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<title>Evaluation
 of Aggregates Formed with Tractor YTO x1204, Harrows and Land 
Plane</title>
<meta content="Working Width, Working Speed, Working Depth, Shift Time and Productivityancho de trabajo, velocidad de trabajo, profundidad de trabajo, tiempo de turno y productividad" name="keywords">
<meta content="Alain Ariel  de la Rosa-Andino" name="author">
<meta content="Yoandrys Morales-Tamayo" name="author">
<meta content="Manuel Octávio Isaac-Spinola" name="author">
<meta content="Peltier Rossi Lino-deAguiar" name="author">
<meta content="Idalberto Macías-Socarras" name="author">
<meta content="Yordanka Aguilera-Corrales" name="author">
<meta content="index, follow" name="robots">
<meta content="This article is under license Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0); URL=https://creativecommons.org/licenses/by-nc/4.0" name="copyright">
<meta content="Cervantes-Producciones Digital; URL=https://www.edicionescervantes.com" name="organization">
<meta content="en" name="lang">
<script type="text/javascript" src='https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js?config=TeX-MML-AM_CHTML'></script>
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  <div class="toctitle">Revista Ciencias Técnicas Agropecuarias Vol. 31, No. 2, April-June, 2022, ISSN:&nbsp;2071-0054</div>
  <div class="toctitle2"><img src="data:image/png;base64,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" id="codigo" alt="Código QR" height="85" width="85"><script>
              new QRious({
                element: document.querySelector("#codigo"),
                value: "https://cu-id.com/2177/v31n2e06", // La URL o el texto
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  <div class="toctitle2"><b>CU-ID:</b>&nbsp;<a target="_blank" href="https://cu-id.com/2177/v31n2e06">https://cu-id.com/2177/v31n2e06</a></div>
  <div class="toctitle2"><b>ORIGINAL ARTICLE</b></div>
  <h1>Evaluation of Aggregates Formed with Tractor YTO x1204, Harrows and Land Plane</h1>
  <div>&nbsp;</div>
  <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:alainariel41@gmail.com">alainariel41@gmail.com</a></span></span></p>
    <p><sup><a href="https://orcid.org/0000-0001-7456-1490" rel="license"><span class="orcid">iD</span></a></sup>Yoandrys Morales-Tamayo<span class="tooltip"><a href="#aff2"><sup>II</sup></a><span class="tooltip-content">Universidad
      Técnica de Cotopaxi, Facultad de Ciencias de la Ingeniería y Aplicadas,
      Dpto. Ingeniería Electromecánica, Extensión La Maná, Ecuador.</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="#aff3"><sup>III</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/0000-0002-1560-1998" rel="license"><span class="orcid">iD</span></a></sup>Peltier Rossi Lino-deAguiar<span class="tooltip"><a href="#aff3"><sup>III</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/0000-0003-3512-7098" rel="license"><span class="orcid">iD</span></a></sup>Idalberto Macías-Socarras<span class="tooltip"><a href="#aff4"><sup>IV</sup></a><span class="tooltip-content">Universidad Estatal Península de Santa Elena, La Libertad-Santa Elena, 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="#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></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>Universidad
      Técnica de Cotopaxi, Facultad de Ciencias de la Ingeniería y Aplicadas,
      Dpto. Ingeniería Electromecánica, Extensión La Maná, Ecuador.</span></p>
    <p id="aff3"><span class="aff"><sup>III</sup>Instituto Superior Politécnico de Cuanza Sul, Dpto. de Agronomía, Sumbe, Cuanza Sul, Angola. </span></p>
    <p id="aff4"><span class="aff"><sup>IV</sup>Universidad Estatal Península de Santa Elena, La Libertad-Santa Elena, Ecuador.</span></p>
  </div>
  <div>&nbsp;</div>
  <p id="c1"> <sup>*</sup> Author for correspondence: Alain Ariel de la Rosa-Andino, e-,mail: <a href="mailto:alainariel41@gmail.com">alainariel41@gmail.com</a> </p>
  <div class="titleabstract | box">ABSTRACT</div>
  <div class="box1">
    <p>The
      present work was developed with the objective of analyzing work 
      efficiency indicators of agricultural aggregates formed with a YTO x1204
      tractor, harrows and a land plane, in order to establish them partially
      for the future planning of agricultural works in the Agroindustrial 
      Company of Grains “Fernando Echenique” from Granma Province. To carry 
      out the research, Cuban standards were used as well as instructions and 
      methodologies referred on specialized literature. The results showed 
      that most of the values ​​of the efficiency indicators of these 
      agricultural groups are below the technical possibilities. However, the 
      utilization coefficient of the working width (<i>εβ</i>) for the land 
      plane, the utilization coefficient of the working speed (εV) of the 
      52-disc heavy harrow and the utilization coefficient of work shift (τ ) 
      of the three aggregates are classified as acceptable. It is concluded 
      that the magnitudes of real productivity (Wr) obtained behaved below the
      real possibilities of the set with magnitudes of 14.65; 17.71 and 29.1 
      ha shift<sup>-1</sup>, respectively, which is due to violations of the kinematic parameters during work.</p>
    <div class="titlekwd"><b> <i>Keywords</i>:</b>&nbsp; </div>
    <div class="kwd">Working Width, Working Speed, Working Depth, Shift Time and Productivity</div>
  </div>
  <div class="box2">
    <p class="history">Received: 10/10/2021; Accepted: 14/3/2022</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, e-mail: <a href="mailto:arosaa@udg.co.cu">arosaa@udg.co.cu</a>. </p>
    <p><i>Yoandrys Morales-Tamayo</i>,
      Prof. Universidad Técnica de Cotopaxi. Facultad de Ciencias de la 
      Ingeniería y Aplicadas. Dpto. Ingeniería Electromecánica. Extensión La 
      Maná, Ecuador, e-mail: <a href="mailto:arosaa@udg.co.cu">arosaa@udg.co.cu</a>. </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><i>Peltier Rossi Lino-de Aguiar,</i> Prof. Instituto Superior Politécnico de Cuanza Sul. Dpto. de Agronomía. Sumbe. Cuanza Sul. Angola, e-mail: <a href="mailto:peltieraguiar@gmail.com">peltieraguiar@gmail.com</a>. </p>
    <p><i>Idalberto Macías-Socarrás</i>, Prof., Universidad Estatal Península de Santa Elena, Avenida Principal La Libertad-Santa Elena, La Libertad, Ecuador, <a href="mailto:imacias@upse.edu.ec">imacias@upse.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>The authors of this work declare no conflict of interests.</p>
    <p><b>AUTHOR CONTRIBUTIONS: Conceptualization</b>: de la Rosa. A. A .A. <b>Data curation</b>: de la Rosa. A. A .A, Isaac, S. M. O., Macias, S. I. <b>Investigation</b>: de la Rosa. A. A .A., Morales, T. Y., Isaac, S. M. O., Rossi, L. P., Macias, S. I. <b>Formal analysis</b>: de la Rosa. A. A .A., Morales, T. Y., Isaac, S. M. O., Rossi, L. P., Macias, S. I. <b>Methodology</b>: de la Rosa. A. A .A., Morales, T. Y., Isaac, S. M. O., Rossi, L. P., Macias, S. I., Aguilera, C. Y. <b>Supervision</b>: de la Rosa. A. A .A., Morales, T. Y., Isaac, S. M. O., Rossi, L. P., Macias, S. I., Aguilera, C. Y. <b>Writing, review &amp; editing</b>: Morales, T. Y., Isaac, S. M. O., Rossi, L. P., Macias, S. I., Aguilera, C. Y.</p>
    <p>The
                mention of trademarks of specific equipment, instruments or materials 
                is for identification purposes, there being no promotional commitment in
                relation to them, neither by the authors nor by the publisher.</p>
    <p class="copyright">This article is under license <a target="_blank" href="https://creativecommons.org/licenses/by-nc/4.0/deed.en_EN">Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)</a></p>
  </div>
  <div class="titleabstract | box"><a id="content"></a>CONTENT</div>
  <div class="box1">
    <nav>
      <ul class="nav">
        <li><a href="#id0x3229d00"><span class="menulevel1">INTRODUCTION</span></a></li>
        <li><a href="#id0x3df6a00"><span class="menulevel1">MATERIALS AND METHODS</span></a></li>
        <li><a href="#id0x3df7500"><span class="menulevel2">Description of how the aggregate was formed and how it was evaluated</span></a></li>
        <li><a href="#id0x469ae80"><span class="menulevel1">RESULTS AND DISCUSSION</span></a></li>
        <li><a href="#id0x469b100"><span class="menulevel2">Turning Time</span></a></li>
        <li><a href="#id0x5490780"><span class="menulevel2">Aggregates working width</span></a></li>
        <li><a href="#id0x5569d80"><span class="menulevel2">Working Speed</span></a></li>
        <li><a href="#id0x56f2f00"><span class="menulevel2">Working depth for heavy and medium harrows</span></a></li>
        <li><a href="#id0x5747600"><span class="menulevel2">Work Shift Utilization Coefficient</span></a></li>
        <li><a href="#id0x5490700"><span class="menulevel2">Productivity</span></a></li>
        <li><a href="#id0x59a3580"><span class="menulevel1">CONCLUSIONS</span></a></li>
        <li><a href="#id0x8cd6b80"><span class="menulevel1">INTRODUCCIÓN</span></a></li>
        <li><a href="#id0x9132900"><span class="menulevel1">MATERIALES Y MÉTODOS</span></a></li>
        <li><a href="#id0x9133480"><span class="menulevel2">Descripción de cómo se conformó el agregado y como fue evaluado</span></a></li>
        <li><a href="#id0x92dce00"><span class="menulevel1">RESULTADOS Y DISCUSIÓN</span></a></li>
        <li><a href="#id0x92dd080"><span class="menulevel2">Tiempo de viraje</span></a></li>
        <li><a href="#id0x92e1700"><span class="menulevel2">Ancho de trabajo de los agregados</span></a></li>
        <li><a href="#id0x2e8900"><span class="menulevel2">Velocidad de trabajo</span></a></li>
        <li><a href="#id0x204a600"><span class="menulevel2">Profundidad de trabajo para las gradas pesada y mediana</span></a></li>
        <li><a href="#id0x204bc80"><span class="menulevel2">Coeficiente de aprovechamiento del tiempo de turno</span></a></li>
        <li><a href="#id0x20b5a00"><span class="menulevel2">Productividad</span></a></li>
        <li><a href="#id0x4db8a80"><span class="menulevel1">CONCLUSIONES</span></a></li>
        <li><a href="#ref"><span class="menulevel1">REFERENCES </span></a></li>
        <li><a href="#fn"><span class="menulevel1"></span></a></li>
      </ul>
    </nav>
  </div>
</header>
<div id="article-front"></div>
<div class="box2" id="article-body">
  <section>
    <article class="section"><a id="id0x3229d00"><!-- named anchor --></a>
      <h3>INTRODUCTION</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <p>In
        Cuba, research has been carried out that has been aimed at determining 
        and evaluating the different technological, exploitation and economic 
        indicators of certain agricultural aggregates during soil preparation. 
        An example of this are the studies carried out by <span class="tooltip"><a href="#B11">Gutiérrez <i>et al.</i> (2004)</a><span class="tooltip-content">GUTIÉRREZ,
        R. F.; GONZÁLEZ, H. A.; SERRATO, C. R.; NORMAN, M. T. H.: "Evaluación 
        tecnológico-explotativa del conjunto multiarado-tractor J. D. Modelo 
        4235, en la labor de preparación primaria de un suelo vertisol", <i>Ciencia Ergo Sum</i>, 11(2): 171-196, 2004.</span></span>, <span class="tooltip"><a href="#B14">Machado (2015)</a><span class="tooltip-content">MACHADO, T. N.: <i>Evaluación
        tecnológica explotativa del tractor XTZ-150K-09, en labores de 
        preparación de suelo. Tesis presentada en opción al grado académico de 
        Máster en Ingeniería Agrícola</i> 80pp., Departemento de Ingeniería Agrícola., Universidad Central Marta Abreu de Las Villas, Santa Clara. Las Villas., 2015.</span></span>, <span class="tooltip"><a href="#B13">López &amp; Herrero (2016)</a><span class="tooltip-content">LÓPEZ,
        S. I. &amp; HERRERO, B. F. S. : "Evaluación de los índices técnico 
        explotativos del tractor Foton 904 en la preparación de suelo en la 
        empresa cultivos varios «La Cuba»", <i>Universidad &amp; Ciencia</i>, 5(2): 79-96, 2016.</span></span>, <span class="tooltip"><a href="#B9">González <i>et al.</i> (2017)</a><span class="tooltip-content">GONZÁLEZ,
        C. O.; MACHADO, N.; GONZÁLEZ, J. A; ACEVEDO, P. M.; ACEVEDO, D. M.; 
        HERRERA, S M. : "Evaluación tecnológica, de explotación y económica del 
        tractor XTZ-150K-09 en labores de preparación de suelo", <i>Ingeniería Agrícola</i>, 7(1): 49-54, 2017.</span></span> and <span class="tooltip"><a href="#B8">González (2018)</a><span class="tooltip-content">GONZÁLEZ, A. J. A.: <i>Evaluación
        económica y energética del tractor xtz-150k-09, en labores de 
        preparación de suelo. Tesis presentada en opción al grado académico de 
        Master en Ingeniería Agrícola</i>, 80pp., Departamento de Ingeniería 
        Agrícola, Universidad Central Marta Abreu de Las Villas Marta Abreu, 
        Santa Clara. Las Villas, 2018.</span></span>. These studies have been 
        carried out on aggregates made up of different tractors and farming 
        implements, for which there was no information on the aforementioned 
        indicators and consequently preventing their efficient exploitation, 
        especially when they are newly acquired technologies and their 
        exploitation qualities depend to a great extent on the working 
        conditions as <span class="tooltip"><a href="#B9">González <i>et al.</i> (2017)</a><span class="tooltip-content">GONZÁLEZ,
        C. O.; MACHADO, N.; GONZÁLEZ, J. A; ACEVEDO, P. M.; ACEVEDO, D. M.; 
        HERRERA, S M. : "Evaluación tecnológica, de explotación y económica del 
        tractor XTZ-150K-09 en labores de preparación de suelo", <i>Ingeniería Agrícola</i>, 7(1): 49-54, 2017.</span></span> referred.</p>
      <p>Other
        authors have developed computer programs that serve as tools to 
        facilitate the different calculations of tractor operation. Some of 
        these are the AnaExplo by <span class="tooltip"><a href="#B26">Sotto <i>et al.</i> (2006)</a><span class="tooltip-content">SOTTO,
        B. P. D.; BRISUELA, M., LORA, D.: "Aplicabilidad del software ANAEXPLO 
        para la realización del balance en las unidades agrarias de servicio de 
        maquinaria", <i>Revista Ciencias Técnicas Agropecuarias</i>, 15(2): 33-36, 2006.</span></span>, Explomat by <span class="tooltip"><a href="#B20">Pereira <i>et al.</i> (2015)</a><span class="tooltip-content">PEREIRA,
        M. C. A.; PÉREZ, M. A.; MARÍN, D. D.; GONZÁLEZ, C. O.: "ExploMaq, 
        software para la evaluación energética y económica de la maquinaria 
        agrícola", <i>Revista Ciencias Técnicas Agropecuarias</i>, 24(1): 72-76, 2015.</span></span>, Tractor PT by <span class="tooltip"><a href="#B1">Catalán <i>et al.</i> (2008)</a><span class="tooltip-content">CATALÁN, H.; LINARES, P.; MÉNDEZ, V:: "Tractor_PT: A traction prediction software for agricultural tractors", <i>Computers and Electronics in Agriculture</i>, 60(2): 289-295, 2008.</span></span>, by TecExp de las <span class="tooltip"><a href="#B3">Cuevas <i>et al.</i> (2008)</a><span class="tooltip-content">DE
        LAS CUEVAS, M. H. R.; RODRÍGUEZ, T; HERRERA, M.; PANEQUE, R. P: 
        "Software para la evaluación tecnológica de las máquinas agrícolas", <i>Revista Ciencias Técnicas Agropecuarias</i>, 17(2): 24-28, 2008.</span></span> and De las Cuevas <i>et al.</i> (2010) among others.</p>
      <p>One
        of the processes benefited from new technologies in the rice production
        machine system is soil preparation. In Agroindustrial Company of Grains
        “Fernando Echenique” of Granma Province, medium and heavy Baldan 
        harrows of 40 and 52 discs, respectively, were introduced, as well as 
        the nationally manufactured land plane to form aggregate with the YTO 
        tractor, model 1204 in the work of breaking and leveling. However, the 
        possible technical performance of these aggregates is unknown till now, 
        only the area realized at the end of the shift is measured, based on 
        scientifically argued criteria and exploitation parameters. Taking this 
        problem into account and starting from the experiences of the 
        aforementioned investigations and from classics of studies on 
        agricultural machinery exploitation, such as <span class="tooltip"><a href="#B12">Jróbostov (1977)</a><span class="tooltip-content">JRÓBOSTOV, S. N.: <i>Explotación del parque de tractores y máquinas, Ed.</i> Mir, Moscú, 1977.</span></span>, <span class="tooltip"><a href="#B7">Garrido (1989)</a><span class="tooltip-content">GARRIDO, J. P.: <i>Implementos, máquinas agrícolas y fundamentos de su explotación., Ed.</i> Pueblo y educación, Primera reimpresión ed, Ciudad de La Habana, 1989.</span></span> and <span class="tooltip"><a href="#B10">González (1993)</a><span class="tooltip-content">GONZÁLEZ, R. V.: <i>Explotación del Parque de Maquinarias, Ed.</i> Felix Varela, La Habana, 1993.</span></span> la p, the present investigation aimed to analyze indicators of work 
        efficiency of the agricultural aggregates formed with a YTO x1204 
        tractor, harrows and a land plane of national manufacture, in order to 
        partially establish the indicators calculated for future planning of 
        agricultural work in the Agroindustrial Company of Grains “Fernando 
        Echenique” in Granma Province. </p>
    </article>
    <article class="section"><a id="id0x3df6a00"><!-- named anchor --></a>
      <h3>MATERIALS AND METHODS</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <p>The
        present work was carried out at "La Gabina" Rice Farm in"La Gabina" 
        Locality, Río Cauto Municipality, Granma Province, which is located at 
        km 727 of Las Tunas-Bayamo Highway. The research was carried out in 
        field 96 of lot 13 in the period from February to March 2020. The dry 
        soil preparation technology for rice cultivation (<i>Oryza sativa</i> L.) was evaluated in a relatively flat Vertisol, according to the New Genetic Classification of Cuban soils, (<span class="tooltip"><a href="#B5">FAO, 1988</a><span class="tooltip-content">FAO: <i>FAO-UNESCO: Soil map of the world, reviewed legend</i>, Roma. Italia, Report 80, 12pp. 1988.</span></span>; <span class="tooltip"><a href="#B15">MINAGRI, 1999</a><span class="tooltip-content">MINAGRI: <i>Versión de la Clasificación Genética de los Suelos de Cuba</i>. La Habana, Cuba: Instituto de Suelos, 1999.</span></span>; <span class="tooltip"><a href="#B25">Soil Survey Staff, 2010</a><span class="tooltip-content">SOIL SURVEY STAFF: <i>Keys to Soil Taxonomy</i>. 11th ed. Washinton, DC: USDA-Natural Resources Conservation Service, pp. 346, 2010.</span></span>) with an insignificant degree of weeds.</p>
      <article class="section"><a id="id0x3df7500"><!-- named anchor --></a>
        <h4>Description of how the aggregate was formed and how it was evaluated</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <p>The
          aggregates formed and subjected to the tests in the soil preparation 
          work were the YTO X 1204 tractor and Baldan medium 40-disc harrows, 
          heavy 52-disc harrows and land planer (<span class="tooltip"><a href="#f1">Figure 1</a></span>). The second gear step with reducer was selected, following the recommendations of the aforementioned tractor operating manual.</p>
        <div id="f1" class="fig">
          <div class="zoom">
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ThmbExMW%20QCcCD0iKz0YingoIACwC0EAPpLYVAXiDBlWrhOP8g1RSgs10YBsWMnOlMet4EVjMrB0e2ej/n18p%20x0Fxi6ZwrKm3K1ShCvHsACQGsbg5DGKgdXjELCaxitZVIhF10QBdONqIjA4ppBu9aEm3tNGYtjSl%20oZto5mZXiEPsc3fVxABEbO4fqhrvTvHbXwbY1xiuhrV9Y41HofbUqEOFb3/7y1Ne+9QYcOSvsP97%2066Ia26g+NXCuDZzsZitVvpa0gHylPWFqv/HaZ02rg6/NbbjaTkNCQgQbEFtiW9rymHM4MYtbfEx2%20o5uYc0Txu98tb2Nq08fjbCy+9x3ObIpTnOEMOMB/3MpyWqAXmf0sAgto2tMG4OFWTi3E3+CBVryh%20y0g50UMm47Z3REkyFPF4CNeoKRDN9lYH/0HRdEB0JTgbBCvNWVYCynNb3DpAt3teYZ7xnKYf+nC5%20xE3inwltREMjGrvLxbTSlX7ESDOa0Zl2uhUjbcVES/fTV7fiesC1HpmpJwH2KoiQxEFe8/L3CPzV%20RXlrzfZa85eowsbjgBc84LkvWMD9dbve897et+/a2cdOtrL3C8c39iPCl0zqfK36RsY7OHcfboy4%20S0xid3Mhl+7OfIut2e9/e77dms88uf9KenIDucI4bvF8R5/5+XJhjq3kgu0wgfCDB0KzgajDOQtI%202oen9g0U76Dvhd+KAQhAICJ0iJe345zkFAS2bM7OjbqRj8bk4+Rr7BDJvVEPOqQZBSjY1f/HH5Kc%208asDBzOfIQydxcL2tx+G2wo0DYWIwzD+XIhIBCOhg171JgqO6UkHgCKldFQHdU2XacmVgNdVdUjX%20LQ5ARgxwHt9gBglwao2RU8YAAcYwNJZDNOvyAT2zUyLodsPmdwiGR0aVgosHYAp2dy4IYIKneBMm%20RxbgRmgFbQ+WgxJ2bY+nVRS2SZcEYegjBfigSiJGS7KkYruUbiUGe07YSk8YTicmhf+mbqGXeSy2%20bq3XbgAGTE74TVCIVGKIVCoWb0hmTglHCooQCGuIBHGABHUQZR3kAcCnZRSnBjngew/nBFLREMlH%20LK+FJYBIUI5RDyhAB/ZCfQ6hNsZCZgj/UR3dsA6GeIgogAZoUA/jRyzK8RAyR3N05iy1sFuiSGc1%2013M1pEPzB0SouEU7ZFz4N2jRtURPlET/N3VJt2iHFoAG+HS5GIBZB3RMlEP7p2hAdEb0px44EHaa%20Mh4ZuIEZMERCM0TcNY3TWIwMMETXmAEAwl4jyF7cSF7gyI3eWGwr6FVRaFXoqHjR9gEWwI7s2I7w%20aDvsuG306Dv1CFd0lY/o42M8CHmqRAb6sEkB+UoFR5Cx52511GIJKYbzxZAVhlQP6YUSiVQTWUwr%205mJFJkxgCHDCxHlF9pAgGXs4dk69QHsEpAgFpAi3oAiDoJLwlIe/R3FvoAYdlIdqoAYP/2d8yLEo%203IEWCuFl77Ar0ccVVzJmCxFC65APKGAGVjAOQpIPjEiUi+grRTmVEEEHCFEZlWGJJIAGmZAJVoAC%20laER9gAPlvEa1KEOCZAA3FBzdRYOzmIeNAeXdQZDaEJGOICXZKRQNAQBNUdGN0RG9AeY1qJD/3eY%20ipaYDNh/SlSLTCSLC7iYVpRD0FKYlNktoFaM1uIAFRheY/IBtZCBzzia0UiNpjma3EWa6wJrO8UA%20rdmaPKUuG8gAsFabtHmb7ZWb8+VU8sWbKdhsv2lUTQWPTuWOxGmPPHiDELZtyEmD9ciD96OPUqAh%20jYEGbFBHaVAB2TmQFSB7t9SdFXAD4f/pSiomnuJZnt15YBBpYBDZnkcwR+9ZAUfgYqCXbhjweviJ%20Ae/5nq+3n/epn/+Zn/g5hu9pToGAZAQUCW7Ahro3CHVwC4/wCAfQBw+nBsDXAW8QADSpoTL5BtZw%20fDMRZtThETPRBuWHETNBHELpHOBXD7riHFtRlc/XEP3kh92ABqyABnSQAJe4Ky7XNmLpDVppD175%20lViTCUEqHAahlnKjW+UBl1AapVLqpCxURlbqlzS0LfFXf4FpmMKYQ475mL4omVU3i2Zqpogppv/X%20ZxLopdVymdACgTQkLWtiU5ThDfiACBAQmtAojanpABkAqIIaqARDMOvxgKMpL66Zm4z/yqgOkIEf%20oIHd1V33wah3VGyNmqmampuHhEjt1ak91Y7t1VSNCjqIZKqpM5xnFWCN5zuR9w/ilgajM6vaGTr6%20ADp01J0qxgW7qquvxKuvF0hBNUgAOgf7CU4A6p9HkG7WpG7gtKzQaqzSGq3Rqp/SmqzJaqzLqp/q%20Q5JIYEALygeDEAeDcAtuEKE02UHAVwkYipN1WAoyqQUg2g1tcA//RA9tgAbgZ6I/uQ4mejJhCX5W%20YAWiAH7hx2b0MIkHK6MLcSUFZQ/dcA+ZwKOskAn1sKIRoTZCSSWSCH0GsSu+8rEgiwK04H0CQAdd%20WQ1ssLJskAkkYBkCsA4xaw8zG7ML/0AHIHoQamkO4PAN3OCzUJoAUwqlTwqlfhmlRdtCfhk35kFG%20ENC02hK1WlqZfdZntyUtOieMyhVERNe1aDqLgLOmSMSmgnMehomKOES1NrSXfVlDnGmnFDEeA2Oa%20TgsB6AAB8fC0eKu3dAsBkXofPOWa6gKCgnuNkTqN1/iAhQqp6NFTrrmoPQWqm9q46RGoH6BTmNte%20qvCNnvqpjCq5mbq5jVpgPiUFFjCdHmKdoKMP2Tk6t+pKdXSr+sCr5EmeKvart7ubrzdfelQBH7C7%20e9QP4CS8cDQHwnu8aCe8y3piR8AFy/tN75luylus/mms0KusyXoE72mtfCUJt4d7df/wCIrwoI+Q%20B+Z7oZrQoR3grnWYoW8gr8cXsaqAAk/iDW0wsDFgBfpqEetQiTFQBmywCAOrCovAlAR7sRBRD6Iw%20sAW7DmhwCpO4sUIpiZVoBTeaBuOAo2gQlMzhDR7XHMwxwV8mCmhAwvewwGiwDlQSwShAwi3aBgvb%20outABwNLC2gQA2BpBdVQDZaIBiTgfbRAAkJMsijQlQNLAihwfEu6ltwQDj/bxFBqDkOLtHFJc7cF%20lzG0tNpyxd9gHuYBRHl5W1hKmZcZpjCTf0WXi2DaQ44ZgbJYixEotjIDpnTcLVHLLTZkLWZUQwSz%20JqcmJV8QMtw1MHlLMM6ip+HQt33/S6iKXKiIS6nXeI2TSo2BGqj7oY0ZMI6aTJs7lcmevIGg3Iwa%20mMmPCrmb6qiXm8qnvKlSwBiOYQVlwLqrmwasmwasIKu4TMu8xEu3tMu3dAO8dAPA2rzOW8zaywX9%20cMzAusy3tMyzu6vAmm4nxsxcoAvTuqzGmsxo55pwdAQ+xQU3cEhSkHYZIEySgAR84AYPaq4ROgiD%20wA+P8HBvUAqaoAOacJPr2wGloAalUArJ8M+lMAD0EB71kAnQUA0wDEL2QAsIUA0F8NAaQAIC8AIT%20XQMaUAApcALVEAGLUA0xgAYOXQO04A0k8AJFLAALgAARsNEIgAAxcAInEAMuTQAM//0CCEAAMRAB%20ERADBEACtFAATqABBIDRJ9DSEaABCLAANk0LNn0BLe3UJODSLd3SQXzTBIAAPj3VaNDSPu3TTE0L%20DD0Mw9AMzRABzTDVNszTU83VQmzVXP0CQUwCuREl9TAOCXAP4JDXeZ0A4MDEQguXfz3FNeSWXFrY%20hn2KqZi1SeRzwhhdcKxc04XGi51/jD1caFt/fLkt5eEA92CnjaEOtRDaoU0OpE3a5nDapV3a8UAO%20jTypD6i4iDqNitvapomo7oGazsiamAyCIpjJ4fjJmdy47AKbOrXKxl3cyK2poOPK3YAIZaCdt9q6%200S0Ft3rLu3zds6sPwCzM2d289/+pvd+dvfxJzc2c3bz6zN0pzcsszc2LzdprrIzmhesyd90pBeFM%20m+aFAY2GCWwQCHxwC4OgBI/gBnlwC66gD65gDTnQCvwMCpqgCR3QAQ8O4f1c4f2sBfgyD2wADTWA%20BgJcidWgASdQADbAA41QAwRAAAtAADWw0gUQ0wSABimOADJeDT3dlTiNBi8wDAhw1i5dDTxgAxst%2000LM0G7d0ldtA05g0Y3wA82gARpg1iSA0z3t0mZNABHA1Avw1S8Q1XC9ACgdxMMQ1ggA1gJAC1sO%201mDd480g1mqu5hSd5kH81TR+01/tr21wlgVRD/eA13qt1zM3c20JDk4cDoQ+tIb/TdiHzaWChoqQ%20PdnKpbViGtnT9aXG9UPDteg2xJdLa2c1lXzq8AX4gA+kLQ7k0A7tIA7iMA7goOquburtUAvkUAvx%20MLd0i5q0neuRDKiR7IGgfJu2qY0A8pq8/biuGbiv+biprFOmbNzOzqmtDCJWcJ2yywrabctScMus%20kO1p4Kni3LmlGs7ibt/kLu4YcAN6p5tDlZslKLzWrK3DxiDy5bwMYiCIJAyqsDMU8rvplQEYIDTC%20oA9msjy9kAukEAl5EFpIIAmuYAHTgPD0/OASDuEcYOFqkAya0M8SQBAmkwY8YOOLsAgxUA0ardMR%20UAMngOIxMOURYNM7TdYIwOMR/0DVV43mdN7SzRADzXACPMADML3SMi3TN+3jLf0CL3DULR0DMTAM%20EaANNH3Tak0AJK/RGuDRNQ/XLY0GzRDjax3XJbsOC7ArNpvmbb4AYE4LAhCzMkuzZ47Saa/UX232%20aS8AkKEbhnjXf97X4IB+ez/oTVq0SEuK6sdb6qfp9efoPhfpkv1cXyrZjT+MlY34hh+1hE9zbytC%20y4IP90AOpH7qng8O5jAOr57qqZ7ask7r3JWBjYzrdCua0viM/NFT2oibPMWajBrcug3sxy64sKbs%20xlDci1rcz+7ti0SqyLZHoRN5NxrL2R46tEzdaRDOtNzt4Ry5nYvuuXko2m/fH/9Q/ej+/cMmd7rJ%207sOmC8Jm/sJWXuhBu/fZSgdySGaASEdwIM4ba0PlH6x7cOw0Db0AENNIRbLQK5AbWAk9aNJU6o0m%20HQ3VPCyVrFTFZFrovftnD0EzWiSsxLCCIAIClLQQEEBAiwAJlAIWoKT5sdpJkzhbEojQrFmEahpO%20nPgZo1mMjz2bsaTJlECMkAhe/MR5EwEaBDGqnYgQwZHVlrRovZgZo2sMEmLFLlgnwO1buAJoLVgg%20l9Y6b2/z1o3rlq+AvN4Ee6P371+9ewnAjQPXGJxixTi4JeAWrjK4cJk1Z/6Go/Nnz6FBo/tW2vRp%201KlLN/jG2nVr2K8buKbduvb/bNu5WcPOAHv1b9XBSzsoDQECDgjhHCRQZ9i5unuIapkjV91cOHPm%20EpgDV927d3He49UybpwBBAbpIWRYXx6Csffx4Zc/X94BBAf370P4gN6Bsf8cYOCDDwYkkMAB0xNQ%20QAYCLJBABxD8IMIJK4zwQgsrPHBDAqXg0MMOP8DgAymkKKebbv6xogwp9JHiBlb0uUEKVl5MA8YX%20S9TRQx4JVIXED2rMcUYic8yRQyST3LCfD/ph0pgNbzTjhhtUYSUNVsxIgw0r1rEiDkmEeZELBjLQ%20pR90PrAADStkcaIJHgoZwBBDtsmFBRt4sMaDDnSoBKIOKnmjEkEr8eDPJN4Q/0SNZESQgJ7CulFp%20mJUIYGoYSlGKgSWmEJjJp2F8eqAZR5p54COfSm2GK598QmmYBYZ5QaWQlkJAVixUaqamSknYVaWs%20PIXpVbqK/QuuYmXSy63BAOsrrrYGyyvat+ri61jABjOsnnESuMcxxyCjbNzHNjP3m3DQVTdddtcV%20LjjS4v2GNNNkA243e/ONbV97fdvt3XdxCC20cHBYTp0UDetGHelqCYcchyNOYOKHs8OOnIerCyce%20CBx272P36gN55PI4DodkkBdssMEJV3aAvfMKTK9ABgVEb2X08Ls5PZ4VzPBBCoNW8oYP6kHxHzTK%20YKVGF2d0kekWafRQFSl+pP/6gx8PtLpKrlXpumslw16ywH6O+MBsA7F2ILtvH0tgHDZRsAcFV4S5%20wQwGyNTlzAwatAIaLapJlYALmiiAAAAWIeCEEHIIIABCCe3gjA4+qZyDM944phRKRNBEDEg7irVS%20Syl9gKeulrJVKlSbweKBYWCHHVMsYgUJi1+N1X2BueSqnS6ZsCBL2WR1r5Z4mZJN3lrglX1WMAHg%20EaCtao+FZ4E2spW+LbrWmov3F0ggIXt4CNv2nrbBVUz9y8LBDLPr4udmfvrrt58bgFGTV15+/b33%20f30FEDi+8V/+ThMaCHzGAcphTsIM8w703SM81AEHd9iWHQxiEGMQC0ctIOb/wVqEsGMjJE8JSXjC%20EKYwhd9hIcRYiMGIdbAWDpjhDPNzQwioIj8V4s+FGoQfm+kHPzPUmX4WlJ8fHrFBAHJZhMxwohSt%20SGpXqtHSXlQjIi1Ni1vcIoyo9MUPUCmMBCLaGL94RjTeQB9ckBEXbuBGLsCRSm6kEgPMgAJ11MNo%203cgHHexhj3z4RXx0mAcO3ri3DGDAAfcowAwmQQVIusAFLaACJVvwAEj2QJLOmAQRgrABQsCgFCIo%20giZIWQRSiqBRI4AHPfJCiweciiaxbN2uZkUTSu0KAQ/AAhZiN4xeNmMBvqxdMXVHTGAOc3e6ewGs%20FjC8WOUKVm75Hl2wkJQI/xilJmK5ii4xVc2x/IUus7plWronvrGkk3ckAJ9UcgWsrLwket7YFgrQ%20By7HoOEx3MBnY7Dzz+tYRqCVIehALfMN/BEUofAKx/6Eg6//ETCiEJWoAS1qmoF1pmAHSxE9//EO%20dXzhC+IgaUnFMY6TlpQc4MCHOKhDDny08DshHI9MbXpTmYYnPOTQqUlN2h2LhfCGSLzQUM8jIB5+%20oBY/7E8Qg6izDEWIP/1ZYs0+8MSjJY2KU5yRFXHERbByUYxEG6sZzZjGL8KxjW9kKxzjKMcvIqIe%2079Ajiv74R2YFho+GPIKZMtAPB5DBGj3AAiSp4IJXhGKSdmiBM3pAhcdCMv+WF2jBBTzhCS9M4hJP%202EAVqgACZvjiECGAh2FkEjsokOUFsgMmFGjygpXsalenagYwRXUqXiYzVL0cJjHpMozUUuqWw9zl%20raAwE5QQQJe6/F04aaKSCJxAFqlDw1GakRZgVfcow5hLSNKyF24+l5xjMWdICICG8Tbze8kTAGzR%20kD3BnE8xjOlnuCYzmfe5T7/muF9/6XfQhB60XewacGnoNUCL6quA/7pogwv2meMs8GDOURhI1aEO%20dpRDwxv+wjxQilKXhpilFcxOC+PBQfKcrIPJiWH8OvjPf07HHLUgaQbNgY+WtvQL4xhpj8Uh0h+P%20Q8j4MIMFAhEIJCDiHrX/iOl0SpjCEepHhCg0oQir3DEiFnGHZkDYP7oRg0ZIgg1pyMTSsFTFG7EC%20RvqIUYz0IaMY0fGLDJjzDSpwAwHdgAHfGFAG0krnOL4xjkd4K5kKfWiecUEYohBMG6Bnj2cJAAFu%20sYLXGtA3OyqhBJh0gWH1AAxgcCDUK5ADDc4wgxFcQrGSNCyrJflqF+xhEj0o7T8EQKpmXOACu8S1%20T3qCkgtooCcEcIQGHHHsrmijCT3pygW64hUNEHvXWHCtr5+9a9d+5AK7GqZr6XICHqzkJLAigEoW%20YKmafKW2ztymX3AHK2GGClbN5N3oUJK7YTD719z15a3I6cxiqeQFbylf/z2FjM/1ra++4LKgfw1a%20UG7EI+ITN9dm4rExjJ/GHd/Y+MYBBtHXNBhg6VJXyUlOchykK+WdSXk4EJEAo/3Do/RY2DnUcY5y%20ZHjDGhbHFnyKUnywFB8llul4xgPCFzsMOy6OH3WcPvRaSMccXzDHPdiWYx7/WKTz2PkXytFjRBiE%20FKSgoQRJap3r1GI8JyOPcdj+9o510IUoXrvaaQoBjmEZEedA0TpU8QMxCyMNWxp84adIIzh7UUaL%20P+Odw1gBDzFAGMKQBBIwYYEKfEMYMgL0od96BEK/tQGh97wFJNGNdayDDK7wBhryAum+kEAA3ZCE%20nj/QgA+kwRqOKKxhqf/AASEEXwifSIQE1CAD5ANjCZpIhimMsAdnuDr6sG5BE1pp62GUatu6PrYj%20IqDrYIO7ADyQRQpkUQBVRUAbJ2jCT5owlBQ4QRYn0MBPkO2IoTThAkPxfv4LcAJHQIDagQJfW5wm%20cCcEaL+e4IroMot9Gx3ZggprAYlYoQvaOgl7gxVKiR1dMgnv25Xf6bdcqoliSQnyypZtGYd7oK+F%20a0ELaox28C9w6K+Hq8GCQhd2SaiF6rj8oagGwAEGexfiGI53OTl3McKC8YzMUMIEwIEGkjnn6IZ3%20OAcqZAecYwd14LAt2DEh68KSAjGd4imnIwenc6nqcKnGCDqSAkOfEqn/cggprxMpOeywedAjO7xD%20hLm5PNKjd3ADRmCESPiCC/sxn9op73A6FQqhpGOxDfKOjJk7EOIgl+syb8iEOGADNiiDMRszMsMS%20T7Qiw0sDKbgRqqGaqpGCTEgDK0jFTECDNHCDQUCCQKgDRahFM7ghM5iQCFkZmUGPA9EznpmQWvgA%20g0CCC3iB/5MADTiuTHmmUYECLFAuArCBTHADJDADVYgDCeg9KuilFgA+IfCHT5iGaYgGHRACGQi+%20dAy+JVgCDhCBKhiCTdgEJqhHIpCkC4AUehCA7Os+r9AGbXCEJtAGZzMcHgCCFAACHuiBJjg2oeCB%20/2uCavi/E3ACFnAC//rrivcbihPQBq8AtxOohmUbhm2TCijgCfpLgQh4AZZkSQTYtQjgAR6IAA2o%20yaEgAAK8gH5MnZfkgfjjgaEwldgZlV0hSWGyQA68N6+IANjxpVHxCm+6t1PJt5aALXYCDIM7uHBp%20DH1SOHD4Fu5wjIbjp/mZwfbBr4G6n8yAuIr7hotbKI0TudLwDLkUjopbwopruZVLOcl4uZjzqI/q%20BioczHOwwgvLQg3bgnJYQ55bzEL0qcWMzJLaOcqszBPxOhRBkS/gO77LTM/8TNBcGBRwgwn4g0hA%20Hx6TQ5+yqYdJOvKgobhTRA+asQ0CIaNzmARAhJuTOSsgAzLAxE0svP/BoyIrUQVsNAPkxMYqcYC7%20yUUzyIQxS0U0yIRBcAVVSAA0QAQzYAMyIAUkE4ZbJJFdfBCZYZAw4sUI6QU3IAULgIcLeIMBUMmZ%20gEYoaAJZkIAQ6AMaEIM+eINHOAA/cIMEMIMyKABupIIH8IRjOINPiAZpkIZoCD5x/ARQEzV1RL51%20BAYhCDV4BAEguL5bA0jva4KBJMgT6AEN0IbxAzeIbMgIeD+gPIHxKwCKlFGgNIsYwL8TZZWceL/2%20k0ZnC9ILIAAguAMeIJzvI5xSaQIJ0AKuCD/9E0iv6IGZpBQNSAEtMD8ecAJAKIGOdIRcagYo+DVU%20+YgHoIVe4rWm7CX/olw33qmlMjUnwOSWFWxBO60vspxBs9TTsjRLG6xBc5k4hKIfj7MouqzLkUtC%20HFRCRV1CgVnUcGhC5jAMe4jCd8iHc8BUwqTCm7M5m3vDrwvVOPQ6n4NMy6zMDMuwwqxCvrswPUKY%200MxML5vVFKnVzzwFFIiEA0CEdxBEUfWpHIup76COh4mYFIJNGXLNR8SYGLoHFHmH1rMBaLABNqiB%20agXOTAzONCiAHqBRTzgBTyiAJvAEEjUEEm2CSTABEyACExgFIgCBIBgFACCCUfAEAACAAgACOVAA%20OQCCJiCAJliEJqhJDVgEDRjYgY2ARaDJIW2CAWCBazCECxgFOICD/yfwggt4AEd4giZogTWYgR0Y%20ARHggFLigAAAhQOIAVXIBKM4UMgCARqgAQkogDA4gAmICEH4NBmYAH8IR3/4WQn1B+QLPmDQAwUo%20jI5YFWXrihQFSJAsgPLjCoOUyW7tgY7sSIiU0f+LANThCR31SJrMSK59phhwNmHrCpawSB7QgP/T%20gBgAAB6A2xBQABbw1xMAABmVP13rAW0QU5OASJq0zxKQBTfhhwJoimyKrrNdSWPZwAcYplwqyVu5%20JlfJpa6QCmbJShbsJ8boXMfwXHEAB3HgJz71p/fBgfyiQbasDM2AuIVKKB2MXbgUjkMNjke9XZOb%20y7vc3c3Qy0idGP+jiS+FQZFNHcybKweuQ17lJamRSqkvPCkvfMwtGIfpnYctmAeuS1UMw7Av8Ex1%20mIfQtIfP9AZbrVXy7bt/4IMD+ALEuAc3bF6SaimcQjqNSTrYvN8ROpnkAKKX4zvDsIJGmFZqtVZs%20HTxOzAQxkIMRGAExkAAJCIIHDgIJlmAgWIMNuGAQQDUQ2IAR2IANXmATGAE5kINE6AMTVoAQYAG6%20ZQE5KIRCAIIBiE9x5YEBkIMUkINjqAQ52IZEgIEnqKwWaAEvGIUiWAUQUIEiQCUOUAEQ4IBSKIA3%20SNkyKAOj0FjDwoJJUAE16AMnKIQAeIRWCAA1OINP+1l/WAYzHj7/fzCUnkXHUMsBpPWGGDjRiExR%20Ko1bGs1aZwM3WYDIHnA/71u/GH3SoYC2gw2Kg2XbEyCAa1ke2Po+maTJFEiBGC6AB7gAHpAAJ1CA%20SuABLQgBHrgAgeSlXjpJwok21DGVZugBWVCAOzjAapBJBPCVk3A24RmWXEsVgATbfWumDvyI2IIK%20AXAOOt1chHuMxWgMz01m0dVTZybdPCVL/1rdtQzU1+WGjZPd2N04uqxdjLKoAuMM3r1LbpCM1k2A%20goG5bhBeL+OjTM0HePZUm8Ne7O0wHsNecZiHHtuxfP6wk5pegKbecfAwesbe6y3oediHeaCDbkAB%20FEARhu4G8b2r/z9aB3vAC7xYZ2+wB/Ld6PiiBz4wAETwsguLw9UUBxwjQ5UOKhmasRmTIRqaIZjO%20sqFyAC5LmBrggxgeACf4AScYhB/4TWwds2IoBkiAhKJO6mIwAqMuBjBQaqc+6mKwBaQeg2zogmIY%20A63e6qIGAzAwAq/2aiMAazCABCPoAqz2BTAYg2I4BFtg60PoAjuwhDEAA1M4BD2Ag0OAA0uwhCzI%20gi4gAk/YYCwQgxwogBpohAEw0AN9hTMoBRYogDxohVYABQ/wAEEQBA7ggHZ0YobQBEIoBcrRUOXz%20HBYInXxYFYis0bulyGI727J90WVjSlHJNUcIyFxWPx5IWGjrif9jpMkIgIkIqIEFSK26MOUTqAEN%204AEV9oA3AILiBgAJAAAF0AQ56M8QuAAogAJdewDu1jWH1W7wg4IHkAUbcIIwUIIU+IGa1YDyaYMF%20gAd2agPxEbdt01GcIAtYSVNMKUqVQINyw8rDQIEu3FzGmN4uTOaDW3BjvtM9jWbLUMvWTIf5GSh0%20cAcKn5/XveYN/+ZD1WYcbEtxJrBxNhfJkIxyroyJUWd2zkx4zod9qAfjJcycmwfE3DmuS94cL4ct%20VN4dx16FDvKELmgh74Z6iAMkYGiGpuh8AKQ/god11uiO5miOJt82qIc6MIAyeId3WJgs9DFzQOnw%20ENaVdjKli6H/GnJNYwWhM89NSoyDVjiAADgAOafzA4AGV/BNVxAzNmDrozbrrDaCrWZqqNbqqbYF%20PTgESMgGO2j0RucFSLeDbDACRf9qMLAFW1Drrx7rsh7rMfD0ot5qWzgEvLYFDrAFI7AEtO7rvt6B%20J1BXMQgBOfgBJVCADsgBbiysDSiFDpAANpiAVjAAYnCIUoCBkW3HUlCDUmiIVdAEDtAEol0+Djha%20w2i925ZRrhDRXEtkhuWU1FmtZHodv01TAvw+1alJriUAikRlG1CA/YtI8XuKAtACBQgAA/AAQGgC%20ANBXBXiDPhgATtYBf8+BGRCDwQUA/UuBNwiAFLhbAOiBHigB/yeoASe495rFBRYgAW8YOLi4HpmA%20LZRQP5ZoyW/ab19SJvChhWFOwToFl83VJwZfjM4N3QZvDNLFJ2l+cGre+QjHZhCX3Q5HDW8ujXDG%20QaOvZp6HuBQ/8Uh1wnqQuViVwszs8nWQ+qrvctSzeqnvcq7feq/verCX+tD8h3XIBEaogzZwjutr%20A3pwtFN4e7g/hTY4BQJQBgKgkzpphGkoBAMoBENQBrmnB1EQhXdQMvnlKXJwgEasDrtjsf1tu4/Z%20D/YgGb7zhgUAAjVgBmZIBuYzYkKggSuYAQ5eAXoNBdM3gklf9EnPhlAwglDYg1dg62zQ6qc26nd0%209BZwdE+YBP8X8IRDEAFLoABbgAMwIHVLgASvPuqn/vOihgS2DvVDH/WstgSohoQd6AS0noU92INZ%20sINS4IBN60bDggS3HgVX+IM8mIIlEARS53w9EIGRLVoV2HVNWAJ0lIFgCAZNWIYAAAhv/7wJQFPN%20kaNmD7A063EiwoULEQA0udCkiSMEEhEMiwilGQIoEaBAIQClzUkoiwoUGKClCYITKU5osUFCQKMf%20fA7wyRWmThgDZQjYqFMnDtI6O3k+qhODzY8CTpxIYOHkTqGshX7wSCGhjxoJjiI0a1agVy5SkSLB%20MgBrmqg2L0QRgNdmgQABC2jpFYBF6gsBBAjEoEUCAQoSiRf/3MRLwsqpf/T+dauHYhzmzOAwbx7X%20+bPn0JvBkS5t2jS306pXc2vt+jW3cNxwxK4tW7bt3OF279atmzfw4MAThCNuvDhy4jgSJOCWYPly%205vfOdRvY7Tr27Nq3c+/u/Xv18JTH/1sX55Gqf5IF/oMnmR48u6KUcTK0bVsuQwXwROsTzYMH/xlQ%20iQKGiHKKKPjgc8+C5JgTjgPh1EIOORPGA8GFF9YSTy0QdKihhx6CCAGJIZb4RTcEAbAKM8wk8yIh%20MfZBQxJJXEHDCBsY0cUYoYQyBiRGjJHNHkYYAcYQPmQzBpND8sijLbO0YAeVLrTgjBdeeJKMCL7A%20IYIItsBg/0sXYFgCRhdLMrlkMU0yCUYxlhxyiC2HxFkMGGMUsyck14xCJZW82OGFHsD0gAUWVFCR%20KCSQWDJKJMRMMcUSKoBhCzNLcKCHHhxwIAIcIIigCQdCyCADMTIsQcwB9KwDjzfVaEPWQog+AJEG%20FzkSkRdAAHHRCRqcoM0JPQDBwwVjRcASD4ZAIUoKAzTCUq48ABEBDxrEsEgKSsDSSisG4NJKAHxU%20YwMZNZRRFB98RPLIAaDAgkYNBugwCA93DGDNHXeEcQDAHlQSwgVAqBFAMws0o4Us95QxDVuMwFVG%20LgrEQZcoF7yAQATBghQBxzycQAAJJCyyFy1teLPOC2ggQP8LAiRs24Z66qmDGQqjkRYaz6CNJppn%20qwk9NGuwGZ2b0bf5pjTTudHWNG84RL0bOOFUfbXVWV8NHTg4dJ3A1/mEJx7Z45V9ttlpo112zW27%203fY66tXTChltt0EP3iQoY4g00tyXCx54wOIBwLgs448/y8hgQDSVBLMMLtH0giAiKKijjjjl4IND%20LeKYQ2E4FdYyuoQlluiA6amTWAvqHZJYTjd5AUADHMysAgccWWShgi1wwAAHBWD4YEkiO+wwCvJP%20WFKEJ6MIAgwwQkQPfaGffAKMPxwcQwkHnxzzyRngV+IBDZ/4U8n3ldBACSW7gPDEGmvAbzwFozzR%20xQ4+dGH/yQ6W2GKLJSyxvx2MoQtl2hOTZmEHBdrBE54Igh7OAAVFKQoLPYCEncDghz+4IQ8cOESj%20fAEMHXSgEmfggA7OkAQdaGIJpzKVqpbAAm8IxBtkaEQ1QCKSrixCAzbgSq5YkgIthKGI1niEFn6g%20AQ1EIAZNEBYPugKEh/iqAE0ogLWOhUWRResRHoDFAVpxgAAcQAM1GMQAlACvb4GxFR2YwAEWoQVi%20CMEALNCCVw6Qg2lMIwWGKEQHOqCAEEigkE14ASAGgAV+qGEGz+jBM6jgAme8whkUpMIDMOkCRyiq%20B4rSxiOx4IhJFIAAC3gBKgWwsY3BrAwkkIzcLpOZWYJD/5azpOUtg7aae4CDl74kmmqOZjTaPA1p%20UFua02wjnNjsRmpRgw40nxNNHHhtmglAxD3UUR1voO1t3vwmOMMpTrfFTT10Kw/NJmOFOEjDCgpQ%20QDQaZz5/TEAIwYChEISgOFwcABa48EcwZICLafSioGToxQe+cA5xZI4c4nAohSJaIQnVonQdYt1F%20HVCLb0AgHB4aXYi06Y0FAKEIyVBBFZihAmbgDngGnIUllLeGRMDgE50Chqd2QAFT8RQYesin9Hax%20C0pgL3o8lcFRkSqET+jAqEA9QxB28LxPUe8QTxCT7mxhPDtYAhhhwl8X2pSNLkACTCI4BJgOQYkV%20AKMSiP+6pBcaFacJcDASS7AFkJghhA4sAacdeMMZWFgJFyL1hUt4hDdOsTIbQOMEBUgBVZRQAB9G%20ayZd6YoWwmgNoIRhAGyoQQpSUMquFKAHTpDFCXjAEgAAIQhOmGITHLusFLCABYWYRhgaYYMaEEAJ%20B1DAIxTAByX8IBeD8AC5HvGIMAQgAAYIgBOyxQMFwEIBjVhEE+QQAA/IoZQXMOUdnMCPVWgiGbK4%20JHrRmyhMKmohi6LCJVZxgmEIAAExuIkALoAABDCmDCiYTCzHkTM6gIPAOeNZLjXDmZ4tGJgOBocw%20XUObCCPzmE0jptKeFg5nTq1rG0aO1JQD4uc8xznRWU7/PbY5zhWzuMXqqeFAYhxLWNTNVf8gwzT4%20AMZITGAZMJRBMHoM5GUQeQK4wIUf3AILN+QCFssIMi7AmAcDREIS5VhoOcBRDoZyWRz4AAc+yAEO%20c5C5zGYu825qcY/RjY7M1NGLwVSQ1SrYwhe2MIUR9jCLLhziptD7s1H9gb2jKmAAsDiVDiomivxI%204xNKBeoLEycDHTAunpXQgQw6AIsOCNofPO2DHM5wxQDAgBJ+SgRQYfCnNQBqDHM6qwg4ZT0ZfAIL%20maygJ+a0Jz8wIhCMAEYxeFGMZAhBBzogxhJIGMi/+uNUAV0GHQMgAPf8oww4JMMAspILZRSgDmkc%20wA8G/5CCcGe2FT8ZRC50+8MU2OAqd9BCCQBRAlmIIQhyuHchCykGOeRADgq4Qx8UwIJG1GARNeCB%20EjxwAgTkRQDesIcqCUCLF9BWLk5IQQBcQgABZFbgSkTlC0ySF1O+MwxTNsABrOEENmhDG7JwwSVb%20QMEWwJwKMpekol4xhGaQJLYSKYCymkEADZDAGwD+Ah3GQeClg2MLl7FlgqMOmqBR/cHB7BqEsZ6a%201hDTNxVO5oVjQ03lhDg5IIaONNNuzbFTczmISECKZeziFsO47jG2u93DaYUD9KJm6+ADkYksgycP%20/nBGxgWV3XAAxMPCXZEwACNygYhp+BPIf5iAAQwwhf9IgAPL4yhHOb4gDtF3mcv48PI4St/ldijo%20Hl9QkOfOsQ6C9GADT6BAAHMvpD3wYha8OISnOABo7GFDCNpTQCUKCwsWHFoGsJDGWxadi1x4+tEy%20OJ8HDCBceAYAFoPDhbGzn89mf6IDnzDABeRQCegFoQ+FEgKnujAKMMziT3ZwgaC4CgNsWO8TiQDA%20JUTSoniCXB2CP0RCLzCCP4AB/h2CEDhXBxibJhibsSnOCy3DsQWAPbBHGfxAGdRATkyfIRRFGhGX%20EmnADxTCI4ALHxTFbrHBIrxADQRSDgACIQTADNhgDqwAD+7gCtxgDtBAAORAEAwAECyCITSCAvTB%20Vmj/wAucUgxowGNFSwzkRQGwgGCwAALIgQ0UwAlcwHQBDBCIggC0gSnphQbwgAD8AOEYwAR0ACis%20iiaUghq8yCo8wyY8gwu4wDM4wx5OkqK4wCZ4gSPwYQ/syhOZxAWAxFhoQDXQTM1YxjwoXWckHSVG%20HSZ2hoL9jM5YHYR5zdF0XTHBhijOhimWomyg4nJ8WNlJTSsqByxuGNkVB9qx3XM4ANyp2NztIi+G%20U9zcwzn9QxusAxn4geIEAyjQ1R/wEx/wUSS4ARJIgiKwBR8EQiA8Xh4ggTK4wVrgQo8FA+RNASMg%20QjeMwznMwzyAHuh9wTx8gTt+wTjA4yTGo4CNwyTC/+OWtaM7tuM8iEM3QNwCNIEJGI/+KEkoFIkl%20GEEodIHwRQ8HsA8MXIEJjAAwvEEfsIABKNURZaSq4EKqKIAHTACmLYGm/Nkb5ACAjFEreMCyUdo+%20Gc7h4YIMTEBbEIMBKI4CEBatycEKXMEGSMmUBOUsPA/0HMMKNEEIJMMMbBIQ7IItxAkqLAMpBMIU%20cMAQUIEdqMESzEApCMESlAIhlIKm6OSQrUoAwIOroEBRQEO3DIANLMIiYAsPGKFjDYZU/IAWKIEN%20xIDIYNHCOYIHNNIdzECMxEgIrEAIHKYYAIEEzMAIBIEEUEQTAMAA9EEfhEAjXFEKAIEShAAL3AFK%20vv9BB+QAEHihApxAEyiAVGgAAciBtFxAZQZACBQAFCwAATzRBUDBCwBB93lfGEVZI8RBNaABNAyC%20NuTQfoUEFCBAMyTLAzgCRjRBvqgBIRCSBAQBD1REMziCNmiLwwFYPdABCswDCiSdeaIAejqd0wnY%20etajLEGd1G0i0PQSOICNfULYfd5nfTrH1/Bnc9incxRH1SwHf9bicSDHhrmiKx7HKxqog5IYNEHH%2029XDi/WihV6oeqDAP9SDUGwoCqhCHIBR5pECEjweI0RCLhQUEnAjNCoCKdTBVLoBIzACH5SBG0yD%20KigeI9AkLkyBAZjBOXbDOajDkA5pOagD6J2DkhL/6eUgKeghaT2oYznMgzrUwxdEKehdR170wAjs%20AFh1gY+EApGEgiUMwfQAAyV4AhFQwAiYwAxoQgBooQZg2uJMADGkyqmgip7qgAsBFQcsgWwGwB0c%20gAeIZiCJJih4Y5H12JNNwAScCigsQ596ZT7JwBkAgybsgJzRXxfYQQuAgUP6XzQEwQjMgBqswiuo%20gQxEjx5YwgSQwjQoYBEcJAisQjKUwp9yAKkkW1I9jhCwCg0NRAfqVmjVgCHkQhOIlgQ4gXSi5hMt%200RLZwGBEALYUQMEAwh0QAj/0QAkQAiCYgBwEARAAwAUsQERURG02ARFsQx94QGcpQA7kQHMZKp/q%20/wAoaMIb5KsEBMBLeEAAvNMA/KtlsoAEgCQNDFITAEEIAMELtAFvIh4jwEI08EQjyEQUnYAs8AM0%20lEBrSYAYAIIEdOwIcOx1KgBh7uAdDBJVyIIsWBHDUVtljKd5Kh17Pp160uwWCFhnyJIm3lLPTt1n%20mIYu1WfWeU3Rfg0o/qdzBGg1Yd1/UhPWeY3VlF2CVi01NROI0SKEbu2Dtt1zIIIDoAGFDsQ7qAc9%20VAd5gFM3nG04cROM9SIkqkc5/YMqGAAfkAEZlIEVsEUaxEEvxAESTCMpuKgiKIIbDEIH3UIg8MHg%20koKMMgIpWEAdpIEooEC7lAEsTECSsUE3oECK0f+BOuTD5XRDk1ZGN+TDO4iN2HCHkrJuPhBEQM6A%20JbxCmPrIJmyCD5QAEaxAswnaFQAAEQAByy5cy9ICLXQAkJ0KMbTCneYpDC1BB2xXFtDABuhBKchB%20EoBFBJJksk3gqlwgMRAZnipv8jqvVy4BvnZKESSBIOiBIEjPpugBDBQBEaiBWKqKWEpPIuCBP8AC%20Kdyk9KAKM2QDJJiCAceaJmilqQRDQAXDEgjBARjdQFgBD0BDD5QWdPZAD7SANnhCD1zAA3gEokDB%20CNuKBREBIATBDKzADDDmDEhmROSmR8RwRMhBCBCCZQbc+FRCBPawAQBIK+TAHQxhVYRAE3hAbaH/%20pAcoQACoQQfMAA3kgBpYZA50AAo1wQKkQB+Q0BJMwBs0VxAv1yNYQyEc0TTkQbscwHLdQhg8Ah88%20Qo7xQR1IQAjcAQu8kxY4QQkUAD/IArXCyoutQz2gwdOVJ3oestI9nYChABqMAyE3ciNfxj3Q7CRP%20siLDJ4JpRgKMA9iQRid7TSfjJ9YR7XJ0zRZArdrVJ9R2Tdt5bSu/MizbYtfWIiLgQC3jgANQ04RW%20qHqg7Tj5sjixR9sIM4vFjUCgQRsggiiUweLlQS+gwBcgQisoAgogAiKogiQEQuGSAikwruEGbh5E%20gou6ATfPaCCkQSDEgRncAxnEATwUBRK4wj1U/0aK1cM7dMM7nEM+4zN1iA11UEd3APR1cJOQUgfs%20NsET+EAoKLTt7kEovIIJAIAc9C4wJEEPNIEoJQsPyEIAdEArgELzAhko5CmQ/RigHqYJJMIZVIK8%20bvEDAxWy6UA9OVueBhRJw5BN56kO5FNDqgEIBJ/0qAAMiIBJTQIh8NWkeYDweQ8lLEPm+YFM5qkv%20uAABG3CLkNePNfCpHAC1eQManMAJNEPLLSIIP0ALOGcLOIIGV0QTXHRbA8AkEEG30gB18uAK0AAN%20BAEAeEJrEYEE7IAnjMB1PiYWAEASgEBzlRAXG1sHINcQ3oE1zEAdt3AKhEAAvEETsMAXB8BWvP+B%20GhxMCchrCTRXCORACgSkGrBkB4AmvyybRweAGD2CWyhF5kVCDYBLGOgELkTCNPAmIGjAdmlBBAxD%20BABCCjRDYARredABcze3Ix8yGiTdZUTyel5yI+NMZkRyL20yGjDHffLSJo/GJBMtedsnKDct10QT%20K5fGeZsBNbm32kFHgsZyLHOtNEFTLuMiDrg3LuMyIpgB3FVoeNwzPhf4PR/42WwHghN4d6SNN83t%20PyBCHZCBKHwBGRiZAZDBZJQBLqTHQNQDJhSuGygCEgyuG5y44UYCH5A4EvgaIyDBPUiCJFiBFYBo%20ecCDPaxDitRD3Og4d9hDdgD5QKcIkVPGQAf/a3YQRH6JQSjcbpjebgmEbA9Fgz0tQSXIQRvAAwEc%20gAzkwQH8gQz8QaoQwx8EFJgDmU3f0z3RJDBcjz8EHCXU0wKPn7H96Y+RNJ4nb5rP5Km8tA5Ugj8Q%20VT6Jih4MQRW0wCS0nxBMQEcrjj9Ew+AEAE2+kAwYAS/wApBAAhj4ghpogrMxcEkvQ6tIBjwYRFi7%20nAYDABNMwiR4AROUAKyP68eWgBzMQAmIAcfOwMfaYB/kQAjA6zsNknUypgLc2wDwoMaUdhJcdrwq%20wG+xALyEiwEkagfQwBuQUAg4QSWwAA/8VUezwAC0LBZdxWXBRGxBwQkoQCA9Qgx4Awm4Ai6I//kf%20MEIeiOMUgMLmtcKM5gE05IEfDMIgmKgiVMNK3vYB3MEPRAABoBYBPCIgr4x4lqd4RvwhoychF3LE%20C1gkK3IkC5glP909VDJ2S/I4THIje3d9ejfKq7zKRwdzAPjK4wAayLwqwzyJ3bwt67LO5zzP5/zX%20Lod7O8DbPcfM13It57LRI8LYEvQ7WGk9VOmVRr3TY4eRv4M6WL3VV2mV1gPXc70g+3h2pO3blG15%20kAEjxEHZlgHm4ULd/AMfTAEKFPg/sIKIk8EXqIIUpMGKIsENmMFBHRQSzGgv5EMasME91LgSLH2R%20d4OOiz3a0lCwum2CP34vY4eSNwEF0G6TP//0K1zCJVTEC9jFNPCvVypAIZBBRk7ASAcZmLN+MJR5%20mKe54CmVp3HALkB6s+lT4hwOLmhCC40v+QZ/+TobtCEVSSpVW00PDHSKizABRUhAs6GKqeCBMoTB%20EtiLk+XpJuAfL0BCMhwCHKwCB+QpMTQwMUyAAkwGPbh7x7gcP/ADIMzAJlzCrU/CvAFBvIXAYhoL%20rANEiUklABQEAoAHACAFFo3w8CZEAQAXNAQZAEDCijc0oIxIoiaAhCY2ThSwYSOMhwkTiLXkECBA%20jpA8dDjRosNDAB0K7oSYMYNFzAgF7pzgUQDBghQyPXgIEyNGmUe4JvxhFGnKlGB/pjxixAj/FKhb%20rUC5ivQHlIFbgwJMUPLogEotzZpVq1aDhLd/etehQIMCcGA6KEgAHoficGA049D8DZwA8b0E9xCj%20gHwY3D3G4zRrTjDu8+LJk8ElMH0ax2nTqVmjXm3ajAPYZtDgQJMAjRlwrBHxxoHDAXDhwYUL710c%20eAIHZhIUX/7bDA4ziJYjqvdvb7du6r509/7duzrx6raPNz+++7wv6uqJP/fuvXb58+fX6/buCxJQ%20af7RI4MLwDLeUceASOyrh45uHFCEQVX+eeefbixQJI0vTvkiF0WmQaIVRuJQhw0kUEDEDD4QoYee%20dfRasRvsXHxxL+xWjHFGb7xpUUYbI9Ru/x0BBCiABmbACMWHS4aYYQUAFhAAihfgOcWeaYKRQYYJ%20cJFhKz+mlMEPP2RYZplgxAwmzC2DEWJLIShJJJo+YNFhmS+XEWIZf3TA5Y0OdBBCCCr99LPPP/0k%2080ww/eGTyk+AEcKfTzjQYwkOVhkihABkEIIYKv3JhYBcdtFBBwMM0IEDTVzgxQUXnBmCGRoIWeLP%20NIk5AB4X0ajmhAh4ACQEFrQgpBQ1SikgVydOeGQAApTVQAESNKhGAFqqKeCFamMoBAgCbHgoBw0K%20uKCNAgLQYIA7HroghBxyUGOACJyooYBH4nhkipVA8QOUDtRQ4IRFLoggAAUGCKADAzoIQP+JoAzw%204JEAQNGhFSUMVuJHgg/+AZpqXDEArD/8yGMKRvyw6pY8GOFqkEdaGXkKUEC2ago33DDAjQ7yqCGG%20E9goYx0a+/qLjsZQaMMvUQBDI2i/lBYaDXCOPqwxNO7JzQraqrZCaqlxk0zqe7zuWrWwxU5NbNWk%20i84MMyRhhZU02GBFut7kxkHu4OyWbri8o7Mibt2OSxtw6e52gETrZNSOu3vAW1zx7s57nLt56mnP%20vHPUsRxy87pBgbz8QCHjwf/8wEWVdxCZAIl1tPuiHjMYRMJBCLtJwBUpUDBDmThIISUQWAxAohsz%20eukGEVWmUQXFGbHDEUYZaXy+xhdt1Gv/x25sXGCbUg5JxpdXhliFkA0uWIAAHlLYxgYCpIkTywmo%20DGaCkWX440ox/wzzfUFl2GWRMGCBpU/+8EeY6IQLnCRBE4EK1JZkkKlADcpPc+ITo4QADB0I8FAV%20BAYwSrEKNbwBUTIAhQKkoQwCXKNgHoiGAkIwgk1AwgjZ2EMoVlGKDjxQBksgBvtg4Q16/GMdZEgB%20SZxwBwVooQBBIEQO3iCLFPDgABEYwCNSUL4AvAFjP6hBCn6ghR+kIAaLCIABfiAuDxzACQPQQArC%20EIA+sEABlcgBukIQgpxoIQc2qEErItEKA9wLLQbrwBtYkAIA1MAJTlBAAA7wBgPcQQkF/yjADwYw%20gEZMpRVT0UEHJOkwiDXjETGoRh46gBY/ZCUrX8HKV1rhCkaADBRTIAYj3JCHex0gEn7oRR4MwAZR%20aiAT8FgHPGzUF8AMxjFFK4xi/BK1ZjYTMrdBhF/MwAZJsCENZsgEIujgNW9+E2xTKxvZXkO31NSm%20NglgTnPSxopM3CANrrjmIJCQTXYCx27ECU5sYoO356BNcNGRjjrXSbfdxIZEcavOdbKzHXHcAx/i%20EMcXJErRiYpjHPi4R0W/UI6OftSj3ynHSNVRDsyVdKTlyNwXxkEeeggjD1Loz39AQbp/SGICZOhG%20e7oxDzO4AglkaAN26GEfMrDhH4goYf8u6pCLPOBCEd24hySCV4ZAkAFC0GsejGqko+hRL0d60U6E%204CGARpzhEIeAQxWyAIMVEOECTQiCHCTAKwlEgAWwEiGWGpiWCQQjUw3Mn/30J4NSzKAEhAiAGmCl%20w0tdSghL6EMfOsC+KRH2TAyEIJXiJCYFcgAYGBTgEoDBATUQQgV/eoMWPAGFU+TiE5+IiRqScAUV%20JCMZmtAEByawBL32aRm40BOsAuDDFNXhFrn4QRgKEYYwXDInBuADH1wRh14owgCt6MU0rpIH3inC%20DeDNgxtcYQUlgOIA0LCGAXJwgAPUQAEHyEUHwmCuECwACHe4gxpa8YZW+NINuLjXyDz/NoVNvkFg%20LAgDCxDgSB4QDBpaMIQ0+HAAXMAiEjU9ACN8x1wPLIN+uWBEUBWRB4+dcgqnPGUeUOwGd4AMZJEQ%20GRLSYeKY+QEroPBlGWzQCBTspZhowBoaSGCFTMTACgQgcjOjhrVM0CZqUbsHIhozNVXEAQlIkEQa%20MmEFr23NmyiQzNTGHDaytaY5c0sn2mhjhhuYIQ2SAOog6KwIV7AiN2lzgBUc0Gfq0G2fy+nzc/p8%20toAGlDln0zPaBl04ht7oHOW4Ry28qVFLQ1RxEvVaRDdqUYlKdBzjSA9JS4rSL6hncY6T9HruodNT%20/KMXEzCAH8rwDz6QTqrz0E4akECK/1r3px6sq+c72iAKQ8RhGr2ABSgicY801OEeO+sFGU5BD2+s%20o2db5er0ujq9GLmI2/IBMjwAcIwq2MIXYMiCCkbQBE9sQwx1VFcOtFCDMPgJFMSoSl97S6WW8DV/%20sQqGbzWhhhx0oIE6IMYSQKXDJShAAR7Qa8CxpNn3EQO47ItTn0q7BAEySoDAWEIRCDGDiesgBFCA%20AieugQdcUMInIICBIHY78VgxygOw6MANA9CNbMehDj+oAwsa0YhITIONrfBAJvmABDa4IRJRjwMZ%20cJmHSJACCZHIQx74MIhMsMEAE7CGEjrQiv4OIA4xaISe3pCTAoRAX3d4Ayg0YQM28P8BLH6oyh+4%20wvAOKECSECf7BLSgEidYQwF80AEpcoGLKUWCDIxYhgGmUQgPjM5joopEL4SRFa5MgSt8P1lWFJGO%20rIwMZH4IBCZGH4gUi+oW1jhAKw5QBmvbqA1GrkaX2RAHG5QByaKIcm4y8fUylGHIzxTyNK2QBjIM%20og6DIMNR2QA4KlPZNF8W521ek+ZzmhMNDgh/ngNnBlaowgJIAO8t3HALp7+ZFYwWdHBIJGh++pPR%20AOUnQR3ACklk2f726WwMJzv+oR5MwxwS0BzAgQHFoQHBwQEjEAIj8NPEIaS+Yx4yRz1MaqTOgR0y%208D3q4RTaoNrsYxruBReswB54qQ3/jKs/amAAFCAMlGAAlCAMHiEMmk4VHEASAkH9emFlDmD66sAM%20VIENJoQdtgA76uEcmvAcmOeHIkTbplB6XGQ+BGABgIQZqgAENgAE2M0TgiAIVkAOVmAGCIEG7gAI%20WCCwwuROloBPdCDfLK6wBEUIYOKGIgtWcOEAyAQXSsAjOEAGgKEPKEGBEAWH+AqwqCSEdMDj6ARN%206MS3hEATYAAODkEPFgUYNgAL4qoR5MADWGBgWOAA/CSwBGVMJiBM9OQAfogevkAUciEFnogHfiAO%20GqEABiC7DsBk3EAKAiESDAAXwsAGpsFkGIEUemGXQiYSFEEScOEPWqFmCiaT0q7x/5bhEWDBAxTA%20BgxADe6AHzSBGJSgGsJg1kCB7zyGGP4gD4ihA4ziDkphvxTur2TmAFQmElQBF7SEFE5BFR8BGsKA%209hhhCuZHK9wgDU7JY/guxT5vxdzgY0QmlbSOHbcO9LLiEXjJAA7gBQSgRbyBAHoACIKACGRBDCSA%20B4AgBZoACqYMEUiAAJqgB5JoITTACkQBESij+DLhL6wsRLoOCR6hutiAJ4XMmYwyaLgsaKCMJzPB%20/9KgaXIDDZ5sKoUsDjQAKjRgV2SCkZwAGqDBJFIAGpQgBaohBtCAAO6iGSIAGpygACIgBtgyBU6g%20BniAJLSBB5woYxAALs2yGU7AGv8C4A4KgAfEkCCIgAiaACFewIfGqh68KQEdkBwokALBAR8sEwLL%20wQItcKREDQW8IwMzcDxQzaMmqhzYoQklpx7ewRWjEAnyABZaIQ1QYBDC4C9uchEMoRFIkZECwOzc%20i+viLBAC4f9eExciQRmsIBeIR86QgB3YYXm6wQnHKgqrMHqo8Nuqpxt8BEjWqgqq4ApAYAQA4Bok%20IAgAIF3WJQfgSOOWYQJA5VBWYgno8E8m6IGEICfycIfQxH2CARcKYA2SQBCBIQSCoBB14FL6reII%20C+AeSwguSIIgaxkYjgPOQBBEQAQOwRaKQAU24AGgYAcooRJY4AU0gAUeFFZa4hT/qWQC8q1K/GAZ%20PKADDuAdIOQLlMEQNKAJJKkAyKARamBbOsQApiASLGCXwuK9oIEgY0YKJOGpiJQM0sDxpoAP/OiP%20WqERlCEM3lMBpmEjG2GRAOEEOoAY3oANBqEVVsJjtsJj8g0U+MEJZiAA+MGRWsJjGAEuvIIURscP%20roIRgsEAFmEAOkBM/mAdtYIdg4HA/iAYUgzFviKVIDWVQAZSQeb0ussa2MBHBgQeFiEIRmADxEAM%20ZqAn7oAFAIAAcFIURGEReEACRiAExMAtF0EUvgAFygD6sOmocOPK2o/O0EASyIAn/cLIiNIKjtUM%20yOAWXMGamJUN5An61oLLVMEM/+iMKNkAW6GhEWzAfJwgBO7g4A7GGqxBC8ZVCcbui7Q1DpzALm3C%20K9OIXKFhAMbVGpyAHwbgXqGBi6DBBgqADWQhkQA2CLRgBCTABEYAEGBVAhhzeQwwJ+8BAs1BMimz%20AilWHLbg08YBo0LNOzzKY08NPMbjHbqBHk7BZE9BFJSBEzjhF36BZTlBFF72F2LhF6IAGZABFVAh%20CmwWFXAWGz6BEqZhENqvDHqBFFoBF1rBDKwgEP7BCoyWDxzEZOGhPlykOpkHO7eKesSNO9WgCOBA%20BWBABa5gA4LgYIFAApiIK9VAJTjrTPyhAyaAT4iBQWMFS8DkTBZoIw0A4+CQtP8e8RgIQA46QBCF%20gAYUoA/e4BN2zhHZhxGnZEUZ0RH7RIHgUAjeYAVGwRJs4RJFAAZgYAQ8IRCBoERZwA71B1T6RAfy%20RCcOgKjoQRVwsQl21Aa09Qd4gPaedAo4L+8MYFvzjhGidGVwIQ+cr14mIBj9KC2UwAoaYSVaQQFm%20tBFygPY2hm75KJcYle8I7G75QAmU4AckxgCwhFH94BEMIAwARBVxAUxwQQgMgBacgG8BS0wmAJW4%20RHsLTCFPbyFPr0tSDPRgpkv6tG0yAQXowB5kRANCgBBWgQJ+YonURQyaoAY0IALiiggYeAZGAFbd%20Eip25Q5mUQucIAYI4AeMaIT/geAEbGKEj4IHWDiRUsAmFIBcAaFeE8Ya9OsetWAQBuDw7gAaTiAF%20fNgJJKCuYHUEfkJYCAFhfaKOeKUnAEEOeAUQxKAEnKAESsCKS0ACnDiLSwAIwJiLjdiIudiKTVIW%20AAAxJ2ESmIAJLkEMSFcAxMphE0ABw0EB87gCwUFi9Vii+HhjRU0c1GOiQPaiwsNy1gMF6iFlJ0wa%20tqET8IBmVzYWaHZmo6CSY8FmkWFnO2FncTYasEEHYOEWFOEWdmfDOOb4SKH3yKAOYCEO+oNFxA1G%20sDZrX8TaolM+vGEBACAJvtYSVQAEKMBs5UAMkqADNEFf3kAT8uSyOMsR6/B+/6hkCSSIgS5M4iZx%20Ei9IDmpgBToAGAbxDc7AAzgAJxAOUNCEgOjWDuU2hPhkQpcgdFtgFGbBDoiAAqpg5orgcAMgEXiA%20AICgKRKXmRU0su6T4fakFcCqDHJBAuRAJX/AFo/iAMLgAGLJD9wACcACFCbgEQYh70DBDUhBZFo0%20Es63Klo0u9gXFPigEUDBPf1hAsaFkUSFKsakXra3SzArFxphiA5AAWABTObHD2DhAGwAaVcCQNh3%20An5gEVjAA0IGHYnhlL5iIa96ZLREf8XEqrfildLR6rrEKrZgH/LBHuiAerxBA/qABtRABUqOEJZI%20DWgAKJSAXTFiBlbhJ2YAJP+0IAUaQQKsoVf0C3xTIAByIgd4gt5kIgfCQAtYgAWMKAfuQAsqu7LP%20tbJZWAnKlbKtIQzqFU5tAhBGWAK0QA7q6BJG4BIA4Q4AgR8koARCwK7EIIpDoItnABDAWBaAAAhk%20QYvXBbF6mwi4OIzjOLZjVQx8Ww1mwCdm4BKe+xKyWI63th4QwbpxoBYcIBywG7sTAI/zOAHDwY4l%20tmLLWzMx9tM0cz3UoUbZmx5WFUcdeRukoae3wb47Ab/xOxFi4Rp+oROuIREogZN3NgpyNhVCa+n+%20CBeya+vcJhIOYBoMwRDw4BpgttrgQZi86mptGTs5/B+esBvswRvIrRRoIGz/swAEaKAKQNUETE4T%20dGiQlHl8T1ea34d9eoty/WQCGMEDHBFUOAC0PmEXmqAQdIJK3oCJAqASGi6EGFGH5pZB95MR+wTj%20loEDQsDdPGEUWqAFvMATLqAFBCEJMvETaKBAZ9fdAGAUmMAENmADZmADiuAMROAMgFwEYMUD2gBC%206MEQYLBAS6IGyqAZ4sUaWCx+iJTFwsIAvAItwoIR/ugPWrRDWKIlRCXfJuAA6oAqemsJAqAG7sC9%20Lrqv7hEUviQPSkxMwq4DCKAAckEOmitU6oAU+AAUWoEHpIhgNlIBlCAnSACKPAAa7AHs7FdkRIbA%20HHWAGVKsBZjvfPB/oQ6V/xiBOLEJBe7jH+DhAlZgCEBgCKpgr39iFUDgJ+D4EmagClQAxW9ruUX1%20Ekyg3LtQDNq9gUFADZb7Et583I8Ezp87i00g3ts4i7d4uIf7i03gi8VgA0LA4M3WBEzAB57guX1g%20E4pkBobASMR9E9r8uTfguS3eBJhgE5iACLygBHzgFcTdB4rESIbA3Z+gBJ4g3IvE5Nfqe3yhCobg%20FVS+BKBgAXTEAKdj0PBpcGqBu4m+OWTju/lY6fu4vCtQpcSjO/ADBZSBDOhbGqYBD6ZhAHJhG4Ig%20Ea4B7PFbk/+7ExIhEXYBG3qWwKkhFQToE/xB31ZidEImyw7ADcig1fEgF/+kgRMMQRnagJi86kXG%206pankD58hAeOAQaSIAlUQAUEoQiqAI5pILIyRQdKQbdK3d9qHBVvnCoGa/IEaXU9YAVG4Dx34AAM%20oLEibnUDIAT6IOcIxh844OPmBLD6ZEzcs8nhmeBGwAS8YAd2gAhGwQu4nBLmigNISwgmAghGQPgn%20wROiX/qjX413wASCgK8phh4ghAyUgIWAwCaUoHbbSGWqoku2Tu/wJQBOJn4MIA9awVBjySuIQdFT%2030qUQBIGoKPfoI0AgoW1HAaULDKwbIJBPqCCPUKD5oCMAD8OKBDVaJuSStEUHCgUhwyZAQgiFODh%20xEkBJwMGKPjhUkEde2X/DIC65crNFEZTpvjx2dPnnz9C//w06udPpDxAgf4MOqVVmnz//nm7sMLE%20qyEzLnUtYeKSCX6XAM2YUQVOkVVVQBAiVHYGV64bRogxYWLEDDFcN/noGnYFiBlPLo0wUYIIXjGM%2073YVU0IMkRKJKYPd5PXSZDFiwV767MME5ipd5+IVe2nIhkurmRBhAtvHEBBDarP28dnEJCK8U2sO%2068NHCcyviodiIhwAFgHevHX79wWRGUQOajkI5wBHLe04EuBwkCBcglrhrHevZS59+nDm2IMj104c%20uffxxYn7Iu7ely+qek2LdEA00XggoCGiEMAJHolEwWAU10QRSyedxMIg/zUWXkgNKthgcwwoExhg%20AC64JPQHI4xEYoMheESDRyy/cAIjAW20AQ89zVn1Tzc6PsdjjjnuCOSOVVXVzTk6WgUPAJWcIUiT%20RYggwipcrSKEDFVOoEkHOiwhQ5fEdAlmmGEG42WV/hjQQZdCLLPMEh1U0sEnS5yRRCJAbCPHJx7g%200qUOHQghRCUeyDFADpTAUskKifRRySccALqEEMQsQ0wwy4BSaZiT6jDBBFuWIkYQIOxABACejEAq%20ABzIoAdWgoQA2yheeDEKEaP4MIons846Sg9ANCHAkGQo8asjK/1wwh0BPBJGK5hOkMctjEzwB7SP%205PFHMKAM4koexBDTyv8jgxjwrbjjTtAKGWWEAcoSB2gAjQYsBJADINoQMgM/jvQgyyWr8LPJcPzI%20ok0PAPRQwsH0hvCGJvjyM4ATdygBiAT8zABIDjm84UEOYYRxAMiggNIKIyMHRdRTfiSVclIrI7Vy%20zD0RtVNPoBjQSiberEMPPE2oQUEVWWw1hC9yhfLKJq8YUYUvKqgABwWq1TaEEUVXUQXVtT2xVXA+%20bJL1Bq88sbVfX3+9Sdo+vPL1VpswsckzRLwNm2tMiMYb3IgxUQLcsD0zySQ+MDEJ3bAVLpoJde86%206yyb7HG4Hbt64oInLbTgia6Xt+CF5Zt7IbkLmLfQxALM+fiFFeBxR17/LeGlR5566Y0ju+zhlHc7%20e/ORozs47bSTgDnj3FPOF73AwgiIsIgYjTQzIrgLKsg8iEwUEv4iIYapbL/9hthUAmIruBgAywRJ%20lUtGLrtEQ+H1yiijUQE4ekOkkD0+t847+e//jjrq6L+OAPpvR94QAAA+oYdjwGCBRWAGCFaxihmU%20QgZfksESNLGECsqATGLqEgeDAcIusUkGy9iTmpbhDzf5SQea0EElKpGESlAiCZ3SoAzitIRPdMAf%20OtCBPzhwjD5QIgAe0EGbvsWmSYGCUh601IeWwCUhLIEQZ9jAGlawhlHI4Qp9WMGjBHEMYJxhBMgJ%20Dtme4INZvIYJapwF/+GA4Ah40O8fi6hBE5pwgh6coAZsKAA0eDAuTP3BDZJgxB+IAYo6DGIKmJqC%20JCRhAD9MIBJsMIOzQMEGNkASFHmogRVsgIslDOIEGlhABE6wr2Y84AELwMIDXNkMKvRglVRwhCOw%20gAUAlOBXQAACIAhRCjVYQw1auIMWZJGDGdwBXzN4QwAUoAAWKMAAXZpApoJhFGwGg2UwSxlUenIi%20pkzBDXlQhBsY4Yo0DGKdknAFGp7zD3hcAAZcG0IohvCKGTCDGUNghl+2MjYzPmEDVJuBEVYRCr98%20hjW6qdvb1ja4wAVuVpZj3CiesYlJeOIZTNCVF3rghUnMSqST4xwRPP8B0s71oAcorZzmXDCJy32U%20c567XE0lN6sWVE6nlbODTEXnOS9sTqeeE53oNle6FxAJOtNBxHeemh3wZMc723Hd7cbDnfHkjj3m%204F052hOO+LSDHFvAAQ7AkYByIMFEsAARiHIhClEoQ67RwEb1qgehWMQCD8gomYeIMQFQmAwUIpqA%20B6aRi23wARfEqJZR3NCIQtiVQRF6ER50IAQdkIF+bagKHeYRJCCp4xyjrYc66lEP0p42gKlVRzm6%20sY4CDoADejhDEYoAgyxgbRVuUcOqrARFHWiQTMuo0pg8iNk1VWkJBlhCcXPIgTPsghLHOAMwogun%20DryhucEwLpeA4QH/QMnAH30AhhA6AAwxJoESQjQvoDqVEPM1tlKN/dAfwFQlIWgiCRwARhJowKQi%20CEIPtW2SHgQBh1UcAkq3xRoYNjC4w20CWN6Axz9U8YMClACPGjhBSlAJDWchkg9IaMUfLgVZbAUj%20DznB1iTJwIY8BAMXvfgBNKZ1gDjEYBCcUoAWUtAMDax0Ej0QKRO8wIRnYBRuadvDJZ6BhR5gQRYh%20AEIHNKEJUARTDYQIgBMCAI2NqUENpShFC7Okg1BSkGQjK2cgdMKInzwlKCbKA094Mk6zsiETVkAD%20LdBQDYiQgAQLeAEaBBCsAhLABDvwAeSKU5zH7QGjadsBo2uF5LfF/80ZIn2GJ1yzKyIwTqSfNvKR%20Q+qJTcyqB6dOMkgnClLLxRqkLSgyb0owiYQFrtbPYHUPOLdqkgq1yMDe1SREk7mOjnQHJFUc5jJK%200VFTlHOSkxURgPCCGtHjOfVABHW0E9XqfGc74g6PucPRHfFc53btAas5rkMOcYA1HNzgBjjYsQW1%20GiB548MFLMigDICfQhnIsCsyqjchvh7cRKA4ZGNJ1gEPCQEW0jBENCZgKUYSww+PyIUC7IqHvHLi%20Gp8AVDAMQIJ/rKMN3ahHPkjbDXXEfObv6MY78qEOnMt8tAFch/9ca/MKS4ADtBVEbrcGQTXQ4A3C%20tSAUO2hcMN0XTP/LsJIQJgDF5VrpGMe4QiJUQAlBAAOKZC+umCagADlUokrA+EQfOsABHRyDEpQ4%20wyfY+yYjRioYaW54trAZWEZUnYLf4hJt93sGPajhCkk4wxlUQIENrMAXQ4hw3WCzxh345Qkz6MEC%20KvyPMgyAB0AowAnwWIMTeHgQHsDUtgIRCWsaYBDS8hAofIILaklyArhY4ocYGdhOgaIDxMigJqwR%20gjtAcAYRjOBWmlY0XzDDaNrYlyzEAAAPxP2CWcYyKKzhAUA0TBOluAM/MpYDBRAxDNZwAhtikEkU%20WMEMFgiEIhjBFBOFs852joQb3OAK3IAGJIAGCEACdEALL1BoCbj/DiRAAIhmFQJwASMQHJCjNGzz%20OJvgDGZDNhuAFzvQaMHxOJOAUUg2K0QQOMhhNqHwNUxwCa9AOH4zBC/4T3SDGao2KwGDgrwhHJjn%20GZAROEBYZISTa17wGiJVZBRFZLMSFpewA7BhgkiGHJPAN4MTUkwgKyGFgtE2K5fnGruUbfVTD2bg%20AN+WHeaxOlYFHuJBHloVHq5DHriTO9fxHu0mDgzADWdlVueUB/vGCLhACiigSThQDpKQB7iQPLAA%20CxZxALCQB5EQDW2FC4cEM0LBCNGAEDW0cZUSBiuCDajQIJ3ACdHAQ7hgRHWwDv9wDzV3Dqbliqd1%20WkUyczk3WqRl/1rrYFpf8FrdIADwAASVIAJGFzaX0AUbAAJw8AalcAY68CiAUiXdFQz+IF5iEilW%20VyVb4g99YiUigA22cAVZcAUA1l9qIkJgoiUcUAnbkATA8AbH8AnveHdgF46UsAuJsAJ9YHeRAkUe%20Qi2dYj7jMwH4BSg64AEKMAIrQAgjMAIgoAIwcAWHYQJItgN9cziHE1IS5RcUVhVlwAI/QHpAYAMR%204wTFBA13EJATEAY2AQoy8CGdki0TkBAeEgzw1Skk9C06EAzM1QGt8CcdEAB3EAI5cAd9QANEuXQ0%20oDEhoJChAhYpQAAv8AKRlQsnKVitYDMK0Qph8Ah3wAbV0AwI0P8MEaABMTBoA4gCJJAJNsAtbvAI%20keB/U5AHcemWcukGbvkIt0B70KCWA6AFTsADGoAALwAFL0AAF1ASMSAAC/AcErgBT5BQSoNPr3AJ%20oZBQQYM1WZAFFKCZQ2CZQ1AYCwUCiXEJJfAEJZCEPTAZIoWCIDUZrkEElyAcJoCCVFgCw2aEiXFr%20kjEZpQIEQVAqBzMJowlSCeMFQTAJdwEAtMkZxzYJvskbvzaEtUmFmOGaiSFSEkVSuzEZtTIKXkgE%20QQAEbeAN9OAjY+htDnAd2REOiFAe46YdbIgDbPiG4bFV7KE78yYO7RAOW5CH3LAFCRAJUxBJfkBY%20kvAPKCAM+mD/iFMgIg3qb454AJAYiSHCMqBwPpZSdcuwiCDEcGGgAJTwichADVHwC3jgD/7wCTgz%20MlbwD/WQI631cucQo6SFc61IWqRVDqeFWqY1D1+gIwWUAsegAroFAm3hmVCTBEXwBsu4BGMXdV2S%20Qs7oD1XHQ5HSAZEiRcaVWcBQCVdgCw4JA4KAW//1J09qJW/QB31wDDQQBDRgj3aXBElwBVewCxSw%20AjNUj/fYB0UERbknSQTqjwBZJcUHKNd1Bm9AAytQF0FgaYwGgqJRNyYQYdc5CW6EZC3weQFEBo/g%20BADAAlpQAI0ADQVgA9VwAjZgE/7YCnzwLTfzhyc3Pn4gIvsm/4m40AqtcADW0Ap38ANK8Ag/EAYZ%20lgIDwA9NEAIKAAQAkKxNAAQXAAUX0ASZc0emI08K4KHj0wo4YzIRBwo2oAQ1EAFe6QgnwAMRgAAE%20MJaLEAPwlwIHkK02YQBuFqBwaQEM8H+KYAFIMAhI4Aps0K/VwAanegIEgAALsACDCQUEoLAvAIEF%20dAGEYU9MQDTG4QNPgDWeuRqnUbFYI5loZAKrwAFw8EAMuQqB0wNWeGwndWyYh4SeoDi5JmpekJyB%20g5uIIWpBEAQmECpiMAI4GwTY5wWO0AKOgFLE1gMmoAaXAAJhMQRiwARiILNE1gIA4Jt981G7kVET%20hZ1buxsl4P8DvNGdoyC2vAGe2UaezxEd04GeaxtV3+Ed3RGf43FuVGVu7aYeOFA75oEDZnAP54AI%20kQAif2iriuCvdYlnIXIzIjIFjhiXcWkiQkEMUzAUSMQmBlCTf4AzuFAIdfWJoUgJOoQzfHCIZkAP%209WBzMmeLP5darviK9VAOr7ujrnsOr/UOFRYEmgAHVQAGcHAIulUFYUpgjvcocbclapJDdldbffAG%207sUBHUAJ5mV1MvAJMVQJfUABqOCQTeKQWTECfZAEGGReHMBeHFAnu7AGiXAF13CnQiQIlAADn9C+%207kt3XkcBc0oDltsmvOdDWLdCzggpZEd0j2dFa7ABG0ABg2P/AgMFbWzEwHsQHHADAAtQI6GXCz+Q%20AndwByxRAGHgBCmgBD9QAwWgAI8AEhURBkrwwYVAwpHAByccB4WQCyGpBAUQAwWQAhpQqoXwAyzQ%20CAXwA0TEAqXHAikgDT+wDQXgcYWAByxQCHxQCM5DD/SwCItVMrYaZy/jE6CABKTgCmTAB49wAGHM%20fo9AxgFwq8nzIWiSPDjTCnnQxnnwCHHgCmVQDeu6rggQA2MZmLRgrghwAYV5AhHwlIRJAsyhIxIY%20AqmBT8zHFlpDG2LxNtOZNpwZHGLBBKsADCogGCDAyW3hBZpQBFyhAmzxNDPwQCoAAi1gAqVQpGyx%20AlWwClfA/1uczJAgIBlFoAaUUARJmgRqoAIzAAOrEJFDAAcAYEULeQUrEIwgwBqveWwAcGtBIBao%20eYSBg4LWqRhxwwQ98AyhwTd8kzcm0AVqUxcSwLA+wlTUwbZsmwBrSx3riW7wzJ7hoR2vIzsOYA7y%20hrevCw6vmwBIoBMGQAq5ALipShQWKlgGwKACum921rjiVBQOB6idknudgk03owDRcAyfOKLWcwyV%200Fbicpco8A4k3T/vgFo66orzUA/zoNKuBbtfgFpfMLs/Cg8D8AmmgDVqUQUUgJlhKgIERnTEG0Ud%204AE0sAt3ugtyoADJFUQ54EPp9SjHEACC4gEHJgjYkFsgIP8YCgkIK/AGRq0GjbKkgiCna3AFekAJ%20ibALu5AE1aUHHAC/MHAMRkcJFDACSQ0Ce9JDLlR1OeQBgR3WUSRFLKQJ5pVe10VgIgAHT1A3jQYG%20myAa49wFqREKGxDBcyR6LDAAEuASwdoSKdAICtAIvdoISmADfGADdTAAt/ADcdAIdTDDIRwGhXAC%20i5ALA0AGGkAL0ODBBdCRSqABGgAECiABJxEEAxADTR3YQpBCnXImhSAK8NAGJFAIy8N7knRilfgH%20j9AKbuAs+xZYEbcEHuCut+pWbnyrB+AGg0AGaVAHtxADohoD3kACMVANBogG60qwL4AAYPnfgokA%20BQAFhbb/320gAIsZAauBNcwAB8mQDGrQFlgzGFozBFnzCiYwGzOwGk+wCSrAAZqxGhvgCRugCaNQ%20BRygAo4dFhmLsZdwAT6gBxqOGEOAynihGGJxGCh4DFkhBz3rs55QKpa2CllABIKwAkQwAhtABBsw%20409AAS3wBJKaBDOAszvgm107g968CasRGiJIOLLRFakxAxVLAbTRmE+wCitgzvRzJCggHess53Ku%20zt+BHd8mt3kuO4gQPIggBdKBCL0wIjM2DdOAEMsQDJMifOMzMo2+E4zAuEvRhx5CdkvQXfTVKQbw%20CNPyIZG40RzNINiACykKC49AToPwBdDhP/3juvlQDq7e/9ItrQ4sXQ6kxQ6wu6OuJQ7PUUDq6Au/%20bgpwAAYUEKZXoJlZAANQknhYqgOIilsgAAZXQMCUINeKsii7ICglJwRtR3d3RwkqQKcroJmcfAVF%20QHTmXteCgL4OuQbUHoy7cAXHMAJLcgWUQGDAYHTgaAu4BQMBkAQeUAkfDb06QHduugJJMHgW5AEh%20IAEjQAhFYFtZkAgbYAmWgEZdwEZp1AV70AWhUPFWAwZE8ALjeQq9EDKjdwKc7a0KoK7R9AOLAAse%20MAAoPMIzrwXA2pE7fAcDcMPM6tkEwAMFcPOLwAMKoAHS0BI8wNQ5EMgBMAFvcAAGcAB18APWMPUk%204A1nmf8CPLmTy9JwFnoUAnpOgZAHPxGXj6AIgwANap9JbLD2rkB7imADbFADmUAA61ADNWANAxAv%20prcIpqQBEWCuULkAtPBnCEALC/DfD0gAgYYCQOINTXAWsMwMSbcKqcFbtUH5+7RPRrMVzIwcOwAH%20HOCBVwDlUs4BQ/AAQQ0DBzxQxlgFG7ADT+AJWcABFbsDs7ABWfAEvJHAU/4Ea4AXerACQbAGa0AE%20O0DAFEAELeDTFGAHG3BdO4A5o7BAT4D9kgoCWSACpk8qJuDToiE1XCMbnvkZF8gE98Q2sgE1s3Hh%20Q2AJxUEaJQAFhoy2akuGcy7n3yFuAOHAQQIH4QYeTJD/IBxBRA5qgTNDaoqfPxMMTMA1AWPGZRr9%20dJygA5RGUCX9gJrCiBGsPHlgwTKAy58QmjWDBZOBU0ZFixcrYfuEDRWqKFGw+dOB65GblAfMdPv3%207ss7derOWbV6td48rOe8nmOnrt7YquW+dOvmrU2KJK+MwIGTJQsMQSIEXblCYQ2FKmJoaFqi6Q0h%20QjBgZLlimO6ZSjSOVVoh5xMlDsA+VeqTY0UizmvWJNoQhMLoK3UFFaGUZMUKClfWjNqRWBCwK7so%207TojaFdibBywKRak5/AKSh4qVaJU6VPNT0k+AQO2bJkQGTKEnAlRgkgQE2tM7NgxqoslSz66mDe/%20h0mX/z3tfQwBsMBbVDIK4vAYMOCAEiUKdMQIw4A3chkgjDAK+UEBMlg4IAUleNBCiwGc4IEFJ4Ao%204AQFAjiBBx5icFAADRoJQIIBGgFADgUkQIAHfvixBhpt2KgGGiXYQMEee+gY4I0DOgigGn4GeQSl%20P/6Y4g9G3JAokDwYiSQQMnohIxM2wnjkhEzScMWVTKCJo4xqMsnEihjQaIQNDTSoAYEYNLBBAwIi%20OKEJAuaMIAZa0NDzhQhqoOWFH/iogY567MmnGxEJAaGKKpJZZRUVVuGriFUumYGZZDbdlBlPh4j0%20Eh8oeKIIYDbY4YkhiPBED1cfmKUIPYoY4okNLKFgA/8KfHjCkyH0yCLVJ3zw4TsfsgBhDWG/A4YG%20Cmig5ApKchNuBz1M6aKLEaAD9goTnqAAjtdgmKVUEK7IYgQiTBhiAxOYeGITJohtl1gfNhmiCh9C%20eSWUTd4DgYIhRL13k1CG8EGMEoZZwB60zpmHFStYMcMMHAT6QCAcLhaoYwYc+FggCAT6BmQGcBjZ%20oYHMsOILRNIgY5pIcAnGD1wy8mOCnDXyaAKeKgLlpAmCmeBJm2OagDohkEoKlw5G8nloGYiZ4KVj%20gkolFWqioAYXD2A5oJUAHjHAgDpiqEEAeF4QoA143m4jbnjcdnvuuGkZhgQS7kZgz27U+ccbWZjZ%20xAj/X0w5pIhDDoEhXOFqFfiJKoqA4QkTQDBMhXPP0AM55T4RJNpEskikNRquWIGGFWBwzbPPrgCN%20AhAo36D2J1ZIdwfPrlABLw6KwGsXuvBCVw9pXQVGj2kF+aSIY2igYRelq6tugg6S8MCf6oTQYcUR%20ZnhCVUuY2OG7HXh94vzRiN1hFhM26EEAAeigBw0ycslFAQ8OUKCRQsIowAB0YIADDYA/izhAAMKg%20gDukoAA1oNCHWCAhApzACSeIATwG8IgBpKARGjSAApxgCCV0sBFAqMQALsCCGtTgBw5yggYWsAAo%208OANCkhBS/IQiTxMZAoHMGAuDFGABzVhAD+YEwFq/6CAARTAQnHqIAI04IQmRIAAchrAFZtIAD9x%20EQFOuIMGpJiCE0zxQydoUwQ8FAEEqNEGNYiBALwxRwGcYAWRchQY8lWFS6zAXSCYy6TgUAUQqAEO%20G2CGCvAFh/VUpghMUAEMvLADEYiAA5Z4wCV8wQFNgMAEM1DBBi4BAiJ4YQMiKIIPYEAEVo7CB7wL%20JQVUQIF1nYEScoheJThwhjOMIBEcSIIgVmCCY+iGA4Lg3Kw4AIJRCEEQLQBBZHIAgg0McwNMmNck%20mBEpQrxiEq8gVhU2YYlQ3KsLBnvFKzahzlf4wgib2IQvZgAIAsiRHufoxjzSYIZM4MAMUjCDQ/x5%20A/8pOGBkJSvZyFAGAZQ19Bs4CMc3wlELc5jhC+pAhCR+UIc6LOUAjLgZRnimkYqARGh/WIYfcvaH%20nRgApH/QSXVAsb8AtMIDYmtFK8o2gWVURwceoARQUoGKrVFDEwbY3wHCQCRQPMJGZChAI6RqA6rG%204QeNsIFUGxEHD0pVFk74QVh/4AQnDGIQ9wCc4LrpC18MwRdw2UAW4iIwOIgADjCoguyG8C0QqEAQ%20MKCEHnYpCA74o3OCuMsaaqPYIiThDMcgXiJeJ1jWISaaJlBBEqhJg1CawAStucIG4EC8vRwDBruJ%20Fgw4oAdsJC8RroLBGmCQhCToABhLWAL1fFqJNyz/gTrVWcIdgDDKIYSCCRvwAXjsxSv0YdMEPmDC%20COIjR2/0YgDT2J//+JALD/ygAIVQQBhYqAQWBDAAA2jFAQpQgBg6YQAxGAALNKAFC6WABxo4gA5a%20QYJFaCAFSn1hCjo4ADnoIAkFaEIfFnECFtShBjMUwAJ64IEAKOEHrSCGH6aw4SkMIg1oqEEQ3HuC%20DEUACouIwAsCaIMUeFcDF2gGARDQIQIsQMYv4AGdePCCE9ypighw0wXcdIIIaKAAL6jGCWwQgQXE%204AQIeIGb3pRBOcJDAE0IwQyG8IohFBcMu7LcE0Aw5lxRcwggODPCfFAFJujrFTDQw13h4IVRobII%20/y2YRKQ0wYFVEGEGtbumKH9VOyaYYBRiNgEqn3WuzyIzEURYgS050IcgcG4XQaBBECgTvQ0koZJF%20gIMJiCAEEXihBSs4RuqSsC7kenYTM4jUKobwry6r818FMxg8L8HOdLr1FQqDghzf8Y9/kCAO0IAG%20D+JwAD7EgQxlIAMbapCGNJQhE6pQxbWvzc+K8fMG/0yDFFRRMSmUoRd8yEPZcAEKXDDCAKDgSdB4%20tjOdmWQZQPvITSYwBVxUh2qgGOABPDDwDpStbK1w90iC0RFcfMLhMIgCKlKxBI0YIADN/kEHWqGE%20MNCXBXeIEH3vcIcJWoMFYRi5ybUAIxYUouUsAP/EI6yBCGILDgS+qMJb4VAEnutBBIdRAVxgUFe7%20ltkwZ4BBESpzhk+cYbVJgBbs5kKBIuTmd9TU3Wiy4POATYpRq6ABDAixgb5eYQRkztVoWFcaEXxC%20D8A4JjYQC4OHU+KviQhOZbB3DB10oAMzWZr2aOJbGeggB2L41gae0IVLlAc8qgLBsHwwCyLw6n1A%20kI831lGHAxhAB0CEBZZaUSAFlNADLAhrI8LQQSWcIMAp2FABUhCAFNwBiEpoYNkaQQIFMIgFi6iB%20ARXAPx44UMABCH4OCrAA+QmgAAE4byE+aqSTuCETj2jFBLXghDmhsQn3rUEKrPiDFjZCTjGIQJH/%20rSgnOnUfAQWIAC0KwIMCtDHFGuCBjNtYABK4yU8yVL8oI4G28QZ48AYNmKYZcJQqgLwnGIERIDvb%20eZ9Rep9V8IJNeCRdSS44AIYiQJUW2IAr4IAsAAYKyCRMgYNdGgUAYCVPCJ8n0APwEYMN8IISEAMi%20gEC/WAEQCIIRcKweTII+SA4iOAYh4ABC8CxPOAYOWIErSIIioAEQmAETaAEm4IDYYpUqmBVK2QBH%202QBCUAE1IIQcKIFLMENZIxYm+JdN2AN42oRnWCde47JNKAEgYBtvGLZ/sAIlsAZr4LgDiAQ+4ChB%205Kg6QAJDHAQkSERFRII4YEQkgEQk6AVJsIBe/+iFSGAEl4CFSHiEjACFmGA3etOZeeMZmBrFobmJ%20isgZYliGEBI4naIwWPCADli3zjMAnSIGYlgCHfCHoCAKiZsAUCi4A3iEH1g2A7CG/+m41Qs57RuA%20ZowQCXCCF2GB8CqECPFDFCA2eOCBGTCCyakkSwIGQdAcGBCBKxgCGJidSlKBLIik00iCYnIV1XGs%20SkgCw0AMPQiOnxMEZ/GO1iANUiE7zVmFUlADqMusxoqkMTuX3iGdSNoFCqAE1hGE1kCsY7A7vFAM%20zkkCCVCRPjiAaJgAGYA7f+AAXvQtmmgWVgKXcZIdS3iFcMkChDGW9KkmAJAfzYsD7CqhBaqDRv8o%20vRJSqvBqBDSSk1zwLgmxAS3ggR8YgKUMr9pTAPqygTBwygN4oQJgsQ0BoOJrgiDIASC4rwHggbWJ%20sBM4gDfIATI4gE9shZaQhEZEgzqAPgU4AShgLwfiARtgsBSoAQJIAQKIgQJYEyKjEw2IAAS7oDc5%20ARLrMcckgPWSoh7zk/pbACnqmzm5LwQQkbSZozlKsBkAAThYBZwjzWiqHU/yrEtwlzUrpVG6hFg5%20LndEJVZpAcoABtUChhYAQSIogRX4HVEDAE9gpR1QR3chAgAYTu0AgO+RriAoAQDQgyAIgl0YgUxL%20guShARMYASBkwgd8HxFoxxYAABFgFRMgThH/KAXmIh8iAAFCoIGDlAAmuIQuk5d4OY+C8YF02oRd%20g6d0UqcSKIFg8wZ6MFACYIEJKgEWkAATUYIIAQQJoK8JTdAKtdAE9cNC5ChSOICbeTeqwYU8uJl1%20kzeS6oh764gjmQBi0LdluIkXJZqhIQaNk8UAOAD+AcQEYoQbfYR0+wNi+MTp6Dum+4Sbyilmq4M4%20CJBH0AJrCIEBCAF+kIAIFQMnKIEpFQNA0FIJkFInAASXS1AujRCaowcB6AFCeAIVOATNsaTTOE5H%20uYJBkoudOw04QCxUooskoIAdpIG5uwJwsdO/goHe2YAZ4CxqgkAQoIFVEMMZmAExBIE+SIJS/ygF%201VkN3LlHbyEN3hmN0UiE3UiMaPEMCrDOxFgN6OmDFegDwBMCy6iEDviEN6gJYDgDCtAdYuEyPeqy%20vJI8gWEXEIiPzyQDsJmGACgEA4oDl3MCG2AirXygNqiBRlhWFuOBJUpQLViEB9mQAgkAJCqECssF%202YsvOXBKDVgEIFACDQirOpGDFbgAAQi2GAibA5iCPPAZXHCFMrCqH3iE/li9FFgEHug9LTiBATiB%20C3ggFmjK9aqBJmhMI7sgxASRC1iT9FO/Kyoy+rOiKGvMGnsTIAOyJ5sTtFkEOfoHevCGGAiAEBiB%20VWiUnRO77hyz73gfCuijJ1gXTYADIoADFf8gAmQRMxF4gha4AAoQrMQQAji4gPJ5jQ04pkTwhL1g%20pSLQhBDwzT8bgcxaAXUBAuIMAgDQjTVIAnWhBCEY2xFYA10BgSRgQu4QgysQgVWQpA3Qgx1slElw%20BjgAg0m4hMo7uz4QAw9YgkqYAQFlpRIoNB+4hGH5Fy4zw0v4zy67BGAzWXqABwLQAjmQRgktIRMB%20ggEogQkRXffKD9EtXQO6BY5SAj6IBFtsBZgoiWCMGumgXZSSDp4YqRWF0WDIRd5dBlbUrwAQkIHD%20BR2YgPSKBBvNg0cIm4uwiJ6a1U/AhbKBhWZrhDIYBAPYj2d0ggbVUkAoASfIUi0Nge+FOS3/NSA5%20eFBsFIV/eBsAUAMYSAYVGAIKSLoqqAsVCB9AkotGUQGeMwyluwvOcR7ooYEiCCXwWANwaQ3UUIEd%20VAEVEE1qmp1SWAXCIAQ14KUz2DNg0AQKGIEmlJ09BQ/wGJ28kCzF+gxSvYIdSOG9SAS8oARK6IMa%209gfoAAaVpAkdcDgO8GEYSIQngEm+YEBeqYJaKRbZ+SPMm6N1aAQCOlYEKYMSoj+GrQHUe5M7OD0C%20MKAA6Lsw0AB4QIAwSKADcL0w8KAUeIRGYAHSawQl+MtF2JAUMDKvLIB3nSEE1amSQJJ+YwQliAOr%20SgEbsDAbcIIcOK/vc70CAEwneIPAZDG+/8wTIPMxDTiBFEAAAogx9LPkJoCG9SIxDYiyK3qyF4gT%20AZCiJHsBWmCTGBjANihQeNCASsiBGRhUSVEBRhkBMZiUJ5jBvkIWT5gBVIpgDlCBHaCmK8AcFbgA%20KBgFCgCGLIBmPajCWcqLK9CDMxgFvEsESgKGKXxPQuDgUiCEOtyOESCEEXBCuCOCa+jAVOu5KQym%20FdiNy/KEEvCCy6EATaDfTbCDVygCMBgVFRAsPQACvguMS+iBSSACJpiEHdiEHQgFUVFDdcKU4mon%20X7iEKyXQk6UHzC1fMdhlzdVcMRCDEGjQlE7pKzURljYRLXDQHHhdTmxdmFg3jCgJXOA3fv8jUZ6R%20t5OAtxclBtvliZjQXjLugJAw3iXABbDJA5s6gDy40aFhhJFw0aURiellhDpAAyuggxpoBRFKAQkA%20An4waTHgUpOWgLMeXy2dgTuQg7iWgxEABH5QgjZwX3iYBE0QDr4YVGBul/DhsoCpgkHNgirgnSK4%20CxBAJsJKutOgXwrIghcMwbmYLTV4gzOYVM0mhDdQgxwghAB4gw4QDNK2LU3oAxqgLXq+zm42nyD2%20DN2JFkrQiw1IDd5hDTF7gr0ojdnQx0FVnV2InibchdIhFcmBg0NIhiMegrjoMsXzAUAygRAIVs1D%20Av6BY6tchBOBI+BTghRIUCJaIAWwgRD/OpCwGmQBWwYliAEmIgEEsQEWaISwOiInwo8UELABYAM2%20ILELwAIaoiEleEs/CIYpKPAk2bhHyAH9eQMP2BA++IEPgYLEvIDIvIBF+AHEVIKBcyAJwGQLopDt%20I+UO4YEOsa8yIoD7WoD1eoE1qSNGpgUpopBVXhNRno93gIdGGFzHqlTVIYQkyIE++HGwW4UsUIMr%20mAT7jeC1FQI9GJUhEAFAsgTiZAIi6EAtPARPmIU4g6W32wH8tYRv0QNP2sEnMAyyO5cs8CMVWANZ%20aVsOoAQVoI3cAIbdhgFeggFRywJCWBcW9ARPCIJJaAFPEHQvYIIHaAHM4iWw7AAOEAI1/2Al37SV%20d2GXWZsXxDXD/nwFUYFOKJijd7BcAtBcQAgCtAaEuEbrVFfplAZd0DWRBgUCCXECJRA4mPC8T5ze%20RwjESNhEXc/RdIMa2e0ZFuXdXKQajUiv4UvqDviaG/UARnhdm0qvg/MDIJ1ez9MIkLiZXECBbrcC%20YnQCWVg5OVAYAc1StC4BKdXSc9fSzNVcCQjfAWiDboBl6UwcR2lH2QmlDUAYLgNoyM6CJ+Q5Xcms%20CI7CK5CUAC4C+5VJM7+Cg+SAwCiFPdMEwQgANWgFNQCFUhBtHdCESmAMH9YEXlIByHIN3XmCUViD%20c2yNuIqWXfgrWZFsyO4rwiomSliDIP/4jA3I+RDuzs8IjyvIOV+YyZiEC9nJgkArAs9qArXRvFzg%20gwORhgEYkUUgAAUoPSdQgALwrvAiPwYbgP6JgUY4Ig8A76f0AFw4LyVg4x9AoxwAoP6IqvUCAjmo%20gwKoBgIAAgAgACx4AQnIgQPwGZXSMCipAyVIZPYqgEWwgRiwgSu6kwDgARKgYxLAMQNiASWwIglB%20AP1wWDpukQ5i5Ey+Y02OAAqpoxRoBvgT5fdLsRmLgDrKcBKwspprhMJ7g1JIAvikgTfQBA+ggR8v%20BUFQA2ryLEHQhCgHTpI8Fr5IUyYwWiZoAWleMz0AgwfoAg74OUswjFE4jVTZge9PtDH/I7szMEIO%208KxnEQFgeA22BQHjYbtVqB1TyU33BIafW/qtU4MmdBSACOXjiY8hREYBADEixIAkHoQsmVGCSJAi%20IEyUeKICzoZNPkr0aOHJS8FLPsSUeCHAG72WopRIcMJPjJMSEm4CKVHCyU0JQHLWdPITiNChEgYo%208OBhwpJgxJYRIzZhGaM6pA5E4pOnFS5cE76CnfDnK6hlUIkFC7bM6bI/SwwcOBDAAyylBx4FaKW3%20lYcOBrwewCUDlx8Zab/+xcXIAB9lVhDZuMtigIQQYgAdvRl0aBCfQILwKzFgQJABOvkNaPOP3joi%20pVSYGvIEDpwqWbKAuPRqyKVnQ1TA/yiiIksREVdU6FmxBgYMCiCIqwBRpUiR2lWGXMlypbiOSkk0%20cdDBAXwHDwEOdNBhQIemJTre61jCARgwIcA+wVhBwTmFJxSuwKCCIFcsR0EiMIBAQxHZrcBcgNs1%20l90QWVTB3wYg9EfBGpassYMtVezgwwa2gVAcDCOuYcKFFwYhADze/FPGD4X8oEEKhTzSSApyKcGC%20EgUo8UOQBBCgRA42tFJACj84AcsASihRgxJ9eaAjCwf8kEIrCtQwQAqjpcADAQqwMAgtC4QRQhNQ%20AFCAArBMEMwfftA5xRS3NPLDDwBcsGYBBQjQSA0aNLFACh7kcEIjYr7Q4wlKCEBABP8RaKBBBM0g%20cIcTPFB6wgsELMBpASwQUMAdBSDwAgIpxICABtAQEEMNzQhgKQIEVFoNAS7SU88/NghRiQeaVEKD%20Gm+cIZ8QAdBAAyEYErFBcRwIIe0ZMugxBByrGDHEEJ4wA8cQD7gwBBN72BKKHVR0cYgIFOwwih2z%20wHCIJaN0IcIOTFgSrw+WgJGFLRTMYskTIKhwxQgbAAhCEvqNAAIIRGCnxxlXeAICB4SYkEQLSWws%20iCY0OCdIEWtQwEERHJwxQxKldNBBKcsCIMYMYphgAoUIrwLCKoJssLCIFPhABBAAqARjSwRooYUE%20mN1EmWgSiCaG0zzd5HRPVDshBgD/CvSRgw4TeIDLMkKc5VQr07jSSxx8GDDBYoSB9YdZYEHl1FN2%20j0WMAQZ4YEB5sMhVl14GLFZIGIXA0gEscX8lQ1sTgILL360wQooqqlhhwyMHNC1GCIAQJVoQU/ek%20tQRa6PQTaWLw44QTKNDjDTxAFHFIFSD4AsNt2+7+ShW+DJGMIMH5DhxxelyxwwraBRhgFXCIIG4V%20KlRRIQUwiHCMfB0cc0Z3HbwRQAdNRbXEEkJwIF8lfVTyyXzAnJHELhQwfIX+//0Hw/5XaChiG8Df%20BvxTwP2s4QrHE8EhMHTAK1QBBgHrD26u4wMQDOEVIhDOhZ4jnCCsoEUC+Mc6yNCI/zrIIRdKCEMY%20BtCIAfxJTwOwgQZ+cAICpCAA51HAD8KghEUoQAs2CEMKUmCDFCghT4VIgRYCoIBK/UABBeCBHIr4%20BhawoRq0cEKhegAAAOQgbn+wE5388IdIxEEDBZBAAZpQKiWFgQ2U4oETBsCDKS4qBkAogA0W8QIe%203DECuFJjEG0wqQggIAKAPIEWPKCFFDSBFlrggQAuwAMNeOqICKDFCVJwgggsgBYkwBUJvOGNetCj%20ETLozhmMRYkAvCE+MhCCGow1ghJsIEDUgsEZOEADDvgCDJuYhQ9e4QVn2EIEHLBFC3aDrkOYogUt%20sIUeDgEGO4wCYLnbQb6yIK+DdP/BBPF6gsGyt4EdmEAQeqDBBhIBgieMgAg5I0IWzqAHDhDhYxz4%20TSmIUAQ1AOAKmlhDEqKjAhOM4gpCKAINSqGGPryhFOB5wwxyQAMg7AAEVyAE99RAHA7MRw8UqsIr%20PPHFBazkH6uxQhi0AIiXvjQmEmABZlCXNa7FZCdASAFPcmC+8jzCA2j5ilOC0Yqs8CESZZHbX0AR%20Fso9FS1PWQtY5vIGwAXuqjqwHCxakYdI5GIAP5hG2R43AVyoZRkT8AMuQAEKxPGhDGRQBRnCEIAB%20OA0lrqMMZVggh6b91WlOQw1pBiAG2KXmH/CgBwDU4AtLVOEQtKFOMqpThWQkY3j/IpBYcISjnxPt%20oIMQBM5wVlEFH6zCd/15wnEC4A8OVCK2n/iEByrRASHIILezxC0xhCCEDgjrDZ+oDzCSsAYM8Qe5%20GkqYhgjEnCRkB38bQlkWKGCJANlCEIfIAhhkYwlvwSELcDAYGDhIhEuMQGcmAEGAQLAB3DhPAikt%20YR0KMZkBTMYak6GhqZSiBJ6yQAGteAMPdfSDGChAAWEoQA1qwEc+8gCGKSjAImqgBSNp4AV30IEH%20wEQCAdDiBRdoYWTi5Ac7odgAaazBC4PgRrEqIReLQEATtHCCJiziBCwgVQ0HgOMB3LUJAljVCS6A%20yUrx4ASWikEETuCEAiDyBaM6/wEtCMCoCPzpBK1awAlQpQEbVGMRMVDNO/4Rh1nqIAA5AG4SYLmE%203OpAARKIGA2eAwxB7CAJMyACEbwQCiYw4RVg8EIXkuELaLIrGaY4BKONYAdTVJMCdqiCHsBAAckm%20UxBZsIQl2qUHW8zCE3awQxfQ+YQi1IcDetCDxIpQIR+MogoK5MAOPCECIejBIkGonwRWQIMRrAAE%20iVjBLkaQEDUQApaaiFl6lkDgFQBgBIKgwRXU4LsslOIKznqCOIngCT4D4QUvUik9rMACl8K0aVkL%20wUxH1zR1qxsQ574JAIAQgjeURwGBWYYMoqK3CcAlDwZIi1ud+tSwqHUCaEmLYf8A3oqueoAv6QGL%20egxw1DoogA96igQuzGo2qn7lKW/lAxl6UYYyTKMVKagp6pw2ADmEYMdymLcW5BDTo5yOH4DQAu0W%20CwBCUCCyRfBFcagjAhGUohRFYEYyjHMh5rhXBSoI9hVAsAIT/AcO0bGNtrIwBPzthwKU+EQljqGD%20T4jnfG/ObTByu77dvhnXsQXpJyihPUvsZ4AgGMV/NjCKAZ7BngnzT9ApkAVB2GIX+oNsd4fwXYLs%20IOhZ6IJ/YLCwd65A6lL3KCE2wM4RJCEECzDlOspAuMnwoBBKAF0K7hBhuBCYj5PRAgugwcRGhMFH%20BShEDZjkpRQ04gSP+IGDf1T/AyS66tx3UEAOnECLIr5AAwrQAXragmJGTIERYYhBNTQQAyiIWEka%20WESsrJyCBRDpBT4WwAByj18bKLkaC/ijpeiIyT9xSgOS0v8NIxCAE0TKrWgAptQAAsyKpJxAM/yR%20EpzAh42bmcFZDiTLe7zBmuGWDCQBENBAEtDAExzeesEAIUAbE4BBMriLCJhC00nWIRSBERyCCRrB%20HsxCC+yBvVQB3rmLL0QWA8FANcFAMkVap83CKIjEcWWIxICAIKiaIIAAE3yd//QZBfgWE3aMHmjC%20J2iCEHzCPdnTGayAGCSBGnQAB3QALOGb+qzACgBBIvRBs7jXwsyAcgTBE+gd//6wGxSk1GoQgDUA%20gs6VgM7FBNZsjWlEjU79hE492R34hQe81VlEhb8Fg9xwxVT4wcFVIlQ9xVc4Ym6BQiscgFIETnzo%20wBu8QcRdTiSQwiNYQxw0Qi4Ajtl4RVcYgMGdlQGEQS/0wlzVQQC0nmWwG+1lDQuEwDDewTDuGE0B%20Al9JAOzcgTWIwmrQQwHQQBawoNYVB9LpwRLkmgqogSacAUOBnXNEx4Voh0HtjnjBgBqsgrjQoYG0%200zHAFiXoAX3MxwVeYG5FxW7h1nt4Rx/0ASUkAYZoh6yFXWjpzw4c13FYhHtlz0D6j+FdwRNIJDoN%20EN5ZAnL5B3aAQCUU1woQQv/VBZsKBOS2gMAx5MADlkErBMCORZG+AdIAaACQFYDsZFgNTdiFBYAT%20TEYK2EgIHAALDAoSHZES2EABwJCrDAABIMUdSMCExcACvMESQEOJEcNYMAL20ckBsAoaFEAMxIAG%20BMoALEIKsMCEZRkBdBIC2BEcaYCDZRhazpGllEqlzNGNMRmlOEEnpcCkWIoifWUNLACURUBeLgAJ%20qBGFrUQ3/IM3nNkq9YH6rM8SyEVvyUAHwA8MJIEIrNo9aQIw0AAAVIESHt0GccAh6EEpmKYKWhMv%20SNMsAMMhcA9trFpwHF0P6oEyFYc6rRoDTZbvaJTUlchtStaEMIcPrIFxPof/CaiARM0HeIiMJlgh%20SHFAH/yUxcHFJ+rAb3nHCixMGgaNCRDBCFzDLpwIBfxT0ATBC5gSue1hH84EP/REEDhBZwzFUJQA%20ENyEaNgEZQAC800cMYzNW7XVFBic3UxOWBiogdJiWCwcMUgO4gTAerxHeQQALOQFLhxVUt2CEtyC%20K7hCYMRNLCLOLLrV30QCEtSByT0CLJClZYjBjoUA7bHA8i2fAsScMI6OvM0bIFyGNaAANKYAdVAH%20HBTHPGomMIyHOg6Hbx5H1Q0QOSKMpmFPFiRDeBHpEAzQE+zADuzCGZBdEgReNiLpEvjDPToFRDjo%20EpAP2nUHDaxAIlAIboAB/wBpFIawFsqoAAUEG8M4xwBVSBb4zkNuyH7g3Rp4YBYMRIl43jxO4cIA%20ARGsgQqsgrT4kiCEADyMWxk8gn39JAs8wiVpwZMpwaZ4iaWQZajewQA4QVHqGFBuyp8oSRHZQI14%20n1hxygCQjxRBAQFcABQUwCPEADQoHMDlwS1EwlUywgFYQ1d6XyNoATyoEQH41A+MJZbB0JMVQKkM%20kpQpgJLt3wloGZbJAqqgn6t0WQS8QATEQAogACBpAA/EQBOsCgIIAAs4gavQKyYhQAzcEDz8g2L+%20QG6Vh3y8XRmunW+xDz2q2j3lRxBopgg8wWk9QfX4QkG8QhYwEBhYQgtQwf+o5Vp1TQcDbcR/aIwI%20cA9xHMLCaiYHrOxtCsLRKeFt7uaqgdRujsIkeMIZ+BYwLAF42BPLJIEgJEEOrMCwKEUrWNzyvYF9%20rM8nuOkaRIwD7UKXwsAabEDCbMAMSABKeUM32A4BvJQYXMJhHZYcyEEQoG0QHNbpqC3V3KdOvK01%20dIBeSMUs/sVVEiiBlkXCaSLepAVbLFxaSJVhOGgkGsBc4AKHncdcBA4owMItBMIt3MIg3AISkIEi%20dFxXqEVVksVbgUIexEGKkgHh4BXrVEYIFGMIMN8d5EAOxGhlsO4dzEAY2GiONuMz/sMpDIAmHE8R%20nIEyIal3sEfg0UAOJMj/ccxmlBZBEsAAHDiIcAhIz/wTEgJQIlyBxRTB8TSICASesNyjELTdEjio%20ELzHEhDXJyRBH1QX2GmH4WmHf7DWgEhMlg7Bcb7T9vgPAK0BnO5CllrtOTHMu/TBJxzDJ7APBybB%20BoCQxJQCB4ikHAjAOnhD6U3DC63kqOifFuhb8+GVJ0WYFvzAHSmZkjgB7dnAJdGRFsAQD/DQCWCJ%20EJ1qCBTAAmhBDlzAAiyA/8WAK6zViWXfFPhBHuTBX+1lDUUcCfSefTUC/iHACQABkWgAFMTAANTA%20C6TAKLUKveKKIk1Yp0hKCiiA63EKWl7SCcDkrZgrAZAAliUZKAlABNiA/xaX0r/+Q8DKgAfEktr1%20WwCAwizJwBJUAss8h9dNhxjUox6owAYUkLQUgSK7l7d4AafJCzrZgu/Ei8MgSNAsDAeUQhpyp7SU%20wrZswCU8gWkWwX4IpAgIgi+IFyu7i5RuQAvsQClYocWEB0iBR8+qD3VWggHAQscdaxj8gAdkZ32w%20jxeuwQr0QYIkAiVQgnIU0AhQgNaqJ4xgKtj24SUAwiXYxEIEwWd8xjcbTU6IgRyMwELMwELcQShO%20wOGAwh9IRVSMRZyoRVrwrViYRVvkDfiC71MQbsMBjsT5xXmYIuI8giLUQYcOgiuwQRw4blckXFSA%20glS4VSu0jVx5In7BHP8xFmPshkDrMuVMte5L0W6CzcAM3MEd3MNqnIIccMDxrNoZ1Acl9BIwVIJF%20eQANcG8R9KAgJEwPBog6LaxIVcHRrYII5ClwaObxqNPx6A9DwUApJIEC/LEO4GMkTgDCdoA/5JYW%20PjPYWcIVwEF/RORxZEH8OggFyIbEHAyfSYye7oKh9kcCNQdCMkwS0gAbjkAQ7O/DJEESFIEerIKh%20IgwNDMBKwEgZ/EgjBIASxIBWngAL34EK8xQP/Eg18GT08aTtOUFMOtsbtMId3QFP7pgNBECEYVlO%20WpkiNcEdNQEQGEAM1IEBzMmJCXEeIAES3NgFoGUjWEMjkIEN2EAuVIr/ITTBC3xK+fGAlADKXG7x%20rgBBDiiBFhQAAHIZD/BUANzBkVnrAjRxDKAKATgBT8LxAoB3BFTDCwRmAZBAe8OIStlxH8RMfESl%20DORFV5di/ZiICGwAEawAB8xSwpwBe10bDHCAeLnXA7RAysqshtAjLxmzfSjseEQnJxfBDJjABd3G%20bTjIbYZXFVhaYN8gDHgB3zmwGCiMReXAOjKDGmwQIcxAAGwV4dAJLCgAEHXALEmnFurHG24Dse3C%20gGSUCYyABCSNYtJDDOAou/mVFqiujbJA1AAC6rYuDQQAIaSu7GrBI8QMX/wNWVjOV/yBDkCFWTjF%20H8xJW8DzsEpVgyLc/1sIzlZh1Sv+jXUaQCQMAhIMQhyYkMV1AFoZnMGpTyeSQRmgABl4ojXcASDI%20bgkDgk9heUov+qTnQDPyQ9MIo+w244/SQzdIgEOpgCYokxCMDH3IwBnsAsjQhz/IxxtsIA2oQOCp%20AbW0jx7AwC6ogJCqACGoQf1Ugj8AO8sEXtA6TBGEZCbzUi+p2nw4LTz61sVY7/3sh0Rmgc7o6QDP%20Viv1En6Yp/40D7wQxLQn0CkfF3MBkOFVrRcAgCdEjAIFrT0lcMRQABCsxDqQEB/oSAcUAuNEAg+4%2036o6QZbUyKrwgA3UgMGL5SIMACg8gieGAYsFQFG2QgccQLZCCQv8wP8MNZgN4NAI8EAAxEQHOEEQ%20bcpXFgAUXECXuQpPnncjtKW4IQA8ABHt0lBkvMEiCAAJsAB7Y9InOcEdnAACXMAMR4C+DUCr2AgP%20qIqRpR+4KhIPCKAGXECTXQr6HZiY2U43ACyc0UDMEIP4EgN66FZ3gOkVlsInkM/B2gfCAsN7hMcb%20mB0lNIE7xSAvFMMsUEERzFIYHEBXs13b6dY9wtnZ/frb6Zbfs90sOejZ6MCX9IEHrIA5j8AaUIbZ%20qu4KKICMv0FgWA4u8IFs53icoYf86AD8pG8aJkGxICmwHUU1KyY8KLkC8HoAfHSChXHrui6j5wAh%20uC7szgBmiMFRyDj/KJRiWVjOYhTcVywB5RQo5VQiWvDNWvztI0rFBFRcnOtAefwFYgDOASBtHtRB%20HMSBJLABopOoENBzyBHDW6mYGViBK8CFot8BIQACH6Z0pS96H7KADuE+QPDjp8VaCBb8AM24g+Yf%20PG9A1BBKIqiUJg5nOAi5uAvEJyEfQQI7o4IGDIow1OgQAuyYiitXTKrJouaMJh0cdPjjAAyYnjNJ%20KF2hcWUDhRUUQGy4UkQPBz2fPiUZIefark8cPl1Z8fJKoidrKBShAAPGsTNCluhgeUbPMa00shTJ%20AoICBR9P6lK4IkLPBiJJN4C4UncNjBU7dpgAK0gPjA279OihBOKJ/xgAL/5lVqVkQABYsHRMiFQg%20wIATP5ygjqEhhY0fNQak8BYmzqIDBn4QaN1ogI1HB2qwCJOrQKEDARTUKPSagI0DjQoAkMDDiZMT%20BRbYKEDAyQsNckoXKKDFhhMbMRZpIKBk0foUHmA1qgG9QO4YBA4ogc6j2YVmCAhA4IQTWDPvBARE%20KYCFFJrRoIYINFjghQER0CDCCl+I4IQLTiDAuwEGcGKRNuCZ55x/bFhiiTPU6CCACYgh5g0t3pBB%20hiU8oCGAY5LgsRIOlrBxiY+E1GEJYGRYCa0zAkiEAw5GsSMbF/ZwgQghZAClgySJWcbGYJYBM0gb%20P0qLGCFUIhJLG//ZbNNNGShhoY9joqKEkj5CWKGPAFbIoY8+PKjkANAMaKWVOtr4YUu0ksxIiEqS%20gJQSDyihYYNjOEhCjCBSeMEbb96hh54YWAghhwBoyGEFBUK4Q4EcctBCAi0MksBWJ2y1FZAQAFGg%20lQ46AGWCCZZZZgJhl/mD2GGL7fIPP5Il5o8wYwym2i7P9HKJZUAJwAMDvjWgA1xw0WFcA3Bh5ABG%20DGAEiTh6IaMMMsI1wNhkyTVABwMMAKUOb6y4xYADALnjVIUUugMQQJzgJwQnAAmAkFNLUZgFV0O4%20hJ87rEHhH3oeeqMIDkopRY8iSrkoiSuSSAKjnRoVSYUi5IIhUxr/jjTsiixgECGLLPjShKdPdFCL%20A0FgoAEEslzKYoixYCgCU01a/qQSGmhYYY2tuNrFpTV2sISCn03CSAhNrjrjGMMSKUovEOii4Am8%20BLtChSpG2GAFE/YShGYYVNjABBP0EgEYQQQp6UlBkshiAwDa8OafdeJ4RAkDclCgkGmkiWAAHqgr%20oIYUNPghjB940OARDwp4RIFHAuChDTLCOOAHJVrR4QDtGtGggOd+WEQUEgrRboBCWCiAhxSaYCGG%20GmxIrwASNICiMyciKEADHgiIjQAFWfDAgxqCP6ADG5pr74T0uAvROgEj8K5BLe6D4vkmYgCdwAVO%204OGEATSUOgJo/wB7J3BCEwAkgAhUKAVK+MF9vNGNbvxDAx3QxBuS0IE3lKIDByhACnQgpD7kgAZJ%20WAEIRjCCU3VABx54wxuO4YERUgKDb7gKByrhAR5hBA57MAUVPCGLNVmLTWBi0zKChBYNKiB8S/AH%20ltaUpDYFIxhvstG+OlCJDiwBJ0MqWloqEYAw9GECHcwDuiIxAHjEARdQXEIAjNSBT4RADoBKQgA+%20cYY++GQFcgCCABySGXiQigW7CkGt5MACVrHAVoeUgBNKoAVAPFIMBptBCN5ggDd0YBlCAIUOltGl%20ZhEDRtsa1rSGBaNhEWMJVKSiKEPZyTNN4DOaNEAlyrUvWHwLF/8DQ9ehemEDMqiiDK0YGCyIhYtW%20RCISjzDABHAhGhKU4QAHsIY1FJaQgvHqkRK4g8RyoLA7jJMQjzAYrGaQkDt4DGQSKBmLMKKJphRB%20aWbBFAf80ZM8Aq4ISVDBGYBhwjOcQRCPuQIcirCBVRRBE4J4UiV08ImGZg2FKDEKXZYGBziMQA1J%20oIEg0KY2oOyCAmsYAQVIugawUMASGyhCz4qAkUkRdGUn1IpKBZcUuiiFLIMRwwb0xpgivMQlfBsM%20DIChAhMM5Z+CsFsSVvFHya3jB7ALQAoWIQ0ykCEFJ0jBDwpgwAE0goniIWsAclHNReAuAK4JAB9q%20oIADxCAOBcj/RSNSAJwCLIJ8LNjlD3KhACD0TzcVUoKnbKCBRXwuBdvZjgZeACLyHSA2EzjAAA/g%20gRSQ4D6djUEjrqMbJ1gICt6pEPbOswANKIF0zVjNhHgQAQipp0IRIAABLsADAGEnQxGoRgyAS4B/%20dKMc6yhA0UpRiVNZA30EUACZOqAAPWVtBH3I4BvEd5xV9WlPf5pUACDlAaLtRASzOMQsHkCDKUox%20ScV6ogzMJcZXBSAtSVSTFd+0phAWTQb+EC98x3QjD2QWFgFoZiTcgIY2hGECV1SAAjwQgkRw0QNy%20WEEeaTBQDqhBE2dQgKckJyoChOGQjpTDg1lAqxCwalaHlJWu/+4wsYcFIFgq0gG5iBWMVJIyWslK%201gSURaxsDSm/pFzCBFSUydCkBRcd4JcxewkLdMEiDpLYqipqsEvj6ICUyuQXKMvIiELcIgCP0MI4%20S4CQEkASVxIwVatgZUlrEEIhr8rBDGYQTlFkhh5OKIUgZFIKDU8ka4IgqE8IKk8Y7KxwwBDBR99A%20CRiMDSlweAIIVMC4puzkEz4xDAjWoAIQmOAJVahCFlbxhMFtpYQ9+gQNKrWLEazBoBvYwRN+Vpe5%206OwNK4ALXOBmt7oohQIuWXRJ6wITCphgBDA4AwxAvYadbYAsgdHDUbKwhifsYgNgEwwQ4AGyd5RB%20CQrQgqwasf/VFKTAPKyJzfJs0BslhMEJBkiONwIwMAXUQXRWsMFyaiC+BYE1rJnNQSsU8IMfLEh5%20EbiPMDkbh9EpQAkeSF4MVOs77cWgAC8gAAsO4A0C8IB9jdBCGLRHgBMsIAYXYAEPCoCABRBgAQJo%20AugCUAABkMaxHmosAWR7naBD6GK2fQH/DAggBJCgBiSaoDcW0TIaEMIDSQjBB3OAJAH/yaNYAyia%20KoFdj74h7C1LAgb7QAkeHWNoB7WEJ6rQgi1V8UugWEYLIawiDzBRDnKgQRY10YoxRfFLVXSl4W3k%20JTcJoQMemADjk7iEDoTBW8ZsxQHcUAZvqOIAYzqyDmChgAD/5CAnIdgTzPTw5528gQTeoEc36AGP%20j5f4kit+8IrvEIJZlapVKzikJSdpqwOE5sb6uleXUmn3Ywlrx6Esoy2JpSJW4sLihQjDFsXHwgkU%20/1vhasUZcZGHrcorBmRohQcKoQRYrLdYoPjlAfIw+nAqjB8SAAIQ3OzI+3sTVjkgBCCs4dzk4JAK%205g7uQVToASJ+omSugCZYLQkiw6NWwKMmAqPmpggczdCwRgVUwDGeANpwrQgyDW1wSAQEQdSywG5A%20YC5UYC7swgROaAVkcBdoQBNWIBFm7TFKYjBobTAsIQtMTak2QFVyQG/g5iiSwm5UQA9g4iUoIDHW%20AASyxgRA/+AMigAEjmIsliZqHCNqOvCkkmIFRmAFVECq1uEfVEHhnED0YkAZFkFBlEADIKQGwkAJ%20aqDiPsgDzs8A6rDMYqAOWACwlKAAGqEVFO6B3lABwqAQPGDelIDpHCQCgKAGCiAGnON50IAAFqF3%20joN0ECB/lGB9RqsNNKB3NEAAfGeQXqA8UgDmUOcEbKsAbg63Og4BzqwAnCAGXuAHFGDkuGcB/Cd7%20CMRCIuQFnEB5LkADmkEAJKADuoMW+KoA7KEN1KEevEEDMEgNaEANsCtQiAxNyK4DzqASzkCKlOQj%20cMIpxvEmXKbThoQn7GQiRMASvAAIQuhLZEDHDCAaIEwldP9AkQDlDXBiBQbgDaAoRoxFS0DBRmKk%20iIxlk6LJA4LEA8IghPINS1pIfBSAXx5hGuqADLqB3AyA7twoSMArSWhID5JAajAiCTQhAAjgU0Ll%20H0asxFhgBRjpxPpPC26SVUxl9C5JDl4sBAbgDt5g+8YFF5CPGHTs+/glD+qgDiJhCsglTBivVA5g%20vrIrczLnwVioaIAll6gPFoypUFqBXPggDcggDZTBChqhUELvAITgTLrkI5CsXAbmDQLgAGCFziZp%20AIIgV2xFAWxlBOjokPihBEAkCORADMRgINog9hIwCdTA2c6ABmiGBlQAAq3QnygBDuCmLp5GbrKg%20KZgQBCj/gWcmjQJMbWzIomyOYRfm4oTigp9QbQMuYQh0k9lAoA+w8AZNQALWIBF2cATgZgMsYQiQ%200zXFQjCyBimGYC6IrdhggAkpQS/WIAicLQlQyNdgYGUooNuQ4qX0QASACtSASmkoQAQerQgGQAA+%205h/Y4Ae0oAQKAAh4QOG0wNxWQwNsoAOUwAmysgDKYIu65RHq4AdApBUcaD6UQAkega/0oxAGAHYG%20IAx6YwAIoA1sgASYjumgIQwMwBV+oAx+4PIWgQWoR+V4MgAW5MEWoAAG4DUSSxc1IAauwwa0YN2a%20wLZ8qxXl8ARiIAIOgH40oLa0IwVs6wIIAEc7ZHks5AQy/4TmIuDmDsR/ls5BauBThkv2sOYlJGJI%20oIhNoOgjeMIpLMLGVBJWtqJSiBMoVIBHRoASPoEC/AYGPKEJoojuZOATaAwtyM5qyPFHNAFrVCIt%20dCDs3uA4uIy9PqJoFjUAvEUBgsRcMFLrOqC7XCiTHqERbCAOCqEVFE8G7i4MmGiE+sBcZs3v9mYD%20VGAEWKX1IuhjYuBgfI+OGEkCwsADOmDFDomRaCVW8I8AZ0UBtmj7tgWWwIRBpTIS4iAO3OAAHgEU%20iMHBFABQ5EpSwwDkjFV8PIDGgKVoeklcxrVcW6EXVEFeEMEKfoD6JkBcZOBMgmEuZeDxoMlcDOAO%20JGlhFv8GCIJgku5PDgghBMTA/oLAkUpAAhZzAIJTDFgABRAwCAQNIwiqFGQQbijwZGigCijDB4CQ%20NSkADhhDBdbATsBA18AALEwNJooAcVJzMJACBHwG1bJABZ5mFUyNELZCZ7FGDBPBpFBKa4BqbigN%20BCyhBS9tBQjBBICKCgUHKZBCEETgqNwiERgDBIhAO8VgBDKNLo4CBrLAB0DAB9YTcLKADLsNcUAg%20CYIAHuDhDNmABQ5IFnggOaDDCbSgPjAUq5SABdaqOBTROSBMWhVgEaygBtjAVO0wBcBFByzH3pAn%20DGrAQdSDe0hgEZypUArlEVqBBWqgBhKEf1AHQxeBB9j/Ax5YIABaYVtXQzwmtxVtq0MWqAmEdECE%20VIFutAm6Rz3kMBar4QI87oMORAOaYAEQoEpjAEBkK34qsUkXofX+oR7gQQNSRQZ1NhsjrYTC7ieu%205gr6QCtMD1WsS1Wsdxd87XsJYTivYBf6IBESoaRALQjWi+48IBH6QAGqa4Sky/TEMAn25FQuiIW2%20SPIqz1uQQ3+/FVwDBVg0yILC6H4PKVDApcAiQfB0TAEajBjA5QD64AAqQQbeIAhGAADWgAjG0ISD%20YACgAB7+4R1cLwbsbGIk4Foh+FRgZYToKFeIVQ4miQW2yFw66V5CiYre1RUU4QCWSSpxIR/R5FsP%20SfQk/3X0oNhbxGeTOmBY/MHJtI9feukR+CAXVEEVpMAMrMAKCoFcjGQJzuQgochcgMUgVIxXxMBf%20JUAM5EACOCUw80T3dAUQ5AAwt6EEgKAEfkAUEFALuOhJLHZtz7ZlmYIDrjALQrYu4ECSw4JpVpDR%20TtYSnuAHqwAOTAJpiGIDqiA8lTM6h2AFV2EV5mIIrmAGSCJpTEgwtMY4XeJuTJkCTnYNnsYELoEo%20AMAHqiChHOeWTeIKduAx1oBwiiARiIDZntkTSuAJRmBnruAScM0uVMAEM5kk6kIw2JaFP6YMuuoE%20gGA8FqGBzm8+UKN3QC4rReEAsIoPOuBQhuN0OO51FP8OQ1kAu2IjBSYXegrAgaZHAOZKC/qFX7ak%20FdCAD+owNyREABoI5T5Hngegb8uDAO6gBnigA3jgc7wjBS5gOgiABACaACS6EmPgpANEA2rXf24r%20AvzHO2DxsXqUAKBApnUXAXgARxcBfUDlH7yhADwqajKlo2RQBXbBVBLBwhJBDBJBDOdUT1YAVWxq%20JAiBIwxjK1aAIwhBPV9CMIao8GzEA4JgVeQgqvFYDlJIAkZADEwgCAJzA0IghQhWhFdgU7J2DYRT%20rk24rSXgjoMgO0V4a8RwDWoQGDSBhTLiRvTlGx+1ErwoKp5z1lJoBAYAxPjs4wqJVwZQkeZLL8PJ%20Vl7/TAJK5Q4U4okDYJO2BYmIJZSwhJRAIQ/4wA0qGBTABC2yMgD+BMI8wE8kFVBcSIvCVVxz6cbG%201QAKoYxdIYyt4BSsYHXC8otiZC5VZPuK5h9LjF/t2Fb6Do8DO7Dr+o7veFeaOgiAgAiAwAkiU1SA%20wCKexDBoQAT6iS1eqqfgoC5MDQ4OAQaqAAZAeTWhti5O1jV37QTDupQvDQRSGW5WIWrgYJVd1Sda%20JnEGapZdoig49glImTLmJjFM4JmJgAmWEMBBoGVd4gqwkAISAQQSQTHkOq7j+gGg4AJaAC+YFmo6%20cC5ObQVbcGY2MwXgcx28IXF7tAea4KLNZwC0gHz2/27hfqUDGiEG0M8KAqCujCMGgscKfGURy+UR%20fiAAlCDexOMHAFoDPOgHVvFzBkHy3K9QbMAVIBQX4vBINYAFdOAOvkdG72A5LLGrUgABNnLd6E0W%20WGAVm8HhfGc1irKxNIAEAKRJ1UOm1aMagvEFeEALfBQBtgMKtqcAFkhDBroGFsEb4OEdhLoGPGpm%20pk5H/uQtsiYHJJAGQkB7yTcHSIIGrAsLL1vahmLRYhAvBuMKDDK/ZAAYKkEB5IAxR0CuL3sEcPCy%206brZZ2AF8NgwG9OyN+DZ13oqAnPZRRgH9UYMz1ol8ItMksSNzJQnVJICxGAN7DgIXiDcPsYbRKGQ%20Bv9QhZjIVDb1WzPHVB5sVsh7BO6gT3hSIo+sjJCsWaxFx0ABWRqyXnNATmjAA9SAUoI7B4Y7XAXY%20jUHp7tBFB9wvEsjACtRVFeqBDLgYWLz1hRj4hb5VfPrPkWylj9zsjlVoBti69w6JEFjgj3PhrNVA%20AgoBYkXFCXZCZmBAaE6QMVTybNdAkn1Ao6qgFF4KDgKjlIuCk8VG1+DAZ5bmpWr2CrQebkCgCkTg%20blRgFZJiCLg29VxCw/TAqWBCBShgBC5hbAbjCXZgDbCew121KBj8Es4+KciipI7i0mRtB555BExA%20DeDABDzBxlcgbJ9gCKqAlZ0G01Qcbnrm2migbfn/rBd+QKa1YA2D5Q0W6w4GoBX2Mp0NABaKQ0Ef%20IQwaAXYOIA60gwQawXzq2UULgN58p3cm1+N6WjyUp4GotQNoZxAe4RHuUEED4EZ9WAtudEZJZe/a%20YD1KerVYgMljB9T9J6x+oBA2q7HibXJF57YGiAcWIAJa8Xtkt+H457EIoEePFwFykQBqACBiaIAH%20r9s/eE08qEhSRE0SNTRygOgDIsSKFTR25biShMaxM4L6JKFEAwSNkidBXDQxIskVEEk2jJgxYs2a%20DU9maiKmo2eHDp/OVOqzRs6IICOSgth1kdBLChs2QI1KYY2JJxtMrHliIkhUrVBZqtQKYsNNqGso%20/0AlsiPLGT16OAgRsgTYkiUcznQIkORMkhU5TqZ8sqNwkCADoMD7x/gfARZ3AIfIEUKOAgU5FNyx%20rCDE5RUsQoyQU3lynwB3WHhYQncCrmXBiBETEpuYDBmxYQeTsUSHB1gBAhyr5CFApTfBO3DQ0cHn%20Tx24cE3oDUpHq+gGWuXKZEXVvS/16hjwoMNA8BwBPKi/k+MA6hCVc8gPAUiCGAn4g0gIAkS/fgkW%20rVBZfQPIgYccObwRwh2i/EMPPRLMJUQRNAjCATCaiAADDEWokAUIUFnyhAowZAEHHDCs8sQTUKlF%20QRVZwHCiICIUYeOGOKoF4hAUxKgCCEOAoIIKq/+sogIhahSRBCGC6JGEIC4JCYMKWIFgpQ87sJWF%20jioUMUMWRWQxBFtMjAgDBSZIZZNURDSxxpB6qKAGCF6MQmMWK/rgA4gjiqACBT5sAIMIcR4TQhuM%20rWNDDSkEQMgdChxwgBMFNDLAACwcMIASCjSigQ1KFAJLB7Ao8IMSnBLQTQwBLBNGGD8UYukAKRRA%20wA8nEPBpCoUoMMAjKaRgwwEdtDJINY9M0EoYMSxiww8HaHACDywsAA8Ji5gqLAExKFGDp42ckAML%20NWiAwK658oCZDQQs8kIbA5xr6wsR6JoCAgLxEMEJL1xwAgICaCAwDwQAfIG+/BaAQAHVvEDGAt7/%20vPOPNwVUUkQpZ2RcShJ9XEHDXzS84ZJIpXjcBw0i0XCRRDmoQMMVK8D88UmUzKSSVBSMINMMM9xx%20hxY/kCaHfiNc5F/RTG2wQlldaZUTVmtatcYKT2xl1gYq3fSSUlesidMaO1TNFRFIreFrEFoMgBgP%20QZTAHxAAANFfEGSnGZV/LyzmID2PsReCGANIELgcEmiBnwRyGMUC4Yt7RpkCM2CGngFLLFP5bMvA%20JgQxy8xGzG63TcBcJUB50MEbenVAek+9/eQ6c6yLHl0rBnSACyNxiNLdPd0o84gBBujwRnEeIBfc%20HYDMl58Eo+EnR2gAVna4BP1Nv18JQAyARwiH/wHiBAv37J3CXMCUxCFcRby0oYdW9qhCMimqUEUV%20ZYFQBQVDVLFhERuKUKONghBEh7bkIhaBKUirKEKGSqGGGpWCRidxCQ1UcIUrsG8GQzIBEao2CpsY%208EdB8l8RNEgEEFGgfWrZgdKI4AkYCIEDHEhgEYZwiUMUAQ5D2IAPnjC/J8BBD1vCigpQxAE9SGAx%20p/iHKmqggA5sSgGFUMKiFpECBQiEBbmIQQHacAAPKMAATjDAAYZVAxJ4wwZhmAAxChEAWFXRVj+o%20gQ0GoIFGvGEAuEoBC5wQAPe04gSZiEErQBGGRQhEAzzgwQlisMgY6IpYBXAkCWxggxewQAkDyP+F%20FV9QgEU4wQY8iMECtNAKGyyijJz8QRgGUIMFaBEBCEiBBqDwAidEQJQL4IEWEDAtDdhyAQtIQQgI%20MK1Q2qoNcSCAN7rRDYq94SNnuFglzrAxGAjiDQFMAkM4VhJCPKkjLVHDyWhAiIuMwGNLK8kKZhKC%20NSTinRSYwQoAMYMcrLMPiUuKAlYwNAElggYQYcpoTMCSpIygoAXV2QpkYgI5yCQqSVmoTEYAgqNo%20xQSFgegakHKUNcRtonIg20brlhSZnNBKZhlBIuRAgMU8yBuiCIN8ZoCfELDgpizATAAUkLjLeEZA%20FlHACOATggP0oYs6WMIE5rKMCahxc0LAjQz/NqdU25WnOR04wxve0AFNcNV1w1MPV3EBnaSKrgPA%20wwUocGGASJChHupQxz3EA7zxBOc8LADEHfADCMLtB3GEI41N5bCCzsygD31YgRbgQ7j/sEBwBdpG%20Ce6jBRQ86B8DEAIwigATkFBwBRToUvpOuCFBxEgEq4ifCni0pSpsAA4k8pAIs5AFGsGgLFuyhFr0%209yMSJUkNq9jAxUQAUI+pxEpXSNIVhKiCqOyCAipkEdZKZL/gUgAraYIBVq5glqpQYKEUOAOG9CAC%20NTDDSKuggC+AtCIYUaAIIsgfiOQHAhGcYQCLkRgKFhGGO0RgAH3kQyU1oIQJpCAGBrhjHBoB/wsl%20eKAOSniEAsJQAG8Q4BEB6IAHXlWDMmxqUYhkgQ0GcoIwsIAHBVBAG5fgBGmxgZJhIEMK2iAAApBA%20A+UqQAoIdoJMeSAGoVzEIjSQCyUcoBBxjMEPAvADFpxLADEgzw9wnAJGNWIJB+CBBmq1gFqeQADN%20CMMJpCWAArxBCxHgQQp2SS81L6AAgEjBAhDgjRdAQxQFaWYNtMkQiCRhq3yGwTE29rGO+CVjfqEB%20DPLikIesoA/e/MsKdlE0QpTTJjVJxBoIMQMxeCYRouEn8/Yzgv0gZQWJEINXSqqzRKwgTQddg0In%20ehhZm0AMI8iJzg7KaoyuKU0wG819DmNQq/8IqNgFvQhacqI0FkCBHt64LAEkFxHE9iEzCiBEegqL%20Gc/Q4HQBEKd8knBX03VgqcEIhhAyBzp1LwEU4zEALmyHizeQzt6ne4MOKhGAsAagFeqpHeycqgNQ%20oDU6rgEeH1DQjS/EIRKMsKtmJAcfFszACSXAz33sA+rAEi7jYiBN5CajvMMRKHFD40cIlICCxmhB%20CHrgyFvOkBXkUlAtg6qRb7sE3FUMYQhigkMVBAGHG5H3tiDg0BUoYImlnzC0U3IKeq00g6Sr4BIg%20IITLvgsCH23puBty+g52AYIVgaksUOEKWc50Fa48AQRbyXp1V8GMS2BdBb4YAhw+dAkfBKn/Ch0y%20gYlOiLUVJEEOiHLQEllQgCYoIQwHWPAiCjAA5oShEHyIgbBCFQcdD6AVB2iDFR6vrB98ngDrsNSW%20f9CIHNgKCDGoAZN/gOIBaKEamWIBGmrwiBrQgsbwmrIvI2ArG4w5AvAoQKVIMAADAMeUi2ABkllg%20+hgEzAMTUICQpRj7AAygALR3JALSXDA1D+AE9drxf52gKwJEAAroR7EAgimsAghgmc3UgAf4XAoP%20QEQkZ6ACfRBAx6AklCAUSXAMSQADKwADqOMXIiMyZ/AJGNMREZFcw0MJlLALTEEDZ6AG8qQy15AD%20RhECoLZO/mROhyEazYMfIwAEFoE4RWMR/yGgBbgmB/dBGkmBa0mhH+sUBA5VamsQg3ITBFaxA0FA%20UDdhJVYxNgQFUVXSNZWRN40BD9mCHjQQbgHQB53BAoZzGX3Ab4mQA5Wwb/d2bf0mH1zlAQYgOsuw%20bkvAOWdVO3Q4b8ATVn2gYVyFHD+RHurxOqKzVGWlAwQHChOQHa0QCYGABK0ACweACwBXHHfVGXcw%20A4BwiX91FEKDGIIjB1ogByMnASUQVCGQHzAICAOwDQUyAmJwBwOAAl9AD//AA2+gBisAQz9iAtwV%20IxzyIbXlJyRiJMBlP/ZTBZaAInrAIfyjIVLyIzqiFjFyBWDSIV0STeWUXigFAyehAjFDQf8zcEJZ%204DIqoRbdRUE/8iZZMBNpRwSjsEMbUBhqwSJVMRZVhzWX8HPzMwS+IHRDsENPsCcUwAQmEhU8BANn%20wAIutQ5kEAdhoAEDcAe5YACaJCySEisoVgOGMEcHgJGPUJFK0Ag1UAgHEAMx0GDwEANtUAOa4gRa%20wAIE8HkvoAUKEEqNkgMp4AQD0AFa0AjWcABmBA82sFNKkAK5QgA18EkCQQI1QAA2UADwEAC+UQPO%200kkacBlNdgAFkCmtgF9DVgBKyWQ8MAAE8AInsADuRy8a0AROcAJsuS+IVJZNQAAFsGURUJcIwAOS%20ogB1YEbM9A81sFVKok1vQE5xsYAd0Rf/KpMEKgFQHVGAIUMIJ1EKlaAJgjACfWCLHhMRDnEMx7CB%20u5Axc6JNfbALfTADlcABIpMEIYAykLZSdENYgZEDRyEBADCDRVNqpagfcoA9SBECMiEGJiABJgAA%20RLNqSShr/DGEcnBRV6E1WLEDo7ADYLNRsoYVYcESciAK0fYOAgAPVekzlCE9nnEZOXUHp4GGaoAc%20gBACW/g46KEe+3c6f+gTwrOFptMbXKUXW/UTyFGL6REcb9AKW/UGAtcTBqoDy9AT1QEdwNOIjZgH%20rcAIHtAKAZAgO5UD16YA10ZUWqAfi/NYahM4oxEEoiEBj5YfspkDNBUCmXQZ26NtYSAK/y9VAOll%20ITAgjZbwIW2hB4IAIrW1dygyRLS1d/OTBb6QBVWAIjIiI721ISaCIieSpHAgAnBgPxsQQF3yIyBQ%20JPFUBUTCBBtwj1gzBKsAW1WQQ0BHXTdUGJawATkKAipEJSzUjlJxPziXBVvxEkNgQQQkFQfkA/iD%20JTuwQ7pljE9gIoQAABCzDv+ABlFUA15UAF10ZsGCYtqiSErgBJGiBT5zAj+gBbnSX/BAAJm6CCTw%20AwUQACnAXz8QAzagBS8QBwEALAegBBqgBahBlAGAZk1wAdrAko6QSDGwMOkhlz/wAgOzZr1xALqi%20BZ/yAq+6ZAdwB7ZSZfjSfjFAfa5YMP9aMGJLSQABUAB3EAMvgAA/IJdGqQFvFgGOAAUI0Azv2mIn%20gAY/AA/RdgoIoQN5UQlqUAmfgFj+UIuUsIAfYXh+kQiCtgKB+TIecwWUoI1XIAifoI3PxTHFM7AK%20SANKghE6oAcKcAaCQQEJ6BJnQHaUoAKUVjQXwgEpmwS7IAaJsAFBMAOu1hUtsQPbMApBsALUCQA2%20QQQqVTdT0xWaBncj8F1aQwFEkBVXAAMYRQRdMQpPwB87QFCF0TRBAAX3Rw8CIADMFzjwIR/vWRw+%20JTlm+zhvwEDYdhmX0W/AcVQBAAvqcVf91gGl8AbokZ5p658TqgatoAbukWEG5zoG5xP/01FWwEOI%20aPWgsFBXqKEAxXFtGKoAEhAaLBAEwSI4iIMf2UOb+mFPJpoDvdkHo4YfdxC3iVAICBIGlUUP+CoL%20SVBbh5AFVwAGIGILTXcmFCACMFcENGJaQHciSPqkh9B1G6KkRKeMsEW7cHAIKnAIRXc/HzIosXUF%20gIdal/B2+HMJUgEkKNV16UUBCQQkJaInXLEDYHAmOXRRhBE2FAAG9LN0SaeMNYInT4c/sxCdWNIF%20TNAFK7IiXbABXkoIQAAx3vAPVtAIvUIrPzA83sJ4EaAELJADPxABNcADqmRLanYCwVIDJ+ABTrAA%20VBRJ/PUCj0B9xvcqrVoAHtB7TqB5/1qQNi3mBE3AlsXEA81wfJmSNsRnq4s0R6lRAOhXAE5wkwvA%20AsMDDRHQBDFQL6KkATf2wpehAcNqAydGku7XCMMSAQIwAKF0AnTkfs0QrLJwAg+wAG1JkhogAOsA%20D6cgAI2gB/2nCX3RAZSQA0lAhhwAA5QgQEmgB318BZUgCCerMoKQES47aX0BEkwxaXLxCTlwx7uQ%20CIKwNEnAASDwTEFAAxTAFCThMbsAAx2xAsdwBf+EIS8zAjTAAYlZUTGTBBsVyjzrMcfAx5PmTkmD%20ahsQs4mATjCTCMdlAjlDAUbIULH2jkjBUFVLUGQTBHmzGN4AD21wU341GTTgAWUIbv+RsoXpoQCL%20pRn9VqGP5TymcZ5gyLaYcRqSiKF+WKFiq23oQQhqCFbPITqEqFROxVaGyFbjER1YpSkSwB7p3BmA%20tbn/4TzUAwSaq9BycCnZk1N9sDiVCyAKsAs8VWoSoARtIIvwAAQl8ycmYiJcQQHWlAWUIBd64LsL%20+DJN4hfhWBIqASZqwCGEQl78Y44/IoxZsApLkwWEUAR64BcugSRqMARVtwozQAgmkNSrcAmEAAIl%20QKZqMCREEiRi8pxEwAQmACJHS1ArQAhH+yO0VRXCHHY44ozXhT9MMAmD2ndbnY9PoFsntAKK6g3e%20sA5swAdN1mQ5cAdTlgIfaQORYqv/OsYo0ELERIliOMYCjTCVBdCUytcKCiBFjRAAUtQGJ2Cr5zqX%20plcuNVAA5UJ8ioR+6FcDXkjFC2ADdzCWMdyU1SAwNSCVAlMArXBTJPDYNUBHL2BJsqQwPsMt7scu%20COB+dfk9aRYABAAFzzotEaABBaAvCEALjiQQbFAG8MCoD8IDHbBPOkAXZUgcSaCvf/YJSVAJeXyY%205X0yIzAcKFM0J2Ped5wII7ALUSUEHsAClhkC4xQE+KShFnGbF3ERIvERJ/FPeHwUePtoFyEyA5tY%20/ESaEaFNeJyYAnIMNDA17k1YKiPgRbNQpWYCK4AU+pEmqsaKG8A8R3Gca0A2QECF/wdhherBhUJ1%20GTlgbtgcHBF9GUAAGTwFKZ5BGj7FGenBhYlgVBpqVO2sAMOjhTTe1z7jM+58V3r7BktFDHcxHaKz%20Vgg3AVruAYFLGYtFGv1GuYmDOBgatoQjPUBYGSlQuaERoiSXGTkACJ+YC3iA35WrBaIgMfAgCw8E%20AsJsIlTqAyogCC7zFqIcFAshCJrAASstWgxBIqVQBCCRISmdBB6idUngpUMiJD5tJTSQIVmgBhak%20BlVAUWqgBhswAyMCXCuwCoRwj4SQpB0yBCbAvWniWkOQJWBTAkpjAiVANSAwJ+HYoxR1WxuwdNab%20dljhWnoSKPgDIlWwXE/Qj6sOAP9duw4K+ZEqJjiH9CphwCnUt0U45n2ospZNoHyPrS5z+dmLoket%20oAU18AM/4ASxrWNSNAA2cGBEXAOa96kaQExaJjBj9tw1EAEA48XKlwO6Ui82QAIkUEWFcNsDoEXO%20wi3FAUs/QJTn4gEFUK4E8JIRgJZapAWKdJMLkwLl+twCcwHN8AJNoAHlOklkkAsksDdntBdqwBov%20NBdLMJlCUQml8DEtwQHkjTof808iYxGFdpgfcxF6IAT+oAOUoAMoo02VAASP1gdA4OA0IBqINRqI%20tU6SJgcqIwGUJhLjJOAqQwOJQLMRxE80YJna1BKqORr/vU4ongNF0U89uAGqduL/a7AfZBPihwG1%20BNUV/NEGevMgyuAeGjr2PRUA0UCeJgbREiDnocGinREAfkG5+p0EHtAH8NEH8LmHS36ekgsp81FP%209STP7CG26JFh01E5vXHP1FFwBsBvXJgZkfE38MEX3CODJLcyhAMYGP14N6UFKUArN5lTfdQe8qEA%20iZALJKptCqAMHA0Aqf52qVUKLgMmLlEEQZERMFREp1kJJAGAiJYxlAkXZwADU91omakGflFOEDHs%20mD7pGAEQKtSUUjNjhopVMwgRKqJpVZGCIGYMUbhqlUQQIC6BWGViA5EdM4J4ErOiz5oZJuSAuFJE%20xJkkIFas2OCRpokgG3RumKHz/9KlISAoDAFaBcSTIU9kAhAgwJu3MgUGKLhjiEcBHkpysSikBFYN%20GzYWKfiBC1YjFjw0nODR1kmBFCnUwrVR4EcKJwRqnNCgwUaKHwMKaCBQQEmMFIUCxxmg4UWMGgUk%202zgR4WqMFwicPBrwg8eCwQsItCkQ5lGhGGQK1KgRgwC8GgbSniCggUcEDU5eRDhR+QQCwpXh5j4R%20wzIBAYRr1y5AIEUNBG3aNIpTSNS/d+q8xdahqcOZJTo4dO+gKUkSSkly9Fmh40ylFUneHHvTh0Yf%20Sisq0UhS6c39PjygQQIJ+qikgz50YK+PPnK4b4UlOuiAhgAo2SUESmgIgYYcRv+QI4djFBghhAVX%20UKA/OZLwIAc5RlAghxxWkMNEGi4cYUESPewjiV08DGImD0MYYYUgJGhxxBEkoEElHyUwAYggRniS%20iChxIgKIAYCAx5tuuqGHHgIUKIQFBRQIgMUBjORqADnkCCPADjwIQIE+FAiBBSBCmHG99QJIgk4G%20A/AgCUEr0aGSOfuYs8wXy4QRxgA4zOGOEHIIgBCqLA3AgDg5xQWUJSYQFRQDWjmThRAUkLFIAjsM%20YQUgCBzx1RxCEDKIIEicQQIgXmShs7gKaAQIJbRQgE0WCAkggD7kuObEOa34Eh4A1FCBgiJKEaEI%20irIgBIQizjiGhmMo+UQHITj/oKSSJPSAKYlj2D3mjFL0SIIDDjRRgb8iikhChSSKoKGUJGgYOIn4%20CKb3WxDUUGOVFVYhiKFSSjlDDU3UuMQjQi6a6CA14MgIhB1MIGINEEwAIFf++tigpCREEISlmnYI%20wgQTdrhkDROCAiGLIYKqoieiiHqiCgouQWqIFQBYwBunysjFBgCk+nCAQgpJoZFGfijAkBiyZgEW%20Hn6QxgkN4BrACSdw4xqrFDRogwUN7ogbrBTo1kIJJzBjQYlFlAhjgBRs0ECJ1dKuBoFFegsOgQVS%200ISHytCOILoawvjBGwIE/+EHURaJQZQUwuBBAS3S7i0GygnIjAcEItACAbUQ/wCOBw9SwI2WCAZo%20Qi8NGnGiccPhCfyAXKz4B7t/FnljCU2W9Y/BDkp5IwkMK9nxE3X7CAG9M/7b0YMd1ytYRfuaHUEH%20GZb45A3t40tRAQmESDeARFbIIZH9Rzijj0TsqA8jWFezFqQhIDiIPW0yUiJeJYdESMBDNwpCm1ag%20p/2tYAQ3uuCQNjiC/DXNQ1cghAQ9iCsOSoAIRBjBDNaAKzFI4Adt8MY/vEQPZTBKVUJqkRyMxKg7%200elRlbJVCIAghxBowUiWUkMfJFApCjHIRIKqUwju8CI+reAOJpqB/gjRIA8BQn8XpJUa3hCAO1jK%20A3FalgfeICf8BQEAc4SSCf9rZSsgsGCMldIggYo0oxBIIAjMShOdAhCCASRyKmsbwKvEhIc93UkU%209PjHOgCwim3BoQpGqQIMYHCFDVwhCVegwRnOAAM9cGCUMLjXKZMgiPMIoggw0EQR3KUHGqigCLC8%20wioEoYdjFCE9SXiXCq6gAhXAQAUjy4jE9FCKhyQDBslQQzJUMINNbOAhKggaCKowBJ1U4VpI0wnP%20cLYCDljsCitQ5gaecBOcmeAJRFAKM7kZtCqAISk+CNoTLDEEHwTUBE1rypZsoISuYQlrggmABBox%20ml/dgQWLkBMB0pICAjQhbyyQQA1yUAAoNAKjFvVAI3LgGR7EJTInOEAOXhD/PA1k7jka+EENNLAI%20BLzACY04wR144IQTLIByvXPCHcIAF+BEIAZei8EialCmu8SgOQtYhAa0cAAF8GBxa+lL7AaQAxtY%20lDcxiJ0GEGA329mmOBeQzAkkUxgNwMMwhagBCWr4jnWw4Xk6UIODrlcKDqggPjs6hnyAYcr+hA89%20MxEXe1YQQHKdgRIZKiUHPuEBPexHDjT4xAryQ8wBJmGDGrxgIn5EgxHQ4Ar2YVeMRjvAAUZpBBuI%20IAgv+MIPrmANG6QBJW42oz7sQoMflMOPhtQ0j9CASANF7QrXQAMQBIFKG6DAEy6BpAG8AB5d+hIJ%20ctEmH1Xwgkg8Ux84mgMF/6AqiEWinwK+SAM7zcqHSNTTndqkBTmQyVaWqmKqQiCG/0pgBiMoQRAa%20JAcxIFEOQBDUoh61rBxooVI5wBMAoMS/FfgxBAUOAQAkkAP0BbJIeiKQBH1oqRcJ6owKkEOa+nCH%20RAIBEHLYxjYG4CEJDOA69KAWDapQhE1mYQPiROYKQMBKUX7iCofdQG9R+a5ZivKVeoDBxYoglFfG%205Ar1smy4zuAuepFwAyqopR6G8BARlMKaVbDIMq9J5Iusogor+LEKLlGyIRhFl0LJn3RBIARgyIAD%207KQAzqj7hDU8QdEUMAp1uzmETWwiaEN4BVLymecq/HMHBHWKN8iQ3gUvAv8AiyDAVA6jgQF44FdK%20sJQG8ubqJjihWHiRygCuMhgWLCEMTvhBDBrRhBpkxQlTYUENmvCDtPWarD9QQNpisACvaSCrwY4A%20AU5AuBTowKe9oY0TAgCZAIDFGpLpi15SQAK55AAaSs3Mbn7wFtrV5XIvkEoEBJCCMxGgdbiJDBQK%20EIDlPGYRbRAFPCj5D29owAOl0EQp/CRZGmiCBuFSZWopga8kJOI9GUoCe0aJMA3i0rH82QUlAimH%20dY2rtxgyGB7hswvUUhZhNNB4hz44IuwlaQ0DDEEiZqRB2dLctkSKEmnXIIErrJNIazjSGoAwAlyd%207Lk32a0GXwgAnt1sJ1L/GigiX/CUbngDHgRYlhaAUAIxpD2GEriDGg4Zq1oBIVYbjtUMcjCDK9qJ%20BSyQgxaCYKz1wDiBb3jDHYsIiBAgHvExalMQ5F5ix/MKS5FXu62SVBJCbHiO2yDCz5OEK0GmCVV3%20OLCRbKUq+gWBBTCSwAoC8AaTt+mIRbRTcZ0AiGlMo00t2lsbKOkNCWjiEEnJAhxgMMssoJIDehCE%20ILalgiwU4QqH+KQeRPD8K8BBliKgcjKzsIbjfzILzjelZdt1yug/AVtwsKUeNgLkH2dBKCOrAhxU%20UIUNMGEDWXiCDza5yScwgSq4AhA4hJYoNAoYCT2wn1+6Mhjgv0QLQKWg/4BkgoOhWAMfeAIm2IEu%20YAIm4Ccw8IGhsIT606c14LSnsIEwGJwmWIQUyIUa0IIUaIK+gJG2MBOMaoJEChyHiotFoLcaGAAW%20+AEWWBYCqI244IG6cAIzcYK98Ix1u4CfohxoaAbdWYtmOAFocIJqGAwEYAst1IK8YI0FsAa2KYAI%208KgCQAAb+CnaQYAmiIETYJsIwAoCoIXYgR1rs7bLwY1qqDYBgAa+oYwYoAUCgIILIAAg4AEW6I2y%20eoHMEACDE7sT0IQlIBhSMiUaGDOZASYChAFByA8VSAQQgCUY2IAVoAEYoIR1EiUKyJAHJEXlookV%20WCcK2IU1uIJP6gMQ2P8FUkqCT5qJpEvFKxiBNRCuNTjBF9ItCiDFRNiA3erFNRiFFdgB4WIhCpiJ%20ZgyCZBwBGDCB3dqBNaAucISBZ8S6E6wJcNwAKbGZklmDHSACd3KnJ9iBDNwAEBigF3CKdRC7GCiT%20IoKSSrE7B3ECMZCwxCsxK8K7GQAEMUAdI1Ei9bqDANAEHaiPF3G7GSgiI5KAtAMEhTikEsuTAKgE%20OwFIPUGiCxIkBAO9BJMjubOSWDm6HBsxOzGWDqiEHCgxAhmAEYOR+soBSqgP2rsgxyuuFLAin8MD%20Q5IAJRCFUzgFeigBTRABOLhK43MJGBABYAAG6RMEDoABpDmEIsgCCoD/A+4TARiwheOTPu5TJlnK%20CE/KAl1yvlT6hIIJJhqoLnDpF6s8GhiAgywYGgoYsvvbShH4mSEYCqUwS1DMAktQgUNIpisQBBhY%20gwTcAVMSBBWwzJ+hgOrCGZQxy2vxJ6PoAiKYhT0IqC4IqCfogiGwBB+wBDB4TQrIgW1oCm9oA8b4%20gUWAAkPIsXfLIwngiwI4gRQAghQ4TrcCAAJYhAHoAyVwHQJoBCGMKAXAqLSJC5HSAgNwQtuAixlk%20C2i4Ch5YNwEoACcAjnVTgN5YTi3sm5faQntDm9toBgKwhrb4KWtgiwjACyeAhmezgdRBANcwxA44%20AAT4t/7EjC+8nBhY/4tqIwDbkcLKuIDYcQTcIAASQA6n+Ae54oAlEIFcahc9OApweSUYqBFR6sxj%20yAhKWNFavIIYvQJfLBh3US5UHMeZMLJEACEVmKx12gVCWAEKGBJKSJkoSYQj3S3Q3KBmvIIoES4T%20mK1knAmbeaya8IREUEVctJlkXAMiSAQCBAExXQFjuoKSSYRZEopkREVoNKfdypnZ6j+QkCdjlBEo%202JKn4JwwkChbETCCvANA0AItQDErugNFpRQrYgHEm4oAOIC/UYAVywE5QR0WSCM0SiItAARAUFQl%20uoOGzBJFolQdiJM62TtHsRMC8SFBKjA5srARyTE5KJMFi4upiDC2q/8EA+iDLAmMwIiL/EqkMJgi%20Zuk5BTii4hoAE5GAQ8WqA4iGuwuDQviC5fkHJ8gXmdGy/vCX5lOtmIGBwlQBESjMbaFLWUq6KwNG%20I2s+mmilFf2yT6iEjfsEXMoBUeqXmHiCIBCDDShSj8gIf5m4fOGIMgWBZCJXzjwyZUomJOstmAMS%209LjF3aqJUdiBnaiJd6IAeCSCSSCCeFqaJ6CueayuEcgBIOg0qAiM1RiAMMgFaYgwLaCcBTVPWXCC%20FBCORfgBrAoLrxkAJRjCFCAcyKiB5wCLATCAO1iECBCcwbCBL0yB8mSLq2iG26CFvnACa3gBNAiL%20AviLE+jaZSkA1un/QqWinWpwqznsjQjYQq/h0K9FgzuMqWpoBWgQACU4gDA4gdYgARuIgfTMigP4%20gQ71qiaIgAVgK7OiUFoggafhMXiIgOohhIERBMQCGDhID/4AV8pSrg1CmR4xiR7NH1jaBdoSrn+V%20iV6cCQvZBeEymJnoAwL80RGgADk4ut3quR8tOuNCup5buS7dBYDpg2swMEEIIWKEOlIaUg2ihJtD%20RUL4USB5od16IVy5XpClEnnMH9ySAyhQWW8ggZYyO0CQAMSTMBg5gABwO0WFEVEFBCcw38UzEw9Q%203zMKg18ZNgmI30o5ExhRoiSyIk9d1CBCr9eTkDkpBKB9ERKroyQp/wEogWAoGQG5GwD+ORZDIJMX%20kdTVCwMKU4JECgw5+AEbI5ypACD08pAy4R/zcpFEIJM3wAVeJZ/0UgJEoIdT+IcC4LLlsxgOAAbz%204Jcv0wRNEgqxRKWyTL5lygKZGZdU1AN9GQGwxCU0NaVKOIZ5AQZVeiWCKYVrGq0mkwhispgzWIXz%20y4gSFRgVOAPOpABd/MQg/bIz+AQ1kIORM9M4Bbp4JAKONQEKyIIRuNM7NYFLoACEXQGfCaVrGZIf%20+LqnsAKXFYwCUIADqAMZHAxZWBvLAFq5iIALgAZgaYQyqIGu+VqwaITW8Iui+pznUIDWOChkqwEn%20aIZmqIYmqAZtYP+LAD0BASDQasiBMkCMH4CGz4GGtbABa7AGNuBQ3oiAtH0LyomBWo4A3ujCatCA%20aqiBaogBG2ANG+ANDoVabA4LDXi2ajCcGtBPEqiGIyyAZjCrOnQErC0OBKAFePgHekiOJFADQigF%20g5G5ZbKPmXjdHi0Y9iAg6DIYEDCY/GEPXwwBUTKJK3iV3iqsXVhocimFgV6VoevRFfDFJbmR1LoC%20CUKYlQjp//EsIunRI4nd+4iugZoB0/0RlSjGmyGtmbjeDboZ65Wum/kWQdDFx/K5Pd2SelgHKziA%20AwBhLQDaRGKBA2iFVniEwSHCFQwDEJY1BQgDLbCGA4CFOVFqFrD/Acb4m6D900dQ6kegasEplrP+%200xx4BEqOVEE5gK5QgqzJGj4A4c/5ARAOYUVipAHIhQGYhjDgg1xoBErWW/wNWqwphGkY7BSYBq14%207LxewTUphK32AFiwayUI2kcIgA4wAFiIBrDOgalGhG6oJCfQAR1YAtheAiGQASGoBA+4bTciPA25%20uy0alA44FPRKAtfugDmxlA44o5KUkNteFh2YgDfqgPAg7vI6k/49kwNokDeIkzcqk2Xh7mWZkxBY%20sVQxr0Rglhxw7UgNAznAqjBILzbJozLhqG1IgTJxVlbNMWdVIiG0ohVAFRFZDwWoIBvYknWoh0xQ%206gAohEaI6mnQ/wA2+No4wOpqiFQnsIEfCAsWeIRcIIMfqIO6qIMaIAO0eIQ4KABrIGslgIY4qKkT%20X3Fr+IFBUAI++AGe6gsbiPG/hYwwGFwyeIEFVwKwoPFMUALVmJoy6NBtPgEbaAQbgIa6IgHRqQbR%20UYJuLoNFEB2ucY1gFgsUaKrAUAIQX4RCyATIKAMbSOwYQIMY6NAYaPM2H4RbsAEroCF8pgcNyMlI%20eb3pUZQAOSNFcSNmIRMD6QAzaSMPUAA3ugM8lxBFIW41IJ8AOZBDp2RLDQAtWBRmKRPzQi++o/RG%208gDSSy9FmRMWaG9L9R4aXhRGEXQ3+hX+CnQK+7AcI7ZZb5Ms4f8oJeCVNMELBSBuVWOQvdOxe75W%20b7ACEujQF6BQDiUAKyAAUSCBNhCABTh2riWBF5h214DELl8EZWgDeIAHa2+qNUd2AnCNcj/2c0/2%206DBEDu1QZl9zbyeB0Tn2NqD3xn0BWqh3SIREKIBEZz92UXB2UVgHUXj2Nrh2cJeOFxAFbx8NEij4%2051SG0Qh4aC/3Nhj3F5CO54yBarAChg/4aiOBd8Dnf1gAbTjCC6iqyBCdCFWOC/BkRLwAKICC37mA%20JriAa4eCRbh5KCCAC0hElCcAapb5nicAQxiN5yz6IxR61/Fk5ThCwkhEoF96m5f5I0REnz/EmU95%20mTcEkBKFog//+EPcd61PREi8AMd4gZ6febafebXv97bveatPxHvukq4180a4cmV4B3HfZjaIqR8o%20A0PMBGgPZjIoAxS4cjQoODV3Kg6tAStAAxKwBxKogTIYBA5FgxrIhM1HA+DIhAWgfNEhAXhAgRDv%205jawh66NgXonATRog7paB9eI9otXcxJoXNYXABRAgGM/9rx3DRRYgHUgARSA9jW3AgE49sRv/OSP%20AbEjADRwKuV/dhQggGk/9rCIARRYBy8BUVFYGwDgAQDYBiBoBMmoGiz5GmEBAmGhwVqTDGlIzkYw%20BCD4gSYAglzggW3gAUMAiBMFmvDg0aRAAUMFtiU0JLCAhoEI/xshLLAIoYYLCKU1qdEoBYECPBoV%20zKihBsZFFA9i1KDhYKMmBBRaRLgIiKEmGmIOXNRk0YVFAn/qdOlTQ0gATgoAuNiwADx4//69U0eV%203j+p3rDS6zp1a9d1U+HRE+vNW7d/3k59hXeW7Nm43qRi/ee1rje1ed3K9bbO796zU7sRLkx4Xbe+%20cqd25TrWLVmudNvQg0sPbNp/mady7vxPgAC7ZEELKKxWwIK8797ZdayXNF+4Zy/Ta8O269u/feH9%20hTx1XZt163BzjntZrVqxarH2/Tf8Le7Kjcm2EeycKmex0sFenqv47N+ycmm7jsrXsO6tp1bn3Tr8%20d956bZKXlf/6dR08Wun9CrB31p4A4J1FhzcA/gXcZcL95pVd+MmVXnUCpNeNfYzp5to6/gkXl1u9%20xVWdN9XZU52HIR54HFas2ZOWWIT9o8473cQYoADwVIdbcIFxuNxlcPHV3XL/zOedbgsECFljeSUo%20VVRv/biVWlHpRiKJWOmm11zLzdVkZVp5t6VxgjXJ4YeVvbWVN/XIBc8p0s1HT4ysdVMPVm6doiRX%20rNVlF2dwYZmVWXYBtmWAeSnHp5aBYfkdcn7RY5iLiUm62HGIthnlWQJIJyhXW5G1nJqaccZiZuvU%2081lojaFWWoxUGckZa1TFilamAZLw4ZaMtQaoYumlh8Jvwfr/5Z9zBzpnqF//+NdeYnFtCOZctDmb%203FSxfhXXsQIO2uSR3znI1ylGutXNivl4Q4JblCEq1pV5IaeghWeh0Nc6hcZV6H4HnnkmtXXFCtma%20hfJVnZBTzafcc38Z/OC9X4IIj398/SUhX+Bdl+1m3XwxGHb1GhmgmZ89uB+I+zmLrMLpgcbvbZWZ%205WCxJ2srL80M+zWkbiZXPFdvB3Z4Fohf7uawgPY8ayY9bK22mWdNO/001FFLPfV1p4pyKtVZa701%201117/XXWc371Dxr2oXAo2GmrvTbbbWc3X2douz033XW3fSjWnQELr919+/231lZEUsc/wAJ+OOKA%20I4ZlGQaI/5ImLIpQxXTilVu+NotkXL4552qze7EVVvwj+sWdm3560230IjofsKD+OuyebWgFKD+U%208U8drUyVd+y9W95iG630wrvvxSf+OWd1wCIJLsASbzz0dJeRRytWkDEBCtZGvz3di5+1CCgHGFCG%20FbhsbBX36butSiMo8HGA+vF3PxUKZIiPAiiqyL//1+yDQgbt5Ma/AU4Na3kBnygOEAllgMIKGyMg%20BKVGAka0ogySmAA9nhfBDZaOXXUwACNw8Y9W8MFwHDzhPw7Ah2VMo3xnQyEMD/MX2iWQD+sABSJg%20CMMfGOAU9SiDCHUIQ3ihARdkiIMIFShEDhogD+NrHBqWuNzBzeSlAOEzAAD9gAKxSZGAkdDdO34A%20ChN2kYDwusf4kFgPFRaujPxDRCN6gYbcPdCN/JtTe9ahEs3VgRH0qKMd42eFJpahFwbQYCDjJ5ZH%20GKAVBvgHI/iQyAGuAxZxEOAk09cezpwiEo8QVSbTRw8rxMEbkYAFJkOpPjKU4R5tmIAV+KbK7bVy%20lunLTHsEZIUcrsaW0GMXCg4QB19Ssg1lqB4xjYewZMZvk3CbCvqYWbx3lIE1qZRm7JSDBv3JEpud%20W2Y3vWk6XDZKLe9Yh5zE+boXBkudv2yjDgMCADs=" height="124" width="623" overflow="visible"> </image>
            </svg>
          </div>
        </div>
        <div class="fig"><span class="labelfig">FIGURE 1.&nbsp; </span><span class="textfig">Tractor used to form aggregate with 
          harrows and land plane. a) Tractor YTO x1204. b) Medium Baldan harrow 
          with 40 discs. c) Baldan heavy harrow with 52 discs and d) Land plane of
          national manufacture.</span></div>
        <p>The method used was the investigative analytical and the photochrometry technique according to PG CA 043 (2003), <span class="tooltip"><a href="#B18">NRAG XXI (2005)</a><span class="tooltip-content">NRAG XXI: <i>Máquinas Agrícolas y Forestales</i>. Ciudad de La Habana, Cuba: Ministerrio de la Agricultura, pp. 18, 2005.</span></span> and <span class="tooltip"><a href="#B19">NRAG XXII (2005)</a><span class="tooltip-content">NRAG XXII: <i>Máquinas agrícolas y forestales</i>. Ciudad de La Habana: Ministerio de la Agricultura, pp. 13, 2005.</span></span> standards. Although for data processing, the instructions and methodologies referred by <span class="tooltip"><a href="#B12">Jróbostov (1977)</a><span class="tooltip-content">JRÓBOSTOV, S. N.: <i>Explotación del parque de tractores y máquinas, Ed.</i> Mir, Moscú, 1977.</span></span>, <span class="tooltip"><a href="#B7">Garrido (1989)</a><span class="tooltip-content">GARRIDO, J. P.: <i>Implementos, máquinas agrícolas y fundamentos de su explotación., Ed.</i> Pueblo y educación, Primera reimpresión ed, Ciudad de La Habana, 1989.</span></span> and <span class="tooltip"><a href="#B10">González (1993)</a><span class="tooltip-content">GONZÁLEZ, R. V.: <i>Explotación del Parque de Maquinarias, Ed.</i> Felix Varela, La Habana, 1993.</span></span> were also used.</p>
      </article>
    </article>
    <article class="section"><a id="id0x469ae80"><!-- named anchor --></a>
      <h3>RESULTS AND DISCUSSION</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <article class="section"><a id="id0x469b100"><!-- named anchor --></a>
        <h4>Turning Time</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <p>After
          carrying out the tests in the productive scenario of the Agricultural 
          Rice Farm "La Gabina" and processing the data obtained, the following 
          results are reached. In <span class="tooltip"><a href="#f2">Figure 2</a></span>,
          the results related to the turning time of the aggregate formed by the 
          YTO X 1204 tractor and Holmeca land plane and the Baldan harrows of 52 
          and 40 discs can be seen.</p>
        <div id="f2" class="fig">
          <div class="zoom">
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URNk1MY5%20LUFMSSyDFtDAqe1VhzLqwYAD1NbCCyAiXT8gA2UqEbJYHSwBsOGAB7xFqJ/k7uS8e9QDKlX/VyrQ%20hOcOAAMa+NWZ7sCGidEpg6zGFx5NrYdP3SFMi+mgrABowYE/YA8a4LbLt52BELO8YGzeUJtlmYeE%20pWHhyn7gsgRQMg+d+4EGKuMrkKWB+WggjmOJgwYAsIcy7cGAWLqjy9iwMwKgcaGD7bhba/SxGx93%20KmhVzx0OMAFbHWg+GYhjH1ilKwP20cMsV4OBwh2nPa70AE1oIgbYgIE7+HjTj0JjEs6l9QKc5slZ%20EXXNogQvKdeyAoFQzGp+8UtQWgKnvcCqWhHjxwbsUakPVCOnAMjjFj9NgxlUQwczwIbIgJvfBQCA%20AMpwCw4QcIIHfEAZi7zADErAWRkwwI4O/wCiWSo3Mcnxiqlt6YhBiM0VBuPwKj257tGGxhHXWA1O%20/miNzTBVlg04QAWAgocy7GFFQKLAgxaIkQsZkKgyfsADDgjQuzzAABR4YB5c3BTIr4oDZUjjhKnz%20m7rM8je+XKlQ+Y5Q3oKH3awEu41xo7lThn6xvsuLLIYSCLeYhbD1ec1qH6HQb1TwDgENSgUO2JRW%20P9APeJjAri15h+dCbIIFwB3yFXSA+jxgRGjQwB6kB8Cc3NWvk/0PJOaKG7N4FrtOeg0r7zaqAcOr%20lmmVrXQVc1a18hawj/ya2P7QgbyQxryZNLnnwiOKC9oN868koDUeUAcD6jFEHVzJBbuSS/9V6HV4%20f2j39pIRyOzOYvOzFMtYrnOXB1yGs0JNiSXv+sj5l6Ur888OVtExPy2QLUzlFxdgMe2GA82CJJii%20Dtw0A0MEIdCSGqaDA3AiNgZRLZgDDx4QOa6hFneXWnrnFJfiAjXjN86iLrFjJVTBEjrQfyigf3GD%20A/GCMwOhAyigAzIwRHxTJMNjfT6RKSwhShHzAQTAAC81PHARMVdCg/IiNPFDFOpQKCQTE1/BDwtg%20eFeRe2y2e/OWFmNBFGVxJVUxcXrzb7kyd7BCMfbXEsfjLPxQDdbVdyIEFD3SLDgAD3BhgzOxeoAG%20EmqjNwbkE+8iOgVxgP7ASWnRfrinPY7/YzMPcBBXAitlcX1toTPu4gDwYC+etBfrww9F8y7XFXD/%20AA8AcDL9MC3q0BdFczGrGBPQ0hcZRH1mCDw9MXEhITS6ooBEYTeIYn5bEYI/NoJM8Ya6cj38cH6t%20AX7lki+ZNBDg5xeFInMkZCgBszRppEIGWBYKFjFDBw9X4gHIwiza1YLtAjd/oynL8gDMODx3c3s0%20lBVcGG9I9YVpEQPwkEQnkEHTMQ9e0zeRcQHcAgD+8AD2YIL30w8uEIgGQX3gYhmL1BhfsQIA4DEf%20iDUJQCFV4YH/AEgx8opY8xIx4A96SJFdY4AW2XNrwYhXYRjuMxM4AA0Q2JACR47nIhDB/8ESH5BB%20+4CEekE1/OAqfScUQdeE8AIAL2IC9mA2J+QClDYT6gArK8AA3NIPPDNeLRE/k/Me/oEQG7APqbOJ%20ISEdiDVaqvNSIZE/VrN+ViGMw7YVAMBcCXUxXyEyY9EYOMAzOvABD4BI1ZApVeFILEFpb9gv87Ap%200vAAgpRBeuECLzIdvBg/l1INyjAdiHI0uqgXQrQfVBRi8RQUxSIlJrQPJoc5PCMpygAA0PIA1Fcr%20aqZ7o6SIaJEARsZq7LhLh5RXKoR5AOB59nABcSlB1eAAhQIP0CAOKQR+Ric2K0CcRJRl4nACKFAC%20gwSc8LAA+xBC4sJ1QhMny/UjZuYWFP/yACeADfARA1m4AVwCD+/wAKzpAB+gfRZDkQ/gQbkiPVbJ%20FiyJe550AXVGAwdAkftgMUXEEdAQPQyQQZwTA/awAA4gDmckDSYgQTGAUdEzSDHAaBUEDVnWHjog%20DgTwDyewD/xwAdDAAOqwDxZ3AmUWIPYCVSaFHQmQNwAwYQiwAi4wDw6qZ7O0k9IgDmf1HpciVNhg%20AbZVIR/gANfxADGgDD4UW3+JfljhlnmXFZeCbjQwCVMJDcpHmf2wAE+VcH0BDfawAibgAj9KMAxg%20DxTqX9YxSGIEABunDK1hApo4CQSAAtgwSO+ADSpQDaNFa/NQDQzwDixhD59AACrwRQP/gQN5JHoW%20V2Yf4F/OlKDgdAALIKS64gEEIGgB+h4ndEYPUGAnsKgSpBXz+F31KJtbUSgOoAn+5FgE8KRudQKK%209kya8E3u8AknxwAyoFEIUGMtIDYHsFIwMAmqdAAzoGwepWnuAFXIqlyJJmP2sA/8dAD2wE8zkGX8%20VA/ucAJblTcr8Kv2MAPuIFMwIGEL9AnQgFzJ1QLMpAwIhgDiwDsy4AT6ZAEtAHCpYmkNphXGcgEL%20AGAAoFXuQEfKAFItUGeYJQMI8E47tTufIA4mIGju8AD8gA1OQACJdQIlkKUb9WQmUKxNRgBOpgnl%20SgNOsA8wcAIgVQL2cACfYFcMoAlO/yBa3UADCICeHEUDWtU7x4SnefZMB8t9muBc4lgx3dACiWYP%20R3sC6dqu9DQDJyBYDnAQrRkVVPpQVxEDCEBlCDCxB1BPLfAJwqSw89Q5JSVT+xBj+0BZTtAC/KAD%20RwtL3SBH+NoC9AQDHNYNXXZRTsC3DGRjMJBI3bAPJgBasDFRdPSx9WBXwaVSqPRM+8BeWyUDJVAC%20ZfUJyqCy0kAvHyBhYHQCN9UCg6VsKrUPTiYDyyOPr9mFsckWXzFlCWVl3XBgr4ZKMcYAJuBt7nCu%20CdtKBMA7HXax/zCrLZVOxIUN2FBZ7WVYJptOWkVcFuBfrYQ+0qQJdhVV3ItOLVAxev8LA00GA7Pq%20XAswA7YFUO+UX0BaD/UwA9SFWwcgAzX2CVmmheznrzcXFQZYDTp7vJkFopVlAYSGnDPlrQRAqGOl%20TghWRwegAhtQAjg1VS0lDouaXgg2Cb0rbnQ2AxlVpDNgZZpwHQzwaiWggzRFYlbVAi5wAbarYc7U%20ZeJLUxomYfeUX5PgAC3hABYQIJ9QpCWwALDUXuqEDSYwVQTJFVsLZFHRuSFhYOcKUt2gCZ0KDZsF%20WvNbDYiFp8nEwRfLDzAwTU9mW9BQDfQ7vLP0qyF8ruZkYpPgbORUqt06f3T2T7kkUgkgDXSWXu6F%20TOIrDu5FaMz1aEBqLzW7dPUgA93/YA/SIMFhbLrQIFv2i6qvS49uxhYo4ADdsEmJelZSjA2AvA99%20JWOiJSTmBFtdVVOTAMH6JFWAHHXqkLgf8AkihViCVVctxavnE2MtEGLwW1f8MAklYFMWkKiD9AEC%20RcUh7GwAKrGwWlPINFfky1LQAAPiYM3iELYMgL/5m1eXNqWFgSkLgEoJq1wsJWgtS1Ny9Ald9azK%20JkvB2lUYZTEl0FUN1wIAxgDzpQwGO2VAagH2IA7U1bYSTGJC1Eo0MEhY9VEACgMm8A8q8AnQ5mw1%20TL6t9FEa1gLFLA5q9SIdkU7uJFYcJ7MZZT6eVVkL8BHxKBVLTIxLAQ/bBw37kFkx/zVHmYVYnoNf%20sMpxgFW4Y0VQk6B8IQxZJYBcfgqiT9QNJlACV6UJi9xceUa+gEUAXYRbOuufMVW8BJBQE4VY4GpY%20NDW87IVgIVy9ahUc6mkBz2RnmjCuxWpl50bFt8uYuFfJqnrJbDGuNOBTJxBaRfoJr4S4HDUJGk1O%2053O0FjZmD/wPzYtuk6AMAn0+oUYAJEUD4QbIvOWyANVn4vAJn5CuAGpXiuwE/eRTYsO4b8yxzIVO%20IEVi7iUOIIpVr5ZKh5VnlsVRFPsBS4MW+3kWDKBS0ERPRzir7SoDBWsBBGBkifxsLdWy6kQAhpq4%204jbC7mQB56ZsiuZcJbCsN8tlNv8LyYkFogBqAiEk3CWQXBW5AufD0RFXVmzlX+GGz09GuvVwAmQ6%20ZBwVUwTwAYnrWZVNvrerw7vdkj2Gd1x7FWn1TiZwAvSUzVP8ATCwdBUWTD9cUyCFDUWNTNPXucjl%20DgjQU4RdU4U7VbYacaRdwo7WVhI8aAb9D41GtlplKdJA2ARQuR87sczFVgSVs9FbDyawD9LQGAZV%20D4ULAyXs2audTpD1U5S8Mt1lybyXFkJTDcnUoBv7AS5gUe3Rm/tgxAhwTPBZRNggDWFuD5eCAD3Z%20rg/AADWOAAGSpG/beABQwifgAgJNAyfAAA5wTB/H0eAHVxD6oNggjisADV7+Hrz/S7GJhg1exB4F%20kh0ywKbQ4AAnEJcfsN2MzABPydv6uxYMCh/SQMWqWaOs4gDJk0dJ1HkWQpmvAgAeMJfzYHBKtAGK%20+TnS0Jz1qQyusrN5fgEf6wSLxA+bpXrscaoVBQB7qQyIA5zN6aD1aQK4YnEPkEkSigD9wLvTnjqO%20Wun1mRogB0OCVA1apAxXwpYsXeAiuBUrkK0LULEt8A4Dx5cxonRJqgMm8AFAwnmrsQIOKhBZbpCU%20h0gv0psAgEcfgAMO4AAbkJobcK8WYHB5/DlurgwvKGUTOg8gByuOCnb1uQBjdHSBMigPIKHEWUnq%20AADwXjFL5+p2RaifA6bwUaOf/5u1T5GqbRblaSFwMUiSDkAA0gONQoghOzN3HKGL/gAt/ZC0ypeE%20Q5Mapbg68CAO6dWd5q4/TJUlEZOXQvEVC7k8OPgYydgXk3I4GIkyUsrp3vyvYKgXKjBhkrFy49M1%20fvc8arMtZ1l3MEcdYYOo4jB9X6F8+Xl7+dYaLQgphB8ZaaR+8Icv7TYyKWj28kIxNA8VLZ0WAIAN%20n4h+6vAu8QIT6/MtqkM27qiSeS8X4PcAnwUD4egR+EcQQhHOquM0TDwxfrE+KNAsBtgSou8+0+GA%20WFPXTg5vd43zs1kqOmBXGDITZtMU2tUXOAMP3Nz8CSdBG7D0KMAzTt+ouz0uAP95LbUiEFE5+VjR%2022exLNfvfdRhfYQvP12yN6PzN5Z5MvTCd4gzJTsWYtOy9AlhNqoIEP7+Dew38F9BfwINbviX4B+/%20gxtiFHQ4UJ3CDQkSZByYoOA/dRU1JjRY0uRJlBAdvqvmAgDChwdRzqT5b4O6fg77eRgYo+dBhwzV%20PeTnr6LNfgVxlGR4QSY/n0eHyhzoYcHUDfBiNszpFKhBFAL9qSs60GiCsjYHMnzINiFJgw4dokhg%20dMNHhTX1EowpsB+AFRAhykwADwHPvYlR3u3p1ec/fxsgLkUxkN8FfuqGejw4NG3lf/COVtzgj59D%20zQ0vVBwMcSrIoyZRZIYnuuP/vxgCp/r7CDlpP5/qGJZm2G+wYuQnSSYA4ADA8eSJX/fL+xizyoaW%20QWb/WX0g3X5sbeL85zWvU3iIXeQ8+AEA1YZ5IeaFq7ayeHgCQYN0fXx3wc3Wii26k7BjySWYIOqN%20wJI+YqygCyhasDKtSCuIn8GMgmws1AwiSR3M4FnKnwdw+2e2fwDYZ4EF2jLJtLWKWys16hIyTqGp%20XkvgoofIyoshgbTqSK79GDToQsgOAkwwvgo7zEjF1AFvIK0Uqqiy3kTajjsY/9FBQMZ4nM8h6ELT%20SKqwgOKnH3h84ke8IxdU7sXeoNvRo7PkhFI5gZhzrsw9UdKJqqXKs+yo3vrx/+ofnjLTbqsAQdPK%20AxM+2GADaN5D4IQSP5DmL2w0aQEAe1o0iyShEqiMzLNMdCqvp+CqiKIk1yqJs0ANMrCll5JUMNfX%20eHSKLSAXUos0rSrjTVdmHyXqnwWkAYABaaBV5qoPJpnhBAYQUKYaFOz54AEcPlCGJ3V8Uoi+FwnS%206LSiFFowKy9hKzauIqFE0q8lt6LIMMRyTYm142qDh6264FFUrZgq2gw7rT66AOG8PNvSuIWEPJE0%20OmOUjaANMIPVJHjDeq1BgWdarrnnUkZpp+wwFsm1nM7a0SIPH9KYPd3YZDiGBFpwwgIZoLHAnX3c%206aYFZSaxgAEYuqFhhn26mf/hy6HC4+5E+Kzc7iazHqrxNkObyg4tDNccec9dEfQVPihPgyzNQWWW%20aajSjsLuNjLXMo1DsVWFgYZ66pkEmknqOeGDepwgAIYTZDhAHHvq6QYGBibRxB6BGFpz0LpqNC3t%20WkvfKiKHvCJt3YQAJXBfJQPztyGAXV5svo7kXDS07eR2KLLyGNJ4qY9uNvRYE9mqLMfWSmtorsg+%20KMEDBr61jDyTEDptXpyHheyxAW1f+U/bS3qNoaC4G1RjE7crjMrvbsu3pAdmQLqbT7qxIHHFAZih%20HneIAxsHKEHlLFCiiqirLmoRytfwJpeDFARhfPnYBKkSPiO1rVcC+RWwmHT/kM5R8DUVk8lw+IGl%20rdWqILSawdEOMIkDfMICFuiGDGYAg0nIYB8HqEcLXugOBLijHtioErFs8qYjjUwkd/FIWTRkEK84%20ZSh9MmKgYPcX2Q3mX08SD+AMlQB7nKAa79iHNBhzPJS8RY1rZGMb3fhGOMbxjQUogDeYcI5pGKMS%20uGjBJ2qxgw6IIA3+SIMI6EjHNPCACYvkASEHKce3yEMeIeiEFixZAEEmpJCYFOQjefDJT/6jkIYs%20wPhaVj5UQkkd4oBBCT5RD02UQBmD08QMnKYJbMiAADD8hDsW4BUkplKYetFgguA2TGSuhQAzmAEB%20xPFKcRitBY+bBAwOoAkL/+xjEiU4wAzwB40SJVOcR+pL7D64xYCpwwNsiUE1BjIPycEABp+o1vEw%20OE5x0lEeTDDkHzyBCwDgwhMd2IEItiEQUiLyk4wUZRqSIw9vdKIToxCBFjDpUFGKQKOdHAgoQzlK%20OprSdfgcpziG1gJoOE4ZBHACDFqIy0nQoBsw7MYB9sGAcD6PpMgs5tv0tFOXxUAczKTaAGlwAqPR%20ABswIIA7NBFLyMFABtgUhwkAUCigovKK/dIi7Z6kNZu8QwWImY0KbNhUE+DkUi7AQVvd6lYdxFWu%20c6VrXe16V7zmVa91fQMGMCABBUDAD+4YRCAIQIByQEACEMAAN3TAjh70gP8bk+UGOyDbA3bsla7l%20KIc5zNEDHYBWB5Sl7DYgm1m5mkMHbT2tIZgh0qzikyHiqMc+BmICBvzlBPOYhz0YwA8AmEAaDwDA%20BxzAAADoYG2xtV1POXhM5gqMZdVYwAqqsY8H8OMDLVjBAgDgrQ+oAADEdYC5pLWCe0bXSFvNYpNq%20lx0PYKMbAPxAAnwiDXEglwAyeM8/3iGNC7jgAQMmcIENfGAEJ1jBC2Zwgx9ghjdAIAISQMMBaICM%20PdAAF6WwRBAkIIE3DDgPeaDHG0z8gBFz4QECdvCAzVAKeoxjHHkYxwNKbGITm4IeXMgDgV1ADyDT%20Y8V54EIPDAFb9SLTHyf/sMdAnAKoNoUtATiAE3WS3NzsHGiDMfnplaMDJ4bRzlZj1o5C5LZcLyeH%20vef0Kk+C4gBl2EMZJmiBQ1RwgKedwAItQIwOVJAZzQRa0IMmdKENfWhEJ1rRmqkCOfwRAm9wogUl%20AAALamGLBvTDGwpoBgSosY54rKMZnFYAHehQiB1IctGBrkKrqaGOK0hSkgqQhwJs7Y14VCEe1Hj1%20oFGAAmqk4ZENYdlI0xyoGKgrN02RIGoUghmy3QrMx46Oc7lM7fU6REjCW0uF5Fak1kFmYtDFdmLW%20PDsnBcwfMViAPbBRArZ4oAQlWMA+MlWSdZY7ZVqoAhsUyQRhNEARIMhD/wBO0QxvQMDWhNSoNxzu%20jQJoQOKLTI4WRDAKNrDBH4tkQgg8/vEQbFTY//BoKBuKZH0Hatq3GjOgF9iPkBynSylHjrU7SPPk%20gAbNRxzZWPoUNpybu5xYZHO6n2dnTThuA1S2SU6NI5cVxCBtU1/Tb6x+daxnXetb53rXtW7qJoTg%20kOEYggDuwAdTa6CO3pA4HW2tAG/sQO4a2LTXrU5HLXQC5Ez4jbCTslFB/sYjn8RQPxrZp2IHPVAJ%20QOAKYiIckAAzLrBKiuKTY3NyW958tpKMZIAzIqBd+11hFrfma3LurhpdSMzRBA1agL51aaZPO3pA%20ek0/k0LQoRNMiHgeZv+wCCpQ4Qk9iLgIPH7ItXsjBBKXuMOTUwAtpIENHGeCyUfeUGFjlOQl/yTK%20b68Y8NHPyRBxytOJBR3T2N70mO/y7T+ilcdgrDQ/Z0hljnMToxj7+6h375PuhgDfcgAV6Jz5e67O%20WYGT+b6SSD9csSTFEoF1aIVUWAIKtIJBiDgNoIMCmDvj87h+aLs0sLXk0ChF8jgm+AcRoAOJKwQ6%20YobT+J0F6qiSEynQOKPwOI4HcDwdWIDZEI75UUAgDJSfqwYHWIH+Govc8JCEwJ4N8ICrOp36GKbK%20WwBoYAAcEBeQQIASQIAfDEKtKid/4Kr+44nHAIAWmAEZgAETmIeSaI3/JNkABPRC5UgKDNGCPIAA%20CFgHEWCARaDAJcADezAEtaOjudOCfTpBDdgBOhABEUQOEuy4EDhBEZA4RdTAKngRjZBBj4ItFPAK%20EfkIiHgHZqo3bACwtfAASEpFVVxFVmxFV3xFWGwjwviHaqiGeXAAyIuL41khBpABHJCBElCHEtGi%20pOCNeIlFN7KMzCGAFtAEd0CvPpqBFUBFZKxGa7zGNQI6c0K39+qJE2AqcQAAtrCyMrOJOJTDh1ib%20KjCEwCoEDZAGGvBDDigBgpq7AuABj5OHf0C+jXO+6IDEEOCBSUxEFmSDvQtIbTSI7kM88gENabgh%20bECA+nOBZiSAbnCH//fwGXTcSAaBoAN5h7XoxJhgiy9JABnohhOoBwLgh5zyEOPQv0C5jxaYBHFw%20GmjwkhLASI4UprA4ijBsL8J4Lx2oCA/AKtyoCAM0xwTcyX0sgE7TgD8ogVDwQzzwBGN4BDLYAQ0Q%20gQtQPiZIgEMSgX9ggkZMDoAUSIJkwQZohiuIRCaQhzRBiYUktj+ZigfYh13KITYcCBXAhncjgCbz%20hwt4gAVwAcM8TMRMTMVcTMZsTMd8TMiMTMmcTMqszMXUEDurBuLSRn9YgL28C2m4yH1opnrawRUQ%20MMPkLcuUTML0gAfISRxygn1IAASQqrZaTdzMTd3UzQe4AKlTiCIsuv/3Kopg0oEKGUf7e8Nz5Miz%200Ax7JANW2IJiQIQ+eIUImIYt2IIp+IMQkIAgGIAgaIaB/IcQoLV46MKZEDaAREENLAA2UIAIGIAB%20kADlC4F9aqTsy75ToctT6ocHqAYE+IATkAYcgAgXEAcCWIAP6CbH64cVQIDdjFAJnVAKrdDLhCAV%200EwH2ID9cICKPIEWuYB9KJwS+IBaGggcqAYVmIcBYzELPcwFSAAX4CZtsYBPMAETOADZpMUX7VEf%20fcze/M2BCE5u9L+BWAEZ+ARNIAAXgA5QVM6lVMDlSsQC8AVPyIBpEIFmmDAFKAAfMIYtYAUTuIM+%20sIIhQANJkLg0cLj/ELg+xVDPj2NPDei3CBgCK7CCV0CD+vykYMtPjIItufEAbZoED6gLf5CGGTLD%20STABgbgAHWg/pozUs/GvlnCnTHwAe3gcZ2KAgUAAE9CEyJmEamGIB5C6cVoeaajCasgUaWiByDFF%20SXWZnvQQMQzKJ7kAp/CAGaCBT3i9IcEe3IHDKP0+spC28kwEVtAFQYhEQiAoZlC4LpCAWwgFK+AA%20KuAARKAGuYM0h5O7ERSBEgzINKgC92yGO6hWDviFV5AAE8TPURI5kRKPBUi6ehDH70AABliBd0CA%20LxmIB5gHbAxYgR1YglXFWaxFF0CAsFEHHUCA4PqAgLGvC3CPn3AB/1ONoA0Z2I0YRyqJgRXICGcr%20WJEdWTXSRqIr0oAZCBcYK2hzFJ0K1uXkyAswQmlQAEuIhC0IA0hTgA7ogEJghsB6O0S41mrtA07Q%20yp2VgEeYhm8NVx5IgwKoglGQgCG41iVwAkSAAG+YJB5oKMDLJIY8JaDhB2gggHOhEqTEkK+IgZaM%20VbcdwiJ0AJ3yEgawHBOwlYIAjUIZzEUpRmQiE7zZT6N0WysCQwCYB+E00pNAHxTYlBWYBxNwvLWo%20hg2wtbajgyu4gk6Qh7nTAI9rglHIQDbQu2ZQwVHohFGjgyrgVoebKAxMA4+7glajvoXkDY0bBdwd%20BTz0Bi0ggw7ISv+P44FREAMB4AA8eIV06IU3CEiGy6SFCgEIuAMOmF4OWARxmABC8F0JEAUOsII7%20QAdTa4AmkKQAaIC29LiepYM58IdNo7UmaEsFoFoqWAJrHQJLaF9vUAcyIIPcq7WFC1skSgDqualN%20+TNdQQuTmNk5uAQRCLUuEIE5mAMgmIUuWKQGOIWE3LlUaoAACIAKAAIgCIBR+DeGig4O3jjqg4zc%20HQVhGwUtCIBZEOFEImF/aIAKqIBhahsV+B3ywwYnOKqpWI0L8Z4NIBfncZmMY+H8lIRPet/M1Vy+%20E4ZPEoZOqIAr6GA2ICVhkjs2WIMKWIN4wMBOCIArqAA6ujLY+cn/xE3Zk/CJGJAcNLSAE2gixuMH%20W6MjsAuA3dPKHSgEedDcUTC10fU4iRuFt1SAVsPfP+Y3Nf24VuO+gWCDDVlhPBS7niUoh0MBB3iF%20RZjeRbgFCMhHYdMohwIlJohePJjeJRgCaMgAVzaGW0DXRWCAU5uFK2gCDChfvWvL3y2EOeCHTYOA%20L/iCZuiEwAoCVaaCPtgEhQtlHthfN6ADDIC7EEC5CziBGLIAbDAVROkMj0CBB7gEBl6HdXjgCJ7g%20jQuBBmiANNqpb+jgDw7hBiDh6iOQ8u0H6jtBf1jhFg6AF5bhhVqkGr7hHM6ylkCAqdCIDUAAcVAG%20n8ABh3iAE3CA/33AhgcYi38wYur4jWrMXT/dPny+AmA4BmlAA3ylBx5Ahye24iwOKYKVOxu+YUOS%20uE64YjMuJZKVI5OtVXSqCYhY6BlYUneQAbl1UADwgD9wAwzgAwm4ATMAhmxohzCQAE6QAG5oBggz%20AiNIBhUwA25I6jwohQ8bsVzIhTfIhEyYsR4osWB4gxIzAzMIMiEzMBeoMcPMg+y1ar9ygz8ggo4L%20gj7gAAp0gl7AgGYohX/1gDxwARWzsRLbAVXQBRpYBEhohRVIBGPAgl0APgqkAkQYK0oohXA4Azcg%20BBr7sDeYsTyggFyggGDIAyNwAzfogESAhVRwgkXYBVjQhUi4B/9C0ACljgA+wIAeMII/2AGR6o0H%20cFgECKeQgAzxoEN4eIBTCID8PAUODgBQioZTkOQFrDyS+gaNk4RF6oKuZYN19jeTU4yECOhPSmIl%20zk9+JjmO4wH0DoCCXglbBIAfQQAZsAdowIb+0oFnyklN+ACD0IHVUMJcyThJzk+0YAKJwoBVSAcp%20qAFReAI04KdRIrmEyDhh2pFh1txEnLt1uOIrvrJZNQuebjOaKB4HKAFxkIGheo8EqAZpWAA68IVb%20gAQBaAUJMAMXkIW2/jBOsARgAIbYdoEFMLE/+INkWIAJ22oiIAJOAIZwSAat5gQuv/IFAAY+4AQW%20GXMyZ5FkOPP/ZCAEQvCDUAiFXnCDOmAGAGiFcxXsJViEV0BybqAHAIiFZPDzKP9yTviDOgAAPziC%20Y5AADKgDO8iFYgjsCgwFTiiFBcgEXjgDNTeCcJgwYFgAreaCMJBqrVbzOJgCXRiGfHgBBHAFVdiF%20LcDSP+gFSAiFVlCEHvgDDRCp+4Mgm4CTNTmSGHCBKrDuNMiGLljndfYHHjDvBmCDBfmNnco4SVAC%20JpCEaDjv9Aal5Gjvf3tvNsBdP02D+SZh+y7f/KZUF5DbdRsIaSCAayIAhU2Ra2oBcRCHFhiKdF/R%20Fp1QGRsHF2gHxnYBHfAAeiiFcgAGZIAEUZACAfhxdGgHWeAC/y5ohyBLax91zRvgLHSwgzroAB+o%20g3YIB7i+gR+dzCBNCyJNvW5ECeXCAXewAGU4yXv3kgtoKxsgAXTFgwjwh551BYVTgAzER62E3Z9n%200xBQB0Da35quglNzAzYtAIKSpDOZeqo/E219hFQ23lYAADDVBeq8Vg6ggU1ohkhswjSgBi04k4+z%20Awycgwpogk5TACagAESQ5TvYtOXtBy1wg0IohCrgNAhgyyZQOG/gBy04tQ7AAmVlAhB2RwVwhWnI%20AE94BaocBC2IBxEQqYutBhOwB3sAAI3ZiIZ47oe4AA+YJCBAhUaAgwlepG1QBQBgg1kwB1yJIA1O%20penj1khkg/94roDpO0HkqG/7dnCNw76P9gfiV29tF6ZdmYf+ugCFaFgVaAgcQIF9oAEaYCoY8FUP%20EEAWXTF+l7GAB3hTIPhMKAVg8IN0MAADuPB84AYfiP/45wJ6MAM+4AMfLYVMoARKAAheYviIEcPL%20Tq5YuYBlcuHwIcSIEidSrPjwwYUY/Pz9++dgBb9/If/1+5cAHgIPHVey7AjvwQxxDz60kNZxgzoc%20/cpA4uBzyYB4Ozp08aYAghs6PHho2LEuhAIFIaYyYfJPQwcyHRKgu0Sn0A5JIXgU2LGjU6eWLZey%205eGG1c8lfWCxYgVAQRArVKwgMjNVXsc0gtN0ZCuigAY6VSr/NPFmVFK/Vn04yF0m1dtYEUPpiJAX%20VQGTTlPHatGg4R6Ue0+BrKGjAYKCHWQO1VtiGw+yKiLi+eOYAIADACP9qWvhxImFaitL/tvQUl0M%20HVOBsEDCAsgsJl0EwSKAYJ8MeAmWc1Rr/jz69Pw2MAnhOEQXNhWAAKnApmp6tVWZLGXj3z9HgwlI%20mD//+dcWD/kpqJ5J/7xTjQsOwONcgx25IFJH70CjCTQEePcPRzpcMF5HvS2Y33//CHiBJPxc0ckX%20q6RjAI1S5CNJAYhpUIAIPFzB2IlBrsSGMJ2MY8ItRxxxSy+57CZCJ1cIOWWQKPhDIogAgIQhSSah%20pNJ5Ianj/xwKK21g5T84OPAPHwJQ5tMQvpBBRgEKRHAHIkdIoIAIIuw4VVSYSbIOoRq4McAQQxzj%20hgafxbbDLAloQc06CVgqSQKYSiLWaCEQYJttfdiT1Q5fTdPGHm+EwAQ36CSIAqWWJhDCrBBAEAIb%20AQTwRTMKKJHjOiy00cYhWBwClQQQeJMjHXSsI1oIfWLGHx3MXKPLJp81UQEdBdhqiAbJpAIqB3t0%20UpWJvwUn5ngAYGMCAvD0ow4KCeBkEgrqdJQADg9M5UgSmCSBChvuqSLDJ20c8EkMFHZJJcQssUEO%20iNZwwkOuAVSgKxtLCVnVUg3oGkADbPzDQ28pp9xfriI3sP8UfhErGNJ4D7qgQsMd9VONDNBggwBJ%20HuDgzzweMdBRDP88gMMG/fjTD9QqSz011b39l/JgJ98XYyg1inJMCPHYYZoIaTBxxbZVq7221DkW%20IMsTNdBYQw1FSNKBWQWwvTffe5e4nJYhjVTSSSml5/A/ZZLo3AYqsOkmqKFEksEURLxxxyJOLLJJ%20BIf92cx7Swmm2TR4UEFFKNPUGahZ/gmoFoI8dJIOqEsMEU0HeO84xxwVhCDPqjzwU1LWJy8VVQid%206CqaVAXYUUUV9BVwiC7FBMqn2z1W1ed+PBiShy6WHaXADZ1UQYetOxQgLrnI/M5EusAJpzNL420Q%20IjTQuKD/DAPV6PtPDB4gFTiAIQlgYAEbpBINBMiAAbiYAQ7K9DeZRYwN8PjHOU7wgfiMjGMeCxLI%20eCAyXZXsZFVjGclIBjOrUJBBNYMQAPblHATQwAn1KIG+9OUwjuCgI0u7XwtbkqLACMYkwmDDF0wA%20ibmJIh888NOOyia7HwXxPKZ52ytqIIUa3SANdchbFVtYkpBwxB8AmIfg6Fc4MAlpPBzZwDyocYkW%20LIIKi+jDCR4xhQyIIxRWAJUVIqCAeOiOGSHAwAZ40J6jNAMR5MIGVGylLGE0oAGjIBFz1AGzpfgj%20BNHYASv0spdVeKBPoxNBJUP4QZa0JUejSIMWtJAjETAh/1DmowPesBAJTrgnBM7xE2LikQazMKEU%20V2DDH7ZgjDiYzRtM2UEh6MCEZWnACPY4HRUE8AjTaCB+61IPP1Qgjk/MYBKfKME/LuiCDYSgGTlI%20QhKiQIKCeaMY3WhBA0xAgBj8L4wKIpEOOpLPNjQiBY2Agw0C0MlV/UNXH4NfQ0fWMSaAYymUaMAR%20o9EFHkgCYx3sTcxawhwKXqlB1ajGPByQgJFswAMAYAAA2PiPgOqAHy7Q1wOUxjSn9YMfIznR8Mrz%20NH78J0Er4Ug/2NAAXrgjT0d4AiR4wYOKrtAfPCiiP1nCo3WY4QmioBGN+NCAOuyoAFmN2BhBlKUt%20Dc5Lhv+bkhubMw9J5eEOfehDEGIzp0TcgQrkugMEJDEUN/TAD7tQhjOZAAEJHKMP5IKBNyQpAWc2%20YByXpB9JJBGDpYBDCUt5BCsS1Yc7YOAfpkxDn1LJH7bAji05SsMoYjnLWirAG7fEWwF2oQsIMKEZ%20HBGBawqwDmrsQAPAQMYremEMVsShA2ngwVgS0ywmyMM0dEjGHQQggFYoZkfenJ95kpaAC/yDZ+6Q%20AXr/4YEHeOAdELBEQQtIAl5QIAyH6IY4BmGCEoRjBR5YrwsesDQcELjABj4wghNc4AsAYEIrIC8A%20JvGMZ2ShEUlgBCoUAQ4KUAAcOFCEInSg4ARTwBUeBjH/iCkBDnC4IgbwQIcDMrECHPCAE5zwxzhQ%20HOINu8IDIi6wi0cs5AOXdDwnnYdwftoPNqLgggtoQQn6AY0WeCAG43lAw3gatb6VRy1o6ZjKSJKA%20KM0gHbzgAx/ykY5NdIItVTnXVdPA5Tn74zBpEMYR5FajIgSgKRoQAZ0DzbcJkiRwXCLcl6gUVzgm%20gAL8UIAlJiuCQuBtHa1YBGWW8Atd6MIT03BDBIbAASr0AQ1/SMQ9liEDOdhm1Fv4g2mkMgpDFKIK%20KruP8brQG3AIBgDKfEcykuEVOrgHM31CS1vSsxSzsOSKPPiMN8jWHmtEghV424A8lsI9ZA1BL1YY%20giDI/6aFKmgBb1q4D2ZC0I8GjAEAg5iDFkQAmu/+FD0XOIE4SjAJAsyAHydxKSc+0AYSNAIJe7CH%20EoKhjWFIgxKDGMcC5iHgeawgwCu4OMYzrvGNczzjOngHCuahnA8srAV6SIEQMJECRoAgDCMIQxja%20UYYydLzjRAjDCpIBgp0ngxPtsEYwwlEGVDSCBLYAwQJsbApO6JznsYD5AhawggWoQAUreEDNs67x%20IpcXpcKBGkt6+DAEuKMbJugGATbgHH7gAB71ppI//L1SpHaiY+ZpQDk+gYwKaCENdoiELlzBg21V%20oPBsSEOOzrqSwgMBDaIQgCgef4QbBKAT6FhDBRRPJf8rYcmMbFVjouGqVkZHY5qOoWbeQp3pUAzD%20BJ6IhCfSsQgrcGARkttCJGChjFfgwSdWgP09OuCedUCvCmzoTd150A+2SKILgqE2KwihhVFA7yvF%20jhaU2sxa9Cx7B83e0bMDJW0KMCGZxpCmMPgTD0NKZRii5EAo3nDFWFYhd1o412iYkDHoxXsq9EaP%20lf0DA1iAJkSYO5gAhUidMHCDLcABCwDCHoCANwhe3LHBKbABTiQAvUzISvmUB34gCIagCH5gmWhE%20PzjAAWgC0KBCEuhDEqQAPsxBNBiFRtHHCI5gF3SBCMwC7wTAKPCHKyjBKVQAKuxBIwRCAFyBdgje%20LAT/AO9oQfN1gU9Zitqp3Q1eIQhy3ZEBAEcMj74IVQKUxAVIwyS0QEzEUD/EgANYnYC1oRu+IRzG%20oYCVAj2MAz20oQvMQ5UdSSrwQjn4QC7YARZYgCqoQynwgRncgBmMAxf4gA88QIDJoSROooDxwReI%20ASRAQuRFngCUgRmUQiLygUNQIimWIiVmxEZ0xEekUZeskaKN3ly5h7J4AwY0gSxxhhaggQCkggAk%20glkUwjTcwmTYhh1NwSP8gVkQQS/8AiScwDRMwRYY4w6IADDkQz58AfzIg1V1lK6dQ59kgy4RQQHQ%204iycjwaMhj+YxvQRRmupBRtAy1QkyH80AOIhxrO5/8cOTMMW3IMEBEEQQECc+QMF9BUgdQ4qNQBj%20dBQbeMZn9MqLiAxDQsD/mYfadUQ17AM0LAACfMAK2Ms/rEAMVEEASIJJRAIuVNIpLMU5SMIoNABL%20mIjm6UwMxNAKTMIBqAAPrMM+AEIKJEEjsEAAKBLIiIyQDMbIjIIiTYUSAIENRAEY9KQjBABU4Mco%206MorYZVIBZEWel159INzYMnwKA3JnYAyaEK/EQcAVEPFQaJFUMQ8RKKA5aEZmAE91CU9tEMemsIF%20nAEBTEI5hAMXiOM1VMIhsMMDzOVcjoMLcAEXtKVjVkQ7jIIfPEMvlAECIMA9qGA5AAMGmAEwPCZo%20hv+mRGCERpTHKh6aW8nUiSzaXNXW6XkDG2hBsxTAnQFDEUSAa3TAjgTAAGQaB/QBIWSFbu6ABKCB%20JSgAVkxABmzBBCAAAdjeKjQDdS1fR/WGYOQCLERCItiBCDhGA1RBNI0GU2hAFbySeazSkMDjWPyD%20gdTjOWLGo0wDAdwVXkXDOQCAMixDKPwEB1hBENSZyDTBFziNaPTKZyTPF5xCA9QSbExkfvTDeIzH%20BalXAnjAKQQAO6xDGkDDAZyByPTGRilViUCN05iErJwoiqaoiqZoPyAANEiDOByATUSDEugBCRAc%20IDSCImhUNPToN8zBiq4ooVAD78xBFXSBKygQEar/XBKoASCsglLCBw8a6Tp0wTqoA5YOR5BuaYpu%20JZKNFBmRF0uQ4QF8gAyUKXNUmTqU0Zb1zUo5zVCNWWislok4hzm4AzLoivM4T+6xAxv8SOEFQD0K%202qBdACKkwxqswRUg3gFAwygUnqISqqRSDecdlaG1lSuK3hvNgzrkjgacwhdsTAAsUm2FgGnAhvck%20BRrQXn8iQh54i7Lwg3BBl610AREMAwz0gV8tASRYwu+syqqkQTSIwDrcQyTcg9vYijyUo1m1B/ZV%200uusRLKtBFocRtm8RycUQBXwSFTkCDcwQY7Aw2T4BB4o13LukZtQxhBAgFnQwSV8wRo4hlmkwTq4%20/00BMEETXEFpnCP8+Ib8vB1LwMMFnYQYNkdHoEA/uADvxEO9joA7rMIlYIdQNsA3hBmhnZUOKAM2%20TMIkKENzMIESaIMhMEMetMEkfEMJGY9RnYhgaMHIPFf+lUEKYIIQJIEXZIEaWEMIKEEI9IZVFk9H%20+FsYbaULcKFaddlNOIcH2IMDxIA9xBC+/BBP+dScHVWXoQWcoQxHqEM/KMMB8MIYaEwFdMIoHAIp%205AKPVCUJjcIoTOrakMEPaMIqVMAXFEA8aAAWTMI4dII/4I3b/q1QAc7ntWLotREsJoCnImSgNgFU%201FYXFBdshEABFEIhYMAA4IHtREC9HkUIpEFiUP9D494KEyhDHdmGE7SCJABPe/BAO6gCF1zLIdgr%20bMhDE3TLPzhratEj0Krsyv4DWvDItWKG+WyrvClAjlBXt3zAuPYnKLDCBBDCnOTDHxlAXuENHfRO%20BRgF3giG22hAE9RdFRQXyDroc5THSIjXP4hpgF3CJRDrObgCKezBHEgsyM5CA6SMSJGo/u4v//Yv%20/zrACewDAShDSfSDdkTDP3zDKdTCASjCN5gMP3RBR/mv//aJFhRpGoiFr4RAG2SBFwhBzTaCGhyA%20KrgHSzphLIkAZLjECqiAB4QhBcew/nqpckAohDYIP6kF1wJQ0vCDB4yIzFxAv1zc0lzAuXTMByX/%20AEeIAwwEQNhinpTcwyf4Ane25NqOQkx2wA9UwhlUwA14ji98AgJICbPFZJCkVRmdESsi2ltRpIl6%20xAOggD0AjUkE0Jq6LQKowoNpFW06K/zsBg8cg17Yxi+AwjDYwZxQwzHgAR70QTpMABkcBeC6rTfI%20Q2xB4THUkelwwB1IgBt43z+MgS04QDCQUdWWiKyQL0uIaT91Sb6IRADBwxulLzS4gz/0kP3AXW8I%20JbpIQjTEkstWQSUVXqmuAS0csxCUwUQNrEjwwzxoggmUxIRiyYnwTgYrwaakAQ8CQQ48AwEMwzIc%20wjKk5QG4QwysgytsCgU4nyIEgDDwQNiywB6U/wEQBMBEeUNVrMpqFQYvr5Z/YMgLFW1JdCFJEIfO%20hGHTOAeBJc4/UII5tNlGCAahoBZhJI1pJOoXfIFp2EEL1MALvIAoHEIu1N3oPBdmyMMXhMIrMEEa%20lASFsMMBmACI/FRYGohN37R8bEwlVRIb8Mie/kOocoE7tEDcOUc/XNAkYMNNmPEVBED2BCobmMWO%20VMAaoPFarXFqpsd48EMJwAAAyIAKNgg/vAPSRgysIG0/vJazJogIMEMnREC6csAv7MIukEIGTMAE%20jOsipAP0GoUZB4k3NENslWcETMbp4EEQhABYMMcGBOCUlHWJ+Os3BQnS8ssDjEdPmcQHuMMCrP/d%20P+jLSC3IyuxHv7bsuM0BypaBVAb2LXjBMdMCC5wCE2zDeHwhAMGADHw2l0zJ/IpADm4KS84BKqgB%20LkwDBRBBMLiuCEiDJhCACrucJNCrE5oRNuyBdbPAxrTZNAFrCPEzabMMQDsIDA00hjDHvHSEc7YA%20AoiDDORUR1ACJVzBlUR3n5SNhjaIHdRBojKGWfiCDNSAKNANFrjCLBzeoDxXe8jDMWgCGvhDGnRB%20wBJAC+iLpezLeGAthmc4hgfqyDRAJ+yGjvQD5nktAuiL3HWEDBDAZYeEDLc4BTOGvVL1i5iF+iQq%20ofXDpYJeG5vHhfwDAdQDjH7CB5jEBjwAAOj/wH8luZIvOZMreYEpuQ70QA+YAjdU+TbIAh3kATOY%20Aeaczi6EwRu0gifk6h8twW8+QiEkS5OvOZu3uZsneTmYQQ/kgZZHwCboxSIMQQR8wR/8AUg2tojp%20gAu8uZKzV5LjwAXcj2SDl3mQiAbGnTpgSQLEwAun00pUgzvYw0qEYYWcSFWITOGdjK5V0itFDRME%20QCAwAQVAAg0IjE+ewAP8M0OXhz0cADz0EBBBdnpk8Dqw7SjMggj0gx0sQyU4gD9owSxos3+MggnU%20wwzE5gckwzeQQwCcwS7IwSdkASZEQQrAQQNcHxPQh8cYCD/LYyWFt80AAHmz+EjUS3nNgCbs/4M7%20HAADeEBJmMND80CmDEawwwMb9AMllEMDyMMNYEACREMi/IAMfBVYHQEG2PPh0es6QFcIYEMoLEU0%20lAeJdLVKxF0XhmEn9EPIj7zIlzzJI0b2DAaspIGAUvUMEECFiOkGAMABGO3TuDjO6+8VXIHbpMF+%20XwE3FUDhVWqJ5Djh7rh5cATJXSa/Fc3NqMBHaJ3UR50KRF3FuUAsEMEKcMIbcMIKxEIe/EEelIMY%20IMoAWIKtGO80DMGu1t4EuMEbRIDUzz3d15xn0nky5EHc3wHfB4EEvMEfuEEyVBzVSZ3U1f3hR53E%206YAqswQK0My+GCxJpCHTpK/OXAAMzICZ7P/LnE0FqFdAbzhNA8xCskONJJx6AJCdO7xCAfkkNFRD%203blE0HqEBSAA45gEnfG6P4yCkWawIHTDIbA071ADG4wCOfhHLdAAf7XAKlTlKhzALywDCORAATUC%20I3x7qfIAfcCpP/A01Zw75Kf7uk++xgMQALhDvsFACVgJPzhAjHnAxZlCLLRDLLjAAlDCApzALcDA%20KwDEqyO3IlUi9kmAAYVSEImhlGmFKVmxtHEy9ebADG/ztG1b8UCFiwv2PjHQ8WDePBcu5q3I9BJm%20TJmZiBDxQYQLlxXzZC3IFiMZsBvHNLX4N28BSA8e3j0oisPDzpRTqVa1epWqGTM1ibTj89X/jA+x%20RL6KjMHP379/Dlbw++f2X79/CeAh8KAWb161G/4tEGePwQEC1f5twAESRWLFixk3VrxBXeQNG+DB%20Y8ZsQ7NmClDEK7SjEJ0EnTDIUwBBAoR/WoJYWbKESp9HGhQ0c3wbd27dii9XKUAOhenTCkLII1dA%20dIINMWKgSMBvN+MNKC5UV4c2bQIADgDA1fs9Lw61bg9f+KfurdsSk2LsVSsXfPwQIf4BsR+ADQ8e%20AWY14OEqjC6iqWCVbtx5I4Q11mhCHm+YCCCAf/xB761/cHDHKLQKi49DSbqQpIE55ghgFCUiAYUC%20f6iZBcIKZuknBh4aaCMLQBrJgQVcLJhE/xsmQCAhCXySIOEUJpRwhYkGbLChgSadbJKNKKWMssIE%20/nmnGhcAkCstt+RKwEq1AGjBnUlgcAcatR5wwIFMoopohXHooaQUdMR4BRIppKihj1RIOSSOVl5Q%20SKFXyqEEhHAikoVRVxiwwCQXknLBg3keSMABTaB5gNOVOnWhHVBFDZVUUV0QKw8uVMrpAVlUeCAi%20O1o4AIEYcKiGU05VSACGSXJdCdhghR2WWGHHGYeIXLjwio8b+GgHJx/oyeSBC85Ka622Koxrrrru%20ii8BdfpRRwVlHLBnBgSgm2sF+Dh8F14RROCBifl4EEGDfAvRooFmMAjBm4B1oEaCIZbgAP+PO+go%20wBsF4H0Y4oflFUGLNPipt2FvQrjCH+Qi/hgvf7Lbrrv4sFVrHhU2AECZB/rhCyp48IJPGncAcC+B%20kyGez58AgLAhAP9kbJKHETZRgoJVnpmkNCYqqOAKekM4ZY7v+EmgBQLmUovCjyVh4p8GIMTPHjlU%20YSKtsQMgRz8UGgCiDSRySCELTfZIQAkmWGgEE0xSaASEfkJAUkkgnnxyyimrvDLLLSWssB+44AIA%20hhk+gAGGasC8wBwcOmFDEkm49YeNJgIopxcCapBCFFFYaKcODTAYVKEa0kEDQjY2oCaN3tNYxp1o%20RNddrw3EwaZrkPMqgHnfnfcnZx64iET/Brr+kZlbvpQ5YAXllWfjH+ZF+OdpqNMQoQARmkQB+pAB%200BauL719F4XxrNRhATX52eAdCUX+H4ABFOD/JpOzvGhBC6PoxHzQFo8C5It5BRAcBFxRgB10IB6W%20uMMQ/IADOuxAYwMU4QhJWML/pY8f6phPCDr2wPSlwR9MUMdz8HI1EwLQXf7oR1pENheSeUcvX/pH%20DFowg3fAgADd4ctS6gc9tyRgAZNIk3L+cQEd9gOLWdTiFkUgCRHwox+jGNEs6sUEJnwhCo2wRwlo%20IIMGDI4JPPAHwLowNAOGiS/SOED++LJFP/4xaKDTTxfekRGx5ScaSgBCAFRoRjY4Ag6Y/4hCCpDA%20iBA4DQjSWIU0GICMA+hhDhU4RQP+IQl/jIJEWyRRA0bRDzOK7omM0xKXIMcXCfHlAgBQwT9U4AD/%20/YMSHrASmOLChk5c4QsVuMER0kEoKRShAiKwAwAQsTpRpIMUUAjHFSA0hiuwIQHsIAUs5BW2WVQx%20LurYwHoeQKEEwOeP8exHJ562hqdNTAS6w9cPoMAAKvIFj/+ohiaU8R55HhSh/ZBXBCV4BYd2QqER%20VMvJ+vE+t8SvW3Z5V3vMww/zDHEDclGHC2JwwxLq5X8IVCAD/YG+fGkgfdSYjxLi0YEO0KETEIiA%20EvxRiEIAzKRBFer/5JUGdZhRP+gTH/81hMGDuLhrokEFYshGxp2pFu8fLjhAPRDwCU0QRi0rWEBl%20UCDMf+jAA5OQQRU34A8PvGwycZXrXDcQjXhEYx0b+MYcThGAEChBCfI4AwuQAAMLIAMIp9gAwEzh%20IMCG4BuUuMAMYxBSK6qAoP94QEkrS1fPTqav8NhG3rRxgm5c4gynQME2QiCJAICADSEIgwJOEYgk%20pGCSJDiDEryhCCDMAQRnCIAtcIELEABBEadQBzii8Q3nztW5z43GdBeHpVk+zktVrN9c0tKPj6bl%20Lh4wx0WxFaVjVuALvYCEM4sABHmpgw9FyEcRbnCPSuwjHBC6QgPyM9BrVIwa3yAl9qz/FJh5bJeG%20T00oFjsRgDUAoQJNmNg6/MEPfE2hEnZwywastF2+wGMS+yjMgknMRaUyb54PjSiKK8RDAMzjou/J%206LdA5pa0bGAFyfPeu8RHOjPG0al4kSMTooGvDpBhBxqoFxsMoYEdvHPHUYYXxhwUvpfOK2BShlcP%20tWNVePHlA5NAAAMmMYP2eKAaulTBmt+hggWsoAQWwNUCPACABawZz3hewTsWsIBqOGDNILBFGMIw%20ghGUIRzh4MQIKPCGJNBCCEggQRl0wAlrcEIba0Y0ojnBiTznuRqTIEAM/OznT+e5JdWohpvfMQgQ%20DIISgLGHE/QwiHG84x2LDkOirTEC/0JXQxpIaMTfGnECRg8iHMlQASeCUY0PdGMVigCBCrTh6zVX%20pNOdRnaiONGOQrfPSirAleO6FBdbbiir1uoHVB5njguECS9sQEcDrlABPqwiT6JYXRHWgIIHaiAN%20o9CCCOqQiG60oAnKVNANYCADdkysAeRwj1o8oAkGPI4vNg5TmE6WAElQw0rxSEP5GsC8eITAETdY%20AxqggAVwoRMa7miPziZaYwlJTkLnY2gB1sEG9HbCylbioQ4tui35aVR5Ni5MjrXM4/SxIYZIDbJa%209MMDL2rApknuhBnu5VN/TL3pYacy2P6tASx7I+wmq2rJTPYWfzAABgwgEzbMgwKQXP+gMta6AArU%208YEDSCMB78aBOipT+MLrYLLqsM4/AnGJYIQhBNFQRAAooQQFKMAaJPCCEGjBAkXwAGnncMU54DGG%20S4zhFIA1vOFjsB5rwSMGeF89WdEqM+8+4Bt9vcA+CHAAXJzhGwGI/Tko4AphfMMVrri8K0AQBXzg%20Iwos4AUFFKCIOVwAB0qQxDlWcIA9jEIRMUCaK/B+DsAq4RznOMUoyHGKLiTfFeBm3APIDbnzoEAu%20G4C7DB6wD/6r5TBiQB3+B4tioAG+oN74ABLSQRT25AX4zd+SjOfkRQN8ABvcgRcqwA+ewA96IR2w%20gRlEYB3U50X+oX7kIgYmARvgQS7/3GKGuKWUsOUCqKELgKh3SE580OAIjmADSSERRMhK+iEBAuNm%20wGiHsMiGgsqd+IEJ1eJ8TqwA0oANkImUYGqq+KHoMIoukM7mbozp0u47JiYN/iFKzGiFzhCfEoAH%20QqAZJCACIIABGKAHCoAZwFDLpGaFwAaf/oEJsswO84LLfshkzs0FlGEFTKAEEGA84MEFKApbVIAA%20SsB/aO47qKgwLsA+zAiwICy2RgAUaAAQIC0FSCAcmKAfosF57MM+5sNkEOAAHMBKsOfLcMAtjCQA%204CAJMEENGOGNGiYEeIATzZCBvOEU7MMGTmENWwtsqAFCGsAfYAEUiMyUZoFK6AWp//4BQsogEBog%20GnhmmGSp/rJLQwrDAaDhE8SBBmBg3cTD3RIAfPxHDTuhE8oBF27nGhKBARDgCwJgHSwoycyuHypg%20DojgANKhFURBAPTtCXoB6NYhHkQAhs5ja/4ha8QjLirMHd2RDSJjI8mQDMFphpzsm/7hHDpgB7TA%20D2qgBhRCAIogPppQHR6AANJEQiIHTBIsYmwJerClAuzpCtLg3wrA3prlBijBuypsZrJQxraQxj5G%206XBMx+xQDEnHGs9whcQwDXigGdCgDzahFVKhBdKHDv4wyvCQgf5hD/sQ7cgyqnzIy+Kjj9SiPWJA%20B+RCCDfABd5JZJjwxmQABvgCPf+u6I/mInmAIBB4IBiWQRCephp2QQ5AYReQgBZowQvaAAHaqgtS%20URUDJp78YQEOgCZPcDCnAy+WI28CYG7SyAZiy/IkARgDoBOE8ZL2QxUDIBm7AGwSYERISRUOQBAk%20IRp4IEqwSBLmAzf7IQAUQQ9YwB+6kT5iybrCMS7gzUrUAQDEARqypqDUIQYA4B2SYRwegFQeYAHQ%20oRRugQaOIRBywQ4ewAzKoRRiwQfioA7EIhYywVlE4BAgIRVap3UEoBfKwQNiIRbygCVghTw36wQs%20AAAOo88ewAUyYQGoxSXIcxyoZRzczN18oA6uoAlwQBbqoA5y4QikwAD0RBRagR7/iEWsTuIBeuVX%20VkBGd6JYiiUkPABWlkIFVA4DzOAB7KAO4iAXpGEHj+AJbsEE5iH2ToYtYoxbmNJ7nvIL2ZKBeMB5%20yhDI5IgN+gHq5kMC0MAJXuErX4EJyoktlecafecf9EPq9ONMf6nL2A48RCrj8uJl5uJSsKWH1OIE%20JqF7WhAI8SIBcEBmmEABgAAOkCAF8OEWPkEOdiEM5KEMoM8WWCAMmECMLmEOQkcE/AHCeGaAhkgc%20xOFxJlGArgbK1IIJKIAFSECSkgAO/CpgQmADHmxPdUgtROfmyHAUJKF3RgGVRiENlEAXIqEfuoAa%20BK5Jog5tfIYRGoEEAsE2nSqW/1TtusotcubioxDAHWTAAZThE2ZATXihGpLBBcSzHdohGx6gzrpB%20BtChCTi0Pm8iFughPC9UK/gAGOxgB/xAAFbHAF5AFI7gBjIhJ7ggFs51JZLiArrKBHBURjmlHMyg%20FOCzHMagYinWDMIhE4BhFVbhGPIhH45hHuazDo6AUE40H2rUBVYAKswRADplKhSWZYUlYlvWA1TA%20HkThBQTWD1QgSLXgGPRNJQXgCVYg9tylSY1uxqIU46aULKv0StmgTeVoFEQGYBQgAhChFyQgHULB%20Eh7yTUEmTXtnTa2x6sDuDwPxLb8DquYipNQCj/LyZPRUGiahoGouPu7sZDJDEv8CIQeSoBHUoBvE%20QRA0xhzGYEmAoAkuSYzmAAj6wWyfpl44ZANMwB1w4BvjAwdcgBah4wKGgQCeAQmSIAnAoBEUAWA0%20JgRsAAj2FAY7TiMlN+AgBIG64BDkwBXSYB1GQcCEBqneJgcaoRFswTZFR4hUbR6kEz7W5R/soR7E%20QRoIAAaSon4oQRg4xgl9hxomYRKapBN24B9hagyNKUrEpiftQAOuIB9WR0+kIB++oAmecHwEVW5h%20ABvgbYeepBwuthw6oQmcpBN4AQbSIR0SshUC4ILioUTZ610ASgUmwR7SLmfG5R9WoAVqwD97YRxg%20Kh6O4QXeVxT8gByEMC+WVgv/5yfpnjYqwfDyHAQomWfgBu7EiuNzgPKCpoAVrkEX3AENqmxsIyap%20gnJeVshKmedN2VZO9aKJQgY8DuM6JgqLoGceGk4n44kfTuAELPICVGETigEJNs8LkIAF5kPAqNYV%20NGZWl2RJokFAvAE250OetOMA/GnEBpMBoIEw5mE9ukEN1KANUiBuJs1woqbqzmcWUGkOZiENtCjg%20IHdJhDV0umAd5sAW1CAH5qCVuuC3LoYJJGEUgMARUuC2csAGrvZJBaoalpeWvKTj+GEe7EEZ3k4R%204bZO1EGOWkpe4kEZaODiOAwI1qClmMfnFMSe2ABf8sUOmqAI9KR2BmANvgAt/5EYPoTuH9iJmOCh%20ZxzKDFYBGZDBBG5hFcohAByKFyBhJRViAG5gB+LgHhDBmaUAEtBAhCTESvghBmYABsAEO6IqqApD%20h/hiAWbgRPdEFBABC2ABG/TNRE/0COANL1B4KVW4C5euhdPuhZkghgsAgSYmgtjwhh+oAyZgAv5A%20HDZBjYNYiO+FiJPxF2M4idfuqpayOs9NXM7DA2LAgMADG0YNXh6gBaABAKCBANyhG+RADrIADPSB%20FpIACCggBBrgG8DH8hSAddnYBtahC7rAG5rEjN5lBdxBxCYSPD6gBU5ABiygHtxBD9YgEFiABVAB%20RwLBcI6KXqLBH9IggWwXi/+2WnLF6Gd+Kw1CR3J9BhBw4RK0AIsCoALyQz/YAAieNQqGJBCoMZX/%20bAWYdyKJyZ7vDy+wdxaCrHfWQRY+AQs6VWaC2cJgig2+YA1s4ME6oezWt30JpQZeYEFaqABKVW7/%20AQE0YR7gwTzMY2x4ARHcARIIABKQwXT6Fw0mwZkNoAYEAAoqQQ4OYCVX8nZMBj3gAhoOYIZm+mNs%20yUo8ABtWEkUPoBIqAbnTWbpf4JyASKKflKLjQ2Y8QBEBwAR2KS0uQHNUWsrqGcAHPGLGscJ2SInF%20WyKhTC8t5KlGSmz4y3f6IXSGAQN/xgaYwBUqIABm9Qs4DxOyYK1nwARWoVX/GyEKSKANWGBsoOQd%20P6bqPjJKeGAb/gEbxMFngKB3ZKZ0OkEe9IHzAEETlkEaruBN3ZQNIlyfhuET2sGp+qMBwMEflEBG%20gOC2TLcRVuGTFwezmRcuIkNC3icGIHTdhshZfvKldqAAdMEC6gccRCAXQCZnNoATGOAEhkEZzOWj%20opib0Gd8FOQLNGEKTHIH0It51qAIaOdEReEJDDgVFnAhpEAABCAdluEaLv0eDkEZ0ACsvkOHtusf%20AOAAfiDJ7EAEgtNK+7EA4sHnELAT8IV5UEkLLKgDlMwSRGEhbnu++OALWKDRn0DfXmBz1aIa4Gei%20ufA7sOcCSkAT7GEfLOAE/3JGh5qSwKvd2q09weHFhEPqLGzaBViERHxn+5hAFSahBV7bBk6zAkIA%20AprhC2gBDOD9GCjhFGbBEVCBBPagDdpgD/SgxfnrxVfaqaYEOP3hBA5gECCMGXonBq4AgEOAqSlz%20FbyhE0jpTJE8aJpEDcsdGiRhA0Yh4nggOJlgFlgAEPwGE/o9GFpwa7q8ldOpa1DgAwhAHExgBiYh%20f9rjBm4AzV/qGgiqC/rhXupXefwBBeChCyTyO7gpfeZFQQJAHDLApurgaQrADhB9IU50uiEBEfYA%20EZppIQaADyrgH2DqgewgGkD+XbxjAWAgEn7g0nMBhtRBElR9txnbQ5VKA/8CYA5mXXwLYBhCoQ9O%209EQfEMIqQAwQISH1bQCqBt78QSnpG9n1Ikw8oAUOTgbUCqzoDwc63/M/H/RDX/RHn/RLv/OZA/VR%203/RXn/Vb3/Vff/SZw/MvoK1kOj5QoK1YEN3waAMu4AGQHFiFFYaYABYmoRnMqLBlVR4iwHRN1wHY%20gP34/tVAIBmSwbLfMcZhfOClhAdwkwms4QCUIUoELiulRgFMVwiSoBisWhiOfOCdBOr+YxkmgXTY%20ANWTng0UgQBwoQwA4pItEB5i/PvH71+Cf9UcrADQ758/hP/6+YuoUJ0Ke5omwZjUIgG8BJkyXcEg%20ho+YIukgVSinQ4SPAgn/atq8iTOBOhTwNiyU+E/dhRgXNhjVoOFKk6U1u9yC1CpfPjE3NNipcONF%20DSkvRB0Rgy4BE2kwatQQIMDPFx52NBQoIKJfpwCdctY0iuPCyAW6DBiQUuMIhnh2RJzE8CVGnR1p%20ookQMUiq1CINcpGSQyBdDVEC1OCqJqJtnWn3GKxaJeYCvw3+JvIDsCJhwooK4SHwcDC3bokJNkgT%20B00GDBkAgr5DoGKe8uXMmzt/Dj269HkrqluvPj279u3cu0vH/kBHa4UAHACYvfugOoz9HiAs/g+e%20UA/RuiSYVWVOFWppuvgbJoclknCThisBVKCAN8AgggkYSTTSigejjBLA/xxzBBBAAwF8M8tNknxo%20V4gJgDhLiSNKwoQSrugyAz8XjMLMOf5Ek+AwSGAiBBjLWBMCDyL+CGRNJM4SQIkfRvOBJgD4M4sS%20PChxDj9s7PEJC0BUGAAbOKDgz0ILNTQPREAlhFFQXiIgHDYtzBDRAgAAAEwriCDyxBOQ+HFDKfQQ%204YMv1/0J6AoPrLDAAsotoAKiibrwgAsrEEHECsBMWl01yEAiwBOiILJKIgXwIsBmZtXwhBhNKIcA%20Ii+seoQffLSjCqSQxpIJMOEEWp0LCxD6AAAE+GUAqcDIkss2CPTSCzIlYHFNLAAQkc1TokwrigwE%20OINFLH48cUSdfoSTC/8RvtRBBBcXlMPHDQ8MlUBE/cAm20ERiXRbermN948DMpzQQj0h/bMuDg+g%20QHDBBh+McMIKL8wwT/A8DDE8DU9MccUWX5zwBRrHQNR64yVQ3nn2HjRbDCZg8w42MCCQGzw6hBCC%20P2xUaGEA/1ATBiibeONNGhQqooQCr7hzBAkkNHJCMlWM8o9/PHzIQxc8TE311CNfzUYDWjfwDw9M%20dOGNJJscsM0/GDLhChMhFANKLyQ8uMwI3jBxdd12H2R11lqzQXUYBMzwTQNMUODjHOHUA43XIXTB%20BA8adhkUQ9WEGZFrFbWm00Ef1CODCQccYM9BOMThgxl+jGpWEWJ8gUP/W7l4AHvsss8Ouw44cIxD%207h7kHgMOsHPhAxk3DH+DD+QeEaxfolSjAREEOAFJnQKkc0ssBRCRiwgxlMIN7ODYAT74srBjDjrl%20lEM77A/47rsHAKQDbGC5kBEHMwPEL4A9VhXwzRE1xL8Id3jKDoU4QyAU0YNc2KEOdfDBDhaoQDvk%20YmAXKBO8KEIbeuFmZPzw0gMYUA0AYINl/9gAP2KAgrupcIUsbKELXwjDGI5sIhKxyEE+FjL07AYF%20GzgIACZhARNMwh0lMOE/XOCCoNnHQnO4xBxmFAJYgCIMPTvF2TbxCwY4YotwoAQbtFCFBJxDapKg%202ofOeEZ+qHGNbGyj/xrvU6JZ8EMSXXBFCKIhCE0Uox9z+IY/gsGEYMgBFl/YIirCoIAQKMGNjGyk%20I9X4IX6MgkizGEU0ptaFfWgiHA2IxiXZMAt3TIIcKQoB2s6BoX4sRB2Sc4GYLNcPjCSgNR/4BDZU%20MAMYuEcH/WjLFfIhCikIUwr5uEEAUCCCOhSghbO8miqb2YEOrGENQKjADnaggScAywDpYIYPSHEA%20NBQhH0fIhx4YYAgRvEUE/+hEJ+TxjzSo8y1wSUPWMDQyVk7kIiqAwTb9oIVo/iMf2xSFCfZXCj+I%204i9bOYIt1KnMDLFBnm1BikXfsg4RsLJM/7jgbOZlmw2OrF09/EkNJ/+CgmqwpjUsbalLXwrTmMp0%20pjRMD01vitOc6nSnMOVH5dS4z4mAzDw61A16YtACd5gABjOQwQYuoA4ALGAEnIhFMkCAVRAkIxku%20EIY9PoEIaRjBFra4AAM+QYAQmKEMZyjDPMhhhHdwoh2mMEU7tGENB3BiBXvtK6EKBdjACnZXK9jq%20VqvDCW0Eox3VIIA79GALRoRhG2/QxS9UYQ0zoMIRYQhDMP462NCKVrR8JdRVtYqovYKDAZrYAwJW%20oYhwZGIfNEAABUYwAgpQQBvvSMYgVBm5alTDlZWjSJn8cYGauEAFCXCRbuJQhzX4b5iiyIfN1pEG%20F7AhltztrndjqRv/f/j0Iq0B70GwOc0KdCKa8dAmsHBxCAtUggEBAMKVxsCGArgFLv0YhX7tAJcC%20xOMx/pgQGw683e/aUDcqgJ9fpHAEANDvHi/YZjrEsQVdiAMXAljoX6RQhAAgpQCGyNoVOrG1Biyl%20AZ1g6RVs6lF51aZeHDzIQi4QFHgcJIX9WEBRZQjkGcI0yEQuMpFxSNSr+aMn/0CAOEowCeHkBgAq%20CAYFtuEBReRBy4pQAQ42UAog7sEWTkzG5xTgijGc4RSKGEcPksEMU7hiG+3Yhp3PYec82zl9fI6d%20DjxAiUB7YBvBCIad/2GCZwAiBzYAZL8EoQAFlGKzulUCPfqM6UzD/27PgVYEJTxwDlNwogsXkIEF%20cFELXgRgFTSAhit0++oRbEMd5BgHP1jJSuESd0y0iQEraXMQ96zUp4upQD6k8OHqfmMDj5HSC83L%20wQ1oYAfpZcM1c4E8YKWDBp7wRT8aUI410CUNb3GLCAq8X7ioMw3UkBmCD1zjhcSysduExCegUIlK%20pGKbiHAHKUjhDndM6y9/KUITCrAD/TYga6e4gtaa0IATd6IJIWADE+YFFH8AYB7xymBIX5iQiWxg%20Bb82sslPjvKUvxDJIrNXQhKQQgBAQ4QEYMA/UuiPFcyiE2wYxWO0kIY0IBcINogCILzAiDmQQxef%20EETV2FDgUQTdXv/vRrDWWki1f1QdlKewARwaAYgooIIJyugGNpjABH8wwb5o5wEbVN41t+vt7Tw4%20Bw+iMQoQ4EINKUBFDiwACyXcsTUYypLVXv6Pdwz3lcb1UkV+YhAVAMADPfQHF+KxhtNtRgCQ+MBb%204uGPCqwB7gcOwBXIPe0vPGErUhCALq5x4BRP9DGPsafWgj4KvRV+b/J8TN36EfJqQAMWWJDBHmSA%20hSlMIRHZ9ksNWgGEU7DGD32YVofRoE4N1Lc19zxQBb5fgStIvBM2Bv5BHNJxkNK4hSEvIcnhDv/4%20y9/ILP/xQXDMj4nAYwH/uAAAShoULrBzBxZ0BcgkFWAD+OAgJGD/CzPQDdLgD+3AODxwEBMydbvx%20dlt3dSyUde+GAqBkX6iQBEmQAoxQAr+ACwEwOP3AA/blD24Hf1MTewvXNeAggwGgB28DCFmAC2Gg%20Nk4yMxjCNxSIeIq3a7B0ECNxEC7QAi3wAJOADSjwABuAAgq0BvnQFS/wBK6FFKAnejylU2zQCeKH%20ehrQBMe2Ki9gDFwwCim2cL23bm0YAGmgBW2oNbvXAFL3GAUQU7mBHg/QAWRwAacQDztABmTgA0Ww%20TTWQD+GHAsJwDE+Qhn4ADPMEBHOQe2LofeAXfuLnTjd0LzHmcevHQu03ciU3f6moiqtoL/U3Mj0U%20XrvBGjHwABjS/wD+kAaSkAb9IHRsYAMiSAtC0AaaYAEn0HPjYHFpZzY2o3VW54ZuyIwr1IFaV2Az%20Q3T4kAIkCAjdsAv2dQbxlAb2tXB8E38zSHeX9A8NAAK1oAdCAAhtcApdoARoxwYIaANA0ACHpxCJ%20t3jFRSbqMRsOYAEHgADdQAArkBuANgcqIQYIwAuJsBg7EA9XME1BYpF28QVrcAVd8HkFMAtrcAN8%20EAg4gBRLoRSzoA4pmZKzIH7i1wSiB5NrUAEmqQ4JsA7rUADrECIjsQFEkX8bcE3T5AhrIAnroAE+%20wAAm8AHD8ANxIJNBtw7REALNgAGmUAfTFg9AsAYW5RbxcJNf+f+VXgkPkHNDoqh+IlWKQHGKrMiW%20bZmKrlg3/oAC61GTC4ECC+EBtShRu5iLaaAEbAAE+JAEwUgCBAAAafAAB0YOpjQR+NSMM/iMd8g1%20HJg3WvcPs2CNqBAFKRAFSYAEmxAC9nUK/BB09pWJFAh/5tg16PgNg4AMObCZ+DAKppQigHmP+KiP%20C2GEjPePNJRCD0AA4iBCMFACweYACDA86RII6JALPuCcsRAOKlEdo0Wd1ckHfLArskIE4UA8N4AD%20fTIpIAAMyQBaC5AM44me4lkGwMAH0RkOwAACuxIL80kEo/UAjbICLjAPCxAHcbASRVAEC0AEpMMJ%20wMAN4BAHZJD/EtlQDe0wD+zZDA/gA3HgC7Fwndo5K/OpobEgK/PAMTVlljOGlitkiu/nlieKoiYH%20l+lhfiUkcrD4a3nZLgRYgP3BJDnQCCmQAntwAhTABN9QX5eAdo3zfTK4dQhmmRkIQxlYNQoxCLXQ%20CCSgB3sgCCHgCPZFDo9hIblnNamJpE8TDbhICTmwB0aDBG0wCF1TRulYeENIEbrZj7wWEb8GDxFh%20DzOAACXwNzf3AJkAAHnADuzADOMjC1yQDFwwKOMgMPfJqI3qqI8KqY9aCpNaCg8gC5fKDhqaCxNU%20qXVVV5RqBpP6AHV1BqVaqo1aV6OqJ5UKqfNwn7vTOxJaB+CA/w4YgAE6AA6bmgtcwA4xwA7bcD6b%20agfsYAaUAAJ8wkC5cJ1csKs+oKvPmguyYArS6gIfOmWxgUFnCXJqaaIp6q3f6kIruhvAhUEmFaMP%20kAA8N1E1OhFzwAJvkwKrYA+qEAINUAGBAAS0yQNFKndHCm9K+kJKWjU8wA+DkIM5kANtUAwKQHSX%20oAVaOge32KWk96UvSIGKIA1SSgJRwALh0DTgoHUaIoS5yY9HaFwl1EPgBQAt4ALigA0O8GuzQAla%20gItpkFE1ygZS8nZeCm+9F3R7eG4TwQNT5w8sNoZ8E3S793Y1FXdTw7S74Q8pWSbTJgkh8JJMwA/q%20FhfxtA5X8P8FtCcCFZAhInBNGiACX9AE8zRP9LROIhB0S0aWEhGiGrStItet4Iq3eduKQpVDSmZD%20NlFCKOsPsNMFIfAPFFIkAaAFThMC8sAEE0dxIXAKRGcDMNM49gUz6TGwA9tCGSJRXZMigpd2CTAK%20MBlp9nUJl5BRdcg0aFeOX3pJbldfNmAD/PENl/B9AYADXtN26cg1RRinSBg5F/EP84AD/yAN71BC%20rMQOXMC2adAA1ERNDbAO1/RI13u92ESR0zQLBbBA8WBPV4AC5/AhOYmTVduSV1CU60RPbrFf61C1%20kNsEjQS1B9EEGtkJVWMUQZc108QE0aBfXFAF0xQIAVAAV3n/Ds1wv+nlie40hkpxv18AimWJrR8l%20onXrfqiotxuct+KaHj7xeDsGigITApKgdYlbSRIxNWjHc5TgDSEwu5VrSi2Yr4a7G5vbpCzkuTSo%20OC98R13ABnPwfZGGrxYiAuugBYr7D67Ls3TXONGwATHMBuqAIRVwCYY3pBR4dcBrsmQCi1Hbfu4R%20uCXEDrJQbjQRAOm1Bg2QBkgBd0hhr9OUX0jhtjT6s7SXBjzgwPlLbuoWYM+bx+4kfvmEHs31D2vQ%20BCfWpG6bBrPQBFqJAB/gC9dgAnlwA4ygB2YwYuvQDFcAk22KYII8kxVQfgFZwTJGt87ESpmzAh8A%20HwlwAVMY/1MKRsu1bMu3jMu5rMu7zMu9jMsTTDIenBs/EbcVgQLOpQMuMF7pkRCwqGM1FbUY9K2s%20gRCwKBspBBTeqmM1kRuwmDkm1YqOJ1yUI6de0lwT4X/+8A7KoBsPEAMbYBG+LM/zTM/1vMsxpQwy%20gAAtcAAOcAUnMAMqEDn/EAPtsssylhvol60XXGM11bKawDKwyH8cTNEdzLdJZi/sgREnhJAH0ZPw%20/LS6AXNPVUMp5Fwh3ZbgfHM9pMEclaI6gRHzcALVoB7ADLXiPDm8WRHuktAEIAPS4FjFYRDvXNFF%20rUIPAA15Ogks4wLQcLzs4UL/OGUct9CpfDXqAIvA+QnsbP8UMVAN8KAxYS3WY03WZW3WZ43Waa3W%20a83Wbe3Wb00UYM0xdynM42pjMfABI+QCCcAx1VATPhVLbwSLB7EANA1sP4G9ia3YjvRrOGBSf30v%20zbXYkz3ZCzERwPcASYUNOIZ/gP1dkPMlOe2Ph60OCVENFkAA+zAJTRURF7AALqADYc0xb03btW3b%20t43bYY0A2GAC+yAOJ4AAADAD/1cUF+ABsNzWBc0l15p+DH01KUvQJ/A3LgAwieIA3oHd2a3d283d%203Z0d+dkou+LOdZ0bLboBD9ANBzDRB+EBsRTS7bIQKyAD7uAANLQa++itvunROIYQc4q3IJwbKwAD%207nAANH3/Y0qG0+SMhJVzvAkgHNAAA9gwA+xdHrtCHdjh3Rmu4RvuHfaADcrAACdwAvtgAj/NKB6g%20K/rZHbnTTPlyyqM4oiJdU1J4AgdAAAK9AQKjArnN4z3u4z/+4wUxFLCjGuRNMrOBAi4wCQfAzgIT%20QozyqHkZAy7wDvbgDpyjAjFAKLCtApHq5V8O5l8uKB4A1rstnPCARB6wAHkZ5m3u5l6el4KyAhcg%203/VQDwwQyziQ5ZEK2pKj4I0Hi3fZD/YgDgxwABbAzin02rG9MUQB5I8O6ZEeywuQO/s5XPPQE7xT%203GwNDw8A1hb04to6UvKyzSYgDizDSvzQ0UbN6vFXJj51/0MX3XIjY94PANQzgAMR4QDvkCiFMp2I%208g73qQMIMAn1QAAOgAPijQPlWZ3N7uykhSgofgKaQAMlQCiCsgAP0OvPzu3d/toPUCgq4ALVgA00%20UOAxsOaIIlp9Ps46PS8b1UMAYA8LAA3YgJB4mVytru81xqIwJG9+OLcfVze9YRD/gCiiE7UC3Yf7%20zvD0J+v2l3GyhAOOBQ0JoQ4LEANAdS9C1UwrQACtdgFwuwGlDYYlT1MerUYIAANmd9m0wSUmD/Mv%20NdgIgQPSoM82Vn4Kxu6iLaf3x1L9pxoRcZd8+s7xDG0Nj6IxJR+zpEYoW6ciDWSvEerObS9D33+5%20oRrq4f8CYzlkSO/1dyNesC5e6kDelcMe/ocAOb5j7e3SOF+TC9ACMAAfHo3N3oqK1QADNCADSdgP%20rDTzJ8rSg+1cHQTLQQVTCe7uOEZDIsfeGQcwvrZPR//1bLnwFqxDI/9CXkK87zL1Vp2WdqvBky/6%20K/fwK0cytNgusQ61HYTVrb4BACAD6l3wCtH2k8/F7v6KBv8B7oFj7qzSow/8KgTNAU+KJMqtoR/8%20ya9kpR+up4+uGIEv9/JMv4+3qoQRG7AACHDM8lKTyn/7o137hB1lsN0l62NCF+HeMa/+68/+7e/+%20LgVsFUH8MX43JYr8yo//4cX8LWTfABHjQYJ+//7582f/0CDCfv348VMYUeJEihUtXozIL6FFfgQx%20fgQZUiTHfwn+vavmAkDBhBALVmRAg0AMgxce6ICXIIG6DRt0/gQaVOhQokWNHkWaVOlSpk1jJNgQ%20EcAKiBD/FUwAD4GHkQYhJtywQl1XsmXNnkWb1izCkgAcALA6ciM/gR4PbkSYN69avhRf/usY19/f%20voXPQjSJUiVLwFcrJlCxj4C9GE8BvFvgwsUKzvM8fwYdWvRo0qVNn0adWvVq1qxd4MCRYKMDqo0d%20Z91K9uu/sGMN/wYeXLhFtgncwiU7t+5LtnebD+dr96BDfx0JQ8eeseTJlCsPNr6usJ+KFppaXOAH%20T8WK/5s6PLyHH1/+fPr17d/Hn1//fv79/XvQ4QF4LvhrqqoMwkorrrrarbfsHoQwwouKOy4ukZQb%20iDm8JFSrOsIa2ugqkzgMDjHuFvvOJYsWIACbBQyqbIMQSaSxxugcQ9BA2xLMjcHvHLQxSCHPovAt%20C0PC0K7nhtQtAatCHKwhJtUyUTHvWsJxooRcMGieg27KqSOdHiKzTDPPRDNNNddks00334QzTjkn%206kdHq3hccKQGxZqyTz8pKhK5rpLUsKIl/YyrH9mylPLPw7azkjEVK0LhLt7+8eApRzcd0iR1BjOI%20tgNvU5A4jRb9ZwUAuFLHyQcuIM6hh0A8SJ1Pp5OVn/9+ZpQoV12xLGlEXXPddUJiHTJIJ68aIrNY%20jmTzR9mE/LF1WmZn5VUiZUXsyCuPQMRLr7aMrEjRZA3aAIB9lI2Bnwf00iuwg5xU6KeG+tkgUV0r%20kjfaO3Xa9bnqlJR1I0U3UtYhu8ytTqOFImp0YSeZlfigh8Jd6OKSXlJ0322jZe7e56JyYIEFrgSP%20I2lO+AdWf3S4IF9sp632u8GaDU+hm2dFNlivFhI523oJ8tfmmqNsVuh6b63ONqieDGzaI3Xel9oR%20gyWoIaIbzhlifyr9x04ESyoVI6j8WeAETUxIFp4HOIVbuK4BTcg4cg0dm58FJiHgBB0AEyhuwWn0%20zaT/kk+WNEuJ+AEAhgMAaPmfGDaYe3DLDYv2u7Bru5PsHimyymEExNHERYQecEAH1VdfHUAcKsPB%20vUxjeK+y93R4PYbYAWS9ddxhl/112HS/Pffde/fd+OB1F7544HlHHgcAL7jAPeltn9153d1DXnXa%20M71AehweiCF83K+X3oMHcLgAnkCn7jUheKQ5YAZx/lYHs/ouUL/599iPQYA84L/mdQ9m/SNe7S6g%20uwe47n/UE4jrYDNB/jUQdrqD3QMsyLzcqa+BE1Td6wK0PtgZT4Ozm6DtTljC3I3QeBikXQPDl7sE%204oAxJVNV4uZWgkmIQwYwWg8JJ5i97J0Pdrfrnuue/zdA5iXwfLHToAHHBz7xERF7v9se9HrHPyaK%20j3zVG2DsQli+ALYHeRVknxgHuEABwuaB1TPjFnVAE4WIjVSfm8iIXoIAAvgQAWNZAAPWwxlCcsYB%201VDBAjhjMkZWoxqMNNkiVVAN2hSSkNV4RyJXYDIVJHIB78DMAjwpSUpakpCH1OQmRWkyUHIykpuc%20ZCVN6ch3rGAekDSZI3FJSllacpKPVOUKPDlJT7pgHqpU5AreZzaTzI8AMpBBpdL1SFxGkpKDFKUm%20F+BIFczDBavkzDumYkrOXFOS6/kmJTEDy8x80wGdTKYqXVCNyyjSnrbc5jsXqchb/hKdxySkCg65%20gP9jRvKW5gxmP7lJ0GAKc6AF3eQm6fkOF2iyoJ0ciEJwiLJJUYSHMphBQTwAAAAMEpm5pCYjeUnO%20FaAyma78ZCg9ychYslSd+LQnSncJy1KSc5vApCkrEbnTfLI0n928JTh/2k12HpOeLH0AQR9WDc6N%20DTd5sohHEAADTchgBQZRyYCoN1bqrcAF6yNr+XSgGZiVb6wC2QxZyTqPD0LQrWt1AczkCtcVyHWs%20ZkWrXPGq17Q+IK5+vYBnyAePyjC2emxdYGEP69cHeJN91ENB+XBgTA9QDx4oAC0b31W3Cj0mWVHp%20xzsmoYkTjCiqiA1fZTu7wNct0AOW3QBj2ZdZF7z/A7bjm8dsMUg9D2jGA/DYQGQ3gIK1Du+tMXAb%20eyoDO+qNzwWz9SwKYjtA5KJgQAMqbmBhU13DYrd92h0fWr1L1vBeloYCYQ88aguPAUHxahvVYUXg%20AQBNHEAaukoAe9gn1sgONrJvNWxfEQvYy5LVwGMdUAznAVtjLraxaoWsWyGYYNgWN6/Tdax1wZfW%204i6gw8c8rnYjSzvcbmC4MagobHVgy3n9g6qjwtNHivUAexCAAQb5FDwscgEUSEch6YHH1BSl3YrE%20DFUZoZ6SE8BkihDZyF6JMp2mDCuKaDcqE0GylKk8keSiIDz+GNDVMpLcZYKOJV++gDJkwKVk0ZFO%20/7mdGrWQmy00YxVieKbIlCkHOhk9psgPMxhP4BetK3tlA+oo1FUUDSidCI0fj2aO5qasZojZ8Dv4%20TZHiItKTE+wDBaj1Cb/om2eoCLnKRQ4PP7IM5uVWJLdfXtyqtTxmbX32zNrltFcy+5hZR0TPhe4V%20CnBgKMYCxiQAmAeOPefnjHAaByoYC3Idcy9uK2piIXrJtv5yM4B1W2vflog/esIrcmfN3GNyls7W%20nW6Fubvb/GgVghISbj3qrN7mvtejdaa5SV8lRB2REWnvFui6FaQgrv5HpTQCr+LocdyBiTeCdgJw%20rFjcOdxm92AYkvFtPcQ5UZKSyDPmEa5dJWgU5//2dPCiMZm7HFxsMbnPjB2lwv3jcBwVdUXGAjCg%20jU3nGroWx+HN7nnvnFkcZzSCHJ6sfgNNTBzHF7J/VhJI73xelON4vi218l8ZW1GQBvi5rGLHHJOE%20NyZBDFv6seyPNCfYIzqUSMITaSQZjE4LUZqWlrUdbQEeSUfumeaIo3BBUSTVTUuP5AqCWpBsK91X%20q07g82iSRg1tV7SyusMeNvixI5rmvcq0zjA28IbxWWMzak7ioRQ0hZDMZEDvmlX+hinNtZ7wEZEN%206PtudIglbSTKurvh6y6Y34un5sdfdKOzCqo9RntH0+6LSS6ggn4s6GoAOIGXJqKVDyyby7B6mzr/%20pGEQM8fFAx9gANgyx35oQE7sUcGBCewBOZqMCVMMQABYgbSm2QAX+IBq+JlFUYEBOoEHuDTJgYgV%20WLbUqQrtUwEdkAZloAkhK4gLqAYc+ADI+Zsv8yaBcICDyIl/wIEFiAEVqL9LabO04Ap++AAEiIoR%20MYkNYAAY+ICDoDuIuIB9KAEbaqZ/UAchUwG28QDf+DIAkIETiIpKsYsPEIfYAbKx2AAHgIFJEL+S%20oCMntIeaKIkvgwYZWL/G+DJl+DEZMIFBq5QLMAEE3IcTpCN18AATUIcSmAEEcDaDYAAG0IESMAEu%20k5x/sAc+RAB7SAAcgAgXkwYEqIYWgIYjg5Tu/8gvkfgymngAaHgbhOiWf5gHaHoROMsXDyAAPtSJ%20sZi8fzgBBDAzalEIHTCBFvijg/uHQNwHDzCJjWiVHZwBF4iK5kABBJiBH/O7W2yBfYiBVnGIqFgB%20e9gABMAGPly2qJiH1gKAD3gHk4A7aQCAasCGFmiXI+NEaZiBHoQIroizB9gA+EMXiFCBE+gHe5AB%2079iNOqmqO6K2sjCJanCHSYCRiAOrE+Cb4xqT6tiAGXAHe2iagVMbBvANyTGJFrAAE+C3g7gAAjiA%20HkS+q3gHcaiHErgOflCGAziATqwxDxCHAygBeMCXYHGAT6hHvlEmV8MGTXjET/gALPyHB5CBSf+Q%20hn3QhBIAm7Bxh3okAE1QAYMQMmXoBrYhABgARnSBhnoIRU1YgLCwFLtpvLN4CWWwAHEoSt7YgE3U%20BAJ4EQSJigeAgW5gmflDlxmgAcg5rZZpARpQhnNBkGowyRO8FAhUARnoBgTQATXDgbuEga96iaio%20hi3EhkKsGwbQBHEwAXf4BAdgx8EoARqwB2mwgBLoCYWAgXqwB3uYBHegu1RZLWLkTLDpBwSgAYAk%20gE9YSt+ABhpgABmggQ+4ALirRBTBksqhiNjAlEmgAaogjBgAAGw4AGjANYN4PwuYhLREF96ohk+A%20gaorwG6YBASsFyGzBwsggK/SxXNxgAP4hML/1Jy5cwcakAE7wzd+YAB30ARoIMRb1M0WuMkZeB2w%20OgALaEwA7b6rqAbuVIbyCMOS4DEaaIEP+IQZWKC6IQAakAZpwE47W4FJAMpugAEdKIh7ZDvsiw4E%206AZNEEOwuAAXaIFPeAD527cPYMm6QRd/eABx6AYErLWS4Id9+ARsoCOP2AAVsIB6gMIvs5p/YIDH%204Q2p4YcTqAcLcAC8k415EAeZWAAUKBxpqAcYKAECIIC8pDvdZABlwMvqXAEC6IaTcYcWqJR+UI96%20IAAPOAEL4EOFOAEaOAEHkM58UVA03UELOEMUiEEiMQinFId5eRqDiAwYyBM+DZtJaAH28wdY/0EB%20aUjKBaAXx9gAEyidt4mLDbjTSWAZwgOLFiCAt1EzD9DNSVhKTzEJFZiET5iEAflLBJjMFmgBcZhE%20hfiAeqi/eviheVGHfbjRhIQBOoKHM/0EvdGEBB0LALAAbACA/0xLqDABtzTNEkjLKrHEUBPOiRgL%20dcOGeqDOfvCN94MBE8jBqHiIOJsELpkyhfCAfXDPiKyJM3WHD4CK0RPMU4w4KYkKD5iBffANXvSA%20tsQGQjQ5S62HGZjRkjCBTygBGcAGAniHZMEBjVyAGbjM2lsATXBYBJgEZcBBaXDLf9gHd6BOf8CG%20wXTSfeANWPEA+tyqyfjQ78BHabuqvkABVf8Vh0UcvX9YAFwdy6soy0nABsqDEROoByeAnOWyCuWU%20gQOohvtEAQeYBGC90ofpCWgQh6hINY+41gNwxdF7ACc9AAfwDY3wSWiCATZElwRYAHeQhgU4AAb4%20C3UwAbQ0x/XbFZoQhxkYRgL4AFxbgXSFARrQBFgzCWWAgVaMyk4cVLTohxigWMJblAvosbxsmTu5%20AAZA2qJsxH2oBxpAAGl5CQAoDwSoGyEjyU9wB2wAGxfjjQeYhATdukDk0BfRiS/jh9GchNlt0xaY%20AWyAAS6FEXyBgUglAJjdmA14B6V0XLoMlr1dAZFtgYKgI4oVzHpAAI4Z2hlwgJukS24FzpT/wUST%20eBsVIID1qw6eMAgcKN4XGZiXcAFo0AS63EWfIwAnmAl7LcuSlIGBCBF4oMj65LKoQI8PmATqfQl1%20eAACaFjrAzKfG00ZQJZUq4YZKIG3hQEE5Ie/2cEHUAZxkIYQ2YB9kMoZkIH7zFhokNNPgJys2IB5%20gAF7cAcnyM6r2cFAmoSQaox9C9GdVQsug4YZOMK6VIfRVMRpQRcPKIEetTNVnM96MAGw8YAO3EGq%20hbiScAE0nYFq5Ub2bQHfFY8T6AYZ1qOEuIAW6AYCoLPIQdkZUJsG7kQs5UF/EIcPWBCEcAAZ2Af0%209NtkKUNp2MIE/TJx2Acn1YQV8E0b/oCS/5wB8tnK0koLc/mHMjSzjACACWUAgsC1GKDSijTCiOQH%20B5iBeuDcf0jBBFCGqPTLfe1JcfiEMGSJZYuBaiAA/pOIB4jiGeC+iMgJ5oSGNnUMkiwBZZiEA/iq%20ZUuACygBlikBe4iZjViBGShJGSYQr0CAFjCBlfwAmtgIe5iBTv6E0zU5FJABZVCGB+2sxkiMbg1O%20PYEVWHEAcVgJNYsB2BxP7cCBEziASfBLGMmtiCUAHBi0ZLmAqd3VfX02k2QAV0MtdbCHD5a6OpvN%20FngbHEkAF6DlHsS1U35CHt0HnxiRrfIAaajHZ45fc2yBht3oqICHEkjmgtwJVvboD4AGDv/daHjw%20AASQAXKu5ZsV4nxsu7T4MgRY5dPqhxNwB2V4iG1JgBjYB2ndmIQAGwPcWnSJiuVUBlcz131jgBJg%20XcAA20JlFW70CtXlxCMbC3X4gBL4MSMEFRxAAGkgD3vQgYiMgRN4EWXISp9ZAPjDBnHgQ6uAh2oA%20wKBegIJQB4gwAUT86tMabBzYBxm4WBWcXLOQEgBAxY1r6X2wwWKZOgYYxMjxCeL0uSSbDvZDAGio%20Bo87wiTkCtHtSQeAV6NLAAc4RJcctQRQai6jO8pRAcgBwIO4QRSopbDBNqt45gdQAXuABmnQPgV9%20Bw9gAHSEEfV5ER043XDjBxt0AGigTvP/xb1B+Y4LON2SCBF1qIZofhus2Jjo/iqyXNKDeCSxkzQU%20UAZ76EIoYYD1MwmwgYjE3kVnoZZAos7HQ9IELRpWBgDYaMAdGSllw0x0uQB1cAGtOAF7UIEb9Mjr%20MoGn9QociHAVxFR8M4ioioE/PGacHeKy4QtY8U2F4DLDirUcHZXIgThX47I4vop9EcONcez4RQwg%20fBi1HpFKAQuF2ORCHEOB/DI3Jb6bpt2efArZeE4u84gd7/LGEDL0uPLN5kc1u8FH05WH4MBocbUY%204EW8qwna7YcLMBgLUcVmIsTefAmuEDKIi7p0Q0hCW7Pt2Gvtc2Jjw7dl+9CNjoihIwg7/3O1LuSy%20blnyWzHvSwwJ2XjmYEvieqmVJPaNSllbRytaEclUyQnpz1KIcYzZm75PwxPnouxN3vAN92GMsaCj%20nqCLXI/fFTeIv8lBiVAHJne0RxsRHRi0B3RmJowBor6KGMejs5DpZGGLjY6ZKr+OH7WK1FyUBXFN%20I8S1D5UmLgMb83sYLisc+anOejHS7VDrqMg3OEPRgISY2vP1dV8QLgdxmqA7rBJnxoMfsqBzkRPU%20XomI+7QKJvwOSBs6wnOIkJFlXJNC6CQ+Vm6+jsg3hQcVCOQ8gvAImvj2jYHyyRsRHGhyFaRrlM+I%20iDz2MRwR+PUIWLl0bzWLDRhBiW/El/8sFimNcsAQ8iEfjEozQonAH/vmxuqOHF7ZFyof+o2nO0bE%20ERpPFo7B2CH3VFZ+zreLeiMUFoMbcjjjDX5/8aLWWRm/HEq5lC5mSnofEerBQd4w184FlVPrdaYE%20wlUc+kaZ9aAjETI/+58JzZe5FN+wM59wn0vpnKxZFHP9i7H03YakPFD2FCaZ+Xn+e3y5moLIKJ2L%20ODqy9se3jbmIiCKTJis30ueccyZx9py9PiL+e4uQwpR2gGi7GkFdoCtPPxwUPcmBFeWEV/W5RWPT%20b5fAQc2DEL//e0c3iJM5mbWPX0cFRa84EiGT5XnYRpPQgXlIwe2AS70M9iGpfPQ9e0X/CbcLAIAH%20QIAPVwjfkB72Z79kaUSTiAFRVwEu0fwvWxBZc03v8hOA6PeP3z9///oBWEGQ4MF/CeAh8PBvIsWK%20Fi9izKhxI8eM/Db8w3GCRjcTIPuZeDCRgQyQ1UrYSzBxQwKQCybi+KfOgQx7Lv55cPDhH4p/Gx7E%20cHjhXwwU/vzJnNlxKtWNTx0CcACAYdWuXr9i7HfhnQwanxyohPfBRYIL9krA+1dNhrR/cf9d8IBC%204r95BRnMYIBiQwwEAPr1S+pBYE28flEI5CcQLOWNBGW+q+bicMGBDSuDpuyvn8GJ8HRoojEJRwIc%20LhDA6/du34mJ0mBIzAk0JEi8E0tg//uwtN8Haf1uyp2okuldg+pCQ29I0CBChZ4bPowYfTtofxei%20Iqh3tgW2EpNKyMAm41M/HTO6wVA2A8CFE+KwwZBmT4YDZTDqzaBMCdBAU8IH4uwDwAzYALBPCx9g%2008JSnfETFXeiGZRAVltd2GFVCUxWoQk0wKCCDCWU4I4JLZxAwAzqSCNONyXsU8I7LpQgjgwyIGAC%20fyYQUA82DERoggnAfXCCDCdIU6M92JwAjz/PgeghZZf9k9lmAhlE0GRWgmkRYS3QUIIyLdRowZky%20EHCCPwxMcgA0Ef7zwAwzwGCCNAUioEw3mpzAUgslnGDCDA6YMIkyAGADjT0BShVmV/+RdVbdQhMx%20BhFfknJqkUz+LKmMOzO4o0mKNLgjDjzYEADDJBY4YUIMk/xpgTifdDOJJjKUOskk0MxwQKsECHvA%20f92sZwECz/nDVacdXaWhVs4+CyZIV8UAAwIyiDPDJ+d9YgGgOODpziQkfYDAqwdMQkA39YgzCQwH%20HJDqPqT6Giy7k9RzwAz9IndQs9VyhKWWnHX5GcEdNruCOADAEHG9JXRD71oummvWAh9088knBLhT%20T8WTiGNuuyfMkG+9rmpSsTg0EKCDwguH5Rl1CV2KnaY0c7rBBh6o14I7+xCLDa0WwBBDCcISQJIy%208xBwn6vdkNhunB+bAEM37pTwr3n/7roDTWr2yNwZUTxfFO2G1KId3XRxVUMAsDC0AAMBMnSTNzTz%20lPuJWVmJEzWvNAAo7NVQuvOJOPFOIkOwMNtD9QcGlVZU2xUZrBnCnn15+VdPlfYPAt1IcycBLopT%20T8vKXBC1uKqpYM8k+zR+QD2pyutOxdiIasEkM2gCQ47vzrBPv+9QNKHnlN5sHUOZauf5dktRF8MH%20JlzgqjLQzOuiDPw8cDo0LUwCwAP2EAjNCaz22e6gjkO5j78fvAVsCQgEK81wE0ElfUEZrs1/0GkM%20ReYBjXeoYFQQItXiAJAAe7TKUDNYgQP2YYITqO8+0ihBq0qQNXEMCE80UsYJWkCA/xIAIHCwgYpz%20BJi5LVFoZgKkCmIo8oASeAAak3iQ3QiAjfn8Q34tqNs+UKACQrVAQDBgUgs0MYMTQBAG2FgRgkwA%20DROwyh4fcJEDemOhyzHvIDi7DvQ2NUPQJCUBbbkAPy6AAKA84AIuwAFIEvCOBdBRJTEgDDwe8JGb%20XEAFOFjBP1aggg3kRAV4GUwhb/KAFdxlA5Lp3OXUNq0zgiYB/OhfnfyhgweoZAP0wcE8YtOXauBF%20kf4g5AZ+ggMPbKAfLliBJBcQx7aUMgE6ICQOHPAPFTygNOqoowsdkiXNcYlzmIQW/xDTJQ98xwPP%208UAMFuCCGHwnAS7wCykd8gB17P9RHTiIIw7eEQMcqGMBOoAHP+4oM3Vo0gXBXIBE+vHF5dlMjM6r%20SFuk4cdlAjSgoHleAAVq0INCSyYEUYFmHLDJidwToRIVaDL9McbnFWQDCCjbRDs6UYOIEgAIsJxH%20S0pRo/jDAQ6gYOgoadKXti10/1jppew5EXVEpB/82ClPe+rTnwI1qEIdKlGLatSjIjWpSl2qUf8n%20Sq1IkqlSnSpVq2rVq2KVp53ZQEo1R5NNOiWrYh0rWctqVplIUpPquOhEFnIBf0YUpnJF20798VQA%20zDWvnuvfc6pRjQegkiJs0ythrSRTmpJxSoUxY2EbK6kEABAAeHUsZcNkU4JkZh7/DiDNTc1W2c+C%20BUuUY+tAoAIR3YA2tRdSKQBkqtrXgkYF73iAA0LHLNjiViNYoghipzMdFEijlKAbLnGLa9zjIje5%20yl0uc5vr3OdCN7rP3cBgRFkNBMRAutrdLne7693vgne46vhODBLggNkGFqL/Cy972+ve97qXUrzd%20Zw3x8gEALECl+t0vf/vr3/8COMACHjCBC2zgAyM4wQVWgUpVIA0AMIDBCp4whSts4QtjOMP6ZSiD%20V/DgedjDrypQAQAYquETozjFKl4xgzMjWxPMI2cQjcEKRIqAG+M4xzreMY977OMfAznIQh4ykYts%205CMLWaTSQEA1GGpjJEM5ylKe/zKVq2xlHItUpA6YR2Gu7OUvgznMYh6yRWQKld7kNs0dqYmFBqvm%20N6u3IFWCM53rbGcPydSld85t5ySz5z9zpFlqlIxZC23oQyP6qKURdKIb7ehHm1UdX3ImpCtt6UtT%201SKcBfSdO+daToM61Hb+9EEQY+pTozrVql41q1vt6lfDOtaynjWtaw1rmmhSjQKxNa977etfAzvY%20wj41pir00GEjO9nKXjazZa0RQT9H1NKeNrWrnVed6prU1qbspge27cqqEbIU0fa3yy09Z6nR3HVO%20SltlbFt1b3syD1Frab4UbXiHhrpuxjduo+1FcV+H39Sud703CRVJC7wyaGYIuf8TXlmfOac33tak%20w6ddIY30YwP3rjhV0EyRuHL8s6Ph30zq7fGQ7/niA4lK6FSO8ql8ZDp6fnlh+/cRnRhlk18COc3V%20fBUWFmSYPO/5molOWX5wNCRGGffQjQ5bl9pbkk7XSG884ILnnHzqc1XjgyvySJkQUOtqjkpU1KGC%20n9w0YWIXLF5OUAJfrp2w6mAA4Qj5nLfAPetxT+1kevOAD7yd5DJEeQMKT4krsAEdPPAHPXiwjtNx%20QQR7lygPeEARNmB+FrNgg9ZMUXnEzIAAKmj65BubeH80gQ0C2YDdkpIGEaQhDUZvwDgK3wA2hKMF%200BCGEvwhggNgQfalN2jlJ8L/hn9gPvn/socy3sgPB7gDASoh6fA/24R+sAEBtFmKCibxAWqkYR2x%20n/0pCs+GVcDKCZPgwTnsgI1IyKL6Ai2+8ZNvDnVgwwl+swDcZQCDnFCf/DmW6vGCO9CAE7SAzCzO%20A8Qe7BmdIoxCA4wBOvRJCJwLE/hDGgDAJ9yDAAIU/R0f5n0D5h2AE2iDNnwCNsjEB9DAT+ybB8qV%20OXSCr3TCnuiAP9jDJ6gA7I0f0Y3CKXwD4vnDKvDLJ5hCDKRBIjjDG8HgGdEf8iUfCrABNtRDDEiC%20seSENHQDAwRcExJW9rUJGyTFUagADahA7PVgz5lf4p1AqjiBO/BANKRBNThD/zZ44QyBIBSyATmY%20g4xIwjmUiRhpwmE03B16VCeUQuKUQ2vIhAPQwDbEnvgZ3TeMwub9wyuoXz0goAeIwAdMQvwZovQ8%20YfIlHzQ4gRMcQAkoEg5AEAqwWyjmFRt0woj8SQnITN1sQPi9ntElnzCwQSbswyu0gAyYAA+IwCcc%20giHAoufkoQhingqUEDZwgm8MDektI0LJYicow468EQocwOTEQxeEn9EZBBuATuXxADfwQBqUQCQ4%20gORdI9qMIike3z+gI17sAwwEVgDGY0clXxP4w/FlywnMQwbyIDkG5OL5Azo+BZEAQAEoYz/STDOS%204kTcI+Dh1XhJ5Et1AuZ1QrE/dMIDAIAJAEA0/IMuCp/ToeNKokA2AADsMcNGLsw8VqQ9Fh8CII8x%20bZxMIlTqYR7y4YBm9MbrpaHRrWTlSd3rxQM88mSnUGTyWWTxRYVuMFZTClQnYGVHQhRXiF9REt1R%20qkPl8UMaUAMzMKVVhglNQqVNWp6gURxaSpQ5XkETJMDxPZRDdGVKGuVR8sBDxJ4WnCVceshT/iRb%20opXl3IVgClQ2dkJA2lNpSAIa6qVBBQQAOw==" height="174" width="589" overflow="visible"> </image>
            </svg>
          </div>
        </div>
        <div class="fig"><span class="labelfig">FIGURE 2.&nbsp; </span><span class="textfig">Turning time a) YTO X 1204 tractor 
          and Holmeca land plane. b) YTO X 1204 tractor and the 52-disc heavy 
          harrow. c) YTO X 1204 tractor and the medium 40-disc harrow.</span></div>
        <p>It
          was appreciated that the magnitudes of this time ranged during the 
          observations from 15 to 23 s for the aggregate formed by the tractor and
          YTO and the land plane (<span class="tooltip"><a href="#f2">Figure 2a</a></span>), from 9 to 21 s when it forms together with the 52-disc harrow (<span class="tooltip"><a href="#f2">Figure 2b</a></span>) and from 18.31 to 39.2 s with the 40-disc harrow (<span class="tooltip"><a href="#f2">Figure 2c)</a></span>. An average value of 18.6; 14.46 and 24.32 s, respectively, were obtained.</p>
        <p>In
          the case of the set formed by the tractor and the harrow, the result 
          obtained is higher than the admissible values ​​for this farming 
          implement, according <span class="tooltip"><a href="#B2">Companioni (1990)</a><span class="tooltip-content">COMPANIONI, R.: <i>Material para doctorado sobre explotación de la maquinaria agrícola</i> Universida de Ciego de Ávila (UNICA), Ciego de Ávila, 150pp. 1990.</span></span>.
