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<title>Determinación de los parámetros de diseño de un mezclador para la producción de alimento animal</title>
<meta content="paso del helicoide, productividad del mezclador, potencia requerida, Helicioid Diameter, Mixer Productivity, Required Power" name="keywords">
<meta content="Pedro A. Valdés-Hernández" name="author">
<meta content="Pedro P. Paneque-Rondón" name="author">
<meta content="Lilian de la Caridad Cordero-Hernández" name="author">
<meta content="Alexander Laffita-Leyva" name="author">
<meta content="Héctor R. de las Cuevas-Milán" name="author">
<meta content="Carmen M. Chuairey-Medina" name="author">
<meta content="Yanoy Morejón-Mesa" name="author">
<meta content="index, follow" name="robots">
<meta content="This article is under license Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0); URL=https://creativecommons.org/licenses/by-nc/4.0" name="copyright">
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</head>
<body>
<header>
  <div class="toctitle"> Ingeniería Agrícola Vol. 12, No. 4, octubre-diciembre, 2022, ISSN:&nbsp;2227-8761</div>
  <div class="toctitle2"><img src="data:image/png;base64,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" id="codigo" alt="Código QR" height="85" width="85"><script>
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                element: document.querySelector("#codigo"),
                value: "https://cu-id.com/2284/v12n4e09", // La URL o el texto
                size: 85,
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                foreground: "#4d547b", // Color del QR
                level: "H", // Puede ser L,M,Q y H (L es el de menor nivel, H el mayor)
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            </script></div>
  <div class="toctitle2"> CU-ID:&nbsp;<a target="_blank" href="https://cu-id.com/2284/v12n4e09">https://cu-id.com/2284/v12n4e09</a></div>
  <div class="toctitle2">SOFTWARE</div>
  <h1>Determinación de los parámetros de diseño de un mezclador para la producción de alimento animal</h1>
  <h2>Determination of the design parameters of a mixer for the production of animal feed</h2>
  <div>
    <p><sup><a href="https://orcid.org/0000-0002-8570-0895" rel="license"><span class="orcid">iD</span></a></sup>Pedro A. Valdés-Hernández<span class="tooltip"><a href="#c1">*</a><span class="tooltip-content">✉:<a href="mailto:pppvaldes1968@gmail.com">pppvaldes1968@gmail.com</a></span></span><a href="#aff1"></a></p>
    <p><sup><a href="https://orcid.org/0000-0003-1769-7927" rel="license"><span class="orcid">iD</span></a></sup>Pedro P. Paneque-Rondón<a href="#aff1"></a></p>
    <p><sup><a href="https://orcid.org/0000-0001-9444-9025" rel="license"><span class="orcid">iD</span></a></sup>Lilian de la Caridad Cordero-Hernández<a href="#aff1"></a></p>
    <p><sup><a href="https://orcid.org/0000-0001-5584-4786" rel="license"><span class="orcid">iD</span></a></sup>Alexander Laffita-Leyva<a href="#aff1"></a></p>
    <p><sup><a href="https://orcid.org/0000-0002-0467-9749" rel="license"><span class="orcid">iD</span></a></sup>Héctor R. de las Cuevas-Milán<a href="#aff1"></a></p>
    <p><sup><a href="https://orcid.org/0000-0003-4007-1789" rel="license"><span class="orcid">iD</span></a></sup>Carmen M. Chuairey-Medina<a href="#aff1"></a></p>
    <p><sup><a href="https://orcid.org/0000-0002-1125-3105" rel="license"><span class="orcid">iD</span></a></sup>Yanoy Morejón-Mesa<a href="#aff1"></a></p>
    <br>
    <p id="aff1"><span class="aff"><sup></sup>Universidad
      Agraria de La Habana, Facultad de Ciencias Técnicas, Centro de 
      Mecanización Agropecuaria, San José de las Lajas, Mayabeque, Cuba.</span></p>
  </div>
  <div>&nbsp;</div>
  <p id="c1"> <sup>*</sup>Autor para correspondencia: Pedro A. Valdés-Hernández, e-mail: <a href="mailto:pppvaldes1968@gmail.com">pppvaldes1968@gmail.com</a>.</p>
  <div class="titleabstract | box">RESUMEN</div>
  <div class="box1">
    <p>El
      diseño de las tecnologías de mezclado de productos en particular y de 
      las máquinas agrícolas en general requieren del cálculo de varios 
      parámetros que de forma manual se hace muy engorroso y en ocasiones es 
      difícil las interpretaciones de las diferentes variables a evaluar. El 
      objetivo del presente trabajo consistió en elaborar un <i>Software para 
      la determinación de los parámetros de diseño de un mezclador de paletas 
      tipo sin fin, en ambiente Mathcad 2000 profesional</i>, para la 
      producción de piensos como alimento animal, por lo que se presenta el 
      manual del usuario. El programa desarrollado permite el cálculo teórico y
      evaluación gráfica del paso del helicoide, la productividad del 
      mezclador; diámetro de la helicioide; máximo valor permisible de 
      revoluciones del helicoide del mezclador; potencia requerida por el 
      mezclador y el momento necesario para vencer la resistencia (Mo), 
      durante el empuje del material a mezclar, en función del coeficiente X.</p>
    <div class="titlekwd"><i>Palabras clave:</i>&nbsp; </div>
    <div class="kwd">paso del helicoide, productividad del mezclador, potencia requerida</div>
  </div>
  <div class="titleabstract | box">ABSTRACT</div>
  <div class="box1">
    <p>The
      design of product mixing technologies in particular and of agricultural
      machines in general require the calculation of several parameters that 
      manually become very cumbersome and sometimes the interpretations of the
      different variables to be evaluated are difficult. The objective of 
      this work was to develop a Software for the determination of the design 
      parameters of an endless type paddle mixer, in a professional Mathcad 
      2000 environment, for the production of feed as animal food, for which 
      the manual of the mixer is presented. Username. The developed program 
      allows the theoretical calculation and graphical evaluation of the pitch
      of the helicoid, the productivity of the mixer; helix diameter; maximum
      permissible value of mixer helicoid revolutions; power required by the 
      mixer and the moment needed to overcome the resistance (Mo), during the 
      pushing of the material to be mixed, as a function of the X coefficient.</p>
    <div class="titlekwd"><i>Keywords</i>:&nbsp; </div>
    <div class="kwd">Helicioid Diameter, Mixer Productivity, Required Power</div>
  </div>
  <div class="box2">
    <p class="history">Received: 10/11/2021; Accepted: 09/9/2022</p>
    <p><i>Pedro Antonio Valdés-Hernández,</i> Profesor Titular, Universidad Agraria de La Habana, Facultad de 
      Ciencias Técnicas, Autopista Nacional km 23 ½, Carretera de Tapaste, San
      José de las Lajas, Mayabeque, Cuba.</p>
    <p><i>Pedro Paneque-Rondón</i>, 
      Inv. Titular, Universidad Agraria de La Habana (UNAH), Facultad de 
      Ciencias Técnicas, Centro de Mecanización Agropecuaria (CEMA), Carretera
      de Tapaste y Autopista Nacional km 23 ½. San José de las Lajas, 
      Mayabeque, Cuba, e-mail: <a href="mailto:paneque@unah.edu.cu">paneque@unah.edu.cu</a>.</p>
    <p><i>Lilian de la Caridad Cordero-Hernández</i>,
      Estudiante de Maestría, Universidad Agraria de La Habana (UNAH), 
      Facultad de Ciencias Técnicas, Carretera de Tapaste y Autopista Nacional
      km 23 ½. San José de las Lajas, Mayabeque, Cuba, e-mail: <a href="mailto:jaem1964@infomed.sld.cu">jaem1964@infomed.sld.cu</a>.</p>
    <p><i>Alexander Laffita-Leyva</i>,
      Profesor, Universidad Agraria de La Habana, Facultad de Ciencias 
      Técnicas, Autopista Nacional km 23 ½, Carretera de Tapaste, San José de 
      las Lajas, Mayabeque, Cuba, e-mail: <a href="mailto:pvaldes@unah.edu.cu">pvaldes@unah.edu.cu</a>.</p>
    <p><i>Héctor R. de las Cuevas-Milán,</i> Inv. Auxiliar, Universidad Agraria de La Habana (UNAH), Facultad de 
      Ciencias Técnicas, Centro de Mecanización Agropecuaria (CEMA), Carretera
      de Tapaste y Autopista Nacional km 23 ½. San José de las Lajas, 
      Mayabeque, Cuba, e-mail: <a href="mailto:cuevasm@nauta.cu">cuevasm@nauta.cu</a>.</p>
    <p><i>María del Carmen Chuairey-Medina</i>,
      Profesora, Universidad Agraria de La Habana, Facultad de Ciencias 
      Técnicas, Autopista Nacional km 23 ½, Carretera de Tapaste, San José de 
      las Lajas, Mayabeque, Cuba, e-mail: <a href="mailto:carmencha@unah.edu.cu">carmencha@unah.edu.cu</a>.</p>
    <p><i>Yanoy Morejón-Mesa</i>,
      Profesor Titular, Universidad Agraria de La Habana Fructuoso Rodríguez 
      Pérez, Facultad de Ciencias Técnicas, San José de las Lajas, Mayabeque, 
      Cuba, e-mail: <a href="mailto:ymm@unah.edu.cu">ymm@unah.edu.cu</a>.</p>
    <p>Los autores de este trabajo declaran no presentar conflicto de intereses.</p>
    <p><b>CONTRIBUCIONES DE AUTOR: <i>Conceptualización:</i> </b> P. Valdés, P. Paneque<b> <i>. Curación de datos:</i> </b> P. Valdés, P. Paneque A. Laffita<b> <i>. Análisis formal:</i> </b> P. Valdés, P. Paneque A. Laffita, H. de las Cuevas<b>. <i>Investigación:</i> </b> P. Valdés, P. Paneque A. Laffita, H. de las Cuevas, M. del<i>:</i> Chuairey, Y. Morejón. <b>Metodología:</b> P. Valdés, P. Paneque. <b>Administración de proyectos:</b> P. Valdés. <b>Software:</b> P. Valdés. <b>Supervisión:</b> P. Valdés, P. Paneque A. Laffita. <b>Validación:</b> P. Valdés, P. Paneque. <b>Visualización:</b> P. Valdés, P. Paneque A. Laffita. <b>Redacción-borrador original:</b> Y. Morejón, P. Valdés, P. Paneque A. Laffita. <b>Redacción-revisión y edición:</b> P. Valdés, P. Paneque, M. del<i>:</i> Chuairey, Y. Morejón.</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 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="#id0x341f980"><span class="menulevel1">MANUAL DEL USUARIO</span></a></li>
        <li><a href="#id0x341fc80"><span class="menulevel1">INTRODUCCIÓN</span></a></li>
        <li><a href="#id0x3425a00"><span class="menulevel1">OBTENCIÓN DE LOS PARÁMETROS DE ENTRADA Y SALIDA DEL SOFTWARE</span></a></li>
        <li><a href="#id0x342b600"><span class="menulevel2">Requisitos para la instalación y corrida del programa</span></a></li>
        <li><a href="#id0x185a800"><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="id0x341f980"><!-- named anchor --></a>
      <h3>MANUAL DEL USUARIO</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a></article>
    <article class="section"><a id="id0x341fc80"><!-- named anchor --></a>
      <h3>INTRODUCCIÓN</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <p>El
        programa desarrollado permite el cálculo teórico y evaluación gráfica 
        de forma automatizada de los principales parámetros de diseño y de 
        explotación de las máquinas mezcladoras de paleta de tipo sinfín, para 
        la mezcla de alimentos secos, durante la producción de piensos a emplear
        como alimento para el ganado según <span class="tooltip"><a href="#B3">Ayala (2019)</a><span class="tooltip-content">Ayala, T. J. L. (2019). <i>Diseño de una transportadora de harina para el traslado de molido en la Empresa Agroindustrial Vásquez SAC</i> [Informe técnico]. Universidad Nacional del Centro del Perú.</span></span>; <span class="tooltip"><a href="#B6">García (2016)</a><span class="tooltip-content">García, C. A. A. (2016). <i>Diseño
        de una máquina mezcladora de alimentos con diferentes frecuencias. 
        Destinada al gremio de pequeños productores de animales en el recinto 
        San Luis, del cantón Mocache 2015</i> [Quevedo: UTEQ]. Gremio de pequeños productores de animales en el recinto San Luis, del cantón Mocache, Quevedo, Ecuador.</span></span>; <span class="tooltip"><a href="#B8">Martínez &amp; Preciado (2019)</a><span class="tooltip-content">Martínez, O. P. H., &amp; Preciado, G. F. L. (2011). <i>Diseño y Construcción de una Máquina Transportadora y Clasificadora de Humus de Lombriz de Capacidad de 1500 kg/h.</i> (Quito/EPN/2011) [Informe técnico]. EPN.</span></span>; <span class="tooltip"><a href="#B10">Paneque (1988)</a><span class="tooltip-content">Paneque, R. P. (1988). <i>Transportadores en la Agricultura</i> (primera edición). Departamento de Ediciones del ISCAH, ENPES, La Habana, Cuba.</span></span>; <span class="tooltip"><a href="#B12">Pérez (2019)</a><span class="tooltip-content">Pérez, P. L. E. (2019). <i>Propuesta de diseño de máquina mezcladora de pienso para el municipio San Luis, Santiago de Cuba</i>. Universidad de Holguín, Facultad de Ingeniería, Departamento de Ingeniería, Holguín, Cuba.</span></span>. En en la <span class="tooltip"><a href="#f1">Figura 1a</a></span> se muestra una máquina mezcladora; y en la <span class="tooltip"><a href="#f1">Figura 1b</a></span>,
        algunos tipos de órganos de trabajo, para alimentos secos molinado. Se 
        utilizó como base para la modelación y cálculo de dichos parámetros, la 
        metodología expuesta por <span class="tooltip"><a href="#B10">Paneque (1988)</a><span class="tooltip-content">Paneque, R. P. (1988). <i>Transportadores en la Agricultura</i> (primera edición). Departamento de Ediciones del ISCAH, ENPES, La Habana, Cuba.</span></span>,
        realizando la interrelación entre los diferentes parámetros 
        constructivos y de explotación que intervienen en el proceso tecnológico
        de dichas máquinas, con las propiedades físico-mecánicas del material 
        procesado a mezclar, las cuales constituyen los parámetros de entrada 
        fundamentales del software. Como principales parámetros de salida se 
        obtienen: el paso del helicoide, la productividad del mezclador, área de
        la sección transversal de la vena de material que se mueve a lo largo 
        de la artesa del mezclador; diámetro de la helicioide; máximo valor 
        permisible de revoluciones de la helicoide del mezclador; potencia 
        requerida por el mezclador y el momento necesario para vencer la 
        resistencia (Mo), durante el empuje del material a mezclar, en función 
        del coeficiente X y la masa específica del material a mezclar (<span class="tooltip"><a href="#B5">Crespo et al., 2019</a><span class="tooltip-content">Crespo,
        A. R. M., Valdés, H. P. A., Paneque, R. P., Miranda, C. A., &amp; 
        Gómez, A. M. V. (2019). Costo energético y de explotación para la 
        producción de forraje fresco, triturado y molinado. <i>Ingeniería Agrícola</i>, <i>9</i>(4), 56-62, ISSN: 2306-1545, e-ISSN: 2227-8761.</span></span>; <span class="tooltip"><a href="#B6">García, 2016</a><span class="tooltip-content">García, C. A. A. (2016). <i>Diseño
        de una máquina mezcladora de alimentos con diferentes frecuencias. 
        Destinada al gremio de pequeños productores de animales en el recinto 
        San Luis, del cantón Mocache 2015</i> [Quevedo: UTEQ]. Gremio de pequeños productores de animales en el recinto San Luis, del cantón Mocache, Quevedo, Ecuador.</span></span>; <span class="tooltip"><a href="#B7">Giordano et al., 2010</a><span class="tooltip-content">Giordano, I. A., Gallardo, M., Bragachini, M., Peiretti, J., Cattani, P., &amp; Casini, C. (2010). <i>Mecanización de la alimentación uso del mixer para formular dietas balanceadas (TMR) en base a forrajes conservados</i>.</span></span>).</p>
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lQ5jEG3O%20RZqVfs0/MtcIan5v1B8VxQi0MSkyWuRezZsSNv/GC6+ir8//5AkIHQ+omZVPvGv5+s2tMbhUmt25%20uRePQKuh2AAPjalOp78XGSKve37gh46TuE4A/k2bkMQaqKKlOLBZeVhmZonGFcTz8oygXpJqJbMK%205L7MMImG4TDDhXRouAEop9Iy1FwVgFgS0oQTTMGvpTgy2eSIQUtt7BEH9hhjgo1CAzI+otdq+l5r%20pSU4krRk1IcE73Jiq8ZMafRREI0PmaAv0RtSr0OtA96H7Gp93NtAEAoOh/SBYpLhm9yhH/W6PUI4%20w0jzDJ2plOhQQ3Gf+fy1hj8y5oG049vcHvb6//jlr3a7g8EI7Jha6Lhes1ZrBt7165eherqBCyo/%20M7uwcmtjZ6uPhfM//g8f+omfeBfXFOP7RS8oZNeCjLaPeZ956B7SCzkRPVjpQughVn01FHoTqIMw%20Qi+UilERXULLac1qa5Ay/djcUpBEtnTMbFaQRQe/qApQAuG4PuQWdnOSDvA+QMkNfCwUMAjsr4qC%20Hk2a8h/J2IAfY9OWpOVRT3Z2dm7fvr25uXnnzp2FhYXFxUU8nzhxAl8A5/2x8PthYJUpgB6Rety9%20e3c4HKZpOjs7C6DHp1BW3lZeBAh92qeWo4k7UzSGaTiWE3MgJD30x30Zjs0G6meUtI4EgTYWqKVt%208ULbYfWmJzJNSIoPLa6WGZnVBa1+wKypuKFFij2oDyGIJhiYa22E01T9wM1+n6daOQNKfA1Ygls4%20Dnd8X5iWIAYqpW0ozbWy7vccKVBRy74S2rqrGgiVBFTSGsdlFA/GqSgqM4FGm4P0+C42dBBgf9MV%20LBtob0mBdxuuDKqIELUw0ri7nnSdYhSYrtcQY2hsWfH4Ew8dP3Fk0B+srK+lJTQge31rGFcg7xAb%20Yru/PT3V5vVpWSarG1Ez3Dq2WLNEFTQ7H3jfY//3P16Zn26v3N0b9RLH8dIkn5kLiwKUAPozFAUX%20qgM6S4aaAgo5YbBtCQbCzQBMACdMlVnIiivTGvPIfkJWIsGLcSEVEhImWLayfQhIOIfZEDzg7KJy%20ICVlauCiDn0M6MA/yHFMFpnYCGNKJaTJLgBFTUlWue/RI8mgyJ58A3MnJDfpVsTmaImVRPOpiaLI%20IForugkHESaryP607+uU+3T+wNOndYN9v6HWJNGOCotN63q2ZcdJPB5HWKCdqanKmEgScx/K71l4%20zIl9nDgm2m+BHcgkSTlz1te3N7e7Fy9cG8fJ0WNHLcv1uPWuh0+//PKVx596ZGnpWK83OH78zAvf%20vnDt2q08Nn7y2RGRe6w6pb3KfQev8nPKiV9Xvcn27TDaRsSoG8w0X6tJM3FgmCYfBHHDifqv+Jcg%20b5HyrUgluEDR8I+UKYXI4PUkMWymhDLu4EjBiL2QjauqJCBVcFrjATH6Smj7PngLVhBXDoZS3RuE%20SfyoPm5tr8CMr6ys/MVf/AVAELR9MBi0Wi28hnb1i7/4i+9///vx59vQWv0fEWEg+AsvvHDp0iWo%20hgD3brfbbrfn5+ePHDnygQ98AM9vKxcCeGsijBziU1pMbRza1lJOAFrZCA0uLW1hMZhmHlLtCpAs%20qVYsmQDI/kIgr+w5tBzFxJpJW2rf0KqVTKHth+qJVGEAAVM2OMIbgXtpBDcPNsi+LDQPeIEF6FHN%20lWRUBuksyQNAthpBskLRS5NWrMRVlUZIpiBmClB0vMMhySzVEYUanJywTo4rZQamL8kqj/szszPb%20/X4Ux8rNBww1zDJv2qJjFTztgsH3e8NBb88WJdSe2JJxBhKftNpBYaZrW6u97mBvEG3uJKNx0osA%20xwZZ7wWHWtGPcz8ETLurGwOrSJvWzNJCJx10ZzpzJ49N7+4kNWbGccEVEt65s2NaOdh2s9U2hLuz%20uTOKIoNHhhGSzCSpaTLF6BgxeQNKUGk5BL+E8oKcD0xawhxFBQisQzDCHPzMkGWWC49DCGJzhX6A%20C+VZhitwaGCcPCwGOZIFdDJOtn00nEx2ynJnKt8j3iVwnxjjFHLJffvxa8Ads3L51noeD5ViC+0P%20MqKE2uTavB2GrXbTcTEfFhmUDaX8knGQ5oi4u1SQNNETtHqgp9DSJgZaQ0WhLJ4+ZDXeWJif/8hH%20P7qxtra5vT23MF8p8zf5BASZ0Q+iaEB1yZJOoQFcKu0Pgt/zQyg+jg+dJgiD0vGCvDAbjVnO3Qqa%20gQHZWkOTFxaXPX+wdOhYuzPju+siA3e20UAAGm1vWZn3hZ0cLGWlgtzTGCb8yVC0SHMn7Vfal1zq%20A21vl4rd0HKvaOjRVlqupO4YFf0aXJsYPN6TSsLSBRzbxgqhO2LhG9Dmchp+RjYZx4EKa4sKfMuu%20yGONXcIcjB52o81pGUna3GBgWv79yAEb3/ve9z7zmc88++yzx44dg9J+9epVICC4yr/8y7/8zu/8%20zm/91m998pOffHt6I99UHXnppZe+8IUvPPXUU+jO+vp6v9/vdDpYRV/96lc//elP/+qv/uonPvGJ%20A33l7eAGxo5KocaXuSQvkcGZCloh2wctVIW4ABeABtPGQFp/ZK0lnCIcJ/RUPzHVBmdMMyryjIEE%20mIwQiBuAKiAkK6Gcl4Qclr62UJ4sSR8qEABOV9U9Q5+OX3AcB1/fj1Sjxa8c77y0tLNWa59FnhUk%20XThpu9zkRV7lZa5h3QCrxEpVlgHljqL9VqAvIMVFSf3kvm3b47TMCpnjY/wyz3vDEcktTtqBTWpN%20gX91M2NFMupl2WDEc6I9SUbEtrLN5z5w7vSpI5vrK8O4HzZqd9a21rcHBtpi+jb3TStgEAwG0IJl%2040wWwylfYLTX13bn2rWpmamd0eDMmdnuziWjDG3mFlmm9pfI0hxUsshog+5uD2V3CKpumwVnnuPp%20kQdGlQ6NNgg4esUhd0m5x6aG7MGcGhAiJZQSjDY3GPRxjwuHlT7XFm/heHYGtUIICigKfIsTFZ4Y%20e8k/oa3AlbaYCaERipEjvFLiH3qFDv2w3iwUMkmzz/7dl3e21iwi17ltYlAL33fqLnv45JFnnnnP%20VGfK4FWcZcAai5OTjVDKUuYIqVjqxC5BbaLmCBkn4/3oC497PpYkqPrG+jrIFGbz5KmTy0tLWzvb%20nuNCzuclBB7XDjHyipYQe9LzPKBPlme0HChqKve9oMiLUZTU622IarILmRYWJDNsx/VHGKG0isai%20P8yLQmRZge9gxA3CwMr1oEHasko1pGt6ou2z+/GZtD0owoxJzeE1haInJc8sU8UMMPNA89UBPERS%206HdCO64k8Q9Q75JUJdMsVOZoksQx9E8MKy1trty25HnB0ilI8TLKvBqPIIEA7TSGtkMG4nhkuI5J%20cQRaEcPCgdbjOJWK3S7zkoZf/ujgjufd3d1Go/HzP//zaPNoNMKALC0tzc7OPv3001tbW3/5l3/5%20kY985MSJExloxdve5o4egbOfPHny4x//OF7v7OxAXM3Nzbmue+bMmeeeew7P6Kl2ur4d2nxoYe7x%20sydqjVqOVZ6lxOaI7YEMQYvLyUJe5BL4b5EvVdEeQlLT5uR1xeSTRkwhGhSTR7TEkvsMi3i+YuMW%20SHal3KCAXW4AqA3yT5EmCdQGxHJTgsMRUcMS9iVuDPKtFcsDsg/U17EThlJYoXAATyrbgbLACbxM%208u2SM8AkGUIqhOG42HIkh2iLEtvDzinJqADek2NrkCGZoJkiOQ1myyiGBIOSQoiN3R/vRpw3pMcd%2013XancqyJfdBoGOAbFb0+3FVik4YFmUWuizw2VPve+rsY6dWVzdWN4a4EOjv7l4Rl7RnK8PBlYus%20qJMP006TBHoyxrZVD4QTrO+MFnaKWssEOHMrXlyqvfq1VYeRMR5A9/jDj58/f2F3ezSK4rkZ3NDJ%20KhujnVMfqkJMYvlU9EeihhyIBVloExW2iIGp2EVwdhnYRGzJuCQzX7LQ5E1ew5SXIqPoFQCqKBzC%20KC5ZpVkmWeCYMr4qg4lJpjUIDANinQQq+WVlpbCLLMHC2LeAvD5aRu4Ns+6wnJ5uhr4deHZVJkIC%20U+IkSYbDIbZHzaxjwoGtQGz0IElTptxW2pNvvvZqAHQsn0xp+lDwd7d2z79y/vDhw61m82vf+Aaa%2088v/8y8HjbBZtPr9QZQkAYS3FC6Wi3LxEZ2YRC1L3/fB+3d2tu/eXXn40cdG4+H5Vy6+5z0/gV/Y%20NrisQxFISiWnVcQsxyZ7oGO7juNhSNAMP8ACMYMQBMApJUV6aXX2XgD6AY/TpkswbM3m901Q5BY3%20yZqopJhypTISavvRMkoTJV6u5plMlDnUbBBEYCIITBwnO1sYh0qrTzTFUofrqSAIzJbyFnmBNY4L%20SG+n4eamAWytqtZUK4SkxXgGvocdlZODwVDhIKTyGm+NuQM8AOjb29sUDqseeA2qi/dbrdbHPvax%20b37zmzdu3ABc/rjEzARBgC5gzaRpCuaOjszMzGCO8Kyn+4Eju7JTTxbrD+ucaDW8s8dnZ+YXwIGA%20VlVWkEHDtEoI7iyP0xQ7aJSlcQXEkznwnyKdK7AcAL+izdIFkNgumKZtBdp2p+m2VG5NoRd5oVY4%20xISTYEXj0vgHQmUaPkXsVUQ+aPNQLCazDY/gqiLlhkg/twRAmYIVxH4Qhayw17gjgX/SzISVlKRN%20+K5jQekHiYTWSjIJVJNwHteQJDtoBzmOWVYUHo5hclS8ACsLKC5gKeC13PXsGoNyKp06Dzu1sGX7%20DXSudMB8cttuusGhcbcXOGw6zFyRZtF2zRdzs4Efos387//hhe9898IY4oLYGUif8L1Woz6zOxgB%20FGwT2AUyLoPAS6wR9mUEVt+Y9t361Ztd5vizy77rRYtLfHvR3V2Phv184dCsH7QZc4C2fmgcP912%20PSMveVVBFEt0BLs7TQuKYSstZS6RNE9lqkbctJgOuYPuYc/VgpmAVRCrJTqc2BVUG7calzaFh5rk%200wbNl6Vlu2CyFG3EyQ1LTBtTL1V8kbLb0YzmZGDS1jXAFVdCWZBhwOT7qan8dRvdMOyyMh0HaoEf%20+GTgz7KoiCIAEzSU8XgMOVYLQ7ByBV6lttNrU929lCK1ebD0bt68+cJ3vnPx4qUnn3riQx/4YG+7%20Bw1sYX7h8cffvbWz841vfoNsu6w1NTPt+l632w8CQFjVj/utZmtiLDRNXCcIg36/hxvU6vWVtbXv%20vvzK9vbezNT8Bz76cZvyCHJOLMbA3EvypVvKTGFeuXYll9mRY8eOSwk2j5/7PjQoUykEpGcosL5n%20Vbw/8EuFqt8LxdSfE5+Spg4ZUD805cQoes92rxwDUofKQKCCAUmlQZHA0S5aujI+m7irSRm18SFL%204twmc7pjGhF0HsumLZvmmeMGpmVjG0N1jUYjTrY6DqGLjpAA0Vq5IBr1VtguhlGn+eABQNTd0WVP%20gPWrq6sP0JuqR0l7UPYtb+xBuTc1yB46dOjFF1/ELbB4pqam0BF9l/Pnz6ObTzzxhLbLPygXrg4m%200QJep8L+UMPV3dm4cuF73d1DLigJxcAYmI2AyIhbr3mdNpDFTKWRUhhnRdweWFIWelsXYBAp3gLi%2056CR6JOKwiKnJVkIucltj2ntUpJNB4NeyBKcTHE9bC7RK2KQbhts1rJ8FRxpMjvNYkE5SoATUiEh%20BwwyCECnlEoRoDh6Rn5QrJ4CMK8ESQHscXxum2ZAqM+ZcNDggnwBlnISGHr5Z9DQVZgXtO0yS7hr%20CM5Kkh5WZ6a5N8RS5nNL89JuCF4zbbBbz6R2ZTZPbYFGeg2v2bTZaGttrjW1tRpV0NWzGFLwWy9/%20tZsIbKFDM60n3v1oo1Hf3e1NzczvdoevXr4xzAS3fV6Fw15vNB4bXgWePuiPV1a2prjTvbvlOfLw%20qYcweTXP7rTqo72Y2Cxje90uZKRJzlTp+GD30EjANS0yN5AI9FTYM1mpIQ0xpGmaU2soYN3M0Bvq%20Oc+KzDRsSY5kiE8OEscNGYPzbfdqDdfyaCjjMaZS1lvgcE2TMhkKw8gNASqnYx4pENYkcKPQDJK9%20hQofVP5M5chgSZ4J+WZmGXynHoRluwNhKso8jRJoFWRnJdNxzlTWUhanmHDi0SWtH8f1sEZAIsgn%20z14TRehy59D8ov3e9zqOPdXu4M16ozE/N+97brfX6/d6uE6326016rYUrWbb8/zVtVVwrnarHScY%20VheIA0xP4rTaot3SbrdHw8HW1vaFi1exsKen5oa9bpzQ2ib9tYIAtGzHGtFyoqQb3GX0yquLS0tk%20HKkKlcJpAjfxWkIwKlOLNiJrb+p9D/1OMQk8mCROAThU9LAOh59k11r7CaUTY72Y7HDckdyh43ho%20VhnYVRYng+FIRZ3QZ/omOisFP0uTvMwl2i8oQ4wyF0zHrLA5bL4wPw+VrRR5GNRAc/wQlJ6iyzA4%20eZJHY6zsOB/vTg+jHxlqMbZHjx79t3/7N+hnOgLyySefxBR7ngcc2d3dPXLkiOa8DyTJ6CBYBRfH%20dINWkxLrOA/EAs6YtiOb169fp/XNOdm14hi4iBd///d/D13k4YcfNh50URdtzsI1cX2M5w91ccyy%20a5tFNkqTSqUxMW0ABNZThgFTziyLlH1GUYC2Z9s16J9AURXvLBuOqEJBwTMsN6xJgolBzlUo+WlG%20GY+U+VIQlgrJK6sTjfPUi5kKbYYaWGYUgYeFGaUgJIVJqBubDKBFLlbwTOwu8gqR1d6gmADytJEJ%20wbJTyXhRWcBlitOAIlCBdqjcJBUQ4zlmSNsBF7EqSZEfwrQdT3EGCiuxiwwAJ1JKNXKFZd9Z740S%20UfJgOjRczzPAlynAG/sClBVw6AY2L6Lh1sadzXjoyQr4a7MUm3B7JyF7p7DDRvPw3PT7n3vi2Wff%203Zmq5wQPYhhlj995aDg2b9/evHHlNnZvPsijUQbBBwLW7w09Hzo9FLuGbVh5ysySjUdpkRlHjs5t%20be2trm1yjvGT9XoIYm+xEl3IwNUp8oV2s9KR1D8yVzDfN+sN/KAUwOvEzHIzq+TWZn8QRaXKPCBP%20LpQsj8L+TcjIonAlT6IyHWMiGC6cxBXZ8Wn4Pc5cAnXy1ZLtShIkE7yU5EotVXy6qbUz9WxpUfoG%205m7IZi0IrOla4GGCjSr3PEuIbFD4WHDYimHYAGEcDQavnj9fqzeWjx4FbPpuSDs2TSig+17MBi5Q%205kWGtf7hD334W9/61r/+y7/U/PqlixfX11fOnj2HxgE+lFWaALaihcKXlpaiKNre3oHSBNE0TtLr%20124KQ5w9exZXvnt3pd/vj8eJyrPwrl278fVv/Bs0in5/UBY5NMpKBYZXEiQ3Ja8sp06C7Q4GfZ11%20nqkwQ8LXsrRVTpc2uSjontREmFjPaL5KBe7yIMdfM/eJr1WnT5u2cV/ckJDiXjpYpUKeKHUtycYQ%20QQXoklDhjzr7QDDNZCRZWpmxfPgk5PGgPzx+7MROb2sMDZRcWM5wOIqT0dLiDJHNwpxfWHB9B1KD%202gc2wSyoOw5rAIjfCpWenZ2t1+t3797FFABnge+aBQMQbt26derUqYWFhQdix8C90FRcCjJje3t7%20eXkZ97rnyn5Ace6dTgeADrRFp3RwpKbqa2truHsYhg/qdge1d7RN5kAj+aEUEdBXLA5yxVHQiAXt%20jRgApWZglWRaCbQqkvoyNXKGnWnuO3iIBqpoDVKeJXfJS6PCQCEYKD3CkaVHwRfcDlwK1II88NOq%20MU7Ia6oTR7BLBRF+o6TsRygCpfJ+JUk+Bl6SGgcO5yiNhNxgFVk0FZgxA+QDqEtEm1lOVVC8DVR/%20wEChAisByVxiaZeEOJVTmtQJSaEB9GvHrRNUUXww3rHGWRnn1TAFnjcOHTphOGFa4qYmYMwwyeVA%209hxutmfrRdkfDHqBVZQGKFFUa9fqXhhji5X90mwcOXb26PKCtOpf++aFRx46Wa/7333he8dPnDlz%20+lw0hlyI1n1rMMIIcpcHIk+nGv6p5Tkj2ppdaBw7OlUmsQXOnFs2RaOX3d5oeqq9ur7hupZtm81G%20zQ8Ad4XnQbiCOxc6BmniraOVoCwayu5SFpSnyl0gu5NXbLsXF0OMDS+JJlpAcdMzajW/WXc5ukrZ%20T1DCIP7s7e3exvZAsTzTcS3yMpOPjS7FOXQsrsNWBNQngytDu6FMvAr5abSZfCO4m3TnVKQDYcQY%20RyyvQVRE44SzKuJAzByC5ObNWy+++PLa+ur73v++5aPLRZEFwmE2h2TBQqMEwAIaV2lhEsm4IKE4%20YE31B/12o7G02LHe83B/GC0fXTh++tiXv/pVybS2yCoVGhg4dqPVit36OC56e+Xdre0Y8qXmnb+5%202fT9bCwcXp/uTG1sbSZZCl6egnEwe7c3dPyw2TFH0dgm24JcW7uDxa/sUOLSq5dEQQx6nESAWshb%20qKWWQhMVBahCbZkyJgqVJbJP8ytRqKAEqm0gSdGmFKSSMvKw/ity3kNDEtCbzFL5qdUYK+WIfAUY%20FCMep7eu3Fzf3EJLpjqzEovTDpJiVFQkaYWKZ3YdN6gDa+LZQ4dEZYyydPnk0fxWkfW7puvnWUmi%20qyx6vQhkYUDVa0vyZ3PPcZt5OlT5EZh1MtH/aNgEyEOLQcwhQT/72c9+8pOfBDJ+/etf1xHukKb4%20AtDwh2Wj3x/fMci1Wk3nweL1D16D9we5ODqFLpw8eVIHxkA52NvbGw6H4Bk6lWk8Hj8oK5C2QOoE%20H9z0oHc/VI8osqqYhDkoz1nJJIXPmaowhqEykSgCEktwkihN6t5BahkoTamc+IUxSqjIB1lmVZUY%20rkJoVPUBxmKms22skoE5kZ+KqcBmK7Rc1ycXmuVZlB5E6gH0QFCRnPhZjkUoNFqVMgWJixOyC2V5%20UQylTEtZQTdQSALKWY6MwgFecOaozFRuli42DZFLu2K8YpQI3W615g8tYrVvrG4YNvQRL+1GW4Nu%20VspGayk3edCcE6aXxpBirlCR22ROkhRDZFSkPAS+m49Hg2hnrhFClWhOzzM+2OrFuQy7Y1tulFEu%20i8zMijT05c2bxvrWbc9bicYDskt7bG+0i375tofuTDUbzzz1iFl0fBb5PmRNbhlOPC7zJDt5bDEl%20b6mYnW0OxzHkoO2Sh48p76Lr+FLYenqkdpkailVTsCcQkEJ3KOqaS990itLxXRuQUFGIKs1zqQKh%20oaC7Naci3wm576BDkYNDMqyHitwvMk/JRUtuZ9rp0nZNDzNnU9IbZYRx5Vu3Vc0IU8UhUSqcrcM8%20XmeWkSwbj3fWhyKD8gHJsL072t7Ljp+YAR+KkuLqzRvf+95LUFJAU/rD4e7eXrPV/PcX/h0TPbW0%20LDjHEsBasy3TpjsygBnI/urKRm8wfuyRx6ansc1k4DsYnPXNna3d4eIoF6u72BSdqWlIHitD78a1%20cMqtT2/e3r65kmeWUw7ExQsvzdbcx08er1kVFhvFBZSlHwSN5pRpbVSSUyAJ+XeceBQXaVKbqmEt%20VCWA1qoFjU57asvfMGRhUsELMpcYZLiytBGLdGrMBSXKZpTDTcZE4DWNrKkyA8lXIqq4ytc3NsAE%20O9MzFLaOPVwUvMwYZfM6cZpbLtrT7G7v1H1vHEW9zbVRr3v1/OX+sDj3yENTnSPCGLbnOzc3LuWG%20Y7ksB1uqynZ7+tDysf7OXTQOgrqyQXWK1ICCnAduAJL5xNPPJOPkyqWL2KadmbqQeRTJQ4tzs7Mn%20LGMDy6MqxrsbXSglPzJCZVkG1Dt8+PCf/dmf/ezP/ixYPNVIyjKdqQ8Ihjr1YLN+MO64MvC90Pzx%20tQnub90Ijmk6ffr0F7/4RYA7oHZnZ2dxcRHgnikv5IN1pd5fGFlLyh9aVpG1AuzAIiILXpxXJhk2%20KBODsf0MEoovqSalL/bHSiO9rgaiMu2kx4xJYZ2Sgi0qnTRCfiLTmFQMMYRdOg6ryGFLbQdcqXoF%20zHZssvoQu7dN3jBZiI6Enh16Cps5qe9FGSp6PyGn2B9UViWj4gFJmg8GwyJNyeBJhlyoySXGepwT%20oDHXqYyglC4YzuLcqZnjJ9Y3tjPfbNc74PdldIcFdsNxbTcUpbG5F0NLwT0lBWpQPgfl90FiGBSG%20g/tDHYfGAUGVADAqY7sfjwd5zsKKt0ZVGO2Z24NC5OzG3S3fsV230b2yyq3IMMYPPXLcrQfMFVZR%20JdnQMorAFoEvpuabHCp1PqZEk8pMRkk6KuemAyHj2+troFKmTSpVbzC6fOUGbl0L3bnptso1MVVx%20LaYSyaRjG5ILUF5lfQECCdcWwJMkkZayDdgqLxSwY7tWGDrNhhMGZjyUJoEVpQ9jHbgOA/xS6LPK%20s1R5xiQQaJpKkVSlTEpdB4vybCZ59FwH6UGdsP24VB6414K78rwkUcRtkVM6hIO3wNj3usPhqDi5%20HVE8k9184olj/f5OmpmjUWbx4h+/8sJeb+fsux8VFHqE2QqbrRp6dvvmrfWVjZmZuWE/fuG7V3p7%206WzDv37t6jitpudXpmYPN5pny3JmfVt2B2m7H2PX5aONvfXLTz351NzyyW6aZIZvBYc2NnuVWPJ8%2076Xzl3ixyazCwjp0eLc3/spX/vnK1XU/bOztbvS63U67bbkOxnp24fDFy9fynGxWU1OH3vXoe25e%20X8EqCes+d0KsWoD+OM563Z7rkxxeXb0LvXZ+bjasNZU7Cns1A4+hicAEmSyORv3e6Patu/ML80HY%20BI3AMoQu69l1WsPMlgZUGwBWvT1tXb3wcn9rfW/jbm9ns6zsd73r8fbUzOr6tldrA64TbF0ODRyS%20PcNk1cLa7Nw8q8Z+GJK5U+VnYbYarebZhx+tdTphrYVNXhRyc2u70QxI2lMwFdve7g77g1a9ycyw%20v7NRvYUMVY1KgNp2uw2Si4377LPPaifhysrK3/3d3z3zzDM+WM2DYO46OEfHnmrj+0EJBG3f+D6F%20AXQ5gYOsq/9IEcGnUDXe+973rq2tbW9va/mkqw5ASuGF5u8Pyiyja9doWNdd0G2bRHy99s03fYCs%20UbiL6aqUZ2xLoaIuTDlJhaNdXE1qCBwUUjV1EaNJZgnt5Yq0dJVSoqLWBNsvLMmojggtZhUILbgQ%20Zob1UlG6OuV6kGkYIwpWkRuJYYLVCe5tgHIq6UFpPMKEcu6Qs5e0C0vnGlrg/Fbo2la95oFMmqwp%20xDRZg0EMEgr6zXNyKaZCprkzTJhwWsxtCm7d2JM3v30jzTLbDPPYydKy5O3mdCen0ohW4HkRpSJV%201BCrNHWYN7SMUgziZLC7XmY7hgUAqHHDHo+He8M0l36jPndstt0t22Ojvb3TMzOHSY4VY8Xoe17m%20FuR9moxvrXfLqleSFyFDyxvMajjo5rgoR3k1wmC4PGQmz4kqoR/JOI6zPKGIItfrzM5B9JVSpGmV%20xKPubh9cFLIQWjOtMOg8Dncd8kdQfg8n1ch1jIpiHI1C5mBh4PmuTXk8FNAF7dsSzZDbRgFVRzKD%20gtwNw/eov6o4Jg0yhZzbIP0e1kIcp8oGRGFySi4TspMjBUSU3N24rJkllR1GbwLuUlFi5Q6XKofb%20dT3XchgVSWDW+Vdvr+3EtiVmp0Z3V7dOHC+7e1kcJyurO37gDro5NDGsZ9fwuCkwLjeub734wmUp%20LqPf47H40pe+S/1xnUIyKD1PP/fc8vEzGYUFWpD8mF8nsPpR/I8vnL/R7Z8+t1uYzajw5Yg7zqHF%20hZphbEZx3ParVqd19OQZyw5W13awZYJ3z8zMLvb7g9FwsDA3EwY+NlO93njf81RiDTv98OElIexT%20Z97dnpqv1d1ma6E3KNBCjMKNm3tCFH7gj8cUViuN+qzZSJIoHsfouMkxnrkhyjQapMkw4PbRo6fr%20zXq3O7h0+fIjjz165MhJq3KwCNJKuC4vhOz34majhl5euHQpGewFDj968vTi0vHvfO+V8xdvvP9D%20zzleIy/NLC+TPCNLlElS3SNOQBo0KINFtTi8I0ePu0HoeMHq5maSrYHpAh0ajdbp0yfOnTvbbNah%20hM3PTtVCjpuXWWJZLpVReguGBbwA5B09elQXk7lx4wYw8eTJk7jvzZs3f+EXfgGr94FkMGlxAli3%20bXs4HEJmAPUA93hxYM3QcSxv5L/EHItCC4P9rGD2xtIRWlQsLS0tLCysr693Oh3cCD8cj8e9Xg8y%20DO88KPJOuQi2fVCK8iBB/17uiPJR6xKb36f+gKmzk4h+U1SzMu5oN70uZUHB7ELnV6hkU0MnTU/K%20h6kcT+X816FduoSBVJRyvwKSLvJHzaRwOWKBqh4j/U4NIlX40sWGhVqY0FYLFSXAdNEPWfKKqdA8%20XY0GsCIdYbgmhXtR/S6dScdUgRN01/OZZQapdGPZHMZWspunZiMz/YoyTmwKNxB54Ad7qdjdGEJv%20tm0np5BxCxyR6m6VqvwWK9XQQJyU2CUUHJ9QdUWLUVoM97ylmcOAvzCo23aYlVaU8oTxyvS5xykd%20sqSEV9eV+KbXdKJ8dHu1L0U3TjPHMg91mp5IXI5VR+GaKb6cV8zljuWBsFkW1cSlOA2VQgJpGEdJ%20LQzajfrhqenZ6U6WpL29UU4pKsU4TsCAlQGAgtAB6zZQHy0zTQfDZopBVFWk0xhlngJofJuWS5kU%20nhkENk/QF8cZRUBXNj8/XavXoiQuhIiiZDyKgA31upOMs6jKVcoQpK4tTUUEJDlaC2VeliqXzZCZ%207QQ6pO/14J6qsCrDU/GVlSCzRugDf3d3x+sbNyG+Q9/e2twexUWW35XyDt6fnQlbbWvw6vWKYMII%20gxAsO06SXnfg19qQYJANNZuWZ90LZ2fmBdh1vTW9dK4+vcSxVS2bpZlIUog+vxoPhP3ClbvbiXfm%203LO2N9WPyNwXeI5dGtPT7SceOTE/O2OyYBOaGAU3OjOmB9YMNLfMIxZTaf4l1UM+fvwcxFeapFjd%2012/ddd3wyLFT0HBWV3srKztZnOMdxw6wjvcGVNjGcYNbK707awPMUJKMyZkNDcssmagG/W1g6EMn%20Txw+fLyignbjuZkFl/vD7ihLLaxUTGZWpdDGu71hvz+cX1iamVteS7LlE0eXjp6+fmPt5Vcul4ad%205dA4qaY2lrJDCXIpsWMLS7AA08GqNSghAbLdCcJabzR68fyL293BqXMnOTmQ+eHDhxzbWVtf6w8C%2033Ox/ke9bZCTRuhZ5Gqx34pVAY9Wq7W8vDwajfD66tWrQEaAuz5N4vjx4xqRH1TsIFdJtqqKLCXR%204C4aBHX5yf8oMlL/ULt59TffaCzSyC4pkDkAjoO5Qx0BuINf4xbA+lOnTs3Pzz/AUBncDgoBbgeZ%20pNN9cS8tnNAR9O6giPx/fAmpAsAn5XSpTpEqwK5KXmgkFQfu/kmJVPU1FRY9CShVNWC1Gm/t12c6%20KPOt62dPCowQ31fB0ZMYaRIcKuVR1Yki8zblm5ey1FqCqmpgWJKVk+ACLT7wEc8Zi0nGlFSbVUz8%20WKUOJlMaBcv5/NhqJCDtC4d7ibu2MaCweQHk8wwm0opnSRwVlst4UbKycqgoMW5eEWmXyuRAfmNV%20SyWlqOKcjLcM9BhiyQnqwfTCAvb4KCmhfozGeTcyS8vN84yqAXBZscS0ANhkqo7zVBo2aNjM7NFj%20y/Npd8srx7wsWnVQdZlkIquw8+qj1LSqfAy+T/GXNuhhCTUZQFCaa6u7htyZbvmhZzdDnzzXVFlW%20VamStgOpYFDIdQL8pKo/harxUAHcObmNvVpQsznVQc6LErueCm9aFb7ooDsguHGWJkm9ZgMGwXWn%20ZzrgkevrGzdGI0p7BKeprGbNVyXYcl0ZCGyfTKeqfhUlTlGiGAdACVVXznhjVUgqKFNWdmVDNQNT%20jpIqTigJlTn+3HTIGMZden44M2dTwJMQrc6U73uUdaUqZDG6A4P2kOTM8pvzc1ONRhvANRpG6PuR%205UXH98c5NEE7tWTu8kTkBU2xwXyHEnaimNWmTywc7TQPxZFdGREGtxJJJ3QOLXjT7sMLbTtJ0zsr%20t27eXR/HRa0+bbDMsn1VEskgn65aDKp2JlVKoEACSxmbpKqFTwqo5Xm+H3AplIMZrB46VaBKxQJc%20HIp+CepYoAICB2zG4ywvqt2Nu7fublLEvee2m41jx05CCAIpvvfdq7fvdPNKxllZUOWYaqbNz5w6%201Wot8hPe4SPLW9vj23c2MYAFJesKmY2VzutgU0Zpzk0La4KiK6uM4mMpCZBslYNuH8rSocV56HV3%2076xMT88YamBX1tbSNJlbnD15/Fi/39vd2p1uNaXPolEyHqdvBZ50EAuYO3Dw4HQ6vH/37l1A5Jue%20VGe8hSNG9ekZjUaDyuMogwbAej9LwHxT561SKwtNk7XT8sCY88YGaHAHiENWzc3NPf/883i+fPmy%20Tr7FRw9KUOnITowPuoAXuP7s7KzWcnSqxw9UMJn2qaCCE5Nqo6q2lKr3a+hSIWoAVH1yU9f/M3Tx%20MPO+anaqkJ+qJCD2azRJlTsudL0/Y1JvypJVzTyIa9svpGHqpGu6hCoNSAnz1URJUL8VuhDBJFeO%20dlQFuGS50g5UJSqd8s30QRDKMGRYFOLoeGllJcNskAHE6qVhxUnhlqC0PO5GWZS4bl1S6XcqlkNs%20VO1E1wkn4cK6OCZlvKsiKtBsBBiVD+EDTJo/fO7QoUNJmoM/X7h4bffKlshiVhbYvVQPDeNqc2CM%20NK0YQiApm7VGPaxX6W7oth45d3Tr1mX0l1tOXIqcAkPqlFCai8Eoty0XvY3TskAPOLQKMSwobCms%202HTYLkSRJJksIoqQFioqXJnQoG0SFqGj5NeGEDLTAgoJZVPZbmgHtmIAWBiJZVJ5sf7OqIqrLDHi%20cWUKrBS/UW+XZgFMAnDVgqDVrJFDm6KhqbAtjQNxfpllQmXGWoB7/Voqr3NeVfU40XVz+Wu3nExi%20svZQWVFKKCavLh2I4dUEhZDzWhAqpwxFZENupRhHSeXm2p124FC1AiyMpCj744QFph822p05m3uQ%20PZ1ZSpd3Qyuo13yTZ8K6eOvmyLBqzXZl6Eov1jiOLl6+ZVStIg1GZZbGd7grg6Y5N+ssL3banhHK%20auvu1ur27jaV8JRhWJ+fX+Q8oJRhqi1HZYhMlc1PSqKKH6LEXKolSq4KVRxPOY2xISmHQmXNKZsm%20V5bcSd6dISgWqpKJpMQNzrA28ohC1OXmZte2jFF/ODs3AzEwOzPz7E+Ep84M1rZ2rt1Y6fXjMi9W%20VuJBN37qiSc77UOvXty68OrF/pBCGPb60aVr10+fOXPuoYdiaEdFcSihkLb56SZUryyJTBU9mWd5%20kVWQJDv9/szC4qGlw2cffjgaxS+tvQQmevjw4bAWur5z6NAi+kRkn7Hbd9auXL21cOrpt8LcAUYY%20LzD3K1euaPepdrSeP38en2pwf1BoSGRIiJ2dna2tLUiUmZkZbSeJ41gfFQIQ1y9e90ON7Pg5BINm%2096/JK36tyAFxnp6e1rGPp0+fxpt4TckW9brx4M5QVWnYZNAHrF+8ePHmzZsf/OAHMU1aw9AS6z+9%20F5FikC0r0ykVKlHO1GfeGAeeZgpGY8a9UnqGOsZIynt19qTi/qpAqDLXqMrR2mbDBJMHpasLZX6h%20HaEQWLP4/YJkWnoozk+H9GjqT6RJOQB0ZUftAsZL7ChXF+aYDLuKPKMCwIrgg1CCWW6PdndHTq1T%20j2JQNZd7HsWRgAhSmRYBFcHxwqyiI4S47UhKvyf9jAINpY65lCoTswSFA+YXYEilQ/Iwz6dmlm2n%20vTfIw1p9dqZ58+42Zxu2kTPKpKpJ5iYAozg3TCppZZRlO7QAVJsrG+PBdtMezQV5HGXeXIezIMuN%207qjwfbuMC16YILXQ6ym3PK8gjWp+OBwlaG8ujN1hujBnYcmKHMCfUMAFZAkFYEzC7VReEEF/UY6r%200qQhEtAAMscF4nOqHcKNIksp6EXKdAwQhbwFG3Uh3oe9rLs38EKMaorfY5CmOlMqFlamEUXwUAA0%20MSPDkyDpZg4IyVQaT6mKWSmnjS5H+CZmmVxFnoND0LEs5Da3oE1w14uLjAKxjEpVhoc8ND3faTRr%20WU7ZjJ5v+45dleRvFbb0TbvmhbMLR2utqSwVVpgcWjxM8UMW5cm6Yd1gzndffnVl95UPfeQj0TiG%20lKMIk929K5dWD7dOtRwnHqw3/PzI8amlY51a3YI2w9JkuLO7s7Y5hMZEehmpinQOnFqHqlFSl02m%20ChlU0hSdJhwniFBJ1ZqhKg7CLF3Gmqlzr9TpVJoemDQiFHCAvtuGQ7Vz8oS4DQUfQ3AAlrNuiQkv%20p6Y7wNlWx1tcmjoRHz5ybPHy5dvXLt8ZR/nO9u7FS9dPHDv1ykvXBmDCUTwz1Th+bKnX7V29fHl6%20fh6KTl5WYeBBK+nu7hY7AxFHe7tbmM8iyTfX1vq9IZS7OyuroyI/eeYUWGCSFpcuXTlWHDn70Fmw%20hNX1NayPOIqoDmhRzE7Pz0zNfh9W/v0DUbSFhOIrVQR6oc7x0oddvPrqq61WC2zUuP+shtdm8+K3%202qYMdD5IOr3/m697APKAs3/+539+4cIFfOfDH/7wT/3UTzWbTQ27msi/0f2ob6dt5XhGw4Cnjz32%20GH51/100wdclf3FxNKnb7W5sbIDf3bhxA1LqkUce+f6AeyBC7j9g6/vIKjRmZWXl85///N/+7d9u%20b2//+7//+0//9E8/9NBDS0tLOm5Fh8DrHr3ppQgPLSxKMTlBkkDSmrhD90v8aSOMKe8dS6kZ7UHF%20DyrUoTLtDHMC7DofWur6kMbERmPo5GzaMyq5cQLuyoGhaLcuKUwGdJXxqCC7UkVLK6UW6FKvZDJh%20FRDBURMzqTdpUnKTpQrdUOkacN7MsAoKTAOSuUaVMVGAkgDaVQg/dOeSCtuKigzd3HQdR5RmIktr%20v6KsJUkEaK8wFUswK6o9pY6TrNc723vDne6lXq+fl0VYr+EerUZIEYambTK7Ep4AH+AefmqIcV5E%20h5YPLy60h91ROOW5RveVVy+0fRG0Znf65qW73ay06zXvzpVrgUmpU8zhIN15NTnQK01zignC+hTV%20ysbuYJA0Qteh4wUr27epOAERyULvGwm9pDCLHOqIWVZQXOzeOCnjkdJyhGcanlqcFQMzCKTjyoxV%20hQJuKW5cvWu5DNekhExVoZkCmJTb1ieFn8rKqVg/G4uG7NlZOabqrRnl/Vayn2Yut/U0vc4so86d%20qCQn6wTJTGZxx6MSlRDBRSXNXHrc547j+y6UdSrqkmEb5JT8zwknC8Pya4HXCQap2OzHYkjnkoBf%20dxaPR6PIcUKyTuTApq2gsbS6vj4YQADjjvmon3a3h8vzx5cbHZGtzx92z52bnpn30AVsst7OaGdl%20pRj1imxsmiFjrsIVpbyqiqN04hJFC+jDItVBk/owPu1+ogVsqUrwbP+USrmvXpq65Bab1FrSB1Yx%20VU9VuZKUH0u9pTYIWQyqaDxMsxRiuN625+bma7XWmZNLSwvzjz/62OrqztUrN6Ioj+IIa7HRCJMk%20n5punTp56u7a6srqRpSMx3HaH0IRpANxOjV+Zt5p+vbmxsYI7ECyCxcvZ5WcmpsrOIui5M6dO9gF%20/f4QM7xJtUZH2AYQq3NT0xg74ND21oBOssnePJkeSKdzfbUr8nWFdLRDEkBGao5l1Wo17cwEoIMd%20408g47ve9a5z584Z+/UjNU4dICP+BMj+zd/8zdGjR59++mmtBOhcfx1Gcq+4oDI947LXr1//1Kc+%209YUvfAGf7u7uvvTSS//tv/233/u93/voRz+apqnOxjpI6D9A4Ul5HxUgD9nwB3/wB5ANf/qnf/r8%20889r/6r2x04KiKoHfrK5uQnA1RVmXnjhBXz01FNPabfnQbaR9twenFiia+xMTU3h/ULVMdW4rMfq%20/hK4B935oz/6I2A6ZgrvfOYzn3nxxRcxGr/+67+Oe+mvff8KlJzKIRqu7Rr3lcIw75XTltocY7GJ%20j1Rb3NUhAcaBR1lOTPPmvURCZaFnGuIP5LGhna2mNqeQ7dbQckKqWr+qGLikYkWq5uh+FT0tVCh+%205d7V8R02McJrBYHKDwuCdPo91Q3M5biySr8D9bqS1uxUCwBEOedJxAinzPFgxEwH+iqAhObLSPCz%20uqdkjk4dZ3T8n3I2ywzSAqjJjLBWm52ZwxcG/SFNu0F6dtTPmUyxpbCcLTNhbAh8hz7k+rZHJ0tZ%20VdGIsqQ3xF9hHPUXl09VshqMN168m4XDQVx4jVpj81b37q2dmikXpvxa00/SBBAN1lPkSZ5kuuNF%20aWz2xpu9BBzAM4pm3ZqZqbdbYQB6a9lxNKRYbS5sXlQcaggTmNbcLiK0jLtOALKfi8q3XQq1toRX%209wAEPE8sSgyu6HQOQcHaWQQunjJKTFZy3TIdMnnrKg6UnkBczKZiFaq8lHA90/YsimCKzGaozjF8%20A3MnFcx2PVrJNLtWKc3RcFipP6uMboxpYHTWX5nGifQMlYdJjkDsKcu0KWQVrNeuq004U2/N7HWH%20N1Z3docvpuPEcRqnzpzzw9r1mxcghnZ3x1/60r+ePXUyifqXLp5nsvILkfPk6CH+8LmjzcYwK/pV%205nR38iuX7wy7vXbNxgbQJwbTGWBkyhLKp6RqptI/yjjQquj+C6GrwBja6iIpN9eUKoKUOIFa44Tm%20uoymijIw9CE2ZDdTRe5oxCkGQFl6CeXJ6EWl1ITM8xLqYdXpZLbjh0Hj2PL0TKdx+uTS7l7/xq27%20Bie/c5yJVqvpB1A0TYcKUlLZYoMSo2SeGrxuo0EZxajQAh+N6Nw0S5dCM0RYh3hzxv0REI0p29HK%206vrpsyeefeaZPEluXL128/rahQur8y0vy4s3Ul19bMXOzs61a9dAXekiygSscUoHmwP6AWF0pu31%2066+88srXvvY1gPXVq1dBcv/5n//5O9/5DkjoV7/6Vc2s8QyUDMMQCglIMaANYgCMFd/HRX7lV34F%20t8D1kyTRlnpdVEDbfBz1wPuA9S996Uu4CND8/Pnzq6uroOF45+GHHw6CAJfVNg0N0JpKayGh/ZPj%208fif/umfVGVUF691AZwDG4gm7Oi4Fmm3bt1Cw5588slvfetbL7/8Mn6O7hz4crURH+ODKw8Gg0aj%20gT5+9rOf/eu//utf+7Vf+9CHPnRg/6ESRvvyQzdPp8Liud1u4zq4rLbGoO8/8zM/8+Uvf/lzn/vc%20M888oyv24Pu6OMGbhs1QZBsVD5Uq/WhyMIAqbDexeGh7uTaJ6CgYpoIl9Ek56nAYYmWquohlHBw5%20PHHW0o/lpAaeOsujkvfOsdQnZtwnqnXZPNKEJ7JgYr/X5+/cO/9HKjuOPvpUH/2jDPmVoWMx99mR%205aTSSnJZb/itxhQkiXVkvhJpnEYb65tFBqls9vpdyHGb6zONmNIiLM8LueUq/4suKm5aVOnEoUwU%20237osUfoVJmtbYvZVEctKxy8yAvuU/y4Sg7A1OS2beTJKI6KVrMRhsHebn9t9Q5Ar1ar39oazs2d%20sMvOle2N//6ZZzoz03dv3rxwZX2Yczu0x7no9YfYQCoMyIKQx7/AmNS+12fK5gA9JqNuvhN1G+Go%2003Y7zWBhbtrlHGsS4oD8AHnVj1MQsgoqCfcoftTgDmWPacc1nb+UUzyOUFmTEqBgqOKZBEbqMGmh%20qwuQaUrS+ehUQZ3OoxJVWlCJOanPbFJHGdIZSHQ+IxnN5Jswdzrn0HGrMlfBrLix6PfHIIWtTks5%20r4FHVWJmXGV/chX8SIdEk8nQNhgV0ElzCFJbsnCYWd31YZyInWHZAz4NosBJo1w2mi1ctru9hwbv%207WxdzCImi97ORrsePPLo8mPHa1ONnIndIoswkNvbu1dubPcGeRC0SigkkgbbKCqdAK2OpJqcFE9W%20H537ZWpby8R4OIkJFpMTRCjan6CcyvGoxS31cUqMFEDyJqlNpBIOtA6ECSZML1RKGAkPRoXZLJuE%20CjRNGY+yqH8Xg7a8fMSfc1pNHvhmqz2zcKg+Nc1vXV/Z2LiapiOIdYqBtcwsJw2DanMIw2VG4Dqe%20zYokyrMSGFJQpVPymNBc0DGKVD0/yzODSiXHo2gI7A+CEN+6fPXK7ubeaDxSJxGLOC3eaDEAdgOL%20f/d3f/fb3/728ePHgVCakutADu1EBSQBhXUwCbBybm4OPyHpFceguj/5kz+JTwHugLDZ2Vk8QwAA%20oba2tg5sF1//+td/6Zd+CZLgN37jNwCjuGa/3weIHzlyBBcE8GGt49YAbn14Kb6Ju0BORFGEljzy%20yCNPPPEEVIR/+Id/6HQ6EDOLi4toJEg9rg8pAiqNC+KHuDuY+OXLl9Ha9773vSDXIO9f+cpX8Cca%20gw7qTNqNjQ1tvscLdAEdRGu10EID0H4tIfCnhnUMzvT0NBQIvP+xj33sypUrKysrf/iHf/jFL37x%20ueee08E2uDLaj2boIP2DegNadl66dAlSAS/ICBdFaNjNmzchLOfn5/EOevH+97//fe9733+U36SO%20wzS0RYXM7ZbU5HoS135w1PyBRX7/eGJ9ItL++xSCjol9ncFJUW+dz2rqSJqS1FyphdbksG2VgjOp%20XqjrxUtd4trUZ3ccpEzdO5/bUCX0VKq7YBMtQR0HZ04qwlFwvZkk8SAZljJcWVvb2emHvt9qBq5r%206sRvP3BmphfmqehXVIAeU3HFQlVbKKJRSjSONrelAJ9B/E3Pzs7Pz27t7F68eKGsqCIyyHKtFkhf%20+jbWcJFkgyJLxjm2keGoNO5aUHcBzHmWA1atMkn7gvmu1XIsb5SX3A3a80uDTLBU3tnsb/XHU1Nz%209dAzi+54uGuZ1cL0jGXZSZqfXJiK0lIX685LKmVVVDJR0Jxl1U6Sd7u5bUU3W0kzcHzXpMOtLUJz%20o+yKMfF2y8rxU8dkvu0QRaVK4JYs6ERCYVrY9IDkUhW1IoCyJvXaJ85qKhRE5pj9irMUIEPGYk4m%20laJQR6KrEEzle2RvUlsGE5Srrei4FoWhovmqvCLZYTMop2BGVlmIURG7LhnRCrJUU8oowaxP+t0g%20l4kpKeHYqwnLN7iXFFEGpd+pBzVHiGRjZ327u0VSxgDVonyqaLQlivHyoea7Hj718GnHNW5AK6hZ%20bpU6K6sbGzs9CLSgHjo8NEtOvl6JnRwLOtuEK5+TJIuQZuBMHfSunEOKYguLG/pkAGVBxlcogQwD%20oEiQlhBiclCq0OcM6yMGaXFbdMYt5oBoO6ZZaTpM/ajUO81iXOYCU8sdKFXV6sqdOB3Oz8/lgGaQ%20dL988ulTD509PT+3mIyzJB0Nev14MITGKqhokigzSqD1bEyBzDOAqfB806aEcZt7nqFqhoyGI4hO%20TF40jpU/Hio82cFWVtdcz188tDjsDrHJNnfH126svBHcAanf/OY3QYo/9alPAVw019a2Dm3BwHd0%20DB/GDrivWbY25uhqQiCzWZYd2J3x86effloXWdRmE7z5cz/3c7//+7//y7/8y5///Od/8zd/ExfE%20aOvSApqG6+sfnFv9iU98QvNrQDNQHlAO6NTmFFwQ/F2rFFok6IJfdOinisfHM8D3T/7kT4DOkAQf%20+MAHDqInAa9a3mjkBXbrDFhd5wA3QjuBy/gaLo5+AdAXFhZ0RDwkzfPPP4/rLC8vf/e7333Pe94D%20fQJcHqCseTeGBf3SOVD3M3d9R8gAfA1CERrM448/rk+tQrO1iPrjP/7jT3/607/9278NzUZbwN5Q%20OIwFHqW3KN8PxUJwsFbO5L3TzEx9ZoYuK61jHPVBmq8FcqkWJzMmjHsf94WhnSDaVE5jr3n4fo0x%20/ZnUp4AoZyhTtXm1zUcd2V0d1FQyDk4U1pZ2Fdhu7hdIJe1YWfmF2o9CVimVpLeogI5n9Pujja3S%20NNJaYGcpZQtvba2SIVUKgqhKeJ4TBDRfOcUcFHQGHJXIoswoozRdH4SHgSQMBwNclMqPyWrQ6xZx%20Vq81MdrQ1mpU0TZkpp2OU7CVUX9cimx5ac5zzaLYc+2cuUES9zrzU0Fgl8VYMPvihUuWe3NzbQPz%20OTM971H1s67vBNj1AuDlgspTNlKn3qRcLcMCICdZiuaXVFywyNOYjPNVQdah3eG2pPNRm6E102k3%20Wy2/Fgo6xT4jC58hA9cPbeYoDcc1bBIRVDaTY4eQZVkyoSvHKWscM7Xd2NB5x7mkI3osy5EYzJRE%20DZguliUHaqoTFrEso5h0Bl3kir+OQlDdFFVrhRJ4SkxQ5XtuKSjAnzk2bh/nZPYCSyz6w4iKhQHc%20M+wW30uYU8u5E4nC99N6w4NMlZAIVdTg1uFOKISTWI0MSE36sxHgzkVslEPfNuan6yeOTzfqpuf2%20bWlVqdvdizZXd0aDMSDUNYVNRwMWaDxhchZTbhHUPcsbU8g4c0RSZxijjA4the5jcsNmUD6otMS4%20W42GHrmF/SCoS8gMgyd5OdrZSAd7/vRMsHAoV0X4XAB51JdZQkvTsUyQWbeWkWVG5hhLgDwGQFKc%20KiVes7Kg8AbT5xSjWpI/gurlr65ubO/szC7MtdstrAPMKKD6mWcejsbJ+vr2yppXrmGn0VEM6jBL%20UiSSwljby/PYzHOJ5Tk11ynpKGQxGPWMFLKeSng4DkYzhBzpdFzuiD6ExDheXJjzbXthcerJx8+Y%20ojxyevGNblL94ty5cx/84AdPnz4Nbq5RVeP7QcLnwfHH2iyuARTwB6TDBgPw7Z+bTIgPWnoQhqjP%201QQ4AvGB1KCrgD/QcF0UXlu99e30a43OmgTq2HMguzay6yIzuuS6bthBZpAOjoSM0UHx6AXexM8/%20/vGPnz17Fu3U39dmKG0COkh6wvOIKscN0EjAunb56pbjazpVFW3QsK7b/JGPfORzn/vcqVOnXn75%20ZUgdbcvSmahg8QdKz/1We31rqDjo/qOPPqqjSKk4e1VBEcG4ra2t/dVf/dWHP/xhXPZNbO7geJ7h%20uLpaDM0MRVDb5iTYReqDN/RpZpOodfIpVSq0/b7aISquWsdKTn6iC55q+FbUnOIpLH3Ikzbq77tZ%209Vep4pFKZdX+hQNTjf7vvlOz1WE2yoe6f0q8Nvsbk3KpTJmSVHnbKgWmlPWwaTGvYgI4G0U73b21%20NI1lCfCP6XA0qiFPig3uBfV0PGaOS5n9dNg9pfUBZZnP3EY9xA1qoV8BhadmovEY8E3n4tYIt2wO%20tTgfRaOuGBC5ckLfa4ReDfPw3DNPArr+9Ru3i3yv7hpp2t+8s96sgUZTWcVGZxooZhZpYFMgC3Y8%20BqgUnCpzUfQFlXmhitt4y+IO6dMstFgtdG060tyRFOgi1FHJRp5SuX2FB8Imo0yX+2bbs2O3GJG/%20lFElN+Y46pgHl1kxnSJOQYbKTCO0/iMpMFaFCSm1zDImAUkUxUilNZUZx4LGb7qeJ+iMw8ke4Y4t%20oqzaz1Z/XT13YKZVgazS+eOUW6ICdemIFtNmVGrRkJBXmFaIC+gjRVV6Dh1MRCZibuYUOFQNkqSo%20xVON5qkzTxmlfffq1WjXm295cR6NLK8wmIfR5GZgFp4sOmF7ZopNT2E19IWIjJjFKRsN4t3tbtQf%20U3R+VZlCVZhQVhRiBGVMobhOKLhX0InpzIc0GHfT/l5Rml5r0W3PZ4xyfJ0iGa7e6d+95Yly4PDZ%20hcXW9EI/zte2tqq9PQkufOJ4bWqKeRRRK+JhtrkiB13yH+N/zZbVPmTwAEBMWphgNDGltEt9Lhl0%20TspusBWPYVzHOpAjO8nk5kZvOMwAJb7n2xQsO2623Gb76NRM++SZY5evrly/eqcfx2mOcZPjLE9J%20y+KQ+1ZpYvFCiEIAjHYTUNCQspMhBFOzCrEI4iJeWJyxLUeoCq4gMw8/evKpJx9q1Vln4bE32tzJ%209vf/UPdesXZd17nwmquvXc857KQoUo1FjaR6842u+9WNg5vEMWwnNuCHGEaAGHBgIC9JHgIkQIAE%20SJDylIIgwA/c3wiSwA8pTox0R+6WTMlWiUSxiORpu64615z/+MZYe3HriFL0y7qA7zZFb56z9+pz%201G98H8/cr6+vk/GyIGcuxCpJeUGqBLSqyGJKpCnWiqJaVkep6OdiClv69bZe35Zl6Fsf+chHPv7x%20j1M0/ad/+qe0IzGXtF+ZgWp9iWyhfdOOI0HWhCHhbbe2YHY0KWq3rU76zJNPPvkHf/AHGvR0ldT3%20C9RcK6mht5ttu6DS7z137pwcibQcJA9o26SSGciloB8+9NBDX/va1/7yL/+SLtoXv/jFD33oQ3Qp%205Le0Lzl9ObB2Spaukrgo8QFi3OXD5FdGoxH9io7hpZdeorzkesMBBgzpEFYSwZtAepxMLC3AdwHC%20iHzNYuSUtWGUumaakY+TebKiTf+a7uyClZoDeJdxBQyXZJSZI1o7jjBvyL6FWcm5pjLc+ADbgjON%20Y9vyuxE4vhUQvgerhNSZKwkxrQEnrkvmOKAQVftloarSrUsG4rOEJIRrahaSZjZWlKiqmqdymOuM%20mxB9NHGiIExYxsSurO7Slfne2We3Rhv9Ts8L/apC94UyWqd2NUbL7Wwyszrrd92zT32r06+n4yue%20mteZ7qoAU1GbBSX9xo0301RTPF7q2Hcn29t5Ne/41t+3j+5pEPidJKzyfEbRxGgrn0wgKUKxCPnj%20gE60DDwHY/yYRWXNBtcb9uhboWhsVhRx6nzQSdSBZJaTQVcUdHZ8D0SJ3HRWoGo3CoG7EY5Yl7Vs%20Az/yVaOT7nEHkULXGWB6LFPOzScXhR5OyhyvxsBmQeYyQ6FfC2vFa4w73eEoRtzjU0xKiYj1y8Al%20h+VHinKd9c0RqMyNJatSuZ4N/CQOyXW4CuyiPkubY9HUmh7n9fWtoPOqNfH5q5PJxizVNkPpbUS5%20ZmrTMixvPjS48eBw7zBIQl3loxC01cnWxtb2NqqWZM6AOdLMjdsEK1INRNIXOqqCAzOxrshdeLNp%20uX3VUKirPaOjMBn4Ubeg9DLP/apeSbpekWbT2YXZf7568WrKIkxrnt9bGZJVmG9tqhVWdByP6nQW%20O1VCt0wXxWRUO10bgwySnkfPQOSsBsdlhaKl0uAxsgIocCWA4QIoTFEGov4iy0BWvraLIsuEbZAd%20Dgb337fnxInbX3jx3FPfPf/U098bTecUtEdeAPip8nbv3zMab1P00et39+zZVZbF9mha5ppMdDeB%20e3WVnk/JDOe71xLlVN2kd/jQ/iT06LHrDOevh5NTNP3ss88+88wzf/RHf0Qrg4J3sjVkiVB5C8O9%20e/fmSO5A+vjKK69Q3H38+HGyy3T96Ys33HDDoUOH6Lv0xa2tLfqAtGfJ7pPZksqDuAQKh//iL/6C%20glP67pe//OXHH3/8Yx/7GH34qaeeInP/rne9ixYJWc/NzU36vNSFaDu0l+9+97t0AEePHqVfCT0v%20mKq6XTpIKV9gaoyLPPRFuo60td/4jd+gXXzyk5+k4/nbv/1bOkjaOP1WgCtiu+U424tA3yIzLWxo%20Fy5coM/TcYpXkOOnsxP3QF+ns/vKV77yJ3/yJ5S70DZ/53d+hzb7kz/5k/QBYcKhY1tmYpCISXjW%20rl69+uKLL95+++20C3Fs9EOKKz/60Y8+/fTTdCJ00a6LlqE9UzhBJkIedOgVgV1dt8pmogwjwsJN%20/Rt/e4KVXEz5GOgduYFtnIGxjWrDojjTNFdl7Mm22u/wc66zwNQwNIae6WBREUKdhtE6TRpxzbwL%20jsEqCTatANSUjLOyRBC0gelUylzRAsLRJbrWL//nBYPaLcW/CfpeLprJiF2RrCByBwUKnL4OQwow%20AXLTlLSWFLJOa+dibTygKpX38ssXAjeiyIuSK6joFUWtWRjHo0P3K2BrdAiGS9PpBFsbFy+ev0LB%203rAT1EUWkfEvi16nu7pr39ZM5yYqNfATkEOZ5ZArsvXF2TqXFv0hfS6JHROWwcDYyPgVQ/Js5TBN%20ItnCXDPhF5oPFHSQ/4kiQAAiZB+BZ4uw0p3uIOigjl3nRUxOjgLlwA3jhFybrjNbl5S9+C541pmJ%20AVwOAZ2eR2kCeHyhykE7MsCAG1aqJRMjeiwYJtX0E9xQP4S3xsP/eigkxJvKwlRF1El8llzpdLoY%20qC3KmMy9586yNEo6vlD1gxURZTEodmVFgnzfx5iVjbzYXDz/yrlX89r2ptOsTKfk7xK/7FTzIt9a%20GdZHj+y+43iyZ0CmchNPXU3JlJOlerQ9n05HeTanh4ZOzIE11QhPON9jTICBwK5F/zo0eZilofKr%209avRbNQHGa8pNq7mrh+7B8vpePuVl/KNzRVfRT44TckMj+cZvesm3aiuAleleZptbg7iDii183lg%20iiRwu2FYWUSGejJWpfEi389SVaYVLqL2a42WFUquTUjFJXpHYh4jkx7cA4FIAFnRbJauDFZX14Kw%20SydEj8WgH997z53Hjh87fermb37n+9975nujjSwJKdmMB/0+jG8KxV+kRdCpobAlpj1n81EY+4+9%206/R9D51xXMPqE3StFT15lBzmgJyWOyu5bL5pg2RAKRS9cuXKiRMnyH7J0E3ALwk8pRjS4ZeMLN11%20110hAGQB2Xeyqvv376dNiUWTUjvZL7KbORjqwf916623fu973yP3QB9rQ+Y+v1r6lxZ7zrXUmuLZ%20V5llk3YtqBvp9MoEaYt2FykoSR3oeG677bZ/+qd/+sIXvkBvPvjBD4qD2d7epg/QIbX8BIJilDoP%20hVzPPfccWW06Ntoj/YpcgiQxFE3T37Q7SVmkJUAv+jCdjqDpn3/+eUQb/BK6YKGDF/cj8BjaLzmn%20DX6dP39eWsq0Zdr1vn37fvzHf5z8EJl+uYbXnapdlEEYIMGW15N5UaeRbidzFqAKzwMqbPXVolze%20VGzQv0TQbF2Z+gHQQQZMF3iXJeCEXSqmIDxsGQPAZWiAlfAaAWHFpUm36d9yJHONEYdnXiTiF8ID%20I1zEMH4I4SGP5usp3Xzj+HWVOybA6DhZXAquIb6gApBk+6784UYyJDG9QKBBZKO5HQyEPRp7mh48%20Cu1CsvVFVnH70akLkBGTF+iSaUKWQBZWO5RTe24I1W/62jzPtiejK76XQ1fKU9MiW1vddfepe/PS%20f/W5C6q7J/S6FYZTtadzZVIK71Jdjmn3s8pOUs+ZR54NfdhWNAo9GGLyZUFHDTpdCxbS3t49u9MZ%20WTp0dItiPk5nxWxMKz6yFL1ZP6mcoAc/TmmlWyfMSAuSHI/CZnc+12R6yTjTI1ZhKUMD0YHgKCTD%20KWgJfYe8W0HxZifuD/r0bXrAtrYnZN8xCcuGBVWt0C8qrdwmhd2JlrGGzHtJfwdxmGfZbDrnlUUn%205pMBmqcVNL0tEFt0yYs8T9HJBvlnRkY9jNLazWwehcPKmRQQbqEkwC2V3hpvhnZ+OCxO3ji4754j%20R450lLmii43Ed+kC6txuXs4mIzJqBbjgMQDt2BJkEy7gI8gQUYdShguHmGk2FjS8Kh17xvfKrGeh%206OUWtVtXeuuy7oUuJSfTqaKTyWvoWnH43/NjbIscBstHGj+g65oAYWrm5dyWc8ySBIqeO1dT2jID%20D2dNFyy1+QxVAyZ/ofOnR89H8YuHPFwpjTEUDETHHqOXRBLXocSwLKoir4crJibTiRipzlkB+bbj%20R248sv+5kzd946vPfu+7z61vpmvrl2ezAuMTPlgj0nlJCyYMXMorh/3eww+feeiR04eO7ieHTxtQ%20DqWWZJjrOFT9yIlXVl+vr0Rho/yTjA4ZMrJHUkAXgy61C7HFvV5PGHEl+G2rNwcOHBAzTfZuuS4v%201Y+WKuDMmTMUoX/+85+nT5KpJUtHLoESBbHRYnOF7lxg9WQo6djoYzfddJPUi9oaAm1WDlIOry3L%20SGGHPMHJkyfp8J544olPfepT7W9FgEncQNvwpL2Q4aYYf3V19fDhw/T+/vvvl49JZ5U2JcBQcR5y%20bGSLH3300V/7tV/7l3/5FzpIOmz6urgxetF12GGdZTiA/B85xcuXL9M26TP0Rbm24nU+8YlP/O//%20/b9LsFVfb3iK4TIGoCyx8TUThbiNPnJDC6KEXdZpbHvTEpXrxnE6A2xqroJz5NGwBTeWfRG484CT%20bLaF07jNpqT8gmlF3lczjmqZ40batPg6On88TeU3k658VMo2UyP4Qs1ino5yE5/WYppTdGsqg+JL%20FxA/zPlgoBKKZfgmrXMKZjFW44CpGziNOEnQHQaQ30s63U4nhtSfdQb9IaUEVtMmKTGC4kLoJa6v%20wciVFzWGYJHuJ7GfkHFxtCLvn063Ny/UehpiztoUZGVc/8Q9Dxw8evIb334x8/b4yQ0m3qWNz0VD%20yvkL3+ahqTz4jcroQiFKKGfZDOQ2NcV+ZCE1Be6Jq3cNIAA4M2URzCmVH+46uDrsKFtcvHDuxRe+%20P85yp6oD5ejpzA2K0Adcl5zP7n6kwEzpqCBRPrhefOg3JYgz3ZB8K+OGKjJ4aV1N0wyKWkYVyslr%20VPWhgdrvdvv9KQXFBh0ByisBt6BHoBDhkNfV3Ok67tuze3z1CmUZk8lWOk1BnsUYcUp1VnsdZASO%20ohSB0hVQGxZk8XI6YhfJIJ0FBn3IH+WTbd+gXAXdqcoMQ3PkyIGVZPXU/uj4DZ3hwHHLDWtGnoW2%203HhrPLpaTLdtWYCviPaGMoUuq3mGYgi0pPTiGUf/mGyrVjyqROlePiF3F9RlP/Q44aTl4aTb67ZL%20GV3kIf/y3EozDz4qWlEI7ka6qOQSPRSRHK8q/DzL06lXpZ7icIIWvlERrYCK/LxrfOOVcyebaQyF%20gQ6fEk0ekrNs130GkfEoIyytwCplqAONUZiempwihRnrnW6v2x8ElPt0EnqM0/ksisPTp2+75ciR%20sydu/upXn97evpRCXsuLkQ/GdK5pWpCDvv/e4//zg6eO3LRnZTVOJyMKf3vdgTKR70UWej1VEq0F%20vcF16R7JoslgDoWioK5YMPe2o0YtyaJo3clP/vVf/5XMLkW47egp/UrcwDKYr6W0pY8JFuU3f/M3%20/+7v/u7xxx8f8oui2pbJq30JLJJSihDTcMkyaaIMoLaxf1tDl8OjQPgrX/kK+Zubb76ZfAlZZ5nM%20khNp+8OC5BHcoQTXtK92hkvqNnIYMs6KOi1XzKVaRT8kT0DG/Utf+tL6+jq5k7Nnz54+fZouwjKd%20QNt7IBdFW6ATITdADpJ2J9w1cszyet/73keXhbyFzMfujNyZJcaTYJ0LLx6L6zKWHRSPEH8BzN5I%20NV38oCeq09LvNKzFA0SYlL+5P+XYa4NQLZFMA3lXr40DXDko3NDmyreFGqdtHTc3hRnKnOYIhZbG%20NUJE08wWAubu1QgD1wbe/rq+ePVqWoRAr4WqohAeBQVylgWIJ9mhAJfHATsQfywaN5kWzHbDulQa%200KMKygplNJmT+54j5nRKJpWtVe1RFIaeZzkYrtiIFm7melVdZVk+rqttY+ZVOY5DBLSzea4C//77%207jty9KarW6OM7KcO3WhPGewGySV8V+HXOQVgTo3aMwXe3HPVrqn8Tqr4vYJGG0Sm7OTqle1t3wUN%208DMvng8csnXxoEe2R9dVag0ow3Tg5NaBejg3HJSpOo4dOFGRV3kKBkwvwqhmQUnhNJ3MyJRWSRwH%20USfqD2GmEHgUGV2+GrrLRVmQvbx4eZsexS5lMcgg6JaBMZ/SJPRKEaywasfrZPbQHIgTyjSL3asr%20+/btBiC+LpkhIdjenqC2paBel6WpVT6KSijzKEg+W99xY/qVr4vIpwtGfvRKVV3VRU4u9O6Dh97z%20rnvC9EKdX6WUpzYpiNNqtTUaTTbHk63caI8uYG3rIIIOOFMg1BA3YgocRgEwCyrlnb6bQQagCGmP%209bwuQeOPYMdzoJGiKQPU48uvuCGtV9PrdKJOr8zggdG+y0pKynwwiNXdXqfX60/qenb1Vacu0+mV%20yBSD4YDuB8XFvvWjyK89m5dZ39oOxeCYAdXIgoIAstSVJkudaZDmeVaUUJ1m9sT3GlgBLQkfFNi6%20pOcShXhArTvd/upKB343QVtBl8Nh97HH7j958uiLL7549uz3X3zxlTnILAOKDuIkeuKJD91/z7Er%20l76erJtOL+z0e/Sgk5EhB14XBfi7TZHNN1fsnuHrjDtZGYpDn3rqqS9/+cv/9m//9lu/9VsUhHa7%20XbJEUjORajU9KGJqyXrOsW703/zN35Bl37dvnyzsvXv3SpG9BYFIpWKZmpGOanNzk7Z56NAhyhlf%20fvll2lo7ASSRuNhW2hG9J7v5ta99TQrfdITCM9Oa5latm05BTCr9lq4PfZHyvueff57e08YFL08b%20kQoMfaZ1QuIkxHzLB6QzLHOzAoQXH3Dp0iU6HfmK1HYk/KdN/cd//MdDDz20tbVFu6PjpIMRO07b%20pC0sc2rSG9rOq6++SpuS7oLIw8rl+qu/+qtnnnnmQx/60BtJl1DeHaLguBhZhWam2/RN1aIGwniM%20hbmWYLslerQLVV4rgF7I73nuG/AI2etwPkthxVWtDrC7RN1zDSBkGyYvWDfaAxfza67GIF0FzAO1%20Fa6kgoO+Fzr7VE1WlqK1zIwMBq1ihnaXhpaurfiAvSBi2hUGJIMkBa6LDJswyDtFkc7TmgwTXZTR%209sSQFTb0RAUhJeKQTSs1WWilkjCucsYLA0OfVvVUlyNrJoGre4lHdpDMP7n6W08cO3XnMShET6Yx%20bjN5z6g2gVEddD/8xCcHpCtG3HPfGHj6nA41jFc9TLqwtIoiE1Envf3Vygy1d0p5p1PPodxhPqEw%20gsJBiD10FD2PvsrL0iUT6kP0pEinq4M47vbmaa58R+BWrh8Wjh6n1ZVZZeDpU+VPeTwJPXbKQNZW%204l6/S0sirGjlDqH+VlZlXgCJXlRMe0A/cUqowpk5WJFfB4WkU+v2+lEy7PYoVKg6/X7MAwDptFy/%20Op5O81TXhVFxd0CXnq41PeYUYypO8HXlafQ6TAcltywo10NDYZTdd2jtgXtuP3G8Yzee0moUgxqf%20DL+Tzsxsmm5vzIqUEh+UuzC4bNxIRRwqIJrwmMSCUkx0lLkeAu5J1jJIR2NQmdlB7EdBbTWPRWsw%20STtkCYZBkFdAJEHNN+gCetk0+JkP2wNZAgQh5xl5Cd+aPjjYvWya0d2PgEFTAS987aDHvysKs173%203CiflZShUZSC4i9dzzItbBCrhrDPcIcLd8qK/LXDMxgOgmIeSKE8BFJPYJ4AyW/Z6XWZx92tyPfU%20xera4L7dZ47efOPLL53/9ref3VjfvLyVP/bQPbfeesP/8//+ZWC3P/rRx8nrdAOKL4LvPffyxYub%20poaUyksvfP87337mwXc/8asPfGQnU1BZ3nPPPb//+7//j//4j2RM6ZTIJAlFVwothZJMuWC3KRy+%20++67z50799d//ddkl7/1rW9RHPpnf/Znt9xyC1nez3/+8ydPnkxBYFFI6YNeZLvJJWxvbwtWhAw6%20nakMpv793/89ubGLFy9KvCyWWoJZ+i3t5fLly7RH+iJ9kg7jxhtvFG4v2bJE1nKo9Hn6okwPkX0k%2050Q/pyyEzCXdBUCS2NQKtEaYJiUteOmll+iUydPQ7ui3X/jCF2qgj+hhCGjXAoIUJD4ZbsHjt5Q4%20gvuk13PPPUf2mq4evadzlEwIsg95TrsQz0eH98ILL9BhyEzAN7/5TXJUUrin3Yn3On/+PDmJRx55%20hHYkudRr153PUtjBgqTXYStqWV7Hig0Hu4dzjTjMWeCOmjnSpu0pnqahVPK8hr1AuIOdBs8uGEj3%20Go1AQwwpo6aYNXWtMAw6tmFsEhYblykJVWPwLY/McCVXZmQxnsrIeyuSk46ktPN+4t50OA48/fKr%206xTgqGAFpUlGU3O45vBICf2NyU2MLIG8z+EiAeUhPmJzgETAiRIng7I0rBXoMS6aPh0xBUugyE+g%20VQYKLApeuQU5V16unML3eXQLLCn+iePH7z513Bbj8VbaVcnlvAjc2KlKH70A8hG4BBqpT+iFPRZ+%20wiAPRd5Gl6DCgX/VPAxsC1Wntud29lKobCnL7+VJQB9OKe5y7SSbvjopxlFgQ1Uam8ERJV06LHI4%20FN5px83KOqIk2PUdP6C8AFAn8nAUuBqbo6uMSogB7T7M9KXxPPJGIpXS8dxBP1jtJcPVblXY3M/J%20H7qoJeu8MNNMu0F4nZq763oHDh499/LL5146TzcmLysK8sbj2YULo7LQvQG5v6jOSsAk4w5FxmEA%200V3kebXrU4BcO9PZhq6m2XxE9/3A3r2nTt3+wH2nbjy4Ky9GlZ6GMRx7kevJKBttzSfjdDIuhQWH%201r7RlIj5MmskCBlvMR3BgTCsIoijTYhWYzHv0mLybYcpwMiOltYtMNUJmVNa30Fht2cUsAeTaorZ%20NC+EszCeeF3ax5Q8s6nwwzyPBr3usL9Vzx3y2pCB9Xr9uMZwKKUg5F7dfb3eZD6dTkbaVQXtr6o6%20dHR5STcEFl0QaYb/b4Ema/AE/M8F3xJcMU9mZFUFWXoKw+OIfGRMLgEK9bXes7e/b9+pk3fc+tz3%20XnzyybNb442LVy4dOnrw0NpRL+inhbP+3IXvv/DyCy9ePvv0K2AB8p0sm2+tVzefmb6R7BHZso99%207GMiaNcWqVttIKmEkGUh40WWmizdt7/9bTL6ZBMpYiVLRPb98ccfv+OOO6SjKPZajGn7EsQI/fBL%20X/rSr//6r9MHfuVXfuVd73qXhHitGpFUqD/72c+ePXuW/iaTTSbvq1/9KqUFn/nMZ4TSXSrgrWRd%20Ww2g9//8z//8q7/6q2Q6f+/3fo+clhCctfQGsn35Clne3/3d3/36179OB0afJ5dAzoYsLNnWW2+9%209Rd+4RdajCYdNrkxssJt5UFmu6TxQC7hi1/8Ihnln/iJn2jnudrrJhshT/PJT36SvMjP//zP0/uf%20+qmf+uM//mPa7Kc+9Sm5SuKl9u/fT+d+Xc4yHixEvVoYqjFWwYVwpRbjSkom6LzFqCgTaWlgt5qH%20DYEFyL4WrVbhHRDoqieF9abODsSkZAJuS0LWBP3MqcTzTI4QD8tP0cM1C4suiYMrSHsjiHgO8/Fs%20O7rGHx4UpyXJaWVOpr7bV/FBJ3bz9W0I2pcm1FZVULSnHFoZN3DCrlKh5XYrre3CFoYid5jtANTo%209FkfIuIadKVunKAeBY5tS4mjx7JEJZpwZMdtRje1RsV6QiuVEnnD0WEJhmdz4vixu+64PQnNdJbT%20F2YmmLhe7gUxxJ5TH+i8sHbj0u+AEhfegw7QhTap13XchLaGIRVbADLoUVIeYpS24isaBKb2Mni/%20VY1i/aU6uEKpd10Wczq/MMH4fkAOztEu+RE/yzT4dpiBmewHtJU7USehjGPLjFOHVRE1GtsyXMAX%20HyEPnpYZmp2l0lWv271weYKIGMxsgXUpjnTwJgzt6407+cfzF9eLko6VzsSub8zOX9wmY4Teu+8V%20Gn1s5buUOZiiYkp/p9boMpYY1qrIGeTpplJ5qKrbbj7y3x55+OSxY/1OZM1UqXmn69XWm82yzY3p%209miepeRKrfLIPdBNxqCnLqCFyzOjXHYUEmrag2oalBqkPQ4qbbNsNQpvPbhvNfRUNne5Mgmiai8o%20OQ5wodBrcNl8GHINpywCVQpqHnVFi9JSCFzVFIbTlTIlRQVulIT0RKHqznKFqBl6nFFkRS+KD67u%203k7RYy6Qm7mUWWHmArabi0VizhtIQcvUI0QbaBwBbibDsMyal1HcTOF6oeM4j+JoMOiGUQj2OhQE%203LVdncd+5N5Tp08+9dRz51+5dMuRA3maffGv/8N6VaHLs99/mRKysvABiHaguJgZpzLBdY17i2QX%20dpR24rw1u2JDJVAlN/DTP/3TFMtT8P7kk0/Sd5944on3vOc9ZLla5PgOFq12eJXsI70nm/vpT3+a%20TB7lAWQ02/p+a6Bl9FRAh2RwKWan+JqsvJSqW+pHOey2PC390ne/+920TToRAfMsc4q1ZX05QQrM%20P/CBD9AuRvyi74re3oc//OFTp07de++9ZHxbvsYdik7LxvcTn/jE+973Pon027NoL4UQPEgt6777%207qOr9PTTT1Ncf+TIETq848eP05m2Jy7ntUM6atHS5LQVsuxoo9aYMrVtb0OQLKoR6rzGCuktInMR%20z2xq89ew7S1Xe6vm0SQB8nPVOA91rarDIJ1GwGNR4+EuGsPUgMfw1NJLVyyL4zFRLPtUsoM1a3qY%20WpKKOlY2AK/HPOyFw6Nxut+jWLnQwTx3ZmmdZnWR14XyytBSZKwLNFBhnXyVC109OQiQA5OBBhsB%20hjnJ6hWa1lAS9GlR1Qh6Pa4KadcWsZr3IzIZ5bwuXNYcJVOm6Qu6vuOOE/c/cA+dWjrdpiyBwrtM%20xaljdJSopOOrCEB7YDYM1wAoAptxH88V5i5A5ID9p5CTYm14DOyWTLwXYljeqVTgQVK2TgLs8ZKp%20Zkk9pcAwcwMe5Ncuwuw5cHoazN6h74E7xffJk2ezeVVmdEdDZVYTZrV1ELjDdrhcqmJIiYYtpBNX%20vSjqdxP0zbkxnVcMT3d41MZqfzyt6vo6xn1re3zwhiNre/aNNjfPn79w06EVP1Avn7uUlS7Zb6it%20BFFO1r3MyeiXQY5ImG4yLJVLoajnFYcPrT30wJ33nLoTmAcH2kN+CH+Q5kWWKkriNzanZOIZE+76%20UYTcrdIUEpmKQSiAYfHIjIPiOIZxYWfxuADWCTnCKnLsDWtrh8gi1qWuKopoGAxP7jPZnmyz+ruD%20op7BMZKnKjFWqgPOMmo27qC3d/3Epby+R8kUQngvCeIgTelZ07E/ZGgS/FdgnIQ8gePv7q4cPmBH%2051+ep3nQ65JfLZSO6Ne1xwA0K6kpkkrlNtN9UseU5SKBD/A+HmedFF9QBpKmWRHR42gGqysDn5xL%204MpEHJ1PfxA/+tjpra3xyy9cfv7FK2efuzDLRka44yjIixKGCFHk40wNw2feoJ67w2btUKNurbNM%208L///e/f3Nx8/vnnyTyRtfrZn/3Zffv2tcM7y2oYO/Q6xDwcPnz44x//uDRmW1nRNmyXD5O1pY3Q%20vm6//XYKh8k+0h7JRIpxbxVHWz/Uomjok48++qi8f40VW7xpP09vHnvssfe+973PPPMMBeyUhdDG%20yax/7nOfO3jwoBTc5dh2nM6Ok6LDk2ZDK8u3w5HQT775zW+SEaeEQCpCdK3oitFO6TSlZNRO6r6x%20cLYS3KfXCN65C2zhNUbf1govqxUqgfMvWrtynK8hW14go4RMphllUjtfAoIXrSa5rszIJ/B5K2TC%20nuO1HBKtgzHGazlqFhc/kBE5rq8BFk0eIaeQRGs61tUkUt24IqNsKFh0KETPKSA3Tq4oZnOKVGcZ%20JvVSU+ZeVKJYSzbTBZsUQm1M+1CUElFYVhd1hV0HZJRBm+Wy4zUe+jq1F9g45Kyffm9pm8WJY8cf%20eeihThKPp2Na0NzX1MDC0d1xe5UblF5kowi0inURFpPCZqVfGBhwCNAyO5vHNS2PG9khIC6eKcsJ%204PyG7HTMQiiQQtVOaupp5GmymHRwynNnVYaBVArQddlNgm7kUNpezDM3Cnw3xuC9pypASLQPqTsM%20hZBfCoKI0dWNn6VjKGvKCopBP95HuWYSzmepzwOnViQUyTy7kHmy9roTqo4FpUCW02NDofXRmw8d%20OXr48pVX9blLjuejG52XYQR0ou96dLvo4SKLyeIpusrJ0rkPPnjm3T/ywN49fVgoUyrIv9ExGbqd%2066Nssl7maZ2lFRgVHMydgrKScqqiKAsTuBFnFm3hsCGZBrJKlGks2gWR1bu6vUOrK3QE9HDFYVSV%20NfInStXoGhV53I+SOOHiXafUga4D2r5yfDFgEOLQqGjGcTJIehBmrPN0PuuvxElM934yGo929+NO%20J1AYUMh8J1wdrmYpBRXmht17rs4mL1+5VBXlnKL+vh+KAQdUwXDWfG2csOHwM00Mz9xHeD4gLYU7%205XFI65iyoq3l+Xw83u71EvKIXdRkyX4hhcEoR2Tvuf+Oo0eOH/nOU//ylf+4dGVTsfH3fY+TRooD%206goTxf4PIjohTUsJLX/sx36MIvcHHniA7KM0QgVj81bULegzFMKLgW6D3Hbliz2lZ5di29tuu00o%20AVZXV1966aULFy6cPHmy5ZB5I2UM6cq++UtK9mRnaTvkP37mZ37mH/7hH86cOUNnRPuVUoyc71vR%204tihtrqMyZEtnD17djwe7927d8+ePZToUG5x7Nixb3zjG5cvX6bgXQ5YvvVGeyHrSHkbI3aEhBex%20TM2F1Jbicdmzti3cRa3cLofzy7jSZYfXjtS2W1h6tcfGiTPzPrjCXSBbc50dDlW8SxsitB6lHYYA%20WhpyOaAyVF7lscAk1AS9IuSQs0NrhtbPAL3G3C1VHZgyQmMyD6eVM7fRlY18e2MeON6gR5+Zakgk%20qShZXV3ZPcsMxViYOfF4JXkoT9cYYi8zABYrcUEUwhdFdvrM3feeuYeMw2yWQmDED6sMTDAe5Qm6%208gKvdv2MqY9jVXad7cSu+3aOFge42GAxUMLy/MIN5rU3L7yqTpykpyglIXMFybwILAnWNypjor9p%20XW93kEko1HtMHdkqUNrVZq2XgNHGMbFNIkfPIUNXodgedwPll16FESIfTksYBbgg7Uq3GhT75NU8%20lAHm81mZA8IQgTsLR0h2nWwsg3nJhwjj7+sofy9fWT/3yovHbjnQ78dhN6CdT2bb4wkFmKkf0BF1%20AjpjDGQBluWAQTKazWeXr0xuumHlQz/6Iw8+eHo4TDCAVcwTPwwoktfkLarxeD66Ok1HeV2h6G7J%20npU53f8+EMTIzej6UdxaAc9gQNrfiet0VnLSR15/ViAyzUpa22YYlTfu27OSRDjzIIbKlE0pVYI2%20S5GtDTsrqz3aSJHRxsIA+oRBPOhQxDybjWm3zH8frXbCmKLvMtgaAwKTdDq14yVx0IlMlTidxKXs%20ASF5HXaijtal69d9ZsI83I+318mtF9HKKkUtmdIoiGou6tMJGAB+VEOQystWQGW1K+BIoVYSdDDj%20kF2KkOrKz9MKTjWlK6EGvWq4OsCgBEqoPvm9LL2aBO7jjx47eXzXs99/8amzLzx99jLdltW1gXLD%20yazC423dt60ltKw9LVRi9JIyi4R7Yg3fyqbauXyxZUIq0NoXoYiZzWY33XTT/v37hSSSQuPnnnuO%20coW7775bLMh1Zfbe+qstvkv/9pZbbiFfRY5K9L7FAl53mOgtKkntKOOI+RYgDe2CTpn2uLW19eyz%20z544ceJNNDqWD7gG0WktrCB+gHrEUoDcTqG07daGdYdpgd32n5KO7DDBO/SqljOw5Rh8SdRF0Lw8%20wMKWuq1HLbu01pe0v5UPLBgjaAuASFMgRbFlHFKWLHIJgqwu8aBw35QsJ9nYALFqpFTST/zdfd9G%203dT2vzW9ujF71XfDGw4d6h0cVLSmca0plNnampShu1vXZC60H9MVzmpn7jhTR1EakMIyBQFl9UU+%20v+XYreTX19ZWJ+NxhMYMT7kgq+BWAiWXETp1Ifmfcqaqjb7dOByNDvp6zQ99hneCs976pRvMbHi1%20VK9mZlN701lMtiTsBHUQQ0QJfAYhD21NqmLT1SPXFh5z0Dq2DMn8e2BeH3TjlV7X5Gl398rqSmeW%20pVvT2ZyWRJkaYDhccY6Uvit4U/TIyXYs5FEMHGYUmiofb29j3geQEvTOed4FFXNmGwoSypuV+3q0%20jDp8aBWcjOBGx6APbbITJ/1+opyi1088NyRnQ7eqwGAOHb3eHm/Msvz++2//yI+/5+SJQ1lGKUnZ%20H3Z9cBlWaTafTtPpON/aHI+2RyYvHXC8oaldVyWF7TZK6mxudIGZDZajwaADXU0fFUS0UB2dG4jV%20kpOZz0umWHKHcUAXks6OkjZDD4rvl3WhEL/WUYCwh3I4yg94nI7OORSux9XBSlYEeQaxC/JtFK7n%20WeHUndDrAD6UFnEHY6J0DN0Ihrwua8xgKcqYCtovOQ+v1gfXhpP5npcvX4UKO201QkLgMQNeLWPY%20teAKGpgaD5Qs6J5A6rpYphwOWdWUbTSI4k0OEdocwwFWdfudbicCDgBtgIyOQpny6A279+5Zu+OO%20k3c9c+HL//T1V15dJ59CT4HvLJM6vU2D1a58qRRLr1LougRJ8la2I3a5hau3JJRismnJUUi7sbHx%20gQ98gH51/vz5Xbt2kZWnvVDkvqPs8/aMr9TrRdGU3svoqRAbSOC/zGf5Nl4tGWS7BdrR7t27Kf+g%20jb/44ot7+TWZTJ588sl3v/vd5F3aaYA3VJQVZSTXqzlFFf5qMFrvhDHahsVxiZNg+cBavP/ra24t%20fdsyo9yO2t3imuNRYkr0BekHew4ZKFsmChZHIh5dXu21Zb5V1AdgOP2whWliZYA9sQADF5sw+pjv%20mtB3MLtUFaBZ9GmlQQXa0dNazzrd5PB+f88abVZRkDdO9TibXy63Ktq+W1iVOFHoOvTFUW0AOVcB%201h7ZHjqYYydue+C++3nGfI5R59Iti7TMwR9ArkJ7QWUNVrbJXJt13XxXND3sTm/wxwdttlI55Apc%20tN5wDUovyILuuNvZSJJLlb00vno1V3m4PwsGpXFLLybrFbs6Mls23wz0JNRQl2Va2hrc8mSJMWuk%20Re8b/w6DQTSkAHJypQRvglc5lWKmd9hxjxWgOd8XlCnkP1ECAuMgrTF8TKFfzO0YzHZysRdMyo7f%20MP6+LnIv87RM0yoKVce5cunKlYuX6ebsGiadKHC9UIOotqQ1EpJNo+wgTXft3fXR9z72+I88uDYM%20y2ybBS+c+XhKMUVelNubo+3NyWRcTKazdDZzyspjd23RIcHRTifbKDHQe0quwCsQcJPWSOnRWEy1%201abBRJAnDtxoMFiLoy4nki4HCqzXUdlAkAnZDEsD2lr0vDDfDSt70E6C0Bv0+50knM62p5MpCwb2%20fPD1oJeVU15goqTTq4qJrul9nhdVnMQG0u4AiZa6pEtHXvG2m26ulffSxVfpCnvdrlkg3K0Qaihn%20wYKz+E/MvJQybQNGaGcErcyboFsCyiToGpC/Ym7rcthP4ggZIVBJAS3JeZ5bFQyG/YceuuvYyVue%20/NqzX/n60xvrm5TPB+7bt1YNcIqzbImdH3nkkUOHDomVXArH1FsJ3pdnTWX9t+aGXl/96lcvXrx4%201113tcOxZBYPHDggBZnlqPBt+yoJpYXJQKoHO4aPfpC0oD0vQV6m4BHKb775Zso/BOG+Z88e+tja%202hr5MEG7/5fGHdj/KPIxIicc8a5elGXUoswO64CeUROTy7ksl7xaUrYdvYc2sm5/u9xvWLxc7uVe%20k5qCTiUcjiclxuXO844uS+s85Hik1yLip6hEBoC0NPtFf9RzbeSVGDjQBcrFARMQO6aOvcgFO3RZ%20mJLJmgJb5/Rgd2NnZVj3O2U2Ww+qfBB2+91kPo3OX97ONAXPA6t94+auN3OdicPVWWghGXvzLbfe%20d//9vaSL6R7aWwbmQYzf15l1yIXoTBfatR1VDPV216v2+9kBd7zHbg2rzbBOYZ6cOrQA6PmA1qvQ%20Qlp0JRzuDsJDqt4oo1ec+avVZMvvV3631E5E1q+YdKvtuJp5urReWAQUJsesWugW1fzK1rRIi0E3%20smZeUtiUBCUlQ0EYgIiB5/t8lxn5F6meWgiuuA19EGZlwcvDLPtA5/meIKoMaxiBgg4VInVdDdWc%20It4iZxJ3p8p49j+EQpCvdJ7OgMV167KEku+B/XvuvPPkvfedPnb8qO+qPBuRG07CgIwz2WOy+1ub%20o9HmZDyiAJluGWVQgIyCsRokloY1ImsNiQkIWEO5GmsG5L5ArKLMFWinKCvIQJVljmkGUw36K/sO%20HPDDjmJNbdukohAz0uSU5iltqtsdZAXGjKz0IkDIjqEtCgYK2poihx14NigrZB4GKhxIDSV4Qm/U%202Lycg0669pJuZNC/RGfF5TGtqtTdOD5+9Gjkh5e2xuQXhF0PHTDMcIArT4mWvOi1Mn1n0wlrWFvd%20Bfy40awPvFAFtdO0YRGhUGIzKmeUWnR7nX6vmyShD+JNz+CKUEZBF83sXht88P0Pn7r7tm99++yT%20//4NmZL9QcL2NrijN2SbKNKhmFRmR5d7m2+xgr9zrFHwFVo/99xzZVmS54jjmCJcEVd68MEHW/4v%20qbm/beO+LJsnlqjb7R4+fFgIYeRIWhjo23gts2PSaf7nf/6nMOQIR/zp06elfnXy5EnKUZYN65v7%2018WWuU3DEc1ChEbgizwh5DSqGS1WZ7mqvlyHWS6si4drMaOtCV7+pOhcLbYgUJoGEY/sd7HlNuRf%20HnLeUcG/FsJTEAo+bIThIitipRpJz3+QoOjDUysVtFQR43tMDlCb0vKS2Lg6ubI5I2MRJ74KdFps%20Bk7W8ylDL21YHr1x4Mb6lYuz2oWoQ1VMg4gMacGqgeBLvu3kzffee99wuKIx41OzHqwp85L+LyBT%20XWZe4GVp6tR5z5kd9p0D/nxXublWbQ/MNCYrGKhxhDpCbG1s69DUAQyOQVknT1fdTj8I91MADNDm%20dlEHBYDWnldnKtvsVtMYTLJ1TpZMgUw2crsUERfVzM5RL9DOUJcZeSCvCphhkox7A/dmM82hrWiI%20LhEm4jdNP48Nm+ss2Pc9jugNTxigiBOwRtZ1uGUGvd7qcLWbdFkEigLTDtnFiq5Qns/GebcbUnjR%20W+0cP37s3vvvPXbrUbK5VT4yHkOR0HXw8wwVm+2N0eb6djotKA3CveM/gYSuAM7y2CmPWdMjyuB8%20y9MDPN5WGZZ+pJvgtcwDVVH2kvjo4cNrwzUU5h1ABsFejV46KhzpDGT5vZVhp9tLi0ktl8twK9NK%20NVOUfHFiKBdA9cJBMxKPMgXqeVWGnWGysro6G2dXr6wrL3HULpFDMDxKhsaXCsqipkzmtkM3KnXp%20ynzuiJWgVMTI6TX3iXlwGCbTiA47C/DBAgNvG85UIQlxZdLJC8CAWmvyZ0VO4TtFHLrX7/SGScyQ%20CjL+3SikY6iqeRgnBw8M9+x+4OSt+9cOHnd+4Jes/Pl8/t3vfve22247duxYm+m/RYO47AbacLUl%20c59Op1J+EWENyQmSJHn88ce/853vUNhLUfxbzxLeHB3U2iDaptC+t0UV/wdoPrdlGbkyly9f3t7e%20vvHGGwVof/Xq1V27dpGhv/POO5955hmZYn3zsH1npqIWI6MipuEsegOoujZAlzfKbJZN7Q5k5+vF%20bJelzMV6X/MQvP5cATM46vUuqq35LPuVZcsuewQBCSV+SnOZic/NMBMwxm9Bk13xJKDWLtpVKgT8%20wMc0RmWc9c10NMVsInmIQleup7teTGa8BmDQW40607K8tL5NubrvhxSk+ajA+mVpirq884677rvv%203m6nC151Ge1qC1hMjAw8krJFOvHz9EDYP+gW+7LNXdV2v55FTkUHVrqxqkPukqHKj74BSA7QYUUe%20b6D7TBf0SNgv1Gye1Vmq42Q1LCceOSEz99GW9rjXVrMkVThPKV40dDk6SYByEoXOlnITKaiTOVZe%20w9bpyOAC6shG2Wts+2JWrGkm3BhOZR0u+jQ0QeLrfQhgOddBy7DLhHUxGlOV7IzC2Ww+2t72Q3Vw%20/wpZycGw+8gjD505c3e3l3BsoUUahkI+MPdk+Xg8nY5n4+1xOqGbYmqwoVPITkF6HvrkBbikbMhf%20a9XMfzssOAIcKS6ZaXwTmtUg4grz+bTgwf1jt9x66MBBD+Aon0JYqINBO1fpIoXKH7icg35/APSt%20FgCL4uSwdhecqJj34/Qz8EODljS5AE0PB74aKowNYyjEi+Mo6YTgu6C7gyFucgOVciP6agiGTUVh%20PT1MR/cdmL7yypxyQDoQUTl0hYO7ETe2oLAW92pEYWXRFlONjBpXzCjJqAHWhP4Oa9cykFyFKBiV%20zpRSpjSfF8mutZUEQBTXijvwTFWk0uo8euPugzcfcd6Jl2iT3nfffRTqLmtrvBUL9UYbbL9LboMs%20OG1ZSICFlYWOn4yvzNAKNJ4C/JZ+4Ad3VzJE2m5TuoJv+3TErrVfJ8s+Ho/JEZKLoviADPqZM2d6%20vR6dkWjs7QDbvGk565ounlpUTloz7kIfu6lxSelM0JNv3hleRvGLy2xrKTsC/GUNVWVbwSX1erDp%20cm92B7623Z3UxGjpIJBkcjBHDCyAz7z5BgjvAHUhJBZMyeQyysaiDe8NOoljokp7585dPbTH+sbX%20lJkPu0XuXJ6sv3JhpJlLhYxSFEYOCsF1nur77z/z4AMPgrW/qCjP5vp1M5klZ1PZQAX9wMnr7Y1d%20dX00zPfqbKBHCfkJi2ASkHXjDzKZN6ds3rhc9ahR9GBgMwhdyJ2Ua2p2JKhmJrMFpft6Mr5S5xtk%20HioQFcNwBOCPBb9CUSGYVwA4UmpeM+d6RVdHLAQ4ZFTDK7SwEa4M6KOg7jSKLRycAs3EiiyuXZga%20tvoWMEzwbrH5UNcT65BOt/TRHaZLJeNOd2l1rdPvdQ4fPvjQww8ePXoYhUcoiBi6NRRilyUWT5GV%20ZNlHWyNKPQrE7zghjtlRYU8CDBezhinrcDkh1y8rllqsG0kYgJlQTylyjXkiR6VFlUFvS7tecPDg%20wcgPk6gXu6pIs1oXFudC18cpS+3ywBHInsMEctNul75VgNMCNAwQqIPppKsJPi9g/m0dhBH45jpJ%20jK7kNJ1Pu50I6n2mWlnp1ZabAD4lcGGalo1wJYarKLPzKBv0A7V/157zV67WsEeVtk6EfBM+Sa5u%2005JC5IPBbUEK22sSOGI1PUpfC0hd2bgbxXFHV+AOpB8HqqFgLMoq2xrR07O6onvdThi6PuM+a24P%20WnBTZ0ZX74g1FPOxe/fu5c7h225v7ij7kJGlYFb0jIStV/ZCdnDGr3bSynmHXkI4I5SWbU7wti37%20jpOijZ87d4786x133CFGXNIC+i2do0xpvaX6vm0W7xIxbws8b9AyNVfh5eCX5bTe3LK3J7sslrL8%20leW62aLqYpnfpRlL3TlM0IqDvDaEb1O0ttvRFK8sBeS+s+AXcxjizFgVkI7QBqI4pOQbvE22JNvk%20+3BspqAlFu9dHYbB7jLffPH5VwId+VESOB2TR+evbD3/6sbcBGFnV165ZQ4YMm23yuz99zz8yEOP%20dbvJaDQO/ZDMODSk7cJ5Mll9oSNt+k5xtVtkB2P3oB11illkMVmb+SEfIWVhTgcDNDBOBmgUYaoV%20VjZU4xEgm9JUmyt+cEvU93VwYVpONy7oervwdR0pVweM4CPLBeFlHxmLE2LymcwQNokJXoBCyD2B%2079hjKT0g6kUXgieUxL+6ouHB9JsYaGLOf8MEEcYuwLK1I2V5n2eu1HVYIZXqdLu9fn//gQO71la/%20/e1vXz33ClkfimopnD91+u6HH3pwz95dGnSQukZrtGaFKE8bO5uk9Id8wXSc5fMMRMwsCCilCD5Q%20Kx6JB6llrseRQvNCcwb+nC6HYU2wGhdUFRrwE7Kttxy+ZffKnsSPo6hjywpzYoBVst6X56HrUdch%209Ozr2WRMV9fzY9e3UaykIwS0UTrnqM2t6pLCoEGv3+n06LjydJbNKf6tETPUmHn26sIFTCWi4ynL%203I3ohxFTmAZcBVJSPFS+t9rtbfrbkyybF2ky7IPyAvAlri+aa+iDJSQLj3VfU7hpAgoPRPUsTcZ6%20l4tCjkgVg1yVrttsmpf5RtbvDkD51Ysj7oX4HnhqCoa+v3Ohbls//UFQg8vxnRhWiaD37t3b0j22%20EA5BWbREYz9Iz/P1rFgCWVmuJPwgr1Yam2J2obs5cuQI/VPICcTES7uiwNT7fwFyX7KyEhQbmeAT%20fnSRXWuYw6xqy9utPuLykNq16uq1ydWG3NFwaNfK577Gyqsdw2iI7cDmgoh7UbIxCJsabc9rQt3u%20DtMPx4NnMmCfTYZNe6Dk9YWTbOG1aFsYtaQgqgYPcKEB3sYKoCeOYkUgAmt76eLs/OX5MIoDV2Vz%20OvehLntZ6lRZcWV7Vpaul8SOG7K4d0DhWzce3nH69Pvf995Cl9NJFvgRnX4Y+pi4NKZRAORKqLbd%20ee4Xs3qX6x4bhr10I7CaMojCC2uK2VjcL/DyyEk9kMgExvU0nBQ6FT6Tb3oI28m01YXJYuvuwahP%20NBptRel2FeZzF5QqiQpjoylUKeCVqyTwyYjHyos9FkjUUoLWTlOS9VoiT2HzZJ58tWCMwEAZKsNM%20V8VlGYkN2VsKGTMXPwxTZ7nqumgZfnLpOSjKzPV3rawNr6yHtCZOnDz2Pz74vmPHbs3LdDqfQPkN%20rM+Y1K8gbFHMZ+loYzadkJXM0hmF7SUZXh/D/+iD8/wON8pYvdpKn0axyTdcyOIUrQnkyf9Cso7i%20XN8A9xOUtcqyamWwumfX/gRTTy5ozplHg6Jdjc4pBbBOXoBfvwK1sS0q0OGypomPOSt6Enw0qKaz%20WVWW9JP+oO/6wXQ6h2flxAdUwJ6qStVJwGfseSmeUMiSBJXopmon6nQ8X8Z5EIXQzR72BrtXVrdG%20oxrqP1AO8uNQOgaoWdZCjCM1S5yxp5zlyoyIYYIJzeeSvtNULbmBJmU1mQGnUyXLSJc/qzGlDajw%20oN9LwIEIvuUqrsMkfqesYYst2bF037ZZbEEalAhub2+fOXNGtD6W3QbFua+++qogL98py75j9KmF%20A/2AwXsLKj9//vy3vvWt22+//fDhw2TKNzc3r169Op/P6VxEykO8muAv38S+gyOxKIK4avLmZmrU%20aXQCeJ9c5PBb6KFsc7kBcA0207LAN2PSrtNSOYocvHgS4V6XNwueSCOhEARBoQqs2ofACnUSI9UX%20xRtBcCq2GJJnoIYJMizXkYoBj+EYUVttZJ5E64nHQDzLhKkFrcxOECBCQXU3ZPJVPy02MSfozCiX%20nls11XGUJBdH65iUDzthr5trRfG+70a0hzCO7rr7zocffgibNlgsCNKB89KqGX/EKXHPgpt6+dwU%20092DZCV2VJECL+J4FDBCM5pDZhxI5IK6COxmYPfyMMukWd6UDRr3DgH5q0rPyUNn5lZbkZrRQZWA%20/gEhzfujw+tBEzdI3bikhz7kAkUnIBNnY661SRNdNQBYaWdLxYVvoBHzjmDRbbjzFSZ3ETKKUoqy%20zIRpQfMg6inqOsadzuXy1fVLV65CbgrQFn3XmbtOnjhx96k79+7ZnadzOGA6xZoMGVAluq7yvJrP%208/FoNB/PIWeeadGnZEFGlNfBwQ6EjMZeMevFqWKL9faUKM+AXACnUsG+kbcEnoeZ0oJgVlQHDx25%208cabO1GfdbtrMrjgtgTIPdd1Hbhg6KRQw/dF54VMeYcSFMuS6sIiQudOdrDf64lg5nicFqijmNBj%20qibrIkesnfmsGpDNjDpzj3KQaRx75PzBKgr+mMjx45rJAxoYDtlB5R3Ys3eazrMrl4qyiuOgERK2%20LcxdyAcWfAQil9AWV+U9psGgTcPkY1qWQNNBkw40rL4XuBGoL2o1n+VVqcmJDij76PfhwaLEj8J3%201iC2aLn/Esn3VrCDYtqERfLgwYNCh7scch44cIAM5aOPPiqWcbkB+IPnIq3cxzu1TTGpZMcvX778%208MMPk3GX06SfyF5Q7EuSVhX2zbdWsUpfVFXod3kIkPmRqaVsp7hYCvasqlJL/Ow70DLMri7YSSNw%20iQVkUoqCCFQ4vW9kn6RYyKB6rsIsXAo023TJEWBDE8YiNLAcwIByp1UCER64tw1vGGeZFHExYIzL%206QrwCgAtGi5saDWI0AuMZ1MCDsKQYvPAp0hOqcoxVR1OUzvNg6p2QjcoXFqmOvecDVqdvnsZNFEu%20WptkycC5RQF0ScHb6VO3P/LIQ+RNZ+MZpntAgg4CQAuMNRcYKrDigpAN1nnm6pFvZ4NBTKF34IRQ%20CdHKgzMDNM4goHZqN9RlSe4B0D7gwP2Qkktpabq2kq4g4u+gsM5Ebxfuph/kIR0PCAo8XZcFrSG/%207/j76A4H/lYn0N6sigI6oiDpJUhX3IovGO1YI8rlnqrDs0+N1ji3CowgmExT8men0nAS1k7TVGQk%20HpxDgJ6kcq8HhXSyshjPZ9Z3j91+641H7qR884aDBylEnc3ndIU8hs5TWJ3DaOo8K7NUz6bFZFJk%20c4rWNfiUNdPbQVmDrqf2uDrkLeQsQNLpiET6IgwwjDQR2RVosqD+Aew6W8IMKpR7Hr73gcMHDmOo%20TDMgyOWpYAUWNPI0ZT5PJ+M4CtdWh7NpWhZauVokCbgWZERUgAlSUHaHNFoOiRW2xWhu+CDlo+Su%20JrtZVp24E0ZxlFIikBej7XncG1o3oQUau3jmTNv2wrWve53ubbfeOnf0hfX1sBfDDsOfsfN1JVtq%20oe62uV1yra8pZFo/AE898960lZu2DssKlhi2CKTCQVd4XhZpmmd5lZd1t9cTMpJ38LXMu/KDYFeW%20/QS9GQwGw+Hw6aefJhcr8tZtWH3ixIk//MM/pFhYpI7eQUMsteD2LN42CLIdkmor1HTM733ve9fX%2018+dO3fy5EkZ2pIW8cWLF+k03/Oe97TNzDdHjoJiNQyYfouXL0jNWY+Jw+xaKjJ2kZZfrxd6rTG7%20IIps9JecljaGmcUWZZhGjtV5DdlME8urxTisasq1DbtJY8bVNYCGoxY6UQ3JfNMuaISzxRFaAVwE%20nieMOYINbgrKLgQwwNqoMKBQw7bFFy9vbU/yyvj0AzLkvUEnJc82GqkowoJnZTZMfiD2Mffff++j%20jz5GhmU+n6km+cAnamNbLD4iN1h61HgdKF5VGj9gEAzqtHVJ1hX4XYFG6KqEfUO/zeekGoMwWiZH%20LU944sgZ/29VUBpnazouKkowAOHgFqxo3IaOH5EtpO8Nu/0Vb+Yms9iGjo4dcBWUDK+rGTeibEvx%20xhfYtORU3GhuzXsTIDoLBylsn9YKUwGEdiGPej1uGcUpSTcK7zp58oH77j1y5EZ6wshg43TLXLnN%209BxlQxkEoIs0oyttK/Re/Lo0dVbaige6BBJozaJVBHV3VDJsILiYRSmw5kTRFbZ5RujAgDGriolq%20YCN9699x/OTxW487Gfn1IggSnl3GsSjwUkXK8SkWJ+PcHyQgxicHH/gaCZXbXA3B3YhCpmZxL9cl%20ixz6uihT1spDTOQDtRxSjJ4VVc+hNRrsXhnOZtX65rjQ1otNb9hlIQCXEUoIiMjShrRxXa0mnTtu%20ugWD9ePpYDfdTk9wMmiBwRch/0R+wCMGblt6twyWFDsuQFdjRTCWx6Fk9LkhlrANSTxXRCltckCK%205sxzCl+KEnWs3WnlvNOvd8S8tkPqooX9/ve//8///M9/8Rd/8cMf/jAZR6Aaquqb3/zmv//7vz/x%20xBOHDh0S8plWm+mH6lzazqQAH8lRfeYzn/nsZz/7cz/3c/fcc8+uXbvIoJN/og+Qxb/zzjvpfN/K%20lAC59jAOPd9d2CKHh/NqcAKqppKHUUfPFUP8RghIp7HUzlJyuNMHqDfoDC/GAoxUrVpB1x0H/1pg%20e2vj1Q7Q3eszJ/T5OLQiW49Hd1HobyYWPaegZYx5UT+b5S+du5qVhgLlPWtrtNCijo/gG+sdrLQY%20H2fgUDbPHqHXo4/SugGAPM89CDp53LyzC/io5bEB+Zv50Q2GZCwzv3Ijg1uUbtOX5IHHwlSZV+sk%206iZM4l+URU65MlIruG8GaELKEaUf5aZFtT2a5kDDuDJfwQ1GOtTID2Lju92OP1wdrHiZ33H9IjA1%20cgVpaJjao/AbQ0zNYEwzAmkWerq2Tf6RrDTMboKD5LGaZtIdVAU8HE+OC2y410HLOM5Nhw48fPrk%20Pffe0x/0ka2RmcRdN75TcQOHVqnKM53Oi/k8T/PKcX3aU1HC96kKkrzsbYBJsU2My6fqeMyrFjSG%20sdG7Ruomc8rkQEp8xfqWom6MGtFvfBUc3X/j4T0HyZ6zu4TItROCigiMb7Q7TwcePQUzP1IU91Tl%20zIJK31MNJfwC2At3UYud4ZQXN9OnDeBRrhzWizSUlwCfl21tbfeHQ5eVnCPfrvQ7V7envvX23dAz%20MkLNDgoOTdkIOgIl3ZoD3d6po7e8dOUS2N/8IEMO6pQ1Pz8+646IKmYDg2Cfy6GTyy4QN6bJZjkc%20YegF4zYBq7XIaDDNLL001aTfyN1AApfmtanS7J037u+UVRUmL3qtra2RKex2u1/60peeffbZm2++%20+a677iJDKcRen/70p/ft2yeEwM4P60uSgHYO9u677/7lX/7ls2fPfv/737906dLLL7+cZdmxY8c+%208pGPkLkXLD99UkTJ39BhLMaYm84nq9LIs8bG3HOWgunr4tmvXTHbxg9NeL5cjn99PrQ8X7pkipuu%200HURky0pzQ60+xLMx1nAtW1r7pu+Lj/kLbKomTDHCtVFXakwoSiQqaxKn1fMrl1rpa6KKi2rOvJj%20WshRnMgWirw4derUf3vXuygRJ1cagiwyxEi7MdeGZ8WAiinEqDpC92aiSmj9LJTUfKizYRgKpL4W%20gL1+7O/pDztJ7IVRUehtkAZT2FfCKvvAKJOr1Sy7llkzwrhhpptuIuNcHCENi92oS5F/koC3KnTD%200OsBZ1N6wiTBCaDHLK+w7s2YmVVLk7+LwUfBMEmj0uFKm9BUiQiWbdvmqkZq4VxnQjWOoh/9sQ/2%20Ir8EBX2Ncr8IMXJXhEk8K13ZLC0mo3mBz7g1GdQ0n47G5N3CRbUCjVKXpZOatI8r/46cjdP0fCRY%20bQAzqLFAva/MZ/O564ORMYqKbr93041He0lnsjXqIGt18rIEazG7XcOSSsDX8xVlrBsd5LTIyOIH%20LMLuLHEnOUs1cOwyRBbcmc0goR1FCf2sYP1isNJXVa8bVE5BO0g6ycD4YTIA5aSppZgkwxjsxFBY%20rOmaZLPVTte/8ej5qxuzvMBYFPd1FAffxm1ovZphA65nLshVpYnvOm0X0bazq8z4KRlXk4PJnBT7%20RVc1zNtkaJhk9YfTGrbD+jKYTgb9l37plz73uc/N53MK2F944YXbbrvtt3/7t8niDwaDVlEkTVNh%20l/wh9FUigdJ2fR977DEKH4UQ/zvf+U6/37/jjjuE04ZORIh6/osKPiKEUkfCzCFr1eVAxJM3Spps%20LI+xzBywMylpRqFbQPoyo6RVDcekej2/sbtgjamlPeuqVj319cnBDsIDtVSWkeHJnSU+3q/kIkvT%20rQApcPBL2b5uEgaA5LxZWlO81Em8sNNjQjWNI+exFSzSrFQc/p8+deaDH/ggCAiLeQjtIScOg9wU%20PArJoEFcS2sWMXsTc3LAa9AJoDWsEIEKsx86CpC9DgPbi8Jh4q0mURQGFJTW2hHXWVBq4QahcQWg%20TydTKDWvzPZ0XiLC9qTxzegRr1ahB+VuwGSSyDBvkMZ5+KAtQxTuV6hfkzdzICzr6JoDeQxospUX%20lpKmNCuFWs3eSMrbnN5x9s+5CLIRtghMI9GE/f6O2t/ePXu3Ny+73BtezOOh1k2nlRW2KDCsOkcC%20VOKq1XWeZelsXheFJ8AQVrLjg3GZ7naB3mrA+Q1TlrAg8ZE1JRrsj4Ll0iur1Gc4ED1qq8Phnl27%203NqWde4AAQ1qYboKqFegt8B86yh0+pSiaQC9FdPk1swCYBZ8qPbaKDy41plZSZnAhZpnFMYQvavK%20IIyhBOsYyvVm0yiOuiBy4sqK73v9QZdSD1b8UJK/idGtAwrf6bpSHEHu2Bl2e7Mkn6aZUL1YlpLi%20dGMBELYLene5bWoxlM3T5U4zvrVIsBeWXgCvi/Fk4RVetLVkRSE8/OGN3CV4bzHsSZIIwwG9eeih%20hw4cONDeIwp7BSUtwtk/hC/hZ29r96KSKs0DcldyvqLsIVBFoUtr9T3eqD0rH+ZWvSeyG0r+uMLN%20gTaiEEPtaKXuoMoxS7qrrw3S1fJUKtuPnTB5e81SNzBKx7nO4NLyxj0lQehOcH2DFWgq+E03u2mt%2084Sos6CchGVyWfBYK8rBQ7cT+IPKXul0kpW1YVbkFplwwGKqqswopKTVmp86fc//+vH/lUGfkinq%20GEdLAQFsomBjBFjP1QPhxqcP1mwckRp7CFyRWHsUdrmaqa4ArVFVmPiDXtwPnUBpDJpYyAlRnEGJ%208dXRFDVZLvJSYl4ZR1tvWpbjrCTj7aAYK+EavoV2r5eoIPG9InS5VVxXRsAtLl0FDfuP2kyAOI8z%20GlY8weJvXJHUZpXE6Uxb0gz6CsU+/4ppwwU6zYvLZfXd65VlkP5DxAKQTs0KGdDGgO1zisrO5hhT%20KkBqVQD/ApaFNJ3PyBMlEOm2FDYzc52WOXxWJzJcVmjvP4s5WtV2XRqmYoW+OkRY6OVHla5d30mi%20ZM/u3ahcV1USoSSpq5qrYqjUBxaCRnwdmBY413luIHbrUtTu8zKplwRo2LiLjk3NPJ7ksCD5asBD%204ftZlucZmJ07lCBEiangIcTrlyXaxUl/LQZU0jfSJW8anYrSMU+5sR90wgQhaqEHIXI5yitKB0rp%20grMEwsYzVhyubYIrPP34uW2efMO+eIEYcxdRmEzXNWFY85cIOjGK1JGWtHmHO6rvqHEXG6eBFoXh%20ptCAucubFxl0UbyjC9joiDJX8PJnftjOSMA8LZNBm0VrhOClqJSI8RLQ55sTJlN8EgQxY8kgdoae%20CkpzoPAW/TperEboB3YUSZYnYKXA3A460Qu59iIZ2kHoKIcnTkX8bhMAcaQFXTBXsc+ppQAln4T+%20OBNBQb5Dea3oa2v9PWTWZoeuiDRiF/kBchERy5XRZ/rcPK+0Cd2oU+nw4A03Hj+ebk5y6BsHXm1c%20Wp1AKxrK/AA9uufexz74/vdRuC9DcFz4qrlnV6OOLtrgHoVc0M1DFxV9MboOGhSFzMXQG/TTsj/f%20umq6ZOyCOkc7FwLlVseR3429yKu7ITDN83lWQUjToYitLOpOj2J5ALzns5RuT+b5V8bzOW2afsh9%20zwon5Ttu4LiJF/X9uBfYIvTywC19CtJdYFkMVEKM6D5VuMQ6gnsLIIZNRqOiZ6jiGXvg93jwhWu1%20QlqFp8G1zUV3QaDC/ePaCJMYmr6MllGvR8vYypQ1xj5d2oXow5S6TguTl2oGzvGCrCJEsk1d5lk6%20ndD2YrgsxB6OErIbNqicXjKi3opSO/N41U3flnlvzKJpDx4CpsONIreT2PWNDYjcev7KYOBB4A8L%20yOjKFY4X9CDYP9DthMALOfMcAHO42NCXAjVLfDUVoIWymBTbm6FqbA1YFqAYszmwhJ14OFhZWe2G%20CX12RpvtxYlWOsqrvuOtDPu6zIzCXeCkgtvBjJxy/QDMbh45lrAs69C6u7qDPJsyrhYROcvzNh2Q%20ZnRrMWRsm1pa8wu7QBkLidCCVrKhEHKbpIfTQrQMvOZSsqbZO4gt+T/xkuhVnjGKyuU9Lc6iKPbu%203SvzPkIPIMv1naIf+D9xIs4SCcEOZjTyWy3LsVhMZ4mF8Y2NO/m8yFWBFX4wbVWjqcf3FkvccMtG%20SEWvjSm9psDyWk2PlixsRyu4ZYBxFiQzgppvzoXH3puMcEEp054syJ+FnNLhleiqHRWbhtvZWVDY%20o6xoZLCWj4S1Bq0RJxOglqLpvs9n2asb0+ncusFABSuVjTTie1/MB8tGQI+e1noUJ6fuPv0/f/QJ%20Cos2NrdApbco9fBUIa4UC3Y3qBIjfCyGm44ohWAJBRGCPz+MnMDPdd0DBMY1IBgph72o1wUsI2Sq%20Fwy3w44EWVXn2tA3a8crK9Y8Qw9TbRflqNS5cWCbuBrO69qHiHdIxn2lNN4gsElQRkyCIoEZGpKg%20rGmY4GALkZo0zDIe+rEMLVIN9aOcALmNom4MmrtgIZQKCdsLXF90I5f4A3egZVB0o0yHfI+0X8l3%20FBVF6858bvPCgO6XHCCgp6ASI+sa4larCrpVNY9MWeG7cQQfzRGogG6ljWEWJSRGgEizQBIMjgMq%20FNKrvAqVTsKkE3YispngYsjp4qPzWpUodRhhhanKKlOmLHKAiyOK7sOErgdmSlnzyHDR3xX3wgNa%20C6wRYFBQf6rm83TUH3T37t7T6QziKIHHIAcNU+uZSIUdL6EQ3jcR3e1cKJVF4R1VJCiC9gdxmLi5%20djJ6+mpTQoF7kPQ2inxa83BtDeVZPNxQxluAlyRyl0DMeg2yiCtoqiUQlqm+Bu4q/WeuBDUINnnC%20PKfJg/jO/hDHuc5C7Gmp6mpE4VqiyOXf/jA3VK8LvyGbLnWkKWYjYrHmy/yR/0VbQqu68pyInijK%20Yd3Ah3lku85wPQMScHTeeChwqY5udxCEMTnLNbKB5ZSiDfClRLZDwUOSKnZBmENyOTCXKbp24Iun%20T32RWKIgvmWquS6OdlnyqWkSYMhS8M3Xuq70AMxns9FoPpqU44lTVGMDCHlAa8aNI8qfaeHToo7j%20KKsrN1D33Xv/f//v767KOstmvh+0KleCJWsmIWHNVXvqRnCQtejVcZMsCCmLjuKY/tO0TCHjp+ga%20UwoBhr5eGKkCAqdGZRqVlNI4U9CpGCeMK+vmpRbQT2HtxnQ+zksWzHZFcpZdo29rz4+6btitTNWJ%20VS+0Ibyhw9mYwGkk11bMBBPUjlta7cq0GgsJuk7jYMU9ss+qOWplE6pRdXaF91YJENIJlJD4OG3X%20YydaxoMMRqDZrldFhSKM1llueXQfBMCwfRSgVpUDZRBfcTrNsk7QLRX0OvhxjQD/xIE2Mup1U21u%20UK7AyQDvxfKvnuBAyIXk4HDQdm2wOuz1AuNQaI4SoKcozKvLQtnSVBhio5yG3itcFNsbdIfDoed2%20+sPIUR2QwdX0KQ1WGl1xdtCUR8EoQKF+Wm1vbFmnOHrTof0H9vpeQLdoNs/AegMeggAIJUoRXM4b%203CqdjMJ4EAZeVdoCOFvlBm6WVWG86ntxp0eZhs7TjJafAZOwiWkNsOwVsteAKZ8kTILYO2QVGwCW%20s4i8FzZdcSOlGeKTK2UWzW9rGriyI9X52vGExcaTsZcf8tdrSsMcLfb7/dbKvxWlpx/mjrG8X11d%20XVlZeSOr90avLM1Ho6khewZ67RCZKi1UKLdgjYCEypWgz1j7RpjOpszZwhD5cTOtTt4y8WObTyzz%20hbU8QujZeg73IAWk22BjvEbkVbWoHtVM2DWQgEZom9PVJjhxeHiKFSUZPOE2ySkfVVVhdCtLU+j/%20xENtQzvzSug/RxS4GVuijaRY3Sevq8KeOXX/e9/zPjJpGxubdKW4DiPz30snaRb0jwIO5KCXwXL4%202zJliqQhQRQH/YFbZSjzOtBf7nfifreThKBup3gMFQyLYvO8KLamaRO5A8vHrIyVzqpqCq0/aAnV%20nMUYZm7gcbEoiDva+vTZXi/pxtblmR8yzuBngEnxHR84Q0/HntcBjZRbgE6RqzAe208O693FuABo%20HFWoGKopeYrM+XJxwBHmWmuFqpnna65j3BmU7fEUf03ReZrmZVkVhS0LhPQoKNKtKEsHg1uMrnca%20aLazQNOD7coKG4KyzUhmA/OqUAdvaedwzSuecau5EUpfycoKPF3K63S7t918c+KFjtWKMxay/kkc%20baWTfDaOmPtCF/PYt7oYx0nQ63bIIlNo0O30e/29YizpI2maZlk6nc6mkwld1RqOKrt06cpklO1Z%20Wzl69JY9e4egLiCPVbMmFlyUxz0PjT6+rrzQred6ff3V4bCOQvLi5G58IPc9TK669BUmAg3oUQni%20rnIS2tRsHMxHdVYG3FCtMYiBAIYyHrRnMQoR8GyTzHtzb1a64HbJAkp4i9vbAGmapINlk+2iarO4%20a/b/LoMosbwQ/7qvpSj5v+5FpxCGoTRaH3vsMWF9+f81KjWfZxvrRWUncRx0ijIpAvDSAR9X82A6%20NwXdiJ/P14wcLlN4vbb5aXk6rG47rk0Fho19W39frsLbhYw7ZK1N0xpSqsHfLu4RXIB0R7iA7dhr%202YNtnl+O4LitZVknGf9bjDK5C/4uZ8Gg4HQ7HRX6xZZHRsVxorIAAhqdTaS8ThgFeV46Nrjjzrse%20/5HH6TjGkwmSJNsQMAi6yCwme2pG0bk8IC9TS5xrOxzsUcQIeAxg9r6l8CvpdW3eqeZjrWwShWtr%20Q0q6HDv3mOUBSg3QkFKTbDqaZWWN4UePa2x0aylmzOboFNDSJ1tOAZhmUARmFSg+DOPAj8dl3emE%20/W43dlEwoiBUczs1DCPH1cCQY0Cp47m9shzXduZgYB/ESugZMPMkl+FgSzluZn9Mbyoy75KyOIKK%20dk0Tv7vNNJO6DnEYIwwV5K60wzac7LsuiqrMdQ35C7qgFDWXBkUY0zDFC1BSoI4NgZnyON+o+ZTk%20mWAXajRPjnH5mHvCBvgTgUyCRoZcm+9XJQVx4f94/wd3/X/svQmTZcl1HnYz8+5vr6WrqvfpnhVD%207CAFLmYYIEhw38wIUvI/c8jhcCgUFB2iScukSJEKWhItK2SSWAYAMYOZwfT09F5Vr95291x8vpP3%20VXVjBhFiyA6xrXnoaFTXVL3l3syT3znnO9833bGQVINWvGG6SQJwR0u2haAPxXY6811NuGe2M6Wz%206Pj4SdfFWicUP3nmM0zSJEnS4Wi4t3+pqesnTx7/7XffPD2d053f3d17+cWXZ3vDVkM1ATE6kP4K%204fhkfTMAGNUJ3FQg77qgHGwThFmU5HT7OnRkBexjLBivEB9mzaQkCmdJ1IVyWVVPFid0+FNKBnEj%20Onu2zqr8ob0hQl9aDc6Hxf18oetbrtIvXa9DxuV3Sm+sL9EI33p//iL7uWMGHb20Xr2T9fMb3M81%204im+P378eDyGsNvf7eOIiDupI4kdHxqrKGkGyuNJdBYfD+DW422pZU+G8NWOZ87FXhZD9AKI26jv%20oy936VnvJPAMS+489gZMXg+Xh1NYAYNtLhFWvKy7X5PnHBuKLsZw1+nZcr//AT5gvPgZlxS0JzV4%20FIj3TVGT67UqjMYEoINWFcdn82ItVVzTc9pQZZGFcTTFVkq1mxdvv/xLv/wreTZaLpb0ftu6wtA7%20+8QLP4QfeMaj9WI3vgDMZ6KvLyG80za1cK8OuqYFJ0XZKI1dnupqSeErTsNslEja7zxKiUYHYH7c%20BnJNOX1tlcyVBRleMbOvCoIF3C8D+MfB8pPp3xSyMYOjRZwamTa13huFw9AkRnOuROGrwe0xkrIT%20xW9Z0RPT4onC1qVNU1eNjbQZZQ4u1wq1EOnry6YfCA185V5a30XUoidU9F577hwCfhi5u6CGemKt%20oS9hmgYz+i2kwTC5ydxUHTApVfalFYQc2TdJuUEomaQo+iTNCw1rZnqZABKZHl1grgmiDw7wOOBY%20zQErQh8h+tKXfvxHP/eFzdnSdob7A14cA1CVQmcVCLoIiuXg6Ff2ZjvDQVoUK0riQkpwZAY8rXDj%20V+tNsFqzy1qYZfnlK1ebVpfFd4bD/BOvvU6ZEa2VwShiUoHjygmPBXD65pvPKlR0HbIsCaWq1x2G%20FZpNNpqOJjur1UpGWSqTADI3ugQwaEMT4sPK4OjoUCXhW29/78Fy2XInI+auMg558JqRJjCU8RvV%2012dYicn3JexWXbUXs+N6jSfo+84FC454gZ7g7y1R5ofg3Lqu6ZrTwTubzc5B5XNRZ/9hD6+qT3/f%20u3ePPtT+/v7fSdhyU9qztcomKeESwjNaE9qNjY0JaEUJYGhHSKZupVvTxcrSNIxQH8mzjBZ22zZ0%20CZndrNCnM72lD0vVYuI0YCt7LqfDD5otuLnciDIoO0o49rqTigJ/1bZ1q9E6Bei2sUp6BXMGE/Cd%207xqAMgb9odcy5MKh9QNTwO2eX9lP1COUmQBa6AzhesdPetogsVBbHS42zbfe+eDdR6WLcoyegk/Y%20gpwBgz61nG9effUTv/mb/zDLBycnJzhHsb0pdnCd3aL+CodKxx05axOZqAApNTgnmovxLYgyYMdB%205LABOG1NRFd4OJCxDCeZsnkmzGw2ULJNIpcFcdBg8F43Yl5Up0Ydl0Gho0mapS5KOzqRXOnMk07f%206/Q6ovjUEv4zchDEYRQ0YbNAPRuwXaZhfJmerphTNpBEsUY3UKOHvG7odAODp6mnQzXIlcnSSkTL%20xYPvvb2gG/bS7enR4T5uAvQMnPOig0CdRhJqjdCBR5WJrpBoqnVhaMVgylnRf1cRGIC9ceYPQCqK%207JBORHfQUXBvMB+GSE9xGIcxeOKYrpfOjyihHmQ98Zqp9UEvHAcczqLDjPB7OThG7j0jn73VA59w%20snAYQ+auq7/4xS9++ae/PD8+nSR526KlAU4KgxI6apI40W27Xiws1B/KUR4mB0OYk0NwyRHewTtU%20IfSivf6A6x25i6LMsvTy5cPdnVlNJ1hHT1BHSVRUFR01zNbhNMRuVWA6Q8lyxJq6wAdhYOHdBABC%20Rypt48XZ4voLezBNR0Ep4v4Bin8ypuSjCZp2f7I7/JHP5B+8f+/smBaY4cp6JGPWd7fYXwBShinF%20PRHGBv0ISJ+99vxVP9BwbsbiCUZbHVh/5QP3vMB3z5bhkmt3Xh94fmG7z8N8ZB8Oh1/+8pc9AfHv%209Ikoii3O2rq7R6nmYAAVDYTv0IWxy0ySZITlQ8IOEQC+WJUdI8TgbFEq1t2jJRTHKgpj2h1xlLie%206MJdHSbNY1LFeucDJnEqpr3AcM5P+iEbRnB3sK/ph+yYLG3YhqCfinHnxcGtPI23SWVGrweNwp3b%20BfdVI4zhw1PHbfEeodS0M6oxwWA8WxTmb9+5/8GTjZaJYIY2xiQN5e4ZnWAUjG/fevWXf+k3kjg9%20Oz2TdGEtHTwWE0db4ahesJLH9+kcagkF247nozQdAITXCKcHTRUGLnOgaRiFfIGy70EY5hJFEJNn%20k9ANB3kW2khhwt0IDBSh+xjp9aYsTaCSAZMQYfdKp0Sp3cbaEhBdepapY58Guh70S0Ey6OKhlOkw%20VJOkTUSbhRQn4rJaUwSkSDcejujIma+Ktqop+MdCVE1RSrc7Hv3Y59KirMAUgleq4glaL4fOepT9%207GcvgeckjywpxfUdz5B2HM3sR0v+Ul5An4Y5oZ5xSdFdwzVJ94qh7qlhyXO73qDvRW8tH1FdYzom%20A25gW0vR0jKV3wuFmpBWIZygNS4ihOuh5/zijds/+unP0KkSBqIuS/hRoFrmvOARfbw0He7t7gd1%20bWidJ3o6ThLaSl3L5CLRaay2kAtB9CtRGOFE4f+lSU7R9exsxZOQaVmUOEbxq4DaBFyi0HpGCs+s%200aqQzaZziQxThXdgbBLL2WyYNHax2azmp+tN88qnPovJM+CmkDKoqJf+UYM06jSdHm4ynLx4+Xoc%20J4+Oj1dVAQpUFHIrlfseBqMA3DLjOrp4qiXFtaGA7570oyteqxVFfnfhgey2o+t8+Z+jskwQBJ4y%20+GHmyfNYlvHGrT7/+E+0Xnr2fAhiGYzzEV0TWuglIfnAqIhCNuXJFJ0o5lJAF8PhKII2uvHirDCG%20rDqkwQB0hOhcmpg4rhTTk+KQZdW5HtsneYqp3FJWmN5pQgvaAquXs8ulc+u6iOJ0f3cfjmrFurWI%20DgnMZNhnjDt53L5DDcK7ffZnS28a2bdKPSVGbgevzymAGPeTqnN0auVORG/fffT2nUePT9ZBOKJo%203oEeaNibD7SGsixfuPnSL/3yr+zt7axXBRzqWb+XsU4/x2eQE6tes4OLl1xxgN66sFrZTqHugbnQ%20kEmc6GPSxwlUjDEmiXwihDNnFGgEDStbpB7WiEwHXalN3enVplgXVRgNKPenTdYGUMFatW3RUmKA%20zhs2JIRICPXS22ssHbLpJJBDJaM80/mgGWTRUE1a7XK05OKTk3ma5fQ2NPuHny43p4tlkLhKNxRF%209i/tH+7scJkjUFA8FogXPJZEZ5pmmp0fGvKfl5uzisWY2SXWeafz/mj9wRZN01COKRkuG0vvqINr%20EQps1oNsJ/pByq0m2Lk47XY01lfn+q6KZJ5foECIMJDlrwgzY2mqIUXTgGBImaeI6/QkV4+u/IPP%20fGESD8rVBq1Mjakf4T0LvdW3Smih7E0PitNTesWD3akMSkmpkFJNje6mjLJAJAb2hVHg5WRQgaP/%20LnjIE+rsVdE0siWkk2WjDcQHQoLlFF/bls4DzSCES5FBZDv6oxyleUBGqKgGeVjqark50yIcs+kd%206wQz5xIHQsjavLiSMZy+bVO14zh/+eBq6tQ7994vJUC+8dIB1kd2bIQuNCJCKowYh4FsZqMGnkLK%20GbDbjvp6QX5mQrperoMbsdZLITxnlffg/y+PH/Ci+zu3l4XM4iyNYD3YaLiEsuU79AUVCrUUqbqW%20IxcouTIsijXPhdHShWQNemHapDamHdDZlqIXIC7lEwE8dsIIanqB5Tmfhtnecqsgw4PgQOg2IDQS%20Jvnt115/6Uc+XZXV/fe/P3/ymNLTUlvvyuCxud3Sl2W/z624ELTuO6lbbq4v2LoeztPugiUyxeK4%200u79B4/efO/RupFJNjNBxKUbaHTT1qOo2dTVq6994qs/+/N7e7ur5UpzyRrVcObocxkAn0GzVhbX%20rlnqHAZ0ho4sOotiZ+hPaLphFqcqlYj1hsW3OsrElen5Zp1pLMRr27qk7S7oQA3BVYSy91l59uB4%20viw7At0iTDohK2YyVF23aJpCEySM2Yw6smBF0wesAtcYkQZy3NmcPnQSt3G6CYIa5i11Q3cpRrNU%20npzO8WahOKQGg9F0Ms7HylJkKum5G9MIJFyOq9SoPcM3md6T7qUit21xvsZsWNGxQXSPkRQ0efpL%20/4NlGQ2tMENZA8pzGtrnBtZ/jut3PnhvbZ3PZ5fdOX082Cp99qqi3t5XehYVRbPGa92h/kff8loF%20Xds1dZml+a2bNyeD0Wq5sbp17Htke943iv1MDEW9P4zi8Wzvne/d1V24M4mGQ8otQ3CWtuZ2W2Ey%200XsKPGUEzJxryWcYvRWZYHrQEQLajn9aDzj8b2oTVg3byILSiKEy3XVxom7fvr4qbJRNeZhWb2n8%20295SP9bdD1AR3IkCefnSQWP0nccPGjqNQ2V6Hw7lzsX3nCflc/f/6QDhtqINW2uP7Yj4Vi9e/KAI%2038eP5+5B2X7MR7hnNMMaXkNPNEoxwyd5dLRpbQslaYhonpxUqChzJk3xom50WWva5Xu7yXRC3wmT%20OMpTiklRHmZKhIQ+N+vSGI3mU554rlbL3m+SZYUdAUSlbty6/ekf/amdazddq6/deuXxB3fe/Nvv%20PLh/v6Kk0xr4fKL44Iv6LI/KXEPpnhEw6MuHQp5LW7NEL8omtPRpz60re/fx8d1Hy8rEYTbqFB1p%202N9RRNlGstkU9POvvvKJr/7cLx4dXj5bLDrQViR7e7ACjd8yXpcVwdb2KtoGTYPImchqwtKU8yTC%20Uj4U6xrSgvRN1oOiDFvCk0F5EjJh84biXQA9e0JVAtQ8OKyh7BBSlk7pgg3TTEbxqmlSnjMqtFl0%20piTUSbEAdJwQJAf4VbRWdFpNRbLnxCQSzSBth1kt2potY5tskIwns8Ojg7/++jfOzs6ShCCfqG0b%20ZdFkOhiNd5Mk3LAH9dlyo1t6K9bIXmTEMU3ce6BAIl1Ijhbe0VCeyw1p/IaTW6L7D1IhDViQLRxG%20sb5QKN4K+vdy0oHtvxZbweh+sOJiakE83Q2kxUOnNZKiIBKeju3Oe+44SzumJ145ODrY3y82mwAy%20NRAH7eO0sRc8VT6gCYhn06mR8cMnxzu7NyFg7Jhlv00JvQLduR7p06Mc5yrUUoawVNc2y3P6QE3V%208FG+1b0GnUo2Jtw0dItlGEdM7LIGk+U2ycf0w8N8Ihgh+UnRLUIRfoBiy1R0qYroemZRfPXwaF1t%20jjdr3wOyngDj9eY52eTyi7Dn4ycXYxg2eFqpz1tPbH3SL9qUH0f45xf4G5igR1mGUUwnG3RFCXlA%203Ui42JiGEtN10UZpKpUtIagiKea09GM49lXR6PWmUzyHv1qZUAVJEqdMmqcnTCPle2FKJjaIdEHr%20rBvR8h1PKFzXVblYFRR102xwdOMTk8PbbUk5QZZk0ezS1dei9OoLLx0/fvj+e+8W6xUOHzhuBBwA%20uWGKbtN5m4iLVEyfZN30wMs9GgzcUkSNWo1AcLKsHpyUFYsNOJXDXxk9OkjV0i6uy/b2i7d+9Vd/%20fW/vEkVA51kHUsah6kwLqxqo2QhmtLHaDvf0KB2mrUjBcGhdRpCae42Jo9yF8h0tTI3+MEhCUKCk%20d8S8Rti9GccelUrRtWWmg+vw7Cgoh9n44HK8csfrTnAtx7aoaAeVDChaQ6QlTDFnynphUA5H8Vq5%20ZOrSPeFGcaDHaTAc2CHF7KazUg/z0XiSEVi+eesovG/LAkUwKe3j+QMthkUb79NnPjoY7+zYew9O%20j+etF4hkIqo3J/W2bAGTJGUflFmvQupzpSBwd+RHqULSHWp57sf4LCzYDqdhEdlz3y4/bSb6SjD3%20xG0/Cf+MxW/Py3GsfoQiBMppWjEhlOIkJZoUXUGyHCb5rRsvpGFMwX0Yhb0QhmMkw9L7gRfg5y4D%205XSNdldfeHF5ysNWPBvGRrG+F++VG3th4X7BsYzcM17AqAxFFgNNOk1TA95nx7Osjj8N4m2rw6Lq%208lw4RUulpm/Th0DKuFzUZRwfpH7irr8omP1gxU/H9u5uy/u1BvJDBPltcHn/oHPudLOR3tyWCcy+%20tiUvulRPj5xslWiC7VG6dW4SF2NoPYvtPNDTlXt+B4L+a3h8+BzmsW/XmiporMPYfUgLo2q7IJIJ%20fC8jg6AkYUO/RCzNByMoFDbIGiFmJ2KKEl3bVBj6iSmeNU3Q0ddSV9WGfnM2HUUxxbc2DjFoMpxk%20FAEIvQ0GEf0rydOyrKeD/aOrL0k1FGFUb4owDvLJrojS4bTeOzg8vHz1wb17q+XpenFWrNdoVQme%20oTW+RNKDEQbYCoKFpmV7PXpXsEiLk0yE2bpqH5wcH6/a1iSEcjWrLqkowSZilc3NunjxxVd++7d/%20+/LlK8fHJ8yfxMCf44kTgj2w0rC+Pun1RHh4poO3XeQIsJuxNSMN1RZlYdEKOzqQnClFMawmhlDS%20OqfBMQXBga5TgwAFixDuKyB8WC+JFcnhaPLyS7NNJ4tWU+ZNKXxru+b01LG/LJJ5A/JKCz5gCwEB%20lanBUeEGtXG7WTDIoFUCmX4LBau6q4p6Qe9+Ns2c3X30RNd1C1W5JG4oqpwVp6v19Gw5nFDyFQZZ%203BaNQV5A2VxomZAaMLvdzyH7sgyBZoQv1FhQZhnkmaaUI5YfKRyG0lwv6BP0R4TieSTnHS/6iTTb%20l19cbwJqRS8vL7ZmjeeQmdvJfPqg+wDypgEviaJqKzC7SZ+53hvv3Lx6PY9TzS7foR+BBmEH8Z0l%207AzXlSE60GnIzezs7Q0yZ+pT+OkiW9FeT9E+JfThtvGdW0rimc2FYxrj1JpWDWVzUcKjG73VCVuB%20iI7Ld/Q3mtd8usVZlLXBYokRlSTO4DjeK7b5crjrfcn4haXvQzBfhy4+RfxROtgZTjabEullr7+A%20XAsHj/WyYsHTA/qeOuN8+0Je1Lp8EtWr0Pj2inymNvNc0wr/K3xcvXrpR3/sxoN59c57JzKOkuEQ%202zaJjYihNyhVkoysq5kBHrJnhc2zhHZV0yFMJUkE6jjPz0CJTiXM6yDcrmbxNIrpa8L7m9Vq01UV%20rKbHo/2D2XQi1ku4R9MvDgbjGy+8MhztUoqgQNqj30+dUtpBX3e6O53MLt165ZPCdMv56RKU9LXW%207eLsbL1aEBgsy6Iuqw4kNEg90duIY3oPAVBikMpkWGrXdXZVintP1ptWWkWfKxRRgol623ktm826%20euGFF/7RP/rv9/cvrTdrttaxW2Eon5QHfjKTmd89X4dlHtEaplBOUD3XethpxnmWNYKtLx+zB5Pz%20zcMgCukExdwO5QKhdAkhIaW9Er7bGlzyzqUvI8LnYUiJgSKUHqKGvGzKytDJmTRlncFlD79GAM7B%20y2ks00sumtnGZamb5ATfCYxa+tVVXWVZSsF0PBrBiyZV4+kQl0cgcpXFpuU+/NlqdVZWcTYIIsps%20BIXsqqmTyKUyzVBvQbywF/DPQ27hZxS8JpvXO3YfWZbxDrZegllc2LtsSU4iOIeSwvt0b3MxKc7t%20tbZCQlvJOOe9iS1GTKsOxh5MeUXzkE4eOrjG48ne3m4kKRXNQ28qZb2Flu31cRF4QVZFisAzbyzb%20n5og54YphelOcqdH+cGMnsjTE7d6F9Bezt0jXZjKRpgli2pajrS+CNWwZaLw+QqlOgYzuWXTVi0d%20SwZdWUqG0dtwWZ4N8hECNxvh8mdUvTTStg8BSgxHa7jK0oqCiqXdHYzXw+LB/DgbZA2lA7QiNMfi%20rZPWeW7Bsv/S/9nqAm6ZaOzAvbWuPGeafhwkn9dHlIq9S1m+v7Np9Tt354TVwjhxdTUyuqhoYYo8%20i9Drw+jepq0rivaE1gGKDW9WWsYRhFXhGCpDFm7EMGQUxEmaodTaVCztE6P8bcXJaZHQ5kmGXVtB%20BPESxe7dy9dvpYMx09g7QryoNYPnFzM6SxXFtaYRQs0uXds7vMHK8qiUdl1dVzg3VstVU9WL+enZ%20/GyzKRanpwTYnTQVYepoEKTq0YPTB8drCnpRPtL0+TAKBMxUtTXtoqpobt966bd/53cOD46Wy0VR%20lK6fcndbAzIne8Wl843N1G/TRYSabZdQcA9M6roQQ1M9C9MjVNTaDZx5KOMHhIsREFrvFNohaCSq%20dzwLvIU4G3+y/jeiD52NgzCkK7hqV09On8xXCyjExDGdEdAzsxQ9HIYMuiAZ7sv0ioxnUbSKE5PR%20J093gy7c6KURmVCJExS3xxO6kWaCD0Hg0uhNUa02RZKl+SBfV/XjkzldE1DpQu5dKGazazoCXSLd%20uV8LC3Oy8Lf3ddhWWc4NbX9YcHfuqdl21+PCPkxvp9mCiyJwb3S+DeW+/uF8lUI4PxokINISsQkh%20hO5ZgYgQbRhHWeduXr02G46CVsNiNYTGL8o12itc64DpSeDqepc8q4EI2k27PpG2jqcDyQMZFPDA%20TuWhOqf7tuT5TN25r0mfTyhka2jP0sqFWXNLeSyBH8GeQYrHw5SVRbEuVmUHsTjJEnO4glEossGQ%20ngCjbsjofC3H+ZDLGu7bnCVg9TSQMinpxqjtIEr2RlPaATgNaEm1bI11UUsXF5quwXbu238it70b%20rlfy8A0Mcd5UsPbjKPncsim7Wi/y2ejmK4fHZf3krOlMp2RcdwxVMRcZ04qLpSk3mrCMlWa1mpcV%20rCN8BLJYhcILyTm0DHlhwNfZYZbHGtoiSRph1tyLkWlCk9jHs52dW7duRalKMwgAhrFodSNY+Mtq%202q0xHKZtxOtRUpwLQHKD0FjTNiCAxoM0HQ9mR1e8Uo0LqrJcnZ2tFqtqszmdz0/m87fefu/d9+6e%20LOvlxsaDHUuxlGAp6ptNlkaZkl3TvfzSy7/yK79x5cq1+elp07S9poqvpDhzzkPyDT4b9BIyFAok%20gW/TpVZnrkvBGTQdOJ6ce3vMhfinPA+fzwglTIiJQNjeC29ZrKEZb3orarii0RbWQa+wDH9MeByH%20rirXFNxb0wqVG1BfwkhYeK4xxIrkOFKHp2U2pzcT1w8evfsfP3jwZCxH08yoNoumJlBPHhfzk00C%20WhA4rHTAUiBqwFpxmoBehZKR6ARomJaBKhQnLGsXQzEx4amxC38r2ddouexs2V+wP9eCD0v+9oEf%20GDU4b98x+mdGopOeb+eDChNot8asF+5aFwDUT5Y+O5QDbpZiXAwTAtac1Lq7cvkys3eUpcBdtdp4%20dWbNnFqWLbAdD7piOJaeLU3Ear05PXk0SlU8GwlPqHG95KR05y41fhL6GYMxXw5nXVUcfVDSCGBz%20UXv7bFQM7WAE3c/16mSUBeNhzFow9K5jettJHOYDRbi9akoLn3EV2L7/0Esw8KiT83MHPAXNGhuW%20rbfQr55E6e5odv/siRgOwLvqRwO27+zZu+GLSu6CaRacG63xxBP/LYLnZ4bp48dHVeGVtqJs9Hq6%20N371UzfLN94/nlfDYdJaF4WJiCJCBlmqbl05oCywqA1bK7bzebOpCDrCcK6Cxh+oWVp0dVPAlohW%20amjj2BGO97K+CW26aV6uK12bqqyK9SZNFMWXSNGGohSa9ldBy6npakKmscxpJVMqW0CdSUdJAtKC%20gmUDD5hHQI10cijfMWI5LQJtYSQTuXs0PrgWiY5ex77xrW/927/57vcfLbLBjqOTw8YEcpCECJvG%20lFuYpipv37z1i7/yq7duv3hyfGJQqcfEuFIYP9xO77nen8LrEG6NIljsEXz2yLRpoDPQS6DMB/tS%20ZtIwp6RXko+CUBLU9p7GTmRh0qZ0rLRcP4fWgFc45JYx9i0GWDTHFRm5GKEfmol06Ibwp2irKqWL%20xHwIJ61uzSyfKrW7XKu1MjKtFg/ff3jnm3fpcgzCIBWHO4O9yejSJJ5SPBkmElORdH1gwUVXmMJI%206Sqcu4golAVIJEWGkiU6altoHIQyzRJK/7eJDFcJmELjCywU++jtPFXB+ijkLnnO1CvUMJ1V+mow%20t8C5iWGfmqnhUjObZnAR23t0ccrGoLVXn+x9RYTv9UFZ1AHGE3J3Vd0M4mQ6m+mmUx0lhOBggjjE%20+pZ8dTFChS8wOY34HilDR20YNNNhMh2kyg9vwVslonNO+nsZbMsVHs+Krc5iz2QRBnOlEJ/ZrNeU%20UwLr6y5NEnoiuqZFsXE2TlQXpgQzKE9t6LSn4M41F4Wi6CiHBmsvcod1bvs0Ce/EbM837gG487MW%20y8C5NI53x5MnZyeUitA96/31hHiG8eJ6zvCW/fj04Rn0lX7rPFDrRw0+Du/P7YMSR+Mo7+7i2F69%20vFNUnXnr/tlybaIWzTgxrDat1OU4GVy5cpAPZNM0e2pw7WpIUb5pbVG265Liu6uqbrUuNpuiaQD1%20zk6L5Rz+MxL2TnY0zg/3duxseprNaYNMR/F4ks2mqSCsCEaYImS1qcsa1G+CPgbFGGzThBYa7VMG%20ywLqK1DnhjSX8qJ5DGdYHkxGqDGmtA+aAv4k33zjjX/2z//3v337XhAPVTKMA9FozMii1uxMjopo%20c3h0+as//4s3br6wWm0062t6/V5URYTXSJXb6W3v3iT77QBgr5XRoeuiQNM5AZALUzwmgNA7M8zl%20oLyHXdvo/DLeeKKFYGwYcPU2wHyi5+HpoNepcb3cJY/KoHADpRkC0+vNBt5viIZhGoeRCyFFFktW%20MVNxtqPFwBrIE7aruWvKhDIdEy1XdbPRi5NVFDy6eTS5sp8lii6XiJN4tjsdjPNkmMcCc2Kd4YJD%206FIIb3UQZ4sTnYPgHnrHxXN5tz6tMJ7CLbehe8upC34ocmezp3OfPhyhwoitkr/oLbn5eJC9TxCr%20jnvcvLWlPQ9SLEXtjbxRoAhZ3ZIHq2LBptuz3VmkVFdTWhJ0ukVZjA1IvKAbuIZsvwjipANBUxuC%20KRvXNbNhOswyAZ3FOIoSlHzgnRfj5moWS+DjxJP+ha9Ob/u8tGwFLcXOQIqgbVUoPMOE3jxbLy3o%20gu8O2zQFizVyKYv0iSTMMaVGiAWnQyfdVi0v8GkNi6qzziWvDNcTJCXsvoOe/Qj61Tgbzkbj43Ij%20VHRR/Hq6sy36/gBYPVz0Or+qvb4DzgsDjW+5lRv7OLY/tw+sbNrItguaVaraT96azFL7N1+/sy6a%20tgxqgSW9LsI7H5RR0u3sUKraJEpDmTuyOnbjgTgI8kAmBGQbrGdTV+1mXS4Xm/XG1rXt2rIo3PKk%20dkf2+rWD2dVZXa0HeTvbGYSKwD9FxVy4uK0oIiFrbnVH+6F2mzjJJmP0ljZlwd0/ySIaoEMEDC0i%20DhWG2XJxFNMzAeO7IEkHf/W1b/zP/+SfvfPeHRUPCbqtN40KEy+NBOknJxdVNZ3t/8wv/9r1l19f%20FTWlHjy1zbV2FbKWfe9TY3kgylrVQUGbyREUVetGdlVsuixg2QBof2OfR776wBrijLVijMfAwkkg%207xdQEGtsy77DLTyPDIJFTWAcvcEIeQO7RUewdIOSRNt1VoknxeqkqBuRaAanaCIa1QYZkmddp/lE%20x5Nl2+aqiECPP4uSNB1P4rqlmwSrRQpHpo1YMmjT1Y+enDzeuHx4MtvLR7Px4WQ0TcIEf2LsdYNy%20LZ1EoQpSjrx+hp2CvIYDKxtc+4DOZBxoSCqpW0rvEsg9BOqja+5B3yflEHKh2HxBuevx5IVxnugH%205T1ZpY+k4jw16M1dPYGEWZn868qPa9NaTJO0WC4hm+ql5iNpvP00R2c+pkzgvWOcl+zUtq1plWEZ%20iSAfpHROELCI2BcR5W3wU3ikyXoNJRVs3S+8Aj699HxZvHfnndPTUzqJL13an06GFHyruoK7mIB9%20VxKyByrH6qpqMMwdoi8eJ8mqKb//zvecyg4uX8/zoS+Cb5UavaHH1vNaiqdPO1+noXM9G2TT6eTh%20aimDmFvEnlDpztkyYovTpXfYE1uOqej/R0/MVrJOXOQjHz+e2+DuWM0EoLMOCIeq7PJO2ry09+23%20TqrGtHWZ5lOhBuuyePvdxz+SZONBprsFLSXFdsqSNfeENHEcDmL2mTGZuUTx+hLh+vWqKjbVfN6u%20Fjow1dnx/ZReIHO0X+KwpUy1qcuwqqDEKAemLZrOUlxSoOV0grVoKN4lccztqABEOuMrrqJhyn2W%20ZQTWWgi4Kgr462K1f2n/29/93v/wP/2TO3fej6AQZauqzfNEYczIBHBlhu5INhj/5m/9zmc/+9n5%208ZwAlu/j2QssJlnl0cPuftbV0+G43USYT0eWTkQbuwCMQ1bXZrAjPE3Sm9ASXqQYTf+prNfAfwBb%20HQV8HkwlrFyz4YNsRbDBDD2sO2Ax6mBHwtLaAcX4stVLigKGXgBiljzAxcpQiikU9K807OKgtU1g%20ThNTp8HZMDPZxMq4DYWonKQDQ3RyOEzoCekKl51bVXpZbx4uNjKaj9OIMqjxaDydDnfGcZ6pEcXp%20KESWoVlJCgIsITutKn4DDJbRlTQqSthXQzWwvuHZgm2B90NmHd55mceLWXiRZcBYhB6xko9tgXxH%20+XY1LC3EubA0d12CXnwAQlrWT5iyOBTG0FxnKR/JKhavqWsIvExH2e5kKDY13fnWEHKnqwl/Mg0p%20GszLRpInmHCG6iQCVaxc6WGWZMMxuq84uALCBFFrgs7SySBVEqaqbkCkUmFaVbWxLg4xD6Y1zBS/%20//Z3j09XcZRbqACYB48evn+3PTjcvXQwo6BZlBt67+mAkirK9OLRdJqlKa2d1jW0E2iVDHJaWsgo%20m/mjLLtdEVLSJh+OaFGVVZ2keQDB4ZQ+bdvq0DvXGlYIlsZFQiuB2xp0IokbHYRZ1jnWmQArRnlF%20DtpXUvL8h2kiGMvG1srz0gvS1t5AmRPL3ojm4/j+vD4o9UzTPI4Txdwo2n9pGt+8cWVVuHfuzANa%201qZUYV6UerPa7O+O8xt7HSZrlAcDXA51rBlisfGdnxJBO4kw3WQSznZ2btyMBJjybbmuq6J0QbUp%20lsX768lemeTTIBzg6WBlgzQiiVPa+x3qvloGNb27JElofdI/aYViv3PHNh/kdVHQcyaDVKIcb+iZ%20CbF+7Rvf+sf/+H98/+4HWT7QDA/Ho1meD2rdebM5QvqTyeS3f/sffvJTn10tN7BCxZSI9yLrg4nb%20Qs3e6R41dKWgScx5cSdoL1IUjgy0XSLhpT+4jCN6bpngIjJzGCvdtTFU1yDCDtV1BQW/WIQUBELY%20/piqbqsOvDhW9IlwiCCpNqjexOm6OCurqm8ncqcLOFoaTDqqDnT3hGJTS1coNDZJyolsdrUej4K4%20U2sbLLVZLrq6dCrqZBQ3cH+KpxmkLTXTGatVXZ65e49KWgDjTI7H+e5suDNLp6PBeDyOKCXSnQXT%20H31WAx6/5YkaxOMkjJjTIrsWOQidX53uB8uetdnrL2iwdTj3w57MhAz6sVQWRPEc8n683+NylH/O%202ZdcCGbgzfahsrfeoxBZrgoNO3M65nREkY1WXweTsRlh57qbbyj4Q/ieuyd4Cc0GoRGyKxR0KG9r%20mg7crzRTlAdG3tBXJlk8chRMjWN/WrreDdrddrVZxUkqrFo3dC6bxXLx/p079EOj8YRwUi5pR4XT%20KQXw8WAQF+vlgwf3ae0fXT64+cJ1ur60yukPffy62XTdKsQtrVXoBpmMkL02y+PHRQv/DYTaMEzS%20DCxPdEZaJp7SdqpBuY1oWTaLzfJkPb9/etLS0ZkN2yDsIE/qLM/YWuYkSV+R6XtHOJtpHXL/yp2P%20A/tmBk7rvn0t3Mct1ef5ASZ7nMLDYWtyT3AyCqMXb18+OSvXRa3pkO8C1h+N379/nGXRwe4wAF+R%20FkPLgxIcRQOWKVQ9b63tGqnQWKKQbiwdGFmcycEgD4NxRbiqIyRqCXs/efwkTvd0q9u6kwpvQrMn%20M9yYHLzi6Uno8KGUmNVbeYaGucQhBMcTnmZ3bQfPxCjLv/3t7/7u7/3e/QeEe8bQXdEt1J3TtAGe%20c7RlKQDNJuNf+7Vf/8ynPnuyOKvQTmS1pAuXmqccu5y94Lk7+L4pbyJPf3dGGQdZKAB70L8R0EMv%20soSeoY9gdMxR6KdtTMH19OyY0BNteadrlnrrJVQIcNHuo8tLmJrQecDeaRQrIWoLVml7tllXTUWB%20sz9vOHFheSfYiogYmm10w+iUTgI5TuxuqA8CMzUy1WHpZC2jqhref7B8cnwMhl1Ah0s4RenJn0UE%20HGGUQUlG19pVaReb1f1Hqxj2RNloPNiZ5TszivNJGkP8VoUZs0tay6lVAEaTCZgEG9FzakjZfDTP%20/YKl0c+6ugsaUnDep2W/E9O7W9mtjL/XtOEuprHnFA/Xz63Sv+u2pZM/RAoV6KoJ6uZwPH3pxs1B%20mhs2EE9Hgycnjx6fHHv7btBjKC3RmiBNzAdytUFR8vDSmIBAjHUbe7tHDNSFcdzCYIRA7uMnpx88%20eDTIp8N8QgnmpiyWy/WDB49Wm/VgCJhBF5LQyHAE1R66QBTQF2enWZa89uqrs9lsPBrGSWwxQAAq%20gu3N7lBqgwgcE89ordMlrIqVbkw4mCg4K6SRzJabMs0yyiY6yjSt29SbdbFZbxbzs5NVuahM7WKC%20C2PUDZH50uInsBNGIcTtwK/FZWUQjyuuvXWiv6zbypiXhkMjQwZPcWw+ju3P7YPuLywtQQH0DXiK%20WpQed8PR4JVX9r/37v2qbspqnURD+u/zVfXe3eM8vz5I2ekLLGHDenQaJu2g1tH/at+QTBL6DoUx%20AI0wagWk4Z02UUbJba4Wq1VZbaTIaDvURaVkTTmwDFVT1ywwAAahYRPEkDMFgpB9zRTxQ1pNaSXk%20FtsONdIoi9741nf+6T/9vdP5cjzeJSyMQ4eNV7sOIzoU0jZldXDp8i/94i995rNfOGUuPH3TsZ0C%20l9t/8MF1GNuXZAIvH8/zLh1y+pg2PrNoFDsR+3GcXngEqAexk8J0AvmdcrU6iWQ3mY5jzKvSuSbb%20hi4FxGGLNiiaruoMZfuWNY6RDlHaHSotzWq5XhRF58XPth02CgIgUXAL2aiRS/ZdOAvkJLLwws6C%20JhVN4pooMARhozAdjPPVsn78YFU2AUW7/Z3BZDSx9NrNRtPdEmHjUt1h5ka3hjW+KH0PlmVztqnu%20PwqikA7LcDZJdncmu7NpPgzDIIVAIpN/rIitJPArYfphm3O7jh+cUD3319oqyoreScuwZg2Lu3iq%20P5cC+IeNN3vlihB6z7zc4M+hnyoj87IlECqZka6NaO3twyuffvW121euC7j6EZBVyTAr79ff/u53%20GjoGQAfRaCsTrlEyD8NBmlGovLI/HuSTNBuEYKNHATtie0UwOPRxN3xIx12zA61H09y78/DsrFiu%20C9o8s9lOmhKMSHPaGTHGlxeLedPW4+Hoxo0bl/b3d6YTWrdFQbimjaR3TJc85gudR2Y+wR8L9MY4%20SLgi2dXw2Q5GexTel8umsfJ0fbYqzmhJRJGcjmdl01AqXNHViJMszFpcS1Zhg+IPQSO91Y7B/xsv%20rMfOZPTpcU4yxd9dSPyyajwz642fJQs+nmJ63qO7R0Fsm4x7SWssYn5bffmQFmT79nuPyoqxhrGj%20LDmdl+98//ErLx0lIUSBkemi/g46dIttx/VIFUQx5MhoAYUhS44yfwFDgJR7Wr2cL06XC0KncTaC%20GEjTRAl8HDAhqAMRWRHxPLlhVntV0Y7D5DgE9VB5D6Eajs4W7O5URDvmr//qr/7sX//F6dkqivMW%20rjwRi7h73TtLRwwF5Nls/2d+5iuvv/6p1WpVVzW9Q4rvgb2ALxeXpO9W9eDS19pBPLR9icByicbT%20my3EsJm6s5XhEP04JbKPdbWu6iLPk+l4ojBA1MrQEztF1RJcN1VbL9ZVWRuIKhB463QMQgtG2Akr%20PlycLQlRZ7HXL5dBX88AWHYDS+eL3NPqshGHoRwlcjMQi2EQJkYoq4IuiEUcuKQotak0atsskTae%20RPs7oetsSMmHiBZ1VBqWQNcwN20a+tswjwQ1Fjo727ZbbZp1Wbz/YBGpu8NhOBsBpk7G6WQ4YPpk%20jPMA7l0KM/sfidx7rviz8hc8SxBsjRX7A0BvB4S8pCELJzqujkNP0rCMwTl/RrDjXpLndBR0jY5q%20/eLVa59/7UeOdvek51Yq2VpD8PzKlavXr11768036QUhFBeFl3Z36LMGmLqWaRrvzHaHg1FEAR/i%20/YiNXl/Het4h3ONtItXu7s7pydliuXp8/ORsXkwms73dveF4ksQJO3IBClVVLYU8Ojy8cvXK7pQO%20g2C1qmDLC70zCNfwuuQSH89NhVkoZALdNRTlMD8X6G4yyssuOjmZL+vFsu5KY+4+umdlI0L98iu3%20br3+UqwyrdtNsTw5O51jwGO9wZw27DrouSy7bQpvjuZDtWQZfDRntRe7wIVUXpDMW50HLG7QZ0Qi%20cB+XZZ5zojurYTAD2SdmBFwo+S3rMh0OLx+OzxZnD4HsKWRCkoVA9MMnZ1kaXT6YDAnRYXKkjiNX%201E1rRBwnBKMVN1sR9LG+/Kw3xXVKd0NbO0Kjm3IDRUgZdmxn01T1YIwvUNrm2VDTeXAG1qPBnob6%20d5oMEB2bOo4x/kqbJRtkZdn8xb/91//yj/+cgHkSD1v2+3RMk4yiiEKTJqjdVJPp9Oe/+vOf+9wX%20yqpqmRTJ9sIw6HgmoDv3gxLKWywKgwnTxJCwRHPXOg598Mww3JKymEfxGiK8g+gDNg2Bq4YiSZ7z%20eckNWqMbVBdMRGchAeVaG7h0C1RLoFKOTiKkC+gMmxeb06qwcQx1Th4Xxxb1MyY4ThMnhtHgShMf%206mAS6DBW4YRgqBOJpf+eeP43qkmBGOX53g4FSXtpbzweEM4tItWksU3BYZcN3LTBO9cm7bqALmnF%20Vhp1qykHghI7xW5Cxahl6M2mKdZNKMV0lI2H8WSYYFyB5z9h8bo1YvxwzV1syR2evH7xza0kv2dI%209gORmJ4CHICpFzzBrfMHiOHC8LbJyoLsGCoICPVS5vHi9Rtf/MSnDkfTAOloF2eJFzijfHB3NPr8%20Jz9dnM4XywUB8KtHhy/deuHx/XvVehMLWa7p84ySJGUHUoWoB+p8wmqgTKaBu4ozbYXXiqM8H9x+%208aU333yXDr1r128S4Fiu15T5WFuFoc6z7PLlqweXDinfpNUG70jroigllOEPKFZYwxg2D+wpnNJK%20g21FiwkKdxT0O/iW1+bdDx4WJi2dPF6ta1vNDkaUaY0OdvLxKNKRi9I8zelYao0uyvL49OwJgfum%20LShJhgKB4R4QOO896b3Xbhaem2BZEKI34eu9WAIlLiQeGMl8HCOfW+COLBgDeiwKFfhmIKZB4RPT%20KmluXJvW7aKhvD2M27pBbBPi7e8/jDEjcsCZoC3rDVTRRapUynaV9L1WgxDSu97xJEpAaKhcFi0o%20gFCAtShzUOK7mZ/N94+uxRGIIqxxyBwwY6E5KJVX7mWFA0tHB4rDTUuLMErgMfRv/t3/8Sd/+udn%20y01I+4gShSjdlC3l0fSTbasdeq0QGv/qz/3Cj/3YF0uolpt+TN54AM6NJNsbLm7/0evleac2vkra%20mpqwIQhpprKmgaIUquVS8RQKIdaU4Tu7myn2EcTl5LlJlAEgDihsmoQqzTeUOZR1a4KqNUXdwbQq%20CmlrKzSzBHuFhmWn52VFn0QmkWX9EtlLPXGf0ROSw1ikAxtlLM5sMtFE7TwOlpGEJYqNMD8QiCZJ%20wv29wWA8OLoiEqj+UIbQJSrNUPnHeRMGtWEBAMgTxnKcha2NKGGoW9G0om7CUotCS/ZQAu8EZ612%20xaZs6rJrw53pKE1icPuDi0jwoSEmzyGS/TCq6404WJvfYBrTcLrgK3p08eku666LeMQNGNN10Gcx%20W5RvLZf8Qt20cRSnFG6dOzgYfOFHPrWTjUJaXrXGGmwarZBYglJflgfj6adfe/2Nb3xdGncwmV4a%20TfMjl14LUxUu5sfcdgIjq6RPrOTs0qUwiUEN4EfHahFp1sxPFmduU9eYQTg8PPjgg4f3799H55MZ%20k8Lp6XR8+ejybLajAsluU16DC1MQfRKINc3TSfTOAgroseUziwmijK9oi8GTAwT4aEg3MV6eLArT%20DHeGy2ojZYsyEe3C1jfuKReMUxWPRvluvnvjsKPN8PD4+MHx47NmGSoCW5QGdKygEKKR1bHOWgh7%20GuM8eam3m6fF7RXymSkpoYAE9TPzcZR8XoE7EDSK1/689tTdAOzgqNUt/Wt/f9a5tGweFJuW7r9m%20uhTF7fuPznb2xsNUUpRC6QUmbyml+Ty0xHIBCMrOzyVinVB4q1vbgDzG7lGwLZqv26IolssFZcm0%20Qcu2JKQNGUMZbedDsBsIeGX5YF2u03wQx2nVrCKpknz0h3/4L373d/8XWq6j8bhq4NZAqzdJYvAF%20PV3OySROf+EXfvEnf+qn6fXLTc3TIWI7wL7t220ftp82t0//E+C308o0ISXQ4PeDhrEzGUxDFRNg%20BtJjFRgKhJ3d6i5hllWFGQaswB5EZwJ43LWOsHGQWuA/ZQJNlwQ+HWhGY3LUCxoLpeblpmgbkSUd%20aJGwq4bWbu8UwiwGoQmdm4ggIcUInTsddnPVPUqjReBK1OmjlOBgYKvO8ehTwp1pKJhQbKEIr2XA%20lJmgJqCo/ChoQPkZ7K8oC7GhoMhqoDcfVjrctLAeZJeNzviEC0OzOIxb3dABRrE0YhKKcx9Fhbyw%20Vzpfed7Dr+8Tn0vIcLfCT7EqFj8BimdxXq88wD9FQR8uJE1Dn2AQxpkMB1J+4sYLgyhuyiLGCA9y%20nV6uByrMitIs+sXrR0eP7t69c+fdv/3GN9vl+vrRYUKZqgv2ZzudK0ALtkHd1CqMxx1GeC2r8CjK%20FTNUsukZsnRKrybEw8ePTun43NmZLVarQazoglCAPzw6vHK0B+kxnH8tLWqv4r6d5O+1K/oGRM+Q%20l2ifGzTtvXF8YI2iNAyEqjhv8rvvHxd1Mdmb0TVezc+yTEYSo8rSyl7GyPbulpGK8zgdzgazdHi4%20s/PByb0nq9NmU2EYSyk+8RnMQJZUgnK7dV9xXg/yaesfsZXO/1jP/XnuqHqJfn8zJUt7+CE45ZMz%203e1Ns2tXJ++881hrlBxow6dp8vj4LHzLvfLi0ShLhuMh5rtNbzvjfS8Vl8lhqtYC+vCxIFnvl3Bm%20rDFo0tFiHw5zyZYT3KfXSvaasvzWjOayqrb29OSEUHnd4Ln2Dw4mO5f+1z/4o9/7vd9frYo8G9FL%20E+AgNBUlaLvSzwyHY+mismq++tWf+9mvfLWgo4mwc09otJ7FyX87b2PQh3X+m+dGfdzHv+l3RFPG%20uomFpsya0JQc5iMB0XaBHUJnoNPChlwg4IHKfni2g4E45dkOsz0h+ByCrbXpyKP9xbNTBLtSjFiy%206iAMPeCpRvsuKKoWjek47njqXXq1xK1bCDTYFGy9oQkJyqRJbTd21Sxold20pg6yXZfOOrMOHVx2%20Iy7jE1KU3qKQGXKwtKCXplNZbLcwC+fwBFeL0TC6JRFWRuxUlie6C7pWdW0CzAelX1Ch6GiLQ27T%20oMvdOfNDkLtg09WtEvr5IJKXhTy37OTPZq3X7aczBuxX1ln0lKWAs0s0iZOUQAFlgHECmfaRDG8d%20Hl3bOxANKiBFUyc8JgTfL4yAQvYLbCJnRoP86Ojg+++89dZ33108OQk+9+mrly6N0jxO6MLT6iZs%2025VVKaVebyqD+wtlsn5ICsi+zbP85s1bly/fXGPOr/ubr33z/fsfxLQoKD+6NLt1+3aWREbD1oy9%20Ay1PHPlPBtcxpsxarmezEi9jdVZFcMr2ZlRIB0NwLoNAD4ahDTZhrAmy5Gk+Ci9HoZvFQ9kFXgaD%20VUThLg7dZ4PsmJKYcZjms2g4iPOH0YMnTxoAd6i1MkWKFVyRroP+FW6JSV5dGfx8SF2q/rSV4ccR%208vl9EBCrqzKMC7TxAkkoL2RXA9q+0LDD/ESppbp+fSeO5FtvPalKNEu9Cef9B6e0fj776VtOUhTr%20IAbiWMKDeTSsloQxSwAsjQINpcfwG6YdYuqz9ZKeZP/g2mi6l8InxDOkDYd4Fiz1Tmhs60hpASrC%20sFVuMQZ4Mv+DP/zTP/mzf7NYlGk2ajRckTvN3jUuaNomjpNNsdZGfOWrP//TP/2l+XIZS1VX9VZb%20tndk3lZjnsHp7qlYf47nI61TqwUnJimF9TQWRRFASAA0hIhNv8H05lqthUYJHx4IcUKDFtNh/tEZ%20OFKjzwxR2rP1eg4nQYzOwwrZBRFUI7HvywbtvCCKOuTeBpPqwYWjoFeyipM4zoddkqKBDRlOI5tS%206g1BdYJ9QTiZ1wgJQykTGLqJSDKT3B9uUDMnqI9iMIVQOiacN/xhFr3AWAzPbvkLykK1AlaAIpFC%2044AEQ7rtQgLDMrARRXekFtBpOZeF/FBwf8Z6OdjS76Cb6bXGHM8QeDFbtkrHG0NVGlarjh1F2TWE%203kTIgzyNjlSUJ8NIhYej2e39wxikACYGhMhYWFxLeBF6uKLAidfGLrpy9corr79G63S5WD4+OaZY%20TJnjwcHOCKblWL51XdDR0GJV5WEQavR4HYrYdHVa09YbGbYJrbvpzljIL3+JAvrN773zVhSr/f1d%20rbuaATrdUPowcOZFF1My3RZbAPdOasjssXi0468wh8VUMBZ85GTPYd8QHsqT7NrR9IAyvzDbme4l%20Mm7X5b7MlIb0gK+iMonMe5dDOQISRdyvHUn12rUbB9PdO48ePFkuLQMIvwIQ3C0Mf/uDE/eDTdBx%20zNit8RYr5n9stvccl2UQHCRApeynZFimvGdlwIcoRDJPye/V/a51d+7MixL2l2mcCBN88OB4Z3dw%20dDBUWE2EX43xq8OBSlNxJ4n3JgYwKJCZTmnK7F07Hg2Hk1k+2m06xG2MiaLB5JquYxNs50VA+Let%201IYy3brWtDoXi/W/+8s/+cv/62uErJIkpwVIUbVuijQf0OI18KPPsGUi+cUf/6mf+smf9uYaZV3T%20UWNgRWa9crX3lLTPlmXO0br/0rPw6AXyIBiALYMmI1wCnQ0JIVkfAb2Rg8TAJXNp2NmHID2SCZTf%20UWxl7T6ny7oBWUOlIkpnO5fWXVit1orV3FnSkLlwNijbmp4qStKSNmsvCsjUn75MhT2tknGU70k1%20QImWEJjRdDBgAEcMTyq9Ukm083LatUGz7ix8PlzQxqqVqqFrzEEcliJwCdWxNpE/wwTXPix8W7pt%208xOTS45tRARq/3RIoPHLo0WUgRFcBPQ3toMRNHrkfXQPP0zKeoqF0fu99RpWzouJ9VQjVn4xkut0%20APYg/fuePEsYAEaju+38wJwQk8Hgxt5hZpibFcCyA3r8GNHyozhspA0rD5wMWtpwmN546daqWr37%205rvvvH93uV6/cPXylesHlH04UbGSXkcohAIxsxUx42Y5H0PhKZI8AeT0ulytK3raNEuOLl86vLxX%20VOvNZo1xtBa6z0kCpi66573zNBfbMb/MasPsqsqiYNwhNzxw5HqdTQwDEnCwLsGm1C9ePQjCJIqG%20pnKb43XYmIlL6GcqqEMH7EOL/BuNeOTGoCpYNhwOwX+U4WRKm2e0mD9YLE7LglM/yfkpIbEgtkHv%20Keu1+AUjHiQcygt5BvLj4P68PggfxVEasrqR9O43vNHRzpc466G2GMW6tbRdb93Yr+vmvTuLUFD+%20KqIoXlX1d9557MJ0dxwnrlXQWi2ZNBGtF3VbiTQb8+h/1WgwMJoqUNINx9HO/jgdDMqqbjUjEI40%20FAO1aQg16poFE7lBScAtjIxohQrTxyerf/Wv/uJv/vqblGBQiuFrKCoi4J7A+ZW+G8ZGo8z/Ez/x%20U1/6ma9EUdLUUHFBl0hBOpu7SL76CTcE7/qMOAXmMQibcAPHOu9i12UE2Cmyd91AdxH2NEgbcPIx%20Lg1BRvYOy5Rt03HHE/VsOutlZQGjGvb0kD3rAFl6TJGsAQOty/Lk6uXdbBgfz+cLCvGA24o2bO3M%203DVVCNaEYNO+CCpPkIiSYWrw9mSrknjnepHuNYZCq07M6nDPHblELqaNzk50Fx9++nO/8FuzKNer%209XK1Ojs5uffum6HeHE6kq05Mu2xt3aAMRPcRCJ5LaHSStZa12xi/W3FewuJ1oeGkpGSI6UbTcXYC%20jR8+vFBYY3sl+0NUIcWFNqHrg3ovtOnthiQnDtKzOySfikzIZVnewPSawGiwh3QlNDtj0ambWUeY%20fZZldLr43pHEaEOnQtnbfThvTyFaiwY9qLhCT2eza9euBrY7eXT8wYNHN68fhZlqbUX3lJcEHZHe%20MGzLmuL7Z7ysNZdZmP9O+BrUdYr2YSQG6SCmBFgWDcV3gigU4iN2zYaFuLeg4jki8KAMK/Z02yEs%20KGOzBjzKP2y4iAyQUBVdisoGwzjTDnKmm7Y6uf9wNthJKFF1XlSemUVc1RfSe5ug9mLYmZXQEpZi%20YDKhrsx2J8PJ2/fuPjybN0i96PVay/wFL5ZhmRiEW8CzVf5e2d6x8uPHc1pz54FQbmBxl5GpsNip%20xstjS86MAwqw0N6zN67PmrY7Oa0w8wJP4eHJWfn2+yeDV28McqGbs3w4ol98/Gi+XOg03m/blPdt%20iLlOjDBlw3E2nqooocR3Y1wYqiE69FHc8SC5kKlpadtRFO5kFHQwB6V9lhKSohj4J3/6F//3X79B%204Y5Cu5Rg5kFAnneOxASL34Xi85//if/2v/m5OMxahFdU/3kCpk9CewOeftOi+SoZk3LGwKkH4rEJ%20bTs09bRtcijQd9YrmdBbRHygGC/Y0YxNpB3MTOgcRFlVaO3lbfndoWfpfTcMJ+ssDoOSCFqPHf3C%200TQfR8HDwC7qsglkG8pFV69hmgoXQwX3cjr3QP2A1jsYkCHEu9KZvHR7FYyrTTVw7UCtX7x58Pmr%20nw1Wr5yuwg+++0F09bXpK5/ZG810JR6++cF7m3fuJu6zrx99/gsvh8UTWxyvNvM7jx6//+C+FQuZ%201MisOhT5DR0MIqET3RAUpzyL+d0iVPCtsiXQpvLudBItdDrxWfAdHWMe3XWmT/LDD9OyvKZArza7%201chFuRh5Isq8fEs7OLugJ04rwHaaUg46SPwkgYCQTRh1kr4PQJkb98Jw/Pr+kTJwBVSsBszUdsnT%209twP5NMGJE8vtkWQX9hYRUcHlzeLeYhP2x4cTUDPIVQQpQRApMAqtV73AK5aSC2kYMlPGMiq3juE%20qyohaksRnTa0G+iEy5KBDGr6vbqBah7BjoD1e/s2DA84h34OVHTcdQfgwCggbBhxvFsNTRkgaYr1%20nYgp11jRLqADpAk62eogGo1MFNGdUr2qL0pqVnoHV0/36ic3vE82JD2tiwIoTcu9S4mz7x8/Ltsy%20Cnl4ykR0VTm4C3pdrDaWWeJRJue5/h8Hyee1LHNuruOTWNTkDFvBK286AWaLwuAN2M/W7M6mr72a%20ff2b71lOTy2IE/bkyemTneHerYN8GLdd8ejh/dOTIg0n8Hhg2kwNcfZqPE139/b4lCBk3nKv1CtH%208zwnSIDw9aw2m9Egh3tnYKG0YekEyBer6o//5M++8cabFHcw78SWaqzPy1IbtOmlqtvGtPZHv/D5%20n/25n5vtUKK86Schnx1S2vKse/CILjIny4Z1OLAR8MdmRkdGg1XiNAuTXLQBzz3ftk6U/dfWv5bx%20NR/mgMiIKz3Sj3QDlNGzeUlbP1av7SDJX7h+Y9k1lRQrCqiPj0+qE9d70PWTJJ7KZFDLjejJknwc%20qLEzYzrAlFtOBru706PZZDbbH07W0bdP88n1Vwaj4XsPT1aLTgzTh6tVG41e/fznrrx8ZeheSASl%20B2b37j39ta9Ps2gnC8vN+uzsyeL44WZxUq8XdOm0ruh0okCWRFFoQ6hx4m6ypSjiLOQjQxkA7KK5%20uoHGisg6Kd1HlmW4vs58S3/dLdtfe9qI2LJIfFVCejFh61WWuXAGjqF3TPXL1IOOXCU3D44knUKA%20w7KfVmAc6gcvfbFH9qkC++XhmiK9GOajK0dXvnbvg/FosDubdW0HGrp/3mArnsUa7n4yf+tmJF1/%20MIGjjkxDhHYr9g/jQwrntEIp2a0U45/2aR8kzCqAZ8wYQ/gY7CXUkLrSAclEBobP0qtf9MtKcCWd%20EEY+yKd7O5iosP0F2xq6bj1S/eSA2FrOokLDfWU0gcwky165+QKBl/UHd5QI4jT1zZWeuyP6lpQ4%20V+0Xfnt8/Hhuq+7Q6+6bWl7XDwgXJcfAu+zGyjVNTZBiOBxEcXRpb3Ljavv1N+408CwVWUpwp77z%20/Q8GShwd7N69//hsfrY327dduN4UwzzcFMvV+vTK5cnBpR3IERCM6jBB0XvRY5+z4iF38gnDjCZZ%20DH7uYLEuAh1MhqP5qvj93//jv/raNwhaeaNOOKklBPAwygRlmaaTIfbuJz7xyd/4zf9uMt1br0r4%20GBk/dweGyEV0fvoLQCcUADTmv1np0BmK6YnuCLAnsN8wXEsXT7uLnzeZvNKV/wI6BwxqCckaA0/t%20ULITEw9iMqQUAOwsnoL+IBPDJTYupUDhdLIzyRJZF+mqQOrE6pK9UZ/tcwEk8ihyh8lg0jaCYFwa%2056FtpuNkOtqjCFc3wfHxRndqd3ZYFvL9B4auwyc+fcWIcLI3He7N1p2VsWxMpFSm412bHAyOruwf%207EN3X9dluSwWp5vVablarubz0yenx48ePz49dUWdhlkcDwnQW9EEULXUYQoOn3YNSJl0LlNw0vyR%20PrKh2geP4GlJdtH7TXOvFCUYwRAeC6LnbKHxDaUD7wbaj97Q31kU27o52Lu0t7vftY2S/QGhAnaH%208TUTb/HhbxI7kbqLegMU0w8PL4/QFR3QYjOmdr11FsiISvkKibgQww28zd2FZL33ZVJcAHJBT9/H%20uDIkeAaQy1BlXVbG9sQrvCxI5CjUbEGCVxylFwq57iPQL6BlEyRBz6Y1vcwOtLm75XJjQS8boGa6%207YOem4f3mMWeW8z0KmF4r8b6F4tDyoqSF6+/UNT1g+NHSqNvYrenK5T9QU2jPcDe7uzd/p85oAr5%205bZ85km2SsI9F9Y9vR8vNhVnWToMMaouPsTHhCxJGPZOOjB+sf6OP+0DDmns7XSiXwwwDHMfoXP5%20kRPqH+oZ9YxeHvu8QHXiKcXBYLtc6OUo+QvVf3GukQ96cttnwTUIezdhDHyj2oEmpx3mKSgXppPK%20vXTrBa3TN7/7blG1pmvpdFgsq7e+9wEUY4r1aLSTD/ZW83VZVYvFkrK8y5f3Lx1M0yQs6qozNXt0%20WCbMwzEU6FhgbBrVeS3TMYFmSrw1StPR4PGT1T//gz9641vfczYOZVw2Nd21NMloTVJ4J0TXsUMN%20PdOnP/m5X//N3zo4OJqfntVN40c83Hmeau1Wh2qrVAWGBgjoXj5PcwKtjMm6Lqc/pot7Fw6rOK14%20yoJePL0APMFP+RlSJiz6EgDEGFAPEqzThKoFu0UI4yelvKg5v6O2wZyJdMOz5er45JTZlMqDUcR1%207Dl09WjPURKhkkE6nNbw9qlV2+Rhd2nv0mwyapu5NGpRbGrdVI3+3tuPnJil4+lf/of3zlbdT//k%207fFOSgBbdEEkMMlU2Mgl+11ytHBjOmPi0EY7B7v7wayr0cVsdFUWZyfz+fHp6aN7J/ffWyzuHc/v%20mU4P0miY5pBrZu6mCxK0vMGtc1s6+kcgdy/b60GsQtn8okl87o0t2FhwKw2Jijt3crEk4WThq/CR%20kint26S7fuUKrNlbx/MQuJc9xBZbK+1tCOVWkmIxy77Ur22XhNGrr75GeVkHsUvF9xWJCHuLSobk%208im1c58LyAtwIIIfWAcshwTyANT46B3mKlIxwaIW5u3aC6i63gSDpTWdZ70D/nuOEKb+MDLBAhsQ%20GvbqDMhL6BxdrhcVjAeUH2nToh8HE9tg089u9Crz3OXhxS57xyhmJ9TNJMpev3mbPt4H81M5ynz1%203rI2Ai20VhuI6zBuV0L85/PctW7dBUOq5wME3qrRMiX0Q4QcH455wD0wxnykvo3/fq83x7Nmkkl+%2050G8RUpnewDBZwAdCd4F5e8e3LeWm/gM5umIf6Gq388Ae91Rk6b534OyjMc2nM0xkRrrWgnPBwTn%20w7lQyEGW0ppqMPRpVJw4ER0d7t2/96jGoLrJCPtM8iAKTxcFAfkwHHYmkHFcNfM0Ua+8fHtnNuia%20ddMUdNMicNo5NzWEAFtQGYDcQYJEWSaJN+VCAoAlYZJ/cPfkX/zRn3/jjTdVFNNZSBd2kAFOYKxT%20hvRuGk1QKRrkgxdeuP3Lv/KrV65ef3zyxHLg7NOCDzf2gn44aisry7cDlXDocIcBmqjDrsusVoK1%20srHwQ7aaeAaqb9VNxNZWfkuXcXBSpR+BVG5L2z00mJ8XvkNMkYYnMr1+sNfEgq8yxYF11Tw+OV1t%20SstHietlZLxODYoETka1CYbpMBoMbNCqiJIOPZ3Iq1eGUVynkVBaVKYMc7l/ODjYmwRp8o1vLr7x%209e/dvDF+7eWb9IRJqniOQGzq4GTZll3ioqyDsizd6bCC4HxgIeOehGmo0v2d8dXh5Ta7dG/3+u0b%20N/bGQzV/cvfd733r0d27iyePm6Io65XWkZR5FGlXr7fzmB+hCunrYx4J+uEdr90S+AJA31v1Np7e%20Bdr1yj5yO/TreXtpGGdKjGc7O+MxlD/lNhwEffUruFCeEVuvUG6sWrmN7fScEQWE/f3DplwZDbnM%20KIw5qiuWTuydpZwTT9vQPeXj2p8c/cDbOUnV9YxPuK/Qe04TJocCWmr2bRGeBen5VVyq8SeHV/JC%20QZ79YJSiCGI0MFfHrFp432JWLmQbF+1ljvrRKF+FAVzoCzPbaMMVHcmT1r1bFLOM6J3tD8fi2gu0%20D580XeMLRCyRZtgITfXKeaxfIeX/O0Hm2YhzDnIvBD62/9UjcR+p/dcegz/9OGcr+2BN0ZxCuQ/r%20aKfzqcB2ENLvTx/Wnzn1/66tyW3d7/yLH/JJxbO1gf/yAb73fLZ9QTPEUATqfHQegmAQhuwSD095%20uupluXlyevb22w/rxiYJZidG4+zwaL/tuqoss4yivFqsV21VzfZGN28ezkZJ1y5tUPEllwGTrJhv%20adhmRrN0SCMxV+goTizpngqZpdmd9578/h/+y+989/tpPuk6EG4oz7FMTiFoxPMWhn4zzwYvv/r6%20l770lf2Dy8enc5DZTEtvWkA7VwfG9iuhH1PyATjwkoNcZhXGj3xC2KWN2irpmgzO1zD3MBIKC2x2%20xiM0vJxQHjBGbB/9C2ybtmzcoHk7O9gvASbKjrknzCPfTmry/EoIMUMLJU4bPDx+8uDxsemVJX1z%20UJ7bc7ORdmhkIrNpJ+K6rSj6JtIe7OYHu5nWS5VKOkoaIfauHF67MRC72Tt3uzfeeHeUqR//7CtX%2094ZB14QRRXHbmKCo3brQSTpQcdQJjFlhCIFuSItdTvENw594p6FRYiWidjARly5PL+8cvPTSJ/7B%20T9m6Leerd9565z/+h//z+99/i57SysZVj7pw14oo+CGSv36I6ZnN7PqsMdh2W8WWyY9wReldGLAe%20g7enhtgDuiupVEezWbSdv3FbzbYPQbCgH/ziZ/AKk7774YwfBwsIYdWFARmYBfM0LxcQ97lU4Z/l%20/JT9gUy9P8vdVn2YhbkYU3iTVcej2GGaCkrMqqrG0cHnD1PRaaNFrPbZV6TY0CCIkcvTJ2t6Be7e%20IACCaXEap9EgyzMe0+DWgjsvFmwbn/1hxp9V9OJroj+aOI7SoqfVX3ezJHv5+s36/v15sdHeQrHX%20k+Eq4tYZ6//bfqrYquw9G7g9M8rww5dfPop85TXooRwbs06hh/A+svvF4OG8L+ycb90Pw/b/hHC/%201TLtr8e2y/L3XVVNbLup/RJ1SKPATQPbA/g5pf3ECuMyjGDycHJ6du/eAmVzoZIsHI8He/sTWnZS%20i2yYmaZ7fHpqu/ba5dnR3liq2rqOYkVHwUhGMPboq99cdwiFDlxVLorV6c7BgJ6zaW2c5JRPffu7%207/5vf/in7905jtKMEgZMgUcRa/CiPmKYgUJHc5rkr73+ya/87C/MdnY3G9o+EVqtoDXDCpTDFSOf%207QBq72y83QJoFyku84LP3rqmUnWpdKe4+M7mBb4a04twiKcefrVsbaO96hI4MJjRbzu2XQYo1051%20Trb4ArQNiYDPKFzQLhNQmqeYEEeLojxerkquM/IEo0fAvZg5NhlIgDLJJ/Fop2joIuB4C62epnmO%20hoOommBVuJNCJONJJ+PTJ/rf//s768X8s69df+nybqLbJGJJQCtaxnlV2cW4ucJL7foThUVPBKe8%204ORRnK/qbqm7bGca7EyqWJYtpV1ZGKfDK3tX5MH4XieXWdtUm3YZjnf0aBao7KN47h5ae3kVRtEM%20hK3Hus5ns9t02/qTkecIYhVbuKPgjrNFKqE4OQyj2WCAfANapDxR6fU6xcVN6jetP1S5reSfGVFV%20gUvv5UyzNA6HQ92Wvo/aNmAI0AthptpuUZ5/buRZ4tyqrn9+57Y0z76YtFW07/2naXElSfj/UPfm%20P7ZlV5ng2fvMd4453hRvyNFZaYNtDB6gDBiMjRmKbsCNVFUqof7XEL8h8UNLSN0tCquBxriRbUjb%206cx0vnmK6U5nPmfvXt9a+9wXOXVVy2l4FUpwvIgb95577t5rf2utb30fxtjWGS4AInBe1bQhZQpR%20ghYKrWyPVRyaDMqRYez7IZSX8As/gL2h4dGJht7TbDaLwpgFQNpei064bnxE9OQBV2cWYidU4nlm%20j280Coxtp7gHNQ6Sq7sHcEUoS/bn9Y1zMXEfhv6ZI1C1AfLvS7noIuI4lu36ocGXflWWZRiGsglD%20pJ/KjZh3Hf2tFGfkJxex/38Pcv/AY3oDnz4d5Nfqnnc5ZHcebQAUahA1YXLwx1UYRfA1pe9tCLVI%206z18/OT2/bPORMPRENyxON7ZnaaDcFWsgjikHXG6XD55enrz2uWrR9e8duF5FYZefSgLQP9LM+kN%20PST2clKQCn708HY8Gl6r2zTZ9aJxmI7//h++/X/87996++07cTSmE8U4iwbRQyBgaEM/qFvYTX/i%201dd+7de+Op3t5EVN0b9j1UDD9HIjbIn3yT06m07hn2gW7OVJJdMETamaIjJ1yERH4wkhQfe2ns9S%20uk1Y7zG7OFpTPC8JLSivAVWSMBJkAi1t18qqikI8whpnAhRHApRWfTaDpVOr6uzJYrGqKorsrTPA%20IYynjN7AGw3hKooIgzGB97oL43RMVz/Uzf5411aqNSrzgqwczLMkztLv/rB5895P/vn7P7y8u/dz%20r1zfHfphnUc6QCbh+ZR1LJarqq4PDrZZmL9Tzi25Y4FdFnfh4Sy4tBI0Uu0gHtVKl8qGkaYEmK5/%203dj78/bBKlx6u6VX62RH693VaNz68YeXZSSGY5m1stqc5oDhpoV676LUHrMMEV5AVOUBVU8SLVo4%20ie9HgNlt4Mb5uYxzocG9qZe56q4TDOpcFUP7o+FE2aajmK7hPh76VvuRdZI2QWeUo1k5ak8/WmtN%20D+IuJAoXdUQdOasv+DNcokVJ0HIyniyXi6audSju7yHtLvG1o8+g5vE2OAW0dBj4HbteM8UIs23o%20ALAQRJImvOq0RPYLL+46rM88Ua0bWlFiRsPZh9xnPl8hv0QJys5gtByO2xri2XRQVJ37ohgPcrFp%20/00kf+X2FUVxenq6u7sLM7aLujf8TZZlt2/fvnHjxnA4PD8/31TbK9pFbbtarRaLxc2bN/f396W8%20899fjbn4yM2K2vwTmRAHTPPc62XaXgfxQnMCZEgeIwl8QmnaD3WqvbSoisenjx49PYO2NYtzjUeT%208XhsVEU5epQGyzI/PVktzwsClEXREAw92El9NrjkCmSsmTvMJWQMzMtcXRe0WbZ445+/e+fO8db2%200dbu0f15+b/9n996+uRkON4m2NjVFUEY8F6gjoFEF65HUVh2xeXL17729d8+PLy8zkrCJJ11k6dc%20ye5JCvZ9ar4XXX9ZKhze9p3uKpVnQVkktqN0AjOCPDXu8d7iLWEvluyknSOa2ZQZlhUanBhy1CoK%20Ykr26Xro4vPK5J0ClC8h7Uubl7IElHUN9LtDT0XMBVmXxel8sa7qLiGgxm1ekNj6F+TXpmvywzSm%20neiFdaeCToVWbY9Gl2Y7oSmUCfxo1HjDh2dVU81vV+8+PH+oI//WrcPdnTTy2oiiRGtreLEiFbn3%20aEGJw2g8YDzaaS4P8IEIWiFXOniaBbkUhrqSOORrgslpxwpzWWYfni6fLqvMS2oQAHVFqZs3bPEB%20vT+4cybCY+1MuHMSJ5adtTggKueTbfpqL2toBey/3XLpF/UrMF6DsDWDIIyhfNApPgJlwslzlUU3%20DSvNNPZPpANc5rGM6ykB5XZJFNLJu5jPy6oYbk18kBvxJyGKj8bxebiDwumGcSX1CwX3Z/m6SPuL%20WNmGGdknxrSjKJCPJ0GeU7xaBzwcwaaFlCIEtDbOT84Jto+GAEEQOlaCRjUvBNQbfO3RuU4p3Wg4%204Kym43qd+BJuXsy6/KGH7zJgIYpBFwjP5lmAbG2qg/3RbDVfnRelB1ttjDJxA6ADl0Ksrz6uWGP7%20Ztezusr7yzKbKie92+9+97t/+Zd/+dWvfvXSpUsSoKVcQ7H+6tWrBNsfPXp0+fLlNE0puFM0lwqM%20lN3/5V/+5Qc/+ME3v/nNg4MDifsbas0mq9t0zzaFoE2iIF/SBqeDWZ6B52QMfUjQJ+1cV+Ajgupz%208WXA3KOv9hlLG0tOJyyFjfjFWk1Zbh49PT0+Pw/iZJBEWcF+GnHMSlEQASNI+vhkfnay8pogjcZn%205+X9u4+3x1fiNIaIYGMiFdP2aU3BdU9XCEUUAONKFW25XFJ8q//hOz988/560dAlDKrWRHFMi992%20pdYRN7ki2OLocJUtL1+5+od/9EdXrx3VqCJBhkRwWV+HxUSNS9+kLGvNswTbim4uPI2gzGWboK10%20XkR1DeUx+iFaD2DW+dA4xi6zHGwdgKffYbDW4z2IGhElzUbVvgUxnCISZTlw+iEI6Ld1gf+WebbM%20Cg8q82AFBYHfBTomtOQZAhrzbJXVVcUijVb4eFIRVpwZ82wKgdUwSfwozTDxqFE7UmZ/a7Y1jmJN%20PzNlU50tbVbb0u/WDx6VKn/lhcu3Xrg6mwT0YEg+tvT8Ad2trCmOz9dbs2mURhAF6mmirJGASd0O%208pSQRaBso6gxnzVN4iEIJChuYJjY+Ou8fnpyuizWGCCN/Eaj3MnF+4+gQjJm1A78IjIxMFXabScJ%20zpCfdkbkUiqlw5wjHOZ1FXMV6ccxzGDolGk87cQLpTSh+1n5TXAH1PdkQUiHh0kh2oN5ZOOfnp/m%20q7Mrlw7S2IczJBNloJRseOYMh4ByI8wSlxhjCOewH+J0gxNCEzd9nek9nWS+NPrg08GAcCVhIQVP%20bUqG43Q4pHNyed4o1oOOY3opAvFNyJYuEKv32S+X1mKg0zSCpzYjCxbrlwTLXkgg7DP1SeHJOJrk%20M3MC2zt64SrpI2v0VjycJoP5at2wnKvnzi9l3ztY/FOQIS8i7r5SsNlLH/YlQZMw++c+97nDw0PC%205ptsiN52BIkmNRgMCLaPRqMwDPf29ghmJuByBPRbetj169dff/11+q1U7S/SZmRtbIiSF+lVEujp%20JVre3mwY1HEz1l0prxDHxdTa0XI+yLSx9rmI8BTa67qms85KDPQsfBcRDWDPq2F53OXr5dlJfb6c%200wqj9bjIiqbTo2GEwQqvTRMK2abIazgJdSFGKFvdGP/0LLt79/GNq9MIM64K3kKaFYuMW2vMvYVg%20rBd6aTqgbXN8fP7O249LdZgMZnVd0NFJWLioG8P8Ny0ENZiC1tPp1h/9L9987bVPHj89U3A0jmpI%20O7kxf6df611Y9k4rzNFaPLsZf0dsiwDOO69u/IqOJiWlce534eTxIQjeWDfegY+cvokhOmursqqg%20gttC0F037HeCG8nWfgaGelgbdV3VeZEv85yOsdSj40OHmOgMWafd0G+X2RrhAewcSmkCDubSSetk%209h/jS5QRxCnlLHBKCgj+l3Fo93fjJMp1t2zMouriZaEHs2RycKnKzuj9HF493NkfQpOsC1jU1+dK%20lHp4Yirjx6MxF49Y2MaJPePDkTleRHLoGKqmIzwZT6OYzgjot1Soc3qdX62L1eq4NatOt+FgVGXr%20yC9TzTIGH0qFZLK56VnOujdn2jQEPe2UsKyrv/syLI3KVa2hKoEn53pC5MNk0cJpxfjO4ekZXlbP%20CiYc5YXW2/UmoorucDBM6CDP6ZcUFCiiNRTZQxnloeM3lkIbStDWTdNeAOjWXigiuTK/a0FabzMy%20ZzeRHWW4tgVbg+JRmZfZqmzKtq5XZQ1hTnrIYJQmYeLrBkwqQkBtHUUhDiErZRksaFr/KR1BIQ+c%20crUk3FzNs06qy3ukIuMcCRxx07iakdxqviVufMJ4+9PtrKqf5AsMevgYYGRNVze5/a8KNsVaM4Di%20IMX03//93ydgvgHUUjISSjv99ubNm/LDyQQ1hE34pgfPZjN6DMF5AfIU4+h56BsopF7ooG4C+uYP%202Xy83nRrQxZm4TK+dGJadkkLvNjDfMrzXXSnDd/g/2rniWMk4fNRhFNQil2ustOn1fmcMF/sB+HJ%20Il837Xg8M4FqbTUIQ9UWcVdtTSZXdg7f8R49erzIszX8mRZdfaeMhumVnRFBe4A+47gNtqshsMFm%20vWGYtL6fl+Gj4/X9x3nrTyh0lVlJSxiZft0weUdIFhQxAsLxk8n2N/7D77zy6utFXrHILjLJFnkS%20vwkruTgbc3pyYttNydxlrZq1qrTQjTlHrls6aAKv9TnGCA60oBRrHsdWopHHu6ij/02SuMgpzZ43%20bRNHURrHQTj0bGzp+pq2rShdKatWtQTd2VIaTDaEPTB8WGw8QjHbR4pwXhRnFFwCXxCWdiUgFjLB%20G/Fbyo9Bqxs3wUC3kHAcBcEo6aZ+PRvQuynKtuSWc9SY4vDq9gufvXF1uZ3V2au3DpNAZXlNbymM%20k45tSIqqefj4PBnESZo0GIz0BWwDKxmumAGzs3wcGyI1UOJUFEwDDFzRPzGY2aHmWa2ysgN29AIF%20oRLalwbTWx/gubMAsvzHvj/iSShhHKuAR1lkAAVUSu1EgJXXl+mVDbQJEe7pc6ZjNCEY3xlpefDk%20knZ8FmX74d/NnIl7QlY1C9ggrC0y+nQKDf91HcK6gtW2YAaAL1R62JhKatNoA4uyFlcslRvdZGNF%20HI3cR1V84SC6g1HLysrCO0FGzCNYSEaCEJrUXol+6TzLHjx9tHc+25mNd3eGUKBvc1x5xIofxjUa%20FS9/yi7pCgdJwjoBRsS8OttzIT3niWeU1/t9MNeKpYCZdAVzSuuqxFjMrGcBPWfUSk03GaY729N5%20V1a2VRT+gqgF79KHqKX+V51QldKKtEApyGZZJhH2mbuC1BM4zm6IMa2ozvY8SDnkREJWkjf6hlIm%20Id5IKJfS0+ZFN/z3DU1efkLflGXJ4d5y3k3AIO6kavXecvzzGdyL2ut0M4jDNPJhHUkHZ6hDHVVl%20u8rr0/NVVQY6mtbGnK/LtfGj4dQkaevTH5Xlstkdhtf2tgeDtFF6eGPba9fvNhltmy4MHxStd/vE%20j8a7w0lZ5vB+0EHZ5gRO0oQAfUAhqTVp1iZP5vbOiTqvEgWpmSA2LVQkISHigfUoBHE6LVW0d+ny%207/7u77/yiVfPzzMGIj4rxVvOvjvhO1P2AP6LZRMZZoxxaY/F/fjz6Cgtp6QUuzdIjB8SjiLgaeso%200awCyPOJVgYfbed3fCpgdJHZVe1gGNXVarU+pcA6m6ajcYzDx0886D8WOPptvWzhR1oYVTReTqlO%200wwCn+cBgaRTUDXB01815YNsXQYKosAsGo4yJ6wYbAiHuaBVAeUvLQG78Z6NR3RQ7CgVNVVzdjra%20Hw4oXFVNVxOkG7V+Ol+fTw/tp19Jd4/VyVlwbRgMwCv1KTjMW24nanXv0Xy1eLp/6XA4CAELAx5J%20tmwXYRx5sIUtC9K4pirX+enubuLFKofuMe2UFOhFmbNle7qgMwwVKJO3kY4o+2tUItXvD9jssaeJ%20ZQMNi7GwbiNuAVYOT9Eo4TZJr1tBOsWwYC+FNz/2MejD9TR68ZhTSsUGWQrK7+zF1zv39TwPURHQ%20gueCGPndcrkk1Eyra1Gso8BLBqEfoK9Ke1aGXHjTMkuq60vsiteN4rlo9IKdgoF186UeN+VVJ44I%20OBnlbGJurG3p8DDMmTFeu1wvj+en69JCgTkKm/PC6+I0TENTUv4WBLRsIZ0HoQSUK2XECxEs0F1V%20d4M0CQKoAXMKc0HSzOsrAUrGyPj/a9oZvnVdDlGf9DacTuv4krBcYYnRkNAKEguAW9+grY8jDoW2%20f93gvil/0yf18OFD+jiOjo42MXRDY3jjjTfW6zUBdgLvdNmbeC3PILXy+Xz+4MED+v7q1atyPEjs%20lirN/fv3CdefnJzQM1y+fPlipBbYTjH9zTffpCenC1itlnTP6Cd37979lV/5EkuTqueeB+lBvq5t%200crhoTQ/jNnyOC7q7myRna8KAsRePOhaNV/nWVsOtyZxGtm2MS1KzFuTwZW92TAKTFvSM2xPkpdv%20Xa69xw8p8tLZb4KHT5aJvvvZV26mmN/uWLYaEzsUURujS6vyyns8Xz85t2U3CJNhAwFsz00MgRGP%20EU0I9SEhja4d3fza137nxo1bOYuz98VctemlfaAOABTPhArxCFbCxcNAogxqM8dQGd/rm3pStxdi%20OU+twL6GS/rKACtAfbVtmuWcInsznYyGw5h2QNO0sC0l0IdkFoOWSGujoM7NMqd72crqwkvRVrIw%206VMRGpTrumk0kvGWlQa4XqTd0Lib94CSCzt6Rrdu3JhEY5XbDCbfwdGVg+koocgzHAyNHzddQB9L%20GrYgq7d2nNCn0sEpnC++xTvxsnW9mM/jMBgPhkLeR5eTBW2NcWwLNvHgqq1WZVUQ1B1PRkEEeCuj%20OfSborTLdYvJLHp2Y3g2l/VnQYLyPpznztUyu9Gld3dfwrlTN3lmxyyRX3NaQf8bs94kfXYhu4I7%205w+RLXemztyesNKcZRqUcuVndsmAyoPPfRd45tGRlWXjYZhiRh3tbWieua4T/sJNGVhpJ7KPBot5%20edwsFioK42Rvw/NRrppseBgZS0yzyIEHemWJr6pYLhenp/OzVR1FhJjr6XQ2mU1ZjbEOfCZ3IQfB%20nwjnHD1lmDl6fqjBX8WcKoabUoLwwAFWAhnGo/gdmL4qxVkpc6BwsjCF0/FnNtUqNM8D0VmDcg+m%20vdNk4NULnE/sD+OzsNi/cl1GwjfFXOHJUBCnmPHiiy9eLI4TBpfSze3bt6fT6Xg83hAmnEZF18nB%20QFH7W9/61uc//3l6hosTrRSq6GygPUnxnb55H+GdroFe4unTp/QT+u1oNGYxA//+/Xvf//73Kbiz%20T3sbx9FHNFSfly+6wsl4ABk+MLQ75pL7ZV6vi3aetyWBR4Lw8FhfdbqbzgajYWwVHfdF5HuHu7PD%203Wns26Kmf/oGinv28v5e3njL8vaqqCWpfvzk7Meh/8qNK3EyCsTM2NNZA06eDQePns4fnuR5HYEd%20GGKUzHA7kY2JrOaMOYqiVVEc3Tz6xjd++8bNF/KsqtuKgqyUUTe8BS4wmk0x1BeaHafX/E1fH+gJ%20q4YTAh4tQt6qWcqjk8XviZIYD4sDC7KbcQuYSMdglpX06Q8H0XgwCAJMhkfoTwCNyjilx/ifYl7Z%20VeuSoKIJktTy5IoRw3lGEQ0hf0JOjGjZb0349LZXJFNWhiUhCqImcXh9f3trOIsgK36tVjf2dgbD%20OEhCncRRVpssKwy8iYZPnhbrldndm/qw2uSJHHpBjJ5683MCIavRcDoajBz/A/prnptW50IVbFOY%20NEU/y/KMDtjxZOxrXySsNPOql6vqZL5suq4f85Ho5lx4P6wsIwxUpTfznK4TaqWQokSdxfX+uNKM%20W+IT/ET/GY1FHIwm4HIV8L7iUguOcN05jRWxIdR9AOvVDRhkY/LAKzCZGgZ5RvG2mIyiAFm2z1Um%209nNFU4LF7Hh6yLWzPVHUB5JF3MO9Yca+iNBzD8dHcYoHODA51EEUQfmUDtIqybJ8tV5lawxna5RW%20JrCwbdvjJ6fhdAAtdziBtFqJSgAHJ6nMeaxACdEEHWKj6jRNKdFomPVOm8LpfQEiOF6M7kdqtbgK%20OIsQY0T53WN9eqd4zSU6VNTCDureAaXtk4k5KXIxtmWGDv5Xfzw+e6anWqv/Jg2xrmuK7KPRiELz%204eHhX/3VX81ms52dnU0XlMIBAWr67YbrIoX4DY8tp3hS1wTJh8NhkiQUkff29ugJN1V1Kf7QkxdF%20IQ3Yzdkgl0Gon56BMDtdibVSebcHBwe/+qtf9tCzCTs+VT+MDq820oT/5l+oDoTKtTfh35kss+rp%208byhVeBHOo4x4u9VaqQHfsjWTCXhwekg3pmMR8OwydZrRWeYT0k/VLZpo2XLnUl6/fDg3YdP6R5T%203Ak9/yd3TuIoee2lo8hPm7KwOtLJsKzVk/Pi/mlddrEfD6FpXdcA2r4gCi6W0SKGTUe5s7331d/6%20+vVbLxRZCSv5KDLmfZxjoxzZdzOOBUyqNgOhQpv2uAhvtFP4VVq0i8BMAzPSa10Bk61gHeIxoogS%20cD0eo7pNNYhpgaWozpmONg7oUhYWRtJUAIVIqaJtsrqpMDwOG065Fl+I2wZTuXlVQlM7DJA5QKZW%20O2VOSfpwvOE0pB+nUXhlf2dvlvoNFG+2xlOVzNJUp4FOfFtSItOpsqyrhi5u+OS4VBjZo+wTrhY+%203U/rteCU2vnZnM6sUToMKPi00tOWASzDYr6e1HIZEXatqcuiSggnJqH4BxrWIK9b73ReHp+eo4nt%20+sxacHmP/j9cOMx3KZHmw9QVL1iHQIA6Tte+kMOCMhLtdACvCoVTFGLoUP33NfQnWWATXFUjHn3C%2090EjNqYdi9I0TzdxRai2Xaj90WQADGIaZZt0kMBECrfX8KQ6mE5hSNlZCLqb1iAI+YF4qCuI0NFR%20DJSM6M56QR70T1AF15JgMd72YVZuq2q9XBLso6OdRTsMLK8o3KK51+It1E0dRBPuDVaUAqE8ZJ3w%20pDjHsiwZD1ngTNHjgBLbuO1qOi0IWI6nOz4BMes6jeBxWi4dcSIB20l8kJ1YzvruIPWcuZl1DeeG%20wiLdxjDKqup4sVg2DahIOMIlX/KV7gUtfyq6TNePCagP5dJc5CbSlwRciuZ0cyaTyRe+8IW//du/%20/YM/+AN5tMRxylz39/eBBFmC5iIhh74WiwVFczoL6cG3bt0igP/WW299+tOflt/CV71tKe5vFAs2%20JMgNx/nRo0evvPJKlmUyJBWAjwD1jt3dPU6tPGwqrvq+T1tGpoJZf+bfvmjT1E2eZ9EAOoy19ZeL%204vR8tVi3ipBB4PkQ5vL9IZYbRd7Qw0TTbDi8ur9Dsa8uMsITHgbuStqjoUX5Oy/O4/H2jav7Xdfe%20e3CKuZxQF515+97T4WR8tDuqW9qYga2j41Vz+0mx7pIQojGhreiAaEP2kzaeG76G20bVpoPRH/7x%20n3zy534uzwmwx3T/67axHxgh3ghZO9LxRreNgVDHLEPD4MY4UVOJ62Yz/+HSWJ5ctVKC9mQykf1H%20otiwxSblwMOUgHsE1CcnChgmLY+lollA50/tqUXZrGpMjWuuttsKvH46TAOsD03of5XnSOR9/k+7%20CRPtZmKBxFD/ZfZVHOire9u7o8QWjd+0ia6T0YSuQLUlHZaEEJPRrD4rIfqUDgl5RxqRumbdLb6j%20qqzaqupWy4yuPI0HTd2Ba0cYNGBMx4on1grHSEHYHQCIDp9qe3cX8u6YavHaih6vqkYv19X5csWK%20h3CGSCLtDAGM28AfmFDVUhYTbp7ie2ydtxTX+Te6TKCVi5UA03haBZ13FEpDaHcSZAWdMk2RzGCW%20zVIq1dX4sGWPchmupXfu80dLrxWA+EgPQUOkabPl2Vld55TLj8ZpGChhb/m00hDQ6WZV7AEV1ny4%209GbkQJ0+j0SjiIJkpxGjYeWY7wioceDT8ZOtckqOUNyvOR1EHYWyDnp6FOYaDi5+6NNi4SVpoyiE%20vR8E6cWYEWmLM+dSnEzgXXlpMmg6O58TlFz5QDwDywpQmgXsMdFV19ZVXyQ7tQFLbEhXQIvknQdf%20dFyzj0kqupEn6/Wj+8en62xBH7X2w8mY4LGre2nWSVM/fc3dXkC1HxzrN47Dxn1RKXbHcUyIQpjm%20hK/pm3v37l27do0yIcj9RxHFZWHOhBhcdMpiEqClcSokSPoJPfLll1/++7//+5deeknAu8y1bv5Q%20vgT404NpERFsp9BP1yDYfKMt4QKN/m8yOZ+X6SamHrUhnL78xbp8+PisamyYDIyik8nL8iIeDMDk%20MqWlfL3xLu/sXtnaCRDKqkHA4u+hZ3u9aEKKUYi2LG2bS7szSkfv31+drsrByJ/n9Vt3Ho/ia6Ph%20hLD7o5PF8bJZVYE/GNP+pM/KY380WnCgZKNaDpvgiratH/yX//K/furnPzNfLBjWs0Em7UO4Hb0n%20snu9BpPTylFcaeBGqlRorMx1OJ8FKQxA6dJ3VXXuyVopezp1a62YBsF/jXkU4N+KVkLENmoB1ysJ%20hNUUV5Xowis6dmrjFcbOq3ZVt7WKKHSAyRO0OCqDiI2w/aYoS4JssQ8czxNDyo0koulhmULHzT2o%20Zs3G493pZEB7LqY456eJShNgCnqOjvCWJsSZLlcPKazv7E/mJXqnQhWkwwT15hb1gqomQNmlgxh6%20ElULUozwU9hi2TNO9QZj6zwGUJQFnVaD4YAps1DNrFrI8da1WayydVHCi49H+dlqXHCn+nA9d/fU%204p5hRWNHs2EnrCo8nj+TidKOEyfELY81vHy/oyUVh6xmVxNsW9bV208fh2gGFq2pkLJ1mPBsS0hg%20DaKYbl62WCYYEpPCjaWIljUUF+hjC+gD3Nma7MxejEGXblm1PfT6bu4gST0dMTUKcqh+4Fg80HRu%20u6oS0z5aIQSFSroCjMqy3CNd62q5OFssKLgU4FdQahHGccS6zwB5TcfCB5z/RqEepmMphJVFbv02%20iRK0hSVZ9WGYwYUwn8layrZd2VR0xkdhkMb+ep2fnR1vR5eamtUXCASBUxOw3nTnJBA6E7A3Fcp/%20KLLZRnP1K9RN1y3z7Pz4fAm2V7cmaDCdDre3qixbmTb0E1b71XQFzsjgZzdC6Rg8TgBSetoUUgm2%20C1sGM2Vh+Nprr/3jP/4jYXD6iYB3iu8b9voGdEsgJrhN30hoFpxO8J9Q/N27dz/5yU8Kx0YeKXWe%20jS6NJAH0PaUOs9lMCDlyPU6E4j1JjPr/PMmeiy8M4EDmVi+ynP2a/WgwpK2OlhB69JXpKpRtbDdO%20o4PR5PLWzsgPWkBOIIuGuzggknF/KQgDCtJ1mVVFHSl/b2u8WtWnc0pMaadGx/PiR+8+un50tCjs%20ybzOK13bMGiYzoRqti/OvVJ0pXVZNh3hlf/0n/7zz3/2l87n85ajD1w+GE447ZU+siunQeT1rgqa%20O0z4R8djKBwv2DiDy7N8+V4IESptm04RfgrCts0IQ3d+P63MXHNsOe7nZcW6ZlgwHKUQRYBOCxuG%20wNoYNnwhIcFYVZSU2/p4XXZhPNibea2qm7bEHJafENxE4YAycZs3lYl8G4GyziFdsegJjrUoiBBJ%204NmKdzEIgoODg/2trYTrw2Gkx6OYYkTbduypEtUVZopPzlcEw9OB92jRzkYRbXjTcifAqIJAnRec%20nZ/SDWl5NAnSg5RURehbsPFgyzJdOPMaHiygd7dcrwMdDIcpajsc4Chy5K13vsofPH5aV7BRgYwX%205IgqJUOt+qOQO4troovBIdw4iw4Y62LcDwxCG7LELIZxWeERtkv0KcaRR58NyP+UyMg7Hpx3jaGM%20ri6btrDM+s/mq3ydEc6YDUczwvVh1KtV0MfeURzvKAIyTZzOuTimjDAQcpu/4dMhv9LD0YA9AHQA%20EUausxu6I3VRoSRTlRQsCDVH4v8XxTGwcGcpQBOkzlbLhjEGxAIi1kcwyhXaAkEWPV/IU4RMzxfL%20KwfbRvq9OMMDwYO4IoAN6VAj3oeAOU2ovUFK0GBM8W5+fkwIYTbbKpuaXrJiGkhIsT8Ocdhh6AO5%20C5T3sS+1CRXFxXmxPH46fzKfr6oCBy1dZJwE022dYrCYZ14aXAbsNTUdDjws9TNtqNqL2jL0xler%20FcVTAs5uSJhDOcV6uglvv/329evXBd1TvO6pTUpGjTYpPIVmQujyc3kwBfrd3d3bt28TeJcBKPrh%20YDA4Pz+X3uxGsoL29oIgpDHy/MJ9ZI58IkUYN7r6TLjs+WbLtIQKdF4QFqOgFMdpVBs2Rg8J/9Rx%20RNEXpddB7B3t7+6OxrqiTV0gCw/ZPc+PjFQuTFczqR+Cd/hYalpS00F47dKWVbSYGuOHeeM9PCla%20dV50fkOrLRwEXeB1vnCCLXMjAJx9FDwJ4Rzuzn73d37vi1/6lcUq5+puYPoxWqez+t4vxZPoTq2d%20C+2dKPRZHmnWpq+xgGsmkjEB4eOy9uqcVnagKc33Q1TFWVSAWea4Hk9m333W7vOZXhEhh1ByCgHd%20Y5IVDqwmr+qy8xY1Znsml4+2tw64Gl6Ui3ldLExLe7Q0FR2a9aqtQX9U2nBDlY3kUGUHp6MB3SFO%20U8rdaceOZlt7u3uT0SQJaKEO0pjyZq9pyv7SQNFZlfWyaIez/UWpF+tusuc3lnZ7UBtd5rgDq3X5%206Mm5Hw7idET3lptqaIdSUtZKzboHz2z6062LVVU22ztTPwzYQ4keCa1mOgOW6/J0uWzEAYC15+3G%20h6PHLR/QaGV1ZQqWrZMsZEKOET9yPkuYpSKPxG6H/CNIjoYWYoAwh4+PYiRYL8CVmOmiu+FNUcDP%204VgaT6aEeIdhMKGcGrCzDQi90o6lexpFI7qVEUWBKlu1FMGjCFNdPGSoRbGGYLZyYpAy6YD/X6EP%202+ZlcXZ2RheaDkZx7BPqgZKEsqumunfnjpastcGoM45nlJ5YfL5vLjsakHINaZbX0XGcPHhyvygO%20YoLtKRsKoHoic7o8astVK5BW+IzhpkOADo2vhglEO1erBU96wUa8goU82qNQJgAZDJbBVYPSe9U2%20p2fnJ8vlvCzOiyVllA295TRKhwO6LZVH/4xQ/mLPFdYqC6VwpnnYWqufIRWyL244ET6K0ScnJxKa%20ZbK04jR5wF8//vGPCbxvjoHvfve7y+XyopyAsFzoD6fTqQRrqb3Q81y9evV73/segfeXX35ZPEDo%20i56QYD7F/U0pX/A7XYB0bun/xwAC4cXkwPsf54tQ53pFyW1p0BQcrqumrCsuN7dhSMCvTcNgNprQ%20cqJ0lR4W8OCeOymxtz3pTWIsU2AK9mrLQLkNVLI1GhVbuupW64r2YxwMp3k3oFVHeW2kIsHqIowl%20wtccMAmpRIeHl37rt377F37h8zklpBQGeVzQOUV5G27ve1RjjJh7b1xSpfgloumioI2ThLW6nCG3%20pXw8oh+Gvh7GFB1iQ9fsB0BdcOT06XTwajhLdMjaAcdsJ6bhlO76PO6OJ28bmI+y1F7RmEXZnGaV%20iYfJ7qE32oloI3tqa+/Aq9a2yy3Bv3VxenKyNi1BPT5kZAdhzAS0EBbg0aHfehSgu0Gajmbblw6v%20jgbjgW9Bggs9Ohuc3L7hLMYPl3m9zIp4fPjjd9fHi1Uy3Wpaf5r6PtfEKaM4OcvWhdnaTq0KKRSg%20akzhqFPOF8NTzlVWpnZNN58v6F+T2SQIWKsLSmycJHl2ucpWRYVjiZG+7tkvxlOb8B58sAzJ0/vd%205lh246MdV8K4u0GogCVxmWTFgUZHoQ2ghMCTZl6IolAAsQekY7plAg3qc37QJQmdd5RFozij1c5w%20FMiiwuvouuUXblrpYcymE4yA2lYoqzAR9UOW+nHT9+xtgM4DQ316ej0YpnTWjVI6G6OirlZ59vZP%203n737p3FfH7j6Pru9o5Gv7STYd/eG8HrR5ms04Bx03QQFo7iZLkgUNiEYNBGFyvSDAwxECEC2a7K%20q5laqdoQYml6MkxrFZ+eHB+fnh9eujzb3mXbGZ5DhcqHrdtmka0ePnny+PhpUde0rihJjEYDjJ/D%20BjCg4wK3O4BqR+emsEDLCSHcyhJIPKKtf2bhTMyAuk5Sb1S9y7K8d+/eF77wBULfm9Ek0QPY3t7+%20yU9+QkcsZTwi5EvBmiJvnucE9iUe0TM8ffqU8PjW1hY9lcB2+nOK9bPZjL7/0Y9+JBpk9Of0AAru%209OcUyh88eCAaMvS6dGDI+CtdHr0i/e2f/MmfdN2zyoybbf8f4YtOuvnKDGaUbaZF1XEZ2LJdQkXo%20cLqdXrm0RZmubrq6LKCmhXQWGBXKuihSIwAyf4BWIwGnVkZGfK6AE24mlLO/u1V0kV3V8WA7Csec%20gXdCCdaQEoGMiGW5SPBkuGs1Gk9//Su/8YnXXl8sM3Y/C7iW6FQzhKf4vsi+QYHP5B2cbBLTZoC6%20QY+JlIVetsGYU2AMoZ5IGVrpQRLFFD3Y9IYdOgBdOOQgjQ7pWPJ8UCG1kMOMNLsQrVCX8+oWvhyY%20UFT+oiizxiaX9rzhuPbjhhIO+FmEo/EsCkbKVlmyXpSZSmKTUwbDDqHi2ImYyOAdTGN/WRWUI3tR%20PN7a2b90NSIkn/gUa+q2QHFQhZpLi3QX86xb58slHSxn6xNzv6LLCB6lcTyN00SjCULn5vHxWVnZ%20iQ3LmnKsAnGV944w/7zejYfZdaquy7wq48hPk6QDxYO7rDUAflE1Z8slZbOG1XZErKefk/Q+MrjL%20p9L16VbHhTLrEi3X0mbLUhH/ZKkJ9LDh0K24J0xBKAA5BQVazFuZRnqw9PkSZlbDtM3xLigNWeZl%20pIORT2uV8DmKRiCrYDy1qapSQYM3sjxnLPIgEJPWEaaWHWfdWseRx19BI4/y1DDK8yLLl8enj/O6%20prtK0GS8NS3b+vHJyWA0TuOU3hPhaK7LuDEq1+ZxviN8xkENLeRSZsAhph6w3ISjMm6Yo9aBHTas%201cpp3LMRHy1c39sajI9XKF/ce/DwrXfe+aX9QymJUkg7Pzm9//jRQ/rA21IP03SQeuNUc19GeiaE%20X0KdRH6sKLPTpoGZJGBawFKqPmbROnbY06yCrz6mUC4+WqKnSlsuPJ+f/8P//W2KI9Ae6dD5pHAs%207PJNXKYfikwYxfQ33niD/vbatWsyMnr9+nX6dCj+3r9/X5B+xBQ6+qITgh4DJSr+Cf0zTdP9/f13%2033336OiI/nY8HtNTffnLX5bxVwnlomog54pUbwjU0+v2xiDY8wcHB4Z9QpXzZbDPW5394hdtdRgg%206bgou3VWYSTU90fjwXQy8dX6YH8wm0R+WQS1n0SJoVS3ow++g62Qdj4Ligkf7AUXMM8QPh/QqMF3%20fk0L2PrpIBnaSAVp3kA7nbYefWzID1mGWtgUWMYo8pjhaPi1r33t05/5bFE0dWUwr8qNUWNFztdI%20Wt8HcSdoyaVjKyqnfXAntM+zHCzoRB8/gTUK7hTBY8LsFgMxzufP1oHtAhjqiZQ1Opwdy+opfq9N%20ixSXXjtEtCBIURF0jyBZ6HGthqnIvimqkhBtUXcUyEc7u20Q5Z2h7Yb5qyhpvbapMtPl8/Xi8cnp%20Isss+8p1vfQjsgoKI+zP0DbYh8lwSKnz5SvXtnf2YgzGm6qm4xgMQPis0TXVXtnZedaeL/K8NCbp%20TFY0SjePj5MweNKB+RCDjmEpXtOuitJVXpSwnWJKBWvKBOJTZF3ig48kr/KyrOJogPLROihpfRCe%20BjLuFsvl06fHKMFhmFfGhjxndHfBnezDnJisd7GWJi8Gn3UWpeilI50THlYUFlWIacAW0gCAl+j7%20qgZBjonbKGbBoK6yJkmGNSYt42jslRQ21msfjAfAfjp3oRWGgpqXraut2WA4GLrJI1T5GbaDdqNF%20SEBzW6bznGUKHGo85DJpGq2Xc/qiDDSM48PDw73DS+/cufPk0XHeGbcTXCPUEWj6N26Y3OhJmgU2%20ZWcGg/iXfunnr1/Zq7KTuik9FVs3vaecIyF3553REpMAUPaFI6DlpjamamMTXbly5Z++/893H96L%20RuOnZ+fH88WTxycUkMe7O5PZdh344jVJ67eruaHPDRbfa0MVwq47YMoUM3ihQWSw9CxyOr4WJo99%20HGwZ9SEnfWduvXDr5o0XelIzG65WlTRRL+oKUHR+66236POk0PyLv/iLErjfZ5qz0W2XWCz8SOmp%200iPpGegYoOD+zW9+k3D9hjIvfyW6j4L9JVGQJt6NGzfW6zVlBsPhSNQ967qiNReiVdU9/8idIGsX%20plnT5YTbmUq1t7V1/eggiigM044ummyF2O3FrLzFxVmfTd+FqeaxMx0P7vFoJuWGtJwCyMjSz21Q%20tXq5KvOcYm9U0rbU8LWmPVe16ORJRKAFxvsWnUY6PX7zK1/9/Bd+ucIkNBwaGtCfIiVhxBjvPWfl%20Jr23z0So+lFsxX1hxY1UShEIokQU1hHcTYQ5R5HdACUdEN6NgPAGc/10Dw1DPAVS5M4KhPEZq/p5%20XtXCn0N5MwnoLqgwK1tCd2XtDfa2o/FkRSGQQuswRXCFUjfMk9vWLNerk/nZsshDxF2fzd9Q1Odi%20LMajKWuvmzqk/T+e+dH4ypWjySAOq9K2FNw7uv9omMGKFeVnyicoEJ+tsrw1wzgJwojif56VNk7o%204G6KGjydQIcxSuePjk9BiYaPmwYjE9g/DaARJsKwQjXu6JRCd6218xUdVTinYzomurauypOTs9P5%20Gq/vag34RFgrUXIP9RHBnYe7kKOhqkLwWvECYKawdgPDCO0A0mifUiYZqNg34OLS5TYWE7a0H7FW%20qqbJC5b6AYOF1mHqo1jjh0nnm4Y+z1G7Oj+PtKZMiQIBSCMeZJmTNKbVNBnst+h7ovtPz+cFET1p%20h5Uc2I1MoHViAjzmKUsLgiK69sNgogdDuilpNPTDcDTr5l149/z8ik52owHdIxVJaRL1MA8kywCK%20emzswPJyFFMpJJWXL+9PJ0eXDnaW8+1H998tTZ2A3QNUKH1nzHHTtQEhtq7VxCV4cYgoi8KPhnQj%20kmHiJfHffO/7Hi24pktHk/1XX6F1kFGiYWgBer3Gu2YbK9VxlO+4SBn5Hb2K5iSVMB5lHfRN6zWN%20xbwJtjNKb93HHts3BfeARcrYqcXJxUyn042ljkAFirwyX/o3f/M33/72tz/3uc8RDN8MEG1cOMRG%20ddPzlOBOMFyYMy+//DJ9/+d//ucE/7/+9a/LVKrE/Y1R32aISRg1olSzXC7pzycTOk2xaH7wgx/u%207W9T9sDLuNP/utoM/3+/aj9+0qqkLLUpItVePZzeupoO49wzSO49LlP7EeoEndQ8mEssc3RONJrH%201QkYdrZK0ogiY954GaV7OrHecJGrs0xVVdp5SaAJTVKY9lpItPvcvmN+L7JkdGJppf3JH//Pn//8%20l/PMtrXMhYKAza0/nu7k11J86nMLkIeuvY6HraWqwINUluf9gEjaEJ5KTWya1JZRB4SOgaGOMRr4%20IR07Y7MqDTB4wMK07MHGSq90FiDq+CqMLPsq4/8Uu9XTHgB+RZMV0zmh1Xuzw4ISzjaKp3sU1in6%20RjHq8y1kvQJN52idLdar0/l51TWWvYg9Ro6w2+P5KeOLFAFqRyg+m3hn92hnthM3y6jLWg1hSDo1%20g64A2ZESqTIzhNS9ZFE1pQ2iphsRxLSmavBskDEHo5WiBRIuQjclxoBEola6pF4QVt4zIyGPRyYp%20IlgQBfOmeXgeJ7HWbm6Sjo3zs+V5QfEVz0qRQDHTHcvEaHf4fwTPHW1fEEfpjwQpcidVSb1BRo3Q%202gwh8kQrTkdaIbJToteCNtQESGxwLmGOicIWwuuAUgpKAEMsi5rOAzo9CacH6TBqu1VRZLAh7FRb%20B+yNC/qn6ZI4Rp+arjBkUorPws6otHmSv6hno3GYkO4ghw1tYvhoB2ltmzt3HtCRcPXyoMnKk3Ve%20BNHK93/y5Gm4e7g/HTRtAdEtxHGcKYKLOx4J0OhN+3W5TBI1SKODywdxEs3CA4qjq/nTpqvo8Qk8%20YSEvh/okp8Ydd4yYC8YZF8ZnTBD7ZbWKcbeSa7durp8cd5OtXQpCcVK2hpAa3amQ7qHXtZ3ZpLdG%200AkdkD6Gp03T0j3UbAuGWA7jVgsZJA/DanSL6I20xv70sb1XnFfvn1vmmK5BD2i9XqhZcLeETkJP%20Esc/9alPfeYzn/mLv/iLL37xi/SNKIJt+pzyDQV9Av4yfSoyBqJMIEj89ddf/73f+70/+7M/o6Ni%20f39fdOE3nVghxYvyjOB9Qff0E04mQJshEE95W16sbt64WZmKC32d8p7fFittgWVRRbEapv7h7vjo%20YDZOKfbliiWSoPvq8xg/KtZKZq45pksiz4xaZ7ZJW6AtS6hKNobC06CxKR0Zq1KXhIxhnxQTttUy%20t206MX022o+TIUB2B+WDr3/t67/1m1+dL2FtAbMfrxWelBX1AKeKZMTYzMl/qF66mp9EOY0PmUY1%20AR0Yto1Nm3Z1amsK7iy5LkYGvpwTUgzgyoB2U2au7bfxPPC4WIPA1bLbqXO14WJ+x3CXwgShJF+b%20nd2DcP9qFqULyBfSX1MwIBxOcBuHQ5Hny8Uiy0vQOn2RHeBRWQaKAHsa4mMUNW1IWDuhtXbz6AaM%20oKtjwtNWR8g3QHOjiEd3adWWq7pReQXlHwPJ+5AphZB2YIGVzvGkwcoTkRXp8anNhDSFfYvXFHEp%20yxP0eCSIfxhJawjgahnio/OsqpbLrOT+ZKhVr9PAWg6sTPsRZRnV9yo4t+U2WudkudhzyIqQio9Q%20S6EHggxo7wFb4FWgBlOxWlMAo4qugcs4TwpryN+Und9yY8HE2o8oolk77AZ1U2aLeZoQ4IAoTuSH%20q8UCTQgQFQNC8ayfwgoTXC9RMqsi1kt9Y5MpijIxbHFtA//kcfb//PgH86w4uvJg/+Cw0LYITLo7%20zR4fv/PkgTHbW5OEoADuGh1eDRJPQEpuEeGkse3bd+7Rb4Zbu+N1uS7KJFLT2c4gjtbnx15X+RGO%20Y8028sAumkWPRR5ZbJSY3otaqoVnTWHstUuXmmT0tGvXyivKNS2f1A/iIKwJIJmut4Lc1MzwQdKP%20uO4VOBqP1MsgPdHWDcacFY+8avsxoPZ+COhD6nSitMmS2VrwspRlNlZnEqwldn/yk58k3P3mm28O%20h0MC+EmSbHTENix1kSIQQK0umHPJCfHKK68Q/H/8+LEI18jJIXxHzDHwvOumJiM1n9VqtbW1JXeH%20coibN2+MxkNKqwXym+fbjUl1lS7a0Z734tGVK/uTNOwUYXYEHd9JhYgXAhSLepdps5GV85wLJuuj%201sYryxpF43Bg1aCo9WLdFlXQdDx2RGGQzkcrckv8ebNwBu2fumkHo/HvfOMbX/zSF0/PEK2UiGtb%20cRoWmRlhqTu3Uoknz8TCeIGyNrVlDInWkN8RbK9D20WmCQDPOyfMyiIhTBRyM5OeEvax5cIIS2D3%20dnpOE6pf/PIjiCh6/TnC3dqGR1uybI05xeFMleUgTjULgWA0smsCAn7GLBZnp2fnRZZ3PL2oGZv1%20TTzh3jizSzg1RelgEL1041IamWyF8AD8bbK6xXlBz1YWpVfXrU5XZTNfZgTa/DhtPIjTA3fBVK9z%20Hoqu1kCHE5+Rbq+JVjyd4i13uK2o8UqBhrLcqm58nTuHYcz0tDytVbV1zVVgr+8qiXiBd1H/NPiw%20qowvdBmO7Z0zjehEMp1HIv3Qj0LK47ibCiVf9PkoQnUNPKu0jlhIDkmPpZOT1g0dmhVG6EMsEUIO%20FBLxkArTn1cuHeiqXJ0cB3EYJegZrPP1HgTwQxx7vg2gCY+qgKeV7b1RRJfdcRcxHKp6uReN4kqs%20gtlw74Vr9enZOrADv6s9MA/CQbRz/ap3ev5oebau9NZkOtVj2kCQJ8RAGWco3L+t2vZ4mb119+Gq%206X5hsbp0sLs1SbfGFKiSdLxN+XEUBE1TUEqtnPWTh0lSzeJovc0F06koafFRpGtaCnODMDDZ0ovA%205bU8nUxHCopCHO9YJuxZGNK9CYc0wkUBQPxsZKtbMQPjj+xnRP6T5fjo0YPlYhlRchjHT58+3dvb%20k6C5oI3CxBgKrBJDhRa5s7NDYZ1i8YMHDzacSPmih4kijdRk6Blu37595cqV2WxGT17XNYVmCt9H%20R0eiNfbkyRMZc5XaDv2W/qQsS4L/Eu5lDpYOku3tba/vrtMlHRwcwFcHKVn3nDMjQ6/ZH3m3Lu1c%202aclpg0l91gVcrAqV4BE8YT9L8zGyIQ3dSfeG8ga67YtIbTp6zBValiUwWLVrUs2hkYMRyA3FOTF%20HLKXvKMPh47L0WT29d/+xq/8+y+XZbXOah3E6r1ER3ld8wxOs4aGkCL7QjmP4VgW7MLYI526hNMT%20U0WmC1FVb3zrFFAZuXq9M6qTfmI+lpi/eyL7vEEP/PvOEemFUaHZr5kJl2CdoPeKElxJSK2gRy0p%2086UzbZQmNoxKisKazqtuVWXLxcnZfJlXtUXjDYhYaCKya43Xm7siZxzZMNnf29qfBMXypCvy2KsD%20wBKbt6pCJTLihCGk/whKr6tODQYdRtzBv2mZFs6iOM7RmUmLUGfpjUUFCSJdURsfaKV6FXRhx0FM%20gSsmeAjl66j1A9b4EjSUS21Am9HiXvRRbJl+9EM7LdzOsG0G13RY5Y3OIqgchRGl4k4tBfALCo70%20iSYhShxe0w3SwdZw+PjJk+U645kvLyIMznUtlFjgsEuX1Sah98K1Kwez6b1336E1fWV326+rrFjT%20XzSWUEiCblPAsUsrN0ArMi6ei/OOzsizbu7i6aOhQJtGw/3tm5f2TU3ZVcDDDp1OCPtRsNXhJA3o%200KV3WGWxH4aYieBRDr6PHvcJw/HERqffe/Mn88X6M6+/8vKta3Web43T8XAURwHdTALdTbkQCOGJ%20pzWOI7C9+G6J4A4+ItjJal15ZprG4Rwz5HSOeQFhGmQ4gTOyU5tq8gVVW6fLYUXSS9pV4q0qxn4B%20vMghsuPrnxq8i/fWM78T2ch0mCfpYIrgSymqrioQY+iLXvf8/Pzv/u7vKBD/xm/8huzGgAf53nnn%20neVyef36dYryUmQX6EGxWIaP6DFCdrxz587du3fpAS+//DKBdMkAbty4QWfGd77znT/90z+lY2Aj%20SiPnwcOHD+nxdB7IT6RWQ99QQOc9g8EIes7DwwM/QK22aWrWejUXbqyrDHOl8d8e1KeBfeFycv1g%20ptucQpMlSNlUtO7Nxm/G6E45JkofYnlzMhbonJ6LqqxXe6EKEuulZaFXmc7LoLZ+pyLm67KwLE+Z%20axap5pIvbUgItnz5V3/9i1/4laZV81WJ+RTPt/a9VJiNo/tmXomlY9o+g5ZLow8DdYiuVZRstS0F%2097QrYRrkgQnjs+o2H1lcunxPp4fDu3ZW9u9rAXGC1js/PKNyK2kFsCkdMxlCmMviUU0TYk6AcHPl%200brlo42O+mINh1mCvshzeOtw6YgLJVLedybgHiRe03E0Gt84ujQJ2jpfNhxIE/qEAN6DGgxvrhOo%20uOv8nJ7UAj/W4P5A+gxiDkh2rVY9xBbjNAiL9+J3Fy2pdO9bdcGV02k3gioiHUIRLBfD5d4x2in3%20KtOL5n44cldsgyrCYsalf/6FYizLWymuM2sRehZRXczKodhOocqzh9t7r736CQJT3/q//vbs9JRS%20FS7UyfwRxgVojWHa2prZeLw9oQQ6eenFm21TjsIwpQg4nZycnXTIr0UPirG0doc7s3TMxujT6RKJ%20v7bMKaMnwo07eij9PYtIRH4A2pIyYRwlfqATHekUT0Twu2qr1lC8hlNey+U7mIPEV199bWmCt3/0%20xt1HTxSLKHzi1rXYDw4uzQjCLufzssxDFo6xxuoNvdpJfzmjKTpWTFUFbHNar9c6DHYmY/qQ6iik%20s6vlJpLfr2LlqPsXzSVYoOwCZdsx8MXujOUgmSTqq49niEl69Y7+34dUvbe7f/XqNXrFp09Prl+/%20cfnyZYtb6xdF8eqrr1KkJtydgI3bibueiIhR4L558+YzEjTTXeg8mEwmgvSlifoCfwkql74rfeq3%20bt369re/TRifwLtMM202OT0MikO9eOR7qD2eE6FqgHy1iC2DY2O6jbiGtHV77cLngkuzvzPdm0a2%20WiGiBqHw1Sj/7oXFPZmuN/oimJZ2WCfvhPADYhzluVFMQCIv9Wpt6kobPYRCK9hqFMRaYaZLUYY5%20lDLgrz7/hS/92q/9plHBYpFxjyOGJw1aGmZDnOt32TMaXa/j8yyzFIlqX1iaXUMJc2yq2NYU033U%2016HNtYmg2nhmoxXGC84+U6aDXo5xvQWvNw2XFMV2PV9Qu+FwKdZzBqP9ms6VDsSbDowpn1JrWxXQ%20HIh1ZZv14rgsMk+0EZhd3fEMEkrhMmvjegt0CtFvk3Q4vHZpbxJ2VejV4ZCiSWyKoC18E2g7rvIK%20fQOry5YypKaCrWpUg/CJuSh6q43tIu30seX2cc6B4SzPjXyzEVtXy+yACEspyc/wJHxDJJTA6Kpx%20w4AeOyjDD0VtbK17Vzu1mVJ9v1kHMo04KvKMu5Q+xlfaTuO85csJWE8tiCRVDKGy0PAR5QW0sdt2%20azJ55dbNm9euQvvFM6/cPLp7992KXT4CHVNeTycBVJgTSj7bPFtc25tCCKiBClhIuBr31053phQT%20q7qMEkLaAcEKvvlaGKluKsJ/5gwgbRYjvshYFB1lp3Ro0582WtHbCVp0NVjpHg6+aAaFYcEZiU+Q%20N7a2pVOdD7Kwf35ryjDYu36jsW325FGODvU8eOmF4XDEIg+YFlFBXK4Wge6iMPZBcWG3AacwLIGe%200lBQoCi2BC0dJybVemuQLtbrGsKdmq7NYyNnrEznWCVkbSXU/oBH00DvQ6GuM5s5QPh3dCzEiffk%20+mkf5+TSe4t10ohR6smTR1evXmUio5X6O0VhirN5noszqsi80A//+q//+sGDBwTeN9rr9Cshp0sV%20fkOeoaOCzgZC+nt7e3I80P+nM+Pdd9/9wQ9+8Mu//MtSZN/IHsi4E5uj6ov1FuxPJj5JBJdaPAzY%20gvg5p0KOk2hriMyWQSkre6NWAJ6YpoSSQ2DZNkXZoKcuFnEIvg3M+cKI/qACDy70grQzUVmpolRV%20S5g9QoEEBtBM8+WZQ9aS9WI6R8Oorbu8KD7/hV/+97/263RIFOvCslQYAq8LrKoffVDSRN/IhPE0%20hMBcp4KnHDRVYaC6qiaQHCkvVgSmG2Ety1SqqzzwxcjMDM8odVJxkq33HqlS12SwfRl2Y79smPON%20iRnDTApCThU+cQOucFujwG4tpZtlUxfFygyiLvTy5bwqi5oNweh1WC9XklTPzYq4piZrPlmVxvGl%207bFXrSH92LFNsqKzysAkQCdd2cBPuakoSq5XWZDEJghL1Ew0vOg0IIZCLt95G997DKuzJfWzQ7Pj%20vrYnfdbesY0lDYz4mjgvTkyGCgPdMonS1cYst/a0q9I783H1oTx3/gxBgnxmHMT8DRD8EXIC2Ibj%20L1UwCDE41FYww0u0unnt2gvXb2yNBrqumqoOouDq7u6NS5ffvHt3PBoQDMjXRTJIKGTRHc3z7NGT%20h12TU/zbnUy3RqNhHIUowGiXmvDBiiWrRcvFl4DpCOm8mEyf7VzQksVCCztIYGBkGcwdlL58vuNw%20u+KMHGzN2JdBDHYJY1u8zkkmod8AU1p/tLvzYhrd9+3DN3+4XM49np179Ogx3YzBeEwHmG5S32vA%20HCVsji44hpqEVsRkXNHJ01xVN5HnVTACVnSvMFURph2HSC1aTZrdaVyRkSE7By+tNt7CTtlfFrkW%20dRvcIl/aTD+78XjYbAbBYrnsNdORWVKwFnVGUYjcGONJkYSiMyF3OsgT9gqnBxNsoHBPv93e3t7A%20efonPQBD98Oh/FNq9xS+j46OHj9+DI4sk+IF/hCWFxUaeZX3XqXl5hiimNB4IAEPvcDmvefVczfK%20hHSY+6eWndulhMIVcfwPJgE71nbiFiUlkQwKUXWFaljj1R2tczoG4qoJlqVXVbauVNvoFpFducq2%20YZ1rVt+DZlaNUa+srD79mc/9T3/4x2k6LotmY3Xaucq6k2UUS6YNgnej3GLqI8iyNw8TiRMcPx0a%20mKHyQh8EduW5+RI3Mqg21DzHZPZ6MQPvgmQ/V8A9e7EoZJjogao3rEJVn4wgV2O5X3gecEHJwCac%20271NwxSe2k/89WJd5IXhvgAXJMS4vk9XhWniTpAwTCgkjT/92qs740GQr+khEUOssqsg9FN2BYZq%20fM3OsVnZLPKitSMWfgk0iInKeRt5rgfslHUZhvY5kFOihiKmnDHehl3An5cGA0bI5+4hkkv1Sk9O%20TV+qdSLk2DedPyS4C/ISRqDXpxJS5xb4DKk47Q/iAdoQTRvTMmy7SZq8dHR04/DyJEltU3tNk8SQ%20g9waDF5/9ZWHJ08bnKWYp2xr6xMqp6BumnVX/9MP3nj86OEv/btPffLFlwZgoQKqgrSCqCcDaKE4%20cmsVyJL3+hNO9QVJplw8a68jjeB5BOXU1lGuCeC94oEYyvQWxM3Q9zoZxEJAxQLRsAOs6fA3LdsF%20qKauIgX9sq2tyWiY3Lt3Z5LGwwnEmtfZerWstwd0gkZmo63Fg8TSBJPN0eH4ZcavNj7OGHRi6Umy%20rPB9SGyjVm6s11u/OOoIG3A492dre2rZZnPxSRvA9SxkjcrO8342LqGO0SbljpOTYym/bHgvov0i%204jBABK2T9qWI/MUvfvH27dtvv/02RXnkS3CgbxaLJe0YestlWYm5ttTKp9MZDJsx8CU+1zBWff31%2018/Ozt566y16BtnqRZETwAd73X64egx39EAB2N/ba1p6Np9JnJr7sc9vcGclcpeWGe1QpPY5tHHH%20AtQolsBzQ/xcm2Dx+rDBjERo/Lis/XVp6b+6YZVQpnu8x5lH6h+8dnQQZkXzuc996T/+x/+8tb1z%20djZnxVQPvWf+aFkFVFCdo+aIM67nsHovTctCSyJGoMRKralpIei2Cm2X0PLvxOhSbLNFBljQt7hf%20W6FGGIds39Nw6mdc+3/yUBa4dyBLNy2n4DK4A1GdDoVwn8kXPOKnZOCpauqGdcbLsjl+crY8W9PV%200aHDmkya5cx5g2nPTUaKeLaKdDgcJ+nR/k6znJtyTRgqCgMOKqpBwO18r6KA37Ic6Xq9WixXNp7A%20lhXRRGaCuFTgjJpVr1+FvWCNK2oZ23eAxL5BHuoYpxfkXzbF9b6S5Yyje8OoPqxL1fojnJjoVlRF%20iRNK6O1SftWo7TEZhC6X8HUU+VFM/67zpsi2h4NXbly/tr8X0vuo6EP1Igo8neUYba7t73/ihRf+%208fvfS8YTzBQ0XgldTuuPBgc3jwhpERC+++D+zYPLYWO70h9NB7KMQnxOEY+kck8fYmQ+l6Drnrdn%20xPwanhcsTyOwl3XBWGJCwxSx1SxiyWBXSlzMOdG69py7H3vFtFgcFNa7qoPKfMuFtxD884Ju0uuf%20/MRLe9vF+cn9e+/uH+7Hg7TMvXQQU6KMaQo0NAN47KHP0XLnk7ep57kOCp2/HThCYWtj5VFwX7am%20wEwFTkp8XiJmy1tF9brpbiO4qqSQFThn4Y8ULxrReot8JkiZjzlm2Yty53R1tHwp4B7sH2JWVhIO%20+INTMLCDQco3V7FcBGYdG+YgfulLX/zOd75z69aN0WjMjdBHdHLv7e3V3DVVTlWCpcd8fT6fs9eS%20L+xbeubxePTqqy/fu3efTtHhaEQLkk6X7e0t+jlFu/fVZHoEzK2mzhyfnBxeOkRJ0bRSzvUuKuY9%20Z6ozQldgWxnt6mvIwtmjt8XcPRAXyMjac51MbHLC7JxoRp4/sDZegbDrtSrtAGNQ2PG5ttvZCiYU%204nYmFmYYFw9+8fOf/93f+V3KmU9OzunssDwbiFF+yG9BxU9xlYSVBoxjbYlItQv3/YnB37OTGP+m%20RncqburIMyFGUtmvTfzge4VgzgWMdvUHoazrZx0ld764AmVP0TF1hSoMfaYlxSguF9c8RgUKJZ9j%20OM8ohUE5AzdOGON12xhfVUYti/Lp07Myq00wQCeMo60VOqGWfqq0vDhtDhM/GR3ubMVtUSyyGNmR%20RZako5oQKoauKHyI8zumY/IsI0SYjoYmihvw2gF5lDTH+EZpx5fxhFbeOXu7ngrr2QvdBeU5Cwpn%20VCIJuwwEbKRgRMlH9e2O/jiwnee0wz6A3JloXNWVuJqI9L6zXfN4QSG6U1SJEM1YB/hguv3Jl2/u%20T8d0LOgOnyUM9niygRZXU9dBkrz24ov3Hj1clnUYpAWMwqvaa9NBMDncG42SH2fZnfv3Tq7c3Lp0%20bZXnjW2iMIIDRxRDXkWx4yOPSYpENEpUQpGVHgxfljv7NeegWnpFkMPmDg4Ejt3igdkTCj44rDKB%207YI/0Ddo2aODz9SA9SpgMEIHMGVhu3uXKaqcrE+Vbc7PTg/HR/v7e4GvhqENROo3RpoBWupqZZ1v%20hDbOGww7BnR1iLDjqZMgnKQqW+ahn7Ateis5m2brGRltVZyyMkYW4pfnCp5M8UAiw05UYQS1aDAT%20zE8bzJ/ZW3MT98J+pj3UzRdnFLuTQSL/5in/FqUqz5tOr965c2c0HgwGQ1ysBgOjaYpr166sVosf%20/PCN1z7xGh0M8/PTy1cvx3GAqW6fS0nKLpaL87Ozo+vXTk6P0zSBQjcvX1+rssyPrsHz+q233zq8%20dEBHLj341VdeFcK1L9ykftzdzUixwBVd2Pe//91rR1fSwSVuzbWik8P7yLy3+fpcfLFNhC8iUMz0%201hBMJ2wO22AjN8rlm3AlFfUMHwYwOFIj0+ms6rKcFnCqwwnTghsu0dJDWxDAFMtJ08cCNS5MIP7c%20pz7zB//hD2ezrYcPnzL3FyQ3FIqVsHBaFhyzG69N0zMsvE0e9yyZ3Dj+4u5iVKSuI4j30osxeLaB%20AYusJx24aRVtRYIWUoe6F7zynqlL8tSS5AsS5E2LIjujTiexbek2sbm4SPNQZCKkAO09Aqnc8YQq%20ryU4H2Z1fbxYrlcVT1z64qJne+LDM5DglLMp8Q89P5kO0m41tyEFcgqLeRTQ0yZlMGp0RNlrZCmd%20CihwNHWZrxa0X4fDQQ5fCC+QwSiudnTGdVOfrTZ4CekL65awM2VlbV9h8WyPw91coemb1Zs6smtO%20WKkk2f4U9N67rN9flukct92yKYbLlbiWDNodRq18CpitbSgwqeuX9l46PNylPQkhI3RwfSkZ4zg2%200NzyQ4IdO+Pxpz/x2t//0/fos8DPQJSCHQkFpSBKJ4eXjn/8zn/9p29nL2eX93ZmgfXH7M3ui36L%20I8pwcUVzPUb3gmFOMIfnIZSz/baasrAi8AuettIyWkt4kMV6O1Z1x/uqW1W37OrujlWAIMz4B2z5%20iBZx2LZhW0aJt7W3NRvGxjTTrdmlg4Px7t7k2tWEYGbbQYoaUZk3Hx1reVbjxaXSxiBb7CJhxAjR%20aProQ6US7U+T8GyxbkDkqm2A3JsuMGQGxJCOiTCCgjkborfcYWAXXO31HRDMdbHuAStwsEOe/Wmj%20+4ZuKAIVPX0WuIlA92g4vHXrFkFsA7MeJOb0PYX7H7355nwxPzw8pAOuFxz1mM6OPtInXn31X374%20xo/e/OFwONzb32GNX+uqTXxndna2zs5Obt9+V4iSXHDvCD7I9C8lAUdH1+7eu/f0yRM6Oq5cuURP%20e3Z2enp2SvdHWqzqwpdxWmZoRa6Wq8OD/X5UqgfsmzhknyPwzmp7YqXjpJ+4xN5AK0WJ2gmyfYNj%20jQEvBE1pdUfKxrSllqvuPK8bm+hobFXEgK8FmdprnQMZuMemB3j6tdde//rXvzEcThaLNa010XFU%20jr3BAgNW6pXK2yw405cG1KZu4maZeiVVAeUUBygS1oRjaCOJ0PhGpFCM81xfVPXUDrVRjXSlzQsq%20b+4/wRjpIIF0HXdYO/h9qPPFoqOIXeSswwVdsMCDFyo9B8V5AHi4JkWYXPLDJ8dnlIr7YdwPy7ho%20bkRiVkERgecK6GCE5HCsu2rx5FSpKtZJRPe/M5is7epAVZCUyW1XNtoEQVgVq/U697yB1pFlLowv%20ByvPaXFpTGxNVC9N4m8qXFIq7ziy2wspqMPs1nsmrtmjdq8f3HLKib1EsN2U8D+UCslzXzIuazv+%20fCWmWh1aP1QRXKrDoFNmNYiSFw4PXjq8NCKYvlgECkoELLbCqpXKtXjBL6coXzYvX756/ODJD588%20CtMB3csaxlOE4DT97+T6raLt3n33Jw//4b9+5bOf/cLep+gMBjEZa5j9WZUM7zrQ0PLsTj8SLWvX%20tIRa6J4O0shXRdmeVWWmdAKLGVfQWzUVXES0uzMB83vZ4oXV+aHG7Fsm9nPnxAs6MyjnE89sTUd7%20Ry8dzrYmKMEN0yiGOT1rqdsg4Jkw9xFQplAbU7TRMIBRGXpKUE5jO3B29sX0F606Ohnrjh6zlUbn%20RUFrCgYdTZlazI1QtnI4muzMtp9SAMvWlbKVR/+ppuYYz3uV7R7RoAih+UKvQO8eEpEfW6yRpI3x%20QRAEaRpfvnQwHk/ENYkJPFyQ0Vq8ren9oQbStr2r8DNuMqVuL73w4vn8nD5Qiuxshqw3rRG624TN%20x6MxfUO/jaMYE/As20A/gf9GU1NMf+GFF9arVZImwwFei37iMX1ImhPKZb5e3wxEg+0rX/n12Wwq%20ZEGwlYy0/jb0quetLMOBmH0pmLTBRThW04AYSeeBrq1aH844PoWvmtAi6nxx2YZnRXee2bKOw5BW%20K8GEGntYI1i0TiQcxwPt6appCAu88vJLX/nN39rdO6CI2LZCpDQCM5GRcZEB3V2v3SBz41x9XQPI%20Dbuzh48nRU5YCrVeU6l6FXfryGRhg36ngbYHfSKNjCOw0qL4uggVUbNiuMvIQe+rG7DjgqAqCtM1%20PhsrgxbCvybE0UFhFlGgqZuirgMIPVJaoOZ5XjZ1FA9CT6dRMhomtAraCmdbrP2i7J4u5qerbLp/%20aQ3vImb6WRhdVGCxhWDJ2SYxBcW3zIvX/niShMPq7SfvLopArZbLfJmlYbg1nQwns/HWXpgMA68e%20xokXjZKU7pQt6d3rqaeHlRRXjQ08etsIYXzIyci67fewq6SLjCM3ltlbwlXNRedRbZw0HG3XcyUK%20qc1ISV57jixjnGQvWs1dz2r6oJ47d1KcFV+fdxFGhPFckBKyNe0wCV+8eunGzt6ArqAsvbZBDsdG%20pJ6SeiAs5egyG1b/oG/Gw8G/e+XFh/k840umpRDEMUXhQrVRqC5dv743Hs3v3AkGCSvd+sISuWCA%20KTtTyO5ioO4K0grZBrsVxSmEIDx4Qd4u7kHkLi9QpPcpye1Cn0m9PFEg9V7WyuXqByuzQU4H018W%20FF064pV3aXfnynR8aW93e7o7iId43YblLXhEg3MFXXWSqDKfC6R5euKYbq/Pdqna4SHthCjFMaZu%20YP+SqmmarPOcbllbdUlrYq+d6HR3Mpklw2kyiA/j7unjh+uzFq13n7Y1V17AkQyhjunJe+EcRrM8%20w8cl+Ws3k4EoM7Kq5eVLlyVu0s6DaHZep4O0KksKnRTWxfEuTVN7UW9UZi+jKFuvd3d367qpStp+%20ITcOTdOiDMz5dDMej+klWGWuYNEYX8ZfMTbMJSCC59MZbD2KkmV+Y3r7Y3btUBf5+B5fIfSHm/ra%209lXUFrRKaAdKUeE9Q0zP1xe3U41Mf3sbpM3BD2VBdqSDWTxKnVHZ2azpVDwsquBkWWWFzqXs7qe0%201jtbGPgZu7QWikw6gBo4wJq/vbf/la9+9catGxQMZZc7pKeE2IjRE4bfTtJAGJCuCsNayn0BQPqA%20VkzaXU3PNLop/KaMTRPA2j7oRz/E+IetB3zt9UTh3qUZNSYQ4ymCwLQAxCDULVCEYLlvaXByLEIx%20gXccfbh1XXUo08ClR7wyOlazonM/xPCS4ijkE95aFeX945NgNMgpreA6LXz2DNdrwR0KjIxPmZrQ%20nyEgG40pJI+a49Bb56X/9Mnj9SpT1n/jh/loMJjNZrQxaiitp9F4loza4d7e8fLIbk2Nn1IuHvQt%20CJlM1cxS9DY+SW5+yPYaslJqNXYjx2Of+QD3WrNCIxEukmd7qXMp2GgX9z3rCEzeR5RlJJ1jRglL%20dG3mYW3ge0kIflms1Y39w2vbu4lRbVn6nYmTBPLonrM/dkOUinNLzpwZzNvDg4Mrlw/eefgINZBQ%20etwdfLGqeprG4+l2sl/v7RwEwtzW+plbs3U0EsdYcqoUfZ7trhF+uX5M53QwDIJEdTFOZQXtXShA%20IqSgjq/hiwr6BAriLPoL8o/CQJ5hrhELXMxGQ4rpR3uzYcDCNrAMhfMW22+BsIAVLRX7dmPehAYY%20j8bGbbOKOI5zvYa+i7gRyhLtUKMxCSb2fBX6MW2Wyoyh9xAMgmg7GU3jQRpGdGf8JIomqan8qqug%20wRb6TE9FHVbFED/uYMrAOsGWTcE/PmEsxeO+ODECCLnAHwA33WcmDG0q0IuDBp8SBLKZEDkaDqu6%202jghbr7or0OWE2A1T5/NNMDNJ9jIjMZIVGsoatM3SYxzkZ4wjiDwlOdZry7QSAeVAz13raHbZAhU%20dNzrc5xRDo0ehIgJ+3dFUaJRE6hnnK9N5eo5C/H/L3tfwizXcZ3X3Xef5a14wMNKitolSpFly3Fo%20M7bkRYktx0n+QqryJ/MHklSlEke2IzuRbEkUCRB428zcvZec75y+9w1IKCVbSpl0YQokgHkP82bu%207T59lm+hrHPb9fkI/ULugSBpz0QPds7yVDpot4P5Thp00ffJxXV7eQ3ZU80NUIaeQGtVxpee+wDg%2041HUYxTd8dHdP/uzf/fPvvFrl5c3bL3Ck37OpyMxyN0SlqTa9LdqA0HdKh9MXDCpSo2XqVJgBLWG%20pAjECYUsLq2ZiWgf78DckZHKC6HfukybLE/brumahvaoWCzExFQgOp5Bxox84pjuesrf256eqUra%20UiAvsn1J6O3o2ORY52kz9i82Vzdtc3h0sBnbkMD8Lcomq6gkizUFWyQMOKiGKnJaQYBHV2ne+KHp%20a/pGigS0yA8O1vR/5UWURe821zft9iBNrHlSLsprKAPYlP2QWRdKNNUiKmVumTDoVfLgqacyF7xT%20cz6o+TkfeZqTpJZny0IdqyAl0Ly5oz+hVl/VlmFlR8DBHXeoDfeMWATS+LahFfSZJ4++eP/Rgmqu%20egdJrCyn8Nj7EXrNZnYCYT0hltNCg8mrtm50mT25f/7hxYvWj3lR7mgpg6SjQcDv/dWzy3JUqyWM%2006B/lhgV5UzxyQHVEa8kEVyfPwqPpOll2CvKjU3j4aDYht32pMiefP5zKlEURygc7erd4BkPAxBV%20Pyjdc6cc5hhGZSzRm3l/WFb3H5zdv3P3kPJQOp/dCFGgQG81M9AbZY6ySeQYjjI8cmKiaoEeHp0e%203cCNI5jWMjJBpVyEslNw8AU7K91QEqrVvfU6gKWSdNt2VSzW1YoqU6WGehw2YeyVS3NjGztKqUZp%20Bl0bRkB6LarxKOYVxADVrwotE9uCPIEEiJ4uvrUlCw9YSEKixKEqiXX7fDs2WI4J+h6i7fUyZZyC%20OxXa6B5phGbLWAs3KfciHojoLw50LZ47yF5F8CvPC76rAFyO45BEHLgXe7M4yVBGvUSTRycgzXOq%20CTD6x7Bbi5vz1Cj+JGbu9IE2zVh2veV0kq4lfJxTwKU1vNd5Rp3kI9V4fUcpqtfVi8v2xRVF9kKl%20hWFuixtbRjmKUIqOyKEkgT2eSh8+fOP3fu+P3nnndy4vrugCmijW4aQhI/2rvfAtuawOLwf3qbcb%20QZGR7c7SnJox+LCSgGaLZNxB82nhE7Z3MLNG0uxwK+R2hNoM3SbKJLq+3Tq4Kpkiy9GSlVseyfo4%20gxjvz5AcO3Q9PQZJC2i7QXye5TMHLrCTDCfcTVM/21yn66qmvZ/AV0I7xr9zh5OHDZaJLgHdaAqk%20lHJRsAuUGYAyRodN09zkycInZgBlakn3KGcaNr21ItdqobLVQoOjmQpmRypFy60Lzws0Nhn8S7lF%20/GsM7+Z2xiB9MMYYKRWl2EKMMrHUMcx5uj0POIWnZxI1O9e+aqDKFE8G24p7Kv8QULWspdj3+N7d%20Lz14fEiFzK7OMJ5Ax7f3tChdpqcaOYJrFDfrDVXgUoP5fjheLp6cn/3kvWe083oUdNmWAjHEamnZ%20jkcHR8tqJek1bUwX0d9qvjKz/pmaMOByHuZZQeG7HwfbjPWOKs5GdwNFzYfrg3JR0S1BZ5pChrV1%2013ZdS2uggcAQ4hGVV5R4Bvr+RXVycHjv6PigXCZe2e3OZwWPPwER68dAmyTPRZHexMJLCaVQT7Ab%20ZOZ0Do6jDxXbdvOxCLCaYXM8jFhpxVJ8qhPr8iI/OTjOympo1Y3bUcK+KKoGo+aRDsu6a2psjiFz%20dAk7Wi0ldLsg1Q1nTGuBaaAkhntNLHwWfnWZO45VeKcY9PUVsHGWhfULGbtStLastc8UWrivtW1L%2033lbuU3glYo+3Uj18yBZtUhC4pDQYmk9ciCLDd/oOc7fJg1Z4OW8FyINS2p4dnrTokYQuCxUapIJ%205Rk2ZlNWwgGCTtcNGfQ7/c9F8X8SHlT4hqTtPGSoU8xU8gz4LTQ3lRBSFTyT6N6XB3WbXG6HzYYW%203FpnJXt0aOm1sjBpMikwYZjUD3Skhrc++7nv/cm/fftrv/b8+YWK1anINLDsr4q0d+/DJLkz0ynU%20LNk/2/fM2tDYkz7qHtEuVo4lE/oeAlSosERFwavo6holgSPbWc3OxVRB04qiE665urykJbFcLmid%20A0+lRF3YRW49JDGBbR0xxYNE2o62igpZXlC1Rhl3bsBYtBgXYs3QoWP77mJ7TVnd4uD0itKprHLc%205DFR9mwKLZANRO5Eb62oFnh7HCFa299sLrCikHiwGgrlGcOggGXIHUwPt/kiaVXo4W8M4/s8MIGL%20IqRPWENnUmzYi+q3mjEvnZv6loYZobA+6ofxHcM0lMGPwt8RVxM9ibfrPdHYnxvcGXUBuhd7o9Jb%20tAmrrFKi9ca9e1/7zFsHlCZv6pzlrgxUxSGVT7kkW4F4HaYmCtf1KBStTTCITS2dz8E/PjvbXmxe%207JrCwOfDZAeWYjGFBm3uHp0sET3Z64vtm9AHQ74WSUtKGG565kZHihL33NHV67puVzduHJdJsdn1%20f/eX/6daLGAwnbLiNx2uxlRJpbMqYb4Uvbe277oeOT1Mm0ChCUNXp0wWgdG4YeOOREi58PFycbDA%201oWUVTkW3NVylT3yD3rxpEB1B4R+xp3HhJtKXoxSUkZvrMtifXjoGHdWLtfapnTu0Mqmc4gCkh+H%20nILp2FeUvKu8dEOvKUlTOQoAhVJndD1lyiwIiXc04A39kizJEF+CK0qsrkwE6pkhDHkSBJCAPFqE%2051N0aXwPBiBaNtZ/1BODnh/AJEpnvd8o7WbE4MnJhE0oisxNNnFYxHxhH2mKAv0O3Fhjm64J+RFm%208Wc9kSRNVMYVaLFAF8QE4iOwT62nQPYJiO9FuSgWhxTiresArKUjHAWthdgR98KpLu5VMrq06czF%20zbhtDHp4qmrhO4dJA31YOIyiX8A1nuK946jqCp956wv/5k///ee+8OXdtuFujEpTI1ICyOOUeGDp%20Ca7i/V6CGTvCPF43k5uE0CwmW4kgCAphOyH2juMEVtCTsaqKL66nLDRqqsjto5rZtZsNBUr6UetV%20Cc2RLGOQPndUBUkPxvjo+aijXJ1Sw9abbU/BJymrFcV7qrE1ZoP4yUgOEtPbcVu39KtaL+k1KDfq%208DF8JO4wcEh2rsOsLLi0oGRhvTwY6CMNtaUSsdturoFxhH485a9pTpeHkjxPwX2xAqghpZCQ1N64%20amkVtDfAWsHKFdKkiHZzZ0bPS1DvoY61n8WObs2rYokpiG4htqi4S0QgOap8xy4+Cihmikk7AT/M%2061cyVONElHklkM8yOWhwzj08Ovjs+flRnum+S5Cny6nupLUWVcx9mNXcWNvG8ziTzclHpnw6e1Qs%20zk9Or25agOo8XLUpuR6Hjnbt0XKZA90nOE66aymGq7witMRHttEW1WeeomABpUnGUzjNPMm8rApL%20fx2MLhMQsqgi2KE9R4sOPt6UEDDGMnG2TPXyYL3Ks0onocj4GjLSQmxyA3fMo6uXgYQelcNKx00Q%20hViFuyvaPqiBaVUVRVXRanM7tnbyTGWKikGBGbZ0Viyr5TB2VMOCBJ3CkL46zJuhf351xcM1SHpS%20knxK2QEfz32at/AGMH6w9Aw+MOAVSINlOmW9/uU1IadhaKyY6VSbiHHaR5A42mxSv2tWLhXgpKSK%20t4jDvcTYsBrBHhlKz1E+WjZGuHEkbUSywm3PMURdDhMFOibkXORpzwy+mWEdZt7fpIoTPpa2a6He%20aKXUJ0Tn3fBGgVgqmBDCazQhL8rRafQGaTUmi3pQH7zYbGuKYafKVKNNHFOEHKstFpQDSOy1gRVE%20wXF79Ojh9773Zw8ePnz69GmeLyiRoURrWRUClobtMbfNL68u6L6sVysDY6FRMAci4g5wqjhxS1HF%20bW9BXovFIpf6uD12GHgmBDEr2nFsPql91Ipkr1/uohkGHgDaWBWM96Ag2rbNlkLoellRqTdV5axl%20ldF6g34B824CU0r1tu92o6dfFn7axsmqoUKYTkfb5dBdQbDsQa24wpY0Wd9TipnjtURQEVvWRBq5%20sjC7oZgRVJlVWbm0bWObrctc1/dN24GRhN6pEW9YNksDG8NT4pKrtKpsVoVy3SEdpOKJqTKhDODZ%20GDHkmFmoU4n5Ed6d4igRdcOUgDaCqFSKNYrwyYQZ7HWM7AKY8QKKl4GJls0Vfo7NnsBkUB07jBiq%20oqLE+KhcvP3kzYdHJ7rrDFvhjEx/j4qkIXINZrsHjvtqXwqNFpyGkjstp+z+yd2fPb24Rr2I60A/%20ipbCkpYenRxYTyKSyD1rI91f7o3rOHgwIruDqGF5HOe4JztaNNyQoo+U5dBWKNbJ0gACCxE4nvZQ%200dsPWqAlPdVoyWFeVXk1BN92FphIbvR7wfqoOBCRcpVJGFjgsTCJ0xEXJpVG0cgTER46ER2tSHhk%20J4IzjpUunx88Y4T7xPX19fHJKVUMLaU6RbE6OmiaenezqRi/Hu8T39QRLUAkLLR7Bq9GmT7QOlLG%20eqal2V+BcFi4pQK5j49n/2GS6OFjZNDwKseooP/fwmWv/oev+shxCvfS97zi27zkT3xQ/eNn7o75%20lkBnC5WDzzk6u+ExEbLB5yHNt5362fPNi6vWpIcUibqO0lgqjBAZFwvKvsLNZlOsFiYBIYMu1WJR%203Llz/4//5Huf+cxnrVMnJycfPH22XK2otNzWOwrx4ssThYOyvK53z58/X64WFF9pV9Hr53khEj0g%20bCZpB3F87DXDoBQ8H0KZ5uzC6dmmDrlMmmfKoWVnw9RMY1rGnLayRBjSUgBo2H7U9i06UTnrpGmB%20DLF+TZStREhy0SXBUI7ejP6SSpjF+q3Pf3Hb9M+fPe92jWbsKOWAGc/5RktxuaVfSVlE42cqfOBh%20plkmHT0sQQslqDiTEfE6TReHVFrbZhf6xgbXt5bOVXzgAvrBCRoQKdSDObRRzMkTnHqDLsd8bXUJ%20EXdv5cQATxhqDHwYeNHp5a6IipGC85vbftdHe4VhFp+51Y2I5tXMaFYTKVVLP20ucPaaja8wyNYs%203gb5LToOXSh0Sjn7o4PjfLS4hWG0lAVn+RhGJlOwjB3XzmaSV1dTNy2KL/P4iz5WlRYU2g4X60fn%20D7fvv6fYCxgfzQ7rZb4sc7qJWmfKGHVLTDFBzTrtgl00U8RAfIdlKs89x3FAtxrpA2zLkW3QAdzt%20+qGjOq9aFNyjtlIeVdXicLWqFuskLfQ4IGVHCcSDf0Yusfqa5Y/EIGkfxQuYoM3ABJFjupXZ1KL4%20gcOBigmXBVhnJTpMXBIhGrL4ieGcZKh3bmTxo36kn1vmkFihgw4cDNa60qylhwrCYcCeU0FK+9nA%20dECckRwfMiMgnFZw3//w1NEkJ4f39/KJX5kk1t9fg/KXrED8L/zqXLomnwDNSGzUEdqrSqzoefeY%20rOnp5qqsOByc/tufvX9VjxTZdbagv3qYedVFWR1UB+PY8sgaGmMcvNLVYnl4fPLb77z79tvfuLq8%20Kperk9PT9z/4oIAxdl5vb4oCptIU/YYBXLDVam3H7vLyxWq9KIri6vIipzrA++bmhr66WCwEDk2R%20kFIoJ0pPaabGQcPecmiGcUmHRpEx/3ws2GU1ZVgEJ34TbpkzHYoe9B6YfGBNkkH7Zegpr8sTwSRH%20Yj5aJ5w+QRAMax3Zoh1s50Izuq3zTx4+Wp0/pNS9Oj1//vTp1YvnMANgNy968d7bTdeYHNV6tHyd%20ylIh1XrRWEcWjBb9SNuuWuSrEyqpO7o+dDnGkUEYsueTnnKyJQp/IE5giE17jj6Kq+txl6dDsvbp%200oUhtdz6QXCnzF0Yx2rPR0rkDicGktiOTHPEiaykpB0zzxenqjoIAWLmN0WIrxAYb3v4TjALr0DL%20CECJ3nuhklVWps6frA4eHd/JrdVupBMcx0dmILzP3icJx8QYvHSYHSfmgfg8R4AvgE+HwapcP3n4%205Ecffti6TjROKUVZHx5XRWqkpwMMuhGdsghy1aIQNPPKNHtTMGmTa9ECyIrQtlBwXq6LXbfdXm+v%20ry/Ri8yzUdlMUQ070DoBZDKDdrjNk+04sHA0ZPs9t82F5p1MNDr6fpEGnS4092pYiVqkgVHdCJBF%20hgMsbmxMBkiDg9YBGPJIYlBNeRE5S3Q30vZNirzqBpuPLjcFgBKsI0nLu+1aVv4LYlQmjTXjsPTZ%20FcxkRdH3HY40oynjoDN2hAPCLxuR0yRXrx//OLHdagDDWauQFc/b3ppsGZJyoAWbHiwPDtOy902T%20lWvMluxIeWE3tp/94mcfP3ryo//91yvKjLLkJz99v+6GxfKIVslv/Po73/rWO6Bvti1lyDebm/Xh%20qh9qk0Llra4bw1tjsViOwLJ2lLDfv3++Wq1oadEaOz05hZom56ebzYb+CZxs2eVKJl4UbwOwZ+hd%20V4vScDcR2zKFQxKQAKxLyQ0ew2bX0mkx4to3QUWoaK7pmVzo1rzzg8iqT1vdsxO3BNkeoozuuh3K%20w9PDB49ak3WUAB0enh8cHJ6fby+ety+eq7Zubfe82V50O7MoVZGNgeFkkvT6iJl3HEXZ7cmJvmVa%20Lk2+qC+uut1NbvrO2rq26HgZCugJihK4QgANH5jqDly/130b+oMsmFUwCzpX0IqQ0gAtFNB/YuvQ%20z2zTMA8vYjc0djZvx6Fhb4Q9qXGqCU0yDYqigu0suO8FFTnBbz4W3MWJQy5/BsytWmfl4zvn67TU%20bZ1CNHEIUGkM/WCBaQF+mysnJ7Ex6LAX0kXtNkwHNy2UAZdj7Mf8YHV6cnL5wXtUxKHAo8x9VeWc%20fNx6QQnpJ0yit5NUKMDOgkJEq4xqDBz9tMoobRcxY676wmZ3XXcbKjNNmtowbsF5s4nRoJjSj4Jf%203mKADxeiexrl+gWyqLkxpyytzWxCg7EkgRYrbPH4QtuGAvnIx1nKpNcoiYEcx6Ygimsuy0Sq2USP%20YZmC0qYoaV+N4/Zmu1wWS53v2rrf1RhJsbeM8JbZIRUqTgWzLoB18pTc297yr0QPMBkwHuDI10Hy%20UxzclRvYL1dsOpBkWUdpe7Jp1PtXz7/49pO3v/lu81+//+HF83JRjsEPTXf+6N6TN8/HsWuH+v79%20swxUTKpcw3Kdvfvut9/9nd8bOptQAh5SC/VNCrkD6JLBNm2NMvHokIJ717VuR9n4aBJdlAWtqevr%20awrIm92Wsrf1ek2L9dnTDwLrxQoCFQ1OBhS7gRZsRzk8FRAsjdh4RsukyiaQI4Y2Bq1iTHHTSbkQ%20qY9mUCzMXuinD/1QFVmBaZsRyKzIqMWRLUtd07GBEn0ItMXrjq5Kdu/JG2Gx3DXWZwWdC/BHPT5+%20cOckPDz33Wa73XQ/Mc9tM9B7BBaWWTvSkWbtyxgVtejbAHCLgRzVQM5cXe9027q0H0CQQsAwuqCC%20nw35UjAejRM4IMoXQ/kQbc0Dq5bW5+wyESO1CzMl0Ks9KQGtpwbjxCeYm4dzCzHs9WtUuBXdmZTB%20oow7xyYRdpPmO09TUTWEV0v+etGRRoALRRgfHB08PiyLMHhoJSPQQg8XLiV7hEg26va3rc2IuYC3%20eAzwURrOUh2HZp/vu93j87MXV8/asRvamq7KYlE50PFyZXLWk0nkoImyaomebLAjCdpMjKMMVmp+%20mOCu6F4Otm6am3rLLXvVjTVXQHTShjIrqyxfFpVK0xZgJY7a6A+6hLkNQkCVu+Fm902sC5lFCCdY%20S/WM1WKt0NDkMzImLKpyOiOiEp6RX36mvkPfEqRZK4CNut71LX30YtvUu3ZnRT2E6zWeUOqpIW0Y%20NUF5etoMqh6oDEngQZIwrVD7T5rS4evH3ye6OyVC7YLf9DrJl87nl1fNxU5d7Cgq/+1Xv/ZbX/jS%2017vv/3kzbCmtuXN08tWvf5kypb/4q+/fXN68+fgNwPvzymTpd//oX//u736HQvFgh8NVBhOLnCrb%20nIrZ1Xp5fLi2hwdFXtLPubq6YiF+VgqzqqyqZVUulyvmiCUUSylPL4pyuV53TcNYKZbsZ0ufsqIw%20t7YU5Cl77cfD1SIvTGMpRbkCm9pbIx58zH4R+JISN8qAGGJS3XVD3zd0wJRlnkBQL2FZby6bmdEi%20wBLHqgh0QoyDpwJ3W3cndx+uT89aqnWLgnaOAz2OjkXX26FaVauTUu+qRb9ZtLvdixcU3wMb703z%20QEaXCAZHQONMXcnoGlXLphtubq4OLBTyGbGRp4mDlqv1ZV6IQLuI4qOgT+EjlObLpDpoVT56zch8%2042/BWKjF0RiIlKMoCaMn9ctb5NCec4e6TcZV2BeOEeQNR54wN+MnM9u5cx91IV/dlmHLlIyKw749%20PFi/eWe1DjWFIsohbcxXda6ZSezFzM9HJ41ZsEBHcKa4CEbFfYQgMfnGyZ+n+dmi+tLj+z/4679q%20Li8PS4rtq5HKn6zQHNz5fDHitBEmzpa8xcRMRgFiOpIoCLgt6PSnZBm8RDuOTddTlp2D8cjQWrAZ%20hzxND6v14eLQ+JQyFTgdjgOLzspZiaZ1YMMp0WdzgKzyR2VRTuTzPOFhuUihpYp4B9DtsfPuAT6j%20RYZ5mNbQ1zAhxzWKInFmmgrmiR7Hns4GWiS969tm23RUZWag1Aq3UF5bMZ5UYYg6KDPQOjNl049N%20n1hoisktpvOk158Mx7jXj3/AI6HqC9xliu5pP9KaLochv965FzeuHmh1L9776YXKfvClr37l67/+%20tf/5P/4bLcevfflLlDH+4C//+ub5VZpWtCnpsF+uT/7Fu//y97/znbqjFQVt19ENCp4Cpu8GrVIK%202kWxOD6uri4vr69vRKwtsKPeyekppeNN02c5yIUOsytbtzu2/KIIjp2L9DXHwBKtHtfR/iyr/HB9%200KRttchd29siSY7WaaLaq0sfxgLEzkTUwUBXY4UYIZtDsHfo6KxYLMsMtAX20gH0WUt1y74cXCwA%20sTnSrt6N6rL3vcnOHz6iDT9Q0Z0JdiWwlYAtkKT7y+32/Q8++ODZi11DyTfPAhn3hUgCtCDlbgOc%20ptPMjkmBOD9SZZ8vCnrlq93TVD3V6U6EflJomIDl40fobWSgqjg5JZzXkK2tcpcf+vRUwZygdxqe%20ICy7RnUYlMac5ix4QjzOou3TnFSHSXHX3LpRxgNANDO0EApYzN7Groxoh/qZkKAnZUglqF//c2z2%20GEzpARtx4+GyWpaFtwMTohIdnUtUnF4jZE2DEi34HYnwUevZxxHkdFIJaorCWYnLRdfr7Ohwc/fu%20ez/64cOTOwWrYOVZrqIhdHSQCZG3rH0sCeZx2e2gQk12hNH2C1AbtNapeqRaLi+Suu0o5z47Pl4s%20D7K88qIsx1mEjy2wSc8hWlULosIbz1k8FiYuJjCyScZ6ZolA9iJVhhch1YY8PgUNloE0Llpg7c/C%20J1E9PVGRmb4zQia/ytmRnX33ZDoqgH+2EuB7mug0a8bxqm5aevVMz6D0xH8SLSheP37R4J6pvATZ%20GEKgZjXo6mLTX9343lUDtGXASf7Z+z8NmX37K195660nYeyPquUPfvA3FNmrtPSUDyVluTr6zd9+%2067feeacd+pvdTYDg+1Atc8paKEGmXIyydWPy68tNXbdlXh4dHW2327ZtSkrCIcIKu3PKjcQIDFZ5%20FKnAJTptG0qWOkE8Uxa/Xq52XUt7aJnmCeiH7dDVlz0kN0Ke93QwFMnq7pkDrtdq0CMCY8ulmcmL%20H2QkyOpRBcA+zIGBknpkOQ8Km0CrO8utH4CGaIN0drjs9eWgFqfn+fLIotGD9hCbViWUuxm2waE4%20vt122y29wRHEZJdy1c8yjEZSaMe4hNSmZuzpqlDA6XwSktVyY4e6fnpneZPoztmc9n/C0LgkUEC3%20eeJytuEbWcrE+pAvS5tlXUr3a81U/saFwevKmzEJY+IoKSxHnakodR+1fKKo+0Sg4pYtyx7HIaqw%20f4NIfwnpmttI7tao3E+2S0GatyJ8Hz11AUAX1MzH2zK4RvRiw3BQVvfunDDEFfkzT0DYCkOHmTwc%20nJrlsCbdeD2hKeUA4BaTErCMzthjk+7m0A+UtVbLxcPz+5SyHC2pqCtz5rFMMjgijDZLiurphNgv%20QdQelWke4WIMi/Dd05VHSTrQYm/6++d3T+6c0b+mQJ9B5hTOUGpv6KtniPUt1BqER255eG0T7rE5%20YFUoz4AxB0sRJ+xZBfEahWQd/SK0xEOgTULrR2QJlI62KmqWTZ2oN5r1Xa1BmVHUTYORlJPiN0Z2%20BiMpVsRO6B3fdO111wxlTpkDSIjw6ILWmfavo/untiuDZaRsyEK6cCq/2nTPr5quo5ITAh8A+OZ5%203TU/+fFP1lX5+OGDRKn3fvzTD54+BQ8wXWy6fhiGd7/1mw8fPaRC83qzKWCFnHOOpylGOpcxi8+I%20D+pus2lMvVxSCn9MX23qGiz+YTw9PaMw2rZ913YQP80PsjSj6Eqxfbland07e/+Dp/WuWVSQPW37%20Ztw1VZYuVksjAA/n8iTrnOp3/YOzk5vrjQHJ2YupsLQh6D8LLi19p8lKvM0sSwUvITkQw/oQPXEm%20QOQckmrjQLvZbfvgsvL0wSMqYSnsUxKEnJ4pbYK1gKOJ7zpWDGjhOORTk1oOk1qwJSxP5djrOMG/%20BaCFwv9idWiKlaov8vGqoF1dAD7PGnSe5edZRzBJfORlMUmKN3FHd81kKiuYc6KZ3288yLnKTF53%20QmTCW4wmmaIDo1+CQYbJcmPGQX5koDq1Zryfu/N6bsn4iIb0EVzpIzXvo8GdPnPmFR33D+6cHFbL%20cbfLIPgoNjDKTUjz2VQuqjTyO49sQ4m2TCcUfV3RYoXaegVNEnoR2/UYA2RjmWTf/OrXyzyn2qhc%20VtoL0SfoWcpZPrrhemBSEdJ7kV1Ndr2RrspVEIq+fkyTHN5sdX+wPnxw/yHtn26A36kwLUU42O8h%20uM2UyE/n6kQfg5s5W8im0LlV3FljWpMpl5mJ1pGorlHBjj0MAyjrSTz9/D1NZj0NUHTYt5OPCCNr%20XJKzZR1dimSSq8cbcFyuJnr0Ydd1277rDKMpGacLXTMqT716Hdw/vQ8fisGVVX5Mqe+zZ1cfXuxa%20m9KT4jzDgc7mIFSPP/ybH1YUFLPsxz/9GfKJJKWoTCvl5M7dk7M7QBY2O9bkoUgHmdabm2tW4xmv%20b266rmeSCFuuG0NPet9o1mYaR3t5eUm5vLyfsiwZVoG2eNu20IzpRzugX9g33eXzCwrKB6t1t93R%20zk1NRl89XK8PFkXom7xp7dXFxXsfum23SpBCsXuOFrdSI5rMtH7zhF6kKOCKF6IPjXhwo9/KOGTW%20kBvhQ9V1tu363airew+q46OGNjJtZqiCC2yEZe9hoTo03XazwUC1aWsqpw0k7/1t/yJS9aFZU1ja%20ZXoMoaRtXR4OKg27H+bdU596VuIEacsZCzUHx65WLEI+C6vDBDFQaUUHcKmT3DogUAJm4COCKIKF%20+OF6gWTI4FbNmmtqLyhMmvkhauJP0vlTg2U2slYyN+WhX5BQHj8bxDKDOIk7VoH7OFoGEuX07X1z%20sl4/PDsLQ5exgPCAUFV45oruoXmm0a5wvnQ0tpzlbKQ1PbGQEcZoEXC/DeZhZZ7mQMerL3/+Cy+e%20PvPdEEoHydIw0d9jts6TBMuSPIL7fwmTr1+SDYmZuHzA0GNi01rbf/5zb2VZQTc94dA8+tm0Nogy%20HgO9DfD7EF4CiceIN3s0GZs4bT5DWaAGJRwySpddxZx3WgMsJoNGPW2D3rtB52CHaDmsJo3OKEXP%207zOGeLZcxKHg7KoqOnrHw8h4X8P0PrwTx7oigzbX7Q7SaEXmcvFME4MStmhVr+Eyn9rMXRUmPa3b%205MPLq2dXuwZtd5gaiG4MRTiAfSGhadq6+/GP/s7opKlB6qaQ2zv/rd/87Xe//R1KHp8++yCBqCFk%209+k8yDIQyatiOYzDzdWGdkqW5W3Tsj1jjpy9oQjoKHItlyvKX2iDUAofBeOgvOgpU6EIfHR42vfd%20i+cXtKGXixVmsJT/ZRjgUkSjuqJQFSX+tccsq6nbYVPTb+tod4nkRNiqwKPxwBDagCAEJdyRj/Ip%20XomhkKSePLAa4Ofcj24YXN1SCF+s7t6lA4o2gmXBUegsIeuMlKhxGDfXm6vrayovLFrykO4TiIme%20gzsVA5z/VaCk2AFbPdXZqh9s0j0rxsvgSsviF0la+CHqeSOdTWPjnKeGNqW6weuePnG+9EmB/gU3%20RZj4ygp3wUwlOytjBjNp8sySmrfAx1uPjUmFx89mTLP+jI+sGj1Z207CzMwLi7LWXu0Jany0527G%20IR/Hx3dO1mlmm13BXAP2WPB6cjnwk86qirAYz1gYft+OYzLPQ3iWEfNiaUFAwyGBlAQkDegoBEoe%20fa2jgwMIOfdjBqKvcIwnn4A5yMt1nqgIEyrLz7YwuI5OSikw83VKFRkcme/dPVmv1nXd8uwzsayV%20lERVNi3KcHFGHbNlmYrflkgM+OTyx4qwQ5RpC8yu40ANzWCRNmHtulGLe4dlRE6ciqv5RIxds6nU%20SCA4Bz/Issza1gneOSrB4fyjo013wWwGezMMHaTrM8jnyjkhTSyng38dJD+tDzquN22+u9k9vbhR%20mHEuBwocTkHeWU9bbgD8hfL3m+sNsLRZCYbq6D7/xbd/59vfrlZLCk888PIS1oVcynoPlg4G7ss6%20+gMD/2zXtqIYIbodEDVidQH5znEAeCJLizSB3TlAxrTaWVIVOn1pvigreBJQcZom/K0Z/Rt0X5OM%20YqJ1gbusVECPoMXjTcF6gHFgAaLYeHuGVYC4m8HtkmiXyhogBialAYYbgCeEdvD16Kv7Z+nB4XYE%20zgztUTqrdCogQAgfIScbt5urzc2Gkjo5J3gi+xGgAZ8i+Hk611RidzY5LZIiGevC7JKMDoh8hDWe%20wCScdDogUAd1LO4as/GZVhn9xJZq5mzpoDiWAtcgxEaEi0TcjkM0PpVezD7SMZb0c14+hxUJssar%20PYHq2GTXs+Ve5D6JsJqXa6fdlOyHnwOFdF1/UlUPjo5D0wB9Ai86sELlGmHcPLNFZytb7op7cemQ%207NlFUXCWAIndG5625+Ali5cF/aEfJNQtiwo3ms7a0WdppIdy0kxLHdyd+UzznMrKT59FSyZLZWgl%20sv+Dq/uOalZawdbb8/N7WDDDkPBqC5O+IEO1/Ez9cRLhpVFiRCbHR7W1qV/oXT+VFFFZGc0R/Gsr%20frvRnz7hsIvxuc1gxOrDZGvOU+U4AGEjzAQJOiU3PbCptu9pL6ZaHJNRxQq3l9L2a+efd+2O9lfG%20nOwE2i7IMACiCwCkudfR/dP6aAb102eNR6Nt5VUWNFXJipJypH+GM0ADkU460qH+SWViniGMJtk3%20v/7V7/7J945Oz66url1IKoDN7DjgIWwjScNkwVHaDnfppqnKSjFufc4wpKyE1C5vaQriOina3kLk%20Dj8UKHYzuV8x2MJC8jzVOkcI7IcetukJ6C7HZ3c2H37Qtu3CZCpCy73krjpYWP9mSUZpfyI7z7Ei%20GRy9ffQF4SYN66VRVjlQZHdqM/hepUd37gxUv6JrAyQLb1IGlkPnA1pfQ9fU201d7yhCs80vT69u%20XfsmtzowJCnlp7x+SPTo8gXlfItxU5VjapN+47aUZ7IA3Zw8wxtUTS1c1rkBu8vqtijG7MCqLAjY%20BEq3WlJdz3nZzFbS+2BHdYuBVxNoZvYuEVkZtZe2T4kuo0pkhLBHaTITOmbq2/hXq0LSpSiVunt0%20mI698VaiEQaKKpF+h7vNN010WI1Kv1wRxHkqf2809jV6ku0DAlTbaZ4oFtxg0U+YfOnXs9FdtNXj%20mG5nz5AoBR0nCXtSmtMBJmsZ4+z3L57SpthcvzgoSwqgVH4mYlkFBQwzoXgm0Ol0fVX0dsQR5qdv%200fGyyzvws+WjuuWXxcap2kOs+uh7LoJ5L0NZ9CS6HzuBADnlaTLS2dR3RVo4O4iziNOJWLjvQvhw%206DbBj6ACAKmj2HOTQaZg39k4j3/9+FQ+Lq92zy/ag9MzBd61AYAPul+VZ1VVIWgnLOJFacMY1OBC%20HtJvfO2bv/v7f3h0evfi8gpTnwTkIIiVy6xLpF0wLwrikWKtyMiUTiC0IZbbDJ/zkiFJWIDgNq/Z%20kTuoXEpStEWsB42HRUgUJFlSz6KSOkWi2fuB3mlZgPba7nZb5RcqFFDPQ9MA/fPgVysR7kPBmiHO%20JyzbARlaCAazEZy0Q8Hh8qEdw2XbPavb1f2H6eFhI0ayLIDIoDhMqGDiRElpu7188WyzvWlZ5d1h%205mnYXd4JLXZyzmWPBdg3gLRCJUR5cKJ9X3YfVInPy6IYoCtTd2Pb14G1cemqr1Zr0M6dTTPTWyoL%20oMJAX+4PljY7tKZ0lJW6IWX2jZg5R/HGIDtY5Mtjuh699WIjJajJADvO+ARN4sOtwLuE1mnuGlUl%20hXET43uUa44YPPdKs44Q1mV2tlgmdlTjqFntIkoacm/dTJiUeKBM3WMtguYy9JwwK1MnYlYicNxm%20kH4OSK3BCSc/jp73UIhTpwXJshVMjhKHPb5PQZhRU7c9ThJ4aCxMi3rgWzzszu8dO+3qullSssO2%2034GB807cLQTNswe5kXfgRBFnfh9z1q1mYTTeHoapubMT/CRsEhFEjB2Fq64XoZ9k7xXUbFkgyUSe%20QsCAllSaKc442C5M60Gp3rlr5y4sYF/sapGwqqfjktHwJYB96muU+6e4LROois88SjzWEQx87ye6%20oWH9PzE5wPhUQy31y1/5+h9893sHR8dXNxuZkcrq8xCuEpdr2dE+vIw+UKJGF6ZuZNhv60Z5tiDe%20TKJ0Fdu7XkfJDcNEPAxXsZnYNm/CP4SRCkulT+/eee/ieW9HSlk8JfXailwtRVKuw5WYU0ypEGdd%20Mhj0bIZsg6bwM/iO0nYVPtzVtqpO3nyzgfrphBT3XtSdlQXgse/azfby8vJp2zVoDQg/X0/mnFwd%20hDlZgwsCADAWLJeFynLdv1iHa5jdw715WGa06fQAvSbo0lKhk2eAao9iMsvQVVi4+2TMVn2yHEI6%20WeE5ybAZNiKeeD5aUInN0NR20VMCL2802Qeti32en31RIgLSxPaLjz2ciJL00asvpvZT8v7xzJ3C%207tFqvaCfPPRg49AJmUojWXoTHJHYwyXaKUym86L7q9Qs4jpF6SleikkeqMcGBjOa2+Iy8DVCG+MX%20YwmfkdWlo9eiSCEzAjMxMjUUnQMfUfcC34+dDrQpYFlwev/s+3/5F8Puplh8DjKwrmdFTDSY+CIb%20H+uCyYIcsr5mkj4QGh3isVNiYzfJT4uNxXRfDACIyZS2T/7kQdxNKS9gGAAKHydNpcnpPUzMagG6%20omZFEgVzVBS8Bv1ElgJLTQ23o+HG+4ZeL8MIOuGrb+BvE0Xh6NVHzFReo2U+vQNVjfju2dLFm5jj%20ceZpJgZHVuS0sEYA+dIvffmrf/DdPz48On364rnCkLNqmwbpMAVTEUq5jR7K+8koIppzRs5IpL3M%20FPnJpUrGQd6p6IgXhBfjUy2K1yz7wtgKiO2OyHHiXuKhIf3l+PBgd7Tun79gX9jYx6SCs8gp2kMW%20z8QClnXiWbeLPaU5vXcjfD+s6ga/G8Jl022dP3/8RnJ0PA4ji2QJ8yNmvyAWBTv09W5zcXNz0bcd%20DwxkVjeTYPQt4gKkEJh7UhhvdVKVp/hyf7nwNZtmJipLlrnOdLnKFjtYiIc8KylaDX6AD5Qg31Po%20BxtHqf56UIvRw6iOaesOdBdEEsxWU2kxGTEzMNEde5q3zX+Q4y22OvYQNZywught5CAnwR3/ykev%20a8G4S20Un3Qxrr4iuB8sFqbZgWok/XxvJN03t1lsmHEysvI80yi5v+73/Kz1nJxGWwQW6WW7PO6Y%20szOb4FRQ+rBWjB3G1raxlcPaz2yVkYhrnRjd+9t+jLpF+k8gULFUXh0d5MvKdXVW5mmW+SIfkEKz%20imXEOAYfbqW2+JgXr3WBc2opbhgnI0IArO1v0MUzU08LFa+PNrghQjTx84FbTAXbT1+FOZNzLkof%20R8MRIxrB8XNyCy1JdZ5n15surVZQnFPAYXXKb63d0IWryhR7A632QGX5KM4YXox4vX4tPvBpDu6M%20UY5FNsurUrkJKdCYGDkICllHa7i3/snjh9/5wz9aHx6/uLyS3h+ziLoqz52QWaJJj2gQmslfabKQ%201TKsc3FX+jAXrxKLNCOPWRVQgMcipm7F2VjM4IXrkmv4D/G21/KUcrZvdoVJjhar5+H50LX01DjW%20lJKUVWnKEq8x0UlkrMlSB8j70DyC1OloR3hld4PbtuPzbZ0fnh4/ebKx0lWKRiFsLKcLuCOAZ952%2026a+HobdAHVYwVmYqOfKajLSSxXSCVhh+PiNz1bJ8qF2XeKujGvpMo86GbUpEr1UpixW9GQ3ujwv%20YYgjAz8WOqYCBMHd0iGwHE050BNhQl5IlgmpKe1jP4YFZ/kknQDdt/houeg+9limr/pbvpJUTlKU%20Tcrq8mOE2cj/3Hl5UkVAyat67nT/Sqo+ujZh2woG4msOZvS/MTbbXfwdFnoTCcjBuJylC6emDQuj%20RJ9A9kQGFDXPc767gZL3xKT4jXNtDybFlmJ6BgsXn2LawvJwMJZJpEKADjrElXPx65lBkEw9w3El%20lRrd9b4fbuqabs7W2f/0X/7z47N7X/7M58+O7qW0OqCQTTmOZUi72ZOtpE+IcEkrSIoMrSMyVU9q%20NrzJog6YHFyQ9DJmsBB0NICoAzNFn9FhADVSwUjfsbnpg6qWywWeCT7K0gfPbhvcjgNYLKFa1MI/%20zJlMOz8UeVb39qqrr7yitN1XZUk/KVCxqll30om+sIsuQ1SZ9IDyvH58SnHuSiZCsO+KXUdUsizf%20yuAB2g9d2/XKrNYH3/mD33/8xpsXF1sGsiPo0FZb5CWW9AgOTYhGbBLcw233Mg6odGxjzkqEaj+4%20ez0x4OPwSKDnFIJNJv1kjuJoWKdOZRGjHEXKy8wktFT7/mix3CVps9tB4tf3mYJSe1kWZVWYyD3n%20ZJbpq4HbJJ7JTU5AEU71zm/a2mp9dH7PZemuG9CaBehGSbnM5CVI73bt7mZztas30P7G1kPSJSgM%20DoGGlWv3XI/QBfHO3ujFHb24G5q/SdzO2SEFXbPoU11pX4AEOfp+oEO2gNGmEXltx8otlGRlGcUv%20E7Kcdqxjjg+HWuvF5C8y/VGL+SjjqwUKFL1Rw971B7ZGvjzD8X3we1JiPoI4tQxLfQTIB07So/G4%20Y0kbL3TWmH2mH4GNL9frYbfJZQZBGQSbnyGBZw0tPfVi5PeZ4cl/CyIdcdu8lpkpcEQMa03SvKg0%20Sz9yOs7RnwK7hc+GFCR5RRctwFEZk5aUG9qaL2SKW0/vP2UT0VhhxX43uEjDaJxNc+/SLte6WK3N%20Yrm8d97V7Z//7PJ//ey/nx+cfukzb3320fnyYKFH6J3C8DREX1Zu2LD5jYpQSD2p/sof4/PTAFar%20aFMC8+UQqmq5OjoqiyV92qZtAuUPtqeMwojfS7XMjo5830L2T6SQMD0K2vJtwIx5xKyU3r91FWvc%20aJX3NeUhVG0A8LxaVgtt5XIy6kDLpvVTUy7P8uVy/TpKfmqjO3oT3Fhz0X3O69iekWhMyXOSr1dH%20f/iv/virb3/j+cXlaHWeVbTOAGykbKXrMR4sUjYnDGrPzDbM+eBE9wsu7AkR+n07E4GkKZEN512P%20ZUlpuxvLzBaAVqqMPdqwf7uB9i4PCGL5Oxidsa3UYZY/fvDAnZwYPQ5DAzkpWqN5DmpVoEI6me3J%20NLqfEaMtfHiY4I4QqtkONjk8rY5Pr3atzkrPRvEzpg2KMs561zX1bnO92e2afmRrYXrL6AeJtLCL%204MWYcU7ZILq/Y6CELE/V9XXqdr1HR33EhU+4bQ2dGKoCWqezsVfjgKEtTlyXKEupqTNpn5SOfjEU%20z5t0xG00lkUZYZPGuscSop2T9of0QiYiVMRTc/fBR815L/r3MXF3U6PGiQO2nLUhQmIsU5bk+0Vo%20y0cknnWvgELmi8U//w//UXQpVcTv3LYuYlj7JR/6I7+rl02VVZys7n1Vf/TP+uV+ZdCT/s48i/2N%20MLN6b0Hl5hab/yt+zFD+8JHPE+aPqn8h8ZeXDT33UTb61d9++0ejzesg+Sl9ABJbZHmZ6oncLWKg%20YuuQIJqao4PTd/7ld7/xa9+kkq7rBpNkVvVw5aLITrs0Y2NQ5aM4+N4oNbpRm7DXeHeRAqknHnic%20+t0uNsyBgsv9WHm7sEMZxrypExA9OK5MpSu37zFcki6pYnrR4F3N9XQKP1h6VKhZoTSrC9hcstQd%2049lZoDFl/zo0Ywb6xGlGYbbv3E09qNXB2ee/aBcrpUvjIsRMQBCiz8JWbWhaQZB+GOmkSxIIY8ZR%20gmJgj4FnuBgisTkm/IUo5i/Ks/z4ROmbVbpbUXKeHkHixvm8d0m6pBPMt1ZXi8TkpsxWObSleoWR%20wVjfZGna2TQs7mbL4xwqIy1dfMi858sc7po4rxK0NhBzILoY1KxfJQaTsRPmeE6ZBGFJKgwDoiGf%208jNiXWK9irNsLQWPNIkmzdiAa8HObz7Lk0UeKY3px9eZfkUo/v+5sn/hr+qf/w0f+VLyj7VLPwGv%208PrxqXt890+/e//RecnwcxnDxIjL9mzMswxHx2dvvPFZivL9OMjQXk/DHzZSnhIcrfaaMEHtZxdz%20Lu+n1CFM+OsI7VV7wGsK7iENjmqBLHj6A8I9Q8ykp+tvcWO3qk9aTSjo+GcBZLNLDcMi2FQaIzZ1%20O/yK2SsyZ2lJjIj0bw2uz9Li5I5PC8/ocUH+TpiXaeZHqXtb1/WG2bYjS7iaiN4RWGfELk9nHmuF%20wA9P62RxqPK8aH899VEenH2wvWGaCmX29QhNJ9gvGfH3wPN+7FPozKRNetCsHw/JSk8uU/qlVDgI%20eX+2+NW3ydh0vQQFzudixLkrNVdrSt1qu8dqjqsRvWfroeS++4nyxK2h1aJ49OBERW+n14/Xj9eP%2014/Xj39aj9e1/OvH68frx+vHP8HH/xVgACpwQ1ONJ3d7AAAAAElFTkSuQmCC" height="150" width="500" overflow="visible"> </image>
          </svg>
        </div>
      </div>
      <div class="fig"><span class="labelfig">FIGURA 1.&nbsp; </span><span class="textfig">a) Máquina mezcladora; b) Tipos de órganos de trabajo, para alimentos secos molinado.</span></div>
      <p>El
        programa y el modelo de cálculo desarrollado responden a las 
        características específicas del procesamiento de alimento seco según <span class="tooltip"><a href="#B9">Meza &amp; Vargas (2021)</a><span class="tooltip-content">Meza, M. A. R., &amp; Vargas, N. C. (2021). <i>Diseño y simulación de un molino compacto con transmisión interna para granos secos y cargue automatizado del producto</i>. Universidad Antonio Nariño, México.</span></span>,
        previamente molinado provenientes de forrajes de diferentes tipos como 
        pasto estrella, pangola, entre otros, o de tallos gruesos, tales como la
        caña de azúcar, el King Gras, el maíz, la moringa, morera, la tithonia,
        entre otros, empleados actualmente en Cuba y Latinoamérica como 
        alimentos alternativo para la fabricación de pienso y contribuir a la 
        sustitución de importaciones, según <span class="tooltip"><a href="#B1">Acosta (2017)</a><span class="tooltip-content">Acosta, G. (2017). Siembran más plantas proteicas para alimentar el ganado. <i>Agencia Cubana de Noticias (ACN), La Habana, Cuba</i>. <a href="http://www.acn.cu/economia/26743-siembran-mas-plantas-proteicas-para-alimentar-el-ganado" target="xrefwindow">http://www.acn.cu/economia/26743-siembran-mas-plantas-proteicas-para-alimentar-el-ganado</a>.</span></span>; <span class="tooltip"><a href="#B2">Alonso (2017)</a><span class="tooltip-content">Alonso, I. (2017). Presentan en Cuba texto sobre uso de plantas proteicas en Latinoamérica y el Caribe, [en línea]. <i>Sistema de Naciones Unidas en Cuba, FAO/Cuba/ONU, La Habana, Cuba</i>. <a href="http://onu.org.cu/news/e3030b5c368811e7a36800163e211c9e/presentan-en-cuba-texto-sobre-uso-de-plantas-proteicas-en-latinoamerica-y-el-caribe/" target="xrefwindow">http://onu.org.cu/news/e3030b5c368811e7a36800163e211c9e/presentan-en-cuba-texto-sobre-uso-de-plantas-proteicas-en-latinoamerica-y-el-caribe/</a> </span></span>; <span class="tooltip"><a href="#B4">Cordero et al. (2020)</a><span class="tooltip-content">Cordero,
        H. L. de la C., Valdés, H. P. A., Paneque, R. P., &amp; Fernández, G. 
        T. (2020). Revisión sobre el mezclado de productos en la fabricación de 
        piensos y conglomerados. <i>Ingeniería Agrícola</i>, <i>10</i>(4), 59-67, ISSN: 2306-1545, e-ISSN: 2227-8761.</span></span>; <span class="tooltip"><a href="#B13">Romero et al. (2009)</a><span class="tooltip-content">Romero,
        V. M. E., Córdova, D. G., &amp; Hernández, G. E. O. (2009). Producción 
        de forraje verde hidropónico y su aceptación en ganado lechero. <i>Acta Universitaria</i>, <i>19</i>(2), 11-19.</span></span>.</p>
      <p>En el ejemplo realizado se determinan los resultados con los datos obtenidos, por <span class="tooltip"><a href="#B10">Paneque (1988)</a><span class="tooltip-content">Paneque, R. P. (1988). <i>Transportadores en la Agricultura</i> (primera edición). Departamento de Ediciones del ISCAH, ENPES, La Habana, Cuba.</span></span>,
        para heno, paja, hierba, entre otros materiales. Las expresiones 
        resultantes se programaron en ambiente Mathcad Profesional 2000, 
        constituyendo una valiosa herramienta para el diseño y perfeccionamiento
        de estos equipos.</p>
      <p>Este software ha sido desarrollado con el 
        objetivo de proporcionar a los profesores, investigadores y técnicos de 
        los centros de investigación científica y docentes, así como a los 
        productores de estas máquinas, un sistema automatizado que permita 
        determinar de forma teórica los parámetros de funcionamiento de las 
        máquinas mezcladoras de alimentos secos, para su uso con fines 
        investigativos con vistas a su diseño y perfeccionamiento. Además, es 
        posible su uso como medio de enseñanza en la docencia.</p>
      <p>El diseño 
        de las tecnologías de mezclado de productos en particular y de las 
        máquinas agrícolas en general requieren del cálculo de varios parámetros
        que de forma manual se hace muy engorroso y en ocasiones es difícil las
        interpretaciones de las diferentes variables a evaluar, y no se 
        encontró un programa para el cálculo automatizado de los parámetros de 
        diseño de máquinas mezcladoras. El objetivo del presente trabajo 
        consistió en elaborar un <i>Software para la determinación automatizada 
        de los parámetros de diseño de un mezclador de paletas de tipo sin fin, 
        en ambiente Mathcad 2000 profesional</i>, dicho trabajo pertenece al 
        proyecto de investigación titulado: Desarrollo de un módulo de máquinas 
        para la producción de alimento animal a partir de diferentes cultivos, 
        asociado y aprobado por el Programa Nacional de Alimento Animal (PNAA).</p>
    </article>
    <article class="section"><a id="id0x3425a00"><!-- named anchor --></a>
      <h3>OBTENCIÓN DE LOS PARÁMETROS DE ENTRADA Y SALIDA DEL SOFTWARE</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <p>Como
        parámetros de entrada al software se tienen las propiedades 
        físico-mecánicas de los alimentos secos a mezclar, por la mezcladora. 
        Para el ejemplo desarrollado en este caso, se toman para heno molido, 
        paja, hierba y los parámetros constructivos según <span class="tooltip"><a href="#B11">Paneque et al. (2018)</a><span class="tooltip-content">Paneque, R. P., López, C. G., Mayans, C. P., Muñoz, G. F., Gaytán, R. J. G., &amp; Romantchik, K. E. (2018). <i>Fundamentos Teóricos y Análisis de Máquinas Agrícolas</i> (Vol. 1). Universidad Autónoma Chapingo, Texcoco, México.</span></span>, para la determinación de los parámetros de diseño y de explotación de la mezcladora, tales como:</p>
      <div class="list"><a id="id0x3425f80"><!-- named anchor --></a>
        <ul style="list-style-type: none">
          <li><b>Parámetros de entrada al software:</b>
            <div class="list"><a id="id0x3426380"><!-- named anchor --></a>
              <ul style="list-style-type: none">
                <li><b>Valores derivados de las propiedades físico-mecánicas de los materiales a mezclar:</b>
                  <div class="list"><a id="id0x3426700"><!-- named anchor --></a>
                    <ul style="list-style-type: none">
                      <li>
                        <p>ɣ- Masa específica del material en t/m<sup>3</sup>, para el heno molido oscila entre 0,15...0,18, se tomó para variar de 0,15...0,6;</p>
                      </li>
                      <li>
                        <p>f- Coeficiente de rozamiento del material a mezclar, para heno molido, sobre chapas de acero: 0,25;</p>
                      </li>
                      <li>
                        <p>ψ- Eficiencia del llenado 0,3, para el material, heno molido, paja y hierba. </p>
                      </li>
                    </ul>
                  </div>
                </li>
              </ul>
               <ul style="list-style-type: none">
          <li><b>Valores derivados de los parámetros constructivos de la mezcladora:</b>
            <div class="list"><a id="id0x3427980"><!-- named anchor --></a>
              <ul style="list-style-type: none">
                <li>
                  <p>X- Coeficiente que oscila entre 0,7...1,25, se hace variar entre 0,1…20;</p>
                </li>
                <li>
                  <p>D-Diámetro del helicoide, para el material heno, paja y hierba;</p>
                </li>
                <li>
                  <p>C- Factor en función del ángulo de inclinación del mezclador, 1, para posición horizontal;</p>
                </li>
                <li>
                  <p>L- Longitud de recorrido del material a mezclar.</p>
                </li>
              </ul>
            </div>
          </li>
        </ul>
            </div>
          </li>
        </ul>
      </div>
      <div class="list"><a id="id0x3428900"><!-- named anchor --></a>
        <ul style="list-style-type: none">
          <li><b>Los parámetros de salida fundamentales que se muestran son:</b>
            <div class="list"><a id="id0x3428c80"><!-- named anchor --></a>
              <ul style="list-style-type: none">
                <li>
                  <p>Q- Productividad del mezclador en t/h;</p>
                </li>
                <li>
                  <p>D- Diámetro del helicoide, en función de la productividad del mezclador;</p>
                </li>
                <li>
                  <p>Nmax- Máximo valor permisible de revoluciones del helicoide del mezclador;</p>
                </li>
                <li>
                  <p>V- Velocidad de traslación de la carga;</p>
                </li>
                <li>
                  <p>H- Fuerza que se opone para vencer la resistencia, durante el empuje del material a mezclar;</p>
                </li>
                <li>
                  <p>Mo- Momento necesario para vencer la resistencia, durante el empuje del material a mezclar;</p>
                </li>
                <li>
                  <p>No- Potencia requerida por el mezclador.</p>
                </li>
              </ul>
            </div>
          </li>
        </ul>
      </div>
      <p>Dichas
        salidas se ofrecen en el software, tanto de forma tabulada como 
        gráfica, obteniéndose cómo varía teóricamente cada parámetro de salida 
        en función de la variación del coeficiente X y la masa específica del 
        material a mezclar, lo que permite obtener las tendencias funcionales 
        durante la predicción teórica de dichos parámetros de salida y además se
        puede realizar su comparación con respecto a valores obtenidos 
        experimentalmente.</p>
      <article class="section"><a id="id0x342b600"><!-- named anchor --></a>
        <h4>Requisitos para la instalación y corrida del programa</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <p>El
          software ha sido elaborado en ambiente Mathcad Profesional 2000, de 
          manera que, para su uso, debe estar instalado en su PC dicho programa. 
          Para instalar y ejecutar Mathcad Profesional 2000 se requiere 
          Computadora Pentium base 90 IBM o compatible; Torre de CD ROM o memoria 
          FLASH con capacidad suficiente (1 GB) mínimo; Windows 95 o superior o 
          Windows NT 4.0 o superior y por lo menos 16 MB de memoria RAM, se 
          recomiendan 32.</p>
        <p><b>Para ejecutar el software se procederá de la forma siguiente:</b> Instalar en su PC el software Mathcad Profesional 2000; Crear una 
          carpeta de trabajo; Abrir el fichero del software; Copiar el fichero a 
          partir de “INTRODUCCIÓN DE DATOS PARA LA CORRIDA DEL PROGRAMA” hasta el 
          final; Abrir nuevo fichero y pegar; Guardar en la carpeta creada y 
          nombrar el nuevo archivo; Comenzar a introducir los datos solicitados 
          por el programa.</p>
        <p><b>Instrucciones para la corrida del programa:</b> Con el software Ud. puede emplear las facilidades que éste ofrece, 
          tales como evaluar un intervalo de variables u otras; para la corrida 
          del programa, Ud. solamente debe introducir los datos que se van 
          solicitando; para efectuar la introducción de cualquier dato, borre o 
          marque el anterior y teclee el nuevo dato; al cambiar cualquier dato, el
          programa instantáneamente recalculará y brindará los nuevos resultados,
          haciendo clic fuera de las expresiones de cálculo. El ambiente de 
          trabajo del software y los resultados de la evaluación y graficación de 
          los parámetros de salida fundamentales, se muestran en las <span class="tooltip"><a href="#f2">Figuras 2</a></span>, <span class="tooltip"><a href="#f3">3</a></span>, <span class="tooltip"><a href="#f4">4</a></span>, <span class="tooltip"><a href="#f5">5</a></span>, <span class="tooltip"><a href="#f6">6</a></span> y <span class="tooltip"><a href="#f7">7</a></span>.</p>
        <div id="f2" class="fig">
          <div class="zoom">
            <svg xml:space="preserve" enable-background="new 0 0 500 438.732" viewBox="0 0 500 438.732" height="438.732px" width="500px" y="0px" x="0px"  version="1.1">
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B7EPTOst%202r62Kfh+Em9DTZzYOGgUYswXfdCjNMkLueTCfoMNiRnaho6+hMln2h7GXR6U0Rv77lmfqQBq0dOj%20+CdSTOGmULoFIpsaABBRUhD18FSrVW0TtHv37v35n//5N77xjfjqmpW81t6OyxdJ/biGT5bU7+34%20YklqwXq5LqkDJfHXq89N1rqQ7/3DndNJTHUj7QhpMGnfL14beuaUOdBAjBt8miqf2Ej72THZYCsv%20yZf4LyT6P5p8QgMJnV1Hz/KdnWCNpPl4he51oMZUtLA+uceZ3ePyEKpoG14JEod2vW5MpAh1u8lT%20MeGbwucWcJgaADArScH40pdGrdaXSAeAKIzXXnstvgiUWnSAMxd2guZ4bFV3/JZa+tA1YVPbcAx8%206DPrQk0GpNW4fChBEn9affaMCpNWn+1+zIrCnHyYM/z93jYMn2pnSvtlduGDjUFwZwjpzLNYbp7m%20CzHFjYRZqNgGPSZyoXHgK6c5bv6O8YQl1Tbttn30xZtC/nTTDIYZU9HCRDx08uIcInt5iFK06aiG%20ptrsSm83eSomfFN43wJOUwMAJkKGqATpjo985CO/+Iu/6H3y5z73uXe9611uIQCwOJBm/XB9hPYq%20kTmzvTrA2zUASJKXAgDgytAxnwMAACApOM8991zGj3e9612wIFh0NVHUPfz76AYDABadDIYtAAAA%20ABCdK3//938PKwAAAAAgqqR49OgRrAAAAACAqJLi8PAQVgAAAABARDCXAgAAAAAxcOX+/fuwAgAA%20ABCIw8PDzc1NtKEieC8FAAAAAGLgCvvf9evXyef+/v76+jqMAgAAqelJz1eE0e9Pg6QgIBcBACB9%20nJyczEtUn3vuOeRXSiTFQsn2RRDCSCZiiKKCZDJ2d3enH5NXX3010PEf/vCHFzPLICmAK8vLy267%20zs/PE1sH8QEv8bvvWbYt0UfNROsl1lwATE242OqTubspnnjiCcUj9/f3Q9tnb2/v5s2bzD7OLSiT%20yZUUbu1l9GzjIfsG5dFmxxur0OJA+lxuJpMhAQaKEj+exYSfa/sZC9evX+eVoPjdG1J1ijWCuhzx%20sDMzXiazEPJClGXEdPyn+N1XrtkCQaUWMSPCGfP69WVSaFljRsovK7y8YYtSjHl1wsKfOybkY+DS%20gdVCTMaxOpNNDSRbSKWkXls6K3zIkRAsBS/fdgI18x5tJ4MF5R3g7dtGfktxa9SDRmnkQugweerU%20bSIqLW4ZnsyE1BcMdg8HnQtGkkMqBZKhekVMa09Sb5I/Zma2nXxGLGBzAasHnd/dtvgGEncN3mB/%20/Ke4yzeXvUlIFvDGyUNnuHey92ihNeqHEfmit3Y3WY3JtuO9gvFCDCsqNqd5yV7FGluv8DXxL3q7%20Bi9FpKwlvfDQ7Zx4YqB2141MTHreFk7EZIqaIGj33e0sUpufn9ejp5Q97BOiymOnsP4cc10G7TR/%20/es33/Qm2pkjCSTKhKWSfSGpvn2b7iWVA+7VGcJEAylp5AvJ35s3vy6WOrbdoxyym9qtcmcOPJV+%20oa92iXIvsE4tKbHivaDueCOH6VI4s69Rcby3v0/0BNPGGSoxtEz4Wij+DCU2F7ODV3R8o9uWZL4a%20kdU8LKd4/UMylHVUFPWEaGqmKpivFL6KGUgKVtpUrO9bd8QiDEm/lnkyorgo4r1/nPdqIK8G+24z%20GqlhR6Pno/sVWQXKvYVBz2UnskBCDIUQxUBUhVvW871xoT6gEP2slOkJrh729t4UQt3amrEot4ZH%20NoXOGq4kxE9NeRyQHEbSsb9PPRP37zOFTRq0/czmJtcTIUb3+dBnXA2b08hivrDvHlucX2YLEw2s%202tmnFt/jNVI46cbsTFQuXis9M0mhXiOYTTVV7dKDE+XSl7ootLBTGSJWl7xOEXTG7Vj0hE3pawHH%20Pp2ODfF03vPz9VIwbwT77vwM7aWwzTwVNZC66GEn2tSSKCxCt2Shq7/YA/F1DIgegps3v65phoDw%209RyImlja001I95eXVaeqUL599vTyf04dOVRJZEQvxb4+6k++L0fwdMZVXQetjnjtlyg94bwf2UAq%20z1Ci4YL2kUSnBZiZlyJQ28q8gCOLR3AU32BF9DrUy0XBvQWB+g0sbbzDoXIuFxBO+aJfvRGvnnD6%20GEK0Z+LAh20oxKPFtakHvbm6TZSG9TNqz5V9sqhyu3H3jK8lmWXEE8lZoodcfU6rhwKLxe8SryuF%20uSW4l0IcAWHf9/bepFflSsLC455SjMzkpiNE0RO8PaNTKPQhD40U/E3NUsfpeoJ9D6RBiaFv65/1%20mXa3bH6LcFWrW0UXGiYauJfCViMpDnyQOGQyy9p4hM7utABJlhR2JWH9nL2e8JDwop4I7J8Yjcg5%2052b7EcWTGbue4M1SiNenSh8l5UMh/K2sHi2uzSfBvC9WA76gC4uoqiJ0qy9t+8nPcLNPpuZ7iJhe%20N4+FbRZFaF8d7fjqt32gu2lyQ07MS8GLNM9Z28ONbhEgx7MOvD6XYnSTtHH7JMzMSDOSScJhqiIQ%20jeUGUxLXl5dfoN/rs60ho/gnnDVnxAY78wIx521eP+zpiHMp1L0UvL8HPTGvXgph7GP8qf7coMdT%20AKFnUfg286J/IlA9SI8X9ESUKaiT0BNilSr6GKJ4KdTbAMcYx9dlPaTnScURZfJdlFH2oO6BuEjC%20G35YGp2TJ8iWmze/Hnh2sNM5GWTIY6LTM7l0sI1wKU4PYtMzqZeCOiioktA2b2qmnsiwDrU+l0Kx%2068x4njSWy7xGI19mKSmij3fY5odF6vvdptbRq/sR/a7X+2yWd1AvhSOZ0BNz6KUgpdOj7VeRBVEm%20YHp7KaLIDtd7KXjz4FQPk/NPiMJC3V0hfTtN0O6100theiYMMSH+jO6rCKcJnAaZhJ4I55mY6FwK%20fRzKZzszhVJznmHN7kg65Bm9Eo8iHJmk5r4KaSH3HSmjyaG3EFMhI5t4YpMHA8XqBe328/od8YI2%20Y8SJmVqEuS9BR43dqn/t+dvUKPTBDI1+vz12zgmlNMxcCjB/XgpfPaFS4CIqEg/3l7TlYHVB0AdB%20bUJkWS/uKi4K1iEjTSnXEIrD1SGqYDYtwNY59nWbO1uyGL0U4thHFFXhjCRPlHPSpUcghzpiWibU%20kIfQi5N4jalHgOJDpOKbKkJ7KRLSI3TqY142+C7fHGfNLVMPpDXb29/P6J6JcGO6rKK4bTzBRnvi%20s/JRxPvERzzZzcaUXnhBI/VD5rY2uq3te3V1QGq9FLHoCY+SGu/7SehMK6OuP1f0ZDhrUf7qzPP7%2095dV01IXVQVrUCcx5BFlxF16YrxeClFVxNtIO2drqkgT8eDELj0Q1ywKt3dK8hvUNnlT0UuhmeMd%20QadQTW56plNYh2iZyP3NondT7x0zjwX5oe5+t9UtglejXqd7b0/i/dz8aQ7ue5BusR086yc+btNh%20jxd0/wT9Tn0VNzU66sFyzfbWMvUc5PM0IQ7mQ1JMTk/EgqdcsL/IMoSqkLouVFTFhPSEs2K1PR4Z%20vavnew/rZmG67WYsGmJCLoEFXLuIjW5wucALpLOgRvRShPOXTKIwsBEucXqQ8+FhleiJCQwWZ+H9%2027YTjZuFN+URprPbBIFTH3gohsQ8PvqCdls38O2RKTLGFbj4Vs1A9b85PRPCYlqSIvqznh6SYrZZ%206DvIF+LxUed9yN6/qTiA4laJT05DBOq7R/RPSDOdpDeWmRMgjjuiLi2QfHug6Zm02DunZCep4uYj%20XB4qWaXjq3d2xyMgk5gavPAlk1WhfApFRgs1VQXMWFJEvPljqTs8nAR8e5S5FN4eCBU9oaK6Aj2L%20P7mnPKQaIsYnLWNpxkBidUbQzEp+t09FFqsUcj4IEtiz4lt7zNXiYZOb1iBUoZm4xAQf+ICLYnpe%20ioRI1MQGrn56kCPrE/W6L6BLP01M9ImPBSSu2yFEI6f4Brx54cMf/vDcNQRQEosoKQAAEIVAkeee%20e+7VV1+dyXVhfEgKAAAAKQEvZgDTxFjAhj11hmlEAAAAgApsXST4CEUMLwXeDQIAAACAGCQFnBMA%20AAAAiMISTAAAAACA6GTCrdUGAAAAAPj4LZIiMW9XBQAAAOYMTM8UuQJzAAAAWFjw4EaMYC4FAAAA%20AGLAeOKDvdCXrcInajcYKK0QVY4nh5G/SYvzgvcUo1e5sCFIhKTQXAaETk5OYKP0wV+Ui/xF/iYt%20zgsO5vqBlEgKN3Z3d2GmJBP07f22tXyQv8jfpMVZW5jhbWky2buMw33OUTLBgkoKkHyeeOIJxSMx%202IH8RZwTTsr0BICkAHNZDcEIyF/EOQWkz0vhwfJyg305P69HDCdiCACSAgAAUigfY9cTy8vL0u1s%202cggLfeyx96goQUK3yNwrkuiBAKmLSkyGct7sWw/IxJvaCD2jAi6HcxF/pKf7MvcZWJcbaRbgOrh%20iCeSs2w/o3gpeO64pVRdVcTVlE66SQ4X/vl5XVQV0A1z46VA+7GwIN9TICY8bue5u7XFxps1Iewn%20+QzbLBkB7u3tBXrsgp/Irmv7GcVLQXIkopfC26mg7AOIIRAPNRCHvmxoGPuYR0kBFqELC+GYYlHo%203fFdZPg7IWb+GKeil0LqsZiEUyH5nX4oiXmVFG7tjc19yn6yg8UTxc7u/HpcE460SxG6UhCz0tYm%20IeNSkL+IM+fmzZvMRTHzmMTopVBxMwTKiNjnUsQyPZMFAmGREi+F1H3Kt/B2yPZlfj2uiRfs5+FG%20hcWsETPFljvIuDnN3xTHOfr0heS4KLQJzKWI0dqTLmzhZlYyMcEHPjA9c54kRVyOcThgp1ODx34L%20IePSnb/zGOfocymS46LQFmwuRVwhiBMpoBvmzEshjmjE4thANkyoBg96a/nmBTJurvMXcU6+i0Jb%20sLkUmJ4JSQHmpgYPJ/LctoD5zV/EeQouCiJNiCiJvvRX7HMptPl5L8UMdQmYpaSQTr3UlKfsRfdz%20gJmAjEtrbs71eylCz6UQT2TCIsoDqCyE6I3rQr2XIsbpmdAWcyYp3KbpeexS+TKnNVr6WhfpFmRc%20ujN6frMvaS79GINa5LkUoadniqMemJ45f14KAAAAk2jAFvm9FKGvJaoK6AZIChAJrOWI/EWcZ0Xs%20Ddgk5lIk2HqxTc/EqAckBYiBD3/4wzAC8hdxTg0LtRJpcnQJmIakeO6551599VWYKcmQPIpyLvIX%20+ZuoOAPoCZBOSbG5uQkDpRjkL/IXwEsBwJQkBQooAGAmrK+vL0L9I00m2xLuE7kJEiEpML8PAABm%20CxxLICWSIiFvogUAgIUFXXkw7yzBBAAAAACITiYhi+8BAAAAYK6hAx8nJycwBAAAAACiSgrC7u4u%20bAEAACA5fO5zn3vnO98JO8wRmEsBAAAAAEgKAAAAAEBSAAAAAACSAgAAAAAAkgIAAAAAkBQAAAAA%20gKQAAAAAACQFAAAAAAAkBQAAAAAgKQAAAAAASQEAAAAASAoAAAAAAEgKAAAAAEBSAAAAAACSAgAA%20AAALwhWYAAAAQFoZjUbzGO1MJgNJAQAAAEA3TDBFSVYbsQ98dKsZB8VitdkdKgYwHHarxWp3koke%20Nos0WhO7iEv4bDNJ2zBOSwdJxaQTHp/xYrPSlItWLNnkHUg8mWiamd6YNPR4zBJLYueO0DkyOXNN%20MyPUkx/3DTgS0FP9wSXKB7uyA1wZDLrVt1e77Hvz7TQE49fEUbicYL3uB/WjCUWCbvNO8oTUVOZS%209HrtejlXbA5ViudmrtzupbLe2az3Co3BcauURZ9iBlZKb9EKY4yjg16lMzq+tXK4mSm3C41bJRgF%20TPrejucGlDS31v2a9QCfVv3m96/9Ws8W6GhquF/OFvnuztrYePm8sjWmzaQGPkh11SpxdVXdJEWp%20V99srh3XEtCeZmvHo9q0w5/0RdMBrDQdE9FA9C+l1vGoBaOCeUHadvKmedzK+p0ikyma9n0f+g8P%20P6R6TnSCXI4dUHjxKy//LG1DM7/6q84kJGFAZBpeimyptd8oUG9Ffac7lqzVojkuUjX8F8NmMVfX%20hVi7PPakyY7UTNdesWnsrXa7zP9WbHbNE5j3fCj8NK8teOq4i3B8HfEyuiIqjsdwLLss+8a7nJ5A%20IQ0ZyyiQ79VtOn98UPfMfa9XGK7nZGzDUzRtwj75QIQZ/yY3RLHoCEVmPUf2Dd0PHirnbICiJY1A%20dIPElk2ugdhKl2esPO8dz1LnYYeYE+vw0Vs2KN8gMRQSTT5umxn7V+X3uyMqXjWGp7n8KgpHcZ1E%20RgS+l1WuJa3b3QM0SzVtO81S7eyL606G6tuXlh4jvP2D3a/YO+7Dlz74jitXrlKeefalocMRMHzp%20mR/4bz9PT/n1d5Njnu2SDVf1L7pf4Fn9zGdf6j6rbyWBPPNSd2gNwNylX6E7lLsihiQE4Th+mPRy%20XSPQK1euvOODLNLDl95x5b/4NRrP3s99P0nqS595iY+YCOM9w4ZCIzJx9vb2nn322fj8OJ2K6aWw%20upd0TaEVGgPhIAF9h3GQ4OlwO9IRBtlqO9vYXnAEya/DfjivYEmAZLe5S3JBFjlL+PIrVDqDkcLV%20JSZ0OdTdUM4gQkZMFqnQ1nNkn8fB6jkboGhJIhCHQeLIJu9A/Eovj5XqvaNy5tgOsSfWUWNYNijf%20IDEUErfLGTsV7/dgNUa4+9FhxxgzIvC97Jd89brdGcadO3eMPUePbFxeXn7lRWmq3/+pNyifer99%20x1v/zSsPLLzyb94q7n/f7xkb3vd7dO/vvU9qELbTZT8J4oEdyXFGGCqXo6m597G3iZve9vFPf1zf%208IEjYoXLI/VGZBojOVOSFMZ2sXSZN4ulRFqLp9eRZrHTdw7EQsu2mPsL7Kex071SLjT0qwzG4Y73%20GhEYNCSVnbW+sSbQEU8avhgTn6vLbngel4KsmRnIpINcUnhGzCoBrb9kseLxNwIRm2gv642zz+Pg%20EDnrW7RcIxCTQaJkk2Ig3rFSuXe8yrxbiZ1UYn0khe8NEk8hkbWw1nZO7X73L/N2cylWFOPiOrFS%20F/RelhRI9RvQI0B6XSIpzF8vngliQufoAyzCH/j0nz0k/JnZ7r7/U6+//vrpx95qNvHfJvR32M/D%20b9n4U7bjvYfOX4fvNZTIzuGf0n2HbCf5/afC3vfqO8d733sovwI7y/rL7XJ9GmNTYryPJuf115lC%20etvH7ulptUgKww6FF4+ojc6OKrPUFLOQFF5q2Ffw872OC9mqedvPTsVbUrjUaEbQnU6jUil4xNS1%205ZYcJl5A5eouFYEkGD+dGjxitKNXaZA6ZqCa3c4tMuu5p9Pd1Ao5q160XMtPNIPEnk0jpdIriVWg%20e8c1fBXXY7TEqkkK5RskYiFxCBSuGhXv90A1RgCzuyV7khmheC+LVw9wA/pXDsT6RFKQUn1mdU4w%20Lsxm9fdpG/vwjTfeMFpdvdP/7UN5n/+9v/sPVv7ko28Rtlt+/e577acIW6zn/YP8eMt2TXvLW977%200Y/+7p/8ifzi5umf/P8IgsZ43+G3v82dGG/72ClJKZcUn74gfJpJCqIvDBsdVWYoKab19szhWV/y%20Vf0kNwqrucnGWx/ty5XL9bZtrvLgVGnusuSw3Kp+B/XPgox2OcMxgglmUuWIlVqk46BPgOm16/Vy%20LicOKXvlghAtD+tJTvQ9OJYC4x6BWAwSSzZ5BmLFNVZhikTQEht7mZx2VeRGt8rG/emjR+Z8csX7%20PVCNIWarktldqrs4MyL0vRz0Wh4Bjks1+UdK9crS0tubQ3EWI/0yvPd5y8SJ0ej7foA5CkaPHg0H%20r8gnOY7sAygjy3bxF7vYW77/e/mx3/v9bzF3D+6d2MMz9r4yGFqv8C8b//f//B666+Tkf/v5n/+v%20/vk//yf/5Ef+3dDlcpoQoDkvU99vezaE/7JNLlmI6ZlCoc+vZF1H81puj7GpHylBuGIIujv6U0+k%20B0g6gAPT1aLfdK61vG9j4LSFejhC9eKsRwIZyjdi2VrrmPpYeTeCPrIjFxW904GsevOwXiBTB83Z%20cAUmFoPEkk0qgXC8YxXCFOolNvYyGT8hCkm3mim3WSdPfD5N8X73rzFczBWloogzI+K4l1Wu5R2g%20WappNrBS/XM3ealmDeco++a3GS04d3nc+8K42WV+gY/+P39P+TuTxr/0eYzT8ot+P7k3nnM5NHXE%20aMTVxci+983f9z32S3zPBxufvX//y1/+xCd++eZNXVz899Xdr0ovZwlT/K1Zjk2WjJi2pBh2m0X9%20JmVPv2fXNszHP4xZ/s63srCbQ+XIaXRoCvn1Wimb1ZqHbaEqX9EfDW5vNy0PK9h7ruZhZWOONjHG%20Nquw1gPVrUY4Y1sYwbCdIQzlHTE++1vLlkq11q0N7/p0HIoQiJf1Apla3UjKRWtSBoklmzwDsXWn%203WIV/t5RL7HxlEmjPWwf+iU2JjwjNjSqKtoqWttBtftdocZwydYoFUWslUOUe1n9BvQKUCjV5Nev%20/uufKJiN51hPkM/vy/0zuvXz/93HPkMb/eFn/pdf/l95K/s9//mP6033z7/4B9QfMPyDn/2PKD/7%202UcOL4XeIp8argXRVWA01Xv/de2z+s7h7kf36Iabaz/y6NGbvu/N1p2fFfeKfLZ2nVLbffSmH/mR%206osfWv9hu2diJF5uZIuZvkEiOER15bDPLJnQXApv6eoxA1nYRbf5zc0WApUPpsqGztXnUshTY508%206jtoKJ/IrTKQPJMnPtyv5jEbUXqgl/Uc2edxsHrOBihajgjEY5ApP/HhFSvf5xpcS52XHeJPrOdY%20f8S5FAELiVvtZZ0l7JUjgWuMQBWF1H6TfeLD/15WeuLDcQM2PAw1Ts0f//Efm2e8+BU2heLi4qE5%20eeLU+iCEyXt+55zyOzftO37ol7741w5++6eF/b/9Sz9Ev/z0b9v2SAOR7WdnWvkiC1QSyhcll/vp%203/4bwv9L+D829Q03P3Gf8n++h/5460f/5Fvf+hafbfqp11/nj7Z84NMX1nmr9CmZlM6lKOjeLcGL%20WGrR6cRmsSF7xztLtxrmZJ38iueR04AP6mls7ji7KYyObrZ2TDbwW1lPpMybqKdB4Ti/rgi5nBgZ%206z0ZxlBeEbNczTdEYhrzYOFAT+sFMnWgHFMsWhMySCzZ5B2I24G2EMPfO8olNpbEWnK+0HBPbJy3%20dQjLKN3vvjWGR7ZGqChirBwi3suqN+CaR4DOUm284Mk2FvC9/80f93feZzwH+pb3fOKXbxrdel15%20vGvni7+1/UNma/5DP/U/9n7vPU+84eAd1Rd+6ml2zPf/Jw8v9As8ooLljYdsMsNP/caxecTTP/XC%208eHNG+aZHzn+DX6uvvM3jj/yDucVbtw8PBaOE0KRXe7RxRtMM11cGhtIcgSHhnOMJFmDIJm9vb2T%20k5Pd3V0NgMAYA8/iy1IBALiXY+HOnTvvfOc7NWF+hLNbzMYFWP+cfTfHDSSzJoI0unee+573/Jam%20/eT//ucffte02mPj7V6UpaUl9rmkv8trySTjCT9dDHCaYCVSAAAAycXyoIdjF9MTFxcX7FOYihBR%20Ujy81P93+fD111+feNK4GuCaQNQTV3TYwWSLTYKIobEtM3w5NyQFAACA5CoJzTHkYfNSMBfFv2i/%20Fuv136H9T/f+Y037D98cvet3ppFc4dPOFzf/MW2tr1xhQoGrCptCcuqJ6WsLSAoQhVJrhFWnAMC9%20PA2FIYVJiouLi7/a+oG05s3XvvY1cXSDJJn5MMgX0WkhdV3ASwEAAABIOuJu8oKoihQbgU0TYTAx%20oYnP08pkxKzGPpZQZAEAAMyFqrC9A0p8AUS6JYU4/1Q6R0Q6TjR94KUAAACQdFXh/dBH6iWF+DCL%20pk+nsImJTCZjm+w5E+ClAAAAMDfawqYqeMc9xal2vPFT4p9IiAUgKQAAAMyfnrBpi0WQFN6jHou0%20bBgAAAAQXEPY9IS4ZUEGPmzv77JpCw/7TD+qmEsBAABgnrSFlIQn4Qs//uPhTnzrJz8pign20Icz%20+TN8FwW8FAAAAOZAQzg74m7aYnG8FG6pVjEaJAUAAABglxG2LQuSarfkY3omAAAAoNqseje07qd2%20q5lMptq1bR02i5lMsem/1jE5XeWwCfLIfZlyXytBUgAAAAABFIZfU1oo9LetsqC7U+8lWUYoiqek%20uWcgKQAAAMyHjPB4ZaQ3+bx2cCRohO5hu1KpzHPCk/kkLSQFAACAlLN6aytf3zEHP4bN7X7j1vpY%20YFTNJbno+Aj5VW5rvXpOGC4Z0GGSTCZJvotEAkkBAAAg9ZTWK+1DphCGRwfaxlpW2NdinfxOpb3d%20HJJfnYpWaAxGo1ZJ39+rb2v7+v7eWJfEwFs/+UnyJ36BpAAAAAASryluNdiEiu5OPb9Vy4r7DDdF%20uS0/tdDY148nskTrn8Xnp2Avq2BiIvSLKyApAAAAgOmSXdvQDo66+qBHSdg+bBbLWod6KQaNwrQj%20xZREOvQEJAUAAIBF0RS1rXy9XLcOemja4LRXWM1p+oBIb9px4gMfkBQAAADA/FC61ShUbIMedKNG%2052JmNk/zhpeitF6xTs+cpJ4Qhz/mncze3t7Jycnu7i4KGwAAgCTAnoe8c+fOM888Iy5vIa7JeXl5%20eXFx8fDhwzfeeOPBgwerq6tJTlGUNT6+8IUvXLt27XGdq1evPmaytLTEPm1kBGgzP8UlP+ClAAAA%20AAAkBQAAAAAgKQAAAAAASQGmDlvlptrFy9sAAAAkkCswwdwoiqMDrTE4ts1VBgAAACApQCCyteNj%20WAEAAEBi2dvbe/bZZ0cTxv5OskKjURF/DcwDO+PNlY7Hm8zIKR35KnKFQoGcab9+p1EpiMcIh0iv%20