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<title>
Physical-Mechanical Properties of Peanut (
<i>Arachis Hypogaea</i>L.) for the Design of Flat Classification Surfaces 
</title>
<meta content="Classification, gravimetry, physical properties, mechanical properties, postharvestClasificación, gravimetría, propiedades físicas, Propiedades mecánicas, postcosecha" name="keywords">
<meta content="Miguel Herrera-Suárez" name="author">
<meta content="Richard Xavier Cevallos-Mera" name="author">
<meta content="Paúl John Lucas-Meza" name="author">
<meta content="Cristian Andrés Sornoza-Solórzano" name="author">
<meta content="Carlos Arturo Montes-Rodríguez" name="author">
<meta content="Omar González-Cueto" 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">
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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>
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  <div class="toctitle2"><b>ORIGINAL ARTICLE</b></div>
  <h1>Physical-Mechanical Properties of Peanut (<i>Arachis Hypogaea</i> L.) for the Design of Flat Classification Surfaces</h1>
  <div>&nbsp;</div>
  <div>
    <p><sup><a href="https://orcid.org/0000-0003-4567-5872" rel="license"><span class="orcid">iD</span></a></sup>Miguel Herrera-Suárez<span class="tooltip"><a href="#aff1"><sup>I</sup></a><span class="tooltip-content"> Universidad Técnica de Manabí, Portoviejo, Manabí, Ecuador.</span></span><span class="tooltip"><a href="#c1"><sup>*</sup></a><span class="tooltip-content">✉:<a href="mailto:miguelhs2000@yahoo.com">miguelhs2000@yahoo.com</a></span></span></p>
    <p><sup><a href="https://orcid.org/0000-0002-7686-3684" rel="license"><span class="orcid">iD</span></a></sup>Richard Xavier Cevallos-Mera<span class="tooltip"><a href="#aff1"><sup>I</sup></a><span class="tooltip-content"> Universidad Técnica de Manabí, Portoviejo, Manabí, Ecuador.</span></span></p>
    <p><sup><a href="https://orcid.org/0000-0002-8981-8647" rel="license"><span class="orcid">iD</span></a></sup>Paúl John Lucas-Meza<span class="tooltip"><a href="#aff1"><sup>I</sup></a><span class="tooltip-content"> Universidad Técnica de Manabí, Portoviejo, Manabí, Ecuador.</span></span></p>
    <p><sup><a href="https://orcid.org/0000-0002-1762-3365" rel="license"><span class="orcid">iD</span></a></sup>Cristian Andrés Sornoza-Solórzano<span class="tooltip"><a href="#aff1"><sup>I</sup></a><span class="tooltip-content"> Universidad Técnica de Manabí, Portoviejo, Manabí, Ecuador.</span></span></p>
    <p><sup><a href="https://orcid.org/0000-0001-8302-4056" rel="license"><span class="orcid">iD</span></a></sup>Carlos Arturo Montes-Rodríguez<span class="tooltip"><a href="#aff1"><sup>I</sup></a><span class="tooltip-content"> Universidad Técnica de Manabí, Portoviejo, Manabí, Ecuador.</span></span></p>
    <p>Omar González-Cueto<span class="tooltip"><a href="#aff2"><sup>II</sup></a><span class="tooltip-content"> Universidad Central “Marta Abreu de Las Villas”, Santa Clara, Villa Clara, Cuba.</span></span></p>
    <br>
    <p id="aff1"><span class="aff"><sup>I</sup> Universidad Técnica de Manabí, Portoviejo, Manabí, Ecuador.</span></p>
    <p id="aff2"><span class="aff"><sup>II</sup> Universidad Central “Marta Abreu de Las Villas”, Santa Clara, Villa Clara, Cuba.</span></p>
  </div>
  <div>&nbsp;</div>
  <p id="c1"> <sup>*</sup>Author for the correspondence: Miguel Herrera-Suárez, e-mail: <a href="mailto:miguelhs2000@yahoo.com">miguelhs2000@yahoo.com</a>.</p>
  <div class="titleabstract | box">ABSTRACT</div>
  <div class="box1">
    <p>The
      goal of the present work is to determine the physical-mechanical 
      properties of Criollo variety of peanut kernels, required for the design
      of gravimetric classification machines. To fulfill the objective, the 
      physical-mechanical properties of the peanut kernels of the most 
      harvested variety (Criollo) in Manabí-Ecuador Province were determined. 
      As physical properties, the dimensions of the grains, the equatorial 
      diameter, as well as the specific and volumetric weight were determined.
      Static and dynamic friction and rolling angles were determined within 
      the mechanical properties on four types of surfaces (carbon steel, 
      stainless steel, wood, and rubber). The results allowed determining the 
      dimensions of the peanut kernels m = 0,26 to 0,6 g; L = 10 to 15 mm; d =
      5,50 to 9,1 mm. It was evidenced that the friction angle and the 
      rolling resistance angle were higher in static cases on all surfaces 
      investigated. Those of stainless steel and aluminum showed the lowest 
      values of the static and dynamic coefficients of friction (ϕ=14,7 ± 0,07
      αvδ ϕ <sub>d</sub>=13,5 ± 0,07 degree). The maximum values were observed on the rubber surface with ϕ = 35,7 ± 0,10 αvδ ϕ<sub>d</sub>=
      31,4 ± 0,13. The static and dynamic rolling angle showed a behavior 
      similar to that observed in the friction angle, reaching maximum values 
      in the rubber surface (α=26,0 ± 0,11 αvδ α<sub>d</sub>=24,4 ± 0,08 degree).</p>
    <div class="titlekwd"><i>Keywords:</i>&nbsp; </div>
    <div class="kwd">Classification, gravimetry, physical properties, mechanical properties, postharvest</div>
  </div>
  <div class="box2">
    <p class="history">Received: 23/9/2021; Accepted: 14/3/2022</p>
    <p><i>Miguel Herrera-Suárez,</i> Profesor Principal II, Universidad Técnica de Manabí, Facultad de 
      Ciencias Matemáticas, Físicas, y Químicas, Departamento de Mecánica, 
      Portoviejo, Manabí, Ecuador, e-mail: <a href="mailto:miguelhs2000@yahoo.com">miguelhs2000@yahoo.com</a>.</p>
    <p><i>Richard Cevallos-Mera,</i> Docente Tiempo Completo, Universidad Técnica de Manabí, Facultad de Ing. Agrícola, Portoviejo, Manabí, Ecuador, e-mail <a href="mailto:richard.cevallos@utm.edu.ec">richard.cevallos@utm.edu.ec</a>.</p>
    <p><i>Paúl-John Lucas-Meza.</i> Ing. Mecánico. Graduado de la carrera de Ing. Mecánica, Universidad Técnica de Manabí, Manabí, Ecuador, e-mail: <a href="mailto:jlucas1334@utm.edu.ec">jlucas1334@utm.edu.ec</a>. </p>
    <p><i>Cristhian-Andrés Sornoza-Solórzano,</i> Ing. Mecánico. Ing. Mecánico. Graduado de la carrera de Ing. Mecánica, Universidad Técnica de Manabí, Manabí, Ecuador, e-mail: <a href="mailto:csornoza7883@utm.edu.ec">csornoza7883@utm.edu.ec</a>. </p>
    <p><i>Carlos Arturo Montes-Rodríguez,</i> Docente Tiempo Completo, Universidad Técnica de Manabí, Centro de 
      Promoción y Apoyo al Ingreso, Portoviejo, Manabí, Ecuador, e-mail: <a href="mailto:arturocarmontesro@gmail.com">arturocarmontesro@gmail.com</a>. </p>
    <p><i>Omar González-Cueto</i>.
      Profesor Titular, Universidad Central “Marta Abreu de Las Villas”, 
      Facultad de Ciencias Agropecuarias, Departamento de Ing. Agrícola, Santa
      Clara, Cuba, e-mail: <a href="mailto:omar@uclv.edu.ec">omar@uclv.edu.ec</a>. </p>
    <p>The authors of this work declare no conflict of interests.</p>

    <p><b>AUTHOR CONTRIBUTIONS: Conceptualization</b>: M. Herrera, <b>Data curation</b>: M, Herrera, P. J. Lucas Meza, C. A. Sornoza Solórzano. <b>Formal analysis</b>: M. Herrera, O. González, R. X. Cevallos Mera, <b>Investigation</b>: M. Herrera, R. X. Cevallos Mera, P. J. Lucas Meza, C. A. Sornoza Solórzano, C. A. Montes Rodríguez. <b>Methodology</b>: M, Herrera, O. González, P. J. Lucas Meza, C. A. Sornoza Solórzano. <b>Supervision</b>: M. Herrera, O. González. <b>Roles/Writing, original draft</b>: R. X. Cevallos Mera, P. J. Lucas Meza, C. A. Sornoza Solórzano, C. A. Montes Rodríguez. <b>Writing, review &amp; editing</b>: M. Herrera, O. González, C. A. Montes Rodríguez.</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="#id0x6a3b280"><span class="menulevel1">INTRODUCTION</span></a></li>
        <li><a href="#id0x5990280"><span class="menulevel1">METHODS</span></a></li>
        <li><a href="#id0x5994d00"><span class="menulevel2">Methodology to determine the physical properties of peanut kernels (Arachis hypogea)</span></a></li>
        <li><a href="#id0x1f16f00"><span class="menulevel1">RESULTS AND DISCUSSION</span></a></li>
        <li><a href="#id0x1f2cf80"><span class="menulevel2">Mechanical properties of peanut kernels involved in the design of gravimetric sorting surfaces</span></a></li>
        <li><a href="#id0x1f5fe80"><span class="menulevel1">CONCLUSIONS</span></a></li>
        <li><a href="#id0xbc99a00"><span class="menulevel1">INTRODUCCIÓN</span></a></li>
        <li><a href="#id0xbc9db00"><span class="menulevel1">MATERIALES Y MÉTODOS</span></a></li>
        <li><a href="#id0xbca3600"><span class="menulevel2">Metodología para determinar las propiedades físicas de los granos de maní (Arachis Hypogea)</span></a></li>
        <li><a href="#id0xbcaca00"><span class="menulevel2">Determinación experimental de las propiedades mecánicas de los granos de maní</span></a></li>
        <li><a href="#id0xbc9df00"><span class="menulevel2">Propiedades mecánicas relacionadas con la fricción, el contacto y la rodadura</span></a></li>
        <li><a href="#id0xbcaed00"><span class="menulevel1">RESULTADOS Y DISCUSIÓN</span></a></li>
        <li><a href="#id0xbcbdd00"><span class="menulevel2">Propiedades mecánicas de los granos de maní que intervienen en el diseño de las superficies de clasificación gravimétricas</span></a></li>
        <li><a href="#id0xbcd8f00"><span class="menulevel1">CONCLUSIONES</span></a></li>
        <li><a href="#ref"><span class="menulevel1">REFERENCES</span></a></li>
      </ul>
    </nav>
  </div>
</header>
<div id="article-front"></div>
<div class="box2" id="article-body">
  <section>
    <article class="section"><a id="id0x6a3b280"><!-- named anchor --></a>
      <h3>INTRODUCTION</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <p>The peanut (<i>Arachis hypogaea</i> L) is one of the most nutritious and important legumes worldwide, 
        contributing to the agricultural and industrial development of the 
        countries where it is grown, especially in developing nations (<span class="tooltip"><a href="#B7">Guamán y Ellaury, 2004</a><span class="tooltip-content">GUAMÁN, R.; ELLAURY, R. J.: <i>Maní. Guía de cultivo para las zonas de Loja y el Oro,</i> Boletín divulgativo, 314, Guayaquil, 2004.</span></span>).</p>
      <p>The
        high content of oil, protein, vitamins and minerals make this crop an 
        excellent food source, both human and animal, which is why it is highly 
        demanded by the candy and jam industry. The grains can be consumed raw, 
        roasted and butter and oil of high nutritional and utilitarian value for
        the industry can also be made from peanut (<span class="tooltip"><a href="#B2">Ayala, 2009</a><span class="tooltip-content">AYALA, T. C. L.: <i>Estudio
        de prefactibilidad para la producción y comercialización de maní 
        (Arachis hypogaea L) en el cantón Jipijapa, provincia de Manabí</i>, 
        69pp., Tesis (en opción al título de Ingeniero Agroempresas), Colegio de
        Agricultura, alimentos y nutrición, Universidad San Francisco de Quito,
        Ecuador, 2009.</span></span>). </p>
      <p>Because of its vegetable nature, 
        peanut is an excellent food source, having multiple uses in human and 
        animal nutrition, as well as contributing 30% of proteins and 50% of 
        unsaturated fats that lower cholesterol. It is also very rich in vitamin
        E and provides minerals such as sodium, potassium, iron, magnesium, 
        iodine, copper and calcium (<span class="tooltip"><a href="#B2">Ayala, 2009</a><span class="tooltip-content">AYALA, T. C. L.: <i>Estudio
        de prefactibilidad para la producción y comercialización de maní 
        (Arachis hypogaea L) en el cantón Jipijapa, provincia de Manabí</i>, 
        69pp., Tesis (en opción al título de Ingeniero Agroempresas), Colegio de
        Agricultura, alimentos y nutrición, Universidad San Francisco de Quito,
        Ecuador, 2009.</span></span>). Some nutrition experts believe that 
        peanuts are beneficial for cardiovascular health and brain function due 
        to their oleic and linoleic acid composition (<span class="tooltip"><a href="#B2">Ayala, 2009</a><span class="tooltip-content">AYALA, T. C. L.: <i>Estudio
        de prefactibilidad para la producción y comercialización de maní 
        (Arachis hypogaea L) en el cantón Jipijapa, provincia de Manabí</i>, 
        69pp., Tesis (en opción al título de Ingeniero Agroempresas), Colegio de
        Agricultura, alimentos y nutrición, Universidad San Francisco de Quito,
        Ecuador, 2009.</span></span>).</p>
      <p>According to statistics for Latin American region (<span class="tooltip"><a href="#B5">FAOSTAT, 2018</a><span class="tooltip-content">FAOSTAT: <i>Cultivos.
        Producción/Rendimiento de Manís (cacahuete) con cáscara en América del 
        Sur + (Total) 1994 - 2016, [en línea] 2017, Disponible en:</i><a href="http://www.fao.org/faostat/es/#data/QC/visualize" target="xrefwindow">http://www.fao.org/faostat/es/#data/QC/visualize</a><i>[Consulta: agosto, 2018].</i></span></span>),
        Argentina has established itself as one of the main in-shell peanut 
        producers in the world, after China, India, Nigeria and the United 
        States. World in-shell peanut production oscillates around 45 654 t and 
        is led by China (37% of total production) with around 17 000 t, followed
        by India (20% of the total) with around 9 000 (<span class="tooltip"><a href="#B4">Blengino, 2015</a><span class="tooltip-content">BLENGINO, C.: <i>Maní,</i> Organización de las Naciones Unidas para la Alimentación y la Agricultura, 2, 2015.</span></span>).</p>
      <p>Globally,
        China has managed to position itself as the world's leading producer 
        and exporter of peanuts, taking advantage of its privileges in terms of 
        soil conditions and production areas, yields and labor. This allows it 
        to compete with prices well below the market average. However, it has 
        not advanced in technology and quality as it has in other countries (<span class="tooltip"><a href="#B4">Blengino, 2015</a><span class="tooltip-content">BLENGINO, C.: <i>Maní,</i> Organización de las Naciones Unidas para la Alimentación y la Agricultura, 2, 2015.</span></span>).</p>
      <p>In
        Ecuador, peanut cultivation is traditional in the productive areas 
        located in the provinces of Manabí, Loja, El Oro and Guayas. Currently, 
        between 12 000 and 15 000 ha are cultivated, with an average yield of 
        700 kg/ha of peanuts in shell (<span class="tooltip"><a href="#B2">Ayala, 2009</a><span class="tooltip-content">AYALA, T. C. L.: <i>Estudio
        de prefactibilidad para la producción y comercialización de maní 
        (Arachis hypogaea L) en el cantón Jipijapa, provincia de Manabí</i>, 
        69pp., Tesis (en opción al título de Ingeniero Agroempresas), Colegio de
        Agricultura, alimentos y nutrición, Universidad San Francisco de Quito,
        Ecuador, 2009.</span></span>).</p>
      <p>Although in Ecuador the 
        cultivation of peanuts has become a family-type activity, the average 
        annual production remains at approximately 591 to 909 kg/ha, not enough 
        to cover the needs of internal consumption, which on average are about 
        1,150 kg. /ha, that is, around 225 t/year are produced, with a marked 
        deficit for the oil, vegetable fat and confectionery industries, of 
        around 450 kg/ha.</p>
      <p>Worldwide for the Spanish and Virginia genotypes, respectively, yields are 2 031 and 1 932 kg/ha (<span class="tooltip"><a href="#B19">Zapata <i>et al.</i>, 2012</a><span class="tooltip-content">ZAPATA,
        N.; VARGAS, M.; VERA, F.: "Crecimiento y productividad de dos genotipos
        de maní (Arachis hypogaea L.) según densidad poblacional establecidos 
        en Ñuble, Chile", <i>Idesia (Arica)</i>, ISSN 0718-3429, 30: 47-54, 2012.</span></span>). The low productivity shown in peanut cultivation in Ecuador is basically due to the lack of improved varieties (<span class="tooltip"><a href="#B11">Ivad, 2015</a><span class="tooltip-content">IVAD: <i>Producción actual de maní en Ecuador, rendimientos, y comercialización, [en línea] Disponible en:</i><a href="http://ivad1991.blogspot.com/2015/07/produccion-actual-de-mani-en-ecuador.html" target="xrefwindow">http://ivad1991.blogspot.com/2015/07/produccion-actual-de-mani-en-ecuador.html</a>. <i>[Consulta: 3 de marzo].</i></span></span>).</p>
      <p>Historically,
        in the province of Manabí, the plantations of this crop are 
        concentrated in the cantons of Portoviejo, Tosagua, Chone, 24 de Mayo 
        and part of Rocafuerte. In it, 9,000 ha are planted, of these, the 
        largest volume of production is concentrated in the Calderón Parish, 
        northeast of Portoviejo. There, 40% of Manabí crops are developed (<span class="tooltip"><a href="#B18">Zambrano Casanova, 2018</a><span class="tooltip-content">ZAMBRANO CASANOVA, D. E.: <i>Propiedades físico mecánicas de los granos de maní (Arachis hypogaea L.) Que intervienen en la clasificación gravimétrica</i>,
        76pp., Tesis (para optar por al grado de Magister en Ing. Agrícola), 
        Instituto de Postgrado, Universidad Técnica de Manabí, Manabí, Ecuador, 
        2018.</span></span>).</p>
      <p>Four varieties of peanuts are grown in this 
        area, being: INIAP 380; Charapoto or Creole; Caramel or 382; and Rosita 
        or 381. Criollo or Charapoto variety is the one that covers the largest 
        planting area, since it has the greatest resistance to diseases and good
        adaptability to the rigors of the climate that are experienced in the 
        territory, although the yields can be significant if appropriate 
        agricultural practices are applied (<span class="tooltip"><a href="#B3">Barros, 2015</a><span class="tooltip-content">BARROS, C. J. C.: <i>Comportamiento agronómico de tres variedades de maní (Arachís hipogaea l.) en el cantón Quinsaloma</i>,
        78pp., Tesis (en opción al titulo de Ing. Agropecuario), Unidad de 
        Estudios a Distancia. Carrera Agropecuaria, Universidad Técnica de 
        Quevedo (UTEQ), Quevedo, Ecuador, 2015.</span></span>).</p>
      <p>The 
        Department of Productive Promotion of the Provincial Government of 
        Manabí is developing several projects for the improvement of peanut 
        production and the development of agribusiness in this sector, as well 
        as supporting new ventures that will serve as a development axis for the
        province. As part of this action, the existence of a problem related to
        the selection and classification of peanut kernels has been identified,
        as this is detrimental to the final quality of the product.</p>
      <p>In 
        Ecuador, namely, the machines that are used for the classification of 
        peanut grains have as a working principle the screening or selection by 
        calibers, in this way the peanut grains are separated according to their
        size. This results in grains that are the same size, but when weighed 
        do not have the same mass, showing differences in weight of up to 15%. 
        That problem requires that, in the peanut benefit process, it is 
        necessary to use a classifier whose principle of operation or separation
        is based on the mass of the grains (difference in mass).</p>
      <p>Internationally,
        machines of this type have been developed, many of which are known as 
        gravimetric or densimetric sorters, which guarantee greater uniformity 
        in the mass of the kernels.</p>
      <p>Currently in Ecuador this type of 
        machines is not manufactured and their importation is expensive 
        (MECALUX, 2016), with prices that can range between 12 000 and 15 000 
        USD, so it is convenient their local development. </p>
      <p>As a previous 
        step to the design of these machines, the determination of the 
        physical-mechanical properties of the peanut kernels is required. Taking
        into account these aspects, as well as the fact that Criollo or 
        Charapoto variety is the most cultivated in Manabí Province, it was 
        decided to carry out the present work with the objective of determining 
        the physical-mechanical properties of Criollo variety peanut kernels, 
        required for the design of gravimetric grading machines.</p>
    </article>
    <article class="section"><a id="id0x5990280"><!-- named anchor --></a>
      <h3>METHODS</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <p>The
        experimental investigation was carried out in the controlled conditions
        of the physics laboratories of the Institute of Basic Sciences (ICB) of
        the Technical University of Manabí.</p>
      <p>The program of the experimental investigations is shown (<span class="tooltip"><a href="#t1">Table 1</a></span>),
        where the object of study, order of execution, the aspects analyzed and
        the place where each task was carried out are established. The same 
        were carried out in the period included in the year 2021, first 
        semester.</p>
      <div class="table" id="t1"><span class="labelfig">TABLE 1.&nbsp; </span><span class="textfig">Program of the experimental investigations</span></div>
      <div class="contenedor">
        <div class="outer-centrado">
          <div style="max-width: 1160px;" class="inner-centrado">
            <table>
              <colgroup>
              <col>
              <col>
              <col>
              <col>
              </colgroup>
              <thead>
                <tr>
                  <th align="center">Task</th>
                  <th align="center">Object of study</th>
                  <th align="center"> Aspects to be analyzed</th>
                  <th align="center">Place</th>
                </tr>
              </thead>
              <tbody>
                <tr>
                  <td align="center">1</td>
                  <td align="left">Physical properties of peanuts </td>
                  <td align="left"><div class="list"><a id="id0x5992700"><!-- named anchor --></a>
                      <ul>
                        <li>
                          <p>Length</p>
                        </li>
                        <li>
                          <p>Mass</p>
                        </li>
                        <li>
                          <p>Equatorial diameter</p>
                        </li>
                      </ul>
                    </div></td>
                  <td align="center">Laboratory of the Research Institute, Technical University of Manabí</td>
                </tr>
                <tr>
                  <td align="center">2</td>
                  <td align="left">Mechanical properties of peanut kernels</td>
                  <td align="left"><div class="list"><a id="id0x5993a00"><!-- named anchor --></a>
                      <ul>
                        <li>
                          <p>Coefficient of static friction </p>
                        </li>
                        <li>
                          <p>Coefficient of dynamic friction</p>
                        </li>
                        <li>
                          <p>Coefficient of resistance to static rolling</p>
                        </li>
                        <li>
                          <p>Coefficient of resistance to dynamic rolling </p>
                        </li>
                      </ul>
                    </div></td>
                  <td align="center">Physics laboratory. Institute of Basic Sciences, Technical University of Manabí</td>
                </tr>
              </tbody>
            </table>
          </div>
        </div>
      </div>
      <div class="clear"></div>
      <article class="section"><a id="id0x5994d00"><!-- named anchor --></a>
        <h4><b>Methodology to determine the physical properties of peanut kernels (<i>Arachis hypogea</i>)</b></h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <p>The
          physical properties of peanut kernels investigated were: length; 
          equatorial diameter and peanut mass which agree with the properties 
          proposed by <span class="tooltip"><a href="#B12">KURT y ARIOGLU (2018)</a><span class="tooltip-content">KURT, C.; ARIOGLU, H.: "Physical and mechanical properties of some peanut varieties grown in Mediterranean environment", <i>Sciendo</i>, e-ISSN 2067-1865, Vol. LI(2): 27-34, 2018.</span></span>, to define kernel dimensions.</p>
        <p>The
          preparation of samples as a previous step to determine physical 
          properties, consisted on the selection of 10 kg of certified seed, 
          coming from the experimental areas of the National Institute of 
          Agricultural Research (INIAP) in Portoviejo. The measurements of 
          physical properties involved taking 50 samples (kernels) at random, 
          during the determination of each of the properties. <span class="tooltip"><a href="#f1">Figure 1</a></span>, shows the preparation of the sample of peanut kernels subjected to the test.</p>
        <div id="f1" class="fig">
          <div class="zoom">
            <svg xml:space="preserve" enable-background="new 0 0 350 291.416" viewBox="0 0 350 291.416" height="291.416px" width="350px" y="0px" x="0px"  version="1.1">
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Rc7RkbyR%20St2H6CWsI7WHDtlBX3GyI62kwrY9HGqWFTq8KxApr1iEvEyKCHk4FsbTtUPlG4XR5pUa9i3/Cg5L%20UQkL3EdfgUhsxRJaIfvIp9L91GT6bJViaAMeqrBQNaoBLM0qey7OnQs+7NGXFL96wCQLF23IjUId%206soeTrILavnTnOQe9adRxVhfTDMr/Zr0Orj8Vi5ama9AliGtoQoNh3xmVkw3ppq3xSjNexiRm01G%20w1qjLUngFBlMxwlPOFHGcXSMDJw9RcgNhQ96Vb1T2mg0vD3UYXxwSQsas/KYt+6YozNDZyeDmTnJ%20xc+D6n1UpwvYbmC91YDenmt7nnK2qjKQMjT+36M/5MP4REGT+TFue1DtuOGWEbk3Y+l0XhZrAcfI%20e3m6Y61b1OaNq4tCcgPQsdKWvUjau4C0/zZFzjBEZnN3pm9ZffZ7aHVxEtoIT3RLk7MoBTxtwnZ6%20gHmeRUlG8Z74RludFODMsKSf4k4PUKY8TXS9oof0wks+qmGUKB9Woa9KL1nBNIySlGEKwXzVK8lq%206CtvppmngSqMhNQZhiDORfr0s1K5dNlt+IKT5IhbZSuw2LNmGplIhoyHd+p2m4rN5i/7EYOA49u3%2001QfY11BD2ybk+ZXa99JDpDsNbxCBhtJGzeXKoRMHfpgf6VFotdoS5W8ibhaQ0eANiqfWNJTozv3%20UKnZ73UFPJuRLnpbpRetPoFdtHyq3mOc4rREfumP1ZRkCtAfcNXR33f/6tefTOF7U35d8f/bWYNJ%20nBQqcDbLsuCZy/64B9O++Do9+/Sm+fxEjCwLOz3I6Mur0o8qbnCGJ9HiYzjlYEljX+2EQiVyf+JE%20LHsiIt4jgBUSSDWUQ8miNynDTBiYE75xRuGFRagSceC3SneHUeYGLtFiXLRRXSooTaXkdGXETn2i%20Ws73fEj1XUlGIixFBx6SMr32OviRcEH2XBU1Y0UjcPxEWLXzd90RE6/xhNRSS+V0GXvAY51xhVVn%20X9YDZ9BSURI3T8cjf4lmWoSDbRRjX2gFBa2gWmu1FtuzbRlGLyxETjt3Z/wFVHsSLLpiTncGPLC1%20GZckE11VcOZCICkzfEQicTR2SwBEIIn/ox56AGVQFn0BUCWhRhRZFzVqYyGP2FYsojM9Nidk92mE%20JUviVynQtnWVMkvS41fTo02ZqF4CVTr65xs0wRw/N3hw5FoqAgWloAcsZX9Vx4cu9EE+9Wwk1Fp5%20IzrNYkjRRod5GDYdMlZMUkJXUIzPaEj3RXDb9CQD9ivGQhbswhQ/IxoBWIkxQlBd1m2CWBVd1S5S%20cmP/hC8rtVKGQWPrdS9aVy5c1CTJckui0i6M9k+u+DmJw1GLSDUvRV0quCqg5lCm4nOqSC8sxVIH%20aTSWBR9GYRnlpxIHg1RtNDYzhyTaRDyStVL6qB4954w3JGp7cIHFxwJLIzUyVTEZqCx0/2RyDiN4%20/ddngKV+yWMxh/U0cLIsznQaxRgtP2N/sUQ3sOE3SIFSsecSoMRL7VYkrqQe9FgK92hqolNAHDNq%20eQJ1mrMiSgRdAxk0mkRklXFY5pJqicZQQnZwpgNKlpaKQdUpLNhwW3c1TKGITZNBJWgqoAQT0pGD%20JUKL2uaAxCMVdBAx6HIfUUVF/sZOFwdL/hVtLoUnKsJzsBFI5VQjMHJN2uNTT2RsPmQfPaQs88ea%20H1SHK5BPwViPnzCJfkRfRJdxIMkS97IlRxOEsFQ0CDKPPAZd+sZjTyFsFmJLJgRL5KJkZsU+GCNA%20ewlG2QQgtCEIyllv/sEz+3ErCJJoTP+BaGkVAOZ5AOZJlDRZWJwUUUxkS5W1JbZIEiKmMjbSckfl%20FfqVgXN1BRKldBVyOelUR/ulH+PEMfnZIQFgAr1SNJx5YThJRiVAQOnka2fIcT9VOAY2TcqDQTWy%20An/zc69pPUqFZer0PeUmIUVXEl/hIp+IXrbEJrVERkfxj+9ZilBDl5syjoomXGTRH9AVRZqhWFvH%20Ptg3XTPKam8ZIJr4iYKwlur2gyzWPoWYdRAVNT/6UGKjS6+oMvN5EinCJRnUQ0DVOuJkYTXqUEDF%20mmzKAnEDUS33hdzjcZrRn3bWbcfoInZaMiGDhyVJZgP1TirCPP1Xk/oxLD00ktkYJYb/FKJK4Tsn%20oRuEVpB9WVlM1oIT5XtOw6D+ASXhR0gVuSnTAxugUG+WmmIsEpagVi5bBz6kAkrV9aTAGU126TpV%20o0VNR6tSkzz1EQjNlU/SJqWd4hvJchLXOBQSCTLTCVsAhqaMCUJ/Izes6TRJ8gk1BArJtiwldxWK%20F0cyGRR+wZOD8ylSyKhF5U6ewTCxpX83tB9RtSGCFyWmoGALcleCwAqkVEcC9HPQgRKRsjWUukA5%20lnSFOHBQU2LxkRlr55zJcxTehD1pGTqgpYvwua8sKF7/5J2aAjr/xqrN+aSksiLsxmBrWLIJ1l3c%20oRlPcp1SIxB1MRKvYaJst6+vVbM1/4d+L0KHIMQns4k24RJ3QbFy21Sn6ehRtKWubzNW5nhwNKWQ%20QOWnDvgiFeZTMWc1y/YmbEIx3qOSJ3RXCsYKBLggF5JhuYgcIUFo/EIV1qp8zDquC8Wqb0lWUJB2%20SVIiPGiKQdFvsVRnV6FYX4kyZuVEtzRgu6cu/vGQlQpA6ymdAOejXdpwPWgf9bqGCxYNa9hL60lU%20XGImHZFVAhGmALCUZ/cs5sopGEMsc4uT/6WNUEAHxRYxu0KF2fYfHMqnwxNYDuufStV/ztSht/Va%20HkI3hVOz3AZwqedZk8FOPzV9osJd16BgreBggjBCOVM9O3Sn1vIRp0Qk2CN3C4WVRv+2KtN5qVmz%20UmX3cg3LQEjKpJhhnq+jV6wEP/QjXg3bYUj2V8k1NfFzbz0TGa+jHuTVLvlyOTR4U62QTw4kfD/K%20TDU6FiAxlplHWR2HVNAKQ7aLJ81KNh3HeO1BWrH1PVv0PX0KMsobPK1VrrGFWXt4YaIzoPm1wUQC%20ChgCI9NkKyIpUJjDeeRYB7MpPAk7SVjRkRjRgRs2k5pYlw7HYqcJvjECejuouGFFkKAiJxCFIOsp%20i/nrlyVmJFg8mFZSZMeFiloHJRUlWJIjgyH4ou2pskbDoHVxRoJmEfX5jHuiQTZsK/r2N5MBk46U%20p202J4YBZT9UXzUVDfuhPHIoZ07/uTF+8UhaGzerojcNQ4LWJkkCdi/gCKHnqrWs9aDKxmxkaMmv%20dyZv5BG9GLBxK2oppopqCp9BwXkeolMDlokDsh+jpsqQIoMHxL+PXBmTcrisajT/K0tkDH5wi79g%20rIqUcmI+FDUBrL9PcyYd8YQp4sNjCrQwJcovRBseDI6lV30omVmgvEFeRrrVxkcArMJwJCesEKiU%2057O45XjxHCKWDMMiqYFGWT9F+UKX3CHGAqJIJJSzAqJRqRFHJ0GsbFZKFyTOuYjLmj+YWJ501y6v%20KsuImjdhNEvnyk+fRsbDh3wkgmqLCDtZVopanHRkPLquB3EKdLgLRE59NHdcF0tz/9ctXWIRoOul%20WeWw/6k3ocg2kKWQ+7q6LHIpODlHfNOMoCw8ethytFhCbxauNuxvSLlHNezPBepBvPtIjCSARpUy%20N6c370fBZEhz3St/SPEYIrYRgzmRpKokI8IxnyYgnaPGWPmfy+o4G5ZLkGvFWlm+QaI0pvavYyNk%20Ymy4yMXVsUS3DM2wXEx3pHK/XBeWDuokMorE5fIkCxd1r2MVUoYRxkRTlUUbJXwy9UdjZppx34TV%20+qpsOGRaqltVW2bPpZLUFoZZKtLM8cQHd4MyWKt9FNqoRumMqttr1tym8oS6kIebd0JfpJwRaKsf%20vyO4+6p07nGCwuI5/xiCulRnt//VPrCziGFUH+h7YsgVnEji2NE3v+O1daNzdhJLb0gcxoyibyci%20SqqjkJ22UevjNE7ikLbXFXEMEb5BJlRbtk87GUJHMMTSOmzCyDUbBQDIh8LLkmWDmlSVmXMbhHsg%20fFh7FAiabSATI6CZp5O0cIZcQwyDTXTDf8JDpair281kYR5KK+G4k6WSvRZRsE0Wscxko4WDVl7M%20R+X1mU/Nyov0RZTh2N3py0PiUUm9ygrTS+4mcJojpU9yGqQkWAEnmBjbvhkilyWZpYziy7MCzPvY%20zBuRTcRrl3YKvKS9SGgdNv4pgaB1oZLUek49amftWb0yLRjjGa3LiwRXrhB6pkv/fd+IRzKQFzbW%201E9htJKw3ZoPEwjm5I0+F7whkxHnAQDkCY/opnstKCoB4jRa5ERWzEuC9cufM1BH3h5k10WEaebx%20g4i4rIltzai5ZFxhxCgnpnXnRSEE5cMhJVxvxz6brb+T8X7i1x82zXcS8Rj5WbOZ4Tz1ElN7lENB%201Tx+WhnTBMp+lDbpCG9HcdboUiBJFa2px8l1pMgeoueJHpNocrV5pnHFNWFu9n75lZ0ds2XKEnhk%20NTh14RvvFe3oUSI4isFSKLhEkXyqRNCgcr9RIuRMAazp8sUovW8spU1bWoWp+0ulSm+OzcBvhyTN%20KpYqFt7OScvzgrGsdtJy2Mpy/ze3/yOHx0wpF0FJTLWaGHjPOyNNFTZVRCkufEhsnhEocE5L7Pow%20DA7TUsg53XbnxsZsGsg+wRXKeKiZFTIs3FY1KQzEsiVI3ON4RppZf8anGBEUS6HAk2IvSlwlgt1P%20q9aqvyeCXbTAcHsvok5RwfVPTgLkjQKnf/lydGDeAG1RNM1RAimAsm4/7qvMK7uqNZdXwpymJ4KU%20xccoZjLgCXEjwFFr1nnjbGpxOnlrHSJhx1WJM4Rx91XZDugrq3uTDcp/h/QJbaEMglFIzEM8F/L6%20I6qf7dOALzR/AH32I3dbcYd+IOOh3JSwr2ktnN8Q2dP4R5TfnlqrpZZXLLZvgf/AeHLXzA1Ve6Em%20V6noql/+P6WgDMoADepfdntwt05CXKpEVKIO6TV/zOn5On7VYpwDEFACfdpTsOAVKCxYBGBYooTC%20hAlZOGRx5coei1A0AtgIwONHkCFBsvAoaI+pkwWj7GEBpUREKAhltlyxsESAhFcqQjGJko/Ghy9b%20QjFVtGjKPRp3ztTpUuFMKAEmIkyaVObDADKhYNwT5UpNKMqURYMWrZSyPZ+ARlWYdOHbEjqvrFy5%20VaNUoQhztsS6MGHXpE6DQjExNSVKlFYVBrg5delijYIu1r0CQKdIzCNJAmjp0SBGvRNXaNSI0AoU%20KwoXM4Z4xaQgQShDQ6xo1NT/J4KBwYJWqrriRYuLHWr87FZqTK/Ag+M0RRba0T10evt2SfG4RYug%20g1Mcejqi75otLxbs7bBw4a1p95T6HDOhw4cxM058OP4gxygeO2cWeZnjCs/sYkkivHISMCYTCPSL%20p5Ni48OUi/iKaIXsLoopqImscA2KKCTcCrjA+koPMaBYoDA4phQqoaDE7NJLqO+cwiu7lSzUCS4D%20m2pJqh3bQiom4aTCKSWC2DPIPcGoiqkmnFgATMDNEOIvM9VI28qr6SaayEqrsmRtjwdNaQU6hLpT%20EaL3tFTNtQEhKg6jM7eyDRSWVihBQ+1mG0qvFfosTakYVVtBKhAziuK9xrrL/5KF1LQckTwCG6Lw%20zc8OnQ47oEpI0EorS5hyyi0FJE8xwSaqykUWOvxqoYuKGvMUMFeqyIpAAHWoyb2c4unQoXr6kS0W%20TAFFmeaKukshyVIkTMmmeMSIj+ByFS4u95pKUMi3KhotLppSk9FHCK3CqrGX0iMIpdyAdIk4vras%20qCV4nfoUM4X0q6w47G5UkTiD9L3xISdjgy4KS9Nr6q76+lURONX2iO1hk/69wqhoKmbp1vGqXXMl%202Ao67aXxIobXRJJZg0miiRhijMdBW9rDiiNJGw7f71Qr97PEID2z3aH+TIizzeqd16MrPLUMCgAO%20c9hGCZ381QS5FvORD8oSdP86WaH8mtjhEp0sDKeJj2pR16KiaU6yvt6NeiGCWYQNyKnYlEzct7Bl%20dKm+Vm4Mr9MKSjdEU9k05cCmbt6KjlPXfWnxt0xQVd3/iDZhaM0su+hBiDHyqsr0MPLZNwxH3vck%20lKZ7iHS31LTJyQfBVAlROY1iyTfaVSzsIpN4U9MrroKjD2B+Y8Zw5dqDL0iPEBMGM/d+Ad3XeTRJ%2025lTQLeiPKR6d2Jx6Z9mcpcpytrFdnxkxSTviq9jSqzdwSqKIve6IsIq+DWl5rFouLKrdjCAEaJ6%201cEIZD0n0dBosPUQCsUrKNv7BPIy5TTEKI1UWDGB3ZREKmft7y9Iux7Q9IP/NJkoJyPSsxma+uW9%20IGVrJbJ7kUOA07WEaCiEvNELUBjDKfGUaU1zMUEFTQC8ePmGMSDDDnXSghj2oIw11AGdCz/jQF2x%20SGxHQUiHVNSQp3hMD3ZRSrlCExGPdGRoP7MMSZqmqqati2cWQQmduAI3vNCGRXwQBBzrszO5fOiC%20UCqc3xC3lbvpiCpeKUzavoPGbEELNCraXgT30BcYjWZbWgqAnfyGvD8uyG0RrCMGG/OoUxVuL/gr%20V4A6yBkdlrBKQQyUy/ZAp5x5TmpVck1sdJatQQEMXqeZoXI2By7cFEQ6zotJnhQSHulpxFKjEwQf%20Fukk27RINEuBni5nhjxs/1YnLgaRXSAOEpqb3M51MZuOROAjHiuc8iOFw1FeHpMjCa3oJK1b37cW%20pxGf2AhhBXqX4jikSH2uaw/K+MRtWtSU0TiJacDKY0OD6Ks66uSIpTBoQYJikU6qqyb8Iw7iMjmk%20VmTEV6Hc0U0MlLh7Mq6SM/rQKTuSvQCgpyVYqqH+ZJYw2CQmlSjTksM+Mx+T9UwhhblaeyRigpMQ%20S3aB2WERSxY9Dgk1izn1XOxsY5yKwCZ3I9xZqALzQPNZyUZcTZSaTmYlITqEI3vwDFsplxSikQSS%20J3VPcVCzRo0paUKCaWQdFOMXtakrLhOz5V/L9SCzEXRwN8KJXawoFSZBxP9qTknQaBhkCjoqpWxi%20swiPmmmK2KCKsVoql+L8sodoFCSNClSjgu7pInWVlCMchGsHC3I0c/YQqn4zanjKpCmKkNOcrYKO%209PqHJRKyIKeg5aocm0MsgpToSuakDW14eiZCgbaeexiTKbwJJzctlaYlAl6nRPMSn9aQuj1DEn24%20BCm0/m6t6vSMZQBHPqf5TUAbzY79IsM1URLlMFDYYpJEm6rsLo0lUSPQRcwWLqt9kZ+jVNu76qY+%20h3mlBIEo1uDaJNEfKWa0jU3Kaby1LeKgSjApThyJD9QlHbElaRy8XlHaGkbVDNEvhf2jzLLqO/jE%20pGPTkeLYVFSffJUnY3//uoKGbAa2qqa4ZtZ8SpKdGmQL5UQQrRiTd9Akk28idzXO+qaGyuMytA6n%20cyByr1dgVi3qIe0lRKPxvFDikTsnzX7Zyp1dvHVRWY04MhaJsIAdKb6W9Plff4GX/rw34XKNDUZ5%20q3IoBZstthh6Le1bF2zZWSCixGahkIlttjAyNy5C1lvxgjM7jVbb671JI0RVHXunTLugVJA7RxWP%20T/scKUJJBmVezgmIrNCoPXEKdUyVyEZvgmTQ1EhPvxuKiahcO1ZftzWgTZbzdn3k62QEnNakSHlJ%20CDD6znitqyUtaVeswLpVsJ3tXhHheiSk0rQEav10H6oFWVdRVZTZKrUJ/7W6Ai1/9/Ml4xsUhV39%207tTEmEFJUdXX/EJwqUy2Iu1rVt22NGmXpPsjQiOqtqf15fbSR2VMzHF84lu70kp1TWAaYasvAjPS%20ya7ACdmoyl3OsfZoxZwOsROSnSo6+iyFqwbiqXmsS25dxok3TlkN8MLIwTp3cCH6aXSFKfmUD70R%20f3b7zr/aGcOERg2NDI5jCQ6lIxoKyAqbhUZBucg/FfKlVSmplWI6xBa7TZAFCcqasyxk2K+DmsFW%20g8vH27K1EMnIhbSlrcgBEPUqz2W9HCrISDNl7pejvMkSaTVplgmXcmvJNXqRCczOUjHoDFN1CZtP%20RXL+3al3NT46wvaZ2P/0xqGrjCFQTW6ta3iS1J77hgYRRH0tzxEM9S9e+IbggMf+lMf8fVOnVnCj%20X6wxTDMOK60COELo/olSQBHkYW9akX/0cCClaOxTZuPSIopo4nkRXlEYHtiVZBTUAIqGMzS3MgXL%20swiuqx0eWR3O86mDSBmzkjl+YR5mWzNM8bErQSHD6J4mc5loEqaTcZP5AK4sMgpn0jyeko980Qpq%20A52tcCatqqpjWoiGcLlO4Q6wI41fSYgvOQk8M8CkSbc8ixqE8jjqO5XAIB9OOw5nciQNEQru+4kJ%20SggYXKgFipBFA6UDgYmXGRBKi4v3cUBbCZXXEDcLw7fh0YgmLKxSE5L/lkmVkWm7nJAkJESNtMEI%20jwgEPXC+dBOE78oIYhuqZ9s95CgTlRlEVcIdB/Qd28MXPem85qE6HGocn6Ee9MINgjgNnzunAJy2%20famlbtMXGnyIrxk+niiKjsk9n4upOCwrViqnIzO35wOJVmg+BTswj3OSsLMj8pkRwRkVvXsUVBuu%20lHAmwNEeF5kfOCyafOs0UzgLitoKSjsgwVg1vkqJ+xuxvfG4UHOkhVqplsGKlsm4v1M4m8CVlAq5%20WZyYHwSAnJk2MvspJWqIShKRgjBGMfMRh2kRKwKZezwIK9IeeSwBsBAdobMqYkkevTkTTQkqn5Gb%20KGu22VM5aCosfBkz/0S8lUSBCVFkDfXaj5p4PgQEgDEBAFtKuMaZI5QQhF8SEnkbH6iIp7eAgiYE%20sFmqyQm6oFeClPvxPiQkncTiyWyBirk6kEAADpYkwrsZJYsDmwh6ygg5x0SxgkniJ6LUmozyD/94%20vhf8wBPkQYXgmMyZjUNsu7BkSBqspNGwD0Z0k5j5oZsxiNxIClrjnJoirqv6LWhrruDymBE6odLA%20lDwaOvQyCRhsEGHDSC8qDzsJTMYiyIv4LiSZxZGbnA+RDH8TEp1Yw5UEkijoxaGMv7wZvnfimb+Q%20FfmZiEOpSVDwqz27H9iSIlYQG3VpLMzERosYrJw8CX06NTOUi56zTf/X4STxYQi6eril6JMZoZU3%20gzXLE5qYAprqmiWMQkWRwT6bwcHf4D3hQzpdKjkUlI/qQCqaiYq9McW5OL6cKy6esz3tgg2EeIiV%20IA8tATpLWUErQ7rWkI/eYayVc8z4QqbPs5PO6AgxSjf/2DrQTJueeBCmkYv+s6B+OqCOsxtT00Jg%20ISnAM0Jmqauc483ZibST7KzJ04t6xCgUKT0RCyRAkpZcWalE2SMIvTBGGZ4wMhp1pEyPKMttVA3e%20WUSTazkh0U4TUcEXIdASwkuTmLVwij6KFCJCETcd/NAQSZDOa6a5gMAmuo44qyL3OBRkw5NvWpQc%20687fiDsC2b3QKDr/jyBIHcUe0OxJhEgWftOXbxmf4cO3rWjOJdmSr2GjLTufPZtGk7q3lpDCCzGV%209yM1wJAVertTiDAckurIx9sewWO4wLsSEZufXZwJj6igN21To1m5BVSNRoGbIOI97BJSBuwc9/Cy%20wcsqgYEWTFGl83q2kWlI2+sNjywUbUomWCyhWzGhg1DFoZK3odjHiOG94YGP4+hPJKGI7DiIQMCx%20Ng3VreMM6hOlM/GtwFobCj1DTfq+wLAalTw8LEyj/ruWujkU/vu6vKBJsHTSeI2xNEyPPtPQ6POO%20rQjUuTHHaWSx+POQMsTDMiKaUN3R7oQzk1OvToRSf6TPwXiTCpk5/4H5qQukHtDRkvDANuXcNRgC%20HT+BGYdVETu5nJ96I341COQ5tn7FrCNRVdLaSOiZOcDMuoTVVgB4VhVLG/nzOrspQ/Qhw0BghS07%20yWO5LPNBNUuDMUQDorIzVPEDLKa4KCjJt/yByLl5M/ODRlPQAz3UgxNZSUEdsVxMTVDT15z9CIbY%200Vc7CJQpL60QOnAjFDF0lNjgsu4SNUkcD1chE7HTJ7ODWiTpjepxiR8avGLKx2KaOl79ocalFDlx%20jqIohSSqD2OEL1FcpXNDRKmyl7XN1onAs/OpSuxjioFdiEE5lNfQsKkQBGxghVYIhE7KTcr6v7NZ%20Sbqow08LTUsT2P/7qtRL00UNHR8WO7z0gAZouAZWMBtooKgtetabW7CmcairJJ44CgD9MJq15ZHG%20jZgzuxP8TLmVa0TVUr2H0cTPiUDieBA+yNzeUUW9iQ9oNR7hGY4kI5AE8VIS6rmSszUCK4WKuYaK%20eQ7L3SKC3M7qmSEZwo5fMlnM24y1HTntVSiTqJVPKzYamtBcFDtlZCddvAojXJC5iZVJzZu9IQ7k%20baST2LSp0Bi2ADkY4bcYib6/CASyuIayOIsBKtcMtoKtqoorOMoVdSicneAPIhrgSxO1wU8hyjHr%20Eg6YK6YRgo9n0zEO4RAsOb2uGqJPUq8oAIWrYqqkm8Qg+h3UIKf/2TinZN0DVigL5bVcijKW6oIP%2014ilxjXDwHQrA0XikdsMuGKaoTzT2swWKOY3xzC7q6niuolRVnpaLTmPc1TcBSKdZYAOgrsn74OK%20IWLhqkA0qKkrPaA7y0UKtYksFjBGIIm4gXWJOa0MdfNjkeBPo+oqBV6v2imiP7GUQpLVXwM3l+Nf%207+y9jHy2rRBjU4Cu1MnVpKuQNT6dMdZEiowJM7sC5KGoUmggwFzjmUqTCDYr+5DlzEDAYoxKJcRO%20DEkgVrkCPgisco2KH7qIUyiu3lUoS7PXES6QvMEnULhktFALZkzUwAORSyOKMcY/NEPCN4OCBOrQ%20wvm0bfzCFBPn/5B4CI+gI8/ICDtZqTxNvS6WCvCa1mW+IYEhE1GsDwo0KvJKy1pD4xFhT8sSjE+S%20RxIKG9lJ05UToRqqNWUijZp6j0Ns6TbdjAOV5dF1R7e6v3xeasjCNOGUDUrbmgj6n1zdu6cclRIZ%20UkijJBYTynorFdtUDoXDp19BYRf75CShCa34ydkhnkfWD+3lDAChaMy4WyaJ4JVS3bRpOahBnTLR%20NagZD/jlFd9Yz6KgozE1pxqMnlgE4FtJj2qi4ph0lCaLGSiVCmlzMjQpUtTAORYuGtL8opERVbrm%20j5X0nRmxsKac5LwIvF+hvpMKH1L6r3mWHZ/4UomGN6tcVaLo2f9OU0p4JetwgaML7biNy5BHMQra%20BUvija0ELW3MWImMFlVumU6OpcHtRIj/BEzV0bFNYVZHcZjavir4CcgILFMgAo+sgK/kihEvYYw9%204DAy6ceN7L0hsqqrqo5eu4+XkmDoBomOYAm4xr6IW1XNXL22vlAvTLxtjFPDGBOzMZvuyjB7Tc25%20eonIyiCn9adNjkNk2bKisJB3pcZ4kSS4cL/E2CgVhpa4utH/5o/N0EiwMQ3vbBlQzNJJ7o2OHR7h%20o0dKumL8HpMJ5w0uJpna6bnQSabp2ZPk4GabXlYloogsLr6+5G7vVUH34IwjfnGR8DjdbGVIwiiu%20safe7cWXZOr/lrmso9Vdp42xrjMtdPSnfQ47BBdkp1zUb0FGBossT7ubs3sXoplrLg+JuG7bncWi%205PhSk70f+6AdDtlcbCtfQSlT4qHlICYmzfXpG+SiamKImojvlFZF9LKrSNlO5PKSluBXSJcarrvW%20QaeXuFZQqjVHbHEcvDlLv3uXv+s/oB1hd5rbRK1kD+tzxsqY4r2J+iNbRB0tSb00F4tJMm+1hGJo%20M8JRon71oTnEa6Md4qnLPRa3fLRlUUSmjXV0Zv4Sep5y6ZLcxzqdlM2yWTuvKFYQ/pzyJpLbAGw6%20HN1ybIfx8YlRZ98byP2Nudnd2AI8Cvu4FKtQjoXU4yCRHLkQ/4eoCqwO3sdgMHjL7bSG9mn8nl0S%20IlPq9ykp9FhvOWTkqbJ0pRgETPNmdD0RqxsMCjt5w0l+oW9mDb86EjLuOf2cd4iNYmzbdr2pJHOP%20cQ7yCpHPjFiP6wTlWcAZl5jKCsI6bcMUzUjGqEImHCT5d9Ds9QPCEXsDllzhdQYj+wpTEAvNXtYG%20IzI6ardK+k+pCBwbHcs+RyxSREckUxUUxFGPyEzpcZZOuZO7d3e5rvWlHcEsj5nZ4Oz0SJi7icVW%20DQ+C+1OCZWZnEQe6vpUhjHybWwubqziUN3lqEU/Saj5DkT3bCbT1uAh7jHY767vjMxAdWCuQ0CJ0%20yQOCa8qnHP/GIBpYDrKtiK7fMvlYtWVbJdUedxYOU+lzzCU7hk+yVB7zupXCeLvxorpmZkvCXCEq%20qjnsdmCybFuLvrxR5d7d54+4rq2tM7hgb+SM21A5ZJ9JdsO8Hv0fsYKODzabNM/1BghTe/ZAucIC%20SgkWAUwEiAKFIEQWBhWySBiABYs9VwRdMYiQIgtBewQKikLQIMqLGR8+PHgxAAAAUFjERBizYsyc%20Onfy7OnzJ9CgPgMkhGIUY0KkDAOorFiCqMqZUjEipbpC4dOsJa4EEjiQ4MeEYhPu4SNS40SiUATx%20ATXwaEWmJiR2LFiwqliKV77ORPr04MCzHetemZlwL2KDJUr/GLVSE4rQyJInU/6JlfFBFlYOWqR4%200eJfiXcNatwj8XRarAFWbB05cC/GlxUVFhRpaq/Rl3sFej0KhanKk5lnWmHcOUBHjleMe8aokeNJ%20lhO3PsT92yjHmAQrc+/efXFMojETPs5MFfjsxUzpdtxj0lSr16Xrnme6+KHXK1Hm5p0rcQ9baMVG%20liCmGPhWX+tJZRRrK3A1lVMm7GUaC1flpVJhgxVUV18sRGEdTQ9pt8dj3pl4olAK1USTTGKF1Zxs%20wW200R6tHGiba2CBBtVuCH7mGXYj4XbFagEYNRBvA5n344UJCeSRbKf9tkKMFGGWIWp4YTliTAJp%20hyKYYfbE/2IJJpTQYFJUqfeUfYzZ1d5IBnplCiimiFRYbG0WBBZesx1EI1ozEYXZkXtZ0aGa6WU1%20o5pmUpVnU1U9OqlTSRnVF5diarrpTqoBuaRn67ko1l42RuOanAUatWNFMy3XXH/JWfcSQi8mtEKt%20B5lQ63F/5mXRTPt5+mNUo8KIkUclZMopsyayiFF4ygJAlKROQbXeo4tlBJ+NSMopkKBaiYuef362%2015FTEC625kGXQvgotR1+JJFDA0ZZIaWIggdARzdBJhOJzQrcnUE1wQQAldOmd6xxUrlpYDQH8lag%20Rr2+lBVUrsaG7F0U7XqhakdKN9yuc32WK21DugQrSChJGf+bdizaNDDNYVa4LqVOTTrVgmZ9myRB%20fioKnH2iJYhRX2v+au1Bgl1hxWaUapXeVeciil5SGdqFqEQ3sVgz2CcW12rDzG31chS6fmSCtxH3%20lmuyodLa0kfEevZXjE+1N9ppZB8r21ob3VW3lYVB9ObGzx4cNuOU9SvTv1eNd6ZRDqV9KVUMFXUF%20Hwe6N9ubcEF6GLpC40UlU6hHybWarOFLqX21IYgUlaDPB7nXuU/bOO+SRRFTwS0aLHJhPO8YGpYt%20R8HHkCaHLJ2bpllh4WxQgQTFrpyxLNsKm3m08VYzft9cRrgBr/j5vavPnVGPaTuhbxiZTLS46im4%2011n1KnT/f+kPvaYv0ZAWP31VD1uHitqAMvKaiQyoBB/6Sl0AAK31UbA72wHAHpSFnId8aDhVMhuM%20mDKT58BmShgyCWdkpZyVFYk1WnPZ916EoSwdLSQqq17TAGQ+ADimgj6UTPtwB4B9ia6Am+NQEdFD%20Fz7tb3OryiEE00K0iwyGMB18118G17G4/AdPHRriFbQTRgn+SzM/PONPpDUzFUkQJi/RnEpwVBLh%20JAhvDoORq0xWmxmZJi1Uql353HM4GLKQkGnRWwk5o7vgMRKNjgwKeaZ1sCnax0gbKZAglBOFtKkJ%20Y+lx1KA6yZgqwgU4B0APoBZYF8slDksdSl11WOevR9Ky/zKLy8nfaLMWikFncNqTDQgz9kHCoedi%20yOEj50wysldt0GUJEuHLqpe+WlIzMvsSj0zIxCK1lIUtyimdX0KpK2tR61FzsRCbmqI0o2RoLx/i%20UAI3wzpsTrCez/paNfPZqYPtSxAykxYbk6NDOrLQeJ4SjSAHd5zUSKlhqOnYB6XZxpscjI0zmaY+%20MyqUIFalaBvSEAHdFc7DfEUwh9pfpCpEI8NcRmhlAhlUtAUphYVHozatzAXXaL0Zxu1KLMHebxZT%20GBy9zSLrAeZZfqmQ2jkUe3LDHkVvctOpTsZOMXGI7iLJFK89amsipYhJ4lTUdB41K/4rHqQUBDnI%20BJGe2/+sKD6pKtedCCImgvhX8C6KsIrCRCzAUyhIkOQaPkA0l0ZiCROVqJ1/ZWev0wzoXCPbHaQA%20J1ppGo5fGBPW13TQdJNa11nR2kR2johEPZTJaSWrWhMFj41LfckQcRickUmFpy8L6gp6YxqKCpWx%20Y9RJYVYr3MmMkaNvjRZyhyiti2R1mzIr47+Yi8GA6RWbBanJGBlTk+FytzJpi+pEw+tamfFVdxds%207cHOiz5+sWg53X0vs7RqgvAcTK9+xeZg+DXGCYoItfD97xktqsby6jcmhI2JFW65WAAzmGbYfDA/%207zke5wKPutFVYxm32eAND8y19V1vQPG63plxuMQmPjEailOs4hWzuMUufjGMYyzjGdO4xja+MY4f%20GRAAOw==" height="194" width="233" overflow="visible"> </image>
            </svg>
          </div>
        </div>
        <div class="fig"><span class="labelfig">FIGURE 1.&nbsp; </span><span class="textfig">Sample of peanut kernels Criollo or Charapoto variety.</span></div>
        <p><b>Methodology for the determination of length (L)</b>.
          The measurement of this variable was carried out with a WEZU Vernier 
          caliper of 250 mm ± 0.05 mm of error, the measurement comprised the 
          distance between both ends of the peanut (<span class="tooltip"><a href="#f2">Figure 2</a></span>).</p>
        <div id="f2" class="fig">
          <div class="zoom">
            <svg xml:space="preserve" enable-background="new 0 0 350 318.182" viewBox="0 0 350 318.182" height="318.182px" width="350px" y="0px" x="0px"  version="1.1">
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            </svg>
          </div>
        </div>
        <div class="fig"><span class="labelfig">FIGURE 2.&nbsp; </span><span class="textfig">Determination of peanut kernel length.</span></div>
        <p><b>Methodology for the determination of the equatorial diameter (d)</b>.
          The measurement of the equatorial diameter was carried out with the 
          previously described Vernier caliper, taking as a measure the cross 
          section of the kernels (<span class="tooltip"><a href="#f3">Figure 3</a></span>).</p>
        <div id="f3" class="fig">
          <div class="zoom">
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              <image transform="matrix(3.1532 0 0 3.1532 0 0)" 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gDUssR88%20aIHmaFBT+m2DDVB2skJMVxQnSDV0YSgBumgQgkdIOA85CHModJtW4p4gD0LAQw6I0QVWbAD/GKoo%208RGwoIolaLfFjtjABzrQgw14Ygme0EEjGmHjAxja0NkdtCd8QYvIMSEKUZDmE97HDyZqjje98QIb%201HANZdhQGbvaFaitDGqppIsbZoiEl7sQCQJUmACRkDAeTnBmNhOjFepAQRxw0IFWtKIL7wCGPOTx%20gR584AM68EUgxqGCVTj7F5EQARgE0AFafAALmhD0AS4R4xd4ewEvWAChL9EDLfzMAFZgASKJ9a94%20dQMWU10Gpajcnn6gixuQiMUIZNBqAnTBBzmQQR4SkIBZF5cYcGBGMnCwa3e8gxjRSEMAZkeEipNC%20CeRQQi+KwIAheHwIfwh5KhJRBBXY4BeS/7DFB7SACE84ItCCbgS4tYGEmtdcG9pYwCU8gYhzl8EC%20QchkCwzRAoEguOifwxro+AEOcKxhBm+AdSQiEeYwY/ityIUDHHzdig4AgOE4AAYwRkCBTBxibZot%20hyCIIAwoCMPjDHhAERIxuzQgw1QVfwAf/vAAI1wA2raQBxg+QAt5mMMPEgCCLxyxAJrb3OY5X4Ar%20EOELDARNhUEIggsxQS6BMP0Va6DEACQBaxnkgAAECHisB74DOOCDGLCPg+wnAQBguMMR8aCA098r%20Gw/U4gHlKMcfPv6HRPBPEMhIRRpoV4SKq0AFfI+CJFQQCUsMoACpeIXgJtCOJ9RDe1pYvP8rcP54%20JLxAG+G2sSNQqkt4MIIfU6ifIPwQCNKj/v45iHUC+J0EOBADH63gDgAge7JHCAaoCCNQAoXgDf8i%20ZKQgDOVwBuVgfMggJoVAWtOAgS2ALg8Qch44BAzAAH+gAmBwABhABNEgOG6wDG6wMAuzgugwD/Vg%20ABLgctt1fjiXg+gnee8Xf+9Ff/YXCvgXa2c2cFqHD8BAgEoIAABACJ0ACJyQCeHQDZVwBvhTChNY%20RBVYCN+QWjwQHs9gDgowWGAgCXUQIOwAclLQAfJgO8rACIKjgssQhzdjMzfjBsUwDwhgDovnCDY2%20c9qABlwFDoKQCpJwiAQQCkIYZj4gAxf/8HdVgAcJIAULN4AEOAmEAAB94AAAEA9cCA7dEA43cAbh%20UAmlQAVTQAWpVQLUUAJy0Ir3oAUH0AEccARLcAQgoApHUAEkUAGBMIYqUATh4SPKMAXhoQzL8GlT%20sBU00A7OqDALE4MJlT3mIB6ZIAikoA+IuA6hEGbB9QtJcAFVYAJ4AAcRgAK0Fwe0Nwm0x4QO4ADm%20oGVUIA6TJAw3YIoTMAWvsIpy4IqkZQ6EgAiEVQHVYAv7sA+2UAG0AAJLgFcJQASGAAHiUQJTcFri%20EQYLVmkLcTACNTNxuDD8IIiNYQL6EAqDsA57sAc54ANdMFw7cAHMYQO9oA6NsI7sOAvs/9gHk7CJ%20nRAB10EFauMBbIAKqOAFmJAJJUAeylAC2zAGiHAAiMAFBFkNVFkBUmkLtkACMlYDAvAGgRAJQmAC%20D0B3zVdxxUd3osRFP4BBkwQKarAFScMPK8APNyAI5CACe4CSe1BhPrBWMHkBNiAFGzcCfaCJnAgA%20s4CTibmJhBACK/AKrxAqoNA73GCUSDkeqHUFZMCHl6AAJMAFoDmVBUkCSwBYJOBiG6ADOtADtFAA%20YACWUvB8Y0kESQQiNyBl29ANfCMO28APbsAPbLAGJ4CXKGkNt3ALLYkHMJkAJrADKvAAHZBzDjAL%20AHCTN9kH2DkCZkcFkTkBSwQOlYAKf//hMdxQCUpgD1HgBwUAmiSgARzAAXylCu0JDTjQCCjgmQrw%20nrlYYjqwBBxAAgV5kkDnAjfAQBY0Ck8lDl5wA/wgB8ApCFGAl3tgDcbpAxewVr+wHFKQAL0gBY3g%20AJuImA5gnYkJovHwCtFwCJnwCvABDjcACyxVmwrBDTcwA0YQBZFADsPHAPQwDOywCtYwCIPABbio%20CRugAbR4BHJGXe7JASDwpLq4BJRXeeYAD3agFlvAm2VzA/8wFNsgDUxgD3lwnLdgoWdVBzAAA6uQ%20BOOgBH6AnYkZp+wIACC6idrgB2nwAHqnfGnQp/BnjP1wK2SjBkPDAnawO/myDScxHi3/gAqCAAVL%20oADW1gEhtQA6gAJLAAJM+p4cIAae6qm6WGIcUAP7kAAdSARdSjjOwARfcAtjegu/daaroKZVYATj%20MADTGaeKuZPYiZ1IEA+CoKd61wDE2gAlYDUlgAkT8BU0YAFjkAVj4Ep7pKj/IB5yQDiVMA4foAAf%20gAFY4HgL0AEkwAEdoAEkcK4kgA3quq4ZoADuCQJYkGMCIANd2g8/MAOx8AWvGqt10K9pOo4poAK0%20gAS6upibuIkgigSxsAbC+gDEmgaHAAFiAQHLKhLPIAvPMAdBsA3w0RcPUa3h8X7eIAy1sK3y0AGq%208AIOgH6agAVPyqkcAA0akAE0W7Pq/woN55oB8KkKRREGP8AClXEBsPoLZwUD/XoHCbAKVTAO5KAD%20BFuws3Cw7+gALxACgtAAfPBSDSBxawABIhEu/YAJamAFF3sForQNNOCxnjceE4AKHvABnlB4KKAD%203nYAGuCZJJABGiCzfAsNNLuu6iqVVokNCsArR7kLZXACv/B3v4CmaQoDvwAHNiAE5TAA2vCOBdsH%20UTu1SOAIkZUKqfBSyocMvGFv5NIOzwCtzXAWXKEMGwGyDUqxaxAO8uAJWKBnIICLJCAPIOCunKoB%20wAsNfpsB6lqzpnC855C8PHKUFmAJxPUL0Pu4agoDNpAPQjADnoAEmLurvZqwDiABr/8QAVmbtcp3%20CK+gqMYgFhMQBLIwB1mgBl7bD4ZANlMGu9cqfzMQCfogAChwbS62BP7ppO8JvHs7vDRrCn57vMcb%20DMFAAd8wAciQAvZAXAnwCwSXpjuwAzYAB1VACRJAc9t7nZuovUjgCouQBg8oMm2QBlTQwhwLHxDg%20DBYgC80wBv1gDEmpDBr5sRfyD/1wA0RZCeGACg0QDREQA1/wBgMgDxhgbfAKwLtLAgqgAO1KvKYg%20BgwcDKYgCv4gCrDwBV9AwQSHpquQwTswXLWQvUhwuYnJjryKsEjQCYUQAS41MtOyBpCZCV6wRDTA%20AnPwx5zXDyWgw65bv+KBBstgDNv/UJckw1JrcAipIBt0lwgbGm3VUAMc8AFztld8FQxikAELHAyA%20wIUxYAlRUAVCAJPKBY4a3AVSMANMUHOOcLCT0MaTAKIOUHMhQAEeIBvCUAnjtA3gQAU06hdllLpq%200AJJyQ+oxR4cQ799sYqohS5jkgnGoAfH4AxBkAJkIAAYcG23+J+gmQGyoHss4LyovANJ8AswYALP%20ZwJFEAPj0ANrbACOQLDVmZN0msuEIAqHMC1VKAjjdANUsA29gwp0cLEYSwMSGR7NPBYsMaPcIM2p%20Rc2F0HRok3wPoAIdegH7wAVxpgrnAA/RsAaA8AVVYAPrbFwEUAC00AFeUgAD8AJI/9ADc0AI01nL%20hrkACWsOyAAJpFALpdAGpcANqDABXLgyZuCsVvC+XkBbDh0eSHIQJEHRVl1aK7DMWlYIZncKIfAO%20NdAJAxAN4MACIRADJlAF40iSS4BzIqUD96wNCCALl6u5I3rL2MmJVgB6JcMHjbEN31AI/2OodiAL%20Y6AQE7nMUx0sI3HVV/1fFckDFHBeyIAMDcAMMpAOkw0HIWADWdILqxAJb6AAjXB+L3AJC4AEnpAL%20gEAISGCd7PgCm3gAEiAA01EGRmCKSvMVyvB0drALdsACWyASUc3MJcDYBhEeEuId6mEhy6gjVGBv%20A0ABhxACIYDKSZAPezBtLn1d4f9Gc/CQCy0ADNp7k1Sb1wtACOiXc76wC+WgNPOLCZWQAty0Cy6w%20DV9h3A593CyR3CG53LmhHhRNHt/ACTzwCEX8BSEQjlWQDxcgAgJQADVACz2wXdqgA87DD81Apzj5%20jtgp2yKFftvWCLtwBvTTAvwAAX70R3QAH19xrEmJWs881eMRL9Vy4zh+4wxhb1wjEAtzM7kwAocQ%20ATIAV3lgA1VwC29QA4RFbB/gCK5QDzeDZIowCwS7kwCgsjxtY66gBd2qB6LYDf3AD+hABhKcAm3w%20ZOlrWjFeWjN+EgNR48WS43QeDjsO5wT2kbmwCKIQDY+A0ipwAoEQCBDO5CjQmlr/gABKswWAbQgG%20cAk053gv0K0LwJrygAVvEHJlmQiUMA9ZIAufIENxESeLQAFIDAgaHAmDXug1UAMooEsskFT0Iw79%204AToUA/moAVaAAQIIA1vELfyIAAfIAQhR3cP0AtG8MdPsAw9IhhxQgdU4Adf0Au9YAMiMOhvAAYF%20sO0CAAT2wBfPMwFeKxCbIAdDIdhaUG4YMGxqlwb5AgmAMAey8ASGQG+jHiQViAECsAgqIAVvIAmB%20kO3TJgA9EwQ06mS0PgFERxBUYAeXgAi0sD1+QARcGwFjYAdz0AzFgCZlESdFhgU9UAB5YAJTJwID%20cPImlA5lwOj1dDYbIik6wgnp/6ADGIACEoABkFCB4CAKzaALusAL9/AjoEM6WBEnDSAIKIBjBXAC%20NhBtA/AGb5AOA8AE1yA1jNQomCDq/zAN6Y4Buw4EJd10T+DzutAMy3AmGGk6954haRAOb7CaHzAA%205HAgTBALjgMPvMBKChG/gdoCE4AumCADPQDTNS8DFccHkGAFVoBQ0zAQPQ4ZcWI7sZBsS0ALgRAF%20ZfAICMAE6aAL93A228BF9jYuJfENNeAIL13zY6kCFuAHnT8GzcDfpmNHa68ey1cGntAIEE8LZWAP%20fmAAC8ULJeASZ4G226AGMoWLwKsABEkCqkDzkmDmDfCxtAERssEHsfCUjoABA/8wUXNgBQgQ+y7h%20tcY/Ct1QBpoAAuiqAUvQCCAgD28g7ZCQBt5Q/RFxb8hwKD3gCEAAELG+kIH3pESJfwkV9uv3Y9u2%20CQ8/YdCkAdtFaEc01qgmglIAQdwUjiRZ0uRJlClVfhP1ituaBn56uMKQRRYCgytKMtwmbtuohxY8%20acKWwaICaBVqKJB3i4igVK9UTqValeqKFfyUsdm2RhYQR4jgsbiWid/Oft0cbkP1A4EnDRW4WARx%20hIQGHRhmrCnEL4xVwIGtZuXHj8Yobi8N9DBH6SFCkgzXbrthRgIiLhVMqTqiSRMHEFj0pWkwhd8U%20walVl1xxsDC4G9sqCfLAwhnRKm5eCo9k2K0nWxa0tJDgrIpDBy4ihMRY861Eazmrpatu7WYZv5/b%20tqwRJCwxt227F/Z7yJWbHUQY7nIZVGcYgz9PD4k66AbydPxV/e3nvx8whL/+WeaKeWSZBpcp/EnI%20Hyfyc5Cq/iKU8L8A//FHmWVaAFAhBh/0ECUJQ/TvQ38q/PDEBUWcMDAGIYDACRNRlJEkFVcEbMSR%20SlRwxhlrjBC/MMJwAkYee/SRv9WEBDAMHIs88UgkrQqSyZRKdNLDEK/Ucksuu/TySzDDFPPDgAAA%20Ow==" height="92" width="111" overflow="visible"> </image>
            </svg>
          </div>
        </div>
        <div class="fig"><span class="labelfig">FIGURE 3.&nbsp; </span><span class="textfig">Determination of the equatorial diameter of the peanut kernels.</span></div>
        <p><b>Methodology for the determination of mass (m)</b>.