          And for the case where aggregate was formed with the heavy and medium 
          harrow, the results obtained behaved below those established by <span class="tooltip"><a href="#B12">Jróbostov (1977)</a><span class="tooltip-content">JRÓBOSTOV, S. N.: <i>Explotación del parque de tractores y máquinas, Ed.</i> Mir, Moscú, 1977.</span></span>, <span class="tooltip"><a href="#B2">Companioni (1990)</a><span class="tooltip-content">COMPANIONI, R.: <i>Material para doctorado sobre explotación de la maquinaria agrícola</i> Universida de Ciego de Ávila (UNICA), Ciego de Ávila, 150pp. 1990.</span></span> and <span class="tooltip"><a href="#B10">González (1993)</a><span class="tooltip-content">GONZÁLEZ, R. V.: <i>Explotación del Parque de Maquinarias, Ed.</i> Felix Varela, La Habana, 1993.</span></span>,
          since for these field tillage implements with lengths between 300 and 
          600 m, the turning time is around 27 s. Although it is necessary to 
          highlight that in the case of the medium harrow, there were magnitudes 
          greater than 27 s (<span class="tooltip"><a href="#f2">Figure 2c</a></span>).</p>
        <p>The
          reason why these magnitudes were higher than those established when 
          using the land plane is that when leveling the ground was performed, the
          method used was the loop turn, when the appropriate one is the combined
          turn in such a way as to maintain approximately the same width of the 
          demarcated furrow. In the case of the harrows, the result that these 
          magnitudes were below what is established, was conditioned by the 
          movement and turning methods used for this work, which were circular 
          with the discs depending on the work. Although in the case of the medium
          harrow, there were times above what was established in the range, which
          is due to the fact that the kinematic parameters for the proper 
          development of the work of the group are violated, since there is no 
          demarcation of the turning strip at the end of the plot, which makes it 
          difficult to turn the complex.</p>
        <p>Researchers such as <span class="tooltip"><a href="#B23">Ríos and Villarino (2014)</a><span class="tooltip-content">RÍOS, H. A. &amp; VILLARINO, F. L.: "Cálculo de la franja de viraje de los tractores", <i>Ingeniería Agrícola</i>, 4(1): 14-17, 2014.</span></span>,
          reported that the length of the area is one of the most influential 
          aspects, for which it is necessary to minimize the turning areas at the 
          end of the furrows to take advantage of the available space. For this 
          reason, it is important to have a tractor that has a minimum turning 
          radius (<span class="tooltip"><a href="#B16">NC ISO 789-3, 2006</a><span class="tooltip-content">NC ISO 789-3: <i>Máquinas agrícolas y Forestales. Tractores agrícolas. Procedimientos de ensayo</i>. pp. 20, 2006.</span></span>; <span class="tooltip"><a href="#B17">NC ISO 4004, 2006</a><span class="tooltip-content">NC ISO 4004: <i>Máquinas agrícolas y forestales. Tractores agrícolas. Anchos de vía</i>. pp. 20, 2006.</span></span>).</p>
      </article>
      <article class="section"><a id="id0x5490780"><!-- named anchor --></a>
        <h4>Aggregates working width</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <p> <span class="tooltip"><a href="#f3">Figure 3</a></span> shows that the working width values of the three sets studied ranged from 2.63 to 2.91 m for the land plane (<span class="tooltip"><a href="#f3">Figure 3a</a></span>), from 5.2 to 5.45 m for the heavy harrow (<span class="tooltip"><a href="#f3">Figure 3b</a></span>) and from 3.3 to 3.63 m for the medium harrow (<span class="tooltip"><a href="#f3">Figure 3c</a></span>). Obtaining average values of 2.77; 5.3 and 3.49m, respectively.</p>
        <div id="f3" class="fig">
          <div class="zoom">
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gxX4QxwR%20CMI+x7oCefTDBStYQQgCAA7EzmAGsiWtVQEJg8kCwWEUKKiMRQZAnw4QqJzkhwLiGYJbrNj/q1+V%20xQo+WgBmtEKXE0xAK3j41agyqRURiMAH3tFX0t4Csq3osAdOKosKD0OBzTwwJ5e2A1lYWha6/QBs%20A3tCD5S4FPXEAD/K4WbGplSBO4iAaC/LWA4TNZ4FAIcLsNoKeSbghz1D7YxVu9OVsYYC/oDqByrM%20zt1GQM4oAG1eZVGKd2DMoW4uaQju5oJWqLWUitaBX1Fwi1LMWre3QOEw3lPAfFmXp9jVZLnLEi3D%20qYVcOnkJ0EKyg3QUmAEreMcAGEAAD5CSAQ0YhjwusAIi8uQCXZXHMIxJEHx7YHX0HAaDZ7ADBqyD%20GaINQAhcUI4LDMNM9gIKk3aSs/q5W06S/yZLuiAmn4R0BGyYEZxHluaPdvODADBIgAig3E8PDFXQ%20ITgxEDoagsF1FAUDKMAtGGCmdaR0QX5lBjOQyo609hIGDSjmO/oZsbhhpR0iO1dcSlXzoeG0611J%20bRnVRpVz+QNP5voJyUveKqAAoHyCi1rm/GGCYXgAA8PQ+AyGURzCJwAcHmgVO2DgAuPAIPFmC8EK%20vmwCvV5AwOVoAJQBC3hwYCAI6QjzzwQwn4nBuDWsuVmpSHUu1r1NK+cuM+POvEk5EQ8ALJgZk0xV%20lGcVJDXIIvfSvPcPUjnsxUWc5NKoJjTmRU9njd0cQUbHrdfJG2+/Rp7255RysUCLYDQvSv/qPxIz%20xhVraMz8RwBY8KaZZQb8WgsJAJpopn6I42oCULNHhqQZCgTAd/8gD6VQAJOhMVqDM0sTLaRCPNRV%20KkiEGOuiQnxzclShdjW2FVQzfDZDKa+zEy9Xc/PHExQwcsbCEW9zfNrnEacSMAHzK8kRN3JHIwJg%20JmkVJ6QXN1IEb+pHNcbSLCHBMKflNGixFbHXU7OnXXKSfz4TLdSyLWrmE69TcwMUNmkRMHSTa+1C%20HzFROBgTPf0AhZNCNULBDpDWMjh0OX7Cgj3zYg24Jt0HFoFTOj9jLAyTgCIXLbgmLNTFg+VHFCEo%20OL9iLyBRGRzYbnEzLguwAlQVFrIicj//gxVtUzgBAC2JchClxxHlEhReYYFp4xUUYCZmooJCQ4K3%20cndDuH0tUXxl5yfeAyb2IjM00ierMSus0VtF4RazKB+p4ROC1HpGwXYw6BOm8TaZ4UUSAyZLA4xR%20UYTp9lO1lyYDsQMBQH1uhywwwzgEoDEi9DeUMSk7gRA+8R5gtBY70A8JwAD40hHiABQscDXTRD7/%208CYmyD0LEAACIA9CkYnH0hMlM1108oZiwYMiUIe9Y3fBAoA2ww5uJ3dPMyyEA2yfwoOVkxajk3/+%208CvJSIUklxoi4CvR44t5tzSaUT4x9h7IAnZqETDrBhWcuFpa4TftwA4lxzOkMh8twRrt/+AgADAM%20QGAQfUiHRiE2fnOPF4B/buE15tcDaQM/ODR8QBhEfRIAIkABvcMTLDEj7yEOtmJ+aGgoMLiSTsGM%20meSMYDkWCoBY60AADmMzCbYxbWMzHiFIjeQeIMlBwZMjLtknDCBOW5d/ifIgDcCEVRkTBGBLfugp%208uACQRAnFNMPcaEw7xAChBMWKMcRR2MWOxBacSKE0WIqItB8LFCUImBLuEeZUvk6hihz/3A6DTMr%20D+KOoldzQJEAi1g/jDOKOsFAENIAqQF4eEeRIQAOi/geO8APA7kAH+BEVZF2u7Z2XcEkCgAOcraW%20gTM03mIsF4AtIYBH8JMaBBB4QEl8Lv+RQ+oUAAPgAaxzPwC3h2vpETuwDl8ifa1CSQqAbyaQDgPQ%20J+HDDrHziSiQWQkgg1DTUksyJcxJZkaYXWi2JswgCx1mAhfADLzFDv8UAOuwVx7gHh/gAh7HDvKA%20TO3wASFgAqTiATpgAu8wAw0wTi6wA8OwDomnSgHgAVi3Ah7QDhbaWZmTdBBiAiFgQZ4DDrcQBB7A%20DEAKBDJ1ARbVWczQQe/QUgtgArcAA0PnAd1Ymc9kQ2MhAOvQba1QDu/QQfwQBBfQDxjkPIu4mADg%20AQCQACvQkRCiMQCwDlslSMfyAbHyDh/wHgNAP/YFmOrHAAHQACsAAEFAVT0QR8mCVi7/wAL54xMB%20QKYB4B4EwAIBwACahQItlQAXYFU7sEiMI0SH1qLY0QNRBEOA9QFkCKQ5VYHNeYFbMZolEFAZ6gIh%20IALykG9cOkwrgDomwHGDFgBD9A8hwAwfsDMmiqJvugDM0GQfoIj94E8u1AriEALrAEMjGpkY8A7G%20VJiRpBP+VgrGlQ44ogAv+gE+53HfGWAo8AENwAClUAoX8AHrUDJm0g5QJU/nWXDpUEEYIKS9GgKQ%20xhViaWZIqCYiAEL/4AKvlUuVZ1IdBaPxlA57hlUr8J8RIFW55EoYtV+30EulIAseIEqyMAwOBQ5R%20tg7KlA7oZFLJBg46oIiIdQH+UA59/1UCI3sLvLWaDtpfzJBXOtAKTyoLnCVKKBACjyVDWHqZZDEA%20OjsAEQBYkMUA1vaiJcCysnBZJVACw4ACnSqyw7C1K9APCzBRn8QAq+RNh5ZvjYapK7AOshABGNAK%202lakg8VGH1AAKBAXUhpuIAUO4sAPi8VDv/RRDLZiM+ACHpBBOtBgt3ALoOM5zfZA6RBSJxRI3bVe%20gCVDPJgVLdlrWQFQzPAPgLVnv7RnnBVO0AVKEVBLM3CxAZVMseRKJqADbVUCF3cLJUuy8GpSXpVW%20t0CjW7ti63QLLsAOu0RV1fS46fC4RQcErVsCOlBkelVi84Sy1dZXzNC66wAAwVMAHv9AACbAABEQ%20vP8ZZY+1As3bCmZIhDslewr6jGiCAWbFd/EKX9aEWCgQAQLgXuE2A++wAEmVZK2gWXPEAAsgXvnl%20V+WUAAPQCm+bWUQWQbfADlKqXGWlsuDQAOIwALA0bt8EBPLEbOCQKEqEbKK1DiWAAj0wDC/lVhkG%20ubrVuWgCkF6RTA3wD6QlZ35laS8FA0EwbKO1DukABEQVWBFAp371HhGUVUgFvh9gAkSbaFWmWaKl%20WZ80skkFaoRnAnvWJ0rFYauEs//AALN6CykFAzEFA+uwDtUGA94GXLr1pndaABiQYh5wC/aGY9VW%20WRcQArg7mQT7qp3IFW8Rtf+AUhP/drv1lGjm+kmgFgA7MAOtUApJ91XrVA4KMEsqG0+ysEHlwE/+%20BQ7lUMBdegEju8jrAAMpZSPnVQIlZGfc6lCkBQA9UACrHEGM51IUpWOI1VJZ5QHJNDpDxQAXYLzg%20SwFTl1UDUGRBUL45PMgI2oy0V5ZgIQIqq0SwBUyWxlkrIFKJ9l+tkA4BMFqChst6xU7/QLFCCgMu%20PAMM8A6g9FUzkGEpdrUjy3gMG0Hs5F7W9kLr5GB3VnDq51+lQKOU7MJTmmiJ9rqfBGcJwDBkG2Nk%20YcNd8Q4lm2pslQDlG7yehp+v9VLDsADykGgilVLGyr4LYKtR5wK3cC7rxA7WNj9t//WfGAC3rdAA%20M5BUReUPGHBYt+AW7ORSA9hPnlNkUgdCc9bGKEvJJTtY4soM4BATyTQMFzBKLBycmQUDPz1nmGZ+%207uspCFXIXEEAohUE8jRPcDyl/tQKBPBJgEbEQLC/BWACEUBReVtCSgpoIkZZQeBSCzdaLNtcarW9%20pTBT+wVbJhAErHzXpKu2LgBZcdIARXVSe3TZKNZcehucsqC4EZAAxidP76BLrXCox6ayeftaAzhQ%207jvNY1nNcwKvfeVaGbWXLOXFBLBn/LRLEeRV4VZ5GXYBtSJPd5YOUoxpJ2XZ4eQBNmpKz3psuDxn%20+JRoZJwApiQLZgy58bi/gfW6uf/FQ1jloCM7vYCssx4ABMUJEj4zFhbNFSwgpOHmYFNaWa3AyUDw%20WFfmt7/koF11VQVgJm0FAw9G1P2tW76kx70UaM8l4JSlVHHrAvGaWCKwAlubxLiLI/62ypq1SkSb%20qUpVT0EL4cH7AdgiRH71S0vkUHIWsrrUuiiwA63qqmJNY2TNFUGwtTntUDCFTvWMAiU9qyEATung%20TdwmaO0aSH2kt0rHAFKsAywbZXkLWRvXoDpAocp0sZ62wohVTmbTaCKLxsPgDw2QbEdLxH21W5Wt%20qeAUVeAUAhlKKvI9zi7gd/EqecNrbXR0oImToOomJxRAAblapoA2DLiXoQHAn4D/V6ZA4AHlEAA9%20sNLY8g4BgAFmaNUDEAI4cp/y0EIDAAABwAxv0QDtMK+Sq7MEII0h0AADZwIl0w5Eyp/DIJnr8wEC%20p+pBkADjKwANkA5x8scW9GiuIQ+vR4Fe0d5codOkbLMipgAe4ALv+nFrdeszsA7lUEH0SiKEN24L%20tA5BcHEiUA6M1wCCNAz9hgIYcAEM5AIf0G/MewE7EJyXdXGkQgA7Te7gkA5vUQ7xjKKLmWyfwwDz%20cwFAoFvvIA8X1wODJlTr4LV9KgJ7mTnpgHh+N3iUFNb8QuMuyRUEV2CfZE6FGQQKUGBwhDpAsA6f%20B0PMIA950r/EyQAdV0H9oE9a//Qa1+IBKoQ6AO/wu7SdLIABIeAmw/AB6XJZMqmnIKch8oDe4yvp%20N4JNIkAA6aBADWACC8AO0VzG4DAATtID38lCO+ABDTQAVq2Erb3n1HywaqIoIeEC2OIwVMMZV+MR%20fw6XghMth3KKJhk2GLM5edsK2FLxwUIj22N6RrEuXVgv8nKl30KZFW2Z0FQWJsmLERAArCEAj64w%20C0AA5EZ6b6d+VZMsM/MPagkU1eMwnIGTiDF/q9QKCUA3bkEQCbA0BgGAAfASU+I6BTMpdbgkdHOd%20j5NF1CUAFvT6UTMvuacTAeB2FC3jF89ryigVeBMTPRAC7MAracT4xUIjmVjjaf8k0TpBLVgzWDDQ%206WDdGuQGRv3AAlbBP/UiFIeffvVDcudnM2HH/p77vnxOlnOyLe8BEAswAPgHgB/BfxQE/GPIkB9D%20ACz+CVgwccFCEQwXKvi3AMBCfiz8FfzXjmHGiewaQCwooF+/ghI5ChgJAKaAhx1h8lvAr9+Civ8k%20NjQJESaAng2VLmXa1CnDnQNEiBjw1OpVhkF/7nhHEGFQCg8BFB26gGNHkmUhUqjYz5/Pf2f/8VPg%20r+eHdPLmUtDYEIACinNhlmTIl+HQrEGZys3KEiIAhHMj/+s3FuvlkSQHCBggMXPOy1Y5KjDpj8WO%20jXz9LezXg+EOuUMD9F3A92f/Q34iXgJVKqLi2dwXZjMcmRQ35ckA3nKE/M+fYbsJSSodiVIAwcr8%20wjqUfpFg0dBPR4L+1yCB88EE/YkIQjP8+6coCxe0fXZj1oMe4/p9Cn7yvx06CjA6pRZAjLCmHlLM%20n9tKymwp3uKqaKzMXoLvwqimqurC0JJaaCKxbGrHJMUqyum+gvwx6a+F2mnuL4aKYssfrwD0aza+%20RAIQNBpLQuo67hpzsKa5ilQPQRb4WqA0xzxq8D8OG8qMoM06cy7IKBuS6ywTGVKAoA+VGkzLhgY7%20aiLwiFLANcrACxMAlTAYbAeTimrnoZkaUoy4pfopKrC4bOvLLxcpa4qxLMdT/8o89Fhar70Hs7xQ%20nLEUnCunswxzKUakvJptJL7agYmvMN3bE8YI+SzJpwA1yuiihwKDbLuOfBoMMKX+ZKoyKCXtcy6p%20qPJVvE37YU5P2ggL0z7s9rPJyzJFdS5WxxASQC73KGggBANjjFQ75xT7krCKWJsIIYmCelAhMpWy%20DaRhr9SMM8+w9BUkBcTi01rPUKot3w8XCPCs4iYijIIeukTOxZ4+JECABlBggIF/fPMSJwHEydUw%20PStSsZ/rejzrI2gFkC+6kUhs562FRurRV0UbYpRBR9lzL94OSWprOuMWiuyi6YpS8SF+iEYIgIzG%205Gi9w4ySt+WGMiKyIGnRiv+xSOeKUm6Bfg7qhwLo+PHnLZyfylDYspWaTLGHKkS1x2UzW9HqD+dW%20zLB3mPGAAnlcuKCdEJgR4J0QhvGHARRKaCAdD9jkCOgYc2JSrqLcqnipD+Xbb24h94SZpSrrxdrX%20pBAaaaHAriUpMwoQslBFQy2z8erI+FkIgwgKmKEVdoKIYG9mbikBryAKWCeB4JlJIIQCgKCoRrf4%20ysnynGCMCyG+8oVIUYKOfXCoSKOMmaGZ03POZtj78YwjscbG0ySeKGvZICnHtv9+/PPXf3/++/d/%20KbL5SEj+I2ABDWhA6jzobBtKWwN9pQBw6KAEHgBHCSLAjBLcYhgMiEAE0iH/vBIwAByyYIZQTOdA%20tWmtV1Yhz0sqA5UBgo5e8iIPCm3IFJOYQHi3KMUMwHGLCISgBK0oxQpa8Y4ZkFAWpSjFBTxQilag%20JU03pOKVyFO+mkHKYIa6Hs0EQICGlKNVCKpiGSsDFJctIGVfCV8Z0zamBbpRjkvhSDtawbhS3KIV%20uitBAd5xARjkzgUNKAADPoiCjj3HhoqZYnj4sTLiYEpJmZnSP0JHwzmWcRgwmIELwDGDEqCggygo%20RyvWAY50iDIE4GAGODywjlLAoB0+y6QNx1ee89BsdeiLS2VQohsvmQAcw/iHPArggQD04IVOOWAz%20ndnMSJYpYE17ZjWtqT+4/zgHMg+JYy3nWBEYuGAGESgBDEJQvCGKshQFQOUtdncLcBBANVWcUmYQ%20dRm4mEk6JDnSvKz0GW/aUAAeaMUMVgAOGMgCBnorAAxK4YJWBLKH4PgAOFBQAFmAowF6CagDb4nF%20XUJKaH1Blwl6CIAPlMIDfjlQR+M1puZkpi0rdOl7LARDfgSLgTW14cpaUYISXGAGpWAGAwoQShTo%20MR0FuIU7ZVEAF6SDAWLjJhVr+B5G5kQrUPGYDP9pL57C7AIr0FsIGHeLFRCgFbeAgQdcsI6IrmAF%20w1iHJ1uBgg8wgAUtDSuHPppL8z3qZg/pATNgkI6V1GQFLgBAOlrRCiCQRP8EARDBaQKwAxHsQLOb%205WxnPftZ0IZWtKIVRwAEQAEWEMC0CkiAPCgrgNSOVrazpW1tNRuAy57WUDnVUF9RWBEWsDME/CDA%20Ci4wgHSYQATyCIEJAsAADwwjAMMwQRDe8Y4rvcyBz+oIkN7zoeZM6ySPUxWVZghQ30rKUz3A7UIG%20AMYeYIAAICOuPCKynnYQQB4JYG96P3dFwGbRPRzZATMeWwATfAkABJgBCgggAgbA4AOwBQAGyqFa%20AiSgtATgcIc9/GEQh1jEIyYxiW9LAHFMJQCqhS2HxVFiGMdYxjPucAI0vAOJdNO/OAuKC7ALE8TE%20ZikAaJ2hPGfLyLQRK5b/Q85x9iMv8351dDuGj2oidSttgmwiEmmHYWzyE5pclcpY+WujQkqTr1yA%20ARcwwQUkIgIPQHUYM4ABOILQkMvCDyFiu2afrRmXd6TjHSD7wDAuMgA6WdnPiz5gNm+6W52OGWe3%2004suk2Y159RxIVbOSCPL9kWUaPZCz9rBcW3ijwaYjAEag7IlzwtWSYcmvIO51rLgVybJKEXMsRbP%20lEGqHl62gyP9IOgKjMUQBpigAYX2wJ1/8pcAjFRevF5KgSOwAgGUo6FzjkBV7kntGo4N0r2ltqS8%207JxQEQYhI7PUFoVywxAY1x9BMOWRr/IhQGK7YigYRjoi0JVWXxK95b5K/9H8op/GSE2bC4fjfAh+%20lTLrEtha1A8/IGqCoRxNBHVLWTtalZODPBw/O1gqPz7QirfukQDfFvmveIu2jkTmcXYKEkI8XUUK%20vMPHxXQBxTIuPvLoR8niq/kO4NkOEQxjBQUg5ntQsgIdGPofw7gFMxLXAI+5ZSSdkQpxRgITY5kO%20Jqa5UpjEraqsjMlqGfmQ3KbccjdqdyeF4ZVjykQQHgEhwGdOmZcMCw4W/GjsNFsmYMShIOXsmtrF%20vQAFCLCO4V3AwWqH+66ApaEa0mVfrauLx7i2TDkuJAAFQOQOPICCUmBAQn79slvS5I9xDat6R9kB%20LCmW03/bdDvlCEErxP8hANSnYxjgcEHbXvKQzgABJWI7zNGW9EJ7tshFQYchgJLLApMMYxhB+MAF%20QnYlylf+hltNDMc6UhFIhvyq/NC7mSdOkzf90HC5lt3o2sGCABxFbOEvtwgqGITe+akBaAAYAIK3%20uDm4iyMaCZ+6wDTfwoB1ehgBMCp2mIvfgA+EI46emB6asqnqM40LWIcZEIDaW6n32LMBoLp3MKYS%20AIe8KYDZ4CbkYwHlc4jwAw3VeAiTYDlc+wcMcIFSAIIFeKLoKijXGDrxoyImszuzeLtcKQkm+7Xz%200aKKMQkXKIEZ0BykSJGlYAGUMB9JcyExpK8VgAET8IAPCIEPEIEE8AD/zUlCMbk8YQm5j2EKAJAH%20SAmKo4EMPuxDP/xDQAzEPqSMpFsosTErERALsxBEQJyICuEOXPERRpxEPtxAF7ELFkCBdVgHDwgB%20HQiBAKBEPywOxFkBxvmAGdCbVmAGg9izf2AHGkSJ2jGLO4kUBfgaBhAAnAA7PoSJRUSKHWCHJvqH%20CCAhFvCACNCYLykUUWxGZ3xGaIzGSewuhhCHZNMNARA+edigDykay/GKm8KAvXu/06GMIJiY6AqQ%20JXyQoNCslZkSxeOpMXShWBEBDGiABsAs9JsOOIzDlxsA4+iIL5mmBEABB1uNr/OmihCBdFioIPCA%20EkgHwuiaC8mMHmip/5C7IZNzrnT4ADQEI6zyEgbwBzWLuQQYBpgolCKBxRrEmprQinUziXeQBRNA%20Dxeiji5EpX+wqFbogQSIADCKx368IQJghlJgAADgIGZ4h4tikxNiCn8oh3GcQpoIChaYgYYCBxNw%20DeXgDgEwicHIrMngP9+aRwsxF6iwnibkwZZboM9oI4m4AChKrIcQAYVQALzMS73cS77sS7/US6BI%20gE5iALIqgBDYOHa5lr/ky9PyByAIAe8LAGYwgQSAvSRRzMXMTLxkC6AwC9YAgBd7N83cS11cmaLR%20Re3BMwooiodgyS+kjAUQhw9YAeeyQTy5QonMiloDDIqAvevAAGYwHv8GcAEYKABmcIECaA+coADA%20GE3nfE7ojE7pzMwjtBij+oAFwCBmIADmCYKeEAEFMBCFIDJdkkLBUiT4CUEPIIC2iaZh+ADEMBkp%20UQDz27H9IbKCCM+xdJ2hxKlIawnsMC0RWMAP0KOaRJoAGIDWsjEGbVAHfVAIjVAHfTEWaIAeEId0%20YAd5eAdxFAd5EAF2kFAIxYAA6BtZWIEEKJ4TvSx50C8RfVEHBbFUe4eM0S9xhNEGXTF8FAHnkQdE%20k4cGIAAgEIfwtEF2EICWhAgBQE4LSgeJCC9CioAEiwj92i95wAB5KK0rJQDEcQEP0JsV8ICGZIYg%20MI8ASAACuFEcXVP/Nm1TN33TCCWABjhTBRUAyVMeUJKYYWgFExCHHSDREn2xqagacXQ/qmSdifga%20QuEOY/Ij+jAZmFCAAJAvoXSp/TmMnEiAriuT+oTDBVIX59C5AjgiZGOnFfCS5boTaVzVsVCd+4OQ%20iqGRZ8yRdbiFmmQBcQAHfUMzVq1EjziIEcGTi3gJ3XhGu1hN5BiK+7sJizBSJNWcWeJQDLiA9mgI%20nAiAUtCBGfAS9rqOkLuW8IKtUuuHqYiL4mgHoPGIXl1Xdm1XQRRIGsEAD4ABFBgAAzOeJ2KAhYwV%207wAPx5zK8zSYojGBIx0XmGLDAvgAqGCBNcgBLjAARriEJjCFGkgE/wg4gBzoAgcYgRzIAQH4hhEY%20gS5QgSS42ANwA36Agz3gAi7oByIIBwngBX+4BkxAAi5whwVAgDLYAgiogCTIAQ1AgC1ABp6FgC34%202Rz4BndAgkhghB+wA2PQABWogApIA31ghDBgBDu4gy5AgERAhgoIB2M4WgC4h3twg0d4hCSogAPo%20WWTwh2IQBkTAB3TQgBy4Ah/Ygi1AABVgAxVQgUcABDgQhgrQgD7IAQSogBPwA0v4Ajgogiuw2z64%20Bxn4AmF423sIh3gAW2HYgiEYggogginQgHETlkhdjYNaARSYgcATgYtKACDBP4aAAzhwAAdYWyLo%20B3RIAt71AUQQBv8f4AJAqIF7kIB/CNkiGIF/cAMJkIArAAR+kNkk+AdhWNstGAEZaANKSIMyQIAk%208IGNvYIraIM6SAQEaIM2kAFYoFrbDVmq9VlAAASmTYdXmAR+YIAZYIV4wATkTQJeSAJ+cAAuqIEa%20iN+Q9YGx6QcJcAMEqAEukAEIdgAf8AHlSAI3+AcHgAUHmAYfcI4k6Ac32Fh3yGAHAEs3AF9YgIUk%20wAcHAITnjYcr+Ie1TYJpcAAkiOFK2oxyQAl2BMJ1UD204AgKEIHu+wcCDocygNkaiId/8F0fiIcy%20sFu/1YAesN2gRQAN2Fg4kAMKkAA5kAMfkAACtt0NJmAJ8IEvBoT/M37cIvhiOUAECUCAPmjgGujY%20oG3ib3gJH+iyGpDaHKgBMTZeH+DgCe7g5gVkAp5gRJiGeGjeeJjgaeiHGkAARAhj5sXgx4UDRPgH%20LNYAT/4HOYCDEeiHHPjbHEAEUe4EZsgEPSCFB8ACLEiFdfiEL0heWIjjPtAAfZEZgOUl4qCAEZoB%20raiQBSAAiuIIFngHfViCSCAGC7AAPCCGSGCFAzgAVliDeqgHNpiCajCHejAFGriDcsiAanYFecjm%20WYiEBOAGbMAGbuAGApgFfZBneZCEJcgAfCaHJZiHeZgEcsbnDMCAJaABFjCHSAiFMIACPMgGFaCB%20z40EFICCMLAA/0bQhztYglSghwzY52WgBxQjB3KgARpYhmo+gAlwhUkgAE7IAFNYhjVYg3nAgGVw%20hSVYgzu4aRqohmLgBFO45i6YB0iIBTyIA0XohHrQBz1YgynABiZgAnwmAGsAaWvQ6JXOAE6YhEDI%20gdLdjJhJUDSMLJO4xzCRXUymXd4VQ3SoAEWGg/iVgEZuB0oI2REAAOaVgPgFgCRgkJfg3SQYgTaw%20hToAhKD9XtuNX/RFADdA3zYYAaqFhZC9XbCtgPhFAnUwAlWohV4Y1SlIAi6Q6yS4AV4gAi5wgIp1%20YFigBET4YAUm4BrAXvQdAbu2n4cgY3d44iRAB3QQAHeABUDYWP8HUA0iuAYy9ockEGAkKGAJaIck%20QIYbAN/4Dbhs4+GGuEqmMwvGABOfIOBEkIREQOQmrmQjluKsPgdlcIRORgAHEGU4mIs2doBDTu+N%20DWQfKIIiuIZHdgD6/gIZKAI47mMNIGA7roF+8IGXQISd6OOORYBAhglCnmB/OOQaQGJ+KOTmbd5C%20luQamOAFNl5ULgJN5mQsRlxQ9nAWKOUcCIRvwO8ikIAl0AN7YINAmOM9kAP6HoEw9mTS5SLy6WVI%20IYigCIFrUwz6KQ8XiACUjAsBWIIaMIM4sAEbgGZ90IAy6AO/tQNL8IMMMAhhEAZjeATuRQZkSNsF%208NktqIAh8AP/P7ADAP4HQDAGAUgDnp1yakCCIsAETACEHCiDJO5YJECCKSCHM4ACJ7cANACBQRgE%20SAiBWxj0MLAHDbhcZDgADXgEY9jyot2DK6AGFcjY0aWGMkCCRBibJNiCSibuCkAGfCgGUygELN8C%20IuheDVgDNLCAS7ABXLADIgjxRMAHYRiCLTdlDQCMLngEJNiDzwXarX4MgiAAIFwBcXihW+wNNnkJ%20dFiA0Y6H4pUAJHAA3PYHdNhwythdqs1rBW6HRHCDEdZgmZ3gb3Dif9DUcJjgdnAD3hUbIrgBQJiG%20EUYHIoiHeBjwaQj4fqAGnbWHXEiHMzCiI+KFc5iGEXCAqEwA/x/o7UOWAN4F29tGh3ggYH5Y2wpg%20iN3d45DxgRHWXSYjbhrJ6w+e4LzmBVeohS1Q4OF1g/+tAFf4gArwh+fO4WdVFZiAgRLQt5MoCVqi%20gDZWBkkIWgFv97mYBlTeAyc4gk3YhCPggC+IByyOcGxIBBzPcwWQYB9YTQAAXwAI8QRnYhD3ZAV3%20C59obx+oCERA5fVuYh8YgSIYkwpvXoaYYDJGBPdm7b8wBn9gbQmo3SWOhwdHAMV/ZNr1ezFu5AYu%20hjNwAg5YBA4wA0TAhgZmgKnnAUG4fDHW2SYmiEm2l0KVuENln3bgPXNigep5lgBYLCDGCUlYckF/%20cjxwZVYoZf82kAI8wAMpmAQZToIaSANPxock8GSnr94hIITffwV6QD9jIOBRV3wESAO5nmTF92+W%20xfYVuP1LiINdyAQjyAIjwAMnt4EwiIRHQAYIAHNP9t33rQBEmGRPBtorbuCJ6IUzAIhl35IIG1Ih%20CadmePBIEeYD2xJ7vvBYuHTJgqUkCDRoQJDk40EVOXIgkCAhR5c0DipU4Piv3z9+A0SIGPDvn4Cb%20OFt5YKBTgT+dAPiJ2HETn79+/UaMMGmSiwNrutCNkxBOws2PhkDdSPLPqQQHYh0k6efj7LQbSoeF%204Hb2n78k/vy5OXFCgg9jPvolkRCvXzs4YiXUQFCjDDk3y8r/ATpXI6gDWJhYePjwzwGmcPHCXUti%20SJqrJBX6EQbkRnSFuej8nVUK4F8DB/yI9HOz4B+6JNx0de1HxJi73ER0rZjkTwKgGhLiJpG2zTgg%20QHBvvh4gAIiIm0Fj7pgRwYSAdgIU3OR3M6c/OXKKYdNQZkkCEeZ2fDuLCA6HPDwEtRDEpF8fOShn%20EkccKXfWXv8g6MNGGoxUUjvxNIhAOGUAgI8A94xQxFkLYNALLab0Yt00PozwBQEpymMNNk4pZd9Y%20DkiAgGFK8dNPDTlKIBhhNxFGYw39yCHMkPdcZVUN7xDTxBFN5PFCEjkmEkILmzRJhRoSYINAGQIY%20o0A7NLbz/087/pj3jzwJwAXTP6/5I0IQAmz3jwIuRCBLKwFQoB0/c/0TQDsLjPlPD9gQQQseNthw%20CR4wbLABKb6sclFF6dxTATLIVPAIp0ikoYEESSCTRAwUXRKGFDQ2GI4dlviRAEdbVBDPFRIIc8AQ%20HClVxiBzQKHoJbhMQWM4w8ShqAV4bLCGSYkg0AUbaUR3zV/IbCHBFXWM4MA5GqjAhgqJKGIRLpZw%20FKowwYRR0SUxZOPLBrtoA4UFiobhB5fO9gNAODrm4F4Z/AjjzRmFfIEIIjS+FNNMNZH3WjswuXAL%20OAnsSYEAAgDgzwL+CJAdPx/ZQgklSNRwTb9cUFLFL11p9/+RP3sMc8ws/aBDxGo+FCGDDLYkwQ8l%20dWDixhbI4PPCL3wgEY4bzCEzzjHqpIaOBFxckUYiNexwz2VIBF0HJVxIMElZ17gDS26IOMDHL7/Y%204sBNpIVKhxJejOADOv8AwkWmyNyAiA8sFVHEav3Ik/RBDowwDV9JOPMLEMwx9ZE56gDDx0eAXMPL%20Dabw4QUw+/QTD1bbVXdddi+59s8Mt7ggjk4LsAATAA3gpF4fU5SRDwdUCNIEIe/cBMcXmniSwiFW%20bNIJgwj04A0tBpjRSyA5SFAiIh1xhPA0NYykgRtFwAEHIjmIlIMpTqivfidF8MMPIsn0xx8hy8Ak%20RyeCCEL/BRVC0KLAjGhEurkgQj0dodHgBscRBBahDNj4hjCwkQNwqWAKtFjfGXoBBx+MZB5ROEQK%20jrcISbCBDal4wSGOd4jlOch8vVgfB2IwJvNsJ01rog5c4CQnnNxkBbK4RQF2sCfV9cM8g/oJL/rB%20CTQgCw0YyAYWSLGKULDLAuvoB6ZG9YguIMFTObhHbiqgCChcwgZQiEU2ltCHjeiDEWGIAzOooQFZ%205UgcyZCCHx6hAQFcIBOZaEYYkBUMavShX9yIQhMfZY/jhONbjwCEjExyEAlE4hRVUIYPHKQCFcwj%20FhZYFxqWkIMdjCMGnryIDWKRCUitIRK4qJcNUAUKVQEA/0fxyFGBwuEPb8xBFnE4BicSVoOFyYQm%20A3jNazDWg1asQHi11AlMgvKxfywgCTeoAh/CNiPCqIxloHCDeWZDhJjR4hOm6EdSlGKMnanBCzfw%20RxG0iQxD1OIFL/CCOkyACmnogg6gmMALzuAKXiQlOjmKxzuCoDcu1KGhdaCGOxhQi3b4wAE+8EcF%20FFAML3BUHadIxwc+wIB8TEAXv8CBHPiBj35AElOGOEExfCCawc2lH/tQQhUSBwsH8AUZj7vAONBR%20gRFgYgJ0uABHvRCCXKxgFUZQRSuUAAwcSKMqpcOhdbATN3Qu4B0XuAAD2AEmDMxgBQpgQQhcQAAF%20yKEIff9YYzaiwKQmRIEBBADCGTigCU0gTxOCcEIQ1kgAQsyBGIRoBhYCUYP6ZFJVFfWBBDaph2yY%20wQy0WMZIRtKLJrSgSU1YREoVdIbOHqEF9bvJFzrRpCYR4wxUK4yOXlQEOdCoD3qgxSIsy4oDyoEJ%20g3jGGdKRDj18SwWBOEYTktsMQijDHZvMBhU8cTxPRKEVjWjEH+YQwhSkgAccAEEJA/GJPBzhCHkQ%20wpm2igE1JQWHb4pTUBRgnnesYAYhAIp28jvEf4hAduTQSCRiEYdYxOAjiKjAJOZggQVboBWuIMKo%20kuCALxigfQFUgR5c8CsbWCAWuyAFKUDwgFVwuCIfcEP/puIxhSMs2AZO2McgjLAKICijGVAIQyyK%20oQGVOAABF8AFHuLgjTusYhdYEIkIYqAIOzwCAWlAgBvwYQdGWCQYQ4hsCccQyEWF4VG72MY24lAR%20RYEjEiJBgDA4gAco4KEZWdiFPSy0hbgQQY8Q0FQFICCFelkAF72IJDEbNoC53OYmIgBHAULAAgEs%20gB8L2O8/WGCUdiADFKLAQRLyZgxlzOIdDNCCFjzADCVoIwtZcIESSKBqLVRhoElgSqZ6cYoJuOEK%20XEDCBYxQCTBooQNgkAWwo0EGMhQW1AHdRzW4wIV4IAMTpxgDBA6CBINa055nKQIm9jEGFNxCFGLw%20wq9L/yGLUpAbBp8AtRheQI57KE5UOLg0JgRXBNEsowpPEEMtpNGLQnzABGc4BaiB8QkUgGMO0JDF%20rp/ga3GXIhSqQAExwECCDrzAGz7Ib5v+YZ2ZbNXRBC9ABJhBngG0IgIC2EHJ2fEVCQSCDVcwgxW4%20mwJBoGAXfwB2C6q0nzyUgmLPcAIHeGAFKxzCAyJ4iw9Y8GgFUABB/KAAFY4w9BZwIDE14McirDBd%20HjSAHIHQwwU4sN0UUCEZIAABKs7AXU3w4AiLgIM/VNWReMTj1XDgCCs+wYO9t+AMZeCIAhbRgkMQ%20/hCL4Mc3EPGFTaQQeYJYhD1IEa88yJy6mQDxKqiwCf8r7LUFc7guFp5BhZhLlwMCUIp62csmN+mw%20vTqh5uvfF7fX8PAmpGxJGuyge1kd5CCEqGIBcgGJriCjHoTAQxN6cY0a9AEEG4hAohYViwf4QvK7%20gAYsLaCEKWSqDNmgiKLyAI4sgGABV7gCPYIRjAxsgVM+cEd0dH8ACPzLF63AwhpCEAcoREEfTkaA%20P0AAGtDLJ9kBOYBA9RXAlsXSBviCPQzDGaABu1zCGLRQOCTBF1BBHqABJyTBM2TCM8QFPXwAJHSB%20BtzZRxxALCzKgp0CF/jANQSaMb0eo7GACdgXBtDentBQP4hAANxEpXlbNowBM6BAAUBDKRRAr61A%20BIT/AjxUAhSSAa91AAlAQzSoQhaogzMYwgEkwzGcwASogzZAwy1UgiqAQQd0gBYwQDbkAzsUwjFQ%20gRKkITGMmyyAwyqgAijMwieEQLShw96YTBKAgj0xQDooQSiUQDQ0QzNMlRj8AgM0QC3owgWsAAqc%20ARWCQQngiTacAigYAg4AgxcUwxZMwL7lghGgwEmJgircwi0A2y2Q28QBAxm8giooASGMQS54mxpW%20lTvswWm0gcJ1gBf0gg+gB1YJAMe9hD8AAAXsQAigwAfsQFK0AztEQHzAQAT4BGF8XR9k3XYdwRwU%20ACnYgylwwCZs3hFQwTCkwx+UABlUiSYMXQjsgA+Y/wMBBIFwCRcDAEEP7MEOJEDUcV6VWIMk5APv%20xFwKWAEPtMIfPOQtUJ50pcARlEA3XOQtSNdeHYETCAM+YMMUhCQ2jOQ49NYUqEA2EEIL8N0LBAio%20mIHQIY8VOIEcEAD0aAIIhRAPlMAtvEEj7AIVbJcncAArbJIkvMDeDZ0gFAII7MIbvEET8NUhaMIm%20EMB4FFFQ2JDrsR58vZ5XzkntPRPG8Nc4JMEm5UAaXIFMsUQFbAEt4AIUQEETxECM7QIIaMCeKUos%20cIM97IJd2kMULBguxIBIlMEE2EMBjJkFlEImGEEWYAE4RF8spcMUaIBYLFCDpOW2fAo4YRQyQEA8%206P/BOoDDRZQRISDCR9RAPrwSsDCCEUAKFuQCLnAYFLzCGuTAnVVADERDXKKBPuBmtFVAGbyVClwN%20AiDmMwzBnoVBM7gCBECAG/iANEimBRDCHmyEDNbEmdyGCKwAOHzAOqwDowHAMHiAPNxGD2ZMAI7B%20u0FhNLzCNnjAMfxCrz1BIfCBANzADRCBM/SaGGjBL6BiJdwCNMzBHDwBDswANCxoJujCVtzbt6GC%20BtTAPQyOGiyCGBBjMpgAKcADNFRCNPCaGIhCM8yANoyfEbzCHGpBKUQAPCgBJBjCJFzAVHnBE7xD%20UoQPJXhDIaQhMLzAGBjBggLbxJEAPERDNPxQJbz/AjwAgxquQDL0QgZ5Qy+oQ6/hQCGUJVMggiuI%20gZcCQ1UNTm4UAn1qAZTWwwjEhI1onDKywHTExE0swGsoQE6IwwW0AgOIgDjMADjcSBk8wANIQiEM%20XQgdwRnoTiJMAmERQxTMASHsFivoQtAZj3RRATuUAQIQwAtYQQtwKjFcwFspwxcIAl9xVwv8UDeU%20QhNw3kLywAyAGCmEABVM5V41wSCAABaAADOAEEP+ThQUAz5swQcQghBEHRV4AytUjzzMqieA0BGg%20ACn4EQrwwF7NYx68wUWWgjxqQnm9ACpkwxRcgEqWVgscQwDojjxowxxEgXlRgRmIhB5IAw9MpSdY%20/wEHYMAOnB6brNcNZdx77ZBX0iCbxOlNDBEACMA4VMBZpkEa/INoyAoiFIMlMMJnIUNoDkIm7IIn%20cVibZUJiqcAj0MIP/IAlfMFIgFMZuAAs2cAvZAMIDAIWqEIYlJEN4II3cIRY/AuNcIRmjsCnGAZq%20VIBJpAIz0KwNFIA0nMEZ5EImrAuyMMI+6EH1KOeCoUoXqECm5JkiRAEa+EEXAOckOYgGXAEgPFk+%205MIr4MGp4MEwQMABmEAuNMMKAksM9BgCZKdNEOw/DIML3OEFvAYLlMIMMNoCKABNmAcoZIEYPEEW%20fCIyoIMPmEKPqqEXtEFcHIQagJoaVoEhVIAhOP9DFRyWwq3CKkTCKDxCPPDCCTyBKGwCMHhANVxd%20EXzBCyiBsfUCEfxDHeiDLozBxIkBGMxBM4SCw6nCKxBCGkKiI3ABACDCJJwBMDzBEwADA+yAzYxA%20PZzCMWgBCQCDKSQBEdiCGhTCJ0ycKChBFkBCL3jDBLhCIeAADnQAAxSDXCSBD9TDGYCaF7xAD7za%20CCCDLogCCbAuJLgCyRBBEtCCF2gBDpzBMNQDJSxMm/RDENSEm26HeVAAO1zAmKBTA4ADOJjACjBD%20BHiAApBOyyFA1uXkERQCSSxWLyiC+gjBB0zBGknAImxeCHlCHhTALgxCEAiB8mweFZQDAiyBCej/%20h9Y1Kw9EwTaYACRwgNbtFQ9YQxmYDy84QcyBEBVYw/dYw0KynXnFQQEwgDD0goGyaxOYwkYEQjoc%20wdqlQB5EwBs8ZARQK19ZwRH40W8JgtBZwf7IAQXQCAYIwRFsAgcIQgyIQB9ogDHQwimcAdA5QSc8%20yDLocApQXQDIadz4QwOonnu1XsDehJveRAAwgDhsTAOwAwFQhwBMQgXAFpBoAKfoUTwIAydwAix8%20hbdQ38zaSzM8gAZ8RA48QicYwChcQQ0gwxBAQBJ8wJpBASNEAtOUgSTow5otGDGcA43EBXIwxQgA%20ggSETBLcklikATWwxD3EQw7kArvYQAnMQC7k/wIzPEMsECAexIAbnIZo0IISwIMQ5EoOiIazXMES%20cAIc/EumbIFG0EgS4INgAIIGPICYKcoZbcOjlGMtRDMj2IEwiATepteN8NcOdAwLsEAD3AIMwA6Z%209EACXIgapqEY2IIPZAoEnEAu/IIQmNpM8AIvcAMDrEAIMIMLhIAroJMbfEMb/GcH4IAztAEX0MU8%20GQAT3MABvAM1uAEReK40jMEZvIAHSAMvIAcS+IAZ+OcT9MIXyEEbVAA5xIAXpOEFzIJFCQAyiIAa%20OAMf8IEzzEKh1YEzjIH6AukEVAAvUEIRjEIviAH8ekFhowNfuII2AAMJiMInMEBQfYMC0MEYtP8N%20MzADHfBCEYxABdyAGjjCMrjCBNwAJcgAOkGAIRSDMBjCDcQTJ7cJPwQBCwzABZfHPxAADJSAC5DH%20AjQAMzDAABy30S0A7sCVXCUXMYBHP8xuP+xAMRDPHnAESZgCFazkJvAAIZBCI7xBKeTBdHnCEVhX%20Hc8BFfBAOnqXNTQILcjVOhIDLbAAjUyBCSRXExDDOuwWAiCCGTgJozZDMgwDt7GrIGyCVGaDPWRC%20dkUlTh4CByArK+gBKgjdPPLAIhRaD3BAzpUXIcBCifwDBRCAPNDDMphCdrCGD+wBC8jBF8x4EegI%20PXAAkxxBM6wApBXRJ/crVwJswNJeAKRDATD/wz9gwJFTwHawQFnmCJQ3SDGPbfPCwQjwgxtoUhew%20phklw0aISjGPzwjUShI8ZxIUgx+gASNYQiPnSBo8ghCsy2BqRBrIxTczhTg3jkmccw6o84yggtGC%20Qy1YgzXojh+EAb2gwRCgk1B9BCYwwRBsgYMcRDik5SOQTxqowHOOCpD4Axx8gwOMAkfkpfRtAyqs%20gQpowB4IARqggSU480jgbZvkhOxQk3nkBE6kAwowgzQNwDvswAWsmhaIghdwwie+lL7Rgl2YAjk0%20OznUQi9cAJVeQCpYQ7WbgxeIQq+Jwi84wyikwj9NABMwwQFMQDVQAzlYgyFMALt3ghq4wj40//ss%20VIMpJAMJaMHinoG78wE3uMJXg5oSmEADmIM1TMIO1AMf2ILC10MCWAMGqAEfpIIrMIEahPsEJHwl%20RS8wAEM+jMMkiIMh6MILAMPinsIwWAM3LAMBgIIuVIEzXIAu1AI5zIIaTIAh1IMjcMIkrPteY4DN%20T0Au23w9qAELkEeb+INY8fabnskHgIOiKR2dxIQ81F5bhWQZpMIkO0HFBcVs2cz4bJB2a4AadDff%20nUEi5MADoAIHSNfxHME6kAIWPMAykD2ncoAwbEQO0IKxUgExdMIWqMo8LIIBLMIivMMaaQAidMIk%20v4AizIIPFMMxRAF5MXgKaIIsPGQmnMIRVP/rTI5AbWXDH3OqE4wJAHz4IQvCERCCHADAxcEEOrme%20gljUxcmAHMgAHEiJN3DAOgrCNhzDbbiJUvDrVuZQV44yOvHDDgzADLSCAHiA69wEUIhANVxD0WQK%20PnjPIxRzGlyDYRzEAhUGAozRJ8UCPUgAC1SAMHwKNehRDnTGFgzBz+xBAtxAYaQBUywbL4zBGJxA%20GQBEDUwj0FWogAhOQjj4krgpeBBRDhUawlVIkoPGKyhQcH1AoCGHDx+cxsCY8Q6dm37tFEio8SgH%20InwLEiFAIPGKDzhb+AHQgCBJQzcVkCGD0BBBn1xQbFyCsk2SBqk1EnWhYQ7RFmQ5NPzr94//3wAR%20Igb8A8Di3792AWZgUJBWAYYQMFZQMJsAA4ABxwqdOaOuFxF0gmVQKlJEhox74VgIWMCLFz5k6JL0%20o3AOWzhIJj58eJauwTQHXNyNaNOmDqU9AkTwuseLCD9eFXy4g6XsxoIb0pIlUzTmhCGH4QzpguTX%20AwNJbgTAKoLp2zeRgGAlCjcKkD9kW4jychMOyagBH5INU3eq1j0WyhYIADTKVh1YAPjdE8APHS8A%20/gaj6+dDGdiI4AUZi8pAIo1wCEQmCWR4QecKalh4yyx/2FFgALT8SYuff9hBoZQZ0hoRrAW8QqsI%20OYrB5qM+jMEEDnMoEAkRB76TI0U5apBK/wMWvOmlFwaGkUcAibhx4hBNNDkkimxyyIEfYQhpJooo%20iBEigY+kWqKHYswxRxg4+LGJohpqsAmBGvpBBBEW3HADG0nKqOEfRL7g4AgrrFiSGXsk6acYQvJo%20glAh6LknnhokaaYZbVxwIR8eEdhBnteW6MMHB/r5TgIJ3uw0HAkAEE2hERzwwQ0EJECkGCaKEWeK%20Mkxsxx9+vsIggX/8+cosXUUIQoANSRxRAQoFSGcFAd5ZAZx3TsRggGqGOGBaAiShgYYuuhilmm7p%20yUCfcLutJgZczFXEkAHO4YSTbtdYg4Y1xFkmgwM4EWcSBayRhBV96nGknmrcsMYQCLA55/9fbgxh%20tx4mOGFikkm4ISdiTsyh4Q595ol4jS6SiSKWYLKRJBB56SnGlFpcIcIaebgJgAB3aeCEHhESmWcJ%20q/SZJYMMlkmAFS4nEYfiaQ+gh5cpJCnXAhvC8IOaKdbQ4xxqrBqlmJ4v9QosscgCgEMTe2ilhBlE%20eIsFcFAgoNd2REhrBEwcgYVufvhz47DDEpMgnnDa6ScogwTzp9NO++HlnD3c2FC00kZIjBJT0+qH%20nyT88UcwBwDxARBbibihmCQqgMCQyewO54YbhNniimsksEw0BwBAp512uOAiHgkAyS4o0YPSHZBr%20WNgDjrjvkcCHadJyoAhKKPFhV3TATgL/ncuDIsKNaaYJir8CG7oCEAnQ8d4gdMJfAGyz+AmChQx1%205fAfFyIoAIUABBAAbAXaUesfu+SQQxnY+EkNkOcD9PngGwnpVN6KsCOuhCMhI/AB5S6SgxogSU+H%20oEI+JBIPH5iCFmYwQwzMQIEacCVNIpmGDxDyjzOZqQbXCEeaEsGChCDiH/Fwg5nKUCc5LOIIPNBE%20Cg7BijIkIh7fMMAiFrHETvigUwiQRKs4sYxU9EEDfcgBAtxwj370owwIgIMD/LFDAkogVDqUwD9i%205wA3OsCFBESIG79hE/jxCle64hXY/PGrYA1rWAtYgAcK8A4AAOEDBfgAh4CgDxoMgRND/5gEOc4x%20j2qw6wAHmFgm2dAFJHyhim6YwglOkIhzmEIOyyhGMSDgIG5IAgnY2pbLbmA1EYwDl5IMQADCQY0E%20RGwSTHBEAAwxhSm8jAlMsAUTzDEJY5pDGefYQSY5YYw73GESxZAkOW4ASmosIYsVMEQPlIEtapzj%20ABCwijCmlYEeVGMUo8BEMSJpzB5Igg98sEU9FGYIQ5DjGu44AwxewQAM8GIICR2CK0aRrS5UgxsP%204lpYxjIAu6hFAP/YATPoIgC0/EMeb+GHACjAAnFoiAgwrAEXkHA7GBZud4X7xwiKMIIR8IMC4YjH%20FbiACVj4Dhk1kkERoKhDqSShRg5oaf8d2hAPBJxGBiMwCCDiUTnEnMYmaUjDYSxipqo6wKaUsEhQ%20uOAAGJahrMw7DBdeCrjKJSEe0xhBT23kO+yJxFYjcIcbTfWVL2bKB4+LKt/MJAGaJqamZuKaWfoR%20BLJoCH4uKEEJCvA2QBKAbfw4UyIkkYga9G0BLMThTUCiAQfA4TCA0FLh+sGV/0kAAVMYBAoIsY0Z%20kEIPqvpfEtqBDtEW71QvLZ5NkPdGd2TKjVA8kxthQQGXhNENcDgDMY7QhCMIYhlfpFwYEZCGn7gB%20EZdjoQ9UKqriwaFGbEoqmmqAEBaeySZv9MFHniQVBCzgPyw8bVqElZYG5GpXaeGjH/v/G8h/iMAf%20rdBBEDywDhi0ogcH1mgX0mCQrhIQEFnZwha+CAEIqKALXEhIBTzLC82G47Ru3AIEPFcDrSIBCVf4%20B/VAIgHRcacyM0TAW5MA1st9JB79oOlhHJCEn0zjuP8YAgQqcA0VqAC9BvFHOL4xjaQkhUEbeoRW%20JdDKJ3HHIJUB32nxUQGpfIUSXEhzPyyMjm+4sQKT+GKDWmmRKzziEd8NykS9Vha02Kofw1gH/Xbw%20D5L+QwEdOlFjwAIAT82ppSxN0xmJwFNQAcCmA0lLp3ZX1t4lgR9DnoYbiICmJCAXfKeZE1SLUKA0%20XKFyDpDBac6k1chxpwZXWBwXbCrV/9658YU1cGPxUusSAgKuAjdIwj9gYdMiaAodBQHAf/bwxTeO%20RlPT7oc79irroX42UYZNzFBHUIY1ArpDAxCA+4TVISCgYAXpMIuJ0hcA+SWgHTzERiJcIoHQovcf%209OXKaVNLWglcI3dS+V84ztQHVdLDEXJCQDz+t6G/OkAOCZkvww07Apt4EBbyDbkDpgFbFI/xH8b+%20rA8KEQUqCOIIR1gGm5a9oyymyStryq9KF4CQjGtcvw5gLyJEe6afyFfgUuGbP4IuJv6NKI8B7lUf%20gVVgQPKDBQlgh5DYwQ4CLGBD/hBAAL6SPquT6IteuShYSNQORfOqH/4wESDpXne73/8d73nX+975%203vevUJQsvUoLBsBxCxS0ggDFEjB//8GCACy275GX/OQpX3nLX35EvOoQO9oHWbbjXQTpaEUIRiQC%20cdxnPwBQ/epZ33rXr/5ysZf97C/3etvfHveuV4s5HN+AeoigHxnlB9j54fbcHx/5yW89vUkU9T36%20qup1p5WAFXC/tStaBGQX/NlHVLsRHZIZQQCLPD6ggCAwgAD70Tzm2d9+91P+733WFUsAIA/5rSMC%20ZVn8hqbNgkK/HwADUAAHMO/Wj/PYDX7qDmwAYAE2agX+YQEUgAAagAB2YJfEAQMzUAM3kAM70AM/%20EARDUAQxUAQIgAXkgRlcIAF2YBj/VoAZTg9mTGoEZ5AGR9B+WGA/vOK/9Gj/CKzuFG1YeiIBFUD7%20zM7upA4CGeDBeqAHUCACLmAFbuED4o6P3ocArxALJS/+KooBoQ4GdKAEIkAcEC2juIY+RKDQgDAL%2015AN27DuDLDzrFANh4WPBIABWmEd5k0cGkAcLDAAdgAQA1EQB5EQA3GXDhERE3GXCpERG9ERCVEc%20QgoI1qEUhoEFTAAcSqEcsg4DHtETPxEUC9F+BIBX/mEHpW7Aou/uKIc+OqQd1g4Axq7sGA/vFMBE%20dsAEIkAeWEAWwAH9wOEBIRDR3JAYi3ELA29/+OsCTMAEhsFWLqoM4w4NhbEYq9Ea/wMw7uCHHdbN%208+ZwWNBCAGYgAhYpLbLvPtpB27RLHdeRHdvRHd8RHuNRHrVLWARAHFrBA3RFCbVvcubRH/9xHkWK%20RE7x+ajuj+quVuyGRCjg7cSuCGmR7tInfXYgHZhBBDDA8FxABFYABeCnDK8RJLGxaypKwD5SwNIn%20LSJwRFjgbfaD9l4SJmNSJmeSJmvSJm8SJ3NSJ2MvG9lO3RDw8+ruoy7gAhYgGVmgB+YuJNfQ8WAg%20BILvAxDPG5dyWPhPj/yhHACsIH3wDZHQ0EakDGVx++xO9cDSA0rgAgKAAVBAbaLSBT7SRKaSKueS%20745xAKaNa/phBxSAAspSAQAAA/8+QBzmbiwgjy4PEzF1RdHSjRvlkCwXDzKRMi53BSDbkR8uEzMz%20UzMBrTI7U7sMrR/KYQUiwANMIB3AQRcBgALewjNbszPVwh/Sx/l6UBURUlhic966zwJn0Qp/cER2%20wANKgRlCIARMYB0YwANm4AJMEjcT0znxzi4DDOyEcQFHxAR0wC3SYgfEoR/Abie/EzzDUzzHkzxp%20bzH/4Se70e7mjkLwKy0EYAf2RyGfs/0o0gMGIB0uIB3Kjz4zLyj/YTanjisBKTbpY3IAgABWYAYa%20ICX74SF7k+7shlfaQR524AJ6QAHYofHY5ivQ5z/7E0T5jAtdMSWF0UQWIEFvAQP/5i4SWWMsXhRG%20Y1RGZ5RGa9RGbxRHc1RHd5RHe5RGLxN+0tMx7Y5CLuoodwAlXfMz61JJK/MtUHIBMKAfFvCiFKBJ%20r/Qdq5CRtJI2D3Lv2MEDZGGRMooFPipEz/T9ULI5RTTw1tNE0uEWbsEENmQHMAAIEgCz8lRP95RP%20+9RP/xRQA1VQB5VQC9VQD/VPRYAU2W4bgVINh68cP+ACKKAEPQADzAIAss9ELgdNO9X9+K8nAzQV%20vVTvGhAFmIEC/IECGqABdgAN0TAA0DAUZ5VWa9VWbxVXaVUEGuNVBWB/7LLuBBJAwUEWhmF/4DMA%200IcClpVZm9VZnxVao1Vap5Va/6vVWq8VW7NVW6FVfxivUdVzOienfVpBDCkABmDgbN5TBIBQ+drV%20Xd8VXuNVXueV9San+bhUQGtz75JTHjikAQZAHHogYGGmBxTRYA8WYRNWYReWYRvWYR8WYg22YANA%20HAJgQthU/wDpoi4qMPvVLDyK+zxVZAFwQ4S03cCCV4RlB9ihWEVAFiLgUsFiB0wwApVyZG+27/An%20VXmFILs0ZOuOHSjrLf4SZvTHFinAMbZVaZeWaZvWaZlWAIrlfnzV4kayTa8uLZD2+7wiFncAfbAU%20bMNWbMcWS0mEMR11RIZv7hbgHVxAHtoBE1cABylgAiswAHpAHvJWb/eWb/vWb///FnADV3AHl3AL%2013AP93Bv8Gv9oWfzlVTzrm09AAietAH9CjJxFnPr0moztiqFxShJRH/gk1Mzl3Qnz6/ABgga82RR%20FizZ4RZI7/xQIA/BAm8V9X5qB3dzV3d3l3d713d/F3iDV3iHl3iL13h9de1MEV9H9WfrjqSithx3%20IOy4NufI1nqvF3sB8urABljr7nPDJiX5YRrlsnTLVwFrBWxMNgFR8sCCIESGgS7AIR/TQjIzL3vv%20F3/z9x2rlr/ulAcdt3npzkohMFVXcHqntHr1V4EXOGxHBDe7l+4sQy4tkBrN14LvDtBKVnUTsOzm%207n7k4V/PIhn7wf/UtDxPGIX/U1iFZxJ+7OaQlhf6HhfvMoo13lOjDph7GViHd7gy+3FYIJgOHViQ%20nk6jCi2AL9h8SxE9H8sx+2vu+IE1D5JCkJICViIZkbh8O0TbBg+GDfJnKWABFNI9TST4EK0ddqBD%20VheLS9dyAY9zzXZEhlgBRreGKWSN1zgH3+dbhzRCv9LQ7NjxkveOSfcrCqxxmTfvCkw1UdICqxM3%20VxiSI1mSdfKLHnhz7e4rjnJE+hJmBtmTv68f9liN6U5Y8IIaWYN9Pxln8SuMhUUeunhAg/Ayr3ju%20yu4++sGyVDmJLzmCv4JMXcADWCCMDe3/JtmYjxmZbZJEpk2UE5AsExQGLuBI/+XTbpLZmq95hRmP%20Z2FZX70XAzLKHyTVFt+zB6qz+HQFm9NZnW3S9RQSiElEWN5CHDKRHeYOKXFqM/NZn/eZn/vZn/8Z%20oANaoAeaoDMTHQUslDf4Q5fZ0MThAyJARN7Ta8EiIQvaoi8aozNaoy8abIAQK7lZhuFCwIYhAkzg%20HxigBJjhil21KnU5RPtrdDH27vL4HVBgGL5CBNgBCESACXvap38aqINaqIeaqIvaqI8aqZNaqZd6%20qO+nkP/BsdBW+laSGfJx+AigHCoQEJmaq7vaq78arMP6pxNgLFDykGM4ZBEYOHWA9D7gFpihWABA%20AUxPWduhPRhQkPJar/ear//72q//GrADW7AHm7AL27D92hYXAGn1p43lbz3hIgjw8RbLAQP8rwYv%20G7MzW7M3m7M7WwMb46kPUD0R0kQEYAVgoBwgUADkYQDkgWIp1rNjW7Znm7Y5uzH666y9eBXrrxUu%20AKQ4yrchEAi8ThwwKwHkgQASQLmXm7mb27mfG7qjW7qnm7qr27qvG7ujmwCKO2/7UKYRUsAwQH4+%20gN5Yw0Nduny/l5kVmnyHcQBkoRRiFtFEIJXRu1O514H9FxXR2nvt2RfFwQMuoABMGi0IYBc9yqN2%20wKPKlMEb3MEfHMIjXMInnMIr3MIvHMMzPMJtlyUVFb/d+DHFxgXS4fEIeKL/7duCu9MfBgBDRvvu%20FmAYLBUdsW5dFRPFO/Xv7vV/EbmP1SIAgmAYjBMFQsBjHZI3j/jGD/OdCTSP0xiXIyzJSVdY0pe9%208xII59MrcGolkzLKO1U+BxKkjxjrJrABgKDEGVAAeuDIu/xMlzwtDjqO/2hDeFrw2Fxkpxw9q1zz%201A83IVVX0sfxrBQd15nQC12Zfzgrd5y/37AUoRie6YMI19zO+9PNHRjttJiYiXjS0RTP1Zft+gvO%20kxGMIXOuOyTtNj0xF/DUczuWL91AGQ8A7DoZs0/SUT0xK91+UxYCxe5tlNjW+7PTq9wbvwIINgQD%20PKBfVY+nNzXuDN3Zn332/6bOv8I874CUQyhH0Xap1n+dLis9XOVuiCvE/7id0xfP0009CFlgBlBg%20AdJGKtUVyckdJF9Y0XUb72rlck3d8bZd3kOy0gPs1Icl+wyz3xEz2KUand9THG4hAtAzAsAByhvP%20flTTKI3X4i8e4zNe4zceePFnjv2K1bvZP33YLFJVLWxFLI2w4JcS1xUTp2bWjk3PK1eeLg/exZtz%20AUQAfhHNBAogDxWABTCAHeShuLe7to8e6ZO+titQBMJVVBc9gtUQbBzPV2X2QeOd5gnQ2yUSCJih%20AE5vQxwv653T5pv42kdkGFAAAILgApgBHMiYUvaSL6eW7uve7u8e7/Ne7//3nu/73u//HvAD/36a%20Xin9Qb+3UuTxDgVgoIYVO5edeewJsMAup7FJ0u4QDKTmwiLhYgcEOfJBkl3Xvsrr7h1MoAFMIgLY%20gVfgs74/3w3TmIvrvdXxTh4KoBQSDwK3sy/RJwLx+rB/H/iDX/iHn/j3ejXPu9L70oYJAAWCWwQS%20oBzEIfsilvqr3/qvH/uzHxE98GIrpJkX+vtWEFjEwR/+po8CwC6qGdrX39krRFie3t73rh/SAQag%20XASAIAgSQBzw1MABgoDAgQQLGjyIMKHChQwbOnwIcWECefII7GDxr98/fgNEiBjwL6TIkABCUvjX%20wwW4HiF3yGvQY0ePmTT/a9q8iTOnzp08e/r8CTRo0ABEixLdIUAjv3/sBAzA6C/k0pFU/ylYINJf%20P38iemDVWDWs2LFky5o9izat2rVoS7bzF/UfhgT/tJKsKyKIgLho+V1AgaEfgAUEMIgQcFgEUo+M%20Gzt+DDmy5MmUK1u+jDlz5R07RCgoqbTjx7H8+in4x6AEuAAmFfMDwC+27Nm0a9u+jTu37t28e/v+%20/RuucOELStb9F4TF0+Mbx56mAOBqu4xcvbK9jj279u3cxUYFHXJuXbAluerle5aCvBDy/GFVIIIq%20+u7069u/XxVsRv2hPYIUG98/AgRgQjoJLKARYvgtyGCDDlYFQD9NLRfX/1RhnWYcVnXxI0IAJ2k1%20XIgijkhiiSaeiGKKKq7IYoshhqTfPw3QZdc/5eW1F1viKPUPCzuUtJQ/07lIZJFGHomkke1M9doC%200/U3WlhxfdZjO6eFJII4+/XDZZdefglmmGKOSWaZZp6JZppqpkliRhthNYBTUEllFgDiDCPASQL+%20+GCffv45lkb8zTjeXeblmNYCAkwnkoIjzQdopJLSBxaU/4nVjgBYUpWlm5N+Cip+/gDgz2v/xEkh%20nWWJsEIE7MQlwA5Y8ZNkrbbeiiuSFPTDaEiE1njjeWtpqKGPQNY1ZK7KLsuskaXBWKOlYpmm0VtW%208VqSjxkBx2233n4Lbv+4u00bl0bsfDRnc2Np1Q4Kt7DzTzsLBJCAZwLci2+++u7Lb7/+/gtwwAIP%20THDBBgvAwgIK0OorjeThJSy5z4pEZVL/yFQenWtuzHHHHn8MspfUzSetWCVp+g8BVAnAEqShvgyz%20WqPSeW6q6kKr33QAANHKOzYqIE8QM1YUUdFGH4100kozJE9nxsnosKE4umxVSKVq2k6v8e4ZpKox%20fw02VSVXpTDZQnLIWqnirs12226/zdxSNadrIXVg6flPOeC8sxQ/OxDAQjsUKKxA4YYfjnjiii/O%20eOOOPw555JJPLrkAAOwq0q8PH0q1VBYO9o+Glrt2nGBhnx4zl25y5J//WZ5dPFKsqM9O+0glTUi3%20SF2KdBIAAIgwjDyf+cOCCJ3XjvyDXcsVtY0QI2pySRiIRMCOuu/Qd0ZPJ899d+htFdXYVcUFmjwn%20cblDAIL5zn777r8Pf/zyz09//fbfj3/++sdvu4Ryxr0l1VnNeaEjCQCMZSNSNWuBDGxgikhSqvA0%20L1jQowqjFMAAcDCgHwRoRToCgBEf7SAq4dte906Ine/pbiOiuRRVAKCpBK0ABSIoTT88gsIc+glY%20/UBV7rQCppPQynex20GyQobEJCpxiR8rCXiYVyjncU4spgpAq1YggGHcIgR6UlQPIkSqy71mf2Qs%20oxnPiMYyLmkrWSsX/wtbJxasaCoBEbjFlVAiDn4oIGt87KMf/wjIQApykIQspCEPichEKjKQ0CGJ%20/2y2FAFuxVQRohPKWGAdHWrSe56qCxAm+LzOyUseLihlAD4AAxQ0ICMsmAgLEIOYi2hmlrSspS1v%20iUvHvFIxhwEP66IUFifWxQQzMB4MgRAEcWBgacxspjOfCU3AXSlCuAPgSPrRJPWEBGhW40oAvlIX%20B4pznA7UCF/8UQ5QTlFKIZEHOGaIgR28owAf+AcFFAAEdhAgANUjQEUSANCACnSgBC2oQQ+K0IQq%20dKEMbahDDyqQiSSgBxgRn+0q6Q8FsKMVOwhJO/xJARGwYKQkLalJT/+K0pSqdKUsbalLXwrTmMoU%20pYeRyiNzd83BUAAFLhCQB3rWKBE40YSbLGpbQvcaLmlOahETy+BCIIsQDGMdBVBlSBYwL40Y53hG%207WpYLCoS4yylHUFYAVZDMlKuenWtZCHfqf5XoePMSiMmKEABziWLVrAkJLF6GhP/CtjA/lVnI1mq%20FKdGFqxg4AMNeMcFTMCAAMFQfQRUK1u9Cta7EJAfBMgallhQt8uKtixu9SEAS6KhwTAjHevwgABQ%20AA4TjEoBBGiARQLQA6Podre87a1vfwvc4Ap3uMQtrnF124N7WUg8wAqlyQioWAXkCCwd0uoAR4td%20GL0RmF8llUhM9Q//j1Qyu+SVz11MG9eoXIkfAvAADNZhAgyCAwV7Icwnc5u+4+p3v/ztr3//axQC%20iNRChqUg1TRkowTZjq+U3Wp5R5tZGJnTSVwKn0faEaMHZ7e0cPXaZ4zDjgisYxgr8EABQiASFgQg%20KaVJo4tfDOMYn9FyCIZaFA1cpzsap0sDsi5zNLzWCLvnaZUUFGcwDOTychiSYQUAowTAgHcMwAUf%20MEGABCSCDCf5sv0osHO9wygihm7Hk/WxZbeMvAjbyFrXrAtniIrmtS45dwgGi5BKVZyragUxQFIg%20Of8M6FsNMC7M3Rxiv5q1DNlUdyo2c5yNquaMtBGbx/GbUB892jmf/1a7oaP0sRAcK6z47m2kLrWp%20S+08sHh5nVUJ83foBDoBNfi6mNZhhDU0s9VtpDOhrbVRNR1XkRDLUxjJ2lQwWWNfn3A6FupHOm/8%205bSkwwMIOk2sYlQ3bNoFfI9SS1KlUq7Y6KduaquRfMgzFW3rbmJb4bTYJsawbsKIVnDRHZy3BRaG%20TWVUWhbbdl14oZIEAF5LAUBnBNBrtMDFzumemHcqlW7vNqfCAhyLmHVdl/Gym6vAimTF2x1OmdUo%20gvgmDVxK8hQmk6skZVXgnua6kR13bpL80U+p8i1zb69723yBDXbUrbuFV/wspapQjEbFpEfFxix6%20+iS0WX2WAaCgAP8XIEmsSJjxBEvFu14ajt3mbXNaKUWsQep6iLoubt2Zcyq+A3o4S1NuOwt9JOA1%20VbRKFaHXnFNMMd/61kqe7gyrGUG+WkcrBnC+kQYd4mFnV1xGRT62exxM0IqNViI5sSUJx0wJhBGp%20GIVNpUxS7BKmPMnbHvOnhS/ebt9KtR4vcZ/baPJhGiA7lIPTYNpIHjPw4FT4bG+xhq/2o7cLvbPS%20YuEHkPKj/3bMS7jVcpl7+mK30BjNKXvBbJ7ulapR3dO9+bN3CYhg0nhUVn1otISAGTCgtlWqRwEr%20YXVRArjKAu4ZfycJ7l72x//8659/iiJdGVV/96cA91Qc+1eAFHD/L05COAeIVfdHAXqUJ/JSfwKQ%20gAxYf5dzL4NzT4ZDAYODVTBUgYSDgU6mgVfxgR54gCHogiFIgvlXOCeIf/ckL4ZTHJH0b2NxVv9w%20Aa0ADiGAFfOCAXligCLIfwF4gQV4hITjJBp4OS/oghCogdDRggc4GPUHgQaYJ1IYggqDgRYoXcVR%20g59RhUfohRMoXfF3TxgoXSWIVV+IVW/Yf4bDhP5XOE94L1HohXlie7hnTV8VOkAAAy6AAhjWDsqE%20FCO1hvu3MGmIgPfHfwq4R1nYiAz4iF6oKB6IL9JVh/FHgleBhSAYhwAoL204hiiYhJ6YNQI4iRzY%20gE0YHRX4gXE4/4UYqIEO2IJeOFJ6EhWFxlQVZBYh4AEo4FoCggFBQBEYsIwJgAENUA4NwIzLKA/O%20CAQD0ADygAHbuIwNMABAkI3LuI21NQDlwIznWI3yUA7Y2I3T6I3bOI0UUY3eODTPyIzWyI7OKI0U%200QDsAI/xSBHrWI/PWI0YAATgOBHauIzr+I//qI7YOBHbGI7QiI7a2JCr00JkMRXDgAIm4AIa0Urv%20IA6FwY3a6I3gKI//CI37KI7zWI4W2ZAYwA7hSJDOqI3RyI/yyI/vGJPbWA7mCJMTCZRzYY/86I89%20mQD0GJE02QAUqZPpCI0oKY4SGY3xyI1J+ZI9uUzYsxE3FYgmI/8PMLAC6/AaQDMA8sBPtXWPDYCQ%20WgmRJumO3zgXcDmPbdmTb9mU2fiMVamT8MiWMwKP8hiV4QiTErmPgWmSTdmOAIUBA4CN0xiYAhmR%20VlkO4HiOLMmTMfk3rOEmwHhYTXUW7wADpcAANhIrNcQPCxAbC6BenYEgqZmDisICH9YOozaL91Kb%207PMasJSbtqkAxbMwg1EcgjEgI+g+CwCcsZFou+kRCoBN8hIh7aBifOQ+FJCco+JkvoMYCZNApMIP%20IfVF8GOdnjFE2YmcngEbvbl/FbWDF2I1/DAMVYVi/YAY5mM5uVmW+NKbPqcAnaEAcJGbpQIfLAAd%208ANCGDYYS1L/liKVgLDxGplSPPGDMCfoZPxQm+f5Gco5nNIZAPGDocopL1EhnUjRPifHgLO5JO1j%20Ff4JoL4joCJVoO9jEX3jlcGmeyljV+kwFSIAOBpobHrEoPEDQmA0gqbhEZbzoAo6oMUBP0hRcCO4%20oiLwmkw6KrGyF+1job+Jm1jqD6f5FVmjEQugGEkhGMXxohs4RheanBbqJHABHzuAIUU6WfGjAOKQ%20AE+DfqBpFgIQAivQUVhhnaMyge6xFP0ppRsxOL6jKPWXm7XZJKzIPlohm5UIG75jJa80gdlJK8jp%20FUzaPr85myWamtuJINkpqdOZaJ/KiJUaG1l4GFjhqKVineH5/z6gmqGsiqGkkoOCqiBC5lH/kAAu%20AAP/oZ3ao6mDAakuqhEUwBnOSaiVaqtCmjBbYarRwaCvIRtZyGfwgzAJM0ZIl6ujUpun2qHwE63s%20gzkHRKJYiqyMqpvL2qxboZrQuqrc6otMAYg2yk7t4AErkABXEqhN5jvn+j4HSq1gep4YWJ4DW6/v%20Q6IZR0SGOivxVxrsdRF5xz5W8orKSp+u6VGEJ6ZIYTW+OZs5mJ0cSKCWOhi0Ah8i0Duxyqn805/j%205XTNBXVn4SShMx216W4rBDaUNi391rNic29RJIiksS5CC7RUhJFwNBZ6Ig+v8l3DyRYk91WdM15h%204XBrEW/5kf9wnhcoQktra2G1+TFzdoavKmdxoRMfZxUdQ7sfFie2czu3gdJWYttWeQsoSxsWohYS%20NWtoeloWqPWrepQRqRUvYQd35oZ57LZuEmc7COpwuZZ6BiR23KYfRAQ+jTcyJCEbc9dxajeyxnpO%20I3JjBTdv3QRE/vZLACds09GD20RCuYZNjjtv3tVs8QZe7dYm4bR2RudIXqe6LwJeXblj+8Yw3BZO%20ItJJmpt2dPKtFXZRFbtzfkcdy0u8J3cq+eo1EFJAfKUu5KFVfoW9Xle73Rd0dnFx5mS6a+ZnSPae%20T8p4Y/RVepe4WYGltrNtrDdvW+tRxoF6V/VdYkYivaIheSr/jNiBNx1qIzkrEte4FA48HfIkbFWj%20ISpzGtiZIO/AN81RSRYKjltTEieRABdwAdRqEtPhFCpTFwcoFRUBGzyiKUdadSijKQFQQywTF9J5%20MffCAI00OOEhI5z5vTxqT5yJMvPiDztwASysXa3LHaAzQodrT5riD1oyhOjRDldmOmChKY00Faeh%20MALmtwT0D3kUc4ySmuLQIbHTHO3QUevmPBg4YVsTxjtAaZqCFTUkILyyNVFxwFkBO2j1Ovb0e3Wh%20KUAipgUkAOUgyM6DXt2LFrHLV59RcZrSWMaBOSexAAPAlQLyajYSx3/3t++AMkSUKUyxSiLqRDsQ%20ZR3lxwVE/wEi2UlNNz2LkhEoQwBiCgQwtClyERLW0ztRcRgXEAAFx5kE4DdBsMez8g/yIMRslzL9%20wAIXAM1mbGM2m37ZYaE2kg4wILUJRCtAUFUXwCRukQ6lEAIoM1aaQs71hGshcQERMAynMW7/EAIF%20wABRURpX4Q8YMJrvkGeN4gHqTAAxQgENAA4wAM2X4zwhAA7ikA4RUHUCcsYepAAo8AEwNCsDcHgm%205gJLdzEz4AFB0AozIA4ujBwavQDMEAIdOh0s4AHrsAMFsBKaAsvtuR0BMAz1BCMaIgImAA4e0JXx%20UhLAAw7DgK1XhcsfMAxu8sUawQAz4DMJRmkUsH4DoGM2Iv8OzFAATy0vBZSIITADnVWpohYALrAC%201jPIOxACbIkC5jzQQZAOcjEMUzwV8sAMIsAMMxAEd/QP7xACGJAOLtC2pfoOHhATHvAOUYEyDBA8%20HhACdMEcKNdhN5MWMaJRX80osooc4PDV6OEPFPABEeACqukmVkKfQ/2fFBPYt5AOhwG/GVFXJgAW%20CNYAM1AKw5Bs/xCfM8CZTpYRUgcDVR1WHzAD7FBXKCYgvjPTUAYDKsMCUeHRjwUOxTQSQs0OLlAA%20JpAV8uBBApAOxfQepwIO8lDaOorZCHxmZfEc61AC78BsekIBAZDO8XVVGnIB74URzlOoHiAL9SR3%20LMAMOvD/AbBKcjsQAbJQmqSsEdx9zQRE4CWwDkRcdKW921ciGCJQALLAke91GizQDx9QAiuAATqA%20AgQkAjNQAhdQVgUQHwvDDhReDi4gC9MTwcxQAh9AAbfQCldWDqVQABhQAigA2JHWFxdQCjCgq98b%20AAwwdVfGMFBWCutAFRcsC0a+YADQCrIAL8fhXUCw5K9CvgAQAiVQmjybOXXEAFgRyh/QChRtLafR%20AyZQAh7wAaVAQ4m8A+BQAuXgLgzwNPxQALeQ2AUwA27CrOBwCwNgArfwAbj8DwEAAyXQDhdQAsxQ%20yQOgGgxwCyvwyJattkdlI1HBAnZe153mPE/eCi5ApgQ0/wAwAAPcSSf+gOmgri5YoUUhUDcYAgO3%20YAKofRcKkM5AcMghwQwRUABEHNP7HVW84lkssA63INnz9UWaIg6yEAHl0Aq3cNDxsgAmYOAXsAKy%20QAA50udofgEFwAzG4RQ6EAIsYFen3A4uoAMMsAKlcAEZvCWeiWNRPN2lPQCbqsYpgwKN7SZgoQAm%20sAI98GQhwe23UNHCvgDv4ALroDL8nBHysOSgDtgnwQwf0CumsgPpgOhfbNQ+CAMR4AFaUkAiMN4z%20zZEuDwAKbQLi8E7OUxLrzg4UUCAd5ZwBMAPrUDgRkAC9ggHdnc5MbiPx5wHgUA4rQNIF2LTchR0A%20QAAFAP8Da3ZVOvMBLkAXftUPFNDXF/Q0IbBFRx1efAVbwa7GpmECpdAK8OIezBYSHLlXVEEAERAB%20spUVUZEOzKDO17JNwxABIbB+B6/HCgDg9m3owsYC3F1DLqDpekIALhABKlMAqS4gAsDdDbAC8V1A%20CwDeLgDeK0AA/A7Jl/21TAerP9jgKLM1O7ACG+1dGtIPwzADgVG8O+Aumg7uV/UBJgYS7GVPyNkK%20pZAO0AwrIfEBzB0VQvQPzLDQWdYrCoAB6yALzODwd8EA7RcCHmncME9fP5U+x2HSF9AOH8AMSQwA%203wwv68BFozIvKMAMQXALEdDf7VQAADHABLgZAvr1++f/j58/DAkSIvwHIKGIIAL8/cOYUeNGjhkV%20RPyHAcaFfxQwKjCJIcIKh/wWYASwIAg4GAQkYhTwb0ApHcwQtrspIAizUhfaZey3YAeMCBH4ZVyg%20cECBCyz+QcSYYMUtcAT6Pf33MkCEEiYQLrzYYIYJFG1fXv0XYkW7dMwESMy5AFwQD7cauMTo7wMM%20dhdkXcgJQKKLEC5KRAggMWXXCzBQYDx6doAIEQM6fgaNcYWLiG+//ns348PJp/4WKNjhAoaIl3f/%208QvQSgcKqwDaPf39jlkElAgvLvjQqpQHqxG/+hPA2CJGfjH9yYtQIN3R4+36vVtRgtntBfyOCljh%20YcaK/3XsNCZotSO355wYRRQQMAxGgJc3343cAYXx/mknp2GYCUG3DxSo7x8GZgggnQJWMA4mnQQY%20wKqLbgvts4N8w2gHcIbJ6SCQdmilgAAIvA0hFoKYoQDPnDsKgwJKQKG+BSACYphSGIDqJBRuQcGz%20dl66iAAYPPhHgZtYXCGCUgjgkEMRWinBg+n+yUmrxmCYwSHo/tkhggXEgcEhlCKC4YMPiqpPIiDW%20GSaIlSx6qh+2PCjhlnckCoCCflAY5gIJDTJuoYYestAfirbssMPEFmAhhHf6ucjEfi4oYQYMMDJN%20ARMKGBAAF/9hYbAPvINpgfwmlOemowhMBwafUNWInf8ZRPgooZtYkJCZHUyFCTcUwHHotYgYYoad%20ENoEwKScPhjPAy1BBYAAZmCUZZiwSupnGA+CgAGGBk6KKoRhEgAHBXGoE6CcGRpYpxUge9WMsxkj%20DQ0AfuqiQLHyMKIAhRI+OE2jAEadwUmQjtrBg1JgcLVJ+xwEcwEQwZIHBe2akwihHsBZ9VuoGiig%20AAZeeuomNEsJ4tt2FOCHnxWGSScCF3L6CDdwBsAAhXcEMAkjNIMoJYJyAtvhH3lcGGaFVkK4CywG%201rmAzwEFMO+DGYBwgaoKQRoAQw2p43ejHalLihnEsCUwgaQT8Ie7iwRgoBXenqSgwGFmoBqm49iZ%20sJz/vE5ysJWdIwIrWxeArNlkPdtq2qOS6nXPtwUExSAdBj7QDtSjGkBBBAJW+BSnf5hhwAVZ7KIg%204H+ACOGCBLfDCKFhQsDAgyI1AgBq9dYxKdODFvUHIokcrWjDtD87Lid5WJDsLQFEuOADKgNrmQAG%20muv1rbB841ojBYZZMSl/ivYngHc+6uejDUUAIizjFpjV/XerY/EfEdhpSdEiIoDIBKABzjtKAHpA%20pvRtiCE9aMA7LiARf/1DHB8Zhjy4BJaQVE4Erskdl/4xjPrxoz756szzQOMSebxjIx+hQDpc8A4R%20cARvIYhZCE2CEAxocAHW40e4VjCssGQqIgxA3/g4/yiAd2iQQFgBgAg+kI53ZWRDwAJS/DyygAuI%20QAAeeId36sOPMCpgaBlpBwt2QIAEeCAdJPlITjqTqmuV5CkBCMJHBuCQftSnAQ3ogQe8lZMNSaRs%20GUoI2lTYPw61Qx41VCQL/DGAD2BgYAepzQXqh6QQompFFkrIAgKnkYoB4B3vEh9gevAWhciOUkD4%20VBCxxRAgJI+RAiAABQRQFVwlRABHEUECWFCfFXkRA0HwFlZYIA9+tLBpCCmPPD5pk8DkZEUEQMxT%20OPiPBohJeRNp3iI/I8CP3AQh5XtLVEAFEmk5Dy8ReRLB0rmsTrZjfk8ESUJ6Rp21ZYRYIQNXWJ7C%20IP8LAQB8YMmJSW7SMqQsb5sDs9hveqnORHKpH8RqEkLgd5vNpFCcHDkOec5joVkpgGUbocBFnhTS%20xAw0SEeRleUs9i0A8AwsR9mnRlR6FPElkn/N2RxKr/IWk7ykpwolU0m+xUpbFotD72wSQjHSnEJe%20CJEb2mbavpnPfsxKhGP0qckkgtCLsGqpskxKCAXwkX6KsGiCSqRJAgaR8mgUIfHEX5BMApjAdBI4%20JqNODXkGEX+UNZ4IuWhF/YfGdcqOg/HsJqNAwjxIfdSyl+0XBeZJ05wABaqYChI/TGKV4n1LAA2y%20X0EpiBlQYta1G0Hhvl47W8xSADhgqWHCKqbSmSL/abUtK95LuqrUIzUqr8l7y03iSduPVvWQZ6sS%20c6WrQskAdnlBwpcCjoLUDREyTwTTyKwUQrC6SaRX013kRbYZ2aYu71HOQ298P0OzjPDjvL1aYH0f%20psWsVgxxaPTqRyrXK6uABSxYka9WOaqvBDdYbflkJ0w7SSDNwqVKeJFID/JiEidharw5CaJyRbhQ%20RTo4Us41W0WzauIGlyivNzFpWLYLljEthEsas81Ae+UPUykGcUdZMYtDo16NsPeblIWvkOXrEn/x%20OGD+qJxrimZCEfZHfpC0D10hclojskaEfUWKkkMTWzE3OKg1fQsBZpWYE/4wtVXWiAA1IgLgbDki%20/xK2cJLLvBEUX7XEe5YuJM+iNvhexItN8jGCL2bFnBiEQPJ7SUl9DGidRpeb3mzUeymN3vyloxQF%20oFKjPzmMYbzFBJ86MoEmPYB0mCAys3tHUa2okcT0Vc+AJvOmaUtRfrADBaUYUEisnA6HzO4C+zut%20QhcgglmxQFwYWBOJXrLRmcLlJm3VdUUNmWKsZpu2IvB0Adgh2O0BQB4fKNoHlqY6BfSjaDVshzjU%20ZRAByCOPJSkqBwlq4WwTOSNGznQ4vT3bXkVMBzDAgAkKEwF2MIAdtvqHtn70jmFcxHOkXgA7hpYA%20j5lAACb4ABCAcIELBGAAzGgAAD7ADgVYSjF3tf/0pnM98MsmFiOE0wEYGQAEFIDRBBdoRRD88Q69%20laPkESf1BQaggHRQyQQRKJI8wDgMESh8ASYYBgEwwIAefMAEC5yVnPttoeeqmOavTUcJxO3wqRSG%20AVLjUggiwIwElJof2fvABXYgD70roF4eiOAHhjGABjCgAeJQuIOCQIBhrIzfuvY3RgA+WU2fHbO2%20QVWYTKC3VtziArfIjrdWAANgSykBBAB9dlZQAFlYRjkoWP16jtWKdaAgAuspBTj6sgIWmAjP2Z65%205cVpT0KaYAUiiNIMSjGDGdyiAOCgAAHAEQHF6cAFOyCK2gUkC9qnqAAuQAGYmJ8iF0QABi6Yfgj/%20WE+SsJ+9z9ANsvD5JQDsq+tYMLiFB1JkmX+MqgAowBIg4AfWk4UCqJfbG44IaBdwcIF1YL7/cwzt%20ULvVQ7iw6ClKi7xLkyz3Ejj5UyFCyggUYYCeqz0XeJNSaAUP6AEUCIEZIAtZIAARiIDa87SmWI90%20UL4I8ICOkQUTSIdWgIF1IL2JWYemeBdogjBdCz4PTBsQ/Id0WAcPWIEpbAXj0z7smZoZKAFZWIEe%20WIcVmAFmIL1bAMIVkJDsuACiK4UPUD/FaYUIuIUVMBgPeDnA8rb3MzsmVKGjWAFmMD7wY4wCuAUY%20WIGCcYGwuRGqOz/YU75Pg4F0sL0CCAFnQcEL//CYELC97BgOmHE/S5s8DqwsPeyQi6CZgWoFZwFA%209QMHFCwAJokRICyXAEAT3/kAcGgF3YOBlGHAlXABvQlCxkC/CRmMEtCgwoq0gVtCUQyNj6CZBUiH%20FWgAW2QG9OO+FAmAACiAVtCb5fiH9QAHE5gB12EGD0gZvQEHcKiX8AMHMMwbcNCOtHMB24K5W9sz%20POw2ZUwbEUCBvIOBqaGJVmi9ddilOMzGCMAAAFjHGVAPBGSGbARAdCSICQlCZpgB21sBoLuFYTCP%20+BOzDPxEcApFfASNCvIfIOAMS2G8C1gBwZOHdugdEyAAMOKMkQsCeWgAUmsAdkiHdAiCBNjJBv84%20NxNoAAy4AHkAgjeSuneoHH9CxgXzKJEEDR7bEAVoIQDIHsL7AA8wARMAAgUQAQYIgQ/wSQxgAaMb%20gJHrnAsgABOwlAjyAJKLSbUsynIgtXIQjh1wtISwsTskO277M6j8DAFgBwI4Hy1xk63cOREAADeS%20oKZDjSAAgpxkAIfTig8YAHbwuqIMAhNYvAsIgoQzvGEwAatArU3zSEyjvA4ETJDaiChCiE+qIdvq%20p7Wyo1kjmDXTkXZLCHtSKjJBiEMDM5pLxtWsL4z6FgpoDvviqVlxCX9ojir5TftYShD7hx5YrZK4%20iR1wmKvYS74kG7+MOeLUr2iJCA0xD43Bqvr/qJznhCec8CpZ8h8k9J/t+iSO7EhPRE1QpMfVfBIo%20qqjzIo8k+yHCWq7WZEoRU5tZUTRKG07xhKcF5QgA0E2NwIqmYko7DLPCWqECNc2+9LPwdNDmELuN%20MA8LO40ggwgEu05/uja4Gbv1yk+Q3E/AdKd4Gq8+mqkj+Qm0qg7FKJp2gCueSqk7q5nq0Kax4jGK%20ukAGdUrZclA+UwwQCQvbUs4NQc50Cp+X2CHb8iWTIL5QssCriDGNiByas8e/fFLngAl/iVJ/ISw3%20u42x8g0DCxg29Q0AyBQdvQ1/2E4OxUD83EAZTVPoSbR8GquOmNGrKKyySi6vworfCzNva1D+/4RQ%20Exkz0ECsxkkktno8vRybCfPObftQ+1zNX/pLS+0IUo1KRdqqgTvNQEWyQa2vbUqKuyqsXqmpm9BQ%200aKog2iHWQGKFvmKIPoKewrWuiFRVVWySSXOryBJAlmbiyosN6UOCQ2MWQkZ3oRTOPNSmGAVHjPO%20Tv3T7xxVWYUKoOBSoFiIg+hRsIiKpLAn4/jVDekqc4qJOB2qllEM7cJQQHvV9hJUcx2vSmNRNOrP%20NY0UGqNXCLUixUjUZW1Sc6WOX/UskCpR7pkwBAOtz2iNqNTQSB07coU/ia0vuoJPCmVYjnWn1fzX%20I6s8c0UsjUkkU4WJBlGunqog5YmpSQtW4P+BiY0FWSWMWFlVDFrtleJSMTwFJaUNL2IFFVx9i5ZJ%20LtlR1JT1Vw8dWZh1jVb11IygWj8F09xZMYzaJqR90SJDTVAJgEci2bZlMVIshwBgIrel2/iCCJ5i%20BxYAgqWU2br124/KExiTBwIoEfiinwF4JM5Q3MVl3MZ13MeF3MiV3Mml3Mq13MvF3Myl3B0QBxEI%20AJNUgHHT3NEl3dI13dNF3dRV3ADYAdPxXHagAAyIQQFgAc6oXdXF3dzV3d3V3R2o3dYlICAIFEVl%20WgE4piCYzORV3uVl3uZ13ueF3uiV3uml3uq13uvFXuqVoDS8gAQIgAvI3vAV3/El3/I13/P/Vd40%20pLjt3QHwnUySIzn0ld/5pd/6rd9CcV/w/QDF5M6vuCs10k4FEOABJuACNuADRuAEVuAFZuAGduAH%20huAIlmAGdhUG6ZW1muAM1uAN5uAO9uAPHuC+uZ7TgjQS3hwQRuEUVuEVZmEBwB8B/qE14U5fedi/%20teHnUQgem5UlveEefh6Z7U5MWVcfJmKOtc2KAi2gvYqDYOImduInhuIoluIppuIqtuIrxuIs1uIt%20vmIP4eIvBuMwFuMxJuMyZuLWujMHUlozZuM2duM3fuN1NVKOQFVMudcixuPQ2BGF6CoezuM/tp+j%207U1AJuQOUbSBTYhFVeRFZuRGduRHhuRI/5bkSabkSrbkS8bkSkasI8vkTvbkTwblUBblUV5UW5Mz%20TEEsUlblVWblVnZlMHPWRC7kWablRfKBjZCAXJYAH+BlH7DUKK7lYBbmYSZmur1lXNblXvblFIXi%20YnbmZ4bmaBa+Y0ZmH5AAVF3iJ5bmbebmbvbm6aLmjEhmbAbmbzbnc0bnbw7njjhma9ZlOnbidJbn%20eabnYF5njjhmXZYAeG7ievbnfwZoG77n3FFmfc7l3GFmbA7ohWbohsbHgcYIZXZnfUZohFZoh8bo%20jCYl7qypJnmHBTEtjXatXoaId6YAXnaAM2iGfIiHRJCAROica3YHY7gKdOgHNxDpjiDPmP9QgM9R%20Ktnxqpze5gD7hwDwgP1AY6FWIZLGiHf+Bx8ohmWYAx14Bl2+h3mQGgxYZmFV6lkFJeFwgU+qtq52%20Zgp6CqoKCUncN7Jeal4u6Vz2B16GAzgQAh0YhESIhxqQgBqoBhRwgXPwgfoY0ZyGn5wQh6YJglZI%20B0QZbLau5bspievxL6S5AD927M9g6n/Q5bj2gbnuhFuQhngoA7wOBwmoBmj4AB9Ym3uwWox+TdZd%20LAaQBXng16C+7GHugVvQAR0IAQ0FgFuYgSS8bdDoZc3WZzfwAUSAgxEwAB0wgj/QgQJw6Wu4hlCA%20AWPYZ7107PzQDevjmRJIBxPJr+Gu5QL/Uz8BQAEd2AEjXQdZmFDyJm5eNm5dBgCUhoNO0IESMAR7%206AZw0GtjcAFoqIakMJXWdugGKIXrA4db4I9+SJHTAFv4xmP+PROy2Je0E2sJZ2f51my93mflhgM5%20wO9BQABeyIQCSIVzQAB1uIUEiId4kAALVeodiJFPWqitcBJl1fAbro0QKAEdkAVU+od1KAXt3PEN%20z+e9xmlEQIQRuG88GIYaCAcjkAUEqIErOIVbmAXslgDWZmsHLwUtEqF28JiPMKsjz+OD8IctWAEd%20EIYPKIEFwtNsZE80b2qDzu5++AaUHgAdIAlxmJijCIcUWaAainCM/hcd8BbUCAsBKAAY/5gqO//j%20i0oCfAgBHdiGCMB09/iHWwgB2pB0ccbz2/CBPWdyc0gZ9PuamfkHLqRpUrzsAbiFQXSBbanOsmAV%20HQ91WXXifWiFZpiD/3MhE5CFpdx1PN9nPEUEZb6AlEGBBpiVYYiAmFkzx36XHSjCoqAVyEgr2951%20v/2QJDiIJBCGhSiPBtDBKAJQO0f2iEhuie6H8RYAlPGAkApXss4WFtmBUbkA9Wrsb3fbJk4CU1mA%20JFDMC1iHdVCdb6doppyG+i5u1riAdTR0MRXunF4xIJhCWgP4Hj4IRCnwfkgCMqlsAjkthndqjfBl%20Xl72GMukahqqL+tqL1WWXut3CuKtjnG/4SamngoOaUbSeczeiF9Kq0ljKLJmJa9lqx0xqqC34X6g%20Hnc74/EpT6d/MH/4hoh+CRY4xv7pzssmT6s4lRqiNqs3+zyG6LNX+7W3Z7Z3ex++6DtveKuX6I6Y%20+7fHe8CM+/lOeadX5qfmiLvP+3QOCAA7" height="188" width="589" overflow="visible"> </image>
            </svg>
          </div>
        </div>
        <div class="fig"><span class="labelfig">FIGURE 3.&nbsp; </span><span class="textfig">Actual working width. a) YTO X 1204 
          tractor and Holmeca land plane. b) YTO X 1204 tractor and the 52-disc 
          heavy harrow. c) YTO X 1204 tractor and the medium 40-disc harrow.</span></div>
        <p> <span class="tooltip"><a href="#t1">Table 1</a></span> shows the coefficients of the working width of the three implements that make up the aggregate with the tractor under study.</p>
        <div class="table" id="t1"><span class="labelfig">TABLA 1.&nbsp; </span><span class="textfig">Utilization coefficients of the working width</span></div>
        <div class="contenedor">
          <div class="outer-centrado">
            <div style="max-width: 1160px;" class="inner-centrado">
              <table>
                <colgroup>
                <col span="6">
                </colgroup>
                <thead>
                  <tr>
                    <th colspan="6" align="center">Tractor YTO X 1204 </th>
                  </tr>
                  <tr>
                    <th colspan="2" align="center"> Land plane </th>
                    <th colspan="2" align="center">Baldan Heavy Harrow with 52 discs </th>
                    <th colspan="2" align="left">Baldan Medium Harrow with 40 discs</th>
                  </tr>
                </thead>
                <tbody>
                  <tr>
                    <td align="center">Working Width Utilization Coefficient <i>εβ</i></td>
                    <td align="center">Construction width (m)</td>
                    <td align="center">Working Width Utilization Coefficient <i>εβ</i></td>
                    <td align="center">Construction width (m)</td>
                    <td align="center">Working Width Utilization Coefficient <i>εβ</i></td>
                    <td align="center">Construction width (m)</td>
                  </tr>
                  <tr>
                    <td align="center">0,96</td>
                    <td align="center">6,24 m</td>
                    <td align="center">0,78</td>
                    <td align="center">6,85 m</td>
                    <td align="center">0,68</td>
                    <td align="center">5,25 m</td>
                  </tr>
                </tbody>
              </table>
            </div>
          </div>
        </div>
        <div class="clear"></div>
        <p>In the case of the land plane, the coefficient of utilization of the working width, <i>εβ</i>,
          reached a value of 0.96, result that is close to the unit, so it can be
          classified as acceptable. For the heavy harrow, a value of 0.78 was 
          obtained, value that can be considered low for the real possibilities of
          this set, due to the fact that the construction width of the heavy 
          52-disc harrow is 6.85 m. In the case of the medium harrow, this 
          indicator showed a value of 0.68. This result is classified as low for 
          this farming implement because its construction work front is 5.25 m and
          authors such as <span class="tooltip"><a href="#B12">Jróbostov (1977)</a><span class="tooltip-content">JRÓBOSTOV, S. N.: <i>Explotación del parque de tractores y máquinas, Ed.</i> Mir, Moscú, 1977.</span></span> and <span class="tooltip"><a href="#B10">González (1993)</a><span class="tooltip-content">GONZÁLEZ, R. V.: <i>Explotación del Parque de Maquinarias, Ed.</i> Felix Varela, La Habana, 1993.</span></span> report that this indicator must be close to the unit with magnitudes of
          0.98 and 0.99 as a maximum. They were also considered below the results
          found by <span class="tooltip"><a href="#B6">García &amp; Ramos (2011)</a><span class="tooltip-content">GARCÍA, E. &amp; RAMOS, J. L.: <i>Evaluación
          de los indices tecnologicos explotativos de varios agregados en la 
          preparación de suelo. Trabajo de Diploma en opción al título de 
          Ingeniero Agrícola.</i>, 80pp., Ingeniería Agrícola, Universidad de Granma, Peralejo. Granma, 2011.</span></span> and <span class="tooltip"><a href="#B22">Ramos <i>et al.</i> (2020)</a><span class="tooltip-content">RAMOS,
          Z. J. L.; GUERRERO, B. E. OLIVET, A. E. F.: "Análisis del rendimiento 
          técnico del agregado formado por el “Tractor NEW HOLLAND TS6020 y la 
          grada Baldan de 42 discos”, para la labor de gradeo del cultivo del 
          arroz (Oryza sativa)", <i>Revista Granmense de Desarrollo Local</i>, 4(20): 717-727, 2020.</span></span> which obtained a working width utilization coefficient of 0.94 and 
          0.97, respectively, when analyzed the technical performance of 
          agricultural aggregates with similar characteristics.</p>
        <p>The 
          fundamental causes of the low value in this indicator for both harrows, 
          is that the operator overlapped one pass of the harrow with respect to 
          the other by more than one meter, which is equivalent to 4 and 6 discs 
          of the disc battery of the harrow.</p>
      </article>
      <article class="section"><a id="id0x5569d80"><!-- named anchor --></a>
        <h4>Working Speed</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <p> <span class="tooltip"><a href="#f4">Figure 4</a></span> shows the 
          magnitudes reached by this indicator with the three farming implements 
          that formed an aggregate with the YTO X1204 tractor. In the case of the 
          land plane, the working speed ranged from 5.6 to 9.3 km h<sup>-1</sup> (<span class="tooltip"><a href="#f4">Figure 4a</a></span>), for the heavy harrow from 7 to 7.8 km h<sup>-1</sup> (<span class="tooltip"><a href="#f4">Figure 4b</a></span>) and for the medium from 5.4 to 6.2 km h<sup>-1</sup> (<span class="tooltip"><a href="#f4">Figure 4c</a></span>), with average values ​​of 8.2; 7.39 and 5.82 km h<sup>-1</sup>, respectively. This parameter for the leveling operation behaved below the real possibilities of the tractor, which is 10 km h<sup>-1</sup>, according to <span class="tooltip"><a href="#B12">Jróbostov (1977)</a><span class="tooltip-content">JRÓBOSTOV, S. N.: <i>Explotación del parque de tractores y máquinas, Ed.</i> Mir, Moscú, 1977.</span></span>. In the case of the operation with the heavy harrow, this indicator is within the ranges established by <span class="tooltip"><a href="#B12">Jróbostov (1977)</a><span class="tooltip-content">JRÓBOSTOV, S. N.: <i>Explotación del parque de tractores y máquinas, Ed.</i> Mir, Moscú, 1977.</span></span> and <span class="tooltip"><a href="#B10">González (1993)</a><span class="tooltip-content">GONZÁLEZ, R. V.: <i>Explotación del Parque de Maquinarias, Ed.</i> Felix Varela, La Habana, 1993.</span></span>, which range between 7 and 10 km h<sup>-1</sup> for the first author and between 6 and 9 km h <sup>-1</sup> for the second author. In the same way as in the case of leveling, the 
          heavy harrow remained outside the established ranges, falling below what
          was reported by the previous authors and the working speed values 
          ​​obtained by <span class="tooltip"><a href="#B4">Fajardo &amp; Hernández (2013)</a><span class="tooltip-content">FAJARDO, A. &amp; HERNÁNDEZ, A.: <i>Evaluación
          tecnológica- explotativo de la grada de disco Baldan modificada y el 
          tractor MTZ-80 para la labor de roturación en el cultivo del fríjol 
          (Phaseolus vulgaris L ). Trabajo de Diploma en opción al título de 
          Ingeniero Agrícola</i>, 82pp., Ingeniería Agrícola, Universidad de Granama, Peralejo. Granma, 2013.</span></span>, which was 6 .12 km h<sup>-1</sup>.
          It is valid to clarify that there are bibliographic references that 
          refer permissible speeds for furrowing, harrowing, sowing and 
          cultivation works, a range of 3.5 to 9 km h<sup>-1</sup>.</p>
        <div id="f4" class="fig">
          <div class="zoom">
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              <image transform="matrix(0.8065 0 0 0.8065 0 0)" 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C3bEUsea%20lXEHGhABHNi4AFV8T+mgCZ4FfC0HHaAjA5Jhg+8m6B4MGEI5mLHEcvxAAt/YRgY0ygohKaD/ZwaQ%20QQSoIcB/KIEC5QCBD8qRRXdYsQC/+MY3PNGADvRiAh3IgAAYgB7xgYcCKEjQLvQ3gQkUYMU8uPQo%20dKHZDqwYwuw4XwK816pj7KJ6+t2Fs/5RvG764oi7kPAocAGCGQOMGrlIwCjK4Y57osfD7RnAIgQi%20AJUNgD0FuMA/ZFAAHviCAz6wwThwkIEtTPsf7gDBOdo0mWQkUhe76hUOWoUDJZwFB6n6xxYEcI4I%20ZAoHKrOBpRg65Sp5BAC78Jl+HP2dFczbHQXgxTzyI4B5q2M4OFBAONSBgxAMQB3u8MUiBDAAmg1g%20C6PTAAFwlI+CM+0CBeDAD3gggGGjGwcM/whXLmAWjjx1+FYw+rC9MQIBFKxaT/We+UZysAAxSUmT%20Ot8ILvQNLJhjSebYecxTMrAIpeP8i9bJwAB+FXSS8HtETueIxDFZH2CfJFETkcF8hsCAbhkk6wvx%20hZA00GaCMIPrB/EBh8/eCwWYXSEKgHtMYusREJTjHBPJ9j8KEAG0/4MXqnoIB+Z9qQQrJB8FeO1C%20QKABf+RCCVtTQp0P4jlvIwQABbh7SK7eEb07xEkKYIB6LtKLSJH97hmg8o8Mn5BeqL3u3eIF1Q8i%20+yPR/iNeLwl/IyD6hnCAUxwox0FKALOHkHXwNxeILuKlkBJEgEkGaYAnOteQAoDQIEpo1f9K+M4R%206tUABR74RyjADgBaySDviBeIuzigMg4oOwPvHwgBJuWDJIldUTJAM3bHVuDTfgIBAKHwKhyQIz7i%20C+InELzgDrvADL2QJjIgA9EyQL9AKxbAAOzgCeqAFhmgTDliEAZAW6MwbADADLwgfr5wDrugI0jH%20EaS3ERDUARAgEcfAT7kwAT+lJAXwgwsRMtjGMQSxKQzxDcrmEGRFAAagCzAgEAxQXgaxZrjwDWBn%20EKHwDZvXIUYnLDPoEQQwCqywC+UwBOqwcf+gDjAzACNzDAyQH8ngCemgAYUCZf9wAVS0eqwQYMdg%20ADviDwYQCsmQht3BFv8wSiujMrwAGDz/wAF6ZgAqkwwMcFdpwTrM4A4GEClDUgCe4AttxAEDIAQN%20MDooBwW9ogsXQADM4A8cEAoGAHgwAIVQMAoM4AsG4HIlQX4bIUMZQA3fYAC7gwMr8D4h8A0oUA62%201QAyQA2jAGXbsAIJUAPpAEUsJhDOow6QhgPpgAsogAPlsDseYF24EAIS0A3JgAL8wAxboI4GsA0E%204A6j8AJCYFsL8BgxBVE5wA7fKBC2NHS7oAERsAXap0cWYAASoAETsAvBNIYRsFChUAvO8nffYIbL%20qAChcz4dwDkiUYMZwQG75kDpQEWtgoTH4H0/wACW8gOegARD8DUgYAA+MARUJCZ0AyIG/5CDOOAJ%20AIAEaageW8ApntBFriQQSgBxDzd4MCMEKjkQTkRiuWAASbIlBbACG3cOHvAD59ANFBA9HJAMEPBW%20t2gAC0gQ2NUAKEAAVgkDcJgf7mBLi8ABrJCDIhF8I9EBEjA0NeQEozABALYL6hABTrAAYsQOP6Be%20Y0UB42BjBOAJfJmXiegEDRA63aABNsYKEzAKTiCJOqYODCABYxhMnqBj31AOEzCaowAC7iYC3TEA%203tNE3sho/4ApNWAA3RA9aIQLInABFtABFkAATiA8owA9U6OOhTMKseYEEcAAK1aWJsGLGSEDCeAP%20/8A9bqQ92bNN90ANL8MAcSVTDMBgPf+Dl/xjTwKhRj7kbkYEmhRwD/fAlRRgUbcJSiKAaN+QANGD%20aNkzDp64Cz6Sct7kQxSQMf+AQSJQA/xQDrBzm6vzmzWEC8VDALgQjt+XC7uQA/KlAfzAnQXAAPcA%20QRPgOkowZx0JdCAxQ++SAMD5McdQCyhgm07APhZAP+wwCiKgBCKAAwy5ACDAlx3wGNvgBAxQOy2j%20axJgAHw5AcUyCg0gV+04CgQgADpGDZ4APCjgBPLVAfzAOEPAkCjAAfeQbwKhDnypawsgAQtgAJQU%20St0QAVWqYwRwYrtAKgLxCyToDvpAAU7AZxYgAhbKkFuAMb4WEnYpErqVFvVpATjwAoH/FJ9t9Asc%20sAAJgFn5wmQWwAo4ukRDKRAFQA0SGo4R8A2LgAOCxmDMRACoZVhKsA3UcA9KYE7lIAGuugUX4A6s%20VB0TYAEDwA8XhUuRAgFqc44odFQHmQEccFSe0AEe2KYo9ALlIJEvoA6eJQLjUAM4oIgnAZ0Y8QsJ%20oDKSNVa5dUSlRCgaUwMyhEgaA1/zAAPlxAr7JxBM1gC7EEieKhC/qToRtQWCZVsZUAAvwA8h8JnR%20s6WHxwAv4FNAtgDM8AKLZAEBVaDdEJ4LMGDlwGCscJAWIKv/QJ9sha6NswtD0AB7Sq6Uk1S9gAse%20EKKTMnom+hF4+Q/uxAC7+UP1KVPs//ALAyCvPnQBW5BKgoYDNeAJrloDO4IDrloL27ALOXUBHDCk%20arpa7rBCYsQA6iAC1LANBvCB7tYA7sADOYsCpFJVP1ADCzChxqKXBvACFzsBU9hCbBpKNXABFlUD%20ydBGAxECdmUAu7B/ERAK7vCsDcAO89BEHLA5XgghJEENeVlVZwoAL0ANL/RZDZAP9vSeK+sJx6UO%20uXBVEqAODxs74TUBDXBhAqFHC/MCHHAOYPYN9IM7/HAMVaqM/DBs+kBPuFACGdVg93Cf3cAKRoKq%20ItANDMoA1VoL6pBlPTRWg0ZXEsAPXQkCIuABsCMC/lADAFBoKKGtGNEBHRAOkPMNbv9KDb8zDitw%20D+uGCzHkgeQlSj1kSmg6ugLBCktWA+PAA200DtroCexrAGHUrEqgURY2rKhTAAVFAAiLaAWwXy9Q%20cALBPrc5AeAkv20qvwZADZSDA7VQULsKiJFyshKQD/eAaOtWm4JFKENnQoQEEh6JETk1TQkAvyKw%20kRPAvxLgAxbQN+WAUf8gAPTEADKQoLr6AjviDvGEAhOARb7GZ+MwSZ7ADCI1Z5jHD0fjDlQaAfH0%20DzmgPbjgbawqUBJgTAsgHft3Z591xHIlM8IrARNQU6uFC/+wRANhpwQwBC+gUQ0AAGV0DxJjU8vU%20p4f7IWHYEWPIAKrmCSjQm95ZDgP/QEktug0+VgtiVFZqxA5oai5rtYYoYEvloAQG3JVZhEUXVZ/K%20aMXbBF9XKEpWHFWVgwLqkTyyo0sL0Hw3bAHMG6rsgzL9gwsXy0IMEKqIhmf6gAt8BC7lwA4WgAue%20AANCJRLaexEDMGm4AAASsGIF0I5N1AHjMEFwdZijIAGmqQTeMwATUA6YuypMylsGkI5MGowLMAEC%204D3nMDmXVgtW6aLtPIUrRgAvUEDSsQgMWQMeYDirVmkVO84NoGMyM7qousQ2dqzq2AwdQKftaDsD%20gM0agAv/ugguWpv8gFQlGlQiAZKS+g1SGgE1YMB5xj4lIJGAOXTMJAK2FJ9vBQPc//IP6QhL3ZCL%20kBwBXHlWsHTDajrJ58gPVstCF6W4uICWgAdgEQCluLAA/rIyA8VMHaBO68RNKNRWL+BB8ksB6AsD%20S4hdensx23ABL7oLSrALkAZZGPTHMXcS6gQ+DOBcHMAMFvAC57ANheJuFBCwyjQO5ZAOfQoButAA%20HNANApEDA5VyBACK/AADnlAA6rANIUAN7JAPjTkERMR0fQM87fRJdpNl7JEB3vUN1uBNIDRPFuAJ%20BvBETnhGOeBuElAA2zDZSsDaBGBaFLA+uSABA8BNycCwvODOz5lzIeE1OZhHZekP/uAD56AeHLAF%20lrICuvALP5AfIGAp84AEQjBsQ/8yDkOwAgUwHwOgMh4wBEigbNn9DzZQHltAKrf9Qj+AFhT3LgUH%20dgMAA6TiAeMtECuwAkjw3yvgC/5wDkIwD0KQDEMwAACQA+MwAEWiBOzhD3PiAQTAOAMA3dKdICDg%20bFug37+XIi37EbpkQWktAjBjRojFKd1ADRaABMR8rQrgRvI2AYsgAe6nrARQA8o3WNPHCu7QDTP+%20Aj8AAgsQAmA1BBDARdjMAOkAuRqgoBbAWZBFAUPACkErEFvQDTCwAFtOTlRa2ARAAA0wDn3SAVtg%20A/wgAc4wAXCifkcVASGwAPGSU7s9AWXEN7TMiSBRqCNBMygaxz8jJD4gA63xLHL/JxCPwQu+0HoD%20oXbPIhA+wuiOPhC8EClK18u1oHyRwom9IAM+wOdOd3egfulq9xhg5wu/IHeNrntqJyS7suq88Bg7%200iah0CYk0cwboUcz4QNlmwB0WnWCMeIf0S2eoMNg4y2cmAGhHumxPiSzLuqRYnY70nq9MC9CouoC%208bte7TOY/ivMzudUh0m2V+4dPCS2p3a65y2H9zOSjusDVKe27gOPQe/q9wuNXpdfSDaBHBKcTBM4%20QMvYVyW6rhEQMCcx4Qs80O8zssIc4Q7RBxM2oD0PKOx+LuxUUvAt4gOhEOIb4vAYfyIXH/Ibb9wY%20DwAWkA4NT+wyMgD6AANbo3Mj/0/yKKLx+zEARTk0cLIC2zA6f4sWICCvEDAOrIDwIgLy+xEpQsKJ%20P+ULHYCp+aHy4uLpRs8hM0/zWGfyG6KnUEoAuoMD7FAD94AEGGMBHjBptQADWgqZJ4L0+qEO7IBa%2096ABF8CwQ3MPL7oNOIDlBnBAL7AAQ84lIr/vI8TwWH8hNq8f5EMAViurQYY8+XCsMjXltTAPHBBO%20LOL29UHIB/tY2VObdZyWPWQADHA9H3M9DdC8KHL1BWF7/5AOHn/4sKX1F/Kb7mBVeLkF6lADtYAp%20DitoJ9upvpn5LN8gqpP628BFKtQ3QFZoBaALoYY7m8sDEHTJI3LxA/8zETAPEv/aDXwu+15kOiKi%20QvewWlXdbgtpWA1kwLIzQ8V1DLp4IZpPH3y2Dd48RN9QACBgV/wAEJ4oSKhBgJ8/fhrYLbjX4F6v%20UP8kTqRY0eJFjBk1buSIEUYOjByGVBTArlYHfxQlOOFBQMC9FR1lzqRZ0+ZNnDl1TvThzxcIADuF%20Dp0ZIYEIJEJeiFjBit+EHBQ6UAjx7V6EAR06lCOwgOhXsBaZgfjHw0ZYtETLUWAQYcE3T6NwIaEw%20ygkBCwv4WdilrgaPhrhEiFAnIe3hnR9DjpwopMMEAhM6QJHIi4AIGP8GvAj6T0GIfCFEjyZd2vRp%201KlVr2bd2vVr2LFdl8hAsef/z86IddvcOtGXD4kKJPr65UuiD+ChevH69Wv3c5pjy56FXj2jjQG5%20zA7wQUDdv2YEQAhxB8FdARA/QOQDwUyJEhyLxlmnf1HxRZEUQxmXCKD2RAo4yKADASYaAofsLlBw%20QQYbdPBBCCOUcEIKK7TwQgwzrPAYCGzzCaj6QqTIgC1ENHEn6cw6cUUWW5TpPovym2gACigY4CJ2%20cJggARxkmCiHdFwUcsidbgORSCSTtC5F6pR08km0YKxIRok8sMAAJC4i4AcGLJggn4kgaAZKMp00%20Mrcy01SzIybXdPNNj0DCjzEDC6hJTDjzpO9MPftUs00/A4VSSoqolCi8O8cU/3TRr/hk9FEXAYV0%200hMJnchQiQigJgLhOsKTUlBncpQiGXoJ9VS0JEX1ptx8QHPViSyVCNMcatj01Yw+hXXX4z5E8wcJ%20cLnHAOdIvYkBCiaIaBwKFuH1JhlyYIYXiTIwNURVn+VIHX4I+Cefb17AQdt/ZP0HUyG8oklXE5vZ%20hjEPWAGTXLBG9WECahoo54UCh5uAKZtgoKAGZzKgpkZ6ZwKBGlyU+McGESKIqL5sM+KSlXFXBYCa%20Cea7oJsFLCDXXEOHsCABdiKYlyN2RSQogn96iYCfbhJu1FeecssgSIncycswmyKw05cIOlDX5o1C%204QGXZP5pq4MbKSZLxY5WWP8ABQZgDaeWe+yUaIIJvuLAgpR8WUufJEmmE7wIJPhmAmZkarm+UKgB%204YV0fFmhG6CRLhLn4BaIwACLfC6nA4l+WcGGC3Jx/HHIc/nBnRrOCQcJC2r45ocVIvf8c9BDF310%200ks3HfRwWOmgGSEIqOUFHjo/ffbH51m74ozSESGcxJnJIANmghd+eOKLN/545JNXXvkMjnnBgId8%20gIGdEpa3PoMSOoiAAGZotOCb360Xf/zhfaRIbYp+WcDbdRU9cQKTOvwngrD9/hu3iX6hn6yKeukm%20AQpUBgruWAEUDHhABEIhB55gBwSSIQB+GIAfQhhCAi14QQxmUIMb5GAHPYj/wex5IgQZmEAELKAL%20CHxQhQgUQgkoUrEQcCBLFdkGzCSSgwFwIBmL0EAPffhDIAZRiEMkYhGNWMRj8EAE1KCGJ1wXoGMc%208YgXAAEKRECAFZwjBxKwwA94KEUwhrGHPPhBRdA3kRDUwoYzmVt9dCGBF0CgBFvgAD+oZb+cjOof%20vCiA/CgSDgmwhSJIKJZGCuAVT7CiAbhgHx4v4osXeOAXAiih3bA1tSbFzAC4QEECJBA3ABFuIqGw%20wS+Qc0pUplKVq2RlK135SlgCZ2EXWACyqEG4WL7yHz/ARTlE9o9cwOQfuSRmMU9pRjnFaG0+0IU7%20hpCDa03kGCHoRQHW1kb6/ywAF57QBQOCtQDgOPImevyHAZLpG8GhKRf/0Uhz/rGFlPBOnBeRQTkA%20UIJmuSWc9FEVM7pRACTA4Bs8oIgFOEARvUUTVDAQwj9CcUehAIAdXcrFCu7BAFAS6YwTkVkCXuDC%20ifCgFscgAC6+sU9sLgkEvdhCAUKwBf7MsybkXIEJo6aRdc4EADGVKUZCMJ8TqSoUocgAfxS6Anbu%20MRc8pdQ+wVJSHJRjATUQgSg1es5Cre0fSGCHOkAwsT3WZREUKEAHGiqREoC0RbTpKU7I+Q2qHnQj%20OW3rUBQqIlWt4AX3aKRGeLHUunIkKOqYwyVKUIi0YfVSWmXGN9bHTl9gjv8DFABBBzQgkSG4AwcX%20mEdnPftZ0IZWtKMlrWfNgYRclFa1q2Vta137WtiK1gPy7BX+KLIAylwEohKha2D9pKoMbEMAWsXI%20X5kKKWeYQbnKNQRYuBAEJkT3BO1A0kYlEoIX8KMDIaiIQclq1v54wAbpgEB5zXte9KZXvetlr5hc%204Qc/TKMZ7aVvfdfbjPnaV7/75W96czAN+ZY3HGjSo1PuQYGMTYQV7HDWRHrLkVdEw7cYoQUXTFQx%20BiQ1I8blSDui++HmpqkI3PBGibkhh69kYQMlLrEDgFBdxc5Kq/qQgH+c+g8LDKCk34hpOni2Iips%20gA4HmDBFzOCGjOhRcBH/sBFF9DGVb1BkBWDlyBnwUGSLFKEHOQHCi3GSLV6AIAQyuLFFOLwRIjjg%20FGvmhiUqooYTxPkEahhSBW4wBTjgmQRfCUIS8ByAKSSByBMhhJznLCLr/iMEu0DBPVYmkWQAwAdK%20oO0/UlodKliBBZsgRxDoowYqUIEJazpBD2ZBDk5gRI/jmMBxFUABRh5HAYtIhwJsfWtc35oZ63DA%20JDKQa2AHW9jDJnaxjU3sSzDj2MvGNRdIIIpXKDvYoMiHtHMtA0v0wBHLBoD5JFIxA+yiFg3eMGA3%20sgMMwEHdcGAAnSXihyMImQ5CzoKQ7DwFQMNhz0QJQjXwDehqeFoihKjA/wbkvQEihCjR7jGAATrF%20MveJ6ATciEHFNwEG66jhCHrAwgbMoKYdBKLiekjBRfT4DRQ8fCL6sIBbEueBLQzgi4uoxCqAuIgV%20oKICUcDHHTwgRjCuohJfBHrRg7gIbNCD6EAfuhArUYQyRGEHmPjBBYjOwza4oBM2/+Ec7iAIQfhc%20ijxA20Sy5YsOMMCcFcEBK3JzZo0UAQNT2AegG0CRPsPhBjeAg6DtfYMABB4ObPgKE/wd+ClUQw5D%20COcp9s53DOxA4TE+14wJcIEIEBcjl37OAbBQ8YqT4+MVKTRaQl7xMbi5TEwgB+hZsAFCWESP7iBA%20DkJQyH+cYyG/9AEvLv8AgOYUgwt4CEVzeBHOFQhAFCOIgiQq0xzoR1/60I8ENKYPfRngQQbXNz5z%20uP998Ec/A10Axfer//1QEGH7xr+WDCpwhRHQoQCG8sEbvjCJZfTiximIghFKvhzpK4ZI8L7m4Kls%20aYZuyC2KgAAL6AD++Qe9AY4PoIIUSAEKpAWKkIS5C7wAkAASKIBx0IBbOLwpSDyBe45YuAUKtMBb%20cAaJgIBuyAMx4MAA8IaI2wggWEEL9IOJgIIN8DPEo4E4QIEX6AZ3YIUSBLQbcAGK4AULrEAquIUy%20E4pEmx8UIIDj2rwbrI8DyAbQiwErMIEeAIWJOIB5S7WvOAEp+EIyGLX/imCCIDiBIfE8NpTDitAj%20HygAXMAFoKqMBXiBm/qHFfA2IGiDehsOJeiAWoCFNNABVYAHCaA8jQAFHsQIP2gDL6sP+9OEjKDE%20jLjETJQIG5gAfvgEHdCBL4CFThIBCRCAZuiFCtACO6AzH2AGGxgHT5iADVAFVSABzfuHNwixi1AV%20GaAGccMFcvsHAUiABeAuCFQAD3CELOCGJKjGJGiFWzgUA4AHMfi3faAAFBiFcIyDwwO4A3AEGUhH%20dVxHdmxHdvSDFPgAefwAP8gAdQQFUrDGJCCFICiGbdiFXSgFSOBASLCHXfAaa5jHD0iBc1xHMHgH%20a3yHClC0btiFKijH/8QrggKQgAQYBXGoO0DDgCaQCIi4hVbQR24AAnXMAD6IBJd0SUqwx3RMyHlM%20AVAgKtwrF8ozlBzwJSdoAA3LlS2kjzXQgy+UAio4gzawBD9gAgTYBBbQAzQcCiYggy/Egi5ogleY%20iA/gBivwOCE5AJEDvTaUPcABkHJQgrOiCJUDJnZygTRIOAAwgATYhQ7QhR64glNMgyrYBYehiTNY%20g4zQhDQAh4xoAjJMi/dDhIwIzIwogjTgREW7jFGoAXhogVOMgiLoBAKYmVpAgUwYBB0wAm7IHEar%20BVyIgy84xVR8gW1IRi4wgcQcRkyiiF4wAE8oAJeiCF2ogQ7YBolIh/9z8Ic50IQ+KMESpIEK2IYX%206CQZ/LcAYABGOAdcdACMrAYiQAIP2E4POAbv9E7uDE/xDM9KoINGmAH0bAQwqITtvIAi8DfkrAYH%20qIVdkIB5kIM7Q85TkIBRYAd0IAJSQE/05IY76ITuTIRTyLMShAM6kIBO6gZwgM/k5ARbaIYVYANS%204MApEINSYAUQyAVZaAIaQM4p6ANNMFAP8DoXKAIWLYIBOIbt/IMKaAUBnQEHYIRFKKPz2cm1MZkO%20aLnf8JShrA5L6IINYAHUkzxgPAITMIFUAD1ysEOKKLTYo4kTsErQw4I9MIE2WIOmRAAkTYUNcDeK%20oAIwWAMpfY6qdL3/QzC5s5SIBpgAAyg7nPoPQ7ADLUAEb0gAFOiGXJAIRDhFHbgCKmCFUeCxieCC%20kcQILhAEL6hS0kOEPI0FjDABJkwyjZhCicADQdCBMiiFbyAAD/C2Rn1UjJBURMCBb+DTCCiRJtCC%20UxyBSaCIH9CFUqgDR8wDClgfGFiBQqCCKMjMBmW0quIuPPgCw8SIbJGANaIIAaCAclgjXogJJjjO%20IMyEUbAAAggHTpg75GSFfTIDjEwCbrhBQjhXmyABBcUzFJsIw/u3xKuCCMitCgAEGrhXQNizAcCF%20BACDEUXOPhg9iWADOEC8gtwFt/sHM/iGe73XRhg0ifCEgg08MUCD/1HYBX6ggA0YUcQLWIqQA1IA%20mxkghYmciCbw1hJ8BDdEpsX4IwPQgBLggXcRUhFxhjMwgSwIAgQYg0DYgJX9ByqYhas8QYlggiOQ%20giP4WY74ADAFPSlQA1oggi5o0ietOCz4gH94hXXwA0PgBCvYhECgAzJ9DksYA6td1Dt803+YgFrg%20hxKZq//4AFxNgzgoB2f8hxT4gijY2zo4gn9wB4+KiX/AgzbAwIsAViNogh/AAXVogLewgDwoA0/d%20AE/Yggt4OFBoATsQxop4hTVwQYxoArSdiHFghzgwAkdEgxfg01qgAAOghyLoP6yFwJ1ZARyQA8lt%20gSqogW1QlBNwgP+93dtBeIOKcAFY1QE7SNN/YIMRiNVZBQB/oIDP/AYSkEXOfaHa5IkGvAgFsABc%20kCsI/NNqhVca2ABzmIgdAAQMuFcMOAVIPQAJTbw42AVRwoMzsAT8PQPJlAmC5cAbmIQQuBwecIHr%20LAKKeIMdSOAEvrJ/uIRvqAKOBbQ++Nn+DbwbOIV6mAha4AQF3gFOsDCJUINtINElDAcB6AZqyIQI%20LlGiJVh8Y1eKwIMVVln74FGKAIBvqIUaqAXwodkQhi7ouFkQDoIEVtoTaD3Qy4YeuIWJIYQNGAMW%20GAOxlYk36FJNiwEsmMp/uAUE+MJNMIGbbQMT6AKhrbhAGF3doAX/I9UDK+iBseUJtTXCDNitfCAA%20AjgHiqCr9xtUA6YIUOjgHXABFwwBC0ABwpmENGBgikgHAdiAEVCFPPhMceOHTckDvVQFNJBkXOAY%20dbAELTCC2bUIPHCA2bQIMPDbiXiJUaAAB1AFHRgBRCCEHOCABuCLUcgDRyyFe8iuGqhLFIgDvbwC%20jKOIVyiCDl6DUMwCfBDUKEi4iQACB2gBaW4BBzjBIfCETFjNOgjlisgWG3CHLdiCV4GCBFOqfxjf%20IITYfwCFNdiBNXhn5yvDRsAAesaAGTgATyDCc6iAeqZnOrBNF3hnga7EgZ3YAIAENOhlRqsCIAQ4%20ot0IF1jhGZgE/wJghQi4hzwYSAsu2Y5Qg1PoZ0C4VIn4ABrQ0HfIBAq4vF+o4Cm4AY4OhYj+Nzig%20YYuoQhwggEDciE9hAjqwAm4oubAIAk4gMh8QYo6IhEP4Qj3oAjE+gybghM+zWqDeiEs04CbgBgTY%20AUiVCG1AUoujgx0ggjd4gz3wwopjAW2ojjU4gxP4AHVOW9sCkFFIgJSYCEDahWYdxH/gAjtoXlh+%20Y43I50zAhxFo1xzAgW2gBhSAhdXUgUGYBA1oBmsBVL9GBD/QBxBgBQrghwQwRVVwAE+AgR/AvUmo%20gz62CDNogTL4OH+4BxSggE44Ack9RVCmCGuYhE7VgW+IgLdRO/9/uAMviFVEAGyNkIQvqIMWqIM0%20QGWJoIVbWEh5vAUQnghg1QEt4Ohuzl6KiIBaSIDL8qtc8AF0BjQamGqOsIYeSG/1xkAoAMeMRs7B%20owgmmAB6pgEMeAcqkIhoEABu4MB9uAEHIABdGAd3eE94rYa31ogDWOF3iIMEEAwJcAAa/F+a2IFs%20S29LIN4yXOE+cAARYF140OgAAHDBEYFaiINuRDyaZtk5EQo8IQQ6MFsWmAWBpYg4u4kUmIVAmAVO%206AETmO5zM+vXcwYgIIIe6IKmPet21QhaMAHBLFqllYgK2IQk5uYioHLQOwRoeA4gMIF14Ag8BIEG%20YIDvpgh2yIz/YfI9AOCF6j7FOkgBPoA+XphzOueFYmgOU0GHPAhWQbAHfqiFud6evKRtbvaBFMDV%20zDRvSigCRP+EKhBH35QAA8AGwvYCw60ITriCK6CDe1jljNmBLzCCOlDuIygGaeAFU6ECvRzNt/4A%201HVzInAGOa9zOo8+UJAEXMd1Iii+AoyEU2oHHyAO6DME5n1lO8iCOzdA7a4WGxmCnDQz8T1O5KSB%20/B6KceBGuguA+HZXaU/OW0CCbqiBWxbxJTSy+PU7mSBpeO0DPJAF83HhBV1yoVB3gB21cPAHViAF%20EYeEPHiB7/EEf4XOFd/RlrUNXKGIDNiSBRyTAzBKi8NuieCE/0PghmqfCSaQAq+2gi7YSpk4AToI%20hDEgB3U2BDrw6hhgAXmXiBM4AIEraubWiCAo4004hDRtArM++bR+DscE8zftBQKAgAX4DorwB3YY%20pUXYgnPwgCMYBLAThEE4gzkAoxyVA1eOAjTwkgLgAVsABURo3lcmAQ/gujmwBKYHu0E4grDXgEWI%20B0tw5dGsgC1oC3bo5dMdTTS4B3b4UQuwAGrghlO0AHuwphXQgDmYhCM45cOXAx/yAOD2+l70AB5a%20hU5Y+qY/+znguiPqhD/Y/M2vhKCbAxeYbR2IggroBDLC3um4Qwm4BwsQ3HLbaweYAQlAT1LIRqJw%20AcDjQG8AAf8kyAcZGO8poAE06KQJuNB1hQN5BwJukP0BLeWNuIV/LcEJpghLOM/ZbwWI14kDCNDZ%20t9FDlAg5MOgbkIOYugWUnYKBjxUbpggo6JuL0AsLYCcg+YcrZ9OxTQFNYwErMG+OAIgmY2IQ3FTh%20H8KEChciPMFpRxCGLjYRjJHKBBCFTDZYmcXp3xoTtBiS/Edllh5uETWSq5iNSsmYMmPiMRFtJkIf%20/nyBALCwAAoKQxZ2m5DQRygbAIqt++DU6bpQUqdSrVrsAD4dOkZMUujrjYMWYls4OEBJKtOnUENd%20YgtE0Ii4WuQsDEFClQ5V8CZQsMCOGjU0abSWMfOP19RIC6H/yZAq7VbYsQ6CFJN6qenTN1HbVu3c%20OZrn0FL5rPky9ssZX6F4KWQG4h8PGwtDWZAwQchMXrmW+QCl9sBInML/VbgR4DikPCh24eKXqdGU%2041NolBIgDSGYdzOSzHh3MKGvA7+dDf93ixT3JEm4ZVHox6n4D37K44wWHz4fhWzgTOkPh25CRLSS%203jsbBLcQDDmUxMFQCg2xyzcMMEPSNxFY4NM/vwghxC8TVRTDLCZ00UMRbxzCAkEsGOhIBi26+GKL%20jtAiB4opahMKjDnCGEokhFACoyMHWFHRLHu0sQMtkfByxkAxWLGHCetcoqOOlwSRghk/vljIDnqw%20EAgCZshA/yWVlCAUCYtktiiDDCYUMaWOvyikE08YIkQAA05EgJtCFBCw0Aoy0FdSEVFspUMLByjE%20xS0pOJrCLQfidMsGolgqCh1cKGRGGVrpgAghCzVxhVZXuEAfo49CKumgrc4ERKOO3gIKSa7BJptC%20vHwDwgqhMCSDLwnpFqyr5RUX3RRwkPDDOJ6wMsEM0QUwnaIJAeHoB45mVCxDtMQq6zPciksSGICo%20l8Q7ACLEhaopvOEDSQku2GBCv0jATgR2KtQAChH0gpAQMHBgjgtYVLTJBnIccUQXbejxIRl3zJEM%20xcloUMkfE1ecjD5sUJTiKYlsPDLJFWtQcic9WJGNFRX8Mf9JGybIAQ4ZFbGAADjmlLzzxRmTvIoH%20PdBhicyd7FzyHHccQUcF8px8dDJ/ED0HOiUPAMWcO/WkUDciUCPCAAsNQC9CuWQwrg9nDCII2w6c%20Om5C0WRhRhZ1ZxGLQjvUoYUqWtTxUUKGiKIF31qI0h7ciSs+k62xMSSCE7t4QBQ1HAibC7GLMyQH%20Bjd4fgMJCp3Qh7TTpaA56qnHBIokVLguCa2tyksSg3N6QAAUBCjIEDUFdLACQr9AAYUMXGxQoxVB%20RKKYGh8YXJEeZvDBJpuUBPFBFpSwySMoXTwfwxichEI9+eWbf74MjhDywQ4HEMJjBju00UY2H0px%20giPoo7//pvkZXPJPqN5gAmvor3yh4AIdArEJK3DiEucbH5ua0YY3FCMD58sAa46iNTv5QgkcCMEQ%20CGA5mZgNbq8AAhDMgEJNqY4kFaADGEgABjq8DSFAOIIMY3iE2LWwh8VqHK7qtQgojINPCClBDQog%20KIT0YgX/8mER6EACOtBhAzX8BxP6AAfjwIEGMPEhGMNIn9kxpHYKsYATapGA3RGlBhSwUw52FwRu%206GEWklgIE1pSkSdtCyGSIIcVNmAYhDShDWugw0A2cYgTiPEVa6hfRaRgiBYegQjlkUQgKkIORjIk%20VAg5wxroQ6etJcQACeAHLl7Ag5mUUIyuJAkhCLEMNbyy/5YyAeJCfjEBAoBNIcfYBTtW+Q9fAGAR%20ClATMpPZomIYwhAnUIMaeOEiGbyCDg44xTUdgIcxKbOb3vwmOMMpzhb5SiFkXIgZEZKDbrACBMJk%20SCiUYMR/QKAZCWHCB1aikEhY4mNjsEQPDPmKfwRhSDHYBB3+ccM2NAGLRyDHBvQZRjPULEUJbWER%20zjAcH2ijRjF4yULUsIMNrOEERTBBOTe6wYXMgwC6UMBCAMCBJZbtbLZMnf9uqtNB4XIhBHBCAeqS%20jglEQJ0D2AIPNKDUpTK1qU596lMX4YGpTnURS13FKhihVUYQgRGrgCpYwyrWsZK1rGY961N58AME%20sRGdZP8TAi7Y8afy1FM4ZthAILCwASb8oyZHOoJH9WCkM8wHIYRgAi1fSQgwNMkK1VIdF6IkHEJI%204UOpOBJ5ELIGLGwiGyYwwRsGNUp9xcQHE8DFXGu608XlIwIikEBJ0jGAFcB0tTrtKUJCQQHIsWOt%20CdHANr4BW4TwYgWZsy1yk9vCcyoknQgJgQGYQ9qY1FU4TOAEJzg5zCZ0YRaWNcEtlMsEOnQEcD3s%20wRVl0lGX9KALJqBVQSsSiFCKdqUKkUEGFZKLGjAgFwr5QX6V6yofrKAD3ygJCDqwC3UI+JW4/YcM%20PMGAbTCgBDQFAAU6QK9hNbjDHi4WcxPi3H9w4BvSHU7/dbmlBil4NBVfVK4aDjBIH96iCwGOyRqa%20FINN0iKgO6hAKmzGhlaNdiELSAZDBlALETSAuPrgwAV+IOUpU7nKVr4ylrOs5S1XGQpIeAEMhHDl%20cLgjATjQB5fTrOY1s5nLK7BnQh6cgQUYAAdKoEDYYsLh1YagAK9ByBDm+eFBxyTECHFuLnbBjwJM%20l7pwFpclAitRQqeOD10I7Uz80AUHjGETejAvHhrmURZog8j2TUgHqMGAySVkAB3QBTucDGU0t7nW%20tl4zBDxBjXCI2cohkEAEQkDrWxO72G1GwqP/8eB/KOEFtcDFAiakZ8zZ1gA1aDJCqMEKSnM7Xm1t%20Ltlk/9uqFHNLSChKBR082e3UuaAHOOlBD5hwyDvOqQdBThEYTF2nhRhABOwYIUIUYAF+lEMhSEjp%20umMygeGWxAICSDjqlp2hFYQAJ3ve6W79+48BjALbEOe2oUlMtmKRm1t/DCRfP645P5iAhSUBRRsG%20CkCSuMGgMcDCB/RNSoQAoAA/AAEOFsIDCenXpipniCeCWhIA1AB4R4ebxMtzcZ2ywgId+IUvJmAB%20Azyd0CEfsatKzi0zHEC7XYfbGYogkzOklyRdSgUWLKHu8hQ5IT+txSiUTkKjnx0nzCAA3/vO09c4%20bk7HkJPFqb1THyRDAfyAQC4SkIAO3Fjwtv36yMOebP/LJ5cIR4iJAFkFSyqcYQeJre++c0IACehC%20ANLeO+djr7pl88ICFyjt5Y5702+8QAIFYAUO8AUv2V/+2yLO/Lg3T3yd0uK9JTnCDsRYd4RQABes%20mK4CNNDWVi6/+9ySeA1wQQ2NJ6QXE7g9cRW/UyhsIx264PoKnO79m2J+UBCwACueSE/lz/+Va3A3%20Q9QEwvXQ9P0DAAiACIzCnyWEBNyDEhRd/0VgeUicLjBAOWCNQoyDE+TZPzTR8CGXEOSDBOpU/dHH%20BHQAK2ROOqTDCNoSy7lcQnRBQ0nfqdGTJ0DOOOTKtS0EEiBeC/7gQixbiflDN3BghkhADSDZYeSD%20BgD/wDg9IZWwCRROIRVWIRUyA00hRAmWhwjgAtfxnAYcQw5AABmWoRmeIRqmoRquIRu2oRu+IRzG%20YRm6whFUwAHQwRHcwjWAQxs0QzPIYRwOgb5MXy9YwChMwA/o3z+EADXsYAfmwAAIQTr4ISVWoiVe%20IiZmoiZuIid2oid+IiiGoiiKIgToy7ItwCjsQi2Q3z8UgL/pglEhFVrNIi3Woi3eIi7mYlPxABKw%201bwMygt0Q28hBATgwAAgQfwlozIuIzM2ozM+IzRGozROIzVWozL+ACO0wSxsQirMggu0ATgIATJa%20IzVeQFsRIgewIEMwQyhsgQgEzwqAgAeQIz3Woz3e/yM+5qM+MuM8kM2DKcAEMAAUDOA4dMAodENO%20/MIK8IIPNKRDPiRERqRETiRFVqRFXiRGZqRGbiRHdqQv0g7yyQQFnGAvPlfFAeErHU9BIAB9uVIB%20xgQU9AXD/QMSVB5KjuCD8QIF1IAFcIDu/cMCHAN45IIi3mQLbuFwDAA/bINCiJ1Rpg5FQYwb1NJL%20loQPGMA3lAAEPuUPStwKvMAG5ob6caUEIuVwiGBT8h9ZKo4ZfE8M6MFUvlJVlgf3rWX/PdhV8sPk%20CRpDTJ1dep9Zat5fpo4bVBRBkEHKuWQNDkpdDubyPRgAiACeCYdfOqbsBWbyWabm0MHHbAIYzF0Y%20zf/lcDSmZnLeg/0CWlLmWJYm52Gm/aklaw5KECBAKoxBmNiSaJKEOizCVsamaRJeELVKZfpm17km%20fTglcdJHEMDbjMnlYlLXKKQWTfpgcp5d1MWEIg5ndX6ccdIVbG4npeUmv6HAw3VgCPDAEJSAeq4n%20e7ane74nfManfM4nfdanfd4nfuZnfqaDKQLncDBDBESAVqbfT4InxHUnin2ngZJEDuTC//xDOtSW%20YqYeK1mAnwSPDfgDDxwDVXWoh34oiIaoiI4oiZaoiZ4oiqaoiq6oByTDPF0nQyxCN3RAannggj4d%20ggoHct4oQ0CACFiAPtCkZDZaC4lnQoAALoyCBRz/xQpkQEc+KZRGqZROKZVWaWv4p3D4wBDwQ9Bl%20SAg0ITMogJiOKZmWqZmeKZqmqZquKZu2qZu+KZzGKZwGXo7ixI7yaAbiQp5pXQFQJxgZafDow4Um%20RC5kIZ52G4wuBC8oQARgGyQilVXpoqROKqVWqqUqFS9+ZBmFpEz0woASo4IeqhLwAzv0IgXUwjek%20Zmg+Z0wwA3WS5qESWqIqBA6UQwQYxT/4gAzkQij4gq/+KrAGq7AOK7EWq7EeK7Imq7IuK7M2a7MW%20ZZ0uhCccWELcaawKAQBEAFNuHTUs4KpSaKvAaqx+2KwmRAn0BQQMZVGO66BFa0LIwOQpxAqya0ko%20/0EEdIAB+IMn+IX8fevOhWvg0auHlatCZOdqCmyHueud1EZCQAEH4IANHIPETizFVqzFXizGZqzG%20bizHdqzHfizFusNrjQM1nEMHdMMPgKzKJgPZACpCgIAnKKK4ImxyEWxJaCfNIpfC/sIL3AM/qGMG%205MIKAEAIFK3RHi3SJq3SLi3TNq3TPi3URq3UHi0zwAsSgMDZ+EI+TC3XhgDfuWwJDJx0FmrOkiuW%20ugrOlu1O7WwBWEAtnCSEqqPaIpfLKgASNKpCNOncNpjNkkTa7m0tKSyglSeoAq5tuWwHssMX/sI8%20uFPEqizkRq7kTi7lVq7lUuwivOjZCufBGi79Gf/foXGqd3ru4rEqQwwBDBAANSCEL6TDOUBBHMWu%207M4u7dau7d4u7uau7u4u7/au7/4u8DZDf94KfVDn35IuGAkuSVgr8qqOy4YDNaCWwdlk84qRzZbA%20vfrWYXRu9YaR8vZoqHbv4iDu1S7EzIpvC9msOxAVwxHYB6KvGH3vQjAv/MIN4pLE+dav5tgsa3zD%20AuRWCWhACAAAARewAR8wAiewAi8wAzewAz8wBEewBE/wBNMp6Ioc3NCv/nLL/TJE/m5w4vQtCFBD%20bT0qD0TqpaawCq8wC2tApprTBYNdZoKw85ouQ/jCt30wDYuLzYZDLbDC7vRC0OIXLxSxER8xEif/%20sRIvMRM3sRM/MRRHsRRPMRVPse7Jb1rucOq4LIDWQA4SasBqseKo7wuwAyyyrhOJsepgcbWGrxqr%20FLjGxA+wQgN0wH/56RtD3ebKhC/8QgjQ1PHm8RjFsOgmqCDbrw0zxMLBIwwsQi5cACRHsiRPMiVX%20siVfMiZnsiZvMid3sid/sicfgz/uMX0E8iELh+AOAQMYoQafslUmsjmxw+74QjjgwA+EwxDksi7v%20Mi/3si//MjAHszAPMzEXszEfMzIfMxTArbKRstRxrysP8i/Sx71Qg9zOazQPGCwjRD7sggSUJEIc%20XDbzsDMPhymPs7dN80ZR3AuUZAYgwQ9QsDzP/zM917M93/M858PXbvM/CEFffKFqobOr9G1fQrNA%20y4TylgMFDF/AcIAHtDBER7REnxV6Zk0c04cOH3QQlrNqFqhGIzQhDwoIiAAH4XIVnzRKp7RKrzRL%20p7QidrD5hvFHtypH92g3GN05z7TgKtgEwG0zXPBMW/S/4sT7ZnRQ2ywziMAu+CCBBXV5KKwPzAMH%20cEBKtfJBI64uhUNvOvUt1bSDfAM72FQopIMA47NZnzVap7VaG3A+vJ4WhvS4WLVAu6wvRMAokM0K%204DFXr6NXK0QOdACGyBakTjRhF7ZhYyo4v7U6c4tco7PLAkA38INv9UIxCe9aXzZmZ7ZmszXf9f/t%20l2GIEBdqS482aZe2aZ82El8xXItLY4+zy8JLB6BfKHjAFgwACh82buf2pfKA5hLvcDTDTYNHGu81%20SC82ybmxRiNuBrwArviAbigAake3dE83dSfxcRG0wXo0cSs2SGYwcl81P0NYN2AgQgTKdtO0b6Ot%20QRM3GxfueQs1kZJELxS1TJ83QSvqeu91e+/fe8M3txj1TN93ruQ3V+93a2czTG91fyOEgOfegmuq%20WxHZ/H73XId3AVBAuoLxg19penOudm+34HqACOgdfz+4y96fBfxvQpj3hjN4XzPRAlyIg7f4Pwhu%20hQB2QmDzgrssB1CAACwp684DdC+xL/RCE/f/gi8wcZEn+RIjuZIbORM7OZFLuRJTuXVDOZEzuRIv%20eZRr+ZV7eWqDORK/r83igIV6ApO+74PvNAhYAG8u4gDwABRsCJ3XuZ3fuRDoA57vOZ/3uZ//OaAH%20uqADup7zeaEP+ob8wKfmKj/3+I/nFm3bNlQNAA48dFQZI1jxgDuElTucA1idw6ZDlQcY420zlaYn%201aUPQKaH+lONuqQ/VTK4A6o7lauX+lJpusVEFaVbulMllf7ZLAFMAFby3ApwwA8gOrInO6ErO7PT%20+aHv+bPjebQ3u53f8vvuNAx0gFD+AyTywLBV2Ty4g5a5Qy5gmT7ggAZkmQcMwLjDM5bhwCJk/xkP%20sDuWrYC4ZxkORBmWzfu3U1m4j3u5X5k+DEAyZJkNnFm984D+uew8pDi1+oAvHAMAILmweuo8QPyw%209sIFpAPFB2svZB8vEGsvHEMIdDyw9kI+eIDJA6sPIAEErPyvZoAGAEvG2wDHZ7wCeECx+oAQDAHM%20++ovaEAGECuBvTyxyjzWZXygYfyweoDRAbuwUysAXAAHrAC+H0OW5cK9C/w5FDyWHYMtmzvEZtkF%20bP2Vkbu6m72VwXuWJUPYv3vAXxnYt3vbv72VIcEA8J3gBmgHpGY6LPpCyEBiM4RxwSQzByFf5q1M%20YGtMlAB5M0QTyYQ+6LU6wWYoDD6gaPcQHP++QmTA43twfr12OfCDEiLEQMZEBmh1TISDW+dS4ifE%20ENS3DIhuDsS3LwjBusJ+6yuE8MjEAJcW7seE8MbE7au5QuQD4C8Eh8TZi/+DmVMAmq+4TPzA7gtL%20v/Yo5ydEBmgvSQhBfSukTNRkq2K+QgiBhDJECLw+QuiDdm9/+Pu++tPk+QuuBrADieeDqgZ+hpfE%20EAAEr38DCRJMB6Bgwgw5EhbsFc5HQ4I5mEkcCCCdxX+8wmn8lyOUxhAhNIbqqHGIQIshEFrMkNHi%20w14EffjzBaKlx4G9cg6M6PGnRR9BJRJtaFTnUZ1IEzKlmRRoVKlQixZkBuIfDxtU/y2wUIL/oK8h%20My02y6Dx18mVPRU285jurEWTHiH80pgBgkeKGjF6bGbXpVuNEMhK7Ds4JEEYDCVyGMKVIGDIkylX%20tnwZc2bMNW+y1fwZdGjRo0knvJp1K9fCpVm3dv2a62KLjmHXtn0bt0bOOHP39v179GmtwIkXN05V%20duPHx0E7Tbo6t3PbTHd7vqxLn0UA3RhITlhgQlyJ+QiITziAggGNBSQwTrg9gnqJv8pt82VRw7cV%20FgVc4DVhnIYyKOC+AvJKSIkhVohAgIZC0OUfAhYwb6AtBviIgPsK8qWAXnCgoACJhEsNtBBUksgD%20wSQaQgiPfAFrJXeWk+gY6/7JBwcNYJRo/xEb/9HHPQf/CWG/hphR4J9f8mnIF5L0KfK9kI7RMCGS%20bqRwyF5CGWAei5JriLbRxglRohC+iWDHhAyg4AeN3PHEIhkkoACJosqJ4MCEwomgA1YswsECJSyC%20IAI4GyPgHwYkoDAEBkLaBkqCGkBigA7kK2gcJTKIoBzohNgmIk/caYiVZniwoJyibOLtMyWcuFCi%20AiwQAVEHKXhhG40aQEEGi76xAAaLFmEnAhwkyoAAfiywqABqRAiwoV8ooIYCiUAYBQYC2OkApoF8%20+aaWfwwYJdJ/1HHinG5uVfGfDDq4Jx0K+Ll0oAFGUW+BXRqaAIV/IqDAWCOxGg40De4Jsv+gAnCx%20gF2ChBBBhHIL8qRaX+9pUCJ1cJnAonMsQCHVWHH5pteGcnmhgzQJoriXb/hJJiEZLGhQgpAL6maB%20Fe554ZyESqAmFwJqYaChNf8JRQQOElqBHQUIwCVXib5MKMzQknGCY4m2mJPohgCQwIKsJbpHBIt4%20wMWfkhPa4p4JLjh2AH7EToiCb5qWqBwK2IE5IX1GicCDDjogcyCZUfCFFSf4JsiAVxlg4IW3CeJh%20lG54+OaegAdSgJ8E/hHCCcL/8aEcJ4YoxwISC6rus5Z3WTyhjCKIOqFQILCA3oIUoOYFLAcSoQal%20JSJglwWWtKgDzRPyx4IOevaaHRj48Wz/ARTciQAECoQf6IcXRAAggloi9UGCWnAwq4bsCEpmYRkg%20YKdWglhBQYlfIE6oGXb4YeYefpQnaESgkcE9RmGlhuiCByLA2NIIQA0ISYQXuCjbsRJggMQ0pAPf%20wIpEfBEO/1kkAhPowIwKUg51iW4gGhhFBzRAgQXM7R/dcAIHQOCEBSSkhhM4Bgi+MbdeRMAJNhhH%20OdiREBuMooiuGlVkRDCKDFAgAghTjBQHUjXQqIMfN5zPPyhAO4f4ogMNsMgAavANi6jjb1Tc1Te6%20lZB8iCBPCVnAC75BpYJ8YxsUiJ9isliAbjRgbkOggAjy0Q1cPG8nDMCF0kLAD/UNRB01/1iADzRQ%20gxYR5AKC+0cDEqCOgvxiArgQQgR2kTufrMpHkOnFE7fXEHfcQ2UFoYCfJNIACliAiv8QQANEUJGi%20vSACtGwIDKjhFA6IgB08sEg3XpCA49HkF98YB/YosMGB/MIDFgCAzGDnAxlU8x8TkEBCfuGOZfkC%20dwnxhQQKsCYK+HIgvPiBBYYwDgaIwDsDCeBnANAsEibkB/y4ZEOGkADYJcwC45RIOizADzE2hBf8%204IcE7FgQXVRseCjAqJoG6cWBIKEbEhDANwqw0X+AwALquEAEtEgQD0hAoQr85BaoMao5JUQIC4jA%2015JnFSVQQwgTuMc3TlSQqRXEiqAxAP8MCyKAuymlG0z9Ry8scEvfDQEJFvDoQBhQVUM1hAAmpcmc%203ikRHFBjFw9cnS4mQIA/+nAIHSCJ9lbnry34y2aM41g6OgCtnRwDYB3QqkP+YQEcQMEdljwKKkND%20jWCtiB/qYEo4CNBAi0ggAaPwZLR0ccw2EkQXLFVoQ8phxmV24xvCVJME8CkRCghgAtuwgAYScgER%209CqZGMSBAPgBAaPgoAM/KEADlpWQbxBgApm15kDCwQ4kqAME98DSPj8TCmpAIU4UUGuVctCNbhRF%20BC+oQcMGkg8o+KOI0XoWPz5LkAg81LUGsIAHVlQ+U/4DBhHYwnEj0JDjbpKpBDDjCyX/YgEOhOMC%207BjoQNzxDQEkABddK0gHcrECAPRWarlM6mcUZZEfJKAAaitIMxbQgA5IJBTfSAAKHlkQEJQUvghN%20j6/yujoReOIFcSTIOLohgv8NRMAcoMCMC6KPeyCEHa0cSAc4QIAaQKGo/9jGBNyxphj/4xxMtsAo%20ilsQdgyAALq4B3abwljQFMsiBEBBBx77ng7UYLMN2VIHdEyQ8l2ZIABoqMQG8keNaMB7dZKIIfdY%20EAmAwAa4oGhCkECBs1DgGP4dACm/YcCBnANPb/ZHQ7qBKA50gC0QoEAI7CuigakuMyV4wYILwoB7%201fkfHGAHNe4bIQvs4p8DgUIHqPFd/4kI1QK++wc7FtiQCFiAHWTGITX2ljF6WuAeheYiosox2pVJ%204ByVW0RD2OGOCTRPZeOwwA8YADLT3AMJv3J0hmeTa80U4KsJGUcC+ioROb1AyTSBwSQlsgIRUMA6%20m7IAkvDm14YooQaeYMoARFCOig5kHKzgxa9UFo5FhXPbcvTABGoQxYTowgBDEEEEnjmQXEzAF75g%20QJx9MgEhPO2+rANNOi5YJQ/goL0XQbWQLMIL2mqkBG1aCTwl8gNWfzLSKznLBTzDixxEJAf5/EcJ%20ZDCEZAwgn6FgSAhyUSaCW9pbbpFBxgWGmtDIoAA2UoIEXD6fBrDi4Qa5K7MmQPSC5P9gAgelSYI0%200gwJbFpE5dhuQZ6ry3JIfRyRxkGb18eBRUzgG/lWQjNWIAFYFeQHgvrHFtRyzQJkYAD68ZKG3d0a%20X/ACAFKPzGV4IR3MiJhJUnG9RnwRCgAgJSK9mH1JhGJm5vwe+L+hbvCJX/zXHJUgGzb+8pm/Gd83%20H/rRh8zwpV9967NbOdfX/vZH93zuf5/51Af/+ImP/CqWnvzpJ47M1d9+44jf/fHPjfljjX75l6Yw%20um8/++/fGv1PdfeuD/76jzSo5P/aj/6Ur/0GABckyD0MyB1sZhFqzCMYgADizBOO7vv4r/9AAKYk%20hxkAIx/qbiAEAIUsogEYAGO64ef/3G8A0y8XagAXakDQhoQgjkFswsHXoGIbDECtDIC+3C8B7Y/8%20RmkUGKAEDMAGtoAfVqAAYKAA0ut6LEAGDKBFQsAEYUBQLgBR0iFZDIAHmsEThkAd8gEK/wEHCMBY%20lEBptqA8pI8D74+Mxs0TBmACAAYMO2BJYIAdDEADCKAXfGEcCEAJ7ooA3MEXTIwVaEgdtsEDCMAf%20wsEANo0ABiAHCKDkqu8FyQ8CJmAUJuASB4AH+IEH1EEAQOAFBoIeJkAEeIEA3oYZxoQDOkQfCCAU%20mKEAHAoHACADBSAcwMwHeIAAgmULGoQDDCATm28ICXAghIAauuIeXGgX1IEaEoAB/6rlAu7hHiJA%20kSjAF9whASTqBdSBAnDBE3qMH3poAl6gGyKggaKtA16AGtTBewiA3i6v+eLw/hbADaPxlhBuAiIg%20A5qBGvjhGhNAF3hBvF4Ad5SlHBgSZzpgGySgGwRrApTFAJTlG0Qgl5pvE8nvF4rIAO5Bq1DgomqB%20FZYFAiDGAhqgBqjhF1YgAUQAF/ihAL4BF8qBAfQHprpBbijAE6CNYshGCcIrWahhuaBvGZnRAwjp%20HoYgAmAKUOSmv8LKY7SRHXghezxhAlgBJ0XgG6jhByLg2DpABuaheRqAA6pqHIasBm6MHXwMDr2v%20/9gpAmDgTHThaciSFxqMACJAgv8IQAFmhxUqsuOowY8koAPGCXP8oRxohQEKMj06QJm07yPHLwdE%20oAQ6wANQ6xs+RG6WhaaySn9EoBkyKbQa4BveMgLYQQMk4NiuSx8soNcCxwKmKQISgB2Iix/mTvqW%20kgBH8RfCyAJSkizBcllAgB0q0gK+YZzEDZCqjRq+YU0g518swBO6CjZDamYSKqGGaGPmsjOY0c70%20kh/eywIsoBa+gQJkoBmAB3VmKwSCiRUmgJm2gQH4oQMmgBVZIQK6gR0oQALOkZnK4cFYThNPjRkh%20oAYGM29MrCwj4BmP4R52csi+IQOSAX6CSTG/oQE4ZeRuiRVYYTopgAGOTQASihr/JEAJWIEfxIr5%20gLP/guofGM4TwOdDv8ETcsUXuoEaPOGsBIUHGkAACKAA/CEohQAGMsgACmAc7kEJtuECvk0fGOAc%20ymEFKKAbmuFXyC4f6fL+zkEfeMERFUAXcAAMcUAgQMAAmiEZPCEEcWAe5mEAQoAAtiADDAAGzqGe%20lGAAkpADfmAeeKAECAAEkoEAVA/6LhP8RjAUcoEayiEUJMA/C6VryoEaGIAHLOUffqAcYMATlMAE%20qWERPCY+9JRWWGEAyqEDVkBVGeA120OE8i1GSY88CaspJAI6nmN0eFU8WeVWg1U0GDX9cK8qhEJX%2066rnrk9GhdVZnW88n1VaL4NY/6fVWhOiWa9VW3UDTLfVWwFIQb9VXIfJVsfVXLsvWs9VXKtVXW81%20W9vVWvURXqWVXee1/97VXp1VXvM1WOuVX4WwXP9VWvdVYAnQXwuW/PAVYfuPYBc2/g7WYbkvATsv%20YpkRBG7C7ir2/jJgYLpEY8lzCH2gF0aWZEvWZE8WZVNWZVeWZVvWZV8WZmNWZmeWZlHWB3xhCzpD%20ZGuWZ3vWZ38WaINWaFPWBwBg03iAvoZWaZeWaZvWaWH2pHKpygqAaqvWaq8Wa7NWa7eWa7vWa78W%20bMNWbMeWbMt2a430HwbRbNeWbdvWbd8WbuO2ay/wH+ahSeUWb/NWb/eWb8XWAP8yNp7yYSQGl3AL%2013APF3ETV3EXl3Eb13EfF3IjV3Ind3HP4hcoF3MzV3M3l3M713MbNyR44nNHl3RL13RPN3IB92NX%20l3Vb13VfF3ZjV3Znl3Zr13ZvF3dzV3d3l3d713d/F3iDV3iHl3iL13iPF3mTV3mXl3mb13mfF3qj%20V3qnl3qr13qvF3uzV3u3l3u713u/F3zD11xpYAnEVyMeQBmeICHI93rZ13ydVQWAIRjeNyHQ1wnU%20tyDid36rV3/pV1jjF3/99x8eIAwCmCAA2HoRWIDJUxiGwQ0WmIANmCAa+IGrl4IXWP0wwAmcwIEJ%20IoIhuICBwQlMwRg8uICfV4PjR7iEB/iEMXj8HgAZlkAY0veA5ReETWEJ4reD/6F/mxcDiIGF97eH%20XZj8VKCFB+KHQRh/Ybh8kRiImZeJJSKJiRj8CHiDDXiK/feDBziGCSKLlVcYSFiKn5iKt4+Jt5iH%20bViAtziMV3iIlTeKE+KNy9j6+oGE0RiN6feDhziPkzd+xfgBEGAg+piOpc+KTUERnOCJL3iBhWGD%2077cgGJl543eDxfgfJLmQx0+BM3mTp7eTM/n75riMRRl6SRmUtQ8DJJiOU/l6WfmUXxmWY1mWZ5mW%20a9mWbxmXc1mXd5mXezlYAwIAOw==" height="201" width="620" overflow="visible"> </image>