Qo5oCKHYr1XpWDbqP51XYpchWxqDke8BThMNFCLfUTCjV0aoJNYlKMXQrNCwxWC8s1gl+4xgzP3k%204tSWlcbAeWFnRDsD7+i5W0NazFwDcU2v23F+4SiXN9XC45Y0lWOcRbcTuWDEW2gVze5RSOKqbawH%208aPoIQNyEb3Qx1LkrEl2JthykUJjEKLsTRT2pOgf/dEfiY+Jfutb3/qHf/iHv/u7vzs/P//bv/3b%20v/mbv/nGN77xF3/xF1/96ldfeeWVUXr5/Oc//+Uvf5mkcTAYfP3rXydJ/su//MtvfvObf/3Xf/3a%20a68RaxCbEMsQ+xArEVsRixG7XV5e8gdup8aUJIVYxoW2clzqxeJLbqwKfzmq9YZm9YO5ogsPwQxy%20wKsy8R4xDzLuR/OggigErHHjckUMxthmuftI21WxHGK5knmp8Sk+BzhNFCTybmb0yQiXxBYsAQ5c%206xiV0Gw2tMXdO4v9LaAfUGhYdsuuLhYWeTQd0ZOc6VrM/AJxta1HI+tzkF95Uy88nkkLcIzk7g5X%20MOIvtGpm9yokcdU244zjomjAtwziLHKdsdy0njbgXTppJaFQ9iApICmSKCkqFUmZ533McWfT0t44%20d3hVbXIlYI+K4yiFQ9hGa8umyXoL1hrJ/YCQkfczo1tnzCuxkrgKSQ0aml37jAPyzWJ/CxiKwqoM%20/CSFp8J169J5tqD+gYy8C0rQcHyLU5CS7500hWNczwpZMOIvtEpm9y4k8dQ2bhGh24Pli6/1Bg1C%20QRYl+Xb17ICkgKSQM+snPlZvHRt3Ya+es7/7NFtryScjuu4Yk1/RDxg2t/Wl5QqWl7pn1zb0m6Z3%20cOT2+AQ/RHUp2+5OXX87fGW9ZIvr1obaAQ7UI+9pRoVpGt6J7Tbp6n2lVqsUKbTh0ekGq6zMJYZ9%20s1jZAr365vhRmNKtRj54UZRFzxejmEULJFRk/IpT6JLvlrSwx4QrGNMutNEIUtu4ZRzNuUr8RW5F%20YiZyyspavDcCAIwEPERaapmquF0uNiM9ITnsNjfp/VqodIyaZHDak92H2RXW5nhpCuMQxaVsu4ds%20VVxHRUESWKOtpu8BTgJFPpIZvRJL6smDOEIjNdXqmlFrtrfVYqhiAaMm7rXLuUyx2qTCwl9yDnnF%20br7uP0D0nMUsShpdanWfcHyLU7iS7560YMdMumDEX2iVCkkMtY2ZcWyZKntV6PZAV4QiZyqasUDo%20HmnrpQhlL6ncTy+QFAGboFqkPrZ+mv4281y5rjU6o9GxedsNz/qhY5VbZXdi73SgUPv4XShETIKe%20EsWMboltlzO5ei8O03V3TtdJfVlaryj2ktUtQNUUG/npteu6sPB6d4deWHLlNps2Z5YUlei5FrMo%20aZR7IPzCibu8+SZN8ZgpFYxJFFqFQjLB2iZsvihYj3s/DE3RPdNWShHKHgBJlxS2PvZm4P4FHQ/k%20ranorOMdGVUvoixwSXfCvccU+oAQpzgjH82MksRWOl4PZQQIrXto9IyC1FXKFsjWWsfjefbUYeEu%20qfjg8TGpn7NBoudazKKkUerx8g0nenmzFh6/pKkeM6WCMclC615IJlTb6K+wExCLbjxFztjJnA7k%20lLVSlLKXcA4jc/36dSiDuZcUlj52L4zY562pxe9vdmRsvlGzP+ElF1y8mD49JtfhR98D3E8JEvmQ%20ZvRIrDDXYzgchgyte9gmfUedMnP8KtVVKhYYNpu6RbMloiv41Plgw8Dq0ZMXsyhpDBcZ5fKmXng8%20khbomGkUjAkU2inVNk7XCrll+aMZVELYHRExFDm6ojfbu1M9XF3LxnAjJJn1aEAWpENSWPrYIUXJ%20vnHj1DfNW890+llvjOHRgccYqdF1MGZaNW6VLPWFxcs6PNOMqtnuXRRD0ps83wM0V49lwMgHN6Mz%20sdYAjbke3aOjkKF1D1cdz2qq1FVqFjgQRnyzpdZ+4EIUKHqyYhYljebpVaN3qhaOcnkLUnjckhb0%20mMkXjNgKLTf7tGobecblVoNeK5j1+BTRdt9bUUQqw8mCORuCfoJ5lhSD075tFHTcx1aspAz9bwTD%20TxceADAa2PEWPtOpMR4jtY2CmoeQY/Z51WvelXzKEjmKjTuaLTnratC+hDmWP+xWi5umn9H3AFd1%204B35oGZUSezg1H7SsFktn0ocNv6hDZvFbUs9ZvSZlNokJQv06rnx/Am9BndpZ+RNk2/0/ItZkDQ6%20bKufXu4zl4tyOArlLUDJ97iDlI7RJlwwohdaL7NPtbYhx+g5J2ZciGupWG9wemo4TEwlY30YRbhC%20xPs0gXri/v37IT5VAl9eXg4UmWWTWA5LOgl4e6bz+eyK8/1DmuNw+/aC7QUHmvjqBuur6iwv3gvy%20CsiB8Fo86bvs7O/EcwTieoDP2zNdIt9RNmMMLyJ0fyLePbRxYJL8Mbe6ZfFIwQJGOmktLb5A0/vF%20iPb3CHhEr+FfzPx2Sl4uIKHSUbJVtPLmVnhc76BCwf+YSiXE2zMDJDZ6ofU0u28hibO2cckYy1Gd%20OIqcmAUsjfzFX05riMVcuewl7r0U5zqkRWNfSCDkU9NuK/6x4/mJHhB7nAch0PHSg+fovRQZkgEn%20Jye7u7vw2AAAAEgC9D2Mmnbnzp1nnnlGFBkcsoU0maLguHHjhqZPz1xfX2deh+Xlxmj0fIaEpmm+%20n1omQ8LkHgtvdwJr+y1+keXl+46NHscHCvzevXvXrl17XOfq1auPmSwtLbFPG+J0Xz1lmallHJYN%20AwAAkCr4KIbeopL/XjC+yz+f1/QDvJXEdX1I4r6yOHDS0EOo6yEQuaM7JOq27fMOJAUAAIBUwT0N%20zANBWm6P+RO8D+/hn+BOiOuyuQ4eLopFA5ICAABAer0UVCss65+a9FMXHsZZE42V6Idg/gnn9nln%20CYUPAABAmhC9FLqwGHn8iWfJQxOcEOTLyH0vgJcCAABAqrB5KbSM6lm2LeyRzpH1wVG3n75zMMX5%20E2mdSwEvBQAAgFRh81KMRhn9CZIXPL5rMi/Fue6TuG99pJM9JGI8cSrshdnhpQAAAJB2L4U2EjwQ%20bt8nPpdCnD+R1rkUkBQAAABShe2Jj0zmBb7L7bsme+LDbZ4E2Rj9mdJUAkkBAAAgVTi8FM8LO6Xf%20/d9L4VQVQWO1CO+lwFwKAAAAqSKuuRRwQgQFXgoAAACpIplzKRbhvRSQFAAAAFJFXHMpACQFAACA%20hWaicylCPC+q8uKKuV/WXCcpcym61UwmU+0qHDnsVotFY421YrHaHfoc3iyqhhzTiYrnRgk/XoLG%20JOjxet4Wm8Mw4ceefenO1klnJQDz5KUYjZ4/p5+kLff9fJ60925vz4zIudqLK85T8X6LBEiKYbdZ%20LZbbqlVgrtzObw301W4HG1q7nAvQWAEAAFgQL0WIT5guIjMf+OhWiUbQCgVN6ykcvFPvaZVOq5TV%20f2Zrx6Ma8jDNhM5ilA0AFl1VhPgE8++lKFQ6g/2Ngor8OGxrWmW95ObBqJoDIpliVe66EI4pGu5e%200S3v7gfWXSnmaEuz6xJ40Qj56NR2rjlU4xYvi8bSj6tWi5ZouiZwvHV86PRiq2Z2ysGOI5oK17Lm%20iCT73BJrPzF8YmMxlBGdZnOcrd2qokHMCHCM46XWUMkajxRJLMkKZLGIIRIwD2xubl6PBmw415Ki%201Do2nQ6+jddZ39PbUW/nO/qISKfSa9c3nbX8+JgBPaSsPGRCXSn8zA2tXs4561YaeK/QIIccr5/2%20e9ZztQ12br5dVxqo6bW19X1yQqPAoylP4LC5WW/3Kh3jUD1a04ytitlZirTVff0YkrZtdkz4awnZ%20N+nExpqt7dOVW8c0q4gRytsaHb/rVHi+uYVJHS4jZmA9FCaqfQuzW9Z4psjNkj1tg2Zfq4QqEyTe%20OREdmHGevRRxSRNSE65rR6R3zyZm9E4HLk4OImCy9PDRcU1Ny+gnFhq32Jm1LVKzm82i7ZiNNRpi%206dbY6WJuZ+feoq3JwZFv42NeTL8WS4lXAtvbxZ2V/QGr8qcaWwWzGyliF8utFsxjgl5Lmn2TTmy8%202WrEfiWvG0SPdG5VUwyzW9UNTMf9lAqzS9Z4p8jNksYJAACQFknBqmLXLmwxkytvn66u7+8bvbkg%20Tg5/70h+JRviGLa9V88xfzLpH7q3uq70z4ZuCaSigzbSpJuay+nO7enG1t/s3nFQv5Y0+yad2Ilm%20a6AwrYJCpTDLs8Y7Rd6WBACAOZQUfPDY5swtrdOu02FX3oWlEzePW7VSltWKhdVcAEXiL2X0dj3w%20MUaPtMEeUTEI6j6mFb1rAkut49Fg0GlUqDe9vtOdamwVzO4dB/VrSbNv0omdaLYGCNMmKFQKs0vW%20eKfI25IALCzLyw22KodIQ98a3yWukz9Iikm4I8zBY7szV/cG05HnoSA9xrqDqY1hc1vugWeKZNuY%20mWCeKbjih0cH0sdO9BN7pLke6lPYaPCVLXvU9GOYo1p/MMW2XY+y8msAzIuxa/EJqc4E6iEWj7RS%20Tfdh01Zj6rH1MbsbQa8lzb5JJzbebA1pEIegcC3MClnjnSJvSwKwqHpC01+hbVMVEV+kzTQE/4OX%20YjZiY9Cp9MvMOZw7INXsQNcdpVanQtWGvjVPu+ySHlepNWhUNN2zXG4XKp39WtYcOqBnFne0vPzB%20E3Jip8EumysfaI3OwNkjpYEXdLd18XC1UrCcW6GT3XRnNo2wQm+2UFk93NSd36TXqh/vksBsbd9I%20Eg27sc9sMbXYKpnd/eRglpFm36QTG2u2hjOIPsuB6oMyf3yDiimZNVSyxitFfpYEYKERF+ZgLgqi%20KrivopGK119GJLO3t3dycrK7uwtbJAPS5SRNRGNwjB4iAGBBGekrhN65c+eZZ55hPutHVsiWy8vL%20i4uLhw8fvvHGGw8ePLhx48akvRSinmBigjkqbD/duK5rDtvqpoeHhzdvbu7t7a+vr7udeO/evWvX%20rj2uc/Xq1cdMlpaW2KcN8Zlz2sxnMlPLOKzxAQAAAKjiKx0U9YQ52LFJ/hFVYTpC5vsR1iWUDwAA%20ACCKsPDWGVL/RCqBlyJp0NcJtGAGAACIBl//U1wIlA002I4M6hvgkye4jAitJ+bdLQFJAQAAIP0w%20MUEQl/d06omg2JwTmt+jH0RMsIc6bKoiZWICkgIAAMCi6YyoDfmy48mO2+YWt6XJnapCdJxAUgAA%20AACJhvknWOPNfRXSN0AE0hlcB6i4KNxUhRmZtAkLTM8EAACQTj3h/O5kb28/3CWCPvdBxIRj7OOc%20j86kw+zwUgAAAEgbXEOc+89gWA8RPndRiF+Cigx4KQAAAICFxvmsR1A9weeNpmw6BbwUAAAAQBg9%20wQnqnzhP6Tsq4KUAAAAAJDhXH3UKC/427oAh20mHxeClAAAAACTw1UfFBT402auugoecTi8FJAUA%20AADgqipsW2wygv2sL8DLtlXAwAcAAAAAICkAAAAAAEkBAAAAgNSAuRQAAADAmMPDw4ghbG5u3r9/%20fwFNB0kBAAAAWFhfX4cRQoCBDwAAAMDO9evXQ38uLPBSAAAASCHSF1U5Hwp14/79+0QfhPiEpAAA%20AADSBhEQYmPPRQZfZNyDcHpCUVV4L446v2DgAyjRrWZMql23g4bNosfeNMFTmrgk0wi5ZpOQi4xi%20cxgy4R5XFq8tbAx+MQCiYmvsuZ5gn/xvml4K/vrtNL2HG5ICBFMUh+1CYzDSaZXcjsrWjj32pkmF%20hEjpVGzSrebq+Q7JpE6lXXaGUWqNOJ2KplW2atmgwfd8rsyubcqHwWmv0jGueBzsYgBER9rYM/8E%20+WR/0b0UjeXlFzIZ8ikKFw8x4bsRkmKi/S2z38P7WBG7O0bA8lAC1uc8kkJonuHPZ6f8rK/lV9Ag%20zIXyu0WlTulWo9A+7HqIg3K70gmgivRCXe5XKgWfK7Nr904H5ubVHDIGzIrl5UYm8wL/HEsNhUEH%20dT1BDn5+NNL0VT+kXgpf3ZAaYZFkSUF6goNOQ6/BWG1VapHfjc4gWneHdKcONkiHe7BxkLNrB1Jv%20unbD5PXsjrbPOma9+iaTEF7hJ0ShyfzSogDi2s307VOjtMvkd1MQXM4ALXLMGoi5t2mRYKzXS0Lm%20V3ec5cw+Y78ZlaEtSu4RcDWIkPbx0IBTI7ql1Hmu2zWD24QcUKxWi/wUz0SJyi+7ktf6Z0O3srA9%20VgCKrGyRQn18a1W+t9QS7srBaY9HqLCxBikKZsP5eZ39jbTb/Lv66YH0BFcSTi+FulZIgapI+MBH%20tlTbp6KCtddd0oDXaqVoNRTpNzF3b3Ztw9GPoyqmUQiielqsHh13zDzDn2H/deyXHjT6ZbN9Gjur%2083VDAJFGrKx1zANJu2YYhfqvW2veAYrNtTUQY3v7YCzBdrpUJLKQWXPkdpYl2D4bgFk/9dR+vkFJ%2000767kbwdONYI3qk1NbvN8cU2tuOS4azCSn8bW2LjTf5JkpVXR4d9IKOeWRLqjeeoFeotjjYxEwK%20MJeI6oG7Ovh3cYxDqi0EZaM6DZMc6bGcOiRFTL4KQ1TkimcrLo5a2nVTdAjQjpwZslc/LgS6h3eC%204UcUUrxXyucB0LhW1g1n9XqFRVZvbtjGbG2r0js4GioHaG2zZIGYfdbcasGlpfO6tNgUUhHn02h6%20BiVLu96AM4/9uNvtnVJLP93cRwNUj5KnTXjB0pSzRk1RrE9mJoju0sp3DIlIb4aNfTaTYus0txhT%20d0HC4JMxA58o6AnNfPqUfed72feGGbjbXIpzHW8xYR7wPCTFdESF1jtwa59ZbW6Ze+HhHp7I4O7g%20VDM9vAkcPBaEjiXOvXFcSYNmtqb6GIdOuR0oQAvSQHwnZPhfWhnPoORpJwWpo5UtZUchpUJz6hP5%20cDYRD4jBPpNTFLqe0BoDU3VRBSYOUiZFYIPFcjaYkzHDeSm4niDf+bjJaPQ890xo+srmbC6FxxMf%207KlRp7BgG4UhjxcgKSbOQMsX+PCHh/Q4HtmZ2Kx8u5tke3U/wfPZqcPEiagiLG0sn6PvOk1fHqAF%20/0DiOyt4UK5pNx+KMB+ZUEgpb071OTTm0xSTSZ1nCKJfzH1GrUVNxe6fwHMdYBaM9BbdjYx2O4x7%20Q9AH4mstmJ7g3giiJ8j3FzIZDy8FVxWisOBiwjqF4nnvZHqnFJJCpb1unq21jrdoLe0pKpS8FKTW%20NZuS2B5j6FYP182KdBLhx0BpnQ3Um3bSB7ZpC2TO9ugetllkxSkgHk+/SAMcW1ktEFvn1fcs/QBj%20kkJ3x5hLIaSC9r8VIyBNuzMhvikVG2ozt+msCokKC2WTYCGM40rNI3dFTKZYDpubon/CvDGEiaiY%20qQlmoyeIDjg/r4eYo2CbLWH7blMbzu8ewkIzJ1jY5mO6LVfGuxEq6YWk8KyputWqtkabazZrzUtU%20qHkpSK3LWiXS/mgBJ727CJnDdTY1oVkl4cYdflyaokVn9OkyazzWLWyk0xJbxjD9sen8p91u96kD%20kgDFvFAJhDWTvXqOtTy+Z9ED8uRowrZmPs6oPy+pn7WpbVRUIyBLuxC8YBDvlPLweCwy26udhuAD%20iWaTYCGUWtS7oo+LjB8RJS27oIMkTgrxALfvLmLaOEAXeD3DdFzMC5bL5E634L8A05IRNj3BxiyC%20qgpRH7C5mXt7b+Lf3eZmunkpxFEP/qor266bNzcnZIepkdnb2zs5Odnd3U2gnOBPdFY6RBuQ6ot3%20/vQNlpqNzoRXHeUwAi40BnolZ3ps6en8IpYr8PDtFxLjpFkDHIcPJlY8TremNbQ156aqHq21JlEW%20JxcygGLQtDt37jzzzDOse/jICtlyeXl5cXHx8OHD119//cGDB0888YSbnhBfyE23OKZq2mZaHB4e%20spVIPZ4gZSMdHK4nmAoJt9jH8vJ1XWHYTzw9Pb127drjOlevXn3ssceuXLlCPpeWltinDdFTT5t5%20a1QnSpLX+KBeh5rYARuNWm495kBKzRaw+FN+ER6+/ULyw23hAzBbRXF0urpWm6+QAQjQM3ZpMpln%20gqsK9l1Tnqqp8tZtUUlMbuUwUR9MWSIEBS/kBiDl8LenzFHIAMSoKkQ9oY7iG66muRKpKCySCVYi%20BXPbUB6PYAUAFko3cEajkWL7yn0VQS/n4aVgT3nEvr65c8jDmXDfn/BSAAAAAOHdEt6taQg9oU1s%20JdKIWipQwiEpAAAAAB8N4d3QxkI4PeHxXorw7bR1xqVHqmeuMDDwAQAAYG6Eha0pJd9Zixv7tZi/%20IdznRL0UtqmayRn1gKQAAACQROnAniNlLSX/Lr6GgYkJpifIZ4xX39zcTJQ12MOiBG8vhU1nzMRv%20AUkBAABgPhSG2F7yZpUJi9j9E8mBvXxClFAe2mK27grMpQAAAJBQJWH7btvCWln26qcU24GkThQT%20zpdZudlnBlFFqQUAADAXCoM/O8qHQhhEVbz22msPHz68NOEv2RQ/k7zsluh04Q4JppbYGzO5qtCs%20c0pm8pZMSAoAAACpUhXcS8H3MjHBPvlrvNkXLdkreXJlwCUFf+W2+AZu0V2RND0BSQEAAGAOlAT7%20wmSErQEWDyPtLtET5DMdkoJ/Eb0UbnMpkvDoByQFAACApHsmRG0hvjqTNbp8HIRIB3a8beAjmaMe%20tnSJEkF8mMW5PJhUTDgVGCQFAAAAINETtiaTtKxELrBP2wOW0ikU8zKXwjmpggsLUWeI8zSloUFS%20AAAAAJpiG2nTFrxh5r4K9imKiSRLCqejwumxcD7xMem3iEJSAAAASI+GsL35ynmMOEWRaQumIURJ%20kUA94Rz48HBX+CK1GyQFAAAAINETNk3Am0zuqHAqiblwUbg5KrzlhZsIw1wKAAAAwEdYeDSWXE94%20iIl5kRS+wsLjoY/ZJgGSAgAAwJy5K5zb2WOi4pbUSArN8SIsTbZgGF51BQAAAHg1sZrjOVKpu8Lm%20peCqIuF6wpYWp6qQeiw0xws0pUaDpAAAAADkLgrbp9thoqoQxcRceCnc3BWa53u4EzLwgWXDFoNh%20s2gVucXmUNhV7ToOtm6aCd2qEE2/1KnFN8SR6qf4XEU5OVrkiwWKM4mXo1DIN068iApx5iVWvL50%20YyJurlncLt7XnVWsptXu2rvvX/t3/+k/+pk/tD51aeXf16//Z62vL80jbs99JEdJQFIsIJXO2CnY%20yddzRrWcrR2PWiWxidmp5zvWTfNSyU4Ch30mcsqsLEnCL/cbA14oTBXl3Dhp+Zir96w/NT0Gg40D%208/rSjemT/soJi7GYJb/jPmy+femDn3F04sXmNaP5vSFKk2uNJCsJ3xdRaC4jHbMSGUsJv72sPeti%20tTuML2BpT4f3ztIp8E1KrU6lV9/pyvctQEUFxs3ScS3LMn69ovXPhi4bJ3ufl/uVSmG86ayvVbb0%20GGRrW5X2Nr1VpRvBAuA2UUDSTZfpCfMLPWJeNIX36600x2SLhOiJhEsKWrF1KuRLgfVMGlqvXc4V%20o7b1pK9zsDGQ93SGzcNV1jmbVKuqd0Oaplgi1x8K36cqKsymQuwYjd3dPD4qEbbpMNbjbJeZaCPH%20F6vVorl3LBRdnNfjwA7DSD1JElyPEfa7hy/aR1C54+OcKZKaNExyrJb0SN1h1dWmKgYxYr3dLmys%20Zf03skxtNh2JkF5rXGCa8j74yha5545vrcZ9o6nF0FY+/c2lmHcKN479Wo7sdl5LjK3PnRtXrGwb%20paNjjota3C38h8x08uJhHEm/6T8/uPJzxDJrS28nV6c7PvMsX5/zyrOf4e2q5P0Nn/2Zf8T4md+n%20BxhN9h9+6DsYH/rDRA5weAx2SJ0TyRn40Pb29p599tlRUhEkBRUVej/G/Bk6RGMEgAYnDgYYV4t6%20AW/0NBgXsOilwsQva00r3zTeReNjHES/jmPmGeHx+bJtRgDmD9slbFGybBUuLLuEPHXSJNjN7zjW%20MwnSwF2v6HpKgOS4ZpxSBinkqbxU2vd63W52O+oHSa9ls4Aky71TKpylHFSgGHqVT6+iJi/tAe50%20t8jwoNyu5VsInUFFixX9Zppi/NXbVsLlyVe6U1rspXk6PvLOnTuikY/YUmCPjuhZR3QF88ujD5BL%20v/iVy4s/+/jbtA98+oLycMzvv1/T3v+pNwj3PvY2TXvbx+4ZX8cb2bZEIiTk4YXApcAjB7Ntsudq%20LkV2bYOWut7B0dDZb1Ds5FPvqRncSt7m0i21mDeEzzOYDIb3VsutFrgnlyStdzqY9WgId85QH4Za%20hIdHB73Kekkz3NHOzNGbpdXc2KG9XnL3qHcP24XGLR6akWcql/BJghgZ4wI0NUHCF+I2Hsb2TlHU%205ATNILq1fdgNaBCWHMe0CelG8aIdFnDpVoMVBdm1pBZQSemg0S/TvtemttUoeGz0vNFUYiiWT19z%20Bcw7zzs99LV4bAPmcqRYmbUT2W+MiXlflIbIiiJJh7axlpUmx+8GobEVjGz2xUu/+ujRr5b03rl5%20adZPt8+x+INP/frbPv6vS/Rr9mefez/b9bXuJz7//v+Sb/z8J7pfyyQQt+VGPdYxT4K7Ih3TM1nh%20dsy9cPEBOu9I53hL3mWeQYoYnPYclhibsNwOEFS77HNWfiXrvCap0ewqShB8QS+hngQzMgHDl8fN%20M0UxJCdg6rhMCpOnUpGnMJdirM0d17JaQBI7zVvljEj7pY1NLN2oEph7DO1Fwt9cYfMuTFmVXktW%20gEPeuYqxIhVsRyt7DPlJLko1BbW5oSikyXEvHsaR9Jt0XgWdrclYa3NBodnnbH518IqWyVibX/b5%206+++ynj3r9sHTJKLm5KY+fyJ9EkKayUkEnJGhILUn3dI/8BWN5EKgs0yEcaAFN0ugn/VnNanubR4%204zZXomlo1R/lEpNMgjxunimKmpzgqbPHILxBgrRBpGEgRUl2LasFSOxCh66wMVQMg5efUHk30WvF%20mMuuQekeXH1bu2xOivK+aLa2lT846gqKwpEc9+JhHKnRN0nYE5756ktvX/kdcmk+CGLvp5tkV/6Z%20tRnm3z5wNB46+L9quYQKCKfYkSqJRM2lmC9JwcqcZLaYTTN7eClIITabAI9qyb17mRZBUS2PvfiC%20dQ170N2qQo47OG1zsmRdW1qFmAc7NQ3TcuaDKHRioM8lpAUkxiS4xk0/TB8c805RxOTYLOmeOuPp%20B/0alhj4GkQcMySlnt1b0o3OHrTxyEV3p677qaXXklpApXya0wDN0N02enrPVGIYqPwEzjvvykx6%20LTO7J13s1YPipT3gRUvr+Xq5bigKaXJ8bxBNk1Qp5qXpNM0PUi+FW4NKh0V6P/cxffrmV1/6pV9j%20LXBu7ScKv/Z7n2F+jJfe8Rib3plcz4SHjEjQrEzO/EzPHDAlXPCclKUWpDl9yW1mXKcysamS9omL%20su+TmhUq7/5YZ00ZY0ONjnN2ovt33kfhZjOCsk4VHNkv4jVVkOxujCeFSS7hOmfOkQQF8zvDH7gZ%20QGpAl3ODJEeYAicxB4+KPIMqFUtw6gbxTZO8VMou6nYtvpme4H5j2cqJNMNlGz3sphRDx4xIb3N5%20FZVgd7prbmqa+50lD9U3XRFjJboh7Pe4n60sr8OR5J+8eBhH3rlzR1KliJd+8ehFNm/z7EVh/qYA%203a4f+fGPk/A//hXmmfg0j4m5JXE8mgqxNzVJlhSOZrBA5MTATXgEaI9tU9n5JGpe4CfYtgPgWiwr%20E3zmZ+JPEAVQ89Ow24Q1OphI/9FePIikYOuBgekTLheTvMYHnRtRU5v60Ar05nZbwOOfdJanBsAs%20GB6drq7VUpcqNuKuD4frA0OdLOwG/IsHX5vDbVWOhK/WMV9IB1BEC6uPsGDZMAASoqBbtTSmar9x%20kMtl6oZf8LgEuwH34vGj7kpBugfCIhYxYTOjU0CIy8BCUgAA4m4KjkcBDq0lOoZgxiWppioanAdA%20UkxCZHgICLcFYCEpAAAAJAI3rWBbmtxXYYAQlrctDiLqCam2YBvdhAUkBQAAgMTpCae2kH6BtggH%201wRSxwPXE3xkxHaMm7sCi5uDOIhxDe6ELoweX7SkIQUIPk0rxwNgFxM20SB9rIA/jyA+m4BnNAI9%20ymH7Ln8i1KrhVKQbvBQAqDDhsXkM/YOFd1G4uSJszZuK3wKo+CdEVwTzOoi+B3Gj1F0hdVRAUgAA%20AEiWnnC6KNS1BVCXFG56wnkK3+utKjDwsTAI7ysX3Ob03cuWbeSwYrVa5FscB4jb5AuzeZ+itsir%20ebxPVDPVppmscbjjlPpei6a22XTEV5JAYbjBM/m2VXFdRylsCbQc55spmnZYtafQJ1MAmBuR4THk%20AaaPJpsn6wYkxYLQrebqefMFyX228A9tqcpax9zGW6deW9tiS65JD6Bv9B+/ptdcR0FoQ6Wn9I33%204nXy9U1fUdEuH65b1ihyi6rWPtD22ZHmWgFCSt0X5hbo1essYHoxPWDvBHrv1RfSHi9QYF2n2SuB%203gYUM0U/v786sKTQJ1YAzJGSsDkkpPMnbEztDdZzimgfN1t5zKvQ3J/BgaRYTEVxOF4ljA7b6y2T%200N5la1uV3sGR0Q6Zi1nKD2BLybP207Fiq2uY5mJt5Gz/5RvNuPLljt2jaixpNT7yrK+ZjbjCwtwa%20ff06Sw0VA3osPRPos9e2PJKLonAm0N+AlhVGK1vMhjQG+sX8YgVAImWE5vJ8h3M+JmsLLy4u2BIY%20FyAmuMJgX3x9FR7Zp2EuxYKgr6y6KvcHZNrjds74Ii5mKTuAvka33rOf5XEKafA6VXPMjXSm/dac%20ly4Q6xtVHcvy3ubS42ovgaarih4QBVLKeifQJ/lUU9QPu61SicgDrbFfUk1gwJSaKdROVWIFwNwo%20DKeYCPRsAvCGT6FgLC0t8U++nfx0O9H7bVeQFAsBbSzduui29n3oewB7Lf/omLZw3Wpm2z9M3rln%20Z5Sr676iIkxUnSrCoi+UhFd+PeudQP/k696FDNEUubMDbWM/xJoWaikVFZRCrABIuJ5we16Ur8xp%20e/QRkiK6pOB6gvDYY48RG7LvxMhui6d7T+TEwMdiUFrncw30mYD6EL3FRS+bRig9gDRiZo+ZDuCr%20nMKvGF4T+UXVop7MI/WFiFb82nRz4kF3p64POXgn0Hvv2Nztw+YRURRr2Ymk1IjzsLnNUqgUKwAS%207Zxw7iLwMY433njjdRCKBybSXewLMe/Dhw9F9SbKNcUsg5digTRFa9Ao5sZDD/pQfLZ2zMcjpEs6%20yQ6gUw5yzDNfaHQahTL1CeQ8T6HbTjOOtaNob3p14D+zQlOJqjSlSteq5E/Z4ebRsgTy80qeewVN%20US7XiZ2D+yiUUirGueUe5yAWBmAGSkJzH/IQXRT/ov0ajBaL4YVPO1/c/MdUE1y5wqofPvYhXVTM%207VHSzN7e3snJye7uLowNps2wWT1aa02nwZNfiw4YnG6pDMOoHxnmcAAW1jnhBtETn/vc5374h3+Y%209J6/+7u/G0abNF/72tcef/zxq1evElXx2GOPOWdaSBF1hoaBDzBLRXF0urqWnZNrBZyW4faoBwBA%205qsQN9q4vLyEraaA7eFS6YQV3xzEwAeYGdlaqzYP1zKepSg0Bln1oyudERQFAAFUhW2BD3E+Jgw1%20HUlBWDKxvYjC9mZuDS/kBkCiNBSW1qAH1QIFWYNlAVBXFc4XW9keIoWVpualEG0uCgtxNRB2PFYi%20BQAAkGiPhXTFURhnCkhfpildXcUDSAoAAADJ0hOa483cYGqSwu21HyqqApICAADAbDSETU+IWzDw%20Mf0c8XhRqUdOiYFgLgUAAICkaAu3920DFb7w4z8e7sS3fvKTtoXZ2LQJG95zM+GlAAAAMBsN4ez+%20umkLGG36Xgo3+3tnHyQFAACARDRpzjYMkmIm9neOdyjKO0gKAAAAM27MvJs3vwDocjgGrqsJdavB%20VhoKevzc472yuXd+QVIAAACYA4XhIymonKBvvzfY1466k45gOtWGymCHL5ieCQAAIEHtmRZgvGPY%203KznO8JqOtkalsmLMQukP91WNtfgpQAAADCvuK+m062aQyHVrkSIFMWdotdB4oGwBkV+ldtar54z%20QxZGXcxL0UCqVbK5umgZAkkBAABgbnFZzq/UYj3qTqW9bZUIdBmeg40B262yWLA1KPKrU6FL/rCT%20u9UcdZNQBo1+mcuRXn91nxyRBAu99ZOfJH/iF0gKAAAAwEHvdCDdbvgWym2ZY2Mr0OiIW1A0tLO+%20ZrpJsrWtCo9NYWMtKQMw7GUVTEyEfnEFJAUAAIBUk13bKLQPpSMbZa3DXAeFaJeIMahZq4pJ6wlI%20CgAAAHOsKWpblXZZmC8xbDbJ98Fpjw2IUJ+ERIVYx0JyqwXTu9A9tLsiPIKioa3kNVPTDJvbbfnE%20jpnDBz4gKQAAAAAXSi19EoM5Q3JTWyONeulWQ6MTKDObp/mCQ4Ucd/L6TnNCpaFLKIdaxR6+M6jS%20eoVPzyy1+NXpDI1WAhWFOOQxaVWR2dvbOzk52d3dRckEAAAwaaSLmNuW1b68vLy4uHj55ZeffPLJ%20Bw8erK6uwm4qRFnj4wtf+MK1a9ce17l69epjJktLS+zTRkaAign9E14KAAAAAMQAJAUAAAAAICkA%20AAAAAEkBAAAAAEiKaTFsVtnLTovV7pD8cL4ptdoVX4jKX5lqrEpX/cl4lnfxuIQtfMuR+gE06ihq%20AAAAIClmCH3XaZ+9OfX4lrZDftj0xPYqfWgnWzsedNhbSAqNWyX9uZ5Oo9EZjI5bv7Wvbcpe8h4Q%20j0vYXsNGjqTva9XYG1tHg4bWa5dzxWoXpQ0AAECKSfZKpPRdp+Ommj7/Wz0SBAV9pZnZnmdLtf3G%20Qa7eq282145Xjna0Wst8Sepxh/oyRlEfGHa/hLcWYSe1t5u3SlgiDwAAwISYwsus5tlLQV9zpq/4%20VixWm90haZ5bZqM8bG73dW+BtfEuaPT44tmKpbEv3Wr0t2XjH3T0Ioj7wP0SfqkgJx0cYfgDAABA%20akn4wAdpwjsV2ob32vUyURZ8KgV9NWp+JStv8UnrfWZtvbMreenaMnSFuVbJMfsh4y40XC8BAAAA%20QFIkWlSUWsej0aDT0JVFu77JnQ3SJW0HWr6guxE2rU6J3Gqh76oB6OwHO+4uCJdLBHV4AAAAAKki%204XMpmtWjNTrWkS3VWqXaerVYblNng9uMhG7zbK11vKJlym024UFt7sKwWczVbevBVDpyVeF6Cerw%20cBMhpzTwBK11CwAAc8T9+/dhBHgpYqBfzxWbxiOYwzOtp43XebONZAy71aq2Rht4Oo3T7kYgrbpz%20nCSol8L7Em56pVstt4mgqGxhbiYAAABIipmRbwyO1852imyZN61hrvNGpzyORzLoZIhcud0u5/Sh%20h+4O8znQiZ1sLGJ41peOk6iPVvhewnIkFRH6PhLrcr9Q6QyOWyWUNgAAAClmjlciJXLgcF3tydAA%20hwIAAJggIVYivXHjBuw2ae7du7fQK5GWWh2trPBqzGGzWNY60BMAAADAJJnrNT5KrdG+tuk9cNGt%205k634KAAAAAAJsyVOY9/tnbc8pMdkBMAAADAxMFKpAAAAFLF8vLylE+ci4RPIXWQFAAAAADl/Pwc%20RoCkAAAAAOYbpxdh7rwmkBQAAADmuxle1plEoz5Nzs/PxQiQ76G9JrZwICkAAAAApebzXGf6gmBZ%20wPuYoKoiip6IMRxICgAAAAvEbCdAsKt7C5pAcocdHD1RcYUDSQEAAADMJUwHRPe4xBUOJAUAAAAw%20r3pCC+jYmFw4kBQAAAAWmhkOhfCZEyFmjNrGKcT5EOzz8PAwhAWmaY0rKHwAAABS2defjnZxfjq/%20qMTHeQzfwkcxEv7mDHgpAAAAzCvS7njodjexDfa8vIMLkgIAAABIm8CaiS6BpAAAAAAAJAUAAACQ%20aqIP6EBSAAAAAGCegKQAAAAAACQFAAAAACApAAAAAABJAQAAAAAwH5Ji2CxmONWupnWrxo9ic4is%208zNelVmvWO0OyQ+bxYgpiUU9LFz9SRgZAABAWiRFtnY86DQK9GuhcaukaaUW+d3oDEbHtSyyzotu%20NVfvbwxGhONb2g75YdMT26uDVsnLwq3f2tc2dZmRNqlVzFSbppQSZVX60goAAJAUoqoo1fZpk9er%20b5I+c7e5o9VqJcgJ33bzrC/asDVo5EVBUdY6XJS5W5jojY5WTmND2z7Q9qna6lTa5cym/n3QKLS3%204ZYBAGjmMl3ilxjDjHLilFcqT5+k0Fs2o8nLFc9WSM8aKNhsbaNALZYpFqvN7pDYsGVKiGFzu687%20JFQsXLrV6Kewoa1sMWvkVgvmd2qx3ukARQcAMEGNEgJxPVLvV12FWLB0ASUFb/K03sGZS+tmmROQ%20gR+bmqxToTKh166XibLgUymGRwe9/EpW1cLZlby0oYXBAQBz31p7t+IxLvsZMRz1NUjZYTdv3oSk%208GKg5QvcOS9tQY9HdhbcoZEttYhNBp2GrizaguUKqzl1C5OOfF8i5GBwAADwad0Z07yoTXYsu7PA%20kqLbPFtrHW9VNFdRgU6z3R6GWyJbqhFlQR0Wnl59fwvD4ACABVID5zoRBywYs03LuYzF9VIMu9Wq%20tkaHu+kkQzdPBTrNdvr1XJHOotBteKb1tMq6aQ+buPC28OBUMk4CgwMAEqgDeL98yh4F54nhgoor%20nBmS9PdS5Mrtdjmnd4C7O/We3iTWc+gR+5FvDI7XznZ0X0LuQGsMjAafTkMcj2T4Wnh41peOk8wv%20VAyZ4sftOwBggbwL/Cx+YtCVP21XlM57UAnKIxzF0xUPnpyjIrO3t3dycrK7u4viuCB0q5nDdbXm%20M8ChAACgxGg0Yp+cR1bIlsvLy4uLi5dffvnJJ5988ODBjRs3vAWBrQEONLMy9InScKJP6owrnKDJ%20uXfv3rVr1x7XuXr16mMmS0tL7NOGOO5NxYT+iRdyLxylVkcrK7wac9gslrUO9AQAYAHcG9EnLcal%20A+IKZyZAUiykqBjta5veg0fdau50Cw4KAMACEMvURe5diMW1MHezKBhXUJgWkmztuOUnOyAnAACL%20RWj3AD8xoo8hxnBmYkB4KQAAACwu/MVW0fWEGOAMw9EmOQHTG3gpAAAAzLEgcDaiQRvU6G+3jCXA%20uMKZIfBSAAAAAKkVW5AUAAAAAJgzVZHogQ/2nOukYQ9JpwnYDQAAwPRJ+lyKSbdb02l9YTcAAACp%20BwMfAAAAAICkAAAAAAAkBQAAAAAgKRJFt8qWLvFYuYIuurnI65d6m0iylxpsDJZ+BQAAkH5JwZa3%20osvZDTYOctK2j7SYObZu92LibSL53sFpr9LhKwVisQ8AAADplxS07VvXW7zs2kahfdh1dsDL/Uan%20UVjcXPY2kXTv8KxfWM3hBgEAALA4kkJs+7Irea1/ZvXsl1qkk31cW+TW0dtE8r1EZ/TqOQx7AACA%20EtL1OOJaviv62uuQFMo9cJTlKCaS7iU6Qys0BmzUY7C67TFLBQAAwGTFClt4PfmqYv4lRW61gBIX%20xUTSvdna8ei4ljV+rOR7pwPYEQCQdK/AbFt95/ZYdMAcLR42/5JCbO9o3zq/ksW9FsREMCAAAMyD%20hFLUFsvuQFKo9MHb27pffnh0YE40BOomku3tVoUHSonQgFkBACBMYx+Lo0JdT/CLOpmCKa7Mf25m%20a8ed00wuU9fo6P+x3vQNm8Xc6RYefVQykWxvqTU4K+qbNGErAAAksUXn7ai4hbXlKk2pW5M/5REH%20Z2zZFhY9nqgk58WVVJQo+lRHy9aGjhyt6kIvnOltIsdetr+GygoAMDceAt4Asy3qvgF+vO3LlLFp%20IP49rshMIVF4ITcAAIAUEqgFnZWMkKqK5MQHkgIAAACYYyU0p3oCkgIAAABIEOL8CUgKAAAAIBFt%208wxPj6IntLDPicz8JZtJn56ZyWRwY8BuAAAgRWx6bY1x6L5+0KEH7+MDvU9CPDLECMjM3RtJlxSj%200WSf00hr0wu7AQBSLyZsX5y7QoQWOoQYUzTbaEQBAx8AAADSw0y66W7ugelPtJytCrmC8gcAACA1%20OIdCFtACkBQAAADAvLapbsuGLZTlUzTwMWwWM9VuuL3pp1vN6MhWKae2GWNYSboRAAAASLukIC1m%20rt4Ltzf9EHlQ1jojwmDjIOeQB4PTXkXfq2MsjCLdCAAAAKRZUtAOeLnf6DQKwfcuBlQesKVEs2sb%20hfahVVMMz/qF1Zxdhcg2AgAAAKmWFHTNq9FxLRdm70IgyoPsSl7rnw1tgqNXz9lGOKQbAQAAgFRL%20CuADkQfegoMuX84GOAar2/psC+lGAAAAwB088bEA5Fa9Bn0sq5hnV/K9w4GmlWQbszAlAAAAV+Cl%20WACoJDgdsO/U/ZBfgTgAAAAASQGCk1sttLf1oYvh0YE5U9OkWxWeLCWKQ98t3QgAAAAsnKRY9LdQ%202MjWjjt5fbJl7mBjwB4I5SYqteiTpcZEzE1tX98t3QgAAAC4k9nb2zs5Odnd3U1i5DKZKSx/NelL%20wG4AAMBhVcdI4JEVsuXy8vLi4uLll19+8sknHzx4cOPGDdht0ty7d+/atWuP61y9evUxk6WlJfZp%20Q3gXYkYz15LE9EwAAABzxiSW43Ku+xXiEmIgoWMYSyATtZUbkBQAAACApfEO1wzbzpphILMC0zMB%20AADME6wTz7vyyya2vTNZ5TyBtpqmIoGkAAAAMH/uBPbJmkyGqCpsW5LcDKcJDHwAAACYb3mhsnE6%20kYl9GkTE06dsiqRLCjaJFMBuAAAwiXY3xmY4lmkQoi4J7WiZFUmXFFN4GDKV9xjsBgBYED3Bm+3U%20TJ6IxbUwk+EbzKUAAACQBm0xp81wmoCkAGBxoO9MFRer71bpa2qwziyYXw3BhgbSJAVEbRQ6XbMy%20CKZnArA4ZGvHA624wwVFWeuMRqVulYiK4xoWkwPzg9he8u/ikyDOw6YTq+jTM21zKeYrX1LhpWBd%20Lx3XhT2w6oeXEVhn1dJdFYzqZVcwx8XBXA6utJ4/OLI4KjJaBn/4U/9LpVIJHQIneiAzTMjCSopu%20la6Fpb8pftDol2VOXNJi5uq9BW9AXI1AxIPeWSX22zjImeJhcNqrdPg7+LFsWAohWey6L4M//AX4%20w3xtkBZJ0T1sV7YMn222tlXpnQ4cHfByv9FpFBZbTrgbgYoHtnZ5dm2j0D7sGj3YwmoON0iaya16%203ROjZKCNkhITRMYjJgCkRVKUWkIXmugLe0NI9o9Gx7XFbh29jCCKh+xKXuufDZnO6NVzGPZIMyS3%20mYDsHvY31jCTAgAASSG0jc0i6YnvY5ZZMKTub6IztEKDDSeNBqvbeCYgNf6qXL3XNoYHS62OViaS%20cXsVdw0AIAZS88RHt0o9+wNMWw+M1P2drR2PakJvtnc4IP+HseYe6q9quf4EAIAopOaJDzrBEHoi%20DFQwmPNPqHMivwIrAgAAWERJQfRErp7v4JmE0ORWC+1t3RE+PDowZmp2q8IDpfxhQwDAAsOeGAUg%20xZKCtoKa1i5bX6GAt1CoSDHDRNnacSevT8WkT+MyaVZq0QdKDYtuavsQbABATADgV1L29vZOTk52%20d3cTWYwzU1j+atKXgN0AilD4mGiZ5DykuKCREcWErFRk9P/UCww7UnwM9ZEVsuXy8vLi4uLll19+%208sknHzx4cOPGDdyVk+bevXvXrl17XOfq1auPmSwtLbFPG8K7EDOauZYkXsgNAADAT0+gCwEUwLJh%20AAAAoCdADMBLAQAAwEVMQE8ASAoAAADQE+GIsjK4uBKpFnb5rujLmUJSAAAASIyeWFTnhE0ThCCi%20CLAJmij6BpLCWbzx5BLsBgCYopiYEz3B2n7e3HIpYNsyX738WASKU4VMTZckXVJM4WHIVFYOsBsA%20IN16grWR7IvYZNq2BGpN+bmxOBhmqEKcBoGXAgAAAMREpE78lNv4uKZBOJ0u4VTFlFUOJAUAAEBP%20pG3yBHc2BHVRxChxQgcYi49h+npCw3spAABgQcWEOBMzjZMxz3WiT7cMpydmHk7EQZwFlhTdqri+%20hxys+uFuBLrZukaK20YAAJwTicKtyQzalLLjl3W0OJ77mLlZmC6ZsqpIxUqkdGFzyqDRL0vbPqI5%20cvXeglci7kYYnPYqHf66fWOFMOlGAEB69MQ8OydYS2lrOKVbFHv85wJaHO+TSIKeEG0FSaFGtnZs%20NnjZtY1C+7DrdGGU+41Oo7DYcsLdCMOzfmE1p7IRAJAiPTHn8ObfpgncDpim0AmkZmIPxHnK1OyQ%20qrkUdKHzyrqtP11qkU72cW2xW0dPIwxOe716zjbCId0IAICeSD9RGmCbt2OGgcyEtEgKfeQ/V9ca%20t+ChD2q6s75WaAzYAMdgdbvYHLpsBADMr5iAngCQFKrQ4Q/C1mkOjV8I0x3XssaPlXzvdOCyEQAw%20184J6AkASRGE0noFjR8AADj0REqfFAWQFLHSrWbGjonuYRuTCqMYcHjW12ejSDcCAOZXTwAASeFP%20qTXYODDnEW6vDnR3Pd5C4Qs3kcWAm9q+/viMdCMAAHoCAI9Ct7e3d3Jysru7m8g7IjOF5a9Gqbvf%20YDeQmvzNaJmRlpSSNk+RmaKeyOj/qRcYduRI4JEVsuXy8vLi4uLll19+8sknHzx4cOPGDdyVk+be%20vXvXrl17XOfq1auPmSwtLbFPG8K7EDOauZYk1vgAAIA0OifgnwBTB2t8AAAA9AQAMQAvBQAApEtP%20QEyAGQEvBQAAQE8AEAPwUgAAQCrEBPQEgKTwu1kyyCTYDQAAPeFN6GW6wAJJiik8DJnKfIXdAFgg%20PQHnRHyLbUaUJuIy4qHDiSWQmcgsDHwAAMD8iYmR0IGAPeJCbMujN+HhWvRYApkVmJ4JAABzpic0%206Am9rWXY1AD7Iu6aWp8+lrZ/rodv4KUAAID5ExP6uzMXWk/wptcpBfiWQCoBUzGikyYvhefCHgu+%206gdNvoHMCt0q2yesDC+c4XISAADOiQTglAIpEAfcBxM0LcsCzp+QFOqN5ma957KPtJg5150LQLea%20O9gY6C/THzT6ZUE4GOKhrHX0nRsHOVM8DE57lQ5/Bz+WDQNgpmICa5Q7RMM0W8pwmiCKsjk3CZrA%20cwHnT0gKZUFxkK8U5HIiU+43Oo3C4iqKw3Zliy7QSsjWtiq904G4m4oHtnZ5dm2j0D7UNcXwrI9l%204gGAcyLRqiJco5t8PTG/pENSUEGxsX9rVbav1CKd7OPaIreOxARjLwPRF1atIIqH7Epe658Nmc7o%201XMY9gAgGXoCzglHm53kuC3stIw0SAomKIxeOPA2VbHcb1htRcSD5MCzvlZosLGS0WB12zZWAgCY%20vJjAayc8XRShZxskXE8kWS35Mv9PfDBBcUwaSTR63nSrdARocGwTX7lVyZBQtnY8qvEfK/ne4YD8%20HzYEYLrOCegJT1Uh/Slun7La4DMio0TANpQTcUIGJEVARXF00Ov1cpm68buckbSaYNgs5ur5zujY%20Oc1SFAzUOZFfh/EASIKegJhIgFKZSRM+v+Mmcz/wQbvTBoNGQauQVhN6wkVPuDy2kVsttLf1gQ2q%20z9hMzW5VeKCUCA1j/iYAAHoCgNRKCtdGFHMKuTGIUNC0dtn6lomxiYgq6+T1qZj0UVOmO0ot+kCp%20cfimto+HSAGYvJiAngDzXor39vZOTk52d3cTeYtlprD81Sh1dy/sBlKTvxn2lsiEmGVykQk+eSI5%20lsno/6kXGHbkSOCRFbLl8vLy4uLi5ZdffvLJJx88eHDjxg3clZPm3r17165de1zn6tWrj5ksLS2x%20TxvCuxAzmrmWJF7IDQAAs/ZPwDkBUgEkBQAAzFpMQE+AVICVSAEAAHoCgBiAlwIAAGanJyAmQIqA%20lwIAAKAnAIiBK4m/9TLIJNgNgLSJCegJAEkxfabwMGQq8xV2AwB6AgBICgAASK+egJgAkBQAAAAi%20iQnoCQBJAQAAAHoCqBDXIqJzShqe+KCrVVjXr3A5aIFX/RBs5LSC1IBKVgUAqOgJIiagJxZDT5wL%20iPICkmJuGJz2Kh3+tnjZAlfdaiZX7y1uOe9W6YJgxnKt/fJ4jVEPA/pbFQCgqCfAZNrvBWyzE04K%20Bj6GZ/3C6i2P5jRTbhcancZB+XRRFcVhu7I1Yku+Z2tblfrhgHzxNqCPVQEA/mICemJa2sK5cQEH%20HTysMTWDpEBSkO50r53L1PUfpGNt61CXWqSPTf34Bwt7wxETlER9YdMKUgP6WBUAAD0xW3gbmRr1%204OF0UU/jbK0x/wMfpDutFRrMqz8arG7bvfpANFazWO439mtZPwPCqgBE0ROYPAFCiSQ35iUJ8++l%20yNaORzX+YyXfs3r1wdg/Uc0QPTE4rmX9DViCVQGIoCdAfLi9uI/16d1mQYZrhnmY6XN1qCeKdSUX%20VVIARfdErp7vjI4xfgHA5MQE9MS09ER09ZBWQluDz8ZXt7yT+R/4IH3vsVd+eNavrKPVdNET8vkQ%20UgPCqgBATyRYRmjmMEHs7TEESugcSYWkKLUGGwc54/UJm9q+3m4u+FsobIri6KCnae2y9S0T3ERS%20A0o3AgDc9AQmT8Rp1HldQoiNwnBSo07UcySzt7d3cnKyu7ubzGRMYfmrUeoqAtjt/2fv/H1T2bY7%20PvjYR1aq0/uVjBUhiuhJkZ5w/gFwEb8ilHEqKKE5VawUkbtTBKewBGnslhTXKQ78AfeCrnuEJQ+v%20SJXqKe9Vz/GPQ2bPhmEzPzBmhmF+fD73yBdmmPFmDXh9Z+2114LUXN+cljN9dVzM4hjMTpMn4mOZ%20nPXf+h8Y+cqpwo9lzC1vb2+vr68///zzb3/727/85S+/+c1v+FZum4eHh8PDw8+fPx9Y7O/vf7LY%2029uTPx0otRBztuzYw44A2WVWJJUVPR8PTpCMSdAivQbf2OakZwJkl/537XY6ZSnPh/WEcseNPUJ0%20Y5LpdBrEq0HwS/DuUz+IUgBEHhmo2/1T7PDA5Oqk3lc6q5hP+nX56F/rWwoiTK4um03dJ+soN7sT%203/G/+IxEDsbWE7mp9Q/LaOE7fofTQltELyk2vgRICoCIIwPfmprsuGK0araekDmwokhIT2wsFXSt%20/LXXM1/X/pf2xVjfhqoQv82qZOalKqazhMMd/4vPSKY5bZpbBCewjDqScDXEavcGW8KRHrHC/iuu%20CJICIHI63W9X/Ynp0ttW4bH+t251UdK03DZFxbB5fnJllMv52Saj2v22pSVM+cZtS3skl+I9p6eo%20LSY7tn6X7PBzGCf6KIV6IdaXd3tJfJMhkqkPB3aLBaY+aBVHzYqey53UReyhfzeqnuaXXiFExbCr%20+Pn8cbFzt61l0cZYOyafYg09kZuiJ8L566T+mfK88TWf2ssKzJ8YLZoohVzisfoP/urLF/dLNd0y%20af1wYLc4I6IT06nRa2md5rnXhEb/sVAracOmEpjQC6Wwh2EnbtydUXdkjfgEH/stKwzPeyEpLLBS%20BMiVoqqYW6Et/G4suVQA0dKvn4hZDy1fPq3WtKKIDwzHhuLp+3290Wjftkpap1LvT+aRhGH4ymYg%20BSKCwldMoCeiUhJ+2sL0c/v7rEyMAtPOqphwV57wu1JLJ8GOABEzbFZ0q218qda7LWt5rXb5ONFE%203oRo7dbRRBPYwbGlIToV3Wr1pomi6G1Mt4PgBHoiKoVhrx11xEFN3/bHP/7x5eXlbY5dEUv9SQB1%20TTurikFqCKnbDg4ObBmhzSuSORaRau+t/kBSAERLuT2dLouD8tfq5fnV6aCRV/cpDydXJ93q7QDb%20Ra4ncFFbxjGdqvassqMUti+UYkL+tGtuygdasP6ZWZMU2jzv1a6MKbMoZMVMtT6mfS3sB7aRPbVF%20OiY+7Elh/5V2Ge/6MStxMOvv4btbsd+iQoLvURAW+cbgVjv3M3K/fq7dOnvSw9bEBHoiWhnhrqek%20xicct9HyJ4SLWnvbb9Wou+aVZ3ZdGqIU/bo+vphOZf9MebPn9pginFzL6DfYVAcVrWdZSDQlrfeX%20J88Xu629x3KvMR7WesyyR6kq2r5hDXrSRxycQE9sR0l43jS7e2qr0x92lN6+LTYfy/iEfEDa+PqW%20d9fBVJfVuJt3qCLPEatwRCnsX5ECSdG/68xnmcvtaVnzkhOlVq/VrYyz663m37X8abXUvOu3y4qd%20hHiQvcuVvZPHUanwlS8jICZgW3pCU2YrHLLAEatwHCJdoFQV7rAHrPykO8ts25LCvbjDIR1skWfb%202b0YJ/kTH5bve6z7TnyI2enpoKHzWbKs9b071w9LBpyZJ39c1EZWNQRTZwybOtMegJ6AoGLC4ekd%20yRO2o3r3xtpxS23H6tWn8C4Oizms6tATjmvnkBduJZeKXIphc3xmvS2j2j2npaKfmhDJEXpTa31d%20juR4rk40dYZYdiA/LUbhkk6VkFIxoWZOoCe2H5xQ73TVyQ71laqecFTE8Su+547eg3siwy8gsTo9%20wlMRqldwKW6Rho9tae4lzZvsYfc7zs+TWRUCV7sIzxpK4sV2Toowq1o4AYDgBAQJV6jrOxwRCzU9%20Qi7lcPQmzcEHcWsLvzJW6gP1ujiW6bovpb0x+bkUIlb/yNd1bcpntcqdqQ/yigGH8w0iOFE8Y2kB%20ZEdPICYiCVF4eiDVOdkLQd0ey7F20XUl6Q/w0c/+++UlHOEHW9W5n6ob0xGlKJ8V54WLRVrAcrcE%200KwM1UVgon/XsVMn7DBF59Lav8i0WDpkIsosseYgLE+2pX/woUuAntidnvCr8W/fCmuuSXoSMCML%20IzkunBpPkhfI8wrar0nDItJyu3c3U1xi2aN1t311IhaWsgRyZiDj8UTPWfUarcKMYkZjYaJ8Y9Ab%2056z9YmfZ8xAsGeadMcThEuCcdiEyVkx5OKpd+UUj7EWM7ttljLzC+H4V0N0zSivO4M6fcFTByt3c%203Nzf319fX8czPrNtTRrBr8BuwEdo85GI9p/TsN5VQDER5mBiZZnAIzH/cyfxrVYSnjjqTPzyyy+l%20Usk9J+I+5wotAn7izDEDYpfLdKdiaEq1TfuxWoXTPpCC3ACQpfgEjieqgITmNf3hJyNk9SptHl23%20H8vy2/YZPAUKkiIUSeGXA2tul1VA1MxN97WW25EUAJANMYGeiIHCcGA37JCPHbEKc8vLy8uaSgJJ%20sZmk0HzmQeywhLwinz59UquX2vVMVbMTpQAA9ARsXU+sCE68vr7aj21VYT99fn7WfKZRNJ8kUFhT%20UqxQFdq8sKaNVBXyxaqqcICkAIC06wmcza6DE+5dMgjxOufHHDVK8WzxbkwCMRFQWNiovVQcNS32%209/dVPSejF+5TISkAAD0B4SsJbeWUhwxCmPzNf/yv/8n+Vvvv2eXEsDu5mJr2Zv0z+b/7f/wrIRr2%2099W+bo4rvh/7Pwt8krAbAHoiwQrDb3GHjFL8z8VfY6VE8Ic//MGOW8gr6OjflgBJEcFiyNTfKGA3%20yKKYQE/E70+QZ3omtkoKMtNFzk/ZC0rV2RDSMwEAPQFbVxWOUpg/FDBUUpCBJTu7wrEAh0WkAJBG%20PYGYiJOqcJfIVOc+kBQJwl7xa184VVjM0jYxEwCgJ2Db2sKhKtSOHpAIfizj2Zs08ZJicnXiqB5a%207/u9zntPJujXV5hn2YazF3huBEBPQEA9odEGLOGSwq9tmKizmfQ3mW8MFm+rV9NKra9lL4eqN4eZ%20/SCY6qCi9SwLGa1RxSUPjPGw1rONOOu15rkRAD0Ba2oIh55QtzDxkdDLqkoKh7aQr0lTLkW/Xhm1%20jHbeJScqnVKr1+pWxhn9IAjZNX94Wi017/rtsiIRREv4wlenDPHaCBBLMYGeSIi28GtrDpHx6+9/%20v9mBv/vpJ1VMyEUf7quZnlyKydVlp3bRyDu3l9vm2xw0dD5LlpW+d4e1s7IzSDFs6o4ZDs+NAOgJ%20WEtDOJZ4OF6DpEhBlMLzIqZGUvS/NTWvOQ9YaK6TXE53W2nyONJKLUN+MIzC5cnVxGcjQEzEhDrZ%20gU9KiDdyuB8kRaIvot/VTIuk6N91StXTPBfdn1nWycVYX9YHYvtgHt3JHxeHY8NnIwDBCdg0brFh%20lEJNFN/w1qZfz3FTFAKe8Yl0RilQFGtTPquhD4DgBMRCYbwjKUw9oXerxjz/vsifrhhFKTyvYzok%20hcglRFGsp9GF+irofntNS1qpFp4bAQhOQDBXpC2nWbwToDhvFnt2uFQrt1l6FrvrmLZFpBbGeOjS%20tuQULgITbaPanadaXhYM6ytqm2hp77l2a31pPTcC7FZPEJzIFF7J5PZtUL1+MkscX8yMzP/mu7cs%20DiTbfLukYxFpuT1d/twpyyZ9t2QJ8e4bvgbx2OuzESBiMTElOJFl5hFVMQEiSguVWvKOSBuOCsZ0%20mhcqwZoZGVgPT64m5Ybh2mILDas+D7dHLn7300+atb7UfrDxqSjIDQDxDk6gJzLLPO/LSi7v1RSt%20MZvpFmvT5svdKx3xcvcWi+65EBqEWz2RGiK4nkBSAECs9YQIU6Anskn+uKiNHt9fqeEu8+veIiIc%205KW/qyoC6gkkBQDEOD6BmMg05a8tramvzH0QsqNzqa4QdW8RlKq3g55WYS2pHzJEIX8iKQAgLWIC%20PQG2PGgMpqYQmOVaVkatW1d95HLbELpDScd0b1m8VCSdn1xhWE89oU5/bP4Nvrm5ub+/v76+juWf%20l9y2a6tF8CuwG/AR+lhwQtETOTH1EZdPGoPxG4n5n9oezNHE3NER++3t7fX19eXl5fn5+enpqVAo%208I2LjCA9Pn799dfDw8PPFgcHB5/m7O3tyZ8mcV/xkVP/ygB2gxTHJwhOACScuEuKCO62U3ldsRsk%20T0ygJwASDrkUAICeAIAQ2McEAICYAIDgEKUAAPQEACApJL4V3R2voba7nxWs0vfLvYPVlsKUxYcw%20xQQ9OwBSSgomPhY13kUd+JMrY+Baumx6zEpH02qZFxTnzaHbCovS98KA9WNZb84YD2u9KfVrgeAE%20QGoIXswq7VEKpbF5vnFRc9VcFTfglVGr1yohKLrFmocVhHiQ7f7yp9VS564/N+tSD3SAsPQEwQmA%20lJJ8SZE/Lg673yfSaV52XH6w3J5Op4NG1r2jEBTV268Fb002N9qiqL6pM4ZeBegANhITlJ0AQFIk%20AVMzXIwt5ycmQNyzHjAXFN6mMcWDp84QfYRl+TujcElpfAigJ2zQEwCpJvm5FGL+X+RSTPNykqNO%20AoC3oBiYBvLSBXrBYzJE1NZv2E+Oi8M7w/w/poRN9QRiAnz485//jBFSQ/KjFOZN9jyXQiuf1dZq%20hpsxRfG9O5/E0JtDrVPJnTga99kJKCI4UTxGOgB6AgCyKCnMm+x5LoXWv+vgET0jDjOMVkmr9abL%20s0OmBWe9gIX4kJma/bqiO0yhMcvfBFhXTKAnAJAUiXSYveIskbAyahnWrAdVKN5lYaKFBcUMkpw1%20mrUBlpxrt8wlwceDE+gJgKx9+2luTnNz7AahXd+wgxP0E4//YAI2Nz86OuIblwgeHh7ebW5OQW4A%20CDs+gdwEyCRICgBATwBkkS9fvoR7QjqRAkBIYgI9AQnxoH/60592PozdjkEOI/QxICkAAD0BmdAT%20tgfdhjf96DB2OIbtySwmPgAgsJ6gbQckR08EdL2eT9fHHIYdpQh93mGzkYRI3KMUOfUeCLAbxFNP%20AER1Gx2KOPjoGeQhYcUV7FMFOZuqBoKcJ9xISdwlRQSLIVP5JcRugJ6ANEUXgt9Pbxzht8dgS4GA%202kKOJMhJHJM4kUmrxEsKAEBPQMb1hOrOg/vOj57H8eLgeiLclI5QbIKkAIDdiQn0BOxaZGR5/Goa%20RKwMgqQAAPQEJIM4uM+YLNOIp7RKxYoP0a5C4t/Xg64f/lZY2E+xoedGyK6YYHEH7NqJYgS3noib%20WVIgKfp1vVnsyT6bo8pS3+7FS6y23giKc08rGONhrWeX5J91CPPcCAQnsAdEGQ/4Mkeuj5CPN3DA%209lHxub/feCQOswSxLZLC7ScfR6XWV8vj5RsXNbvRuSInRIfSXquEoOgWayVvCxb0dTYCwQmAqFWF%20utgyyMLLgD44FDkSihpwmyU+qiL9pa7KbfMme9DIuncUgqJ6+7XgHaQYNnXHDIfnRkgbQnDncp6h%20PYITkGJpkvGRbG+6JPmSIn9cHDa/9aXbvOzw1fEXFI28577HkVZqGXKCwyhcWv7FcyOkTlBUNDG5%20dTE+972+BCcAFDWQmjcSPFLiSQpWfJTbRutEF7dUJTG9ccnn3ltQDExB4eU38o3BtKEKtDvDNKrX%20xjymTNfn4nFUO2uLr9BZ8fL7pLEsOXPuWMWOyGkxqqvGYNABmCXdkkJ1iv16s3iG53N4ju/d4XCo%2055qz55XcqGUMGpgp6xjjoXbsF5sgMgEAHyYVKz7mc8Fi4qN2xtoED8U1w2iVtFpvuqQnFvab37iW%20fTZCutALJYwAAEgKlXK7V5SJhHq3asjVjlSheBfbROW2Ue3OEzHPtVvLgp4bIWVa87jYuRMfgf7d%20qHpK1AoAgpK7ubm5v7+/vr6O4+ByuQjaX6UvxovdYE369VylIxJxmQiDUJB/FqYKP5Yxt7y9vb2+%20vr68vDw/Pz89PR0dHWG3RPDw8HB4ePjZ4uDg4NOcvb09+VOAmQAyi7XEeuqpJ1atL42YWSXXHY5F%20jmAR+NypcZyD2Z19pBkWv9h8bvqUv2N5WIZBUgCAh7N4f31pZGP5rt36Kp9oyDcGxqJY3o6NszyY%203dlncvV4Jn5vr9i07GCZ5cePH//88E//jqhAUgAAzLzFPCO3fFZ01qON/J78stnU45QaFSPj7NQ+%20+UbDSrEqn9WWzfL3xf/soSmQFAAAFmJ9aUyQC5aMwmVsVEWMjBML+/TvtItGPmZmASQFAMSE2K0v%20zTduW9rjBOPEzj5i+sNaEMaaZEiApMhtmbReV+wGgTxU/NaXGmPtOI9x4mWfydXJuXZa1vpXV5OF%20Wf5r9A+VmC4g2qCRKW/hQ8S9emYEiyFT6RKwGwSi3O7diYss1pfu1DuYTktvioh6rTdt724Y/bo1%20ipOCWG67a+Oog9F2Zx+5AlnTRGFe87fLz8zenlb6t8ef83HsDGO3tIhPf/MNiPlboC4FdSmwGwCE%20eTMTYl0KVQdoATpTqD440ZLC8x1FYxPqUgAAQLK9pt0zUz7e7XhCGYB9kqTPwrhBUgAAQByx75tD%20CSp8mRN8PKHEBkIJM4Qo3TIsKZwtPGZF3FaVj8t2149Zeb0Zbjt4GPC9QwAAkoEd5JDEZ0jpG0AC%20JYXp/mQ+0sL3yVp2U9HpytP3OQ/JHMZ4WOvZk5uOHmDeBlx5CABAguVF0qMCMZkJSrykEHfTlVGr%20p5ajFb5Ptt7On1ZLchnTO4dkLkjxOCoV9FV6w2XA1YcAAEStAOKQVhnKAGIlBcJN7EiYpLC6HA0a%20uo+7zB8XtZGj3ovHIVkMUgybus8chrcBVx4CAJBtoRNQIQVRFaq0CngeNdoRilpKfnomZWDXCVKI%20JfRyCsMoXC6nnHgacPUhAADJiQp4OuONowthed/N1ECIoRo1sySsc+4n/hNHGdh3EV0AGvaT4+Lw%20zjD/v9KAqw8BAIg8MLCx27Odd3DHGfAMjsNDlCYfOtX2ppCSH6UQ/m5sLO6ti8d4PgwIAOBzR570%20NxK60EFSqJh32Z1LKy4/+d6dJxqCQr+urA61WxCvNOA7hwBkkMXC6np/vvCaPKOdulKImzFTICny%20jUGvaGUS6t2qIVc7ZrsKhZNyW6wOnf0xPNduLRstTORlQM9DADKNmA7s1cwHIp+5/LXXM1heDbAE%20PT7o8YHdANbH6pZVKrUuBg3khIvQe3xAfKDHBwBAuJTbvZo2HHYfWQQF4ARJAQDwAfqPhVpJGza/%20MbUKgKQAANiQSb+vNxrt21ZJ61TqfSIVAEgKAICPIhZ56JXK+dVkViCuU9EpAgegsI8JAADWQBT3%20b88eKw8BICmSIpfLcZGwGwAAICmCEsFiyFReV+wGAAARQy4FAACkmfh0EkdSAAAApERbIC+2CumZ%20AACQZjZrIw4bkMwohWcLj9V9PbLd9WPR78ir05Hn3tWHAAAkTljsvB/pFy8CnipWRk5glMIqsa9p%20tfc3rrk3AxjjYa3n2+HIc+/qQwAAovHBtiCQTzfQBJsdtc54NhuGfBBkVOqxAc/jUF3ZilKIWjOV%20UavXKr23cc29GQlSPI5E78SP7F19CABAdKGFcIMEQQ63Qx0bnCcsPRGiNdTITSjjSZikELVmpoOG%20/v7GNfdmJkgxbOp+cxiee1cfAgAQqecLcjsuXXjAOYI4iIAQR7Klt8OKj2wEKbRSy5Ctho3C5XIN%20Yc+9qw8BAEiaKIlDLkXqYcVHBsg3BtOG/eS4OLwzzP+v3FteeQgAQEJuzeMTXXAPJvjYYvXukBQA%20ABBrJRFDxxl8PBunU9ipGPZ54vB2bJj4yAD9em4xcTF5HNXOyu/tXX0IAEBUBJytsBMpAuZSqOfZ%20eDzqgQHfVIhmCVGupVRSZLsKhZNy26h256mW59qttTLUNpHnXs+NAACR64mwREnwglcpy8bYxtvJ%203dzc3N/fX19fx/ANm94sgvZX2/4V2A0AMoL8szBV+LGMueXt7e319fXl5eX5+fnp6eno6CiCgUkx%20QW5mEB4eHg4PDz9bHBwcfJqzt7cnf5qQSwEAACkHMREN5FIAAAAAkgIAAACQFAAAAICkAAAAAFgQ%209/TMXC7HRcJuAACApAhKBIshU3ldsRsAAEQMEx8AAACApAAAAAAkBQAAACApdoqjhYd4OsO3sUfW%20u37YNlp0A1Po1107FaOusisAQKYI2CgESREzTPenN4fqc71bNaxq8kZrVPFymc5DModpo/GFZaJe%20sXnusJApHipaz7JftavPxYMxHtZ6dp1+2oYBAEC6JIW4m66MWr1WabHprlO7aOStx/nGRW04Nt47%20JHuKwrTRrDt5uT0dzKw1R4gHuTd/Wi117ixNMXkclQo6XxAAgHBwN1hPX8AjYZLCdIhT0yXqy5sW%20t9Cm73Q6Qo9DsoYlDx7rPhMfqnjIHxe10eNE6oxhU2faAwAgHD3haLAut2xwHvfj+EiTNKVnigD+%20qHXruAcHwbA5PpvO5jYcEx+mePBUIVqpJaeTpkbh0jMDAwAgopt7m4DhgSDed+MBaOG1QlVFSUCr%20rniKpBDpEt2qMUBQeFJqfS3P4xDD7ndVH+gFjymhfGOwmCARxzimkwAAory5l950M8cciju3gwqh%20OPXNQhRhncp9SFhKJRWSQixOEAmG6AlvxHTGyr22YBDBieIxVgSAeCA9X0AHHNx/O84Q0AGHoic2%20Pol6YOgzJsmXFKae0JvFHmsSVlA+Kza/9eeioVQ9XRINeqHUubQmNibfu7NMzX5dSbowj5lndwIA%20QGwIMdqBpNBmXlDTOpXlEgpZr0Lh0hTtniZNpI8vZDBnYaJ8Y9ArWqmYYupISrNyWywonVn0XLtF%20sAEApE0BhE7u5ubm/v7++vo6joPL5SJof7XtX4HdACAjyD8LU4Ufy5hb3t7eXl9fX15enp+fn56e%20jo6Otu2G7TMEOZU8Vv0Z8CQB35F8sNmaEXXiY33LPDw8HB4efrY4ODj4NGdvb0/+NNnnOwAAACnG%20Tn0I4sjtkwRPYgguTYK8FzURJBTLqCApAAAg1oIgJicJcp5wEzxDfBfhTsQgKQAAAKIWRqlMqqAT%20KQAAQLIFCpICAAAA0kPcJz5yuRwXCbsBAOycdK//zISkiGAxZCqvK3YDAICIYeIDAAAAkBQAAACA%20pAAAAAAkxU5xtPDo19X+HmsdkjnE+7dYdANz71Nt6LkRAAAgRZLCFBB6c6j6Q9HYXGC0RhVP3+c4%20JHv06/r4wrJRr9g8d4oKYzys9eyS/LMOYZ4bAQAAUiIpRDyiMmr1WiV7U74xmDu8/Gm11Lnrv3tI%209hTFXWfenbzcnspOpEqQ4nFUKujOyIXXRgAAgLRICtMhTk2X6OPqRKPzuetc85BMYMmDx7rfxIcx%20Hg6bumOGw3MjAABAWiSFv9cUM/96U2t9JULvxbA5PpOTQ9WuY+LDFBxaqWXICQ6jcGlpDs+NAAC7%20IEiHrS8uQjnJxqcK+I5CGUnobyd1kkJMf5hcjHWcnxeludbKHxeH3e8Th+nsuRCxe2z4bAQASBp2%20P3GbDXyn+yS7qqQZ1kjcZwjlHaVsEWn5rIbzc+ut4yJGAIDEhijCbQUe1tkCNjoP9x0Feb2j8Xq2%20JUW/rqQH9O86JBV6Ka1i89tsbejjqFQ9zfsZ0NxtZaN4bgQAAEizpCi3jWp3nkd4WTCscH3Wq1C4%20jdTTKpaF9PGFnNCwTbRkwHPt1lo+47kRAGAXIYoQQwvh3pTv/B2FcoYQrZG7ubm5v7+/vr6O4YfJ%209GYRtL/a9q/AbgCQEeSfhanCj2XMLW9vb6+vry8vL8/Pz09PT0dHR2s6vI2dn9vvbnCesFxv8Hfk%20eDtBRvWhATw8PBweHn62ODg4+DRnb29P/jT5fwEGAL5O27VVED4jAAAAAElFTkSuQmCC" height="623" width="710" overflow="visible"> </image>
            </svg>
          </div>
        </div>
        <div class="fig"><span class="labelfig">FIGURA 2.&nbsp; </span><span class="textfig">Introducción de los datos de entrada del programa, haciendo variar el coeficiente X.</span></div>
        <div id="f3" class="fig">
          <div class="zoom">
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SyV8Sasc%2097eHYjcPR+XlwwIKCFB0CZx1SpM79cjeGJqDOE8QLzCnGmgPaY6ariDNOs2RmtR66boKGB7ZTGwP%20Uj91o4EFah7qqUFNg3Zm6nUInYcMAGfkDGtBhbO+zV3xvUuAIi0LdQm8ESGbQOSFiPj2EDgbAFgR%20empK6sUIgI+yeb41ekslZSH3zPL60vlsB5wKAPlgPp/X6/UrHgiFKxkSteb2vCFRl8ZwKpoptn6R%20GtoUU/QPAJBAyB+NoTW0OWqGF6vIAy/iPnn5yqxjrPs4gABwXhgIBQCAU8FAKAAAABIIAACABAIA%20ACCBAAAAF+CXk+ZeKpXO8B1Y0XMpzmNfGg8A5FICz9DFFKAXRkKQcAC4CAyEAgAAEggAAIAEAgAA%20IIHnYdaxg8Al7CWpYsYRQvAqiIYHjBhe22B21/lSvbxoPACQRQm0N0i2guW0xoa2p5I9nopDAFdB%20IDzgtC1qg4fG/gZjbzNqXVJ1YxDKtF7VicO0SrNZNwAggWfGXC+d6NkqnuhoMos+8DdXg+ku2Bxc%20D7OONL0XfzehwcwmIzcGe2O4XViXbN5WrnyqSBbL8SsaCADZkkDVT7nRs8s3VbF6C/ZTskPbyi6N%20+NrXx+b5cdTuhwRQ32CsxLf94+kAAJmSQPlMjx1A5wI+9URoDDSpwSx767utMzxqD4RKgVz2nmau%20mlKjAJA5CTQqjHCCTgEno1rrczl1g9lNGSrls8c8G0M1B6gcw3vRZyQdALIngarDWpv235u3laje%20lLELxCqgvsGoEVFt63KW1iy6Yr2kaQFA1iRQPdWPHq2Bq83r2F3oAFeOmtzTKmBMg2ncVZ0xT9+l%20s447L2hNK9K0ACBzEigf1KfVnlEqlYxxyxw27B6LtwCvm8iMn9ckdA1GDXpOhTXmWTLWfXtFqEqz%20TwycCQBgUzrpNsey6znDNtls9n+x1pPzyqfxAJya+Xxer9fxAgEAAJBAAAAAJBAAAAAJBAAAOCsn%20jxpPYO5ig30BAAmM5QwrQrHiBcn7ilAsCHDNMBAKAABIIAAAABIIAACABJ6R5E3R2DKtiCirBpE2%201iYmXxJJDzUVWg8AZFkCZ52S0Vu+7yjkFjeQg8W0bQc80iYmXyLsWPLT3YHAfqCb53taDwBkVAKl%20wJWaq8FUH9At+SgUhVlHWvklFCJem6g96o8lH/Y078fVNq0HALIpgY2hFdDNeM9RKAZWMKN+SOu0%20iTFHpRO4tINCBIdBlQC2Xh4qVDEAZFMCARfwqScCw52xiTFHVezc2sC0R0HNyuMuTKASwC6RcgFA%20xy9UAWRAAVWEeLOcIjHuqJoh7O4+3FSXExVX3hLAhTxpQx0DABIIxVRALSqm/HJplHrO52ZpNTAX%20uIQA4MJAKFwctZKl9bmcIjH+6KxTcsY+7aPtu8DKUnNQE+3pFv0DgDxIIO9xXRHmepkiMdAkIkcb%20Q7M1dlfD3IuXYYN6BYB9lE66zbHsjc6wTXaud2rOd+vJeeXTeABOzXw+r9freIEAUBg2Xz+F3j2x%20EkqfvlqD0epd3t2HyEcAJBAA8kv5y3fz+db7PPtX/KPmXL9/KVs7Fgi1T89fP/5Uqhf6CIAEAkCR%20fMK/u13DdQo3P/9Ti5GEaNz9Pv53E/rov64kSvxb+H+PaGgkEAAy6ROqVbe//W2poPlj4T8Y+iiC%20Gsi/xf/3eIY+RYxr3gsEgOMI4T/PHenm/fHbrT/ZCH4MkZHlSLJ33YqsLIwqWGHm8/lRrFwSJ/ED%20T+4Flk4MPc+FfyF5BvMdF/OH+LUsyr/+PpqoMdHZ5L/WH+XQR2oJMsXJvcAzvBSBFS9I3l+KwILv%20Y9YxugshPv1mfv8ivn6yPqjNB4ZCvaM5naiqvX02v0vJKwc/AmSqE+C9QLjayqfxUP9OSRgIPVlh%20jvVeoD0QevQGw3IYAAC4UpBAAABAAi+I2v4xGuw0eg67hhYXvX2DqV47SWgJ2oxoPQCQUQmcdYxx%20y3Q29F81vQ3//aeUjN4ScxWVGPtunu99qV47iWsmkUuSEgEAMiCBs8mo3XeC2JS7/fZybYa7x1Jz%20NZgOapiroPKnt6+K+F5t71J98ZF0zUR3SUIiAEAmJLAx3HqRbVQk1IoRPr7dLroGxiomMfbdWBHf%20Hyq7BBUKfvy6sY89RpqJ7pLYRAAARaZ2h9k830p3wBzy8tDVYwvXoiyeA1opOvarfDVN9HfdJfpE%20AIDMeIGu/9cpqake4nqDI1yhlqBWtDxW7Dnj/toIrW6JuUSTCACQLS9Q9m5GrzrdLgj1DbI5vI6X%20y6VR6jmfm6WV9Ppu1sta68WWs8ZdWzy+bUSjnHTJi9DlgyICQIa8QFf/hugfWJS7i62DOaipbbeU%20bhmVmjsXqKaMRfWmvOcSfT4AkGXsyEjXI4Hq+V2IUdPbvFiNcPEeF0SFcVrtGVYTsaaMG4J2AoD4%20feye7BEKV1v5NB7q3ykJe4SerDBp9wj1i5+uVZxoj1DiBQIAwKX9v3jxOynsEQoAANeof3iBAABw%20afG7kP7hBQIAwJXqH14gAABco/idSQJLZ1/kCudtzNgXAHKpf+eQwDO8FEGjuiB5fykCCwJcp/id%20SQIBAADxy6D+IYEAAHAusjdoxIpQAAA4jfPnf+cvk5Mm2ZBAFTjc2x9UD7tBFgBlxBhLh+zrnZm6%20Segz36XePm8wAMAZ9S/Dzl+WJFAFyhVTZz//VVPb46lggr0lrSrfzDoqIuTO0j5NCttXnqmCh0RP%20jG8S+sxl6rpvJU6rvXtEEODszl/G2Z6Sg/N3YtoEmLaFChM+1Rx6zy3gUvaVhvQZcPdJY1/ZDGoD%200zvR+xDbJPSZB1NpPLluPyctyTZDLSHfhRHC+9fi27dvxyrJKRpMtuYCVeCk9l0obmBjKMu56Bo8%20XOUcaUgvJuRsMqpVjHfaV3OJNvPN26pWeeswEApw3sHPrM78ZXIgdDccWioZPTF4IHJu4VFj36vB%20S2z82vJNddl7mtmnPo4+kvmyt76zPcvWmIFQgPPoX37IjAQ6Eb77a4On9WKjJvHGLTMxgHtjqObz%20lO92L/qD2gcyr7nPVEpW3aDzAHBc8cun/onsvRTRuGsv1yZtqrjuX0mtfUrUP/8jkTxTrJfVm/K7%20MpeyR50DnMf5y6H+ZUMC5YO75/h5U0RQQP2z1nkOGwe0CTUQGpkeTp15467qDKha84Ktz2XMAHAC%20/cvP5F/2JLAxNFtjw3mh67FiD2LxFmDxFPB1vBRi1CyV9r8E2hhOqz2rTahhTVvWEptEXOYyI2En%20Guv+ft8TAFKLX24HPwPf46TbHMue5wzbZOd6p+ac/wryXfk0HurfKYnsCUVWWkIOCnPI4Od8Pq/X%2060cpifzn6A2GPUIBAOAQ/y//zt8O9ggFAIBr1D+8QAAAOET8CqR/eIEAAHCl+ocXCAAA6fSviGvH%20fjl97ZVoQoX+dWBfgML+vLcFdf7OJ4FneCmChnpB8v5SBBYE2OP8FVf/BAOhAAAQJ37WW4FFfneW%205TAAcCibr58C2/vMrIhUn75u0nwEnD8kEADyS/nLd/P51hNAtT35dvvXjz+VzCV/hCyLX/73/My1%20BCbvAsmuoQVwHlRUyPAGoV6iz77axDRHQ+1Ee0c4rlV//mfvZN64+3387yb5Y7jXdfrdC/+bnZJc%20qjChwc8jFuZYX6f4Erh5vu8tY46pMHCxByEnzDpq02s7gO1g1bRjQXiJXppKVGEfgomafMJHw+1E%20e0c4MuaPRfqPIbaOu3Hhf7NTkssUpiT8zt9xC3Osr1N0CZQCOK62a3r5KzVXg+khkVMhiwo4GbX7%20TrCGcrdvB4b0xTDapVmJTqhbKzEY6lZ7ibadaO8Ix8b47Tb9R8j04Of1kREJVALYenmo6I41hlbk%20VIII5h1pSC+anxsY0hfMXYUGTBMsMuYSTTvR3hGOTfnX30eTmVXF/7X+KCd/pLqypX9CXLP+iYy8%20FGEL4KIsnmmUV8Hm+Vb6a+awbMuU6Ngv6NUGdrBIS+SaT7Ou1C8lckIMwloaueSAO8IxXPqO0V0I%208ek38/uXcmM4nSh73D6b32UNlxM/Qtb077rjhWXAC7QFkGim19N5WnFwHeVSy1UeK/Z0XX9t7CLd%20qqk7tYblXvTDI+D6S1LfEY7k0iuk/vk+up/2fAT0Dwn0dWiv4+XSiRDeW6rA3yxaKLL7V1Ir5D01%20MtdLd2JPNO7aYvVmG7/cXVh97KIr1svqjb/zjLsk5R0Brlz80L9MSaDb11mL9mqiTW9VYP2z1nl6%2003MSo1LbrXaZTUbCVjvptzkPQmog1F5Tv+eS1HcEwPlD/7IjgfEP77zHVSwFlO6+UF5+yf+innwC%20mlbtQYCSNVtnqVVj6CaqEUw7bdck9JekviMAzh/6t6uYk25zLDudM2yTvcWcF/tZlfK+TTaNh/oX%201rvb2dkJ8/iF+YDz9/HCzOfzer1+lGqR/xy9wbBNNgBAcZ2/94rflcAeoQAA6N+VghcIAID44QUC%20AAD6hxcIAAA51j/ELyMSWCqVqOVC/+KwLwDOHxIYwxleisCKFyTvL0VgQUD/kEAAAED8rg6WwwAA%20oH94gQAAgPjhBZ4Ztfvj3n0c2TW0AKjI7lEr7+zvjxHinpoUNyTYJrxm5MtcmwiA/kF2JNBcL9tT%20N1yEdlt/FfGtt8RcuUaFrRVTJybIqulK0qxjrPtW6rTau3fjQ7inmq2xEftQdO9rEzIbFRTCydwR%20Tpk4bpmhRIBC6B+7XRdFAjdvq1rFSPQcmqvBNBw5FXKGCovlPN+UP7dqo4mlbLPJLhhSY+gGylIP%20RXai78yIAI6r7Zq/EQ0e7Eu6/bYdTUklOpEFrcS1iRUg1+LHa39FlEDZ3zkxc7XDVVbI6UXXwFgF%20cghfx47GWc8/b6FBT/9DUfmmqgmKqwSw9fJQ2SO6N1U3sqCKO5j0oAWQE+cP/SuaBMr+TtQGphM1%20t/LIcFWx1U9Nzhk94bhskmVvfbd1Bj3tgVD5ULQnDyWAgcjKSu16TzNX7bzHp/56F3fw+mIxe3Ov%204afLzddP8rP8r3fQObnzfzufvvITzKj+MfhZQAlU42O7zkn1ZAxXFRllbolUJvdZxx3A9Jw2o1I7%20TAAttVPTfaoPvxd9Z9Bcye1jxX66UlJ4VStilLw1R7tJ9ml71Cw52iYP/Sn+GTZE+ct3eUCm3P5m%20iMbDdCrravi/w79+GKhgNvUPCiiBcI007uypOTXOGZVJ34OQGiSo3vj0Tg2iOgPnaomU7NgdLXXE%20VT5PifXSukR6k+5coLqhZkC1wA7gU3chbp93vnbj4flWLLrKUZ49jVv/fCnvnh2kCC66skL//GmU%203ceJ1viJFbRZED/0r/gSOOv4Fr7LDs9dHAFF65T9hp5NnKm5xl3VGcD0rV6RbuDo0TrXmzUMuZH2%20Ms+akG6ONYbg5a4GQu1LZDbuXKC6YVBKC+4D/vxP/vf3X70vXP71d/nf/35uZpP/Wn+UAw607Qn6%20UuXJ2kVIcAHnD/0ruARaj5zuaph78WItGuQtwAI6fn5DP1bcqTnZAQtrALNkrPtOmpS5adXy9NQc%20nr2MdE+TkNlUe7tpv2EjmI21qNgcXs/D1U7wEkTRezj5Kdqui+hg/HZLi82C/jH5d2q2p+TU+Z/n%20FlDUyi904zGflYj55gKVo/dsWn/5XsNVn9XH6OmBkwpe/2IrstMovX8LUTPfvn07VklO0WCYCwQo%20ph/45buUtVHTcbubI6l/39UMYOOu7XqH1iLQ5kh9NH8sZIK7ZEa6jExIMPh5FVV+0mA38vd1hmBJ%20W9rKxX6w+a78q2g8UuaaI8u/240D2ytCv3+Jmxndd7x49V+SPaHYXrw5up2yuHxhjlcz8/m8Xq8f%20pSTyn6M3GLxAgELTGFqDoLY7aE+mSgfxH/Fn3MTqrHMW/QO9/8cDPV4gD/J4UZSf9nMtXmBk8DMT%20LileIAAAnFn/4Mz8cnoTl6jlYj/IUwkAH9I/xK/AEniGgVCseEHyPhCKBQHn75phIBQAAP3DCwQA%20AMQPCQSAgnS1x4WOG/0rFhkZCLWCyPmDpupPYdfQYhC0pRfULmLfZKOHju4akeaSa2o9THBm0CLs%20+YkEJjDrGOu+vTNhtXevE0HZS6rAOFAMAbz3bCm1qSmmTtyHVdMvU8lGDx+VjWjcMt18go9SgTsW%20HruTPdG/gPOHBB5dAScjdz/CxnAbCe2tnITmajAd1DBXMQRwXG3vbKlCHzkbd5U/t2puhJ5ko2uO%20eoGWZJb9tj/ucuiOADh/kCEJVJ1X5a0TOxAqZVGFQTUwVkEEsPXyUNEe84UGTDa65ugu4rwdL9CO%20RbjvjgA4f0hgBlj21nf2WFhrfP+8wSyFFsBuWXPgVsWAF4OHd0cnkLLYX+/iBbpjCbF3BMD5g6xI%20YM3t+nzP8nA1AriLBC817PadT0BKRB8r1lygJYXWpCICCDh/kHUJlLKHHa5BAV/Hy6UT1723VJEL%20InLXuAtM4h2CuV66c4EqG7F626S5IxzLul8/qXq2gg26i3ydD5GPOH+ABAY7vmrvyV4F4VvUAAXD%208fTsNZs1Fb9OjVbK3tHTpdnEN4l3GEalths/kNmI6k055o5wAmb/in9UPVsxlmYde5HvXz/+VKoX%20+ojzB0hgWAOHU2EHtzbWfbuX4i3AK6ExNFtjw3mf77FixotUcpOQcjet2h6fWixqDgl5fk4X8O9u%2013Cts4s437j7ffzvJvQxrB2O93Thfz9SEn+oW/XvRQuTqZo57tc51dML8QLhaiufxnNcIfxk/Phr%20OxSd0uTOetNl1vn08+GvH4b/oz8Wb+7jBZ7G+SNeYFxJiBcIAFml/OWfZ/FzI4zfbv3JoY9FegA8%20hf7BmUECAeA4mD/Er2VR/vV3e4eD2eS/1h/l0Mei6R8rX3IO22QDwIdQI6DdhfyjPd0OhTW3P1Gh%20GG+fze9S8srBjwXTP8i7MZkLhKutfBoP9e+UJOWM11kGP5kLjCsJc4EAAJd2/vD/CsQvp282hG4p%20+IM8lQBXpH+IHxJ4EGcYCMWKFyTvA6FYEHD+rhkGQgEA0D+8QAAAQPzwAgEA0D/0Dwk8OVaouAD6%20jSDZNTT/BG29s+YsNl5ynNG9jPxHd6m+jPRnAsSLH6+9I4HnxLed/3Y7bXuxA/3ITlKFu4F8Y66X%207enO2PZO1lKj7EACKl6y4depWKPPOioqrh0AYtV09U6mrvt2K6r2nMDLMq1XnYbPBMD5g6xIYKBr%20a64GkQinykeQ6dNBDXPl3Al8W0VjISlZtAIJiPLnVs3eSivZ6L6IWuVu340wOJuMnHxUAHkn3og8%2003miss4kGjOk0D+cPyTwMh3k8+Oo3Y/GypEd2lZ2aQbGKoAT6ESw9cYl/bKogierULd7jC5Pc8VM%20tRn7ciuft9gRVYAk8duWcP6QwEu7gE89oRsDhQI5gaI2MJ0YtpVHS6ikLB6ckdTH/toOBj9ueREG%20l7313dYZUbUHQpVYOtGYlVhiAkhw/tA/JPCiCjgZES++2KhZ351eKXVSI5hG5eDxbbXC5bFiS6mS%20Qnf+cDeL7LmJjaGaA1RieS/6jKRDnP6VtugfEogCwgV00ZFC102s3uxtBNJx3LWVxl3bHjtVg6hx%20uru1BlXFepkic7hC/w/xQwIvjW+FAxSVWcc3SSctbq9ekW7g6NFK3ryO3ZUxicgrdgtb5KOTo5qN%20u6oz5ulrTd4trZnmO8bZwRE/9A+yJIGRGSHeAiwejaF67cFZDXMvXobOUs3FtGotklETe8N4kdo1%20Ce8Ka9Woe01jOBXWmGfJWPedAVeZ5py5J3O4QucP/QPiBcI1Vz6N57rqP178ChaiL1OFIV4gAADO%20H2QRtskGAMQPkEAAgKKKH/oHSCAA4PwBIIEAgPgBEnjy1liilgvd22BfQP8ACYzhDC9FYMULkveX%20IrAg4gfXDC9FAAD6B3iBAAC51j/ED/ACAQD9A8iPBKrtHwOBVGPOYdfQfOPZ2bV1MMUfStc7ELV6%20NJ+DEqE44of+Qf4lcNZRexhbsU4Hq6Y24vesUzJ6S8yVc8z1sj3duqhdq91YRhbTthvzz2sS2jYR%20zeegRCiU84f+Qb4l0Bcoqdztt3fR43zypwICTIl4mnsnUFq6YsQ/CUkrv1gRHmaTUbvvBNfVtAlt%20PukToUD6J8UP/YN8S6AX49sK6hbpshpDK+IpHVkRnMBlz9APSlrx/FzZkyb3HDYVTTnYJrT5pE+E%20nIsfg59QKAlUHV5/vQvq5kR6gyI6gaI2sIc3t2bl0T+8OXvqCXsMNHTN8+3ON0zMJ30iFMD5Q/+g%20OBKoViw8Vux+SkkhD+sFRc377R5wlO/vDW8qT88ZDPehZoA1D0XafNInQt71j8FPKJQEmuvlrvtr%203LXF6o1H9StDo4DqwagpplsGBSCsfwCFkkCjUnPnAlVfKKo3dHrFFLpOyRuJ3Lyt2neN3d9BBZT6%20Z/Sq05gVnNp80idC7sQP/YMiS2C5u5hWnTULzdXAtPo93gIsHo2h2Rq7a1PuxctO4Mx18H2XzetY%20Joya0VcIrSahzSd9IuTR+UP/4ERN7KTbHMuO5wzbZG/5bVysgyrlfZtsGk926/+Mzp/0NLciKy2h%20YIWZz+f1ev0oJZH/HP0Hyx6hAIDzB1cKe4QCAPoHVwpeIAAgfoAXCACA/gFeIAAA4gd4gR9v3qcF%20E166+8oxmO88qJ3uS6VPXzfoH1ydF3iGlyKw4gXJ+0sRWPAMAqi2+dk2Zh0pgt+/lPXNiHqCYkog%20AFwzm5//te+GQu1++Pvf/26+BDWwFPUFL/U8JDL0PFSkwnz79i3Lz5pIIACcEPPHQvxawCEESMl8%20Ps+yoVkRCgAnxPjtlkoAJDARtf3jvrCm7BpaBHaWjobuCxrYXkER1yS8BhM9rGsoNJ7LUf7199FE%201f1s8l/rD7bAByQwzKxjhQVQUU0Hq6Y2rKmKHNdbYq6cIy297luBIafV3n3A0Jvne8/AKlCumG7d%20JhEWL5nNuGVutS0mkA+NJws0hlOhtjz/+7d/vqCAgARGnujfVjUnYHi522/vAif5/YHmajAd1DBX%20zhVwMnLDFTWGgUiAUrjG1fbOwCrUrRPVofy5VbOdiEA2fediq8V4gXBD+dB4siKC6nFFuxg06X2J%20c3dEXz9duCx2CcJDIRcqULgwl6sfZ0Rod+PjVsv/ycnvZ9E16ElyjnrWqbx1ogOhSrhaLw8V7UWv%2042UozJ9sEF7UIxVtt2LE5kPjyfiwgO3t//Xjz4uL4Oxf8U+sUp+H8pfv5vNtRionWJjL1c/m6887%20a+Do965VD8eulizEC7ypLntPM7sPexzRLxSYZW99Zw9gtsbuQKgtXJrg8NaEn9ETzhCB7tfxfCtd%20POfa2Hwgsw9F6n0JK7Dj3e/jfy+qgZuvf3e7RpYmjDNUORetn/KXL9bvv3HXPkm1ZMELbAzVjI4d%201bTPiFWRcUe8recea8Q7QbjUcKikvzZi54fHLXOBAOYW9b5ERpA+j3oy++3vzKhghionE/Uzm4i/%20pAN69GrJxkCo09ltF12xXlZv6McKiZS96MPl63i57FmB3dWSlVEzulRUPv35Zvs8B1ENh+zmE1Pk%20A5kjc+9LlL