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<title>Evaluación de la productividad de dos agregados agrícolas en la preparación de suelos</title>
<meta content="ancho de trabajo, velocidad de trabajo, profundidad de trabajo, gastos de operación, Working Width, Working Speed, Working Depth, Operating Expenses" name="keywords">
<meta content="Alain Ariel de la Rosa Andino" name="author">
<meta content="Manuel Octávio Isaac Spinola" name="author">
<meta content="Henda Gonçalves António Lopez" name="author">
<meta content="Yusimit Karina Zamora Hernandez" name="author">
<meta content="Yordanka Aguilera Corrales" name="author">
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<header>
  <div class="toctitle"> Ingeniería Agrícola Vol. 12, No. 3, Julio-Septiembre, 2022, ISSN:&nbsp;2227-8761</div>
  <div class="toctitle2"><img src="data:image/png;base64,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" id="codigo" alt="Código QR" height="85" width="85"><script>
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  <div class="toctitle2"> CU-ID:&nbsp;<a target="_blank" href="https://cu-id.com/2284/v12n3e02">https://cu-id.com/2284/v12n3e02</a></div>
  <div class="toctitle2">ARTÍCULO ORIGINAL</div>
  <h1>Evaluación de la productividad de dos agregados agrícolas en la preparación de suelos</h1>
  <h2>Evaluation of the productivity of two sets of agricultural machines in soil farming</h2>
  <div>
    <p><sup><a href="https://orcid.org/0000-0001-6593-8583" rel="license"><span class="orcid">iD</span></a></sup>Alain Ariel de la Rosa Andino<span class="tooltip"><a href="#aff1"><sup>I</sup></a><span class="tooltip-content">Universidad de Granma. Facultad de Ciencias Técnicas. Dpto. de Ingeniería Mecánica, Bayamo, M. N. Granma. Cuba </span></span><span class="tooltip"><a href="#c1"><sup>*</sup></a><span class="tooltip-content">✉:<a href="mailto:arosaa@udg.co.cu">arosaa@udg.co.cu</a></span></span></p>
    <p><sup><a href="https://orcid.org/0000-0003-0466-3840" rel="license"><span class="orcid">iD</span></a></sup>Manuel Octávio Isaac Spinola<span class="tooltip"><a href="#aff2"><sup>II</sup></a><span class="tooltip-content">Instituto Superior Politécnico de Cuanza Sul. Dpto. de Agronomía. Sumbe. Cuanza Sul. Angola</span></span></p>
    <p><sup><a href="https://orcid.org/0000-0002-2830-1783" rel="license"><span class="orcid">iD</span></a></sup>Henda Gonçalves António Lopez<span class="tooltip"><a href="#aff2"><sup>II</sup></a><span class="tooltip-content">Instituto Superior Politécnico de Cuanza Sul. Dpto. de Agronomía. Sumbe. Cuanza Sul. Angola</span></span></p>
    <p><sup><a href="https://orcid.org/0000-0002-0112-0161" rel="license"><span class="orcid">iD</span></a></sup>Yusimit Karina Zamora Hernandez<span class="tooltip"><a href="#aff3"><sup>III</sup></a><span class="tooltip-content">Universidad Técnica Estatal de Quevedo. Facultad de Ciencias de la Ingeniería, Quevedo, Ecuador</span></span></p>
    <p><sup><a href="https://orcid.org/0000-0001-8553-7613" rel="license"><span class="orcid">iD</span></a></sup>Yordanka Aguilera Corrales<span class="tooltip"><a href="#aff4"><sup>IV</sup></a><span class="tooltip-content">Universidad de Granma. Facultad de Humanidades. Departamento de Lenguas Extranjeras. Manzanillo. Granma. Cuba</span></span></p>
    <br>
    <p id="aff1"><span class="aff"><sup>I</sup>Universidad de Granma. Facultad de Ciencias Técnicas. Dpto. de Ingeniería Mecánica, Bayamo, M. N. Granma. Cuba </span></p>
    <p id="aff2"><span class="aff"><sup>II</sup>Instituto Superior Politécnico de Cuanza Sul. Dpto. de Agronomía. Sumbe. Cuanza Sul. Angola</span></p>
    <p id="aff3"><span class="aff"><sup>III</sup>Universidad Técnica Estatal de Quevedo. Facultad de Ciencias de la Ingeniería, Quevedo, Ecuador</span></p>
    <p id="aff4"><span class="aff"><sup>IV</sup>Universidad de Granma. Facultad de Humanidades. Departamento de Lenguas Extranjeras. Manzanillo. Granma. Cuba</span></p>
  </div>
  <div>&nbsp;</div>
  <p id="c1"> <sup><sup>*</sup></sup>Autor para correspondencia: Alain Ariel de la Rosa Andino, e-mail: <a href="mailto:arosaa@udg.co.cu">arosaa@udg.co.cu</a> </p>
  <div class="titleabstract | box">RESUMEN</div>
  <div class="box1">
    <p>La
      investigación se desarrolló con el objetivo de evaluar el 
      comportamiento de algunos indicadores de la productividad (rendimiento 
      técnico) de los agregados formados por el tractor XTZ 150K 09 con la 
      grada Baldan modelo CRI de 24 discos y el tractor YTO X 1804 con la 
      grada Baldan modelo CRI de 52 discos, durante el proceso de preparación 
      de suelos en la UEB Atención a Productores “Bartolomé Masó Márquez”. 
      Para la realización de la investigación se utilizaron las normas 
      cubanas. Los resultaros mostraron que la mayoría de los valores de los 
      indicadores tecnológicos en la operación de estos conjuntos de máquinas 
      agrícolas se encuentran por debajo de sus posibilidades técnicas, 
      exceptuando las magnitudes de la profundidad de trabajo las cuales 
      arrojaron valores de 0,17 m como promedio para ambos agregados. Se 
      demuestra, que, si determinan y establecen en el campo las amelgas de 
      trabajo y las franjas de viraje y no se violan los parámetros 
      cinemáticos durante el trabajo se obtendrán mejores indicadores 
      tecnológicos, operación y económicos.</p>
    <div class="titlekwd"><b> <i>Palabras clave</i>:</b>&nbsp; </div>
    <div class="kwd">ancho de trabajo, velocidad de trabajo, profundidad de trabajo, gastos de operación</div>
  </div>
  <div class="titleabstract | box">ABSTRACT</div>
  <div class="box1">
    <p>The
      research was carried out with the objective of evaluating the behavior 
      of some productivity indicators (technical performance) of the sets 
      formed by the XTZ 150K 09 tractor with the Baldan CRI 24-disc harrow and
      the YTO X 1804 tractor with the Baldan CRI 52-disc harrow, in the soil 
      farming process at the UEB of Attention to Farmers “Bartolome Maso 
      Marquez”. To carry out the research were used the Cuban standards. The 
      results showed that most of the values of the technological indicators 
      in the operation of these sets of agricultural machines are below its 
      technical possibilities, except for the magnitudes of the working depth,
      with values of 0.17 m as an average for both aggregates. It is shown 
      that if the land strips and the turning strips are determined and 
      established in the field and the kinematic parameters are not violated 
      during the work, better technological, operational and economic 
      indicators will be obtained.</p>
    <div class="titlekwd"><b> <i>Keywords:</i> </b>&nbsp; </div>
    <div class="kwd">Working Width, Working Speed, Working Depth, Operating Expenses</div>
  </div>
  <div class="box2">
    <p class="history">Received: 17/11/2021; Accepted: 14/6/2022</p>
    <p><i>Alain Ariel de la Rosa-Andino</i>,
      Prof. Titular, Universidad de Granma, Facultad de Ciencias Técnicas, 
      Dpto. de Ingeniería Mecánica, Carretera a Manzanillo km 17 ½, 
      Peralejo-Apartado 21- Bayamo, M. N. Código Postal: 85149. Provincia 
      Granma, Cuba. </p>
    <p><i>Manuel Octávio Isaac Spinola</i>, Prof. Instituto Superior Politécnico de Cuanza Sul. Dpto. de Agronomía. Sumbe. Cuanza Sul. Angola, e-mail: <a href="mailto:octaviospinola@gmail.com">octaviospinola@gmail.com</a>.</p>
    <p>Henda
      Gonçalves António Lopez, Prof. Instituto Superior Politécnico de Cuanza
      Sul. Dpto. de Agronomía. Sumbe. Cuanza Sul. Angola, e-mail: <a href="mailto:hendalopes@gmail.com">hendalopes@gmail.com</a>.</p>
    <p><i>Yusimit Karina Zamora-Hernandez</i>,
      Prof. Instructor, Universidad de Granma, Facultad de Ciencias Técnicas,
      Dpto. de Ingeniería Mecánica, Carretera a Manzanillo, Provincia Granma,
      Cuba, e-mail: <a href="mailto:yzamorah@uteq.edu.ec">yzamorah@uteq.edu.ec</a>.</p>
    <p><i>Yordanka Aguilera-Corrales</i>, Prof. Asistente. Universidad de Granma. Facultad de Humanidades. Manzanillo, Granma. Cuba, e-mail: <a href="mailto:arosaa@udg.co.cu">arosaa@udg.co.cu</a>.</p>
    <p>Los autores de este trabajo declaran no presentar conflicto de intereses.</p>
    <p><b>CONTRIBUCIONES DE AUTOR</b>: <b>Conceptualización:</b> de la Rosa. A. A .A. <b>Curación de datos:</b> de la Rosa. A. A .A, Isaac, S. M. O., Gonçalves, H. A., Zamora, H. Y. K. <b>Análisis formal:</b> de la Rosa. A. A .A., Morales, T. Y., Isaac, S. M. O., Gonçalves, H. A., Zamora, H. Y. K. <b>Investigación:</b> de la Rosa. A. A .A., Morales, T. Y., Gonçalves, H. A., Zamora, H. Y. K. <b>Metodología:</b> de la Rosa. A. A .A., Morales, T. Y., Isaac, S. M. O., Gonçalves, H. A., Zamora, H. Y. K., Aguilera, C. Y. <b>Supervisión:</b> de la Rosa. A. A .A., Mo, Isaac, S. M. O., Gonçalves, H. A., Zamora, H. Y. K, Aguilera, C. Y. <b>Redacción-borrador original:</b> de la Rosa. A. A .A <b>Redacción-revisión y edición:</b> de la Rosa. A. A .A., Morales, T. Y., Isaac, S. M. O., Gonçalves, H. A., Zamora, H. Y. K., Aguilera, C. Y </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="#id0x7638080"><span class="menulevel1">INTRODUCCIÓN</span></a></li>
        <li><a href="#id0x7639d80"><span class="menulevel1">MATERIALES Y MÉTODOS</span></a></li>
        <li><a href="#id0x763aa80"><span class="menulevel2">Descripción de cómo se conformó el agregado y como fue evaluado</span></a></li>
        <li><a href="#id0x7b0c780"><span class="menulevel1">RESULTADOS Y DISCUSIÓN</span></a></li>
        <li><a href="#id0x7b0ca00"><span class="menulevel2">Ancho de trabajo y su coeficiente de utilización</span></a></li>
        <li><a href="#id0x7b30580"><span class="menulevel2">Velocidad de trabajo y su coeficiente de utilización</span></a></li>
        <li><a href="#id0xfffffffffb773300"><span class="menulevel2">Profundidad de trabajo para ambos agregados</span></a></li>
        <li><a href="#id0xfffffffffb774500"><span class="menulevel3">Tiempo de viraje para para ambos agregados</span></a></li>
        <li><a href="#id0xfffffffffc12fa80"><span class="menulevel3">Productividad de ambos agregados</span></a></li>
        <li><a href="#id0xfffffffffc131300"><span class="menulevel2">Valoración económica de los resultados</span></a></li>
        <li><a href="#id0xfffffffffc189a80"><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="id0x7638080"><!-- named anchor --></a>
      <h3>INTRODUCCIÓN</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <p>Los
        complejos mecanizados revisten gran importancia en las condiciones 
        modernas de desarrollo y crecimiento de la economía agrícola. Por eso, 
        la productividad y eficiencia de las nuevas máquinas, juegan un papel 
        importante en el proceso de producción de alimentos. Así, adquieren 
        especial importancia los problemas de planificación, control y 
        explotación de la maquinaria agrícola disponible y de otros medios 
        mecanizados en la agricultura. Una estrategia útil para abordarlos es el
        establecimiento de un sistema de indicadores que permita dimensionar la
        efectividad en el manejo y explotación de las máquinas usadas en el 
        proceso productivo (<span class="tooltip"><a href="#B7">Gutiérrez et al., 2004</a><span class="tooltip-content">Gutiérrez,
        R. F., González, A., Serrano, M., &amp; Norman, T. (2004). Evaluación 
        de Explotación-Tecnológica del conjunto Multiarado-Tractor J. D. modelo 
        4235 en la labor de preparación primaria de un Vertisol. <i>Ciencia Ergo Sum</i>, <i>11</i>(2), 171-176</span></span>).</p>
      <p>En
        Cuba, el Ministerio de la Agricultura necesita incrementar la 
        producción de alimentos potenciando programas de producción. De manera 
        tal que se garantice la reducción gradual de las importaciones, se 
        alcance el autoabastecimiento y se logre incrementar las exportaciones. 
        Sin embargo, para cumplir estas líneas estratégicas se deben elevar los 
        rendimientos y la eficiencia de la producción agrícola, lo que resulta 
        imposible sin el desarrollo de la mecanización (<span class="tooltip"><a href="#B10">Herrera et al., 2011</a><span class="tooltip-content">Herrera, P. M. I., Toledo, A., &amp; García, F. M. P. (2011). Elementos de gestión en el uso del parque de tractores. <i>Revista Ciencias Técnicas Agropecuarias</i>, <i>20</i>(1), 20-24</span></span>; <span class="tooltip"><a href="#B14">Lora, 2006</a><span class="tooltip-content">Lora, D. (2006). Utilización del balance de maquinaria para el análisis económico-comparativo de tecnologías. <i>Revista Ciencias Técnicas Agropecuarias</i>, <i>15</i>(1), 28-31</span></span>).</p>
      <p>La
        evaluación de los índices de operación (explotación) permite conocer 
        los principales indicadores productivos de tractores, máquinas o 
        agregados agrícolas. En primera instancia sirve para comparar igual tipo
        de medios y para evaluar nuevas máquinas durante todo el volumen de 
        trabajo según el programa de ensayos establecidos (<span class="tooltip"><a href="#B4">González et al., 2017</a><span class="tooltip-content">González,
        C. O., Machado, T. N., González, A. J. A., Acevedo, P. M., Acevedo, D. 
        M., &amp; Herrera, S. M. (2017). Evaluación tecnológica, de explotación y
        económica del tractor XTZ-150K-09 en labores de preparación de suelo. <i>Revista Ingeniería Agrícola</i>, <i>7</i>(1), 49-54</span></span>).</p>
      <p>Unos
        de los procesos beneficiados con nuevas tecnologías en el sistema de 
        máquinas para la producción cañera, es la preparación de suelo. En la 
        UEB Atención a Productores Bartolomé Masó se introdujo la Grada Baldan 
        modelo CRI de 24 discos para formar agregado con el Tractor XTZ 150K 09 
        en la labor de rotura y Grada Baldan modelo CRI de 52 discos para formar
        agregado con el tractor YTO X, modelo 1804 en la labor de mullido, que 
        no han sido evaluados con anterioridad y por lo que se desconoce la 
        productividad (rendimiento técnico) posible de los mismos, partiendo de 
        parámetros científicamente argumentados.</p>
      <p>Como antecedentes de estudios realizados a este tipo de tecnología de nueva adquisición se reportan los estudios realizados por <span class="tooltip"><a href="#B4">González et al. (2017)</a><span class="tooltip-content">González,
        C. O., Machado, T. N., González, A. J. A., Acevedo, P. M., Acevedo, D. 
        M., &amp; Herrera, S. M. (2017). Evaluación tecnológica, de explotación y
        económica del tractor XTZ-150K-09 en labores de preparación de suelo. <i>Revista Ingeniería Agrícola</i>, <i>7</i>(1), 49-54</span></span> en la región central de Cuba, específicamente en el Valle del Yabú. 
        Estos autores efectuaron la evaluación tecnológica, de operación y 
        económica del tractor XTZ150K-09 en labores de preparación de suelo 
        (pardo con carbonato) formando agregado con el arado AT 90, la grada de 
        2199 kg GRSV 24/24 y el cultivador CHR 11P concluyeron que los dos 
        conjuntos evaluados presentan buen desempeño, con valores de 
        productividad por hora es de 0,83 ha·h<sup>-1</sup>, 1,17 ha·h<sup>-1</sup> y 1,42 ha·h<sup>-1</sup> respectivamente. Además de que los gastos directos de explotación 
        muestran que el agregado el que más gastos ocasiona es el XTZ 150 K 09 y
        el arado AT 90, con un valor de 53,36 CUP·ha<sup>-1</sup>, seguido de la grada GRSV 24/24 con un gasto de 46,84 CUP·ha<sup>-1</sup> y el cultivador CHR 11P con un valor de 44,83 CUP·ha<sup>-1</sup>.</p>
      <p>Teniendo
        en cuenta lo anteriormente planteado y la presente investigación tuvo 
        como objetivo evaluar la productividad (rendimiento técnico) de los 
        tractores XTZ 150K 09 con la grada Baldan modelos CRI de 24 discos e YTO
        X1804 con la grada Baldan y 52 discos bajo las condiciones de 
        explotación de la UEB Atención a Productores “Bartolomé Masó”.</p>
    </article>
    <article class="section"><a id="id0x7639d80"><!-- named anchor --></a>
      <h3>MATERIALES Y MÉTODOS</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <p>El
        trabajo se realizó en la UBPC Carlos Manuel de Céspedes perteneciente a
        la UEB Atención a Productores Agropecuarios de Bartolomé Masó, 
        provincia de Granma. La misma tiene un fondo de 1 009,06 ha, de ellas 
        con caña 688,62 ha y sin trabajar 320,44 ha y está ubicada en el 
        kilómetro 6 de la carretera Masó-Yara. La investigación se desarrolló en
        el Bloque 19 en el período comprendido del 1 de febrero del 2021 hasta 
        el 30 de abril del 2021, donde se evaluó la tecnología de preparación de
        suelo para el cultivo de la caña de azúcar (Saccharumofficinarum L.), 
        en un vertisol según <span class="tooltip"><a href="#B7">Gutiérrez et al. (2004)</a><span class="tooltip-content">Gutiérrez,
        R. F., González, A., Serrano, M., &amp; Norman, T. (2004). Evaluación 
        de Explotación-Tecnológica del conjunto Multiarado-Tractor J. D. modelo 
        4235 en la labor de preparación primaria de un Vertisol. <i>Ciencia Ergo Sum</i>, <i>11</i>(2), 171-176</span></span>; <span class="tooltip"><a href="#B9">Hernández et al. (1999</a><span class="tooltip-content">Hernández, J. A., Pérez, J. J. M., Mesa, N. A., Hartemink, A. E., &amp; Bosch, I. D. (1999). <i>Nueva versión de la clasificación genética de los suelos de Cuba.</i> (Primera edición). Instituto de suelos, La Habana, Cuba</span></span>, <span class="tooltip"><a href="#B8">2019)</a><span class="tooltip-content">Hernández,
        J. A., Pérez, J. J. M., Bosch, I. D., &amp; Castro, S. N. (2019). La 
        clasificación de suelos de Cuba: Énfasis en la versión de 2015. <i>Cultivos Tropicales</i>, <i>40</i>(1)</span></span>; <span class="tooltip"><a href="#B13">Latham (1981)</a><span class="tooltip-content">Latham, M. (1981). <i>The FAO/UNESCO soil map of the world legend</i> (pp. 177-183) [Mapa]. Institute of Natural Resources, The University of the South Pacific Suva, Fiji</span></span>; <span class="tooltip"><a href="#B22">Soil Survey Staff (2010)</a><span class="tooltip-content">Soil Survey Staff. (2010). <i>Keys to soil taxonomy</i> (11th ed). USDA-Catural Resources Conservation Service, Washinton, D.C., USA</span></span> </p>
      <article class="section"><a id="id0x763aa80"><!-- named anchor --></a>
        <h4>Descripción de cómo se conformó el agregado y como fue evaluado</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <p>Los
          agregados formados y sometidos a los ensayos en la labor de preparación
          de suelo fueron el tractor YTO X 1204 y gradas Baldan mediana de 40 
          discos, pesada de 52 discos (<span class="tooltip"><a href="#f1">Figura 1</a></span>).
          Se seleccionó el segundo escalón de marcha con reductor, siguiendo las 
          recomendaciones del manual de explotación del tractor antes mencionado.</p>
        <div id="f1" class="fig">
          <div class="zoom">
            <svg xml:space="preserve" enable-background="new 0 0 500 107.188" viewBox="0 0 500 107.188" height="107.188px" width="500px" y="0px" x="0px"  version="1.1">
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rRinIAadg%20dlFa85nykeKWjdzyKUMuelPmFyicUvFGB2NAo5gsIykqccHHBrl9R8U6jpl99mtriPaoO5go61u6%20pqK6ZZNcOC2DgAetYE0cWqXlpK0KBZkyw2jrmomuZWZUWkV/+Ez1dwN13Ip9FOKdF4r1kMRHqE6b%20upDVo3Wi2mwyLCF2jkCqGk6XFfSyrIzgKMjb9ay9kr7F85BPqlxO0iNI1zJLjdKw5zV2z1a8vbuO%20O7meXyBtUvxgemKq6jpq6dODGxYDoT1FJo4El3ISe+cmoqq0WaUdZI2YPFeq6ZIbezkjWItnBjB5%20PvWovjDWRAJZry2h+bbgxZz+tcwpD3TFhkA/kfWtK2xLJbLIqkAt268VrQpxtqjCvOXMrM1f+E61%20ZT8lxYy+xAX+tW7fx3q7EBrG2lHcpJWFqUMCGHMSYL4OB1FS/Y4rW5hMKBQ5KnHcYql7NzUWtyJe%200UXJPY6G+1D+0ZFlaMRuBtIBzmquKrWs3mlgFxt74q1uPpWjXI+UIy51zDSDTdwHWnHk0myi7Y9B%20d+OhxSZ4yTTfL70oTFKw+Y6vwac291/vj+VdDJxG30Nc94NGLe6/3x/Kuhl/1T/7prlqfEzoh8J4%20vNqdwbqUG5kbEh6n3qM6pcgkfaX5PHNU7oKLqfbk7nPQ89fSotjhvlBIH96sedmvIjVXWZ8czNQd%20ZuG/jP51meZ8uSoznGTwKcZAjEbQVPQjmjnY+RGgNZuAf9Yc+maX+2p88yHPsazGkCuGG0+oIoNy%20C2dqg+3Q/SjnYuRGn/a83Qu59waYdUfPLPk/7RqksqhwVKKT03DrQ0nmEbHUN6BaOdhyIu/2rKPl%20Dt+dNbVJHOGZiR71TVid/mgMM9V606R4VGVOD169aPaMPZot/wBoOF6MAPc0wagwOcyZPT5jVQXC%20liHaTrwARUjMse0qx57dSRT9ow5EWhqsyjAaTA96cNXlx8ueeozWbJIrAkFxjsR1pqusiDCkf40c%207FyI1Rq8oBO48e9OOsTgZyayiw2ksoA9D3qJ5QoOzaefWnzsXKja/tmUcFjTf7Yf+8ay0kkfBWEk%2055z3phf5vnynrRzMfKjVOqyEdTjPrTf7TPcn86yd4L4DMc9MDiniUbRgcdxjmjmYciNQagpbHP4m%20pPtw7Z/OsMud4Cs3J6kdKeZHjVmOCexz1o5mPlR7R4Ol8/w1bPzyW6/7xrabpXPeAW3+D7NvXd/6%20Ea6FulMgZS5pM0vFAC0A0lLQAZoopucUAPpM1UuNTgtx8zjisS98aWtuSIxuak5JG8MNVqfCjp6R%20jxXAXHjy6YkQxqo9TVM+MNVnfYj5J7AVPtInSstrdbIfqhW4+IltuDukPOE+9wprpfB7Jd6dPfKp%20C3Nw7Lnk7QcD+VcYJ78XYvFtwJyD+82c9KRNS1m2skNm3lWwOFAwF/ChTB4BpfEj0y/VWs3EnK1y%20c0saeFNVyPmaMngfdFcxq2t6tAsazXkjI+CcNxj/APXWBca/PbTTW7OzRzQlSpPenGaloZ1sHKlB%20TbuiTQbkf2pYljwswJ9+a9knhjbVbdWUH9ycD8RXhEEn2aa2lDfdkVq7/wD4Tea4Md1DJCssQ8tY%20gMsV7mqbsclrnXeLY/N0eZBjcYnA/wC+TUvhSVZfD1k6DCtEpA/CuF1PWjqOlyC5kk82R/kCNgn0%20/CtDwvrU+kaZBaStDIkYx33UOSRrTw1SouaK0PRqKyIPENvIAZFaLP8AeNacUyTIHRsqRkGgzlCU%20PiRLRTd1JuoJHGim7s0q96APN/GjMfEpUDACLzjrWE1uqtuBBJ5ro/GDIviNsjnYOtYRUAZY9T3F%20cc/iZ1Q+EaY1VQylgT6DrUuSqq24gjqahDgAncG29BQZP3ZYrvz2zUlFgzOwzvPAznFLhX+7ICDx%20g1XhKCPkEsetS26JNcLDkZbpmgAAYZ6bhxmiBGXKvkg981PbmCO72zDKg4NX5p9HiuGhmyrhd+e2%20KxnWUJctilC6uZpX95jAOO9KFOCQBxV8ppTqpjd9rjO5TU8OmWs20W9zn260e2VrtC5TJVWBO7G3%200FDQM2CGIUc5A6VsnTobKYyXNxlOyAfzqezuY70OsMG2DpvI4P8AjV8/YLHNGJCw+fI9amWHeuFO%20cdSO1bMlhYySMIIBJsOGwe9SRRQwh2aErHFGWZW7il7ROXKDWlzCFq55Odo/iFQvGA24MzYPXoK3%20LGRtZt2vLyM2tsGxEg4LL6mnXlvDcpmzToegHFNyYkYkp3AFSM+9JkngLkelS3TrEzQz28oP94JV%20aadkP7vdgYyxHNJTuOzHNkZJXj09KrsokVBGdpPGKJZXd9wOQwyKjVJXK7gEYdcelWmIexO4KzYI%20H4VHkkbsnH0qPduLAhiQ1L8w4Y8iqEzsPh/xqNyP+mYP6131ee/DzP8Aal2SScxjr25r0Kuml8Jz%201PiMjxP/AMgOf8P51wOPrXfeJ/8AkBz/AIVwgPauqm7IwmrsaMjuacM0E8DAqS3ha4kCL1I4rW5n%20YZS1JPCYJNh6gDNRc007isKMUyaeO3iaSVtqL1NOFV7+GO4tWikkCAj160XFYytY1KzvLDy0k3Es%20CBjrUmnRr5UQAHyrx7VBottHI7l1+VV24x1q6FSGZwmFjTgZPTis7t6lPTREt2221lOeimsnQp1h%20kkJBO/AAA59alvNSXypEVQUYEBs1n2MU8zmO3ZQxIYEkdqfNfUVmi7q7JLbzMXGVYYUjBAqjoCnb%20NP2UmpL2Mzws0z77hGOSDxirvhd2g0qftksDkZ4rGu7xNqOjMiG5JkdipJLkDaK27P8A1tvnrlv/%20AEGsWAoLgBWJ/eEk4xWpLM0FuHThw+FPpxXTBJJ+hy1G3JepLq0oFzEndRuxV15N72mAep5/A1zU%20l680plkcs5GCfatfTbiSaS2ErArk7VA6cVnHWpFmlTSnJeRuWqbIAQPvcmpaZGSqY/hBxTq3qXUn%20czpNOCsLS02kIPrUXNLCnnvQPrSc0YoCx1fg7/j3uv8AfH8q6GX/AFL/AO6a57wb/wAe91/vj+Vd%20DL/qX/3TXNP4mbw2Pn25d1uZlOWAkYtg+/rUiPOcsBuTqctk1XmiU3MjyXJZPNbKk8Dn1qNhFFKF%20270YkeYp6e1c7OhbDjcSY2sd4PYnGKakiiT5pDEmOVJxzSpZzzSBUjQKoyCWwMfjU0lgo2rPcWwV%20epMoz+VDaQ0myAXMNuN+5CW427if/rUfbYM7pCmT/d/hNVb+ySCUokyyqRu2rnA9OtW4dJSS0jNu%20kseCC0s67UFLmQ+Vk1uIrxd8d1BERwwkY8/hU7WcMak/2naDjnaDmq80NjY7IkjglkcYDncQxqpd%20XbWzeU0NujnoPL5/Wk3IaUbF6P7Ghz/aMZP/AFzakF3aAnfeeYR/0zNY8n2ucqVCj6YFJ9inYEsy%20qBTV2JqKNk3emEnfNI3OeI6et3p0u5YPtrt6IuTXLviNv3kyoB25JqOPU5Ips2qt5h4DE8/gKfKy%20eaJ1kl/ZwrsaK88wd3ABHtiozq+nIAZbaZj3LSAZrL0t9U1C5IhQySryfMGR+tbEFlfK5fUNNtXB%20PLTsEx+tS3YpK62GHV7NE81dMKg9GaXmmHVvtdt59vBGmw8B5Bkntxird5a+HpxvupBFOv8ADA5c%20D9KzjPo0MwFpaTzu2FUO20fkKL9gt3K6ay0twzTyANghsoRn8qt2zm8jCWemSzsM5fcVz9OK6G38%20m2tw1xBAjnnYqZA/E9aytX123x5Q8xn7qj7Qv1//AFVauzN2ESxiVF+2xmzx3M6sfyqK6fT4VP2e%206lkYdDt4/OuevLhy6GPIBPUnOPrTjM8M8apFBMW7Ak7v8KNR3RrwYuEMsRfbnA3Hqe9SboYom8x9%207enYGls9U04ssOrae9sBwHRiRUph0KQs1nerGxP/AC2Q/wA6XMOx678PGV/BlmyYwS/T/eNdI/3a%2057wDEIfCFoiyJKAX+dDkH5jW/MypGSzBQO5rVGTGZpQapTXiouY2R8HnDCoF1GdpivlIExw24UCN%20XNG6qDXkyqSVjwP9qmC/maPesan8aAL1xcR20DzSuFjjUsxJ6AVxNp4zuvEupG00q1xCM5lLdB61%20H461qb/hEZQyeUZZBHn1HX+lXvh1p6WfhqKUriSf52PcjtSbQ1dGB4tnutLuoYpJvMWYHBHGGFcy%20bss2WzzWv8UdWtpdZt7eGUM0K5bHY1zkd1FJGGLLg+9YVE7nv5biFKLjNmisykcGpopGjIlVxHtP%20DE4rLE1vDG00jjYnbPU1zt9q09/ISxITsg6AUoQbOjFYunRj3O0uvFcVuu2S7ZyOipWPd+L4zaiG%20FHZAcgMeh9a5ZmZeW6H1FIyZ9Aa2UEtzxZ46clZJI2LrxJPdWgXao2j5ahieaRFmnXBwcmskjy2B%20yT/KrTXTTW2Ig3JA9apJI5p16k1aT0NXUDEukW0kbfvGJ3DPTHSnaHelVdYyN+APpWVAXSNjcByo%20+7kcVsKLSKC1ktgEkeLdMv8AtZNNmaVzZhlknvi3G2MYHtW5p6SzTxW9tt+0TA+Urd8DNYdhdCe3%20RQm3bksf7xNYV5rM9xrIltZXjWEmON0OD6H865o3nK7Pop1fq2FSW7F1LV79tSlW9MqTxPtaPJ+U%20iuy8AePZodTh0u+YvbzttRmPKN/hXGCbErNI+92+Y+YDk/jU1vcP52YUaJE5aRQM/nXRax4EpuT1%20Pe