            </svg>
          </div>
        </div>
        <div class="fig"><span class="labelfig">FIGURE 4.&nbsp; </span><span class="textfig">Working speed. a) YTO X 1204 tractor 
          and Holmeca land leveler. b) YTO X 1204 tractor and the 52-disc heavy 
          harrow. c) YTO X 1204 tractor and the medium 40-disc harrow.</span></div>
        <p>The reason why this magnitude is below what is permissible for the land leveler and the heavy harrow according to <span class="tooltip"><a href="#B12">Jróbostov (1977)</a><span class="tooltip-content">JRÓBOSTOV, S. N.: <i>Explotación del parque de tractores y máquinas, Ed.</i> Mir, Moscú, 1977.</span></span>,
          is conditioned by the skidding of the tractor propellers (which is on 
          tires and it ranges between 8 and 12%), to the irregularity of the 
          frequency of rotation of the crankshaft due to the variation of the load
          and also to the change of gear step and to the sinuous movement of the 
          assembly.</p>
        <p> <span class="tooltip"><a href="#t2">Table 2</a></span> shows the coefficients of the working speed of the three implements that make up the aggregate with the tractor under study.</p>
        <div class="table" id="t2"><span class="labelfig">TABLE 2.&nbsp; </span><span class="textfig">Coefficients of utilization of the working speed</span></div>
        <div class="contenedor">
          <div class="outer-centrado">
            <div style="max-width: 1160px;" class="inner-centrado">
              <table>
                <colgroup>
                <col span="6">
                </colgroup>
                <thead>
                  <tr>
                    <th colspan="6" align="center">Tractor YTO X 1204 </th>
                  </tr>
                  <tr>
                    <th colspan="2" align="center"> Land plane </th>
                    <th colspan="2" align="center">Baldan Heavy Harrow with 52 discs </th>
                    <th colspan="2" align="left">Baldan Medium Harrow with 40 discs</th>
                  </tr>
                </thead>
                <tbody>
                  <tr>
                    <td align="center">Working speed utilization coefficient (<i>εV)</i>.</td>
                    <td align="center">Theoretical speed (km·h<sup>-1</sup>)</td>
                    <td align="center">Working speed utilization coefficient (<i>εV)</i>.</td>
                    <td align="center">Theoretical speed (km·h<sup>-1</sup>)</td>
                    <td align="center">Working speed utilization coefficient (<i>εV)</i>.</td>
                    <td align="center">Theoretical speed (km·h<sup>-1</sup>)</td>
                  </tr>
                  <tr>
                    <td align="center">0,82</td>
                    <td align="center">10 km h<sup>-1</sup></td>
                    <td align="center">0,82</td>
                    <td align="center">7 y 10 km h<sup>-1</sup></td>
                    <td align="center">0,68</td>
                    <td align="center">7 y 10 km h<sup>-1</sup></td>
                  </tr>
                </tbody>
              </table>
            </div>
          </div>
        </div>
        <div class="clear"></div>
        <p>Regarding
          this coefficient of use of the working speed (εV), a value equal to 
          0.82 was obtained for the case of the land plane, magnitude that is 
          below that one expressed by <span class="tooltip"><a href="#B12">Jróbostov (1977)</a><span class="tooltip-content">JRÓBOSTOV, S. N.: <i>Explotación del parque de tractores y máquinas, Ed.</i> Mir, Moscú, 1977.</span></span>, <span class="tooltip"><a href="#B2">Companioni (1990)</a><span class="tooltip-content">COMPANIONI, R.: <i>Material para doctorado sobre explotación de la maquinaria agrícola</i> Universida de Ciego de Ávila (UNICA), Ciego de Ávila, 150pp. 1990.</span></span> and <span class="tooltip"><a href="#B10">González (1993)</a><span class="tooltip-content">GONZÁLEZ, R. V.: <i>Explotación del Parque de Maquinarias, Ed.</i> Felix Varela, La Habana, 1993.</span></span>, which is 0.88. In the case of the heavy harrow, this coefficient was 0.82; classifying as acceptable since <span class="tooltip"><a href="#B10">González (1993)</a><span class="tooltip-content">GONZÁLEZ, R. V.: <i>Explotación del Parque de Maquinarias, Ed.</i> Felix Varela, La Habana, 1993.</span></span> reports that this coefficient must be equal to or greater than 0.82 
          when this type of implement is used. Finally, for the medium harrow, a 
          coefficient of 0.68 was obtained, which is low when compared to the 
          magnitude reported by <span class="tooltip"><a href="#B10">González (1993)</a><span class="tooltip-content">GONZÁLEZ, R. V.: <i>Explotación del Parque de Maquinarias, Ed.</i> Felix Varela, La Habana, 1993.</span></span>, which is 0.82.</p>
      </article>
      <article class="section"><a id="id0x56f2f00"><!-- named anchor --></a>
        <h4>Working depth for heavy and medium harrows</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <p> <span class="tooltip"><a href="#f5">Figure 5</a></span> shows the behavior of the working depth for both harrows, where the values range from 0.12 to 0.16 m for the heavy harrow (<span class="tooltip"><a href="#f5">Figure 5a</a></span>) and from 0.11 to 0.14 m for the medium harrow (<span class="tooltip"><a href="#f5">Figure 5b</a></span>). The average values were 0.14 and 0.12, respectively.</p>
        <div id="f5" class="fig">
          <div class="zoom">
            <svg xml:space="preserve" enable-background="new 0 0 500 165.535" viewBox="0 0 500 165.535" height="165.535px" width="500px" y="0px" x="0px"  version="1.1">
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AQL4KwIR%204EAEEMCAGnFAAgw4BgQcsIIK9KMd8gQsPRCwA0MMBAEI8EA0cDAzALSDAd8oL4Z2ANEvYyP/vwRA%20gALERwBnjEMdMWDq/IBygRHUbwcrYIDaCGAI3rr4uijMrgolM0JH+k972lofTojlaHVIIGl8KqAY%2004kcfG4gFP8IQXnpgd5v0JXFFPrCCjoMIcNSIgH/OAYlnAGBY0jYASPwRgiOwYkQLAAHKvCGAxzg%20DTL7668rpkQ4IEAJbGBjBSlJwTOymucLjCMUoQh2OCrgjX2YYAOnwMEGdLGAYzigrAmghAnSjA2b%20iRRsPGqM/zYJMX/E22jUsilnYFzHzapMF5TQRQo4IWwceCMB3wgBJX5tiHB8IRQ3GKoCOOGBbxD2%201+rQBScK++BQlDMUXv2CLhxQX04kwQTp/74rFgfCgJTDVauU0OFAdkCJLxwjBkeNwQoSgO0doHID%20nEgAlxPACU7sYOJHlPUGVHBIEa0Q0ZpTNCkjA6pr3QVoH8tV0krDObywjMaKEck837Sxsx4juCCH%20gGMLrAICwJAS5Z1vCDawj2dQIhpR3QEETuEBo0bjCzc4RTT4m4BzF32bAzE1J+C+AoBHIxS6UJou%20vJHYaAzjAulOdziCfUymFoAS/CXiYtka2cJ74Ab74gAGuUY6nAqFTAZJQUL0bcDJZYnfC91sh1I1%20+VCkW4eRrfgvnrECSvD1F5s37AgAS94bpDsEx1QB0B2wgQKE4xca/ukIdBEDb4R2+MHGAf+ewtHs%20Z/wiBKf4xZshMN0E/CIJDg+HIZyxAoevYKc4uD42kqACbCygACvAVNO2AlWVBDYyIk8HSthVU5UB%20Kn9kSJhiLEDyejh1EvFyEimRFv7iKBLlADFQUCqBWxUwEB54RSkRA84wAd/gTNiAHai3A71kCNhw%20CuGwAu3wWAH1DMBGAB4YDjewTElgfT9oEDdBgM8QA+KDDTiADe5zEIbwDCqgWkFRAUeIDd/AAPvE%20d/2wDzcQA9gQAsWHRSt4AzuQAiGADchSKGbjUD8hAbDzDjGDJ/1QIylAJhsjY5uBe5rlYo7Re1I0%20DBNACacAACrwBVHyaiYGHh42Au2lAln/1WEAp1YFEA3UVwCft0UWpgt+BXg4hwYKsAAxwCSL9w/O%208AsxAEPhwAkFIBI4EA0X0H3FkVc4UFbzxAD/QAnHUAGWaIr7AFiy9g+CxURHEyIJeBO2k2gMOBmU%20FHUToHqOhhQP2EGZxEChU0gSxVkG5UMh5SvXMi2OAXtKQ0WmMofEYxfSYxKU00cGExQ8gSukoxMF%20wQB4VwEc+CdBYVs9dBJyMxQmkBgYghmXYY1cood4eFNX4ogrIAEFQQC/cAz/0IungA3N5gHeoAvc%205lfeAEwL8AEr4A0VUHQ2tgEMsAEJIFc4kH7Y8EIKdwrztImh6Cjmhw0JkJEpNk0GGAER/2ZY0zYO%201AcB2laIEQmKbeV/p2Bi38BfunAKlFABDvABCEhCUIc1yaiMjpRGRnE8QpEZKeA0Fkg+mmQpWfRu%201AIkgBJJjtGMI6FSu8ItYMckl2JQyZJRcMkhaKMrtedGOONA3pIZohFGhoQAAHABI3c3PXMlZxQr%200zKBhGMY4RI3lfKNk5JJZnZ7l8U//VZZ/WBGY2SLA/EBEEBm/pCSG3AMTAYBuqBERRcNFRACCXAB%20KsAJYQZ01UcABUCGgrdxFYAN0aCUZCZlGxcCNPYBxxANnDBlSUBWoVABopEEj3cKoYBkrTicFll0%20nHAMw6ACWxUNKrBgKjAOf7UBHgAAuv+AA0/5P1FpNYtGGeSiEwpwATjFHT4RN2C5ODHjXKSDABdw%20E8PgAYZgJYpUNJnRD3Ezl2XiQGZUHHUUK/uCBhOgkOIiOpACn1imSe94SGAzFPUzEFvpM7d1JQCw%20ZJqFEo1SJrtELa7VGJBjCOMwdZ1BkC4GNg/kDO3wNQrgZTkxDM7gZf0gPPg0As7wARNADwzwQKP1%20D9dBAARgAmgwPFx2HAfxo0h2PU35ARuiN03pAMNzHDliENVDAO2wA3ySAiPwAQowAe1Aps6ALEzJ%20gxDgDQb4DsNAHBewGuWZP+eZQiw6Fp8SN99xDAlwAxkKPSJRWjOzLZJjQ0rjAQZYSzj/MAy+QxQC%20EUt8Ai35YjcX5EafgifNpFuycxhYORDjoAuc+Y5c50g3QSbYoAKZsaI9ES7rGRSX1g/D8AxMqU4O%20cJp1+A9fSC3G8zdYwwHfcArCmpCkIi1XkhivuA8EUV2a4aJ8GJYdYzD+kjCOAZ92YxPIMg6TGhqF%20lBPDY2kp0Cj24iOLU0Fz2DnJsjAkgRkP8w8rSjci4QDh5gDGYxZ1ujt3KnX6pqd5QwA7FQp/BQHD%20MA6y9Q3uYwKruQO/8w3fACUVsAIOUCME4AG6kCO6YF4cMEQbUmff4AEMcBIR4FMroFy64Aw3IZi6%20YAgS4ABJ0LFIJAHfsAIKIJ5foALq/8AAK5AEfBIBCecMzLOdKfABuuAB4yABw6ALIUAAA0MA3zBP%20oIYGHhACibEWE+AADLsDDuCxyuUA9GAISfABoFcBXxAeMfAOHJBLQsUBwKoLGaoT3OEBVoUDxbkD%209NCzDLB9FXA8E3sD3nADErCa94QlzsqHWfEBKWCVmeGrBlEmWJlTnxMS7WAwxSEqiaI2Q8o+KAWO%20I8WB+lIqOREuqOMTw+OhNaIqAuFl/6AA3WoY0eJ0UKmAyKhdlQGfIAYBCKAOO+WFv2BUx5CxVqVj%20A7YBz+ABx4BfSWAIavdpVlQAFxAKMQQBVHJjbdWEn5hKC6Z2FcABikVPVuQNhXVg/P8FdB+Aar24%20AQuADeNwfaxkbiWpd5TQtzCYABAQCq6lREL1BfL3QpzwDFkxASPACQtgvswWCsOQAAVAADz3ARsQ%20Dt+wAEmAAxAwDulWWAmAwAvwav8hEkERWfXzDdhATFHlbM8ga98QAYvnXbqwD8dwCjIEFOParJVJ%20R7lXGeFSIwgQs7BCUh0FMO+IEwWRmT2xIUnwJt2kTqZSEDUyKWVTUpFpqRocO3YzfwUxAc8QDoKK%20LAjwKkDDLZAmSiLRDvvgPvuSAvtiMxjEQwbFAeqwAxdwHG2snCIxAtPFllrBxfQQVw5gKeBjGHVC%20D/DiAW3Lx64rFvk6lZGBbwORa9j/oBOMOJ4LUAESdgMbdwrQdAO/cANogAYzmEqOiA0UGwHRUJKG%205V83ME8x8FcVkBURQHT/uwB/tVWXLFvnFQ0rUJ3kpUz/N3c7Z3ID+GsNDAEVUH381bQe4A/9R3A7%20UCPcFg7sZX0LkG7txXLeAHGXnGLUlwAR8EIgdgMV4MA3sHSm6F+nUHwUi3wocTxrPHwAUMuhsAPa%20hHr7MEuXfH1Ry1MmgA3PQHmMUTOVMbiVAZaOEsxeRctF+w/1kxOltS+A2cZAoQAFk7qj+1gbkksM%20dEYmgLpB1A/YUADtkCr148cp0StvFAGl20MckBjQt0wEULLbg0T9GAErECX0cAE1/1IjhmBNfokY%20F3AMOHAThqC6yXITSIyVtIJkNnIBhsAJNwB93+AMR2RmBdxFKfBkJlDTGmrQL7QBv3DAinE3DhAS%20PDEC0RB5hoAGl3avX1HIsisZPhSvOVZjNYtf/9DA6QfMLHkDC+BlN1AAOOeDCzA82RMKK+wNK9qQ%208+SvcOUYUjYMMARMSvjXRkoPoRDBY9V9XhoNxwBwb+aQkxcDhuUP1bkDGxADrQiqScAJujCTzQUA%202lRQo+l+KjBECqAwIIYNBZYEk8cAQZfNtksJN/ANHnkDzeZh/rABOKBXKZAC3uCQZRJeG8ABOw14%20wUYAHHDclhwD5pe6C/BZoSBqof/AE+JKGf5MGYbZDlcVArS2AFALAQWQXnMtZfzrDPLryTyHA0aG%20nZywAhHA1wAQAvOrC9d0Cn6KDZcmAYawAKk0DDdQvP2CndpJYX6aAEnAARWAbVg0ed+AAH56Cjvw%20DiGwVaEQ08kZATeAbd8wDigGAcuUPMYMAWB1CqFaaw6gJ2jgpxCAzxQ3AQXgAbglqgsQDuRWATEQ%20A1TCc9P8DxXwQqkMKIrRpvFUm/s52c/wDeEQCvb9D+L2VgSVQweM1l6h1ukJGagjO+3Atwb8VQTA%20t6eg5EEVbgq+AOPAAZGlTThQfC5+Cs4wml0l2I7liAwwX9zyVzgwbezNAL5WnAn/kOQQIAEgZ2p+%20ulii1lfgVm7HGQr5nAD7EGJ5Nr9LuNx45z4YRlinsNwKp4ozZBCMeAMsdrFumn7pxwnDEGLcpouU%200FV7d3Bi5qeUQCEqMLqhlmMlfn4B1g4XcHc4cMm+NtnVfMkNibp/0s8xnFkFSRbcIhBiq6r9kGZD%209AWTiEsvlGLfcAzcPgL61H1V9sx7ZwijuXwJ8FffEGwnbIsAQADBl34zycxAFw3hoAB453448L8b%20AAE/ZWIeMG34hekvRMnm5tuOSHREHoVehbpwGw14TU6vdlTT5QAL8Mw5dlR5ngAMAHL7IEO6QGTO%202XeqaGBwy3Nl1TVGu9Xt4Azh/4C+z3QKVlsAMZlmOKBYgYUN4bDcXm4usBt1hhwZpeEYCJCSnHAK%207qNX2KYL/YAGp7C/EuABB0wPKiBFx5AEEfDhEBADJK4CKeABGwdtFYAD41sAUdKgzhBuBPAMgm0I%20KshsK5Cx0VRMMOvizzAOLYcGhjCJp2AIJgBU3xQKBBADc4IN6LVag+5XHzAo0DfZTJSSxxACPPEB%20fOcMBRAeOLAD8n0Mx9BLOKALO3AKaKAL4cCz8wt5ZvhCI2v1UdIOoOIBIHcMHrBuBTBaMVCbmY0A%20xgT6AlIAO78CFFNS+0oW483WEHPtA8Feu78BtfR/QnV97PR+oWaJ3vdXWep2xf/7C4lBT47ocx6G%20ELKGAHcXA9X3V0Ex48VpCAlwDHw7PG018v63itoGV+0wmnk+wtAPEP/Q7LgRjtICNOr+qaBUwdCC%20ZwW83ThFyUG/CA4W3BjhrcKKhhtw/EvAaQenGCs2eHgGIcYvB/+inXrmrd3DAv3+AfhnYsevkSE4%20edNVAOY/DwW/xChASYKzXx4cFKh5zN9VrFf/beXa1etXsF8VKnTgzKu/rYYqpPiHNuxbuHG3TkAL%20wATXC2iutjsVDQGCfxL+cdgR4V8EQzz/KfiQgsOEf8MiTFDnLwK9f+MUbDUBWJ0CzP8gK7jwj94w%20BOPQRviw9QI9DhE4bEVjiKv/AsAA0FzAGCNUqA03TFwALLD0v3YEZJvgKaFfigkI2rUlsFlCBJ7Q%20+zHHKLjdBQmCL5hIkdiE4X/EQ0u4YBs5gbuBef5VYBhAOwnvIjuQMI6rIcAmMIQABAxRZyzR5FJw%20Qa768SeJHfwxwYMUFNOJQQzlEiwwDjiJaphQFmCggAVGwAGiX0JJ4gYOjlkAgQg2CEWXX2LAZoEV%20RtDlA0pCUWGBEDxYQAVsfrnAA288uDBEAqJZQJcVvonBmxCkJEBGejiBQBeiHKAkHF0oUSGaBEY4%205ckFYhDymBF+ueGGBSr4ZgVdhjRqh62m1KUCoJ6pMSWufgoSphg22CeaUELo/3GYL0NY4JtTVloA%20Gw9+eaYmZ5C8oZ8PiosgFCojkGiFQmuTEckYYlggiUpxKACCIgvIKqsMM0SwrLPSWqutWnvtCrK2%203tFPp+YmSAIb5g4TbFiFtlKHp3cUU0wdevpRrK1mtwLgHWu3YmsCCZqdQL+d4hNMHcC47ecCtGbb%20SbF9wjklBq78AcAtYPPryS1/KttKArSW/UendgAgNloO+hk2Qa8AQADgf7LVFgDBJLg2NLfeYctd%20yPxx1734GmbYV18dhFBCCi0keeXA0IKsgg2i2YASXcY55pdoKLlhgmcW2KCAHWKgRIF3gHNRhWEg%20OAiCDzg55YJQKOmxHWyiOf82mn0UmqBIHFTYQMYdEFCakgR2CCUBqMMZ58wFOCFAFwh0lJmSEEwo%20gJNovDmGgCEdyPmXAlZY4BhONthBgtlyXuAXFUaAIGZdLgNghA1iqMBqr0co0sNjHEDJg2hGKCCU%20D46hZAOIPjjxl1MI+AaHCMWDwGcyHcCGEzToSYASHJa6QGZvolEBhw1O+cWqWbViGa5bzerKLbXY%20cmt5BnlqVivMVtvpn3cE68c5hgEQ1y22eLp2gruA5eCdZ3l1v1kT7gLAXdHig0y/a0WjeOB/CNgp%20vLagZ0Pb0Zaz/IG/reBPYqWBmL8UI5ji2Msf0xGWaZolGH8IBljqEEzCEoT/nvjcJQIKMYx+4jOd%20w3gFM/mjnoJMFqEJVWgrF2phhkJzFwSsQCoDS8AvKpAE2wDAdq3ZQRICgwAdOWMH9AAAnQyzjyXS%204xshYMsw9sGeEVhsKxGowAg4MA4VfGM6hghBCPBUgdY4wwET6EcFIpeebwDmIztwWFFwQLYUOIMB%20/9iBB0IAGwZ4IAkj8E9P2iFICP3DEDocx4YusIMLjGMEBPiAAgBAgBF8A4oPUsA4kkAAQzjDH4b4%20hjO+8YHoBOkuDogjV+4ypxEAZgf7CAwBkvANB4znAx5wxggMIYEV9FKUyZteDbvSvFwpclfFNGYz%20ndlMtEwHPf3oVrN4IqF//3lrMP9AADbYopDyaeyZ4yRnDV+IMhnyr5wZyuBhCnAKFq4TQ8NiIfjQ%20YxoA3ABvnHCeOnSSvgKm0FnbGxi55HlQhA6ULM6rl66kl1CIRhQzqUmBAxSgE3o4wH8OGwEaRLiD%20HdjmOhxQwS+oaMXZoHA8EWUpQs8ZQ5W1FCw8oct+ZKqg6U2QA+3k3nTmh5kIjGAYGMTMhgLzDoxt%20BYVeidZNncoyZD7Poe57alWppyilncIEzogGmZyBgFDIbAUX0MUxEIUABShtccPwHARCwYB2YIaG%20VqVryR4Ew5TNsK7aMupevzI9oxZzQ4ZRyHWuIxA0nG8w09GiP2goMb9G1v8rUW2oMh8qWcyGRScq%20+EICmqICozQFVt5wWggkoIvhmZRE2JDID1XAWXpx5Z6ZpW2D7orOmNLVn87qFmbnupPu2AU978jN%20v3RRthBUAHEI8B9B5Xcfg+mvtpil7Fagt8zpZtcEK/gFnhYQtWiEIwHPSIJZKVGAFMTgGb2rAAQ4%208Y9v+FAFNzjGUgKDvuxm96V5VSddNwSA0NRWi8MoiAp0oYtwxER0MYgJAWx0kB2sIAQXCIEubsCf%20b9xAvZIJQapCEDEt5reu1XVf9KgqYskC8wunKOkKCveMGDhDAQXoISWEFgo/reBM2EjAF7DxuCJh%20g4t3KSSKJbvfdP72qWj/6W1f9yottFRqAZRI0S8S4DlOnM4BNdkd1s62j4ik6AI9BlUBTIAN021g%20GEbeK4mve1k2t/kfIfjCBjhxDOYWLhTfYIB7IcCRUySAcB5AQAJ8BoEK0PcYG2jcMYwYzzhXFcm5%20rWu4OINZAABrKyFIktC+Qbgb4aAiN4AADuhRgA0kgRMFQMCBN2CkSKGBE6F42wogABOsRNqpbp4q%20M3XtVJ1MaQW07BcHKoCGiHFxBK7ZgQMYEAEJmCCWm0nBCHKJgAs4IMC/puuk9UpXg0nLoJLVtD+E%20VIFKOeMGobiBNxJAqn2QjQBNMVsosLGBcDyuzxCQQCgg4IENPCMUv3BG/z/Axe2W8tqyJ5aLv/5l%20PnKlQCEAkBb4uN0PhVRwYlHGQUyUjPCWGpSDX6EYpOPi7f6CPKGKYcs/6vSNeyehAKErSQLCYYgb%203ToaFeAEjAeXZQe4FQ0JSECdjjE7BmAjBi1XOUIVbmJfKyie6iDX97bFLa5sO7v9onjU34EWEQ5D%20J05uOjkvWC11pEBhCnELgDnAgWuZ/C0o/3jZy0mtrXxABQTYgQra4QAPSGAHBQjHNxQZg+FRSCpJ%209wCdTIDuf8gph6/FBgdWsILZ2t3sEfsHrqS68Ki/5ZqU8da5IAMApjf120bGOA0zbbADKU9bWtf8%20Mw/e32nN1NIZonvtD/9qretdCIVsTOCGWl5UYtFjOgq5S9qzmUDfy/Pp2GWQQTFu3a5EN/u7F/Fu%20GyR3AHIPstFvpmLiV1jOXN9eEqCHNXl/W5iunvzOpOYMNX3MpU6AHuCKz7i5MpsD2h792wp3oZ/5%20M6bpgzMXii6FcYtkiS4T0BfrGr/aGheHu4qQ0T+e6Idq6QraO8CV2ZAQAyedcBCMu78DqZXeA8Fm%20ypYDKTkGbA4WChmauou7MDheUb/QY0HqSUCGiwthkRgHIReyyxa5qy3Hqr8D0jQJbJmU48GVSZbB%20uCcH5B8JKBh/GBcVhD/+qjsoXBn2ySbSCwzkMEEOoAd74RXrWT7IYLr/tqApgPmeL2whH9xBuOC7%20IjuMD1AIAmAAQzg9stMu7ss062rCtjOB+5tDktHCYQiHAtCF6XCsfcAGQ+iHEZCXEKhCDFlBRezB%20ueqYntgXqeqW32oOgsKmwbgQL+xEBanDeVqMmbuBzQiMcDgG0kC1AjCiiFGIVYwsDxgBBdiQDNoH%20/7iAb/CANaO4mgIuVuwV9LiAFTiGszELwgAVXeAAf+u4AwrEk+PCJGtGkknBh7u02dgWrsAgJwOW%20+LiQ2WK6dnA4cLQVzvO8yoI6MtQXgHGX/Ak2CFAU0/oHP1kAAricptAFBNmKK2CHK/gHYhgAh3xI%20QRCEK5hIlhIMc9QF/05IA2gwAx3oh0Zwg19ggDpwg5mAhTLAkIiMyH8QhJVsyZRUSSikuHHwLEPY%20AFdAgQ7gg0L4hXNYgk2IhmfggzLgAly4AxI4ShJ4SUHYFpYsIE6cHoq7EC3kHmBZD6XSRw1KC4wS%20R66gOrYjJrAMS7Ecy6tIBbM8S7RMy1TwAR8YgGZgARYIABaYgzKwA3DggVRgAiY4hAGIAjYYADUQ%20hAiYArhkAX+gBjVQA7JcTMZsTLFUSshUSsd0zMisTEHQicq4CjVKJns0KgC4pwqKtojpBxxIAAn4%20s57YB+IZBgZIADszPG1BADTwAkkYB0ewBTPIBhfIBjDIhmwwBC8ITv9DGE7iLE7jPE7kTM7iJA3U%20II0PCAUWowREmIMOgIYvoARYgAFNsDdywAdQUk7j9E3fHBDyBCUCEM/fBE/1XE/2bE/3XM8dmI4d%20gIACcAZKgIY6sAEdEIVKgAE58AY4GAVaKAEAIAcTQE/0HM4L0AKV4cT6s6664Apz1KsLYYl9uIzp%20QAMV2KMPYIo1WyHxsUOWsszI9IEoGABBKEwWaAcECLRioAYeAIIBUIUEUAVqGIAQKAByuAZccAd/%20gAc1iAIUI1HIHCciVUrzsa7N/Dx73IpCYq4K2Idcwr6duBtn+LMImA6Aw7kN0IUNWAF91Aw0yCVD%20IA3xvID2QFNH8AL/NG1TN31TOI1TOX1T5fhODvASHECF4PCHEmgAPviFVeASOJg1DphTQz1URE1U%20RV1URm3UNkWDYeCAGXOaaOAHa+ADUEiCSOgCfaCFUfCFUOAFYJCEDsiGOFXQd+wKTnyXGZIY1VtG%20zJjPvliBrWAAD7lQt8pFuWqLUqQ4X/1VYA1WYR1WYvVVNUiFY01WZF1WZWUCeAACouQCd+CCfxid%20adiAChCEFPAATviCEBAELYAAbzCFO7gDXLgCfzDLYl1Xdm1Xd/1VYohXeZ1XeiWGd71XAKhXfZXX%20FeIKa+PMZRKgw1MaCLA552m+CjibMlkBFYg8SiCAoDsFTtAF6XGQ/3/wgmGIlj8ggXogBqQ8kH6Y%20gzmgJpItWZM9WZRNWZOFOJ64gGMoADhQEUm4BCCggEiQBFjYgBBwq4FRWZQ9EKA1WaAFWZ8tWqM9%20WqRNWqM9DJ34gBsogBDogCKQBi4AhRt4gXkQhVGIATA4hAyYg2toBhIY2gMhhmj5rVWlOG25EK7s%20StHoh3sDqwTgCaFYAGfgkwQ4BWRLVdSLAOg4D3wN3HZNTMItXMNNTHh4VmmNVrEZAlvYgGoITNGh%20G2AQrw3ABne4g1bAB3y4B2oQXNANXXjdV30V3WIlXX1NgQDcin9l0mVykGZJAhtRgBGIgVMYK6+o%20gBj4BgCIARZptf/WUE1CqxedaI+mnEjkpciVbEqWcpkK8IVoiAFJgAY5KIMd8IVzYAdr8AVf+Abm%20jccWkgD/0QMPAAMU8IFDKAMQuAJ8cAEfyAASENnkfQt/MNuB8UZKc6wkrCxDMiGuiIFo+IfShAwu%20wlYhUYFSS5Z3kNQdqA1DGIYPiGAJnmAKrmALvmAMzmAMjoUGkIRY8OAIZoCz2QVKwIZ4CIZk4IdK%20mARj8Jnv2gFHYAACmGEv0GAbvmEcxmE02GEe7mEfzmEgjmAfHmIfVl2Dat16pD61kxB6uIACKIAY%20mz3+6a1c4pcJAMCAohYFsIW6QNcrEFmRpSYSaAalLWOUjZi6QAv/euAFVCgHUIAGGOiAMmiEOkgF%20VpADXgBXM95jPu5jP+Zjn8rDO4gAFECBN8iAMigDICiDDPBaEmAFLgDjkUVZrGBJTmwWto0AiB2B%20D+grDIKv8OKEG4DYf2CABfAAArCxUOCEWeRAQ2AAyUiBy6AHWq5lW75lXM5lXd5lWv4DX/5lYA7m%20P9ABdiBmdmCHcmCHP/gxaRyBXZAGAxAHSmCEJKhFbygANHCM6wCFWeZlb/5mcA7nXhZmcvZlcT5n%20eijncu5X1o0J15WekPmXcJi1ZxAlgvqeDbkL/cAPpTLHd4iPA8oGBWBJLvji5F1IQTjKiLqQ6SGB%20Q9ABHTADEkCH/3toAh8AAiC4gn6oBxLAkPkFi4+GQnJR2zK4Am5IX0WWUW7ggkRm5Aw4aOSlJq1g%20SUvG39WTlq0YBl34DbfCBjQYwLpYlxhIABXou6dBgwKIiWg8hc2IAPIBEFX8Y6lWWrm8g3Q9ywkQ%20BGPAAXFIhgIwhgCwAWiWS/LNh7MUhDuIy6lea7Zuaz9O0rZY0iSWHuJDjm35MRwIgQ+IUHJBK54K%20GHoQDAKRUADyTYKGaYRW6ITqFzTeiXcYg/gtg3oYAFZhS4zWgX8gAW7waOQNi5AGwdObi60AgTLI%20h2L4gEQGgqMshzJgBUa2An9A7HpRB2Lwl0sWbXX4hgS4gW/4hv+IoJCB8ofQ0Cj4+jDxNQ0+EqlW%205QBDuIBhmUzojm6xhMs7uIJU6IfrvgIOiMsAwAV+aIVkCICwZoFruIM5EIS8VEx2gEvpbm/3fm/4%20FkvNQmPNdOe55hVL28AY6LlnwJO7kDi7oK9w8CmXOwZDoAcPCIUC+IASrBiB7uh/+GJopUh/SOh6%20gCidmADFwBguYAUQKAFogINYAAIQmIF5AAK+9GiFfFtB8Nh4RciE/MKWw8F+mIcZyIUCEAUQAIET%20n0h2WGS29AeF/GK6mIOBER+vWNXpueLUAC2kCZCBkg/OEM3MCEV4JJcJGIbS8L+DciyQZbJicqx7%20sa4LEe9mGID/DIiCKEgFf9ABuOQCEmeCVOho7g6A8yYBh0Rr8Y609mlejPMnfnmWEN2er9sKuabS%20Jt0WG0S1rtkj6FuIaCC1wPuHl1gAtaAECAiHNTugErwAWyCGfxDZIf9iI09oEojvxpTQC2SFOQCC%20GXgBRBgCUZiBGSBxEBiAU29M5GXKFk9JGEdXVA92YU+e5nAPgAGBNYiBadCGS5iH9Z3I1mYFtryC%20ZP5i+uVFm045a7kQilk0dkMD/6A4cbwWc9mKoiIPgNGPq5AALU8Qsn13eI93eSfbsKCVet+KsB4D%20NM+AAUiFf8AFFnAHHcBoIDjWCbgG8Z5LZE3MVHCHsJ53iI94/4mf+KENw4GBR7GgeI0PC+2bbe5x%20i0MvsWWaccjohyQgunDwbxR6B0FLgYAbjBAwHQrTmwKgJYUZjHH4AAeQjjbVAp8HBmAYhwiIgNQY%20B6M/eqRPeqVfeqY/+gi4gMtAjAHpgDnwgnNABFd4gAcwgi2oAzbogBLwzaZX+ggABVm+AGDQAjNY%20+7XHNuB0hLGPe7mfe7qv+7nHDRMoVBPYaDuAAUx4AEwggy7QBnIgALb8hw7wghIA+nqoBzQFhk4a%20hzMUwmyfq35h6HcIh1BAvNmylmsZIATgmI5Hbm1RjieUJw2nQH+YA4oD467rCvEegwyY/QHoB3cA%20+BnYBgHAAP8MEAABUIYs0IPCzGx+J4E72HMR60XUBwAjp1/WJ5YLCfk3a4vdkzZS2YERCIFw8ICI%20kTgJeGIE2NMM4jkG+BGAw4YAm2EHIFMFMAMCYIZjA4YyHc4PeE/7R85Hqg8F2I0IAIgOojj98uUK%200wM6ZOqAaTCDgT1DEidSrGiIgBdDFy7sU+UiG8iNF7xktGjyJMqUKleyVCnBwYcUFzTuyOTqASZM%20UkJVqgTBzTlHrIYys+VghC1gBLINU3CBA4B/Uv/185dkhz8THlJEpTrV31SpAEyE21AABwF/6lJM%20NSHVgYoKUt/9G+cBQYR/Eb5doKoOwNgPfSUA6Gf4MOLEihf/M0YMWB3kyP78zals+R9lsFMDBBiQ%204fMAAHdYsIP1aEgPQgdUZyKHKwCufqkyqCHRjHPj3Lp3825sGQCXCRIm9C6uG4Dl5FL7cUG+/B8A%20dYZHOAiLWaqhCmzBTqD3FkeCUKHC65qq7t+3DQkSfAuR5F+IDUcTnIqGja3UCBMkXeKi5VAGTaAC%20DSqH1MPNHFfoIAGDDTr4IIQRSujgOylMYAICUU1QCCU/ufLDAyFisgU1QOjQhBUTRshOBCkI0oQK%20iLjgwyE11gMcFyrquCOPPfrIY1//IKBXDNFIYUSID4iwwjcrSLGJJgWIUgIIGViBCDQuDGAgN3/c%20+M8Vc3BB/5VVWGnF1XNSnYdZP1RNUJ8KulwggVhr/uNAAcckMAJmBBxDSXX/nLJABXROIBYBebVp%20HaONOvroo5OB5Y47d1h6KaaWUvraPySokYo/dwTAwhyBlHJCNzQk0s0JQ+QjagB3CDIArYJwBimu%20ueq6a1hX+OqPr79KOiyvxYIZrKRhWhbsFVEV1o861FmnWXbbXdeVITvoEsM3Q/5jiJoT3PBMBQjE%20UMA/w2CTVwWnhPBBWFFd4sgVxHjmghxuyNEECYIEayzA1nU11T4JUFKIF6jAAGKIRtDxARAdjHFI%20sVeMKcgH0MCBime0EoPcHAGLPDLJjXY1AgQLhDIEwzgZY/+PFfWA4UovlIzChwtgwPEML1uS0K8g%20UoU5ZlVXZbVVV4t61c8EzkZQFgQFoJHfP25RpQIEFYRSQAT06LLBLxWo40w0vzgwcNWC/UPYO227%20/Tbcccs999v02D3cmpi6wwUu5ehRDi7v4MJFpZyqQY0a8JTDQgAR5LKaH934QcgJT3hyBy424EJM%20FJ0TE4ANdIs+Ouml080FO+Www8UckzHLrOmxu10O7eywk6DFuPvDRQpd/3OeWtKGRa1210lFDwf/%20HDoVXV6tLRWd/Tizw/NVezewP8tf0p8gGbxxDiKIwFCgIFzoAERk6au/Pvvts0/Y8SGEQokcVpQA%20BTS11BL/PjZFOLEGEOqAAvexTyqCMMMusCE+FzSBVv1SEwEjKMEJUrCCEowKAgrwC/ZowwlVcIUR%20EFELKFCAHf24wxxKAIsnSQEa4tsFGGg1AGIQo03/KpqZkJamqQCGKmgIwQ4+wIAKqGAEyYMOANQS%20AwhIYD0Y/JoHnFGABETjPVIxwTiGUQEHXEABBFAAGMMoxjGSsYxmFCMBCKARkRgiD45oBQHg2IoL%20yOMCsnhjHGVRgg6U4BLCwAco5CELRsRACieggQY0sAg/JOIAymgFKUghDwXYopK2iMckz6jJTXKy%20k2dsigJIMgw0kKSUpfQkKsOYRi84opUkcQQrS4kRDqhl/znC+wp2igcWbylvBztwgC+9VRgNUaWH%20baKTt0wQFTSdhx6s4N4A8OUK8MHAEuXTQRlKBjBn6WIBELiAD3zQAH3kIwueyAIqlkCBSEABBHWo%20Q7GiIghnIEIV56gFNGBgiwE8UJv+/Cev9gEBSqigbR9Ywxq2sAU84AGh7pjMHIAAhEbgQQpAOQcc%20zuEzQZDgPDcs09HQ5DxGmSAEVDwGBFJagah453f/UMEGnLE1CVwgBQ6gRAUq4E1vHINOhrqAMxjQ%20DryMo6hGPSpSk6rUpR4VAU41xAccUIFvUNUUFVgFA1ohCzsiYBirqIBVKUABU4giH7cAhSQ+sYAF%20SIEQfv9YhCL9kIMDCGAKBuiDLMZhBx6YwQyyyCtTAyvYwRJ2qaA4LAdA4Yhh7CCnjnVsYSNrVEco%201gtRnWoSplqBETDAERwYB7Sk4o9bijaX21GLP+hEtgX8YgMb8MBcJKAOzeQlKpqhk16QqJnrtKIV%20rAABCLCAEJy4Ih0z4EIArNA5iYJgDix47hTOB9zOWSEDdyhDGYAwLOxOxkpAYMUcmvHOBlAgGM2Y%20gjU24QYudOBR85jBILzxDaqMqhFvyEAZ5gGEVMBDonNwxxveEIBkuCAQIvgBgqVAiUoYowm0AQI7%203OEZIIBAv+HMwD8oLNFrsOAKGuZvKoJ2hexSGLhAuEL/M5oxhjH0y1f/uEOKgeuPDISzGf6QKBDK%20QCsrjGEeIOieFawQqwqDAB4DGEMb2iAEIeCiBhS4Bi6QgIhNREMfGgYBY+IllSgY4cA/MAIZwKCs%20FY9hABIlk9HOlDTzdAUs/iDAN55xAxUQoE3X6wddDPGMDRzjAio4BQDQAIFv1MMBIYhGCK4HlhQM%20gwNhukIqUkE4zuDiCmrIQOcGYCsW+IANNvi0DXyAglE3A9QBaIYgOEoCzoyKGM1Ihg0a8IhEaCAR%20OaDcI5QxBiQEoA2CQEYmDvCEA6AqB92owhms4dpixGMXNKBBDnIQuRw8oQVqmMPicPFc0FGBCja4%20AxvY/6BpzkQhAyS4w6c7V+pu24AFo1YDEAYcACQwIQqc4YIayh0FNZwQNne4wr4ZdwdPqYGfzbgU%20Rz3DgwyYjwVcEEYXupEqubZqFmwoeOfUIAh/PPe5E0jFANSQYlRHGrsbH3mqBcGOOzCBCWIoAiN7%20cIBFLOIR6SjDFcTiFQcECpff0uU/jjhbrYUCB5xQwRWnMg4VFGAFhaGTB7Cxg6hUIAbD+N2hxhKP%20eJQDBMIQLk4esIVRFEEMyS13f0HAhY6TSsPl/sx1s7vdMnQ3A0BAnXjrQIEixOMVRfBGASzBBRA8%20KirDSEAlItCPKbDgDSjAL3DhkQoKc4ELPrBCMGxQjP8nINgIP3DFCgpQiWOAQQ3zAIA7DsED5oLg%20whkGgURZgIsMMwEeJQoxmEgMXNijWMUs9lfOYdwMGdPYBzbGsY4HEOQKC2IMQY6VhoFw5F4v2QBO%20cEIf5AGBTUCDA8D18S2GNay2qeMd53mJETz/ZSyc43ZcIPMAsIvmHIpUadBpmglMAJb8/6Ol0Bue%20ITgAAYzDN+jCOEyAUKWcA/yBIJyf8hhCBIgJpOEc4zyXP+hbBgxAP3BGp9kA6ISaqKFAqdkAFZxa%20qv0Mq7EAMQiCAdiAOAwBzUWbajyBKhwCEgSDr9lBJgBCahBCtOVAHIRBLxQCOKRCG+xCItiasbEK%20IAT/wQDgwmi4w3N9GruBGwpoHAdGwQCgmw1EARuMAQl+mruhQBSAAOjMGzVQgwd2Sgawwb4Jwmiw%20wL/VBmygmhYOAAMiHAl4BqZVnrbdT6pAWw6cwAF0ghrwwMXVBjH8w7axwATMShTcRr+kAnaVwcml%20WMpZChG4XBFI2wHMXM0NAgiwg861Cc9Ni2ldh2ZcQFTERzRAwNlIxfJ4AATUxwhQHWsxwD98ACXg%201NoojSVYwhyAwAtUgxFgAYIFwjNEwh5AQxP0gyEgwx56Tx28weUZCH/Bw8ZJSjPQSgZu42So2qgB%20gT64Ahl0QRpoAiJIVCOgQJZNhQP8AjZIwB10gA9k/8AheFgZhNMhTICYjMErBIA0hEIQYAAyYgEM%20SAMp8IMmbMA2wAMSWEJ1XVk4WeOKfUaAZcDkUZiOWcHlVVcGRpptjByqcVRVxKFEkYCV8FgzVCLd%20pdgYAIGRWUEbCNkdUFjLvcNt2ADIwYArwAAdRIMv8AE2AcE/AJ/4SQqjGIIKWMAPYAEWbIErYIMk%20uEN4lVn8GSUOhdSaTYUE7BY9DEMEPAW4AEAENA9Y9ENUSECbjKXOraAg1MNRtolbcIEhOALuwINe%20soM/2I4/4ELI/ENlgAUJMME1UBoItJxe7l7LWcrPdNw/aCFnvEAp5EAixWCr8AEsiIE+3IIAWECq%20LP8CDcDVIrhBOFRAjrEAFTBCD/QAHMBBEARCNdzAwQxYp3QOpkVBKnAGpp0bb2aAILDAp5VB8UkU%20yKGADwCBO5jaHJQBF+ScYM6BpUTYvwGABHyKBRJDiDUg28nhUY4a4wWAILRAD0jOWz0bIfSAFLLA%20NciCHgCAjuWbpjFiAKxYMxyLr8Thc8nKP4AOG6CAAzwCXEVbIg3BOdwKdOxcz5XWz22HoYRFBJxL%20DPhF0LUJDoQCAlDChJqALnACJYwDATwDBHBCdYAFADwFL/ACH2lDJpCBi5JBEHRBJxSBL2hCBTAB%20R9lCEwSY4zXBIZDABKBDKuQf7eRfjdQIN9BOOZj/ADcAAzA0AQpcgjaQwRZYAy3IgQ/MQAfUQSPk%20n5d6aYtEAAdIwA0sgAfU444eggTgAxA0gQ+YAQDoACuMATAYwy8cQyAoBBaQQSasAD/YwDpEwwJ0%20QZA1ARjcAoXdAo++gRDUwyG8QSMIgQtowTy03C3UCI/66CH8ATVwwyt86qdyQ5f8gQmUwzVcwzzo%20AKYKwafqgKvSgwmAahoewiss2StcAz7MAzXMwx/QA6yhgx345Ba4gS8sgUQd1lDNid0s67JyQARE%20gFMhgDPEAB3sKRlggSuEgykMxSvwWFbOH1fu0JpURT8kQQK41is6g3XQCQAkj1kqj1u0qwTUQ6oR%20/8M7BM11TMAweIGvcAF2uVioXIpg7lakcQZ7ymTL7V6FMYF07mEFQiJnJMEjIBLN+YEfHAAg0MIe%20REIkbAAgoIofPJsGqAo2PCPO3UG3EQERRME9qCw1XMAR7AE/9IE/5BsG7mYAdI5vBgCmBeenAUEU%20hJNxFp9zwpoH/ltloA4XBOylXIE/WKIgSOE/1MN2MiLb3YE/CMKosdorIEN5hqwGRA4hhoA44MJr%20yCE6hFzBCcIGsoB9Pm0l6icL2Jg/fNqoqcIzxGA3KNIBLAPjlOKdLKjxVIvx5IVUIEA3rZUHWM0/%20vIMEFEAocAAnzOM7AEAIwKIKRIPBVIBaKo8CGP8CKpzDJZSAKLwAM5zDOeSDPojBJcgDDPiCynhA%20K3TAJejDKvCBPlyCJMiDOKxDPOhDLDAAM6Qo8RIvMzAA8NoCM8zADKRDECAEJpABJAjDC5RAEywB%20A2Sv9mavAgwDATAAAlzAAkTDKoACMziAPDCAOMQDQ+EBL6xCLHCAMQDeJcQCBgjA/Y4AOfDDOgQA%20A4zCHhyDJbiDPjTAC8DCDDSAJPRuiqLBB/BCMOxAB+jDIBRwA4hD766DBq8DQ6Wo+m4vMxyvJIxw%20iq4DM6wDA/BCCB9v9kpC9uLBEvDCOmSwCjODJ3jCDuyuH3WC5+UEFtxCCTSAF5gBGIBBPDgAGiT/%20sRInMQGggVMQwCiNwDZsAzoxgzOswu7KQzZogRUMgIttpZrt0FS0A52gwQ1sgHi8llgw7qJ0xXC0%20ccoFjSAMTFjyKxfsQBIogx7rcRKQQ7exmw0owDe8ACETMizUQB98mqzIEAk8V6RNBcCxgXTmQyfk%20ACKF7VzlQgewgpNVwxD4YCJZ7LPBgBkwQYngQrdJFAkGwDXYQDJQQRz8gjwAwAB4oQ94YQZwxs+M%20Bmfwk8+22xWEEzxUyZGxpxjkgjJgAAYoQzqgAgFwG7uRwiqogjJQ8zZsVjs0bshYCtsZLM/6AGeY%20Fzw8AR2IssXmwCOEQRxUQQ1QgQGIQxYkszKj/4IptDOtYEp3dpyleFunqcIQhLJl1twyfBrgnuLw%20pKKJUo0JxMApcMIGfENLDYkJrEAtQkASfAOfZO4IeAAORMMXqAA94JbyFDErwIN+eYpKwl4Z4IM1%201kIlHEwH+EMHwMIzNEAZzAErvMYrSJQ6kECQIUGSIQGPjQGJDUA9AEEszAIMPACCkQEGUAMIzMCM%20JOVkYEi7IoA6hMAvxMAVbMkdSCESoEA1vkFlrEI09AIVNMM8BO2oqUMecEY83AEIdII39IIY3IE+%20QEEXgJc7cMaKWUobNEMeAMELFMEL6NcHckaKhROPPZdVptguq0NlBNkYjBz89UNy3EE4jQHj+P81%20prVcVQSAO2zDECAjcWXBe82AFkApCwQDVfsDALTDodBDCrTJMH+GDwyAdLLCFHQrrXwxSIXxSDWu%20/fVDOIRCLTIAg/SfVODHCMSAEU3FMPDFH6hAnHzAHHulIYDCFXjBnz0CeA/BKRRAIfxxtyXDMpxC%20EUABFDwCFBTBEdQA6CyyAzlyKkCyG/4DF3jAIxwSaXbDAaTDqYKOOggAIaSKBgRiIkyDGXxKGagm%20FXABEHhbMrDAK9sAKexBL8hDLYdbp+VyAOxyZ/uycAJzOBXZpXF2A1jDKQwBOQ/BI4TCCuQBCf6x%20MRTAI+AAeD/DKdzA1EwFFHZzZztYH4xKPGT/Qik8m5LTAbXVwBGEQRgcQRVIQwK4+CcWQAFUARWU%20GT7nsxyiLBWEUxbA4CLtbc2dA0EnqCkKLvFsx1g09z+kwBbdQAEoQIZ4BT1cADYkgAoYAjbgAD0k%20ATYQgASkwDfgAPWo4h/Ygh38gdP+16bczlFmwD1EpDVEAi0MQhYgQiYog35FGBIgAYWpATGEOqv1%202orBGwiMgRZQgBO4QlSCCCYMApWUQTO8QvsMz3l0tCr4Czu8xmsoGb8QQBpQggy0gR5QmH7NwxW4%20QxuMyh0QzjJUQhrAghy4ghygAnDZzhgQA3CVATukAg8EQiYEAjX4odnigjs0A6MigTvcHewB/8aK%20EYOEc0Go743aAYDzWQESsMC7y2SQbcprEMNnAOcVsMIqdMEodAGCgUhxzQAI6JhYc1iua8YEnEc/%20yGREqbvsPVdJjphWBrcODXdXxHZIj8MUIV3VzMXKf8B6cEII/M4HHEPYMAOWb8AN/MFU9IMJ3OUV%20KEA4jKYiKRINEAIR8Fs/+AAkYMDeJlIidYPlcIYaJA7D9nUATH0qOBcLiJsWrMApnMJqEIJqlEIB%20DPQfBwA3VEMpfOITDMEBlMIkBMMV4EPLfZpeSn3ICQI9BIA4LAAOyMNXd7ZoW8apQ3Y/OPZy2gAQ%20OBe3tUIn+DfN0UA3WAAksEEqAEAbWkAOkP9mItFAATDAFYzGHVwDCiWH1WMXlLHCJ+zB2j/BCbz+%20AQxBJjQBMDDDM0SDEpzAWymSaJ5AENSDuX21aFMKC+whP0XhzzJAFzzDIH5itBWAKbhyQbM5QquJ%20WwzDKSTAMeBAARDA2uCHW/gDvADAN+wAnbTDEe08g9pCgzstO0wBpVglZht/G/CaGIxCJJRCIAQC%20IgDENiBAcCFBMpAEiWbNAjRs2CzhwDGIIkXKhMWICEyYRg0CAWThP5EjRUr4x0GdSHUEKD3KdmWO%20O1wB2lixkkHQjV/b2gi5A2TeRyBlWDRk4Y4dkADiPkWCI8cVjFRA5sxpJmhgCX3oAgWRE+T/W6qY%207liwuHPHZrM7ZdiW+edvYbMrbA3emcP2H4kMY8aw+Df3SgYrd46SbZYBMQl2okJ5U9QDowgRrsKt%20AVHGhQ8f15qRJAmg379+of+1+1iG3VmyResRI/avDBDR/pLs8GfCQwoAIkn/A/129793KqJRSuCs%205D9DIlNg46QgwSmTKigtcBbBwSFOCbKNBNBOgZd+oLAtWqTh/KJuhARkcVBBmQALiTTUr9+NDqqZ%20UahRY8LumgD7g4cdXHAZgAcVFohGBQsIcdCCIKrhh4oKK7xgmh4iDCKIHnpYhgp14GGCiTba8A+X%20ZAZAhoQ/UnDHHWm8UeEaXIrqo0Yu2OHC/4ZrbEiGmHommMBAAytkp0BcKpSnkxP8QM8PP9aLcJoq%20gyAkkUWe1DKRZ8DpRw8Dp5gDFyR3NPCaMkBxp4Re9tBmFgsgtKCHIHIhgogBomihhxO6sU8DP07o%20gYco6imyRlwmqIdRIQ1MxoZYRtngGQv8oNPBTsToUaTdQnPAAc/8EcmQClJ4K6Xd1FFgBW+iKWAD%20XVSS4J1/UvrHBBNGoic4k4ILrZ+UhAFHDRL6Ksqoq0iQaAx2QFADC40eEAELHkBgx54xSDhEkH/K%20sWsKG+/w5516UgHDDU1OEcWBdAJRBoNt0nmBiwDqeCO4kcj1h99++ZVjkxjKmKMEFjqQ6f8aElTY%20ZJpU0ooNiI+u4CuDZvy5wh8u/AGDDBF+mBaGYrTRBg5oSkkAgmiUoMOIBzLaAg8dyrjiH81ssIEF%20IGa4BSggCGNBWTVmcnaeeYDopx6DkBhDkKlwsUuHqMvgop4BMuClgAUUyeUFUeTYAmxVKiiBFUH0%208mEof9Ve2x+73JmjLL74urgt2fqhzTbcdOONJNJIa+eUaH5ZoIIJ6BHNuxsg+KcATkTa4RtOvjE7%20nAQcSMGkfxwZxoERHJHkGRrqM8+PHA6AoJcwwqgkmlCeeLI+GrrJhMIazjDAEktul0UYPFvwog8D%20DDnGm1MM6CMLSBpY/pJ4nJdBBudJkYf/lOWdv+QSUs6QBxxhkAEDDGFayCabFiA5HxlkLrjgk1+k%20CaAVWbhQAM9xZCFFnDxaaeUCM/DEEx3JqF4JWmEAA8aiB/RBz3meAIhQVEJ1lVACIHLgh0WI7oI4%202EEeODg9dKDjf0Swgx1u4YgZiKEXv+BDGcARC/G1QBjLa4D69IeLHTyhgubRQA5KoYJ42MIWebiE%20PDpgAmTgCRJEYAM45MEKHcBiA78wRglg2IAXYg97EVBHcNSxj1CRZFTKMdVbSiIBAEjgAyrgxDMY%20lBzf/CMCBEhJrkbFAQn0gx47aEen+DUkLwgjIX0JALKAJghBsOUVY+ACCHgQrQc8ABNk/8jEC8rA%20lwEMQBAA4MIdWAELU0yBFbL4hyBCsIFNnMMG78AHCFBABB/cwmj+YMEb6qCvfHlmJI1wwwJWQRAn%20NOAaZlmBuuyQijFYwWIDGUhe+NKZK9CMGEvAAiYe8ANM+MIXaUhDNHxRikdMoxN0IAMmfvADESjB%20FwXQhiQkgII3NEQeZYiFNoRCGCS8Qh0JGSTBtBELINBjIQaBCInuMIV+iIIPMrvCtnbhiw3EwAtt%20QUEdKJoBIOgACIKwmkXdgkuPiuQsZ4nbMV8xAS7UbTa1uU1ufuXRzEWgAt9QAQ4U0Cnv/MMD0YgB%20J27AuX+gYQG6AEYCFqCCetSxNOMYxv8HuECAG4gOPYEyXTEYUQVGMCIE1TgADXSoAUJkQhoGqNAZ%20ZCCEM5xhHdsQgACUATxSbGAD2OBAMvrgAzZETQd60MMr+JqMVyQjGVMQ7BSuoYeoVegaOuABD5rA%20hsVywB5E4IFkeUANbpRDFr3YgDHEkYRVOKA9+5AHXfvQimAoIAtZaE8W8sEPcXSAFa3oAxUMEI4h%205ABQi+hBJpJAjhqQghQf6EEFRUeDKD0iCXm4Rh8Eu4NtqBa6+djGPERRiUroAxfyAMotKjsPVgh2%20HOiQRR5wwYwnnEADXKXBCU5gjHGQoB6ykAUryJEET8RnrYHwREGN4Q1axMIdU4AHLBX/y4OozUMH%20HLCVSkbwRX2Raoz+6AcAwviPFEQgHMeIgXBI9Q96jCMcp8BGBCSQkm+cQgEfiEECYuCAEo+kH164%20BDFIYIUBWEFufBHEFQaSgQFELAswqGY5sZCASIxiF2Zogg+uIJQlICITLhiKPiCwCTdYYh3Q2MUc%20uHBJELyAAewgRSGOwYvM9WMCwWGbPwYAiZShYgkFQERQYEEJKbggkMfMQFXmAISNZuCZlwTCJeQg%205HJiwhWBeEEsXIgONYAgFjAwQjl/YAQ6HCMNkaDFKFTBAwMEwB9ECEIpMEAEEhBmkIfJQAfYEQU5%20HCAQ1AABYUx0E3gMRAcZQMQjlsCD/3mQIwGbSAAefgwChwyyLGcRBGKIAY+PrHnNfAkpWhADaIjF%20JqV5YynfuP2bHYTjBgXAQTgUcOHZ/MMk43jGKW6gABUcgwMfSAAassGJDdzAAwqegD/O6AhHXMER%20N+gGDQiegxwMigd3cIg7KlCKKF2wdIAARBxEAQR4zINPHnoCIQjxhGocIQ4bWAE9/JGsACABIiRQ%20gxqYoAZ4FEsQzUBCAHw8FJTfYS5lQAwX3HGzAJDFHdO+A7BLcSWOczwT+zBKWXYQBBx2vONPSMes%20nQGrNJSCEDkwrh8IUYpZ/AFZ7GBDINgbJYLToACVSAA/khGAfkBiCBs/+hN6MI0N+P+CF0DzAQpm%20ZiwW3MwGahhAP1JBghY84QClqyAhDiCFUFTgaeXgwjYyIXeOP2EWosjaI2wxAMDfrO0LGYBmTBIa%20f6ijwaKC8KlGNSoJmIABMVBBAkJxChcjzh8S0AUnTrEBD4hEBb/4BQKSgANd/CIGEdCXP0DhhYXa%20OMdjwCSP/WzREhTDFRrZCAyGoAhFhMIXiMADFwYyD1VkAg6o4MMo0gCBXVghHsfwRShgMYVDmMEJ%203oBCK6xRBCn4ohUy56NIQjDygRKOAQ4CAQ5eYBD2IA1c4JLqQfoQwy7Y4pKsJtB+7AXgoGM2wghc%20QQ5KQJlWDgREwRXGyQNd4Rw6QB//rEERqqMQ+AAUlCEIAiEQ2GAAFK4sBMEHMgBGbCEIXCEIssBn%20WKDWMiAVhAIVECEqcuEGKOETluENEOMjAC8AiuRp9CIDSID6BtCjpC2kqi0D2GIg8OJuVEpvWkol%203oHC3iIJjmEBIABlvuGmcEUkhmEflqMCdCEFUuADJgABQEUVnEEQRiU03sEL/s0RsCERGjERZOcE%20noAH+sEh3sEDAOERaaAR2SscaCEStgbjDgAQDuAADO4ASiEOwoAc5uAKUiAAbKAgZk5bVo4JRmTl%20UiHmTq7mgODm2ILN9qzncCbZpk0WBMEBhuAATuDg2OsRdOEakkEPWEAPPOARStF0/06AFINgFoiq%20F6ShGIZAGbshEbrhBAChGiLgDmaCC9jAAk5gHMVRHJ+hAHqhEj6BH8ohCx6BvZKRFA+AEgpgCSrm%20Fd7AByxwDF7RBqhADaLAkEjAE84rB+CRFEsBAhYgATzALqoBECCSvZ6gFDihEoKgB83gFYMhIW9G%209HwgCoDlLfoh9cBo9VrycEhFBVQgHMKhAEZAJC5gwU4hATgAAjbsH3QBAjaAAUTCAWLFU96BAxBg%20HRxgHMbhAtDBBarSDhDAEUABFPIAAYAhG0BBH7qgC4phGlSgGMRSFCRBF3xhATThyKohCIxALs+J%20EoqgAawgGAphD/jhGEJBCITgHP8S4AsKQRLIgf+8YQcIgAM4YBwQAAEuwDEjMzI7gNXkYGWw4Aee%20QAnSIB/YAAzKIQ+0shEawRLygDKt8hZKoAOqsgEoABsQATZhEw50QQwaoARKwAu8oAH4IAZWAAYQ%20AQ4Q4QZgoQF0gAVDoAsqYQ+U4AAmjQywABVWQQymcxXOQRX4gA/IYNI+kGvEQAYsoQmaYAZ25hIw%20wpyUYAGsQQyEwBIa4RBmoASAIRhkAbYokxUuIBuq0gwigDIl0z/90xEQwBJcABQ6oECrsio7QAc+%204pKybaX2BnFEQsJI4h0MIRQuNBS+gcIQYCQkYI98Y1SU741MICGa4TUEgUNdbxj/vMAfdKACZqEY%20ikEX+MAYjMEUIAXwqKAGqqALRmYQRkYUOoAUnCAVHyPr/ICrFsF0jIEc7oAdVk4WgikApE9bSCAV%204AFL4SEVBK/aNGMorKYs5qAfEMMdGsIGlq4sko0JliAZYUdLhkAVhG4EcIjgSkdKAGEDQsEYLEEL%20vgxGf7NHq4BCrNAG+EEajMEDzDIXpmEFWCAZpMFNEqAHcAhJkdTgngEArKAJzqIO+E7ncpAFbOJH%20XjEADIARpEEFdEEXVkAFGOG3jCFSqyETCOEEjMu4CAEQwkEU9OQQNgoJ2mDmHmKjeKNfnMHBJDQm%20W+8tTGAEjoESoiEaOCEJaoXf/0SC9gwhGsLBBPaoAqKBDh0gGlaAAEQDNDjAEJxhBLLBEIYBGYAI%20iAiAALCHAOQhG4KoBMhBH5CBAfIBHC6hAS6hA4ABGJYBEY6A/QDBY36ADoYgH+DTEmSgC/ZAHxTB%20F9hTBs7hGD5BEuaAD9LAGobBEBDAEBRAAeDVZE+WAEogD1iBYybtBx7hEYQBHmzBBeRBiC4BfK4H%20Z20BGcChBITBFsCgBBqAAfBgCY42C5hBEpbnNnNzaCXhaCHhaPu1AWBLB2bAEcjBGKSADH4AI+hA%20CTYgDCIhDDZACTTBE1mmnJ4gGipiAzRBEzaAFuY2DbSznA4gHeahA7LBEsAAD/9iYQacRx7kYWhL%20YHDBBwyyQQH8lQBKFmUfF17BB4t2NkFnAKMa9Ay1DUJ7w1ZS4lYmwAEK4BhUYALeIXOC41dSxVYO%20xx8EgRgM6R3U4VZwRQH+7QpA4R6YAB/wQQdkoQ9m4vMSkgoiZgZYYR5KYAaUwgb6oAo4ARBOIOu4%20aodKgRF+rhxWjgVmggXGYC8S4kqzdEsvCTG8tAzAlAXmwB8ywAfK9EzRNE3vwA4E4Am6wU1N5xsI%204w4kwB6+YX5JR0q6oQe2gRWAph50hruUSA3mga5uhgpADxdwpBzG4Q/UwA5OrQ9uhhFCgTm17uy6%20IQfEgRUE4xXuAAVQQB3KNwP/CMMmEBLwAksW9u0d9OAa2gBnZMEUPoESAIHjKlVQhkAY5oANenUA%20zCAD7unYmmFYQVQkjFX1xIj1BBCOPOBCYwACVEAkRHQoQwEHIEAXRkBDsSEUGOAbqiMEDOH0OiUF%20GgEM3KEMPoJEXA4EQIDnjukapuANbMIKBukK8dgSBtgG2gAESmAWnoCaHgkLhAEEWOFMMwECuiAo%20ZYAX/tIXPgEE+GABSsEO9s03YjdYZNeTZdcdrFbSHsllMMCxomAASAEX4lgzrAAJ3iYDoiCOg8Jm%20bAAJBgBiQOCYrKANGuJehKCXWQAEpkIHDKQnhOCOU1gPMOKRFNYVPIACKIAR/0xBGVRhH2JABEgZ%20Cx5BmqugFtxACqAACkZBCj4GksggC+aBC5DAJjJgHmaACaJAnjMAAAaCC4jBCnzgDZDAQD7Zn/95%20DrQljuM4FfRElk9DMxw0DbmtU2hlVIZhVU/hFHDgKH0DzW7JHybAjVKCGwwpk7pFAkbFBAwBFFjx%20CpDFCv8hCtiApdkgCgpvDJDgZlhg9HyAG5KhQvqA7LLEPtaLD6oCCKKAB0jgH+yhMJCFhR3ifO9i%20AEjgIYIV50q4xzJA8AQPk84CF/4hC5JxgdDjADIBG2IgBjLsGBJvdBJBUNLBHSrkFbACHiixgQNg%20Cu6AGxbSpaNADf6hKNrXLP/sQeHa1wwwQOtyiwYooAMGyR10YMniGEvjOAp8QA0KhT9IoFuKYgr0%20gMIEryF+Igv6ZEu0BICFQQe4TGb44x62VA3Kgi2q4hBJ4yUfzInJCFd+RReiAWWc4cX2SKOxAQe+%20IQVu8qdWwBB2oACeAQeSQKNV4h/AJwDaGAhqcSrK8A74oizwOI9nIgA0VQisIHtfkQtmIB2wgJQf%20gBByIXltmQcygff+4JstoQ3cwBg6AAcW4BGGAAFM4DdEIrlxiQtwoQRgIJsfyQgsIBDUQDAI4yNa%20uRnMQtAGWn1fUQjGIGLi+JhqYpAIEphxBgicpQhPrp0rZhm69mOsCQu84BX/00Qz8iEXNsKQA6EE%20dCAA/hIFxjMdEKGQH2ALeqAE2CG7CRIE5gEe5nkApoIteNAHcKwsvBCXIkKZzEbQyjChM/dB1RDd%20YKwfGAAbVqAACuAGPoBYyeg2OpQDKiBUasWQGCAbBKFWggVXLgAU2oEdrgB4cTQA1MGu2UAlU4EY%20EsnnxkAznLpCbIBNpdc8FoEQ+OAOuCDIo+Ae/iEd09QhzrR9B2lcykCfbEDmNvsKpBoIEGMAVk7w%20UuEs9OAfVEEZoeo8TrESFoATQkHclNE+LogQ0oEVKqQNfmIe2PdM3cEf7kFPWloNZMnnYDGkEDIA%20BkAA/ESHLqiwkyF730Yz/xg7CUEglgeAGi6JGtTgNdLUL1IBrwfpGkCACTCgVs+jPnLgCbYBHnDh%20Lp5FDVJhS1NBtdtiNybAtZEDJmN7VPJFV8YBG24AG8bVBFhPv3djHD7gKGXXDiOgHUwi9yTAJLJh%20XGVbySteJGplApIAG6qhSsoyBrBhH2qFwkzgAujhHZIgBCKgH9yhHPABHRzBECbe4kVizGPgBlSA%20VVXgGbABDfR75n++4tUB4zlsAgzhBm6gEwJBVrXhBkIgQuFIBW5gBWahGgJhGp5BBQigVkYCAaah%20AFZgBapEF3CgAhQMjp4e6NPeM9Thbvilb/Bmyhn6pvyhAiCAE+4+FLx8HP+8EAHCIRS4WESpIwTM%20SDTuZgIIYO/focLUvkNHYgLy4RTC4QCQEWYfoRieyR/YQSQEoR66hfErHt5HJejytxlSARUyoRSQ%20cQiGoBQyYRbIxx6AYQxUwQ1KAfFIcaLpUKPV7Feg2OL7gQngfeUGQBnqewjquxQm//e4iMM+3/Gv%20AN6ZIAgAYfXr+xFwoBRkNnMmIHOgrVO2SB2cYQeauFQIniXVYQJCwO5Dwen7BlVsBQBuZe8BQFdg%20DMYUYBgUX6PZENoAwp/AgQQLvvunToEzBzsa7nDgTEG/fwD+/fNnMYIhixz99VMHoJ/IkSRL9pPA%20QYEDhjtGfFiJgOPFgjT/a9q8SRAhRwQgIzhQUGEEAwYjkgxrN1ECRQJJ9kEcwdBBBIsAkEZgsMOZ%20s6IOhL6baJHDP5MicZo1K9OfOpFj/SXZ4c+EhxQVx3IEgFGdRQIqKIUqAOGbRbAyLU5wFkrXs1Pj%20TKhI4A0b27sEYh48e/YfB6Xv0MQokClIj0yZqnnAV4YLOwn0/tQjhjk2TSbq1ElgcQeAIDVZMg0R%20PaTHkE6qBAlq1uwVqmrBexDqUe2GB44TKFKU4FGvbIFlmKRSE0WNJ9KZngQJ8mSIgwkmLCKgh3d7%20zX/vmFCjlot0ENJDqlW7xYQ/9HBQUT/0kCWSUnhZtFBhGP1jSAUpXFSX/1L/RPBMKNjsMyEA7NkF%20In0E/DOhTlPpNJYJF2x0UWEuvgijTB+5uBZHFlb3T3Vr9fNgjD5a5NFIX6V10I9GHslRPwDodZcE%20ClpkYYr/SPBOlGPppRc91tmYI5BhXWTCQVYiSSaMJA00mFtwyUXXYHfhxaNFhjyTwCkJVFBlXS/q%20QgkCKywgFgEjUKKCTgCkwIEhUF1AwIqGPApppJJO+ugwhiDAgALjvCSAAMpkgco2DDjihRfjOGIp%20MNlQymqrrCIADgGGxENAKwQooGo+n7YgQD7bxBpBK63II8sFtuSTBa8CZLWDCQR8gIasESCggKyy%20ujqpF46gYYgjhthxbP8WyGRBripZfIDABRcgMIwCGmELbzwfBDOMLZ54osyn4OSTjwOlTntpSgwY%20QkDBBhccgYccNZiWnBJeBFaJE8QQzTHh7KNlw0zugAMOOyipmQoetHddbYxiVOBYCK5sEkJMtlUY%20ACEppQ7J8dWEoE0WqSPQyy6yDHTQCPKM0QVoKPAliRH0M0FDVFFHn5IHTdjOPzEBIIE67+h10Fp6%20yih02EIH+bOacc1VF2H08VyXPxwUcEwMMf34DSUePMPJBUirE004W1tUpU9ocHDBtAgcjnjiii9+%20+AcXfnABPRf8wwYRRERxHz4IOEIAKLJcCowCjI9O+uj3OIJOOwi0gkD/NhdkY0YUlRPBxi3wMFFq%20K3nkIY8hwKBjueURpKA6AeMgigAH4ySvUemMe6GHIxGoiA469yCjBg92RMFDFIZbmoK6zo+/uixI%20fHAPDxlczgYPPKCDDyibRkB4t+PQMzoHWi/sgIMOT9gjPX3jFMc4xT6okxeZWa0AoSDgZgwRgy/g%20YG70sciKntajMv0IAEVSoJdclEENygQA9MCRyi7ipHd8TYQs7IgCnlHA9tClApyYDjaOwQkVtIMD%20B8nYBFYIOIuQ7GoSINmFCtSO2rRwiTRqy1vO1qYQrQ0heJmALiBwjGfsACFVgxECMnSMoBxjBxFI%20ADb+1hFDTMVnTLwQ/0fEEoUoDIAETJBAavwxBy5YRBADIEYbY1QGeFyBIndggTvucId+qOEeTFAD%20Ne7gjmu4gwWUPOQc7iAQeKRCECiMAJOqYyDtFIlMuKAkbqaAG3/o4R9c0FI/DnIQsPTDiEsMgA3a%200IYx2AMYAxhAPbSAHEpeA0T+AKJMdMQ//0HoYR7RU9b2wUAITIciCpRZRYaxgW84YAEM+AcBwvGL%20U4hlIjK7wAcYwIF2NCad7WinO98Jz3i6kwPpNAEH6Oeke3KAePTEHwJMYIJxjKMdESioQQsqz3ak%20YKEMXSjWdpgCgNKTfiYo4rQSitGMarSdFygiNvoWDWzEZASc+EI4CP+wgn1AYANIK+g39jEOzSjF%20EA5IAQK+4QEGHIQDSQhBOwBgAi0hoKYA2EcFHNCejSp1qepEwPSYNBEePZFNaRvhg9TCgWNAABsh%20YFGMlHIBXUynAif9hzNGhDWK2EZ0OfpIbd4K17jK9a1TqkgS5ibHAdjhAle4whxAcYd/zOEfgiAB%20CeaK2MQiNhXwKMM7DnkHPTijFcZRw3d4YI9CsmAKnL0DFw5JlXrUozATsNJESusyxcK1lJOcZCEV%20II/B2ugCJAtoXlSL2wAkwwYskAE24GCLesyxGc7QRTJwIQFdVABK7zgQWTDCI48wrCP/a9HLVFiB%20ChQgpFGqSNcgtAH/D4xgAQ5YUgpwcIrqKKWIRDGKAhjwrGF8YL70ra9970tfBnxAvh+olgL+q4D5%20DmMY0eqvIRQwjIMp+Fn4BbCD/7uicyaYwBcYhyEKdwH94nfDHO6wfXfg1FNEgwAQCIUCAKBdSuAA%20DeNwQAI4sQ8EjICAELgBARjggApAgBMOWAEETsGJEHAgBlg8hgNulYRTUKICSYBAAhKgRQ9Lecr1%20LZgavybVNaHNTXfh8ts4gYMVGEJ5MVqhu7SklKhSh63GFKFe2oGNU4QjAtjxxz6e8Y07lMMYOBjG%20FVLQDxJwgwR/hFEZysCWOwTDA1AmR2Cv8AFsTOIVLPgGDkTBjjIA/6EM/hCHA/IQgABMwG0OKFIE%20PualEBoJk5At5A4+EQ5j6IEFpTRFn/uxg3Bgg5ZLZEEAWHCNUxRZC4JAQgg28At5BOAZvziGWMZU%20GCwJpB9QUWaEAAgkI3ogFAkoQP9AYp3qYCQC3A4HBD5QgY1wIhTteVIEnhXUCLDHSfSut73vbe8w%20zVsdEyioBEgYpoemIHAD3wxrAMpPfBcRoAwHaBIUoMJ/mwABBFBREpJwAXW0Q+Ec77jHneSPCNAD%20B9H4wAbC8Y/JAQDM/0DDMRLAgbgQgBLYYGD/OICDL3DCEDsIwaDCcYFQPEMX5EXJCn7xixEMIwQO%20CAUEpvTxqEt94f96KpDZqMplLktgIibQhdNPgQaKqFomMWHSQTioE6ZBCXJbamMxdbGBGGygUBIw%20RCi+UAB3mOIX3ljFHHQjiHoQutAuamw/UvGPOywDAoXoxTPyIAhH5DwUwYhHJb5gjCtougyrSEAl%20JhGPAFxIBTWcAAO63b+0VpBMiHSHP9zhDnngoAAJCAU5WCCLvXvDATjXObRZGOoArCMaK/jGBpxR%20D2CsoBILsIE4jvELlNeMRDBS0LRH4AxrM7M9HvnHB25QgFPEoALtsBk1k+SAU5yCIaEQjApCEBOQ%20jYVgO0OI2giP/xjF0mrCPgbSLBICW/UP2MAJx3ADJ5J/P4IREpD/BMdACafgDCFQKOPACdhQRl/w%20DOT3DzuwAIbwDb/gOBKwAww0ORIANwiABhugC2gQDbqAEAxwRS74DzdwJ2OXgDKSFg+SZVBUVV22%20JfTAaAlgZBSBIxPwDkeoEwrSNRNxIipEffQxDJOjF2KzMhhxA5wwAX/xDwGwCpMQDYUQAbBQADCW%20I8TQD8QgCFRIhZqnDlriDiFACZaAN7JwB+SgC5VQAMCACgWwAdMABEwADyBgJyqwAcsQAHKxAL/g%20AQBwA18wYhWiMmKjBiSgBsZBAgpAKB9ACSMAAFwwQNEAX1eUAPGnhiaheXOABpTwUtyED1fQDioQ%20DY7ABRxQJ/9g/zMIgkwXUW0Ns0zYZn9mVVLhFA3ZF3NTIkTtcRAIIBAIEAIf4A879EEyQzB5cUI3%20aI1UsTUHYQIrEA0qEAoqIDMu9gUipQsOUAC/YAi/d40gEgEVsAIVMGTY8FPlSA8qgAPY4AE/5QAb%20UHOhgAA7oBRyhy6hEAojIAEIAAHPQGT7QAAVsQ/k9Q7P0I3quI5rMW1x4kRaFkVqg4QcYQIhcDcq%20WETn90YOEBMPgmP/UDUOEHYnKRL0wHYmxERVcgOhcAFYRA+U1Aq9UAAX8Q2VsFyE9Q9oeI191VcI%20cWx5wECtcEhTYG5N0AzMEA1+CAQgcAtbJQsbIA1IkHIf5QGGkP9koTAVFUGRMTJollVYw8AJK+AA%20dvNs23RztGeDGtRXf9VApxAK+RACXlAGK7AB5AAACMBtLeIjauYRu0hdvdgikzEBSYADWHQD7aEO%20KWAb72BCADQBYpExTBJRF1EdB6YXVicfo0maOOGRCBEOnPAPT1YRBBACnHCAE0AAi2ECo1aapDkk%20FBEm/+AADJCL69Ue9hQD3KYC5tg/ARgB3+AN0RADSfAPulB7N8AAODAdzsBjFUAJC/AMIxABt1ma%20IlEb0ZWRPJh1YndCAOABQJYAYdciYpERNBgODOAPDHgMx+BTixFGQjQYY7aYpVgSFBGABPkNSaAC%20lCSEg0RDHjD/AVdgHO8QJP4JNIf2EcexD8dAkCowArpQDriAl8igV9FQDY5ER912bBWgAJOjABsQ%20Au2BDRsQdpfxD84VNuERBSQwAGpgBjfgZMdgCyqABqmAnRzSD485SxBKEvAABIGYCwVQAPuwDU1a%20BtDEl68YAzMCSs+FEEGCmB90bTPxIEVCQ5zwDAxAQSppETugXvPpSv3gVKY1UwRATh3hnXM6mkti%20i7ZIMSMQCnPWHkGHAy33F+xJp9sBni9jdlgySvq5jRjnAPHpTSNgAiPgASGgC8PwD+PwDbpAW9TZ%20D0YDAMPgATg1Al46qJkBMVc1nlgnRdfFACuwGDEAqVOBEROi/0LfwJwCiAD1iQOhUAEbsF04YAJ6%208g5stXVGOhJ6MQEeUAAVIAEx8AzywAIVYAp+BQ4qAA4qIwjqkIbGujKadwVfIQjc4AzUGQwhcAqx%205QEVEAWHYAbT4AmU+B3FcAy+cArAgGcpYAjSVBHYsJ4hYSNUOEc1OokkYAvVEAOo8AcJEAIEqwvj%20oBTuOBjcygRAQLFlsC9AgAwrAA5AgA98WQZAFRPtoSQIYn262D+82KUPMoUpF34ftQJMkjGGUJPY%20UBcVQJDciV7hsEWFcUFStI43aERt2HQ/tgO6cAO2yAnhwAEQ8AUJoAJ09rNlZnaFMbJYgyO0lBI4%20aIxmahcT4P84hlFMejGSUWsk0HV1W+azHuQB0fAFJXYMI2KL/0YfzaqaL+Z9lKALOxANIUAn0SAY%20l0oP4eMMIHYp5OM8vkk/+4RuI5ANKnIB6GAH9+AFTMAE6aIurGO4mXs4oCA9K6IF3GAGWmAG3IBT%20XhAB7HABTKAu3MAN9nABwBCFFTAN+5ANpxAC3PINO2ApObYu63JhhqO5F3ZhfwAMn8suxcAAwJAK%20FWdPKTAOhaO5jOMIdgC5yAAP+AA/qMIBBABoKVAwKEFxqkM6CWNCW0qYKetdIBICoYBDFaAn7RED%20YppD/TAMxxB+OPANtbcAK3B2HMEoyGoXuCXAA0zAiuUlJOP/jhXgDytQABXhDAnzDe/oDGJRwBU8%20V6NGIbUhM2BRF0wiEHELOP/WD5RZHRMAH+xRERWhDhdQEVMhf3dhwTH8Vkrir/W3g6pKGHWBhBew%20Ak92CtgwDsPjJRVBiB+wqym3lk0WDlmUtIYwEc2FAIP7vO8CL64SARewA+NwT8Nwxa1QLcCADOBA%20vbfAKAXTCvFQxWksKV7QOexiC69jB2aQAmggARMQLZVhToLwATugLvFAAhfADYJgCw6QD8ejIghg%20CBP3vOoSYGpcKavyKASwKtkADOmSDX9gC5aiLuhkAs7gKI48KbeADASADAiADARzFCkwDOmCBupi%20CEdzOJbC/yrkm0woy0xQUhVK4Qw3cAP9kxSxVEDvEA3P0KkLkK4QsAIOyAnOORjtYAjnRD8IQFAH%20Rc3VbM3XjM3ZrM3UXD8HNhX0cJD9QFOXUn4bsb0msMrbrM7rbDhaHAECVVD3RDBORS3TkmAAoDz6%20dMWFQz9oEBOGYKmPggASsDzjQADpJD5lrEbszNDXDM8ZYx03jLaEgSP+UCL/8CchddHhtoHsa0bu%20aCfcNgLRABgotyUTEIXzOZdloj9udCFoWA+TyFhqoAb4oAZX4A+IFFjW6FmBpQ6TiDk2eg+C4A+C%20sGlXAEm6tVttEGqtAABXwARloCUeMiFF6jNySyahZkq0Jv9MiEQP74BIHjkREM1ExrFJ/9AME3AH%20r3AHSEBJr4AEzTAWW4fL1WeeZnWyiZmyGOGel5qaHrACBOAP/dsPeGkIeDsBhrAASVA3MWCALUgg%20MvNuXVEt0dIuA4bZma3Zm83Zne3Znw3afHwpBBBjjOIAq6wAFxaFA6MRmwLarw3bmX0Bw6BfAdZf%20A0NgiMwAXPwBxtPKA3M0B7MDt7LJojNfPlEZmYKCkNPIARYBsQ3doP1fY1YRg52qEy0TTuKRBJAA%20MbACQZYjFaElE1AduxwC/6ACBYAAHhADF/AOzrACK4AASUEVBDCWkWikJHMj/0ACgkAMltVIqUCJ%20gjBIk8T/Aty6MnrGDoRVWEI9R4KADgReBuwwSckQajZgA8lASXegefAw10CiNtodsWGj1aXE1ddw%20B++QWZmZSGlDlgj+B4LgGjzD1m/NAs0Q16/gnhwUVQgy4v7AENoHQIRRTDMIAdGQAPlYGK9JkM7g%20ASpgJ6cwdH2zASsgFsVUEQdWEdVhTV3u5V8O5mEu5mNO5mVu5meO5mmu5mvO5m3O5jvywUlythvp%20IuSNEBFZnxvQP9ynVjOBrD9hi32dJluiDpVhHaWK6Imu6IvO6I1+m1sOFtgn5DNxEDiyA9iADQ7A%20kZPDARK4AhdwA3lbAOGANOmpC/+HjQQTp0uC4K3u6q8O/+uxLuuzThIvYrZThd138cIp4GLj90G2%20QRUVNU4WojAA0J0xKhOFbhlky+zN7uzPHrVPHOl5zaW33MKdWmLIPJZsZAKGMCH74JwfrCA4Iqw9%20e3/Qju7pru7rXiYSTedyShE8wgGLwRCRQyI9wjMckTEWUlv11yIAYOhlye4DT/AFj38LgteTrhYX%20LQFCyAkQEANhN591gYBFElQ80r9gAiQAMI0Rfe4GD/IhL/JGIjMWKSNz3oOFAVA5wocbEAo7uyVQ%20KwEf8DXjgOoEQ9dbM9iGfhmO7vM/D/RBL/Sm2RYCMV3Vjm1MYvPhUHtI7r4t8kMg4VQY8SADPSUa%20MREPsv8kt4IXnBEStA72YS/2Y0/2VBjnVIvyWSeeccIA2JC3DDAtJKM17rkCp3ADYqERNYlUZBUD%20zqAUAyGbLjzyg0/4hZ8kdnGY1H6+zDTxhMm9QazCuUkP5kp3phd+w+APuhBmlkpd5k6Yhg/6oR/y%203efuKX8RXXSpY5gA+/AyU0HX/+ABNQbxLFufq3/kBTCqPSIBq9x2ou/7v0+2aXYR6mC+D5KyFQQS%20SlFRNqIn/qACJbbME5ACYxg33/DwBZB98gcAJxPRKw383w/+LFQQJ4/r784RVe0Pw0DSGxAY07Mz%20nxQO0XABgKGScccAfbMAx4AD510XAAEggoNhJsZxQJj/UOFChg0dPoQYUeJEihUtXsSYUaPFf+r+%20dRzh4ONIfx8NVUjxr6SJf+86TvjXr586jx9h+jt2LEKoU//QLBgxYkOMX6FwoPno8l0ENAzamYgg%20gUM7qlWtXsWaVetWrl29fgUbVuxYsmXNhp1qQgKAkh/7+Uuyw58JDykAuB0pIWbLfyYSREuwIZRI%20ADI/3sXGSUKCUP0URFPhAMKxDSuOJbjAEoAJQ0kcGBpGQMFo0qVNn0adWvVq1q1dv4YdW/Zs2rVf%20R1B3F6TIkSpNovTdW/jwfv9OhWrHKdy/Dwv2eYiGbYGuaAWSmkixw8EIAoY+EBg2zPZ48uXNn0ef%20Pv2H/2GGOBQf+Tbu3Lq64as0/G9zBAYM0BhK4b6S7vommmc4CcEBXXA4JYFjQiiggFCO0Sumfuj5%204IJ/JPAHAA8/BDFEEUcksUQTT0QxRRVXZLFFF1+EUcXD9nKAN5J+S6mt4XZMCptQCojGA2c8wCGn%20U3QJJZwNbqCHnpHUUeADeibgYIIUTMAySy235LJLL78EM0wxxySzTDPPRDNNNctsh4MUXJpRPrno%20sguvj/x5a6R3TOjnHQng1O8fBEYCQJdTVIjA0AqwOcaZf74pIIYR9LtJgmE0dEkmTTfltFNPPwU1%20VFFHJbVUU09FNVVVVzU1zn9qFK6tk3LkkUe1EFjhUP8EcIjhmwSeYeCfEEJZgYC+VIqgnwsMmVHH%20Wp+FNlppp6W2WmuvxTZbbbeF1p9M4ZqzPjvvdNbZ+Dr6KIJ0+xrBmZWO5cDcfyZQYFDduMU3X333%205bdff6W9qzhYe5MVOHmljWCY4vbZRyUsW4pAXb42/McQAjy66+B/N+a4Y48/xjZPvOSkr869CBYO%20gHfeudefkiTQ7J1+WNqwJJj0Uucdde6bt95AQQY6aKGH/jfgV228E8fgqI2Agzs5qNDP4toZycne%20LC7uXqK35rprrwnOrbDeSKbTvuHwLNdlf3LTSwKYfPPInwm0jsBqfyq8+9KJv+a7b7+LphHp4GZd%202tr/YZwOVAF1+/yHAwBgmqkfDi4gYMC/L8c8c2zVHhvcks2ONTd15HU5t48QNzYC3UygxwSxOUTX%20ZUsxVUlt22/HPXfdd+e9d99/Bz544YcnvnjjhXd14BsrNrhavdDAIZQbonr0lAIqiEmXAgx5eySs%20Ay2OVfHHJ798889HH/1ayRb3ZPf7EZvlnZ2V+J9xsIHgmUElcOa4EPRCkqP+YTV62at2x0NgAhW4%20QAY20IEMTJ7gCkaragFABcfAAQR08Q8FJKAAOYmAAn7xi2FYqC/KYha6yPVAFrbQhS+EIQx5xD6T%203UdrPLsTTcJHsQpAIDE3gJmEMviBFETDGw6w2mEI/zAOFWrOiU98otGUlzTmUZBa6miQIaIRg34Y%20wjnQ2cczIBCKJBxGHfTgjwMQgABDRAAB41hjHOU4RzrW0Y53xGMe9bhHPvbRj38EZCAF2Uc4RoBP%20cfJc2cZ1rbbEIBopOEYofBKNBG3gGzcowAaS0KGkIMAZDOAAAtw4SFKW0pSnRGUqVZnKZNXEHyGJ%20ldI0ZivjhCIC0eiJZFbgAQgkgBPH+MUGPyIBQ+zAGdwhwAcMoQACNNOZz4RmNKU5TWpW05rXxGY2%20tblNbnbTm9/UJjPdUxO3JLJ9OKRW+ADgSAZcph8IUE4PjwEBCARzAvdsxzgU4JkLKMBi4ARoQAU6%20UP+CFtSgBY1XTfoBS5RVsXDTWgEETgGBb1RgBUA6Rjh0EYME/EIFemnLO5bJMnr0KUYnRWlKVbpS%20lrbUpSl4CqDKOR9Fus9aNvvHCIwSCl1UQAU4YEwBPKCCU/wiHIPKS4Y2FDaXNtWpT4VqVKHqpLip%20g6HLI9wseTS3CpwiBP8oADYYEANs8GYEKihhn2rCxo+QE4pvhWvmAmbOGmJrdR8JAQ5U8I8V4EAB%20hnJAbgxR1qS0lQDqcmtcFbtYj92lMDO5KhWzWq23zewuFdjBCVNQE5nO5R2iKYxePEQT0pbWtKdF%20bWpVu1rWtta1r4VtbGU7W9rWFrYzGd2NaAg6a73/TQI4iwBMHJDZtczrIzTbkIfocam72da5z4Vu%20dKU7XepWN2s7W6gEZVmt4pigJk7K2kgmYDV6wMkjy6IiY9W7Xn99CLsuiwldeWutnQ3HBE4L0D9S%20MkxOPmmJTWRvgAV8razBxxnadahWiWMTBoTtIxdQXV8ugLgJrGwtoA0UAEYXQw532MMf9jDYDLPb%20RVZwv32JV28q/LaaPE7DcrtUP0AKYhrX2MY3/p1H3tGWA8cywdcyRAhO8Q0N/WMHp4jBDgiAjVNg%20QwEz0o9oMNaRxA7Yylc+251EFl+anhNbiNPwMGGiDpAyEU+OI8mAYtw9LLfZzXfZ8Ud63NDJVose%20/x7gBA4o4YwJmCAUCTiFV2+gggVgw2nxW5blCoNjRjfa0SF+KJfDVVdswWQCeqnAMVTAln9c4BnP%20cIYJchWDD8RHw4YwxEzwlD5Wt9rVr4Z1rDuitjljtXnplMBlJMCJG/xjGJT4xj4oEVhhx6B+jRsG%20GlKARqm0aSPPhna0pT1taleb2m80JKdnOun5Om8vI4BAASDwVQKEIwEO6qqPIDAomvnjAkh1c7zb%207Ng71Vqyt67WZUywARz4egMVqAAlCICGAqgAKfoxAQI+cMzutKeZ6oF4xCU+cYpXHNUQlsB9SGxT%20b38EG5TYSQKYAwEVUKcCFxjGL9uqjhREYAcMaP95xGQ+c5rX3OY3x3nOdb5znvfc5z8HetCFPvSf%20O+lekR0cvqUFk4ieYgMhcIaQHVSAEVDiFyEo4byUm2y1tGNP9Pht2MU+drKX3exnR3va1b52trfd%207W+He9zl3vYUXGkCPNs4Oqell+JgIxpghQAACDBuB0QjCSaIQSiChQBvRcAQIbGYeCo+ecpX3vKV%20T4G3RoL0CUYaWghhcggQEI4Y7AMHz/hA4XmVBMSNBAFFVrC8ZR/gkuQ9Wzf7xz6qE4oYOOAblxG3%20AxKwABWYgGo24QADPiCBdjTN2s+HfvSlP/3pZx5QnN9utVjCgVKrowLugvCDB4LUftxzAstkC0z/%20CiNV9rff/e9/f+3GJunPlZhadxldOy44vRWEIwnPOIYKYIBoCAVs8ADVSQkAkAACKLLZc8D1MrrN%20Q7A6mxaVwQsO2DH40I33eJK2YKsHBMH1wq378Ajbu5YTwxhl+gcP8IB/GLiYeD1nKDWt+63uCMEb%20hCt6Uwl7SzorkhaPmIDEggl7QQDX8ZC2UED04wu9w8Em7BtnCR/5sj9q8a5AUT8w6wu92K/6KYkL%20cATPc8Iw3Jri2DB/4MHOi71ogZ274IAYUA4OUIsBaon2CJgSdAu9yy2V0BozSq+5yaH0MqHgWJsd%20yQ8tkxYdWRuN0Q3dgK8daRlArBWaoBY8iURI/9wRSowvfRGZPNyRqoIyE+wYiWGiPJydvfgUlagv%20VDzFctIyT6myVesUPElF/CCJyEGbNGPCWDkYWOQUHUnFT9ERWzzF3MA7T6GitljFRrzDTrnD+ADG%204cAuZlwa7PsxboEPlxmWG4CMjBlEBlQKl6iqa5RE/eA0+GkrDVxEtjApPGEZVnSLFyuODtENmkDG%20PAybYPwUD6GifETFODFGVRsbY/QQMixBUEHEx2JGCcAYj8g4T2mLRuTFTdEw00JIh4RCY7QTnaG/%20mspFfbkL19GP1isg46oVZcTEQ5zEZ7lFzlmhkiCdaFEbmUDEjqRFlSSYk4wVgPSa2IOPcdxDPf9p%20ibcwwwlUum1ph+I4kHGYEJZwElH6AMVBI0OCw7rLEg5wo6ewSjehSqtsBwmIStbJSqq8r4NonaZh%20HXpIgYSou6w0PlGCQywRy7R0EyzZivt6S4QwvqyAw3aYEjd6B614B6vEEoRgvqxAo3FoGrPUCphq%20hyuhS62gErVwEwmIAK2AmqgEu6nQy9+KmN/STMPMJwycgMrMCsQUpdrbtvrjuH8hgBtYgbbSj/Ij%20gP1hqhDhRPgiEeGQydysxQEZkVqUyRU6RI2JSR3aMt7cMnIUkVUbGxIRSmfhzeEgkXJ5i+hkxek8%20DE6rTRBxiUUbSh+jQG6xmhuAADTwIO9iCQb/TIJ9YAAF6I9hUD40+AD2+AAG2IF92IFhqE804M/5%207I+nRAMH+CT9/M/wqE//gM/hUj795M8GbQr22IER2IEdoM8PkE8FCA8CFVAHdVDwYI8ArREOFdHR%202A4FEFH+JID3ZIADM9ETtdD+0I78PNH+rE8FTbYTTSb9HK4PPdH2TD0ZdM8ZRQPwqJHQEFIIPbBm%202oEZbSY0KIjO6TJK4xgFKABf0gWa0BnZHMVa0bbV9LGY4MRLRMUqI8RZLMSlwSFlvEmWnMQuLcnk%201BhXosmHfEgeoc5c1BGx6RYFc6tXIkofzJYu9ZVj4ARhKgkmeje3qrIkRC5LFAgEqJBnkQAE/yiv%20LOsNziiuZxnNFIIWg4A3Mf0HN5IWCQg/Ox0JqIjUWlmKcWCzBXuHRIUWdVgjMj0XAFgjo6kVUpUY%20WgUAerAYI0xNjvSYENgzCeGTjGM5BiCAzXgc83NWx8yS33JWZy1Mt8GOKZnWe5IAmPqtxnSbbLUS%20sIOZK5mS1lGLS6MHqNmMFHCbdmWd3zI+LmmSeQ27JgHXuTE+sIMpbM3Ws8wSsLvXFKiwtFQLfp1W%20tZAKqIGZe9USsMMOhvVW5nuTezVXsANYiiUYagxPbVEnE/gGvaKaRRQUBPiWoCRGdiSmoyQJPc2L%20NeKTRjQdkjCBC2BXhDyMYGwHQ/iTt4Cfnf+pMPgYzQvIR42ci4j5FIzRMDdqyE7R05yNgIjUlHtp%20hyK0EKYdptdjiXy8i/O7gIBxyA1ZI5AyyEmFVKjVlJhIuAiLRk75iHxai8qSQi/lF134hRQIh2jI%20WrS8AMjzp2mKvNBAtX+KpguoTwVYlu6YJhNtD8phwGligMX9J0M4XMmlHPeUXIu5gGVZlotbpiF1%20psAV3Iez0GliXIuRz9CFJslNpu9gXGnKXPj0J9R9JspB0daNps6F3GoaXca13WeyUMBtJtkNXrep%20tz8FQ2vpLo9QBybir+yskI68G5pUiXeYAJecv7FRSGmRsV1URsbhkTyEH+IcmYybIULJVGj/kTFa%20dR+pGVWZmqGB/EH17Y2ccVNo3JCXtY+4lV5u2YcNwJ9TcBq1SLjhGgcGvLlx8A7WfT2cQ4P8XKPM%20vbn6/IA3QjXEtDkKfbfXy2DNXSPQ2AFDGIdleaN3c4R3C+Fh+ODMVeESllwWNlEGuDk2ercURQMI%20szlDECVD6I/Durk2UjhlXaObezcdZgActuGaQ4AghTA2EuKmwGFHkNyba4pLYaMotrkPgJo70dii%20xBbz6gjEQSo2q4nzDcSUucYncVNvmcc1JsQzjomfLGMwxUdphI869hSRdUarXRqzvS7dvOMqO8XK%20OoxTFBlKHMaakERgJKc84cfgyN8o7TZ//zGBcJgnBzCXCZPbw4iYVt0RDjCE43uWq/xDHnEPdFJG%20KrkAOKnj4UgBoU3O4ZCKT/WxST023TwMOOLkc2kcSLVJgYiwWZrZZIGys3EjQeYRq0yiWRoGk3kl%20AbI1QP0YODG+4nA8/VCHt4ETerAZ30OjnrybwnJBzDIuV4pNc5yXUmtMh/kI5lWLHfiG5ZMpncmU%20j3CACmCL/WKzQSGAEECDEYA3mfGNCuu0fXCU+UGZdigJBhgB4uWRx6lmutifj9iv4kCAYVAHqhGl%203uC7liAADJSAChiBj5zHQEEDdXGAJHASkyyOGqYYCUADQIlZn9CLCHCGJBgG3dlIL+sYW//9DppJ%201a2yQ0eU6L3JoUWjGD1xGbvRD6MLM5uAE3W5u0tb6o9wEtj5GUsLKfhQl4w5rgqRRDihRH+oHz+J%20Cdg5Pq7G6f3a2ibSx58uDJe4tKa+xX84Pqdpi7tLmpKImEDpkKg5lgp5m7aukLVmMUIJHPDk4p0+%20XxNIAk6IgZGGE05DABWQqAJwCRBOms1QB0NQgXP7hqqemP3SCw4AkoNriXt5HL6qjn1IokZVwAjA%20AVzagfuoQpcEgI/dAErYAcbrL994h2EokgTwAIMmiab5hySIpFP46d4ggMuIAAIQtwLILI0GgBEo%20gGfgEGLdAQ0rju7BswOUkAT4qJaAk3f/kIwYkAAkOYZnmJv8mAtd0KD3gI7htpMJmOwECCxxw4YK%20wGlQ5Bh1iEPY/F7kGscdYZbUvgloaUdy0cdLTAnTWVRd7O4kupDuiRv9sinyNUeYgcGhfmMo65C1%20GR1tzp2YcJITN2zweYeaXbmaUYk/+a1+2K8qsYnuAYBxKIwsDlUZa6vHcRKliAqPoJo48weYQlPE%20NGyBMd407Bd/oAcNS4IE+IICKA6NzFLXGwHt+YVvuFQ+RIAQeIYlOcfyhs0R4ATdThljic16Cofp%20dqy7+HEjowQIwAHeSGYO0evCgwACoJlrhI8KAAwDIe70iiRdeDoeuYAb8IYF+AAVCAUV/zh0ipkJ%20BAiFLzgGYaEEb/CAHetOj/iGDfiCFXgHqAsFTkCKb+40HPgCCJgAB4iBXrKb7iIATvgCbOiLAviC%20vZrej/AkbziifliABXjN/tbfoZkJHiHzo64VxNFmzwMAGlch6EzVzaLrZhEIP6FMt/AIeihB3UCj%20s06KXoVNBMBAzaAZ/NNop1EovBCt/todzRB3gQBCcCYJnLnZlsjll5mXknCrQzux/G0oaKyQpy2O%20UELCCEJsaN7p7KyYFaCEGHiJGl8esCoABuA7xHJkL6RzvHCZ4qAHqhmBSIIABzjOOzGICEmAGNis%20iQ4vf7iBL3iGUPgqWb2RpnYGme8Njf/Uw8YpdUpIgkFX536o0hDwhmfgkRRA7gRQgAb5h+iwi7tI%20CQL4Bk4oAAAYqw0QJpeQGxe8AU5YgeV1Bl5rQAVEAA84t0FBgASgBKTylrlQAGJdgQkQI05QAfh4%20agfoemdAgFMIhyQhdkieQn7JXlXUGJhAA4MDMOFQAGwoONzA8AOCnwkIgRhQgSdLigikFBnXhW9A%20gI9sW+YG8xUwhAafGJpZlBiwaBNwGVW+CwJQAUyKAfxKR7oWPBUIh33YL0TuCMfSHlvHaQDwgCQQ%20KRUoAAcg363fkBCoAKhRgBWY7p3XjyRQgZwNhwJYgcex+yjTBUfpKhW4gDFuiwtQfnX/kYAQ+Iat%20LqwIUAHsSfRnEP3ekKIlF5oGb4tdu4FG9eqb6Ko93xCA4PBPwj8A/tT9+3fBgTNOxxBwePevH4AJ%20Bfv9U7EhmrcVBP0RTIgg4b8kaGIscPYPob+EEzD+00UpxLFjF/61VCeRpL8LECAgaFnwHcyWElZE%200wUhlLp+QhM+dVDg2C8PJK+SxBYtQrgNDjbEEJhQYIp/BUKNJDDTJVt/CDjFKJkAm6GECHcCwJEg%20wgc0Sne0wwkgoQQEEGJ82EgJqMSmCU2M2OAhwjcCoUL5y6w580R/SXb4M+EhxeCJWE+jTq3a6VPV%20CR0k8KYLp+oREDQ+M2G688R39GJA/6CkojTMdiETflvAtGCEhO0AwMT2C8c3qG51J5RY4WeBDysn%20hpSAUYGHAr+ejZQw2ClOp+E4QeCEACNMmAm14gj1bfPmFM+8HfPPMxAc011C/SAUwX/HAMBAKN5U%20YNFVF4SwACUE7FPAKRuoINROFTzogSExhCJcQf9I+MEN3hSQkAq/nCKQPzANU4A3zwDwzAIxKDBR%20aev944ADWAllSAVlteaakkteBYB477wzAQcJxNAcii0J1RICOHyRgAcMfPcPdqWhgc0pENwQAUzv%20ICShCQ6ogMMCIQz2EooShKQADscQWFdT9hHGwFLRqIBdQQYV1FIEocQF3VUH4aTOB/8JHJNUU621%20RM9CfCawQ2q6aTWMA6ckkMA+bCH0TzuhnGICBw5EU4E66nyEkQkScGhINF0mgdFxCYVzyogQJBDN%20B2OSpAAn2ESgS4WhtAOToyVtMEIEx5zCyQ38adbZZ6GNRhyT47qGIKCpVZBAVSCpFsEFamEzjpUI%20NnmBLtE8Q1Bp/9CTGUYjmBfKif80VhAHEtywwCkxjHNavwU9A+MNwzQ5gQQSusgJAzuthHFL74UC%20AQGpNolRARA4E0oC3GaGRji/hAJAKDh8sEAFV6ljiHnh9FMBJ944AJNjhqxASTSGXBCBA5TcUJqd%20SYTyy80EhAAWwbTRw4AKLPaThHn/LUKVEAMr4mDWAnPR06RpQhKZkJFIkhu3a+rhXMEI/bzjZEJl%20kcRBBeGosALFKGKcqt/Y6PKBfeFhVBoBHiCgDgCl6cbSP2isoIJY+6qjG3sOrJCERReThJAEJkj+%20JcckVUTSBN94oIshlz6a9j8IhKALGq6pM0wShkjgwA3O0CfB6g7czK8HPeYdpjoTeNCOCSvoQn0E%20kpMkAQcjjKCQLroMUzhGLYXwQUghWJn96B7c5MEK+5jAcktOfSsaaQfKnT9JFE1O8mkIQO0bs0oS%20SUwwjmMkgG8WoRdUJmACQxwDB2UZTEso+I5xnGwpCMBOBExQGoIkoQIkqoA/InC6//gZKhwLQIoK%20CEAPjsEkbcNAE/4OhaLbAeAGoUDgB1ZHkpHsYCpf2BbLTEAPHBRgHKGY2AKScJV+cIADoXgG0hzA%20Cav4yCI5WwEEPOWMswzkQAThwD4gEIJ/kBFN7ahgQSQAQRwwAFsbeIidQMKBa+GgHyNwhgqi4QxD%20AYltj3LbkWijv0P2Y01tCiPGAuMj+wBAICP5RwrWJJahDARvN7QIAGx3HAnxDY2PSRSCsCMetpQm%20fRKyXT9sJ6EKGs8+/gBAqjq5EvbwxCUtmQDGTjMYkhlKLBLpxynX2A/dAOlEdaLkRGjlyJY0jyS2%20cyROWmO4EyHEBNiZJTPbYRGxyP/PW6Cxn7gOOa597SY1LTHEBrbFTNSgIRpeIcBgdDNLmGjvGR7g%20RCgIkE7d0IOYfNqAN0bgj2hWJFUqUIEHFjAbp2UvJhwCCzJDsqaMeOMCkwvbwAbiEBUsgAFpU0dO%20WLePU5xiAR6Q3+QoFYFSAQdMBiGZQwSyA0rMBmOlec8OGLABCFTgJhslTGJ0oYAYeGAp2AtlO2qC%20gJr8YgGeushKTJCAU7RDBSGQk+JYt7YhDfIfbzOkOctq1rMe8p6n2ckE8Xe/MDoHI6EkHT20SBIT%20JoqSlWsLOlU1yt1E6ZtYcx0B0WrYs9JvnOGq4WHPqrUQeC41KijWMZJAwdSQ6Bj/FcCI/9qTSEOo%20IAYUe0dz/AeACpAqBI50iuSeMo4+huNig6FmnfzxjQKMRB2ezMkpnUEqFcwrIYMJiSEGFAIEBFS4%202RHTQt8xDARC7jH4DMcKBLKPZ3QPNR5g2D5DUYDNOgYnKUBAARxwAWxAoADOmABeEkIAXWjucqH1%20pyH9YYjt+sMDpdJF+r6DEIa0TayFLGxjC2zgtAIgb0Kpa+mag7FE+vWJkMIKQQBlqNLdaiBDdbAE%20/NdBkgEglAih5oFLnL/Eguut5zIxkyTyjqQRpl3DMIQHfZMadSAgKAUxwepmBGETrNGXJvDVBwiQ%20gln2dQIUlEAK6vKwvfnDribo/xE6abmvKF8AeMrtzZYNgQaO1dIuBBtJP5DGulSlbT47QUAoT7O7%20BiGAAM1BkFAAYAIrXeADYhkfxhAw5wmkwJ4HqQ8HbmICAmh5YAj5r0rCOlYCszjSkhZuLQNDkbDe%20ahyA0omh5re5BBsRIzd5B0FOF7YF0yOUKWiKK6+yE4E4xXaTnjVqUExOxtIarR0+s2r21ddq+jgk%20dr6LUDormFQds4E4seePaJOqkJCMHobS13FmlJAXXltMWMkbk9ejL8q57lZJIggvb6iaS2KFlkra%20SZR9za+nUJMzWz7QUBcdpEbnUsBwyzW/DezDCQzDGR/YQRJGEhh2S3McI+iktf/fVGFkkhWdi7bd%20MD4wjGGkbxin2t+0IplKf+0P0v02sK0Xm86Rq4ZWvyYJlKDTrdQsuZwsw1OWCGYfUoc4ue3mV2r4%20Rg/iGGclFbbYozrbyjAZsinCxqaYI8Wv1d2KZLMSiVAk0F+syNrjpfPfxXJigl7iBEp0Lh59Soeo%20sNMNZ98BsKMHjPK3GxYmF6gAQX9xDDQELyE7WAE9LyAQFUDgAo1jQAgCP4EOFjACzYkAlcWKHUMk%20YWHf2MfFgMfHYxJgcBe4AAIGQw8EsEkhBNANnuAu6ZKr2PRXmUCSfIiVSy+XSU7iFusKl8vnnYZW%20TylNCqL1TgpKKFWoW66j2pH/N7y9I8o78b06jvxEjMDQIButc2ZIapdTFsTYIt81oFpTFP/hjWT1%20OXvjul9LqYuZ0QF+tOrbLzfs8Ys8lEiAM4ahiwIw6xS/+AZqT+EMFRJAP7RDCOjQAqCBB4TDDezO%20BOgCDoRDDKhAAYwA0TxDlThAOOjIKajAN2iNZgnPOOhCOODADozIDWDXBIRABVKIA6rEULkfyXmG%20YqWe+/2Ih3wKdLhgz0lA1a0HazwFx1jM2dVcvhFMOzDAMKCBA9RFk/jPBPhZqrTE5tnQYAyTu0GF%20WIyDISDAsWSPAgzD0mmbqozPSswS61nHY3hSamDEzx1I8j3K5OAFuMGfdcQP/3t4kF3IElHYRcul%20372tn9u9YCCqE4RNyGH8QwxoC1wkgFStQCgoh1bQUwXgS7HsUzQwDUgkwBwtwFmcQtVEA6GcjEaE%20A6UgEODEwAaswLLsCUoUwAZo4AZsAE4dAyVQVNMJYtzFYIqV0wvSCtidxlP4i+uhhrolEi7F2Lz1%20lZOox9Txi2VEwwJEA7P8QwSkzT54irv8wxeFAN80WQKsAME0x6o9BkF0Tj1VBEHQgy7oU3TdxD94%20QNCIlUVI28Fcm5W4ShU+m3BBmhDShvclkk7REhRGyaxMjrhE358YozH6lx+23b7d4kPmVVURBAFw%20Ag6ow0/8Q6moQCjoVwbhQP80eIoH7N8+6d/JtMiqlFc0fIMKcIJ5kApwHINlVMqZhAM9OMAztNMC%20IMA3gEUoDMOepNTJUA8EzBHeIR1ElhXq7WL7WZOS6ESd3Rh4OE0xJknrHNuPcEydgZLP/EI4KIAD%20YAMOoEESbEAo7EAIxIDuMI176ULCPMN7xYADjIRfhAM2qMANQJYh3AA2XEA7VMCAJEUI+E4nguXv%206MIpJAE9fMMKFEAISMAHxAA27AAChGAIXECqcBKWmBtqSATRkdWMPAWtQOFBQQXXqYq+WNtpFCPH%209SHb5Rv7IWVsXgUBJMANmMA3JMBlVIAHtJNDEMgzmKVY1QQnbMBtccIpWAX/B+AAYoaCCOlTqZwC%205kTDhjzDMezlZURmc+LAUsSAz4DlKRzmDqHBNxzDBiSAA5iObCZlLt7ayamnemrFoUXDDZzCMWCD%20eUbeL1DCCtRmQjwDJ+BkDMjJJw5JchwDJ0RDAXACfz5jAozAAmDDZezJRiJRUmHDWXTFN4SCQyxA%20GVliAlQIJRxDj6Dbe/LO2uEbR8GmiULkaQ2JCSSBB1QAPbSD7vBfEuwDA3yDRJzWCIRAdThACDgD%20lTHEbTLeCJDR5HmPM4QAAyRBkXnAl3xAErwD8jwpAHzDOKCBM0SAM/AfAOyAB3yDMwiFL7Lokigl%20rp0pRN4AJTiAB+znBfwC/3D8aEuCRTSEw+0Qyz84RCjMEQQMCZz61t3dBoyQyg10EVKEw09AgCEo%20wDdEAwQQSgpEg4RaUVfw0ylUwECtgKytaVSqX0OS1ae+YOOQRChJSHOwEU6wXnI5UFiVhu1kGBpx%20U6yKBUL0g5JlhxkShhbJmjCS6mqwp8mtWLC63w1Eg1xORU0QAIGoUKXEAJXcR3q106IWyAcAwL0w%20QH0aQihcKHzogoMkAIEg0WRhyz7dAImgVLrEgCGgyckcQwzswIBQQgxIxIUZ60K6pooCYr6qHnaA%20E1xlGzd1WNpwVoIVR9XBFa7iEhSSzPwkn+S0zilxElmRlJn66+sN6wxmbP/7TQDyNAecIIY7Smbs%20hEAF7AO2KoQH3MAN+Bn1tCCFQF4FjEMFXFz1RI4HLBSOOgCMqgA2vCkDcMAKhIMTfUPBrUDSfI8L%20raQKDE6xkqq97ashrWjHopy0YMfR/ZJw6QbE2ZNECEWQ5arQhVGmxBhG6OqJRJnTLV1ZLBD/7I+x%20Wa046aKazu3IxaqSSQjCcVzXYQW+/oraodPYppt9OCTZism+YGzUougfHu7d8puE7FqYDRM3gS3P%20cQY3Fdt3LFDpxB5Hnd0wfkdjuNvKzW2auifkjhzuoYgbiocEaBrLlYY6CAQ9hITFzJK+mA5C2Nld%20OViqbBDO/ArfNMydFND/O9xhx0ptilJtv6purk0AsoWJqVoEG1UYwaibuilXMpXdiQBKMdLSLFUf%200+UEN5kGB8De89Jte0Kt+kYalEDsWLxTNakSZsJE9FLYZY1J8V4FNTVHSKgJSVzm1ZCU2e5E+67p%208jruqLpvpOXEBxVE1vWS3pjbTpSa9QlFKC2ZcP2IhS0XMO5eGPGu6XYs6iJwAx/Yw45SSEROGEmA%207dgYKUEbOu6N9amDI+kEmyBE2vTXBUgI/0KccqXN5ARuvirwabywBwgEsKJwEzvxIe3ENyhABGDp%20Dj7xFWNx/pSF7TgDWBUQFLXDN+BrFpNxGbtGZeSNLqTADpbhtJjxGz/x/6908TCaQAXQ2K3gSR7r%208R7zcR/78R8DciAL8iATciEb8iEjciIr8iIzciPrMQdEkgf4kz/oQtoN2kA4ciZr8iZzcid78ieD%20ciJzQOSsMQckAfMSxgV4QBJwTyu78ivDcizL8izTci3b8i3jci7r8i7zci/78i8DczDHchc7g+6Q%202jfcaAhVQAWwsjA78zNDczRL8zRTczX3sgPsgwOwsjN4QHax3ETQww6gARp8AAOY8zmjczqr8zqz%20czu78zvDczzL8zzTcz3b8z3jcz7r8z6jczmjwQ48nsUpgBdenALw80EjdEIr9EIzdEM7ND73RRIy%20wD/zL0fB8UVjdOqGU/9Gc/TdCgV9/BpRTJ0mQUlJm/RJo3RKq/RKs3RLu/RLw3RMy/RM03RN2/RN%2043ROnzRoCh2DTQQuHZROC/VQE3VRG/VRI3VS1/TWEkwRC1f1knBHS3XHVttUW3UDO4obX/VWc3VX%20e/VXg3VYi/VYk3VZm/VZo3Vaq/Vas3Vbu/Vbw3Vcy/Vc03Vd2/Vd43Ve6/Ve83Vf+/VfA/ZUBwAu%20+IAPUIENqAEJREEqJIMNRAEbXAMLBHZZ38EdCIIgkEBmC0I/MsEARAER2EAAsAAr+EAGzAAQ/EM2%20+IAVcAEQ+AAKTHZgB4AeFLYN2MAADEAx5IIB2AAPRAELXENsj3VlX3b/ZpPAZifYPyi2MgCCNBgA%20K9xBBiyBNlxCCpCAFVgBELBDYQv3X1f2ACADC7CAGmhBPsRAIUxBKqjBHbhDd4e1eP8DZh/3Zs/S%20FagBJGTCFzxDALiDDmTAAARCKMCCOuBCM4zBGKjBFbh3X5tACuA2C8jCZQsCGnxCIQyAGujBHSz4%20V8O3fF82F7TEFZDAAAiAEhSCAUwBEAxABphBIBSBPgSAgZNAgm/4XqcCNbiDPKhCFtyBFxQ4T+ZB%20AGh4jXe1eGu4hF/BHGTHikcBIJx4B4jBDMBDBhzCMRSBOxC2D5QBCBB5XjNBKojkL/yCLvRDOdyB%20GWxACNjAHUR1l8Ox/5HH92Ur+LVFAQ8QgRL0wif8wh7EQiqYARtYQyV0wBQUdhmgtpvbtRrwQCFI%20Q5OHwhSwQB8QASAcARVgNqJbdQCI9pHHNwuA+D94NhsowR6QAhhIAS2UAAj4gxz4AgVMwR0cmchh%20+lqrgRrYACkEwiacgiyIdgZIQRzYADFs9qx3tKazgGXH9z9U9koMABGIuhOQghWcwy+kOjycgy84%20QTPcAQfIG7HHtRqkgikUAiCYQwHIAgsEACSUQqVftrdztLEj+2bfAS5wAQCkwgDwgBIcQTKgwC5Q%20u6qjgiaIwqv/wxXMubu/NTVQQy/EAREMQShcwzVMARtQQhVQQT0MO//CwzG8b7a8L7tiQ4ISOIE7%20NIIbKMIMgEAZIEI0iIE7sPkVwIPGv/U9MMGDPMICzOk13AEybAI/CHmbyzwKw7mE/4M7iDcLCIIa%20UEMmLMAnfEIB7AMJFLaVd4A7ZMAblIEOBH1bp0IqrMIk4MAQTEI44AILhIO5B0BobL0ZD327l33Z%20Y3YUQII0fMIkkAMISP0SJAAfRLYPvAEQcPnaq3VlR4EaiPdl24IuhII43DguDLngYzFxe/g/iDYu%208HcqZHYbtME1uDYKoMIpWEMJ3AESjEE9XEEZQH5aA8AdUMMA4MI1cIMg7MMNmEIAZLbjp37kW/bk%20Hz0LuIM/FH4wtAHWLpSBD7gAHEBDLNwBCyABEhDDFRx67pc1C9gAG/iAbQ+AHeSDMwRA9f92cEu/%20EwuCPxj3cf8Dums6LsQ3CWg6EtQDCqDANjCBIGQAdrODa/tA+Je1pls/QFCxcW/AADU2bEThcYfF%20P4cPIUaUOJFiRYsXMWbUuJFjR48fQYYU+VDQFRInSQj6xwKXjQCy/glKFaBVABJ1UAABIciKFR9c%20gLzxMZJoUaNHkSZVupRpU6dPoUaVOpVqVatXsWbVupVrV69fwYYVO5ZsWbNn0aZVu5ZtW44BAQA7" height="195" width="589" overflow="visible"> </image>
            </svg>
          </div>
        </div>
        <div class="fig"><span class="labelfig">FIGURE 5.&nbsp; </span><span class="textfig">Actual working depth of the 
          aggregate. a) YTO X 1204 tractor and the 52-disc heavy harrow. b) YTO X 
          1204 tractor and the medium 40-disc harrow.</span></div>
        <p>When comparing both working depth results with those reported <span class="tooltip"><a href="#B24">Silveira (1982)</a><span class="tooltip-content">SILVEIRA, R. J. A.: "Teoría y Cálculo de Máquinas Agrícolas", <i>Máquinas de laboreo del suelo, pp 420</i>, La Habana: Pueblo y Educación, 1982.</span></span> for disc harrows and other types, it can be stated that the results 
          obtained are satisfactory, since this author refers depths between 0.06 
          and 0.25 m. However, according to the instructions for this tilling 
          implement, the working depth must be between 0.15 and 0.20 m. Obtaining 
          magnitudes close to the lower limit. Despite this, these results can be 
          considered acceptable, since rice germinates at a depth of 0.05 m. On 
          the other hand, the values obtained for the median harrow (0.11 to 0.14 
          m) have a behavior lower than 0.22 m, obtained by <span class="tooltip"><a href="#B4">Fajardo &amp; Hernández (2013)</a><span class="tooltip-content">FAJARDO, A. &amp; HERNÁNDEZ, A.: <i>Evaluación
          tecnológica- explotativo de la grada de disco Baldan modificada y el 
          tractor MTZ-80 para la labor de roturación en el cultivo del fríjol 
          (Phaseolus vulgaris L ). Trabajo de Diploma en opción al título de 
          Ingeniero Agrícola</i>, 82pp., Ingeniería Agrícola, Universidad de Granama, Peralejo. Granma, 2013.</span></span> </p>
      </article>
      <article class="section"><a id="id0x5747600"><!-- named anchor --></a>
        <h4>Work Shift Utilization Coefficient</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <p> <span class="tooltip"><a href="#t3">Table 3</a></span> shows the 
          values obtained for the work shift utilization coefficient (τ) by the 
          three groups evaluated. The resulting values of the observations are 
          0.78; 0.73 and 0.77. These magnitudes are classified as low when 
          compared to the 0.89 declared by <span class="tooltip"><a href="#B12">Jróbostov (1977)</a><span class="tooltip-content">JRÓBOSTOV, S. N.: <i>Explotación del parque de tractores y máquinas, Ed.</i> Mir, Moscú, 1977.</span></span> and the 0.91 obtained by <span class="tooltip"><a href="#B6">García &amp; Ramos (2011)</a><span class="tooltip-content">GARCÍA, E. &amp; RAMOS, J. L.: <i>Evaluación
          de los indices tecnologicos explotativos de varios agregados en la 
          preparación de suelo. Trabajo de Diploma en opción al título de 
          Ingeniero Agrícola.</i>, 80pp., Ingeniería Agrícola, Universidad de Granma, Peralejo. Granma, 2011.</span></span>. However, they can be classified as acceptable considering the range referred by <span class="tooltip"><a href="#B10">González (1993)</a><span class="tooltip-content">GONZÁLEZ, R. V.: <i>Explotación del Parque de Maquinarias, Ed.</i> Felix Varela, La Habana, 1993.</span></span>, which is from 0.70 to 0.95 and from 0.70 to 0.95.</p>
        <div class="table" id="t3"><span class="labelfig">TABLE 3.&nbsp; </span><span class="textfig">Work shift utilization coefficients</span></div>
        <div class="contenedor">
          <div class="outer-centrado">
            <div style="max-width: 1160px;" class="inner-centrado">
              <table>
                <colgroup>
                <col span="6">
                </colgroup>
                <thead>
                  <tr>
                    <th colspan="6" align="center">Tractor YTO X 1204 </th>
                  </tr>
                  <tr>
                    <th colspan="2" align="center">Land plane </th>
                    <th colspan="2" align="center">Baldan Heavy Harrow with 52 discs </th>
                    <th colspan="2" align="left">Baldan Medium Harrow with 40 discs </th>
                  </tr>
                </thead>
                <tbody>
                  <tr>
                    <td align="center">Work shift Utilization Coefficient (τ)</td>
                    <td align="center">Aggregate net work time (Tc)</td>
                    <td align="center">Work shift Utilization Coefficient (τ)</td>
                    <td align="center">Aggregate net work time (Tc)</td>
                    <td align="center">Work shift Utilization Coefficient (τ)</td>
                    <td align="center">Aggregate net work time (Tc)</td>
                  </tr>
                  <tr>
                    <td align="center">0,78</td>
                    <td align="center">6,24 h</td>
                    <td align="center">0,73</td>
                    <td align="center">5,84 h</td>
                    <td align="center">0,77</td>
                    <td align="center">6,10 h</td>
                  </tr>
                  <tr>
                    <td colspan="6" align="center">For a work shift of 8 hours</td>
                  </tr>
                </tbody>
              </table>
            </div>
          </div>
        </div>
        <div class="clear"></div>
      </article>
      <article class="section"><a id="id0x5490700"><!-- named anchor --></a>
        <h4>Productivity</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <p> <span class="tooltip"><a href="#t4">Table 4</a></span> shows the 
          productivity values that were determined, the real (Wr) and the possible
          or theoretical (Wt) of the set. For the three cases under study, the 
          magnitudes obtained are low, being lower than the possible values that 
          these three sets can reach, it is due to the low utilization of the 
          coefficients of working width, speed and work shift.</p>
        <div class="table" id="t4"><span class="labelfig">TABLE 4.&nbsp; </span><span class="textfig">Productivity of the three groups evaluated</span></div>
        <div class="contenedor">
          <div class="outer-centrado">
            <div style="max-width: 1160px;" class="inner-centrado">
              <table>
                <colgroup>
                <col span="6">
                </colgroup>
                <thead>
                  <tr>
                    <th colspan="6" align="center">Tractor YTO X 1204 </th>
                  </tr>
                  <tr>
                    <th colspan="2" align="center">Land plane </th>
                    <th colspan="2" align="center">Baldan Heavy Harrow with 52 discs </th>
                    <th colspan="2" align="left">Baldan Medium Harrow with 40 discs </th>
                  </tr>
                </thead>
                <tbody>
                  <tr>
                    <td align="center"> Real Productivity (<i>Wr</i>) </td>
                    <td align="center"> Theoretical Productivity (<i>Wt</i>) </td>
                    <td align="center"> Real Productivity (<i>Wr</i>) </td>
                    <td align="center"> Theoretical Productivity (<i>Wt</i>) </td>
                    <td align="center"> Real Productivity (<i>Wr</i>) </td>
                    <td align="left"> Theoretical Productivity (<i>Wt</i>) </td>
                  </tr>
                  <tr>
                    <td align="center">17,71 ha·turn-1</td>
                    <td align="center">20,47 ha·turn-1</td>
                    <td align="center">29,01 ha·turn-1</td>
                    <td align="center">43,71 ha·turn-1</td>
                    <td align="center">14,65 ha·turn-1</td>
                    <td align="center">27,85 ha·turn-1</td>
                  </tr>
                  <tr>
                    <td colspan="6" align="center">For a shift time of 8 hours, ha·shift -1</td>
                  </tr>
                </tbody>
              </table>
            </div>
          </div>
        </div>
        <div class="clear"></div>
      </article>
    </article>
    <article class="section"><a id="id0x59a3580"><!-- named anchor --></a>
      <h3>CONCLUSIONS</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <div class="list"><a id="id0x59a3800"><!-- named anchor --></a>
        <ul>
          <li>
            <p>The
              values ​​of the efficiency indicators of the three evaluated sets are 
              below the technical possibilities of these farming implements, except 
              for the utilization coefficient of the working width (<i>εβ</i>) for the
              land plane the utilization coefficient of the working speed (εV) of the
              52-disc heavy harrow and the utilization coefficient of the work shift 
              (τ) of the three aggregates.</p>
          </li>
          <li>
            <p>The working depth values 
              ​​obtained for the harrows analyzed are low when compared to what is 
              established in the technical instructions for rice cultivation, with 
              magnitudes of 0.12 and 0.14 m.</p>
          </li>
          <li>
            <p>The magnitudes of real 
              productivity (Wr) obtained behaved below the real possibilities of the 
              set with magnitudes of 14.65; 17.71 and 29.1 ha shift<sup>-1</sup>, respectively.</p>
          </li>
          <li>
            <p>Analyzing
              the efficiency indicators of the aggregates in studies, it can be 
              affirmed that the cause of the low values is the violations of what is 
              regulated in the technical instructions and branch norms of agriculture,
              as well as to the unfavorable management of the administration.</p>
          </li>
        </ul>
      </div>
    </article>
  </section>
</div>
<div class="box2" id="article-back">
  <section>
    <article><a id="ref"></a>
      <h3>REFERENCES </h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <p id="B1">CATALÁN, H.; LINARES, P.; MÉNDEZ, V:: "Tractor_PT: A traction prediction software for agricultural tractors", <i>Computers and Electronics in Agriculture</i>, 60(2): 289-295, 2008.</p>
      <p id="B2">COMPANIONI, R.: <i>Material para doctorado sobre explotación de la maquinaria agrícola</i> Universida de Ciego de Ávila (UNICA), Ciego de Ávila, 150pp. 1990.</p>
      <p id="B3">DE
        LAS CUEVAS, M. H. R.; RODRÍGUEZ, T; HERRERA, M.; PANEQUE, R. P: 
        "Software para la evaluación tecnológica de las máquinas agrícolas", <i>Revista Ciencias Técnicas Agropecuarias</i>, 17(2): 24-28, 2008.</p>
      <p id="B4">FAJARDO, A. &amp; HERNÁNDEZ, A.: <i>Evaluación
        tecnológica- explotativo de la grada de disco Baldan modificada y el 
        tractor MTZ-80 para la labor de roturación en el cultivo del fríjol 
        (Phaseolus vulgaris L ). Trabajo de Diploma en opción al título de 
        Ingeniero Agrícola</i>, 82pp., Ingeniería Agrícola, Universidad de Granama, Peralejo. Granma, 2013.</p>
      <p id="B5">FAO: <i>FAO-UNESCO: Soil map of the world, reviewed legend</i>, Roma. Italia, Report 80, 12pp. 1988.</p>
      <p id="B6">GARCÍA, E. &amp; RAMOS, J. L.: <i>Evaluación
        de los indices tecnologicos explotativos de varios agregados en la 
        preparación de suelo. Trabajo de Diploma en opción al título de 
        Ingeniero Agrícola.</i>, 80pp., Ingeniería Agrícola, Universidad de Granma, Peralejo. Granma, 2011.</p>
      <p id="B7">GARRIDO, J. P.: <i>Implementos, máquinas agrícolas y fundamentos de su explotación., Ed.</i> Pueblo y educación, Primera reimpresión ed, Ciudad de La Habana, 1989.</p>
      <p id="B8">GONZÁLEZ, A. J. A.: <i>Evaluación
        económica y energética del tractor xtz-150k-09, en labores de 
        preparación de suelo. Tesis presentada en opción al grado académico de 
        Master en Ingeniería Agrícola</i>, 80pp., Departamento de Ingeniería 
        Agrícola, Universidad Central Marta Abreu de Las Villas Marta Abreu, 
        Santa Clara. Las Villas, 2018.</p>
      <p id="B9">GONZÁLEZ, C. O.; MACHADO, 
        N.; GONZÁLEZ, J. A; ACEVEDO, P. M.; ACEVEDO, D. M.; HERRERA, S M. : 
        "Evaluación tecnológica, de explotación y económica del tractor 
        XTZ-150K-09 en labores de preparación de suelo", <i>Ingeniería Agrícola</i>, 7(1): 49-54, 2017.</p>
      <p id="B10">GONZÁLEZ, R. V.: <i>Explotación del Parque de Maquinarias, Ed.</i> Felix Varela, La Habana, 1993.</p>
      <p id="B11">GUTIÉRREZ,
        R. F.; GONZÁLEZ, H. A.; SERRATO, C. R.; NORMAN, M. T. H.: "Evaluación 
        tecnológico-explotativa del conjunto multiarado-tractor J. D. Modelo 
        4235, en la labor de preparación primaria de un suelo vertisol", <i>Ciencia Ergo Sum</i>, 11(2): 171-196, 2004.</p>
      <p id="B12">JRÓBOSTOV, S. N.: <i>Explotación del parque de tractores y máquinas, Ed.</i> Mir, Moscú, 1977.</p>
      <p id="B13">LÓPEZ,
        S. I. &amp; HERRERO, B. F. S. : "Evaluación de los índices técnico 
        explotativos del tractor Foton 904 en la preparación de suelo en la 
        empresa cultivos varios «La Cuba»", <i>Universidad &amp; Ciencia</i>, 5(2): 79-96, 2016.</p>
      <p id="B14">MACHADO, T. N.: <i>Evaluación
        tecnológica explotativa del tractor XTZ-150K-09, en labores de 
        preparación de suelo. Tesis presentada en opción al grado académico de 
        Máster en Ingeniería Agrícola</i> 80pp., Departemento de Ingeniería Agrícola., Universidad Central Marta Abreu de Las Villas, Santa Clara. Las Villas., 2015.</p>
      <p id="B15">MINAGRI: <i>Versión de la Clasificación Genética de los Suelos de Cuba</i>. La Habana, Cuba: Instituto de Suelos, 1999.</p>
      <p id="B16">NC ISO 789-3: <i>Máquinas agrícolas y Forestales. Tractores agrícolas. Procedimientos de ensayo</i>. pp. 20, 2006.</p>
      <p id="B17">NC ISO 4004: <i>Máquinas agrícolas y forestales. Tractores agrícolas. Anchos de vía</i>. pp. 20, 2006.</p>
      <p id="B18">NRAG XXI: <i>Máquinas Agrícolas y Forestales</i>. Ciudad de La Habana, Cuba: Ministerrio de la Agricultura, pp. 18, 2005.</p>
      <p id="B19">NRAG XXII: <i>Máquinas agrícolas y forestales</i>. Ciudad de La Habana: Ministerio de la Agricultura, pp. 13, 2005.</p>
      <p id="B20">PEREIRA,
        M. C. A.; PÉREZ, M. A.; MARÍN, D. D.; GONZÁLEZ, C. O.: "ExploMaq, 
        software para la evaluación energética y económica de la maquinaria 
        agrícola", <i>Revista Ciencias Técnicas Agropecuarias</i>, 24(1): 72-76, 2015.</p>
      <p id="B21">PG-CA-043,
        Sistema de gestión de la calidad. Maquinaria Agrícola, Evaluación 
        Tecnológico y de Explotación, pp. 20, Oficina Nacional de Normalización,
        La Habana, Cuba,2013.</p>
      <p id="B22">RAMOS, Z. J. L.; GUERRERO, B. E. 
