vpg7LRJTqmDFuxiDYCdtRpGAuZFYSUxtYTbIJ4PiR884znn66%200Ur3TPwRNgU7huH6NyzKNtu/vxvcr9WrI1RfmKoStd4PxLrTA99f2P8t+fLjL4jenDSpsdrvfMfb%20lUfSM438RKiPRv7EbzlrJAEnAvT7E3BfbNhQgi1oEiF94okp71ziGjMuu/BsHY+8EayJUlNjjB5t%203H13xlqLWwE8XaRrQEE4ASJ8zAWuBlx/KQhgSHIWZ3zBY784dibga0wTURvGwYEDP8IOE/hquE/Q%20HD8FK2EXXdQoiHgnPlbyA61IZPDsCEv7CDuUgrB+z0z8EZLp3z/l+nfoAJWl2E6AY30xlWVJR2Df%20vsNTI921n1tcPXsa11zTaAIS6WDpCtGGMRfcw5q0BzNYn5mL8YBLF92Q/wcLKCwkkBgC9Ptz3RX/%20+U9qDyWSwxhGbXl5yun/+MejtAlr0vje/fSnG3Ui9RiPWwrNF/SQul4KnH57iCeWFXUjNaJ90LmJ%20Kpj7wewhQ1KnIGHPN3IpSsE8c/z4uhdffOeRR/ZgXQ2RtYEKnLlTTkldUV+f2urAE6OPpFdZVeP4%20U1dXHwhzngljPgk/af36RrPvuy8HR5meeWb9U0/V44w5lPfeSwVeJ2SHaAL7Umfsp51m4JsoIQWf%20VxpAuGpVyvV/7rlYTUNYP9ZBULBxznEvbzpr8ChYj5HG94KsFrEUKIESpzICm+Wayo4dOyZMmNC5%20c2cI4v1ly5ZZSHgKREiOfn+EMIOrguMFpx/ZwRrKf7BI3K9fcC1eVyCQA64/voOl4LglZGbEecAs%20gQggiEWflmCRW3lalGDJH0ddoiDVfWIC/ftW7kgd6owFfjyv0CheGImsHXDI8J00a1b4DB7t26f2%20+MpDKizIJWSPrx77GqiXoxbeu/9Qq5O+2fYz19l/2vceF3VtidH3j3+kBogkh0HBGc8TJuTEuPrP%20fvY9BF3IVBb2wPU3p6jKiU3JrFT9fvejkeM3HlnFHnywsVqspGBbkWYUyLIxR2HHHXbHSYHTL1H7%20/gsC/WVt6O23m+Xo/vdvLCVDE9iC6F/XAp8evv7s2bMrGvKYLV68eNiwYWbX31MgtG2OF9Lvj5Zn%20QG0I72ma9n3w058eyN7TVXz64NRDLF1IwUlMWDjZtCmguUUsjggB3SeNFX0NarcjQV5CjfYBZ8yy%20cl0e3r501danUk+oJQmdFNwMcM6QigdfSJnHlWG+ql/GeKiN1Ow5LHisgQg3dEQyvmvLyprX1tbZ%20f2rq6nIIKYtVI6YZ4T2ywImTdPFnTrMJHxg69ANNrI7jzC+4oFnSHsRlsTN8q9blAH9fQ+meYvmu%20L4ggDmDGpwqWLaTgoeKPfxzk+jCynX772w7z5jVeiSU53NJBCxaAmm68kieeQLa0oAoonxcE3n//%20fXc7J0+evNq2v2gskho3FU+BaDnQ74+WZxBtiFxE8H1Dqb/vvr36TDCIjmCyv/714aBDOHxw/f/+%2092AailYaTr88IendOxUh414Q3Knn+CKqas2aHGKD0/+1faYUPYjax1ML+GS4GdyzUgQ1Gg+REMAt%20BTMfn4GwQWvxlIdjh0AmyR6DhV6cZcHQDk9oEQpgaR9r6ph6oXTtmjqLF8Mh12U/Fol1v83LL7e9%207NLOtXzgeWSvBNnUW7F7f7qnWB36jM9Kb2OPL55a6/NwrMRnM1VOyZIlR91xR2NDUFHohYyvfEXD%2025AtrTW3P2Xl5six0g1N5w8uXbq03lQWNe3rmNcwgezUqdO6deu2b98+YMAA/Ll58+aFCxeK6Z4C%200baQfn+0PH1rQ36Ahx5qlEYKyPHZ+ay0m4OgQ111QJaxc85hDhbvPsPnvmZuBr02bbwvmT49FUMv%20JXfRPkc4/cjMg48hPLhArh5k7MlG+f73DazMSbnhhpKmD7VsVOWsE5k34PRjTqsFz9MGDUo94GJJ%20TyDd2i2+woJhQ8zY177WeAky6MPp1+S2wRRlQRobV5pyiZauXfvE+0va1TdMTlhAACnI5GEglqib%20jj5wB9OyZQvnp1i1WXuKhQMf4PrjdBEpDzyQep2NcL6tW5vpfmLcwJqcJ9ytgtUQJExrKEdhjy+y%20qLEUFoGtW7dKg4YOHWpvGeJ5JLxnzJgxffv27dKly9SmNIDLly/H+54CkdOi3x85Uh8KER2OHymI%20uta0/T4ujUAEn2jw/9TzQzS2LmxEoL3gVOBDH18wUhAE7+8heEpYo31wTKlLXFDWgJmd/pmdTk1l%204te8eFmrNBWJ2+TqlYwdW6YR3tmrUTUjyfeXv5w6P1gKsldJgWeAZxGIEmZxIrBn38F0a7ftegdZ%20j4B/o1NcrMvC6c/GbqVMOhGnGTZtzTzz4If/9+HfWtRnzUnNxM74rw2y2B+/dYdrxFYizO11mQwn%20i+Oh5auvRmwSEvg0RG7UIrIo0F7edHYg2qdhq3QL7C3J5mOKiDlQnT8Caxoe6WM5H8v22LmLgi28%20CNmXq/VpAJx+eWfw4MHyQi70FPBnRQAp+v0BYEUjimV+TQaMtbGcnEgiz0yb7sLUaaxM8uPUu62Q%20k0RjxJH4MtBjGaTF0FiXmTMPn+8bzW3kocXs9M8oP+WWrgNjqbahEgT6ywa4HTuOQbxTPFHs6CY8%20x5CCjFg4iQyPVvH7k59sfBNLLPD+d+2Kj0P+1FTWwnkHQp3/vsNB47fc0thiTPz++lefy8ZxQ0JM%20bVPI9bmHPvjTR03pueK2I2H1Je3ELnc8WH/RtaqXX4brXxJhokyE9DQlbfsIj231AySTHuvVqw42%20S8ERhzn50s/Efl7rSmBl0xPmyy67DEv7KNjCi4284vrvbnok1RtBwg0FS/5mfZ4CkeOn3x85UleF%20COjXB4gjR8aWl8DBJtyC5mem8FA1q2O8SBJbW8mhQ0froxhM0HVroH+LkR0f+ZoaSsm3v10al9Np%20cfonderv3+QIJBEq0LTHt9XLLx+d7WcdCFfDuZ76LB6R3HBiEMCGgt/4RMZDACmI9kE/2hKoRdDk%204lZxFDIt4tgHKYjmx0r/kV9sycJz3XUHp88Uk0YcfO+pj55Nlnk5sSZf1vsVDuaZekpgRUWzL32p%20PJJTKeGdNz2n3TZp0oHPfS6q3qgfPbpC82pghYKfQlGRzbUeOPcSxiO/tWAj7z333ONuHRL7ZCgQ%20rvX0+8NxC3UVMoIhgY8UxBxH8jkVypDGi3CiDZ6ZduqU+hOBvOao6EzUFsq1cPrL5JiYli2tR3T5%20byO+Rbp1S4m/++7HcKJt9stv/vMP3ciLlf64nX5pIJzvpuCo9kjnohm4I28+5q7YRwFHUwqylGKt%20Dpm2tWBrKQ5vwhMtKdjji52+GQbsRt6KfFZ4zMSJ5VjClII0Suhu5PBJdqkcN/4HRw0SGy84sPX3%202/6ebHuzbN3bbzdmXMUJj0jsmy8FNxty+R97rNh79OTJnTNMngZt118v2uq//vUKPa4rIiDbvv/9%20Q4oX0T5MpR0R2AzVVDoV/zpfb8rDPn78eGzVxZ6o+5uWCLHqr9E+/hXGIEm/PwbIDVXg5oDTL2vq%20OIbwD39oPEY3rvrT1oPkG1J062rOTbIYgKWdj30slRU+zsTbM2d2wKRICvbyyrlUIQosb1pAar9g%20QXnTzsIQmvxc0vKab1yxtzE9a86cfjH02mvrccyZFEx4dHHOTzN8yiAlEUJK9K64667DOzEsGm6/%20PRX2IwdXoyAoKBkpPn02NKFiVVUlF1xweJgAaTZ6OTuN/99Op97W6XTRfen+t363vSlNe3aqS7TW%20vFvsV5pYj8fMvylauhM+aXVNPShxpHZVR//MM+uyk3NzG3J4SNJkZIBB4ChLAgi0cir+7cJeXknh%20M2vWrB4Ne+Kvu+664Q1b6fAEQGcF/hXGIEm/PwbIRuo4XsR7SNJopBWH0y9HOyWh4MmDlGSu9+P0%20K4QQ4AhYuBQnnng4U2RW0T3zTIkm4sQzWU1REq5SpHLD7u2GklryR0BqlspVVzWf27jymmOnv6GB%209dOn79PTzZByO9ocdpgNau4gPLl68klDpxmOeLHNF3f4GWc0/jMBKT5b1tem1vy8fkrgXldVeYql%20BCAWW8EhpuedV/L0040VIpUTkvnkVflx+ak/6ti40+7KfZsf3J7KrVGMJb+C+y09hEW055+vR7Im%20KXPmpA6Mwxdu0AKnX1YQ8AUdyV5eJwOqevU6HC+KY87zbcgEhZoX8i2dSoaWn4sn3g1F9+xmqDDa%20y+n3R8vTSVttbcrpb8rwmgrvwY7P5JSE+/3mpxBICo69g6eequceZIUi5hhNR3SlTlLTM3ozqQwb%20uRpS9qbiqbKU1hPPQ5pWW5Pg9Aut/0yfXnXSSY0Nh+sPthmXkoMHUwNKA8r7908F9F94obdi5AHE%203EPPX1u2rNmZZ7bDeXaxl68ceHvxh0v2bPyN0aqV+0+zNm1OPOWUntiN4yWZEkBAGr5vfv5z4513%20stsmnE+JY4yw1NpQdmDGpUc3ZLfiiLVP6Xja9PLGR3lX79v4sw+L0vXP3/V+uR3Kyurmz6/QU5Cw%20pxxJfgKdmnLTTcZf/tJ4b8Hpl4+sLBV8UOtXAF4kc7ktS21PpNpDTiUqS3XPrqNCeSzgUjwFwtlJ%20vz8ctyBXIbyn6QsylUtRV0CD6MiiLNwmSUiPlIvvvZfFisKpRhJMKRIlj4IM9BddlAqawglN2Sjw%20CxHwiiRuHTt+hPiQiEo9vDEp2OahmU8iUp4Kgmpy+pGyMzcx/U5tqWvb9kOE38ijbWyWgOufWWn5%20xhvd0fV6BhMOJYDT35QnwZduHLumeZZ27Tr229/urF3j6/rwQs2N+uv3vvHK+//3xEfPnX/Q44jH%20kNUgRhm7yfE4MXsTACS5gtO/fr1Y+NGUKRX5HLHw/U79f9rhM9KWa3e9lhpKRXXQ2759hp4kqkeO%20hLz5cnnZth/8YId+rr75Zsr1bzoW08MspB7W/ZdIE+RnBSHDhuIDRx88ItDff9asDOvl5VkgMGPG%20jJKGoodwmSs5/vjjyxtSuKLo2r8l6N9TIHKr6fdHjvRIhdho+Mc/Nr6F6EO4KQksSV7y1/V+nJQO%20d61pCKVipU4+OfoNo8jyjm2gDeXD22+vRkbIqMrgwUgQ0agMi6O6vJS5fpPTX/3dm2JN2enD+Ep0%20U1N6n1Sr4ZWGLTjr/uNjxsD1b1SAbEuYSJeVBdYHG0wpPjvj1spyis/ja/b/uGLth1vn/WLHi32q%20TGkfsELv9VNfVoYfT7GUgLlkaQLwj3+kVi6ajmWof/jhXUiKn+flxs6DZrX/dGMjMH/Gci+Gqpxj%20VfBFF/vxFBrxcvlcdiFWB4/TZVv5gQOp5SE9RCVdu3Bwkj4ARDwnogfjKdj6WVqaqgqzaGb0j4d5%20dmqBZy+Kn9agRwPuyR/kzZNPPlnTd65vWitZ0eTV9Meqq4Flq8b8nukEIjecfn/kSE0KsZSih/Ii%20fXhTroBsVhlKt/r9Cdzaq+v92LwFdw1rxuZPSYTLf+pTKecvkoIY8aaD9Iwf/vBwbHokyrHL5xvf%202IeFUil4whvFwY2pLJm6mfLmm6um/TgiYyNVA69a40B+/vOae/7XfkBsXZ3X0bB33lny1a82Q5CP%20FETHYpNc6NKQ4rM++yk+S1et/NV/nn/73T/csvvlznWVYu/uZmUILznpk6ONQ4fcf+oOHNj4yiub%20ESXoJZkSQEpTJCJEVlNzsUwA3n03NLNUrh7cwHIeDbyrP/2p/oorwmtL0pXXdznjV+0/ddginKuI%20LXoFlGc93ZHMqcdlUvJ5sf9wxyECEE/XNek+kvHraov9fsMZf7qXF3GYyBMQW8HhOZoYGnuIs7ON%20OLbWFHNFg5rcJ2TvwbldQPHAAw8giSde9OzZE2d1YeMvjvTCn/gvPHss9k9pSnA3BKfLN5zy6y4Q%20OV76/ZEjNSls187A9lBkEUFU9w9/mM2aMtOd2PV+xGhi2QYFn+Oy9H7UUakkjFh0bDoUNjUTwIoj%20HLh16zKigCVMXfi54IL67Bzvug0DHpklURAhnXGgP07Faq/PsnGn4ZSZxBbs+2zahtv8pu9e+omR%20bT9znfmnXe9xbrbj2qaluOoTTjCwSoenHBmWrl3rn3xyp57F1pTiM52HVIdRHKjgQd/w4W3O+exV%20e/6l173eouN/dx589MfHILzkrRbtA+nzFj7mmNTRcsgJnX4C0OyEE7pfdVU5nsAE3QPwyCMGcn9h%20jw0K7mHkTkWq/gIq13Y564sfH9V48gPahekN9vT36ZPKBJXnpWL3/nRHMv915kONjfN/EnnCaSCE%20Bq4/4nykYAqHLwjHwQunX2K6EOkKp79581hbhpN8NEAOi1kZfn/FajorO0wAOXyQwVP+xrldCPgZ%2017Q0eXtTnPCYhkAPpPfp169f165ddVYwEoc4NRRPgWiJ0++PlqdNG5Y5m05ry3JNGahPrN9vXuw3%20tw+f6X//eypp49FHN7795z+XnH5617vuSmU+CVfg9MtCJtzKrK2+1MBgjSaH75VBRSX/7/91aApJ%20Sk0vk+z0S488+GDtsMYv4998+HyvQxW1tXXmH+d+Q5INdHfTUtz+s89+F4/yo1ub3H7DDf9B2m9T%20is9fdz3FMieRP9t/xnVm0mR9SW1tOVxkJH5FjhHTpuG/tep26VGf+8xxF97b4eTKkix/8LpOANqs%20WHEUHpU07QFo9p6PJwB4jKBZrbAQDqdfJ97hhlsir/p7m2NTAWDoPgSnScGTlssuS4U2Ya0hn0vL%20MucjmQcf+LCxWdGNqdxzwgke6C99GIUHwvgMsUx0sY6gn5/Yyxs6U3MmrcWS/+kNyWQR4s9on0xI%205vTaadOmDZC8HaaCyYB48yiOAnOQe6qpeApE274sf/1Ea2yeapMwviQXLKV/4hMpA/fvT4UbJqdo%203JHugjLbhr0TWOxvSpGJ/3R+8MFPIA4hRBY2JCRpOps95YvjqUL2Cj4LNOILS/5Np34Eq/Cqq0rg%20nUjJC6e/wdJDv3roveapJPpd6ip/u31ZqeG1gg7/Eu4IdkI3lPpvf/u9X/2qtnPnYKy8pPeNGmVO%208Tl+7xvPvbeg56FdlmlJjef2u61bS267rceZZx6FaLFXX9VqH+1w4pBuI79wzPDH2zaMsjiLjycA%207T79qcXvLvz2ntc/XrPf2TQsXugd269fyunH7wIu8Bdfe82YOTOV0lEKUsQgVXzBbfk9vWpH+7qG%20hRJMAjU2pmB6Fp+QeMwoBefjwvXXoCasuWhCMDza1fM042+7Rvvgyy7jJ8Dxm88aQaBLly6LFi2C%20oy/hOgjvmT59OtL5KxyLALL0LF26FOE9/gWi5Uy/P1qeeastmUv+6db7FXP79qkYXKRCa8qH1VyO%20X0GIs17r2SeIj9dknXgoHEPCJew2Q3wnCp5OIAI1aDFt5K3A5Cf5K/1NDaz/+Me/cXTjkv/gym2/%203eZ6WJKEqiNkRcq999ZneB6nC+cjU3wOO/Thig+evvhAKq2Tr4KbDQcGnXBCyU9+UqrP97AHfdKk%20/Rve+MYxn32h5cd86cmeUNMEoO699z76n/85YPrKQZ2fO/j+vTtXbH33D8/+Z7F1AoBlUU2TgjV+%20eMANZ9MUfkFuR8T+4beWhi2/Jd//fjOsjxREObOyKa9uIS32m7sGU1bd2itPDufPN1atOny8F471%20yN5p4n5uEpzgq1n88QLblljykAA8ezj6O3fuxAFemzZtulnP/2lqi1kAkwSz0y8ingIRUqHfHyHM%20fFaVwK29cPiwnI+CZCaO6/3KGx+dixbVz5lT3XRme2pJ8swzyyZ+t1xWs1wKsoJqWD/W+bBNNp6i%2030Z4zhBoL4HJ6d/5zW/uiM3giLAglOK6LmeJsiv2b/mfXeucFSO0WteYceYxEgGFmCAFtfmXv6y8%206265qGNd1eMfPTclnXmquSGIHzdb6sCgppI6nQe5pxqOnKtD2FiiyjHH7LrssvfxTMxpD8A5hz4w%20TwAe+uDvh5dFEc2PYdWlS6Jak11jsN6PVX+s/ZtyFpXcddcnzz23Y4iHitm1NYz2sw41nW9VMMH9%20dgz4GEE8D/baoeAsHTxuxWYweXaHo2Di3Mubrotw0LUeM4xoHz3qJ0yX8hoS8CZAv9+bUVFIJHC9%20X4N8mo5h9+iIq65665lnzKnEm8+67423/zB+75tuF8Lpx0GnKMilhczusRUsuCJXtBSEhWAZ1U8x%20Of313/vedvcTav0ozIXML9t/6q7yPlIzHGsclXqEFUiyARdTU6lgJRK7eEeMiMfSqvETzu8+6t/N%20G3fcYloC7x9zAGvt2N6KxTlbEH/95z//wc9+tlXSlVoSa8bTAP+1ND0B2Lvp39/+2JAlrY81XyoT%20gMv3NEy8Ua68MpXMRzIkFltBrP+jj6biAJEDqqGU7trVFYMXvZ/nW37PrGzy+wt1vV86DI4+dvrq%20ng08E0bBzQynX86uyXlBtA92kKMgKxcD/XPeHYVuQPR+Pw4vkFMMliGizlT0dAP5rxazGK4dOHAg%20/tW5c2fIW043EGV+ZMz1BpUv9B5P0z71+7HYUGHKL55DHBqo477Yb7Kwvnnz7Xgu//LLqcQjDaVr%207aFZO/75/H/+8rlDDZ/1loJPWJ1dIKw/5u8ARFA0bedPRXbiE9+9mJx+xPTXa3xqDvsobNU3dxrw%20ZJvGhfCHty89Q+MNELIFF0QTIeOcLzj9WD6PsfyjdbdB3Ub9qU3j0Q2I9kHMz9BDTdsft241br01%20taEcXWYK4k9te12+vH7Jkr1xTVGiQlJ/9NG/LD95+NHnd/v46AldzrRMAFK1YD1Sc8VGVWve6cE5%20aNjyiwnAp5sy/aP3G7b8Nl9+xDddVlvWsqzWMLBOYf8JXO2MitWfrNmXugyb2m27EgOrS/gFOJ0A%20rr85hhNOf0P29EQUPNPWQH84TthrgR0I1dWJsI1GFByB6P3+e3EIjlN5C9F1rgXJTUeNGiUZjpDw%20aNKkSVfYkkP7kTFXElS+4PrXd4OwNpm0Jf+g6/3aVqzDIbvl/Pl1SO3fUBCu/dx/Fv1yxwvH1DZl%20f8e7yAeKjEBSEEqekyfdiPaRs3JwwKT7pq4jnf48iulPdwte1XXoK2WpXVAlhgHXHzO0lFOFXgAK%20Kcg5Ywqe8X0rRyC4vbTVBR/7/I/LTxVdn6res/Q/f/nJtpUSxJ96UIOHElIagvhTgeD4ns7zRdP/%20lLae3f4k8wTgX2UdUzsjNf44ArR5ruLyy+s2bMABfHV6xNVf/9pu5PCH/vMP3CTZblun8qqK9Ui7%20iZ3x9p9gOWFxbvT3djdtPf/v/8625YnQj+SzyK+F3V9Y38EjVjzCSlRBKnd9yAlnCUse2CSKXJ+a%20cCJR1tKYfCYQsd8PP3sxskc7lS1IWJ6+4L9IfWr5P1TJOQhS/MiYNQSVz+d+jML2pPn9wdf7j6Dw%201a8eWvfKjzo3ZElrKN/c+6+N7/3xxj0b8PoMBLZiFVMKtsZqEvcoQAbQgXUdDfTHEW/pNnUVnNMP%20RPuatbiq67CDJamc2SdW73n+nT+lvokl7hazUAx8HMeb03Jbp9PHHPXZ/Q0Wony34uUj5iEIG2gK%204m9Mh5VTayOsXCcAfT956eED1yKsIM9V4QC+t3AammnL7xV7Nr753h+nV6zuUJfdNdrKKmSHw5K/%20449frP914B2cGy3S8zqcaPw4kYf9+W1NQDl8zGJbdjKP00FuOvPhnrAT1iJDHRawsPlYzykP2GKK%20k4CFQJR+P3x0u++u9a3EE3wDW+CGY7+zuci+5mewY6yhIBcS/ju36QTWuzXRij8Zc/P86OQNcZhA%20orb2IuWCxL307Gkcd1zobprW+bRPHfeVeW0/KRra1VXfs3PV6g/+/Oh/nmvUic0DuuofuppMLkR8%20CCYeUrDkv/nIYHe8WYhOvzR3XVlnrPrL6566XIo4V8T2IM9GAsr8tp8cdOyXXmx5ZF7Xz38e57Cn%20tnsmP4g/AQwL0oTUer9ty+/Nu1/d8u7jN+x5LclNPrWq4pHtz4uFS1sd/Y1jGzctJNnmIrINy0B4%20eIg0RNhzrAX5LXAyPRYasMMEm9D2ZP3JUjzA8Rz+xxVr177/p4/eeCgVMvfPf8ZTL2uJzO9HOL6L%20049IfYTuAPe5iJJ0Kk8++aS8PbFhqyLOO5BzEBD2o1H+fmTMuoPKF/vdkKj1fs8Mnr57a2OLDpcd%209VmEbawva8z73r9yx/ES2Ip15QxOzvJtgpcgTvJCHkmUffus0T6F6/QLFKS0/0EnU5TthRemnP7k%20xN0axmstOp7ZbdSv2n/qTQS9NATxpzZhX3KJV6fy/0VAoGHL774/L0wd+NVQcDDF/+5c+cp7T43Z%20/+8Eth871B/d/rw8lNjavO0VXZsOtU2grUVrEs7SQXDd+vWpjxqsBMn57lJwWiWO+O3UqdlVV7XF%206zwsyLCHoYHDWz58Zx723d2y++XTqna2qatJPeBFnCQ25mEXDUuWCUTj98PpRzg+TIWzbj+3DO+/%20bjqcaMSIEdi5i/272HGrrZOnATj1AIcey5vnI3V3Q9Fr/ciYcQWVzzLqxKs/6SQDCRNRtm07HGOd%20K6vdT+wKbhW2afY79svf79S/ynxUKpz+nBzTaLEfm7r0EN9Fiw4/di90p18w3Fl+ys86fGZHaatU%20ElXM/zVyOngvZ++Ka7ucdeonLimAIP7sISpazTVnf3ZE95FXHHX26y3KBUKf6l1zt/3jmQ+XDDvQ%20dPpEMug8su35PlWNaRvg9L/TcIgeS0IJwA/G9wK+jnFC+Ve+ctjIurqSxx477rrrThg2LHVoY6KO%202kyHcsOG1vf9fME7C3dtfQxD46p9mz6GDV32gqRheJoK309TOyS0b/LbrGj8fmEAjx/nEeD0ATuS%20DU0pae+8807ZAICFfOzi1fB9eRowSJecU/vlGj9DVZsfGXPVQeXzuycjsT45S/7RrfebwUwvP6XX%20cRfPaddrZ2nLVPg4lm8TUvAcDFvNpMAwHDJfHE6/tPiGzoOO7XGlgUPTWEggPwk81rbHZ467aGLn%20gbualUkLvnDw/cVb/2w+UDy3LZu148VRB98VGzBLWdbq6Nzaw9r9Erj0UuOJJwykH8XBhaas1s1x%20BMdddxmnn5463+ZnP2u2rSkrq1+9WZdrg9xEOIkFj8X69Gn3w1vP2f+euUo8cUJO56987NwvfPKC%20I7ZZI+obqZwxq0E4JUsWCETm9+Nc4nROP8zeiuR3DUV8cS0TJkxw3+8LyRf0bO307fcjY746qHwW%20yCdSZUL8/vffbwxzb9XqcJahiIBhievrXYce/ckrU+liElWw1UzTzCHcRTMnYkUnf07kTRRRGkMC%20MRO4u0PvT3a/BL8P14vN38ghk+sycef68XvfECtu6dQfs5RcW8T6AxJA7mBkXsKK2Nq19RMn1uD8%20DS14PH7DDZ1P6jnv/Wcu3f9WQL1Ri2N+8pvfNBszptfpp3cbOzaVpOjIHcn/bHnUlI6nDe72pRO6%20X4ozHJ9sc/yLrY9Jfd8hMa6eoQmjMGf46ldTGWaRKo0lUgLR+P04lBjFcaVfrF2zZg1+I4xnwYIF%202La7efNmCQfCNODxxx+PtEXRK6t0KlKNZY9yJn8mQiEOvpWyYoW9LXYLg7K26EzbZN3fM3hwIKSB%20LPTUnIMewVPd1q1T9e7a1ci2IU9/OlMdLUzXKZ7thUAcTU5/0yTEQpe7OpyFkSv0Y4aLTN4Pk4Dt%20j2GYmLsY6/1Y9cfa/+am09/gBmFDSJAeCfrJesSXkb29LR7/w+3bV8n797c/6Sflp5gr8MTpBBBf%20fmmN9FQY00eNHzvSy8TxYRjOwn79an/yky3/+McH2OOLk6SbHfbiLtj71u+3/X3b1rk/37niLD2U%20zZ+jkukwWb26HktpyEbarRsmuiWPP94M+Yi0tG1b+V8XTDjm7O4f/+pZ3Ub9qGPflS1N+xbEws98%20pv6BB+o3bUrlS9AC1xEpTXv3Lmk6VdPMLJKP1jCDLc+vKdERqA1B8L3eASFah/B9ieRZunSp5Opx%20LDiuaxie4zRk+MGDAqlUXou87hnAkwRMKvCOHxlzXUHl05mqQOwCb2qu8RCkkndJ6Z49PZtc/42v%20vFKPuPP05VBVzekX3l1b25B40VRat6rd8+qjzUut79fXN9+4MZVD07N0veuuzg8+CLGd3/xmJkfS%20Hqqs7n/RPTU2C6G5eWmzDQtTO1KSVsoff/xoHAvVUHZec812hLwHKQcPVQ+8+H+ra5Dm74jSonnp%20qwtSgyi35cDBqkGX/NRuHqxKiIX7D1YNTmNhWYvSV54OzBAKz7j0p1XV1h5Bk8MpjLwH9x2oPOPS%20nzl2Ssuy5i//OdgdGLl52VC4Z9+hIWPutXdKuPam0wbLf7Z7zXcqXpEmHBgy5P2f/7wOh2R5lXQK%20kb//g5XzG47uspb6+lYbN653VNx67dqPwztsmNX/pXX3kUd/wSzWqmWL9X9K5dIIVBos/HlVdY39%20qnAKA9VOYTOBZvv2tV+woP3TT7dp2CRpLkhlgVx2Czr1evwvPwoBrWLPwc9e8YvKKmsvt2nV4qX/%20S90zJdXVbZ9/Hj9tnn++BZ7S20rVJz95YNiw/WefvX/YsJ27D3zuyvvs2nCRKlQFzbdt6/jww50e%20frjEdJxldffuu666qgLRuQ1THSg852v3Hap0uAnbtC576ambPJt8EvY0Nkw5PCXzTsDdjY9mvT8E%20FJ0SyO7bJJeWTkUMtpw9nMmfSVBYV15edeKJYknrV16xNMdqYerApWDFQ2HTv1sjlUFDqezXLxBS%20i4XoHhf7PDXnpEf2XHppxTe/WduxI37vuPlmdyMdLUzXZM/26ieFH0mfMnYLM+mRPLWwsJuck2Hi%208/YTsRiGSbounvSxwTu//W35b5vly7t//estPvrIbnygYeJngKvCFh9+eAxS5DV4NhtadERYv/1y%20PzADWRhOoZ+rXGTy9D4M3Wptb3379nvGjHnvkUde+cOTd3Q5DfnrtIv7Vu38ScWal7fM/9TJJ/c6%207bSeZ531yXPP/cTIkSd85SuYCnb/xjeOmzCh23e/e8wttxz9ox8dNWNGl3vv7fzLX8Lb7vj733f4%208587P/u34fvfwVH3gyq3n1JV0bNm77G1B5AS6hPVeztiY/G4cb369j12woTyefMsTv+BM87YfvPN%20b//5z28tWrTtttsOnH22eSQ63sAWDrUf+9iOiRO3LF++4zvfwbehXNLi3XePuuOOnsOGdXnggdKD%20B10WZCHsB6zLJ3Nh/ytn6/3SMQIX8y2XtXl9buBHxtxbQeUD9bQoj2qmCD0bN26EzhOb3O5AxtiF%20wyu8+moDB5ijIDu16WAau8KDh6o69BlvX01Pt96PRXbDOHyojZuFSK9ZVZWyAUsIeGjor9gVYnW5%20/NQJNbbFb+hr3ry0emPqkUK6Eh5gGo2RK6yrq9u0aVOzZs169eqlde4/UNmp3/XVttXlFi1Kq/7l%201l5ocFToj72zlF0hlpa79Ls+zeJ388p//cq9uhgs3Lv/UNfTvu24kFlW1rzyzcAWphSe/u0q25oZ%20WhpOYSY94tjLe/YdPOr076Rbuz34xi9daoyhRyJvLxTu2nPgmIH/bV96xFq1e3sdAabTBuHWrcoO%20vP6Acc89hz9Lscfxj380Pv1pbZedYcXu/d0G3WA3z2W9H1XhiYLorK2tRSRtaWlpTxx+8tnPGs+n%20svXjmLxhx3wRJ2ZYeDZa6Er5CIUNkikLB99YWelwSFk4hRn2st3Cwlbo2N7tFfs+fuZ38ZT784c+%20uGzfFqTLbFvvsBaeIZm0lyPf6Be/aIwYkfrp3Nlu4bade08YchOeSNs1tG3Tct+G+9NqhjOATTL4%20ec+0LbhDhwPXjvv0//3nnWqHxet2bVrudVHYVFO0Xly2wIbSa/au7QpiWu+XuRdyd9otSH02NYT+%2047d57X/37t0WYT8y5kuCyofCW3AX5XxrL7YoidOPKZBvp7/guoENIgESKBQCSGmi54QgpTW278fz%20lBs5wRqcfpSxx3zO7vQXCl+24wgCf2vV7ZquQzodf/n/6zrsL62PqyzBGc9ZK337pk4bwGECyDeK%20DbiIKOtsnVtmWjfijb/3vdq33/5o8uRqHG4gZc+eNjNnbN70yMydqz5eY9pIkGllRXF9TH6/OPfI%203anZezR5v2zwlQye2OarAkuWLJEeOBkLJA3Fj4y504LKF0WHezYy56f2ZieDp2e7KUACJEAC2SJw%20zTXG/PmNyt99N+X64/S3bJbOeMjQlBPswIyZT7c7IZu1UXfiCFSXNHu4Xc+RR5/X5dPXGDU1xt69%20xocfGm+9lTpoHJtlkS0HLtb//Z8xdy6e8Nf9/Ofbbr555w03pJx4ZA1CXp0rr6z6ry8vafvxf7Q6%20BntwXynrhH3q75e2wbb1/c1aGKNGpc4WwEHC69alThfGY6Xsl11XXrkVowZ7/5oOM25RX3fTng1b%203/3DfTtePKnaulKcfYvytYaY/H49hGv06NE4fxfO/ZQpU4TZhUhZaBgXXXSR/DkT4SUGzm6bh0kC%20XmBWoGmC/MiY+yGofL72YbR2n3aaITvP3n7beOedaHX70hb1iV2+KqUQCZAACWSVAJIS/uUvRps2%20qUr27Em5/gj4yU4p//3vO82a1ah74sTKa8dlpx5qzRMCpaVGu3apczlPOCGVTR8p/5F4B3fgl79s%20jBljfP3r9ePHV1x9dQWOB4YTj1MCkDznd7/b89tHL/z4iM8dMwI5N0899oJe3S8+7uNfxWOEoz/9%20jdS5WhA2hZjGBwKhyNgB+Oij1f1TS8ZSJux94433nvz19mX9qnbGZ0ne1hST3z8RW4saCrz5rl27%20Yvlf3Hq8GIPbzsAdeJ4IzJ49GxFBl112mfx5kynE3FMGKYAkoAjJgnzqzNuOy6bhejJIPA+jLU3h%20en82+5a6SYAEckYAoc84kwiJ2KVcfLExZ07kxpQsWXL05MmNajHZwNFOLCRQYAQuv3zXkmfHHHf+%2031sdPsfg6/s2vfT+n3Ae8KCDHxZYc6NtTkx+f48ePebicdKRBfH3T+AUuobiKIC0njIr8C9jrsGP%20zmhpFoi2HIb44wn4v/+dwohVsYYAMBYSIAESKBwCZ52VivDR/A1f/3oJ4iUiLG+80Qxh/VKwgvPI%20IxHqpioSSBSBP7X/xDnHjBhx9HkLW3dXw7Ch+W//fsr4wQ8SZWqijInJ70eb4cHj0C6J5kdBwM9z%20zz3XF5tCmopZAFMCpO1/9NFHLbD8yJgvCSqfqL7JmTE59Pu52J+zXmfFJEACsRDo0yfl+vfvL5WV%204KTV2bOjqfjAAeOKK4zt26Gt9qijEAthtGgRjWZqyQIB5N6x/2ShngJXubj1caOO/sJnj/niE21M%20m1h0J32Btz5M86L3+3HwlhyoZj+0a+TIkatWrZL/IoLf7PSL7Sqwc+fOdAcAu8jgEnvVfnSGIVfA%201+Rway+D+wv4vmLTSIAEhMDxx6dc/3POkb+6/vSnXWbMiIDNlVcaa9eKng+xr7chnQZLMgnsqNjX%20+tPXtus9zvJTfsqEZBqccKueb3X0JR87Z1C3Lz3SrucHzdumdiezpCEQvd9P1HlP4LjjEHeVasXB%20g6mN/3EWrvfHSZt1kQAJ5IoATiOC63/BBVJ/JyxPjh+fkS1IxvLkk6LhPz/5ycEzz8xIGy/OPgGc%20F4ED7+0/2a+5YGtY1bLr17oO+9SnrjR0i0vBtjV8w+j3h2dXyFfmJNQHh0qq33/GGYWMl20jARIg%20gWbNjKeeqscivZT7709F6YQr99SkDjZqKHVTpuz5ylfCqeFVJEACBU+Afn/Bd3GoBubE74fTjzTD%20KCeddDjlRSjzeREJkAAJ5AWB+t/+dpe6+489ZvzXfxnVDmeaurUF2TFuarrkG9+o50pnXnQ8jSSB%20HBGg358j8AmvNld+v2DRRKIJp0TzSIAESCBjAh/98IcV45pS7D/9dPsLvtSl9pBfrasMo+mBgfH5%20zxsPPeT3QsqRAAlETQDnU3Xu3BnZ5Ecgaa+p4P0JEybovyTXfCCBCC2l3x8hzAJSBb+/pCTVHpzt%20t2NHTA1r2tRb3X+gJctBTU1tTDawGhIgARKIncAOnFRzxx1SbfMXli989y+frNnnbcVHDU6/zBGQ%20G9SWAc9bQ+FKOGbLwZuF22K2LPcEJk+eXFFRYffpMQ3A4VTyr8WLFw8bNszs+mNW4C4QbcPo90fL%20s1C0Iftb7Kd31f/zRcF31l1/tWc5KBSybAcJZEognUNTV1efqWpen0MCyDj+i19I/X0rd/z1P4v7%20eh4+iu0A/2q4oMxIperXE8Fy2IpkVL1z137HbDn4ZulwSmb7p5PRQFqRQALr16+Hc283DJMBOanW%20XMaOHat/egpE21j6/dHyLCBtMYf6bN1asvVt4NtX0nx1807WFAd0aArozmJTMiGwZ9/BdA5N+95N%20sSKZVMBrc0jg+uuNhx+W+nvU7P3rh0uGHUp/8ug1hvHXJlsfLTP0EzuH9iep6nTZcvDlkiQzaUvh%20EJg0aZJjY5C2Hu/jWKp169Zt375djrHavHnzwoULRd5TIFpG9Puj5VlA2mL2+5sy+axoeVQBQWRT%20sk4g3eJ3AX+7l5U1d0z/V1NHhybr91vWK/ja1/Y9Nr/WSIVZdq099NcPF486+K5DpT8yDI3kn2kY%20l5Rm3TBWQAIkkJ4A4nYQwGP/P96X8B4cI4tDq7p06TJ16lQRW758OX57CkROnX5/5EgLRWHMfn9T%20cP+L9PsL5Q6KoR37DlSmXfzuw6f5MfQAq4ieQPXIUSO7j6xohtgdo6y+7ukP/3rZ/n8fUc1vDWNK%200xvfQTKf6G2gRhIggUAEJG6np+2wvA0bNogePal2cFMQ9ZqG85E8BQKZ4UeYfr8fSkUpg11iEi2K%20U99ffz3rCLjen3XEhVlBWQvnxe8CXu8vzI5kq0wE/tGm23nHDH+7eTt577Ft/7hu75uN/3/OMFIO%20RkO50DAas/YTHwmQQM4IPPDAA4jbQSTP7bffbjFi9+7d8k7v3r3lBZb8zTKeApG3in5/5EgLSGFs%20W3tra/XELq73F9ANxKaQAAmEJLCmrMt5R5//Slknuf7+Hf/89rbXS7aYsnaehr28IZXzMhIggagI%20IBvPD7Ap3zC+//3vd+/e3b9ax7gg8+WeAv7rMkvS7w/HrTiuii3UB4v9DaHJb5R13FbaqjjgspUk%20QAIk4EZgY4sOcP2Xt/yYCE19/6UWX6g13m/4AyuGcPrbEiAJkEBGBA45lUAa77nnHkTwY7H/6quv%20DnRhroTp9+eKfD7UG5vf3xTcv7IVN/Xmw41BG0mABGIh8GFp6/OOOX9R6+OktpL3mmqF0/+ZWCxg%20JSRQ0ARaOxX/Ld6yZcsdDSdvzJo1yxLA419JzJL0+2MGnlfVqd+P1LMHD2bR9MPB/Y0rW1msi6pJ%20gARIIH8IHCxp/sWjz/t9208cNvkBwzjiMND8aQwtJYGEEWjlVPzbiFN4IYztvEjX4/+q3ErS788t%20/2TXXl5unHJKo4mrcBx81or6/VzvzxpjKiYBEshfAqOP+tzDXXoZrRsy+Vybv+2g5SSQLAIHnYp/%20EyUEH5t6SxoKDuKVa/E+/pwxY4aLquHDh7tX5Cng306zJP3+cNyK5qoYtva+9ZbxzjspoO3br295%20xD73oqHMhpIACZCAB4Ebug+q3FVq/A9BkQAJ5A2BcqyfNhTN14l9wGbrPQUibyr9/siRFpbCplCf%20kpUrs9WwpsX+ukGDs1UF9ZIACZAACZAACZBAvAQ0fef69eul5hVNGxr79++PPz0FIreXfn/kSAtL%20YQxbe5vGQB3PmS+se4etIQESIAESIIECJlB/ZFm6dKk0FiE6+M/NN988dOhQpPrBO/PmzYPrj8X+%20KVMaT90bMmQI3vcUiJwe/f7IkB6qrHb8qa6pjayO+BX17Yvwm1S1W7e2eF8SyEVdDq/3D4paNfWR%20AAkUAgHHj9a6uvpCaBvbQAIkUNAEZMsvcn3269eva9euq5EopWEr8MiRI6XdngLR4qHfHw3Pyqqa%201p++tn3vcfaftp+5Lpo6cqWlaRm+1csvR25CSU2NnthVN5B+f+SAqZAE8p7A7r0HHT9dO5wyPu/b%20xgaQAAkUOoFp06YNGDDA0so5c+boO54C0RKi3x8Zz9LSZjW1dfafvF+Uatramw2/v9W6dY0d8JnP%201B95eHVkHUNFJEACeU6gZVlz+0drbW3qsD8WEiABEkgyAeT1X7Ro0fjx4yXgByFACAdCeI/a7CkQ%20bevo90fLsxC1ZXO9v1XTThfjjDMKkR3bRALFSIBhOcXY62wzCRQ9AXjzEvAPR98MA549DvbauXOn%20/Mvs9IuYp0CEaOn3RwizQFVl1e/X9X5NGFqgFNksEigSAunCctr3YVhOkdwCbCYJkEByCdDvT27f%20JMWybt2wAwXGlFRWtnrllWitOhznw/X+aMlSGwnkjkBZC4ewnLo6huXkrktYMwmQAAk0EKDfzxvB%20B4GmJf+WkW7tbfHOO80//DBVfceOxqmn+rCDIiRAAiRAAiRAAiRAAiEJ0O8PCa64LsvO1t7Dwf0M%208imu+4mtJQESIAESIAESyAEB+v05gJ5/VWqIv27DjaINrbmpNwqM1EECJEACJEACJEACfgjQ7/dD%20qehl4PeXloJC2ZYtxvbtUeE4HNzP9f6omFIPCZAACZAACZAACaQhQL+ft4YPAnD6m5b8jZUrfVzg%20QwS7hHW3ADf1+gBGERIgARIgARIgARLIhAD9/kzoFdO1kfv9K1Y04uvTx2g4zIKFBEiABEiABEiA%20BEggewTo92ePbUFprle/X/31DNv34ouNCrjYnyFJXk4CJEACJEACJEACPgjQ7/cBiSIgEPV6f4nO%20HxjczxuMBEiABEiABEiABLJPgH5/9hkXRg09e9YcdVSqKTt3Gq+9FkGbuN4fAUSqIAESIAESIAES%20IAG/BOj3+yVFuUN6tFbmW3s3bTI++ABIa8vLDcT3s5AACZAACZAACZAACWSZAP3+LAMuIPVR+v1N%20QT6H+vYtIEJsCgmQAAmQAAmQAAkklwD9/uT2TdIsO+yjZ761tynI51C/fklrJu0hARIgARIgARIg%20gYIkQL+/ILs1K406vN6/dq1x4EBGdajfz/X+jDjyYhIgARIgARIgARLwS4B+v19SlKtr27by059u%205JBJiP/Bg8bq1aKH6/28r0iABEiABEiABEggHgL0++PhXCC1RBPi3xQmVHnSSXXt2xcIGjaDBEiA%20BEiABEiABJJNgH5/svsnYdYdDvHPZL2fwf0J61aaQwIkQAIkQAIkUAwE6PcXQy9H1sZKTeWZydZe%20BvdH1iFURAIkQAIkQAIkQAJ+CdDv90uKciCAyBwDGfdR3n235O23QzJp8vsPclNvSIK8jARIgAQi%20INCqZS22WTn91EegnSpIIBcE0t/VubAmeXXS709enyTcokGDxMBmq1aFsfRf/zI+/DB1YZcuVb16%20hdHAa0iABEiABDIm0Km8aue6hwwDm6zsPw3rOywkkG8Ejup8aNvaB9Pc1Z3yrTVZsZd+f1awFrJS%209ftXh/L7NUDojDMKmRLbRgIkQAKJJ1BZVWoYNWl+Em89DSQBJwIHDzXnXe1ya9Dv57gJSCBDv78p%20yKd+8OCAFVOcBEiABEiABHJD4FBlteNPbqxhrSQQlgD9/rDkiva6DON8mvx+g35/0d5CTg1PH5GJ%20+GMWEshLAoyez8tuczJ6R8W+1p++tn3vcfafDqeML5hmsiHFQIB+fzH0cmMbDx6qcvypqg7iWh1z%20jHHiiSmNVVUDK7cFw7d/v4GzfqUwzqcBg2OP1NQE6ZFgfRBMOt09E62F7drU7H7lN2kiMnnCQ7Au%20o3RCCHTs4BI93yEhRtIM/wRatWxRU1tn/6mtrfOvhJIkkHMC0fv9CxcuLGkoy5YtszQP/xo4cCD+%201blz5xkzZuzYsSOoAOQ9lYTQmfNuiMEAPKBsc/J1HfqMt/9gASOYAU1L/oMOBfT7Nbi/Xz8jP0/s%20cvSDq8O66fsPVDp2Srs+iVhA2pfGPNxC7aO2sKoan0WOccZJmQIFGyOUJgEkQEsbPc+7mvcHCRQO%20gfXr148ZM0ZcX3i5du8X7u6ECRPg+kJgxIgRIQQihBW933/vvfc62jdv3rxRo0atXr0a/62oqJg0%20adIVV1xhlvQUgLAfmaA6I6SZcFXNS5s5LlfU1QVcrmjy+wdWbg/WZA3yyc/F/gMHqxzd9Eyc4BbN%20S+2dUpeYBaQWLRzMg8G1Qe+ZYDcKpUmABEiABEggDwjA6T/nnHPmz58vtsLLHTZsGFao1XQ4/fD1%20Z8+eDdcXby5evBgCZtffUyBaChH7/fDL0SS7iVu2bLnsssss70MS8vKmp4BPGXMVfnRGS7NYtKnf%20H3S9P/+D+xPuphfLHch2kgAJkAAJkEACCGAVWxx6c7nyyiv1z8mTJ8uSt7mMHTvWv0C0rYzS74cT%20b3fuxdxnnnlGXowfP76+vn7u3Lny59133+1TwI8SCxrPSqNFWUTa4Pc3R54s41PVuz9WizNffBcm%208fSNioIkQAIkQAIkQAJJJoD1ZVnsHjBgwPaG0rNnT/yJmYAu+csCd6dOndatWwcBSOLPzZs3+xeI%20lkBkfj/i9dM5/bD4ySefFLsnTpyI3wiEkpZjDiRR/p4CPmXMdPzojJZmsWhr1kyz8Qzyv7X3jXrj%20o49SiI46yvj0p4uFFdtJAiRAAiRAAiRQiATeeOMNadbUqVO7NJRrr71W3nn11VfxG/E88jQAfm/f%20vn0hAEkRWL58uR+ByLFF4/fD6ceTDhgHb14cektZuXIl3sF0p0ePHvKv888/X168/vrr+O0p4FPG%20XK8fnZEDLRaFurW3yneI/4omNvkZ3F8sPct2kgAJkAAJkAAJ+CAwcuRIxLCg4IWI7969W14cf/zx%20+L1hwwb5E06/vBjclMR8zZo1fgR8WBFMJBq/X+qEx79o0SLMZuwmyHRnUJOziNfl5UccA+4pgEv8%20yJirDiofjFyRS6vf739r74v1jczo9xf5zcPmkwAJkAAJkEDBEcDqPvbvollY5j7vvPPwQqcBvXv3%20luZanGRPgcghReb3T58+PZ3T7270Cy+8kKEALvdUYqkiqHzk3PNeYZPfP9h/nI/6/TyxK++7nw0g%20ARIgARIgARI4TABJe5CoR1acZ82a5bgIbublmAUnkEA4+tH4/Tc3FM9GhjMx51cdcipilTzfkeJi%20p1ks3Wu7Qj9Xuchk18JPfrL+2GNRRce6qj5V1p3sDij2Gsa6RkT1gwebiWWVYSad4tgj6RT66ax8%20VJgJQB0UR8AJPp7td0hi7xnHJkfOMFEK8/Gudvm4DjeQg9/UDt8d/r5M0lZl+SY6siEhDDxsoVMX%2048vP25JAX09+yAdSGPEwcWnwkZ6A36/49Ar9oMjHcRdxj7g6XX6+qUXGxcELM2warhk+fLgs9iez%20lNg/AXGsgN5SIYzGjEcmMUuXLh06dKhoEJ1ggWcC8o5uCcCDAswZPAX8KLFY60ennwYqELvwm2++%20KW/iyNt+F8x0PLevtLTZawtTmx9yWyqrak678O4ILTx6woTyv/0Njbq665Bft2s4wbehtG5Vu+fV%20R5uXHnkmwF8No2EUVPbu/fYf/+iI4lBVTf8L70ZuePt/cfLAhuAMcVRZ/4vuiVjhV+6pqbFa2Lx5%20sw0LwnTxwUPVAy6OWOHAi//Xfo4Y0o++uuDmoHcgzisYdMlPHU8li1Yhzuvdse6xshYOXV9f32Lj%20xtTuKMcSuYX7D1YNTtPkshalrzwdmCEUnnHpTx2PxA6nEIepnfnVn0Wr8IxLf+bYyy3Lmr/85+8F%20vW327k9ZaFcYThtqh8KzRjs0ObTCPfsODRlzr51hOIXptOG83v+smt+yzOGIrvr6Vhs3rk8HNp3C%20TuVVH6xMjsKfV1XjoD1rwaG26/+Uyt6R27J776Fhl/8c33p2M1q3bLEuuIW79hw8+4pfxKCwdasW%206/4vDMCKPQc/62Rh5ArbtGrxUnALd+4+8Lkr73MEGFrhOV+771CltYuP6nzo7eWPt27l0PV1dW02%20bXpJb4mTTjop3V3qvpKb7iqzr4isPitWrMBquPq6dpcYelCRp0CIoeTuxkez3h/CrDy6pJVTEfvl%20eDYpLi0yi6V7bVfo5yoXmWxbePCUU6WKQX5C/F9sxHOob18LMRPBiBmiezLpFAeA6RX66SzHLnb5%20BPHUGYPCTADqoPA5TPygyPZdnY2BHCdDz3smaKd4KozhJnTpFE/zHNsbucIQX2f2QZGrYZKQceen%20K4N837n1iZ+6cvhRE848l2+7hCiM85PQ/13t4uAFHddIzQk/HtnqcSFeI21/UA3xyOd+vV/mQPJB%207PhAQCdJfmTM1ILKByIuynVSiFls289cl241vWbTQ+7KoWfjxo3QeeKJhxfOA9ljEbYrxOJ3+97j%200i1+Vwe3sHLRkpZfHI56XyrrfPqxX1YDnNf7v2QYCxpEfvtb46qrBJ2lyQcPVXU4ZUJNjcPyWPPm%20pdUbHwzKEIvB5aeGVOjYI1DY8dQJjqvpVcHNQ3P2H6js1Pf6cApxyvKmTZuaNWvWq1cvJZNS2O/6%206morQxy7W/UvD4B2hVha7uykDdWFVtil3/X2dVaX9X7DKMNTImmgo4Vd+n3Lcd2xrEXzyn/9yv2e%20sSvcu/9Q19O+7aywrHnlm6EUnv7tKqd1x7JQCvfsO3hU/+9ErPD076Rbuz34xi9dGDrehLv3HvwY%20LLQtBmMl2F2bYxfjTSg8esB37CuFoRXu2nPgmIH/HZXCdNpc1vvxWNQwDqS7qyt27+826Aa7eS7r%20/WaFtbW18DlKS0sljzhKVhQOvrGystp+b7RuVXbg9Qfcx53dwky+7HCtXeHOXfuPO+NGfOvZNbdp%20Xbb/tcAW7qjY1/3M78agsG3rlvteuz8EwO0V+z7uZGEmCo8/67t4KG0xpm2blvs2BLZw2869Jwy5%20ya4NyjNQOBFug8U8l/V+w2iHx4cqb/HiMrwJzZd37txZovzdl/PF43VZ7ze7xIHM06UNxwcXMa33%20Y2szjJbEmlJ0C7P86SngU8aMxo/OQCgpbCZQN3Cg/Hla1c52dQ4fr0fgYhJP3j0kQAIkQAJpCMCB%20c/wJF3FBzNkj0LolQmgOOv247XLMnj0J1OyYu1ITesqhVVo0uWU6gcgbGJPfLxQwAcLZZtKGJUuW%20yIuTTz4Zvz0FfMqYAfnRGTnQIlLYtu26lo05Wwe5Z/HHCQ2S5f/oo41PfaqIELGpJEACJEACXgSw%20PN/m5Os69Blv/8EzW6+r+f/4CHTtVLltLeIXOjj9pJZ3i61gtV7CqORQXinmNW5N37l+feOWHsT9%20i1j//v3x21MgcqQx+f0XXXSRmD5z5kz8BiCc1IsXSPkvWYA8BXzKmAH50Rk50KJSuKplV2mvR4h/%20U3C/wcz9RXV/sLEkQAIk4I9Ay5YtEIZq/3GMnvWnklJZIXCosrlhYMnf8ScrNSZZaZ8+fcS8u+++%20W9a1J0yYIEE+cogt4tgl9gR+L1x/LPZPmTJFLhkyZIgfgcibH5PfrymNcKIBJkaXXXaZtOSmm26S%20F54CfmR04oWjE/zIR06z2BSubHWUNHmQexZ/9fuZub/YbhG2lwRIgARIgAQKlACO6ZWNNFjLxgv4%20t3JuF8rUqVPlxZgxY/Abk4F+/fp17dpVVr0hrEf8egpECy8mv79Hjx5z5861mI4tC9JaFE8BnzLm%20KvzojJZmsWlb1VL9fonjSVOSt96PzcdO4YleuxSKrYPZXhOBhsRwjlGtDgnjSI4ESIAESKAYCDzx%20xBOyom8uyOqjbv20adNk7d9c5syZo396CkSLMSa/H0bDxV+wYIE0HoyQtv/RRx81N8ZTwI8SCx0/%20OqMFWlTaNpR12tUM6VaM42oP9Kg5vE3+CAi7DePlpjeSEefTpnXNnlcw5OwRiu2LqvvYWP8E2ret%203rXe8Z7BXVTuXw8lSaCwCaSfHjuczlHYKNi6IiHQt2/f5557bvTo0dJeeLnwdXFerzYf0ezI24OZ%20gEwPsORtzuWPdzwFoiUZvd+P5slpc3pol1qM2c+qVavwr507dzqe7+spAFUuMtBpr9qPzmiZFpW2%20FZ5L/prJZ0CJ0RrZ6xJRampw59vDE/nNlIjeSaYRVVWlCY9qTeNyOSTGTSZhWpXvBDp3rNzx0q/T%20bPrsmO+ti8f+9BMnZsuJpwfC1ALXH+H74n/Cy9WVfrPrj5kAXF8IwEm2u8dw/d0FwpiV5pro/f4I%20jaOq5BNY6bm193CQj9spWslvKS0kgSQT6NDO5YlEkg2nbQVFoDLx0+Mk4+7ili2HE6ckd10+2Ua/%20P596K4G2rizTlD7bnM07vKmXfn8CO5AmFQ6BNE8kuN5fOF3MlhQ8gUOV6Z4rciAXfOfH1ED6/TGB%20LtRqVmqcT9X2ZobTg8jDJ3YVKgO2iwRIgARIgARIgATygAD9/jzopCSb+FFpq3+1wNZGo0V9nUMW%20/w2GsbPB/G6G0Yvr/UnuSdpGAiRAAiRAAiRQ4ATo9xd4B8fQPLetvYeD+2MwhFWQAAmQAAmQAAmQ%20AAmkJUC/nzdHpgTcQvwPB/dnWguvJwESIAESIAESIAESyIQA/f5M6PHaFAFziL+VCIP7eY+QAAmQ%20AAmQAAmQQDII0O9PRj/ksxVI5VlVkrqRTqzec0wtDjRtKrsM45Wm14PzuYW0nQRIgARIgARIgATy%20nwD9/vzvwwS04PCSf+X2w+ZokM8gw2iVACtpAgmQAAmQAAmQAAkUMQH6/UXc+dE1fYVjFn9u6o2O%20MDWRAAmQAAmQAAmQQIYE6PdnCJCXpwg4h/hzUy/vDhIgARIgARIgARJIDAH6/Ynpinw2BCH+Yv4R%20Kfy5qTef+5S2kwAJkAAJkAAJFBgB+v1Z79DWrXC8Nna72n+qsl53XBW81bzdu83borbyuqo+lRWp%20arGjd1dD9ccZRo+47GA9JEACJEACJEACJEACaQjQ78/urdGqZe3eV39rGDjR1v7TLrt1x6tds/gP%20OLgjVTOD++Plz9pIgARIgARIgARIwJ0A/f6s3yG1tSWGUeP0U5f1umOsYEVTqM+AQw0pfRjcHyN8%20VkUCJEACJEACJEACngTo93siooAvArq1d+DBBr+fwf2+sDkLpY8Nqw6nNXKF4czgVWYCrVthOcAe%20/oc3WUiABEiABEggKwTo92cFaxEq1a29pyC+/23D2NDEgCd2Bbwb2rap2f3KnDSxYe0DKkuJpxS+%20nE4hws9YckCgQ7vqXesdO6U8B9akqTLNzAQbllhIgARIgATykgD9/rzstgQafaCk+dqyLmJYs8fq%20Gy08wzDKEmhs0k2qrsHAjDI2rLo6nUL6cDm7GaqqStP0cs5MMleMmcnOdb9JM/9MhIU0ggRIoAAI%20tG7p+OQTz0KbHIkCaGSSmkC/P0m9kee26JJ/ybMmvz/PG0XzSaBoCVQ5TxcLamNS0XYuG04CSSBw%20VOdD29Y+lGZ9oVMSLCw8G+j3F16f5qxFK1oeJXWXvNpkA4N8ctYbrJgEkkUgTdQQVvX40ClZPUVr%20SCBOAocqm6d58snNTlnpB/r9WcFanEp1vd9o2NmbKojzYSEBEih6AuXtq9JHDXGTSdHfHwRAAiQQ%20FwH6/XGRLoJ6XmvRcWezlqmGSpjPxw3jE0XQbDaRBEjAB4E0UUNY0mPgkA98FCEBEiCBKAjQ74+C%20InU0ETi85I93uNjPG4MESIAESIAESIAEEkOAfn9iuqIgDNEs/qnWMLi/IPqUjSCBIiGQfgcCn0gU%20yS3AZpJA4ROg31/4fRxnC/XU3lSlXO+PEz3rIgESyIBAxw7cgZABPl5KAkVMYP369WPGjClpKL16%209ZoxY8aOHTvMPPDnhAkTOnfuDIERI0YsW7bMQstTIEK69PsjhElVxsqyro0UcGdxvZ93BAmQQP4Q%20SH+iAjMO5U8v0lISiJcAnP5zzjln/vz5Uu3mzZsnTZoE516tgE+PP2fPnl1RUYE3Fy9ePGzYMLPr%207ykQbYPo90fLs9i1bS9t9VDHTxk4j2iiYSA3FwsJkAAJkAAJkAAJFCiBa665Rhx6c1m9ejVW/eWd%20yZMn40+LwNixY/UdT4FoydHvj5YntRnfPmZwTWUzYzpRkAAJkAAJkAAJkEDBEsBiv/j0PXv2xEp/%20fX399OmN3s8vf/lLafa8efPwu1OnTuvWrdu+ffuAAQPwJ4QXLlzoUyBafPT7o+VJbSRAAiRAAiRA%20AiRAAoVPAEE70sjvfe97PXr0wIubb74ZcwDx7PEb8TzyNAAbAPr27dulS5epU6fKJcuXL/cjEDlE%20+v2RI6VCEiABEiABEiABEiCBAifw1ltvSQt79+6tTcXWXn29YcMGeQ2nX14MHty493HNmjX401Mg%20coL0+yNHSoUkQAIkQAIkQAIkQAIFTmDWrFmI7UEZOnSoNBWbdOUhAAJ78Hv37t3yvk4MsORvhuIp%20EDlB+v2RI6VCEiABEiABEiABEiCBoiPw+OOPS5sR2OPeeI0RSifmKRAOLv3+cNx4FQmQAAmQAAmQ%20AAmQQB4TOOhUQrcH23zHjRsnl19++eWh9WT1Qvr9WcVL5SRAAiRAAiRAAiRAAkkk0MaphDN0y5Yt%20SOQv144ePVojf8Jpy95V9Puzx5aaSYAESIAESIAESIAEEkqgtVMJYSvC+uHrS+oeZOq87777QiiJ%205xL6/fFwZi0kQAIkQAIkQAIkQAIJInDAqQS1Tw7clUT+2M774IMPWjbvOiocPny4e0WeAkHtFHn6%20/eG48SoSIAESIAESIAESSDSB1q1qDOOg0099ou3OK+P0wF04/c8995ym7EQjysvLpSmarxOTBHPj%20PAUiJ0G/P3KkVEgCJEACJJB1Aukdmtqs180KSCAfCHTtVLlt7UOG0cHpp2M+tCAPbMSxu7NnzxZD%20H3nkEbPTj3c0fSe2/IrMihUr5EX//v39CESOgH5/5EipkAQKn0DrVnCtHNeQsLbEQgJZJ1Devmrn%20ut+kcWgaF9iybgQrIIHEEzhUWWoY+Fi2/3B6HEHnYfH+yiuvFEW33HLLyJEjLUqxu1cS+c+bNw+u%20P+SnTJkiMkOGDMFvT4EIrDxSBf3+yJFSIQkUOIF2bWp2vzwnjcvVvsAbz+YlhkBVFR2axHQGDSGB%20oiSAbP2ylxfljjvuKDmyyPuSyB9i/fr169q1q2wD6Nmzp04SPAWiRUu/P1qe1EYCRUGguhofHVxD%20Koq+ZiNJgARIgAQcCTz55JOeZKZNm4YMPxaxOXOwdtZYPAU8qwgkQL8/EC4KkwAJkAAJkAAJkAAJ%20kIDh50hd5PZZtGjR+PHjJeAHWXqWLl1qzu7vKRAtaPr90fKkNhIgARIgARIgARIggcInUO9atP3w%207GfNmrVz506IYw5gP9LLUyBClPT7I4RJVSRAAiRAAiRAAiRAAiSQUAL0+xPaMTSLBEiABEiABEiA%20BEiABCIkQL8/QphURQIkQAIkQAIkQAIkQAIJJRCf379s2TJLhiP5c8aMGcoGyU2Rz0jenzBhwpYt%20WyzYPAXsmENcktC+olkkQAIkQAIkQAIkQAIkEJZAfH7/u+++624kHPRzzjln/vz5Iobzz5D5yHyg%20saeAo9PvrjMsN15HAiRAAiRAAiRAAiRAAvlEID6/f+vWre5gLr74Yj3+QCTx5+TJk/UqTwG7/hCX%205FPv0VYSIAESIAESIAESIAES8EcgPr9/7dq1YpIl69HNN9+MN7GWv3nzZrzAGv/27dvXrVsniU6x%206i9L/p4C9vaGuMQfNEqRAAmQAAmQAAmQAAmQQJ4RiM/vF7ceBxY4EtKzD2666SbkMe3bty/OOBDJ%20FStW4LengF1tiEvyrPdoLgmQAAmQAAmQAAmQAAn4IxCf37969WqY1LFjx1tvvRXbdnv16mXe0atP%20A04++WSxfMiQIfLi1VdfxW9PAXt7Q1ziDxqlSIAESIAESIAESIAESCDPCMTk9yPkRsAsWbLkjjvu%20wAss/0+aNAlJe+T9Xbt2yQus9MuLDh06mFl6CtjBh7gkz3qP5pIACZAACZAACZAACZCAPwIx+f3v%20vfee2GPZuYvw/YULF7qb+uyzz2YoYL/cU6c/epQiARIgARIgARIgARIggfwgEJPfL7E6KPfffz+2%207aJo+P69996bcFQHnIrYbN6jHKIV9sstm54z+TOQhX4qCqTQkYallkAKY7HwiErs5uHf6Xo5nHku%20Cv1UFMjCcAqjv6uDa3QfJi76wnVKcAMdPgcy+WTIZJhEPu48FcZwExbfMAlxDx6+CZ16JAsK034W%20pq3LYyCnVxj5QA6j0HBrcOQKC3LchbgLQ3/4+/++C2FVvl9SYv9IRfC9fnBkr3nI0nPiiSfK8j9s%20GDFihGzDVXtwztewYcPwDrYCL1q0yFPAbmqISxzbq0Ds/33zzTflzarq2n4XzKytrbPItGpZu2/D%20I6WlDh8Z9fWlGze+lj3CFs2VVTWnXXi33UKIlZY2e23hpKCWHKqqOd1JYetWtXtefbR5qRVFfX3z%20jRs3uNQChf0vvLvGxhCXNC9ttiGEhZXV/S+6x66wTeua3S8/1rx5cAuh8Cv31NRYL2zevNmGBYEB%20ol0HD1UPuNiqsG2bmor1j7WwmdcwOjwYQuHAi/+3uqbWzDmlcN1jLVpYzW5Q2GLjxsY5ub1rDhys%20GnTJTy3aINauTc3OqBXuWPdYWXQWwsgWzUtfXZDKFRao7D9YNdipye3bVm9fO7eszJFh2caNr6Sr%20BQrPuPSn+HywCHRoV71tjYPC+no3bVCy70DlmV/9WbQKz7j0Z/ZeTlmIJts6pb6+5caNL7tQ3bs/%20ZaFFYXn7qo/WzEvTxd4KzxptbXJK4er5ZWVWsA13tYfCPfsODRlzr4Vhxw5VH64Ko9BRG8yAwv+s%20mt/S2cJWGzc2xr7aSaZT2Km86oOVyVH486rqGovxnTtWvr/i9yGavHvvoaGXOSiE/i7lJf/8ww2W%20ijBMDMNt1RIKh13+c3zr2fG2btli3Z8mBvpYgPCuPQfPvuIX2VbYpVPlu//8PdwGu3l1da03bVrn%20YnbFnoOftVnYtVPlO/EpbLNp00vpLNy5+8DnrrzPDvCozoe2vvCHNE32UHjO1+47VGntYih8e/nj%20rVs5dH1d3REKTzrppIaPi+BT2KB3T+zy7m58TOv99lYjac+gQYPkfY3+jx2OrwrbOBW50nwCsS9d%20JiFMr+yXOx5pHO5N/xbCD27W7JDTT7WbhUbj/NB/wy0NsVroqtAPBItC8PVvWzpcRxBIozA9wBrP%20Lo7WQpc5arqK3C0Map7joMhkmGSiMMQ9EwJgJhY64vUYJpnd1drATDol3+/qEL1cwMMkGZ8MzlZg%20IrF93W969epv+xngNUzcProi/2SIXKHnJ4P9Cyvwt52TA3NEQ4J/+ufjMAneyry/Imfr/SCn6/FL%20ly69/fbb0633T58+HTn+XRbvRcDeFSEu8d+f8s2hM0XMYtt+5rpA6/1YZzeMxikp9GzcuBE68QzE%20vw0uknaFhyqr2/ceZ1/8xvL8gdd/hyV1J22YFlbK+3aFBw9Vdegz3lGh43p/QxXVWouzwlMm1By5%20Vi3yzZuXVm980J2MXSGWq8tPdVCYbr0fa8R4cpOuvXgfCjueOsGykAlt+197JA1AdPEhF4X7D1R2%206nu9w/J8mvV+s4V1dXWbNm1q1qwZUmMpmZTCftdXH7m67LLe764QS8udbdpQl8t6v6fCLv2ut69V%20Q2G69X7DwMJe401obzIs7NLvW/Z1RxhZ1qJ55b9+5X7P2BXu3X+o62nftitsWO+f57i67G5hSuHp%20366yrTs2rPc7KjzcXhhvt3DPvoNH9f9OEIUt9SZMq/D079ibnG693zBa4UmVgHW8CXfvPfgxWHjk%20YrDLer8fhUcP+I5lpdBlvd9T4a49B44Z+N8WhS7r/e4KHbUBjst6v2G0xsdJOoYVu/d3G3SDfWXU%20Zb3frLC2thZpM0pLS3v27ClVZEXh4BsrKw9/nktFLuv97hbu3LX/2DOcFb73ouP6dxvD2K+j295k%20KDzujBvxrWf/BOjaqdm2tT+3vY+7+vAyqF3hjop93c/8rqPCNq3L9r/2gPtHjU+FLuv9htEWT/uk%20Frs2vLm9Yt/HbRa6rPf7UXj8Wd/FM2Rz0xoUYnneYTXdXeG2nXtPGHKTRRs0N6z3Px5W4UT4IRby%20Luv9+O4yjL0qb/Hi3Hswv/6biPV+uOAyEZRDuCzl2GOPRX5PeVPX/vfs2WMW8xSwqw1xSX51bVTW%201tTi8w7D2P7jENUQVaWFpKe6hgALqT/ZFhIggcIkgJnJtrW/Noxy20+jB1KYzWarSMBEIKY4nx49%20ekilzzzzjLzABEAW+HEuL/57+umny/uvv/66vFi+fLm86NOnD357Cti7NcQlvDeSSQBr6g3LY5Yf%2060Q/mcbTKhIgARIggYQQOFQpT9otPw4h9QkxmGaQQLQEYvL7zz77bLEbCfuxog+nf/LkyfLOmDFj%208FvP8b377rvxX8ggxacIDB482I+AnYunzmhRUluWCCASaffLv3VaoTnihIcs1U61JEACJEACJEAC%20JFAYBGLy++HcS6whEvj069eva9eu6tZPnJjaWY/jukQAx/riv5CRVD9I94kdwH4EIIMUQBJNJCcB%20e+osjC4shlbUOAfScIWmGDqfbSQBEiCB5BJok0odY38czSjZ5HZZkVsWk98Pyk888QRCeiy4586d%20qyFAdgHIT5s2TS/xFLD3ZYhLivyGYPNJgARIgARIgAT8EMBO3DQbBqzejh9tlCGBGAjE5/dj9f25%20554bPXq0tGrAgAELFiyQIB8pFgGs9GPtXxb7fQrYeXnqjAExqyABEiABEiABEihIAtwwUJDdWsCN%20is/vF89+3rx5cgDbqlWrRo4caSFrFpg1a5Y+CjC7/qrBLjB06FBRbk7r6amzgHuXTSMBEiABEiAB%20EiABEiABIRCr30/oJEACJEACJEACJEACJEACOSFAvz8n2FkpCZAACZAACZAACZAACcRKgH5/rLhZ%20GQmQAAmQAAmQAAmQAAnkhAD9/pxgZ6UkQAIkQAIkQAIkQAKFQ2DgwIFIJT9ixAhLk3AsFU6v6ty5%20s/wXSeeDCkTIiH5/hDCpigRIgARIgARIgARIoOgIwJtHFkp7s+H0w9fHoVVyLNXixYuHDRtmdv09%20BaJFSb8/Wp7URgIkQAIkQAIkQAIkUEQE4LvfeOONjg2ePHmyfT4wduxYFfYUiJYj/f5oeVIbCZAA%20CZAACZAACZBAsRCQBXvHxX4gQPZ5/MZBtOvWrdu+fTtOr8KfmzdvXrhwoQDyFIiWI/3+aHlSGwmQ%20AAmQAAmQAAmQQFEQWL9+vYvTj3geCe/BMbU4Tgpn0U6dOlW4LF++HL89BSKHSL8/cqRUSAIkQAIk%20QAIkQAIkUPgE+vXrJyv948ePt7d2w4YN8iacfnkxePBgebFmzRr89hSInCD9/siRUiEJkAAJkAAJ%20kAAJkECxEJg7d+7ll19ub+3u3bvlzd69e8sLLPmbxTwFIidIvz9ypFRIAiRAAiRAAiRAAiRQ+AQQ%20r7906VKE8QRtKhL7uF/iKRC0RpGn3x+OG68iARIgARIgARIgARLIYwIHnEqg9qxatWro0KGBLsmt%20MP3+3PJn7SRAAiRAAiRAAiRAAjkg0Nap5MCOGKuk3x8j7IBVHThY5fhTWVUTUBPFSYAESIAESIAE%20SIAEjiDQxqkUNiP6/Qnt30OV1W0/c13HUyfYfzr0cdgzntBm0CwSIAESIAESIAESSCSB/U4lHkuH%20Dx/uXpGnQDg76feH4xbHVaWlzaprau0/dXV1cVTPOkiABEiABEiABEiABMISKC8vl0s1XycO+TIr%208xQIW3Pa6+j3R46UCkmABEiABEiABEiABIqdgKbvxPFewmLFihXyon///vjtKRA5Qfr9kSOlQhIg%20ARIgARIgARIggWIngFQ/nTp1AoV58+bB9cdi/5QpUwTKkCFD8NtTIHKC9PsjR0qFJEACJEACJEAC%20JEACJGBIav+Kigqc7Nu1a1c53Ldnz54jR44UOp4C0UKk3x8tT2ojARIgARIgARIgARIggRSBadOm%204WwvC4s5c+boO54C0XKk3x8tT2ojARIgARIgARIgARIggRSBLl26LFq0aPz48RLwgyw9ON/XfNSX%20p0C0HOn3R8uT2kiABEiABEiABEiABIqLAFz5+oYCL9/Scnj2s2bN2rlzp/zXfr6vp0CEKOn3RwiT%20qkiABEiABEiABEiABEggoQTo9ye0Y2gWCZAACZAACZAACZAACURIgH5/hDCpigRIgARIgARIgARI%20gAQSSoB+f0I7hmaRAAmQAAmQAAmQAAmQQIQE6PdHCJOqSIAESIAESIAESIAESCChBOj3J7RjaBYJ%20kAAJkAAJkAAJkAAJREiAfn+EMKmKBEiABEiABEiABEiABBJKgH5/QjuGZpEACZAACZAACZAACZBA%20hATo90cIk6pIgARIgARIgARIgARIIKEE6PcntGNoFgmQAAmQAAmQAAmQAAlESIB+f4QwqYoESIAE%20SIAESIAESIAEEkqAfn9CO4ZmkQAJkAAJkAAJkAAJkECEBOj3RwiTqkiABJJCoG3rGsPY7/RTlRQT%20aQcJkAAJkAAJxEuAfn+8vFkbCZBA9gm0b1u9c/0cw+jk9NMx+/WzBhIgARIgARJIIgH6/UnsFdpE%20AiSQIYGqany4VTv91GaomZeTAAmQAAmQQJ4SoN+ffx2XPoDhUP41hhaTAAmQAAmQAAmQAAnEQoB+%20fyyYo6ukVcvaXa88nCaAoTy6eqiJBEiABEiABEiABEigoAjQ78+/7qypTRfAUJd/jaHFJEACJEAC%20JEACJEACsRCg3x8LZlZCAiRAAiRAAiRAAiRAAjklQL8/p/hZOQmQAAmQAAmQAAmQAAnEQoB+fyyY%20WQkJkAAJkAAJkAAJkAAJ5JQA/f6c4mflJEACJEACJEACJEACJBALAfr9sWBmJSRAAiRAAiRAAiRA%20AiSQUwL0+3OKn5WTAAmQAAmQAAmQAAmQQCwE8szv37Fjx4QJEzp37lxSUjJixIhly5Z5UgpxiadO%20CpAACZAACZAACZAACZBAfvmZ+eT3gyx8/dmzZ1dUVOA+W7x48bBhw9xd/xCX8A4mARIgARIgARIg%20ARIgAU8Ceedn5pPfP3ny5NWrV1v6YOzYsS69EuISzz6mAAmQAAmQAAmQAAmQAAnknZ+ZT37/vHnz%20cId16tRp3bp127dvHzBgAP7cvHnzwoUL0915IS7hTUwCJEACJEACJEACJEACngTyzs/MG78f8TwS%203jNmzJi+fft26dJl6tSp0h/Lly937JgQl3h2MAVIgARIgARIgARIgARIIB/9zLzx+zds2CB3GJx+%20eTF48GB5sWbNGsebL8QlvIlJgARIgARIgARIgARIwJNAPvqZeeP37969Wzqgd+/e8gJL/u5dEuIS%20zz6mAAmQAAmQAAmQAAmQAAnko5+ZN36/y+2FxD5Bb74QlwStgvIkQAIkQAIkQAIkQAJFSCCxfmYh%20+P1FeD+xySRAAiRAAiRAAiRAAiQQjEC9rej19n/l8J3p06eLYUuXLlUz3E0NcYljA4MBpTQJkAAJ%20kAAJkAAJkEB+EvDv60blZ/qv0Y+ku2/M9f78vCtpNQmQAAmQAAmQAAmQAAkEIVAIfv/w4cODNDkl%20G+gSP7MrypAACZAACZAACZAACeQ7gaAupaN8ID8zkhp9Kskbv7+8vFyapFmTcDayeyNDXOKTGsVI%20gARIgARIgARIgASKmUA++pl54/dr+s7169fLTbZixQp50b9/f8fbLsQlxXz7su0kQAIkQAIkQAIk%20QAI+CeSjn5k3fv/QoUM7deqEnsCRyHD9sdg/ZcoU6ZghQ4Y49lCIS3z2NMVIgARIgARIgARIgASK%20mUA++pklCMOy9FlJSYm8Y/9Xbnt3woQJs2fPttjQs2fPTZs2yZtiOWKqFi1aJO94XpLbFrF2EiAB%20EiABEiABEiCBPCWQQD/T3Y3Pm/V+3BDTpk0bMGCA5c6YM2eOy70S4pI8vfNoNgmQAAmQAAmQAAmQ%20QJwE8s7PzCe/v0uXLljIHz9+vAT8YF0fufzxkMWlg0NcEuftwrpIgARIgARIgARIgATylEDe+Zn5%20FOeTp/cEzSYBEiABEiABEiABEiCBGAgUTpxPDLBYBQmQAAmQAAmQAAmQAAkUJIF8ivMpyA5go0iA%20BEiABEiABEiABEggBgL0+2OAzCpIgARIgARIgARIgARIIMcE6PfnuANYPQmQAAmQAAmQAAmQAAnE%20QIB+fwyQWQUJkAAJkAAJkAAJkAAJ5JgA/f4cdwCrJwESIAESIAESIAESIIEYCNDvjwEyqyABEiAB%20EiABEiABEiCBHBOg35/jDmD1JEACJEACJEACJEACJBADAfr9MUBmFSRAAiRAAiRAAiRAAiSQYwL0%20+3PcAayeBEiABEiABEiABEiABGIgQL8/BsisggRIgARIgARIgARIgARyTIB+f447gNXbCWzZsmXH%20jh0kQwIk4EKAw4S3Bwl4EuAw8UREgWIjUFJfX29pc0lJibxj/1ex0QnUXriqr7/+Oi4ZOnRooAtj%20E8Yn4MqVK7du3Tp8+PC+ffvGVm+giiZMmDB79uz777//uuuuC3RhPMILFy589dVXy8vLzzvvvB49%20esRTqf9acBOuWLHinXfeOeOMM5LZxRwm/nvTRZLDJBOMHCaZ0JNr+W2SOUN+m2TIMPnfJhk2MPTl%20Hm48nHtL0Zrs/+I76QjMnTu3U6dOgq5nz54LFixIFKvt27ePHz/efA+NHj0abybKSBizdOlSZZg0%2024BrwIABZobo9EQZOX36dL0JYWcCu5jDJJIbhsMkE4wcJpnQw7X8NskQoDDkt0mGGBP+bZJh6zK8%203N2NTy3q0+/PEDG8fPu0LFFOoeUjRqzFqn+GDY/8cnVoYF7S5k6ODJNj5C233GK/CeH6R95HoRVy%20mIRGZ7mQwyQ0SQ6T0Oj0Qn6bZIkhv038g03+t4n/tmRDkn5/NqgeoVM/B+FmoSjxdevWZb1uHxVg%20BiImYTEYX3souiqcqMkJmoLwHqWXqGmJelroa0CThyfAmBCAmzdvVm7oX/OKZkJuQnQuh4mPwepL%20hMPEFyabEIdJOG7mq/htkjlDfptkzjDh3yaZNzBDDfT7MwTofbkgxo0oovC6LO94q8imhC5xqZOq%20c+VErQeb0QlAfE9nE0wA3dqnuiQD3ys5gVL6RYK+llbpO7A8QDuzKcphEhVdvRs5TAIhTdowgT0o%20liYkapjYLUzatwm+1NJ9TSRhmOA7At8Uli5O1LcJ6FlWr5I2TEAPX7sWIxM1TAJ9CsUj7O73M5+P%20PTjC+Z158+ZhL92IESMeeOABx2wzXbp0kStvvvlmhPjjxerVq3GV3woylktnYUVFheju3r27vBg5%20cqRYOH/+/Iyr9asA0IBuTENJh+Wtt96COn0cMXPmTL/ao5DDTrUZM2agi9HRy5Ytc1TZoUMHeR/b%20jrXHo6jclw5Ydeutt8JC/Ia19muw4VjexOZy6eK1a9f6Uh2REHoWDNHRjuahkiQME0cLEzVMYCFI%20pstqlYRhAguxKzHdXZPzYQLzUNavX+9oYc6HCazCx+CwYcNuvPFGRwtzPkzSWZiQYQLzMDp69ep1%202WWXPfTQQ44McztMYBI+rk888cRx48alGym5HSawEB/U+JoAQ8ePmpwPE/EZ0MujRo3Cl7K9l5Mw%20TCL65oxXjX3yofXHMy9Jfi2IlBAXSgv+NIdPiJ+K39oWfRgKyRga6G6hri6YZ8yIopHmxGAeqjBv%20wZF6YYB9vVys0jAVII1tTd0e+Ktr5+YHEbLejxURhPrA2thW/cFBu0wAmqOM8F9503y/yW1pX23K%20Uo/bb0LLCk0Ch4nZwgQOExBzDNNKzjDBQ07zCLUsZCZhmGCc6g2fhGGixui3iWXJP+fDxN3CJAwT%20yyPNdF8TORwmYqGyssSs5nyYaBfrd4r5sXAShgk+9yyZSDBezB/XyRkmWfo+zVCtuxvPfb0eeDEG%20zDlSzK6/fuFpTL95X45OFbIdAu5pIYYQXFjLnqE4/X7zNkTz9MkeZaSf1I7fLhmOBJfLLU+E1Uh1%20mnUiJyTNrUjnnEVrrcXpVwPUL9RPSVBFc1TeHkgQrWGiLd1NaL7rkjlM1MJkDhPcXfYwhkQNE41v%20lOm93JmJGibmCXxuh4l56OkQNs9MIJDbYeJpYc6HiVpo/lpx/JLN1TBRC81fK+ZRnPNhYvf7LQuU%20uR0mjnt20Zvm77LkDJNsfJ9mrpN+f0YMdQsdvt5wO6LohhJ1ClXG/Amub2Z7f6ofCy0IHCf0GWFy%20vViHKF5g6JrX/i3LmXKzArLuwIvngYlO7fBJDQv181qf4ZjtsaezcHTOIuQJSuY1flhoRqqet2Oe%20DXkIkO3dvZabUM0zd1+ihomjhckZJubPGYtfCCOTMEzMo1i9rkQNE0evy54/0byUk+1h4uizwgCz%20U5jbYeLHwtwOE0ev2vFrIlfDxO5VwxLzKM7tMHGc2llW03M7TMz77/HdCnT2tY+EDJMIv+WjVUW/%203y9P3FvwqCwf/TrxNa8LClNd6NLb1PzAUX1ry8e6X2uc5GAbLLSMAT8WWpRlb1+v7AOzBOfoow99%20XweteSlOHRqZ1mu7ZKoQ1Vey3ULtPvPKpX05wexVo0VoizmPdVSzO+i076Uzrw+pl2+nKguuaifu%20Rp3PRDgzcRwm6mNpN+kDB30nt8PEj4W5HSZCTKea+gjFHEAoFsrnT8zDROvVx3S64Gp+cJfDYaL2%206IqMdrol2i1XwySdV22OssjtMPFjYW6HiaPfr8PB7tTGP0wc/X5LMFIOh0k6v9/+FZbDYSJ8XAJ9%20YxsmmThsObyWfr8v+ObwbgwAdVb0ffMzJh209hFu/oJRzzXzGGtLeDc0qw/t00IzBTUswhgkc3g3%20hqv5m8yOSydF5s8aXdUW+JbooMxTD6Wz0NEYnRppQ8zJE/VNXKv+d+bZh9IdRGI3Bnwc+10/DXV5%20Sfs6kplJumGiDpbelnY/GzbrZCD+YeLTwhwOE4FjnnxaZgJiW66Gifr95rm6fLuYx2YOh4l+Yuga%20jX0mIAxzNUz07hJK+Oiwhynndpj4tDCHw0SrlqUZcz5Hs1U5HCZqhnSuPUAAAjkcJmqeIlILLYtr%20ORwm+kUj36qOi03Z/jbx5TgmVYh+v3fP2Pd0atC2jk9zpLI9OF49M/MDxwiX1e0hHLqjzqeFZgq6%20DBzVrlkMS/suCHU95QPasuQs96XZGdUvaXFu7Nt6MnGs3S3UD2ilpMaYXXwdS+ZZjS7GZ5gx0+Ug%20Ev2AdtxqbJ6R6s1g/gSPambiMkxgPLoSBLSP9IgD842Xw2Hi08IcDhPQk70ZaoN0nGXGm8NhAkvQ%20rfaoHvMszvycM+ZhgnsPNyHuUh0ROjYtDk2uhon2rMxCYa3jEkwOh4lPC3M4TLRqDd93/HzL4TBR%20C+X7wjHJRw6Hif07Ti20hBTmcJjoEIBt5u8duD06lrM9TLwdxwRL0O/36BzzCMQdph62xHLguwS3%20l8U/ti9gow7HjbxC3/6kPtANo/e3rKOrhy0OgX8LpdJ0s5FM5gA6MkHGPErFIbAHrjguseunj30P%20K5oMtZn4/e4WgonFM3BcYtcvafOirGNbAvWvCLsfRGJPU+243q+r2ubJgEpa9nYHMtJ9mFhUqRmy%20K8Z8a+VqmPi3MFfDxGwhiFl2xeh/czhMzBZivOgdi+42D58cDhPLJFNX0y3DJ+fDRIYkPuh0SdXy%20OC7nw8TTwpwPE7n90JWOKy85Hyb6gYmPYnPMqt6iOR8m+h2n3oslriaHw0Tp2dcTzYk0sjdMAn05%20JlCYfv8RnYLvJ4uHpwsDupiqfqcl+lwUOYaD433ztF4dnRBpc+wW6vATv00Df9G1jp5cOgvFfvUC%20xSmHNujH+LFvH0x3N9v3GGgzpeGKNF1YuT1gHVeZH33qXasTJ//TEgmRt8gHtdC+a8Lc9Rby9mcX%207h8E8tTSIiNK/J/+li6+X/SYl1r1/vH/RCLDYWI+tVrmvTroEjJMXCxMyDCxfOHZn+9Zxohwjm2Y%206DMoNUM/QMzb8swfUDEPE/vniT6pcPQU4xwmulaNm82+EyYJ3yaeFuZ8mMjtJB/19nCpnH+bmB84%20OO6Eyfkw0YdO6ErHnTC5HSaWLRD4eNGPRFmTjXCYJNBxz9Ak+v0pgOLdmu8bdbzsER3mAWlfY073%20UAy16J0qX4FmB92zF10stE+7HR8dahUuFpq/ZvDJaImlcXcagMIsL4tVUql9eqOSjtMJx6fbZuy4%20ayGDrrEfD+lCEvLmZwW41mUC5m5hutgY7QvcS3ILBYrmQteoZmgwB0jYvSKXVLDKypLIwrxMoq62%20+rie2zmiGibSTLDS7jDPAJMwTNwtTMIwwf0poVN6G8icMDnDRBYLMMr0c1UXSpIwTCS0DyaZP7V0%206UQXFHIyTMxetfkDBNx0cp7bYeLHwtwOE/X7zYtZoIfuNmeEE7H4v03Mfr/ZN8AnDz6Q5aszt8PE%207PfrFwcGtVgoDkwOh4l+9eujMNhjfsYonkAmw8TTK8tfAfr9qdvXHh+vS7a6cGWOo3VxCh0Tx8r9%20YV4DQ436he25J9XdQl26MLuJLk6hi4Uw0r5MqO+4xIGgaY5P3OTzS2u0J2+BcvvcKd0GA5nT4/NI%20L0nn4NoHpM52zA3U5fNAFpo3PNkrcryXUKmnV23fsYCr1FWyL1m5zO7SJUQyfwVCofiO+tntPq+L%20cJhAldal5HUGmIRh4m5hEoaJDgGYahnsCRkmaqG5Q/XNJAwTNUbHi86T1avIyTCRIamfGNq/8r6M%20ndwOEz8W5nCYqFctXWyZDMvHfm6HiXjVer9Zvp70Yz+Hw0S+GvRj2fL1JM5ADoeJzofNARra7wo2%209DDJX5/ej+X0+w/PqsEC97p5wVU+Ye1uaLolf/MM2JG+o/dpiSyyX6jzfkcLHd3QdE6hp4V2v99P%209LzZfcRrJSZzcUc3NN3cyWWB3DGCH44jusw9J5L50QqEzav+sn4WyEJLKJSlvxz9Y0t4rr2LzemJ%208Flv/riX5waOs7V0s7t0GRhkkcbxu8RzWuJ+EwYaJubm61Ay73LJ+TDxtDDnw8RsoeLSLT32Gyz+%20YWK2QQe7jtMkDBOzhTqU5NM4t8NE16rRs/btTLrkn8Nh4tPCXA0T/ThFP+KWs0ycYJU9GFVuhtiG%20ia6m4wPQ/EzMsgqTw2Gij3TMOxC0Q+UbLYfDBFU7Ok72ANdww8SP95y/MvT7D0ehaGyPftSKM+QY%20CKFvmqOiHUNoMLAtU1Lz5mB7JLf9ZlJ70lmofrbZM9Y3zVV4Wmj+pJaHeu7LwGKt/dPKbJLOTMxh%20J/qmJezYMcjHHpGvlPxs59WvAfW/LQsDgSx0DPIxPwyReBgRkwcUnh8Q9uhhfUdWXHRmYo6M0jfN%208wrHZyAwSW8DvDYv3sBOPzt6PW9C/8PEQkOHg7krYW0Oh4mnhTkfJmYLzU/h091p8Q8TsyU6mTff%20vbkdJhZQ9ojBXA0T8wej3W+2fCDnZJj4tzBXw0Q/GO1Pod0/7mIbJprFzt7F+KQ1Owy5Gib6hNlu%20oTmLRq6GSboPOseEFiGGiedXdl4L0O8/vJyvHWmJ7VFf2exdOWaJsviskhxQFuktdwlGi5+PGLlK%20P7zSWaj1ml1MHQDm71pPC8VgfCr5mZCIPYrL3ExL9JH6yma16tiZF5vNXjUoaci7H+853VBUY8xK%20LLE9Pi20eNX4U3eG+Cdmt1ONMSsxx/aY18V1JqYOH7pMbyfL1A69I51umV/JTCDCm9D/MLFsC3b0%20+wVRroaJp4U5HybmPEh+/H4/31IRDhNUZx7Ujn6/H5MsMhEOE0AzT3fT7RSKf5hYglLkG9olbjP+%20YeLfwlwNE/sSLz79HFfHQtyEkQwTe1SndrFlU1YICyMZJvaHJPqOfVde/MNEsZiXtPCmo98f4tsk%20BPY8uoR+/+H1fvPCtnDRh1n6kWGeiFseDaPXzZtILMPGv4Nlv3t0qTWdhbp6bQ6WcIyg8LQwkC+o%20pgouDZfH+5b90Lp6bd7MYIlPkC8wvSMtTz8z+TRUY8wpmCz7oX1aaJ7vWT677Z+G/j8ItHazL6L9%20Lnr0T3NQkz2CwrzhyRIk4BnM42Kw501oDqZKN0wgI+bhRhUZcxZa/7gcJT0t9DNMfFqYw2GCcS0t%201Rw+2uOeO4XcCUc1TKBHPv1kRACp460borujGiYYQfKRLiMCSB0/4UNY6HkT+hkm5rBJ2c7kuLYS%20wjzzx0gm3yY+LczVMDFD1qfWjv56CIaRDBNzYCdgyse+o78ewsJIhok5sBMDWT6udSnKTxRAtr9N%20oB/jN91ADsGteC6h35+aIGLg4UMh3ecg7gbHtXN7nLf9iZiu1mSyGOzHQse1c3ucd5YsBEB8Zpnd%20Sovf77gyrW/qdMX8aWgxFVWEnjuhInz6S9IGHdsWv9+nheZPQ4uFmfj9+NxHZ5mfn5q/ocVmx0dM%209u0Q9oBgsROQ3XdBuH/q+bkJ/QyTdOZl8jxHLPdjoZ9hkj0LIxkmZp/Gcgdm8iEjDnokwyTdKLY8%20cQrxLRvVMEk3iu0PZoMa6ecm9Bwm0kzLLF1vS8/9YJkPZM9hklULIxkmgGx5aq0Dx7w6FrR/Ixwm%20aCa+MizBjTKiM5zARzJM5NMAI8XsF+nAyeSrxOdntecwMTtmEX4Xh7gl8u4S+v0OXWbP4eO4kVe/%203nSU2r1qncpHe2fYLXTcyGsfpbFZaM8y5LiR1/Jl5ugx6GJDtAztOXz8WGj3GCSCP/ScxKVR5jgf%20EXN83K9uvcjY3Vb/+zQCEQ43TPAtYt9YrEvXgQzwFA43TOK0MNwwQbvsgcuZTDtdSIYbJo576TJ5%203BT5MLEHWugzKM/7KpBAuGFir0L2+PrZihPIPAiHGyZxWhhumNgtRKcn6tvEbiE+CRP1bWKxEF9z%20ifo2cfy+y9K3SdBhlWR5+v0OvWPfZAkh/Z4wz8UFn64S6ZcxXlim8tHeBI4WqlOoc3HLojtsiM1C%209T51DdI8d9IlK8uiuznrln2xIVqG9lvfj4XmA1/sa3IRWmjfiwzl5tmdLsNYwoHUUZN1owzXgF1a%20FHqYwHLd9yy9HCE3s6rQwyQ2C8MNE7QR9yo+YWQ44z7MhjsoJMMNE1yIG09vRbzIcJU63R0SepjI%20aJIpqHxcZxi6kM7C0MMkS4PCrjb0MInNwtDDJDYLQw+TeCzMZJjEY2EmwwRfyjKQZdaUpYEcD4d4%20aqHf78DZMQ2iOQZUFq7sYwkfT/BjLCFD2ehIRwvNodLyLWsfS/FYaA/gEQj65E5n5PYPdJlHZWlp%20UPsiXbZQTwul0y0hQ9no4nTZQs07NFCvOepDzJB9xpaQoWxYGHqYZMMYR52hh0k8FmYyTOKxMPQw%20icc880eKJfDAc5jEZiGHSYaoOUwyBMhhkjnAAtNAv9/aoY5pEEXIvNYL31TXzs1JqWO4P1ws1AU2%202GaO99DFtnimwo7ZQsVJNWct0G9Ec8BlPBZa8hppryXHQsdsobDT/EgEAFVMH0PFAzCTYRLDGEEV%20mQyTeCzMZJjEY2EmwyQeC0MPk3jM4zDJnDOHSeYMOUwyZ1hIGuj3W3vT5axTiDqm34rH01JDXSx0%20DE3OcJNQiNvd8ZAp0eMYmpzhJqEQFuqczd53SbBQnXtziiRtZhIOIuEwCXHXWS7hMMmQIYdJhgDN%20i1nmXGeilt8mPvHy28QnqHRiyf82ybCBSbucfr+1R+yRJ7KhSuOkzef/ZZJkJvSt4G4hPqzNGTDx%20OuZpCdpluatggETgiSVYAzM/l4jf6bcHaMEkyf8gnZJzC+0BWrAZc04Nhcef+rQEaznZC+JPd5dy%20mIQev3ohh0mGDDlMMgSIy/ltkiFDfptkCNDzJpTZqT6yyInTlXkbE6WBfr+1O5SIeW+fPbUWXMP4%20/Wmx1aeFWdpI53n7mj8HzbsPYbbFxc+VhWZ3wbz7EBZaTMqVheYvY919KBsQzfxxB2Yjj5BnF/u/%20CTlM0sHkMPFzm7nLcJhkzpDfJhky5LdJhgDz4tsk8zYmSgP9/iO6wxw8bU95mSsfy2xi8i0074Kw%20MMzk7K0Ih405443FwiwlQwxqvD1Lo9qZ7R3PfkxN/k2YfAs5TPzcae4yHCYZMuQwyRAgLue3SYYM%20k38TZtjABF7u7vc3s/u+hf3O3r17HRso+RB79OiR8+Yn38Ldu3fbKUmmvCVLluQcIAzYtWuX3QxJ%20KDlt2rQkWFhRUWE3Q9KGjhkzJucWJv8mTL6FHCaZ38YcJhky5DDJECC/TTIHmPybMPM25pkG+0zF%20faKQwJlNIJMs50bFkw+xwCy0nGwVT2LTQAwtJ1vFkDY0kHnm554y3GJIGxrIQg6TQLgchTlMMmdo%20f1gX/0YXl1ZwmGTexRwmmTPkMMmcYYFpYJzPER2qqYKzdChd5ndP8i3UnN9ZOl0yc4bmA8BzFcHv%203go9TihLZzdmyDD5N2HyLeQwyfAmxOUcJhky5DDJECAu57dJhgyTfxNm2MAEXu7u95fYlx5LSkrk%20Gvu/8uxZRhpzb7311i9+8YtDhw5NbHMSbuGWLVseeuihq6++OglhUY6duHDhwnfeeeeSSy7p0qVL%20Mnv5gQceKC8vT0JITzo+Cb8JYXbCLeQwyXzocZhkzpDDJEOG/DbJEGDyP6szb2DSNLi78cXo9yet%20h2gPCZAACZAACZAACZAACWROwN3vL7p9vZkDpQYSIAESIAESIAESIAESyDsC9PvzrstoMAmQAAmQ%20AAmQAAmQAAkEJkC/PzAyXkACJEACJEACJEACJEACeUeAfn/edRkNJgESIAESIAESIAESIIHABOj3%20B0bGC0iABEiABEiABEiABEgg7wjQ78+7LqPBJEACJEACJEACJEACJBCYAP3+wMh4AQmQAAmQAAmQ%20AAmQAAnkHQH6/XnXZTS4YAkg566UZcuWWRop748YMULe9y9pFtar8KJz5844NWz9+vWeNHF20sCB%20A+VaXDVhwgTLVWa15te4CsI7duzwrKJoBfz3o3/JzHscGubNm4ebTSrt1asX+hHHkJm7iZ0e+qZV%20sBaGeB9HRIVWG+hCtcH/Vekuwblg/pX4kQxhmx+1lCEBEmgkYD9hWNEk8PBhmkQCBUxAh97w4cMt%20zZR/6fv+Jd1P3e7UqdO6detckA4YMMDxs3Lu3Ll6lfuHKTTgnPYC7rVMmua/H/1LZtjj6CzHTset%20wk7PpK/1WoxilyFjhhxJdY5K1Ab/Vdgv2bx5s9wq/pX4kQxhmx+1lCGB4iHg7sZzvZ8zQBJIHIHF%20ixfbl/wdrfQv6Xh5RUXFxRdfnK79M2bMWL16teN/7QvA6ZRAw0MPPZQ4xAkzyH8/+pcM0eO4BKut%20jp2OW4WdHsNdc9lll1kercRQabgqcD+k+3wIp5BXkQAJxECgxL445H7Abww2sQoSyJxAySe/nrmS%20rGqo//dvLPp16OF9LHotWrRIBeRf+qZ/SVxlH9GIvXn88cfHjRsn+rHk37dvX3tjEeCBJT28f//9%20919yySVdunTBbOTGG2+UL/tbbrnlxz/+saN+vIkqJk+ePHv2bLzu2bPnpk2bsgqzQXkKUbJLfcJ7%20HOE98DthJFb3Z82ahUgwvMab8PDg9+P1+PHj8X6SOj3ZHe5kHWZWmLzhP0uXLh06dKiIIMLnyiuv%20FMgYbtddd13yG6YNcX/ElPyG0EISKDAC7m481/sLrLvZnAIh4H9Z17+kooEHD8cCPpy88+KLLzpS%20E6cfj/IhjEvwGm7K1KlTRXjNmjUurCEPBxHuI2RED4s7Af/96F8yaI/fdtttcsmf/vQncfpR8OKR%20Rx6R15gDsNOzcSePHDlSJlQozz33XDaqoE4SIAESAAH6/bwNSCChBG6//XaflvmXNCv8xCc+IX/u%203r3bpSKs7ps38sJBEWFZs3QvgwYN8hLh/w8T8N+P/iX99zh6WWZoo0eP1nVouRydjmdNeMLjxyVl%20p4e7p7t37y4X7tq1C791eyv6BU/esICHpy4igIdpiMHDJnvdam8JDRIBuQoFO+wtEzbL3ln9Exdi%20n65oxpvmgW++BM/9IKCfAFKLhibi2YV57zJeW6IW3c1Lt68XTdAEAy4tgnKAkiZAzJKEwB2d/Fdr%20kR3tzEwQ7n7mVYklQL8/sV1Dw4qXgCyT+1nW9S9pp/nWW2/Jm8cff7wja93f2a9fPyz64ntXvgJ9%207uiF5MqVK4u3F4O03H8/+pcM2uP62Of000+3X4uoM4R1OcaDWYTZ6UF6/rDsu+++K3/06NHDrGHS%20pEkyHxPnHmMQnjHelKAg/EY0HYaquv4qoM/ZMHVH+JZOG1zMu/766++44w7RjM+fc845x0/KL7NC%20fEqMGjXKvCiA18OGDVPXP5x5MB5N0O0ELi0CHACRJkAMTbCTSYfuiiuuAFitBQChavDgwXT9w93S%20vCqZBOj3J7NfaFVRE/j+978v7fdc1vUvaQaKrzFk55Tge5STTz7ZEbeG9OC/8+fPx/du165dMQHw%20s+cY37UaFI7146LuTh+N99+P/iWD9rg+9jnrrLN8mOwgwk4Pxw1XYY1c/XLL5Ep96IsuugiS2CUv%20jim2AWAGjk0CmArKrmup/Z577hGB6dOnQwC7d2SuiPHuOXKXLFkChbgKynEJ1MIPtjcKj4MgY0m8%20I8+IxAxNFAYb5PJf/OIXoc3DXEI+rDC9gS+OlFMSo4g3sTxvMQ8CaDJk5GMHTcBeJpFxR4cZjqDG%20hbhcNUAhMxOEvrF5YQIJ0O9PYKfQpGIncPXVV/tc1vUvCaaaLxzuu27qxZd3ukVcRHfoHgDtEkwA%20sHrnuHZozkeOvbw6r/jWt75V7D3q1X7//ehfMkSPe5np8P9cdvrVV+OeTvoPjExTMI6UHtbIZREa%20Ax976M1XSCZceJ/nnXce3r/zzjvFN5W9v/C2ZZDCZ5WFbSzYi4t888034wVGNwQgv2DBAkv4lt0u%20zCpFBsrlcR/UBlryx84QVIcinypiA4oEL4UzT7adgAweOuFhiOwdwieM0LAsxuNfqBoy+rHz7LPP%20StXu6MzPKHC5aAAEhLeFngmHGFC8hASyTYB+f7YJUz8JBCaArxyfy7r+JR2NwFepLsg5CuBLFOt/%209gV7x5U2Rw3IR+7pbQQGVHAX+O9H/5LhejwStDF1+q9/HYm12VUS0EiMONlDr+Wmm27CO/B3UbBg%20L9MDcyzWkCFDRBgRVrqif/7556sGBGhhyVx35ri01+zgXnrppSKZbt+/ox4MdjRBMn2hWJzyEObh%20EglYwpNGM5lrr70Wb4LGihUrzJake3rpiU7DHbG0IQcUIvIKr9EWfoJld4xQe7wE6PfHy5u1kYA/%20Av6Xdf1LmmvGOhbW5BAP4Bmxje88OA346oUzZz5ySBbPXApmC7hK08L4a3fxSvnvR/+S4Xo8kz6I%20tdO/8Y1MTI3pWn9GYvUa6DDHto8X3e8Lgzds2CBmI/zG/KxA3ty6dasKlJeXh2ig2cHt06ePaHDf%209+9YCx4RIAIHofZ4tGgWCGGeXqJ5CEShmvfqq6+aq0j3geaJDo9T5CkriuyaQGQj+oVbe0PcSLwk%20yQTo9ye5d2hb8RIwL+s+9thjLiD8S5pPK1y1ahWW5Sw7CF1qgSQ8Ejxn13BhfDVawoVFP6YH8vWJ%20pTJu8fR/B/vvR/+S4Xr8hRdesJsNHw4OkD3kI5edjvPg6uuT/pP+0DqJpJeCAy4wu3ZcVzYvYHu6%204J4C/m/IDh06+BdWSck+hEwAmJkgckY96dBTiHQtCmqeJxkMK6Srsp+mjAkAjiIJgYKXkEAyCdDv%20T2a/0CoSMHRZVwPl00HxL+kfK5brZEHRkgFQwoVd9GB68JOf/EQEsGDmuZXQv0kFL+m/H/1L+oem%20MR5r1661XIXAcfhwuA/hzznmNmGn++ccVNIc3KKr+LJn11IQTB9umV9NMucD3bNnT1BTcW8gf46E%205eBTAhObnTt3mpWEMC9dtrGg5nmig534cJOlDeA1TwA8P4GDgqI8CeSQAP3+HMJn1STgRsC8rOtO%20yr+kf+L6dTtnzhzLVe4ndkEYmwJl1x3K2LFj/Vda5JL++9G/pH+kWGyWXsODGsu6vuYzQXiYJfpc%209bPT/aMOLdm7d2+5Nt3qtaeAe9Xvv/++Cmj8TDrP267qmWeeke0H2AuLx4n2xxchzNMwJ807LPWq%20eRrw4940/1XD+8cMChMAbKfWz7HQXcYLSSBpBOj3J61HaA8JHCagy7qeUPxLeqoSAUkegoKFXgR4%20yEIgfuNYH018kW4LHSR1toDFP/dDXn3aUyRi/vvRv6R/dLJXEgWrttJrcpKRpIhBwR5TF23sdP+o%20w0nqiMPcTDVgSOJ5CzKB4h242hplpwJI2ms+f8OlanNIoabB8X8QGzYYiHJdXNcJpDwmCmGeXqLn%20h0gVv/zlL/EbjfWzXxmSnuigH8FsCFISkiiY4uLPcD3Fq0ggsQTo9ye2a2gYCaS+eDSxjzsO/5I+%20sUIhFu1EGI+5se6FmB/8VhcQ/0239Ctf8PqgXNLwsfgh4L8f/Uv6qVdksMwp2RuxaosYLfQ49mVq%20Bnf8y32XNjvdP+pwkjoqMZ2W/aaIo8PwxDQAmUAlpk4+MSAgue0xV7/rrrvk/A2sx7vXC1Uy38NU%20Qab3GMWeu4BQLyxB0aV3OOX4E1Vfc801UqMehhXCPIkbxD0Jvxw65UReiSby+fEIST/o0GSonTJl%20iixzoF0KIVx/8SoSSCABB7+/rKxMDK2srEygxTSJBIqKgP9lXf+SPgF+97vf1SN7LZfgffzXXY+6%20+1zy9wlcxPz3o39J/wYgvMGx0zHlM68xp1PITvePOpykjkr46JiV4RAADa2RuBrcFdKDkvMHHScu%20sue0DTIIypf5npzv4Z7nV84RQ4ENsOT111/H0rtUjRrxDqqGu6+hMrLkH8I8hJDJniLRBs0ScI83%209XwAPzDd0WFOa64FENAuTwh+6qUMCcRJQF13deattdv3Bp1wwgkihCmv/b98hwRIIEsEdHBa9GuK%20fay9yb/8S7oI+2yFJX0nbMA75mvTGQMZ3QGMb2uf1RWVmP9+9C+ZeY8jrBnHtar3j77DHYg32emR%203Jz6HMycz8eu2XIarlkAfYEeUX/aPiTlRFsVQFfK4b5aLMrNf0KzRAohryh2uKa7RN7XR4KoAueC%204R095lZmGnhTjv5F0c8Nd/PSNRyX6z2JF5ZPIftVwCv16semmOeOzvxxBw7AiDlMJP1OJSQQDwHd%20nQ9n3rHGEvOXhAwSZHX45z//iRfLly/nMXVxztJYFwmQAAmQAAnETADxMxLQYvcHYraE1ZEACWRI%20AImY5Sy/M8880zEps0Ocz7HHHiu1mrf2Z2gHLycBEiABEiABEiABEiABEsgeAXXd1Zm31OXg93fr%201k2EPvjgg+xZRs0kQAIkQAIkQAIkQAIkQAJREVDXXZ15b79fpwjup4RGZSL1kAAJkAAJkAAJkAAJ%20kAAJZEhAXfcA6/2nnnqq1Lp3794Mq+flJEACJEACJEACJEACJEACMRBQ112deUulDvt6IdGhQwe5%208pVXXvF5GF4MjWEVJEACJEACJEACJEACJEACdgI4x/qUU07B++3bt9+zZ48jIudzu3ACiEg//fTT%20JEsCJEACJEACJEACJEACJJBkAuq0qxtvt9bD70fy3SS3kLaRAAmQAAmQAAmQAAmQAAmo0+7i9zvH%20+ezatUtO7kBZv359uiAhIiYBEiABEiABEiABEiABEsgtgZdffrlv375iA47x7tixo6M9zuv9kP7y%20l78sF9xxxx25bQlrJwESIAESIAESIAESIAESSEdA3XU48OmcflzrvN6Pf6xYseKMM84Q7c8+++w5%2055xD1iRAAiRAAiRAAiRAAiRAAoki8Nxzz5177rli0osvvjh48OB05jmv90Ma13z961+Xy7jkn6je%20pTEkQAIkQAIkQAIkQAIkYHHU4bq7OP0QTrvej/9t2rTpxBNPFI1/+MMfLrnkEvIlARIgARIgARIg%20ARIgARJICIHHH3/80ksvFWM2btzYq1cvF8PSrvfjGlw5ceJEuRgTCGzwTUgLaQYJkAAJkAAJkAAJ%20kAAJFDkBOOcangOn3d3pByu39X78GzuCBw0ahIV/vEZWn2XLluEsgCJHzOaTAAmQAAmQAAmQAAmQ%20QG4J4IzdoUOHIpOPLNavXLlSs3GmM8xtvR/X4Prf/e53zZqlxKD3qquuym0LWTsJkAAJkAAJkAAJ%20kAAJkADccnH64ajDXfd0+lOSntSQ1efhhx8WsaeeemrgwIGel1CABEiABEiABEiABEiABEggSwTg%20kMMtF+Vw1DUJp3t13n4/rr/iiit+9KMfiaLVq1dfdNFFeLKQpWZQLQmQAAmQAAmQAAmQAAmQgCMB%20OOFwxeGQy3/hosNR98nKI77frAX7BubMmSPvINYfcws9GMxnZRQjARIgARIgARIgARIgARIIRwAb%20eTW8BxrGjh37m9/8xr8qX+v9og56ddUf4UTYSYDMQf5roiQJkAAJkAAJkAAJkAAJkEA4AnC8dSMv%20NMAtD+T045IA6/1i4qOPPop5Rl1dnfz5hS984ZZbbuFpvuH6j1eRAAmQAAmQAAmQAAmQgDsBnMiL%20U3T/+te/ihg28iLuxn94jyoP7PfjSpwA/LWvfU2Se0oZPXo0vH8E/7DbSIAESIAESIAESIAESIAE%20IiGAEBt4/PPnz1dtSNmJ7D0+N/JabAjj90MF8vrDiJkzZ5rV4dHDqFGjvvSlL/Xp0yeSplIJCZAA%20CZAACZAACZAACRQbgVdfffXpp59esGABzs4ytx2Hc2Gp3U/KTkdiIf1+0YUlf3j/9tCi3r1743iv%20yy+/vFu3bscee6z8btmyZbH1GdtLAiRAAiRAAiRAAiRAAi4EKisr33///Q8++EB+P/bYY8jYs2HD%20BsslyK8Dj9/zRF4P1PUZF4T9fPnLX2aPkgAJkAAJkAAJkAAJkAAJREsAbjac7Ywd9pQCIxItUILI%20HwQbjRkzpl27dtG2ltpIgARIgARIgARIgARIoHgIIHAGTjVcazjYUfnq0JNRnE86+ohGwi4EPK0w%20P7aoqqoqnt5iS0mABEiABEiABEiABEjAk0BZWZmExGtsPDLlYMes54UhBLLi94ewg5eQAAmQAAmQ%20AAmQAAmQAAlkj0CAc7uyZwQ1kwAJkAAJkAAJkAAJkAAJZJUA/f6s4qVyEiABEiABEiABEiABEkgE%20Afr9iegGGkECJEACJEACJEACJEACWSVAvz+reKmcBEiABEiABEiABEiABBJBgH5/IrqBRpAACZAA%20CZAACZAACZBAVgn8f3T4D3cs9mPXAAAAAElFTkSuQmCC" height="578" width="1021" overflow="visible"> </image>
            </svg>
          </div>
        </div>
        <div class="fig"><span class="labelfig">FIGURA 6.&nbsp; </span><span class="textfig">Distribución de las normas netas 
          parciales (NNP), sin reducción (SR), con reducción (CR) y su relación 
          con las precipitaciones por años en Ceiba Mocha.</span></div>
        <p> En cuanto a los números de riego (<span class="tooltip"><a href="#f7">Figura 7</a></span>)
          se tiene que existe similar comportamiento. La menor diferencia se 
          tiene en el año 2021 con 2 riegos y la mayor en el año 2050 con 18 
          riegos. Esto se corresponde con el año hidrológico, en el 2021 es donde 
          se tienen las mayores precipitaciones para el escenario RCP 4.5 y en el 
          2050 la mayor norma neta parcial coincidiendo con un periodo poco 
          lluvioso dentro de la serie estudiada. En el resto de los años las 
          diferencias no sobrepasan el 28%. </p>
        <div id="f7" class="fig">
          <div class="zoom">