7jX9Msyyz30KspwQGyRTIfEWlXMoSHUIHYnA+bGTXi3ms0JKxPMzdJGwlMiBacF42jKjPLZB+l%20UZnvgcEZBBB7g1LGcg1594H1s+a9hNJlMbkyeQfSu8tJFdW2kHHWgDz3xq/l+JHOeqL1rGMkjgDI%20OOvFbvjKzuJ/ETvFCXG1QDjgVnRaZebCPKY5HORXBOUVJ6nTC/KUCTGTuI+boMVJgMF4C+mKsnRL%20tiP3EmfWpho96AdsDdOpqeePcuzK0beVJuUrgdcjikBV2L5XcOmKvDRrpwFNvwep9akTQbpQoWLh%20emTS549wszndV82WWO3i6tyxHpVeYT6hfI21iikIoA64rfm8OajNqCuGWFSu1mznAro9I0u0sLYR%20xt5jKfvsO/tVc0US0zItdGYxq90RBGBwO5rVtUshGY7ceWQ3LDqaj1LTLq6J8i7RQR1YZINZl1Hd%20QRRWClZpRhpZ1+XA9cVMnz7sa901riztrYSXNwzzoozsxn9O9Z9revrcE0byGwRvlhQcP9cVsWsZ%20FmiSXO446gdaz4TYHU3LvG069ZCwyPQCk7WsguyNY3tStos8kkjPnzMYrUhtJLYSyXUwlQqABjGB%203zVfUtStoJLaLblpCSpHXipL67towFvLuKOKVMMpbkg1KiviKv0MO71pL+Vorc5jibbkdCfQVnX9%20xLBEJkllh8thhk7n0ras/B0EMIOn3Qa3c7l74/Grtz4Y+0aabZpgCeQwHQ1s5QUbGdne5m6fr0l5%20tS4CLOV3bD1IFQHxPDkB7f8AeMcFOMj3q9Y+Cvsl0Z/tbO5j2ZIqP/hA0+0NObx9zf7Nc3JT5ma8%20zsVzr1l5gR7b5iD0QHpTotT0y6YqkQ3Ac5XFTx+BII1YfbJPmJycetIfA1t9m8n7ZMoIxlcAmlKN%20NbNgpPsQL/ZtyT5SLuBxxmql7HZxo/lyKJlH3QefyrYXwhap5O26mAibcAD9760l54ZtWaSfe/mN%20yTWfPGEtyr3WwfDsyf2nch9uPL4I69a9Drzv4eSKdbvY1KnamODnvXolexS+FHFU+IyPE/8AyAp/%20wrhCxCEgdq7TxnObfwzdSDGRjr9a86s76S4hc8fLyeO1ac6iZ2uya+kkS0Jjba57+lZcc9/5i7Ll%20wR0apnvTcMyduopEjZmAXrW0aiauYTTvZFVpbszh5byR+ckHvVv7VKD1OPrVeVcD3BozxVSt0Ipt%209SZbiSRiFLlh1xTmimc5aNyfcZo04kXnUANxTVtb6V28ue3Iz0Bfj9a3o0VUjdmVau4SsKI5h0jk%20H4UjRysCGicg9crWhp9tcwFzcPGwIGNmf6mrvPp+tbLCR7nO8ZJbHOvab8ZtifqpqJI4Ub/VKvY/%20KQa6bOM8frXI6np8cGoSOuoLGxO5Y5GPBrOrheVe6zSji+Z2mV5IJg0pGChJxlugrZscw2G3bknH%20FYzYmg/4+UaYnBVWGDWxo8WoLMqXW77PjODjt0rldB1LKLOt140ruSIpNIuHuzMkKIp/gU8CpbnT%2057iB44h8ySAkZ9q3S6/dyM1BAQJ5znq44x04r0Y4eCVu55ssTOTT7GDDpF3HuDWwYEY+8Ks2Fhc2%201xC0yBEQkklhW8KjuYvNixn5QQSD3qfqsIu6KeLnNWFDff2ng5NP3VUncC3lKKxlK4AHasqH+05l%203xbz25Nc2JrJPY6cLCyZv5pd1YElvqrfeDZH+0KVI9TZASsntzXN7VvodVl3N7NIWrn/ACNT83Lb%20x75qpc/blf52cAfXNJ1mugcq7nqvgqRXt7vaQcOM4+ldJL/qn/3TXEfC/wAw2Woeb181cf8AfNdv%20N/qX/wB01HNzamq0R866hJC13cosUqgsxw+MdetRAsmnFbcqJYz5hwAR9M068AivZRLHCRI7FXyc%20cnv2qKOQWSGVotxGV3N79OBWTNkT3zrNYrMpUh8NjuT3qqkYgCySKPM6qh7e5psKC0XL4aU8gA8J%20n29ahkuk3kMpb1Oaxer0OiOi1JWZWbzpWGc5Jar7+ILjUyIPLVUxtCZ/XBrBupz5ZOzGOmaz1lYE%20uGIPqK1pw01Mas9ToLae9s55kgc/I2WHB/HP+Fbtnrtg0DyGCOO9CHbJLl1b2z2riLa9lgZnRsZ4%20NS2N2iSsJEDKw4HvVSgSpnfXqxPo8WoSwwGSQjPk8kA/1qpZWVjLp00r3MVpvJXfOSzkey1gJelo%20IlwE2jaSDy31qOaUAZHzGudtp2OhRTRe/sbw/By9zd3bf7KhAafDdaXYPutdLgVlPDysXIrNlnaO%203L4HA7mssXkryE4PuB3qo80+pMlCHQ6p/E95MuEm8pT/AAxKFzVMG5vbhNySlSfmkc9vbNQ2GqQ2%20iKLiy/dsMjyn28ep7/rXW2niXQ49JWSC1iaRfvxscP8AUetDSiCbexyhtI5pJVW8jtmDHYlwpXcP%20rVbSJBaX008zBjFwpVuM+1dvLr/hvVLVoLq0lgDD7yoCV+hrKfwdomov/wAS7xAsZb+CVAKqNSK3%20IlCXQw7rxBJKSY2IHpu5z61lmVmY7mJduST3rqJfhjqi5e1ubS5Ud1fBrKl8H65auTNp8pAOcxkM%20K2Uo9GYuL6mPLITAwz34qukjwgGMkN6jtU93DLb7llikjbOMMpH86pqSHqtyTRi1GaJlkuCZj2Vj%200q1Fdx3CK8kSoq8sQcbvasbdub5u9SNJuIXPyjgUnEpM+k/ho8T+BrFoBhCXwM5/iNXfGMxg8NXM%20gzxt6fWsn4Tf8k80/wCsn/oZrb8VRLNoFwkgypxkfjQI84jv5vs0z+ZxgEH8aswXRuICVmUSDrz+%20VNECw74ordDGwwctWpBY6Z1FxHGcDjpikpx2uDRjJNqUW8XMrAc4PaptMlub63Mn2+KKMEgEvjn6%20VLd3DRahMInikhVTt6HPFcTfbf7AVY1c3Kz5JBxtFSpXehVtDU8TXwfTvJuZpJE8zjHQMM1Qbx7q%20lvpi6fauI4okCgqOSPrVW4gmOjrHLKC4BkO5uR+Fc7PM79Og4rSxFwlu/OkaSR2Z26k8kmmeaCuA%20TgVX746U6OOSVwkSl2Y4AFA02WbuYrBHEDnjJqkWzkliPpW5b6BPcyP50Uqn7qjGB065qX7DHpym%20KaF+v3xg5oBtmRbapcWOQNskbD7si5FObU4JzumtIhnqYyQatTRwTpwuQvTjGKpyWSyL9zaR3HQ0%20CGSJG6eZau0i45RvvL/iKdp+pvYljHGpz/eqm8cluwdcjB60+RxOvmDhh94f1FAG/b+IIbt1hv4F%20ERPVa1tUOnPY77OWNZUXjHcelcJyD7itO2m/crnn1oGnY0zrL20EluqfvHXCkHNVbSPyQGWRUU87%20iOapXDs2xkQBozxirMNxj/lj5r9TxwKSika1cROrbmew+8ucsqtOZEPGVHIq7YM0QP2ObepHzB+1%20YwndrgvHGDg8rjpWovkSW5mVm2NjdGO9MxLlw9hj9/NI7D+FMsBVvSbb7VKlvau3lt82W5KjvWat%20xJsAt7QhR/E3GRXWeBLXz5LqbAAQBPpnmh7AV/skvh3xFaSJI5t7g4DN1B9K9V8KSmWG4yScOOv0%20rhfGVvs0i2nxzDcoc/pXZ+Cjm2uuf4x/Ks76oXUh1jVVg8RizZRmQDDZ9qz77xFDaStGo8x06joB%20VXxeGXxYJVIBRVPSsfxNKiX8Dpj96gZgK86ph4Os2+p2wm1A2F8UyEDdalSfVuKVfEsnO+2Crng7%20uorm9Suh9lgIzvZsZ9hS385i0+LJO4uMGrVCC6C52dG3iSVST9mUION27vS/8JHMqZkhRc/dOeDX%20O3s0i6Ysg4jcgfjU0tyP7LbzBk4Gw+lHso9h8zOp0sKsKlS8jXLFmZjnmuW1y1vkucrqE6qxbCx8%20BcdK1tDv5JJbCBRmNmYucdOOKoeKb6GCO6Zn/wBWCNv1qYaTsN6xOf0vxZqsMH2UTI5DcSOMnmug%20iv7hluhJfxTMYDuYAfKR7elczpsEK3tjOgBgdPmLepOOasaBo80Gq35WTckaHdlc7lJ6V0uEb3Me%20Z2GJqrWekMYJp5pmGBKxwir3C+9Yl7chrmJUdwWXJYn+tacVlbaw6Jbs8UcLE7Mc4z0q3JpauJIY%204YiVO3LjJUGqXKugmm+pL4Y1D7TEYbucuYP9VuGfyrY8MC2HiHVUeMXGI/MiD88Y5AzWF4UsvKmv%20A2GeADZ9c1d8PF7fWLXUQB5eWimHcAk81nOz5rFR6FWfx/f290tuiC1SRwEROFQZxXSaf4scXVpB%20cmXzXuPJmDHgZHBHtXD+IdHnv45JrQCZoZn3ley5yKl0BpdbLee7RzwNG4YDk7apxi43Em7nS+JP%20E2ojxT/Z8MvkW0J2sU6kkcZNZ9rq+rNql1HLqLsIVHlg8DnpmpNZhjv/ABXJIpY/aIlfGMFWWsmz%20E58V3EVxGwDx4U4xkDpRFKw7u5b03xJqN0LqO6kdZ4pMkFiMDoB+dQw69dXUJ053mS6XI37yDuPQ%20VWuUnuvFE0MsbQtJDtV8fex0aoPLurjxOou4jDLLHt3gY3kdGp8q7E8zLlx4lurWX7MZZQ8CoGBP%20U9810niPxG0d3p1sGC215CG3r1ya4nVIJ7jxIpmtzG867WY8CQ9NwrQ1+3I8P6bJcb47i1kEag8h%20lJ9aiVOPNHQpSdmdl8LtIWw1u+mV2bzY+/1r1GvPfh0mzUJwDwYhxnivQq6qfwmM9zA8agHwxdAj%20I44/GuAggWO0QL91huP+Feh+LmK+HbggA4xwfrXArLHPbgkhSqnGOMVnUeoIzjwCgUAZ60gdoyCp%206c0+ePMYO7vmq7E7c5q4SvFIhq0roSdtwZvxphP602UsI25qHzWIHzVupXRk4tMv2RAuoyeBmphd%20XAciMkjP8MHFZ1rf2dreINQL7GBxt9aq200sksr2srxQs3ygHrXTRrqCsYVsPz6nT2k88jssqvgD%20glMCrDjcpHI9xXLNJc5ObqX8GphaXHN3P/32a3WLilsc31KTd7mtNqFzDdNEFVwpxjbyax/EtjI0%20kdyoZg/DA/w1Nb2ct6WEdzMWUZJMh4q/FBFY28RkctNkncxLGud4i6d9Tojh7NOOljhJbC7aUmO3%20lwh4IWtQa1r1smZjIqju0fFdJc3ZeZfLeTJ67sU0pOVYmQ7j2PTFcyquOx1OmpLUwo/FWocNvRj3%20BWtW18TXD2M8jRo0sQDBQPvL3qG80+KYqVgSOQfxKMZ9jWXaS/YtRGeAjYI9q3hiJX3MJ4aDWxor%2044nJwLQH8DWjY+IZ71CZYQiZwcA1IYyjY4CkZHHY0gHDDPFKVeotLijQpbpFmK+ijj3A8nrzzU1t%20OZUJ8zZye1cdqUOrMZ/LWMwg8EAZxVewuNVubWULcFEgAz9K55VJT3Z0xpxjsjqL3U7qJnFuwZ1+%206COprLI1qU75r4RMf4QAQKtwwPAvmSSq0bAHe4yfwp2GmYoGLx54OMUKcl1BxT6GXdXPiC05juTK%20o64AyPwo0/xJcSTrFqhDR5wWIwymtv7HFjBzn1zWLrOnbcvHGDKOS2eopqo3oLkXY9c8AAC0vNvT%20euD68V1c3+ok/wB0/wAq4D4R3Mlxpl+JCf3booz/ALtd9NzC4/2TSND5utJA9/cwTktCZX2kdSAf%20Sm3MixTyeWoVSB90cD/69aFxa2kd/EIFeJ/tDB5JFwp68571O40iBGSaZ7pupCLgfnWEtTojoc8W%20nkljFuhlYnlV6n2qKe0uYJmkuo2iXOQrHmts6zYWqFLOzWJe5Jyx/HtWLqOoxXUOJCyvk/OWzx9K%20UV0HKXUrX7O9uGVf3fdvU1m5wmDXQ6Zq+nQQGO+gN0VXbGccY9KQaOmtbn0+O1tlzwjS4YfhWkZK%20KsZyTk7mAWAjGO9OttplTe4RS3LHtWxdeDNUt49yok+OojbkVhSQyQsUlRkZTghhjFXdPYzs1ubG%20UkQfMvDZB7mnT58vpkAjrWfASsUTHtxV24lzHsXGTjvXPNO51QasyLUpdiJEv1IqOzvFtHUOA685%20BFVppTLcsxxhRjiktWh+1xfaATFu+fHpW0I2ic9SXNIuvJHDfGSIZhYZCn09KnultUhS4tonSJlO%20Vzna1VNSWCG4aK1m82BfuPjHFNs0lmjkVWGwDcQaqxKZbtzJLGjQqXXbmTB5Wl82dZSgCycZXHU+%201VrO7NlNujAAIwR6ioEuTDcB4icbgcYqXTTLVRrqatprU6ShI3nhcdgxGK14PFWqW77vtrn2fmsW%209dLhoL9QFkdisgHT2NUbyZpGVI+5rJ0/e0NlV927Ok17xHea5pzW0sMbFSG3IvzGuQKMr/MpH1GK%202bWafSL+NSyyb0BUt0Ga17jNztN1tZvvAHAOfTNar3FYxfvO5x4+UkEHNAXcQAeTXWy6bpixhzDv%20YjJw/P1rnbuz+zzZVC0Z6GqUrkNWPof4VDHw+08ehcf+Pmt3xCiSaRMsoynGR+NYPwpXb8PdPHvJ%20/wChmug10BtKmDdOP50PURxTQ6d/FHyP4smnpZ2Ey74YEc+5pL4RmwnRMAlDj61wN74mu9KtjbwP%20iRuhI+6PWpjCPYdzr5jY6W7SzGCHHZq47Wdc0q4EkUQkfJJDRjbg1zFzezXbtLdSNK5PVzmoFlyP%20nPSrUYoVy55q7N/m5kPysjdSPXNQD5uqjB7kUyJ0E24hWXHOabJcbItkMucnkY6UAN8ktOsaoGZz%20hRjrXWWWg/2dJG+9DIV+Zz/yz+nvWb4csBLbNfEh7hXxEpPT3rpL+1snthJcMFIGCA2OalspFbUh%20FEgVb6XzWHBDVz/nztI7XEpfHAz3ovYYkuQ8LnywMgE1WMjzSiNFLOxwAByfaqExXfGQpwD0qJpi%20vAbiuq03wkkSBtUdzMefs6cbfqa0W8M6TPmJrWSFj0YPmgRwpMcww4zWbLGbecgjCngY9K6PXvDs%20+g3CEv5ttJ/q5AP0PvWNex74Axble1AFLbyc1dtsCL6GqBY8GrFsxII9aALE7xA4VHyw6k8VBG8i%20xsu8Lj9asBI3QPI+3aTxVa4VUcMMlWoAWyMxmJiOZBzj1q1HMBL57KI8H7g7n6VTteJidxjfqp9D%20V2RkcpKQFuAfmX+9QBe829ni8xEEUZ9Tya9E+GUIk0i8l7tNjP0Febfv5oz9ouBGD/DXpvwncS6R%20exDrHKGx9RSAuePID/wjiqDjNxH/ADrovA42292Oo3rj8qwvH0g/4lNkPvTXIcj2FdP4UEYt5/LQ%20L8wzj6VLj7yA5zxk6w628jrlAo3H044ri9WvY5p7eVSWXYF69K67xvmXXZYCP3bIuc9+K4qTRBHH%20iHcATkknIz6Cud25nc6F8KC41a3v/LWFTiCTafepb/U4byIxxD/UyAN+VQWvhh4BJIkhZ2PI7CnW%20egvFbsZGAmc7254ovEVmTXepC7sjDHH+7gZVY56GnTao0tkIo41ZFIVj3WpE06C2tJTEC8sjhmPY%20+1EWkJaWdw43PLKNzY9fTFTdFWZueFL37Rdi3WHiIBjJ2+lVfFGk6o9xffZLH7TDdfKMfw4rP026%20/wCEVt5NQuELyy9UB9egrVs/iRFenyvswhlI4DNkUlD3+dA27cpzMdpeW6W1o9tmWNWEiZGVxzmu%2018OxeTMZpjGr3aho4164FcdfaqLXU/MG0yMrDC87ye5rqvD+rQ/YrVJEzcopVMDPWqqbaCiiSbw9%20NarNc2s8Vu0z7vnGeabF4Y1GJGdb2ITyfMzbMj8qbqmpSR36C8YNOF/cWiHp/tNWKut6r5ErTRT5%20ZiE2nkURvYGtTo9O8NizlMrTF53B807eD+Fc74i1AeFNRijgXdFK5duM7Qa5yHVdaXUQJprlo3BT%20vxnvXT2ll5llHFfSec+0hi/J/Gh+69QWuxjf2rcQ6LdXtswJkmLEgchfUCsrTNVk063u7xX3sxGG%20xjJNddZ6DFb6b5EiB0+YZB7GqWneHobJpopI1lhLZUNzgVSnFByyMpddnv8AUZL2HLCKD5R396oQ%20a1M+qPfPLI6pGcZ6geldJb6DHpl/NJb/ALxJBwg7Z60lvplkC8gt/LLAg5H9KalEXLI5uHVJpNXa%206Wd5wsRKluoqC21e6udUS7ld5Cikqvp7V0NrocVpqEkysNjggIR61KmjW0N958ahCEw0WOB70+eI%20uSRykeoXE+rRXFzJI6oScE9B6VPrepTXs8MSSMbbIZQfX3rZtNAWDUnmkbzEJJC49auT6JBcjKhY%20yjK31xQ5xEos7X4bR7L+c85MQzXoteffDsbNSu05yEHNeg1pS+EmppIxPF+f+EcucHB4/nXl0Tb5%20rkMcBI8r7mvUvFql/D1wqjJOP515qLGVpCu0nAqKjtIS2KF/dtbaZZTptLzA7we1ZZ1SUc7Fx6V0%207aO86hWj+XsKjfwujggx4J7g8041F2JcWY9sZdStZ5ceVFChZmz19qighuHsXuCEWJCFyScmtO40%20DVLWyktrV4zauQzbvvf/AKqydVur2zhhsZY4giDgxkkNWnNfYVinc2c98we2UPsHJA6D3q5bQTRw%20KpnHHYJVOz8VS6ZbXVmLYMsoxuzyKzz4knHCwR/rVJiaOi8uQ4/en8FFMaM8gyy5+orEsfEM73SR%20yRpsY44rQ1m9khkh8pTtZsMcdR7U7iSN7To0s4Gn3s6yJg5OefamTySMNyqI0k4GRkn8alt1jtrJ%20EgiEiFt8Yz2NQHc95mZgXAzgdvaobKsOiXbtQLlzVmC0W4JUXJ3+gHH0qEKNu4khie3pWhpCJLeB%20GQksDtPpU2bVx3Rn3EDwSmOblc43Cs2606KaUPwhXgnP3q7PXtPUad9oVfmzg/Ud64rXvm0twc7e%20C2OoqYu4ND5byLS181g80YGNnmc5qb+1o227IUHCk5JJGelcZAi3FwkQYgOQMk10clzYxuM3ZZAg%20XAX096016gki5deILSxleGVSZkOGCjvVPTJjczPfRoFhmcxyxAcD0NY19C9/rjC1BkNwQwGMYz6+%20lbuk2NxpSCO4iMbtnzIywy3owqUrDZeLgM4RPNKDlm6L7AVPAQkC8fM3eqrO/lyLFhIVJyWPLnvV%20yJDJGhQ5wOnrTbEWdOsBOWaVmbJ28cEH1qK7gCKwbnacGuj0SwMVs0lxiPd82CccCsLUnDec6AsG%20PA9azW7sU9jrvhqqLZ34jUACVeg9q7Kb/Uv/ALp/lXEfC+VZbPUSqsMTLnP0rt5v9S/+6f5VstiT%205d1S7WTVZlYsQJW+UeuajZ5FB/cFNpCnfxg1s39lANRa5Nq0OyRslTncc981lXEDalPPMTst4zli%20D0/CsuVNm/O0ihcTFG2u6j2Tmqzsj5PznHcmn3SW0ZUQO0h7krj8qrsSc4H4VaRnKTY9HXICISfr%20U2+e0YF0dQf7wxUMaYkBYkAc5HWtEtLeW7I84YJyNwy2KGkCbLuneJb62x5UzFf7r/MBWhd6rZ6s%20n+nWmyYdJYuv4iuUWR4QdjEZ64q/9tkhgVJFilEi5/2gfc1m6euhoql9JCNaK+7ZIdueOKr3UohO%201Dk465qxa2l7exMIuFHJPrUk+gPGi+XKHcjkMMVSWuom9NDHVuvHWmAEnABJ7YqzLY3ETbXiYVFh%20o36lGFamIjkjinQyMCQCRxzimkcZ5PvSA7c0AX9OuoINQR7qISxDhlIz+NWNSsLC3AuLC+EyyH/V%20lcMlY+NxHOPepGb5R0/CiwFnDGyLh87W5Tv9amsIQ6tcZX5WxjPP5VnxXEkW8IxAddrD1FWrNiLe%20RsdTjNFtRlqZWvZIhnART9ce1aMKutug8tXDDKndk59D6VRs78GA2pjjJLEq54NaVjbuzEr8sQ6K%20w+YnvUyKih1syW9uZLiBwd3OG4X/AOtVmGWFSskcQkeVs7mAIT/CqV9BPHICZXWNuigZAHvU0Drb%20zLCERgwztxhmHtUFnufgR/M8J2rBQuS/AP8AtGtHXVLaTMFxk46/Wsr4eDHg2068s557fMa0fEjm%20PRZ2XqMfzrToZdTzLVrz7L5scupqj7ThI4sn6V5pcTzTySPNvZkJ5I5xXq0uJbgyBYyx4CjGT9TW%20Fr+lwXdpP9ljVLkkMcDGT9aSY2jzuKQyLhuMnmnybApAPNJMGVyjKVZeCCMYp0VpPOm6K3kYAZJC%20nFUSVd+KfbwtPcRREbQ7hc+xNRkYJHcVf0YGfUoY3PCHfn6UrjNuS1ksrmWx08eTECN0hOSf8KrX%20OnPt5u2du4LcVe1CaeS8b7OFkDjORWSEnF05nzwKEDEkxCgGMlT+BrtvA+gMYzq1wAskvzIWH3E/%20vfjXF2sJvtSgtx/y0kC/hmvW9WuJNG8MSz2kSsEjIx/dUDApiIdQ8XaZbalHCzxzB0Jd1GcEdAan%20RYNRsYruHYpYfMqsDtrxtpCFJP8ArGOT9a6z4bTTtrU9uCTC8JLDtkdKAOu8RaWt74Vuht3NGvmK%20T6r/APWryO5C+Sc5xXvGrhbbw1fSP90QP/KvCthk+XGeOlIDJZcKDg9ant+OKs/ZcEjtnGKUWrKx%20AXFFwK7b2Z05ycH6iprmNvsgJwNmDUsVuS+VJDDv6VHc20svO8nmi47FNH/eDjdu4bPFWxH5beap%20Lg9M9V9qqm1kHA5HtTt00XyntwfpRcRejaHcWuNzk9hXX/D7xNFoF/MLhHNvOAGC9RjpXBq+xvlO%20SO5q3FcqjB1YnJ6+9MD0O+17/hIPGCXQBFvbriNSe1ejeC51ntbkq2cOB9OK8Z0RgqF5MK7HI3cc%20V618O2V7K7ZSDmQdPpU7sfQzPGHmjxI2F+RowM1jxjMIQyghuNv9a3vF1wia3JE43EoCB6cVgCTc%206oqMoUYBA6VxVH7zOmGyLHlKgwWPUdT1ps9sZ2ZCqhPrzTTGsrqWJznPXkVYVmIwjqSDnHc1nsWR%20wxQRx5G8fQUshG392OW9uam8wfLxhv5VTklWaZuWAwct0Apq7AbPaJcKY7iMSxn04x71Sk0SyQBb%20OJVZvusRk1o5AUFSW9zQIp595toixXkn0p3aFZHLaxDGs+0JtdUwvHOc8mpbWaazghis5B9sK5y3%20Plr/AI1cn0h57mWTP78Djd6mr1nYpaR+XHEGZv8AWSN1P0rRzVrEJalXS9HktZpbi6ufNnlO5nY5%20IFXwrDG0F0z970qwsZbHAYAYBNHliKQPnOfbjNQ5XNErEKqVI/h75PSnSN+8JUjnHXirCZ3YZFWU%20ZKg8g1XlfzCwdVU8HAHehagMkYpu2v7kdqUbjgqRt7jOc+9Okg/dqdy5J5pGgUxnZKB/sgU7CI24%20bIGCTVR4ysx2kgAdM9TVmIrzknao5BHIpBF5i5Vd5B9aYiszbE2yEct8p75ouJ1lUmGMlgMO3fNM%20klTzfLw5c9MCi3YjPysh5DccE0JCuOtlNxCGjJV04YEd6XYykK456HFCly7AM0bE846EUiqQWXBC%20ryCWzmgEdd4AJbUrgkY/dj+dd9Xn/wAPX36jcnnHl9/rXoFdVL4TCp8Rna4M6XLn2rj0wty/uBXX%20eIXEejzMzBQMcmvO77UJLZhJAomD/wB05xSmryEnZG5u47U0v36VxVz4jvHyFCp+HNUZNXvJMgzy%20DPo1CpSYc6PQzcKilmIwK4vxZexag0Pkhh5eQSy4zWM91O+cyOf+BGoi5OMkn61pGnYhyuZF/G28%20yqMKDtrOKnNdK0C3DhCQI93zc1PJp9sm5FiUgd8UnKwzm7UrbzrKSrhe1aN1rqSywOseWibJz0NV%20bV4oIrlnGS3yrxVFYmkPAwM9ae4Hotrd4sYmtxuLD5R3XPaowBHOV3BmIy+Ox9Kz9FvEWLbu+YLg%20D1PrVjHlhZCT5jsSR7VLA0o4muFCRgs+eEHU10eg6HNDN9puRs28KvrXLQzYKtGSGHII7VtN4ivD%20a+SxU5/i71LbSsFjU8R3kUdg1sjAu59elef61G89r5UTD5mAb6VsOXlkAALyOcD1NWLXRpYpRcbH%20SX+6TwfrUr3UO12cJZ6QyussjMNjDAC8mrl1pOm2yLLLeTb927yxFkj2NeipIvCvbgN32rmpZrSK%20eIrLCjKf7y5pe1ZXKea6bq/2C/nu40XMvQEfdHpU0+tC9vormYnzo+AR/d7iuqvPB1ndZaHdGx/K%20sqX4f3Jz5dxGB75rRTiyXFkDyJdgSu2Io13YXqSTVq0u/s/leb8jcMoPpRB4Q1S2jePzYHVhjqa0%20IfDt1+/80QncAEYnpxSckHKyxc6tJcnc0gAx0B4xTLKzbUHDOn+jfwtnqajtPCkiODcTKVA6L61v%20xRpCixJgBR0FS2ktCknfU6DwdZwWdvdCBAm5wTjvxXQTHEMh9FP8qxfCwxDc/wC+P5VtT/6iT/dP%208q1hrEl7ny9q2rSTX02Z2kRJWOx14zmqNzqDXACgBEI5AXANaMmlibU5VmCxKXYk55PNOk0gxSiI%20/vFIygAyPzpXjcu0mjDQxqPmGR/WmlAGGCcmti4tJoUEX2ZCrD74FRzaWsVn5qOWkxkAcg/SjmQu%20VmbyrY3D3x3q0sEli6SMWRmHQjGa1NMsLcPB51tI07clW7AVr6tYWU+RJLhlGQ27hfak56j5TiHc%20byV5Oams7vyLgPIodT1BFW4tGWeSQfak3x5JUDkiqbwQ4JjlPy9dwxmq0ehOqNN/EKqw8mDbz97O%20Mj6VWuNbnmkDLhcdM84rPZDjOc0scfnSIkS5ZjijlSDmbHy3dxJkSSsVJzjNEcEjRef5ZKE4zjOT%20W5Bp1nBZn7RbyNeA8c/LnsDU4gmEEUk8QtEVsupX5SKOZBymLFo1/O20QEcZ5PGPrTDDaGFo/wB4%20two79Ca1oRDJeExSuUV8hQTgj2NaI04GczpFHJKPmbfwfqKXMOxxixyFgqISSatnS5TZNcsQApwU%207itm8kFu+233tcKSwwoKn1qvcSXE0Qjlg+z7AC/owPf60cwuUxopmjxiONl7hh1q3c3cb26rGqqv%20XaoxtovtMkhdDGrsjruUkY4qgVBKjpmq0FqizpsjJcbk2K46F+la95hUeSSTy5yuUOCVf6elYsX7%20glyobHTPrXQQyrfQQPKomJG1owdrAeopSKiQW80jwJFGCSuAWc9KsQXL3AdCDGF+5KFwR61N9nFv%20IJIxIyYwUfpj6GmX+qS28sSSxfus7uB/I1F+xdj234aBh4GsQ7MxBcZYYJ+Y1peK8/8ACP3GCAeO%20T9az/hvKk3gmzkjbcrNIc5/2jWh4rVW8PXIc4XAyfxrToZdTzpZkDHc6op6EDNErLgLydxzuxVOU%20rGpcyYVOcLjkU6Bg0JYFss2F3dF9KgsWaG3aQyNaxPs5yyjJNMuNQjQMqqA2OFC8flUFzKYlA3je%20RhiOQfWoZ50ihTYMs2MsO1K4rHN6pYxTiSSCDZz87J6+lVLDTrm2uvMAVWCEYPoRXQXF3CyjapVR%20nco4NZsl4zTBidq5x7kHtTTEyvDfmxzHDtLn7xHODUHmTuGaYnnpmnxQRQEuSpBc43HnFNnuxczs%20oxx02jtVITLfhX5/FWng9DL/AI16xdWS6rpLWkxYAZDKON3tXjunTNY38N0nWGQP+Ve5wKL+3hvr%20Qq8EyhgR1GeoqhHlF14C1V5Izawbg5IIY42/Wu/8E+Ef7BtWaYh7ubHmMvRR6CukhtJGbLZ/pVi4%20uLfSbOS4uXChVz16+woA5L4makthoCWKN+8uWwR/sDkmvKLWLzGMgJDgngdK6/XXk8R3013fJJEx%20X90incVQew71Q0/R3jlKRRu6HDEhckrj07UpAYrwxtl2IB7gVItvGwxuGAAME9a6GbQpRvVrOUnO%20VOOv5e1ZUujXCEbLWUkNkEKePUVNxpFFLUtKSRtQDK+1PSBTnZt3Z4B7VahsbpgzJbTOgOG+U0o0%2064kkYpby/IcEhT1pal2K8loPMKbAzqcfLxUJ09JFX5Bk9fetIafd7dywznaRlyh5oW3mKyBbeXaj%20YOV79qQjNXQIZW+ZsEdamtNCjR/mj3EZxzWxYLJA6pOvXO1XU844xWi1i5lRltih27FI457/AI4p%203CyM0aejqBu+UdMcZr0f4axtFY3qsc4lGMjkcVxflyNCqhOFb5sjkY/lXd+ABH9lvGiYsC4yT9KI%207iZl+LbfzfEExX7+xQG9OKylt3jwc5LDn1rc8VSD+3mRAd+wdqxVMqyLzvA64PSuKp8bOiPwoV41%20Qblxubg8UoESxEyZyp7etIZIomCseWPOTUU+FbcR+767s9KhodxxjGSUZ+Rkg+lMCpvAcr0yynvR%2056SFlVyQOT703l4sqMsTwBwcemaV2LmvsSwweaZGdhHAh421ozTRrpiHTyQh5Zx3FUobuLT4Nkqq%20zMcgehpZQkuFRmWPA2heAKt6BcpozJAPM3O7Esu3qwqULJJAjeY0LhuVIzn60pt0eJUy5ZOuOg/+%20vTIBcRlxOVkhHAyMMKld2JaFsfMCDhSR/DSRxMG27iMjgk0LIsiBsFTjt7UrTubfMarkfdHrTbSN%20L6CNbARCSRjkcZHeq+9dzADcM/lVuFiylpXAJH3T/DT0VGyFZc9xiiMg3M2aVwxfDFR14ppZWIYO%20duO3atKZ1KbEZC45A7VTVW8w/IpP3tq96tMViBpGVDu2lMd6a27ywY/lDHt3pZAWBAUAnopFPa7w%20mxolBIxuFMCNdmz96RlTwCOT7U1nDLkN0zhT2pGZ8r5h3RqeFNO/dOiujbedmCOopiIYboXCCVT8%20me3SonbBaQ/cPAFTi3toWKxGUqWyyqOAaJIkCImR5YO7PemJnTfDwH+07hgCFMXA/GvQq89+HYYa%20nd/vd6FMqCOlehV00/hMJ7mX4iRZNGnV1DKcZBrhxp9uy8wqcdwK9GubaO7gaKUEo3XBxVD/AIRy%20w/uP/wB90Ti29CU0cFJollKDm3GfUGq7eF7FzwHX6GvRv+EdsP7j/wDfVJ/wjtj/AHX/AO+6SjNd%20R+6ebSeFLdQSkhOB0YZp9roVrn97DE49lwQa9H/4R2x/uv8A99Un/CN6fvDbHB/3utO0xaHD/wBi%206eRzaRHj+7Tf7HsCWzapyMH3ru/+Eesf7r/99Uf8I9Y/3X/76qOSRV0ed/8ACL6SFK/ZF2tWfd+C%20bKQn7O7Qj0PIr1T/AIR2x/uyf99Ug8O2A/gf/vqmoTQm0eJXPhW8tXIt1eQeqjGadb2epRyxLNZy%20YXI3Yr2v/hHbD+6//fdL/wAI9Y/3H/76qrSFoeMx2uomKU/ZZfMRvkXGMircWk6lOFLI0QHVSOte%20uf8ACP2P9x/++qP+Efsf7r/99UuWQaHn2n+HUs7kTvcPIccA9jWuI8epzXV/2BZf3X/76o/sGy/u%20v/31Uum2UpJHK7MN0/GlxXU/2DZf3X/76o/sGy/uv/31R7Nj5kcsRxTSRng11J8O2J/hk/77oHh6%20xH8D/wDfVHs2LmOUJ44pOa63/hH7H+6//fVH/CP2P91/++qfs2HMcmF9TkUYGeK6s+HrE/wv/wB9%20Uv8Awj9l/df/AL6o9mw5ir4XGIbjnPzj+VbUozC4/wBk1DZ2MNiriAEBjk5OanZdylT0IxWkVZWJ%20Z89XUMo1OSMtuKu2FYcgZ/lVZUnSZUKBiOSE5x9TXrx+G2llpcT3YEjZI39Poaa/wy0pvu3N4o9F%20kqOSRrzqx5LKpebMV2xGOFCjj1FODE2qeVCHEb5YK3zGvWE+GOkJJvWa6z/vUsnwy0d9xWS4jdur%20K2CaORi50eQzhfOH2hzC45Rj0b2ojjdPmZVaVzyCCwI7Yr1l/hRocsIjle7cg7txk5zRJ8KdGlkV%20nnvTgYx5uAfrRyMOdHkckMUhcTbTMoJEYymB6Z71gX8sUojWBNigH5PevdX+EGhSOGea8IHQGTio%204fg14fgl8xJbzcOmZM4qkmiXJM8Rg0qSYRyWqtdJ/EoGMH0NarWFq06G2Qx3AGCmduT3r2FfhRo6%207tlxeIWOWKSYyaePhToXlBHNy5ByHL/MD65oaYJo8gutQudHVIbiBgvVGPIb2NNS7j1B4zdttlzw%20EyAyelewXXwq0W98sXEt3IsfQGSo2+EWguSQ90uTu4fp9KXKHMeSzMlvItvNcIm75k8v+Eehpy7r%20T97cBWjLZL7vun2r1r/hUvh84Did1znDP3+tLJ8KdEnRo5nuXiPRC/C/SjlYcyPKlvYpTumeOWHO%20Fl24I9siqFxcyy7tsbNGnQ5zk+ma9k/4VPoX2cQFrnyx/CHwKc3wq0J5FfNyNgwFD8flRyhzI8eW%20Od1wYgsW378jEkVQn0kG4VoYgYwMkK2Qfx7V7gPhXoyszeddkH+EycVHH8KNFigeFJ7wI7bmxJ1N%20OzC6PF/s0PnC3uUYLJhlbcPlH1qzLCbW0a2tQ6TKNynGSw+tewf8Km0AIqj7RhTnl81Knww0lDkT%203e7130WYKSPHtN826hm/tKXyhGm8ljgEe9SJo32uFJ7e4FxFuzsz/LNevv8ADHRpMlmnJJySSMmk%20b4YaTu3QzXUPGCI3wDS5WPmRoeARt8IWg8pYsF/kUYA+Y1N4zbb4ZuumDtBz9avaJpEOh6XHY27y%20PHGSd0hyxyc1H4j02bVtFntLZ0SWTGGfoOavoR1PIirXLHYwESj7vGB+NMU7tsckvAbII/hFdd/w%20r3UvLYGe2JPXkgH9KRvh3qSH/R57VAfvEkn+lTYq6ONd3MkwCnK4xxkD3qq482LykA2r1bvXeL8P%20NSii2RzW3XLZZvm9e1Mk+HOpsD5U9nGc9s9PypWYXPPXjZ5WU/Ig4GB1qM2CLMhXlQOnpXoZ+GWo%20KrbJ7ViezFv8KjPwx1MsuZrXGMMNzf4UuVi0PM72xaVw5KqDx9DVa58m3AMYHTBI6mvULr4V6nOh%20jW4tAp5yWbOfyrOPwb1cK2LqxZjwCS3H6VaQmebh9z/LnHeui8PeM9S8NgrblZbcnJhfp+HpXQp8%20GNcTP+mWJB9S3+FSf8Kb1rvd2PPu3+FUIfN8YZzARBp6JIR1Z8iuVu/Ed7rt20l9csxkXao6Ih7c%20fhXTN8GNYbH+l2Qx6M3+FSw/BvVd6+dfWoUHouT/AEoYGdZpLKBNiRXIHmbF5yDzzWvaJ9n1MMoP%20lRjgbvvVqR/DfUrdGSG6hZTjaru3+FTP4D1d7hJPtNt8vQ5PA9MYqHdjKUU80NmkYCyNv3klu1Ub%20u7inCmXerJIxCxyD9a6FvA2pEbDcWzL2PIIHp0qsnw6vhMWeS1Zc5A3H/ClZj0MC4vkufKeYSx+X%20IWHlSAA896ni1ZXZpWUcuzbNwI5NaD/DXVCzBbi0KN2JPH04qJPhfqg3ZuLMBuyluv5Ue8O6MB3u%20HtJ7dWKtLMJlIf7q9MVoxak/7tnhVYwP3gLDl+zH6YrTf4b6uXBS4s1G1R1bt+FRj4Z60A6m7tGV%202ycluP0qbSC6Mi3mhkgja8wxQMPNDcgliauW+tFjMVUbfMPBYZwRjg/hVhPhdrG8+ZeWm09sk5/S%20nL8L9U3Em4swecYLfh2p2fYV0Z/nojyyxPiM8HJ6j612vw/nWa0vNvaQfyrn4vhvrCIVM9ljtyx/%20pXV+DtAvdBt7mO+kgcyOChiz0A71UU7iZj+Ktv8Abr7T84QHArniSwChmyTk47V2HiDw3e6jqb3N%20s0aggD5j1xWZH4K1JDu3Rbicn5q5p025N2NoyVjBAjR+VcseATzU0yAgRghQDg56VtSeDdSdlYGE%20Edfmpp8E6gyjc0ZOck7utT7OXYrnXcwlCI5CKFIH8FSRszD5U2Y7gda1/wDhB9SJDb4kYdw1Tf8A%20CH6nuJBhGfQ0nSl2FzROcitgZGd2XBJG4jmrRIhQJESSSNxPp61ux+EdQVhuMOB05pZPCmosflW3%204/izzS9nLsPmiYSxuCzRZAHVakJLR4ZRvx90962Y/CuoxBivk7m+8d1B8KagQP8AUq3qGp+zl2Dm%20iYKSJEm1V6HnH61ApZjkA7c4HYmuhPhDUiR80JAHTNM/4Q3Ug+7MP03Ueyl2DmiY8i7tpPBz605G%20ji3eYS5zxjj8K2F8IaouSXhJPHWnN4QvnUBhDjHI3U/Zy7Fc8TCE0L/u9o2nsR39KUSGLfsXOOgO%20DWu/gvUS6tGYUK/7VDeDdSJzuhJHbdxQ6cuwc8TDEkUYDP8AM2cnJ6VHIGkJOwsM4ya3X8F6o2Sv%202dCe4akXwTqm3DvG31aj2Ug9pE53yAJP9YT7YzSPCHbY/EbHcufUV0aeCNURmKtCN3GN3FJJ4G1I%20nMZhDepaq9nIjnicpM80lyBvKgddpxu9qjiVgDIcljwc9RXSyeAdaZwd9uRn+92qZ/AOpKu6Iw+Z%20jn5zg1XJIXMif4dk/wBoXCnnEfX8a9Brk/CXhq70S7mmuSmJExhWzzXWVvBWiZSd2FFFFWSFFFFA%20BRRRQAUUUUAFFFJQAtIaWsfxRqI0jw5f3pkkjEURbegywPTgUPQDTnmS2geaZwkaDczHoBSQTpcw%20pNC6yROoZXU5BBryrwpd6mviyPTb68luLTUNOaZ4prgTEccH2+ldT8LbiSbwYkbksLa4lgQn+6rc%20UAdiKWkHSloAKKSigBaKSloAKKKKACiiigAooooASilooASilpKAFopKWgAooooAKKKKAMnxHr9v%204b037bdI7R71TCDnJOKWbXrNdNuby3mS5W3QvIkLhmGK5/4rRNN4NdVieX9/HlEBJIzzWFpkFpJ4%20qluNEtHttNTTGS8/dlFL44BB6mjcGej6bfw6nYQXlu26KZA6n2NW65H4YrKPA1l5oI+Z9mf7u44r%20rcUALRSYooAWikFLQAUUUUAJS0UUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAJWRrviO00CKE3Ik%20lluH8uGGJdzyN6AVr1yvi/RL+7v9I1XS40nn02Yubd22+YpGCAexpAVrzx6v9n2Op2cTCzN6LW8S%20dCrxk8cfQ12Y5ANea+K01i+8JxWWq29tBe3+pRrbwQ8lV3Z5Pc8da9JQbUVfQYpgOooooAKKKKAC%20iiigAooooAKKKKACkpaKAEopaKAEopaKAEopaKAEpaKKAEPAzXJeJPiHpehW94sUq3F5bDmEZAz6%20FsYBrrTyDXkGraVq1noWv6Kuhz3c13cmeK5QAqyk9z1yKQ0d7ovik6nq8mnzW4hlEEdwmGzvRh/S%20ujrz3R7aU/EaywhX7LpKJP8A7LHGAa9CpkhRRRQMSilooASilooASilooASloooAKKKKACiiigAo%20oooAKKKKACiiigAqG5toruCSC4jWSKQbWRhkEUUUAYy+EdM0+N5dIsLeC8WJ0hk5+XcMdfSrHhnR%20V8PaBa6eGDPEuZHH8Tk5Y/maKKQGsKWiimAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFF%20ABRRRQAUUUUANZQ3UVWv7BNQsJ7R2ZEmUozJwcGiiiwD7Gyi0+yhtbddsUKBFHsKsUUUAFIaKKAA%20UtFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAEMttFNJHJJGjPEcozDJU+3p%20UtFFAC0UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAJQRmiigCpb6ZbWt5P%20dQxBZrggyvnlsdKuUUUAFFFFABRRRQAUUUUAFFFFABRRRQB//9k=" height="167" width="779" overflow="visible"> </image>
            </svg>
          </div>
        </div>
        <div class="fig"><span class="labelfig">FIGURA 1.&nbsp; </span><span class="textfig">Tractores utilizados para formar 
          agregado con las gradas. a) Tractor XTZ 150K 09. b) Grada Baldan de 24 
          discos. c) Tractor YTO 1804 d) Grada Baldan de 52 discos.</span></div>
        <p>Se
          seleccionó el IV escalón de marcha sin reductor en el caso del primer 
          agregado y I escalón de marcha sin reductor en el caso del segundo 
          agregado, siguiendo las recomendaciones del manual de explotación del 
          tractor antes mencionado y el movimiento del conjunto fue de lanzadera. 
          El tipo de viraje o movimiento de giro en los extremos del campo fue en 
          forma de tramos rectos y curvos (<span class="tooltip"><a href="#B12">Jróbostov, 1977</a><span class="tooltip-content">Jróbostov, S. N. (1977). <i>Explotación del parque de tractores y máquinas</i>. MIR, Moscú, Rusia, URSS</span></span>). El método utilizado fue el analítico investigativo y la técnica del fotocrometraje según las normas <span class="tooltip"><a href="#B15">NC 34-37 (2003)</a><span class="tooltip-content">NC 34-37:03. (2003). <i>Máquinas Agrícolas y Forestales, Metodología para la Evaluación Tecnológica Explotativa</i> [Norma cubana]. Oficina Nacional de Normalización, La Habana, Cuba</span></span> y otras como <span class="tooltip"><a href="#B16">NC 34-38, (3003)</a><span class="tooltip-content">NC 34-38: 03. (3003). <i>Máquinas agrícolas y forestales. Metodología para la evaluación económica</i> [Norma cubana]. Oficina Nacional de Normalización (NC), La Habana, Cuba</span></span>; <span class="tooltip"><a href="#B17">NC 34-47, (3003)</a><span class="tooltip-content">NC 34-47:03. (3003). <i>Máquinas agropecuarias y forestales. Metodología para la determinación de las condiciones de pruebas</i> [Norma cubana]. 10, La Habana, Cuba</span></span>; <span class="tooltip"><a href="#B18">NRAG (2005)</a><span class="tooltip-content">NRAG, X. (2005). <i>Máquinas agrícolas y forestales</i> (p. 18). Ministerrio de la Agricultura, La Habana, Cuba</span></span>. Aunque para el procesamiento de datos, también fueron utilizadas las instrucciones y metodologías expuestas por <span class="tooltip"><a href="#B2">Garrido (1989)</a><span class="tooltip-content">Garrido, P. J. (1989). <i>Implementos, máquinas agrícolas y fundamentos para su explotación.</i> (primera reimpresión). Pueblo y Educación, La Habana, Cuba</span></span>; <span class="tooltip"><a href="#B6">González &amp; Tzucurov (1993)</a><span class="tooltip-content">González, V. R., &amp; Tzucurov, A. (1993). <i>Explotación del parque de maquinaria, Ed</i> (Primera edición). Editorial Félix Varela, La Habana, Cuba</span></span>; <span class="tooltip"><a href="#B12">Jróbostov (1977)</a><span class="tooltip-content">Jróbostov, S. N. (1977). <i>Explotación del parque de tractores y máquinas</i>. MIR, Moscú, Rusia, URSS</span></span>. La dimensión del campo donde se efectuó la investigación es de 500 m de largo y un ancho de 200 m.</p>
      </article>
    </article>
    <article class="section"><a id="id0x7b0c780"><!-- named anchor --></a>
      <h3>RESULTADOS Y DISCUSIÓN</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <article class="section"><a id="id0x7b0ca00"><!-- named anchor --></a>
        <h4>Ancho de trabajo y su coeficiente de utilización</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <p>Los valores del ancho de trabajo obtenidos mediante las mediciones se muestran en la <span class="tooltip"><a href="#f2">Figura 2</a></span>.
          Apreciándose que para el caso del agregado formado por el tractor XTZ 
          150K 09 y la grada Baldan de 24 discos el mismo osciló entre 2,46 a 2,70
          m con un valor medio de 2,58 m (<span class="tooltip"><a href="#f2">Figura 2a</a></span>).