/88yx+bqiczNWPGg61pj+OXi3ZWBHq9ldqIDQ08QPFoXFXdUa8rXnB1ufy7uHHWtxZ%20E21b1bwWIYKzfa7+WUuIh43oQ1QwH8j4Q1H23pcwf4hfy1ROtupn8/XTn+KPhph9/bo5frVsT0na%20/KdtpzS1gRnox3xEUw66BVzQvhpLR00ZMLDpDYi7bcI9bkbGyvc3FBpPVrEbxO2zedli7BZ+aFrJ%202WtjVx2XrRx/YT5SP9++fTtCMXx3P261lE66dU2pdNr8z3MLKGrl03gATs18Pq/X65ktHhukAQDA%20lYIEAgAAEggAAIAEAgAAIIEAAADF5OQhc7McLxiwLwAggSfkDC9FYMULkveXIrAgwDXDQCgAACCB%20AAAASCAAAFwCJzStHa/WCReboSBOSOBxrPx8G7DqTBNIdc8lkLdftgr/FyBgzpB93Rah//V7efmj%20Wns36MxS3BEgi6i4RNY2mLe/GaLxMJ2a28CW8JB7CVSB3nrLQH9mxwFWgVQNbS8VvgRy+Mv2gjlY%20O93WfKFwQ/b1WsRWhZIMN4lZx4oU4Rx1Hptk4rhlbv2pSXcEyDCNoWyvi65RKv350yDkSZEkUD3c%20N1eDqX+3f3O9dCIklT+3anYkjD2XQK6Zdbxg7zr7Ku1ynns1TUIFWnLErNztt+3Qu7PJqN13crRS%20gyEGA3cEyIcISk8wO3GSkMAjGdaKjGuEejQ3HpyKqrp62+y7BPKMFRWyv5OjZPuqWLhpQkjKXLzB%20onCIwdAdAXLwnPhTtG+lJ/jE4H2hJFCDdAKxwzX9tJ96ItWIpDWVZ0RPls9JSyf0rtI2zWUhjy/1%20HQGy8ivpTH4dDv95vhWjJjPYBZdAo8II5zX9tqWHpuLF78eZyuuvjdAqqcZQzfap5S33oh8cH1eT%20iuOWGQgZn/6OAFlQP9mym6P/fm6E+WMhE0bN0qevGyqmsBKoHurdiZvN20pUb+itUECf4N2FJ/a8%20pTWLrlgv3QajvEa1imYRHPFEASFXWDMD2+33L2X3T/sDFFUClRs4erSe89NO/EBeURO/+/VIPgd7%20jl94Ys9/2JrksxqM1D9rmWhk9Xi6OwIAEngpN7C7mFZ7hvT+1RiW3YfxFmAxSTfx2xiq12Ocd/ke%20K/a4ptckGkOnvXgNRj08WSNGkVcAmWoGgFhKJ93mWPZEZ9gmO9c7Nee79eS88mk8AKdmPp/X63W8%20QAAAACQQAAAACQQAAEACAQAAkEAAAIDT88upb1AqlajlAoN9AQAJjOUML0VgxQuS95cisCDANcNA%20KAAAIIEAAABIIAAAABJ4GrRbgCbvC8quoTnHCv8XwDGndyBq3zir764JxVGKXGFFnonJHACQwPOj%20Yrr1lmkSUx6FPOAGOLKYtkXNjmI766i9rlWaCgIYVLTN873W6vKadd/Op9q7910Saicqeq6Ybt3M%20EUEAuKwEqofy5mowDQQ61SamPAo5ZNbZxXX3xTIqd/uByIBSAMfVtsbqs8nIDanVGO7CA2raiVJd%20J3pS+XOrNpqggQBwSQm0YkAuusb+xJRHIXdYQf76jnCpgMnj113wPy8yoBLA1stDRXO9VM3KWyc8%20EJrcTghFCQCXl0DABXzqCXsM1FWu/noX/M916WwB7MZFul321nf2+GZrfB+eDYxK7q3MPHBTAAAk%20EC6ggJORP4q70qfHijUXaEmhNV+3RwCFO48YcCJjcSYhZe63+9QSAJBAgHMpoArqvvvcuGuL1dvG%20GrRcOmHhe0sVCz6gXVL23nNnmbt/phEAAAmEs+Jb/WJjVGo7N07Ko6jelP1rR81BTbSnuyUvrphV%20e08zfX5Bve34xFOJb4UZZQDIgQTyFmAxkU5fMEHK3bRqe3xqPac5bKRoEo3hVDStS4x1fxE/YNoY%20mq2x4bwX+FgxE04FgGukdNJtjmXHc4ZtsnO9U3O+W0/OK5/GA3Bq5vN5vV7HCwQAAEACAQAAkEAA%20AAAkEAAAAAkEAAA4Pb+c+galUolaLjDYFwCQwFjO8FIEVrwgeX8pAgsCXDMMhAIAABIIAACABAIA%20ACCBpyG0BagV0c0mdmNQdg0tAJ6hPVP6jO+laxNFcoPRZa5PBAC4mATOOlYMHN9nFSzVCQywauqC%20uoUvgTziGdpvZ3O9bE/dyBBbZ5tsbWJig5GJveo0lLk2EQDgQhIotUwFBJgOal7SZNTuO1v4l7v9%20SFA3zSWQSxfQC2zks7NKjcQw0iYmNhh1hRNH10qzAjBpEwEALiWBjaF8Il90jWCS95SvCeqmuQTy%20iC/C++b50bWz9Pec8Li+wUptYtoGAwCQUQlMdhOeb6W790JQt4Iitau/toPBj1tO8D7pqInawHQC%205FYercFKbWJyg1H66sTRVfrqiW4kEQAgexKopvt2HSMUELUy5bFiC5uSQsu7UxHidzZXkqVGNbWJ%20expMY6im+5S+3ou+O2iuTQQAyJQEqs6xKaZb9K/ImOulOxcoGndtsXrbHLXBKOHcWoPmYr2s3pTj%20EwEAsiKBsjuzlu2Flv1B0TAqtd2ClNlkJCxBkr6cN8y5eVu17xoxiXsajHeNGvN0rtAmAgC4bE9J%20bP7moCacRe9mZHxKHfCdEL0k1S3g9Bxc+dO2a+TdVJ+/ASQmug1A32D8mXvZxCTSeADOxbdv37Jc%20vNJJtzkulU6b/3luAUWtfBoPwKmZz+f1ep2BUAAAACQQAAAACQQAAEACAQAAkEAAAIDT88upb1Aq%20lajlAoN9AQAJjOUML0VgxQuS95cisCDANcNAKAAAIIEAAABIIAAAABJ4GtRO/75IqCowvD48auwl%20kEeUESOG9hK9VF+arlXsySfaTmg9AJARCVSB3npLf++k4t7YOyGvmtqOKnQJ5JJZx4rw4BjaCeEg%20E8ctcxtKNddL357ooSAie/LxJe6a2D2tBwAuL4HK32uuBlPfbv8qopvTx5U/t2qjyWzvJZBLF/Bt%20VRs8NGyb99t24KTZZNTud93YfjLVio6rTq0Yh+SjEp1ghF42OwEcV9u0HgC4uAQ2hlb40pjebfM6%20XkaCuiVfAvlGWtfz8aQe2sonncBlz9g7OO5DxZZ3ghGq0ICegCoBbL08VKhqALi4BMa7CGoix+gJ%205/EeiodSqd7TzFUpTQuQzv6L8gilS+fF9zMrj8FhTX0+Ukv7a0s11YCoG07eFsAuweIBINMSqIZD%20JbIXC/Z3UCSPT03TKZW6F/3guLaa7PWUSzUGV8QsxfMNa8bkox6hHiu2aioptFxHBBAA8iGBbu92%201w71d1AkR9B+0JH6JtbL6k15p15qQdQivVZF8zHXS3cuUDUisXrbWOPqzniqWkw1apZ4vAKAjEmg%20dAC8nmk3GwTFw7O0GsC0J32l/lnLOwOLPgNNYvO2Cs0P6/IxKjV3LlA1IqF00RVKa5VoTbQPUlkA%20QALP4vgNzdbYXfrwWLEHw3iPq4A0htNqbzddZ4mectSE8s8C7wAGmsS9eBk6Yuk0CU0+Su7cRLV+%202BwypQwAeymddJtj2R2dYZvsXO/UnO/Wk/PKp/EAnJr5fF6v1/ECAQAAkEAAAAAkEAAAAAkEAABA%20AgEAAE7PL6e+QalUopYLDPYFACQwljO8FIEVL0jeX4rAggDXDAOhAACABAIAACCBAAAASOBp0G8B%20mrgxKLuGFhUrVGQ4OK420UvVhnwIH/XyKB0SfRcAkMATomLD9ZaaDuxek5p4CeSfWceKFGFFc1g1%20HfHSJqrUdd8K/DCt9u7DIhg96osUIRPbokY8ZgC4qARKLVMb+U+DAVNtARxX27VDLoEiuIBvK1eZ%20yt1+2w54pE1UMZDcqEmNYSTu0Z6jHTciPQDAxSRQ9k4q0KmhEcDWy0PlgEvgCsWy8taJGQhNPGqF%20FewjgABwYQnUd26WANJDXSPlm+qy9zRzhSohUbLsre/sCLitcWQgNP7o7KknGAMFgExKIAJ41TSG%20arrPjo3bdwe7tYnCm8xTGunGiBf7js4mo1rrM+0LADIogSpu+NKJAd5bqgDi2tV+UFxH0Fm1suiK%209bJ6U45JlMKW7E3GHEEBASC7EuhbtmfK5/32NLKUAYrMrOO9w/DormjRJjbuqs7oqDXzF5K1uKOa%20UwEAsiKBMb4hbwFeCY3htOoMAoxb5rARn6hShTU6WjLWfftByddONEcV5pqXaQAghtJJtzmW3dEZ%20tsnO9U7N+W49Oa98Gg/AqZnP5/V6HS8QAAAACQQAAEACAQAAkEAAAAAkEAAA4PT8cuoblEolarnA%20YF8AQAJjOcNLEVjxguT9pQgsCHDNMBAKAABIIAAAABIIUBhmThBBNtwDgIxIYHALUPXJI6anYtfQ%20HBFrrJkuqO3O/rutsf3tIVG9wjeK5D/rNMXU2oR9Kpq0HwC4uATKbkqFRfIw18v21A0XsR02UlwC%20mXa79MaSeuXokdkaG64ezTrGum+LVLVnhbr1BQ+RiW0vEOCeG+nybwy1DQoA4AISqJ7Sm6vB1AuD%20aoezqRgHXQLZlb94Y6lHHTvuUflzqzaaWBo1m7jBkJRchQNlSSduNdDFU9bdSJv/zjeUZxM5HgAu%20KoGyl1NhUI1Qz+jEzNUOeekugYySZCz/o46KcLt62ziJb7rhUeEEC+xrw0dqbqTN3zt5+yLuicYM%20AJeUQH3PKGoD04maW3mkmyoocZH7lr313dYZvrz3G3/21BN+z80LpJs+/1mH9gQAGZZANfOzG/+S%20T+/LtYldiohR0Q9l76b6lPHHrzvBmk1GwXjvmoHSvfk3hv21M8IQiKQLAMBLEXDGZx3f441y/as3%20ZXvEUk9EAd+VvzsKGrfQCgCQwIsSGN6SXZe7OAIK6AaOHi1Tb17H7sqVxl219zRzje+JXuDDB/IH%20AMiyBDaGagm7sxrmXrxYz+q8BVgYPFOWu4tp1Vr4ZIxbpuuTNYZT0YyOVMbNHCa5gdr8AQDiKJ10%20m2PZGZ1hm+xc79Sc79aT88qn8QCcmvl8Xq/X8QIBAACQQAAAACQQAAAACQQAAEACAQAATs8vp75B%20qVQ6af6s6Lssp7YvjQcA8iqBdDHFBvsCQK5hIBQAAJBAAAAAJBAAAAAJBAAAQAIBAACQQAAAACQQ%20AAAACQQAAEACAQAAkEAAAAAkEAAAAAkEAABAAgEAAJBAAAAAJBAAAAAJBAAAQAIBAACQQAAAACQQ%20AAAACQQAAMiSBG6eb0ulUmfm/KX+0DPrlDziT4tk++7yiJNf+5F7Ha3aT5lJ3AkXqahj17bVIG+f%20N5cwdJoML9i68vVbAMiGF1j+3KqJ0aOuT1G/j+aoPd1amIPaqJmy84FTdG70VLIWHke1gbnolqkZ%20gEJS+vbtm/y/er1uf57P5/YfpJBCCimkkFLwlO3pkI6cfav2wPrLcfCmbfm3fLYOnmylui5gfFbC%20f63pzzZwjuZW/pODF+quTPldnFuEyqW5UldI/QV2mdvtWqhAdnqtJkLfIlJsfVHjqiKaTeizd3LQ%20RLtPMbmFKirui8dWrLZd+D9pv765/ys7fw4GXg17RvTdPmrZ0B1DFtnbGtNY/9CWZmor7QPfMVRI%203wHNNzI/ZmJtHUXbOeQb6WVluXink0BfB+Q0de3vJvmnHO344rpy3zneKWkk0O4FtNK497v489cr%20e2whY893eiVfb22fZKfvLogrdpqi7qu3QDX4PkSK75eU/XfXfPHYRpJgfK8omq+fWgIDf/tLkGhZ%20M/Isp38gi2+Naax/QEtLlMD3fUddWWK+UZq2nfiNYn+PMc8HgAQem5PNBc4mI9mQW5/L7gSgNx14%20U5X/Xb2ln+VrDGVJh4Y1l96U2Yrl2tTdrn3X2J0emL/ZW87Bg3VluduXP8DIVGXcd/Gni8aD/B0v%20x6+bj30R9xnaKpBdHt9J7s1iix1f7QlfP229Ne7UbSaz0HUpjB7zxdOUVnvTNFZLxi673RZ3tSoO%20t2z02thaTduMj9HSPv4d1TyozKJvt4f97eRAEydbUFurADlaDrN5W8n/Vm/SNmT7dxrXT1vrRI1x%20ywwM3URud6Jyxp1jpy97hr2A1egt4zUt7RfREn1cSC5S+mo/sN4sOVKlUR2Y23+lubv+i6crream%20h37N97WKQyybplbTNuNjtLSPfsfN871M2Jk4RTs5zMSntiDAhSXwYFfP97Cvf6ae+h48axXjAAX9%20aDnjznEer4NDNsPGPpcr8YtoifYUyUVKX+2H1ptyFqSvMJMdmOZBPfbuMV88ZWmjNz18IOE9reIA%20y6ap1dTN+Agt7aPfcfZkCeCLW9T97eRAE5/aggAXlkBb0pyRFesHte8B0BqKGTXdBef2K0TeSxG2%20OtqjM5onYFtB7ZEU710uo1JzT968jpfx5ew9zaKDP3u/iz899TtPe76IjVMgpzx3jdTFjq32mKrQ%201ltCh6fGspa9Zm+pHaqKN7r+iyeen3TTNFZLY/00rddv2ZSPDPrWmLYZH6ulvfM7qiI3R34BTPxG%207zRxKgsCnJ6srAiNrFDzT/L7ku28NIsTEtaXRcpwmhWh+ms1KygiX0SzCGHgnBlc/xI4/aAVoXFV%20oc9m6t09vODCv0QnaVmgxui6L75vRWjMTdOsCI35ymZcYzTTWNZXMyGLmKlrNcH6h7a05BWh7/qO%204RWhocUs/nPNj5k4YUUoq2FYDnMmSmpV6FmRz5tGT4TeNwb/nEoz8j42AEAumc/nu3fyrmkgNBZz%20vWTBFwAAXJ5fzu7kTEaiPcXDAQCAS3P+gVAAALgWGAgFAABAAgEAAJBAAAAAJBAAAAAJBAAAQAIB%20AACQQAAAACQQAAAACQQAAEACAQAAkEAAAAAkEAAAoBgSOOuoqNZ2eGsHFeXaimGtuG3/jzaU9Ttx%20bxTNM3zELUHgzMRE74D2Lkf8puqaD8cXBwAoKDmJPDxtR+Jz+wKqD3zxqWPCvr8z4H3gPl5o7GAQ%20dfsEdcgXmzuSGJOBSgp+OuI3te92lCoBAChc1Ph8SKDsyYPduE8aQscip77vfo7oBCXEumtA0Owk%20+7h3VJsYJ0sRATzeNzUHgzYaCABIYG4k0PGSZJe/0wapAkERCfhp4e5de3ZAlg50Bms+xyviGlrF%209amd9bc2MfwVdw7jYJpc9kO/qV8Bp8GbAQAggT4yNhc46zRVUPmt2Rob8i976u11vKzehMPMl7sv%20tjSs3oKzYuWb6nJtRnIudxfb7bARmGDzzbPp5wKN3lIINzdzvfR5ecve/fNGbN5Wmit1iT4ad0qW%20luPXjfpy4qaxu/Ao33RXl09rmbX/ZgAAkN3lMLOJlL1axQina5KUJImalAZbi3wYlVpYLEJKGGLY%20iD3T8qFGTSWStrBZClX+3KrZ0ihVSHOlLlGvgRvz5nPjON/UEnefmsu6HDWlwNtPEmggAEDGJdAi%206gfp/cXJ3WLRt7QkLA0JpPcCbbEaWiqohMYWtrC4ShWKirU2UaeBT6/CKB/pmzpu7u6qt0pgTQ0a%20CACQbQm0tEPjwoXH+2ad0uROdfeNod2/+6XBXC/jVTSNF2jLpCOMyvlr97tlR7d8StK+azgO4Wgy%20s+8raq3P5ZjEoAY+WMVeRRTwSN901nkUu5s6TmvviZcjAAACZHM1jCMymuUw3qIU66j//N0ClI8u%20h/EvfNGt5hTaFyW0Lz/ELkTx3puIW+Dy3m8avnX0QgAAlsMoSmpVaPaQjpjRW8oO2/bQLF8oZs4u%204v+kPjWLXM83BYBrYD6f1+t1BkI/RGM4Fc0UG6JI5WyKaZ5V4Xq+KQAAEqh3cJ7U2wjOdJojDdsX%20cZ+81desY6z7uXeLruebAgBcmIwOhAIAQAFgIBQAAAAJBAAAQAIBAACQQAAAACQQAAAACQQAAEAC%20AQAAkEAAAAAkEAAAAAkEAABAAgEAAJBAAAAAJBAAAAAJBAAAQAIBAAAJBAAAQAIBAACQQICrYNYp%20Odw+b3zpm+dbmSD/W+rMqCUAJBCgaEiFa64G5lYxrfYMT+02r2PR+lymigCQwHP1RqUdqivaPZ4H%20n87hSL6PrOOEOm//zzVUe7m72C66ttA17tpi9bZBAQGQwAv1Ruagpv6sDR4asksabqcD9YTu9lFw%20PP17rJjDRlKdj/7fi7jP/RigNY757Aq9X/Qj32zz/Diq7VTPXPsV0H0yYEgUoFBsM8euQza307Zo%20T7dwbCL1Gl/nuTeB9dVq9kin/DLu3yrZSQ1VQPiL24fsv1UGtEiAA/j27VuWi5fBucBy90V1Osue%20UZrcbaWjAh9z95yR5FnH8WCks7OyHL40dd54GKwe8z4e2u7bowhGpeb+Xf7cqi3Xpn8AIjAXOJuM%202ne7eqg59aUyAAAGQs8hgsKbl9GNboVhiEongM2RclvM1tiQf9l19zpeVm/Kaeu8fFP1SUWxTeDN%20BQYVUETrCwCQwJNhrkXN8kru9Q6I/dAeBH8xqoATKXu1ihFO1yTF17n0fHSPIoU2QUgBAQAJPKfv%20MrlbLPpq4iZGBPEC05POg9lf5wU1gRopdsu9eVtZy2Hk/6OAAEjghbqkyd3QWppoDuI8QbzAVFhT%20VxoXLjyymVjn5nqpU9GimEB95VXTlnBj3Vdrj9XrEDo/GQAKRwbXggpn1Z21fs+fAO9Z+xmpRFnN%203srHvXUeOBsAoEgrQkvyfzwHFJ7N863RW0pNs/00y+tL57MdcCoAQJj5fF6v1xkIhUwN/k1FM8XW%20L2rzMDFF/wCgoCCB18DsqbeU/zeazDwR3L6I++TlK7OOse7jAAJAcWEgFAAATgUDoQAAAEggAAAA%20EggAAIAEAgAAXIBfMlWaUql0hrtczwqg89QnxgIAJDAfXV4BVOF6JOTajAUAZ4aBUAAAQAIBAACQ%20QAAAACQwm6ggb4qEfS5VPDtCCB4RbYUm1rLvYDS6YOQAxgIAJDBVX9wUdiCf1tjQ9pxSIg1rW0w4%20WqXfRytUm6g1QSC64LQtaoOHhnWS0as6MZlWaTbuBgC4cgk010snpnf5c6vm2/vZ8xCbq8F0FwgP%20jiGA42q7liJxvwlmHXnopauC8Koo7bYWSo3st5fjVzQQAJDAxO5Y9ptuTO/yTTUSFb0xlE7FokvU%2076MKYOvlobI/cb8JNs+Po3a/W6ZWAQAJfJ8TiN3OLoAh0dImpmD21BOO32c/wSx7TzNXGqlrAEAC%2092BUGOHMqQCK2WRUa30u+9xFNQeoFsPciz4j1wBwZn7JX5GV6zAx5f8La1BUVO8YVTudAr6Ol8ul%20Ueo5n5ul1cB8EZrERQpFtBTQDJyn1sl07YOdHqYEALzA/W7g6NFaPKg6aGdlDJzmecNbyWlKL609%203Uqp0yam0dO3VcAHtNbNOMtArTlCTAkASOD+bnla7RmlUskYt8xhw+5BeQvw0g7jXhNEZ3EbQ8eS%20PlMCAJyLUqa2UZZd4Rm2yb6qSBF53yabSBEAuWY+n9frdbxAAAAAJBAAAAAJBAAAQAIBAADOSube%20CyRQOPUJAHClEniGFaFXZeC8rwjlJwoAp4OBUAAAQAIBAACQQAAAACQwwyTvyMWWaceqWfXJRpcW%20TE+4xJfqhYffkw8AABKoYdYpGb3l+47CHgG899XdrKO277S3xF41XfEy18v21N0rexva3FNe0qtO%20w5fI1HXfOn1a7d2nyQcAAAnUCVypuRpM9QHmko/CfgEcV9u7uvNFdyh3++3l2nRTK0ZcDvKgExbX%20umT8quRuNtlFgmgM3dASifkAACCBUWQXupWdqPGeo7BXAFsvD5VdgorOaGuYFc/IESzpvC3tCA9p%20hy8tsXvrhAZCD88HAODKJRBOKoDB2H/yiaK/3sUzsr03Fam4NjCdkIGVR29uz1XN3tPMVc1d+rK3%20vrOvaI3tgdDkfAAAkEC4oABa61UeK7ZKKSm0XDUVM3cXJVcpnj086qmmmgNUqnkv+t54tDs66nmW%20e/IBAEAC4TwK+Dp2RyXVUqJR0xqvNNfLXaT3xl1brN7SOGpuXPlFV6yX1ZuyJXBUMQAggZBNXNmy%20FnLWRHtqOWhGpebOBaoVLcLSs1nH/17D28pd5+LgHVYDoc7Bxl3VGR31ltjsyQcAAAlM5cLwFuDJ%20hHFadVasNFcD03pvoTE0W2N3Fcu9eLESPRM0hu4lavrQfdNBpgprdLRkrPv28Kc2HwCAc1HK1DbK%20siM8wzbZud45+qq+7FUZC6CQzOfzer2OFwgAAIAEAgAAIIEAAABIIAAAABIIAJlm1vn0lZ18oAD8%20krUClUolrEJ9QrYF8O//fm9RD4AEHp8zvBRxVQbO+0sR/ESzxubrp8ndP63Jv1QFIIEAcF0K+O94%20MVqoeCFd8SsRHiHvMBcIAOkpf/muttB7bj+b6B8ggQCQU3/u66e4KI3hQzMr0CMrYAAJzMiP9/m2%20tC/OKruGfqhifVUXqW1fgsYKcUeD6e4VaUwJp/LnzOfbFIdmnaaYStfvrx9/uiJY/jL8UqYKAQm8%20BLOO2n3ZCWmwaurirMqnVhXwBw6t2F51GqpXTW37Ykpst9O2FwjQ7h1jjprrZXu6O2APoqUwJVz8%20uejnf3YIj8bd7+N/D7NQCa6eozQDJNDfUU9G7b4TZ7Xc7bfDcVbVoE1zNZh6sVohXVf3tnLlyqpX%20K0bSntqWDsJqEA6zqz2qcq8Yh5kSzt4Gvn6KDHeaPxYfyXKbJcSW8py7SB9sA+LES9pzuCK0Mdw2%20/J1orfIQPr4dqhG2MT3aiWvbCgfY35bjRlX9R6UTuBwZpZ71QbqDyg3cZ0q4wODo93Ca8dstFQMM%20hGbxkfX5NskHgQO7v5vq0olqq9Rrf23PnnoiMAYadPECR6UTKGoD0wnJW3kMjXliygy3i19/H01m%201kPKf60/sBAUi2z54AeUZ9oWXp+qwYl8fmSvPF8c/GVNZ/S4psaR/bWrq21rns9MsE/8UXnQZ5tY%20U16Vsc6PqnfJ7bO575D9UXfiaQfBGAgtQJG+ffv28YHQ033ffL4aL30Ga+HGgheTjvzA311su7YP%201+lV78pJta0GLltmnFOQfBRTZmSQW00ZpDiUcCYAA6GX0T9ezD02s07JGZ+0pvGsVYCxta2Wt7Q+%20x2lc5KiXt33Uyh1TAgASeJgCvo6XQoyawVfMeAvwKF7BtNozVJWqVxUsXdLXtsJcLyOPJp4JIkcb%20Q7M1Npw87sWLyj0+cwCAc1DK1DbKshM8wzbZud45+qq+7FUZixZ4jvLIHk9QnrMWaT6f1+v1j5RH%20/nO6VsQGaQAAcKUggQAAgAQCAAAggQAAAEggAABAMcncq/En3RT8CqE+AQByI4FneCniqgyc95ci%20+IkCwOlgIBQAAJBAAAAAJBDgbKgQx+yOBgBI4MG9ZkK3ya6hhxJXY5HaVicGia3ocJ5uXrsts2ed%20prDDJk1FE3sBABK4t6d2e01zsNJ3m7KnNXpLzHvQU4W2xnS1rUIqBeMC6uPmhvP08lJbZtuGawyJ%20EwEASGBqVAfs9Jrlz62aHdA65LQ0VyrmK+ZN71TH1die2pZOnD7Yuy5Pc720IzCFs7J8Q3n2A2II%20AEhgaofwdex2qh4qvOd20TUwblpS1li0tq2wgv1uOV2eKoZgxUko31TF6m3jP3n7Iu69kIIAAEhg%20fH+s5qOMnsBzuFxtz56CKYGwuFEiMQTta5A9ABClkrjEe8C5lUBnPqq/NuhCL1Tbs8koGBleOnOL%20bjk2E6NS03mLMlN7iYyx7iddDgCIHxIY6kHv2su1SSO6QG1HFHCvjt5Ud1dv3laielN2hNOBdTEA%20V6h/Oy6xlVUOJTAw3Kb64QrTfheobTWzd5ACWm7g6NHKTDuJCwBX6vxJ8bvQVo45lMDGUC2pd15I%20e6yY1uAZbwEel119amtboZ3Z2+MGdhfTak9lZoxbJj4fAM7fhZw/ryCZ2kZZdo5n2CY71ztHX9WX%20vSpj0QLPUR7Z4wnKc9Yizefzer3+bvErWf+crhWxQRoAAFyX87fjF4wCAADn078sDQwggQAAcF3O%203w4GQgEA4Cxkb2ofCQQAgNM4fxl47SGZX7JXaSVaDvUJALnXvww7f9mVwDO8FHFV7TDvL0XQkwDk%20W/zm8ywXloFQAAC4Lucvu14gAAAgfniBcBVY8XIVbHAHgP4hgelJ3BiUXUPfUXNWXEC9Hmkv2VvJ%204RNcvdttvT3rNMXUihMxFU3sBZBD8cv8ss9iSuDm+b63jPcsjN6S1nlY5cw6avtqJUfmYNX0x2HU%20XrK3ksMnSD109E5tvW3rXWNIjCQAnD8k8HABHFfbNX3HW2quBtNBjQZ6UOX4wh+Vu/1dZEDtJXsr%20WXeCuXYjJJU/t2qjySzgG8qzHxBDAJw/JDCVALZeHiq6Y1YI1kWXIIKHVo4KaTt+3dj1+7iLDKi9%20ZG8la05QEutGG5T3Equ3jf/k7Yu493ueAIDzhwTGCmC3TEs8uj7211ZsQDUguji4ggPhdaNoIwzO%20OsgeQC71L8/O344cvhRhC+BCxcmlNR63Ym/tucCyPTTZmR44TSclNOl8o1LTXdOfuG/At+UNea4B%20wPnDC0zoqF/Hy2XP9lV6SzFqlnAjjoP00ty5QNG4a/sGKo+DGmh15hfVoKio3pQd4XRgXQwA+ocE%207ulIuwu3yzQHNeU5LBgSPQrSS3PnAsVsMnIl6qg3GD1azyvqOcZZGQMAmRe/Yg1+5lsCY3xD3gL8%20cNXJh4tp1fav1fJM8+hOmXcDNeCKzweA83fx75epbZRl53iGbbK3RTRkIb/sVRmLFniO8sgeT1Ce%20dEU6kvjN5/N6vf6R8sh/TteK2CANAACuy/nbwTbZAACg078rGINBAgEAwBG/7XU4fzsYCAUAgCsa%20/MQLBAAAjfhZi2GuaA3aL9mzRYkGSX0CwIWcv+vqMTIngWd4KeKqDJz3lyLooADOJX7XCHOBAADo%2035XCXCAAwLXq39VvPYEXCBfGiperYIM7gHOIH/qXdwlUu1p6xPSc7Bq6r+40taM7qq/tnXAlV3LY%20Cu5lu+ges05TTK1Nz6eiib0AzuL8oX+5lkBzvWxPt0khdmRPqyIpQaRe7IiAVpiNVTMUZkp/VFPb%20Uthc4VInxilX2AreZWZrbNhXNYbESAI4q/4VLtrDtUng5m1VqxgJ3bwV6GA6qGHecNVMRu2+E1qq%203O23d+H7Eo7qalsFrHKEq/y5VRtNZqmsoMTUjpAUusryDeXZD4ghwMn1D3IugbIndWLmaofhrBCs%20i66BcYWmajyXSypeUNv0R/fUdlzkP40V/GJavqn6QvLaUXNfxD3RjwGOL37oX6EkUAUcrw1MJ2pu%205ZFu8z2V+Hwrva6XmGDDvqMJtW1NEho9sXPepDOXZAwppjqfHfsBnNz5Q/+KI4FqFG4XKF56E8HR%20PNiPmqMbt8yFXgCDRxNqWx2S9NeGo2LSmYvJ08Ko1HSOqbzedjGNdT/pcgB4t/OH/hVHAuGD7l9J%20rUnRi03yUT2Nu3a6pxC/gCrnsnpTdoQzYWETAOD8IYFBL8UbO5NdqW4mCuL0z+hVpzFaoz2qre1A%20YmROMckNHD1a18XNIAIAzh8SmOx1DNWSemd9xr14cZfp8xbgXgWUwiPEqBl8y8+tOv1RbW0HEh8r%20ZkqnsdxdTKvW0ho10orPB3Ai8cP5S19tmdpGWXaOZ9gme3s1jSPvX/aqjEULPEd57FhAxSvP8cTv%206FU0n8/r9fpHyiP/OV0rYo9QAIA8O394fh+A5TAAAOjflYIXCACA+OEFAgAA+ocXCAAAiB9e4PlN%20fFqu7yeTY/h9XpLN10/KCJ++Wm+A2mGunA/7PgL6hwS+k+2JuTYDb/MMv894derMXI2y3+B0IjF2%20/m/nSEI0+1f8o4zw/UvZC+v4148/Ve7JH+EU4scL71cigQCwT//+FP8MG6L85ft22pYpt78ZovEw%20nZrb7fB/h3/9MD6ugpuvf3e7hrvdxObnf/ZmPo2738f/bpI/hntvp//OxL95LI/f+SttRe6q6IMZ%20IoEAV43j3u3GGWdP49Y/X9zteBpDKYILKValP38aZSfJbI2fPrhVkpLX7db87W9LBc0fC//B5I/h%20cQjHbcnEv/krT0n4nb88VtEHM0QC4Vq6eDa409ZOc9Sebm1vz0qY/Nf6w78fnSWC0hP0pZZ//V0X%20xvg9QvjPs/i5EcZvt/7k5I9wksFPQAL9wzQqVJ0iPtgcu4Ym15xecnQV613iXeHLJlG8wlZw9W6X%20vTuNJDt50cRekfr7+Z81zJkkM7Ofon0rPUGf43c8UTJ/iF/LnqbaApz8EasdR/+EQP+QwLgnY2Pd%20t7vNau9eJ4Iq5l1viXk1NTdu2fFvzcGqGX6A0FWsTFPhI0JXmOtle7rdE+UobAUVidfWO7XLtq13%20gVD1oGPxw0z4POtMfh0O/3m+FSPvESJ5aDKN9LorbSZ3zsbo8glFfvz7N2sMNvkjHNH5Q/9OTdZW%20AKY4a9oWvu5Xd1iI2mA6qOlOEzlfJPmh+gzWXKQedRVrDmq7oPHqBPtDIDW1FXz5mwHr2KN80Ryv%20ylhJFWlz+2xaCfb/7w6pj7uzrGPm823SLyRzv+gzlmeb7fKoaTP336JU0bdv3z5YnpO2ohx6gZu3%20Va3y1okdCLVCsC66Bo83QlM1nssVifO3r2L9w2Pr5bJnJA2Daqxg5e8klG+qYvW28Z+8fRH3yXe9%20VptZzwzP7tBm46E1tt89cA6ptxZ2cYflh83XP8etB1xrnD8o6kCoWPbWd1tnQO2eXvM9zxHPt83V%204CUc5y9asSrUe8+eZdo8P452Yub5bGbl8dYdM01UTqmbusFSZC/NuOSf3YU73Vf+8v0f8WfcvOms%2086f45zvjkXnTP9+4HPWBBO6jNnAeclUHPX6lCz0MNUc3bukC3WoqtjFUc4B2wNz+oGYf7S62u6vV%20qWvTcViSgucalZrOyemvHXfSWPdTxt69OuxXFLxJV/k5bga1MUT/8oN65wHnDwk8sDu4qWK3j7h/%20JbUmRSM2cRWrBG9rDWuK9bJ6U/6A4RyttP1IJ6vdGB7rYgDnD5DAvTTuqs7QnDW91PrMQ296/bOW%20d8ZojbZivdFNNRBq7wISGPGUp9qpe5Fu4OjRum7zOl6mvAigkOKH84cEvl8DnTXYvrEz3gJMo4BS%20eIQYNYMv9PmqTlOxKq1qr3xRg6e2eFr7j7irYe7FS0r3TbqTTl5eVgBX7PyV0L6LWyNTmxHLzvHU%205TnDLa6qPik/5MiCJSU62wtWh/e3VS0XLs9Zqmg+n9fr9Y+UR/5zulbEBmkAABfQP8gChMwFyEOn%20eVzogi9lSmoeCQSAS+of4PwBEgiQaegu0T9AAgEAED+4FgksMf5DfQKgf3CdEniGlyKuysB5fymC%20nyggfnA6eCkCAAD9wwsEAIAP6h/ihxcIkJ5ZJynuIEAOxA/9QwLPhtrSMoi+62TX0GTBSaicUNVF%20LklrAo0VZuGIvLOOilthxUAXTewFuXX+0D8k8Dy4oXvsbrPthbgLdfRGb4l5o4LkCo4KAqhVnFDV%206S5JZQKNFby81C7b9t0DgewBcuv8oX9I4AU8Gl3kc+VoyPTpoIZ5NY8PjuCUP7dqo8lsb9XtuURv%20ghgrmGs3QlIoK8s3lGc/IIaA8wdIYEqX5nHU7kd7XysE66JrYNzE2tNF7EuuuuglcSbQZ6ViEFac%20BBWed/W28Z+8fRH3XhRCAJw/QAITXMCnnsBteN+zw22pZBxUe/pLwiYIRNKNIp1AnSeP7AHOHyCB%20hyrgZES8+PfhTOX110Zq9dFeEjGBdOYW3XiTGJWazluUmZZCYXoBsqx/OH9IIAqYfxp37eXafP8l%20B5ugfFPdXb15W4nqjROW3l1Zw7oYyKz48doDEpgl1LQSCnj4g4N/pFJJWMV49yXvMIF0A0ePVmba%20mUiATDt/6B8SmBki00q8BZjKixuqtxGcd/keK6Y17phcddpLtCZI4QZ2F9NqT2VmjFsmPh/kSP8Y%20/CyqhTO1jbLsHM+wTfb2appy3r/sVRmLFniO8sgeT2zTl/7Uzt9h5clgFaVgPp/X6/WPlEf+c7pW%20xB6hAAAx4icY/Cw47BEKAID+XSl4gQAAiB9eIAAA+of+4QUCACB+gASevzWWsAr1CXBu8UP/kMAs%20cIaXIq7KwHl/KYKfKOD8wRVJIAAA4gfngeUwAID+ARIIcAmseLkKNriDU4vftuQTP/QP8iqBVvi6%20Pd0mu4YmC46ucrx6dU8IpvguS2MCjRXc2++23p51mmJqxYmYiib2Apw/QAL39uJql2XVa5qDVVMb%208072tEZviXmjguQKjqq6iOKY62V7uvXHLnICBdpM26Jmh8hNYQKNFbzbq6237bs3hsRIgpOLn6t/%20pS36B3mXQF+UnnK3H415pxyN5mowHdQwbwglaI7glD+3aqPJLFKz8eGTpL+2GrxYgSL2mSDGCkph%207QhJobtbvqE8+wExBJw/QAKT+/Gb6nL8urHdisdozDsrBOuia2DcxAcJTcQ+KVHLnqEf31RV3e47%20kZL2mUBvBb/CyhzE6m3jP3n7Iu5Th7EHOMD5Y+YPCiSBqsPsr62eWo3G7QLYQVr1U9N4Rk+EnS4V%20yb02MO1BT7Py6Nej2VPgfL0JAuF1o2gjDM46yB7g/AESeFAP/lixe2rVD7OG4lA32p7fk3UXVB+V%20vnugUI6eN76pwsX7QsTHmEAKY9IDiVGp6Z5nHC2Varru8zwDx9Q/nD8ooARKZ2LXHTfu2r7xNDjI%20mb7TTuLpCCngO03gV1XlcVZvyo5w+tbfAHxM/E4f5xaQwIsinQl3Ikr1zW5PCimkzD9SqXQtMIkX%20OCo1ajdV6Fv98iETyMtGj9YddDORAEdy/tA/KLIElruLadVZtdFcDUzLd+AtwFSO31C9jeCsd3ms%202JN4u6oLHL0XLzunLDKJpzXBIZZTM4j4fHAK/WPwEw5qOJnaRll2jmfYJnt7Nb+QvH/ZqzIWLfA4%20+pd8onozMEs9XsbKc4oizefzer3+kfLIf07XitgmGwDy7/wJBj/hPbBHKACgf3Cl4AUCAOIHeIEA%20AOgf4AUCACB+gASev5GXsAr1CRArfugfFFgCz/BSxFUZOO8vRfATBZw/uCIJBABA/OA8sBwGANA/%20QAIBLoEVL1cToRCuWvzY8AyQwFisiHd7uk12DX1XteqqzBUpf2wlzwSJtRzOMpLVrNMUUytOxFQ0%20sRfg/AESuNdtMHpVq9s0B6umNuKq7GmN3hLzHiaA97oqkyLmiJTaRNsRKWmCccuOFxhrg6gVdFk1%20hsRIApw/QALTd9Vvq5oTwLzc7bd3UXv8jkZzNZgOapj3IAEcV9uaKjPXblij8udWbTRRwjWbjNp9%20J7qtZYNo3EGdFXRZeb6hPPsBMcT5w/kDJPBDWCFYF10D4x4mgK2Xh4r+gcONKli+qdrRcQOuWyTu%20YJwVtFl5J29fxH2MOwk4fwBI4K73XPaeZnbP/TjChkcSwK427G0kVmD40lvpvTnXBmLupsxq1kH2%20cP5w/uBS5PG9wMbQHNwa6qdTUwNtj1jxCAK4UMFzNUeNSvx4spQ8FTB34YqndOaSRjK1WTWG/Yn7%20Bnx7uh2WMcg16h/iB3iBhziC3YW1FGPRFetl9YZu8yMK+DpeLu0I8GrtyqgZ9OSUz+3O9G3eVsKt%20bbXUU61tWXRT135MVvYoqIJ1MVclfugfIIHvwhtvUwOhzgIL+ODjhLW4s6Y8saCqSd9t9GhVtxJL%20u7al/lmLcg/ULF1WcM3OH/oHSODhNIbTquO2jFum3Q3zFuCRfcNdfUqJdKp7V9tKwITyF0ulg95q%2012QFV+38oX9w8SaZqW2UZed4hm2yt1fzw8v7l70qYxW/BWbA+ZMKLIU3Q/WTsfKcokjz+bxer3+k%20PPKf0/UDbJMNAKd3/i4tfgBa2CMUAD6KvfHdp68b9A+QQAC4LgG0N77768efX+Ne8mTmDzIJA6EA%208CE2P/9r3w3lH4273//+d/PlS+A9mVLUF7woJZGtOMxZK8/Ri/Tt27csx75GAgHgQ5g/FuLXON8P%20z+/amc/nWW4GmZPALD8v5BHqE06N8dstlQA5JXNzgdsTc20G3uYZfp+5oPzr724Ekf9af7BXE+QJ%20BkIB4GM0hlNro9fbZ/M7Cgh4gQBwZSKovPbvXzQCmPS+xEXYfP10+RLZhejMMlRL4SJduqLsKvFu%20f6IqQgLhwjgtvcQGd8W07v73Jc5con/FP7F6fTbKX76bz7eZqqVgkS5dUZuvP+/U3ae/d606OVkV%205UQCw1uAut1mQqw5dg09pEITj6qP4erepSVL117DuS1btnXRxF6Fa2fqfQm1GWzj7vfxvxnQwM3X%20v7tdI2M9Q+ZqKQMVVf7yxdpEuHHXPm0V5UECZbepwvj4u1Wn2zRbY0Nro/AlEBKm+4TaCR2ddYx1%203xapau/eli6ZNm6ZTniJVTPmSSSN4QIB6KFoqPclMoV0dVT7++3vLKlg5mopQxU1m4i/pBt6uirK%20ugQqr6G5UpFxfQ1m7QbaKX9u1ey1aHsugaDEjavtWsqjs8kuHpWUKzuQkkrrOyGVyt1+excG8J2G%20s3xDefYDYlgwMvq+RPnLP8/i54ZaynpFqeFQ6xH5dFWUdQm0ptkXXcNfK2+rWsVJKN9Uxepts+8S%20CEpc6+WhkvKoVdtvoeHLgOsm9XBnj3cazl5M8SLuEwa2IY9k9n0J84f4tUwtZbqiNl8//Sn+aIjZ%2016+b01VRDpfDSF+CruVjAhgX6V1/dNlb322d4cv7kEapsc3VwLnEi2Wc3nCzDrJXZBrDqVCBJf/+%207Z8vGejbnUWOpdLk7sLj77OO0V2MmvYCx2zUkr9IF68oNYvSXciH6FKp+UOK8MmqKIfvBRoVRjg/%20JIAL2YI2BxytuQOU0nVbPr5uuq5GylYq9c/cRZmXzlzjUMM1hv2Ju4NNe7od8lpZ8URwux1mxt/6%208n37JYvVkoVaCpTh0hUVrZATVVEOvUDVEbtzT5u3laje0G2mVMDX8XJpRW23lqmMmgGnTX9UjVjq%201fS2pNa2LLrlDxrOHgVVsC4GAM5LHt8LlN7E6NHqu1Wv7a7VgP0a1F24amMOasrp8gtYzNHGXbX3%20NHN1q9b6XLb0z+hVp4dqFoYDACTwCD35tGq5K2plvt0N8xbg+33DPVXnDsLL6l73LVVUAiaUm1gq%20HfRWu85wAACXo5SpzYhl53jq8pzhFldVn5QfABKYz+f1eh0vEAAAAAkEAABAAgEAAJBAAAAAJBAA%20AOAKJbB0Yq7NwKU8w+8TCsdu6zH1KpETPIz3uS5H5jZIO8NLEVdl4Ly/FMFPFIqF2qPt106pObr9%20zRCNh+n0odFgfyu8QACAK6ExnLaFtQX0nz8N9A8JBAC4OhEU4jZrsZGQQIAz40yHMCECV9Xsf4r2%20rfQEn2j1SGAKtPtYJm9uya6hB1eonRzVo1koYu4BtRw+Hslq1lHxJhRT0cRecC3PfZNfh8N/nm/F%20iFaPBKZwE1T0nhSJKY8igM/3PW34Wiv+gxUqYtV0VEoFxbVFymyNjeDPNSafOCvosgoEoAe4jlGP%205ui/nxth/lgIa795O3AuIIH69tJcDaaD2r7ElEfBCo1bbUdrR8VCcqLjlrv99nL8qn6X5toNa1T+%203KqNJrO9+cRaITYru1dYuaF5AYqLEx/z+5eyFyrz+xdmBJHAhPay6Br7E1MeRQCt2PAPlbSnS12s%20OHWpwueu3jap8tFYITYrpyt4EfeaoVYAgKuVQDiFAOojvauo7k503M3z42jnuaXORzpzSRqmzWrW%20QfYA4FL8QhVcnQAuVNRbvedmDm4N9Tp6TY1gPqo0o1JLnY905pJGMrVZNYb9ifsGfHu6HTIgBAB4%20gXAKBXwdL5dW1HZrmcqoGXHayt2FNTex6Ir1snpTtl3Dtelc/7YSKnF/PiLOywxnJYQ3IcK6GABA%20AuFUuAJnLfmsKadrERjK9AYy1UCos3JF+m6jRytVKZ+VuC+fBDcwnBUAABL4cQeHtwA/XnWN4bTq%20OHfjlun4ZFLvnFRf4rsl+FhZAQAcgVKmtlGWneMZtsnO9c7RV/Vlr8pYAIVkPp/X63W8QAAAACQQ%20AAAACQQAAEACAQAAkEAAAIDTk7ndYdydQoD6BAC4Mgk8w0sRV2XgvL8UwU8UAE4HA6EAAIAEAgAA%20IIEAZ8OKl6tggzsAQAJ1hLYAVR/39ZvsGhpXKx6R+tnJkabq4myQGCUibAX3BruLZp2mmFo7bk9F%20E3sBABIY7ZdVTB7fZ7XLshOoYNXUdcHhS8DBXC/b060+OpGUK1eOVL0G9WjzfB+ywbpvK1e1dx8j%20gmEreDcwW2PD3ZqbGEkAgATGyl+puVIBXL2kyajdd4LzlLv99i4GXfwl4IrQ26pWMWIOqhhIbniI%20z63aaOJ3+e7H1XbQBk6sI6lhulBJOiso/bWvCuVv+Yby7AfEEACQQA8rnuqiawSTPL9B9sXhPl1z%20CXgi5MS6TZ57C8bzs4PEP1SCSvrWSRoI1VjBr7/lm6pYvW38J2//P3t3r5s4EIVh2Eh7KViRCy7A%2021CDUlBRUpI2FFtSuUxBWigpU6WIcE2TXAAFisi9ZOeMx/bYDNggQX78Pt0uTrKZ0c7HmTE+S29U%20q/UuADQkAo/XNI9/VemwrNWuFUkIeeFsZ7rdBpErcfQZnz/xspIsCcDyIL9NtoNPs6eZboTmLXcP%205a+rzCf2ABCBp5KDpqfh7pUArE+2OrMBU4VYeQ85vUaZbn2dTe4A9FSSmoiUb/P08mGKuWPT4Qeh%20q1pUPykpJ/3tlNkEQATWKP9acmMFK+bF9Ab6kFV2RM3WqdzZsujrOk+2Mc8IYCtzpR7t3LRNcDrv%20zgEAItCVf/6ks2LBPKtyzrcdVQrlx317r5pDVlMTJneJht7YvO3oDTqThzj9NuHwttZbEVUGLiL9%20E4pnjQBABNZMQLV6elKOFD7dxqcAa5V2c/k0ghm2kbfU7yKyoSu8GgVH95h785XXP3X7UuXpqqNL%20StnC5i0MgK/W+laPUVaL4xUek/2jnxzdqF+2UZMF/Err9brb7VIFAgBABAIAQAQCAEAEAgBABAIA%20cHl/vts/qNVqMSuMJwA0MQKv8KGIRk3wT/9QBP9FAVwOG6EAACIQAAAiELia+K66fyEANDgCS48A%20zVbNI8smTw09NCrFp6seeMl6OX9h7y8qp6E8C3G5z258Jy0/xMrrM18AiMD9MkEa9Virarpq7mYb%2097JZ+hKkdtu38erT2Z3Iagqh8micdgSM7+SZ1ulo6+g6cGXlLOQzJ8/jTiauN6flBwAi8GD8tfqb%202WoWFpZqs2q2b4fh4jmu/BKkIfS+kRZI1aOuBjDpk2v1QmrfT8flJrvWldWzIPmbdEgqTZyuDdXV%20/whDAERgTvdTfb0/sGo7284d/5LGF4GmAe6R3cuPx2gxnppYs5rCy98XA7RwZeUs2PkrTXc37x/2%20xZ9Lb5T3KwQAIvBwPSPnUf7Eo3I4rQj0wtnOtMANImfixA+FUVXxNN0mbeOfhsUegqUriz13nfnr%20KjiJPQBE4InMeZRanVlCTxq0LMSkvitta+pMel7YXeDlrUYUJKkpUWjflFS8Uqflse65fhC6qkUT%20sCc13wWARkdguoIOxq51HOcq55oq3bI/q8G2di/3ErAygK3MlXq0c9M2wem6OwcAiEDHIm1vt8k6%20HHDsd87QqRTaO0e1737JSrf0LFAGO80tx5XV1PdaRPrnOw9xAYAIrCz85nJLvbmlIwqS4yk+BXjy%200I28pS67CkO3d17Xvn9ddcwdNP3NbJdVas6TvYoyMPtecqxIzQfgq7W+1WOU1eJ4hcdk/+gnRzfq%20l23UZAG/0nq97na7VIEAABCBAAAQgQAAEIEAABCBAABc3n8BBgA+mcJOQdHP9QAAAABJRU5ErkJg%20gg==" height="785" width="598" overflow="visible"> </image>
            </svg>
          </div>
        </div>
        <div class="fig"><span class="labelfig">FIGURA 3.&nbsp; </span><span class="textfig">Determinación de la productividad del mezclador en el programa.</span></div>
        <div id="f4" class="fig">
          <div class="zoom">
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Jf+ePD9M%20DzGaLJsj2e6qnmiyNgytqWX0TBp395kgztwB1etPyAZ3ZZ96Sf6H3N7YozPYI8+uf8eq8oeH3dra%205UQ4ywdSxoxoYWvgc7O6V/dDrFvb9pFkGbqtlj3IFOtx87+KAz8UWx6BDVNDBpRJ8/33i07ne9kd%20kUL1L//yL8kVoNpRwd9i3DkQq7izFc2odqywvuRG1E2f0EXM8XbVGvjHx3zKr57Csf3cqaewO0lY%20mJbj+0U7iBVuw/hXvXmlk5r+4UF9trtrJl0LXcqbabmSUNnkOSumJ5J3kB9anfxiWnTMP7SnVCuJ%207Ha9IcUtgany9GZ5Gm3MiBaWGjQsu8dXvffDPre2CtWJqK237+PmfxUHfijCH4FNU0PaCcy2/uMf%20//iP//iPww/+67/+69/+7d8m7y2AVIfn6wXNXipr5r40462sjPpMABDIfGOsCwAOoUzffvutsQ3p%20MGFByLsoXVphqz6dcoDEMIjFAQBAqvjwr//6r1gBAABSpEz/+Z//iRUAACBFyvT8/IwVAAAgPTDO%20BAAAKfOZfv7zn2MFAABID7zPBAAAKfOZ9P/74osv5L/9fv/6+hqjAABkg7ObSXBzc/Pzn//8g/OZ%20sB4AQPZ4e3s7l6J+++23az5T3joRWpa5TC6TEnKr5OEyn56ejl+Sn/3sZzvt/2d/9mfO33lUpoPy%205ZdfBn31ww8/pPZWdqK47r93jRLsHwp2Wy+15gI4mv552pOzeyi++uqriHv2+333xw/7mClBezln%203nqqkKY/2VLF1hjfifiGYcgT7lQkZ39dEudYz8dE+OKLL5xnyf13OPIJdN9Y0VUtxM7aeIaRC5Vy%20q7s0nfPR/fdW1fecBG3YsyLiGfOLL76UN62k1+vJ+1ffvPLvT58+7XkbO82JPv/ZEU+kf7S7mbzs%20pBYhTbBGnyr8hN99Z1ezL0HasGuRFgHEPqdzddFt4hZsxzLOZabkttNoodp1uFVejnx6ZYVaz7N6%20COXjJ//TZtbb5b973mBngZ6FtPl30JatJ0k6GNDW/zkf3V9treVwUlIFuqfl9Ld2upn7/Z66ae32%20YSH/kLfuzc0n3WLq7SxrEJ1konnS9NIniN1cug/cqfkOwkiod+E5z56X6ZaWXZ2JoKNko/DDD639%20r1RPy4zx5OhDdO9S++O7duF/+tNPv/7rqmspL1AKnL5K/Ye86u++U98K8Yln9YRo7ZF3mvxD1u+n%20Tz9133V6e8h9qB/qoF6dDidE8Sq2SuA+z4IUJP0UuJ+F6GEAuZvVozL6QvWxev2+lCXdxTKUUgkj%20fiuUfIVKm7urw2nonI1BW462MsOHpK4zYpu79RZMpAMle9nar9rHYUq2GjarfCcfS//tMZp8UBeL%20P9k/oq2fQ93ddgfoIh6rD9QniRHfk8IjxSmo6p1vDxS3iTeolqugmSNLjgj1er8eo5PkaQ33eTRC%20qil21TiC5P5XRA5uy93kdUjPSQrSz3+uO2q9nugbNzeOLOnI3k5dWyeen1SYZNPI7nrRf4ds2fwj%20vcoU/cZatviqD+G7c6riVL4Ok4g7zLPnU+fcmi65+i4RWXI/mU6ALnZD7znc6Ydu9Zm0b6T/3vw3%20ts/kmdzhltLo2qkP9IiuW59iN4juwuzTsThoEG/TX5E+kxC2Dm31Y9xdK99+95E741t9pk1xivz4%209Kz7/wflVipBMtw+U18F927k31/uEXdJqrnetTlyWr/jyJI4xdw827VdrLm5i+QicPs/imEOk+O7%207NSL0dfmdH+iHOvo0KYKWr/eTlaWNj2eGM2iO5rnie+FNNweEbJaPenwev7dtx+t/9VFdezmOItb%20Lakt4z5QHuUO+0SfNhIi5Il4gck6dtpJcnwmd1hP/y39J/lDEfUp5JmKWJjDDdXsI0va2uoqFgsd%20xxPyxr8Ra22cJUv67526MtLQ31n/tk7aa/d4UfGa1qCGLg3K5BWk9X9PL0shHQq3LO3sLS0W8pgf%20ls3QPu554rLktG4xFgHxnTvuxPectUVCGm6Ph6R9wXUD/qmlT/uKU2zx8JUQ+THeyNzRPKE9rzc8%20rOdIRezIgeqGW4/9Tk/T4eKo2mdybmmnZj2zmYMKIPfX7oQ1zrT4JHsyfXlOYyHsy5Tn0eK0E+0v%2021qQvvjyyz9Vf7dO20Lu4y1ttpwhbeDJfCZXQG/1b/SJwiHztWKPMG1VC7e3tNPjpPZ3ydI+szwO%20IUvuJ9Pt8ezjM0VvSjYCdz/166/9idSnfca39xmB2NVZSYo0vBOqr3FzYElukd7tzhNwNkMlu8Tx%20DjoDwlEgT9g24tCpngGhfCblLilBEtJzWsqSat0+fdLjTHoaakT+RPbJvnRaNPnHKZVp/yCeZ+w8%20VdG8lSyFSEgUddlnjsNO/uZO6hVYJbu3MpsidDhvyRO2iug8ebqT8Tr7mz7T0k+yNcn9cX/PKZ60%20bBrkELIUz0866DiTFVzdsl2bIpIqGLr1XvjG8fcffdmn/6F7Zo7n5HuTbw3/qstRj5AWs4VHg6Um%207Vq8PxXf/Yn1RPypODHuuQ9ij3HBiEMhp/GZtspSlHt0T2ELslpQw61vqV1nfnv07EurBYniMOnu%20oWyRHSmKGMqPF+ZyP37657bGgjYbxAR9JndAbx9x2iykc1Gb8xpCTvJs4b6WA+lBjG7HIRbjCDmh%20e9a4+w2n2D6TSMeb1JvdLOfecL7aWuO61dYi9OnmptfvG5afFG+gQjcU39lzjWWj9t2pPKZk5+ZF%20qe4T+EyJyFLIBSf74p4azLSbjB8i+lWbD6OzAIT0nL6Mei0ttzjpdvkQcbx9RiN8D0zWZ3KLU7Jt%20/eaEiCgK5945tSuwJTXCFLQygvOAeuZHRPSZxDKIt+vw8uFmQGz2z4JCAuHtjy6eCtvpyeJS2z59%20ih6+87QtLh+r1VLffneIxYqceXeOJ+S7xbNz1ubmHU6WDh/N8y7HEEOcdgoMusXpQLK0+Xx65kPv%203/GM4tovJ4V/SkSKDuSg5HAxfh2yc1THuSE3b9Q9faZ43tshbgYdtnUPnW6+LRCleO4L3K3MrsWI%20PAfaD8vCFX7aQ41CPoYLz3Hm9++sTPtP7g5RptPK0tYAaIz54pvVqVeRiBgVDGoLDidFO3kSe3pL%20vpUurzeRUSVI4olo+d6QzvadZkCo235z1lOaFkV0wrYhna0o4V95Re6w3iFm32SeD/s0Inu2Qfvo%20R7jHs884U7g/FEWWooj3Tu9wHG4+nq8UJTi1OpHWEFIrV7tWVvpX5o3Su4pykzuRvZ39vK2tx1mt%2067prECW+z5SOZ+OH1J48+uG77Nk6aCiJpJFnzUHn5uWQpB6HGH5SxBfwzwV3vqVcKBMA0LeAiHz7%207be7JvFL6ndRJgAA8BJjybE0YK8tqKeZMlIHAAAnx/aZYo9TAQAAHMRnAgAASAk/wgQAAJAqPpCa%20HgAAUoVx8lSSAAAAaz4Tb0IAAECqYJwJAABS5jPp/+dkxfYkYsFAWWUzQxpQvycvc85DOPs3uZmx%204WoNCN/reXt74yHPHs6qIdQv9Zu2Mucc1jrwKlMQT09PmCnN7LoilmeZReqX+k1bmbX3kAcXyvcy%209Yo88f49o8vcV5kg/Xz11VcR9ySCR/1S5pSTMVk6lM8E53I3YwTqlzJngOz5TCE4mVE9ub5QJgCA%20jPtMQXlKd12dLjzf6f5r3Tnn30GZDGPttVzPxz1J9myQeEXsuh3Oon6d/MtnV4lJNbVBJ4x+HveB%20nlzV8QrjiE14dmx58ujilNT6qIdeZ9U5/4d9bmvID9R7BjQp5HE+u0fbrQG6OdMf5b/xWk/nhL1e%20b6cJcs6B+nc9H/fxmWSN7Okzhbs4ESUnkZMEH9Ly3U40D7xNFf2PDPctwrvhecZ5l+jk87Yj+ky+%20/tMhXJyT5KP4sOvN7dtseWIC+qPe2X2gu+t9vmGEc4xyxL633FXpadqouAzUL2V2+PTpk3aYTl6S%20BH2mKE7PThWR+DjTAWdA+MYEnC1Oc+b543zDCGcU5djpdnFXjbtSPLVDxZ1p/Wa4zPsP7aTHYRIH%20GGdK0NqHvtnizIAId5vidcbh0A1B4ncSFZft+j3HMu8/zpQeh0nkbJwp6AxxfCZ3mC4RN4u25kAN%20wa43yta6oOLOun4pc/odJpGzcSZmQOSx8YrXVwjaAudbv5T5CA6TVDipbfuvypr4OJM4n/eZ9lUm%2039kNIvKo+P5eF5wEKi6rtXnW7zPFHmdyH6j1aZ8Z5/oM+7fRuXqfKYEZEEEj4SFfRfnjTB+M7DVS%20vluouGxX9PlWX9riVAmeKs/jTPFnQAAAQJSG+6BrQPj6TynX7+i/hTJlAVZrpn4p81l7bwfymc7B%20esyAyCibuW2A+qXM50uu1hoPYosyffvtt7smAYMjs08yUOqX+k1bmQFZ2qJMNzc33CUZhvqlfgGf%20KZ0YOkiqr0rPx+fOAAA4Pvu3wJnRJ9tnYggdAAA3N10+EwAAQEr4ESYAAIBU8WH/VZ4AAACSVCb5%20f29vbxgCAABSpEySp6cnbAEAAGmAcSYAAECZAAAAUCYAAECZAAAAUCYAAECZAAAAUCYAAECZAAAA%20UCYAAECZAAAAUCYAAACUCQAAUKYw5o+NS8PisjGaR9h/1Li0DzAuNw8ZNdT2x/nq9GrnxihGuWIe%20GPHYXffx2997sSlhV9Ptuv+ul73NjInV3T73DACkR5nmjzet7tgcLhZDc9yt3WxpbuSjX6x1y3ez%20hWJWF91a0d1EzR/vu5X27LVZyEHdJXyx89Fj45FGFQBOz4cT/36h+bpo6oaxVBFiPJ3JbcGd5YfW%20WJjDTrXgOXjzdJnjwBcruwi1luwidDJ+w281WhSrZvg2A8BnWmsZZ9OxEOZ1NWSf0XM3ZJdVWFAF%20Bv2dL9c+l3bQxR0aCo7GKIdiGXS8fBwFnPzSPvPL1HPs5WV4uSKcZ71svhdr7/K4/E5e4sgVKg0p%20j3JdpfmlC2r9hLbJ5aXzi8e9/O31qBg8RLo031L6mHF5Fs8OvhfuPUkyFw4ADr1e75tvvlmcmKEp%20i1Ixh7OwnWZt6VUJFfkLOoN9An229sx70Gqf2WqXoJ03DlweGVAK13mGZkWsH1tpe341+GqCzuN/%20IWv7613scuq/tU31iULLs1Ycfb12QQ9z+UEVG1SPG7/l/Nhqnyim3no/RKn3jX1iXjgA+JMSn6na%20kY9y2TNotPMZZtfipdG4vKxJ10oHBn1droIQBbX7IuoIjXVgpX2rj2zeyXame+8pqN6nfqXOWL2t%20V7zb9bG3skkbD17m235r8zzRL9a+wouyag3rVqGLJbF7eexCHPfyo9TjWvGKThA4nqnD7oejXjgA%20pDCaJ5/ra/nkhz2+urENamYal0axdj8tXff7uqu7Ecd5n8QMNFoHli8KMfbR28etoo7qFFXMLKit%20jfpbUS42/PzRy3Pkyz/mpW29H4574QCQSmXSqId8Gbj3zgy2tKv7PPLv/6q5Ea+dZrWgW4lKqbiD%20sIWhD5y8z2PsY7su64GcTnWv34pyseHnj16eI1/+MS9t6/1w1AsHgPQo03w1/2C+mt+gpj5ZeMMr%20VlSkW1u+xKQVbCVfWrTUZGrfKJAWNh2OWf2uKxw0fxmMg7251sPIKqZ1evPOWzSXx2dNIfRst4oc%204X2XoPNssOVit53fW56QdvqYl3+ISwvdf+N+OOWFA4DNqWdAqJFlOzi/bQbE8gDTCeZXXIesNlfM%20tvrbZ2RffnLtNZytH2kf5zPKbRVzeWRFD2sHzdDwnsdTYudXg+dz+J/HM0XB72I3ZzH4zrbwL49z%20TrllY8Q++csPnNoSUI8Bsy0iXVrQDAjf+yFKvXtPEvfCAcAfQyrT29vb09MTIg0AAETzAAAAUCYA%20AECZAAAAUCYAAECZAAAAUCYAAECZAAAAUCYAAECZAAAAUCYAAACUCQAAUCYAAACUCQAAUCYAAACU%20CQAAUCYAAACUCQAAUCYAAACUCQAAUCYAAACUCQAAAGUCAACUCQAAAGUCAACUCQAAAGUCAACUCQAA%204NB8wAQHxTCM3F77YrHgBgAAlIkGGgDg7CGaBwAAKBPEZdQwGqPAb+ejx8alYXPZeBzNA04wf3R2%20M6wTys3Lo/7g8nGOoQEAZcoqsqlPMpQ3f7zvhqlWsdbqlocz+ZOL2bA8adWK6yoj9ee+NOtURaH5%20Ohu2K2pbpX1bFaLakZ/b8tDXzl/1xU2Y/AEAoEzgCMuLqJvBulSTqmUOO9WC+liodu7kvuPWjaNN%20cg8xfG0W9KdCtdlX2qT3GD0+iGbTPrT5OhQ1tAkAUCbYpkuN54vmReC3z8qbqpSKq03FknKKxoOX%20ue1vTSz3aEVhqU3Fy/eLjvur6m17ck9QDwBQJghh/vh+vSYenq/fJxvbChdl1w4vg3H5ouDdRWuT%20lK/3uffY8XSG2QEAZYJAl+hFXFV93CgjZETIq1ZrDtWSmShXKutRv6XDNXnHaQIAlAmChOm51Sqq%20qXO1rujWjOW8hmpnsdCOVOGqbvk+bj9nNh0rPapfFYLP+/h+1XlVA1Kb2gQAgDJBMEqCLIamMIcL%20ZxrDCjsu16019FTxuZ4RUWn3nX094Tm5R0NcqW+rnVnb6zdJWdsM/gEAoEznTcJTxrdhzQQ3K92a%205VwVa92K2Z6tpuJJp2oVnlPvM8k95L5WMHD00Bpb2iUdMx0dnL9PfIN/AABHodfrffPNN4tzYqZf%20xVlRqZj6NZ41tIOxtrP8rDbbR5n/vdKeHayUwlqX6FTGUVfqZ45I7LArAEDynKPPJN0DrS9aWGZt%20MZbd/8u1yQC5fau00LTGjZy4niskOBS1CAs8SIeqJoYhEwEBAIjmbW+L9Xs53XveKtUSpMJ6Qsf1%203NdW7SykFIdf7ahRnN4t0CUAQJn21SZ7alqib5WGz8lOtz2qnVfbJ/ZojJTicNWR6oUsAQDKlDQJ%20vVWq52SvLX7qWgMVAABQpl1I7q1SNablJZZTYeQMHi0AyLkyHe6t0pg+0+aU8bxNreHRAoA8K9Py%20rVLz7gBvlSbmMwEAQIaVSfkxSousV0PVW6UT9T6TM7Sf0FulZzwDAgDgrDF6vd7b29vT01OWrkqq%20yvN1NN9mh113MetxF4AAAMBnSju8VQoAgDKlT5t4qxQAAGVKGal9q9Se72fLpv3p8nyTUMxHjw17%20BuNl43E+nz8+Mj4HACjT+TBqGMVWebic4if9tkF9tljM6oPiec63kFdQa3VF21pT9/X24uWm2JpS%20zwCAMqWK4OkPalxr0p6tXLXRc1dPdlcTCrvP5ydNesa+OXxdrkRYbb46q7kDAKBMaUetm2SWp0Un%20lufKiF64KAufpSiivemrZrhbsbSGFVa7DFoH0NpnZJ/V2ms9sri+/6Xza3qvzdPOH+/V7H3PrPtq%20h7E7AECZzkiYxPW1lUSpay9xHpqhb/74MC2bFm3TrEhU3o/Ndr/asfyUsbjuqNUBx62HTaVZvmTc%20da9fq4q0TA/iEab3kv5l8f44svZyvcnsgfS3AIAypY3oK8VVSrfVqp1EKXixPucl30KzI7kuSUQp%20eLfV2Yth+yi3bJuyOPtXm/q3r8W0VWuN3eq18bvBVwIAEIMPmGB/FotFRGWylk1aORhqnfNnvUUF%209srXBdu9cQ9Tzd8Hrda4olajXfdO1nfzZ22fYkk5TaoMS5mzFhx0C5r3nPKbiVC/7VqTcLWPGh1r%20jceeqxLz+bxQwI0CAHym9IuTNctBx9JGz11r/dnqtam3zF8GwiemJpbrKVXqdfWhW9tnfrmdx6r7%20/KAmz40HDw01TBS6EG5BxQiFqAdE8uzcIt3Va81qjcIXgSwBwD70er1vvvmGtPOJrK7t+cOH5bw1%20c7jcMlumgp/57W9/K3e3//LdcXnWSttOLO/+Ae8Jzcqq9ium/8+uF6ASvpNKoVuJfEIAgG1kc928%20U6HdpvSvmDd/vCy2RHv22iwkticAANE8OIaEvQxEpcLcOwBAmc6WzK0vPrNWcwib2A4AkDjMzcsj%20Kh9iM8qO1c4rL80CAD4TbhMAAMoEAACAMgEAAKBMAACAMgEAAKBMAACAMgEAAKBMAACAMgEAAKBM%20AACAMgEAAKBMAAAAKBMAAKBMAAAAKBMAAKBMAAAAKBMAAKBMAAAAKBMAAKBMAAAAKBMAAKBMAAAA%20KBMAAECWlGn+eGk4NEZCjBr2h8vHOVUazW6WuS4bo02DSWtKo4YYufEH2BkAUKZ1Cs3X2bBdUX9W%202rdVIaod+bk9nC1emwWqNMxui6FpWW22WCxmbTHu1oqXSnbcsnRfmnWqYUbu/FVf3Bhrh2VDthuP%20Szl2S3PGLhQAZTpcI1tt9lWzOW7dyO776PFBNJtVVGlHodIm7N47HtCoURNDR96DjSxlayhqmWuy%20uwPRl5It5btbM26sv2ftiss+AIAyRWtYW8XL9wvZyYfdTXhVV07RePAy127D/cRyj6IYuXrbnmSt%20yTbvtCgXS5Xl38pE4+mMewUAZdpNm2TL+h7QQm6MrBCcCWb+MhiXLwpRjVy4KPs22dgcAPKsTELM%20RLnihJt8tet14QX3KphKqRjdyNKzmPh0CbA5AORZmUaP71ed1zs1ph+gTfTftyj7dKz0qH5V2MPI%202BwAUCbd/o0aDXGlhgKqnVk7yG+i/x5uwlpX6tJydEVpz3p4LtzIUtY2g3/YHAASoNfrffPNN4tz%20YqYnM0vMoTWTanU11gbYZjebSsUczta+1/PJIxl5bW8AgAQxpDK9vb09PT0h0jBqGM/X0TycHXYF%20AMhHNA8OQbUzFLUICzzMHy9rYogsAQDKBMfQpkVf3ITPWBg1itM73CUAOBgfMAGsU2i+drapF6oE%20APhMAACAMgEAAKBMAAAAKBMAAKSMs5wBYRjGEX5lsVhkrLKPY7ecGBMAUKZjt3QnbMSzpxBZNSYA%20HAiieQAAgDIBAACgTAAAgDKlgVFD5wcKWQpOpRPKc/qguCbybHRlZSIZEwCgTCENak3ohA31QdG3%20vZTNcrE1zm/txzWRd+OoURzUZ3b2jEmUNWEBAHKpTLPp2Ly2FngrXNUr3efRprNQm7SH3qRFeSKO%20iXw2jp67TvrBQvPO9CQgBABAmWx/4H1SKRX134WLspi8r3fkqx3Zw39tFnNc+bFM5LNRblqtPC5l%20yjkpAADK5PEHqN5jm0iFByftfrOAcQEAZdqkWKpQvUc1kRp9GtRnr+gSAKBM/hQuys54x/x9IsoX%20NJiHM5Gam6cmUyBLAIAyhXsE3Xtrltj8ZbAc6YcDmEjKUrFVHpLmFgBQpm0eQfN1WG4VDcOKMelW%20M+9vLx3ERErVhOjWDINXmgAgCYxer/f29vb09HROhTaMI6zomsm1xk+1oitrjQMAPhMAAKBMAAAA%20KBMAAKBMAAAAh+Vcc9qSJhW7AQDKlC7Itp5OuyGHALA/RPMAAABlAgAAQJkAAABlSg3hy+2QbT0k%202/ryS2e9IVdSdb+FiFj8CQBQpkgNb0g+dbKth2RbX31ppVC3vi00XxcOQ1NU2rdVjAkAKNNO7kBw%20PnWyrW/Jtq5UyF493C8X+6jhyhGIMQEAZYpEeD51sq1vzba+2nEjR8b88b5r3jnJmDAmACTIB0yQ%20a5dJlLapl8q9NBaV9swtTKOHlljfAgCAzwT7EyXbuj2ydDctuuZIjJ67lfoV2WsBAGWChNkh23r1%202nR2RZgAAGWCAzpNwdnWRw3XVHIlRsshKTU8hTABAMqUELxws+40hWVbr3bUVHL7taX70ux1Od9B%20DU8BABwOsq2f7Ccyabf8GBMA8JkAAABlAgAAQJkAAABQJgAAQJkAAACCOdfViUjgjd0AAGVKF0eY%20NZ7J+j7VrHGeNACIDtE8AABAmQAAAFAmAABAmVKAWgLOJnCxvLyvpKey0SpcOS787LdhQo/dopga%20ACD3yjRqqGVKVXKhxaw9qfk1vbJZVmnxcovUk5oYWhaqD4obkqKSsVvfWnSqgXaLYGoAAJRJ5W1w%200oEXmneu9EIrZ6E2aQ/blfzWvpIenfqicFWvdJ/XpcmdjD3UbttMDQCAMllUO65evju90Or7xeK1%20Wcxx5bulp3BRFpP3uUe3xq2iN0bnY7dtpgYAQJm8DfDjpezk95vkutt0mcJ1S1TaOka3mJXuo8To%20MDUAoEzbUUMig/oq7R2sKJbCIpmF5uvCMZs7MTumBgCUaR9nyVAj/LSVAdrjkhvlIZUvCpgaAFCm%20g8pSsVUeuqeUwabT1L23gnTzl8FyMoTLBVoF8KRweb7G1KeNBARN9QdAmdIsTLKpFaJbW38fJ+9v%20L3mdpubrsGxNclBhOC0sjomqHTWV3DbejegH6o6/qeGAna73azX4J+vuBm2CTGL0er23t7enp6dz%20KrRhHGFF15MsfprJi8qkMdPhOl2+364FUFk8F9JGvGf/A4YDOFNhehZ3nUIyDcHxuinCWIi0d1Mo%20ZFIlFHF7SqybB3CWqJgeI3uQUVAmgHOUpcsbcVUVo0cGmiCLEM0DODNGDaPWlf+/aLSEOWQAD1Am%20ADg1aoGoDmYAlCl9MAcJuwEAypQujjBrPJP1fapZ4zxpABAdZkAAAADKBAAAgDIBAADKlALsdS9D%20F3LL+0p6Sxv5Lw6qrOP92tnmNqvvRgAAlMnbqKq0DFbau/ak5tteqoxCrXF+a39lI7V464aJRo3i%209G6xvnao3DaozxyzasXy3QgAgDJ5UInv7MVbClf1Svd5tOks1CbtYbuS39qfTZepL/xMNHruLjNf%20VDt25iW17c5eQrTQvDOt/E6+GwEAUKYw12Az+ZB+XVE2t8UcV/78fVIp2QYoXJTF5H3u/fbdE+yT%20Vlut1SYVyTredyMAAMoU0Piq8Y9iS7RvWfvSz2UK32Hcml4v7GCfNxOQigRO2v31HLa+GwEAUCY3%20KqYnuZsWGfzYoFjaEsmsLAVd5WUfvKwMqAboBvXZem51340AACiTP9VrBj98ZFvqzdIq8/eJKF8U%201r8NdEPVvIk1BfLdCACAMq0he/ArN4nBjyCnqXtvGclvKK56XW49jJa6ValfFSwFKrbKw8VaYiDf%20jQAAKNOGm9RRM6Htd2zuSzrIlPe3l7xOU/N1WG4pI6kwnBYWl4mqnaGoWfYrTu+0/aSACdGtGYbr%207SXfjQAAsTF6vd7b29vT09M5FdowjrCia8qzVp/RRWXSmFRxzBKSyDw3hdTZ1uPdkKxOBAAA6QJl%20AgAAlAkAAABlAgAAlAkAACAO55ptnQTe2A0AUKZ0cYRZ45ms71PNGudJA4DoEM0DAACUCQAAAGUC%20AACUKT2ELpaX95X0Rp7UgGuGWWfNTF67ObuTbQQAUKbtunTTGgc3y8XWOL+1rxL9iaGdGrC4LtB2%20ZivN0FzlavKz26hRnN7pPcutG7QJAFCmcF0alM1KgLNQm7SH7Up+a382Xaa+KFzVK93nUZCAuxLV%20+tlt9NxdptCodsjRBAAo0xZdqvdvS37fySZ0IRvRPCdtUlmXllmrVJ7Ayfvc14j3XfPOURsfu1nn%20eW8QzQMAlCmaLtGBD3OZtu80emgJVyAvgHFrer2ww4JE8wAAZUKXYlIsbY9kqmzAVjbbcJxRKJXB%20ffCCNAEAyuQjTC+D8dhK12oN1ndrhJk2UCoyndn2ep+I8kUhljCpSCAAAMq0tdVdTS2btSvCHDIw%207+s0de8twVZCvpzE4Nb390kUj6l6XW49jHY5AgDOGsNY+w9l2s+TyvnbS5vyPSxbjmVxUJ91qhsm%20ijQSpaSpMxQ1awJEcXpHFwAg84J06N/p9Xpvb29PT09nZRzjCCu6nmTx00xeVCaNeayeVLE1lg5/%20p+r7jai0Z2sdgfSbWrZqC5H2m4FCetXIl213mmH9L94N+YGnHyDFTu1MXD5sfjF6Ef3FAt8UUihI%20iYAyAZyfK3Xfao1bUx9fSndUU9/ZP4NmOa+FXPid0lis/yzKBAA+rtSiqUcExYY4pTwMRaAsvYXc%20dJKW7tEibgljl4W1xgHOVZ/6bfHOqxCwvyB5JjVIQdL/nQ6UCeBcmU3FBWNNsI8aefykUwuSw4ez%20NSwJvLFb9hk1rEXdL0vWFLxRw3i+XnSKel6eUG/pdbAR7CRIvqRvPiezxk/2E5m0W36MSRXHLCHj%20TEcu5OnUiFnjAABwlu4RygQAkD9BOsOIBcoEAJBFTTrnEHq28zNdGisClsvL+0p6o6CEf+vWc1lw%209YXLbr4bAeAIgpS+Od8oUxgql/hwueC439vyqlnWk5xyitSTmhjaCf+K65riWqx9sRiaywxMarJY%20WR/SntRsPZMbB/WZZyMAHFCQ1GINaZ3zjTKFNbuuXOIBzkJt0h62K/m9u5V269QXhat6pfs8CjKV%20NJROwqiMaicJLDTvTJ0k0JX5wtq4zPkEAIf2kLLiJOVHmWSza6cO9I0xVTuyi//aLOb4Lndrt8r+%20N/FdUGD+eN8178IyW7jy2Kqdw/oDALCHJrk3LET2BCkHyqSStFbaMzt5YOmeGJOfdm/fafTQEstU%206lqE7CSBSoRWKn831fmDB/UZ+ZkADuckZdFDypMyqXESp4105xWHJcXS9kimN916taOGkpQI3Yg7%20OxKqpj/cl3QnQCkUkyAAkhYkIfIgSDlQJtgu3i69Vi5meXMRNq8widXUiNemmI6tQ6Tv5exUvTYD%20ooIAEF+QcraKSnaVadRwzYSW7a491A/rTlP33jLS/GUw9rGQa27Dhlmt8SfrEHma5TiTkjI/hQOA%207ZqUe0HKgTJVO2omtD0B4kb0rVnjeX97yes0NV+HZWuWiBof0vPq10y0ORJV7dhHuA5Zncaa7jjr%200AcAiOkk5VuQVoZhRddT/UQm7ZYfY1LFMUvIiq4imTWE0m9JVnQFADgHD2lvQcoJKBMAwNE1CUFC%20mQAAECSUCQAATUKTUCYAgLRpEoKUK2UygjI2AnYDwElCmU7CEWaNZ7K+TzVrnCcN0CTIvjIBAKRL%20kxAklAkAACcJZQIAQJDQpGOQ7bXG1RpwFsHJmfK+kp5K7RtoIcd+SxOtNhjrXyxPY7AsIWRSk1hu%20FWVKrtEtTu+shA3DcuvGr+WV7WmxNc5v7UuhqYmhlVqxPih6NUXab1C3si6plEyWdC0zYGirmkJn%20Xl+dxtoTbYIsCRLLraJMyQrTc3eZ16HaWWwkWlW9/NqkPWxX8lv7s+ky9UXhql7pPq9JiisDRqF5%20Z3ozL44a0np9y6pKr+z1xX3OA3BuLAyR56x9KNNB/QHZsJbeg2NVUq1U9rtijivfMpFtgMJF2ZPx%20T+UVtLMuqVRMzp5iucW820yrHpDnCeCs/CScJJTpgIxb0+uFHau6eSTPqo/LFPa11G6VO91OxbTm%20dI4eWsIK5K2J1aXcc3M7wLkI0qYmAcqUPJVlI+nq/sOKYikskqmU5r5kjTNZCuUaPvLJwe6MQcld%20L+kFwLk6SZYmGUgSynQoVHgKtpnIGT2av088WdKlR+XIT/XadMX6fIXJ8bSuN4akAM5AkwjcoUxH%20oXpdbj2Mls1ucFOab6epe285OD7jQ/JLx9GUWrTSrQ1rjhqugTwlW6UitoVz0yRAmY4kTZ2hqFkT%20IIrTOz1Mkve3l7xOU/N1WG4V7ZEkPb3OMdHqS2sSo/218BmeqnbUpHP7fab70uy1SScA0CTYp6J6%20vd7b29vT09NZ3V3GEVZ0XWTulj3VRWXSmFRxzBIKQ6rBCQTJQ6iVTlPIs7DkjiWU/4t3Q7I6EQBk%202knaRZMgJfwIEwCcG3qVKOLS2zSJCQ4oE0AOxGDJZcM1M15+JUVibZFBex3Bxv9qHGQKfaH5Osvz%204iVxNAnOCqJ5ABHFYDi1poK8NtWSgrXiRKi5HlKQbkT/tSpE9XVx0TBq1tTE6u1weFutFuyJi8ec%20FKJC+ykXjoOVcLF+4uVrSUYmzXguhcRnAjiSSlVvpcdizakfPQzqfUd2qp2hKcatG6lFliwJe+Li%20wxHjbotV3CqN/x2khIbQ/3n8pHQV8iwsmXQJc6dMxoHJbpzjBGRRm9R73OPpbPQ8WX9RTmvTeOBa%20glDuyyK3RwrcEbvDZzotiwOT1fpenIIM2lEtmSF83ygevZdM6U+1XG5S+CpQkIgmMcEBZQLIN/PR%20Q2ss9EIYa0sxzUejYrPZ6bcroltrjGy/acvKuXEYNYqtcbeWzxUKmeCAMgGAFp3Hy1pXrV9fNIxi%20bWK2rVkN1WtzuZ6gmo5XrNXUovZairo1vbat9K8STwxi5XBZLPK22gaalJ+qZg2IU/1EJu2WH2O6%20FEvNzQuUiG3f583UMVcu2BxMSmEhz8KSxy1h7DUgMuszrb9+YgS+l5j3lfRGwbkVxforOqGGc5k7%20Z9YsNF/74ibookeNI8pSll0l/KSckVllsrMFaYbmKleTp1kutsb5rX0VoRJDO7di0du6qrGMsv62%20PfEMacwfb1yGk3sO6jqT0+auuRCnTkC0rtpBlvbUJEeW0CSUKWtuQW3S7nsbCOUsyO3DPL9KP5su%20U18UruoVz9RmlezClvNC8850p16UujQom47hRs+rzOvWruRngiQ1SbDYHcqUQb/gftVurvVmrRHk%20PGcSUtqznPisXtCZvM+jWfRmUO/fltymXPkM5GeCpDUJWUKZsucwPbSEXyAPts1mVhlv7bdylLqv%2061JAiEqFB338UwA0CVAmlzCFJQbPO1veAK121KCRmtRwI+7soGeYLqlRu0GdvIGAJgHKhDDFRnlF%20yyEhtaiBk0/d2cGeRvLaFNOx+lYlZR/rPLdq6ki3tpzTp+bmqckUyBLEkSU0CfKkTGogBWEKdZq6%2095a0KMnxvg5qrZJt68591/rWNeNRZWEwtRRJWbJm8XUyHDTVnfpD/IerhCZBzpRpYyAl728viQ2f%20aFi2XCAVhtPCsjJRtWN/6frWV/+lqqkVD7a9OpaNTj0krkmCqXewcYOwBsSpfiKTdsuPManiZGQ+%20laVlDYikShh7DQgyBwLAKWSJzgqgTACAJsG5wFrjAHA8WTJQJcBnAoCUuUpMJwF8JgBIkSwBZNpn%20MpjIi90ATQKUKVUcYdZ4Juv7VLPGedKQJYDsKxMAoEmQVRhnAgBkCfCZAABNAsipz6SWgNu2kBsr%206YUZQSX+VazlT/fd6Ng6b6nWkSVkCVCmHRg11EKkelnsSc23wVQZhVrjnN8CgUZQaQDF0DJgfVC0%20lct3o7L19M5agnxYbt2gTfmTJVYKB5Qpmh+wyoBRaN6ZTiIid8+/NmkP25V8q1KwEWbTZWKMwlW9%200n0eBW4cPXeXKTSqHXI05UWT3LIEgDJFQqXFG7w46YUqpeL697IJVSnxirmu/jAjKGlfGk0aU0ze%2052Eb3xtE8/LnKiFLgDLt3ureTZ30QnTkd2UjuVXgRsm4Nb1e2DE+onk5kSUieIAy7Ywakr8vWeNM%20lkKRMHBHiqVKxI2SSvu26nVVIeOyBIAyxenyO5nWq9emjjtBdJTGLAfn5u8TUb4oBG/EXHnQJGQJ%20UKYEuvxO53303NVtKOxmwe69FZlT+dTtKQ6+G6vX5dbDaClXTocAsucqIUuAMu3X5W++Dssta5xJ%20TT+bdVQbyttLW1mZaGVBNVDXqYrAjaLaGYqaZeri9I4hvazKEgNLcLSbrtfrvb29PT09ndWTYhxh%20RddF5h7CU11UJo2ZlypOOoJnqNyBab8ZKGRSJZT/i3dDsjoRAIRqkiCCB8eGFV0BAFmCdIHPBAAB%20soQmAT4TAHjQq+f6rKthr6B7gBU3kCVAmQAgRJf06rl3U++6GqMX0V9YK0slOw8SWYJ0cK7RPBJ4%20Y7fMM3+fmNcdYb0vdv8ybzoqNH+8b7XGrelwsZy2765iEbOKF8vjjIV1msPdhOIMbkIKiTLFeooO%20P2s8k/V9qlnjyEwM1CKFF35fFJqvi6Z+80xsiNMeM4mNI9wiTMjOTyH3EU6ieQApJWiRQkef+m2R%202Jpbhi1LmB3SAMoEkFIKF2WdAGv0PPFd8Wk2FcmsuYVTCygTAERiuejTfalvjTGNGtbCUU5m++dr%20n3Gm+LKEwwQo0zFwnuCQtfJYSS/MCCO/dICOWe2tKzMbW80Nu2qTewae/KSkSA0zWSSgS8gSoEzH%20ZdQotspDK5tde1LzffFDNrzF1jjnt0CgEaTi6EnLKh1gcak20qzTO6tdHJZb1mRmp6G0NpqrXE2Q%20cpAlQJmO7ge8T5ZNZKF5Z26ks1PuQG3SHrYr+ValYCPMpsssF4WrekWPeKiEIvZG1YP3vk4zasiz%209Vlr/KxAlgBlSg9WnOS1Wcx19YcZQUl7yf5G5Qa0Ui9aG9/9YnyWk3XfNe/QpXNymJAlQJmOisq+%20aqezUy0mVb0r6m0aP8at6fXCjvGtLU0wemgJAnnnJEsAKNMJ/AE1vqT69jfiLtcxu3gEvU3jDCMp%207XfFSEfPXbLZnpcs4TABynQKt8kemn9tiumYbOsxnM7pTP89f5/odPUqrOcPwnRmIEuAMp2CUWM1%20rfneGbaHXZym7r1lwfnLYDkZonpdtmOk1piTo0VrHyDtDhOyBCjTiah2huVWUUXzioP6TL/6wdtL%20W1mZSLqctgVXBly9/Sm3Tu9Wc/OCRqUAAHbvQfV6vbe3t6enp7Pq9hlHWNF1kbl+5akuKpPGPMsq%20ToHDxGKp+SmkYf0v3rPP6kQAAJAuUCaAvPhTJ3eYAFAmAABAmQAAhwkAZQIAgIxxrtnWSeCN3QCH%20CVCmdHGEWeOZrO9TzRrnSQOA6BDNA8BhAkCZAAAAUCYAHCYAlOkUeJfFGwWkuAs5JJeEG8Hzrfpo%20s3EM1gQAlMmNlKFia7zWStbE0E5xV/RtL72H5JJwI3i/HTXU8q46c2B7UlvT/PnjTYt1XXGYAFCm%20lXNUm7SH7gSBs+kyc0Phql7pPo+2H5JHVQoxgs+3o+dVPvVC8850MjhZujQom2RoBACUSVPtWAkC%20i65NKmFQyd6g8t1N3ufbDskf4Ubw+VZu6lRdMuWYWOlSvX9b4pHCYQJAmQIhYdBhUcHSSbuv/Set%20S00SBwIAyhRGsURg6WCo0adBffaKLuEwAaBMO1C4KDuDIPP3iShf0HIm5SwZamqJk89W5WIf29mD%20W2PRrYXNhQQAyLEyKaepe281karptCdDwN6yVGyVh67BJisr+8Jm1q4I0yVagMMEgDKtOU3N12HZ%206sqrwJNuSnnfJpJLFGgipfFCeUVG4CtNcGqkJiFLcO79q16v9/b29vT0dFadQuMIK7ouMvd4n+qi%20MmlMqjhmCYUhlTPtZqSQCZVQ/i/eDcnqRAAAkC5QJgAAQJkAAABQJgAAQJkAAADypEzGgclqfRun%20gMcscXR+F95oBpQpXSwOTFbre3EKeMwS1yWd3+VueoM2QSb5gAkAzov5+8S87sg/qtfl+5d5c33F%20jfQ7qeoll/RHFygkygQA0VHL6F8E+sTYBzIAMyAAzgyW0QeU6azwXfMtfK08VtLbxUTqz3U2vmAh%20vYNTuCjrFM2j50n9isVzAWVKMypnUGscZWPEb3PCLiZyLSu+WAxNUWnfVq2d1KK5erHxSY0ZY4em%202hkKtarufYmsWIAypbt1NWqT9rBd2bYx4rf5UaW4Jho1nJS2KrG93XcvNO9MJy0WHFCbVD/AN9vI%20GUwotz3sFJZRl2zl96fSmN5Cps+e2myrAsUw448y9KC+NovbN0b8Nk8NXBwTzR/vu+ad3TCqJI2D%20l/lye6WUb6OeuE1I/4Ty0YvoBwrraSk0X2erjlhKjbleyPTZc/74fm0FVcoty26xzMgMCIjTtjy0%20hA7kLSXsbqqT2q5ysMMpGgU1oVzVS/W6bHcW0ueW3LdaxXMYjzwDY6bSnoVm02oaqtdmfDOiTBBD%20mJ67FdfQuwom3JescSZLoZgEcTLUhPKUo8cqZ6X71N8nZ2DMVNtz9CxUWCWeGVEm2FeY1K3nfFb9%20pMk7UyBOxNlMKC80+22R8vvknGbnp8+eKqZnZRKPZ0aUCXa+5VYTHpwneDnOpFRLlC8I552qgTqf%20CeWzqUj5fXJes/NTZc/54+WNuKqK0ePjPJ4Zc6ZMvL2UgIk2vPNC83VYblnjTGou36xTxYynIvUT%20yp03356v03ifjBrF1rhrv/mQVmO6C5lCe+o3TcaqRahNpVrGMqPR6/Xe3t6enp7O6OmTF3noVViO%208BOZtFt+jAkAh4NoHgAAoEwAAAAoEwAAoEwAAAAoEwAAnD/nmjkw/Yk7sRsAQL6U6QizxjNZ36ea%20Nc6TBgDRIZoHAAAoEwAAAMoEABANZ8UftU6XnQWPRc1Qpv3uqM1Uj6H3FSvpiR0t42tV+/HlCYYM%20oBJLDFVuIZUEs3o7HM4WCxaDRJliotcRdH9WaeyspEGz9qTml+rXewhstYyfVaVW6aSVehvaBOdP%20tSO1ady6uXycVausnY8yxW5I1SrXQ1cO4tGzKx14884cT2fbDoGtlvG1qupi2l3KwlW9ope8B8iC%20No0HZBtDmfa4iWR//bVZXN+0csBVrrtScdshsNUy26w6fxmMdWplgHPvor2XzIr0mx7oaaFMh0AF%20mybtlKaryY5VrfGnYku0bxEmOP/7ezQqNpudfrsiurXGCL8JZUq439Mw1MDIK7p0aKuqmJ7kblr0%20G9IDOKfb2yjWajfyPtZpMrs1buoj8yHLFyd78cVWebh4pRN/PKtWr83asxp8wlJwpqh4dsf+2/Un%204DMl2IAy2/PgVpVdzFWP0mfwCQAAZbKa0JfBWHnhhuF+0Ya3l2ILkrafr1WrnVl9ULQ33JcInQLA%20fhi9Xu/t7e3p6emcCm0YR1jR9SSLn2byojJpTADAZwIAAJQJAAAAZQIAAECZAAAAZQIAAAjmXN+0%20JYE3dgMAlCldHGHWeCbr+1SzxnnSACA6RPMAAABlAgAAQJkAAABlOgWeZfHUYvar1d0iHQJbLWPl%20YfKadbURYwIAyuTWoWJr7G5Aa2KoMgYtZu1JzbfB9BwC2y0zaqjETI5Z9Rrjq42rbQAAOVcm5R3V%20Ju1hu+JsUons7FwNhat6pfs82noIbLXM6Llr3tlLiRead+Z4OpOdgPdJpX5VWNsGAJB3ZVKpvhav%20zYC0QCp3g3ld3eWQPBNmGfndKjXTMhVT4aI8HrzMtad6T3omANiTDxm/PivT3VhU2jMSCCZuWelY%20zToFrVeiod9akpYmPRMA4DOFoWJ6krtpkdGPBFHDUIP6UoPU9If7kh58kpZmEgQAoEwRqF4z+pGg%20s2SouSUr12g2HS/HmZSlxeSdTgAAoEz+3fqVm7QcEYH9ZanYKg9dg02SYqmyHGdSlhblC8J5AIAy%20+blJnVl9ULRfsrkv6cgTby/F95OU3dRcEiG6NcNwv9JUaL4Oyy1ta2vsiTE9ANgHo9frvb29PT09%20nVOhDeMIK7qeZPHTTF5UJo0JAPhMAACAMgEAAKBMAAAAKBMAAKBMAAAAwZzr6kQk8MZuAIAypYsj%20zBrPZH2fatY4TxoARIdoHgAAoEwAAAAoEwAAoEynwH9ZvNDF8lhJL8QIKrvtank8184bW1cbWZYQ%20AFAmdzOqkgRutro3PltDD8kXQUZQqQHF0Eq6NGtParbijBoqMZOzVS/nvtq42gYAkHNlUp372qQ9%20bFc2dWlQNiu7HJIzVQo0gkq6aK8aXriqV7rPSppGz13zzk7MVGje6axX8/fJMj+Tsw0AIO/KVO3I%20/vprs+ijS/X+bWmHQ/JFRCOo5BfmdVUfsMpxscx6VbgoL/MzzR/vyYQFAHvyIcPXpnXptSAeqec9%20jHipYn2V9qy68YWVi6mg9Uo09FtLcsdVslsAgBz7TIG6RCO5JyqmJ7mbFt3DR2psalBfapCa/nBf%200oNPckcmQQAAyuQvTC+D8VjnWVV9/m7NYGB+D6rXzvCR0iE1NWLlGs2m4+U4k9pRTN6xNACgTIF9%20fT1frCJMd0sKUZB+0UrMl0NKVnCvPFysJVQvlirLcSa1oyhfYGkAQJkie1K8vRTZRNXOrD4o2m8p%203Zes0J3yRIVyQA33K02yFzAsa//UsMaeqpgRAPbA6PV6b29vT09P51RowzjCiq4nWfw0kxeVSWMC%20AD4TAACgTAAAACgTAAAAygQAACgTAABAMOe6OhEJvLEbAKBM6eIIs8YzWd+nmjXOkwYA0SGaBwAA%20KBMAAADKBAAAKNMpWF8WT31aX+Bt6yE5JcgIKuXtmvXWTbppVqwJACiTpxlV+S5WzKZjc7hccHzh%20t8zoxiF5JMgIKjWgGNqrtU9qluC4VnBfLIamqLRvq+4jbnJvTQBAmdyd+9qkPWxXXO3k+yQs77ff%20IXlUpUAjKBWy5bxwVa90n0eeQ+WB7syMKlVj2azwTAEAymRR7cg+/GtzTYeky2SnDvSN5fkdkjsi%20GkElvzCvq2sO1X3XvPPoUr1/W+KRAgCUKbg1fZ+ISntmJw8s3ZPSNp4Z1chSsSXWwnZi9LC+hdT2%20AIAyRUAFo5w0toWL8jJZOOxsRsndtOiSdpXhdpleHV0CgKT5gAkgAtVrs/Yspb3gCNNsJUwvg/F4%20XDRa9ueaMWnPyG0PAPhMG4waxqqXP3+frI+TwG4GVGK0nE6ippa4PCb3hL1ZuyLM4QJZAgCUybeX%2035nVB8sJEDeib00z432brTgmWjPgfWnlBc2mTA0HgENi9Hq9t7e3p6encyq0YRxhRdeTLH6ayYvK%20pDEBAJ8JAABQJgAAAJQJAAAAZQIAAJQJAAAgmHN90/bQCbyzOpfsJInPmZgHANlXJlo67AYAGYZo%20HgAAoEwAAAAoEwAAoEwAAAAoEwAAoEwAAADJ8v8FGADvw3AEOeVRsAAAAABJRU5ErkJggg==" height="554" width="563" overflow="visible"> </image>