        OLIVET, A. E. F.: "Análisis del rendimiento técnico del agregado formado
        por el “Tractor NEW HOLLAND TS6020 y la grada Baldan de 42 discos”, 
        para la labor de gradeo del cultivo del arroz (Oryza sativa)", <i>Revista Granmense de Desarrollo Local</i>, 4(20): 717-727, 2020.</p>
      <p id="B23">RÍOS, H. A. &amp; VILLARINO, F. L.: "Cálculo de la franja de viraje de los tractores", <i>Ingeniería Agrícola</i>, 4(1): 14-17, 2014.</p>
      <p id="B24">SILVEIRA, R. J. A.: "Teoría y Cálculo de Máquinas Agrícolas", <i>Máquinas de laboreo del suelo, pp 420</i>, La Habana: Pueblo y Educación, 1982.</p>
      <p id="B25">SOIL SURVEY STAFF: <i>Keys to Soil Taxonomy</i>. 11th ed. Washinton, DC: USDA-Natural Resources Conservation Service, pp. 346, 2010.</p>
      <p id="B26">SOTTO,
        B. P. D.; BRISUELA, M., LORA, D.: "Aplicabilidad del software ANAEXPLO 
        para la realización del balance en las unidades agrarias de servicio de 
        maquinaria", <i>Revista Ciencias Técnicas Agropecuarias</i>, 15(2): 33-36, 2006.</p>
    </article>
    
  </section>
</div>
<div id="article-footer"></div>
<div id="s1-front"><a id="id2"></a>
  <div class="toctitle">Revista Ciencias Técnicas Agropecuarias Vol. 31, No. 2, April-June, 2022, ISSN:&nbsp;2071-0054</div>
  <div>&nbsp;</div>
  <div class="toctitle2"><b>ARTÍCULO ORIGIAL</b></div>
  <h1>Evaluación de los agregados formados con Tractor YTO x1204, gradas y alisador</h1>
  <div>&nbsp;</div>
  <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:alainariel41@gmail.com">alainariel41@gmail.com</a></span></span></p>
    <p><sup><a href="https://orcid.org/0000-0001-7456-1490" rel="license"><span class="orcid">iD</span></a></sup>Yoandrys Morales-Tamayo<span class="tooltip"><a href="#aff2"><sup>II</sup></a><span class="tooltip-content">Universidad
      Técnica de Cotopaxi, Facultad de Ciencias de la Ingeniería y Aplicadas,
      Dpto. Ingeniería Electromecánica, Extensión La Maná, Ecuador.</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="#aff3"><sup>III</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/0000-0002-1560-1998" rel="license"><span class="orcid">iD</span></a></sup>Peltier Rossi Lino-deAguiar<span class="tooltip"><a href="#aff3"><sup>III</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/0000-0003-3512-7098" rel="license"><span class="orcid">iD</span></a></sup>Idalberto Macías-Socarras<span class="tooltip"><a href="#aff4"><sup>IV</sup></a><span class="tooltip-content">Universidad Estatal Península de Santa Elena, La Libertad-Santa Elena, 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="#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></p>
    <br>
    <p id="aff5"><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="aff6"><span class="aff"><sup>II</sup>Universidad
      Técnica de Cotopaxi, Facultad de Ciencias de la Ingeniería y Aplicadas,
      Dpto. Ingeniería Electromecánica, Extensión La Maná, Ecuador.</span></p>
    <p id="aff7"><span class="aff"><sup>III</sup>Instituto Superior Politécnico de Cuanza Sul, Dpto. de Agronomía, Sumbe, Cuanza Sul, Angola.</span></p>
    <p id="aff8"><span class="aff"><sup>IV</sup>Universidad Estatal Península de Santa Elena, La Libertad-Santa Elena, Ecuador.</span></p>
  </div>
  <div>&nbsp;</div>
  <p id="c2"> <sup>*</sup> Author for correspondence: Alain Ariel de la Rosa-Andino, e-,mail: <a href="mailto:alainariel41@gmail.com">alainariel41@gmail.com</a> </p>
  <div class="titleabstract | box">RESUMEN</div>
  <div class="box1">
    <p>El
      presente trabajo se desarrolló con el objetivo de analizar mediante el 
      cálculo de indicadores de eficiencia del trabajo de los agregados 
      agrícolas formados con tractor YTO x1204, gradas y alisador, 
      estableciendo de forma parcial estos para la planificación futura de los
      trabajos agrícolas en la Empresa Agroindustrial de Granos Fernando 
      Echenique de la provincia Granma. Para la realización de la 
      investigación se utilizaron las normas cubanas. También se tuvieron en 
      cuenta las instrucciones y metodologías expuestas por libros sobre el 
      tema. Los resultaros mostraron que la mayoría de los valores de los 
      indicadores de eficiencia de estos conjuntos agrícolas se encuentran por
      debajo de las posibilidades técnicas. Sin embargo, el coeficiente de 
      aprovechamiento del ancho de trabajo (<i>εβ</i>) para el nivelador del 
      suelo, el coeficiente de aprovechamiento de la velocidad de trabajo 
      (𝜀𝑉) de la grada pesada de 52 discos y el coeficiente de 
      aprovechamiento del tiempo de turno (𝜏) de los tres agregados se 
      catalogan de aceptables. Se concluye que las magnitudes de productividad
      real (𝑊𝑟) obtenidas se comportaron por debajo de las posibilidades 
      reales del conjunto con magnitudes 14,65; 17,71 y 29,1 ha turno<sup>-1</sup> respectivamente. Lo cual se debe a violaciones de los parámetros cinemáticos durante el trabajo.</p>
    <div class="titlekwd"><b> <i>Palabras clave:</i> </b>&nbsp; </div>
    <div class="kwd">ancho de trabajo, velocidad de trabajo, profundidad de trabajo, tiempo de turno y productividad</div>
  </div>
</div>
<div class="box2" id="s1-body">
  <section>
    <article class="section"><a id="id0x8cd6b80"><!-- named anchor --></a>
      <h3>INTRODUCCIÓN</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <p>En
        Cuba se han realizado investigaciones que han estado encaminadas a 
        determinar y evaluar los diferentes indicadores tecnológicos, de 
        explotación y económicos de determinados agregados agrícolas durante la 
        preparación de suelos. Ejemplo de ello son los estudios realizados por <span class="tooltip"><a href="#B11">Gutiérrez et al. (2004)</a><span class="tooltip-content">GUTIÉRREZ,
        R. F.; GONZÁLEZ, H. A.; SERRATO, C. R.; NORMAN, M. T. H.: "Evaluación 
        tecnológico-explotativa del conjunto multiarado-tractor J. D. Modelo 
        4235, en la labor de preparación primaria de un suelo vertisol", <i>Ciencia Ergo Sum</i>, 11(2): 171-196, 2004.</span></span>, <span class="tooltip"><a href="#B14">Machado (2015)</a><span class="tooltip-content">MACHADO, T. N.: <i>Evaluación
        tecnológica explotativa del tractor XTZ-150K-09, en labores de 
        preparación de suelo. Tesis presentada en opción al grado académico de 
        Máster en Ingeniería Agrícola</i> 80pp., Departemento de Ingeniería Agrícola., Universidad Central Marta Abreu de Las Villas, Santa Clara. Las Villas., 2015.</span></span>, <span class="tooltip"><a href="#B13">López y Herrero (2016)</a><span class="tooltip-content">LÓPEZ,
        S. I. &amp; HERRERO, B. F. S. : "Evaluación de los índices técnico 
        explotativos del tractor Foton 904 en la preparación de suelo en la 
        empresa cultivos varios «La Cuba»", <i>Universidad &amp; Ciencia</i>, 5(2): 79-96, 2016.</span></span>, <span class="tooltip"><a href="#B9">González et al. (2017)</a><span class="tooltip-content">GONZÁLEZ,
        C. O.; MACHADO, N.; GONZÁLEZ, J. A; ACEVEDO, P. M.; ACEVEDO, D. M.; 
        HERRERA, S M. : "Evaluación tecnológica, de explotación y económica del 
        tractor XTZ-150K-09 en labores de preparación de suelo", <i>Ingeniería Agrícola</i>, 7(1): 49-54, 2017.</span></span> y <span class="tooltip"><a href="#B8">González (2018)</a><span class="tooltip-content">GONZÁLEZ, A. J. A.: <i>Evaluación
        económica y energética del tractor xtz-150k-09, en labores de 
        preparación de suelo. Tesis presentada en opción al grado académico de 
        Master en Ingeniería Agrícola</i>, 80pp., Departamento de Ingeniería 
        Agrícola, Universidad Central Marta Abreu de Las Villas Marta Abreu, 
        Santa Clara. Las Villas, 2018.</span></span>. Estos estudios se han 
        llevado a término sobre agregados conformados por diferentes tractores y
        aperos de labranza, de los que no se tenía información alguna de los 
        indicadores antes mencionados, lo cual no permitía explotar los mismos 
        de forma eficiente. Máxime cuando son tecnologías de nueva adquisición y
        sus cualidades de explotación dependen en gran medida de las 
        condiciones de trabajo, como refirió <span class="tooltip"><a href="#B9">González et al. (2017)</a><span class="tooltip-content">GONZÁLEZ,
        C. O.; MACHADO, N.; GONZÁLEZ, J. A; ACEVEDO, P. M.; ACEVEDO, D. M.; 
        HERRERA, S M. : "Evaluación tecnológica, de explotación y económica del 
        tractor XTZ-150K-09 en labores de preparación de suelo", <i>Ingeniería Agrícola</i>, 7(1): 49-54, 2017.</span></span>.</p>
      <p>Otros
        autores han desarrollado programas de computación que sirven como 
        herramientas para facilitar los diferentes cálculos de explotación de 
        los tractores. Algunos de estos son el AnaExplo de <span class="tooltip"><a href="#B26">Sotto et al. (2006)</a><span class="tooltip-content">SOTTO,
        B. P. D.; BRISUELA, M., LORA, D.: "Aplicabilidad del software ANAEXPLO 
        para la realización del balance en las unidades agrarias de servicio de 
        maquinaria", <i>Revista Ciencias Técnicas Agropecuarias</i>, 15(2): 33-36, 2006.</span></span>, Explomat de <span class="tooltip"><a href="#B20">Pereira et al. (2015)</a><span class="tooltip-content">PEREIRA,
        M. C. A.; PÉREZ, M. A.; MARÍN, D. D.; GONZÁLEZ, C. O.: "ExploMaq, 
        software para la evaluación energética y económica de la maquinaria 
        agrícola", <i>Revista Ciencias Técnicas Agropecuarias</i>, 24(1): 72-76, 2015.</span></span>, Tractor PT de <span class="tooltip"><a href="#B1">Catalán et al. (2008)</a><span class="tooltip-content">CATALÁN, H.; LINARES, P.; MÉNDEZ, V:: "Tractor_PT: A traction prediction software for agricultural tractors", <i>Computers and Electronics in Agriculture</i>, 60(2): 289-295, 2008.</span></span>, el TecExp de las <span class="tooltip"><a href="#B3">Cuevas et al. (2008)</a><span class="tooltip-content">DE
        LAS CUEVAS, M. H. R.; RODRÍGUEZ, T; HERRERA, M.; PANEQUE, R. P: 
        "Software para la evaluación tecnológica de las máquinas agrícolas", <i>Revista Ciencias Técnicas Agropecuarias</i>, 17(2): 24-28, 2008.</span></span> y De las Cuevas et al. (2010) entre otros.</p>
      <p>Unos
        de los procesos beneficiados con nuevas tecnologías en el sistema de 
        máquinas para la producción arrocera, es la preparación de suelo. En la 
        Empresa Agroindustrial de Granos Fernando Echenique de la provincia 
        Granma, se introdujeron las gradas Baldan mediana y pesada de 40 y 52 
        discos respectivamente, así como, el alisador de fabricación nacional 
        para formar agregado con el tractor YTO, modelo 1204 en la labor de 
        rotura y alisamiento. Sin embargo, hasta el momento no se conoce el 
        rendimiento técnico posible de estos agregados, solo se mide el área 
        realizada al final del turno, partiendo de los criterios y parámetros de
        explotación científicamente argumentados. Teniendo en cuenta esta 
        problemática y partiendo de las experiencias de las investigaciones ante
        mencionadas y de clásicos de los estudios de explotación de la 
        maquinaria agrícola, como <span class="tooltip"><a href="#B12">Jróbostov (1977)</a><span class="tooltip-content">JRÓBOSTOV, S. N.: <i>Explotación del parque de tractores y máquinas, Ed.</i> Mir, Moscú, 1977.</span></span>, <span class="tooltip"><a href="#B7">Garrido (1989)</a><span class="tooltip-content">GARRIDO, J. P.: <i>Implementos, máquinas agrícolas y fundamentos de su explotación., Ed.</i> Pueblo y educación, Primera reimpresión ed, Ciudad de La Habana, 1989.</span></span> y <span class="tooltip"><a href="#B10">González (1993)</a><span class="tooltip-content">GONZÁLEZ, R. V.: <i>Explotación del Parque de Maquinarias, Ed.</i> Felix Varela, La Habana, 1993.</span></span> la presente investigación tuvo como objetivo analizar mediante el 
        cálculo de indicadores de eficiencia del trabajo de los agregados 
        agrícolas formados con tractor YTO x1204, gradas y alisador de 
        fabricación nacional, estableciendo de forma parcial estableciendo los 
        indicadores calculados para planificaciones futuras de los trabajos 
        agrícolas en la Empresa Agroindustrial de Granos Fernando Echenique de 
        la provincia Granma.</p>
    </article>
    <article class="section"><a id="id0x9132900"><!-- named anchor --></a>
      <h3>MATERIALES Y MÉTODOS</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <p> El presente trabajo, se realizó en la Granja Agrícola Arrocera “La 
        Gabina” del municipio de Río Cauto provincia de Granma, localidad “La 
        Gabina”, ubicada en el km 727 de la carretera Las Tunas-Bayamo. La 
        investigación se desarrolló en el campo 96 del lote 13 en el período 
        comprendido del mes de febrero a marzo del año 2020, evaluándose la 
        tecnología de preparación de suelo en seco para el cultivo del arroz (<b><i>Oryza sativa L</i></b>.) en un Vertisol relativamente llano, según la Nueva Clasificación Genética de los suelos de Cuba, (<span class="tooltip"><a href="#B5">FAO, 1988</a><span class="tooltip-content">FAO: <i>FAO-UNESCO: Soil map of the world, reviewed legend</i>, Roma. Italia, Report 80, 12pp. 1988.</span></span>; <span class="tooltip"><a href="#B15">MINAGRI, 1999</a><span class="tooltip-content">MINAGRI: <i>Versión de la Clasificación Genética de los Suelos de Cuba</i>. La Habana, Cuba: Instituto de Suelos, 1999.</span></span>; <span class="tooltip"><a href="#B25">Soil Survey Staff, 2010</a><span class="tooltip-content">SOIL SURVEY STAFF: <i>Keys to Soil Taxonomy</i>. 11th ed. Washinton, DC: USDA-Natural Resources Conservation Service, pp. 346, 2010.</span></span>) con un grado de malezas insignificante.</p>
      <article class="section"><a id="id0x9133480"><!-- 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 y alisador (<span class="tooltip"><a href="#f6">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="f6" class="fig">
          <div class="zoom">
            <svg xml:space="preserve" enable-background="new 0 0 500 99.519" viewBox="0 0 500 99.519" height="99.519px" width="500px" y="0px" x="0px"  version="1.1">
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13NaAgNK%20UOdl1+nOBYBhAQJghQAQkIMPfBaEbsgyKw6ghZlQRFRTas2tYlNaMF2jHIxyDFjKvKUdxQj/HrsK%20yzcM2loz9au2sm1hC2U7rSImUbdE5GGglThGJiYXuoZe4ioasOhFg5TRSXT0o13q6EZH+tKPVmIT%20EY3o5h5xuhpwQBER+gBDYO4fqdIuT7uLDyOEAB881QCsH/BeWps3qLCGNXovCetX5/rVwM71fIdN%20bKIa26jINjZ/1ZvsAis7qfr174EdbGD1XpjHYl2whBOsbduxFUNBMsSHg2mJFO+yxcWk5TGFGct1%20s9vEyETmieEN723ymJyHDbK+FSvOHl+z3+OcYzjbfeQDTjaB7GygPBeAAAE43BQOt/JnO7jPAni5%20RA9RjQnVMSyTfEdL13AjpjJ0WnVIB0Yn/6eKriKClV0lSwHkYW1rHfDaPbvQhTY/kxCDuFsvMpGI%20v8VioQ8d3N42cdHI1aKjFd3cpSedt0bvNNSxSF1soStO0KJXQYLEje0KQ9bzLel7twvsYKfXvLu+%20r7ONzey175fXvg623IVNd17r2qlOdeR+EYxfaMuR7+uV4yYFD2FuA9nBvdswWzzcboI3vpfubrzk%20G/9vbIpznPievOYlb9dYdv7zsfRxhYnc7jl2fvMUnmPo6Zg+JCMZELhY5zoRyAYoO3zibsCyAPYg%20ACRY+QMFGABFSsicjj8JV1oqLZuzYyO2zMP5qF1LUyhTkXfIAc0pSAHyJUKTlhiEHDqAuf8NZ8is%20F5rf/DPMlqBveMYdFvqHfu6ht+Tv84hO0QgNeFxwj4j0LHqU6Zb2XJC2dFMXdYnmXME1RA6gRuaR%20DWKgAKfGFjr1dRRoUSHAM+Xla2c3bL5WYG3HX1AVYG43gm83YNW2YHu0YCHAbUk1bdTGYIgHYaI0%20g0p1OxY2O610DYx3S74wS5SnS5IHSBQWekSYeteEB5iHhOOkhKinecQUeZoHSMSUVLYkhAJHhBUW%20engghHVVPJJ1cLIHCG+ACwgEZVjmBh2QZfmUA7fncFCQEKVFcsJCWlYyhwTVFNYnB3IAfQ1hNsVS%20ZidyEO9QDtknBymQBmnwDh13Fp5CDjD/91qxlQ3MIguwVYl1JnM6h0M9xH5mdEPz50Pzt0SB5mea%20NlxStGnGhXRIh4BKZGlG93RF92dTBFw89DfAtUQL6GcMmHXYFSYL+HVGFDTTNYzESF1GZIwacIFC%201VO3loEZ2FPMyIzO+EcheEdWSGGiJIPaiAEhIDufw43emGAryG0JVo4LdmFolY7U84LnKDuKBw8K%20UAb00IPlREs+KEsrJnl31Hj7OIRZqHqjV2FVOJAURpAnxm7IJIXFBE4LOU4tFnD+GJHtZgRFpgTv%20M1lKxgYAAAiDAAjOsAhzcHsfoIa5pwYfsAc0IABq4HDBRyqJwh1oURzdZ3K4Ima8UhDS/xETZwYP%208WAFYtANQTIPftgVZaZ8VVKUEYFml1EZ8ICIhzgJk2AFKVAZGgEP6WAZGrEWjqgA1iBzdrYNzFIe%20MQeWdjZDZhIBZ5mWCXVDEeCVaKlD2fKWzkItPXSKU/Q3zeVpU7SXeOlEiaZpgFl0D3BDg1mYPCRq%20iFlEAKMtiOkAENiLX+AAwhABk6kBx2iZmFmMmpmZQCMM3+WZPTVe/xGaX/cAoEmZoGma39WMSfVU%20T5VU/dVfIFhUo4MBwpBHK7iCcZQECcZ3BxZVMGhhwkmO7bg+6Sg7ORgPa/A5PDiP87hi9LBieJAE%20eDCd1QliNlAB2XmdW+h2qTd6qQdic//UnVu4bk8IB1uYYumZAVtoBOyZAe7pnu35ntXJnus5kTa2%20TkcWe5WVQIOgBB35kY7AhreHhllmkiopAFmWZVogfDMRZppBKm3Qfa8xE8SBK7mSfe9AEEMJEUd5%20k5IxLB2SBqiQBnKgAImIK3F2QlO5lJWRBlAJDVUzCS0qHN8Hc9YAiWC5ozzao2AZWy+ERkLaljeU%20Lernfp2IQ6IGXKLGRH15XERHXE7ql3jZl3ZZpXvJiZqoLYfZQ86Clt6iRmlyU9PxD19QDPpCmcF4%20jMPoAKH2pm4ap+qxU8d4LufRjHgaAhEgKNOlp5MJL6sZVJJkR4IqVJJ0qHnajINaqIz/iqh15AvC%20UEd4Z0ekU6mpw0dR5Zt0hIMckgZrQAZJEDqhWgGgmgT0cEfUaarquaosxp1b6Eew+kfTCZ/wGU5G%20AAethqu3ql63qoRKaKtwcKvCGqzEOqy3WqvCCp/xiazHagTs84VJVlmDoE7KoATOwAaLsAgfYJIL%20GglpqJJugARuEAluoAZcNgADMBVtEA8r6g5tkAbZN6EXUQ4TSjJSmX1WYAWfkH3at3zu8A78iqEg%20uhBVspM6OAkoegqTMIg1mZRUgpO44g64Moh9yCvKZ7FSkQKxcH0DIAcmkAbQcANrMLKTYAIIMQDl%20gLLwoLIoywBy4KBaqQDgoA3ZYA01/7ujCuCjO0oePNqWPMqzYqkDbek25YGWEVC02FKkSduAdNlQ%207KdzP7dEtFiKVMqXd3mX5gFEfbakdbktiZkt23KYbJm0m1hTZEoRX/AvsiAM/zKMQxQB4nC0EbAO%20cku3mmmMF3innvkfgpK36TFdkvmLkgm4e3qnfBuoiXprd4oeoRYCOxW4O5W4kju55iVJe3dJqNRK%20/yBuoTqqoHqqp2qqd0QG1TlLKRadqHtL0slH7pkEFPmqi4SrtopeuAqfvCq7vRqsSGgEuwtOvBus%20vhu87gm8wGsE8bmsxsuet2oJBvSFgIBAiwAAg/CRdlC95uqt5TqSkcCtWQYKbqCgDf8qEDyJCikQ%20Z9jQBvkaA1YArxZBiGkQA2awBoeQr6hwCGKQr1bQsA7xDp+Av9qXBqEAsP1aDhKLoQCbBlZwDWlA%20BvqgAAiLoRwXwThJkzXJvwicAobQv2lAwOUgwIT4CfCaAu/QBgOsoeUgB++rsZMADflKBtCAiGlg%20AnLAAClgAjassTWMwFZgAikgfDfKldtgszm6o+Cgsz8bljHHWj8aQ0OLLUosiVA8REJ7lkLLWolJ%20ize3RGcStVqbtXxZi16MpbM4RaKGpbY4mDsUtmr8pWObUI9pEOogHnratnS7DUNrCHJ7t3cbasS4%20gHo8mXr6AMaox3KaH1/3jOUFjaD/GWsVSIGqmZrftafSWLm3tqhB9biUq6gh0BhUYQVmALqmSgan%20Gjr0EDqiLMr0kMqqTA82EJ2tjAetzLuyjAeybLy2bLzVmcu6vMvVSTqs6qrUOVK3KlLYZMvehWvw%20mcuW+2oe5axwUAZJpk7T+pGL8J/2sAgCYApuAAqUwAOUsK0doAYdAApqAArmHAzBAAoF4A7g8Q6T%20oAzQQMIjBA+xkADQYAD4vAEmMAAvwM8bcAMGsAIoAA0TcAjQEAMIjQI3EAvYYAIvUMMDwAAJMAEb%20MAEJkAAxgAIoEAMYTQD1/AIJQAAxMAETEAMEYAKxYABQsAEEYABAgAIXTdEJwAAg/x0LIH0BMZ0A%20JhDSBHDRCRALO00APY3SPp0GF43SLxALSl3P9dwLx3AME3AMPl3PHJ0ARq3TNhzUPa3TSW3DufEk%2079ANChAP2lDWZa0A2qAAXJmzYMnWRoxDXomkci3Xm3hbTLTFPMdzStSXWKxcxnWLdc2JZTvXSpq0%202eI2DgAOZMoW5BAP+yIL3hDZkQ0OlA0Oki3Z62DHhDxdgtymx+jHeqzHnY0u6WGZwTheopmMql1e%20yZjIF9jI6JKanrm4mZynkXvby1jJScDJ1+DJpGqqvnAKoVrKwx2qqLzKqIu6eKDcuTzLypvMuMzL%200t3LeARi1MnL1BkCq3BNtrwKi/9GkRmQLuz1qtPpH92VAYtmCWUwrdILAIvABnbgDJawD2vgDGwo%20zt1MCR1ACfltzufs31pgL+2wBvtwA2kwv4cIDRuAAgaAAzuACDcg1AwQAzcwAfe80QSQBkJt1TEA%20DSf9sSKdBi/QCwkg1RgNDTuAAwTN0TZczzzt0z2NA1BwAzewA0BwDBtQ0cdgAiJ90iEd1QSw47HA%20AEqd1CCdAC/AABEN1L3Q1D895ClA5Etdz0/dC00+5Uq95Fdu5FYd0jYdC/TaBpZREO8QD2Rt1mYN%20cziqA9oQxNvQ5jo713FN2Ej6loGttUzU17eoaU/q13mepVLLc7hF50qbtG15tI7/SaYF0djy0Oje%20wA3ecA7cwA3aQOmTfumQzg2QLQvr0Lag5tmmHdqi7tnq0TOT6Znj9ciq2dqtvZrJeB49pZp8u1Ox%207ri2jri1ncmdw8n/YAVrAMqgSwY2QAbCXezCTaiDasmVawNJwOzO3uzNTqg2QGzzxXZClV7Gu90m%20Fazajg8i9V28WwG8KyBAxeyds1MTEgJAJV4Z4DO+UChicDu4UAvuZAfuNAjF0wiA4EDczN/7rd8e%20sM3mrAbBQAnmLAEgkgLQoOIEcAiH0OEoUNEkfQMKLdI8PgEgXdJP7dMmHgs9PeRfzvExcAwosAM7%20oNEWztFVHeQ+jeQvMAE3oNMI/x0LE0ANHh3SJj3R0KDRO1/SH5/UF50Gx5DhLQ/UKH19KZuy6Crl%20x9ALDKDksSB8uCJ8S6/kVt/VQ67kVA8VZJ4CY43maa0N4Sf2XUn2YemjkZj2lRiJhD7Xgt7FgQ7Y%20fx3ocN/F7DeKWjrYhO4sac8siZ4hySIP8eAN8hDZ5xDp3qAN8lDply7pkn7Zm263l7nHbFqMnHmZ%206wLJPGWam++Mr22aqq3asf5dqn7JhytUkavrnvNIfJRspKN4CmwGSVDssy/solz7p1CqIcDsyB5U%20NnBrhRL80f77zA7Luz92sCaNvfZr4aXtw+z83j1S5D6eLGYozs4xFTAgsMwn7//lXf1xCvSAAcyQ%20QGHDQN2TQKyQ/h/A397r7+TMzaCQzvEfDAGOFU3Z9DxuBRlu0QkAEL1eJCCQIBYBEwkSDGCg0GGv%20Y9AmKJwwUeHBCcdiTIC2AQWKYxNiaEwQ8tixgg5TEiAQK+GLkBYlJkiTIIbHihwtmogV60XDjSJ5%209ozFoNwAhkiVKi3KYEDPo0ixIZWzdKlTpdi0anX379+7eAq0ddNWVptYsTqsKbC2ra22bXHlxs2m%20o+5du3nxisvW1+9fwIH9NshG2HBhxIYVF1bcYLFjxpEbRFjclzBiwZn9OugboW4EHQ4UkPPq1R25%20sLLAeWMNbhs4cArAaWNduzb/N9brZOmO8CDC796+NUQYDrx3BGHIjxsH7iCCcwe+nT+gTl1Y9BAh%20HmTnvp26gxDBqWvPDh78+O3mQ6hnv949d/jxQySZXz/D/CTfrl37Z8XMqSQApCeJAW0gMAkD6TEw%20CQYbpI+++ugDEEEKKbQBFQYNlG9D7vAxwkMjjFglRBJJnM8GMcS48BQyThGDjDWseMeKN0jxJQk8%208HhAAw3wEScEDKxIw5V9mlCmjgIEEYSZWmDAAQcYPuiAh0go4aGDSNzA0o1IPogEDTeQiESNYEaQ%20wJ2usIklgV4IiqGkBLJwyKaCUnKioZMgguAkRY6BoCQ+T0Iho5OOUagXBgRa/9MllNh8IYs1DZ2T%20gGNMMLQXSxFa9NCmGPDUKqQ8dQqrpbYaYCpQlzpqK62kUmrUUK1i1at3ulEgHrPMQostXs+a69ds%20tgl2WGGLJVazzPhSNhu+LEvMWcwOk9bZaauNFjNks80rL9C2EY0c/ry6hhxDDJFlG2/OVVcBdtGF%207TVv0GVtt22Ys9c435a71951IqjXX+ZkiUDg3xyI7uAHzEtYA4Ov84286r7T7jnfpBMvYondA++9%20jTfe0IYQ3tnvnzTMGBBAlA8UMMAGUZnP5STECMFlmmc+BZULc04CZwsh5FA+fDwEsUQSqTMiCUNc%20E+ssBWy1Qh9sUsAFAxRt0P9xlVXw0SBhGv2A5qQJCLigCQMuqCZsFPjJQQABIskykg7Q6ECTKT0A%20kxhQkBhhBD/Q/AeeRAliiYBe2owpI0pTGqjQLCDoxXHHC88i0WNiyeJSUTMXtainJv+UgSx+SkpU%20hjK/CivNQ/3806RKlWqqdAaISnVVGWjjVKRiH/WFnjz1ySUTbh8gHWxojQfXXM9Knq1t4HL+NejB%20sWZ66qu33ppsAVt22WenvfZ7a8OHFvzsA9PBLtDq0sHb0cL1Sp3j48FtNW1mgy0e2PLPP17X0lXX%20/4H9RmADJODAtjHAgclCgQuUhW0cWJsGsuY14FCXuhwgiwsaTIPr2SB4ZDH/MfNABzrPeQ4GSSjC%20hKXQYCqsGHEOBh4x6Ic//kFZi1h2CgDZIIc45GEPcahDINpAiCAbYgiImJ3tDFGJS7Sa1fCAISEi%20SIkzM+LMrJACdbxDZPCYR1XgATikJCAFcmiHDmxghAesokcOSIMB+PGIKsTRBXOsQgtaEMcqZMEH%20c0TGI4pwAg6AQAagGMER9nYEQ4KCEGUiQTq68hQI/MkhkQTUSRLAu4fAKQGOy8LjepGFy4Huk6Aj%20ZeY6ecpSai5zL0AUA0SXqFj0oilPMWVJKjKSOfWEJpIqXKd8QipP8Q6TPPHdC3jCOxP8xCW8E4gs%20MamQGBAgBcMr3ldScLzk/5UlDWexRjbh4hpwxqUt43RLOcmJPXS6JRvYE4w4trG9bF3mMoMZnzyh%20Zc/y5dN8eMmGA0LTvn9UUx1fICg3DHpQbnQjoQf1hjbkwY3VeEMeD7RNAyNIUYxm9IG4YQ1uPPoF%20hBoUHBB1jQK9pUH2oDSF4VnPdZ7jnPAYLAIxJWFMWQqemeJ0PRJzQAxHVjIbouyHAUKZgXx41B4K%200YhKZWoVicjEIeKhiTnCQ4WKuERUyMwQX7iGFvfzxS+eairYgMc15qGDq/EIHw4ogxZ8kAU8ukAV%20nHBBC+r6CC9UwQV4jOQFLtACH2xiE0X4AQeiQAUqgCAOuiAEP9LhFYY8zv8JP3kB5D45EIUMhFJw%20+tMxQHkSSkIAlRABJehQmajJtgmToNskm+6kEklZMgtP6Z1D1jQBFOyjIsdIg0YqpctdakSWDABe%20LKZC3DXZVpjFtV1C0iBM4rIydZi9nVaMJxayeLMsvFrL854nveuFd3rqTCf2jFWs8/alWfcUzDwB%204z18ulef+tyGXYSVF/aRpjT/2A85wkEOc3xDwAP+QjsUqlBuyKN+BnXo/h6om3oJLML+Ulf0Dgg9%206KmGgiLNnzxG+tCFglTE3PiCQkvcjW7IAxW+AAQglGCueHjYfwxUYACdk0DgLDCANUZgj0/YG4OF%20QAzg4m8MENGINZBhEiz/IkOTU6bDU9AjylGmR5UVpCAmGpE6OIqOjnSwnQgMkR4PcCJVzYwHMZB5%20QVKtYsIckARfpEErbWgVPFI1gBcgJQ2TsMEDskEdMQCgBBDQKx49sItdHNoDLKjDHijBAhJUgq50%20lONe53hpZOjhEU147D8GcIw++XWToC5URhRygQ0gThEbUESrK0KNJmSkIhfIyQY2EJILxMkJgMrJ%20BHK965JcwFCg27WnULADwbGJAceYLANYcklb9qlwnsplqGJxjE8eg3KTk25R2qQQQ3lb2LvtZTPb%209DvNrckEpaJVClC8vO1qN3n2E6857W2NdeBb37+ayzq24W9//wUd2Rj4/8CzZ635Zk8v6+uLsIZV%20l/tGfH2GUIDIAmqaa6jDv+H4RoAHLGBudCGkCR1pyWVM0QPqZjcVjsu7wgkbb6wGHB6WhbnA8QVw%204A9/D5UHQbtB0AJ//AvfELEhcNFiNjhg5gZVMP9SfuEA/ubC56LwAdM1r5SrS+X9ImDNw7GfcqCi%20RmvwRZPNzuQWCVVBpwiiDbAsVSFWQKpV9YURfeGLRijBEhioQDZ8oSAyn1mqRsiREZ5KnSY2yEAY%20wIU7ylGOMpACG3IegJ1fhZR1X6MRfTbCTMngjAvAFY9VyMMQTD8ETRRCAmqYQet3sQRKEKIUT9AD%20Mi49R1jcvgVNGMAje/8R6mP4tdWK8LVfPbIDA+zAFStwhQH6FBJqoKAJIWnCR1YABVegYAO0drUi%20PtKEC3yE+N83AAoUEScGOAFsBJB+Al5LDVofY1C4DQrmDFeSGHBu2d6m9p4mEjhla5PHkZQE0AlD%208ZxOOpSUYBPPuQhXWjds6Iqv6IZ4yC550y77KYtzEC9tCK97+0ByCpZiQad1IjgTjCf20ifO6IsV%201AyHa7hjcbj6qi/82gZ2sbhq+gd1uIb/Cgdz4DhzIAcC64ITQzEUQygE8waPkrnWgCgnbKjZUDCD%20QrCRI6hvIAcrBDqga4d2eIcu1CIwfAdwUYf/AkN1YINESARH+AL/IrH/kXMgmVugqUMgq5MXCbrD%20q4ugc9kGQyAybJiEN1iDNbiBJkuySTi7FiEDG2iyJDC7RryQnWEQDJkEMxCDQ5yENCADNnCxFgME%20AAAEMegpB0CRIMOY6iA8NHoAwnsAPCAMDVACWLyAFyg/CdiAO/k2V/oTJ9hFJ4gBHJgENlACMRA7%20LYCrvQKlFvAA07uHSKADAFgGHhiCGTC91jO9JVgCDxgBKqiEH2CCEigCJiiCOWoCNHGHAfi94WM1%20aqAGRWgC+JsAstmBIFiBINgBH2iCVju+8msCaCg/FIACGIAC7ZuAdvyIj6AGgjw27Yu1XhC2S3IC%20AsCtDViBCXgBi7TI/wTItQnYgR2oiA2oPhQgAPW7AHT0NZQggB24vh1AAR/Ats6ypIbUNk+BnNia%20AIQULZpsNQKEiEuBk2FiAOuyJiPMlaXZpqUpC1yZDbOgt26ang58C7cQC3O6HnGyN2AJOHbyC4NT%20uAawi4QrH377lfWRi/Ohi/XRAW2gOD8sjf4KB7d0yx8kB7kcsC74hikEObscOb3khrw0qI/7S8DU%20j6Hbj/34gq/7OsJMTMVczHFJAUeggD5whPjRwpBCuXQ5IHUpoQgzqQaioJizqHUAuLhQAEOQIWyw%20gjIQxCRbAzNARFRgkZsZxhSZTZyRmdkUskM0g0PcMyUghUmIhzTYs/81aIQWUwJfMBgGSTOP8Y4H%20aABWRKMGWEU8UAI2YANLGIALcIMCoMiGcIIscIImcAUJEIFAUAMhyAE3QIBFmAI20AExWAMDEL04%20goBNIAY00IRlYAZmWIZl1ARNQLRDo8bWm8Yh2IUCtRtdAIEAcCRPO4Z1JD58XMfw84ENoIbkOzbk%20Mz94VEgUSD4D8McOXcmN2IiP8IFBMZSKqL7pIwi/8rXiI4AgmIMdEBtfi8g+aQIJ0AID8DWPAL92%209DUf6EiFgIYV0IIV4Eh7EIF9MFFF6KRcK8DYMhQ/sRw52RPHMa1C8SxEiRRTO4k3MYhVoRUKtECz%200IcyvcDkacoOfMr/NXXKpwTBD/wVfVsn6tnKr7xTF6RBETyfPd1T+4qL9VEAHag4r4AHtjSrcJiH%20t1zUjfMvIRTCoYtUohs6kQupwAzMAAswH4TLr5NLLQIXwiyrrxoZ/ihV/uKvUM04x3QEKxgoSCW6%20kOK5iYLDeKkgzASYCqswCLLVeCDMfyCAMlCGJ7mBNUAB1RREGDE7HzCAADCAZUWBTTCATWgCaq3W%20RziBHiiBE/CEIgCBEwgAbg2ATQgAcg2COoC0IGgCAvjIG2gCW7M1FICGG5AIaJCIN9mAAgCDQRAE%20AiiCOIiDKPCCSGoBEvCBFggDCxCCKPgDDzgCD6AEAegEAbCCQ0CF/4KQzzhqgUCgARqoAxwAAwSg%20AB6ghD/IAwO9h3sYApRF2WW8h2os0DxYAAmEB/lDSI9cx+j7UAM40h2NR45cVhONPmrI0A8dlIgM%20m4REAZv1iFSbCIuUtaYNmwQIAhjYgQ0ovw2IgQDYga31gxyAgSDwiADo0CBwhQtQBB+gBmZzgo3c%20UVbbgRJwBSKxB2RTiIgk0aj9ic3xJFAyHIdkQEBhE1t6E9EpjXdwt3dLHjM1C7KwwMbVBm6A3G5q%2007JonuZBS8v1wHMqJ7k4pxJEJxIM3RLMDK9Elm3hJxnsi7EMS9YFVNdll4q7hqBEVR5c1Lf0r29o%20BwHTXd01KJBaqP+DOjAj3Msu6IbibYcu4MKO6zgAAzCuIkxyaAfFLCvqvYayOlVfNdSRKYd/YAME%20+AKwiIcsRKiHwqjVsKjO5EwMEpgLKqEAqpd60SAF+LqAsgJEEFZBNNZjLUQnkwAS+N86kAAhqAMh%20KGADFoIgiAIOWGAQqAESAAESUGAW4AAS4IAzIIE6ONc92OAFEAEPBgMYqAMAqAMoKAB7UAYUuIEd%20KABnKFI3cAMJAAIRkIEoaIG/EqwiUAMsYAEVQKQR8AAVAAEPAAUU6AAEoNg1GAkIUAQ8yoJHUAE1%202AMo0AIBWARTEAA1QAOTRdlhWFmU1QRm/ICUdT0PyAEJxIYYCNL/76vQIHUF5AvSlaQ1DH1j6iO+%206FvJj/C1PF41d421j7zakESd0nGlAtzIjpzIFSiAAggAJ7iAHZAAKFiASNiBOhCBHTjbJhAtUIJI%20llDXiJy+PfGBFZiDOdiABIAGjkwAS5kIWoOUhAg2PnnQnLgUVupJKdWIlhgAwx1Tb1rcXHncsSgL%20Mp1cNaXcphSvzW0Lzu3cz7WGgRPd0B04ryxd1c2n1KULbG5dfrMGtRjLtaiv2J3d/VDUeShnRW1U%20LuTCAvs5LuSGdhCxEnPnA0uo4q1n4+0GA2sHfdBn5E3ndK6HdpCDa0iBFNgPgaZesPqicoCHcsCG%20hoYHrYBoiSar/39wBzA4ACvgL7mM1MpMMBljwpJSl3epoAvCoANq3xtDqZ7yQzMAA0UuACgYBCAA%20gkFITTM41jUYA1pgBEagBZ/26SeghS3Y6aH+aZ/maVqYhZ4eAy4YA6d+aqf26S0Y6qme6ieQhC1g%20hKFuakngaZ1+hmf4ai64A6feglIghDyIA0KYBUmQBCzAAi4ogk2A4CyQgBwwgBvAASiIT9EjNFVA%20A1BwEgQwBVPoBFP4gD9gWGzERlCghIcNBFCIGwN9vRGgBBjwG5pdgyAFURQY2zXOiRigNWqtiD3x%20k+BTBHYMPujbAXdN0VQL7ReYgBuYgISQ7fS7kwHgZLzegB2Agf8F+AA3cIX0CwIJCIAFoIRGcwMR%20uIBd9CsIaGRFGJsCmIBG9isngABX0GswMFIgANlDIJ4XSAcGMIHmqpPd8r5ByaxEMS3BpeU1yeVq%20OlwjdNyy0If5ftyhVKhgRtNccUo1HSeqRJdtGIfxGidxQAcCn57PbeYF9wu96AtoFkG5EEEKz2Zt%20Fktunh61sMEblN0ctF54SNR5qId3uN1F7bh2EMK/5N3dzd1vIEIXZ3EuBGgabweA/mcbl953eAMl%20EOiDBqt54KIvSoeJjmiyOvI5ewdASAQzUIcdnMsR+zDcmFUmVA3OxMyTzlX1Rd+4kAXS9MM3MAUE%20QAABGHMzF9b/Rog8JFuDJ+Bpnn6CMQjqpw5qWqBzWpAEnwbrPHgGRpiGO/jzO4AFWJgGWLiDaXgC%20QmCEJ3iCLdCFUpgFOxdqSddpo6YFnZ6FZyCEEZgFD2BrSfgBLmjrtj4BUj8BEggDCVDkBeCBHJBP%20uOKAyIYCHOiERDiAXwAFN/BhSrhGUFCDxu51x6YE03u9PKAEM/aKyUNtf7RJdqQ1eEy17TPvjKis%20UWocZosTOVE/k6SUCUg1Sim/dmUJHFiAC7iBfexQAxAbA9CCBRCAA/gAEmiCACBuSc6BApBkHnCD%20QMgBFiiBuA0A8AuCDxCAIGDWAPABHygBILiBAvgAUwBZHgAA/xNIB+FxlVDBrAKEP4GwyHIzrcnx%20HJdwil2uwF4+C31QgJN/t8ZdeXmb3DRlU/9OZjgFcGeOcNFtcMCgZr84L/SqcGGReaDP8A1XAHB+%20h4AS1cXcwbJSB3jYwXLIuKbfD6Z3+oyr+h28eqvPeqzfesaU3XdABVMAhDYoDQYd+zZwh3QIBbVf%20e7UngGIgACURhGqohloAg0iAAUEohlA4+0/4BHUwhBjjKNxwgHipKG+IAN7AVXu5MeLYlwgIh4Bi%20gCBQA2MwhmCghGBIBRDY2CtYYBJggSLwBC7QgyfghDjv80PXgzjnBD2QhDHoc6dmBDxnhGwE9Bb4%20c8HyAhfYBP9Nj4It+NctIARCwOqpVuqepoVnMGqdXv4tAGuwvnNK/2lG6AFM4AIuaAU90INW8AKH%20HTSMZYRnmAVPIIU+sIMpWII/EP5SoIQ82JtDywMVgHXHlsYZ+IVf4IFfEICtgIdTBghqx45ByHLM%20B4oJFy5MCNDkQpMmihIwTNBroZNjCZxMcOKEgJM2IZ3EMGCggJYmCVCsQKEFR4JyOAoAQACmFpgC%20YA7cSFOmAKA3uIAMYoMAAYBFg2LcGGQAChQtMKDMAQMAgBYgO1ZI2KNGgqIJA3c0qsXGkSNWB1gV%20+NTGhIlPDNowGDCAQZa7A7I8fTEgBoEYDBLATWEiBQMTek3/WCn3z92/a+9SdKtsWZu+bpg1c9bW%20ubNnbaJHkx5trTTq1NZWs25tbZs1Ha9nw4ZN+/a23Llx49bt+7dvBduEEx9uXLgOBQqsKUieXHm8%20cNf+Ybtm/Tr27Nq3c+/ufTr4yOL/lXvj6NB0d9j+/Uvnzl26dKHafCqWSVC1arUECYKxbM8yHxyw%20jFqROCLIJ6F8Io888TToDTjbOLCNLN54U+E6EWSYoSzryBLBhxyCCKKIEZg44olfXIPNAAGkYowx%20wcgYCI170IAEElfQQAIHT3AyBifTjMHIE2NMM80TT2xBxA9CjjEGF9NwIQkXYzzTSgt3aOlCC8gg%2048UmwYww/0scI4xJyCxcbEHLFkdK8qSQtDw555qSPEPInWtuscUYtPjJiDSeaKklMnd4kccuPmRR%20BaOLMjLLGJ448ssUUyyhwqPGLOFBHnl44MEIKoAwAiVLDDHDDL/MsMQvCLhTjnrQJDRQFrVCoNAG%20ESmyUAAlBBERCjegQA0KPgSxwwVhTWDADiZ9QkA1WjBjUq47BLGBATcQAA0iNSViygG3mGKKM4co%20g4MZN+BgFhuLOIJAJ6ykccMBPECBwxwozVHVUXt8EAkMFwTxQSAXMACBH/t8YQYgaSXCxidm1LIA%20EM9+csELCUyAwgYJHDOBxjugQEAsJhzCQCxtyDFAOSYQkP9ALITFcEgbkLFHTmUpYDaaZvp4xhnQ%20oX2WGtFFE+0a0qvVlvTSTfPmNGyyQZ2bDrpVvY02WGudNddbO6eNDmAroI0h2rwzHTzhqS3e2m2z%20/bbba7M3N911s+fYP++YUgbdNT9WnwHM4KcfHXSw8sFRtwxzzz3DzDDgAbzcc4sjuChoSArkkMPN%20N/LoIAs34Fi4zYWymP7hiSc6kDrrJsqyOuoRfHONXS7GkYoucahgDBYqkClDHBZs8YMkhfRQhCfJ%20RyHJEZt48scuuwwhvQdDIKqJJrvcowkxkHjAPRqahB8JEgKgcU8kxGgSiS2QQGILCGfIL38PPVjQ%20yhlc9MD/xZQ9SCLDLCQhP0nsj39r6tMYWnEHBd5hE5sQAhoo4YQqLIpRPmDEMxixBT70gQ122AUh%20GMEIXeyCBx2IBBp44AE0uIESmlgCqk6VKh7AABs2xEYZdgANgnBkK0zBgVaasIEAGGAFWgADGJzh%20jEVk5QYbmABTqrWVX00gCEEwQBOYZcVm7UBkKyjAAj7ACgSM0RQL2EBTaLIIBNhBAGM8wAGWgIAY%20wOAXQzgADGCwAy0gIAdXQUR/OtCBBYhAAlqQQBNecMgs7CMY/EhGMnxQBRckQxXJYBSjIFAFCLhA%20ERZkFDUuoShFPMIABGDAC0xQl5hlLGZmMMFj2DOZymSm/5aZ6cYtLaPLXVamaPHQxi+DaTTUJA1p%20spHabZ6mzKUhEzi1oZrVmuOcaUpTmsxxTjWbE53pVAdudvsmOMMpznHaDW//2Bt52hBLKyCiDFZY%20wAKWAYlIaIJxFDiVDIcwBMfdAgHLuMU9eDGDWwCAGUrARRlwEQJuhIMbnPMGNyBqoYmWznQUGtHr%20PpTRbERgGyAy3YjIsSIGBOEIwVCBLlKhuziw1AL8a4UklneGQshAE57axad6YAt8zmB6iNLnLmzR%20Pu3toqdG5ak+Z6AJHkhPn/pEgxBOcIRddCp6/iCEJGYhAyxgYRY9UKAkdjGCLUSJC3ISEiPMRIgR%20rJUQkP9gwS7+cDBMQuCCzxiDJCjQQTvwgBFDMsYQOrAEnHbADRHkQSRgaNSeLmER2FCnTN6AAgPs%20gytaMMAGcPDFlmxlK1oQgADAMAgkQiFYK1iBAY6xAyhgMQiuQEGzDBCAIAgBCkFAQRMmu6wVwMAq%20AAADInCgrZosYBELyMkgBgGEcQlgEYsAA2gPIAAo7OAGBsgBKxaAiEPcoA4CQAIMRnaBU84BCvYw%20BiWCsQ9Msre9jcrkewtShUqkAgW9GEACYuCXAVwgAQlIzCFgabNZ4hKXmykwLy/TywUHTTPDfLA2%20iska2Uh4mRaOWmyY+ZptXO03GUaOcaoG4uY0B2zXJPH/2ahDzhWzuMXsWQ+MVSzLFLCCb6/6Rxl+%20O0ZHUGAYAo3hMHzMiyAPgwK3OAAfDpAIVjiiFqzwsZGZbIcDOKIR32joN7TxDYdymRvakIc2vKEN%20cJC5zGYuc25kEY/TyYLM0rmLK2SgAq5SYRa62EIpSvEEPbSCC4S4afQC3VQPaI+nC6jFB1DFA5x8%20ohaC00RPnSrDGTBuBjwY0DKWEQkezKADrOjAPQrdU0gUIBImEYAMIHGGahTCqTIQ1BkGxYVnqHUE%20/sgD9pSaBU02ahN4YhMfEgGID24BFrSIg6V58IslmFCQhVWsQIfxi18IYADpoI4ZEAGNn/y2FsUw%20wCBo/1IAIBRgBeTmoymUktx2AnEFOKDKHOxhDz+UwBVhEEIdSFAHCUhACPwmQQ7qsIA57GEBMAAk%20GnGghQ+gIAEDYNHDB2CCBLzgBbxNDBRWIACUEGAAEkDAca/VhoqDxC6nhCcYpnwABDijtNSgRjJc%20wN4WYLIFMp8ko26uCiIcwyO5ZYgBlHUMprQBGzb7QjtSoA+dKb0bSm96gqP+M6EtWDQOhjBpThM2%20rUc4wrH5utMurExkilgHZT9OiEls9mpSc+1tT44hFJDi9bjYxTG+u4rxjndxWgEBuJhbOcBA5Gij%20anFFvsWRHWGUI7MCDGhZSy0MAQBW3GIGQ6YAHKfgCP9tYLkb3/jGF7gR+i5zWR7ckEc3SN/lczAo%20Hl9gUOjCUQ4W+aAGUbCAJHIviSSNgc+waMWfPRDq6E3PH5oYggeIoWmjfgAGrEAVK5jBCjo0uha1%20uMepmkrpSAjouI5YhhsPdwse8EBA+ryHUjuAWALUIRLRE8IVEDWDTp3BE1toBQNdAAst/Q8N0fhe%20IQRAJSBDr2UQIxDCPTgCBiTCEGyB/hHCEAiAG6gfD1AC+ZGf4wAZD0QgPNCdGQDBDdwAIgCB9QkC%20DoSbFgAAEADBBmwAECDRuIABKdSCcK3BIbzADQhSDvBDDqgBP/BDIORADrCACAxhDgSCAOTAHiSh%20EBT/QBAcgiAgwgLsAQyw4AugUgxgywhCwQbYhQHAwAAQAAwkQB3ggElcwA4sAMjVghOkwwt0XF00%20wQ4MABAgzgFQQAd0AqtQghuogRo40iVAkgu4gBcgwyC6AAFO0iV4QRX4QCTtihCBxAVoxARUIjQU%203dxMRjsUWC1FnS51IoIlmNCMItaJRmx4nWscE9gZ09epoiu2IixGDYfNYtWIGC2mHYchB3Kcndqx%20nQPIHTfVnTAO4zg5Rjyg0z+0gTqUQSc4zjDcAgf1QT+xAQA0DBsoASk0DCuwASAAAhtMgR0ogSGg%20hSPcQo/xgpJNQSIYwjV0Qzi0Qzt83uch3RfU4xd0/8M9biI+Ol03bOI9blk72GNAfkM3XAM82EUT%20nED98E9Z6YGPPAGVEFr0eAAkXIEM7EEYkMAuuEEOwECiDcEvLNEBFF4HqEoYUQCnLcFgBdoHLCHi%20gNYHONul8ZPiGBnizQAFqMUvxNEMLAAMnYom1AELXAEHeEILZMkdcEkPEEKgEUMhNAEJgAI/dFIQ%20sAAj0IIkXEECAsIUeIAkdIkaeEAggMIQLAEojOWmKBaqDBmrCIB7lEMKnKAyGFEBGMAhHIIc7oAT%20ThYBEMBTAIEEAIABxIDIMEvDTYAfigAP1gCNBAIJsAARsoAElIAQsEAYnIAEOIQPGEBXUOEKZNEK%20BP+BFogAGMxBDnzABObAFaHAAuDWAjzFBrBfASACAQgBaImAATgBAxCAEF2AE7xAEITfGH2aKYwg%20NKTBPkDBy2mExzhBL3jMrhwDREREAMyBGgRCIUlAATjEJCoCNTRBDDzcgKVACrSDHGQGZTwdZXSD%20HFRGe6InLqVnLnnizwxNZ/zS2ORnhOmnfmrDcoxNcjCHfwrofw5H1gTof2IT2oGY2XFYLaJdLfYi%20Nk2ohLqdFcjdixGjhm4oe6RA3hyAGeRNCqDCG7CCHSTCAVyjIyhZk+ECLijBWVyjN5qFNybCw5QB%20N5qBB7ECBSTCkU2BGMxDO1xDOJBDkRbpN5DD54X/A5MaqeYo6ecp6TvI4ze0Azm8wxdM6ecZ5F34%20AAnsTwFxwo/ogR5wgiQQgfREDyR4QRGwAAmcQA1QggCM4Q1w2uNQwLShCqqoiqrwwE9SzxIIgAgI%20gBqiprNNYCeYY5EtKpRRAKo040+W5QwUFRrsAiX0QBxgwf3ogZZYAPVoQiHsgRCQQA0EQyrwgxr0%20FFVJwj10I0AdAZmCQCAEAyh4wKZQgq1u4GLxAi+AZA7AA3VggxkMAg5o1grcgCDUQl5KABTIIW61%20IBplIQ70ZSXuQABcwAr4wRGGgQ+UQCDwA74JQRBcKwMsxEPoZhMEQDXsASuIQAGIQMGB1gSqH7N1%20/wIfuoEbSIAApMQHEOoCFACh7gEVSsACgBYLwEATBIEIBMELtEFwHtmSjRFw3cAKdFEXaUFyUqYE%20hIEfiKsQlIAI+Ip2DmEQssAcHOxkuoIrYJHDXVtkvIMclGd7Kp0cxGx7tmfO5Cx6Hhh96tLUMVhp%20XJ1/dl3YEK3YbN1/MgdzcBjYNG2CJi3U5sYuOijVjthwUCjWSqg0OccvvsOLqQN7uMN0jEc4XYPY%20ilN1xBgxqhPghS0qJAIYlEEZmIEVOIIdmIFQvAGMKp43diM3etDfBq6NsgHDlEE8tAEbgIEZ8GiP%20rsE1pMDZyAE5zIPmXMOTSsY1zIM6zEPmcgeTWv9H2lxHOMwDizBAE9ieKogpJ6QuJ1wCJ5RAm2Lf%209FxBABRBEcyWSuyDATBAGnRAquypKfSBqsTQnnYAaKkADXBAHoBCHSBBD9KrSlagHsrQL0hbkA3v%20nlqenlpeWS4BH3rKERwBMeTBH0wPp3iADIBCEagBKMCQB3RA9QQVHdwDKwBCIgzD9KSKMUzDAeYZ%20qVCCGpiKQPEqL7AKAhgddcSAMojMaylCE/iAD7SAImyCD1wABFiwE9RKBmfBBheEsZCAENQAC9RA%20EISBCFzrQ2CECi+EBQtlIAiswLrBv6gfDcvwB5hCDsxBEkpAHYhAEzQfDOSAGxCqAKhBB9QADdD/%20gATSQA7ALw80AQOsQA6YELMNMQLg8CLMwSIokTNYxTbWxHMlBVIswm9VowT4wRzAADz5ARTobsJA%20EQPQHXnIZwrMLHmSZ9LRcTekQQooQHrycWbEA3t2gyD7MXyup8/ykn92w9iIRiOHTSPvZ9MObXKA%20TReYnWg4wNdIk2iYnSc36CeHsii7nda2XXMYQnJosg5octx5rYyR7TiNLTnJ8dzQ8oo5xnqkQRsY%20ghWgAgLcAis0wid8gSGYAiCkgCEYAio0ghL0LRs88zM3sx04gjdCs40CAsPgghj4BC7IBABgYwpI%20xtm8gzpcgzqEwzmbczjAg3S0c3dIx3VEBpFK/0fpNkEUcMIP/IDqXoIeXIIqnEAA1AH6hZob+EAT%20ZIEiHEMTuMI+CEAHmEIn5Omjbq9Ez4AHCCoLnAAHoEEk5IAA7IGfStqy8QCeEu/2bq8M/ZiebiDy%20RY8agMD5To8KyED4ysAjBIJgWVoA7wL3LMMzIpmdooouuAD/5lkpGEMqUEJKq/QMIIDLYkMaoAAK%20HIMi+IB0SicEtECyZPUDBwAkGnRXP0IReGsq0EDJskASC0EAbAJtFYEQCMEmgLAQcIAQOMH6soC/%20nNAFkl8H9CsO70sNwEANlJfCSmATwMAQzykQ9KEaCEAJeHQJ3KZqmm75CNK+OMMcCFInuMHKIf/O%20IhyAKZgFHDnCDcTgIAAA5QBAcNbBBHzAB2hBRyhCwlAcNrgsedhszS5deqZAGrynfMZsfO5xzvKj%20ZVBGPMSDAuyxcugnft6nZjQydPsnJIcNdZcYNYFN0Up3c4iB2aWBJ7NdLY6yeJey262yDojB1jqA%20Iaj3eRuCK68HeJSzOc93Odd322iHfcs3d7zNN5nTNXwCIJTBJ6RAGVDAFBwA3/yDGdxCiMqSJfht%20UAQuNPOtEjSzjSpBPDRCGfAyKvxdOaQDPJwNNryDY5RDd6QNPKB42qQt2sjzitiQi6+IXVzACYip%2069r4JVyCBFzLIbDCqSyBG9RBG6RDDCDAENj/AQL0wQwI7wwMQx/wqpJb3o/1qkDlJE8j3zIsACTc%2006n06hDcQwXa6qSd9EkP8PY66qroE2LxADE01ajkwRNQQQs8ghDswRBQgEMPNPj16y0kAvE+ASzA%20wpCUwhboQlhmr5kPg6s8hjukAbF4pytA8CMwwSM8gheUAKb7SgCccQmQagmEQb3VQEb6wQvngAgs%20QA7AEyEVUgH4mwjAQL8tAAtgDAkgoRp8gBDmAMjBwBqBywF0QidEggBEAiV0gAhAAcCsQGE5NAwU%20wMoGwGrNgbXsQBMQwMY4AQpkdgfMkcS9wS30gZMngh2oY6WAoynYqB2Qgh10QnKtaCIMQml//0Bp%202wQQiEWzxMAlpgOMlUPM1jFcLl0s3PEd60MaOJ1uk2fBk2fOJjw/Pp3THTch56xxR3zBL7d/LrfF%20YzzGP4dyoDfGg413p4E+bLfY9CIqo7IOoLzKmx3Kp7xzoLICcLd6b7wV6IAVqLJ6i0E8vLd1qAOW%20vsOVZqnQ/3w89zw5qMPRaw7QvwPTN305kLh2wHLdgC15lEEivAFkmAHm3UKCs8EBxMM/yPcpVHMj%20fAEqoAI9wKgS2IAYJFQjuKiN4kI4kMEaxEMvAwDe2JBB/gM8mDgsy3ItexN4WMeLwfd1QFwTcEDq%20uq4/q0IlhMFDvEA6tEEtzO+XgwEMlMFIUv9AJ1ieXnm+jwnZkK1l48RQoWlCwX0A+u1T4yzOLXRA%20qWBv9s6+9upp9apK90baEBAD9u2CDHhKjDCBQ0hABtrRDNBBMSzApeVkBs7AJQQ6LDBCKRBCKaSC%20B9i+qlzeAkCGephADAyLD8ibH/DDJVRCCZzAI9RbEJSAH4hAGIxrr2B6+geAK8yW/V/RBdABEriB%20HwCEgQAXNkgQYkACCzeBnJBwo0aAhCY4UBjAgQPMAR4UfnX0IEBAjog7eATRwuODAB4L5vip0VLA%20gg0G5qDYYYAAgyAi3ZiaEyOGmUW3KPRJ5GjKFF59piyyk6hTp0GmppBa1KfTFGeDEFAAsAj/wQcK%20Wo4ROHbDQBt42P5hK5ciRRo5ceHCNQFXX1243dLw7VZXX5oU3eKliffX72DCfQ831hZPW980CuJR%201qYAc2YdmTFv9qy5M2YxDkSL0ZHmtGkFqBVsJq0DtgMdsmnHtm3IdmwFDkzPlm1ato7RVoQbevev%207bVr5L40d/7cOTnp5JZPtz69ebsv5N5JD6fuu3Lx48e/u6bui5JOZP65K3MLvhl15A44Mk9Ozj8b%20gNgAQvVPHXfCaQSQU7oJ5YtaAABECVMSeeMdMpRIwRAxADDEHXfKYYutf65BDsQQ2xqRQxJJ/BA5%20bFT0ULkNGTBADWOeUOWHSohgoYYAGBjA/4kX0gnFHQB4mWEGCm6ZgZdh+BhyBj74mKGPYXiZcgYp%20mURyiCGH+KAQAZZhhYchqrxniGHu4eGWDkAJU0wir5yhTSLl5OWXYar85Z5hhthzBk12GeIeTTzI%20YwkPUqmBBQH2/IXIe2r5pJY9eODhAI08oMQFWFxwQQ8ijKEhhyXkRJLIIX5BIB0Q04AGBWh28EOE%20OrQIBBQ1QDEAhQmgQGERKAggIIEbFjDhBmiwYQCtF5SNQQsgCNjBFDdymOmCNgwQYIMCFvjgA0Xq%20yCEHNQqYAAi0FnljkSkooICPTvigJCYDJrhggpAKEKCDAzoQQAswBHDjg0UEiOqDQfQtYP+AazvZ%20FwhloFHmAKjYtSMpPoxiw0GmBrHDFIvdTdeoTthg46gOTIEmhhvWuKEcEuGhKy7B2ojrk7sEiysv%20wdLYeWe4+oprtcKssEKMNKyYxArDCgs66HicfpqzqKXeTGrOhDNNDBvWOGUSX7buTQfcxA67tt9m%20O5s2ByqsUAfiRLtaDKx5Q3vt45Jb7ot4oNtb7+au+5u5dt7pzrpwyDEccOuuSYG69G4pA8D3+LgF%20FXUMoUCJcpT74h0blABkkP/U8VABUpJIwQozcAGAjVrsOECJa8TAJRxDUAEAlQxLRA4eEUMsEXgT%20O0xxRRavUXGAav4gJBhdVCEilVQ4uID/gWdXWAEHApi5x00K3HSyDyiPpJLUPph8k0hbDqHjA1bE%20NFPKMm/hAZIPKGkzTjkZzd9NIvXcE1B70sQ9CLinXRwQFKmggRvgRKROLAARxbiANG4RCVYsYwEi%20IMEJnvCEaSCDE6kARQfyt4SOiIkV2HDHP8pRBuyhAApzWIAfDCCEQOTADa4Iwg4Wka0FrIAAiPhX%20w8q1AiA4AwgriMEh8AWEa30gB1AowAZW4K89wGABkdjDBUQgAn5AUQs5wMENTOEIUxzAXVjRVwci%20oYUV7OAGUADCAgSAADccYA5aEIQBgFCAAiBiER1gRSAXhoNrTcoUMVhEDKBhik6wiw9J/5lCIiiJ%20FIrZQRl2oFhSjOKUKfDBDo7gAykQMAUUrOoGkyhHOdKhoreYIC928dkn8IIznvUsDTmbzNIMkwYx%20lKERa0AFKsRgCDk8DZnI7CVlpma11rhtNZ5xm3AmYYNJnEJCjWjEIJRABjEoADhpQ5tweGO2uWFN%20OOkcDThJ0xpDaENu56xbipRDDm7EQx7c4MYX9MnPfXKjG/KIRz+/8I2CHtSgz/nGQsnxDcQ1dKHf%20SNwXukGda/jCDv9xD3wo949GUKAM1+iOSMWgBCWUoQ3IcYd5yrCGfxiCGcVQkBJY0QlAXCMejbgG%20KshQizKMbkRB9d3vVLSi4O2OeGxRzv8/4DGAAawgEoQgRByogAUZsKAIF2iCEOoggTqIQAIbcIao%20ikSlX3TiABSgE5EYNSf0yQkUNShBuATwiyGYEH93FcAeDtCmIZGPF1kaFZKuZCcslcoDuyDgYpew%20Cw+oIRBqiJMbtLAJJ4SiFprQhAAiq4YryCAYwaDEaCmwBLK+L008EJUAVPiPUAwCAIMAAhhgAAMw%20ADIlBwADAN7wBlwAYgqmWN1R7NAf/rDODosowyQG0QkEKMMZB0DAdIWFgFp0AAxz+IAIdDKHOfzr%20jjc4BBtu4S6L9SGSPOiAGxZQABiIAAYJcIMblIGvHWihDMxwBAJuwQpHUGAKrEgEK3T/CwNWFOUW%20b3gQBgBhB/RG8pMRtgOE2YAOilHlKXxQwjkcPAU2gDIpa4DGDS6Sgra40mg9mwTSrECANJgAlzsb%20GotvybN4JK0wk8AFNxtBBqSloGlPS8HSKlOZyYCmNUl2J2xQk5qr+VIM2MSAEkjBzUEMghSngLID%20iKY2B6itbb8pJzpHczVyYi1u3zRzmsv5Zd4Yh57h+EY8ZPE0gd4Zn3rTp9PyOVB/6lOf3ehGdhja%20UIh+QTt789uctxOPMoTjC//ABQUOwAcz/IO8qMBpO5QjITb8pz3v4Fw31dGGTwiiFrXARU0dEQ8y%20DCIeazBDI3ARirascqi+O2pReT28/xOrSDwpakMAiEGFWczCAlhQAQkusIlqkKCL4MqBFm4ABjl1%20ghedYNRZS8vWbc9psHS6KyWk1YEZ/IIHHZmUCZewgAW4gaz9c9Nbz/0+JtlJTIVaQgEXu4slHCEQ%20NYg3D/jhBCcIQhp0uIUARFADEMjgD5TwQLxHFdh7tK8DHfiFAODRsn+8oRZ9BAAi9EsHHMzBFClf%20BABOygZHvBwX+nVEKAEBiJnbYSvQWENat0IJUwjgAAV4QwwQ0QEeAEwAAYABKNzAD1OolxRmiO4n%20i9IHpixBvQswgAHcrYX5aUEsUHDGAmBwCwDU4hZTckQZEjGMoMPgAPBR0gGm4IhG+P+Ck3m3eiKY%20MgVAdKFifUAKHwBhiUREErh8SMQBnAEWUyDADO4oahuOtuIYrOENODjEIazwiVvOeBKyXrFhTFAY%20oRkCdWQogxJYXoaWriHNVjDEkSnjNNo7s21UUzNxiJPmNAvnFKiYsjPY4AzjK4EecTsFmb8MtjHP%20DfpkRvNm0nyKRph0zGEr5pvtho0PvQMz4BA/OLRRfm6YXxvnV3/61Q9obiT0Oe1InHYcutBwmKMd%204TgPOdrQhgzZGhD4gAI6wQr+4YzaQIVWyB1uQFvAwI8AAAwWAQzYYBDi5vo+p0H4AAHKABdqQQxQ%20oQwYLBy6ADneIRxOUP9AZIU8RKj/WjDXUgRExKOpEoYGjIEKqIAIQIAGCmEThEAIWCAhaiAQUmEB%20ggAG2kpK4GMJ9oQHtI3eBmuwhgAk3GBPTGsGbgEBkuQWgoAEkMADZmAX9gAS8kpM+Oev2opPZkC1%209i1L9mQYTGsIKEEGZoEQEmsIPMACsuACBCEA6uAD6uBeYAABvA0KCYsXKEBKMo4VFDAUrKAWrmcH%20jOgNSMEACuAAWAEBKIkNfMHm4g4McAAAkCIR2AADcIFijoINymAKhmEU9eUATAEMhg7thmEBWIEV%20IOgA1IAf7IESfkELoGERKq0T+qAo+OAX+sAOfqEDDGAH+AEU5kANOEKtRgYBFgET/0PgFpaEDUIB%20ERcBEZzhA55iCqBkCgSPDCIJvazuk/oukkYRlA4vKYjLKDSpHJPCKSoFARiAAT4EGwjAAIrgBEog%20APygBFYgCFagCZzgEwzBCkyAAJrABxAiCAzgEAhgIY1pxSZBMHLMDJRgK5TgXN5gDTQyxXApaeQg%20DUYyMIrGl3yJDBpBy/iiaLQsDTTSCt5gA4BiA+5LJB4PCpRhH3YAB5RhBdwIZVxsxI5hAvYBCuQl%20BpZyBW4ABXBgB1DAJvZhBfYBGkxgAiYAZWIABfxAAOaAGUtAAorAFYogAHwgAHbgBVRoqd7hacTv%20/Lyh/dpPG+QhL9PvG97v/RZq0P9SwDnkT/6mI9EMap++wRxOsB0EJ0DaIx0+hKY4xgxSYBDYQDBi%204BMOwQxWQBDrSABSbrrsAABesuYu0A5uwRGKwQqU4KUagRSUwBzM4UOUAwWXagVFZHd8LdeGRwaP%20xQBogKpu8ApAgAP68AyEIABEAFzUIAewyLCGwUwmhUzWZQmesFTsKk62BF/gZAn05BCR5BY2oQ68%20EAxFQAjEkAfgpNsM8UqupAx5gEz4JEvMpFDQ4A9GQKpm4QjigAMgwAmKABIiAQZeYANgYAhU69w6%20YrAG8BcOERE/oAMQ4Dz+4QuKQRA2oCK2rgzGCAc+wEEixg4woBHsICoQ4AZWIBH/JskRkqBEb6Hu%20yoAM0s7DzgiNTKEWigEMKIAHHKEAJhQR6MgPUEDj3GANpmJdrG4p0EvbOgEKYkgN7GG96gS9jqIa%20RzEbb+EoEoEXDmAStKADpkSt2mUp7IAXzst8nATCKEmS2DQeT3FFN+mTEsEpnGENnGo+0mEDhADa%20TiAMXkIE5qAOdoAA4sEQPmEzd0ACoC0MgkDzrOALQuHVBkHWgqkwyOANim8Q3iANGmG5dOZoRnJo%20iKYMnCGYYHMN1oAUYnMQtsLHiEkJKDX0UlUZEIEqVwAKAjUHMg4BnAEGtMAZ5mAQfjWJahUIgEAo%20oUALoGAf+sgZtGAfCuBZwWAf/+xBigoAKxuGIlBAGZ6UKbmKBCQgDEigEqCtAN4SOb7PEJwm/cCh%20Lu/S/eCVG7oA0LoBoATNOQxKXxENOqZDHa7BHUJBYEPhE4ohEzLhFXLhYDPhEzJBYXMhYaUAGIBB%20FCZWYilWFKJBEyAhtvqDAwHARO1ADKxgEP4BFRohFK3AHX7EHeBBOeDBbtojBl+QZmHQeP7BqYKz%20P1VABlTgCjhACE6gDoJAAnBIJAQAIsgqfiigAyhgUcgn3IjEaQPLr6TrA+xqCRurgCKBAGAgEr5w%20CGhgAfbADTQh41TLsEplSNpqVBJ0CcsQTt5wCJAAqyRhFuKAEP5ABmSAAzaBA/8+wAOqwUBhIAqh%20cFLE5Oj2hQcQQGbdwQwQwQCaoAksAhEQAVkfjyqSohEwACr44ABIAQcOT/Fk1A4AzA5UT10oAAFe%20EY0OYBCsABHW5QMWYEJXYAEejxQO4EHLSJSWNB3Dh04cEAD6qFKQxHyaQrfgAxFvQTqP5ABeAGIe%20lFHOVJKaxHysLpLUtGLAZ5IeLML27pOcJBGwaRJSQA56py02QASG0AJqoAakLRAkwAc2YAPmpQmC%20gAMCrgbCQASaEiheZQ6g4L6AYAIIYAVkaFl3RVmX9SZ2YIELAAqCQFnngB+0wA+cwY+CdQ7AYhGW%20dRCgwA/mYB9QYAUgGAokQAL//IAEVNh9bSUV/ABWaoAfRABW5iBW/IB/cbgESgAKSiAMdrgEGk4E%20gDgIgBiFj9gsf9gVwsAVAqAISsALHoEJSqASfvgFBkCp/uEdDEEBxm8bxg+M3U8b3DWM9WmM73XQ%20uEE79olf/yk6DGc7UiAUUgBDmYEZqgET6CBhD/YVEhZipaCPX+FipQCQCZlilyEaeIAVFqQ/2CAT%20I8YMzCAV36AMXOcNMiRVvC/YRARFanaoJC9df3MAAgAJ+lMG4kAFQMACgrYOwgAJOoASOkAN3IAS%209OWv/McD0rYQ/YdIvnNPrqS/PsC0nBYOPeAe6kAQdnUXwNAN0ABwUcLcSgVO/8pEevlnCJx2O8vk%20rupgE1rAE3rgDoog2SAOCWggURYgAAggCLiFbGnZCvNtO7EuTExheMygFlD4II/1DW4CAcAAAbKC%20D9hACUxUAMFgEDpXZEhGADvBEYKxKAbwFTthGDoBBt6AeRGRAvbgBuqoUojiQXlBXbDXSQCrFhBh%20BYK0FqUTSfgAE3HAFIjCSJR3GBDhEGDADSapHH/Bc7v3vHr6vKh3SXiBkpQ0ERzM6kKJKYxCH+Zh%20HuBBDjoEGzZgD2hADVIh4ALhhtSABuCrWXYgAP404DiArtzovvygtryrWVZAAFICXOYgB/yAjnIg%20j87arfPIgrWgAIDVD5ZVC//62r3yKFhhQIqYVQtgQAJOWAugTQQ4oBJguAZwWAJKAIaHOIQn24If%20WwLSMgiCwBUkO7LmoAQ2u7MloIhJO4hxmIlL4FAargYqwbV/YIeDYEdSxUO22BBwQxYcYBt0QBZ4%20WwG+GIzFbxu62F3j1bj7kl4BrS+3gxzUYT6cG1ExVBDsuBqYoRbuuBrwGBO2GxMK4RWkIRcwQRps%20wRZEgZAJuRlEwR+GQBNYtxNglBU0iQzW4OUA4BCYgQ6kgWFDIR1WdkM4JDeXypNn1nf07xpmMADc%20gAZ4FgtAIJUrgQNOQOAowYTWixJA4QCgkH8KMUn8x4QaSGpBVLUmxQMSSxP/bOECYEAliERa3EAA%20ImHd0rBU3tZUHnRO/mea47ZQRKAJNmETPKEFWsALNuECWoAYQMFPNGGrhUBye9wLAoAJToADaoAD%20OOAI0GAE0KDER0BUPqANRucaMlQC5kAINvQQjsEAFsEZJoxd6u7wouIAFoHv3KUTFm8YB9BBioIX%20lqBStI0CfJQo1lAAUAAMMPGfz825FqETqoQ0zbRLmdYfa6EObItSGLkTPkAZJuBe8gUByO4DEOBZ%20wkIZBmDnAOzwRFcd1RR8mGLVUb0PGITCkCIeAaHHyCAFKjQdLoAFctACqMB9fz0VfL21w6ASaoAK%20VKDBUyEY1GB/if0Eih0E/0jA2Yews4ig2H/dRtyXsSthh/20Eh4BiH+4BJ4Y3MN9hy+B2GsgIIM2%20aGskCirhBy7BtWuACFShBtr3BKT83Tng3YkgCi6hCC6BCYrAC0rgB6IABIjgB2rkeRTetYsgClIB%20BGrkB4hADXAwFXQBB2mkEgLSCRigeN5h+77MN8qmt0/eM0gDuMeY5cnYuN1PoqSjOdCjDYohv667%20FuiADkKuGoSgEKQB6LlbCsS7uwvBFvIhH4DhvJHeHxbrF9bFSNAqEbipn2+eDqo7EwShGNqglYwq%20RAR8wHONPLBhAHYgEvYWCVRABf7gCIwzDGjgrhiFB0CBEppQf3aZww2Laf+dllSSpFKMjgeQ4ANY%20gASUUwjsSFTa7QOOjuH2oH3w5R6M+R6WsCPs6q+ShO8baFFMixI2yAt6gAmYwBO8IMghQQjOYOL+%20ZCC4UAiKoAh8HPZh34l74ASEoAbUQAtUaHTKAAAyaLPxGgdmSwAWwRSKEZTYfAAzkRjRKhM5Iivk%20fAkgupSYFgBIoQAeCbsE4FdX174PYBi8IgbYANsWYWcGUQC4YgG0p4Q7AIP6mZLLAAoSYAJs4kkj%200Y8WoI/cbRDKwQwAYkonAKTYTEk0ZQofhQkV9unjsM9CiXz6OLIzBSLDhQ0Pkpn37x+2CyxOqCJC%20pFKNSiVOVDphr5KfGjX/qMQ5kooKiEAg+KkkUgMoh0okTpwgUeNE0BNhOESpFMZCoBpPi5YoYjQM%20U6YqS5QI4/Wq1yJfVYYhG+Zly0psf5y49IPKSqBE3L78GaUukyJM+v6wgBJlJQ4/2J54VCRxJQs/%20ihT+8eNSCVWUVXFi8qOEKycDsGG79u+LITGGHMhysM2BDlmrdSjQ4UDBNgWytp12LQucbt3bwPXW%205u0cN2/AhXPj9oVbvC9fUOEC4AjBMlbEWC0QROCToEKFpHiXggk8plfhpTQ7j75ZvmjRPvCgcODA%20rVvD+lBIlMgRLkHSltF5lUsmAhLQRhvpuOOZSP9cwyBoDi64YIMSNhhS/0jXhMOgSAMEgAYaf/xx%20xBEjjJAKUKkMMQOKFHRACQ9LzADjLzDOSCONvMA4jIrywTgEL0sM00EkHWiyBBofFBJENdKgcUAn%20MPLQwRBDRPJBHQXkAAkrkbBQyB6RaMKDlDn+MswvZHZiJo1nLkGBi2iEIQQLPRThSRMc9BCEJx7M%20kEcThaAhQitMeOKFF3Q+8oMnmxRaqCc+uNLEACG5Y4YWQTShiAFQALHGHDksMocpaFJgBxuJUDAM%20H6YsYkofvHQCCCmt/rLqIAf80scig9h6XxlmgNHJEghsoMwG/ASSgz0+TGWPIj48cuwl9jBhjz2P%20UONDAD6UEIABAuTAz/8HlKjBjz0FQDGHBDDYEwY/fuSQgxsfLCACGAjY20EnpiTSSScNQaQRHxVB%20JDBFFC0kMEcaISTQAaZMgk057qTThBoWUIGFKkHVVNklJ1GhiwoqxAEYSiehZAwVVAQWVBQnQVbJ%20JSur4jJKUcAVWWSX7FyJKpGddAkTl/AVNBMl9MXEW3sJrfTRRT8C9Q96PFJ0X49ghnTQjBbays5W%2038HoHS1s0sLYi5bdghdkow22C16U7UMLA3QG4RdWOGBIa7XJIptute2mWzeAA76NbYX3Rpw3iGtz%20zjkKgNNNPN98gYsdicTHynzLMPNJKARkYosowEgjBTBSSAMgJpigN0r/666vpwkxHzg8HysUVPQL%20L4uUUcsyy7wCjOqZCFJMNQUYoCA2FlL4IGjlqPN89OqQQw705VxPfYPYDBAEGrHLAP4RcdSQSio1%20gDKDjDMsQckS6s9wY40wxs9L/TEOk+IHHfA4zD1LdAAlHlDCA5GIBBIMSAwKUOB9MxjSEjTRgXvw%20gAf38AAx9gAJAbhnCe4jU5mG0YkczY8Xw1gRBVA0hCUEAg1EOAMLzuCJM+zBFizwwBD+QIxdoIEE%20TOACZKIgiSj8oBV86YsnBPWISzGgQoe4QROagIIoosAAKICCMmyFpj6woRGJ6MMvOrErgfxiCmto%20xAH4QIFFrEEMourE/xrWQIomIeAGk8BBJygAhRtsgAETMICzjpEFCGQhkIGswjF8AAEIVEERihhk%20AEpwqSIEIQyBAEUg+KEGLcxBC67IQQ3mMJUcqEEAC1gADBZwABgt8Ea8eIirJAJLgCWsIwnJjx0W%20wgY7AOIiSqDHrgbRiEakAR4hGcAFZMCBk3DiJDUwRiqekIpLLJMINHNLFKLAAZQ8gZq6iNljfkCE%20w2QNMz5jwiO8kIxzqi1tjPJEMi7xiE30ZVFv84I6t7ZOQ21in17wwSb86QUX8LNsjyhbP9mJtrGh%20bWtjE5tABWpQsm1CoGtbKNpc0AKMlq0JDHiB8hj0DtIoQDWwKWlsVP/zGtbwrXC0aQ1tDtcbcCju%20G77ZhnDO4Y0u6EAH2lDAN5RwgESwAnMHqMUnPlEMpAIjGsBoqndSJw1g7KtfJexEk+BzCwqwAgC1%20qAYYbmUfibABEXVg6iukQJ4A0SFMPCiD8toQEjm0Y0ISIkc47PoOcrzjHXfV6/X4So5vXKMc2yuA%20B/LgoRCpTBep2Ika9pSiJUzwfTcSoY3mF6YUomgJBzjhEO6hCQ+gwRaQIAYadiFaNwBQfydU34t2%208QEpzeAee9jFEDqwCx0iARK2+IBtpaTAEirwIfUrEx86OyMUagIJHtgFEmiQ2D/kAbEfysMI4oCF%20YFiXEEdQGRWEiLT/q0UKG+m4RjGOBwUfNGEDKFAGFKgxgX2I6otsUEKrQDhWO7jKDgXRLx8QQIY1%202OFVb3iDrIaBgDdYAQgUWMICtLACAlADBc96lhdK4AUmJENoerhEh/VQiWRkwQe9CIAfgsCiTlDi%20AGoIxCihIIB9xEsNagAFKNpHCQB2wExfbKMuleAIhmXkIA3Bj+WIPAU28HQNk7BCGmKRBmiYIAEm%20MAEDYpGAzmDDHQMgwAkw0+FlUsbDenjnznpwgh54ogiGKtolkJEMdMqTzYWis9riLM9z9qVQydgE%20PPfJhEJp2Af2PCeh40bof77tWWQpAWJcAbUWHLoIcVOnhQsl6YKq/41Rj3jLPvvMKHgS6stpg+em%208VmofYLNC4SS5AsO5A7QvGM0pbmNA0wDG9bgWja83oZrZoOawvmmpuBAjTe4UdNtWMMa2jBHF36K%20H/nUrgzFoHYoirHUpppuPKVrKn464UVcTUFUWR0CK6rBDARQgIRi5MMiarEApj71FZmQhiak9IsD%20fCJibbjGO+Zx12uQQ+AEV8c11DEPciR84Ha9XjmoF9iDY4MBQvDAYf8gAyoARhVUSIUaaOAGHsho%20CSmUH4po1AcavWgIv6CA/zYrJWIQ4wqFUAEk/rALDuqc5DWiwALqEAkU7UITe+iAB3jwB0hAwnuQ%202IMmIsGDYZCcF/88uAW4y9TKPtwiEerj8YsOSwkkoCEPariC2NGgAgtwgAUr+wHS3i4ooUFGYwHo%20TDr+YYYC4CAIVIziDaIIhUGYYsd82JUj1n2AQQCAX3zwFx+ymioFWr2E8bljvyjQiR27jxL8gMEc%20yke+SuSkEkDRBRGeYAxj6KIG1HCWK8IQhA8cnX2UqH2/YPABP7ih9qAoFz9yUEoNggEMUMBBGt6Y%20AjGIAQOAMJXlEGJLI1vOEWzYog7SUOUnxyIWVjZBLF4wABPEYG4ausAZIKMHoVGGEx5+sx5+SIQo%20nOAMPegBZCKz4UfoIcN1hhpmcMYJkcEEPWNOfXEJKaEKl8AWbpb/gIVCNUeDGI5xNHuBFSQAFlBz%20gT6Qf1dzYebUT+q0CY9AaFdDGF9WgHyGGVeDNYKmTlBDZ/SUYUwQd0UgBEHwahVyDSlgCDuIGqph%20ayklG7ExG7XxUrLBN7VhOIeDGsAxbNzwADqwbCNlKpeDH7cAAClQBhigA9+AAQgxVKzACssQHXZg%20B44wHfLhRRTheMMgVKwgXLzwC3xgJmBAB8ugCaLwHZiQCcsgQZA3COXwD/FgcOGQV4WoV3p1IQSn%20cHZ1V3lVDnn1BYIFD+S1ApHwIRlnMz1ABCBQY5GABu3zW/ADP58lWzXCc1IiJUvgP0+SIiPwB1hw%20BbAIXc2FQjEy/yMAREDVgAS74AbEoAm/qAk2BwlXAAk0YAuFwAJ74D0vwkF3VBEKhHm3gFwxIiU8%208AEsIAIsEAgkQAIgoAIycAVFcQIZ1gMTWIBFcE6PQCiP0AOX4AN0g3cwAAU7EARBsAMFUAD74Axz%20sA+LQAEzQAFf1S8A2VkKxAuognnrFlwKNANl0nJk0gEdMHi3JQBzAAOeJAA0sAcZ6QY0kAOBIAIk%20IAJ1IAQtEWEv8AKIAAO18I+YlwimkBB35AymAAagsgbQcAwJkAATcAMxkH0pYAIpAA04MAgFsQiO%20QH3Sh5RkSH1IuQjOMAjOoAxEOQh+UAA7sAEJ8AJO8AIE4JUxMP9+DEBMxuQUldBhJ6EKPROAf+Fd%20WIAFgAGXKhN/ackWIHAVLBEFJWBhPkAW54SOhEYWiVEE8ncJJ4COiIFhipA2gSkWZ3EVQRAANMgt%20ARAAj8AS2YJhASAEj6AVlWk0aYEojyAEgYloV4NhV6OAFHgVUMOaLRiYieEJb7cXNdgGWwYhIXVr%20twYbvqZSubYaQ6gDQ2iEsgFTvYE4ycYN57ANXaBT1tAFCuAIU9AkjXcLjeAO7+AL9NAIGCFt84E5%20rIAAduA7Q3ULA1MwrjIM+DMM4DkMvPBtYLAAkBANotMMUpALhaAJoHUAAtAvVvAP77AggAVw4TCg%20d5VwhHhXd/X/DXq1V3nVDl/AINsTBMSgAligEyAAAkQgCVgQB0iABG6ABi6Sc6UIIy8nJfeAPxJE%20ci6CIvdwckPgIpEADM8wjDIAIh5KA1Fycsl1QV5CA0JAA8joPUjwAVdwBcfIApCABDTUJXvgHh6w%20BHekQI8HjdJ4QutDckOwCzyABh3JAhxAAkKAZmmGZpKBNCfgdh7of4HGBBwVMeVQBosABAFQB1pg%20ACuACAaAAzdwAzhwVQpEk2ZiVfzCC/JxRt4pVNLGCqYgAM4gAHIKAHIKA0CAAzsgAVrQBNkImUIQ%20AE1QBBfgBBfQBPv0RAwwAAxAAAtQkx3gMA7DL/nSAYgwCCgQ/wPUcAwTgAI7MAEJQAAbEAOHAJZr%20sAIIYAqVdwC6NAhHZgcY8ABs4AiAgAFKIK1vRAprEGDUgAMoQAAJwAAMwJWhyqsmQH7/YExUYRlM%20wAkmYxk/wHErg03y5xI/EAUqQ5dGkQoeEAeB0FgqkApQ4wNuZ0+GGYImiI795AWGSTV0xpqveQKr%202bBbEQZhWgJCcAKUWTaK8E/PImknoAZREAgukRQtUZkBsAlNIJpkEWiMBk+PEACFxpoui5iNsWZE%205AlrNrE2eCB1Q2u5mZsm9RquEZy00WtAOBvDths6MDipARti0A3kAJ1BlQjzkQgAAEfOyjDycVxS%20S4Zb+3wRkf8RPJaew2B1uZNvUQsAy8AeeOgdmMCH0pgIzmAHtyAG13lwA9eIEMdXhWiI7/ANfdug%20fBsOgnUN2BAKQkAJcUAFWxAHMjALIEAFNjpdI4AGNnR0YcIjD+Q9iLUHbvBbooUELlqLy1VANGAB%20xIgFl3gFIHAUe4AElKBZHtB0sFsItnAGhXAF0pCkpJV0MqAJGKd0ShekHGCkNNBZUmdC99BgAYRC%20qahzFod2HDB/HCC9P9ADXJAXpgZ3YYYZm8AAOZt3QLACCzAHm4IDxLcCWgAEN2AAC7AIAPAGQHAv%20AKAFtQAd0DF87jupOFAAAGAAMYACKzCUh6AFBaAFeRoEGmT/KQYAA4iACNWQp/BWAHQIA2AAA8zQ%20Bu7gDsUALKwQtfuSMAejBADQCGXABouAACfsDDCwCCssAKZQrJ0VHx1wOfFBhi9pB4tgYJNwA2kQ%20AxMAlj0cA1ppAruaABdAABeAAhNAAChJAOL6GddQrnlBTeRTPoHBASBgATETNBvmdgfIGC7xZamw%20C2nnuDXguCDwCCMgAzVgAeVDBSJjxqkwPi1wAqCwEyogFyCQCligAmaMoY1lmKCgpB6KBEdAAyrA%20AmpABWHgBUQQBwEAvRwQCFfAAXlwBCAwGI7RaZF5FUdxAnzJFy6IGEaDGG+xYRroFkZjNImRNJfQ%20jvJKAhIA/34R8p+kwbO3PFK3VhrbYAi+xsu/LBur0TeA4wDggGxI27fa0LcKAGTSyVWOUHkUQDCN%20dzmdII3SiR+swJQYkRAD8xBxKKUUkFUh1Eqd8AG+I5+i0A/eIQ3RQAzLcAC60r7toA4poA7Tow57%20xaCF2A7v0A77HFh++wV79QWBG6EDUACaUAoqEweE8JawaKMjMF0WV7lZ2gEfoJG5WwcLkFmRsAB7%20wAO5taVDIDuy8wF5EA2XiAUgcMVgKpKqJQAHpAkg+gdIcAVncAUeQHO2YAtIYFrT1bs26rsWUAgg%20wAIg8AG3MEG3EEEpctEf8AEgunIp5AEsYlsivQvWlQdxEP8FS2N/WyA0XLAz8loXRBAADKA8eFcL%20MFAAEgAFqgoE+IinC4AIQAAAiAAA5UuU+wsEQIAI+3sDZWAAYMC/h1ALBcCnsbACK6B3MPAGiL0B%20QLAAEmAAOyAEBXAIHA3V/TMM73EPBwAAn5AOBQIDmSPOaNQH9SEwCUEBjmAKrj2omNcJ77GfAvCS%208fGSLmwKCMAGg7AGN6B4MaAMbxAD2GACkwANVJYGBODDWqmTz72VCRAAL9BRBBADDACI5DoBQ6Ey%20xhAM343H3gUCQREYRCAXPrOJRDAUN6MCHsASTsEBm8ABlOAJVICvlZA073oC8ecUF/ADeXCAX1YD%20KqC6hgn/xvKXGEdQEtwoBA0uBJvAZmhWPp7wByxQBGfAAUVQyScQBRbQAk9xAkjAARQ7FoZSAimR%20ypewEnYhgJYpGHlRA/JqATNOTfNaA7L8USHxBcpXGrfs4zzb47uJNyjFN0L7OLthCI9jCElAa7hw%20AO15C4AAAAeQ2nAoXFbVJP1izQchfVvbJDv3CyxHtgp0AK5N5mBIDGm7zlIACbegCQ6zCLk0CCkQ%20GtQzPXw7D9+Q5/7sz+TQz99wV+bgtw0aWNwAGuS1A0igC1tgDKWgAlsAAjZ6BRbAAlggAyPyiVnK%20Ax1JDCSzBTfNAZDgAZrAJV1iCwakCTOQc5qgdLFDjEfK/wJfiqFXcAQWV+vE8CG2C47SgAWj/ge2%20cAXEQAJ/gAZKlwf+sAsYB4unCz4x/QGRQAyRYFszALvFiIxIgD8wsgQfIAISQAKBcAQgQskcIAlB%209ANc0BfozgV6wAVcUO5P8AQWUAQe5Q6hgAv3cpUKrHcFsABgaUpAcAis8AH4qAXsOwgEDAQUDARQ%20AAMiUAArsF5QIAEFQAA7gAMQdgjhKwgGgI87sNE5kMQCQAFugAAdgAAFAATOgACDYALYIAcEsAKD%20J5GPCm6dsNoaYSpKcEtTQIaLAAiDoAxB/0ZwVJRRCQg48EYxYAXlcANm4AxXqb5JzAAbMAFUr5XU%20vX1pkP8AscAAOkkAA5AGh5AGKQAPDTIAG0ATHZcyHpcKpIcF5K32qZd6pqcxINDV1BsHHiB/dm8B%20FyAJHmABECDRR8AY2LSJVHAnUbAJvc7hPcAEUYAFUZAYHC5/Z3AGRpEHLCAEll8EPXAGalcELWAB%20b+kFUTAEHtADY+MJ4HMG14SmIIAFIxCOc3ICsP8WgNEz4BR/lRAZBJiuPuP2cZDeVPAENMNxNVAC%20nPHEtVwaYvDjPw4buHZrI5UaI2X9vDbksqANYmAQt8ALj/d4YivOCDlc0Pgesi0wg2oH2rz+5Am6%20qNgjrKRK9hEfPBAJ0aAJ0ZAPeNgPABHtHo9bixZNSeT/SMy1f+q+qCNHLpxEiRPftaMYTmM4c+Te%20fYz47cu1a9jaVEOi6kmpOFiwxPkz4g8WWxaiWAARhgalJTzcBKIhQwaWK0Jl/EETaQ+xSCzqaILk%20YZcmpTlYFMJ6RhqHQj0ssLCAJeafI5CQsAB7RZqnHkX/7LpiC5ItNMSuXIH0x0M0o3/yDGUB6UOk%20SJAiaRqSWBMSTbuGDFsyZMaMIWhqlCgi5MSZEz1OeOIiSdIPLlxIc9GjB3XqH0QeMcDWsMwCRDsK%20FNgDAMACHofAdPhwGwYYAEAWGQCDIIgWHFq0FAiyA0wQKAZQLBBgwMCOCSu0DNiACEGdAtUCwBBR%20J8EO/3v2nO2AhgPam0E4UsDDJqfABwQdBECzZ5BFOjmgjz744CMRNgCZAhA7EgKkDFzKgGaNReZY%20YxIyylBmElJIydCMGNIYEZE1NrjhhgRi2MCADQiYAIUXYZwgDRNIjOWFCW7IEQowzJDjHXjCuQa8%20QECggopgUgkkjlRqoOKIVDggIpVgrrzSGGNSqZKKSn6w6YhdOOghCg6Y2CQPNavw5Ig8jiDCTA4s%20mPOHKDaRJA8s7Pyhz85+wAKEM8qMorNdaCiEBkjwQsMvGXrwoJTSCpFKzytOuCmOKDyRgQlJjgDB%20JRKKOIHKE5iI4hIm+oyzzyj0IEIXLlRRhZNLWqPCgv84v7zkEk6I+CGMEnphAB54rgmnnVOsOEUM%20MXRwwIEQotUB2mivfcCBbKONINpstH1Ah24diMAQBcQw5AtDzCgDEEduGYaCW26hQN5678WXjz6G%204aMTCjrpgxcKErGDj1sOoPcXygYiiIcO/L13snhZoViTaEbJpx8p+rnlA1MQ+HjAAwaJ4YYB0nlh%20gDbKSUflNlaGOZ1yXm4ji1hMMOHlWBKIJY1ryPkHm32MueQJXUoh5AhCCJHBgjj+ikISC2wCYYQ4%20OgNBKBVAuAIND4gxjBJN/oAEhEQtKOQKGq5ggQYWZLjiDLnPSLuQOUE4Qg0O9o6ChSs4KOKMKK4g%206gr/D464y5aj7sICkhGK8iePXfKApFFNjiCGBhpskUyyyWagQJMPPrhnsl94WMAPEmqIIgoiJGHC%20sx48s7MHMC3os4dWTiAhgAEGkMOdNMqopZYF+AMDEQDAMKAAHg4grgAYCjhEAATAWGCOFayDYocd%20YoDhuQQMgAKFC8opYJECVkBkgAI6WACIG25jP4hICrgABhRuAEIZLaCYAAMY4IQduGEBK7BDAh1h%20hyn0YQoIGEQBaqEdLeygCQUAAowIcIMFFMAAMKjOBgoAhQSgAApNiMEFXiSBDUrAAAnQEQFekAAo%20zAEFCSDA9kxogBig4IYT8N4EEjABHOzgBjEYADaU/ziAJtQgFalI0haIkKS+ceAEIEhFHFSQRSqA%20QA1xIIIxVMAFIsSBCVyQyhGYoII4eKEHIxiBBzgAgUrowgOUAMEJaqACDkQBBEXwAhFGIIMoYKEH%20TPBEEfyoAizMSQUWKEIP8kADEpQtEh5AAxpIQCkZECOPxECDLTyAFDUdwQMg8MIQ/tACEDiFBSCo%20gQUwdaofPIJJxqgBEbygij5R4RJR4MQPeuUrWl1CFcbUxRN69aQwECCJ7iBSO1AhhlOkQQxJEIMD%20ZKEDMdggCeRywLe+1S1xRUBc58yGDraRjW3IAhwO+AI5rFCGNwBiEI5ITiJuwQcKGAxffaAAv/rp%20r/9hALQTfBgGL4aBEHrx4nMz4MHHBGAKj03UFB04QCeGMZlbECMaH/VHxjaGUf5cbxBg6MQigFAf%20AyACETiAKQ4QAYSXuhQR7LPpPqAABJoCAQpQGMQg4gE0bLgiFarQhS5iVQoVEAELs8CCrmBSCix0%20MU53wwIaZECDPGBSL0vQRF3+ELcrWOAMVzgCEuqClysUgm5Y6CrcCAcCWapADSDgAA0eeYITWOAu%20HIjDXeJmAWLIwBZsJYaa3qKJQqhJBmeQARKQwINdLGEJD+WFBwbDA8/NYAkiCEIlQEAETrSCAz+Y%20nav41DomMOEEP2ACB3yXRGzgohYAcAMCEDGcWnz/AAgG2A0YYHCD6c0UATCwnnagcAMoFCAGBRDB%20BrQAwhXsYAMIiKgJDrEBICwADEBYwQowCIQ68AAJBmjCHg5B3ALcQIADYIAPPiAALQDBFL/gwxT0%20mwglkCEB8wuCB62zASdM4BAvaB4OVvDbDUzgAgT47w4IwAAIM4A7KNjBC1BAAAI0YQIQjkECSmiA%20Y/SQABtAAQ4C2EMYDpFFSMRGOrABHhHkUhVEIK0Uf1AJTIHAxzXgAF6JMFq6koYKTKDCD1QhgzzE%204QhtBNMIjnCEFtgyFZTwQCqKAOS9lYAIJyBCHlwXydi2Tsoc2NqlCgEKNBSiCCyAigf2IAQ05CEQ%20/0KgQRGQ4IHNkQAJcHzyCYowhBF4oQUsaEpQSHXaEpzgEk58Yg0uUQkcH9M0pOmVMCd9TFrdWBeq%20EJYTkqiOoKXgDcpQBg7egAA2vKEM7FrDDcxABlTUehKomIQYcO2sXFPzmmTAprNQYQZcsMEUB0BY%20J26RCH3ei5/9xNdADxqvfvFBYfi9RSdmoNB6OQwBo0M2RpFtClN0wl8zGMa8eKAJqGzMH0uo1wGu%20t4JBHMAUy5suDOYQvunOYd/O0be/YRA+e/hh4Af3wxycYYh/BM0VINAFFXQRBydPOQ+DxAIb4yAU%20ODYtyDJQgVZlIJURUMUDeUBCUMqKVgu4SS+gKv/UGaamgovTdYsgOJIaZBCIIG+NBK2k600sINc/%20+EVyo5TB2CChiUHmRQaF8ItUkPABYjisA6Ubwj12QZkhRAaiOQgDpvr4A05EgTRlGrLZD1kEO5Uq%20CAwYwD/KAQAEIAwBBWAFGMBgigJgDwD7gQFPVzA9HAwXvOHFjgkRsIIF3L3vQUA2IkywABgcNwYG%20AIIWFrAH2gTBAOIVwAURYAC4/84AAhBAAeieiE40sF9smMQiPjAHLUgACjC6QRNuwJ0brODD8tuO%20iiYw/CZw+MM7GqKKDDCBWGznhxN4wQYk/AIYGcAEK9LRBhgwgQa/AGcqizE2mpADWErcAqqwAOv/%20OBCGIPPtBxwQLZip4AUmqJEIuOtBHHZxBDK1gAOGwwIPsAA6qoQaiANM8oQAKIIi2IQ+ioI8ADIS%20EDRBKwH2IwG3YQEh4AC1EgI/CwTDKAJimAEPsAW+CgBi8AC/QYIjoAFYOoEWYAIPeCwGTAUpSwW8%20sioQUAEVCASwq4Qf5JI+YYJbuQQ9GKZkMCZOoxUiuIQSKIGUwQZS+wcrAABncAYtSA5HAABA0A0A%20GAR7sqdBUAIxFEMlGMM3GEMzVMNGwABcwIUHsQNWsAMEWAR6IRBz26d8gZhnCyheACh+4oVA5Bd+%20+oVfOIAFWACKOgD+YIUPSDYBSAR7O4Bh+IV0/7sHixEFKRAFf+CBTsAoOhyEVTuAK9Q7LZiDAnCO%206XIOVAS4VPwpe9A74XoOZwCAFGi4AdiBXFISOIqjXfiDrTmKRmoJGeg4rjmKKSMGo3MbtYqEyFqU%20K5CJPNCqP2hBzvCrqSmrM+i5QEgFUNC5oFhBJFABGaCru5ArDoAEuCkEobiCP7AAWyg6shmrohAK%20NFgMCSCBzUOAZaCAGdgFD2CYyEiMITiUBbwJLvCjLTA7C4AqYEGt2uGAGpgtbHCHNwCA4KgD7KmF%20N1gALfg77zoumFqvQxAv4oKC5tgBICiA5vAuKICBjgQDHPiuAkAA8DIABQODD4CBm1yBJpCABf+I%20DhHaAQZoA7hDAQRwgxwoAwQ4GFNIoEYwwzSgOwFYgBsin+3xng8KghvIIQ5zERQbPhmZAO5BAe5D%20Ae3YsLPcsO3AIRRIoRhoggRggATYAJ6BESNKAPAwGSVSovSqARBwkojTolbamzziK/bjKypgwPtT%20hSJQIw7IOCljwBagAamQgV3YhRbwvyIoARbIA1AQtADYhAXsARlIhRMIOx8IAAVcQBIQgVEpASEI%20gDwQAiGwhQsUAiSYnEvhACGIgj1jARKwIg4YAUZqgQAYAQY8gdEcAVDYMdgStBoIBDWgTglIBko7%20JlS5hEvrFU4opko4piScNCeEQncwTwJAD9v/gwEJkIACkADn8AM/UMXwObj6rE9aDKovBAA2eJeD%20oYBfkBc7yLZ54UMK2JeCSqiAMtCEEphfCMQHHYZ4GYJf6ABTaEQEQIDGazyQ+Rg6rLs++IV5GYYh%20cJhIsEdyIzeTeoPfWITpEgHpsQcJ8IMYLQEJsIcwiM/4jFEbtYc6QDgb1QKGS4d08AEQiAKYCJQ4%20+gMZABUOSJKXCJUdJMbiRIoRQAIZqAsO8BsaKDpyvIljlAFIUIG/qQEsuKs++rlUUAMmkU4a6MFA%20QAJQIAa9QQsWwIIrFZSpCRVImJqaKITDKopFkRu/IYGiQAvN2QMW2APHSIypIAxNcANG3QU0/7CA%20HjiDPvkVKsCxKbKJPtGVUgGBIPgdJSoDVkAAugMD1XuD6YICROigm8SBQzgx4Eox9uGggdOCQ1if%2043HJ1CMAAKCvCRIvGCAPIGgw8uKu8mkCGGCBCxgAUYsBkEGAKbADA70FUjCDN+CpjlyEVF2BQ9gB%20ytMCFGivCzAA4sI87UgRHwKiFdif4fM9FGsw7vuwG+C+HSjLC3gBDTOACdsuEROxG4KRkjmEJPoH%20d8CGGBCA17xBKnCynSMBIfCxzigVC6gEFogCthsBNSgCLSqCqjoDEPiDKGiBC7CAriqKIYiDC+iM%20KAgACxilQtgEmVvAP6CEE2g04awBGkACEf8AnCDYhCAQgk2IBEEhhlGBhCFAAhKQQC0FgajIwA4E%20ATRIBRnwAg7Ig1dCEmTwglKgAk/4gUW7gjmLBB6IhMvADM6MnR0zu1u5sR+shF5BKiLgMQkQtdhw%20h3QgAC2oA9sLg+d4DugQgttorsIdIcI93NvQjQhaHkeoO3uzg4z6F4IKqAhVqAiN0GiDNgd90Ep0%200F8A0WHoBI9xg0XsgA6ggIhaBASwHjtY3cgFqEnkOoL0B2Q7gLx7A1y4gXpDAMCFAgnAUT8IA9uL%20URHI0eONz9sgj1SEASFNhwAIBhmguCFjUiqQCRVonVCpKiRRgSmTXlMaK7/AHM2hgSPgo9n/ERxs%20PAKQeyUVoIGvADK8AQUmCYTpzCQ0wLJdoITg9LGv+IoeiKQeKASiQBu5iZtCeEdbEOC5oRO1UZQ9%20sAUBuAetY9SBXDce8IAMfrqokYQpUsiy09RCARMj/YFQhTu5I4UDGDjVk5/bQIRzPVeTPLGchAEC%20QEUBcBgwMJkESA6qNIAVZR/G262+ow0t4MoNwI4VaJEdCIImMABnFSD0PLZpmwJtSwQAeANtXYHm%20AAIcgIIcSL0mwNfyySEgcIMVIAAFwwEPCzEcIoCyRIEVcGMcMssm2B7rkBEcKrENiwUc2IABoEsU%20yxFoOKK8bAOKTIcNiIQcqAGQS4UdDIQr/yCBMNiiKGA/HbzBTaiB5txBD8CCKwqyrFGBC4AAT7CA%20XYiqXRgBGHyklZNGT4C6QjiBEdgFFmA/GkiFPQMFEBCCIMgMEgiEQtVNDwgAadiFZCwEi7MitWKB%20w4KlOykBL7giC6CEprqEXSKEOLEAmuuqIHADyqKESvCBRygCJiCVS+gBTojbIeSlAiQtVUiSSnDC%20u/2HdHAHAqiD+AyDSe7bvhVeEmDPgBZo9hQCgWZF1VsAisEnDGUFU8g2gxnQW5iCZMu2ezkofjI3%20BuWFQoxQgKKAA/jE5OiAJbgFHqAAkjZVcvsAOxCAOewEXmi2ER2C1FW2A0iEQTAEK3iHG/8whUWA%20gn2wvRoNg+GtQODF0eAlgfjkB36YnjrI5xnVgjao5wEIAEr4Cx8bTEYiAge8MSq4glAxX5zo3sep%20mkb5iyMAhZmYGixoHTMhHKFAAjUAhblmMyQIBDdQg0BAPTU4XcKgBHDeA54tm9ssK2mYnR7ggLmx%201EUxLMExiytQAbAIWbnxq2ScnCVdlGbeHL+xBQQ2qyigglI4gmDQVCLQaio5g0rYZg0MANjAhnJ4%20AwFwhAIQhO86hFpYgSNCES0YPABYsDk4LiD4AO8KvFbFAZVcAgCIgQ5KAN/erZlSyS6uoPURrwJY%20gzU4ywtwggFigBfQAqfkA15oIP3qA1P/0IJFyIHjcYPhFgAv5I4Ce2ICWL4JMNZD0ILR2R4JkGNy%207Z7/iYEYwTB83YHqkpEc0j4My74BOEsC2JkN6J4cQZEDw9tywIEliAS1AgXNYQE4zYE9gGwacAka%20CKxH8KItgtMhyAMwEaRQkYTRNOfDoYI8IIRNaIU8mAXIVgFaDtk/kIQyeZxKiAIagEz+87ErSAU6%20UYEzcBMSPAE+U4FDaZRdaB0sXVJB+2pSUcBN2AQheIQW2ARD8wQmgIAWOAEVAIVIEII9GOkh4FjO%20LAIgPxUw+7JVKQEmAPJNU4VKEIIScAIlUoe8JQD2rIOhltE6AGijBt6BDuoCKAH3rNHl/5CAzPs2%20Razpg1ld/rQDR1hdx3WEY+PDPawXzvVcAK2XRKBDASjpW7hQDiU3O/CYuksEU6AAXqhphBmGe4gX%20ebmFWkiBXreCDIWCFfADGSXqEtDnGq3AoxZe4ZUApy4AYRmhd8jbdHgESkiaJBlTsaYS+HOdJZMy%20ojgCsuA/DjAK970LvRrHKXMaHWTrMeVZqaAEUKCEeaeEpKRON+gEb/xmSjDRSOgqaUQDFbALQbFU%20DvCEM3gcv/q/xCnOxLLTotsaFdCLZISEQTkDFujNM6iD4BQCuukBT7iCJDEGXTg/p4kDnGgkJiCC%20I+CrJhiAcnjtQVgeGMAB6kEEWUXE+v9aAMyTjgPavdtYBESIAUTAoA8YvJX8gE5IvfUJvDVoAkRs%20np1/4eZpzxM5hhUIAAh4ASf4SQEwUATJr4SQ+TAmHwM4hFjFgRPjMAHYARNQYhNwgppXxRB7jkBH%20gCaI47q0je2BMPm+gBg4hgnoHgVH4/mmPhSAhhlaPgU3VhOAjYbDBkSAqDhFAhDQHDeghA9oQST4%20A1DYGis6Ab8YgUBgAQ/wR0CxACo40iI4WSZogb2K8S2AADQapKGTgTsgizJ5IxXgK1Dhuakdggzm%20KwugAR33hD3rmruIib/ZQMxEgiIAAVVWA5bHAkqQgbZJkrJjlSJIpGAmASgQgA/ousv/yAxQ4atK%20YCMmxFkfaAEf8ILW2DHyfCbz/ITagwIa/V32DAInzH+AkBBkYAkoJQgGgTIwiAQhCz58oEBhyK9h%20v35RGJYIAAAEjtjYMXWrEx+JJjNSIEnh4i9evIbxqpixAwIEAgRA/IBgAStTPU196HCgAwUEnXjd%20ojAjZspbThMdYFPMiiEcCBbBgCKBXxg/ErRKKFCQYIGvBcOUKCBEbYkS9gq0+ZfOXRFQKkpZiBIn%20DhUsqUBEUUWEUzIiKuIcUYHlyAgQMvJYOIFEhgUQi+NYSHXkCF8QkrBgufJnBI9IHyjx0OSBh4cO%20H24e6HSAB2vaPCgt8bBk15BdeSCx/7DAAYSFMxYsHMHy58oZyhZkgKCR/IpjGTJCH6F8RQURLFQq%20Cydu/IcFLj1mUWHyIwoVXSAYy+BA5cyJ4RwCCRkw4N8/M7UAAHHICnUsssIKNWkBQwEGaLGCFkAQ%20QAAAOSAigAErAFGLAAUAUMANWgT1wQqIwIAAECt8sMgNBaxQAIs7EDAHDG8kMMAcIjThRAAGLCAA%20H7z0wYeQU0zhDCJAABHABTkaYMAAONywwQYMoJgDCivs8MkLCX44AAETTLABmAQkMEcBO8SAAgom%20HMPADtCgAAMBBsxhQAIvELDCBAncsEICMdxwzABgJkDABtBsYMIA5fzzjjsGzOCGG/+UREKDGkh0%20oNsQatBAAwjEFcEBYx4MQQIoaMyQBxFxzELEE0RsYkwpREDgAhGt6FEKJ3dUwQUhI0jSQyubtCID%20IZJ48sMIPfQgCReecEHEFljMYkErUUQBggpXkMDBFdAdwQIHw4FQBBE05DHCFZuA4AEIlcjggwwe%20BHIqDZX9cYRxHoCSBxo1YApKB6AMIUAAYbAQxgknXEGFtn+l8gcHYVjwgyoVF1FEEC8MgM0/7rhD%20gBZaSOAHWmGlJUEJX5X8VRgStAwzzGcFsUAOAtD2AQ8tWdTSL6YAgovQYBxAAVQjmdTHMMOgZFFM%20FSnN9C8HQHTAAZGwUtMHpnB9AFT/AIABxjK3fFA00zMoTQEft1htykaooGIFDosg4IcWYXClUFoF%20CSEzzC9LUEdbQAShlgT2FJQCyOkEcUQp3xkTB2h8UVGDKu0REcwfMmSHhQoyXHGEuydYcMW3n6tA%20RRwjxEEEFakT99wIxOSGRiSUeBBJB24IQNQMFy2xxBC5LRHJHpGotssuaCBhy3FXhHZF6aWDfoUt%20IBRyhn3CcZAttsed8a0MIxBCHBFRWEDFtxZgkRcWIHz3A3GVjJAYuVjIoIIQLOSHDTbqlAERAKgD%20ELQQtgLgYEEGQBICNwAEFOTpJjsBAhi0EIMFAGAHYAACInDQoiPBQBklWoCUoLAA/wPsoA4GcoMI%201gCNWOwDBQwwQAACkIOi8YJIfAgSHxDwhg0YQAIGaMKcLgSGMoRpB1A4EwoRgSYgGAAHh3jBDnZg%20gAkYCogL0AKMCDWBC6EARH7YwQ22tIMBHGMHG1iTB+90JRRMgAGxKNQNTOA/RyFiBqWplBoEoAad%20LWEGQ0BCpzgQqvx5YAYyQIMHaOABXVDhEq2wmBeQsToPlAICr7rELAgxixa0YBbp2sImPCGJLRyB%20ED3gwgiw4Ik7FAFazIJWFD6zBQ704AR/yAMNusWcKBRhYUXAwgjy4IEitAAJHjDMEUqABDUE4AqU%20OENitHUCT1xhCEegASjUsIdJZf8KFCIIBA2C0INAXCEQ41MDFUTngV2MIHVUqMQmasiAjvHHHVYA%20gx/66c+wSAAGXgGLVkgWFigsEaFBcIVYbuYGHnyAaEt4yUpcYoqPgMERt2Da0TpxEol41CQ+c5pJ%20cGI1iLhhKLfgwQG4ZgdHFKAWAvzALVgRm1u8hGmdGIlsTMEGM5QBFWUAw4ZIFgYhDKQsAIVBHUYG%20A4PCwB5vUUsBwhCGt8QlHekIgBpmIQldcAYxRwhGdqgQjGC05w9UYAHnEnOc+PRgONR5Xf78QoUf%20pOI6eYnCdvZwj9xFghgd0MQHdDeEGSD2d4cd3hB4ICk3aII3u0ACCY4TO+kJpzn/V4hC+KJgHSRA%20jwOSOMNo2fdWGcSBEEeoFhEkEQUiEGEWWIiDa1GpAkOeIAonwMIJHKMCEHDgLz1ggQQ6ho1ylKEW%20MFBQARQEBgXhAIhzgEiDoACDBZjCDQs4EYYuuAAwGOAGKIgiDgyAiAWtILofmtAGXjAHiLpIGTV6%20AZ5EgEABHIUPRJpCIqZwgB/2SS1ELAAQYBCgBDRBCyhoQpqWa6gliqkAG2rCABKwAjiucQIo2AEK%20xAQmFEDhincyAAxQgCcYveCL4d1TLDawgxfcILqHiEFc1PGPNwiSBwI4XiSQIAA3BFKPOZAACaKj%20LQ/8oQhHqEEASuAFTjCBCVHY/4IXLkEIXZSiFC2wcikI4WVauOBXhNjCHbaQhy1YgBCsGkErJREs%20QuRhFq24wybuYJ7cHoE3HshDHkAQuisQ4QdFUN8fPNCDTYxgCHk4AgiYwDyE9ZIFLCgEC2zBgQCA%20wJtqeKjAOsCD4omABQGowx9osB01eG6bptZtD4rghYxtDJ8fs8JT/dlPLZTl1n4Qgd3CoAWvALuf%20TZXADoIgAje4ZgEIuMUvfuczjBwAAXY4gEvWFtKPenRpEoGJS5ZCgZb2JCcd6MQSeEABlibiooP4%20bi3esICaFm2jLjGJRWTDhjLgwgxmAIApVuCVtih1qSJgKsElQLJ+wmwtJ7CH3f8UN5cABMJ1hJDB%20LIJRP8aMABSgIIQxgoGGKwzHOsBVgQoswALqRMbPcZAnFlbVcuEcxwKQ4AExkMea1gQvsbxA7BKa%20PYThzWAXe/SABzQBidhJ4jgcKJ0nSscBTyz9D2jIw7aWDh7ltK99n6GCJFp7Pi6Qri9cQJ8MugVc%20FpCc5Gq4Qio4gAUOkAAJImCA/8phBlMgAAYy1UJHGjSHHRQg2tpFAYkKkCBlOAgRz9UCg26AJCQZ%206AbbHe+C+qQFEzThqXOwGRAYgPgXbCAHPFhEB4bRh/329wCLsAKiCOCEF1zgQhuIwScOcYEdrIAB%20BLjACwpA4QJssbnllRIDqCj/JiWK1wAbThMBYkBECE5AAChAY6E2cAwC3IBP19fwBWIB+DUNIB0e%20+0cehYyGcjs2Bx047AyQEAQaEJKvI+gtEgIhaiZsIRi/GkGXyZdaQhBBlxHCE0xDK7TANAAgFUzZ%20r0ASIfzBxJEPxRUTIViAs7SCJ7TAJpwBcaAPCLAACBRaujQa2V2Bq3HAz/0BCEhGHlCCJlDCEGiC%20MU0dGiSMGqiBp1HCjyFb8EhaEBSCqXlK93BADbDAGQhBFCzd/IiABDiBrIWMM/STPRyOVRUAQ/iN%20yiiVQShEQhREQdCJUHzATmUES7AEL/BBSyXFMFybSZRESqwEvZXhDHQC3uXE/2yUW0ptTdt8BBuw%20ARDgwiBQzUYlxVNcm2yAgdAEFQCwwgqIAK95RYJAVSPeyMARXD+5SFhcFT9owSd8zKMEwixsxsqN%20RsbhxqLZICXUT/tYnbYAl2Vsh7Y4DF2xkxqcz9IVQhQUAjHkDiTkgfK8E/uxH2INw2IB3Wr02B7s%20ASQgAXGEhvrA3Bnw1RX0wAZuB6O1Yl94B+iwz2ZhyzQm3dJJQuygT+mwACMhAQugkwdqyzKqwF8Q%20Qw6IH3+gwgEIwHKZkLJVUQFsgIQZAEK1lwOtAINogQBYF4sIiAjkXYe1CA4UEA6gwIIkwD4SQAHk%20gAg0CBy9gBtQwD5YBQXEBP8fJEJ/CQkCKEMMzMmMbcAAnNchBAEMBOR4QdCFJAATrQAYbMANGMCU%20EACGkREWdZiUbMCFeViYQMGV6EkMeBiaTMANzBCYFKUc4aQBHELHXMM/YAOO6dEeBI/wLIFN/MJh%20dcDxTEYx8dme7YIKBEA7eUAxbYYHBEO6vKXFedkWIAMotcIuQOBh8NlmsNm8pAuSPSCfpYuaIcZ1%20+BnJtdOicUZ3WAdn5ZZlnIAK/AHuCJ0HHAELsiDRecAe9M7uuI0AIIDODEEH9BgLdIukwd0JFAEJ%20CIEtIMHSbQbcCcEL+E8+EQAUShXitIwQQEHfLARCgMVa9A1v+oHN2CHTpMT/AUxBJzBnGy5NH0iE%20c0bN0lwbclbUV87AMHiNAMwGbbiGALACTtyCKSwCGywCRwzCGyACAhxAUhAF20AFc8rGATiCEgSN%20GRBVgZlMGMDAwDUVDGxegA5cI4oAP/jBcjVVJmpBPHTiCmyGaiFGMcFTL66lGgTCtsiAp2wHdSxd%20tryPZIIG9HBGKiAGESwdffTAFaCBJvQYGkzdO+2G8OjcV17EDJRbULAGMdDApHnH+1gGcWAWX2kP%20ZXzgcKRPErJP/mjjehxH0v2AJEDPerzHufTiYRHDuARBMLWjqDTSH8xdOlilGWAFAOzBci0CGWlB%20iKUp4K3A7K3AU0GBmShQ/5zAwA1AQUA2iYFAERBISQwQ2A5MQAHszgk5we45AY9MAA68YSLYARs4%20QkgmAgIwXgxAQ55oQToAEQH0CJ/qiQEsSIgZwJxk0QvwSIft3hqhQAx8UUAmgO5F5HhNwAuo6g5Y%20mBpdUfb5yQBkRUTWyBqZAPPtR1UCAWK5BvGApQAE2c8NwTvtAtGVpRrwTzGNwA/cVRTw3121FhWQ%20zxM8ASi1wB3kASFITzuRz2yVTruMwPgsRgimizEV056NwCiGIFmOwJ7tmbt6wiNsAhr8nPLgDiXg%20DvP8ARLkQA3oDHeaQkttnhv0hvBowo6eQZEFBwfYAiRsDjT+Fgcs4T1hw/81YEM6EEA/hUElWJVV%201UEdCEHKCoFVCcHKnABaHERbyOwcdEB2/YJsyIZ/QQWRZJt1osS2uURMOI3PPM1SNBsvfJt4QhRo%204kTCjicADAIgOIMSTO0aOMN48sBRWAQFQCdzxoYdvMEg4EIZZE2BNYQESOKN2Mwc5EAOzIFXAOgc%201MAcbF4jGig/wACD/kMoFAAlbM4RoEG9NisxIMFtdAAaqEEOuKIK8Bl0SGZ2JEZ2cA7JHcFfgEIc%20fIqfWUAh2IK/HMHmsBUluKhpBOMQ7NxEZCdr3INkaQIS7EH7VCD7fEqIdqhoUAdw5QUH/ID8kF31%20ZM+5FgIHZA8S5paKWsD/HmgCMWjCshLSawqBOoKCB6gAEtTBovyD3QHAedUjiW2AyOQAAuTAEl3k%20DuDanSrfBngQFCRIFbmY+i7IDkyeiWiBBz2VCDiJFuTABQwAA2yAAMQAKagNH3TCFNjBFPCBHdjB%20r63ABTge15iA4y0XIqBQqKJAEETIBjiBn5bRCphA8yVAqxrKBODeFTUB9K3AAvwdoO6kGoHYBiQA%20760RAZjAF3FYHA0KDtSIDHuMsCJWYfFAB+TcL+DX79goGvAAGlhG+7zHGfwi1Y0LEsbmcBCBBdSA%20F7jZHdzBNH4OFvSAJ4DAZAAXCXSL34IAEXbLEVxu22ELnB2BZbFPKrIK/3rsn+dEQQv0QL9QQh5E%20wmoQHe4sAW4sAWe6hkiwwqNukGjyxrLSIAmcXHQUAiRAwi0GL/rUgATQpsdoVcj6gT3wQyXww8qQ%20gB8g1SgjVZYGwcqEgRgTKAmAQcKaW9d0gulVFHR65Eu4hM9O59K0hOkq1tEe7bdtTVAIBWjmodc4%20AiCwwSAowSCQAhm8QSfYQQcw2ximxBKkxBwKjb7pRHPt2q7dCN26rQi07RyQjDjngIGCweYtQA3w%20Qw44gxV8TCjUAZI9RrrwBiQw0vLkAA1AggCMABpsRuBi6KIph7vymXewWSqMwF/gTzFtzi5tjukk%20hxr8gRosgI3yAGJdBP8FCM/PHcA9IFZjAYcFTLG3YEY48pVinIFyWAdlnM+noE/GfIrJMccZ2MIZ%20hA9lTKO3gKAKFMIesOYZFMI5IgESXGYqQKO20IAQYMN+9EcBlMEKbMghIACHrQDd4toKQAH55uSF%208a8aGQgU7OMSUM0HWNEcrMANLBcOCADgfRFBEgCg7kATWFETBIEbTAIg/sKQ2AGjKoESLNgF7KTi%204UBh40AtHMIGCEITvIDuNd+chJGTzEn3igkBDMAK5MDIKN/+bphWC8AcrNENaFgBMEACpKqdxMCd%20igkOMMAXhUkWzNCamIAd8cc/DAJi7UEHeNoSANkMCIApJJYbfAAacE7/uo4AMFlAIg3BtiCxdUDP%20vMwWCNBKCxACvELGGfjiIiVyb/jiEhiT6BIdKCyZEMgPaIBGS6eL5HwHKvWZJMiAF3gCC0hvGIAA%20CexzDpBo5Ih3IOwzD9QUAggJKyzAISxABwiSZsKguICACHBANVSaLSxHD4BAKs8mVX4MAfQnrwlB%20HQSOCCwACpsMzHhz29KAABQsgZKz+nVC1RSNRPjXSfScLkMNHzznXmNES8SES2AEvZH1UPh3WQei%201bSU1TiCMivBGwQQGnYAL2RbJ0Bn8GAzGaRAGeBdOvuB3KovP8yBAAQC3c4BP+AtP9TAIuSAVCVI%20I7KzlqfAx8CDBHST/wqA9xBQAg0ozwyggWv+4qdNFiSoAA0sEuKSim4sGtptRmJcgRowTyTcw6J7%20gIsKLFv9wQfmz8i5qLO+08Pq4s99XCFYT8xhCxdLDwggryZoAhrQACP9BnJAjzRaQA9EAXnkxW61%20cRSgnfRg1rdcUwC0ADUOrNTlwWsWmQUEwX4wyjuAgQfdAgyAQSFr0FMBgRKdCJ+aQHqREZQUwCEc%20QgF0wiKAJnitZ5OYAk0YQAwAAN8BAQJFZZ6QgFRrQRB0ABQswpoaigE4wQWMV0Qe5bgjgnhxzAu0%20QQwgABgsQHSt5wdMpQnAgAGYAKpOQJyiwAsbQGsrWwHEAL6/WAJMAP8REcALlDANV1/3ZvwE6C8B%20QEEMzNjHXgMP6xEN6PYv9NwvIICB51gkuAEatKCLagIQh3RvKGtu1AYx6AwkNEEhWMAW6AEs0EIr%20VMERCBIYIEBII1a3JVYwIta5aYIb3IOMJhbUR71i8UIg8QDg7cEHsEAdiPEZlIXZezgLLIBWusGy%20sc0tgEEM1IKB84DTp0ZqCADh2sICsAASVEqzMnIdFMAlX4M7pEMMCLylCEAN2MyHf3jb8po48/cS%208gOIS8DLaAEC0EbCxjJ8xgZznoToQ2cfqATPmB636ThLgJSQe9oPO61EtA0CJKwdpOcb4MIalEHZ%20MCfSWkRJXMR84oL/FVgBKUSbM2h5IBioH7Sz294tFIjATbRtIEiVM2iBRfaTljMomAaBhSKBeMtg%20oN85CCyvsvYr4vq5eBc1D/QGMaiALXxLRVMBoqPGagid8uRB68qALVQdQFhgYQEEByxH8njIo0kT%20EhJ1pNlKiIYGB1uQrnA4E8XCEQsyZBBDM2SJh3si8xC7wkLFlSNYQFiw8IOjzCsj8nAoUpADiCsy%20Ochg0aPHGRIW/uSRYTFPHkggooQJ8OJfVVQAgOxBwIrHMEcGBBS4AQUKECgxNqzYAeRGASDYwLw5%20hOAAEAK1cOAAgggBgg0AFhTAAVgAghsw2BLAgQCRgSBQArhFYYAB/w4DMaC8uAAjrAEDWvQaOISW%20QIFDpYF8EIDoRmMDdmMQQKCl8Y5jF44lIJAABYq0UHbcIGDCwJwVBCagQJvghQEUBHy/SLDByQUU%20yQnE2qAFiuk25d6F+4djyRI0ajoIoPDrlxstbmbMGCKABo1IMpAgicRjSfwlQ4bwj7/+htilwA72%20KIQHDzy5gxMX9HChiAA76UC+X4aJj5dhNuwvPgCX4G8IHgAMMMD4UExRxRkggWEPYjQhBhJIEhRh%20DwFyYGGPPT5wYyseDjDFlFraAOIW+Qj0AMBI9EMCkg8gqcgND5AIQ4gVXsAGG3X+CSUGGETIgb4c%20FgBDBBEWyCEHCf/8qIMfGCSIE4o44/QDBj9y+OCADnjggYJhhqGgk/UCDXSJYdgLlAIK+sDwF17Y%20gxRSDBHN8FAeBPigAz33vKXPDm45IFQEEjkgkUFwIaWMQ8ow5QA9Cx3mllB5uMWUTgCAxwpnTEHA%20mTnErGGOYefgx4/uRLDHDxzFdIOfN+dYQIRK7OFnjhT+cQebINw4wgNQ0KDkCFA8QAOJK/JDwwMl%20AfRgFzRkOEIGFVTwQAYalthFBp+ukGEELFTACY1dltDEAx528SASFWgAAYl5fSICBJCOIEah/DSJ%20JEoWSGDhCluuCDnkM4qyAAssZPhD3SE6MPiPPyAZ6CgLrgAhJgv/NiIoZBVAOIMDFk4AIY8/4pUh%20oxNOoHmEXV6mQYZ1/0ACCw4CYACbf8p5YwEAPtijTECYmaCAHdYy4IYVNgACDCBw2GCBD8pYYJEF%20GGvDADAQAGKQD25BAIfWDhFkNSAOMeETGCyrBQYYDCD7sBhuwOGQQwwwgboCBICCAAM22KG0FWIw%20AAAY9LyBcARuwUGx0W7YYAMCujMLBd4meGGDY7aLzQnIN4iBbBRuYACFHTaAYoINDJgAuRWSg4I6%20AgaYYLoV3IoNm2uu+WeDDihxA4kO3AClAwQMWIEH//bIgQYk9uCYA/U7AN8NN4jpOgdIvI9EkwXR%20+IAYJNQ1i2mU/6IKm3DFiSCFIl6caAbDINASNpUD0i3hHiZCEQNnwAterCg+t4hf/EIkoj6FKBIC%20AIMAeDA+OxxgCggYRDre0AETLQGFENSECOqwByR8gAaaQMMV8oAGFoggCANIx9WyRYDFhUEEfmAB%20DIRQBxhIC05aOJMESgAFP/hBAkGQALBqAAM3HMANnUAUBbryKECxh1CL+lMfhsGHNq5Rg4lC1C/6%2084shUEAArDjAASIhqj4dgBV6GpWoElELXDSiDKi4gau2cihbOcIRizgABW5BAUekwQwIEIAzrOUH%20ftTADyKYw7HmNAdmndJacwjEIoClJmMNC1vakgAowKUGdVEiIf9HaJhILJaHXSQMDfCigbxUMDAk%20sKCYxOBAyOKwFBUcgRJ/WNd+GIIGFbAABCSYFzepQBAZxEEFJFABEmjwBx+i4X80KsQJOraSM5xB%20EjKRhLxGAEAPPAkNUfuJx1gwTw4ErScWiEK/jAaCE3CAA0jJwxF2doUThOwju1DBCWhwhWT+QaNI%20SEUQjoi1NyxCAAIgHDOYYYYVNA4KzunOChbAuPItgBVA6MsGCmAKAZRhBSY0wNxiIBi87IB8OEAL%20EGBQSCAUYAFBaMIKLrCC6RTgBQNom9gQsYLnPGcDLyiAWKCQgwIgggI5IMBcPrCCT8SGAASIQQxW%20cAMDEGAFUFD/xAaYg9cNBAF5MWDAduKKnAk4YXgx8M11oPM65Xlucwyw3fHear1rfKMcBuhTJNwg%20JmfMNQY5+FAHFqCjihSCBm6IRCQ+oBoBsCC0ObhR+p6EhPpBwmDuGkErStEKCNAgRRs80RAAVcEZ%20pFAAU8xTiAgEIPlwMIMpOhGJ+jSDXXzgfPxB0RI+gIAPmIIVi1gEAthghTaAgQLx4cEC3iaCQpTk%20A3VggQ/toy5dgjZLV8OGO77UxCvWAb0isKIIaiACNp2Ji3RSUw5EUAIE8Kk8tcokoNwI4UoBqg9/%20WtSh8PifFQ3hF/yhwBIoAEhPhagDfwySqAj5R1PgAhdlaOQN//wIAwTw4BeYdNUBuoLJDwAAAHZY%20hBZgMAcolMAPBchinJiI4DDlYFg54EcghIXePdSAH0z+RFXcAQVQ/EENVwDFCNSFhD/QgAUqS0ox%201amUK8AEBEvLw/ryIwOTEUQFHIkDKGRAiV0Isynw4uYZeHaCg1KB0FFAmsfWRwz90WBGLOAACXpy%20hSj0IAonkwlM5Lw+FtSHYTbT6ECeaYGWGA1nMpkYC4TAAV3ua55rDspShDYQLMyzICTzSRAYoK1/%20lAEwWogTIspwtrq2jXo7yCoOxloAMEDhAAu4ATwEcAAELAIABjCDYtZmBgG4YW1s8Yx2PbkAIAAB%20AEFo3OvSkP8XE8SALTDVwgcYF4MXHE+uwsGBCRIg4wEQYAeHeN0KtAAGzkGHAcqbww4M4AQGEIAB%20A2gCDnYgAAMMgKgGsA4BXrBS5OAOBccgwAYmMIEgS0/hvYFCAhJgAgLcoA3pyB42DpEfGgTCezAg%20Ww524Z+u6bA+NBhYwjYFpdJiNj9N2gMkmBSJYWpCo1vYBBVaYKENasiMPPjA28pzdRjUoQ4C6MB+%20TOEhDGZwgxqc+tQzpCKWfeA/HXhgB06Y2iCB1wwwR0DaQYypBeCIB/ewkQDcNYOHqmsXbkjAfa/h%20jnQQwEwiYMEcSICm/g6riRIAkymlFaY5hJFOXl9ChURVKEj/UUCObuzEoEhPgQ3VOH5/pABwl4DH%20W3wADIBxe2oZTIESj5FTplhhJ+zg4jKYIQZl+AAreMyKqTcXUJ0QVa9KigAmP8seQgiCF0sJgzBc%20/4uBOLAotaCFOgBYlHMwhDvQHwRdqmHLgQAgopHQFHSyAJ1ijknPonCEXYzgCBTJKEg4QBJ4hggO%20IiQowWAiAQ2OgGd2xidAIBVqBgR+4Ae4iQUskAUgQYgKgQR8xhac5ifOgCAsQBKwgApA4KI4IBBY%20IAcaymYGoiA0KmBUwGh+ogdO4AxOEGhAQAFBYCA+YmKKJigWUAaOAgQKoZtYAqSw5h8mAQjqSpVG%20wwwMAAa0/6B3NuAGwEAs3q18tktPstAUFiCoEIPcDAARTGHcCAd5wGBrPiDgAIA4DuE6tOoGYmAx%20ICcNzgoRNsCT4ioBfEcsJgAINqANNkAPN2AAkIcB5E0v1OI1dkA5LoBzPCcSpUML5sAAzuIFgGAB%20+A0HLoABHhF5OAd4UEA6CmB4LuB1GKAAOiAzXgByygAb2uAd3gEbNsB71IAG1MANUisS/gNAeMAN%20OqCYEvC3SoQkFoQH0CAS8oAHAChchmmYZkTMRiAKvKAIzkdDMijEloGmoAtMbmRKeIAFJOADTIQ9%209sj5OiE+2ANF9CjE+IQCPiBDaO98oi1ArC61FuCPqA0Qyv/gGswAAA7gFz4ESfpDACJBPvAnD2RL%20ZaiEEj6gvtQB/QhgDs6kiWKK64AlfaxoAQIMBlgARz6yDuIEBgpgDtwAjWaFxgJl9Hzvj+wAEAbB%20EQ6gE24BUVgGTMhETFJL+hbAa9aQTz4FVDxl9ljhxoRkVsCADMqADIrBChAhSARg7/SIPX5xUTzl%20AARApw4MyrioAISATuKEHNmE687EHkrgq6IoDMJAArSgDRTPHYIgzorpmHzpnILoCNBpXsJJJojA%20Aoig0hLizUAAElAmDi4tnLAgmlKGnULGZkCgAKOpBAOzBv4SnjxmJVjgnSTgDDbtXEggJjiAI0Zz%20C1DGIwL/4QrITCAIsCDubwbz4DGv4AyEQAbMxdE2DT9+QiMIQl7yYAQYSqEYqmEsAA1G4JgKYACy%205R/WAAq4wzEQYdy0YAG0AC02AAc6QAtsagGsze06QQCobamAwBQGoQB4CisWQa4KQHQKwJOUbWwK%20gADa4N4S4AZM4AaUAQwOQBkGwQzeoFcOAQYsBzoKgDNgABEWYA7sxi0ip3dsx7AaRwtWIAhuQHlS%20kWxATjkmYDaWA+Qsg3nayq16IwF2gHlc5wXaquAmY3YeMeWu8Aa05B+uYfHqQzVBYEpKxLmWy0Dc%20JQ8oocGWgCF7kAUCARJUgLRkxD4cgraQAiQ2oQkYaPk0/8HrhuAeTCtjTktdeKA+SKQkgpEX86QD%20CNIY+8QNtKKk9qA/eCAS8DHnZgBBBIBH5qfZEAEH3gAATCHtZmAJbmENXcS1+oQD66BmUk0NIk8E%20TEBLsge/9g7BIk+K4mTvOuDxTEnAxi8HuEMCzoQkp9PtRmjCOGQYDgAAAKGSlOAN2GDaOoEgZ4AC%20pOzqPMmEZGwfU0s14sdTBqlT/ihUng8XUGH4rMAKjOQDQuxI9GgIEij2+NSDOmAOtGCLoDUIhICL%20rq8OAgGHJEAIhOBMhGBOwLIA6uAEiAwG2mAi3UEIQIES1AUNQOEILNBmkAAvfclmouAHStACTDAO%20EOJIGf+tL7FgCzhiC3wiXl4GI36CINoMC1JBYVWACGpgFgitB0Nm08iMAzYQ0laCBKIgMDmCCrYA%20ME8mCnowEBaKA36gIJKmIGzhD0agZiDhCGyBA4ghD0CgCGozDMzpD4wwJmQAC042aUZgXlRA1Czg%20BF7GYYRgANyhHJgTBqCgCVzBFZzNMpwTB1ZgDgpgBQ4ByA5hPQEDDBbjbabNL84KC7fmOl0Pa5tt%20dMDgBg6hdRRjNw7BkjrAVQrDFGDgBm7gE1CAAcZiB7IwLbTgEAaAM2gPBtDCM1pHLZTnOaTnBpTD%20OZQjekBOOMTi40JuczbgEzcHCmZnA5ogFhJgAppgsAj/QBFCrjliIwYOIUuuoRzSYQNoIEeINAeQ%20wA3UQGPWB7PMhRgyCmQ4Zn1cCwlolwWAd+YahgQK4WMSxNHOYDaFoLeaawaubg/OZEfIZIjahwSI%209+q8LhL4xO0gKFN0SjV+EgHepqTi5wPA14OEkRI0xmvORE94kRX6Iux4wVXL6xfSAwG0Aj7cIAgK%20IQDOoAQ8swhIQAjiU0vU4b5iIE1ywPsk4CflV0zUJH3mgCTjBId87U4sz1O7Arj+BCd/wflIARAQ%20wBQWoVRvwbc2RQBEYIpKqqTIZIZrVRg7gALuQff+yE929QAcgQ2AABWSwAzEIFgB4BY