          Para el caso del agregado formado por el tractor YTO X 1804 y la grada 
          Baldan de 52 discos los valores estuvieron en el rango de 3,25 a 3,31 m 
          con un valor medio de 3,3 m (<span class="tooltip"><a href="#f2">Figura 2b</a></span>).</p>
        <div id="f2" class="fig">
          <div class="zoom">
            <svg xml:space="preserve" enable-background="new 0 0 500 172.436" viewBox="0 0 500 172.436" height="172.436px" width="500px" y="0px" x="0px"  version="1.1">
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xhwmVHOOM%20HjOCRWRH4T1hNNu1/sS4mSTVba6W2maJd8YQ7gQuFHPGB7da9hrK8UapNovhnUNRtlRpraFpEDjK%20kj1ovbX+tP8Ahh76f1qefz+H9Wayvbi28PCC1vNRjlGnhYmkhRU2l1UnYGJ9c+tUdM0W9tb3SNGk%20LWuoldSKK7qWjV1ARvl6A+2O9d9N4506yvLa0vFuVkl8tXmWE+SjuAQpb15Hr1q9rmq6Z4eRNQvI%20d1xKwgi8mHfNKT0Rccn6UWt+X6Cucj4T0C+h1zSpRoY0dNNtXgu5dyH7YxAAxt+8Mgtlueah8e+F%20dS1XxMbqK1u7y1ntBBGLZ4l8pwxzuLg7Qc53LzxXQN8RdHFqZ1jv2/0o2YjW2PmGULu27evt9asH%20xxpiavBp0sd5FJNIsKySQERiQjIQt/e5/Oh6tf1v/wAOGxyeq+C7q5j8VM+mC5uZbW3jspn2s7Ms%20YBKsehyOvFdNr+m311H4a8iBpHtLyOWbkfIBGwJP4kVTv/iFC+rWFlpMUkizagtpJPLCwiYc7tj9%20CQRWrYeNNM1HWxpcQukmfeYnlhKJNs+9sJ64oWv9dtQ2/r5focb4S8O6xbeMtP1C90qSzSNLiOco%20Ili3HkFQp3MD6sSc+lbPi3SLpvEyak2if25ZvZNbLbgpmCQtndhuMEcZHIxWj4q8b2vh9bu2iSae%20/itmnwkLPHFwdpkI+6CajT4g6bbQ2Kag0guJbeGW4aKMmO3MgGNx7A596N0l/Wtx7f16HFHSLnTt%20ctNPvtHXXbuHQRG0YZSYyZGwRu6gZxnrSaj4D1pfsMVxb3d6Dp0VsDbSxAQuCchmcEgc/eXnivRv%20EMmpQNbyaHZ2bXMxKS3lz9yCMDdlsYJGewrnrn4h3Fv8P49XFpG+pzeYsUK5KPsJDSDvswM/lRfr%20/XX/ADF1/ry/yIZvDF9GfFdzFpcN1ezxxR2j3ADeaoiCsAeO+fTNYlp4Q1lrDWtumTok72k620xi%20Tz1jYl48J8oz2HpjJr0q61220zw6mq6k/lxeUjtsUklmAwFHcknAFcsvxAnutRvo4ovssEE1pEgu%20rZxLmViGVlzwemD0+tPW9g6XIk0a7u7zSbiz8O/2PCmoSSugdSVBhK+YyrwvOBgZrP0bwvqcU2l2%20/wDYn2K400TG71AMh+27lYYBHLbiQfm6V2Nl420u/wBafTYRc71d4xMYSImZPvAN7c/lTbDx3o+o%20SzKjXMUMcbzLczQMkUqJ95kboQKQHM+HfCV1pc3g6ddLFvNbRzi/kUKGG5TjeR15+tS+MNBvp9f1%20G4XQhrEV9p/2e2bcn+iyDOT8x4zkHI54res/H2j3cVxI/wBqtVgtzdf6TA0ZkiH8aZ+8On5ir3h/%20xPZ+I1mNpFdRNDt3JcQmM4IyCPUUNXBOx5rfeCNYnuLTzrK9mWWwtYUMEkSC3ZAAwcsCVwecp1rt%20/FehS6tqHhtGtReW1td77neAQF2EZYHrziurop3/AMxWPLtI8GXlnNosiaYIJUvL37RIoUFYnDCP%20JHVeRgVDYaLrzw6DYzaHPCulW91C87SIVkZo2ClQDnB4/OvV6KXkPzPKE8K6yLNEOnybha6YhGV+%209E+ZB17ClvPDOprqEkB8Pm4uP7bW+/tQMnMJkBxyd3A4x04r1ainfW/9dP8AIOljy/8A4RfVDqP2%20MaRtu/7W+2/23vX/AFW7djP3s4+Xb0rpPHOl3V6+kXcOn/2nb2VyZJ7LK5lBUgEBuDgnODXWUUui%20Qdbnj0vg/WH0yKT+ybmCCPVLidrG3aJnCOoCFd2UIHTn8K9F8G6ZLo/hays7hZUkRSTHLIJGTJJ2%205AA4z2FblFC0VgeoUUUUAFFFFABUcP8Aqx9T/OpKjh/1Y+p/nQBJRRRQBHB/qV+lSVHB/qV+lSUA%20FFFFABRRRQBzniXwvJ4l1LTfPuWi0+0Z5XWGRklaTGFIYdAOayLbwBdWNxbxW15G1jbaquoRLKzN%20IF2kOpJ6ksc5ruqKFoD1OHm8E6il1cX9nd2q3q6q2oWwlVjGQyBCr456Z5FX7bw5qz67pWqale2s%2001rDOkoijKDMmMBR6DHU8mupoo6W/rsBwVh4I1nRYNOuNMvbE6jaLPC4nRzE8ckhfjHIYHFasXgt%20E8BTeHXuiXnR984XHzs24kD0z29K6iigOtzz658B61rbXja3f2O6bThZJ9ljYBSrhgxz1Bxz+lbP%20gzwpJ4cF3LcRadHPcFRtsY2VQqjuWJJJJ/CuooouFjiLDwVqdrqtpJLdWj2dpqU17GAreYVkDZB7%20ZBNV5PAWqTeKotTuL20njg1D7VG8nmGUR/8APPrtUDtgc967+ihaW8v6/QHr/X9dzgNM8Da1Cun2%20V7qFidOsrxr1PJibzS5LFVyeMDdnPWsi78Earo1vc6pfTRX8yWdzbZt45ZJ5zIMITknkE4wMACtq%20TxVe6VeeJJGKXIgv4oYEuJxFHEDGGPOM+vABJPat7wn4mXxL4dGptD5BV3SRQdwypwSDgEj8BS3X%209dUPqc3B4M1pdPxp91aW66np0Frfx3MbM8RVNpKY4zgng8Zrf1zwlHqngsaBDNsEccaxO4yCUxjc%20O4OOaybHx9f3k+lyNoyxafqksi205uMttVWOWXHBO31pieP9TPhmDV5tKs4EumxbiS9wCoB3E/Ln%20twFBJ9qctb3Ela39f1sMtPh9dQ2UA/4lltOupQ3ci2sbhNkYI2gsSSTnPNdFo2gz6bqeu3Mksbrq%20VwJYwucqAgXB/KsS28f3er2elLo+kia9voZJ5I5J9ixIjbWIbHJJ6cfXFZNn4/v9H8E6Zd3Ecd5c%20SpLJK9zchGwshG0AAlj+GOOtD63/AK/qwL+v6+Y+6+Gur3GkWen/ANoWckEdo8DxyiTYrlywkUAj%20J5A+bpXV6h4abUvBC6FLMsUgt44/NQZUOmMHB6jK0mqeK1sfCltrENq80l4Ilt7csFLPJjaCe3Xk%201y3/AAnGp6HfeIJ9agIliktYYLMTbo0d1PIYDO04yeM+1D6r+v61DsxPE/hjW5tE1XUtSkgudSkt%204bWGKwiYqEEqsWIPJOefQAVcv/AOpeIINQn1i9tDeTwxRQCGNhGFjbcN4Jycnrjp2re8LeKf+Ei0%20a4u2tjDLbuyOoyVbAyCpIBIP0rkvDN/rVxcSwXt3qtrrF7bSy2a3zI1qRu+8qqNwKgjg0eQdDT0/%20wDc2sFkT/ZsEsWpJeSpaxuE2KpAUFiSTznJqPVfAWqal4ka/kvbSWFL2K6g87zDJGqkZjAB2gcdc%20ZNXPA9xfSapqkP8Aadxqulw7ES7nx804z5gQgDKjj8azda8YatetE+nWpttNTWIrP7Wsw3yESBXB%20TH3TyOtPqv67f8AOj/rua2n+Gdc02eezt9Qsho8k8s4BhJnJkyShPQDJ6jmqNt4I1rSbezfSr6w+%201DThp9yLiNmQqCSGTHOeTweKqT/EC40TR45hbNcGa9uozLeXBCIEcgLvC8Z7Aj8a2Z/GWoT3Nvba%20LpCXtwbNb2dGulUIjHAVWGQzZB9vektv67f5De/9d/8AMisfAcumvcJb3UbQto405C4O7eCxLH2+%20boKtXXhGe58BWWhi6jju7SOExzBSU8yPBGR1wSKr6n44vLW6v/sej+faaWiPfu84R03LuKouDuIH%20XkVDcfEUx+LINLjsovs8pj2yzT+W8iuoO5ARhgMj+LPtT3/r1Ftr/XQqX3gDV9aGqz6teae11eNb%20yRpEjiINFn5WB5KnPXOa3vDHhd9D0S8tpEsop7pmZltI2WNcjAHzEk/U10tFLpYPM4jT/A15ZwaU%20j3NuxstMnsmIDcu+MMPbiqo8Ca1Z29umnX1grtpK6bcmZHYYGfmTH1PWvQaKHr/Xr/mwX9fh/kcA%20nw+vlt0j+122VhsI84brbtlu3ftUy+CtWsp7e+068sxfW97dTKJlYxtHMckHHO4YHSu5op36gcDY%20+B9a0qCwurO+sX1W0luSfNjbyZEmbceByCMDpXQ6B4b/ALJ8OSadPP50twZJJ5FG0F5CS20dhzxW%207RS6WA8+tPAesl9LtdQ1CyfT9Nhmt4vJjZZWR0KAknjIyOnFW/BXgSXw1ffaLldNzFB5Eb20TiSQ%20Z5Zyx4JwOBxXbUUX6gFFFFABRRRQAh6Gmw/6lP8AdFOPQ02H/Up/uigBIvut/vH+dSVHF91v94/z%20qSgAooooAKKKKACiq1xf21pLHHPMqPJ9xT1P+c1ZoAKKKKACiiigAooooAKzPEmlPrnh2/02ORYn%20uoTGHYZC571p0UAefan8Ob7UNW+0vqFrJGssE0XnRMzxeXtBRTnCqcHoM1r+PLOeXT7G9skuWvLC%206WaHyLfzucEHcmQSMHtXVUUAjzrwz4a1PUJE1PUN1u41hr/ZPFsd18vZ93J289M9qsXPw+vrjxON%20Tkv7aZI79byMyxM0qqOsYbOAvpgfWu9oo7f12/yDf+v67nCQ+BNVguLK3TVbc6VZah9thiMJ83kk%20lS2ccFjjj60mhfD+90vxJaapdX1rctbNMDJ5TedMr5wXck5Iz0HGK7yihaA9Tj/EHhDUr7U9RudI%201KC2TVLUW12k0Jc8AgMmCMHBI5rMuPhg8t/BMs2nyK0EEVwbi1811MahSYiTgZA7g16HRQtAepzf%20jLQNS1/S4bDTbyC1g3g3CSqxEyDoh2kHae9ZeqeALjW9L/0zUfs2opataJ9hBjtvLJyFKHJx0zg9%20q7iigDm9R8KPfeDodGF/L9otxG0V1L858xCGUn1GR+VZDeBtXvbu7u9S1K0kuLme0lPlQsqqIWJI%20AyevrXd0U763C2ljhbf4fXMfjB9WkvbdYGeRmFvEY5ZlYH5ZMHaQM9cZOBU9h4M1OPSZdDvtWik0%20UW720UcUG2Uq3QuxJ5X2xnvXZ0Uulg63OKt/BeqXD+brGqW000Fk9laGG2wqq2AWdWJDHAHHTrU/%20gjwbceFpbySe5gK3G0Lb2qssKEZywVicE57cV11FFwCiiigAooooAKKKKACiiigAooooAKKKKACi%20iigAqOH/AFY+p/nUlRw/6sfU/wA6AJKKKKAI4P8AUr9KkqOD/Ur9KkoAKKKKACiimyOsUbO5wqgk%20n2oAdRVLStTTVrUXEMbpE33SzKcj8CcfjV2gAooooAKKKKACiiigAooooA5q/wDAunahcT3DT3kN%20xNdLdiWGUK0cirs+XjgY+taWh6DbeH9OksrR5pInleU+c+85Y5PP1rTooA840jwHqcHiGzluFitt%20NspZZYo0vHmA3qV2opUbBznqa6KXwJpz6bpdnHcXsP8AZZP2eaKULIAeCCcdx7V0tFAHK/8ACvdM%20SzsYILrULdrLzBFNFPtk2OSWQtjlST9feov+FaaQLa2gjudQiWC3e2Jjn2mWJmLFWOORk9sV19FA%20GPd+GLG+8NxaJcGZraJERHD4kUpjawI7jFZifDzTBBeLLd6jNNdvFK1zLPmVJI/uurY4PNdXRQHk%20ZulaJBpWnSWgluLpZWZpZLqQyPIW65P9BxWNbfDvS7WK4jjutRxJA1tEWnybaJjkrHx8oP411dFA%20GH4c8LReGo/KttQ1C4gCCOOG4lDJGB/dAAxVGf4e6XNqLXQuL+NDdre/ZknxCJgc7tuO+Oa6qijr%20cDl7jwDp89mtul3qEG2aWXfFMAT5jbmUjGCM9Mjiif4f6XJFaJaz31j9ntxa7rWco0sWc7XOORnJ%207HmuoooA5m/8A6Xf3TS+bewRyokdxBDOVjuVXhRIOp446jNLfeA9M1DVFvJpbwRh0kNqsv7ksmNp%202kZHQdCOldLRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAIehpsP+pT/dFOPQ02H/Up/uig%20BIvut/vH+dSVHF91v94/zqSgAooooAKKKzdX1hNL8hfLMss0ioEBxtBIBY+wyKAKus6fc3F9HPZx%20SC4EexLhZ9qx/MCcr3H51t9sZ5rK1LWvsOpW9oEj/ervaSRiqqMgAZAPJz3xWrnAo6B1GeUf+ej/%20AJ0eUf8Ano/50vnR/wB9fzo86P8Avr+dACeUf+ej/nR5R/56P+dL50f99fzo86P++v50AJ5R/wCe%20j/nR5R/56P8AnS+dH/fX86POj/vr+dACeUf+ej/nR5R/56P+dL50f99fzo86P++v50AJ5R/56P8A%20nR5R/wCej/nS+dH/AH1/Ojzo/wC+v50AJ5R/56P+dHlH/no/50vnR/31/Ojzo/76/nQAnlH/AJ6P%20+dHlH/no/wCdL50f99fzo86P++v50AJ5R/56P+dHlH/no/50vnR/31/Ojzo/76/nQAnlH/no/wCd%20HlH/AJ6P+dL50f8AfX86POj/AL6/nQAnlH/no/50eUf+ej/nS+dH/fX86POj/vr+dACeUf8Ano/5%200eUf+ej/AJ0vnR/31/Ojzo/76/nQAnlH/no/50eUf+ej/nS+dH/fX86POj/vr+dACeUf+ej/AJ0e%20Uf8Ano/50vnR/wB9fzo86P8Avr+dACeUf+ej/nR5R/56P+dL50f99fzo86P++v50AJ5R/wCej/nR%205R/56P8AnS+dH/fX86POj/vr+dACeUf+ej/nR5R/56P+dL50f99fzo86P++v50AJ5R/56P8AnR5R%20/wCej/nS+dH/AH1/Ojzo/wC+v50AJ5R/56P+dHlH/no/50vnR/31/Ojzo/76/nQAnln/AJ6P+dSU%20zzY/76/nT6ACo4f9WPqf51JUcP8Aqx9T/OgCSiiigCOD/Ur9KkqOD/Ur9KkoAKKKKACmTJ5sLx8f%20MpHIyPy70k0yW8DzSttjjUsx9AKxNE12XU49RkJiYxNmCNSMhSuQD70AXdJ0t7CSeWV4i8wUFYY9%20iAKMDA9a0GQN1z+BIrK0G9urhJYdQZxeRhGkjZVAXcMjBXqPrWq0ip97P5U2A3yV/wBr/vo0eSv+%201/30aPOT1P8A3yaPOT1P/fJpAHkr/tf99GjyV/2v++jR5yep/wC+TR5yep/75NAB5K/7X/fRo8lf%209r/vo0ecnqf++TR5yep/75NAB5K/7X/fRo8lf9r/AL6NHnJ6n/vk0ecnqf8Avk0AHkr/ALX/AH0a%20PJX/AGv++jR5yep/75NHnJ6n/vk0AHkr/tf99GjyV/2v++jR5yep/wC+TR5yep/75NAB5K/7X/fR%20o8lf9r/vo0ecnqf++TR5yep/75NAB5K/7X/fRo8lf9r/AL6NHnJ6n/vk0ecnqf8Avk0AHkr/ALX/%20AH0aPJX/AGv++jR5yep/75NHnJ6n/vk0AHkr/tf99GjyV/2v++jR5yep/wC+TR5yep/75NAB5K/7%20X/fRo8lf9r/vo0ecnqf++TR5yep/75NAB5K/7X/fRo8lf9r/AL6NHnJ6n/vk0ecnqf8Avk0AHkr/%20ALX/AH0aPJX/AGv++jR5yep/75NHnJ6n/vk0AHkr/tf99GjyV/2v++jR5yep/wC+TR5yep/75NAB%205K/7X/fRo8lf9r/vo0ecnqf++TR5yep/75NAB5K/7X/fRo8lf9r/AL6NHnJ6n/vk0ecnqf8Avk0A%20Hkr/ALX/AH0aPJX/AGv++jR5yep/75NHnJ6n/vk0AHkr/tf99GjyV/2v++jR5yep/wC+TR5yep/7%205NADlQJ0z+JJp1NV1f7ufyp1ACHoabD/AKlP90U49DTYf9Sn+6KAEi+63+8f51JUcX3W/wB4/wA6%20koAKKKKACs3UtCstUdZLhCJVK/OrEHAOcfStKigDJk0V7qIxXV7O8TM2+MEbWXdkDpnjpkVq4wMV%20zniee9W5tEhhuPsyTRszxY+dt2Np5zjFdH26fhR0DqGB6CjA9BTN8n/PP/x6jfJ/zz/8eoAfgego%20wPQUzfJ/zz/8eo3yf88//HqAH4HoKMD0FM3yf88//HqN8n/PP/x6gB+B6CjA9BTN8n/PP/x6jfJ/%20zz/8eoAfgegowPQUzfJ/zz/8eo3yf88//HqAH4HoKMD0FM3yf88//HqN8n/PP/x6gB+B6CjA9BTN%208n/PP/x6jfJ/zz/8eoAfgegowPQUzfJ/zz/8eo3yf88//HqAH4HoKMD0FM3yf88//HqN8n/PP/x6%20gB+B6CjA9BTN8n/PP/x6jfJ/zz/8eoAfgegowPQUzfJ/zz/8eo3yf88//HqAH4HoKMD0FM3yf88/%20/HqN8n/PP/x6gB+B6CjA9BTN8n/PP/x6jfJ/zz/8eoAfgegowPQUzfJ/zz/8eo3yf88//HqAH4Ho%20KMD0FM3yf88//HqN8n/PP/x6gB+B6CjA9BTN8n/PP/x6jfJ/zz/8eoAfgegowPQUzfJ/zz/8eo3y%20f88//HqAH4HoKMD0FM3yf88//HqN8n/PP/x6gB+B6ClqPdJ/zz/8eqSgAqOH/Vj6n+dSVHD/AKsf%20U/zoAkooooAjg/1K/SpKjg/1K/SpKACiiigBOtU5dIs5ZRIYVDeZ5jYH3m27efwNXaiuJHit5Hij%20MsiqSqA43H0oAZZ2FtYIyWsKxhjk45z+JqxWB4WkumbURerOJftG4mQcAlRkLz0Fbrb/AOHb+NAD%20qKy5NdtYtVTTZJlW6cgKpRtpJGQN2MZwCcZzQ2u2iaqNNeZVum4ClGCk43Y3YxnHOM9KANSis/Td%20XttYilk064huI4pTC7oTgOOoz369quZlH9z8zQBJRUEU5mj3xSQun95WyPzpn22MQed9otvKzjf5%20ny5+tAFqiolaRlDKYypGQQeDUF9qEOmQeffXFvbxZC7pHwM+lAFyiqNzqtvZ2iXVzdW0du+NsjP8%20rZ6YPemjV7U3cVqLy1NxMm+OMScsvYigDQoqP976J+tMacpKsTSQiR/uoW5P0FAE9FQNPslWNpIV%20kYZVS2CfoKbDdpcEiCe3kI6hHzj8qALNFR/vfRP1piTmR3WOSFmQ4YK2Sp9/SgCeiqwulPmYmt/3%20X+s+f7n19KdFMZ4w8LwyIejI2QfxoAnoqreXqafbNcXk0EEK9XkbAFRSarbRaeL57q2W0YAiYv8A%20Kc9MGgC/RWd/bVn5ltH9ttN90N0I8z/WD2q7+99E/WgCSiqt3eJYWz3F3NBDCn3ndsAVE+rW0enC%20/e7tVtCARMX+U54HNAF+iq9vcfaoEnt5IZYnGVdGyCPY1J+99E/WgCSiqEOq21xfS2cN1avdRffi%20V8sv1FNGtWZnuIfttp5tupaZfM5QDqTQBo0VVtL1L+2W4tJoJoW6OjZBqYmUDJ8sAe5oAkoqCOcz%20R+ZFJC6f3lbI/OojfwrGshubUI5wrGQYP0NAFyiolaR1DKYyp5BB4NNknMO3zZIU3Hau5sZPoKAJ%206Kgln8nb5skKbjtXc2Mn0FAmJmMQkhMoGSm75gPXFAE9FNXf/Ht/CnUAIehpsP8AqU/3RTj0NNh/%201Kf7ooASL7rf7x/nUlRxfdb/AHj/ADqSgAooooAKp3mqWthJGly7KX6EISBzjkgYHJHWrlZetWd3%20fxpBAIRGSG81mIeJgchgO/GfSgC1cajBbXMVu/mNNICyokZY4HBJx0HNWq56+0y81ORZWt4Ip1Jj%20W48xg8Sh8hgOhyB7V0GOMGjoAtFR+Svq3/fRo8lfVv8Avo0ASUVH5K+rf99GjyV9W/76NAElFU76%204h0+2M0wnYZChYlZ2YnoABzVb+17NtKTUYRcz275/wBUjMy4znI6jGDmgDVoqjpt3batp8N7amUw%20TLuQuGUkeuDzVryV9W/76NAElFR+Svq3/fRo8lfVv++jQBJRUfkr6t/30aPJX1b/AL6NAElFR+Sv%20q3/fRo8lfVv++jQBJRUfkr6t/wB9Gqd/qWnaW0S312sBlOEDuef/AK3vQBoUVn32o6fphiF7drD5%20pwm5zz/9bkc1HDrGmT6l/Z8d3m7wx8olgSB1Iz1AoA1KKj8lfVv++jR5SZxls+m40ASUVH5SZxls%20/wC8aBEhGQWI/wB40ASUVH5K+rf99GjyV9W/76NAElFR+Svq3/fRo8lfVv8Avo0ASUVH5K+rf99G%20jyV9W/76NAElFR+Svq3/AH0aPJX1b/vo0ASUVH5SZxls+m40eUmcZbP+8aAJKKjESHoW/wC+jQYk%20AJJYAf7RoAkoqtby2t3EZLa4SaMHBaOXcM/UGovt+nfZjcfb4PIDbTJ9oG3d6ZzjNAF6iokSN1V0%20cspGQQ5IIqWgAqOH/Vj6n+dSVHD/AKsfU/zoAkooooAjg/1K/SpKjg/1K/SpKACiiigBGYIpZjgA%20ZJqpZ6ra36SvBIcRffDoVKgjIOCOmKtNu2NsxuxxnpmsSGz1CKWd3hgxeuFliVyVQbSC+eDyccUA%20aljfw6hD5tuJPLPKs8ZUMPUZ6irNZOh6ZLp3nF0igicKEt4mLImBgkE+v9K1GQN1J/A4oAwNXsdT%20u9YtZ4YrdYrNzLHMJDvYbSDGVxjk45z0FRPYarq2paZc3dtbWyQDfIyyFmIZMPEVIxyT1z0FdF5K%20+rf99GuSPxD0SLV57O7eS2hhJX7TI5CFhwR7VLnGNk3ubUsPVrKUqauoq78ka3hvRZNFGpIywpFc%20XrzQpFwFQgADGOOlat2FNpMHiaZShzGvVxjoPrWLD4x8MXBAi12yOfW5A/mauJreiyY2atZtnpi6%20Xn9ap6mPU57R3h0tdQibSbtbG/mJgh+z7XYCLLKU4wONo45/WswaSbnSkupbPULWV7s3AtLexykL%20CPailWGCPVgME+nWu1m1bSYbd7iS/gMcYyWEwYj8jRZazpeoWy3FtfRtG3HMu0j8Cc0rq9r6lqnP%20l57aX36XLGl/af7KtftsaRXPlL5qJ91WxyBVfXkkk05kjsJLzflSsUio6AgjcpOOfxHWpG1HTUOH%201C3U+huAP61C2uaKgJbV7IAdc3a/403qQtDBLa1b+HotKt9LD3ttHFE08ezbGGU7mQEgEqOMdyfS%20q0Hhm8t9dsmtrJ0s4mt2XzHXAWNGUmTnPmDPG35eea19R8a6Bp6xn7etzvOMW0nmbfc4PFTDxf4a%20IH/E8sh7G5AP86SknJ66mkqNSNNTkmou9n37m/XKeJbIXOs2D22mTSX0U8Ugn8r92yBjkF+q4GTj%20jJx1q/H4q8OSkhNbsSR/09D/ABp//CSaB/0GrH/wLX/GmZmHeyxa/rmmPDpl1DCSk8l61qSx2sds%20QYZ285JPTH1rT8MaV5F7qupT2i289zcNHGojCYhQ4Tp68t+NTDxNoIvBaLqkAfbuBEvyY6/e6frV%20sarpTDK6nakHuLlf8aUWuhc6c4W51a+vyNGuMtTFpXiW61GDSrq3tDEIZsw7T5hl4K44cHJYnnHH%200rplvtPcZW+hYeonB/rQ15YbSWvIcDnmYcfrT8yN9DiZtLj1NtYdtPv7CBlECw29od8iCQM0hzwx%20Y9ByQvrnFdZ4YF0ujhbuHysSuIgYxGzR7vlLKAAGI6jAosPEGj6mJDa6gjeWcNukK/z7VYbUtMVi%20G1C3BHUG4H+NKLTWhdSnKEnGas/MdqpcWLGOza8OR+7RwrY9VJ4yOo5FczanWNK8OrpltpKzXsMY%20khOU2x7pGxnJALKvJ55P51vtrWjLndq1mMdc3S/41Q1DxnoGnwLJ/aCXJJwEtpRI31ODxQ2oq72H%20TpzqyUIK7ZgP4WvkuLBbWzlMKpCGMroMsspdjKAfcldnc816FXO/8Jp4ZESu+t2ibgPlefDD2Izk%20UxvHXhRBk6/Z49p8007ohxcXZ7mzqhcWLmOzN4wI/dKwVuvUE8ZHUdK57SlvtN0hNLm0h5zGhmUJ%20IgKq0hwM9DIBznPJ71L/AMLA8I/9B+0/7+mmN8QPDQuI401AyROMmdCTGv1NS5KO7Lp0alVtU021%20roanhexuNN8P21rdIkcibsIuPlUsSASOCcEZPc5rXrl/+FgeEf8AoP2n/f00f8LA8I/9B+0/7+mq%20MyO+S+tvEB1WLSWWO0hlVsSIftAYgrsHVWJ6kgdAOaq6jpF7rl7qJvNLniiSB4rJYnjUNuwWcnP3%20mIGARjA561op468KOMrr9n/3/wAVFb+PfDc0kiyah9nCNgPOxRX+hzUuSVk2awo1JxlOMbpb+Rc8%20Kafe2VreSaiT511ctNtIAKggDkKSAeOxNa96EaxnEkDToUIaJRkuMcgfWsf/AIS7w1/0HLH/AMCR%20/jUqeJvD0ihl1uxIP/T2v+NU9TJaGJpEkOl2+oQSaTdmzvppHt4fs+13URgspTjHTaOOf1qjHo0u%20oeHvJOnNFJqV+n2iE2pRbOIgbgoI/uqAWHUk11L+JNAWN5f7Xs38sZOy4DNj2AOadb+ItEuYFlTV%20bYKw4ElwEP5E5pXV7F+znyc9tL79LmrFEkEKRRIEjRQqqo4AHQVznjazivtMMJ0+e6uWRhbyRwhw%20j8cE9VDdM8cZ5FaX9t6N/wBBaz/8C1/xp41XSiMrqVqQe4uR/jTepC0OZ8QzjVrKGx/sqdpw5tZr%20kWxlFqAFLsmMnJ6Kfx7UmjaZf2vjN5Xt5JFaWZnmlhGFiKr5e2TGd3GCue3QVvT+I9EtLmKB9RiE%20kx+XZJuGfcjgfjWt5S+rf99GkpJvQqVOcYpyTSe3mSUU1UC9M/ic06mSIehpsP8AqU/3RTj0NNh/%201Kf7ooASL7rf7x/nUlRxfdb/AHj/ADqSgBCwBwSAaWvJvFdtpdj4ma1nj0kuqJJ5+pyXEsshYk8F%20DhQOwNenabZR2FkkMLyNGMsvmSFyM84BPOPShbXB6OxbooppdVIDMATwMnrQBnaxf3en+TNEkLW+%209VkLk5GTjOegHua0s4GapX+nWt5Kj3TuAMAp5hCvg5AI6Hmr1AFS8uJVtJDZmLzwPlM24IPc47Vh%20J4nvZfCE+pwWgublZDHCsMblJxv2h1HXaev4da3dU02HV9NnsblpRDOu1/LcoxHpkVQ/4RqP5E+3%20X3lJCYlAnYEfMCCCMcjGB7UAZUvjC7ij0ryreO4W6vBbXM+1olhO7G3YSW3/AKV1fnp6n8jWavhv%20TxaW9vskKwXIuwxc7mlBJ3Me5JNaU08VuhaaVI1Hd2AH60AZ2um/uNKli0eWKK7fCiSXcAq9yMA8%2046e9Y82lX0ugTaFbxQWdsbdEWRZHc5LnzAWwCcr3x1NX7rxz4bs22y6zZlh2jff/AOg5qifiV4fF%204sQuJDCRk3HlkIPz5/SplJR3NaVGpWbVNXsr6djpYmhhiSKMbURQqqFOAB0FP89PU/kaoaf4j0fV%20Tiw1O0nbrtSUbvy61p1RkYkOvy/8JCNMubQR+ZG8sTpLvbapAy64+XOeOT0qlfeObWzvdShEDyR2%20MCv5oOFkcvt2DjscZNT/APCM3ME+o3Nrq04uL1gxd0TKYIwA2M7QAQB7mo28B6R9onlhWWHzofKK%20pIdqnfv3gHPO7n0o7AaOi6yNV08XDrGjb2QiNy44OOuAR9CAam1O5KadM8V3Hasq7jPJHuWMDqcc%20ds0mk6Umk20kayvNJNK00sr4y7t1OBwPoKl1HTrXVrKSzvoRNbyY3oSQDg57fShgjn11fWpvBxub%20aBpdRkfbBmLazxl8LIVPAO3nFVbnX9QTR7fUra+Bht5/JvEntgGB8za27aeAOny55welbjeFtMdv%20nhZ08rytjSMeN27OSc5z78U8+GdIJtybGP8A0f8A1fJ9c88/NzzznnmjqBo+enqfyNc/4qivdSSC%20ytLVpbKYkXkiOqyeX/cXdj73c+ldJVa41KytBm5vLeEf9NJVX+ZoA47WdN1LV75byzt5LeSFHs4s%20T7RHh1Kyn+8uAcrz+NbunWcyeIdS1G9IO9Y4bU9dsYGW47ZYn8hST+NtAt7mOFtTgYv/ABxtvRfq%20w4FPHjTw4SANc0/n/p4X/GkpJ6J7FzpTglKSsnt5mv56ep/I1xtxd2UXjSa8WKe2SxR3uJvJkLXT%20FPurxgoo5+vTvXRxeJdFn/1Or2D/AO7cIf61bF1aXKFVnglRhggOCDTIOCtzInie9u72Ca4hl89p%20CsDhktygMe1h97PTb2PpW54I8tNOuZ1U26XE3mLaBGUWy4AC8jrxk44yTW5aavYXt1LbWt3DLND9%209EbJWrtJNdCpwlF2krPcpajcxJp1w7Xf2RVjJM5H+rHdueK5q11a/PhO9dL5VuZt7ac946pJ5XAV%20nPTvnp0IzXXTwRXULw3ESSxOMMjqCrD3BqkNC0yNkZbG3RUV1CrGAuGxuyOnOBTJORn1K7uNNt7O%2021C+h1Nr/wCw+YJlkXOAzPnYNwCg4GBzxXcpKioql2YgYyQcmmw2FpBHCkNtAiQ5MQVAAmeuPSrF%20AGN4i1afTNMe7tXtVWIFpDcBufRVA6knA/xqnrXiO+sbLTZYLJ0a5UvcM0Dyi2UJuOQuO/HX1rT1%20fQ7fWvsxuJLhDbSebGYZCmGxgE+uO1VpfDMNyJhcXl8yyvuwtwy/KVClTzyDjP40AVrXxPPceK4t%20N+zILKSzNxHdBsmYgryo7L83eug89PU/kaqJo1nFqFveRxlJbe3NtGFJ2rGSDjH4Cr9MDjNVmtJP%20GtuUimge1xPPd+VITKApxEhxjHdu3TvVBZZrrxguoeTLcRTurQgwOClsYTlg46Hdkbe5NegsAVIb%20GD1zVGPWdM+1vZR3luJoR80YcDaKnRblKEpXcVsYXg9ILa71T7HBNHp7vG0JkjdMHbhl2t3HGT3J%20ro7qeL7JNuiaddhzEqZL8fdA96RtUsUXc97bKPUyqP61H/bWmf8AQRs/+/6/403qSjjrNbg6NqEP%202G6s9Q1neiReT5cdtiMhF9+BgsO5qqmk3J05TNZ6oqQ3IkthFBH524Q7cyLjld2QDjp14rtrnxFp%20FrbvPLqNqVQZO2UMfwA5NTaVq9nrVmLqwl8yInaeMEH0IpXV7X1NFSnye0t7qe/S7E0yWcaZarf7%20Bd+UolEY+UNjnH41eoopvUzWgVHD/qx9T/OpKjh/1Y+p/nQBJRRRQBHB/qV+lSVHB/qV+lY3i6Jv%207CnuDPdrFbxtI8NtKImm46F8ZUd+KTdhpXN2iuC8DQG4uZZYbt4liKs0cWsi/WQEHhgR8v1Fd7VN%20WEFNfdsbYAWxwD0zTqa6CRGRs7WGDg4pAZ+k31zdSXUN4sSzW7hT5eRkEZzg849D3rQZ1X7zAfU1%20WsdNh0/zDEZHeTG55HLMcDAGT6VawD2oAb5sf99fzrOj0XR4tQkvktbcXMn3pOufXjpWngegowPQ%20Umk9yozlFNRdr7lCbTNJuM+dZWUmf78SH+lU38KeGZMl9G0skjGfs6f4Vt4HoKMD0FMk5i78B+GL%20i3dItOtLWQjCywKFZfcVHZ/D3wzb2yx3NpDeSDrLPyx/KurwPQUYHoKnlXNzW1NVXqKl7G/u3vbz%20OdXwR4UQYGjacf8AejB/nU6+E/DKEFdG0oEdD9nT/CtvA9BRgegqjI56+8GeHb5UBsreDYc/6OBH%20n6461fXRNERQo0+wwBgZhQ/0rSwPQUYHoKSik7mkqs5QUJN2Wy7GXJoOhSgCTTNOYD1gT/Cmf8I3%204e/6BOmf+A6f4Vr4HoKMD0FMzOTPw/0A6v8AbPLTyev2TC+Tn/d9ParreDPCrMSdF0zJ9IVFb+B6%20CjA9BUxio7I1q16la3tHeysvQ5xvA3hNjk6NYD6KB/KmnwH4TwcaTZqexXgj6c10uB6CjA9BVGab%20TujkLD4deHbUSfaolvtxyv2gg7B6DFXl8E+FFAA0XTePWJSa6HA9BRgegqYxUVZGlatUrzdSo7tm%20GvhHwwgAXRdK46f6On+FR33g7w7fQiM2NrBg53W6rG35jrXQYHoKMD0FNpSVmTTqTpSU4OzRm22i%206NaRokNlZgKu0ExqTj3PU1OtnpyHK29qp9QiireB6CjA9BTJbbd2V/Isv+edv/3yKy7nwtol3q8e%20oywJ56YOA2FJHQlehrcwPQUYHoKTipbounVnSbdNtX00K/kWX/PO3/75FHkWX/PO3/75FWMD0FGB%206