          The mass of the peanuts was determined on an Ohaus Pionner precision 
          balance model PA512 510 g X 0.01 g, 180 mm plate, with a capacity of 510
          g and a precision of 0,001 g. The precision balance is shown (<span class="tooltip"><a href="#f4">Figure 4</a></span>).</p>
        <div id="f4" class="fig">
          <div class="zoom">
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              <image transform="matrix(2.5547 0 0 2.5547 0 0)" 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UQEPlqy0%20/GPz0HKhiSTuTBtgRNtOcM8epCBxeqtsNe9iP0oc7xFquIMsbNCKGhzFBL/dAXtBotpQ5oj/ZzQG%20ayYqUAAZKGEPe0iCOTAA2JcCV6YSFXBxkdwuAzfvZgmhWQQf8TcnyKADwHDEA0qRAWtpGS8w2UlF%20exKYsCA0ATjYGovTGwlw8LU5mQXJe2nSxzjTIhOoWIENHEEKR3xBvnjVwG9p4A2YaGC4R06noZ+G%206DDB7ZBocYEMQBHpB2xBAhSSl1NIopv/rEY8UbpDZ2Uhg1Z4gwZnkAYspCEKb5j7xZq9GUdl+GaX%20yNcNGsgEAwIwCA6Qoq48uGtLd93rQA930IVWMrFl9qyMvOAgKDgB9mDhiA6YNy0bCQpPyrOrH7Ch%20QZQAgBpeoIYGtOIEDThD294hDBcIgAah/ynNYk5FLxm6YctIWQaf/eCMEBTgAUrIrw5kLtWYhhWs%20gB00oXUmcMcsIDd3WUzlXrCDhEBDGNLgGDSQwTSKjORJ+dJVsoyAjMNkBNpWlUUrWiGMM5gdHCkw%20ARDWUwPM7BFvaskLfD0icwcgAwYKaAPDSSGHnfPZAXvl9VFgIujU2m45SmzMC21Cm8WgqWYd6AA0%20gKEHGzzlJ26ogb7+VANkmCCqYXVIKRogDFCMIwEeb4UTJngFRrBhUsnwW8oR817U9AQZy1gDoZwx%20jTbsmBRJmIXMaYFm4LK0NzW9KU7vVnQNsURBP+kI+hYwA2G8A9KrdMAMZIOeH5BHMExpiv8GqOCt%20dwwCGDIYBydcEOHCbT9gefBJRwrzkMaohV7vXcYyXAMDEEjjAZawB9HwBzx3YsAFYGAFdDwjVbjT%20fHmDIsnwcgdxBY8AAEbwAtLQADaAfshAJ6oxG0LhRykgCqUHDSdwAu9gAylECXegSTPwA49yCC6z%20ANuSGe+CYU1BExuhf3/iBwUQAI5gCY7AB2vAczB1gGDFZzWlWgzYgIlnSynCHjOAE8WRJnmwAO9Q%20C1QGCynQHyRRWcdmPqUHCqAgDLfgBE7QACgECtp2Aq3wekySDNDEEKrSACcADatDA56RAtl1JQfk%20ADyxBmvQeRWwAr4QhPqVe+6ga2ezBUX/tlqaNS0KZH/I5TBU8Bps4An5AoOH8B6Q8g4N8A6OJAwC%20IDce0hnm4wSldwu1IApfBA7C0AHWJwM40HGtAA1u4Ak/AASMADwzQAk+gDXjgAMdAApm5wSsKEaR%204AT9ozYosAMAoA7mIFGC4AsskEpmMAl/MAstVj7/1V+RqA6MYW4OU4mWqCd+4glLMgAzsAB4skgy%20cE+gUIoMA1RnAArQUIxOUGq3cAvgAA6RUAvj0ACgIAuPkABjdgK5QAm/yAmM4AktcgfvAA0uQAmU%20kAsM1BioeFVrswXVUA0AUASngATX2GNC0AmmYAq/JQqvgB95tV4UYW4yWY4D1xg7wCRl/zAARpAJ%20hqCTDPAIudAM4/AFt0BdNpAAuYAD73AGsoADIQcIT8BxkfAETxAJYZSGKHgCRWQBW/MClGBGPsAJ%20DuAJnmABIvAE++MCLsAJnME3lNA+3GIbtMEJlIAIDmAB0BAKcuA5cjAM9xh5BSAN0tAG0+AFr/AK%20JICYYVAEdEAMjnkVRcCHZ+ENoUEH3lAEFpACkAES5YIVofEPOTkAhpAJOVAEv2AATzAOwmADcrAK%20lPcAg3ACxNgATjAOn3VVByUApRAJZ1B6ktc2i/R0MiAMT3AFFmkCVDB5Z/ACCdAZd8AQb3kFiPMQ%20nmFAhSEmxECXd5CXj7UHNtANnJALDP8gBiIwDZcwDdOgAApwCR1QAG0gDSsgA0HQBnjYP7UQCS1p%20AaVABd6wAUVQCnxYJljRn6XwCCTwD7t4MCkQBrUwCLDwWOiQX3IwaxygBw8wDh9wBp91UCiQAGp5%20JssoDJpkA7AwYrHYAT0Acq3HCXfwBlwjAlcQPBaQC+8xFu8BMvvTQdNJBYxJCQnnWHvAASfQDT5w%20B3TgA2JAAowZBgxQBGHgBWFAAmIQApcQmDYwCIOwgcAADIMgA1tzArJ4BrXgBZFAKmFgQA9RCltg%20AaXFSI7ABYlwDd5kCT70SI5koQflBLfpAglwJi9QC2nYARG2gbH5CJZSCjbwDvLkoxz/ZwFfqQuM%20wJZX4AOJFBFm8qHb4REJQQwxQAlqEHU75ggi0A2HVAoJ4AWAsJiLiQiIwACA4AVKSgeyWgRFABou%20AKi18AINQJCD2gPkJZg28KUnOAumcAt6MAHpgKwIcA0I4AjXkA57oAShcI2eUwsf8ARiwHFqqQZP%20UJtQd342cAKg0Fk7EDwoEK5UQAmc4Khu8JYsiCZ3QCbocqlFBB9NURiFwQiQ+gGs+VgPMAye4AYL%20EAMJoACpWgQkEAYVQAwk4AAV8KSvKgYGEAZhgAJSKgYuEAaOCQAVEAMxUAGc8AoJ8ApOcAmX0ADT%200AH9eAaWMA9jMAbzELPWoATPig6k/7ClD7AE3PMEfGpVL/AEDSAL0uClWzOu6FMLDfACaQgM7/AC%20fRMWC3YHj/AEj+ADqVO11ckVsgM4MPGVOOEMzqALtRAKD/BYq+AOzaCuMRAGYqCxiEAMdFABFcAA%20DCAIJJCwcYsI2eoFYiAGj/AKLkAHTmoAYlALCiAMr6CqBvAIhUsC1XALoHANY3AO8zABLjsGpPCs%20fAcLDvqmb9BZ3OoEIiC6+JiowlALmYEukTAOTuACAblsOOADlHA1apAmnTWjA5QAnQkAXnsTJNGL%20+cofYTu2ZcsB79ANw9AZYSCyicuYRUC3DEAMFYAIOTC3YpCqCWAACfC8YUC4H4CxDP/gAz7AAHyr%20BgYQvk8acmSIAPNgDS/7vnuwrDa7SrCwBNvwAhnaAMTYlEELDSPUKqNyVaMSCS6gitF1Bs2JAj6Q%20C1jjAgU1QW+5KrqTGu7BFoNxHIwQtk9AtjsGDTxwB2/pA0/gBU3KqcTAAItJt40ptwubvS7AADHw%20tndQAYLbpAzgAmLgA6hZCwagww0ACOCwCZtACtZgDenwvmOAUs+aSpzLAdIgAmeAA7JggpEnC0/g%20A6XUGa7bWaRilQUMDdDQAB9wLgXlwHfgAqClwPDhtTihPK0lATHwAz6AA8AAC3vwAC/wDc3AorQa%20BoKbt6z6sAm7sK/gBQkwnlPAAIf/XAgMsLDEwMgJIAYHAAUT6wVVkACfkAAJAAqmAAvui8Qvaw17%20kA7XQAr4NAiVN8XvIA0nIAshR5v5q6FXVURV0cC1IAzMqAYLTAV3cCalsj+6exGaqhAJJivUQQcz%20oAaTt5dyUA7D8A25YKoJQAIxQAcoXATTiwiNubwMoM21wAAfYACcmgOM8At3kABTYL5T8AZoIAYJ%20gAk4AAIK8AGYAAgSwAHXwEOXi8SjHKGO0AOoPC6ygIJWzHEb9wQ0gCZ+ikjdEZ0vUHYNsJZfyQhv%20SQU+4CEWcAcWzSZuAgC/cxeFIQFf6QM5IAIbIwf/PAzA7FmvSsMozABxy8IkYJhw/ysGhTAFBvAJ%20n1AIv1AIhRAGU5DIOh0GB4AJOG0AQY0Jv7AN25A990QOiTABRpwOXwAL0QAHJUpdsNAAT/AGYnwm%20tWuq5uIZG+AAQFAD6QEhT/AObI0DkcChZ5ILVpsLUHsFReHRspItCoEdAoEIjMBtcoDSNvANw2AK%20vfwEgPABTBrTJ7yYJGAAM12YdPAJOM0ABpDTOi0ImHAAB4DTglAFVXAAYfAJgnDZYaAH4xAGK8AC%20rI0EAcDaxtsKMsDBDPcAXN2tzIlQPXsxq8t0NaCTuygBFiAMMiANHdAAtSACu7rcOIADq9enLiAR%208eMGucJ4IA0TziBlXYNzrfANs/8wDFeQC9lbBEmKzSdsALD6CpANCJegAAwA2p/wC58QBj5dCPM9%20BWiABpggD5/dCI0ABVBQBQZwAIYADUtw4PAADwQAD0sAD/jUCqEQCpKmPg8gC8LQ3E6gBryMNWrw%20RQLcM7JhAvwDCigICiLAcT9rlX8qunp6Vd4SecVYdk6wKmwSTTPACDGgOXJQtnCg0sNwBxaQAH4s%20BuqdmH37Cm3LoLWA5ArQCGhQCIxQCIIgD5VN2kH9CYyw2VWgAPZQBVMgDwrAAnagByyQ4EswBFnA%20BVmQBXrAwZJ2fsZ7hycoAkCemmpAnCiwAEDAJEZQUA1QjGAscmfwAZHwAQ5cChT//R7swglTmAFU%208Aj3CA1sfYIx3gB966WBbduTgALDgDXfS+RI7gVjmrhiQLenYJhioABoYA8GIOWbbQ9OruUHIAiF%20YA9TIAhTjutT8Al2kOBcYAd2sA3APgTBngWD8AByQAAP8KB2EAqsLAOJGpXNjTVUYAL78gMAUAug%20sKvj4ALjEHkZnnK5EBFq+aG65A4+gEMO8JYLVlC8eaLQAAJd2gOB3e3f4A7xVAuAAAjqbQCFnKTj%20+QpN6gUdMA1ADeAH4OW5TrfysNmdjQk6jQaNUAWYUAUgAA92MARDsA0ar/E9xPEEEABLkOlzJAdT%207JTKjQMK8AQGsACH8A95kAGQ/34GZ2h2ZvcCW6DJd3AHRVqknPABOy9hJ4iUCDUOuXAHdA1aCXBQ%20PiDkXhAKq5AEjmAGQmAKMzAATWAIRqALdKAM/M0NiFAE1aADQuAP/vAM2FAP9YAGISAO3PDeb/AB%20OBAF6GwPaCAO4hACCuAFU2DJIQACbVAFGh/sQ4AAhm/4a24HS0AAWUDvE+oIchC0TSkCb9C2lOAM%20A8AGJlAKqngG/2g+vRkJiyO+C1ykO58LYfYBjmD4iUAOz6DLlMAIfJoAoPUGIvABavAGXnAJUL8K%20AvgHQLAiWI8eeUABFGAITeAH3lANs9AJnRAF+rAP+xDf2qAK3JAJnyACzf0Mkv9wAGhwAOLADMxg%20AAowAtOw2QowDQaAABqfCInA/oWP5vCQBQSQBgRgA1CvY5EvxSIAEGp8xMhkqIyDK4/GnWHopMGL%20SKA6RELxKMFFjBfvqMkl6QGCROkQvHlBqUyZOx8+JHjTAccbEQ2mrVjVI8keIR6sDBjQxNChPFYI%20ERrQAgYtGnwmlRAipEGjEMyKvAIEqNYHNS7GValizx4aNJg+napyKgSIEKgwJWK7bgg8eHayZIG7%20BAk2ECdkyAglx1GDcR/uUJrhzBmjHAzP1HrxYlwDYU6cgILWwMUVjXd8bM6VQGCCVj1ChRrE6QOj%20k4yeXMRxQsQ4WSIuIbFhZtX/Hh06ezYxkuyHUEI/WrRogswUH+ROR2gL0aYWiTAVYqjBkSvMFEwH%206m03iybEiBVtFIRIhGBbFgIBAhBAkoYACyS+poGQFU2GHL8NSi1gBOQwMTUAGWdAEQo0sAEEW7FB%20llxcyAyjOxx0AaYPXLjjihc8cWYAT9SwQARpoFHDiYmmgcWGVcxw5A8PCPlnACaY+OefPPjRyYom%20cmxhAEP46cYcL7TRRpRqqhHFhUdI8EOQAxqBogpMqmjkF1QEYaCCX15p5BS7VvCyjQLaCKCAAEYA%20b4QgxunAhh7yc2AGNyjp7AkFcBjnjSdgKnBAWWTpIBQOHoDmDawwUkOwOxJw/0EeFxxMoJYr/nGm%20DBOeaGAQWDpwQQRQPjDRhi/MMIMHnV7MpIYB/iHEg0A8YIONJoZrogxCysDRKHV0AKeaGah4ghhM%20FBihDSiwAwEqTAxApQIDQDgAG3vqwSaIFQqAYgUogqjigBMUmGaYcr6474EO3OCECheecOIMBZyQ%20pQFCJXnjmWcakAWaVh7YZhs9BpEBGhHUSCBRgV2Q5FBCX6hlhn/Y+OcSYB7Qg1yFnXhihBOlUSKJ%20G2E0bEYrDDGkVQ88MAQGGCKIgIkmktliEwz+uEUYb1AhoQJUUDkFBBHuiEKWAhSYggFBTjnFAAWo%20DSKINpQGYYoRtj0humbcOf8BGjkeeEcCiNZ1oqpa5I2pwGcKxEGWfO1AACQEyHngXxwaCPiNuPvU%20r5QZHDjkH0eG2JfcWiJ5BJATWACVFI6tsIINllOdMcaSPeAhxl6IaCeCJv5RZxNSZrHCgQw0CEEb%20QVA5oI0TDnijFQXaaGOas0aAPYB9CkDCnhXSWGGQRj5gwIgBgLii6nekAaaHHlA4oZQzOnjFiUvE%20iK3sZ+SVm14RWpHDkmtASmed8rbhgIWsl+CAA0ck5iIBTjz5gZxruHBEGsaeqOUJXx4AZpUvclI8%20mUw0gScvmkM7VBAIW9iCArw4QgPBkIoPQAACTCgDy3LkB+ZoYxpeoBsO1FD/gGmcYhreAYEXFJCG%20EaDBTCyAzyAOQAlGOIMNzphBM5pxizO0AhiOkMETruaEaQjDC5fAQYHuFRsDlU0WMiAAOUDClkSs%20A3xQpGJboHEFT+hCD9t4gA06cJX7fSB/+/vCJEpGCCM0bkb/WAQRlGELfkBgDmCAxD3uAYYuLEEJ%20SkBFBAzRBCYQpwl+eIW3CiQJH0zhAGFQQCNyhoYRFgAb9bDHCBQABUMYgRN32Ns/DhGLWHQjFhIA%20wCNokIIzCO4SZ/BCB94lgmd8wHrPGNAb5oUvR3BhCAi4RhS7tzZgri0kMsiFJ2LwgB6cQBZ3siVW%20fNGD/SWBRR6IxQ/+6Dgr/1SCF/qwxS52QY973KAOkAADFlJkBnyEoxfHCGQgB8CGBaDgBQdIQA5C%20oK0QFMAAggBh7ZhmpkYwwBCOm9EhZlCDZQAhFsmY0Q8c8CIAVAAAryjCC2ByL2jIoogNiNuAyiaJ%20P/mFHJbYBknRMYQhoGMbbtODLDgxA060QgQJg0nCfBGAUICKVIFYBk9yNKM88IIXyvDmLrpwjzrc%20ABJxwEUrvvAFXIQDHwjAxXAG2LAFhIEBMahCAKYhiBCE4AAGYEIBKOm6NLCgAhv6xw8GQAiE5gEI%20y2iGCZIxgEO86kU8cUATdDEDINTAATtwgcLOIAyJgEIYLyHbG6CArxO0Qv8aMpBGK6DRgWd0IAp3%20UAYnqncweX32Db6wgQxWEY2S8QMIe83cAMrQi17sggIUGAVSk6qJLoRiFavAAxg0oQlW4CJGzmhG%20LBT3g0xwQxAGMFMIBPEKNFSgAmYdQQDANIiBlkEALnCAJ+jKBlC6IQ954AkbbECD3bTAYeYyAVB1%20AborlKKwkYhEn4qIFUmUbaZYWZQaJPFfgd0hv6L9ryREgARgSGMVfJAcD2LBWqBWggiypUA2wnmD%20G2gCCwGg7CaOkI98sKIXTPjjeI3Lkxx0ZT4gQAUiQBCEEdSjDWlNQyNWkIOX1sAds0CBKWZRjRSY%20IwV5qMFdawCMRxiBFsn/OEQy8rCBdzhCD7B4BI0GkAc2GNQNbtAFJXyghmecrQNvqKVKYFK9z/6X%20XgWWRBQkIQsk9AAONjAjD3iwEwFeOQ//iIArVECBCIChDkmFRG6TYAY8GAMSdVREO0isC52U7EUw%20EMc0tqSsHEzDF4IQRD0OMAIWBIEFHaCDBR5jilKYwhS3EEU5buGGLaTADclwAF6RMYBb12BG77DG%20PDggVyfz5Mo/cMYPymAIT8wgBzHIxUZsactxtPmzUHDzM6Lg5ja/OQ09OMMXOiG5QFghD39s655V%20MAcVnDsfg1ZqFwKQhCTgQQtHuMeH2zEHg5DKCoGAVRNggAltMRcECgDB/wjEcIkA9GAFHDgHMGIA%20gBxAwwavEMM0miKESUxCCMiZhD+EsJJcIIIRhzACUEAxATd0ckYD+IFerfADI8TCE7EIRHACwYNu%20xGwWCYgCwvQrCawcKgGS0IsMnNADALh1r8IWtgRVwAQiHGHQkNAEAQ6NaCkE4wYfnsMAJFiyHAnw%20H2W4ZxCmcYBCoKIR9iicC0igB2tMwAZeYIALFCAGuxeh40LwR8ej0IlvRGESTxBBn1b5CCfUQAOw%204IkRYEVQGok7D4SYPCH4HYhAxIIfPFiGLhjBCHdw4go+uMNjDOSYyZ6hFO+YwSF+sHSmex0C/KBA%201OvQj0IjAd5mUELWb/9wj3zMoQwQ8ADxw56qMnxiPmbCBAPsYYACQAMEiZjHNsQgnjDkAhABaEQM%20FFCFEEBpCl7wghhecf5XhDUEXnCDCaDxAgAI4wqcMIEu8soTmK9R/239AeWHYnn3+QFP0BBn6AZn%20oIRvSJQEEIG9UJd38ASGgj2mu6uTYaBxOoJyMoZBwAMpyLpgwMA5aIJY8IA88AABKoN/EAo/UIBL%20EJYUQgN7kKJ10AMQaIU2GIRBIAAb+AVOAIRCEIMDOAUSEAQSMIBT8AISIIEiQIX0C4FTKAIAuKxk%20MIFS2AAScAEUsIAYcIAtA4ImMwKlS0HFEUPFcR8VqBUB9IQycAYNAYL/ZPMBHECB4hkvCWS61zOE%20CIgDRegH3GMqJFAPFvDAI4gDfBtBEuwJkLGCHAgTEkCDFQgCEMAGAsiBKWgEMmkDNECCILADAnCG%20X8CELHkFL5iGaXiFJBSFV4g1UbgFVssEXfCCQciBCkCBHDCBGLAAA0iSMCgCBmCAIiCGGHADZwAe%208oI8Y0PBk2g5I3CfMghAIDABNoiEJ3iRhom9ASoZzHMGVcCFLgiHLtiwVtiEHuCAYPjAOICB4WCD%208SoD1yqDkhkAE2IATJgGe6iCEcgEeWCBYYECFUqDfViCRICHEdgHeXgFBmhCUzw/ElAHddgCUSAS%20ErAAMbCBIiCBBCAG/zrIADfIBDdABIykA17sxSLwATpYgAzgwhrwBPLav7FDwTVKtmR7PTbwBCuz%20RmGjJsz7swhYhHYgglRggSWQgx5wBAw7Al5AR+IYr3a0gpJxBi9oA1/QxEZYmnoIggKwBxYiEwLI%20AiQggPNojw64hUhgCBKgASdgSHPIlRJYSy+oAEaIgRyoBRYgB8PpAEBQgyuRxQrgBpxBBQYIA8D0%20RWB0gP5wQzYIQyxbuTVKTGpMFZscAKaUoAT6MwqYgwigAHnoADNAgHpTBCKwoPGqlZMQwwGoAEC4%20hAIQAaQpgEesh7QKADQoAKBcAWPIAjtgCz1wBEcIlHe4BFD4zVuYBP8dKAEd0AFRMIAniAED8IEO%206AEC4ABy2IYhIAdYaIOjQYVf8AM/QAREqACM5MVS8EUUKIUrWIBZU7o94793+ofV+geGckybjEwJ%20goA/ywYsUIU5+AVGWAM+0IR78EyrujLRREHFgUcFqIAwgIJ6DALdEZP2WIFiGIElIICtlIshwIch%20sAYyIANWgIcuMAZjKIYqQINyMAUhAIQpCAMf+AQfKIQYiIEKkIcGYE0W0AMkgAc9gIclSAMFuBJi%20KAIgDVIAuAILKIVSsIANuIL6czKW5ImV3Cv944nhII6xowBn6IIuYAUwwAUsuMwIGIVscIUduZEB%20ZUceyYEO6IAcKAT/ocmEIMAGOC0GMtGduFCbt4gLBKAGa9DQDSWDMSCDCUAAPWgFOPCBX8iETECE%20QvjLBGCAFkWEZbsDLxE1LuACX3BCEmAAOpAujNyADaACUAXVHcjCDVgAB9CFGgCK/buyF8mDH0jP%20f5jSzFnDOcDSOOiDcDgGbpiDypwDJrgyzsvJkzDTAaADJ1AABSgAGagW+CiTffiFHPiFAqBQoFyC%20JciCELsAbd3WC+hTb52HCdgGFiiAKSgEP8iENf0EorESDeAG7SyaZZHFInCBV3ABraKCHdgAAfhU%20C7AAKrCALUCBLNwBAcgAE5gBI3jSNdIzKT0+VQkEZ2AHGODSRUCD/xlIN0JQnAbjB35IN3b8KU6w%20gDuQBRBQgykAgTWVB3lgAHnYB2xQjwLgin2oAmzgxj5gBUVgBWqgBm7t0zGYh3kYA6EF13VYAn38%20BMTIgUxYElMUBG4gBopTQmK4ApBkgBTwV1At0i0AAAGwABSgARTYAq8dzx2gv5R81Sj9gVgZjoEa%20ijJAGRhgh0XghjLo2KGIHA/gWI8tgxz5ATHgqBNoBGJghEIAEyj4AHmYAigYgUGAMTQBAaT90i7o%20g51lBZ3l2T6Nu3WYgAmwhnPY0177WWtYBzvQRyHUzgrwBmIAzFIIAyR5BBcohRRIgS2oXdulAdyt%203dlNgVJAASRplP8sLE9dAJ41kqBWDYT5hIAc4REJqjnJc5xASDcVOAlE5IQzCJgPqIIPAATXQZ0C%20WJo2eIMDeAYoAIQDgIICMAbYwoJwuFnL7QP4naoo6lzO3dxeA9pzyF+gnYdzWIcsgIUAuAQ6kABG%20cABSKlIkpd3apQHbNSUGtt0tgF2B9d1HaIwXwMINMNgZMF6QmU8P6Al2/LqM3Qn8KwPpPYkc8YQE%20AAVAuIMDc4QVcIMiAASJs4ET0A+QjIHMoYMOkIMvuJcAAFEt0IJi0IbLCoU9IAUCgIcnkqIJkMHO%20Bd3O3V9rWJspgwYXAIBvuAIqiLVYU+Avnt0toIFHqGAJ7l3fbQz/dbmfRzCFTviDOYBbjV2DKTUE%20HgiEPNCRtW0BE8ZYEv6BSBABH9gkNBiEFSABBYAGaVgBabgEF7gEi3SCWjAAEkCBTrg2H+i0YkiF%20IXYPGYgGPtAB1kwDUiYALkCAuPNc0D0H/k2HdPhcz/3ZcxAJPQCGE4g1b8jlLsZdXs7dLejdwmoM%202C3jRnndF1jLeIiHY2AHZOAB41tbQuAHPNvjJpDeMzTTGaCsD8ABF8iBBggCX2gaECiEaHWGYxk4%20eRgBLEGDNkCCLakHL4CGSwABUCiFE4gsoGGBNICCRhiTSoQH6ZQiBACfVJ7lCYDlz2VloH3iISCA%20IFAAQSgERKAS/yM8GgPosXJoY1OgAReoBlOgL1FQNVNoFDIWBXA46VOSACCAVYVdzBfZiTW6gzAJ%20Ey85ADQg5RUYgSgpBCZA1E8rADT4hEJwRF9IA18YgVoQAy9IgFwwAkpYgBwqAEtc4jZI3ByQh6YZ%20AfdQjywYAig+6FTeU/0F2p+dgPKABxYAAQbIAUSokh4zBZPGIbFsNVWjgXIQhUh4gTJ+hIx2gUgA%20B1Z8ga11AFhlSRqB1TtQUCgAgdwxE/B4PkxYgUYQBEyYgiqYAgX4hEZQ62mYgjZYAW85gCfwAhfo%20MirAAWj4hBxIsQColiCAgk+DscY+hZeFB7pIhEAdaCmCInDl3P8nnmLRTYTSLQAnuIwMWIAdkK8y%20hoj70ev7yWthNmb6mm7BSQEAMAFVXdgmcFUjCBZ5SACVFYtq8YUgcEQkWAEQIJMqyARnyAQ0CINC%20EAREGAukUQCZ+ABK4ASY4IQKGNHTYQHuA7g0+EM0qALdsQcoSIMg2AdRC4AlsAMIH+i4q1/w2Vwn%20Bu4xsIZ0GAIOsOVIKFIq2ACvJeZhrpgz8BrBaZQKPoNbqAVwEJxYc4CVJig2qILD5YopsIcDsId+%20JoAVIABrCYMcQAMGOABMSO8oUdBC+IUpSADuFZqtughK+IQpqHKtXgI9aARMKIQDQILb4XJByMTz%20ZqHPboMoSQP/24aHIYCizTVrsM7f357ihQ7IB1iBSziAJg+DSjbSK6zkEa8FyZDkFxCDSAB0yQCH%20S6gFF7AADTABZDCBxeZnfvxsAsgEQUDvAFhc3JHs847ZAygAUIfWAxAEKDgBTHiDIFCDCuCEBHCG%20yCZlnS7XX9hsA5gxoc6ORhiB762CCTVzR8R0JICPrWQb3Kbw70mHg8bfcxjaWU6EIbADWAAGGTgB%20YXgCFCgCI+3XIhXYhnCCFs9rLxCFWjgsSa6Fp9iHKZCHAwgC9XAGBgCLKlgBfR4BA8CE720Dxr6k%20KjAAFboEMzkABZABMfhuQTCEdS8Ax24DniZ1QWBsRJAHKMCE/9j0hfcocHt4MUjEBBJABUZK+Gtd%208/KIoj31bd/eXFb+Wf5l9rhjCzvQgyVQuHeIPvOj1yn4ADEwvykQg68pP8RFu0/YB1DTZwYAAR7P%20Aas82QMoE8kmZy43AAc/bwUAcGgYgTsIAhtAgxzAhEZoBDSYAjQIgAOg8sYeUSj5BQNohBz3hTXF%20nfL2esElhhEIZ20IAi/4jvCIez0ACc6d8Daf8CheZYUOWqEdWv793O8pD5Ry+R4IAhwwADqgg64Q%20aoh/UxiL+Ccx+ypgAEs8gBWoAkEIg7CITfBgAUf8bPSupCAwgOtI8kZomgB4mq5abOhzFvZmEnLO%20BDRZgSbBBP8m3CAGmAkWOIU2QIXxCEKXBehrzYKBDtQognPf7u22GOuRL/z8PYcnpmV4cJIUxQ5+%20xoYEYIIEqDFdD4AgyA6A0+lP4Ec0aIQcWPc2WG2El+zF3XozuWyb5ops4Xc0GPUUAogRmKBAQVPo%2004hGjQ78YgBlRZAABQq0ufRqyrRpQRgcKFIljKAwU6qMQIKtir00bQgsybKkpZ1tCBJZs3ZuAs6b%20NXFOsMaz5rpECLi8VKgAzadChe6g2ZdDXg4QK9oEgYJJARQkUApVgVJA4Qpo2ECgacOiUQEQE5ti%20C7ICRCMQVQoJGiEI04gChQzgVTAFkAIDIpCMACHrACcQg5BErPgkyICBCqdAtFFAzM+rU7+Sghgx%20JU2BX4LSjEDzKwgSk5+gBGGxbUiiITPXze7pk2fPoC4JsCDYuYo8pSMCyCowJSAAOw==" height="91" width="137" overflow="visible"> </image>
            </svg>
          </div>
        </div>
        <div class="fig"><span class="labelfig">FIGURE 4.&nbsp; </span><span class="textfig">Determination of the mass of peanut kernels.</span></div>
        <p><b>Experimental determination of the mechanical properties of peanut kernels</b>.
          The mechanical properties of the peanuts that were determined during 
          the experimental investigations are related to the contact and relative 
          sliding of peanuts with the surface of the sorter, as well as the 
          rolling resistance.</p>
        <p><b>Static friction angle (ϕ)</b>. It was determined by using an inclined plane (<span class="tooltip"><a href="#B1">Akcali <i>et al.</i>, 2006</a><span class="tooltip-content">AKCALI, I. D.; INCE, A.; GUZEL, E.: "Selected Physical Properties of Peanuts", <i>International Journal of Food Properties</i>, ISSN: 1094-2912, 9(1): 25-37, 2006.</span></span>).
          This plane allows variations of inclination of the sliding surface from
          0 to 90 degrees. It has a scale that makes it possible to take readings
          of the angle of inclination. Different types of sliding surfaces were 
          used, such as: Stainless steel type AISI 301; Aluminum; Rubber and Wood. <span class="tooltip"><a href="#f5">Figure 5</a></span> shows, images of the inclined plane used in the experimental investigations.</p>
        <div id="f5" class="fig">
          <div class="zoom">
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slZc0zt9%2020Ndh3uVVXqGMu0rioanrJxEhU6CFRtUCdjblxIsxH3xDU3nfitiF+n3zGY2s4hzVBRT7HP/iqWK%20K5w3NVe5vobKx+mSYK3HZumRJ2Edm+6HrUkiU9XpGtFIkCmUw1kUMTfIjdasgicJOqkld5JZ/mgv%20Veme+SToPbElqStpO8tSf2o7ZuVLjXv721VPx552LY5wfTy8rmpYyAjWSuf40IKdfIqApmCBFZvW%20GNHuZA/DbS1RroDnZr9kgyYyFtOck5cVMKRBYQ5rs1ik5qedGWLyu1SdUcWpOzsbOaf0mrZ+6TVk%208fnd4vzzknFW1+lWyVQFPLd3V2TYBxqFatYB2YoHXp9Vqrjg+tGPSV7cTRZFYcs3bhjDQGpPe+Jl%20isMUrsZlzfE7c0Tfa+HYY1K7SZELmwVU/xv2yR9jxYgRckRL/hK1SAJybfLhetHOqPTYI7bRFOgo%20PwcXi0qAPRZQ7mndFnF0XKUa3JXt6UUS4sBqrmAsWE+Hp/gOFKz4buuJtjKqDvSoeIK/kSQzcYub%209GUjjZZHo4WyaKeT9nCtXMbh+nQIL3in3/PpvY8a1KR+mQ0bYwU3m8KKvqVxxKeTVjI/hwUuE+bG%20O1UqYwqCWmyZhV4hWEpHhUfYvfULklshDRYwRjpIFsRPEhqU1SeW6sUSCx8cFdXNBD3boNniprZo%20RbQ2K+neRvbYHHL5osAd9o9UTBa3nl6rAmYvZnFjtfxCVNnsLyU9YSDyldO5VgTHYNGINP9D9I7w%20+xB8750uvwxFdjMfRmMPpcDeOiFu1opLXK0hPtTrZngzwbfKIcDETF2xfTcRZR4CcdNRVs3RPqRk%20En9iFqcQOD4hFEjhEhRYGwSIJ45xTd9lRqZxe6OxT06nKZnyCXqwB3pAbHvhbSxYOcOXV4nlHi8R%20fgSoGI/0SzHSGGWFVldATWOxYOBzR1zhEdAULxtxPLiWInTHdpCzHYSUa2tBUGoXd3g3H3lHaoAH%20eP5HR71DQ26mB6VwglsHHQ9zXw5zVfhUZnmBDbljM6MmW6hTIT2RCGWXFZVVcx/2cXjSNznYHS73%20HYgCHsXBbPdSiNgwCHlxWAh2R1QnPRz/2IHuNDb9dBqmEH8o2DS+14IteAUg+IFXQjwJRBw4ETlj%204Xbf5TsS5EYcRkXiYXhcBEWxZlhnwSNSpGwycXZJeGC/URwHZnsr9ELys4XrNzKyxQqgRh+BEIaf%20QAfEhn8s4ntleH+GkREGlxH1QY0acY2ogw1CdCEY0hd7YVO5KFXaoYRisSkW1oN0djHi4TWBkxI1%20UTBihRnVMxZs4XrCMWXed3k5V3sKoTaoYRIAWRoHsnACWQqWSAcpeHSayCxAZ5APZn4PFg3EN0XX%20cJEA5FAYAhls1DHjqDR+YyzREA2j5R1XQDVtJXKF5EfhkRlmxhc7QSeadXbHJ5OVlIpP/4UccLeE%20a3EktUNMpSJbLkOMVuhp6Nd3q6Rk8CeGewBxMwUFASVC+4V/zWFEFXmORCYARuEK1JJOfFFOMfmR%20KRI6xyNBeYYhT+QXoBMj1kBQ8dhIkdMjfVEx7GWPecaIFxUx/QhVDJEpBEZhT/dVn1GQKFaYBtI5%20UGAFWxcjChgYVrAHdPAJJtiQ5Ic6lWlw1fiJC4EsFomR8XIbY5ExISEWELNN1pRNH9YXVpRez2AN%20q5Agw1EZYekKpKlajqGHmjUS2dc40LOL+4JRkLQZ/xSMKnNS/2GN6IeNytlp2NgKM2J00Pl4eLEC%20TQkFkUkH1CaNIwRdANiOWLkrXNkK1P9ydmI1KMyWUUqEmqnpFwgwRdZQDdbQlnNSE54hhdZUPysy%20GJCRi5xRk1XmEhGDeRm2EAMpmKgTkemXoKuUaApSH1ewFyWAib5VAjNSAnqQgqCkB5/QNN52KNQY%20fu4BotgAotIgoiJakeo2JO5xkYLlU+IpOkcYRecJPekJVXQ5F4fxHu9pDazQKxT2a+JJlkSBBVgw%20YlLEnyGBhGznUmLhKFImljd5li9xJPDBKcWod7AJXRhBHltHnVCQgnvAoZAZpgoZf3pAoWimX8xm%20lbciFiWEGDvRd10xCLQZMaewkc/ROehZlkx4HKbYJ52TRRb5nq1JUGanl3ABIltJl/r/yWbHEY/i%20SXN3WRSKCqVMNH5OYpgj+Wnhl2idimgjGqohimiG1UHYY4IomD0auh5P8Anxt3UMGRgu0anYQFDh%2053a0SquaqRAZMR6h5INGcZEBxDcY8qJFER1xoVAH85sadjmA2AquaQ3QkKXFuqa+I55Z4ZXVUzXJ%20sSB8mpvnVHxT5osxBHjL6UxbcQ0ktEVh2K5gGJnwF6HvyoxQZFaBIQgiOjThd2duRh6BwDlRIwgX%20Sa2DAFELZVZPOoAoUqMZ9mEgxAKScg3xObFZqhNcqZd02gogwhKUymVLhRx3AyZ76HnlqE3H54Gh%20QZggCqo0GKoziBYtG7MZ4Was4Kp7/yCZn3CzNruMoCSZGIp41ZNzMvuyayGzPvMSVARgdQan6jiw%20GQFMb1Gec/l2VCsTx6EYAjhlreGsVzBX17AKrnkN0IAhLRA0Djt2rdUKUBN3uWmsGvsbjdGn/gmF%20dFKFWsicF2KiMKG3GAGin2JY8aeMYAiGS5mzpvCuevAEzegsd8K3ovq4+ZoRyIUhPXZTVpejxig9%20W/IXdyEcNbGSWOFhDEu3dTeFHgYXHjJP2dIK0GANzwCf1kA1BRQkJnEKb0GPzLKX3RorIiegN9EX%20GGV7EGmZzEmrLyGFQ6ZkzIizOdu8N6uzpeCqekAH1MuheWGpxWIuBXJXTeewEeMeb/+EMIFhAlhw%20HK4wdfHydsWHvQ+kKeSlL30jsK65CqvQF2YbNIfhKCRBLeZVOX8hsHG3hBgxCD0xCGXrEmrrodqE%20qXK6jWCRqy4bwWkBwZuCPVCgDEspuO5aiVuUgmBaIzPauHsbwS3bt3XbEJE7ITAkIeWRetwBHSZi%20iG+ZkcFig+xyimKGlUXhBdlijM/AHYf0JYcRFOIptdGBaizQrTTIn7zbEja4wGKjqQYiokSLUR2E%20kMx7gvB3qmFIvdNLvXRQHTM6t9kLg8jZGb0Tg3R5BeXUdY6BFujLFgETj0rxEW98ikiJEcf5O35S%20TjqmlrsCt9WzEVPbhIZqd5NECwX/jA1ecGVK2EeIw2nUyhVUTMIwe8lFe8kVzK4ZPLilcJ1hOqZ0%20EKZWZEkRvFyIXFmTqxHqKmu6o42xsigsB3owCY98ZMsY8bnxossfcQV/SreSBsydOBqPIQDTs4Em%20QS8JFSsvQsibE1VKcXa9OaVd5cAsq2HvB3/RG3/Nq8UoeKHTC87MeJ6SCsWgSK0gehqz7MZwaSw1%208ZZ8w74Hkz/Nw8dWJ1P6xyXzwkzTExjMFpLJ0bIn0rJCoWxp0aKmy41HoivGa6NQELidLLjLCJnL%20yLMhrE3M5RCHvBW1laBMtXOfJy09AkAyPBPv3Ei3MayhC5xnzBmJBBe/4b9XsLFp/+Sx52Z2BIyb%20KbLQtorJtdqwV0AHprCzq4qqJwjOPKu7F3W052qogylfprcoXLcoicabcayEAzN1R7NNPnWuylMc%20f9Frold8/JhD9goYCWuWTbjWbIsW4yllCK2w1Qy5MNHTusiunjy4JljRkQlK0faR2Buct7IrTqaN%20sClyHtUdVmCMmbvLvGnLk/WZtzwcap0cBJUgYFYnJpRP28pLzGLMDAVyR1iwOp0W16YWyMtoNnqz%203HyzR22C4AxKeULGz7PKaNHTpLFsXidyxtiWyHvVKDLH7Uwws2EwRpRlqaadIHVxJCRrNomawNwR%20GYOB1Myre5LOJny6q+2uJijR1f/LrPvjXQ4RuV9h2A68ULPsKokxsMaoefdy0rYM3716BQBjG0aI%20Pwr2pCGBOMgrWAUCGwWCu8vNgmuqGOQxV0pNZdHMQKrEFkpd2tmUqq6NgrA9vY5M3L2YV4YqhQJ9%20vMP73xqBmDriKME6sG5ZLC4VBSYydZD9dvgISYoBUXVnIVqSg6F341eGMCT+WBiFvCH63I00El6Q%20fbamyaW9IyEOnKbwmIWroQppBdH9yMTyGpErohvt1bRhgKOCecZ4yPBs0mAe03qhJ7ms0vatQLy7%20B06a4HsoitpojQXYkEcsMCBBC47iBatRZ7mY2t8VFOVS5JGjFl20Q5qnnrGCPd//fKFPkHNDoWFU%20/tMty+c3YXBHgW0IPCu8W+JOeyI1cUpR85GG2ECDdhjXhMC5RuNbIcjJPeA50tU+UWhzBeTZ1OFt%20YWB8ZbZ/5SPeKbDy8TydUwKfN1qBgD1PoAdJcOHKCokGpqW00RoSBUy1KrbCGt8obYTDaoj3Ijck%208lTJ7jhAF8//DaL9DBjReK9rQQur5xFDMrrOBuhilcQfFxfrnqMYSdttEQ3CRh6JsUWkcpsuLs9K%20M94+Hcw+jqAhwhGduDwXSbGcDscO/xIs7uK9MeqVkbWJwysuk40YgUq9BRgh/B4/jUDlIXxsqFdS%20VuvWjRajxUxBoxPpFjrt08oA/48nYXpXSmlYJnInM5/QbPHoZ9FQVtHAGuJgOxQcGNG68lntb6nL%20MsH0gKUbASYhx+HjmxUbQigS3eTP+dnqGcHYrCCf6d6rOjGUED5k9KjApg3o77cCUGAiBHQZDdab%20HWQZlBFKfC5Uzfbox4si2I1tfr8g2A0X2oOvEkuxkv7wagHcLV7EpM7jWFHC6PpMf/E5H7Yo+RGt%20jB0siTATiLEpIynrEPTCFyfYKf8SYRoABbg84bFQGcVFW/T6E2aT3wqcYEQhKDwc4XfZyPPmqW4S%20RWp631v4YGsNYJ7t1/700VUUa37yBZVHelZUwK/6beUe7zlgq+AZMSEc6p4tRv+xOoc/loPRj2p/%20eBniCgxGmta6TXNvCpQxHhnC52XfRO+eXj5zyGydFoiG3QDeoN4OEK0ECmJR8IoghK2uWatmzdq1%20WdgkTsTmaiKtiRYlasTWihbGQQkFDRrUqmSriShVdmQpcSXKaCxVRnspU2Y0Qa0QegmpU9CVKyxy%20XlvFapW1QKxYXasp8GCgVqxotqRYFWVVbCwCbOVaFcBXsGEBVIWyRyJChAdzXgnAAtsVrHHlUmwF%201NSeu6bgXs3oiu9cwIFZmGgbgK1YxGBtNqXKl/FLpotlCmzFpy5boIKwCCRarSErbBgtYkRpsTRL%2004t1rs7Zym9gitJSxlVJubb/QtutaPpEm1BnZoUMWQVa9Uyp646uTCe6gkUQK91/YU8UtAcoiyt/%20E4ulq7L3d60Ip8NuBSUQ2rutq74e334iW67xtyO2ec395Ny2OwpU/R3LYKESumYhzxqyTy6MJEow%20NAb9ymkk11xLrSaX9qNrtsckm+mlVpxzTpBTHhSkBYSuWWoVaEqBBrrHfrpij2hYpOo+r+b7iiLS%20vLhikA81e9CwvWi0ag+88EJrRiSFnKsVrZrkigUbw7Kvppgcw1DDjqaKDkuU0kJokKCA9O2ahlSx%20BprILFITNTbXLOlB/k4jj7aU+Kvwtv3wjM6nHnsDKrsBlVKxKBkrQg6btA6K/2oqJSeKkja1euPj%20imsCiQK77Bp1yYrzTBFEL+kq0nQ6+OILIEqwtlQopgOTpNOU/PSjLE+ZfuqthbYO4mMoh1Tx7KG4%20FuRITZ1IWm0jyaacrcI7WVK2JkHwU61L1lhLBCHsBLkGGmuOSsqUbiN7yZWfAowsJiUfxeqgSNkV%20JJBAsDPPlFFbIdLT9JBl1tVRXSpsK61QvTFDZZtF6dnJWsOJMlO0VM1dbFkQILPNZiGz23BXIk3U%20cV2DM9p9AQt1ySxzQzS/jqSxzUfKREwrCkVN7HYVz1BcyiX+/PrzuWiiuQbd9lDFytbvMlullBZY%20CMQUWDWt61OmxetXyFINg//iVIGxqdJV+1rFSiWmYmXRNprCvurpdps8yLngqnnmV/s4QjbC/HzM%20qVm8r7yzFXr13K9vnWhdCVtc2xKJtVOuA4ozmotK6qiVEnmtFeYyM0Xc8YS+025b2TWKyXvxGnm8%20u4y86y+MNp56Lvi0ggIKKAXeOsPZr4SMst32fCn3t9SCmK2CiPbLmreLx7xjV94EM7PsRl92yb9m%20xdnk3Mo1FWBFeQvpp0sPkrkomhtaZUBaTXPxiuOcr3G+qiLtXJBdxxckkT1K2eMTvBp9OmrLqhJ2%20dbm04kmvExgAKKQ1OgGmZ7fJXX52Uy527cVTRCNIAEwAlD2wjUDPeMaZJNT/GIFU7k/Mu9tKDPa8%20WWXINjLSzVqqdj2uKOpjLsJOCzjDEGfM7CigUQl7EEWQF0UlMoB51Nl2NBIvHWR8LIICHexnikAA%207T72Mh1cKDIsAAZQKyUogR6gUMDjYWlfVnrMNWA1E1hdRysAK0EJfaKrxDVJKGrpSBhdc5LJXcYK%20JAwSq54nGxo5Rks/KRwMDWkYEOkkRGkpSLbaNjPPdBA0oZmVgzDYMIFIkSKa+w27sDBCQTikS3rA%20XylKwTT1LekKTJvgXOSWRYqs8XV6oEMB67gvoGlSLlXSEtl+UxAEwBA7CknJT6yTFhMIAFOTKomo%20aOEX/XztfH/K0BglIxsV/+7nJ8Lk5lYIsxUZ8oYgBbmUeLjlGVUYpRqQS84g8khNWC1FOprDFCMb%20yQITRQYK+MtLKaKByftU50F7AFkCYUmXJq3gdXsoYDazecLaROxfhSGMHAsSp44kjoIFyZXw3vST%20V1qlLnyAmRXreLADpTKAVdnmIV0qzAAtElsWbGTzHLLOVdCMGuskHzSR00m8QAc6B1JXR4K3vYEu%205RQdIZIe8HJKU0Cjae6xV9RMGqyDrqsgUHjCFwWGm/1MaSq6JJlEBvTLlwJsopk6m4uIBrx6XqF7%20w5zOb0p4Ui7ZTm8dqWBa/Xq9FmQnLXVxkkGwgI2F+GqngFjnOuuUCJaE5P9FUAFoURG7RxEJlil3%20kwiRPmGKUrACRjRCz1WRtKCDCsQvZXldCWwZHTtKxpqb4+hWBGBB3GrltrotjJOusNTBvS9imApK%20UGDWmOdd6GAtGWJgTFinF/5VurZlQY8+GRSLCqVtOTUlNajxNmvUySN8lStCoqE5vqKFSJ9ixUMC%20R5F7QZFeU9QLkUKaVZIxKQBcLAHWhAZW3DCFfCr94RqnGx/eAixajplmogI7QhIFMq8OnUyYDizd%20wgbgtn9iwaWuW5grlCCwnPEMY3fqq/Gd5iT7ac4V0GtXFsDuJ6yAxsmkowfQzpe0UCioyPDbElpo%20+EkNnbBsWYKtbz5JyWr/3e2SC9Pki3LIk0cULkavSCeThQ2xFiKPhS88XQHcVsxtuWcjA4uFpJHZ%20INpaiHdzmlNn8HQjtqGFSVxsI6z4ZcVnPRZF7gIVJUnNuQRW0tkM7N8ogU03VSKmlcyK1i+79La2%20BRh/ANnJzHznvrSh4QwEwkOWgLqaHYlupF865mDutrYs+A2ZOazq4KGEIapYhYmr4SvQkIZcysGG%20ZZF71lMIpGF0IWijFpyRAPYYlnxZ421fW2QO1dbJk35ytXl77d5mO2l39U4UjukcRaGQOuPMtoCj%20cjYy4owupma3hhtZaZeM07AWNvNmCFQN79LaV2ZqFWXQGxdRXqFnTJMi/6FpYyfnKhuAcjJwQV7r%20S7wut0sTbbchYb1bbACSLplmW8iow9EyK5NDFH6JICgu5OtROz4qd/L1CjKDGCocG5NydXPW2CQT%20iMchO80pKaoR5xSL6t9VIco1qoOXhul4VH7Z9Hpk3q/nqjx2qFJ0ybh0GSc3POtbp7TE2NJktj7v%20QYFBiDJ7q0yzx0lc/DF6tjC0skNX/JDvJnNrakOXchWkBZ8sZCOjEC0y4VsV3vWuM6gR3l7jeS4P%20ScsenEovsv44OVmFpr/k89WT0iR3THFYVBASiFJXnO4xP1sg76nMgqB+jbkR8LErKJT++ETacjfV%206A+CKDFSB65XIBHIQf982FZYw7vNoMa+vVsNX9Nls1fgqhdNIRVHz2VB0SewwanaEgFS+tkbmvBq%20gDJtrrBcrVtJdbYLG6C8zpYlNz97C8yulZbJqmWLc0zYJthS2j9JYtjzTZxKM7JfqimgmDQWWAGD%20kDV8Kz5SAARqGDqKYDyE2APYKYvn65meaQ+5EZZUsr72kB6jMpWGipXNowyzETYvY7fRW7P8MJv2%20qJpgkpjRCwCTWTCM8hvbSIpPmb12ozsWIKjAscHcy7u6S7PCsiGFeIbiMzwHNKvwWqVogQ6mgRGp%20aJjIsworvBDAQK2peS6JODQBKKClkCdsYKHOK8HnsAKtG7+JMjAo6y3/TFkNYfM/xoCoUskwJ7kt%20OMzD29CyPAkbpfCTuIu0hgu3WEE4lMAmKzOUMDGI6+AKE9CKCCMQ70o+iYBAIjmlU5IKaIiGTdxE%20n6nCr5G89tA4lzi0hjK3QuwlHmoZ6zmwgvimAsyW55hFu8sk7vMxtAomMluylTgORBGXqahF/LAX%20n4AdUzu/w2kFlcEG4KpBLjugLjE5OQKKvqu7g7EGSnwIVjg6KLAf+5GqfwJHKuQXK5QODoS6uGg2%20RMOzAPs0o+OM2xlDndhGciO/8OMmA8u0anmQ2HqudGOwbEsy+Pu0QpQ/RWNFQETBSCnIOZTDPEuJ%20RWTE/VOrYXKFoVsI/xNRFAm8xPqBKqaBBk/0mgBqOlEUqXW5x4cTQdbLjeN4Fx10OWmTRZE4o1os%20RHIEwECMj2jJiTDME/6AjoSQCcxBj7UoJEpLudprHlmxupFLP5tIDc0AOeJSMq+7yIego+ogJT0o%20ha3Ei09QhqS7wA0UlSsryY2YHDY5tKlLtP3goamAPqGUJzOaR4lSQzsMkH2sli0RQ4IpstZxMjlk%20yBVMIZ24v1b8qwBRGcHUkzhBFwDsDsqISINIM7VKPsa7vY6wAj1wqvshpU8wJYLzxDrxMbM8ONvQ%20iKo5Rd2xSRLEHXrcxnjpr9q7OeA4t8XEHUbzR4OKTJcam5yAldbYxv+okEf1QAkW+iGXCT1TAYo6%20k4wHectMKs5hNKHmrImlehDsArHAGjLFm4j2+g3HwIsX2UqttB+wjJGfeZrNMMfyca5le8r3uDyq%20w41/EiKFgMum4LxZlD07BJJzO6MsGRsoFKLjJLkreY6JnCg83M8Jqp74i5r4iyi0gAr8EybfEEqX%206KXbQLjp4dAr1CY4zLtpDIp/w0ifCBWaEASnooPN/ITPokL48J0eQzePk7zKiwuTk88o8UPKGBvc%20gEctoQkoasm+io+DEM5CrMlYOR6HsaaVSQtdhKEH8ZS81JZ48gkKFc7WCJs9AD3WyMm2WEqUuBzI%20ODY8MVPB6T4KrYv/eMmwFmiBEl2Ft3ivuUAIK9hIHNMLlBOKwCqoleCIcxQSLmwfEBQYoLTPcxMq%209OxFzjhU7HRDPVQ7aHHGeFShatlGtdgDlJuoJ/UJoGyN51ihCI2/T/28uMuezpuNElw7DmEWlWG0%20iZgd3gAK0KOhWHTDojJRtKg+QYCCzYSdNcoUWpmz6CtJkszRrSigK23NQjQ3HvXRVmjT80AZ+9gN%20n5kWeLylZ0Qh3vg00Gui1wm/iXyQ4aDSPRCij+EPAbG7dP0UeLGCXnWS83DKx8ComPBTaGMxF+Ex%20drECAzS/ohIlzaiLvxBJrLCOAEga2AvFfSHJ92RYRNFRG9nGr9CJ/68wkYtlhYptha+giYoVhIs1%20hRu5s44YGJMFAI8dC441II1V2Rtp2ZJ1WZm1WJb9CkFIgq+gA5wFAGfjWRnEQfQwTJehyx7lG1Zg%20pajYxvrq0iuwAk45DxZiQeXij63pUE2iURNSzPNpJDSMQa4QGhMZiCmliJ8BDLgSgKcrK1F8zJQo%201AJ6W7iNW7md2wLKUrWYxyz9GCrNiXN9DqhYmt88DsCdRxYxusWwo35M08E5MnQbCFPYI9/TihUg%20M0xN1kepFEQJiZNpD2kkM/e0CISQnJIcVHNkQ7o9XdRNXdUVi3eZoPOYRb1oyYFAnz9kEfSAl+c4%20o/TxSZjAPsewk5sNRRmDoVEbe6PsLMAVKAEDdFp42YM1ulz3Eo8+mw55C4C0ZSmQKk2Vyj7LXV3v%20/V7w3Y41PY89gE0cZA0tRV8cVNrfxCiF0RbpPCAajN8xjDhp2RuxvYJ4gYISKKxAuAbnDQD+fV48%20g4avAJORvZHEkwgFbmAAOIyxWGAJduCYZeAIpuAJvmANtuCKONkKXuCV7dnwHWESVt2AAAA7" height="98" width="349" overflow="visible"> </image>
            </svg>
          </div>
        </div>
        <div class="fig"><span class="labelfig">FIGURE 5.&nbsp; </span><span class="textfig">Inclined plane used in the determination of the coefficients of friction and rolling resistance.</span></div>
        <p>Static
          friction was determined by placing the peanut kernel longitudinally on 
          the sliding surface, which was varied in inclination to the point where 
          any increase in the weight component (m∙g∙sin (ϕ)) acting perpendicular 
          to the sliding plane causes sliding. The grain will be in a state of 
          imminent motion. In the case of imminent motion of the peanut kernel, 
          the summation of forces acting on both axes equal zero, since the body 
          is at rest.</p>
        <p><b>Dynamic friction angle (ϕ<sub>d</sub>)</b>. The 
          same procedure and equipment used during the determination of static 
          friction was used, with the difference that, in this case, an impact was
          exerted on the sliding surface so that the peanut kernels could 
          overcome the inertia force that keeps them in static equilibrium.</p>
        <p><b>Static (α) and dynamic (α<sub>d</sub>) rolling angle</b>.