6YUCU60JM%20JIXi/yeG70QE+IEtpVUCuC5buc/xBEwCwmCL6sD6qiEISqAEgAAu0a8OSiIh/oCbpIYFjiBqeiky%20LQAxiUAGZkEm5GVeTGbNLOBjDarSqGAGX8ZoGCqcOIAIiMAgJGZhqSAVQIAIMoJh1AASlgmgjOIE%20NSom/vJmzuAve6ASMiIAfoAKjsAgOKAlCPkKeuCZ5qkQ3LUI4EmWN6EENHaTo6DSZiJgdBYLNIoG%20TA1dhCAdqoI5tcoxppDdCiC1WsMs9FDGpu0TEEBrwaBuByEL16b45GbcspB0PiBrV2oCIscA3KJy%20BgABYkAL9uSPpmAGTCENAKD27MKxBgDgGEcwcmCplP8NEyvyBnagA3ZgbF6gCXZgAiRgBy7ABNAG%20esIZroRjN5LDsB6xrSbgEW3nOuYKdJVndHegCXZjB3hHdbbkH7DBAPbSW5BADYh302zBRljAvcjR%20AkmABFZrBeuDm66AIvYABGxBKHzCeEEgEIhTNhFIQ3yLGIQgtOqgEFAtih7CKMIAaYQAZ0VgpkXA%20SkigBqzEZsOANk/A+maaBOKEJIWANp36ZzhACGggD5ZAXfskQJYAxzSsRFLoP5Rx/iyAA2c6jLOk%20mN1BiaaYBEpJ8polTv0rTnzN8tBksWWYuj4MQx77UWYAQ27BDtiADRzhViCFJNA3Tq03tVwLTVPL%20tD7/qE9qxbQdzMQAIAaswFfFQAxCwQoWQVNAZYTQMcPQ6FMsksC2KAw0uA7aMizFevzqYLjZZIro%20QAiK4Pqg4BPQTy4pwV0oAQkswOcWsCn22GjiICYI7SDigArIaZxkQgTHu54Oggr65Q/i4DFjQmQj%20GTKpIBiOIA5SIRVS2QOiJmV87jZBgAamBl+hQmQBNpdt8ARkuQiYQAXyIJpM+Q9aomYG4ggLoSi+%20Wlu/GgIg4AJaIAQX6o7nhZw8LTJVeQHVYAWUk2nLAAyaIBIV4asWrAC0wHSuDqlMIX4QIQZ2LAby%20ZgrRmXAeGDxhwFMWoT1BYz3JmTX28DVeANlwYBCW/2AKOsFVTAEHSAEAFqEDAMB1pgMGeGAONoec%20wQAx6jCupGofV+BqoWAFYKAX5moCEhctTnKl8Eo3kEM4Khqvnuo6mqMKkeMFPMd2EE56kuMz3BYb%200oFLsOEG0GmakFcAAsEWVJAG2of+yCxBdldHbLo+3K8Hw/oMQKZfVoInENYW3GDslmsIiGEBwri4%20tRXSwvrVReDRtpUFsLqqJUCvf+YhxDqKuE64W/3RfqYQ0poFSIS5CvJECKZEhokhLaCrfVsIXiAd%203GE5lagOSokEyEQne4QXceRMQmsBsPi352AFgYzt8i6HAeWO1Oj0/kSPNmgJpOVGdghKaDhPTit+%20hv8yhXAMUICkKDvAEcrACobPEGC7DHZ1fUd7jCiBjLgdtNXkiuKkBkjS1uvAUcdv3Ksawb5VCFhA%20DSyvluSyJIZgBNRABoRJm5KCIbEgoLBgl2WACvhvAXXGAhpKEqKgni4tDv4AJvS1JdYbkeF7BHhG%20BSA5kc1paFqimBRizGKQBSqBI3zZoIpCBRiKoajeZoigEkDABF8NZwYCB6HXE+DpBNTgojZBw01G%200IjgkU9GYlQAJliACvwlDzZtmKtCHfSiootsATqgE9yga7+wMNKCkERnqcoEEUgKAd7AMtrgDeii%20bovLABYACuRKa/UWRY/DMlBgBZRBC2isE3AADAb/wbtuQAvKUwB6Bways3fcIkDBcOHi0wS21iS1%20QAACPTgeEQgklK4MANlax2xCtHMKTi02x3HJpnYmAzkIoHRHNwHOAjqs4BBd7h/SoQk+4JzwTKXJ%20LAdCpmPUp33QhQbABQ10KEr6u2HqoyCAhntrBgkerQY0wmcgrQYoocOG0ociYQ90XQhmGiA4sNjD%20ggWNKyAscBC4kIOFMydIcDhxJsqJHhIpKowIggVFFhzOOOQQxYLCHj2uoMmTx8OQIUt2LVnioQMa%20AWoiIclhkAaNQCBIoLwopMCLAf+S/iMAYw6LBSJyiKgjYkGOHHNIOIWaA6qIqVSj7hEwR8SHJUOG%20/1HgMexX2yG8fv3iNSOuXLrDeHxgBUmAm0gf1LhxI0BABx48DidW3OHWEgprO3241ekAq0FWrKCK%209yXFoAOT3ZjKUVjAhw9zSAv4OvWqVD8SwkiYLUSCkCC1Z0sQUXAq7AJ06tTJgUQEmE//3LmT8HLX%20Hxp/POyiNEKGjCMqrlBxGCVKHBlY4nyn0l2hSQtUwov/M+IIoT/W45tMSMQCFhkqqBABoUJFqlQq%20gKDGEUgE8kceR+gEAn/4RcFBDVSAcEYPRfSAxXwqHMFBKkdgQUSFRUShggwWnDCSSCwU0cIZ/eWh%20ghogeOEJe1h098MPCUWBxQgqWPADBzKAkgcWkf+I0IY7/5TTyA0rCIDVAgIgAIQBO2hRAAwIFKDF%20AohsgEMBYLDSASuLAAFAAQukgU0MAgwDBhhmVlnACgYQAAQKBGxgABBbormCMjggcIAAg0CzCAWm%20gBHDITcUgMAGKOwAAwPpmHDIAkCsgAgBMQDA5AYr3JADDDdskICXQeBpwAII4MDpC20UYIKeBLww%20QZ4rJBDDBjtMgAIDviYwwAbE7kAAAQxc0CsKLxiQAAobvFBGG9hc8w82BkRyxB9odBuJGjTsgQUS%20AyGBxBV7IAHKHuheQQMSNBQEVA4+XRFIvO/6BAkJNXTkkEIchFFDDfzMoQUQVNVRGwkF5cawLSD/%20sQDCREL0UBEJDp4hEkRnsKBxxhwkJBFCJJAAwhUaL6RxD1FofEIRQpBQBwsFCGFlUSsIoXMQQQTA%20s84wm7hQbUK8kA6SR3/SVA412FZAHU9LoMVsdUiQcNXCVQXVVl0JcMBMFAzDS1pzDeHWL2b/MsMM%20Q6x1SyQddPBBJH/FDTdiSywWd9w83MLDY4ndYsoBBwj+RmabXYMKGAccdgBhfqlRmAgFS0WbBDJT%20DYMfYVVNG2662SZBCUGgCYPOfkABQzzJ/bNCczQIeARLRyBkXX8J2adCHEdQEWAqIOxHhUlUWHeE%20DHGM0N4f2/7xRxwXnlcSFkdYUAMNwYxACSgq/4DSPBoqvHtFf1cAGDsHaqhAYcubfGzB+MGDoPwR%20LxeR+4ImcdCDQEVsosYQHvBAKoKhISIQUAVE4MAPokAF8sRhSBboDvKO4IE8SAAb/wjFP1BxgwV0%20QEsLAAAAcHCDQ6xgAbsCQC1iYIA2IOADCzgAEA7QKgSUwQTYwAEYKDAEAAgADAVAxALqBIQb4AAK%20JvxAAe7EJyg4SQCmWAM0rCCAToDhEDG4gRF3gIIYdDEGBBBVB7pIABPgAAdtgMGZ0BSDNhhgA0DY%20AQ5iwAAtfAAHjDJBs6AAxBswgIUmSEAQopUAKEwgBi9gQJWe9UZDMmAAKxABASLlCgLgIAEveP8D%20Aap1DWygIBKRAAUa1BUJNIDCXMQABbdQeS58IYEY8CIBEtTgLjUEoiAkcJfEYmcBP7BABGcohDAL%20URA/1IAnJNiDcEpWEIWxgASFSFe8nkmCE0SkZNUs2TUlApJqhkEiC2FmOE1GAiFAxJr7y9g1hVAH%20n3GgZGcImhBgprGSOWRBEzsDCaZCgHQkxx3YMIFVmGY1EcDgoDCwigAWIByoOPQrTyEBDESQGgHs%204QN/Q0taKLCEtqhtCHUxm1oawwM3HAYNHQBlBygBt70B5jSNSwwPOLoWwhWOAre4xSLKEIpwkCMe%20AEgE4dzwgdI4aXNzmA3nqlYb4RQULE8RQQ3/9kAQP3yFqUqVQM1qcRvZaIF1yinAEJwDAkig4Q/Z%20YYEFaHA8hIDAOmiNAyiwEAz+pKI+F9JPHEYUhyso7w9YuMIRqqOQC0liPvjxnQwGpAYs1GCwI0iF%20DNzVkQXR4Do1qkF/FpKQHkRQIW/FwoJSwR0FAslBV2jZQywAEg7kYTp5GEH6UoGFC+lCP93BQoQG%20S4QIWSA/8kNDAfypjn+k4BBzmMMEChAlAOygDRvQAgVWQAC5FeANiBAAAFhRgAIsYgFguAE2CACl%20W3zgTTcwAxBgYIBSIQIGOIjWDWAABhys6odLKMANUICCM+50BW0YQBkhpacVGAsFWPpADIx1/whi%20FQAACDjYDWIABQSoblYDiAFGQ8UkJiGCAgJo7wqY9QIo3EDAIigVCgZgADdoYQI7gIIEMAnjIDDA%20AH7YwQtMMIA2rMAE6bhGJ29gLiQcQQ1qQMJgkCADVIICEkmGlyaQ0K1R0gASHkCDYOBlEBCYqyBB%20YUEgbqkxfYYkEE2LiggKwbCqkcA2WGWIwt5pz4V4hM0U4SaddaZPIXwzCvbMpkSqaTF9mghiMjuB%20wmL2zjqcAJfwvKZAQHIxgcDACQBFkjvIexUaXIWqXbmKAHbylD1URQBoIMwH9nCVvhTmA40LGy/G%20Noy2rM1seQNN4Q5ziwPArW5z6wBhiFpU0//AmteIgUzfGncLCtiUDSkIxxdw4QjCmQIBC5jDQA1K%20UXsEYTayiU0hpmI1GEhAxmGgSg24chURhO43wamDbPhRgBQkBRtaGEIevMwSNExkQVjIj0lkML8R%20pe/I/iFCb7eg2+cd4eGxlcGCMLuQK8yHQQEqHw2wcMsFpc9k/KEBa8s3ItJW1joWt0APbAGC3PZu%20JBax5lsn0p0TREFCUXArFf5jjEpUAgTG0AURxGMBTpygtxbo0AnCY4GJJQQJdWhDUtzBQfZuAEwI%20wK6eCpAYMADgioj4EgyAUAYgFOADCGgDAb6OKLOzIg0MQEQBQAWFHQyRACvIogCgEEcDaGn/AliC%20QRpusIgbxCLAsQICsQxZJxxAawPpMACVTFCAQbECj4c46HrNHoNhfYACCzjEIbQwRxQIoAAGgAIO%20bpUAGBMgATtYQQG6eAwDLxcKeSLABJyAAhgbYACxWMEK7DsATv7jBh+YpQzcMMuDuAF8V3DeEYjx%20LlNCgkBI8PIRbBLlb0VCE6KEV+z2IJgPQAIStkg/DUZZA4MUYjh18MO4ebPmZ+JSZ1TJ3GxIEATe%20pJth9CdvMiMb+1Qy30QCYVAbIMFO70QRvCEBP2MRPSAEF2EiCwIRUVAx1rQQ3REyVxAG72c0SpEO%20l6IaNFAYewAVMFA1C7AAe0AYIrAHkcAD/6BEN1TlF1fROG5wAPfAFm7RFo/RCR3QOITTGEP4OEW1%20B3JjUkQFN6+2g3xDAR3QUVLoN5BhhQeQCKzgCICgBKZgB6wAGqdhVFvDD2HgB7BRApjDTlNRFFol%20M36wAL80OrwBFbQBBSLgB0BQDU8jb3MwCPEQCsW1A26gBiwQQAFyAgkxPjIAWPbBHv0hAwCiBsAT%20IQ1EBNSTB7xzBHGABjLAAiMSIE2XOwF3BdSDHRniPUARCPsxMTLgEyogMWnVL/2BBQVhEoUQBYUg%20cQHCIlhAAkTAAkRQPz8gEihhEiXxEB1xAv0SMpWgcJdIBXGgHwsUBT8wPEwQHgtxjVQGA//+5A7l%20UAZvAAYbIAELUAsHUAsLMHwIICUAgAjtJQhyhwBaxCpSogWIcAMQFgMxYArDdQhtcANZwicwQAAF%20YApOsCU7EANNkgMrAAUF0AH4CGEmAA8DgAMLpQUjdiw3oHq7YgI3YEktJAA8wAolZF+i14LrhQAG%20kGC1MACiZwAgKQBxVAC18iu6Zys30AR0wl++wiu/EpLQsgITUJSw144LICuchA3Id0rqomR7EAiU%204AFNBi9UFi9IADHvAi8E8i574BOlxFLJZIhf6WlJRgxomX7dAiPmsge2YGqR4AHMRy5UxWrvN08z%20Qy85oDASEAAAyDBv5m5qqDC4sU/vFAb/JxAGZxAATSUE76QzJXMbZzAVFGFNJCASqaU/nmAxPWBN%20ddAyI2GZdQBk/6AOAwCT2XZMNUBuWrMACWUVq6YakSAAdTAHAhAIDkUap3EawnYaMyhTRGUaU5gY%20JiVsLQUKplCIplEYRLWDUIgY0Ik30dkJvXYApsAKrACGpmAKH2AKzOkkOcBqLigVV0U1dWBuNVMA%20mKMw+yQBA0EbOUACliMC3VUIC0AHIhAIZPEJyoEtQBEdk4UFkiBaXIAFefAHCYEFz3MfewU94aFb%206UEFs6BYyIM8cQACDBpw4iEe6jECF7odypMhAWJX1uM7qcAEJFED+0EEqbBXd8UBmAg9/0kXB0yQ%20Tpiocr8VBf1TBD9QH8MzcFhQEQtCBOMTPfVxBYSgQBYgCT+AElwQBfUBApKgI3HAAjaGDeXwD2kg%20Qsi3ADvwQi62AkGwA6tSd1ykBVBgFVqQXCjAJ3UyB2AgYN11CC8wJQKwAhvgDAUQAzigBW0ABAKw%20CCsQYdFFFnj6AX7gK8eAAjKmCDuwkCZgAKZBAHvyAsUie3mTA3miBTegY326Amg3BwbAkDegK7kX%20A2M3BzaZAFrQXiFJACE2B4iUAEBAqWHUBDc2AYqQBQlwDK23D5CSBoNQDtjgDqGQDk3AA1mGBjTw%20fVR1D8z3LjJADGjAAjIwSqBIDCxgLv9HUC8HcVkH8Qea8IpXUAhIcFHMBwnmwlbkQgMeoAkswKxX%20AAkW8ErnggYgYAuvaAvcJB0ecAUlcy5CUAgcIAQ1QExnEDMyME+eIAQeYU4BoDFFAE0V8hEJGxIS%20QgKshZkWUAQTcQULSyEnIASekLATiE6dObJC4AQDcDSnmQDdtRtRIWpj2IJxmIILEAhXURY5MBhq%200BUtKIcuGJxjIQCscBpjMRYmBQpuQBpq8AFMq5zdqQamoAYIUBgd0AmUsDdCiBgdQFN+QzgzJTcH%20oJ1CNSjaZhrhGZ4LILNQEwQrEDpvq56MKQE84Z45EDMiQAPrKQR+YJuscJ/DIQJakAL/xpoOrlA7%207hFYW5CgkgCyCTECAHQdIwBYMQo96TELcUAIv2Ud39GIp3g8KhBYcVAKKkAIvDM8AbItt6MdRwAK%205BEF/UIEUVAJTbcfFrAfupW7GRI84FGNXOBZFyoJE3EGxYgSJbEFw2Nxb3U8g9UhJZE7RMAEm/kD%20F8EECzSlTzqgKhAIV4pBVoAIAJCUwgca+gVfE6AFYJADimdEKwBECzZiwrdfHwAFbWBCc3QIYPAC%20izB29vUmQOBFB7AANxDAK6AFUwMFG7APTcBfkfKoi3oDgCcAVjIBBsCpIfklcwADa9BFqbcCQDAA%20IkBUK3ABGxADt0JHprIBUBADLXjC/wmAAzCwkGA0AWeEABMwAAWwkCgwd7p3DI7qCgYAAQwADb3H%20jxuADQNgrAMQADxwSmgASmiwapCQA3EpA5DAPEgwrsQQfeADCfHyHLaQlflKZWd1BQVxBS6hCTkA%20CQtgCxxADBxgC7PTs5EgBPECMWDsLvp6LizwHCSAZXngE7nkAVgZCAxzBUiQsLZAr3VgCzRADFjM%20ArYQTAXBAcKEyRUXL2hcCJV1AhagsRRBEhExyp2JTRV4ETBTNEuMDUeTRis4G1FBA3NDnAs1FrrZ%20tmVhm4QxKrpBFVCStC1IVUEbnstJGmPxtIXhGvpJGjrrF3tzAKBwGIAzU4+BUwfQCf/YrGu3cBgd%20sHdaEFXh+RVWgzWi88sQmBsF8G1Qs85X4oJ1oAXxvBsLsAyFAANv1l1H8g/pEASgMD6/BT1xYBEW%20cB3zKh0H+gdMdhBoMAKjFHCxcwU1QD3GMwIswTz4MT4B0h+U6FigCAKzM0rnEghxoAYDAwKkFQgC%20g9KVABQlUAOpkD79cVcYSrsWUSE4Esol8miI/FsYKloQUdDgER+i+FnT+wg9cCMWAQIRYtPnwQIr%208EjY8A5mMHZWjRWhInvw2IIAUGAoAMIsCQUjRqYbMF/xZV8dZl+BSnoYqQU61ihM4kVwpF/71V7E%20Eik+2XvzpQUbgCySUisIbF9lXdb/JVTWBmAK9BWpXaJfL/ACMICnzpJcuqd7rpIAuleUqgNjAkAA%20TuAlLxApE9AEkjcBNMYpG7AGZpAOGgRQiNABqcEDMAE3gIEEyqpkUzZKxLGVf/CVJEAMkeBpDPOV%20OgEJuGQLIDUEH4DPBNHGfMu3A8EbgFkQBbEHkFBKX1kI8eIGIiAEpLbc5qKuBMECj/yV27oTXEYM%20IsABvz0zvKFMBiHde8Awv+RNLBAzFCgBAbNNmFNO5hQRMBMEIngtJIi0LbhPsBk3c1MYCPCaQfCa%20XyEVDKU1B3VqqwYGw+yCV2tsCxWchZFtV1E5yQWequEXg0EBvzATw/AYS9AJfZO1/5DRCdSJdsu8%20OZsjAgIQCQzlVMNBnnu5G0x1nnVQOhNVNTUzs6GGht1FB/gsAQf1CcWFuNsCAqD8Vh76AyqAViqw%20EpKsCeCDBAfiAQvdPUeGHUHyugeiPaJLA1TAViCwVxtdW5ZFHVcAI0i2HTWgBnEwMCJCiSyQCoHw%20jCjNOypQAydQCRPBAdtBBBTyA0LABCxA6EXAAjcHIwF3BEHxVhNjcdqhELXLQAp0Iw6Bu+nRHUTQ%20ozUQAMVXDuH4jlCiVbuyAW+iqv07JdAlkFoCAFCAAjcgeQaAA3b3RrtOQisAA6bAqUAABCbmvvBV%20ADiQd3syYYgABXw9STuwk5DSwP+hQto6TKY4oKkbcCsyaQInBAPNsqej6ioaJgAJQKuhciofYAAv%20YNkGOQG2csIXzEUPmQAGsALxTiXEcgH03gTQEO9mVAa1YAL/lEOzqQYa5QFsUxOUEMWhdGUigATv%20qmTMigTYzXwF8S7q+i4CQNwskAdD0IOQwAPhomTEEAQDsQcFEN40IALJFN91EAgEIUvNFC9CYGq2%204AZlyRPkHS/tra7iTQPJZC6BTC4yIxCAWQclkwNnIByPFpkB45gSoGjzZLA6M0/WZE07E2Ca5g7F%20cLUuSMwNJQDL0IL0NRUuaLct+BUwgCYikBPkQhUXtWpfcfcf8BeDkYQWxbZP0W7/qXFMrlH4qvG1%20KZ7iPNAJYLP4i+9rf98VTjEVXzFq7sZO+3QVBdHjUfFmUgMGE7VEcxIEfMIqrIYAV7EAhcBVJKCf%20C1AM/RkESFYSIwIKcbBxx/MumvAcexBAFRSXkQDGgWBWVdYtlEBBEY8EHL2uqfAup3RL4FIDzadl%20BvEioGDSd54K/RIIwUAJL2LSIKCiNRAItFUDIQMCP4f+OioEFiAEm+CegVAHNWBOJ3ME3ZJ9l2wi%20IDGyDQEQHGpwqESQCAgiRCoRoWIhCpEoIFgEGDAAG7YbOIAsEHEjwA5EBWqBAaCFlQEcOA4tAMKD%20FSIYOzag2FETioEVK2TiRGQA/8oKKARuoNiwoSaQmxtiGCgQYwUMILVWFNjwIsZQAyhvTNhhIMaL%20BFByFICyg4GBDQxitDEAZgGAGGUM3LhxiEC6GwdiokhAc8IGKC8mDJ3AdwMBFBMM7LgBBUUMrgQG%20HL4wIcYGAwRWGEjQpg0iRAA+/VNHrlxeHpQ6oFnCw0PqDpSQzIa0Zw8LHmgisUDihpibPTT2QGIR%20iYYbNG6E0/hAQ4KEPZE67OFx2zYLAbeXdOhAQwAkWyIg0RAhnESdHMQWkBCxZ8Ft3pHqQEKSo04d%20FjlysMCPnYUIEqxr77w91LCFBAmEWICF8wBkQQgJ6iCBPRKEoOEECc+Q4AQhSv8QgoQTgijiwxOK%20CKKEAoJIB5trrnHHHQLcqmOBHATg77k6YNCigBxh2OODDj4Q4D2OYAhChBlz2ENJAeqzzbYPPkAC%20SB46GHKPIWlcYEsa9Qsku0BymMOPGgNZYI4aBejgADcO6KATHiiQk4JODjBFgBxgEGHLBJ8L4z8R%20WAgCQgADzUEEAIUQIj8WJAiCRhgKACInAxAJQgsYFtBCCzC+/GABOhQELgcr/nEnnQBUUMGCYEAZ%204YgaiKABhECOQIMYGpCARBMehvAAkkiQyAON2YghBolI0PhDWQ/yyEOFXI84AoloaQiWhkCIZWHa%20I0D5IxAQQFBDjVRqSOUINQL/AQUUW9WgRI0oSiAikFRAqCHWceMIF4QeSjwDBCECEIKDXMk7gbcR%20/rjiCg5O6EGIfnuo5IwTDgIBi4RAoCJWgiz4gYOGVHmIAxACYMAibMwAApGueESgABjqAA0RIASp%20qwAwYGBlhxWYCaIJFIIgK4iiWF5shQ3agGGDOZC+gWcYbtgUiq9gAOAQnAtYQaUCcLgBsw1MmAmF%20GxBLgIEVOmBsAig2mKCzG8AAApsYAJAbiE/sIgCRBXDIQYuhUHhsBxQIAGuHBCbQIgGZEkjAqA9W%20+CuWCagSagNEqEZBpQGwRqAWK9wh7Z8YDliCEgEEiAS4PTpYHZLyjEMCjV/3/xBB10iMG86NHJyE%20pEkkgttDwl6HWD2S25CoAwkkhxiCByRIyK+QHAoRAflC9gieBEiAq4O87EQIQnj+6ojQev4KkVDC%20PYS477869ijkvwDpZ3DC+SfiQAIacpBgQgYpqn4SKEIRSFCDMwjhBM8BQhuw8Q8XuaMYW9pToEQQ%20IfPtiYKZWpJ+0CQCPQVBAkiSAJk+oIY9jDBN/dsSltwjgjl0aUksmEMNFlCD/QRiSSIIA372g6j8%20NEkAMRQAkNSQug+4QUg2ClgATCSEHoogByTwg/hgwCgp3qhP+LmgELJTAAm8RwAiKEAZC0BGoYnA%20hnSoAx3yww8YfEJ05QhAKv/YFQcqUEFjapABCDhwBSRggQaaQIMM8uABJNhCBkjwALGQ8AckyOAP%200kLDETwwAkqo6giQvIIKLImEI9BndrOBlqrUoK99gUAFoKDEEc51hGCoIRiuJMIJOHAuFWSMCgkB%202aoawgEOnIFii/LAsmhggUByIAwWaNgJnBmFIkRBjyCwgCp3SQRdWIAIqvhBQh5ChB+E82AUqQg2%20ylAHHAihGimCCg4EUIcdEEBpBVgADA4hJALEZAUXuMFTYCABFCwgMzwjQD4/gIgcAGEHOMjJDQyA%20AgTk4AVGmQkYVkCXzSiFALFQaFtWEAQUMGBtZJnDHHDyOMsAwQCHuMqWcrL/FHlCYwNayMECGjeT%20oiSuADnAQT4LE4PEbSABTXOcUR5DgMU0YTFITQtTYFAGEzxQHeVYAyhao4YcHAdZHlABb7R3LGLs%20QhOUAFZydMUCFtzKFmjNHg2IQazx0OAPS9CEADyAq+9pggXCgQQaArE8AEpPBIVYFA1IQIMrDCdY%20aAXgHgJUofMw6AwkmJ8IEjgh6X2oEDSAhALxs9b7TagOixKsJyRAsEI4c68cENEZZiWEEXGAmSeg%20UAFekA54RPATZYRBIRLkvv9ooT1K+mdN9YSkBUDIfwvQ4W2QhKgIjZCKdUBSzGBwXClmhyMx5CEP%20peuhJSGIPXUIggDcMCT9/+gndTmoon6MFIBB5e85QhDfCEXIghPaLkFhIOFzziOBGtGoiOddgPkK%20MMYyBsEPdajGCtZXxtGcqo5YOEIesSBNFchABeGKJCDRQINGEkwGkBhWJP8Ardn8wQMyQIMnJfJI%20NYDgCkc4pCaOQMg8gEJZV7CXCnKcByKcy1XBUEEqjLxhFdSACmooMhXqRQQKq6AS/WKIKo9ATQ48%20qAiBGMIuZpAHEPSxX8yMQpnLXE0/atMCFlDFJS6RkIR0syEMoYIkiNADQZUTGzjIWR2oIhMC0BMu%20GyjAByKlhQUI4BBPwVwTgCABLQCFKQXoClpgsAQwQIFqTjOAFoBAz6g5Gv8zQIgBUAuwCMzEgAFJ%20senTJoCYAuxjBTyYA+EERwAoCOAqAkBBW7LyNaHswAQ6QYArIAMWwWiaMzUxwNtewJQJDGAFeCIA%204QhQlKw8WwDXNlwMDtEGE6RDdP/AxgY+wEpQ0OdalKCBrRB5WEbmAQmFUNZ4gscbQDI2D8JBa65s%20ATv3AQtXnBUPDcgjAiEQgwW2MGxckbBXeoeWA5RlHoLOsIeJ8weto50QDQpBWbQK4Qz4kZ6GrkCD%20kI98QmcoAmEhJgHXsqBhk5VswIZpS2BWQrVkfMEDr3ERAqTOURAKQ9HDIIE5HLG+hyqBCP3gKP7m%20oAZoKpIf/hkhNLlHAiv/yIEbeAdDRPmhin6gIg7LJ4QgiPA5g0qR0Dr0PwnwF0A9NHsJAnB3kecH%20QRBKEBjvM4f+mY+6ejpUgmCgHwlgxw2wM5/7ChUo8kYIAAVgYx3CsKM2mAobEqAEISBChTgcQQYy%20wIIhm/WHP+ThCHGgMIVZn4cRvCoOV4jDJGOvYRlc4QwykNbC/hB7TTTyrXnQMBKiYIHV0zgPlQBB%20hZuPBWpqTGOqogI0oazzPOoxCj+QMRWufAQW4LkHm8iD89CgegtoOApniAIHehARC2Q4Dmv+QQ+I%20wIQeXIIJTOACEbbwgy2QBEnAglmoszAoBHK6CD5bAKq4gGqomUhrgqLQ/4+aSLQgIIAmgAKq2BFE%20yIlDeDZCgwoYyI4YIIAJyAlmg4JEAwKyUShlmIAL2IGyoIljkJyZOAYUUAYoUIwb6AvCUQYtCIqv%20iYUg1AKiuIEc4Aub6IWeaoIYQAFNU4x4ioUEiAHEQQzEeJvBcBvJAMKbeIxYIAAnIIALCIId8APB%20qcIJeIEX+ISTcQdswAtKWAI0UAODQwM0YBgVSJg8IAYeg4Q/gAQQoIEsgyQZyDIaGLErYAFAsoDx%20kAFCZIFDlDlGBIFCsIUzuILxuAJbAIE9UIHZWERGXETEIoEzWCuKCSAQOAMLKAQ/WrlFZDkLEIK1%20MqBWZCxhmiwZOAFh6v+BMyiEmZMBYNwEYZotXpw4h4EYXuyBIuCA9iszX2w/TySBF7CIcsCGNogB%20CkKUQeEHHMIhAYCCMFgwEfADMOIvfpCiGvCDMNAUCbi6GYEhNeEB4ECTI6qBsKuvovODGviSp1s7%20ElAdjlgQRLkPCwoDCBmt/RotvEsQgXGf+SIUjkA01/Gf55gvMJKiQ6GuHOieQ0GUClKUAkA7P5gD%20GKADDhIASPsEdQiFdIACShiBOJjJOOC9EZCBEdiFXTiCK1AxGdgC5COEK7CAOBgB2MO9IxBKo9Sw%20SQqX0cMCT0K9GjsCt/qDY4oIaTkCmZQmGWC9XYoVKlABKsDJCsOYNYv/CCxIP0LAAg6Yha4kvRNj%20RUXBwxP7gz6CPodwGLSMP4eQJhDgAiZoBS74AS64hMGMgv6TBE6wM0ngAgvIgRWwiAFogzeQlENw%20gklDiiD4J6J4qI/qil5bqhgogD3QAsPZmzOKlBhagWvDia1ZAS04ACigi67ICaDZAWXoih3Yh2gz%20gH0gAGiQnBwYihUQHBkkgMfRQQJgACDAjAmYgGPQgtzcTRjwi33QNGX4ChwAnCrcKALoAATAQQGI%20mgmIhRdIjCokjIJKACe4gKyAwcR5zsNIAMnABjgcAAPwgCUABRRzlivAykeCxIVBAhUghj/oREiA%20xFFMUE4EJBoYFo/L/zISyDK0YgELmFBIYNCFW8QLZQFIuAIOAcaJmywLYIEz4IBCsIAr+JC1oq1g%20OgOZUxQWAMYT2ITNyr0zeJhcbLmFWcUiAIEPvYJ+KQTRs1BhyjIL4EVnmqyHecYfKIIeeL+MqwMn%20QBmgA4M5QBR+iDoP+ieaGpKSgqEwLUmxI6NEQwAdWQACywE1+BSrQ5MhKsd3LMkxQbosTREzUtMq%20+QAEqKdM2ZL/wJGj6xBFubsgYA8h4JEtqYNJmQoa0YIwapM9wFNJKYAHzJEyAgMWeI8PsB0RsIUg%20uI+R5JOd6tM9WAYzmQMA+ALNCwIPiMlpkTFkmRbUQyytlAFm2kNmev8VqJykhQG/SGIBEEA9P2Ik%20YlGB89OESNCEY9GEfWNEUEIXEIgCKOKAQGgUkmk+arGkPNgr6AuXDFOBZYE+3oPKAoVEzmI4ttIV%20DrCFYGoYKAUmYDoB7rtQZvSCInAmW9Km9iOzs5SeILBSlSkAAxAEnKkFA0AASCOcBFgMmgAKkOKK%20DQACBACDlFApILCaSdGaq+inocCBAjiAOTgEQgMDtMCBvtiHfSAcZjuGHfgKFIAGKHAGE0iAlEiJ%20iyKANUgdr9gBaDAAaDgGxoEGwfEJwTlBKGBBAjABlKDPWJgJaDCFHYAHLUCARaALoMKBGBiAzala%20IDAB5ASMJpgABjj/BgNoAvo0gVgwgZP5h1CYDORIBRrwFjwkUCSIA/oomFyJK5Qb0YXLsmtlKxaA%20JLZaK2uViIVbKxm4jbUyOLRSV5kruTqYLJCbkA95EAY5AfnZK5QTj5NLpNG6gkjIH0Z0LCEIDomQ%20iMOaOPxhgUD4OMbikMlKIEWBLUUpEdgCJhN1Hyq1UmwwgYjSArUTO7GrkTQRAH5AEw/yAygoIRjg%20h5oqIgQoIgHIGbIoIyjAFOPVDy3wA36oojEpyakDoS4xL+5wDz+jp41MEQhBkLTrkPclgfdtD5Yw%20AD2hEQQAoRwAg/01IyAQAqiYCiBYJ/rdVIPkCNtArkI4PDe4hQOI/wRW2IMsFQ13CIV/MABQ8AAN%20zjHa2QViiRY0oIRC0iPkC0vVw4Ir6MqLSRhQQLkHZTcS4FYXxsNI+A002AVEQgJ20eGuqgTpIZhi%201Q1K+INUEBY0CBcaAEVXooER4E8Vzb0wUwFIMMrzM6z9qETK4sUYZcZmpBgLuDAohS19jYIauBgW%20sJheutAFCAIHuggryJqsWIDPgQFXmAsZ3MEd2JGVfbUdKIA3WJkbEIQVUCkcQAlEuIGr8IlFSNqL%20mgNE3s7mbIwEOIYN+Bqi3c19QIEByOMJQAClUAYgAGUoUAZowAEUAAMwQGTKQYFjGIqVJZxjmABo%20eM6YnQtogIYbgP+GGPCajFiKGGBaEyxlHFAKBihlunAGYYOGgsqMt4HaXvhZoEqBi3CHyRiXWjE4%20h9uw4HjcvapQarkNEqAWzmW4SLyNxPoj5sGW+eEsJCAGWyBnYgAFbr4s0p1RYQ2OyXIs4aCth0s8%20GpgsNLgN4hCC/MEstNqDxAIYGK1Qgg6DMwgEECGtCpWAh7FcXqzdAjqBRbRKGbDnOviEAViRdygH%20K0AABJi8HdkRmEEAUzCFOQADSYEBVAaDHcnel8YUBGCFITFpGNAImCmJ61oEObbaRbAakigATEHl%20RcgBoZ7e6WWFii0AALCaqT5qIACCQTCj6zUjDRSJWqjqAmCGoV7/AJLAFKk+61qIijKqhTrIGZnO%20GesFALL+AFaop8lzC1NYE1ZYBp3OAVNYBEO4hn94B5jkgSU47CUYghkYgiCJkijpAFCwnUPZ1ClB%20Ax6IhOjlgctGLzUBjg+Qjg44ryLSbDdghQ5oDSv5AP1Qbf5NnfeIKOlQItVOtCxJndTZE+AYSNsp%20hOzIAc0WgIqtgz7NlEiRAEWtJwmwFD5BtKt7DkgFI+EqEkQ5PNtxnx1YkXJ4h0kwaVaAAUTIaQDY%20gDVYA41YgEHYAODuGiBICQBYhFrAgTcAABwog6tZA5iQGxyQ79AgBay+AWdABGUYBADAagBwhpWJ%202YzI2DJgqbhB/wAgKIMX+G4ASHBEOIQJLwMoKIMbAFtdzog3wAFl2HATYCloYCn5/ppDYCnQKEEz%202GVoSAFvw+oCGIS6uJqrOASQRYRf3vFSKzUCGARnwAErcCBTcYcbON/UcYPVsY3sSKLsGLDs4CDp%20ECPqzYEoWYDQ/uzpUJNAiBIl0fJPeW0h0YLado9Ey5Q8QfM9AAIR+IA5cA8fEZICcwsrt51OTTQu%202ZJMGTA/qxEXkqJImdQyQu4yEtXNBKMyeo6pmIPGjp89QMkC+IR0+AdKJzcrMAGwfYGCwnQCiAEr%20+AQTaIPJxHRNN4EXYAATKEFTTwECSPE2SIcBCPXL+GWwBdsS7P90Tv9lTT+bF6h1sO30X351E/h0%20UAc3tW0DNjx1Un8BJ0j2pTWBT4j2aA+FaPeMU0+HT/CMak8HeZJ2AiiGT+f0UO/0NjgETA/1Nmj1%20BICGYmiDaDdBAkgBdTCVf2CAwikokhUErziECyiKgroADHQCJ1AEgb8Ag2+CCzh1J2iCJiio9gT4%20giJDGBTDMSQAQei2y4x4sAX49vyLiIf3yvj4f0f4io94jneCTzD4y9T3T0D5gvqEtBV4TS94w3mB%20fmfDMRT4Zs95Zm92ihd4MmzPYiCAi4AHeEgDlcCBCjeDQ3AHb7u2GFgDugCCQ1hbczcBRF7wFEjx%20Yed2b7uBNMD/+hgI+1i/ATMYBExPg7pA5DQATlXDhgQ4hEkwgcm8gTLAgTVwIALQ2nJI+3QwgDaI%20havHxrEP9lRvAwZog7A/9wr3dBMoh1hPAVnvekxvgw1IA29Lh1THhgEY+0PYcFA3gTRQfFTHdPK2%20ghQYAHgQHWx3lB0IgBWohiDoCQMIAAMQmoJdDIRFBAmcNJQwgHXqiWqAAkHA/RXgfUHYgSaoCaXK%20/WooWEFQqp3Q99/Xd8xAiwtI/qzAHNZcDBxYKCes5O0/hK7QfrQoCqWqhsNo/kPotQ1Ygeg3CqWS%20QAm8NqVCf0EoCv1Hqh0AiCAGAmwwYEAQCkHp0v37p46cQ3f//9Jh+4fNHUaJ/zBuLNewnDuPFbGR%20DNVwokSKJFdiY6iRo0Z4J7GVY0myZs2WJBte63kNXrie5eDZJOluJMd/IstRHHDxqMs27ihKnJr0%202smsWa8NGLAxnbsBDAbA69lwrEh1/65JVGsRW1enLRdefOquTSiMoW7mZFmuJkWG1/7m3fh258WG%20O2sqPspSqeKFR60ezauyoke3KDEazaizKE3HRleC9TyVAUmfg0m7U2dS5t+R7zbKSfExpEfFQ9vI%20YTmgJlG4JHtj6020ZpsUR5l+zC0x9sq+KVr2nTgzZMPJH2/Khfv7M7Y22OCJL1eeJsk25bHqtnj8%20Gjas5NRdU/8Lr2s61HXb5Lz8mTNY4BW110Q0/SOWU1QlZdFhLR31XV0SzZVTeW38Y+Fnh6lkUSh0%20TdUfU3OxJCFdJC30lnikRbfSRJbdtRF9al3zTkrY7FUVjFpp9NVbDKYjkootOdUVZNk1hhRoNvUI%20kmpmwQdfcCNmJ1Fhn4EF1kaJTRYgRrOtdRJs7JUzG5EZxVUfVuqIdZJb6rgVZVfYmLCSeHQZphF6%20KznVl3QfWbSUTDThhJ5S6A01UoPmBUmVXx35qRiLeeaZUzlDmlhUiBRdOBZFZV0zj5wUSYWNW8sp%20ptVfJ4VE0nS+9WXTq6j1t9JRfxrmUEMJ+iVXTnNe2JCFtYL/ROiFftmkUoo5yTVkpY26xVhua3nZ%20kFqVcnrRZU79mZNFyYJGaaGSxjmASiZh9ONNKkEn6auttjrSoeb9edOxLKEbW2zIBlmvvujBA91U%20F5nkJntaGXwwwgkrvDDDfs72ybQNSzwxxRVbfDHGDM94ahoM/ZOCRwVnPDLJJZt8slLTYoYyyy27%207HK0ETdkW6ov23wzzhRb4cggH+f8M9A/l4PVSmYc8Ak277ACSGtBO/10yx6VUwbUVVtNstRFWmHF%20P1wXeTXYYRvcBi5cg2GH2GmrjWpNVnQChBnYAGJKQzKvfXfQIbdhBy524/230F//AwgrpNxim9+A%20K46yGXaY/2JFGRQotzjlNg/91iGdIHCAGVbc8sU/EFU+OsqoIJICGwKQvnrUM5exeQq3TMI67Rib%20fkvZt0RbO+8Se0lS5p8g4EgxnVgBeu/JL2xCIqaYEbk7iSuvfLRSD3JAIrf8kwgAtk3/fVYIsDHM%20IJ6nsTv43/+UqtvCA/BOJ4akP/8/1/9lRif001+z52W8of3w9Dc9bCSCFZwzmvwEqLyCkaQMt0DA%20LcpgBcltTIG9cwTdylGLTnjPgsmrWTw49793IAAAPvMg7ayAC1J8Ym4WQiHvZjSSdByCFDcYXCL+%20gTwYss4KB2AFKnBxAOnxcHQeAcMUTHGA7YGhiLwrhyneQIBEJypuJDsJhSOaKDIqLs4dVngDNhxh%20B/RxkXVlMEMKUkABK9SsjJUzwyfcODr2WPFXWwudZuSIN6mlAAFv0OMT22CGxwEScLkhYyEBhygD%20nUR0iQTcGp7zyMrl5hOoUAoiJwm1Q2JSk2uj42E64qYveVJsIDtJJkuZNo90MH0BAQA7" height="124" width="623" overflow="visible"> </image>
            </svg>
          </div>
        </div>
        <div class="fig"><span class="labelfig">FIGURA 1.&nbsp; </span><span class="textfig">Tractor utilizado para formar 
          agregado con las gradas y el alisador. a) Tractor YTO x1204. b) Grada 
          Baldan mediana de 40 discos. c) Grada Baldan pesada de 52 discos y d) 
          Alisador de fabricación nacional.</span></div>
        <p>El método utilizado fue el analítico investigativo y la técnica del fotocrometraje según las normas PG CA 043 (2003), <span class="tooltip"><a href="#B18">NRAG XXI (2005)</a><span class="tooltip-content">NRAG XXI: <i>Máquinas Agrícolas y Forestales</i>. Ciudad de La Habana, Cuba: Ministerrio de la Agricultura, pp. 18, 2005.</span></span> y <span class="tooltip"><a href="#B19">NRAG XXII (2005)</a><span class="tooltip-content">NRAG XXII: <i>Máquinas agrícolas y forestales</i>. Ciudad de La Habana: Ministerio de la Agricultura, pp. 13, 2005.</span></span>. Aunque para el procesamiento de datos, también fueron utilizadas las instrucciones y metodologías expuestas por <span class="tooltip"><a href="#B12">Jróbostov (1977)</a><span class="tooltip-content">JRÓBOSTOV, S. N.: <i>Explotación del parque de tractores y máquinas, Ed.</i> Mir, Moscú, 1977.</span></span>, <span class="tooltip"><a href="#B7">Garrido (1989)</a><span class="tooltip-content">GARRIDO, J. P.: <i>Implementos, máquinas agrícolas y fundamentos de su explotación., Ed.</i> Pueblo y educación, Primera reimpresión ed, Ciudad de La Habana, 1989.</span></span> y <span class="tooltip"><a href="#B10">González (1993)</a><span class="tooltip-content">GONZÁLEZ, R. V.: <i>Explotación del Parque de Maquinarias, Ed.</i> Felix Varela, La Habana, 1993.</span></span>.</p>
      </article>
    </article>
    <article class="section"><a id="id0x92dce00"><!-- named anchor --></a>
      <h3>RESULTADOS Y DISCUSIÓN</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <article class="section"><a id="id0x92dd080"><!-- named anchor --></a>
        <h4>Tiempo de viraje</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <p>Realizadas
          las pruebas en el escenario productivo de la Granja Agrícola Arrocera 
          “La Gabina” y procesado los datos obtenidos se arriban a los siguientes 
          resultados. En la <span class="tooltip"><a href="#f7">Figura 2</a></span>,
          se aprecian los resultados relacionados al tiempo de viraje del 
          agregado formado por la tractor marca YTO X 1204 y nivelador de suelo 
          Holmeca y las gradas Baldan de 52 y 40 discos.</p>
        <div id="f7" class="fig">
          <div class="zoom">
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              <image transform="matrix(0.8489 0 0 0.8489 0 0)" 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g2aoYpO1%20WMEsakEwIKeCwgAAEwVq0QQB14K2U/ylQ1k6ixDAirvcfcssaSeZW9IEasIrYOp0tRZ9lW7/Mhj8%20RwQ6LIFU0BOYuQ0qWPu74XxWgwIbyKoyznHedaRNGTKAATaaEQMJGLMWMRCyUMcBgJPIpYNQmtkF%20UYVAgqilxi9hcEkMlyqW7AQrtlJXseT1Zhz6RCX9iJzOSFAACVQUADJYgTdWAAAlj3MaqZhBAZoQ%20gygd4AJNmPF5mUcwXQYAngWYgTGFjIATYBSVKnzXAfk1mbrY7FFyqViympdmkdivcjo2Ca248jTb%20uVlwHIlZqWDd6gXE4xzVWAFBqw1UoGZ4GsrwhnPJ8WcGnIPPK5hGPDi7AAAoIwAswMYKOklMbJTU%20BVV09A1x0q+ViOxZ0YO1tsTNFX+FOSRj/4aq7aQqk/1VIG4aETfrdmIrDyVkHxWoRggYYAD/dXIG%20IWLQlV3grlmwUSAGcIELFDWLCfKDAtWQgJ5QaRoXpFAZJxiHC1jAH89sl2bjaRXR8EW06DiPJqIe%20Cc1t0i03q4tXOlta6TT2JJlpOnIVeBzMZgCDEDBqHdAJQQAeN0UARIAf+5DAPnISATzy4wAGKBOJ%20GBAAfkigObsigWEv0EOpf2kjdc8XrUjOFaltpFHSiddMOJpj/ZGkeerClL8upS7kDc5VjaLbPyQA%20JRD04wDjWEAExgTosRrgSedJlRTG4T2Ig6lUDAiBP0yzIIJBnpM9nIEUqpEyN2MNaZ2S2v/tV7KA%20m8C+aSRJOXhZHhPR9ANJqYpS2X5CMWUNrJnOS6BT9s+VxEmnAjAAAEc3fSshGjAAa9GTEI9Seytx%20AqnwVzAAN90ygT0Rf85DPjanNkORdiJBM03hEywTe6l2gLGXKuWnEFIwOrFHNZ3iEULTLKKxAbPA%20IZ7RFhQgBTqTE1lBcxeEENpSAd4QA1LQN7zSFhozK51yaVWjFvniMwPzfyf3EecmSK43EgmgPk9n%20EDcxJfznKRtRJgWBg3QTOVljK6ySLn1zAoaGKQYUGqXSMKpiOOpSLo2SI42WNgEwKyljMzXTLHso%20M6gHMgxTaiWhfrVjZmiHEHBYLqzDVBr/cwCn0ywM4IJdiC7TR0OR0w3s4m2icRWe8okCgX/acgB8%205xFSwyhlQzOlkjYlF3MI1EGcFRQciHLoZ3P+5zwkwjH9lyzCoxL8sABSsAEHAB0CYU4dNIQWWBPv%20h34S0Ewd5C4dRzTN9IvF4hGyZTb7Ej0b8C8JmDWx4i6GAzJvKBepRz8VwXr5A1sl8TimliqP4hWq%20ooL/sAEFEQEhgH662C3aMj3ehhCJ1zSpIi7yxyxMIx0qwScCATWlozAgsDoDwwDzUi1gAi/e1j9v%20VjcmYYhlFl4yoSww4A36pY8pqBXJk2qNsgAkEBznwCsrU4yeo2mptyzDKAVc52mPx3ec/9IoOkKC%20jhhK9ngq09MT10JCSpUQUXOFTnGNMzGLIBF3TUMBo4UNESB2AjMwjcIq88h9MwAAuWgrOfJX62Qr%20WcMT/iAF59ANC+ACmzIlNSQBnlgzpgZQTKR86MeF/XAjJ0BKpJgs43ACT8gSEEMCkTZGtUd351AB%20v7h/5kgRU/haRCMSJBIPEYWV41YTb1Yr/EFZJGA6BhQCvNc1/KCQpdJMfRkAtmaE/gBGEeASs/cP%20urMB+3I5O2gx4zBHGcIuUlBO4beQ+OQNrAYvHsF1cnF+IKGRlomIMUEQDVdP8RAAEbAOzeSZzhM/%20wOcRPVQB50ABB2B42mkAOPgPDFVBwv8CcZwTIsC4RwygCiQAAtjAIcsjBSHARgZQDfzQQ5xTEJF1%20DpYXAQkUIvygZAbgmfEjBfxBAREgAfZYAQJWAdD5DyRQDQFwWSAwAyyQe7KITtajdqnGEseGWgUQ%20ASfgDTjnAiRAk/hGAn55ALPgICywAJ9FQgBwDmACAi9GoZtJAjMIAgBwAjBgcOcBWRJgVVDpAhJA%20Sg23DvswDucwA4jJAM8UZSvwT3KmdHNUQQsQRqmwaHe0Abh2DvuwAtVgOqHkVRdwAgfgAlrkDWHK%20AgiQCkUqohSpoa2FY+n4mCHBDzdVUA40Cyqkor0xCw6kRTDAAiTKQzPgThAGADjpAsr/QAIGAAA4%20cgIsEADj0HS7NwtSEFTSNguTCAAPangH0GjdcEnzRgIIoAwN4g0pUQEkIEDroCnxg6MIsD2vWg0I%20QA4hQAIiehMB2FXhVKkSMA7eQHnYYFAHoIb8Z4XfdYgcGRdoRKK+RWG2WgssUADK4AJhdQInsE27%20Mw7cGlnKoF0MUE+VlQrj4FK8g1rjwAKQZgDDBWAuMA7CVAsnEKMXgACyugIZAQB8ZVHkgA28Mg5j%20FYRW5AK9ZQAC2wwbBl/DFaMnIAMAMA5d5QI4dVmNOh0XGlgksYoscQ7K8A6RNQvTMA0W1VeEVgtB%20RQ7e4FIWFQ8mVQuzgA1NIAPnkADd/4BI2DANkJVPR3VCEgdfLmBFt2pN9WRW8KRVJOBwK3BB/FRF%20CYcAwvJexwRktfBZQYUNqWBhBYBTQatVPiQzLuBXaiiy8XACFxBRVFamjsUC6bJB53hj6FaFI0FO%20s0VXiFStTbAC/DQLAAZcwuVrzUAO8cCoTYAA9xgPyXaqAOBSAYRstMVXMbteylCmK3BCfDtOMkCi%20t8ohLDANt6VMTXAOzTaywOay56AKszBfLhtWKbYOiFZpbTEDMOtoJOBVQctNCacM8eBLzISPHbis%20G8l+MNEoyrQpYmVQBFZQT6YK8akMqZBSn8RWqLtYBdUMjaIKD3UBztsMsyBOj8VW3v+UWyN2sgWA%20TxmWZC6QR5mVACCgV2OVCp67mSFgTHqVXDEwsgZQZ+RQAIG7TfHAVtorVgQmVvHAW9EmM4mosSGh%20L51oE9FVAeS1WwZADjNVAKflDSHArwigsN3ApvO0DjIWD80QDwmQnvh0ZbOaeKlrYDG1AouVCqqw%20DjIAaf8zTtW2AeuaWa6pDOuAtcOkCuNAAbMQreIbTHpbV2GLANhaUMd2Vu5SWQwwVin1nM2AVVdU%20C9VQANNQswckpz/TeuooEj7ml4sWWjkrA0YmXRTaDBvsTyAwUQXAAmWVYX7VD8EVD8uUCj+1AbXb%20XgI4UanQDDE6w0GoV2plHgbwTCf/kAAZVruZhQALFwJbNU8jXADeIMi51VIXwDsjFg//Y061G3XT%20MAsBJ4P32gwStXWPtV+LWRHGCULNChMFIbHdowzeVA3NoFUAUFnecK4uhrogwlIz9ry7rArsklvC%20lVxqFAHrtQKqMA109GSOlVa/tGHx0FbnsAFyTGCrg7KMukyzEAH+sK3/2lIltbWMlkYjfFQMpQqn%20Ra9B1U3n7LJ+hcBLiaENZhEoES/VkLkWDGOHlbnecAES4HC/lKV8tMGRVmQrwFC/OKvNoEsUywIs%20EAN8S8CMVsVKTA5Ghk8mJVYkIJn3mhoXEA9ne1Iu0CUW1lLl+2T3tFhgRVZrda8A/zBcM1AQAz0L%20VawMM/jOqmvLFOwC2tLKEtGY6SYSMNCmLCC43NtWMhBAYHUAgfu8CksCbTULuqUK+uZXCXACMKUM%20cfy8SQtd0uVNYZUKDgVRBRxpFyDIAXWqLMAPBGVgzcBSTCQB81QAYbsCLlZXMExXanVfkLxb4XKD%20ehxPbWpr5ADD2yNdzeBi/+S2FvHKthTLoca0nhsDJCAD/eTV9FoA6zBNuotPF/BZAFbSi1tcUwkA%20G/zUdWZdLttrK4DSQqYKznsC0aW7DeVijjVMN4JrJJuz8fA4FPvUMTBk3uS8bcXREhcPevtbgcs7%20SiZxJa24cgRqhYjPJJETT+EP+//gWJLlAk1ADmoIaeB0AMFVpg4HszuqDMDkDSBZaUKcW9tzrhm1%20y0o3Tm6q2TnbStskA96wy2kUttLFLnlqddvDFdjKawBwUedFR1gN30s2DSSADTC1DgDAIV9aUAIY%20SYGbXwWlCv+bCsNqEuh41CKxDhQcDxGAbKpgWOG6UCFgrUfWVvl1AnLFpw2ODdqHyzpdAJK62Lzm%20ArNwuio7C0AuTwWNWthAR/SUuhG9mRKQT2hbYkCUTb2UTRGtaxamb5dcRUtdpidwmBA2YqlgANhg%20a8owXHwtY2vF45ftQesnQjLBAEq2AdXg3mHqDSsZP/G5pDOwazsSAhjOHPxxAG3/Mb+BXmkSEA86%20x3zVUAENDlA6Eg+g8sxYHC4NfqwnUA0e0Q1H5UIRWxAzEKIZEgIKEtpRR0ma1x/mQYr4pil7FJ/r%20CgABYB4Zm04j0YQHsUSQGFzHJ5faSQHdAHydch6wUgEhcoPOKaVAAwJRR0KRRx3buEJhOgMJEAHa%20BQJZ1Qw79ykGoOyX9zoORHkKMl5S4CRDCDTDGAC3DpEBsEqqYgCc0w2xxwDjUA2rwyGmeY9DRHk7%20EgDV6MWuheIg0SilHgERME/3SOgREH2u2YzSHgKLQ+/9sI0jIkXFPg7sgkcMgCTsIkE8wS4W9LA0%20GwAwQKHegR5wZx68IgHH1zYz/7ABiyJ4kBcCUuAl367tZbIju3KPT9MgXlZ5CQB0V4FHzhl1nZjd%20cs6swnvZ2lIQEoANsMMziCkZPYh6FGkwRxOatei7ARADqeACoZOQ9VIzqtZuCAGPobF/3E17+6iI%201JLrGZqR9ncV/oCinMWIiigFV9kqFAAxWL9/uactZYI6/IJXtUZINwGMC5E4CZmCHhKUB2GMvHKV%20IogTZeIP+AdqTSWFN9ZRcotyUhMCK9lCLFGGgeMveBeCKaM0MYQ0UuIRvOI3nQIDtKab3cUVGbEs%20PBOFa5+QtaJ3qcYurBIqN5gQLyPZrgy8x2nZJhE9JNKJjIND4KNpFLgRJcwVUP9CNYCpEqES9fOI%20kbW4I/hnjUjDEglUEPCWOj5xQE/RPL7YPIPzKHRH9/lsEeW2gFEBEBT+/WPwT6DAf1IGDqRQYSAM%20hf8cSvwHQ6LAiQkG9uNnsOLABAEEMjiw0GCCBQkFJuAHgx8/f/02+htIc2DGlP0WWPyn0WfPBBoD%209HPY0eTCCiyD0pR51OnTozJlBpix7wADmUaNQuX6lAHKgVL8UdC40B8Mm0+1guSXQGbKlSZt8uyI%20UMoBjUk3/AuwYCLafyAoWESYMqhDh0Q19iP7r2nZmv9oUsBoE3KCpP5e9vMHuetnkJL/zYjglGYC%20ChIKgmYNtfDWxT0dD2xbE6H/7I3/1lqEkRVkSoNFGTotixr3ZJ6eHZbd2vO2ydgL+8lUSFbj89bZ%20ZZM8UFo7V5hHA0gGjPmmyX5Smjp+abICBX4OD16viXpB2fXYiQ4E/s8Ai7ia2qqCjiaqyCjI2tLs%20H8N0a0g6jyqgKaLnpPLsOwinmgGEA9TTjTYM1XpouIkQEqgflhxLcSwKZEKtRP5kQ80mmwriR6bT%20FjrghHFCoEg2mmrbaDmzRONoIaMWsKmx3CqYyEnHVjPOpLYMDBE60UgzzTnVrmyNAZ4G2gCh1Zpj%20Ujd/JuIHoeWwWyCl9/jyiMHZDGJAoDURGq8nhSaS6iDZmkNvIbdC+6mnjo6c/xM7L5/SiDvvGv3w%20qeke4smm9yCDgTnaFmhROs8WbG6Bt0gAYJ1/xgEghAjOWSeAaly4ioRUEDhhnRMMK3HTGHMM8zkP%205wxOo/uEjchJygqVNEO+qrrKt0klDXKh1fzqCTAkjYLBQM/iiyyhjYwSKAAXTjDAmwpCAEACCmht%20xoVxqmGBhABOOGccGFxgAYQ9+0u0TonSgszEBCKqSMmeYropr6TWW5bQLCMtErUuHxaR12AtmmxE%203ARq0KLiKDoIJoTCZEwiFwUty6LEkDTorfPkmzNNy0CiKc2Om6qAswjTsvioRw/o7mH8JKwJRjoP%20QiiB5BjiFCgURV5tIrEoSv9gBmVkqMWFZpTBJp4mCpjhHHIKYOGCaVI5QZULSAC1KZosgjnGlbz9%20cbqyFJasrtn6I/TCK6VqlkMP11o26n/2Qjnv3EjtyUACjU5gY9H6i3OhBViYZhpyZDinABlUOQeB%20aRCIJx5vUrlgnVrSrmaWac45CamWnarUxZgIxC2iHNWUyUDONAP8So1o0vKo01IryMWyGDUvgJ1B%20YvRn6q/0w48lIOBBBSREaWCAIZDhQ4dePDB/kX922OGfRXh44n0ePEBfOyecWN/89/OPX34Mgx66%20egB6CQYhWB020FaAVGBDBs34zwUugABveEN08ZjGCf4WQAyCRnBUsQpWJiX/qAyGcCAAQEABChCD%20ZoSuFuRYwTliUABVnAAb5ADABbxRixPMomz+4KHDRPjD4o1GYpGhWEGeRKCOGIcBLgDAAQwQjxkY%20JExBoWIVrXhFLGZRi1vkYhep6Ac4ZE8aKhAFNF7wgj5ogg98kIYH7GCHeyRgFatIwD0ecUcLPAKO%20XqyiF7xAxzc+Io951CMP1KBF6WimPf4b4g8daZIIsFAVqlBGM9bBAhlMIwYxuEAzmoGNApCjGZSc%20xQwCEKpHhnCDG+oQtECYyup5IwbYoGUBHrgCABQAAaoAJQJW+DkW1GIFCFBGAfYRJliGMIjHkwuX%20VtMUAUmPhCuoRS2qMRxh/yXzh2pQghMysIhHDAMFLFgANJzxiCdk4JuLUF/97LcI8/GvfhhaRD3t%20Ob92zvMz7QkNpLSZSgrsYxpaIwE2KsgCBKRiFvGoRTMQqowYxOMCtfAGCWZgpX8CcJUddGVGqxcA%20b8wCACN1wQrI4YJ1pEIGBVhoMxJaUhLEAAC1ioG5pFABv3mUaBHbUhH5I5MIGKAaQ7PIBmbBRIcC%20RwogYEBTnfpUqEZVqlOlalWtelWn8qIOwsCHHOghCi0wg4AAOMMZIGAOXjDgHe8QRlvfwQBexLWp%20bcUqVNMaV7w2da1tFcZU9xEABgRgA30hkj91KkIJXOAcPgqABKAngQNQIP8AB+jGP7oxjsFKgF8H%20GIpuhnfYwM2GKoTrKGgfxgAQSIEBUgiKAcYzg3GslgIMiEBVSnNKyobAlKal3jIbmbyKDaQb8SAH%20OWrBAolIYW0kOEAtZnEAmITgKhugbnWte13sZle72+Vud727gX38oAWcQAMEcmHcTmjBE51YgDEc%20AAHqqkMdeFgDHtRx3fqu4bvVrUN/qyvf/NJXwNr9a2AHay1G8jaAFdhRRHLCILggZlEVuQ1LKqXg%200GqIox/EcKMKNSPnsGdmnWEYmxiCzA5/x7c9VV5FaBIAA6zDAPEayAxq0bYTqG08CdgACDCaYi+V%204Qk8sIQTjCGOapxhBIn/aEEPMqAABdSzH97MQP3WN5AdUFk7PIjfIvqR5fqpU8zqBA0/tyO0RgJ5%20WTw5k8hYxhCfSWd6aubKKknLYToHLkgaqc3kQGggpuS5fzxFnjORsoAZeAOXrK3ICUgghWq8aiEQ%20+bGgs3PHRSjACVDOQAPa0IU5LCEDYoDA+cBsP/bV8x9azs750kdldaIanh74DGdekkSCoNnSjerL%20RqCJEn9EpF8OjjNudl1n0TrLg4Y7NldOZJTfOYZnuWmRsgzCD/XMudlAI3QzfXoWmUhAGU1IBWfK%20cjnJxK0vPGR3u939bnjHW97zpne92f2IFizCCfjIAATQEYk+bOMXsOYy/zCovAon+GPW/siAFzJg%20b3Zz2QP+cMIqxpyBVSjcfPHmSoK3rR3JlawzSKGISM4zbTN/nFLJvjOzVf6UiaQFOB47j96MrREU%20vzw0xvutoT/yj32oAgGyk0zMQTQdCmyg2Dp3ihJa4AUFwGAHrOjDBz4wiBd0ARiW4PITPPCm9eHC%20A1zusvowpD607yAB+Ri7BdzOB0V96rNnHlpdTqQQnJ8oKDLCJtP9fqW0bGBDM1gNfNxDm7IAxyG8%20Ys/Sq1ccuSduIePR9t+X1bKOzMBHhfbpRzZAAhJ0QwLVAA67j84YpVseKkpQwhKQsYN+uKAQVv8A%20Fp4BjLE/QhqP+PIONP9OdvmZ/TtpR/s/xl4Gt1ugTpOLFnFyPTSb+A2nA2FANRQi3QAsSfXbt910%20vD+dtIx2Qw670aAS1w8YSGAGbJZMUGDi+IfRZAMAOMEGXDCL8VRDFd6QG/ertx6NYKaJaTGPmIEV%20SAUUYgEpkbYPQbrU87+F8IMWgAAFUANeeINCSIIkqL1yECQd4AH0ObUEGDv3MR8MsTKzg6f44QE7%20YMFH4AGAsTlHeb7SGIymEKy0oAAWKAAAIAEEcAGag0AhfIrAGzzF8b60mL5/CIF4UBWxyRFtCgFO%204poYooBqiIFaYJchBKAA7DmfooCYgIEZKCkW6IYCGZIGRD34+zvWyx7/XlCDcWgCDby6N+AEt5MG%20NeCHeqiy+3EfiTtB+0lBD8AFHpCGFixEGASKb4EKj0uKBTiBZkggAwiL+asFW4oHhWAtnaAMTuxE%20T/xEUAxFURxFUixFUzxFVExFVXQSVmTF8Bu8mVsPK6mAc5iGWdClSQQXsqiSw1BFVCyIBeiGT5oh%20bABDA1CFaiAMX1xGZmxGZ+RECckRzWOx4FoUnkiK0EjDpFtDv7uHTMsAC0iEGNiFQogCLHiBWXCH%20TniCHVAnKBO1DLgf/hG+1ii+eDJBqFMACNAACLANEOk4GjQJCQCAr8EGb6ARFujBEzCbgaCKHgMB%20iIxIiZxIiqxIi7xI/4zMSI3cSI7sSI/sSO0qQhAgPB4qC8GbAcVZAAmYBWU4lXiIgYKAARAIgQ1g%20APCiro/0SMGqhnFIIFUIGwYwAARYgW4IgADISaRMSqVcSomUgsaQiWnkvBbbj384gDEJAetgCIRI%20FDXcwkVYBgXIgETQAneIhTMaAAeIAwDYAlEwhyVoACoAgF+AMnkMwSurR7O7R1rzJg1AByqggij6%20kUqDGH9qCKaJgHFYBxIYE8nwBgQAgAgAgGbwBmJBybq6TMzMTM3cTM7szKt6E9AEzVccyQDYin2Q%20JXJQBRKgCQlIhSZYAW8ogGYoCB4Lgb4ILCmQAsDyTKqigAUwAJdam//9k6CWDIEFiADeTE7lXM6o%20csrYiEpvI8CVAB1lSIWvoJ3T28YtDAUneIJO2IJNsAAP6IX64QZusIQ7IARi+IRdaIIo2IYGCMtA%20zDIy+w4VlLhwgDIIwAEsiIIoiIfS0D6ANKy9CwGVUoXLuaEViCkXiIDoUa0t3EKRnAGD8YcQcKFz%20cAESWI0QYIETcIF4cJuaOCURaz7qAQ4DkIAKMADOOoF5kYB9iNCHicYPEUAiarHlkAIXSAVVGIdz%20mwltfEAhrJ9NAE8RsIAhw4V6ALMnMAIqIMdCKIRp+AT5RDtW04777DKoc4AX8M8oUAa3uZmcwxJ/%20Sg4SIAdbVEYKqIr/wJAbzeg1GWU6eZs8WESRlYiAA5gFSUs3i5CC0viLDTA6gAkgm5AJCogIGAiG%20QY3TRnGIEAABaiyIeLOSlfjRAfoHCIAATBCDVeiBB4ADPhCBR9gBKNMBHcAADLgjDLA4L3A7YFgF%20BViCVBUBEaBAYNABOqCDVVMnt/sjVA2DhSC+MAgDDOiBHoADOCiDMngAZFiFJXgCC4AyB8ABWqCG%20dJiCLTAAObCBdLiyYf3WMPCFVNBADcSCOsjVJ1CAaR2CSWgBD1ACYMAAbXBH+VyEJzDVB8gDt/Om%20PMiDMvgBdR2ED9DAKKACTus3cPQ6bVgCBUBSuvMOMBwNF60GD7oJ/yspCzBZhHCoJ2C4nh5YhHuQ%20g69cBFToAdDyAR/QA2/ihir7hx5gAiZQn7DUDtY7nymrskCcjnoiPm/9VlRFVQzaqAN4Ez85ADSN%20hzfRjZZZGdTIvjp5JXpipx0w1h7APSTNIzuAAz9AJyTlgWVwR18FBh5wOwwyVR7AgDyYAyaYgznA%20gEXgurPFANBKkKrcvOjsEo4rCAoQqQ2ohiZSWgroBgrIVBvAhFWYgwdQglC1A0woVR2Yg1Uog0dY%201YZzOzXwguzRgzKg1UxVA1ylg3t4sgwwVT/SA9PlB0xIXdXFBH4wXT1gAjDigxYoBSawOGjtNxzo%20g2kopikYhwlAO/8xSN3WdV096IBtGNhynQUkGIFG2M8+iIJCAIAWUAM1AIZ5zUcF8AIPsABT7Ve3%20a9w86IIWKANucAAsQN6ChQDRDcs8mjj2LYOHdTF+OAAmOgdH01togxi+gIF76AeNDYceuJ58uAeF%20E1k/UIOTLQU9aEcx0LQweNmY9SYFoFk7sFlvQkGdldq0Gwhw/Vm5DSA765CbSAmjbUlscsp+iIDn%202IedcQtv+T4YjmEZBj99c4IemIMeUIPtdTs90lohE4QhC10o8yMMEFu3m2EkTmIYFgEdeAJtALW0%20bdu3dR9tmAMlvmIsxmKIgc4B7JIZNgr7qwVVsCUAgJPZggFp4F7/PoADJugCZECGUbMBCszUJZgD%20y0U4J9ABC7ADzF0CPZJjOu4CQwAGKAvL4F0CL3DdoFjd1JWjYNCDObgHNkCnelqGONBjO/iF89VA%20ZbiGLMME9QneBAiGBHDdYFgEdChHc7yEEUABFBAFYjjfgU2j7LXXO3qEOPIjXWZbJA1dmB0fboCA%20LvXPPmgGUVCBOwSGePWjOtYBPojfSRudWkCAcUgJ2NDfvhADJ/iHMAAGkwU/TOgHYy1i0NoBTCjW%20B2CCdMaAb31ZlNWOeNpZ9UFVqsU9D+BZDgZXYv1gjUo2q9iA/IgAR5M0i2BCAzgHVVgHmfgKp4Wb%20h1G1fQZWe8qy/zZAh0mggQGYhF/QgzCwp28dCBMMoGE1wWHFgCEDQVTlxkcSnC6MVGmL4eqgjGni%20wcqigAiQgBCoAxEghWGgBkBAhl+IBTx4BXtwAKNuAAeIBRX4gW6IBXNYAxVQgTqIBQdYg/4yBzww%20aiFYg3IIgPrCAzywB3tYgzXohlPohn0AAbFe64g06264Ano4g2EggWNIhmQ4Ax14hEnY5CSQgVzA%20B3uABVgIAXiQyLM+a3A4gBfAAiyAgl/gA1IYgU2IBr5uAipoAHMIgDr4Aak+BhB4arIObRUwgmO4%20gg7oAFJIBDbQhcXGghKgglzYAi0QhUTwAHlghnH4BWFYgxAYH/9o7o2eMLlZRCaTlAInEANuxgBU%202Jl+wIR0AGBD6IExTaZ59tR0ZgJ2HlZ39gF4Ph8NpmdjtWd85mZ9BloQZrmhHbmqBNFzwIYTmIhz%20uIBZGKYVOIhgJAuyeI/4aEX+7m//rgA5kAMnmQNDCIZwiAORzQBk0IRtIAACYIRMmARhOOV8wIVw%20MARDCAcxsAQB/28P//BWHAw2sAR+CAZtCAZLeAI2WIY50AaMAHEYj3EQh4+OyDwvnEoZZhDKOIF4%20uD9VWAEfgQE8BQFfSIEqKAQsGIAG0AANmAAjaAQjEIR5CAEH0IAziOpjmIcAiOo62Aew7i+tqoNT%20OO1YEIY6OAb/I0CDeZiH/joFNwevNY9z6zoFEIAALmXsF9AAPkiEEUACLZg9DZwGb3iFV9BNWJAC%206tqHfXBzN7+CK6iDEaCGM+CFS7YAOdCFqiNYUNAAPDgGTuByMQ/tqiZrIyh1NOgvUrAAIPgDUHCA%20GngGI3gC7tECLRgGTD9HHHCAMTiDR4BmyRiMGGGMjsCZSinusOyBSiADQPCmUMgA6/YBevQodWJd%20mGUCk10ITzUBE8BSeX7gak9nPwhgNdjgo9BnYD1vDRNhcFkACUqFFRgHxzgA1WmGcwCAGNgHmZAu%20fvmrHhOs/SKwLmf0fdiAtcYDTxuAbYACRVCEEqCBNqiEzb5y//8Cazz4d4vfgCJog1J/ByEQgkNo%20BBEwAhBogzagh2O4eJT/rjtpGRsVjc5zjSWcqHWgpnMAGZRIAB8gAi8lABxwuA13H/EkVQU46Xve%20gRL8B3XiMj1SAz9Y21ADPvXR4Y9OH3LP5/0cBP/EAlBgASRw5TcgAOTdBVfwB+LLZ5/d1DxSVj/o%20BS5bBDzoUg3sAxyAsjgAeq8LgznSZYeTODcSpDNwhymAMpQd2/chBbD6AlV+AQfogTKwg/h1HB2c%20pTLuO/fDjQCQAhtQAFQIBGeohFUQA3ViBmowAx9whXkALZZdn2r3A5PI9m3PjonegQf2VJh9gOuh%203qpfCHMPWv/0ZgC+mTyj8IcZSCET4iVPSQA8XS3lv83klKumsutXmAB8YPJReAGFFwAocPhSaIGy%20OoMW4IV3wIfpZ06oaoNDEIR2qIZn0IQUuINGEIQNaAMhQAM0IP/OfMrRsNsuXo2nAIgA//5tOMEC%20RAQWDAb6gxEBRptISSYOomVBh44MGerN+FYJAgQeTyxY+LfDiZMdizyw9CCCj5BfDbr4sfPkiUaN%20duyE2eHT50CgAwcuYlVg4sQ+KJCMEITpzq5CfdZJ2YFpwY5//gaG6epVgQIdLy14AQth5bMvUqOd%20C9UvXb+TGletwtBjZ84Mi3iQbISC2AQn9vjwWQRBgQY1Pbz/FfrgeJAmLxgw/Evwj8GBAxEGVkgQ%20QVUTGbMoDOTXr3KF1JUHBligIIMtWZJMOcmgINQlaESoNcs19Dfw4MKHEw+OSa4NbhlS7ujqE2Xx%204Ch99ujBhEn1MP8WcV8U/Z9X7d/HBz99OsCMfQcowNCawOFWGAkWDKy2wsCsAuMGJui3wTI///Rj%20GXnFdTVZGCuJ5EE/q3gxCgFQKFICFDQcwoQaPDzyCA+LYLCKRgWK+E8XeRjRCSOMKAIFEpRY8MQh%20iLA0Io3jVdDPVgHOsBlwWyVAgQQLFddeZf2d9g9pC4TwzzN9IPXBLsM0cgYmGUiADTQxaBDSSBYs%20clJKK7Uk/wIpb0QSCTqAPHJTXjv19FNWJsX5WyVfIJXEC5yIIIIFmChgDA6QOHHcT6uBF14YYGFk%20AR/1KAASd36YMcoouhByTQb9XJUTXZPZoURee5EkijsciDEoYR5AYNsiwDD2wSCO4eCFNtqshplm%20/A0UQTUzyIfjP/wEsBAFFRjaWgY2mJJDDjeAk8EECphBxBeXTANKjdkSFxc3V3AwgXI+OQemiNPt%20UN112W3X3XfhaRudef+gB8IBC5B2YwUuXFBADAv1Qx+S/yxJXwIJ/LeaPwS++89kCIrJEibIdDHK%20CyquOIAJTHgg0hMeABMGiKssTFweJopDQAkTbkGJDjAisv/IPSPLPJSxM4AQnI9ACiligP30Q8EG%20/rQAjWMfYIEC0igMgMMLRb+ggBw6XLTDEiAp4MRNPHDjBy1JfJAEFuMs8qjVGeiBgROrwLkDaXEQ%20tUgy/ZCiRRSxfkALBtxZjclNwyHaVT9LKGDXTiDa1g9f0iihhB3XbDEMD5YsglIGdAFjRxlrGqYA%20Ml48IQ4hroClwD8X9WO1F6toUojdWGiCgRrS3JoZj8IZOxAJqgCwTzwA0FcBDDAsgAETR7gRhCRj%20JJsBGZlQE0E02M5cIAVH/lPBA4AAwk48B1wfFJghFohSP9alK0c/YthQWyjNhVHsQAAL5zP99Ivo%20D/754x//L3rqMZBAgP4BgnhM4wLeENJ7fnMaIQUgQFsZkMzosgp/5M0DXbKAB3owhEwQoINEmASI%20QoGStNmlB37ww/SAcxM2uEAALhRAPNpBkkN0YRneSWGNFLaVHeGsMjqjUc9+FjQlIMFuL6AEJTqB%20BCq8IApF64MrLKiDMyTKAQ5QwA44gcF+sCMGRbubGpzwKAesCgPFgFM9fgIXMbyiO4sgBQqw4JgX%20PKM7VsPaE/z2t0RBoAeXswMGNKIAxJGEJE9gwya28AMPHGMH+PACSi5XBj6wQQ4KcAAyMtCJLdwh%20FNwASz9IsoPDQCB1a/jEYwYAgVUowQOzyxVxtrKAargA/wEIKEAzWFC9ny1gDuU4QhCC4AYz2CAD%20VyCCMgJRiilMAYfRIY0/fEYBy7whBtDAxiwMQBrwUS4D5XJC+ZjwACZQBhMjRAkm3teV/wXMmdsS%20kLxsdgAEVqYbEoiAsbbyD4dc5gBSIBIINnCj/vAjn/o7KEIT6o/UpW4Ve3mC1DBohi8MYRKjoEEm%20PtGDDJxqLnOwzgkVKtKRHlQQFhAECUrwwm2wzAKHMMEr7kHSmdJ0pr+xDA975MMgAVFAQvTHIjiB%20A2IQwxWGFIMxmva1JBRiChKIqAIG8AIsDGAJJPGAK4bgpIlEwR1PQEMoXqMDwiihNimhi09II4eV%20hMID9/8QxSaoQIgVSEBzKFlFDx7gAx/ssa8k6sJHlVDIm3gATPhbDjzc4Y4zGNIDi6BAGhPEA2Dg%20AAsvqAI2roEJPylgCcy53nIM8SEHUGEbVHDAPcSig1fWDmcBZAB+VHGOGKxjIDCYwQHKEQhJuOEI%20OaDFDGzginhAwxmwyEUuQKDc5TK3uc59LnSZy4AASGEfN+vGCvTxhS/sIQhHsIItOmCPK1zBHqcg%20Axmi69x9mMO85egAGU5hjwlw4AoTgAUe1rCOMRxgDIboBggWsNx9WNceILAHgROcYPU6dwMOfrCD%20+ZceWPYnOBUQ8AlqMYP8hOB2FdjZQKz3LrPWBQMbK+T/I5AADTKYAA4tcEcMLFEb22TACx/tAePc%20+Q+MPGISKnXhNkLwojnk4XY6zuE/cvqbnPF0REEEmj9YAgF8rMqQ/VBAZZfaB0IoFgnDQEcfPhCF%20QoAiEZ2YRTRWsNUkdDUR9xhbWHRQBjssZxXMSUBW0sEdOcjBA467AyYggIwdPMEOk0tbXvfa1752%20AbB3eUREn/Al8vWDVWhAgTsK6Vh/YMIfweiFINqBhSiMGQAaEeNrMrDZyqAkH2fzAgTIqABIY4S1%20xGmPQA6AAACcowCqIAFrDhCCDtzgCDeQxB4uMYNXiKEDrDhFOa4AgVcEoNrWvja2s63tbVubAdMF%20AQUG/yiDN5jCCsDkQhAQUYlXTGACrxiDLWzBbW2/4t2VuPcpXhEK8uLjCngwwCeYsYAxhGABC4jA%20Pq5d73p7u+ENnzfErS1hejXwe8EC3u0SwIATkMMFqqiFAQZCGnD/KAEVoAA/CqbylbO85Su3jRds%20HAw7QPoiOtDCJUrhgzIogQWpaMcnwbKEJQAWDkooQzBcrvSlu1wEOrjDF34sAEZEwALSyEMXMFEk%20pnO9616/kY+S3FqG7BTE5Hly0A7zZmAAw7NssIQ/TknqKEwhM0ggVVS8FoU+iEIUANBFLEAx6ijs%20Agko6ATLnG6BLmhjOU7wgs+CoR09L4MljoMEBPxhCf8e8CAcixjJIyzghwfofNF7tJwFn8ADD6iB%207SaxzWv+IQd/tCMG3hADOFKtAG7cox/3mMUXP2EDD1giGCUEy+dFkoB6TGaw0rCg7CyDq7HfVF79%20YIEyAFANVXRvKxQIAAUWsQz0UqO4i+AG/cKQD58dWTjbrEw8lEGCMPih2N4Ngi16MOMdMMEEJhCR%20zwCDGpwQd1TJazDBIbiBJIxDV4xBMXSFsayNULxL/VQgPPXPeogccIhYCADACrDACsQDfSwAboFA%20AJjgBqAghK0gC7bgPKCBEbzCBnSAOnTAKQRAHaDBMFjDMPDCBoTAMiTCH4gDG9hDAKzBGgjBGpzC%20BuT/YAs+IRQ+YRyAgCooQxVcISNkwjjAwAnGAhrQQxSGoRiOoYNJwTTB0wwsiU79SJPxjE9B2WF4%20AC6oQRj4gxOwxCJkQAO8QIU0QAbwwCQlAgE40SDsXSecwTIchxdI1QtAAid0ghagwAjsSScMATrg%20A0osgWkkQBiEw3ZU3h1sQS6ARChsHg8swOeNRBmMns5hgOkhih7oATCk3uq1HjC8Hlg4wXawxDDo%20hy6AwiUuxz3EAT38wRdFgjm41dn0ACqAxT1wjEk0XxmQxOr1jfTRTnGcRgKEQDUcQD/YzG94Gyc+%20wAPYAjQEwiJoCgx4omVgQgW+IzzGozxWYAJUw4Wt/wACnAPDPAMR5EBvzUZZnVoP+N88viP+AIMJ%20+cEsFtMBkgGzvIE3jIErSp5PFaRFwqNCTdw8LdlQ9ENn8AMD+NwsnEAMqIIUIAnFSQF1TZcUOJxL%20viRMelu7wQMD+IIQ+AI78EIcsIE41AInvMIyyIMlJMMWxFi9CYMQJCVOckIyMEBLxiRURqW33YMB%20XIAzCEERZGUmAAA7wAA7sAMbHMNTSiVZlmVUnuFppGEPsaHZjQfa+cMO9MOGpMsqXERYPQodCIJG%20SEMLKAEqUMFSfcA2MFYG4IMlpNYZcEKlKcAEiMMWiAMVYMFEnAA4YMISrEI/SJ5lcAc9EAIh3EM6%20+P/Dp8zBHHTBKmCEB2QASHBewzSM6Z2YpJENBCwBjk2jSUxRbELAAETF3qEDBBxDJ5DKLUzE12wD%20N5BEGSQnHIzODojE6ISF0z0BSByGrcVSkSCJZZwGyslLAIQCJsgBJiyDO2CDFHQHJrTK6LVfcDDA%20CqyDvrAAUbgCC7DAmW3BAYDJdGCAiH0Hd7CeGqiBY5mTEzABGLhBNrTCClwANoxBGHQl+KyNjkmY%20ekSAwgCPwgzEBnjcOngDNpyAAxEEgLhHRV5kPFLjIvQAkeXBHGQAPESDONAYWGTACagCL6iBEoze%20daANpZEoj/ZDG2xDJsAARjjdLGRCB+RBGGzME/T/KJPyKMoFCE5RH5O15Xe85Q6kQ+YwwUdhgNT4%20g1lgRAbMw00kZ2VNBFXxyXJ4gDTwQcvEAVjYgCVQgjsUghMlQSpAwg5kQDRRAGVsxyu4AyFYgiX0%20Qxg8QhkA1hycpg6k5mGwZmu64qIpqZfIJm0eXUnswEVImuA4wJiN2S4QwxYsRTvgwCAgBTpkAHIe%203XK+hhNoyHPSwaLIZnW6n8VZhpFZhj8EAAxsFjd8Zy6kAhosQ++tHSDAQZMeK/0cgAvEQC24gMiJ%20gTuepAQgwAl0047y6CJgAuv5AYCmowjlQQ7swYGiQzyQQwGcQhjoQTTBIz+0q7u2a48Oh0ZWT8H8%20/4axnNz1tMZlzAA89YNKfqihLIyJoigT5IGduQI5cMCqdBZYHEAtDMON4ig5jZCOtUEaoMMiOJ1Y%20VEMt/AITBMM9CAIPqGeBnEbN3Mwa/tBw4M8/LIA/BIjLCkRlLAB1AVEAIYMxNEM0eMM8aIWxbIga%20yEk64gIwYMAA1CmsgMKe0AEdqIEGDMAANMAsuEMdiA/JFgcPSIODzAEyoEMUPMknfAMpiEA/GAIJ%20QIMqUEP1jAiwhBiU9hMsCQeRtCzNzC13BtAOpUJtIYnJaoWIpMubCMUJJSQwrNVepc4cmEA2ZAMX%20uIEvYEA+eMc20Qc2xMA+EUg0jcgJrZ4HKIHOwf8BBijANShDJuTAEbyBM1zDH2CDPMgDMKiPP8QB%20OYKnE7TPP3jDDDBBFlRHn/5EVwTHgTRMdUjoPJ1GAAVQsOiTVrztULwDGtwDyJDmHGCAP9wDS3TM%20QBQSD/QAXUBAA0ACJOhCNVQDIDABRhBdF/jAOK2CAjjmGehAo/ntPhSAC1wocHAeHj5oeLAdXezF%20goSBXXiAHXCeNADDOdRCe8CPfMhWewCQkY1HawJwT7yNG9XKSGCEGMUcEyjBmqCEwgSIsK2lyg6H%20zEaAAdzWCvDre/CDy9bU/gAHP7TkBriNVlQP0B5adwDDHGQZVxHDJowAKdDBD3xCIRRCJLzBNzz/%20Ali4MBM3sYY4CNZNwtd6DRY0gBg4XWk4GN66cEe+bL1eY9wOx71ej626hz9IwQIcyWnMrwtsxY2s%20xn5GB+DCiTuekB/gGDAswivolYN0QQo0rhu4ATJggCHkw/UECGm4QAH8hz71jIhsbi3q3AMUAwf8%20QTScwA3cQA1QwwS4wh+4AzNighgsgxyQIzxMjg3YwAysgDNkAXZMhv6Kx28E72QM7wXKkxQYb2n4%20lD75AwhIAEhWgz9UQEP8gz1Ar42VJgaoBEscZvpITaFlAUNRgSrsQjRgQzyYwQOIhQI0mgmsrwJs%20gSg4Xfza1gqswEkqlOpxLv6kjRNQENv9Z6Iq/2nH+EMPVFDWPoE8FMAK9EPKAQgFrAA2bABnaIUL%20S5AEUS/+9GdLDF3ogWlnLcEGr4kYZMpQ4JQaciRbFoexwEA8IAAJFMAFSAB2VkCHMfEb+3N5/Mg0%207YQe5ESUPQHP/cIgOsYugAISaIE7nMMLlKqYvcAYLEIveEATFzVNWW+NoYIfaMIuzN0LaMAiSIMF%20dMZNETMXD0W7XjTcUh9w3KquJIy/woD1/AwAxMBJsp/9jofPVEd1+AQ3/IM46Z9yvJnuZsASgMIt%20AJMb5AC/ckeR6FM1NAOwaXVaF8cJudWbnZDuTkEq0AMGIAIiJAMacMcb3MIbPAAmhEJgnIIfMP9B%20MRhANOgGs5iCD/SAXICTuuhReBAvA+hysAAHBcwAAFwACwBAKrBAA/9DG+0AQquEmDAMaT6KHHQJ%20INhCFUCBhEABAbQBqlqAAthYD/xnBpjDH9yB1NCK9ZxAAYRAHA9ES/i1nMRJq7AEAHMFAE/GLDpW%20HGCABNSC92RcsIxDKniPxRUIgriiK4q3Gy1CzA2wSGhEzP3nAGtEvESpCLehhZ2GFMRDLUiAba/D%20Nm1ANQSAglW4he9DNzgYQkRAQEUAgHH4sDBAHdTBKagDHuCBPYy4CpzCGgzAqGEBDnCAEZhZPMgR%20rOzdAfTCMdTBhfe4j/84kCfYMRzDGjTADwD/AisMwSBgAVU5AC/8ACcEQAREgINNOYUHeYIhXACk%204AZIgbGAMVdzxpEUjD49sLdl7sv+AwkgAL/Ck/KWbPmwtU+IAVw/gGnP9SIUAyrgAyHIQCYYzxEQ%20AVVwB/vdjhQUwCwEiKIH7HgctmPdAxOMXjWQQy5kAAYQpE/4wwNcggwEwj3cQS7YACr0QCUUQC00%20QwEQwQ3Iwg2YgGnXBrTyLnH8jUbm8mu/NvJWxjpwXzwUADaYhtjFQT0gA9EhQz3EwTJUEgWowy/8%20gjFAAj1YgAh0Qgx8AQEoAraniAOsAUYIWhcUQy+UQQacwx/QA0YIATL8U3sYQC2QAHsED7wH/08v%20xIE0xEEvgAMMgIO+y3sv9DsMIEPwLAAMZMHAS0E+xIEdrPcspAIMsDAMUIAUDDMD1MIJUIA/MMC7%20x7vGazzAAzzBCzwMxIHIj/wyIIMGlAFfSgMyQIAGIEMvtEALSIOgpUNW64iUll1xJIC0qsI4HEAq%20xMOSJAC9MAAZOth0DUu1abi3bfm3nUKJ5xcevKAKnMEZ8EEWPMMAaMIVvcgqOIBSsVkfMAMvUH3R%20l73Zz4M5mMMa1AHMqwA6aMIvOIA88AIe4EO3Hf2WF72Wc7mXz2oPVQb7vW3mThc/+AhOIcA6uDaN%20bNaJdnZ456hqKoAleMwMRMMfEIMxpIDmp/8APQjrPXjYawNAAQgE8ub6d/gBHGSrGKAfBphBDBRA%20AhcDEzgBN/BuMVyCMrxBIFzCKezAOtQCArhAANhCDghTus2+RkArOX4HnLC2ayMvviaZCzTDOWMD%20A7THDEiAOexDLKjDPEQADKLBMagDK0zCNqgIFGyDKjiCJ9SCtb9QCTDCL4DAiJ+4PagA/uNDM2DD%20DABEizrGhIHY1w3GgVouGIBw+PBht24gJsYCYdHhMY0bY3Xo0KZDt430NiBjdQsAjAgBQhgEEWBB%20swIRNoCIABFnzouxeOoEceynPXPmutUp16HBGjzmVKgwuqYBAwoV/vX7NyPCP61b/f1LQEH/AoOt%20Y8dS6LdhxYl1zWaJXSBlAQWyc+f2szrWar8EFRJ8BQYMQwbBOzxYeFKmDIY5S7QpyHCG0yIIOAYl%20GRTlhTBcT57Q9fwZdOitOzAJVoNYCSpt9eqpWZRBAdV//PhpTSDaM+2ttxkcOJD1cwJ+sv/5YxDA%20X19+DBbU5pegn78FBVL+I457LCZMi3r4YfJvR3gmTDAouMLBnwcDtf5AUqDAhwkfPvot8uBBrlfr%20/ww0q1Y8L+y28gOOezDhRox+MHjjllOAuW08bpwopoceMOgBmy9qCMSZeC5Q5RmtbpDEDTeOsEIJ%20wQTD5IEHRAsvvAADmAGEA6SwqrbZxvoq/wQXaomhgFoA6EYrGGZgjp234GGDDUuSWUCISTIhAAoo%20CEgFhRF0MIEGAbxUhBFd/pGHF3zwSYaTNI35gwR1ymgBjyUYkCKACjaIYYUApNiTzz3l+VMKdvrk%20888/OUmGHSEU9YWdZZZJBo0FtDnhlggqAOFSqfSk4IRUDoCBgjkHHbVPdkw9ddRkVE3GzD8r8UUI%20DYSBhxNBOJFHUSkouM2qGUKYq6uvwvpsAa0oMHIDCU44QKsKKpAiAX+knZbaaoOtwCp/aksux63U%20UAODVRzLwAkPOLPgER48+AcCBSx49wkHPimkkF0OUOM+D6zdl99+/eVXXSd26CeYFux4BP9hzjwQ%20TCu9oNPq32q3iu6523jzDTjPYCgOBgMOYMAFEqQoLgEGNrauNrlcKCCAf/K7S8B8F1lEQQxsdsKJ%20HoRIoQYlWKilGQ6cGMxmYOSQQ92u9OtqA1W8seq2/ATsAZV+MLEhA0wkqGUFJgBBBbwdxqukBwUm%20yCAASY5wY49azsH6n2/ekOUGWYioIQsxcCZtvLHC+PtvrWCMsap/ZtznYxy1ShnmfViIJwIDVjhA%20rn5geMeufnZYhIfO1V0lj1EYUeTLSdi4D54q+iihBEYyEUWE8cjljLNcVFkDAybg8AcTq+Ti54QC%20fqULcMDDG2vmmd/t4YE8fMDA3CcW2WH/FWTiWcE2HfX7h4FmSBDQb8BF6xyYCpnowQnO3+UhjDzy%20wLar2rAC1iuwxPpMarkoyE+uCmaIWGJj4YttlPaVBKjBD+EaV7lo94RHeCAY79GBBc7Ah1VoAAcD%20aIACeiGN+wAQhCG0liU84IR69CMMdnBgGR5hmHswLFoQu40Iq6K0qtTmYr8BTX7GgYACGIAc8SCS%20V2DSLKsUiwWpIFJ+bIgdmdHMZjdzAgY6UANZAMAaBYjDPUIhhgz4Qw82k4N9eCBDIxZgFrehSrHA%205wdUhMEJWAvFCmrxAECQxyyYyAMgKtSuDMwjCG4IAhfGsQrYpIMJZjCFFUwhCWgAQkIC//NH37ZS%20vDAIbnAyopGNFKe95+SFAsUKpVZG5g91rKIfq9jcEzxniTl0YRKMYISXSjAKYFiCDWIYQBVooAga%20ZMIRSHgAE2ZHu2hEAx/Mg8MOuJE9/iDgP8Sz5PG2krxFLK95z4ueHHbghVjUYh31cGYMrZIKALjs%20NgIq3vh4sIjczQF9i3jC+tqXBwFeBQT0E9b9wFcbu1BgA00En2i+BYwdDE0we7PmP95zTRGIwDDS%20uIcdPFhCJwwUo7jhTBnfAxv1sXJmGRVQDjNGF+j0JhUFkIAqVJHP/YUgAlJgwHFq0o0IIOAExwoA%20AzYg05n+dKYbWMkCAvASXpDBBEbggP8NbFAOX5wCGWY6hBWykY1b0OIHaLCHFOJgD3jAgwG8ECuk%20ZhoAszJnAedAQAhgAgI6ARWoC7gJnV4ihTGwQxsBkEAGrqEMEpQDEIA4xT4mcIVKHHYME4AAB9ZB%20IjdIwhmwsMEENnCKOECKB9W4gDN8AQg4lOMtrxCtWc06hrv2NKb2sAE8NIk4BnQyRyP7x8n8ob+N%20VaA2p0zlKjtniWWs4hCjIEAVvASFUWhjEZawhAI00Fx2tGAE00jBA+LYDyaQoRJ/0MUSmOcDD9zD%20cvqJydO2dxt+oDKVwbhkcdjrldu8Kw9zYMIcDPMENhzCfduIxgQ+IxYXNKNY/MjcgAn/XOACh+9v%20nJEDN+zy0Sd4oHddYMK29jM/sgTLfhj1Zz8AKlCR0qWgB1WRQpPHUAg4VAR84IMH1NALdeFiCRf9%208IzHstEdOKah52rnImgcGpLihgIAWIEEWIDTrgTAADCdiEP2sY8NNEOIDTlITXRCpw3s4yH7sIUp%206HGFO3AgC7EYQyyugI9Y5KCqskiEEpIRAljYIwL2kPMx6lCUY2B5yS8JwDpqYYCX0ITKOVlJQ7ph%201giEIATlmAELZoEAVcCCHYDoQDk2MIEJHKUc5bjCea4hiWyYiBauOA87TrGAV8xDDAcoQAHIcIpM%20TyTO5nDIRCTSjX28I86wmIc9NFmj/xt50mXGKo4EJMAPvUaAAl2hgDrqEQZVypMHglCXNvIwCQKw%20rgQEGEUW+tE52HjBC6tQgwpEAY1KZOAKB2DFIS5RAGNkoAfzuc9+orWAGMyiWLKhij+abZe/Dacq%20xMGEP5Y33zywwQKCOMYa2qCJTMziCQY+4j9IgIAZeEWE/bpLGBIQjGAYZnr+0MYyeDDPJyyjd+7r%201m0sPBYMD2ugG+5wjz0js/AgVEXkOqgClpCBHfhDc4LpeQbMIQyc0ZzGnnsCbNq1ufuEhzNINyn3%20MPaZAc5mHecwQDxUYQDZwGR/fLHhyvLZF231Be1oxy0MFhCtCqgBESbox9BskIUsaP8DNpC4hKdb%20QY1yzCwfgPCDH8Qgh3uEoxQFukdfnMUXqwQgBieAzl7cm/a+3G9XyUnAKpxQihTQ4gvNMEd4DGEq%20VNzDBvWA9xxWsYpidMAMPyCDGUBAgR7MARXg4MZkMzCBayCADD6wBRMMIQbjG7/jhnAjE/xQDAzo%20wR/Yam3igJ1OuYQgBrVgAZCY5bt3OCE6c7cPCRexCiFkogpDmAIxziEBaSDsEU+QBg/6kQ4nBGMG%20t4iBDbzBiCpUoQSmAB5mRt7WZSz4wRtYpnC2Z3AuLAx2IFxWwQsWoAK6oAswgAcm6BouAQpkiQCA%20oDM+wzhUgQUwaqHI4pIwIAxsphj/mMCQ0mejFGMJukAbzied2MtX9CnDYq4qOCygpI4s8sWgRCzn%20dG4HYCMD6uE2dkAYvMEBjAEA0GFoYAYIB6pzWAk2FAACnM4DoC4EqzB7ekOHPIMKQeBIziGa8q1l%206KIaEEACGqYHDSydmiju0sEVlqpC5qAaiOEPlEESWiEbiMAZjmERgGHw/EBaCvEB/CCk4nAsViAe%20ToYqJO7CbmMenMAHaqAGBFFzIDCKrAZnKsRmKiQ+fKAHwEMUMWFoxmUCEKAGHqAUmCAM9AZG/mEF%20K6QHToEZeuCSKqdwZsTXYEsr2AjoxqEAYqAZUqEErYMBIgActAEGtCEd4gBplIsC/zJhG0ahDfBh%2008TAXBBD/njAH9JBASTQGWphFgiBABgh21xAGO4hDg4BEeSADaTgWY6lArZGApwFVCiwApwAHKQA%20HKZxAfJBpipgFdgBGVpPK/KgC3rAEnRAB65hG66NEbYBCARhfzaSI0cJG2JgKjpSJDvSURwFBtIh%207CqA7RZgDlZwPLxAAZzgHt6FE5jhF35BEzTBDFABBoQDB0sKYuoH5vqpB2cODMNGK4BhEQCn9cAv%20DGbGEP6B8wRDA6hgGjThE5qABJygDgzwKAUkA1bhXRZGMDqn/GBDhb5SP8QQKD8jOprFNkJFtiim%20YjZAGeUiWGhDL/VShoZjEuvBB/+eoQbIgAkOgBD+4A+IgRZq4AZy4A3W4QqcABhg0QeMTzvmQzuq%20BWZcQBWG53f2ki/rhy+EAxMgwBTW5kQewAZosWj4YeD6QQxKwQeGCWdwBgPcCA56IAHCQzucgB9W%20IBWyoAcMYQfg4aDAT0HMpxSo4Q3KwQ96wBcwYPpeC9j+QbZqIwQA4ATGARuwISsqIAQk4BjUIRbW%20YA1iIQDs4RjQIBfI4QRixQgagR6M4Ad+4Bu+4Qd8JQKMwRgaoAFawBumYRsUoQS85BPm0wjIgAzm%20ARZWIgRqgiUuwAX2QQq6QagMAh7UUz2PIQKOQSLU4TzNsw2EoA2KoAjU4RgaoRH/AgEKvqQEOqER%20mkxGm2zWAoACXOACDqCofEInNmIfjkE9DYI8eSIWDuAZRsFENcEY6IESziAFqqBKqoAR3qADdIUq%205KctX46fBETmfvAoqakQbTFccMYfnvJB4MgLYEMD0IEcqAAUdmEKkKEXvFItRSMsx9KQMsAsxSUD%20nsAO1PLHPONKZ0tbiuR+7vEzVgAAZCs04oIswgMQAoEILoEIyCExr2AVrssUbAEQ4kBvMOAB5gNn%20rKJFqIkuJKAAxkE0DKhbYEABpkAWciAIjuAGfIFcwE8P/AAYwiBz/qFFaFMVp6gHxgMV+OHmjG8H%20toYZMCAYdsAGjjM8btFrnOES/57hfBKo1zip+orkKlRBGSRgLbDBLRZgBp5EGJDBF4QBHJJBDtqB%20a5BhDoSADQRhXnuhBeDAD3qhF8jRC5YAGZaAE6QhHqKBdAj0E+ZhXuUxFOBBCmCAOeYEBgoAGzYg%20VGBApqQAHmzgaJbhHnABFyogGMZgDUwCHQBgCIagCtBhDZ5ABHQAHQjASwSgBIBABOBiAW4WZ2eq%20AijgABCABd6CVIJ2VVZlT94hSZCBHUKgQ6R0G4aAA3YAYciAEa7NSi4BtJxFP1qOK4RyS7GjSz0M%206QbjH+7jW9TgL4BBDQ7mEewAXAxBLnjgFVbgHCLgHFThAByoTrEDApbgXdClc/8ksoSWQAG+BVCp%20bgxDgzik5h+IClOcxfL+IQEpxzosL+1goBqA4zakAAIgwAqO4Aj24AumgAMUAAO0QZXeg+4UIBjg%20QD6OTwxaBDZoY1poQzikIAYAIMBGk3L/QQJ+pWRCYB3+QAa+wA0AURZSIKGm6DmZwAdKQTsKsQeA%20AUEw4R5mc2b0YFh/lTxeIRqmoIt2QC5cNxhQwQ8CswbegBoqgQkeoAemUxjZSCsiYAVUygWw4T92%209h/QYClX4fbmAAN2IBnEIRXowQMWwQlMAIG7ABXmQDDe4z2iQwlaaOk+IWYFYAhC4V3mw1Sz5wRU%20YQO2xyruwT7QgB40IgS6IVz/umAOfuETdgEKWocGkKEwLGAUSIeWgMACyLBhEmAFZqFbcMOaSszf%20bEYdTgAaCJQAPsEY5EAefsAKFIF0quQNfIFXsjZLuVbDitJLwVBsybag/iJtEcYOlEAF9YIHpMEd%20TiCJYiAZoi5vRWMJIKBv0yUDdcADxAUCCPcrAxV/FrcH4XK2erIurKIaUkECfuczDgAADGBxD6Aa%20XOAwM0GQjiAQsrAftEFz/KiBwyBUfcAf9maYGIYuuiIesOHXbnAuZuEceBYbakEGCAEUcoALZlkW%20qKEejM8JwqBCWsR5t2MR/EANMrN6H+B6h7UUfhUDxGAKtiAyd6Aq9mYHdHl9/wNhQ5yBDODgAYoh%20W38tR3KEOtsOoEKlf6yCAdDgHpxtDtL5f9fBGq7hwZahH+RjNskD5zxqEdJ2nmaAgmO2CiYgg33g%206PByP8bhAv4nPwRMhI9hE7DBHeIhBlxgA+BphT8hExjBSqrgF9phE0Th2mJ2Zh8hN6oi2VwAAWBA%204iQuiGcGhVJpFTBAGJyhGUoATLZhF1LhD6DhCwoUiqHgEnxhR65ieFwOi4Mj2IrE7TYmAdryjQWk%200CLgAEIgapZaqnGjV8mCj+eimy1mAUCpOEAgARCYfY9TYGDgduFACXoADhZhAVrECWISA0zkCGSh%20FsihFpShGaCBCG6gc2/ABP+YYO7AL97o46QLbDykM+fAlxqggQxKgbEXYRlC1TGWIA/AQG32QAYu%20gBb+JwHSIRl4QR6ywKQHW7TtwmbE2i6AwQxu4RmGqTtaRBWxphds4QiCoBVoFRAyIEF+cQZcSxhz%20ZICQGn6towLOQASGxgImyAIgIBLigRcksp0wCgoldmBZIJ/2wyts5m9sJp0LQBz6Fl4mqA1sWGar%20oBpUdBwmoQpsWBEIgBxkwBMcwR2i4RP0ixDuYIxi5G/ISF0soR9+IRLQob6eQLmA2Q6Q2wIsoUU4%20w32OWwTo4MEsARN2QAhooEAFwEoIQRREwRvewKKrhACGQBiyh+WCemv3aYf/tKIavAEEJCAGoqkf%20FiAEzGK0Z5zGa/wuXpw4bFzHd5zHezw60m4tq+4zulk3tuJK2So+zkestQMAVKESBq8HlmEHSqES%20hsYJYmFWQRcbvOEAwOEBniEHcuAIJCEHTOEUYQQD5gN8xuMBa1NgwqAcoCEQGLsUlmER7KiBtaFE%20JGEPvIEd1KAFdpgvBKzHShta/wEDsgAa3uCOisEPWkRvMiAUMIAa1OYIuCAHyKA0tlkYfbI2KoAE%20VnkDAGADrE8FitsJ+lYEiGEXxmEHAHcRQFPWZf0fgiEWfOXWY7x+tkUP9OAvFCOd42ELBMG72UAH%20RKAIuuRLCKAZHMETLiAS/2T6S6ogEO6AEozACOYBD2CBPyfgHgwkLHv9HjygczzAEnZgCXbhE/gg%204aTNA5QgbY/7Xe5hmBR8Dp5AB+gAopQLPNBhlqa9HdigczSBHS36w+dAqHPwwoZaY2YrBmTgBFZA%20GQDgtaaiOaY6o/RCaRQX4zt+YnbjYYL8cOmCdrdngPKDAnOuNsOAQp7hFpY1HxxbbKgLNg5gtt0g%20B8DBH+SgH8KBGRbzBm4gEMxg7hLKuvzaxyEQFTCgGO4NGCbAH2bmjpwAHzJAA9YG54UBA8IBGMjQ%20x+3ifHpgYGqTd04AAV4h/BrGBpygAsqhAOjmBjakHMSAwXSbt6vTqEFgFv8uAE9q4QSkYjYMJgNm%20MA9MgBUigQqW4B+U4Kz1AHw4HjTuY53+AR2aYRQOQVH0oB/QRQgIVACgeBvOYROAQAICQZYIlBGG%20QB3ugTMWoQLUWRuahGaqArvt4z5+Kxi2IRNogAaGAB1sILmUwAcOgfiRwQtKbp7ygPiJvwuEYA76%20YR6mgBxuIb3X+0A7Rw06gBb8bwi2gRaQgTiwVAeHki7igh9wlARWABsAYAYqQK4OwMk2QP7nn/7r%203/7vH//zX/8DAMsAIgCDABsKGjyIMKHChQwbOnz4EITAAPs2SKHwL8E/BgcORPgHMmRIjRlDwuA3%20MoFAMRnEsMSEiV+xHoD/oL0Blg9Xv3RMHmTIYI7WESs5cqTbAWNZmB6lTJhAVOpBApZiYDLxwy+r%201q1c+cH8GlMPBgyovKmSs8zfojhwmCj4iW5okBwHtPEC5s9fP5D9+vnrCjiw1qt6VoHFxC0AOQmY%20+mH6h2kHN279YkCzBRWqH3879u4NMAPEASl7Uf5DSRLjv3HnUhUAEE9KAgr7vrVYg25SikmXtkGq%20x6BOiyxjAhg/jjx5gAVSpDA3zkCKcecDA6BBM2bDmDHNDXz5NGnIkF/LGlkoUkWRgBKKiLBiY4Hf%20L0aMSpRgNCSEJSNGljEQgswc2rCxDBrwBPDOdgHwkkwyyySjzhqfbEMA/yMEfELPPWjAQUYbbRTR%20QAMtCCKIBUKMIp54k8RCwh/kAEAFAfZdKAEnRqCBzIdF7LgGMu9QoJFGoYkEkj8ZUSABA0SKhJGR%20M2DDQjwIzBLAPwvMcABEWm65JQP7SFSdFFyOSWaZZIJJkUUYacSRR0uGtFdIScJAggRNVhCAFG9l%204MQOYTDRwwOAAtBMKD/1swAGWTiRgQuqFCULESSA05cYTvzTAxNwFPPPDozy6WcYb476jxN9/oNB%20oEwAWg89f+iiAAT3LILBHAokAMk2shRFhDf/LJIPP0aKFCepxoa0ag8YhLFDs6ZiEg0hV2TADSY2%207PCPIQbcsg4uwADjgf8Y/+jBjmf/gLbPAQyUBhJqIAW5ziznrBCPKkpWMMMzHeiyTQlQ2EcFHqEc%20QIYtHcQCQgQJL6xwwwt346XCCwcQQggRFBRBxkaoEEs5ERxzIy0ErGffJOo8MUwmaVRIAAGZMJMM%20PSAwE8gkkwwwCSRGTHAjCKz8zEo5P/xwDCwgdBNLLN10s8ExebLyyzaMCLAeIw3AQ4kKk0wtABQE%20bEIJJRaMUYV9JQhAwC4XpHLNfpugA/c49KBxzDEzjOHLwcKoMwMDQJY0JJFGzpYkqRW8CwIALJxT%20izeHV0ABA4cfS3nlli+ZQAUJZJ5AsZd/Dnroohe7eZxsdvQRqRSgFML/lBKkEkM1ccJQQQYKmOrn%20qqv6IQECkLDUTzhkOZELOehYcYMVz8wgxiLVOkFBMbp3+mmfYYh6Oe6oqgpoAjtsQYgCCsyKgTZO%20uNLMLMhbEQgJcywCg+eij5rsss166sQErvzhCia4PzaGWsQAA526H6owYC7QiIY0p2mXSDZ3AFXI%20wBsuuIAL1vUPKXTgAVEjgCL+RYUl3AMeT0HGEoKxuRSqcIWZg8ECKFCBGK6QAn+zgAW0gYpg3OMJ%20j6BFetijCE1goB2pqEUV6HPEIazBAzxYRBjykIdDdGEOXrhHKNBgCX4wwQdcfIAS7HAPOSQgGHOY%20QzDC4YFkMGAHc2jA/4SopogqOAATT3hCEeojAEV8zQKCeMIcJkG1PBIgDQCYgAfYYIR7dKELeZjD%20PQrEBp3Uygte6NPkGjiD1IlkcEhS0qhIsoAFhMAvEpDCP1bXj32Qpi+sbKUrXwnLWMpylvKDEy1v%20ictc6nKXsvSHCkvSJk2+CYYVOIAyVAGAAhTAAHu5UgiyAE1ASBMQWYBBOkIxAUIQggP4iEMc5OCE%20atQiGv7wgQlKUQl2LEMOE7ABNyYghQrAIADzCIU97xnKfOpzn/q0JzgWAE1ojoEC7xADKJrhCnzI%204RUM8AceopGKX/hACCbwATukAA9MwGCj/OyoRz0a0Cz0YgHgCAU8bP9QT1XMYjtj6IEeZgCAWkjA%20CdicADzgwYAsGCKBM0gXBk2Dkn6oZiMnmMUMQnCOBcxmJ5VgAiQ+oR71UMEGPHiCU5q1yzeZJiMJ%20GNYTeJAHJoTBAzqwgDO4lsdxGKAWBZAAMJDBCiE8gxVd6IE27nEPHvBgFavYwSI84IF7/AMZjISi%20HuygVw/0YyyMBQkFnMAEIRCBEeopAQ0c4AQL6IAaUAgkFN5wh3ZQohpDUA/VGKEJSzyhWU8g0RM8%20cMBlLeIJ8HlkPbAVEieFYEmcLBypSFISpb7rlLudn3Evp5q+FOm4zG3u6JRLpNO56ZNFosAK5jWL%20GJCgAv1gwFEjUI7/8JKhHOM9wDxgYYMpKGMKuoDFK9Bgjmb8AR9jIAMZzGCGMdiDHq+4whVgUbGj%20vgIW//0vLDKG4AQrOMGwgIU5wBvecjBtBvCQwAWiAYoIzCAOMIgGOXTRhfvedwzgoEdoEFyxBat4%20xQoObzcknDFY0AMW2HSBDEhACwOMoSwyYIETZnyFecDDHhUbA08XyK4G/uNwg1sASE7SuX/0IwEd%206IEmPsGe9YBiGXV0yqlAJ1SSZGW5IKmAXpmQh7HqQAfoGBnVSrACGaiCDf8YQxkPMYdGdqEff/1q%20BlaRDjkAFpw9yMMDwooBwAL2H2FgLAYwEox+tPETlF0PFAZwjU2I/yITbu6aKqzhCE9coNMCYIQE%20AOuEVVjgCav2ACbGog0MLKKqel3EDuoxXCEVd5NH8u3ngirUDQzLucQutrGP3VzpChNze2HACRR3%20gRjY6TT7CEAprl0KOBjCEnJwpxPAIYxMfKEGakDDPQhxAQmUTxtzQAUqDGEIOVhiMpOJYQzpzY0K%20GMLd9u63v/utDW3AO95ykEMoWJKFQ+QgDXs4xSt2QAJlAIAJAsqDNvLw7nr/e+Mc73gFCo6LfLj7%203RQIZQ8qQYQ0yOIGJgiEMohhqglwY9/uNsRkeOrTJG/VlyTJ3JI2cApgcADLilBECc4BHx1wcVbI%20BskiFnFoDPBgzf/e2EYe9YiCTewg0UzkAWyVNYce/NWGigasE8cyB742669mT5WyCOgPZuWBFUP4%20QiYyYaE+XMARjtDCNqDwQShUgRabyMUmVuBBo6uiGnVk5BzkQPYdQBHNYdDra3fA11z/46i87bUn%20fy3lYA+76aQvvemNrWxS+SUkM5BAAFhgAFNmZDk+eEDt/SB2TCzCUpCtARFywI5FnOAPLGBjGPja%20gx58a1ZgyUtemu+P5Dt/+tSfPl/HgpdFYOIepuqBD0whiSBU4x/XIMcsFGDXwlBc+TCpvvvfD/+8%20zIofauiBH4Chh2Yt5QGB+L0VZAENs7AMmDABToAJwHAVTKAHMHH/ZKOhc2+yAAdAMd5gAGX2D6dg%20CK4QDWZTAqBgBHxUCj6wDPcgGCVogllBglA0B09AdfVhH4wABCLwZ5b3VZhQRmWUVzaEWHrldYVx%20g16QAduXVzygBnpwg6vgS8GwCnMgBJowCaOQAqOAA5oACZTQCHdwCf7yL0PABHVkCQbwL0aHDQaw%20ao4HeTpwDxmQB4WlB1VVg5TEa5wnOJ4XOsBGAcJ2enmoh3t4Oak3KhWgF2WGEZDTLne4ALjTGU6w%20CP6ACaHADU/RCtmQDW8QDdYwBXKAAYCiPbi3aERyPWORfKHYA58jigS0iJiQATbABIgQBFyQDbQQ%20A+QQDVJAE0yg/z3J1yykZ3bA4Ae41wOcEQwPYAKmcARuIAl2FwJOIAbccCk9ISgYgFVSdi49pS4P%20CFz8EAEAQA4hUAAIIAFL1g/8IA0egA+gQAPnSAOuwGo60IsesAikt395kGiahQbPQAOjMAqaQAci%200Gh/RWse0Ghj8Q9M9AR2oAYHGYr2cz+m4gSABQxuh0BORys9kQc6IA2UtAQKYEOJIA7b8AlHNAkm%20oGjzkAIpoAm/cAdG4HVoBkV69Q/+UEZoZoq2hnmrcEkokUmdRzifdzl2iId8CJRBCZR+qFWnoRHh%20OFxSlgAbwACI2BdqgRg74ANW4Aat0ApEYA3i4AT9MBOocIt+0P+JIvGJbieKpJiQv+IP3CAGocAE%20tlCVreACqXAO3JAAmVIMt9gDudh0u+gHVzGKW8cEJkCVc5EDtqAGy+gElBEozxiNnxEaDqhkKJFc%20VmJjElAAqTAO4ZgA+9AOyRAKDtAGYCCaV8AGJNICvIAGE1AdysGardma2yEEQjAGaGAEjWAJXYAI%20iNAGvtAIjcAAY/Be/HEdASAMYyAM1sEfvFAHylkJLIUgr/AK8DAB04kGvMAL21GcwpAM8NAgeCME%20hyAIdKAB46kBgnAGRkAJv9AAO9IGh0CbnnkIhHUIbECfaBCbsckf8CAM9ymbAQCdr/AOwiAMfhMk%20mwcCOtlJdRj/enc4ekLpoA+KehuBOpTTc3sxVBkkBbaTAWoBDE+3CKZyCDUgCVW5AtewiPUHCD4R%20hP7gBw8AWGPxSmSpLLzUDz+RKr3YoeCUAf2QAkPgBm5wCesQCk5QDA/wAKUAE3zSE6ZCo7mkaH4A%20Bw/gB/2wA3ziBOWQA7LgBoHgDd3gUobwD5ThSgiEc9UYmSOhGhKgXQdQAKpQJQUxDMeAB3jgC2NQ%20DmMwD/NwDD+gAj+QSQwDqA4jqIFKqEuDNEnTDXUTAR2wBkKgDq9Qm4gKAnVTN91gDkuDqIZ6MOWg%20NIlKqccAAklTBz+ANB1wMCBgDyCjqOFlhfQwp2vQAUKTmv6F/wcdwAqvMA/qoA6IZAT0IAyxwAoh%20QDSnMAZrkDQf8zHHcKhJYw7NSqCAc6BzuJMK2hcMCqHXiq3MRZRLYhokMSyHw0oMsAC20yeL0KGL%20IAfL2AE1cARcwAWXMAz3cAVqwAQdwAQ/sZVSCljXU0C52GjJtyyhYypu5wdPx4jf1n9cQANv4A2u%20sAM0ERUMuQM9oZfI9qQt6gelYgO28wyyIAk58AYrQA2ooAdgej96eT0NyEBAlVuHkwDVsALVYACq%20EANK4kJ1YAGx0gXIAAhwsIzLYAllUAZqyUJFa7RHuznhEA43qEP3sADa0AUAIgd1ZEYohFd4FQ71%20EAxbW7XhEP8MqNBuZoQLT6BaTyBGZGQHdhAOUMRu9XAPlkCfcnAPAqJZcgABS4AMvlAJavAEy2AD%204pMHPiAFYoC39MkGT6ANyMBufxUM7EZJLoG1ZFQPc1AP9eASN7l5y/aSdAg6Ptmg2Qq6oftbEjpd%20b+KyPedYRlkBTGkqPeEUpVCwtgMBxhAimlAH3zCAwPAAgFAK+NoPtbevzHKy2BKQolKxlfMWTuB9%20UeEH98ANGQABa/ALvwAG+DWkLfoAtgAT+foAx2tsgKUGDxClefkpCvAOv2AKpsABVwAD3ld7GMAo%20yTuxTFCmP+VA8SQSAVANAXAC5wACm3NKvKAGGbAE66gDGVD/Rj3wCI+whE2KS4pGK7UyBxiwCh4q%20aUvQFxTcAxMsax5aK1D0E/i6Cv3gAXVUR/TKRQi5wcqyAztkwg55CCYQwqvgFBWFCVVlQ0+wCl4w%20B4dQRzZ0CDGcB5plQ2tYwSb8WhhQGCPskrm1ebvmxNPauQv6k6JrxVc8EqSruYJjJPzAZEPlD3nS%20usJ4Ts3rBOIDARBwcXAAlpiAvT7gu0YavMNLvGNhvLhlObbzsFzExs6joT1cUbbIDT3BRdvbD0bq%20vcUGvlD6AD3QD9ywJwoQmCZgGAlQDFzkA3pQvn2yKir7gHwRQ30RZUdpJFLwA7jgBQrAA5qlA0uY%20fGVgAWWk/4tm12hhR0V4tQj9sIQgwVhv56G0ogdQxJCmYiQl7IYo7ANq4AGluANyQGs8qAe1xycZ%204AU1/AD+wGqsZgGxkCMNsGq1eQiIsEhrtmprGAaz9cKMtRedWKByyGtS/Card0owcEolF4gw0A3A%20hcX7DLrbuiRI+Q/0XAFeLI38sA8nARjDwg9xwg+qoREEfYIRLdGCkQAw0MVgKj9/cRoTzdEcnRFd%207Fhd7NAb3RX1+4BDBcAgsQD8EGUNvQEPrZT8LNMvOWWHAwMHgA0HQAIrIAEVYADYsAGOFVSi085Q%20vFzwvCSXFBI7fQBLFk8r3dFRLdVTTdVVbdUnyEo8B8D+nP/UXEUkhCgFPPkmeuEX0KXPVjwsXVUs%20eVFLQtlVT4YSDX05nnymUrZVIXACG3AA8RABFGAkFQACAz3QS3XVhW3Yh12CGcFKpxEBLiABcckC%20mzcLEeCye9HFEx2HRr25SK1VNNQPB1BEFWglFCAF9DzTp72H0AVME2osg/1kEpAkkxMdRmtvRfI4%20SyZcC420u83bvZ1CjqUaF/pAvk3cxZ3SIgFTJxABXvzQR2vSdV3P/bABszANRaUMSdXFGAQnqI3a%20G+AN4+AN2LAO/tANADADF9rWrR0SOKm5vSXWgjM5/pA4qXACGNEPASCBDKDf+83f/e3f/w3gAS7g%20A07gBW7/4AeO4Ai+AQLBAAu+AC6rxYazuaXRO7OwD+/CAKZtLP0gASxAAt5qxenNFzPNAuSQCgZg%20JCI+4o6JZGc6ORqxAN5wAVESDzGAETCQLhOh33mS4D3u4z8O5D0+EdUmGthwDt4AAABAAiyADeMA%20AtLR4PvQ438jJNH6zgn6ScedACRQCytwAHrRDUkCAmNO5mVu5meO5mmu5mvO5m3u5m8O53Ee5xdD%20ECAg5WsS4aNi3yYRcSuAESU3EBsl6IJOQxcRAOeAAKlw3kLFURQw6I8O6ZEu6ZM+6TS0JgdgABFA%20OyX3QqRN6Z8O6qG+UQSaTySQChPk1y4USpL+3Cx71hIQ/w/ngA3YUAArvQD7IAFMAwIbsA/dEABy%20DuzBLuzDLudeYhx2LhokYAAHUA0sAHvLPhEbMOZSEOfPWuUI6mu/ZdEBQCjeYEr+IAV9HX/jTu7l%20bu7nju7pru7r7n6bNGxcHcXKVQHVMAsFsA7NdgAWo2IeEQIC4QLkcAEnIIERUDEhkDAshvAJr/AK%20BgIVswEzsAIIgA0RIBDSbhzdsPAZr/ELtuu/ThAsUAvT4AIXQ/D6rmJ0zbK2/ZISMAvrUEH1rRGr%20W6C+9JLsbvM3j/M5Pzhkps/+oBqTo9sage6Ym5PSiuVjLY3DUg3r0A1FkgANxd1Rv4fwLhKX9Nne%20kAouAP/jmeRR8VPaFeAN5KAMBhAAFdAcq/5Raa/2a+9RAQADILACynABfQMDA0EdbI/3ec9PkSMQ%20jm7q8VANoeQcC6Dq/NTqDqQ5mlNmMxDQJwBcFBAAKKHQUh+6/fDiCi0s6706MU3Q86Nb2P7eIgED%209u1kLD048rQPSk35qy86f7HQ2031IRHfCQDaAIARStUPq/RKKEE7/2AAzZAKxZUAcd05Dmz8rzTi%20/CDjF9DXFsgXxw/9qi2NSJI6q5cVsiSNCgSZKW/bmjP8srcXkPPSDTRlrJ+t3cpkJHESI17zSQk6%20RQ361Cp65k//xBb7Wb5kIOE3pBKIAEEhhIRq/wweRJj/UOFChg0d/qPwr59BF+RU+cM48eFGjh09%20Opw4McCMfQcYTORnMKXDDTD+8XO5IcE/fwZrfsSZU+dOnj15zpw5I4TCmgkoSGCQM2W/fhQ23PQZ%20VepUqlUVzmRw4EAEnPxSzvzHwOVCfxRWGgVrVWrNlRJcGMDoT6NauhxD/hsJ4oAUlCobJhjnQgKF%20mgtk0vRbV/Fixj1rCiX6zyhSpRKbPm2cWfPmh1i1cv3Yr6jBAAv+puW88yYMKTTlMk29+O7Ikidf%20Jl4IQtWFgjaTIoQaW/hwnhUOppwBGrjko78/Lr0cnPh06jo9b90JtrTDmv0qVJBeHeHcg0zNkxfP%20c/YM/718b79fCGMFgnXfKejdwGBDgA0gAvwHMEABBySwQAMPRDBBBRdksEEHGaAAqH/Yi2wy5zyC%20zqnw0uOwQ4OuUw4nsDZojSG5PGSoH7DA+8c4y85DMaf1ausLPoWkIEGVGA6QLIQD/ANhg30i2KBI%20I49EMkkll2SySSefhDJKKaekEkIJKUyoqOYqY0rDGL9MD8TsSDNtIX42/HIm7+4yyDyMwPRovfZq%20XCk3FlIBICK5DkugH36MiytQQQcltFBDD0U0UUUXZbRRRzFy8bbkKtyyK8u8hDNT4cTEaSLtygRJ%20tDpR9BNN0d7U9KEZTaLTIQlOSIoCsfYBr88/XXs0V/9dd+W1V1/jWg6yLJmjzNIuMUs12cw4jXM0%20vEBliJ8+Nb2pqVFPRVNZibbNa69WG6pgpnD/MWymarVFd6orhxrWwobONMhFGBIoyqgNIk0IxvJs%20Ohc2mka1i982F0KvPPPGE3jbNv1N8eB9XRvYYIYJZlgjVFGq9iZmG7rJOBgWgPfZd6udCCrp5vLz%20XdQUlig4lAEGLi3p/OGnYJsamovegxKoc+WbTdQo5IgnPuhNpjY4oJsZbFsJ5uP62SBechlwMeS0%20pC06LZt/HnbhonfOtuaHbUI5y61ZJuvrnH1++mGL+7XY6YMquNWfEEK82d1oNZppAQkA4FGyBMQq%20lKb/BA6nd82XlqoVrMMNtelwsStAifEzYcOWUMMRl4vyxSWi2yvRvSrcH8QT99wr0EU7vaZCRx89%20dcYNp3lcycL67F2IeywAABAMoiAAXAc9/EN6XfSTqZSk5VlU2EWXjEVp/6yZdZ5fktz5579iMYFw%20dca+eNPBzzxQ7JnyvmZpX/N+84xfR4mCqq9nLnyo1PwHaRCW/pahcwpYR4tm0hLrda5PrFNfuNCX%20kkJZ7HGCu5yovGeucb1OLsxb3uOURzf66Wx7K/HT4VCiPI18j3Ez+eDlMNiiyoFufMaj2fYSwo9J%20tatSaUPMhABADgC0pikBgJyKOKc41XnnhYIrH7A2/ze5Fnongi0LYuuIeMLESbBwQtSg7FY3PhEO%20L1A8e834tOgdifBMWnzDHXYYMpOIqMQbzSiAAcTFnwYWT3D+QF71Mtg87cEuemzhGd0idz0MMiWG%20z7tj9B64OXMtMolv8p7rODfIRpLPUGLjh/wkMr0P6ek7aYmISNjDv/fI7R8HiEEzZlGmBYBgAXIB%20I/PAx0XXVZBQDvRg+mwSrgqKr4EhJOQiqddBtshwk13UYwklBzoUbu81Kxxj44znp+3ZUTLCWo7e%20CPYhg1RDFb0bij9mYAAmRSAC3QDBPtS5jyANKQL76E9/grQBc3ZjSedM55HaaU54zrNI7OwGkZRU%20z/90rnOf75SnP0EQgRDcE5/rZKeQ+NkfiIIgoAJN0t0UCoKD9rM/3YDnPgKQlI0NS080WcEsAAgD%20FXVDAku6aJE42p//BHSe7MznkEIA0YoytJ1BSidHzfnTnDKUp+ukZwSAWlAhLVSpRoJnkQJ6VHUG%20gKHd4I9FgxSAhYYAq/800lSpmtSlqrOpQ91PQtUJAgrAhgHs8VYpG7KOGMwCG/vokQR2KqSmBqAb%20Gs0qOvfz1wgEgKpDsidYBxuCnfIHpDN1qpCoereQcrSfQw0qRQ1rTskeVakhhSd/+nPO/wRVpO4s%206FEp29TMutOjM00qSMfKAI1hKZs3/ItBJKAKVQD/YAZMGYgUCiQUrP6HplwVin+Me1qGhmC4IfAP%20A/4jUuRCV0AfZehzi5vV0ibXuPvZbAhmoF0AHXd/1uUqeP0q3ue+87vdRW88p5vO22VFjWZqkQD/%204QIENKMgFZCC0grEWPeG1riMxSoDDMxVH92Tsf4pknFBQOD8LHjCB4Dpg40kYcY2NsIM0I94l7QP%208RZWtGllKHv0sx8Qb0DESypxizla0xmwR7gRDm9bJ/JWGsmVISBoRiriAQMKSGEBW0nrdBkw4eSk%20FcdK26uShJIf6RZpySVOspEm7FUlBeAA6OXPPvTT3K2K1rAalnJjvyvdvza0vPvZMkaP5GUwCwm+%20/8oNc3gbOtB7paQC0KVUsRyykhC4oBbnKNHgGiKFeS1HMjBodL4oQGSGLMAsCHt0pGNGgTbeSNM5%20TACkfYbHSTOE0ajRmKi59ugSKYTILEpIqD+9M0jXN3cMMY5xrofKWXClAguQQqcTMum2KqQpkQ6O%20P2BwIYRUgMgwMwoMXJTsZa+R0zDLJJEL1pRWx3rSbPs1DMLD7YawJlJWWwDIjE0BS3NrlEzDzUIA%20EA8WtCgiMABYyT6GL1pHyNTFljSRw5NJfy+EcI52dsGBw2m2/SPYNgs1wBcubYYc/GuZ9tmxhY0Q%20KUgBkncLNLPJwsYDrON3kuEHA6CFEPlNq2Ul4/90dyDmHU0uRH75pknM0RZCfh+k5RoRDcwJozAJ%20fochP2/Ticoy9KC3yXsbn1u4Ljewpcu82Zy29X1H3mzGSr1FaKqA/Epm9bCD0F94ZOl5zENw6FjG%20dN/pztmdrXY3hd11JvOeIBVid0L9SXp1UtG1F8L3Qdl7JRnp5KUdxhz86Y+UTQOXVVvtvZJBnuAu%20/xwe6Vaommcp73V6U1nAUyhpk6xkn3wN0b9Dd/NEyGaZRF4Ol35Aupd+YbCp+raMFnbKsZ6MXwG5%20DQW9TTIiRi5tNGXST/QefzEQ6Nky2HG8ZqOOnCpo0wf82caDeOZfH4raj35imv85lpU01mKDyHv/%20VsSd58MHPahCm+f35bK5wP9sKXs5ebg/sSvubCnAWT7+0xyEoB+WUZGIURuoSZrHizeTKqOvs4nD%20OxWEwRqqG0DsK5uXU4mxG5T6gwr+YxnoGw/0mAsGOg5T8kDxu74AhL7jeYngu63h64k2koJcswmX%20qIAZqJpIGRwQ8BSEGIukMI2biIgECAEGQCFukosAaCMAQ4wjEwuIMJ2ISIkQMCWqaZ+dwYstbKOo%20+QeXkB9hCxeXCAHTMI0ClBUczBJMuphX6ocISAoXMb+dGAuuaIr8eqV/GIdqAArU4AcS+B05bJGU%204Kr0gwjYIIgIWACwCKV/qIbfghCIQCEDMAAJ/yiL2wGLgeg0sZGfceCKBTCOiBAeI9sHCWi32/mH%20fUAOQIkIdguABDCAAzgLgyhDBjAAUOSmU5qIA4gIKbiSU7rF3nO3HoO8j6iJNpoBrDEdhDgAA9Av%20fHlEvygTrJiBHPrCmrDFbhAXcYkIBliHGqyTiIgAElgHfHsJ25GCagjEYyweb5TE26GcCoCQavhE%20v4gAfOuGd+wSUGSB8TKIsbiXBRiH36Eff3CxsBCemgi7/OGHbhiHEECjx8AbxNCmGXQ4bwggcgkL%20g1gAb8AGFsCXpmAAAFiBwHEilSABAGDCbaE0A2gGEogXqIABAJiFcQCVopiBWUAAkBw2A8AGAP+o%20meUbnBXAht6QDLmYAcCphlQIIOdYh1mAgaT8nQVwiQU4gXUwgJTiipuIgHioRFXwBtMYCwNwgRCQ%20AgAwgIKzyhOgAGxYAX/TtTSaSJ3wsxNAAGecm4jYrVQggbEwRBJAgHj4jb6hRWxYJcmYiwCYBVVI%20SJYDzBXgN3YztHgQHts5pRi4AFMcvQ9ZBx3xtVD8h3NIhRk4h1o4AXLpRmxQhZksgBBIwhBQhVmo%20BmxAgKHwt3V4yXXgoe7gh7OMgSKJgXOQQwYogFl4zDyUk7gqRgw5CAmoBW/IIWdLxXhAgHMwjQOE%20iBmIgVQIHDYSnpnEBjtMi32YhVqohuJDxlT/qsYWaQ3wOIACqIW0TAgpYAFymAXnWIkZiIdmWIeJ%20iBQDeM5xqAUXMI3vgAEWqAUQsEsJOAgi05EDwIZmuEWW+gcJiAEXWIfAjJpaIYFaMIkCwAZpSQp+%20WAFVgFAT1UKJDDmpmIhxmAYE8EsXCQASgE+qIUAYKM9zaKtZZIAYqIV83EKOjAEZ6E/9ookQIIe7%20zKGSWYCKGId4oUIKAAAZQIBFpBngmYECUAYAELdxgYETmAZv8IYLKADlkIIhHYd4mAajrFBlUIVX%20ec70owAwPYcZqIUCqExyUYVp2AsZAABmVIZUMAAZUAXp5Cb7mks6XAEZgElb8bMAGAcE8Abh/wEe%200ogBBIgA/AGLdbiAeCBAcjkAVVCG3kgLGNDSIUOMlHCJA7gAF2jEbRFQGWABl7gLfgAABLiAevvC%20NsEGZTiBWWiGeECWCEAAZWCA3fDCFqkGZYgBEOBUCRiLBHABWQ2BWogHUNmHAiCHGXCBVi2hEGBW%20EkiFZh0YUSLGBtyIlfhSPzWc5eG0aiiAFTCNNiqMMcXLhDiA/vqNoZvOWqi3mygT3bwAZwQ9g4iH%20VAgn/DnLaVAFgmTGZrgAVZjXxTkBZZiFWYiBGGBQ0ZCCRT2AKW3UiYiAC6iFfagGSaW0f1gHZQhP%20YA0ccjmHaZAAEiCHFVAYCtiNUG0GBlXCCf+ZSC2RwZ3wjhAQsq9jxBb51UVsOonYAGw4BxPMLwMg%20BxngCjCcCBigK8pEzH8cB3IgB5jEOstIgHOw2S88wIkAAGUoAD7B0iktABCwTABdgXMAgAJgUGeT%20Am+ohQ04gVpgF5rYgAIogBwsgCc9iHVIBW/wB28oACS8tzsxAC3903argALwynOIBxIwjq+Qy6nw%20CnF1RsoZC3HEBku0xoi4k6VRwm5YgWmIgYUMtXjxhniAylSlGW3FBrhtxKR4z99qQr3EVW/AH6/o%20hzu5gBP4CpeAARpdAQAAAI0FHgpwAVXg21Twy37oht5ZABJYgQ1oQglIBRboBwAIT+N5IwP/QAAZ%20OIc/CoB4yN03CiDPEaU58TFjNJ1QRd4WwZcImAVdbUKDOIBUqIZxWYCrdYFpuIANCAmjkAwWWIEY%20SIpWgwEDIFlvoDj9PZNZ+FPByS8KWAEyHYpoxQtsqIVUwKsykgJUIsnnrYaVqAAW2NmlBFvSIN8A%20kIB44FmD6AZVsNlxaAZZDIndcoFZmIZ4wDpOYwFVIM0LdRzEqKEYFLmd4AtvcIEzgReNOAf6aBsA%20Q9Aqxh66gQFvUAYZKAjlBR4LrYUIWD6IkIBmkIHuvb4EmIFmWN/8Ap5+WNQCUEUO5ocAwAbXxc9/%20AAEXWIH9jIFkRIz3HKnWLGDEcOBxANEh/zSIDdBgCZgF7lQTGNiAFehbGcAGo9CIE4iHahiHC4gB%20bprDnGifEMCGddjEiKgGckgF4bnDf8xKBJiBMinCbgCAaUgFtkKcf6zb2oXac1AGXH5HmgiA56VX%20/XLOC/CGVkTFaiDZA8Cjf/wHVvaG8uxeZTMOEsAGBpCAMl3EgwCAc6hPT91Vg5zbcVCFX5YI0ziA%20FWABNcWGopiIeh6HW3UB/DFXVqlfjwgAjwlOIJyJfUiFzPQ54PlYcjAAoyMXIvOGaSAHU9TCA1WF%202kw/jQjgWsiTU5lXSD4B0ZDDfmCAFbCIanSRiFiAXs0TAqyACz0BcoBgVAyBAjgA7SSBo/+tZxKI%20WNra1f0qSR8dimALi+YFUwQQ3ZkY51cZ11lUUeGLYp2IiHVQyRspAFkFI59r2p18O2bE3AMQCeDB%20aBdwjitlgP+xYIRICRBYgbsVoqaogBNQpd+45hapW5j8FzyySgPg1LC0GEpGingIAc+RjHU4ARa4%20gNw9w9bwBhYwgN4KASIkT3VUBRcgwgpIyb/xLztOZREhjRPI1AeMiHzttZaxY7I8zKCe5MSOlJqA%20ARAgXx4pvpf42EmliRJkAb3Oobamye604xBYgWgWG6AIABaYUZyOl5k4ABYYnHPYh5tIiT3MUFiJ%20yxk9ABKIAc01nFRch7sBAFeGCoL4mxP/mAF/xgu4co/l9AjkW4cWLpsIEFy49TPXkIBzKF+ECYB1%20YAFtXMaiIAGvzCSDKBEGOAG0lBqwKLl89Bez6IesjGYB+ooEYAFsGIqnEyASkABUit9/PFApUFB2%20WYkIOAF3noXJvutqIIEDiAcX6DYpiEUGeOxgQAgQ6EerloCI9NkVjQoXWbJ4gTV/cMjS0Dvg0YsP%20gRkQQI0i+8JxQMJtOUB/0Is2YuA2otSt9jkJeMWkaxO9OEbLFOt/MABazcJ7yZ/oJfB3WIBqqAYF%205shsDpdbtAyAPEMXMbpPkoCTG8zOnQrvSAo8UrY3pwB4wk6Ay48GZe386hhu0WW2DlvP/3FCh8tk%20LXyWURGXChhoVBRCmICIZFWkMgEilvwOfjAM/SjCL3QJEOeaBKBUJoVSWnScVYE36tuIm0iKLoEI%20eSGXbviOSPFxH5IIEa7UOxyR9SwTHPSeLU/VUyfATEIJlUNy0KyAk5Mf5fXxAWclnXFCrwBDh0u5%20g9yZMqEVO560mmkjyo3AQoTqHZdqqci1NhqLsWj0yJkLQLHzYEdFoyiR60VFzr10lmkNHdsWemHp%20sbkNcymTuy64tlppbsIXsEh48rNMw7bjyGHroAbqQ721qGDglGi1NpK4sXiNYmufHxwXVCOjMhlw%20jQSeaZubZaRVipQQfL8NQAELSqPyDv8Oi5JRCai4ztuRZodDxUYLgAMUpNVgOQJ/dflNb/plb47Q%20GZewJo+xQS9sxGOs1CJcEX67lc31S3jMLzayQaWfeQmhGZBfHulT+vRjo3+c+ZWICBeZRrYu9IPA%20xf+TiHOndLzS8Sf+mopMF7aeWJQL6taYiRJR+fLIeXGBjTMUORvlm+AoQOr47MA/2ju0HaNzHK/I%20+QItCj9zmrEIxau1RhaButiQ9f5RFn4t1erZWpbXksxnOSoEFEMsCtgGnpm/0kSfDnNhdygOfIKR%20+j/ph273uX1tEXUri4zR+3TDRNrCxWabFlHhPvGofG1xFrEg/fw5wwa9GmEDGMN2iTj/jJQyAU2F%20aXvqSM71RldN4TkCB49718ixQI8mrLaL93UpILgHPDyAgLHg378EBA8iTKhwIcOGDA36+zcjgsKI%20CShIYOBwI8eOHjsaNBhgXQFsIQxK9FdB4oEAK6sdKPivAoV/FDTy+9dvQQUDJALYnBGTIAwYRCMu%20yFkwQcSPTp8eNMjgwAGKUK9i/ejPYD9/IVY0A/APaM1/GlkMjSBBykyiZglKKXtg3TgYNauVTWDQ%20qMp/UpiWLZt1cMJ+OsfO2HeAgWGlSglDdqpU79gTCADMWPkPxMFx4wZuODCjZl6CQP9tWADjxLqa%20FWaEQAhjZdOEFDRHhgxRolWEFjFq/8wt/CrXsS6mKTMgIUS1FQdISFiBjZ+Uc7XO7SNBUMK4dQYq%20qOV3ABuCEwF8KpdgYEMIEonHRWBgYChBw/9qD4cqlWrv/P43bkUQPxIg0IQLM0gAwiwuVDMDCalI%208M84BRRwwDixgeDdOhtIsZwULCAQwwwgsGCAAd3QBYOJC4BgQAAzrHcfQYL955Rhhr0IwgFSNCZg%20jT+i5I9hIJzTBALjQDehZ9UAIBYF3lywTggHJNAPetUscEA1/0QQQypoSUDCfAd4kyUJIUhBFQMs%20VGNQYD8+tdtEFRUEHJx3IpSTZhFgc443MaiiygXnpHKBKtj8A2IqgCojwQGq1FILAv+zIEDOLPHU%20ckEMm7qwqacx1ILNCrUUsMIFBTAQZET24bnRflW12io//eREwTmqHBAPAvFcMEsMyqhSAAgzFJCK%20KivIEM8CKyBwAQKiGjpLARfUAoB0K8SADYUA1HKsKsoAUEByBwX4WKwL3YiYYoz949i5w/FTAUoR%20FHACC9hoW4s3kh7az63kBEtONd0gUOmkqVTLayoFxIPNLNhic2gBz2JTS1i1xNBNW+2+65Cc/RH0%20W0Ydw4nSAgCwsE6w8TTjQi3KNDMLCPEcegFyVBXQTAGByiDDzg+/jE01qZATD6HPTiyDKrOQc8EM%20AxWEH8kJvQry1MMZxM86s5wQw4L/1a6gzKlzSSzDNPHAMAs2izZTyzTPxkMpObWwACI51iIQc7PK%20rBBPE7NssLHgVx+G44g79sgx4VglkFNTFKjSXAExPCt3WP/EUwAA5CgzTUvNRDxLLU2fOgukzaxw%20wgrk1IsxNqAqk8rmF0R4H42LyxTRnAmJHBzuwl20wQounNBMPJ1SjkAq54BAwsQM43oAAC6c83Cw%20LEycNwAInLOCKjFMvgILKxRQyyzrFByCUf2g9DtBVbsPWVMV9PPhLCGAam0zqiCMzUTxLKx85wjA%20Oc4BgBNkDgEuoFQqUJctAGSLQvEAAEkAdQIXXAAALjFKfX6XrhetK3Hmip+rcKOS/wAUYBzemCAA%208mUxb1BgFg1cWwGmhI0mzUKGqmCByxAgnVJ5b38x8BMEUyG+QhmAHzDoB25+9zE6XWRkJMxKgCgj%20gYGwYBwvMhEJqgGCBFTgHCz4BwlIQAEKTGRKwzoBeE4wDhBEoBrnyIwEWCCFiRxgAQ3awAmqIYVV%20TcZ98JsiVpRSln3MIAEROEEEKGCAcaDlADUZxzlawgKgCGUxizlBCBhQDZ8wYAYncBQMvAODA4Ag%20BGGy0jqGkrX2Le6Dh+OR4kZIyIUIqV2BmcEG+uENA5BRAutAEEWkYIATlFIC/WBACCJQFQZ4hgES%208IYERtQdCQSgG96IwLBSCR0Y1P/RMFC7HeGeyDvbreWW6lwnYaYCK3bCM54eAeFiRCjPe8IzIrrj%20zDn9ARyp4TOg6sxJAKgSG4EiVJ0h8ccGDscAi7wvoRK9mj+q6I93IsQw/gBnAGw50Y+SLCLutBpI%20Sxorx5mFlzNgi4xaatKX1igis8LoQTQKHFbBNKc/EqloSKrTn+YnlA19qEyKCtSjYqVHB9DYOZmY%20zopCNapSnSpVq2rVq2I1q1rdKle76tWvbpV9ZjHofcBq1rOiNa1qXStbodrBhnajJUyhn0q60ta7%204jWves1rP8TKFJqGTCcYYSlSC0uYnNxxd4Zd7GCYiUiW2genjJ0snfZJJyVWIwD/TNkrZzvr2c9q%20NV5jPUAI7Ara06I2tXfNWkqHKlMfqTa2sp3tVPWyEoOMSCGGScACxtENGDAguMIdLnGLa9zjIje5%20yl0uc5vr3OdCN7rMlQIDKKAWmCxAutrdLne7693vgpe4C5DCApw5JTRldwHpDS972+ve98KXuhSQ%20AjhngC5/pAk9Jtovf/vr3/8COMACHjCBC2zgAyM4wQpG8Dioop4FQzjCEp4whSts4f5WA0kGmEE3%20InDhD4M4xCIe8X9JMI4Mi6maCeEHUwhSAfWeMcYynjGNa2zjG+M4xzreMY977OMfA5nHAlkABQzz%204iAjOclKXjKTm+xkGcMAjKoJ/9mTq2zlK2M5yzUmMk3I28SDzIqyYnaKP/gR5sCOOc0KCZJSvqzm%20N+tELwCt6Vb00tc74znPet4zn/vs5z8DOtCCHjShC21oQWc0sodeNKMb7ehHQzrSd9YMq6ok6Utj%20OtOa3rSedevRwsA51BkVNalLbeqGwBLMZl41q1vt6lfDOtaynjWta23rW+M617rGNRjlVeZdAzvY%20wh42sYtt7FWHTC+N+/Wxm+3sZ0M72q0GY+NuNMKmsDiip942t7vtbaS2OdXfPiqLG1cfcY8bpnpR%20SpnnnG6TRlbO7543vett73vjO9/63je/++3vfwM84AIfOMELbvCDIzzhCl84w/8b7vCHQzziEp84%20xStu8YtLVB7hCEMYgBGG+6ioTOnYwQ64gXEP9uMJT3hAHoABDA/gogG3EIUOnCAHJpwiHszoASow%20AAwMcPzkWCE5yXVrCI6HAQMVqNU/1sHImUDNIFATekNcDgwYhGHqIHABrnYwcqoTrq8qz4MPgLGI%20RcgjE01whwWu8I9iwOEZMbjEz5MedLA7heg7GHUY+AF0PWCgPjk5AKEOcCOx4r0hHWcHx/mSkwjE%20TAyv2HviO0ZylfsgD0BfAAZ+MQ13SMMJ9cBAOPywvQNs/O6V74jeffMPpOtBD2Fg3wJQEgBsBW6c%20q1fI0Y+upR1x8ACNgsfu33X/+SeQHegcb0MkxHEHXUih42HQQ6AwYIjXF58jrUdIAjiuh2AEXTSw%202Y4yvGETt2SfIEnXxgym0YQmiKUfZ5fBLORwj/TjieOYzwPHMaANIaTBHzSD+61DfSBLXODfRmxf%20VHCcIXicIVSD2zSBDOwDQVxAMxCWaKUfDGAAO3gDNqxCDExDqizDPYAKGnhAAsKJ/iGfDwAdBmCA%20D+hDEwDBEkSCMsSBP8iBAZSfZKkgQizg+3BcPgBdCCiDC8CAN6jCyKwORVSJURXfKizBKqzCAbCA%20MpBDTCwCDwCANRxDCv7gf+jfI+QB/yUdBrSBPrjDInSBATSBK2BCP8ACuCQE/9J9nAoGYUE0YBig%20Agt4DkEEh60oQwhU1GHgnxSuwgzMQudQ4D/gwiKAigrwQBiKYRiMnQsmXQ8cQhpEgxjMATpMgyvc%20ww7kggxUQxwghB3+YB52XxgcHTvMggy8w25phD8AgDJEgGaQ0+pR4RIUwDQswebYxSJ4gDVsgTSA%20ISUOBwxaAPLx3z9gwCocgj7MAhtmgjIICSZ4gwwAUyoi3SoSXUWAXxjIAzM0QTwQBIdVgD80AwJo%20jFGYGf55wSoIwwo0QTPIQBOkQgQswjFYwzrwwiQq4zJiwNiZIecdwjbIQCpEQia4wgT01Qr8ASws%20gjeqHv4FoUGEgT8AHTAwgP8qyIAykMo4VAAMKMMshMQ/TF32waA2rAG29A02SIE8zEIzJEMyVORA%20CkcP9IBBFl0/5MEhRIM7ZMIv9IMc9MM4IIA3+KAyBuFKzJ7sweDJ4MsJEAQL0E7hrGQUrsIcYIAX%20xALJhcOapMI14IIH5KRORgZP+uTegUMX5IE0PIEv9AAqRsChhMIiYIJaEkRGvp4/OGDQ3ZaQsEAt%20WGU/cJAhZp8rAoPsfVxEVMOChIEY7MBe8iVkMEFPOqNOYEIo5EEXqBwGzAEwjIG17IMrfqNOBqFh%20zJ7HAUMw0IR9GECfGAUM5IRBuFnlId0CHN1FwEB7/MMOUKYYXCZk9AATGKSzTvRVGarcHADeGJDA%20KVzd9V0kJeZhX9mhHryPUQRA7TBRQQwEuiVeL6hBGATDxrXPDvQDOOxABlBecWYFEyCnM57dIvAD%20MsyBBVgANPoBT/JkFrxgdYJj0RWGHW4kQfDEfSwdSlyESxWfy3Fg343TDoDDyGVAU8LnR8inQZ7d%20PSzCHHSBBehAP2QBT/pBifZAMdTdHTplONbh9AWDx40Fgr5Pm9VohuJojurojvJoj7ZKQAAAOw==" height="178" width="589" overflow="visible"> </image>
            </svg>
          </div>
        </div>
        <div class="fig"><span class="labelfig">FIGURA 2.&nbsp; </span><span class="textfig">Tiempo de virajel. a) Tractor YTO X 
          1204 y el nivelador de suelo Holmeca. b) Tractor YTO X 1204 y la grada 
          pesada de 52 discos. c) Tractor YTO X 1204 y la grada mediana de 40 
          discos.</span></div>
        <p>Apreciándose que las magnitudes de este tiempo 
          oscilaron durante las observaciones de 15 a 23 s para el agregado 
          formado por el tractor y YTO y el nivelador de suelo (<span class="tooltip"><a href="#f7">Figura 2a</a></span>), de 9 a 21 s cuando forma conjunto con la grada de 52 discos (<span class="tooltip"><a href="#f7">Figura 2b</a></span>) y de 18,31 a 39,2 s con la grada de 40 discos (<span class="tooltip"><a href="#f7">Figura 2c</a></span>). Obteniéndose un valor promedio de 18,6; 14,46 y 24,32 s, respectivamente.</p>
        <p>Para
          el caso del conjunto formado por el tractor y el nivelador el resultado
          obtenido es superior a los valores admisible para este apero de 
          labranza, según <span class="tooltip"><a href="#B2">Companioni (1990)</a><span class="tooltip-content">COMPANIONI, R.: <i>Material para doctorado sobre explotación de la maquinaria agrícola</i> Universida de Ciego de Ávila (UNICA), Ciego de Ávila, 150pp. 1990.</span></span>.