CmZlR7LTpDl7e1Y+pRTWZp3hPQdMuJpoLaJml4IlIcKPQA9K3sD0FGB6Ck4pu7NI1Zwi4RbSe/m%20Z39jaL/0D9P/AO/Kf4VE/h7QJG3PpWmsx7m3T/CtbA9BRgegpmZz+oeD/D1/ZvAtjZ2zN92WCJEd%20T7ECotP8D+HLK0WGaxtLxwcma5iR3P4kdPaulwPQUYHoKnlXNzW1Nfb1PZexv7t728zD/wCES8Mf%209AXSv/AaP/CmHwZ4VYknRdMyfSFa38D0FGB6CqMjkbv4e+H7i8hmgRbSOP70NvhUf6jt+FdYJYx/%20Gv507A9BRgegqVFJtpbm1SvUqRjCcrqO3kIrq33WB+hp1JgDtS1RiIehpsP+pT/dFOPQ02H/AFKf%207ooASL7rf7x/nUlRxfdb/eP86koA891e01yTXJLlbDXIZZFVHbTL2AQuFJ2n5xuzg813GnvdyWat%20fQJBMSf3ayb8Dtk4HPrisDUfEOs2OvSxW2kpqFgwRIniuYo2EnO9TubntxiuoUkqCRgkdPShbA9x%20awPEcaXFxbW/2Zy8nW6ETP5KggnGBwx7Vv0UAcvqrG9vYbu0juJJoQ0UUUltujZg4DZJ+7068fWu%20n5x71SvtSh0zb5sM3lHlpET5Eyccn6ntmr1HQCPMvon5muX8b3PiG3t7X+xI3ILHzTCu5ge3GOnW%20usoqZx5o2vY3w1ZUKqqOKlbo9jkIPD3iPUoI5NV8SXNvvUEwWcSRFPYvgk1NF8PtEVxJdWhv5Qc+%20ZezvMc/8C4FdTRVLQxk+Zt2KNrpdtYrttLGzgHpHGF/kKqS+GdPn1hdUks4jdrghtxxkdCR0zWzR%20ScU9yoVZ07uDavpp2MXUfCukaqP9N0qykbOd4TawP+8Bmsz/AIQy8sPm0HX7+xx0imf7TF+T8/rX%20W0UyDlDd+M9NQmey0vU0UZLwStC+P90ggn6Vl6P8QtW1SWdIPD73Zj52wShSg992ATXf1HHBFCWM%20USIWOW2qBk+9RKMnJNPQ6KVSlGlOM4Xk7Wd9jmB4k8SSf6rwhMv/AF1vYh/LNOGoeM5z8miaZbA9%205b0ufyVf611NFWc5wuv2Xji708gT2GNw/dWO9HI92Y9PpirNn4c8S3NlD/aHia5gbaMxQRIGX23k%20Ek+9djRUKFpcx0SxLlQVCysne9tfvOU/4QG0mwb++1S+buZr6QA/guBVi38C+H7Vt0eiWBY9WdS5%20P4nNdHRVnOcvd+AtIu9Rhu/sqQ+XjMMOFjfHqAK1jolgwIOmaeQeoMK/4VpUVKik20tzWpXqVIxj%20OV1HReRjS+FtHm/1mi6Yf+2Cj+lUpPAHhyRtzaHYBvVVKn9K6aiqMjh7P4Yafb3c0k00ssTZ8uNZ%20GjKf8CU5NXf+Fe6UCDG+ox46bNSmAH4Zrq6KmMIwVom1fEVcRLnqu72OU/4QSBf9Vqusxj21Bz/O%20qWr+B9Sk06RLHXtSnkbGYrq43I4/Liu4opyipJpk0asqNSNSO61OK0vwl4htNPhQeJZ7eRR/qljW%20VE9huGat/wBkeL4v9X4ltJvaXT1H/oJrqqKIrlVkFWo6s3Ulu3c5b7N44T7t/oMnu9vKP5NWNrVx%2048tru1QfZ5cnIaxhbYT6Puz/AIV6FRUzjzK17GmFrqhU53FS8nscr/Z3jOcDzNd022z18myLEf8A%20fTUn/CJ6tcc33irU39RbhIQfyBrq6Ks5zlB8PtLY5uWv7pu5nv5WB/DOKqW/wx0yLVXuJgtxanO2%200kGVH1PfFdtRUyhGVm+htSxFWipRpuykrPzRzqeBvDyNuXQtOz/1zqT/AIQzQv8AoCab/wB+h/hW%209RVGJzlz4G0O4t3iXSrOAsMCSFArr7g4q7oWhQ+HrD7JZDKli7M7ZZj+Va1FTyq/NbU1Veoqfsub%203b3t5kf730T8zUlFFUZBUcP+rH1P86kqOH/Vj6n+dAElFFFAEcH+pX6Vi+MfNk0Ge1W0uZ4rhGSS%20S3jWVouMg+WSN30FbUH+pX6VV1q8ubDR7q6srVru5ijLRwLnMh9OKT2Gtzk/BM11BcyR/Y72VJSq%20tJLpUdgsYAPJwcv24ruqydD106ysm7TNRsWjC5+1weWGJ/u884rWqmShkpUROXYqoU5I7Cua0e9g%20EF3LDcmOG4Oy2jdmdgQp+ZupBbGce1dRUcqx4EkgGI/mBI6cdaQzE8LMVhmhDCdIwn+lLuxKxHP3%20ieR/Wt1mYfdTd+OKr2Wo29+H+zsxKEblZCpGeQcHsatUMCPfJ/zz/wDHqN8n/PP/AMeqSigCPfJ/%20zz/8eo3yf88//HqkooAj3yf88/8Ax6jfJ/zz/wDHqkooAj3yf88//HqN8n/PP/x6pKKAI98n/PP/%20AMeo3yf88/8Ax6pKKAI98n/PP/x6jfJ/zz/8eqSigCPfJ/zz/wDHqN8n/PP/AMeqSigCPfJ/zz/8%20eo3yf88//HqkooAj3yf88/8Ax6jfJ/zz/wDHqkooAj3yf88//HqN8n/PP/x6pKKAI98n/PP/AMeo%203yf88/8Ax6pKKAI98n/PP/x6jfJ/zz/8eqSigCPfJ/zz/wDHqN8n/PP/AMeqSigCPfJ/zz/8eo3y%20f88//HqkooAj3yf88/8Ax6jfJ/zz/wDHqkooAj3yf88//HqN8n/PP/x6pKKAI98n/PP/AMeo3yf8%208/8Ax6pKKAI98n/PP/x6jfJ/zz/8eqSigBqsxzuXb+OadRRQAh6Gmw/6lP8AdFOPQ02H/Up/uigB%20Ivut/vH+dPPIOKZF91v94/zqSgDyY/DvXMMp0vQmYxFBMZ5N4ctnzvu/f6c+1erRKUiRWOWCgE0+%20ii+lge9woorI1q/vbK609bZIvImuEjldzlsHsB/WgB2qaddX15bMkkJtYTvaGQH53zwSR6enrWp1%20GDWNrOoXdneRMgdLBE3TzKitg7gAOT069K2c8Zo6AM8iP+4KPIj/ALgo83/Yf/vmjzf9h/8AvmgA%208iP+4KPIj/uCjzf9h/8Avmjzf9h/++aADyI/7go8iP8AuCjzf9h/++aPN/2H/wC+aADyI/7go8iP%20+4KPN/2H/wC+aPN/2H/75oAPIj/uCjyI/wC4KPN/2H/75o83/Yf/AL5oAPIj/uCjyI/7go83/Yf/%20AL5o83/Yf/vmgA8iP+4KPIj/ALgo83/Yf/vmjzf9h/8AvmgA8iP+4KPIj/uCjzf9h/8Avmjzf9h/%20++aADyI/7go8iP8AuCjzf9h/++aPN/2H/wC+aADyI/7go8iP+4KPN/2H/wC+aPN/2H/75oAPIj/u%20CjyI/wC4KPN/2H/75o83/Yf/AL5oAPIj/uCjyI/7go83/Yf/AL5o83/Yf/vmgA8iP+4KPIj/ALgo%2083/Yf/vmjzf9h/8AvmgA8iP+4KPIj/uCjzf9h/8Avmjzf9h/++aADyI/7go8iP8AuCjzf9h/++aP%20N/2H/wC+aADyI/7go8iP+4KPN/2H/wC+aPN/2H/75oAPIj/uCjyI/wC4KPN/2H/75o83/Yf/AL5o%20APIj/uCjyI/7go83/Yf/AL5o83/Yf/vmgA8mMfwCpKj83/Yf/vmpKACo4f8AVj6n+dSVHD/qx9T/%20ADoAkooooAjg/wBSv0rlfHmmapqIsf7Ns57tYvMZkiuxAUk2jy3zkZwcnFdVB/qV+lSUDTscb4E0%20rU9MnvPtthPYwPFF8kt4LjzJRne45O3PHFdlRRTbuIKbIXEbGMAvg7QTgE0MwRSxzgDPArN0zW11%20Gyu7lreW3W2kdCkn3sKM5I7fSkAmh2d1bJPLqCJ9rnbdJIsm4N6ADAwB0ArTZS38TD6Vn6Lq39r2%20nn7I4+h2ByzLkZ+YYGDWgzqv3mA+poAb5Z/56P8Ap/hR5Z/56P8Ap/hS+an99fzo81P76/nQAnln%20/no/6f4UeWf+ej/p/hS+an99fzo81P76/nQAnln/AJ6P+n+FHln/AJ6P+n+FL5qf31/OjzU/vr+d%20ACeWf+ej/p/hR5Z/56P+n+FL5qf31/OjzU/vr+dACeWf+ej/AKf4UeWf+ej/AKf4Uvmp/fX86PNT%20++v50AJ5Z/56P+n+FHln/no/6f4Uvmp/fX86PNT++v50AJ5Z/wCej/p/hR5Z/wCej/p/hS+an99f%20zo81P76/nQAnln/no/6f4UeWf+ej/p/hS+an99fzo81P76/nQAnln/no/wCn+FHln/no/wCn+FL5%20qf31/OjzU/vr+dACeWf+ej/p/hR5Z/56P+n+FL5qf31/OjzU/vr+dACeWf8Ano/6f4UeWf8Ano/6%20f4Uvmp/fX86PNT++v50AJ5Z/56P+n+FHln/no/6f4Uvmp/fX86PNT++v50AJ5Z/56P8Ap/hR5Z/5%206P8Ap/hS+an99fzo81P76/nQAnln/no/6f4UeWf+ej/p/hS+an99fzo81P76/nQAnln/AJ6P+n+F%20Hln/AJ6P+n+FL5qf31/OjzU/vr+dACeWf+ej/p/hR5Z/56P+n+FL5qf31/OjzU/vr+dACeWf+ej/%20AKf4UeWf+ej/AKf4Uvmp/fX86PNT++v50AJ5Z/56P+n+FHln/no/6f4Uvmp/fX86PNT++v50AKql%20f4mP1p1NV1b7rA/Q06gBD0NNh/1Kf7opx6Gmw/6lP90UAJF91v8AeP8AOpKji+63+8f51JQAUUUU%20AFQ3FrDdeX58YfynEiZ7MOhqaigDLOj6bE0ZuFQsZCU3vjczNuxjPPPatSsXXNLN3faZdRQmSW3u%20VJbdwic5OPyrZNHQBaKjxL/eT/vn/wCvRiX+8n/fP/16AJKKjxL/AHk/75/+vRiX+8n/AHz/APXo%20AkoqPEv95P8Avn/69GJf7yf98/8A16AJKKjxL/eT/vn/AOvRiX+8n/fP/wBegCSio8S/3k/75/8A%20r0Yl/vJ/3z/9egCSio8S/wB5P++f/r0Yl/vJ/wB8/wD16AJKKjxL/eT/AL5/+vRiX+8n/fP/ANeg%20CSio8S/3k/75/wDr0Yl/vJ/3z/8AXoAkoqPEv95P++f/AK9GJf7yf98//XoAkoqPEv8AeT/vn/69%20GJf7yf8AfP8A9egCSio8S/3k/wC+f/r0Yl/vJ/3z/wDXoAkoqPEv95P++f8A69GJf7yf98//AF6A%20JKKjxL/eT/vn/wCvRiX+8n/fP/16AJKKjxL/AHk/75/+vRiX+8n/AHz/APXoAkoqPEv95P8Avn/6%209GJf7yf98/8A16AJKKjxL/eT/vn/AOvRiX+8n/fP/wBegCSio8S/3k/75/8Ar0Yl/vJ/3z/9egCS%20io8S/wB5P++f/r0Yl/vJ/wB8/wD16AJKKjxJ/eX/AL5/+vUlABUcP+rH1P8AOpKjh/1Y+p/nQBJR%20RRQBHB/qV+lSVHB/qV+lSUAFFFFABWYukPA8n2a5kRZrlp5enIK42jj6GtOmvu2Nsxvx8uemaAKd%20hpv2KWaaSd555goaRwBwvAGBxV0gHqBWP4anuprW8W9uPtE0V3JHvC7RgY4A7CtdmYfdTd+NAC7R%206D8qNo9B+VM3yf8APP8A8eFG+T/nn/48KAH7R6D8qNo9B+VM3yf88/8Ax4Ub5P8Ann/48KAH7R6D%208qNo9B+VM3yf88//AB4Ub5P+ef8A48KAH7R6D8qNo9B+VM3yf88//HhRvk/55/8AjwoAftHoPyo2%20j0H5UzfJ/wA8/wDx4Ub5P+ef/jwoAftHoPyo2j0H5UzfJ/zz/wDHhRvk/wCef/jwoAftHoPyo2j0%20H5UzfJ/zz/8AHhRvk/55/wDjwoAftHoPyo2j0H5UzfJ/zz/8eFG+T/nn/wCPCgB+0eg/KjaPQflT%20N8n/ADz/APHhRvk/55/+PCgB+0eg/KjaPQflTN8n/PP/AMeFG+T/AJ5/+PCgB+0eg/KjaPQflTN8%20n/PP/wAeFG+T/nn/AOPCgB+0eg/KjaPQflTN8n/PP/x4Ub5P+ef/AI8KAH7R6D8qNo9B+VM3yf8A%20PP8A8eFG+T/nn/48KAH7R6D8qNo9B+VM3yf88/8Ax4Ub5P8Ann/48KAH7R6D8qNo9B+VM3yf88//%20AB4Ub5P+ef8A48KAH7R6D8qNo9B+VM3yf88//HhRvk/55/8AjwoAftHoPyo2j0H5UzfJ/wA8/wDx%204Ub5P+ef/jwoAftHoPyo2j0H5UzfJ/zz/wDHhRvk/wCef/jwoAeAB0FLTVZj95dv406gBD0NNh/1%20Kf7opx6Gmw/6lP8AdFACRfdb/eP86kqOL7rf7x/nUlABRRRQAVl6lrcenXCxGF5MJ5srAgbE3Bc+%20/J6VqVl6noiajciUzNGGj8qVQoO9NwbHscjrQAX+tx2Wo29kEVpJ13gtIEAGQO/U89K1Kx59Hub6%20Ix3V5+7YkOqxLkpuyoDdRitfHGO1ACb1/vD86N6/3h+dHlp/cX8qPLT+4v5UAG9f7w/Ojev94fnR%205af3F/Kjy0/uL+VABvX+8Pzo3r/eH50eWn9xfyo8tP7i/lQAb1/vD86N6/3h+dHlp/cX8qPLT+4v%205UAG9f7w/Ojev94fnR5af3F/Kjy0/uL+VABvX+8Pzo3r/eH50eWn9xfyo8tP7i/lQAb1/vD86N6/%203h+dHlp/cX8qPLT+4v5UAG9f7w/Ojev94fnR5af3F/Kjy0/uL+VABvX+8Pzo3r/eH50eWn9xfyo8%20tP7i/lQAb1/vD86N6/3h+dHlp/cX8qPLT+4v5UAG9f7w/Ojev94fnR5af3F/Kjy0/uL+VABvX+8P%20zo3r/eH50eWn9xfyo8tP7i/lQAb1/vD86N6/3h+dHlp/cX8qPLT+4v5UAG9f7w/Ojev94fnR5af3%20F/Kjy0/uL+VABvX+8Pzo3r/eH50eWn9xfyo8tP7i/lQAb1/vD86N6/3h+dHlp/cX8qPLT+4v5UAG%209f7w/Ojev94fnR5af3F/Kjy0/uL+VABvX+8Pzo3r/eH50eWn9xfyo8tP7i/lQAb1/vD86dTfLT+4%20v5U6gAqOH/Vj6n+dSVHD/qx9T/OgCSiiigCOD/Ur9KkqOD/Ur9KkoAKKKKAEJwMnpUNveW92jPbz%20xyqpwxRgQDReQtcWU8KHDSRsoPoSMVz+n213aK4ms5F+0RR2uxXXI2oQXyM8HoKAN6zubS5V2spI%20nXdljHjGT9Ks1j+H7W5tI5I3SWK1VUWGKaQO64Hzcjt6VrMGP3WA/DNADqKj2yf89B/3zRtk/wCe%20g/75oAkoqPbJ/wA9B/3zRtk/56D/AL5oAkoqPbJ/z0H/AHzRtk/56D/vmgCSio9sn/PQf980bZP+%20eg/75oAkoqPbJ/z0H/fNG2T/AJ6D/vmgCSio9sn/AD0H/fNG2T/noP8AvmgCSio9sn/PQf8AfNG2%20T/noP++aAJKKj2yf89B/3zRtk/56D/vmgCSio9sn/PQf980bZP8AnoP++aAJKKj2yf8APQf980bZ%20P+eg/wC+aAJKKj2yf89B/wB80bZP+eg/75oAkoqPbJ/z0H/fNG2T/noP++aAJKKj2yf89B/3zRtk%20/wCeg/75oAkoqPbJ/wA9B/3zRtk/56D/AL5oAkoqPbJ/z0H/AHzRtk/56D/vmgCSio9sn/PQf980%20bZP+eg/75oAkoqPbJ/z0H/fNG2T/AJ6D/vmgCSio9sn/AD0H/fNG2T/noP8AvmgCSimqGH3mB/DF%20OoAQ9DTYf9Sn+6KcehpsP+pT/dFACRfdb/eP86kqOL7rf7x/nUlABRRRQAUUUUAc7rup3VrqDLBK%20UWCBZggA/ekyBSDntj0roc8ZxUUtpBPJHJNDHI8ZyjMoJU+1TUdAI/Mb/nk35ije3/PJvzFSVn6x%20rNvotss1yJG3sFVY1yST/Ie9AFze3/PJvzFG9v8Ank35in0tAEe9v+eTfmKN7f8APJvzFSVQuNUF%20tfRW8tvKElcRrNxtLEEgdc9uuKALe9v+eTfmKN7f88m/MVJRQBHvb/nk35ije3/PJvzFOkbZGzbW%20baCdqjk/SqmmamupJKRDLC8T7HV8cHGeoJHegCzvb/nk35ije3/PJvzFSUUAR72/55N+Yo3t/wA8%20m/MVFf30WnWUt1cE+XGuSB1PsPepLW4W6tYp0BCyoHAPUAjNAC72/wCeTfmKN7f88m/MVJRQBHvb%20/nk35ije3/PJvzFUrjWIoNWi05ULzOgc/OqgDOO5578CtGgCPe3/ADyb8xRvb/nk35ipKRmCKWY4%20AGSaAGb2/wCeTfmKN7f88m/MVT0rV4tWWR4Y3WNcbWJUhgfoTj6GtCgCPe3/ADyb8xRvb/nk35ip%20Kgu7hra3aVYjLt5IDBcDucnigB+9v+eTfmKN7f8APJvzFQ6bfDUbCK6WKSJZRuVZMZx2PHrVqgCP%20e3/PJvzFG9v+eTfmKkrN1LW4dMuI4pI5HLLvYrjCrkLn35I4FAF7e3/PJvzFG9v+eTfmKkooAj3t%20/wA8m/MUb2/55N+YqSs3T9ah1GcxxxyJlS8bNjEihtpI/H1oAvb2/wCeTfmKN7f88m/MVJRQBHvb%20/nk35ije3/PJvzFU9U1m30nyBOJGeeQRoqLnqQMn0HNNh1qGbUjaCOQfO0ayHG1nUAso78ZoAvb2%20/wCebfmKkoooAKjh/wBWPqf51JUcP+rH1P8AOgCSiiigCOD/AFK/SpKjg/1K/SpKACiiigAqK5nS%201tpZ5M7IkLtj0AzUtRzwpc28kMgykilWHseKT20BFLStVOpeYrw+TLGEYru3fKwypzWjVDS9KXTR%20IfOeaRwql2AHyqMKOParrIr/AHlB+oqmCFopvkx/3F/KmKIGdkXyy6Y3KMZXPTNICWim+TH/AHF/%20KjyY/wC4v5UAOoqN0giRnkCIijJZsACki+zzxiSHy5EboyEEH8aAJaKb5Mf9xfyo8mP+4v5UAOoq%20CZ7S32+e8MW84XewGT6DNSeTH/cX8qAH0U3yY/7i/lR5Mf8AcX8qAHUVEVgWRUbyw7Z2qcZOOuBT%20/Jj/ALi/lQA6im+TH/cX8qQxRKCWVQBySRQA+ioIHtLpC9u8Mqg4JQhh+lS+TH/cX8qAHUU3yY/7%20i/lUcxtraMyTtFEg/ichR+ZoAmopixxMoZVQg8gjvS+TH/cX8qAHUU3yY/7i/lUDz2Mc4hkmt1lO%20AEZwGOenFAFmim+TH/cX8qPJj/uL+VADqKb5Mf8AcX8qiia1nZ1haGRkOHCkEqfQ+lAE9FN8mP8A%20uL+VHkx/3F/KgB1FQzfZreMyTGKNB1ZyAB+Jp6xwuoZVQqRkEdDQA+im+TH/AHF/KjyY/wC4v5UA%20OoqEtaqXDNEDGNzgkfKPU+lLELeeNZIfLkRujLgg/jQBNRTVRU+6oH0p1ACHoabD/qU/3RTj0NNh%20/wBSn+6KAEi+63+8f51JUcX3W/3j/OpKACiiigAooooAKKKKACqWraf/AGppstp5nl+Zj5sZxgg/%200q7RQAg4FLRRQAVmSaZcS64l888bxRrtjiaM/u/Ug56n1x0rTooAKKKKAGyKzRsqPsYjAbGcH1xV%20LTdOks5LiaeYSzXDBnKJsXgY4GTz61fooAKKKKAKOq6VHq1uI5JJYymSjI2MEgjJHfrU1ha/YbCC%2028xpPKQJvbqcVYooAKKbIxSN2HUAmvPLP4garcaXpMzW9mLi6vhDOoVsLESACOevzDrQtXYOlzsd%20R0hr+6VjNGkOULARDzMqcjD9q1K51PHOjM8waZ0SJJJBIy/LIIzh9vc4PqBntVGPxjcTalPEYlto%20kvLaBBPE28iRCxBAOAfQ9B3oQHYU10EkbI33WBBrnLvxfE+mtc2SSxp5kaxzz27GOVWkCZXB5/HH%20Y4xU7eMtMWSUN54jTzQs3l/JK0Yy6qe5GD9cHFAyxo+if2VI7mUSExrCgVNuEXOM+p561rVzqeN9%20La3klYXKMpiCxPHh5PNGU2845GepGMHNLF430qee0hh+0SS3RYBUjyY9rbW3c9j6Z/KgR0NVNTsj%20qOmz2gkMfnLtLAZwO9W6KAGogjjVFGFUAAe1OoooAKyNW0NtTuopRceXtXbgruK8g7k5+VuMZrXo%20oASloooAKyNN0JbDUZrtnRncFVCJtABbdyMkZ+mK16KACiiigClqun/2lapD5nl7ZUkzjP3WBx+l%20VYND8nVTdGbdEJXmSPbyHcAHJ7jj071r0UAFFFFABUcP+rH1P86kqOH/AFY+p/nQBJRRRQBHB/qV%20+lSVHB/qV+lSUAFFFFABRRRQAUUUUAFYuj6YdP1rVXSJkhnMbK7Nne2DuOevWtqigAooooAq6k5T%20TpmW1N2wXKwAA7z2HNVtAt2t9OPmLIs0kjSSB02/MeuB2HpWnRQAUUUUAY/iOA3ViYUs5J5JFZUd%20Ap2HsDn+E98VqwhlgjEgUOFAbb0zjtT6KACiiigDnpdP1E+Lba9kSKSBd6qysf3abRwRjqTXQ0UU%20AFVtRhNxptzEFdvMjZcRkBjkds8ZqLU9ZsNGFudQuFgFxKIYtwJ3Oeg4FFnrNjqF7eWdrcLJcWbB%20J0AI2E9ByP5UWuGxX0CG4gt5UkSVLdWAt1mA8wKFGd2PfOK1qhurqGxtJrm5cRwwoXkcj7qgZJqO%2001K1vpJEtpd7RhGb5SMBhuXkjnIo3AtVieJLOe6W1eFZnWJ2LpFjccqQDg8dTWol7A99JZq5M8aB%202XaeFOcHPTsanoArack0WnWyXIQTLGocIMAHHOKs0UUAgrKubJ7vxDbPJEDa20ZkDEDBlJwPyGfz%20rVooAKKKKAEPSub8N6fc2l9K09u0SiPZlsYB3k4X+8Oc5PNdLRQAUUUUAZev27z2cTRJI7wzLIFR%20Q3T1UkZHPrUmhWs1lo1tBc/61V+YemTnFaFFABRRRQByl5oUy3Wsm1t2K3CwuCWz5rKxLDk+lbGh%20wSw2s7SRtEJrh5UjYYKqTwCO1adFAPUKKKKAEPQ02H/Up/uinHoabD/qU/3RQAkX3W/3j/OpKji+%2063+8f51JQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUANdQ6Mp6EYrmoP%20AOl24hCS3WIREFBcf8s33A9OpOAfYCunooA5uLwNpcS3UX7029wkieT8oCbzk4YDcTnpknFOi8GW%20aymWa6vJ5WuIbhnkdfmaJdqjgYxjrXRUUAc8vg21FibJry9a0DI0UJkG2La+8BePXjnJxxSP4KsH%20eQNNcmBvOMcG8bIWlBDsvGc8nGSQMmuiooA5ybwPpsyOGaYsVgVWJVthhBCEAjB4JzkEGlm8F2Nx%20FaRTXFy0ds2/b8gDtu3ZOF+Xkfw444roqKL9QCiiigAooooAKKKKACiiigAooooAKKKKACiiigAo%20oooAKjh/1Y+p/nUlRw/6sfU/zoAkooooAjg/1K/SpKjg/wBSv0qSgAooooAKKKKACiiigAooooAK%20KKKACiiigAooooAKKKKACiiigAooooA5jxrot3rKaYlpFv8AJuTI53Abf3bYPP8AtYrm18Na/svr%20gW7RPdyW09xGrqxkALGRBhhnGV7jOOtel0UAecX/AId1qXR0gkguryNrO5jihaVUaGVj8hb5sEBe%20BycVZk0TWFllMtvPNZCW1MlskwBlRYdrBfmGMPgkZGcV31FAHB3ei61JJM1vBcx2pt7VTbm6yzKr%20sZIw2fvbSOe/TNV5PDesXIRTDcLabb1obc3GGhDKvlKxDcncCRycZr0SigLnn0eh+IX1i0muXuch%20LUrKjKfK2r+9ViWHU5zhTnNavg3TNS0281AXkUywSEFJJ5N0jtubPRiCACOcAn04rrKKdwCiiikA%20UUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAIehpsP+pT/dFOPQ02H/AFKf7ooAaokTICqQSTnN%20Lul/uL/31/8AWqSigCPdL/cX/vr/AOtRul/uL/31/wDWqSigCPdL/cX/AL6/+tRul/uL/wB9f/Wq%20SigCPdL/AHF/76/+tRul/uL/AN9f/WqSigCPdL/cX/vr/wCtRul/uL/31/8AWqSigCPdL/cX/vr/%20AOtRul/uL/31/wDWqSigCPdL/cX/AL6/+tRul/uL/wB9f/WqSigCPdL/AHF/76/+tRul/uL/AN9f%20/WqSigCPdL/cX/vr/wCtRul/uL/31/8AWqSigCPdL/cX/vr/AOtRul/uL/31/wDWqSigCPdL/cX/%20AL6/+tRul/uL/wB9f/WqSigCPdL/AHF/76/+tRul/uL/AN9f/WqSigCPdL/cX/vr/wCtRul/uL/3%201/8AWqSigCPdL/cX/vr/AOtRul/uL/31/wDWqSigCPdL/cX/AL6/+tRul/uL/wB9f/WqSigCPdL/%20AHF/76/+tRul/uL/AN9f/WqSigCPdL/cX/vr/wCtRul/uL/31/8AWqSigCPdL/cX/vr/AOtRul/u%20L/31/wDWqSigCPdL/cX/AL6/+tRul/uL/wB9f/WqSigCPdL/AHF/76/+tRul/uL/AN9f/WqSigCP%20dL/cX/vr/wCtRul/uL/31/8AWqSigCPdL/cX/vr/AOtRul/uL/31/wDWqSigCPdL/cX/AL6/+tRu%20l/uL/wB9f/WqSigCPdL/AHF/76/+tSxKVQBsZ56U+igAooooAhjLogUxk49xTt7/APPJvzFSUUAR%2073/55N+Yo3v/AM8m/MVJRQBHvf8A55N+Yo3v/wA8m/MVJRQBHvf/AJ5N+Yo3v/zyb8xUlFAEe9/+%20eTfmKN7/APPJvzFSUUAR73/55N+Yo3v/AM8m/MVJRQBHvf8A55N+Yo3v/wA8m/MVJRQBHvf/AJ5N%20+Yo3v/zyb8xUlFAEe9/+eTfmKN7/APPJvzFSUUAR73/55N+Yo3v/AM8m/MVJRQBHvf8A55N+Yo3v%20/wA8m/MVJRQBHvf/AJ5N+Yo3v/zyb8xUlFAEe9/+eTfmKN7/APPJvzFSUUAR73/55N+Yo3v/AM8m%20/MVJRQBHvf8A55N+Yo3v/wA8m/MVJRQBHvf/AJ5N+Yo3v/zyb8xUlFAEe9/+eTfmKN7/APPJvzFS%20UUAR73/55N+Yo3v/AM8m/MVJRQBHvf8A55N+Yo3v/wA8m/MVJRQBHvf/AJ5N+Yo3v/zyb8xUlFAE%20e9/+eTfmKN7/APPJvzFSUUAR73/55N+Yo3v/AM8m/MVJRQBHvf8A55N+Yo3v/wA8m/MVJRQBHvf/%20AJ5N+Yp0YKxqD1AFOooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACii%20igAooooAKKKKACiisjxRqt7o2gz3mnWJvbiMjEW4AAZ5Y+wHNAGlcXEVrA807iOJBlmboB6mno6y%20IrxsGRhlWU5BHqK47wr4ym1vxZq+iT+RNFaRpLDcxIU8xWA4Kkn+91B5qLwFftBr/iXw9km2066D%202wP/ACzjkydg9gen1oA7iiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoo%20ooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAqvfX1vptnJd3kq%20w28Q3PI3RR6mrFZHiz/kUNY/68pv/QDQBe0/ULXVbKO8sJ0uLaTOyRDkNg4P6in293Bdq5t5UkCO%20UfafusOoPoa8k8NeKdU8JeAfDd48VnNpM8xt3QBvOXLsd27OOx4x6c11GuXzaH8VNDaDiLWIXt7l%20B0YpyjY9RnGfSgDuaKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAo%20oooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArD8X+GY/FugSa%20XLdS2qO6uXj5zg9CO4rcooA5Kw8IxeHfEd94kk1K5mae3WOeMwqd20KMgKM/wjgCpPBmhT2M+rax%20fx+Veavc+cYScmKMZCKf9rByfrjtXU0UAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQA%20UUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABV%20TVLFdT0q7sWcxrcwvEXAyVDAjP61booA420+HNtFYaXp11fS3Om6ZP8AaIYGjClnySN7DqASeMD3%20zUkukyeIPH9nq0kbpYaPE6Qs4IM0zcMQP7qjv3PTpXXUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUU%20UAFFFFABRRRQAUUUUAFFFFAH/9k=" height="269" width="780" overflow="visible"> </image>
            </svg>
          </div>
        </div>
        <div class="fig"><span class="labelfig">FIGURA 2.&nbsp; </span><span class="textfig">Ancho de trabajo real. a) Tractor XTZ 150K 09 y grada Baldan de 24 discos. b) Tractor YTO X 1804 y la grada Baldan de 52 discos.</span></div>
        <p>Los
          valores medios para los dos agregados evaluados (2,58 y 3,3 m) se 
          catalogan de bajos según el ancho constructivos de las gradas, es decir 
          para la grada de 24 discos su ancho constructivo es de 3,1m y la grada 
          de 52 es de 6,85m según los instructivos técnicos de las mismas. En la <span class="tooltip"><a href="#t1">Tabla 1</a></span>,
          se muestran los valores de los coeficientes del ancho de trabajo (𝜀𝛽)
          de los agregados evaluados. Para el caso del conjunto formado por el 
          tractor XTZ 150 K 09 y la grada Baldan de 24 discos el valor de este 
          coeficiente es de 0,83 y para el tractor YTO X 1804 con la grada Baldan 
          de 52 discos es de 0,57. Los valores de este coeficiente para los dos 
          agregados evaluados (0,83 y 0,57) se catalogan de bajos. Quedando por 
          debajo de los valores que han reportado autores e investigadores tales 
          como <span class="tooltip"><a href="#B6">González &amp; Tzucurov (1993)</a><span class="tooltip-content">González, V. R., &amp; Tzucurov, A. (1993). <i>Explotación del parque de maquinaria, Ed</i> (Primera edición). Editorial Félix Varela, La Habana, Cuba</span></span>; <span class="tooltip"><a href="#B7">Gutiérrez et al. (2004)</a><span class="tooltip-content">Gutiérrez,
          R. F., González, A., Serrano, M., &amp; Norman, T. (2004). Evaluación 
          de Explotación-Tecnológica del conjunto Multiarado-Tractor J. D. modelo 
          4235 en la labor de preparación primaria de un Vertisol. <i>Ciencia Ergo Sum</i>, <i>11</i>(2), 171-176</span></span>; <span class="tooltip"><a href="#B11">Infante (2021)</a><span class="tooltip-content">Infante, S. E. (2021). <i>Evaluación
          del rendimiento técnico de agregados agrícolas de última tecnología en 
          la UEB "atención a productores de Bartolomé Masó</i> [Tesis presentada 
          en opción al título académico de máster en Maquinaria Agrícola]. 