          It was determined by placing the peanut grain transversely on the 
          inclined plane, in such a way that, by varying the inclination of the 
          surface, the grain begins to roll on it. In the same way as in the 
          previous case, an impact was exerted on the sliding surface in the case 
          of the dynamic angle.</p>
      </article>
    </article>
    <article class="section"><a id="id0x1f16f00"><!-- named anchor --></a>
      <h3>RESULTS AND DISCUSSION</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <p>The
        results of the determination of the physical properties of the peanut 
        kernels show the main statistics for each of the properties investigated
        (<span class="tooltip"><a href="#t2">Table 2</a></span>). They reflect 
        the mean values and deviations of the dimensional and mass 
        characteristics of the peanut kernels, as well as the ranges and 
        deviations of their magnitudes.</p>
      <div class="table" id="t2"><span class="labelfig">TABLE 2.&nbsp; </span><span class="textfig">Statistics of physical properties of peanut kernels</span></div>
      <div class="contenedor">
        <div class="outer-centrado">
          <div style="max-width: 1160px;" class="inner-centrado">
            <table>
              <colgroup>
              <col>
              <col>
              <col>
              <col>
              </colgroup>
              <thead>
                <tr>
                  <th align="left">Statistics</th>
                  <th align="center">m, g</th>
                  <th align="center">L, mm</th>
                  <th align="center">d, mm</th>
                </tr>
              </thead>
              <tbody>
                <tr>
                  <td align="left">Count</td>
                  <td align="right">100,00</td>
                  <td align="right">100</td>
                  <td align="right">100</td>
                </tr>
                <tr>
                  <td align="left">Average</td>
                  <td align="right">0,49</td>
                  <td align="right">13,56</td>
                  <td align="right">8,01</td>
                </tr>
                <tr>
                  <td align="left">Median</td>
                  <td align="right">0,49</td>
                  <td align="right">13,0</td>
                  <td align="right">8,0</td>
                </tr>
                <tr>
                  <td align="left">Mode</td>
                  <td align="right"></td>
                  <td align="right">12,0</td>
                  <td align="right"></td>
                </tr>
                <tr>
                  <td align="left">Geometric Mean</td>
                  <td align="right">0,49</td>
                  <td align="right">13,4586</td>
                  <td align="right">7,92</td>
                </tr>
                <tr>
                  <td align="left">Variance</td>
                  <td align="right">0,008</td>
                  <td align="right">2,8802</td>
                  <td align="right">1,47</td>
                </tr>
                <tr>
                  <td align="left">Standard Deviation</td>
                  <td align="right">0,09</td>
                  <td align="right">1,6971</td>
                  <td align="right">1,21</td>
                </tr>
                <tr>
                  <td align="left">Coefficient of Variation, %</td>
                  <td align="right">18,06</td>
                  <td align="right">12,51</td>
                  <td align="right">15,16</td>
                </tr>
                <tr>
                  <td align="left">Standard Error</td>
                  <td align="right">0,009</td>
                  <td align="right">0,169</td>
                  <td align="right">0,12</td>
                </tr>
                <tr>
                  <td align="left">Minimum</td>
                  <td align="right">0,26</td>
                  <td align="right">10,00</td>
                  <td align="right">5,50</td>
                </tr>
                <tr>
                  <td align="left">Maximum</td>
                  <td align="right">0,77</td>
                  <td align="right">20,00</td>
                  <td align="right">12,00</td>
                </tr>
                <tr>
                  <td align="left">Range</td>
                  <td align="right">0,51</td>
                  <td align="right">10,00</td>
                  <td align="right">6,50</td>
                </tr>
                <tr>
                  <td align="left">Sum</td>
                  <td align="right">49,97</td>
                  <td align="right">1356,00</td>
                  <td align="right">801,00</td>
                </tr>
                <tr>
                  <td align="left">Sum of squares</td>
                  <td align="right">25,78</td>
                  <td align="right">18672,50</td>
                  <td align="right">6562,00</td>
                </tr>
              </tbody>
            </table>
          </div>
        </div>
      </div>
      <div class="clear"></div>
      <p>For
        the specific case of the mass of peanut grains, the results show that 
        Criollo variety reaches average values of 0,49 ± 0,009 g, within a range
        of mass values that vary from 0,26 ± 0,009 g to a maximum of 0,77 ± 
        0,09 g. The standard deviation did not exceed 0,09 g. The coefficient of
        variation shows the great natural variability of the mass in this 
        variety. The mass of the grains of this variety are similar to that of 
        other varieties that are harvested in Ecuador, since it is within the 
        range registered for the INIAP-380 varieties; INIAP-281 (<span class="tooltip"><a href="#B8">INIAP, 1996</a><span class="tooltip-content">INIAP: <i>INIAP-380. Nueva variedad de Maní de alto potencial</i>. <i>En:</i> INIAP (ed.) Estación Experimental, Boliche. Ecuador, Vol. pp. 5, 1996.</span></span>, <span class="tooltip"><a href="#B9">2012</a><span class="tooltip-content">INIAP: <i>INIAP-381. Nueva variedad de Maní precoz para zonas semisecas</i>. <i>En:</i> INIAP (ed.) INIAP: Estación Experimental Boliche, Ecuador, Vol. pp. 10, 2012.</span></span>). Similarly, these observed mass ranges agree with those reported by (<span class="tooltip"><a href="#B1">Akcali <i>et al.</i>, 2006</a><span class="tooltip-content">AKCALI, I. D.; INCE, A.; GUZEL, E.: "Selected Physical Properties of Peanuts", <i>International Journal of Food Properties</i>, ISSN: 1094-2912, 9(1): 25-37, 2006.</span></span>; <span class="tooltip"><a href="#B10">Iraj <i>et al.</i>, 2011</a><span class="tooltip-content">IRAJ,
        B.; SAYED, H. P.; FATEMEH, R.-A.: "Mechanical behavior of peanut kernel
        under compression loading as a function of moisture contents", <i>Elixir Agriculture</i>, ISSN 2229-712X, 36: 3552-3557, 2011.</span></span>), although they differ from the 66,80 g reported by <span class="tooltip"><a href="#B17">Sarmiento (2013)</a><span class="tooltip-content">SARMIENTO, C. L. M.: <i>Evaluación Agronómica de un cultivar de maní (Arachys hipogaea L.) tipo Valencia, en el Valle de Casanga, Provincia de Loja</i>,
        126pp., Tesis (en opción al grado previo a la obtención del Título de 
        Ing. Agronomo), Area de Agropecuaria y Recursos Naturales y Renovables, 
        Universidad Nacional de Loja, Loja, Ecuador, 2013.</span></span>.</p>
      <p>In
        the case of seed length, the results show that this variety has an 
        average length of 13,6 ± 0,17 mm, varying from a minimum length of 10 ± 
        0,17 to maximum values of 20 ± 0,17. mm. The standard deviation of 1,7 
        mm and the coefficient of variation reaffirm the natural variability of 
        the physical properties of peanut kernels in this variety (<span class="tooltip"><a href="#B6">Gojiya <i>et al.</i>, 2020</a><span class="tooltip-content">GOJIYA, D.; DOBARIYA, U.; PANDYA, P.; GOJIYA, K.: "Studies on Physical and Engineering Characteristics of Peanut Kernel", <i>International Journal of Nutritional Science and Food Technology</i>, ISSN 2471-7371, 6(2): 22-27, 2020.</span></span>).</p>
      <p>Finally,
        the analysis to determine the equatorial diameter of the grains in this
        variety showed that the average equatorial diameter takes values of 
        8.01 ± 0.12 mm, with a standard deviation of 1.21 mm and extreme values 
        of 5 .50 ± 0.12 mm and 12.0 ± 0.12 mm, as minimum and maximum equatorial
        diameters, respectively.</p>
      <p>The analysis of the frequency histograms (<span class="tooltip"><a href="#f6">Figure 6</a></span>),
        showed that the most probable values of the investigated variables are 
        in the order of m=0,26 to 0,6 g; L=10 to 15 mm; d=5,50 to 9,1 mm.</p>
      <div id="f6" class="fig">
        <div class="zoom">
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T1Hgdiy7%20JdkYHVmFRf6WOvARiOhuoQMBqMlrzj3kPz7gAWK0QheIQMQsxuwAB+jCzLpoBSI0QYMdVAL/AeRd%206nl5mV6qBhOYWE3mMtnEkQy4CVMCeccQdnHcVT0EyADWyR5FIQo/vKDAkdhDGyZN6Upbug2YQEIB%20GoEORdzgD6fLCfn+0Nm13aEEovhEFf4xoAmGplFSBo0HAKAkViWFJrclAPqmAIEOhEAf+sAECIZd%20imIXWxqlAMEe3vUDJVDi2dCOtrQpQV0i/MMUf9ACScpXPpL0gSQmIFFNCPDtJkeWOhlh0SWg5kXk%208mOmXhNIJ1fCamrMYq+jwoK+9b0OLOQVAliAAC2uwIRRxJmpTqVzVNUbTPbmGb57XpP4MpaAGkBD%20AyXwDUTGEyWUmCefHr+BKQr8gyJEoBIR/zh5ylGu8pY/GAI9aIDMYfDsG1DiLS/xcHazG1gCiOEk%20H53gxqzmgUFZ8h8Uu7U4cr1IT5gBEz+gQR3sAAKjGrvYe0hCB6oedWdP++vPDsIZ0CEAE/yhsdwu%20ybfBLW6zk9vcT65OBrzgARe0wAMzfYZGMEKTgcxbJR4LQiNgMQUkIMET7UhDGoBQswQjXh/rOEIU%20hsGEg5s34VCVqp2t2t73xtdwAllFi1rUAmxkIDsR4biHCPPxRlbhE/IwQSGQcA0Q7IAMuM+97ndP%20Bkx44hrOeIEBpU2EQhjf+KiNW3Y7seSTGMPEmVv3BbzgvH8koABjOGjSk8JNja7wAxUwg/80kmA3%20cCjgGFFIf/qvkI43IyACB1AGBI5gh/rb//74t4MZpmCJNbQitW21TT8BFA4FVDbRatORIy6SAC0A%20VlEEADpgX4nid5/2B6tWb4lQAJjABiBQCsqALoYQgoYABVDQBE3gCBCAAAQ3D5Y3Z5nHcMLEAcT0%20cJ9HPBmBeta3D2rwDp0DES8WYGuRFhQ1NkqWKWKHBHkAAm5QCUzYhE74hL/QAfoAAapgBzFgB5iQ%20f/Y3BT8AAj/whfxHDAFgZHt0RZcgC7VgCzJwH6jwJwRQHJKwFDKBA/LUB0EwAmaQB82Qct0QAf4w%20VYA4VZUQB4OAcoMAAUIQA4q4iIzYiIr/KD8F8AAuoQ0B2EkDeAYF+AcHGATXkxECgAEuEA8Y0ALI%20hQ06kAsTKG8VeIF3yAMiEAJp0AFJsANlUAaBaABl4Ahs0ATr0A2cwASVN0vl5YJ1VlV45l56piof%20cTUgJBDqsDVWExE/iCRC2Ac3QIQ6EQToMAJOBwIpIAjgGI7iOI6CsAd1gAXX0Ihr4IiK2AHu2AFm%20EAMFAEEnIQ9i0EHN1AIyIAOyEBqycAv4sAs8yEFFIRPxRD59MAAj8AOqEAUIMA8QOUu3qILjZV4Q%204AQKgJEHoJEceUsY6QRJ8ANtIA1sUE4PgAcPcJIpiZKgsJIqiQi1oA19sAIHWDjTEUKg//EOLYAP%20woAP04MNmHUQ/3Ui6JMIIpAGpWAA4mVLfzhV/uAE3nAIqgAB3vALV/ALLYh5xdhwMth5ycgnmPIR%202ZEBfzIcteYQBLAIaUkyL/ABH/ZhxmddDbBdO4cOZ1AIM+AJeUALgwBMfumX/sABCEAG3yAEOxAB%20keAEeeMEwqQAHKAAk5ADOVCLZZADaRCJN0AO8rBHY2E9FyAMu6AOLCALl4AKjMANCyAMjLB9SGGQ%208oQD3WIGHeCQEMmCsjSR6ecPwgQBtvSRGfmbvvmRe1AKPwABEKAJ+lYAIqCczLmcpYIFBQALBVAN%20hIADJoAKZ8CJLGU8XCMOXDEAEnALDP9gRQUxlKw4AomABUgJBQhgAEwJiEo1CVJJlRFwlVmJXgu3%20ecfoeRE3JhaEWaPhAfuADffRjA9BAHhUBRnAAmNgBA76oBD6oEgAoZZgBJ4gAtJQBuAQmH/ZoRyQ%20AuBQmOBQBD4AnOUFmZJJmZZZAIjwB5pZhh2kAdAwJx5AmiWgDrUwNFijFI10kAQgDgv5A0pZmxip%20AEklS8eABgdwCE4AAYdwi1B6i3EQB82QB3DABpLJYEkABEdQB3VAA2GQAzTQDpZQALLQSdtwBl8D%20HRO3jBKAAQphnqtmRj2ABUCQAgbABPNwCIdgS055API5hWHQBGTgh8IoZ1qZn+vVlTT/2J/K2CJ+%204itRM3EKQQDaZgLosAAFcA2akAee+qmaEKqd+ql5YAahGgMQ4AhkUAnC1Kqu+qrChABx8A1wEAeV%20cAWACI4P+ZBOgAa8g4tJkAYi8ADctJkE0JkT9CJn4g4FhU0EmR8otUImgIdC+pAQeQBMeaRJuqSH%204KRR+q0GoAzKYAjncA57UAZ7kKWSmQNJkANeWgc5MAltQAOYAAutsA2mkBhQJmUjZBUvIgGOghBy%20ymroWQB3mqfzIJ9+agDxeQhTWAehUKj3qXCaZ4x806gItIwdcQkZoQ41gAELJDSmQwB+gApE0Auw%204DKKlwY0IHVS56VhEAZAoHiYgAnt/zCFqjAIugmrPBurszoMV3CruWqt84AAGRkFNuAPhrCixGoC%20xoqPoSdlASAO77AJXcQ1LRZYtzUOZ2AGP1AGCCAIvyAIv2mkSXUMULCR3XoIR9q2RzoKcTAK5ZoE%20tFAEdlsET9gNeMuEtAAC+sCiisAMFBUs0jG1aPIZGRBTAhCHCdEfNnEGdUoDTSAIesqnTtCUShUJ%208xkJRQAOhipLw5ioFcuVM4iMECcsDCAYlfQPGLAPOvAOGvsQVtBGxtcLIgAE3pgCuvt+HOA/CIAA%20KaAAHdAGrjAJEKAMnGC0J7q85VUK4LAOhlkJZJCrxBS2ZKsANjBeuEgDw1qsoIasjf+zjGfyEebg%20AQswI2tKFApVElzrtWArCBDpm9qatk6wtm57v/4QBdL7DecwCGWABm4QwLg3pWRwDG5wBVdwDFva%20DgVADDf3UJLBHizSEWogDAzhuCYAuSJAAwdAuXvKpJirAJEwCVMZBhHguRP7gvp5saZbg2ySCgyg%20DvhgC7agAQxgAdmQJqABEXXUB7WLBeCVBMcwxETsDaEwxIKQwG5gRDG7Do4gCMHAvFKsAKWwA7S6%20B9IbiIKAADKIANgqCDYwVWXAvaDgvYkldATxQf/ACOGgAxmBTUrxOuJQEqzmtTkQAcT0mGZ7mwyL%20timAkRfpBII8yIRcyE5wDCngBuf/gAI7UARO0AQRoLsp8LsI8AvACIyVoABtUAC6QAnbsA0rYFPp%20kUKA9g/PgGKUmk/9oYmF0AMFILli+8FGGohQgAYgAAFQEAG2msJbGYOly5/0Ig6MgA/8oAMYwwg1%20cF+yAMcO0Uar9AK9kAd7EAGVzASWbM2/kM3XzAQIUASOoAq86Iu/AK5R2gbtgAXSDAKR8JvYKkx5%20cwChAMZTBQXc+wA3hwOcOUE3chGfgQol8A4AQJ5LcUZz/BwfYMcRYAPEpFRJ5ZRRgAYpgK2BbMgU%20LciRPAi81MiCnK2AiAB6ys3bKwKt8MB9YAqKUB1VIWWfISu3wAepkMpQ4iGaSAQ9/yACgxrLfDrL%20gFjLU+kGulwJvKyod8bCwLwnLwIN0BDD0FACjDAEAFAoDJC+CGFHq9QAX3ANbhDG6TAPelqbv1Cb%20wCgI4HAAkeAN0AuRYUzOgWjO6LwH6szOPCvPxkQDkXjPMGo9WhFrOmq+xBGNSoFrJfEHd+i+KWAD%20e1Ne2qqkguyk+Ou2j7wDGR0BJ5pUwpTWxgQEBeAARMCJOnEbnRQAg4QSi7Bq/3ID6BAalYQNssCa%20BGETGEzTrwwCNhC2locGaBABEOADRXAETRDUo+vLXnm6s/IOu8ACLeACjJAKXpANhUa4DiF2s4sD%20W4AFUQCMT8mnSplUeqwAt40GZv/tCLzd2G3rBEdQmI3sA9i6VJStN0qJi0AwrEQwDk9iIHiNKQFw%20SakQDuKJdEwB2CQh2NRaBoXNATaA2Ger2E3KtuKdVI8d2ZM9S8J0DIIgxpit2ZxN37QxStdIDqtA%20AKJwB3uUASYgDjBABKEhGLegDiLb2ibw2jVNA7JN24dqS2igAEUAAWSw270945eHn7+9n1/JZx0R%20ShQjC2OQCqtwlg6BLVZgBdItAgRXefX7pAzL493tA04c3gs+S06wAzx03umdrbIUg+1dBu8tifLd%202ZL1D0pyAb2Ckzr610sX2IP9tQNe4Op94BuZ4FvO5U0A2Yws2QY+5t5QTBSOBRb/rliejQuKcAGO%20ARaLUHaXwALO8A/CEFA1gA0zJbAt7iE2AdswPtuCUNsWqdtaDrqI6uMw6HAt7Kg0oqwCkREBwMZq%200EBSjRBM7uRbIALVLeXYXeWoTuO5hOXgveN93uVfTqJhvsc7W0ztaebwneYYnjkloC/NGBIY8LGX%20sArPShT+TQAATtiGjedijqQIzth9/pR/7uCDvrMSTuGZvdmKbhudtFhiAAh7NNqQcAnowAi1sAC7%20AKcAEBJByeIuvsExPupWbuM4ruO+DYNALtyPKlAeMeuDQhwKuOQf0ORPng7WPeVOaeXDnuXGvuXI%20bpjK3u5k/uxnHt/zzSEdFAB6/3IJHFECXrAPAIAx0GcU3x7udj7u7e4P27rYCn7s6x7oD07ohn7Z%208X7hMF8b6AADG15blrJqJUAJ/m4LA4NcHnB0QtnpJ/HprhzqMh7s3F3qDs/jxCjUwI2xykgm/zBF%208bAKK84Quf7kvX7dVF7bI1/s6f6UXo7y6K3y7M3y0f7yE7QKAsAI0CADd2cOPjIoxcHaRdHzdS7g%20QJ/nszT0fJ7uDY70hP/u7o3o8q7mtVHvoG1bvRUAJkAKOvAG+AAN7pABasAHaiALnH7wZK/wZl/j%20N57jp65UqU6xEE/UQS5xOPkXwxUP4SA9E3H3u+7xvr73Iq9LJP/3Jw/mhO/s7v99+Ka/POIgozrg%20DrvCuin+DibU33P+35d/50HP+ehu9IB+mEmvm4UOiGbe9PNeGzAAEOhuvHv2bMEFAlUAlfiXxQMD%20SRgYDODzj8E/jBkzmjBBjlyVKhyJ9ChAA4QNBIL8rfSnwKUCNAoiQPBR5EgTli1fRvDhAwUKH5Ga%20GDDAgcOBAxwEcTAAJcc1FQ1uaKRa1epVrFm1buXadQCqARkxZMNo7l+Arhg/fLBiBccWEVGYMPHn%205NAhojlfwoyAxsc6RzdzDiZcd8cTITuK+DiwNydSpggMlAEi4gGRcQPGbU7b2fNn0KGpXmIErVYq%20aAL+yQKWC5uHf+JEaxUnrgr/Adx/goww86NMChscbDjOeQzNASdOIBwq3Lxukx0/d0TYq+DxgWOC%20iFIu4IBIkH+bx80mD/pGoULusGVbllBMlX/mxKH/F/afBAlnr3L0CFJkDxFMQkkllvaKqQgIyLAJ%20pwJ36umnoIYq6iijjGrqqaimKm9DDkNjSKMMaktgn1wYAW2ttt4SIZ256rorrwZdQqOvvwJj0LnB%20nDgsscUae+m6yCar7LLMxOvwSCSx+rAEsKABQAcvxEHrnwzqYwCfXdTBRxiM1CGrviQ1qu223Hbr%207bfghvuxuOOSWw5HwpyATjrqiFvpAG+Y2g4ILLwDz8gwAxXoElmGCAeYhED6/8cEcW64YUpz1JAB%20Faz4+ygkE0Yq6aSU9HoppplqEixGmR4ESiiijIJsqQuhkipQWD0bYFb7arWvSkoHQEu2fxIY4yFK%20q0wLRbfgkosuu/AywFMZaQRsVDhZ0hExxRiz0x/IDJCMMssw04yzWMMlL4BZMQpAh1uySYBXXTNa%20Ba0AUsHonXBeeafdQMfEjQDdePMNOOGu9cc45JRjLlpp50Rhuuquy27P7r4LD1xxOcTlhgQSsGUX%20e0BSlFFHyxWnon8+rMpS/zIFUMBOST0wwQWZLdWnUyVUtUKmnHJVw4p7zqjcjFApwZwBxPkqI2Gn%20FECcVBjRYcr4OiNWRRaRff9xWZedtRFhaXes1keXgNRWyG6LpNhntLcaoMpLUrFlgWf4SYDcACid%20stb6PADgovooDVPfMv1FM+A1WSLYzYO5ljO6hessHNs8iWoKiIj/PDtt8wq5wQtZGFgmFY8XbVTD%20Ei5QQ4JLKu3o0v82HVBmUGmKmVSeaI4w1aOSYlXnDDH32WheMwoe6NT/ucDcfzDgxpZ3VPNsamNb%20TBbGlQzUGlqEp+XR2sez3XZIbwH1fXyrBkhFAAxkwYCR1MUBi8naAlgFo7BkIasEqP+2bd9+zwRY%20zbCxqWBv4tpzGMewayHlYULqk8TER77O3OASlPBALjyQDUCEDmQ3MNktPCD/CdX1B1MjCRCnCFS9%20TykAQQrC3l5qByFUTSgpFWpV7yAorgwQ7We8cp+UqPSOC1wiARjBADBY4DyTcQV6K5Le1WB3vRtl%20z2s9SmBSxsYtIn1rPDckH9TCog5b1AIDq8CXbOzzswG4gxsLsACVYAU4fpnpX2kS2OEMVkAD0qlh%20LMGTnoRUuYltkYtdEcANtFEOfOjAAx6Dzwbd+A81zC2ErFOZ61qGQhnJRHYtdJDtYqgq3eUMQ68a%20ZJKS6D60DKAEZ/xH6gTQAhfYQgaMuIAFspFKoHVlicdykbKe6JdnRTFa2vtaFYOExfBdrpQ9kw25%20qMQPPjxjiGAqWXzCIrRZ/5UAA2oYI/3ytb/A+Y+OjxtYm+5YwMXpsYoL5I6fArlMrjjKC+PIACTe%20o8HRlWUVzxiD86yCshGuzISwUyHMOOmSF9YMdzO0EO9ICU8Oscsq4tAhRi6SilzYQgOyKIE7brGL%20WrhAA89jS7GYaDVfZg2YW0PnFLkXwDtZ8Xtl0yJEMXeJAIgjAbd4BiygEQD8hUh4GcjAGVmADQGk%204nhvBGccBfe/OpqTgIpTGAK7F7k9NdBygrSpVW4Agxu4Yx9DqIEA8OkoqI0hAAEwyz9XlzJNseyE%20OslkqGaHyZnB0Ga5U4ood9bVDmXgQ6nAgDuKV64BXGIVGsCHLYTRAgwkD/8Y/NiFMEYqtZKqiJfT%20wxpeZ7RS7A3TpWCzDh9lSrYsPhCwsEKLsKCxDz4AYKT2Mcv8/uE3iv5DHeHAhon0oz8yOVWchIPp%20Suw41exV1XHFVaB2/uhO1a4WI5q7QTx4mo1ENTKfA1jFKnIR2UnCVaCvc1lBWRhFF5rqdjLEWQ0f%20Kl3QsJIBOuDGGISRv7bGQwYeSIAsLGAOWzKkqCRNEVyq1kvq0ZUvoBUmnIhJxe6dFplm4yp8k1Qr%20eFUFqBiZnypvixFhLAAjwvpmcPs3R+KW1nBSTVxyD7hcFUPOj1CgHHSVKd0bmEAb47jUIm6jXXTA%20IAAaUE0NapCKtp7srQH/teRcDaRJUaG3k3pdaCjdyzMLg6ZKGUBFLnaRi3fwEBXBq0oCatACvpFY%20iZmNHkoTbD0G4/HBL42x91CbzApnObDC+4cALhCPEF3Cb5LI3youUAJtAiABzlPzkeB44sEBMMbl%20HGCLh6ncPcaUnXyycZ6lezFFXCAXMlBHdm/LADB6yQsDAMAFGq0RgP6nhOT1rHnvquCErvdmNHQo%20lvWcFsHWhxHZKEABqnEW5/nNKmrUgSQJbNIDc/aXNQqtg0drzCuCj8K//psAwsKAIUCgANDAiLLD%20col4DEAiGJFFOLJhgRIIusT8k2Oko1ppOWM6gVh9rgNvvFrNmeAdNeBG/zIusAhAEGBRDbCAMDzg%20AhPtQwc6cMd+ltw6uRLUrgfNq0JlaOVec7szJJaEBkTBt6Dlrypj0UgSt7LLJqbUs1CU87UjfExt%2011TkHVqFsnt1j3uAsD6Gjvc/3kHxbLCgZAnIxlLJjKRH1xuq5DyupR2s7whvGpDRxfElbmCOWLjD%20rLdZxKLQEQ9iJKAFu/jHLVwgC98qWYSyznh5V3jr9Hpyrwz1qw13zhXuZqQFkliGF0acy6osNhy3%20UEcJXq2VJUbbiSqldoNxNGfSim2mqf3330VjvqKDZK2Jb4EGWtACjLCAG3zggzrMkWSoNxXSUy8u%20pRGX7xdnWsaSo4xW3//5a0cxIxXPeFIGbwMJVOAiC6TQgAfSnYuchpfJda/1xqWMUPV+kq+7G6Wv%20PY+VsBhaXVlC+eMxUoJ3IDVomC1wXGL+5k/RvKXUgjBzJZxzrn//Mz7EiAv4oINYKDf5Yat3YQFG%20YAEXUA11eAV3cIf5UbkOibqnGqfaqzrcU6esc6528jdPW62LuQF1GIJ9eIZUSDjtQquMqIFsMDyL%20mzuVmbVLUrCXOS+ZyTXt47sr0z+tQDSMuIBtkq3zkw3YowoPEDFzkJdno5r36ywZlD/FsTn7wzma%20yj8d9Iq1wYhLyIZbwIYEyIAAaLQM8AIGsAANQAVJkAUdwEIIjEDZkzr/Cpw0C0QnrGMufqOxreu8%20riKCQSEHAriAH4MPUxgBdEAHjEgFVHgGHVgqt3LBuBqo8rK+Gsy+vQO57qvCq7Ct30ILc7iEKhm9%20q0iFVAiHGhgpl3s5NnM/N2NCOKu8mqM/OtO8O9s2SwQN2TCjf7CA/lqqsFAlhhCw45ENdZC4y2Il%20R2vDCUyxwYhDqsq9ddJATuNAbiOCG1CEBBCGBFgGhAAJ5JPGG2gXcwCAAVBEuaMkEqI+GbQ1jrPB%20vWuvkJtFqzCHAVsAeYyH22qrNewSbAg/atKlU5Q8mWvCOJu/7ck805JCzutAd8wKo0GF+bkAfvgH%20W0gATDQ/IqoBDxAw/6YyMTdERgG6PTlkxqvyo3YqhPEwhs4TGjMixvE5j4HIhRbIhUs4KyyrAXwQ%20R6qItUoyxyeDRNqRxCrrqxxMyIwgF/u4BDUoAFhQh/qYEr8hGqOhHzNrAXlxH/Yzqc2avJkLyCd0%20RYKMKYPEM6EEjQ/JBmzIhXWpj6LJCgxYAAFggNaat3BCMUlLRha7wMbRvebKKge4gfGAhCCAhNoI%20zMDMpdoYJIG4gVUQhl1wh0QhAEgwBSKITLBIhQAAAAnYsEUkx/GKwSe7u3T0SfbitUoMS42Qn/gg%20AFGAhO6KDbTARA5jCHfYBHyIB5tcs/bzR/hrFq2UIq7Ets0DS9Lsiv/iuYALyAYAyIbZusehxIBw%20yAULwEzgordjnMuOPKdlxEA6nLEag0baKJqn852vgoFxqAKz8rHbEJ0bIAJlU4NDkz6Mc8Tq26Tr%206zhd276+e6+ErBVKeQcWuKyMWKWMYAABEIC5CQB3gMnY+C1+bL+r/MdVDKZWHEjfjEWdC86t8CJZ%20UAdZOB5U8JtSPD8MgL6MqM2IMsbhos4Vw7ePxM46ww5n7I5CwIUSgIRxuAPBFEz7wJ+iUUnMuYEs%20MAEGWIBswAAxME/R0cP5QYVUqIG94dFFubgX1MkU8sz5VMeFYsfRDEtnwghxWIB94Aal5EH6KQFJ%202BIW4Ic2cgduUgf/DCDRrIi8JZw2CBXIYrq5bJtCPLTQskCe1RAGYUC5vsEKdQAAhjCL7yxRjZzO%20e/PI67zLfRNJPiEGzJgYSLgKn1sm6tKAL00GRqISdGgAItCIXFA698xJ+DxHnsQrK/04oGzH4JQS%20xTpTFpCXsMAfjWhAd5CBNmKBISBLHYiHQ8UKmEtFOWWprZRQO/1NWdRTrIAXMpIEysoFd/AbosoK%20DwgHGWArN90QCTzRRbVOF2NRh3FGCHgAdBiPchgHSKAVdh0AePzP1bwhr/OCeACAXJCFe6oCozEB%20R+kzjJAAc7gA14Q1KC3HU+1Mg6pS0Ny1hspSoaQUsBhKJBzKklGl/wRwBw+oBdiIBR3ouQ+FvH6M%20U8qb02Ot0yi804Nk1rRIhRbAhxIpt63wEo0oniTpVrn8VuS6NJDMTt6jgRgghhcYDyrkoYEln4vh%20BWwAhmcwuCooB4VjlCD7Bw0ogXGogVug2XEUrybTOPmMRL37Se77KwvlMjLFhn1gPPn5zraMB0bw%20glVQ0y48v6rULJHNSlak0/pr0a9cVpWtirUJC7PwlRY4nqHhMKx4hyHQAQsAXLgUrpulurpcUUfN%20wD2BABXQgWzgByGdOM7tXB3Y3GzIBlnA2pXEBWvYhFuQAR3wmKe9BGfIh6OjRwkgxRbUTBh0silN%20WK+lstBsWLENy/9cKTcdMLJ3oJ8O/QfXJDHmXIB3UE5hDVliHVlj5U1kPVllrdC+rQqGSKUFwAB+%20UIelAtCwCIDUaVNxyICBkwVJGLDO+AP3JYA+2Jd9URRyGAdKuF9KcBT9XYM1qAMQUAADEASctbrL%20m8NJs4GYUAAniIQwWAcIEIJvWIdvmGAKruAIluAnwIICuIYGyLKO4ocWiAfYkIDTY8Gsnb6DTaFU%20xTVJdILGGAw3OIQwsANNoIIXkAqQIIATOIGE8EsSMAZIAAMh5rbxzSEqCUdvuq1graWmq4+PfV4G%20rVuAvNuSzVtYnDDszV4xKTcGUIMFAAZsUAd/6kGN8QD1WasE0IH/MyrarHDf941f+aVf+71f/XUU%20SuBf/0WDAB5gu7Sq2kPgmFjgIxACIYgENCgCcIgCGzgGKHCDnvAGQbgCJpgHMlCANjCDKaAE6XpK%20VIgHFvAARnABcbgFAIAG/7zJgt1M3M0kKt3dmnHhSYsAVagDO4iBqGgASojfHQYD3BiHIPjl2xji%20X8OXVlqAS5ABiSyaiMUKWQAAoGKIbbUKOI1euyVZ6jVZvUVZ4NRijYDHM4oHDcAAC0gFYQnYkkmF%20XYAGtWMIFgAGF5AB8JoNj/AIjdiMyHQUjhCHICACMzCDNkgBQZgLPpZcPz7gBBbkJ3gCJ/CBCCAD%20A0gBRkYDiUYD/xsQBARAADJAA32IgTUoBOm6wlYSYWiACACwiDEmWEYkCSmtq67tSb2D5ZywgUGA%20gkPogGvwhAp4gREYgTM4g8hcCyUggaD+ABK4gGBdrQvwm1V4Gz5gAZqVj0tkhHBQg4r7jGFFMFWM%20v90Urd5MVgqlwuytG5WM2LVxvNVQn11ACxbYhJbFAIrsinkmh3oeh3vOMUYJgjNYgx+YhBQwAIGG%20XBVt1IIeDEBW4Eg4gidAgUioCRuohEpIAciOAMhAgEr4BRsogzbg6A5erfPdRbT4EDVogSfGSYOl%20tXNsZZfWK5jOiRQohTCgZU84BdlOhFNoBNtuhETIbd1uBAtASP/AKhdaVQcN4JUOdVIiErFWMu6r%20mGasLtZquzwozObrBeu+lQ2h+QdJwB8m0YiIfYfmiywBsAAd2LIt7QrxOG/03gyPSO9xIOozQYC5%20YIKBFmwYI2yJdgIFOGwUSAw3KAIy6OuInuiKtuhjUIA6wGRN7ipb4dKyGABuaDU2ftKU3tpHbGlV%20bWH8tg7JSQEo2AEnwAIIkAYsWAcsKHETx4InOAcSL/ECUAGRm58P2YUW8IAxPurkeYVL4C7EM8Uo%20puYptmaurl7p/uo81dPj1QhipJWMUI2JwAh3qAHwUm6rYG/2Xu/0dm/fgO+5EOAKjFz61j1/KGyE%20RgEXdoQUQAD/f4DsFJDspLhoBIiAIgABzf5tHuKVYPuHvXmkE6a7FGZl3U3tV4ZpyaGFFHCDI+gA%20CKiDHwACRk8DR08DICgFRh+FEAiBPOgFkdsVjMiG1VMHZWNfDYuHEazqIQTZ25TiB53eIMfmK8a/%20ItfT8UXeMzrfoeGVVKJYXvUA25JyqgAJKz9vEcINRqqCzViL3sgBA5iHSZ7vcJ3cP77v/EZsFDiC%20/iYDMgAHa3cDR/aBY7iCKxCEAqflNUhwmwrM2EhLjAChGuADBohw0lbpPocJKMO7KasZpAgbybmC%20OEiBIlCGddiDIyAKl5gEJyiFMjAEQ6iEUSiFHMACOeA2TFQq/w2ABl2nEsWycS+Rkl6c2zZrbul9%20bufAvAnFYupmVk2sD7NAd6poK+cxCwxIw3Z566rw9fpF72DPLpAo9qdS9nkAILoM7GYf7JiWaMOW%209h04giJIcw6AbJeYbMpGgFIQd3Ivd++slaUaA0aY2D2P0nifQXrHPr27dw0nCsfmcFrAgjIAgSho%20iqCYBCiAgihIAWWIg957eG77wioZgFEVBi9AhSRTTncYAhlYNauGXo+vZlW3tq62XiL3bW5Wm5LB%20FdgMB36okgjHCjDgYfeo31++AXHogz7AARz4sYTQZ6KeghjYg0hwBAS4AmbXWXEdejTA78NGjEiQ%20CTKoBBtAof/JFgRBsIEIOPBxz/T4eIZmutHAfHcKj88oc+UIAZuciHsDSAJ/BweALoqCcQmi2PdJ%20oIEn+IK7d6Nz2QcJeAbYiBo3kpcMEIAA4BsLuAWpPJFTbNDcXDAqvmYrLkht5tvHB4h/AgcSLCjQ%203L8BqP5l+LdKVjaGARwarDjwBJhPJ6qQI2ds3DgTJvqQxFHl5Ml/4z58mKLpR5MInAQdUGDTH06c%20x9AccOIEwqGcQocKddJkBwoUOyLYbDrUBho0CpxEOvJESCQFEchUOuavjM0DBzgYEITARoo2ZtZQ%20suj2Ldy4cv9NnLhJjaRx4vby3Suy40mRRHqIoAHCBgJBQpv/KpBaBAKZIkeaLG4awYePpD4iNal5%20M2cUBP7IOFqXJEVZDj2d1DSAgEyKHGFEfJlr+zZugqhQrYLGJ1sLLwIHCMxQ4h+qFrLc2XJXQp2O%20f+YQrrrN0ooVHFtEpGPCxJ+TQ4cMGKhsE00END7WOZpM9H1OJzuu7ijiw/NnnGLJIjBQBogIDxAx%20zgAgjZMbggkquOBbxyU0gIPqAHDJQOLcdsIJBFSxyjhnnDHCCA2I2AAlDRRy4okgjqBEGiHQMEkk%203tDC2FA7rQYUfPAZhZRSTNEoFFRoOKFAVVdltVUlNpThT1hjlXVWBHWs1RaDVeImzkQACJNQX339%20RU5gJgxW/4BhiCmWE2NSRQCBD5JRhqZlmGnGGX6MQZFCGUkos84eKSQm1iHhHeBPCm40MclstVm5%20aFwDDNAQXZKIcwlx/1iYUAniDMBCcxi48w8GwOjgQgvx4HZddttF4R144pFnXmPprdfemzkOJR99%209tUp1H6u+QeggAQayCixxS5aqUAL/SPLPi0IYE4ACNlGAAEneHDLJtxMYQm33VqyibfeegKBGS82%20EUkRP+Zko0842nrrUUktxZgCT0U1VZFYacWVV0yGRZZZaKnFlrEFDzTABcipwUIAXXppAmBVCEZY%20mYnB6hhkbsJ6WWYobNaEAnXadKcCbpR2mlmACkqoGwdMUv8HbQbL7GhFexW0ygBesLCzLOJYUIMO%20wrCQwKkfYKcdd6yGN155cJ4nK3vuvVvUfELUd5+6/vTa338BDlggSDKLPXZFxA1wqXT/JLDARAhe%20QgQ6D8CSRwwgSNOBI9LovbfeHdzdQQciQADCESD4mLU/7P4U1NTxxdsjvfYKSaRV+iKppL+9Bhzl%20lGQTO0B1/0gAAAOoOOwXxGBKLGYPZB5msdONacWmxrFzPGcTHHCAk01DRlKKE250AMEepSAwj+5i%203ZQCbIjG7DmjFoLeUMKPDmehhSWkIoA7+MQTQAK1oHLBcQ7OhSrSq3639Kuxo6de1LU2jqvVuma9%209a9eCxv/NvT9F7xQQ8ZnoQBgoAaf+scFIDUXE4ijEKAQASZCAII2lAIEIDiEPjIonkNMsA0gCAEb%20sECDHEwCLOlyilAU567Ggedx80JckPBVuSPx6ytNAthZ0tI5/zHIAizQwCoWYCpLne5LYRpMYV53%20Jt41BWORkRoTbXI7j3FGd1GkCvBMxqdSzAN5qvEMoZpHg+fxUEEZUCBBaGYp4oQOIQOQVgGFoQGB%20mE8u6NtOd9bnqqZFMVbwoxULcUK/q+0qJ/jrWrDAdqAyMpJBxGkIA2QxR7UNoQV0xM2HXjABLLAh%20CZVIByhBOQ9BCKKLpRSEAaIQBUNAgBbKiEASyEAGxKmQ/3Es3JG8DpcfnATJdzPcV5KYqDkoSYlg%20jUQQP7IRi1XwwQLxYMDpxGHE1Y2pYkv013lm1yYoYlMrcqJiEwSxO3/5ZBIgmEQOOoCFPYDAO6jM%20CXkQEIcUOCEMT1DUMXFTqUcZZyJos9RwBLIKCyHEHfvQgSQcgsa43FEE6msV0y4GNUAGcpD2Q6F+%20nMQ1YH1tWPn8KG4akoBcyCIhHohOABKmrLmo6AEQ6GQK8sgEBMz0eL+YBwL6Q55KrMMQSYhDGSrR%20zRrxpF22nJ8LdVkvIN2LKr9EklfAEjInBUyHxgTpXGLxDktiCxuv0IvDpjmxJJrpYgp4zBPlx5gp%20fowDZ//qnRPMiajhsdOdosFJPOeJhkRh1TaXIo6mBoIKZP2jfNIK3TuykQFUtM06RktV0vQYUfdN%20lJtTsyjWMKo1jeYvkR7tK2jLJhALQEMW1cFAOG4BABZUhwiufS1sY0sEan3gAVhIgiFmagDd8ZY8%20viWUAvIEgRRAwbd8NC55VJkCBaQAAk5ALnSRy9xBnOMcg0gBPKOrSpxAwQ3fEEJxIxCHSkShff5w%20TSmZYACrUoIk7n0vfEkSMZRUgVr2tW8QgmCg/RpIJCK5DTR28Y5tYCNh/4AESILwARIwmBI3uMF7%20KVGIU2AhDDftInR1YoNKQAAKEXBDBDJMqGMcAwXngML/MbD7HjQsV4s7qMlQdmoDf9gHDd+YwINz%20/OA+4EAeJPkEDnDQh+Eoa6UGuS+Sk0wA/i5SIPOtwm3+Slh11AADlEKgf7Os5Szr5Qwd6kVhyuCa%20dOwuFEdNU2Xld9mqETJrbh0leXKQhgIg4gaAWARHBsBjHGhBC1bQQh8ebIIAaAEMYLBCaHlovQww%20Ah8s8EIJMKCDAUiCQm+TLaZdS1vb4jYdBvgOb8liXDGDxQ3DLY9vSQ1d5aaguc+NLqzLkALqWrfV%20URDzqpULhe5+FwqEigJ5zeuaeXRnvQNrb3yTLV/V0VfJBMgvk/eb5duI5AKXWEALqpAKcbCk2wsm%20Qo5J//JgJXABC644xjyYgFPkavgxV/hwiNk9YiicAwXHuBN8PFyy0rx4qdmdsTet0gxtbEMRBj+4%20H/ywjU8Qwg9a8ANCAiuOhRLE2c5mMkGefJtMIWefAdDAEABANIFsueT+BckZynEGOYTZAN3RXaAk%20+kfLvguzhcTJm1FpADkX4AEmqO8i7gCJPfu5z30wwQ1EUi0KUCDRjbyABlLhqHfwIRWXNLnJwXCC%20cdgWCKfJ6JD8DVefRAICTZAKccETOUJBQUjhgcAk6CV3euFSKT2Ze716GdcZoqEJx4jAMXo3Vd2h%200gZNqMMa2JLfxTO+8fml70ksvuRoM/m/tqEGDEAS8v8E1Ne+zU6yxBqRxAtfDD20O0IRYJWCb35M%207r5rAlUcAYEdwN4n+QFHBFIQiUO44gl6ywPwgy984WPhEthLiLQq4u3lM/8DGB+Ixm1D2OKAagEE%20KUFHsq/97XdEIKYQBxHATAMxI4DM/gjFoCg7czXXnM0X3aVbdW4ANABBE294ARFe8IIRfGBElPi/%20hL2AEpDACOjfJZiA0/VPAECKQgzEO+wDPiSEAPwD1pWc1nGdCOSAIRhSTQwJnPgE2ZmdkKjYVPwI%20cd3H2x0C3uFd3R1B2M2dP+hdvsRdE4CYDTQFa4yFWxmA4RWTKTgeEC4e5HXexVEef1neXBCBl43D%20M5j/QxXIA5LJA55hCBViiDyYQCMUQB2ogj8gwBWUHlpJRurFzup1TOu5HmfE3jocQaDYnr/hXgqg%20Xu9hgQX9gB2CgB3+QAfkYQj8gAgwgAKhQvIZRPMVovPxV8YxG5QpCM28QzhgAwYk0D9wHyVmX7KA%20H8vRQCmQBxPoDmvI3KzQnK3YnJvFH3lAARAUwBSMgREYwS0YgSdYghHIYg20oiV4AhIggScYwRjU%20gC0kIPQAFs2Igzk8xysklEAEgKEtIzM2IzMSACIUABDkAD1NRXg0hViIxdIcQhgAhU/UxAEEyiEo%20Dzj6ABpsEAToQzauIzuuo3iEQVK4QhO0YTvWhDco/8A72pMQhIFRtIlUWOMhhIJA6g4+6kPiUYIR%20RhuDkcCCNWQhngT3EcR+3YYSsMQI3AIfiMInUAuGVAu1RN59VYExvEMBtAMN9IlSNREaPAZnTAbe%20HcBmJEUkcAZjDMnrHcIRDM9kqOALnkcROMERqIIr5ME6xEEchJJRqhIfXdc5eEHyCaJbJKRUNtkk%20KqI+7YYapUI8YAMjJGIlct+DFYIJUALL1cEm+hYHoB8oxk8ggYf7ZdYuHQAa2IDO2cARoMA1aIIm%205GUeoADfSIMm7E1SwME15AEWsAIwNtIbYYAaWICylIAzRmYzEsADSCM12qQbTpXKvCNQhEIOhqOg%20gP9jyJgjOqpjT9RjO4qHK6DAE8gjPbZjVIAmNz5BHnjDITSBP8KVmYUC4R3A4R2kCUylgTBYQzIk%20QzYfRG6fRH6WHSkBNYwDH8iAABCAFYgCBWDIJ2jEIizCCXAnhizCP/BAAWBCG+TACjbGSrJJE7jk%203MFkJMgkTdYkvsBeJJQGG/IkvUTAARTBDqhCGEjDE9iAAVSCTvkKarRaHETAN2hAxCUExQ2EcBph%20ItKXPk1f9SEHhVTlV25fWN4AWUJQGeAaAqiGE6wlRd3SW96c1sylb9nlE1yDPiBBHdQBG6RBEzQB%20CGSQPlhQDpRCDuxBDrTDNchBYpKNcZRABjjKpbz/AzfgQ8I0xEJGqZRGKYaUQ9edRuSQR6hpoxN4%20AwR4Bm9lI2+JEwccgw0cgJkBRaitKZuqxnrKi2i2KQfYwJkeQIxchTccAOBFAF2qRloO5Dz8Ak0c%20giqYQQNIXpIFIepkmbjl2LRBKFXGBTqUwzhcZEhkAAMVgmt5iIqAiId8iBL0gAipQhEgADiI2Iyt%20iQ9EAO6JWAqQmGYcQ/oRBU8ogA/wG4wJRXkgwDHQAoh5A4C6gQ+ETFT4hDfEiGoewhN4wULsk4UK%20RBVGq7RuHSJCn1VG2UBASwmUgAWEAx+YijiUQAVumWuRSCFsRx1MwnlpqViYqCjmCClqVqCggc5F%20/wEZrIMQeIMrFEERREAwXAEnXAE4HIEbuEEcfJohJCgbQAA+FanY/NWleID1DcQqTKnFLiSGEEFl%20ep3cras/hOlqeCk4gqwOupXumCmgqKmctqlY8MiLjSyb0ukXzSSe6ukx/IINuJVYDOQvcICgcsAh%20mEEMUEKGICp+AeGi+lejCpp/LedtBAEu6NczYMMBJoAw1EItgMIbbC3Xdu3W9gIEtMMeoEEl/AKq%20/VYM2gBasWoRuOoxZMY5uAGLwUetatER5Gp2pQA4OAIZDCtrHgFP1IQPsIZ4eEMT+KeyMgBxKIsa%20GcS0Pi61TqS1UqhfJWlhpYIGzJE7fOslhM64av9Zuf5fWaorWrar+oUi+41iimaNT6CBb9krCgiB%20PniDKoTCKPxCYuyWU4CSa9BCCDWswxoLcZTARBBHMb5DDYwcctQX82qIhgyhxJwBCeABFozCgPpJ%20q/mJd+RUTkUAB3hvBKxDN7xGMCQG956v+XYDGRxAN6xDqaIv/J5vznKAEKCAWyFG/CYGKemODRzD%20N6CAPwiCDXBCJczUTPlsKPzCLwRDF11BEaiCKnBBD0wwBVewBffAI8BDJswBdnAwdnywFTCdg5VI%20jhGBCThIQ0ygRfyTpgxAtYhCFdSADMAACchBAVwDBFzDE6zDOkAAFjwBFgRxEO8wBICDAivwFXj/%20Wn+oUnldwZ5Ugiyta4EiAIGSwRXAgRCAA2zsFIGSB2r4wyCQAS2sw4f5yRLvVByEBlNEAIC2440C%20pSrMYxgcAgRIQgmcTbIAlEFIwoNpw4OZQh8wg44F2g2MQxCgwxno14SixJXURQvIgHCoQy4IBAMw%20xAhk0hkUwiV/KiefwYg0gDbIQQzYAen6lun20fugblvG6y4dwiTMpXoJwhWgwDeAA29eWBclT03w%20R2hAQSTcE4KgguX+k22YQ6UQcxkljDhcQNswAjcIw7bijNHe1x8EwQi4VCmQF53SaXnxLikJ8Jzq%20zjr8wjGAwyddwTen8zdXAjgcQxGswwGoszyr/3P/goMQDIMsCfA8yzI6mykZgMM5CAEn0CUneKEg%20pENijCknzEMwVIIbqEIOF4BETzRFV3QBIAMyFEAgzAHTdbRHM52HFoI2NICjKgL1pM0KE0QLE0KG%20rEIuCAAMfIANRxAb7IFPyUYYhEEb6DQN/Oc6gAMnBPUo6VxOpRJ5te9rHEMlXIFrVAKBLnEc2MA3%20fIO9KrU8AVslRIC9RoA/RAAtfEMKAJ4X+5YgOLUBgMMg+IAQrIM5rqNPSEagqMIheAMKMIAbYYqj%205DVWisMNbAMzEII2aAMhmMI2FLZhb4M2oIN+gcRESEv05cam8MM7lAAj7IMELIAM+JAKsAJnd/+2%20Z382K6iAaH/BGlxDuq4reZxyN6UyW1bU6srrK3OiLNOyN9xyF+GULmtUaOwVFgAvXGzrgqDRXjwr%209BzHBJpNpngANghEhvYBtTg3AUC3dD83LpCAEuCB1Ww1LfBrBDi1dxdBJfCreLdS7nWDU293eHu3%20d3eD4dECBKiCese3fFcCLdTEVB9ACtBCeoO3eiNABERAv3bG/55VN6RANwyoU4t3N+DuFVyBIQxC%20O0BACAgsOFS4hV/4hWPCFNABEgzgC5AAOhDg/oV4iHxyIVCCawVBcK5COVQBeNaMSisEhugBAQDD%20GMTDCzzANbQDEJQCLRjCKKAg7E0CkYOAIzz/QSh0QzAIaqslQRKUQgqUQhn46Bj7aI+GKJRn+ZSH%20qBAIQY+WQhHkyZOXApn3aA6AQAc8AQh8OZlHgJRPOZn7qN1gASg5tU5R8RWkQBT8N70JRxq5xSbF%20gPAJ+vABXzjswwLgwjhMBKQ8tlwgizmoAzSog9oAgDt4gDpIQi7k8DWIwDV0+qeDuqd7ujTkgSaI%20AB3kMBuU6G954Om2NormClz6mz+4MouWxSx/w4vZwIWZhWqMI2vYwJ4iSm9fSaUEQAAQt0U0LlZZ%20iDLTxT90Kz8IhDtwQyBcO7Znu7YHwhh4gie0gWmUQTd0V8E6ecJGwRW4ARkUrA+4QRF8Qw3u/4AB%20kEEUFKwsydIVRMExwMYgHEEEPEER3LvAD7zAK8AO8Mgg7MBoELwV/zM4FOzBx+4OuIHeGsAggNK6%20+4A3uMExlG8cIIAydEBJ+kp/lDzJk7wZIEEIFIAKpAEm4GIuxnwuGgEStCIvtmI/4MIFjIMYtPgi%20GgQLOwo8qIMXnAA2CED+2fAPeF0lGEIlQIFvHkokyJUjoIAtX4E3/AIUODnXh+ge7AEtPIGPAkGf%205MkgODmc5wAQCEEeJEGP78GWJ8EejHkOsEE6YUHdl4HaJ0GIinkS5EAZeFAePMFRukYUpHEqJWgc%20VHgKrEM8LASSIkfEKekauVSLpIEdhoDmZ//+5kdDAQAAh5TASjn6XOxGCWhAAggHRBCEBGgCJpgk%20DdRBG7RDGrSD7d9+O/RhO9iBHYiAJvAjajNJib76ic7Pa7fyKwtoKuX6i/lsuvk6mn6jsP/dyxS7%20sat0NJ1OQqzCcUBIYzFS21yAB1hAYckCNmRAAKwCPRQAHLS/+78//MMBHYTDp3MSG5iTjuoDBVmQ%20BQFEmzb6QuiLgcUMiDY/coAoKBBExIhtFNr5USAGRY0KOW6kaKdOGxFYBNqBuFGiQIJ16mC5pjIH%20w1KlQOizafMIiBx70rQpMKVMUKFDiZYxNCoYBENwmDZlKoSpphhSpcKCtSlIEFTkqhA48Q//bFiw%204sSKGwCpGj17AgBcYkAk3zU6U8yY+SGtQ107ZujyhQUhhhl9dq6ZiRG47uHAmgoYDny4ruMYfQs0%205isZseIpMa4VWLP5cmTDkdfEgFXgx48OqVV3WJ3HjOsYEDSUQLUqw78MAcyVsD1ggDFjXyCkEY24%20bogQdYHBqoVu3LhLYclxrXJdbHbt2geUAOtuSDZGYCWciwAuQooUEWysd58+PQc2rsJck6ZKgQH9%20/hQ4ceIPQP4UGBCNCNDwYR1HjmgiwAYdbNCJHZ4QYocifDhgwAEbPMQJNGzQLwo3UHjiCA7ZMwAB%20QTg4wD8nFGgPiggiqUOEL7a78R/v/gEO/6xVcLyRxx+FHJLIsErIwEcPPBDmSEYA8LGEFsIpxZAq%20rbwSSyOMwCQGFH5ww4kwWGKJhhyAMLPMMesIQQR92ghpjxzqoGFOM4E4E4g2aCBIBDtoKPPPHAId%20FNA568jjGjrnBBTQHNCk4c062rlGkzTgbMNRM9WsI4z78kxDhCmSGJXUUk1NIg5DlFnHyjJKdTWJ%20MvTBpB1MLMFkijU2OYMsrgD5ajuywjJrAHoskKWKGjaRgBUL2LFkqh/0qcMMO+wIYa8ptJ3iGmhj%20sFa5a5ULgS5yNcG13HCTw4QvdmPAtdoQ4G0XXb7oQFfbcfdSjq5t1/hBItZSayOENjqIIf+NH8bg%20gw81AACAYYbV4AOAVxpWAQsk6vpBOY7HNWO5IWqIp5wgxjGHOuuwKxKsAbZLYAxZGECZDxTIGMSG%20Y8ggA5ydffa5PR9UoQGFPA7Jb7/+/gswQwUKPDDBBR+cOsAIJ6zwwqYh7PBDA6IgY0RX9EGjCCgM%20EGQe/lp8MQIoUpikJRtZDivIuf8JwMgAMnDZ7r5xdBlvFjTwIABUPNgEGz4weKcAqxx/HHLIC4AA%20AhGuEQFzqzDfPHMRHC/Ac8wvhyV0zi3P/DTSTV/ddKsqu4Z01Vnv3PXGMddkdcdF0IRSESprPPLg%20JQdeeKueEOH4zQtgRQAYAgCEgOhvFHb/rLOI0aGYVGpghAFrtPFCjyzEJ0WKLjo53wsvUrkglUtS%20IcALDbIgRIpOKuhECh66yML8LixAh39d4IEUNtCJLpRPgFKAQRe6AAMGkK98BmQgDySxPy9kIR64%20uGAXSEE+BiKQB6QAnyT0wAATxk8DDCChHsBXQj94IRYMSB8D4mEBBqQChrFIYfxSEYsLSIKEXhAA%20A/RAQg1oQA8CkMIlRrCKGqIMLNW5zsqKJI4S8A04KPMANlbBIyqcgwnzCEYwmPALJpwRjWiMAyei%20oCAUoMAV/tCPAdS2NAA17WkIUhCDqDY1q1HIQhjK0NY8pB8biEgE7XCTTsowDybQUZBy/0QAGSIg%20JyzIjWWoCMsqJCGAC3wSlKEU5QUCUIIf4s1vqcQRFGWBj13kRhZq8EI8JPEPDXRhA7nU5S55ub8N%20VKACMwjmDGagS2Ie85i6VEIPhilMYm4AmccM5i+XCYNiXhOa2cRmMTcghWB6E5najGYygfnLGYAz%20mrm8pjOlYAwNnK8TBZRnPOk5T/5lYYHi21/4+JkFPYwTmBUIAllEcQKvTK8swKFGJ6gxDh047Bki%20U8NEx7CJMVABo2OIRjSeAYBnRGMfz6CYBPZhBCqwgwpaGgM7WCqBTbBDAlTggyVMqgJ2jEFLLKXC%20JjZBBTWg1AibMAIAWDEGbhhBAgC4Kf832EExKuD0pChdgyUkwA4AqKEGQ5CYBG5xC4epIRDAkMAr%20XqGGkE5UDS6twVfHcAsJTEwN3KjBLcg6BrGiVQKBCIQaLPaMcIwBYvFI2RSrYDdUkEUcuQFLPMLx%20DHeAhQ/DmAcnzsgJTsxjHoIIY2bDWIl0pIMWbHjCE1zRNToqrUF4NJAepdbHB/0Ra4LUUNW4ZkgR%20PUGRFMlBGc54Wg1FIQXAFdQl7RYAlzFgAfsIx3KZ21znMtcq+5CBj1CpSuv+wxy5uYQFvDAAVNTj%20Ge+wwDswkIoEeMEd8WCEBRiRgAQwAr7xha9719te+L6DFwKIhzq8gAH5/hfAjPAve+P/EQ93aIAR%206k1ALBiR3gDDVwMKtsCE45uAI6pjvvCl8H/fC98Cv8Md7GVEhL3wjgZbwxft7XAx7AvgCVvYAzjs%20sAU6/F5rmLjDLV4ve91rgVi8FwMJ8AAG/La3HYVlAbYAiyK0IYMs3OAfF/gHPyRRjnL8AwP2mM4/%20VgGAeKDMHIxogQBQATgdRPkfkMAHC8pR2FW8ApUlYIEwUBlmF0wHb9lggACwG48x/IMIuhFALVYx%20nSq4AANbvgQGlCzlf9zCC2ApASNcQIh/fOIf2RDAlr3AgseCJQC3OPIAhCGMfyjiH9vIBioFsIpa%20MMBH/1DHk+523SFhIBc6+ocaUOCG/wMcwBsG+vWwiW2DIvjaDd8Qghua1mxnD6gIGEqQDyJAbGtf%20+wARcMM6ll0EBUTg2QTyARoItIM37sBp4FbagOaon2OwKAz6qNHcwAAGLZhACgXoAAhKkQIEICAC%20EShCKEDQhID/AuEID4MdRNAPcZwAWEXCIhaty6MBXEBHFsjFArABgE2Eg2J86Dg2coENk58c5SYv%20OcpLXoAF8CEbKZe5zGOODYthIxuwuMXDRF5yjs8cACMHwMpJjg1gaHUBRC+60lMe9KAvIBsAkAAs%20+JALHTj95zJ/mNNPXvJsvKIAGyd50FfO9KZXPRsLeMUY9lH1XMA8HtUlUmJbpskMYP/AGrmBsgay%20E4/cuEwcsQYLPQSARQa0DCwWEMsAtgwWfOTIOwGINSqlLA4p1zIsDGCBpMFy+B5BUSxQ7KIsVoEK%20KFb+8kfe0SUq35vHZ8A7V9QNWPgOej6DOgDvEEvjVfmbMrdMAO5YwCW6gwoAoMAbvw528rF9ALIx%20O9nLxtD0FUB966dbAQhSxhGq3XxsR2AHysZatatfftmSe0A+ENE50E1tcjuhCQpIgT8QgCKvNSFM%20+rgGJolUbwKYoAKuIQ3YoAzMxgBsgANCIRQmYRLQgAPQBrN+wRtopB9u4ASswG/qpuIUKzuK7x/i%20oQWCBUi24wZWARDUoATwhgOJhPf/8CYZQM8cXIZvtkMDc0Rv3oFwuGxuqksGxaAFSClHNEmT5mY6%20AIEfUEEAUCZIqAdHhOVkAgAaMK8GicS7wCK7/kEcyGIVmHAAeBDywiIAtDAINQlvSg8LNwksMsAc%20CucfME/uQC83AqDyXGY6thALOVAJZ9A3wkLKCm8AckOx4rDywAIVdK0EhAWVfESTrIjuuhBv8MZl%20foMByMJlhtDWtkMdCoAP3IEsnuEcOCDgOKASQDHgSrEU/YEW2sMGvgEFjsEUXxEWI8AfZNEf1kEZ%203KASYlEXAw4cuA0cKsEGdjE9/GE9ZPEYzuEb0EMBKoEYTbESmKASECAaA+4QQOAJ/1hhbrTgBLaB%20BKQAC0KgDFJAPxCAAwxgRcqgFOhvHn5hHX8hFA5BBN4gCKpgEeYGi/amEFVpAMzCEmMQEiMRLKZD%20HCwROAqyIPfmD40MLKRM91rGIB8SIrswyrzDR3bjN7IrIgtyR4YwSFwmBrODH38vI88Qu/jGR/hG%20CEcSRygSu8bCNnbEOzKSeq7wH25vCPfQHrFQ1yJxH/dxC8uw1iQSFRSLI/9Bk1xGEf9uDVvSEnXQ%20KMsMJwsRlWAvA1bwbgDnH1LhyNgwLFAhDIfF0YwyBdOwBKAIJ3XNKQdAERFPylymltASDGfwuqqy%207v4BhnQA88wBAIQAHI7BBsCBA//AwQZyhjD9UmdSoC/B4RyEYBCOwTEfEzIj8xgEk2e+oRtwxjAL%20UzMz8xgG4RyUYRD8oS8l8zF9xjHBYRCE4BwGgWf8gQyOwQ18AArIIAo+67PiAArcYA8mYf8KISMj%20MnpMIAgCEAiSwBCiIAquIDmPAQ3cIAmOQRAgcLK84RCu4Q0K4Tp+MyKbciz0cVgIsSV3I0essCyG%20RCG7wyj5Ru5Yprp0DfS4EyRl0MjUMyDjU0hWAS0zgPcEYCyDJQv/0yy8IwMugOKwS0fgM6EWz0iM%20UvBYxiADMgEUT1jkMvYs8RCNEgMG4IiOzBIDkW9AjwES4AJiLDsQMjsgEdQYIQD/3CEBytJlrHI7%205NALxgsDCPREjbIrX9Iu1YcRtLISOa8DyVIWNAAV4k4Gbc2KFGsfweIduIEfLMA3+OAcghHcqlQX%20U4AWUqAIymAdziFG3gNM4cM9tFQ9bBEKikAYYzEJuM0NshRNw3RM1SM9oAAZ3SA9aCHgZqLfKsEQ%20KsEAKqEMiqAUGuIJ+G9IAuADRoAEZuAa9LQSHjUCKqEIJrUUIvVREc4GDuAHsKAXXoAEjGFuqrLM%20mDCVLnRHhOUSUlAS8MwCJMEc+A5If4RvMkAAFM+WCs3z5kbKUMEC8OYSftULMK9BgzQ7UIERyGKI%20hugSEHQlwQKGvOOG2EeVEqDz/+KBATRgy1BJLm9kFUxIEa/19mDUPKknACygBV4PK0GSKFFmFbxA%20B1IBH2ThSFDhAo4SZdoTb1IQA3ZBA1hAFo4SDA8rR/Ym9u7mEsSjFljgK4cF8DIAFYaSLMyBV2vB%20AtSBHwqHLI4EPXUDiswCLFigBTBAGDavPu8GSXJkSSPxEoTBBTyAH8LyEsUiFWDtH97hFlggFchi%20L8EBDXLTH9zABnpWaKGgZ2MECsog+sChAKGAaZvWaZ82BXLTFncgaofWaokWa9EAMZVtECIgCaL2%20acOWad1g/QahANtGAWJlVLAkVsoACHjzC0igzLSzIMthHILgAxg1B0rBKAwBCv/8Eg3QIFb+Nh2i%20U0UUAATicQQ+YBzo9iHpZg1lL5XU8LD+cAbfQRjwwQsojR8SIBu8wDvyMCKx8CgZwB1sQQO8ABpc%20QB12IUMdVyNRhgVswQNqMhs8oAWEAc92RCVvUgP4IcY8QAc8QB10YBU6ViQjUrEkoQVkoX12gXb5%204R2siPhGVzvEoXjdIQDUYQF2gXXJENR4FyIVq9OEge/UIe34AQM+0m4o1AJsgR9WwbjQjG8ocdRw%20zxYCQBbUgW4iUZNiUjciVkPxQQAYYRfYNWUlDT7LjB9AkAX4TBzYEPRuhAFkIAAWx0i4cw1nkCw8%20ABowgB9coM7EYmGxEIouoV//DTh8L9E2xIEBPIAFMGBFF8DRzOEZ8qAd/iSHc/hPeriH26ENdtg+%20eNiHi7iIgZgG2gELfgCJjdiJe3gP7IMN2iANnviJ2yEP8oANkpiKaSANvriK7wQIaCBPMCENMGH/%205gYSqkBRO4EOkOCLx/hPLMWLv5gGwgAIwiDe6gATNOENcCEDxiFUJxhJORJ8h4xwSkADoOFgHW09%20FZRu4kEY4GsABEAGJEEY+JdlcmMVbEEAZCEAhMEWUoERWIC6hkRHJMEDKraA+YERBg3jhoVUQdIc%204oEFLEADWmABhOEC8OHThIRYgAMVoCEV5FWVU8ECRHj2au1GjnJwZMHv8AF4/z3gHcS1SPLxHy5h%20F/QMin6Pk48MZYbQR1ogABpsY7uzKznQZQQAH+JBFo4QRwHvEBUrdHXQcBhBFmphPKgn1hyWEOl5%20FcZMBqRsnjlvgoWFLBgAAywgG1oguzTJHEBPDH/vHxIAAExNGLaQWftmedWBBXRPHWrABWSgBbwA%20ACAAC1JapVeapUfiCVyCclhapmc6pUWAckaCpnP6Gm46p3uap3G6p1XadyDAEmRgF2QAqZNaqZU6%20GWxhF95gAiAAdIJapdchpS8HAjYBGmTAFpbaq726BUTUIWM2LDJAHHKZBeIBAxbAC3DXAmRwo7PD%20C2RhkjVAHXJXFkh2B3EXA//cAR+eQR08ONK29XoV6xKEbBckAQOK9x34gQHCUiFxBBX61QVYIAHw%20oQX4WmJn+UdagAU84AJ2YZYwABo8j7CJVQMyNwECgAVkYAFk4B0eOZUsIBWU9LQZ1vRSMAAuAT8R%20+rarJwAEAMHwUy5/G8wCQBLUgVrtUQ552xw4+0dKQADShz8lbrffIR5S4Xh/m6PBQgBYABpk4R8Y%20oQZ0IHetFRHeABFaAREeQBfc+w1AQb4Rgb4fABQeABFAQQbUOx8ewL/7277t+77re77f4AHyIb1b%20QRdA4Q10oRUYnL7be77zO71lYMLTO8LT+w3Yu74DnMFBIb8dvMHtO79B4b3/A7zEoQEaQMEFWtzF%20W7wF+EEG+GF2XaAWluEekgEaXAnA2zvDESEf5Bu/2zu+EeFcW8AeqmEZZGDHXWAXoNcWojzKXxwf%20XABKIxguYxYV2np/WUAHEkAWhpSQrxfxstkC8EEd3IGuh4zI2PNuEiCGrTXEgmyFabDMK9mjldsW%20ZAEDWOACkBe6s5ksLuGuy6vUFluw+gbOJxkDprsFGAEts/BGUhkHMUC9lgSacUO27eYCrLkJvasq%20eYODb1sjWyYF2bfMrxeAx7NvQJ2i58YsqnJJp6du1pArSfISFatcLcwc3AEAIhFvCkHYC+EFXkDY%20jX3Yi33YCwEdlr0BGgAd/5792Z39BRog2Yl92JVg2NFBCZod25f92Ked2JGd2LVd2MW9EJgB3AtB%20CZTgBZSAEs4AHc7gDEZgBF6A3uVdCRqACPo9I98TlQjgEwjAGCABbxPV3qVdG0yBCArh3pXd2guB%20Em7gBuRBCwigZfSmK+cWOCTdlILwnMkaC71rBuvG9EbwD/mQbgK9ihQyuP93WEOvesICZfjMR4ub%20u8WiBC4Blf63EuM6Rlk9m5WUEG+berrwkyIYCEV+8ViezO2T1uVybmVZSHrjboB+SJy+A5nQY2mw%204+mG6SE5glEJZqRuYvbBq/hAAt7qGSaKpLihYdKKD7wKANhOq9AK79VAov8apq3GIK2kLhw24RXY%20Pq2SaupqwO8bRmImKhy4Qe7HagzGoKyGYB/wXvEnah/g/qrKig/26hW4gRvKKhDGYPQlgGFqoPLz%20Hq0oX6S4qmICARueAfUXpu1VX2RESg36PhDKCvT5avTbSqT4APVV3+2NCgDmKhd2gemHshJvnVi1%20YwgFdlgcthCPxG6sv2VWECebuWXYlywWcUfUWethrzy3fgfJAm9uT9J0xNMpV+uR1LtGVdLDnm4e%209utHfh/nXzskd8wB4p/AgQQHDhBHcMCAggwLihOnUOHDhgIfIjQ4AJXGixQ7ejw4sITAVAMlMFph%20IoCJlNtMKJJRz9QNl6b/BGjrI0mYh22mevrsqYOFF0p9bhRV1EfRtlyMTBElxMzEHxMCkjGAymyb%20OWbMbrysd9PrNkI3bkhqUe9Gzz6mmGnbtk2HCz2UmFEa++cPoWouCOX9U6XKHxwM6GUzhzgx4gHq%20bJH8lyqDFSuiwMQCsOqfRrdaKHQOqsHUSql59VSrNgfMiYQMWCxAlSF27DsZ/mHAlpmjx928KwZA%20NaCEyI8DdS/sTbG25guXzFUM7vzfJYoXIf4Tp/zfBc3FQQo8zjBACYSofv/LEGAVQvDICQYI71xc%20dIoDzJUwB1xcieMDMgBv75F1vE3UEES6NaQQdREdSNB+AkkiwD/sDWiR/0UAJjRhgAw+d6FHqFxU%2020IRXhIANrEERgCKVSxSRSyXrBjYX/Jsg8M2fvyFYx8r9NHHH33Y+Elefi3jRxVFAhKYGFUQIImS%20gT1ZxY6x+LVCXkH+scI2n/hRJY5/+eLLJ0b+RYAoBJxZZpmfLJLimWIkJ5057wkEpQD8CEQOOUsS%20gAMOWsgD2JKLfLLmJyekOCMz4jkoUGYUqQPAewOk1+FuF5iDXnTgWYddbxGVkF2ClQookDnsZYhR%20QtM1CJyo16GK3HwADnDJdv/Iedx6slbKq6f0VWhRRK5S9GFHFu6mHyPurILKqBvy5h2Hu0lEX6/F%20fReShPMNwMiLVQDCZv9gF8BYxSUsdikPoD6myy67fcizQrw4XikJDn8UKQqSYiBJ7oopVuGXuoRU%20CegKN+a1Y7syXtljXgQscsIngJzA5plVyAMuAZAIK2yzAs35z7fkiBHAdr+hIs8JWmih8oqATIzm%20mWxiOdVAqJhq4EMco7JKPBJmZ21v+JUQQAYGIjcRf/5lMBzSRPN3SairAM0QqaUaZBBHxzaUwQXD%20obfdKgvt2uFxHvPXUWz5QXTQzlQHLSyyFUr0LEEcQff2bhksZAEGQVe6d3X9UYfRQrCZ+rfdDGn0%20z3sB5FrOOONAErnk5RgDyTiVcycQicYmlAF+jt4q0OR3SC65GKhrbvn/dQ5qrVzJVd9c33mNDiCG%20OFVAwiIB+1aR5+odrTJnCc1+YMwHuATB/AcflKN7zJLnGdgigIgSfBDjEEHN4xUVyLaE2yFkToSJ%20ExQ6eR7fbU7dEuq2nvG9IiSO9+RdcFzedmd00SUMePAOCzAkI7C61UUm5RxJXQ1kyHlPbRwYHbIp%206Frvw9r5KtgeAu2vWhU5oPsKchwM7CIW5kPOsHp1Qobs7Tl3y8/g/kag8DUtAV4YACQucbo7ZC5z%20qmPdHe4gEPRcJADAsgijCCiQ/2mAiJG5gOXKAcXJWQ51xmicQJq1t+EQUUKuGsAqJMEACQVAEgvJ%20zMig5CTgQSJzk/uV/xUXkoEPkKATJAhCJ6gxDmPcB2JoukMQqAclcaBiHEEYwQiCwJFiFYdtCmGA%20BeZEvAtKcpKULMgFoMEPfuBjdJXspCc/CUriQMYdCVhVKE9JyeG8Iyj/kMQCGIAQW3mSAdCQQQkY%20gZtOHrAEGpBFCyTxj3csYCEMnKQ4PKCDC6hjAXuTQQsM9w9Onm8V6tABI2QgDEpQIhssKMtMTIDK%20cIZSOO4opzswJc50qnOdH1EOrYrJznhCSyDxgIYsVnGBXQhgIU3r5CXUoYHz1EKaF9yUBqCxgICm%20wpYS8hglB5CAFohDA/gQiDBkEUQrwtA9CXCBInzBAm2qgxeUMME35f+JUl69RxIBCECE4JnSmMr0%20b9GaqU0VJ454tEAY71iFByJpNE+WIBWySEU8SiAMUxpTQiNpQTbUgU9Z2EqCiRtAKvwmAKmmghGM%20uBpVL8SeDHiBF6Sohwz0oAcLJEARowHnTd9akGYNRyQOhatd70qshcgHr/I0GwPcoQ538LJrDS3g%203y7BiFW4YwAB/STizBGPckoCFfFQj+06mQENTCoBDIjHJR7jHMO2hz3iuAADvDBSC2iDAYpg62j4%20aleP1RW2tL1pdDRYW3U6VD4t/YdIYErJqUnne56MTanQQ9dO9TO4AvmtRr9aNhCWgBKKoK4225rb%20u+osu9xFqWi7+8n//3CQqZVEha0GB1yaYotz86nNB61ltfWub6MMuQElyqKIG6ziteBNaa40893+%20CriTN5vtgI2pkMOhMyPnaRZ0EyeS5U5SOc0KjhiNFtRPvkc/13HveqApyYsYpSz7VcmBvXue9j34%20xCy21n0s2OJPiipBNO6kSAZnH08abjjr+c6c3tsrWzUtfAzW34UIlKAbkIUQK0GFW2MM5ShLecpU%20BqXHMvwPDzC1NkY+cFmw+w8oluMf46iymc+M5jRX2TvH+asOUmEyM3+ZvwQps5rvjOc86xmut0VI%20Cd7hARnMiYgBBi+YBUKbH0Jiz4xutKMfXclhlcACLHDBPjlH5UMPaAR1kO60pz8N6oYwCiKr0AAj%20eKzn1dk51KxutavTbB7SVU2jasYcp1+N61zresDtO89xxBMATAE5xqpu466Pjexk3zRBHG7cbumn%20ZtSVYxVeKIayr43tbGv7QnnKk0BWIo5y3GEaSwgIADs=" height="129" width="605" overflow="visible"> </image>
          </svg>
        </div>
      </div>
      <div class="fig"><span class="labelfig">FIGURE 6.&nbsp; </span><span class="textfig">Frequency histogram. a) Mass; b) Length; c) Equatorial diameter.</span></div>
      <article class="section"><a id="id0x1f2cf80"><!-- named anchor --></a>
        <h4>Mechanical properties of peanut kernels involved in the design of gravimetric sorting surfaces</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <p>The
          results of the determination of the angles of friction due to sliding 
          and rolling resistance without sliding showed, the highest values for 
          the static cases, a result that agrees with the classical theories of 
          sliding and rolling of the bodies (<span class="tooltip"><a href="#f7">Figure 7</a></span>).