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              <image transform="matrix(0.4762 0 0 0.4762 0 0)" 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nXlnwYIF%20UsB+JVoBCiOAAAIIIIAAAggggEBVAoWkE6tWrTLnOE2dOnXixInyi/w7Y8YMs5Jbt26Vf5999lnz%20v6eddlpVK0+7CCCAAAIIIIAAAgiUJPCDH7TOPLN15JHdP/KL/G+veBWSTjzzzDMG55RTTlGl4447%20zhZbv369+V8pPGbMGLkge9q0aTpl0StsWQkEEEAAAQQQQAABBPYLTJ/euuCC1ooVrT/8oftHfpH/%20lTeb/yoknZDEwJy8NGvWLCX6/ve/b34fOnSo/LtmzRrzv3I1hbmIYtmyZWeeeSYZRfM7FWuAAAII%20IIAAAgggYAlMntxaujRARN6UPzX8VUg64TeRJMFcmT169Ojx48fLL3odtjktyrzk98suu6zhpISP%20AAIIIIAAAggggECPwJ//eevHP27/z+zZrV/9qvtHfjEv+ZMUaPKrn8whhMUvJyCZP0WUcVl3uWns%20e9/7XpM/yIXXZsrCVC63jv3Wt74lCYZcbvGnf/qnJrWQ67bNFRepXytk/mj/BRupawhcUByefPJJ%20ifytb31rjjUXVK3ZcEUETM2erY+zDVKQRmdn51NPPdW/f3/PaZPZRyI124ZoNFqDzdfozSfB79u3%207+mnnx4wYMCxxx6bfedm10DNqlE+Rf9bb+3f811551e/2vk//6cG0/+f/qn/lVea/+385jc7L7kk%20bLub+xiNGzcu344RW5tjLlBGOnHqqafq1MTDDz/c0dERGP3ChQtn70/UNOWIXcmwAiadGDlyZOoa%20WBABBBBAAAEEEEAAgSwCA3bsOO7DH5Z/pZI/XnTx1tlz7NoOGth64/z5w2+9Vd7cN3z4U/fcI/9G%20NNd30wm5NMLcNHb48OEPPPCAOdMp8CUTFJMmTZI/yf2glgaeXua8PU06ccwxxzgv4Vpw7969UnTg%20wIGuC7iVK6haaZya7S2ARqM12HyN3nzsjjyfBgX154KqZfOVs/lwLse5zGHS8Xd/N+yb35T1+u2R%20x/7VdXd29TtwlYHkEnPOOKjV2fknZ5016KmnpMwLf/EX2/76rwOPHE3MfTSd0FxCCJYsWSKXaEcc%20XWs6cc4559x7771ux+HBpUw6MTnvS1vkLI6NGzfKvM/YsWOzhOdZtqBqpRVqtqnRsDXkpAh5LL2c%20OyT3VcuxM0tVBdVcULXFBUzNnn7FFixhABaHLOeHyBnLchKOXACZ7x6Dmm1PNErQKBX56adbPfc1%20vfGKf/jZu8+2V/CQwQO+cdHx3e/cfnvr4x9v/0nyiqBT3TZs2FDndKLAS7FlhkEfZufJJSRzkINy%20ec2dO9e/Yxo1alS+eytqQwABBBBAAAEEEECgVIGeZzr/97gJnlzidWHI7WLPOKP9Ts8ipcaZubGi%200gm5ZESmJkx4c+bM8cxL6FUNcnNYXYV77rnH/B5xQlTm9aUCBBBAAAEEEEAAAQSKF9h/UYS87jnr%204pjGrrqqXaBnkeKDy7OFotIJySXMbZrk3k3XX3+9J2SZfzATpjJ5arIOma/QqYyzzjorz1WkLgQQ%20QAABBBBAAAEEyhT47ndbv/2tNNg1avTP3/nBmJb/x/+QZyl0l5FFZMGmvQpJJ+QpE/fdd5+hkHs6%20mfOa9CWZg7x/3XXXmQKSRcif5CJsk37MmDGDk52a1ouIFwEEEEAAAQQQQMAS6Jln2PvpTzu5XNwz%20g9HACYpC0gnNJSL45PQnyRw8BWQqY968eU7oFEIAAQQQQAABBBBAoIYC69e3li83ce399EVOAWo6%20IQvK4o16FZJO3H///S4IixYtkkdMmLOe5Daykl3IDZ3CnkrhUiFlEEAAAQQQQAABBBCoWEBnGC64%20oOtP3J5bII83kGuyzatpExSFpBOSFchNOcNe9sOq5QnZcrdKKbl9+3bJLsglKu79NI8AAggggAAC%20CCCQUeCuu9oV6JyDS4VaWBd3WaoGZQpJJ2qwXoSAAAIIIIAAAggggEDpAr/8Zevxx7tbPeyw1nnn%20JWheCssi8pLFpZLmvEgnmrOtiBQBBBBAAAEEEECg5gI6t3DuuYkj1UUaNUFBOpF4Q7MAAggggAAC%20zRLYtWdf4E+z1oJoEWiGwN13t+MknWjGBiNKBBBAAAEEEIgUkETi8tue8P9cuXQTcgggkK/AgN//%20vrVyZbvOj3wkceW6iDxW4bnnEi9e0QLMTlQET7MIIIAAAggggAACvUvg0BUr2iv0oQ+1OjoSr5ws%20IguaV3POdyKdSLyhWQABBBBAAAEEEEAAAb/AIT/+cfvNFGc6mSV1wXvuaYow6URTthRxIoAAAggg%20gAACCNRa4KBHHmnHd/bZKQPVBeV8p4a8SCcasqEIEwEEEEAAAQQQQKDGAkM2bBiwfXt3gG96U+vE%20E1NGKgvK4vKSyzAacrtY0omU25rFEEAAAQQQQAABBBBQgYNXr27/PnFiJpZJk9qLN2SCgnQi0+Zm%20YQQQQAABBBBAAAEERODgn/88n3RCsxG9SVS9fUkn6r19iA4BBBBAAAEEEECgCQL5pxPMTjRhuxMj%20AggggAACCCCAAAKZBTZsGGieFHHEEa13vztTdaec0ho+vLuG3/ymtWFDpqpKWZjZiVKYaQQBBBBA%20AAEEEECg9wr0+8lP2iuX8cIJU4tW0oQJCtKJ3tuvWTMEEEAAAQQQQACBUgQOpBN6IXWWdkknsuix%20LAIIIIAAAggggAACDRP4xS/aAb/3vTlErpVotTlUWlQVzE4UJUu9CCCAAAIIIIAAAn1CYM+efuvW%20tddUrnzI/tJK1q5t7dmTvb5CayCdKJSXyhFAAAEEEEAAAQR6u0DPHMKe0aNbQ4fmsLZSyQkntOup%20/QQF6UQOW5wqEEAAAQQQQAABBPquwJo1Zt33pH4Ytt/uXe9qv9dTeW15SSdqu2kIDAEEEEAAAQQQ%20QKAJAj0TCLtzTCf0fCdmJ5rQBYgRAQQQQAABBBBAAIG0AppOvP3taavwLaezE6QTuZlSEQIIIIAA%20AggggAACdRPo7Gz1nI+0u4h0QiqXJmr84mSnGm8cQkMAAQQQQAABBBCouUDP4f6eY4/tHDYst2Dl%20wdhjx3bX1tl50K9+lVu1BVREOlEAKlUigAACCCCAAAII9BGBIi6cMHQ9l08MIZ3oI32J1UQAAQQQ%20QAABBBDocwI9x/q7jz8+53U/+WRT4eBNm3KuOdfqmJ3IlZPKEEAAAQQQQAABBPqUwOOPm9XtfuhE%20vq+eR08M3rw534rzrY10Il9PakMAAQQQQAABBBDoSwLFpxNDtmypMyjpRJ23DrEhgAACCCCAAAII%201Fhg587Wr3/dHd/AgXtGjco50Le9Tartrnvr1v4vv5xz5flVRzqRn2Wjatq1Z1/gT6NWgmARQAAB%20BBBAoG8JhB3AyPvVQPRMTXTJoX8Rryac70Q6UcSWb0Cdl9/2ROBPA0InRAQQQAABBBDokwKSM4Qd%20wFy5tKKLlXvSiVbPcX/OW4Z0ImdQqkMAAQQQQAABBBBAoD4Cmk4UNDvRU22dr8ZmdqI+/ZFIEEAA%20AQQQQAABBBolwMlOrRbpRKO6LMEigAACCCCAAAII1EegtJOdanxzJ9KJ+vRHIkEAAQQQQAABBBBo%20jsDu3a2NG024hV+K/dRTLWmuli/SiVpuFoJCAAEEEEAAAQQQqLlATy7RGju2NXhwIcFKtVK5eWlz%20hbSUvlLSifR2LIkAAggggAACCCDQdwWefLK97rk/ccI21cq1uZqJk07UbIMQDgIIIIAAAggggEAj%20BPR6hnLSibpePkE60YjeSpAIIIAAAggggAACNRPQ4/u3vrXAyLRy0okClakaAQQQQAABBBBAAIGS%20BZid2A/O7ETJ/Y7mEEAAAQQQQAABBHqFAOkE6USv6MisBAIIIIAAAggggEAVAlyKTTpRRb+jTQQQ%20QAABBBBAAIHmCzzzTOuVV7pX441vbA0bVuD6DBu2b8SI7vqlOWm0fi9OdqrfNiEiBBBAAAEEEEAA%20gZoLlHOm036E1/7kT9oYtbwau8B0Ytu2bTNnzhwxYkS/fv3kX/l9i49g4cKFY8aMkQLy79KlS2ve%20bQgPAQQQQAABBBBAAIFugXLOdPKkE7V89ERR6YTkElOmTFm8ePGOHTvEQf6V3ydMmGBnFJJgzJ49%20e/PmzVJA/p0+fbpkF3RQBBBAAAEEEEAAAQTqLlDOXWJNOvGWt/TF2Ykbbrhh9erVnn4gSYWkEOZN%20mYuQBMNTQLIL/wxG3TsT8SGAAAIIIIAAAgj0NQFmJ3q2eFGzE5oqrFy5squrS/41Ld53330mYbjj%20jjvMO0uWLJECM2bMMP97880397XeyPoigAACCCCAAAIINExAr4o+5piiI3/t6KPbTfSdS7FXrVpl%20znGaOnXqxIkT5Rf5VxOGrVu3yjvLli2Tf0ePHj1t2jT5Zd68eYZp+fLlRW8S6kcAAQQQQAABBBBA%20IJOAHtnrmUiZqotaeO+b3tTn0olnenxPOeUUtTnuuOP093Xr1pnf5WoK80tHR4f53X+KVGGbhooR%20QAABBBBAAAEEEEglQDrRw1bIyU4y4SDnL8lr1qxZun2+//3vm9+HDh26c+dO87udb0hGkWpjshAC%20CCCAAAIIIIAAAiUK/OEP7YdOHHGEHNoW3XDnoYd2Hn54dyvy6AlpumavQtIJ/zrKdISZdpCzm8aP%20Hx+NIOdK1UyJcBBAAAEEEEAAAQQQ6BEocWrCNPnaUUe1267f5RNlpBNy09jzzz/fEFx++eWl9cS9%20BbxM8LlXXFC1EmdYzWFbwX3Vyo/ZPbawksSsMvv27RMNmULMruqpobia2Xw2NRpoBA7ekI7RPd6D%20Xq57gOLGNTV7tiNDO25oh3Xm7s80x0+0XJD3Pf20qafrzW/WdgsagOZwrs6XT/ST44mwI0t5ulxb%20KryMS25w6qmn6tTEww8/LCc1yfzDpEmTZNkFCxboCVHynAq575O8KbeBMhdwp36tWLFClh05cmTq%20Gnr9gtc+2M40PGt6zRkDa7vurwaH3DqoviHX1pLAEECgDwnIznPhQwE7UNl5zjqNHWgf6gm9YFXD%20OrOsWsn9+YilS4/88pel3Rc+/vHfXXddhG1eA/Co//W/hpkLB+RBC1dcUc7WdMwFCk8n5EET5qax%20w4cPf+CBB8yZTuWkE8cUcN8ukyAOHJjz/regartz2ZCAr7n/1cCOeO0HD3LsoMRsQ5Wv4biZIoo1%20LubGBRwxAPvg5kPDs9EL6s+B1crRzPwHA/b5cvg154z67vMZJtkFet/nVFhnNumEY3/OZfSNuOGG%20I/7pn6TdHZ///I7Pfc5QFzoAO772tY5//MfuZubObUUmMDn2nFqkE5pLyIrJ8yXMPWFj04mICRNH%20IDM7MXnyZMfyjsUksI0bN4rs2LFjHRdxKVZQtdJ0RM0XfutXgbF957K3E7OLgF2mki2YNEhP+c7O%20zk2bNvXv33/MmDEZqyqn5sYFLCzEbPcNNErQCEPetWff5bc94R/phwwe8I2LjnfZA8gpSZs3bx4w%20YIBcAOlS3r0MNdtWaMRqhHVmWdCxP+eGfMklrVtv7Q74W99qXXqp/Des5uwDUCrfsGHDsNtvP0oS%20CXldfHHrllvcR1mWko7pRIHXTtjPvbZzCVkrubmTWbc1a9boSsolFllWmGURQAABBBBAAAEEEChD%20oPRLsff2wUux5dHXMjVhNuecOXN0XsK8ozd30qdMSC5hftcnUZTRFWgDAQQQQAABBBBAAIGkAppO%20vPnNSRdNV77Ol2IXNTshuYR5MLakB9dff70fTh6YLW/K5KlMYsgvV199tSlz9tlnp1NmKQQQQAAB%20BBBAAAEEyhAofXaiz90oVp4yYe7RJC+Zc5DzruyXeazExz72MVNg+vTp8ldzuba8Lt1//hkvBBBA%20AAEEEEAAAQTqKPDii62XX+4O7NBDW/IYu1Je3Y+xk+bkJU1LAHV6FTI7oblExJrK6U8zZszwFJD7%20xo4aNapOPsSCAAIIIIAAAggggIAl8Lvftf9Hr2coh0eb0wDKaTeulULSifvvvz+u3e6/L1q0SPIH%20c5sI+Vcu19ZnULgsThkEEEAAAQQQQAABBMoW+P3vK04nNICy1zy4vULSiXvvvVdunRn2sh9RJ/mD%203K1SSsq/nsu16+FDFAgggAACCCCAAAIIWAI6OXDkkaW6aHN9YXaiVFkaQwABBBBAAAEEEECgNAFO%20dno9dSGzE6VtTRpCAAEEEEAAAQQQQKBUAU52Ip0otcPRGAIFCMgjNsN+CmiNKhFAAAEEEEDAEmB2%20gnSCAYFA0wUuv+2JsJ+mrxrxI4AAAgggUHcBrp0gnah7HyU+BBBAAAEEEEAAgdoKMDtBOlHbzklg%20CCCAAAIIIIAAAnUX4NoJ0om691HiQwABBBBAAAEEEKitALMTpBO17ZwEhgACCCCAAAIIIFBrgV27%20Wi++2B3hkCGtI44oNVRpThqVlwQgYdTmxY1ia7MpCAQBBBBAAAEEEECg5gJVTU0YlqOOavPU6Ul2%20pBM177OEhwACCCCAAAIIIFAbgW3b2qG88Y0VxKSNahgVBOFtknSiBhuBEBBAAAEEEEAAAQQaIbB9%20ezvMESMqiFcb1TAqCIJ0ogbohIAAAggggAACCCDQSAHSCd9mY3aikT2ZoBFAAAEEEEAAAQQqECCd%20IJ2ooNvRJAIIIIAAAggggEDvEKhJOsG1E72jO7EWCCCAAAII5Ciwa8++sJ8cW6EqBBDIJKDH8Vw7%200ePIyU6ZehQLI4AAAgggkIuAJBKX3/ZE4M+VSzfl0gSVIIBADgI1mZ3gUuwctiVVIIAAAggggAAC%20CCBQsgDphA+c2YmS+yDNIYAAAggggAACCDRWgHSCdKKxnZfAEUAAAQQQQAABBKoWIJ0gnai6D9I+%20AggggAACCCCAQGMFSCdIJxrbeQkcAQQQQAABBBBAoGoB0gnSiar7IO0jgAACCCCAAAIINFPghRda%20e/d2hz50aGvw4ArWQRqVpuUlYUgw9XhxKXY9tgNRIIAAAggggAACCNRcoNqpCYOjz7uozb1iSSdq%203m0JDwEEEEAAAQQQQKAeAjohcMQRlQWkTb/4YmUxvL5h0omabAjCQAABBBBAAAEEEKi3wM6d7fgO%20P7yyQLVp0onKtgENI4AAAggggAACCCCQQkCP4M0FDJW8tGnSiUr8aRQBBBBAAIGMArv27Av7yVgz%20iyPQawSaOEycxrUewTM7YXVWTnbqNSOXFUEAAQQQKFxADjguv+2JwJ8rl24qvHkaQKAJAk0cJmEx%20e8d1rdIJPfOq6l5BOlH1FqB9BBBAAAEEEEAAgUYIcLJT0GYinWhE5yVIBBBAAAEEEEAAgaoFuBSb%20dKLqPkj7CCCAAAIIIIAAAo0VqNXJTlyK3dh+ROAIIIAAAggggAACfVKgVukE1070yT7ISiOAAAII%20IIAAAgg0VkCP4LlRrLUNuXaisR2awBFAAAEEEEAAAQTKFKjV7AQnO5W56WkLAQQQQAABBBBAAIGs%20AqQTQYLMTmTtVyyPAAIIIIAAAggg0CcEanWyE9dO9Ik+x0oigAACCCCAAAII9BoBZieYneg1nZkV%20QQABBBBAAAEEEChbgHSCdKLsPkd7CCCAQJDArj37An9qqxUWsLxf25gJrOkCjRsmTQcnfieBXbva%20xQ45xKl8EYW0aQ2miFaS1Mm1E0m0KIsAAgjkIXD5bU8E/uRRd/51yFFdWMBXLt2Uf3vUiECrFdbr%206HL0jioF9u5tvfZadwADB7YGD64sEmlaApCXBGPiqfpFOlH1FqB9BBBAAAEEEEAAgfoL1GFqwijp%20BMUrr9SBrYx0Yu7cuf32vzwrPGXKFPO+51UHF2JAAAEEEEAAAQQQQOCAQA3TiXqc71R4OrFt27bF%20ixcH9sVNm5glZ5AigAACCCCAAAIINEFApwIOPrjicDWAPpJOXH311Tt27AhE37x5c8Ubg+YRQAAB%20BBBAAAEEEHARqOHsRF842WnmzJlhUxPr1q0zG27BggVdr3+5bFDKIIAAAggggAACCCBQnoCmE8xO%20vB69qJOd5BynadOmheUSEsOzzz5rIjnttNPK6we0hAACCCCAAAIIIIBACgGdCqjwLrEm7JrdK7ao%20dOJTn/rUsmXLZH1nzJgRuL3Wr19v3n/mmWfGjBkjV2NL+qFTFik2MYsggAACCCCAAAIIIFCUACc7%20hcgWlU6Y5iSXWLRoUWDTa9asMe/LCVHmIgpJP84880wyiqLGAPUigAACCCCAAAIIpBbgUuyS04kj%20jjhiyZIlYbmEBKPXYdsXasvvl112WeqtzIIIIIAAAggggAACCBQiUMPZid59Z6elS5fKyUsR23L1%206tXy1wkTJqxdu1auxF65cuXw4cPlHXl/1apVuXSCvQW8TGC5V1xQtRJnWM1hwu6rRsy2VckaEQPE%20cQvu27dPKpGh51jevVhxNZeM7L7KESV7ywDs7i0hrwRdqLdsweI0cqg5BDmsZtfNV9y4Dq+5iTHn%20sNtgmMR9tlY5TDpfeslsoM6DDgrc2AUNQD2cO7Afrtlj7PrJ8UTYp4Q+eC6ijMtxv2M9CxcunD17%20tlQo93qaNWuWS81hZVasWCF/GjlyZJZKevey1z7YzjQ8q3nNGfsf217LVxNjLggyjEKaq+0WfDW4%20x3ULHVTXThcWc/aAm9WZxWHhQ8HbTyhmnVbX7VfM8CtOo/yac9l8BQ2TMI1cYi6ma1DrAYHyO7P5%20KMmyO3LpcsNvu+2N118vbT1/0UW/nzvXcZO71OxY1bhx49olP//51o03dv/+1a+25PfCXo7H8DVK%20J2RSYtKkSQIydepUmdzIImPSiWOOOSZLJYHLmgRx4MCcPz4LqlZCDav5mvtfDVzBaz94kCMaMdtQ%20JWuEbT4JqbZbMHvMJSN352aFDZPianYcvxHF/M7yWTj/weA9hnx+zzmjvjuNZmnk4hw4TMJqzr75%20mlhz9l4R8dmavfLyd3RFxJxLZw50zqXm1MPkiK9/fcT//t/d6cQVV2z/q7/y06WuOXYrmJoPpBNf%20+lLr7/6ue6n581vye2GvBqcT55xzzr333ptFxqQTkydPzlKJf1mZpdm4caPIjh07NseaC6pWIoyo%20+cJv/SpwFb5z2dtdVo2YbaXyNcI2n0TluAU7OzvlsfT9+/eX+6q5bHH3MmE1Z4y5/IBllTMOk4iY%20i6vZfUsFlgyMedeefZff9kRg+UMGD/jGRce7NFrJFnQJLKJMyRrZncOQw2p233xySpJc8ThgwIDR%20o0fbYk2sOWOvkMXDNKhZBbJ35jDn7DVn6szXXNOaN697Na+9tnX11Z4tnqnmuN6zYcMGKXIgnZAw%20JBh5SRgSTGEvx3Si2Ds7ha2dTERIfPKaGzRVNGrUqMJYqBgBBBBAAAEEEEAAgeQCu3e3lxkyJPnC%20uS6hAWhIuVaftLJq0gm9qsE8m8K87rnnHvPL+PHjk64G5RFAAAEEEEAAAQQQKFBgz5525YMHF9iK%20S9UagIbkslRhZapJJ2T+wUyYyuSpPHdCfpH5Cn2E9llnnVXY+lIxAggggAACCCCAAALJBfTYfdCg%205AvnuoQG0JfTCRG97rrrjKtkEXLWk1yEbR5AIU++42SnXHsclSGAAAIIIIAAAghkFmB2IoSwmtkJ%20CUaeSiGZgycqeQzFPHONCy8EEEAAAQQQQAABBOoj8Npr7Vjqc7KThlSpUmXphKy1PDNbHjFhznqS%20Z9hJdiE3dOro6KgUhMYRQAABBBBAAAEEEPAJMDsR0inKSCfkNprm5Y9BHlcnd6uUP23fvl2yC3IJ%20xi4CCCCAAAIIIIBAHQW4dqLCdKKOHYKYEEAAAQQQQAABBBBwF+BkJ9IJ995CSQQQQAABBBBAAAEE%20XifAyU6kEwwJBBBAAAEEEEAAAQRSCnCyE+lEyq7DYggggAACCCCAAAIIMDtBOsEoQAABBBBAAAEE%20EEAgpQDXTpBOpOw6LIYAAggggAACCCCAALMTpBOMAgQQQAABBBBAAAEEUgpw7QTpRMquw2IIIIAA%20AggggAACCHCyE+kEowABBBBAAAEEEEAAgZQCnOxEOpGy67AYAggggAACCCCAAAL79rUNBgyoGEMD%200JAqDah/pa3TOAIIIIAAAggggAACTRDo7GxH2b/q42cNQEOq1K9qjkpXnsYRQAABBBBAAAEEEHAS%206OpqF+vXz6l8cYU0AA2puLYcaiadcECiCAIIIIAAAggggEAfF2B2IqQDkE708ZHB6iOAAAIIIIAA%20Agg4CJBOkE7s2rMv7MehB1HEVQBkVynK5SRAl7Mh0cipW1ENAokFmniY0cSYE2+YHBcgnSCduPy2%20J8J+cuxpVAUyfaBkAbqcDY5Gyd2P5hAwAnJcHjb6rly6qZ5KTYy5YknSCdKJirsgzSOAAAIIIIAA%20Agg0V4B0gnSiub2XyBFAAAEEEEAAAQQqFiCdIJ2ouAvSPAIIIIAAAggggEBzBUgnSCea23uJHAEE%20EEAAAQQQQKBiAdIJ0omKuyDNI4AAAggggAACCDRXgMfYkU40t/cSOQIIIIAAAggggEDFAsxOkE5U%203AVpHgEEEEAAAQQQQKC5AqQTpBPN7b1EjgACCCCAAAIIIFCxAOkE6UTFXZDmEUAAAQQQQAABBJor%20QDpBOtHc3kvkCCCAAAIIIIAAAgjUU6B/PcMiqqoEul7dGfZTVUi0iwACvVhg1559YT8Z17q4mjMG%20xuIIINBUgf49h806TVHVmtRnnmS/AOlEVR2hpu3umP+BsJ+aRkxYCCDQWAE54r/8ticCf65cuinL%20ahVXc5aoWBYBBJotQDoRsv1IJ5rdsYkeAQQQQAABBBBAoAwB0gnSiTL6GW0ggAACCCCAAAII9EoB%200gnSiV7ZsVkpBBBAAAEEEEAAgTIE+vVrt6KPxy6j1aA26vN87v3RcbJTVR2BdhFAAAEEEEAAAQSa%20I8DsBLMTzemtRIoAAggggAACCCBQMwHSCdKJmnVJwkEAAQQQQAABBBBojgDpBOlEc3orkSKAAAII%20IIAAAgjUTIB0gnSiZl2ScBBAAAEEEEAAAQSaI0A6QTrRnN5KpAgggAACCCCAAAI1EyCdIJ2oWZck%20HAQQQAABBBBAAIHmCJBOkE40p7cSKQIIIIAAAggggEDNBEgnSCdq1iUJBwEEEEAAAQQQQKA5AjzG%20jnSiOb2VSBFAAAEEEEAAAQRqJsDsRIXpxNy5c/vtf/ljWLhw4ZgxY+RP8u/SpUtr1msIBwEEEEAA%20AQQQQACB/QIDBrQh9u2rWEQD0JAqDah/0a1v27Zt8eLFga3MnDlz9uzZmzdvlr/Kv9OnT5fsouh4%20qB8BBBBAAAEEEEAAgcQCgwe3F9mzJ/Gy+S6gAWhI+dafsLbC04mrr756x44d/qhkLsKfZkh2sWXL%20loSrQHEEEEAAAQQQQAABBAoWGDSodumEhlTwqkdXX2w6IfMPYVMTd9xxh4lsyZIlXV1dM2bMMP97%208803VwpC4wgggAACCCCAAAII+AR0KuC11yrW0QB69+yEnOM0bdq0sFxCtsGyZcvk39GjR0sx+WXe%20vHlmwyxfvrziLUTzCCCAAAIIIIAAAgh4BDjZKaRLFDU78alPfcokDDrtYAewbt06878TJkwwv3R0%20dJjfV69eTe9FAAEEEEAAAQQQQKBeApzsVHI6YZqTXGLRokX+pnfu3GnePOWUU/SvklHUq9MQDQII%20IIAAAggggAACRoDZiZLTiSOOOEIuigjMJWL75KpVq2LLUAABBBBAAAEEEEAAgfIEuHai5HRCbtxk%20Loqo8LX39a+ISDwlI/7XVOJe3rFkQdVK62E1p9gugZ7+FQyr2ZEiRczZa3avIaxkyVswe2fet/+W%201XIXhOzr7qkhrObsMSftzO6rRs22VZBGxB3WE3Qhai7BOaQzh21B180XvsdoYs3u+4bgkiEaxQ2T%20rAGb5RmA6ph6mHT1nOy075VXArdK6ppjt7H3M7RmN4rtJ8cTYR/z+uC5iDIuR6X+emT+YdKkSbLs%20ggULZs2aZSqZMmXKfffdJ7+sXLly4sSJLjWHlVmxYoX8aeTIkXaBax9sjyX/UtecMTBLc8Ut+2pI%20yAdljjdM48ZfXxi2On+80Ok5g2E1Z0cuqOYwZHHI6FxczcV15ibGXFDHkA5AzWZvIL1i4UPBOyMZ%20I7NOS78/omZ7f1u+hmy+2RNCb5/fNfiQ2E+3sJgzdoyIXpe95tiVSleguM1nNMJeWT6niou5N9Vs%20d7mRn/vcYfuPVJ+78cad55zj2FVyHCbjxo1rN3r77a2Pf7z79/PPb8nvhb0cc4HenE4cc8wxNu81%20978apn3tBw9y3BAmvx84MP3HZ2BDYdWGxZw94LCaI9KJ5y95XX+tT8wZNYrrGNSc7wDsNV1OWMof%202lmGiXwWzn8weP8pH7Rzzki//6Rm+9MkF43AYRJW8/D+u/72qcsDP5W6Bh/6widvtf+UqOaMHcMc%20QAf2uuw1O37cRxfza+Sy+aRRao7udbk4p+7MR1555WH/8R8S4e+/+tWXPvpRfydJXXNstzQ1H0gn%20lixpffKT3UtNn9767ndjF09doMHpRMbJECEzsxOTJ0+2+S781q/CNL9z2dtdoCWwjRs3iuzYsWNd%20yjuWiag2LObsAYfVHJFOjLh2ja5RrWLOqFFcx6hzzZ2dnZs2berfv/+YMWPyHSYF1RxWrQSfcZhQ%20s90BAjV27dl3+W1PBO7QDhk84BsXHe+yr6PmEpzDOnPYFuwYuPvLWy4N3Hz9Dho6fM6P9U9yes/m%20zZsHDBggt3e3y4fV7N4xyq/ZpbtGlwmMOZdhQs22fEEambrcJZe0bt2fZt9yS+viiz39JFPNcf1y%20w4YNr0snJAwJRl4ShgRT2MsxnSjqRrHR6zV06FBTYM2aA0eo8qiKwjSoGAEEEEAAAQQQQACBDALc%20KDYEr5p0Yvz48SYefcqE5BLmd30SRYatzaIIIIAAAggggAACCOQqwI1ia5VOSDBTp06Vf2XyVO4B%20Jb9cffXVJsKzzz471y1PZQgggAACCCCAAAIIZBbgRrF1Syc+9rGPmZCmT58uJ2YtXrzY/O+llwaf%20x5m5C1ABAggggAACCCCAAAJpBZidqFs6IU+lkGdme6KS+8aOGjUq7UZmOQQQQAABBBBAAAEEihEY%20MqRd7+7dxTTgXKsGoCE5L1pEwWqunTBrIs/MlvzB3CZC/pWnaOszKIpYVepEAAEEEEAAAQQQQCCl%20wCE9D2PZtStlDXktpgEcfHBeVWapp4x0Qm4qal7+QCV/kLtVyp/k38qfop3FkWURQAABBBBAAAEE%20erOAHrvXJ53QDKdS9zLSiUpXkMYRQAABBBBAAAEEEMgsoMfur7ySua5sFWgApBPZIFkaAQQQQAAB%20BBBAAIGyBDjZKUSa2YmyuiDtIIAAAggggEANBOQJ1oE/NQiNEOotwMlOpBP17qFEhwACCCCAAAKF%20C0gicfltT/h/rly6qfC2aaDpApzsRDrR9D5M/AgggAACCCCAAAKVCXCyE+lEZZ2PhhFAAAEEEEAA%20AQSaLsDJTqQTTe/DxI8AAggggAACCCBQmQAnO5FOVNb5aBgBBBBAAAEEEECg6QKc7EQ60fQ+TPwI%20IIAAAggggAAClQnoyU48d+L124AbxVbWJ2kYAQQQQAABBBBAoDECNZyd4DF2jek9BIoAAggggAAC%20CCDQxwVqmE7ohEmlm4bZiUr5aRwBBBBAAAEEEECgEQIDB7YGDeqOdO/e1p49lYUsTUsA8pJgTDxV%20v0gnqt4CtI8AAggggAACCCDQCIE6TFDs2tWmqseZThIM6UQjOi9BIoAAAggggAACCFQtcPjh7Qhe%20fLGyULRpDaayUNoNk05UvQVoHwEEEEAAAQQQQKARAqQTQZuJdKIRnZcgEUAAAQQQQAABBKoWGDq0%20HcHOnZWFok1rMJWFwuxE1fS0jwACCCCAAAIIINAkAWYnmJ1oUn8lVgQQQAABBBBAAIFaCZBOkE7U%20qkMSDAIIIIAAAggggECTBDSd4GQna7Nx7UST+jCxIoAAAggggAACCFQmoJcrcGcn0onKeiENI4AA%20AggggAACCDRUgJOdgjYcsxMN7c6EjQACCCCAAAIIIFCuQK3SCe7sVO7GpzUEEEAAAQQQQAABBLIJ%201OraCR5jl21jsjQCCCCAAAIIIIAAAuUKcO1EkDcnO5XbC2kNAQQQQAABBBBAoKECtTrZidmJhvYi%20wkYAAQQQQAABBBDoowKc7MTsRB/t+qw2AvUW6Hp1Z+BPvaMmOgRKFWjcMAkLWN4vFY7GEMhXINfZ%20iZTDRO9Ry6XY+W5cakMAgeYK7Jj/gcCf5q4RkSOQr8DBnbsCx8jzN5yXb0N51RYWsKxFbWPOa92p%20p5cLaDrx/PMZ1zT9MNGmhw3LGENei3PtRF6S1IMAAggggAACCCDQqwVGjGiv3vbtla2nNq3BVBZK%20u2HSiaq3AO0jgAACCCCAAAIINEJAJgQGDuyOdOfO1p49FYQsjUrT8pIwmJ2oYAPQJAIIIIAAAggg%20gAACWQSqnaCo39SEWDI7kaVDsSwCCCCAAAIIIIBAXxIgnfBtbdKJvjQAWFcEEEAAAQQQQACBLAKk%20E6QTWfoPyyKAAAIIIIAAAgj0aQHSCdKJPj0AWHkEEEAAAQQQQACBLAKkE6QTWfoPyyKAAAIIIIAA%20Agj0aQHSCdKJPj0AWHkEEEAAAQQQQACBLAI1SSc6OrKsRL7Lcil2vp7UhgACCCCAAAIIINB7BfQ4%20vpIn2XGj2Nr2rK5Xdwb+1DZgArMFwjafvA8UAkUINLHLNTHmIrYddfYCATpzORuxiYdGJcVck9mJ%202jwSWzoksxPdo3LH/A8E/pQzYmklo0DY5pP3M9bM4ggECjSxyzUxZrofAn6Bgzt3hXXm5284D7G8%20BMKc64xcXsykE75+RjqR19CjHgQQQAABBBBAAIHeLkA6Uat0YsqUKf2CXr29G7J+CCCAAAIIIIAA%20As0U0Gsn/vCHClZAG+VSbKO/adOmCjYDTSKAAAIIIIAAAgggkE7gqKPay/3ud+kqyLSUNqphZKou%20n4WrPNlp8+bN+awEtSCAAAIIIIAAAgggUILAIYe0Dj+8u53du1vPP19CgweakOakUXlJABJGbV6V%20pRPr1q0zCAsWLOh6/as2OKkC2bWr9dWvtt73vpZMQsmP/PIP/9CSN3khgAACCCCAAAII9AKBqiYo%20ajk1IduzsnTi2WefNd3ptNNO6wX9qr0Kq1e3Tjqp9YUvtB5+uCU3BpYf+eWqq7rflD/xQgABBBBA%20AAEEEGi6wJFHtteg5POdtDkNoB6SlaUT69evNwLPPPPMmDFj5JLsadOm6ZRFPXASRnHvva0zz2w9%20+WTAYvKm/EkK8EIAAQQQQAABBBBotACzE6/ffJWlE2vWrDGRzJw501xEsWzZsjPPPLOpGcV3v9v6%208IdbL73UvUpHHNH65jdbv/9994/8Iv8rL/mTFJBivBBAAAEEEEAAAQSaK6DphBzplfnS5up0HbYA%20VJZO6HXYO3bs0A0hv1922WVlbpd82pJVkDOazGv06Nb997dkLd74xu4f+UX+V940LylmrW8+rVML%20AggggAACCCCAQGkCzE68nrqydGL1/msJJkyYsHbtWrkSe+XKlcOHD5d35P1Vq1bl0h/2vv6Vok5P%20DfK/phLP+51/9Vet/WezdY0Zs3f58r3veMfrCsj/Ll8uf+pe8ne/k8KO1Wpz/sj9NYS9ExhwRM0R%20SoGeYevSoJjdVzmCPdC5zjXv27evu8d2dbkPE8del6LmMKje2uUaOLS7e0vIy9uFEg4TarbBojSy%20DZOwmrscd1Nh43rv3l5Vc7a9XG/rzI5dLuTQqBoNx5hDDo1CO7O/Y3S+4Q2mks7nnrP/mrRmxwF4%204FOjrtdO9JPjibCVkesZzJ8iykRAJP3TwoULZ8+eLUvJvZ5mzZqVdHG7/IoVK+R/R44cab957YPt%20ZMBf842/vjCwuT9euDQ2jEMfeODNV1xhim392tdeOuuswEUO+9GPRn72s+ZPz3796y/LpRQOr7CY%20rzljoMPSUUXCag6jkLpcNKRY42KO6BgZnSNq/vL79gRunq7BTvd962U1ZxmATexyETGHdYzu/XC2%20vpFlaL+6t7XwoeD950EDW7MnBHdml5jT1exCEV3zrNPS70IriXl4/11/+9Tl/p1G1+BDt33i5tiP%20g7CYw6rdv+36XM3SmYvrGI2ruaAuJ12rOOeCYg7cyx32//7z6C98UVbnpQ99aOuiRdFjMMcBOE4O%20j//t37qb+8EPWn/2Z7FjP3sBx1ygstkJ/xrqLZ70soqMCgNf/0pRm6cG+V9Tif3+kX//9+bNneef%20/+qHP+xfxLwjf5ICpqQsEhhbWHP+yMNacQnYlMmu4aeIrrm2MUdQZIw5ouaO7/154I/jFuxlNYet%20Th8cJmEdQ97PqOHezwOHdtjiB3fuCot5xB3/n0vMSWv2Vxu4Z47eyxU0tMM0com5oGGSsWNU8mlS%20XMwFdQzPYUN0K4kGYKE1O3a5+gzAgjpG4Lg+dN032ltq+3Z7gyY9NEoac/dFueZVs2snajQ7Iec4%20TZo0SYjOOeece7PdBMnMTkyePNneThd+61dhmy3se7sR17avFzcLyizNxo0bJVEbO3Zsu6rbb299%20/OPdv48Y0Xr88Vb0fbvkuehve1v33WPl9f3vty64ILTankDDYv7OZW+P6IL6p4CA42qO+ArT1khR%20c21jjugYGWMupMvt34LZa+7s7JTH0vfv31/uq5bvMCmo5rBqIzQcN1+Kmh2HSa+pedeefZff9kTg%20Pqdj4O4vb7k08E/9Dho6fM6P9U+BGilq9lQr9Set+ZDBA75x0fEuu9CkNYdpZI/ZseawLhfm7L75%205GQnueJxwIABo/VSwP2Cvalm944RqBHRmZtYs2OXkz5QHw3HmHPpzAO27x72T/uPKkeNavU8lDmX%20ms2uyb/T2LBhg7w/Tm7qs2VLdwn5Xz0WddmdpS1T69kJyRwkPnnNnTvXv4KjZNs05XVzzyzzzJkx%20uYSskVyZLcXMSxdsypoSJwIIIIAAAggggIB8i3Foz1keVT13omazE9Wc7KRXNcjNYbVb3nPPPeb3%208ePHN6OvPvrogUdJXBr8/Zx3RbSYTL/I4rwQQAABBBBAAAEEGiXQNWRA16D9h9Avv9x6/vlyYu//%204ovdzcnr0ENbhx9eTqOOrVSTTsj8g5kwlclTee6E/CLzFYsXLzZBnxVyNbPjKpVXTGcYPvGJ1nHH%20ObUrxaSweTFB4URGIQQQQAABBBBAoF4CnYcPagf0zDPlRDZIZ0Le8pZyWnRvpZp0QuK77rrrTJSS%20RchZT3LVhHkAxYwZM5pxspPcEUvzAcepCbPCWlgWD7+tlvsmpCQCCCCAAAIIIIBAmQKdhw8uOZ0Y%20SDrh38DTpk2TzMHzvjyGYt68eWX2hvRtLV/ennJ6+9tbZ5+doB4pLIvIS2aspBJeCCCAAAIIIIAA%20Ao0SODA78eyz5QQ+8Le/bTfE7IQtvmjRInnEhDnrSZ5hJ9mF3NCpo6OjnK2StRXNBM45J3FVmn6Q%20TiS2YwEEEEAAAQQQQKBigc6hpc9OkE6EbXN5XJ3crVLuOrp9+3bJLhqTS8j6aCaQaGrCQJBOVLwT%20oHkEEEAAAQQQQCC9QPnXTjA7kX5r1XTJTZta69d3xzZkiFw5njhISSdkQXlJJVIVLwQQQAABBBBA%20AIHmCHQOLftS7APpxJvfXDenyi7FrhtEsnjsM50GDEi2rJSWRZigSKzGAggggAACCCCAQC0EKrgU%20m5OdarHlcwziP/+zXVmKqQmzpKYTWlWO4VEVAggggAACCCCAQGEC5Z/sxI1iC9uYVVW8bl275UmT%20UoagC2pVKStiMQQQQACBZAJdr+4M/ElWC6URQCCVQO8YgF2HDGw/yU4eY7dzZyqJBAv1f/nl7sfY%20yevgg1tvfGOCJUspyslOiZn7v/CCPH6ve7FBg+QJ3omXNwvIgrK4vKSq/Q/c4IUAAgggUILAwZ27%20dsz/gP/n+RvOK6F1mkCgjwv0pgHYdfj+62DlVfyT7Op8HbYAkE4kHtdD/vu/28ukziU0ozC/MEGR%20eCOwAAIIIIAAAgggUKVA5zDSibY/6UTijnggnTj55MQL2wtoNkI6kcmRhRFAAAEEEEAAgbIFDqQT%20v/510W0Peu65dhP1e4adBEY6kbgDHEgn3vnOxAsHpRP9Hn00Uz0sjAACCCCAAAIIIFCuQOfwg9oN%20btlSdMuDfvObdhNvfWvRbaWon3QiMVr+JzutXZs4CBZAAAEEEEAAAQQQqE5gn6YTTz5ZdBSD9PKM%20UaOKbitF/aQTidEGm+uw5ZXXtRN6MUbiWFgAAQQQQAABBBBAoAKBzhHMTrTZSSeS9b8Bzz/f79VX%20u5cZNqz7J8tLa3jlFak2S00siwACCCCAAAIIIFCmQDUnOzE7UeY2LqitnG/U1XM9zYFqC4qbahFA%20AAEEEEAAAQTyE+i+FFueAiGvP/yhJU8RKO71wgsDtm/vrl6a41Ls4pxLq3ng737XbuvNb86h0Z5K%20DlSbQ6VUgQACCCCAAAIIIFC8gF4YXejV2Fp5La/DFmVOdkrW1Q5MI5BOJJOjNAIIIIAAAggg0LsE%209NSjctKJWp7pRDqRuE8zO5GYjAUQQAABBBBAAIFeKUA6sX+zMjuRrHcfSCesc9d27dkX9hNTe9pr%20J7pe3Rn2k2x9SixNzCVi0xQCCCCAQGKB4j6nyq858cqzQDoBTScKvVesVs7sRLrNVLelAmcnLr/t%20ibCfmPjTXjuxY/4Hwn7qJqbxEHNtNw2BIYAAAggc3Lkr7HPq+RvOy+JTfs0ZA86ysn1uWWYnmJ1I%200en7m7vEyuvww1Ms7l2kp5ID1eZQKVUggAACCCCAAAIIFC/ApdikEyl6WfuhE7KkuTVYxldPJQeq%20zVghiyOAAAIIIIAAAgiUIzB2bLudjRtbe/YU0qZUK5WblzZXSEvpK+XaiWR2/Xbvbi+QSzpxUPt5%20igeqTRYOpRFAAAEEEEAAAQQqEhgypDVunGm733//dyFBPP64qXbPsce2pLlavkgnkm2W/ppO9GQC%20yZb3lO7JSQ5Um6k6FkYAAQQQQAABBBAoUeBtb2s31nPcn3Pbmk6MHp1zzflVRzqRzJKTnZJ5URoB%20BBBAAAEEEOjFAiecYFau8NkJ0ole04tIJ3rNpmRFEEAAAQQQQACBrAI96USroJOdeqrdQzqRdVPV%20ZvkDZyXlcu0EJzvVZssSCAIIIIAAAgggkFhA0wlOdkps11cXYHair2551hsBBBBAAAEEEPAJcLIT%20T8VOOiy69ArsV15JumxA+Z5KDlSbQ6VUgQACCCCAAAIIIFCKwNChrWOO6W5p797BW7bk3KSc6bR3%20b3fdI0d2HnpozpXnVx2XYiez7NRbdOWaThyoNlk4lEYAAQQQQAABBBCoVKBngmLw5s05x9FzAtVu%20ffx2zg3kUx3pRDLHA9MI+njsZBW8vjSzE1n0WBYBBBBAAAEEEKhcoPh0os7XYQs/6USyPsjJTsm8%20KI0AAggggAACCPRugbe/3azfkCeeyHlFH33UVLhnzJica861OtKJZJw5n+zUM8XByU7JNgOlEUAA%20AQQQQACBmgi8613tdOKxx3KOaM0aU+Hunowl5/pzqo50IhlkVzHXThyoNlk4lEYAAQQQQAABBBCo%20VOCUU1r9u4+oBz/9dP8XXsgtlB07Whs3dtfWv/+rpBO5sdagIk52qsFGIAQEEEAAAQQQQKA2ApJL%20SEax/zXkV7/KLaxf/KJdVU+6klvNeVfE7EQy0U69UeyLLyZbMrB0TyUHqs2hUqpAAAEEEEAAAQQQ%20KFFAz3cqIp3oqbzE9UnWFOlEMq+9Rx3VXuDZZ5MtGVi6p5ID1eZQKVUggAACCCCAAAIIlChQxOUT%20PRdOtEgnStySZTS1901vajfzzDM5tNdTCelEDphUgQACCCCAAAIIVCLQc7LT4ByvxrZPdqpkpZwb%20ZXbCmWp/QWYnknlRGgEEEEAAAQQQ6PUCPRMI3U+y27kzh9WVSnqeYcfsRA6etaqiqHRCJz1qtbYE%20gwACCCCAAAIIIBArMHhw1/jx7VJ6klLsUhEFtJJ3vrM1eHCWmkpYltmJZMhFpRN6SUaycCiNAAII%20IIAAAgggUAMBvcLh4YdziEYrqf2FE7KypBPJtnhR104wO5FsO1AaAQQQQAABBBCokUDX6ae3o1m1%20KoewVq5sVzJxYg61FVwF6UQy4H1HHNF+9IQ8psThSSVdr+4M/OluVWs4+GCpNlkclEYAgTiBsNEn%2078ctyt8RQAABBBBIJpBzOqE5CelEsu3QkNJ7Ro1qR7puXWzIO+Z/IPCne0Fd/IQTYuuhAAIIJBUI%20G33yftKqKI8AAggggECMwLhxe48+uruMPM062+UTA559qfX8891V/cmftMaNq788sxOJt9FuPfp3%20SCeiatfF9dqdxLGwAAIIIIAAAggggEAtBF5597vbcWQ732ng0y+062nC1ISEWnE6sXDhwjFjxvTr%2010/+Xbp0aS36QlwQu9/2tnaRjOnE2rWmnq6TT45rk78jgAACCCCAAAII1FrglQkTSCfK3kIzZ86c%20PXv2ZrlBb6sl/06fPl2yi7KDSN5ebunEo4+2G2d2IvlWYAkEEEAAAQQQQKBWAgdmJ/RC6lTxDXz6%20xfZykyalqqDshSqbnZC5iMWLF3tWV7KLLVu2lG2QsL3c0glOdkooT3EEEEAAAQQQQKC2ArvHjdvX%200dEd3m9/20r7eOwBf3i1/8493ZW88Y2td7yjtitrB1ZZOnHHHXeYOJYsWdLV1TVjxgzzvzfffHPN%204TqHDWuNHt0d5GuvHbicOmnQkkvI4vKSqoYPT7o05RFAAAEEEEAAAQTqJvCqnu+0fHm62AZtadjU%20hKxmZenEsmXL9h9Lj542bZr8Mm/ePIO+PK1+um2Wcik9PSn1ZJYuyJlOKbcBiyGAAAIIIIAAAvUS%202PWBnpsH3nVXusgGbexJJz784XQ1lL9UNenEup7zfCb05HAdHR3m99WrV5evkLjFD32ovUjq5OdH%20P2rXoFUlDoIFEEAAAQQQQAABBGok8PLkye1o/vM/W9u2JY2s3yt7Bz3Z83Ckc89NunhV5atJJ3bu%20bEudcsopuuaSUVSlkLjds88+kE7s25d48a6u1n33tZfSqhLXwgIIIIAAAggggAACNRLYd+SRLb27%206913J41ssE5NyEXY5ikWTXhVk05Ey6zKdrPeMtjHjGmddFJ3Q7t3y+lZSVsctGVn94LykkqkKl4I%20IIAAAggggAACvUNAZxWSn+80aFPPmU4f+UiDMOqYTjSDz56gSBjxoM0901hMTSSkozgCCCCAAAII%20IFBrgSzpxMaeB9g150wn2Rb95K5KYZtEni5n/hRRJt3mlPmHSfvvpLtgwYJZs2aZSqZMmXLf/lOA%20Vq5cOTHbUwBXrFiRLjD3pUY88sjJ+yN/+dhjH7nlFvcFpeSpl1xy6NNPyy+PLly4/dRTEy1LYQQQ%20QAABBBBAAIE6C7znkksO2X+k98v587e9//2OoXb89KfvmDNHCu869tif+Y4tR44cOW7cOMeq8irm%20mAv0ztmJyXodTF6cvnq2T5iw76CD5G1JDEYkuXxcCptcQhaXSgoLkIoRQAABBBBAAAEEKhDY9r73%20mVbfpNfKOkShhXVxe6HycwmHkNtF6jg7kftkiDtHspKf/3zrxhu7F/nEJ1r773vr9Jo6tfW973WX%20/NznWv/n/zgtQiEEEEAAAQQQQACBpgisX3/gCXTyJfIxx8QH/utft449tl3sl79sX6Mbv1ixJWo9%20OzF06FCz9mvWrFGGbclvp1UsYWztl17aLiLpwVNPxRbvLiDFTC4hL13caUkKIYAAAggggAACCDRB%20QO61o9fH3nqrU8RaTBY09/tpzquak53G9zy7TZ8yIbmE+V2fRNEAw5NPlgs+2nE6Psxbi8mCsjgv%20BBBAAAEEEEAAgd4ncPHF7XVKmk7ogs0xqSadEJ+pcs5Pq7V58+alS5fKL1dffbVBO7tZNzvSGYZF%20i1p/+EPMdv/971tSzLyYmmjOICFSBBBAAAEEEEAgmcAnP9l605u6F9m8ufVv/xazrBSQYvKSRWTB%20pr0qSyc+9rGPGavp06fLiVmLFy/uOczuOYOoEZQXXNA64YTuSLdvb/Xcoio08Nmzu4vJSxaRBXkh%20gAACCCCAAAII9FYBnWe44YaYVdQCDZyakFWrLJ2YNm3ajBkzPLhy39hRo0Y1rFMtXNgOWG7p9a//%20Ghq8/Env+aWLNGxVCRcBBBBAAAEEEEDATUAPdB98sHX77aHLyJ+kgHn5jo3dWqq4VGXphKz3okWL%20JH8YPXq0/C7/LlmyRJ9BUbFKoubPO6/1F3/RXkLmH+TCfP9L3pQ/mZcUlkV4IYAAAggggAACCPRi%20AblT0xe/2F4/eaBEZ2fAusqb+5810f2Swnpzp0axVHOj2EYROQS7Y0f3+Uu/+113UcmOvv/91rve%20dWCxX/yi9fGPt0+JO+qo1uOPt4YPd6iUIggggAACCCCAAAJNFvjjH7sPEeVfeV15Zesf/sG7Ml/4%20QuurX+1+8w1v6D5ElH/r9Kr1jWLrBJVHLJIe6ElvciXNBz/Y+ta3uq/Mlh/5Rf7XXF4jLylGLpEH%20OXUggAACCCCAAAJ1F5D0YMGCdpCSNvzjP74uYPlfk0vIS86Er1ku4W7L7IS7VVzJe+/tnoV46aXg%20cocd1j1roTeWjauMvyOAAAIIIIAAAgj0BoE///PWP/9ze0Xk7HdzvbXcQFYzjc98pvV//28N19Rx%20doJ0ItdtJ4/OkCdkP/mkt9K3vrX76XUTJuTaGJUhgAACCCCAAAIINEFg8uTWj38cHOgHPtBasaKe%2060A6UdF22bWrddNNrWXLWhs3dkcwdmxr2rTW5Ze3DjmkooBoFgEEEEAAAQQQQKBqgenTW/sftva6%20lxwlLllSdWSh7ZNO1HbTEBgCCCCAAAIIIIBA3xP4wQ9aX/ta67HHutf8xBNbn/1s6/zz66xAOlHn%20rUNsCCCAAAIIIIAAAgjUWsAxnajyuRO19iM4BBBAAAEEEEAAAQQQiBMgnYgT4u8IIIAAAggggAAC%20CCAQIkA6QddAAAEEEEAAAQQQQACBlAKkEynhWAwBBBBAAAEEEEAAAQRIJ+gDCCCAAAIIIIAAAggg%20kFKAdCIlHItFC2zZsmXbtm0oIYBAJQIMwErYaRQBI7Bu3TooEOhTAn3oqdhydPv444/L1p04cWJT%20trEcE/zsZz/79a9/fc4554wfP74pYc+cOXPx4sVf//rX//Iv/7IRMd99993r168fNmzYWWedNWrU%20qEbEvGrVqoceeui0005rSn9mAJbWrxiARVNLZ3744Yd/85vfvO9972vKnlk+TbZu3Tp06NCmBGwO%20yv/rv/5LfmnQnlmcZQDed999a9eubQS1dOYf/ehHcphxzDHHiHNHR0fRwyd7/QzA7IbuNTjeKLbV%20Ff7SxiLKNOVPS5YsGT58uFmj0aNH33XXXTWP/I9//OOMGTPs7T116lR5s+ZhS3grV65U5/pHK6QT%20JkywnaWr1Dxs6b3ShzVmiV8+t2oeMwOwtA3EACyaesGCBfppIsOwEXvmOXPm6B5Dvpyq/x5DIpQ4%207T2zsBe9ZXOpX+I0YcsneC4VFlqJONudWX6vf99gABbaJfyVO+YCfSKdkMMvfx5W86NGzzGuiV92%20ryV3oxTN6dGMBFz/tC3Quc5hB3ZmyS7qnGoyAFOMo9SLMABT07ksaB+X68eKZBQuy1ZVxh9zzY8a%20N2/ebB/jqnMjMgpNJyTsOu+WpTcGOou8vF9VX41tlwEYS5R7AdKJA6R6yCg7fXkpTW2zcEl1TJAy%20sGXwyEv3rTXPggRdznGyvwbLvWfnWKEeeEkPEVgzHSTUdUbWeQnpyfK5pX1b2HOUybcqBmC+ntG1%20MQCL05bDLN25yW7Z/pa0tp8mckRrx6yDsc7fQejMvAQpyPZEfZ2PdE3Hs48xap7/aOYjMcunnpkO%20EvPadmYGYHE7t4iaSScO4BgL2Y2at3QI6TuVbKGIRjX/1uNa/X635l+D2byGvc57f+0JOh0hh2I1%20/z7J05klWpNq1nnmigFY5h7G/nKUAZivvH4BIbtoU7O+U5MDR4lHXvZa+2PWk4h0LfJVSlqbfMx5%20PiY059H39TOxDt+byF43Igz7HC05NE+qUVB5kfR/Taahmk+96PUqKLCIal06c90GoBiKsz0G6z8A%20Y7esYzrRe+7sJFemzp07d8qUKfKvXAul66+/6AVGs2bNMl/xrl69eunSpf6Spb0jrcs1WxLzTTfd%20ZN8HaceOHSaGt7zlLeaXj3zkIybmZcuWlRaevyEJUkKdtv8VRvfUU0/Jgjqd8vd///cVBixNS2dY%20uHChIAu1dJLAYA4//HDzvlw7XocL0dw7s0Qr20Iil0v2q3WW/iDO0j0CR5/EVs8BGBhzzQegxCza%20YXdOq+cAlJjlhgdhXbSGA1ACllfY/Xnktg1mXeRGCGbPvGbNmmoHoLQuu4JJkyZ94QtfCIxEY160%20aJEpMH/+/LDRWs66SB8eM2bM9OnTb775ZrtFHYB6Y4xLL73UFPjXf/3XcmILa0V2zmPHjr3iiivC%20+vOmTZv0E1AO4qs9xjBrIbtl6aXiHLbTMDtn+bc+d09x7Mz1GYAylOTgU/qGOH/ta1/z958aDsCc%20h1L2CY7YzKboApIOeq7Z8pyvYg5t5V+NRM8mqurLA5lMtK+mlfDsGUb9ftH+OkHXsWjPsPrtq2lN%20L5SQ/N/lmzj1NABhr/D7fv95lvYXcp7ZCfkWQWbVJf4K5yhiO7P/ezszt17htJW/M3u+BmvEALRj%20bsQADDv9vc4DUHqvvTdoxAC0L6jVE4fsDw7TvevwrbkeHNhfjsrwNO/buwg9fajay4X1i1vPx4R+%202NmzFvqhU9UnoOfshrAJYROnnnNYh3lj9fTMoXlmJ2QfaE4Ir8PpvoGduZ4DUM5u8ByCSvDades8%20AB2Hkm6L6PK94VJs/4Y0K6/n/+m5jPYltno0X/7I0RNUPKmhnswqkctRr+eC4GrTCfv6Tjts/1Gs%20Hs0EHpM5dt9cinnO+tCw9YNfs0qjba9XVZcqxnZmjVmOzOyziqs61yKsM9u9tykDUGNuygAMvGiy%205gPQPsW0KQPQ/g5CD8TNxUs6YD2nGOWyB0taie7BPEmCzhVrLmefg17h+aj2x4r9QSy/i63nDP66%20pRP2IaO9pUycsmqBSVHSbZpLeY3E8/2pdmbZ9Xm+evNk/rmEkaiSsM5ctwEYeGm4BGkPq9oOQMct%200lfSCc38zIyEjGE9dtEjXf2ewN7JVvjlgTYtI1aGsbxiL6gNTModu0IuxWxVQbZnKgJ3+rJS+olV%201RSQjmH5ZJKYNbvQeSo7Qv8tnsq/wYVLZ5at6bmDsA71Si4i93Rm7Sf2Rq/5AAyM2TNqajUA7T2G%20/9tl0x/qNgDtPYYeONZ8ANrfR+jBgf/W0joAq72G1fONj300oz3cPmTXN6v6JkKGmC0c/TGhX/dU%20O50iMdvf+PiD0a1gzqE3faPymO1vyjxpm/mTffm4Fq7w4tKIzly3AahbWdzMnQP8p2PUdgA6Hhz2%20wnRC9o/SyTwHr/b3W4ZGtqXOPJjtqh9a9oyqfb+L4r6eCYzZ/krAxKzHkWEDuMxLsSUYcfaYeEgl%20Zj1G9FzPp9/N2Ae+JgMp7n4R5potexjrRrdJ/V+T21mEmR2Sl26g4uappRX/dWYundl0GDttNnsx%20HfDF3eU2sDPrAYFuXP241XcqHICBndklZs9+tswB6O/MehCjmbBOCtnncJqYyx+AgZ1ZI9GvdfQQ%20wZ7SrGoABnZmjVAnMLWreM5lkqGqkcsm0G8uCv0OIrAza0f1HIHZSYLuWOwdmnbpQr/uiY7ZM4Ec%20McNT5qXYgQNQne10wn8qr24FU97smU2vKO4c2rABqDHb6YTdB+yjIJNUmOMl7dvFpZqBA9ClM5sy%209RmAahhxtFDhAPR8kKX7396WToQ9hUf3iXa/18K6e9JdgP2poEeNBZ32GhazPzzZxjqAA7e3hlro%20qVmeE/elUT1A94cXOIo0LzKHkp5PuCLO77dP3Je9tnaDwPD8vcW+q6a9rB6gF5Fq2t/U2g9VdOzM%209geVTknrDqugi1XCOrMeEGhX8R+s69Gw7JVKG4ARndkxZnskljMAwzqzAtq5sdmnedKJ8gdgWGfW%20dML+ukG/ClXbSgZgWGfW/ZXm5P4Ew0SuGbJ+8VzodxARndkjKfsT/6VK9hmJ9nc6upcr4osel5jN%209zv2jaTDDncK3SFroxEDUMsY3rATCkx/1lHpyZeKONKIGIAmZvvLSjMA7c1tz0vo8ZIuUlCqGftQ%20RcMY2JlrOABNZ1ArfwpdyQBMlzkELtWr0omIp/Bovw+8xFaHR+A3MYV+4xgRs36C2l8kR18a4T/3%20Lse+olX5T/jRo1Wz0/F892Y6mZ2U29/NyKbxn5aT79G51KYy2uP1A173+7qCGp4/65DFA7/Py/3r%20mYhnujl2ZvsTIvDoPPecM6Izm6vQREm3rD6+w+6i5Q/AiM7sGLMdfwkDMLozi7A5WV+jMgdYnhS9%205AEY0ZklTolNOoP/1Ca709rfj5YzACM6s2wC6cxSQD84NEv3HHDrPjzw6DzfvZz9ZZN9IornnApz%205CrxB6a+utb2iTeFfuUfMQC1D+t1PtHZQuzsfS6fhtEDUJswm0A7hueAW7eClPdfoZv70Xn0ADQx%206z4h8OQruwZ7dkh7UcSUUTr2iAGoFUZ3ZilWqwGoayQd1Z68kh2gDtLyB2C6rdPL0wn780Y2if8p%20PDJIPLvvwK//A6+9NrsG/wkDGbdEdMwSrYxhz4dBxOxEWNrjP0UvS9jaivmOX4+fzPGK/8ycwK//%207Uk9/eRTZNku+X7Q6oYWPXsnZY5XZI08BwGBX//rftP+6tdlBjOdtv1VnP3NkAnVsTP78yKzvoba%20c/pZujh1qdgBaNev38aZ64LsLlrmAIzuzB6QiJhNyXIGYHRntmMWVc+1TPrXkgdgdGe2Y5bubZ9B%20YQ/MMgdgos4s212/6fcMTO0z9sGWbsF8Tzh07MymdTma0ZkT+4sefVPK6E448PSzjLsLz5AJ/DTR%20JkyXEEztt4Ff3wSmPfl+/ElILgNQ+4/QBR5wmzdlX2efgGp2y/JO7uc7uQxA7T+yjnryVeCe2f7g%20CPyszN43HAdgdGeWMGo1AO0R6jns0S9kSx6A2beUXYOuVHS1tbuzkzmjzg5ad3na1zX/Czts8p/o%20bw7UdFTrWMrldkny0eg5bE0ac+CJ/org2ZlK8DKWZB2zXOAlEXqO7HV8ms9Ce3ou8NPRf6K/LGWf%20uuBPJ7J8AMiynqsjpDnPfe6UPewMZv9VK1KJPc7tNTXxZ7l8wt+ZpTlTraYu9rFs4FgN7MyBRwy6%20+lliztiZPZf0yYbQoVHmAEzUmSNiNluknAGYqDN7JuX0Q6vkAejemfULZt0t6O6rzAGYaM/sx9SZ%20lsDDX+11WaY0/QPQsTPrN/32jjEwbbNntLLv5aS51J8mpnWzY/efo+XJOqSkWR3pMNJ5stx5IvWn%20iT37F5iMBV7TnAty6k8Te8JE+5I9Q2ifKOtPNfPtzI4DMLYzFzcAU3RmO0cyH+72eRk63Ox7Umnf%20zqVv5Js8+GtrXjoh/UOPnGRPod3d/0VsYJ6nBPpX/8SipvLmk8w+Yk6xPcxhvX6uS3OaCCWNOXAW%20UkOyL/zwnD6U9ADd7Ii1c5ivskxD/nQ/bD7XlA+cUrc3jbQiZYRCj8bSnYQjNdgTiFJbRDaoUQXm%20WmFT6rrusjXNRsx4IlxYZ9Z0wj7iD/za3iC7dGZVDbyBkmPHzqszmxUXT91kdmpX2gBM1JmjY7YP%20zkS4uAHo/2ojojPLn8w5Ztp5TIJa8gD0fxZGdGbzDYiMX91n6vdBpQ3ARHtmc/aLBGlvdP22xay7%20nTAH3r8l+wB07Mz2EZi9+5LFzRGhfTKP2Wlk/AIi+6eJphN20i7RCrj/mx0p7Dl9yJ5PdnTO+Gli%20pxPSou7QxFO2voDoh6bpG2ZCXoulm5zP+GlipxN64CuD0cRs3HTnI6GaILOcCJf90yS2M+uK5DUA%20M3Zme+rVkErqqzs6c1CR+wB07PPZizUsnfCfZC8rYD5s9Gst+zuViA/asDsO2VWZDFI/+VJcIiy9%202X9uqNnfpYjZf8chuwfotvT/kmhW3e7fWpUe7amb/b1FxMFB2Nnk5nsj2YXprjPimDi2o9t7Z41Z%20P0XUTb+Ei0g1o0/ADdya0mKKFCiiM8v6+r+Ei0jbIjqzfc6rOUldfZKe7ZpjZ5aqNNnTraOpnf0V%20daEDMFFnjo5ZM8DAYZjjAEzUmXVwSfCeQVrmAEzUmTVmuxvom+UMwKSfJhqe9ij9lkqPtwTBZHea%20YCT9lid6ADp2ZtO67q88J9uYkOz5FglY9+EpLhHO/mmih+YG2ZMJ605ei/kHYNgsdNjHSvZPE3No%20rn3AU6E5YjFnOsmftBtEf10Y/SGY/dPE9EzdCXsqNHsw+0jX45w0Bcrl08SlM+c4ALN3ZhOM57R5%20/SJA8XMcgLHHTjkWaFI6Ye8vZCdif66YAyP/kWvEUaMu7jkByeAG7lACS0ZvDO0oAi3D1Z5XMTsR%2095jtPDuw0cDdaIrrEOwPPPuzxHxTHni0HXakG/HlfeDeRw6VzJmjibq4PX0ki9tzFOb7tsCj7bBU%20M/rrlsCdYIqzhmI7c2DqGJa2RXfmwE+awGmZ0jqz3ZAOUnsnW84ATNSZY2MuZwAm6sx2zEqq93n0%20b+6CBmCizmxHpV1X9wmlDUD3PbOHUQep+bwIO2xK8QVE9KeJY2fWb/olAHtXad7XU1b8Ow1Zr6T5%20j6x+9k8T3VVK69IN/BcbmE//wHQixXUIuXya6Df9snOz59nsTDLwE1B6nYgl+vbBs+6Bh0YuA1C/%206RdJ/9bXz7jAQ+oUZzrlcmjk0plzHIDZO7NsdP92109AexotrwGY6FAqY+EmpRP+U049WV3gJLK+%20aff4wC/CpdvZ39fK73qUZp+hlEhc+5/WrO+YjxP3mAO/upAV0STHPprxfO2RKGbPl2f27tWMBP2g%20tQeGZ8LOtBh4ppM5BTYwpKTfcJhK/HPx+o75fkg/aO0T2/RNidyOJ/BMJ3v/bqZoTTEzwZKI1xSO%207cyBpyTpm3YC49KZ7dPtUsecY2f2iAXO8pczAN07c2zM5QzARJ3Zjtk+gSGsxxY0AN07sycw/T7C%20zn7LGYDue2ZPzP6TNiVg++BAdh1JjxdNE7EDMLYz2zs9f/Zrf1MuzdnH7vb5rol2d9k/TbTz6Npp%205LakJ51IcVCe46eJ6Tz+gM23ihHfS6YbgLl8mugUor9jeL6UNCf8mPLFdebYAejemfMagNk7c9jY%200U9Au0AuAzDRaM1YuEnphHYv+6DfnkbXA277YEs/kOxDSc+hufRLs7v3HFkKrnTEdCPcbBjdoeh2%208kyju8fsOTTX00N1Zc2HjSglPYnF7kManm3omUbXSOwjaf0QtT/47UNzkdSTO9Mdgof1dQ3PrtZz%20TohGYuPYp7Sayj2H5vK/eiCeRdUfeWxntr+z12xHjwhlQ2u3dO/MsgopZtg0+Bw7s+dC0oiThose%20gO6dOTbm0gagY2eWDWffNcslnUj3cRI7AN07swRgf20fmE6kC9KzVOwAdN8zC6ydHoRdA2a+rir0%200yS2M3vOFDIf/xGnqppdYopJCaOdy6eJf6JSdkSBiZP5BBeELMixnVnWK3YABn61rNq5dGC7ktjO%207DIA/dM++k6KqezYdcz+aZK0M2ccgLl0ZmWxvwiWNwPTCT0mST0AY7dCvgWalE5oCm7vu/ULG3Gx%20v0e3D5s8s89SUvf4srhnwjfFHHTEJtHK7Q5h0M3xunvM9vWpnpFv9p4ZP6t0LUx49ryb58JE/V/7%207BT/KSv2sa9nwtdO7bJ3aI3HvoWX58JE/V/7AhjP6R/m8Et3+p6PhHx3qbGdWYLRzmOf/eU//aNZ%20nVl6hZ4/agapffu87J3BU0PsAHTpzI4xlzYAXTqzjEez7jKQzc5H+0mKa8Cit4vLAHTpzFKP2bOZ%20sSZhBy6VSyeJHYCOe2YZm+bAyHxwCLseJ2VJ3QPXMZfObJ+wYS5dCzxOygVZKsn+aeI5+8hMoQQe%209NvJc+r4XTpz7AC0p0p0niTwoD91nPaCsZ3Z5dPEPvtIBqDpvfp1be5HtLGd2WUANq4zm92aoRZb%20zyeg/R1uLh2j5EqalE7IzkI+Gj3zbnY6YX9k2gd//rPhPSmEKsgGTnrifvQGk6alLakzLJ1wj9k/%20BakHvvl+cS4By47PTqs86YTE7P9e337TDJLAk1k1lcryBZLHXGzlKES2uO3gSScCv9fXNzUvsnep%20HvB80wmXzhw4sea/HKVxnTks4HznrEwncRmALp25zJhjB6BLZ7Y/jD09Od/dhfmAjB2ALp05bI/h%20nzTO/jHpMgADZ1w9nyZhe4wijgxy6cxmxT3fmmn3LiIFyv5pIivumXXX7m1/pZW9Vzh2ZpcBKKSe%20eRLt3rnn8y6dOXYAmlEs/dk+VtHune9xkeOeOXYANrEz20dKnj1zvt9l5zIcElXSpHQicMXsk53M%20l0O6SnrA6h/G/oODLBcbJBL3nOzkHrM/ndCvPRIFkKKw/54hgddee3Y9gQcH+rVHijASLeK/AU7g%20tdeez1H/wYG50iDH5CdiLTydWUoGnodgeoJ+jjauM8vHlf/+PPoleqKtnKKwfwC6dOZqY/YPQJfO%20HHjRZL5ZcYS/fwC6dObAS/BL+5RN92niP7NFv3dM0T8TLZKuM/ubMJdlp7uiI1HAUjjdp4m/FWGv%20+aeJP2bZy9X808QTs3zw1f/QyBNz/TuzUS30+8qkozKX8s1OJ/zX4AqK7tzt7wDs84ukjH7UyfsZ%20LzZIuhn8V005xqxz6NlPD00asx6w2t9r6njQ7y08kxj6USfI/q89ksaQtLy/Z9uppn4J55nEsG/Q%205v8OL2kMicoHdmb7SFe/NPLMyDWxM5sJX9OFTN9IZJWlcOAAjO3M0mKFMfsHoEtnlpjtiyalP5dz%20vGi2jn8AunRmWVAGgnZp+SX378vDOk/qTxOpUFbNZMhm55z7mSFhMafuzFlGUMZl032aZGw04+Lp%20Pk0yNppl8dSfJlkazbhs6kOjjO1mWTx1ZzYn0JrPHamktG9Msqxs7LLNTicC7+lpn71qNpJ/aJnr%20a1PcRDUWNLZA4D09XWKWPiedz3PeVGxz2Qv4zwgyddqnvJuPfP/uoKqhEnaDWu0w+l24Z3dguorn%20vKnshi41hN2g1r5mRuqxT2Ix1TaxM7uAFFQmcAC6dOaC4omtNmwAxnbm2JqLKxA2AGM7c3Ehxdac%20+tMktubiCvSazlznAZj606S47R5bc+pPk9iaiyuQ+tCouJCia85yaFRVzIW22+x0wr5xkM0U+xCQ%200r498mw8z42DGhFz4A1qTeT6JaLkZvYpN/qFYlXOnrtgqbM5PVSvOdH9l30CblUxh3Vme5JHAtZi%20OvlWVcBZOnOhO7WIyiNiju3MVcUcNgBdOnNVMYcNwNjOXFXA0m7qT5OqYu5Nndnl06Qq5yyfJlXF%20nPrTpKqAm/hpkuXQqCrnQtttcDqhn0z2PYgUK/BObVUdeGlUgY+gqnnMgU/AMTEHnlCe+3VmKQaA%20nhjm3+KBJ5Tnfp1Z0pijO3PgCeWlnQQSti5N7MwRMde2M0cMwHp2ZukwEQOwnp25l32aNLEz1zZm%20Pk2SfpylKN/ET5MmHhql2DTuizQ4nfCfWiNnqkgWoedh1/AhIP4z7cxlQ3pNQg1j9nQR2elLkHqy%20kDkFUHe48nvlOZv/3Db55sPcG8QMDPlf+6voynMJCSm2M8tKZX+oovt+waVkEztzdMw17MyyIaIH%20YA07c+wArGFnjh2ANdwz977OXMMBGNuZazgAYztzDQdgEz9NGndo5PKxnqVMg9MJu//plXD2HW/0%202LHyA1zdQsptX9ZpLge3t2KWJwdl6Q3+Ze2dqX1Zp8TsOQqv/MtyDd7emdqXdUrMniDrE7NjZ5Zu%20U849plx6UeM6s31oHj0A69MxevEArFVndhyA9dkz05ld9lHZy/Bpkt3QpYbGfZo0cc/ssiGylGlw%20OqHfiHvutyX/W8/L5O3zhv0x1+cw0e5P9lUonpjzfRRdlk7sWda+05En5tLukpl0dejMScVSlGcA%20pkBLsQgDMAVa0kXozEnF0pWnM6dzS7QUnTkRV20LO6YT/f2Hv5W/s2PHDn8M5uae06ZNqzw8fwA7%20d+4MjMrcqXbUqFE1jPmFF17wR2Vuhrh8+fIaBiwhPf/88/7AzN1I582bV8+Y6cwlbBcGYAnIDMBy%20kOnM5TjzaVKCM525BOQaNRGRDzlmJLlnVP4vnnN/2mu+MXse61bVnWoTrZTnsW6V3Kk2UcBS2PNY%20t0bc1JnOnHQrpyjPAEyBlmIRBmAKtKSL0JmTiqUrT2dO55ZoKTpzIq7aFnbMBVo1TCf0sUGlPWYy%2041bUuxSX9pjJjAHL4nrL7dKemZo9Zr3ldmnPTM0eM505u2FsDQzAWKJcCjAAc2GMroTOXAKyNEFn%20LsGZzlwCcglNOKYT/SSUsLmSfv36mT9FlClinuWmm24aNmxYPc9rClvfuXPnfvjDH544cWIRIEXU%20uWXLlptvvvnSSy+t57lYgat89913/+Y3v7ngggs6OjqKMCmiTjpzEar+OhmAJTgzAEtAlibozCU4%2005lLQKYzl4NcdCuOuUAd04miaagfAQQQQAABBBBAAAEEogUc04k6XorNpkUAAQQQQAABBBBAAIFG%20CJBONGIzESQCCCCAAAIIIIAAAnUUIJ2o41YhJgQQQAABBBBAAAEEGiFAOtGIzUSQCCCAAAIIIIAA%20AgjUUYB0oo5bhZgQQAABBBBAAAEEEGiEAOlEIzYTQSKAAAIIIIAAAgggUEcB0ok6bhViQgABBBBA%20AAEEEECgEQKkE43YTASJAAIIIIAAAggggEAdBUgn6rhViAkBBBBAAAEEEEAAgUYIkE40YjMRJAII%20IIAAAggggAACdRQgnajjViEmBBBAAAEEEEAAAQQaIUA60YjNRJAIIIAAAggggAACCNRRgHSijluF%20mBBAAAEEEEAAAQQQaIQA6UQjNhNBIoAAAggggAACCCBQRwHSiTpuFWJCAAEEEEAAAQQQQKARAqQT%20jdhMBIkAAggggAACCCCAQB0FSCfquFWICQEEEEAAAQQQQACBRgiQTjRiMxEkAggggAACCCCAAAJ1%20FCCdqONWISYEEEAAAQQQQAABBBohQDrRiM1EkAgggAACCCCAAAII1FGAdKKOW4WYEEAAAQQQQAAB%20BBBohADpRCM2E0EigAACCCCAAAIIIFBHAdKJOm4VYkIAAQQQQAABBBBAoBECpBON2EwEiQACCCCA%20AAIIIIBAHQVIJ+q4VYgJAQQQQAABBBBAAIFGCJBONGIzESQCCCCAAAIIIIAAAnUUIJ2o41YhJgQQ%20QAABBBBAAAEEGiFAOtGIzUSQCCCAAAIIIIAAAgjUUYB0oo5bhZgQQAABBBBAAAEEEGiEAOlEIzYT%20QSKAAAIIIIAAAgggUEcB0ok6bhViQgABBBBAAAEEEECgEQKkE43YTASJAAIIIIAAAggggEAdBUgn%206rhViAkBBBBAAAEEEEAAgUYIkE40YjMRZLEC/Xpeq1at8rRk/jJlypR8I5CGCqpZ4iyu5nwRTG01%20jLbQrRNtGKZx9913mz/NnDmziK1Q2zoXLlwYZqJ/8g/bjKsj4900mnvNxcWccZUbvXhx2yuaJXpr%20nnrqqdKFRowYsW7dukbzEjwCLgKkEy5KlOkrAtddd11fWVXWs1ECN954o8Q7Y8aMRYsWNSrw3IK9%207777cj+4zy04KkLg9QLSV1evXj18+PAHHnhg/Pjx8CDQ6wVIJ3r9JmYFEwhwyJIAi6JlCcihifTM%20CRMmzJs3r6w269gO2X4dtwoxBQmYvirJP7kEHaSPCJBO9JENzWq6CvSCQ5au/a97773XdZ0rLdes%20aIumCtSYOHGivP/II490dHQUHUCd6+8F2f6sWbPMJpZtWmdqYnMRiNiasvuVrTxt2jSXeiiDQC8Q%20IJ3oBRuRVWgLXPitX8X+xGL1gkOW2HWkAAIlC2y/5hSXn9ioekG2H7uOFEAAAQQaJ0A60bhNRsCF%20C0Qfsmzbtk2uwBszZoy5WFO+f3I5pVvK6JV5snjYOmzZskWutTU1SxNSUpoLK6yXqC5dulQu+JPX%20TTfdJIUDL12NrdmOcO7cuYGXI6dYd9OucgmCZ/X90eo7cgmj8KpzBIW91h4N+VOidQ/cOv4g9SpM%20u7xpSDZEWN+ILeBvKNY8HVfho6iYBmKzfem32mdiR5CJUYSlw5utJhf1Rlw4K13LceBr95Br6M2F%20wvKvbP2wi3eja7YjlBEkEQZefJxi3WX1pWmzawrb58RWa6+U7hsFSmoO6wVhPqa8u0bY9gp0Nuso%20Lzuq2NWPKBC2NaPFUnAVM5ioFYFcBczEa+BL24kow58QqI/Ap775WOxPdFeXK+dMt1+5cqUpaf73%20nHPOMf/7xz/+UU5h9w/BJUuWRDjcddddnkW0Eq1ZFl+7dq0GoOWlZPQIlQK61IIFC/wxu9TsEmGK%20dZdF/GskqzZ16lRdKY+wxj969GjPshEUupRfI1bVZd39QQq1edOYhyFLAe0bgZHYBdL1NxNGUq6S%20h+22q9/l8uOPSp21M+iQ0T/paBVq/9iULiH9MGJ9PSNaGhJMz35AFpfr4P2VS+cJrFljk2jtT1J/%20zC41u0SYbt0DV8oWc6lWV8q/b0zqk5dGoLP/kCZ29aMLBLYSK5aCq+TRSnMI2AKOuQCzE7kmZ1TW%20cIG//uu/NmsQNkFx9dVXy/06pIB8zMgxyubNm80n6PTp0yPmKC688EJTrTmylH9NJZ7X7Nmzd+zY%20IUcz5vDo61//uhSQkhGzGaaALGWqso9d7Mpja/7c5z5nRyhN+yNMse633367ic0ccwuXOVBbtmxZ%207JSOKWyQzVISUuxSfo3YdXfcOrFd+7LLLjMrazafHlXIfIWZV4kt4G/C3TwdV+xK1aeAjDiTUYRN%20UMh3/zIMpYB/BH3qU58KWxGZ0DNd3RxDy0s6m2B6ykvHW7x4sX/gS+eJnjSTaE1VkkIHxhBbs3w7%20bkdoNrQnwnTrLjMnZqUkNrPuZm8mzd18883yS9JqZUGzi9MjZnNHsoiXxydWw3F7ufTb2NWPLeBv%20JZFYCi6X9aIMAtUIRCRhGhCJGgKNEIidmpACgSuiXd3+Nt0cFJo/mS9E9SPcnlIIfNNuRb/8luMh%20fV+/9NKq5Ktr05Ycymsx8+kuRw/RYZuaw2ZUYmt2iTDdumt6oyslxxnypvwrFZqVsoXtd+R9LeOf%20CvCD6Ea0NXJZ98AgPSEJvglgzpw5GpusqQQjMZitE13Ar+ForiueiKvkEe0yNSFl/FHZzvZX/vYx%20q+n5OqZ0IIS9abeiX6irnn2krlWZZEASFV1WR03gzKQ9qSIdQHYsphv4v8+OrdklwnTrrsNTZ29k%20paQ5WSPzjmO1ulL2Li76+CHMJxeNQGcdxRKY2Yixqx9bwL81XcRScJU8WmkOAVvAMRdgdqKaLI5W%206ykgd86JmKCQ79pN2JdcconGP2rUKPOpI1+zBX5PuX79elP4vPPO06XOOOMMj4B+S3fiiSfqn84+%20+2xzVC1fekWIffGLX5S/ht0rJrZmlwjTrbvgmLCvuOIKOZdazlA/6aST/uVf/kXuiKJ/ClsvOXSL%20LRO4rK2Ry7q79NWHHnrIFDv99NO1vNzdRe8UGVvA30oi89RcLmtXkzKXXnppxASF+aJdcm97IHzy%20k580wd9zzz2Ba6Ff/Gtnk1/0ZCddRObT5Pf3vOc9+s573/te8/uDDz4Y4SMXcsitQmXHEnbD0Nia%20XSJMt+5mdEj+oHcM+8hHPiI3EJOYzTtJq01xU1SPTy4ajt01dvVjC/gbSiSWgstx1SiGQPkCpBPl%20m9NirQUiDlnWrFljQn/LW95ir8O73/1u87+PP/64f93uv/9+8+bhhx+uf/XUIO9r5ZMmTdJLBufP%20n28W2bp1a4Ra9GF3bM1aICLCdOuuB3MSvCRFsjrnnnvu2LFjo0/fMmtqH7ol6jG2Ruy6O26d2AAC%20De2lYgv4m0hknpordtXqUyAi29frpyVrtQM+4YQTzP/+/Oc/96+InjvnuQOvpxKtXI4vdWy+4Q1v%20MBVGp/rHHXdcBGBszVogIsJ06x5Ws0abolr7qxDHbmP7xGo4bi+Xpt1X3/3uzEnFUnC5rBplEKhE%20gHSiEnYara+Afcjy3e9+1w70+eefD4x72LBh2dcnrPLYmgMvDXcJW8u4NJ1u3eV7Yjl9wvNdr1xg%20INczRNz1JXaVIwp4NFxWLUtz7oYpIklnnsvq1LYSO9t/6qmnNM6dO3cGxux+LBixymGVuyjJdFyW%20ml2aTrfusTWnq9bFxC5j+8SGlLTyouU99ZcjliMCVSGQowDpRI6YVNVLBPSQxcxc6ytsEuCFF16I%20WPMjjjjCxUWL2Wd+6/mLEQ+9ij1giq3ZJcJ06y4rLqdPbNq0SZIKuajAPta/5ZZbXFiSlvFo5LLu%20LjHEGsYW8LeS2twl4IaWsbN9e3iOHDkycI2ir5MeOnSoi4MWsy+a0rEZ/bxIe8bP31ZszS4RFrTu%206ap18bTL2D65aDgGEAsbW8DfUDlijitIMQRKFiCdKBmc5hogYB+y2OHqvPwzzzxjv6/nUeiZFfZf%20TznlFPO/L774or7vqUHeDyyWC1ZszVrAjsoTYbp11/glqbj++uvltGy9NjqXVYutxH3do7dOQQ1F%20V5vRPDbmhhbQbN+OX1MvyV3t9/X8Qz0j0f6rnrzuyTo8lYQVyw4YW7MW8IRk/2++664rla7aLCbu%20GtHbyyWG1G1FVF6+mMuaUgaBcgRIJ8pxppWGCQQesuiNPuxv1uXMaXPFntyTJHCiQGfz77zzTlXw%20X74ZWEwe0iS3GY14rpYLa2zNWsCO6o477rArT7fucu21rII8IEw//ku++tB93aO3jqHQC7vld/tM%20G/lf9bHrkW0nL7ndpEsB/6ZMZ+7SJRpdJizbNzcFkkt07LsJ6/mKn/jEJwLXWm+NqpdAyC/+G8X6%20i8lmlae/yTl70RMgsdSxNZsC9v0YZIfgiTDdupul5FJvXXepWVZKbsZq3klXbewqRxRw1LBjDtxe%202oTeAsF/iYvj6kf4+FekfLEs2iyLQJ4CEffD0ma4ZxYCjRDIfqNYezX1dn7mWND8SW8e73nuhJQJ%20PEnJLKUXD5j7pdrPObJPn9BzgUwx89wJecndbAKfw2X+6j8Bw/9+bM0aobnrpTadcd31tomGy76B%20oz79zR+t/x33G8X6NdzXPWLraCV+H10RPfo3PUHvDGuOBe0bU4YV0HtZJupv6bhKHtG53ChWY/Y8%20HtF46sSX57kTgWNEq9LBKJtYNpPnWY06qPW2sKaYPnBGKtcOELj38OwW/LcWja3ZjtB+1o3Z7lnW%20XbuoPnfC3r+5kzo+M87FJ5GG4/byo5lIYlc/toB/xV06YQqukkcrzSFgCzjmAu0bMAfaOVaBOwJN%20Fwjs6vYhS8anYttHlqYt96diS+GwJ8u6pxNhz2PWmv0R+h9CnO6p2IFXituP3S06nUix7v6tE/Hk%207NinYuuTKMIisR9V4dFwMW9EOpF6FxGWSdrZfsanYnse/pjoqdjSVQJXLfCQ0U6nAx+OoTsis4vQ%20mv2Pp9ThmXHdA5/6LJXrUzhin/EctlLRxw9hPlJb2IOowzTCtlfEo8S1qtjVjy6Q8anYdh/gcCv1%20LoIFixZw7JykE0VvCOpvgEDYaPE8NsusiRzhyfv6db58nxcxL6ErL2X0mXSyuB6+e75Nl09xffqv%20fExGV+6eTkgYsTVrhNKuHODqAbQdYYp1N4voR7u4yf/aky1FpxOJ1t2EF7h15LjKbHRPGfvLaUkY%20ZJPpoZ787kkFYwv4NWLN+2Y64X/ipBlrsu30K3Z/ZwvcGUlV0uHNVpNlZRt5Jpp0KekD2pPlF09P%20titPlE7IgtE12xFKu7KOgRGmWHeTDNjDUyg8c6Gx1ab4uj0inUikEbG9ZC20J3iKebZU9OpH+ISt%20RbRYCq4GfIgSYu8VcEwn+omA/Y2I/bvcYNv8b0SZsGV5HwEEGi0gJ6DLEzBkFeTwQq6ibvS6EDwC%20vUxALkkyV/LIQXPsvd162bqzOgggUKaAYy7ApdhlbhTaQqB5Asccc0zzgiZiBPqAgMyokEv0ge3M%20KiLQAAHSiQZsJEJEoFABuUeNPuvX3EVK7oLyhS98wTR61llnFdo6lSOAQISA3GrJDM9p06aZYnLn%20JTM1oe8AiAACCFQrEHWy0+DBg1977TWJ79VXXx0yZEi1gdI6AggUJCB3uhw7dqw8rNpfP2c6FWRO%20tQg4CixcuFCeIu8vLFMTcg/TsGcdOlZOMQQQQCBCYPfu3QcddJAUGDRo0J49eyJKRs1O6CMen3vu%20ObgRQKC3Csj5EnJcIpeA2/dCkd/l8lCumuitG531aorArFmzZCTKtdd6ib/8IqOVXKIpW5A4EWiu%20gB7/hz30XVctanbitNNO++lPfypFf/KTn8jvzeUgcgQQQAABBBBAAAEEEHAXkAdBnn766VL+/e9/%20vz4UMnDxqNmJo48+2izD7IQ7PSURQAABBBBAAAEEEGi6gB7/a0YQtkZOJztt3bq16SLEjwACCCCA%20AAIIIIAAAo4Cevwfe7KT0+xE4HMxHUOhGAIIIIAAAggggAACCDRLQI//M81OnHzyyWa1d+7c2az1%20J1oEEEAAAQQQQAABBBBILaDH/5oRhFUVdSm2LHPYYYe9/PLL8sv69etPPPHE1AGxIAIIIIAAAggg%20gAACCDRC4LHHHjvppJMk1EMPPfSll16KjjnmMXbnnXeeWf7OO+9sxMoTJAIIIIAAAggggAACCGQR%200CN/zQUiaotJJ84991yz8F133ZUlJpZFAAEEEEAAAQQQQACBRgjokb/mAhFhx5zsJA/KHTFihFn+%200Ucffcc73tEIAoJEAAEEEEAAAQQQQACBFAK//OUv9XqJ7du362M0w6qKmZ2Q5T/60Y+ahb/yla+k%20CIhFEEAAAQQQQAABBBBAoCkCeswvWUBsLiErFTM7ISXkwdj6SOwHHnhg8uTJTbEgTgQQQAABBBBA%20AAEEEHAXWLFixZlnnmnKy8Ow5ZHYscvGzE7I8lLLxRdfbCqaP39+bI0UQAABBBBAAAEEEEAAgSYK%206NG+HP+75BKyjvGzE1Jow4YNxx9/vBG5/fbbzz///CbqEDMCCCCAAAIIIIAAAgiECfzgBz+44IIL%20zF+feOKJcePGuVjFz05ILVLXVVddZar7zGc+I9dnuFRNGQQQQAABBBBAAAEEEGiEgBzhy3G+CVWO%20/B1zCSnsNDsh5bZt2/ae97xny5Yt8vs73/nOVatWyVMtGkFDkAgggAACCCCAAAIIIBAhIM+tPv30%2009etWydlRo0a9bOf/ayjo8NRzGl2QuqSGr/97W+bSteuXXvRRRc5NkAxBBBAAAEEEEAAAQQQqLOA%20HNubXEJecszvnktIedd0QorK/Z00o/jhD38okxV1RiE2BBBAAAEEEEAAAQQQiBWQo3o5ttdcQu/p%20GrugKZAgnZDSF1544d/8zd+YJR955BG5JltmRhxbohgCCCCAAAIIIIAAAgjUR0CO5OV4Xo7qTUhy%20nC9H+0nDc712wq73kksuufXWW807ch3FbbfdxtOyk7pTHgEEEEAAAQQQQACBCgXk2ms5x0muYjAx%20yJ1hb7nllhTxJJudMA1ISzpHIRFMnDhR7iqVom0WQQABBBBAAAEEEEAAgfIF5OhdjuE1l5Bj+3S5%20hESeZnbCrPB3vvOdT3/607ryZ5999pe+9CWemV1+b6BFBBBAAAEEEEAAAQQcBeS511/5yleWL1+u%205eXq6BTnOOni6dMJqUKevC1TJJs3b9bqpk+fLkkF5z45bk6KIYAAAggggAACCCBQjoCc3SSJxJIl%20S7S50aNHy2ULSa+99kSbKZ2QuuR5FPIs7htuuMGud9KkSeedd96555574oknlqNDKwgggAACCCCA%20AAIIIOAXeOyxx+66664777xz5cqV9l/lWXVz5sxJdE/YQN6s6YSpdMOGDZJU6PXZ2tJJJ500dOhQ%20mbIYuf919NFHy7+DBw9mSyOAAAIIIIAAAggggEC+Anv27Nm6detzzz0n/8pLJiJ27ty5fv16Tyty%201bUkEu7PvY4Jsiu/109+8hOZlMgXhdoQQAABBBBAAAEEEEAgFwE5Vpcj9vwO/7trauVbndS2fft2%20OQfrE5/4xKGHHprLalMJAggggAACCCCAAAIIpBOQY3I5MpfjczlKz/3IXyrM52SnsHWTk7QeffRR%20nXMxMy+vvfZaOguWQgABBBBAAAEEEEAAgTCBQYMG6fUF5iqDk08+ueizh4pNJ9jYCCCAAAIIIIAA%20Aggg0IsF0jzGrhdzsGoIIIAAAggggAACCCDgLkA64W5FSQQQQAABBBBAAAEEEHidAOkEHQIBBBBA%20AAEEEEAAAQRSCpBOpIRjMQQQQAABBBBAAAEEECCdoA8ggAACCCCAAAIIIIBASgHSiZRwLIYAAggg%20gAACCCCAAAKkE/QBBBBAAAEEEEAAAQQQSClAOpESjsUQQAABBBBAAAEEEECAdII+gAACCCCAAAII%20IIAAAikFSCdSwrEYAggggAACCCCAAAIIkE7QBxBAAAEEEEAAAQQQQCClwP8PuMZPJeBMyEUAAAAA%20SUVORK5CYII=" height="546" width="1050" overflow="visible"> </image>