          Universidad de Granma, Departamento de Ingeniería Agrícola, Bayamo; 
          Granma, Cuba</span></span>; <span class="tooltip"><a href="#B12">Jróbostov (1977)</a><span class="tooltip-content">Jróbostov, S. N. (1977). <i>Explotación del parque de tractores y máquinas</i>. MIR, Moscú, Rusia, URSS</span></span>.</p>
        <div class="table" id="t1"><span class="labelfig">TABLA 1.&nbsp; </span><span class="textfig">Resultados del coeficiente del ancho constructivo de las maquinarias utilizadas en la evaluación</span></div>
        <div class="contenedor">
          <div class="outer-centrado">
            <div style="max-width: 1160px;" class="inner-centrado">
              <table>
                <colgroup>
                <col span="2">
                <col span="2">
                </colgroup>
                <thead>
                  <tr>
                    <th colspan="2" align="center">Tractor XTZ 150k 09 <br>
                      Grada Baldan de 24 discos </th>
                    <th colspan="2" align="center">Tractor YTO X 1804 <br>
                      Grada Baldan de 52 discos</th>
                  </tr>
                  <tr>
                    <th align="center">Coeficiente de Aprovechamiento del ancho de trabajo
                      <math>
                        <mi>ε</mi>
                        <mi>β</mi>
                      </math>
                    </th>
                    <th align="center">Ancho constructivo (m)</th>
                    <th align="center">Coeficiente de Aprovechamiento del ancho de trabajo
                      <math>
                        <mi>ε</mi>
                        <mi>β</mi>
                      </math>
                    </th>
                    <th align="center">Ancho constructivo (m) </th>
                  </tr>
                </thead>
                <tbody>
                  <tr>
                    <td align="justify">0,83</td>
                    <td align="justify">3,1 m</td>
                    <td align="justify">0,57</td>
                    <td align="justify">6,85 m</td>
                  </tr>
                </tbody>
              </table>
            </div>
          </div>
        </div>
        <div class="clear"></div>
        <p>Las
          causas de estos bajos valores en este indicador para los dos conjuntos,
          es que los operadores solaparon durante la preparación de suelo un pase
          de grada respecto al otro, con una magnitud llego alcanzar el valor de 
          un metro. También incidió en los bajos valores de estos coeficientes la 
          regulación del apero de labranza, lo que evidencia que no se explota de 
          forma racional su frente de labor constructivo. Esto se corrobora con lo
          expuesto por <span class="tooltip"><a href="#B12">Jróbostov (1977)</a><span class="tooltip-content">Jróbostov, S. N. (1977). <i>Explotación del parque de tractores y máquinas</i>. MIR, Moscú, Rusia, URSS</span></span>,
          pues el mismo planteó que en condiciones reales de explotación, el 
          ancho medio de trabajo real siempre será menor que el constructivo y su 
          valor máximo está determinado por la experiencia y habilidad del 
          operador, del enganche, estado técnico y uso correcto del conjunto de 
          máquinas durante el trabajo.</p>
      </article>
      <article class="section"><a id="id0x7b30580"><!-- named anchor --></a>
        <h4>Velocidad de trabajo y su coeficiente de utilización</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <p>En la <span class="tooltip"><a href="#f3">Figura 3</a></span> se aprecian los valores que alcanzó este indicador para los dos aperos 
          de labranza que formaron agregado con el tractor XTZ 150K 09 y tractor 
          YTO X1804. Para el caso de la grada Baldan de 24 discos la velocidad de 
          trabajo osciló de 6,77 a 7,90 km·h<sup>-1</sup> (<span class="tooltip"><a href="#f3">Figura 3a</a></span>) y para la grada Baldan de 52 discos con el tractor YTO X 1804 de 7,49 a 7,74 km·h<sup>-1</sup> (<span class="tooltip"><a href="#f3">Figura 3b</a></span>), con valores promedio de 7,33y 7,6 km·h<sup>-1</sup> respectivamente.</p>
        <div id="f3" class="fig">
          <div class="zoom">
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9jgtP8Eat%20F4f1aL+zr6O5OnfZdsssW2Z9wPyhQMjjIZjnmtHxn4T1C5EVlpeiIbUacY4ntkiDJLnJDFvug+qj%20JPetu5+IcVxrGmWmkwytDc3jW73E0DCORVU5MbZwcEVJb/EWxt9L0+S+8+5ubqEzt9ktjhUDFdxU%20nIGR79KN/wCvUNv6/rsY50C+g1RpLzw2NYF3bWqQySyqPsjRqAwYnleecrnNJceGtTSZ7ybSPt1v%20DrU909iWX9/G6BVcA8HB5wa6u/8AG2mafqIs2S8mYKjSvBbs6QB/ulyOmabc+OtJtdVeycXRWKVY%20JbpYSYIpD0Vn7HkfnT1v/XcOn9djlbHwdeyXuive6Ugsf7QubprNtrpaRuo2IR06joOBW34a0C+t%20PBur6Z5Zs5pp7oWwzwisTsIx0HNaNv420y68QNpESXTSrK0JmEJMXmKMld3/ANauhpbqwXs/68zy%20Sz8K6rcSWsNt4fGkSQ6TPZSXIdMSylQA3ynOCc8nnk+lbfw58N3mk309zdWl7aD7OkBW4kiw7Dkk%20LGOg7MTk5r0CinfW/wDXX/MLaWPMZPBU1xePNPpCPJJ4j+0PIyqS1tjqT/d9v0ptt4f1fRpLC9g0%20eSZLHV7yRbWJkVvJkGFZcnAHtXqFFJaf16f5A9f69f8AM8nt/C+uNaIZdMeORl1Qsm9TtMoGwZzz%20mpbjwnrElle/8S4ygJprtbswAuREmJI+v8+K9TooA8pPhjU7mPWLiLw/9ltpL+1ul00ugFxGinen%20B2gk846V1fgvS7q0utWvpLD+y7W9lRoLDK5j2rhmIX5QWPOBXV0Uf1/X3A9QooooAKKKKACo0/1s%20n4VJUaf62T8KAJKj/wCXgf7v9akqP/l4H+7/AFoAkooooAKKKKACiiigDzS71C+0+317w2l1Ob2e%20/jjspGkJdYpznIPX5cP+VS6X451G41YWEOnSvpayvZrOIpC6lAR5jSH5Tkjp1Ga7K48Oabda9baz%20Nb7r62QpHJuOAOe3Q9TVeLwdo0OsvqcdqRcuzPjzG2B2GCwTOAxHfFLpb+vIbOR8PeJNbl0XStN0%20oW012unm9uJ7+RzuXeyhRjknjqelX7fxtq3iB7ZPD1lZrIbEXs4vHYA5YrsUj3U/MeOlbFx4C0G5%20srO1e1kVLNDHE0czo4QnJUsDkj2NS6j4J0PVFtlns9i20fkoIXaP93/cO0jK+xqm9f68/wDgCOcn%208U3thqmrRWdvE17cX9taQiad2iVni3En0Awfu4zVOy8R6xpTeIDcS2j6g2px26I7yPECYwSI0GWO%20cfdHrXY3Hg3RbqC7hltPku2jdwrldrINqFcfdIA7VVHw90BbR7dbaUK84uC4uH3iQDbuDZyCR155%20pf1+X/BD+vzMXTvHesazZ6Tb2NnZxaleyzo5uN6xKsJ5IH3snI47c1P4Q1uex+Hl9qmoGSeW1lup%20HUyFz8rt8oY9uMCtd/Aegvp8VkLV0hhmaeIpM6sjN97DA5APpmtDTPD+naRpDaZZ24WycvuiYlgd%2033hz25oezBdDgZvFGtafrlvqusi3MQ0aa7S3tJW2NypUMD/EM4z710XgvxTqeuz3EGqae0BSNZY5%20VgkiVgf4cPySPUcGrVh4A0DTpWkhtHYtC9uRLM7jy26pgk8e3ap9A0bRNBu7m00sj7XtVpleYySK%20nRR8xJC9cDpT/r8WI4+z8SeJ7NrsbrC6kudcaxhEpfEfBP8A3yMDH41evfHWqWHiS1sWhsbi3+1R%20WdwYFkYq7AZO77q8nhTk4FdD/wAIboyam+o+Q6ztcC6P71tnmAEbtucdzVePwl4c1a7/ALYt084z%20TLcrJFO3lmRT98AHGeOTSjpa/wDW3/BG+tv63/4BzGg+I9b0qA3E/wBnudLk1mSzYySs1wN0hAIz%20wFHHFWP+E91C41ySweC1ksbiO5WKW38z5TGrHmThWPHO3pnrXRW3gLQbXU1v47R/OWZrjDSuU8wn%20O/aTjPPBxVa5+H+mwQzTaPCsF/iTyHmkkaOIuCGwueAQTwO9Lp8v0H1MXS/FmsTaVaW+j29mTaaX%20He3LXksjFwwOEU9c4U/MTXR3vi+O38Bf8JLHbMytbrMkLHnLYABP1NQR/D7SZdK0221CNpprK2W3%20M0cjR+ao6q2Dyuexra1ODS4tDlt9RWCLTBH5brJhY1ToB7dqqXWwo9DiF+IGupo88k+lxpdx3MEU%20bSwyQxyLIcdG5BHrXSeGdc1HUNR1fTdXitVutPkQb7YtsdXXI4bnIp1v4I0OGwNtHbyNG80dwXeZ%202dmT7mWJzgdh0rUtdJtLLUL2+gjK3F6VM7Fid20YHHbik/6/ADzm18Y6npHhK1Nq8NzdM11M4uPM%20lkKJKwACrzj/AGicDFdnN4pFv4EHiOS2P/Hotx5IbuQOM/U9aqQ+DfC+q2Vu9tH50EXmojxXDYYM%20xLqSD8w3Z4NbL2Omab4eNlciNdMgg8txO2VEYGOSe2KHsx9Tkb3xtrmi2t5Hqlrp73i2H2+2Nuzm%20PbuClHzznnqOKS88eatoK3iazZWUkwsku7YWjsQdzhNrZ5zk9R1ptxovhOTwdq40TVLKOOeMW8l7%20NdGVYhkEJuJOB7CtzRvCPh06RN9kiiu7e/hWOSTzTIroOgUknCg8gDpR/X5/8AXb+u3/AATBTx5r%2039lNv0uJL77bDbRtNDJDHIsmecN8wIIqTV/HWr6Pq0Nq8NhcpFLDBdiBZGId8ZO77qdeAxJNbDeH%20/C+jQraTyJEUkGoEz3LGQ+X0csTkqufpU914K0HVr19RkgZ5LgpKWjmYKzLgq+AcZ4HNPqv6/rqH%20T+v67FOx8Q61qmp3UtvbWI0i3u5LNw8jLPlRguO2M9utYGn63qesaPpWk6XDCJ2tWvpnurmXG1ZS%20oQMDuOSOcnGK7BvBmitrR1U2h+0l/NI8xvLL4xv2Z27vfGahuPAehXNjaWj20ipaKyxNHM6OFY5K%20lgckEnoaS2/r+txmAnjvWdXa3Gi2ljGJNNN6/wBqZjtZXKso29Rxwa2Ljxi8Xw9g8RLaqZp4Y2SE%20t8odyFGT6ZNasfhnS4bhZobYRstp9iUISFEWc7QOn405fD2mjw8uiNbh9PWLyhE5J+X69fxoe39e%20f/AEt/68jgrjxRrXh3W9dudVWGe6jtbVIoLd3MO93YAhTyPcdTj3rq/CXiHUNZsLw6nYtbXFq+0M%20YXiWUYyCFfkelLb+AdBtre7hW1kdbuNY5jLM7lgpypyTnI7H2FaWkaDYaHZyW1jGypKxeRncu7k8%20ZLEknijowOHsPHPie+isGSz0kHUbeaWAlpP3flHkt65HQD861NI8cXeqSQH7NDGkmjf2gRkkiQMV%20x/u8VuWvhLSbNbJYYGUWUUkUP7xjtWT7w685qrP4A0C4t7OCS1k2WcRgi2zOp8snJViD8w9jQ9v6%208/8AgB/X5HC3/iHUNTglvzcSwPcabYTeXDIyqjNcYbaM8ZHFblt4m1GO5fTtLhgN7eavdQo93K7R%20okYBJ6557KOK6IeB9EFuIfsz+WIYrfHmt9yNtyDr2NOuvBei3ls8M1s+Humu96ysrrK33irA5GfQ%20U7r8/wA0H9fgch4e8R60lpFptsIJdVvtSvB5l1KzxQrGcsBjk9cAV2fhXXZNe0uSW5hSG5t53tp1%20Q5QuhwSp9DVc+A9B/stNPW0dII5mnjKTMrxu3Uq4ORn61r6Zplpo9hHZWEKwwR9FHr3JPcn1pAy3%20RRRQAUUUUAMH+ub/AHR/Wn0wf65v90f1p9AEY/17f7o/makqMf69v90fzNSUAFFFFABRRRQAUUUU%20AFFFFABRRRQAUUUUAVtRso9S025spiRHcRNExHUAjFcXF8PtRuWt4tX1eK4tbexlsI1igKOEYABi%20cnLcD24rvaKLBc5Pwd4Nfw1NLNO9g0jRrEn2S0EPA/iY5JLHv2qhffD67ud/l6jBsk1Ca7eCaEvE%206yADDLuGSuOM8e1d3RQ9QWhz2jeGv7I8E/2FPJ9oVYZIy0S7SwYt0BPB5ridG0LXNV1C1tLqO7it%20LHT7izjmurQQ4DqETjcd545IwOK9Xoo3d2C02OJ1fwHdalY6RarqEPlWVr9mlimhMkcnygbwuQNw%20xxnOKij8BalZW9qNN1aCCYacNPuWe3Lq6DOGUZ4bk9c13dFD1/r+u4LQ831D4XXl7Y29odUt2iis%20I7XE1uX8t0/jjG7C57nBNdTr/h2fVtP08Wl0ltfafKk8ErJuTcowQVz0IJ71v0UN3A8+uPhtd3tt%20PJe39pc3z3/21TLa5hJKBCjJnkccc+ldHpeg3OjeFX06yuLeK8ZXImjtwkau3cIOw/pW9RR0sHW5%20wul/D+8XR5tK1jUIZLWVxM0tnG0U8kobdvdyW3fl6Vr+FPCjeG/7R8zULm8F5cNKBK+doPr6se57%208V0dFAHCWngLUrWfTYP7XhfTNMumnt4TBiTDBuGbPON3HFVb/wCGN1daNplkt/abrOExGSS2JZSW%20LB42DBlPPQkjjpXotFAHInwlqtlqclxo+tC3S6jhju2mgEkjGMbQynOASOuQagu/Al3PPeWkeqIm%20i390Lu5gMOZd+QSFfOACVHb1rtaKAOIHgC4/4TRNa+3QJEk3m/uoDHM4x/q3YHay+5GeOtdvRRR0%20sHW4UUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVGn+tk/CpKjT/WyfhQBJUf8Ay8D/AHf61JUf/LwP%2093+tAElFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHP+Or2907whfXGnM6TqFBkjXLRoWAZgPU%20KSa82l1OSyufEd14d1e41ALa2ifbZX3MiFyHO4DoMnnBx+Fe0EAggjIPY0xbeFAQsUagjBAUDI9K%20BnHfD+9vrzRtR+16hHfwRylYJklaXjbyPMZRu57/AIVwVxrt1Y+ENItbLULmzmi057iMLN5SSN5j%20dMAmRuPu8D1r3BI0jQJGiqo7KMCm/Z4cKPKjwoIX5Rx9KGJaI5jxBqupRfDZtQsXJvWtI3Mka5K7%20tu9gPYEmuJu9auYo9aj0fxHf3ltHaWjQXDyZZGaYKxBwM/5HavWLyyjvbGS0ZpIo5F27oXKMv0I6%20Vm6L4U0/Q3nkhNxcTThVeW6lMrFV6Lz0Ap9WwWiR53431a90K6axsda1FZ7G3SVWuLnb5xZiSQAp%20Mh9QcAAVF421R7tdfh1PWLm3njEK2VihxFPGQpLbcfNznntivYHhikbc8aMcYyVB49KGt4XILxIx%20AxkqDx6UkB5Pqnia+TxtCtnqVxEIdQhtZLaWbauwgA4iA5U5PzseuMV03jjUXttd0m1vNUudK0qV%20JWkuYG2FpRjYhbBwOpx3rsjBEzFjEhY4ySozx0pXjSUASIrgHIDDPNHSwI8Oh1fUrPwzosFtqX2G%20ykS6lNw8zQCSUSnAJVSc45245rvvEclxd/C1Tqdw6STQxC6nhgLbVJG5thwcY5OenpXZG3hZAhij%20Kg5AKjANPIDAhgCDwQaHsHW55OviDTrPQrm41X7NqtvZX6rpdwIxAlzIU6sBhSFyctjHHrXR+Hs6%20Z8Ob2bRbu3v7vbPOGtvmiExyxVB6AnAFdibaBkVDDGUXopQYH4U6ONIl2xoqL6KMCh6pguh4m2ox%20vMbqz1y71G5GgXMkrztuMEp2kqOOOf4e341o6p4g1Gy8XWA/tS4eLFqBaQS7HAKjP7thiUEk5IPH%204V6yLaAZxDGM5z8o5z1pTBEXVzGhZeFbaMj6U76r+u/+YdLf10PPdP1dpfFdx/aGu3sGppqDww6W%20q5jkhA+T5MdCOd9UND16/l1TTHXV7y51i5uZI9S01+Y7aMbuQmPl24XB75969S8qPzfM2L5mMbsc%204+tAijWQyLGodurAcn8aSB6nmHw+16/uPF0lnd6ncX4kidmKzb41IbqyMA0R7AV6lTEhjjdnSNFZ%20vvEKAT9afR0QdWFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAMH+ub/AHR/Wn0wf65v90f1p9AEY/17%20f7o/makqMf69v90fzNSUAFFFFABWfqmswaU1usqSu9xIsahFzjJAyT0A5rQqnqenjUreOIyGPZMk%20uQM52tnH6UAQwa3FPqRtBG4G940kOMMy43DHXjNaVZNvoawaobrzi0YkeVI9v3WcANz3HFajKHGG%20GRR0AdRUfkR/3f1NHkR/3f1NAElFR+RH/d/U0eRH/d/U0ASUVH5Ef939TR5Ef939TQBJRUfkR/3f%201NHkR/3f1NAElFR+RH/d/U0eRH/d/U0ASUVH5Ef939TR5Ef939TQBJRUfkR/3f1NHkR/3f1NAElF%20R+RH/d/U0eRH/d/U0ASUVH5Ef939TR5Ef939TQBJRUfkR/3f1NHkR/3f1NAElFR+RH/d/U0eRH/d%20/U0ASUVH5Ef939TR5Ef939TQBJRUfkR/3f1NHkR/3f1NAElFR+RH/d/U0eRH/d/U0ASUVH5Ef939%20TR5Ef939TQBJRUfkR/3f1NHkR/3f1NAElFR+RH/d/U0eRH/d/U0ASUVH5Ef939TR5Ef939TQBJRT%20VUIMKMCnUAFRp/rZPwqSo0/1sn4UASVH/wAvA/3f61JUf/LwP93+tAElFFFABRRRQBkS+JLSK8vb%20dkm/0OHzZH2YB5xhfU1b07UBfxyfu2ilifZJGxBKnAPUcdCKrX2hR391cyyTMFntvs5UDp82d2an%200zTzYJMZJfNmmffI4XaCcADA+goQPyLpIHUijcvqPzpCiscsoJ9xSeUn9xfyoAduX1H50bl9R+dN%208pP7i/lR5Sf3F/KgB25fUfnRuX1H503yk/uL+VHlJ/cX8qAHbl9R+dG5fUfnTfKT+4v5UeUn9xfy%20oAduX1H50bl9R+dN8pP7i/lR5Sf3F/KgB25fUfnRuX1H503yk/uL+VHlJ/cX8qAHbl9R+dG5fUfn%20TfKT+4v5UeUn9xfyoAduX1H50bl9R+dN8pP7i/lR5Sf3F/KgB25fUfnRuX1H503yk/uL+VHlJ/cX%208qAHbl9R+dG5fUfnTfKT+4v5UeUn9xfyoAduX1H50bl9R+dN8pP7i/lR5Sf3F/KgB25fUfnRuX1H%20503yk/uL+VHlJ/cX8qAHbl9R+dG5fUfnTfKT+4v5UeUn9xfyoAduX1H50bl9R+dN8pP7i/lR5Sf3%20F/KgB25fUfnRuX1H503yk/uL+VHlJ/cX8qAHbl9R+dG5fUfnTfKT+4v5UeUn9xfyoAduX1H50bl9%20R+dN8pP7i/lR5Sf3F/KgB25fUfnRuX1H503yk/uL+VHlJ/cX8qAHbl9R+dG5fUfnTfKT+4v5UeUn%209xfyoAcCD0NLSBQv3QB9BS0AMH+ub/dH9afTB/rm/wB0f1p9AEY/17f7o/makqMf69v90fzNSUAF%20FFFABRRRQAUVWt9RtLuaSG3nSSSI4dQenarNABRRRQAUUUh4oAWis+y13TtRvJLW1uVe4jXe0e0g%20hc4zyOmaSHX9LnjupI76Apa5MzbsBAO+fTg80AaNFRW1zFeW0VxbyLJDKodHXoynkEVLQAUUUUAF%20FFcv4i0uPVfEmkW7WuUy0884U52x42pu7ZYj8qAOoorhNXuUvtfstTsi906qsUFnLaNtbEuHYOeF%20YY/T3qx4Sie2168jTddJIJJJ7mS2aJ45DIcRkn7wx0+nvQtQeh2dFFcvplxOfFGqO+pT/wBm2W2J%20lnZNpmb5jg4GAoIHXqaAOoorhrLxPqGr+I9UtrKdIALTdaQ3ELDYQ5Uu3AJzjIGfSt7wbfXOpeEt%20Ou72XzriWPMkmANxyRnAoW1wNrpUEF9a3Tlbe5gmZeojkDEflViuT06A6XPqeqXNk8dxe3gtYRHG%20AUiB2ocemSWP1oA6eK5hnZ1hmjkaM7XCsCVPofSpa43wNpl/ptxMl1BIqrAiSSzRqrNKGbdtYcsm%20CDk55NdlQAUVy+uaZHqfi3Somtf3cStdTThTk7MBE3emTnHfFZmoXK33iWz1SyMl0zrFHDaS2jY2%207zvcOeFI6/h70LoDO7orkvC8cMfiPUm0+K4FlJEhYyq6bJQzZUhvvMeu76CutoAKKxtP1u6u9eu9%20Nkso0W1RWkmjn3gFvuqRtHOBn2qA+IrwX9zY/wBl5uo4fPjQXCncm7b85x8nr34oA6Cis/Q9U/tn%20SYb3yTD5m4bC27GCR1/D2PtTfEF21holzdrcm2FuhkZxGHJA7AH1oegLU0qKw7b+25fC8DS3EKao%206B3YQggZ52hSQM44yTjNZI1/VTpWkap9othbySJDdqITgMX2sSc5HOAAAefanbWwdLnZVleI9Sn0%20jR5r6AwYhG5hNu+b0Ax3JwPxrVqnqWmQarbLBdbjGsqS4U4yVYMM+2QKQGRqniC+0vSdOkuILWG8%20uztk82QiGE7CxBbGe2B71r6TqCatpNrfRqUW4iWQKeoyOlU77QBqM1ybi9u1ilZGWOOTATaCDwcj%20BzzxWla2sVlaRW1ugSGFAiKOwHAo7iJqKKKBhUaf62T8KkqNP9bJ+FAElR/8vA/3f61JUf8Ay8D/%20AHf60ASUUUUAFFFFABRTZJEiRnkZURRksxwBRHIkqK8bq6MMhlOQfxoAdRRRQBDd3K2du0zpK6r/%20AAxIXb8hzVK11+zvdKOoWouJYA5T5YHLEg4Py4z1qfVoLm50i7gsnWO5liZI3Y4CsRgGsmfTdQt9%20H/sTS0iihGnmJLgsQVl4X+WT9aQy0ninSn02C/8AtDJb3E4t4i8bKXcnGACM9Qa2K4/WfBU93Dpy%202F6sK2KxJHC8YKKFYFmHfcQK68dBnk1RJAt/aPcG3W6gM4ODGJBuz9OtP+0wee0HnR+co3GPcNwH%20rj0rnJrXyPE+o61dWJMOn2wFtsjG6RmBaRh6nhVrn7jRNYuL7VPs0MpkuluHE0kahQjqvlhH6hux%20GccVNxnokFxDcx+ZbyxypnG5GDD8xUlc74Otbi1sroS27wwtPmHzYljlZdqglgoA6ggH0AqXxhcy%202WgyT2888VwGVIRCwG+RjtUHIPGSKb0Bam7RXI+JdcufD3hYW8d4Z9U8ko1yU3eWwXcXYAYGccA+%20oqhF4i1I63predLJb3LW8aKqr5bI8ZLs/cPuGR04o6ivod7RRXN+KXuzf6Xa6ffXNtc3k2weXt2K%20i/M7EEHJwMD60DOkorkfEuq3drfwXFvdZ0u2iLXIt7hBKzbwvQgk45yOPrXWg5APrQAtFc741L/2%20RFHbvMl3cTpbwPHKybGc43HaRnAyefSs7xNcrFaWlpa6xFGLFyLlZ7h0eYrHkIWXBycg9fzouB2d%20ISACScAd64ax1KdvFFtNJKZFufKjSxE8nm2g8rcWdc4Iz1JB7c9q7kjIwelAENvfWt2SLa5hmK9R%20HIGx+VNbUrJEdmvLdVRtjEyrhW9Dz19q5rTbd9Nj1C/uLJor3U7w28eyMAxRjKx5/wBnjcfrWNp2%20k6vaeH9Rt47F2maCGBXmgTf52SrspA+ZQDkE+9AHokUsc8YkhkSRG6MhyD+NR3l7b6fbme6lEcQI%20BYjuaZpunwaVp1vZWiBIIECIoHYVDrqXsuh3kemf8fjxFYjuxhjxnPt1ofkC8wXXtNfTVv0vImtG%20baJV5UnOMce9WLG/ttStEurKdJ4HztkQ5Bxwawry2vbTRJtC0W1KMliFhuN4ADE7T+OMtmt2wsot%20OsILS3ULFCgRQPQCmIsUUVyd3ZQSeN3vZbUxwaba/aHlRDmWRsjkj721VPHqaQzrKK4Kye5n8dLe%20eW86zy7ot0bjy7YxAhw/TG7jae5rvaAK81/aW8oimuoI5G6I8gBP4GnyXMMUscck0aSScIrMAW+g%2071h65pbar4i0mOS1V7KEtcTSFAcuuPLUn6knHtWFfQ32reIbfVLW0uGSXyUhSWJWSPZK3mb8528c%20gg88ULoDO5iuYZ3kSKaOR4zh1VgSp9D6U6WaOCJpJpEjjXqznAH41y/hu3MviK+vW06fT1CGCGEw%20bFZA2S7N0ZmPPsPrXRaiWXTblo4BO6xsUiK53sBwMfWk9rgt7D4ru3niaWGeKSNero4IH4037faF%20In+1QbJTtjbzBhz6D1rjp9Lms/BiaJb28o1C8gN1O8aABn3K0gPuckAdOMVWuNLnm8NvbSaNPJcS%20TSmyf7Oisq7gVEuMbN2OSMcDtT6gehUU2Pd5a7wA2BkDpmnUAFFFFADB/rm/3R/Wn0wf65v90f1p%209AEY/wBe3+6P5mpKjH+vb/dH8zT2YKpZiAAMkntQAtFcNFq+o67qBhs/GGiWcjMRDa2iJcuy9fmL%20N1wOwxXR6PHrkEssOsT2d1EqjyriFDG7HvvXJGfpQDNaiiigDn9D0m7stSkluI0VAjqCGyDl93yD%20+EeoPet9gSODg+tLRQBgeLbq9stGU2Uu2SW4ihL5C7FZgCc4OPrg4rFm12d/B9t5OoSi9e4WFsun%20msPMKnD4wAcEByAK7aaGO4iaKaNJI3GGR1yCPcVUbSdOMp32sB3QiHyyo2+WDkDb0xmkBT8LXVxq%20Hh21nuLkyykMrPtAyQxH4njqOD1rW2P/AM9D+QpY444YljiRUjQYVVGAB7CmvdQR/wCsmjX/AHmA%20qrX2FdLc562s9Q05tSvZoTPdX16EAVhlIMhV/IZbHuaytO8H3jWVxbalBC8cVh9jiVmDLMwdmV8d%20hyODXVXGv6XawySyX1vtjUsQJAT+VZ+h+NdL1xZNkn2d4zjZOQpI7EUmrNQe7NIQlOnKtHWMXq+i%20uy7oFjcaf4e060uHCzQW6RuFwQCFAPNV/Fd3ead4ennspMTbkQNgDYGYKWz2wD1rZSWOUZjdXHqp%20zSyRpLG0ciK6MMMrDII9CKcrt6matbQ5C01dT4SvHu9QuhNZmYuVmQysI2x8rADcucDOKqyQasln%20oFnJrF8NTv33SuHXakYG9+NvJAwo+tdadK0+Nkc20CqsRgVdoChCc7cdOoqzIkCss0ixhowQrsBl%20QeuD2pIb2F2P/wA9T+Qo2P8A89T+QrPk1xJXMemwveyDgmPiMfVjx+VNFhqF7zf3hhQ/8sbXj82P%20J/CtfZNfG7f12MPbp6U1zem337ET+INLtNWXSTepHcf3AoCgnnBPQGtJZo3OEu0Y+gKmsM+AtHbV%2001BklZ15MbvuVm9Tnn9a1X0HTHGGsYPwXFZU7a8/yt2OrE8iUPq+rt71+/lZbFwK56S/oKqXOk21%20zbTQTInlTMHlAQDeRg5PvwKiPh2w/wCWSSw/9cpWX+tQXvhxrqymtk1S/RZEK8yAjn8M1o4wtdP8%20DnhKo5JTjZd07289kaEK29yxuYJYZWI8syoFbIH8OR9elSQWq20Kw2+2KJBhURAAPoK5fwz4In0S%202mSXVJ90rA7bc7V4+o61tf8ACP27f625vZD/ALVw39KimlKKc3Z9jbFr2daUKHvRWz2v+ZfbKDLT%20hR7gVia74t07QTCLm4aV5TwsIVio9TV5fDumAgtaq5HdyWP6modQ8JaNqSRrcWUY8s5Up8p+hx1F%20FVLl/dvXzX/BHhJL2y+sx9zrZ6/kixFq9hNEkqanblHUMMuo4NPGo2bHA1K3J9pFp66XYogVbK3C%20qMAeUv8AhSnTLFhg2dv/AN+h/hVr2dtbmEva3fLa3zFWeJ/u3cbfQqarpqFjHfDTY72FbkLkQLjO%20PpStoWmP96xg/wC+cVgn4daf/wAJB/aKzSpFnf8AZ14w3s2c49qzqWVuT5+h0YWMZc/1h2sna2t3%200T00Oq2P/wA9T+Qo2P8A89D+QrO/sJY/+Pe+vofpNuH/AI9mj7Fq0X+p1JJB6TQD+YNa8kXtL8/+%20Ccvtai3g/k1/wCIaDLbQ3v2C9kiuLy6Fw8pUEjlcr06bVxUNp4YnszevHrFz5t3J5rS+XHvDZ45x%20yoHAB4xT9Rl8RRadObWGzlnCHYULA59geprL8J33ihtOkOpWJmO/5GnYRPjvkY6Vk1aah3XyOuEO%20bDyxDdkmlbq79l1/rsdDpWkrpNmYIp3ctI0sjsBl3Y5Y+g5PSprywi1C1e2u8SwPjcjDg4Of6VU+%202av/ANAuL/wJH+FH2jWm6WNqn+9OT/IVr7J9196OT6xHs/uf+QXfh2zv7qSe6DSF41jIyVxtJIII%205ByeopP+EZ0zzLeQW0Ya2AWLAwAAcjI6HB55zzXO+K7DxbeSWbWEkaorcrbOV2t2LE9RXQx6NczQ%20p/aGp3Mj7RvWIiNSe/QZrKFnNxelvx9DqrU3CjCrFpuV9Oqt39S7cXUNou64vEiH+0QKof235xxY%20w3V3/tJHtT/vo4q1b6Jp9q26O2Qv/ff5m/M1erW9NbK/4f195y2rS3aXpr+L/wAjiLK38Wv418+5%20LR2BJLLvDRhOwA/vV2mx/wDnqfyFSUVhGPLfzO+viHW5bpKyS0Vr26vzGqCB8zbj64p1FFUc4VGn%20+tk/CpKjT/WyfhQBJUf/AC8D/d/rUlR/8vA/3f60ASUUVy91qXiS7v5YtMXRrSFHKxtdzGV5h6hU%20I2/mfwoA6iisbSLnXvtTW2tWdpsCblu7SQ7HPoUblevqehrZoAzfEFvLdaRJHDEZGLKdo64DAkgd%20yMdO9J4ft5bbSwk0ZjYyOwDcEgsSCR0BPoOladFADGD5+UqB7ikxL/eT8j/jUlFAEeJf7yfkf8ax%20vE/iRfDNglxNH5zSPsRFGMnrya3arX2n2up25gvoEniJztcZGamSbT5dzahKnGpF1VePVIyNP8X6%20ff2EVybhYfMGSjo2Qe4z3q2PEOntjF/b8+oIrQgt4baBIYI1jijG1UUYAFOMUbZ3Ipz6itYuFlzJ%2039f+Ac1VVHOTptKN9E09umtygNasXH/H/aY92/8Ar1XsfFGmajeS21tfwNLF1BBAP0JPNabWVs33%20reE/VBWFpvgTR9Mv5rqOJ5DJkBJSCqA+gx/Oom1zR5Nuv/AN6Ch7Op7Z+9b3bbX89zeV2cZWSIj2%20/wD10k1v9oVVmSGQKwYB0zgjofrVNvDulk5Foin1Qlf5U3/hHrVTmOW7jP8As3Df41ran3f3f8E5%20Oat/Kvv/AOAWBp0Kz3UxjiL3YCzblyHAGACPoaVdNt0uluVtrUXCpsWURDcF9M+lcp4r8H6pqLWv%209mahMyRn5knmPyn+8DW/BodykEayaxfs6qAxDLgnHPaso2c3F6Jde511YclCFSLvKV7x7f8ADmpi%20X+8n5H/GmNb75kldIWljyEcpyueuD2zVH+xZv+gvqH/fa/8AxNI2iSlGH9rahkjg714P5VpyQ/m/%20M5VUqfyfih8ehWMbIwtLVnjkaVWaIEqzHJIPbmr+Jf7yfkf8a4nwz4O1ew1C7k1HUpVik4HkynMh%20z9456f8A166X+wU/5/r/AP7/ANRStON5aeR04yHsKrhSamu60NErIcZKHHT5arSR29vIzStbI87g%20nfwXYDA6nrVf/hH7c/eub0+v+kNzXP8AiL4fHVrq3ltL6SJUG11mZn79V96KtoxvDVhg4qrVUa75%20I99/wsdeUIfeTEHxjdt5xTWnCffnhX6nH9aox+GtNVFV4DIQAMu7HP61Kvh/S0+7Yw/iuau1Pu/u%20/wCCczdbol97/wAhZ9VtLeNpJr60VUGSS44/Wqlj4q0vUIGlg1CDapwQ4KkfgatXGg6bc2kts9nC%20I5FKkqgBx7Gqug+E9O8PwyJbo0rSNlnmwx9h0rN251b4evc6oKDw8nN/vLq3a3W/UnOvWCjm/tvw%20yaT/AISHT/8An/t/yNaIt4VOVijB9lFL5Uf/ADzX8q1vT7P7/wDgHJav3X3P/M5ufx3pNvqsdi1x%20uZ8Ayqh2IT0BOa1l1qyY4GoWn4tj+tQ3PhbSbvVo9SmtFa5TGDk4JHQkdDWg1lbP9+3hb6oDWVO1%203z/L0OvE8nLD2G9vev38tdiJb+B/u3lq30cf406W5iWCR5p7cRKpLljwB3zzTX0jT3+9ZW//AH7F%20UdR8J6XqFhNbfZkhMgwJIxyp9auXJZ2vc56ftHNKduW+r1269C5Y6hb39sJbG6t5YR8oKdBjt1qz%20vb/npH+X/wBeue0LwLpukWjxTD7ZI7bi7rjHsBmtP/hG9J/58Yv1pU+VxTndP0/4JpiU41ZRoWlD%20o22n91i4Zdv3poh9f/11VOsWSXy2RvrUXLDIizz/ADpB4d0peljD+VYcvw706TxCupCRlhDBzbBf%20lJHv6e1TUsrcmv8Al95eFjGbl9YfLo7Wu7vottjpjcqoy1xAB7n/AOvTftkf/P1bf99D/GoRoOlq%20cixgz/u0v9iab/z4wf8AfArW1Pu/6+Zy3r9l97/yItQ1uy0u1a5uryBY14+X5ifYAGrFhfx6pZx3%20VnPHLDIPlYKaoar4R0nVrI28lusPO4SRAKymruj6TbaJpsdlZhvKTJyxyST1JrF359Ph/E7Yql9X%20Tk37S+3S3+ZaxL/eT8j/AI0Yl/vJ+R/xqSimYjV3Y+Ygn2FOoooAYP8AXN/uj+tPpg/1zf7o/rT6%20AIx/r2/3R/M08jIwelMH+vb/AHR/M1JQBx11f6F4P10QzRWsEUkRmjENs8kyuWO4/Kp2r6fjXTab%20qVtq9hHeWbO0EmdpeNkPBx0YAiuZl8PeKv7bl1K31nTI5Hj8nBsWOUDEqD8/JGTz7102mR3sVhGm%20pzwz3QzvkhjKKeeMAk44oWwPct0UUUAFFcv4bW5TVZxcIWkZWMzlWUo284BPRsjkHtXTsSB8oBPu%20cUALXFat4P1O/wDGUepRagY7X5TkMQ8YHVVHv/Wux3Sf3F/76/8ArUbpP7i/99f/AFqicFO1zow+%20Jnh23DqmvkzP/wCEes2OZWuJT/tzsf61Img6ZGcrZQ59SuT+tXN0n9xf++v/AK1G6T+4v/fX/wBa%20t3WqP7TOFYekvsr7iJtOs3jaNrSAowwR5Y6VU07w1pOlwyR2llEqyHLbhuJ/E1obpP7i/wDfX/1q%20N0n9xf8Avr/61ZvV83U3UnGDpr4Xuuj+RRfw9prnK2wib1iYof0NM/sV4/8Aj31K9j9Azhx+RFaO%206T+4v/fX/wBajdJ/cX/vr/61ae2n3MHhqXSNvTT8jj/FfhLV9Zt7dYNU83y2yY5QEH1yvUituz8N%20wR20K6hNNfSxoAWmclSR/s9PzrV3Sf3F/wC+v/rUbpP7i/8AfX/1qzi3GbmnZs6qlT2lCGHmrxjd%20q+u/m9xyIkaBI1VVHQKMAU6o90n9xf8Avr/61G6T+4v/AH1/9agzJKKj3Sf3F/76/wDrUbpP7i/9%209f8A1qAJKKj3Sf3F/wC+v/rUbpP7i/8AfX/1qAJKKj3Sf3F/76/+tRuk/uL/AN9f/WoAkoqPdJ/c%20X/vr/wCtRuk/uL/31/8AWoAkoqPdJ/cX/vr/AOtRuk/uL/31/wDWoAkoqPdJ/cX/AL6/+tRuk/uL%20/wB9f/WoAkoqPdJ/cX/vr/61G6T+4v8A31/9agCSio90n9xf++v/AK1G6T+4v/fX/wBagCSio90n%209xf++v8A61G6T+4v/fX/ANagCSio90n9xf8Avr/61G6T+4v/AH1/9agCSio90n9xf++v/rUbpP7i%20/wDfX/1qAJKKj3Sf3F/76/8ArUbpP7i/99f/AFqAJKKapYj5gAfY5p1ABUaf62T8KkqNP9bJ+FAE%20lR/8vA/3f61JUf8Ay8D/AHf60ASVxFzo/hXwpr8V3d2mm2qTM86XdxIqskuR8qDrjqfau3ri9V0r%20xNdeJBqENhoUscKPBGLiWQloyQQSNpAPHajqHQ6nTtUstXtRc6ddRXUBJXzImDLkdRmrdZ2iR30e%20nhdStrK3n3H5LMkx47HkDmtGhgFFZuvXc9npTSWv+tZ0QH+7uYDP60uh3L3WnbpXd5EkeNi+M5Vi%20OowD9aANGimM+042sfoKTzR/df8A75NAElFR+aP7r/8AfJo80f3X/wC+TQBJRUfmj+6//fJo80f3%20X/75NAElFR+aP7r/APfJo80f3X/75NAElFR+aP7r/wDfJo80f3X/AO+TQBJRUfmj+6//AHyaPNH9%201/8Avk0ASUVH5o/uv/3yaPNH91/++TQBJRUfmj+6/wD3yaPNH91/++TQBJRUfmj+6/8A3yaPNH91%20/wDvk0ASUVH5o/uv/wB8mjzR/df/AL5NAElFR+aP7r/98mjzR/df/vk0ASUVH5o/uv8A98mjzR/d%20f/vk0ASUVH5o/uv/AN8mjzR/df8A75NAElFR+aP7r/8AfJo80f3X/wC+TQBJRUfmj+6//fJo80f3%20X/75NAElFR+aP7r/APfJo80f3X/75NAElFR+aP7r/wDfJo80f3X/AO+TQBJRUfmj+6//AHyaPNH9%201/8Avk0ASUVH5o/uv/3yaPNH91/++TQBJRTVbcOhH1GKdQAwf65v90f1p9MH+ub/AHR/Wn0ARj/X%20t/uj+ZqSox/r2/3R/M1JQBwfjDWLm38TR2Y1XU7S3FqJAmm2gnfcWIy/ynAwOPoa6fw1MZ9Bt5Dc%203lyTu/e3kPlStyeq4GPyrlvGNxY2fiZZrrVta0y4e2WOI2cYZLn5j8i/Kcvnt711Phrz/wCwrf7V%209u83nP27b52MnG7bx0oWwS3NWiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiii%20gAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACo0/1sn4VJUaf62T%208KAJKj/5eB/u/wBakqP/AJeB/u/1oAkrjfGniK60jVLG2j1ez0m3midzPPAZizAj5doPAwc5rsq4%20nxfLBb+JLSf/AISGDRrlbR8Ge1WRZU3AkZJHIIHHWkNG54U1BtS0UTvqkGqHzGX7RDCYl47bT6Vt%20VieEryW+0QTTXcl4TI22d7T7NvXsQnp6HvW3VMSGSRpNG0cqK6MMMrDIIoihjgiWOFFjjUYCqMAU%20+ikAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFF%20FABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFADB/rm/3R/Wn0wf65v90f1p9AEY/wBe3+6P5mpKjH+v%20b/dH8zUlAHmGp+EZvtkn27wzd6kDKZI5bXV3C9eCUdhtP0zXX+FINStbUw3ViljZov7iJ7lrifJJ%20JLsePwBP1rnrbxV4g1PxLeR6PNoV1axjy0hkumRwwY5yu3duwOR04rsdDi1GHSYV1iaOa+5MjRj5%20RkkgDgdBgZ9qFsD3NCkJxS0UAc/o+uvqevXcPmKLdYg0MeMN94gk/XHSt9mCjJz+AzTBDGJ2mCKJ%20WUKXxyQOg/WpKAI/OX0f/vk0ecvo/wD3yakooAj85fR/++TR5y+j/wDfJqSigCPzl9H/AO+TR5y+%20j/8AfJqSigCPzl9H/wC+TR5y+j/98mpKKAI/OX0f/vk0ecvo/wD3yakooAj85fR/++TR5y+j/wDf%20JqSigCPzl9H/AO+TR5y+j/8AfJqSigCPzl9H/wC+TR5y+j/98mpKKAI/OX0f/vk0ecvo/wD3yako%20oAj85fR/++TR5y+j/wDfJqSigCPzl9H/AO+TR5y+j/8AfJqSigCPzl9H/wC+TR5y+j/98mpKKAI/%20OX0f/vk0ecvo/wD3yakooAj85fR/++TR5y+j/wDfJqSigCPzl9H/AO+TR5y+j/8AfJqSigCPzl9H%20/wC+TR5y+j/98mpKKAI/OX0f/vk0ecvo/wD3yakooAj85fR/++TR5y+j/wDfJqSigBqsGGRn8Rin%20UUUAFRp/rZPwqSo0/wBbJ+FAElR/8vA/3f61JUf/AC8D/d/rQBJXmHiXRpL3ULiPW7bxVNb+eZbf%207C6TxcHIKjbuTHHWvT64248V62/iaa10rRY9QsoEZXaK8jB3hgOc/dxyNpFHUfQueEri/ZGgks9V%20FmoLrdarIvnyEn7uwcgDnr7V01ZmgzapcaeZdat47a5aVysKMG2Jn5QSOCceladNiGSSJDE0kjBU%20QZYnsKh0+/h1Oxiu7fd5Uoyu4YPXHSk1CxTUbUwSSSIpYMTGQCcHOOR0qPRtPfS9NjtZJjMyljuI%20x1JNIC9RTGjRzllBNJ5Ef9wUASUVH5Ef9wUeRH/cFAElFR+RH/cFHkR/3BQBJRUfkR/3BR5Ef9wU%20ASUVH5Ef9wUeRH/cFAElFR+RH/cFHkR/3BQBJRUfkR/3BR5Ef9wUASUVH5Ef9wUeRH/cFAElFR+R%20H/cFHkR/3BQBJRUfkR/3BR5Ef9wUASUVH5Ef9wUeRH/cFAElFR+RH/cFHkR/3BQBJRUfkR/3BR5E%20f9wUASUVH5Ef9wUeRH/cFAElFR+RH/cFHkR/3BQBJRUfkR/3BR5Ef9wUASUVH5Ef9wUeRH/cFAEl%20FR+RH/cFHkR/3BQBJRUfkR/3BR5Ef9wUASUU1UVBhRinUAMH+ub/AHR/Wn0wf65v90f1p9AEY/17%20f7o/makqMf69v90fzNSUAed6v4f1nxhct5mhaTpcSNhbu4zLcEAnlQmMZ9Ce9dnoOlyaLo1vYy3s%20968QIM85yzc5/wDrVo0ULRWB6u4UUUUAFFZtrqU0mrSWM8CIwj81Skm7C5wN3HBPUVoswUZYgD3o%20AWimedH/AH1/Ojzo/wC+v50APopnnR/31/Ojzo/76/nQA+imedH/AH1/Ojzo/wC+v50APopnnR/3%201/Ojzo/76/nQA+imedH/AH1/Ojzo/wC+v50APopnnR/31/Ojzo/76/nQA+imedH/AH1/Ojzo/wC+%20v50APopnnR/31/Ojzo/76/nQA+imedH/AH1/Ojzo/wC+v50APopnnR/31/Ojzo/76/nQA+imedH/%20AH1/Ojzo/wC+v50APopnnR/31/Ojzo/76/nQA+imedH/AH1/Ojzo/wC+v50APopnnR/31/Ojzo/7%206/nQA+imedH/AH1/Ojzo/wC+v50APopnnR/31/Ojzo/76/nQA+imedH/AH1/Ojzo/wC+v50APopn%20nR/31/Ojzo/76/nQA+ikVgwypBHtS0AFRp/rZPwqSo0/1sn4UASVH/y8D/d/rUlR/wDLwP8Ad/rQ%20BJXmuu6U2vaxP/Y3hOWC7jlKtqslwbQEhuWG35n+uK9KooAyPDGn6npmixW+s6h9vuwSTLjGB2X3%20x6nrWvRRQ3cAopCQoJYgAdSaFYMAVIIPQigBaKKKACiiigAooooAKKKKACiiigAooooAKKKKACii%20igAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigBg/wBc3+6P%2060+mD/XN/uj+tPoAjH+vb/dH8zUlRj/Xt/uj+ZqSgAooooAKKKKAM/T9KGnz3Eq3Mspncu/mBc5+%20oGeBwBWhRRQAmB6UYHpS0UAJgelGB6UtFACYHpRgelLRQAmB6UYHpS0UAJgelGB6UtFACYHpRgel%20LRQAmB6UYHpS0UAJgelGB6UtFACYHpRgelLRQAmB6UYHpS0UAJgelGB6UtFACYHpRgelLRQAmB6U%20YHpS0UAJgelGB6UtFACYHpRgelLRQAmB6UYHpS0UAJgelGB6UtFACYHpRgelLRQAUUUUAFRp/rZP%20wqSo0/1sn4UASVH/AMvA/wB3+tSVH/y8D/d/rQBJRRRQAUUUUAUdYdI9LmaS1e7AHECLuLnPAxUX%20h+D7PpKKSSzMzsNhQKSckKDyAOgrTooAY2/Py7ce9J+99E/M1JRQBH+99E/M0fvfRPzNSUUAR/vf%20RPzNH730T8zUlFAEf730T8zR+99E/M1JRQBH+99E/M0fvfRPzNSUUAR/vfRPzNH730T8zUlFAEf7%2030T8zR+99E/M1JRQBH+99E/M0fvfRPzNSUUAR/vfRPzNH730T8zUlFAEf730T8zR+99E/M1JRQBH%20+99E/M0fvfRPzNSUUAR/vfRPzNH730T8zUlFAEf730T8zR+99E/M1JRQBH+99E/M0fvfRPzNSUUA%20R/vfRPzNH730T8zUlFAEf730T8zR+99E/M1JRQBH+99E/M0fvfRPzNSUUAR/vfRPzNH730T8zUlF%20AEf730T8zR+99E/M1JRQA1d2Pmxn2p1FFADB/rm/3R/Wn0wf65v90f1p9AEY/wBe3+6P5mpKjH+v%20b/dH8zUlABRRRQAUUUUAUrPVrW+neGB2LJkglSAwBwSp7gHirtYmkaJNYXivNJG0cMbxxbc5YM+7%20LenpW0yhhg9PrQAtFR+Snv8A99GjyU9/++jQBJRUfkp7/wDfRo8lPf8A76NAElFR+Snv/wB9GjyU%209/8Avo0ASUVH5Ke//fRo8lPf/vo0ASUVH5Ke/wD30aPJT3/76NAElFR+Snv/AN9GjyU9/wDvo0AS%20UVH5Ke//AH0aPJT3/wC+jQBJRUfkp7/99GjyU9/++jQBJRUfkp7/APfRo8lPf/vo0ASUVH5Ke/8A%2030aPJT3/AO+jQBJRUfkp7/8AfRo8lPf/AL6NAElFR+Snv/30aPJT3/76NAElFR+Snv8A99GjyU9/%20++jQBJRUfkp7/wDfRo8lPf8A76NAElFR+Snv/wB9GjyU9/8Avo0ASUVH5Ke//fRo8lPf/vo0ASUV%20H5Ke/wD30aPJT3/76NAElFR+Snv/AN9GjyU9/wDvo0ASUU1VCDA/nTqACo0/1sn4VJUaf62T8KAJ%20Kj/5eB/u/wBakqP/AJeB/u/1oAkooooAKKKKACiqOr3z6fY+bEqtIzpGoboCzAZP50ulXr31ozyq%20okjleJ9vQlTjIoAu0UxpFU4OfyNJ5yep/wC+TQBJRUfnJ6n/AL5NHnJ6n/vk0ASUVH5yep/75NHn%20J6n/AL5NAElFR+cnqf8Avk0ecnqf++TQBJRUfnJ6n/vk0ecnqf8Avk0ASUVH5yep/wC+TR5yep/7%205NAElFR+cnqf++TR5yep/wC+TQBJRUfnJ6n/AL5NHnJ6n/vk0ASUVH5yep/75NHnJ6n/AL5NAElF%20R+cnqf8Avk0ecnqf++TQBJRUfnJ6n/vk0ecnqf8Avk0ASUVH5yep/wC+TR5yep/75NAElFR+cnqf%20++TR5yep/wC+TQBJRUfnJ6n/AL5NHnJ6n/vk0ASUVH5yep/75NHnJ6n/AL5NAElFR+cnqf8Avk0e%20cnqf++TQBJRUfnJ6n/vk0ecnqf8Avk0ASUVH5yep/wC+TR5yep/75NAElFR+cnqf++TR5yep/wC+%20TQBJRTVYOMjP5U6gBg/1zf7o/rT6YP8AXN/uj+tPoAjH+vb/AHR/M1JUY/17f7o/makoAKKKKACi%20iigAooooAKw76OdPFmmSC4mMLrKphHCDC9T6n61uUUAFFFFADJiqwSF2KoFJLDqBWJ4XkSdLqa3k%20b7O7jyoWcsyADG5s8gt1xW9RQAUUUUAZ2uC3bTyt1M0KE8OCwAbtnb2p2hvI+i2hmEgk8sZ8w5b6%20mr9FABRRRQBzd7c3p8WWKtDcJaq7Iu3G2TKZLHnt710lFMlmjgjMk0iRoOrOcAfjQA+oL0sLGfY+%20xvLbDYJ2nHXA5pTd26mIGeIGX/VguPn+nrU1DBGF4XbbbzQqRMkZUC5XdiY7efvE8g9a3aikuIYW%20CyyxoSC2GYDgdT9BT1ZXUMjBlYZBByCKAHVh+KDKLW2CyCOAy/vnOcAbTjOCDjOO9bMcscu7y3V9%20h2ttOcH0PvT6AKekO8mkWryxvG5iXKOSSOO5PNXKKKGCCsI2q3Hi3cquiW0QkchmxI7cAHnGAAT+%20NbtFABRRRQBT1ZnTSLtovM3iJtvlDLA47e9Z3hVmNncAuXRZfkIYsmNoztJ5POc++a3aKACiiigD%20C8Ulktrdt/7sOd0e8pvO04+YdMHn3rS0sztpVqbrPnmJfMz1zjnNW6KACmuGZGCttYjAbGcH1p1F%20AHFJ50NiYry5uZLddQmWaV2IJAU7ckdBux046V1OkNO2j2hus+eYl37uucd6uUUA9wooooAKjT/W%20yfhUlRp/rZPwoAkqP/l4H+7/AFqSo/8Al4H+7/WgCSiiigAooooAgu7SK+tmgnUlGweDggg5BB7E%20Gi0tIrK3EMIO0Ekljkkk5JJ7mp6KAKsGp2lzdSW8MwaWPORg444OD0OO+KtVg6bo1za6mskpTyYD%20MY2DZL+YwPI7YxW9R0AKrX2oWumwCa8nSGMsFBY9SegHrVmsvxBpZ1XTHhjSMzgqY2f+H5gTz24F%20AGpRSDpS0AFVLfU7W6uHghlzImSQVIyAcEjPUZ9Kt1kada3v9rXF3qESb2BSFkkyEjzwMY6nqTQB%20r0UUUAVL3U7XTghu5fLD5wdpPA6k46D3NWgQQCOQazdctbq9szbW8UTrICCzuVMZ7MOOcelaMask%20SKzbmAALep9aAHUUVHcRvLbyRxyGJ2UhXAyVPrQAy3vbe7eZbeVZGgfy5Mfwt6VPWN4f0ifSDdpL%20KkkckgZCq4J+UAk+5xWzQAVWudQt7SWKKVm8yXOxERmJx1OAOnNWaxdc0uW/lje3hjMqoUScysrQ%20kkHcAOD0oA2qKRQQoBOSByfWloAa7rFGzyMFRRkk9AKhs76C/jZ7dywU4OVKkd+hFJqNob7Tri1D%20bDNGyBvTIqnoOn3FhDMJ9qK7ApCrlwgCgHk+pGaANWiiigCnPqlra3UdvMzrJIwRP3bYYnsDjFXK%20z5bGSbXobuQqYIIWCLnkOx5OPoMVoUAFQ3V1DZW7TXD7I1xk4z14HFTVQ1qzlvtNeGDbvLK2G4yA%20QcA9jxwe1AFm2uobyBZrdw8bZ5xjkcEY7GpqoaLZy2OnLDPtD72bCnOASTgnueeT3q/QAVVOp2gv%20vsfnDz+m3BxnGcZ6ZxzirVYU+izza+tyuI7cSrO2JM72VSv3ccH3zj2oA3aKKKAK1xqFraTwQTzo%20ktw22JCeXPsKbbanaXdxJDBMHkjzkYPY4OD3weOKrarpZvL3T7iJI/Mt7hXd2+9sAPAP1NVtI0a5%20sr5XmKeVAkiRsrZL733ZI7YoQM3aa7rGjO7BVUZLE4AFOpksSTxNHKiujDBVhkGgCl/bumixhvPt%20kf2eZ9kb/wB9s4wPXmtCuaPhyZvDkNmUgNzFPvVuyr5m44OOOK6WgBg/1zf7o/rT6YP9c3+6P60+%20gCMf69v90fzNSVGP9e3+6P5mpKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAC%20uT+Jyq/gK/V/us0QP08xa6yorm1gvIGhuoY5omxlJFDKccjg0mrjTszx3/Xa54dRgxbRr2Kwx/tZ%20c4+u1UrQ0Dxr4jur17meSGaOWG5k+yGWLchjB2hUX5xyADu9a9M/sqwMnmfYrff5om3eUM+YBgN9%20cd6INLsLW7lureytorib/WSpEqu/1IGTT1/P8RHkUuo3F5d2N9c61Bqk8ui3k5j8pMW5MeShA6jt%20hueDW3Br99JcLE3iC20aCwsrSSOKSFCtzvUFiQecdgFxiu9j8P6REztHpdkjOGDFYFBbdw2eO/en%20y6Nps8lvJLYWrvbACFmhUmIDptOOPwp3/r7/APMP6/I89/t28huLi0t72HTIrzXZ4ZL4QoPKVUDA%20cjG5jxlqWDxHruoz6Vp0GrhPM1C5szfxwoftMaKCHAIxn3HGa9Cl0nT54JoJrG2khnfzJY2iUq7f%203iMcn3pyaZZRi3EdnbqLXPkBYwPKzwdvp+FJf1+AP+vxPLrjxj4h/s2xskvR5zXd1BJeZiiLiIjb%20y42AnPPHOOKXW/GPiGLTtJuBqEMO6zM04tGidmIYjftb7yYHRSDnNemS6Jpk9s1vNp1pJA0hlMbQ%20qVLnq2MdfelutG02+WFbvT7ScQf6oSQq2z6ZHFAEun3IvNOtrlSSJolfJXbnIz07VYpAAAABgClo%20YIKKKKACiiigAooooAKKKKACiiigAooooAKKKKACo0/1sn4VJUaf62T8KAJKj/5eB/u/1qSo/wDl%204H+7/WgCSiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArlR46hHiDWdMls%203QaZA03nFxiXCglQMcH5hXVV53qfgzV7rXdRu7dYlju76PJLjJtzGFk49fl6UdRm3o/j7Tb7w5Fq%20+psmlpJM8IjnkBO5Tg1o6t4p0nR7aOW6v7dTOhe3UyAedgZ4+vrXB3PgHWVtrSVLfznguLvNvFe+%20QSkr5Vg4B7DkVdk8HatpbW7afYWV6r6V9gkimnOLdsk7lLAll5xjrxQ9tBLc6TR/GNvqcCzzpFaQ%20fYY71mknUlFYngjsBjr3qYeLtOuo7GXTLi2vIbq6FsXWcLsYgnoep46VxyeAtYk0h7Z0gSQaXaQq%20GkyryxSFyhx2PAz71rSaLrWqXGnXVxpNhpzQ6lHPJHBKGfYqFSzMAAx5GAO1N2vp/WodP67HSW/i%20XR7rVJdOt9StpL2LO+FXBYY6/lTLDxZoep3i2ljqtrPcOpZY0fJIHWuQ0vwfrMMml6dcWlnFa6Vd%20PcjUI5cyXOd2F24yCd3JJ7Uun+CNRg0zwzC0EEM1lNO106MMqHVwCD/F94UgOxtPEuj30t1Ha6lb%20SvagmcLIPkA6k+3vT9J1/S9dSR9KvobpYiA/ltnaT0zXAeH/AIfajaRTw3tnETFYy2sckt+8iTlv%20RBjYpxyOua2Ph/4d1jRLq9k1JPJt5ERY4nnWeQEZ/wCWgAO0DgA5oQM7iiiigAooooAKKKKACiii%20gAooooAKKKKACiiigAooooAYP9c3+6P60+mD/XN/uj+tPoAjZG37lYDIxyM0bZf76/8AfP8A9epK%20KAI9sv8AfX/vn/69G2X++v8A3z/9epKKAI9sv99f++f/AK9G2X++v/fP/wBepKKAI9sv99f++f8A%2069G2X++v/fP/ANepKKAI9sv99f8Avn/69G2X++v/AHz/APXqSigCPbL/AH1/75/+vRtl/vr/AN8/%20/XqSigCPbL/fX/vn/wCvRtl/vr/3z/8AXqSigCPbL/fX/vn/AOvRtl/vr/3z/wDXqSigCPbL/fX/%20AL5/+vRtl/vr/wB8/wD16kooAj2y/wB9f++f/r0bZf76/wDfP/16kooAj2y/31/75/8Ar0bZf76/%2098//AF6kooAj2y/31/75/wDr0bZf76/98/8A16kooAj2y/31/wC+f/r0bZf76/8AfP8A9epKKAI9%20sv8AfX/vn/69G2X++v8A3z/9epKKAI9sv99f++f/AK9G2X++v/fP/wBepKKAI9sv99f++f8A69G2%20X++v/fP/ANepKKAI9sv99f8Avn/69G2X++v/AHz/APXqSigCPbL/AH1/75/+vRtl/vr/AN8//XqS%20igCPbL/fX/vn/wCvRtl/vr/3z/8AXqSigCPbL/fX/vn/AOvRtl/vr/3z/wDXqSigCPbL/fX/AL5/%20+vRtl/vr/wB8/wD16kooAj2y/wB9f++f/r0bZf76/wDfP/16kooAj2y/31/75/8Ar0bZf76/98//%20AF6kooAj2y/31/75/wDr0qIVLFiCT6DFPooAKjZW8wMu3pjmpKKAI8y+ifmaMy+ifmakooAjzL6J%20+ZozL6J+ZqSigCPMvon5mjMvon5mpKKAI8y+ifmaMy+ifmakooAjzL6J+ZozL6J+ZqSigCPMvon5%20mjMvon5mpKKAI8y+ifmaMy+ifmakooAjzL6J+ZozL6J+ZqSigCPMvon5mjMvon5mpKKAI8y+ifma%20My+ifmakooAjzL6J+ZozL6J+ZqSigCPMvon5mjMvon5mpKKAI8y+ifmaMy+ifmakooAjzL6J+Zoz%20L6J+ZqSigCPMvon5mjMvon5mpKKAI8y+ifmaMy+ifmakooAjzL6J+ZozL6J+ZqSigCPMvon5mjMv%20on5mpKKAI8y+ifmaMy+ifmakooAjzL6J+ZozL6J+ZqSigCPMvon5mjMvon5mpKKAI8y+ifmaMy+i%20fmakooAjzL6J+ZozL6J+ZqSigBiK29mbHIA4p9FFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRR%20RQAUUUUAFFFFABRRRQAUUUUAFFFFABRRXN+IvE1xo+r2lklt5VvPG7vqEyFoIiAcKcEck8de4xmg%20DfmuYbdoxNKkZkbYm443N6D3qWuK8K6/H8SfCF/Hf2awuHa2lVCSpbAIZc8jqD6gip/hn4guPEHh%20GN71/Mu7SVrWZz1crjDH3II/HNAHXUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQ%20AUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAB%20RRRQAUUUUAFZ669pbasdLF/b/b+f9H3jf0z0+laFeTa2bsfH2z+wJC1x9hwnnMQg+V+Tjn8KAPVJ%207mG1VWuJUiV2CKXbALHoKlrjfDHiT/hMV1rQtcsoY7yycwXMcZLRyKcjK557H9Kb8MNbn1TQbmyv%20JGludKuXtDIxyzqv3SffHH4UAdpRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABR%20RRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFcV4h8Oa1qPxD0TVITB%20PpNkpLQSybQkmGG/Hc8qR/u9q7WigDgfAGhX/gTQ9bOt+QkIne6WZJMhlC8kjt0/WrHwm0afSvBw%20muozHNqE73exuqq2AufwGfxrrb7T7bUo0jvIhLErB/LY/KxHTI6H6GrNABRRRQAUUUUAFFFFABRR%20RQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFF%20ABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVw2oeFdTPxOj8UQJFLbQQLCIBJtkkyrAkZ4GM%20jqea7migDkPCXhqTw/da5rmrPFHdalM08iq2VgjBJALdzzyelUvhPpcttouoapOhQ6tePcxqwwfL%20J+U/jyfoRXZ32n2+pW/2e8j82EkFoyTtbHYjuPY8VYVQqhVAAAwAO1AC0UUUAFFFFABRRRQAUUUU%20AFFFFABRRRQAUUUUAFFFFAH/2Q==" height="270" width="779" overflow="visible"> </image>
            </svg>
          </div>
        </div>
        <div class="fig"><span class="labelfig">FIGURA 3.&nbsp; </span><span class="textfig">Velocidad de trabajo. a) Tractor XTZ 150K 09 y grada Baldan de 24 discos. b) Tractor YTO X 1804 y la grada Baldan de 52 discos.</span></div>
        <p> Este parámetro para los dos conjuntos evaluados se comportó por debajo 
          de las posibilidades reales del tractor que debe ser de 8,62 km·h<sup>-1</sup>. De igual <span class="tooltip"><a href="#B20">Pompa <i>et al.</i> (2021)</a><span class="tooltip-content">Pompa,
          V. A. E., De la Rosa, A. A. A., &amp; Ramos, Z. J. L. (2021). Análisis 
          de la eficiencia de agregados agrícolas de última generación. <i>Revista granmense de desarrollo local redel</i>, <i>5</i>(1), 250-263</span></span>.
          Es válido aclarar que existen referencias bibliográficas que refieren 
          que las velocidades permisibles para las labores de surcado, grada, 
          siembra y cultivo se comportan en un rango de 3,5 a 9 km·h<sup>-1</sup>.</p>
        <p>Según <span class="tooltip"><a href="#B12">Jróbostov (1977)</a><span class="tooltip-content">Jróbostov, S. N. (1977). <i>Explotación del parque de tractores y máquinas</i>. MIR, Moscú, Rusia, URSS</span></span>,
          una de las causa que afecta este parámetro está condicionada por el 
          patinaje de los propulsores del tractor (que es sobre neumáticos y el 
          mismo oscila de 8 a 12%), también se debe a la irregularidad de la 
          frecuencia de rotación del árbol cigüeñal debido a la variación de la 
          carga y además, al cambio de escalón de marcha y al movimiento sinuoso 
          del conjunto.</p>
        <p>En la <span class="tooltip"><a href="#t2">Tabla 2</a></span>, se muestran los coeficientes de la velocidad de trabajo de los agregados objetos de estudio.</p>
        <div class="table" id="t2"><span class="labelfig">TABLA 2.&nbsp; </span><span class="textfig">Coeficientes de aprovechamiento de la velocidad de trabajo</span></div>
        <div class="contenedor">
          <div class="outer-centrado">
            <div style="max-width: 1160px;" class="inner-centrado">
              <table>
                <colgroup>
                <col span="2">
                <col span="2">
                </colgroup>
                <thead>
                  <tr>
                    <th colspan="2" align="center">Tractor XTZ 150k 09 <br>
                      Grada Baldan de 24 discos</th>
                    <th colspan="2" align="center">Tractor YTO X 1804 <br>
                      Grada Baldan de 52 discos</th>
                  </tr>
                  <tr>
                    <th align="center">Coeficiente de aprovechamiento de la velocidad trabajo
                      <math>
                        <mo>(</mo>
                        <mi>ε</mi>
                        <mi>V</mi>
                        <mo>)</mo>
                      </math>
                      . </th>
                    <th align="center">Velocidad teórica (km·h<sup>-1</sup>)</th>
                    <th align="center">Coeficiente de aprovechamiento de la velocidad trabajo
                      <math>
                        <mo>(</mo>
                        <mi>ε</mi>
                        <mi>V</mi>
                        <mo>)</mo>
                      </math>
                    </th>
                    <th align="center">Velocidad teórica (km·h<sup>-1</sup>)</th>
                  </tr>
                </thead>
                <tbody>
                  <tr>
                    <td align="justify">0,85</td>
                    <td align="justify">8,62 km h<sup>-1</sup></td>
                    <td align="justify">0,76</td>
                    <td align="justify">10 km h<sup>-1</sup></td>
                  </tr>
                </tbody>
              </table>
            </div>
          </div>
        </div>
        <div class="clear"></div>
        <p>En
          cuanto a este coeficiente de aprovechamiento de la velocidad de trabajo
          (𝜀𝑉) se obtuvo un valor igual 0,85 para el caso del tractor XTZ 150K 
          09 y la grada Baldan de 24 discos. Magnitud que se encuentra por debajo 
          de la magnitud expresada por <span class="tooltip"><a href="#B12">Jróbostov (1977)</a><span class="tooltip-content">Jróbostov, S. N. (1977). <i>Explotación del parque de tractores y máquinas</i>. MIR, Moscú, Rusia, URSS</span></span>, (<span class="tooltip"><a href="#B1">Companioni, 1990</a><span class="tooltip-content">Companioni, R. (1990). <i>Material para doctorado sobre explotación de la maquinaria agrícola</i> (p. 150). Universidad de Ciego de Ávila (UNICA), Cuba</span></span>) y <span class="tooltip"><a href="#B6">González &amp; Tzucurov, 1993</a><span class="tooltip-content">González, V. R., &amp; Tzucurov, A. (1993). <i>Explotación del parque de maquinaria, Ed</i> (Primera edición). Editorial Félix Varela, La Habana, Cuba</span></span>), que es de 0,88 a 0,92 así como del 0,91 obtenido por <span class="tooltip"><a href="#B10">Herrera et al. (2011)</a><span class="tooltip-content">Herrera, P. M. I., Toledo, A., &amp; García, F. M. P. (2011). Elementos de gestión en el uso del parque de tractores. <i>Revista Ciencias Técnicas Agropecuarias</i>, <i>20</i>(1), 20-24</span></span> por lo que se cataloga de baja. Para el caso del tractor YTO X 1804 y 
          la grada Baldan de 52 discos este coeficiente fue de 0,76; catalogándose
          de bajo también al compáralos con los autores antes referidos y los 
          referidos por <span class="tooltip"><a href="#B20">Pompa et al. (2021)</a><span class="tooltip-content">Pompa,
          V. A. E., De la Rosa, A. A. A., &amp; Ramos, Z. J. L. (2021). Análisis 
          de la eficiencia de agregados agrícolas de última generación. <i>Revista granmense de desarrollo local redel</i>, <i>5</i>(1), 250-263</span></span>.</p>
      </article>
      <article class="section"><a id="id0xfffffffffb773300"><!-- named anchor --></a>
        <h4>Profundidad de trabajo para ambos agregados</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <p>El comportamiento de la profundidad de trabajo para ambos agregados se muestra en la <span class="tooltip"><a href="#f4">Figura 4</a></span>.