          That is because the force required to overcome the inertia that keeps 
          the grains in static equilibrium will be greater than the force required
          to keep them in motion (<span class="tooltip"><a href="#B16">Ospina, 2002</a><span class="tooltip-content">OSPINA, M. J. E.: <i>Características físico mecánicas y análisis de calidad de granos,</i> edit. Universidad Nacional de Colombia, pp. 101, ISBN: 958-701-182-1, Bogotá, Colombia, 2002.</span></span>).</p>
        <div id="f7" class="fig">
          <div class="zoom">
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O+ip6ST3%20La+SzZva1B0uTp/8kZoigz6mxDYy9mVKPG4gD2WiYxMHaIUaxkzmMpNZzK1oRQWUQA9sQLf/pWkE%20HorJY9vGjLeSS87z4poMUvNmqV5Icy17DRLlf4wXjQSZ8kHigQFXbEAZFwiAGhzwA0r/4NKYjsCl%20HcBpTldAudgIRziWZpPisWoLGEBC9OjDhiMisUGpQMI3vkEfYPaM1LjOta5xghkPq9YjQ1uTvOxL%207HkZu9jIPrayk83sZTu72fb1GcnWsZeovDcbS5mKgtREAH/MKyp8wTa7kACKDdxDFZRWAy7UrYZL%2048LdmB6zA6hQgQ18YB3eg/az963vfvP73/42hzm+0Y8bhHABSSBAA2LA0H+YwwLZ8AcGFhADDGAv%20lUVwuPP8zXGAe7zjIP+4yENO8pGbvOQo/z+5ylPO8jz52skFCeCnuNcA623OgP4o4+2IFxlXZevn%20QGcDBi6gBzVEABcRIMUPlE4KPJCi6U/Hww8iEIFO3yMMXXAFA7YA9K7jyn6oYMAN4EEAyRHABVNo%20QhEeDgSBE0EKMXBBP1xw0SJs3QKQ9Lre9873vvv978raVZJLwue3MUAIXwxkGZBwgiTUfGeuPki8%205nXkXXenAVOAgLqX8IxHPKLzj7jDHSxhCWc44w6k0DSn1SxcdnHD8jCxgAUIbo4t0GABUygeKhbQ%20gIFboAxlkOkC1mGBFcC0CAneGeyXz3zLJ2wi5wXeKSnGjBuwoQklIEIRvMY9kIkM235bmf8/fiHp%20R8ACFtKwhz1AAII0cOAFL4DFC+xxBzxQ3eoDtixVjXQSV9Qg7SXABv3gClxDayYxBQLgAlKUClcj%20ACXAP+GnZxL4NoWnEOYTMcxQBGwQA2xwKuUTeVgGNIyBYs23E9kgC3qgCqIAAtLwAmmQBu3nfvD3%20ApYACxyQevfnAHLQeo1UgivxDQ83EN+wDUjQBKnwD2WQOf/gCqrWBA7IDHGzALVABQtgRODjg1iY%20hQbTNHjWORWYEBwjBEmAS9wgBAuwAALQAGUwc2ETFWTThVHyBV1AAn6QBpcQDcfgBOu3BC8Ifxxw%20B+s3dVXnAK1gAwOWYPsXXf7ABknARxz/mAol4IQYYEgYUAY0MAVUcAK2cAIxUwLE92YTSF5sszBl%204lYv8ymNuABWVAYYQDHUA4ooATgjgjbYsANFZw8vEA084ASmwId9+AIcwAHrh4Od9mnOBItB8g0e%20wgA0UAS14ArYgARTkART8CpFID6BRAPr8HrX4EtTxTmhOFKJE4FeWIofpjrhQCriIDO1cw2RKEsQ%200zkroTbncAF0aA/H0AzRIAa9uAR8iAbCyH4gMHWd5gCfRg7dgIwr8hhKVGHpg21DxC6fsg7bOFXb%20uA7z8CncEI4jVTrkSFdfKDXXcAIOuAA1gDUUUwSiEkA75xS6czb9sAl68AjOwAPN0Azz/8eH7ecE%20TgACdwACSzB1lTZvB5mQiSgkkoFoSfk5HMQUHAMqHvMpGQkq8ciRVjklIZkQsnACLgBP/9BQDSBY%20Lyk63HADJPAMt4AGIRACpmAKjQCMaJAGbmkKaymIg1gB4MAO3NAN3bAyIVMKUTUOkGFc0ZQvn5JP%201MQvcQUqJYNSV0lM0TcQ4/UO7yCZ20APgKNovMMNW3CWluAEa8mLYtAIIXALcmkKYlCXVBcBhaCD%204AADe9mXJoND62ALPfBUEUYOhblEh4mY/3JhvJlAQpRSjwmZWTk8IJOcvlOWZ3kLmXAHbGkKPJAJ%20AHmapBkCdulpeRmbJ0ObDUAI3OAxw/8Uc5KlQNd0nteUEHNVnJcUmQPhWs8XMnjxkaDDnM/wmWvZ%20li8gBmrJAW2ZmkG5mpyWCoKQDtw5m6qiDUhwClJ1DSGjH+WZP+iJngixnuxpSe6ZQyhRYgUxiptp%20ls+ABs8ZnfCHBnHZltdpl62Jl3rJl7OZRv0AA0ggD9ekjANxTbMkVTqao+WZno45QRfaQ+6ZO+8Z%20Z8DTZ4Zjn5bwAqGJmi+glqeZmtgpoK4Jmy4qJUTaXkhACJ+yMzaqfxopSzvKo1N1TT+qnkEqpMcJ%20MvJiG7lRNr9jnyIKnfr5pCeKmqrJmtrZorIZJSlmEodAo+hJn9BEWsU1TfmCphaapuz/457CEyKa%20uZwguqT5aQr7CaX/GQIBmoNy8JoHCiVDg0NIQADsEJVdepQGcVJzZEes2kzTdF0VSpyM+kDu+RFj%20aTJyeguVWqIn2gh0OaX3pwZ4aaV9qjJCxz/Uo4zX5Q0f8AHAhQPQGq3SOq048AXe8AXY8AViqT2U%20tagqElsvWWhy9pi9RoqaAnO2Shlnww1lEADIYA+6SqL8GQJRmqd6KgfqQKxn4078M0vcZUfKJQeL%20EAAEW7AGa7ADOwVhEAbYUA+jZA7cqqopMhmf8zxpZEYj+J5X1l4bO6sss6YcQTx1ZTbcgApniQbx%20WqcmKpeNkKJUyqKfqjIEoDmN5A/k//AFXwCtYIZulNazlTaUkzaUDmAHOzBg6LBE7agciaqIHWpY%2040o2Hns6ILsRL8lhqsGuZ+kE8SqaT0qvmbqpg4ivBsqXVpsaBIBIM3cNzQRc9jhp7fa2P/C2cBu0%20hAgKymVVDWI7DQZhHDY8FZtiVKY+PNe0ZVu4nfFySIpJJQsBIZqylmqnLPurgtiawrqdV7oyFoAE%20/IUNwKUM9wABlxZ1UPcDUqd074ZpnGYHYSBczkQytiNHd5QiabQUkSE0klF5aqIcOUSfUQs8UxsS%20vOskWPsMTqCWd6Cf81qvwHp/YhuzKdMPDZC02AAOG3AA6PYDuFANTYcH3Mu9uPC97/+2mlVnBx8g%20CAOGDQgEXdKkIjiEEt53EB3bu1Jrjr8GEhgLaFpIE7m6q5Drli6rp5ULA+PQDSOQvzeBBEBQO1i1%20ATgQAKrgB0vgDE5gCbcgehYsev74CEI5vjsgXMT1DTrqoNfVTLA3nhyCEvKCbSdhG/KCEirstwac%20a+W6Z/SLrhxhRvY1bCu3wyzHw/82vJaglvKKqXgKtp6mDm4wDyNgAj3cxD7sxMUWDjXAAEBwDdmg%20DgureaKwBHdwDJcQjADJAQKZweJLiJuwAWEgC0rQD0LQDu0gQNugBErwBVD8xD5MG9vgTu/0DwpX%20A6mAAWPTHDMLyPaRCg0gC1JhX9j/Zsd13MiM/MgtByeIuxBhCCrt+JRSuX+r4jPgBnienCtAsAWM%20i4shcLyPu7Jzaa+e5gZBUAYEgAqfHMux4gqg4EsmgAr9sAWOoAwQ8AhOMJpr6X7ByAFOEIzrp8EC%202go78AH1QABCwACQ9CrSDM2yHHi/sisEsAVb0A03QAOVwAwLQANJODtgAATQ3ADqNDt1g4YL4AIM%208A29B0llIM3FUs327Mn2o3WuYA7b8KXDCZI1jKQEwDG9FEjXAAQ1gEjewzEJMXn0EsM00Q6dSbyO%20e6lei6fL25r4KsAEDNEzAQOIIAvdMHvuoA68fLzAHAL2MMzFHIzsh8yDqLr04A0z//d62EDC/SBV%20SmNHLNENTTEC3QAP5tAAzFBQMfBI/HMNN9AEQIAEVBBGJWABCwAGFvA918QO4oDVHn0dfNnVXv3V%20Xv0NFtANeOat7/m7s4QEMXXUQEBFVcMxs+R9VEEyg1OyAdC4/IvKLavKBmm5xZoyMGALqNDR4SAI%20vEy8YsADaznMwdjSx0x1Q6m6xOWj+cI/F1JZDdIU++MPykML7kxxcjNQI6k3DABL5CQAdKM91JM/%20/tBVQWrW7nkNBGALQnAD5YQEUtAAYMAMBj0PbUgAtHtrWw0T11AGnlnRyfu12ekABMrRBTzcL5EO%20tsAGI90P4WDSEIDSjQCdcdnYw//80gRZaeR7tNc0wtul00kDTSwxGSPgD0ggRgl5A0hQAsxgSiPZ%20BKmUUC50NUAABJJxTeIiDtBNNE3z17KKlQG9EBCjoEmwAAwQQv5A1Ii0M7+tXsHbJNxQCgaAlhXd%20v75qr4VQuXx6NuAw3d1AcNdg2Iz7y4odAoxNzMYMAo8A2anrrG6mt5WtkOwBVx3Kzai9PwHkD0lA%20BbzUANPTAFJQA7jXDU6Iczp0pnnmof+M4OeKpF6zDkElRep0OVTABvPQNyAjH7OINtdQCiTwCEHc%20pGLQtcq73J2qr2aTDkGAAR19DW5w0qi53SHQ3TDu0jJOkOP7ARtw45OlL/p32XH/hRJi7Q+14IRF%20AEYloE614A9o2A+NKAC5d0JWkwR9SXDDadbiqF4m9bEJPkHzvDPMUALa5A810ASB9A7gGOYqoTbX%20gAp3jbJ53av/25p9zdEGfjLpAAp0PgIAtMsrntiLzdiO/eeqN7Q2XqZ1hC+WjehT0hQ1UAmUUwPu%200FBr5w8N5Q+N5wKy9w8nUAKpMALgA4JTfloeGasAXeULsQ6FVAJTsAB2J0KLdA4UOVesJeokywBZ%20y6RDfNEAmp3Cmq8DPAJnkw5ugAFAnWB3nt15vpZ83tJizOwOML4vRugfY+g6vh5mTWsQ6w/wkLc3%20V9zICmEsydmQQWsln6qvTerw/z5B4oAItVAEj4cBRXACYllhy8kAjIvrJOrhkvuyfn02MEAOGGAC%20ZD0PKo7YLf7iyz7jzT7eHB/tWfXxKOI06dMgNtryTCVSTsNe2TCR/oBAHjPQCuY1HnJE9RO/sP27%2065BVVLFEtFdb1QWHhTO8WruryY3RKqqD+eq8KAMD6bD0BGcB2K3dFC/MFg/eVRfoG4CIhZ6oWn8i%20REpr4eFqKxz29cQq4TEQSOCMXiM+NEADrpBAn9KMruAPBEADLlAPLwnq7rm071kQFTZHvjMOJhD0%20Ha7X/3uXR282n4UBqGAS3PD0LJ7sLB3jyBzZNk7Z0n75JyKbfen60TNM3RC/xf/EQWXTBTXFDGkY%204VRQ3+EDPjcQA0Q+AvQdA0f08jD/7lCDpP2UEp6e/VNh+7vD90IMEKZMvRCDJkQagWJCLPkRwWEh%20B3LUweDWrds/jBk1buTY0eNHkCFFjtyoLh0bVN36XVOnDMIdU2IahQiBJg0HDk5wcgAB4lFDBxEc%20tAqDDts1pNf+YWOK7R9SklGlTqX6T+U/f/++bSHgz18/rN+yViVb1uxZtBy3/dOmDes6Nv4EMCvT%20j8gCAUKu+btmdy4GczUErFBioaNTj/6yZQOb1Z+rf+tAYqMHVuu3fl/BNkWc1vNn0Bq53SDxDM0t%20mgJfvEBj01QjUzQbOnTgoAL/OHYVL4bm3btkPzZxv10T5PKZEzE8aO7EqZODPZ8Of9S288FoUqWc%20+Sr13f2jU/BsNWpjIwusZbdL1Xfe6NX7e/hRwa4Dm95fkxjXwJSosWCLhWvCQaKEE1aIq5wpVvgH%20ssMSW6wxrCCT7DumOPrGLafOYS8+DrvjpozSLDEoBNUKOigh2RyKACKJKLKoQxinSicdVBroZjg3%20XIJJJppsam6nnn4SSqjqNlgpqaWaeoq7GHsLD7H0MOpHFjbcsmyz9T5yr0ku4ZswPQH8uyaGJFxo%204oZrgLimBCJcWKAGrwSIAcKNNtRIMcawijCyyZg6Z5ux/BkBQyW7NNQsblCB/8A01EgciDXXGpkp%20hNmEsg033Q7VNKN0vEEFA38s8McR45BTLgTmcsIJOiGnc6C665DUDqpN0QJPO/uwIgADbba8iLMs%20M/Jqy1qLreo8PbcpogkXvmkgBmilAAMOMBiAdgUqSrAAQQO/czBPxyQE6Z1C/4FH2H7KNXZdjrhh%20oDQnGi3RIIRiWqhSFifKlN0mZ/y0GwBzfCmmSX1UFacggSLyAyOxS7JCWvmV6smm/OkVq6x2HQFj%20jDkL785hJRb5own1ZGMBKSoRAI5vbjhBCgZqaAKJb+CgYYFULJiCGWZK6GatOrV8UM/H+JwsS4o/%20FolY3uzUqKtvhkMqnKSEmP/nGneovgZArPrx2ivLzPIHFT2WOM0enkBAY7VMeoItRdoudXG3Q7Eh%20124//XEK6F/f8Qabv7HpQnBXmiJXqnSwMSEVlcIpblFTl2POOValo26HWKGalcmRyar4q76QCMef%20tbBRAhu+tiHHG3DQaf3va7gZp4ce2sGYHHQy80f2cbjhZq/OOcTud99/j0dvbAhApAY5MCi8GwIa%20gMccNrbBppsRZPmnCwxoSAUDAqbCE8KiS27wSaTVC2lYpkFz+ptw/gkfs6fcUfMaNJHSK0Ake/OH%20gACY7RZoA0EaVrOantiLUiqCyCHQMbdNYUNDgCOA9VB3MXhsxm53Y8rg7Eb/AHpUKCozGkEqRtAP%20brRkYDyqyU0OljYhBeVVDDuKrJQUseBRpVx8wcA8LOYUctSwgxtAxxfQgQ5yyI52dAhHP7RRDnJ8%20QQnw2N04evc7zuXQN8OLXfGOp7d+1OOI6AgcRpySjaWkqx4Ysdg5xiKV8RFNXN3RHfve2LSOFCEG%20K8DAN1yxghUQIXZ7KQMRAOkOd5QAkDTwTT8+ULazpe2AL0gDCCQFN0vdJjcv0pSGCJUVoEnpH+Yg%20wJOykTT1kYSEOUPh446THMnthHI+aYirYFVDzVUMh1qMSrmQggF3WGwpQbTAOrSBDXRsYAM4YGYz%20lUnEIuIgDNI0ypKy4zRe/36GYthhB5YQ449vbGMbSOFLY9JjzPGYb2lDC5fRfNM+jNlRnvOkpx1R%20Z8d+JEEbAqACAVzQgBLQAgNbQIqcGrCCEsyjAUgA5MU4Fs96RnRY71rCLQYoyQMmUCEMUVFt5ACO%20uUlUpCMVabrOUbh/bGNC28iGKwyjt5RW0GtMIcApseFEQJHUHyTEACr6EQ4V7qhgLnQODBU2lKLg%20ci/puulTuKFTqEZVqiRl6rB+yYBraCMz2CCHP+KHjS9UQA8H0ENZy5oDPUzBrGMtawW6mhTkTVWu%20c6WrTqt6FHGQ04nkSGNG+jGc7WQDlFnJzJ3CNpI4tlOd2WzQYVbADHMwpf8BVBCdV1cgAH9MQQrX%20MMcNEKpVYXnGHwwIYCR7MslKvm2BD7nUJulmqHXwRbbkBNCwRneN2OKWL7nli1784Q7EpWMEN/Ap%20N1wZOVRNblXRiYAtraPUh6Ful4wNSaG8cg02lCF+W8Ud7nagh1bURg0/IG8tf6AGB6C3Ng5YxAbA%20USHAYZO6Z/HG6jwmDvA4URvd6N0gseOO//CPSV6rSmL3tNj33NF9HYkfBppAhKxYgBkruEE/RFUE%20KShyTkWYyxS2ETYFl2W0kLzoaTMKAgVWKr0SSce+DpXVvXCjBjTYwjo424AGMGC3e3EHDWoQzGs0%20AAM23ksWQ0JCVNxgOEH/JViPiAokWg7pVUl1GLCmO1+P7BB/BH1YENEhhwCEN7zjHW95z5teNDsg%20AKB47628geXQ1De+TWEHftkTu3a0A4u/E0IDAJQUrwU60HBk54Hj85W2aFXQi2Z0ox3dD/wWWTPf%20IABetDG6EsQAA03U8TVSUQNA9gMIW5ATAWLLFmNq5tGrFrQrSFDREoNgkm6b1GwgIrdxYI/Vu+b1%20rrs4DwwkYQVvugYR9igANY3jGoIRQBKQcI0yQAsDabpar72WDnWMoEatLBUskyvL5baKOs/FTrpW%209xXfWVvd62Z3r7mKunjegA3AfaLplHEPCNTmB7jABSl+gAdSABzg+8ZF/3NrEwAcoEPVTGl3wx3+%208F6XoxyBTso84qG1YRGPVl+J3p8DhBYDly/BTlyHOFV68pKnHOUrV3nLV87ykltgBU2oARsYcAIq%20VIIBDHDBClKBYyQsIAlbqAFAm4CKbJx8MS5nOstZPtrSxnrWCNmoiiPiBjfMYwQmaHrXne51sJ9c%20CL1jQCmWLQUBNGABNGiAFGqQ53YoshTiKAM3MLwAJMBdCGFXOdZNgIqcuYNUKxzqjxAWZRm24gNf%20IIcFuGEBC2zjHEpQgkrz/HXM8z3zm9d855VQj21ow5hUE7IQ/pGNegiOBKpIrxpwse9/B1z2pHi9%20edUcBimqnB6c533ne///e9+DnfKUL/k81sGNeSDSAuH4hgWAAIR2QN4c5siGBbaAgWxcQwgWEII4%20F7MYcRIaXIb+yDW+4cO9CEG2ZdC+bP36ta+sIxsEoH9N639//Odf//rvQk2FMP/5w4ASWIAVmAIa%20mAK8WAEXSAWfwwBAOgEGaIBKWIFKqAH7A0D72z8NzD94IAASIyBZOzHVsrXaqABBCIJS+LsNXEEW%20bEH6AwJb2IIP+RBaSAIMawAgkAIiaAcguAECFABke5YTeJN2YAAgYAAXpL8g6AIGQIUaYIB5AIVu%20O5VUmaVHsJxX2YEPIIAy2DkhoL8u6D8hYIAvTEIzPEM0bMH+6z/6EwL/IdgCJNgCbXCFMEyFR3iG%20O5AGacBDabAES7gDQAzEJSi4uAmAD+gCIRgEIBgEN0xDR3xESHTBnfPCsiuDMiAABnAFAvg8NqA/%20V/iAT/yAxZMDOfg8VyAl/Es6BBOa8RO58nMHaIMT7WuALdgCd7CAYDK9jvg+cTKmKAkNcRAHfxDG%20vtAgbIiSrbgIHesHBoCH3dCG6bMAR0MLSiOBR2gNEJy6FFORCGiF24CBXHutLukivSiDFYiBMkCC%20JmAAbmiCIuidHGwTHZwCZ4uBZ4sdXSQJkxiBEpLGwROqHgG3w4shIgEFJKKa30mSIHIqOBOJmRKW%20WZSHlNIbDCggi0wV/+ZIgzQYxI5iL0FIIt7xnYb8jOEhHizKCov4CqZYHdxxL1lABG8orGxINK0K%20sXVqxTnyCKxpgMEQgBtwhRggQBeQNI5woqWzSTzaiHAAmm0wjMwQC3MAJ3GED+gpm1tAg2wUwVrr%20SE1yMUPpCty6Bs2aNgygghsQgiY4gTLgFSkoAmwQAEW6LFqYAiAzMpCYEezxs1HpthdADRcyPFap%20pXHLnGtiiu0YyT7pjL2YBzYwvWPqB0TggUyYzExYDSdAG3tIA+iwh4UoOFdRM2/YHd9RNrtETKp4%20PD3DIqY4og0Igx3YBNiMTdnchAu4ANpEhGo6i5DLyY5ACqJDAmqoAf9biAE2WAdxyC3O6Qf5M7Vf%20/AeIWzVsIMZyAgv6yYhv0AqAASdRMQex8IfpE4vnnEZzeDVsvIMCmjUUq7qObJF50LXwfDgbszEa%20aIIFcIFaEAIghMsyyDQhUCQ5OYEaKIKdKYKoRApF4zW8HAEMMAFuEBiATC60KaqEkTLFaxhAIwcM%209RrfOdD37FCIy1BFQwoLaADIOCZswAAe4IEXqEzLRAOcqKRKAgGOjBsByB0rsqLf8VAd3dFHKx7/%20Sp4jqoNFsAMiJVJVsANVSNIkDYAAsINWsAM56ApV+xrxIx/e5Ai9CEYMoIUa2IImoEc04Qa90Ajl%20nL/2qCuJSiXrTA//c3gpUUIjLUmMuvqHd9ADP1ibrFyN1IqN1YIINfjGXBsBNEVTpkCjQ5iCWpiC%20IpCfKSCClCiCRfWHRK2BCtkGGggfYYKqGREUHCSOKYwlwGQu53ov7EAew/ydQU1VVfWKz9mOICsD%2059QbRDgNEWkNF2WOO9gJP/DM9QoAdLCmJFlVYR3WegIe50wmQcCBTTgA9RJM8nKAZ3UACIAANaAG%202/hVjkDKb7FSd+pNALkBZhAA48MAMCDAvKKaomyMQNPWtJAvjCgmKdGG8EkFyMDUwnLOUOKN8ayo%20F8jTF9AoTBKKj4KgTtIQNEoejAifpdCG7uwKbTihOdQKVxiL6wwu/4vIsX5gMjFQiFsAAYE0Kimz%20AypDCm6IriUxzSwTIazYi4FyTqbAAEhpDZxwUY/1WJ7ggBm1FAHYAFdNEpQ9i+EIJyXwBnQIgwsI%20APHaVTVY2qXFBTKLgGmtDVq4hy9QsK+oUjnqVo5ACne4C4LiPn9YlgZACiDwiEUTFmKNNNn6mqi5%20WnDiDFmQBY9ZSYZrtEHNBkh6gcNDz0vq0xIEqXAk1qi6G1cgl8HRhnOwCq/IKXNwzrY4F/cYC8jV%20KbzshlRgx+MSA0YA1YMJTIOboVhBVe1AVcEtXZK6qXtyVQxgg1j1horsCdgNARBAFVs9DTTgyM8M%20gA0gB6+pL2UyXf/gXVWVUIIiujdVGK/Xs4YIwAPy8jfn3TcIYD30uocwUDQ2IrCo2E2t3QhuCIck%20oIYSoAEkaAAw0CMBQAqsej/dyVZ2NQunAaeswAxQYgq/SYUQWskJUtnQ6Id9xUaMQiCqu5eOUgMW%20C8cIwhsJSp69ARSMgEaMyKmUYgth0pPg8oduwFiNbYQ7aCHDA1kZElnCNNkrQ1kt8wcMuIGHQQTY%20XWGPrYnWsKgXyNmDc4OFBBwi+lmzGIFu8IcvaM0DON7zwoVHqAY8wINqwIUjroYkjgBRyDePwoF7%20JQvtXcWMcAUaIAIBmIIa6IIpUNQSzVdesgx6SIUo3gh+1GFsAAf/dXCDiVAHN94AQRAENnYDR6hj%20Nj6K6wyVjKhTWPNXt+FTq+tKTuIXerqBdkAKppozvXEMi2hkC7anptiazLi+AMGBl8gEyZTdKgw3%20LISVwgKedPnk0oQRptgLduCLcBACIAgHBtCzG2CAPwMQC8AAWL4GGiiDhUJXxCgypHCFBmCKocUA%20nRhmVXEOYnaCNMADfTs4p7qGI0pIHPYcbJCdftgAEggBSOGJNOCBgkADj2WETOAAP1Czca4NRgK5%20QnPF9XmHLkhcOu2CkRyLdUCCd0DKM9abNcY6rFvjOJZjOq5jRxAEGHAF88MKurEAEvADi/LjAF6t%20FYkIfRlkdilk/z1TSaYInJCxYEfe4R0eFs64hnlgCleYNm4Ig0sG557ggCcbyKMqEssAHtS9rlHu%20EAmStHnwLCkYyhuAFrxD33DItBhwgf2MgRJgBhoAgs5w1WvwZWA+0Rc45mKOamRW5qAQCghYEm44%20otiJZmmmZmu+g7VRaY1cjVvlgMkUZzVTBaH4ARoAB3TGye3ViA8zrHgVPZWirrE4B+w7LDK1AHWA%20YwRggRwYgEAIBMI27MIm7MM2bBpwAyZ5NyB4tYX+33+1pK2MG0GeymKhpwbwrazQDsfACEkb7WGM%20TtPeGpoiaZO+g0xA6QJSrueIMufKnawA5Zuq7ZnmkAS+LnloAP8ioIIauAZAGodMmxowYIZiW4Am%202gIwaAL2Ux9e1j4MSBclIIdfkGrsHuZkrg3aCIBmfubc5uqU7R1t+OqwLiADghSPlUy0DoByjgAa%20cFeSmGKRKLnQywqtaoux4OtsIg9XaM6N8AY3QIDBnoABOPAVOHAFX/ABCAZmMAZHwF6u+gcL+EDK%20BliOYq0W8cp14ey6c493uycKni0SvwbTxq+84oZ+8IZsUO2XeAHJTOmPndAPxhx4g+l0kekIMtHc%20sgAGeBNuCJN2SAK8w6rjtgAkoIIG2J0YOF8GECGlNocGIJfVEWaovvKc2G5otWqs1uqSFe+pYAqv%20JgGw1luNDMH/sj5rP1CDRShntnZr3UznK10a/m7fidaTfnCFKvGIOlYGFhiADMiHJwD0AciHQC/0%20QH+CfDB0CpiAHHCEdLhfb3izbEjoyTYxPbUkQOZKTJHoDp+nBvhwNuroyF1ZjTv12BEHdriGVWeq%20bcCAQ17t1m6b1xbIyvlcT65twrrtk9UUeMOGtTBxH3SBcUCCPTpHrUECAWiCMNGxGlByfyjbXXZV%20bcCAweHd68byK9fy7v5udIBmMO8lbCBv8zbzsVZvDgDn9mY9aI3vt+ZWKk4p+vCrCVHO0HMixkKW%2008MAd+YIR4CCP8+HARj0fMCHQi/0RR94RM+ADAiGHBCEdLib/0mncEuXuhPbRg2PaM2uFQ8/ZDaa%20J9FG9VNXdVZHCqaodjVZbRindZXuYBpfGCMR7c/O8cPUFEhzCt2xvhgIbm7owRKQAn9AAh3zhzJI%20Aikwh3DYIwYYnaR2GBJ9N0TQduze7ubicpL18nCfmGkeh2om87CG0UxohDQP5zVvc31r63fP2nhH%202/bomvnSd21IhVX8AyZ4gifYh314Any4e77ve7sfA8Bv9IePeK9Qgqzg40sPQQSybEz6W9cSmUIu%20Ax9io4cSbdK+/NkyeafAAL2Qddfe5NgWN9D95F0X5QiyjKyAi1qghRXYggY4gXLdAlegBQhMgiF0%20AW0wExpwv/9pRxLn4SpyQITszm5uFwrvHiTwznpxJ3evN/f0bo1vDuclUIMAaFZ3j3O4jvewWVfR%20Sw/Rs/N1sZKMqIF38AhDeIBAeIBYmIEZiAUFAIA1AAAzAIA+UIBYMIMnAPwxyABHBwhH6s7981fP%20nz8LJPzcumWPAwgQLya+AJHGlJgQS35E6FjIgRx1MLh16/bvJMqUKleybOnyZUGEMhGWYTAPIUqc%20KK9d89fzp8+gQHlew4btHwYG18JAuPOCR6aIHNJw4OCkKkQQjzg6iODAzocN/U72/IetHzaEPGGy%20bcvWqDaZ2xqUKDKlAYMpRBpYsFAEQ7gkJTBs84chCQGiR0//+iT6r4EsbOSwIbpq2Srmy1fT4HHQ%201SuEfzy5oUN3jZvb1KpXs1ZtlNu4fhtI3EHzYqrFiWiwZsrEwY+DAMAd/KABrrVKf9myjfVX0NW/%20dchXI+xnfTp2ldpOatN2jgCGmP76aRtr6EGHB2sAtGgBwMoaKwAAmFHA/smYMRkoTMgBQ9w/JY1g%20UjskLNHQQxFRVBEIjZgSQggcdeRZBeCMVFJ2Ga5WRgPc+LOdTIyJsw474nTjz4kpzoQiPCeGc40S%205Pxzww1LNZUJI1FZhBVmHNijVUc/eAYWOmOJ5hxa/Ti3loZNnpSWUY0R9c0/4VD5DTZUtrTYTzxt%204woGZ32B/0hmZWpmFWeeTRiAaNxcU5qbTso551vYjMPNOrM9YttUaaShGxogcJCjNH6oEYAan9Gw%20GHbKMVfQc9HRydaKlVp6KaaZznSSkv6Al9xJ5z3wgBnsmdGCFanSB4AC8uGXHwXB5OBGWigO+I82%20C92CRoISUWQRRhBKGMFHh6Bz4YmaKrsss8sK0QA7H+bEKU/iEHJpsrai6OZk/2xRI1NOQSUVVldV%20FdFWXnllRxhFMtZTP+SQo1ZPzdp7L6ZEEaVkeZB2WmmUUvL0DXjeSFaZmQlv1lkEXIU2Wmmn4Tsx%20xRXj+1psszm1Wxq5vbBbVThysIQai6gxYQXXZOhoc5FKN/8pzHMaCZ6RKolKKn2ovpfqGvY9YMWr%20+8mqjsoCEqirQ1ktGFEjjQjbkVcOVMgOSSbFTKc8Dczzj5b/ZGOUOkG4MTY4ZYPjzdlnG7w2Nt7w%20ZJS34N6YY0RUlVvVj+kK+dUH4BhZVpJLqnz1ykKZZI5JzmW7YsD6XtMPeEYpQeaZlaPZ2WfBtfkm%20OnES/nmGRt2pzWwg8Onnnx8HykEmPNxBMqLERbDoysu17A90L8Ns3b/OgQ4Tktv9A947wisZ6qjw%20saezquu910HQsebATk9Gf6grr0r/CkKwG0HtmRwWVv17k/NgIASuvHvnTTrqjO2G2fGrjc3Z2NDj%20dlHzcmj/o7g6TlWVubKSrq7wTSzUMgta6EW+6QhlLKgwB9dQtKWc6KsfQsBAkdCBASdYrnJpytzD%20uEGazqFmgSZ0i8HGMQ7S0eZ0HgMZ6xgxslbEziufmJelVMMySOFOUibkHRCDKMQhErGIQuSU8LqA%20AQIYDyWi6kCp2lOq96zHZw8IWjCGlo6YKME5BWJI0hREkY456GkekRo4qFYSI7KxjW58IxCvcT6u%20/QMt3nADKNThiCxA4Q9/yMIfAZmFQf4xkH9wBDewJKML8g9H/uORufIWpCF9wF1H6oZkyNGNfvAE%20jp78ZElUdCLriAMbpRQHgPrBBleQByZcktI/3oEBJfQD/x2UU5iZPrimzcHpcZ/8JTCDKcwUcoOF%20tbkN6gAlqNa97lC4UBSjGGg7HubuhNZkyXhOso1VNhF5a4AifewjH+fRZ1RPoIB++JMDdRwFIeVA%20yDew16ulcS8jEfqeGkKSjvFdszXXwMtZnkQ/9yEgB4E46EEHgFCFKnShn9CGIv9hAQxwI1xP8Z/d%20AogurqyrXUbyCQJrxaR+xmSC7VRZPxoAHeFN8F1E+RAG++GNynQwl5hzmGhOE7ESkrSnZsEGbPwx%20mxB8DDepg6HIlkDDRHmlAgDKzg6d00PdEW483fHpOj60jrGsQxZsyAaushqdJ9anD+2xz3wUoFZz%205icDWf/MgSDUAQ51eOMLx/kigrQ3EaY57Z7EopCFxtGNEfhUNXLcwje+8aF+yNURLBBAFgeQgQzk%20Q7KTHYBkMxsMCiDgGubAhhIkioSKzk1HdgMg3rTCkb0RyTrjQelZBOfTTaXkKEa57T+UgAFX6ESU%20KBoPJzlJlHDgCgNdIMfkcOlBzK2JkyKEE08Le83JqJCFpkOmn5QZw5EdSkgdoUERdThNqVYzZsDV%20xjq2sZxtsLe97n0vfOMr3/m2NxvptV02ZLHE+25jHdkwRAcCXNazWqFU9VGAOSmgYHU6wg0beAc6%20QIEOrslTrxW5SEa8NyGQjG0eIzABfUMs4hGT2L3XQML/DbZhDm1k4x3eAIUxMMvQAVSWxgN4wo0z%20gFm3ToAV82AANrqgDSDUwAIWHZeg7nYu1arLAa3YQRiUEA5t9GUbSvhCPZQAjyqXuMtdhgeYwbyN%20erD3Hdt4B5rRrA3w8LYk3XkznL0D0XDQORxC8Mc2UgGKenxhgzXVTJoaBppvWKAd7fjCFwzt5UUz%20utGOHjM6etCObOjpBbcwqm54I0Ol1tABN+wvqNNLVUqN12UvEQJRLPCicFjgGqjWF0p4hxD0ZoMA%20tl5OrXNNAF3zete+xnU2zEEAYRPbHMsxdrCPrWxig6ILQegCAaAdhFRsYc3m+EYZtkFWBZxqPgBw%20nlrT/4PFYATCDUFwx65l0YURDMJAl3ACr8T4Ah2V0a8fkZogCFEKeJgA2v6ONsD/LfCA9zrXBf81%20wg9+cAZsoQYmgIcs1PEHFuwDHxbHRz4ufvGM5+MJGHerWxEAhGi7IhsMwMANPnCj3tQNkql9xCSd%20DOUuCEEIDBBCtLug85oLQeEJ/7nPg47wD3zABEA4ehBAQQBUmKDpDABFFmxRCiiwwKAPCMTVs471%20UY2KCQfNQhDMAQ9zpEIWBKBHBZRrUzV5JQA1B4IQiF5zoNNd6HavO96zsYVrAIEBFmCAP4BwjS30%20pe/XuAEQuNEOwbdDCHDvec2z8WxXdGEQgyBAGEhQjf9bYDd1D9lVVdBgiVbogSsOqAM5fg1s8T6K%20vD5sCU+EcIIi+P0aDChCEU6jlOimBNfrWEd5lOTb4aPojaE8PvKPr6R0MB+VqOzHbrM0Fgv8g6zs%20Qes4w4me6PVHHNEayzuyZI4D+MEZ9giUx/aahkbYc1jgE8k8BuvJ255F1sMXZhsZ0IABwcMbUHhA%20xT3BPjwBAe6DAR7gAU6WW2URArADloRWONwAA4RLb/CAVGQUVmxUk9mBhAmXm8SLvIyHCOEfCfIO%20OaBDN3wDbMBAOmDDYI3ACHyDIziCOKxCjMnYAOADZulgPuhYD0pWMAxAFoCCTDQAKpADOPyC2gEa%20c4H/RpuMwwZ0TmyUIBW+0T81ABDwBTcgARH4nVIAgU+4ABa2Qw0UwQ24CU+wQzqUSLzYCTfIBgmE%20AOdh2m1wwESE3uiVXtSkjGv5DmtElam5xDW4AwaUQAwsQA34QwyUwAqUwDw4hkpYx3KwlHTRX5Rg%20wyrlhDZcw7bVxxSBmwIE2Lj5hzj4zmR0AwMcwBJYwm38iK/MW0SYQl8Ny0dMDT+lhm2ZxQn5w8kN%20iFAhQCBYQXu4BwAEWICtATJ+0xrsR6yE3OPAzeGVgUXRzY4oWd6s1pCEAThgA6zRX2P4lDfMi3DR%20lTf4AwyaxAz+wSfkwA5i3MXRWD7EYw5OVhAKREF0/wMqoELbKOGfZYYutR0vdc7gSBdb3MAC0EIS%208AQjlkAN7F3sCQAtEME1EEEjNkENvNRP3dadCBUJXFefeB4HzCEHoAEakJ7pVUA0IQcgTtVLXMM6%20lAE33AAtIAEYSAEDgEEToNo8EFes+RcBAF9yVCH+YUMLnpIpsQEbSIdzKJb1tYA4ZZ8ZmMH2tZX0%20sAP1jMU5pIUFqKIlnJ+FMU2GuR9IiETVCKVZFlHgIYEJoIg6IAB6xEJ7AEAsGGOAWYExPgA+jAEF%20LGBnoYWMHN4NUCAjMAK5oNaSDdC6VBI37otk1N8InuUvnWBJiBAMqAM9vCBhZQECNBRmPUFl6SA+%20eP/mjXWcZdUjDMgEKrABOXgDPy7h5XgGTp3GCD0mZNZmP9wAEsTACfyTRboaTyjFDaxADBABEAwn%20ECzAbhKFUWIMHMohMnlMVdwhCNyCJdiBAEgISADRirDe7ZRXS7iDT2BDEVBBGRBBDPhDAzQBBkAi%20p/gkNsVMLsanLspnLv6DKzQAJXLiqIDTqaAVKIpiW72VOkSLc0yGP4wfQzyEK1JEJpDRg9gbYMGA%20YFkNQQKPBTQAPHyIILilMM7ADLRAByijGUBRVAZYPuwlXz5jO9HIBjTFCzCCBYbAafWIJDUMJaHD%20Yq6FN45UP0nGa12DXPnNOToCMN5YIAxgaBKgkir/aT7opYIFYRa4wT2aAAasZmv2oxP8o+acBud4%20ToW25DUwAxFsARI0gQCsgEQ+jgWUABiUQBJwgwtQgZmWQVk8SUaOjsacTnbVoaXhoR3owYahZO20%20XiC2hCv0xAk0wRQwQBI0AVJQQSLWaUpcR0FQKnzOJ6bSJ6ZqE2HoRPXtZxRh37exSiheEVX2h1Vm%20U1YmBFd+TN1MRCYwCPuZkVfk0wYgy5fCBE80gAmMAOm45QMsTyzQx3p0gLcV4xqcKD0GQ2f5g2QU%20BI1Mo2k9RI8IEEcVkHDpKG7x6DX5aGPQlZCeCCiwwACwAAuMygx0wAx44ohGZR/MADPGygC4gTrE%20/8QIpAI6sKZrWkagxaZOmQbv5apKAJ5u+oMLqGei3oA5nFgM3EAJlMDtLeIK5B5OxCdQZUwLPWfq%20RGcdit6ffg8NeENKyETNtMVKeidLFAUSrIAAJEQSLIAFnMACJMY2sMNLhAin1KZR7qwp9WwpAQUQ%20aQMSEIBEjYV+oocntsAnzkepAKh+vBUMUM92hN+BqmLSLCisxuIsfg8aqdEmUeFQABdkskNKMYAS%20KMGGksowKu0MrIqB0UcHNCkzMusbYkM9iMa3UCCS8QiNMhlrfcAXYMOLfKBklGM/0KZtupG8pCBP%20qINcocMI+IM3KMO5dl2AqVXbflsHzKUZwOuTTv/AAPyBG/SDgNCAEoDDIezra2ZOADjXbL5h4kJm%20TyyARCaqO2wBFWAAEmBAESzACjSBFNDAAiSBP0hBCVgHvJignYxDnmTsR07E51VESHKAHSxCoNaf%20+lxVapzs62GTEEwBFTRiDTDACixADNSCOIDnQMqaH+ZEycqJpmqqSwztP2yDkTSlqFaRVEJPgMoK%20DHTSP6zq+K0iSXbMK0bF+oUl1HxESOCqwLaET7ABAWCSIJxrBwzjujJtVIbTiDYpf4RcKYJWQZTB%20FqjcHVRg3VCrRjEZAbGLWHTjtg5kj3rDifCE2dAwJk1c1zGBuvaBWhFrsXbugrnVvNYrQnQDvrL/%20JpZihpY+zL+exgO3BBKUABXo5joI5yJiAzNA7BawQSOWgSGWQPCmpG1dbHO60MbaYcdWpx5kTgV0%20DWN4qsmWGku6BDa8AyLQwAnQABtowxakAgZQ33ikpErYV6wFHk8IRTj4A6v5QxkwskSZgz8oVmLV%201k+5gzz4gzhksj9QTyf7RBCURTj0A3FZyUm4AhJAimhYnydSUTiFIv8+bX8MaDZtgwtqgypeAizc%20gT10DIMyzYOKpS2WRJdICXgqBS+uQ70IngX4xIsoc9jW71gYSb+AFXlch6fU0fD0w8uAVTZo8jYQ%20ABtIbtqeyjC+slr9sBkkazptVrMahZK0QwPs/0BTXALLJZk1AomN8g2OwnCUcKs1GQy9xM+JwIAy%20MEHXocd8OKXmwoexzsCCyWsWqENctMhuJaHqZmkTbqmb9FIUs4QrpMIJ1IAraIMs1AAGxAUbNABC%20rAMSKAUBIEENyIIdu6Ex6WkaM4L0NkQMWO/eyAEh/yEdo+xKtBM8+445uMNibAMlpsR2CM821UIR%20qIUQCIALbMM1WEAZFMHDCgANWEAtlMAJJItK5KJQ8EQQ9EMm/15P2MI2oM8/SPI3jwUDIEE04e98%20ZB+3Oa3QTM/31a8L9gNX2kNXypustt8CjyWy+MOr+YQ79MRjP7JPlAG2BUUzD8XvgVSsMfV2jP8F%20ekEHp9Sv14S2/RLtk8iDOTRAOWADkT7ADChAC5jVBqdzOnewkwZDBrxzbIXDPDfFYMZoGqhwBrJw%20Yr6wY9BfTvlU2wy02RR0FiD0AyB0gIUTfPDMQ0d0PapDVrUIG8gCRi+xRsOmE0IMwH40S1xzSmwD%20d1BfHb3INbSDO7hDXLQvSjBnnmrsHaqxnwbAPsvBFkHVUHfvSrxDVr4ENpwDQbiEc6wDItRCE5wn%20ZZcAM8RATzRzDdRCo9YADdgFFdTCFmizQN3WNhCBALyaLAhACTz2OhBADaCpABABAbiAAAjAFpTB%208KQ0pBwtFHGbU0KlffB1MMzyX9vyJlntC/D/srw1KPdsbaCmUdUkMhIgAU0UwQn4xKuZAxi4AA0I%20nj/osXt3cilqVWifxIpPC1iZdnSo90r0Q2GsAzzgpzek7RoMYx8YK22ns4m2M7P2BDxfQwTS8x3Y%20cyYsAT4b5jXuM5HkqMrsqAxfkzeUY1A8etmYhDo8d0IbK32USnyEaAdYAUQ/KZRStD9wtyzoK3hr%20KZtwqUebd0p0TTdYAIWmRAr6xCbG8ZbY9H0/bx3qtKDcQib0dH+/b2tw76iV9YH3l2JFEK5oA25h%20Ezb/gyyswAqkBfkaojP7BBD0LhucCCogZ4aadhkbxcs2gS1kwzUIL7n7xDywAQ3QADOsADxs/7jv%20OkdqWzPyIO315fWo7nUsL6Bf13Jgq6JT+IgYxSpYagQtKnbVoCcVC4A4CMHDxsB5+gQDHGIS1AID%209MMWLIAUuMJlBwWAqLdy3BdKxEVKSIfwbAd0ZANLFQY7pPYIYEPavvYwGhi31XYxnuiT5jafx1ZM%20boKLwigIyKhwH+a1tkK7KHpGHgVAn9Cjy8Q1SDoN/4MbWPoDVO56lEp1czoAfPqTDoBAxMWAyAIi%20mPq+9ut4P3HAsrpO9AOVpOAmwX0i14sc15YZDxUa53d+i94iWG/UAPWgdqeAGzujTHKsMTvcuIRn%20/wM9TEEMKIUA2IUAtFpWu9oitgMqVEIMMP9DeMCxJV7QAjTAiTXi49Npq2FDAzADEvTDZ8VAE8xa%20Jm6Hjtv80tZHMfZ7kK/TkAf8gdgDkh8wMNMqYHltOLhDA8TACihFOIjDFOTkY/vDCtBAjagaIy5A%20jbhktdgsWJX88NQRWHmKfwmPc9QaSog8WVzDCGAAPMi8W16wFH3TnfO7smbRnjsrNsQFN2wB0N9B%20jgBEJhAgOBQs6KSgPRCPIkT44cCBnQ/osF2zeO0fNo3Y/Fn89xFkSJEjSZY0CRIcuH8d/XnD5q1f%20t39usjB58MBmBwAAzLQAsAaAFaAAZlAwGizYgCzqvvn71g0VIm+/OCC0WhXrVSdp8EBs6CD/wL9r%203K6hQ0f2ZFq1a9mO7CdS279+2Qi8/cfOn0Z//fyR9JcX2zhu2jaQuIPmBYc0i1+8sMfhVqYQkO8s%20WuQQohxsbU36y5btbV9/rv6tO3kONV+5TUH223iy71tXJWJga9DEhQAB4SxYsHiiCY1r/lDViFFi%20hLlvHzdvrEijSYNrRYiUWVDGIjcg4VYsYOCvG/RaFvqyYXNNW19DNzuYAdBCQVArPwEoMNOhw5Mx%20YzJQCJaDHbze2gabbvo5YAlL7FFwoMYaAyGNRsQIIYQfGoqgEAfkUAcGbrrpxqIyVihBnGsaKGGB%20KS4SgogYFgCjHySmoGGBLSwSokRxxPkn/xuQssEAJPNMC8kVNjAg4KNs2ADpr5Wu+QYDePwRBIEH%20OmgBSzPus49L+wDoAB+j/AsGgeE0Su+aMi6AII1beBAIwsewKmigRyx0IIKIPtign4swck4sjDgb%20lK2UVuroJZi68QeGmm6y6QH3euIJqKGKEjMpR9Th68MuMJgqq1C1qoorr/KEIFBuzBqL0FZdJWkb%20bfrpR5tt3orrH1nYiIsv9DT6CNeQ/tKIm3H6KeywxNKAsLGCmuUAjUsWWeFCByoQ9NWVPgttJdKG%20LGkjWT8CzwIlAPuVpB6/lWWKGCxwYcQmqKDhhCR4W2GF7xowx4QF3BVpI5euOcHdLRYQYP8KKmq4%20hoHhkJDiBPIaYEaA2P7ZAgN/4rpmPSvNsA++nYD6+Mv89ssgmAlyUEfAfwg0EMFbXrhDIRAchNOU%20Rii08CtrwWHHw26EuEYcAVa4JhwZ8cXOIgaAcKEJ44hwIYaFr5HHInZ2fIsADKZYoIh/UilBgAVO%20qOsfRPxdoRYCZCkbA1zXYakbDMz5h8pA1lAgyzV04mknnvDLhwKUByCTG8DQVBMCyBg5ZiCDDkpo%20IQsf0pMiPzPaqCNss/3c0L1c0+hDfwhxFKdI6+uDb/e47GOGMY5KailOu6kHA3CoGpV3UrvCM8+w%20xirrLM8/P36tvpj8SKZtzIuLQHFQ2zz/2EOHDWwwZBFTjLHEEHthslsqu+xyzY73DLSVui3tJHJe%20a9J6jdw/KRvT2GVmgRX8AQKIJEqwoF0WuEFwxpKKGBgtFf4wh/KaoxFvMKAIuLkGEUqwgiZMoQEx%20aEA4EqYcVFgQFVv4zj/KkLH0/KNj7XlPfIJCH/vgRz/8QQqAWvayAyXIHmhYls1ekIkXDERCIVgC%20zzCkIQ4FDWlC0I0/yHKNGtACAzWoQTiu0RsqgKGCK6DCFAhwjXVYRB7iWMdblCQAZpzgH67wByKY%20UYIufIQNMUgFSE4ggCYgAiTbcFLdTNANdVRpb33rgJdIdh8wzS4YnzATNtDEADlAAAS3/2AEnNIg%20J4TQqXJ5ypNE+KQ5QHkEedkK3aw2UrrTMUEYqWuPAljXgo+9LnZGMZym/vIheORud6LS5VZ+dydU%20ZWdV3AjlMNWisRO6LEmyIIDyzrGRdRBoM0z6C2CKdSwShGB7y0rDs54VLcsAT0M7+hz6uDUa9pmk%20ORlRZzobSErlfeQbdvmHBdxGgC7Eilbn2MY2CMDIbGDjLUoggCvqoZdgOccbtVhBMASAgREc4QgC%20GEEqFnGEEeQCDNzoAbzwVQJbpMcfqXDHWHqQQkm5MigjU4ACrBRDlP0HBuy4xluaiQ1wHOARkVHQ%20YpzQGDg1whQ7q5bPgAaeEcCjBPirBf8GiNDRMqDIAhQ8zg0YYA4aMKMBQuiINizyF2181R/0YIYL%202nGNLdQiBieI5zqgEIMRlUII7LiNjfbyDoD+AxyIkA4MPqElLK1hb/FxT31EdsiXkgkj3vCGXLjB%20DRs07gWM4AEIRCG5OSmEIZjBXJ/GkrhPvpOYrUpHiQQlCHCMwB/xcEMsOsCCnOhksECxwmAvNSal%20qGOaI8BGKrSRy95ppVTgFB5ZzIKW0B5XWP4YwQgyAg5v+AYIUECAIf5QXepW17rVzcIf3OAUwAiG%20MIbJZvec9UNo3UIAduiZHOQ5rr1whpzqM+e3SMLOdd53M+4Myaxa8w0LbGN+7CRQP+z/ujlyvGN+%20K9GGgfrhDW04GBSuWMUy3DACE1x4uUcwwQhWwYVTaLTDq1iFcVOBNY2adIWBG8oLTcYfCqgsHXjp%20S02xgVNGwMIS2uzpg0AQxApdKEOH2ECHwOMPC9CrBnZrQCowsAV/NAAJZq0BDSwgl3CEAwNaHU5X%20MaI8fzCgCUWYxwRXIIVa/IUQ8TgEEQQQAzjM42ENGPNG4qkOvfaDHQiYQU9aIJSVxoeFL1xDmMaU%20AQQkTrEVsUA4HnmHyE4WBPZIw+QwaSdNRiQMmevsNc7hDXLQqk+ymtWoSV1qU58a1ameVTe+kY4O%20cSOeG9jAorhBiFiYAVIPWIOkfjIf/0v5x7aOAAdf/CGlVLzjF2n4rahK5ZBTiaWxxeWGqqldbWtf%20m9RK+MeHukEOdWzqBifIQSDIPQBynzsQ5k53uk8ACiBQcxz+KAw2lcWsxHCgm5YIgB3u5IBDkON8%2025Kvt4YZTbU4B+F2xYbCX5POaT58mv/gAh3o0INxhIMLE++BBb6R8Q0vtxvaGAG3/YEBV5DUpFxy%20j1B4Eh8YnmyGLHtvTTeA00tkgkHKdtBAcibUnlXgZ0EDzzKN/JHveNEiI/XvRzgOv5XwhSPmGpct%20YuCCsdzgGmWzAAbcIVN20IAKQ0OCBhflD3IYCK+yaIDpPnElLAnlY5IS7E8M+9Iy/f8j0R1xLAQc%20zQMeLCEEkzbIJTFrOYhIBB2cbew1nNM5iD8e8pGX/OQhno50kCUvGwAHrVdrBtdaadcr5Ymvd1Jb%20pNx2JR/qBwa6gIhd7jK4Xxku8TBPedvfHve3J903NiAIHGQBA4EQQCDykYEBGL/4GTD+8QdwuP+4%204U/YC2+yuLfNez8IWnfQg3rzpKH2uiq+oiE48gxOklEzB+EaOYcr1I8N972G1CbRRsbpIJh5ZJwL%20PfCHEJbBheVa+ONG7kPMA2jGAcVCpoWA4oUewKVmKKbQ4x8UjhwO4A5uTod4aud6bEKGCMg0BBw6%20xJZA6x++4Yv2r2kExRzuBlg+AtT/ACOPMAAMmkAApKgITkAKVsACzIwNkiAJ3EoIasCOaoENUOsv%203gIcQKEB8AwB1mAG3i6wAqfP4sNvCA0pEAvvXKJzGu0F3gQElkDSKI0D6uRONmkHMqdYyAJQOgK5%20WkUc0qGrsEHWFmUebG0Gck1L+IY+WI4oMCUpBAG3aunJusC3Xs8qYu/ZgAkdWGUNkUsjLGAE1EEQ%20/oAF2qzc8mEA9mEALLH5nqD5ji/mvEgjxmEc1kF76s36yqsg0MASts/ZNIQjIA++BE78zul4tuyd%20GgjhNmfUNMJtfgUbzsHp3st6Hq4bLozbFgUb8q8HzGG5+gjkSO7hdOWrUIg9TkoB/0iPZF5OhlRG%205uLiHRrsC3BKpxRC53gMqHyu+4AOaD5EbnrEZWzxGrpuOA5lBQHq/TinL37EGFZgCpCgFIqgBMjq%20GpIACf6hCGqhFhigbiphBYqADaQEPL5BG8DBFRpgHQih7bCkzwKL1wBnCmXocA6tH5yLq8bisfoO%20TiyL8BaiIS4H8frkDBmPc7oq92rSJv3B8jAPDjevG8ZhtWbg8yLllUaPPvawcE6vdo6RDWRhEJeN%20l0wFLPROVc4icW7SKq/y8V7CIpRhPYwvAwKhA/IhH55ALMUSH84SH/JBdl4sBxwhHYLAJQSDFMVL%20WcgL3+7NEtBLvcqH2LIl/NaHvv/8csuY4x9kJf3sazOKpJkyQhvKTy2MsRtA7h96oOJcwaKU6xlL%20p5b+wRwwgBzi4gBZiPQW0KX8IwdGa6Zc5iXIgQQe4eY4QNJAYMd+CARMYUJ+rCGCbMiCpjBDAqTW%20wR38oQykYx1AKj3AChdL6Z24QQg0SjB6gBvaAQgsYi6KTCH94ePKrkmOkA3CAQb0jM/8TPTeA3C+%20hHDGBLFaAgstYk1Qsgu/cE7CMJPwBNMSj4kWLw2NZxHVog3fEBxmjYlsrQMgRYVCRrZ+LRj6I1P+%20cFG6wRWYkhCZrZcOcSyCaT+PS2D84Q+YABMDYR8eYB+eYB9CdERLNEQpQHZQpi3/R8slqukLrimb%207A0VI2kVuS9PzGecZBEwkUfvLiJgXMKBGOlJ/MQiCKAB3o2KyKMf4kk1Jq9PRJGB2KEU2MEWMKAf%20ykEJ4qEH4iEeCEEURRE61wEDlKAeRiDl4k5kWq5kGhCmZCo97Ioc0MHmcE7SyhFndAY30/EDxyEy%20saGfRicb/gIvrsEWzmM4jIk5GvMl1M+umuQv4mF4SoEb5qEMyGKkhqMMFujhmu4vDtUbQIENLjIj%20nZB1AIfXOmDQCsfuEmvYsmMT+O7RlgBCJGclLc0lJ4IcGqsdxkEm9YImsRJYK+/yZkreNmDkxgEG%20WIsJciLufMIM5uM+iKI/Xuq2/4rsQwgAEVzPKbPCEMEC2mjvUINVXGuSimDgFx5gBmLhUTqAdW6C%20dbREG2XnP7KAHWBACQJjFAsDBMbrFPHtFlKxRlvS+0gt4mIxfWYxMF9leCwCobzhHd6hC94hG4TA%20HNwBCHrDHCyAAbLMAoTAHYSgHywgBVNwG+hCHj5jZFPQaeYBCISAAAjgHQjBFtgBAz5FFpRgFU4h%20CEqBEHqAZ322B9YhFT7ABD4gNOXDhe6DAU+GLd2AENYhG/hJCchBCVrzNet0NoFoA4koQzbEDUrB%20wrahC7DBFfqJANYhCLqohGzBYz/jq14WYiE2YrvAnt6hHuDBFcxBCEohTfZ2b//T5GPDgaqwgQFQ%20wR+2wHAZAB7oyR0YoDfooSIJIAg+Yc+cUPQGS8UOqdAQAAjMoQtA4TN641VtZpLec/AMQgwvrRV2%204AuUwAJYdh6EoAtmtwsmFgg+A3dzV3d3l3d713dzNwWDIAj4xxyyARTCwAQswB1OQVmrkW+kMKV0%20wvSSAhTUYRvMAR6SwxUw4BC29SqazZd6AwjaIQzCYHwJ4HfTV33Xl31xdx3KYKTWYwY6ACeYgF37%20AD/+DD9aTF5zIAsIIQgith0GYRte9BFe4BZis1+bhUa3D08eQg7EYZ/2aR2KM2FhQ0fn6ySqqCP6%20IXEY5hq0Khy+7D4ba4xcwhv/uqBs5cEdPhYOBgEIYLhYBmEQkICGB3gc2qEdGKCxeLgMPBZ9B4pf%20CIALVsEVPuADdmAHjuADmPgCbKAekliKk7hoTcAdSqEUeqABasAE6gHFeoKFVGpNYS4YAkF4hSAb%20zMEV3kEJ3sFqM0EayDFreyyo8hQiKkAQCKEU4OFlQYFuuyCAB0oe5MEVkIAAbsAdgpguFvllX/aP%200dcc0Ndl9zZ2XbYM6KIBsLgMGGAeXnYbXMEV3IFlsbgUqgoUQIHJCIEF3G4jxzM+UGoKjxIpEKAU%20jJduhQCXv4DvMkGyZFUlKSezXHIHwqALhIABsJiQCaAePnmT6YIASvZlnRl9//mpkRnZmhUZm6/5%20mglAb0EhCISgcwnglE3AHBggCED0texjUp6V7qRV+U6Pu7KBARjABPAWAyrAkuzBKbs1APR2EIQA%20ieFKm7OZoAfaoAsaoQ+af4DAHc6VXek3FgCgD1ogf9X55aZVZQiBoV2hC2iYAMKABKpBZqqPm9Ag%20FTlAD1pBsyqAHBoZfaNWj9riLzW4MzAVAxqmDMrgBIpAy/Zv8czEJWb3HehBHr5oHgQDDlwgCYgg%20CcDAqU/AqZsaDJaaB4lgC8iigguzHIqMDk4BG5TgAvRgEUhgEQxAD/TgAMT6rBdhrfWgFj7Agy2u%20SsHjaBOwPpSWTXNAHFoGTv+VYE7RIDbn2MeICCJSQRBgYB4iM9HSQbG0QUc6QggaAAaGBlyC9CXo%20QfUUr7GaSFBkoQyO+ou0IY3HZbMba4TpQR3Y4AbYoe2asJVXqiPpjgpneaa8oVUtIgxg1e+6sJLA%20MHXp0w4yLVfPcB0WtUDClQWjdlxo5ZnSA9ueOya6AQbUobH4wiyONR7UlUBBRrB8TXpRhlqrFzxU%20TxsQ4RAKQhqcQJ8JsVt/Kdo2oLqhW77nO9W+YQTCoR3Wg11vIqJboA8eYLZgGz/2YT+OMgcI4ajd%20RzCsKQRGWpu46d7QAA30gBl+jlZkRQRlOoPHrySuwUjN6MxuQwBKgKfnQSr/o48c6GF2xQIIimUc%20eiAF+CEXUGDGtSAXzuAMbJzGbTwXZlwKomyR+EIJRo51j4AEEsEDRkHJRwEYJsEAJsEIgEEHPEAH%20mNwIJuEyi+UUboCrzhSlWC4bW+ylcgAGxIGZNKLmDjgTYBMDeazn8jRD1DFocpEjLsIWpIMsUO2r%20jmkk4PEjyLQbviAVsI45XKMfWpceziE7qjIltmC1EYCV4Y6FfMIjwQQkrTDvcBtWe5kgaBWYDW+z%20Fh0wHIwl4OL7VONCLQ+UUuJDyEK7PQZknNW7pVWWUa/INMYW5GBBqmK9f4ufv7W49PNCP+dDZuoP%20rIR+rYAJ1sCVrOABBM3Z//Vjdk5zkQRD3khgX+tygc3LpFNas3DULzecFkkiHDo5BotAHDBgAVxB%20qzqii4YnI5SAbr9aLNphhjuBH1CAxnu8x/mBHxZgxvk9F6SgCaSAEya1uKcWM7thAzbhyaN8FKjc%20AzwAGAzAGqJcyikeGIwgFDRsBASjFG6gFLChrouSNJlWZQLkvRTuQO7gFnAssDMwiDhwvY7oQ16i%20wQAKoLbsBgxV2N1ijEjNT/biFT/kAxqAHVxGCfrh00ipzqPzGvyIIpG+r/hsDawAtgEnjMMSkUTS%20tjnrGnLbPePEt+czT1rhA77AGzrLs9xvM4pOY0RijNyCvq0tHah72vwhJf9GTqPsd7v9u7uFQnr5%20cAA0hSNKp7xpIIfSu9dhb0IdwL2nMr7rnvLnu3S44dj3mwmswAqwpANm6yf8hgHFBGWSQB0YFhuq%20ad4cXEbvMhVfgBW/4log7vw0/GB31CQuQh7Gah0MZgUEoAE4W1DMTgm+4I24qlh6AA46wQdyQQua%20XwueHwWmoQCe//mdX9/1nRMEQx68oXXJgRzK4QNsQBQmfhSmXAfS3wOswQAKARjOHxPSn8mxvI9e%20nA5sARX64Yu9BMwBQgGADh2ejBmTIViwHDDE+ev37xw2bOgOPLqUyVKajU5eeAQBopGpECF+RIhQ%20yIGDCuBgjOvWbeLEfzT//137dq3BjX7cLHD7CfSnz2vXgBL1dw2pv3/+/NVTUm7EBxMfEHUrpySr%20ki9ftnLth41mP3DgCDSA8WlNi7Vr1vRRYAYAgLhxO6zBRyFDwmAIrv3z5g0b0mthINx5wSgTiCUc%20Gjd20tgeiEcnf6i0EwZdP6I/3QWemVRbv9Gjm9L0p23pv3U1W7t+DTv2v3TpiNIkC5PbtVgPmDwg%202MfM2rlWAKzpAGAGhbwKB2RRx9Rft6aIKth7bA+ydg7bnaTBo/KkgwA2daNDp1u2+vXs28uW7i/c%20n99rejNx24Jg3ONWHhjMQIFCOXjTjz8TjcONNhuQcAcaL3CwURoeNTYh/wdocKBHKxFY5oAcYbn3%20XjbZQLSUP66sph5R4QAhRRHuXFMGDSvEUIYF17x4GjbklAMWT9eMA0cVueTiQ5FFEqnFNNMc6QMK%20WkiCgiQLcNLONexg8wU5WpJThxrWeDCKDh7oMIoHunhghAFtADOmmGMaMckRJowwzjg9lNFAN4Y8%208FtcLQgEQHFrAABXB/4dtBdD7DwU0UTkHHAHRhqlAUJHH4FgihgkmSSeGhWok85LMc3Umj8WfHMD%20EIMRxSqrRrWaVKym+QNVVCOMYIIcJnSlFVdKoKNlOdik9g046piDATsIrDHDWlasYQagcQHQwrMd%204BVgMBn05Q9gghFV2P9hPCi2hD1pPOYYSI+Y5EAEDmCmmT9ArSOTNtmEw6hY2ri2Dmv/7AtiwDTR%20dtQ/ZI3QDTfj+OZbB9G20EcLcwV6XHLLBRPgAIKo05Q/IywlizGwcCCNE9lxh3J337XLLgQ2FXVe%20UQLPTLN68HEz329MMGGFFWt1YMV+xx26XEIDfjOqwv0s2OCDlEr4IAcVooGGHsyc5K4c4tTUsWkg%20+iMiiUyd6G9sut24QhFDiUOEFDYWzBQ2pCnxz0/jpHDGGQUUIMI0e/MtwhWU7C1CAVpogULiKHCC%20YLfnffHBDovoMEcCeSSQTDKXJ6OLLgbMEskc1gBjROnWhHIEOfH0QMf/OKikMsKefcL1p6BzCUSQ%20QQgFMwFDMFyz7ztgbWDRJS9YYm4aliqGaSObnpTSSuCwww1MpF1fIAMMILEFA0B8D3743ABRChBA%20AQHraFddNcIRHyjRvvs7UPVB5FxF/j45poJDDzxIEPKJDqylWmtQgAF9BijjXIs5CkEAN/rhDXBs%20BlyGQQwPlgACx6CLA5JZ14Yu8wHNFKVO/jhHF0DzEG2sYxuq2QYBINIPgD0EezSsoQ1rqA51/KQf%203UCHNxCmGyZ0oGEdCM5wzCAogswAQHtxjjqI9TFsyOIE9rAEd07WnZStrF3uCsBmfnKeHd5wjGQs%20oxlt6K1+zAdoD/DF/wOE0Yc+yCVaZjBD7hCSrRxsYDTkwEad1sE0B0FoIxX6iIWqpiEOeUg0NAwY%202EbElLGhSDbXEMIWiECFBSChAVMoQQySII5rvC1H5dAS3X7UgxTwowoiqMIV+FaAKshgb5SQQRX2%209qTEQYlK8diGN74Ajq58oBWjyMMcKme5BChTF6OYxSyOaY3SASOahUCFN1bXA24QAHaycxi1AGW7%20Qh0KjwuBwaIgIhEdWYQRsLiFuSrlkReApBGaWgKn3NWhllQvJrABgguKIIBKCGCgBC3oQFcggCTc%204FVw+wdMdlAJO9hhEa3QwyIWIVGJUjSji6jFB0bwDwsYSxtIYMcnZv8gHAIaMIEKkNhxsKUQvvjF%20W4MJ1wvGBZI0XAdljVEXu9zVig/sUV4/WQcNpiCHc1qgBrUowRRSIQskJIEGsnANRGrWnnSo4yj+%20AMcPu/EjX8SiYQ+L2MSsZbGLBWMAjlBHgTwGEVlUoDGWMFkWVQYeLjrAZZyJGTewCliseosdORvi%20A3pm1jrCxY4FOQhz9CgTbChtQSEQ5NMKGTUHZUivWusYVh8pNhNNUjbvwEARanECDLyjCKndBk32%20BRiaJOUf2CCLN7iRSr8VYJa83ds0ZHCFV/pNCxKIUpSKQYh0aElm5ThCG5SpOWVKNw+aM4UBjnkm%20NJUuFDvwBjn+RYf/QVwgdnxCzlxaMK1BRWsgjd1d79Rxzn9sAxvi8AYJnnGLTJDEFKbwyC1CsBGR%20PA8lKmEJ9aQTwm5YgHV04IKQpsGPw6HAB1qg8OEQd2FJ5GIQ4ZhID3pwqx6c4gNhwME92oCJFHsA%20GKFYU5h0ICYdAAPGaerBOAoEjnf8owYAdJizoFXHiaX3WrsbgEz/Ehib+MOmPLhgBjUIGQ5OpjIg%209CE2isKNWizAk7WwCTtqkIQiSGEFW6hFEqhQglYJwS+yycZrZQuEt4XjGt4TwttykpRurEMc7AhC%20nqXzDxhsgAUsMCBdJobo/SxRrU4UzHRo+w5j7NQelNagpSGUV/GQ/6co1wjjNd4xkXMEBtR9PMc5%20yBGYc8iqKfBQjWsmAhbayk1utD0HRLDh2nUAjJGxgYkgHPGHHChgDTtzVgdaShfG6i4v7/XLgRIU%20SKcR8kGwAEF2bgECP+hBDeGJgIcCy5SwRVK0ZVvPO95xjoh0Qcf/Yk1smeJs2+I2BYWTgb13+7dY%20XuGWw9VllDhxCnYs96/l2MFzkyldzGEOE20wQDLmgAkPSBxNqPMuNrrRAy6kwgR72scDCCWcQIVT%202YgSEDviO19xiIMEpsjvfvn7ghBg2xT0HDA+U7EBGPy1G7+qxz/GQYcUTCMXKODH0HNR4QtXGOlN%20itIKBvGNA/XABP8mqNMXwqAHVZBCB3nIgw5OZwBgvHjFEneTAbgwjqTwzx9IcEMAU2qFY6+XWhN7%20qVqP7C14hysTTX7aTqPMAZ+6y1122IGVOb2AE3QDoSNwh27i3IQThJIBK5DCFioJI1dblWs0wcAK%20VkAEC7wNDCsoQelvQISBYmAp7BAHIToGk0A7gtBBnpbt5ygX5TDaEYJwdFNwbR0O3KHSF7p0Y1a2%20IXfxFWboKAo2CNBHAmAjMH38jI6wIQRzIEUIsgnLRLQBfltPxEDe10ZYdN2PbQCs1934dbAJtTNh%20VOsBf6IjyYu2EHo4W7I3jjaEQAA1yEMpmfACdyAKeqASXKQ14Ab/WuNGNuqxDlclG7qGZLK1FLXl%20VfNWb/jGgbvlSnxTBcRlXCiAXMpFDkVBKwY3XQkHXXmADAYQOtllBBS3AxIkGKwjJ91ERwmkXrjT%20XgnxXihHX9hwAPgFC3cQAjCXCf+lPDQ3YNFjYNwgHb8iL4OAN4oDYRdGYRZWJFpAdFGyYdcwEXQA%20Yh/TDXVAAtbwJVyXBxJHCgYwCi/mJkYgJjU2Dk2xdhgQBGkBd9ACF0ImF3anFw00U0mWFHvXZBhk%20aVHWQSbBIXYQQoHBaSuQeAuwAvKSFAxABAtgZzDCDCugZuXWGmXDGrIAekiQeEVxA0LQAC7QBEnQ%20D0hwAk1QCU0h/w98tjXT0Q2BRgi0h3uJ9ou6dzGNBh+05QY0MDLFFxnGh2ndNh7l0WnocQ3ZIBPz%20dQ6iMSzbIAvYQC9JgS818Q2w8SGR1Boq9BDZ4Fo1EUNvBhu+Bmw5YBfFlh9WgGxzQXJjwGw5sFWy%20hiAKwiCWNW0cAAvmkhEgcICtwEXeNo6fJW4l8oDrEUOp8Vrb4C8FUoHwRlvylkob2Fv59oH9ZlyS%20AHACd4IE51zQxYLKNAe6MAkGwAsrKXEzaASoA2v/gINs0E0zcF5y8SxyUSg/GCA5cHKMknIrZwoY%208XIdQRJokAY1Z09Y4y6pIAjpIIXd8AXoEB+dcAa5kDdnUAVDd/8GmnAGrxCWedN0urQC6DMRp9AD%203fAxshB2asiGXmcE1mAAiQAMmABjbvImZ5d23bIB/9AAtvB2zhI00yIXc2QXMKUtfYFkYYEUTMYD%20frdBgTcZP+UAQbUBkqgbDCAAtRADJWACtqAbFtAEU0AUlLcAulEG/WIbsbFC//IPGNAESCAEC1AE%20QlAlRJEEC2ABa1YGzFACPtd67AA80rGLMDB7LFBAt/eL0yKMzdFW3gAfBkIOFTCQGmRFzLhF4rF8%203OBX0rcN6IgNriATtGV+82UON8J9/0AA4kiOrSGB/yCBYiMW89ka7hhsAuEbPtMffyJHdXRH+JcD%20+kd+k0UCleX/NAA4IZIBT2lwgAl4EgsYWA3okKPlHqIhGqdRIO82Wxh4Wxu5Nx2ZbwWwbwUwDSIo%20CVBSggMnHZtwcJeTkpizCwYACZiQXTHJXYEBEaxjAqmQk+hVO8ZxO+ylO0Coj0JYX0WYX0jIX43A%20CJUVYCNREtBTYNMjhSOgJf7AAFrZStNQBZQwDYUjS4BwS3tzBiIIhlUSGHWyDVZpA5GQYjK6TLtQ%20o54wCpiQB7qgAzMYkwZgYx3qDf+wBYQJLcZGR+cFKIIYU46Zd4doGHznZIsYGVP2Qe8SQuBwZY/X%20DWywALVwDVPQABZwAlRQBtdgDlNABQ3AGf6wZprnGuBHn//w/w4CgJtUMAVbgBQ3QABSIABc6g9E%200AQYAA82YU7X8KaABgO9yALO6ay5VzQZ8xy+R1vscAgj4xh3wEHcmWldBI1+hRQEECvrgBTuIK79%20IgSuqhTh2H01oUKjoULrR58FYi/+Ioql0g3q8I5A4xvo1TOGtlh3hI8Z0Gz8CG3/KG0SIgYctBGZ%20EKURmpByAKs0Y6GSdK/lCH5XtY73qRrvhhQZmYEiOkt/M7J/I1yG428iGXAD9w8Fd3AIl3BzkAe7%20MAs3KoMUdwTfZ5N0MAIXkJPfFIiJ+ZNHanJKapRImYQ09wL/xUGZYnMqIQf6JB3k8AX+MAidYHS3%20FKZ+I0t7I/9LVVAFaVpcTjcI19Cm8TAiXxCnckpd0jUMwwAMswCDKdY5fipxfnkN3RBB/8AAiBBA%20zVIth5lAh7ZA2YJ3SRaZFdR3APh36XKZg/cuhqepnIYElFgJ2UADzIAE4hADK1AgNRADligAqycr%20snFV2xBXqcUMLgCs1+ACmtsUSSAFtfBo4hAEhHANBRJ7yklozfmLwJhW2cJWvecP3/B72HCtzGh8%20yNcyLwOezSeFc3YNSMAGN/Ii17AO7pCu6zC9N/AQS+Fmr8ahr2EvoqF+6phr4Qsb0gEOwPYbhuWf%20xwYXAdtYBGqgE4GgTfN/UMOwaeCwHACxCiivNVOx5NYe4Kf/Gk0RkTXhoReokfTGW15Qsr5lolcw%20XMUFJSSYXC5KDic5o9NFs7MwCjc7kzU4LP9ABzybCqxQXjpZjz25XgKLpPBFlPT1D/d1C0eYtE6g%20X0z5pDaXElEIE0pQDz/ylSZrwX+zgXuDBSgwthqGPoCBam4ADuhwAaGTkl2nC5DgCYmgp8nQpxOX%20JnXSD8UyqEDwCYVZLXJXpIn5UkV2uGEBqXcgqYoIZZXqQY8oVIDBaTewcSHlD7YgD/6wenOGDUhQ%20A4jcFKf6sbDhWhBBgbIgBJ5UBlMQA0LgDp8YH7QZAxYgC03BZ7jrUMrKrM8KvMIoreogGB8ja79w%20HWhQacrb/4x6tWnmAb0/gQECgFCXVxQ1oMsxwADtUAu6XATmoB5hsX6ugAENYMyz+i8NgAE0wRr9%20oL6vwb7vqDM98yzFgV70u2y8o4/714/+FyENCoD/C7FYI7EM2JAW6x6oQRrk67HxFrL0hm8karKs%20ZDgY/G8rW5Itq4IfnAAyqwvONAwwJsYVd8Ip3LMIUF5+gpiDAnIyHJRDCRFFeQBHqV9J2whLGwIQ%204pT3BLWgsk/+QA7ccLV+0zeUcKYicG8y4Ddj6sS6FANAEA7e4g3yoA5hcAHHhEwJt6eQYKMpBsYT%20hyYG0DrFu7cWgAF8aJiKJRfoNRd2kQ9356iISxiKO5mMW/+ZgtcukbsBXsVpSWEO/dBqZdAT6oqq%20vycOQkCu5Mpmr8EaEUgTBFAEoZkK13ACAvCbJXAC2ge6ujwFJtAPJycO7sAUu7ucvotop3wxCcFW%20qmwqF4gNiNAYwxfL3OqM3+lX1wAElIxQP8EADeAON/CKNSAFGJAEMdAA5Qmf/wK+tTAjAsAG/2AO%20qYEEn4gI/5ANE+sa0uEN7pvN2wxyhnZ/u5MDbrB/CKqg+9ugaUDHjADAARAellEB+Emx7WzA4HaR%20H/rAvyXBXlAA4q3EsiRciONvxRAPJJkeShDQM1o5ecALQg0MJLyjcuMPH0Z1LPDQ5xUXMOyDRLsQ%20NLwUfST/DtiAwxvNXzwspU1JpZwChVgae35EB/q8W1cgA62U4S+NoligplB8DengDfADA+ogCHH6%200yyYB5Fwl5FwOXlQOn9KQl11xlAQQAMUdwYEvIK4F1ctx0sWqYn4ZI7BiJaqx2HtDWMdHbIV1w/x%20DdjtfQEjGKbhfTPkGjDhD3xmnLqLGunQizlgys4ZnWuVBW7gew+BvMsoy8fXrc/IaZ7GDewABgtA%20BDHgAtcQDj9hC3NeAzTQBNcgC01AA+HArq+BDdLrDuvQBEXQBZEnveswBQuwAASgQrKJ3acRE44A%20Bb1xWEBTHD5pfwKbR/v4bP6ov+X8AvbwDNbGCJcACwfI/22c8m0Vqt0PCW7zDLIhCsG7JcF7Q94j%20+koioKK7RAgCB70e894fLN9CvQv2nbPkAH76bQIsYCjeFHKBQqTidKQU0DvHui9FyXIux9EezUE1%20V6WdIgfqoHNYLlkVjsSv9NIyAAhKXFwYnJYh/kNKoFUbUAFYrHBAzQuz4AlyajkxXjqA+kA9BA4h%201QD8TS2Bu15xIS2LqVbbkhSAAREUJC5brVNd/bhf3Qo7gAMRxGncgDQdc3JPXiJv1TUGYiBnVBpl%20bJHj9g1PThrWc3Inp7v/og5ulwMSA7xivhzD6AgbsMrSoQ3ecAg7teZszjLKVx7PGxRIEANSIAVo%20XRRCsP/aUtAADWCJK8AMeS0d8KoNV1EO5XAUSbGJnzfIDOAPNPCZMfBd++JmjERD0oENjrAnOyNy%20n04X3oxHRqNDYMF/S5OglsWgqb4R9sAD0fACogAB3DZ4NDCOCjwajlTrGApYDZyRPqSBBaAIMiDe%20XjDvhGNLr7TPUMKi660luoHsL4s5dFo5x8QLBjAJOUqDn2GTIIYN/D070aIAthPDPyggNIxOQ8ik%20aOCkpsDgTJkGTnjuEU491iMOQHfEFQxLvDXBIlDvYIg+XnUr4qAO/O7vmcOCcyC3lFPwpXPwP4GH%20gxoOtkDtcOcwg7uoC7QXcaxkiDipAMFBIAcnAu2BePT/I8IPBw7sfNgAzps4bteu/fPn7x82cexc%20mev2T+RIkdg2YsOWUeVKlixJahTZrxvMmf/EdbzoL6Q2N4RYMAEQ1IxQogCGAphBgUKGYMEGZFGH%20TaZGlL8GXsV6NQ2ehhEiOAjw71pFdOgqXvO3IoY/AQsslPFnwZ+4BSsssikhhQ1JjCr7ZQznbm6t%20BcxiYEArTgARDAtcjVz372/LjCHdGMrBBKgVKw9aKACgwIxoMx06PBkzZmmwHOq49UM5jpu2DSTu%20oHnBIc3uFy9ApAFhjwejTKLUNFQYQU45vs2dN/eXLVs/jBgfR36e/bk3byL9XcQGboM3bj1SiBAh%20Q5EM/y8yCrwvIKKAjCsFpmmRgEKSJBQpCKUjh5yx/ilnhzYSQBDBPBJUcI5IDEhEBx2MMMIDI0I5%20AiWTeuhhhBFYeeCBDoZqoYWg1ggqtNIeQG0Mplhjhx1/qDuHI3FIMOWSTEIIwRRTGnnhlhA4sKcR%20MUJYIjmvHJBDHRi46aYbbbQZh4sq0Cvgivrgm08GQNyLD4X89FsBiGu485AddcCpYI45FkxmQQYT%208MQATJJBkEI9DViHm4y8AUesG1h4AIASOROtKBPX6AAfpZoKBoGLuDPpuzAguOMFHngALg17BCpI%20IBAQUsiBr+zYIaKJxsqJqmvYacCVb2CSrKSNTtIuV//JvpErppF0sgmnf6L0Zxt1HGHBGCuOYtao%20opJ61ClHBEmppqrSyCpbgbbq6isIxBqrrLH8EUKAGGgQYAU2mEECiVpoqMscF1wgooS/euXLJIv8%204aaBJorAZoEitkBiiwXMpYKGv6qjzjmd/LksRCZQfICzFoYazYzSTnNxtRzcmBSbccahzTbcdPut%20t91AgCUTRsQA4TivvKJBCV11jW666vy57uabuRMJrY3AQYc88+QDpIAvvSiAaRnkoy8+LfSjmhNC%202EFHCW5mG+GCAxOMk0E350jGgGd08SBtC0PZAR1ytPGHjg5NAFHEjJ21AsXRADCtRaYmyAEGdq6B%20+x3/jv4h4ZlbMrmjR1Oc2BGN3RoxhcfkCmmoAnDYgbKb2Oi4Mr0r3JMPPi/hwwI/FPTLBQh/uJvp%20GnHUsSGSOeZM4E0E2zBgFDzz0JNCAyqalWh/2Bl0xENHTBTjExt10alI0aL0u34uvSOTTZcAAatQ%20D3rEK4Yc2gEHdNRhJ56KYJoxRgxcaXgkDedPiTL7ff1Hm22y2SIb/GWaSYwG95eZaAMGPfhJs5y1%20wKMkJRiPekpU/DGCjMDmENrSFrdM9ZUAfGdrZdlaP+AhiyQIIAkEkEUJ2ECAWgigCNvQRgliUAsG%20/GMbw/KOX/wRDotcgw0LIAINmuCCKSygDDU4RAmY/6GwfixsMveLWGYU0IIQlUgopOlbaijQlNaE%20TDYlA8HJdpMGle1GODy4BQi65YAfpKIcTYQjHH3mHelQRyM8+wd25pgdoGEEPEQz2nlEAIj2eCFp%20TIvPe7aEH/7wxz8AEhA3CGQgBuUBTwrKnZvMpoO0VehCGULJPzjkIVYwQURBmYGJThQU0XSARanJ%20wBZzkA4ZUWcb2KAljizxAh75CEhCIpIpjhQCJTlADU16UpRQwg3QwYcSYIJaew5ZACxIYEySKNOZ%20vJER2YGjdrebUx7AOQkDEON3wTOCAbZxjb8ACiO2IJShWmCFDigANEFRZWnW4KgtNkVS/6CUH7Gn%20Kf9O/eZTBBnIqBLylVOlChzgoEhF+NIRDJijOSbBqIb2yJd+6K8B/uMLsG4yOIzs5FgsYMEaFOi8%20BUKrnwOYVrWoUxUMZotbC/EWuLghLkkOKxuVygjcupENAnRjVrCp4HP05Q6LhEMIJVjBDbDBhiJc%20g6lIOAEo8JedjPwDBoZ4ABNYUKKKWWFR9tRYFikQvS6ehBvj8EdtQnCL3HSqjLvZFCPUyEaGyoFW%20G31JHXfWM8A6p49CC49EmHme+XhhPYZsWiKjVgAx6Yc/xbhagCQ6AkomKA9yktPt5gCBNqBNbRfa%20gTdCKTcPgfWUhkpR3owCmixGjzUwEAc7/2E4GPj/gwSPWFzjfAS5EEjOl5abWebAAYNxdGMERRtH%20M+ezpUQ27XTvSZ01WQeEcNADHXSQWzeU8E3c6UIXCCInJM4ZPAPw8C/goMd3SsEC5c2Tec67J6Mc%20lYEX/TOgaMGe9njAPe8ZhFQLaYgdwhARcLxKot7ph/sIkJFtaEQbJ6Gf/e43LJVICQMgvXBlZtKR%20wekkJNuAgU9ysNKiNFApq4lgSmY1o2tYpaZY0eCSwsIqEF4DhiJ5DA79oY0Jq6QMaNmCSCzQsJX8%20hVXX2AJavrMFC1zDAkK4BjbO4Z0L25EyUfpHxDQzzyrmE4sciyUX3bAObShBZONYR21uU1fevGCM%20/2nYlG9kNjM5wK2wgdXZHQn7Z5L08TtDUywdBElI9iDyPVhapAQa2R9CwOALX7AAECzwgQskQk4J%20CFuDxmYAUUjIkx4IBSq+UI9tbIMLpzAB3UKk0gUCwAoAQFErX9kxwBEiCPvbBgHeAQMY4OgS9ujl%20j4I0pDQYCUlKwpwc3OCGUozABF3oQg8GUYVpzIcSSauuNCNbzWvmggEW+AI9uECHUihhvLbD3TDO%20mwBrGGAWYaOQNYSnhHBouguggMc1BlWoQ936noayQiv3Ga0MIMAd5rh0Nrah6YFuqlMHDRUHFFqq%20r7RiE2EIwzuo7Q4gmMPkBCBAEMqAgaKagwDmUP/C/t4xc5q/Qzo3x3nOpQMP6RAAHvBodSpcsQ2X%20+zwb8DCBPIKwdCFkYwTw+EY23JAFFuTg1gxsMSpf3BSYqqMLRIeHObLRhQveWCtc2aADIKANIACh%20HSB3+zY+0o1twMMVQ3fFTGRhjmBbgAGCEcJHxI7zemBbCIevcpS3gGUhlOHIjg82ygmwDgLo/OYm%20N4c8QJSZNVCxYmc9c4tWEwg3NL0LSmjHILYRht8GCWVktPNu7rCpTMTMVMmhgc0l3uptrOOGc8yZ%20Ha2TR+1cgwBNtUiVr2Emi2AZI+pwEgCjBApCcKETrzgkIQnp2EKKQEvZtWx/esCOD3yg7ZvuNDj/%20E2DJOc1BF6OYRe88wMm17aAL2Yh1rJfuWuaVSAG31hva4pjoAZylcwcC2AZZOD0l+C0dsQR7AA4n%20CJLaAwHKQa4lcYAKEARCKAUTIIAueIdBgINOEAEs0JLqeo/2WA/7EAHVQYEhyIVBcLkPIAAh0DQT%20uAf1E6fcmZP4m4Q3QScIUIJuODdQeAexYwD6MoOC0xj8ep79ghQEOLwP6ILKO7wA257uuYrvQQjx%20aQhV2IR6AIJBGARQgIgwKIN2GAcgkAVEgINB4BAyHAQ6mEM6HIR2aAcg4AIuMIERcAVQMIEPMAE9%205AIEdIM/OIIPuDRl+IAdOAIogAITSMQdaMQd/7iAHdiEUwCvMgAFUAACBoi1lLonFmupWEqzpyg9%20c2AAnqPCCkCogoDFV3zFHOMgcxCCQRCC8isFIWAAIcA8lEM6E3AFDCAHV+iCL5C8ZHw5k2MAcyi5%20GayH8hPED0CFeViFVeiBUnAFJQhEE5AOITiFUjiFcSwFW1g6UDC5bMgCKMgMEeGMhAMN0Qi9jgkG%20wCk9ouqCQQACIWC9ahCjOuuNJVgCDngBlxmfhshAbJA86Wg1PbqZ4Bss4ssOi5gHGkiCKLOABiAC%20IsCyHtIIb4iKkjIBeKA+RQOEk4wsQ/ICp/EC77uCFtQuR/oPchiBASEHAxEtS/o0BJkDTNCB+P+j%20v05SgwxxrighB2+IGLsxlHsCQBVxJb/hIsGZkd3CBiUghwN4BAeEQBCQwN4YFWcjppmJNieZB+dy%20s9TjNu8jndJhGkJSmgI4g/yQAC2QhNYJB3fzhmv4BnayAfXLpPaDBAMghfU7LSNYBBPoBh6qHhj4%20hAdYwnlaloNzFn3ipyhkJ6KBo2v4AExpBIsLDmxBKFE5MFNxAFXYgX64hh4YB3TYgA8QhOUbhNf4%20ADBIAjAAgyqwzdrEzdq0zdusglQYAW94ByUYgW4gxI5yhCBQggvQAwFYhEWAgEUogRLQg+d8Tggw%20AAiAgADgBNUMB3GxAGtTwqzDOqR4sS16Chj/QIvi7Iaj/IVYhE9ZLIibKpVvGYud2oCtkbJhIZZu%206AclQIRyOMpt6qoC5c8o+QZewYa38ZBYK85rOIVVGJlsiBJl4peRUc14ILZ0kIgo0QZH+IN2/Dyz%20msx5VA2m+Bg2I4c3Ewe5oqvX642AXAIJzIQXOMjMIYcm+quNgkhBk8jnsAgMEAAqKAK/iwEiEAAB%202IKK4IZZAUmTcC6fAwUYMMnts1KVbEmXhElJu6weEIcAsYh/uMmv8Szc8cn424X56yS2qZ8KxQZC%204D+MSRRcmy2+GcAXaQ0ZEYkawYYvwEqt3I2u9A0Q+JEL/IoM3JzOWSY6IEEveKb4KB3rAjdq/xKT%20/KjLQfAHqcCGfemHvkwQ3fHLBCAGCMGEPLAQC0kndEDNa5AIjGDM+kIUjTEKVcK1RoGx6QEo1RIL%20f8DCAfuNLTSwhRof09zUkQGUiBgHDukBIaCBXMiFqUGBZ41WFJiaXJjW1amEbugIJSiHxJQbE6gH%20HDABEpgFYPAAc/XJNvCEUWDXUdABYACGfDuBhyGaa2gH55oYUlSgGTBFrssCkOmHGXNP+SRYWKRF%20sBALsjCLLAulnZkJJWC5W6Kf+bmVl1BW1TwLf1gHNmCD4vSQrnqJWTnQcqCgjYDTnyiropDHtBpA%20j1EH8MCGt+qH2ggjOoO9ghRIgqzRG42ACv8wCUKjo0AbPodsjmuYh5WTgiJggBOQAgsQohvwh3m4%20CICKinUwh1jrBidRtCg4SRFgmpWELEISnfuIyf6Ihy9Vgn0ZU578rEv6VJ9MBAMwrTXdgXPQCfbs%20h68KkRFZSltrSl3zGwoAHHZQTxrREKwkDt2IwBj9yiNJkuRiEidR1JgFHfkYnXBjGkVoS7is1BfM%20hXaYEanYoWsgB09tEB4EmzwwAGgo1QpB1UUYgX7gIXUgUHb4hBl4TM7YmwUCDf2KlunpB29AhxlB%20zc28g87kAYMCzYzbOIYqzU0wmnEQXnAIAwxNgSkgAmfVAmfVXmeNVu9dnSGohBEQBxjg1tj/HaUv%202IEDGIZRMNdRmD9MIKd2hV/4pRAHmNcoQYcGawdrYwJh0JuiKE+XQs8sUE9/+Aaj9Ib3LFiCPVj7%20/CCz4AYN6Sj/VAltYANZ0IaJxaj8iZ+RkBu5wVi0yAY2yDvnoiCQHQkmM7GZyFQQbcc1uDUTYZZ5%207Ne2ig2SkTMxSpkYFUh7KEgbRQ4cBdqgFT48ItqQYiq6mFeougYMaAI2+I47Asl0gAcgQEx/cBIu%20SAHsw9LtW0mvtVzKsqb9QIFiGIcvFRC0GNNQxZ080IFRTVP6Q636eRhs0Fu7EY3PWKW9qS08lcqN%20gA1s2IADWAJGgIUHDFTGrcDKCcsIwBxE/2Uu5/IGcmCmaRCd9wAELFnJ05GPV5BL1hmEfljRTbWI%20cjBdngzVz7I3n/Qk4XlZtKBdV/0EWI3MowCNofDd1cDV/+JVTBEwEFgC0ASVYPXC0tyBYpVe4UWH%20HlA0ZyUCH5BmLZDmaqbmadaCqZGAbI0HQgiQIdOII7gAA4BXTqI/Cak3czXnwqwDaxuBDcjPcfgH%20c/AFYdDXZ1GKF0lPdnLhgY3PfyaIg90xha0IiVCtn6UxbtiCBpDa+9wabriJiOaOc6Bdb6hQsUjW%20cYiHMkCEekCJbkaLKPGQkSbp/pyJy2jHDiDRo5gtlhU9FH3Zk5CNmSWBmlXcm82EnA3iG/9NyCLG%20CMHy0SR+CbQQAmYoAnHIi39AAipogHUQjI9Uh3RoYS2m0k44yU0GW5VkD3CrD/zg0v5IYzCVpLXl%20QfYTG0zQhV2AELWxkELYAXHosEzNY77lY1ujU8CFpagssX/gU2w4gDtwwJUR1FERJkM1JmRSVLMA%20nWnQkqQZJPnoZA1IpDOoVC2AwXYgZaSyiE71S3HyyzeJv2TgpFc2gB7oIdrVCHGoZTPoA8ic06HI%20L1vtp4abFF21FGDelN/wlGIWzYUiTVVQBgExVuH1hkFIgTPQAgGogmpm7ubW5tWRgFrohnhghz7t%20BngQCRswAH2bv3M2NQhh16Ac7XbuQ3j/fqti8YWrU6ABPk9pUc9/SGB/cE+ABmj6zCmL2Cl0GAtA%20OeiRQAtuAIIGcAcmfTLZEQeOwAbuSAfYAbNryGhCyOBBjpGpFWmStvDihI1DRNlbM4OEOxG02hjU%20uGHX2OCYhSsXrasellEg3lmEJOIi7tGh1Y4Jg7IVmIJvAANmcAUXiAGmWgcqDkkTgxgY4OKTzGqw%201VwsyFItsaavLoYeqMq09RMl2IQ2cOM54QW0noU2cN22Ti3UBKC8jdNZHQrZ8uM7jUr1vLB3CF50%20wMrFUeQ06EoKLNRHjmTN4RxlUuwr0ZJBio+s1tyniY8mF2XSxQa4ca9U9uzyCsxhoGPh/xGciqAH%20dZiJV83dhOsDEq1T3+Uvf3qNomkidrqUZxAwAgNWIjmwYd0BS1bNo0QJPpgGH5iGKriS93CPlWya%200tGEqZka8fUHje7TjiIHE+gdHeCFz9KFZDCvONEBewMGtGbrc23n4lywZPWHIKjne26prXMKA74I%20uWjPBW7gfxZo1IzgrXkoXXVwIMDQceAEOFTWZFVN2WiHMEUJ1XLnESgHWoIBb7iAC5DGshAEQdiA%20MPiCMFBERcxLZ97DjMCGQ9SMDkCRzzARDjfRfuqi4H2zODMZm43RnB7IGP2BG70HqYgjldijGEdi%207RgcdGkCKcAABpChGYLra5AHqK6W4v+kakYFBK5dSUJShECXbPQYnc51pHFgBzBl487CHQbhBV3A%20BAgx105y6+6Y4kz1hjGvazp1yl2LJcChJaHhU3L4LTjfysGuQMctJiZZrsS+ZMaWAQ1gGq8tJEXo%202gLQhM697Gt4o5TY7FQWrXDihbglhglhr3YYnGtYE5Gw3RFp7VhNkSny8A7Ih9/1L9u+hgATg+TV%20bd7WuNH8CjBc+HFACXLwBz64kiqghCroEhlwfde39QLwAe2y7Cnwh3g4hQTP1AKBEB2Ael3IA/M6%20r2TYBaCUt7Sh4zrow3fegJG5hneo51EkTxfbOph6bxcuhwWmbwdGuyWxz3DRb25Id33/GUNOMH84%20cIEUaADzZ39OQAJOwIAbKAW40RBvKGlsINwvkIMDsAGAqCPQWAWCdSoITIghSA86XLj484fNzZ8c%20TB6sAdBCI4CMZhSYMdOhw5MxYyhkCJbDTURs2MZx07aBRAg0LzikAZHmBc8XS5bYe5HpxQ8HRo1W%206PZvKdOmTp8y9ZctW79//qy6+rcOatRzrtg0YMPAQjZXrrYxxWbVmzq1/rrBBQeDTopXgLzgzetF%20Q15AWK5ckSABhaTCxXqII0fu2jV/5Ta1SSB5MmXJefIkg2TAiIfORkLt8OaP2zWm3gw9eNDhI2sA%20VjwqADCy5JiUKtWx81d1m0twB5Yw/4JlyV6aNE56ggDRyFSIED8iRCiEFBw7bnC9eePWo0oBSl5E%203C2QV1FeEeYFCx6Sa9A1ci4ZX8NmY87kPPTpU56jywAkYJ6NGGEAIfFw84864CylziczmNFCC1ZY%200UcLZgBAYYWyrYFPbcEMEAwCpWGnVmNhQHBHJjzwkBwHK67oxIr2gPAIdEU5oMoOi8HkUlV8TFOA%20DFdwV4CPQ8ogpJBnDIaCYJV0M0483riEnQkGYFKZlcQYMEokCejQmQcAyjFCRBuAA5M26sRihYVr%20AnChmzNQgFIwHGYBQ2PfvEWON79w4KKffQL6pxNp4GEUdA4E8M81pKGDDmnvYHNNO//auZCLpZae%20kcSlWlyaSwy5SIFEY29FxAUd/XxBTqM2LGIAMMCMMooR/nXpQZddAljIESaYMAJc/6SjjiEsqNam%20gxZWCJJIJJlEwZw5qFOaS2bOdIdNOBXXUyY/cSAUUUc5EEEFanFV7lNSUWUVVlqZqxY22mjzTT/9%20+PONBVX9g01E/7DlFlzdyEWXXRoAwlcUekVh3l9XaCFYYZIclg45SjDmDzk7RGZlZcnkwcssm3H2%20ZShHgDNaaUthg5pqFLYQm2sdAQDSbCalNEEO7OS2m0vYHHDHJZkMl9NxPCXXiBjNPXeoA6lsAIN1%203WCnXRUiXCGDF3eJgJciW3tRgAj/BWii5GDqsedepIz1M99kydy3sS6zzPIfgAZYQKA/By6Vzier%20SfiaAi5rZEVsa3SAT5xzeggilFZdQ+IdL6AIAlBptMhico88F26Nm3hzTY7YePMPjzLIQEmPRRJp%20ZAFV+DCY60w6CSXo5HxgwJYJ4FfZHFgOM8cct3JmTQVKdOPPBhuYiY4vFLJ5YfNwxunsAHWW9k3x%20ev4iaKDbu0houJlDoOiijS6KzTmMwUFEp5dW4SmnnaIghRScfFOaUv7QQcc1qX5RRyuqbAZWr3qV%20B0ahAx2MooBf0tURRuArpZxDHX+4yGo0spE2reFvIZlZBjaUA3o0xiXcGEc/qnWt/5zspCc/CcpQ%20aESjCpDDXDKMylSqchV/ZGUr5eqHS5pylX/gC3Q27JdV/iUXLtTlLghTBF/ygoUfNUwLDztMYhbT%20mMdkTGOUwQwxIGANL3lgZOBYVIFQprIKNkgBVoDZR2TDrNo4C1o5+wdvsLGBAzziFpngAHGMgxwQ%20mKIRSIOOdBxQAeo8LWp04M4VrpY1rW2Nid8pABbQgwKytec9jPmHDRKQDMv4zkpzwMTH/POlWRng%20FITgBjbwZqBPmEFCD4rQhNxEIcIZTk6J49fiRlSiE/EgJyyqHB9j9Bwa2ahzMMHOjoQEGNSpDpoF%20mMYZJIECsTGJG6yMFDvI8QUqSf8mlAm4TDh5YYA20AcYnAGQNeRwFWyAo0zcGMEXYrGG5uGzTdBz%20Fp3sVK887Yl7AvWT98IVAUQpilHoICM3BpECflwzF1qYKKeoiQIt+MAHWkBBLgiDghqgrXj+6MEp%20RnCECxigEAGaxAExgQlbHTCmtTKCNQqxA3SogxA9KN46BAEFCjbIQRuBjRky8gDaOMtm0crXS2Ji%20wpsUJ4VC4Za3aHSUcc1whuiy4bp0yBVvnGNe9GJKP76RL6aqhYhvictcksgXg+2FPHwRwRMZ5jDD%209EBiFGvMxbKoxTyMMxlYsgaAOiNGcWjzhylLTQVb1qY1ZkRmb6xZDtIxxzry7BH/jNhjcUAwtBcU%207WhLSNqhUiGIdCSyc4ssQCPv4lovRBIvCrMkJncGn7TlDne6rU8yMKGZL50yQOYgxDgMhCBgIYBB%20LeiD3wC3EQsV7nDByMCHeOmWxpUIcikCCotctKLLZe6gquCc57gBpR1N40dXmKbq2jsN1lkTm93Q%205nvY4Y3a3S53mMFdHjBxTt+p85TWMMYP4wmTEaAjFhW0ZZueFz3pOcJO/7CexfakvQsDqqCHCh9j%20uEE+bbajUhw9A0Zz4QOJTmMaEs2oRAkjiQWkQFH/EClJlWADAxDWAQZgKSb6K9OYeommDjjCBtKh%2007e8ww2GyMHKFOAgDCZrgx3Y/0ezUrISaWFjhCWkyQl10hOfAKWq4DJkDLNqrq2qC4fsKtfO9rUU%20680LrWtpSxHZisSBxVUDW9MzXvwCxbtCDDGKqRgWtejJyvACAioN2cjQIY5xjGNUi21ya9gYm5lt%206DaXdckd8wi0Pn62aMxxDiGnU53rqLYKpMuaEmEbybmeBz1k44bZ4COf3M3BPqL0ravWicpTnIIb%20/hBEyf4Bg73Jcg20dF6bOhLdDNimuiFSlD8cB0wUDtO7MJJRBJC5g0jBBB3g0BccpgEIILVXBoAg%203ZCm4QNrvq4bFfvHCLGhBHAaepQfS2fIwCQmf4j7wF9gwj0bbHAGAwB6tpmeP//x1A3sDXSgGj5o%20ohZ1jQ/ThR9noCYWFGYeTUyDEmd4hQhesdFrWhMJpMlXP7yxAXIcwRMGHEUiXKWDy+ThgDjP+Uxr%20ugMl+APSPPVpamIm1MFFmXDMilMGlIplapHAWlDNFk+2tYRutXDM9yCXmbmC5hvmsF09JGtTdqYv%20ftF5rQBrK57hGoU93wULrNUHoCM2sYr11dCWWZsBQgEg/4xsA4+OdEvOyLLYQAhmkqVNBihgM8vq%20ho4765ke+VicUAPyaKRWmhzkImyodW4QVbgCeK42nld/RwSaoG0u6LDNs10Dt2vbrWQ+mWtzJsLX%20HjAAA4J9t2IrKCRCtULLnFv/oQ6sIR/S3eW0/YHdx0WOu8TkAHgPKl5lLEab4MCOEsrNWmkKSd0F%20AISRkHTNJcm7MfQeBzbCYABeTCa34ZxDGwwA4CBbgwa+8sf2D5zgBefTmzxYP1XP9VhYxGmP93Tb%20QXHY+KBD0PVAJ/DDe02DCBQJ6ryX6cjA1Lwbyi0AEhAeD3mDuMVcJGDCKMDNLugCOemCLrANZuSc%20Z1jDkCnBS4xD8ZyDkjGWkzkI0rHGsiCVlYGQRGQZCT0VTniZCoVZ1jnACylF13ldDaVZ2LFZD6lF%20PzyhVexM6PiDWhkRDNzZXWjAGDIRnzmRF1xB60jAFAmaFTkGZOjdJ32SZCyC/995iRixA6SVhm4Y%20XoU4lqW5EeM9C25EXh11WnAMh04MTSYkRyANUqkd0qmBXkONnnnoRSTJ1SRVkqyth3lpUml00hwC%20ljjF3xwMwzn9BzDMArAJG7FdRfD1gYQom4Qki5vgkpx0iLT1UrX9EopgW3e9iDF1m1HYCLh52PZ1%20X3oByTTghQwoAiA8o7qhjg8oiXyNCgSKgzcYwDDUHmAF1vzhgu3MAYDMVB040Ai4x4EpgT0FoINJ%20F8PdCUDxCYZd2MQhlMU1CgSmQIr5COn445BQgqqtV+tYkxSggMrFh7htwCkEQQliQjIYwCzswhyW%204ijF4CnpigP9iz+kwwZAQf/R8eCTERUQVpnTMRXUSR22SJXVYd23gAtWQSFUfF1Xid27jNWMLYU/%20aMPOLIUXspXAFMxbMZEk8YVfUI0PDMEa4pVe4R3GGNoneaNkGIAq/F0YEdng7aE/9OEfQlbMkOSG%202AzOFOLkaVYmoEFUYZ7RhMBoQcdBOYAcqANqvYU3LIboUQIWEIzpudqeZY3qsd4gvN5tqU046Rpl%202B4mtEEbAMjfGcAgnEJxHcgrJldQvcYf2hLy5RLi6OJ1OY52SY49AON3CaPm2MgYad/21cMgmBsl%20yIAFeoHVOKO6rZuQtI7YSACTOF9EjANiuB/8jdPaeKN9TML7zQFhzZQc9Mr/wzUVOtoTwjHPwe0T%20hEkYhWEPPQqUPTaghz3gONCFCCjjuoHnuYlAQFqgCDTMNcVPCsSDRIgbOADbBUBCJESCxxDDLtRe%20/OEOx+CfriSnP4jJRCzZA3zE0VmalJVE48XREIqQEXIZVCUhT6yQmDUhUpRZTDrFTKqZV3GFu1jh%20WblLvjCGN4zbP8BEY4ADOrRDCqjAW40hGWqAChDla24iG1YRocGh3uXHLCSCKXmATYnDNTgQafQD%20OBgeSNTSa9QipjWeSsAAO8TeP4SVHeGRUBSTHxGNcoxa0hRSJH7exIRDBBYAGUaBBkQBILzd270V%20XaGHBGASlHROxQxmONGe/yddRiTAzWLOTVvwEN74w7F1wPBlUGwcHgZFly5tJrVZmy/qRLYFI7fR%20SCsowwN1oTrgBhzwQ+l8TauNx9WQX22KTQmIlNCBHr6t4OxNxi7wByYE2CnJgRHJE9TEgnMenIUo%203JzAIxZGBMRZp6DYY8Up1KJk3Lqxm5GsWncIibulxzVxQoliRzxdjCdEwhwsAQRoDEVyiQ7gqa5A%20yahAjSOgxmo0yMFF2VfKCbQ8HTdsGQicENVN1dVJqKHAZFREXtdhKBVuqIfi64eKyDWIqFqMUGOg%20gzdYQArsQRnuhZ61qCRhARZ4Ad0pZaAlBsWEQz/kHY5SRiIkUMgUwgdES/+Q0hqRMtagQplXdsBR%200Uww2EyTXoM2/AOkuATl7RGo/ZFabt5BqQFcOk2eKEE/9ABrmumZesHBlKkiqMBe+KVgXFLrxQeU%20OF/sxSnbzCkM8lpwGcEidAM2yAs9gIO8HZtytYCyfQTgcMQt8hN1xd4I6kY/PJ9nSh+giCbmWJ8D%20QCo8wEU/UKo6xIOl/gj5dY1eaI3VFEAHogcR4EnQ3SDUCML7AVYe6EJ9UMYuwM1LgZE1mCNcBNw4%20IBg7zurmJtwADkCEFYgFvIUSBNSuBkpBgU9Caafn9IALmJs0ds34yaaxTtN5WpMkcMI8RJqehMgO%20QOsciAK1ts3eTYYuAFf/rhwB0zZGt35rB/xN4LjMD3JQubpB7E3LOMhE1HWZVIEZC7nkVZVZRIgV%20vphZva6ZhT5FiI7oCOnkCKboimoAXrZowr4VXqIHjQ4aXzmlxU6Gf4RMj37AjwZp7IHsykSZa8BG%20IJ4sk4rDvpwDp+GRHiWilYIWIAnS5m0pIuXJYrRDJ4hH0I5pwRQMmsrWJqbHevCrJulGnI6T/GFG%20rkHCLLzKYhpAW+AJmTifnwLq8z4nhWAmSkSb4ogIL5qIolJOaG7bMRmFHXwAXEQEW6gDN1jq6Mkd%20IITHJVpx4LqOkvADjd1gOYAOvnGMFr3NLCRQkBlBmHTDCBiYdSRYwcmq/wDqEjySysOVLgKebqEY%201D3+qnZIoBWT37HOpjMFyXkOBu6WKOhgxzXE3BxEggGYQtRaax4EFzBoa6SsFTg4wh8US4MQ34WA%20hLJgGj9BC7pOi1ORgLpO3UpSFU/8gFWJC9ehb05KIdid7ywzhfr6a6Rpw4leQwqQAfzOb8IWrQaI%20gAbcr2HEQ43qr19ZbK3cYRikA5COwKIM6Va6TFfKjMnCkUqkw49exQO/7CP8jCWg5cyKFmkZBc6O%20g38qRj+sFpmOKZnK89utaMetHicCppvCRznEqa7lltR6jDot5iKAcVWoAxeyAwLck4M0l8s8yOAU%20qmYKMeN0ZvSB5vRVn//m2IEy/Ms/gENcioOlAoYGfLDfwtZdyEBtJuUQEAGu9kA8rLE3JG4kLG5U%20btEw8M7/0lQduCpMdEOChQTnuuPhwOOM5eoBmm73FMoCOkB25uNudkIFzmbshidrrZd5np8kSEEK%20JDJ2wAA2xBwmPDIe4If8TcZMIa83qG1EjIA3eGuTNZuxjCsHedAGhFARbllKotCXRSgTgi8u01C6%202LKGCrYukyhpdKGjqOgYyu8wEy1e4kXDPGwxjEPELorF3Cj/JgCPdoZNTbPHYgM6FGkadWUbKemz%20qCzLvgMPdVo5wwgFi9ojuiWXbvA1LBJdjeE8ByXCegHDmjCbojDowJ7/P+fW8NaH7/DCMATY3Izb%20DbO1P8QDLAFqa7AJLm1ILqJrwM5L7CVqMC0qEsfIjBBjGDyQ3cZlOJC01XDqSfeFFdcmepQAqcTD%204WIHvhHvFvEC7oERmPwLmfQA5tYTHLejPjXewlGPf8ojHvOqHh9KAKitNpEPTEjg7HYNePAtIZun%2060jCEHBCD7RDe2AHgcTcKGjGLhRmN27R8RrBJS8v/wnCtwof8VlIKBvoSZTrUkEJpG3DTDzCurKy%20uwJ2uIxLRBi5kUOh+Ro2LiP2v/LfQjX2MM8v0cav/dZdGzalM+MoNH82KHSOaJ9GyGpENiueSHBz%2044VlA+sMXZIAOQPN/zlfqSloHmlJB8526WIsEhbA6Dy36DzD79GesP4Qd9PKXjeSYjJwjH1gArb6%20mtWSSzxZxUKvwQw4dKBCtJt0gPLxE/MtjvNd9HZltNtS32geVEfvH/+pg9PwwegBwiNpqtaEhxpK%20gmCUAL0YLlxgQ+L6phZxTDLsRyIA15e00wNdblA3Zz4VtfRQz4zRS8tlD4NnmIMzoPhoJwROtRWT%20TuqNXxazltcYMlcXwzyQhiLjTImnoLV+Y1ozOoCMjEvkZrdysoD+zUYIToOJ8hvlOJZp2UyEwAvc%20AhJy71+75AtVKC4ruWA3RZO3cy+jQzh0Avw+9ou+aGTHLzLXHSFIjP8bVixnn7GXbGxojwCktVIf%20VloCpzYDPymkKAE64NHPVOkiNuIFq7Mhpfo8rLES1GUVYMEblOFu0zNRArpwA2bAvsM13Euhz5/G%20+M5FnpIBoENZGU/JXIMOV3ofCCqz/TC0zQkCbDdbq20/fPcvElMSD6MD2IF5122qw4AFcEIl9hlK%20pzR8u45gdDFc6FQ5vLU2Vkl9NK5l9HoCnBOPAog5OhCAW4c3xGqBv8mB22oWVO8/2fE8QvugSDui%20RPjqQtq1Q2NebPtJo5shE8ayjvuIA0HMoSokjJMu5M4Yp3Uqaqs2MMYaa/K3xowaPZdX3vuBooTN%20uME6aEM6Mqgqq6T/tlDVkBuSvrgZ+h48wi+Fwq8sOnwBEBCsMA+zMC+sF1B2YQxBCpwCDHzABwAB%20EFjAB1xAInC2ZHh2j25CEAgBr5RCKXQBKGCza2izmQtiMAQCIQSBO2QDQJhzpYSeEhKPLmXiYC9N%20GicvIIIA0UhMiCU/ImR04ECOI0Kl4Jn48MXCoGlY3iiKokHDSpYsVWjA4kWTBJsShuSCA6RLFwLr%20gFggZ2NOAqN5ihY1miBPgqJ5dBjxINWIASDbhFgABcqcuSAsOsxo0cLKGgUKAJgBsHbtmg74KFAI%20FiwDAiHZunzIRkCIkDAQ7rzgwQPEEnscEDtBzEHiI4wOIjho9evD/4iuQTDHS1HlCqCZXgB5ET1a%20kSJABXxIkGRzSAlt8OCdKlXvwzpQBiI1PZpsaZ5kvufMmgVM6lQjNEyEBBVmUDsTYWLNSLtW7fTq%201WfEzSB3QBZCWRmEzFvBnmLzHM6nT4Nn42MI5oAIAfLhg5BBdDpNA7RfkRcRIvbbrwARrqhCBC0k%20QEG1JlKgA4h5evqCkFNs8MQaA5JJRhfdjvJtKV2MM8KIQo74Iht3ujJBniwMeeABBcxAa60WqIPR%20jA46eGKMMSjIYIIc3Lirp+ay+eKgF25hCIQ0IIJoCcNeyOSFHzaqsgJysskyy224/MfLL8EM8x9/%20suxnzDFd+WcdMf/D7Mcffyzw0h8zCfgHlS+vuQYcdNDph5txrhkhjA+A6IQMRbCQSYOYGPUiJkVv%20kkSSIYohxB36gAjqgwsSWcrTTz0dxYNRRw1lhyAIMMGEUkohAJQWH+ggRjNakHGNtNDCUccxMgjm%20R8zuysaVet754gCEFLJnyYcimsiUEELAKIJCNqpAkI/MMYGAD9oxKdGXWHrlJUVU8AILLGq6Kaed%20ugCFAHcYsECJe5Riao56Pb0XKlJFNAAdbeJ1BZRshCAErLHIMktGtFpQyy24ep3LLgLaJYBgvwDL%20ZDCJ0lgMPcSUfSQjKiXbRFUTvAKFkEEaqEIGQPoLbTTSANEAkNT/FLSJn27gqWeVUj4wgZ4wDMDE%200zx0MYo335Bqw4DijKvj5K0G6aGeL2S9jrqtpwNghu22C6a7IOEJb9t3Kvg4PbXVXm8jjQKQDwig%20PyCg6k4AhHnmAEcTgZIDE1xNkgaFcMfVLnpA5Yg2nDZKl6R7420pHaIyjkQT3QECZVCygCJWtRom%20ay0YbdSVV7mCCcSRuwioZ5BBCMCBhGpueYGDhpiEKJMnOYhyyio3ugcbLbXcJhs2kR+zzDP9SXPN%205P/pxswvzSnihBJS8ecfAvzJ0xtwsPnnTwuyCeOLcFI4NKZEH32UpUSxQFA1SVPoAYZyRriGm3/I%202aENUAG4FFGR/8oDpmJHoEYwjnFgQx2wkhUAarUWKwDgVjDqwAN2FbYcwEAc1zDTO7ChBHIcJCEL%20aQizXiARikBLWpHhiDpgMA9/jEAJX+AGF04CLh2uZH3ouglOcjGIcaBDCd7IkweJki+nfKopc9gX%20vxahhH584x8bAIeb2PEJWY2lLGeBUdco+Ja4zCUYCPAgOfrUj35c4wOAacRg0gAChiRmMY15TGTs%20oAxydOMb34AhDHrAhyu8zAsa8EIUZqaB0pjmZj+UQAmw0Y1uEKIH2hiBNxyBGw5tKHK8mUMiDAAM%20fhlBDiMwpRUVOAJwxIKCXNNa17IzRrF55xr/GIEktQGOX5SHbf9rM4/bIuCef1xjHNzYQJ/GgZ+8%206c0/AZLZNK5QAPlJSgqciEc7rkEOcHiDG4Q4giecxpvHeeo3ngKRiIwADBKRQxse/MYIzuGIFuHo%20LBAcHa7McKMc7ahHwciBOuahDXJ4o5j9MFIIane7JTXpBU+yh+9IRrIKdONN0LOo8rJhJu01T00W%20ld6XviELZkyhFi6IngX8wY1rfC9842jHVb6ADvSRQSZvWNSiGKUIm0JqCEOQFKXiIQ5ykCNP/PNf%20AAOoAwIWcAcHNKUCGehAtdBKLWXBFQBMx6u5bFAc2vvHOfqBDXQc6xIvsISyHNIkiZiiESzMCLUc%20UAFwsIMb/uj/BjbIwQ06VIF9OvTrudLFmiCuFBvYyNOckniUJR5tiU80jgHUocZ/gAMcY4LBJ2jF%20xTXEaEZbe5hWB1DGWnrDG+G7hj/+cgeN8WAJS/KYYhYCAscEcyOqwEE5JOmPdKSDrnBwmSJtVkjh%20FrI0NkuNBJpgkxJQ1B/jiIckseGNoh1Ncp+aAzEMsIviGMEacsgtOsBRzEuy8pXlXcvXesSdLLjh%20tLmN7i96Gd9fsgcykQnAMFXKp38kE2/82dt++jZIFKxGQZLgRDGvEV1v2BIVToOG45KmlDxwiClT%20sdwRSttef4BDEPPkrOjUQrp8ZhV1/6xlYf/Ujw2QAARosB3u/5q0uyX0Tkoks1L4LmpRMmWUec7z%20qJnMZA4MxCAV2/BHnf6xDe+Bbx2vC0cu0XGN9DGqrzi96bk0oC5JFWMeQlXCYfv3P6SCaoCkMiA3%20ntqDqLrogRFsy+huhMEdbedH7GDHnP4BwsIeixHJOqFaJ1KRi2TEhXKAYV3vSlQ6nOQNjILJongo%20ExEEFoiD4EZ0DRuObCbWKUgBVROfSJVFSI+K6riiP7JoBrEk7CxTBYCtOpAPWYq2H95Ax5zW2MY7%20vJEwaZjjxxBjx8jgURlK6MYI+gEDGLBjHHDozCuKa0hpK7K4jVRXCdzU3HFAVxCajFxvjHKvYRgg%20Edsl5S27Yf/FHqD5C7HYbNeqA+/zxgV13YHBab8hyYH+wpfyvR19NQIB/HKDT/3gb96i0B/RBEjh%20Z+BMzlAwBCmkQIErJa2ZjmCA7EL4U9VNgFJDRKLCds+umPRwPWkU4lnpU0cZ0KqJ/1FYBWpjxXdw%20sUJz5yQo1bg91SJHjnW8vI36GHpU9Ee+uyGLBaxgBTRA8jD1ZGugDKKW4J2pTBzt6EXBTxE4mR+l%20xsGOoYL5qGP+VJlL1dRAdUOB4mggm2f1RatyNqsR4yqez1HYDRxgCbfIxFmXBehGPCtab60WOGAw%20jhmK9Ro47Kv7Ht1DffwwJ5YmrWHzVA5ONxFfTDkKyB9779P/mtqyWkRYWfrwRetgdQ0Qi5gZ/3H5%20YaI2YxtbQscWA9uQjay2YcAtRXcbj3HwoQqAUIEibDbtQiqyZoCQ3012RtF49ODY2ADHdJkIuXDP%20IRKzaIMojeNdSVJWvOiIRT5dmX6v0Vu99+4Hc/ftb1+6rb4OuK/+rqHfgwMiCgkfDf9hZiZEoACu%20QH4izsAQTMFM6QgCwACGQWl04ymYyMJEhESuqL26wRuy4A8+h1YAwApo5NVWznS0w5/U4cSwoaBW%20rMVerCFijHcgCngioAJwDOiQZ8c0Ck06Knn4SHumB6VcQQAWQHosoBuWzBuaS6X6gU+k7FDeAAtU%20IAql0NHO/wULIoV+xgEGxm5/wszszm6pDOgajq3tvEGqIEhGJqiC4iyDtsrO8K6w+uEA7qCEGCKt%20msUUKqLwCE0N5GADYADRGG/RviUKrax9ZMKH1CWIuKG0jChP+oHTnKjzJqzTlIoqjGDUPMgfSA/V%20EGANVq2LZKQ6EkaMUKcuRqu0xuQaUmu1lsTX6CjYZOuOHCCPjE16gi+Q9APawGX5pG0lAGHyWOOR%203s8feqAH8Mcbuo0XQIWTluJeMIEYym1UuKsObkmVwosbusH8bsW8XimWxsjeainf/GHf+q3fgEmY%208oTg0GG/lCkK+E/hsAAAEckLzsBvfGAIBkwSJi4BSevYdv9AD2bhAX9D+xZrcqQxnUTOsN4kA+XJ%20RV6ts6yjdPaJR3rln7hBG1BM8VYMoV5soZrEoWIQeK7EBpMHB3tsB5OHisCEAHimBJiBAFRyycLn%20T06LT2YKUVQACnGKEHMSUnDip4qhB9JBCb6srpRgE8TMC40C9NKOrtJMHGDADGlFAdLwqurOVzbo%203rQhz8Jq7x7B7wDPDjNhrdpKD+FKruhKkrwhrwSxECPvyrDguASL6krrHPxB0x4RX5KCiZ4C9Prl%20D79BE0+NEExPs7wIBGUkjCCGjBCAG5bQG9TIg/7iGVartTwG2EIGI0hGFXbA2PIHhuIhHPhABF7h%20+MrFrxT/yRcRJOKUi7l6YNvuSrqM5lPGqTfmABMwgTgOspQkCbzWbQTMD/3kbThjKWLA8R9Qqhvi%20rxx7if7gZo24QR0Nrh37T+EOqf8MqQqv4AxYY1IOTKUGCh1M6QOMIRGUMQHKqdM+jQJHBMMU0q44%20jAM74NUUgCyqQ8RY7nS26gRrLQXHYR1q7uZgTHdgECJ+wMZmMHzeBNckywZNcuhQ8gY36h/goQEE%20QABioAi0R3pkUttqaU+uoRPiQAqhcAqp8Fy0TBK4TOyI6rS6UCmNAu2Y6oDGcBzEoQzh7gwlqJUs%20SM70c4PuzEzyDq9IYAno8M+aZYUGTSNeKB0AkS0ZjVGy/+5Ej2sIKm0RR84ROS0Z9rI3dGNfLHER%208G/DKosTPdEw62l0aORhZg32ZK97VlEMCKMVX5ExYnHYZrHYJKkfgm/4AATaaOolvOANHAX5bEYf%20rBQnWkMMm+u5MrDbcoM2CXIOuDQ3t6u70I38sNH85nM4iZP9xMYN7i163qQcvIHf5I9tnDMyBC4d%209Y86Ey473TFWzeUMrkAE8NGn9lGlrI8cRuA5jGEXeKEp0rMZPYVy0Kk9kZDkGHKeOgDltmYEJ7Kf%20YE7mLnIjBdQjde6heE4kf44k2eRBdfB5SDIVMEAWeMxLZHK/VMof9MtQohAlTDQm3qDREsXrgNJG%20x+60yv8BKWHUKDCBgIzAVLBhQYuxG5RAqkTszehuInvlR9QhSJOssLzhWMASrVBIhQivhQ4vLRPt%20hk6CJ7fuplRgDw4RGOeSsDAvwTjNXgDoXj6OPQ0AfALTit6EMDvg9Dbri1xNMUFLtGIPFU9rFTcG%20BC5T92SL9xyAMw2rmIYqkvhgEA+JJXbqJaLgFUQAZXGCH/ozHgih+rAB+8DNS5tRYM9t/K4RON3N%20vD5VlsDx6OxqOVN1vt7GvvAr/9aRv+IRO1niOlfCXJZPfqx0CDghOuckuhLsmygs3MbWcUJEndwz%20E7sBHBxBPj/MCu5zVm7FR0vsBGMuBa+VBGyuBXNOxmj/7HeqJEHBNVyFblxXVxvc5Ev6oZ1WCnzE%20B1DcNcpSQB80oNF4Ugo1YA9Q4lwQxKcmZUXJ4ctctOxgNGApkGANtgdGgBzMMIKsoCotyGHbUGK3%20obCwQQ79zoTsMIUCza0Mz9D+ELryyvGmkGRLtIfk8kpLa2Xzshk9jYmcYg788hJHABuoCB2WNYtm%20ILNAUUZSTjHb9BQVVBUBQzAIwzBwD7bsdLYgY2mVoZ2cdi3/IWp3qG+rVjUpjx8wzWurjx4M4DwV%20a7E8JNx0c1SsoQ6QTlPVdhvTrxtB9TjFkRzn9mPOkVWhTh3ZsROwQAT41lz6DzsJ1ZCeTxIYxHD9%20gbTy/+SbdMHjOu9YD7I9s7TkGpKeGCZaJXIfeIRa2etzUyxAOzLnGmrnUFeivnV1wURcOYpc3ViN%203mRdESx3+wFeh3deg3ePu/N49bVF/aFfk1IpA3a7oPdNDjZhc3QqGTZXtBdiuVfvLPbvMBbQ2Mp8%20XQgtsfFj2fd3dTIm9iAnsUBrK09lj+gfbAA9GRdmrcuJ8kBmadYfbPYaLitn0dTVqoNNM+D1FHj2%20iJYH4uhoQeZON3MHmpYbnnaDdVImXKJqWeJqfzFRt7Zrv3YEYk5sPY+cKMxseXNy01Yb2daG+2mW%207g1ulfNUd5hu6+/+8uvWDu4VntmIsdNcXiJSfKpw6/8qrIxIHBQXVFyZwmKZKiA3w9xkciv3cxgG%20c+EMRtxiWn2kWkGX5kRXQF2QQGcsJG/MjcMEjomOJOdEG0R6etaVJjdMd/UhCuuVj0f0CVWANXyK%20cNtB7JR3HJlXKf2SqQpWkaWXenPUzbA3P3/UDc2ke/fsERgBFs4qjjK2fJd0Wl4ofT15GlZ6CqGw%20RE1WE+IyGPHxFC4tw7S0Xn6jijlvfxehf/83gDGLgBWGLdjiRlpPlkwxaBc4tRy4MA6jToWtglXh%20golJmTWYg29KXF7CpmIiClTA+biaHy6PhPvXhCOBL7+NhS+1DiQJnMvP3YazZ7Hjhh1hVHP4VJlz%20bVb/1QFaVX9eVYjlGbF7t5COOIlnQnCZmOLq6okbUYqti5yONSrQKSGZ1eQUuosjcsT2qQRzgB5O%20KyNVjARCIFvRGCS71UramKMxKgfjmLrlJDJrt6Xa1dbymAxU4A1eoaqBV3ifMMusNF9Z9LAI+V8T%20wHmpIpGJkfoYWaGp6gO3EZLZUJLxzKi98mKRlHwHT5M7tpPxCmQ1wXenULyjcJTPBVFherDm94iw%20oWW7NF+KohIfa5Zr+bIyi9V41s14mTF/eWhrT5hdK/eKWWRoa2mR+a+XOWrpVQPEZcYdTZ4Fd2vH%20ERscO5tnM7eZoptH6ZtlWJzVj5zrLQvOOTDTGb5G/7ttAM5u8S+1sUCee7d3seCIa+qetSwFDJef%20HXMHPGGFjXWbDdI4CtqwDppyLXehM1cid6VHIBYFi4miR/d2LjpKYDC6g6cGqdujIxTovEp212i7%20b/dDo6wTRrlexdt338Bk46BeUfQnJ4Xi0iF5ya6QvRC+p0K+i3F6qzcxb0UEr9KfiHpi9+wOwrcO%20mxoPNZla0NfA15eqFTy8x9t3zXurvQ4fLQ3Tjqh+w+1+GetezBqt/wGA3yTVPlFh0CJzOyCuUQdo%2035SBA8P28hrYJlgW+xqDAfvnZPzKaRzrrlwFrlYDtCBRe4qxyYHHrxkbTBiFmcLjyHwOWtgDXjiG%20w/9Zs7mRa7yx/cKRonT4yRWjh037h1Nbq/uPXr1AnuXZpuAHwn2KQcYUiq8Bt5WoihPgnHr7CLK4%20WWPlWYV7quA8jCsSuf1Buc0Y5xgKute4WroBu+Wkda8bXLdhHWAXTOy4XffkHzohpeMg0lt6lCFd%200l96cI9XKPd1kP31X51XGj2dvqVS7vIbqyL5nyYZG/7bkgMvSsiSwONqrmQdwR9dChn9FYReA7Qa%204ntKwgsrlVdZcjytimFWw/uFw8Ghe25ZZ1vtrdtCjHoltNxUaGlPteAoxV8xM1ucaWEcMpmZXsVl%20vMedEF/hFSBex9c9Hp4Lm8P2x8s8yD3FmzM139//bbP5vQTNGd/iVp0FHj1K253xtrnwo8pZW9Kv%20diUknSXUpaf0+XBv2xM4n3FT+CgoMM0ll80VGoIYWgRHniLn/HPrPOUHVM8zms/jys85GtDleHUH%20vaQBZbJ0F7zfAOhL9tEbbQ/eQKvf4I+HIAXi4dJr+kVhFOTiG5mjF9R/Gg15VKg16NSNGiCwHXjE%20CJYle2lAOHnBEASIRmJCLPkRoWIhB3LUweDWrRs2cty4TIsTR4WKPW9exXmT8qQKLFh8SJAwhCaK%20QdywecN2rWc/G3MSCE0WNKhQoXkSzJmjw4NTI0YWjcD27R86b/78sUMww0yLFlbWKBgLQIEZAGAB%20/3TAR4FCsLcIrv3ztvOfv2thINx5wYMHiCX2OAh2IpiDw0cUHURwoEqZtmvjuJHb6Y8PFhUa3qh4%20peEly84qouwBpKWmaX7nyGGLR6jbVHoGIh1NkFQp0mRH5wAz8tRanY7dwIGLPAJdrDUAziYHsFy5%208hlt2wYb4AiG3G/d/E3+Rbg7B+/gOaTB40DxYgj/enJDh+7fODqdNL2KYvKNlzdR5nN+o0EDltI0%20SSIJEj1wkxVdPR3hiS6z2TYbbkI15QFURhRyBDbY3OVPN944YsgDHZhBVgvMnSWiGWZ00METY7SV%20QTA50HONPxhyM04/G5AQAhoviAdCGgwxtARgL/9k8sIP5SHpQAXk/OPkk1BGKeWT/mSTTT922eXK%20P+tM6eWXTvbkDTjYuMfNjOxZ0Ik+KpD0Bkp7xFkSSXFcNtMQQ0gyRDE9pEMOOT35U84mbTRoaIOY%20PDVhKDtkmFUPPXSjxIcgntiCAlYAgJyIaq04xhgvTpCDOuz4g+U7/WCzwQFLMJIJBwilsVBDD5kS%20QggUVVReBeCww5FH2IQ0jSYkxfkGnSS1eSwW+tRE0xC54DQZTzP+ZBRtSx26VB55TDihEQaA8w+W%206ojrTzyfdPAVWGv0oUBzzGm6FgUZuBVMXHPVNWNed2TSV0JpFPadYPaA8EhFSqrSKGTrkZOqZZj/%208bdZfSyZtNkrzd45BD/ardYasAZgMlttR3E7m1NPGSEHcMJFxmEsy8XsXInMzVAvvdNlYV0/2Wnn%20zS8Dhyf0eOXpGkB6Z7Lnz3vxzacCS29g8cp8mUVt0kzPDpECNwaWs9M14iiYB4S5BUUyUt5CZeHX%20WQXnyB+VvguWcmaZlaKn9b41qlwYRqZNjnfwKF4aQDKUyZAcFHlkeUlWUCaUWWEJZpRVXpmlP1t2%20OfnmYV4zZpk2ysXeNZ2Q0Sade5y0x5wkafLGnQJqHY+fSlwTTj/k7FDoobwnmjaj5ABHBx0jTPpA%20pWi9C0CmyJmlIoug6g0DO9do8887GGKj4yWZ/6CBkEJBOgTRrblGcNEhG2zUUY0iHRvn6XS+Yqwm%20mshEk0105ESZT0DNVlSDSVmKhChkgB5QpR/0AEc3rgGDT3TlK2Ehi3JIlKI1sMVe9+JGP9DhsH5c%204xv84otfAFMYwgjmMIlZTCuUcQ7IjIOD5KiM6552sadVzCSv2AyATpOOnbBmfbDhBQCvNbbc7KY3%20v+kIOoYzjuIcZ2YyoxkAoCOd6VSHG/+wwIaU8LOgeXFo5FEMktBzDa6xRxs9gA/9cmhDLOSHPlHT%20zH9g14QU9OQaGPJGghZENgcNZTY60AGFgGEhDGmIQx46XlnkRrMT3Q16OMuBG/gWrHH4I0c76v8R%20wIL0giHZQ3FKYlwFyuGkyPXjlJyjkpWw5A8tcSmVmxMTmcwkOnB8IwVsotObUBKH1NFJEyrImp6K%20MQ52/ClQudsd7ww1wEXtACvZoUMPikepECXHLMzZ1Lue96lQ5QAG4mjlP86Rx4HcIhOWIJyswgcC%20UzSCfBVZzJJ69auPCGuGxlKJm1a3rIw9K1qew8Y5/GEga0FoDnm4lv+C0hTeQCVcVLkkOO7SQHVB%20UCzKe5dy1jCvF70oLv6gS4au0Q9++YsHABOYCQuGmAgkbGFcmww5vsEHTfiyJDmEmklSNzV/4okf%20/fBhPFyDoZCNTChGScbZUPYtOYzANS3jiHH/1gDFqtYsOi8agM5mlJ1ubOeLYO0O0czjgADcxYzo%20WBoXmgZHqOVnPxXbA9bwJImtGSikwfLHBTxRRP/xThdpq9AR9tcRcLwNRMuZG3PqhiJutigYolIH%20Jf0GOMGpM0iHW0LijBTKXT0OllOqHCtdqTnQekmWoBuHXMCBDtKRYXWo6+Xq4Oc6jekpBfEQxzFn%20lMxlHsp3DmUUVh41TXJU8yyXWh7zyvLIbrolB+kQh1zGmb2BcC+dCZnVC8QXkYnEszwZgcE4OoI7%20YaEOtsiaX/00NoSbjIMuegwHSfv3R4UiRSlMSVlUuoFKdXjDLuz4BIouOhZsOkdFF3zLveQi/1K7%204EUvIvxLYAZTGBQuZjGN4QnXvKEaGbJualCLq/xesUM8neEjHiMqbGRz1JKRTTe8mZBvWDYcqcYC%20RVK06hSj8xbqWOcfPduO0MIqHvIgzAFkLCN73AMfH8gvdSyR2nxQEuU3lLiO4jiT1/R4DQXpoo//%20ow0g9bu2kfpjBB36UIg4RaLm2I2bGYieJLPSt3Gso7Ka/BEnPVkkHihJSUwybWhXebnMCfq0nptl%20ZGr5jzXBr5eyhXTr5IqnPO1pHLqtnYHIQSjfGgq4zoSmP6RJzeOFyCzJ1dQ1OwU9b06PpNdL1aoe%20cV11ald8tsJVPC/CK/ESNVgiIVak08vPOP9oQh/3wxNAd0Kta5CDvmLOVoOyJaFvGQAd/fjGJb3h%20wQauYV1h4RSmUs3RC75owSHdX0n1ctKUlpBgBjsyY3bQwsiQA9v9qCkvj6WSELukp6b5acd+CDKR%20lQypSDnbEZsKnA2AowdN/MITc0zxHfNYq9Y584a+OmQwFm0xZi3jetI6jrU6WTQhHrENNSNX9tpV%20UF/rxw742kcH1bxbDhUs27IDDkGomc1WoJsjuekiGEn2H33jxp1JEDhNEg6ziAMl4xTDpKxY3eqg%20FW2hX3loKaH2H6H7B2tJpw8ypFfStI0D7G7LDd0Cire683SDmmkE4VodUiMwrqmRq7zlOs//U9GD%20kXVmRF0Ok4DW6PzerdsZEV3rSg3h/VWqzCtb9Mb2WPUzjU1wwuy7zPdaCLVvtPObc6nEUOzm2soa%20ZkBgsmTUDOWu4oLzVaa7hLAvEn73CQ2WQsYoQ7ob/pMMTbIS+blpJXFaHYk1v7Eeptgj6IgNAB3U%20V6V4S8ZOVSITuzHVKMIrZlS0l1YJ0bZ+mOpnHQfrWF2K5PQouT1M84FNocySqe3hFSHGwlyHUMc7%204nWPX+ZXD3IUgUQhgmVIXJVmxyMijORmjYU3kSRZNFJJ/fAFOmJZehYkfMZZU7ckStB1kENorYQ5%20XAeCT/J1i2YVaUUJ+mB5xdJLKqAPkyZM/1rTA8b0dtoRd3J3FKBWd8+0IaM2TcaDPF5xFmGxao7l%20TaRiKv+wDdigBOhgXa8SK7OSCQ7hTvBkPruiEfPgGuSgBCU3LJDmgpJmbMgWcNHCDVDYQhZwStBm%20G6K3LThnbRykbRvAbeeSLuDWLhr1fR2lYCAlUnexbv3yLz+iUvDWUi/FE/b2heFQU2XYbyuxS/cX%20BxlTaRzDRawxAlOBDUZ1cNeiVLMBDCgDFXXAiSPgcAXyMt6nYzZzcVkwSf6gbV7VRekHHusHcmc1%20cmrVCU5mLCwRByNGZcJIaVmTApGhHZMRDmFDc9NmNg0CWA5FSEcADh4UDlB1WB2QWEG3WP9DB3j0%20IipusA7aoATYMA52liMgYFlPZzhRlwlO8AOdVXVZAYJaN4KGZoInmGipJTpfoCZld3arQwbH0jpq%20F3BaQwgw8AEfAARAYAEfcAGJsIM8qCg+2AXZYAJAwAWnYAIfcFzJEy/IwVxJ6BaBEATy4A7ZsA0E%208A5KoASHxz2wkl3sND7epStL4gaEUAojYAJd0AXtAAciIIPDRmzGdmwIiQJwAAQ/SQDuIAQW8Gyh%20GGagmF/fEhX1QA4MYAGgAArmYA5BwAIh0nox02ax5xYfJQTZ8JMYKQRAcHsjNGEDs3stpRgOoAa/%208A5AMAjt8AFfoAQWUAzEAluVeHzJJ4z/pVFpQ3AG59AFSkAIHWkC5wAK0tdit5Eb1wcVNGAC8GAC%20oBAGfGkCYRALM9CK3kdF5zYAf0AIUMkAndkFH1AB9nCLQUM0RwYB5uCQQPABYZANg0AHVeADxUiQ%20xnZ/cnIsx7J/VJAC82AB3FAPSvAFULlX1edHCdBHA6Q2R/AF2fCUGvkOWUApBYYWjfRmEGiSbjAP%2029AF79AOg7ANFvgIL3AL31M4QkIkHDh196AEVtKf2/CfWSeCpAUmrVQV/wAPTmIO/tCGB2oOSFcm%20wGEqZfSbXBCcxGJ2r0UGGroHGWo6ZJA1TVAJqNANW1AKPWAL57ADO3AEyrSDwFUhB0AO/9nglkJQ%20CkIgD6XACg8gDEywBmtwHGFhBUEaFjDzBOEYDIEACkEACl0QBAQQBFDqBgegCksAC9HQCJlwC7dy%20Kz8iBo3QCNWAC0rSCnqACGEACu/gBq7gnnDABWdwbBoapxsqp2Z3hkNACyjgAnRACGUgD6twCqvg%20BptgA8BgcGJ2FKJYMokCFdZgBzaADSagBPVAAE3qBn+AAJXSB+vSApraB57aAo2VDxMwAHrjCOaQ%20DfVQD1/Am5uwCRDgB7CABplwDDwQJLVqJE4AC2kgpvKkBjWACF1QD13gDg75m8XgA8yiAhnKoXRa%20EvqgBc9CCyvQAO1gAQxQo0EQBptwBP8GoAMsxjsQogu60FBGYA16cAQ9iQomYAL1AArh6QsPIKTy%20agVgQa/zagXCoGCj+gkwIA/ZYA6dSQCSigHqVLAGW7AgIKaMswibsAE/+Q6p2gUmsAyUIJwxSKdy%20ugcyqA/NgidUAAYNEA7ZQADQ6Qo40KptsAuG6ml5IEhQEQp1sAP1kJsPaQ5u4AiYOgMK4Kmf2gJU%201alnsSLhOAGB8AtdAAoz2w9KsAOteng/ggZ9EbU80AhTywOEAQLyWB5kup0EQAD9uZLWA0v3OKBf%20MoJApm3mQAMCIACpMC7/8A0YYhcd0UplwAC/SQeU8KbJ91rJx6EcGgcaeidNAAYmMAL/8NAPpcAN%20hOANX2ACOxAKordMmNBQoXABQIAK7ncm6qGjwvAAPoqvn3uvwhAL+zAGE5ABOfAHG+Bf4iAO2CAO%20/ZAO6nAAavAMsNAIx3ALWnorS/AjVAsLsNCrdbAJ5bJE4JAO15BGdDAsmoGxcRKnmGGnmlAMXFAg%2018AOkHIKghAGNjAMQjSA13k2CdBQ5noEhdsR2hBD6qAOWYCpp6apX8GznMqpIZIPFDCqFSAIGyBO%20OsEeJwsBuBACHMAIfSEGL8AIB3zAHAALojAR5eEHNgAK2VN73DAIPXCsx9YZGKuhympsiTkEVcAJ%201tsPXCMO4BAGOxAyvBC5DZIMgDUh/2pwAOjKia5RuIb1B/AqDPcKFvU6r/k6AUjaAG4AA4TAMxvy%20VEpwAQe7xOq0BAdzl3rwC8qgDujghEqrBCPABVfgA/rAEh6KsZrxNKVBDVrgAnAgTt3wJDigDLoD%20DMnwvYcCIcmwqFEhw0/VDVzTDxaADR7CBB3As596Ft+2LrEgtKNqDKBgvNjQhuQQBmvMKpqFBoxA%20wFErBjwgBoyABoaBC1p7AImMh6UkTgFqOfhYgl4iOVrkDxgQA1MgACtAAE4CLHL7VCOQDfEAcfCR%20C1rgA7zcy7xcP/Qjf2eYC1vzVK0UGbn1hSYAuUvRzM78zHNgDeVKAjvwAU1yR6eUHf/YwAqkeU07%20y7M7azfHQ6oD8AmOcA56dEp3dA1foAwHEArIAA29AA2N4HSmcM9LgAtL4AflsQhysAEYwg7ucCZY%20lB49cAa6/Mv6UD+9fGy7LBN4Mg1wEA9g07+uUTxHYAOjgAnQ3NGRgAmjUHckYAL+oLxYdw3qgLM5%20cDwszdIdACItHQikGgiHUC7YEA7hwA3f8A3loAQbIAgBoAp+4Ae9GwJDfdT77Ae44AdqUB56sAnt%20kT3/6UHc0AN8kAuaoAXBTD9cfZS8DK3Q0gk9wFUW8A1co5Ab8AEkAAy7MAwd3cyYgAmRMAo6AAx+%20cABfQA7s0A7J+FTg4AZZwAKBwFz/gFzYBTYDwRADORCL6VAqocwz5cAGimMklD3ZivMC/OwArXAA%20ygDQ0uV/WZHLueDLUMPV9KPViUnMqmUX/9lK2rCuCrLRobcUHM3RczC5wzAKu1EIEHABI3AXyksH%20WXENG/AHORAIIKIiL+3SHdC54zyqLOAI6pAO2TECXPMP5YAOOEC7SE3UQ/LdST3U5WEHFUAPn6WP%20Y0uCpeUl2HGgTlILTaDKzMAG3aBtcXtmJuAKBHAX6LhWoy1/8mfaPvDQXy0BZ7AM83ANqPBUFhAZ%20Ctm4FxAyb93RwBAKJGC+H1APHtQTULLNCjADf+wuhd0HZtAHM/AAObAPA4AAjuAI/0HwX6V0Rx+w%20CSQgCqYgz9AgBpcgDTwuDciADLAw1KqgCgFgAw6HDf3w2WeSbe7JD6Nt2lztA28a5VqQC1VACPEw%20DvOwDt6gDo3bk0pwBHUACZEQCRPezB89Cp5wAOtKAKfABVzQDfAwAt+wDjDQvivd0i5tai09AIHw%20B4LgBmh6R6W0QRcQ1EL9CI9QDUPyCI0+JH4AAWqgCnqwATjQKGUSt+nhnsVwBmcgzL7MxVxcPwhd%205Z2Q0z3BXwTFNTAADptgAJOwC6MwB2b+1h+tA2qOrl/wBdTDDe3QDyZQDl/wNizwADPgqSU+4jxr%20BjMwACwQiy5uHdoAD9jxkkqACP+XkO3avu3cfglMrQr3gAM4IMHisA7tcCY73Q1r9elvysX6IOpf%20HeBaoAXTwAe+Lhf1+CQfcAQKMgxlXutjgwkJdduRkNvAMAkGYL5KQA7uUApwzgXfYAHa4AYIUOzJ%20rSJ6vtwoLtN/8AXr+w5yyzXhsOs7MKWJDt4oD+mqoAYB0LBf0AXboA3aIDmmIsqplN75+CUSn0UH%20WgIx0A1s0AQYYBdwW3sjgAqo0LX67ZCckAIp4AIu8PRS7wJN3/Q1kAJIkAKDMAgMwADrigquUAqr%20YAtB0LhiXgdon/Zqv/Z1cAAXUA8fgAi+cgNbsAWygAp3LwuIYAsYgASHUANI8An/gf8JhD/4SIAA%20CHAIhxAEMEAAbIAKW4D0W1AGk78KXNAAxlAHFaD5FdD5n9D5FXAPbT/6O6AErkD5cFAGcLAFN3AD%20rvABw1oDUR/1neD0LiD7s58Csn8CNbAOQqDf7xAGtrADG/CbgzD2R1ALo18BxmAMLGAMzM/8a2++%20PWkC6moC5oAKXX+tQYAIhI8AnwD+hP/94V/+n3AIUOCkBAAPDID6qk/5rtAFqYD2oX8P99D592//%20oV8BBwAQdS58+SLL1RY2CWUtdMWAARwXKTqlSFGjRkWKFCO6cEGjASpzBlGNRLXFFidbq9zIqXPA%20Rh2YMWEekGmMxjtZO2zdWNVz/xUDWV0+gAL16ROSQ0gPLT30ianSGp9AubFlS567LUJQuSLAlQCi%20CjTCjhVblmwdOb8+dMlWisGgUnAGAQHCAIgFJCc2ZuSbAslFiSnkCgHKxmDXLQyWLVvlYmbLOsYq%20SDZW557MVPW6fTAx0sTnzqgIyLO1FMFp1AiMfjq92mnVLWVQMUB1Y9AgBq6E/rJc4Z5vy8F/X753%20eQc6AmwYtIOzrt8/6NGlT6f+z1+2bM/9WXf1b1116f4s/Ov2zxyRBf1oNMHwr983bOf8+etmwpwS%20JV2CzOsBpEe7HnoYZ5z//mvnwHboELCHeHCzYITPLOCmlFLiUYIzE8JQBgcclP8BZcMOP+QQFBzC%20+OADdN4JIp5xrqGvmxG6IccfbsaJ50ZCCIGBkHYIjGfBLLJwxA03gshmvPn6cdFFLuiIZ4MNONzQ%20ESpxcEQZEHHYAB1y+snGn2tqBLAdbkyc0b8fFZyHkAC54QbAQQYcp51rhNjmnS9ACQPKQXrgggtC%206PmAoDAEMVSQDRCFcoMwTPwAHtBMgNCEbuB58C5x3HBEEEeEzIIQKkMVNQs31AnClX78MSdMN7lR%20sh9t0NEwjA53KLFRZT5QRsMvBHkHue78WWcbbbDx5xxtvvmGmwLpUJBAaANUsEdutuvOum6yZTZA%20QtT5YocjjviAVhI5bPSLQbf/LDWML9KJ589psyEnzw1ITQcGfPOFQR190xEnHUMdASUIGNYRQhsh%20zLGgi22w6UIddcCJeGKJK554zw2+YHic224Dop276KzRxh7oIMRZbn/001kCPzbHH23o02YbJblY%20pgd/lDBhUA45PFSQHcYdlyBZ6vlsUtAs+GYdTYXEIQtQRHXkD0+DhIEddmCYZ74RYvSvHXO2QeeL%20RoVu9OwSPyhx1z01XodZOLZxDjy6w8NOO+68qxu68qDTJhVmMEhiBQLM+webmP3pxwR4/PHmccTd%20vAabw6GbT/G+YzZWCBdh7Ga+VsfpB8YYs/0m226SRV2b1LvZkUU23XwxRn+M/7Vgvs/9+UbJb8IM%2055rfEd/mcty76ef4V51tJ5z5vgFwwB6qVRwbJWZcxx03yWzHodsP96Yfyv9ZcjvryvFmRvourx4b%20bLzpAh1vwEHnZTBr76Z6crD5HHXJybt8G+h0rWsmsJx7LgcxiLGDG+EIx+m08cBzpKNYc8PdCJDX%20u1Zdw0X2yx/4sAG+83lDCewTwjo0yI1rWMBO/SBHC8lRDyW4x3cfNJZ0zAGdctSDS487hxK6Zrxr%20lCxAMase6vYXIwHSzh3zsA6BnHUKQrADG+WoXj/kY0QjjoA+36BdN4wVvm9Y7jmHqx02WnVGNJ7x%20H3I7oZwAJDvo4Icc1tGGBf9+Bx0aPo5OKQQgC/OHjW2Yg4E14oYFYASaP25QZrUD3RnHITkUUgcb%201zheOs6hjnPQwxsa1CCYXOQeZY2AAbdD4TXc40FvTFFxHmQfDV0ZMw3OaRDZcM4qj7e36VwnO9bJ%2023fo9o35SCcbJVjAClIBI+t8MFXdQIUJ+uEN+CFOg+GgXPiIB0w6StNFP+zGNgbErJh5DovjNKI4%20CMGiNrWDPKir3T+A2Y3b6S5VnKQnNvLnP39oMXfz0WCbNqgk6D0ySfakHKvI5Ka6uAh8XZrRPDdo%20nWeSI4b+KIeMRmjPVEITftvhJDlkVA5yVBR1I3gkJbMVzOPRB0Ja1AZ0lOX/nnR4I6b0JF90Wqmd%20xtFHOpyUnCH/IVFjTe5w7IMc+DR4oBQSYHittGc5ZBimFuqPPrf8xja8aE9ypFJ/2epHOBbUg8l9%20QZz7O+QAP6dBYNZIQT2I4jtYyL5zGIt4l8sdV+fzxwe61J3bKePb0vhXN0FHSawa0CB61Mmhhk98%20GsQjUTfZju4poR6ujI4/qKXSEfgwf+Lo5EnhkQ3rEPKRo5XcGGM2nWq2UoPsGF84xuie3JHJlP8A%20aZdSxVdJMpVyFjgQgbTx2lXi0m675Gt3fClcm95SOuyzzjcY57j4gYNyd8XGO9inxdKRh32T5Vv6%20oINCyZEPhfMoJT33KDJW/7XqRagLbTzAsShwxFe+UAJFxMCBxcs19nHg8MaW0AElLmULHjGCZpTo%20GaYTQqceXWAo3SZbDvZ9AKt/7ELlojM+dohDHNjQ8I1uZEp/wGN0A5RUjLChsrU+Mr7MbSw9KDdg%20bsIDHp/LaX4tF0LwWe7AnRxEBrnhjk4uCcEaFAJon/nMxyU5ydj4Qo5RS8N+aFiuubMOYnHXT/9U%2062XZsqObfrgdDrePfeRzETgE8V5QxDfN6tjAe9+7gRelL5gX9seGocQuRkHpA1u683937MlsLDWr%20qfRHF1p6yoZ1wWFZla6Sl8xcIfdPOijk3Ja1SD5PIjjDWItpfLWaPkrVlf8AIZbzScGjW+b+9oRA%204IZ/HlmKBFuuftwo8hjJ91rh6hJv/jAucqWDvCfjzj61k+90/fFHY9WYfOxTtOX2B530MvYfdJIt%20tcGrQSCcML3SM2Ij2/xtQXyhzeBI8wbUIQh1dJvKQ03ye/8LYI8SYH9MFgQO6HltbiiYwSClW+1A%20+sxWNnnM9QjPksTBjjp3+EY/jqc7JyVAE3RBZScTEDdWrFiiAtKIoR7rXKNzvilac8cnROg8OFm/%20kRfZe0h2tDc+AFRYfQmPQwWflI21T0/ydTsYFBMDrEOpf7hjHPP48lA3TGgdnxkU3y63fA313vTt%20b8465nAY3s2oq+9gT2X/4yxNNRho9g2auYD0JeXiCk1vfCGj7VNyjjMt6eiYnMiGXPfbr7FpdnSa%20v2N+EePggQrr6NMEDCDeqVHtUiGEw5E1YnUkK+siWu+Sl+7xtXXuxkte663yp7TxUHHHgMa1b+/p%20syLlT0l5IRSuctXcKco56bffTgeAlLfq5yqLRfENqHRIFHClULdlUyeW7fIFRzqy9roABYgTnODW%20Kca3+rhiY8GDpqnlZj8fBjKgpdcXz45RKEL8jCCr8TgFzsDEjSY5C2XjYBNbz5kOgno6tdiAH6FX%20Snmy5le3Wc3f92pYHW5AAkp7vZlrJTAxB9Byj1bar/jxBr4Ko72pHzJa/y9yGgF4+IcMyhZKyZnq%20SqIYKQdW4icwCYeuoyQGOJ67GCzgkbp9ejJseCQ0uoEbeBM0mi0ySpX8+AL6S7KTAzJ/CAfrIADQ%20aikxWzumsjAXOcLwmbESqw8T+KZSyrgWQgf8UAL5IrQK2iLrQIVuo48LXMDhU7JWGp7QuoYaAIJS%20aLwlObQvOja2sDXBqjxdw7xe27y5Wrbp6gbQq539mrLwQYIiqIEToIETqIHXWgfrsrDHyzRpwzUM%20KIJamAIaOLTaqykKLI9rGJBsgRAYSYVK4IgiKIITMAEgYKe+Yar9ki+swZdzkpZBKIEk4AK2OgUR%20bCfEYR+NgR9yqL7ocP+FJKgFGnABDKCBVJC5NWJEnroG8JOjEwuQqwiTT+gEaWQ+ATkFa2STeGAH%20/5M/poIfdNCfEyiCVCDEJKCBbJG3y9EtkOug/6OOBlgBGhgvdwDC1fO8a0BA6NAqtmtAcMAAFziB%20QgzGBlCsgiuj4iEnSYEOQQzFEyidcqidc0iibAHBVqoyMAEC14IDMHABQRTEBugd4CnFqCu8AjQj%20kGkVICCCSnikA/mYbLOp2mGhQdnBx/EHzsk0FxDHGqABniQAgDPCI6S6oPSfbkiFOjiBOjiCiotC%20oprCKrxCvpuxRwzHIqCBKcCASzup+VMy/oIcFtuOuyiBeIQkC6AkPCr/I3J4wwIyPeSaw+LSvM2z%20jrlqn+ayD3ZjrvkAsnUoAWZYAL+UAngsIQJMxprSsWsohTOKBwxYgQWIgRiYgjJoFdvLOaLkKDdx%20seliADCIAWaggr9sAA2yPTrbsJvqB5HiJ0qiDxPghwUoAX4ogh5YPaaKvi6QB1iSQJvCBhpoTMZc%20ACmgAeZxER8Ej2WQRclBGUIYoDpogr6MgVpoJklRApCaok0cgVSStXz0Bk3CAAFYgM70zQVgni+Z%20ujCjG9aLDgvwyxIgAhqYvcaqyH/ADoscH9IUhySIASlozMasgU+aDlOTQNwhT/GBglz4SzAwuXWY%20B1ZspW6DtiRkn65D/4IYWIAmyE8qKAHOcQfOIklJIiN3AqDtYIASaAIigMUymI9t+CT2OZ6KIoAR%20UsFrALJOKoMpaALH9E4BuIHZGp/ne08NCx3JMUO/9E0iKDEB+pxJYgeVKZnJ0S3LqQXGrFC/PIEw%20ghk2RDUlrCzQ2oZ68M4STQK9xM26qgfJuzU5vLy3PK64vJzjoUvyYICXAUO5NKEYLQMLuAEaAALQ%20jFF3MCEdK69cIjkY5IYbWIFTiAdbOIUaKQV3uK3FArFnoxFueIfrhA5z2IIkaMgbEAAM+DGderww%20W9HjYaeTgxAwyIUVQFU+8CDhi753yAb56NHKeVUCuNOIgIMGABMT8v8k8ICX43wWCPmAOgCD9jEB%20chigcsgsEBypEfhK8ukCb6BUbBiBTW2AcWiAEmCi4dG/wxGHU1NE6BCCEoiBFYiBEmCDMZq/8MEO%20juLRUN2CHtsCGrgBDEA4G4yO/+xPOStMd7gBIoCCJuEE1lpFHTFAI3LQMsIG1goTIKiBEgCCfgCD%20E9CgdWCHdeBQ1CKj0zpG9XDMFRAANjCH49kgUWUhE/iCp6qW26EnDJAHV0ACJLCFLeAGwptPlCtJ%20DnMT0opRGigBWxCilTpSL7o7AmETWkxY5iIWc2CAIkiCOBGAVKipmcHSw4OOBPwHbRim7lyBEngH%20T2Ke7qIPMoVDtsz/NTTtpb1hPbWlueOBnHwCghtKLFmrMyHwh22ggRWgAiRIglzlUcKSnQCFUHE4%20SOoRAAFIAkkkSZ39psnJLw2CmHSQh/3QIAEogb8QgAZQ1Dk7ML5qUHGQGPs6VhM4ghH4hlVgogI8%20nIVFQzmhuVTKn4lCAgGIAX7gBP70B3eorC8Cn7fyspU6KiAQICQYgGkgAiLghHHQqRQdGSgkq5Pi%20Q+vKhvpYAWNwAWNYgRuoW7ncqW1DrMmrR39gAxLCTUwjH3ZFMPBCowGpgRVoAo+0qdX7MpIjTQ4T%20h3jgBhjxhx4QAOO13HT0hnMAhxy5GpHjJMdKJWT5BzZYgSJogMqV/wVWqo5qCtDPkdEhcwVsGEh0%205QY6/STi6YYjCRPoCYdDC49amFAXAAPAGjJTYip2wtcZQ4XDTQIBSIFBLaW5JR7vZarzO1UX4IQY%20oAFzMIcSBo8zYmG/qYd5+QBNkgUX4Zwgu60RQECyxTVccku0Nc96XFtleibp0h04BTNn9Qd2yAYN%20qgXjxQD2DM4SFGHZubnp0bBLSx828MtFWIBK6AKVgjbmRSG5ald1cAMY6Lo3QYIVkIImWIFzkh4H%20pSdsOVhsSAeIia9jxQBytd5TSF3KWd1SaN0Vfd0V/QcXKIEqAIMUKIEgABOsJcIyWqjBejgl8TJJ%20SQUUCIZcyAUWoP+Da+gbEZYT2cEvmMkkb5DeiKXQXAiEFhGPqauyI9bX1A0HGmAGAfgLC+ieyZsz%207IA89E0jjUyCEvDXWuDif5BfVrG5DuOGH0pPv8wFAbhYJWa7AZYiw+wktosPytmGb+hOv6QB6Iir%20c+hQY4s6E5qHDt6CCW2AIpA7QJVL+jAHeOhlnFll78gOWSiBWigBBliBBjioIwZUF35eZytKz4wB%20FGCB6IFBabtDykysLrgGBrgGOFgBFJACTp2PIgZAH3s9YqGoaIZaGgCywUK55kHAQzNTX8PizFPT%20uJwO05JP8Ggp3bmGw4XFIMYWrJXDvEoh7mQAFAKgwrnpCBRjuer/h3aoAdAUAnGQh80jSMsxBwGo%20hBWAgxx9aqslruqYDwvoBxeo3MqdAsVRPaXOpeWapIv1B6ZNApNBzCADM3DNUr/hPnnggwaAAyDw%20B6Vy0kkqTOk4tNjDWgaIAW/GVgaSYKtVPSveqXaYghJY7RU4gaWeDtByBwYQgB4Th5dWUYmqvOEp%20nNu6gQbYAsUJpPisPGwgAMoRgmXh3xVggxIogu3oG+rQBqUyoO8Nj22IgSI43AUoAyBY61wSDxog%20gnaAgfuVwwetyOHhJLMOnzGam/dksZJ0kYuN0QU44UIFgnXIhrH7oOaqtbU87bpB6jp8bab2GyGs%20G1nYqzKIgSZo/wIBqGzk1uwr3g5LMWzDNVwwqCw5tMXwsQByxe67Y+u0rY6ynIITEMsYuAG6jk+7%20rg5tcBERlQIpiIH2iI6WAvCMna6rABMX+NgSrQELcAd3kIcmbeyhLGGa+YdUYEyNtkEnVeV+yyv3%202NRRPuHe6dDSjkPwcOktEIAmKCYRf21/MOgLL4JqxtpjC/O6mT0lAQO/xFzcck/h2oYO8iQBOAEi%20AAM45yLw6AcC+I5Uqe7w2AIqkAJmAANpQ64wB5MaMNfKde2jPu9QfhkgKIEZLwHA64a4hd+hBF8Y%20n4eMFpxRfumGaRgPFR//njwcBw8Bh0sCjw7TOvC6MYfdAYIbQP+CBkAhIrYOOcclMrQOPeVrAaiF%20b3BRCQ9wsbaO+0wCuEYCGFBr4qYOwx5XG8XoFT/b6riGbwCyb3CBG9iC1/ISV9diDktRMJHdj53m%20IPPW83xvC3stYMqGyi3Rb/4GsKvIzA7w6bCA+6QC0AZbLM8G06ab33Hpv4DyV3+PcDCH1S4BAQAD%205oGZ6ZRDECWMFUgCMCgBMAijbwDrtGUfAgAebnABCqVp4N506vDzPsItaWcevd6Ca3jJaJ8OF3Fg%20hy+BGjBvpAUk8/CHHgcDGq4BzsY1Jx1sf5AH1vIkYip0IriBZaO5Kkt1o27Ls03qVy9wrJV18Cgc%20YKp0ja4BcN//jl/3taxFzQaoAZhVceg+ag6HDgGogW+wAJzXsJkPVH8I7xJI9Ok4NGyX9hTSzDtv%20gAaIvesQdNKermswGJcG+wZAgrs4UTJu9/dm69digxiAA26AgxgQD+HDy3vFevdoqbIE+hPg1YzN%208rKdjspmgClYgb9Q8avfq2tAAhdofBpgLN5V8xUXJAklEz33ucInbrwseCTQeArX9D7/c+o+dvGR%203W8+AZlX9Oqo23Aw6xtwAZ+L9J23JiIQAI658wSHjuNS1+WqnPke85cuAiIogmRumGKhnDGqkzLV%20cqq3a6uPfS2X7quVdgACiG/+wAhYgESAi3/+umn75/AhxIgO/7c9DHcNiZQmC6SsyKawocSQDv35%20+4ft5L9uJUokERADgytxImdik2jhWo0YUha4uCYSZLZs/RSKvObvGo0VKyq5mLLuH0VtT2dCrImN%20nTijOGM0acKs59FzQkySfXgSZU2H/SiSJLCSCJEFFuD9y3bWqlGqDrVlo3itSNeXFr6FTJuNgNqZ%20FousiFGjREK9kvtZ8IdkxU4qYCyE66ftrGSIDRteu7ECrgAiFhwyDP2QHIGa/m66iLFgQZEtJAmH%207EeAYr+SJUP6E6C0QYwyPl07TAvxGtIFGqUkYa7Q6N2T2SrXJgJmAQ1/30BSbH434kmS7IRYxLlx%20RZFwBNZhG/96cuhRIUJHJmbuLyh+Crnyz1TWzTTUP9oQ4JFIFG3zjQUruAAGEiXQ4FlJ5blG0j/f%20MHDUDQyUAcYUD2kYGklWpQXEdwLUcI04MjHnHESVCQDZCQb95BCARIV0TWU1EHECGGCUwCOSkln1%20T1b+zAMkEgwwUEIR0GlzTXo0mnSeWghqI9AWBZVww3DbZHedSMNpg+A/N/D0WAzQSeTcYf39eE0J%20YBRxAmRaGujQN9CFyMAJAnwIVT/1GbjNUEL0g9wCU3yYTUkguYYNOdhoE85RAriYRAxIkDScRL49%20FZyPNq2AARGXNbDcpSGx188NW0x5gnVH+ZMdRd1AdwJHJ9T/Ix5IU6mIkllk+cOOP0KUxkwSLpSw%20wjglYRObScNdox+Cw7GJYo/CDVjgn6XutSBVsnR4kXRUxEDmdn9uA1I4UtZw70rmwHMiitai5M8I%20J6yQBAPziENuaFqSFI6L14SzwmohAbUfqRG5Y1QDK3QlBQ17/dPPt1SlJ0+T1zBQwxYZg9HeNfKQ%20ReN5fnbj0BYtJWEByN2ciU1eEn/0EBsMGIpTCc0WxiNiH890zRY5UXFb0uU+JB6QNTSABBElVObP%20Z5lKvcU1ZRAhwAnX9GMOg9bdt81RQCRxAjeoCECAP+Yc+NvHwokUDg20dCWAnGpLZJQFSCCBQQwl%20+ofdXV04/2SBNpzcyMaJlm4JWrLYkGSLP+0JcMM4NQgAxDWfqYjftvv5GLJe/1EsIIFS93Zu2j8F%20asGEYDTAzUNKlLvN1jfoZBsRExmY4pYOFSGFAMxvQbLgEhW00U4LbLFjXa8Td405pb1dwwixc52g%20kspCB6QL0t326k3+rLOrlmdCpKE5SSzQGOD/IHbmUSIhiGAqSqC+25QAFbBKFtLsNDjo1KAIU2CD%20ECpWLm2QpAw6uQ0YHMaQXZHDOg6qDBBWcL8FbEYh/uCXXszkmXDEJSMLiAEzyCQQ/80nb6mKSD8Y%20gIG33QBI0YuIP4BAA+nYpgG5YtxdCAAPf9SmMQtIxc+qcv85mJlPGxHayHRG55N3LAlBqeuWAiXj%20ugD5Y1yyM1eC0NUgrlnAAi4CAjdKgKuHWE4yljIKEKTEDSCUBG0G6sbMQOOPFYDvG2S7BgwMFD8X%20JKEWNQCDC2jAAOyFqyizSUIlgPANPgGnjnqxCjtKBx0GWIB0pHPYOvKyJLOAhkZR0V8MBjEOOCzg%20Gx4xUyt7hkZ/DMUVRXibC/bUE9aVpU5K8x8QhjQbItTijA6x2zW+kUdutKMds1kNORJlndH8AykC%204AY3DoI2DlnnHP8KJiSJdAI2zOxuwNGbWuz2D3M0oARIsMANSvAqRQJRPHkMB+nCcUT4neUc4rEA%20XMYBhCn/5EY0rMRcc7aklXX88gQusGgN+GimhtznOtzizzE3VMkyxs6ZD/GSGiWGmEH6TQpPwwAv%2091Wus5nDH+3I57SKIDV/wGNN5vyHBSpRiRsIbAsx+iFEqIYBF7gACMQkX/YCtD0wMKMJGaHCCYbC%20pqdKsSap3MaTcFeCG9GgHYHyhzh2VRbzQDRqM3PFCijkAgEMZor/OiAOeWmpozCVTEaRIJ2SxlU8%200cJdGjGiSQMVDgysRABJ6NlJfLcohTQAIWUwzkj8IdlLvQM/DLhG6BpwA7vVTYInrSGqSAKSbxBm%20GzGgwk6YEQOwIfUhQPIHn4wTmQ0hEXP+YIwL4BCDE9QE/2+Zg+jLFCIPdwSRgS7ghLN8gg271MSL%20H11drkZqRpP2R0G1k8g2PJKKrFnUWeYIjjY8SZXyBGcrMWjMFFxhASWodyYLqQ8XeSm8jABuHUHg%20Z1LNAYQTWFUKWqOk9iRiC6aVoBJFAAMqPJKNhnDNtIXRHM/e95cXvtcFFjnKU1bJVhEnKF7dQMJt%20pKCaMu5MlxHRhoa2sY5s1NMrCyjBoeaUwJAOjgZTYOYJbGVSXvqjBkoRIRi2AISGZMpPVEFMPxRL%20hIwQ8h+uIAkKRcbFbvqDG4CRgmw/NL7e4C21/6CLQgTSj0IVoQguuMkka0uSa+RIKQLQ6eIIehIK%20mkOaJf+wqgCQoBBGhVR+ET3J+Y7iRilIIQaGEig2KNLR/KjOW9l9HUkRdkaUfnd+JbEAA24AhBsQ%20YXcQguqfuucP4cGRj6w5nlpPQoBUmCwVn4WRjGIlkaOs5BuIQ6xEJibVXXNvC9xgABhqMJR1RIWr%20XVWIOJjLDSNxigHccBhzxYGWqnBpJElzBRssAAc4NMAiZ86ObPAKEZD1o0BAEEADGOCCFcwTsA8x%205mAxYBEkJKEMFl5UBVdwAwsc22wOUYISnCyZbpCpHSeD42oqrDZZu6MfISwCHDAgAAzU9G6n0ps2%20ZjYcc2whG3QuQhvVLbLtFeHRTh0ouj8GtosMXK1qMdb/FJ/NLHc4iwGEHHAJ5iFQu5DFupUOY+u0%20W1Lucnom6f1HA4hwjQZoJAZG/IY56isZAowyBiUgrzlGwLZcjYC650hKDJKAhEAxACsAhsgNNI5y%20GsQACAgedkSuwdh6MboJNfCY1tGzJeaeLyksmQISrNQ/EsfspCOpxXuTAIdrhwNyuESLi0Oyjoac%20Awk1AM8NWu6POAu+LoKdST2ZWNXZchdnQvu6no4ynpN00D9BIYBLyHbt2Sgkaq6JTXqDGPUpxP1z%20aKbhO1MFMqg08B8loAIzPqfylSeVMgxYABEYcwOY3+Uc5mADZohQA949U4GGNs+cZ1OGy7jgBgTh%20RkmI/z7pL4LU2btWuqZl1/SZBAVxFrANEEDGx8xMp61XeQRROEyLcRQBBf2JeICMObkCDVSCcTDP%20NbjdjISECC1AVVGBwN3dDUFEKgkcYJxMCTjOupWPVzELdGTMkblAP0DHspCYXdHRXmwDBkzBFLjE%20aURMzPVPSJxIkTVG9UTf1pSe6SHdQxzENcRADPiDhfybdXDKFkzBArhEEgBBONgN7UkNDYABEdgG%20eHQOlk1cTbhD8zAao1kPSURMqaCWcOzVPzBALUgKM9TCZQVRbY2EBWzBCnhKDOwWivTWSXTDN9BA%201jgRFD0dmxwLFdXENthCP1iQbTzNFZYBpJnOMdEfdv/ZHqZtF9PRDv85hCw0BhXAwZR0jDlkmWSw%20hQVgQDjdQBlgQJwFhXV0g7VwUZR9QwMkQRNQQQPExNs9xBYgQQPUAANsARxMn7CF4EikkhgKwDck%20wRSkTUnY38tggzjIwzbUChA0QD+Eg5JBBwGkVXI91CpJBVSMRD/AwQrQgvWgTYtJ4Udo1dVcTdP0%20kIUZxumJRAPcBlZpA5WY1PtsgTjuDhwoh7cgnAdBRbNAh7TQwgoMBS4q0jngBxLcwA2IluEERzuR%20WfKRU95sQw00mhSUATcsQA8No0NISaj1oZJx31lsg1/0wyDEBS3MkUOsQyN2G/rpCp3FWwM0ACe8%20Cof/nI5HHR2PiRH+cVd3pVSwJYgF0B0SwFERNAAvGU9DfsNlCEz1EIHv+Uc3zMtJ1BOHFYkFiAM7%207CFQDYSjGYcbvhiPJBgQhc2NxGAkJUb+HU26+UMSUAlX7EQGaUWKxI9PMog5pML0pMaLIAr/TF+C%20aNVe9IMCCsAUVJ697dhgIYcLYEMZ4KFJmYMrLICRudDonNA2lAOy2B5uOVFqbJ/dFKDIaFNnXEMS%20/GFqwNSYveHHEcVCWBGgCAwGeMgJ3ARbCkxtaAQJyeRJUAQqhOELsYQrjGWSZONqJhdzucIoVSbB%20lE6kWYW2XJeleSIZgaJJ7d+FrUU/OAs1Xdv/KNxM/8zLHEbJRq7f9TijXkTQ+awZFdDCcH2Wrpjh%20WpnMCSTBbcoFCNrbVRzMUZhMmRgPPWbOwVwDG9DnUFZl3RyasoikREzYxzwfFWxcOFBKP8jmZOzk%20HBZBg3ld5mEOvi1Ng3IDzuyjB3VDA9ATAxjjzFXKdUrG+RDAClBDEyDeh0HH+/yJRwQRELjA2JQA%20M9SUifpGSK7VSFxJg96E3dUWNjQAKoxa02zB9s3ItrWkP7DBAlCDFJzADYCEpWidzMyQP5TBFCQB%20ESjFcshffZBEN6ANGC1l0n3i0p2nKIpEFxAdpyhHO0CHBTCKohhIQ5iDBbSDkU1LVlXnIAIJp1Do%20Cf/UwgpEH1bK06WM6bpYQJ9tQSUAm1xG1Q0tCVCWwYeEw1NMxVAEnob6gzxoxTWEoXFcCEnI34bS%20Y7v5RirQQAnAUPFE5kwphEfgzDVwQw2c6gGpiGbOxCn52zVcjI4dT021nNeVQKIuahf6RypxTwO0%20XGMkQfesw+Z50HDcBHTs0TVMQQ1QyvHhEBwqhJMdhTtcjLuy5ejF640EmoDSyOgdY8sxA3iwjf3l%20q1poRWdUyGiVGErgx54qJTYmVVM6JXrq2BlO3dQBqLWYaBDaFrukhhwJwUcyRzThapyyAatoBA1E%2008BODQNA5/2EaVSqqoKSzDrsa9ggQXmcSqwg2nz/zEYRpN1K1IAQyNOSyAaHQkSSTkUXYMAhCMBL%20MZsDIghP/gMQ2IZOCEDnoAeyvGhRuKsr1IC/HY1/1A1yeIqF7N7lWMf5QMg3bAGwhKi7XgMrpskJ%20+QrTTNkG+ltYrluZ6Y2fAMnFYIAQGOce/spbDqSYithsjEA3jEADVMIKUEEzfczC7ppAkERl3cb9%20CBSBICXA8Gn9XVp5BqozbeyLSSlu1QASaEQNnBCVMocVsZ0AtAM3LK7HWEdNEeZliK4A0EAqRajY%20iphR7BAYnMDaJeiz6SsGnAADaAQUrePyqeB1aIW0ONWMCoSCbNuo+M+aQIXAcGDiyMFI7C1xeMbv%20//6FgVpNOHYVPyphS9IZBpSk1cUPwNUNEYANNxgbp5iENjEH4YXDFLhQJUwBOH7YXopERYbjUfRi%20kSBBA3qcDdkcEIEBYzWBACgHW37IFwJUDM5sZm1BCezEe9XCgBDF06ltRMgT3VyEDtYAmdRUfUys%20QlQsSIynSAHqA/+J63JbTQBs2gmsWohsg3yDRUyJck6BPCFvSIQDYTBWEcCU5hAAqA7tgNJAU/XD%20I5UB9HYVs7DDZUzLX17ZQ6yrkmjOrTbLqjmhToBBTfnDT7Hq065bQ9ADn0wBCqKKEJdUQxDAVQbR%20F+ZY5kxrUQjB1/0h5CJhvziE6KqYNYFro26INv+IJp+Eh258DBUDsmtccJchQRFcGxLQgKjUBfJl%208O1igxDEAGMcLQNkaQYm1VFc33s1AZ5xsXMsERtgEg2YQDthrZ9KUUSsBmEwEa5YwCOJ2fJN2gig%20bif+8OoGsYEM8WlRBBukT3LIqx/B5xqNBBDkhHdMwYVART046gyBjJl0CCCPRQaK2Ba8R/O8yxjX%206q2yAVc0wAkUwTsQBftGLzusg7UBS54wsJqM6fj6DALxUnAw25Eyx7IlyFPkiBx7sAklsiKHxE2c%20ADN0BBFggOYYM3MATzf4HJW8DXSoWY+24kN0A2WoxQwpMXFQGBJwxXs1mkgTQH2ZSgY72TXUAjP/%20lAAblIAtkK6uAVE45AhLlJrg0GA3wAMgcch/eAlNpIndIEFVucRHx+aWVdcOo00P22+aZGwoppGJ%20akoR44QQnIxPPIUG424Mhk0JwBED8Ea5HF87lQepXmy2mgVcYIBSVCUzziXeqcg1jKvhIEULnxBN%20HxrPyIOuMKnFASgXStqvisRUzItUZMgaS3EKPsWaYANLNICBKSRSGzPZcjSMNAAblIHSwvCGWEBR%2038AefRbp5nC58NTUmMMWGwjRKYS03IBLKBuCKJyUsvLhCkEtsEMDbAHj1nKNMNFgXgMtJ7WJ4Eya%20DQaFrTH1Qa1DsEH2tS1WNkuiDAg0S7MPgwsQ/zvlMXlXfNYHBaFyDTTBCtgdYrSzOsfgPz5x0tBq%20RHzunj7TN6QsKCdMSNSCALCBp2BAA8SlQ+nss62DOGhDuYbDTrCB6liqSLDquF6DC3iFbZzAOit0%20Hv+u4y2lX6MouQhALQiPC6QCVrbovfXjndAAyoQopVQMOIcELo6ebewEEZCOQJzEOWyTPI3HcNBN%20XTREQAteeP3Fu9xI/g4yct9rXNtWLYgDGFCB1EGmbE9NODRAVd2GTiL4TBji/2hl9v51RNxnapgp%20DdAAOJ5Q0woHD6cuefqmebbuoHY4o1yDY52Gi1RYpP0JhQFUDdDACThvh9iue7s3NhAY9JU5qv9G%20eCVx265cAwE8hqdMQQkk6YO2MUkcrxBswUVZFG3VRdOaEGg7JVyXByLUQlcwAxV4MFZSxWoPTnG0%20xBSswJkjUCgDzDekQjCdQA0kqloceqT/zmcQSI50xS/qyLODpHIPjounndWBeZiLRzjwTRHUQPs1%20u9T4CW8QwBT84lWtgBH9h+lGs8WqLp+z7qb9+Zy08xYUwQsJwZDwZAEzB6WkhLtmZEJOEpOTu1O6%20AxLYwlBWaGFLeCJL9tTdRgPVQhesRTHzpXKdD9PYSgMAgW8nV1osNMJThayygeyyQQNgAOec+EYP%20jhCkDzPYwhQQFyRvCMhgwA3AARCgJPeMdo//l7zgUViO6nwZrHxNBDdv/nRIuMOfCYA8lEAZiLF0%20J5XD6LwO4bXQl49EKDlQuawr3EBGJjR4hrWHTjN7V7N7Y3NzYAt0gAENAAESuINZPDl4ddNF6ASY%20CcBDDO7Wr+1EJfbDZzpkt8x8l0BpYMDHNMTWqiDPZMW2AEtXkCaptDrJ//3rPkSMJJre6rqND46/%201cAUWAaNljRJCA8zZERdG9xJ/HO5n58iYcORGwU4XYzeGvmVT6mf7IqLrEPtcrubK4TFDVFG6DLm%20o7m5QMcnt+H7YHx6x/ueiwu965+9C16J/pbG9LMYcxSA2zIfckOIYI3iHL/suM+13iq2MjTh/ydX%20gzKA/RBBjItg9y9JWmlF4TBAZYEBYXiGiQOEv38DCRY0eBBhwoLatPUb2M/htXXs1rnTdu2awn/Z%20CDxU6O4akhVSatGgcRCbxoTwvvlrwKABkRLcrvXzt+1cSpUJU2Lz6XOnwpwp/YUDwg3pum3+sG3T%20ebAfgXX/bP5jijBcEQELTtTawi0owacF/V0L1wDIjRJgwrZ1Kxahw3/fLFi45s9Cv2sWtDEFik2g%20v27msmkbKJCqW3/ZsjkM7Orf1LcK5WojkE3hu3/Y9BI5QSRmEQv/tmUbu1OgzXDhuDW4gYTIlH7d%20EE+2/dafv3VlMbLLiNDwxsZWC/b8F6Qsjf8VRJLUINKxr9ygPnNf2ybkGoMaW24IABPOX0PjRHPf%20Nl/VakNx6zCWLauRo8eE18SVIFILSVeEp3ey9FfjhhvAEKCda8zxpx+g2spNoJ8cJK+26XzSS5tx%20MGpvs3c0i4uAbagKbDOEFqhhhWsE2OK3tvgToigAGyghCfNQCpE/lfgz57C7dHQvN4g248yqEQiT%20CzHpglpsuMcik9Ggyi5TiDNstBFiCgEEIEKAkwYioEaVtrEgtwZGWmABIg7zkMk0E7rIH3F8u8ad%20NQdizLHiQvTHlm1EKoKI2LpILEKNjHOPGwtoWKAJKWJA4qEEjbOqPDXdaqggicS5hp1t7gr/tKD4%20EkvIAiFKqGWKEhZAAjA73TrwHwZikIJMMIAIB0efNgyLwR8fhNCtn6rDSIh57lpnqISimqqqqw6y%20YNQVpoiBjXZ6RagmDGJgBlYt0xzvrS6t0qssc675JhyzGNMGKMcGK+ww+XClkzh/IJNMTScx48kp%20q5C4tokStpBLSrfQ/McCBoBwjQEhRsNxMm4dDlHG6vxxBwZxsGFHTuHqhMunawi4xhUBmqBigQY8%20gig4GwHbhh3e+oHjBlRuqMnDpmiElFNJNdJmm90GEgcGdsRh+S74OvqUWnEaiIEaZgQQYj/c4Omm%20Ae5uKHBcR71FKFefvMHma6Bybeudn+4C/0LY9s4plkMPk4W4IHFqYIaKJkRLMSz+rgFiCwzgYGBm%20NXtysNuD/PnGsB1rqoljIP0RcjjikD4SXiXpTdNeKKkioKx2biijlLsMy+mtbJZSawUrY1ihFvBu%20mvZhbtN0czc3sREn48rtTOljf7C7oQG5GKPKSM2JkuiEFVYXIAYBkABzI27H1lkleosURx6hy1ov%205zmPLr4gIDASh4AtxIkULsVSKYF5AVZYAQwUBWIb1/J++jpsnHvF5pxsfr1mHFP5CTmMJZUPWaVG%20dxEHG+YxD+xM6yA0cF/qmHeCbdHoJxBsklyuoTD3YMQm2DDNZgKzruAUSTG6k9eSJJU5Of/5Y31E%20AENspnADBP2jL27BHkYEVAIfniAJReigOHBHPSOGJTiVc49BCAAPASQBDFAsAQ3k0o978eQvBAGT%20OWhQqkqQigipONoVj1hGlXgKfASpAYySQMMtpMkd7qgF60owhSmcACN2uZAZ+di2A+YGTYbZRqli%2000YwPFBFWSwLbPrUpyQwqo+RbNJAtAEvyaVRIUiq0wovxyQXKoQAz2qe+wRQAwt8wzbyuNQ1sKaX%20BgRxfPKQpCSTmKQlGmRpq0vdCmpwLoKQsThZHEhLcjMCeIzAAq6YQio8krJZ9hGNCgHDLiloQSbt%20JW1AcMcJZnKhPD6zj8f6Iw4HgiNzFIH/ms4KXCIHdaGj9AAOROgEOCVZGUuicEEqnJfOPnmQjvSj%20Jdd4DRyQABa+ODMoRCQAAzCSHwFQQQpEQBHQ6GnGWjrmlofRxtT6wQA4cAIJbNAoMA2Swaf4gwEH%206gYqkrAAKjDDgv2QRUUjGU1QAcECN3DFDWjQPbfspYO1MBUtpgCScn2TpkaMittAFMiBsGEb5sAA%20BhrwPLztxKRWwUhrwBCDJiyALUktoz0jh893Jckq+2whJZ+EmiJIQQoQdQFBKukWAsDgQlOQQuoW%20hZGJbE2sk7kopIpmkJbcIAaIogIYjrYkTGaVIIJBhQCYsQL2daEfwenHwAIrKZtS6xoY/3ApLZgB%20SRlhpBawWsGpsCMEkFyDJp1toQHftg1U1sYfSZACM5rQ1/210x2rXV0uStED2VKPrERyF+XQykl+%20spWkBFnKl6hUAoPNzB8dmozFQHKDkZQACJWogbi0QcTjpmmwEjvI1EiEhEEAgQ03oRdndwc3V5iD%20aohKggkEsCWEnpdJnz3INbaAJQb8gw0HZtLEYkCFIsiiBBi4C2uKAj0An0e7b6MUXRDHAAFMoYMo%20Go2KbsYbKTTBBYMowQ3AcmFPUvKey0WNPllYL+gqxEOG8QcYVvyau8yGIW45hzzcEaYSjIQZSSjD%20xG7n4tukN6MD2QY8/tGAUt6AE/UYyP86gmw8uBEEHqlIwgqawIwpELCu9HWyWwRsEIzQYIpIQIJP%2028KeLUxhtU3I0oQJtebJiPNtN8Shh/xxJQbIeS+wu9M1XEMERIF1EH6+TXLbNbkZN1etNsZhWxXS%20l2voFa4xcIE5MKkS3+jGAuGwyRoXIACQYKMMkp7UnGxZ2IPUgEwLkMIUZuqRTqqqIBbwTze6wQY4%20L6AW2iWNrEv3PYVYAAhTyPUKipAmf3CjLPKgQUunwCK78IbZYVnqH3NIFn+UAFZNWAGKCmfu7HAD%20CSKLUbjbQulLphDTNcbcjRMiEG2A6WAebUBNvoE43CjOHzj1RxkaMLE20XsnULY1Qej/4hI4wAxq%20mzVrSYEjkIqXBwOuCE5jIX5GZ8/nGgyHSQPKbZ4PdtAfskCC4jBSco0AuoSUtIqqafW5ANWcxAPW%2041EAZ/Od2Hvjl95kpve96egeBjOeccEuBWAyjSraRkbPXa0jFJ5UgIbqJ3DIFf+r9ZqeHCFRXBrz%20SlCDI6LP7CoZd22H+Q9XTPEEzYuBkq96G4ntMe5xgXFZZawSTcaL6S92+s66MYUirDEJ9rlBP/Db%20sC9HLfALoTVGJz4QGhQBA21MAj8w4K5SZ556bS4IGIpAgxmWKr6oryjOiUPlZW8D9Hyyj79OrxjF%20yb4gSC+8Rg5vuecuPiFo6sZdGFAg/4bSVc3Al5TEA7XCfoQDDpgSKUG4LH1oon3AwMLIFujsfeRm%20GES2t30ZbGIT3vTd/GvFYYwtbXga//o8/OYaQbKyWkW5PRyiL/6YhPoOwkNuwNFOjAbWwUd8ZgCN%20SPUIAqeQYNpOALAeUEZoTyDQ5BtowyrAQNf0bM4wELkGT7nqj/ju7/gs4+kgRRtawj5igH1Mi2eY%205FHirwALYjDMwQWWp44wY2NsQ3ZIMAIH4i4iLwbwTFtIUKnQjzhSBpUiIwaIgNpigN0kZQiBT/hQ%20MJNUUP5Y8EjuiDkEwAUUTHJu4wZxcPMIK2fMYY1qIAnaaCpqo/eiJg0xsAj/IRwYQP+GPm8FlpAJ%20+Ym2QORTAMofEBAD+mQF2A8Lb8b8trAOycILNQ0MV2IbEucEXmMBVuAG5kQA84ZwLtDocpAgXAEe%20/GELXAAOyMyaTqZwHiQQ8xAjGqD1FiAGOvGCYscRUW/uCNFH5uIfzAEJGmAKmMFf4M/yYNH7IBHf%20lk7fFK8SO23haqAMxiEVb0AnuiwZCUcNNYYNE6KquIGgTKYBy05QMEhBiBD8DMIuaoChtsArRPEc%20dfEOA08Du4Eqcsj9TgA8GsAFygAZFY0bpY8Z8ynf8G/S9O8gKmYdhKAGmocGehCPMOJiAlFG0iur%207oIb2iEmYgAMOMGyHAJNENIi2Wz/HQuCGyQIfh5SiNrjLtKxJN+iF62CiLypg/KOCPJjAW4gCmMy%20IeeP8Liw3yax6aLxIOQhHWBLAKhB11oNDv7hGuahYnxSsNbQL9qpQIgAouBqRB4iPKjSPPIQDgSA%20FnprE2dGcWASLI9uEGlyHfDqTcLhxKSAFqSgEoAgEtdykoDyBPMS6g5yBTltIcVBCLDNBZDgNVoC%20a95SL5HIKrOKN9qhB1wgxeBgHApiG3KsMdtCFgfhMGHGJhtELTfTj5IFaN7Em6ag4czCLkhT3Eyw%200vzSKogSGgXTIICmoQpmQE5Aj65hKl2z0x5TkTAiLTiBG1xgr6DmWwzDHIHzl06S/yBuoAa4YRAc%20LQmOqiwGxzkLCFkCoybpg4dqIDtExgX6AQi28+Zg894M0hlJ8s8UsqTYoR/i7RvAgApiIAYwoCyy%20gR3kUS8xssQ6SAhWoB0GgQqspBbmhJLKDzjFkkCehXlmrjbqET1n0h9OzR12Qwi4yR9Wi31sCD0p%20Qz2Tzv4A8wttM26wgQAk6CEr4Rs8Q0dUNEQNAkDbaTynTgomUwDGTspmFCHyUDn2RQCq8wS65vJm%20VANbRiJaRgj4hAbsxgKqbsR8NPhGdPi60EQpEUUJwmPuIq7ykwFKoEiLDFOoVOe8sUEGzB1K4D4b%20oElrgTkPyEyf80r/gRu86lSwwf8zMI9KLRThQotuBMBAOJFBgbMgz6o9A7MF5QFOGjITy8KUfEdT%20iohKAXTAILUIkKIG2EAyarBQSTMP26EdMtEskEAITsM/9VID/UEedsMlb0CIFqoB8mJOCeJQmStR%20T7QFKZTjzDS9NOJCwK1WE0IWvUlZhrVJnLB7UrVCrVQouYY2MxA+6+sc5/RXM+n3kPUgitUltRUq%202vJTvfVWlQ7xnlFakc9bqxJN0/U2ZDHK2HVzmOoM4dVYnFU2iy+tzDX/0JVeg+Ja+zUs8vCDAHZz%20unNeCdZW7bUZy9U9ZXJa5zFd/5UndpFd3ZVizW1OLTTreDVEx7VEc1VLW3BGmNX/NSV2ZI/UWwX2%20GoTJcMJ1LTUQYklWVRWWPRlWUUERsobVZHdnICsWOgciFL+MQVwWLDV2YpWxVj02BbO0KLd0ZHu2%20VncWaNFRZhv0Z3WFZQ9jenwUZu0Qa5FVabEUZJtWZDUosu4lN1oiOHDEAkQKQVCJ0PSCJrDDm8ol%201YDqKw8HGG/ocPzHR6jMMPxHLKDWNqS2Wg3iFKvjGxgn1iJjSpctXiiFyxCkToTAQ1rLJmliNbwJ%20asyBVofptr7BMe7FZzZLZ/Kw3arUsMJDIGhFdK2C5KAStmCLJrYKKbzpaJRTo8JhIMIBG8xwlow2%206AzicPDRHxhmiwiCAY7GQ1pi/+wo9x+UUzI4x9N6s4PMAnv1yAIOxBXSVvNspmoFjy9jc2GNT1cF%20RyEgIxVqIIdIjXcLgnNeRBYY4CJogqEsAAOG0SywowZAzEN4t6P+4ete8HUEoiMMmOMIV111Z3jZ%20EYcwYFPBRCDMoS88Lm1vIi+UEz1sIvRIDiPCgQaqCjuEBQmKQAjotie3oRaqDUcQQ3QRQynS43Sv%201mwLAh5whAZSgWGiqko7IiZkoQy+4bW8KW0uRAhoAAm4yBVcQIwmuHdxhHPoqWvzBiFI7TAwgA22%20AJW+oRZSoXGDMYotoJPcLxuaI2Ui4kJq125vIAnmIQkagA2KwBxG4B9s7xL7Iv9fRGgF6e9eo3Vf%20jVJGboQ0xuw+LGCF7yLVjpcPt4ANrCuPvIkI9koAABJOuuLbsCMRywADSiBUcqoo8KYyBjeDCNAq%20U5cgUAGVakHdjowBGOpP3ePbjooBcgMgt2GNUGQdbAiTnaaU8miTBw57CaA5rqEIpgAvssM9TjiQ%20UkM2jaZOTbmc5AXPxNQciIAGJgyREbAM2IAIhAA8jqqIsxckgqsWToAZ+teU4ISWfecudDd4lRWa%20C2IEnjSx/rAMSsBNK8w9wGNcsI1FuIH81mEKWocbCAA7WEP84AQ75IYZhCAGQK8EGOZoGIY0tKFh%2033N81xNRbfZ8L+gg8PEbqKD/BOphC2SBGRaABmoADKZAworgPtlgCpasf08ARUwkBrABI06gCOQM%20CeYBA+5ok6kgJ4v0P4qgCPSiK5JAS1JmcEZzgdGqgQ/iWQigDJLwBIqUAUAPiHbaAmCjCMjPBU7g%2082qgCBoujrHhBrpiyYAADJqAbsM6CZo0pyWqCGghBgigBlxAGxpArf0BCWqgJDYEMYhWIVA3qrcE%20wZIMFbQBA+4TiWuBCCRsCg70pw/EOU7AFd4sDqk6CWphZpCtBqTgH76aAE7ABWLam4XqBEzrnQ3W%20ZbvEAgYD104xdf6hdbagCHQarMW0yEyi9WhxzjDABdA6CYp0L4RbiArsBCSM/wakoAxYBwOqjayL%20wAUOhzmmoLEuut5odqPNN2QbcVnqYSvMZAte5QTyWnks4AT07CEx4AZaLQlmBhvcBy9sgbTgLAYY%20IHXAYI2aIIgWoAxwrQT2LhUWgH1iwDBIDmnNw3A15yBcIRtqIQZ8V7dOAMAt3MKxZAUOjQpPZJX1%20jHmibRHfpwTmDAjW+/kaTIas0NEirAj65UXi+33epwE28VlO4itTj4ZreCC2oB6Upxb8gQ2uZbUt%20XAAsoK1LwAUWYAuWBkbIr9AqCwPc58gIYAWUegFc5QTAYNcWIAk61IeoAHjrCZ55XG+V4ASogAC6%204Un3hU/MbDm0Y8CT4Bo2Uf9kqoQZ1KLtUkeiCuahBCB5rIQTH9K7xHoFavxKpGB9BIBNG4BMAxKj%20Kyko+5hpa7NsqRghwGSymCEGssGyGA0JSqAJtoABFgADgOBUWmpT7uLPHwml1+HI2KAJXNnC/eFQ%20LCB1rgEEkYAZCKDAOyJymjp86aqUDxuHBKIImKHIzHkLFkAr8JkZdD3LIXgrLAClRYsNcG0dpgnX%20UKU9kIAKLIsCiaAfLBwJFB22luaareSt+uEGmGFpvoMZqi0fKUVNDBvTDRDBVqCyrFwAXKIGmGcL%20mn3gpaDAEJyfzSF1ysAFmoANzIEKuMmaY6AMULoHwwFLUD2ISkSKwZXHCcb/9lKBGVDBAhqACvbF%20BYogBq4hdQ7tUErgG2LgBCq+Bs59QDt7AXC6XPzB0RjgSf8BCKjABazFVcg6vxcgFVBdTIp7BbDB%20td7jC/m4fPNVu1+TXwP5IL4BHjijHDCAFsyB0U3EsqQACBigCWqgHVI9BnijDLbhyEKuxrdgGyJP%20twokJZugHZQDCJqHG3a919mAGXotmEb5Iovd2BfDVAzESoDAVErmBqRAO3ZS7yZZChqgDMi+AZiB%204UVNCmYGp9R7RLR47/5jUUqLoeQyU9lnvQXq7FfABdKBK6Cv6ncC3/MdzIKRM1Cc0bkhdUyl7JsA%20CUodDgY8VIpmOWxdCnJD/wqUYwp6EA5igAYs/BqosB0mSDw7Xl6JtkY6cEWlABX+4cievwakv1Rw%20zdFAbAFc4BqkAAkqfumTINpZqR2i9N+RgBbq4uzP3drDesMBQoqLMlKQlGAm4MS1hQyu/XsIMaLE%20iRP7PdSWLZvFf/4ebqRI0V9Gix39ufq3DqTKlRu1Eci2MmZEbCrZEKklIEY3ME1cxFhBpMmgMjFK%20uGgCp4GUElNu+PO3YoW3a1uoYBBXYoWrBSWINGjQBEyRJkBqSCGyAMyNBUhSMWNjMeU/mtjq0pQZ%20U9vDkRzxQrw78du/WlRwLqjBDQkVKYml3EAipcaCJCsWMGiCBOwNGpbBxP8gKqAEhoVgpDDo901K%20kn4NqDBYESOJwgUr4KwoASeGgNtwFhSxsMBYPY8f/a7MRsCj8ZWAI3ZkU6JW5W4lFhwlQoQKEAZn%20XUgBQmNpEQbmwt2Gt4XrT22xOd+IIXYBNzDyKwsgAmS5for9CKTsV9JyzUH0zTf+dHNCE0xZF44U%20J9B3TVZH0UcEN7ERVINSSAAFWQklNHTNCgKcFkNRMTDgAjPAgeFeDDUAIVBOMbiAwTjXCOHQfiC1%20xFdf/xQnk0ga9WUSSjqCpI1F/cF0pEQDPmTSCUkUIcs/W7hwQg00yAYEEA2ccAISWzCwxRQnJJdN%20DUhkgw0GSLyEAQbr3CD/FhAWuFAEEi60c00NSdBA3gkWyEIDTNvMZNeT+5GEXEdAyvQkPBxhUAsR%20JzTAEBVgbHeCl2J+CUYNQtDQQBkZluFCYjWsU0YRRWzhDzw3pMKAPxaQ6s8NLpjAQBG13GBBDUU0%20gEEN4TQgFgNlIYHNCXJe9OiR62Skl49NPqSoPwScYKYsudLgQg0uJOECENcgUUSYXTYwBQ3miERD%20KuGYU0YtU5SXipgnMIBEDQzQAES/DfimGA3X7ocRk/1EG9OT/XTTzwhsFDFFEpjyu0UDNfTZwBbo%20goHEPDTccIO/Zew7shDoDmSrm99000ARSQCByg3EYtCAruOcsEU7agpU/wQVIc9zDQMHe6RNR/8k%20XK0/SeonJEkcnSTX0Usr+ZLVikY0wghPLQS2nWFbAPY12zC5tDY0bUOAXmf/c40FZC8UTjtzW2Du%20QskV+Q/adNl1NKPZOCpgTOGQ7U/cRG0cd9x8XmP3Qnm7sxCOZcudoz/mWMCROeY8XGs/ntMNYt7h%20hEM36tso7TTD+02bTdNHK/rRCN10tFDicaN+zekLLRz3oQ8VCJE5J/3zbtGQk5130VHllJ/VfvWT%20EXH6bQ1RrPDYKrniZXOD+Y0LUX5NGdyPD/Y/cj/lzzcjAMgR+92Yy4CNZBKh2wq2cMPNQlb7A7+l%20UQtKATRO1IhENen9SP9J1dPaRMwhGB+hpiIF/AfxDvgUiHxkYQ8Jh2Da174IWjAcE0HbXBJ1NKW9%20zVp+eZKtSHgN3X3DAv2oAec6QkILfsRpF3nIOsxxkZQ8pRsaLAkQbeUREAKwg0tsXw45Zz0FamMb%2025Dd7B4IpG88ygIeHJ6BNmKOpz1EeBcRngUAaBESQpEBX0mOAvFCPeEt8XoTscDmoDSRp5BkghCx%20gFyqBcTsQYkAQ7zjjwoEpMQp8hrzEEKcyCcOISjtYABUWj+ouJFKQo0vJUmg9OB3ydVdMSTf0IYW%20h9cRCyRNfdlDDYBaso6W+LBah0JkPywQQS3i0EDIE542qjWXE9YlhbP/xKNxsMeRb3gwhhJxBWo6%20MsOH0FA5mgRQR34JTQMFyEfdOOWPnuLNEE6SI9pYBzBdt5x+rMOcxrxWtn4kNygJ5par5BwvdVlK%20j4jwRxLhIPzm2cGI7PONIPHHOsg4Trxgj4gWfJk4+2hNNGYQfkl6yir7sUoQWhCKFoBY9rp5DXNc%20Q5n+4Ebi1uEPd5xUHP8LoDrFqMnlYHBqRpIe67DpQAMmlH3Zq1pMSFKSVUbkdhAhYuv+QcZEIVM/%20HNQR9tqXOyjx8FC3S2g//oaNq2bVH3WpIk3KWcSaOieoQ1XaL/kDzGthtKIKdFgeVULUSW6DLsGs%20y8L+lrQMZrAbenGa/zbqMTiCyuSsTVoqHkWphGtGhLB41apF7EoXMU4PWth4Rxe8QQBseAMb57Bp%20KwuYULzMtEg+tenC0NlCipiSiKj5IE79OsUqlkQJQVTSoZraF20YVbewnWJJCAkl4ckFq4YV7ES2%20Vsp+xLB3efXRU7YhKaTSdq5TxOhcz6ENcmjjHAtL69U4ErsFomSKRPxlN6p4O/PyEEo4/V8lQ3sk%20RW3DqAW6phI2QkWkMmkbtFVbKO3Kpm0szKsY9Ydsk7aN40GEjMYt6DjhqxL5WmC+AOpm/NLGXiVU%20CyMDxsY23uHhfpxjG+f4ahf6NqRyvvKXSfoIk9aRVaVm1hsNTiEnaf9aWmIqZ5QVMaZWlQrkRD32%20hHeN8VzIURckZxXJ/VByXZQAj5d5E1GAq/ExV7Lcb5BDyVftRxeEjA1y/DjIYU5Uie3qZDIDecsx%20tstLfxlLwWZQetjDbZt/zOYuJ2obTt6smssMWWx8oQv1UEKYrQxHOirULkwOcpOfnOREpdnQifLG%20mJWK3blKmrP0oAcovEFjBc5ZqkcarSdFrUEeS2TKM4wxOe6r1FeL2cNqo8k71Hbm7f7t1ZDVKpO/%20gGRSq/MvwiwuohUVwVsmDxuGRnIXrjrrQANaydROcpqd/A4QezjNSYa2m5N834rkmJJ03pFALcDo%20ayuBzcz2xjb8/I7/EvvZz+ewNJLXHeN1J5Ycz/4ComWCWiex5GXY8jazo83semTV0Aov87WVfOY2%20kznY2ND1memhWVC/gx5vHPWFdXTAHx20ilJln8lPjvKUq3zlLG+5y18O85jLfOY0r7nNb47znOt8%205zzvuc9/DvSgC33oQs/GNuLstLMR4CUZabrTnw71qEt96lSvutWvjvWsa33rXO+6178O9rCLfexk%20L7vZz472tKt97WtfehU3os6zsX3udK+73e+O97zrfe9877vf/372WEKY6IQvvOEPj/jEK37xjG+8%204x8P+Z1LhK3/rrzlL4/5zGt+85zvvOc/D/rQv1UikS+96U+P+tSrDH71rG+961l+WgAFBAA7" height="310" width="605" overflow="visible"> </image>
            </svg>
          </div>
        </div>
        <div class="fig"><span class="labelfig">FIGURE 7.&nbsp; </span><span class="textfig">Values of the angles of friction and rolling resistance of the peanut kernels (Criollo variety).</span></div>
        <p>In
          the case of friction or sliding friction (static), the highest values 
          of the friction angle were observed when the kernels slid on rubber and 
          wood surfaces with ϕ= 35,7 ± 0,10 and ϕ= 22,9 ± 0,12 degree, 
          respectively. On both surfaces the values were significantly higher (<span class="tooltip"><a href="#t3">Table 3</a></span>),
          compared to aluminum and stainless steel, respectively ϕ= 35,3 ± 0,075 
          and ϕ= 22,9 ± 0,075 degree, respectively. These results agree with the 
          results obtained by several researchers (<span class="tooltip"><a href="#B15">Olajidea y Igbekab, 2003</a><span class="tooltip-content">OLAJIDEA, J. O.; IGBEKAB, J. C.: "Some physical properties of groundnut kernels", <i>Journal of Food Engineering</i>, ISSN 0260-8774, 58(2): 201 - 204, 2003.</span></span>; <span class="tooltip"><a href="#B1">Akcali <i>et al.</i>, 2006</a><span class="tooltip-content">AKCALI, I. D.; INCE, A.; GUZEL, E.: "Selected Physical Properties of Peanuts", <i>International Journal of Food Properties</i>, ISSN: 1094-2912, 9(1): 25-37, 2006.</span></span>; <span class="tooltip"><a href="#B10">Iraj <i>et al.</i>, 2011</a><span class="tooltip-content">IRAJ,
          B.; SAYED, H. P.; FATEMEH, R.-A.: "Mechanical behavior of peanut kernel
          under compression loading as a function of moisture contents", <i>Elixir Agriculture</i>, ISSN 2229-712X, 36: 3552-3557, 2011.</span></span>).</p>
        <p>The
          recorded values for stainless steel surfaces and aluminum did not show 
          statistically significant differences for 95% confidence level. The 
          magnitude of the observed values agrees with those found by other 
          authors for other peanut varieties (<span class="tooltip"><a href="#B1">Akcali <i>et al.</i>, 2006</a><span class="tooltip-content">AKCALI, I. D.; INCE, A.; GUZEL, E.: "Selected Physical Properties of Peanuts", <i>International Journal of Food Properties</i>, ISSN: 1094-2912, 9(1): 25-37, 2006.</span></span>; <span class="tooltip"><a href="#B10">Iraj <i>et al.</i>, 2011</a><span class="tooltip-content">IRAJ,
          B.; SAYED, H. P.; FATEMEH, R.-A.: "Mechanical behavior of peanut kernel
          under compression loading as a function of moisture contents", <i>Elixir Agriculture</i>, ISSN 2229-712X, 36: 3552-3557, 2011.</span></span>; <span class="tooltip"><a href="#B12">KURT &amp;ARIOGLU, 2018</a><span class="tooltip-content">KURT, C.; ARIOGLU, H.: "Physical and mechanical properties of some peanut varieties grown in Mediterranean environment", <i>Sciendo</i>, e-ISSN 2067-1865, Vol. LI(2): 27-34, 2018.</span></span>). Although the values obtained for wood were lower than those reported by <span class="tooltip"><a href="#B15">Olajidea y Igbekab (2003)</a><span class="tooltip-content">OLAJIDEA, J. O.; IGBEKAB, J. C.: "Some physical properties of groundnut kernels", <i>Journal of Food Engineering</i>, ISSN 0260-8774, 58(2): 201 - 204, 2003.</span></span>; <span class="tooltip"><a href="#B1">Akcali <i>et al.</i> (2006)</a><span class="tooltip-content">AKCALI, I. D.; INCE, A.; GUZEL, E.: "Selected Physical Properties of Peanuts", <i>International Journal of Food Properties</i>, ISSN: 1094-2912, 9(1): 25-37, 2006.</span></span> as in these cases they found values from 24 to 26 degree.</p>
        <div class="table" id="t3"><span class="labelfig">TABLE 3.&nbsp; </span><span class="textfig">Multiple Range Tests. Method: 95.0 Duncan percentage</span></div>
        <div class="contenedor">
          <div class="outer-centrado">
            <div style="max-width: 1160px;" class="inner-centrado">
              <table>
                <colgroup>
                <col>
                <col>
                <col>
                <col>
                </colgroup>
                <thead>
                  <tr>
                    <th align="left"> </th>
                    <th align="center">Cases</th>
                    <th align="center"><i>Mean</i></th>
                    <th align="center">Homogeneous groups</th>
                  </tr>
                </thead>
                <tbody>
                  <tr>
                    <td align="left">α<sub>d</sub> - Stainless Steel</td>
                    <td align="center">50</td>
                    <td align="center">8,39</td>
                    <td align="center">X</td>
                  </tr>
                  <tr>
                    <td align="left">α<sub>d</sub> - Aluminum</td>
                    <td align="center">50</td>
                    <td align="center">8,4</td>
                    <td align="center">X</td>
                  </tr>
                  <tr>
                    <td align="left">α - Aluminum</td>
                    <td align="center">50</td>
                    <td align="center">9,72</td>
                    <td align="center">X</td>
                  </tr>
                  <tr>
                    <td align="left">α - Stainless Steel</td>
                    <td align="center">50</td>
                    <td align="center">9,72</td>
                    <td align="center">X</td>
                  </tr>
                  <tr>
                    <td align="left">ϕ<sub>d</sub> - Aluminum</td>
                    <td align="center">50</td>
                    <td align="center">13,51</td>
                    <td align="center">X</td>
                  </tr>
                  <tr>
                    <td align="left">ϕ<sub>d</sub> - Stainless Steel</td>
                    <td align="center">50</td>
                    <td align="center">13,54</td>
                    <td align="center">X</td>
                  </tr>
                  <tr>
                    <td align="left">ϕ - Aluminum</td>
                    <td align="center">50</td>
                    <td align="center">14,72</td>
                    <td align="center">X</td>
                  </tr>
                  <tr>
                    <td align="left">ϕ- Stainless Steel</td>
                    <td align="center">50</td>
                    <td align="center">14,73</td>
                    <td align="center">X</td>
                  </tr>
                  <tr>
                    <td align="left">α<sub>d</sub> - Wood</td>
                    <td align="center">50</td>
                    <td align="center">16,48</td>
                    <td align="center">X</td>
                  </tr>
                  <tr>
                    <td align="left">α - Wood</td>
                    <td align="center">50</td>
                    <td align="center">19,97</td>
                    <td align="center">X</td>
                  </tr>
                  <tr>
                    <td align="left">ϕ<sub>d</sub> - Wood</td>
                    <td align="center">50</td>
                    <td align="center">20,64</td>
                    <td align="center">X</td>
                  </tr>
                  <tr>
                    <td align="left">ϕ - Wood</td>
                    <td align="center">50</td>
                    <td align="center">22,93</td>
                    <td align="center">X</td>
                  </tr>
                  <tr>
                    <td align="left">α<sub>d</sub> - Rubber</td>
                    <td align="center">50</td>
                    <td align="center">24,41</td>
                    <td align="center">X</td>
                  </tr>
                  <tr>
                    <td align="left">α - Rubber</td>
                    <td align="center">50</td>
                    <td align="center">25,98</td>
                    <td align="center">X</td>
                  </tr>
                  <tr>
                    <td align="left">ϕ<sub>d</sub> - Rubber</td>
                    <td align="center">50</td>
                    <td align="center">31,44</td>
                    <td align="center">X</td>
                  </tr>
                  <tr>
                    <td align="left">ϕ - Rubber</td>
                    <td align="center">50</td>
                    <td align="center">35,73</td>
                    <td align="center">X</td>
                  </tr>
                </tbody>
              </table>
            </div>
          </div>
        </div>
        <div class="clear"></div>
        <p>This same behavior was observed (<span class="tooltip"><a href="#f7">Figure 7</a></span>) during the determination of the dynamic friction angle (ϕ<sub>d</sub>), since the values shown varied from ϕ<sub>d</sub> =13,51 ± 0,07 degree (aluminum surface) to ϕ<sub>d</sub> =31,44 ± 0,13 degree (rubber surface). In this case, the dynamic 
          friction angle values observed were slightly higher on the aluminum 
          surface than on the stainless-steel surface, although this difference 
          was not statistically significant at the 95% confidence level (<span class="tooltip"><a href="#t3">Table 3</a></span>). Similar results were found by <span class="tooltip"><a href="#B13">López (2015)</a><span class="tooltip-content">LÓPEZ, A.: <i>Determinación
          de las propiedades físico-mecánicas de los rizomas de Sagú (Maranta 
          Arundinacea, L) requeridas para el diseño de las máquinas extractoras de
          almidón</i>, 71pp., Tesis (en opción al título académico de Máster en 
          Ing. Agrícola), Departamento de Ing. Agrícola, Universidad Central de 
          Las Villas, Santa Clara, Cuba, 2015.</span></span> during the determination of the mechanical properties of Sago.</p>
        <p>The
          results of the static rolling angle determination showed higher values 
          (α=25,98 ± 0,11 degree) for the rubber surface compared to the rest of 
          the investigated surfaces (<span class="tooltip"><a href="#f7">Figure 7</a></span>),
          the lowest values were observed (α=9,72 ± 0,09) for the stainless steel
          and aluminum surfaces. The comparison between the rolling angles 
          observed on each of the surfaces ratified that there are statistically 
          significant differences between the values recorded on the surfaces 
          analyzed, except for the stainless steel and aluminum surfaces which 
          showed the same values (<span class="tooltip"><a href="#t3">Table 3</a></span>).</p>
        <p>Finally, the dynamic rolling angle (α<sub>d</sub>) showed a similar response to the rest of the variables analyzed for each of the surfaces (<span class="tooltip"><a href="#f7">Figure 7</a></span>), since the maximum values were observed on the rubber surface α<sub>d</sub> =24,41 ± 0,08 degree and the smallest for the stainless steel surface α<sub>d</sub> =8,39 ± 0,11 degree. Statistical analysis showed that there are no 
          statistically significant differences between the observed values of 
          this angle on stainless steel and aluminum surfaces for a 95% confidence
          level (<span class="tooltip"><a href="#t3">Table 3</a></span>). 
          However, these values have statistically significant differences with 
          those observed on wood and rubber surfaces, respectively. </p>
      </article>
    </article>
    <article class="section"><a id="id0x1f5fe80"><!-- named anchor --></a>
      <h3>CONCLUSIONS</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <p>The
        physical properties of Criolla peanut kernels, which characterize their
        size, shape and mass, showed that for the peanut variety investigated 
        the most probable values are: m=0,26 to 0,6 g; L=10 to 15 mm; d=5,50 to 
        9,1 mm.</p>
      <p>Both, the angle of friction due to sliding and rolling 
        without sliding showed the highest values for the static cases, compared
        to the dynamic ones, regardless of the type of sliding or rolling 
        surface.</p>
      <p>The stainless steel and aluminum sliding surfaces showed 
        the lowest values of the static and dynamic friction angle (ϕ=14,731 ± 
        0,07 and ϕ<sub>d</sub> =13,51 ± 0,07 degree). The maximum values of 
        these angles were observed during the use of the rubber surface with ϕ= 
        35,73 ± 0,10 and ϕ<sub>d</sub>= 31,44 ± 0,13.</p>
      <p>The static and 
        dynamic rolling angle of the grains exhibited a response similar to that
        observed in the friction angle in each of the investigated rolling 
        surfaces, reaching maximum values in the rubber surface (α=25,98 ± 0,11 
        and α<sub>d</sub>=24,41 ± 0,08 degree) and minimum values on the stainless steel surface (α<sub>d</sub>=8,39 ± 0,11and α<sub>d</sub> =9,72 ± 0,09) degree.</p>
    </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">AKCALI, I. D.; INCE, A.; GUZEL, E.: "Selected Physical Properties of Peanuts", <i>International Journal of Food Properties</i>, ISSN: 1094-2912, 9(1): 25-37, 2006.</p>
      <p id="B2">AYALA, T. C. L.: <i>Estudio
        de prefactibilidad para la producción y comercialización de maní 
        (Arachis hypogaea L) en el cantón Jipijapa, provincia de Manabí</i>, 
        69pp., Tesis (en opción al título de Ingeniero Agroempresas), Colegio de
        Agricultura, alimentos y nutrición, Universidad San Francisco de Quito,
        Ecuador, 2009.</p>
      <p id="B3">BARROS, C. J. C.: <i>Comportamiento agronómico de tres variedades de maní (Arachís hipogaea l.) en el cantón Quinsaloma</i>,
        78pp., Tesis (en opción al titulo de Ing. Agropecuario), Unidad de 
        Estudios a Distancia. Carrera Agropecuaria, Universidad Técnica de 
        Quevedo (UTEQ), Quevedo, Ecuador, 2015.</p>
      <p id="B4">BLENGINO, C.: <i>Maní,</i> Organización de las Naciones Unidas para la Alimentación y la Agricultura, 2, 2015.</p>
      <p id="B5">FAOSTAT: <i>Cultivos.
        Producción/Rendimiento de Manís (cacahuete) con cáscara en América del 
        Sur + (Total) 1994 - 2016, [en línea] 2017, Disponible en:</i><a href="http://www.fao.org/faostat/es/#data/QC/visualize" target="xrefwindow">http://www.fao.org/faostat/es/#data/QC/visualize</a><i>[Consulta: agosto, 2018].</i></p>
      <p id="B6">GOJIYA, D.; DOBARIYA, U.; PANDYA, P.; GOJIYA, K.: "Studies on Physical and Engineering Characteristics of Peanut Kernel", <i>International Journal of Nutritional Science and Food Technology</i>, ISSN 2471-7371, 6(2): 22-27, 2020.</p>
      <p id="B7">GUAMÁN, R.; ELLAURY, R. J.: <i>Maní. Guía de cultivo para las zonas de Loja y el Oro,</i> Boletín divulgativo, 314, Guayaquil, 2004.</p>
      <p id="B8">INIAP: <i>INIAP-380. Nueva variedad de Maní de alto potencial</i>. <i>En:</i> INIAP (ed.) Estación Experimental, Boliche. Ecuador, Vol. pp. 5, 1996.</p>
      <p id="B9">INIAP: <i>INIAP-381. Nueva variedad de Maní precoz para zonas semisecas</i>. <i>En:</i> INIAP (ed.) INIAP: Estación Experimental Boliche, Ecuador, Vol. pp. 10, 2012.</p>
      <p id="B10">IRAJ,
        B.; SAYED, H. P.; FATEMEH, R.-A.: "Mechanical behavior of peanut kernel
        under compression loading as a function of moisture contents", <i>Elixir Agriculture</i>, ISSN 2229-712X, 36: 3552-3557, 2011.</p>
      <p id="B11">IVAD: <i>Producción actual de maní en Ecuador, rendimientos, y comercialización, [en línea] Disponible en:</i><a href="http://ivad1991.blogspot.com/2015/07/produccion-actual-de-mani-en-ecuador.html" target="xrefwindow">http://ivad1991.blogspot.com/2015/07/produccion-actual-de-mani-en-ecuador.html</a>. <i>[Consulta: 3 de marzo].</i></p>
      <p id="B12">KURT, C.; ARIOGLU, H.: "Physical and mechanical properties of some peanut varieties grown in Mediterranean environment", <i>Sciendo</i>, e-ISSN 2067-1865, Vol. LI(2): 27-34, 2018.</p>
      <p id="B13">LÓPEZ, A.: <i>Determinación
        de las propiedades físico-mecánicas de los rizomas de Sagú (Maranta 
        Arundinacea, L) requeridas para el diseño de las máquinas extractoras de
        almidón</i>, 71pp., Tesis (en opción al título académico de Máster en 
        Ing. Agrícola), Departamento de Ing. Agrícola, Universidad Central de 
        Las Villas, Santa Clara, Cuba, 2015.</p>
      <p id="B14">MECALUX: <i>Clasificadora y seleccionadora de granos y semillas (Bec-Car), [en línea] Disponible en:</i><a href="https://www.logismarket.com.ar/bec-car/clasificadora-y-seleccionadora-de-granos-y-semillas/2682380584-1224556107-p.html" target="xrefwindow">https://www.logismarket.com.ar/bec-car/clasificadora-y-seleccionadora-de-granos-y-semillas/2682380584-1224556107-p.html</a><i>[Consulta: 15 de enero de 2017].</i></p>
      <p id="B15">OLAJIDEA, J. O.; IGBEKAB, J. C.: "Some physical properties of groundnut kernels", <i>Journal of Food Engineering</i>, ISSN 0260-8774, 58(2): 201 - 204, 2003.</p>
      <p id="B16">OSPINA, M. J. E.: <i>Características físico mecánicas y análisis de calidad de granos,</i> edit. Universidad Nacional de Colombia, pp. 101, ISBN: 958-701-182-1, Bogotá, Colombia, 2002.</p>
      <p id="B17">SARMIENTO, C. L. M.: <i>Evaluación Agronómica de un cultivar de maní (Arachys hipogaea L.) tipo Valencia, en el Valle de Casanga, Provincia de Loja</i>,
        126pp., Tesis (en opción al grado previo a la obtención del Título de 
        Ing. Agronomo), Area de Agropecuaria y Recursos Naturales y Renovables, 
        Universidad Nacional de Loja, Loja, Ecuador, 2013.</p>
      <p id="B18">ZAMBRANO CASANOVA, D. E.: <i>Propiedades físico mecánicas de los granos de maní (Arachis hypogaea L.) Que intervienen en la clasificación gravimétrica</i>,
        76pp., Tesis (para optar por al grado de Magister en Ing. Agrícola), 
        Instituto de Postgrado, Universidad Técnica de Manabí, Manabí, Ecuador, 
        2018.</p>
      <p id="B19">ZAPATA, N.; VARGAS, M.; VERA, F.: "Crecimiento y 
        productividad de dos genotipos de maní (Arachis hypogaea L.) según 
        densidad poblacional establecidos en Ñuble, Chile", <i>Idesia (Arica)</i>, ISSN 0718-3429, 30: 47-54, 2012.</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 ORIGINAL</b></div>
  <h1>Propiedades físico-mecánicas del maní (Arachis Hypogaea L.) para el diseño de superficies planas de clasificación</h1>
  <div>&nbsp;</div>
  <div>
    <p><sup><a href="https://orcid.org/0000-0003-4567-5872" rel="license"><span class="orcid">iD</span></a></sup>Miguel Herrera-Suárez<span class="tooltip"><a href="#aff1"><sup>I</sup></a><span class="tooltip-content"> Universidad Técnica de Manabí, Portoviejo, Manabí, Ecuador.</span></span><span class="tooltip"><a href="#c1"><sup>*</sup></a><span class="tooltip-content">✉:<a href="mailto:miguelhs2000@yahoo.com">miguelhs2000@yahoo.com</a></span></span></p>
    <p><sup><a href="https://orcid.org/0000-0002-7686-3684" rel="license"><span class="orcid">iD</span></a></sup>Richard Xavier Cevallos-Mera<span class="tooltip"><a href="#aff1"><sup>I</sup></a><span class="tooltip-content"> Universidad Técnica de Manabí, Portoviejo, Manabí, Ecuador.</span></span></p>
    <p><sup><a href="https://orcid.org/0000-0002-8981-8647" rel="license"><span class="orcid">iD</span></a></sup>Paúl John Lucas-Meza<span class="tooltip"><a href="#aff1"><sup>I</sup></a><span class="tooltip-content"> Universidad Técnica de Manabí, Portoviejo, Manabí, Ecuador.</span></span></p>
    <p><sup><a href="https://orcid.org/0000-0002-1762-3365" rel="license"><span class="orcid">iD</span></a></sup>Cristian Andrés Sornoza-Solórzano<span class="tooltip"><a href="#aff1"><sup>I</sup></a><span class="tooltip-content"> Universidad Técnica de Manabí, Portoviejo, Manabí, Ecuador.</span></span></p>
    <p><sup><a href="https://orcid.org/0000-0001-8302-4056" rel="license"><span class="orcid">iD</span></a></sup>Carlos Arturo Montes-Rodríguez<span class="tooltip"><a href="#aff1"><sup>I</sup></a><span class="tooltip-content"> Universidad Técnica de Manabí, Portoviejo, Manabí, Ecuador.</span></span></p>
    <p>Omar González-Cueto<span class="tooltip"><a href="#aff2"><sup>II</sup></a><span class="tooltip-content"> Universidad Central “Marta Abreu de Las Villas”, Santa Clara, Villa Clara, Cuba.</span></span></p>
    <br>
    <p id="aff3"><span class="aff"><sup>1</sup>Universidad Técnica de Manabí, Portoviejo, Manabí, Ecuador.</span></p>
    <p id="aff4"><span class="aff"><sup>2</sup>Universidad Central “Marta Abreu de Las Villas”, Santa Clara, Villa Clara, Cuba.</span></p>
  </div>
  <div>&nbsp;</div>
  <p id="c2"> <sup>*</sup>Autor para correspondencia: Miguel Herrera-Suárez, e-mail: <a href="mailto:miguelhs2000@yahoo.com">miguelhs2000@yahoo.com</a>.</p>
  <div class="titleabstract | box">RESUMEN</div>
  <div class="box1">
    <p>El
      presente trabajo tiene como objetivo determinar las propiedades 
      físico-mecánicas de los granos de maní de la variedad Criollo, 
      requeridas para el diseño de las máquinas de clasificación gravimétrica.
      Para el cumplimiento del objetivo se determinaron las propiedades 
      físico-mecánicas de los granos de maní de la variedad (Criollo) más 
      cosechada en la Provincia Manabí-Ecuador. Como propiedades físicas se 
      determinaron las dimensiones de los granos, el diámetro ecuatorial, 
      además del peso específico y volumétrico. Dentro de las propiedades 
      mecánicas se determinaron los ángulos de fricción y de rodadura 
      (estático y dinámico) en cuatro tipos de superficies (acero al carbono, 
      acero inoxidable, madera, y goma). Los resultados permitieron determinar
      las dimensiones de los granos de maní m=0,26 a 0,6 g; L=10 a 15 mm; 
      d=5,50 a 9,1 mm, se evidenció demás que el ángulo de fricción y el de 
      rodadura fueron mayores en los casos estáticos en todas las superficies 
      investigadas. Las de acero inoxidable y aluminio fueron las que 
      mostraron los valores más bajos de los coeficientes de fricción estático
      y dinámico (ϕ=14,7 ± 0,07 y ϕ<sub>d</sub>=13,5 ± 0,07 grado). Los máximos valores se observaron en la superficie de caucho con ϕ = 35,7 ± 0,10 y ϕ<sub>d</sub>=
      31,4 ± 0,13. El coeficiente de resistencia a la rodadura estático y 
      dinámico mostró un comportamiento similar al observado en el ángulo de 
      fricción, alcanzando valores máximos en la superficie de caucho (α=26,0 ±
      0,11y α<sub>d</sub>=24,4 ± 0,08 grado).</p>
    <div class="titlekwd"><b> <i>Palabras clave:</i> </b>&nbsp; </div>
    <div class="kwd">Clasificación, gravimetría, propiedades físicas, Propiedades mecánicas, postcosecha</div>
  </div>
</div>
<div class="box2" id="s1-body">
  <section>
    <article class="section"><a id="id0xbc99a00"><!-- named anchor --></a>
      <h3>INTRODUCCIÓN</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <p>El maní o cacahuate (<i>Arachis hypogaea L</i>)
        es una de las leguminosas más nutritivas e importantes a nivel mundial,
        contribuyendo al desarrollo agrícola e industrial de los países donde 
        se cultiva, especialmente de las naciones subdesarrolladas (<span class="tooltip"><a href="#B7">Guamán y Ellaury, 2004</a><span class="tooltip-content">GUAMÁN, R.; ELLAURY, R. J.: <i>Maní. Guía de cultivo para las zonas de Loja y el Oro,</i> Boletín divulgativo, 314, Guayaquil, 2004.</span></span>).</p>
      <p>Los
        altos contenidos de aceite, proteínas, vitaminas y minerales convierten
        a este cultivo en una excelente fuente alimenticia, tanto humana como 
        animal, razón por la cual es altamente demandado por la industria de 
        dulces y confituras. Los granos pueden ser consumidos crudos, tostados y
        de estos se puede fabricar mantequilla y aceite de alto valor nutritivo
        y utilitario para la industria (<span class="tooltip"><a href="#B2">Ayala, 2009</a><span class="tooltip-content">AYALA, T. C. L.: <i>Estudio
        de prefactibilidad para la producción y comercialización de maní 
        (Arachis hypogaea L) en el cantón Jipijapa, provincia de Manabí</i>, 
        69pp., Tesis (en opción al título de Ingeniero Agroempresas), Colegio de
        Agricultura, alimentos y nutrición, Universidad San Francisco de Quito,
        Ecuador, 2009.</span></span>). </p>
      <p>El maní por su naturaleza vegetal
        es una excelente fuente alimenticia, teniendo múltiples usos en la 
        alimentación humana y animal, así mismo contribuye con el 30% de 
        proteínas y 50% de grasas insaturadas que disminuyen el colesterol; 
        además de ser muy rico en vitamina E y aportar minerales como sodio; 
        potasio; hierro; magnesio; yodo; cobre; calcio (<span class="tooltip"><a href="#B2">Ayala, 2009</a><span class="tooltip-content">AYALA, T. C. L.: <i>Estudio
        de prefactibilidad para la producción y comercialización de maní 
        (Arachis hypogaea L) en el cantón Jipijapa, provincia de Manabí</i>, 
        69pp., Tesis (en opción al título de Ingeniero Agroempresas), Colegio de
        Agricultura, alimentos y nutrición, Universidad San Francisco de Quito,
        Ecuador, 2009.</span></span>). Existen algunos expertos en nutrición 
        que le atribuyen al maní benéficos para la salud cardiovascular y el 
        funcionamiento del cerebro y ello radica en su composición al contar con
        ácido oleico y linoleico (<span class="tooltip"><a href="#B2">Ayala, 2009</a><span class="tooltip-content">AYALA, T. C. L.: <i>Estudio
        de prefactibilidad para la producción y comercialización de maní 
        (Arachis hypogaea L) en el cantón Jipijapa, provincia de Manabí</i>, 
        69pp., Tesis (en opción al título de Ingeniero Agroempresas), Colegio de
        Agricultura, alimentos y nutrición, Universidad San Francisco de Quito,
        Ecuador, 2009.</span></span>).</p>
      <p>Según las estadísticas por la región de América Latina (<span class="tooltip"><a href="#B5">FAOSTAT, 2018</a><span class="tooltip-content">FAOSTAT: <i>Cultivos.