          Y para el caso de donde se formó agregado con la grada pesada y mediana
          los resultados obtenidos se comportaron por debajo de los establecidos 
          por <span class="tooltip"><a href="#B12">Jróbostov (1977)</a><span class="tooltip-content">JRÓBOSTOV, S. N.: <i>Explotación del parque de tractores y máquinas, Ed.</i> Mir, Moscú, 1977.</span></span>, <span class="tooltip"><a href="#B2">Companioni (1990)</a><span class="tooltip-content">COMPANIONI, R.: <i>Material para doctorado sobre explotación de la maquinaria agrícola</i> Universida de Ciego de Ávila (UNICA), Ciego de Ávila, 150pp. 1990.</span></span> y <span class="tooltip"><a href="#B10">González (1993)</a><span class="tooltip-content">GONZÁLEZ, R. V.: <i>Explotación del Parque de Maquinarias, Ed.</i> Felix Varela, La Habana, 1993.</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. Aunque es 
          necesario destacar que para el caso de la grada mediana, existieron 
          magnitudes superiores a los 27 s (<span class="tooltip"><a href="#f7">Figura 2c</a></span>).</p>
        <p>La
          causa del porque estas magnitudes son superiores a las establecidas al 
          utilizar el nivelador es que cuando se trabaja alisando el suelo el 
          método utilizado fue el viraje con lazo, cuando el adecuado es el viraje
          combinado de forma tal que se mantenga aproximadamente el mismo ancho 
          de la amelga demarcada. Para el caso de las gradas, 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>
        <p>Investigadores como <span class="tooltip"><a href="#B23">Ríos y Villarino (2014)</a><span class="tooltip-content">RÍOS, H. A. &amp; VILLARINO, F. L.: "Cálculo de la franja de viraje de los tractores", <i>Ingeniería Agrícola</i>, 4(1): 14-17, 2014.</span></span>,
          refirieron que la longitud del área es uno de los aspectos de mayor 
          influencia, por lo cual es necesario minimizar las zonas de viraje en 
          las cabeceras para aprovechar el espacio disponible. Por esta razón es 
          importante disponer de un tractor que tenga un radio de giro mínimo (<span class="tooltip"><a href="#B16">NC ISO 789-3, 2006</a><span class="tooltip-content">NC ISO 789-3: <i>Máquinas agrícolas y Forestales. Tractores agrícolas. Procedimientos de ensayo</i>. pp. 20, 2006.</span></span>; <span class="tooltip"><a href="#B17">NC ISO 4004, 2006</a><span class="tooltip-content">NC ISO 4004: <i>Máquinas agrícolas y forestales. Tractores agrícolas. Anchos de vía</i>. pp. 20, 2006.</span></span>).</p>
      </article>
      <article class="section"><a id="id0x92e1700"><!-- named anchor --></a>
        <h4>Ancho de trabajo de los agregados</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <p>En la <span class="tooltip"><a href="#f8">Figura 3</a></span> se puede apreciar que los valores del ancho de trabajo de los tres 
          conjuntos estudiados oscilaron de 2,63 a 2,91 m para el nivelador (<span class="tooltip"><a href="#f8">Figura 3a</a></span>), de 5,2 a 5,45 m para la grada pesada (<span class="tooltip"><a href="#f8">Figura 3b</a></span>) y de 3,3 a 3,63 m para la grada mediana (<span class="tooltip"><a href="#f8">Figura 3c</a></span>). Obteniéndose valores medios 2,77; 5,3 y 3,49 m respectivamente.</p>
        <div id="f8" class="fig">
          <div class="zoom">
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p9ja8X1x%20Yt0/UNBLHjiyGjPYBy/amIKXPoAX7oguAPjB3+KaYB8qIIA/8vEK1RLBwTDYh4QVjIt8qED/FMso%20J/gEhTgKqhK9T00JsgzSkJZARX6beu26WrJlXuggGdxcRjFE4UJcVHnRMFhGOR6QpDOXQ6f3fGM/%20UmBZGHTgAQk2qaMfwMtiLCMZuOCmACW3NZi9BE2ASdxSAHuSsF2QZ91C2atifTRuOaloDUAUxw7L%20y72ioLc3XbQxdMACAYjiAbFjgCzbfGVGZkAALJhwaCOrg8xGFMcsYIFnIxuhnAWFbSzh1EAy8Odw%20pTtTOSuJkd2HrZOs5CPOgQ5Q9i07WzvGH0j9hyhEsdAoN/YVojDBMlAA5HD7ohxJugGneaCDGTh6%20ICq4cv0sC81y4EIU2XZ0PlDQTBZQ4BWl/8KbP3SnEtBxijGWQtpHgtJrlJy3dFbDyZ6jNildWypT%20wonHnznVjxsUgwgNAEEysJGAasRDBCzARjUIIAIKYMMY2BjfC/bh0Qqc+iPVoOYLQgkDFBhAtQmI%20witgAINyBBEGDHjBAtuksZjTnd1IU4pLXksUWpvkU5bCt2oS5vKC9Pp9YSte6CaQAgrQoMApUGAU%200IoCpReDfg/mGQB4KAAK5PSNEFDBZdNRgYqjAAUm+KkIeMECY+xDt9MVQTKepxhbay0kq+FTsADf%20KKDs7iTznu1JNrUpxWTOWC0pPku6xpOF0UAoLQEBhTuADRS8oBpEAEE+9OMOA1AgnslYwf9uJqCC%20FHhg68WYFAXYzoAMQL0YL0gBDNyRABUUeMLVyIcB3AGCrmVK77bWOV1xL4QyKvsWWBmmETfXVDl3%20E1DzFd0CM50CgfG2Oe3SfOniAceSFU2Td1vGSjK3JIQWMUgDFanBAqKASq4TgY1SMA6xe/U2axeW%20PCSBSkazciEDEh3hD2zDPUrhLTCRfJ3CD/NwEKHiOkTYJv5DhPwCKTuhAMiiAH6lGllBAAoQD1PE%20PfNAQ7wAAP/iMGfSHIjSgY/BEwPYJh8Bc+eCEN5Cd8AnMxZ1RygxPlojFKwWeNiihn9BLG2SEMcn%20gS2Bb5TDb5TiMe6SFMcCMW2yGwJhDL7/kCT30yb9QANJqBMQCBPiQ4VRcRAKEIhc8Sl8ZnN3hnPp%20ZRNjwUoU0y5hsympsS0JsT2bo3ggIRTzsBsrsTA+ERK/h2tREWhYky/9EAXpwDeZojBug4ulAgHy%204m9O4XckAS929385EXNFmHe/pix+qG/qtoa2Ij8EwSAX2C4eMIkxcRubeDswwQLJkBVTCGs+QTDu%20Uo1yESyNMxPBJ4cm0YOd0zTbA0aCsze4oRA0sBIAt4IH0RjPF2tIExIaCBJQuBCTGBLPwTKr4Q/q%200RUJKRNpODlzY27pFoEI8RIbI4pLtUpK4VRFcYorQAEJYIdI44MK8YRWGAUUdmv+sBox/6h3hOYB%20NxAPL2AAPakQp/MRgrMS7WI/gqNFAOAONEAA6IYo5KMYBtMUzjgSIYEsaoMr67YVKJMpSZUQN7Bl%20HUAAH1hheUc2fyF4L/mQktIk8tMVU7RvzNFrzbEQHoB7XPM11KMTPuM0g5OR6/JqM2cS94hkJiEQ%206YB9C6Eq0wiRA0EAbLIi/sNqUBEsQ8cv5yJ+VHcmC9OJv6IQp4E3TVJPeKNu7dISceQBBBCUU+Iq%20ObETK9ABuROEfjYPn+lrJ7GAqNiAQwEWyHIDqKUD6eAPRBAon5kaoUkD/kMBglQMIOA8PLECImBE%20PGFEsAQSlRJ285JGOgMCLyAQxGKOlP+SDqsTD8kyiRCQACmQDP2kiA5DaKdHALapd0xRlSRxEDJB%20A+GWDFBJEPwSaFlBjgbwNTAkbBAQD+nQJL2iLHKxbgFTDTXJjQ4TdwWRGoKhMG7UK66zFbqhFGVT%20DezpfQ3AD5b0MkEDACnEAtUgNs+hAMkAiUmxEuimEYWZkyRBAAgmnP+whAQxKfl2A2wyF9VAAfPw%20UC0hOOkJAv7jlH/RiYvhPx1gDGpSDKFCKVWHNB4wATCRGhCQD2wSljDzMgHZAGdXDA/VktjwChXg%20hfzmYg8QZxJoRBCwYwqgHNdYg6PIgKXYm3sWWmj1UClgDATgDiggmyyAAslATfqlA9X/5332twL0%20NVH/IAI8sGMmRwRVVgEioAIooAAU0HkwAG1p1kavkA+B9ALJMAPwpwLGMA+30QEcVg2bGjsAUA0p%20wFj7gALFQAH5AANplwIgIJ24YFcoxZj1OYPiJG/Bop+TJkxRIAItKasekADFICEdwCYKxA+iFH8J%20wA8KdEDB9QLY0DwKADu2JUnHEwUZoANhZgBeVAG76g6iRAAwYJsg4A67QwQVsA/JlAzVsBIGhALu%20UA0rkA4TQADYcFY68ApRsAJSpVUdYABTuaPdpnDwYQAM0AH/SgAp4AvJwAAgUC8JmBE1KmsiwQ8u%20hGD5EHYwgCP2V3+Vx1gKgAIzoEAG/xBPVAoCKZBf2loO2fQKq6kCYVZgMJABBmByrvcCKgC0pBR5%20i9QBopAMLyACajoQIJBW1YACxnAbLKYD0eSv1QCvGfdWIEAB1fQA2KCzVpIpXRVZ7PlSMCCo1bAM%20JqB/MFAM/EOS82KSHsGbfIosu9UPxSUKPPBC+1AOEsUDLHC2i8YDKIBTOgBqImBO5dB+HUBx+8AD%20OoYLuJBLPJBP71Rg0sV6KVAOJjAD4sZhJpcPPGAAAFBL+IR6JgBf/bBQNTYDb5a5rycCp4sCDwdk%205lQMeTYU9mmVXTEPCeALnapTaSUA1XBPBeZMGQcD2EBSUHtb5eBp5aC5AsELPOBCj//Iui9VTDrA%20AMuUDIoGTNPFSw/wCikQWuUgAr67DLtxuSaAC5erWYNkSw+3tK8wVNHlVsbwChxUVssEiYOESJAK%20AibQTizwXSzQSyiQUyhAEBAob3AoW/hYEjcgADrwD6E6AyfFS8tgDBS3evnEYTDQViyAC2iLCx5H%20Af1AqW+luMZwv8mwTSZQTeUwX+LWRMrVS6uVAjOQV9hAtyLAD+arTofUR/XEQRwkCq9QYjOAcGnG%20AkRsuo7EAykAOP8wAcJFA9L3cDqbVyxgTsDqC7zAICOLEbp5kn5LE2yDFfOwDMswqbhwasdWDnbc%20bRBQDQLgCzOwDDegADpQXSugA6j/VU0TlQzhJkt0S6XugEhSpgMJwAIzULrFAGK4kKjMJloJEA/Y%20gFf5wA9X+wI4xk2iMCmA3Gatl1rlsA/uGmL4BVHlUA0wIAD9oDlHUbwZESwtUw2+cCf7EMgwIEuI%20610CkA45jGDGELHe9QAdQG2XdYIVhwv/1UVpq1MJVsUgt0/JIAD78ADJMFVZlQzMfLgvIHAscMy8%205AvGYFugVsn7gE3LkA/LAF0WJwL58GxmNQM8IQL7cHK8kAzlAAITEMGfJwAiwLuiwDVvWDgabJgl%20QQQ19A8EbEUuxMe8kA/7kA5AFUwsUAEQgIImkACjVWOI9A/JkALZ5mwmgAK3EVaI/zUDZLUM3RZI%20vIALLobJzkYrUcBR8WwMNs0LFmfU/eB1mKwCrZUPXMRwKuC1s/tLHVUBvrDOEEAE+UQBsysAtJRS%20RTwBy4ZduJAAfCcSb9y3eyrHEIkyzaZPOL1a1ZVaIPDR+zDOl2UMvFrMelViCfXHypxd2FYMUZBd%20rbVYXpUCcxWqL1Rl0rVTBVZdFTzN4MVRLCBIBPDSr7APb91MivxYMzBaV4YCRGw7xxpObVwRSdUp%20FWACszdVLBAFM6DGr/AKy6ACKzBwo50A84BYr4e6+bB6KwAAK3xWxrBdCgDSskxq2vXAqGUAnHbZ%200YVYKOAo0vUArgpmjYVjRmoA+f+sAliVyViVD17bVsJVXM77ZqAzzSLAwPyaDviMbTMAyGR2U7nB%20y1aZwUdmoyIBAJ6VphFF1J4NAo4ocPsAZ4u1ApeVWFzl1QIgSNUQ2M/7vuVMP6GtAji9DFyVcUKF%20uoNcVsDVXF7Eu47EYfr3P8yGU/fMC+NMcqK3DHftW6JgDCnwAGbiIAqWDFc2AwYQ4fMkYlFW4yYQ%20QnqWp7u51vYoE50DABMAUtDGRyZQxjvFAi9QxLzAzzHVepwmACBwqKc2SEbdRNK3TDCgqlZ0UAym%20qssEAtoUUzomTav1AC8kLTTVQ80lAs6xD48V1VE9uSaAcJ1GUyzAwCZQDNpFlcj/mtoW4W/90AAq%200Etd5MLwbNRDhQLVkGozLrk07Qv7sMLuRAAo6wsJxwtRYFO+gHCrZ0IxLW6khUi+0Fw0HlHQhMwk%20bQy9JGI93CQocM9ei7qplsmoy9kHHlMpRc61cwP+AEzgtgwr8FWdFcjBlFY6ACnldREli1EYsZQc%20NF3LUEyOXA7qOAOFjU/6BO69CkzS3FAP7igPgGPxi2jlUGCux8MNZQwZV7n3vrC2neXVRU8KUF3x%20HsgVfMksUGbt/HCisOvHRMUAxWPZWwzGkJ3blFw87l++UH4kJQAWR2l3itZGDsdInhK+GYqDhA0E%20AAGylA67jM7J/Q/p0AF3sgLF/5CgPVm2XhJfRsQeCYACECRA8bBZSTIBnQQA9UJ9/wBi2Vun6QCt%20ANIBXgxIjJRDkDIBBmAAK2A/FTABi9RG6PwnyQBBlzQvclQUvpwRLwEtXqMCMEAB6fBxXgQD+ZBJ%20DECt+XCtUb30E9ABOlANChBIItAS1WAMDDBURHBGgvqxURAPx0QEGst4xvAP2sRJ1QBaWoUCcdsS%206qkDD2QMMDQv0ocNUVAN8L2yRMQAUpe1+YANZyZWr3BASquOgHQDDODSBHBbiyQC6zl0GCzR+22y%20IwFaFFBCy2yl7MEgVM9I6QBCKQIBHRA7wT8BRoQicdUkAuQBJF0BZVIM8TAPTf9SDdhgW46lAo8C%20ACIA/denKlN7JzeUGn+UADewkueaDgrwAnFkJRXwsQAASPwwARMAEAr+/Uvwyh3BfgqqMUjnIVkH%20AgkMVMvwD8BAjBk1btzYz+K/F+k0+vvHDwIDgRxVrmTpr99Lkh8hQKABwoAHCP0gWOzngWS8fyn9%20NSh5cee/eDs9zBvIj+jFkkAvAmjA9F8/AMl46UhAICXTozT+Ef1X0cNAgRlInoUAgF8Go/2A/iOQ%20kQhLvHlXeqQw4SRUvSz58RsIYOpZGgaWdcAokCzVqRfFYuS3lvA/q1OPps3Q7/LZgTdmlNuXIOZO%20txmOZtx5tKLFiykTWiTZurD/B6z/QCuoPZDAUbL+fAIAHbjlVYsUiFDgXbKpcbw3LhNIgQ1pzHk7%20/VUEkBIucgB3TVqcfDEm3YG2b6T9B0HEg30UrjYHoDb06rb/aIDdKbWfP8OYsi+99jCDTazOPGpN%20uJKOgoCfebqDjiWPLgpppAZRmnDDf/zxECOPBvLgrowAYIoofjw6a57JaEMuIwUAW9CjivDzZ6f1%20KrhhoHhies0qAXULsUSN5hqrwxAns4pDJvnyiwHAmBxoSMMw8qC+dHZqcaqP+AFgJsLgags/iwgw%20qr0qC9PNPBqMmqCDFdprwDa0QkywgRCH0w9A7ICCALQGfCqwvZQAiCm3gdrE/0wnwgCUEsMKlWOO%20pMsue3TKsYiiiazVYhtoLQIzarEssc6Kx6o//yERKkMx8yo9E0P0EiOSuKR1NY3IUtCitywq7qLX%20BCquPZg6vFSjCkESKSNKT0rp2AmrKgy1KBXtsCIGO1PNo1JXI0Kgy2LCLajQEv1PzS7jAaCf12jl%20Dqwr3WpvxwZDnVI7aKFz8q9jY/qww2dDFChWwgw1D7C6rKKBxHZ9Hei1FS66sqxPBczP2NAUIKtQ%20jC5OM9EXNTqToI4vakAgsaJsashBHyUp0uWaqxRaBUDrScYpzcsZzewKm4ckpi5bzVGML2LXOYzE%20OumGg9Z9cd2LjGwUzfbAJP+pgTBRHPguku66KEXnfi1wpwbkhTbZC5nN8Nl88XLpshDxNZokui9i%20CipsdxII1PHaopG1snaaDTanbX3aH44nO09nGmJKOb3XcG0br32h7LcwlvWzV2FMZayoosGfPewq%20qBw0VqAY0RtLaeICTCGKv1s96jLuxKrMTy57S7VVTCn+7qq5jF43cyZfTi5mSp/Ld5523bosJUE5%20FRW1f4kb6O7CHJW4TQjU/WcCiqsRxQAQFPALqTEBMHNncjVX07D/coOAu4rY5gd1wl5qr7ICAbP0%20UrQti1ZrY9a5noO3j/QEREaaXAPzAhizNc8jxHOgA72Uog9VTmUV5GBedpL/jHyk4CT5YIwKVFCB%20BORDBPHAhijKYQAUGGMCBpych2xow8mBCXMfuYrxACApmSmvg0NkFgVEIQBR7KMD2HiAMQDAgnI8%20AAUowMYMlmEAGJhgBitQAS9EgBzJEZGIAcSQSTTEw97xsDYGZBcFxchBCMzDUrMqyf/eOMZ/9IVf%20d+QjRgDgQhOoYBkm4EU+eIALEURBAA+AgQBwYYIOvMIEywAbrTa4oRtm8lNeMltg/DGYEjltSsWC%202aSQZsc+NrADJmAlLvKxDF5o8QH58IUO9mEAHTzgFQLwxQOSgQJfCIAp20nlEMmoNjOyjXQYdA7T%20QjSBCjAsfy+hZjWteU1s/2ZTm9vk5jVL4sY0Da+b4yRnObPpFn/NSoPF5KMHZiACFQigHKLghQp8%20IQqb7OMBvGABCGYAAhjgYhkgYma/MonDnLnRbRmh4yaNVcogIo2dDazGPlLwihnMwAQpEMUyBGBE%20jIIgl6/YBwr2YQwUiOIBgBnWRPN1zAEm04+dxIq6krGPZGSgAjowBr06hEqXSsklLzHM7woYVJeR%20Mo9PuiRSJycKGLDgAZM0RjXkKYBlPEClLIDBA2bgSB2sIHVIgtZBPfSf8zzqYx1i1UOPZ8qZObVf%20HRBFPl6hA6n6ggUi8IVG88GLZfgCFyyYQTJEoQNc7JMBB8GYXAH4kbTF1P9ZA2lATFrHowZUwxfL%20yEAyysGCipTHnKMlbWn1hy6LZCd/8jJta117LgB9bJ2ObaBAeHFIEUjyFdXgRTnwigte+LMcvkjB%20InVQjChIranQMSulPrZcjsDWSx7xkCi95EMgJk+itGVSFFKAUmMkAwS6XAFi36kCFMyABa8wRiTT%20qwMVgEAEouSulGD6KQLSigHGYAEKosCrf+SDBf9gAAuWwYDAEUDBC2Zwgx38YAhHWMIThnA6iECD%20iIhVAUS4wbeIoOAbUFjEIyYxiYkwrtnWt6z/mAE+gwKDZDQAGyDIwA1EAAIA7NcACuiAARhggCwJ%208VLN3QjRjANKP6IxPdj/Rd4pVcwkD9wAKzGaBwEq0J4oQMAfcnSHAm4wpxjRwMI3AN+onqwvyAoQ%20vzKd0gSKwct9qAA38ZhACvIhEWwI4ItIYcALVvBnQAda0IMmdKENfWhEDzoeCo5HlAnw5RWkYwIh%20XsEEEn1pTGf60JZW8AoIQAPBLXWPZ75UAoxhALMZZWCUpRXWnja/fDU3J4Xh3YZ0crHJfLokTIar%20kEmtl9w0dB5EeZlkQIQRsvy6SWku42Q7tgIGLLEDKHuFKFhQDBjoQBQH0RL4lK2XZKjAABkgAjaM%20kYEJuGMCDfs2ZSgDmBS3e0M0mVKPZoc9LVdJy2llq0EPmgAizEQBCmC3/wfR8uM4fc/LyUBwBt8a%20UaDKO5Qvqw1Ylnwoi6BGaP/YUcQlfmwLqdlYbCaQMWaQD3r/0AAUqEYxOsAcqET54yt5BSwJfFhs%20DHIF+Sn4zDGlR8uNJEREmUux3t1H1Gi5Qk/BGXQayjJRQhc6Z5FXVBlj1TsrlCOvoWsx6CUAY4BA%20AFFoU/6SowAK+NSPmTvaTNqnHXR+ikv9uJtt8AYVjzTU52LUn8mq1m8lF5mHCRB5s87IJZKqoETa%20ERRlMLx3kTVABDMgQgVEod58PIAC/IN8R0QNJZik1QM96hivCtqh5qZe9auPCQhUQAEP7BcbeAsO%206204x1b5S+62X/1Ujv9GhMTyhgLj/SLvP1QRFPh2INUwAQxGwxjnRArtKHLJmUwyJwrifTApegkn%20VYNa/Rh7gI4yfvnNf370o59/Q+sfXKZZTRvaKh1XRqazXUKSrs4gLVABpWH8rxNlgrw6w7Eb2Ade%20gIFqyAcEW5TOy4h1Gioaggoa6IcbgIr7Y6eF4YWV+odi0AFeWECqgY6jiC0aGqB8wTsFyAcB6ADi%20YIB9CLrA+I4XeAUWeIF/QCwVqAYahADpAA/moAAaoKOpKbLN0A18MUGZwAwUgAEiMAwR6IAKODXh%20acBUoroqUbvAO7rLSAcbrL8zAo0EsCUYYArPSA8t24gqo8L2YAFIijb/NsQGCkiBDqgVNfw5pqIV%20ajKeCCmy0OsjfkiAffiooGCAB4ASVuE3yoEfuQM8RJSS8bCIDDAAFmCBBpiAfCgGJskx5zOGCtgH%20QjKAV+CFjvNBtKvAtkKKslGJdjmtT7Es0lmBFMCFDuCH99CBKhKACow+qatDKfkYekM2AxkJHMq7%20kqgA+pOsM0KaLJqBSsKLBki4BiSCYmCBX0IBA1ABBSCAZEiAXfy4eCuR4CCAapAOtHobQ0k/9Pue%20ZEgBrvgHGHAi3SgK1OM9waCbVkTHmHgLwiACY6iraTSBfJCP8uuQk5iB+MpBFSgGY9gHEAAfs/sh%20tNsb8mgsrLgYwogH/xC4MsmhpsApCwBIh33AxBnwhXxQCF6Axo7ER5VcSZZUPR5SAGyAgbqAABQQ%20gQkIr7k4q+1Lso8svPzSGwNIpA5AgbLzGOfhPh5Uw4tYgQSItIs5iiVRQw2KO5EhCUDch/9CqgxY%20ARhYBhjoABgoB2OgOp6YkJcZOAUZqyFSCGyoiWp4QhIxDsB4AQWoAOjjMzR5yB+0Hf/rmFXctX6I%20AkYyqvPACu2BAAKIsxsUAB2ggCgQBQpYDVbkRQ4ytQcoBggwgI3qRAFIAKGjro/4SM/0wpQgDJr0%20BROIM1SiijmiAZSEPIkpvVMxHV6cSkuJLTWhAC0aTeKYTROZB+AMTv/hHE7iLE7jDE5VyQcdqAaR%204qkKUIDsALPjLM45YQAYmwcFACgGaIuq6J7p/M7g5MGdIDexiBAEo4l+mADwFM544If1KJMjIZG7%200cuIhA2MSAA7QwH5EBljMAFj6JiByw4PoAHumYkKgIFCMrcjUgEW4IUo+DSNmYnfXE8KrVALvVAM%20nU4FaJPYWwYRoIHkU4EEEAEBqIaZmImlaIAG2I/QTAefJLmpcAeXU4DpojUAKAYDSICjkDkq1Blw%20YRXQ+JI61KDzuBEaUIA4yYB4qIZyEABMhAAiSABjTIAJSAArvVIszVIt3VIuxdJ0EKsGiIIOsNIX%20uIH5S4euoIAu3VL/M1WBwUI7XsCFV6iAFagASUPTNc1TK50AS3uBCoiICqhSAkBTM61SPcVS5UDT%20dKABNS3TtOPCBKBP5eihgUgAGFApUUCBusg4f6iAOIUBAJyAF3AHKpXSO2WA5dABEtKBDsiHr2SB%2016s0FJqA+TtUW71VXM1VXc1TWkUhphEAFriBfJinYqAAXniFSuNTLF0BIgCbfjDGZjsjkqifJVMe%209ckHSBqbGzgAB+iHVfiFX5gCDViEKhiCIUCAIViCcdCAJ4iACBACBPgHbwgBNrADDRiHcUCAEHCA%20AwgBfQ2BJfiAGIgBPOgCDVgCbu0CIFCCD1iCJXCAD/gAf4CHOmAG/yUYAjZw1344ABk4gHE41xBA%20A3Vdh1agAhlwgI8VgggIgQ9wAAdYBA0QAiEYAjSI2CGwgy4wWA24WARA13FAWXhYBHzFV32VWSGw%20BiUYB3qoApm1hg+ghyWgB3JVAn19AjYgWJVNV251WXz9gHP9V+QAuiq5jGrQAV/Yhy9SiBmop5jg%20sE/6B3U11zEYgyFghimQBa51AC3QghO4WTzAgymQVzToh4HtAjvQBm04gzNAgxPgB22IgS7wh8Gl%202yEYBjt4Ajuwg2EYBgio2ZrNgHmwVzZ4h3FYgkWAB4d1AIc9gSvgAxEIhUUggmU4BnNQgmGogw04%20g2tYAi04gw0YBv/E/VslWISl5YcqCAJ/sAbMtQW3eIIn0AY0GAINmF4NqAN00ADgHQK6tYaBnYIY%20mIJQ0IAuEIcn6AJb8N7p3YANQAN+sNd3sIV+GAP1tQP+KaUdORQI8NNoe1D8AoAKGNYZGAh+pQJ6%20UIInKNoQGAIFGIeGHQcw+IIx8AYNkIcpAIQY0ABrEIchUAJAmALERYM0+N4pSAOprQIT9gd91QZ4%20gIc0COE0WAQEMAQhSOA0AARB2IAKroNzFQJDeAINqOApsIVDQIDvpYcVroNFSANmQIMQCAGZbeIQ%20sIZxBYQOBoQ06Ich0AYEsFdmWFp1ZWB/0IYhDgFDMAR0Bd5+QAP/bQDZnh0CLZsATjgFTnAGYeCF%20GQiGfMiFZODZEHiCGNgAWbBHwoisNXM20ICAYhCB0STIy4gHIwIB51CABDiAA7AqblgGHJCHbqAH%20c9UETXBZeDAHV6ADLzAENPAGL/ACIJCGjmWDQ6Bka2hiIXCAKvjeOZiDTTgHSgYCc0CHcziHcTiH%20INiGDFACJUAHaRiGjEUEEFAGZfCDAzgEQwgBfjgAZ1AGblAFF8DXQ4gAOhCCbZABGZAHafACRLAG%20bQiCazgENlDYUAiFYbCGMraGaxDnRcCEBRBnB9AGlX1XNjBecXZXaCiGXpDapQUANkAEc/5bb36C%20caBkfuVWbziE/0vQhBkO2ztEDgXINmMQsC5kgY9q2xt424A11zWuW/VVV5TdWzvwW8BNY29AA4Lt%20gotFg9xFgzFYgiEg2H9gX8cdAsy9XB9Wgn+I2Jr9ByXI3CdIV9O9V4d12HHIA13AhU3QgGpggS+w%20A2YYBiXI3dJV3A3oAjSQ6Qumh9I1Xp02V3v1B2a42SHwhw2mXuq9WLpd44H9XhyOATtA1wseWPFV%20X8cdhuvVgH7Qhg3Ag4vlNTPTjxR4ABaYSYn0hxvAhmoYiIfFhCpQgnf41wT2hw8I5msw1yH4gCSe%20Au+9WHPVgDSYgsHwBw246xhYBHI14X/oWZeA2RaOgYuV5SFYBP9AkIUOvmAEll7THlh0XW2YVQLX%20NmZ+QGAolmINoOIR1gC4Fu3pNeEq6FrJBdkmRgDMfesh6Ad07dkM9pAb0IUtmIZicIZe6IUOEAZi%20kAd2ZYMt7gL1FWRlidZnGRNsXQbFcRp/wLAZKAa3oIEXYIBLgIYBwAIMwIABaAMjwAdY6IN8RgUg%206AZMoAJY+IYFuIAF+AYqWAEqoIJviAYj+ARkQIVP+AQSIIFPWIdv+IZJuAF8KPFsQIZsUIdo2IZo%20WAEjIAFLIIRPcAcZPwdY+IMG/wMXQAVXcAUw6IMdaHAHd4ZowIdtYAcO/zNkMIIJWIcFWIBzmAAj%20QAVUQAYv93L/dWCFVDYCc7iETxhzSZOBBZgEGYgHN39zI5CBAEByLNgBSxhzfJiESYjxM++DL/0E%20VlCHT1CHir6EFdjWccDov0CNZv2HaoABRUafEPsXtyWMmi3fnO2CGEAHlb6GcdDcLLYDY2bYiP0A%20JeiHlobrse6Hd/gANHBt9QUAWx+DgUVtl1gCJagDY/ZsfxAHcZB1Dylu3WaGXfAoaNiFs60Amm3Y%20iP1ZJdjZ8OYHcx2HICjd3YXcnEXX7faHtW51b/gAfggCLA7fllZnfN3d0M7c0X7YJQgCzvOQDziB%20E1iC/xh2H4wZ5xgPfgBpryuZovGMCkYGbQjjp74Gyt3pOniG/3WY+FWg2mme2SGAC3MNWGO+3J71%202Yi9dg1o4rceV7hG1yH4iG0fB88Q2dQdBzVG3CBQ4UWQXHTlB3gY14FdbSDGdn9tY6TukK91Yuld%20BN2Ga22wBrTC4nM1100IBRv23r3u2XTIhl6oBUzoBn8IATDobgBhBhhGAPwm5JFzNhcBgX1ggYtB%20Ni66TKP4FgQwAAZvcEhwhr3m2j4Ih3Bog0VQAm/g146tAha2BXqQB3Hw7idABRCwB0uA16F1gLEe%20ZnQYhs1O5wbwBgRIaDZggyH42WvQBynHAEqwh0awgC3gBAb/gR+wglaAWDS4Bn5dis1nhirQ52sw%20BzYAAiBY2v+THYMZjgBzsIPN19dLyABrJgZ9YIAD7lk7kIEob3BHOAKrfWWUbQAZyO4qWAJ/OGBz%20VV5rYOefdQBJN8SMmIBcSgGRAAzSU5WRJozKwNlQN9iH5VpzjV571YB4uIbd/QCkBoh3dob0Q4PG%203xB+2j6g27ABwAd20/CEsnPIn79tH5RAgKfEH5p+CBEe/IdnSowY0pS0WxZFhIpmLKC9QxPk2okP%20efL0UzLMXxBt2oZouzbOwbUPMbowtTbEX78hQzRo+Pjh6tUgBzV0GbjE6LhxSz4MseP1my6xGAFk%20ANBPW55pJ9D8e/fxX79/ACgQoXADAD+88/pBSFEuHxF/EGj/6P0HIR6Af46nhELGr1+QJZrHSXWK%20B1i+YM2opZiAAEGIEAj88eNH9KoSJXaenEaAZuyHRbZshRDyVMki106HSP4n9cOSfsqRix0rNaG/%202Mal/ltENUaaKVMAAUqpZIhqBE7bfhxyWogQbUrSpIHnb3hIhK6lmhPxqMWjR4OeHJIqolkzheiw%20TAKoCaHaEMwwo8Rp/vzjYGAvpFOcZBBCwIACkikAAATVsMCCMQQA4GCF8xAAgzHuSMaPB/EgYgkW%20GPzwgxXBHEEIDQ5csAMkVuxwwVUOCOnAE0VqoNkQQiBCAhMYYDDAEamFcMABnEWASFin9eaPBrZo%20gAiY1jhw/4ADo8g4oyOlWGDBFmbO+AMkUaR2m5AhsAGmEmMeUIV1ZtlxVXMfyNOLH50sgcCVISxy%20wQAx7iADal8cUYgVb1rRSAS+UamWP1QqIUQEEQxRRRUOiBSdkHj9Q8EEF0b2zzwAcGhMPlHkBQEE%20gD0oGRE3sPbPVUM8MccceGigzRLjRDPLNtqMkdI/ty2xzTMKOJAsGh9QFZIWWviTgRIxOKRZMsQw%20Mk5smmW2AQ6DyPLBNZkpwcxzQzjURZF24IHHGNGQ0IU5HviD3FgO1AOMN1jFNhQyu7gTxDj94DFH%20FyGMgQY/GPmj3QdhjaNBBTd8oNUGZ4SizTgntELFOOdAzP/UBw7g0EQ0mn3ATFVKaNCBMasE8QEE%20GKm6V18ZFhcZACk8AEM8xQX2KgSSZRCDLGCc1gcXWXNxDgIHilNPGTmIXQQX6IGaxiLfRUDHImmD%20J6WUCAyhhHYPajfFIqkh8I8ggmAyhit0iIcaLJ0Y3okLYBiC3gG11LLKCl+AYfaBxMUWHXeLdI1e%20CEPklsZ3qNERgQZTbACIBiChAUgWrZ8QBD0yVNEHGRzkcM89Ixy1hAMj3JNDEbdzEUNvQmjSOj3X%200EGHgxD+IyGFu/JzodHFoWACLjOsIFk/GVfYFvcA0JDOizHOaIUY5KiRgjA7WGFFj0nQw/uQCBi5%20yDjWKNn/yB8/OFkKEBg3pi80ohHrOIBq0KOzUITCC4gQAgKopItIvOkHHLCEK1whBBf84UxWYAE4%20hNCPozigNw/UAJUcUAV+aCBfMQvLB2ggDFVAAhK6QE8EFPUGK2DAClgIhj3Up4ZHVOp84XjgEKh0%20gCWwhkr96E0EnlCLJPQCFkr4Bz/IpCpWuYoxkomMDsqxjwrkKi8V4pWvAoMGRhxCX8V6whg0owt9%20UEBuKQHAWJbgoXM4ADkf4JIG+IEGWpwhWuEalwOSYQwJOEAJ79CMZvZQj3rsATkQUwI6pHICMGwA%20D12xwzAoRhQgVCUet8nMEqbxiF2sYBzZWtgQftEMEIxj/2QbKJZq0MCOhWxsCv9I1jgIYIxqZMUh%20GhjCOCRQiEGERTNUgdcgmjCBzIyjDrZQQAKqAYxH/IIfQBNaXohGAcbIyow0UJoOiIDFx9AgQxCg%20AAEkEwNAgCEErNCHFPK5A2yARwhGaEEOfOADOUihbDjUJjamUYBAwMNtBoKbNRBAtykAQAncSYMG%20UGONFSTBD48QQQkKMISIGkIYyuAASqnxhdQI4RnByEczXpECT4QqU52LTmwsCggGhQo9C1kE6J4I%20huWZAxCyQJ0/tNGBjvohCbpYAp/GsQ4pcEAORbiHFA4wiW84o3Y5sOoauLABzumio8LQRwmYJ73n%20TYhCFv/CEIVoUAwTlMMXL1iR9yg0veIQQQNZGMX7rKAMWBDiCPZIwQA8uAMvFK8sV+rCIoQUKkQU%20ooID8MMkTpCaljhpBwvYnBAcwIUd7CAJ0hjCGHQxCk6YokfvS0IXDnSABbgPfvsgRylCiACx0EMe%20bCjSapaggTS4IAB++CyoIrAERjnpSdMwhBGQ0Yom+c8KA6DGKyoRjU/korlYKMURGDukfqAnLD21%20gwua9AfPmoU2W2wVA14VGAVMIB8giEJx/NGAeezqH7361SZ6MYt+zIYompGFG2JBiwy8IyVY6UY0%20zbAHm2kLHQ5gxC5CkawYTEED0qACDsIQhljkxxjHyMT/NBhAix64wQwZcIBYqAKUanQgA0S58RCC%20MIRkdCAGGvvABmRhBjiIuB7EQAEMgAEMA7SjBk6Aw4SDwJQcj4MRLTDDVcYVFgfQIhZw2MASTrCv%20GNRBHm2wQRi0kLwTIKMd1cCGiGPRBE6IYRm54IUv7uAEJ4ThDEoIi4PCyRe/6AUCefEAjRmQjGrc%204B83WAYMWgUDFjAgaks4gOKgIYmwlaEMfsBHIDyRCmXIIaBl4MAjJBcCQayhDIo4dSHoAYDnoCM7%20i/jH4IYAiFqAAxrV6MUXkiuOTri60xzoBWrEUw8OCDQHZGCF2X5BhlffbgRIxUh20hADqVBFCfR4%20Rita/9EGP9QCEGjzhzo8AYx6jGAEnQBECAyhiUKUAXf3CMYNzIIKbEiBDD4AHhkSoYdb3IIDayjC%20VXMghVZYbQJSKHYZpCCP5mGRrdF7q9EyIJkKoKAYMBiRSJzGoQdFph80mEAdFtWoAbhgHKASgjp2%20cKYnHeFAonoCIQjxCXmUKlSEaEYFsaAMMXBiCyVIhQl6aAUX6C9TWagtJIgBDhSIYRSwoMEbsGAF%20DghCGiEAwzgO4IIBOMIRn/BCOBIRDkOMYxLC6MUvgIAg4bZBGfATxiVARYcgBICHM4IEJ8hxChYs%20w3xOUkYfxPKBLtijg1Zggj0ScQRDDOkDQqCDea8EhP8dOgkLvUCHWfaWFy7GF1dRk8w+TICYBjgm%20v2j8VS2CgY0PFPgQEpjGINzQg1ioQAe5yMU+TLGMfNRjEPXAQTqMIlwNXCMPzUBGsiiDDR3wIg5h%20QEIT4qAKX/Ch+w+4Qw/CDwNdMOIatvAxEZB8iH6IQyraQENCjEGMGIhkAgZ4RBy40QQkICEOD3iA%20CfiCKnADL9yB7j1CJczCvqBWMjXBICCHQ5CQA4RfD+yCLujCLiiZMXxUGDhBE+RCJEQCLnADLoiC%20DdTAHcSBLwiADgAI/rlBDdiAGbzDVQSaXgxaPFHICsAALwgALqBAA0DACugALhBAA/xfAuDFURhC%20CLj/QxMAjxzcQxOIgh7ogSlQg9jIgRxwgCoQXDj4gRyUgRz4AAdIQRZAgFQAwDuY28TVxhDUAjGc%20woDMAAwEQqgMARcogkCRYSugwhd8whf0m0BtYThsgdG1ALMpQqmNgCxowKugBEZJBUbxwzoYgzJc%20IiX4gSA0FAB0wClIgiQ4AgfAAT30xiH4wT0gHAdwgiKpwAzkgiQUwRgWgSSowRYcQTiQwVWtQSo6%20QheeAgpMmw8oQg68ASZQXIS0letND1xFT/RETdRARWMUx2OsAKkMAyoYARhcwxKYhxB4ARHNCBbw%20wgzYgyuECgFIgXUFwAJ8QAisSSJ0kJPkAit8wRZc/8EOmM8PCB04TE4EBIA8+tA+XAE4OMUTsII9%20iAAriEVY4E8GoAIJEAIbCAEaQMMppIIBvIGTDEAvvBwCDAMLNNcfVAIhNIIFpEJiyQgGYMEoHIFL%20HoH7/MH7vAE31okR2MMMJMECZEEUJII9eMM4XEAAJEEbLMEhhMqUyCON7AA62EkIvJertJ5eMEA1%20GAMKvEADgA+J4AUN3EBg9MOetYAI6ANrRQIp4AIUnKANxMEyBJ8AtGUcKNgdQAEBmoI+QEMFUMEu%20eNksHMM+AKAp6EAh8J8TXBky7IQzwIABusEdqMID8EEk6EDx4UD4ScA1HARzjMOK9QAcvMIy+IIJ%20qP9CHDRBPfBfD7QCPkzAL1TDIBTCCTpBHJiACfDCQGZCHjhDGNhANESDGQzCFYiBKZhgDEIBH5CC%20cXIDN6jCI9RAGMRBLnBCKgBDBhIDYQ7CudQBVZhDD9QAcw6CNHTMV96gAhAaP7xKPxCBCLwCNkyA%20ZLwTLxABEShNMfxDA1TBAnyBJkQBGQRUGErCMqRCILBDEnxVqRUBHJTAKdDVPYyhIpBBEmiCJlyC%20JrRBEqzBGowAGdQCAnyBIVwCNSgCiDpbGwRCIGBDEvzbQJHBAOJCOXBDHBTBHnIAN4CCCYACJDDb%20vxXBCGSBEAQCGAQCJnQDA2xD4ASCIXQDF/BiKub/jiDQQ9sYQDPooVX5gTqQqCdMm5RqX13NADXE%20okDljuKMQRX4jiwOlLtxwi3ggiNoYRkUwSM8AxEwxtNUQAVc3Do1ozNKTaEFzT9kCIvkRQbEAwGQ%20SgvdiVhoQ/G0wQD4DxY4QxScQiI0gisQg2v9wQVgA6QWQAE0CQb8QQtolNgl1oxgQCSkgPqUgt3J%20iA8JwwoYAgIMhEZ5Du/wSdpsTmp0zBfYwyk4QnPtAB0gQghYA3c1FwYogxqsSTK8QQfNCMuJxxN0%20gQvEyJNcAB7ViWp8wwJUwRJAgCUkQgr0wQ5BQhN8wyWEihf0gj76CAA8wYFAZXytU2S8wj7Iawok%20/+E/iAAMGMCKKMBf/AMBuIETSMFfRoIYXIEuCEMsOAFztgAV2IISIEcCtIAb0EKC1YMxmIJxzmY9%200MIdFOcMoEAesEMHEMP1FeYZaIAftUEP0MKKEYMuZAIn5MIASoITuAGd6cAMCIAYiEEkGGAPxAEu%20zKsB7IEs4EALFNkvLERK1EErhEEN6J4wOMMr6EAkQCY1XJ8A8AJy8oEpCN9rxgII7MQsmMEvAEML%20IEEY9MAUiMUtla2IucEgbMMS6AzTxkIP2IANAAMyXEV47sV4qtNWNkbU0MA85Eo1zEAy3IA7FMM+%20TIgMrMMXMEI17OcY5sAIZIMhaIOAdlqnkUHZ0P/BFxBDqQ0UB1CDAaiDNWgCMTiCKpLBIGjC4qgD%20MYAo6aoCKIDCLTiCGIoNNRwZCqBALsJojtoDOIDDEfSA8EYhB0gCOMRbCQCICryCGpSAkVJBJ+ii%20LBYBBygDNSwDzkqCHOjhPThCjQ6cIwgUMTYBMTjDBUyCM+zA7yjCPewAI4DBCWwDL3JuEXRCFlgD%20GPSCv83iI4wTf82pMp4RM1ZPnlKcB+iVGenFDYTFbNiPZtQJApjDLjSBJFgCG2hVELEAJLwJBsyA%20DmwBISACOjgDNTRDeIUWZ4xBIYQwjYyC8dqDPchcp66kC/gDetBDGqCGaoyJcDEFbcDQB1DJELD/%20ghhgwahigT0cwTEcAwskXf/8wA5AAyG4wj8cwA7xACSMwjmEQE19BiUUggEMQ9eIQ9gdQKjsFoxF%20gGEpA7EKwxiEgD3sgzI0itZhgR8owVhEzejB18jR5z9UQz7kQwqgQNQkwAPkgzT2aYb0Qy2UbD0Y%20ACOcAIxRge7pXi9UwVwchBnUgxtssizEAAHMwjRUwh1cnw3UAwUEwQn4wxLkQSYAAzEQAzCsAh7c%20hgLsZfjFQisEjTYgwy8kGHd27QfGgQ7w7AnWQCwwwBjUICNkAgvsAjHAADZsAxqggxJMs932QD08%20w1cwwu3VQyygrSmkwC78wiU/wy5w59MSQMeg/8EG7EEyVAIctIAwwMIH9MMUzEEUFEM99MArHMMs%20BAFVMAMF2AMIZCA2sEMGfEDfUsB4MkagaVwGdEAHvAoNMMA+CMDv5qwxSEaQEcE7tAE13IMucoAf%20VIFUAEIbeIInJIMIeAIYrE0I1MJVjeE9cAAunMIxdIAfkEGplcEa4ACoecIpUAKIKiIHFEIq9FoL%20FMEaWBUHGEpsVIEwcEDrPgMAOMUkYK9VlZ0opEAadMI91FtPr0OoYEInoGgOrAEHUIIqqIIASMKH%20KmIRBEMqGB02ELUWFkELSMOBIAAhPEIhkAEZSMEgLM/otEILXGAm9MLkgIo1FEIqXpUUCAIEaP8c%200qTDAUsP9eQphTTwBCQDDURNB0QBNPrDPCRAqTzBb7HB7iyB3tgB67BBCAiJFxCCCMjwjCxD8x4I%2070yCOQDBAyHJELSCI/jPAFxAP4XABUjrk8iAP2SKBmhObTTTInQBck/JtRzxAkiFMBTRPpIDObCA%20PthDd71JADjA6AyBjuzAYpMJFEUAZMkAPbhGg6xxG3eMy0VAO1ACsTpCKpyCAHhCHbjA+0yrPyzC%20wLirrEDIqzBAA5BIBTyAABgA0hDACgAAAYhAyZKiWFzDObSCnMUCifWCSAQBARjfHah4LJhBKEDE%20B5yAE/BfGNCCW8TLGkkAFVBBLVDBJuBBEAT/wQ20AmeG33r+jBKwC5/VQC84Q5BtgC2cQx6ImBP0%20ABUAABqcgFFcAyPswR68QDRkxjtoQB5UAov1QAs4wyT0c8y0ghvwH2pqQAwkyzMQA97ewR10wAkE%20+h7ggAqkQAvUQzCIwAmMwcQQACyYgRawQzRgMnYqARHUgTSEgjnQQBB09kSPpwK0hl40cAbwQjno%20QDwBABGAQDW8AAokQzEwhgecTjecdEqjFAe8gS28NCBcwhjIit7RgRBkAeUCjxQUgxrgAimI4hha%20lQoO3BU2tbPxqGq0Ae6EDUsvQlJcQxKgVCruQAXA3xD0ASVcu452wivgggDoolXJARkkQwmo/4EJ%20QIIYhm8ZDjkVYMIuSEJTs/QYLM8QPBynNUE2wI009I0gcEEoZAp6yIIgjIE1jME1oEaozFsq3o4U%20nMGvRAY/gLadJjBptydeFIMAqAABUAAvqABjNA2I97M/2AFVLAL9oEHXFI9sHcBVnIMcdxAWdABB%20UJOQKIEYZ8oTVIEGdAMw4GwrLIJUnIYDCIPWOYILaKsQWAOp1FLHZMZs/NafCEmykIlTTAMkyOMA%20WIIRnIs1gMMeM8EF2HYIIAtyXII1AAawIgAi1IvenEYVUAl67E3YHcg2UIO0/gAp6IMuXIIfy0Av%20KEMwRAE/+PFRSHiftqeuPEhq9wMI6IAxRP8GBFQABaxAFLhmgjUBCDAAK+ADMbeCM8CCM1QDA8wC%20K7RDm/0C7f9CB/yCGbRDNLBCJTzCQMfCK+gCK2yD7EcDPmxDN5B5AqiDOiRAArQD7qOCGazCBKhD%20OqjDKvhBPeyZPhTDL5D5HkhAJSSsG9QDCjDABLCCBDACO7ADIzDCCiRANqiD+5PzOmCCkE8AAagD%20KwCEug5NYoVx8qpDulXtKBgoVm8XMGAG1OHDhwpZtWnOnE1jpy4BMlT4vn2bdOIEgQQU3CWoEI0d%20I0b4XFbg96/fPwAUFFC4ASHnzX/zGOh4BeBf0pz+COj8B+EfoFDIPGCq5Aern2f+/NmJYWv/CBp/%20H/4NQRDCEBgVM3SIomYsjQd2X/yQkZOjyL1mnsAFgpVEkRw5HKSkGWKNyItCxFQYS/VlXJUPH9g5%2069PHWZtzk9F8S1YMBLFH7UJEKHBKUpm7g3OBOrULBxkyHMhI8uMBAtA21IoU4UCpl9kQCog1kSKl%20yaMb4xqMWzJuURp5i5Z8QMPvg4ZFQ4b8y8D9LCsYzR6paBYOzD9/TvulS5cU/np+EBgogH8fPlIF%206VTwotHhAR3icWqeFcYZ5wk7NNCgCnocGMefs4SYcMIDHLBunSQw+AEDLFjR5IQPHjzgAG8QiIAO%20RJ6oQgMlNDCnizSqeOIwTRw4IIA3XDhA/zIEEFikCueeG+eDJ55gows7xiFxiUluPASBb5TBAIM/%203ghBCOcQMOINJpjYcRw2QrDmmsnYQGAY4XwcQpMnfAxhzX5IxDIEf5ZwYEIEkrBiQwz0OQGBsLpp%20UIbpFpEnSBlw+oeCCehDqh8A1ksnHxGIUCqBFHgxJicAVkhAgRWScaOGEVr4RRNrhvhKgw+e+0AJ%20bfoZRoMp8PiqiyliiOGdIcaYpQU44GhBl2i8GWOYLqzRJohxZJEFHXHE0YafWqewtYt/tPFGHHP8%20aMEJJyoxYI8N5uiCEV2ccMONFjq4ZIgl0Bin2RMc0OAddOLRhNlz4NEgjTQA8OYQcd5BZv+QHtxw%20AgZohrHDRQ1swYPiLqQV55BQuuhnsiWr06aLYbRBwwEHTghCCSUAQCPlIMa45hptMsj3pk55ooAG%20oTJYL4oZHkhBAahwgmCepzJA6p8YAEFmEX9koIdHCz8weFd/OP4AAh+FCCEECqp5pg0G0qlDA1/9%20GMAHH/IygEIHpChDkXtoq0XV7rKQhwppAglhCRmIfA5IIOm1zoElvBkijSxoODGCIfzIQQ7VJCkk%20EEMU4GKE2X5L4gb1lGilkCJkk6IVbXzkJwtBVM9Cmslcj6wKeJxDI4jJFoGHK3/4UROBQza5QZp5%20DEFAPaf8SacC/OSjzz78nM+5mBT+YSD/n30YGKqBFyhghx0jjCCBhHXE/0YddViB5YIL+lDAiC8a%20lecFHW7hBQYZDjgBFhKQyeYbWCaZpBaroMI6ajEJdlSOBJZAxSFgwgowGMIIqDBCO55BhW9YJAG1%20MAMywOe9knxjFeDDxxfUoQlCuMILzlCGMoqBDFcQgh2zUIch1EGIT3wCFST4RPlYEY1olAQZ5hDf%20BRawgD5wbwLpeEEtxJeOFWTjE+2ogEnEAY1oOIMSVrACFrYQCE1wbxJQ9AL4dkiD6iyqUY9az1Oe%20IgATLOM9/yCAClKQjvX4gwbNOweJ6vAOHz3BCxTjBxqucQKKcQcPXegCAJZwpxP8QwOK//RVFtJA%20omv8w1xuCtTIcMKdIfijO7qzmnrQ4MnnKIEf2tDGE4BgBwSgYQm2qMODDjEEO7wDYmfYgHPOoEs7%20BAENdrADKAHAHTfBCQHeINEBPKkBimmgHyU7UFfMxZ0Y3GpXMXCl6brzAX+gIwYb2IB1hoEOBQ0S%20DxtQgu4WtZOeeAA+8/BHPGDgC1/kgwBFc4rQvOMdNIyBHYfLmo8C5UkEWCMI3oBOGq41hTTEY2uB%20YobSptCPIPRCGffwDRkIgSUhyIALX/hCIEgqBEMMIWV1gMdN1hkDXbnSo9Z4ggZi0KKtwWlB/yhN%20BKwxAsiljQxtMGfKWhGFF6iDAl+wRv9BhyGNQ2jiqfCIgTw0wBUEGAJOS0CZHT4pDlUFyh8pU4Ir%20EQAERWYTELqqwhCA6aol/OMmSEOe8uDKPOfdBwBIEYEvouAPA3RgHyBACgDSMQGYGcILqECFPOQh%20g0k8cAwnKOI5aDBDNEQDE3VI4B42IYM+3A8IqJCGNxxbKEwkLgsHOAcYwIAIEgBhBdEYgiEQGwEv%20mAMd3fgGPaKhCXl0IxShmAMJzHGJbpyjG9KYgxcuYY0x4IMOtlUAPRYAiC6c8FhgCIEXvIAI7noB%20CJfQBIi2MYltmMMcVJCBDIh4jmucYxs0oIc8MIEJBRBgge+IxyQIgI8T9OMcLtjBAAL/wIYIgGEb%201+gGAYaBCFSAVwFEKBMaHcUApNAgKQMqxj5esYJ/eHge+ozUfQdbspRZQ0xdoBga5oUGPMwhUF2o%20qaua5QB+KKELZUNcJR+EyQ0oK1D94MdYPOkPbeTOOknRBne0caOUjYEfT+gCG8KCMiUs4RrcEWaL%20etnIM2hhAxoYWZK6aksxiQkBdrIQeKzVqnHAzAHasIM4A5XNXU2Bq2YZAnZgFYMzzOED/YCYgvqB%20BnGCsmY6uRkRkIYUfhijHOUQgDsc7Q+kTYACGSDlGLbRD0sTFE6eNN1klrAIQDBUVx7w0VL/dS1q%20OWMHRVhDEaQADgrNFwFCiACKtqYN/7GispTiuJYGYJqnJ+wqFHbgGpwCBgDGDaETZSiDD3LAgTYQ%202xZKeAcol0pQa3QFHWdBwDsWlIYY+CMIBEVA7ZQwjG2DZ6lhTdkwfJRjGd/ZoevUxhg+4BynyPUF%20dJ1Pfe6KnwbswxfFQEF/XkEBpM3jUgW/q6YzABUIRLx4mra0xDnecY9/HOQhF7nyIvWOgMFj5DlJ%20o4WRskZsiEIALAg4G9nzDwUogJ0j1/nOed5zn/+c5+uxGRFw1nL1xCMBr4BBBzrHlXbqABcGcAoN%20fgJ05QEAAjQgwjkmQQQa7MzqPI9CCoxhjBSo4HqLGvI/MBx2t8fHKfxwj8DtynGkuP/DAOkwQDWi%20sAKk9YMGTRE50uDTAH9carBrfPviGb9z3eWV8CBXeYWRxo95UEAHAZrBC7CelDXm5OY5b/zoSV/6%20xQtd0USngdGTAk9Jeb7RDejADIyhzwYQASqR0h0/eN973/8e+L6HPAAyUHwACCVSGQj+8pnffODP%204wZEUEAFiEAAf0xgQLmByvGd333vf//3uYErTuZ6n+URnOP6xEnnlNcAwYc8JzqJAmieMgER3KAD%20xUiA6fnff7iLfPIeJR6EZgJYgBdUwBcYoO0iRSlsDueEwv8iUAInsHiGDmdqJv6SIq80UPGG4hVS%20ACqIIB0owIkmIAEmAAVTUAVXkAX/W3AFVoAAYvAFXxAFE+AEWxAHc1AHVzABbmAFYGAGQKUDWEAF%20JqAC4kEliGAHl5AJm5AFFSAeRskfKmDm4G7gmkfiHG2w1CNSXg8C2A/kFA8ARIAX9sGOMs8AUMAX%20jIEC29ANA9DC7iMd9oEHJK0C4k/9QO8B3ZAP+zDsUG8niA7nhiYDASD++EFSIkX2BCAFkKIBViAd%20CCDCboASK9ESLxETL5EINnETK5ETo28TFSATR5EUSxET4+Hy8qEcikEBksFn3GEFMkAlTJEWa9EW%20M5EGDO8mprAKPa+u0K/gDNEXIc/TcqIf3G/kIg4Rk0EUqgECTGAfOiABWEB6/NAa/wvO6XwODgcL%20aVYgCqqhGuKPBvLQAUXvGs8RHbGxnSiA6Igg/o7GHJOCH3LCAxTAGB4ABOCjHjWt8axGyHzRDZEi%206/KBDadHANiPH9MRr7ZQ7pLH/H4RCwvO0+Qx8h4P+kYOAvxB04gABl4hwnAhH+qoGJZBIdHR03In%20d1KOUSgPPhDReeKv8/QwHkuSJv0QENnRJ/4OPiouN4QxKaCiAjoAafxBFOGpeFASKZNSKbliHvvh%20JOPDHydyKaeSKquSK+yDCBhgGVRAARIAQNxh/DzPKseSLMtSDHVi7h7yCj0uI/sJJx5vPS5O5/yh%20aGDABEQgHaphBvZhBlBgGUiyJv/PESlVcuV80ikoEj4mwBiSRyYhMDAfsw1vkuhuQCevjvsywCg1%20sGjiAffergPRESkohReKARtQIB8EwMKgYj4g09HSYf/Usu4Kjp/gAwJ6Tx89TOSEZgwfAAVgAAQ6%20QAcYABtmQOogUzA/0+O28TDX6PX+oQH+AQbKoQMWJfQc0zivk/8kkye4USkgoDnxY0CcEz60TmiW%20wizLciKV5zzXEyW9AwLyjwJQoBpEoAOWop/YEz/XM67IL46sMDYL7mjigwCqZ/9ogC4jMjnzYx5E%208QUmgAa0zzuxU0KdEvUKk+OgggBmgBeiQD0AoAJ8ggBuUURHlERL1ERPFEVrMdH/3Ikn5EMeG/Ap%20Ik8g2agfilIDJSU/c1RHx1I9EBHrcmNHg7QsiU8j0bI/fXEtOQ4m52MFQOABYECfbmACzDIDKTLy%20oFJIs1RLt3QpPU/IFE857+o5k6IDTKAcYAARIeBDbyBEZ9BN3xRO41RO55RO69RO7xRP81RP95RO%20V/RmBlEodnHtkiIdjCEZnJMCRKA4/6Eer1RCH9XtgqICHNI/gVEiNbD1boAFiqFoACABXoATQ1VU%20QxUUby6PIuzmqi9EI2xUW9VVXxVWY1VWZ5VWa5VWU5USv64BLfSuIMVDWUAAUKB4CMBR5sE7hw9Z%20k1VZl5VZm9VZnxVao1Vap5Va/5/VT3sCUF9UJ17PH6KABXyhAyCgLZoCKgIvHnivWtNVXdd1+JwS%20XdkVXtm1eJRiUunOUp0nHj0ABlIgebJuBV4gBgNWYAdWYOE0YFcABUOUYBeWYRvWYR8WYiNWYieW%20YmVwBW6gASBlJR+F46LQ5hiAUm8OUkd29K61RcNSKI6vC2mAAkQhGW7AF3Ah7YYCYz1tyMAPZ3NW%20Z79vKXfWZ3/W9xpgHhjweI60eJJU4j6vHzwgAcpBFMAyrxogASCUaqsWKBCRJ4sPAo5m+ObDar8W%20bMNWbMeWbMvWbM+WarkWHneVJXsVP7bvJjbxKLmUbuvWbu3WZLN1/F7PC4cwHv96wi8boAFuwB0Y%20wB1q0ARtUHEXl3Eb13EfF3IjV3In93FrkHIvF3Mzl3FvjvjUIwGM9vwQ1Hkc01NUAAYoQB4h4P16%20blB71FFJtibD1HmE5l239R8ocVFgV3d/Lm9ddPyEIjwNwAReAf9gYB/2YTwJ4Fx9NF6b13mRlWuf%20V3qjVfwgpfwqVXTNbygxNet+8gtxFvLmETnvA2jL13zPF30hcPeMcWPjMGkTsjmJAAynl37r137v%20F1l7F2XvQ2gARAVEwDTzgQHiwRE7c3cdb3wfE/X4oV5h814lbh589fMyoB8wruce7zsP+DFlFz/+%20TigUjxJHSYNHOOT0N1CTIoL/X1Qj/2M/k4I8xfJuY7gq1VOGtzQ/dKKBsZfjRNhj3TIuqY6EgzhB%20eVVMM6xKb5cAnFI9apiJm7iGC86EtdVtxdMQ14PqjPKOnFiLt1hL1S4pKgAsHTh7O1gexxQAGE09%20QoWL15iN8bNH5/E+OBivYnQ84Vh+4SqBhRh2nZKP+TiKw/KurGZGhSYebsAo4ViPg1hSNK09KBVJ%20/9N5BmtMZ9MLVzeRNdhqOlCO8cMoca8fIjTC8LiPR5mUS9mUTxmVU1mVV5mVW9mVX3mV/9g672NM%20J2A6naKQhUboYJmXe9mXfxmYg7mPi0c101KHJS49IVD8Ns4DLPmSD9gf4WOT/7n3ds+OMkHPgp/5%20kmW54xQgBQQABoqHM2dTm0n4JhrSXscYPiIOZNkOG0Dg/UK4jeeZnqmyOZmXwji24OCpHyYgH3Dh%20luXI7wxRmAvaoA8aoV95Wbk5CwnAAKpHaO4rHpwyrxLaoi8aows6QIUuhx/5gd/2H5KBN/vBAO4J%20KgYkA7K5nCGV8ESJbfX5rjKzAmYgHyPlQ2OQTStWp3eap3vap396pxn6rgbEEFFABHRnHiagQdn0%20BYHaqZ8aqqPap6WPAdsDdCHS7pJCBXgATbEBF1hA0zonHiYgxMrarM8ardNardeardvard8aruNa%20ruc6HnDDAxoAKF7afUfXPv9ygwFYAAWwdk3blE8L27APG7ETW7HdlGGF2nk28hV8oRrUowGMcALk%2012IXW7M3m7M7O0+hcOPk7jWPOWn/wR1SAARoYAKSYR8OlVGrgQE0V7Znm7Zr27Zvm3JN0D1W4Fzz%20ea+hmAIMUFiT4o6PeKVH2LGd5+YewBdQt1yr7rgPWBjXg7BG26PV2YWruRgqoDdFoaYhYPoEV7zH%20m7zL27zPG73TW73Xm73b273fG74hNHp9+3WH5iYIAARAwD6weSaje3e1U29vwuJar9FoIB2SIeDg%20CeJ02b9hl7rJz5GPFpILTgE6ABsMwBjoqD/PuJ473MOZkvdO8vPat77xIwP/xpS/Z7nBHXwdBdF3%20ITBAPW8Xf1KfrlgeVXzFA3PjWo4K0zn9vPcGKIABViDi5iEDQiXHNXiadaIf5mFMxy/FkxyaW/xk%20T3gLiTknupfmRLE8jVvKabJzW06JfFzi4DYpEnIokMIDbuDD27ye72rJO1QDy9PmiKC/vxw7AfzF%20uRBpnlwg369GoVuJ8XyDt7CRyTwLdxFpelJoiAA3Cb0muzTO+dcooxzSIVXP97cBkeYGGAAqJgAE%20PD2NoZv33NzUufiGqxvRZfMn4ck6+3kFTl3WmxiZSZzVj9EYGbnO7/zSdZzKA5zmiu92Z0AU5Ggf%20liEK+EHT6pGce50mH1zV/8W44163UzRta9MX27Nd27c9+GqdiINRKVAvwnjd2Usy0084PBfFHXzh%20Af4hAXhBFDhUP1YgaCqOJ9EW3/Nd3/ed3/s9bPG6nYz5upXUO/Sp5bSQ7VC33HV8lOJ8Az01jix9%204SHz3LW189YjA1hbJwxgGXRAUgwcZCcAYYnVCUve5E8e5VNe5Vc+BSXR6fqhoyX8o80vPS0tA6Jg%20A3UiATKa53ve51E5r8BU17/9seWOF5YBG4DXPkp91pt+i7n5juJPARhgH+KhA3omH/LqC+n93v3d%20678e7MOe3xPtJirgqpH24xBRBwRgtNd84o1zyWd0Hl4u6yWFAPzOO39e7//3nu/ddR2xdc+VYtET%20QASCWwdm4FDX42/5MY/fngLJ/h/MftU7ztIgYBlwIeA+GQbjgfM73/M/H/RDX/RHn/RL3/RPH/VT%20X/VVX3D/1ut0kuihcimmERt0IgNuOkRZXvd3n/d73/dbUKj7gYJR+L5wBjwVgPEd/xwhX/KlvYQB%20wABEIXkAoAEogAI8G/uzX/s1W+QRNgEIwPDoOwufQlN14JBXgk1TVP3Xn/3b3/1H0bFzfnl+EsMC%203QMEue/zX/+DmfkBIt2/gQP9/eMHgYECggwJ+uvXz+BAflGWuQPwD0CCF/E6evwIMqTIkSRLmjyJ%20MqXKlSuJ0IhHQ4GCDAP/+/2jMCEhxoYDd/p7gUtUBX42b9z4J5Gn0qVMmzp9CjWq1KlUqxLk988m%20AAoKuBrEejBrTX4GbWZUYBZrg5lW27p9Czeu3IlisVYQyPBrwoVM+QEg6/BFMQIYATRoMDex4sWM%20p/oDLBanzqUQ/i0kIAJEgr+W+WaFCDq06NGkS5s+jTq16tWsW7smjVUrV69hw4JF6hcADQCV/WFc%20uJZm4+HEi8uNHfZuQ70Kmz6MSLAfv3i+/zXgN8+f9u3cu3v/Dj68+PHky5s/jx49T+2RczLYuXRe%20RocGidzglwG+8f38+ztFvlVXCnxFF3sF+TVfBiJUUNk/NBDRoE3pTUhh/4UWXoghecjZhZdDB+31%20VFL9AFBWZRBA8IJ/Kq443GOcMWSTZO8xdRQEO2XAnn0s7shjcQDONmBtYD3kYUYZ5MMDBcIF12OT%20Tla14T/K5fVhc03xVZhwPXkAwQpPfgnmUttFd5N7+jEE34liDRTTQWaFCWecdMkmIIG1LTfiPzeg%20wEsHSAFwQzoEyHQDEYYeimiiii7KaKOOPgpppJJOSmmlLoUFQAUVLFelZ0rtBIF8NzaYEQEZnopq%20qqpeyA9REI0Zo5l9kTqRTTomJWeuX/5Yp5BO+WPADH5alg4DFaywwgTKLstss84+C2200k5LbbXW%20XottthPQIB9WmXZYUP+nTTWYn57/NKjbiAnoyq5/ROFaU5mTKWWWWfrp2G6+PfJKG1i3jTlQb+6k%200IEHWNFwQzwQAcBwww4/DHHEEk9MccUWX4xxxhpvzBtNhaUDLlLi9nUuQfE0RBMEBOjLcmPvOmRT%20rPPyJF/JNg9k34i3tczzcPwG6W9BoEkEqgETSOSBArT2zDRcj83HD8icImRlU35RUBkARFSz8kAE%203LBq2GKPTfZDubU381I0NcBARlgpcEM/+ZVNd912T/iznVht9yp9ll1FBAHU+ZYbx4Yfjnjiii/e%20sMgY9SM1lVR7ylQy+4gg5QzG0MCPB//g23Toc8k841I7xaOCKA2Y1ab/6K4fJ1aA/RYoIoJyz5fn%20Wme+zvuv8/mTzqaSg+iUAvnwokMCHZjwCpvnKsB49NJPT/3GIwKQ322k797TTivMYMJRXucEQQYn%20no9++uqvz3777r8Pf/zyz09//ezn7eubWfHGEKn+wB2hiNxtgAQsG6YGErypEY8pKHoFDFRQrBns%20Y0YAYAAFjILBDGpwgxzsoAc/CMIQinCEJCyhCY1CgK8poAGV2Z7VaPCPDiyDCBnxAAWikIAEaGuH%20POyhD38IRGvhL2j660eooMeldCSMTTdokIF6B0WeFAaBKRpe1ShzAxXwggXueAEDBCACCPjGHQxI%20oRnPiMY0qnGNbGyj/xvfCMc4ynGOdLQPsgYFgZjJq3RKQRcFRLEurNxgBR6gAQRYgshEKnKRjGyk%20IvUoO6DRpScEucE+ZrCyFAigGjEDYE30F8VQUjJTwvPQ5JriOQUUQxSvAEHq9rEuE8WjerSspS2j%20hxuGaW+P3ENKWfpBBBQgxiBwY9hnXoPMZCpzmcxsZmpiByS95UU32GCBDkBAhAfwYgIlmweEPilK%20UWaAJrHRlAKvyBQiJCMBFBBBMqIwEMQogJvhrCeZXKgUf9mEnsSknD3tCclo5g8jNPEADFKQj2I0%20QAU6KMZCFJAOCggqWUGsqEUvilFtKYAG0hlIBapoygWazkT+gAAMp/+oJ/H983UA0N/T8LkU6byp%20OgqgYcycidOc6nSnzoRmr4J2rheJYBn7wEYFDKADAcAQAhOowATsc8KoSnWqVK2qVTm40Y7+I4FW%209GdDGkAim/kjA0Nq4kp55yp4wbSPA/FYWOyDoLPWM6A/nWRJe1KBGcwAG8Z4hQBg8A/PeYAInqNP%20AQ+L2AyNE3eRCyk6KeM4ex2ECF6SK++eiDY+SrGlvyNITfNkWVHSdXZ3imdlsMEABoAgGcXASGUQ%20VtjQvs4gGInaurralJp5wCzkmgdY4sbT4Ap3uD0VmgAz20uR1cxDNX0pcZ8L3ei+xqekxcpthGMQ%20CHgOIyf7RzyIoCX/2bI0I40N1ymdgpiA+ZIgDYgHPcXLM+jwZK1UMtfvMJKzncHXdaOVZG1ci7PA%20niu7BfFkRv7SqgQreMEMbrCDHwzhCEt4whSusIUtLDLrmhO3TCGnekt2o3l0jSqg/Qyu9MsQoggt%20xSiGSmjgxZ1wRQWUoI2xjN1GsuioeCwzNSYl6UuQsL7oKjGpbVilotXSturG4PTbVUAZHSg7Bz5x%20vTGRonLlIvXtKmL6j5TJ5C0KEKG6JAsrQgYyD+jFK8VpaQhE+sK9hyRFv29WCrzcnJQjO2Y5AMPs%20muY7NMVoBYGlNK9ITQcRrEBABPk4ykKSBh4bNYwsT1tzlA8EnrPB/6ggEonI9RwGHl8CTEzSeVio%2022JM8EhZvn2eNPaQuxTPPa0a2Fiybji3HvaAR895wdWdc23p9XLasN4R9aaFDS+/CLDYxq6JRB7z%20pjo/Zte/FhnMJr2wcEVSmmKqTAd0sIKW8kMBBKjZTOs7lnd9pyE7dop01O0dXpO61wbJdL2rzefo%20hLo7RQrXQyC2b8aGjDlebQhKKaADX3QAO5+7T4PVRqbq+IZhnn6wj2197z8txcHaSXSCORudXjrY%20uEQrIolULLfaPvxAYPnLs6s8X14yxR9HuYFe4ZkRGuxmTdcDjIOPDNrcvIlEpYYMZKRDW4c0Dnvw%20eTeDcwnysOq6tv/2EvfKcwMWso4l1Q2reIPfveyJgNyITwmQO/zbYoJAoAEs8EUxqgMBtqR47A0q%20XEQ4LhGEFGamcbX7Y77eqrBD5k876flXGvyc7oC8JhiZOGD+zuCOOz3wz04yuxtszI8NfGRM4Ux2%20i5ECFrziKPEIngdOj/rTP4gIMrGPS07UAG554DAwiQeXtJv61K+dhSalQXtP1BHgJ0omNMg96g8z%20j+Qr3/azb8Dpv4so4hv/9OfzQPJpf/rDPB8mLCxkAzIw/dvDPh4NmEfznW/9Bhiq9UTIDqwpA8MO%20CAChASPAU2PSXvLfPvxc2v9LQnUYzqddLDQP5Vd98TAPJ2J9XIL/gCdSgIdxSMUXKubHfwqYfxDo%20AeR3Ir73fwCIe8ZngR1Be+Uze/3XXi+xf+EHgFwSewRYftkXDzXFehtVU00nUEDFFAywDygwAzbB%20DwRwLDpnHwBIge11gSkYfgZYSIZkfgNIfgUogkgIggXIgr7XhLP3hEeogOHHG/tXfsynfRk4D7Un%20hbmHfMqXfP2nc/03fBsVfiuEKVPiWAUXZHsTWIwmejREAy9AAZrih36YAB+lQwmQDhuhKanVhxXg%20Dl2kKXxoLH/ohxQgiZriDn34AoqYWu7wUYU4iIF4iZB4iJL4Ap/4UR+VWpf4AiCTQ4RYiqBYAYjY%20iKJoigyAii/A/4heRAGkCIlRkIuUKInp4Ii5OIrKsgL2lwBmBWQf9g8gwAIooANZAVEvMAE3QACL%20SIoU8IiuCIt8mIgVgI0W9FGfGDzYSAGaGI6f+I3mOIqXGFGp5Yqh6Ie2aI7feImaOInc2I2QaEHq%20WImp6I0MYI7WGIvZCIqn+FHCqCnfKFHKkkMTwIrQIxE3OEk5uIM9aB3sJCj2NwHoiIjp0I+RSJD6%20CI7hOJAAqYi9mJAh+YcGyYef6IgmKZAp+Y6OiIqaiIosWY4uiY3vaEEI+YfuEAUmeRcNmUOtCIor%20QATQwQ8bNodlNx83kXAGUDL2txQNYBQGwzDs0Tlg9SnqF2ssBP9lAJB8O6FL+PFdI9YQXLJ4GdYR%20eyNpvIEwaMkQryciX9GW1tYTBbg0lbRzHlJSXGIv5QMASZNeyTgfYvRHAlAM9bcCSrM006FSBldT%20e5lzbIFZJmUjnSYRGbBRTWcvcLgUCdNihyRGa6IXzrcUChAP4QU1MNF4BueVn6Jz+mEvs3lg+cEb%20awEhETlmaDcubOd2vvE/N7AbTFebfQkj3sQUhaQlhbd2HrA7/aCcsomc0REqBsMTkEkZMkETb2aX%208WCHaPJdsWYjUMYPOtdyCJYBZ7kUBEAEKuYPTGlojyVFiXYuIpACjvYPGXAdiDeGuNJSg8lC7fYn%20a+FgswcBZAH/GAE6liXWE2vnYAnocmZTGLZ5JrnpYBtlI0JToTvXeNohlgPaYC5BVnJGW9ZHVnli%20a76nRzKSXIByLvkwA7d1LrQyIhEBAPHgcAwGADLxOLWlHetpSCB6ZBlQfBkgQIFnRORHIoSjdT1K%20HQ6WMEQHcghhSBBBTgEqhhkaD5lZEGJ0njPhoL5hoJjno/tzEEHaEaw5EfzpLwzQm9xmZ96mAxPQ%20Uv4wDzunYpS2nqvJeD7oTQ+Wp2LkeA/Bn99XFpyFHe9ppmqWJ+K2e4V3pzm6owsGAYaSpfNxa4XB%20HXLzXRFqI5QmHeR0l6yJoQ1mfXEViOdEh/tZG050LlFCGTWD/x9a5RfVVh0x1WnIcWCfFBqaJkX6%20lauL9ZS+ZJ/0cmc3IhyP82SdV20+JhZ1pibvt1kPCj2l6WM/Wi9sGmRkSZutIiJospbGxWq9up/J%20haR/GmTpmhGEMxZMEWhB1hPCAWW5+ilOpGcuom4wAq0JQQQv4Jsb164fInbD5hB+gXJ69qKFJyFB%20tqH7k2edh69Zhj31Mnbc+qAeoqyUlGUOiibCuqw3IhrAmp139Q85xKqJ0Q8nQysN0iCcE1fLpSXb%209Q/zYGQZoRWcyhvPBqD76Tlq4hM7cyN3IpaOk6aa6jzu9zkfthM1Y26aul34MRDdZVOuxV0o5VYt%20BGLU6hYABv9gOLsmhWU+LOeqZXtmxnRSWkFMDfGwKGMiL3suZjFxNVEZYEGoBLGsT5llJuuyCdqr%20/FMu3VWae5O1V5Fev6O2bRVkZZERYkZmVIEg/EOWTBtPAxEkyyU3b6Jmy0VQNzNMWbO1zlNYkUlJ%20cWUWh6upbmUWC9Fpigu2NtFCMFRpQWUziAFylUYk3QUvheQgGPG0GJGKKSsXWpUABOCyJbNo1ZA1%20eRQwCbBOQ1K2UuJWhYUfFNABxgltlpEM7iBGy/UPE5AMMABD1skPK9ABL4AYQmsAyhtUt7EpCoAN%20qAsoeEQBE1lGCSACRwFa/ZAAGVANDLBUBEEAXgIBwgMd/mD/vBPQARQAu/HionNRGenlOTBEBKVD%20mw2wLRq3M9DprW4TD9VQv3/GJglgs0vTABG1MvXmYwPcb1lRjGiqPxjRNtejNNaRdcdbswxTDbE6%20r+cyASvwWh92KfxjHQNRvzdwjK8pG3HqK1PxJtr1vQkQV+IGAB3QAYhBKwDgDslQRdOapgpQSgAW%20DxRgALflOVoHAet7UmWrADBQDNxrbQ9BA9VgAG+2ZBkRBR1gIk/JvxCQDsmAFw+bDhhRAffRqyvw%20AgQAAoPsJrwxAR7AAAZQaJ3hII3pWksFE9iAOfECvJt3XnGxXSAgANhwmCUzATMARlRnEBlQDAJg%20DOSiqQzA/wvJ0EKrvIwmgDlVph3GIAB6PBCeIzcMoAMmQAGDCR8AIAJbdFJk+QKisAz1q8IQwMsM%20YAyigAKk8kcoQACioAKD5r+8YADJoMwEMQHW5A4zsE0ExgAPgAL9kA/LsALCoQC8PAGiIABqBhaG%20ORUZ8ArGUC+VQRMioJhYMhHxgA0CAALeonZYkQKA1W6VUQ350AHdZW0rUAw60DZjFS8TYAy8UAyz%20FBuVQQQMtcNIe7L5AEFPKcMpwIuikAyHSwMM8ApNxQKMXBMdoAIvAAN7ZbL/kAwp4LwCkA7bCgIp%20ADf5QMo+2A8dcM0zkAJJKTJL/LhUQZZR0CfiBrEroEUiMP9LB+Fa8scC8lFvgZUBRGDNefImDIAL%20KVBYlbEQ/AACDyAC8pE1GEEDOvAAHSC70YENl1RZWkIB+SAKpLzH/1AM+1ANyfAAMEATJzMPMCAA%20N2A5L3AbL4DQIsACka2pMIDYxfAAixlWBLAPz4gConAUOxEFCtcBuJAMhTcfwcthcYFfLMADIGCu%20GUEEHcALKSDWT0kB+7AMzHpXCmICb4cpCwED5fDRuLKyD/AAtt3D52IM+5ATf+YPxlAO+0BDhDNu%208ocLraV2ALAPuIDZKRDcsWoA5cACCsADOkCzRJDc2JAOKcALcUNeJiAKEyACJrBRS5sMPIAC/+AL%20y6AA8uH/AQmA1xXgC7xwUq37wHDhDibACwFzGyvw27ywAktVGFXsC2F9M7xxA7iwDwch1nX7ALgw%20LJMkfw8gleeSog9RDN9NK3bBCyaAAgirqckgCr5g2/7iDyjAA8WAAgKgAwLhOUSgA+VAASnAAzuc%20J/MAPgwwVBN+FhCwDDwQBekN3o8jAOUwx+UQ4N2VDjzACxTAPFlBA4y7FUyMg1PxsCDAA5tctxhB%20ABQgAB7+lPxABJk9AS2HIzdRDilgHc25PO69JlhBAMug3PBSGSDACxWgcgQBAw8gAOvCt0hlAiyA%20cvuZAmAOA8vARWKxzeVQzqReswMhAuUgAqplAhOwrDrA/wOSzAuvQHYZwADlMAP/sA8mUBn6Www8%20gA0qUA5RECGv7cmH5haPYevLkAxo0hPznSK6IWM8SBPju58UMAPKbW0MAwHuwIMMULctRAC8MH/T%20wRMpkNBJkR8ZMOmvkABjfRDuoAO48Aon8ybVJAIqgNniozL5YAwekA8pQGD/EAWiYAAQAAKLWR00%20oAJGLd44NxAv8AoosN8zsKEBzQIJwIzGMPD6LBWnLOhezD/JoAMLAVomIgI6UBkgXRMqgAsqUB1f%20ywL5AAPlyRDY8ADLUDBQ1gEs0DWGQRAJMAMP0OxyixTYkAK+AAPcXhAFDwNPnw9SeRSsjAsKwCcM%200F3OJ/8CvrAQE/9oCDzk9St6VMaD1dB22GBMHkAADIXtEh0uUh2wUoEuhCwKco6mlqECpPznvYrZ%20QHwzKzDMLMAT/pvy0N1yCXA8LPBebQXXLFAvvdrKM0BPeUQiEo8LKm8WNMEAM4ACKgACbt8THSAK%20NAAC+yA8iNlQPg0DfEETol+/MGAMN2DXNzDx2CDhE5Be5KYDycDUOtA1gwbbTSkXwjEBKZAMhbW2%20CSAAM3AUCJKZSGXa3lUykCwAPJAPAKZoUfAKvlAN3fKyy0DueWQW8lEBvEDKNjMi8zzgg4wrBCAA%20bpex/LsMoCcA+aBmA/H0i5YCWNFdAHGDRYdiJjr8+7f/4h+AZCyiwOAF4h8EhDSKqchXzkQ6f//6%20/TMgqgKKZSziIUT4kcIECAwAoIQZU+bMVykafPQIoGOyfSIoouznAcCLFDMmePzHDyEEUeVEKUD4%208l+DfwyKPUjQryPKDgIeoCCAE+eKFK8y/PMwMSoDUQ+MRUX67wULE8aUfvw4Mh+MktUQdqSxL8EN%20HR1uLOVHYB+DDrwmnEXpbuAKHfmgTv1HIV+xGTxSdPTHr181HSsMVObXoONHABSIUFDQUWnSmbXh%205vxHRIWIl1L79Yung1e6fzRgtp4hiuNC2ukEmJhxGYDOqq8eSMwglR8E6wIoMJ+HMN0yGAgh96No%20jJeA/yiQAVBcQVcFP38UlSp4hcKYgBRHf64QAIAKWKCgt49YKAYbXHxCKK0V8hGhGgFUUECqf7Bh%20AQYTTMAmrdkQZOAVX4hD6qUXSERJtpYus63FmH6i4JUolAJAqfAYwGWGAlGiih8YZoCBgL8gME4u%20FZKJjSJ/PuLpFQJmm+2fYnRAgaLelKrglQrM+2crD5KZIQWodOong36I0CEFd1BK658JjKmGp4Mg%20wKkY3kAoxsqP4oGBgRTKYfAngijYh4WjPICqHxE6UAAGClMLbwUUEmAhHwoa6A2plVqy0EUXRUjh%20sH/Ck2oGE5KZR6oMhFJABF5USGCrjyCYRwQBBFCKov+z+rmhGF6WgUm0fl4w5ro2p0OIABVAsPKv%206RjQQQAYOoLgpY7QFOUglF5KQAQUsOElVFIzaEAHBhTIx4CfurzhlWS8YmBUzCQDAQVfUCACoZMY%20cCgZE/JpECEMq1FBABH+KtE12GRDKEpPYVq30SisLTEBXnihgL5Rf8KmUOJ+Y+6fdGAIMmCl0ikU%20KqrQQwgE8ojoh6pq3VQhiqhw0gmEShNY9yMiXlnGr6Q6AmCCYqqJ4oFklkLohXwaWMGYCd5DKQU/%2068pOKX4mQAHPiPpBFgBsUGgABB2+Q8ufDIyhIJmvZGXuxJhUPPdhu/u5L7suafvnhglc4wcAsBHz%206yf/qpg+ikfm+GHgpG1nBsBmisJDKR6hIFgy5Kl4znTbFQ4D4KzZjAOABuLi6eiyG84aEy4iaFhh%20ghf+gcq4GyiqIIFtX1JASOCCpV1ktENWiSWX7G6RBtgFD9kfD9xZtPWQ00lGoaXaXIo4FinvFoJd%20907KHWxIn41lClZg7aMGaDTAAA9oTAmABqoxQH2cKGKAThGGXygDm4l4QaLmwQ8s3cAAyfBL5t5D%20ABpQQARKgYw/FMASCBAJJ//IwAQhAAKbTWc1C1FYbPjmsIf9Jn19uwzYIAOBCrwgAdIJXHESoJqo%20vKQB+WoA9vTEOAVsBybo4UcFfvKTmOUmZOvqSDp0/7eQnyhlAtbTV1QOAwGexTBkxlHAT84iFAky%20wB0voUhQqLKC10kldMFbyAUnQiQPbKlNrJELihC2nbohz453xKNtwlMtaskLIT2USgUnQrWlWOgl%20MTxkXOQHl4+w6IIZgEweJWmb4nFqkpfEZG2o06UzIqthGIxStZinN5hE0h+dKs62EEIqEmbSlQhj%20TQgZxrdX1hKPYKzIbF5ylvAczpOOGyQngzUP1lBEkJjBYG9maUtJwlFuMKEbi5g5TU+F5zzMsdAF%20CaAqrSQFAGkhmlpoNx1rUsRxmcLeynDWSmqWMDPGQ2U75cm0nGgnkhPxIT5pE6WzCM5KEJAe6Yrk%20Af+tQKBNlJvnJD/YmteIEEoJhShQ8EJP8CAkX8ncZCA7chLMRUVrnNxKTNgZUUrGTY57o6M0SdpO%20a+UKJcZ8KfhYFk4w6oSAMrHQeU6JTaCMdKUzqeTxfipPT5rxPfEAZpcgE0q00OYs65LKQMWJwaWo%20caieWqgsR3hVaiIrn0iZGRqPk5QyeZRv/jjldHAZTKJ1xEzg42pMnHnSaMZ1muuiHQ0g4LghprKp%20N+jjTn2oJJmtiSIeEJUvUZIBYGrMrkB9pyUf+0pC0kBISkIIVRpAAxaJaiHSNNBCbrC66XhWVN30%204T0nO7eENXSWPl2tHWnAj9uZ56ajMo6VGnDOGpn/Z5dU8UBYCUnEwcUFZPGM61xZm9LYupJoALhB%20RkzAM4REYa//SAYIwAgDCoSVBsCFCwQogAIRjDEdUfDHOV1aHISG1KrJjaxQm4vJDHTgAeUwSXhe%20SBEicLdL2CjGQgKJRmQ1SmqnhIABFEBMtIBxoHid795i6dqtRliS+XjAqRpAEXfALDPGMCYKquGB%20rYRxNqJLxytEkD8IRGHEohLV+6ZyuNusVrnQTMqKLDzJakGmA7iwFHkNIAADYMNROkiICnwhAhDw%20ZoOvgEEyEsAAFORuGbxgWwde0QFsNDkBBkhBNRIAAhCko8nZ/KCN44vcHbuoWh9ZwZWTwYA+8ccA%20/8bogCi+I4IZzOAhNhsJCmBQDQIUowOS+lU1qmHoFXdtHlAmQjWkVg0xtVnCIKTwQy1tx3Q8gBcM%20EEExosCLDjT5FTPIDQwE8IpqiIA4RkYBCtLhDhRQgADCEbUBOiCCZIyEASE6dHYdCAIhWfjGKcpx%20HTd9R6nMQxStZsE+9vGV5yxDBf8o2APy8RwDACjDy9g2LligAl48YAYFy4cKWDADHehgGbjQAQvK%20jWEBVKhh77VrUNm87Nr8BATpyocoRJSCfJhAAKJYQQX2ES0dmIAFCkjBA3AhijCZQBQpEIUoFi5t%20dbNAB6Kgdz50AOQZlEMibc5qpj/J74cBAEinWf/GyGGwD1+w+x8geIBw9mECnwgAF74QAAtEAW/1%20iHvdlVpGSZLOi0J5GiLPTnNsjz1HHbP8YWjVyUs+rYNipGDVIsCFAHiBAgCIAgRKxsUDRoxlHexn%204hrvOi544aRl+CIFyeAFleqOi2WgwNME+Anzmqtvq7voJVoBAAhSYAAVGEMH++jYekTRAAbMQASi%208EU5UE3wZYBA7BbPB4KGvg/6+bwDKcg7CHzxgAewIAW4SIGlU76wChfeNtxJhjFUgIKgc8YEhWqA%2040FQ7nIs7dxcX4bBBbAPnfECF69wBww8TQGKY+Q5+zCGL3hhAC4N3qTLrbrtKWkhD7CgGh3Yh9n/%20l3ErURgsHtjQvgr2MYMXth3KKYiW4s0NpOpXah8pIJkU8LoUwIYZwIV0KBLHkro1E7/agCNFURMl%20E7Tle4CFq4D48IXKeIBioAEUSIFlSAYdeIW587wKxD9RqBQVmIF9KAYWEIHQEwUUKIh8MKGQiq3Z%20c6iVa0CZgIB8mDNeUL8ZuJgwgYAXCLsU2AeMoQEVwAgRODUBAAEYADqkK5TQE4B8MIZXqAl3q4YZ%20eAARgCPvMxG6SjaV2kEco45kUJ4OMIAboJ8OYEPduQEQMIB04DKlMIAEyJ0XYAA1fIEIqYYJ6IBq%20SAcKoIAOOJ8KqAAC6IAoIIIio6GhmS/CO0OI/4kLAviOChABApgAbDAAEKAfpWAAEGCAF8AG3XmB%20F4gCBQjEZHAHRvTEQuyAX/syRmGAFTDEQyOAKqvBCMPB16pEmWAAwGPDGzhEOKQAv2AIEEiAtqGI%20KGhGAqiAKDCMMUNEVawGCngBCsAGd9DDCnAHFzMgbLAeG5ysqUOp8AtGaAKZIkGWwAsZMzoc1XIc%20GlgnxYEYmAoWc3wsSlxH7Vg5yrkccconvJkqK8GlAaMWUimxP/IIrUCr+frF2ltHuYoKCFgvNDqc%20ItmbwMO3N0qJ33AvfIOvMQQ/ZavIw4Orn4jI41CKlgyKfVq544oJwaMnU+qtSWTAigSKQCofuP+y%20ohQJK9EISYRZHAFjor8oLrRiSn6Mq4nUtIoskr7yCPeIpLI6osOzkMwBHqqCqx+CsHz7PhxjLp5k%20Dtl4iXlwj/6JR9zgkpUJjbZkHji6KRWip8DBCa48x52sSCKaDYQskS7pJsH0yp3qlN6gk8WBoDDy%20puZpSqccKqjUwX+MCtnQJTOKChqjjcQ0yN7IgOfqpuLCmbCipb00SbJUx4p8rmZJiWC6C6hCGGBS%20o5+Enxqryr8IqZzcy02Rr3Uksds4pLzcJK5UI0OKKfBpSeT8oRRBK5CZLMkszXXcCu3ATMGLS7WY%20KAsJS9ZCznsUwzg6STMMxpdIi0jCpbPopwz/iJLQ2SnRUSS4yJQwYpm98aRg2beh8kfpnE7q0Ikl%202aklEUnBZI3/ZA6YOrxw0pziUi0AJcmfgk7YEj/macneOoseOQvQMA74aRYkuqCXtBaKqaEGvSp0%20rCuzlBf7sI+03BtSOc5lkoo+UouP8pBuOqYS8VAR/an8lE4IU6zZ2CmZSCeUYFHG5BsiuqK5MaHV%20elATpaUB66fGxEz62FC3tKLMGRxkwQl++s5nGisaGMboZNIwtSUGSwcFiAebEdM0ZSbMjIJ5YACh%20QAkFVNM5RZ40YyH+CS9be0gT4tM+9dM/BdRAFdRBJdRCNdRDRdREVdRDXYpb9FIGXdRIldRJ/6XU%20SrXUS72gaqkGN02V+LkLTAXVUBXVURXVhukID5iAxInTl6CBKGCACUiHVJXVWaXVWrXVW8XVXNXV%20XeXVXvXVXwXWYO1VTkyAVWwxYUXWZFXWZWXWZnVWWiWAaE0HAqiGBkiH3FkBTkzV2HnWbvXWbwXX%20b83WVCWAWVuiFFEKL2UACoiC9nHXd4XXeJXXeaXXerXXe8XXfNXXfeXXfs3XZGDDaiACBRhEfzXY%20g0XYhFXYhWVYeGVDA2AMaXxY+mnYirXYi8XYjG0fNoRDisVToJiHeUAUAiLZkjXZk0XZlFXZlWXZ%20lnXZl4XZmJXZmX3Zi1yK0KDZnNXZneXZnv/12Z8tWYzUicATHLwhIKMF2qRV2qVlWqUVirC5TzqV%202lqaTwid2qvVpJT4KKzlWk8pTtXaJ62EzK4lW6rC0bJF2yaSibFF26ntzLD0jcZs27lVJTClW7JV%20FWG627ZFlh/d20lSgocJ3NoY3L813MNF3MQ1y8JtEcZFCcdV3MiV3MmlXLuC3Jm4XITI3Mrl3M71%203M+9o82FicsVXdA13dNF3dRV3dVl3dZ13deF3diVXbJtycBVgtu9Xdz0B9zdiiFAK9/9i9yd3eEl%203uJtruTEXdzVXd79C9/1hyHQXOE13uml3uqVp9r9h+QNXCJZEgZQAWZ4D39AA98F3i6RXuv/vSOc%20/Yco8IWlgdORYBEtQt+YaB0IwAbe2Barnd+rRd7b1YB3kAbd7QYUyIXv8AdxIN+tUN79taO0AIBq%20wAUeCLCleBAWOB6A1N/Z7VSEwL94+QnsYWC0/YAPUGANMGENKNxtQIM0kIcZyId5GIIhQIAYht7s%20NeEQzqMOKAcYCKNdQsLEeSQG1o4lCYxXgNP6xGGyHeES1oBNQAclmAAGSIAg+IBF0ABMwAUQoGEa%201twbTmJPGS0n4jkCcIcJKKsKMBj7mM795R1EjAoKeADuA4BE+WIlJuEuNuFsSIAH4AEeUIFt0IA6%20UAJfYAFxmGEutmENqGPkSQAeqDuNWBP0/+AFo/CIuGRb4rUvE+CBBziMfnC4VZqqRZ7aJcZjW9AA%20EBCFf/gTCUgDDYCHFPAFfJBhRFYCLxZlmSiSeDATHigHGvgxHaAcFcCF4dmk+a0AE0ABGjCGfTiK%20DFg/3SGkWx5lEt7dWtaAGDDlBsCGSDCBWagDE0YBE2CFWY7h7LVmaZ4JgsKgBCi+8BDmFTgLETCB%20eFmNqB1eFOAB1rwBfvC7NUFidFbTJa7mE9YAZAjncigHdtCANFgE9WAFa9hic7ZlgNbbeFCAHZ6I%20P5EZe6GACWXgGRAA5SEwYXZgzaForo2HV+CBeDAAXFCI9TFApDxp2xAsKjK56ag5Y2KBB/+AiqcK%204WTggbcQmXgBgLxbgVOd6a4Fm2LgAedraptpACwL2aQeP/X0iKETQhYggsBRgCvMlM5BXyIQgHLw%20tBTYEiK4F0ukaqxVgEqJtxQgDt6rAOdc65nw0Rf4OBWYgNlwGzQNLwaeAJFjAeyAAVGIl9kA4bpO%20U+cRMOMQWWwwO+lQ7Nrwh9yqlpt6FwZRJbCdXqhIq8+0lWQok7Wa7DnNAHisit2rj9KWiZvgqLql%20gBRAgcOISK9i44fsEtJgkKhibTXFzOwQEKLGoO1ca+a5KBrIIKKJgu/AHKPCYTq5bD6cqkTq7TC9%20qLxFicvIYHT+S1SS7C65i6hDXwCgHJU0RAtwuovqFlOwkQqqEJw9Uu+lCA+D5KMUiYecsk30vZ+l%20uCjK2e74BvAAF/ABJ/ACb92AAAA7" height="186" width="589" overflow="visible"> </image>
            </svg>
          </div>
        </div>
        <div class="fig"><span class="labelfig">FIGURA 3.&nbsp; </span><span class="textfig">Ancho de trabajo real. a) Tractor YTO
          X 1204 y el nivelador de suelo Holmeca. b) Tractor YTO X 1204 y la 
          grada pesada de 52 discos. c) Tractor YTO X 1204 y la grada mediana de 
          40 discos.</span></div>
        <p>En la <span class="tooltip"><a href="#t5">Tabla 1</a></span>, se muestran los coeficientes del ancho de trabajo de los tres aperos que conforman agregado con el tractor objeto de estudio.</p>
        <div class="table" id="t5"><span class="labelfig">TABLA 1.&nbsp; </span><span class="textfig">Coeficientes de aprovechamiento del ancho de trabajo</span></div>
        <div class="contenedor">
          <div class="outer-centrado">
            <div style="max-width: 1160px;" class="inner-centrado">
              <table>
                <colgroup>
                <col span="6">
                </colgroup>
                <thead>
                  <tr>
                    <th colspan="6" align="center">Tractor YTO X 1204 </th>
                  </tr>
                  <tr>
                    <th colspan="2" align="center">Nivelador de suelo </th>
                    <th colspan="2" align="center">Grada Pesada Baldan de 52 discos </th>
                    <th colspan="2" align="center">Grada Mediana Baldan de 40 discos </th>
                  </tr>
                </thead>
                <tbody>
                  <tr>
                    <td align="center">Coeficiente de Aprovechamiento del ancho de trabajo <i>εβ</i></td>
                    <td align="center">Ancho constructivo (m)</td>
                    <td align="center">Coeficiente de Aprovechamiento del ancho de trabajo <i>εβ</i></td>
                    <td align="center">Ancho constructivo (m)</td>
                    <td align="center">Coeficiente de Aprovechamiento del ancho de trabajo <i>εβ</i></td>
                    <td align="center">Ancho constructivo (m)</td>
                  </tr>
                  <tr>
                    <td align="center">0,96</td>
                    <td align="center">6,24 m</td>
                    <td align="center">0,78</td>
                    <td align="center">6,85 m</td>
                    <td align="center">0,68</td>
                    <td align="center">5,25 m</td>
                  </tr>
                </tbody>
              </table>
            </div>
          </div>
        </div>
        <div class="clear"></div>
        <p>Para
          el caso del nivelador el coeficiente de aprovechamiento del ancho de 
          trabajo 𝜀𝛽, arrojó un valor de 0,96. Resultado que como se puede 
          apreciar está cercano a la unidad, por lo que se puede catalogar de 
          aceptable. Para la grada pesada se obtuvo un valor de 0,78. Magnitud que
          se puede considerar baja para las posibilidades reales de este 
          conjunto, debido a que el ancho constructivo de la grada pesada de 52 
          discos es de 6,85 m. Para el caso de la grada mediana este indicador 
          arrojó una magnitud de 0,68. Resultado este que se cataloga de bajo para
          este apero de labranza debido a que su frente de labor constructivo es 
          de 5,25 m. Pues autores como <span class="tooltip"><a href="#B12">Jróbostov (1977)</a><span class="tooltip-content">JRÓBOSTOV, S. N.: <i>Explotación del parque de tractores y máquinas, Ed.</i> Mir, Moscú, 1977.</span></span> y <span class="tooltip"><a href="#B10">González (1993)</a><span class="tooltip-content">GONZÁLEZ, R. V.: <i>Explotación del Parque de Maquinarias, Ed.</i> Felix Varela, La Habana, 1993.</span></span> reportan que este indicador debe estar cercano a la unidad con 
          magnitudes de 0,98 y 0,99 como máximo. Comportándose por debajo también 
          de los resultados encontrados por <span class="tooltip"><a href="#B6">García y Ramos (2011)</a><span class="tooltip-content">GARCÍA, E. &amp; RAMOS, J. L.: <i>Evaluación
          de los indices tecnologicos explotativos de varios agregados en la 
          preparación de suelo. Trabajo de Diploma en opción al título de 
          Ingeniero Agrícola.</i>, 80pp., Ingeniería Agrícola, Universidad de Granma, Peralejo. Granma, 2011.</span></span> y <span class="tooltip"><a href="#B22">Ramos et al. (2020)</a><span class="tooltip-content">RAMOS,
          Z. J. L.; GUERRERO, B. E. OLIVET, A. E. F.: "Análisis del rendimiento 
          técnico del agregado formado por el “Tractor NEW HOLLAND TS6020 y la 
          grada Baldan de 42 discos”, para la labor de gradeo del cultivo del 
          arroz (Oryza sativa)", <i>Revista Granmense de Desarrollo Local</i>, 4(20): 717-727, 2020.</span></span> los cuales obtuvieron un coeficiente de aprovechamiento del ancho de 
          trabajo 0,94 y 0,97 respectivamente al analizar el rendimiento técnico 
          de agregados agrícolas con características similares.</p>
        <p>Las causas 
          fundamentales de este bajo valor en este indicador para ambas gradas, es
          que el operador solapo un pase de grada respecto al otro en más de un 
          metro lo que equivale a 4 y 6 discos de la batería de discos de las 
          gradas.</p>
      </article>
      <article class="section"><a id="id0x2e8900"><!-- named anchor --></a>
        <h4>Velocidad de trabajo</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <p>En la <span class="tooltip"><a href="#f9">Figura 4</a></span> se aprecian las magnitudes alcanzadas para este indicador para los tres
          aperos de labranza que formaron agregado con el tractor YTO X1204. Para
          el caso del nivelador de suelo la velocidad de trabajo oscilo de 5,6 a 
          9,3 km h<sup>-1</sup> (<span class="tooltip"><a href="#f9">Figura 4a</a></span>), para la grada pesada de 7 a 7,8 km·h<sup>-1</sup> (<span class="tooltip"><a href="#f9">Figura 4b</a></span>) y para la mediana de 5,4 a 6,2 km·h<sup>-1</sup> (<span class="tooltip"><a href="#f9">Figura 4c</a></span>), con valores promedio de 8,2; 7,39 y 5,82 km·h<sup>-1</sup> respectivamente. Este parámetro para la operación de nivelación se 
          comportó por debajo de las posibilidades reales del tractor que es de 10
          km h<sup>-1</sup> según <span class="tooltip"><a href="#B12">Jróbostov (1977)</a><span class="tooltip-content">JRÓBOSTOV, S. N.: <i>Explotación del parque de tractores y máquinas, Ed.</i> Mir, Moscú, 1977.</span></span>. Para el caso del operación con la grada pesada este indicador se encuentra dentro de los rangos establecidos por <span class="tooltip"><a href="#B12">Jróbostov (1977)</a><span class="tooltip-content">JRÓBOSTOV, S. N.: <i>Explotación del parque de tractores y máquinas, Ed.</i> Mir, Moscú, 1977.</span></span> y <span class="tooltip"><a href="#B10">González (1993)</a><span class="tooltip-content">GONZÁLEZ, R. V.: <i>Explotación del Parque de Maquinarias, Ed.</i> Felix Varela, La Habana, 1993.</span></span> los cuales oscilan entre 7 y 10 km h<sup>-1</sup> para el primer autor y de 6 y 9 km h<sup>-1</sup> para el segundo autor. De igual forma que para el caso de la 
          nivelación, la grada pesada se mantuvo fuera de los rangos establecidos,
          quedando por debajo de lo reportado por los anteriores autores y de 
          valores de velocidad de trabajo obtenido por <span class="tooltip"><a href="#B4">Fajardo y Hernández (2013)</a><span class="tooltip-content">FAJARDO, A. &amp; HERNÁNDEZ, A.: <i>Evaluación
          tecnológica- explotativo de la grada de disco Baldan modificada y el 
          tractor MTZ-80 para la labor de roturación en el cultivo del fríjol 
          (Phaseolus vulgaris L ). Trabajo de Diploma en opción al título de 
          Ingeniero Agrícola</i>, 82pp., Ingeniería Agrícola, Universidad de Granama, Peralejo. Granma, 2013.</span></span> que fue 6,12 km·h<sup>-1</sup>.</p>
        <p>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>
        <div id="f9" class="fig">
          <div class="zoom">
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U+tiwLkD%20XoFjeZGBZNGKtMNT52lrpSqo2VgbACDsVF1QXLnCc4sL4IQ0OYGAGC+gBQiogAIXAIAShLn/uyx4%20B40BwIkOOIAAM4AvBipw0QoIeAEuQAAnSCoQ0Q4KpX5cGlq8ogIA2MCi09BGOUoBUJAuoBShQgAv%20SsECBwCaE9XNaAU60I8KlOCtFRjpLFu7jSaywLEtKMUIKiDmTS+DF9t4wAKUAV4OmzV0e8TJRmi6%20WOTuU8X4SzUCVFCCCuCVoq2dQSm24QCbSmC9uljAAnpLUqlOeopNNXEIeNHaSBPgvg6Qp7N8BeUi%20SrmcgxqIBtKRARtMIwNAdgCLyzHb62LAzZRWRp613d9ymPofLsAyL5xdghD8QxmDLkUGXKBtF1RA%2005xw9m75K2iS9ppu4m2fr7r1DwTYoAUO/yBuCGab8dsuYNNy1cYMppFbmA+VhDLP7cu38SUA9Jaf%20M1gAkWta4RbjlcA0V0YI6EiysuryrIJqmUc0UlkC6GIaZVxGKXihDAJcOqSeLUUL/lsKrXKiFKm4%209wY4sY1lAJWj+nMtAEpRg7LjlRdpLjug516KEPR4ZLxq90eMuM6o9Klog3vH1viUFqjhC5Bs6scG%20YjsCR0sTy8hdwQpswAsWRHUGV+VE0AGAWFaEwB8hAP1nGTqCd7xzBsvogMwXwN6N2jjSLgCANsDK%20zG+UiV0IgVe6BDKwsnxcKIiuirxOxybmIwVzeFJTsqjyDW1MsxzFDUEJRkDpd+gC198owf9doypo%20bWRgkMvg2xNdnIEKaCNREyfAslmwz6ySGQP7NOgKlLGARnI2ZB0BIL+TDl4RRV4hMMDmD2I0Fk7n%20YR7UE9TyF8DDFbeiLQnREVuzQBjACsvgD6UwUeXgAtjHCl9kYCyQe0hVCsE1DdK1XB2gASbHCgRA%20U3X2D343Ay2wWtXlXKyQe8nlAkKGWIGmDemwMP7gQTkxKp1yK7cifJ2yFE4heF7xblKxYbkDNRj4%20M+AlJAZhFHYzP3/iShmQAN/wDs6xLan0ABmgAQLkAFuUPx2QCqlwLAiwAh2wAZqHFO/gAKO0AbFU%20AjBSPw9QAroQYeUwAisAKqAiK2WRhPT/MjJ8si4a4WTIF3LkJRWSiBAHwQ8DYT1bsRGf6Ev1QjkS%20MDtZkxZFATKukQAYozsqIG9G4RrsogHPhBS0w3QMgEkzgAFaRDDAdkPQxw9j5RDglQ7H5xO55IBB%20MYxmsRYygS2OU1LAozcHoQIhACQZgAAKkAAY4H3TlA7pUSQBVAIOoADrYVfMsRMbEALK0AHMFitH%20EQLH4Q/ZmAojoB4Z4CIIgH35k4j/oAsHk0PxYhYZgxAPQyr6Ang+IYWEN2XKtxV14xFYJIH7s27I%20ckt4Aomd0hGuUxaAAzVBJDGbQxaoKCBYNEYJkQqlAFpQQ4BooQGsk1pr8onUopBVkXxR/9EpgnMU%20FDM2NOEpMjM9EsN8bLMTKgAvRzk3PaMzNkkVHQGFt/IArOGLNfGECcEAumBA1MIW74AzajIqWgg1%20ACIBbLERWcQmOLFhTZGMuyQUdOQPVKGWF5gsS4gQ1JI9boRHz3IrcbmJYyR1kGM04xQyKdMZWzGI%20C6ALyGI4guGROUFOBEMxeUR85WIQqQI8RDR4VFgVx0MzZWORogg8cQMtFsMx30IwHjQxCQEzotkw%20VUmWJmWZbzOV6SBCnCIYoPkA8EItW9MuGgGZyNIZcrmWlphST9EptNMPupMQQqMzGsEPALIPDMBr%20rmlS20ITqRWKejgTo/IAk4guKoA21f+4E8EiL7t5E51xLBEzKuQJL4/TPWSxYTiUELfCeOaFEIbG%20E2wJdT+hPgYJlqmlERqwNhMjAQvYen+hEVuTQwzzMTTBAHKUDgWAFIVTE0jhOjBJLV2zEeYVO6Uy%20AgpQNI2YEAKyFtojkibVMT8pGMz4Ewy5mVDhFaqFAcbFlxw5MlkTMRtgWDXAAo+zOGqSKHYCkyaF%20MwwQQwVQDiFgFBsAKhcYfNuTMTJZE9/DdINJKg2zjftTKgsIMlKBk1GBAAmXaAlgi93JNiiKAXMY%20PxpQMARBGA5UNHm0E/swAuWQAYpjPf6AAcqgljf0Nv+wDHjqGmIEfODyjyWwAg6AADX/0CmQNIHv%208DP05wIOpAHLuaMlUDTpkA4t2hP7CWw/sRWygS0HATYk+jxAkqR6gxBUMTLSFzFy5EsKoBaKmhDx%200DugihAjgKsqYCe7KRgDMgIPoABdMiAFQDgKgQB/skBtSqEC6EaUiBEvalrw5hMCwg+3x2tZI2/s%20WQBdpCYF8A5JyoYDNKHbWkwOwD9QwzzE1A8ZkCcoJ0nelBoY4HAjgBQxpCat5AIOIAHRKBAj4Ezk%20p5sK0Ck18Ew3JHkJkAp3VAPU0iLYigAEehVg+hQjsG2RlgG6UAJsI4/BowsKoACK2VkdIEl1xAL/%20UAOp4AAaUQAVsAwMsAIkpADl8A7M/zZNDACI7acLD0Bo9JMAHktfGqALGCBHdlpcBRACvVMAJSAj%20DjACCVAAiEhxy8AC35MKrNBRd8QmykBcEtYByvANszEQwEUA9aoLRjGcyNiAbRkU5UBz5YATrNmm%20AnEyuTgg/lo/30BoKqACGvEAneYPz/oAengsDqBCLqALG9ACX1IAUSsbdToqJ0Oe/6AA2mBYsfo2%20aMoPq4FdAMACqfAnIfBRG6AAssIPd2ZbyuApfStHDIBRJ+MapgoU01o8DukUt5Ju/OVX+YUBHQAA%20YORaF7UMNYAAi6WmGFBR8eAAeAUgGHBVDrAN5ZAAJ+gAqSBbI8BNyuBgK0B/MqJI5f+gefgHAHvb%20aQdRAgSAUCVAqRrRAbn3RBiFAMuwDN8QAtoQAsk7YHnVYAiAcg7QAi2gC9BVAsD7QtXqqcWZaE4R%20YRsLSjPAgeM2A4PECsOlDI5GZACwAsiFAI7GCiVAPZznXEFVARMlUcxVVQQAca41UQbVV58LUwsQ%20Al7XAr1aesbECtvgD/HAV+3FaS+8T2InWelrA/MEXXwjMVO1RXfGCvl1ZgBAwqUgaPfEgB3Wtj6R%20J86WXhflVgkAALEnVamwDNpgILkXVwrAAtvQAfhndcEDVPJbDoArTTIcSgoQXZ6mpGVUAADQAhnV%20tMdbAstgXBpAYwiFRqDlIrIlvaf/RqN8pw0swBwLMAOESAADhBAsQHtk9mIY1QIh8A1cRgAh8LkY%20uZCYiU5RRq1SMRASEGG0eF89ZWFIxUnTAEwz4Foy6FqlNA0JZ1VxpgBB11Q5RViet1wt8FVEtlsf%20iHnQ5VK7VwpMpF2VS1wxtQBONRMyjGvasE9NVQFs9HLpi1SwN1UknF/ELG3bgFTKcMAI3C+XCBVP%20/A+zhl9+9oPTYLXUpYL3a09npg2ckHFs9w8J0M8rCEoAsF9np1WvFnF4VQoV4AIzDFAY9bu8QADz%2003laFcnT4BoWx9Bh5laQRXptBWqDlHE2trpIwXbtd8mckAEhUHHavF89BkD5iRGf//phP7EBCDAD%204MQLojd6D7wNxFUCC+ZSfTVpNJVnX/VYElAA1sVlCGVdYrxc62WC60VYnDYN3aVI5xzD2eUCeOJb%20HEhcFeCtErVcPN0CnidbJkYA22Bb2tVUBMCyMzFtI5AKIWBbnwtVPLhT1vUhTVG7R/SlfBJhuFJx%20Lttb/QVXGKB1E01CqRBcDXdfjuwCrTGDfqYNLYYntPW2C3DGFZBdNEzNCKCSKUZU/wBSEz3IzszP%20OCxrpw1fr2ViFFcBGYC+FbZbuB1jPK0NnCbGnGBfCqBIo1yJ7GycTiFXkkRrLZABjlUKgIVVLJVx%20C+AADyBdM6ALyqDLLLAMXt0BtP9lWwiwANsATiR2ybxAs7jmfgkgY3J4Zk+lAC6ydcHkZtFbAe61%20Ar3K3VjWVi5Af8g8WyrmsmUXDxzFKek1Agu3kt6tbSR213N3cbOLfGzLnz+hwSqQDvdFAAS+bZbk%20YipgY6mGARvwfSSmALSWe5yAK5LGC2HmbPqjSHIFVzn9xC4Q0BQMXFpXAYaVAS1Aa/PDzenlXhVQ%20prPlebG2DYCczeslX3TndYdEbiJ5ZkLldU0rXTytDOtLY9PQr39dyqVlu+rsEywV0kpecytgTyEw%20SFBlSakwd+INWTDWap4SZtpWDvbUaS8F4Pz8UvusVQQgXxTHaSUA1Dj4DyVQy2X/J4PlgCvb0FvZ%20TGmk51RhVmGyhdvptWn9q0i11QLivVUdcIxAUbFOoQDWNQ2A9cAwlmepMN3sFWkLNmj7VF1ivE/b%20UIpC91QZLOtix88/RnvZbFu5t22+nmoNTVgE0A93NQMV9nIkxQ/7BIQmJmNlF2N7/nKPxdAHVj//%20kApBNw2GpKTJdWYH5WwzIMlU/Gs2fcXj1gJyBdTYR1wsoGSpYHBGtwxySGnOLXaLxQl2I1+XxlVs%20dr2OPFXaEGvntu+gZEj8fGYEvG0uIAEdAGH8BXvlcDhap+kqeNlA6AK1JldeN3epoD8a8F9p52ed%20xuK8EGMMjdnXHYVefspgLhWG/1kAhF4CR4VQuhBbYpqVvcVVucXuT1zL2z2/EqACZ7dg1CZjFVXM%20Xtxik/VfFKwMTyXeAPBjL+vNtChzEux2h4zZzr0N2wDAoOZaLL4NWJZ7MOZ58vS5jvxeAaUMLMBC%20MZrAVSFdLkCzDEVDzh3cBRC9cc28l5uIMFYDJZAeHPsPFIVd5cAAl7wCstRwGUB7koQBNuYA/9Ri%20/iRUO+VaKLvtjV0CUUUkjj/vK2tPdl5PqUBfUs9PSpY/AOAar8sJ+kWONRD2Bc3bZ9675/50ufoT%20rQ4AOe1e2UbJZlsCO+hzI5V7qcbHuQcAOFFbC6Zf8r1eJwgAyUXA9GcDbWbfZ/9WtRtlcbpsPwsV%20U8GlDRJDf7pXDibGUGMn2671wNt9VYXINi5rXUKtqEBFyYjtAgsHELr+7ftX0OBBhAkR9hv4L0MH%20fxEj/mPo718BDBoUbuS4kZ/BDsrK/QPAioUKfysQjMigIoEyZQlGlMAwooYKBwj81cCgQAFDByEU%20KHPw79uKDgkKjCiQoEQGhxK+IVChYAErF/EKMFihi4EuXRk2/FNQbsWDBOUwFBxKtIMDBR1CrNCg%20oISDBAoKdCjw7eY3Fgp6KshQQFeBVA78hRjb0XFHi/z6FcjA8vFlhQwLqNgHgIACCRdH/FORbl/T%20d/8eMPingZ+/d/5Y93vAkIH/hHc1ChT8VvDdg3QaWF/856/APgecZgA4/o+B7QQPCErYp6JgAuv/%20JKTbwCA1bQZjH7zLXiD1hgf/NuxOTzaB9o/pvqV/oLEfg/EU02HG7O9bAYxYs4gi/jqy7gGzHnDA%20pHj+WaEEBUfwJ5WY/lEGAcr4wSAVDTbAQEGLOoBwBWX+cSCVpJSqQYPE/qnJLuw4YWUbDBLgpxxd%20VPgmsY8kKKfEeJ76J514aoLrmwwQ0CWBBGpo8oEClFThgRL2eQCDGgrCAAAE0insq1T+Q4Cmby7c%20LbUCOWKIoIckmqiiizJKc07tCFxhmdZCSwjNhtKRQM/aCiKooe0s8ie0194R/66g4VrTpRReSniH%20tY8uGm7QIQ/yp1KGDgqNII3S6Se0seBsrSDZJi1oNzovi2yyyqBq1bH9GgOrn30aE1Q9hELT6NR0%200BxQ2H96HLagsfZr7ShtoHoHTVGR1VOCAvbrR4NoDfKn04I+4nbXfRqs8x9iQ9OzUYPeUXbWhPwD%20EAMBC/qW3V8p0mUbiipFlQF+9snSt+FY1aCfAff59k9B97HIT+c2CI2BDLThhQUN3uH2vtYYYLjY%20sdBdlx+NcNPOotBS+2g367Jz7iCVv/0IU3YJZBMiNwm0CKN6Y1bIu5VVM6o4flTgx1yC0omPT5IF%20DU4y+06tE81KCVJ3wG96G/9LggEN2qdHcikiuDWG9MzTon3QPQhXgx7Ydj9l59UZoVcps+ztjbJL%20jeRRH9BzH4L8EQ7NB/hJLVBlVVjTn/380VU9vwlUGSF+Px0L1IYK2m9QvovbAHHBixtVAo002Ce4%20AfkpvFiRQ8tScdEpgvltdwMsTl66JfiIn6AT2EcC1jTYDVNus1Zoot3WJXBX3i3fby9d9OS03TpT%20d9oijYSvVO20GSVXArTV67tHye52ze1W13SIZolsjjNnuoc3CGtvu07oo9t+BblYVBkamiLuEeqR%20VO0wpDSqQdM+NCC2zKmHIXzSXnu4YxCGMIwfG1gT6CyXKV+lhn3ti1us2tf/q0y1rjgGY9lB9KUQ%20kSkOWRbph7KoMyi/IWog7WGAxiCIgBU4pzoGec7ADLKBE85uIRd0zrYGJYHFrUxswSIiB/8juwGR%20b07DORSjKBcwfjDgVzUsiAWdx68B/cof+3jHBlo3uoJoYDWDMg1vMlCYhqggeYBLiAYiox0kFic2%20vuricBiiATGKjVeWk43+Piiz87mJhbPD2SHTxb8hVco6JtvPCd+hp19tAFo8TGOd+rE44RkkZAVJ%20j0YUli5l6Ysg9SuIyhpzQIUQRFdj+VV7SuZIbRULVnNz5HS69jWCSOZU1skislaGrf38anddRJUd%20Azgko0mgA7pYiwN0sYEN/6QCKhgohwoo44IFJCAEa8njcIyWrUsSbIy6fNmourabirDGXPirV4cu%20WMUPxg5eQpTinBiGsdntJzUq289w9vZDrdULb5oiDS1JOZbUMMAFLEBAltqjLS1aZAMEmc5HVBYf%20hnSKZ1V056nSQ0ZUFcugzByXzszXpprBqZHaYVs9xdapfnyEgbjkaU99GrOJpFQycpPVT40aS4fM%20wAYEQAAnbJCKbcygFN9wQQW2EQJWsKICIVhABdaCv5EdVazFeeI+ozhWn/rjAQDgRAtKoQwVtIAA%20KghBKWawjXIggAWccEAGKsCJBKRiASXYmCDR6siXou9NjMwIqw5iPDPyM/9/jztsZS3ryA7y8rI9%20/UhT5VqBBfCiFNPghQsesIJSVEAbC1gGJ3RBAFakogB+S0coN5vPssbreLel2wiuMgNWcEIbFWDF%20aq/imRK0YBoEcAEreLEMXVSgAt8A2et4G7PEKlJ9M03HVmi30W59hCWhE6MizXte9KZXvetlb3vd%20+174xhe9nutHfQ2lS6Je16cIcEEJYFuBUqSiHMRlQQsqMAMCAKAEFViGC3ihi3r1Izb6deK7dNtP%20CmOGAR0gQFs/y4sFEIAXDiDAMhZQDhO7QK7bcAFqZ7CWa2XYpQ2BafpkmpEJpm0ECRCbBFIBgG+0%20gBMhYKbxZHzkDGe2qEj/jtlYHDANBBu4FCFgQQV4IeIFLGAbvJjGcrsMgBAUoFLbYvKs9HnhMs9J%20AczVRmtBu40ql2MB2uiwlQnQgmWwlROpxYBj05ym7MaUsdUj1woW0OVynNS3rMhACBhMRQbIV9KT%20pnSlLX1p7UbEvvcdqgf/PKvQfCOrdGEBL0KgjFLQaK9q0QYnWJCKO5cDRc+h3acLdGbJ2voyGWhB%20C7TRawAcOAQlYcUy7txVF2yjBSzYBqRKUQ7mMMC6us4MjRW7yJtlZFT+cEo5SnCnn9hOuWVrQSou%20SR4GAEjd62Z3u939bnjHW97zpne97X1vfL9bydSek0Uw0GKNsMZuQ+tH/3a2Q5uPtK6+TuO3Y3B9%201oZzJAH/GYECRoCckfyjHA7QwId0IZQO+GUEM3FAAYoScccE2saDPh4GMKACl3TLRATogFz/daUa%20MUnnO+d5z33+c6AHXehDJ3rRjX50pDdl57PFr6dR/piNZkAZXGtNOqbUyXTc5n3amc7dns6Rh9f6%2064/9nOF4qIHHbbA1oVKPYceu8sVme5TxIMACEHCQ8HxjGcoALVR8FWlMB17wgyc8fFGVvtl1WrNj%2070h6+jVIOqKJVMOJ9JDcznhU5TbXmF/Zuhb1q9RsB1l+TE8LM8V5CFpbuzeG5X1YwIIOzI5zD1BA%20DQCwAgdYxx8ukYzwbP/bvsiacFwIQz0u930oklGxWNgTm986hTvoQ5/hH1lYSm0XfexnX/vb5373%20vf998Ef/kQEckO2KFX70Q79gDomOWWvdqdLx6k+yCeLXK1WAsBGn8/V3DHWEyL4J+r2fMplEEjS5%20axqMeI8xK46KIaOsQbveY6gBJAgJc47LKz4Oarrx8g2YwRqD6JfHk0CPMBqZqy8jw8DH0JNDqaSB%20eI0F9CmC+IYRuBI0qxzRM6QPRD2CESHH2hgMi6VK2ZyDyJUfhEH8qZrVYznSCA2RQAB+eZZ2aaF0%20E7OvySVcuilUCQ34EyIUpBslwylBERiU+Kd3wJR12pkPhKXyE8Au3Ij/rYGesYpBrXC/4+mUdXEn%20KLzAr2M667il0yuQQdkfsMqfKhQrQ2IIDPiGJJS7orEIbZiGBQCOSwKXqRmIdItAK8SlzhG7MDrD%20NtSZffMhBgiBctg4Uuok5XEdr6kvVmSIBFiBVPiIeBCKXZEMyWhFXMxFXdxFXuxFX/xFYKyvP7En%20aukWrWuIYExGVow/v4CiWguigXm+hig8alyvhiiBbvKHLXGASvojwxsI+LOdE6xG9DKkj6ixuFuf%20HmuBbaCKlGrBUxIlKvQ9n1KWb/gqw3iP2vpEL9RAqBiQEliAGeAFTuiN61iBFXgeh8OAQ5OtATuJ%201ONHjhgOfiiAFdCG/6KwCyesHE2UuWakw04pw9mBGASgLgLBGmVMSZVcyYXDiAVwAfMAgFLgBIuy%20HGVUD29xjTSylsZgSZZMqf3IAAVYxPVJmxIohRY4jIX4mk0ZmgeIB0x8R5+KGG2AiBDgBAC4KIkE%20Kn9UFYfQhQ6oARbIANZ4BzkjAEWsnMnhG7bkm/1YAdeSABZYrtmyCH5pS7zMS73cS77sS7/8S8Bs%20y3SRy2logX9YME6IPTIKTMZky7v5iG+YwxoUHpOrgBboAJ08QftbgeKKvRGQydhLIszonhBIhff4%20hhLQhTVZJsvinm+4tu3KCGiJKuliugkTnq+RgMApRC48pF+RAEfjhf8V2AeGpEmg2Up22beHUYYV%20yID2ABUWWABOKAHxAJAZfDeXaAEXUIENaK5wwg8G0AqlyDfyLE/zjLcaUID3eJQQkMsZqAAHeIcC%20gJLzhDcKyimHYAqQJJcT0oBveC7HCr0/GVACLVADPVAETVAFXVAD1YhymAEXGIl3WIZyEDPu0RgG%20JVBAMopSIIAPqTKa05oMHdEMlTbzeU2ibCQPBADYq4H2sJiI7D3ficre/CBlYYDk4AUAKAgAcIH3%20CCrkpBMlK5uCWIYKGAnb0RMEOLSEJIuHyIAmqQEpnVLduMpl0AAH6FBeEEoohVIq/VIwDVMxHVMy%20LVMzPVMq7QCmUE//AFiArSgHENOFeJBBNK3TKRUd3MlPZyQQ7CCiAtCGu7sIwQhLOy1UQz1UJ6kB%20OK0AtIStEKC9kYsLO40HvSiJBeiJBCCAAEvPGiBURDXUeNAbgxDKFJUTZZHO95CXhWmMM0m40cCl%20KIiCAzgAL/CCHdiBQziED/AHWXAwTLgDZiiHUvABTxABETgAV/iADzABZjUBHMCBf/gBZo2CH/gA%20HGACJvgAaTUBZf0BCpADOeADPjgAdTCBKNACSuAGMJhVVzADd/0HLaCAWT0ACqAAd/0BfP2BWI3V%20fP2BgnhX/uCDIICAC+BWbL0AbngFKgiCgb2A4xuSEUCKhMCAaSgF/wx4h49QAOtIBxBgAjm4VS/I%20AggAgkGABlj4BlsAgF8AgK/Clk/ayzFwAzkI2TtgBzfYAS9gBxwQBEHA1kr42X2QBzcQgVolWnnY%20h5+thMY0AQgwgSwIWnmQB6fNAhOQBzCIBDCo1Sy4g0oQ2pDNgnNgB54dAxzIgkrwgjeIgk9IhjsY%20gFiABEi4BLNlADAAA1wQBCC4gzugBHqIBKZ9Ay+4g004B3ngWb31AjfIWSDIglo9h3P4HqNgim/A%20Fj0JyPfMIYOAy9jDIwdYDQaAA9B9hTOwgjMIglcYAiqgAni4A0mwAgaABzgYgiGwBNmlgiTYBNI9%20A3iABwZwBiv4Xf/XrSEG0IdNGF14eIXcHd18iN3YRd4ziIEz0AfmfQVSqF4IwIdu6IYV6AFFsIMe%20oN0XIAEQOIM3AF04OAP0tYI0SIPfvYBXAN0zYAISyAYuIIAeQANi0AZMEIZXOF4qUFgqYAA9IN0g%20IIV8yIdXKF9P8IQ3GIdxqKFXiODYRV/0PV7QBV4rAF2FuR2HGEoDXB8S/AcEUIv5tL4CkCYIWziX%20SAcWbmEXfmEYjmEXrltiqFVBAFey/QDgLIU46IUV2AJOWAAfMFZPsNUxYAIIgAAwgIBcTYclrlt1%20GINcBYExUAclxlZ1IAY5gAJxpQC/jQJ4pWEvoARKcNxzSAdiSOP/NJYHx61bN35jMFAHdWBhMpZh%20GRbXCyjYcwABEEjYJDgAPIaAffseB4CIl5kUDCAAFnAsFx0SJgABkP3aphWFV7iGFRgEcxgBO/xA%207RuDMajVOwjbm/UCa73ha01afhBaol1leeAHVEa/ZjWBSJCHWa0EE7DlSMhlE/ACQXDcSnCDxM0C%20sP0Ant2Bsu2HA8CFSkiGPFCHI3hmaPiDLCiIWCVax/0AM6Dlpp3Vc7iDLKAEQSAEx61VN2AHYW7c%20xz1OGcSIZJmMFWiBOwGykGEBAEjVguiA1/AHEaACESAGbMVWYkhd1b0DHLgDCQCDfaaCJkhdYogE%20M/gAbJ1Vf3ho/xxQVn/4AS3QgofG1lyGaBAIAhzwhzROXYdmWBAwg30mhiSYVhOgAnzAB3dogEBA%20BETAhRew3Y8+ABFogiZ4ZCbYWUFQVghIAmPlYwgwBi4IgCJAhDZNhB/I5YZO4wP4ATPAAT6e1kg4%20VmN1A1foan8wATBIgtR9ZIbtB2Lo5zGwVhwI6GDCH1L94Jm6jXSQSTcdFBVosA5wAQJIBR7Syg96%2013qlVwqgamWlBDIgg0VIBQQgigOIBGIAAwrQaDNgVrI1g3zl137F11hlWghwV1fwYjBg1iRmViYI%20gjFwBS2IgmaNAgpwBa6mgK82gcyebX+lE6Fu2ij4aXaQ4lwNgv+C3bfKMxEWE5duUQBa248+/Qdm%201ekDUG7Z/gFBEIF3cAd50AJBAaRpM4h6lVd81YJ5Dezmjtba3m7yzmjxLpB+Je/0Vu9q5ukmaNas%20bgJ6rW4tQGZ0kIcsuIQ/IAUP8Nd9oABjnWie/WwtyGoR+AF/AObHBeb6Auau/tkm8AJ3hdx1/gbr%20+BUFCLjmuI7NBYl0wFYzkFd61QKCMG8zwFZs/odIoIDH/odn5WMcsOx1pdd/cFcz+AcvFuwaN4NI%20mOqHxuYfOIA0FoFIcPFn/YDtrlZrBYJ5JYY5AAFJOAOS/oFnNYN5tW58BWZljdV6/QB2MIFXIABt%20KIIi+AQdHYH/DahtG1/zSsDXfzWDdv3sJMdXYjgAbK3ofjbWZ8VzEWjrc/TglZO7xgAdvYaQx6sB%20gVQGTd1R7QAQO350SGfhbh4dNVaHStiEO1BWM9iBRVgFnY3ZJHiFJJCHMqYEJc5VSpBjOJZjVa/b%20JL4Ax6UEeUiCJEhigm3aj/5YJ7Z1MCD1W7XaJGZ1YR/2SJdhsrX1LOjYQ3AGKJjiplXOIXmHKnsw%20LjIyjShh5zbW5mbWH9iHBXZXSnCFgegfxwDv7v5uES8IN8dx8q5X8153zFjvepX3evWH9ubpWG6C%20Y6UAeYAN767XfAACczUBsqFlEajxAY9sA/+BfkDcn03c+nLt/wc/2yaYcHWWXMfKgD1zgOHwneCW%20F37IAAkA8R4nhsgujoxOB9Y9g4LeB6gGAxf/5xh/aiGHbRv3hxzP5Yk2gzqPgh+37CFvaH/YcySf%20d2v9gEqQ6gNIa2zt50iQgCrXaRGIiCx3A2U11xWHaGbFBxKYg1nIhEvAhiyg1iFxV3ZYc32Ngojw%20bDiv11xO+zS+8w8I6H4men6Onz8v1dAplnRgLhZID97ZgBKI0HJYthbaiwyIB8VffMZvfMd/fMbX%20AR1YhVW4Bsu/BnIgB8qPTCzAglMggRQIgwyIANLHBh1oB3K4hnbogz5oh2tQfGywBsW/hgigfcuP%20hxogfR3Ahv92IP0IuAdrwIZhyHwp6ANrkH3ar/1riH3j5/3Sxwboh37In/7px3zK/4M/WAUdSIE+%20CIM+GAZ3yIVcUDJY4odXXIERoCz8YKb5vCSw5mkR0IKfpYQduNlnlQRoFR4WRq99BYgoBw5EIjjw%20gImEJihQ8OfwIUSHDCNSjHjAzQEvDSOa0eJPhBuFJpqQbCJyILEDIrwA+SGIpCcIEEhBGLiPgggR%20UaK40fnjxwGSlbIcoLDz374sUbSkc0WhX78mICns++eP379vIwokePCOwb8HK1YkSPfvLNqzZvfx%20q/EPBAgmOPypzEnMzAccH8xE6kvhhz8cTEDECAIXB1BiDbX/MNbC8DGFogwPDmSo5SzjyUU/MBkM%20Agdo0CBEDLFk2tKDD5Ik+fv34bWZA8RymjHDMPSHfv/07SVW+swZSZ3j4jCjjhixJlRevBChBW/n%204j+i9NXCmclr0P8OUJEaCbcIYrp1Y83QIeI/3a0LYNDwT8W7sy5KEXjwL51uB8vKESjFQgJS8XxT%20AIEFGnggggkaKIUUueRyCoSnSOOBg/k4c4swoVzQRxj2XBBBBHPM8eApsoSBiCynEAgOiwVASAIJ%20EBIIoxRzSAMjCZmI+CA5fXA4h4s4niJiGCLKAmMB4CS5pIJNKghhLh5ImYsUMcTARxjW1MBMLq3x%20008BGYyQ/wFaKpTASwULZCDBBu85oA0BCewDYAFg/ZNQSf9EUYkZY7ixwxxWgAZVa/28k05raaH1%20006VSTZQQjtZdtZPlf50FkOKaqooZRRocSlajEFqwk4lmaQQZSr180NJIkBwgQc1UfCOFl7oFIUX%20XpjwEwUkRRJFZEqdVYkJ/zi2kQhNFFXVVVlt5YB9Z/GTQQnSqtDaBgA6dN8+8fgDl1x0zUYMPHgx%20o4MzsrQDz1+VcAZCEIZ99gMxVPTlT2N99WWQvrIdFImnEEVW2XWH4RCMYDigwwMRNxBBBAtzaOea%20XmaEF14/7ESG2zs/fEAJJQ48XEwxmpxgGHZmJLYcHM35A/+dXGb4o68/12U3V73dfQfaB8iN9095%2050GUnlX/sKdBm2cx4AIACjCwAVb/IMACBgRwEoJ7742wKdddc/3ydL/6A5g/WZgAxgRCUJMDCfGK%20BBcECalj2E5m4HCYGVGYAAEYuwrWmcp6R/HBIXzwEQR2dav8g9h256WXnnzWNvlre5lBKahep9VX%20FK509kEU3OAzAQmRaAGal2CKmUG2ADpQyjIuOI2WA9NU0F58CkRbECFN5OqFG2ZY8cEmTsACBBDv%20tOaPbtLy8zz0/BCbRSUruVIJ9vtEsndC8ngvPfbhY8+P9/JEfz76/LiRqyDYmy2PG+afc44bIZlA%20bE+5gi//0q7qREFUSXKhC2XkQwQHkMDL8ra3uJmAVm6gx6cuYIEEAKgfSvlBJby3j314L3tWwYpW%20wtQPCfBjA7rRBQIwoJZ/JC1RJIwHA0DTGXZEAjkUIIYWVoEJIjCCEUQ4RijUERpmDKE0loBDJG7G%20DhryIxL8WOISm0iMSHhPNuGRR8GwI49xmSAucMnVDjyzjgDAQABlBIAVBkMFOAyHCVSYzQGykAWS%20yOEwr0gCuELwBAHwEQYGsNcP/vGKIYQiFKuQAhpiAJIx/O0cZgMDGIjBDybEC2XnqKEI3liJzsgF%20DJFYHtD+YR70qMdo7TmLBjTgDwKwogIqiNo/GGAfFTjg/x8SONQDoqW5XW7qNdOhzk82oTIIkEAI%20bFgCG3IQhiDoLW5wMVtC4lW3u8WsmQn5wd+w80uPpSAc4UgBdhJSG0ZF4gd2w42eojA5ysHmcv+o%20FC/REgkwmJNnJmgGNZ7RhVdQIC6pC9OYEvWPFSygAIqSQAhmwIlvnMUfGMjAAwogCyykoRFpWARG%209ZCLDzgDE0f4gwcK8ABZivQBCRApSiP6gChJiaLgWGkuZCELKUlDGljAwi0K4KAo7TQXD7gpFlSa%200qEKFaNpSANLPXDTW4DDQeBYhDR2ClScOqimVo0oEOzxhqOmIR+OWIY9cHGAk7qDpX84a0gZgAV3%203AIIFv/wgy6cpgIPkCKit5BFAW5xUwcxC4RbwUAJG/oPbdigFAogWnw0wID40GkDN+sISqLxDwVA%20Iw49jEMi4IBNK/gCAKj4LA+QkYQP3AE2xmrMOv8xGc1U5pyAw4kBTcBJJuQkjIYRBg/MyEcAZOIM%20IKDCAWTIBDgeAHtSkcPnIiELuIDAATBgRB8N8IIk5MMf2cDEZ5dRhEDEYCA3A11CqnM3eTFBZrMx%20IDZ59pCiBY2URTuaWc7yDgSEAADxwEp8iVY0oDHAoGjpxz4EGk+uJSQJRXEDFJjABxCYIQldYAMH%20aMEBaoQBBJW4Q7zgxY0LkMAEZfsHXg4RncDVjTNBMNz/K8DwGldQ4QlXYAMRrDEGmZjgAj/QwhgW%20MYbX3CELL/PHGFxxqZrhpXKXY1QUBvwP4CUhEvE6xAQkzAEOJOIAYzjEP1eXDqz4gwULiMd9/GEW%20f5SjApxAAFjeoQsM1CAD+iDDMCZhjUI0ohF/AAIEYEEDJQziFBlgQAcccNJvJEAB8VBAB0ZQAwW4%204w8WsAIzrGENXzBjEn/QwR9WsYp2oEMUwsgABkawCnto2h72GEGhRYGBBHSgAIludQYUEGoFZCAB%20NejAMO5hCh/kwgIW+MMXnOADUViAFMPINRaGcQkp/GESci6ED0zhDnJc4qyZboc9yEFRIyhBCW3Y%20wwMm/8Rse5wiG6iAgzk0PQwdbEIcyECFDPaAhQygIwH2QLQoblGIVfyBFH8wC4BFOegNOARAKnBB%20Cb5hpzZhoAUlUAEqR9CPi8GBChS4AzW1gIcblFEAjOABPh4gCRwgg4y6NQAxYoCGuHygEtHwlAQE%20w3K+UIAze6GEGXjDG8sxBB5JAAM3uHGAljXnA/DCAxH4yMds0AMEZyCJQ+TYF+KAgTlNeAG7kkCM%20eDFBF3vsYze20AAp5IPjZYQBEa5RD1cEORp3THESTBCJaLDDxEwY+TsDWYlzMA4eY5PEB86iG7PE%202r3raY9D+LFYXSwDACOIj1ogv1/FF2AD+QUwLJWsqP+d7MsNV4ZLPbiRAykjMxV9qEQ/DBOEFETg%20ApCsrgYokRcmHEI6O1Hnu7B0ADAgjBKpWALw2VCGHSTkVVHoh+fHsGOZvYwdOwhGOffRj9rs2LRI%20VjKTnRwEHGRjylPuxhvkMIYsjwktD6hBCVJRDv/+4x0lWMACHCABsygA4vzQxxzuoRccCCINmfAD%20J0CDEqyBIxhDWJzFBrhH1sRXOqiABCzRJujBjtUeDkgCKZhBFthDNUCGCWFQJUxHFsxfZFAFfrCQ%20QEHemNXMB3gBrxWfD8iAKMiDB9xBPXxAPYwBXtSdXMhBrixCOvwAtb2KUugNFgxALHhbLHCCNpRA%20tbH/gz8kgTdgAhx4BF5IwipgwDHIQLxphKfwnWOI1Q8gDynEhz9UhZgcDVrwgzJUQDk4AAOYhQQw%20AABMQzlIywYkAAMQAzIcwzF4QzkgwN2AgDMgAyN0HAwEQDcQwDxoAioQgSH+kZUgTuA9xj9k014w%20hJHVA+UEQzBsQj3IA0O8AjeYQyocQyIcAzI0wQc0QDFUQBwonQDEAQAgThMMATxQTyVMkdNJQhZY%20ghM4wTGUgDfgw9aFQzEsQMd5XBzswi7QgQs4Yh8xQifg2BjQAwYgAB40QyIgAwnwgznNll6cA5tU%20QmuoQw31QyUMjwZsENGM0tCUEhqiRQcQgA24AICg/wWboEWiUF6AaR4vRUNBIMcBHEIQWAkTvIIQ%20LAEHIMEVXIEmJIMjXEJhlAM1PEEOREMUXAAE4MAhqMzZ7EQ94cYYQEEYcAMEZAITRIIQIAFLckA3%20FEIm4EAWyAQeHAMe2Isj3cEdkApyJAQkBZImTg6lHMWAyYEc/FxhSEI3LCQScEAcCAMuuAL5ZUA6%20ANw/lMM0xB8CtYkCrAALVIVuJMArMcA5WIA26AA74IApYAId/MIv1IERoEAdPMMyHFaZNJQENM9Z%203AElmIIpYIfy4QA7ZIE6NIEWvgADSEBmMIQG3MJjbMA7vMMGVIVZgMU9xkc/4BeIkYIgiMDeuN4A%201P/BAJxKzpnBDriBKUyCFZyBFPCgF3gCBYABIGBCQjxhHmzBAtgADbSBEdBAFfDCL7CCIrgAC8jA%20GqxBGwyAH2zBNozCIzwCDRjBFMgACyCAD+BCFvwABeCCE6SB3pjNmJnhVmRAP2hAOkjAA2gDL7CC%20C4CZVYzAAtAhVqhAAtSaKpBRDwUAC0hBIBQBJ8RBMjJCHCzAes6AZcGiAchCA6DBGehBARQSPoSC%20MMwBa0qBDjBDIanAufTWHAwDKh6DAaAiOsxBJkgDPvAAGQFoAODBMtgBMBCAEBQiHwXADNQCKNSi%20ASSCAeQoBljJGWTCMcCAigbAMShDD9jBNJTCE9z/AB8xAjIEwgkQwDO8YpMSgTLogGHAAQ8M6Ypq%20lDM8ADoUEhzAgSxsQiZIwRl0gI7uaCL4QiY8gAbcY1ZkgOGZkmJt2QPMYT2SYdRUhWDxl3/xwzvo%20pT9qSl+kxEAUDhoYhjEk5JQtATUUAhk4gh+EgyFUwDFdATJEwauAhsr0TRTQ0znxzAeQJBVAwBkw%20gQlQA0uypCzOQjjESgR0wzNwgTfcBVSww04MAT6cAqnQ0z44Q2q9E1HGk1FC0uEcgi205IT5wA5I%20JdCoTvkdCoCwACfE1Vn4KQOwxXvwwwiART94wAmwwCScgBpAQi0QgDHoggygALd1wwyUggPsQwEA%20/0h/pUU/MAAD9AMQAIITnMEdjAFySQIQmEAjHCZmaIEGgCI9lAA6OAZjCB5S4CNWkCEqgZgZ9B8D%20XYATxAIgAMIJ/AGIuYIruEEJaEIa4cAO/A4FCIMMYIIFDIIyEAAwAIMLTEF0GkEbFIIE/EEyFIMi%20ZCUKyGUV/AIdQIIYqIEa0AByjgIrTAMnYIIDaKcnyAAsbI/ZMEtVhJADvAPEnQUAsMA3kIk/vOED%20EEAFtEAGRGY8OEAB4EM3PFcABIAi7oIdlILJNSkPhAIYMIMv8EAyehwcxEAgBAIzFAAViAAcDIEs%206ACDWCg4yEIo1EABDMMZWEEmuAMmxMHcxgEqOP9AJugABKhCNwRAD/nQM0xDMQTCNQCuGaHd+7HC%20ERzD3HYDNQRAOfRBIDAb7T4XEQRAHEwDHRQDGRyDjJpRIviWJKADdDVpAMRnMRQBMvBAfjJCN1zD%20HWSAO8TDMWQDDyRCNniDPVioFDhAN3AuIm6BDjxAthTN2NZpPP6DBrAAC6RCKoQAxEmfouxjf0kA%20W8CSnBbqWdDePkRBEnBDP+BAQYaDJuCBLQRfInwAO3iAMaTCKCjkQmoCCMjEjkFABOQA6UDA4ICL%20GSSEIHjBhnXGH3RDq3JAKfhCHiSDHziCEFwB8D3BBEQBvAQBBKTNFXRBBMQNJGGFUOZdIA2Y8iX/%20xBnohSPYMDKxgCz8z1R+rVUswwLcjgRoQAGkwwaAhVm0CR6eBRwcgxLUgVsuwwh0hAMAwABOwTF8%20Ay9MQypUBT8EmnuoABVHwSXQwBR4ABD0nyl0Qh74Qbd5G6llQWQkiylAAyx4wgG8wwceMQO4RVoI%20lATEQzqQAj+QRBacQjN0w24qQdF+AgGwgDmQAyEAQiwMAM45RS5IwxAgw3FiwgLMAC8kg4QUQixM%20QSx4rCzszRhYgy7YwtDWAQ/kQQM0QoINwhroLCCEQAlwAivMAAF4Q8dOgTgsRTREDQjFA3tMrAYk%20QJr8QwKkhQa0wDQQgAPohgYoAD3AASrAYgDQ/0EPNAAxWMINzC0qcEI2PEA0eBIy8NBzCSkBnAAI%20aAE8WAIenAYcEMPj2EZ3vBFeAMcrAG4PwcANWEJefAADcFwfwQAnnIBwjEA2EAEP2IItJEITQIEm%20TAMvHC+R7nAQIAOT9lEcLEMeHMI5qAIPfJY2iJ2VgAAxGAAMPFchMgIn2IEdcAGA9hER4APgyAIR%20AGhRd8MwwAsIhELSve4K5MOg0rEoCc16wWN7cLF7lAMnLAMBtIBdklAlS0v/ooXyCLCmMEEmaIHe%20+E0MFEERTEIPC8ETcGMFvoo1XPBCcsAokIFGvkYndMMVrM0FjHBclLAJyMEOXMAFMIEUhIAt0P9C%20U9KCMhyAFUxCHvTCMwAf8AmBA8wCrDqCYy/BM9gCN0RKIBUxPCHxGOzNyJmBOTwBGzy2KvSNh0Ur%20QJEtgMwvAJRDOZsfBsRD1vzDCDxAP6TD9LZBHfSCB5BKy5YAC3TbLtsHC9gAAexDnpbD1pjzNThA%20G0wBAJxrFUxzzdYBchLB05bCNpQDLHzBF0CDEyxCUfxEFpxFDazAt9oSPwTYLXVAKmDA/DRBIzhC%20KTzDLygBtx1BL7TCNGT4W07BFABCOQBA48EJJ3QDckKCNiBDPiSENAACh3M4IIjCTiifLHjD0CpB%20KIzBHciBIFhAMjDtFECDI4iDCKADADzCNIj/AYePgDg4BjdnhTfrQl6ihfqpQAcojXvUwDYgQFXs%20wzvYh1bDIiaQgcrtAz77ECp0wzFYBQVEAjIA6Ol2QwXYgSYwAx6gwtwGABEgQ82Bhh6IgiqoAj7g%20gx5cR0U/lxlZbzHMQwUQQFN7HCNEgudIwQMY0QQUERyAgBwUAidAF3R1QzaQQR+AAiigQoA6wSZ0%20BgSEgiW8ABUkgA4UBuIQw5a+LiOsuhQ0ACY0L3QRATSAwiR8QEX3kAAEAA8UALzEQEB7nAAQwQoE%20ONEQngLA7yl97Te4AAEsoX+xhV7yr3+pQAiUQyosN12fhZV8gAdrJATkQQ9wVxAYyzUEg4hJ/4JM%20nEIAtCoSjEIR+MEJuIM92MIxLQEOm8AHxAtiaOQhzNhJnoAhNECZQUIZ8AETkMAF3MElQFhLCoEj%20FIEhGEIrXMGUscECTAAD/QA/pNZtxxM5ls3Z/MEJzAIoFIEuVAKnDveXFPcB3kcLVIA22GUXIwAn%203E6cQneb+MMNxCUKGIBMAMFK+Nsi3MIbqADBSU2GL4MylEOVtx8GAIALcAGJr4HS1sERAEIzDEIv%20NLMR1EEybAEB8MIMVAHSfqwTFAIWyHwUMBwLyN9+fRAGVGcURIMTvLenA4IRGAFyYo8PfMOF10Eb%20WPd7T8NzqkEc1MHQtsEXNBFAakE+WICUFP9AGpiEOMiBNfSCCwCCAaACAJy6HEDBHxjDKToBIFiA%20CZALBIgDNEzB4sMCLrxAEzQPCFHuNxzKO7iHAswhJ/gXZvpX2faXP8ADNMDiDeCAlWQSISECGkhB%20JphBPgwBFeABJhBnCxDANxADJjzDAsztRQfAH32SPiBAIz5MNzhAFSIdLB7iJyjCKBRD4DJCAUgC%20uADEGC9uYpxxcyBIkB26YAhwCCMApFq1FMVp6FAAsnPnrCSJJkfOmQ8ffvhLQoxYImgslmlbxgxH%20jBhwbmAUAKPKLjufugVghJHIiiJbegS4eDNbkn//+v1L9y+DAn9TpzL95+9fAQwa/knIipX/wYOl%20/DYs3fduKdZ//BgU+KdB2QIbFUo0XXoXb169dxNm6kWt16BBWwLFQBOEibQohw4xYQLhQpJsSCgj%20KZPihB9NALiwWbKETRcIHxLiiAKZiZwLECwUaRCkXqFCi4IxIXGBnQ5qHChzEELCMJpybHiz4tIM%20AoQkP9KZcW7m3w/pe6n/u1PShAkIxvwgDobDjIkLJrDy61cgw4gMTr8i4MVJl9elI1pU+Ha3hgoJ%20I24YQYECEBIgMEEEQbI4x5UxXKFnqXf2UcCFClhYgQUXSqlgmmkW6AYaI9rohZwXCHmBigsGWQMF%20I26oBoIohPlChiOOGCAWSGZ4r5VkEBih/4RlSqhqn7T4ccDHLR5hpQ48osEnGxrWWCMWXbg5QAQI%20SIhFiTZocOKLUAa5bYIp/lNiAHH8IYYCCqLJLrsmmojCBJAc6MWAKRJpBojU5GAnCyrgaCKNASOh%20AE5RAGlDiXJESKMJu/j555satOLKqgI4AWAFCeTr6p8NnnIqHgnawcQmRs6RSQQRqBDBsCCs8OeH%20A+R5JZRXOshFDxUiSSKUOHoighEYiEDmhR/MuCOVAOIgIoAARLkDlE+4iKNUAzYBIYgwagJKGhyw%20BUEgN4KI4Q14sOVDgaOEBQCUcMKR4SeMANmEnU1O2mEHHEaqJJJIDiAGnlNk6eCBXO6QRP+mIbZ1%206AYnyCiilDh8wiiACui42CKbsjHPqkejoqqqprCatCyrvJLPrqbeSeAbBpbq54EH+ODjCt6QuCIC%20NNAoCDIDeCCDCSjkOCAJOXAQ74ILQDgEjlSpyIED3p5IJAw+PoATAldcycsfDbAohRUbXBjmn03y%20WWWWqHvrwgomcGDnHFygCCOKfHDwRRMyzgBBXy36gTOKKJi4oxXPlqBmgoRiCKIZ4mhZggtjTADD%20DHag+yHwwEsaEFuZmIgiEiq8EESOQz5AOjkc+tCkDxCY+MCfSECPpLzz0lvPra50eQCAEDj954Fy%20WqA0AQcyyACBFrJhAZPeFVCgBuhrmD7/+j0ascACD/B4co06WPnlkVac2AMQQJxwQoZjfMBiHWEw%20YGEbTGSAZgsL3EGHEELa2L+NWI7gpAK7AMYveFEHIyiBCGpoxTKOoIliqKEXKKABK0qxAmxswh2p%20AABLWsACBGQAG9h4AwKmMIABTMEJjRCGHjxwiRVgQn4tKIcDFDAC6t3whh14XjXaUY1q1HAE8YhH%20ENsxAlP4IB72WAUzFDAAQKDQCSgUhgI0sA9+eGwE6NGAVxjgD34QgADleMBTPvWotGzALcJYxgK0%200Y1SsEAF1ZFjXuiRjQDY5AbXaBsTDBAvAdwgAM+wgyIA0AKfBOsGlhjJPxbBglKAkQDD/5OAGccy%20lXREg0pDUEUAukGEnhyjCYL4ByUcgIpHEoATIRBLp7Ciljne5Q5mUEEvUOkCArigHbuCRycw0Q0B%20MIIRREiFL3yhA3ygIgBEYFY2iNGgfwTpGxkAGVZElpWtPFMCKnjACjrwFqfww4tZQWUqKBUWPqSg%20ZpRZwjF0FgMQkMAWz2CDIu5xCHmgZAw4SFrSlrYqERTiCkjgzRUSEQwQmOEHk9OaXvghgQx4gwWq%20eNk+KpGBJ1SGFrbIAg4kYYVKYKMMo/CGBrDBAjIkxHU4qASbsmPQCVDjCtTowgWCwIeETOAJUWOD%20GiIAhh/84wNmoChLs7BSMGBrZzjIQv8kROAFkOzgdMlp0RxmEY7FMWEM7wDDVsFQO/Sox1N2KcEC%20CHAfp/jjGwQowace0IEEFKADIcAABnShi/yoAK95zWsjCOGB1ahiDUYwwhqOQY4LkCJ//otFLKAh%20A1MI4w24EEYhYCEbWOSBFHpIAyEGoIQstQGFadAD9koAgMAqIQCPeMRELvaJCBKWDA/Qhx4Khg1m%20YGMY2MiFPjahB3QA4giLXewA3rABIHjgG7AwoVwTwAAGaFOv0XXudBmggedGF69p8MQDCpALINzC%20FIudwmIB4Y4EbKAf/cBiAb6hgacESQMA3EbJuFKALb7DZf8YwQMk4ABlOMC/GHDlK6v/QwFkBOsh%20MKgALxQxD6NgBAZxQEU4zqADADQLBsJSxcG8+I3/6gIBGNjAJO/iRefsA5PEgAM+ONmTACQCDnBY%20SgEcgIC6IkABaPGHBFRG4Ls4hx0eDoEuQuCAfoEhErLIRil+kkx0/MM5qkCFxJSVDRk/8yr/0OE0%20rTKyrUggvxIoxaXE4kp/dABDK7gLA2qwCGUswWZLQIUhDNEAKeSgZlETgj7qQYIkvCMIOjsdGBaT%20iTHA4gpw5gAbEnEIvmWBG9zYgRs0JQEH8SMdXtkAA1RWRROconCg4QIAemBnfeaUA1xIRC9WcA4z%20zCGW/tCcP8wQ1DtYyRg5uMBigrED/1dEQAieeUYXIq2CejAjGGaQdeaMdYgwuCESqwEDCbKjDnWI%20IzncuAMOvOWLIszhA/+Akwn6pSCv3o4r4MzANubyjaYECQMLcMBdJFAAFfRDAu7Ft6fSMs2pCEIE%202blAM2KxPyWEYDUm8EIavuAEWMACAd9IR0loTYl6uMENO5DEB85BAREMQAYy4MERMIEAXPijo15w%20QorWcAM87AHmKXBCLAzwH13owzn0es7On/OPYSh3AFzygaxNkIUsvAMXuPCUWtLrb6pQ54pRj7o8%20KNAPo0ehErcIugmdgA7p6PhR34gHexnwqKYUoBQlyIAExBKku7zjZAp4mRkH7GPqaP+gBN2AQbCC%20uYVi/L0b8do7Ml4hCcfMARmJN4AqqMBttPzOK3VfykiC+g8tiEAWDkAGHpChDHwc4ACS34ddsmz3%20HzvnHNf5hwmiEYUkwIMCSuYEMCWMjZHgAB6qSDwyQiB3rATJY9IEWZetucXfp8NCnEhAXvoR72mU%20gy0JQB44QhBQdXahCNkvAjWWIFAOXMEY4LjGNb7RB0QgwhoJMEcnrEGGRVQ/aovOhjX6kIFvdKIT%20orjH8Y7XAf934Bs6IHoyAAOiYhVOIQeogQ24oAsuQftOAM906hd6IQKkYRiGgRmOpxP473iGwQE6%20IQIigAROwRis4R7uIQFIYAKEQAj/bKEXzIEcFKADrCEDM2ADN/B4+qAP1iEE7mQCTqETqsH+qgH/%20OuESJkEHHqYcdMAa7KEIo+kEz0096A0ACEBD4uEqVIAfHqAEXuaZHiC/TM8LAs4EPCAVPEsJYiER%20LGA1RsdNmuAAVkULfgrKnENrXGEkzMDjQuELYC4U9mAIDqDWPiC8nGQNeCAUmoAQ+CoFQu4/XMAX%20XO057qAeJLFynOMqcEEQ8gfgxE1z/iFVSuyVnE7yliJNMEdz6EER8ycN3MAfKsGMwk5SMKDsOiUr%20XMAGtGEE0AJmMqACVqAAgsShLM0s3O4dSBEZne4HSuCQ9s4APkASziAQEiFeGCEA/yxBBCQBBEDg%20DkTgBYbgBV6AGLiNUp6iH3hRvfbBiszjdT6AHfiBAkInDulBHqiACv6FH97hU/pBLTJt9MDpKpJx%20mlJPEn/gb2SHGMDgAOABD5TBAAxg84KB8qKBCpqgIonB7bIMmoTv6aqJZMBCA8qhHFZAKtRrKSQA%20AziBF7qQKSTAHSDgFITgM9hACCJAJs7AA4SAFirjCnzBDJKGGeYmBfABDm5jXPoAFLjgMyDHGBJi%20E4CAG8AAF97gHeBuA67S0hjgHRpKAzZAH8kBCM4pHGABC/4hCKTAEHqAGnYSCUBjAiAgAiJNGsSB%20LsXhDoIhCILhArghH6wgCM6AD/8OoQBegQRIgBsg4wJIwBGUIR8yYQ6CIROCYQPoMhrEgR7eIAwO%20IQeegBZ8gwS27QzOAAKyIAlMYHHQYBZmIRM2IdJaEx7qYWakMAP2QQv/IRVYIASUAQBqgCue4vGa%20gh8K4AGoKR3crjirwzlWCgKuYQDwYQ++gBwGpBLMwBXuiQKkA3OA4AcqoRJojR0owQwwbmtiZ0Am%20JwqyIB3G4Q3cwAKSARC8oRdsYRA8YAcO4QwmwQ9agQd4oBy+YZLOwZlKLL0qwej8gQJA7wD4IXCy%20A+sOgAKuIh3SoRRNTy9QMQp+gB/cYAxF4DpNAAjUQha1wmXSgSs0YAV0M44KAC3/tGEBuqkt/IEB%20SoYpKIlC9+IHdAET9hMVsgEDHAMHxiBZ4oAR3CgEtOADuG3jXKGVjDTcxsJJqYPb9CWooEMLLLFy%20ALT0rGgs7GJC5ajWnOMVz+EHtMBA45ECiOEA4OAFDuAOsGXj+IGpUMIMmAAEMhIrPmb4PPKaliJ4%20ZmAGKmD58MIfaoAAFiAVNkAD8GsEtGMFr0AIcuCoggAEKqEL4EygnsAR7MED1GFOQyoAjqE00aAB%20DKEEbOEKEk0IkuAQgmATsgACwIAecCHqMm3E0kEf4W4f/OEcswMEoMBX3cAMFCcGbKH7kGABJyDh%20FAM7jeVIcYAbTOAfDKqm2MEf/ybnVZGMAkzAGHqBFHDAMV4nOiguTWqKB+BsCa5gAlyBo84gO06B%20GxJidcLhA/RgQMozElzBdWRzKYrTARbAX8vqUR6vzK7C3riUH/1BS0nRDCghC9jkDZsgErJjOuvB%20QWlnWTGnOyvHcsRTAho2O8oTWl1hIM7BA1aFG1ZjNOh0Uk0gHAsAQPsBSwX0Lv4mCv7B40TgALSg%20EsaNQB30ZVzpYP3N9LDCQn+KSlKlQ6HVLCBl7GhxLR4F7wBgGaTiLrRhBpYhdzSgA0ZAA/BKAzQg%20ZqyLusaWbMuWASQgH15hCNYWDvzBCqQgNEMAFRjhBlABFVSBAuZgDtomE3JlxP80YBM24bpiFMzA%200LnyyrnOwAoWVx94yxk0gLY24Q4C9w42rbrENixUoLrCwnDNtmxni7fAVg/yTRZKVxZeAR6SwE+i%204Q5cJQgkQQNUFw7gYRNC8wG6kj0yoAa4TE814BzPEQAWgAUUIAyzTAMwIATiaCnQaDXGIAxSIAXk%20AHZMIHBeCjSmoRVKIBn84A+swAkSjQOeoBA8IA+SwRDC4AK6QAi64Br8wTHMAE785QDkqO6yI1t2%20QB4gwwTMQCZ8oWZogQ0QpzwVQ3N+ygy4LTs+gAkS4hDq4TAjLRKCNQii4A9WAGi+NdymIk3SJAsi%20IJ3aUgjmQCbQ4AMiwAC6IAT/LoGYNgE6xg1OjIXbZHNT/iEEyqEEaiAtNLcAq4gpCsBlSK8q1oI6%203NEMCDRzZk0C2GEkpOM8uTMLMEc6XIkCXAFYKwEIPnY0R9NYMG4T+uG4VuO4jtR1wiNp0gGIqWkf%20itOVMqcf5IHqooPZfiBNhtbpqIMCpgIVpeNA3YAeCBQIanZpv2G/WmYtsMIBtMEGWOAuwFYBAMAF%20fEcDHCAEEkABMqADhsj/nkeTN5mTO5mTqyGLbksHJgEJkTABROEbVEEU7IEMHKAd2gEdCoCUdSAQ%20RnkYREEUKrmGamAERkCHPPkCg1mYhyEDJmEYZlmHoqcG4iF6knmTf9mTPdke/+whmJ8nHqbolatB%20GIQBHe7hCGdZBzoAl9EhFBJgFQJhEnx4A3YMrTqAd7NsUvqxUFngmsqjLLCCUrZSBQoAMnCgpgIz%20GIzYBLghAdkAFW7hA/AzGUBBGxSNFi7FD/IgISDjNpJgH953csDgIEhsLbRUUDXlHziHD8ZAHsAg%20Ofg3BsChGzozNFbjFaiXgKfjgI8mZfkgBpggPLSjRVzBpkghCmbBD1wnCPQlIDc4Wwchp7wvAEAh%20EHSGCRLBM3hhG1YgF47lH8SBpWAYB/T1ZLziiq6iH56iBipgAQqgLPbBh5+pjNTi8fRCic3AiwPH%206J7YgD/gDipBOvD6B56Yrv8rwS7kIeNgZdySg00qgRImzTm24BfUwANMoB/cxjH0wByMoRPOwi6q%20UogF9R+uzmYpQB7geGf1WB4AsvRqdC/6YfQCR6+pDvSkIwuiQC2CJAMS4AEwQCz0UQUAYAZy8QHQ%20Ygt1AYwwYC3CogBs9dLUMb2SW7mXm7mX2x+iQQJqzW289XUqQQL8JQkqL02iQQu00XW28QPiMbO9%20kimK0zymIr1qzXIq5w5Sr9ak9A7GwC4kYJ2dQkJ/d1+bW7/7AciolSnOgQG4WwuiAcmiwR+4TWWD%20imiogBjMQBuZgBLyAk87Ep73NL/KIWxGoGRI+y60tN6yIzjQAAR0en/lAAr/fGAPzq8fKiETLGAF%20uKAyOGAUwmE1tjGhksMfmnXZ5Nf0MBGLR9MEthEH7iEbOKEZyIF2KC/c8rgOqVPZ4JhNAgeoHOMc%20+kEHQEEKhNyuI0GO00FrEpP7Em0JumAWisAQ0AAc0gly3hICfkAi8zBco3gtbGcKj5EraoAfvfAf%20AGAaWCB3/qEGmgvuKo3QC73S6qEeko4eNiALgAAIsqAeYhUXEN3QCZ0eLh3T70DT6RvTMX3ENP0O%20BCEN6KEUtEEUBEEQFg7V0wAQZmABvrYrK23QDf0OsoDTLx0rK03SK53Xe53XPV1TrrLTNeXRfdcq%20xI69lDcdGIAFNqg/H28D/5TBBZQB+PZhjEybwNB0yn3UDMThyBLAwa0AB7SAGFKFGLTAW8EbFEXA%209NLEQe9YC7QA27EdE/ci3u+dSeE8TczdZxfJKmTbnfO0wq3rKSRgrKahFB7A7fL8rLxoKjSgAEBc%20Z0Rcp6PADA5BDlBdZ2SnEu7gEjihMpBADDIBMraxWifnB3Q8cHjc7jARawg7CrbxEMYADkLhWX9q%20DEZiDOD4QpvcFcxA3jEnymtWgXHaDKwAFMhgG19HAkRba+CS+z7jCixhAxAh+1qADdSJDXSNG36g%20HStvWWVTeZ9JhsBwLfJtGVghlRBVBYwnAXoZ7uNe7uHeHbBhHe7eHf5A7///wB3ufh3q3h0C3x3m%203u/9HhtWYfDjofDvfojcYYlMoRG+Ie18IA1MwfIbAfIHgBO2Ye6FaO57eRV6WfEZf4hE3+9L//NT%20X/Xl/vRFf/TvHvRXob6bAtlFzCz6wZFWIJLWTgOwYuzXgrbnfY7+ZdvdZhN+IAlkQRnKIQOOlAx0%20odztEd0TfN3b/d3hXd6Fn0LrXS/wPd6VHDr2/V9yFqia9N2gIuAp3Mu4Ai0SQBs4IRVUVBTDCS/4%20QQVGYGdTKgqS5jABYsehQyAoRDpArFIlEyYu8FgC8coKf1FIffhgxoyrjRgpRvlB4YCbfyRLmjz5%20DwcOhgw/MHmpJUokE1H/+l0cE4QgkzFmKEaK4k+LKxxjDEIAA4Hmj4tm/kV5iuNDOFAgQOAwk+XH%20j37sLlo54WcZrziJuN0JEigcKlpIkCy5kuMCBH+HXlo18yMKQ3//+PUrkGFEBpL8NvxzMW3Bt3Ql%20ESwgkEpCPw0YRqgogDmz5s2YsWDx4RlLrtG5wH1e5BmcatOmQ8vy/BqLh9Gm0/hI08g2FnCjZwPx%20U+HSJnB6/szJxeyOLzUnHjyQpTlBAejTMcsCVwBL9uyhu3vmDD68+M7eu2cHd72ABJL9/n2LV+Cb%20BpMIAPDipIzvPwnr+e1jkM4+6qFEYIEGkkTMAXxd9IFTBxyAxwwubMLO/zCcaCOLCFQcEIkWZlz0%20z0EiHIjSASJwyCEFKq6o4oMkvgjjixn9o0WLKKa4Inv/7PNPBh34AySQ/7THVwEYzMcASR2MYCA/%20J+2jQgIKvfRBQ3Jxc4gcfARhUBLE/OMPBEl18sQSHDyBjytRVMKURhz19BRIbhwQI0kqsWSCS0Ew%20EVMkSYjjzBhjDFQVE4cAKRNQHgqqRSRimgDBR0w5BdQHOOhQhA4gYFSJVvt8iIMFJ1hwhi54XABG%20MEwEEUQOV7TFATUTyPXDIXvelddeff0VWAZO/sNYCcss40B7GkgQQimKlZRAku3VGdKDB2jxA5A/%20aCHtARRstBGLLGYrJP+2IjRBbhMnagGmP/3440cxHtyRUUbrspOMGsxcq0W++u67r7fePshinQL/%208622/q74jo7vFdDBAyVNxk8BJKWjgn59lbTBCIwNHCNCC4LoDzHEIMMKAXdskgovLRCj4QGveAgi%20BScKfCJCBh0sLcc6kzhjjdFKG0nAQ+7Y449B8kXkP0ZqwE+AJhk2tElNp9MePxo8AMZPPzD0aCSC%20uqKFlRdUZQI3DBUCShcT0HTISib448ohXz/11D+uuDFSnYL6o9UHVQ0UCRhIaaXiB4IKSomKkQQt%201BjdGrT4D/98iFGuQEkyxiyzbOpRFOd8eEYRDZxBZbyuwBNJBEJAxIb/EBEc9eEhIGpFO19+ASYY%20P+v9U8My2nCCQJJQd9AssEo/wKPAIdEO0orMh5SRK9GbkS/fzEtO0rZz4i2SKxSUJNM3hbixgxkb%205GpCJSVg4sbB7q+I7vPw/6PVzi/W7/P39OOvYvJOvveAbzisL8kb0rHYw5cCaqAGCbPfgY5mrcBF%20Ah7fKAFk/LENVrggHWY4hz80YBCDoWtgKwoKSmxEJwcaaF8miZcLqeePEFIAXQxqELZS2B4e+QiC%20QyvSkUiyjwekIx1Q68evCgSlAmTtI1w7itcc5w9IXeACfAABpGiCg0Nww2xRyCJD7HaIHRSFblGw%20G94Etre+VQUEhwgc/0M+oiJXDEpu3oNcHB1Xx8VFQnKUw4teKmGGTHxgEqCYwwf4ppfP3YGQfQAB%20E6JyjnOwwwzwKNsEhPAEIUwgKUkwg0pmxzzb8Uow/1BBe1YwDV4sQAEkeQBfBviPJGFmPRCsJQQf%20JD8VMe9B09uIGSjgjz3mhW5B0h7ejum9nngEF3jbgSs0oI4oiCkKuTDFDiJBDD2uSI/cDJqCIMgi%20W4pznOSsZQlrqa1n/W8ED3AAkhKmARaAqST7eNax1pOOBOxOhQQSpx4zsIIFAMAB2mBFBUZghjvk%2062baGqHytGXCk6CQnwViYUleGC8txNCbNGQQwVw0NB0aLUg9VNqRYP+5o/n0RT/++cc7JJC8dDwg%20ARBIgj+YEIOcxkBuIZnJR5KCCDSYiAI4yKk0TRAJLwhCTBQYlBzax5IymmEHeetYQ0uiBS+pyAwg%20CEIMkpAEMBBDHvJQnDZdYag4ypEoUcEL7TLykTt8IBig8AU7hhmFrsxhFiGAh5jEJIlHakFw4rgD%20IgKRCzM4bgw4cEXnPuJJHIgSdxnYh37KUQEWaCABPPqVKdfDowIwwGIxUtEbo5CtpzBkqxjVChlZ%20AjAPYZR60WIIuQQhiKbo5VH9wO1C3+cv136EdiQRLkUJFCfsCTe5KmKpe9jpgPUkSWmPWUGSVMAj%20fyhAYkCMhwqOixL/kKEoEv/IBzvsoQ0XIGAZoihHCaywRjMcZKhmeAnHMlLDSdFIW+A9Cb9kO9tf%20BsyTjnRkg0Caw6LxMGlLA9YG/JO0Z+1HAv7QhQM6MB+KFSAJc8GpV3c6hgf5NApmQwMf3CACCnwg%20pwsxARgE4QWmjmEHcihKVP/xAfIJLLYl+cHiVISDrgbBxR2qkTyi0agfx40JamUsYyv3VjNAVhIf%20mEUqJHHaD01CE7gQwV8hcJFgDBYMJgABGtDQ2GDs4CJgI+MPIjvZXjFGAgxwgAs44YICZJgfCmAB%20AFgJpGb5o4GlpcBpU6sXE7D2hctNtAliG+AaPSgpt/XCHShyRRNk/0EQhMgfN4ErXOYVd5j9NUly%20R+3m5pVknQFM0sYYQIAKbINJu1NBBQCQAJK8g7ulJol4D7LHyZlhGLnIhy5EJglJFOoDITkRBerL%20hPtSroZNIVhIek2S/wY4I96aXJCZYOB/IJhoOzxaSRtMoI0Z7x8jIEApdAEmOhegnPSut73vje98%202/siU7wAKUDRh0niNKfJGIS+a5kuIZEkzqSkZwhmYIMVDMlhqZgBC6TrjwIgL+EH77jHPw7ykIs8%20SIzphw6lc6TJrAcD7gVAAX41AgXMYBkJS4cEFPCOfuh85zzvuc9/DvSgC33oRC+60Y+O9KT/fJ98%20+cZIhcTgHz6wPf8bwIBBMUBADSiAAVzvute/Dvawi33sZC+72c+O9rDXQw8XIMEFgKC5XPgiHH2I%20QQP8YAEgpB3tGtAAwwejAg2oYAW8qMAyBlPKfyijAgSIR0kUkAAVqGDvlK+85S+P+cxr3uuM8YcO%20R2AkWEqgoNOoQAf+MR9+ZHAb89lAPJSBAQXIfva0r73tb4/73Ot+97zvve9/D/zg3/4BGkiYDhWw%204Hmiu5/qIokKQlCBBSCgaRKIRwhqgP3sa3/73O++978P/vCLf/zk5348rGGNCURAB2fwBQCEcIUr%20CCEcmjCGB8r//XjEA/vxGMEIEvB3JaEBygAA8EY1JVEAAKAN1hX/RLqQAQmgAPgngRNIgRVogReI%20gdrXeZ9XAOw0WpMBAAQAAFgHLAyQAC5gA6XQAfzgDwzwDRuweTEogzNIgzXIAA/AAIbBGBmAfOYW%20dSrFfPpRZ5zACwCQJBGjZ32nhEvIhE3ohE8IhVEohVNIhVXohFBwCG6XCSBAV2ayBGxQDLNAChBg%20hVW4Afzxd9MlASrlJLuTDhnQAqWQCgkjARnwAPzAAGWoh3vIh33oh38IiEuYXTzyDaDnANzVDwpA%20ANNQDqc3MRIwAi1QDvP2DxvgiNiGiZmoiaX2Dv7gJE5SbiT1gwbiXBmnDQQQAiSxAS+3ia3oiiYx%20ENwAATEQBJTA/wJtgQQcAAlYUD/Y9nf9IAENtA8SUHKe6A8YMCywNCCk9YrN6IzN+Cv/Ax8KIBn8%208Q8KEAKsMAM1QDQkIQGwpAHfQGEjR47laI7neHAm0R7fkAHJ50NAiBL6sTH9kAA10Fl/EQ/7oI/7%20yI/96I//CJABKZADSZAFaZD/mCVTxCqLQAC4yAEV8AbqEAkHGZD84B/74Bd8EYDrooqMwYIl8Yb6%208QC79gAb8A4UiZIpqZIryZIt6ZL8GI3uAR8YMF3+AQALMAOloAFniHqMkSTJk2vPKJRDqYkJdDGh%20CHXKJ3UE8iyEJoBOIiBEKZUq5DhgwA2sAgW2wAFbyQGoAA/Sg/+Jf6dSxKhrq0YSScIXo6VnU8mW%20bWk/6uQeNVAADjBAEbMMCxACEsNdu4NPJFED8OiWgSmY8Tho5PZ0SKOUgCk1utYe7/AO04V6lmGR%20k0mZlWmZl4mZmamZm8mZnemZmClGDcEqh4AMbLGV2RAKFOAMn5mZO5eRC7crlPUsw0gYlQgmKvWY%20RJMAI8mavembvwmcwSmcw1mZcPkNcpkB31WJ/JAATgI1iXeEO2JZfzmY1Wmd9HSU7eiDiSkwpMUf%20I6BzJHWdgmk2XKESWQABtsAGzyAEJMANHyAJYRmbvVIghQEmhLgCTMIYojWe/emW2bVORoKWOuJS%20ajhPHxRL/ID/g0rHoA3qoA8KoRFadLApUu5oUopJIvuwAY15NeGpcP7Jlm/kEpKQBSbwChMwAfgg%20OCDii/PZcEypO6XUAjPAJOoSD3cooTmqozvKozkKoM8loPMUNUNjckojQN6YDvHglCDKpM3IFzvY%20g6LInQNzkmDiHB7KjE36jA2hEknxFDEQBmEwBgxxB1Ygn7dDnwWyT98Qa9zYgrHXgdIhpwUwp3VK%20p3dqp3mKp3uqp33Kp3/qp4EKqIMqqIVKqICaAImqqJwFJgFKk0IqYZLhfCWwACzADw3ESj2qqZvK%20qZ2qI1BqocsHIzGpNAmApVoqlVzqNiagC4aACHxwCMZgDhZx/6ajhHgEwpcAcHUupQIOAHk14H/B%20KqzDSqzFaqzHiqzJqqzLyqzN6qzPqn/RGq0/WohBqh8Jpm4SoAsVwAn1tB+V1anhKq7jqnQw5ZE9%20EqVJ+Y4C00AH+AAFcKqoOpQUIA8kkRTfUAqjkAJQAAoC5QEmUKuUZSC0+Q8lMA0z4AD78A7pUANJ%208g7ECbERK7ETK5xAR62g96jXehIwSBIs4AJO8gAK4ACgNx4la7Ini7Ipq7Iry7Iti7LEt09IiZjr%20KjAGehnxKq/PSAzf02IOUAFiEAZ8IAaMGAVZELBpihLPMl0OsAKZqjT7lLNR218Xa60Einq6Voe/%20w0oz9Q0K8P+sXwu2YSu2Y0u2YQuzJZEB2imlNBsjElACbno8OCu1rigHciAyQSMKLMAFx0AFBFAL%20inAKANuiaPqiBZKH3lhzx7MB+zBEjeu4jwu5kSu5k0u5lWu5l4u5mau5myu5VJuxBBpEz1IALFAB%20LTAYnhgPkDm3q7szi8sj63iY57aUMKIMvGCpJKFncsu6mSgHO0AMSRAJ0bAODtANqKAK0LANijAI%20gttrAWi4FFoSDPAXd7i71csxnjugQwOZu4MBAKCcJJGp5Cq+40u+z/KkCradbHsS+kGWseQCFYAA%20O1KH3yAehmq/h3q/+Yu/+2un7/p/D6AMpVAB5cAJK8Ct0cX/v4dKp4mqca7koreKEvvEAMQzMf8A%20H/thvRksMKz2uSHVQLrTD04jAZ/IAN+rwSectPPUHjwYqrNrEskjhB2wAKzAAjxCGYFRtjmswzuM%20rIkaD/pUAAiAABlQDgqAAAKUAGWbxPv3w5jhvCjBIxyrC3g2Av6wHgnwnCisxYt5MYX4AB38LENU%20pLBpkaVKNeWLxmncoxo5NCycvhdaIESiHyrwDTMMACqlZ5j5knvMx32sj2u4hhUDLFQjMQ2EPC7p%20H+mwsL/yxAeSANqwLGASeeq2xVu8O+uIsdkbxidBZ/vBIwzAjZUsymYps7KLoavWQP3QqyxAgumA%20GaOsiWMc/zXEKGHN+8AFknGtlA66UAoOcJY8CHk8LMzDTMzFjKwasC7rKJdg7FKzeURDgpYMBMtb%20bDvuEbujSIrp8MwMwCP1xADgqcbh3KB4WBI5l5aevHASSpnrIiSEC8EnMV03qAz4YcXx0QHbZcz5%20rM/7PLbI3HzHWbVD2hdAGM8B8pfijNAJjXSIWaFvLKovXBLq0h4hPDW4O82lpgH+UxJQezGDa6sG%20soaWpQwLwAm+rLA3KqkXncGXLJPxoclABFO4GwIuUAJOoi4jsKQqvbqdZZgtfMo6F9GMG9E2pwIK%200Ll+jNRJTZHqyL4bvTsvubABwriO2cgGMgIsoAtAuJY6nf/BMenFzOwPlKwAhFcKrNQXOK3Qaa3W%20P5dz3YyuPm0g/VClEd2NErABKMXVO0Ow2twXTpIkTNONtuzOBeKYsbRPzmnBDpOleT23HPzSCsQX%20g+cCWMcADKMBNojZma3Zmz3CjMEj9wzXBFJAnLwjTrJZjM26VW0Sdl2J02XD/0B8Q4SOs03btX2O%20INnSzAzbPDLC/5AApRC/qGd9TtcBxW3cx43cya3cy83cze3czw3d0S3d003dyb1d87HC1zylKTwk%20lhXW6+Yf0rHW463G43TLTOmTJKELGMYs1Ivaq0skhDiTL82RLuXb2zANK6C0VbwB/e3f/w3gAS7g%20A07gBW7/4AeO4Amu4AvO4ALOzVVjzaEdj+zBgsBYmMkjWrat4RvO4QjXT+cdwd/FABLgAAsw2SVx%20o+/Nup0HipkMqU+DJADACSXAAA8Lyjmt4jmbMF0r4SdRy7Xpja3kSh1O5EWOjrgM4geCASywAMqw%20Hv1APJst5VNO5Zc3jivs4hq7I0DSQAywdRjMbhVj5GNO5kfehm/t0C5M1yfxDpFnEh1Y5nEu5/aG%205INNIA/Gn/zgACU90A6QATXw5xko6INO6IVu6FfeI1lOoMjsjbUMNVg855Eu6fVGNZ6NvmsLxwfC%20kd/YAiP4sKinujmupar9JP/QAaUAAA5jNYWoAs7h6q8O/+uxLuuzTuu1buu3juu5ruu7zuu0zuKJ%20HtASpo8Lp6HOyQ9FTcmi3qRsTBLs2ONMyRd3vQyZ5WolzB/Xju3Zru3bzu3d7u3fDu7hLu7jTu7l%20LrmkHuSeBwA24L3A4g8JcMrK7p/xndsvDUQMcES1LAFuOun97u/iKWFp++xxnSQusAyMoQEZoAuL%20yvAN7/APD/ERL/ETT/EVb/EXj/EUj+5RTBIYUAIskGuGUQAqIBn/bvKTjtsLw8xZnA7TJdegpQAb%20cPIzH+kU5iSgnebxrorJ8w7lsAzcuB4KgAEuS/RFb/RHj/RIj+5nCSZGpM18QZKLLe/9aZzL/NJD%205I0aWf8DQVlKCvDMUw+iVuyJl66umQ7FGzsCM1ABgDa9nOv2bw/3cS/3c3+5Sw8sEvC9HLlr8Ar2%20Wlr1wc7FDBAC+Q2bGpAONI/4Yw6bK6y2Zf/Q5QzPI6AN2nB67fGufc+k6A6YPDibI08YFAv6oS/6%20o1+Ztany9l7BsF0OrFAOVrr3jgn7sS/7s0/7tW/7t4/7ua/7u8/7ve/7tq/CZD+zZl+fz7IeN5rR%20pVQDic/8RJ7kpN3s3Nr5Joz5/enV8/3i0YhPGcAJqZCWI+Dnhi7+40/+5b99BWCS5Jauw//4JhHW%20tXxELYjX1V+dS/8rGuCzpYCRqAesAMFA4ECCBQ0eRJj/UOFChg0dPoQYMeG+f/4ofhtRAAODiv/+%209fOYzqMEfh61rXjgUWO8Ai1dvoQZU+ZMmjVt3sSZU+dOnjM1vPtHMYMCf0WLfuyoUYNHpkz9NfXY%20j4FIj+9UqICaVetWrl29fgUbVuxYsmSf8utXIMOIDFuBftzHj0WLdO/2PfiGcYQCvn39/gUcWPBg%20woUNH0acWPHiwCIt/ltb4BvHp0j/SZDQdB8LXW83JKBYVvRo0qVNn/4K9CnIDB2MHgX5VOlWfpUr%207qP6TiQ/FQle/wYeXPhw4sWNH0eeXPly5P/QqmW7NbPHDRtWcEqXrp+KDgoKPLgaXvx48uXNn0ef%20Xv16//bt3b8371hoAo2Uo3rcF9ujhgQc+b2ToICP+iGwQAMPRDBBBRdksEEHH4QwQgknRNCj1SDL%204DekZMNgqa1sq2y3p/ZhICXUTkQxRRVPOyuttdriCqt/3nEAgPz+SacAGVfksUcffxSpH6Eymqwj%20pDZgiiOmJKAqnRo8/DFKKac0SwJ/SmpNQ/1m44pAj0oCSQORgBLQq9csJLAy275Kc82t0mzKTaZA%20iurGL+msSE6u9qmsn5Lm7AdEsWqzcE20nEIr0DidczE6rv687AEoFUjpHTyv5IdQra7E08gB9dz0%20P0QJDS2usa7Mr9MCQc0KUkGjovMdTb/i9M1Zs+oUg/8aVNjISJD+rCw0JkvipwAls1rTn1XjVLSs%20Mxl1as1mtdL0KE8zZdVaXBW9slCmIIUqWS83NQqsp4LM4Bstk+qwq273yYwBkqp6Jx4HrRUu3KIa%201PBDowhMFEE7sbXw0Pvi3DdBPr9cOOF/9VU2QbQcLhjPQPN97sWt9tlHt2afWmoEEy9WNlGulAVR%20TZKHW7Vkp/z8Fb/QVn620KPwdfNf4egsN0+bGU2Y5jNRjvblp/I18psaHui1z6C+dFkFJD1iYATt%20JG7z5ojbhPheEA0eENHVsKa4TTgzTfQotA9EM+I/pw34wLR7PnnrBZ2b8aMOMjxzy3a78jNTkKb7%20h4H/DUagMnHFF7eQUehg9OouJTnKiCrGL8e8R2UhE7np+6bDLSsrJXgyc9NPN60koPrpwLW+2YUS%20Kk3/5IcBB44MUMHs0uG4d93i4ge3d0rGLa7A0UY+eI535/1iIbXjp67fk0c+u945Vn5iP9Mhnne0%20qM8UeNx2ZxLg3bs3fsHxl7fL+JJ5xx75Fh9/s5/pvgFgG6xE+q6kK7Ob2NGC571+aCcq3sORrCoC%20MPAVqHggCdzFgqc9B4KvNn7CXqBq44/sFMV/QsqgBZ2TH1TVRnBfyszzUnW85BnwI94bIJ0KKMKK%20YCkjnkOKAZtVAAVwZDoJsJTEhKcbtFzveuiL24F2/2fEDL4vfA90TgPXN0TMLOw/8UNeVCYYKAnw%20ySLvsEv2HDRAMKYDLc3bV/GutzsFdYQirHNdufwWu6YELyQeecA2OOGA6fBHLKxCHbJ61ClAumtR%20f3ScxrSSGe1soASlWAAC/pSA2GmrLOPylLsIqa/SdOpgf3TVm6JSSNTQjnP18RV+bMOAECygHFP7%20jFkEWRpShiVZPhtNLU+kS5/9qnXr4hAdNbOfj2CAEwtYAUf6kYAaYMaZzpQegKApTczoppq9y84z%20tenMMvKuLtXk3QbA+c1tVlGaYJTABn4nTTNec3npKKczxelNzPDuHRrQAEncOb54pmMDGthAfuC5%20zv968gOcwFNUxhyVFcsxYAUuAEA54oWRljBABeARiAq+cxWDPMCjKshoiVSgAQZUFCHgIelFQWrR%20lqz0oh7NKEYPAh6QhgemJXqAQGha05ciRAMV1cBFCfJSjKqUAUHN6Uk/mlGXejSpCLlQZHBIJ+7h%20rQbLqMA2avCRAnTgAfGUgG7IWZ2wZgdA4gwrNuFZzmg+k6DDEh780tnPfwa0gOBMpzg7hs5nilOs%20ZoUnQJlUF+/Bq55gFas0A0rO37m1jPHMZ0f4sTdg/oNLWnnLUt6BgG0sAwAbkMpQBNO6vtTAtPGo%20gQJIW4N4KKAGIxhBa/dmWtrStnXdcS1rR5Da1e7/xbWoVW0Galtb1baOtamlbXFrkADXwla2wh2u%20aYvbgdcCV7oZGApzXxvb4A5mb9TlbnKNm4B4oDa5REnkQqGyFHgyoBycWEYJnMO07jBTtQpAbQYw%200JrmWle/36Buau87gg5gQFeC2S9r78vaDuRFtHzpjmnT9eC/5CXCEMavAgycYb5It8EYEEwNNrwX%203Jr2wwG+b35BHJga/BfFuf2wcAWTAMtRdKpVwXEHtLGMFmCANwnArmD4e9wOQ7jEzeXu3kaL29wS%20d7y0jcduGxxdD7emunyBrQLSpYDdnpcv/I3ybhXA3G8MJbzOLe5ghgxcLvM2wl0WcJoDk4AH2HGy%20/3GEDey4Mp0UKoMT29CGSCQAYKcW+gG6pc93PFqABMCWPg9Q9EULkFpDO9XRiVY0ox39nZYsmple%20rfQDYrtcRUMa0o3OiEY/CmlKhxrVj4a0S5hZAx1FmtWUcvVu6SNpTqNaRy9tSQKEPT9FSscjqVhA%20KW5nPzp7yI7UkZQENikB8FCFQKF5h7G4YiyeMSUdApF2R7zkj6AeCyo5DXfjcPQdy81JAhr90EXf%20KJLQpOOihOtTSfdcbViF5N5caSZTvsGSG/tjakAZQQu0QQAM/OMBvw31A6i761hrdNa7tvWkcV1p%20RHfa1JpOtUs8vXFDN5rUvAYPDzuQAKIuGtIj2P+1RSHNAOZ6Z9GZLgDM6Rzqieso1qfetFODPeqI%20d2AE4gzKL18XzC4Rqh8/LQUvlPG0fQiodqXyiMguM7h/LKVEFlpdUL5aps05nGrwesq88COpjshI%202u94AMgqIyNIfylO/PAoVOb17n9IrXBO+WrXg2SklvhDVj40uwJmNLXMZIbOdr8M3vwB0jkpiR/o%20VSjkoOLCfcQDAeXIl5K+Xbg+8nkklVySaprCM9DGizr4UVJoGEAREpFE9h7ByuSps68XWo9OWJGX%20ZQV9myt1cZmQUhJ7H/AWYopEBXYhJt7MXhl+/EQlu6kI70aEI7hAhj4Fr4gGnjKCVEwDAGUiKeL/%20b0O1BPxjAyZ6jD88yjMZSoDmT1F/Sfr3+pHUTkZQkoCloDElmQ4k0Sh8awqPyhTuww9++CcGMCgQ%202QcNCDyGCQmBiD4ZIZGRMRWxe4D8WAo6CcF4KIm62I+SEAh4cQ6lkyM9sxVvYwAMKAEBeSMx6bcv%20KQDCYYrbsxx/IBygCI0NqKqnk77BeQsz6oi6CDz7ywzb8JB0qgqLoAggbLyumw54ckCm0IDawSMT%20wY/LYCQoIbem8CfIYwoVuEJ4+gi7YICzWBiHy4zhSS/NuztgocCdCYrQcA7T48Jmqb3bMCCDmZrI%20GqCR+JYvvIyj+QjQAcKRQBIiVEM9rCGwmZmn//mH9gMJoIAUJnETPPk6K3S/vOk6RIwXPcSMP+GI%20EGSKeVq/yCgSp8G6y1CAFcgQuDgKDRifqMiMMqm7L1KgiiDArLiRqSkcF9IsvDGoyLMs/1FBJemH%20OgMZoDjFDSA3KlQU+1En6tBBJGGA4TGoktgHJEk3UXkM0MAPD5G9fniL6VAU5hvDtzARQWOkFeSb%20FmS6DwGXMMGxQ3w65guKAMTFogiSRnQM9CsgRGQKoIA+cHGOqjK9vwsJDbgUUJmaktjG/UAS5lsY%20O0GVPgoNNHyMoMg9/hOIt7FBy6iqUFTGUSQ29coKAEkZ4JCRNkQ7y9C7qpChg/EQYsxElTQ89f+z%20CP0wpTy8RESsjD7yCtOTP4icEQIxQNdTQ8BjKGVhR5UMQKacO5WIvBIMkVa8IftACoY0xEV0wmEC%20iZTwh2NJRjPsOoscveojPUvJjAVkSBXkQj3UwHabkbewFKewnDfCFax4RGfDJTd5GwCJPPvBp8LZ%20yVG0Qngak1VMB4kEzC+8EH7Arsq6LK2YFjJcExWgE2JZDX/Ej+mojNgBiqXADP4bvq5Dw4nBkYc0%20xG4xEggkRaq4wiWhmt3knTnxQUTslGPZIXUjRm/bTS3kv4PjCHGUrEahQ9khIT9Bmg5AEqRzzBBA%20ADXERbzZhxC4Hek7FrxQxMgzuFRwgAKgHSv/uYwQwAAZ2YC3CYFUUIZzOcQaSAVzzIoaCAEa7LtQ%20VIGt0oVdkTwcqQHDsxrdeAsS7AAWEBB8U4AAUQY0tEnvWCYVqMR/6IB3S4UM4M/HsDGw5BmnaQro%20yyHcg0gTSYlnPCQ8eovBWRP2WkCqoLky0aCPWIqUiEz9+wcFuIoFQkTKW72RsM3fVETVec8ZwTak%20yIypuT1jgRRwBBlrMxKKOKo5GcuNEE561My/+ZBpaVH8UEiP+Ib22wBzo5Hzgwo+UYEV0IVACQ1F%20VAAHeEIjkcFvsFAtBIoViNCK3MMaSQUIPMr1nEHpmw6HQgCqYb4R+IYCiM8yiZ5/iI4HcIA2/yS9%20f9CVDgAAXRAgh8OABMCAZAJGj0iASZUAXZAXIsTQDtAABBjU5qQfzvQkoTmKFViADljF1UmAFuCF%20cvCPO8KABSAAxQs3PSwBTqgBLsQ/f8iACmDQp9BEMa0AANiqqLwMBOCFUliKs+AeBgAAZlVPd1sG%20TlgBFfSQDHABFviGUmiBBCCceNAGFlABbQAASnUOBaiAEkiFUnABGXkKBCCAEFAGXphXUAyBUmhT%20AgCAOvkHBCiFb1iBCgiBgDKlgUMlET3IoBgeO1mUdAgB0BNBgXOBZfCNPYyKEHCBFcCRR9xBFjjU%209QsNzkIAejXEFQCARaUOitgABViGUpi6Hf/MjwUFAGH1R11oAVDVQV0oAQaYC8WjRucIgRJQAQco%20hxRNTV1IBQxAWCCsjHJwgBrQhlSQyD8pgBJAAH8ogRUgnAmU1g741xp6mjvbUmGCCoC5NiNZjdBI%20BWa1yXuqARbgBRbwwi38h2/ghFLAABXEijIhAALIG8spgGXgBVsVRaBQhgpYBsFVRgYogRlwAcTZ%20wR0lgApQBsIxoBXQV8QJR7xZhgWokQUoAWoUiRpYXAbQVxWgCg34hl1VBhdYgHiolH8AAF5wgM0t%20B5JNgFLghH9wAF5oOMNR3hlAAF2YhuIVSuf0l5wJDgZwAVZwAMRcTR35VQJwXhv9h3iA3Nv/+c0L%203IZpEJCl0Cx/UAZW2IbZU0ZyYwFWaIECSN95KYAFcAFRDLd4nYEW4EkffIBjKoXXo4gQYIV3JYAF%20CAHB/IcQmAZOKABWKAU8KQAWsIFyUIByYN/LgKdlYIUVcIAKcAGOUIH/2AYbcIBvmAFtCFUG0AYb%200AVtgN4osjuKvbHu06JNAYoMWIAKoJrMwIp+QABd1YXc66MSmIYUDqoZYZJLfGL1dAzLagFWCIH7%20+JMR4IUFaLim4IgCKAdWSAX9YAoEWIBp0IWwIRClnYZg5T6Dot0ZcIDQXQEhdI4CcAFe8NoZsFXe%20mGBecAEHWF8MWL6u0wVWWIZvqIAFQBzM/2CAVGCF8yMATli+LpIAALBjF5iBhntUIGTBPLtHTarR%20OYWV+5XhUTLBb9AGbRAQ7pmOB2CBCjjUTRzcaagAP7GMfVAAHP7O53ua7W2BpVhAD1EBTvjTO6II%20DKiA6Z1LLVrdBTjjkJA/T6bZUtCGEaCT3OWFApiBBcAnZ10BViiHBKDVGhBHDSAAVljUBfgspsAA%20Xd6HGv7OkkgFG1iBFZiB4k2AhLLerlAeWT0KNVaAZysJrHiAokVM9wNHwm3ZhHoHXSiFaTCRZ9sH%20XVjcb7DIL9EAyG0BzRPcAtCGhjtCPILcZagzn0mHB9CGUiDiUKTGBzhXAEgFF0gFQyTpbf/YgM6q%201H+oAQiWgBXgaUtspflkAQCIHTXGABaYBhYoQl1YgAxgAQJoAasIzcGlNfDLJFhBHpDoAE7ghbHc%20DxWIB05oT1Kk4RbwQukLgRlgXBw7y25FWRGeDmWYAWVzv4/0iBAggBGIwKYIgWdu41Xkhxooh2tt%20OD3U3mkIgRbIHwKk6chdhhmAESRZXhn+VQeQUQyYAaWu5TIJCl3o5wzgBQKQw6CobKzl2RoVZTy7%20kFKWHVDxEI4QiZRIAG0o3jt6mg44Wf4bxREohZwugNu2rG4lABOhiKdwJBfYhnhwTJLS1T2aQqZg%20NE6wVfwbxQyAJPlyTBxh2AqoayUpAKL/XYZlYIFtaNC4KAeVvo6Z7Dtl/ody2IYUnRFlIABdeNxi%203st/eCiprgBKCT8G2AYWoOoF+IbGybyN8aQ8AQ6H2yP/sc5+CFcBAQkkxFAEOFn4YwoAYAVWWGLj%20JB0HKAWoHsUFZIFkWwFBm5oHKNYHUMfGkYAMwCptoKSy6zq/Fec4pJpyYAF5JYCctrwS2AYNKAFt%20aEx+0AYEcIBpUDxlugz0Nt8FqAElsQrP4gQbWACrs5J3cAHsLIEKwMQd3moQtURRQRSt2AfOgjvq%20kIqPSO87xZE3LAdtQF8ZSQcF4ARWYFyuCw2pBeNvjYsTLoVlsJZU/AeIoog/IaKCrQBd/8Dw6bBW%20XmhZJOkYDNiGFSAAFnCBAvTvFohTbajytWvvBCgHAMDElv4H9FYBwu0ABoAg9wIADi6F77gM3Chk%20GawAKBGJdBjl2LYsLk2dBwAAulBGoEgHTvhrOgkrj+iAcEXbO3rGLGaFBPiT1dSAxyaAeEA6qgDh%20UggBaUTGZYDlpoBCXeAEy0VKoHCAIc4A0LLNwW2BU39qQfaI65AABLBgLxGJJX9YSMcRkJDdFcCA%20Qn8AYgwBZZ4GGwAAHTzvBV2ANgboVzWNeNiG27nRN1/WaVCGDpxCZQDWEEg7u1OB9/qGLgIZj0CA%20CiCA7K4q+auBCigF6K5OqjlyxbsMoP8ArXfo1hb4Vpjxhxa4V6owEYcqB7/u3dQMq1RggaFmUEJd%20Bn9l5B0JKhZYgcRWabuj6hkkgKL2kHeIehaYARbwJH9Y1Ir9JLEACYo+4u9WhicugEo0OKcmAP3t%20dTwq4wqg0bdwL5bHxD/Jc054aorIjFIRV94mlrydhrIN1HdIhbxOicJ3P8LV6GlIBfjzB40eAZM9%20+Td6h/ZWBhtYBmUiExZggXKApK0SFQlYhm2Q3hlgWjwqBR1bgGWg0afJkqULdrmVpf9g1YMBkKAG%204zLRQ11wgUL+iJq/xBIAAKkozgToVgTAk9pggG+AqK36OyU5W82KjafAgJduOItQzX7/uGHbH9F+%20+OD4JICpu+JvKN4FhZKSYFlOBgAMuJh0GIFyQABaHVeAePdPAj8FKwroAvDtn79++/4pKxGixbYR%20/xj+49evQIYRGS6CDClypMh+GCT8Y/Cv38CBqUok2JfuosB/KnQ52HARZUYNKTFc5HdRw8wHIRyw%20dOjvYj8NDoD+0xmSQYeL+zagTCc0A4ICErSGfFfDgU+rS/8VeCDhG9CzS0cspLqT4b4OEjCs+Mjy%2038MMBRh09flu5oYOPr8lWClUp4N9DxAkFunvW4ECGFSe3Utyc8sEK5YKvbhBQwhOyx7s3XsXQCqe%20fB+mRKArKlOhgFtg8DnzKtoVLD5G/4X9N0S8gaov1lhRrgZGfij3xQNQ4mLmfQVKPEhVLp7AvSOU%20aRiB/d/MfiZTYeC0wnDGgU+/lVsBe9/Do/8QtD47cMXjcg5AstRXB/4QSOBKGFlWFmcLgrTbPw8w%20tw8/AoWGQQcJSHXWPhIkkICG/cxkVQF8WbWBUBoo4JpICow4F2wPPACaQOmclUABLEngT4gZxTOi%20UPyodFECGgEnGkMKDMScSCNq0EGQ1PHzUAEL/SOQBBtahBaF/MzEQDo3jTgTaBt1VCSDC+6YEkhX%20UkdeUgQx5daONS31DmwOjeSPRiRtKFM6NLa3j0CwoWTgZqFtqCdBPIG1wV6whSYVA/+hAThXahft%20KEF3abbUEk8scTpZZZdhdOCZIqnUj0ozClTTCBo8uZdzf4Vk3kgaZHYRA0hW+ZA/PL2DK0OUMgAa%20bAwB+g+scIaFVqxVMvQAWmVJyBRPkQl0FgP9sPikaPzwk4BKsPmkgQoh6RQaAxsmoFmA/2QwYIFL%20sbRUgqcyiFJNQs1EoYogwaafP8deNOLATDH0DqUI03drm/yUxWyVZdEbYjqaNRjawaHttZQGQhGc%20VKkPqWTuO6rudjJtBwYcpVWdhljAPmNy5BG+p6aDUmo7dtxQzuW9IzFNfyb6K1MhBtzPntQFiRV1%20DYN0lnNCqfjOBnXCXKmyF53r0MX/O6m6U2Yf6/oviSjt6dxgmHIqENkKUkeZZZghfLOu0HY6aE14%20mzqSyzud/M5SAYfEMUh7rzTz1iA5XZLUP+60YzrZkgibVP0IXe9cA+nX98IgRYwwT/o21PelAs5L%20L4K52b3ZTMzaOroEEmC2YZoM+MSPCjotJe3drmHOwLl7S7BBOmVpIGxQQeaoY0j7JP83l1U6B/Dh%20K0mAuU4PKc0QiK+NhJK3I51bVqSFhsblV+RpyntGZNrcOkkncsoyT9Xylb6cS+EeloIyqS4oEvJH%20sXjiqL4NTifCKh2FUrMUrA1kYW17YFAWtpR+WUVF3MvKyjASosYNKkiPComo5lYq/4zhSyCrItRO%206KM471UKLMcbSVNqJSvXGG8l6WBAsTL4Oq2gxCf6mVypIMYSn4yOUxEbGIHAlbCF4XBN/ijL16pH%20oE+ValuJwxTCNHAnEsUrdQeyF+vkVxL26bAnUQPcwj4HIkHxzScdg+JmzlU3TB2rfkExWpvaNDm4%20SQYk00MinnayPlBBr3/Fa9DL+DITJ75Mcfvo2PtqZiYz8qVzAkMUdULUuYwJkDyF49hDXkiSHa4J%20Izj6VlAEuTDNLPJXrZKU2BopEsi5pW5CKR2mQJPK/IXkg9wjodxIlSu7fZBEQ0Fh1DrHG+whLDRm%20ywhKsgc+rQXycsMSiWs6JxWh9P/DUOmA1HxqQjxRQi6TGQlg0GpVnXWuRIQcVNC7wjivMaKljJgU%205MAewo8H9gM14wPYO3y3AUIRaJVUc9fs8lcsDeDkI9qqJnuUpQBKaeAvG8qfThTgpJyFJ2oMYJOs%20dgkakIkydwDbYfdI+LVG7mUmGmDJLluJPWFpxJL7vN6a/tmQfzJyJeYBVzhtxculEERmNenHUu20%20GQZgQAUNw18N7Cgz74Eoh4IswIVYogDKbcafQIWnQDYwKJrQh1LgzMg/k6UjrYSzLEwViaAaKpli%200q1v+MIYBHepgQ3wLpx95CW6CKgv8zBzIMd6DHF24qWdIIlkFmnIT7l4Fgn06AH/PnlAAX4VzvUd%208Ht7ZKTOFIO5nJVKPyjUE0aSB9BjTbOe8ioQPu+108097mWrVBq4jvXMdvIxKZdzIU3b5IBp2KAU%20idlVBg46gmWE4CIhAMBfynJQAjo1WABYhi64VAAEjKBkKuBSXd9RgBkBci+rUlOnhBrE+RT3fb+c%20yQxdZsVKlum2IGHeGqv0qE8SVpDPac9gwCLUWmlET+koBy8A8KoHOKAGuyoHBhwTn6bNTgMFfUs5%20WoCAcAEAA1GSgEV2KCEVIM2W0FKZUOgETvQpUzd0qZtdVxIs8rCQmKPKa2LPhMVxphHBAHXXN5+p%20k7UBqFqhUdh9WGEDbYwgoPGw/9E+vtGCAf2jBAAA1K94GCQVoAQDAGABBqSFAQc8QAVLUcG5VKAS%202l0Nj3dL025CY8cqWgVz1PFHTZrWwvbQJkSyFaPmbKvfQ+/zWAFlAStCoAxt6GIBpUCANlbACWX8%20YwULqAAGWhBdDGxDG8tYQTw4EQIVaIMVHlbGNkpQggy4YAXf2AZ0HdACXbBgGVVZpEwQfVua5dfX%20wtZvCThRjhK4YBkVAAAAykGA/7RgASxYwTbSUQACEAAA+GmBA1gwgxYog9nlKMcySuBsB6TCwy1Y%20iAQAOWxEl9CYd3w3vXvVpgK0gBUG2YYDKqCNVCyjHAsACgAqUAoMaOM/DiDANv9c0BUC6KIALpgB%20AJSBABeUAAELV4YDAECAM0N3BS2ILBbr3bpB37PQ+jQ5y6NmtYtggAAK4IQLSlGKZQBgBtPgRA06%20sAACcGIBrHCBCrxdAV5ogwAzkDQAbF4K07AA6ARI+gIWEHRVL2AGCGjl0lp+JmDHz+tiF8kDCLCC%20ZWBbPZsuBYsIUAGlz8AByuCFwd0+g1IQwAVuJwACrE4ASf+8AtNoQQVWgLixYzLePEa8sDVVFgQs%20owacmPwCRM0KvBtl8G5XdTyWQfcKKHvppWgBLyZfCgBsA+8tcHvQCTCNGWiDFwuYjak+x/gzoi7l%20q3P37RGttL3oggAdMDa28y7/+wV8Y/jLyDcvtqGBchjbBbHfeQWgX/UKyKYCFZg2Lyhid2fPYBmr%20Wmrv84TfsJef5QmItTaeToBl6JwTlfn7xCvQgYW3oAUuYMUCXPBzF/DCs/2cNvTfMmiDzpEeANhR%20+tmN4p0QA+7UQ4gJAhycNrCAC0ifNkxD1T0ABpRCORzdDLDAP0SdNoja0rkd9JWCwcHH0bFAwW0X%20JyxdOZQCK7AAxXwSBKIcbakc70GgGdnKUCCA8EUbuXECAQRgBTiACgAgwy3bBiAbuV1g9V1gALpA%20C3CC/gFA5S0DC7DA6nFCCSSgtLzDvvxgc8DPJZ2hr2VACTgAsmnHMtycQjAA/wCEoTZQ1zewQCqk%20ArWxAAKk3rS1wJixAB72YSqMmS4sQyog0RoyiAMekyOeCuIQEKsh3AKIXNBVQM11QAE4nf+VQ9Ft%20wwvqXynkmtuVAgZe4RWWwjaMYgy6AMDxQjn4Dms54g4aSA9K4k7JSkosRAIAAD8UgAN8QwlgAFRg%20gBtuAHj9xIXEAwOkwog4mgKMQAGUQwiMyArowj7UQDwoAFuowDekAq+ExDTdHtip4S7e1kzdBHko%20gAL4wwNIyUeoQIskwOygRAdghQKwRAcAxTvYBVqgRTxIgF/0kTre1Y49IEKeCVwVTGIoQDlIgD/q%20Qip0AJXoQjkUQAIow4jEg/8D1AwDKMMDQKMyKEAC1EA5fEM8PF8GPEACfANcgOQ3QAYs6VH54aLq%20kJEPMuSpRNFDFFTh2BH+wE3JoMS5yNR+UYfI8EtNYBHBpB869uShTVOfvY6aTAiJvMNIdZLh2NSR%20qdhUQuK8TeVIlKFg/UMCmNMF9QpPBEmLtMT2pJdSPgvEqJMyvdQZ5mRtrVxZPiJNnAxRCMUCipIo%20TYp8KYv5bI6ClFVLiJWbWAVmFMoZSqVfYhLtqAyKVdNQzIXCwEaX0ESV9Fm6zEhhigZUMuRY6pVl%20toRq6Jko+Q5hPgCiTNKxCEWLZIu0dA3yuI+hAI5NreFe6iJrMoji7IjHLBT/vUBPexwlMMHRm5FH%20ilFII1EKWk6MaTJgZRJnA26NyIRIWZBhaJKHuvhT7wDMLkFSfPmlavbYVA7KKrFXaIRnjDDOZCZl%20pUzSNhkm49ALU4kJdRyeDoLRbBGIJD1ImSFWgirogjJogzrog0JohErohFJohVrohVboHnFEAmRA%206hQIhoJoiIroiJJoiYooX+wFBlQjqTAZU5joi8JojMrojCZoe/CLPdEWgRgPR9jedvqoOoYTTNYA%20lfxokUoi7YRGBtgI6+SgkTop49VUP3QAgRLIjiSAA2wLjWrplnJpl0oo2pAJh3poQnlpmZrpmYYo%20gLyDA5wkli7lxaBpnMrp/5wuaAT5UwZ8g4e6xjCa45P6qdhpxgOwSFX8aaHenma4JFTBTZMaaqPq%2018JMqRjRh0BMyWu40KViaqZq6qZyaqd66qeCaqiK6qiSaqmG6o+Q2DcoQGOYaqu66qvCaqzK6qy6%20EANIxT98Q89FlZ40xKDQ6q8Ca7AKa7D6l5VkADzOS/fYCwJchpc567NCa7RK67RSa7Va67Via7Zq%2067Zya7ZqFoyMQDw8QAZ0a7ma67mia7qq67o6K4hIgJthQAGE41+oQPLsDrvia77q677u6wbgDkmq%20gJKmTo7sVwiEAAIgbMIq7MIybMM67MNCbMRK7MRSbMVa7MVi7MSmAgKUgP/F6QJXKEPIimzIZmzJ%20muzJomzKquzJKsNLZFwJhFfGtSzCWtzK2uzN4mzO6izDKkMIpILFaaMYZURsbiW/Gu3RIm3SXuvs%20kGRZKO3TQm3U7mu9tpOHKMuX/AUDkKTUcm3Xei20stkGpJm5MMQ9OerZom3aqu3asm3buu3bwm3c%20yu3c0m3d2u3d4m3e6u3e8m3f+u3fAm7gCu7gEm7hGu7hIm7iKu7iMm7jOu7jQm7kSu7kUm7lDq5D%20rFbd3KTl0tuisMQ72BFPSAsliSfnyk9ZbGWPmm7iOoQpFShqru67wWU7McUD3KrLsUnsYtJ5cc3t%206i7iElFUcMleBOjv+pr/1u7Xxzit7xTO5hovSTyJVCnT8w5ukxIvphQv9fIiigYhCo2XW7Wn9tYK%20T3Sd+AZuEPIF8q6EiZjv8S5TSlwVbdBOBR0N7LbvP2SJXGXv/eItiGhLArBACKTK/vKv3YzUTMzc%20AhBqSpQACzBvIRXwSPThiKDG4kTw3uqINDHABZaAyPTpBTOI7/QDC9gAK1TXUmQAALjACCwZCI/E%2005WLC/Pt74mENrjANxAFdsrwzZwLA3DCNIwXoGVAGBYH5/DNBdPONhDATCjJDrvtB0DxP1BAJBxA%20FRMDOjCrL3wADlDALfzcBvzAD1RCGF+EFmgBBVCADEdCFJCxGUCxGcgD/wUQAxxQASpwwTD0rBmw%20Qz2MQQjMgDuYASW4sRnUg+6GcRijcRW7wQFgwQYk4yVkARo7ACsAxTmYwSWbwT9ogT+gsRM7KhR/%20gBRTcRWrAi/YgA0sgA58AAXQw9/B4xiTsSafcRq7cBREQhu/sTNUsQgQQzewAiRUgA0QwAdcMjiw%20QgmMwSXXwyUb8iEn8gG4AS7cAguYsg2owS1EggqwwgpIADFjsiZzMi17cqG+sSZTQBWHAjq4QAGk%20gg2QAQ7QAwWwwDQ4QBacwyGX8SyrMRv/AyabgSu8QxUfgAh0gw2sQCaQ8Ar88xwEoCAHsiA38w+Y%20s0B7QQlMgzJkwRa4gP8soPHbbcAd+DM4d/I4kzMxT7RAJ0Gx2cAJSEI8KwMr6IIY+0Msm/FIg7At%20S7Q/m8EZHwAVwAEqPEMhuDHsfcAy/90YODQ7uEJEn/QBvMEC8MI//EAU2DIrc0IpEHJIb7JNk/ST%20lvMZj7IoAAAvzAAraDEal8AMxLQY07Q+uzCBxPIlU0IiJwEVYMIzOAMl6IOqBXIw2Bwhs4MZ+EMh%20xy4+zzI0e8LOpWUYRwIF8IOk9bNWh3NX/+lXn/MBwMMx2EA7fMMMzIIZUMA4eB4G9MMhS7Qsc3UE%20w/VpXzI7UEA0VPFPs4IwmEE5zEAqXLICEHVWM3NhkzFPU8Aip1oI+AP/KaRCAjQ2KyxDLpjBJnzz%20VoszZRvpc3NyJEQCCZeCKc+AL1CAKNBcAcByW6d2AaMxBbA2M2/AORNDItAdVJeAGYyDP9zDNCAA%20JjtDb6+ueLMyBWCAKVfAApSDLERDZ+uCCpgBSDMzdEv3k1J3eUeC/rUAziGAK+hCKayAVP/APZ92%20TUd3BJf3eRfyO8jxAQzBMehdCHyAHlwyttWDNy9zJvt2PqNxHFNABxigC1wCBcBDC5SCSjh3g3f4%20gm8nkH+4P7hxPVDglmG4hst4kPPvh0t1SGx1Y1MAJVxRPDYdODhDvZSv6ep3eV+EM2sDJ/xHP1ty%20gk+2kBcpkaNxOA12/y60AAsIQ5VIQIbrtwxD+WmXcXVX8RQ5A1+UA785w450Oed++UgfcochQBqf%20OZCrOdqCC8QghDCkcbGw9Ya7NQiDOYbjM2rTcogco16NlQt3QjWY9680t6M/eqHmEkOkNysLhGlj%20+ng/OaKbdpNbCfNKRvi2b3nzhk6LtJOv+lSa8UhUgkiYsTzwAz1cRCVoQKdzOJ7buqxfhCuYQU3x%20hRdFjXXGbrEziBkTQzSY90wAu4IPO3F6e63smSZDDBoLhRgzuadLOy3LelwvNQn1p0bw+uSmO2eY%20cU1L9B04A4Jnsrmfu2X2e910jxbQOAUQRRg/+6wLe6+jsRbU+0VcsiC1q4M6wFkYM8APmAe1d7sW%20nElNRwI8qAPGSzatB25AAAA7" height="191" width="589" overflow="visible"> </image>
            </svg>
          </div>
        </div>
        <div class="fig"><span class="labelfig">FIGURA 4.&nbsp; </span><span class="textfig">Velocidad de trabajo. a) Tractor YTO X
          1204 y el nivelador de suelo Holmeca. b) Tractor YTO X 1204 y la grada 
          pesada de 52 discos. c) Tractor YTO X 1204 y la grada mediana de 40 
          discos.</span></div>
        <p>La causa de que esta magnitud este por debajo de lo permisible para el nivelador y la grada pesada según <span class="tooltip"><a href="#B12">Jróbostov (1977)</a><span class="tooltip-content">JRÓBOSTOV, S. N.: <i>Explotación del parque de tractores y máquinas, Ed.</i> Mir, Moscú, 1977.</span></span>,
          está condicionada por el patinaje de los propulsores del tractor (que 
          es sobre neumáticos y el mismo oscila entre el 8 y 12%), 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="#t6">Tabla 2</a></span>,
          se muestran los coeficientes de la velocidad de trabajo de los tres 
          aperos que conforman agregado con el tractor objeto de estudio.</p>
        <div class="table" id="t6"><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="6">
                </colgroup>
                <thead>
                  <tr>
                    <th colspan="6" align="center">Tractor YTO X 1204 </th>
                  </tr>
                  <tr>
                    <th colspan="2" align="center">Nivelador de suelo </th>
                    <th colspan="2" align="center">Grada Pesada Baldan de 52 discos </th>
                    <th colspan="2" align="center">Grada Mediana Baldan de 40 discos </th>
                  </tr>
                </thead>
                <tbody>
                  <tr>
                    <td align="center">Coeficiente de aprovechamiento de la velocidad trabajo (εV).</td>
                    <td align="center">Velocidad teórica (km·h<sup>-1</sup>)</td>
                    <td align="center">Coeficiente de aprovechamiento de la velocidad trabajo (εV).</td>
                    <td align="center">Velocidad teórica (km·h<sup>-1</sup>)</td>
                    <td align="center">Coeficiente de aprovechamiento de la velocidad trabajo (εV).</td>
                    <td align="center">Velocidad teórica (km·h<sup>-1</sup>)</td>
                  </tr>
                  <tr>
                    <td align="center">0,82</td>
                    <td align="center">10 km h<sup>-1</sup></td>
                    <td align="center">0,82</td>
                    <td align="center">7 y 10 km h<sup>-1</sup></td>
                    <td align="center">0,68</td>
                    <td align="center">7 y 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 0,82 para el caso del nivelador de suelo.