          Los valores oscilaron de 0,14 a 0,20 m para el tractor XTZ 150K 09 y la
          grada Baldan de 24 discos y de 0,15 a 0,20 m para el tractor YTO X 1804
          y la grada Baldan de 52 discos. Los valores medios resultantes de las 
          observaciones fueron de 0,17 m para los dos conjuntos.</p>
        <div id="f4" class="fig">
          <div class="zoom">
            <svg xml:space="preserve" enable-background="new 0 0 500 171.154" viewBox="0 0 500 171.154" height="171.154px" width="500px" y="0px" x="0px"  version="1.1">
              <image transform="matrix(0.641 0 0 0.641 0 0)" 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zf6sZwYNP%20sYoWV5InWUu+RtKHnOQMADnNbXhu/wBIv7GV9FhWBFlImi8jyWWTqdy4BBPXmn/X4h/X4Gb4E025%20sLbUZZLN9PtLq6MtpYvjMCYAOQOFyQTgdK6quPXxVrMPiOztr/S4ILG+uZLe3XeTcDaCfMYdNpx+%20GRVnSfF/9seM77SbeFfsdrBvW45zK4ba2O20Hj6g0t7Btc6eiuU8W+PbLw5Dewwkzajbweb5flM0%20ak/dDsOFz2yaWPxtbWy30mpOgSCSGJI7eJ2kLyRhtuMfMeT07UAdVRXPSeONGj0m21DzZmjuXMcU%20SQO0rMPvDZjPHekuvHWiWlnZ3PnyzLeIZIkggeR9g6sVAyAOhzQB0VFc7f8AjzQtPW2Z7mSZLmHz%200a3iaQCPON7YHAz6+ldAjrLGroQysAQR3FADqKKKACiiigAooooAKj/5eP8AgP8AWpKj/wCXj/gP%209aAJKjm/1R+o/nUlRzf6o/UfzoAkooooAKKKKACiiigAooooAKK5rWPHFnpGoz2v2O9ultEV7ya3%20jDJbKeQW59OcDPFVr/4iWVleXcSaff3MNmsck9zBGGjSN1DB85zjB+tAHXUVyd38RtHtNaXTz5rr%20ujSS4XbsjZwCoIJ3HqOQDjNPj8dQzHUTFpWpSR2EjQtIkYYSSBgu1eeeuc9AOtAHU0VyUHxE0650%20n7XFa3b3Buvsa2aKrStLjOBg7enOc4pf+ExjbUbB5vtFjbSW1xNPBc2+GTysZJOeMc9AQfWj+v1A%202PE1lPqXhjUrO0UNcT2zxxqTjLEYHJrG0jwLpuk6OJLfT0TVTZmIuZGfDlMHBJIGT6VBYePY9t9N%20qFvfQr5D3tpHNAsfmwKOdpycnoecdelaGh+NLbW9TWx+w31nLLbi5gNzGFE0fHIwT6jrRb+vv/4I%20X2/rt/wDCXwpqen6J4WlttOtrm60lT59i0iqJGZcFg3TcDzk0ul+D9St7nSLi4t4FxqFxeTwowK2%20yyLwi+uD6d6teMPHjaTbapb6Va3M11YxqZLlYg0MDtyqtz3Hp0zViX4i6XZ6vFptwJS4Mcc042hI%205HAIBGdx6jkAgZo3YNWVv6/rUwdL8MeIoJNCsbjToFtNJvJZDcrcqTKrB8EL1H3qn0vwVqNrp/hW%20NrWGKaxlna7dGXKh1YA5H3uSK6fxB4ri0C9tLQ2N5eXF2kjRR2yhidgBOcketZ1p8SNNvEaRbO+j%20iNlJeQvJGFEyoPnC89R78UdB/wBf195z2n+Etehk0S1l0i0ii0oXEbXcc6lpwyMFbHUZJGc85pY/%20COu2FrbeXpVpfPNoy6fKk0yj7M4zyCc5Bz29K6DXPG6W2kFrGORLufS5NQgZ1BVQoBwwz15FUYPF%20+oPqbQTzqifbbOBNkAbIli3MDyMc9+3pTtfT+uq/UV+v9dGYOq+CfEt1o8FgtnG6LpkMAMdykZWR%20PvK5wS49ADiruv8AhLXZU122s9KtbxNVEMiXMk6q8BRVBTB69OCOOa07vx/Jd6rpcGlWtwlpcaiL%20ZruaIeVOoyGCHOQcjqR61p2Xj2wvdRhgW1vI7W5maC2vpIwIZ5Bn5VOc9jgkc4ovfX+u4bf1/XYT%20xZot/fWekT2NvFdzabcpO1pK4VZgFKkZPAIzkZrk5/BGu3FrLctYLDKNWe9FnbXaxlkaML8smMAg%2056j1rvNd8SQaHNZ25trm8u7tiIre2QM5CjLNyQMAVkxfEW0uY7A2mmajPLfSTRxRIi7wY2w24E8e%20tLf+vT/INl/XmO0vwzcWvw9utIaJYrm4im/dtMZQjPnALHr1596ztB8Oaul+by7022tZk0dLOLdI%20sgEqk88djwa14fHdi/iFdJmtbu3aTeIppkCrJsBLYGd2ODyRg4rMi8fS6l4h0WGxtLq30+8aYmW4%20h4uEVCQyEHPUdOpo3+f/AAQ2Vv66f5HPW3gjxFJFfPc2QSafSJLMA3UZXzNy42qoARSBwPzq+3hf%20xFdrNOmlafYT2+lfYYoxIsiXDZBJIxgDA43dzXUaF42tNc1iXTBaXdpcpF5yLcKAXTOM4BJHUcHB%205rM8YePX0q21SDSbW5lubFF8y6EQaGF2xhW5z0PbpkUf1+f+Y1/X4f5HJXejX2jmRtShaGbU9QsD%20bxvcrM7FHJcfKAOM54GAK3P+EQ1gz/2X9ithbf2r/aH9qiUeZt379u3G7d/Dnpitqf4g6Tb65Fpt%20wjtIrpFJcYXZHKwGFwTu7jkDHNT+O9eu9C0m2bT2KXNzcpCHEBmKryWIQcngdKL218/8v8hb/wBe%20p09FcG+ua3ceGre+0/WdPa2RJZbrUpbbYFKn5Y/KLZB7H6Vt23icW/gi317WYWt2aBZJIkUlizcA%20Ae5Ix9aAOhorzuXx3qD6hqatDPp0Vutpsint1aVWkk2nI3YIIxznit6z8dWV74kl0iG1u2Mcrwtc%20BQYw6jkEA7gO2SMUAdNRXM6f45stQnkIs76KxCSPHfyRfuZAn3iCOR0PUDOKjsfiBYXJY3NnfWMb%20W73Vu9xFgXESjLMmCe2Dg4PNAHVUVz/hfxdb+KVmMFndW4jCsDMFKuD0wykjPt1roKLAFFFFABRR%20RQAUUUUAMk/1T/Q0qfcX6Ukn+qf6GlT7i/SgBqf62T8P5VJUaf62T8P5VJQAUUUUAFFFFABRRRQB%20leJtEHiLw/dab53ktKAUkxnaykMMjuMgVxHijwzrc2iarqepvb3GpSwQ2sMNhExUIsqsWIPJOecd%20ABXplFA7nn9/4C1PxBDqE+sXln9snhiigEEbCMLG24bweeT1A6dqksPAN1bQWZI0y3mj1KO8lS1R%20wmxFI2gtkk85ya7yigR5/rHgPVtU8RvfPeWcsC3kV1B5xk3xKpGYwAdoHHXGTWjp/hrXNMvJ7W2v%20rEaPLcy3PzRMZyXySn90DJ+91xXX0UdLAcDZ+Ctc0aCwl0q8083kdh9guBcK5jK7iwZcc5Geh4NW%20tM8CTaTcEQXUbwDSP7PUuCGL7mYsR0A56V2lFD1/r1/zD+v6+45ObwfPP8O7Xw+1zGl1bxRBZlBK%20eYhBHHUjIrIvvAWs65/as+sXen/abyO3EawK/lhomJw2eSpz9efavQ6KHq7h0sc14S8MyaBp92k0%20djFPdPuZbNGEajGAMsST9TWbpXge9sItCWS5t2OnW1zDJt3fM0vQjjt3rt6KHqC0PPbbwLremQaa%20dOvdP8+HTW0+4MyuV2liwZMd+e9MX4c6iNMFt9rtdw0+2tM/NjdHNvJ6dCOBXotFO+t/66/5h/X9%20fccNL4K1WC6Ooafd2YvotUnvYVmVjG0cihSrY5BwOoqK18Ea1ZRwXsN7YNq1vfz3S70byXWUAMpA%205B44xXfUUloH9f195h+GdAk0XTblLyZZru8nkubhoxtTe/UKPQVwGi2WqNrWiaPHFO9jpV3LIskl%20jJCVQqw+dm+UnLY+Xr1r1uijqHQ4SXwTqq+E9G0q3vLUtZOxuInMixXCnPBK4bjOcd6i07wJrGiW%202lSabd6eL2x+0RkSo/lPFK27jHIYcf416BRQB5q/w51ltGsrBtQspYo450njkEgjLSOWEgCkZIz0%20PFdBdeEp7rwBa6F9oiju7aOLZKoJTzIyCOOuCRXVUUAeeX3gHWNb/tafVrvTzc3gt2jWFX8sNESd%20rZ5KnPXrXQ+DvDb+HbG4WaOxjnuJfMZLNGEajGAMsST9TXRUUAcPaeGPEf8Awkt3qN/caXMt1uiE%20wMnnW0J6LFxtB7k9zT/D/gK58P8AiSG8j1m5nsobQW6RSBdx+YnacKBtGc+ua7WihaA9ThvEPgzW%20b261saTe2MdrrUSrcLcoxdGVdvykcYI9elR3/gK9urTU4xLYSG6nglRJ1YriOMIQSMFT3BWu9oo6%20WHc4Kz8Ea1pthpU1rqNtLqenyzMi3Jd4RHIMbA33uABg1buPDXiGO9tdVs7/AE+TVBata3PnwssT%20KW3AoF5BB9etdlRRuI821T4Y3j6dptrp91aFrSAxm4mDxyo5YsXRkPTJPynivQrOB7ayggklaZ44%201RpG6uQMZP1qeigAooooAKKKKACiiigAqP8A5eP+A/1qSo/+Xj/gP9aAJKjm/wBUfqP51JUc3+qP%201H86AJKKKKACiiigAopu9d5TcNwGcZ5oSRJM7HVsdcHNADqKKKAOT1jwVPf6jfzWOrPZW+qIsd/C%20IQ5kAG3KsT8pK8d6xz4K1K71vXbW3vJdN0m4SCDAiVxPEsYUhSTlTxjPvXolFAXOLk+HMK68b21u%2044rWR45JYXtEkfKADCyNyoOBkYqa68CtcaBfacmomNrm/a+D+VlRlt2xlz8y+vPNddRQBw9t8OpL%20OzYW+qLFepffboJ0tVVY32bWXywcFSM8cVck8EyX0sEmr6rLesttcW85MYTeJcZ24+6Bjgc11lFH%209foBxI8AXNxbyR6nrTXbR2UljZt9nCeSjjBZgD8zYA9K1rPwv9l1vTdQ+1bvsWnmy2bMb+Qd2c8d%20OldBRR5/1/Wof1/X3HGa74CudTuNV+w6y9la6sq/aofIEm51GAQcjAIAyKR/h4n/AAkDX8V7GkEs%20kc00TWiO7MoA+WRslVOBkV2lFC0B6mNqXh/+0PEGn6n9o8v7HFNH5ezO/wAwAZznjGKxrb4epFb6%20bBLfF47PT57FsR4Mgl6t14x+NdlRRb+v69R3OCX4c3ssWy+177QE06TTosWoTYjAAHhuSMfj7VeH%20gPF8Lj7f0u7a52+V/wA8Y9m3r3657V19FO/9fiI4m3+H1zbXdki607aZY3pu7e0a3GVzklS+cn7x%20xxUtj4Cktbq0il1WSbSLG4Nza2ZhAKPkkbnzlgCxwMV2NFJaA9TkPHFjem60zU9JgvXvrRnVXtkj%20kwjD5gyuwznHB7VV8H+ELy1h0m/1GRobi2a6doGAZj5zZG4g4BGOcV3NFC0B6nC2Hw1NnrMN7Lqa%20zpFNM4VrZRI6yAghpM5JGePT0p1n8Pbu3m09Jtells9OWWO1iEAVkR0K/fB5Izwcdq7iijyA43wt%204Bfw5q0V8+oR3DR2rW21bVYyw3AhiQSS3HJPWm654BudTn1UWWtPZ2mq7WuYPID5dQBkNkYBAGRX%20aUUAcY3w9QeIm1CK8iW3lmSeaJrRHkLqAMLI2SqnAyK3df0e51WG3aw1GSwu7aXzI5VXep4wQyZA%20YEGtaigDhLr4dXUlhY2tvrQVIJ3upxNaiRLmdjncy7gMDsOa39T8PSa34WbStSvS9wyqTdRRhMOp%203KwXOOCBxW5RQHmcRJ4AvbyS8n1LXPtNzdC2DOLYIF8l94AAPepG+H3meL01qbUQypMZlQW6rKcj%207jSA/MnPQjPvXZ0UAclp3gm4soX06XWppdEEcscdkIVU7Xzwz9Wxk46Uyw8DXMUsLahrUt0tlbPb%20WO2BYzArDbuJ53NgAcjHtXYUUAcl4R8Df8IxqN1eyXqTyzxiMrDbiBODncVBILH1GK62iigAoooo%20AKKKKACiiigBkn+qf6GlT7i/Skk/1T/Q0qfcX6UANT/Wyfh/KpKjT/Wyfh/KpKACiiigBko3RON5%20TIPzjqvvXKp/aV1bTGwu5GtDcL5Uk8xDyIqnftYDOCRx+NdXJGk0bRyKGRwVYHuKoroWmrb+QLOI%20RZBCY4GOmPSkBJpN0t7pNtcIHCyRggO2W/E96ss5U42MfcUqIsaKiKFVRgADAAp1NgiPzD/zzf8A%20SjzD/wA83/SpKKAI/MP/ADzf9KPMP/PN/wBKkooAj8w/883/AEo8w/8APN/0qSigCPzD/wA83/Sj%20zD/zzf8ASpKKAI/MP/PN/wBKPMP/ADzf9KiudQtLOWOO5uYonlOEV2ALUsV/az3UltFcRvPF9+NW%20BK/UUASeYf8Anm/6UeYf+eb/AKVJRQBH5h/55v8ApR5h/wCeb/pUlFAEfmH/AJ5v+lHmH/nm/wCl%20SUUAR+Yf+eb/AKUeYf8Anm/6VJRQBH5h/wCeb/pR5h/55v8ApUlFAEfmH/nm/wClHmH/AJ5v+lSU%20UAR+Yf8Anm/6UeYf+eb/AKVJRQBH5h/55v8ApR5h/wCeb/pUlFAEfmH/AJ5v+lHmH/nm/wClSUUA%20R+Yf+eb/AKUeYf8Anm/6VJRQBH5h/wCeb/pR5h/55v8ApUlFAEfmH/nm/wClHmH/AJ5v+lSUUAR+%20Yf8Anm/6UeYf+eb/AKVJRQBH5h/55v8ApR5h/wCeb/pUlFACA5GcY+tM/wCXj/gP9akqP/l4/wCA%20/wBaAJKjm/1R+o/nUlRzf6o/UfzoAkooooAKKKKAOVvDZ3PiN47d0tpLdXaaYKd8rsmAoHVgByfw%20q14VCxR3Nvbss1pDsEVwIwhkO35s4AyQf51v0tC0BiNux8uM+9M/e+ifmakooAj/AHvon5mj976J%20+ZqSigCP976J+Zo/e+ifmakpCcDJ6CgBn730T8zR+99E/M1njxFpxjkfzmGwqNpjYM244XaMZbJB%20xir9tcxXlsk9u4eKQZVhQAv730T8zR+99E/M1JRQBH+99E/M0fvfRPzNSUUAR/vfRPzNH730T8zU%20lFAEf730T8zR+99E/M1JRQBH+99E/M0fvfRPzNSUUAR/vfRPzNH730T8zUlFAEf730T8zR+99E/M%201JRQBH+99E/M0fvfRPzNSUUAR/vfRPzNH730T8zUlFAEf730T8zR+99E/M1JRQBH+99E/M0fvfRP%20zNSUUAR/vfRPzNH730T8zUlFAEf730T8zR+99E/M1JRQBH+99E/M0fvfRPzNSUUAR/vfRPzNH730%20T8zUlFAEf730T8zSr5mfmC49jT6KAGSf6p/oaVPuL9KST/VP9DSp9xfpQA1P9bJ+H8qkqNP9bJ+H%208qkoAKKzdV8RaToe3+1NRtrUv90SyAE/hU2m6vYaxb+fpt5BdRf3onDY+vpQBcopkm8xt5RUPg7S%20w4z71zX9tah572aTQyMZ/KS6EWFyELMNuecEYznvRcDqKKp6VenUdKtrtlCtLGGIHY96tF1U4LAH%203NAEN/cvZ2Ms8UD3EiLlYkIBY/U9K5t/GUqafY3T28MYmtvtMgdzyNwBRD3bnNdQ7RujKXXDDB5r%20JPh3T2s7S0M0pt7ZdgjMgw4zn5v8Rg0AbKkMoI6EZpaZ5kY/jX86PNT++v50APopnmp/fX86PNT+%20+v50APopnmp/fX86PNT++v50AYviGC6vJre1js3ktJObmaPZu2gghBkjgnqfQVW0jSLy21hGmi2R%20W7XDeZuBEvmMCuO/AHOa27/U7XTbGW7upQsMQyxHJ/AVW0XxFYa9ameykOFbayuMMpqJVIQfvOxo%20qNSVN1FF8q69LmpRTPMT++v50ean99fzqzMfRVG51mwtL62s5rlBc3RIijHJbAyT7Cm22t2l1fSW%20a+ak8ab2WSMr8ucA5PFAGhRTPNT++v50ean99fzoAfRTPNT++v50ean99fzoAfRTPNT++v50ean9%209fzoAfRXD3F5fW7a9FPqUkrLPbhGU7FRWxlQR90Y4LfjXQeGbsz6LG005kZXddzNngMQMN/EMd+9%20APQ2KQnAJwTj0pvmp/fX86PNT++v50Ac0viq6e2uXeyS2kjvVtVE78ICAQzkdOvT3Fbej6iNV0uC%208VdvmA5AORkHBx7cVXfRrNluwlxLGbqYTSMkgzuAA4yMY46HNXLOC2sLSO2tyqxRjCjdQD3LNFM8%201P76/nTZbmCGJ5ZZY0jQbmZmAAFAEtFY7eKNNGlx6iskslm4JEscTMAAcc8cc1qJPG6KwYAMMjPB%20oAkopnmp/fX86yfFEk//AAjt61le/ZpUiZ/MQAtgAnA9D70PQaV3Y2aK4ifUrgatpxF5KAIrbK7+%20u4ndhf489z/DXaean99fzoEPopnmp/fX86PNT++v50APopnmp/fX86PNT++v50APqP8A5eP+A/1p%204ORkdKZ/y8f8B/rQBJUc3+qP1H86kqOb/VH6j+dAElFFFABRVX+07EXP2b7Zbefnb5Xmruz6Yzmr%20VABRWBqmrXmmX/34p4zHJIYVQgxoq5DFs+vH41Y0PULi7e4guyjyRCNw6LtBDruxj25oWoGvRSMw%20UZY4FM8+P+9+lAElFcPc3t7bv4gjm1GWRlkt9jKNixq3VRj7oxwW/Gt7wzeGbRlM0zSMsjqGYluA%20xwA38Qx/F3oB6G1SHODgZPYUzz4/736UG4iHVwPrSbsrsDmBouqTs15dRQm/W5ScYmJRkUnEY4+U%20AHrzk1uaJYPpukw20rAyLuZsdMkkkD86yNa8dafourQ2MscshcAu6dEB6fWuhFzERneMe9Y/WqC3%20mvvN6mGq04xnOLSlt5ktNdtkbNtZtoJwo5P0pguYj0cH6Uvnx/3v0rZSUldMwOaTxZdSWBlezitZ%20jeva4nk+WMKM5Yjuen1Nb2l3y6nplveIpVZ4w+09s1SfRbJreeFZ7iMT3DXDlW5LHqORjHtV+1W2%20s7WK3g+SKJQqrzwBTB7lmio/Pj/vfpSPcwxozvIFVRkseABQBLRWbJ4h0uKCOd72IQyruSTnaR0z%20npV4TxkAhuD7UASUVH58f979Kz9eklfRbv7Hdm2lEbMJVTJAAycZ7+9DdhpXZqUVwM2rXA/shvts%204b7Jbu3zkFmZgGIH/LQkcEdutd158f8Ae/SnYRJRUfnx/wB79KPPj/vfpSAkoqPz4/736UefH/e/%20SgCSio/Pj/vfpR58f979KAJKKj8+P+9+lHnx/wB79KAJKKj8+P8AvfpWB4huLmPU9HkgvXjt2u1j%20khRceZkHqfTjpQB0dFcf4f1KWXxFcLLdyyI4lJRmJxh8DK/8s8DgDuOa6zz4/wC9+lHS4dSSio/P%20j/vfpUEmqWcVwIHuIxMUMgjz820dTj0oAt0VStNYsb9pFtblZGjxvAByuemas+fH/e/SgCSio/Pj%20/vfpXKajeXlr4g1LOoTGI6a8sMccfERDYBA7n3oHY6+iuc8JXrS2lystw0oSUBT5hlABUHh/4ucn%202ziugWVGOFOTQxBJ/qn+hpU+4v0pJP8AVP8AQ0qfcX6UANT/AFsn4fyqSo0/1sn4fyqSgDjvHAlt%20Gs5NOSdLm7m2TPZW0ck8iqpIAL8YHv8AhWr4Vtdulx3NxDcreuCjyXcMcc7KGOAwTjHpVDxb4c1D%20XWURppd7bqwZIL4SJ5TYIJDxnJz6EVd8LaPe6NYrb3JsoYVXCWtorlEJJJO9yWOc+1C6g+htyx+b%20E8ZZlDAjKnBH0NZcfhu1jsY7UTXJSI5iYuN0fBBwcd8nOa16KAI7eCO1t44IV2xxqFUegFPKg9QK%20WigBu1f7o/KuL0rxdqF740m0qewSO2VmUfKdyY6En3/rXbUxokfOVGT1OOayqxm1eD1X4nTQq06c%20ZqcOa6svLzF2r/dH5UbV/uj8qYjlG8uQ8/wt61LRSqqrG60fVdmc7Vhu1f7o/Kjav90flVTVdXs9%20Fsmur+YRRAgDuWJ7AdzSzara295aWskhE93nylA6gDJJ9K1EWtq/3R+VI2xFLMAAPan1CP38mf8A%20lmp49zWFeq4JRhrJ7f5vyX/A6jSK15psGrWckF7HuhlGNnTHv9aj0bQLDQrNraxiIRm3MXO4sfc1%20p0UU8PCC11b3b6mnt6nI6afu9uhAYPL5ix/unpTkZHyNoDDqpFS0x4w+D0YdCOorP2MqOtDb+Xp8%20u35fmRe+5mappBvNR025hWJTbT+ZISPmZdrDA/E1JpemvaT389wUeW6nLgjnCAAKv4AfrUet62vh%20/S5Ly6jaRUIC7P4ieg9qPDniCDxHpgu4Y2iIYo0bHJBHv361rTxEJ6bPs9P6+Rq8NV9l7a3u3tfz%20NTav90flRtX+6Pyp1FbGBz134gls9ZuraWxC2sFm9yspYbpSpGQB2HPerWganJqkEpuEhWWNlyiI%20ylQVBGQ31696tz6Va3N6bqZC0hga3IJ+UoxyRik07SoNLWQQmR2kILvI25jgYAz6AcUIGW9q/wB0%20flRtX+6PyoeRUHzMBTPMd/8AVpgercVhUxFOD5b3fZav+vUaTYkht4yFlMSmQ4AbA3e3vTj5USgf%20IoHQVyPizwXeeIdStbmG/WNY12srZ+XnOVx3rrYbdIY1XG4qANx6mp568/hil6/5L/M6atKjCnCU%20Z3b3VthPNQ/dQt9Foy56QD8SKmopexrP4qn3JL87nPddjifEfi3UtI8SWthb6ejxPtJypJlyf4T2%20xXYCWPOHXYf9oVIVUkEqCR0JHSlIBGCMim6VZfDP71/lb+uh0Vq1KcIRjDlaWrvuIFU9AKSSGOVC%20kkaMp6qy5Bpph28xMUPp2o8yRPvpn3Xml9YcNK0bea1X+a+aRz27GBbeHLhNK02ymeEpb3RmnAzh%20xuZlA49SPyro9q/3R+VcvH48spPE50cW8wO8xiY9Nw7Y64966TzwfuI7fhVPF0V9r/P7jWthatFr%202kbXV16D9q/3R+VBRSCCoIPtTP3zdlQfmaRoGdSGmfJGMrxip+sSl8FNv10/PX8DKy6sE+zyyHZ5%20TvFwcYJT29qk2r/dH5Vx/hbwVeaDrFzdzah5iSKVUJnLZOctnvXW/vk/uuPyNP6xOPxwdvLX8N/w%20N8TRpU6nLSnzLvsP2r/dH5VleJdUm0XR5Lu1sxcunUFgqqO5J/oK0hOucNlD6NUd/Yw6nYTWlwGM%20My7W2nBx9a1p1oVVeDv/AF1Oe1nqY58QMfEAsRHEkKukbu6t8zsu7AYcA+x61v7V/uj8qoPodpJq%20CXjB96FW27vkZlGFYjuQDWjWhIlM/wCXj/gP9akqP/l4/wCA/wBaBklRzf6o/UfzqSo5v9UfqP50%20ASVHPClzBJDKCUkUqwBIOD7jkVJUc/mmCT7OUE207C4JXd2zjtQB5dHa2EnjCSx+x6alvFdi3Eaa%20I0pZRgc3HZueSeleoW1vHaW0dvCCI41CqCxYgD3PNcGuia6niBrtdKnV2m813TXHW3Z/XytudvHS%20u8tvP+zR/ajGZ9o8zywQue+M84oWwPcpf2Hbm+ublpZ2NyNssbOCjDGMYx0qbTtMg01HWEyMXI3N%20I2ScDAH0AFXKKACiiigCKV4IyBK0amT5cMQN3t70eZHGAiAcdFUVyvjDwbdeI9Rtbi3vVhWJdrK+%20fl5zuXHf/AV1cEIghSMHO1QCx6n3rnm60pcsLJd3r9yOmpSpQpQnGd5O912E/eyekY/M0CBM5YFj%206sc1LRSWEpt3qe8/PX8Nl8kYcz6GfeaDpmoXkV1d2cUs8ONjsOncfX8av4B7ClordRiug5VJySUn%20dLbyIzDG3VB+HFJ5LL9yRh7HkVLRWMsJRbvy2fdaP71YnmZxGr6x4mtvGVva2tsXsiV+7HlXU/eJ%20btjn8q7NZkY4OVb0bipKayK4wwBHvU+yqw/hyv5PX8d/z9DprV4VYwioKPKrXXXzY6q99aRX1lLb%20zxrLG64KN0P1p/lMn+rfj+63Io81l/1kZHuvIo+s8ulaLj+K+9frY57djnbLRL1dJ0GwuI1WG1bf%20dIGBGVB2D3GcH8K6euftPGmlXmtvpcUknnKSAxX5WI6gGtvz8/cRm/DFVLF0V9r9X9y1NKuHq0ml%20Ui1p17EtIRkYPSo8TP1KoPbk0eRn7zuT9an29SXwU389P+D+BnZdxFNvJJsUxNJF2GCU/wAKmrjP%20D3gm80bxHcahJqAkjfcFAyWfJ/irrhKVOJRt/wBodDT+s8jtVXL59Pv6fOx0YmjTpztRnzK29rEt%20FFc/4z+1JonnWt3Lb+VKhcRDmQFwMZ7DntXScp0FFcuJ5IvGB3Tpc+bKI1gR3D26hM7iuduCfbuO%20a6igArH17WLnSTZi3tPOSe4SKSRmwsYZgPqTzWxVW/0+DUYo47gMVjlWVdpx8ynIo6gZdj4gkvdd%20ltCkaQK8kablYM7JjOD909enUVvVnxaLaQ6k18ofzCWYKW+RWbG5gOxOOavPIqfeIFTKcYR5pOyC%2012Opr7QNz4wvOT296Z5kj/cTA9W/wrN1/R59Z0W4s0umiklHDDgdc4PtXOsTzfw4trvsvxtf5Jmt%20OEZTUZuyfXsacRhcGWHy2D/xpg7vxqSud8I+Gp/D2ktbXF0ZZGkL/ITtX2GfpW7slX7sgb2YU/bV%20F8VN/Jr/AIBVenThUcacuZLr3JaxJdHZfF9vqcMCBfs8iTSZ+Ysdu0fkDWt5rr9+M/Veazdb8S2O%20gWa3F4ZPmbaqKvzMaI4ui3Zuz87p/iTTozqSUIK7Y/w/YzWVg7XgH2y4leaY5zyTwM+wwK1Ko6fq%209rqdjFd2rM8UoyPlOfoas+ax+7Ex+vFDxlHZSv6a/lcmVOUW4yVmS1HK8UI8yZkQfd3MQPwzSfvm%20/uJ+tc34y8K3XiS1t0t7wI0TElZM7Wz347il9YnL4ab+dl+t/wADXD0qdSoo1J8qfXc6dERFAjVV%20X0UYFOqnpNk2naVa2jymZoYwhc/xYq5XStjGaSk0ndDJP9U/0NKn3F+lJJ/qn+hpU+4v0pkjU/1s%20n4fyqSo0/wBbJ+H8qkoA47xhpmti6ivtK1DWGhZws1pZNECq46pvHXOM5NbHhOPUYvD0A1dp2uyW%20J89lMgUsdobbxnGOlc78QNU0m42aXc69Jp1xE29ljEoLZU7eUHOCQcZrZ8CBB4StfLvVvVy/75TI%20QTuPAL/Nx05oWzB9DoHdY42dzhVBJPoKxP8AhLLQ6f8Aa0jkCm5+zIsmELN689B9a3axE0i6t4Lk%20RfZJXmupJh5ynAVhjr2NAzYhkMsKOV2lgDgEHH4in1U0uy/s7TLe03l/JQLuPerDRKxyw5+tDEh9%20FR+RH6H8zR5EfofzNADpEEi4P4H0pkchDeXJ98dD60vkR+h/M0jW8bDoc9jnpXNVpS5va0vi/Brs%20/wBH0Gn0ZT17TG1fRrm0jMayyIVR3GQp9aoTeG5n1201GO9P7twXjZQcKEK7VOM45/WtOYraQSSz%20IzxxqWLKTnAGelYHhrxbB4nubi3gtHgeIbwzPkFc4/OhYuCWqd+1tf8AL53t5m8MLVqU5VIq8Y7v%201OnkYu3lIeT94+gqRVCqABgCo1t41GMEnuc9aXyI/Q/madGnK7qVPif4Lt/n3fyMG+iJKKj8iP0P%205mjyI/Q/ma6BElFR+RH6H8zR5EfofzNADbu0gvrZ7e6iWWFxhkYcGorXTLOxtlt7W3SGJeioMVP5%20EfofzNHkR+h/M1E6UKitNJ+paqTUeVPTsJ5LL9yRh7HmjEw/iQ/UYpfIj9D+Zo8iP0P5msPqkF8L%20a9G/y2FzM5nxtea9Z6dC2jRklnxI0Kb2A7celbGjm/uNItZNSPlXTRgyIoxg1e8lB2P5mjyE9D+Z%20p/VU9JSbXq/0sbyxCdGNJQSad79WCQohyBk+p5NSVH5EfofzNHkR+h/M1tTpwprlgrLyOdu5JRUf%20kR+h/M0eRH6H8zViJKKj8iP0P5mjyI/Q/maAJKKj8iP0P5mjyI/Q/maAJKKj8iP0P5mjyI/Q/maA%20Ko0XT11M6iLSIXh6y45q9UfkR+h/M0eRH6H8zSSS2KlOU7czvYkoqPyI/Q/maPIj9D+ZpkklFR+R%20H6H8zR5EfofzNADyoYYYAj3qvcRSR28rWn+tCEopPylscCpfIj9D+Zo8iP0P5msalCnUd5LXv1+/%20cqMmmcn4Iv8AxFeXV6NcikWFfuGSPYQ2eg9RiuwqPyUPY/maPIj9D+Zq4R5Y2vc2xVdV6jqKKj5L%20YkqP/l4/4D/WngYAA6Cmf8vH/Af61ZzklRzf6o/UfzqSo5v9UfqP50ASVFdJNJaypbSiGZkISQru%20CN2OO/0qWo5po7aF5p5FjijUs7ucBQOpJoA8/ttT8WweJYtPury4uNt2qOF0oLFJB1L+bnA4zx1r%200SvNjfXd54ztprPxdaT2ct0P9Ejv4wBHkYATBLE8gjPXmvSaFsge5mPr1qmqy2GJN8MLTSPtwoAx%20kZ7nntUmj6qur2YuY49kbY2/OrH8cdD7Uy60ySfWFvFaLYtq8Ox1zksQeR6cUmk6dNaXF1c3JhEl%20wUzHCDsUKMcZ9aEDNOikZdwxkj6GmeV/tv8A99UASUVH5X+2/wD31R5X+2//AH1QBJRUflf7b/8A%20fVHlf7b/APfVAElFR+V/tv8A99UeV/tv/wB9UASUVH5X+2//AH1R5X+2/wD31QBJRUflf7b/APfV%20Hlf7b/8AfVAElFR+V/tv/wB9UeV/tv8A99UAZlt4W0q01mTVIbbbdOSc7jgE9SB0BrXqPyv9t/8A%20vqjyv9t/++qSio7I0qVZ1WnNt201JKKj8r/bf/vqjyv9t/8AvqmZklIQCMEZFM8r/bf/AL6o8r/b%20f/vqk0mrMBux4uY/mX+6f6U5ZEkGO/cGjyv9t/8Avqq2oaat/Yz25lkQyxlA4PK5HWuVUZ0v4L07%20Pb5Pp6ar0LjaTSl95YhmguMyQSRyYO0shBx7ZFS1yng/wfN4aF0Z73zGm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height="267" width="780" overflow="visible"> </image>
            </svg>
          </div>
        </div>
        <div class="fig"><span class="labelfig">FIGURA 4.&nbsp; </span><span class="textfig">Profundidad de trabajo real a) 
          Tractor XTZ 150K 09 y grada Baldan de 24 discos. b) Tractor YTO X 1804 y
          la grada Baldan de 52 discos.</span></div>
        <p> <span class="tooltip"><a href="#B19">Paneque et al., 2018</a><span class="tooltip-content">Paneque, R., López, C., Mayans, C., Muñoz, G., Gaytán, R., &amp; Romantchik, K. (2018). <i>Fundamentos Teóricos y Análisis de Máquinas Agrícolas</i> (Edición primera, Vol. 1). Universidad Autónoma Chapingo, Texcoco, México</span></span> y <span class="tooltip"><a href="#B21">Silveira, 1982</a><span class="tooltip-content">Silveira, R. (1982). <i>Teoría y cálculo de máquinas agrícolas</i>. Editorial Pueblo y Educación, La Habana, Cuba</span></span>),
          plantean que las gradas de discos y de otros tipos, por lo general son 
          arrastradas en el momento del trabajo y no tienen ruedas de apoyo, por 
          lo que la profundidad varía de 0,06 a 0,25 dependiendo también de su 
          peso y el diámetro de los discos. Teniendo en cuenta esto, los 
          resultados se pueden catalogar de aceptables.</p>
        <article class="section"><a id="id0xfffffffffb774500"><!-- named anchor --></a>
          <h4>Tiempo de viraje para para ambos agregados</h4>
          &nbsp;<a href="#content" class="boton_1">⌅</a>
          <p>En la <span class="tooltip"><a href="#f5">Figura 5</a></span>,
            se aprecian los resultados relacionados al tiempo de viraje del 
            agregado por el tractor XTZ 150K 09 y la grada Baldan de 24 discos, así 
            como el tractor YTO X 1804 y la grada Baldan de 52 discos. Las 
            magnitudes de este tiempo oscilaron durante las observaciones de 17 a 20
            s para el primer conjunto y de 13 a 17 s para el segundo, los valores 
            promedios fueron de 18,5 y 15,4 s respectivamente. Dichos valores se 
            comportaron por debajo de lo referido por autores consultado como <span class="tooltip"><a href="#B5">González (1996)</a><span class="tooltip-content">González, G. R. (1996). <i>Explotación del parque de maquinarias</i> (Primera edición). Editorial Félix Varela, La Habana, Cuba</span></span>; <span class="tooltip"><a href="#B7">Gutiérrez et al. (2004)</a><span class="tooltip-content">Gutiérrez,
            R. F., González, A., Serrano, M., &amp; Norman, T. (2004). Evaluación 
            de Explotación-Tecnológica del conjunto Multiarado-Tractor J. D. modelo 
            4235 en la labor de preparación primaria de un Vertisol. <i>Ciencia Ergo Sum</i>, <i>11</i>(2), 171-176</span></span>; <span class="tooltip"><a href="#B12">Jróbostov (1977)</a><span class="tooltip-content">Jróbostov, S. N. (1977). <i>Explotación del parque de tractores y máquinas</i>. MIR, Moscú, Rusia, URSS</span></span>. Pues para estos aperos de labranza en campo con longitudes entre los 300 y 600 m el tiempo de viraje esta alrededor de 27 s.</p>
          <div id="f5" class="fig">
            <div class="zoom">
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ZNP0e/wBL%20SC0aPVXuVKi5l4xjJ+c7gx3e9U/HWjXFzq/iBrvRL/Uprm1QaXPboXWDC/OvB+U559673xB4t0vw%204FjvrlUuJEZ4otrMTjucA4Ge54rPsviBpf8AYul3erTLa3F9AJvKRWcRqTjJIHC+5xQ9f67gtDh9%20Q8OavP4sjklh1ISH7KbOWC1DrEqqu4GQkeXgg5Hf8a7jxta3tuLDXNKt5Lm+092Xyoly0kbrtIx3%20wdp/A1pa9rraQdK8mJJlv72O2JLY2qwPzD16U2w8YaLqerNptneiS6XdgbGCvt4baxGGx7GjfQNt%20TgNW8K39hYz2dtaXE7f8I+0bvGhIknaYMwH+11P0qLxr4ZlSO303TNBn8iOwLQSwwNN+/Jyw+8Aj%20HGS5BJ7V6TrPifSfD8sEWp3awyT52LtZjgdSQAcAep4qovjrQXksUS9LPfoJLdVhcl1LFc9OBkHr%20Rv8A16ht/Xp/kec6jY6lqTa1Dai4lZF003kaJvkZBH842Z+Y56qetd18OdOn03w/Kkwu0ie4d4Yr%20mEQsicdEBO0E5ODU2h+IPCrX1/HpMtvFM264uHEZQS4OGfcRhgPUE1WtPiLpmo+II7Oyljex+yS3%20M1y4ZNmwjsQMqQc5oT/H+v0Fb8DsKKyND8UaV4iMw0y5MrQ4Lq0bIwB6HDAHB9ax/EPxD07Sbn7F%20ZyJc363MUEkWGCruYA/NjG4A5xmjrYZ19FY0XizR59bbSY7xTeBim3Y20sOqhsbSw9M5rL8XeMpd%20A1aw061Gn+ddRvIXvrgwooBAAzg8kk/lQB1tFcZrnjHVtGdp20ZG0+1EP2mcykb2kIBEIx8+M+1d%20Lqms2Oi6c19qM4gt1x8zAkknoAByT7CgC9RXFWHxBTU76RLVLcWw1GKzjkkZ1MgdCx428MCMYOK2%20dP8AGeh6pqEtlaXytNGrMdyMqsFOGKsRhgPY0AblFYOn+N9A1P7UbXUYytrGZZWdWQbAcbwSBlfc%20Uln440C+sLu8hv1ENogebzEZGVT0O0gEg9iOtAG/RWboviDTvEMEsumzmQRPskVkZGQ4zyrAEcVp%20UAFFFFABRRRQBHN/qX+lSVHN/qX+lSUARx9ZP97+gqSo4+sn+9/QVJQAUUUUAFFFRzTxW8fmTypG%20g/idgB+ZoA5f4hrcNpFntW6bTxdp/aC2ufMMHOcbecZxnHOK4S+Jj0y1G3VF0B9bQWceZBOYfLbe%20AD8+3dnAPPWvYWu7dZEja4iDyDKKXGW+g71Fe6Xaai9s93CJGtZRNCSSNjjgHj60LT+vT/IL/wBf%20eeQ3lvqJ8PuLE30PhxtVJTz45pGWHZ3QESFN+e9amk6Lcajd+FrbVHvri1WG6k+ZZIcqGUxqw3E4%209ATnGK9VooWn9eQM8a0eTU5fG8N1bRXttNK91FOkqzNhtreWHdvkOcDAUYGOtLbpGvhPUxbQ68Nd%20OnONQaTzPL87cM9erZzjb2zXslFC2sHW55Fr0dydS1H7THqzawUg/sNoPM8sDaPT5Qd2d26m63pN%203LH4q1KT7d/aNnc27WpieQKG2puKqODzn1r1+igDi/iCJX0/STcLdvpX2lTqK227eU2nGQvzY3Yz%20iuCe1vBocy2q31vpD61K0xnhld/L8tfLLqpDsuff0zXuNFHf+u3+Qdv67/5nACHUI/g1eRyy3U9z%209lk8ovEyS7cnaNuSenTJzjFcvqfh6W1t9Z+zHU/9H022u4B58pzcn7zdeW46fpXs9FHW4Lax5D4j%20vruzh8V2UkOotdagtvLamKF2UqFXcdw4XBBzVn7Jc/8ACS7/ACJsf2+X3bD0+y4zn0z3r1Wij+vy%20/wAgPF1ikbTNF/t6LV5LP+yXFsLcSlhdbz94LznGMZ4p0duI9J0VPEEGqf2cukBbRLVZPlutxzuC%20chsYxnivZqKHr/Xr/mH9fl/kcns8Qf8ACr2VzJ/bv2E9D8+/H/oWP1rz+3t3+03UnhW31WOb+wnU%20tcLIG87eu8KX/ixnpxnpXtlFD1bf9df8wWiS/roee/C23uIW1Bhczy2TCPaj20kKCTHzbfMYsT0z%202zXMX8VydGhspLS7VJtQvnEgSYoH3/ICkeCxPYkgD3r2mih6gtDj9GfVpvhPEYWmOrHT2CGQEP5g%20BA6964GIRozRaWurJI3h+5M0dyZMmf5dxUN3z3HHTFe1zQx3ELwzKHjkUqynoQeorK0fwpo2g3Ek%20+m2SxTSLtaQuztt9AWJwPpQ9W33/AOD/AJgtEvL/AIB5r4n0s2WlaXp1tbX/AO9smuPOZp5Q1wQO%20NqnO/jqxAHpTNVE11awvr0erzmTQ4/sBgWT/AI+Np8zcF/i6fe7Zr2Wih63/AK7/AOYLS39djwzX%20/t7WWnpDb38N1Z6baPA6pM2cAb9gXCpjuWyTjGK7/wCIAlk0zSTOt3JpX2lTqItg28x7TjIX5sbs%20ZxXaUU27/fcF+ljw57W7Gh3C2iX1vpD61I0xnhld/L8tfLLqpDsuff0zXoGg/wChfDUtri3F/AkT%20sY5rch5I8nauwknpgDPOMZrsaKXSwdbnk+nXWoa5Z6pfaVbzHXLuOOA2oiaBbS1DY2q7gKz47+p4%206VvfC2G5s9O1W0l0qTT4I7+QxK8gb0+UeuMDnoc13VFC0B6njGo2zSawwv7fVH1wa7GxbbIYfs3m%20DYf7m3GPfNM163vZPD9u0zXoC6he/I8UzRtl/l3FDuU4ztOCK9qopW0t/XT/ACHfW/8AXX/M8lvt%200zaVJ4ntdaSxOlKLaO2aR5Eud3OSv8e3bgtxR4kjnfVtQN/DrRv2t4f7C8redrbRncU+UPv+9ur1%20qimxLQ8d1uPVYPHtnPIl5c3ha3zEqypg7QG8t1yhTO4kMB3r2KiijpYVtQooooGFFFFABUaf62T8%20P5VJUaf62T8P5UASVHN/q/xH86kqOb/V/iP50ASUUUUAFFFFABRRRQBwF/4K1ieXU9Ngmsf7H1S9%20F5NO+7z4jlSVUdDyowc8ZrMs/D+s6zPrunRraw6XNrJkllmVhMAjK2U4w2cDntzXqVFC0/r0/wAg%20ev8AXr/medaf8Ormz8Vm6dLKWzF494tw8spm55C7MhAQT9707VM3g7W4PBulaZazW3nW1w8lzF5r%20xpMjFuN6jcPvdutd/RR0sHW55zpfgfXNBtNMuLBtPlv7CS5HlSu/lPHKc53YyCMD1+tWNQ8C6pq7%20Xhu7mzSS402K33QoVQTJL5n3P7nQdc131FAHnepeC9e16DUrvUW0+G/uYIbaKGBmMQRJA5ZiRkk8%204GOK6TT9DubXxpqOrO0X2e5tYYUCn5tyZzkY6c10FFAHnV34K14PPY2smnPpkmqrqQkkLCb74Zk6%20Y49aXSfh3c2Hiv7XKllJaR3kl2lw0spmJYkhdmQgIJ+93r0Sihaf16f5A9TkPEHhW+1TWtUu4HgE%20d1oz2Me9jkSFicnjpzWZqHgDUL2K8jWa2QS6Rb2cZyTiWJt3PH3TivQqKVv6+/8AzHf+vu/yPOLr%20wZ4i1abULrUDpsc91FaxokMjlV8qUMckjuBVpPAt++pCSaaBYGvL+VyrHcEnTauOOo713tFP+vvE%20tDzmz8Ea9NLplvqkmnJZafZT2KyWxbzHV02BiCMZ6cVoaD4V1mPVNIl1h7FYNEgaC2Nru3T5AXc+%20R8vAHAzya7ainfr/AF/WoWOQ8Q+HtYl8RNqmiPYubmxNjOl3uwi5yGXAOevSuZn+F+pNBp+FsLiR%20bBLOdZ5pVWIqSdy7Mbxg/dOK9Vopf1+f+Yf1/X3HOa34dnvLbQoLJolXTryGZt2R8iKRx155HBrn%20tB8Ea3Z+K7DVdTltJ/spmV5VmkLyK4O07SNq4zjA/WvRKKOtw6WPP/HM8ui+J7TV7VlaSWze0eOS%201llXaTncpQH5s9jjNJ4J8L6laQ6VfTqluU0Y2u1x86SNIWBx6YIr0GihbW/rr/mD/r8P8jy/T/hx%20rMl276tcWpMthPZSTpNI7sXHyvhuB/ujAHvVtPCPim4njluZ9MtpbfSpLCCS33E7jt2sQR3x07V6%20LRR/X5/5h/X9fccT4J8JaloWt32oaiLYG7t40IinklbepOSS/XPX+lUb3wVr++5sbSTTn0yXVF1I%20SSFhMDvDMnTHbr+FeiUUX1v/AF3DpY870v4d3Nj4s+1yJZS2iXj3iXDSymYliSF2ZCAgn73pWp4v%208N6rq160umrpksdxaNZyrex8xAn76MASev3eldhRStpYL63PPbvwr4jXVNNEKadfaZpcMaW0N1O6%205kUAGVgFOW64B4FdF4u0S81vTLQ2Lwpe2V1HdxLLny3Zf4Wxzg5610FFMDz628G65LqbX9+1gksm%20rQ37rAzbVRIypAyOTyPrVfSvh5qttrN20s9ra2E0M8TrayORLvBAPltwmM5ODzXpNFH9foFzgo/C%20Ov6h4an0LVJtMgto7NbW3lt0ZpHKkbWbOMD5RlRnrSS+ENb1g313rA0pLt7AWMEEYd4WAbcWc8Hk%20jjHTrXfUUPUFocl4C8N6n4dgvV1KdCkzqYbdJmmEQA5+dgCcnt2xXW0UUN3CwUUUUAFFFFAEc3+p%20f6VJUc3+pf6VJQBHH1k/3v6CpKjj6yf739BUlABRRRQAVma80q2A+z2f2mZmCp8gYR56vg+grToo%20A5aHTZrS9tGsYrzeEijLTBfL8tc7s9w3J/SuoIJBwcH1paKAI9j/APPU/kKNj/8APU/kKkooAj2P%20/wA9T+Qo2P8A89T+QqSigCPY/wDz1P5CjY//AD1P5CpKKAI9j/8APU/kKNj/APPU/kKkooAj2P8A%2089T+Qo2P/wA9T+Qpt1NJBbs8UDzuMBY0IBJ+p4FYv/CX2+xG+zSkAFp+R+5AfZn/AGvm9KANzY//%20AD1P5CjY/wDz1P5CpKKAI9j/APPU/kKNj/8APU/kKkooAj2P/wA9T+Qo2P8A89T+QqSigCPY/wDz%201P5CjY//AD1P5CpKKAI9j/8APU/kKNj/APPU/kKkooAj2P8A89T+Qo2P/wA9T+QqSigCPY//AD1P%205CjY/wDz1P5CpKKAI9j/APPU/kKNj/8APU/kKkooAj2P/wA9T+Qo2P8A89T+QqSoriVoLd5EieZl%20GRGmMsfTmgBdj/8APU/kKNj/APPU/kKwn8WxRxnNpMZYzJ50YZf3apjcc9D1HSt9HWRFdTlWGQfa%20gBux/wDnqfyFGx/+ep/IVJRQBHsf/nqfyFGx/wDnqfyFSUUAR7H/AOep/IUbH/56n8hUlFAEex/+%20ep/IUbH/AOep/IVJRQAVGn+tk/D+VSVGn+tk/D+VAElRzf6v8R/OpKjm/wBX+I/nQBJRRRQAUUUU%20AFc5qN5K+sTW9pqSwMkDeYJWAVWI+XHGcjkk10dNKKTkqCfpQBn6FdNd6cGbeSjsm9n3h8HqGwMj%208K0GZh91C340oAAwBgUtAEe9/wDnkfzFG9/+eR/MVJRQBHvf/nkfzFG9/wDnkfzFSUUAR73/AOeR%20/MUb3/55H8xUlFAEe9/+eR/MUb3/AOeR/MVJRQBHvf8A55H8xRvf/nkfzFSUUAR73/55H8xRvf8A%2055H8xUlFAEe9/wDnkfzFG9/+eR/MVJRQBHvf/nkfzFG9/wDnkfzFSUUAR73/AOeR/MUb3/55H8xU%20lFAEe9/+eR/MUb3/AOeR/MVJRQBHvf8A55H8xRvf/nkfzFSUUAR73/55H8xRvf8A55H8xUlFAEe9%20/wDnkfzFG9/+eR/MVJRQBHvf/nkfzFG9/wDnkfzFSUUAR73/AOeR/MUb3/55H8xUlFAEe9/+eR/M%20Ub3/AOeR/MVJRQBHvf8A55H8xRvf/nkfzFSUUAR73/55H8xRvf8A55H8xUlFAEe9/wDnkfzFOVmP%203kK/jTqKAI5v9S/0qSo5v9S/0qSgCOPrJ/vf0FSVHH1k/wB7+gqSgAooooAKKKy9fuYbXTt808se%20WCosUmxpGPRc0AalFchHe38eoW8c140k6NboER/lkVgd5x/F9fauuJwCcE+woAWio/Mb/nk/6f41%20lJ4h8/WLrTreynaa3i8wNJhFc5xgE/zoA2aKy9G1eTVbaSdrNokWRo1IcOHxwSDxxnNaHmN/zyf9%20P8aAHnocda5FNW1po9RSd0EkN9HETbx7jFEygnaD94jPp+FdX5jf88n/AE/xqpLp1nOkyy2Css7B%205AVHzMOhPvwKAGeH7+XUtFt7mcfvG3AnGM4YjOO2cVpVRlvbPS7dRM0VrCgwA7qoA/Os7/hMLKZi%20thbX18R3t4CV/wC+jgVShKWyGotmpqlpNf6dLbW901q8g2+aq7iB3x+FZMnhRZUhT7QkaLCIJUjh%20wrxhtwA5+U5789aedc1ZuY/Dd0V9WuI1P5ZrA0/4iXD69cW2oac8NtHkEIpd4sf3sdRUz9xpPd/M%206KWEq1ozlBaRV3qd50paq2mowX9us9m4nibo0bAj+dTeY3/PJ/0/xoascxJRWTrmvJodj9pktbib%20LBQsa5/EnsPekm1qeLWrew+wFhOCwdZRlUA5Yr2GSB1oA16Kj8xv+eT/AKf40eY3/PJ/0/xoASa5%20ht3jWaVI2lbZGGYAufQetMgv7W5nlhguIpJYjh0VgSv1FZGt6U19qmk3sNoWmtrlS0hIykeDnHPq%20RVXQtMvrLWZJp7UrGFlGdwKjdJuGznOD1O7v0oQM6mio/Mb/AJ5P+n+NHmN/zyf9P8aAMG91HVYP%20ErW0Zg+ztZSywR4+ZnXGCxPQZPSn+GNUur5rqG7aR2hEbbpI9jZZclcegPQ/zrVkghlnE0lrulCG%20MMQCdp6j6HFJZ2tvp8XlWloIYyc7UAH9aEDLdFR+Y3/PJ/0/xo8xv+eT/p/jQBJRWHb+JDez6hFa%202Mu6yK5M7CIODnkZ6Djr3q3pGqSappsV41nJCJclVLBsr2P40AaNV76Ca5spobe4NtK6lVmC7inu%20BUnmN/zyf9P8aqahrNppUIkvpPKB4UHBZj6ADk0JX0Q15GW3hLdZwwrdLGY4ngYpDw8b43cEn5sj%20O7PfpXQxosUaoowqgAfSuEg+IGoXPiV7G30h5YjkJGfkl6Z3HPA/Gt//AISO6h5u9B1GNfWMLL/I%200U37S/L0OivhKuHcVUW6utejN6snxPd31joF1c6aYVniQvvlGQoAySB3NMtPFelXknlpciOX/nnM%20PLb8mxWjMsd1bvFNB5sMi7WU4IYH8acotbnPs9TnLnW9Qt9TtNxfyJPs6qqxgrJv++Wb+EjjA4/G%20urqj9gtPtUdz9hXz41Co+0ZAHQVa8xv+eT/p/jSJJKw/El9qFh9heyaFIXuo45mYZYhmAwo6fjWx%205jf88n/T/Gop4orpVWe28xVYOoYA4Ycg/hR1GYdnq9//AMJP9jud/lyyTKE8sBFVQCrK3cnPIz+V%20dLVOKztoLqS5isgk8v33CjLVY8xv+eT/AKf40dAJKjT/AFsn4fyqSo0/1sn4fyoAkqOb/V/iP51J%20Uc3+r/EfzoAkooooAKKKKACiisXVdbm0y7KeRHJF5TP8rHcuMAFuwBJxQBtUVR0u9kvYZvPRUlhl%20aJ9hypI7j86uNIqfeOM0AOoqPz4/7wo8+P8AvCgCSio/Pj/vCjz4/wC8KAJKKj8+P+8KPPj/ALwo%20AkoqPz4/7wo8+P8AvCgCSiqNxrNha3lvazXKLcXJIij6s2Bnp6e9Mttds7u9e0QyrPGu9lkhZflz%20jPIoA0aKj8+P+8KPPj/vCgCSio/Pj/vCjz4/7woAkoqPz4/7wo8+P+8KAJKKj8+P+8KPPj/vCgCS%20io/Pj/vCmTXtvbwvNPMkcSDczscAD60AT0VkSeKNMjsYb3zJWtZlDJKkLsuCcDOBxzWmJ4yAd3X1%20oAkoqPz4/wC8KPPj/vCgCSio/Pj/ALwo8+P+8KAJKKj8+P8AvCjz4/7woAkoqPz4/wC8KPPj/vCg%20CSio/Pj/ALwo8+P+8KAJKKj8+P8AvCjz4/7woAkoqPz4/wC8KoJ4i06VLhreY3AtpPLl8hGfa2M9%20hQBp0VTsdUtdRs47q2kLQycqWUrn8DVpZFf7pzQA2b/Uv9KkqOb/AFL/AEqSgCOPrJ/vf0FSVHH1%20k/3v6CpKACiuf8ZXF5Z6LLd2181nBCpMrRRq0hyQF2lvlUZPJIPFYfgPU9S1W6uT/atzc28LgkXc%20cbeZGwO1lZMbTkZwc8Y9aFqD0O8pkkUcy7ZY1cejDNPooAjEESlSsSAoMKQo+Ue1SUUUAFZ8ukrJ%20qkt8JnV5LX7NtAGAMk7vrzWhXK+OPEt/4dt7VrC3V/NYhpHUkLjt9T/SonJQjzM3w2HniKqpU93/%20AMOdDp1imm6db2cRJSBAgJ6nHeodQ1vTtKA+23ccbHomcufoo5rItLHWdetIbjU9QeyhlQP9ltF2%20MAezOefyxWrp2g6bpZ3WlqiyHrK3zO31Y81suXdu5nKCg3F9Ch/bupah/wAgjR5PLPSe9byl/BeW%20NYF54c8VXviaG4nv9tucb5LaUoEXuoHXPvXf0VFRKaStaxvh8VLDtuCWqa1V9zItPC2kWkglFmss%20w582cmRs/Vs1rKoVQqgADoAKWim5OW7OZtvcKYIkV2cIoZurAcmn0UhXMS98Np9oa90iX+z748lo%20x+7l9nTofr1pLHxCVulsNahFlen7hJzFN7o39DzW5Ve9sbbUbZre8gSaJuquM/8A6q0U76SKvfci%201fTl1bTJrJ5GjWUAFlGSMEH+lEempHq8uoF2aR4VhCkcKASePqTWRLYaxoMLvpVyL61RSRa3RJdQ%20OyOOT9DWT4a8bavqn2n7Ro8twEbhrcBdvsdxrOTSmop7m8MJUqUpVo25Y2vr3O6orBOp69ccW+iJ%20Dno9zcjA/BQTSf2TrV9/yENY8hD1isY9v4b2yf5VfJbdr+vQw5e5r3t/badbPPeTJDEgyWY1kjxr%20oskatb3L3DN0SGJnb8QBx+NR3PgbSLqzlilSZ5ZBj7RJKzyA+uTVzw74etfDdgbW1Z33OXd36sf8%20iovafeP3anQo4f2Dbb577dLFf+2tVvONP0SVVPSS8kEQ/wC+Rk0Cz8R3JzNqVnaqf4beAuR+LH+l%20b1FXz22SOfm7I4rxL4c8RXOnBLLWZ7slwWiYJFx7EY/ImrmnjxRo+nwLdR2+pqiDeqOVmX2yeG/S%20upoqEkpub6nRLFSlRVBpWTvtr95mab4gsdTkMKO0N0v3raddki/gev4Vp1R1LRrHV4wt5Arsv3JB%20w6H1DDkVmix13S+LG9i1CAdIrziQD2cdfxFaWjLZ2OeyexaudBS4k1R/tEinUYlibAHyAAjj860o%20Ykt7eOJOEjUKPYAVw/iPxprukXFrF/Y6wGQ5O5/NEnsCvStpdI1HW1V9cuhHbsAfsVtlVPs7dT9B%20gVnBxcnFvY3qYSdOnCrO1pXt8h1zr1xqM72fh6NZpFO2W7f/AFMP4/xN7CrWmeHrexlN1cO15ft9%20+5m5b6KOij2FaNvbw2kCQ28SRRIMKiDAFS1bnpaOiMG+iGeWgkMmxd5GC2Ofzp9FFQTcrXmnWeoI%20UvLWGdT2kQNWU3hK1h3Npt1eWDdhDOdmfdTkVvUVSnJaJjUmjgvDvhvxTbX1293qr26P/FkTeYc9%20cHpXQf2Zr3/QdT/wEX/Gt2ippfu48q/E6MTip4ip7SSSfkjC/snXG5bxAVP+xap/Wq9/oevSWMwg%208QzNMUIRfIRAx9CQMj6iuloqnNtW/RGUKjhJSXTyOY8D6Vq+labPHrEpZmkzGhk3lR35966eiis4%20RUIqKKxFeWIqurJJN9tgqNP9bJ+H8qkqNP8AWyfh/KqMSSo5v9X+I/nUlRzf6v8AEfzoAkooooAK%20KyfEkENzpTRzTOhJJjiScxee4BxGSCCQfQGvP/BWmqNV+0z2TaTbGNWjlV5YG3hgNrb2IYOd3y46%20AetC1dgeiuerVQl0aymuJppI2Z5xtlBkbawxgZGcVfooAgtbSGyh8q3XauSxySSSepJPJNT0UUAF%20FFFABRRRQAUVjeLRc/8ACNXr2l09rJHEzl4x82ACcA9s+tZM91NFrNjM9ys4MUCLaCVxJlusmAcH%203zngdqED0Vzr6KKa7rGhZ2CqOpJwBQBmappLXupabdwrEGtp98jMPmK7WGAfqafpWnS2lzqFxcMr%20TXU5cEHOIwAFX8Bn86o6t410bS7eR/tcdxKo4ihYMWP16Umh+NtK1qBWM8dtOTgwzOAR9D0NF7S5%20Opv9Wqul7bl929rnQ0UgIIBByD3paDAKK5e9e9g8V3IN+/lPp0jxxkYjhIIAPHJPvVjwlMzW08DS%20C4MJQG6SR3SYlQSRuJwR3xQgeh0FFFFAHMP4ruUGp+bYGF7aeKGFGO5n39GIH54HNbOkXzajp0dw%205j3klW8vOAQSMYPIPHQ1HLoVpM947eYHu2R3YNyrJ90r6EYqzY2MOnWqwQbtoJYljksxOSSfUk0A%20yzUdxClxA8UiK6sPusMiql9rmm6bxeX0ETf3S43fl1qj/wAJfp7ZMUV9MB/FHaSEfniqVOTWiGky%20Gz8P3UWn6JaTvEY7JzJOqk4YgHbjjnBOfwro65TT/iDp2oa9/ZqxSxBiVSaX5QWHYg8j8a6uojNS%20vY1r4erQaVWNm1f5BRRRTMQooooAKKK5/wATm7juNJlgvJIoftsSSRIMeZk9z6e1AHQUVy+lXEi+%20KJ45LhLszPKf3cjn7Mq4wrKTgZ+nX1rqKOgBXPXfiaaz1TUIJrIpb2lobhJGb5pSDjgdh9a6GqNx%20o9pdXklzMjM8tubZgTwUJz09aBoh0LU5dTtpWuBEssb7WVAykcAjIYZB5rUqnp2mQ6YkgiaR3lbc%208kjbmY4wMn2AAq5QJBXOP4fuo7fW4rNoYRfsvk7fl2LtCtnA4PWty4vrW1Gbi5hiH/TSQL/OuZ1T%204i6Vp1/FbxbrpWx5ksRBVP8AGlNqC5pbG9DD1a8uSlG73OpghS2t44YlCxxqFUDsBxUlICCAR0NL%20TMNiOb/Uv9KkqOb/AFL/AEqSgCOPrJ/vf0FSVHH1k/3v6CpKAMnX9Gi1e0Ilvbiz2Iw8yKQAbSOd%20ynKsPqKzPDGg2cW26ttfuNVijb5NksYiBAxyIwAcD1zitHxbFZzeFtQTUZpIbUxfO8a7mHIxgd+c%20cd6w/h5Dbx/2k6y3Bu2aPzopdPFlsAB2kRjjnnnvihdQeyO0rN1/UbjS9ImurW3E8kYJwzbVUdyf%20/rVpVDd2sV9aS204JilUqwBxkGga3MltZuF1OCKSMRWrpHmZomKs7fwhs4Hb161tkgDJOBVJ9HtZ%20LiOV/MPl7cRmQ7Mr90lemRV6gQzzY/76/nSGSJhhmQj3Ip+B6UYHpQA3zY/76/nR5sf99fzp2B6U%20YHpQA3zY/wC+v50ebH/fX86dgelGB6UAN82P++v50ebH/fX86dgelGB6UAN82P8Avr+dHmx/31/O%20nYHpRgelADfNj/vr+dHmx/31/OnYHpRgelADfNj/AL6/nSCSJfusgz6EU/A9KMD0oAb5sf8AfX86%20PNj/AL6/nTsD0owPSgBvmx/31/OjzY/76/nTsD0owPSgBvmx/wB9fzo82P8Avr+dOwPSjA9KAG+b%20H/fX86PNj/vr+dOwPSjA9KAG+bH/AH1/OjzY/wC+v507A9KMD0oAYZImxlkOOmSKXzY/76/nTsD0%20owPSgBvmx/31/OjzY/76/nTsD0owPSgBvmx/31/OjzY/76/nTsD0owPSgBvmx/31/OjzY/76/nTs%20D0owPSgBvmx/31/OjzY/76/nTsD0owPSgBvmx/31/OjzY/76/nTsD0owPSgBvmx/31/OjzY/76/n%20TsD0owPSgBajT/Wyfh/KpKjT/Wyfh/KgCSo5v9X+I/nUlRzf6v8AEfzoAkooooAq6lbWV1YypqUM%20MtqqlnEygqAO/Pp61ynhS18HXGoudI0sw3SKJENzA6l0zw8e/qOnI9RXW6hJFFp1zJPH5kKRMzp/%20eUA5H5V5z4G13QrfWSrrZWktzAPs7nV/tO1SwxFhvuHkfKPT2oW4PY9Oqhc6xa2s08UpkDQQ+c+E%20ONvse5q/WZcaZPNqb3Qnh2NAYRE8O4YznnnnmgC9bTi5gWUI6Bv4XGDUtUtK04aZaGHeHLO0h2rt%20UEnOFHYe1W2jV8bhnHvQBHdyyQWskkEJnlUZWMEDcfTJ6Vzy+INTl8L2+rJBaq2GaeM7iBhscHsO%20CST+VdH5Efp+prMPhnTzZw2oWZYItw2LMwDAnJVueQaANVGDorAggjII6U6qd1NYadBvuporeJRg%20F32isg+I47wldF026vz0EuDHF/3039BVqDlshqLZ0RAIwRkVQu9Y0uyVpbm8tkMZ2/fBYH0wOfwr%20M/snXNSB+3ahHYRH/llZAl/xdv6Cs/wv4B/sPVpry7uI7rIKxDbyMn7xz3+lRK8ZJbrr5HTSpUZU%205ynOzWytv8zT/tfVNW+XR7AwQn/l7vQVH1VOp/HFOTwrDcMJNYup9Sl64lbbGPog4/PNbXkoex/M%200eRH6fqa09o18Ohz83YrvpGnvZvaGytxbuMNGsYAP5VGmhaXHYizWwt/s65xGUBH1571c8iP0/U0%20eRH6fqaz683UftJ8vLfTsYZ8OT6cfM0C+e2A5+zTEyQt7YPK/hSp4mayYRa9ZyWLdBOvzwN/wIdP%20xrb8iP0/U0jW8TKVZAyngg8g1pz3+JX/ADFzX3I1v7J4BcLdW5iPAk8wbfzqZNioNm0J1GOlcl4m%20+H9rq0KHS1gspw+XIUhXHuBVyw8EadbWUMN0Zrl0QBy0zhWP+7nAFZppzae3c3lSoqjGan7zeqtt%208zWvNa06wB+1X1vER2aQZ/LrWf8A8JVHccaZp1/fejpFsT/vpsCrlr4d0myINtp9vGw6MEGfzq95%20Keh/M1d4Lpcw0OF8Rax4wS+tBZac1tGx4WPE24/7ZxxW8PDt3eqG1fWLuXI+aGDEKfT5eT+dbnkp%206H8zR5Efp+pqIXjJyT3/AA9Doq4lTpwhGCXL1W79SnY6Dpmm/wDHpZQRt/f25b8zzWhUfkR+n6mj%20yI/T9TTbb1Zyt3M6fwzo9zcTTzadA8s4xI5Xk+/sfcVnsb3wodxaa+0f+Ld801qPXPVk/UV0PkR+%20n6mjyI/7v6mnB8ultC3UlL4ncIJ4rqBJoJFkikG5XU5BFZviTVLrR9Gmu7O1W4kjGSGbaqjuT/gK%20oXGmT+Hp2u9Jhaewc7p7FTyvq8fv6r3rRjGm+I9IcRv51tOpRwrEEeoPcGnKNldbCtbXoQ3Op31t%20qFhuS3+x3TLGSdwYMVz16dcADv6itqs59Cs5LuO4cSsY9pVDKxTIGA23OMj1q6YYwMkcfU1BJJTW%202hSXwAvOT2rCuvEFsZ2tdJt5NSu14Kwt+7Q/7T9B/Oql74b1bW7CZNQ1MWxkXC29qv7sH/aJ5b9K%20pwajdmkIJySm7I3n1LToI/Pe7tURv4zIoDfj3qg/jDRwSsNw9y4/ht4mkP6Cs7wv4EtdGtn/ALQS%203vLhmyGKZCD0Ga6dLaKNQsaBFHQLxSg04pyWpdeFKnUcacuZLrtcxv8AhJLiXH2TQ9SlB6M6LEP/%20AB45/SsXxPq/iyO0iey0w2yl/mMTid/bIA4Fdp5Keh/M0eSg7H8zSqWlFxWnmPD140aiqOClbozn%207Oy8R31nDJfaqlmzoC8UNsu5T/vEnn8Km/4RWObH23UtSuj3DXBUH8FwK2vIj9P1NHkR+n6mrU5J%20WRlKbcm0rGbb+FtFtjlNOt2b1kXef/Hs1LcaBpd3NDLPYQO8P+rOzG2rvkR+n6mjyI/T9TUybl8W%20oRqTi7xbTJKKj8iP0/U05Y1T7ox+NIgbN/qX+lSVHN/qX+lSUARx9ZP97+gqSo4+sn+9/QVJQBie%20MmhTwjqLXNv9ohEWWi80xAjI6uOQB1J9q5bwFpGmXl9Lfx/ZjcWzLtNnrMt2pyCPnB4+mc11Xi+K%20Cbwrfx3U7QRFBmRIxIwORjCngknAA96yvAU4mjuwb2e4kxGxjnsY7ZkBBxwnXoRz0waFuwex19FF%20Vr/ULbTLR7m9mWGFOrN/L3NAFmiqR1ezW7jtjKfMkCkfKcDd90E9ATjgGrtABRRRQAUUUUAFFFFA%20BRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAF%20FFFABRRRQAVGn+tk/D+VSVGn+tk/D+VAElRzf6v8R/OpKjm/1f4j+dAElFFFAFbUpDFpd3IuzKQu%20w3jK8A9R3FcL4Ehkv7wS6hbXDqYBIv2jRIraMNkcpIOT7e3Nd1qJQabdGSN5U8p90afeYYOQPc15%2098NbvTJtXnjsLEQyrA24xX0s6xgMMKwfgE/0NEfiYPY9KoophlQMVLqGA3EZ5A9aAH0U2ORJUDxu%20roejKcg06gArg5B4svfGM1q0txbaczEeZEo2rH2Kkj71d5RUyjdpp2sdO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ISACScAUAM8+P8AvfpR58f979KbBd291uNvPFLt+95bhsfXFTUAR+fH/e/Sjz4/736VJTXdY0Lu%20wVVGSScACgBvnx/3v0o8+P8AvfpSwzR3EYkhkSRD0ZGBB/Gn0AR+fH/e/Sjz4/736VJUU1xDbKGn%20ljiDHALsBk+nNAC+fH/e/Sjz4/736VJRQBH58f8Ae/Sjz4/736VJULXluiyM9xEqxHDkuMIff0oA%20d58f979Kcsiv905pVYOoZSCpGQQeDS0ARzf6l/pUlRzf6l/pUlAEcfWT/e/oKkqOPrJ/vf0FSUAF%20FFFABRRRQAUUUUAFZ2r6a2opb+WY1eK4jlLMP4VOSBWjRQAUUUUAFZVzYXlzrcNxJ5D2cGDHGWYM%20H7sRjBPpWrRQAUUUUAFZkVhdNrX2yd4VREaMCLOZASMbs+n9a06KACiiigBkqGWF0V2QspAZeq+4%20rL0PRZNHlus3HmxSldgKgEYXGTgda16KACiiud1XxS2meLNP0lrZWhuYXlecvgx46DGOcmgDY1G2%20N5YSwBInLjG2YEofrjmodHsJNPtpEkKAyStII4/uRg/wr7f41iaF47tr/Rhe6nGLORp5YliTdKSE%205LYAzgA8nGBVnWPGNlp/kJasl1PLLApVCdqpKwAbcBjpyB3otqB0VFc/B4usVt2kv5oo28+aNVh3%20y/LG20scLkY4z2HrTk8V2cbXX22WJPKumt4lh3SPJhQx+ULnODk4yAO9AE2vaK+qmF4vKLxq6Ylz%20gBhjcMdxjIrUgjMNvHGzlyihSx6tgdayn8XaJHJGhv0JkSN1KqxXa5whJAwATxzT28UaQtxNC16i%20tDv3sysF+QZcBsYJHcA5FGwGtRVPTNUtNXtftFjIZIt23JRkOfowBq5QBQnsHuNZtbtmUw26PtQ9%20d7YGfyz+dX6KKACiiigDEh0S4j19r4yxGMuz5AO4gqAFx0GMdeprboooAKQ8ilooAxdG0OTTr2S4%20kZAPL8qONGYqq7i3GenXpW1RRQAVnaxprajFAIzGrxTxybmH8KsCR+laNFAGJaaJNb6sJ3kjMEcs%20sseM7iZMZB7YFbdFFABUaf62T8P5VJUaf62T8P5UASVHN/q/xH86kqOb/V/iP50ASUUUUAFFFFAB%20RRRQAUUUUAFZVtazxeIru4+zKkEsSqJAwyxBPJHXv+latFABRRRQAh6HjNZOi2lxDPdz3dssEs7A%204RwV2jhQMe3c+ta9FABRRRQBW1CN5bKRI0LsRwquFP4E9DUOi2ktjpFvbzhBJGuCE6Dn+dX6KACi%20iigDH8SaVcatp5htpIwQCfLdchzjjnPGK1IFZLeNXILqoBx0zipKKACiisM+M9BWxkvDqKfZ47n7%20Iz7G4l/u4xn8elAEup2NxNqdtcWaMkqYVpS427N2SpXqa16Kz7nXdPtLma3nuNs0KxtIgRiVDttU%208DuaPIPM0KKgvLyHT7SW6uXKQxDc7BS2B9BzUysGUMOhGRQBiaXpt9Z6xcyO3+jSPI7ZYHeSRtwO%20owMg1uUUUAFFFFAGdpFjJbfaZ7hEW4uZS7BeQFHCj8h+taNFFABVHWbaW80i5t4FVpJEwAxwP/11%20eooAzPD9lPYaZ5N1zIZHbJILEE5yxHG76Vp0UUAFY3iLS5dSgjFsp87DRhsrtUMMHIP9Oa2aKAGR%20J5UKJnO1QM+tPoooAK5qbS7xr26ljskEZuo51TzF/eBVII9jznmulooApaRaPYaTbW0pBeNMHHSr%20tFFAEc3+pf6VJUc3+pf6VJQBHH1k/wB7+gqSo4+sn+9/QVJQAUUUUAFFFFABRRRQAUUUUAFFFFAB%20RRRQAUUUUAFFFFABRRRQAUUUUAFc74g8Iprt/wDazeSW8gt/IXYgO35w27nvxj8a6KigDjZvh3bu%20FaO7xIk08imSEOoWXGV25HTAwf0qaXwJH5wFtfNBbGS2lkhEKnc0ONuDxtBAGQBXWUUbActD4Mks%20rhbnT9UeC53z7pDCr5SV95UAngg9D+lObwYY757601F4rw3UlwkjRB1USIEZSuRn7oOeOa6eijyA%205AfDy2jtJbeG9lVJIIIclAT+6kMm78ST9KdD4BtoL64njuF8uVppEVrdXZGkHPzHIIGTxjvzmuto%20oAyPDeg/8I/YyW/2lp98hk+7tROANqrk7Rx0rXoooAKKKKACiiigAooooAKKKKACiiigAooooAKK%20KKACo0/1sn4fyqSo0/1sn4fyoAkqOb/V/iP51JUc3+r/ABH86AJKKKKACiiigAooooAKKKKACiii%20gAooooAKKKKACiiigAooooAKKKKACiiigAryd/BmuHTJrX7DlZJXuseYv+s847R17oc16xRQB5/F%20oPiL/hILyXzp45WkuGjuQV8to2XEan5s8HHG3gjOapW/hvWVjuXgsLi3ke3soyWuAWkdJcynO7oR%20k+9em0ULQDz+50TV30/WYksrs6nKs+29W62pKGcGMKN3BC8cgYx71KdF1r+3DJ5U/nm880Xnnfux%20bbMeVtz1z2x15zXd0UAeZxeGPEcGkNFbCaKaXTI1n3T7i8qy5Yfe6lMjPHpmnXfh3W20uD7PDeuy%203MkkVu7qiICBgMBJkLkEjDEj05r0qigBqbvLXfjdgZx606iigAooooAKKKKACiiigAooooAKKKKA%20CiiigAooooAjm/1L/SpKjm/1L/SpKAIhvRn+QkE5BBFLvf8A55N+YqSigCPe/wDzyb8xRvf/AJ5N%20+YqSigCPe/8Azyb8xRvf/nk35ipKKAI97/8APJvzFG9/+eTfmKkooAj3v/zyb8xRvf8A55N+YqSi%20gCPe/wDzyb8xRvf/AJ5N+YqSigCPe/8Azyb8xRvf/nk35ipKKAI97/8APJvzFG9/+eTfmKkooAj3%20v/zyb8xRvf8A55N+YqSigCPe/wDzyb8xRvf/AJ5N+YqSigCPe/8Azyb8xRvf/nk35ipKKAI97/8A%20PJvzFG9/+eTfmKkooAj3v/zyb8xRvf8A55N+YqSigCPe/wDzyb8xRvf/AJ5N+YqSigCPe/8Azyb8%20xRvf/nk35ipKKAI97/8APJvzFG9/+eTfmKkooAj3v/zyb8xRvf8A55N+YqSigCPe/wDzyb8xRvf/%20AJ5N+YqSigCPe/8Azyb8xRvf/nk35ipKKAI97/8APJvzFG9/+eTfmKkooAj3v/zyb8xRvf8A55N+%20YqSigCPe/wDzyb8xRvf/AJ5N+YqSigCPe/8Azyb8xRvf/nk35ipKKAI97/8APJvzFEYbe7MuM4wK%20kooAKZKCyfKMnIOPxp9FAEe9/wDnk35ije//ADyb8xUlFAEe9/8Ank35ije//PJvzFSUUAR73/55%20N+Yo3v8A88m/MVJRQBHvf/nk35ije/8Azyb8xUlFAEe9/wDnk35ije//ADyb8xUlFAEe9/8Ank35%20ije//PJvzFSUUAR73/55N+Yo3v8A88m/MVJRQBHvf/nk35ije/8Azyb8xUlFAEe9/wDnk35ije//%20ADyb8xUlFAEe9/8Ank35ije//PJvzFSUUAR73/55N+Yo3v8A88m/MVJRQBHvf/nk35ije/8Azyb8%20xUlFAEe9/wDnk35ije//ADyb8xUlFAEe9/8Ank35ije//PJvzFSUUAR73/55N+Yo3v8A88m/MVJR%20QBHvf/nk35ije/8Azyb8xUlFAEe9/wDnk35ije//ADyb8xUlFAEe9/8Ank35ije//PJvzFSUUAR7%203/55N+Yo3v8A88m/MVJRQBHvf/nk35ije/8Azyb8xUlFAEe9/wDnk35ije//ADyb8xUlFAEe9/8A%20nk35ije//PJvzFSUUAR73/55N+Yo3v8A88m/MVJRQBDIXdCojPPuKmoooAKKKKACiiigAooooAKK%20KKACiiigAooooAKKKKACiiigAooooAKKKwPGWrX2i6It1p4tgROizPPIFEcZPzFc9W9Bz16HpQBs%20Xl3FYWr3FwxWKMZdgpO0epx2qSKVJoklidXjcBlZTkMD0INcZ4I8U32teIPEGlX7ebHp8o8iR4gk%20hQk8MBgZ4HYVH8M7qRW8QaQSTb6ZqUkduD/BGSSFHsMH86AO6ooooAKKKKACiiigAooooAKKKKAC%20iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKK%20KKACiiigAooooAKKKKAIbu5SztJbiUP5cSl22KWOB1wByaqaHrth4j01b/S5jNbMxUOUK8jrwQDU%20+qf8gm8/64P/AOgmvF/DOuax4V+FdlrVjdQtaxXrRy2bwg+Ypbk785Bz0xQB7Tb6hbXVzPbRSgz2%205AljIIZc9Dg9j2PQ1Zrg/GF82neMfB+pWwZHu5ms5Rjl4328H6E5rvKACiiigAooooAKKKKACiii%20gAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKA%20CiiigAooooAKKKKACiiigArF8T+FrLxXZQW1+9xGsEyzo0D7WDDPsfWtqigDmbLwvZ+GNS1PWrEX%209zdXoHmQeYGEjdiMgYOT1JwMmpfBvh1/D+m3DXbI2oX9w93dMn3Q7HO0ew6fnXQ0UAFFFFABRRRQ%20AUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAB%20RRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBHPCtxbyQuSFkUoSOuCMVy9p8OdItNPttO827l02%203nFwlrI4KGQdycZI74zjNdZRQBy97o02v+MbC9uYmisNH3tEH6zzNgbgOyqBwe59q6iiigAooooA%20KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA/9k=" height="272" width="780" overflow="visible"> </image>
              </svg>
            </div>
          </div>
          <div class="fig"><span class="labelfig">FIGURA 5.&nbsp; </span><span class="textfig">Tiempo de viraje de los agregados. a)
            Tractor XTZ 150K 09 y grada Baldan de 24 discos. b) Tractor YTO X 1804 y
            la grada Baldan de 52 discos.</span></div>
          <p>Para los casos en estudio,
            el resultado de que estas magnitudes estén por debajo de lo 
            establecido, estuvo condicionado por los métodos de movimiento y viraje 
            utilizado para esta labor el cual fue circular con los discos en función
            de trabajo. Aunque para el caso de la grada mediana, existieron tiempos
            por encima de lo establecido en el rango, lo cual se debe a que se 
            violan los parámetros cinemáticos para el buen desarrollo del trabajo 
            del conjunto al no existir la demarcación de la franja de viraje al 
            final de la parcela, lo que dificulta la maniobra de viraje del 
            conjunto.</p>
        </article>
        <article class="section"><a id="id0xfffffffffc12fa80"><!-- named anchor --></a>
          <h4>Productividad de ambos agregados</h4>
          &nbsp;<a href="#content" class="boton_1">⌅</a>
          <p>Como se puede apreciar en la <span class="tooltip"><a href="#f6">Figura 6</a></span>, los valores de productividad (rendimiento técnico) por turno varían entre 13 a 17 ha·turno<sup>-1</sup> para el tractor XTZ 150K y la grada Baldan de 24 discos (<span class="tooltip"><a href="#f6">Figura 6a</a></span>) y de 17 a 34 ha·turno<sup>-1</sup> para el tractor YTO X 1804 y la grada Baldan de 52 discos (<span class="tooltip"><a href="#f6">Figura 6b</a></span>). Los valores medios obtenidos son de 14,5 y 25,5 ha·turno<sup>-1</sup> respectivamente.</p>
          <div id="f6" class="fig">
            <div class="zoom">
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M0J9f6/rU%20Gun9f1oYOo6a83xBl0CEo2n6jNHqlyFb/V+XwykdtzBD+dWfiJHbSeKfDS3unTajb4uS9tCu5nG1%20f4c/Nj0rYu/EXhTw/qQupHgiu9QjWWSeKEsWj6KzsBwvuak1PxP4Ztdftob6aI30GAkvlFhBv45c%20DCbuOpFFtkF92cTDoN5baboz6vot9e6LHLct/ZqKZJIQ5zDuTPOBkY7ZqlrPhnV38N6Qtzp99K0X%20n+VB5P2lYUZspG653BgvAYdOlemN4y0VNeGjtdH7WZBFxG2zeRkLvxt3Y7ZrcoA8j1rRNZutO1Dz%20NIuTLJp2np5MW5sskmXRW7kDqc8Uf2FdSPezaToV9p+mvd2JW0ljIYukmZJAuTgAYye9euUU763D%20pY8m0Hw5q0PxA+03cWoLcLeyyyXAt1ELwnO0ecTlgQQNuOPwr1miiktEkHW4UUUUAFFFFABRRRQA%20UUUUAFRr/rpPoKkqNf8AXSfQUASVGf8AXr/un+lSVGf9ev8Aun+lAElFFFABRRRQAUUUUAFFFFAB%20RRRQB5vq3hjW9S8U+JrrTL2/06VoYPszxtsiuGCcqT39MjpmsLW9Bvb7TdD8vR9St9PhtJIms47X%20z3iuN3JKsR15xJXstFK2lgueU3Xg6e+n1H+0tPubuSHQYkt5JQSTOA3AI4Ljjp/WqesaJfzwSNqu%20hajqU8+iwxWMkaljbTBPnDc/Kc8579K9iopvX+vX/MFp/Xp/keRXXhvUboNDNpt08Mk+lBxsIyqR%204k/LofSprbwjLp+pQ3FnpdxE8HiPETKrfu7THOPRCSa6fV/iHYWup22nacy3V099HaSgqwRdxw2G%20xgsPTNa1n4u0e/1h9MtrvfcqWUfIwRyv3grYwxHcA0731/rp/XzE10f9bnld94Y1eXSdJW6sdQa1%20jiuU8mG0EzpK0zFSUYjblSMP2rXvfB097Pqx1HTrm7li0OFLeWRSS06qehHBcHHT+tdpceLYbDXt%20UtL8JDZ2FrFOZuSzFyRtx+Axj1rR0TX7DxBavPp0rOsbmORXRkZG9CpAIpWuv68yr63/AK6M8zuf%20Dupma9aDSroale6NbiO7CkYkVf3yM/8AC7AY966LwTprQeIrq603SLvRtHNokbW1ymwyTg8sFz2H%20G7vW1L470CHVDp7XpNwJ1tsLExUyE42hsYyO/PFNHj7QCt2wupCto3lynyH+/u27Bx8zZ7DJp36/%201/WordP6/rQ4DWPDF4kutwWej3cSvqq3EssNtvE9sR91QTh8MclKsxeH7u20XRjqGmanqGjxXc8k%201g0IEgVhiM+Up+6Dk7e2a7l/HWgpo8epG8byJZTAiiJzIZB1XZjdkfSs/S/iLYT6PLqGokRRm9lt%20rdYUeRpVT+LaBnpyeOKlaK39dBvXX+uphf8ACKx6rrNgLrQbqPTotGkSOC4Yv5b+YSqsc/ewcgZ4%20/Cs2DQfEE2iGNLS8S6Ph+KAl8qxYTktHk9GKdvevUY9c06TRBrC3Uf8AZ5i83zycDb61zlh8RtPv%209ZvI0dU0y1slunuJVZGBLYwVIHtj1zT8v66/5iXf+uhgXOki48PTjRfDOp2Wni8gku7N8o93Go+d%20Ujzx2z03YrofAdhNaS6tNFYz6bpM8ytZWc67WjwuHbb/AAgntW9ouv2HiCCSXT5Wbym2yJJG0boe%20oyrAEZFc1o/jq61jXb63gTTXtrR5l8lJ2N3IEzgiPGDk+9F7P+vIVtDnr7wjeyeHtfubbT5kv7jV%20pC7CPMstr5gJCA/eB6471WGhX8HhWO2GlahcWU+olzFNZjdAuzAYW6sBgt2Y4B5xXa6B4p1O918a%20XrOmRWcs1p9shEUpdkTdjbICBtb/AOvTPFnxC0/w8l1b27rcalBszCVbYCxHBcDAODnGaSVlb+v6%200Kvd3/rX/hzA8D6PqllqHh77bZ3ca2tvexyNLHgR5kBQegyOn6VP42s5h4sisrBk/wCKihWzuVDf%20MgRtxkx/ublzXQHxtY2SXsmpyxqsN61pEtujyOxChsFcZzg84yPeo7vxL4UszZ+IJWiae8iKwTxw%20M8zRj73AG4Ad/SnfZ/1qLvYzviXbQRaToNt9ke4t01KFPs0ZwXUKw2j8Kwf7Avf7Mmli0W+TQG1Z%20ZzpO0iVoAmD+7z0387a7PWvFfheL7A2ozxThwt3blYml2DtIcA7Rz1OKsX/jbQtNvobS4vf3kqo4%20ZI2dFVzhSzAYUHtmhfr/AJf5A/0/z/zPPtQ8O38/hmURaZqEGntqZms7LyBK0EezHzwk8qWydo5H%20WnjRdZk0W0R9JnidNDvYBGiMcFmGwEEkhiOdueK9doo6W/rawJ63/re54yfD13Lpt4NJ8Pahp4Gj%20NBdpKhBupyVxtGTvIwTu96nu/DWsTeN/Plg1HzGnge1ngt1ZI4goyDKxymMHK9/xr1+infW4raWC%20iiikMKKKKACiiigAooooAKKKKAI/+Xgf7v8AWpKj/wCXgf7v9akoAjH+vb/dH9akqMf69v8AdH9a%20koAKKKKACiiigAooooAKKKKACiiigAooooAiuIRc20sLEhZEKEjqMjFef2fgTXd+kWd/daf/AGdp%20aTwRvCGEzo6FQxyMAjI4r0WiiwXOE8EeA7jw5qIuLyPTx5EHkRSW5kaSXn7zbjheAPlAxTdU8Gaz%20PcajLZXVsEu9RW6aF5HQSxeWEKsy/MOeeOtd7RRv/XzDY5rwf4am8PeFpNKu3iZjJK26AtjaxJHX%20nODXCaDa6leavoekRxs9rpH2lVmazlhIRkZQXLjGckDC59a9goo6gcDc+CtYPhnQdMt7m1Iso2ju%204WeRI5gRjO5cMcdccZqHTvA2uaHb6VJptxpzXdtay2U6zBzGUeQuHXAzkeleiUUdwPLrn4b67Nod%20lpn2yyeCOye3kjd5FRJCxYSKFxu6gYbgehrqNY8MXd/4S02xtpoIr/T2gmiL5MTSR44PfBrqaKAP%20Nr34fazq6ajc6jLpxvLi8gu0ijMghbYhUox4YcHqOa6bwx4fufDvh2eCOOyjvpXeULDv8oOfugli%20WPQZPeujooDrc8803wRrk9jqVnrk9krakM3N/bO7XDkEELhhtCAcYFbPhDwrf+HtQ1aa91RryO7l%20DRqVUdFA3NgDB4xgcYArqqKA3PPU8Ea7DPaWUdzp7aVaaqNQRmDCdgWLFTxjjJ571Vv/AIcarPod%20jbQvp7XFu85Ls8kbJvkLqVdee4ypGK9Moo6AcOfCviHTr5brS76wuJriyitLuS9RiQUz86gdc5PB%20xUWp+CdYuJdWs7W7sf7N1l0ku5JUbzoiAA2wDg52jGema72igDz648BamfGcWp2dza21ssySNLEz%20rK6AAFGTlWJxjdwa9Booo6WAKKKZK7JEzRxmRwOEBAyfqaAH0Vz7atqUujW13CtrHcSuYvJZWcF9%20xAAII44JJ9q31ztG7G7HOKAFooooAKKKKACiiigAooooAKjX/XSfQVJUa/66T6CgCSoz/r1/3T/S%20pKjP+vX/AHT/AEoAkooooAKKKKACiiigAooooAKKKKACiiigAooooA88/wCEH1yKWCyiudPbSrfV%20RqKMwYTkFtxU8Y4yee9L4c+HU+jeI47qZbCS2t5pZYpwZDO+7OAQTsXGeoHNehUULQHqcX4g8J6v%20f6pq15pt5DbtdwW8ceWZSfLcllJAyoIOMjmrXgfwvdeGY9SF19mH2u4Eyrbs7BflAIy/J5HXPNdV%20RQtAep5BJbagmtxaBZxSTWqa4t6GazkR1G/c25yNmB2IOTxXTS+DtYj8KtYWV3bpcHUpLthvdFlj%20ZydhZRuHBHIruaKFtb+un+QPf+vP/M850/wBrGkWtpNYzacL6y1Ca6ijYyGF0kUKVJOWBGODzTD4%20C8QHT44Gu7B/Mvbie5hDyRxSCXGDlcN8vPy5wfWvSaKAOPg8GTn4ZDwxcTxJOITH5seSu4NuB55x%200zWTe+BNe19tRl1m406OW5sI7aMW2/aGSTeN2Rkg459M+1ejUUPV3BaHLeC/C8vh+O8luobKCe5Z%20fktDIwCqMDLOSSev0rLtfBmsw6vbTyzaY0OmvPLZyRxGOWZpAcCTAwAM84613tFAeRx3gzQde0e/%20uptZGmzyXeXnu4pHaaRs/KuCAAoHAArO13wRrl0+tWum3On/AGDVp0uXM4bzUcbcqMDGDtHPavQq%20KAPPtW8Bahe2moIhsJWn1N7yNZWdSEZAvDryrDHbINPtvB/iHS4dJu7O+s7rU7S3ltpRd7zGUdtw%20ww5JXAHPWu+oo/r9AOHvvCuvpdzXWn3WmyTX9itnemeNlVCMjfGBn+8flPoKzdV+GmotPp66Td20%20S2tvFALss8c6bOCSFyrj0BxivSqKAGqCqAE7iBgn1p1FFABRRRQAUUUUAFFFFABRRRQAUUUUAFFF%20FAEf/LwP93+tSVH/AMvA/wB3+tSUARj/AF7f7o/rUlRj/Xt/uj+tSUAFFFFABWBqFze23iWBTdYt%20XtpmWFUzgqB8x7k89K36Ywj81CwTzMHbnGcd8UDRg+FLy4uVnW4uHlISNxubd94cnPbP93tW+zMP%20uru/HFR2wtgri1EIG47hHjr7471NQIj3yf8APP8A8eo3yf8APP8A8eqSigCPfJ/zz/8AHqN8n/PP%20/wAeqSigCPfJ/wA8/wDx6jfJ/wA8/wDx6pKKAI98n/PP/wAeo3yf88//AB6pKKAI98n/ADz/APHq%20N8n/ADz/APHqkooAj3yf88//AB6jfJ/zz/8AHqkooAj3yf8APP8A8eo3yf8APP8A8eqSigCPfJ/z%20z/8AHqN8n/PP/wAeqSigCPfJ/wA8/wDx6jfJ/wA8/wDx6pKKAI98n/PP/wAeo3yf88//AB6pKKAI%2098n/ADz/APHqN8n/ADz/APHqkooAj3yf88//AB6jfJ/zz/8AHqkooAj3yf8APP8A8eo3yf8APP8A%208eqSo5J4oRmWREH+0wFABvk/55/+PUb5P+ef/j1Un17T0OFuBI3pEC5/Sm/2tNL/AMe2m3T+7gRj%209TV+zl2I549xYtLSFLZQshW2kaRQWHJbPX/vo1e3yf8APP8A8ermNG1HxHP4quYNQtRHYKDtO3hf%20TDd66uoNpwcGk2nonprv+pHvk/55/wDj1G+T/nn/AOPVJRQQR75P+ef/AI9Rvk/55/8Aj1SUUAR7%205P8Ann/49Rvk/wCef/j1SUUAR75P+ef/AI9Rvk/55/8Aj1SUUAFRr/rpPoKkqNf9dJ9BQBJUZ/16%20/wC6f6VJUZ/16/7p/pQBJRRRQAUUUUAQ3l1HZWktzNnZEpY4GTXKweIb68h2rcxJIZpiWRQ21UTc%20q8/qfauwqpNpVlPGyS20TK0hkII6t3NAD7C4a70+3nddrSxq5HoSM1J5h/55v+VPACgAAADgAUtD%20BEfmn/nm/wCQo80/883/ACFSUUAR+af+eb/kKPNP/PN/yFSUUAR+af8Anm/5CjzT/wA83/IVJRQB%20H5p/55v+Qo80/wDPN/yFSUUAR+af+eb/AJCjzT/zzf8AIVJRQBH5p/55v+Qo80/883/IVJRQBH5p%20/wCeb/kKPNP/ADzf8hUlFAEfmn/nm/5CjzT/AM83/IVJRQBH5p/55v8AkKPNP/PN/wAhUlFAEfmn%20/nm/5CjzT/zzf8hUlFAEfmn/AJ5v+Qo80/8APN/yFSUUAR+af+eb/kKPNP8Azzf8hUlFAEfmn/nm%20/wCQo80/883/ACFSUUAR+af+eb/kKPNP/PN/yFPJABJ4FcGbpNPutSGlvLLb3MKbZbQvPsJLbnfq%20Q/8A9agdjufNP/PN/wAhR5p/55v+QrN8Kz/afC2mSZkObZMmUEMeOpzzWtTas7CI/NP/ADzf8hR5%20p/55v+QqSikBH5p/55v+Qo80/wDPN/yFSUUAR+af+eb/AJCjzT/zzf8AIVJRQBH5p/55v+VPHIpa%20KAI/+Xgf7v8AWpKj/wCXgf7v9akoAjH+vb/dH9akqMf69v8AdH9akoAKKKKACuf1HSpX8Sw3dukh%20Z7WaNpCxKocDaB6c5roKptqtouqppvmg3bIZPLAzhR6+lA0Zfha0uLRJlmhaNNka7pIwrs4HzdOo%20z0JreYMfutj8M1XtNRt76W4jt33tbv5cnHAbGce9WqBEeyT/AJ6D/vmjZJ/z0H/fNSUUAR7JP+eg%20/wC+aNkn/PQf981JRQBHsk/56D/vmjZJ/wA9B/3zUlFAEeyT/noP++aNkn/PQf8AfNSUUAR7ZP8A%20noP++aNsnTzRn/drL8TwmXR3YSyp5bo2EbG75hwfaq7i3Pim3a1aMy5cXAQnzAdvG7/Y6ceuKANz%20ZJ/z0H/fNGyT/noP++akooAj2Sf89B/3zRsk/wCeg/75qSigCPZJ/wA9B/3zRsk/56D/AL5pzMqD%20LMAPUmqc2s6fAcPdxZ9Fbcf0pqLeyE5JblrZJ/z0H/fNGyT/AJ6D/vmqH9trJ/x7WV5P7iPaPzOK%20PtOrTf6uyghHrNLn9AKr2b6k866F/ZJ/z0H/AHzRtk/56D/vmqH2LU5v9dqKxj0hiA/U5o/sKCT/%20AI+Z7q49RJKcfkKOWK3Yc0uiJ572C2BM17CmPUiqp1yBjiB5rg9vKgJz+PSrcOl2VvzFawqfXYCf%20zq0AAMAYHtR7iD32ZX23Upf+PewdR/enZV/QZNOWHWZf9Zc2sA9I4yx/M1qUUc9tkHL3ZlHRpZf+%20PjU7uT2UhB+Qp0eg2UZz5Mbt6yLvP6mtOij2ku4+SPYhSAxDEZRB6KgFO2Sf89B/3zUlFQUR7JP+%20eg/75o2Sf89B/wB81JRQBHsk/wCeg/75o2Sf89B/3zUlFAEeyT/noP8AvmjZJ/z0H/fNSUUAR7JP%20+eg/75o2Sf8APQf981JRQBHsk/56D/vmjbJ/z0H/AHzUlFABUa/66T6CpKjX/XSfQUASVGf9ev8A%20un+lSVGf9ev+6f6UASUUUUAFFFFADJd5ifyiokwdpYZAPbNc4+q6ssTxKvmSwXBSZ44hlIwu4HaW%20xz256e9dHLEk8TxSKGRwVYHuKpHQtPMAi8g7QxbO9txJGOTnJ44oAtWk63NpDNG+9JEDBsYzkdcU%207zR/df8A75pyIsaKkahUUYCgYAFOoYIj80f3X/75NHmj+6//AHyakooAj80f3X/75NHmj+6//fJq%20SigCPzR/df8A75NHmj+6/wD3yakooAj80f3X/wC+TR5o/uv/AN8mpKKAI/NH91/++TR5o/uv/wB8%20mpKKAI/NH91/++TR5o/uv/3yakooAj80f3X/AO+TR5o/uv8A98mpKKAI/NH91/8Avk0eaP7r/wDf%20JqSigCPzR/df/vk0eaP7r/8AfJqSigCPzR/df/vk0eaP7r/98mpKKAI/NH91/wDvk0eaP7r/APfJ%20qSigCPzR/df/AL5NHmj+6/8A3yakooAj80f3X/75NHmj+6//AHyakqpd6naWXE86qx6IOWP4Dmmk%203ohNpbk/mj+6/wD3yaqrdWFrc/Zl8qKebL+WFAZ/fHeoP7Qv7zixsjGh/wCWtydv5KOaypPBP2rx%20FBrF3fu80ZDMqptBI6Y54FOUXEqk4Sb5nZWfTr0Xz7nSq6qoVY2AHAAXpS+aP7r/APfJqSipER+a%20P7r/APfJo80f3X/75NSUUAR+aP7r/wDfJo80f3X/AO+TUlFAEfmj+6//AHyaPNH91/8Avk1JRQBH%205o/uv/3yaeORS0UAR/8ALwP93+tSVH/y8D/d/rUlAEY/17f7o/rUlRj/AF7f7o/rUlAGXrHiCz0Q%20ItwJ5ZnBZILeFpZGAxkhVHTmodJ8VWOrziBI7y1nbOyK7tnhZwOpGRg1Hr1iVm/tGS+vo7dECSRR%20XPkog3cyE5HQZz61qadqFnqdmlxp91FdQfdEsbhwSOvI70IGWqy7zSXudWgu45FiCQyxsVHz5YAA%20j6Y71qVmya1EmtppiwzNI0bSF9uF4xwCep5oAi0PRZNHkugbjzYpWUoNoBGFA5x3rVZN38TD6GqW%20n6mbyeeCW3aCaHaWUsG4bkcjvx0q8WA6kD60AM8r/bf86PK/23/Onb1/vD86N6/3h+dADfK/23/O%20jyv9t/zp29f7w/Ojev8AeH50AN8r/bf86PK/23/Onb1/vD86N6/3h+dADfK/23/Ojyv9t/zp29f7%20w/Ojev8AeH50ARTeXBC8s0xSNBlmZuAKrw31hPbi6ivYzE3Ak8wDP40urafb6xpk9jO5WOZcEqeR%20WfoXhXTdEshAAtw+SxklAJ/LtTVr6lNR5L396+3S3qWX1mwB2x3Mkzf3YgXP6Cm/2hcS/wDHtp94%20wPRpWEY/XmtNPKjXamxR6DAp29f7w/OqvFbIytJ9TL2axN0NvbD3YyEfyFOXSrt/+PjVbhvURqqD%20/GtLev8AeH50b1/vD86Od9A5F1M0eHrEsGlWSZh3lkZv5mrcVjBbjEKCMf7IAqfev94fnRvX+8Pz%20pOUnuxqMVshvlf7b/nR5X+2/507ev94fnRvX+8PzqShvlf7b/nR5X+2/507ev94fnRvX+8PzoAb5%20X+2/50eV/tv+dO3r/eH50b1/vD86AG+V/tv+dHlf7b/nTt6/3h+dG9f7w/OgBvlf7b/nR5X+2/50%207ev94fnRvX+8PzoAb5X+2/50eV/tv+dO3r/eH50b1/vD86AG+V/tv+dHlf7b/nTt6/3h+dG9f7w/%20OgBvlf7b/nR5X+2/507ev94fnRvX+8PzoAb5X+2/50eV/tv+dO3r/eH50b1/vD86AG+V/tv+dHlf%207b/nTt6/3h+dG9f7w/OgBvlf7b/nR5X+2/507ev94fnRvX+8PzoAdUa/66T6CpKjX/XSfQUASVGf%209ev+6f6VJUZ/16/7p/pQBJRRSMdqknOAM8DJoAWiuabxRqbTr9n8K6pLbNjEzPFGcdzsZsj6Gt6y%20uxfWkdwsU0QcfcmQo6+xFAEkvmeU/k7fMwdu7pntmudOv365tylsLtZJAxKtjaibvu5yM9uenPtX%20RSxLPE8UgJVwQcHHH1rPbw9YtDsZZS24sZDK28kjBy2c4xx9KALllci8soLgLtEsavj0yM0/zkHr%20/wB8mnRxrFGscahUUAKB2FOoYIj85P8Aa/75NHnJ/tf98mpKKAI/OT/a/wC+TR5yf7X/AHyakooA%20j85P9r/vk0ecn+1/3yakooAj85P9r/vk0ecn+1/3yakooAj85P8Aa/75NHnJ/tf98mpKKAI/OT/a%20/wC+TR5yf7X/AHyakooAj85P9r/vk0ecn+1/3yakooAj85P9r/vk0ecn+1/3yakooAj85P8Aa/75%20NHnJ/tf98mpKKAI/OT/a/wC+TR5yf7X/AHyakprusalnYKo6knAoAb5yf7X/AHyaPOT/AGv++TVB%209dgZzHZRy3kg7Qr8o+rdKb5WrXv+tljsoz/DEN7/AJngfhV8j66Ec66al2e/trVN9xKsS+r8VRbW%202n40+zmuM9JGBSP8z1qe30WzgfzGQzTf89Jjvb9elX6LxXmFpPyMf7LeXf8Ax/XzRof+WVshUf8A%20fXWrVpZWNlzbwBWPVypLH8TzV6ik5t6DUEtSPzk/2v8Avk0ecn+1/wB8mpKKkoj85P8Aa/75NHnJ%20/tf98mpKKAI/OT/a/wC+TR5yf7X/AHyakooAj85P9r/vk0ecn+1/3yakooAj85P9r/vk0ecn+1/3%20yakooAj85P8Aa/75NPHIpaKAI/8Al4H+7/WpKj/5eB/u/wBakoAjH+vb/dH9akqMf69v90f1qSgD%20B8apaSeF7lb77T5e5Nv2aMPJv3DbhTweccHiqXgO28izvZJIdRS4mmDSte2iW28hQBtReAMfrVnx%205A9z4TuY44beYloyY7ibykYBhnLZGOOnPWq/gOO2jsLoWumx2CmUZVNRF5u467gTj6ULqD6HVVSu%20dO8/Ure8EpR4I3RVxkHdjn8MVdrDv9WvbPXUg8qIWZtpZQc5d2UA/gOaBot6Rpj6XDIklwLhpG3t%20IY9rMx6ljnmtAqrfeAP1FY+g6lc3jyR3TI7CKKYMq7QA4J2/hjrWuz7ezH6DNDEg8tP7i/lR5af3%20F/Km+aP7j/8AfNHmj+4//fNADvLT+4v5UeWn9xfypvmj+4//AHzR5o/uP/3zQA7y0/uL+VHlp/cX%208qb5o/uP/wB80eaP7j/980AO8tP7i/lR5af3F/Km+aP7j/8AfNHmj+4//fNADvLT+4v5UeWn9xfy%20pvmj+4//AHzR