        Producción/Rendimiento de Manís (cacahuete) con cáscara en América del 
        Sur + (Total) 1994 - 2016, [en línea] 2017, Disponible en:</i><a href="http://www.fao.org/faostat/es/#data/QC/visualize" target="xrefwindow">http://www.fao.org/faostat/es/#data/QC/visualize</a><i>[Consulta: agosto, 2018].</i></span></span>),
        Argentina se ha consolidado como uno de los principales productores de 
        maní con cáscara en el mundo, luego de China, India, Nigeria y Estados 
        Unidos. La producción mundial de maní con cáscara oscila alrededor de 
        las 45 654 t y es liderada por China (37% de la producción total) con 
        alrededor de 17 000 t, seguida por India (20% del total) con alrededor 
        de 9 000 t (<span class="tooltip"><a href="#B4">Blengino, 2015</a><span class="tooltip-content">BLENGINO, C.: <i>Maní,</i> Organización de las Naciones Unidas para la Alimentación y la Agricultura, 2, 2015.</span></span>).</p>
      <p>En
        el ámbito mundial China, ha conseguido posicionarse como primer 
        productor y exportador de maní en el mundo, aprovechando sus ventajas en
        términos de condiciones de suelos y zonas productivas, rendimientos y 
        mano de obra. Lo que le permite competir con precios muy por debajo del 
        promedio en el mercado. Sin embargo, no se ha avanzado en tecnología y 
        calidad como si se hizo en otros países (<span class="tooltip"><a href="#B4">Blengino, 2015</a><span class="tooltip-content">BLENGINO, C.: <i>Maní,</i> Organización de las Naciones Unidas para la Alimentación y la Agricultura, 2, 2015.</span></span>).</p>
      <p>En
        Ecuador el cultivo del maní es tradicional en las zonas productivas 
        ubicadas en las provincias de Manabí, Loja, El Oro y Guayas. Actualmente
        se cultivan entre 12 000 y 15 000 ha, con un rendimiento promedio de 
        700 kg/ha de maní en cáscara (<span class="tooltip"><a href="#B2">Ayala, 2009</a><span class="tooltip-content">AYALA, T. C. L.: <i>Estudio
        de prefactibilidad para la producción y comercialización de maní 
        (Arachis hypogaea L) en el cantón Jipijapa, provincia de Manabí</i>, 
        69pp., Tesis (en opción al título de Ingeniero Agroempresas), Colegio de
        Agricultura, alimentos y nutrición, Universidad San Francisco de Quito,
        Ecuador, 2009.</span></span>).</p>
      <p>Aunque en Ecuador el cultivo de 
        maní se ha convertido en un tipo de actividad familiar, la producción 
        promedio anual se mantiene aproximadamente en 591-909 kg/ha, aunque ello
        no cubre las necesidades de consumo interno que son de un promedio de 
        1150kg/ha, es decir, se producen 225t/año, con un marcado déficit para 
        las industrias del aceite, la grasa vegetal y confitería de 450kg/ha.</p>
      <p>A nivel mundial para los genotipos Español y Virginia respectivamente, el rendimiento es de 2 031 y 1 932 kg/ha (<span class="tooltip"><a href="#B19">Zapata <i>et al.</i>, 2012</a><span class="tooltip-content">ZAPATA,
        N.; VARGAS, M.; VERA, F.: "Crecimiento y productividad de dos genotipos
        de maní (Arachis hypogaea L.) según densidad poblacional establecidos 
        en Ñuble, Chile", <i>Idesia (Arica)</i>, ISSN 0718-3429, 30: 47-54, 2012.</span></span>). La baja productividad mostrada en el cultivo del maní en Ecuador se debe básicamente a la falta de variedades mejoradas (<span class="tooltip"><a href="#B11">Ivad, 2015</a><span class="tooltip-content">IVAD: <i>Producción actual de maní en Ecuador, rendimientos, y comercialización, [en línea] Disponible en:</i><a href="http://ivad1991.blogspot.com/2015/07/produccion-actual-de-mani-en-ecuador.html" target="xrefwindow">http://ivad1991.blogspot.com/2015/07/produccion-actual-de-mani-en-ecuador.html</a>. <i>[Consulta: 3 de marzo].</i></span></span>).</p>
      <p>En
        la provincia de Manabí, históricamente las plantaciones de este cultivo
        se concentran en los cantones Portoviejo, Tosagua, Chone, 24 de mayo y 
        parte de Rocafuerte. En la misma se plantan 9 000 ha, de estas, el mayor
        volumen de producción se concentra en la parroquia Calderón, al noreste
        de Portoviejo. Ahí se desarrolla el 40% de los cultivos manabitas (<span class="tooltip"><a href="#B18">Zambrano Casanova, 2018</a><span class="tooltip-content">ZAMBRANO CASANOVA, D. E.: <i>Propiedades físico mecánicas de los granos de maní (Arachis hypogaea L.) Que intervienen en la clasificación gravimétrica</i>,
        76pp., Tesis (para optar por al grado de Magister en Ing. Agrícola), 
        Instituto de Postgrado, Universidad Técnica de Manabí, Manabí, Ecuador, 
        2018.</span></span>).</p>
      <p>En esta zona se cultivan cuatro variedades 
        de maní, siendo: INIAP 380; Charapoto o Criollo; Caramelo o 382; y el 
        Rosita o 381. La variedad Criollo o Charapoto es la que mayor área de 
        siembra abarca, pues presenta la mayor resistencia a las enfermedades y 
        buena adaptabilidad a los rigores del clima que se experimentan en el 
        territorio, aunque los rendimientos que pueden ser significativos si se 
        aplican las prácticas agrícolas adecuadas (<span class="tooltip"><a href="#B3">Barros, 2015</a><span class="tooltip-content">BARROS, C. J. C.: <i>Comportamiento agronómico de tres variedades de maní (Arachís hipogaea l.) en el cantón Quinsaloma</i>,
        78pp., Tesis (en opción al titulo de Ing. Agropecuario), Unidad de 
        Estudios a Distancia. Carrera Agropecuaria, Universidad Técnica de 
        Quevedo (UTEQ), Quevedo, Ecuador, 2015.</span></span>).</p>
      <p>El 
        departamento de fomento productivo del Gobierno Provincial de Manabí, 
        desarrolla varios proyectos para el mejoramiento de la producción del 
        maní y el desarrollo de la agroindustria de este sector, así como 
        apoyando nuevos emprendimientos que servirán como eje de desarrollo para
        la provincia. Dentro de este accionar se ha definido la existencia de 
        una problemática relacionada con la selección y clasificación de los 
        granos de maní, pues la misma atenta contra la calidad final del 
        producto.</p>
      <p>En Ecuador, a saber, las máquinas que se utilizan para 
        la clasificación del grano de maní tienen como principio de trabajo el 
        cribado o selección por calibres, de esa manera se separan los granos de
        maní según su tamaño. Esto trae como consecuencia que granos que son 
        del mismo tamaño, pero que al momento de ser pesados no tienen la misma 
        masa, mostrando diferencias de peso de hasta el 15%, problemática que 
        obliga a que, en el proceso de beneficio del maní, sea necesario 
        utilizar una clasificadora que su principio de funcionamiento o 
        separación se base a la masa de los granos (diferencia de masa).</p>
      <p>A
        nivel internacional se han desarrollado máquinas de este tipo, a muchas
        de estas se les conoce como clasificadoras gravimétricas o 
        densimétricas, las mismas garantizan una mayor uniformidad en la masa de
        los granos.</p>
      <p>Actualmente en el Ecuador este tipo de máquinas no se
        fabrican y su importación resulta costosa (MECALUX, 2016), con precios 
        que pueden oscilar entre los 12 000,00 y 15 000,00 USD, por lo que 
        resulta conveniente su desarrollo local. </p>
      <p>Como un paso previo al 
        diseño de estas máquinas se requiere la determinación de las propiedades
        físico-mecánicas de los granos de maní. Tomando en cuenta estos 
        aspectos, así como que la variedad Criollo o Charapoto es la más 
        cultivada en la provincia Manabí, se decide realizar el presente trabajo
        que tiene como objetivo determinar las propiedades físico-mecánicas de 
        los granos de maní de la variedad Criollo, requeridas para el diseño de 
        las máquinas de clasificación gravimétrica.</p>
    </article>
    <article class="section"><a id="id0xbc9db00"><!-- named anchor --></a>
      <h3>MATERIALES Y MÉTODOS</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <p>La
        investigación experimental se realizó en las condiciones controladas de
        los laboratorios de física del Instituto de Ciencias Básicas (ICB) de 
        la Universidad Técnica de Manabí.</p>
      <p>Se muestra el programa de las investigaciones experimentales (<span class="tooltip"><a href="#t4">Tabla 1</a></span>),
        donde se establecen el objeto de estudio, orden de ejecución, los 
        aspectos analizados y el lugar de realización de cada tarea. Las mismas 
        se realizaron en el período comprendido en el año 2017, primer semestre.</p>
      <div class="table" id="t4"><span class="labelfig">TABLA 1.&nbsp; </span><span class="textfig">Programa de las investigaciones experimentales</span></div>
      <div class="contenedor">
        <div class="outer-centrado">
          <div style="max-width: 1160px;" class="inner-centrado">
            <table>
              <colgroup>
              <col>
              <col>
              <col>
              <col>
              </colgroup>
              <thead>
                <tr>
                  <th align="center">Tarea</th>
                  <th align="center">Objeto de estudio</th>
                  <th align="center">Aspectos a analizar</th>
                  <th align="center">Lugar</th>
                </tr>
              </thead>
              <tbody>
                <tr>
                  <td align="center">1</td>
                  <td align="left">Propiedades físicas de los granos de maní</td>
                  <td align="left"><div class="list"><a id="id0xbc9ff80"><!-- named anchor --></a>
                      <ul>
                        <li>
                          <p>Longitud</p>
                        </li>
                        <li>
                          <p>Masa</p>
                        </li>
                        <li>
                          <p>Diámetro ecuatorial</p>
                        </li>
                      </ul>
                    </div></td>
                  <td align="center">Laboratorio Instituto de Investigaciones Universidad técnica de Manabí</td>
                </tr>
                <tr>
                  <td align="center">2</td>
                  <td align="left">Propiedades mecánicas de los granos de maní</td>
                  <td align="left"><div class="list"><a id="id0xbca1280"><!-- named anchor --></a>
                      <ul>
                        <li>
                          <p>Coeficiente de fricción estático </p>
                        </li>
                        <li>
                          <p>Coeficiente de fricción dinámico</p>
                        </li>
                        <li>
                          <p>Coeficiente de resistencia a la rodadura estático</p>
                        </li>
                        <li>
                          <p>Coeficiente de resistencia a la rodadura dinámico</p>
                        </li>
                      </ul>
                    </div></td>
                  <td align="center">Laboratorio de física del Instituto de Ciencias Básicas, Universidad Técnica de Manabí</td>
                </tr>
              </tbody>
            </table>
          </div>
        </div>
      </div>
      <div class="clear"></div>
      <article class="section"><a id="id0xbca3600"><!-- named anchor --></a>
        <h4>Metodología para determinar las propiedades físicas de los granos de maní (Arachis Hypogea)</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <p>Las
          propiedades físicas de los granos de maní investigadas fueron: 
          longitud; diámetro ecuatorial; y la masa del maní. Las mismas concuerdan
          con las propiedades propuestas por <span class="tooltip"><a href="#B12">KURT y ARIOGLU (2018)</a><span class="tooltip-content">KURT, C.; ARIOGLU, H.: "Physical and mechanical properties of some peanut varieties grown in Mediterranean environment", <i>Sciendo</i>, e-ISSN 2067-1865, Vol. LI(2): 27-34, 2018.</span></span>, para la definición de las dimensiones de los granos.</p>
        <p>La
          preparación de las muestras como un paso previo para la determinación 
          de las propiedades físicas, consistió en la selección de 10 kg de 
          semilla certificada, proveniente de las áreas experimentales del 
          Instituto Nacional de Investigaciones Agropecuarias (INIAP) en 
          Portoviejo. Las mediciones de las propiedades físicas comprendieron la 
          toma de 50 muestras (granos) al azar, durante la determinación de cada 
          una de las propiedades. En la <span class="tooltip"><a href="#f8">Figura 1</a></span>, se ilustra un momento de la preparación de la muestra de los granos de maní sometidos al ensayo.</p>
        <div id="f8" class="fig">
          <div class="zoom">
            <svg xml:space="preserve" enable-background="new 0 0 350 291.416" viewBox="0 0 350 291.416" height="291.416px" width="350px" y="0px" x="0px"  version="1.1">
              <image transform="matrix(1.5021 0 0 1.5021 0 0)" 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Rc7RkbyR%20St2H6CWsI7WHDtlBX3GyI62kwrY9HGqWFTq8KxApr1iEvEyKCHk4FsbTtUPlG4XR5pUa9i3/Cg5L%20UQkL3EdfgUhsxRJaIfvIp9L91GT6bJViaAMeqrBQNaoBLM0qey7OnQs+7NGXFL96wCQLF23IjUId%206soeTrILavnTnOQe9adRxVhfTDMr/Zr0Orj8Vi5ama9AliGtoQoNh3xmVkw3ppq3xSjNexiRm01G%20w1qjLUngFBlMxwlPOFHGcXSMDJw9RcgNhQ96Vb1T2mg0vD3UYXxwSQsas/KYt+6YozNDZyeDmTnJ%20xc+D6n1UpwvYbmC91YDenmt7nnK2qjKQMjT+36M/5MP4REGT+TFue1DtuOGWEbk3Y+l0XhZrAcfI%20e3m6Y61b1OaNq4tCcgPQsdKWvUjau4C0/zZFzjBEZnN3pm9ZffZ7aHVxEtoIT3RLk7MoBTxtwnZ6%20gHmeRUlG8Z74RludFODMsKSf4k4PUKY8TXS9oof0wks+qmGUKB9Woa9KL1nBNIySlGEKwXzVK8lq%206CtvppmngSqMhNQZhiDORfr0s1K5dNlt+IKT5IhbZSuw2LNmGplIhoyHd+p2m4rN5i/7EYOA49u3%2001QfY11BD2ybk+ZXa99JDpDsNbxCBhtJGzeXKoRMHfpgf6VFotdoS5W8ibhaQ0eANiqfWNJTozv3%20UKnZ73UFPJuRLnpbpRetPoFdtHyq3mOc4rREfumP1ZRkCtAfcNXR33f/6tefTOF7U35d8f/bWYNJ%20nBQqcDbLsuCZy/64B9O++Do9+/Sm+fxEjCwLOz3I6Mur0o8qbnCGJ9HiYzjlYEljX+2EQiVyf+JE%20LHsiIt4jgBUSSDWUQ8miNynDTBiYE75xRuGFRagSceC3SneHUeYGLtFiXLRRXSooTaXkdGXETn2i%20Ws73fEj1XUlGIixFBx6SMr32OviRcEH2XBU1Y0UjcPxEWLXzd90RE6/xhNRSS+V0GXvAY51xhVVn%20X9YDZ9BSURI3T8cjf4lmWoSDbRRjX2gFBa2gWmu1FtuzbRlGLyxETjt3Z/wFVHsSLLpiTncGPLC1%20GZckE11VcOZCICkzfEQicTR2SwBEIIn/ox56AGVQFn0BUCWhRhRZFzVqYyGP2FYsojM9Nidk92mE%20JUviVynQtnWVMkvS41fTo02ZqF4CVTr65xs0wRw/N3hw5FoqAgWloAcsZX9Vx4cu9EE+9Wwk1Fp5%20IzrNYkjRRod5GDYdMlZMUkJXUIzPaEj3RXDb9CQD9ivGQhbswhQ/IxoBWIkxQlBd1m2CWBVd1S5S%20cmP/hC8rtVKGQWPrdS9aVy5c1CTJckui0i6M9k+u+DmJw1GLSDUvRV0quCqg5lCm4nOqSC8sxVIH%20aTSWBR9GYRnlpxIHg1RtNDYzhyTaRDyStVL6qB4954w3JGp7cIHFxwJLIzUyVTEZqCx0/2RyDiN4%20/ddngKV+yWMxh/U0cLIsznQaxRgtP2N/sUQ3sOE3SIFSsecSoMRL7VYkrqQe9FgK92hqolNAHDNq%20eQJ1mrMiSgRdAxk0mkRklXFY5pJqicZQQnZwpgNKlpaKQdUpLNhwW3c1TKGITZNBJWgqoAQT0pGD%20JUKL2uaAxCMVdBAx6HIfUUVF/sZOFwdL/hVtLoUnKsJzsBFI5VQjMHJN2uNTT2RsPmQfPaQs88ea%20H1SHK5BPwViPnzCJfkRfRJdxIMkS97IlRxOEsFQ0CDKPPAZd+sZjTyFsFmJLJgRL5KJkZsU+GCNA%20ewlG2QQgtCEIyllv/sEz+3ErCJJoTP+BaGkVAOZ5AOZJlDRZWJwUUUxkS5W1JbZIEiKmMjbSckfl%20FfqVgXN1BRKldBVyOelUR/ulH+PEMfnZIQFgAr1SNJx5YThJRiVAQOnka2fIcT9VOAY2TcqDQTWy%20An/zc69pPUqFZer0PeUmIUVXEl/hIp+IXrbEJrVERkfxj+9ZilBDl5syjoomXGTRH9AVRZqhWFvH%20Ptg3XTPKam8ZIJr4iYKwlur2gyzWPoWYdRAVNT/6UGKjS6+oMvN5EinCJRnUQ0DVOuJkYTXqUEDF%20mmzKAnEDUS33hdzjcZrRn3bWbcfoInZaMiGDhyVJZgP1TirCPP1Xk/oxLD00ktkYJYb/FKJK4Tsn%20oRuEVpB9WVlM1oIT5XtOw6D+ASXhR0gVuSnTAxugUG+WmmIsEpagVi5bBz6kAkrV9aTAGU126TpV%20o0VNR6tSkzz1EQjNlU/SJqWd4hvJchLXOBQSCTLTCVsAhqaMCUJ/Izes6TRJ8gk1BArJtiwldxWK%20F0cyGRR+wZOD8ylSyKhF5U6ewTCxpX83tB9RtSGCFyWmoGALcleCwAqkVEcC9HPQgRKRsjWUukA5%20lnSFOHBQU2LxkRlr55zJcxTehD1pGTqgpYvwua8sKF7/5J2aAjr/xqrN+aSksiLsxmBrWLIJ1l3c%20oRlPcp1SIxB1MRKvYaJst6+vVbM1/4d+L0KHIMQns4k24RJ3QbFy21Sn6ehRtKWubzNW5nhwNKWQ%20QOWnDvgiFeZTMWc1y/YmbEIx3qOSJ3RXCsYKBLggF5JhuYgcIUFo/EIV1qp8zDquC8Wqb0lWUJB2%20SVIiPGiKQdFvsVRnV6FYX4kyZuVEtzRgu6cu/vGQlQpA6ymdAOejXdpwPWgf9bqGCxYNa9hL60lU%20XGImHZFVAhGmALCUZ/cs5sopGEMsc4uT/6WNUEAHxRYxu0KF2fYfHMqnwxNYDuufStV/ztSht/Va%20HkI3hVOz3AZwqedZk8FOPzV9osJd16BgreBggjBCOVM9O3Sn1vIRp0Qk2CN3C4WVRv+2KtN5qVmz%20UmX3cg3LQEjKpJhhnq+jV6wEP/QjXg3bYUj2V8k1NfFzbz0TGa+jHuTVLvlyOTR4U62QTw4kfD/K%20TDU6FiAxlplHWR2HVNAKQ7aLJ81KNh3HeO1BWrH1PVv0PX0KMsobPK1VrrGFWXt4YaIzoPm1wUQC%20ChgCI9NkKyIpUJjDeeRYB7MpPAk7SVjRkRjRgRs2k5pYlw7HYqcJvjECejuouGFFkKAiJxCFIOsp%20i/nrlyVmJFg8mFZSZMeFiloHJRUlWJIjgyH4ou2pskbDoHVxRoJmEfX5jHuiQTZsK/r2N5MBk46U%20p202J4YBZT9UXzUVDfuhPHIoZ07/uTF+8UhaGzerojcNQ4LWJkkCdi/gCKHnqrWs9aDKxmxkaMmv%20dyZv5BG9GLBxK2oppopqCp9BwXkeolMDlokDsh+jpsqQIoMHxL+PXBmTcrisajT/K0tkDH5wi79g%20rIqUcmI+FDUBrL9PcyYd8YQp4sNjCrQwJcovRBseDI6lV30omVmgvEFeRrrVxkcArMJwJCesEKiU%2057O45XjxHCKWDMMiqYFGWT9F+UKX3CHGAqJIJJSzAqJRqRFHJ0GsbFZKFyTOuYjLmj+YWJ501y6v%20KsuImjdhNEvnyk+fRsbDh3wkgmqLCDtZVopanHRkPLquB3EKdLgLRE59NHdcF0tz/9ctXWIRoOul%20WeWw/6k3ocg2kKWQ+7q6LHIpODlHfNOMoCw8ethytFhCbxauNuxvSLlHNezPBepBvPtIjCSARpUy%20N6c370fBZEhz3St/SPEYIrYRgzmRpKokI8IxnyYgnaPGWPmfy+o4G5ZLkGvFWlm+QaI0pvavYyNk%20Ymy4yMXVsUS3DM2wXEx3pHK/XBeWDuokMorE5fIkCxd1r2MVUoYRxkRTlUUbJXwy9UdjZppx34TV%20+qpsOGRaqltVW2bPpZLUFoZZKtLM8cQHd4MyWKt9FNqoRumMqttr1tym8oS6kIebd0JfpJwRaKsf%20vyO4+6p07nGCwuI5/xiCulRnt//VPrCziGFUH+h7YsgVnEji2NE3v+O1daNzdhJLb0gcxoyibyci%20SqqjkJ22UevjNE7ikLbXFXEMEb5BJlRbtk87GUJHMMTSOmzCyDUbBQDIh8LLkmWDmlSVmXMbhHsg%20fFh7FAiabSATI6CZp5O0cIZcQwyDTXTDf8JDpair281kYR5KK+G4k6WSvRZRsE0Wscxko4WDVl7M%20R+X1mU/Nyov0RZTh2N3py0PiUUm9ygrTS+4mcJojpU9yGqQkWAEnmBjbvhkilyWZpYziy7MCzPvY%20zBuRTcRrl3YKvKS9SGgdNv4pgaB1oZLUek49amftWb0yLRjjGa3LiwRXrhB6pkv/fd+IRzKQFzbW%201E9htJKw3ZoPEwjm5I0+F7whkxHnAQDkCY/opnstKCoB4jRa5ERWzEuC9cufM1BH3h5k10WEaebx%20g4i4rIltzai5ZFxhxCgnpnXnRSEE5cMhJVxvxz6brb+T8X7i1x82zXcS8Rj5WbOZ4Tz1ElN7lENB%201Tx+WhnTBMp+lDbpCG9HcdboUiBJFa2px8l1pMgeoueJHpNocrV5pnHFNWFu9n75lZ0ds2XKEnhk%20NTh14RvvFe3oUSI4isFSKLhEkXyqRNCgcr9RIuRMAazp8sUovW8spU1bWoWp+0ulSm+OzcBvhyTN%20KpYqFt7OScvzgrGsdtJy2Mpy/ze3/yOHx0wpF0FJTLWaGHjPOyNNFTZVRCkufEhsnhEocE5L7Pow%20DA7TUsg53XbnxsZsGsg+wRXKeKiZFTIs3FY1KQzEsiVI3ON4RppZf8anGBEUS6HAk2IvSlwlgt1P%20q9aqvyeCXbTAcHsvok5RwfVPTgLkjQKnf/lydGDeAG1RNM1RAimAsm4/7qvMK7uqNZdXwpymJ4KU%20xccoZjLgCXEjwFFr1nnjbGpxOnlrHSJhx1WJM4Rx91XZDugrq3uTDcp/h/QJbaEMglFIzEM8F/L6%20I6qf7dOALzR/AH32I3dbcYd+IOOh3JSwr2ktnN8Q2dP4R5TfnlqrpZZXLLZvgf/AeHLXzA1Ve6Em%20V6noql/+P6WgDMoADepfdntwt05CXKpEVKIO6TV/zOn5On7VYpwDEFACfdpTsOAVKCxYBGBYooTC%20hAlZOGRx5coei1A0AtgIwONHkCFBsvAoaI+pkwWj7GEBpUREKAhltlyxsESAhFcqQjGJko/Ghy9b%20QjFVtGjKPRp3ztTpUuFMKAEmIkyaVObDADKhYNwT5UpNKMqURYMWrZSyPZ+ARlWYdOHbEjqvrFy5%20VaNUoQhztsS6MGHXpE6DQjExNSVKlFYVBrg5delijYIu1r0CQKdIzCNJAmjp0SBGvRNXaNSI0AoU%20KwoXM4Z4xaQgQShDQ6xo1NT/J4KBwYJWqrriRYuLHWr87FZqTK/Ag+M0RRba0T10evt2SfG4RYug%20g1Mcejqi75otLxbs7bBw4a1p95T6HDOhw4cxM058OP4gxygeO2cWeZnjCs/sYkkivHISMCYTCPSL%20p5Ni48OUi/iKaIXsLoopqImscA2KKCTcCrjA+koPMaBYoDA4phQqoaDE7NJLqO+cwiu7lSzUCS4D%20m2pJqh3bQiom4aTCKSWC2DPIPcGoiqkmnFgATMDNEOIvM9VI28qr6SaayEqrsmRtjwdNaQU6hLpT%20EaL3tFTNtQEhKg6jM7eyDRSWVihBQ+1mG0qvFfosTakYVVtBKhAziuK9xrrL/5KF1LQckTwCG6Lw%20zc8OnQ47oEpI0EorS5hyyi0FJE8xwSaqykUWOvxqoYuKGvMUMFeqyIpAAHWoyb2c4unQoXr6kS0W%20TAFFmeaKukshyVIkTMmmeMSIj+ByFS4u95pKUMi3KhotLppSk9FHCK3CqrGX0iMIpdyAdIk4vras%20qCV4nfoUM4X0q6w47G5UkTiD9L3xISdjgy4KS9Nr6q76+lURONX2iO1hk/69wqhoKmbp1vGqXXMl%202Ao67aXxIobXRJJZg0miiRhijMdBW9rDiiNJGw7f71Qr97PEID2z3aH+TIizzeqd16MrPLUMCgAO%20c9hGCZ381QS5FvORD8oSdP86WaH8mtjhEp0sDKeJj2pR16KiaU6yvt6NeiGCWYQNyKnYlEzct7Bl%20dKm+Vm4Mr9MKSjdEU9k05cCmbt6KjlPXfWnxt0xQVd3/iDZhaM0su+hBiDHyqsr0MPLZNwxH3vck%20lKZ7iHS31LTJyQfBVAlROY1iyTfaVSzsIpN4U9MrroKjD2B+Y8Zw5dqDL0iPEBMGM/d+Ad3XeTRJ%2025lTQLeiPKR6d2Jx6Z9mcpcpytrFdnxkxSTviq9jSqzdwSqKIve6IsIq+DWl5rFouLKrdjCAEaJ6%201cEIZD0n0dBosPUQCsUrKNv7BPIy5TTEKI1UWDGB3ZREKmft7y9Iux7Q9IP/NJkoJyPSsxma+uW9%20IGVrJbJ7kUOA07WEaCiEvNELUBjDKfGUaU1zMUEFTQC8ePmGMSDDDnXSghj2oIw11AGdCz/jQF2x%20SGxHQUiHVNSQp3hMD3ZRSrlCExGPdGRoP7MMSZqmqqati2cWQQmduAI3vNCGRXwQBBzrszO5fOiC%20UCqc3xC3lbvpiCpeKUzavoPGbEELNCraXgT30BcYjWZbWgqAnfyGvD8uyG0RrCMGG/OoUxVuL/gr%20V4A6yBkdlrBKQQyUy/ZAp5x5TmpVck1sdJatQQEMXqeZoXI2By7cFEQ6zotJnhQSHulpxFKjEwQf%20Fukk27RINEuBni5nhjxs/1YnLgaRXSAOEpqb3M51MZuOROAjHiuc8iOFw1FeHpMjCa3oJK1b37cW%20pxGf2AhhBXqX4jikSH2uaw/K+MRtWtSU0TiJacDKY0OD6Ks66uSIpTBoQYJikU6qqyb8Iw7iMjmk%20VmTEV6Hc0U0MlLh7Mq6SM/rQKTuSvQCgpyVYqqH+ZJYw2CQmlSjTksM+Mx+T9UwhhblaeyRigpMQ%20S3aB2WERSxY9Dgk1izn1XOxsY5yKwCZ3I9xZqALzQPNZyUZcTZSaTmYlITqEI3vwDFsplxSikQSS%20J3VPcVCzRo0paUKCaWQdFOMXtakrLhOz5V/L9SCzEXRwN8KJXawoFSZBxP9qTknQaBhkCjoqpWxi%20swiPmmmK2KCKsVoql+L8sodoFCSNClSjgu7pInWVlCMchGsHC3I0c/YQqn4zanjKpCmKkNOcrYKO%209PqHJRKyIKeg5aocm0MsgpToSuakDW14eiZCgbaeexiTKbwJJzctlaYlAl6nRPMSn9aQuj1DEn24%20BCm0/m6t6vSMZQBHPqf5TUAbzY79IsM1URLlMFDYYpJEm6rsLo0lUSPQRcwWLqt9kZ+jVNu76qY+%20h3mlBIEo1uDaJNEfKWa0jU3Kaby1LeKgSjApThyJD9QlHbElaRy8XlHaGkbVDNEvhf2jzLLqO/jE%20pGPTkeLYVFSffJUnY3//uoKGbAa2qqa4ZtZ8SpKdGmQL5UQQrRiTd9Akk28idzXO+qaGyuMytA6n%20cyByr1dgVi3qIe0lRKPxvFDikTsnzX7Zyp1dvHVRWY04MhaJsIAdKb6W9Plff4GX/rw34XKNDUZ5%20q3IoBZstthh6Le1bF2zZWSCixGahkIlttjAyNy5C1lvxgjM7jVbb671JI0RVHXunTLugVJA7RxWP%20T/scKUJJBmVezgmIrNCoPXEKdUyVyEZvgmTQ1EhPvxuKiahcO1ZftzWgTZbzdn3k62QEnNakSHlJ%20CDD6znitqyUtaVeswLpVsJ3tXhHheiSk0rQEav10H6oFWVdRVZTZKrUJ/7W6Ai1/9/Ml4xsUhV39%207tTEmEFJUdXX/EJwqUy2Iu1rVt22NGmXpPsjQiOqtqf15fbSR2VMzHF84lu70kp1TWAaYasvAjPS%20ya7ACdmoyl3OsfZoxZwOsROSnSo6+iyFqwbiqXmsS25dxok3TlkN8MLIwTp3cCH6aXSFKfmUD70R%20f3b7zr/aGcOERg2NDI5jCQ6lIxoKyAqbhUZBucg/FfKlVSmplWI6xBa7TZAFCcqasyxk2K+DmsFW%20g8vH27K1EMnIhbSlrcgBEPUqz2W9HCrISDNl7pejvMkSaTVplgmXcmvJNXqRCczOUjHoDFN1CZtP%20RXL+3al3NT46wvaZ2P/0xqGrjCFQTW6ta3iS1J77hgYRRH0tzxEM9S9e+IbggMf+lMf8fVOnVnCj%20X6wxTDMOK60COELo/olSQBHkYW9akX/0cCClaOxTZuPSIopo4nkRXlEYHtiVZBTUAIqGMzS3MgXL%20swiuqx0eWR3O86mDSBmzkjl+YR5mWzNM8bErQSHD6J4mc5loEqaTcZP5AK4sMgpn0jyeko980Qpq%20A52tcCatqqpjWoiGcLlO4Q6wI41fSYgvOQk8M8CkSbc8ixqE8jjqO5XAIB9OOw5nciQNEQru+4kJ%20SggYXKgFipBFA6UDgYmXGRBKi4v3cUBbCZXXEDcLw7fh0YgmLKxSE5L/lkmVkWm7nJAkJESNtMEI%20jwgEPXC+dBOE78oIYhuqZ9s95CgTlRlEVcIdB/Qd28MXPem85qE6HGocn6Ee9MINgjgNnzunAJy2%20famlbtMXGnyIrxk+niiKjsk9n4upOCwrViqnIzO35wOJVmg+BTswj3OSsLMj8pkRwRkVvXsUVBuu%20lHAmwNEeF5kfOCyafOs0UzgLitoKSjsgwVg1vkqJ+xuxvfG4UHOkhVqplsGKlsm4v1M4m8CVlAq5%20WZyYHwSAnJk2MvspJWqIShKRgjBGMfMRh2kRKwKZezwIK9IeeSwBsBAdobMqYkkevTkTTQkqn5Gb%20KGu22VM5aCosfBkz/0S8lUSBCVFkDfXaj5p4PgQEgDEBAFtKuMaZI5QQhF8SEnkbH6iIp7eAgiYE%20sFmqyQm6oFeClPvxPiQkncTiyWyBirk6kEAADpYkwrsZJYsDmwh6ygg5x0SxgkniJ6LUmozyD/94%20vhf8wBPkQYXgmMyZjUNsu7BkSBqspNGwD0Z0k5j5oZsxiNxIClrjnJoirqv6LWhrruDymBE6odLA%20lDwaOvQyCRhsEGHDSC8qDzsJTMYiyIv4LiSZxZGbnA+RDH8TEp1Yw5UEkijoxaGMv7wZvnfimb+Q%20FfmZiEOpSVDwqz27H9iSIlYQG3VpLMzERosYrJw8CX06NTOUi56zTf/X4STxYQi6eril6JMZoZU3%20gzXLE5qYAprqmiWMQkWRwT6bwcHf4D3hQzpdKjkUlI/qQCqaiYq9McW5OL6cKy6esz3tgg2EeIiV%20IA8tATpLWUErQ7rWkI/eYayVc8z4QqbPs5PO6AgxSjf/2DrQTJueeBCmkYv+s6B+OqCOsxtT00Jg%20ISnAM0Jmqauc483ZibST7KzJ04t6xCgUKT0RCyRAkpZcWalE2SMIvTBGGZ4wMhp1pEyPKMttVA3e%20WUSTazkh0U4TUcEXIdASwkuTmLVwij6KFCJCETcd/NAQSZDOa6a5gMAmuo44qyL3OBRkw5NvWpQc%20687fiDsC2b3QKDr/jyBIHcUe0OxJhEgWftOXbxmf4cO3rWjOJdmSr2GjLTufPZtGk7q3lpDCCzGV%209yM1wJAVertTiDAckurIx9sewWO4wLsSEZufXZwJj6igN21To1m5BVSNRoGbIOI97BJSBuwc9/Cy%20wcsqgYEWTFGl83q2kWlI2+sNjywUbUomWCyhWzGhg1DFoZK3odjHiOG94YGP4+hPJKGI7DiIQMCx%20Ng3VreMM6hOlM/GtwFobCj1DTfq+wLAalTw8LEyj/ruWujkU/vu6vKBJsHTSeI2xNEyPPtPQ6POO%20rQjUuTHHaWSx+POQMsTDMiKaUN3R7oQzk1OvToRSf6TPwXiTCpk5/4H5qQukHtDRkvDANuXcNRgC%20HT+BGYdVETu5nJ96I341COQ5tn7FrCNRVdLaSOiZOcDMuoTVVgB4VhVLG/nzOrspQ/Qhw0BghS07%20yWO5LPNBNUuDMUQDorIzVPEDLKa4KCjJt/yByLl5M/ODRlPQAz3UgxNZSUEdsVxMTVDT15z9CIbY%200Vc7CJQpL60QOnAjFDF0lNjgsu4SNUkcD1chE7HTJ7ODWiTpjepxiR8avGLKx2KaOl79ocalFDlx%20jqIohSSqD2OEL1FcpXNDRKmyl7XN1onAs/OpSuxjioFdiEE5lNfQsKkQBGxghVYIhE7KTcr6v7NZ%20Sbqow08LTUsT2P/7qtRL00UNHR8WO7z0gAZouAZWMBtooKgtetabW7CmcairJJ44CgD9MJq15ZHG%20jZgzuxP8TLmVa0TVUr2H0cTPiUDieBA+yNzeUUW9iQ9oNR7hGY4kI5AE8VIS6rmSszUCK4WKuYaK%20eQ7L3SKC3M7qmSEZwo5fMlnM24y1HTntVSiTqJVPKzYamtBcFDtlZCddvAojXJC5iZVJzZu9IQ7k%20baST2LSp0Bi2ADkY4bcYib6/CASyuIayOIsBKtcMtoKtqoorOMoVdSicneAPIhrgSxO1wU8hyjHr%20Eg6YK6YRgo9n0zEO4RAsOb2uGqJPUq8oAIWrYqqkm8Qg+h3UIKf/2TinZN0DVigL5bVcijKW6oIP%2014ilxjXDwHQrA0XikdsMuGKaoTzT2swWKOY3xzC7q6niuolRVnpaLTmPc1TcBSKdZYAOgrsn74OK%20IWLhqkA0qKkrPaA7y0UKtYksFjBGIIm4gXWJOa0MdfNjkeBPo+oqBV6v2imiP7GUQpLVXwM3l+Nf%207+y9jHy2rRBjU4Cu1MnVpKuQNT6dMdZEiowJM7sC5KGoUmggwFzjmUqTCDYr+5DlzEDAYoxKJcRO%20DEkgVrkCPgisco2KH7qIUyiu3lUoS7PXES6QvMEnULhktFALZkzUwAORSyOKMcY/NEPCN4OCBOrQ%20wvm0bfzCFBPn/5B4CI+gI8/ICDtZqTxNvS6WCvCa1mW+IYEhE1GsDwo0KvJKy1pD4xFhT8sSjE+S%20RxIKG9lJ05UToRqqNWUijZp6j0Ns6TbdjAOV5dF1R7e6v3xeasjCNOGUDUrbmgj6n1zdu6cclRIZ%20UkijJBYTynorFdtUDoXDp19BYRf75CShCa34ydkhnkfWD+3lDAChaMy4WyaJ4JVS3bRpOahBnTLR%20NagZD/jlFd9Yz6KgozE1pxqMnlgE4FtJj2qi4ph0lCaLGSiVCmlzMjQpUtTAORYuGtL8opERVbrm%20j5X0nRmxsKac5LwIvF+hvpMKH1L6r3mWHZ/4UomGN6tcVaLo2f9OU0p4JetwgaML7biNy5BHMQra%20BUvija0ELW3MWImMFlVumU6OpcHtRIj/BEzV0bFNYVZHcZjavir4CcgILFMgAo+sgK/kihEvYYw9%204DAy6ceN7L0hsqqrqo5eu4+XkmDoBomOYAm4xr6IW1XNXL22vlAvTLxtjFPDGBOzMZvuyjB7Tc25%20eonIyiCn9adNjkNk2bKisJB3pcZ4kSS4cL/E2CgVhpa4utH/5o/N0EiwMQ3vbBlQzNJJ7o2OHR7h%20o0dKumL8HpMJ5w0uJpna6bnQSabp2ZPk4GabXlYloogsLr6+5G7vVUH34IwjfnGR8DjdbGVIwiiu%20safe7cWXZOr/lrmso9Vdp42xrjMtdPSnfQ47BBdkp1zUb0FGBossT7ubs3sXoplrLg+JuG7bncWi%205PhSk70f+6AdDtlcbCtfQSlT4qHlICYmzfXpG+SiamKImojvlFZF9LKrSNlO5PKSluBXSJcarrvW%20QaeXuFZQqjVHbHEcvDlLv3uXv+s/oB1hd5rbRK1kD+tzxsqY4r2J+iNbRB0tSb00F4tJMm+1hGJo%20M8JRon71oTnEa6Md4qnLPRa3fLRlUUSmjXV0Zv4Sep5y6ZLcxzqdlM2yWTuvKFYQ/pzyJpLbAGw6%20HN1ybIfx8YlRZ98byP2Nudnd2AI8Cvu4FKtQjoXU4yCRHLkQ/4eoCqwO3sdgMHjL7bSG9mn8nl0S%20IlPq9ykp9FhvOWTkqbJ0pRgETPNmdD0RqxsMCjt5w0l+oW9mDb86EjLuOf2cd4iNYmzbdr2pJHOP%20cQ7yCpHPjFiP6wTlWcAZl5jKCsI6bcMUzUjGqEImHCT5d9Ds9QPCEXsDllzhdQYj+wpTEAvNXtYG%20IzI6ardK+k+pCBwbHcs+RyxSREckUxUUxFGPyEzpcZZOuZO7d3e5rvWlHcEsj5nZ4Oz0SJi7icVW%20DQ+C+1OCZWZnEQe6vpUhjHybWwubqziUN3lqEU/Saj5DkT3bCbT1uAh7jHY767vjMxAdWCuQ0CJ0%20yQOCa8qnHP/GIBpYDrKtiK7fMvlYtWVbJdUedxYOU+lzzCU7hk+yVB7zupXCeLvxorpmZkvCXCEq%20qjnsdmCybFuLvrxR5d7d54+4rq2tM7hgb+SM21A5ZJ9JdsO8Hv0fsYKODzabNM/1BghTe/ZAucIC%20SgkWAUwEiAKFIEQWBhWySBiABYs9VwRdMYiQIgtBewQKikLQIMqLGR8+PHgxAAAAUFjERBizYsyc%20Onfy7OnzJ9CgPgMkhGIUY0KkDAOorFiCqMqZUjEipbpC4dOsJa4EEjiQ4MeEYhPu4SNS40SiUATx%20ATXwaEWmJiR2LFiwqliKV77ORPr04MCzHetemZlwL2KDJUr/GLVSE4rQyJInU/6JlfFBFlYOWqR4%200eJfiXcNatwj8XRarAFWbB05cC/GlxUVFhRpaq/Rl3sFej0KhanKk5lnWmHcOUBHjleMe8aokeNJ%20lhO3PsT92yjHmAQrc+/efXFMojETPs5MFfjsxUzpdtxj0lSr16Xrnme6+KHXK1Hm5p0rcQ9baMVG%20liCmGPhWX+tJZRRrK3A1lVMm7GUaC1flpVJhgxVUV18sRGEdTQ9pt8dj3pl4olAK1USTTGKF1Zxs%20wW200R6tHGiba2CBBtVuCH7mGXYj4XbFagEYNRBvA5n344UJCeSRbKf9tkKMFGGWIWp4YTliTAJp%20hyKYYfbE/2IJJpTQYFJUqfeUfYzZ1d5IBnplCiimiFRYbG0WBBZesx1EI1ozEYXZkXtZ0aGa6WU1%20o5pmUpVnU1U9OqlTSRnVF5diarrpTqoBuaRn67ko1l42RuOanAUatWNFMy3XXH/JWfcSQi8mtEKt%20B5lQ63F/5mXRTPt5+mNUo8KIkUclZMopsyayiFF4ygJAlKROQbXeo4tlBJ+NSMopkKBaiYuef362%2015FTEC625kGXQvgotR1+JJFDA0ZZIaWIggdARzdBJhOJzQrcnUE1wQQAldOmd6xxUrlpYDQH8lag%20Rr2+lBVUrsaG7F0U7XqhakdKN9yuc32WK21DugQrSChJGf+bdizaNDDNYVa4LqVOTTrVgmZ9myRB%20fioKnH2iJYhRX2v+au1Bgl1hxWaUapXeVeciil5SGdqFqEQ3sVgz2CcW12rDzG31chS6fmSCtxH3%20lmuyodLa0kfEevZXjE+1N9ppZB8r21ob3VW3lYVB9ObGzx4cNuOU9SvTv1eNd6ZRDqV9KVUMFXUF%20Hwe6N9ubcEF6GLpC40UlU6hHybWarOFLqX21IYgUlaDPB7nXuU/bOO+SRRFTwS0aLHJhPO8YGpYt%20R8HHkCaHLJ2bpllh4WxQgQTFrpyxLNsKm3m08VYzft9cRrgBr/j5vavPnVGPaTuhbxiZTLS46im4%2011n1KnT/f+kPvaYv0ZAWP31VD1uHitqAMvKaiQyoBB/6Sl0AAK31UbA72wHAHpSFnId8aDhVMhuM%20mDKT58BmShgyCWdkpZyVFYk1WnPZ916EoSwdLSQqq17TAGQ+ADimgj6UTPtwB4B9ia6Am+NQEdFD%20Fz7tb3OryiEE00K0iwyGMB18118G17G4/AdPHRriFbQTRgn+SzM/PONPpDUzFUkQJi/RnEpwVBLh%20JAhvDoORq0xWmxmZJi1Uql353HM4GLKQkGnRWwk5o7vgMRKNjgwKeaZ1sCnax0gbKZAglBOFtKkJ%20Y+lx1KA6yZgqwgU4B0APoBZYF8slDksdSl11WOevR9Ky/zKLy8nfaLMWikFncNqTDQgz9kHCoedi%20yOEj50wysldt0GUJEuHLqpe+WlIzMvsSj0zIxCK1lIUtyimdX0KpK2tR61FzsRCbmqI0o2RoLx/i%20UAI3wzpsTrCez/paNfPZqYPtSxAykxYbk6NDOrLQeJ4SjSAHd5zUSKlhqOnYB6XZxpscjI0zmaY+%20MyqUIFalaBvSEAHdFc7DfEUwh9pfpCpEI8NcRmhlAhlUtAUphYVHozatzAXXaL0Zxu1KLMHebxZT%20GBy9zSLrAeZZfqmQ2jkUe3LDHkVvctOpTsZOMXGI7iLJFK89amsipYhJ4lTUdB41K/4rHqQUBDnI%20BJGe2/+sKD6pKtedCCImgvhX8C6KsIrCRCzAUyhIkOQaPkA0l0ZiCROVqJ1/ZWev0wzoXCPbHaQA%20J1ppGo5fGBPW13TQdJNa11nR2kR2johEPZTJaSWrWhMFj41LfckQcRickUmFpy8L6gp6YxqKCpWx%20Y9RJYVYr3MmMkaNvjRZyhyiti2R1mzIr47+Yi8GA6RWbBanJGBlTk+FytzJpi+pEw+tamfFVdxds%207cHOiz5+sWg53X0vs7RqgvAcTK9+xeZg+DXGCYoItfD97xktqsby6jcmhI2JFW65WAAzmGbYfDA/%207zke5wKPutFVYxm32eAND8y19V1vQPG63plxuMQmPjEailOs4hWzuMUufjGMYyzjGdO4xja+MY4f%20GRAAOw==" height="194" width="233" overflow="visible"> </image>
            </svg>
          </div>
        </div>
        <div class="fig"><span class="labelfig">FIGURA 1.&nbsp; </span><span class="textfig">Muestra de los granos de maní variedad Criollo o Charapoto. </span></div>
        <p><b>Metodología para la determinación de la longitud (L).</b> La medición de esta variable se realizó con un pie de rey marca WEZU de
          250 mm ± 0,05 mm de error, la medición comprendió la distancia entre 
          ambos extremos del maní, (<span class="tooltip"><a href="#f9">Figura 2</a></span>).</p>
        <div id="f9" class="fig">
          <div class="zoom">
            <svg xml:space="preserve" enable-background="new 0 0 350 318.182" viewBox="0 0 350 318.182" height="318.182px" width="350px" y="0px" x="0px"  version="1.1">
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            </svg>
          </div>
        </div>
        <div class="fig"><span class="labelfig">FIGURA 2.&nbsp; </span><span class="textfig">Determinación de la longitud de los granos de maní.</span></div>
        <p><b>Metodología para la determinación del diámetro ecuatorial (d).</b> La medición del diámetro ecuatorial se realizó con el pie de rey 
          anteriormente descrito, tomando como medida la sección transversal de 
          los granos (<span class="tooltip"><a href="#f10">Figura 3</a></span>).</p>
        <div id="f10" class="fig">
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              <image transform="matrix(3.1532 0 0 3.1532 0 0)" xlink:href="data:image/gif;base64,R0lGODlhbwBcAPcAAIJ7V1ZTR/798Kmkm6Kbisa9pU5JN5iVhbq5tYqEZ6qppTQvJ9nTvPv17CwW%20GPn5+Zualfr12/Px4aKadvPr5dPTzPn59YeEeIZ6amJZSfr08pKKWdLLs4mCW3t1VtTMxLaxmMW7%20s5KJZ+/w5v/8/3l3ZdPMuubgyu3t69zb0/Ps2c3MweLi1JSJd8rDsf36/i4mGeXf1ff39t/Uu/X1%208ePdyZqSePv1+vn58mhlWIyLhdHGrc3Bq+LbxP3/+P//7tbRvWtlSv773+Hi2gsKBtPTxXVsSdvb%20zPr04rKtpPHx6GhNOtzUwfz8/Orr3OTl4fz69svLvMTBvOvkz/z5+d7YxN3c2fr79n17dXNtWcTE%20wfT17p2Ra/f48svGutHFs0QkJ6eijtrNvP79/P757bS1rtXU0e3t5fb46/7+//Dx7L+/t/b1+bCr%20mPj57fr5/eLUw///9m07PszLyd7Rtc/PyNnNs8nDperp4WtrYzcdIP/+6Pb16M7JtNrW1P766Lq2%20oP748fz9+L26rMK6lldBRZeHiP/8+ry1qsbArP//89vSzfz8/r67ovPy8unl3UIdIt/f0fr9/fz8%20+kZAOvv88f78+GtgPvjy8O7u3//7+15eUEE8Lunq5cfAo/r46vP07fz998fDtvr87pSGUOzi4Xho%20aXxxTP/89t/ZvIJlWIN/bOfLwfz+9fv887WwpsjHxFMkKPbx9ufo2bCqiO7o1c/JrcK8v9fYy8rF%20yfz//3BxadXPtl4wNJWSkIp5QPP05//88/Hlxvz/++vs5kgtMdO6rvf3++3VyD0WHBoGCP3/89HO%20zufo4fTz7djY04mBTfT09fjw6kA3Iuvs4e7o8qWfftjIuM7Ipezs5paPX39/Y///+///+f7/+v7/%20+//+/P/9+efm1dfXxvj76efm6aGgnOzf1MfCn/rwzYBbVe/x7+viu7ysoJ2OVfXw9L2wr7Cvq4+O%20dPT18PPXyx4dFeLg4NPU2L2+vsjIvejSxubdxv/+/////f7+/v///yH/C1hNUCBEYXRhWE1QPD94%20cGFja2V0IGJlZ2luPSLvu78iIGlkPSJXNU0wTXBDZWhpSHpyZVN6TlRjemtjOWQiPz4gPHg6eG1w%20bWV0YSB4bWxuczp4PSJhZG9iZTpuczptZXRhLyIgeDp4bXB0az0iQWRvYmUgWE1QIENvcmUgNS4z%20LWMwMTEgNjYuMTQ1NjYxLCAyMDEyLzAyLzA2LTE0OjU2OjI3ICAgICAgICAiPiA8cmRmOlJERiB4%20bWxuczpyZGY9Imh0dHA6Ly93d3cudzMub3JnLzE5OTkvMDIvMjItcmRmLXN5bnRheC1ucyMiPiA8%20cmRmOkRlc2NyaXB0aW9uIHJkZjphYm91dD0iIiB4bWxuczp4bXA9Imh0dHA6Ly9ucy5hZG9iZS5j%20b20veGFwLzEuMC8iIHhtbG5zOnhtcE1NPSJodHRwOi8vbnMuYWRvYmUuY29tL3hhcC8xLjAvbW0v%20IiB4bWxuczpzdFJlZj0iaHR0cDovL25zLmFkb2JlLmNvbS94YXAvMS4wL3NUeXBlL1Jlc291cmNl%20UmVmIyIgeG1wOkNyZWF0b3JUb29sPSJBZG9iZSBQaG90b3Nob3AgQ1M2IChXaW5kb3dzKSIgeG1w%20TU06SW5zdGFuY2VJRD0ieG1wLmlpZDpBRDVENUIxM0UzNTUxMUVDODM5REIxRUU2ODRBNzU5RiIg%20eG1wTU06RG9jdW1lbnRJRD0ieG1wLmRpZDpBRDVENUIxNEUzNTUxMUVDODM5REIxRUU2ODRBNzU5%20RiI+IDx4bXBNTTpEZXJpdmVkRnJvbSBzdFJlZjppbnN0YW5jZUlEPSJ4bXAuaWlkOkFENUQ1QjEx%20RTM1NTExRUM4MzlEQjFFRTY4NEE3NTlGIiBzdFJlZjpkb2N1bWVudElEPSJ4bXAuZGlkOkFENUQ1%20QjEyRTM1NTExRUM4MzlEQjFFRTY4NEE3NTlGIi8+IDwvcmRmOkRlc2NyaXB0aW9uPiA8L3JkZjpS%20REY+IDwveDp4bXBtZXRhPiA8P3hwYWNrZXQgZW5kPSJyIj8+Af/+/fz7+vn49/b19PPy8fDv7u3s%206+rp6Ofm5eTj4uHg397d3Nva2djX1tXU09LR0M/OzczLysnIx8bFxMPCwcC/vr28u7q5uLe2tbSz%20srGwr66trKuqqainpqWko6KhoJ+enZybmpmYl5aVlJOSkZCPjo2Mi4qJiIeGhYSDgoGAf359fHt6%20eXh3dnV0c3JxcG9ubWxramloZ2ZlZGNiYWBfXl1cW1pZWFdWVVRTUlFQT05NTEtKSUhHRkVEQ0JB%20QD8+PTw7Ojk4NzY1NDMyMTAvLi0sKyopKCcmJSQjIiEgHx4dHBsaGRgXFhUUExIREA8ODQwLCgkI%20BwYFBAMCAQAAIfkEAAAAAAAsAAAAAG8AXAAACP8A/wkcSLCgwYMEuSlcyLAhN4QQI0qcSLGixYEO%20My68yLGjx48F+4kcSbJkP5AoU6oMabKlyJUwY8qcSbOmzZs4c+rcybOnT4/HBr4hmCaNwDSMGP1c%20SvENmyYDjTJ6wMgo06sR+z2QIRLcpJFewY3ESpYgV5FqnqDQOnJM17JwQXXzFklLnWZdRrTq1s0H%20325wy/IdgqAMrhEj/rZyxddVYLKKgK0YFIUamkxxyA3BJa6SolGPsY44EmVFpBHAqEXKN8BcPjSK%20FIWeSJJo0dtFuVkKZ2nLGWojlLiJLYCcBHEcTvSYMgXJnhBtXiUJIU0TKk1KoyZFiBs3Qn7gw4v/%20H88Pob/z6P3Vjtq9aDiFKIakSFGhCK5IkVjMmsWih7AeJ9QiwTntuIAIIosEcsh1AjHyRnYQtVfU%20d+RVCJ556Z33UkHntYcDN1BYsUIddUgRRR1FFDFOfizU4OIJSCAhShghJCGFNLxBoclWMjwgUBM+%20HpQhehRaSB6GGW5IUIfdWWKJGlaYMV+KKa5QWhErMGBCD1VIEMMBFyQxwCLhlBkOFVT4wyGSGRZp%20pHhsEinkkP50s0Uz2SiBmBJOUOOEOCywEAkuRxTBwn35XKBDGVpkw40Mbk2ipj88qhmnnDTReel5%203VAzhBI4OKNEJZ7FZuoofEgAzAiZsLBCBbh0/wKFM0+oMYkM0QT5zxhNQDXnkDZpyhI44Hhj7LHA%204IGHElso4YwbfLghQCUCEBdHHK344I223nQxjAwohLvOAzx+JZJbLRGrrrouqSQsQV0Ve6yx1GxR%20iRtoVHJtqaSa2soyXfgQyhbebPHNNzTI8I8k6/xDgxWFaWHFOjS4tO667ab07kAiMdTYFnygMYqp%20scUxwrX7YnvwN4JcIYg3Iw3ThCS9yjBEPBCYY44OEEAwQDxr1GFFJ2qEYoE3CvlgwRUWLOSDQoL8%20408TY4zxAFRUWyr1GP88oObVXT/AdVb9cNMyN910oYQSArTdNqmjoFzJFnG4EYcrggzzjTctX/+x%20jgzD9KOLJLqUzc08aghCjBnP4FOYAuZAoAPPPjMqdCfNqNHFPDSEwo03uyIEpNgDjX1e15b6w6uu%20GCkUCsrAADPcD7HRrogAOMRhJw7dMLbyN8NYoEYnoFyxsiAvP21BF92i0DQ331gwDwqYW1EHPvHs%20rIOivuisAAJawGLPE53QMAm65rZ1tcL/UP2PDPD7ipBCV3ATRyV6AjMKMNFWa6q+ceBd7+KwNG+s%207Arz6ILL+uYys9FADdlAQRe4cYUrhCIUTFteQ4A3jGYMoQLYi1z3IpczcyigDHN4xhMcIZaXaE0g%20pptaNBxxodZtoRuKmMWKnOAE/UiAD6MQgBv/7Ha3boDIiAyBghKeYAVnnEFZZ3BGF3BQQfrRoH4M%208QYGLfC0hWgRixesYCh8gIInPKMOWnAcPnrmizb6TAFpTKEVUNCrg9RQIArhCxpwkY/7HIFQ+vGT%20OIYwC2oowRUocBQ3aACFhVjAGWrAASh+0wngKAEFmetCNoimBhp0wQKhQBpDrkCDK36OglcQZUa6%20oAZQUDAtKTBDBZjhCx20sXsKUIDjtHCP8aHgjv9QSBzUcAQU4QIX40jmEZb5R1zAKgXNSEE2LBCP%207iFgBSl4hDNQcYYGBCMYfDiDqq5AvhGQj5VqSKcaRoACYnRCgRbYwgQdGTBuGO0K6aRBQ2jQ/7SV%20SU8gb1iHFZiRCwTEI5e51Bkw81iBMuRjmSlK5jgieswhYOkZZsgGMygBA04YYBObyEEesJCPGAQj%20DgLgAxkUwQ2ihQIUV+wECkbQyi1soZRPGME8YIqDLWTjgWqonxZFmbwGOk0QPtDWVgoSlDc4Ihoo%20sMI9VMePMWDiPcGIgRcKsKUZ2GEGX7iGCcTQhz6YAAhVYEINZrCPPwAABgZYghFOYQQPBGEanAhC%20Cw5AAESI4RwU0MAhBosmTSgIFWRowB8WCwqbgiJ2rBrBnfi5DqfegAokIMELXpDZzmb2BTeQBUGS%20MqGCQGUMVdWAQhrwARd8QQxMsAMH7BBWsf8CAQgMwC0DqiCGCHxhCTBYwhJOAQAAdMADl/CoAQww%20jQVwIgMZyAEWDGGOECyiFIH9JhkWiwQcdIExcVjGMhSRCRq4wmzROIYMZHGD9sriHe9gb3tvsNn2%20UiUpVQHoA95gFaM0oaqWAAcqHjEIF5jABBzYgYK/4FoTMIEJQDABb79gDBW0YAmquMQlVCGCFogA%20uQG4RBZykAFKTAOvnEhxiilhAE4EIAurIAAgbMGLEZwBGJVA1XBupztuaCUaXShlKRsJjiB3oZEb%202drq2GcQqpGAWBr4wCsM3Ace8GAHnuBBg29rgj4A4Ro8uIYx1LEEG5xCw0ZQhV2ZG4QsQLf/BBgg%20cRBAmoEALJcTlFDxcve8iZFe4AAKiEI+isAMK9CAhg2BQim5wRtLKBqCMnCEI2TQq15dbXTuY4S6%20unGGRCDCtYkogIILkIgvjPXAfbhGWPVBjxbIAcP6YMUX2nEAG1ygBDkoQRY2kQVE1EIFqQg2LzwB%20gjAQAAOr2EYWgpCBFhsgz82FAQwWMG07B2CkvoCAAqSQgkMmtRXZSmpSHWOWaMBPIKqLSj+I1Y1H%20vCIELgh1qXdQABdwALYHhu01WIEMYyzh1epoxzWkQYYfGNzgy8jEEcZxhFogIQJCiLgQ9kDxT/wB%20CSqoAS8IQQssYAHXIJ2zAQJA7XoQ4eQo/6/HAgLQ52wrYA0VGMIZlBBp9pGOfVZz3z/4gbY4sKAN%20pE5EIrJs5S0zgAlw0EesWYGBXsjh6QQwRAgwYYlASEMJmRjByH4AjExIIOIRiAAS/kA7MgSDZD+Q%20wA9rEQUX9KER1pCHNbKAhRboABGS2wXJTY7ylC/AuXnYxQXMEQ8U2sMeLJyEuQTCc1TEIRIDaASp%20rVyAAmg5EW5nQhV6oA8xsIIVcnB6LGLRDnVkAB4aCMe1TDWCWUiAHOTYg8Rj7z9FBKMBK1XED8ie%209gjsQQJAaIQERCGKNkDgE6jQxTAeEFV87AwLeudEPfiechionBKU2MQusKADwjOCH1Swn/8iBgEI%20yVf+/PV2AQPiDQc47JsV6ohF6J1eiGIUwhDwIMEhvgFucrAKGOSABuTwBwIQDKgQDoeQWSiggBoA%20DmPgexRHcUKQDhGnAmFgABfwA9LwD7rgFMdAOLowOGxQDveADwoAAZsQAJRQctM3fURQD9PGCd8X%20fnEwfuVXeZ5wfjyAeV3WBw+mdAQQek8nhMVgf6bgB4cQDklVCWigP6NADp8QRAYYDmPgWTcAHn6g%20AwmwV2FACAywDydwAhM3BRjQArRzDIwQgiH4BtGghm74Bh2IAveAAL6wCymogn83fWlQVdygCJ/Q%20CDfoCTloZQzGARwABEwgBn/lb8UghHL/EAv1pwcOUAzwcAjgEA7b0gVo8C+jAAVUAAWeRQLVQAI3%20MIr2gAWUsA0AYARBUFd0NQEiMAGAsIUqgATgoQnqRQXggSuOIAsyQAXkMg/rMIwyoIZPcA+wgACQ%204wvhYQnkVX6Shw53kGVf8AW8wAQcwAQnIAZVYGFgUAy9MHqQEAvfCAYO4AC+8GSoEAo9BQxdMAqd%20CAWWEIo3QIqZ5QuUkAcEMAEEYA20AAIgQAsTkADL1lEz8AOO8ADhQQJoQgLhwSvgoRC/YwEV44a6%20IAj8sIdQoAgsAAieQAjSiA1XxgHXAAQ9wAHLUQO1cA6FUI7jmAyQEJNgIImmQAELggpq/zMCXQBu%20UDAJ8zgebEAC3+AHeZCPNjAB1mANSDkBXDABtEALInBiNkAAbQAIiQAEJyABe/ADSHBwe/AHW/lJ%20XeQDFdRT6bQFR8MPL8APOKAI4wAC6CCI2IANOxBWYoCSHFADU+BwIQADM+kAo5cMMJkMeiCJhfAB%20L4AKqBAqoFAJfNGT4eCQC5lZT1AGdRgACSACNtCUSJmUUHlXBiACy1ZnGRAEq3AAYXCVU6ACKiAB%20ZLcQV0BFWSRG3MAPb8APXaAIKwACdxCStrADJHmXPcAAysGaGFAP5pgMxRCTkAAGkCCYhRkCVWeA%20OGABRhQOldAKPbYQfCEAuNAHUdAIB//ABVwgAsUFAKeQniLQAR2wBAbQApnZAcXlAWcWYkEAACLg%20jyBpBkOAAjiAQRVUQUmFQTjAD8fADzSgCFHAm3cwl78ZnLygHFPAACtZCA4AAw7gnMoQC88JBsng%20AJIID6ggDYFgCQeINjhQCSeFRHmEAyxQBFGQCOMgexGQDsLADqmADYRACFxQVxqWABiAnmhmXPLp%20AUZKn6wYeCVwAb4QD3VQK1vgOfaEAx0YTNSQBKJQVrbwoHZAB3QwAzOQCgwgDjUwCDDwnGjKnOZY%20mHqgDINABmrHB59ABnRKBuCni/0AP2WjBvhQAWc0QXzhYzsXHjIQCorgBDmQANsAZ9P/AAPTEAAt%20EAQeQKTnCQDQcKnoaQQaBgA2AAIMoJU/8A9DwQ3NkARl1QdbOltdSgepEKY9UATiMADKoAeCOZjN%20yaZ6sABEAA+KoHY/1ADA2gCH8AJVOAkW8BU0UAFmoAVm0AXOgDZGdBLhwQbBVAniUAKKegE54ABE%20oAwLAAAtYFyZKQIioA3meq4bsAEdkAAA4AFZkAUJQAAu0DX94AMs8ApegKq2oKpe+qVhGgkmUAsX%20oAy1WquFCaLn2KZJEAe+CgxIgHuB8ABiAQXHKhLPAAt+MAdDoBvQ+hCDyg/f9w1qwALbkADygAEe%20YH0wGASnYKSVCg0dkK4ye64xKwIb/4Cep1AUY+ADKYAIUcAB+8oLXToDXvpVVVAF4oALAaAMDlCw%20zymJkugAygADHxAHDcAHfIAEc3pSDyASDwAF/TAJaiAFF/sEn7RIgcp44mEBrSABJbAJ2yAPLRAA%200mYA60qu6sqeMXup6Xqu5sqZ5SkCUOGTuLAGJsALHMALvOCvYMoLcFADQEAOYVAP51irT3uw56gM%20GZBYn3C1nWt23RAO62Yu6+AHzMoMXJG6SRYex/AAXNQKB9BnGWCkLWuyHqCo56m3fLsB5iqzpPC7%207hC8PjIJ4VAEooBbissLDBCmYJoK+wC5LLAJRFC5MBmTbDqrylAPvgAOFMA/WDungf+ACj42BmJh%20AfYAC3OgBSgAtv3gCIbjsawbTD6gCJEAiGHQArq2bEFwn+1aXLobs+n6u9CwAb/7u7/wCxowBhYQ%20DCvgBbq1uMs7Az3QA/sAB1VQAxBgctTLnNfLrZSwCGSQCbGDBmhABqgQCMGgG+8BBc1QAbDADGbQ%20D1XIDzLAcwqhtuXxD/2AA62gCOLVCg0gDRQQA8U3APJwAYvqrvsrDyIgD5mZmQEMDQf8C6SACf6g%20ATjgBQ6sWwywvKlAwT1QkrMgvd1amNULCWx6jkRgCpogAeAkMtUSB4oZDkhGAykwB3gMBU3QDyRQ%20wzKwuuCRBtEwBtzQliNzUnEQCJ//EBtk9wcTmghtYA02sA1GagSWnJ6/AA0CfMBICA5EHAVVAAQo%20OZy88MU90AfnwAJJcHIZsADK0JyCCQZ/KbXK8AEaIAGxAQwCEAcpHA6o0A28Ewd+UAfPIAVqIAOS%202VnrAS+GwxehGIpVMxfI0wwiUgYEcGvLZgT4SZ4boAWqlQLHG8qkTJysCSOpnAMvqAAZ8MpgQI5o%20vKbKUAgkenYCABu8jAONxBitgAcXCwvPQAMKCR7KPBYskUfd8MyeVTVlEqjcgAqfoAQqsJIc0A5c%20cGan4A5JIA2okAJeMA4nwADKywCecAAYsA0X0AYH0AYmlwPMUAizKpOQ4AAL4AD1/6AMhhAMj5AJ%20szAKbjAK3dAKFhAO4KAvZ6CsUqAFagAFqCXQ4KEkB0ESCB3VmsVZAj0GCxIIFCAG7WADpjAAV5UC%20HxCGRxuGgBAE0+eoAZABL4gAsEC5z5mha1qYCyAF3VCDpsIHrvA0lxhAKUAisGAGCjGZTX0SEAHV%20Uh3Vm/UGVHAD4ftNt4cMPGAODYAKTPABLsIEtZAKkJwABmB9cKWrm6ALfuDSzgmTMwkDkkgJEEAA%200rEGRbAMo/A0XyEDPmcfxLwFIsHU/JBZBuHUaish3ZEeFoIm8AMFOzcAGhAIHyBhiHgCd2BsB5AA%20GcAJ02Zy8aALGuALTCvLH4ra5v+4AJRwoSq3C7hADk/jvpNQCSuATbiAAt3wFbudzCTQ24RNEIEM%203LeRHgg9HuCgCRYAD0HsBR+AjRfMASBgDQdwANuQA5ywAPUQAGpgAWPADMXQtOaYoSCK2tIHAywW%20ALiABlfQDTX8AHzUR3hgCdzwFSTQBA7ZWczs1OIhbjI+4+LlA8vAEOuWbhwoCSAYAlh9vNhYA1Vg%20C21gA3wlDyWABQHACfgwDJLQDzdgCMlAsGg8Dec409jHCSUgeOCGAzDDD+VQBiuQDyvgBotEvi+A%20WfH9Ai9e3x/LDzMe5zZu4ze+EBtSFRa5CJhAAYjgBd1oAoAACCBAAEbeAqeJBWv/oC1bwGjroAAB%20QH1EAANLugA5sArykAVtQHFduXuRsKyw0AkwFBh0sggacA5esAgukgiB3gYEUGstsFfmkAJJVT+C%200A9N8AR06HE6gA9O0AabYLJhsA288JVkJwG1UAR4bAXR8COiPiR4EAiD4AW1UAs1AAKrHgYJfgCS%20kw978TwW0LUNcgxDYQk+gAXSdQFHTA7LQAbXUgp3LDGOgG5jUxZ0YoAXQACLoAJT0AaA2AZhYGwE%20EAYQMAQ+IJtmoxV/QxBQUAcGkAeKcgGDoAh/cFIUYAYfMAfMgAJrQu9DsssjdgB9cAJCBwIDUPI6%20Yw5rsOjz5DkbQilboQnmEACK/wIBF/AIBsgNmMAMt3ALuWAPQTI2844VdNIAinABL3YAJlADiVBs%20bVDyA5AEiiSlEyQDkxDqAkEB5n4B3NcCzhAHCmEFO38LzBANasIr6AYXdLJSbRAAuTYAVSAKZZAE%208AA58ZALqqQQXSsSMgDQxDIGopADGHABq9AComBwfPAIUiAFc5AL1TAQOt7sGXI7r/BilQ4IURAC%20g4AAYnIL9oBkXbRuVF8S4HAAGbAKgd8CrqkCRTAI5nALZsAM8+34dYT2Q1Jwa5ADL4YFq7AG+TAI%20SZBLuUACLsEVh8MNatBSdcWeCYCUopkBEI8IK9AAHjsbEBEbfPAKWUAJzj8AZf/gBXMgBQhwD8Lf%20El27SPbkDWtwCR5ArusZBAbgAfJAC9H+CJUw/dR/EOzmCqKgrZsAEDpeeSkTzwoJEv8ULuzXzwc3%20bhYgdrpwqYM2jB2MbJRHAEQkAYq6LSRZ0uRJlClVrgSHCVW3OFsG5eB0QQssBAdfmGzITRC3UBAr%20bLrkbsPFDQAmTEggz9YPRZ9QraRa1WrVFy/4yejCLQ4sHZvyxEuRzRI/nv28PeTWygeCTR0mcBGx%20wYMREdsyXGAR5xC/MVcFD76qlR8/GlC6wRyQw1ekb9wSlmzIlhuOMxDycJlAauOlSwA8ZAH0qQEV%20flQIr2Zt8gXCw5e5Veo2IkXXs1bdoBwm2dAb0LYpsGARccrIKQAdbLRhECPOGBIv0shqXZ316zey%20+HGDwm1LHEXAFnfjxpthP4hdu9XJc0FEBy4F6AiLsAdqIEwI30y23t+qPwADBFCwBwL7J5onzIAF%20hXeo8Echf5rwb8KqBLTwQgIN/MefB6KRocCFIqRwxJQuNHFAEv3RkEQWITwRw8EifOCBJlZs8caS%20XoRRMBRJUvFBHHHU0cL+xhijiRqDFHLIAFs7ssAxelSSRSabvMrIKFVSccoRTeTySzDDFHNMMss0%2080wSAwIAOw==" height="92" width="111" overflow="visible"> </image>
            </svg>
          </div>
        </div>
        <div class="fig"><span class="labelfig">FIGURA 3.&nbsp; </span><span class="textfig">Determinación del diámetro ecuatorial de los granos de maní.</span></div>
        <p><b>Metodología para la determinación de la masa (m).</b> La masa del maní se determinó en una balanza de precisión marca Ohaus 
          Pionner del modelo PA512 510 g X 0,01 g plato de 180 mm, con una 
          capacidad de 510 g y una precisión desde 0,001g, se muestra la balanza 
          de precisión, (<span class="tooltip"><a href="#f11">Figura 4</a></span>).</p>
        <div id="f11" class="fig">
          <div class="zoom">