          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.: <i>Explotación del parque de tractores y máquinas, Ed.</i> Mir, Moscú, 1977.</span></span>, <span class="tooltip"><a href="#B2">Companioni (1990)</a><span class="tooltip-content">COMPANIONI, R.: <i>Material para doctorado sobre explotación de la maquinaria agrícola</i> Universida de Ciego de Ávila (UNICA), Ciego de Ávila, 150pp. 1990.</span></span> y <span class="tooltip"><a href="#B10">González (1993)</a><span class="tooltip-content">GONZÁLEZ, R. V.: <i>Explotación del Parque de Maquinarias, Ed.</i> Felix Varela, La Habana, 1993.</span></span>,
          que es de 0,88. Para el caso de la grada pesada este coeficiente fue de
          0,82; catalogándose de aceptable. Pues González (1993) reporta que este
          coeficiente debe ser igual o mayor a 0,82 cuando se utiliza este tipo 
          de apero. Finalmente para la grada mediana se obtuvo un coeficiente de 
          0,68 el cual es bajo al compáralo la magnitud reportada por <span class="tooltip"><a href="#B10">González (1993)</a><span class="tooltip-content">GONZÁLEZ, R. V.: <i>Explotación del Parque de Maquinarias, Ed.</i> Felix Varela, La Habana, 1993.</span></span> que es de 082.</p>
      </article>
      <article class="section"><a id="id0x204a600"><!-- named anchor --></a>
        <h4>Profundidad de trabajo para las gradas pesada y mediana</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <p>En la <span class="tooltip"><a href="#f10">Figura 5</a></span> se muestra el comportamiento de la profundidad de trabajo para ambas 
          gradas, donde los valores oscilan de 0,12 a 0,16 m para la grada pesada (<span class="tooltip"><a href="#f10">Figura 5a</a></span>) y de 0,11 a 0,14 m para la grada mediana (<span class="tooltip"><a href="#f10">Figura 5b</a></span>). Los valores promedios fueron de 0,14 y 0,12 respectivamente.</p>
        <div id="f10" class="fig">
          <div class="zoom">
            <svg xml:space="preserve" enable-background="new 0 0 500 168.081" viewBox="0 0 500 168.081" height="168.081px" width="500px" y="0px" x="0px"  version="1.1">
              <image transform="matrix(0.8489 0 0 0.8489 0 0)" 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pPZi9okv%2002w8jTywJqiyqNIwQVc30QxnGBUbFbDAGKIsgGZUAADHOMFxm0vbAiAjAmOwQC0loILBjqH/ABXA%20xgI2oYJ/NKO52cgDdkeiAmQgY8Q3cEEEFgBkgTgSfrbEhguOMdgWxMCZBYjACRDQguNKsAUAoIAv%20NvFiCZTRyCZRLyFvetlxaUsC2ciwvoDppTssMg/YYO4C5lEAAmBDlgMGgFjv4OPBzq8FEfDAAmw9%20hgXU9Q7/G0EipCoNAvTrHwZABlilsQALbMLAALgUP2KQh0pYIw8CYIAJtJkIaTThmtioxAK+emBp%20eAAAm1isVAkAAAm4oDopiellMytFI+NqIO5rm7QtID8AVCAPEXABU5uQh03wQpuPLgBcUxzlulZa%20Gr7wpjVGa1hsjOAYHuBlExLxYtIS9AQE/1iACrJRAA4QQADY4PCzMIkNDxBAkwZogTXO7AxOi7MS%20zkDgAo5aYQssgNAEyC+oeyJqm6bPP9NKiex6QsfkqYRc7ipJ3MZElSz+AxscSJkJ7pCTtG1CAP1y%20QQsSUIECYKMFLaB0MyBwh4GqoAACEIBu76AWbGCjACowQC1hzAsR3CERAriDzxAyAh0L4Bg9aIJr%20c1WQu+tz7jFoQQEwzU0AJGKv6HBB3gVgAaOOIJwJvwECBMCBgVltnQm4k9Oi1ayRIHSldTRJAq6l%207//we7MNokq+Dfn6mj3EJxLpx0joRbCb05gDDJAsO04gjQxvmAcRUHGqIbAJyD6wAtlwwf9oE2AB%20rE7zqxz4R3OLKgDS+sKS/zCzC48xhvQjA5rVZyy+T6kCEUhDAP/AC5VGSUbgXf9wBxjXDHfASxZg%20Sx4QZfFHAD7DDlphPVJ3HheyK6ezElhxUBSwRVfSdGNjWf6RUXnkL3siAhtSHyiDIVEXMibhUV3X%20E3ikfHIjKTmBR2TCXboHJSURAz3ybAeSAFjjSxTgD0WjXXKCABviKCfhD0bkL3bCAHHTJDcQNyGz%20HxIwECo4NCKwHwzwfgugGZlxEOyANXCUHsKyIDmRMVNREswyJpSCNccSKikhNADye0sWIHKSHrdC%20JRARgxTBJirBC1WVAlzIQwQzaEIwWCf/cH8pcH9XVQAeUAkq4AzSEE1eBQBjoIAR0AyPNW4Hdk6j%20FXKJsHOVkAIUUDkRAAArlwhXJQAuoB8bwguwZnN30A/HIA0ckAjI0ATGFD/IcFXSlA3EtAke0Iqm%20KAEj0IaftkdC0XvnwSg1EoI0ZT4j6CAQUC8DkSlzAy4Yoy8hoxk7YRBMeCk/eBUIwIWYpTPbuCv5%20ciyzk4LaA157siFyaI62JxAlkR78OEL/ciwksSEaU1DTghICiRJWQzS+siEEJ0IC6TxHiJAkwTOD%20cjNUxzGg4g934o8qsTcPooeu4yDpMRJ9+IYQUSMWAYeFKGHTkgIFkAiZ0gyUhIw8sAkA/yACAtBw%20GBZazVCA9xZplMQLd7AJI3BViWBJzYB4EZAHMaBwpIQMh9N+lQBAPMBWlXAHySUBm9CKm3AM7HBh%20xeRwtSZtLtAEERCTeTACBYBMLWBByMALCIANQkAQuQOHDFJQCpExUWcTC4F71jhITkeC/JF1yJI5%20N4EvbRJ1FGkhJnEDcuJCOyJCkyIdu7KYGBMD6fQjGEkSkrJtBpET55U5/AAxYuIT1iMtT3Ih4IMx%20QyMsIYM12aV7kGkj29g0I6QVjcMORZYsxNMxrtkPdyJ8H9grZ5Q1AiKSU/Qf5lNFChkRyHd8ycIT%20MeABu4MSKcBP/zACumUQTVAy1XkCRv8QWxXADvzACz4zAr5wAhawbU1gENDRJf/QBNbAL0bUBM6Q%20Av1yKQJxAiPQBBJwJ01gAcTTKTzQKgBqEEawGyfgD//JC5Q5DxbQBFkWQzkxAkuynR5QIdPSK+bj%20h4xynA6BFdViFssJICLIXgEyJbIiAk1AXS1QMkqTL6H5hQbRL9fhD4tHEvNgAq5iZWE3NIkRMlRo%20BC7EJ85CL6zpKSIgAs3gAdMZmpByEyfAAUUjW88CXlBijgZwB01gR8mCj8Sie50SKxHEZiYgAULA%20CwQpAZekI6TiKSgBJgDwePOgREBjE/NwB85QkXm0gb6HZFEEfA3yl85zIR8pndHpEFr/0yakwzQW%20QwHjUUY9UB+SMi0K4y+RsigJkU4fQykWeQNssjuvORISYDvJsjJYkzKaYSu9CZDzeAyV0AyCUy09%20wSz+ciG4ajS7QpiH+iMaUyUpSmr/UR/1kh7vB2uVsAnOAAEVYAQqUDQjQF8HgZ8ncAPO4AFGMBAx%20gKGuwgHHMDscEKMKagAnwE/JIwQvRjTQsR8JMAIcUDA9gKFCcKcMYAAW8Db/MEoCAaHJ5QzQ0QQJ%204AEtIBW8oALJlD9NUDCDQgHT6gLZAKVNIATPZhDTJxxA5AHogAAHEwMngEOV0IAL8HEiJAEWALGd%20IwG+QJkYohLoUE6D9WIiYAQn0CoI/9BSHTax8qMhTbCe12KHJCmo8DSSvtchfegTRBiIi8qoY4IO%20FqCDqNIT2MMoVgON/EkmnIKCvql1aIhFAJkxMUguy3VkpvIrTcITkEm1EGAAWHMhYCibKhODQeE7%20P7EyuxeYNZWNAeIuT4gAieUB/XBjx9AMCGdrNxByY9UED/dy3ZRunXMHorQJJ9AMoGQCxjRM2Ndt%20lQClGSMAxcYLAiBKKgABx0BKkusLpJUHiYAOvABCEfBgEVBNVFkAMYBiY7UJFnAM2CAC8MY2FeAL%20fxcB1mASG0dKY2AAOxdhbDo9CodCc1YJQsBwHMALC2ANu8gLa+MMBdAMvHBmeTAGvv/gDEN3TiuI%20MaeEDblyDC4QZJtgAi2gY9jAut90cxWwcTRGmXUStFA0tCcaFjbCKBBAAQhgBB5wAlyntAmxK1MB%20ERhkEClwB5O2K0yTND2yH6STKwHcg9GVALVqI1QYHR91AgLQBLWig0YwArGSNP7ygf4gAtRpAXLS%20dfdxkHj5L0XDACMAAYcBRMmUPAQjKLzpmm3SD/PKC9qKqVhRjWSKr3jUv/8xrE/HHyPhKeDHSM+i%20TRZXTndway1Abb4AS85QAS0wbsjwfthgDXfwZbPKVBygukYgDQemTdMCAA/0SraEcdTEAQBgAc0w%20BnX6QGsjWHF5ds2QDXdQTrp7Ttf/JAQ7KQRS1QwAMA8e4L4j1rKJ1U0RK0qciL4GwYmlG35J5wHZ%204AtvfG8cJgBGaWvlVDgPlG7NEHMncLUisEx3w0qdFAGqxA4qwEoYF3PWcGvRawKeewyegpx5KLRK%20RrQNUprswFgppwKSEog2oiNMsx4PgU8QUwFop0TKZzEQIMIVcC9KNCbYszBFwwOJAAAIMXZCWoMJ%20sMvseITJIx4lsSEQdWfzIBI3YC834aEgOTpZKgImkAgiLABBRx8H4Qvb6160Z7HOQHKqqx+dgjRP%20gpIJ4ALYIELo8EYRAsW+Kha15y8GUAl5UBIpsEiCtiFgRVrHIAAtQLhEtHmPTABQ/5opADCM8xN/%20lWAEBOACN0Bv02ICO01/cOfS0vBg9kSTEPq6lYC+HCAN1Lt50iAQj3V0b6VYABABK4c/9VFpuyhB%20ApFy//DFK/eJm6cZRmUA3pQAc2VzXbJgKyfClTAPZ7cAEfAPLgYAzZU/nZgqWnYH6PBh0mB0C/BR%200rQ2O5dfhCsEx1Cn2dA5KKgzAaKcELIfUZNYANAEVXlRalMAvJAAXbpu6NB4m/eid3AMBcPI2HAH%20dpZhvHBcQqBdd6BjJnAfo5MI2CQCdSMAw3UCnrc4EURjdckDLQBNCIAATOUP1oB3UEoBMHfaEnDI%20oPV3LhADTVCnPo0ew0NdpHQC7P8AcyYQPdZQp3dQSxLUBGn8wI1HANRL0ABQHrP9PxzgDy1AaDkM%20rARD0r4Qcscg0DBnP9RlAvxwA7ONSuwJY8ewITroxF7h0cs8LnvSxZqYDSdgDSNGxxidlnw3bvQT%20Y3dAWpW4ABQmBNPUDLcUY9hwAoY8D/83HvljawqXzi7QdmkJdnU1uY/dflnNrMigclIFTI39YgXA%20izedVt6laGPlSJycAJKVbtKw3JVAXQybAPITWXkwVJtwSt7ViRCLvZVwcCRGb5swP3cgVUfnDL7g%20C/WhOzE3uCgkbJsAJv8nP5hclNW3rC4wBneAjwwOFpQdfFnD00qnYI39ZqPlShH/wEtmJQ0J1wQX%20l8ZdqW7KFgFC0JZ2PUSyFEvNQCmeC2aDlnJIlegL4AH0V5Y8IFlJKQA8kGIW8E12zVVJ971x1krX%20dnRVSmHZcAzeIj9JWQlI5Wd5EN6dPAbS1nDhV8gFRAC+0Ay/iHgWEAFWpbqVRLDZEGHAhaqh5249%20cAKX5D6L1AQKaNdGwIk7mQcnIMwxhz+Q0pdPfI3rRawA0peU1leJ4AsJUE5jRXbY+1i/KwDzwA+b%20JACIxw/MnpZBhw0qm2gVcJXW4El1VhIVkAj1DrkqR0DLlggFJJMWkAjficqJ4AEMkHi0NFoACJNm%20RgBCAMkIcHdRDq0HBk1jIsI9/45l1oaT86CZ/bCUuYR2AHAHMXDTR3ewBXAC73uVLuC3EZblkTVo%201tAPi8YnBHPTy2oNEOB5rIV4N80vbWlgRsBocqYCwwmogbq/ydznXcHuFvB/uXLSp00APPBhDvRA%20VbWLdQauZU5ig/0P8xB9m3BVddbjVKUCMCTgJXEMBDBd0jCAKgCBRkBppyxjGPYPdBxyW5wN86pN%20c0YBhiVmPabs/WDAZuVIGdYP7lMA+iVf0oCTeXAHPTAQkWYESeUMc58N2Tk/hCtsGV0J71sJCcAB%20CUdNBzgGUIpFeX4Cm5MNApboG9IC4jfYTS35BFC/GP1INgKYKOruoxbFYwG0x/+5sO95gFh1Ar3C%20A0aQGehgAJJCs/DiwLxQHzfwnv6woILirPvcjMapFgaBoUUjAUYKEP/+zYPAIAW7fzc4VBBohMc/%20BidS3PinApuACHkq3HAm0JkHCfz+eeDVQwI6gf9SWEDAIwG/Gx4YJhAYIwUDCTwopEDwj98JHgb+%20iUjRj12MfzxE/KPAS4IBfxBHjBB44sQ/fygh8LMwIuS/mUyNGBmBtIczHg/5jXA24ka/lP9QxqVb%201+5dvAL5+fNAVSEFn/9o5iVc+C7cfxBoGlhAgNc/ANKauch2wkO2Y5XyCLnTxIU0I/8WbGpGAJuK%20bCac+UpRIMKxbC1EIFvgK4//LyPZXPTA2iKbEABjjt1xYUSaAAMqKgDIJsJEJRWVBKQQkMcDMgDY%20slXglQ0jMhECpJ0ogKxZHhcjfDVZsKCFtDuCe+RB1prAMQKJrAG4KlAAMgQSSQQdZARwgQATTMhG%20BRMIGGGBAnyppIUCCLiBuRY2SQQBbAgw4gYKEojKl2wWQGCESqRRYRMAIOClkjsE+G2TBXgoILVE%20sInMhH72+gcxw4IsrC+R/IkqKSGWOlJIJu2CQCDEGIBIoMGAu8EffihQDCsoC+ISrhQEelJKkQYT%20rC7e+PGSAbiejOFJIyFYSkqm4urHTDobohCbE2gSia6l4lrKzDOHopIpKROg/+nJwJDKSkoReuRN%20BEZpokArMrlMLCWR2PyRgQTg+pOiOkVAYEsxzQSySVbj2quvhDgArMxWa6WLnwSe7MeDSghAJhsA%20/rljjAgqQaYJ/CLA5oYDPWCggDwiE4CHDgnYpIkCNjkBgDwiQMYCDwho5oTU/mwmG2yaQSYRZFSI%20obo8KrHAtxSOQcaIFnwlYLcF+Fsgj/woEAIZ7QhwpoBEmugwD9I2KZCAO3gTtltpNhGiBYb5RCcr%20bCrhBWEh+jUC4EqyacaECDzABhshXkMZGQIcc6GSYo+JoQUX6GTW2n9bSCGRAhDgoBKgCfCFRJg3%204QAZ6VKjcitbayUSqyN5SP9S06hbDXHTHvgJM7EQAUsJMHa2DgxURo9E6kk5fUKHprnEDvRPCpaE%208shFGaWTAZGenFNRgW74+ki+N2UUATPh9DTXRfWqE/CEBJqLrsESrQsxuAD3BzCxA8OKphj6yQqx%20QFMS8cg7s7b1Vb9kDYxQ1YP0Z7A/+xlBhTt86aGHDo9ppqd/rLmDA46smSepBK0RwiAXmuGgH15U%20gGg4C4aypidrJKD0H3ascYEdz445gQIEVGiBxxOeP+F3f5ppoRnBmhHinyZaUGGEBJoAoLpKUvDA%20ggRU4BjHIN4JfMGBYzQBArPrgRASJAQQuc8XbxMIuCBglZVYgB+8cIEKfHH/Ax5wAAEW4IAEVDAP%20fnjAfrKigC+OoYIb9MAEHPAJ2yxwDBeYQAQisEYTBOKL5h0jBfwQAg49gI4mmKAZx+iI52LHpKkZ%20SSBWU9IThcS2xh2KTqLLUmIYFbe6cYlsAqFAjwQjEjPKJSroaBNCQAUlpkSlH28slNjKGBfgTQki%20O5wdA+YCgdSJQERIHEGR/vTHlKBjYxTgR6BIJ7lckdEfc/wRSmIgJXQUSUSLoiNiEiCBqODqH3ns%20ByAzlQA/AkZVL7Eik1gXq1kVqpWFmV1dKHIlmlDmJgnZio8ClzlJ/qMH/mCUCIokEITs0W96REqd%20fEKTI7GDjnSSWB5pkjlf/ywAGZu4A1L+5KoExOBPg+mB3gRSOHQ8iR8MYEDntOSPQCmKURKjixQ3%20RZceIEQxpfuRXCRnOk/mUSDETAmjZomXKFbtanY7qF2SSUbB0CmSi4LmP0J3KKaIzokPFUwtBfOk%20SJZSTCNNIx0JKras1LCRFk0nTRKAALhERQRvURMCTEUlfrAjAolYJwJ6kKkzOdJxgNtbSiTmqMgZ%20CqJKfdJcAtU2OKFScm8DDG9CiZi0FWScDSXMK//yOq4SRo5oFEmgYrAThhQKJVLqHFRTciQ1+URs%20yWRUP+BiSWRuSkp3TYmU6EQBpKjynHLhR5ksYIEmhHEu/BDp5CJFzFCGcf9KEuXSYDrnuI0l5puO%20vGtUouKlnzqOU4ADjDoNNap+is6eVAvrXRI6xYW2VrazZVI7sYGMbY4AAi7IQyJMgI5jLKASADBA%20CrBRgAVYgAHqQsZx5tECAbngnHSkbXWtWxevuo5W1+WubNPoD8uJrYtTapwIAFMBbxZ0a1rxJ0rM%20JEqsdVe+qnstkqo4X/wedJ086BYAiNaMShSgV9fJgwCwUYEUdJAACziBr+4gjUSMIIdMM0La8nvh%20WWY3lrDDcIeFVFiMokSUFIFADOAmkBEUwBoCREiIJDDYjsLRmJqyJ0M9fOO61JeK8cVxjwkDmBt4%20BzLKykYBBLAAD/g3DwX/sIARDLyuc3ngH0QbQTPuoBlGouSyPuYyXjQM1i6H+UhSTEBTmseLGz7m%20HxwwQfXoh8M8HIODIqiAC4rzjxF4QAX8SUAPWgAAXkBgS5BzYph7rOPYGlrRhxJBiQa2Cd/cYTg3%20+PMCxtACbETAGkRDjQA4UCIFBTcPCDDA8RZ9ar3wpXUbRjWO/3SkEqfoV5sgQCVOkK9fucADxcpD%20Nu6gLhOoACN5iJ404pWHEewHG9I4hkUFMxi7ttrDiL6vtLmMjhv0ehN54IAIEuErF1AAABEoli9a%20UIlMY0MC3OoVAIYmAHaZ+xiIs3aYv7zdeuf31ee8gbI+DQAAu+BfDQIA/7dGYAECqIADBGiCM0wQ%20HCFYQBousAYBhOCByYwBG2/V5DfzLV9q8/jjGO6HBIzFAR8KxIPzkEAMfKGCHvTECCZAwPz+4YuL%20MyQFJuBFaCxj45Fj+N6yDLp8sSSmbN+hAvtqwn1+ZQ0VR2YqE78Dw3MUmRwSwAJCyIbwFnCHaM10%20xoJZVdGtG3Kgm527PZJAAZq9qajEQI6Ikhyd8DpQsaEjUwZVu75VDUsw9/26jKUSO9A9sPfdhltG%20doYF8qBNk7kgAqUpAHOa4QFpWKM7HIjXewrwjxaMAJGFFnxY0V56/C4lBYKNU17vBrswkuqec+on%206uc7dA7bnqup+5Gfff/BgxY0oQIt+FBwARCaZlQeABYwAAAk4AsdLV9/PEDWCE4ggDu42xkCsEAy%20B8N33c/y9Ezy7OMgkqg2mQ7WXYbrArEG0p4YtLThX/uhEAKXsXeucILZclyMBHTci5rCCiXBSCcq%20Iabvy72+yyze44fMequ5uBM5Aj9OKSwLBDH6q67xC5Lv6yfwigsGILG4EJEwewnG+hNcATHUkaug%20SrsMPChU8pSRYihBExMXrCfGijaf+LuvwjchSSM7uZXOUZQbFDwSDAxiKiz3o65PuYsLvMAXpK0N%20lJ12GiyKeKmoWBQUVMAbI7S4kBjAoCw18bgonK1+KKPGOcMeYCU4OSf/CjSMAGwSIPSJzAmV2VEM%2092OlD9Q9xoGSUKGlG/w/QSzCMqSvQmIt+xI5wogU00EmrDKTP1w0+AIxmmCnH6E9vmElLizE2OE9%20/HOosXGjWolDAYS2wtjEoDvCexIbyEEpDMSLQfw/TjS9Q7SnHSNEV2mTEeiJBBABKemBuUCvPMEK%201YpFYzxGZExGZZRFLpkdFPwRlDrARFpGaqxGa7xGbMxGa2QKRpkHE7iDEVgSA3ABHvAHC3Cf/mCA%20Yxyo/8NAUmySV/wRVnqmLGQTNUFFs8OSXBGJImGnUFKUbyIou1jHWWyoKSwMwLgZbLgDmPqhAgi0%20O+gXC4gpfOwxfpAA/xOgikA5izBhgBEQgv4oSK4yEgTIjgXABqGgAKgzGAOIgE0QgP6YHLFCQR7U%20LqL7MFShi4IYjH2kkor8OMVYFcBYlbIbQFwUSVosEoWqNsOQEnX5D2soLMrIBrLYBGxAD/fykyfc%20Sq7sSq/8SrBcoHWKCgoYAXgrgI54El5AhmPgBxUogALIGbCcS7qsS7u8S7zMywsEJMGogAVwASGo%20hNBwjgXIBglogjEogDu4Cq3sSgCsSVZrktk5wjlqJlcRGwjoP9RjFAq4gbrCCgoIo364pEmyRKTM%20r4PsKn4QgAK4gX5BCQu4LQ/4GZppBn5MDAm4Ad3cTd7sTd/8TeAMTv/h1M2Z4oEYQIcqywMVwI5+%20uIGW0TgEgBYAuJ7hrE7rvE7szE7t3M7ePAoEcAb0sIBs8IBykgBriADPwIwc4QEIQADgRAAEiAFf%20XJV3FBJ74geTSCAR8KwUEAIJgAAeUIFmqAD4sj38awYBOAaqkBJ2aIZmcKMWEALgmaTTxK8NtCwK%204AFnoIg7NBR4Q4AFEIClgJ5v8YAFCK5u2pQbmAcjwAUD0IZ1CAdRyIQOqNEOIIcUOIIjSAEe7VEf%20/VEgDVIh/VED2MUK4AEOkQVVAARAiIcUkIRHYAU8AINVSAVN+IIpGFIhXQda6NIUGAUbrdFRSIE4%20iAMtPVM0TVM1XVP/NXUGnhACbAjRCBCGehACMogGU7AHYSCAKmDSbSgBJajRcFiHOKCFUQBTBSAH%20CQiFBmABFkg1WOlBWSIm+swLRlGY9oCfENEOIeAH5FKxjoKdYZwvHdCBBzASGzgAVVVVG/CHB3gA%20HeCCIfiDR7UBW80KWsCOE3UHHaCGyECEabABYpAGQCjVB2CBDOgCaXtUR23W/1PVF4jWF+AqW61W%20a73VVnVUHEyhWlxKRHwJBDCBbGGYFjgBj+MADdmEo2m2JoiAE2iCAokAAFgKsemHWGiHaSgHeACB%20D+jXDwgGEIAAcYCCaRA0gz1YhE1YhV1YhFWUwHobF2CFHACES9CB/2fYgi34Ajz4gVWoggkwBUlg%20AIZNWCkoBy4oh3KAAG74ARD4gQ9gWQYYAjUYWZqtWZu9WZy1WYgYDAsQgE3ABVzABmFogCegBFDI%20gDuoAiq4Bx3IACXoVxDgAqlNBxBoWW6AgAZo1EfdwUi1ycFYLUQcLXXEqKGxkY2jgKGRBgs4AWRQ%20TAVyFUrJCkWZW7qtW7u9W7zNW7oFgVLVAXdwB2hdVTcYXBBQAzXggj9IgL/92wQ4D3lgTRsIBl04%20hjxoBT/AhVbYBE0Ihg8QAXBogAzQW9EdXdItXbv9A9RNXEUBXGnVAi24E9M13QMA3Nmt3cVl3Gqo%20BvMCv9MTgbWaF/9Pix4AcIH4AxV/4AAAUAF2+DOIuIPQQN6MHKnE0AA7qAbQzYA/eNVjbdZW7S7a%20+QfyKABsKIVrOIZO6IQF6AMbAAJAsMoZYJJXzVpHNRL5ddXtFUk/CpUbGAE/2IVuUAAQeIUKYAEi%20uIJiEAR+2N74zdpGtV+BeFR/cANIXTUw+yZfGkHE2Cp+UBDRQAYyUoFE4ABe0Lgjiz8K6AEeOAG0%20SAEDaGEXfmEYjmEZnmEaduEYXYfigmEWZuFwSAFyKAYgDmJyqABqcIRFKIGOkYcPGFNEKABcQAQC%20iIBVaIJMAIYT0AZFqGEt3mIu7uIXLgZyIIccpgUD4FIX9mEx9uL/LmZhAyDjFg5jOE7jNqaFFJCA%20NeSU0/MoBJCAcP0zX2CHTSIv4HGGPQaeXjQvuKCkH7GDeCiH683eUnXURnWHHtFLS24qLVKFeuAF%20d3CBXvCHTjgBO/iBdzAHF8iAN7jLUs2ADGjUB+AH+YVVHchaS65lW77lwhKvPNkFKNAAN+DbB2gA%20IoCCVPWHH4AHKVjgWH5Vu/IHFugHCeZaCvbByUyJGHBPSukRCr0nDogAX8A+FuWHpiPeEwWATTCx%20Z0IAsvAp92znG3BneH5neY5nep5ne45nashnanhneq4FaqiFSZgEVBhoVPiGSfBcV4gAPZAFR9CF%20LAiHf4BLXLiD/1bIBgLwhFoIBgSYhhmYhHr+6HsOaZAeaZGe54C+AY/W53xu54CehJIm6ZHmBASQ%206Zau6XemBjKgBgRgBzYiRghAO0ZiBxCBiOdo2/74Q+raClKxMZGNixothwzAgCGAAhaYgzl4gyEY%20AhbgW23s6g/ky8EQBxuYAxsQAWNwA3fgBi94hXfwBxsQh064xn54AFYWRIzFgAxwAx3YC6/ua7/u%2067pggB64AiKwAX4FAW54Byi4gv49ABt4gH4YgjdogDnAEhZg4AbACu2dYMDzQcKDCAmwAADALQHw%20T41KjKiolwIxAgR9Z2xoAhnaBE3TyTr+SdlqVWd21H5gAVpt1v9GbYBrdeuRsoZWcIFvKAVsgAVh%20rYcX6AQIUIFfoIZX5Qcb6ARpS9Xu/YfLboA/4G7v/gOuYuBmfVUjadZmveCUQDvY8QcXIA2Uu4FE%20EaS+5JyBEp2N2eO42BoaZQBUHoIrqGoWyOoMYIFSvS64ksd/eIfq1geyhgVIeIUfcIdqFWv4pesM%20YMe7zgDyFkkI6IE7EojFtgEwmIAPOFUoIAI/8INvOIBXHQIMaGDt3m4I3mxp7uxCUcVRYtvkFddE%20kJ6U4L2VuIob0hKgSAxnCI2h4Et0qG2fwOVbtupm/YNzkPJ+6G7Mxm5rhezBuAEJL4V7cIPqfgHH%20/gdYfVUIAHP/OXByNadLx5bwwuJt1OWCDJDaOV/zJ8za7qbVc7Cr3d7t7X6rJUE7TGYKCniOlame%20fWtQgDuqE1DQBBiBgnOGrhmKqKBROb+CK2DVA3gDqW4Avr29Z4vgf8jaN5gCPFCFUBCBBwhoZwoS%20W2VlWdYBDJj1DGAs4ebEB/yoBOiCqHYEPLAEU+WHTcf0OQhgrLbVwrIBZGVlFtDeB+BsSeXJgRII%20OhOBPOMADugLlPAkV/kHPv5xZ1OJexKM3DxK2VrVVnX27a1qq+buP8DeVmYBW40EaX0BLVggt65W%20BgAHKUDmfD8AaUNVz2JW827W8C54QRyoVm3VHNTmkehW2Lov/0aikv9oHqqAE5FQgQVIhE0wgQqK%20AGlIYdzCBtEzE3R4hQ649CtIVVXl9CHwdB3462usvYJihqhg1DhwBExwhEa1+c3Bxle/glifdal2%20g364VZlPeqVHRkZBld3OgCl4hCRwhQ/QATB/gze4AijgBh3AehvgB0pWdlYecGeHdq+li6b2CQbI%20lzwAxz+pK2pKjDZperITLaaoYyacL3Q3EmdvVqueA+6Gd+xlATmwAWml9xdwVVAufGV3VCmo1XcA%20+FZz64QvePPmKstPeKxYeNeC+ETUR4HgDQgImQgoAAXadpEAgAVAB7gUCBcQMF4YAWn4uvlxQIuK%20gXDYBk7QXf8v0IBX8IJvwAI+4IMZqAUQiAHkT37lX37mb37lBxF02B0KmKl3LhsROAoRAIZz0IFa%200IVHQIEaiII6IIRgyIQq5gLnd359IIIj4INXyAR+LQdw6IJyYAY7wIIrSH/933/+B4gYAgcSLGjw%20IEKBImL0iIGAAgMEIhZCRCCBgo5BdZgwQbFhnIIOQ95gwPAhkztjbvhpePVjUgxOZLpUY+HPzb9/%20/Px5GPHvBgcKOv8lyMnP6NF/ENgBWHCsGY+cCYoOVZrzn1AEDK7mhCB0a050PBD442r2LNq0anOW%20PXvgxYEDNvzNvUnXRly5bmo2+NMAwjsbeN05W1fCSYnEzsj/9mvguIFNuWsnU65smSuLzCz++buL%20N29cqgnatr2MVjDqzm5u/rPh7rNZf/z69TzaOScPISI4Q2D7LwUHDhZGCHHhazeEfhDuFECQCJtS%20Ebw2cVBRyQQyAAiupkBnxBstYBXs2DkFphiWI3FmZMpkIAX8+PLn068fnwePFO/xp5AggUcFFfw3%20wjnyJLPKIrbUUEcUaMQRjCgfDEKLffbFMsMRM7yiQBAKpKCNPM6Q8w0WoFR4IoopqrgiiiMY8F58%20FSBgBH4nxPCPBGYsg0IUNTChxyqrpCJADpIE0kEmFbQjCBhmaBDPMynQMgMZ5djU1k49/RTUUFT9%20008Cs432/w8DdyAjQAsnMNBPaSIUJYIQTZglo1AJjLAbVxQYwANEU/n5J6CBCjoooBAk0A8/ie70%20VlzuvPPOam6gllcnzGTGxR9/tJbXPAJQkkQROBThyB0cwANBpphW4447BxhKKKyxyjqroJn+kYCh%20rMoFGlxXKYcrA7TC+s4B77z2gGorufYZmFPtlFNtnLWV225toYMObQUs8FwiiagAgT9UqYAMNgs0%2004QFCfCSBy8nJFJAdjdchUACM4DCADeZ6ABCPHfkwwcfoZRTjlYMGHwwwgkrvPDBCaADEQQMoMMA%20Ozoh4NWNuiywSgGULFEDyB6F88EH6vDBMMNEEFEOJw1Ycv/HOB+AcI4OPZBBxDQo67wzzz37vDMF%20ETPADwM9eAUBBCIY6swvqZDCRA0OhIFDMhNUkYcpsjwSDgg66ECGIznwgYAOr7zSRSgZZMCZUTz5%20BJRQR3kJplQ5pdBUCxzcyFU/OY3QwiYAnMCOBAwck4cQRbVQiQcxjFYWBBJUbBrlpmnWmmeoaf6C%20FnB1EpgN37zDAhdOtEEP6vSQkEsuy+jgT2aObTZX5bXbjpbsm3U2KV69x3a7WXkJ9s8DyHa2+/BX%203fZPtMtTK+0NXrLDgQsAHOPBVmuWlYAL2JhwAwAARAQADwyoIIALchJlFBlx8PPABzr8AA029mCR%20gezAU8b/Zk50/5TTVhKggjzowRNmMMTHOFIDPIwDBCBQm2kaAIXMhMIVdzCEzLzGggZUY236+yAI%201TIVnWylb9vzRSIqsQAqQC0MDlgCNEgWg0Z8wRROA8MHFHGHR8zgAV7TQQPUlgHW6MRtW4rb+pR3%20lQRs5Q55ONMJ+val5OTEGnngwLty4gsCZMMX/3BGAcYgBLYcRQQpoJdOFKXGNbKxjW5s41QMxb9y%201KQfr3GUsdzhBbkIRgud46MNAuMOFqjBCTvYQSF20IY2sKEIhuAG7B7TgNm4442WvCQmM/lGW2WG%20H4LxArEOsMdAKiVYTCyKJi35ljymIx0PYEBnGMCqTsgh/0xckU3zpqUbtlHlBlvpTA/CUppg/mME%208vIFB3IigaIwwD9bmchVAsGIH+xLB06IAjatQAh/MMAPNugHOMMpznGSs5zixFXf+GHLnATtHwgA%20AAGw0Y4H3AMPjsCmLZZACSqY4QEsmIM5zekPdzzgH1bAZhTSED8Q8GEINnBDQCMq0YlStKISBVZv%200PmbL8EzESZIRhYewaAoJIEKYOiAO6AwhDi0IBWrIEUU6oCCOmDAgSDgRwaG4FAsGRFuXeoKZ6jS%20AyNYwBdNOIEvrDEPdfqGAc3IAwOaErEUHCMCQjCCAAQQAS9KBR0pOOqeWCTWChkgQGdkBwIQQAgl%20KMEHSv+ghgQQUAxjGIMH4AAHNdQxCQSoQx3U8ME3iuGFF/DAEDigBw3gcIEL0GAHAVhGOCpA1wzR%20QhvhCMdYM6vZE2mjPvCgBjjc6oO1WsQ/PHjRZuXDg2KwVgLAAMYg2MoF0ZJhEGowgARi0Jur5BI3%20uwxXEikwAgSgdTv9QMc/JrdbthEFT2kB5z/SAwGvfWADUTjoEkrgyTnMIYRqkWLdcjKPAlTiGIIZ%20xT3yMYU6WKG9+ShAKuLBXdPQhRsgYFANopCMZZgBBDp1gzu8K2AQQtcqQB3BJrJxDHTcwBdmaK8V%206hACDijgBzaAwhuGAI9MJIMUaKiDTJ9gU5zqlC5t05L/T+UGQKD+QwQnKAA27iCAblnDuQBUQQTm%20sQABbFQC5rLAJhYgDQFs50sM4MEJThBX/zC5yU5+MpSj7GSL9AcBBmiCL0KwgQ2kIR8eMAICYvEN%20YyAAHCeIhi4s0K58GEIXEvDCKYhxhmwggR6FKIRiG/vYWkzCGBeawWuBkQkpE7rQhj40oYHxZGro%20whu6yEc+tPzlsTCZB4gmtCAyHddBWCIfrnh0PkBNhrGIALxus40uq5WTGOzmBNioRCU2UQlrcIWY%20/dgOBJKCFX9QoG9Ku4qh/nGEI7zCgWmIAhOkFoVGjIJZFn22VGCJIw+IwAi/QUYefAEBuBwACkTY%20jAge/1ALN5SiEgCAy7O99gMzRMGFDsDDLVaRjEBgQAfceDa+863viPKjN+jgRQWscoxsbIIXXvmH%20oyR3juKhI5RwscEcwPGBHTlAakuQGQgekNMhFDhLb+OSir9klP4hgBd3wEYBTNAEClDlWf9oggAW%20sABf+EIAEDAC4iiggjsQ4A42psBYjpLKob8xqESrgAqowIY2BEBUjiTDBuEhBXVEI1SLvHoO0nAK%20TdDhDCooQQBIUIgyLFaRhnhdXKDgmD/o4BxEfzvcLdk7wfBjg/koQtMDcPU7WIAC/ZZi3NUomGpk%20ygf5wEHTixAqxYeAf8qjzQhQ7dtqEQ2AN7AOMu5Qif8WtBgsFBiqACwgm97EwARFroA1UtA3pHEm%20PV5w4AZQELUXFqEFYIjLgK+SlKTwAgDJ5AUBKsGLnBwgEgeYwzQgk45ghBMA2cDFC0zDDW5oIAso%20qLgDHrEMKixCFo3wWu7Db7vejOAOKlhIIvJAZKKUxQZe6IwOHrCbz8QF4iyAxjJm7wA0jEJmGtdp%20x/UUyCWRooAJeL3JP+xNUkSM3TSDBfxDMwDAP1RACgRcTvDCjeSaVCBA9Oia+J3FoXDGCBxDAbAB%20CbABG+SCHthD8rGAX0iBIeQCJbQBCewACQRAAOhBJZyBGHROGoQdDZSBEKpOEmQCP8iF2kEG+H1g%207mn/TlnYHSXkAhuEHQ0WgBCUBaKE0FwQ3h9wwQbogeLhYBHkAh6EQFr01j88T1uAS05cHjJEwAJw%20QFFQBQVYwHMU3G5YADIIXw/0QyJkwxjRTVkIQjHglCo8wiOEQA5YgSQ4AisQQB/YAP74kGBcwRW8%20wRtMkD8UDyfqVInRRT9k2EhwwwNcQQb4kA5kgj04wgZQwioAAiw8QBClBXKl0SYgQw/cRAZcgT/8%20gGN4Ukn8gxvEHzqQgQB8gTBYQSNYQQ4UiSpgAwEMgw4Ehj+kTQMQwRzswhwcH5twgRoE0gZdQShI%20kB9sow0QDxcMQUm8AQscAKushj/kjmOUBAu4Bqu4/0MD6BQGrE2ibAEGcIMbNIo77MEWOIba+BCA%20YcAG4AAOLMMqIEM9BMIe7IFJgEBaYIlUaMMjLEEjdGQj5AAmkAFk+EM/FA9OFBGKDaCXSAUdJkCv%20/cPDwGQSLZFyuJPqbc8/9GFnCMWXHIp+cAZe+IEf7MILwMUL2MBIZJhg6NQV+EFRwsU0kE4DINxb%20eM1THsAfNAYCPGU7PAIJkN1iwcEOZIEnnIAqDEI5aAAkBKEQMtYOqGA3RIJRrkH13EEf9MEwAEEf%20rAI26AAXSIEacEEGSAELJIDXzAVkgAZkzIVVvsAcCFEG1GMoEZQOqMMcBNFi+sM5/IEU+EAwyE/8%20Ef8CIfiRJBKCGvRFA/hDUdJFYHhjahalKgQAPVxAW14AAAiD2qjBaW5jUf5RA2wjo9SfFwgGd0HB%20HAiGbtqAH2mBN3wlbZIdCVDBCBxKacwGGqrhbtSkFMnYMUjAyIFTCyyAEQROxPhCBEjDCfgDB+RB%20BDzgbiWACBSDEejDDDTCI+QTItqCI+BBAZxBJTzBOhTPD7zDJWIiEegDMzCD1JkNwGDiO/zAgHpi%20BnDDD1wBFrzCvoxDEoSAI8gCFYSD/KjMoEgMBZSoB1TCHfRDOmQAH9jBAxABGbyDHWDAG8yDGzxA%20OvRAIrACJuQAIi7BfWLCDHRBFRBAFfyAHVymKV7/wTRAgR/IgRyggxRwARd4gTtMQxeojXE6qRzo%20AwNs5hAQwh7wwTR4wTe8ghdwwzlgyh+UgyVuASFMww98wzd4wQ+oVElwQTVMXyAQAjP8gBcE6its%20wRaoQ9qoAYT+gDtMQRLswwaQAimAgRZM5ESSzKsAStAwgAhAxA2MgC18KiJigi3cgSRoQxeIwA9w%204ol9HBJRBRtKUQyMQAEUQCJkhwQgij/kGjeZUAJyRW/o2m7V4lFIQArkhA3IwVDuQucU5QHolFLa%20QElcgbI+ZRJOZascQGPGRVaCAwtwTiTEglfSpmLdmSasAgGwwibogSZUAT0IoRA2FhtswAOAxjuM%20/8I6UENLrIEdvMMwRAAVdOEf+EAG/AEt/IPX0EVicltmNuZl5lRkxgVcuINmSoGbqs0ciAPx+ABn%20qhsIcAMhbIEfHQAXlETurCZdfIPaNAACyGUTyOZiLVYZCAAmPEE6DkEGQEFvLusc4CyjvEAnFAtx%207uxx2oAaYIA7eKsvkIBiCWEiUYERlAYZXedvFQV4iYAvYBsy+AIFiMBs5ERTUEAi8BgTCcECoMsC%20FEAeWEOw8YMEVMAaNAF8zIIHNMIUhMAsCAM+tMMIdMMCZAM28AICwEI8dIAC3IMZ5Mc8pEA8wIIi%20KAI5DG48VMA8jMDjKoDg0oIigAIWaEAHnEAOXP9fR1jBB3QAGKTHCJwu6p5uBRrACEiACPyhLyDA%20KIwCLNhBSDwuOZDDPBjAJIwCNuTBMYDCLHTkLEzBLMzCYmgAEGQDKzBCOpxUB9xDSCjAGhQDLTjD%20NoiC5sICLJCuJyiAApzCKBSDIoxA9oaEHRgAKIDCEYDCCMCCAogC+OptPMRD7rJWMZAD94oCLGwD%20LJyuKMTD7LJWOxQDGAgu/44CLRgBmaEACjBBGKBBCGgAKpzCGoCCPFiCJaRu6lJgBUruCDTB8Y7w%20LFjALJyAgEjE8azqEf1UVVxFD4yAABDAtiDO3khRy/nKVuyWvOQEAiCXOh1KfihFJsACLZRAGpT/%20wPm6gSC9Az9kgihEsRSLwjbUQvGwCQPMhU5x1xyQzhBwQTm4hA6Ew9LtAA0wFg2QQB+sAS7gwy9g%20w7oiEhwUgp4FQAk8gGvwESduRmsE0h1kgwtkBicIhvGlrAvSzA9lygapTWf0RQZgSgIIxjeswRMc%20hhOsQwUMwGBx21s4QxpYQhrcqxOEwAB0jgtmgGA4Bl1kimBM3aK8gAXgAAmc8QXQMRWkgr/GkA9t%20QzhEsSWIggbXgg4I0RD8kA7Y7BA0QD8QLRe8w7IKQQ3CgRDaICWoz1lIrapREVgIANrmQTNQAJZw%20zyYcAzKowFExwHQ0AwcgQxhpB7AxAPd+Qw90/4E+8sE+8kE5kKQGmEAeEIALpKoGBEEVQIM7oAMw%20dAGSdkEXmI0GaMAksMPDvEJDawDaqMwrZAI0PEIYRA0KWIEGZMIrXMERTIzCPIQI3CoFGAEyLAAz%20jMIzPEBD/8AzuAE5MMNSvMIwSMMxsEAGYMEQTOQbAAwn8IAP3UMesMI1+JAnmNQ7oKkNVIM6kAwR%20YMEznEMmZAEQtASaykEXgEMwnMQH/EAMYIHKkAE6gEBYhzUDPKjZQKkcfMMzQKjM/EA6oEMnkAwz%20PAOd6oMczIFL+NAosAMLQIEwPHDFRUEOaIAXaEEk7EIGBEMwpMPC3MCmxgA7TAQ7FKg4hsIVsP+M%20QitNZwCeALbqLVUtBWDDJmADMviEB/bPCLiAEYhArmIFmL3cueBJHCUAfPiDCAxDFVACcBcBFZDC%20MLyCa3SCO/QDNJACFTS3cwuAGaTDbUSyP2wxxFV3YP7BO5SkJZjgnd0ZDdBDFgDYZbLAN0ACYs0x%20DazADVoCPHzGa+gAPJwDPBTFO8iBP8gBNDaBldjAzx6AIf8BIntNP/zBIg+RP/gFld4KsZRCKwDA%20GBYBJRRAH5gDs8bFKRyDACieAGBDCopBKZdDA3CBYPjFXLCyDbigFPiDKN1BEbQBns3xDlCBJxxI%20NpACNECDADg3FQA3KehCMAhmBqhBNQ2zzU7/EtF+Y28KQQDsAG1egCJRgTOcYeRJy+QxF5jUogdY%20Qwtgg5zI9nb4gwHIGDZIwDG4AAVUgAAMnwRYQwFwAFhchSA0G0kaj008AETRBT/MASj0QSUAAjQM%20giHggSv4AAvAI+ywQPHEY0mQ7B53kgZ4QgvkAPahwCOsg9eIQ2EKilkgly8A4gNwgzqyQDkQ6gPw%20g2OAQR5QQS6mw1WwADhLywO8Aj8wAiKsQhaUgD2UYfzgORFcQfxZog+lQRHYQghwg/z8wEH+kCw2%20OgZcwXQBZAJAQTkUzyLb7BUkgBtsOwTsYjEbeWeUhNdkABmk6kq1QCtEAfbVgC2AgRf4QaCq//ig%20pAUn1vvy1F1mVAMLp9hMTtFy/Qatct76dEZSGMEdPIcK5IQBAEAlCIEEYINqt0ACeCdn9AN+/AM4%20rMDSCqFYBoAS0EWjBIE0u2sZwAEJ7IMPIE+KW6z9/cHAnoM/6MA2kEIu4GAAoAEJtEEuDIMdHMA0%20BFMkQELOD73OU8IgGA/tcKLaUClkTIMNIMImrEFeXPg5bqIxI31ceI29P6Er5MIi2ZkQsoEu6IAn%20cQ4MCEC7viw96IEMaIFsdEbn9EM9Jvgf2ECqhvoDbF0q6EEATOENBgA2eIIn3UMqLAISHNJzums0%20BIPNqo0xN/5nZIA6UABeFMMv8D0J5HwA5P9CEejC8nAFNnPGbgTLP5zAHQBAC7jAHfgEeCkTjfyD%20L5iA0YxFbxwcS/YDA0yCHczFasg97IwJP3BDSs0BN9zDAhCAHrhCDtiDK6y4G8hBiu/pvbEABvjj%20FoTCMLpBZoiDB1RBKhTAEjgACoRBGNiCC3TAD+gDH6MF17qTUvQA2sbDAwQjCxBqA7xCAzxBHqSC%20BgCEP2b+/sX4B4HTv3/MuD148OoKkT7Z9GxY8qgDiAf+MmTQ8eoNFg3xouXI8SiTRo5XfnwA8YNb%20AwwYtmDI4M8hwQYN3Oio1qBjhgYsHD74BzSDyyFD/rGgqeGBUIeNZGVDVCdMGBR1lmSx8+L/gA0W%20f/4oNGuWnz9+CSBASNCvaFx/BP2xsGtXYVoPI/7d4EDhH79/CRQSztsvLQJeCzYJOAHhbL/B1pA1%20SVQgcLMIYzwgEHID2YIbZhOgq2AggYQVZeBcKON6xwpRogSdMqcgCJwyu8sU2rFjgw8dzOTIsVFu%20qTgoUMRxcf7Azb0Ft9isqN4GO5t77vyII+jFXAASbayzwZGkBLx03N69Y8bMTVQ1ajKU0zfNBq48%20Z74deOHlhQDngIAbEII5MBgQuBFnjgALfPCHdH6gQARDcsGOHhp2Y2OZce4xxxwYYHCkjQtcu2CH%20AD4ZwAYIxElACy3KKYcbd6Tg4gcbagnG/x9ozqikD0eqW4E8HJIBw4sfNNBgnFx+4423cYIZQo0h%20uHhABxDOWeqKBl9QR41/bDCnlQKKwOE685JoggIGEhDMrL0Em0shHoQQ4R9/IIPsnxOwIYCABSJw%20AR08/wHsrH8QKEwhNwnrxy3D/pGgAgZweqAhLDfSMwF/3nijHxBAyAENFBwIY4lwdOCHiCvmquau%20B+DR4YG7FJpEiFQiOEYYazCZ4ldXrOHBIX6MPfbYwAhjILB/FMmjildYaCAGFpbS4YNXBCDgCX/6%20mYubhrjx55Vxn4GABQoOeMcfQ9AIwwEUljDkw0YauaabKqqgQg9Ts8ohjVce+NSGAzrCUv+HHbF0%20g585rsjAIRvmSuDAc6bdaY45EI5vJxA++IMFG57ZYwhaWlkllSzuEcakRgzJIgtYwJqDBVGRRTZR%20s3qKC65+3JDsLhby8mevvv5qVtJE1WIAm2yyyUOFRCXrp5k8/hFggX8YqKCZBVw49ASv+6FgLQoQ%20OMEZEbZJgpI2aDBxhzZyKQCRuhFZIJHxfqOBhh1I2EAfLwZARQIfBqklkyUV/+aUFz6hIwITlMgn%20nBGckKQESxSIJ5ZYillDAQWcKCGNzC05fR1qVAdmFB54kOAGRZ4gg4wnOJmjHS+6yeMOHtaBRwlU%20NKiFnQEi6TwWfYyfpBbhFUcFelQESUf/iSXaKOTEQkioApDpFlmEgDOQ2MFEvvk+Jg0llFBEkEgG%204IQaBFQfxIBgamHmhEqyAQMEJSzJ53RmgIUTnKCIYkTiAPrYAAl2YL7fkAASkYhEMQYwuCVRYwZK%20wEIsoHcCWPliE7xbhyJKZ4k0nE4JCIgBBZImpzwR5B92whNBEDWafwCgAC3wmllmKBgJ/KMHWlOI%20CNAxGBYyi1H9QEAF0DEXTMkFhtX41A90oIMQmMoBTLCFIRTADShcQWKwsksMwiEEavgDZP9wRgsI%20UAVBPOAPXBgCH5bChXLgxA0wzBmeRMCsRaHLBNLIAgu6IA8h0LGKTROG0Jjxj3TE5wcP/4jkA771%20D3Sw4ADu4IYusuIABwQgEalIBStYUQk6nKEKBUiEv8KQCz1oYhiSeIMN3HGFK2CpFmawRDByYoOO%20zMU7/ujBNswAjH7spAFzcGJOGkAGYlKDBdywwRtygIw8DOMD7ngFGYZAiC1w4QPcOMAB/DCHaoBA%20BzkzSz8kcxaH6MAN8dkUDIM2tKL5BTCCkVQ/3HQWEXDAFwAQwAgIgkTI+MMaleAANrARg3n8YwSV%20sAYEjlGJO5zFH2Y7gRFiUIEWXIhvF+hbAKhwiF4cAqVUQEMDzUeDAOSAE1qA3iSUUAJRwCIesNCp%20Tr3QC2mcoRh+IMQQ7LcFQhAiGK/QAP/yvuGFVyiBED5QhzoGoQ4ppA4YWYXdDSYxCjJcYQa04IM2%20QCEHQXgBANK4AzhKF7oKkKOCyItFBedRgdDp9BR2gF4kvDCJNKwgQycqAxv6kIxo5CME+zBHKYpA%20PpGyNBlPUAMhZvANuspDHiOwhDPCEY50mCAbgIjHN3oQDB9I1Qe1oMBRp/ENVETCGBsIAEv75rdP%20AMh4qBiAHWCxjRJIQhHtOMUp+HGDO2QjArxoADXgAQ54UMMHXFAfDxAgAkkRbQRzgqEM8/SPfrxF%20ITc4gQCQAYAK8KlR/HCBAL7mln80AQApoIALCnAMC+jzIP8gAy3KwYK0/DctddlJBt7/sIcCbcMe%20YaiBJ5cAiFRUYRZEIEIG/vEAUWViApfg30esUcp6aMMCHhhFlrLUAWj8gB0ecAEvCIOOgw5mLjGO%208RCIAAACBAEEyehDJj6QiUsQYBgzGQoLYgzFAWfACwfYxi+Y4EkH5MARWVjDLGYRi1eAZRuGWLAn%20H0GKVKyCFV+oxxpsYINz9JgKyZCCgtxhAyiwQAfc0IANXDIOUljiHBuhpQ16Ak+BDYISjuDxO2DR%20CgIkwgiiquI5zrFmUT3ABkvJAJx1IGNLX1rAQSOyHo1Fp8Bg12j5HMxZ0MsPZzTjGC24QwsWhUQ9%20KeQEd1jAAk4ghAKwIwabsIYErAkA/19QgAJzQYwEfiiCFZDgbSbyDRt8ECAtvMAGvDCfiR6LBACY%20I0AH8MIvhlSdJCThGq2gQysi8YJy+iGTGZOYQ+ZQ5gNUMZnjLHOeNO3pMoulKUKbiw1ekYRbrMA6%20ALfOJ8r97AB9ojrVwQEOimAIcdhAEGsAwAKQEIA27AAO2INDEdLABTX4QA0HQEVjXVMIGmhPD4nA%20gRIwqYVP4ADgbVB4NO6Qh1Z8wx/waADI/FGwcXbEPwF6QwiQTW2R0kATMhjAC579jiwUIeYrwMEy%20DCEHQ2NDHkNxxzjBIrGxqPMfLvQ0d/1RRLOkQAhCEAAA7sALhfxQMB5YAHmboRALRP8gGyM4AQAq%202oIZjpoMM4DVXAJMp4s14FNuAAE0HIECJpjKCi1wcN2E8YQeFAgECgDCJYKgAEgAIgICUMUVjhGa%20LOjgHJkAgyZSAQILJAIbEeCA2c2C3kS9IQOcwMYqLuGJZEzAx9m4xA+EjJdlOkQhR87kPRzBhKyg%20KhnQ8AcGZlkwVHii+c/HgSHiEQ9MfOEMm8BGPRTwgXEsIwnegGebM4Ytd7hDB2a4g2E1wo/2/OAH%206ORGT3ThiCSAAQyowJSI4QD+wSWqqIpEBZ02YggehtLADuw0DS8wih8eAE70gi/wCWnOQjAghR/m%20ARkqYQEKYAF8gTA6kE/6YR5UIAX/EEAFXOAGeGAEgsgFVMACeAFRvKUfXucfRAAH6CFD4EAI6SEA%20SmAXAgQs7gEI4YAGhpAe0AAZxm0NXkAQiiAXxCMAAoAS9AAb6KAXng3d5gDdDkDdLqXdxqmKWGAO%205M0G6C1o7O3ebGUu3uEBBqEIxKMNxIMESKAPli7oTqEXSCAA2CALtdAR8IEYACF8KAFNGkgIhTAX%208oEQ5gMDvOAUioAedmMISYASCgAJkOAYvsFxckEQsYMEikAWKkEAeMAGYGUniMznDCYDgu4F9MEJ%20lvAR4YAeNIEOvPAUtKATsuAK9xANAiAXSIEANsEEyOAVfa7r0KgBwE7stutO8gQy//gBMmLtGBgK%20GzwgZyauAhYAGxRCBTYhGywgAURAArIBABBATzKKAhRBFcigCzihBybhG9ghHzmBH2lnBqwMFpbh%20DpLAJByhCFrAEzzgGBbAFFihCrLAF6agDlCgBlBAD5AhZQLhDSRBFlqgDyLADDIACyhBGrIhHkbh%20BKbAFFqgAijkBhAAHRCAHWaSJtnhBjphBhrgCWThC5iACaLgC0yBCj7gByQBA8iAHzmBJp+BJvuR%20drCAEbKgDwjyEXAgC4bhHiYBC7DgFV4BC2ZhGPrAHpYAB7oCKyfhCo7gHvrgR1ahCNDAJ1EgDkCh%20GIpBEuJAG0agGEpBEqIgCmogCv+WQBKKQa/eIQO2YAu8gBv6MityQRZM4RBQ4QD2IBDiIAPYgROQ%20EimV0iYx8wZu4BmYsiZHkzRpxzQzkx8R4AYuL8bsKQOPBr9GTSEggFluwAOw4TI2QQjeRCH8oVPM%20gllSA0++azTogi0M5btSgAf+4QfEQAa6wQS+bRl+DxUMDv7AQAaysxtgZjtPYQBkgA5srhkcQQhf%20A0VIIBe8IRjOoRYQENJs4AzfTQcyZpyk4BzGCT/nrd66y+ckpshsIJKCYQV2gB4KwTzhwAXa8xU+%204COSoTVY4+QIFAmQARuIQRDeIR6WgRSSYRmKoBtkQAxgQAsM5g9eABWyIBlS1Dn/HWEZYGAADEEP%20Tqkb7sCxTAQO5MYQ1OUAumDAnLEAUe8B3MHZAHEYjmEYjjQ7V6YVKoEVHCEa2ICBlI1ASaAVSkEc%20WKAc4KEaYhHa6kJo1Gka66QaYaifnEEANqEAsKEAhKAthAgCBKAAICARACA4PQAZhCCG7uAYjEAh%20JGOJVEEXFEEblJMcjIEHjCEFtEEbZoBRZ8AYRiEeoMEM0kAX0oBSdSEemOEbiiEH8MDB8kAWKLIO%20gPIOoEEDhiAQGiEbOKAZCAAarkAVVAEbFuDERgEPZIEXDGAeiG0EUkACXAdYgVUbVGEG+KARmg8w%20ZcEW/uAVFCAOJOEIZkBRtYEH/1pHWBt1Bo7gCMwAGtIgBELACbgVDOIBFJ7ADuxAW8FgUr/VCUQB%20GsCAHLCACLjhFVChG7BBD/6yIr8AGaKQlGRhE8JPWWugBuoADVghAs5AYRHhC5BAE6oAD6LAAWrg%20EXJhFmYAFU4hECqzBBQVW6mVB5RTUV3HWoPVZE12BuIAW6VVVw0AAQbC0zAw1DYwv4amB//BGtRU%20ABblTWCInyBDUtjBUF7NHwxCNiElBVLgILTARb9hEAYhEzKhA4Iuk7ClguxAcZak4AaAGBJhE/TA%206AqhENoAByAAYXQgGDLhPd1NPunzABoNP9kw3+6CLsRE3mQMU+BPCdjg4gy0Nf/goAVGDAFrwQRa%20g9pMDg1wwBWKoczcQQLCgRoOxAd0q4KeLQO4wD+KYRSoIRwqaB2UIBK04A+6wBpaYRMSYQc07gK0%20pwhmAJNsACkyoGDA4kfzzAaQ0As0oCu7MhKgp1P0ARcAgBVkwUk0zuR2gA0Y9zhCQeu4LizE4ktz%20JkxjaEz5AYn6wgQqIfSQ4RgGw9VMYAEAoBJM4AS80QMi4AROABmkgXzzhDAgIAbWwRliAB16AB30%20QQ4ooBOADdiCAR4YoAfahBuqKB2kJU844Qa4gR+gYBqeoQNywBawyAGigBZ0YKmgQBVk4Rj6YAGM%20IA7eAAPwABmMQAIKoBJUoQf/EuAGWAgB7Jd/X5gCnsEG0EEVrKDJToUJlKEBdDciYJh/0QGIYZgI%20doEfEjAd4OkH2qwa1OEDPqBVilj/3GD/ygwB1oFBdwEK4gAHbjgM0AAPDgETbMEWHMERUAoua4AJ%20KtIWTKoXCuAL3vgM6OBdPIkJloAMoGAXdmFjCQED1CEU3oAI9mAP3oAP4KEliJIZQmEafJiRG/mH%20eyAGrItRPu2eYFM2CSNpeMACVAAAsOEYREAy2rQwJCVpJOOHRq3UEsAAlLYfbCAq5GgIFC1I388d%20FE9UCsQ9jWIStm4NiOEO3uY1mLANkgAY4EgKpCAYEFAHdsI/GE0Nx2k+AqQN/3MmenvT3by0AXou%20yfyhFvgW47DHNfogCzzh/PqACrDBcMuHHtpACRogFu9N27zgCvwgRmgXP92BkvphnN7BBmJEHRog%20QPDhDujB6GggD9Pgdg9gLJgZP3cOOt4pJxTvHERFCuAhGI4Z9xpAFZZhtshHCPuGDSbhee8CViBQ%20erPrhcT075BoNBjABAoApq2B1BTlGASA1VygHUfgDiqgAgRgTjkgBkT5H6ghBc7BW/6hzcoMhmKM%20ASzFHwaYxLgBAvjBLh7iChoAS3ShDpxsgjGBQRvgqlsAGTbBF+bhCxphCHIgEQyAA5DLEdohZ5Lm%20LCQmAVzBFpoMXraigh/gqv9txaQVwpYSQJnhiR/KzC6qyJb8If8S0A1egZ8PGwSweArsAa8dYAnw%20IY8FOZn8gBGWYMF8MgqsYAbGSY+VQRl24RP+0pMo1h52wQ/8YA8QcwsGbCneYAgmDWE2Yif+mrdJ%204zfXwjVnNjYbpTcZ4ARaoKaxAQB4ADB8s538SWtGwAAKwpJiCDBEAL0SIGkDo4qcQ44UrUbcoef6%20IUsUUJmfgSCSOhZ6IZ1FigSSwB/OQR1OC53QaZkB+gWceQ0P4OMCxNPMopqtuWCaYijsdl3UAQcY%206G9NpAAAYRUIQJQEoApslAn5ZgWcAHP9Iyy8wAu27gC4YBbjNj91gAX6oc3/2ixGljjbrIGgD5ds%2018EGONwuGHqc/gBi5ClT4kOZGe0cfKAfMuCrMkAN2CB1qa1vcICfaWmRSzrAIXB6ya72jBYBTAAb%20WoAHYIiFFIICUoAwOIBNteaH2GEEnGFReCgBMiEeNMIN9uzeKhABd8Ih3OEdbOlToEBjUE8Hyizz%20sgAAHsHPc8AFSAESKg3+WMAInqAB2qEP7OAHEqAdWGAGeMEOIMEZOBDGMM0GjMHzDuEkAvMRgCAI%20GFQkcwLTLqUoymwOwFoo/GA5DqAT4OJyDRsp7NzOw0IE4MHjrgAXSAEIVmAf2mAJLkEGGscPrsBj%20BmBGHcHXV2AJAOAeUMFB/9bsFIDAFvyS2R2B81z7ABZ0AU28YJTaPRtGmUod05SZZ75LjKYluDVw%20uGvWepsAa2atAPj0LBLgLfjhW0ZDBUYQTwdD7kygN2GIH7Y7LWzAlqBgDN2hGmai+DBgCBAeCVM9%20FAaBC1jADU5hGJyktjixG56NH4BCDXbhbaUA6A7gmOPtAI4qQJDJr/fN5XsudmX3AJ5NC0QgCUhg%202WaLBHrBHGL1CeThO+kBeflWbpIAAajWlzLgtjOAD8iCLCipAi9XyKelv/5AHRCISsZJC7pB6B8I%20D3UBQF7gAaSgir6dH5xjJ5aiSjIACvyjnl8ACqphLoIuEsIhGfaQb9qABP82NBbk4HnFIuajcd7A%20FKXHbkzlWgJ4IREioAB8YYgUAh2YBRsRI5SbxYYYgJ868B9qIRzq797u7VLgTQ0aoue+qM6JrIqC%20tIgzARq8IQSsQBJyIB8A8APYZYCZtxy6wA72zw3KoQGY94i1PL0gUGJeYQKiQRIE0wqsYAJCXQcm%20DCdkzCyOzyHewR2mJRSuGuHXsA0fYD7c4QdSnent/LXDAi6c4wpmAQzGIbH2gfmDYADeodhFxQ5w%20QRjafx82IBriYUQB4p0bHSAUBLFiZZ/CDUFOvdh1QMeHDzoe8LOBEaM/HRwf+Gsw55/IkSRL/nuA%20MiVKfyJZsGjQgIVIfv7/PIz4d4MDhX/8/iUgCWGkvxHYKiUCsMDDPwgMRPrrN5NlkwUtBBRA8G/q%20mDsUgkL95y9FCp4JbFy54sfPgQM2WGB4i+FPgyFD0L64ewAmTBb8UPUKsCPwjjZFskR6YYPPkAwv%20DpyTkiHDWilSQK4lROiuXpcswdrw5+9z6I+RI9s4oOXuuyQkdtBjwyawjAFzysHUIoPeDjYB2rTJ%20lWTUAbw2ItNd/Cf5n6ce1XDJoMYllDnJ16pRs/bFp9aB27AhwcbS6RfMOOpga4MfFy4NrnA5nqHB%208LuN57Dwx40++WTcaewIUMQycmT0jjgwlZbBH/9gZJJINvUEmkg8CCEC/1giNQUaAwIkYoIvY0EV%201E4/ofNVDP809RMDUPUw0k8SGBDUT1CBRmONNt5YYz867shjj/3gCGSQSzn1E1g9/dMPBP2UIwIz%20PH3FQJBSTinlPyzykwCL/ojDEgjB8KRgkv+IcMOJ/6CDzj9/sBPUPyaOKZIIOlYDDxf/UPADMyZW%206BNYVP4JKEn8HBmVTTjpxFOfDYp0w4YFbOJLZw0+JQQyRpgQwU0GcJCHCRCQGKcEJ5yAAA8InCrB%20qaquymqrNyBwQwUp9CCBBd6YYQY0vJjhgQU8sCPBDewYkEKqrR6LbLIIGMuqAezcAMwJHvBigQdm%203OPBCeQgMMkko/Awwv89uULTBC/lVtBDqamaeoOpzCp7LLMS8GKEBULYe4IFI6RwqgHwIpvqu7Ai%20UAEC7MjjDLlCgGKBBSc0gUAMEhh7A7/HFhsDBJI+6KeEFIL1Y4VFulAJNgL4kgChTUHlogkmVHAm%20AxQY0cxIGPqDgAE/ybhoz4sCGqHPQouUgI5Fk5QABWmWFJQ/7BQ5dNRSH8kSOiJ09vSYFcZwAwRt%20Fp1xSSL8FPFSOyla0pH8xCCm1G777M+gNKVd00057dQT1Is2cYcALYi86E8eVOKLCwucUKEIEQDQ%209I/pGnECO8tOTHnlll9e+QgSxMBAsT1AIEEK2sQQAwI9vEosrDHQinn/666/XrnBBpww8eo3PDMJ%20AsxwI8EoIkwyMfDsTCJCD2JR0PkIFNwQAw8G8JACD7BPP/ENEpjKAAOrSt+DCDEYQD3s86RQeujO%20otM5BQO3Kz2ZI/DAQOsRgzoSx0FPWGGEO4vEQQEAAHCCpfwoASyZ0T9cgIxEJGIsByRAAcqUgKaI%20pFQ9gcpX3obBDA7tSFDDUkkYAAGsHIkC/ZCgBjVIAX5QIAFNAAA2hNCmfwihBdEznACUd4OziQQC%20XYmbCX0iwTaJQGQ7oYAIqHbCJHZMJF+hiaHulii9NcgX2FiAAETYMwpIwCoFcIEQ7pACfhTgDiwC%20FQREYACdQUBubGyj/xvdCJYI+sQfTBlJDOl4oRXG7Y187OMb9ziokRCKTwxwA0uYwYx09MMNitwd%20jdzQoqU0ZYVe26EfL8nGoKBpTCMi2g2KhElM+mNnMWJJkco0pKUUSQQpfCMEUlYS+3UGf0ucoz+E%20gI1EIEMFc+yTmPoRA2S4oAKV4AADYlAAaSxAAkdzUwIM4IwYoIMdImAHBa6JzWxqc5vZHKI3vwnO%20IXJznOQ0UT+6sjwyeQ1FTWEA+pjSEx6Sc570JOc6KbAhK56AHwhoRjakwQtnAMAaJZsJA3iRAjSl%208EQI+MnDRLKTEcDsTCO5ATr8wQMj3KSeHO0o8rxHQiYWym6IypvPEP9QAKq0wABmWlRQDNCCY9zA%20CAJQihCMcDQOTkyJJOlMULpGNJZNEE495anQAkkSEaDITP5ghj8MeaMfgeYB+TNhDO1o1ERJoGn8%20+ArPfsjTpEmlQ1iZyQl4MaJsaVCWHstfyoTajxP44g7IMAETJZiApkmgUwggAMr+gQAXJKKsYOFX%20vsBHrHlATyyMbaxjHwvZyEp2spIdHw+cNwIDkE4CzjiBESogKwo0QQLDQsA89kXZ1KqWsaCVgBAI%20cAwVEMAF/4BpIrLhi5xZIALYSJUHBGBFC5gOAdagihEAgAxs3EEICLhDARLhgpmOgBcFKEAFVLAA%20bGDDBKvtLmUNUIH/eUhAhyM9FN7Q1iAGVNEFLmDgos62M37ECitp8sdOmgYB6I3SR/zt746GlABf%20AOAOEgBZDJphggo54xgWUOoO/QvhCOtolF7rR1cTUIG+cQCi/+DFHZzhk2Y0YxIxvMEJxvKTnlDA%20vePNq32RJOEI/0PAwyRaAlxwjKCMoAVCiLGMGfATjGIjpRzg4T9kW4B+jAAAebjDg/m7KLb+g5YF%20vKAITqDdRGz4qqMUSQy0e4wIpIBUCcAGMkRYxFgZ4QZkOl012QHnOMt5znSG8w3ujOc861lYde5z%20n2nFvGDxMLNN+VQCRDCCNNWLTRTws6Mf7WgImGgEeXCBB/LgiyMy/4ADyOAFOyqwOKtJwAR1XQAA%20OCeEAoxBACJohoAJINwIVCURI+iHBO4wBmRIQAUqMEElWsBnSAsb0qriHITKC0WT+swFm9iEAGDU%20s590BatEg2g/ipQA/RLKqM4oADY2cQcTocMF2UAGD0SQiNleO1FZlVoCXFhFHgCWFxGANTtcII1N%20sIOiEHCBAADQBKKdYMBKbUZNldTu2iYilwKgwChbkI0FMKACiZCGXY3aJgZYAxkeyOVYDACAcv/D%20AguQxjE4PCkakUTKVLYQozgAgES0wAQFRsca8fg1XizcBRLAhgsgoIJT8+Rs8uUBSySV8KT77Gsi%208YW3hWDKFBi8w//aBYARlB61FYrAUQJgx8v+4WvFVqISzbjJP+6wiX4sPCjzaIYV+XHMOywAAZdu%20ewRgxg8TIHerZ6/E1bG+wR2Bsm7mjeJJfbEhAcyjkoGboAQ5KCgmhs7GCai85S+P+cznlUTNiMBx%20E7HGJWcDGzfwQAGycXExaX71rF89knJ6zEqYgBd5sABOVICMPBghsNIowE+CcoJNxLwAFZIAAJSJ%20gBOUvAWvjGPrn295X5+gBQXgBzoQAAACgP4EFW8G9KHvk52woxmVMIAJNoGVWgGgANS0QAFyvDPN%20z00o/GD5x0wJUQtUPLnY8IUdrW8mbSIBTWB9LRBAy0JRPdETLxL/I0jiJ0ADgREYKGfTFBUAbqY2%20FhBgAmNAABpnAs1AAADwgBJIgoX2D0uGDUbgDNv1DylwB8lXXQDgfxCAdsoHAOMFWNqVABLwXDBz%20aRaAXKRTIbJ1TACwCR6gMSSohJKCVMhWUuhlEv7gCyYgABGwYT1TATshQalyIdajIqnUOSzVbk3B%20AZXQKJtwTWCxfk+DAAuQY4AnNMcUAc1gBATgATvRDx6ADP6XAAIgABPlD51nAMeADEvBA9bAWxAw%20fXlQM1fFUyqQBxRwBwTAYS6EAGFRAC2AcS3VBARgAgtnAH9XRT/RBMjgZHcyNQlgf/lTbSfiAZtQ%20MnfACyhHEkuD/yTZk0pLETciJQEVsDIuB4eAZyIskT0nkAe84At5IG/EpUAg9g/NIEzB+DYV8D5B%20UUkxcjV5mEsL4Au9BlgF0HACkA0F0AxeYxUL4GoA4HAtsEAqIA3I0AzuJY1C4RRNyBOEl2yK4lNf%20ARVBV0UeIFQgA1gcgA3quBRbVAAWIAEwVwAjEBQKCDpGl4RL2GUzlV1H0XYOV11jwQN5cHJ8QkAU%20GYGJlwj2wg7okIzWwBLfxg5NgQ4qEAFYNnedAVxYIQKm2BlJIpL+YATI0ALaNQIA+Q/fhg7N82s7%206RQTZDgLUAEmcBX+UBVpsmTH0BQxACQzUTSdsYoC+RQSpH/IIP8Ar5SB6NAT8fMTIrBGKJcCneEP%20URIUCJACQTaP0hhDRlB7COQMBfaMlYAVgnVxczk0JSRFFSRB6NAEPHYDLnCDIiAEvEABzQAAx2AN%20sLJjLcAOI5CQ/1ABxkRTLaACSgGYM9FV15aVTnhe2DYTEDUPFuBcAMBLqWRhDrIJ7CiCGnIUiUBv%20MYcNOGFHO7VtJxQlIqECAnAMIqB3tYZgGcMALTCLUhSaRAEAvMADMvcPRkBDKjKF++Yi2rUJ1sA3%20MHMH2MCRBWACsPSbJ9QPzVCQCEBy8/CMJmBzItACoKlEg9JM7Hl1J2ACWOE8Z1ksO5SKW9mWJcED%20dGUN1NknLCH/AkHnKSLRBAJwBwHXDHdwDLM4JFCRM1GyM0/hYx3qoR/6FXxSW992FCPgAgbAD2HG%20DiqQDXmwUiAKoxKWmidiQhGEbRIkUQ4IoNVkEpxlM6n5VjEKoz7jRCR1miIVNDOVB3lwFFanNzsD%20ggW6CfGzCS5wAnV1B4nQKWmiMeozAs5wOnsmpmOKZxBQLDxAAe+DABzQDDBzPZJGAc5wKjfAAGhK%20pneKp3f6TEojdU0AAdZTDT2wOpsDqBIwV8eAAE7HCyJgDRxwAnXqAotqMOOVp3maJv/pCzlma6Tj%20TsFSqXjKDlwTLCC0Qj3AA6FVQurTklqEAMsjpgZDlkIhoA8G/1EmYEURcHLoUCT+wAHZNYd3ghTe%20RnILgKsmxBK0EprJumMm8Dw1VZ0bRpAfKATJukHOZxKxCUQsAlh5xSdMlyZJ83tBAWTUGoVIZ5qG%20NxLXRozYhwyVMEYJNX9KwgAwiQ7ABVg+CWrh6Vx/KEDN8zDXc1kBK7ADS7ACWzAQEE1sI17REzHA%204i+mkzrzsCwFS7EVa7EDGz0SYwTzcAMGoA0IsC+akwIGIF7aUAHVAGcxwAtCcD2tijgxMAKhmioS%20e7E1Cz2pwg4qmKaacwMj4LPAYrMXGyylQiwTgwBGIAHoAD0EQznOMz6lUrAVwAN0ujEjACGzdH9e%20xScjoGFgEf8iOCF3bSgA/MADESAElEaQm1BX+2M1ochmb0s6cSu3c0u3dWu3d4u3eWs6m4UAOlkm%20TTkWxSMCJLIsIhAxeYu4iZu3z8I8MQBnpwOrrlpNR1Q6TJEuPeAPMSAnzNOCEgBCoMNKDICW1tMP%203qO4p4u3xaarSFWkhads6bptvrYAKjCgcfQVQmBFm3AMzjCc1VUAnGYViSC6RCMC81ABPJQ9yau8%20y8u8yhsDZ5NfFdIThos+1JQAMZBXnNO828u93bu9ZyKuF1INLMAJLFAOLDC+IkC+LlENFBCoYPEm%20zzuuyHNOEeS993smLTkS6CAiZnMh9+u9XZFX2WM1SaMiMiP/MyfpNa90TNyrJJJSN1fbVmBhizQR%20WOTJC2LogOggdzFgaof2axawCc2QCFV4DHiIEwPoAbLCwmnkwi8MwzEswzNMwzVswyMLWi7MLxUQ%20KymgZilQMCIgPT1rw0VsxEU8D2nEWCRrABJFLBXwPLNTLJ6VAvOQxF+aAiPQBDxAKgjgDE0QA2M2%20AifgDFlcMJl1xGlcwyPLLwslSPj4hKhJj2MiAAWJjhfkcmuKDeXob/NgDQWAOLzgh85oUDvVbpIW%20Sc6JcrtIrm3yYncSAyxAASygvtUAAefbD5JcDePLE9ZYaFCSdLpKNDIjQBAErvPoiHmlQaAxq3ei%20MWOCQAuQ/whCoD7WyA8kLADwiIzr54fMhkCWORKCmsU9ILqiiybHjMzJrMzLzMzN7MzPzBRGVHmh%20qj78xA+CmlchBD/I+szd7M3drDTupDRG9CnX5D2DC1hl1T1A1sD+wEpWgopd0a2fkj2v8s33/Mze%20Y014fI9PFMeL0lU8UHXIsGFfGCdFsjzViYSDCxXIY2TXSAGXdY8iGUQEdCFH9Hq66EFLcbU7GSgW%20PSZp4hIukckucb7mW74ucScuuROd4UH2iZRf0SZvEnkxXXmCFyXrthQxIsBpCSQWZq4CaouvFFgA%20MAIsS1FmcsEtkAB9M3A1dWNjNK0WgqEp4BU6Sq5K5FWtiP8hunghMwpWWS0okqLIEoTRkdd8fFIm%20PrTR2iqi1KojTtEmrZuPevNKSLeCm8BL2ipF8XchndFMJrGDBRaSFOmAS9XQPUE/GOIVN+PRf9Im%20hJUA6Iu+44sOLpHS7Is8X52LoOQUIikS++YmlmQl0OvR8wcUM7HVSWlLUbVtcSOg8XSLQ5YIvlCW%20kRcDMHNQJ/BJY6FCPBCr8LwTL8Iz/CzWx43cyZ3VRUMTqN3PRoquHdQiACAAZOZLrC1HpJki0+sT%20RQIiK+bbyi3e403eodnKZOlOdbwA5MlAR4OLeYRXow2uOqSrp2qNviSk+a3f+83f/e3f/+3fJaFy%20z+26UNj/hAiQy5tQAErR0lhyVaId2kk5RFNGEv1wKuWN4Rmu4RgEGqgtoF3tJlVUb5CCx0UyvIlC%20yityIVABd4C1lhsO4zEu4y1Sec5N4HXdUyAtX0HnAk2QAveFxyLgAXdgV9eLDiZwBwE0fccwAiZC%20QkwBPSU041NO5codNP/QylHSExrVsQYAksE5Y3dQMyDEAyZwDCzFCy7QAvNAgS6yeLo4kY8t53NO%2053Vu53dOgqN5nnT9z0LBjyIAACWDol5xUSThflVkV+OWCN6GZSXMS6CCJRfe3d9H6ZVu6ZeO6Zmu%206ZvO6Z3u6eYK21a7RC3nExt9IoOSPWTtAeudFD8xfABQ/wFmVgAWym5weXTsVuW5ruvUutF8fqQN%20gg48aBVOqkPWBxqImAL2CgHCR10C4K4CYA0kcUzUKDMAbu3Xju3Zru3brrl3pIqifj/3V6PHpK0t%200iYQYIQjkF0+UQnH4AummAdUMYtGxg8ikMVAhk6fgs/7zu/97u//DvABL/ADz+/F87yefeN9/pvX%20B4uVEO8BJ6I7YwIEAOgLkAApgAxMbkUhmEso0g8VwwvSCcSgRfIlb/Inj/Ipr/Irz/It7/IvD/Mx%20L/MzT/M1//L8MjaC1Mo6YtAn8jUqMkpZ6g8L5w8VsEsWKABNll0kwhLf0wQW8DzjIytqTPVVb/VX%20j/VZr//1W8/1Vi8W2EM3/vzrUtQP6PAwvuCdN4B/QsEBI2xq7OltLbCH71eTZZUl1N4VC6z3e8/3%20fe/3fw/4gS/4g0/4hW/4h4/4ia/4hs8OxKw3AjpKOXki2HZVN1YJuHcMEkAU/pMIG3cMKdVObjJx%20a7Y8l4u6p4/6qa/6q8/6re/6r6/6r4KWcXSuyvYVjMzZZ+NwrThqVtQDJoANHrZLCcABi45WfRJB%20hrzry8/80tjKb8MDwNUCC1ZTz+UBvx8BBWAEtfuWcemAxt384S/+1frZYy326MrhrRgWWOEB/ncD%207ikSmhOATKRf5jr+94//6aojHg7uAOHv3z8eQkT8Ezj/UOFChv/4UfjHgNeNfyo4/LvRpAdGBAgU%20QuA3EIEBCP8SmGyYUuVKli1dvoQZU+ZMmjVt3oSZcCA/fx5GYOQAMeRJmkT9geSXoCQCCShjNGRQ%208h+EFClwXsWaVetWrl25+uvnM6S/hAUP6oSJTieDBD0YLEz67+BCEQhSnBzrVe9evn39/oXb8+eN%20oA5R0nw7UGpIlU3/bUTJj0FVwJUtX8YMOKlYhGUNIpRJlEEMCOwUU3groqQ/xiBFpijJOPNs2rVt%20M+TXr59shTx9AhV6eGY/gQkTSDhJod/jpyghQPy3/GhV1retX8fudTdawWM9nx3ujwM2a/8oHL8D%20wIjJ/xEtrKqN/m9kyeXeyd7Hn1//fv79/f8HMEABBySwQAMPRDDAgchSaDmHBAPOMKJqYuufGHwB%204BjHeGhBAA9OOuGOChjQbaB+mIouQRVXZLFFF1+EEcYF+eFpIM4YJOgztF6iwJoCFthECLkAQKaA%20AiCAIIJsrOmHqPPsOmk5B7OjskorY6Jxp8UgJCy4CWMiCoLlPEhEAGRcMMmFTRLBZkRsxvDlpCgh%20kKAp3q7EM88rcfznxu9Ai6kkAAqoABls/mEHGROayMMXDypBxgOESGRAhBRGiAGdTGMQoVNPPwU1%20VFFHJbVUU09FNVVVV2W1VVdfXTWGGM5DiCjfBitsqP+iFoLAhDwQECARCipI5A4jKlHBA2yy8cWk%205BAYYQQKeoC1WmuvxTZbbbfdllMGePNzILMAzekfARYQoQAAYkAggmaMQOaOSrCpxIWSSkpghCZ8%20utSAESoAOGCBBya4YIMPRjhhhRdmuGGHH4Y4YokfnkcC6HrjMlfhZCJuIAaaqQQdMzFyd4QFzk0k%20DxMSkA6BeSywIAUDJqa5ZptvxjlnnXUeIYUbpLJxBO/E1ZFjfnxBxsxkLcCmgGBNaHoMASJ6Cx0K%20LhUhAXQSQI0Br78GO2yxxya7bLPPRjtttddmu22334abbQhYRuvWCHWlybWQHnUhDxUqaIbIOxYI%20fIH/MbCBCKwEEpingn6iQjJyySenvHLLL8c8c80357xzzz8HPXTRPadboXBzBG+mG44RoAUemsHG%20AwEEsOCfFCy4Q0gkFZovvgRiBD544YcnvvgdccvYS5r8mRMjaxZoYXVsTjBhEw6sTqEFIaWjMYV5%20pqIxfPHHJ798889HP33112e/ffffhz9++dtfPIEagx4adXJhks4IiKwRkgSsohASLYQC6LhBCqZ0%20Jz010IHYSYjduiShooQkSwiRgGlO4IHn8GBKEngLZMRlFQY+0IQn3ItuaISj043reC15DgFP4hgx%20TWUgT5FN7+RUQhT20Ic4Cd/xJKixL4WGgAKRDfNu/zi3KS2EB1Z54Q+lOMWX8KeFRcOSYTaCjoHc%20gB+zuiFESmIakZAEJfajYhrV2JIgNmSIyquJgyQTkYjEgGUQEAjQ+AE0sjzxQcYDZCAFOcjhLQQ/%20V0wdTCjyD14cwxciaFJFXCABBDTjGNbgwUAocBQGJHCBawRlKFkSweRRcDgDUUpvUNkQCrTSIVwE%20Cz9kZhhR1rKW3ekM0RIZE18sIBEL8EA/0HGHPCRCe4OKwB24uCD5mHE5vyNkNKU5TWr2hyVvNOVM%20BCLMqTThDr7AozAxxAMI+EIFzXCMQ3ZDmSja0p0/ROT+XpKAOxTAZAB4SB6awQsC+IIdFIiAAGKQ%20GP+KYE1rXItbQhW6UIY21KEPhajXmFi3UuJtJl8aQQESgYyLfGwTmxBAEwZViTtkEiE88eM7VYpC%20PplOaLnUXztVcgMBFIABZTJPJUwwgmw4IwEAwIYFphSDCjTBAgaQgAFSUIGqNNWpT4VqVKU6VapW%201apXxWpWtbpVrnbVq1qdmQEQQIG8POg3E7QoTZZDgWZEQAI/OlGxPIAMFZyAHfRiQHH6EQOkzq2V%20fwVsYAU7WMIW1rCHRWxiFbtYxjbWsY+FLGMrNKN4ylQlJkAGADbhAiOMgE0uKMB4stEMj0wFAgwY%20ljMGOit2cMu1r4VtbGU7207JilbxMSuu4CiTxUz/pRkE6AcAEiGfzabAb/8wQQGasEwIWKoJJwDY%20V6U7XepW17rXxW52JXADdEypsjJ5SwrqeYcRQM0DBdiEEY61AABYoAcsY4xdQvLMldb3gcyTjRwr%20ujGYJAaP/0AaaAEggfMK4A6b8EULKiGA7/EkAQyQQGc7MmEKV9jCF8ZwhjW8YQ532MMfBnGIRTxi%20Eof4BrP6nUvz58KZhCQGFsgkB3zBD3YYgTRF9YUZFXMiBfrOvj/OE2t0QsqzEvEmBUzBMQrQJhV8%20ExuJ2GkEKtGC8gANHRkEcpYbCJbvygQdbyEKAhgAGXakc5VH+YcE5nGvo4BFN2+Gc5zlPGc619nO%20/3fGc571vGc+99nPfwa0nllzQUBhM60xaVKN/CEBCzRBkv8wggUQAIERWMMD8xDhP9CRAgQUUcuf%20ns39FtJlMNVnbgpJ5SvZ0STlKCSpcuIvqGVNm0HvZL+efsm3mLkQdhlwIBt5S402LQE8zs/Yx0Z2%20spW9bGYzOyW4xBGLYwKf5SDJQQ9mRw98IYBmGIBXCbBLfWg5a3LPhk+GjrVL9mgi6fyOjAcpyQ3I%20GOxrb7fc984Ma8Ly0mhjEUxy8XUBjbAAbCCjGXOp4atR0kR8N5wr9nshunHNxm1u0oYD+TIzE0JW%203E4lBcTmocNFHsfdiJrUN0mICPxhggWM4FzKef8caho36R7cADVai0EP0HHaL9/gZ20ZKDqshpqk%20qEYE7+0HBUSwNXQs/bQimNVpW8mApj9YTBDogVtE0Eqno+OfnTog2Ckwt0otPQExeNwNejB1Csgq%20KkqnOtfe29xKKb219oNA07dOdaUPtLneigo7bsCWTj2nUidGUtbavvVWVv3sNkctalGjd6/n/Z+n%20jbwIED8adjwYAT2I3Nolj9pZIeAhZB3raAb6YNRcPnKagjppTLSlIu9WLxBJgDVqtxs0TqbTUby2%20a9h46o43ZND34WGKV8jGazN8IWh0iKiHzLKdYEyFqlRJJKMTcnWaKMXP3g0qnd8gVApfJYxZXPX/%20nz2j8K8kKbzfG7//ZNl5EqUfLmi5kQaqyXnwghcjsAumSgEjcIYKmIeZGQEjgK4niham+pcRcIZ/%20qQBnWMB5iMAKMIDG+RcNTMARmIcPrAqAScAT6Bl92UCAMYCwqoATTEARhMAIhEAElJkI9B4XjJZ5%20WCoHLEAeyMCZcQYC9B6lssACvJR/QUCmwkAepMEV/LgBdIYUiECkgkJnwMEfrJiZmcCekYAKOAEj%20UCp/+ZelIkAcBEMDXKoIPMAETIEnokAjwMEIa8EbMECmMgAF9ECm+kEDjJaqkAAeqAByCozay6a9%20oAAA8CUTQKXfEQGkmrjDAItdMz4TMY7zg4v2/2uIKdENmQILsqC+llAcxriPnZiQ9kOi0mmJJiGL%20jlmJfvivBzm/9LM1lTAKBwG+nWCM8ROOWOKfkzi5m1imfxCCMtmEFjCMkhABA0S7pmu63lCKuTGC%20G9Aa1eAahRi00bAxfoC6k/iayKGAGxAg7gKb2xq7qTAAHiCN05obsusaEeCBEYgcOdKa5lKOGGic%20pZMo4nicvIsKBGCqBNg6srAauRs7vkoBO+qUkKC6h9iaBGCHjzugcdS0qkENCOBHctKaYNu5qXg7%20HnAGHlgcqUCtoWBFdpgZ0+OaZ1pItmCAkbAYsFALq3kcC5mOCpi0qHAIatGkSROBaLmY3LqbdP/b%20CgpogghQAeFqLYXYtE5biVlEIkrcxFVKCd7IDVxcIOh7RQfjvgVZHMbIjbFgxQZhuOsbNzf6naTg%20PqUgpVecEFFjCKYcy4WQo1uUxYTQRZX4MkzsE/nTJXmyCbKbChfAhjtwBi3qImiMPpNICnScm+Ow%20OIUYu/pRDG9cjY9oCIZszIWAjHwUAQnoAfqzlJtjDdYzEVTqCPh4vrZEANNAEroUCDTiB59TCjmy%20SV5prSzhGqkAGk1DgOZQjFY0IAQ4C6mYxt7oJDFDCNyMkjARAf9Cv9OakprDTVHcsYFgB+O0lVvz%20C18gAAnoGxq6mufigT7kgfEkzyfqw5lZw/L/VM/xXKpyFKD1HE8BMsM+TM/1lBkchE/1DKvwXEPx%20XE8MrM/wfKKqYE/0FM86+Tj/9J4R8M/ypM/zTML87M+lmof8HFD+xMAGLc+P40GmslDz9J43DFD1%20lBmlYs/87EPjVDGYkjaccI2M8wcegIikcw6l+50Cgq+29BpoYsXFaKKJRJLFYQvWi5Ktk5O5yQ2G%20qI68MokvQxK2OK0o6cnqUCfUcIjbMiQVms3JYoh7kYqqi0pAeTAu7dLZfA7mer68E06bfMSPwLw7%20Ij7hOI+kaCUxMQq4iA6e2xqPCZOTSEUmCkTdGkTt8IUIEIJz4QHWQC0e6MIRtU8I/EMNJc8+/8xC%20Ry1Pl2nUjrDU8WxBSnqi/HSGAvTUTWVUKgzPOqFPAn0iA1hAVP3UU00qCrTQNWSKCexI+KTVLews%20UqWkSyFBBPjQS9lBSY1PHowW94RPSjKAUEWq94TPkaBJUOzFmli3iMjN3WGZLxm/JtkduOxS11DF%206GA4WMStHXkIPHqwtUyJx2mNyPm+EtrGuOMV2ZjIrcTThaiUWZEjlcgUGVoJG9WkX8SN5hBOJVUI%20yGBSbZ2Se1GKnmwQ+4vS0WTFsrI1QTw0r0AA4SLKcaPIGEjS9fPHgdLE0cgaviQgBDDMt6RGdkmM%20Nm0It9NKHtquxKhEr6RIgTUJPoGAXovK7/9TPVlESrXDxYTYq7FaidaEOiZlCawDPRiSt4JNCYrk%20gRuQo2mtiVQLu4x0Fq6clJDQFB/1GJ5wEEt5xobIzceYQMigvhX6WE2TgLkwJCrtB0adh8TY0SLq%20hwgboBQh1zKSgJ9oUpaRDoVYQ2EiDlhsIggQK4Roku+bEKNNsxGAN9lbiGUUF22UvUf0h9K6ASgx%20iaZ1zJJAhxGASUgUice1o94okZ2Vk7/9RYaTuL44DwmQsYFADjnpVx6yINRqRFQjOpX13e5Sv5RQ%20OgtqRHT0vigyO+PDkaR4r1ikRhOpFJVgHgdB3mczjt/FXsVQDfdzCN4dpegQusGVxS/rXVT/gkj8%20YVF/u4n6+D7FgF80o0wLAYBmGCDtM4nEEKlEcIF5wErD8IfEsIDZ8YWNyA0+SYiVFAAhOIlu1Yl8%20UTIXOAGpfMoEMIIWSARf8Ii+FZN+cAYMhp4KGE3QGMcmEABsOIa5mCNUAjMOUBdeyL5/OAEAMAEK%20yChsEILYED9/4AUAqDITuIMTUL/kMIEWYKrBuQNHA5Tl+GAVEIHzwgZnKK3eQAfc4YCQaAJskJbj%20JKBjuIO3bQF1cQYuqtbEiN2+OIlleoq1wEWoTIrioN5aQb84nhFCq0wHmU3qJQ7maUS6TLTo1coJ%206cSd6BiXrUwelSlUhF7jg0VDbktRhON1/2W3ETZbWqQ/jMnLFWNfwDBj2xGAMUAGTZuQgo0BDqjf%20PECTxPgdWLwBFTiXBQBOTUIlLkqNTz6GVZKK1vyH31IuWLoTMSqACMCGZgCJ1VgmovhbE5AGFzAp%20orAfopAXbIiAChBdUFSICgioFkAG3kwx1jOcO2AAIwGACDBObBwIpFnmf2iBbCAAEf6dxIEAIcgG%20aWC0U26B5mAMCTAcDXHlCDiSyDCPE6iEMSgPCtgEabgIWvmWBFABAuipHsgDZLAGpU0lM8bO7Jhe%20OmIJiIAOMnIjWR7ehiAjj0XMGjUMGjmtJA2J6CRMjmOQZXqzUc7ZagOLnuRNZwHpRdI0jP9DtbfI%20zTwyDikBuLnwh19khzm6l0S8uIvprQrJDSdRiININeHAy8pVCatFY4SACARQkwKg0qnAC6X9hzsw%20OJaW489dMoTYU3xUiBhgOXfZI7j9WH9QgUpQFyGeEfDpokrIAwFYl51WxcmMgTtIBJPqjPziBxeI%20ACD5nkqci3kogPQggBSAJWf+hxE4hik7gQjggM3mBZDkxTuIAF+IgWbYKI/YJk0TAWuQZhjuiXrZ%20YOngAF9pgbwbgQVTDPl15TwwAg7ZqPLYaTBTgQJABmix66DSpL494+uADg84gTZeSSPggKA4W14Z%20AQ5Ap81dibc4gTjZo6hQoo/wgGPwAOT/yG1H/AcDsAYO8LbvTSUH6YETcAEXaAH/tSCA0+gQyTHv%20892BMABfsIa9jQ+yCAkKEAJvw2whoIi84xVMGogRaJY66jgLqAB+qAAVMAEaQrXj0OB4/hu4NSQF%20Tw0OcJydOGYLEOIeUIFjgOGr1suYwgyiWCYeeLLS4g3U6iIVwAYVGM3EaRAIuAEDEIAIANz6CL+S%20MIJNQAYCEAAFKtiSQA0DYG8CcAFYUsW3iAEJiIBEqGshxsuDeIuhRBOcTqWzGwjhaoFNaAIVLpGD%20BQDhmmwVXqWtU5cR2AQTEII8EIKFjY4UcBelMIEIcIYIig8GsAZkgGEhAAAXGCDXKI54/5kMdjiX%20xrYhgRiBCPAADkCGTSAAAPBp0IA6IUCGE0CAJkAAQ4EIyPjF5b4NsJCAY8iGW2aJE0gE9BIAEG+I%20O3gyANgIXIQ6TjdvH0sIk4kARleNZWKQkFgdZOBfwwZoC2mCNK8EI7hT0NgjIXCaBUBEPCpFqUCA%20HxnGg5iS9HOGAqgESTsXbEBErVGIHiaAz36UBaCIat0jFyCpEainX/oJtsgjZwASETAC4t4EEY4k%20geCBO8gGFeCivhnziBCICkD4Y+gHAagEADgBXF/RftslwIDaf2iapmD309xlaVCZh3gKOZkQCYAd%20M/kQQ4oOiHAGALgDaSiA9q6VyEAAXv9ID7ryU52A6XNBL7ymTNMQiL4RYn8UDVkWgXMBgEo4gad4%20s9b4MhdIBJDqAVqslcQguODahCdrCqXF8jxoAYFoBmRoggReCA6IACNogmzIBhf4iRW+oWK/gTuo%20qUSg9gVBsxEgABJPD2kQAJB3zIrg7REAgDQHANzzGP2yWKDMDIiwAMNxgUasuRN4qwXIY4awFGuY%20FxHw6MoEmUowgJ4sOU3zgGxYgGP4/O0DDSOIAGQ4Brx+TPh9JXgRgNLic5j/qHh5DOmNal7YhGPg%20AN7W6Og4CV/JBl4QgkrggHNJXToCGWlQ8Jkv7pZdnHKXGgYYgdfJBkmJjdNqgTEggB7/eBkAyIPa%20yePIT+eBo3JAFoJNGAMeR4Y8AAAlTgms5ouOeeN+wG6A4PcPQoJ/CQr+M0hBSIE7d3ghRPivX8Ie%20Qu60EPJPBIR//jz+Y5AQHQMJLnwVhEDQYMeQRu4U8BUj4Ud/H/khdNYCAC+KB0UmlCjExceERhm0%20pNBjXgsB1nrQDOqPHwMK/ni1OJai6D9+Aj+qdKGRl0MPCfv1E9iPAQ8TJ/hB4GXihlEI/D7GMGJC%20QgUBAu5YEMFVxA0KJjwwsAaAp8Co/3oguFPhHzsELU58ZJCgJYQmLdBJAIDNhQSam4129edhxL8b%20HCh0NYh6Nu3atm/jli1ByIJmdG9//3SxyQJQ2/wQYMNGIcHM2iY2LUh0QsTaghL/eba24HMMf1AP%20GvUgrQCAROxiCLxrsDEEDpsmy46NzuiJRAIKtHicUODKjX6RScPLQBSd9c8IFmzSRDOV8NMCMhKs%20BAEDKTSDjAUUnHDHApolBMFHCBixgACPWYCfSLBNNKEJicyTADocVKICah85w5sKPBSwADLHoFPU%20QRJ4sIkLMTTjCzabzGPbal8VxYMQIoCUm5RTztgYS/381hiUSCXEADrzVcBOUANx1eENKXQp0HwF%20iQSBTyGNSWACXHaJkF2zMcBlcQmo+ZF1/fgjUj+cfYTWfC3FgCZ7++GJQHP7JUDgRP8bHYVAhx6h%202M98UQHFQFEdicRhDCIYsClNplpKmUQHWRlSWjSVOeikVCUkQnodfRnfXau19lps11EZrLBd/oPA%20JneYWpsIAFSS33K2xXDMCcdkI2OZqAGwSQTSmMDPfH4axY8RHDSBjAAMWAmXUbxE4IIAecAXUqci%20GRFBAXWNiSIFx2xyTAQAACVhXRK6AAAym7DmkaT9JNBDHh6cEMExBWDDpqQVEOBLQv6W1g+KlGJz%20L2+JCDjQRAIlwAEBRpikAjIuQJniRAlE8JCI0iwwJ7j/oLPJXEI0IUCCSo7AZEJOQnntsEsjpHSg%20Uk1EQavFsVPQWkWVedpIXfHpDwX/J54MlEQqKYSil4yCF9tyoI4JXp5awhboV10l1WFHEHwsG1WF%20ouvVVOx1VFDe7HTkFUgU5a1QY/ygSNCcpqnUGJ3EohXbQMd9DJebDEi6kpr99ABlPyKgKPh+qrHm%20GmwoL906lSJVUIALk9ZGAQ+V5CGACqnWlsAxifQ736Oz8dDEHchwYPKla0FQgbnYaDSRYAYVhUCF%20BRyD+Lf7dTRCb0EZ7nGX/aTQwgIFmBCzSml750IBm/g6puQnbHJCDxpio7FHCFFgxCZm/aMFBYCP%20SPxREH78ZR4CkAY29lKo7iSkGQVAwAlElIjA7M9OiUifEITwr4HYxU8piIAQbmCw/wWYQGkJWZJH%20mvSkKLluaexJS0qiAoGZ/AYoOLFOY/zREhDy42ox6wG4RMI/5QEFNgU0ClcQ4q2EwGZTTexKceIz%20OdQAxYAIgYpR5LSfVtFmKh+Zz8c2MxWDLFE2kTLIGkFiNV11kUCDYh3PrHQdJ35KjnMqSFFgIyku%20fkpXqOvV6uITw0PSpnAIQICkagMkIwhhHv5IFmr40YMmeIAuP6SN4BDQkvSI7R8UGIEQDHAWIxrk%20VSFpggX+EYNGUgBFAnEGOvwoyq7QER0GiGRdGomQ3ZTKcgeM2T94cIMYJMAXk4HApvjzjxQQMQEU%20SAG6ZAObgszDKjywxgmEwMiozP+pMN2pgDXERKyBuKgCM/nIPERQnCRKgC4xgBgxacNCmxzthSpE%20JD/76U/cqGd/5/wNzzbVpo3sKSHoEUhzxGcy2MwkAQY0ihNDFRK2wYkydQKPh/D1z4/6c1ep8xUd%20QWrSk5qUIlARWI82haKi3OAj5jzKot6YUes8tKEmgwBUEpoZ1HhxIIlDKVFzc08XJq2oSl0qcBoD%20ulF6UgQxY45CnfmbBJjzBqUxilWMEgOL/hBQxZIQAsTkuK8SS3AHpI1PYrBJpsK1koNU3a/iate7%20osZSd0FIcQgiIYbl9ZZdpQhnyEQXqU2Ei+DLaEIQENA17pFPxdoZDPGq1KPmM6n/lt2sP8UaEgkU%20ABkR2FFCSiMCCQxPArpTSkJMOLsEpIps8UlVPxBgtX7wIn8eaMJRONCMjkAUivJCDxMlMlTOnlSk%20hKwrcpv70YNItJGi5JBRNsUOrnRETmkzXRfVhalQwulTdAFWuDr0FfI615+YLaY+0+veKV2LAQhQ%20QQTyAAADVOAYLUAAuwpghGYcwxcnaJZRVMAsAMTAtyVzzTFMYA0TcCABEuCACZzxD180Q0fHUIEI%20LACAOxigGclTTCvl0oLkQUAFKmhCD3zRYPiA8b0hnStJDSnjGwfLTRtZnV+ZOB90FQQddyMI524g%20ucCNFyEEwpvJ/PGozQRsa3yE/xJ14CJHHP9zvUirLJZvLJG7qKsFm2CHBBaADb+YgIHOCG0efJEH%20oljmX5UAQAsisIkE8UMIeQBeBLCBQgCMNibIAMACFlAeFZgZAM04swrskwgjVQIbEeBAnTdxwQXk%20ARu8yFOX/6lcupa006JGDQRcUGgR8aByramACCRigmPAkBcASJIUZwOXWFHkBi1ohhCM0IPfjKAZ%20RhgIMV8qyqadJcajDpaW27vs967KSsfIAwR8QYBgvzkR1vCAmaWxoNmlABvIQIChE2EvZJzgH7wg%20gKz9uwCYVKIAiXABMlTAgQi0INLISMENEL2JAgjAWH4RQAU2ka14azu0L/PUs/8P+ekao7fhOBZC%20IsYQARXc4AQuMAIDBLAAI6SAAypQbQTQ9A9nWKMAK7tBB795gmZYwwIWsIZjX87b3TioBS44AQWa%20YIIU8EIFkOEAB0SCYV+YMgUrhoD1mjEPJktcWM3WbNSRi7VGMisBKUDGTrChAooV4F/vrsTs2OGg%20O0RAAIQ+M6stEIEmYCMR3juGuAEQ4ESEDBkaWhF5Fk3nBUyM7gUYQSLuUB6AV8AE2CAANqCyz6rf%205uGFjDjknVsQHmyiGb5DRgEKwAFk5MECx6gEAVxwh0RApQnyXgD8wl4JD3gLG/Fm/I4ojgzptCAR%20ACBAC7CBEXF3PeWJADiM/Iz/DW4jA4V1rkT6Kk+lqXPZ+Xi14z88wAHWGMH3pgTwUBzijGNY2B8S%20aIbaT1BqAQDQAMfgAQeeZAIjxODDRuiHBxzSjBO0gAeyloyIGbBoGXXQvhjBDRieEbCD6d1BulWT%209EmJ5DEXA75X8xBAM0iAufyDuaidhwkA45VHaTRDNqSAC+Ad4xEAAPjDDSSCdFSCL4igAGRD2PHL%20HdxAs1DMsZwc2ombBfhCs+SBMxiMC7wgvvHLnMULBNYG9D2eESrhEuKYA4YaE3IWL5AdBAiNL2Qe%20ADTEv6RdtsyHBzSLAFTCMZiZtoWEiDRB6E3MHUSaAJyAAMwbMiSHX6CQfg3a/wZRjAtEQAXcQebB%20YSJ4gC9sYASUDBSGR9G0UGZFHyEq4iJOH41NHiNalvgdQ4mtSH7wggCYgENgIqUVBDv4gu65wAgc%20A515EgOYwO60wIG0QAwA4h2cnGgAgAU0gwpkCPS4gAv025lJwAhchjU0Aw+YHgekgAcUTAsQlCIi%20ISQq4zIulRPaGDMqFWz0gDmhlUc0R9UkhJi8ialAnUdYClI0hu1QBFJMVfXURkdciye50qhUETIa%20Ij6xF9VB4zzSYww5I+XVoz99Eh8NxG9c02xgl8C8FQVQRD11iQ5tykoAha0olKWkhKXICp4wYjLm%20Y0VaZG7c40WaVHaNxKBUEf8fgQ6URAQ7yIkdMUxHQElDpQTZtMqd0AQFhJUvXQ5PSRcUUqRG4qRG%20ZmRO+lOblA5F9cBb1YkPjYlPnlOZLNEPucgCIk4CJI1IBBFitSMz3iRPWuU87uRVOtzOfARi1cqJ%20gAozCVc2LtnZ3BI62EmqUAdDdsVQyVZEmIzWBMVxKWFVauVdLmJW4mXrNAfnvBFHWBNIZNddiFHT%20fAxhycZbrdVp3NFRhMRNCFSHTCUhYpYledNeYqYiwgYEeICFsUMmXcozZuZoQp4vmBwfyZcK8IIR%208MIJuOZrwmZsyuZs0mZt2uZt4mZu6uZu8mZv+uZvAmdwCudwwqYRWIARnMD/9Q1EM1iAM5xAExiB%20cxLndFJndVrndWJndmqndaqAM6AjS2BIdDbBdpJneZrneaJnelqnEYyna0Jke7qmESCnetJnfdrn%20feIndfKO8qxPnvjnfwJogArogBJogRrogSJogirogjJogzrog0JohEpogC5HVVCEuuANUkzohnJo%20h3roh4JoiIpoiErEOGINaaKo9CHbeqRoi0LgrbxRSuAEWtBojdrojeJojurojvJoj/rojwJpkArp%20kBJpkRrpkSLpjVKRV1yolVROkkJplErplFJplVrplU4pQfTQ1iibi3pplwWRZ33pmDofUEQU7ZBp%20mrpXf4TmWiyZmsKpc/lD/1p0aZza6Z3iaZ7q6Z7yaZ/66Z8CaqAK6qASaqEa6qEiaqIq6qIyaqM6%206qNCaqRK6qRSaqVa6qXqqQ24AxeogRTIwQEcQAnYwx/4QyS8gDqwAKaOqTQVBTr8wh1QAwuwQA/Y%20gC8YgQ3YAAO8g00wg6oK6jfYgA+oAQvYwAF4gQ/YAxu+wAvIqq+26FtJAC9IQx6sAzzslQXshA34%20gw08QDokobPaKa6qgRrAw6cegA/4gNoNALP+Abii6Ik+RgXoQQRQwx9IFAPYAD74obb6g7e6q5/a%20wDdwQQb8gTsYqxr8AS0UQC8cgBQ0wL+iKAO0mlEcAzLIAwtYCgLMgQ3UA/8yGIMYpQPE8qkNvEM5%205AIBZMMZeMEfkKsAaIIWxKrIYmZaqJpBtMAtaEg2mIC22oAxEIAH+MMz+IMbyGymTkIa6IE1uAAd%20rEEG+MAf1APT/kGqFu1o4gQE/MIYFIAuAEA2+IINiIOxAIANeOu3Vq2L4ioXlAAPlAIBlMLAsoAQ%200IE5sEC7ni1eBlFjZMs6sIABRIAJ8IANyEHc2QQ83i2cuoMNqG0eZIM0rEE1KEHczm05UO3h5qSO%20nUWk3IEsXKwIVMIdgK0NYEMrEJHhWi6ZvoMN5MMigMMpZEPT+sActMAZrMHUni5m1hk4xC0B4IM/%206IM46J079KvZ3i5maqr/IYyB3RFAFVhABjSAy0YCC4BD8eLlLzSLCvjFtvqDEVSCBezqdVHvmNrA%20HKiBHqQgHZxBPmRA7HQDs8JD+GqlOvxCBOBbd+iDDQiQHAgvNxAv/F5lwHLqH7zDsnJBGlBCH6xr%20s/ovT8Zq3XoEOtiAC7QCL9jAP3grNyxwi5IsF3ABC7wDqPpAEgiAERzAC9huBuNkP1ADPLDAfOQr%20AKSQtrqBP2AwCpNm6nJwuYJqCejCxS6rA9vwRUpBA7eQL+ACsPqDHDwA/wbxaIqrDxDrAaCCGjhv%20qTJr5TZxPcoqC2iDSvBsribx0PZvFufjO2xqBsCDwR5ABnSwO7zAAbAwMBnnYz9Ige3OaeL6g/By%20a7/KcR/78R8DciAL8iATciEb8iEjciIr8iIzciM7sm0EBAA7" height="198" width="589" overflow="visible"> </image>
            </svg>
          </div>
        </div>
        <div class="fig"><span class="labelfig">FIGURA 5.&nbsp; </span><span class="textfig">Profundidad de trabajo real del 
          agregado. a) Tractor YTO X 1204 y la grada pesada de 52 discos. b) 
          Tractor YTO X 1204 y la grada mediana de 40 discos.</span></div>
        <p>Al comparar ambos resultados de profundidad de trabajo con referidos por <span class="tooltip"><a href="#B24">Silveira (1982)</a><span class="tooltip-content">SILVEIRA, R. J. A.: "Teoría y Cálculo de Máquinas Agrícolas", <i>Máquinas de laboreo del suelo, pp 420</i>, La Habana: Pueblo y Educación, 1982.</span></span> para las gradas de discos y de otros tipos, se puede afirmar que los 
          resultados obtenido son satisfactorios, debido a que este autor refiere 
          profundidades entre 0,06 y 0,25 m. Sin embargo, según el instructivo de 
          este apero de la branza la profundidad de trabajo debe estar entre 0,15 y
          0,20 m. Obteniéndose magnitudes cercanas a límite inferior. A pesar de 
          ello, estos resultados se pueden considerar de aceptables, debido a que 
          el arroz germina a 0,05 m de profundidad. Por otro lado, los valores 
          obtenidos para la grada mediana (0,11 a 0,14 m) tienen un comportamiento
          inferior a 0,22 m, obtenido por <span class="tooltip"><a href="#B4">Fajardo y Hernández (2013)</a><span class="tooltip-content">FAJARDO, A. &amp; HERNÁNDEZ, A.: <i>Evaluación
          tecnológica- explotativo de la grada de disco Baldan modificada y el 
          tractor MTZ-80 para la labor de roturación en el cultivo del fríjol 
          (Phaseolus vulgaris L ). Trabajo de Diploma en opción al título de 
          Ingeniero Agrícola</i>, 82pp., Ingeniería Agrícola, Universidad de Granama, Peralejo. Granma, 2013.</span></span>.</p>
      </article>
      <article class="section"><a id="id0x204bc80"><!-- named anchor --></a>
        <h4>Coeficiente de aprovechamiento del tiempo de turno</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <p>En la <span class="tooltip"><a href="#t7">Tabla 3</a></span> se observan los valores obtenidos del coeficiente de aprovechamiento 
          del tiempo de turno (𝜏) para los tres conjuntos evaluados. Los valores 
          resultantes de las observaciones son de 0,78; 0,73 y 0,77. Estas 
          magnitudes se catalogan de bajas al compáralas con el 0,89 declarado por <span class="tooltip"><a href="#B12">Jróbostov (1977)</a><span class="tooltip-content">JRÓBOSTOV, S. N.: <i>Explotación del parque de tractores y máquinas, Ed.</i> Mir, Moscú, 1977.</span></span> y del 0,91 obtenido por <span class="tooltip"><a href="#B6">García y Ramos (2011)</a><span class="tooltip-content">GARCÍA, E. &amp; RAMOS, J. L.: <i>Evaluación
          de los indices tecnologicos explotativos de varios agregados en la 
          preparación de suelo. Trabajo de Diploma en opción al título de 
          Ingeniero Agrícola.</i>, 80pp., Ingeniería Agrícola, Universidad de Granma, Peralejo. Granma, 2011.</span></span>. Sin embargo, es digno resaltar que se pueden catalogar de aceptables teniendo el rango referido por <span class="tooltip"><a href="#B10">González (1993)</a><span class="tooltip-content">GONZÁLEZ, R. V.: <i>Explotación del Parque de Maquinarias, Ed.</i> Felix Varela, La Habana, 1993.</span></span>, que es de 0,70 a 0,95 y del 0,70 a 0,95.</p>
        <div class="table" id="t7"><span class="labelfig">TABLA 3.&nbsp; </span><span class="textfig">Coeficientes de aprovechamiento del tiempo de turno</span></div>
        <div class="contenedor">
          <div class="outer-centrado">
            <div style="max-width: 1160px;" class="inner-centrado">
              <table>
                <colgroup>
                <col span="6">
                </colgroup>
                <thead>
                  <tr>
                    <th colspan="6" align="center">Tractor YTO X 1204 </th>
                  </tr>
                  <tr>
                    <th colspan="2" align="center">Alisador </th>
                    <th colspan="2" align="center">Grada Pesada Baldan de 52 discos </th>
                    <th colspan="2" align="center">Grada Mediana Baldan de 40 discos </th>
                  </tr>
                </thead>
                <tbody>
                  <tr>
                    <td align="center">Coeficiente de Aprovechamiento del tiempo de Turno (τ)</td>
                    <td align="center">Tiempo de trabajo neto del Conjunto (Tc)</td>
                    <td align="center">Coeficiente de Aprovechamiento del tiempo de Turno (τ)</td>
                    <td align="center">Tiempo de trabajo neto del Conjunto (Tc)</td>
                    <td align="center">Coeficiente de Aprovechamiento del tiempo de Turno (τ)</td>
                    <td align="center">Tiempo de trabajo neto del Conjunto (Tc)</td>
                  </tr>
                  <tr>
                    <td align="center">0,78</td>
                    <td align="center">6,24 h</td>
                    <td align="center">0,73</td>
                    <td align="center">5,84 h</td>
                    <td align="center">0,77</td>
                    <td align="center">6,10 h</td>
                  </tr>
                  <tr>
                    <td colspan="6" align="center">Para un tiempo de turno de 8 horas</td>
                  </tr>
                </tbody>
              </table>
            </div>
          </div>
        </div>
        <div class="clear"></div>
      </article>
      <article class="section"><a id="id0x20b5a00"><!-- named anchor --></a>
        <h4>Productividad</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <p>En la <span class="tooltip"><a href="#t8">Tabla 4</a></span> se muestran los valores de productividad que fueron determinadas, la real (W<sub><i>r</i></sub>) y la posible o teórica (W<sub><i>t</i></sub>)
          del conjunto. Para los tres casos objetos de estudio las magnitudes 
          obtenidas son bajas, siendo inferiores a los valores posibles que pueden
          alcanzar estos tres conjuntos. Las causas de que esta magnitud este por
          debajo de las posibilidades del agregado son el bajo aprovechamiento de
          los coeficientes de ancho de trabajo, velocidad y tiempo de turno.</p>
        <div class="table" id="t8"><span class="labelfig">TABLA 4.&nbsp; </span><span class="textfig">Productividad de los tres conjuntos evaluados</span></div>
        <div class="contenedor">
          <div class="outer-centrado">
            <div style="max-width: 1160px;" class="inner-centrado">
              <table>
                <colgroup>
                <col span="6">
                </colgroup>
                <thead>
                  <tr>
                    <th colspan="6" align="center">Tractor YTO X 1204 </th>
                  </tr>
                  <tr>
                    <th colspan="2" align="center">Alisador </th>
                    <th colspan="3" align="center">Grada Pesada Baldan de 52 discos </th>
                    <th colspan="2" align="center">Grada Mediana Baldan de 40 discos </th>
                  </tr>
                </thead>
                <tbody>
                  <tr>
                    <td align="center">Productividad real (W<sub><i>t</i></sub>) </td>
                    <td align="center">Productividad teórica (W<sub><i>t</i></sub>)</td>
                    <td align="center">Productividad real (W<sub><i>r</i></sub>)</td>
                    <td align="center">Productividad teórica (W<sub><i>r</i></sub>) </td>
                    <td align="center">Productividad real (W<sub><i>r</i></sub>) </td>
                    <td align="center">Productividad teórica (W<sub><i>t</i></sub>) </td>
                  </tr>
                  <tr>
                    <td align="center">17,71 ha·turno<sup>-1</sup></td>
                    <td align="center">20,47 ha·turno<sup>-1</sup></td>
                    <td align="center">29,01 ha·turno<sup>-1</sup></td>
                    <td align="center">43,71 ha·turno<sup>-11</sup></td>
                    <td align="center">14,65 ha·turno<sup>-1</sup></td>
                    <td align="center">27,85 ha·turno<sup>-1</sup></td>
                  </tr>
                  <tr>
                    <td colspan="6" align="center">Para un tiempo de turno de 8 horas ha turno<sup>-1</sup></td>
                  </tr>
                </tbody>
              </table>
            </div>
          </div>
        </div>
        <div class="clear"></div>
      </article>
    </article>
    <article class="section"><a id="id0x4db8a80"><!-- named anchor --></a>
      <h3>CONCLUSIONES</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <div class="list"><a id="id0x4db8d00"><!-- named anchor --></a>
        <ul>
          <li>
            <p>Los
              valores de los indicadores de eficiencia de los tres conjuntos 
              evaluados se encuentran por debajo de las posibilidades técnicas de 
              estos aperos de labranza. Salvo el coeficiente de aprovechamiento del 
              ancho de trabajo (𝜀𝛽) para el nivelador del suelo, el coeficiente de 
              aprovechamiento de la velocidad de trabajo (𝜀𝑉) de la grada pesada de 
              52 discos y el coeficiente de aprovechamiento del tiempo de turno (𝜏) 
              de los tres agregados.</p>
          </li>
          <li>
            <p>Los valores de profundidad de 
              trabajo obtenidos para las gradas analizadas son bajos al compararlos 
              con lo establecido en el instructivo técnico del cultivo del arroz, con 
              magnitudes de 0,12 y 0,14 m.</p>
          </li>
          <li>
            <p>Las magnitudes de 
              productividad real (𝑊𝑟) obtenidas se comportaron por debajo de las 
              posibilidades reales del conjunto con magnitudes 14,65; 17,71 y 29,1 ha 
              turno<sup>-1</sup> respectivamente.</p>
          </li>
          <li>
            <p>Analizados los 
              indicadores de eficiencia de los agregados en estudios se puede afirmar 
              se puede afirmar que la causa de los valores bajos se debe a violaciones
              de lo reglamentado en los instructivos técnicos y normas ramales de la 
              agricultura, así como, a la gestión desfavorable de la administración.</p>
          </li>
        </ul>
      </div>
    </article>
  </section>
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