5o/uP/3zQA7y0/uL+VHlp/cX8qb5o/uP/wB80eaP7j/980AO8tP7i/lR5af3F/Km%20+aP7j/8AfNHmj+4//fNADvLT+4v5UeWn9xfypvmj+4//AHzR5o/uP/3zQA7y0/uL+VHlp/cX8qb5%20o/uP/wB80eaP7j/980AO8tP7i/lR5af3F/Km+aP7j/8AfNHmj+4//fNADvLT+4v5UeWn9xfypvmj%20+4//AHzR5o/uP/3zQA7y0/uL+VHlp/cX8qb5o/uP/wB80eaP7j/980AO8tP7i/lR5af3F/Km+aP7%20j/8AfNHmj+4//fNADvLT+4v5UeWn9xfypvmj+4//AHzR5o/uP/3zQA7y0/uL+VHlp/cX8qb5o/uP%20/wB80eaP7j/980AO8tP7i/lR5af3F/Km+aP7j/8AfNHmj+4//fNADvLT+4v5UeWn9xfypvmj+4//%20AHzR5o/uP/3zQA7y0/uL+VHlp/cX8qb5o/uP/wB80eaP7j/980AO8tP7i/lR5af3F/Km+aP7j/8A%20fNHmj+4//fNAElRr/rpPoKkqNf8AXSfQUASVGf8AXr/un+lSVGf9ev8Aun+lAElRXVtHeWstvMCY%205VKMASDg+46VLRQByNhqOg+GNXfS3eOG4YpGrjfISMDHmtjarE56nnj1rrq8219rWfxrPClhK6rL%20D9pQ6ulvFO2AVLQnlsDH1xXpNG6uGzsMl3+U/lFQ+DtLdM+9c4dY1NrYtAnnxrOyG5ih4MarksFL%20f3uOvOK6KaFLiB4ZQSkilWAJGQfcVSGg2ItUt9knlR/cHnP8oxjAOemO1AFu1mW5tIpo3DrIgYMB%20jOR1xTvOjH8Qp0caRRrHGoVFGFUDAAp1DBEfnx/3hR58f94VJRQBH58f94UefH/eFSUUAR+fH/eF%20Hnx/3hUlFAEfnx/3hR58f94VJRQBH58f94UefH/eFPJCjJIA96AQeQc0AM8+P+8KPPj/ALwqSigC%20Pz4/7wo8+P8AvCpKKAI/Pj/vCjz4/wC8Khu9StLL/j4nRWPRc5Y/h1qp/aN9d8WNkUQ/8tbk7R+C%209apQb1Jc0tDR86P+8Kp3GuWMDFFl86T/AJ5wje36VH/Y8tzzqV5LOP8AnnH+7T8hyfzq9b2kFomy%203hSNfRVxTtFb6ivJ+Rm/bNSvP9VHFZRn+KU7n/75HA/GlTSbV2D308l44/56t8o+ijiteij2j6aB%20yLrqQo8EahY9qqOgUYFO8+P+8KkoqCyPz4/7wo8+P+8KkooAj8+P+8KPPj/vCpKKAI/Pj/vCjz4/%207wqSigCPz4/7wo8+P+8KkooAj8+P+8KPPj/vCpKKAI/Pj/vCjz4/7wqSigCPz4/7wo8+P+8KkooA%20j8+P+8KeDkZpaKAI/wDl4H+7/WpKj/5eB/u/1qSgCMf69v8AdH9akqMf69v90f1qSgDlviBqUNh4%20f8uaF5PtMixqfsP2tFOR95On0qr8OIEitNSdI5F8y4BJOnfYkOFA+WPr9Se9dD4g1ObSNHlu7a0+%201zKVVIt20EkgZJ7AZ61neDfE9z4ns7qW7sVs3gl8ooshfnHIOVHIoXUH0OjqCSzgmuY55IlaWNWV%20WPYN1H44qeqWsu8ejXjRGQOIm2mIZYHHahgiSy06109WW1iEYY5OCT9Ovb2qzWH4Wdnspwzl0WbC%20EMWTGB91jyRnPXvmtpmYfdTd+NDBDqKj3yf88v8Ax4Ub5P8Anl/48KAJKKj3yf8APL/x4Ub5P+eX%20/jwoAkoqPfJ/zy/8eFG+T/nl/wCPCgCSio98n/PL/wAeFG+T/nl/48KAJKKj3yf88v8Ax4Ub5P8A%20nl/48KAJKKj3yf8APL/x4Ub5P+eX/jwoAkoqPfJ/zy/8eFG+T/nl/wCPCgCSio98n/PL/wAeFG+T%20/nl/48KAJKKj3yf88v8Ax4Ub5P8Anl/48KAJKKj3yf8APL/x4Ub5P+eX/jwoAkoqPfJ/zy/8eFG+%20T/nl/wCPCgCSio98n/PL/wAeFG+T/nl/48KAJKKj3yf88v8Ax4Ub5P8Anl/48KAJKKj3yf8APL/x%204Ub5P+eX/jwoAkoqPfJ/zy/8eFG+T/nl/wCPCgCSio98n/PL/wAeFG+T/nl/48KAJKKj3yf88v8A%20x4Ub5P8Anl/48KAJKKj3yf8APL/x4Ub5P+eX/jwoAkoqPfJ/zy/8eFG+T/nn/wCPCgCSo1/10n0F%20SVGv+uk+goAkqM/69f8AdP8ASpKjP+vX/dP9KAJKKKKAPMNdura08d3QuZ/DEzSSw7I76BzPFwBg%20FUxk9Rk+len15pqf9uaxr1wr6X4iS2W5jXyVuIFt2UEHdnG7HGeCfwr0uhfCge4yTeIm8oKZMHaG%20OBn3rnT4hvcGJEtnlEkiiYBvLcIm5sDOc54610M8K3EEkTFgrqVJU4OD6HtWcPDtmLOK23T7Iv8A%20VnzTuQEYIB9COtAF6zuReWUFwo2iVFfB7ZGak82P++v50scaxRrHGoVEAVQOwFLgelDBDfNj/vr+%20dHmx/wB9fzp2B6UYHpQA3zY/76/nR5sf99fzp2B6UYHpQA3zY/76/nR5sf8AfX86dgelGB6UAN82%20P++v50ebH/fX86dgelGB6UAcdNFbWs/iZrnN6gWGULcneC+04AHQDOOBW/oVjb6No1tZRMoEa5bn%20qx5Y/mTU8+p2FveJaz3MKXEgysbMASKgk1y2LmOzSS8kHaFcgfVulUot7IUpJbmh5sf99fzqOa8t%207dC808aKO7MBVHytVvP9ZJFYxn+GMb5PzPAqW30Szhk810M83/PSY7z+vSnyxW7J5m9kQnXRcErp%201tJcH/no3yJ+Z6/hTfs15ef8fuoLEh/5ZW3y/mx5rXwPSjA9KOe3woOS/wATKVpY2FlzAkQfu5OW%20P4nmrfmx/wB9fzp2B6UYHpUtt6spJLYb5sf99fzo82P++v507A9KMD0pDG+bH/fX86PNj/vr+dOw%20PSjA9KAG+bH/AH1/OjzY/wC+v507A9KMD0oAb5sf99fzo82P++v507A9KMD0oAb5sf8AfX86PNj/%20AL6/nTsD0owPSgBvmx/31/OjzY/76/nTsD0owPSgBvmx/wB9fzo82P8Avr+dOwPSjA9KAG+bH/fX%2086PNj/vr+dOwPSjA9KAG+bH/AH1/OjzY/wC+v507A9KMD0oAb5sf99fzo82P++v507A9KMD0oAb5%20sf8AfX86d1owPSloAj/5eB/u/wBakqP/AJeB/u/1qSgCMf69v90f1qSox/r2/wB0f1qSgDkfHWs6%20hbQx6bpUMv2m5Xf50V1FE6KGG7G89cdx0zTvBl60aS21/cXoupXzFHf3sM8jKByV8voPrVrxlqOh%206fp0X/CRWRu7aWQRqotjMAT+HFN8IN4fnhuZPD2lizjR9jObQwbzgHjIBIoXUH0OkpOlLVHWYJrn%20RruG2JEzxELj1oYFuOSOVN0Tq6+qnIp9Y/hyGWC1nDwtFGZcxb4xG7DAyWAx3zWswY/dYD8M0AOo%20qPbJ/wA9B/3zRtk/56D/AL5oAkoqPbJ/z0H/AHzRtk/56D/vmgCSio9sn/PQf980bZP+eg/75oAk%20oqPbJ/z0H/fNG2T/AJ6D/vmgCSio9sn/AD0H/fNG2T/noP8AvmgCSio9sn/PQf8AfNG2T/noP++a%20AJKKj2yf89B/3zRtk/56D/vmgCSio9sn/PQf980bZP8AnoP++aAJKKj2yf8APQf980bZP+eg/wC+%20aAJKKj2yf89B/wB80bZP+eg/75oAkoqPbJ/z0H/fNG2T/noP++aAJKKj2yf89B/3zRtk/wCeg/75%20oAkoqPbJ/wA9B/3zRtk/56D/AL5oAkoqPbJ/z0H/AHzRtk/56D/vmgCSio9sn/PQf980bZP+eg/7%205oAkoqPbJ/z0H/fNG2T/AJ6D/vmgCSio9sn/AD0H/fNG2T/noP8AvmgCSio9sn/PQf8AfNG2T/no%20P++aAJKKj2yf89B/3zRtk/56D/vmgCSo1/10n0FSVGv+uk+goAkqM/69f90/0qSoz/r1/wB0/wBK%20AJKKKZMzJC7INzhSVB7mgDjte1nxbaeIFi07T4ZNNMqRhhbvI5BAJYkEADqPbHPWu0rxqXUV1DxA%20b/WJ9E8+SSMiF9VuYnhAwNoj2jnvgjqa9dsbyLULOO5g3+VIMrvQoSPXB5oWwPcllfyonfYz7QTt%20UZJ9hXPL4onfTYLj7F5UstxJEyMWcRBM5LbQfSukrMGhwpam3huLmJWkeRijjLbySQeOnNAF+CQT%20QRyBlYOobKnIP0o86MfxiiCCO2t44IV2xxqFUegFSUMER+dH/fFHnR/3xUlFAEfnR/3xR50f98VJ%20RQBH50f98UedH/fFSUUAR+dH/fFHnR/3xUlFAHM6j4R03U/EMWrTTvvTG6IH5Xx0roI3giQJHsRR%200CjAqaijYuU5TspO9lZeSI/Oj/vijzo/74qSiggj86P++KPOj/vipKKAI/Oj/vijzo/74qSigCPz%20o/74o86P++KkooAj86P++KPOj/vipKKAI/Oj/vijzo/74qSigCPzo/74o86P++KkooAj86P++KPO%20j/vipKKAI/Oj/vijzo/74qSigCPzo/74o86P++KkooAj86P++KPOj/vipKKAI/Oj/vijzo/74qSi%20gCPzo/74o86P++KkooAj86P++KeDmlooAj/5eB/u/wBakqP/AJeB/u/1qSgCMf69v90f1qSox/r2%20/wB0f1qSgDhfiGJlkgkt9NvnkER/0+2nlQQjcPlKxgk5+laXga5mubG7abX49YIm2gqm0wcfcOeS%20fc81pax4a07XpY21JJpo0UqIfOZYzznJUEZPvVyw0uy0uNo7C0gtkY5YRIF3H1OOpoWgMtUUVBe2%20xvLKW3Erw+Yu3emMj6UANsdQt9RheW1k3ortGWxjkcGrNZmhaXLpNvPDJMsgeZnTaoXAPStFkV+u%20fwOKAHUVH5Ke/wD30aPJT3/76NAElFR+Snv/AN9GjyU9/wDvo0ASUVH5Ke//AH0aPJT3/wC+jQBJ%20RUfkp7/99GjyU9/++jQBJRUfkp7/APfRo8lPf/vo0ASUVH5Ke/8A30aPJT3/AO+jQBJRUfkp7/8A%20fRo8lPf/AL6NAElFR+Snv/30aPJT3/76NAElFR+Snv8A99GjyU9/++jQBJRUfkp7/wDfRo8lPf8A%2076NAElFR+Snv/wB9GjyU9/8Avo0ASUVH5Ke//fRo8lPf/vo0ASUVH5Ke/wD30aPJT3/76NAElFR+%20Snv/AN9GjyU9/wDvo0ASUVH5Ke//AH0aPJT3/wC+jQBJRUfkp7/99GjyU9/++jQBJRUfkp7/APfR%20o8lPf/vo0ASUVH5Ke/8A30aPJT3/AO+jQBJRUfkp7/8AfRo8lPf/AL6NAElRr/rpPoKkqNf9dJ9B%20QBJUZ/16/wC6f6VJUZ/16/7p/pQBJSMwVSzEAAZJPalqO4DG2lCIrsUOFfoTjofahgcgni+W8v5F%20g8JahOVmVEuQsZjYcfPvz07jGa7OvGIvstrr6rrEv9h3DSxKY9F27GbP3WKux29MgqBXs9PoHUZL%20IIYnkYMQgJIUZJ+grCj8UGaximjsXEsryqIpHClRHncSfXjpXQVjN4bh+zrHHcTI6yyyCQYJ/eZ3%20DpjHNIDUtrhLq1injzslQOufQjNO81P76/nSQQpbW8cMQwkahVHsKfgegoYIb5sf99fzo82P++v5%2007aPQUbR6CgBvmx/31/OjzY/76/nTto9BRtHoKAG+bH/AH1/OjzY/wC+v507aPQUbR6CgBvmx/31%20/OjzY/76/nTto9BRtHoKAG+bH/fX86PNj/vr+dO2j0FG0egoAb5sf99fzo82P++v507aPQUbR6Cg%20Bvmx/wB9fzo82P8Avr+dO2j0FG0egoAb5sf99fzo82P++v507aPQUbR6CgBvmx/31/OjzY/76/nT%20to9BRtHoKAG+bH/fX86PNj/vr+dO2j0FG0egoAb5sf8AfX86PNj/AL6/nTto9BRtHoKAG+bH/fX8%206PNj/vr+dO2j0FG0egoAb5sf99fzo82P++v507aPQUbR6CgBvmx/31/OjzY/76/nTto9BRtHoKAG%20+bH/AH1/OjzY/wC+v507aPQUbR6CgBvmx/31/OjzY/76/nTto9BRtHoKAG+bH/fX86PNj/vr+dO2%20j0FG0egoAb5sf99fzo82P++v507aPQUbR6CgBvmx/wB9fzp3WjaPQUtAEf8Ay8D/AHf61JUf/LwP%2093+tSUARj/Xt/uj+tSVGP9e3+6P61JQAUUUUAFMmZ1hdokDuB8qk4yfrT6iuYftFtJD5jx71K70O%20GXPce9AFXStQe/ScSRorwSmJmjbcjEAZwcDpnH1FXiQOpAqrptgum2aW0crvGnC7gBgfgBVkorfe%20UH6igA3r/eH50b1/vD86Tyk/uL+VHlJ/cX8qAF3r/eH50b1/vD86Tyk/uL+VHlJ/cX8qAF3r/eH5%200b1/vD86Tyk/uL+VHlJ/cX8qAF3r/eH50b1/vD86Tyk/uL+VHlJ/cX8qAF3r/eH50b1/vD86Tyk/%20uL+VHlJ/cX8qAF3r/eH50b1/vD86Tyk/uL+VHlJ/cX8qAF3r/eH50b1/vD86Tyk/uL+VHlJ/cX8q%20AF3r/eH50b1/vD86Tyk/uL+VHlJ/cX8qAF3r/eH50b1/vD86Tyk/uL+VHlJ/cX8qAF3r/eH50b1/%20vD86Tyk/uL+VHlJ/cX8qAF3r/eH50b1/vD86Tyk/uL+VHlJ/cX8qAF3r/eH50b1/vD86Tyk/uL+V%20HlJ/cX8qAF3r/eH50b1/vD86Tyk/uL+VHlJ/cX8qAF3r/eH50b1/vD86Tyk/uL+VHlJ/cX8qAF3r%20/eH50b1/vD86Tyk/uL+VHlJ/cX8qAF3r/eH50b1/vD86Tyk/uL+VHlJ/cX8qAF3r/eH50b1/vD86%20Tyk/uL+VHlJ/cX8qAF3r/eH50b1/vD86Tyk/uL+VHlJ/cX8qAF3r/eH50b1/vD86Tyk/uL+VHlp/%20cX8qAH1Gv+uk+gqSo1/10n0FAElRn/Xr/un+lSVGf9ev+6f6UASU2RFljZHGVYEEHuKdRQBQ0/Q9%20M0lAun6fbW4ChcxxAEgep6n8av0UUAFZmtas2lrb7Iw7TOVJbdtQAEknaCe1adVb6yN7GEFxNDjO%20fKIG4EYIOQaAJ4ZBLCkgKsGUHKnIP0pdy/3h+dNt4I7W3jghXbHGoVR6AU7y0/uL+VDBBvX+8Pzo%203r/eH50nlJ/cX8qPKT+4v5UALvX+8Pzo3r/eH50nlJ/cX8qPKT+4v5UALvX+8Pzo3r/eH50nlJ/c%20X8qPKT+4v5UALvX+8Pzo3r/eH50nlJ/cX8qPKT+4v5UALvX+8Pzo3r/eH50nlJ/cX8qPKT+4v5UA%20LvX+8Pzo3r/eH50nlJ/cX8qPKT+4v5UALvX+8Pzo3r/eH50nlJ/cX8qPKT+4v5UALvX+8Pzo3r/e%20H50nlJ/cX8qPKT+4v5UALvX+8Pzo3r/eH50nlJ/cX8qPKT+4v5UALvX+8Pzo3r/eH50nlJ/cX8qP%20KT+4v5UALvX+8Pzo3r/eH50nlJ/cX8qPKT+4v5UALvX+8Pzo3r/eH50nlJ/cX8qPKT+4v5UALvX+%208Pzo3r/eH50nlJ/cX8qPKT+4v5UALvX+8Pzo3r/eH50nlJ/cX8qPKT+4v5UALvX+8Pzo3r/eH50n%20lJ/cX8qPKT+4v5UALvX+8Pzo3r/eH50nlJ/cX8qPKT+4v5UALvX+8Pzo3r/eH50nlJ/cX8qPKT+4%20v5UALvX+8Pzo3r/eH50nlJ/cX8qPKT+4v5UALvX+8Pzp1M8pP7i/lTqAGf8ALwP93+tSVH/y8D/d%20/rUlAEY/17f7o/rUlRj/AF7f7o/rUlABRRRQAVT1a8bT9KubpFDPEhYA9CauUyaKOeF4pUDxuCrK%20ehFDAoaPeT3P2qG5ZXkt5Am9V2hgVDdPxrQZ9vZj9BmobOygsYTFbptUncckkk+5PJqxQBH5o/uv%20/wB8mjzR/df/AL5NSUUAR+aP7r/98mjzR/df/vk1JRQBH5o/uv8A98mjzR/df/vk1JRQBH5o/uv/%20AN8mjzR/df8A75NSVnSa5ZQsyu7ArcC3PyHhyM/lz1oAu+aP7r/98mjzR/df/vk1UstZstQu7i1t%20pg01uxWRMYIwcVMdRsw5Q3duGDbSDIuc+nXrQBL5o/uv/wB8mjzR/df/AL5NQ3Op2lqkzSzpmFS7%20opywH061YRg6Ky9GGRQA3zR/df8A75NHmj+6/wD3yakooAj80f3X/wC+TR5o/uv/AN8mpKKAI/NH%2091/++TR5o/uv/wB8mpKKAI/NH91/++TR5o/uv/3yakooAj80f3X/AO+TR5o/uv8A98mpKKAI/NH9%201/8Avk0eaP7r/wDfJqSigCPzR/df/vk0eaP7r/8AfJqSq9xew2ssEcxIadiiccZwTye3AoAk80f3%20X/75NHmj+6//AHyay28U6WkMEslwUSd2jQspHK9c+nWr8t/bQXUFtJMizTgmNSeWA60AS+aP7r/9%208mjzR/df/vk1Xl1S2jhjkjljlEkgjXZIvJ+ue1Pkv7aK4S3aVDM7BRGGG4fUdaAJfNH91/8Avk0e%20aP7r/wDfJqNtQtF37rqAeWcPmQfKfQ+lTqyuoZSGUjIIOQaAGeaP7r/98mjzR/df/vk1JRQBH5o/%20uv8A98mjzR/df/vk1JRQBH5o/uv/AN8mjzR/df8A75NSUUAFRr/rpPoKkqNf9dJ9BQBJUZ/16/7p%20/pUlRn/Xr/un+lAElFFFABRRRQAVnarqv9nGJEgM0su4hd20bVGWOfpWjVDU9KXUvKYTPDJFuAdQ%20DwwwwwfahgWradLq2injzslQOufQjNSUy3gS2t44YhhI1CqPYcUvkxn+BfyoYIdRTPJj/uL+VHkx%20/wBxfyoAfRTPJj/uL+VHkx/3F/KgB9FM8mP+4v5UeTH/AHF/KgB9FM8mIfwL+VHlRf3VoAfRTPJj%20/uL+VHkx/wBxfyoAfRTPJj/uL+VHkx/3F/KgB9FM8mP+4v5UeTH/AHF/KgB9FM8mP+4v5UeTH/cX%208qAH0UzyY/7i/lR5Mf8AcX8qAH0UzyY/7i/lR5Mf9xfyoAfRTPJj/uL+VHkx/wBxfyoAfRTPJj/u%20L+VHkx/3F/KgB9FMMMQ6ov5UeVF/dXj2oAfRTPJj/uL+VBiiUEsqgDkk0APoqNUgdA6hGQjIYYII%20pfJj/uL+VAD6KZ5Mf9xfyo8mP+4v5UAPopnkx/3F/KjyY/7i/lQA+imeTH/cX8qPJj/uL+VAD6Wo%20/Jj/ALi/lT+lADP+Xgf7v9akqP8A5eB/u/1qSgCMf69v90f1qSox/r2/3R/WpKACiiigAooooAKK%20KKACiiigAooooAKKKKACsO70GW41O6uFljEM0PyoQciXGN30wBW5RQBiaLok+l3bSyPC/mwKsjLk%20HzASSR7Hd+lUZ/Ck8mSskR3PNvXcVBWRs9QM5GP/AK9dTRQByl14WvLi6lk8+AhklRWJbOGUAAjp%20xjryTXURIY4UQ8lVAp9FABRSHgVxml+PJbl7GS9gtI7a8Ex/czF5IBHklnXHTCnp6igDtKKw/wDh%20MtEEEMxvCI5k8xCYnHyZxvPHyrk/eOBUV94wtLfWbPT7cidpbgwTuMhYsRlzzjBOAOAe9AHQ0Vjj%20xXo5g84XqlDbpcghW5jY7VIGOcngDrVC+8dafD5sdrveZbSS6DSxvHGoQ4Ic4ypz7UAdPRWNL4ns%20Es2dbiIzgvGIzuA8xU3lSccDHOcdKz7vxvbW1pYGMRz3dy1sHjjLFIxKQAd2MdyQDgmjyA6mishf%20FWjm6uLc3qpJbxvLJvVlG1eGIJGCB7VHofiOPXNR1KCCIrDaGLZIwKl967uVIBFAG3RXIt45K3so%20Nmv2Mfalim8zl3hxkYx3ycfSoD8Qvs1tbzX1gyYgklu1iJdoWWQIqgY5yT14oWoHa1na5p0upWHl%2020iRzo4eN3BwCOvT2JqPRdaGrS30TRGKS0n8sg55UqGVuemQelatAHM3fheaWeR4pIdiiMwo+eGB%20Utn6hRV7WdHm1OWBo3jj2xSxOTnI3qBkfTFbFFAHJL4TugZZPMgLzQmBw7MwUEAb14+9x0wO3NXm%208PS/2n9pEkZAnhkywO4hEKnn1yc1v0UAcu3hy++yxWymyMcTNlyGDzKc9Wxkde3X1FbmkWb6fpNr%20aSsrPDGEJXODj0zVyigAooooAKKKKACiiigAqNf9dJ9BUlRr/rpPoKAJKjP+vX/dP9KkqM/69f8A%20dP8ASgCSiiigAooooAKKKKACiiigAooooAKKKKACiiigDM8QQPNpEjRIzywssyKvUlSDgflXLahp%2017PatGkV0puEN+xQEESAH5fY8jj2rvKKAMS++1Np+lpZyXCh5EWRlGG27T1yOOcVkW93rAspPPe5%20yxjWQhG3RNk7j93pjHC5+tdlRQBzXho3st6Z75JfMa0RWd0K5Idv1xiuloooAKKzNS8Q6fpNylvd%20yyCZ42lCRwvIdg6t8oOAM1dtbqG+tYrm1lWWCVQ6OpyGB6GgCaikJwCT0FV7C/ttUsYryylEtvKM%20o4BGRnHegCzRTZJEijZ5GVEUZZmOABUNvfW91cTwQuWkgKiQbSANwyOeh49KALFFV0vYJL6WzVyZ%204kV3XacAHOOeh6GkstQttRjke0lEixStC5AIw6nDDn0NAFmiq17qFtpyRPdyiNZZVhQkE5djhRx6%201HqesWOjQLLqE4hRs4yCScAseBzwATQBdorKbxNpKzPEb1N6Wv2xhg8RYzuzj07damj1rT5TahLl%20CbviEc/Mdu7HsdvODQA7V7Q32kXVuPvSRkLj17frXKTWd5fwKxguY21PmYAEGPy+Rn0JAxXcUUrA%20cvNFO/guyVWu/MQw+bjd5gww3ZGM8c/lVSS51prhxI04gaUrcqsbEpFu4ZPlx930z1Jrs6KfW4HH%203Z1aXToEBuVAt7g4SPl8EeXuGOpHarF3d38E1yx+3b0Rfs8MEeVddnJJwQDnPuMDiuoooAxvDU13%20LbXIvHlfZORE8iFSUwCOvJ71s0UUAFFFFABRRRQAUUUUAR/8vA/3f61JUf8Ay8D/AHf61JQBGP8A%20Xt/uj+tSVGP9e3+6P61JQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAh5FYOn%20eErTTfD0umRlDJLFJE115SiQhyTz64z+lb9FAXOWuPBCywRxQ6hLEGsE0+4PlhvNiX0/ut15569K%20I/A8UN/C8V7ItnDdPdJbbAcM0ZRhu645zXU0UAcbB8PVihCNqcjtFbwwW7eSB5flSb0JGfmOeD61%20Z1HwdNqnmPdaq7TTWctnM/kKAUdtwwM8Yx711NFAHOP4Ot31G5u/tLgz2ht9m0YVioQyD/aKgD8K%20qDwEsfkpFqMiQq1rJKhiB8x4AApz2BAGRXXUUAcZ/wAK5hknla51CSVHhnh/1QD4lbdln6sQQMew%20xitrRNBk0q8vru4vWup7zy958sIF2LtGAK2aKAOMj8EveWBs7uV4FttTkuYZEwfNic7ip9M5IP0q%201deBoLmTWnN5Kp1MKFGwEQYO449csMmupooWgGH4f0u6s7/V7y9x5l5cLtxgZREChsZOM4JxW5RR%20QAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVGv+uk+gqSo1/10n0FAElRn/Xr/un+lSVGf9ev+6f6%20UASUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAczq+hXmo+L7W6inntbVb%20GWGSeBk3bmZSFwwPYE5A7Vk3nhC/gm1OPSFeKOPT4bfT3M5GCC3mAc8EjjdjvXeUUDueff2Dqvmi%20RLG4XSPtgk/s03A8zb5ZXdndjG/B259/aqKeGvEVroUNrFazeY+mJb7Y7lQIpFnLnJz3U9R9K9Po%20pp2Eef6n4b1G/ttbt5rCaa7uRP5V2bkCNkIHlpt3dsY5GBjOeaU6JrkC3l5p9tLFLDJA9lbPOACo%20h8t1PJAwTn6iu/opdLAcBc+GdYt3khh8+4s0hs1dftGGuAjMZlGTwTkememazrrwxrjaK1pDp80a%20vNeSxiO4XfGzt+6yS2MY6nkjtXqFFAXPOrnw9rdzqFrJdWstxKLiylE5nXbFGijzFIz13ZPA5z1r%20d8R2wn8VaEs4zbSpcwH0DtHx+YDV1FNZVbG5QcHIyOhoeoLQ8zHhHXW0CNWtV+3NL9jkHmrxa7BH%20uzn0GcVPPokuma6sSWhje61yGe3lVgQ0Sx/NxnIwA2eO9ej00opYMVBZehI6UX1v/XT/ACBrSw6i%20iigAooooAKKKKACiiigAooooAKKKKACiiigCP/l4H+7/AFqSo/8Al4H+7/WpKAIyHEhZQpBAHJxR%20mX+6n/fX/wBapKKAI8y/3U/76/8ArUZl/up/31/9apKKAI8y/wB1P++v/rUZl/up/wB9f/WqSigC%20PMv91P8Avr/61GZf7qf99f8A1qkooAjzL/dT/vr/AOtRmX+6n/fX/wBapKKAI8y/3U/76/8ArUZl%20/up/31/9apKKAI8y/wB1P++v/rUZl/up/wB9f/WqSigCPMv91P8Avr/61GZf7qf99f8A1qkooAjz%20L/dT/vr/AOtRmX+6n/fX/wBapKKAI8y/3U/76/8ArUZl/up/31/9apKKAI8y/wB1P++v/rUZl/up%20/wB9f/WqSigCPMv91P8Avr/61GZf7qf99f8A1qkooAjzL/dT/vr/AOtRmX+6n/fX/wBapKKAI8y/%203U/76/8ArUZl/up/31/9apKKAI8y/wB1P++v/rUZl/up/wB9f/WqSigCPMv91P8Avr/61GZf7qf9%209f8A1qkooAjzL/dT/vr/AOtRmX+6n/fX/wBapKKAI8y/3U/76/8ArUZl/up/31/9apKKAI8y/wB1%20P++v/rUZl/up/wB9f/WqSigCPMv91P8Avr/61GZf7qf99f8A1qkooAjzL/dT/vr/AOtRmX+6n/fX%20/wBapKKAI8y/3U/76/8ArUZl/up/31/9apKKAI8y/wB1P++v/rUZl/up/wB9f/WqSigCPMv91P8A%20vr/61CKwdmbAzjgGpKKACo3VvMVlAOARgnFSUUAR5l/up/31/wDWozL/AHU/76/+tUlFAEeZf7qf%2099f/AFqMy/3U/wC+v/rVJRQBHmX+6n/fX/1qMy/3U/76/wDrVJRQBHmX+6n/AH1/9ajMv91P++v/%20AK1SUUAR5l/up/31/wDWozL/AHU/76/+tUlFAEeZf7qf99f/AFqMy/3U/wC+v/rVJRQBHmX+6n/f%20X/1qMy/3U/76/wDrVJRQBHmX+6n/AH1/9ajMv91P++v/AK1SUUAR5l/up/31/wDWozL/AHU/76/+%20tUlFAEeZf7qf99f/AFqMy/3U/wC+v/rVJRQBHmX+6n/fX/1qMy/3U/76/wDrVJRQBHmX+6n/AH1/%209ajMv91P++v/AK1SUUAR5l/up/31/wDWozL/AHU/76/+tUlFAEeZf7qf99f/AFqMy/3U/wC+v/rV%20JRQBHmX+6n/fX/1qMy/3U/76/wDrVJRQBHmX+6n/AH1/9ajMv91P++v/AK1SUUAR5l/up/31/wDW%20ozL/AHU/76/+tUlFAEeZf7qf99f/AFqMy/3U/wC+v/rVJRQBHmX+6n/fX/1qMy/3U/76/wDrVJRQ%20BHmX+6n/AH1/9ajMv91P++v/AK1SUUAR5l/up/31/wDWozL/AHU/76/+tUlFAEeZf7qf99f/AFqM%20y/3U/wC+v/rVJRQBHmX+6n/fX/1qMy/3U/76/wDrVJRQBGquZNzBRxjg5qSiigAooooAKKKKACii%20igAooooAKKKKACiiigAooooAKKKKACiiigAqpfanbaaImvHMUcjhBIR8iseBuPbJ45rnvFur6hYa%20xplrb3EcVrcrKHWIg3LuFJXYpB4B5J6Y6kd8rwtrNz4z+FF/LrJSWYxTwuwUDdheDgcZ5HT0oA9B%20orlvhrqVxq3gDSrm7Zmm8sxl26ttYqD+QFdTQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAF%20FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUU%20UUAFY2p+KdP0nWrDS7zzluL9ttuRGSjHOMZ7dR+dbNea/EhJJPHvgtIZfKka4cLJtDbTlOcGgD0G%20/v4dMtGurossKffdVLbB/eOOw7ntU8ciSxrJGyujgMrKcgg9CDXFeENb1K58VeIfDuq3H2+OwKmK%204eNVZlYfdYKAD19OxpnwmvJZfD19YuWaLTr+W2hLc/uwQQPwyaAO6ooooAKKKKACiiigAooooAKK%20KKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooo%20oAKKKKACiiigAooooAKKKKAMXVfCem6zrNnql0swu7NWSNo5SmVOcg47cn86y28JroPhi60TwzFK%20ovy6mSaXcluGGGbn0HQDqfzrrqKAKOi6Tb6Fo1pptoD5NtGI1J6n1J9ycn8avUUUAFFFFABRRRQA%20UUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABR%20RRQAUUUUAFFFFABRRRQAUUUUAFFFFABWNrPhbT9dvbO8vBMLmyJa3kikKmNiQc+54HWtmigDDi0m%20Pw9aXs2kWj3WoXb73eR/mlkPQux6KPboOgpfCXh1PDGgx2PmedOzNLcS4x5kjHLH6dh7CtuigAoo%20ooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAP//Z" height="266" width="780" overflow="visible"> </image>
              </svg>
            </div>
          </div>
          <div class="fig"><span class="labelfig">FIGURA 6.&nbsp; </span><span class="textfig">Histograma del indicador 
            productividad (rendimiento técnico) de los agregados. a) Tractor XTZ 
            150K 09 y grada Baldan de 24 discos. b) Tractor YTO X 1804 y la grada 
            Baldan de 52 discos.</span></div>
          <p>Para los dos casos objetos de 
            estudio las magnitudes obtenidas son bajas, siendo inferiores a los 
            valores posibles que pueden alcanzar estos conjuntos. Las causas de que 
            esta magnitud este por debajo de las posibilidades del agregado son al 
            bajo aprovechamiento de los coeficientes de ancho de trabajo, velocidad y
            tiempo de turno.</p>
        </article>
      </article>
      <article class="section"><a id="id0xfffffffffc131300"><!-- named anchor --></a>
        <h4>Valoración económica de los resultados</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <p>Los
          resultados del cálculo de los elementos de los gastos directos de 
          explotación en los dos conjuntos evaluados se muestran en la <span class="tooltip"><a href="#t3">Tabla 3</a></span>.</p>
        <div class="table" id="t3"><span class="labelfig">TABLA 3.&nbsp; </span><span class="textfig">Gastos directos de operación de cada conjunto evaluado (CUP·ha<sup>-1</sup>)</span></div>
        <div class="contenedor">
          <div class="outer-centrado">
            <div style="max-width: 1160px;" class="inner-centrado">
              <table>
                <colgroup>
                <col>
                <col>
                <col>
                </colgroup>
                <thead>
                  <tr>
                    <th align="center">Elementos de gastos</th>
                    <th align="center">Tractor XTZ 150k 09 <br>
                      Grada Baldan de 24 discos</th>
                    <th align="center">Tractor YTO X 1804 <br>
                      Grada Baldan de 52 discos</th>
                  </tr>
                </thead>
                <tbody>
                  <tr>
                    <td align="justify">Salario del personal de servicio</td>
                    <td align="justify">51,87</td>
                    <td align="justify">35,94</td>
                  </tr>
                  <tr>
                    <td align="justify">Mantenimiento y reparación</td>
                    <td align="justify">15,83</td>
                    <td align="justify">15,83</td>
                  </tr>
                  <tr>
                    <td align="justify">Combustible y lubricantes</td>
                    <td align="justify">459,81</td>
                    <td align="justify">408,72</td>
                  </tr>
                  <tr>
                    <td align="justify">Renovación</td>
                    <td align="justify">2,4</td>
                    <td align="justify">2,61</td>
                  </tr>
                  <tr>
                    <td align="justify">Otros gastos</td>
                    <td align="justify">10,74</td>
                    <td align="justify">7,45</td>
                  </tr>
                  <tr>
                    <td align="justify">Total</td>
                    <td align="justify">540,65</td>
                    <td align="justify">470,55</td>
                  </tr>
                </tbody>
              </table>
            </div>
          </div>
        </div>
        <div class="clear"></div>
        <p>Los gastos directos totales arrojaron valores de 540,65 y 470,55 CUP·ha<sup>-1</sup> para los agregados objeto de estudio, apreciándose que los mayores 
          valores recaen para el tractor XTZ-150K-09 y la grada de 24 discos. 
          Estos resultados son superiores a los referidos por <span class="tooltip"><a href="#B3">González (2018)</a><span class="tooltip-content">González, A. J. A. (2018). <i>Evaluación económica y energética del tractor XTZ-150K-09 en labores de preparación de suelo</i> [Tesis presentada en opción al grado académico de master en Ingeniería 
          Agrícola]. Universidad Central Marta Abreu de las Villas Marta Abreu, 
          Departamento de Ingeniería Agrícola, Santa Clara, Villa Clara, Cuba</span></span> y <span class="tooltip"><a href="#B4">González et al. (2017)</a><span class="tooltip-content">González,
          C. O., Machado, T. N., González, A. J. A., Acevedo, P. M., Acevedo, D. 
          M., &amp; Herrera, S. M. (2017). Evaluación tecnológica, de explotación y
          económica del tractor XTZ-150K-09 en labores de preparación de suelo. <i>Revista Ingeniería Agrícola</i>, <i>7</i>(1), 49-54</span></span>.</p>
        <p>Al evaluar los diferentes componentes de los gastos directos de operación mostrados en la <span class="tooltip"><a href="#t3">Tabla 3</a></span>,
          se observa que la mayor influencia recae sobre los gastos de 
          combustibles y lubricantes con magnitudes de 459,81 y 408,72 CUP·ha<sup>-1</sup>. Y el otro elemento con peso es el salario del personal de servicio es cual es de 51,87 y 35, 94 CUP ha<sup>-1</sup> respectivamente. Los gastos en mantenimiento y reparación fueron muy 
          bajos, así como los de depreciación debido al poco tiempo de prueba 
          considerado.</p>
      </article>
    </article>
    <article class="section"><a id="id0xfffffffffc189a80"><!-- named anchor --></a>
      <h3>CONCLUSIONES</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <div class="list"><a id="id0xfffffffffc189d00"><!-- named anchor --></a>
        <ul>
          <li>
            <p>Los
              resultados obtenidos al determinar los índices tecnológicos y de 
              operación de los dos agregados evaluados muestran que los mismos no 
              presentan buen desempeño durante las labores de preparación de suelo, 
              pues las magnitudes encontradas se encuentran por debajo autores como <span class="tooltip"><a href="#B12">Jróbostov (1977)</a><span class="tooltip-content">Jróbostov, S. N. (1977). <i>Explotación del parque de tractores y máquinas</i>. MIR, Moscú, Rusia, URSS</span></span>, <span class="tooltip"><a href="#B2">Garrido (1989)</a><span class="tooltip-content">Garrido, P. J. (1989). <i>Implementos, máquinas agrícolas y fundamentos para su explotación.</i> (primera reimpresión). Pueblo y Educación, La Habana, Cuba</span></span>, <span class="tooltip"><a href="#B1">Companioni (1990)</a><span class="tooltip-content">Companioni, R. (1990). <i>Material para doctorado sobre explotación de la maquinaria agrícola</i> (p. 150). Universidad de Ciego de Ávila (UNICA), Cuba</span></span> y González (1993) entre otros.</p>
          </li>
          <li>
            <p>Si
              determinan y establecen en el campo las amelgas de trabajo, franjas de 
              viraje y no se violan los parámetros cinemáticos durante el trabajo se 
              obtendrán mejores indicadores tecnológicos, operación y económicos.</p>
          </li>
          <li>
            <p>Los
              gastos directos de operación determinados muestran que el elemento de 
              mayor peso lo tiene el gasto de combustibles y lubricantes con 
              magnitudes de 459,81 y 408,72 CUP·ha<sup>-1</sup>, seguido de los gastos de salario del personal de servicio con valores de 51,87 y 35, 94 CUP ha<sup>-1</sup></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">Companioni, R. (1990). <i>Material para doctorado sobre explotación de la maquinaria agrícola</i> (p. 150). Universidad de Ciego de Ávila (UNICA), Cuba</p>
      <p id="B2">Garrido, P. J. (1989). <i>Implementos, máquinas agrícolas y fundamentos para su explotación.</i> (primera reimpresión). Pueblo y Educación, La Habana, Cuba</p>
      <p id="B3">González, A. J. A. (2018). <i>Evaluación económica y energética del tractor XTZ-150K-09 en labores de preparación de suelo</i> [Tesis presentada en opción al grado académico de master en Ingeniería 
        Agrícola]. Universidad Central Marta Abreu de las Villas Marta Abreu, 
        Departamento de Ingeniería Agrícola, Santa Clara, Villa Clara, Cuba</p>
      <p id="B4">González,
        C. O., Machado, T. N., González, A. J. A., Acevedo, P. M., Acevedo, D. 
        M., &amp; Herrera, S. M. (2017). Evaluación tecnológica, de explotación y
        económica del tractor XTZ-150K-09 en labores de preparación de suelo. <i>Revista Ingeniería Agrícola</i>, <i>7</i>(1), 49-54</p>
      <p id="B5">González, G. R. (1996). <i>Explotación del parque de maquinarias</i> (Primera edición). Editorial Félix Varela, La Habana, Cuba</p>
      <p id="B6">González, V. R., &amp; Tzucurov, A. (1993). <i>Explotación del parque de maquinaria, Ed</i> (Primera edición). Editorial Félix Varela, La Habana, Cuba</p>
      <p id="B7">Gutiérrez,
        R. F., González, A., Serrano, M., &amp; Norman, T. (2004). Evaluación 
        de Explotación-Tecnológica del conjunto Multiarado-Tractor J. D. modelo 
        4235 en la labor de preparación primaria de un Vertisol. <i>Ciencia Ergo Sum</i>, <i>11</i>(2), 171-176</p>
      <p id="B8">Hernández,
        J. A., Pérez, J. J. M., Bosch, I. D., &amp; Castro, S. N. (2019). La 
        clasificación de suelos de Cuba: Énfasis en la versión de 2015. <i>Cultivos Tropicales</i>, <i>40</i>(1)</p>
      <p id="B9">Hernández, J. A., Pérez, J. J. M., Mesa, N. A., Hartemink, A. E., &amp; Bosch, I. D. (1999). <i>Nueva versión de la clasificación genética de los suelos de Cuba.</i> (Primera edición). Instituto de suelos, La Habana, Cuba</p>
      <p id="B10">Herrera, P. M. I., Toledo, A., &amp; García, F. M. P. (2011). Elementos de gestión en el uso del parque de tractores. <i>Revista Ciencias Técnicas Agropecuarias</i>, <i>20</i>(1), 20-24</p>
      <p id="B11">Infante, S. E. (2021). <i>Evaluación
        del rendimiento técnico de agregados agrícolas de última tecnología en 
        la UEB "atención a productores de Bartolomé Masó</i> [Tesis presentada 
        en opción al título académico de máster en Maquinaria Agrícola]. 
        Universidad de Granma, Departamento de Ingeniería Agrícola, Bayamo; 
        Granma, Cuba</p>
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    </article>
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