            </svg>
          </div>
        </div>
        <div class="fig"><span class="labelfig">FIGURA 4.&nbsp; </span><span class="textfig">Determinación del diámetro del helicoide del mezclador en el programa.</span></div>
        <div id="f5" class="fig">
          <div class="zoom">
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OsonRO5j%20v98aCIy/+Zu/+du//du///u/390tcVY1Bre76oCQnTdOR4xohgY7vXE7jY7mVtXk377Lb1QjKD5P%20nz7P9jFbQDR3ol2XT9K7tWFiTbm9i8K468/08eaGSK9lRzboVjX1svsT+b3JO2+wTaSuzmNX+efP%2067Xl7kRK24eTxkxpYXvgOVrdy+tho0vb8fFEHgadjjPIt9Htpi/Fnm+KFbdAxNSA8qXc75e/XPT7%20vxSPU0II//Ef/3F3Gaj3Zed7edM5Lst+f7u3p963h1UEN8Z1U9O1s+F8Ctna6PsPNfmXd/nEua/l%20XT6Y7lj43PkbZaeTL9mGm5c6WtJpQ514eG2t71oK10jl8mZWre0obyLNWjPU07mXEy0TP5uVPfOP%20nCn/UoIHg3CX64qOu+rsxk1GGTOlhYXGjar+8e3w9bDNpS27Mo206qC93fSl2PNNkXwLRE0Np44Z%20F3X9F7/4xZ/8yZ8kH/zy8vL7v//7xG0HEOrzdLWgWc1kzdxWLN5KhI18PgCIZR4ZawSAPCrfDz/8%20YK5COHxYEE5d9M7tbr1HnAqA3GDSVwkAACfFh3/+53/GCgAAcELK9x//8R9YAQAATkj5np6esAIA%20AJwOjPMBAMCJ+Xz/9E//hBUAAOB04H0+AAA4MZ9P/fPTn/5U/P34+Hh1dYVRAACKQe5mctzc3Byg%20J/KD94luTwCA4vH29paXrP7www8H9flO7SHoMI8VFJNikkOKmYVi3t/fHz4nv/rVr9ba/8/+7M8O%20VmWnqHx75Ztvvon76de//nVmbxWvl9v/eeVRoS3bd5X7rZdZcwEcTF9D7Unuboqf/exnKfd8fHzc%202D4PDw/fffedsk90yw6UL65Z374+vJRXJpUgLbvN1cYapn1RxDRNkeBaWfL2Vznxjg193Qk//elP%20vXvV/zkZcYf7L9z0qplgZ2U80zwJFfQ/PQjTeV/9n1c+VYQSQXu2rIjNjPnTn34jLlrV5orrV128%20Xvu7zWXsNScq/dyxJyfbUzjVCqmnDdVmqmkrYotolOJay5+sXw1h1lKjhCZeoZJKTvDHH53LSEuc%209qybpUUMG6fplS69TfwPBJ5lvGJm5LJWqEtt3eF0URxx7YoKtdsLeZOL21v8UWZW28XfW15guUDd%20rtHPcVtWJrLrhqan/nhf/T+trOVkMlIFXhuaIIfxLsuDvGid9mEhPtiN8neqxVTbWTZktwjD+h8s%20ouYVv8a12B92lQPh02zcHPsPXEse4jB39HQUSmfLYvqla11nKO4o0ej8+ted7UuqpvVucGeqQ9TT%20seqvWNcF+bu/++4//2f5aCwKKARUlVJ9EKX+8Uf5q7iGuc+PiNI2caWJD6J+v/vu7/xXndqecB2q%20mzquDVLdIWm8opUSu829oFwEccX674X03RhiN/uJzXw05DPcw+OjkD31CGdKJTTMzVuh3VeosLm/%20OryGztsYtyWbK5+olkfVlNf+iApVz9N7VD5llDRt+spLfCcPgMJLUH7hNg7fbqs5ekmt5SOqzyGj%20iYZgsfjT7TsT1H3udRGse6w6UCWyQf+nEDYhfnFV7/26p36tzQY1T6pT0ZM9T+QeHv7zBg9hodZ2%20m1sjoZo2rhpP8Px/G6k7/8VuohzC8xOC90//pB4ERbv7aN7ceLKXPPKU4BWsO1Cyllfgrxf1OWFL%209MNxUdqmmp1HafEHr0VKZgfKl/7CdRVFPgNpd85UP57W4TM2HWbb8q72Ln2fHP64E9kLPTcZa/bL%20R91E/+Hec/RKn0/5dupz9O+Nfb7Q5B2/VKfXZnVgSNT9+rdxg5vyLj1AIivdLL+/JXw+w3B0bqUf%205n900/oNGXEmvGs1Kn6pb58H+/r/tXSLpeCZfp/v0R6REp+/2aLfaFfN9brNkdf6ZUr2ovejGj3x%20KlQ8asQ9yh9+bqfj+i8C3QCL3fVQbn+rJzl8nu+11lOYKpv3+JbmWE/noiprn723W9mLemwbNLv+%203s5Q/2eCMIREzm5VhcMe+ntbP0D9rbLq2c1zdldaUlnGf6A4yt8tln5aUMKDwk682N06psrJ83w+%20f7en+iz8P7vF6aVsQJP7NlZmZn9DZdvIntfsyuE9u5/TEBf+jRFo42zZU5/XelQShv7R/rtzVK8g%205AVu1rTGNXQbo7TN8/lCLdLeezvXMmBI8IJ/H1/2Eh6I/LK3tre3WIhjfu02c9t0X+xc9rzWc4NF%20fLTvNnj9n97aQAnCEPLwlC8bNODPbf3bVvw2FietRImvm42MHsyT27K8yd2enhRt3PMh3Qj7tl/r%20btpfP7Py+bxL2qvZ0Gz7uAyI/ZU7ZI/zLb4TTfGjSNNcGE4xRTpK/Nai901PCd5Pv/nm5/Jz57gt%205DbeXrTl3FL2zJ8Lc/7otQ8PNv5xviz6fL4Oz+Xf6SeyJ8z323iEb6Ua+b29tW5Xub9P9raZxbMP%202fPf+X6PbRufL31TFenY/Dvd8+afiut7m/kL24wArets7YosvHOtyhgd2BNbhHe+9gSraFfPOv2c%20e53h4ilcqFs75dC1muEifT7p7knBM4Tn58qeqdwTe5wvwRGJ8qeiTf/Ga9HEh2Mq3/adnKG5C1u5%20KD9K69jN/UJ+ttt9NVEu0z6fMGKCRKVRr23msKzlj6+ljrFVvn4rFhW5/Xl7oW69lM6f9uXTdZ2V%20qM/n+nmO5vm/bu/5bSZdUYPsQ/Y28/P2Os5ndz6v2K5MkUp1TKUOC+04x/ajX9s836gnP8/z017k%20K7vHZXHkLaTEchHSeDX/Yq1c/dz48U/tO+LnxpHxz20xthiXXXeoKK75N/70R2kU+SKUIT//uOzq%208F2lGfP5VspeGrtsKZxxtRInDOqSXffNhJBefmPXShqHTz3eihbfk7qUQymbdQP6b291upV9ZdEG%20d4c+n7/Dcxvxi2bSK1R03kpCIk82/rLsSW82eKzZx2I6CQn632rwv+G3sc9nZGOlguhjnHdteD+t%20rHGlCkrkRKP78Pho2n7eZgM5qqH40ZmrLv2aY3l8u53buZvqVh3JP/+5IdoH80dj8aPxmPREfnyf%20byeyl2DQ3b4YKwernSbp1yn9wujN7i3gIjy/b9KWpeMXP9Xu76Ofc5vRIO2Bu/X5/OK3Wy2JTnhJ%20o6D+nTO7AuSuRvjiVjbxbtDQ/JeUPp/hdnKuO7y/vxku0ec/Y/31tMT9rbL3ne1rKP9PfEnfvRlq%20W3w+Yqcjf/1xH4uZefM2PU9OuyW087Hndv4o+zp/bnt78rP0/L4zZFenqrXQogTHV779yd5OSFS1%208HIqG4if1hFMI357kr3o/R+ar7/9g3Oarg/3pYXvdiJ1e3KwTjCYierS9FTNuyCjF+qWPt9m3uc+%20LgbVre0fuo6+zZIme/4Crpdn32JloQOdm2Xh6z7bQu0SviYLW2beZ/i58aNt4B8XrhYuG3D/2i67%20Ub7tXz5IUL7jyt7KDugN3meIXi5qFZiUvaZxbc3+pG4tT2hLb09b6aK8OxnVg13cER3tBeltX2uG%20i7zso7PasrQoq9etnfAwl6Z7XJTI3+25j9lVJ39lqibUG94zjTWHUT+se74ts7u7Mid5bNuM8yX7%20c2lkL83DwVrvMO1vPqdW6nY49X8nrS1kVg7Xrazsrzye5uktzUXu9Xyu7aeubD1ytW71ZhEY1myr%20zQ2mDn3I573368wmnv7wdfbs7LWrjaDEuWavcztPkF3dDhv4eSkXuMgL0Xh72Wmric8HQGMNReaH%20H35YN0jsrs6bWZugfAAAhWWDJQlPAWftVDUNmpFYAAAoPI7Pt79xSAAAgCz6fAAAACfCTzABAACc%20FB/2vd48AABApshWaF0AAIC9+3y8CQQAACcF43wAAHBiPp/6R61+FAq/yRBggYlG4ATq9+h5PvEu%20qO2bXGy4nvIZMQsgvb29YaPi4a0qRP1Sv1nL84nDWiKHVr447u/vMVOWWXdFvtAystQv9Zu1PCvv%205xTcF20x1Ypam/2do2JmXfkg+/zsZz9LuSc9nNQvec44BZO9vPp8kJe7BSNQv+S5ABTP50vAi7y9%20ZWDOtYIko3wAAMX3+eLiYK+7emVyPO3t18JMSD8hcU8+0yeyhvKZZuC199DXLdltarDzilh3O+Si%20fk03AnjuKnFXTXlcgunT8R/oCxS+eWY8MTMT47OLxNOL367WZ973Os+bpS+8Pb/4pUnkwza3DZwO%201HsBNC/hds7dre3XGNXSqa/i701bTyfBh4eHtSZYegeq84a+buPziRrZ0udLdtFSe1Q7SCRBtHbx%20GNQz1uzwpLcTwk0hzzcFfnZJdiNOGe9duqO/V5DS59P6f/tw0bIfz2cD+fyw7s2jbRZDfSbqq9rZ%20f6DfdchvN0vG0T6gbXzt+qsy1HRScQWoX/Ls8d133ymH7+g52aHPl8ZpW6sidj7Ot5MZLiqRQ89w%200faZeFu85jL0Ib/dLDnqBVrrcvRXjb9SQrVDxeW0fguc5+2H1rLj8Bl7GOfbobX3fbFtNsNFaZ7X%2027njGS7Jbt9mzgTsu6HZ+ZVKxRW7fvOY5+3H+bLj8BknNs63qxT8g3y7n+HiF78duom0ZXtqaNa9%20jFbWBRWX6/olz9l3+IwTG+djhgvsvqHZ7Fkkbgvkt37J8wEcPqGgQju3X3V65+N8Rn7e5zuYfG6o%20fNrZK0bqWQ/be41wFKi4otZmrt/n23icz3+g0r9t3ohQKWyvASf1Pt8OZ7islciHte6TuK9xP6X5%20kNMbr3iNoHYLFVfsis5v9WWtH2+HSZ3yON/GM1z8XZ17meECAABbNtbb+3xa/y/jzwf7O5df/PY1%20wwWyBqvdU7/kOdfe5558vjxYb2czXFix+rSIxjYD6pc855eTitVwLPlcoXw//PDDukEm4cBsE8ya%20+qV+s5ZnQPYOQJLy3dzcYKACQ/1Sv4DPd5qYqpNaWU29j4JRAAAOz/YtMPq3ns/HFAkAANz00/L5%20AAAAToSfYAIAADgpPmy/yhwAAECelE/8//b2hiEAAOCElE9wf3+PLQAAIDu8vLxcXFzsI2XG+QAA%204LRA+QAAAOUDAABA+QAAAFA+AAAAlA8AAADlAwAAQPkAAABQPgAAAJQPAAAA5QMAAED5AAAAUD4A%20AACUDwAAUL6MMG6ZgtZ45Y7zcev83FScn7fGc00653fe1vndebp0I+fZ9MCUx26Tflxh93murTh6%20BrbMof/XOKPv+4LJbB0dN/Prnn3d/dPeY7r0d27SPDRK2a3KLCrf/O52kLKs5cag2rUWEuvaGDTK%20/qtSplPrWa/t0gk8tZxUYQEAdsaHbDh8nzuT1Ps1R/26autL7ddFO7BDdEuBSV/YkzLLPoyJAbm6%20DmkZTLp3suDz2Q5frVZbLXxPwjFsXtXjkmm5vaDmeUvfPeHb59zxkv29GfHu83zsHXl+fjeexzvf%20MuXnWehYt382Ll8RD/7OPZ3I5tg78zJn2sI6GfB1yjkF85UrbfrJ5Q0ayv7mmTBFLWgTVxVxfq6p%20AvVTq7XMc7Jtg0mlKnKwkyr8c/TCmD1HM7NupW9+wURspTkkoY5WXszxN4XmDgrtkFC5rbu0NRit%20gj3caykvV8nws/YeWXGulaaLM5em7jYs7EEbJV2abgY8vKtGY41I1Yh/w1lMKNFarcrDw8P333+/%20OCKjpmHUeqOeVL7mKGFHK2kXmYr4zfI+13pW+KDlPtZyl7idIwe6R8bkwpfOqFkzgseK8gXPGlsa%20tdk5l/pcs7+oRMMFCeZ/eXSvafhS950rffrJ5XWy4KXuljxlLWgSV9vdkkRPFsi073Qa2waTSlXk%20ZQ69TxGrBfLp265OFNlHk7FtLpioQbwfYg5JqCON/TX5T3cHrVu5kZqK5FxXBbsynb44ofsoxtSr%20c76iDdE2PunrYrPr5JCNUkJ+vJs4/YXUHH358kVrdn2J1mlVjq58SvesZFlLoXz2DiPR4jdd5zFy%20DfkaAv3FEXfVhupRe5lpBEhzrK8BSrzInM1JF6WusMuL1Ajuq2/D49JPU96lNX1lSl0LusTj7t7I%20Md6ZY22r+WGVScPKZ9TkvW3FNZfRzKSq9G0umBUGibVDqI5i7Z9C+fR30LqVu7qwuirYlelS3ker%202odU9/Uq06Wpi20Ke8hGaUV+Arq3+kJyq0YoX6Bq0pUoTavykwx0dDa76eZolM6qCT2hwtMtN25n%20lavHR8fK4XO9TzfMpH1g9ay0wT5q+6RTVm54WY5nTmbWtuOi8YUttbvqUajW+1TfX3kNo34lTjx4%20Gs+fhxOjdn1ZWqcWViW+mun7fD+2dS04mQwa5XKqLjOZmXUrfYcXTPwhmjraxv4r76B1E4/LeXIV%207M50qy/X9W2+hun23bAcslFKTnPcagxskerXUzbFTtWIT/6qSS7RWlf1kZVP3pHGoOGaSn5sjZdd%20w6HJxO6NrB8ClHNfXvvtekkVv1YpryGcqxU31Lql3EdtDz1z9OvbWS2psPIas2cLiYtww/m+acrr%201cbtjV/40tbCysRXIq7yvdjWLln/dWFZwhWoGZNB5/M4TWbWrfQdXjAJh0TraBv7r7yD1k08PudJ%20VbAz06W4XDeweXrT7bthOWSjlJRmSPfSNMVu1cidfVWTXKK1ruojK1/7NeLpCuuU3M3hCfv1T2Kv%20QcN9iU8p5FIelSg6b0hEH2KcZsDefTmEX67U3J3tR+O4Nn4i7r+5PY4qk4/4qWqf4bOduG+qqrt9%20PDd2+7qMtrDqGhPXn21OaamNWv4U5XVrYzJZCl/6WlideBT3GHWInOe0H9uquSDPRr396boW1xhG%20M6O7GJIytsMLJuGQaB2lsn/MTaG/g7ao3Jicr6iCnd5rKy7XDWye9JwYNN2+G5ZDNkqxaUZ0L82F%20FFc1ySVaq1U5/gyXlIN4y87fpjeSVas5w9PL8U578FU+Kmp7rq2eb6+RFTzSOU4zyGyPmrpH1tQo%20blwRwumEcuyddatxPn1hR/5pLd6o9PrjfCnLqytDulrQJr5ynK/pHhUYVNTZdqtxPv9VIs6pn+Xh%20y4xmGlFsxra5YBIGiJIO0VxnevsHd9TfFNo7aN3KTWOoaBXsynQp7qNU8wDS3NcpGp80dbF5YQ/a%20KOnTjPYiu01C8oWk0vry5Uu4auJLtFarYgrle3t7u7+/NwAyingsbPDSPsCp8fLycnFxsY+UWbcT%20AABOC5QPAABOiw+YADJPvb9Y9DEDAODzAQAAoHwAAAAoHwAAAMoHAAAoHwAAAMoHAACA8gEAAKB8%20AAAAKB8AAADKBwAAgPIBAACgfAAAACgfAAAAygcAAIDyAQAAoHwAAAAoHwAAoHwAAAAoH5wW87tz%2002yNMUSB67dA1Ttumeb53fzopRb5iM/GsWyefN6CXQkoH2x1B3/uVEeLfj3nbetJ3dVFKuyaZRk/%20DZqj13ZpVVKl9ut2F3Uu7VOYUqN86z4NBq8RcdUIf0aS4ilxHRdpeSJ5UtO/IW/U+9wrwOUKJ8DD%20w8P333+/KBijpixbcxTabPVqYnOtZ+3sHL5TWL3mbhLeClHEWq/XdGrXy96ouaxytVHu2GzW3O/R%20HWxrNXu2ydRGy/c5nK7a5H21bRw6hXd4bA24h9tnlcdYzr9edkb68+oS8c6iOW+KomkMEneiQA69%20VPWFXGYmYOZUZdSkHylscrb96Wv3XG6MqaNo/je8uqJJRcqitYCXrL4s6tjIdRiwYYr8pzHFMnfN%20ZnKe42pivStwJ/bxVVDMZb2HliTmEvLf5jEpfPnyJenO0jYpKyvOppDKZ4kK00rf7pRPphRMx7F3%207cjqp4q41CGvfXRs4W2zd/TfGeEd1B5OeezSLTcvPy3vo/C25FPo2wL/2eKVT3feuPZdf96VRdMa%20RH+OYNn9qepVOSx46cuoTT+psJFsL3fW7jlq+hVUcynr8r/h1bXKFPEW0GUgkm29VVPnfx1T+Kpl%201R0Ruk/XvQI3t09yUvtuSRLs5t3m+hSE8nmniNxZ2lt7ZcU5FLG3c/5snPWv5NU0uF2jYzPaQZp0%20iuGkWZ2VfV2b9b5dmUanvLve1A1pjlQnUP1TrzaZWSpvTr9Q/cr3SFarlL1+I+0ORrOrhlHKlZr7%20uXR5rVK1jXBVV2MK3eZk+Kwpt3uK+fvUcHa2TzF9n2tM6pxNZnyF8Ved19s59rxJRYs3yKo81K4v%20vVR1A1O13qd6imGYzdJfme3Ve6ri279HR9D0+d/o6lppingLuMn6Scz2hvlPawqZvQ2uzL1dgRH7%20pL8q9tiSJNktPgV/SxK+8mNv7VQXQwGVbyyEr+6YfdW1F70+nKG7ABE9tK864+rKfhgZNJa/y9tp%20VO18zsg4X+ms6lwPy2I1Bsvfq2el0JBlaIeVDBorjnJPYc0my1tSXLzu1bkhK8/rsvF5VxtEmwef%20SbUqvG0Zk9Jfrx41e4pbYGQ0YgerY/O//tWVzhQpLbAi2xvlf1NTpL8yD3kFbnh3774lCdrN//im%20T8FIKJf+1k57MRRP+cZPnU7DM3tQ+mT9rapioV1hdI/mtcqnet15bgn6L2s+Vu3V+xXXmbhgxJVU%20Hl5b0X5636WWvEPCQ+HSTAkP2yHRCVyzG7q1ez1vKoOkzsMal99W6a9Rj7F72l0X9jb/E11S/je6%20utKZIr0FkrK9af7XN8VmtbbvK3Dzu3v3LUnQbuJ+XJFCUp5ib+1UF0PhlG/8XgkMf67j9QWfNxJ8%20Pp9HvfWT/R5wO3nHnzt2h4i8wJwnpnFL99C3cgd9Q3J5XRs8jT2zeWaK9GQ6l7y78/hpEH2Cs1Pz%20ZTx8lPSzV5zXj5uHleeN8xSTDZIqD9H2+ao5cTsE5FF2v/jmZYwUNn09avf0srRW/je7urRJBSou%20tQVisx25DtPnfx1TzO9uB9tcFetdgevbZ7O7e08tidZu8SmsepCM3NorK86jUDNcrFHTP6TpzPxp%20jpZauBxL3tEEl8goajALR5nh0mw6D1u62Y0jzbRJ7Q6xkw61k8YC0yaN6PyUteZ22hO9/MPg9jGi%208qIzzLRJ+fKQMLczqWhag6SZRJo8o08/tzBtGePnwhhGumxHjgrvucnczs2urqSkYq+ulZfhyusw%20Zf7XMYVda9H5lro862dhpb8CN7PPigqKmQiyw5Ykbm6nOyc2PoUvX74kzfFOPbczWsYiKd8oWEuh%202bVB1zt53to6ZwvfJ2sksTflG+W9KotRCoB83G3NOOXb7z2YOPnSxnmrYQ9l/FCgjk57ikrsV6Me%20/Ko9fHdnAwDIAfPnWeWyfaiTqWE8e1TS7qIclY5Txg9UPADAyVJq99sHPNljb1gumx2n5+21fqQy%20onyFu4xfF5QCALJ5D8p028cvHitWAwDAaYHyAQAAygf5ZbO3iPIb6SZlhLbtzbGWibygHf68+d8U%20PeQCd77z+grgbY0uUHTqkdsA5YPTILehvJIitB1L5kX6jam7Zm61U3bPZc0m3iTxLRb3WPvRoCxj%20LrpLWjiS622NLHMhf5lwRwDKB5BZshihTT5GuMrmW0hXLtW73YptGz4aeGs0e8sO+7bKbf6VQMzG%20VIWLAUD5IG+uUCvck7Xsf3O3yki9rda5/d1zg+wPd3eREL7Rw0NnC/WjRX0qbQraXsFogN9QVtNn%20O8YHmsilft294or21IpNLdEaQffvduAsMT9/n7qLzce6iud3d614E/k2Lrsq71Y4sIHl6t1lEp1F%20GJVOe0sRG8ZZV3iqr58q3ECA8kHuGDSeroILtsol9JZrzXixmyYDoxtdkHswNB7Vnu4CezGHe62r%20z28IRE/xa4UmBbHR1yt4o1KVfYWGs+bStOHJjj+rabMdIwXO2hRKEGKLNpiq9V/9/ZUJZdEJmWmW%20O0bvUQmPVJ3hTbI0TzodYxTol4yxm9uBaVWG6bsmbRl2/T+ts1qvl7h7AOWDfOI2b8sYICujagUO%20j0SAWxVzK7B4rk740odASxV1LGW207AyMKHcupT1NNZwbGLH/PB0017G/PpRjfJ1Z2W9n5YqHFps%20hLNk2TuXcnm48UUAlA8OSvoAXdrABRvE91pKn1AuQ+tXrBECbWXUsdTZTqkJiaHLNEqaPtqZN87n%20H/yT6MJZ+A0aHw4tPsJZsuwZPSuXk5gAUD7YtHHfJkBXisOl8yGlTwqfZjRrvRBoO4pwtqOihWP6%207SLa2ep8xYdDWx3hTOvt+S3pH9vzj/kBoHxQHLYI0JX6cOHdDJ7u9MK3Rgi0HUY4S2J1QDtnTM2O%20IRZQhpXW8E/48ea1aDdGSBUObWWEs6Du3Wi8vWUS7pkAUD4oGPYUFNWFeFsZ9WrxUXW3OFxKX6dT%207eqcNG0KpfarHAZTPXlTt3WWW50uUOnubNVBJ+RGM5lEiutEnFcKUXzRmtWZzFq0l3ClNeQcmqnT%20YVuedZWvpd0YwTmpZw79uZZplWfVpjvqqS2sHeJ34hjZ16tc70sv2+5CdccWAU4J8+Hh4e3t7f7+%20HlvAVshutVk3U+/Xze9az5f9fMzq2Mx8Qu9uKxYTV6CYvLy8XFxc4PNBhltu7aTOI2dpVrksnCb4%20e4ntCGeM0gGsC1GKYCfuSmciZ6Zkq9/soIHHDliqo0Q4A0D5AAJtcSYibuXfiNgb4DDQ2wkAACgf%20AAAAygcAAIDyAQAAoHwAAAAoHwAAAMoHAACA8gEAAKB8AAAAKB8AAADKBwAAgPKdHv74p4r53fm5%20CsymiVQHAIDyQc6F72lgGG5Ec0Wp/fpq9WrYBgAA5Sse87t3o2mEpQ8AAFC+ogrfs3HWv7Kl75aO%20TQAAlK/wjIXw1Y26LX2T4TPSBwCA8hVc+J46nYZpmo2BEZG+0lkVAwEAoHwFE773irVQ2PNZ8PoA%20AFC+AjMft26Ny5Lr4V1eS+nrfB672jd/x0YAAChfgdy9VrkxmHTKzvt64mtnIj8MGuXW2H7Dr9yR%20XaBiF97pAwBA+daXGfmm+PzOeTtcIt8cl/qiXhdv/bdDq0u9r3o5X9sl/1dJvx746u0DAIDyQVrZ%20u61YQk5K7VdrpF4Pr/U+1aXciO+9kbV47f/PR+MmtI4KAACgfPnUvYYx8pymUr39aE8l6dwIH298%2099lot+v2b0IWR0YD7QMAQPkO45SpLsdW69xbqdLZ2LqzuyjPW+P52PerXPqk5a5sacuV23PpHOD4%20b/O726nt3i0pudpXPn8/6/t/qn/qTbVvk0fX1QQAAJRvC+r9kf0it3HVl6Ik5zfaMiT7JafG5aP4%20dTJofDY+dZvexP/x587A6FkL+ze57pfsuZSpTGfG9ciyB8vkAinDSfUsPEjmaJ9I6j0oc6Wz6mRm%206TIo0wsME/pGCwEAAOXbjFqlHN0odKvk/loqV2p+MXo8e757mkq1sxWsZIvlZDA0yqUVqVpGteb1%20efoQJ5i+x810KbVfF2ECPqODeTy4MQAA5Ssw49Z5+emsfVUNaJPPK0w49O79sv/atf3MsPYlkNbn%20WxwPbgwAQPkKy/zudiBffxu/T30bhaRd2d2lPjkLdV/Ox62WcSknvNT7Vi/s91kzTefouj4fAACg%20fCvdN3vZSuGrjZ+HUs8GjdZ4/Nl+s3twe3f3pN7ovjm/kZvsYUC1puX0yTi7dhb9GrfMcqMzU+ue%20uG+Iy4VRlt2X0mkrNwbqXXF7qHDi7OzOh3mfajtHmeECAHB8zIeHh7e3t/v7e2yxSlbNp6t0vtka%20uwIAgJ6Xl5eLiwt8vmNS74+MRooFWoRD2DBG+5c9prcAAKB8+9e+xaNxk9xbOW6VZ91DuXtMbwEA%202IAPmGAdSu3X/ip1PITqCc8MiQIAwOc7QSIvSJzLRWo0nmjmFtoGAED5YEMfdGGvOFPrWXZUWrlI%20Tfk80CPLQtsAAChfzonv6nSXEh0sVw1loW0AAJSv2E6gHZHdW35mNwttAwCgfJATdrTQNgAAygeH%20IvqC3bqzOne30DYAAMoH+2f9VxesmVxJrXZ9WYrdZcOFtgEAUD44lPilXldlrlYurTW77pSWHS60%20DQCA8sHBiXR1ylf01CrdnbL4sdyY1poj69WduLKjhbYBAIrVlrJidY40b4OlW1hoGwByCitWw4Zk%20baFtAICjg/Llg80cPkf7MrbQNgDAcWHF6lMgKwttAwDg88F6bh9GAABA+QAAAFA+AAAAlA8AAADl%20AwAAlA8AAADlAwAAQPkAAABQPgAAAJQPAAAA5QMAAED5AAAAUD4AAACUDwAAAOUDAABA+QAAAFA+%20AAAAlA9gbeZ356ZptsZYAgDlAzgNSu1Xq1fDDgAoHwAAAMoHAACA8gHkBTWe53J+N8ckAChfxpsq%20OQNh3KLZSoewlDBYggFb/62INhzLAsfNVSm1XxdLXtslLhMAlC97yKkHIzX3oNb7VDeMel98740s%20mq1Vsndbsfr1JAP2/+ejccOERsde5c5k0OBxCiC3mA8PD29vb/f39wXy/ETDJJpu6/XsuWW0RYsO%20ybr3dLXwWSnegJFdAQD2x8vLy8XFBT5fOs/vUbotk075/P2sGK200+l43mq1zr2+W2dj687uojxv%20jedj369SwFrnblfleLm/e4Djv83vbqe2e5fGgPVPveltjjydZBO5fbu+bt2ghQGgsAif7/vvv18U%20C8vtsrMSfw/QHGW4QKOmk0WVczuv6qMoo+X+qj6oUsuP8pO9SZXN+blp918uDaEreJwBRQoJu2fO%20nskm8htTa2EAOCpfvnzZU8rFnNtpGdWa7bbc6B/eg5MXFNl3D2uVcnRj9axUcn8tlSueAtX7i8Xj%202fPd01R8mb5LM5SEz1YzJoOhUS6tSDXOgOIEKq082TPORCktDACFo4jKN757v+y/duVDfIz2BSes%20L+cyFsoKrfPy01n7qhpQKGmVyfB5vqUBT9CeAIDyZZX5uNUyLuVUznrf6sX5ffn0+dayw93tYCJF%207H3qN87d+5V0+/w2mcys9Aa0ZhPhQRmnZ08AKBQFGudbjjbZozRq5Ma3Ibe4Jan1Rm4Rm6Plxp77%20qVZbltYZ0xuN3KEuZyCr56agxrqEzZaDeSsNGNg7T3bTmWhZWt/vfgszygJQ1HG+4r3VAOv2iqZ+%20VYG3GgDggPBWA+yLen9kpHkre3533jBGyB4A5B+UD+r9xaNxkzwjZdwqz7q4ewBQCD5gArCnqPRX%20qSOqBwD4fAAAACgfAAAAygcAAIDyAQAAHIlCzXAxTfMAZ1ksFoUsV+7MAgCA8h2i/T2WCGVcV3Kh%20zQAACno7AQAA5QMAAED5AAAAUL78Mm6pGHIJy1XKkHOZDzEXyuQyTF405zHlcS1hrkonGIKP4HsA%20gPLlCbX0sh1053pY1rbhQg/KnUn25TuQyXGr3Kk6wYSmoTWo53c3mvIsLWEf4phCn441m/ji9rCA%20JwCgfHlCtuFXdstduryuDZ7GUS+oMV3Gacus0xrK5Px9Wut9UuVqd5v+wOtC94bVZrQ8MqCso2FL%20U+jTkVsrZe4XAED5cuny+drw0lnVmL4HezzrfeHTvLaz3cqvk0mpe9ePnyrJOz0P3eeBuMeFSadM%20XycAoHw5dfkKWS6h4pPO57HSuttBUPfapSRlPDfNcsdwHT1dOuJxwfCisVuV2xTx/AAAUL6sUK7U%20ilmwel+Oy0mf7MboOt2gq3VP9XkKurOy0jNdOnKfVzcZqY0zi3sHAFC+PPlGbrstXZnqWakwRVMa%20JjTKmE1kuWQfptNJKSfDDBoJs1nrV03XLpF0AABQvrw7fYNbWwBWDW7li3HL1TXZS2mXy5Uwe55m%20zWiOlo5b8Aj55Wmgxj816QT3FM8LxbEaAKB8J+H0tV9HVdsRKg+vLTW3MRdv762g3neK5SuXFq+w%209b58r8OZtnJbsZQs6tIJ7HljPPJWAwDkGPPh4eHt7e3+/r4IhTHNA6xYfZRYDdlfsZpYDQCwW15e%20Xi4uLvD5AAAAUD4AAACUDwAAAOUDAACQFC0me1GDgxP0HAAA5dNzgLmdhSwXwgwApwO9nQAAgPIB%20AACgfAAAAChfzklesSwX65mFMykD1koC61LbUYgiW/0/eAQLHEzdTZvwfACA8uUT0Y7L6AUb/ZrR%20Igihahgje3Xq62HZladxqzzr2mtWj6qdm4D2+dazFr82DTcUu5vczTL1ZdoLGcII7QMAlC93qmc2%20pr1Rr7b+rxkugjVzA0+ULq9rgydbncZPAzeuQr0fjNQQTE+k5o/jJwP7VZs1v0g6q1T7EgcAQPly%20gpAAGXuuvMmv2S3C/H2qogwZdgxCY/o+dza+t/S9nT6Zux00uyHdu378VNHuXKjQTgCA8kF+ES6f%20dvukM7taOH2gN1rtG3/uGP6OzthA7vbAYDm4MwAAygdHolzRd896o3cyGP3wOSp9MiTt9WVppe55%20A4PdWTk+tDsAAMoHB0IK28xy1Ot9alTPSqrbcwVh4XseTiZOYNrOxBg0op2k9aumdyYAAJQPjun0%20DW5tlfINxdWvqp3PY1cO/RJnGNqtvgmfVq9mNEf2tJhxyyeAUisrZQwOAChfrsnF23urnL7266hq%20e2vl4bXlzMQ06v2R0bAnuJRnXTW3M1DYuOHBkJvXl29KOO/z3Vas2EmiAADZx3x4eHh7e7u/vy9C%20YUzzACtWH37x6KOctGA5BIDc8fLycnFxgc8HAACA8gEAAKB8AAAAKB8AAADKBwAAp8eHgpXHNM1C%201lNRywUAgPJtywHeaihkuRBmADgd6O0EAACUDwDyx7gVDEalvsd9BUD5ACDfzO/e7WhUo2rHDkY1%20bjWMkR1ZQ/cVAOU7wUbi3FmCMn6xzjyu5Lkslz/n46TAtOkP0e8JWaHUbjtrlDft6nqfqkXL61fV%204fM89NV/oGmY/OFPdv6gfHvrFJIrOjvRCKYNnSCIll+G6MlduTrVUahYQq/Us74MTFsOa9bSFKsO%200SYOWbwMnoxuuxReiTxpYXKTP/zJ0J/DTJf7yQm2DINm1wk1UGp3I6HmpL/TmPZGvVrOHL73qRuE%201i6WerIXLZ4Tr6h0eV0bPI3DhzgRinyW0B2iTxwy2edph+kIBSqOi1usWGQbY5H1HJLJHeYQn28/%201PsLN4KPNtSc+H2xeG0XI/6cVCy3fDJK7fTdr1i+KO3zu1vHEsmHQLZ7u2+My7oxvrubi6pTDy3j%20p6l4ugl9xVZw4vzktBsK4dw9FiTUnJQxJwitlLHVnVxK5bszFX99eO0E3dMeok0cMtWXYffQT2SA%20xsbsrOQFZryt2Fd46CsAyneyDYXX2hfEmZVDcFLGboyu01eb3MklJ63cVtSQp1RAe0xPf4gucchY%20X4aH6tRQW7wrPPQVAOU7PWfPlJM4itYKlNqvC9W6GbNJVTz3276aO445f58a9kYP4d6543z2lEC7%20YzPukGjiAAAoX25kz56muBzsK44X683OvB04k1SEBze4tbfOn4fuzBUX8aM3V2X8NHBETnuINnEo%20Cmo+OQDKV1jhE625YQwapul/pS+Pb++FqfdH1Y43aOcIu/DUnK3LjV5hlz/a01mdn3WH6BOHoqBW%20hUX84HQe9h4eHt7e3u7v7wvx5GoeYMXqwy8efZSTFiyHsKLulOxlshKFQ3q42e5k8tg5FP95jcnL%20y8vFxQU+HwAAAMoHAACA8gEAAKB8AAAAKB8AAJweHwpWHrOgM7NNZpwDAKB8Wg7wVkMhy4Uwnzrq%20xQbTNHg7BU4AejsBAADlAwAAQPkAAABQvtwiw64v1+zUk8eVPGWeI+VabtSVR2sKbTo5tgsAwIkr%20n4xHa4zsgDsy5Jy2FVdRPnOn53IxabdcTmSF5Ub/1kRTaNPxjrjJnV0AAE5e+WScOTeQweV1bfA0%20jnpBjWlvlLfwq/P3qRtsr9TuNlWMvfHToNltuwH23K2JptCm4+nesNokLC0AoHw5dv+iIeuc0NWv%207XLuFP2s6gbbkyH0apWyKswyopCQQbU10RTadFzdu378VOGmAYCc8+FEy23Hp50YtZ5VmFBzQuWM%20lnqxThQrHG9e9mzKEHyllabQp6N077Vk3HHTAAA+Xy6RHX2C7qwcHMjKtZabtxU1pCeKFZiGIsct%20h9cRNdSaQpuO0j3t4VAYiE8LKN9pUL8KDX3lF2s2ccfnZLGM6fvcU0Q5j+V1hW65ptClI/tCJ05I%20duEeDhpmUZ4XAADlOwWE/7NstpOGvnJGuVJzx+dksYzqWcnpyayOfIN9K02hS8dxC9V8z5rRXK2j%20AAAoX4bcvL51PSw776vdVlQXYAHeUhPqNKoqv8y0R/Tqat6KIV000//WnldYrSl06QAAFAnz4eHh%207e3t/v6+CIUxzQOsWH34xaOPctKC5RBS1Z0a5MtYVZqGuTCyfnWRyV3l0DCXC/S/vLxcXFzg8wEA%20AKB8AAAAKB8AAADKBwAAgPIBgB9eZofToGirl5kFvWlNGiMAAJQv5pl17281FLJcCDMAnA70dgIA%20AMoHAACA8gEAAKB8eSdxsc68reQp8xvEzb33iy6+wvIwX2F9aS23ylj1kT0BAFC+XOneTWcS85uM%20Zxf7YzbxhVNYLEZNo9b7VFdFKc+6amO1cxPSPvHj8NpSIRimDUcZlxuXW2VcW2PkbUP7AADly6Xu%20DavNml71ZIyCUa+W17KNWyL/ThjZ8dOgeeXFWg/FFpq/T91QfKV214lUKI/oOvt5W6WuOkEbSpfX%20tcET0gcAKF/+dO/68VNF95sQiIWQiHJ+y3a7lC6pbZX3VkxvZ+ms6obik0epSIWi/MvARJr4hTLy%20kSumUEB4mR1QvgLrXkFDq44/dwyno1Mx6cyuVDfl9TDc2ylUrjtTodaH11Y42qzs4vScR2eDDMoe%20TB8AAOVD944qfMJJczowHdwBP7+H51Oy24oa0pMK6B++k0OdYTV0xhLFrrrJMgAAKF9Ghe95OJmo%20kONyEsugYRapFQ8Ln1C7hL2t2cTbu37VNKbvc08R5YSWV/3zgdhVDQkCAKB8ecA3B9Lq1YxmbPue%20S1lfTlnxVKra+TyO+bFcqXleoNBMo3pWsmWv3KmOfIN9ygNcPiBoBv8AAFC+3ElGzt7ei3fiIg5a%20f2Q07Aku5VlXibxXWPEUMKoq/1dOZ7Wk2Emf2JCucOC9wHrfuh6WnQ23Feu1qL3FAHAKmA8PD29v%20b/f390UojGkeYMXqwy8efZSTFiyHsEbdqYmdmalQ0zAXRtavLjK5qxyK/7wL8uXl5eLiAp8PAAAA%205QMAAED5AGBzeJkdUD4AAACUDwCyhgqxEY254a1EHhewA+Dk+FCw8pgF7aIx6XqCFZTar5Zx/tn7%20Pn42HhcL5/WTccsOtlEft4T28VIKoHzF4gBvNRSyXAhz8TzA205n0pmpNQnm79PmVd+wlza4fZ63%20g9InJ5KHrreY7Ue7wIwcXGBkEuUDgGN7gIu2WrXAWPSN2cQ4i3+u0rzjZcZsP05jzatyJ5LJgwkz%2043wARda/x57xPpcL1WEMAJQP4CSwZsZZSS5drsIJj5+mwcVbAVC+08CZ8uZbljJmpzyt5BkslK9g%20vh9C5Yk9RGuCcWuFxeDYjFvlzmTQsKdvepX7dGWvPe6u33pbeWR6C8ApKp81mzRHbsCGYEyCZSsv%20QxjlCV8MisVi1HTD8onGcHhtOaEppo3AnPaYQzzdu1maQAapNUZeMmhfJqn37RqyZ256letd3+rX%20tNM6eZkdUL6CuXzv06QgO9K3aUx7o15uB0bGLS+U+vhp0Ow6bV2p3Y2Nq+c7xNO9YbVZ84uk04SW%20Lq9rquMMAADly4/L54Sm1fbc2Y/Gr+3cxp+b390u1U4UZunTxsbVCxzi6t7146eKNv3n4aR5VefW%20AQCUL08un1HrWU5w2sptwRa1GH/uGIFeS0/MzkNuXewhSvc0e9pjR2V9+gAAKF9mkR133mBH6awa%201wGYU+ETfl107p4ctxxex8STDR0Sq3ve2FF3VmYNLADIMbzJXihsFbNKIUet3KmOFq/1VIfIzszJ%20pGx2nO8Nc9oLSWb9qtl4Eo8LTBEEAHy+nIhDy7dqr72oU3G67uTknYDH58pev572EN+ET6tXM5oj%2020EOGC12vBAAAOXLJPW+dT10J7jcGI+2KOTt7b0YrFnwVQzpwBnGoBF8Yy9Q2PAhKYx2W7FY8hgA%20coz58PDw9vZ2f39fhMKY5gFWrD784tFHOWnBcghr1516mS8D1cqSmKeTSdP+z7sgX15eLi4u8PkA%204FDwMjsUF5QPAABQPgAAAJQPAAAA5QMAAMgfRXuT3SzogLzJRAMAAJRPywHeaihkuRBmADgd6O0E%20AACUDwAAAOUDgJODl9kB5SsQdqA5SXy0nVyu5Kkrl7dNV5zlj74dtBuT0wEAQPkyzbhVnnXtaASj%20audGp30ynl1nUoRyiW0yVoMdeWHaiAi9NZs0R25sBjeig27jinQAAFC+TAvE08CNTFTvLyJRB4Tq%20mY1pb9SrFaBcMgaRE0G91O42J8PngGTJnyPxhnQbV6QDAIDyZRm7YX9vxfZ2CtVYCN0oF61cOoR3%20N+mUQ52Y2o0AAChfrpl0Zlcq9ur18KZAHXfRcpXOqpPOZ1u95ne3g6hYGrWe5cShrdzaeqndmJwO%207PQR5u5cPG8EhlXH6oGm9X+16GcGQPk2xO24sxv0AnXcacpV78txORWEtxvuwJXx173eXnnMzIrZ%20mJwO7FL2VLRkWQ2jpqzUStmofxqNxLNI///sd2dlxA8A5Vsb0ZifVLlkE7qwO3CN2aR6tnEs9V2l%20UziUQ9a6s5005TbbH1ut1rncML5T/87tfc+XvdGOJ+ceajt3n4fXj97Ic70vtG/SuTm/s+r1krNJ%20+POf6YIGQPnWpH5VdTru7LGx68tSgcslWlfHR5C9lO4MmGWbvXQgxDH2z9qNyemcNrY+GYPZ2aPU%20KdttvryWXvHVp67YMHy/7HfVD/Px08Cw507ZHnm9v7Ck+zyYGd2RPYt2/DQNXo5K+0Qac/8TzuAJ%206QNA+dZvqgy7484sz7rOHMg8vr2XolxyW1VNVykPry31hoJXWNuBcOeyqE62mI3adMCHeBiIPEGF%20N5Tqn3rV4dPM70g/Cu0bDN/jJlSN3ytNIZQdn5tXrhy0s5mX2aGIfDjJUsv5m/1Am9R+Da0IHd2S%20x3Jpt/mKJj+2Iw22bqM2bViL+d1NZ3o96s4Gg6m7yTKum7VO5+bu0n5WUT6j++N4XG63+5fGtNxp%20tK7EA4f8xZpNjDOMCYDyARyNcashJ7vetgxD/islqjKcCBF7atkbhp/Vv7d3V92qMRk+GdfSzXue%20n83K4shmr2fIabllc9izus3p+9yQAjdumTLZWs96PZvJRRUGjfJUfGkbsgOaRxCArTAfHh7e3t7u%207++LUBjTPECUosMHDDrKSQuWw9y4hXJuZ2R5hdS/76XuVFfn8erXNMyFkfWri0zuKofiP++CfHl5%20ubi42MeJWLEaIDuU2q+Pxk3ckPO4tWvZAzhN6O0EyJr4xXVm1vuvzC0CwOcDAAA4cZ/PLOj0a5Np%205QAAKJ+WA8xwKWS5EGYAOB3o7QSAFY9d6ukGSwDKBwAAkEuY2wmwBfvzhHg/EgCfb1cs456ZicFX%20c7mSp1c4fyQb7caoOfyF1R2i3xPZAwCUL/O4wXZsRs1lTDs/45ZZ7kzyVrRxqzzrqnJVO27EXe1G%203xGd6sgOQdubNs4TDtHveeoIt2x/fwAA5duLUjSmvcfwihgyaprYPspd+NXxkxc9qN53g8tqN3pu%203PvUFf5Su9t0gtnqDtHvCQCA8uUKO85cN7oSlIxJINr7cu7KI8Sp8t4K9lJqN26QDgAAylcAh+9z%20x9B1dOaZSWd2ZfdSWtdDr2NTu1FROqu6kd/kc0BCOnF7AgCgfPkRvqdBcaKxu3hjllKo3A5J7UbP%20v5WjdioEbXfZvas5JGZPOCmY0QMoH8KXLYRKpdwY2MGZ8PPaNmaT6lkp/pDonnA6MOMGUL78I8ey%20Cufx1a+qToekr3zajcsHgJY7kmePeqp5LdpDtHvC6Ykfbh+gfLnFmoVeWcjl23sR6euPDLtD0izP%20uu40Ts3GZWHFj9VO2f5xeG316/Hp6PcEAMgjxGTP3CkyctKC5RB2U3fHiM9OuPPTySQx2QFgLdQq%20O8uui3Er8GJK6CvAKYPyARSDUvvVWk67Hbcahlx0pzuzX0wJfd0YRvugELBiNUARHcD3afOqb9gT%20lm6f55dG4Gs7uIKD7GBKr33rH7I9Bz4dmUT5ACB/yElcZ7FfI2K2ztjPQvp8C/Nwo30MoZ1OJg8m%20zPR2AhSQcqWW8HVHrRTeA+SVoimfuWeKWq6cmgXiKJ1VB09yssv4aXp9WQp93TZ15vFCzilab+cB%203mooZLlyahbwI0NJTQzjvGK9tkv1/uhJVkutZ73KpXmCX3dxRUqfzzRRQUD5AOBoyDAj/bRfAU4Z%20xvkAYFO3z2C0D1A+AAAAlC+LqMUuzMCCF7p9creSp1ew6EodmvIszWAGzaG1TxqjAW4fAMqXScYt%20ueiyHXi1N21oV3Mat0x7rkDuCjbr2pGERtVOcKWO+d1NtDxu3CF1SNMNyyfnSVRHIfukMBoAAMqX%20Vb9oGayn1O42JzMronpmY9ob5S786vjJix5U7y9efat0CN0bVpu1RNEURX5UkRyEfZzItLZ97Mi0%20q4wGuH1YAlC+DOMLTS5DzdUq5eDvcgqc0I1yHhW98t6K9nZK3bt+/FRJOFSG3Ou2S5sbDQDxA5Qv%20ywhp6868UHOv7eIEqJ10Zld216V1PXR7O5XuJRZy/LljOF6eI3JOZFopcoU3GuzK7UP8AOXLsG90%20d27eVuwhK7sxL9B8DbeXcumipdA92UsaiNVe78uhPClyN0bX6fMtsNFg5+KH/gHKlzms2cRr6OtX%20TWP6XozZGkLtoir/PJxMnFDqnYkxaGgmfYaFz1hOfXltG7NJ9axUXKPBPsQP5w9QvsxRrtTcISvZ%206ht2y14E6ldVp5fSm5Dim70pI7c1R4tIP6Vv7oorhS1XH+3xP3vSTGGNBrsWP3o+AeXLpG/Ufh1V%20lR8k53Ba/bqR07f3ItLXHxl2L6VZnnUThuIChZXhayLJOPaRQ3r9eqzRAJKdP8QPsor58PDw9vZ2%20f39fhMKY5gFWrD784tFHOWnBcgiHrju/7G2XPqHvTieTpv2fd0G+vLxcXFzg8wFA3jw/nD/IHigf%20AOxN/Oj5BJQPAE7X+eOFB0D5AODkxA/9A5QPAE5I/Bj5g8xQtJjsZkHvKJOWAgrj/KmLWf3NlGBA%20+XZxZ+39rYZClgthhoPqn3fBoH9wDOjtBIBjiB+Df4DyAQD6h/4BygcA6B8AyrcT5MKVivi1Ogux%20kmewtL44DUsL6AqZZJ/i2AVyoH9IIKB8O2LcKneqIxW/YNqIhu2xd7Gj+hSktLOuHa1hVO044WrF%20tuG1tYgxQZJ95nc3BbEL5EL/bAlcIH+A8m3tAr1P3QiupXa36QXf8ameDEcwcmKy5l34npw4Q3ZY%20dRXAQW7rOqEcbBPMrHT2kXFuq80adw0cRP/oAgWU72AIgZAxWcuFkfnKeyvY2ylKuIwyJAPTVlIV%20VsV3/1ThEoFjuYB0gQLKtyGls+rEieAqI68WvryTzuxKdWxeD29CXbvzu3Ph3j4GQvnF2EfpXpuA%20tHBwzIUR7QJF/wDlW9Opk+NX0gm6Mbq9wvfduV2XtqT5u3blYObw2oqEsNXZB92DjPh/uICA8m3q%209rVfbS/otW3MJtWzArfnQu202+UMzYYxWugjt0fsM38eTiZOnPbOxBg0TO3EIIDDSWDUBUQCAeWL%20R/g6Trste/Pc+R9FdXCvqk7XpT3md31ZsmXPnr3Zr6e1jyuF9nzPmtGMk0yAI7qAfglECAHlC4lB%20f1R1/JfhtaWa/+K+pSZKa9hdl2Z51rX1SjpwhvTbTP8rfUsL6OwDkC8J1AohWgjepfHw8PD29nZ/%20f1+EwpjmAVasPvzi0Uc5acFyCDm+uuQcl8UGBVstmUfPZC4sedgciv+8C/Ll5eXi4mIfJ/rAnQ8A%20xfQFk7XQ+8pD2+mB8gHA6WmhXwX9n1FBlA8AoOAqGOcIIoQoHwDAaTmCcVvQQpQPAKCYKmjEzJHB%20KUT5MohZ0InLJhOyAY4rhIlOob2riRaifMe6Vvf+VkMhy4UwA+zFKUwjqIDyAQDkTgidV+XSPALS%20X4ryAQAU1ilM4xEyiQblAwA4IWmkv/RInMa6neFlOcehWK0pDsl34fWljSujax7T/6uXjFnQFU4B%20jiKEoT9piK5HyvKkKJ+mHZehdfxNuAzQo2K1lrWtePiQXJe+POvaURZG1Y4/Mm1cGZfmWcg4fY59%20RDLDa8vbSpAigENp4e6kcWES1Pc0lE96L41pb+QPQGvNJk5ootLldW3wNF59SI4N8OTFYar3vdhC%20SWWUEYmcAA1L+8hkus7BpXa3OZlZ3DsARZPG0/EaC658orWXAVbLfp/mfVqrOBtk4Nbp+3zVIfnF%20Lux7pG83ZRllPCOlm+KAZbgiIYOeBQEgN9JoLgyk8SSUT4Nw+U6qvJPO7Grh9O3epO6ktEf1yh2j%2096ke+UF4i48EpgXAa8yvNJ6e8pUrtZMqb80VL+HgTobPKaXPicLenZXPQ2ODw2uLgOwASGOupfH0%20lE8KgDtKNX+fGtWzUqELu9Xx9StvSE96gXLqC7IHgDTuQBpRvoM7fYNb25FZjmMVlvpVtfN57Mp8%207fpypWwJv27p5rlDekL2yp3qyDfYB9nHeRHFqU71rgqzciET0nhsdTxB5Su1X0fVTlm0ArLnTrXl%20xXl7LyJ9/ZHRsCe4lGfdBH/Ns0C9L1/2cN7cu63YXZvyEcEwBg3T5JW+/DB+Nh4X9lSmktQ99a5K%20d3aD9gEYDw8P33///aIQ2I8auT9FRk5asByeHJZ6ZaXpvppZcz6NmrWeFao7gIx5jA5fvnzZ0/3B%206mUABe3aWLSVK28s+sZsYpzFtjJYC06Nn2ACgALr32PPeJ+f3IxmAJQP4HSxZsZZSU7ydVfjmaaY%205gSA8gFA3vAWGH+66qtVeNRMp9sKqxAAoHwARcRZimCxfBHFXrJO/zpmDl54CL6hkb2cLSc7Z9KY%204Uxmz55OgBgvQ+o7ypcWc88UtVw5NQvspM3J/gsPgTc0MveMYS2Xfs+oMYOZzJ4953fvV/6AMq4Z%20xU97MmPRlO8A0/cLWa6cmgV20Oi8T51lya+qqVe3O3S7eNvplPPwEmkOjJlJe5babbtvon7VDJhR%20sCcz0tsJcNLkYAl31XVrVW4zL375WA8/u/YcPxkyGtoBzIjyAZw0uXnhwX1DA2MW1Z6yz9Melz6A%20GVE+gJMmRy88qDc0MGYh7Tm/O78xLuvG+O5u7plRsC8znsTqZXJw11m8acXGVb8aeVu9LDCu7ZVo%20uVVnAe2viYcYrF6WZ0b24EpoVbPMLcRmJNyux7eeZ75sGtOfyQza08meL1dqy/5WLzsB5XOMGqxl%207cYUv+ZO+URRIsWQxVMb5T0QvkfFr84m36/Jh6B8ALB79qd8Be/tlC+FNKa9UcDx0W5M+WvekKGJ%20ZJih8DYnXG2p3W2GwtX6ghnZv9rh+ZIPAQDIFQVXPvvt3dd2efXGlL/mDWs2mXTK64QW8oVun9/d%20DiK6CQCA8kG2Xb5l16RVubVXSJDa5oSrldqmkf7uzBZLGb9Qveq64hAAAJQPMoJ8ccdbpkHKl913%20We9bvakdZvbG6IZ7deWyRrcVJZZSAZWjmHgIAADKB3lQRLV4kTGbVAMzm63ZxB3ns1dUmDpv/CQc%20AgCA8kFWGLd8a9J6SwItt8quS2+ZIEW5UvMmsIyfBoYSucRDAABQvvxhh64eF69c9b51PXQnuNwY%20j2rh/np/VO14I3lqm2cB4du5v8o5rlb8IQAA+cR8eHh4e3u7v78vQmFMc9+rJx/gFBk5acFyCAC5%204+Xl5eLiAp8PAAAA5QMAODJOpFf11qwTZbWI4ycoHwAAKOTUZ3vRQ7n0Q/3TaGQtFgyHo3wAAMWm%203hfaN+ncnN9Z9Tqv/aB8AAAno32T4TvL2qJ8h8XcM0UtV07NApApxu+VZs1wV/qD7PKhYOU5wFsN%20hSxXTs0CkB3m43G53e5fGtNyp9G6svp0eeLzAQAU19lrmWa50bi5m8v1/8SGQaO8XD4J8PkAAIqG%20DG7Wdz77PgI+HwAAAMp3KELLci7fOo1/2TSHK3n6iuUrWeAV24SDIl0zGxgNAADlywTjllnuTPzf%205aLLKlZrb9rQdcaHD8kH1mzSHC1c1Gu0y8Jqyyp+nnXt3UfVzo3v1w2MBgCA8mVE9WTAgZEvlur4%20adDsOsFaS+1uUwVrTTwkJy7f+1SuHxHZ5gTb05b1yQs4VO97IWw3MBoAAMqXFeS4s2jRy8FNy1WF%20RIseVgvNIblx+SadcrBDUoZhd4Ltybh6obLaWvneCvd2bmA0AACULx9O0t25cG0e28V46UbImFHr%20qQ7JhVW5VUomJKs78+LqvUbKOunMrtQR18ObNF2YxTIaAKB8p4QcyNJqQV6RS+Z6pZG+nuyQlNNS%20bitKDqUCRuam1Hqf6mHv8ISMBgAo3wk5e2bDGC2K34Jbs4k7zmfUr5rGNLCgoFA7jAYAKN9JyF65%20Ux0VLoSI8MeWQ3Xz96k9daVcqXme3PhpYFTPArJVv6q6Kwz65sKckNEAAOU7CeF7Hk7k0kLBF99y%20+PZemHrfuh66E1xujEdbpErt11HVmfbSmPYse6OvsPX+yFCmKM+68d6c3mgAAPnEfHh4eHt7u7+/%20L0JhTPMAK1YffvHoo5y0YDkEgNzx8vJycXGBzwcAAIDyAQAAoHwAAAAoHwAAAMoHAACnR9Ei05qm%20Wch6Kmq5AABQvm05wFsNhSwXwgwApwO9nQAAgPIBAACgfAAAAChffggtyzlurV5+sgAreXrliK5R%20GiSmnCETeMedp4njBwCA8h0PGVSuM/E34DLYjh2NtTdtaFv90CF5xppNmqq0ErlitQzk5zFqLkP0%20hXXvxm+Ccas866pDqp0btA8AUL4Mq56MUTDq1bxNsuF3gu2ULq9rg6fxykPy7PK9T2uVcrx54uKr%20C90bVptLE4yfBnbYI8MO806MPgBA+TKLaKUXop2Oafpl8B23PU95SA5dvkmnrO/VnN/dDprdON27%20fvxUCQroe4veTgBA+XLsC8lBq3LH0Pf0FaeY71Oj1rNUz6ZVufWL1vhzTPGV7oUVcdKZXalkrof0%20dgIAypc/nMGu7qxcaA9GFtPrmiydVSczyxO+p4E2CLte94zlcKBMxo3zDgCQQz6cdvHrV83GkxCD%200xu2soXP0gjf83AymZTNjvO9YU571mv7rGq8c7cAAD5fTpv8lm+gSrb/lfKJFHb+PvVGNeXAnc7j%2088/8tHo1ozlSPmP9qtr5PE4+FAAA5cuom9e3rofunI/bimU37EV5ey+xsDfGY98d1rNmoZc2Vlmg%203h8J/09SnnWZ2wkAecZ8eHh4e3u7v78vQmFM8wArVh9+8eijnLRgOQSA3PHy8nJxcYHPBwAAgPIB%20AACgfAAAACgfAAAAygcAAKdH0d5kN02zkPVU1HIBAKB823KAtxoKWS6EGQBOB3o7AQAA5QMAAED5%20AAAAUL78oF+UMnGpyhyu5GnHHPTwMu9tTojHpCttaNu4ZeoD3AIAoHxZQzTZ5c5E09jfaLYmHpJx%20rNmkOXIDLSycxanHrfKsa28YVTsxEWU1pghZQKhgwxg5ERymDbQPAFC+LKue2Zj2Rr1atLEfVpu1%20dQ7JvMv3Po1GXBo/DdzIRPX+QhtjIWIKjQVk7CJHSkuX17XBE9IHAChfRhGt/UK092VNY3/9+Kmy%20xiG5cPkmnXKwR9JWw/dWQm+nxhTJFpCha70wfwAAKF8+nCO7sS9aiDkhckatZzlBZSu3rs5NOrMr%20te16GOntXM8U9ohhuWP0PiF8AIDyoXtHR3ZIer2ZpbPqZGbZH2uuTsltw+f5FqZw4rV3Z+WEyTIA%20AChf1oTveeh2CsopHIOGWeRWXKjd7k1Rv2q6sgoAgPLlwzVysHo1oznST/vIH+OWT7jm71M1Fle/%20qnY+L8f8ri9LG5kikPj4aRCdSgMAgPLlzBPM39t7EU+sb10P3QkuN8Zj353ROTIa9rbyrKuUbYPC%20BhK/rVivxestBoDTwXx4eHh7e7u/vy9CYUzzACtWH37x6KOctGA5BIDc8fLycnFxgc8HAACA8gEA%20AKB8AAAAKB8AAADKBwAAp8eHgpXHNM1C1lNRywUAgPJtywHeaihkuRBmADgd6O0EAACUDwAAAOUD%20AABA+fJDcKVKO8ycR8wKljlcyVNbrlSFDZZ2i3QAAFC+LDBu2UF4llizSXPkRilY9OspDskF2nKt%20Lqwdp89f2o3TAQBA+TKhemZj2hv1ar52/n2aFGRHd0g+XD5duVYU1tG9YbVZ2zodAACULwvU+8JB%20eW2XQ66RE49V222nOyQvLl+0XCsK68Zl/1TZNh0AAJQvy66RUetZTkTWym1RQrJry7WqsEr3AsH2%20NkoHACBHfDi5EstI5G3vy1l18mSJfwtarnpiYZXuvYrv863SAQBA+SAfXuLzcDKZlM2O871hTntE%20WweA4nN6vZ3jlrnsq5u/T5tX9eKWK7Gw0rtzsHo1ozlaSNlbPx0AgHzx/wswACuCz6sPSlIlAAAA%20AElFTkSuQmCC" height="577" width="595" overflow="visible"> </image>
            </svg>
          </div>
        </div>
        <div class="fig"><span class="labelfig">FIGURA 5.&nbsp; </span><span class="textfig">Determinación del máximo valor permisible de revoluciones del helicoide del mezclador en el programa.</span></div>
        <div id="f6" class="fig">
          <div class="zoom">
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9FK1X+Lz%209Pl2totBbdFSiSZZPr9u14axV8rujhPGTT8hxZnCIH2FLdnguqa5Lts/kdeHu3MGlsTR1XnMS357%20m64ZtqfqmZ6TNGZCC5uDrOHL7daHtaq25VmJPAx7PWtAa63bTV+KHd8UK26BkKmh2KKl+MUvloPB%20L8RDjNCwf/zHf9xeBhoD2dFcWXcqhtvHbXaPNAbmEILg0rhoa/pC1hz2lw2FvsNNk395g06sW1Le%20oMPpljXLnmZQsXrF4m24fqnDJZ021YmfLubpHTrhkKhcXs5q9S3lTRyz3g50De7kRO7BT2YVx/wj%20az64VM/hMNhHuaKnqza7tA+jjJnQwkKeRjXvWG6wPmxStWXfn5G0YdfebvpS7PimiL8FwqaGHFOK%20ik3885///I//+I/jE7++vv7u7/4u0Y0BhHA8t5a0iJm8MjfVOW+bHZ+nBQCRLELjagCwZ9H68ccf%20S6sQbhYWhGPXq1OzH+yRR3mAfVCicw8AAPLCd//8z/+MFQAAIB+i9R//8R9YAQAA8iFaz8/PWAEA%20AHIBY1oAAJAfT+uf/umfsAIAAOQC3tMCAID8eFrqfz/5yU/Ev4+Pj61WC6MAABSD3M1auLy8jO//%20+875RD8hAEDxeH9/z0tWf/zxx6Se1rE9eqwUc4pJMckhVaUwxby/v99/Tn75y1+m2v/P/uzPkpTl%20GEVrp3z//fdRP/3qV7/KbC13uoW9n9N2O2zet+y1XmbNBbA3aQy0J7m7KX76058m3PPx8THhnt9t%20YsEtmtI58spDxajCdnO1tvxo3yIolUrigKmy5OyvcuKkDXzdCj/5yU+c28z7OR5xc3rrXHLBi7Gz%20Ml6pdBQC5hV+YTrnq/fzygeCwEGQjQ0vxHrG/MlPvheVVvDw8CDqr6q84vPnz583rMZOc6KOnzu2%207tr+WnoLBkklJDGts0IdKv6AP/uZVQO0RMlG2iwtI1j7mE7pktvEq+WOZZxiZqRGKpSGpR31FcUR%20N7a4oOatLu9PcWeKv8rMarv4d8MKlgvUZKjw56gtKw+y7S6EvvrrfPX+tPIqx5ORS6AewpxHsVSV%20+fHxQVZaq31Yig+i6l5eflYtptrOSg5bYTvdg+KqCE9i7ZbUmzBVyx5FaUvPJIHjbFhMr+qkdUGi%20Uon24le/6m1eUjVxdI2bSiVRz6TKwU/74P93f/f5t39bPpCKAgrtU6VUH0Spf/Yz+athfOZePSBK%20lkRNEx/E9f38+e+8tU5tj6mH6qaOeuBTnRBJfJGV6rjJvSC0St0F3nsheeeB2M182Co9GvLx6+Hx%20USiWevoqSREzSuu3Qtu/oMLm3svhNHTOxqgtWViM4rttmSBhc7yydm7lsUs8mytvbBM3a7tXKFwb%20Unlm6nPAaOIeXi7/ZHPvW92i6iHd2+OXMK1KqA6yRoeh0CShW1GX3vl1Rx1B6w3gHVUvnKNYjj49%20PPz2Gs9PgYZyk1sj5jKtfWkcrfL+ayTuLRe7iXIIf0to1T/9k3qGe3gwHkuXl45iqa7CVE+9zgDB%20tjpXwkb2Xhf1OWZL+EMuRSt5nbPFQD55aHfOVMeX1s0y1h1S2vCGdGqtR8l+thXF8t606kOqY4ad%20M29y5+l1paelPCr1Ofzv2p5WYI6JV2WTy6pKGNBjr3St3VZ6M7PJM8dOewXDXo7wtAzDkqiV3o/3%20qUv7tJ6RR3inroZ1K/Ht82DW/19JZ1RqVcnraT3K3sJL8fn7DXprttVcp22OnNbv4IplHGL2oOUr%20L31+83J7XXqb36Vxbpbj8aR69lFlcx6akqR1JCoskObZ+9tVrLCftEaL6e0eDHQYxrTpAX0yG0Th%20Jgf+3fTpW/2rsurYzXExV1pSWcabUKTy9iMln70So/Fb8R236w4q18rxtLz9hOqz8LrEiRJKV8w9%20lTAzuxsW2kSxlLVlKZZL1TFoiIp/afjaOFOx1OdUTznC0D8z/+0d9IE+4Hut17RGNXQZF62gVvn/%20PbxixTyGeBUrtY+1XIo0v7JbqE38/a0rltPwrbEkinbiu9Nh6Ky0EtOmB/wq5UH6DfinpnRtqltr%2064pWXcTX9UYB9+Y/bVje+H5CR0XW7m+QD+/mbZ/qbtpdx6zytJwq7VzZwFTsqAyI/ZUTYo5pLT+L%20h5xHcczS0rCKKY6jdCsV/e/7Sqt+8v33fyo/9w7bQm7iY4VbzvXawIN5Wp4eQvff5LOcY2aUrT2a%20tVJIvD5WqjtN7u9RrE0mm+xCsbw3rddP2sTTSt7KhHoC/073lPcnQro2GWbfZLQjrYuzLbLwGqwq%20Y3gQS2wRPnHqeUDhDpY0HYM7nYjhiFOgHzjhMK2aiCE9LelkSa0yhL9lK5Zs3T5/VmNaaqJsQv5E%20PK5977Ro4sMhRWvzXsHAOH1eugddxYpRlyTCs8lUi1QObCphi7xa6RugsD7tzscK9IMldLm07wOm%20dRHCnpbtXVly5f26ub+1nuqEDbILxVrPu9rpmJbZW7tiuzJFIsEoqYZ9qR0Y2HykZ5NHE/XQ5vhb%202kq+sj9ZFkfeQkrnlgF5FnKVNnt/avzsT8w74k+NA+OdgmFsMAaZdmwlK57WSsVKUqQNNS/KoFFt%20uqptaaetB6Tue7NxSeJmqYdK0Vg7KpVw2GC9fjPvnalOt7JzKdxWbtHT8vYQbqJb4Uw6hQpPr4g5%20yLOJtyw7koo1nkh2sTRJzAG9U969b26t7WkZ2Xh5PPwE5tQN56eVV1w16EqfPl9ePjw+lkzvar2R%20D9VQ/MyaDS0atZ8dys/a7uzBDS/3ATytrShWjC22+66iHFO1WpNfJfTGwvepsxyG8Le+T1qWnle3%20VJO9i47BTUY+tAm362l5dWu7MhCel5FE/Lw7Z3YVu22NZkWtE+HcoIFpGgk9LcPuFUw7lL27iRjh%20RzcjzcJCTvujsif7AdVMdyF7nz8n7w8MtC0ez6zXk7/+bBerOjkzAx3/SbslsPMRzR7cnWJthVhB%20Ci5OsYZuad2vJLq1I8UK37qBydybP64m6SuwZ7R/3opK7citOcIwCKoP0BEkp0KGK+qGntZ6Pt8u%20KoPqB/YO04ZfdUiSPW8B0+XZs2pTIKF1syw9nVYbCFXM13hNOvjLCalFa/OZ6TGidVjFWtnZusZk%209/CVVmtqJOxmjGomdqdSqfyPDX0s7UUX5d3KCBZs447oaSuksz3VRAxZ7cOTr7K0sKTTDxzzHJak%20P1mUyNtPuItJQMfMd5u0Lxs2T5tIS7yftMmYVrwXlUSxkuh6qndTdjdjUKtSW5wXvpWGEjKrZGkv%20VvYXPk7y4JWkkjtdham9w5WtR66WzU3b9bITTysbt82vMnvw5MnT7Nnbad8U8T9zzU5nDx4h27od%201vCuEq45kBfC8bGOV7QAgMcOSMiPP/6YNh7jts6LaAEAQArWWJst41hLN6o5sgwYAgBAlrE8rV0M%20lwEAAOzE0wIAAMg+v4YJAAAgL3y365WqAQAAtkXp4GtyAAAAJPW0eMMDAADyAmNaAACQH09L/c8J%20ix4InIOBiko42B1wfQ+e5yPv+Nm8yT0GG7orYmiL+v7+zv1fPJzlVbi+XN+s5fnIYXmHFKIVxf39%20PWbKMmlXFQusYsn15fpmLc/K5zgGp0FbTLU+0Xr/5qiYOxQtyD4//elPE+5JlyDXlzxnnIIp1gE8%20LchLRccIXF/yXACK52nF4AS5TR6bDdECACi4pxUVcjbtMn7xoWs3XxQw5vjOwVOIVqnkexM58HVD%20tns02PqFSLsdcnF9nSjbubuI22qFow6Y/DjehIGI5OtlxtGh+Bjo4uDJdWtba8zueq3aJMf/bpMa%20D8cD170AchVzO+fu1vbKg2rp1Ffx73oNq3PAh4eHVFP4nITqvIGvm3ha4ops6GnFO0YJ1WIrB4lO%200kubhO5BCLZiPJoU+LEj/uH9mHHekTr4pPOEnpbW69qFY5S1SCDfpa332hYt0MmgvqqdvQm9D+z5%207ZfIY7fJ2tXOeykDrR4XrgDXlzw7fP78WblZB8/JFj2tJK5Sqgux9TGtw0zE0HYyOFucli7wIb/9%20EjnqNklVk7yXxntRAleHC5fT61vgPG8+jJQdN8vYwZjWFq2968q25YkY8c7Weo/wsOs2YuuVjAtX%207OubxzxvPqaVHTfLOLIxrTWOsI6n5e3324pzRjO0ozYibR1aeS24cLm+vuQ5+26WcWRjWkzEgDWr%20Wth7pvevSNeXPO/BzRLiJ2Rv80Vvtz6mZeTnPa0dipZ2koWReHB+c18NDgIXrqhXM9fvaa09puVN%20qKRrk+ny6gibN99H9Z7WbidiRA3Ix/yU5ENO75nitV/aLVy4Yl/o/F6+rHV8bfFQxzymtZOJGAAA%20kKqd3YWnpfW6Mi7tWzkXolUEWCeb60uec+3z7cjTyoP1mIhxfIRjEQHXlzznl6Na5X0NVojWjz/+%20mDaeG+yZTUK+cn25vlnLM6BY64vW5eUlFajAcH25voCnlTtKqkNWFVi9Z0ClAQDYP5u3wMcgXZan%20xUg+AADOcW48LQAAgOzza5gAAADywnebr5QFAACwJ9ES/72/v2MIAADIh2gJ7u/vsQUAAGSH19fX%20s7OzwEbGtAAAIDcgWgAAgGgBAAAgWgAAgGgBAAAgWgAAAIgWAAAgWgAAAIgWAAAAogUAAIgWAAAA%20ogUAAIBopWJx1zktOXTGUbuNO6f2fqennfFi1VFP4462g4RrpN3kXAe6VnnKcFRuM1iKw2Zp//V2%203LHSyw+eQ60+srlHjm4ZRKuAjG97w0m9P18ul/N+3Rje3C20NbXSHNau5V5ivwtj2Kyc3i2oNqta%20l/Fd544bHLL2NHEzNOrVirNh2EwsQ+Xzi6hWAhCtvWPWx8nTy0IjbBOjPRo0ymq/7puQrrduGZOt%20aBsum73hbJtXyLT8oJGT+pSr3B5RvXx5mhj1i3Pv/ZtchiJbCUC09sLdaXMo/jfpVUrCcyqf1AxN%20fRw/i33arUZU0+x2L5529FXfs8+p9Uxn9ktY3lp0p4R0VU7tPsm78SK6s0Qe+WUWSGt3aEblK2VB%20VJ47nc6pryj6fArJElIvn2KtounzYx3zTnPMsNH8hkqa4dNTJ1WUTVwbqsKpU0Rfo7iyOKcL5jbi%20Mm3X7LpSr10rrBLcea7O2DmhLxvhY9rlDfa8ay5rsnoYU89TGcHULKN24n/mnPRux8nuvohWAvbP%20w8PDly9flkfHqC0Kr7oHVQeh0KeRbw/tRl/y9mgePJQ3kbvP3N0laudQQjtlRC48xxm164Y/bb0f%20OOsysmRRBQmdy86QmdY+sTafPsNF5Uel9RzHuz1otPUy7PwQmwe3izhoQ/0FXVEWfRL9Zdqu2YPZ%200NSWUM4j6rhjDefMRt38osqQrKY52d/ossYaMJURfHm0TmdvS3T3xTYIsBO+fv0a3ohoLaPajZV1%20dD4a9dvtet3w3JyeRNZ9EXPeCNEKZEbbpkVprn9n84fwDRwsma4gK2wld4rKZ0Sj7c9PhB30RttC%20hjV5iHxuicvbqrLEJNmx2SPFLybnsaLlf+yYp6tpPsla/7Imq+dJjOA/mZ0ha2s/0d0XbWDYp2gx%20phXdiS27A6KQvSWV5s2s2np8tO7PYB/Dx3TNrnczYbAbI9k+arvs9TSpyI66yWxubFIQLdOPRfJ8%20Js9PAqOlznBUHpLkfzPbxpxit2bfPOcbHnPcMbvf5XjwRpc1vp6nMkLU+OO1ONmwZ/Zob/XIwJjW%20AWi0ZH1+1vW/j5+HcorG26DbKKvq7Z2UtFrzVoulaJ7W2EdtDzwMxk0JSFAQLeKuTp7P5PlZbbT0%20GY7KQ5L8b2TbmEu5Y7NvnvONjhmQrA0ua3w9T2WEyLv8ql/fzZEB0dohEY9XZn2W02IXnhFhd8q7%200jNzHq3uyVVpnpqd5A7tV6p1e2c1MhwhlnKAeGGOCcvDt68DcxbVPmpU2JzkGNhuzYlI9l7LioK4%20I9YLey9zekpUPr1NVNr86I22VoZX5sFjw4XXhlHXaA3bRl2mXZh9DQts/EinO2ZIsja5rPH1PI0R%20ItVIOVsJ7j6cMCZiZGhMK6azem4N/5oPf3VrpNgdFTaHqPvtiEGCed+z12juT2ml00zEMEeA7ZR1%20Nda9jOikDx4nkOO2Lm1gyEJbkLCt2naWPDtE5NM+pj3yrslP9HQAjdHWy7Bnc5RNomyov0ZJyqIp%20jvZQOzB77JCLPucbjGlFHTPc2WnfGWte1uh6ns4I4UI55fZNw4mp1QxpMREjK0TMV4AjulszODWM%20RjJTtzmtBBMxMsR8FnrpEACKhXo9eO0JKLQSjGllB/kS8apRAQDIu2rJ0Sv9zCpaiRxRenh4eH9/%20v7+/xxYAAJAdXl9fz87O8LQAACCvIFoAAIBoAQAAIFoAAIBoAQAAIFoAAACIFgAAIFoAAACIFgAA%20AKIFAACIFgAAAKIFAACAaAEAAKIFAACAaAEAACBaAACAaAEAACBaAAAAiBYAACBaAAAAiBYAAACi%20BQAAiBYAAACiBQAAgGgBAACiBQAAgGjBcTDulGw646idFnenMb/mi0OVJf68qXK1xSKsd6gi1Yf9%20lVfcaqd3iwPlUv64aRm+o7mELGjW87Den791y7F7lbtvy/R3UGV2vRw0it2WJS/jFm24xqG2y8Ez%20AGnv89tebbTp3YinFfEwoBBPJB4XwHpAUVt28LAS8Yji5Genz0eHNfnH1KidlKl7AEWmMdjC8yOi%20pX1+G7Xlh3r/sVsWZp73685X0/Cj/mqvYJ3H5d5Et/3WeFwKRu1J7zLDsuXReld53Y1exXUeBMwd%20rZIPm+L7nUe3wwf0qbr/IPavdz6FH3esIztnD6UKluH07i60i/fBRW2UO3Y6p/b38A6aPplVnZ/h%20Moh9F57P+swkKKM3t14brs62ETx+1KHcfHouof7qxzyHd4J5ibe8kwHNpU9ewIhz+Sqb8yVJrUt7%206ohaF2U9bcZWmtrN+HOKaqm9qVfeDoLnTjA34RxGmW4lDw8PX758WYIfS6faI/XVFrG5+ta3Puzg%20pPYZ0/98WKSFrMy5+fRsdD+6P8tPyqbONm1aza9RB7GvkZPaZzRdKs1ldzNg7hIohbnN3NFbO4I7%20RFw5TZHDGfCUwbOz+hSVmdgyenMbeXXCh9JVvFWH8lhQe/Vj77fgwVZZ3lcxQpd+9XWJqMDWzp5i%20i48ydeJal+7USWqdtzKHM7bS1IELFKyCEbdDkps6fDtoLRJVnLDpfHz9+jVsLzytCG/r/EJWpOGz%20epD4MOS3ydOL2T34YZyX7acH8/GidNrRPCbIB5ItDxPXq5UMj0ldNZyRBrMPQHb6tVtqY6PVNqYf%208lH95WlibSx3r9uWTZMd0H0AjDpI/UJdmkq1rnlsTHTq9kidq3HVr09mc7NLwz69LEX4YkTtkO68%20bgauu04ZrM+yOpp5Wf9c4aqz6lDJa6HnYsmTul2+oasfe1jrEO61W2l5X/LQpU9VwPDO0uiqARBG%20NcTRU9S61LYN1ro464UztsrU+gu0qlrq78FEF8Wuw3IPmdXIHMbesHQPrq9aixejZV5p87q6miU7%20ToY18Xgwqg17lZA+qavrcbCT91Romc+Mi/NsjvvIOqnL8MStyaJWqmZXWrVpGaI5THVAH9qDrBwY%20W31qtwqc1Kyby72GEefS77DmeRN3w6Y6l84yqw+lJXgo/8Wym5/Iq5/0sEYSy2+xgKGdZRsgK4Al%20DXuxrV3rYq0XzNgqU0ffTXHVMjJVioti14bIHK4zko1orVYtoVknDfVQIVRLaJZlZ/OimpfCvDIR%20T5LyESXIOmOR485N9bGb0bkK8k7TVlj39vFWW28/gH5sUH/AwLPpqoNsmMqaHSKH3J4u5t5+4vBo%20ZOwO6+d2l+dKdKg1rr640PFXf7uF3VJy7c7CAamJO96jWbu3rVXr4q0XyNgqU0ffTXHF0adKWTQr%20N5tXBkQrjWrdXArNsl3hSe/G/LbOg/Emnta489x662Z3ep2wzqR36w6/m6OqstZbHayyq0E9Vbl9%20G7FvdGgPqOkgSfLyiv04kSzV8EadanzbM3tPZCNsPQ+OO7qn5pU7pMvtqjZAf650ZUyUba0NV12s%20xd3N0G3zQld/O4XdQfKInRutWq/ZszRrV7bV1bpV1vNnbJWp9RdoVXG092CyolnFMU8m9968MiBa%20aVRrUlMqZXXg1hzNMp9EzOcH8+Ey4jpswdMSFea5pUaJ7joZnT/YGMz7U9XXUOnVRm/WPEtnY3Pa%20nw+s/vO3kWHtKR7ZomyhPaDXqkkOYo0G9SrqjkyUql2bVbw5lqMMVi/KTXXUD3dzrdwheW5Xm1l3%20rvRlTJZtrQ1XXKzKrNa2hje0Vz/Nq63Jc5gmuT4DUeeSd709QLOxbWPKHqx1EdbzKYqbsVU7e3a4%20NC7aSaul7h5MdlGs4lR6RsLi+B7QV9UQZg+umtbjetDhGS7WJEOj3tZMD1o5ZSq8u8dlt8/t98Dr%20u5m3CDmYoJkTRIWNraXzfvuwlfiAGdCfmloXaSXt7EFWxIj1tYSX1PU+eCyXsTsEn1OWy1S+inDB%20NIdu+DYDZA5rnMN8Ejc7f0bRnT+Ll1n1vHvIzB4uAwcvez5q0yorIVoAsOnD3WP/qVIp9azOgLdG%203L6D7oEze7AMHLzsOalNK6yEaAH43FussHmfBFDrdgcTMQAAANECAABAtOC4kIthbX15e91rKane%20oHLXDPXmLe0CsVssTfgNwPBSu1HZBkC0ALalWc/D9ijla9W7jg0oji/fNVETvGvOAl5yVS/DWonU%202N+C/PK0NXsp0mHTUiNnq9zmLMWtyzZAvmAiBmSaxmCZufiN3lkH8h3Pm4+F0SirOJZqfds9TktQ%20p7WWIr3q1yvm68buVnPb83jQaOizTRUDPC04Up9IF0BI3x+1KuBT8oBJEZ6HL75UVGSjcMif+LLo%20na6boVqoenUcy8TBuoyI8FRRqu46ova6f97MuOv+6rINgGjBkUpWc+jGy7GWHhMbPf1RVoeZ7KUy%20rEU/pk1HMSZD49pe4cr72WX45EbDvB3HtOLWCgOqLddmzDzctDrX95RFJglqkFqnRi1jbK4CamjG%20kbxMej1j5OvIi7Cb3eM3rz7pIoPGKKgdSyJGOr3ZBkC04CiJirLjrOFmOwSJAj4lDJi0ScZCIX8S%20JPGhFpX0Sp5cTfkxMLYUIFGwLm30o9WKdapZozFJtgEQLThGNFF2RItsr8jpcz5WBiVKHDBpzYz5%200Ihg8mBI3oh2ddt7cSQpRjuig3Xpw1OtViyjn3wp3kRRGQEQLSiwYumj7EhPYumbxGZsLbjURhlz%20CYb3WS8YUpIwh958RQfr0oenWuljeS3pHcdaPdgGgGjBsaGNshOOg2VsNbhUHHaTHR3+JxjyJ74s%20XuTUCWcKycdUdVvKjrxgUKQwiYJ1aaMfRUvWpcbHcg/h5kWbbYDcQWgS2FoUF6uTbOSGWnAdFW+4%20CmervdEbnEH7OWKHiDAYVmaclKGMmYdot32ZcA8bURZtaX0/upt1kSZ0J406l7NZJrD21RY27Ana%20pw6EuonJNkBG0YYmKQnRen9/v7+/R78hj92SnZfzQT7mwcluvNl12gigwj+6qc7fmOoHR8jr6+vZ%202Rndg1AgzZKhdwrXnHu7VTeOTQ5QMFgRA3JMMQMUpQlPBYBoAcButChx2CTCUwFEQfcgAAAgWgAA%20AIgWAAAgWgAAAIgWAAAAogUAAIgWAAAAogUAAIBoAQAAogUAAIBoAQAAIFoAAIBoAQAAIFoAAACI%20FgAAIFoAAACIFgAAAKIFAACIFgAAAKIFAACAaAEAAKIFAACAaAEAACBaAACAaAEAACBaAAAAiBYA%20ACBasG8W47vOacnitHM3XoR2GXdKnbGxuHN2K8nvcrOd6r+e3i1Wnyp8nJhknt3EXs65nERqS6Lz%20rjCALz9j77eE5QKA/PDw8PDly5cl5JRRW17F9mguv8xH7br4Vu/P/Xs4G+ajvtzB2SC+962k4of2%20aMWZ3OOYh4nf38mcczL/ucXPfV9GN0Ad2n8i9W11uQAgo3z9+jW8EU8r14w7zaEUj0GjLL+WG4Nr%20oROT3qXjX4g9jNFbt6y+lRvdR9miqz3Gd7dGt2sl7b6NjKb0vyLP5DlOQhpX6mS3Y3UKmTlj8vSi%20Mjf+MM4TH29x11nLZ1pVLgCgexD2plnPQ+lSVCvupkq17hGGxd3NtH/V8LfilmxVTj9OBg2/xExv%209MqgOU4yyTi/kNkZPpuisfgwPJnzaNbC6uA87eyiMy+mXACAaMHeWHxMwzJxUvPs8PI0qZ2UQ86H%20KVtCPD4WwbST2Vx3Iu1x0qrW4sVoub6Wq1njTqU3rI2Wy1Ft2Kts4BQJITaHsiq9SbJyAQCiBdkS%20Mp8bZjM3avW6vxvRdtOmrpDJmRKOhGiP4/H5OvaevlRe1RKaddJotCzVEpplqaCZY/Pwppc49Smp%20M8lC6JolSdFzNwKDZ1HlAgBECw6BJQg+L2I+k15G/SJmtGh893E+eFM+T1C2vDQGy+UgWZfg4sOw%20RS2Yylatm0uhWeJnpVq9G/Pb6iJ23+ypFm171kbakTUAQLQgG6qlOvqGzY6a575QEzPq/UenXQ/0%20i4k9Osa5/LUxmPeD3pZQvKheQF3/mu29LO4ue9OV0lpTKqVUy6g5mmV2aJqHNwV3vW7IeGLKBQA5%20gynvecea525Rb3unkQtdcmeYu71m5hxwNR/ds8G/d3BKue44RvAIMRPS3R3kif2720f0Zz5wjMjf%20vPmp90e+b/P4cgFA3qa8I1pxjaDd1Nnt+4qmT+wmGmNfmy4bZ0cd6u3/fVeNp3XSsHSoPCV95St6%201xTHyeCrbLypBYBoFZuQTM37/dGqFFt5h3fDHFuvGUdkLF71kr9cnK8nECQLoDiixZhWBFXVzzRJ%20OAd7W+/wrk9jYPYTDpuVkm/6npwZ8Whcxp9y3KnMrlfMukhynKyRpFwAwJhWATwtc4Uhx3vxelrz%20vhpD8gzAaAdNnIGaoIsWNcQSHusBAMDTwtNK4b2YsjVsnt7N3Wf30JuwW3qHV00W9y1r61ndFgAA%20mPK+utNN9fM1ezNTnyLehN3gHd6Q1r2FHi10/VslSA8VGgDRKjq2w5SapO/wBkjqadF1sAZUZwBE%206xhk682ZtR71Juy23uFN7mkBACBaYPk6zV6v4nFwrMEtwxKhYbNUak7b/blSE7nmg9vfJ5NXmsNh%20U414jW/V8q0T54CLj6m2NzGwah8AAAQpPTw8vL+/39/fY4tNEILz3ErmEaXYFQDgeHl9fT07O8PT%202gnCFTOaCUK7CzesaYxQLACAtUC0tidb23mHN0/Yk0YCam1tVr2jHabuAwCilUnK3beVi0oUyMla%203N0aj+bL0kbvduwKc6nSky+ymUUdGy333el2Cw8TADbjO0wAa2v0oGv+/6RWNyq2j9Wc9udLJzJK%20o2HrlAy5dY7RAABPCw7scH20rFUX5dIg7dqsoukKXLzMqueEtAIARAsOiNkZ2LOmoJiaZbRa5vKK%20Q9+ywGgWACBacHDkeolCoSb2oFa9eiU7BMvd67bhWaoKzQIARAuygalQFtqVgOUaIAbh7gEA0YIs%20MH4emhMD5cogwxuzp1Bsql84vtX42WDiIAAgWnBA3JV9nQU+5CqNtZ6ch+ENiYlmAcDWYMo7rIlc%202bcb2moGBQttG2AuAMDTAgAARAsAAADRAgAAQLQAAADRAgAAQLQAAAAQLQAAQLQAAAAQLQAAAEQL%20AAAQLQAAAEQLAAAA0QIAAEQLAAAA0QIAAEC0AAAA0QIAAEC0AAAAEC0AAEC0AAAAEC0AAABECwAA%20EC0AAABECwAAEC0AAABECwAAANECAABECwAAANECAABAtAAAANECAABAtAAAABAtAABAtAAgFYu7%2001Jn7Ns07pR8m+T30undInIHAEC0AA5FpVo3ph+ORo2fh+12ezKbOzr3MTXq1QqGAkC01n9YdpBP%20wOajcSnweHxMdrDLbRtihR3EbsJsMWbs/NdjsmT5/KLuapTUrNag1R4+277VfDapX5yXufEAEK01%20G5nu23zUr8uP9f5VwzAaA/G9P5ov37rl47LDctSWnya9S1NkGoPlXBgi1g5Cmm6q80EjzoyD//Fo%20XBa+R8zpBiyf1Axbo4RbJb0q4X3ZzpdQMTQLANHasL1udB9le6ta6/HdrdHtNo6yXan2R8oQlUQa%20M+40jZGjadFmFIo2MpoFli2hWM1p33rOabTaVgfh4uXJkAolvC/j6WWhVMyonaBZAIjWxn6G1d5W%20Tj9OhONwtFSEvkh/axjQmMVd51R19jldfYu7m6npVCUxY+OqP70pZi/hx92pVCzXIRWqpToI57OJ%20UijhfU1M1RJb2q0G9xsAorUt2TImTx8RTatv2MYzelM0GgNLtk7vnKGZTqU3rI2Wy1FtaHthwo2Y%20hJ2GSDPKdtudjlAgqw6fjOu+0bv15NnqDjQHtBpeHfNsAQBEa0PmRq1ed4d0NLL2tgxSTKesMZgr%20h6nZm5nC8jE11JQ3OTfOnRynnQUXZUbPwE6hrNq+7ja61+2hx49U3YFjNaDlKb1vCwAgWpswvvs4%20H7xdSx8jQraOxdPyOkw7MGMhrSq805qnuGZ34I0a0HJ1bPY8M5iEAYBobc5i3OkY5+Yguu1jaNrb%204/G0rNKqyYSqDRY2kZ1789nEcGcSBPr74s3oDPAU06qNq77hzl+R3YETn0IJGw6HQyZhAKTj4eHh%20y5cvS3CZOx5FeyS+Og21veHo7OAt9ahtf7N/rrf7czdF3fsl3oy+vQEAAnz9+jW8sSRE6/39/f7+%20Hv2GLXSpdkrPrWR+UYpdAeAYeX19PTs7o3sQdtklNhgZzQTLXSzuTpvGCMUCgJQgWrBt2Vo+Gpfx%20EyfGncrsGicLANLzHSaAbVPuvg1WCRuCBQB4WgAAgGgBAAAgWgAAAIgWAAAUESZiaCiVSns4y3K5%20xA75NQ4AIFoZYteN5gH1IPvikRfjAMD+oXsQAAAQLQAAAEQLAAAQLViDcUdFe4pZbE8GhypSiK34%20Imt/deJjhdIUzTgAgGhlF7Xmqxlj4+Kpom17RRte6U2Opcj6X9U6g2ZUk5ovJlnRjAMAiFammc8m%207Za5hF75/KI+fB6HnY7mtD9aL9xvHous/XX8PLQ2yhUH37rlwhoHABCtTHsdH9N6taI+yzi+0w9/%2035doopeika4cTZG1v5obP0KdhgU0DgAgWln3Oihykl8nvVlraXUaXq6OtAUAgGjtgEq1TpGT/Frv%20XzVs92vy9IJqAQCidQBkEzybq8+Lj6lROykfd5G1v8p+QgAARCsTfsfwxuzuWrw82VMQjrnI2l8b%20rVrvdmwrWf3ivEzNAQBE6xB+R/dtVOtVSqVS5elirmLHF/zFo/gi636Vcy5GRtOch1GZXduzBwEA%201qP08PDw/v5+f3+PLVyjlEp7WDA3F6u8H2rBXFZ5B4DX19ezszM8LQAAyCuIFgAAIFoAAACIFgAA%20HC1ELtZD8FzsAACIVm7Yw+xB7IBSAkBa6B4EAABECwAAANECAABEC9Ylfummoi3sNA7FxgqWNvRz%208o0AAIjWrtvwmJjxRYsoL5SmaYys2FiVkBaPO5XZtRk6a1Tr2aGzkm8EAEC0dux0RMeML2JE+fnM%20Xry9fH5RHz77VWv8PLQXfm8MltbauMk3AgAgWrskPmZ8ASPKy9giVatAMlDW9GMR/PUj0HuYfCMA%20AKIFW3a04neY9GatpdV76HT6Jd8IAIBowdaoVFd0ddb7Vw3bD5s8vSxSbgQAQLRga0iBmc3V58XH%201KidlP2/apMk3AgAgGjBtl2t4Y3Zmbd4ebLnZDg0WrXe7diWtPrFeTnVRgAARGvPFO2trKCL1H0b%201XqVUqlUebqYDxqBIjcGI6Npzq6ozK7tOYHJNwIArKT08PDw/v5+f3+PLVyj7D7cey4iyh8qk7kw%20DgDsmtfX17OzMzwtAADIK4gWAAAgWgAAAIgWAAAgWgAAAFnnO0yghYjv2AEAEK3csIcp79gBpQSA%20tNA9CAAAiBYAAACiBQAAiBakRy67ZxG54GAhVyOMKlTIIJ4NOkMVfKlGAEC0MsS4I1eNVZEM+9Om%20LgLvuFOq9CaFK3dEoTQGKXfflg6jthtGq6jGAQBEK6tt9/OwfW2tT17uXredSFNum1xqTvujfr1Y%20ghVZqBUGGXdEwkfr90IaBwAQrQzTGCwHDU+DXa9Wgr8vl2/dStEKHVmoWIMs7m5cSSuocQBgD/Ce%201uYs7k6F1zAfEBUq0iDj257RnzcwDQDgaR0WOTLzdDEnkGGcQaTfRXhiAEC0Du5RlJrGaIlixRsE%20zQIARCsDDXSlVxt5xnEwiN4gi48pmgUAiNZhm+iXp4lhDJv+N5CO8MUju8h6g0jmMya2A8CWKD08%20PLy/v9/f32ML1yil0h4WzD3IWrS5yGQujAMAu+b19fXs7AxPCwAA8gqiBQAAiBYAAACiBQAAiBYA%20AEDWYRknPUR8xw4AgGjlhj1MeccOKCUApIXuQQAAQLQAAAAQLQAAQLQgPTL+rn+ZvTCFXI0wqlBy%20u88g7oagpZxfTu8W1CQAQLT20HDLKBySeX/a1AqTjC3VK9pqsZGFGndkIC3bIKYYlbtvS4dR26j3%20rxrWrrNrtbHWu0S2AADR2jWyPbaicJTPL+rD53HYDWtO+6N+vWC+ZVShPBFIyt3r9mQ2DyQVCR9V%20oK3x87DdUrZrDAhHBgCI1n6drpenid0IO4jWeCna40qhShpXqPJJbfL0slBe6M2wXq34/NKbYfva%20Uicpb9WPDt2DAIBo7Vuv5NBMpWdY3V5HjVC061lFCpHsJvT5T+PbgIkmvVlLda1ePNE9CACI1p6w%20Bm1EY330HoPU75uqOaZlipdnlG/8PAzELrYHt7z+GQAAorUnJ6MVGsM5OuaziaNMwh7G9GMRoVlC%20qKgyAIBo7ZVxxzMcI5vlauW4DVKp1h2fSdjDqJ1YMuWZoeFofK13O474EQAA0dqBczWYXzxVrLeP%20bqpqDKeQb2XF4xS53H0b1XrKIs1pfz5ouC5Y2Hgjo2nuWZldM3sQABJTenh4eH9/v7+/xxauUUql%20PSyYe5C1aHORyVwYBwB2zevr69nZGZ4WAADkFUQLAAAQLQAAAEQLAAAQLQAAgKzzHSbQQsR37AAA%20iFZu2MOUd+yAUgJAWugeBAAARAsAAADRAgAARAvWJnbBwYKtRmjGD1NEl8pfZjdJKMURLtUIAIjW%20oZvxy94k4rdxp1SJ/DGHjDsyvKMK3tifNvUhxPwGcZMEUxTNOACAaOVCsp5q7bpesORi56N+vTia%209TxsX1tLspe719oQYgGDeCKPeFMU0DgAgGjlQrIuHq+qut8aA+FdvHWLFGRLFMmJN6IPIRYyiCcw%208eLuxklRQOMAwF7gPa1NJeutbNwdYdFPzZBZ5ZUGEfJkdNSLV/X+nNBZAICndUjJOsZGWA5GPV2E%20BEhrEDnV4qaqhsGuZxWmXQAAntZhNOvlaTKZVEo963uzND0GR0KIUKVXGy3fGskMcjKb1C8elVUa%20rbZx87EwGnhbAICntWfK3belxbxfN9qiHT8axRo0EhukUq3bY1pyFMyonaBYGb20/ncSrBcV9BNE%20ARCtIt37he0Bk76UYQybpZL3Va34IgspG9V6FXNvcxSsQSXJ6DPY3DuVc/xiPC7NyTI8ZEDGKD08%20PLy/v9/f32ML1yil0h4WzD3IWrS5yGQujFPEB67bkzfzqcJ0qSfSWw4+ZLCWMUSxi3v29fX17Ows%20sJExLQAI+V3LrvKhjZBupW2bSkZpaaRuzkiVo1Ql88/eoHsQAPTS9dg3PhjTgoyBaAGAnvnMYOIM%20IFoAkDnGnUpvMlSLQzpLHD+3mDgDmYMxLQAwF9Ya2F/MIS0ARCtPMEsKOwAAopUb9jDlHTuglACQ%20Fsa0AAAA0QIAAEC0AAAA0YLUODODnXX4InYq0GqEMuRwTHntn73rrLpm8iZxtrIkKwAgWnthPpu0%20R/bK5tqlz2Xkqd6kSCrdNEbWQu7TZlC23J/nF08V69dxR8bespPYCiW2zq7NA41qvUtka88PWvaV%20s58cNA8OrPIOiFbx7v+PaTjevN/paE77I+/a2TlHLklnaXP5/KI+fB6HRLzV8P8qjXRxXlapr9uT%202dy0zfPQ2lO+H8RK4nu9hN7V3M8f1YODHT3Grb2s8g6IVhEdrYkVdEPXWSbf1hT3fKWgiv3yZCuU%20TsTLJzVjKpetEx/seFqLu5uh2sHc86ND9+DBJaxcNi9H9dqvTeJS9XpRYaZLRinV3zWSkCpfqRCt%20/DhaRr0/t8IeVm+OpvE1O44qPaN/1QiKuGZvod3XM1PaZTeh8+A+6c1aS6snke7Bw17MSq8X8JlV%20QE9RqXW6tTSWqf6ukYRU+UqFaOWor8xpg6VDoXq+jqPgAiFFfp2uVOv6RvGmqqRdipfdCNZtyfO4%20YnCgizlqB3t6rd9Y5R3oHoTC0Gi1/TrtFW7phtbkAuHC/bLHtGQKp88Q+2WISrWtH5xllXdAtArE%20uOMZjhGNdGCEp/BFHj8PA/NQhKs1vDF/d0e8xDbHkRIplJIJ+ar1bse25RxVg31cQ3c1d/sFhUvj%20SnUZiA3SFWaVd8g0Dw8PX758WYIHw1xzbyWeaVj24Jbc5JkGr92S5hRZs8OqIo/a/h+92yK25tU4%203BpJkyzXuZqkylEqNaq1i/r29evX8MaSEK339/f7+3v020E8Y+5hwdyDrEWbi0zmwjjcGkmTEJa+%206KlK5p9d3LOvr69nZ2d0DwIAQF5BtAAAANECAABAtAAAANECAABAtPJJacdghwIYp0D4V3+33+Bi%20XUhAtHLDHt53wQ55N06B8K3+vrj7aBE2BrLKd5gAAPwKphbIaLTaNx9h5zv9qt7rLQROqnylQrQA%204LCMn43rQWiFrTXePOUl3GKn2rPI0T0IABpkJyFLD0L2QLQ2u69PV0UylLvog+nl8+G7U4oMexlh%20EGdbOEnBjFOsmn1pnDeM8R2DWoBoFagBr8yul3Ej1qKJr/QmRWrJmsbIWiZ32gzJjc4gclXx2shO%204hX3ghkn/5XZu/q7+GKG5W7OiE0CWYNV3tddynrU1q1Q7l/GvN4fFWqV99jV63UGEbu5a7uLHawv%20BTAOtwaroR9VKjmaaf49+CrveFprux0f03r1oxPZPdgYCPO+dSsFLb0TMSuxQY7HOABFolQyMvXy%20JKK1AZPerKX8iYun43mhxRyjqvSM/lVjtUFkOGMr3uPi7mZInQHIm2I5SJ8qA29RIlobULfbbdk0%202/F5C0+5+yZ16XpWCblTGoM0BnIsS8XHvXZDSAJAfhysjMgVorVh231SO+ryN1rtyWyewCCWyC3f%20usZsUmNcHyBHcqUUK1MgWhu02jWr48sczrk4L3xzPO54xqrGz8N6tbLSIG4a2T0YGAYDgMxJ1tIr%20VxlcVQ3R2kC1BiPD7PgqVWbXb+bKN8V+8agxmF88VayXrm6qc7PMniJrDCK31XpmmsrTxZyXVQHy%204GBlU66sfD48PLy/v9/f33PNPBevtOtlW/dwivxmMhfG4dZImoTljvKQapP+wJL5Zxf37Ovr69nZ%20GZ4WwNESCEFirXCieUHBWseE4CTH4mO5crXMemwgRAvgePCFIBGSpVY4uZ4F39gYvxiPavYME2eK%20Llc+xcoDiBbAsbpdH1M1M6bRqvne2Fjc3fR6lYjR2ZLV0CX9u0YSUu0pldenWq5/rj3XW0KTABwp%2089nEOInwx5ZdNcXGWAYnzxCapACpdCNYy7XPRWgSANgHlWrsy97l7mPf+GBMq3Bk+R0sRGuT67pb%20sEMBjJN3yie14bPsAhw/T7WvGc5nBi+DF0yucjGpPR66B/XsYco7dsi7cfKIGYLEME7Nt+wag9Gz%20NHa9P3+z3gR/bi0HlbtTFTSmPVoOMBkOFqIFAIdCrq8/iPoqvpkDWOaQFiBX2YTuQQAAFAtPCwAA%20DqlX7nvCRVphBk9rTawVAzzo32op5mqEEaXyGMX91d3oTeFsZc0FABwsRGv32AE33Djy4ZiIcmBb%20jWgXTbIudaUad+SauCoIZH/aVGokB/5rI/82c+vsWpmu1rtEtgC2KVcFmCKIaO2Ucac57T8G17uR%20q7qJ7aPCBT4UkvVUa4dLNX4etq8tK5S71yraloxRYsm5uU0tvCB3tYKUNAYsFQSwCwcr+6sIIlqH%20asNv3Mbag5yXJdrjSgEl6+Lxqhr+RRTYXTwhHG3LewyhZNWPDt2DADhYiNbe3azbnqHrGSyqQkvJ%20WuUZLe5Obd+zfFKbWJEhpbo7u0x6s5bqSLx4onswg9f5NGacFjLtYBU+qg+itaFmCY/iCGIWp5As%20OY73dDG3+/waAzmWJRvAS+Pa7Sp1hgClqvkWa4UsPImpwcmR0US2cLAQLTQrt5r18jSZWFGIexNj%202Ax17ckHdBnswjdKZU9Zeesas0ntRLlfVJ1s12rzOhmNVnsaWnyQNdQzlEq3TPv+c4ho5akZ/5ge%20j2Z5J0zKmEztgDgt5OI/tVFgVXDheFnSZg7+qekXjVbN6jM8MhPmg0q1Po1eKHdpPdAn/btGElKt%20TCWXYi8tvQ7WAXOIaOUIGdsh5GocWYeKXWTphxnS/fK/uNYYjGqWd/Z0MbcFTWw11J6V2TWzBzP3%20dHJtXbPmlAeKbHYJus8Qy+Mr/sPDw/v7+/39PVXBUydKe1gwd5n56naoTObCOMfwONJ5OR/4nyjW%20uDTEuNpiqlRytbcclsw/u7hnX19fz87O8LQAYJXzbM6cucIHxsHKHqw9CAA+yqzynjm9KuYqgogW%20AEBhvSsUC9ECAMiHYiFXiBYAQD7kynwXCtVCtFZUGiK+YweAQ8oVDhailYI9THnHDiglAHKFaAEA%205FixkCtECwAAuSoIvFwMcKzYEUg0Yc2sn4h2hmIhWsW856PXGyzmaoQRpdIbZBwZ7vEIl2pcWZlM%20K8VKhvhRGM1na8vEnf+rk0ZlFvOTR7UA8qgfWGNw/GI8qqX5WRNjZ3J1bCFFtsbDw8OXL1+W4MGs%20RisZtY16f26veW59DO0iaY/WPEVG7TA342KFSiVLqzZ6DGKtB+/7VAjj7IBRv153TDLv90d627tV%20zTSh+XU+Gs0DtTLVif1J1AWOuDRy6jV/N/zr/VKQEu3knv369Wt4I57W2k/GbkyNcve6PZnN/b/L%20h9/mtD9yAx8WxiW4fKq161qDWKEdTYOo0I7z2cSKR1I+v6gPn8fFNs6GXDxKvRh6Qy/aTlfHdKFk%20eEY3DGdjIDRq0rs8vZs3Gk7QzYun23Te6/jD8PtZKgjNvHqj84MJF7JRqgQhRXJXLroHc4In5K6M%20FFWvVvy/NwZm70qlgJJ18XhVTSHttmVk7EcrTlNBjbONatV9VLL1Ypu7Zwg3aH4x7V3eLcbPgVgh%20SrYmT57wV8LM9rPBmprlyYrxwZjWVrsEXe2nPxDR2jui4b2eOZGijqPzX0mWvqhSxa3QjlLF1cZQ%20xDFIKFu93ixgv5AzrxSnKrxe2/AmlWoq/zVKs8yzGyeMaW1JrhjBQrQO336flm6qaihAitcRTCiI%20kyzVM9WfNlVQi2ur4y9lAwpKtt6sAT+f/UyX1adci/G40u0OLN9svFjnQcGrWeOOiudpz/F4bvnD%20UMPGDpax5MV5ROtQiKbBiRPfaLWNaeE7UmRs4okVhbg3kUGKg1PV1FiI7PgzZpOafEiX7pfdzC4+%20pkaNJ/foh6Bmr1exTGp2+1lulyFsXukZffG4ICqaXc/ksGCl2bwU+yuVGjZVYmFmaxQxWYdB130K%20aQyWUqXsy7hEsnCwsgizB9ecPeidMujOm9PuVrTZgxGl8k+ntH52zaRJk2fjHAjf7ME1ft/LxFp/%20kuU6V7MAqbyz64ptDWYP5qgPp6b8DjkRbm4+lR7hi0dukYV3YBlEDvJZT+mumTwbYZNq92hcRtWx%20cefSeOTdKhysYptXeFrv7+/39/fYwlPnSntYMHeZ+bp8qEzmwjjcGkmTyCneqa9mflPFTxEspDVK%205p9d3LOvr69nZ2eBjaw9CACwHQcrRq5gW9A9CACAYuUGPC0AAOQKTwsA8ox6W4tl3lEsPC0AyIFi%20Xcp13pmHGKNX7nvCyBWilYUHKF5cxw6HeWDfLuu0p3LFw8nEqJR67VHoDWM5USxt6Yx1ipfpVCWP%20WZfprl4BrYFoZYE9THnHDijlrhVrTTfr5Uku0tstjzulm7urhv+9rzXmQxdpkreuP3B5tNY4iMgx%20pgVw8CeDHf5dD7XcllyeDKIeL1hF8EAgWgDgQwY3ubGWMWSxSEeuWOQiI9A9CAB+GoPRc6lS6smF%20IbuYgymCeFqFwQnhELPeYLFWI3RLrCt1xK9yPfJScPa0sy9zqrMpWyzzjoOFaBWNcafSq43UytrT%20prbtFc21DOJRHOaziWdV9mCTpvtVRtwwlJUuniq2kAnbza7V0vA1GZGX2gQZliscLESrGE7Hx7Te%20vzIb5nL3uj15elkEBUuu/j7q14tVZhmJMMWvUshUdKfy+UXdigM/fh7aIZ/EIz2rkkP2FMsrVygW%20onUUmB0sb91KkcokFMiKAqnrEtX96hWy8klNhco0N3506B6ETDtYyBWiVSxkTN7erdk0L+5uhkfi%20XDpxL5fz6o1fb7S/RoV+n/RmraXVaUj3IGRMrgz6AxGtYrpScixLOguXxnWROgGjdbr75vblSdGe%20zVf9WqnqDWP3rJo7BntWAfarV0v6AxGtI3G2RDO9NDsBjdmEF1qi/FFb2qQrZlpJ9hMCZMXBQq4Q%20rSNh3LHHY2T3oD2x4DhKrCTIX2b9r8LVUi+qysWB7DkZjVbN6lk1x7cuztH7A7K4Ow2/lGG9klDk%20EUeGrxCtY6MxGNXUvIPK08XcmeBdoLeywiWW09atmRaXxqNZZqfI2l+lN2qZybWSaTvD7FktVWbX%20zB487JOI7q2M8Ytc431Z3JmdLMiU42v38PDw/v5+f3+PLTwVurSHBXOXmX+0O1Qmc2GcokhWx7iq%203tyevHlfuhMPIlLJdEu8i8Y+71fGv0A7dWBLVt3J4tqvr69nZ2d4WgBgSdZzS7fohRqsnVdvdN0G%20adfsXSPJ7lJ5Fcv8nrkc5jHVnqstogVwnMih2GGzJBdtGepWdCl3H/vGR1HGtBjBKgyIFsBxYk9+%20nffr7ZF28Go+M4oxJ5YXsBAtACge447ZH+gsZqzvPMTBgoNCaBKAo/e4BupTY7A0RUq4YIWISIKD%20hWgdEccW8R07QLHqLXKFaB0Ze5jyjh1QSkCxANECgKPVK/fFK+SqqDARAwBwsABPCwAAuQI8rUMS%20XFpwvDqQYdFWI3SmQ0eXWVvk5BsB1lUslmVCtMDwKZRvaVHR4jaNkRXIsKJte4NJCmCDyuzafCN1%20VOtpgzdqi5x8I0AaueIdLEQLIgWr1Jz2R95Yj/OZHWmjfH5RHz6PVyfJvRmenRAsjUF4BXBtkZNv%20hKy501kOTEKXIKIFcYgmWoZpqHhv7I9pvWptkFENp4FV2jRJct+WySJ/RHeJaoucfCNkhvNH5U1n%20MqY0DhaiBWshHK0jLPWkN2strS7RywIHCDxuyuWy+YxSvdasSFiyVCPp3zWSxKXyj2Dt9lykSpwE%200coDleoxdm3V+1cN27mcZPI5HLbiVN+dliq93rNmpPZQATJkVBE7sIi9iXAhhCaBFE+jotWezZ1+%20M6N2Uj6CInPdj6R2yxXgR+3hc0bmdjKCBYjWVlyt4Y3ZQ7Z4ebLnZBSbRqvWux3bOl2/OC9TDQpd%20w9vVgw87MoIFiNYWH0ZHtV6lVCpVni7mKoZD0V88agxGRtOch1GZXavZg7xrVTjs1w8vjavuYR9L%20cLBAUyseHh7e39/v7++xhedWKe1hwdxl5u/CQ2UyF8bh1kiaRI5ELdOfaB25WvNcpNosVcn8s4t7%209vX19ezsLLCRZZwAIFO66PvK0wsgWgCQA8VCrgDRAoB8yJX59g+qBYgWAGRYrnCwANECAOQKEK3i%20307EOMAOsCfFQq4gObynpWe5Y7BDAYyTf9Ry7rrX7KyF3neyzjvvCwOeFgCsQbn7NjdOb8M/jF+M%20x+VyF28W42ABogUAW3bAbnq9SW82Wg7Ci5Otsaq3laTk0ailWk08Qar1zkWqvadCtADgcA7YsqsW%206DJCurXGcglLM4iI38FaJkm1RmtLqv2n2rPIMaaV7glUs85e/OJ7RVuazw5qGxrtcH5w8BU7aIfI%2040B2pOuxb3xsfnVKS0awANE6BONOqdKbJNmY8Ndc2qAyu16qqLY9fxBIM5iFzajtRt7S2SHmOJAd%205jNjw4A7jGABonUwwSo1p/1Rv75qY8Jfc2qG56EdgqUxWL5FLQE+7oiCP1q/6uyQ8Diwj6eQ3mTY%20tNxdca2kN+x4wc+twdoBd5giCIjWIRFN61I0rpXVGxP+mktkDK3qR2dFt97i7mbYduO0a+yQ7Diw%20r4q9tJ8bxDepUo7TvLZk+d7uW/KqHyBacCgmvVnLbM/mF0/6br3xbc/w9AyufRzIJThYgGhBlnBG%20qsontcnTS1htxs/DJBGNVx4H8qlYrn+FXAGiBQdGCMyqXRJpVoLjAA4WAKIFG9Jo1Xq3at66HJcK%20q5N+a/rjAA4WAKK1B4r2VlZIbQYjo2nOn6jMrtXova/I89lk3eMADhZAklr38PDw/v5+f3+PLTy3%20YmnXy7bu4RT5zWQujMOtkdDBYuWIwqcqmX92cc++vr6enZ0FNrKMEwCkdrCSyBXALqB7EACCjDuR%2079ChWIBoAUC2JKtpjJbL5fUs8h06RrDgUNA9CAA+Fh/TdmtgmLM8b14W3eBEmVLA31oJITyOIRWi%20BQCHQc4BPYlysHCvANHKJKUSC6ZhhyOlUq1jBMgsjGlFPlHuFOxQAOMUlfJJbfgsX70bP0958Rvw%20tAAg2zQGo2fpY9f78zc0C/C0ACDzsuWJWOInZjZ8BCrFWkFoFnen6VeYUfHA0pzOjiCWKI3a2c1W%20MoMEUiW0SfBcyWyiSZXAJoFUSWwSLEX6uoFoAcBOSTAbPtQWfrTWjFFthqhMr1iXxmOU4kakeXmq%20jVQWb1dLZLn7NndDmiY1iC9VYpv4z5XUJsFUyWziT5XAJsFSpK8biNbuCSwt6ER4LUUvOFig1Qg9%20xY0otfXg5f8lxkpFX6qxgHeAnA0vg8o0WrWEEWXK3a4ZhabRaqfVx+fWPGXg78XdZW8y6VVKqeqV%20M4hn2AG1d2mQwtgkUIr1TIFo7fYZs+R7xhGPPE8XcxXJsD9t6nziYJJ84wS0NZ+u2m5MLEeB1IOW%20sod1g0RbqVjGORKSroisu3+ejesUSyPL5jl15GThHhj9uVk9hzcpnvatBZzXOOMGBimMTaxSbGYK%20RGsHglVqTvsjzzPO+NkNKl/uXrcns/mqJIXqJJr2H/23m9Q0q36Xzy/q9vwzrZUKbZwis/ZseNmV%20lKK9XdzdDIeiyRSPNcNmqjGS2kk5vQsj1UC06kYz9XDMJq8HFMMmTin29qYEopXwqcPsEK74N7kV%20TsY+rFZWJSlMH5G4e9pxT4ji4W5i9RTorVRg4xSb9WbDm2Mq5w1jfJe0qbW9+nm/3h4lH52S2TO9%20icXHVLXUCR2eoVkrr/pG2n6ttV8PKIZNvKXY35sSDw8PX758WYL/PSH9D7I3uT3Sba3352mSRJ8i%20B3YwewYjiru0OtzDO+islGfjHC2jtv4Cx++v0FzseMwGeo3spTyTM0yUKJl1CtsECQ3iTZXcJoFz%20JbSJNodGulSrbRIuRdq6sZKvX79q2iVEazPRkpcp7iIVT7RiNStipwgrIVoAkFK06B7cqJvstCTn%20HhxV6F3Zx7fa+W+0nEG+o7QSADCmlT3FqvRqo2Xq2Tw5L/bHNEKzxh3PW4X28NWRWgkAEK2sNd4v%20TxPDkJN5vC8hFf/Fo9C8VqfIjcH84qliGeOmOpeeld5KAADrUnp4eHh/f7+/v8cWrlFKpV0v27qH%20U+Q3k7kwDgDsmtfX17OzMzwtAADIK4gWAAAgWgAAAIgWAAAgWgAAAIhWPintGOxQAOPAEeNG3OmM%207Zg8vM+BaB2QPayQhB3ybhw4YuTyteZSe/Il+sbVaDRf8go9ogUAkF0aAyFbk97l6d280WCRMkQL%20ACAPsjV5+lhgC0QLACDrjD+q7brwtm4ZzkK0MklgaUFr+DV2BLZAqxG6Q89RxfYNTmuS6bamjhUL%20kJU7YjyudLuDx37dGDY7YyoyopW1Z6qODHTtbXVlwA0VFmra1ApTIEnOsSOnugGzrhr+0poLulsG%20scRIbHy6mC/DW2fX6ji13iWyBXlsDkqVZlNWXrWI9LBZ4QFsPxAEMknwQzVNqD/SBy3UBjOMT2Lk%20OHJxRCBIYQR3m72D+L+n9PY3/1aCQAIAQSC3S2MgbPXWrUT0Erw8TdqtRpokOe8nvBm2rxPFdBRW%20cOcBO0G2Pqb16keH7kEAoHtw7+33aalU6RmBnrJid4zcastbPqnZ49FS1TSWak77j5bUTXqzlvLP%20Lp7oHgQARGtPWOM817Pj6c+W/pI2dnFjIEetpPd0aVz36740nZIc2npzvDNnPExK3dMLqgUAiNYe%20abTak9n8uDXLlfDlW9eYTWonZccZlVNWXMUSQkWVAQBEa7+Nd8czHGOP1hQfOR4VoVmuRcxBL3OQ%20TyiWOaXQv8BNo1WzX2yJOR4AAKK1PedqML94qlgvIN1UVddXgd7KikBN7/WqmFPkxmBU65kWkV2B%20pkzJKSpyMnDw1S6xq6E2VmbXb100CwASUnp4eHh/f7+/v8cWrlFKpV0v27qHU+Q3k7kwDgDsmtfX%2017OzMzwtAADIK4gWAAAgWgAAAIgWAAAgWgAAAFnnO0ygpVQqYQTsAACIVj7Yw5R37IBSAkBa6B4E%20AABECwAAANECAABECxKgX1owdsHBgq1GaMYP8ywiGPGjd4dxpxSVpPhLNQIAonUoZEyo3kTTUl9q%20tsYmybEJ5FK4ZuzG/rQZiiA2n03aIyco9sBa5V2GJbGTeBWqaMYBAEQrS4JVak77I39oQyVZT7V2%20PU2SHLtZbhiRcvc6FEFM/hyMzyIjbFlhScrnF/Xh87ioxgEARCs7NAZmaMOKRrIuHq+qKZLkGU+U%20YRkxK6hQwtGa9CqRvYcyTIkKslVI4wAAopV1x8OUrGMKBiW05nrmRMwKxMESjpZR789V3+C8euPp%20PTQHuyo9o3/VoNoAAKKFZO2pyKcy3KWpSlK8/N6U7Al0dEw6ZW7vofxJpQmNgwEAIFr7aMBfnuzO%20MDmdYNgsFb89ns8m9piW0Wi1jelHuhKLNMFxMAAARGsfWM6DmhZXN9qjZfGjxleqdXtMyxg/D43a%20ibfE445HtxcfU3P8yrdRpAnN1AAAQLQO538V+sUjIdSjmjXVojntz+1J7arIjcH84smeh3FpPJq/%20+jbeVOdvR9WfCgBbp/Tw8PD+/n5/f48tXKOUSntYMPcga9HmIpO5MA4A7JrX19ezszM8LQAAyCuI%20FgAAIFoAAACIFgAAIFoAAABZ5ztMoIWI79gBABCt3LCHKe/YAaUEgLTQPQgAAIgWAAAAogUAAIgW%20JMC/tKAZJcohYsnBgq1G6JY5ulCBIssoxeEkzoEIVgIAiNYuEI2vDELiMp9N2iN7qXc7qHx8ktyb%20oNKrjdTK9tOmVm4CRRba1DRGSzuJLVviQLNrc+uo1rtEtgAA0dq2YMl1zUf9usdX+JjGBdrQJcm7%20myVKbAUfLnev206YkpgiywgulpyXzy/qw2dTtcbPQzNwiWEGQ2bldwBAtLaLaFqXonH1SZRwtKwo%20kNrOMl2SI7SSR/JeniZKqky5/+jQPQgAiNY+3Q6j3p9bcSCrN0fQ+JZPapPerSnPi7ubYQpbyQGs%20Ss+w3DTBpDdrKctdPNE9CACI1u5b8O6b27Elm/MjCCTfGMiBKRXk8TpFv6cV5vl6VrGl3e5mNC0X%207GYEAEC0YFtSvTQ7AY3ZpHaSbjCq0Wqb0i6ECksCwFpYkYv/8A//UH13wkS+vr6yhS1sYQtb2JKp%20LYYQrS9fvizBg2Guuadh3q8b7iz3udtBZg9u+XfQb4k/RcbtMGoHSryyyBor+Q6UV+MAwK75+vVr%20eKPlad3f3+N1uu5nqbSHBXMPshZtLjKZC+MAwK4RbpbrYNn8/wIMAOd8Q4moNpTNAAAAAElFTkSu%20QmCC" height="605" width="572" overflow="visible"> </image>
            </svg>
          </div>
        </div>
        <div class="fig"><span class="labelfig">FIGURA 6.&nbsp; </span><span class="textfig">Determinación de la potencia requerida por el mezclador en el programa.</span></div>
        <div id="f7" class="fig">
          <div class="zoom">
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yu/CPauL%200W1eJrdyV9iuBzlYjHK9vfqtvuGGMpy/dS9e6aFK/j1/ulvsY65ZDkpy9FVPpfm24caecvxpsnHT%20rxNxVxYoCyCnNripG/ol/x/yW2b37iSQPLr+HavL7+7SjbjOYjnLHlKNmbCFrQnRaHd710OmS9u2%20l+Q5jPp9e/Ip0+1mrsWeb4ott0CkqeFk9Enzs5+th8OfyUcTKVf/8i//kt+vN4fKKVzLukLC80db%20/o3m0HL3S65Eu2NwZmScjVdjgtljZjh/dS/O7LtP3Yujec7y5Mz+12y31uY2zF7raE3nLf3D4/Yy%20vZkmzQx9lleLeiOnc5PHbHRCvr29/JB38LNFzW3+ib34WgnlaBR2Mm5xVdUXV85hdGMmbGGpRJO6%20f941fD3scmkr551IOoYbbzdzLfZ8U2y+BaJNDUeDOb/7T37ykz/7sz/bXPLl5eUP/uAPyLELIDXi%206XLN4FfInrk9X/IW10nbTwAQyyoyBwYA+9On7777rrINaTzRfFB2abqwHFmPPKAD5E8FBx0AABSQ%20r/71X/+VVgAAgMLp03/+53/SCgAAUDh9enp6ohUAAKBoMP8EAACFtJ9++ctf0goAAFA0eP8JAAAK%20aT/J//3oRz+S/318fLy8vKRFAABOg6NbXnB1deV36X2l/x9ePgCA0+OnP/3psZzqd999Z7CfyvZA%20EZJoqkk1OUMulROu5sPDw+HP5Oc//3mq/f/yL/8yWpfS6dNe+frrr+O++sUvflHYC9r16/r/Tus3%202N057G+9wjYXwMFUMDSeHN1N8eMf/zjhno+Pj8btX2VurBxbzT3y1kNtEIB8zyqz0hjX61cqFXnA%20VKfk7q/PxC0b+pgLP/rRj9w7yv/3ZuR96L+8kmvbhnbWjVeplEKr/Bovm8796P97q/aHDoJC7NgR%202RrzRz/6Wl60kh9++EFev/rilX9//Phxx8vYHU708Y+OHaX611I2VphUmrFhINboQ20+4Pff251t%20JE4h0p7SOobMx3Rrl7xN/LLttoxbzYJcfBotV2knY2V15D0sO9S6q9WtKG9C+U83s94u/7vjBXYU%206DVK0b/jtmw9SN6OgYH+5370f7W1lzdTkC7Qz1vuU1eqi/nx8Qd10drjw1r+IS/dq6uPesTU24mE%20kIEc/HuyA6R9kHnQ9BdMNYjHUcnpSSN0nB2r6ReYtIZFXCk5NPziF/3da6qXbma4f3QR/aSpLfS0%20j/P/+I8ff+d31GOmrKCUOV1L/Yes9fffq2+F+MiN+o5oBZJXmvxD9u/Hj//ov+r09g3Xob6p457t%20tGshiYWxVQh3uRekLOm7wH8vJHcJyN2s56rKo1BPWj88Pkpx0g9aFaVXopJ9FMq/Q2Wb+7vDHejc%20jXFbDh/M4atcaptw5N16IebyMCWfuLWNtYvxlG9nRDs+lb2l/w41mrxd1+s/393Tre9G/ejtd9kl%20LKsL6oNk8PhJ+ZESFdf17rd78uRkm2wrlRvNFSdXin744XcyPCqFxsRdbo0N3ZS5a1xZ8v9XJHZ3%20y91kPaQVJWXpl7/Uj2s//CAeK1dXrjhpX1+qB1zXw5+XyyTayP5+0X9v2BL9o+j6lPzycsZ99Txh%203LlQniuj8SSyTv/seO+5F6hPtL7PRZz896frsss83IeKu8+kW+0nbSfpv6P/zWw/hZZ++AU1uYLq%20giHp9atU5mHRfzK7PF7s1a0XtV2k/SSErUZbbRr/A5bxGfy9Hszj7KeoRCW+fX6wrv9fKBNTyVLF%20bz89Knfflfz76x18MHk9KKcdjtzR78DiJA6+vtw2dtcBw3edn09u9xtyk/Hk2jGpnmh03dxHoSRl%20XTWKaqH164N8xSlq/WQYHP3+vZDHb8PwHZIia+yTxm/ov7s+U+v/6lN12801HLe2pG4Zf0FZyu8I%20Sr6oZIOc52IR5mvkaYPJtZ/8jj79t7Sl5A8lVKkN91TCk9nfFM4u4qRbW9VivdaePSEv/CsRGOMs%20cdJ/p3qgkQ39vfXf/rs+u4csqmxDa9xAVxx9CstS8L/vL04bHi784pTaclqvZZlfOIPRLgZ77uLk%20jnEZAogYV5m7Hj83LsmG4TtkLWm7MNiAf2Gp1K4SlVlCjEIiP2absTuYVbRjfTc7+lzByOxFUI/k%201m2f6m7an2dV20/uJe32bGjdc9wJyP21aWHNP60/yueZR3nMylrY1ZTH0RKVisHXAy1LP/r6679Q%20f/ffd4TcxXKKjpxJxsD3sZ98Lj7vv8mXFG9Y05V55mmrZvgtp1Q3ldrfJ067rAHZhzj570+/9bOL%20/ZR8QIm48v7R9Oz251Kldpn93mVmIq3hkhdFeJNU1zE64SS3SEs39fKcqNskjWdvr+sjXB0KOXIT%20Tqnq9RHKflKmk5IlIa0oR5zU6Pbxo55/0ktVE/Ln8snsa3dEk3+8pz7t7tYLzakX0L/nidMGIUmi%20MbusgEhlgabSsNiOST/WRKVof5ZTyJGV0JAyvlKX9sE/aj85NpOtTP6Pu1tR2QQm2iD7EKdsNtNe%20558sd+uW7bopEmlDRY/ha6Nnf/dZmV2eQvTzmWtFGS/yrQ5hVR11C2lJW4eUWCpT2tP7C/H9n1t3%20xF+Id8a/MkLsMF+YdnLkHeynreKU5Ox3lLe4tosbvvWFlXaNeEjVvrbGkSTGk35UlOOyK0gJXfzZ%20HF/+m1D/3FbvUHRYzNF+8rv4dpGo6Em6lYquethwkCcLf132pAoZHj72EchjwwH968v9b0Rltp9E%20Md6/jj5sudeG+9XWHtdjt5aij1dXPzw+ViybKdvUhR4ovrfXI8tB7fv3sp7yXb+XqrsPbT/lIk4b%20qp3v635qqtMeOH6R0MaK3pJu8AhpRX2dtC59v0Tp0Xkfnr1dZimMBfO1n/wSle+IH10ukUTn/DsX%20NpJbXjNPcVEV3Bs0tHoiof0kHLde2mnn/a2PiD6lifiIOxvGH316ypGnl5VLhfv4MblDLzS2+Oyt%20fl99+/0+wh25a/Ncq8i4JbTzaa7f25847d+/Fw7lkEGiUrkK/RK1J3GK3qWhldO7P4QmMfad5eMf%20cxGkPRkrJQzwr514rva4F2T0Qt3Rfspmye3jYtCOXP+UavS9giSn569gunP2hTMKFbRvlrXPFbWD%20Jm34uFl+DvwmQDp92n0Z+AZ9el9x2uoYzbCyPNqpOgJFQj9h3IiwP0FKZVXsaDkZO13WN5fZJsjj%20jugbL0h3e6r1Eeqyj66JKlJwRdeRu+GRK4lDWNbI7+jbx9qc8vBV5qFkx5FoFxXZbP3sMv+02TZK%20Ik5JJDzVOx/7W7NnFKQcF2HnMiZCYUUrbWcVP85vkmesJBe56+tLbfNtHT2OKkpsWofKrvZTMe6Q%20XxT24MmLp9mzv1fnEqkpj5q9rt8rIXndDhlspoSv7R8L0XxOpdAnAOAJAxLy3XffpU0VmNfvok8A%20AGAmQ9CyQqGm6/WCVObxAACgOCj7afdZLAAAgPztJ1oBAACKxq/RBAAAUEC+2ncYZgAAgAxU3j1z%20JQAAgMF+4uUJAAAoIMw/AQBAIe0n4eQ1CSVhY17qhInmYQP6993PueS+nN2H3NNrQzt+hLFWP/3p%20T7nVTw837gj9S/8W7ZxLDhESzPoUx8PDA21UZNJG1goFbaR/6d+inbO2JMpgThmrqaP5ZPvvEVUz%20H32C4vPjH/844Z749OhfzrngnJg47dd+gmO5pmkE+pdzPgFOz37agJt/NS6XGPoEAHDK9lNcNtS0%20we02Z1XdPVRe9PhJ9alSCbzJG/q4I/keDXLviLTb4Sj61831fHSdmNeAG3fA5MfxFwzlxc52Mq7k%20bM7E7eadSCJReQVZ3Xew1ujxv8p8cUN5oN9PQJk23M5Hd2v7lUAPavqj/G+2MdQ94A8//JBqEZ1b%20UP9u6OMu9pPskR3tp83mTkLhyeUg8UX6m3fAvweBAYunkBN+wtj8SF5m3HeP3n2Fd0L7yWhL7cPc%20ed8EF1+lusSNg1fIS6A/6p39Bf2P4cfrWDhGv0fmK8zflaEBjo47gf7lnF0+fvyojad3P5Mc7ack%20BlCqjsh9/mnv6yOMXgJ3izuohf44XsfCEfk9Ul00/q7xd0qod+i4I+3fEz7n3ad8imM8iT3MP+XY%202vu+2LKvj9hsQmV7MId9Dwe5X0903Gn37zGe8+7zT8UxnkTJ5p+2HiG1/eR33OVicjHi7Gk4SHu5%20bO0LOu6o+5dzLr7xJEo2/8T6iPIOYdmeGOK2wPH2L+d8AONJ6pxUuN1jvOY+/ySO5/2nfPTJuPZB%20JJ4z390Cg3eBjjvV3jzq958yzz/5C2qV2mVtuj7C7iN1qd5/ym19RNw8+YavkvxxpLfH6Q1Vxi10%203Gl39PF2X9E8VzkeqszzT7uujwAAgCTD917jRxhtqYKreIbfQp+OHiJA07+c81Fbcnuyn46h9Vgf%20cdJEc+cA/cs5Hy+lil++lU369N1336VNNQYHZpfEo/Qv/Vu0cwbEKZE+XV1dca2cMPQv/QvYTwWn%204s6t6fX7XB8AAIdn9xH49FRK2U9MsAMAYPIW0X6iFQAAoGj8Gk0AAAAF5KvdA0YBAADkr08//elP%20aQUAACicPsn/PTw80BAAAFAcXl5emH8CAIAigj4BAAD6BAAAgD4BAAD6BAAAgD4BAAD6BAAAgD4B%20AACgTwAAgD4BAACgTwAAgD4BAACgTwAAgD4BAACgT1lZ3V9UKt1p3LfT7oX83uLiojtdBb+edtX2%20+1XgYPFH23IWWQomLLvL8eGQvUn7HG9HZPg5NYKoArpocDSxRpfK5iNuHr6O/OLc9VRPQZ+qH9oN%20Mbq9Xxmbp9Ya1W+Wa8WyLUatmu/ykd/fjhqD5WuvypCT2yU5ve/eM7BDKS42NYKIxnnNt2k2frZH%20mOnTaKfhi7v4JPx7Vg97V4Xv0eauPxOdybCp5afae5Uq5RcjtQVxyvd+vWr1R4ujv6SsS2XYpEOL%203BH5X2xp+331PJ6JRvuDO4Q0GnIoWiz1l29zvSHj8MVdfHT65BjRF91u17Mcq2d1Yehh6/Glc9mM%20O1TX8fvJw5kfX3z7XNhGqt8hGG+9qscPx9y/uJ+uNtfleREq63gk484rYkDfOz8nT3Pq/rJ3Zsbz%20SV7WcD66Hbq+svq6lk8EQpqpdrNsbwfjcTa2g6FT4nb2dvXtaex3fRoXF3aHBns2cS26hlok+bmt%20V2PofNQn5xpM3jtpWy9ykvEX4bZbKVrfhP3lr3joW9PFtmtThNt5S70seRL1M+8Jt16XQ9Hoaep8%202Wm3tw4LMcNXouEibjhKeIElvou3jkipRq3kXF9fr4+GSUc9oQyWzp9SfSbaczdoeB8cjBsDh+pM%20lqHDBgp5+yy9XeJ2jhR0SsacRaAuDREs2xiEfjW2Nnqz/Vv674b1QR904/kkL2s4H31MX2foPwOn%20mbgdosfZ/LsxnRLa6p6L76Ti+t1/Gll7M9CUvhpt/7m43aIXrHtygRZL2jtpWi9yknH3VoKTN9Y3%20UX95fxq+jV5suzZFynqZblCno+xemoSuPdOFtHGkSjRcmMeu7RdY4rvY0LCG00s6aiXj8+fPR6VP%20gcYJ1tzUblvbZjmZDDodx/6OyIxvRNhySZoKeidj7NO4ugR39o1EG/UpeCUtE55P+rLRkTG8f+Qe%202dIOaX/X2CkxOzuaq0R3uaXfQyeXsjdDW4MnmeDn4nYzClRMJyTpnTStFy82hqsx0cmH5SlJf4XF%20KPBt/MWWsSlS1mtpEhlHl9QPyJ/19tlwIW1o6S1D30Z92n6Bpb6LfQ2b5BLaVZ+Oyb9nuXMDxvQW%20v64ym+NQjqxa63Zxfvn4aD/8Gn9uT+cZt4/ePuvXtKVcU3a2484+VLvldT77+F1jp8TtXO3dqEfN%202WzUqtVsp8P2fs+rFvO3VeKfS7Jb87JjeY58Ux5peydV6yUmY5Mm6y//1NCmb3Npih3rFZhOur0d%20BS+b3W+HbGV3qUvCht3HqHV8809ab6zbPhnOHW3qr6eRWjnxOuw1q7rTg2twtsnbrucZt4/eHno+%202XGaPnW75XQ++/hdY6fEn2Rz+LpeLuVjoxwxRv27aZJ+z6sWajRJ+HPJdtOX8+2VNyOftndStl7C%20oS9jkybqr2ADbPg2l6bYsV7+Q89ms9Dc9+63Q7ayO9UlWcPuY9Q6wvUR1g2q5xFX1tK8bc8XzU/S%20vBy1uoH1AN76cnsaU60QNem9PR7Yj91Oydp5w9lZz47Gnae8gawTtQ7fuQmtEvTVRfjr4my3Tjmn%20Fx2SnM+2Nk96Pv77fh+/a+yUmJ31MoJn0ex9ajd8t+SWfs/ces5Oeh93bEr4c9t3sy5nNfC5C8bS%209k6a1ktFliZN3F/+RSGBb6MX245NkbJeMbJhHTqqAfEXkm/4ijnzuOEiyXCUoY/SNuw+Rq0jXB/h%20zg2KRmfQiZk8iUwyddwFno2GPUXoO5J7LJPDdDnw7TVZbjqHUMGJW7Khpw3jfPiRugTP2P3VHeaf%204s4ncVnT+cTu7+ztzANvaYe0vxvTKXGN5v56x746Yvo9fv5pnbwWHWc3/yxDkp+L223btE/63knT%20eknnnxKcfORQSfsrOMUb25vOOoddmyJlvWImoP0rZIJzVOYLKW5lQqLhwjwcJbzAkt7F5jtxvfU6%20LNX6iM2XxqbpRYDDLd2B0pDLyBM8iPzEhXSM6yOcNwD0kvzlwnPwqr/9L8kBABxgTtxaDLHjUgD/%208LW6vxq3HwkZcIzzT9XeozJN1WtjlVprLg1kPQen3sNNPLEBAJDbmHTTiVmDlZTA8FXtvRLQxqNy%20fX398PBAQwAAQHF4eXkhvwYAABQR9AkAANCnY6Ik+ZxOI/UU6ZoA0CcouKiSewkA0KdT5wgzAGXJ%202kKiIwBAn/IyEKJZRhLlMYrL0BOXQCWSAWh7BpRD5nOKZnNJlQ4nLtFRgpxYwbPdliBnhxRTbsLs%20SjBJtjGD0fazSpzNCAAKwjHmfwpnGUmRAykmQ0+SfE7JMqAcLp9TNJtL6nQ4CRP5LDclPdqcIGen%20FFOR5Eo7pe3ZkM0IAIgfsSNWPtxG+4NK117VwTJ9SSc7l9Z2HUq3/Ul9qJ2HjtAYWNutl+qSv/a9%20+XeD+6hX65pWAMvkZaNsqUtzKIfkS/EsjcGLljna4+bfNQfbSHDYbPtvrs6WJpp2rWN39MvYTk5k%20a1/5++vI24wbz4ooIwD49/bi28s7y0jCePXJM6AcJp9T8uRVKX83bZKY7Ellkp9qUJ32mLYHANCn%207OSeZSRhvq/kGVAOk88pefKqdL+bNknMDkllkp5qSJ32mrYHANCn7OyeZcSQoSdxPqdkGVAOkc/J%20wpDNZZd0OBsOm+v+aZo3ok4in7Q9AIA+5S9QQzUn3m/VLD+QmgRPaYo0OudPV5YPST6v67I6bbRa%209HZxJ+qNzL8r9xk0LC/VxdO5lwpl93M2nc7EDZM7rlvZXLTlJgfvhr1+b5X+d2MPm9P+abvVmmoS%20ekGivRhPZdOT7Sx3Vvu2Ro3OJBzrObezAoB3pjzxYeXDthzPBsuk0YHlg7yUsc6Ed4MAAA4O8WE3%20sFTvMDF1AQDwTnxFE8SZTtabOqRiAQBAn/aLei1mmGxXFfOnx7UBAPCe4N8DAAD0CQAAAH0CAAD0%20CQAAAH0CAAD0CQAAAH0CAABAnwAAAH0CAABAnwAAAH0CAABAnwAAAH0CAABAnwAAANAnAABAnwAA%20ANAnAABAnwAAANAnAABAnwAAANAnAAAA9AkAANAnAAAA9AkAANAnAAAA9AkAANAnAAAA9AkOx+r+%20omLRnbrbpt2Kf5v7MbRb6ACVi/tVoLjzOQa5mzyYV9w+uPtrF90/2XIEAECf4HTV6WrcXq7X6+Vg%203rKlZ3X/dK42SYZNpSPicm0z6XQum6FDVHuvcrv6a9a/svSkOZSHG0zWr73qJnG6PV/K48viy8mg%20obY1Bp+aqrT8PJgs16/D/+tRXEUFEQDQJzh9eXoei/aHqqUyN53RrZKX6V1/1K/5jJ9m05Gk1Zs4%20rxkPdD6wNGbWryWSk2m3JSaufFWbvUddWunb9P5O9HrNqq19E9FCoQAAfSohs8UyuEFaP8qcEv1a%202Lu2el6cf4gziWpSSpQVNQrJyeq+e6G9de7RVve3c8tU8hthtkLVLt7Ohv6vmp8G81vcfACAPpWL%206lldjJ4M5onltKv376ZJ5Ukrm61QF/dL11Cq9Uf1yVoebOTYVtJom9XPqpFftBRKzMZvq/A5RjQU%20ANAnOHGUpIxa1nKE1qjRDshP87KzwXpSyxgijrfmcKnNoFZ/YZV5mwvRUD7B2rncPnekp2FyEy5F%20vdHwZrE8y+y8MX/DgAIA9Kl0CmWvfBCdm+B6BktcfPKxEH6jR5UbNg2GlzaDUjO9f/swfL1RkhhR%20KAAA9KmcSFuoJSYhtZnejdu+SaLpk7hsJjlY1Z6Isv4+q9szXMvFTAjXqxdy2K2m3a74oNTRNcB8%20CiWLRt2B74RaDR+2Gq0V8oG5OtNeAIA+QUplktyeL11byH396OnSvz48Xp7UYNzq92u+EdmeiBK2%203igHYmveGSz1b1Q/tH0OO1W81hqNWnp2anrXn1kK5h5QmnGNmFWDBWIWnKsDgL1wfX29hu0sXT9W%20Y7D0Nru2Q2Crv1Qj/nvlZZv4jizpTPzH7Pyv5sMeGbqeee96oE4Pn461bSD71e0Z014AsCOfP3/G%20fkqI773U8fPKszNGtviY306VpV6X5hmaEr2yKg0s0UoQHEIaV1HHY5FMT7cOZ73H9jhqQlmevntf%20iA5TuA4AwL+3B84bjYBATd/mjWxHKtkrq83hWirt5mpMu7XFzbqQ6qRm7ObSXvI9hFR7N+Z+GY3F%20o7YER63KlfW3cnryUhcA+rRf2u2OT6Cmb6JdDz4/R95OjTEU8nhl1bjmu8gG6GbtkRpWSHF6k1bd%203GAgx/SLsy5SLbG3/1ZTcLzUBYA+7ZkPl55ASXn6cBY0ACJvp5rlKZ9XVvWa70DE1QrepLyR9tDN%20QJjWQ1TNTj4AQJ/eB/nU3NACpeTJrzFxb6daq67D5PfKqpoYC2OyQyrHRkE6XNpATTdaYaTtlZPv%20mbsCAH0qBMpZowTq6kl8yPU1nYyvrCa1n45u9U6hnkqGk7qxT5STr6/XyAMA+lQQgRLh6HRxb6eu%203gwHye+V1aT2E+xqNwuT0zZzBA0A2ArvP6V8/8l+Y0m9/jLxRayzXodxdmp07JdjJoGYdu4rM8vw%206zPuoYNF9Fs1gb2D7wrx3g0AnOz7TxWpTw8PD+j0gZl2K0+XyeycFLsCAJwILy8v+PfeyV10Aq+s%20AgDsE/Tp/RTqqF9ZTWT3+SMoOOs23Ih/F90/ueClVQCI5Sua4P1Qr6xu07AjtZx09KZXFa3pdXl2%20f9Xqz+zoTWK4nJw/iw8qQIYVD+gG3yUAYD/BodSpVNGbAAB9glwNHO1k61ohmbSnzd5ohzi96E5X%20U9+3Xvwm6ztvfzcmqp0iI5foTQCAPkEpsZM2zcTlUEmHTmikg2OIufjwKL+djVp34pN6YdgOODi9%2064+EXlc/Gz1NdaR1dZT5QrQnS/u9q5yiNwEA+gRlxhhnSapL1fm2agVrcjRtvX48e75/UpngdcSl%20qiVps9FY1KpbjpopehMAoE8A25l2L2pPZ73LesAw8llYG4pmi94EAOgTwDZW97cjFWluqgLhuhul%208FxaDkKf6OQXvQkA0CconSnUUql/pd0zfR4r1Rm1utPpnRXqdHR7f28lBpY6cnGlNlnTUzoQ+/xJ%20nLWdEO7dSq3VX+gAg2rxg1IdFZ/Qc9ipJeS11mjU0rHr7F9QOzurKd7mRncgAJQd4hvBPsSP6E0A%20sBPEN4K9QPQmANgd9An2o1AnHr0JAPYO8Y1gT5xw9CYAwH4CAAD0CQAAAH0CAABAnwAAAH0CAABA%20nwAAAH0CAABAnwAAAH0CAABAnwAAANAnAABAnwAAANAnAABAnwAAANAnAABAnwAAANAnAAAA9AkA%20ANAnAAAA9AkAANAnAAAA9AkAAAB9AgAA9AkAAAB9AgAA9AkAAAB9AgAA9AkAAAB9AgAAQJ8AAAB9%20AgAAQJ8AAAB9OjFW9xcVl+5UiGnX/nBxvzrp+gbqt6XWstRF/PeysGy5DS3Z/ZPTbEwAyJXr6+s1%20BFhOBg3VNI3B0vk8mCxPuMKTjvDX17jF0ExWK0V2kUXdbfEtqQp3JlxrABDD58+fsZ+iVJu9RzWu%20zvpX8il/en8ner1m9ZRrfN5QMjIbP9tGzfRt3sh2pGm3JSavveq2lqz2XieipawqAAD8e2kkyhlX%20axdvZ8Pmyde33e74BGr6Jtr1oDuve6Edc5vdcqv72/ngUzNZSzY/Dea3uPkAAH3KplByzH5bxQ3G%20vvkV3zTLUfLh0hMoKU8fzgI2Ua0/qk/W60l91K9tqOLqeTyrn1WTtmT1rD5bLE+8YQEAfcqfpag3%20XN+UUcFeIx7T4zW1pDXT0AKl5MmvMau3uRCN85oQtXO5y9xRGSkv0cNY+yVtSXm8uUH9T6thAQB9%20ypnp/duH4euNZVWYFerEHvOrH9qWQF09BeXpAC2J/QQA6FMyVtNuV3xQk/zN4XIQZ0Od2mO+LVDi%20PCRPlp1kOeKWi5kQrgNv9WY4SMhht7kl5fGi7kDsJwCwYX25adW0wlr+bC+09jacbH1l7dTfaim4%20v9LW0nBnp0bHXiju38O3xlzu560339qSgb0BAELryytSnx4eHtBpyMeZ1608XSazdlLsCgCl4+Xl%20Bf8e5ElzOBGtBMEhVvcXLTFBnAAgHvQJ8lao9aO42ryeYdqtLW4wnQBgI1/RBJA31d7rcJuGoU0A%20gP0EAADoEwAAAPoEAADoEwAAwAFhfUSYSqVygF9Zr9elqu/JNBcAoE+nPBoWTRIKPvofhYICQO7g%203wMAAPQJAAAAfQIAAPSphEy7OjXRhmhzKpPRaWcu2tgIvkROXit4G30tY9wIAOgTpEfHN7WyRLTH%205pzncuiu9WflbYRptzZuL+1UG3M7aKzKFV+fBLf59vRtBAD0CbKwXMw6l1YMOZXWb/Q0jZoVrflg%204qZAKl8jTJ9GnZuezj5Y7d10rMyFq7d5Y/Cp6W4bP6/0xrZOiujuCACAPmWzHOSQel7Tf6v8svO3%204DN/cyiNgddercSNIJvAC1AuxcrdNYIsq4VKWWS3G3YEAPQJElgONELSRlBuwPngUdlSSor6d1NH%20ijwpu1nU1OyT8vO99qq0LQCgTxmpnTdohESNoGbhfKLTHKopJiVFV+LG9n6qxRG353qmSukUSyQA%20AH3KjLIDnGmS1dtc1M+qNEKkEZTwqAUUAYuo2nu1lOi1JxYzq4i0w5z5J9G87EScpQCAPkEq22F0%20ay00Wz2PnVUCNEJQnKylesEsudKcstfnKf+eLiIP48w/qYmqcoo9AKBPedkOvddJvV+zp0z0GHz6%20bzulaASlWEKMWpVK4BWo5tAu4SviHcZa9Lgk7zsAKCrX19cPDw80hNcilcoB4sMWKn558ePDEr8c%20oGy8vLxgPwEAQBFBnwAAAH0CAABAnwAA4Hghf66BsiVsJUEtAKBPxwH53ZFPAHh38O8BAAD6BAAA%20gD4BAAD6VFY2xzQ69YhHvgTuptTs5qzt7lY3EJ//IOR4BwD0aXc2Z3A//fzuVgJdK1m7RShunjGV%20u9q6uLF2n9T7V2qjE9Bcb+wIJ8EuAKBPkFGbNmRwL0d+d38CXeOXkVTuVtZ3O855c7gOpyKcdp1E%20hgAA6FNGNmdwL0V+d2U+zey44wmdcpaivXUD/j3vS5Vx4wZ1AgD0CXY2n0RjoPPerpfnt0G9Mady%20F2LWX1zqEu3xlb/E9K4vcO0BAPoEO6MmjlwPnT+ZrmNDRlO5S9zpJVXCSUsoLM+fm0UXAAB9gj0L%20WDCVu9SkmH2RJwBAnyAnvFztwnL2hRK8m1K5i+Zl3Xb6WXNRriIFPgAAoE+5Urb87s3hsj12lkdc%20iUdrfbnXCKZU7tZWoZO+1xY33vq95WLGBQQAAcjvHmkR8ruXr0cAoGiQ3x0AAAoK+gQAAOgTAAAA%20+gQAAOgTAABAnpDf3UDZEoqTQB0A0Kfj4ADry0tVX+QTADKAfw8AANAnAAAA9AkAANCn8qECzW1L%20zVeSiHyhak67mxrG+K3XmGUKYAgA6NMemHZV0FOdZ28wb4VTwdoDca0/K0FLBKoplaYlJm7DhOTG%20/K1szH59sqktAQB9goSD8pOXibzau+mEUvNZRkJrPph4aflOVZvC1VQ5n+xY5dUP7cboKSBQxm9V%20bg07aaHVlr6khQCAPkE6mkNnmNVi1Tivhb9Xaflqp98MG6q5eh7PQjmhEn8LAIA+7YjyWM0Hjz1S%2064VapVKp9YWTy33jtyrRu520UGUypPUAAH3aGTX3Mm4vX1GnEHZm95tFzTSbFP62OVTzTjrL4c2J%20u0QBAH06iImg5voRp3ial5GZOfO3tmLJxhSLWf2MFgUA9Cm7OFlLzobMn0RNSs9kiszMmb/1tir/%20HpNSAIA+ZZen5/FMiFGrUvG/y1OSt522mEzDZXtcs1vl9lz7Pt2WMX4rt07qfWur8pai+QBgUbm+%20vn54eKAhvBapVA4QH7Y4IVkLdTJHeoYAkDsvLy/YTwAAUETQJwAAQJ8AAADQJwAAQJ8AAADyhPzu%20BsqWUJwE6gCAPh0HB1hfXqr6Ip8AkAH8ewAAgD4BAACgTwAAgD6VD5U71ou9Z+aUIvJZSZvMFTZV%2007d7sJT3ha+IcSMAoE+QZbBWuTUUKnWRcVBVyaH6s5NRYxW61a2wL6tTTDWdjBkWk46wM7h7x/Ed%20xrgRANAnyIAafe0429UP7cboaRo1rlrzweRUku1Nn0adGzvRVbV34+RtSlbNadfNMLx6mzfaH6rB%20wxg3AgD6RBPsako9j2eRlEXNoZVsr3YqlZT18dJeeFmdklTTSunkattZfTZ+dlM96cMYNwJA6eH9%20p12kSWUpnInGYNksU52lNbQcJk1xO73rC1/7SEUTXf1Ck2w2O/ewcSMAYD9BZuw5lptFrSRzJmqu%20adxOoyDK1rJ9d7a6qbSEa7vZ9GoI40YAQJ9ogp1pXpZhzkSpiFoTksq8CcmTWC5m7mfZbGL+torZ%20CADoE02Q0ZDwTCZvPuaUxanWr0/WKXOv+1Y+aGrnDWeqSTWbqJ9VYzYCAPpEE2QymYbL9rhmv7Jz%20e649Xqf0tlNIZ57HMyFGrcjLTGYzy/1SWkbBb6u910m9rxvOmsZqxm0EgNJTub6+fnh4oCG8FqlU%20DhAftjghWQt1Mkd6hgCQOy8vL9hPAABQRNAnAABAnwAAANAnAABAnwAAAPKE+EYGypZQnATqAIA+%20HQcHWF9eqvoinwCQAfx7AACAPgEAAKBPAACAPpWWjUH3Tikin8qVG42952w1JhhR1U9WxNuT7BoA%20gD7lo05X/Vn8gF6L/fL4VFjl1lAsB/OWrSHeVhUttxvJcW+FPLeL2GpkLCL3HLeX69CuAIA+wQ7q%20NK53GjHGRms+mAwap1FTlYnRDite/dBujJ4sYVkunMz2vo1u47zNG4NP+tveTcfOoGEqMn3yJYBX%20u55+Mi0AQJ/2rU7tx0/npu+aQ2kLvPZOMSmUyrWhJUYpkJP3qnpWT5JX0FhENpaXUqMEybQAAH06%20gDr1quWq80WlUusL2yyKZHcKmlxn9Vn/bqrL3Y70xs1FLO/ffFCyVgUA9Al12hXl5ZPcLGrWFFHt%20fKP3sjlUk0lqycOVuLEdnZuKqPm6cXv5ijoBAPqUXZ6ex7OZzviqlkCMWpUyzek3L/UUkbKQnKmi%201ds8mpfd1rP1a08sZta3cUWUZabWTSBOAIA+5WFI6AVnDdE5+YFV2jaeArtTRNIaGt1am71JKVMZ%205d+zvzUVkeJkrfQjrzsAoE97sqpO6G2nsMk0VMvB7TeUbs9tJ5yU6UndMiOVY07Li9cIzaH9pe9b%20UxElVELZoBVegQIAH5Xr6+uHhwcawmuRSuUA8WGLE5K1UCdzpGcIALnz8vKC/QQAAEUEfQIAAPQJ%20AAAAfQIAAPQJAAAgT8jvbqBsCcVJoA4A6NNxcID15aWqL/IJABnAvwcAAOgTAAAA+gQAAOhT6bBy%20IW2LGHeCEflCVVKJghWm+O3mJvK2eodJ1JgAgD5BElSi8okTxNwYelvlM+rPTk2Vr3xVUukEhdUI%20KnpsRFZMTTTtWqHKrcDv85ajatsbEwDQJ0g4UPsSlQujNlVa88Fk0DgxdRrXO42AAOm0GdUP7cbo%20abq1idQ2O/tutXfTmY2fV9sbEwDQJ0hlPtkJCo0OqebQSst3UmOuzhn86dwoQNWzupi/rVI0UaY9%20AQB9gq3mk2gMlnaKwvPb00+fa8hoL2UlbROp/Ln9u6k+4O2orI0JAOjT3lAJdN2Uuf6k5eVRJysX%20buomag7VvJOyk67Eje39LFtjAgD6BLnJ0/PY8cCpJR+jlrVezy8lygaqnyXJca/UaG15P8VilqwI%20AKBPkJRp17eiWo7N9jKBUzYXbZbS6OlMtL0jDajRrdUMSsBCbWBuIm+r8u+Ft5WiMQEAfdonzaFa%20UW3P6F+JR2tJ9Am+7bRVtiZ1y6yqjdtLvSzcbQRjE8mtdglfEfOeAFB2KtfX1w8PDzSE1yKVygHi%20wxYnJGuhTuZIzxAAcufl5QX7CQAAigj6BAAA6BMAAAD6BAAA6BMAAECekN/dQNkSipNAHQDQp+Pg%20AOvLS1Vf5BMAMoB/DwAA0CcAAAD0CQA2oYJRKdzwhyqvZvxHAPTp2G7uDffvCUXkc2sbTCKoRzBD%20GwT3t8sk3wgH4cOjivk7qes8xtNuS0zk55vFlerO0EeAw3N9fb0GH8JaL7CVSUeF8bb/crPrhfZQ%202Htl+ImC1tfDjmUe+CuucLSJEm8sVHOdIMvBwOlE95KWnRD6GOoRACM5XpifP3/GfsrG9GnkpIFo%20Dr3sesJnVrTmg8mgcSrGoi+Xu8ty4STVqH5oN0ZPMWaPfA6fD8LJDZNvhD2bxbV+3+q6UD7kzemR%20Uz8GrbOMXJQ6olJiD88t6FP24fqtG+vfk5qlMvDVTqbCcrCyExR6/je/ZlXP6mL+tjKOgLejzk1I%20c5JvhL1iZfaadKxni1A+5M3pkQEOAPqUlVl/candI+3xyfvnVXpc18ezPL+1JHnzA7ZjEt31xeBT%20M+tGOAC18456zpDPGNoGnj7N2x+qoY80E6BPx0PDGUtVmnM9v3zaj9muE9PJ657kAXv6NGpEBrfk%20G2GfOItbrsQnq2+bw4loyc+355aPNfQR4OAQPyLbeH1WF280Qn32JHWqahtY9cuqUZ6W1awbYa8o%20L/Rw05boDgDYT0dwa1/W+3feNMypP/jLJ21vlk1WWC+LkAbU6NbavHoeO0sl/BibJvlGAECfIMuz%20p3Z+VCq1xY12fZ3Q207R2i7bY2d5xJV4HOpVe73XSd1aNVEbt5d6W6ARjDNUyTcCQKmpXF9fPzw8%200BBei1QqB4gPW5yXSAp1Mkd6htwj24uISoYFyJQ6olIV6/9yvFVfXl6wnwAAoIigTwAAgD4BAACg%20TwCwEfsNKHttpi9Sr95C/HJAnwDgHVjdv13q+OV9FQFltTx7tKP0DtRaf+KXw3vD+7kGypZQnATq%205aTa03Ehmped2zf5sWm/wDZ9Ex+aYvU871wOra/rt8+rXjCGhFqqlfYyE1kuM0odVyn0ae8cYH15%20qeqLfBab6ZO4GXrqo+VJTBczcRZ/zQjWl1Nq73qGfw+g1Cgv39AX+kPJkxIr4pfDu4M+AZRZnC6u%20lLU0vXdzutvyJIhfDu8O/j2AkjLtVlojZSlV+ir7sStPtjHVHE6elG+1MVi+Ik+A/XRET52VIOa4%20eycVkc+tdGS9cVw1nfwNgebx2s5Jc5iwMSFvrCyaNo6Hr+lfB6F3eCW7BqBPR4SVddRh0vFyQYVG%2051r/ZKKeTru1xc3atxp5WzWl7Ojlyev1cjBv2ZojDzNuL52NltIlakwAQJ8g9bjdmg8i+duU5SC3%20TwanMsU8fRo5+TPkQ7XzRL2pmkp27Ify6od2Q09l+NJoVHs3HSvN4dbGBAD0CVKzur8ddW6iA6rl%20GHnt1U6mnlJXzt+6Yf9ewmp62aF8uYZV0zXOawkaEwDQJ0htVdz1RVm8UbP+4lJ769rj5PEErMml%20mtdKUtFuFlYiKeXnC8xslKkxAQB92rM8qZzkZVl5604L+Wyg7diTS1KTLKtLydXtuTX/ZOmUbyVE%20qRoTANAn5CkfpCbtVL55qeealouZ22Rym5i/rZAnAECfcsY313/6NC/r/btpmnpPu76JKqU+aq6p%20dt5wbS+5TdTPqiVszAI9YnWjbwxIG9cxa4lfDujTkSJtgZBgndLbThGBGk5EyxrMaoubDW/EuI3Q%20HC7b45r9RtPtuZ5rqvZeJ/W+3tqaD5ZuXJ1IY8IBnrCC8cttSXLfFiB+Obw3levr64eHBxrCa5FK%205QDxYYsTkrVQJ3OkZ3j8ZtTF2yf1ADHtdsWn89u7s9dhUz5pWP/f97WvRwQdAoZ7Nc9g0y8vL8Q3%20Aii7PNnxy6fdp8vhUNzfuiYt8csplaZI7pcm+gRQaqz45T39+tloNhpZGy/Ol4/EL4f3hvkngDKL%20kxu/XNhxppaDRmfy2qsSvxzeHewngJJiil/ug/jlgD4BwLugwlMNI1urvdfhxh0A0Kd3pGwJxUmg%20DgDo03FwgPXlpaov8gkAGWB9BAAAoE8AAADoEwAAoE/lw8psZBEfc+9UIvJ5da0E6+z7wlBPO/qo%20cfe4L042gCEAoE+HYdpV+fX064zzljHCsxyd3VCbR46dxUkz6Ti5oLxGMLSClBwdXlR/aelO/HH6%209cnGxgQA9AmSGRReOohq70bnNgpbDq35YDI4uRAx066s16MVK3T65KVjj7aC0iI7PHn1Q7uhQxEY%20j6Ma005+aB0mcfJD2L03A/k1tBnrmbDk1wD06RgNCi+HrApbZuU28qNebFy/9monp8uysq4myUq6%20+THcDE/GUs/jWeeyGXcceLfeDOXXkM8US++RivwaYKJSEQd74wN9yoYcm1V+cpUOadxevpZkpJ3e%209YWT5j040F241lDkG9lE4VLB4yixt5MfKt3i4jrYU1avZ/WBymRs9BHoh4rmZT1q0lbsYSrpvwxF%20KFW4Uj5lMhZBn4ry5Hmhcu5Z8yhKp8oxq2/Owa7m2WI12p5xkm3k8xKFj9McqnknJfZX4mZA1OzD%2096sw2LKbU0auxTrVvwxFKFWoUirhhtv7a2Esgj4VA3nvuiOsevqcv63KMIxF5EnptHICbTMgZRt5%20s1OG4zgLJ157YjFzk77Dobx8w6hNLGrk1wCfT89TpgNGm0GfMiHvXXcaXw63ogxDqm9NiCtO1ro7%200+BmmVWeyeSfnYocx7erNS912eQCO6AjwMmvEX7CIr8GRMXpwKBPmZDP+5N635p/Uuv0ltYQfSpv%20O8XbjMGh7XksN4xawZeZ3EZoDpftcc3+5vbc8/9F/UbNodOYylE4RJ4OZRBbb0DMVNO3FtYTllrp%20PxvZS/xlt4iW1XmPrGQprTK9ozipE7i+vn54eKAnfF1SOUB82OKEZC3UyRzpGXKPbC9CHvRjKxWa%20cEpWJM9g0y8vL8QvBwCAkNqs39FsckGfAADANY5FKrNprzD/BAAAhRMn9AkAAALipJRpXYikoPj3%20AABQpgKZTejT5t6qUF8AQJzeF/x7BtZ7pmz1PbHmOiFCAcudNFzOi9XELy+POB04MAT6BACbCQYs%20Xz2PrTRck7oVrpf45aeuTO/77i36BADJ1cqJaCRUjCnil592JHKf/ySf39rHJcn8EwBomsPJkxy6%20OpP1UJpPi5k4i901bUgCojMUp1TEbFrn8lv7kCjsp6w4vvrKhph7pxSRz1hfO/+qoRG83Y17hFvG%203Z3Jjndk2n26XK8nwgrAR/zyk6T4Pj30KY872QrdLVGpi4yDqo6+eTr1HbeXwfqqrITWBIXeGFQo%20J2OGxaQjGr4MhZGWkUdf3KwDqVzhHTr5yUoO2fw0EOPnFfHLT0+ZjkucFNfX12sIrhbbvtNy0GgM%20lv7Rdxn4fqISkjYGk0FDdCbZfqLQ9Y1UammuabR9TC1jOmBRm+vEmOjMuXb/uGsl7O7Q34Yv7kw9%20YuWzW1PqvUpZTjz7355+S7sDc7w4P3/+jP20J0e+lWyvdir1USnY7TlylaLJzeXkuueex7OYvE1W%20SicvPauhZVRCqPO3Lv6997pQ105+SdfotXOc6G9fya5x3HbTuuCLyPHv7WO8ttbg6vG3FOOYymNv%20p2jyj1jWzFGtL3z+u4DP6C72Kx+z/uJS22HtMf49gPx8ei7H+CYh+pR1vFZTLmq8vhI3g5OfSFYi%20dHuu3TxKp3xzTfYzt9xqMn0MudxNuLNTPkMNAHZRpuM1m9Cn3U0o2xfy2hOL2annd18uZq7MNC87%20Yv4WlhC5dbZYZpInqUlcTgD7MZsKEukVfTok064zU2LNr1yeeE7y2nnDNWvUKi9Lj702sJUoPCtl%20zSwlsJ6al3XbWZq0BACcrtmEPu1Iczip9935GD2dfEpvO0WNRae+ldZ8oCvcHC7b45r9dtPtuZ6V%20CjSCNLuStqawnKWV2uKG6XiAnc2m04hbWbm+vn54eKBrfX1c2XdM0gP8xJGezJGeIffI9iLEdNhn%20qQ3KdLAzrFj/l+Ot+vLygv0EAIDZVETQJ4DSEsqv4caZsucVya9RfGU6pdkm9AmggEyjbyc7EQkj%20M5qGL+Qm+SkQIdE+Yvf/7G6Sl2B+DXkez+LRfSWX/BqYTegTQOlpDnUsIe/dr9VyIaw4Q8PmFk2R%20snQlHuVu6o0HHT7qvCaanyaT5Xo9/D+GMW+mGa2p237ffbmN/BrFLeUzm9Ty8XUhzhB9AjhZzjud%20hitQq6U4r4cspouuMQzx3bj96AsfJRVq1r+6uF82m/b7amqZ5V2SdaX6lb7l+a0lUZsXX65tf1LS%20fxmKUMpYSi1c8JlNxTlD9OlghvN+KVt9T6y59iZQl21HoKZLUTtz1emqLwbL9bI9N8R2jwQX1wo1%20G/veoPbyDopEKvU4EG/k1yjiwLQ+7dkm9CkRBwgZXqr6nlhz7Y3aB1ugpJY0Xc3x2zGGEB1Rg+rt%20XBlifZ/JlFJqlgtxVhXk1yjYQ6T/hi1LrdEngKJQ7d1I22d89SZ8k05+cYmG6Ahp1mo6rfV6w8dB%20Q4xa3ekqKnEhMevW+rORTujlrq94urTfv9ZvTd+eP/LK9PsqU9nMJg/yPx0+25A4uvxPnOFB0jB1%20JtZf8v95KyB8H3QiJntf+zv50cnP5Mvl5O5jfSfLb8qvdZAeISdTtlL+vE0Fr9c+8j8RPyL6tEL8%20iNL1yDGj1+/FR4Xa9v1heoRIEGlLRR16Ba8X8SPeexwIvIwy3Z5R75Qi8gXerolsM76p47RQ8Cu3%20kOFln8qpBjDcq1Pw9VFcxbXbtJu3OMFhfHohcSon6FMy5FBb688Cg6x+eVFl1KsZB4dwkSOvf61f%201/UdzFuOsiwXM5/jKPimjtdCVhGnieSBFjfaHVV3lqOZDw5pJGoYE0G/OUScjk2ZyjvbhD5l0yYV%20tHvifylSjcw6qUb1Q7sRWb1rKnLUxtPb3EkhqObw7bd0rMTstfgx01EsXxNNn9xkJM2hnTncfHAA%20zKaygz5tRw6kKuJLLTReOyOzSq8XztdnKHKCSJGe9WvbHXOr57Gt5la7vW13jAJgNgH6lHlkLlV9%20Vdp1+4UalY/RFWnhrB1TUQdMemNNLNX6wsnfLsSsv7hc245R7d8zHhwAswl9ogmyULp365tDNTWk%20rJ4rcWN7LZUHz53cUCJjeHlUh8xZ+2LAOa48q4R25ZkODocgFL/cXtDiPmgQvxyzCX06UnvCGY2V%20GWHlOz/xKmulkYokFrO09W1edqz2Ur7Q3A8Ou3Sq96bV6v7t0r9whfjlmE3o09EaUKNb6671JldO%20GfkkbT9GKxecrq+3TfiiXUdLCGtZhJ6va17WncA7ai5Kx80xHbx8D9H7+JdSrHpN+2Ei0KPEL8+/%20lC+S3tYA5MdSr33cGl8hNVkfPCeLSq3St17Rf23azhK1dnp4isNrczh50tX16tscLt8u9DZvq9sI%20kW+1J9A6kL43VfKIatzBS/kQXZBnkSdxIztmupiJs9idMry8yfu5MWbT+kTqtQeJQp9SObiCQ/Z6%20Pdy0g2nLMStUqLp2/XqxVTZ8G3cg07aSUDTHjvLyDXtCEL8chx7+PQAokDhdXIkPTTG9v18Rv3yP%20hvK6QoNgPwHAJqz45UJcnC9fe8tupaVW9ytPa2eydl2xyueKPOVqNqFO6BMAbMHvWK1GnKwldrvu%20UZwAfQIAQJmOG+afAAAQJ+yno7m2KtQXAFAm9KlwHCA/Yanqi3wC4gToEwAAynQiMP8EAIA4oU8A%20UFx0OHMvoDnxyxNI05oA5OhTQW7eSBI+48aE3x5ZfaehtILOYObRNWQRjkleGDx48FBH22LHzvRu%203FbpvCaipfqA+OXbbCbMJvSpILdut2K9aL99Y8Jvj6y+UkH0YKXSCtYsBXFyYlhMOl5ip3CJtcru%20FFK6YMssF7POxD3WsMn19i59/jTSqU2al53524r45Zv+hYIVrYnLvpdFTOhTorG60poPJoHMecaN%20Cb89wvoqBdF5L6of2g0dl81fQu7/2AsEwVHyZSuNv4jp4FbW9xoX2jtTO29IWfJ3+Yad17Y3K+m/%20DEWKWUrF9a6sPZtpXTmNeu1eCn16H1SUl/Vrr7Z9Y8Jvj6++fgVROQb945hO2nTTiw/R5k+RZWoZ%20ORLO+jW8e+9MtXdT193QUgFhiV+OQw//HhwDm56lp3d9EXTtBb18lUptww5a/FQMUu3cW57fMh//%20rk8my0HHsoWJX75BmRAn9AmK5PqJlaenUSN++LInqW4WtXjVUfu8OuaXHBWtTPBwcOxVKlfik5tK%20UrTkhtvzx16J5Qllekd4PxcSoFTjSapG1TZ36pdVvzwttw1fzctOyykPRe3kSD7Jkscvx5uH/QTH%20YkCNbi0LyD+ZpCemzNbTtOt7cUapWOwKiMCe7qoxAMQJfYK8OOq3nbY/W0/05Hlt3F56K8AjE1Nu%20IzSHaiW6vejhVuW/izOeAnteiUfWl8M7KxOv3BalL66vrx8eHmgI39VZOUB82OKEZC3UyRzpGXKP%20bC+iFmWn7sTDl0prNh1LvQ5QqmL9X4636svLC/NPAABWpKI0ygQHAH0CgJKbg4GPiBP6BABQLHFC%20mdAnAIDCKZMVQQ6BKhas3wMAD/2Wrl7wf6r5NYhUhP101JdvhfpCOcXpSjyu19arAHZ+jea0KxXq%209TRCSDDVhD4dPQdYX16q+iKfx6JOV/3ZTNQq/c5kPaypN6VV9IjmZf32edULClSGfArZUjDkVqoS%20vMjXOoVEkc7wJEqhTwCwB3l6HovBct2rTruV2/tPN4uZOIt/phHH9P6TyZu3LtQZnkCpfegZ808A%20YOPmJxQbYwIfEQSDOGrQJwBQqIQaVozF1dtcCtWx59dgEQT6VCZC4fXsbAQbU+oddUQ+48nHNoKh%20mr4W8u2g14SFihg3woFpDnWMxdriRsVAPN78GpU1STHQpzIhB9Baf+b/rOKk6ox6g3nLtAQ3XOSo%206xvXCP36JLYNVE74ydrBivoqJctaE2YX0WJk3Ajvo1BeX7kfj2jpHokE0acyalOlNR9MBp4/fvrk%20ZTSv9m464ZR6hiJHXV/jRpVbw86La7XB+DkgUP6c8A4qxZA9+FU/tBvaf2TcCJBenFAm9KmcD5Wv%20vVpwk5cFwpDcyFDkqOubpUbSfJr1a7Fuu2AeqU0bAZKbTUqW1ryQgD6BNaLeX0izopQJsFVS3f6d%207aK7HYUb5m0uGgPtAl0vz2997j9rYqrWF7bxtWEjQGJlEiyCQJ/Ah5qQGbeXr71y5i1vDtV8kc4q%20eBN2ZSqvndswSso8F6j6SnKzqPlEy7gRILEyIU7oE/if99W0flnFyS8qshHEYqZfnkkhb5eRebuY%20jQAoE/oEycXJWrpW7lTk0ny0bR3l3wvNG3lfCsvZZ30d2OjM2xk3AsSIE8qEPsFGeXoez4QYtYJv%209xz1205ZcN6XqVheTq3VbiM0h8v22FkecSUera8DG2/PtWfUuBHexyUQCFheqPjlRIIo4+PI9fX1%20w8MDDeG7DSoHiA9bnJCshTqZIz3DU9Gn1aparUpVunj79GqF4Xu6XA+bzuedemSXKHBpg44TE+9d%20SlWs/8vxVn15ecF+AgALJU7KF3tuvdrn+GRV/PLQq216MEr1L0MRa7wLitO6YqnVfn6LUruV2scl%20SfxyAHAsKDWvOhOds16zuXy/+OXRhCpxQcexaYplP+UN9hMAOBaUWo856VghPN4lfnlobZ5gqqnc%20oE8A4Kd23lErKA8cv9y8apxIEOgTAIATRP5KfLIWQxwqfjnvM0EczD8Zb5gK9YWyoUIsDrdsyVeW%20QiBLgD5t5wDry0tVX+QTUCZAnwDgaJQJWQL0CQDeXZoCSx1QJkCfAKBABhPKBKlg/V5iQuH1nNVO%20lQ0x9446Il+S+joR22JawSkTiOBm3OgeiOQap6NMvMkE6NNBUJme+jP/cKpya1ip9wbzllGDQkVO%20sL7TrooL624NSYtXRoV/tYsYN6oDLW6s40zq/SsU6qSUiTeZAH3a71hdac0HE18GPvWevZ1bo/qh%203dDvMW4ucnr1nT6NOjf2mzHV3k04b9Ny4aRq9zWRcaM6kJ2cozlcE778OAXJ/YfBBOjT4VBvgchR%20MyYpkcq1EUp9tK3IidRX7uflv4rkbVq9zd0N1bO6mL+tNm186+LfK+STSkyXGAUJZQL0qTBYkya1%20vhh8apa7vsprNx8Eowyo8KIRjBsls/7icm17/fDvFUadtCv2ZrG9S7Qguf8A0Kf3xs5ufrOoleOp%2031xfNVU1bkeyChrDi8bFHG04kieNqlk0mQO8x9PIxvwaKly1799WrGwNqaHUEZXaR4YN1pfn4A+7%207LSelnJsLV99nTz3r1EDUimN0ypyqBP1S/VXzEbxxmVUNDbk1yBdJGA/Fdr14fPKR6ZeSlJfR5yG%20Zu+mtJVGt1Yh3xSdcaN8QO/fTZ2H9sYBgmXDdt4lvwYA+rS7CTFUy6Ntu/b2XDu3jvptp/T1VQIj%20xKjlGfiq8l4jVHuvk3pfFVLuP2f1n2mjGylbbl3csH6vGBw4vwZAlMr19fXDwwMN4bVIpXKA+LDF%208ZAU6mSO9AxP2GxujURjsOSZAQ7Py8sL9hMAxJnNa+tVg6pRulK+DWDHDcmylEga5ekdEzokSZqf%20c4KYJCqjd/ZOK1mDhEolbJPwbyVrE0OpBG0SKpWkTcK1SH9txII+AUBqwyr50nNnnHu7zBggZNpN%20H4dFDqtX4jFOXGPKPI/rE32Kd9vVsNp7XXpvsCdtkECpxG0S/K2kbRIulaxNgqUStEm4FumvDfQJ%20AHJj29Jz47DXs9fCdNJK4dPlMmUcltX9VX82U9Ocacwud8JNRN6330ODnEybhGqRrSnQJwDIh7jX%20rJMMrU/iJsVklhqJh2nffpcP/WKg4kJOOvZi0WTYy3Qy/OIODXIybWLXYremQJ8AYDcyLz1XvqAU%20Q+vq/nakFojW+rNRK9V8Rv2smt4wUQO/HMBFK/XUyS5r8U+jTdxa5PtaAvpkoLJnylbfE2suyLb0%203Jr/+NAU0/uko6odsGS9HDQ6k+QzSer0LBth9TbXg3JCM2ZkWQyfBiKtYyrzWvzTaBN/LXJ+LeH6%20+noNPoT1evyx/8SRnsyRnmEJmVhP4Y3BMtX+ms4k5Y9ZY3GG00v5S+6UTqJi9k84TZCwQfylkrdJ%206LcStonxDEW6UtvbJFqLtNdGHJ8/f+b9J4MxwftPZesRACgavP8EAAAFBX0CAAD06agxh9fbGHTv%209CLypWgEw0bnZfRgyL7gFycawRAA0Kc9oZIcGV7Ytl56S1ekJI1g3OisPXLmVe20T9OuChZrz/rO%20W6TQBQD0KfGwXGnNB5PIC9tyDB7XO400RUrSCPEt4x3Pzbg7fRp1nPcTq72bzmyx5KIDAPQpAVaU%20zNdezTAwtx8/nacoUpJG2NQyzh63nibJQ3vvJ5YgmRYAoE97RY/BJU87YGyEBC0zvesLJ6N7sOiF%20a1UBQNkhv/sOA/OrSkpIIwQaIUnLKBupvQyLkEo2NCfVEACgTzuNzM/j2WxWq/Ttz61KCQdWYyM8%20iu0tY5AnJ1X8a5OLCwBs8O9lwbcOTcX/6EzWJXzqNzZCgpZZvc0bgcBcjjgNESc4Oh/ChfdehJ2n%20jzck0KeiXqtcm1tbJhyAX9lhQqiQzLwCBUf4kGaFm1OLepqfJpPlmuesHCH+XqRFiL9Xvh4B2AE1%20dTpqNAY3rz20KT+IvwcAsCPNobShZrPxGy+W5wz6BACwmwH1dt5piFn/Ds80+gQAUBRW02mt1xs+%20Dhpi1OpOsaHQJwCA9zecupVKrdW6ul/Z635GrRrxI/OD958AALKhwn4N7b99fwL6tD8qlQr1BQBA%20nwrHAdaXl6q+yCcAZID5JwAAQJ8AAADQJwAAQJ9KQDC8nhcYckPEuKOOyLetvsEtxlZwd/EvuTVt%209B2L4HsAgD6lYdqt1Pr+uKbLxawzcUJ1G0NCRoqcWH19ocrXKkZmI5xxcNqtLW70t/X+lS1Gpo1y%2027i9tIOez1u8PwIA6FPisVplzpsMGj7L4G2+KQ25qcgJ13faNaS9nT6NOpdasZpDJ82GaaPa5uR6%20r/ZuOrPFkosOANCnBKh38ORQGhidpTkx69diXVKmIidb39X9rScwQUV76wZdecaN8vc8+1MlLzyv%20cdEBAPqUDTnOisZgaSfiO789dZfUpvpO7/oi7NrTzPqLS12iPXb8e+aNrtJdGAwxAECfIDFq7sVN%20DFs9q5+6S2pDfa1s7R+MiuLOSKkS4+dV/EbrQN2KmoZ6RZ0AAH2C3YmVJyk/CTdqw6nSEoZk8ACA%20PkG6UbnrWx29eps7c/6lq6+aUIqxnpqXdScfjreXaaMUp1q/PiEvNgCgT7vTHC7bY2e5wJV4tIbW%20o37bKUN9FTqpQMgSshuhOZyIllWitrhxLKPoxtXzeKbyEmx9mwwAykXl+vr64eGBhvBapFI5QHzY%204oRkLdTJHOkZAkDuvLy8YD8BAEARQZ8AAAB9AgAAQJ8AAAB9AgAAyBPyuxvYd0Lxoq1GK3gCdRbv%20AZST/1+AAQAY6PdyxQsF7wAAAABJRU5ErkJggg==" height="575" width="565" overflow="visible"> </image>
            </svg>
          </div>
        </div>
        <div class="fig"><span class="labelfig">FIGURA 7.&nbsp; </span><span class="textfig">Determinación del momento necesario para vencer la resistencia, durante el empuje del material a mezclar.</span></div>
      </article>
    </article>
    <article class="section"><a id="id0x185a800"><!-- named anchor --></a>
      <h3>CONCLUSIONES</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <div class="list"><a id="id0x185ab00"><!-- named anchor --></a>
        <ul>
          <li>
            <p>Se
              elaboró un software” que facilita la evaluación de los modelos teóricos
              y que constituye una herramienta de utilidad durante el diseño y el 
              perfeccionamiento de de las máquinas mezcladoras de paletas de tipo 
              sinfín para la producción de pienso, a base harina de diferentes tipos 
              de forrajes, como alimentos secos.</p>
          </li>
          <li>
            <p>El software permite 
              realizar la evaluación, análisis y graficación de los modelos teóricos 
              elaborados para cualquier intervalo de los parámetros, así como la 
              comparación con respecto a su obtención experimental, determinándose el 
              comportamiento de las diferentes variables en estudio.</p>
          </li>
        </ul>
      </div>
    </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>
      <p id="B1">Acosta, G. (2017). Siembran más plantas proteicas para alimentar el ganado. <i>Agencia Cubana de Noticias (ACN), La Habana, Cuba</i>. <a href="http://www.acn.cu/economia/26743-siembran-mas-plantas-proteicas-para-alimentar-el-ganado" target="xrefwindow">http://www.acn.cu/economia/26743-siembran-mas-plantas-proteicas-para-alimentar-el-ganado</a>.</p>
      <p id="B2">Alonso, I. (2017). Presentan en Cuba texto sobre uso de plantas proteicas en Latinoamérica y el Caribe, [en línea]. <i>Sistema de Naciones Unidas en Cuba, FAO/Cuba/ONU, La Habana, Cuba</i>. <a href="http://onu.org.cu/news/e3030b5c368811e7a36800163e211c9e/presentan-en-cuba-texto-sobre-uso-de-plantas-proteicas-en-latinoamerica-y-el-caribe/" target="xrefwindow">http://onu.org.cu/news/e3030b5c368811e7a36800163e211c9e/presentan-en-cuba-texto-sobre-uso-de-plantas-proteicas-en-latinoamerica-y-el-caribe/</a> </p>
      <p id="B3">Ayala, T. J. L. (2019). <i>Diseño de una transportadora de harina para el traslado de molido en la Empresa Agroindustrial Vásquez SAC</i> [Informe técnico]. Universidad Nacional del Centro del Perú.</p>
      <p id="B4">Cordero,
        H. L. de la C., Valdés, H. P. A., Paneque, R. P., &amp; Fernández, G. 
        T. (2020). Revisión sobre el mezclado de productos en la fabricación de 
        piensos y conglomerados. <i>Ingeniería Agrícola</i>, <i>10</i>(4), 59-67, ISSN: 2306-1545, e-ISSN: 2227-8761.</p>
      <p id="B5">Crespo,
        A. R. M., Valdés, H. P. A., Paneque, R. P., Miranda, C. A., &amp; 
        Gómez, A. M. V. (2019). Costo energético y de explotación para la 
        producción de forraje fresco, triturado y molinado. <i>Ingeniería Agrícola</i>, <i>9</i>(4), 56-62, ISSN: 2306-1545, e-ISSN: 2227-8761.</p>
      <p id="B6">García, C. A. A. (2016). <i>Diseño
        de una máquina mezcladora de alimentos con diferentes frecuencias. 
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        San Luis, del cantón Mocache 2015</i> [Quevedo: UTEQ]. Gremio de pequeños productores de animales en el recinto San Luis, del cantón Mocache, Quevedo, Ecuador.</p>
      <p id="B7">Giordano, I. A., Gallardo, M., Bragachini, M., Peiretti, J., Cattani, P., &amp; Casini, C. (2010). <i>Mecanización de la alimentación uso del mixer para formular dietas balanceadas (TMR) en base a forrajes conservados</i>.</p>
      <p id="B8">Martínez, O. P. H., &amp; Preciado, G. F. L. (2011). <i>Diseño y Construcción de una Máquina Transportadora y Clasificadora de Humus de Lombriz de Capacidad de 1500 kg/h.</i> (Quito/EPN/2011) [Informe técnico]. EPN.</p>
      <p id="B9">Meza, M. A. R., &amp; Vargas, N. C. (2021). <i>Diseño y simulación de un molino compacto con transmisión interna para granos secos y cargue automatizado del producto</i>. Universidad Antonio Nariño, México.</p>
      <p id="B10">Paneque, R. P. (1988). <i>Transportadores en la Agricultura</i> (primera edición). Departamento de Ediciones del ISCAH, ENPES, La Habana, Cuba.</p>
      <p id="B11">Paneque, R. P., López, C. G., Mayans, C. P., Muñoz, G. F., Gaytán, R. J. G., &amp; Romantchik, K. E. (2018). <i>Fundamentos Teóricos y Análisis de Máquinas Agrícolas</i> (Vol. 1). Universidad Autónoma Chapingo, Texcoco, México.</p>
      <p id="B12">Pérez, P. L. E. (2019). <i>Propuesta de diseño de máquina mezcladora de pienso para el municipio San Luis, Santiago de Cuba</i>. Universidad de Holguín, Facultad de Ingeniería, Departamento de Ingeniería, Holguín, Cuba.</p>
      <p id="B13">Romero,
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        de forraje verde hidropónico y su aceptación en ganado lechero. <i>Acta Universitaria</i>, <i>19</i>(2), 11-19.</p>
    </article>
  </section>
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