            </svg>
          </div>
        </div>
        <div class="fig"><span class="labelfig">FIGURA 7.&nbsp; </span><span class="textfig">Diferencias en cuanto al número de riegos por años de estudio.</span></div>
      </article>
      <article class="section"><a id="id0xbc8c380"><!-- named anchor --></a>
        <h4>Estudio de las normas netas totales y reducidas obtenidas con la programación del riego mediante el programa <i>CropWat</i> y la Resolución 17/2020 del INRH</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <p> En la <span class="tooltip"><a href="#t5">Tabla 5</a></span> se puede observar la norma neta total aprobadas por el INRH <span class="tooltip"><a href="#B10">GOC-2020-557-061-Cuba (2020)</a><span class="tooltip-content">GOC-2020-557-061-Cuba. (2020). Resolución 17:2020. Índices de consumo de agua. Gaceta Oficial No. 61. <i>Gaceta Oficial de Cuba</i>, <i>61</i>, 9-35, ISSN 1682-7511.</span></span> para el riego del cafeto en la provincia de Matanzas y las estimadas a través del programa <i>CropWat.</i> En la mayoría de los años las estimadas son inferiores a la actual con 
          excepción de los años 2023, 2040 y 2050 donde son mayores, lo que indica
          en el futuro para el escenario RCP 4.5 el cafeto necesitará normas 
          inferiores a la actual para satisfacer las necesidades hídricas.</p>
        <div class="table" id="t5"><span class="labelfig">TABLA 5.&nbsp; </span><span class="textfig">Comparación entre la norma neta total estimada y la aprobada en la Resolución 17/2020 del INRH</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">Sitio</th>
                    <th align="center">Año analizados</th>
                    <th align="center">SR</th>
                    <th align="center">Norma neta Total INRH 17/2020 (mm)</th>
                    <th align="center">Diferencia</th>
                    <th align="center">% de reducción</th>
                  </tr>
                </thead>
                <tbody>
                  <tr>
                    <td rowspan="31" align="center">Ceiba Mocha Matanzas</td>
                    <td align="center">2020</td>
                    <td align="center">384,9</td>
                    <td rowspan="31" align="center">798,08</td>
                    <td align="center">413,18</td>
                    <td align="center">51,8</td>
                  </tr>
                  <tr>
                    <td align="center">2021</td>
                    <td align="center">95,8</td>
                    <td align="center">702,28</td>
                    <td align="center">88,0</td>
                  </tr>
                  <tr>
                    <td align="center">2022</td>
                    <td align="center">320,8</td>
                    <td align="center">477,28</td>
                    <td align="center">59,8</td>
                  </tr>
                  <tr>
                    <td align="center">2023</td>
                    <td align="center"><b>813,6</b></td>
                    <td align="center"><b>-15,52</b></td>
                    <td align="center"></td>
                  </tr>
                  <tr>
                    <td align="center">2024</td>
                    <td align="center">417,3</td>
                    <td align="center">380,78</td>
                    <td align="center">47,7</td>
                  </tr>
                  <tr>
                    <td align="center">2025</td>
                    <td align="center">645,0</td>
                    <td align="center">153,08</td>
                    <td align="center">19,2</td>
                  </tr>
                  <tr>
                    <td align="center">2026</td>
                    <td align="center">318,6</td>
                    <td align="center">479,48</td>
                    <td align="center">60,1</td>
                  </tr>
                  <tr>
                    <td align="center">2027</td>
                    <td align="center">320,1</td>
                    <td align="center">477,98</td>
                    <td align="center">59,9</td>
                  </tr>
                  <tr>
                    <td align="center">2028</td>
                    <td align="center">621,9</td>
                    <td align="center">176,18</td>
                    <td align="center">22,1</td>
                  </tr>
                  <tr>
                    <td align="center">2029</td>
                    <td align="center">320,0</td>
                    <td align="center">478,08</td>
                    <td align="center">59,9</td>
                  </tr>
                  <tr>
                    <td align="center">2030</td>
                    <td align="center">485,9</td>
                    <td align="center">312,18</td>
                    <td align="center">39,1</td>
                  </tr>
                  <tr>
                    <td align="center">2031</td>
                    <td align="center">409,5</td>
                    <td align="center">388,58</td>
                    <td align="center">48,7</td>
                  </tr>
                  <tr>
                    <td align="center">2032</td>
                    <td align="center">484,9</td>
                    <td align="center">313,18</td>
                    <td align="center">39,2</td>
                  </tr>
                  <tr>
                    <td align="center">2033</td>
                    <td align="center">517,5</td>
                    <td align="center">280,58</td>
                    <td align="center">35,2</td>
                  </tr>
                  <tr>
                    <td align="center">2034</td>
                    <td align="center">414,7</td>
                    <td align="center">383,38</td>
                    <td align="center">48,0</td>
                  </tr>
                  <tr>
                    <td align="center">2035</td>
                    <td align="center">509,4</td>
                    <td align="center">288,68</td>
                    <td align="center">36,2</td>
                  </tr>
                  <tr>
                    <td align="center">2036</td>
                    <td align="center">377,6</td>
                    <td align="center">420,48</td>
                    <td align="center">52,7</td>
                  </tr>
                  <tr>
                    <td align="center">2037</td>
                    <td align="center">385,0</td>
                    <td align="center">413,08</td>
                    <td align="center">51,8</td>
                  </tr>
                  <tr>
                    <td align="center">2038</td>
                    <td align="center">545,9</td>
                    <td align="center">252,18</td>
                    <td align="center">31,6</td>
                  </tr>
                  <tr>
                    <td align="center">2039</td>
                    <td align="center">582,2</td>
                    <td align="center">215,88</td>
                    <td align="center">27,0</td>
                  </tr>
                  <tr>
                    <td align="center">2040</td>
                    <td align="center"><b>815,1</b></td>
                    <td align="center"><b>-17,02</b></td>
                    <td align="center"></td>
                  </tr>
                  <tr>
                    <td align="center">2041</td>
                    <td align="center">487,4</td>
                    <td align="center">310,68</td>
                    <td align="center">38,9</td>
                  </tr>
                  <tr>
                    <td align="center">2042</td>
                    <td align="center">513,8</td>
                    <td align="center">284,28</td>
                    <td align="center">35,6</td>
                  </tr>
                  <tr>
                    <td align="center">2043</td>
                    <td align="center">291,6</td>
                    <td align="center">506,48</td>
                    <td align="center">63,5</td>
                  </tr>
                  <tr>
                    <td align="center">2044</td>
                    <td align="center">417,4</td>
                    <td align="center">380,68</td>
                    <td align="center">47,7</td>
                  </tr>
                  <tr>
                    <td align="center">2045</td>
                    <td align="center">325,4</td>
                    <td align="center">472,68</td>
                    <td align="center">59,2</td>
                  </tr>
                  <tr>
                    <td align="center">2046</td>
                    <td align="center">430,2</td>
                    <td align="center">367,88</td>
                    <td align="center">46,1</td>
                  </tr>
                  <tr>
                    <td align="center">2047</td>
                    <td align="center">556,6</td>
                    <td align="center">241,48</td>
                    <td align="center">30,3</td>
                  </tr>
                  <tr>
                    <td align="center">2048</td>
                    <td align="center">714,3</td>
                    <td align="center">83,78</td>
                    <td align="center">10,5</td>
                  </tr>
                  <tr>
                    <td align="center">2049</td>
                    <td align="center">548,4</td>
                    <td align="center">249,68</td>
                    <td align="center">31,3</td>
                  </tr>
                  <tr>
                    <td align="center">2050</td>
                    <td align="center"><b>798,4</b></td>
                    <td align="center"><b>-0,32</b></td>
                    <td align="center">0,0</td>
                  </tr>
                </tbody>
              </table>
            </div>
          </div>
        </div>
        <div class="clear"></div>
        <p> En sentido general para los años estudiados la norma neta total 
          estimada a futuro es inferior en más de un 50% a la actual, por lo que 
          se puede considerar como no usuales si se tiene en cuenta que para la 
          mayoría de los escenarios, según <span class="tooltip"><a href="#B8">Cortés-Bello et al. (2013)</a><span class="tooltip-content">Cortés-Bello,
          C., Bernal-Patiño, J., Díaz-Almanza, E., &amp; Méndez-Monroy, J. 
          (2013). Uso del modelo AquaCrop para estimar rendimientos para el 
          cultivo de maíz en los departamentos de Córdoba, Meta, Tolima y Valle 
          del Cauca. <i>FAO, Bogotá, DC, Colombia</i>.</span></span> y <span class="tooltip"><a href="#B19">Planos et al. (2012)</a><span class="tooltip-content">Planos, G. E., Rivero, R., &amp; Guevara, V. V. (2012). <i>Impacto del cambio climático y medidas de adaptación en Cuba</i>. CITMA, Agencia de Medio Ambiente (AMA), La Habana, Cuba.</span></span>,
          tienden a existir una reducción importante de las precipitaciones y a 
          un incremento significativo de la temperatura media del aire, variables 
          climáticas que influyen directamente en el consumo de agua por los 
          cultivos y por tanto al incremento de las normas de riego. </p>
      </article>
    </article>
    <article class="section"><a id="id0xbca3600"><!-- named anchor --></a>
      <h3>CONCLUSIONES</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <p> La estimación de las normas netas totales de riego para el cafeto en el
        escenario RCP 4.5 según la variabilidad climática, en los próximos años
        para la región de “Ceiba Mocha”, Matanzas, indica que habrá una 
        disminución de las mismas como promedio en un 55% que equivalen a 3537,2
        m<sup>3</sup> ha<sup>-1</sup> con respecto a la actual. </p>
      <p> La 
        mayor diferencia entre las normas netas totales y las normas netas 
        reducidas para el escenario RCP 4.5, se tienen en el año 2021 la que 
        varía en un 87%, siendo menores para el año 2048 donde están en el orden
        del 10%.</p>
      <p> El criterio de reducir las normas netas para el cafeto 
        en las fases iniciales de la floración-fructificación y la fase 
        maduración cosecha permite ahorros de agua importantes con afectaciones a
        los rendimientos que no superan el 3%.</p>
    </article>
  </section>
</div>
<div class="box2" id="article-back">
  <section>
    <article><a id="ref"></a>
      <h3>REFERENCIAS BIBLIOGRÁFICAS</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
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    </article>
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