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              <image transform="matrix(2.5547 0 0 2.5547 0 0)" 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BhwQWAKA%201EI4JNDRoxCXwcd18IMx8xGKKKBULGCHHeGBgoAWQWkfPkm9IJNjGjammKMZgg94cAMhfFT/BH3t%20AXytstOaHKesvNxxR3VhgQLc4L+BIII1MLBTAoQDgRotCaFLnEQpT9ktGlFIh2y5CHYoIBaRtCIu%20MLEBt2Qzmw6pzlF25CLEBK5Nar6BKeLbXkHIwq9URav86He/BW5AzxLQxSigcYNPBOITXTjyb/16%20lI8mhdG+RG7e2lIzhZjlnRcjAAtukLlPMEALE/D06xSYlFHnS0G4qQEmyAuMG6BAAzOQwtagEYlz%20yHmvM60ZTGaoYwxEIBe6QEAAeOCBVeCVHIse9gzOIRPCTiDgHvWpo5ftll4qpQkSMQEKNsEDXDBA%20EzvQwnaLdBSg1AYZyEADGoCABrw8Ywox/2hCHUiAAhQ0oAGaQOYmZnCw8YypUxas16hjZ6+ZZCPB%20utDFAgqAi5YigQk/R6tNmYyUj66WdsluoEUUcIY9lHUyAwmiAqZAiU3cgGOUOMMaK9KU9MRHJXlA%20A376s5EpWCwEwDCFKTYBwAbIogQiEMKMaqABFtC8U3VjyvyUIgA3uCECZ7hFPlCAi0+sgg44SHoE%20gDtwwCAlsMjGmbIblr/llHMy/jslCEDQ5TvwICREynt8jpApoRCAsDJ5CCY20QAfqNwHpkCBFCpI%20gGcAwVKqmIAEXxXSN+KERzswfA2CTos0MGDIREiF5IEr3JnY+8kJ1/zmOb+jKPWlH/2Mgf8AarAJ%20eGiC377o2XuOAKP75Hh+EihBt+Dhi1BAoxycqAMKTEG4HRyBYIbTEY0BEZUxEjljJNngBiCnCx+Q%20AwzgUtPQCEn3W+EwIGbldKtlOxooPu0yH0CQCGfQDwjBDjFAAEcQA9AwBzfgCzdwBvRBG72RY8sj%20AeEgCDBHCZTQcjzAAyRQCX0wCDxQA793KYlAFFuXPouwJrYSakbSbSWRDdkAcnhQADzwgJ/AW0l3%20DhU4ILG3YKvVWhr4SxzIJfNhHzUAKc9hQQOgAPAgBfSHCyWAG0chZhrxTosgCJugCZqwCZsgBbEQ%20C3PwLZowBPpnCpMyMEdgOJ2iEZjQACj/QAlzUEKoMR6YMS+IVwMYoIBnUApcYEWZgAQqkA3bYA0C%20Fw4C0FEZeEiW0Twc2AO5sRto9w9HAH5UAg8NAA+4cAcNQAAR0CHicRosIAhS0ACbEAvKAAWksAiy%200AAgcItoVAcNYAqDsAeqAARV8gwHUgnsYDHl4AMgoAkA5IeyUEaCAECxIAhJCGLEYG8SYAhesASO%20pwaS0AipQAxaaAkscGBg6E41Jj5i6DDi0wNl+IHsxyxnwAl6Ag0goGEesAm8mE1EJQWaMHqaIAWu%209ofneJF56AMs8ACDYG7HYCWV4EqqUCMX8Igs0A/9QDbMZhEHxAKg5HcmQArf0F6OsAKN/3cHReAC%20rUAKpFCBMUAKWrBT8gVf53CUR+mPSxSQeTAGNXILOoAIA6AKCLAIQ7ANynADLkBdPPAAagYPJLCH%20DTAH5xgDwUiOZBQLjshlLPAqWRMD/aCNUeBKiaAKF0ACTeA/D8ACnGAaa8QS27gmnFAUIqgAirAH%20UTAIvkAHm0MHxUCMIHACGfYCKEALUCAGBjACljACbPADpfCZdqAZ7oaU55AaR2k2JeBuFREF46EZ%20mMAsTokIoqADCKAIBtAE5SAMQYYKoXAHDMAHKOCNDUAC5dAEghADYuB371SOeTh6boNhzUhFEFcJ%20lbAHFzAIoTAHIYAaJtAHDQF+z6QRaf+CGlEgAH+DJnZgAZVwnZHlAYHAA9ugEH0gBgtAC/bZAAuw%20AJsAC5SQBtDwAjeQAygACwA0jjGQNuKBlGKCCWPiHSYABa8JBDVAM+/EARUnWerwiUXAB5/gAb5Z%20nHiJjiwwAi/ZJsK4CZRwAxVXBGg0kaTVAFPwDJxwAeVwRiQwBTugABdwDPqBFvoBMv5TGuG5dVGA%20AKXQDw/QZUiwOYOwDezQB3bwA2IwAj/wA2yAAFYKBWwwAmLAAZuAAjmgojvIA77gC2wGDfBACXs4%20B+OYnEGKJm0iHqblLZ+QBX9wDeqUCerQoUHmoQAQWsUpCG4aRrEwjJqAAihUf5SwCDX/UAmYwAMo%20wE/9QEGL0AeVgI0ymliPJBFsIpNyEmlTUAowUAksMFoMcAef4ALbYAKLwAYPkACE0JlXql8IkABQ%20MAJYagdRipRaAAXnCAVzQAsoCg1rsD43wGtslqZdRwwzoAweUAHQug4HcA0H8AnXsA6BgAShsAId%206gFtEALlIAYQNaJ3+IcxFwpmOnGLwAJRkKMzYG4XMJIX0A97AH79cAF1sCZqggmv0iYzMDVnURJ/%20MwF7IArPEAJB9nwMUAy2sAcKAAMjsACy0JmcaQGlMAJ4YAFsAKuyMKVs8LFaYAmWMANsUDcWIAEW%20IAClsAhcKgWbQAtzsAAoMAfKoAyZ/wAG9ICz9EAP3IAE16oOq7A+DGAEutgG+coC4ppyc+AtN9C0%208LAJ16OMc4A6VYQCMaAAI6kfQ+BcTWCVFwBRQ0CeYDEFGwAdE1AJZXWpInALt7AHsrBSkhUK/bAN%20/cAJGhsCbFAKilAK6WkBCPCxI8CZ6ZkLUAAFliAGIjui52ClhysLwToDWMoGBhADUEAIUaAFyqAJ%2014Cz6VABOQsGq3Ctq1AEv0kHdVoOIVAHi9AEhSoFc7AJd/S0snAqWFWowSgL1LYJuFM1ScgJZrmj%20UfAA+jqXdbQcR/EMlVASz7AHQtC25QC3gYAC21AMmPAAmJCZYtCZUYoA3JuelZALiv+AAGIQqybA%20BpjwA3bABjMgBpc5ApgQpT8QAgYwolg6Am2wCcowegfAs2DQv/0bCNMKtB6wrR4QByEQAiQAmWKJ%20ogfarxZTTHeYbj4gXXPQnSbADscAkyzQBzDZB+DXKuzQMzWwA4rBHPmxESIgCrPgtnB7B4NADvOq%20AD/QBAmQq3v7t1aKAOmpCBabvoEbBYowARZwARYAvxeAAFx6AQZACLLwAD8QsYSgDBm2CtzADevg%20v2CgDoGwDusQS3TABx5wAwnsA5qAg6O3CYJgYY1koge6rsc5A7GAgw2wnQIEjJjQBzMQAoLwAIFz%20FkXxFD7KFDCgCpxwR5LFAOjQDTL/egFVqsPoawGKAL4aW7GlYAC3Kr5i8Lc6jAAWy7dPLAYJQAZ1%20sLFt8AAI8AAPoAmkUATcgMX+yw1bfA2r4Jt8YHrAMAjwkHuaMJYNcI5zMJZNEAO/KxBatYxSQALs%202lh9sJf+0wf+YwJDgBEgohDsgBD51EF2IAoSV4WfgAToUAzdwCYjML/UYAc4rLd7WwpskMmKYAey%20gAC3WgoWsF/hK7mYCcpSUAYjEAJk8AELEAKHQAgT4AHXwEOfi8VbnKEMsAS17FXA0HKbEMygREaS%202CbCbALYyBIoR3cNwAJTEJfIqwBDMHwhM7Zm4RFT0BgqXRTPYAcw0AQ3sFKfUATF/2AC1MsCCdAG%20UFDEmty3FssGsmAAfCsGo2AABnAJo1AK1DAKoMAGjuAICDAKl7Cxh1AGRm0AZXAI1JAJ4uALHBBQ%205vAH65AOXDxJ0zANdEAHS3AHdOADbdAGc2wq3FkuqKFl66UnqvAMZoRMtreuz3wMEtTHCkF4CyFB%20WkEerVEJMNAA58QADMAD3VAMxXABmJAATZC9OmwBFovDgTsCUEALCWAHl2DUCGDUl3AJP2AIjlAF%20CeAIBmAIVUAINXwJhmDUhnAHhGACL7ACvL0CAbAEK+ABuXwDfAAADEAHRsAAbt0GUiAGLzkaipOW%20F1MDgZIHPHMBXqeQDVAOCfxyL//nAz6we8Lr0SoyARRyBJBiFAN7C5UwwaSLBKYQ2cXQWCPAAuJL%20pZttyVwauAmgCQuACVVQBQhADVMNCqUACpeAAI5gBmZwCCMA22RwCmSwAFVgAAmACCBgBBo+D/MA%20ABw+DwJlCqGACtZWBEvAAMDgA5vgA8gcBekDURNdTDvDGyLwP4dqftq5CCmXYjFQDq4rBcGsxxNJ%20kWMpBa9CEChcdaUAAnzAMQwwCDU92X0wAn0gpZvJpWKQ5dm7sUFNn6dgBqCAB6BgCCNg1QhA22VQ%20BqOgA2WQAGawAPpQBVatD0sgDvOwAvOg4UFgBXxuBXfAB45tbaEQCh7QcjkIifz/KgixsAgNkJcK%20IASImD7MOJGUwIxzIAigNRoYrRgJYRacsAN7sAFRsAhLSwnI9Ijf+HI43VWkSwfC8M1ssgiYWQeW%20YACgLAuX6dSYAM8JcLgLYAb6YABjfggJsABfTuysbQgWoA9lgAC17exHHQccngVxEAfiUO1BYO3m%20AOh0YNwrwABxYH9nxAPwEMx8aD1RIAL/BwQCUA673MssEAujNwfP1UzhdTzCOzX9EBan9AwsscbB%20+Mt6CAKwENORVQTlwALd0A0mIAtMvACYyaXtC88GgKVQcAK0ILlkQAYB7giG8PHcawiHUAWH4AiH%20kOBmwPGHYAYfMA9xEARBIA7i/xDzQfAHLx8EABAARpDWDIAKbH3LPjCcDUAGDZAABqAAicAsG7AI%20rtu6v7x7WoDKfTAEVD8EfXAMIXAMQ/B1KDAIdTAFdVAH5XAMV88J3zqfdTAEpgwFPIAKqIAEauAC%20pEDdT4AIR3AG7BAMH98MufADOIADLuANkLAL+hDnh8AB49AMsB0CbQAM8tAHdWAG+DAO4xAPC1Dy%20Ac0BH5AGVRDz2H4AoA/6fB4HRgAAVlAEac0Dn0AHDQAMKU6cIYAAlXALAwAEIoAJLsuma1OODSAI%20ilP1Wm/1U5/1IfAJoP8H5kACaU+vdYDKB8zdqavTmzDiRABsjUAOUjkAT/AnFP9AAYjwBLoQDjiQ%20Cq3QCvIACczADJfQDPkQD6OAB5fQjcCwC21QBmZQBYnfDAawABgPEIcSLKBl4ECQIAf+HEwYxMo8%20KwBeAeARiggfOnQa+ABGos4QGKKAjIkwhUWsOSmlNIghSJMmQSYWPaBZk2afOsdCMAjyZ92BJiH6%20jRnTJ0SIB21A+ChHogEtaKiKEAnkogOVAU8GIEqUh0qhQk9ayMg1QxgTFd68kdgUz9APMYQINRFT%20pw6JNlXM4MNX5dAlKFUcEfrAYdShP4n3BZk3L46Vh0aMrMj3AcWNG6HofGpQLkSfSrNuzdqjI+Uc%20WTFixGqwSYoUTZQasJhys8//ENzHHtTBiaJIqCJ8OIWoNOZfpSY0faAgUa4jrSU8iqgJhONq1idA%20kAH5WghIC/BnSLmQI2ztCWkcCiQYwcYCjDo+jvUpc6gKX3yHCHEwA+tFmgU4WMghAAIIAAAvvABg%20hSUCOOUDYKa5ISPO+lDgmVmEEGUKAwgp50MSQhTRBxKW4wGYKeqwrSac7GrDsxAumCKGRBIZI5FF%20LiABGkoWKQcEQRbA5QZUUEGikQ4K+WcAJ1T5559CyLkujyfEGgAIcraxBgpppFHmm2/QYWERNvAw%20JIFTaPGrCjIsGMUQBCygxoBTHDFiiRxeeCGHAgoIwE9YTnjhhByck2qzBjDc/6OfY0ZoYgGm2mii%20DRE/BObSUDxgYJA2QlCRpjo+AxXUOkxoYop/hBhjjyYawAiEOmALAToeulBDDSmpWFIXXZ4spANg%200UBDrBaeQASsJcdqBIcvzyhBFgsOWQCWNMgw4JATyDDjEANGscCAD9DURx9CXyiAjBfISMOMBFAg%20KExoJmRAkz0UYIeFJqRYQN+OYGxjlxCBGcQUBsQR5w4+bhjEo5o+9TSETmOQZYcr/9nEF1zuYAAE%20iWNpAgRceDAFCSKu0tUJXW55cgxEEPED2A6ekAGCmZ14Ao1wQGgEA2U2KWEUS3IpZZQEPjBjCHmA%20gWUBRxAwxBFHDFggzxxySP+D6g/KgKWKNgpgoxQRFBhkEDpwgWeClqSYgxApCJElhKZIDBFgjgjO%205ACFDjCHAYV9aICEozYCoSNMMNkhgkT++SQIg+eNRZCTCoiui0BKpoIKIGwe4Ml/nKAAZiWccOIX%20GjqBAJF/iJlmFWKoEEGCcziQxpBROEiDEohNIaNPWjj4IFsOXjDjhCX0ecGL430wwI5bBhBCAREa%20gQcaX4oowgQUMJkDhLg0EcMHEnfZ5UURSdglDToyuUahdRI74OAl6GDgEw88+ISOO7IwgRNVgDDn%20mix8Ah6paYIsBPEKBvgCFV2wyuUSoQutbO4fb3hHCvygBCVQoB5J4OAXapH/AAc4wAljsFmV8JAP%20DtCCFlBoA/hCUABaHKJ3VfiAIxbwihOYoQAfWAGDctCGH8AAEQNIxAS28QxlNMAUvvjEDZpACUrE%20ghYNgMImSMSRS/kAYAAjATBuAABzKCQxiWnfGM1IRhAcQxU7uIM4GMADEARFFkFBoAK7IAlgFeII%20muPcG2gQDAwq4Q1feMQ97vGFLXwCCUiww+me4ATwPCEXliBIiEIwhDIkwBALOMUoRkEIWujDGafg%20ywkWQIZZAOEMnNjDALBiC1vswBYbEMAiZlCCOUBhEZtYABSW8rdOwa05H2rDvwbmgUwg5Bo+WQje%20nIk3n9xAjTBgQBEoAYxy/7yomIt4xRIUSAQkdcAWQKiSBPMwiXrIgxe96IU97mEDPTziC1hAxa34%20AY5fLAOSkBwAGhSghRAk4AGVmFoVCFEAAxgCFmQ4RAHSkIYTwOIUCBjD5ozzj0SIQAjZEIItjvCk%20PERgSQKwgAAsUQKINUBggwDG3zbyNxBBAgQY+YQ5siCOTIhDHQlRRyaywIA7AIMTs+CEKfByFEoF%208xUVqZUSOuAHcmQlKyCtRz2Cwc5ebOEeerCBPFlhii50oRbg4McBaoGIYkkQCDBgAwJgUIUA0MIQ%20HOAAe5xQAL441AsrsIAqBlCxVImgA0KogRtEYIsBIENYS/prBJ6wgx0IQf8Iz7jAInwkhU28RBOb%202ASlGjA+MgwMBaYwxQ1MkQaW7gIYHwkGJ3YBiTbUAbavhe1Sb0CEaQDLFuRg7BNAao9f8CIFvUjG%20VrnqiS0sARVr4MEXPOEJV/zCCRC4hRtscTkg6KIZhhjBCU7AAUOIgQMWsABeTxCANPhpiAOgLCdE%20sI1EoAGWbshDHv6KBh7MADtoaME/RDCFMzwJCDV4xgbYgQkWtEQQWQTcUZpyVLvsBhITVlEfICG+%20CbcBEiGABAmW8IqoyKEDSiCHLXr7JCpMggZYdacejGEDT2CBD2CFByPu4Y/oOgERT6jvdf+qgyqc%208gMfKAU1CHUCfBRgr17/OMUNdPCMM/RjCgqwRjFIoYVvWOMbeagBMgZQA18sAg25QEaZB1ACeHzi%20DrhYBGPzAIRE1OAMIphFJYYQghJd6kPZRKr5LjzhCWMY0PKABDCKsAQQEAGPJMZKBAdgXwg0IwUU%20gMAX4NnVLfCBCGpYwzAeUUhGvEPHe7gKsP4hs3EQJGqjUAQtvGAIQ/TlBCvIwQpOUIILCGIO6JgB%20KYohhUiQQgpn0EIJzoCMCCT2DAOgWOL+AY8KgMEDzjuCff9a3/6NAQijeQYM5gOxYr4IEvKgrQ8I%20DYk6nJvQwOjmHLqQihFfJQ87/kd9/4GIN6QgBW9ghB64+ohMb3oNtUjC/z2SwIhOvMEJ/8jVOKsk%20A0fkIAEGgMUHyPABWFjiA6/wQg7mkQ5fCIAAE6AEDxYRCWG4wDySkIQwyiMJF7ggBMU4Bgz2gIwj%20CCEPm6jAGZz9pEcDAQj/0PYRYOkHW4AFqtvAQCNSYYLdQExExQxVE0J1mRtIoQgCAMLm/vr1v/5D%20CQ5IgRNoYNxH+GMFm+b0FV584zdQIYTA0opWiE4Iq5EhAZ4MJSwAYAlDeCAdFeABFBDMEhbM4RuS%20UEvjJZGKVBRDEpTaxAc2MYdFxKIGEsDF5tBAJQkCvRB5GP1XqOAHIIgTquTIxh72UIl+cGIKuGlK%207etQjtLOARMo8HkeGP8L9r+GsBdmT4INjJF2LxBh07hwuw3gPgYHdCD6VbL7GC5x8YgeAgH4MEAB%20AvUHeogDCgVYwANKQYIA+AAGAaor1BIABTFYQv6WgAIKoXCGZ3BMAJuYgnt3kIiue7SP4hwCBALS%20Iz2lEzqhU4VEmIUMqYQpuACaIAHMyBcUOAJnA76wSxxEgIAN8rdD2gIv4IM1uAK3M4Yk+II3eAJb%206IA8iJkBMI7L0QFOmhZYMAMz0Id92MF5+ICH4gM+WAE+UAQYKAdQCAEOcIQR4C4DoL/2CAegoStL%20QAABoAQQOIJnwAQ7mIERmIELEAAoOwMhqJFqkyBduRw0pAJVUIUUAIL/NlxDIMgQB2zAPvABE5ge%20e9PArxu6DoQDRii+R4ADLBgGA1mBE0zB02lBuovBf5jBPhkBM9iTB1kBHSiDUygAczEDPImDFYAA%20amAGaoAC+luAfICCcAgHUTzFSFAGZYiEMxCFA5oAC2CDCcADC7iAERCD9kAAXvyBUlAEEbgFv7I2%20AiyEiloZIOgfVTAOVciDGxEBIBCEJliSfwhA4PsHYPGDQpiFeMCCLQCHLcCCFzAFeCgCDzAGFKwH%20GQCP+nLGGBwDUxsIBDgEMliAKjgBUSiDJeiTcYGFV2AGANiHHhyHcbAENrAEKZy/GQiHcwiHYAuH%20GUCAGOABBGCDESAA/zuAARHYAVHYgFL4ATv4AV7EhB8ASQXYgEo4gxooQwLknIt6kgZUhRoYOiD4%20KD0EO3FKkkmDgE54BxpghRXwADooAgawARtIgnp4A3asr3ekAmC5hQRIg25Kg1OwGh8whRPQhx7y%20EwCwgh5yiGF4BRBIjTlYAEuYgVg4B2tohGVRAbeEAguoBBioBFlYAXNYAR6AhXIQAzbgBB0gL/Ly%20pIpkAzbAhCgoBRioRcnqH/sSsCPYnMast6GjRq/TQ6cMIV5QAn2jgDeAAApIGjW4BkNiBBooofoy%20RqJoRKywAEI4BUowA6nxE1PQhyVYgQCoggJYgXnggmGwgjj4A4H8BP8G0JQcyKzNakW0YAIciIQH%20kAUYGIEfAIEl+AQjMAdxCIK7hIdVswAdwINcEJpSCElMQIALQAATwIQp6z2vAynfGzoheBKb/D3g%20u8wQcoBeoABtGAZteANq2INtkANDAoTSbIFrQ00ZxAooWAALeIB6NIMc4AOrOZ4A4JMTAAAjAAB+%20eIwg4IcgyIAwSAdXmIctGIZhcIYgEwQmcIGJewAE6INLsAAiLIURaIACuIEVuIMVMILGMAIvWIA4%20GQWRRIAfKE8BiMDCuQB2mIKNTITQI0BiZCwC/CvwKBaiSwEI2IItcIV5wgLPpIBk0IZmIFCTMdCK%20eoIx0AEQAAEYAIX/BTAAUUgDYDgFYDiBNDieF3CMODgIfjCCPM0APw0DQA0DMAiDCviDOzAFFHgA%20CxANUSiFBygDFh0CUFAEHYABBNCTWsuCLHiFJGwPOyCv8JwCduiBKCjVKOgBE0DSC1FJJm3SsHs0%20e3uSKfWtMbiFN8BSOAAEcFiGZngDzlS4R2M9bdQ3ovgrRDi/BVgATHwBWGCQAIAFZggGHQiGAgCA%20BZEMI7ACHMuAaOhWbw1UcKWHChAHACiAQwAFURAFHQCFS3AaOCEvPDATS/gB7rzFXGQBNviBHugB%20DejXHigBTPhXLTABLQhYAtiAZ1jJyOQcWJVS6tucQvCDW3AHGagF/yzoBDOYBX0rBKfsAHIgByXw%20Az9IgTL1LU4oVR/4ADEIgQ9YV3mQB6ehIQMpAGYwgyqoglP4BX8ABJ51hWqoBm+NhkAFg3SgBzA4%20WnH9g8mAhUvAAx3QAVGQV0Ngg1EohSaEzlKwAAIoyRLo2n8FWC0QAA0oAROYAYLFBBM4zx7ghIQ9%20gq6LUiqZ0iHi2DGQAbt1h06wgDEghxQAC5h5Kj/oBZKlPiAIgQZoAErwgVJYV+8jgzIwBAMgl1fI%20gYhKgw/oAx2AgGTYAkD4WVfwWaD10A/NgH2ogArgBtTlhqIFA3rghn3gxBNwBEPIBVu0g1JggxJA%20ALRlARY4z67VAv/gDd4ZYIEZAN6uBVgT4F3iTdUp24HH5JwQWpI88IMQGrtyQoQQ8oPLYUpf0TeS%20LdN/4IQ5aACkCgEd6pMTcKg0QIEESAASIAMSSAAyoIRh+IVfwAJwAITPdQWe5dkg2Ic/QN0K2MHT%20pQcDTgcENmB6SId9uEseoIUfqMVnqAQBiAJMkJESEN7gJd7g3WCzTdsxUY0Y6F122IA92IHoRbH6%207ICsqKixS5LL2cMx8F6iqBJVwARNmIMHaAAv+IQX0IXa8Y8AoIQFIMkLUIDNYQey6QKB4c1hqAUu%20cAZYoIRBQIVAWAXdPIAd3OItPt3ULWAD5ga8WTNKYAFO6AZ2iIL/YsOE3zXe49WCGbCERYgBWzpP%20EFYNWYgFA1qEOmiFVHgDu5UBbOwAN5hVJRi9KimWKZ3hjcWKKxEEEhgCTugDQuCDFxgBDoAFqtmE%20EdiEspWCJiDeYmgFJpCHIYg1Z3CGJ14CipgGOWCCOn2FQvxNbjjddEjdok2HdfBi1WVdXT6AOygC%20FCi2cyjmHoDjGUhmZQbe3RXhRVBeaJ5jt4yHeFgGdzis6SOWQlCCRiOWYvHevnXkM7gBeAgBH6gD%20RfCBHJhQyx0FHaCGW7C4U1gAQzgBaqCGNkgDXNgEqTkESngJWsAESkABeNCEDwCAJUgAf6SFgZiH%2069zBAyjUWlbd/31QXdW95aIN48UAgByg50mlhlEYgUOIGgMohl4jBVIoWxOwskgQhEhgAZQe4bJl%20gUho6VvaAJ3jnIV91SXBCs4ZAmq5mj05BDPguByAhTIwA1Bwgqi9R/K7hEsohxcIBS/ggQ+QhQQI%20gRFQo0qwABJILx/UzRywAEcwkwI46okwECvQYgKugFvm5QRe3aQ9gHlYgQ9AAB1QhDeBY1JAB0FQ%20hteoaXQghZOOhGc+OUEwIEFIbCmIhRgI2wjY6ZaM1X9g0F0wgw/IAS8ogIh6AX24lhc4BUM4hKQu%20A31AgAcZgQUQgwLgAYKAgvYdAVFQhB/YBFhAAGqwACgwEFrIAf+Gphb/8AJYoBMugIx5AE682WLF%20eGvTLV1uUGBu+ANOhAVZmIEpmIANmAK0tayWmKMRboLFboImkOkQXmzzloVFKAEBiABk8D2GtS80%20OII20IcH6AMEkIcquNQCmNxIRJ7OroKUgQAzEFJDwIMfSAAxSFYyYOiuloUFyFr5dYQ04OgPgAKp%209IIA4ABCQB4zIIMlSINDqLUA4FNxyNOKNt0BBuDSLV3Tfe6j5YZ1EAcP8AVKEIQLMEx2uIDkjeYY%20KCBBiIE5kALI4d05noNYeBxBWIRii4Cc5hw0OAR9mG8zSGpm0AcyOJAXAABYOG0dGHDSvsSkXgAS%20sIBSOIQHaJf/BSgDBFAEmtABpzkEjVuBrqyhUkgAL1gCBa0CQ9DEjuuhOjVXuIKIeegJxSjdP7Bl%20BB7gFj/gQp0HBgjtNjCAB2CD80TbGRAD1djuPG5sx8bj19DjTZAFFlBvETiDCNgFizuBU9AHhwIA%20UTCEF/iAACCDrNSTD1iCTGwXWCgAGFCENmDQAgioHKgDMu8DPBiBAGiQjBsBb6GFEzAAqYTqQ6DH%20D8BEM7jQNEjqPJH1JcAFOQ+jhTj05t7iXc7oW0bawfuDIIgDXPCFG5ANUa/0Cy6ctA3yI9fjJIcC%20iTlcKchjHziFMpAHQygDCb0FBMDBKniBJRDu+jhryn2BU4LN/+E5hUAZiBcogyVkAwhA9jSgBVj4%20+FG4BUOgBTbIbB0wAIbCzQNZARwkl6v5gENgdjbI5I9Pg2ztCWg6cRRH8dLN6ANG9wFeiDgwh09Y%20ghu4HUoQAwNgAQMQA6d/+hCIBUJA8BCoD1AAhTKYNQRBAFM6BR04aktMAGZNF1D4ywQogxF/hXRZ%20AWY9AQRYZzNwE+9yBBl6AcNwhBd4ha0hhGmnhjLIGn0IgHU1nhyYcjOgBVAoBX/coRyAgkzeE39c%20a+Cs5eZu8YlOXdT1eaM9WqRd4FteBwA+CHEwByMoghzwgRGwg2NIADOA6jJQF3VZKGkxA2oYgfy+%20RLHXc0PQB//7+PgXYPn/sHV90GQDYANHCAwVOutX+AADSAAHYf5AqQJREPkEKPtbIJQcOIQ6GQVH%20YGgEmJoVsPBSCJAEsARm+ACHzlYr+N8KUIh9SHQUf+vlTmAB9nwEHjyItgIPOAXHBQgEZQ7pO3Xq%20AYU+XsjAKhAgzaEEh3KcOIRAnxkzp3RUyVFAh44CBXKcInOi5IkTHAwk4GCmyoI0BhYscIQA1gJY%20h8iQMQMKwUkyCaghIJMjR4CGaT4YcESLVg4ECX5UYWOITZkqJ7x8qKLPSxoARqwYMTIvjrgDf7ix%20reA2XQVucLnFddt2358DWYwAMLjAzCVQoPqYYaajjI5TL9J7pCFDUN8SMqBgFjCYA1bKKrBWfCjQ%20uUCVMh9e5PhAq2spQ7AQOBJpwVGCDwvKEFowgsSSlKfalDrBZ8mLS2xGGHj9Ic0CCzqaUgv8ARYz%20LwWoGXoFqwqoNF5yXzK6QlyQP0HU7iNv1+2+uNzw7gWwgmfmMoJPBDhVoExAADs=" height="91" width="137" overflow="visible"> </image>
            </svg>
          </div>
        </div>
        <div class="fig"><span class="labelfig">FIGURA 4.&nbsp; </span><span class="textfig">Determinación de la masa de los granos de maní.</span></div>
      </article>
      <article class="section"><a id="id0xbcaca00"><!-- named anchor --></a>
        <h4>Determinación experimental de las propiedades mecánicas de los granos de maní</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <p>Las
          propiedades mecánicas del maní que se determinaron durante las 
          investigaciones experimentales están relacionadas con el contacto y 
          deslizamiento relativo del maní, con la superficie de la clasificadora, 
          así como la resistencia a la rodadura.</p>
      </article>
      <article class="section"><a id="id0xbc9df00"><!-- named anchor --></a>
        <h4>Propiedades mecánicas relacionadas con la fricción, el contacto y la rodadura</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <p><b>Angulo de fricción estático (ϕ).</b> Se determinó mediante la utilización de un plano inclinado (<span class="tooltip"><a href="#B1">Akcali <i>et al.</i>, 2006</a><span class="tooltip-content">AKCALI, I. D.; INCE, A.; GUZEL, E.: "Selected Physical Properties of Peanuts", <i>International Journal of Food Properties</i>, ISSN: 1094-2912, 9(1): 25-37, 2006.</span></span>).
          Dicho plano permite variaciones de inclinación de la superficie de 
          deslizamiento desde 0 a 90 grado. Posee una escala que posibilita 
          realizar lecturas del ángulo de inclinación. Se emplearon diferentes 
          tipos de superficies de deslizamiento, tales como: Acero inoxidable tipo
          AISI 301; Aluminio; Caucho; Madera. En la <span class="tooltip"><a href="#f12">figura 5</a></span>, se muestran imágenes del plano inclinado utilizado en las investigaciones experimentales).</p>
        <div id="f12" class="fig">
          <div class="zoom">
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slZc0zt9%2020Ndh3uVVXqGMu0rioanrJxEhU6CFRtUCdjblxIsxH3xDU3nfitiF+n3zGY2s4hzVBRT7HP/iqWK%20K5w3NVe5vobKx+mSYK3HZumRJ2Edm+6HrUkiU9XpGtFIkCmUw1kUMTfIjdasgicJOqkld5JZ/mgv%20Veme+SToPbElqStpO8tSf2o7ZuVLjXv721VPx552LY5wfTy8rmpYyAjWSuf40IKdfIqApmCBFZvW%20GNHuZA/DbS1RroDnZr9kgyYyFtOck5cVMKRBYQ5rs1ik5qedGWLyu1SdUcWpOzsbOaf0mrZ+6TVk%208fnd4vzzknFW1+lWyVQFPLd3V2TYBxqFatYB2YoHXp9Vqrjg+tGPSV7cTRZFYcs3bhjDQGpPe+Jl%20isMUrsZlzfE7c0Tfa+HYY1K7SZELmwVU/xv2yR9jxYgRckRL/hK1SAJybfLhetHOqPTYI7bRFOgo%20PwcXi0qAPRZQ7mndFnF0XKUa3JXt6UUS4sBqrmAsWE+Hp/gOFKz4buuJtjKqDvSoeIK/kSgbcZSl%20UyQnvZZHoyXtykWL9nAd986q5XQIL3in3/PpvY8a1KR+mQ0bYwU3m8KKvqVxxKeTVjI/hwUuE+bG%20O1UqYwqCWmyZhV4hWEpHhUfYvfULklshDRYwZuJIFsRPEhqU1SeW6sUSCx+uGdXNBD3boNniprZo%20RbQ2K+neRvbYHHL5oqQd9o9UTBa3nl6rAmYvZnFjtfxCVNnsLyU9YSDyldO5VgTHYNGINP9D9I7w%20+xB8750uvwxFdjMfRmMPpcDeOiFu1opLXK0hNkFKBV8q/pvEIcDETF2xfTcRZR4CcdNRVs3RPqRk%20En9iFqcQOD4hFEjhEhRYGwSIJ45Be95lRqZxe6OxT06nKZnyCXqwB3pAbHvhbSxYOcOXV4nlHi8R%20fgSoGI/0SzHSGGWFVldATWOxYOBzR1zhEdAULxtxPLiWInQXaZUkHvsiaWpBUGyXOC+Bd/ORd6QG%20eIDnf8HDdEz3KaagB6VwglsHHQ9zXw5zVfhUZnmBDbljM6MmW6hTIT2RCGWXFZVVcx/2cXjSNznY%20HS73HYgCHsXBbPdyiNgwCHlxWAh2R1T/Jz0c2IHuNDb9dBqmEH8o2DS+14IteAUg+IFXQjwJRBw4%20ETlj4Xbf5TsS5EYcRkXiYXhcBEWxZlhnwSNSpGwykUxqR2W/URwHZnsr9ELyw4XsNzKyxQqgRh+B%20MIafQAfEhn8s4ntneH+GkREGlxH1YY0akY2ogw1CdCEY0hd7YVNJ2EQ2qIRisSkW1oN0djHi4TWB%20kxI1UTBihRnVMxZs4XrCMWXed3k5V3sKoTaoYRICWRoHsnAEWQqYSAcpeHScyCxAh5APZn4PFg3E%20N0XXkJEA5FAYAhls1DHl+Dx+YyzREA2j5R1XQDVtJXKF5EfhkRlmxhc7sYt7oovHR5M4/8l9T4Uc%20cMeEVSg2tUNM/Rczx4iFfId+fbdKSgZ/ZLgHEDdTUBBQIrRf+NccRnSR6UhkAmAUrkAt6cQX5TST%20IUksoXM8EpRnGPJEfgE6MWINBDWPjRQ5PdIXFcNe+JhnjnhREfOPUMUQmUJgFPZ0X/UZB4lihmkg%20nQMFVrB1MaKAgWEFe0AHn2CCD0l+qGOZBneNobgQyIKRGhkvtzEWGRMSYgEx22RN2fRhfWFF6fUM%201rAKCTIclSGWrlCaquUYfKhZI5F9jQM9vfiEFwVJm/FPw6gyJ/Uf2Ih+2ricnaaNrTAjRhedj4cX%20K+CUUCCZdEBt1DhC0AWA75iVu9KVrf9ALbooVoPCbBmlRKmpmn6BAFNkDdVgDW45JzXhGVJoTfWz%20IoMBGeXIGTdZZS4RMZiXYQtRkIOJOhOZfgq6SommIPVxBXtRAproWyUwIyWgBykISnrwCU3jbYdi%20jeHnHiGKDSEqDSM6ohepbkPiHhkpWD41nqJzhFGEntCjnlBVl3NxGO8Bn9bACr1CYb82nmVJFFiA%20BSMmRf0ZEkjIhC4lFo4iZWMJhZD2kwkBITO0KUWpnNCFEeSxddUJBSm4Bx0amWLKkPGnBxWKZvrF%20bFd5K2JRQoixE33XFYNQmxFzCh35HJ2Tnmbpk8eBin3SOVmEkfDpmgQ1Eo7yWLECIlz/WZf7yWbH%20MY/jSXN4WRSMGqVNNH5Ocpgl+Wnhl2ifimgkOqoiimiG1UHYY4IomD0buh5P8Anxt3UOGRgu8anY%20QFDh53a2aqubqRAZMR6h5INGkZEBxDcYAqNFER1xoVAHA5wZdjmC2AqvaQ3QEJsI8xtEoSNLihFf%20WT1VkxwL0qe6eU7FN2XAGEOAx5zOtBXXQEJbNIbwKoaSCX8SKq/OCEVmFRiCMKJDE3535mbkEQic%20EzWCkJHWmogQtVBmBaUDiCI2mmEfBkIsICnXIJ8Wa6060ZV7WaetACIsYalctlTIcTdg0oeepx0X%20dXweGBqFGaKiSoOjOoNoAbM0mxFu/8YKsLoHk/kJOpuzzQhKk5mhiFc9OVezMrsWNeszL0FFAFZn%20ccqOBpsRwPQW5kmXb3e1MnEciiGAU9Ya0HoFc3UNq/Ca1wANGNICQROxY9darQA1VJhrR2gSW9MY%20fvqfuYY4VriFzXkhJwoTfYsRIQqGVxB/zCiGYsiUPBuGpcCQT/CMznInf0uqksuvGYFcGNJjN2V1%20OoqM0rMlf3EXwlETLYkVHvawd/u2S6hgaeQh85QtrQAN1vAM8WkNVFNAQWISp/AW9sgsfAmusSJy%20A3oTfYFRtieRl9mctvoSUjhkSuaMO8uz0KuzPVsKsKoHdHC9HZoXmGos5lIgd9V0Ef8bMe7xRggT%20GCaABcfhClMXL29XfNvLRJpCXvrSNwX7mquwCn2RtkFzGI5CEtRiXpXzFwWLupuFEYPQE4OAti7R%20th+qTZo6p90IFrsasxScFhO8KdgDBcrAlIUbr5e4RSkYpjVCo5DrtxQMs4BLJw5BuRMCQxJSHqnH%20HdBhIogIlxsZLDbILqkoZllZFF6QLcj4DNxxSF9yGEExnlUbHajGAuBKg/35uy1xjtl0JJxqICN6%20tBjVQQr5vCcIf6k6htdrvddLB9VBo3ZbLN9YIFTkYHADLeXUdY6BFuvLFgEzj0rxEXGcikmJEcj5%20O35STjq2lrvyG7e5EVYLObdKwAr/RgsIjA1ecGVK2Ed4qxAQPBxXfMIzm8lIm8kY/K4cbLiL24xi%20SqZ0IKZWZEkUvFyMs1yWqxHtKmu6w42xsigsB3oyKY98hMsYIbrxwssfcQWAerpS6kifOBqPIQDT%20s4EmQS8JFSsvYsibE1VKoYu+SaUJkZwgWsHe9X7wR73xB71djIIYar3j7IzoSakOfCsHG6KnUctw%20HJfGUhNwyTfvazBbkUfkBbIydSj1Mi/MND2BwWwjmRwweyIwKxRnhxYuOoXWjBBnkbw3CgWE+8mF%20K8rY+bMkrE3M5RCH6hW1paBMtXOfJy09AkA1PBPy3Ei3Uayki1HbCBqJBBe/EcBX/+CxaRSy54ao%20B5ybKXIkiWy0iXxgv0EHpuCzraqqJzjOP9u7F6W06nqohClfprcoXLcoidabc6yEAzN1R7NNPqWu%20ylMcf9Frold8/phD+QoYDHuWiNzWb5sW5CllC92wXZXCdv3TEPuuoGy4JtiMfg1K0TaW7yuct7Ir%20TsaNsSlyHtUdVoCMnNvLvYnLkwWauTwcbJ0cBJUgYFYnJpRP3spLzILMDAVyRzgI1MwW1xaF4KpX%20OvvNOpvUJjjOoJQnZ/w8rYwWuAobobFsXidyyOiWy5vVKFLH8Ewws2HP65qtu8t428kiioFspJKT%20GSXMHZExGNjQB8En7JzCHlbPSv/4ySZY0dgLnPsjieNnNIgdwQtVy66SGAaLjJp3LymNy/P9q1cA%20MLZhhPijukETEoizvIJVILBRIMuNf97Gps89RVREddPMQKrEFkzN09q0qq+NgrFtvZBs3L+YV4cq%20hQWtvMYr4BqRmNoaMQZLrMKdZy9lIlMn2W+nj5CkGBAVdxaiJTkYejh+ZQiTqI+FUcsrojgpuq7g%20Bdlna5ws4Tsy4i5tCpCJuBvKkFZA3ZFMLK9BuSPa0a5c4wY4KpiHjB09zygd5jOtF3qyyyyd3wr0%20u3vwpEztYaTIjdhYgA+pxAIDErTgKF6wGnVWjst7YEFRLkYeOWrRRTukeesZK9j/I84Y+gQ5NxQa%20VuV4rbyTZHBHgW0LPCu/O6wnjiI1cUpRM5aI2ECDdhjXtMBwO8j3DNDMvTCBbUCFNlfSzUQf3hYG%20xldp+1c+8p0FKx8iaXSfN1qBgD1PoAdJkOHM+l0el9xkUWSIwREZWa0ERd8qbYTFioj3Ijck8lTH%207jhAR88CHqIADRjTqK9rQQur5xFDYrrOFuhixcQfFxfprqMaWdttEQ3CRh6JsUWkgpsv7t1Ks8Ka%20fLo/nqAhwhGfuDwZebEnMnUML8dXSzDxOOqVwbWJwysuwy6o1FuAQcLvkcgIVB7C54Z6JWW07qtp%20MVrMFDQ6kW6h0z6v7O94IqZ3/7WUhmUidwLzDF3yxEO5XNFQVlHJcsM7fRMcGAG78zntcMnLMqH0%20gKUbASYhx/HjBazbcDPiqnUegpwRjs0K83nuv6oTLsPrqWmPDZwWQEaie7ACUGAiBHQZDeabHWQZ%20lBFKfR4TeIpnkC7pBs0gCkKRdv0ZYHQYiWaxwB2p+UjH047EpN7jWIHCyt4rf/E5H7Yo+TGtjh0s%20iTATze4ylzxkMnxxhG3yaCGmAVCAyxMeC5VRXLRFrD9huyiuLg1GFNIQPG/CmY08cH7PctsXUSC+%20FTut1hDm117tTR9dRcHmJF9Q+CwSfvWrpne7uT6s8Dlgq+AZMSEc6C4pRrE6df9fLLsLGP8Y6J+y%209jHBYKXJpjj/SHFvCpQxHhlS9xKuTe2eXj7T0W6dFoi23QPuoNwOEK0ECmJR8IoghK2uWatmzdq1%20WdgkTsTmaiKtiRYlasTWihbGQQkFDRrUqmSriShVdmQpcSXKaCxVRnspU2Y0Qa0QegmpU9CVKyxy%20XlvFapW1QKxYXasp8GCgVqxotqRYFWVVbCwCbOVaFcBXsGEBVIWyRyJChAdzXgnAAtsVrHHlUmwF%201NSeu6bgXs3oiu9cwIFZmGgbgK1YxGBtNqXKl/FLpotlCmzFpy5boIKwCCRarSErbBgtYkRpsTRL%2004t1rs7Zym9gitJSxlVJubb/QtutaPpEm1BnZoUMWQVa9Uyp646uTCe6gkUQK91/YU8UtAcoiyt/%20E4ulq7L3d60Ip8NuBSUQ2rutq74e334iW67xtyO2ec395Ny2OwpU/R3LYKESumYhzxqyTy6MJEow%20NAb9ymkk11xLrSaX9qNrtsckm+mlVpxzTpBTHhSkBYSuWWoVaEqBBrrHfrpij2hYpOo+r+b7iiLS%20vLhikA81e9CwvWi0ag+88EJrRiSFnKsVrZrkigUbw7Kvppgcw1DDjqaKDkuU0kJokKCA9O2ahlSx%20BprILFITNTbXLOlB/k4jj7aU+Kvwtv3wjM6nHnsDKrsBlVKxKBkrQg6btA6K/2oqJSeKkja1euPj%20imsCiQK77Bp1yYrzTBFEL+kq0nQ6+OILIEqwtlQopgOTpNOU/PSjLE+ZfuqthbYO4mMoh1Tx7KG4%20FuRITZ1IWm0jyaacrcI7WVK2JkHwU61L1lhLBCHsBLkGGmuOSsqUbiN7yZWfAowsJiUfxeqgSNkV%20JJBAsDPPlFFbIdLT9JBl1tVRXSpsK61QvTFDZZtF6dnJWsOJMlO0VM1dbFkQILPNZiGz23BXIk3U%20cV2DM9p9AQt1ySxzQzS/jqSxzUfKREwrCkVN7HYVz1BcyiX+/PrzuWiiuQbd9lDFytbvMlullBZY%20CMQUWDWt61OmxetXyFINg//iVIGxqdJV+1rFSiWmYmXRNprCvurpdps8yLngqnnmV/s4QjbC/HzM%20qVm8r7yzFXr13K9vnWhdCVtc2xKJtVOuA4ozmotK6qiVEnmtFeYyM0Xc8YS+025b2TWKyXvxGnm8%20u4y86y+MNp56Lvi0ggIKKAXeOsPZr4SMst32fCn3t9SCmK2CiPbLmreLx7xjV94EM7PsRl92yb9m%20xdnk3Mo1FWBFeQvpp0sPkrkomhtaZUBaTXPxiuOcr3G+qiLtXJBdxxckkT1K2eMTvBp9OmrLqhJ2%20dbm04kmvExgAKKQ1OgGmZ7fJXX52Uy527cVTRCNIAEwAlD2wjUDPeMaZJNT/GIFU7k/Mu9tKDPa8%20WWXINjLSzVqqdj2uKOpjLsJOCzjDEGfM7CigUQl7EEWQF0UlMoB51Nl2NBIvHWR8LIICHexnikAA%207T72Mh1cKDIsAAZQKyUogR6gUMDjYWlfVnrMNWA1E1hdRysAK0EJfaKrxDVJKGrpSBhdc5LJXcYK%20JAwSq54nGxo5Rks/KRwMDWkYEOkkRGkpSLbaNjPPdBA0oZmVgzDYMIFIkSKa+w27sDBCQTikS3rA%20XylKwTT1LekKTJvgXOSWRYqs8XV6oEMB67gvoGlSLlXSEtl+UxAEwBA7CknJT6yTFhMIAFOTKomo%20aOEX/XztfH/K0BglIxsV/+7nJ8Lk5lYIsxUZ8oYgBbmUeLjlGVUYpRqQS84g8khNWC1FOprDFCMb%20yQITRQYK+MtLKaKByftU50F7AFkCYUmXJq3gdXsoYDazecLaROxfhSGMHAsSp44kjoIFyZXw3vST%20V1qlLnyAmRXreLADpTKAVdnmIV0qzAAtElsWbGTzHLLOVdCMGuskHzSR00m8QAc6B1JXR4K3vYEu%205RQdIZIe8HJKU0Cjae6xV9RMGqyDrqsgUHjCFwWGm/1MaSq6JJlEBvTLlwJsopk6m4uIBrx6XqF7%20w5zOb0p4Ui7ZTm8dqWBa/Xq9FmQnLXVxkkGwgI2F+GqngFjnOuuUCJaE5P9FUAFoURG7RxEJlil3%20kwiRPmGKUrACRjRCz1WRtKCDCsQvZXldCWwZHTtKxpqb4+hWBGBB3GrltrotjJOusNTBvS9imApK%20UGDWmOdd6GAtGWJgTFinF/5VurZlQY8+GRSLCqVtOTUlNajxNmvUySN8lStCoqE5vqKFSJ9ixUMC%20R5F7QZFeU9QLkUKaVZIxKQBcLAHWhAZW3DCFfCr94RqnGx/eAixajplmogI7QhIFMq8OnUyYDizd%20wgbgtn9iwaWuW5grlCCwnPEMY3fqq/Gd5iT7ac4V0GtXFsDuJ6yAxsmkowfQzpe0UCioyPDbElpo%20+EkNnbBsWYKtbz5JyWr/3e2SC9Pki3LIk0cULkavSCeThQ2xFiKPhS88XQHcVsxtuWcjA4uFpJHZ%20INpaiHdzmlNn8HQjtqGFSVxsI6z4ZcVnPRZF7gIVJUnNuQRW0tkM7N8ogU03VSKmlcyK1i+79La2%20BRh/ANnJzHznvrSh4QwEwkOWgLqaHYlupF865mDutrYs+A2ZOazq4KGEIapYhYmr4SvQkIZcysGG%20ZZF71lMIpGF0IWijFpyRAPYYlnxZ421fW2QO1dbJk35ytXl77d5mO2l39U4UjukcRaGQOuPMtoCj%20cjYy4owupma3hhtZaZeM07AWNvNmCFQN79LaV2ZqFWXQGxdRXqFnTJMi/6FpYyfnKhuAcjJwQV7r%20S7wut0sTbbchYb1bbACSLplmW8iow9EyK5NDFH6JICgu5OtROz4qd/L1CjKDGCocG5NydXPW2CQT%20iMchO80pKaoR5xSL6t9VIco1qoOXhul4VH7Z9Hpk3q/nqjx2qFJ0ybh0GSc3POtbp7TE2NJktj7v%20QYFBiDJ7q0yzx0lc/DF6tjC0skNX/JDvJnNrakOXchWkBZ8sZCOjEC0y4VsV3vWuM6gR3l7jeS4P%20ScsenEovsv44OVmFpr/k89WT0iR3THFYVBASiFJXnO4xP1sg76nMgqB+jbkR8LErKJT++ETacjfV%206A+CKDFSB65XIBHIQf982FZYw7vNoMa+vVsNX9Nls1fgqhdNIRVHz2VB0SewwanaEgFS+tkbmvBq%20gDJtrrBcrVtJdbYLG6C8zpYlNz97C8yulZbJqmWLc0zYJthS2j9JYtjzTZxKM7JfqimgmDQWWAGD%20kDV8Kz5SAARqGDqKYDyE2APYKYvn65meaQ+5EZZUsr72kB6jMpWGipXNowyzETYvY7fRW7P8MJv2%20qJpgkpjRCwCTWTCM8hvbSIpPmb12ozsWIKjAscHcy7u6S7PCsiGFeIbiMzwHNKvwWqVogQ6mgRGp%20aJjIsworvBDAQK2peS6JODQBKKClkCdsYKHOK8HnsAKtG7+JMjAo6y3/TFkNYfM/xoCoUskwJ7kt%20OMzD29CyPAkbpfCTuIu0hgu3WEE4lMAmKzOUMDGI6+AKE9CKCCMQ70o+iYBAIjmlU5IKaIiGTdxE%20n6nCr5G89tA4lzi0hjK3QuwlHmoZ6zmwgvimAsyW55hFu8sk7vMxtAomMluylTgORBGXqahF/LAX%20n4AdUzu/w2kFlcEG4KpBLjugLjE5OQKKvqu7g7EGSnwIVjg6KLAf+5GqfwJHKuQXK5QODoS6uGg2%20RMOzAPs0o+OM2xlDndhGciO/8OMmA8u0anmQ2HqudGOwbEsy+Pu0QpQ/RWNFQETBSCnIOZTDPEuJ%20RWTE/VOrYXKFoVsI/xNRFAm8xPqBKqaBBk/0mgBqOlEUqXW5x4cTQdbLjeN4Fx10OWmTRZE4o1os%20RHIEwECMj2jJiTDME/6AjoSQCcxBj7UoJEpLudprHlmxupFLP5tIDc0AOeJSMq+7yIego+ogJT0o%20ha3Ei09QhqS7wA0UlSsryY2YHDY5tKlLtP3goamAPqGUJzOaR4lSQzsMkH2sli0RQ4IpstZxMjlk%20yBVMIZ24v1b8qwBRGcHUkzhBFwDsDsqISINIM7VKPsa7vY6wAj1wqvshpU8wJYLzxDrxMbM8ONvQ%20iKo5Rd2xSRLEHXrcxnjpr9q7OeA4t8XEHUbzR4OKTJcam5yAldbYxv+okEf1QAkW+iGXCT1TAYo6%20k4wHectMKs5hNKHmrImlehDsArHAGjLFm4j2+g3HwIsX2UqttB+wjJGfeZrNMMfyca5le8r3uDyq%20w41/EiKFgMum4LxZlD07BJJzO6MsGRsoFKLjJLkreY6JnCg83M8Jqp74i5r4iyi0gAr8EybfEEqX%206KXbQLjp4dAr1CY4zLtpDIp/w0ifCBWaEASnooPN/ITPokL48J0eQzePk7zKiwuTk88o8UPKGBvc%20gEctoQkoasm+io+DEM5CrMlYOR6HsaaVSQtdhKEH8ZS81JZ48gkKFc7WCJs9AD3WyMm2WEqUuBzI%20ODY8MVPB6T4KrYv/eMmwFmiBEl2Ft3ivuUAIK9hIHNMLlBOKwCqoleCIcxQSLmwfEBQYoLTPcxMq%209OxFzjhU7HRDPVQ7aHHGeFShatlGtdgDlJuoJ/UJoGyN51ihCI2/T/28uMuezpuNElw7DmEWlWG0%20iZgd3gAK0KOhWHTDojJRtKg+QYCCzYSdNcoUWpmz6CtJkszRrSigK23NQjQ3HvXRVmjT80AZ+9gN%20n5kWeLylZ0Qh3vg00Gui1wm/iXyQ4aDSPRCij+EPAbG7dP0UeLGCXnWS83DKx8ComPBTaGMxF+Ex%20drECAzS/ohIlzaiLvxBJrLCOAEga2AvFfSHJ92RYRNFRG9nGr9CJ/68wkYtlhYptha+giYoVhIs1%20hRu5s44YGJMFAI8dC441II1V2Rtp2ZJ1WZm1WJb9CkFIgq+gA5wFAGfjWRnEQfQwTJehyx7lG1Zg%20pajYxvrq0iuwAk45DxZiQeXij63pUE2iURNSzPNpJDSMQa4QGhMZiCmliJ8BDLgSgKcrK1F8zJQo%201AJ6W7iNW7md2wLKUrWYxyz9GCrNiXN9DqhYmt88DsCdRxYxusWwo35M08E5MnQbCFPYI9/TihUg%20M0xN1kepFEQJiZNpD2kkM/e0CISQnJIcVHNkQ7o9XdRNXdUVi3eZoPOYRb1oyYFAnz9kEfSAl+c4%20o/TxSZjAPsewk5sNRRmDoVEbe6PsLMAVKAEDdFp42YM1ulz3Eo8+mw55C4C0ZSmQKk2Vyj7LXV3v%20/V7w3Y41PY89gE0cZA0tRV8cVNrfxCiF0RbpPCAajN8xjDhp2RuxvYJ4gYISKKxAuAbnDQD+fV48%20g4avAJORvZHEkwgFbmAAOIyxWGAJduCYZeAIpuAJvmANtuCKONkKXuCV7dnwHWESVt2AAAA7" height="98" width="349" overflow="visible"> </image>
            </svg>
          </div>
        </div>
        <div class="fig"><span class="labelfig">FIGURA 5.&nbsp; </span><span class="textfig">Plano inclinado empleado en la determinación de los coeficientes de fricción y resistencia a la rodadura.</span></div>
        <p>La
          fricción estática se determinó colocando longitudinalmente el grano de 
          maní sobre la superficie de deslizamiento, a la cual se le varió su 
          inclinación hasta el punto en que cualquier aumento de la componente del
          peso (m∙g∙sin (ϕ)) que actúa perpendicular al plano de deslizamiento 
          provoque el deslizamiento. El grano estará en estado de movimiento 
          inminente.</p>
        <p>En el caso del movimiento inminente de los granos de 
          maní, la sumatoria de fuerzas actuantes en ambos ejes se iguala a cero, 
          puesto que el cuerpo se encuentra en reposo.</p>
        <p><b>Angulo de fricción dinámico (ϕ</b><sub>d</sub><b>).</b> Se empleó el mismo procedimiento y equipamiento empleado durante la 
          determinación de la fricción estática, con la diferencia que en este 
          caso se ejerció un impacto sobre la superficie de deslizamiento en 
          función de lograr que los granos de maní puedan vencer la fuerza de 
          inercia que lo mantienen en equilibrio estático.</p>
        <p><b>Ángulo de rodadura estático (α) y dinámico (α</b><sub>d</sub><b>).</b> Se determinó colocando transversalmente el grano de maní sobre el plano
          inclinado, de forma tal que, al variar la inclinación de la superficie,
          hasta que el grano comience a rodar sobre la misma. De igual forma que 
          el caso anterior se ejerció un impacto sobre la superficie de 
          deslizamiento en el caso del ángulo dinámico.</p>
      </article>
    </article>
    <article class="section"><a id="id0xbcaed00"><!-- named anchor --></a>
      <h3>RESULTADOS Y DISCUSIÓN</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <p>Los
        resultados de la determinación de las propiedades físicas de los granos
        de maní muestran los principales estadígrafos de cada una de las 
        propiedades investigadas (<span class="tooltip"><a href="#t5">Tabla 2</a></span>).
        Los mismos reflejan los valores medios y las desviaciones de las 
        características dimensionales y de masa de los granos de maní, así como,
        los rangos y desviaciones de sus magnitudes.</p>
      <div class="table" id="t5"><span class="labelfig">TABLA 2.&nbsp; </span><span class="textfig">Estadígrafos de las propiedades físicas de los granos de maní</span></div>
      <div class="contenedor">
        <div class="outer-centrado">
          <div style="max-width: 1160px;" class="inner-centrado">
            <table>
              <colgroup>
              <col>
              <col>
              <col>
              <col>
              </colgroup>
              <thead>
                <tr>
                  <th align="left">Estadígrafo</th>
                  <th align="center">m, g</th>
                  <th align="center">L, mm</th>
                  <th align="center">d, mm</th>
                </tr>
              </thead>
              <tbody>
                <tr>
                  <td align="left">Recuento</td>
                  <td align="right">100,00</td>
                  <td align="right">100</td>
                  <td align="right">100</td>
                </tr>
                <tr>
                  <td align="left">Promedio</td>
                  <td align="right">0,49</td>
                  <td align="right">13,56</td>
                  <td align="right">8,01</td>
                </tr>
                <tr>
                  <td align="left">Mediana</td>
                  <td align="right">0,49</td>
                  <td align="right">13,0</td>
                  <td align="right">8,0</td>
                </tr>
                <tr>
                  <td align="left">Moda</td>
                  <td align="right"></td>
                  <td align="right">12,0</td>
                  <td align="right"></td>
                </tr>
                <tr>
                  <td align="left">Media Geométrica</td>
                  <td align="right">0,49</td>
                  <td align="right">13,4586</td>
                  <td align="right">7,92</td>
                </tr>
                <tr>
                  <td align="left">Varianza</td>
                  <td align="right">0,008</td>
                  <td align="right">2,8802</td>
                  <td align="right">1,47</td>
                </tr>
                <tr>
                  <td align="left">Desviación Estándar</td>
                  <td align="right">0,09</td>
                  <td align="right">1,6971</td>
                  <td align="right">1,21</td>
                </tr>
                <tr>
                  <td align="left">Coeficiente de Variación, %</td>
                  <td align="right">18,06</td>
                  <td align="right">12,51</td>
                  <td align="right">15,16</td>
                </tr>
                <tr>
                  <td align="left">Error Estándar</td>
                  <td align="right">0,009</td>
                  <td align="right">0,169</td>
                  <td align="right">0,12</td>
                </tr>
                <tr>
                  <td align="left">Mínimo</td>
                  <td align="right">0,26</td>
                  <td align="right">10,00</td>
                  <td align="right">5,50</td>
                </tr>
                <tr>
                  <td align="left">Máximo</td>
                  <td align="right">0,77</td>
                  <td align="right">20,00</td>
                  <td align="right">12,00</td>
                </tr>
                <tr>
                  <td align="left">Rango</td>
                  <td align="right">0,51</td>
                  <td align="right">10,00</td>
                  <td align="right">6,50</td>
                </tr>
                <tr>
                  <td align="left">Suma</td>
                  <td align="right">49,97</td>
                  <td align="right">1356,00</td>
                  <td align="right">801,00</td>
                </tr>
                <tr>
                  <td align="left">Suma de Cuadrados</td>
                  <td align="right">25,78</td>
                  <td align="right">18672,50</td>
                  <td align="right">6562,00</td>
                </tr>
              </tbody>
            </table>
          </div>
        </div>
      </div>
      <div class="clear"></div>
      <p>Para
        el caso específico de la masa de los granos de maní los resultados 
        evidencian que, la variedad Criollo alcanza valores promedios de 0,49 ± 
        0,009 g, dentro de un rango de valores de masa que varían desde 0,26 ± 
        0,009 g hasta un máximo de 0,77 ± 0,09 g. La desviación estándar no 
        rebasó los 0,09 g. El coeficiente de variación muestra la gran 
        variabilidad natural de la masa en esta variedad. La masa de los granos 
        de esta variedad se asemejan a la de otras variedades que se cosechan en
        el Ecuador, pues está dentro del rango registrado para las variedades 
        INIAP-380; INIAP-281 (<span class="tooltip"><a href="#B8">INIAP, 1996</a><span class="tooltip-content">INIAP: <i>INIAP-380. Nueva variedad de Maní de alto potencial</i>. <i>En:</i> INIAP (ed.) Estación Experimental, Boliche. Ecuador, Vol. pp. 5, 1996.</span></span>, <span class="tooltip"><a href="#B9">2012</a><span class="tooltip-content">INIAP: <i>INIAP-381. Nueva variedad de Maní precoz para zonas semisecas</i>. <i>En:</i> INIAP (ed.) INIAP: Estación Experimental Boliche, Ecuador, Vol. pp. 10, 2012.</span></span>). De igual forma, estos rangos de masa observados concuerdan con los reportados (<span class="tooltip"><a href="#B1">Akcali <i>et al.</i>, 2006</a><span class="tooltip-content">AKCALI, I. D.; INCE, A.; GUZEL, E.: "Selected Physical Properties of Peanuts", <i>International Journal of Food Properties</i>, ISSN: 1094-2912, 9(1): 25-37, 2006.</span></span>; <span class="tooltip"><a href="#B10">Iraj <i>et al.</i>, 2011</a><span class="tooltip-content">IRAJ,
        B.; SAYED, H. P.; FATEMEH, R.-A.: "Mechanical behavior of peanut kernel
        under compression loading as a function of moisture contents", <i>Elixir Agriculture</i>, ISSN 2229-712X, 36: 3552-3557, 2011.</span></span>), aunque difieren de los 66,80 g reportados por <span class="tooltip"><a href="#B17">Sarmiento (2013)</a><span class="tooltip-content">SARMIENTO, C. L. M.: <i>Evaluación Agronómica de un cultivar de maní (Arachys hipogaea L.) tipo Valencia, en el Valle de Casanga, Provincia de Loja</i>,
        126pp., Tesis (en opción al grado previo a la obtención del Título de 
        Ing. Agronomo), Area de Agropecuaria y Recursos Naturales y Renovables, 
        Universidad Nacional de Loja, Loja, Ecuador, 2013.</span></span>.</p>
      <p>Para
        el caso de la longitud de las semillas los resultados muestran que está
        variedad posee una longitud promedio de 13,6 ± 0,17 mm, variando desde 
        una longitud mínima de 10 ± 0,17 hasta alcanzar valores máximos de 20 ± 
        0,17 mm. La desviación estándar 1,7 mm y el coeficiente de variación de 
        reafirman la variabilidad natural de las propiedades físicas de los 
        granos de maní en esta variedad (<span class="tooltip"><a href="#B6">Gojiya <i>et al.</i>, 2020</a><span class="tooltip-content">GOJIYA, D.; DOBARIYA, U.; PANDYA, P.; GOJIYA, K.: "Studies on Physical and Engineering Characteristics of Peanut Kernel", <i>International Journal of Nutritional Science and Food Technology</i>, ISSN 2471-7371, 6(2): 22-27, 2020.</span></span>). </p>
      <p>Finalmente,
        el análisis de la determinación del diámetro ecuatorial de los granos 
        de esta variedad mostró, que el diámetro ecuatorial promedio toma 
        valores de 8,01 ± 0,12 mm, con una desviación estándar de 1,21 mm, y 
        valores extremos de 5,50 ± 0,12 mm y 12,0 ± 0,12 mm, como diámetros 
        ecuatoriales máximos y mínimos.</p>
      <p>El análisis de los histogramas de frecuencia, (<span class="tooltip"><a href="#f13">Figura 6</a></span>),
        mostró que los valores más probables de las variables investigadas 
        están en el orden de m=0,26 a 0,6 g; L=10 a 15 mm; d=5,50 a 9,1 mm.</p>
      <div id="f13" class="fig">
        <div class="zoom">
          <svg xml:space="preserve" enable-background="new 0 0 500 107.616" viewBox="0 0 500 107.616" height="107.616px" width="500px" y="0px" x="0px"  version="1.1">
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hCIb+chI%20vsMeGtGIG9ThAYKQr3wfYFP86pQ/mJWlSL6nEAe0gocgiK6PRVNapjYiBaI4A4QjPOEKz8P/HGcg%20Rxb2QAge0IwCk8CznvPMZz03gQL8UAINiLCBGh/kWQ6Y0VoPoIAuHOoENKYLEK5A6UoD4R802AAM%20dBAFZXCJVEBJygocsIVpnOIKKAArWH2QB85MIz+bjEtYUICCzoSFJutIB1pu4pWzGYlRJvkWSNrA%20HBqdgCViQcc/9HQKS1ARi7zdQKhVMIXdRuEbFFDFDPxhAH9s2wDd/ra3VaEBNRThyQsYgpT94Y8H%20PKCaLtiAAIFQ63t5jaKQqBFw/qELbvxyK4AkSAvEg54CGk0du2UAA4DC8IZXu0vVdkNpbVEHW8wg%20FvFlt7vdbQAzdJsFiOgACxCQghmYfAZm/5jBEE5+8iW8gg8mmEACdEBrQxPkWQRRokcCBxLZWcUv%20tK40pWMQgUwzgNOe3i20eRsFB/TkFCiAglemTvWqe2UaqODMD9RCA7nMutYFR0d9eF3Wpf1aOCBZ%20jkCK0QUPiHYvyL71P4AACyB8oQVYwAAGwsD3MCjB736XBhbkoQRpHKMJYxD3t8PN7XGX+9wPSPe6%202/1ua8rbB/TWJjruXVGTaBYcULr5Qwa+grBn3QfsSDgRHj7F3UKsS1FIAyKeUY8iGOABBoCvxjdu%20AFUIwx8ghwYLWE78Cbub5AswgCBiPvOa29whpFCrixxwAG8IQEhX8gszfDANeqMgHdIwl/+7AuGu%208mfCBoHgRSZW4YAoCP398Ed1dUIQgsS1RB0tQMEVflD6tpCH1t8XFr52dtYyAr5wCWGmANygdnXi%20AKRXcOrwAzHgAy0gD5TQBBOQARq4gRqIMzywDBqoQdrWeIvnbSRIbuaGbuomX7sHb5eXefbGHStQ%20UN9CI6TgABJADK6zDcsFEfpSesmGFuywCuhCBqNQfkhYfmtgWEZAB+A2A7pHeRzne8AXcsNHfCc3%20YTOAAA+QAsm3fDJHcyjwfDfHMTc3AAfQBgCQC7mwWYCxDujQE93XDt9ACD0DgjYDQstgCB/0QTzQ%20BBg0CQqwcPFXiFdwClvwBHmQB0FwIR//okIDR4GU9gUMQwM9EXQosA4CaHZnBwDE0AYkkA8nEAB2%20YDeddAJY8YC3FoFw8APGQwlzgA2MFFgfgA1vgA0fwAaJ8AEZMAfDR4LcxnjhhoKQJ3ksSHkuOG/1%20hi8ySFFFVBXf4lnLkWhmaBA/iB5dhxYBEAyTwAM4o4fgGI4Z4ARV0AjsxYUsEIUbh3tUGHwswG7w%20CI8p0GYpgHzKx3xiaHM4FyMMcV0CIQDQsW+P0A6wdBcTswLQwQBekAFSEE/wxAg9QAd1QAf9kwQm%200AOmIAVvIAUK5wYe+ZEgGZJuIB6WIB67sAsnoC/0t5Ih8ARiAAik4gCAEHSUVms4lzFn/5cOueAL%203SAAdmABkFA1N0gnJ/CIc4F5sOADbEQLGfAGZkBVl0NVJsA/R5AFJuAETjCCwiiMjpeCkbeCGYeM%20lqeMmsd5WlYYIpELJ+ABAHBREWGUcDEA6BABc0ALUmAKJlCR/ZNIluOQGrAHsXAEscBx6sh77WiF%208RiP80hh9eiF9xiGzldjODcg7aB2EiASDnABbgUBzPUXXkEDK2AJNBAFXnAHDZkE8aQ/lfMAFYkG%20PWACb2ALE+AFaWAFtnmbuJmbVmAHImAH9yAeK6AMA6cvxAkI9AecLCF0tOYDN8kvOQkAbdAK96A3%20EUACXXAAKbMXcKlsaeIDlrABL4ANa//wCq+gl1NpAmqABnipBr+4lSY4jI+ngpPnbsmIecu4ec1Y%20UKwjEPn2D/ewg/8FEdtJEzaxAnX5Bz0ACnq5oPK0B4CJALGwUr+3ALs3hb/njokpj/VYYSSXeyyA%20j5GpYso1SidwCWkIALmSOgy1F03EFTRwU6E5KqXZReXwYA2wABGWow0wU+UgDK+wCYzgBHtQWBrQ%20ARpQpEdqpEiKpITQjTigAioAHgp3RVekcFZKInlAa7PxD+swgEbyD23QDXbADV1APtc3ELnUOITy%20D2ixGdagArXABhNgAr/wCzp6o73QAENwBpuwANVQBVr5nlw5A8Qon8dIn2Npn2WZn97/5AECYAFd%20YAfL4QsHcA9J5IYO8QUhoDBsQQPAQAPD0JRoUA7kIGXxNQQriKpLQG5LdgR1cASb8F4UKoXseKGI%20maH+MI8c2qGP2XxjaGgjSpD/0A3GIADfkg5dQAwVkFBC4heZ1kaWUG0zKgjl8As7oAk4eqczdQYG%20IApMAAodsAeTkwQ9QK7mWq7oSq49QAmJMAmZkAB8hwF/pwT0Wq/02nd8pwS5AAta2k1dyom/5hF7%20QQok0A0NcigeoabctBnsoAMw8AJz+mB8sANDQLFDIAhDcKMG0Ay90AuBWoKKV6hfOZ+VF29kGYMr%20UVDjUwH5cAH5lgseUDD6Njshwqmd/6oDDEALb5AEvcAJpgpfqAq0Q1BkDtoIsUAHarAJolCYFlqF%20woerubqhFZYCHgqivwqsV4M1uUAyxGAB4DAVmuk692Bdf3EhIYCILUAABwYG/pCxmjCPcJsCEhZh%20yddudOAEN+AJ7rC3fNu3fusOnnADQzoBe3AHGpABd8CBGpi4DuqgGtgEWNB/6AADZRdEUzFKBxAl%20A9EOIhEiLfBCPrAZPqBpawAKrxC3cVsHKfCqqjAGHYAIHxuM79mVxQiWhVmfMMiMKUtRNyQA+TAA%206XAPwaAAxpAPv1SQBOET3QQXXMIAcyAFZgAP84C6cGsA1TuPrGoERYAALGAAUDir6//ovd6Lobi6%20mCRnjx8qczQQoiqWF1jyItkSML6wHJn7DvmWRGNWFz4QAl9wCoBgPAfmCf6QbqJAvfNIt932Wk5g%20C7Lwtw7Mt1ngCRPgBFkgBTewkVLwATfwARyswRbMSIz0AZCbDmxBuXP0LJdgFW04EJ4LuqI7BQyw%20BhPwCnNLvQhQB8JQB6rwurELbrNLqPE5sodasi94n2YZSw6gQJBwAtcAAQ5QAcbQBpfgC0/0EMq7%20JmyxAi3gvJXjDtNrwNY7j2GcvRTGAkewBEyLezMwvojwtOVLj+jLfOt7tZKJVjh2OlaCJV0gAmp3%20KPkrabQGdSGQCgXAA7KQBF0oDPX/uL1TS3JtVgQP0AgLLAvrWMmW/AAvBwrxIAjyNAZM4MljAMpj%20sARnIFVMkAUZgAVTIBYmLESoYUT5QD4DEQEn8IACUS9FgbOlmwS7uquNgACNYAsK9pc9PKgia4xh%20iagmq6goO4MFBQJtYAfbwA0NMgKWQkt/PBDKu6Zq0QJu4Lw3MAO/MA+9XM67OgZ/qb3c671pLL4z%20QL4Zar6NmXzpmwBz/Hzum1anwYY61AWHwYB98X9XIAYhIHGGjMgpkMPlPI/txoVFUAR4S8mXPNHk%20qQbVIAivYABJYACvwAju5tEebQCQVQ5JwDlhEDY00MrhMyRZIQFH1C2G8Q+2vGzk/5HLMWy65lwE%20dADMwGwE4VrMP3zMtgu+RHyyuuvMsoQVS4SmFQCgH9GfBrHNf4J/K+C8jVAHe2vOWp2922vGaEzU%20HLfG79zG7/jGjBnH6su+7TsSiVY4KVw+AQozm7F/PuAGuMADWZAEuarIvdyF8cXRjHC3RwAGTFbY%20hn3YTDYGqqDJLPAA7CZfrIWjMsUHm5PK2vEwynZAGqIrwHEA53SZiQEUXcemAPgDDrvLWv3L5jjM%20ewDUIRvEyHy7iZq7+Lm7ZgW8/wACoTACUoO8BaG89uETBU0Ac+Bk1qrVFVYHHFoH6LwH6ty931uh%20aszGbhzPcOyY9XzPZHgQVqMhmf/pDVWjXYARupPGGVFQyHntbXzNoYz516/wAEFqCz2A2PRd2O6m%20BvHAAilHfKja3w72WHxQ0qkcBTK4AZkdRF02AG3ADRWQNdch2tzpfT9x0x5tzjtd2D7d2oonu6/t%20lbFN1LhrxIwaSwSZKGsDDr5gXVtmxZwR3D8QAmlb3I1w3BRmzsqd3M1tBGV8xu0s1vCcmPKM1vas%201pKJJe+bEGBKAnYQIVYRaVBBVujABZsHA+rUA68wU5owA/Xo2PAFWXygCXxAU9WASKxV5ma+AEVw%20AyelvZCMAPCYfDh6wDf6CnQgwljgISfyanNEICfg0vegLDGdExJTQKW9ArUgw6//EIW7p9yvOgY+%20Dbsb7sMdXrskG+KLatv6mSjC6w1hln0PES4/QNCpQNwfMOM78LNwDl/gtgBcvc7RTavu/OOKed30%20LMdE3r7PstQD0QUthl3Z7KIcEOU0sQGFzEVIMASiMARtNsALwFqyJeYmYAZmPu2QpWC2oAFNuL11%20cHJCe8CoagZ0IElYkAogcnAx9ESJ0gVdJrARIuhdF4cSXtW7PKvw6G6Mzl6uq+HAKOknCNtD3YKz%20LeKYDkpmWCW5TQKX8CAAbRCgHuqjPgelbq1eaKq5p+q5R8bcy+NgPd1jXd1ATusrZet0XFArsQsK%20gWt+oGx5wRI0sj6dLQAp/hyB/4EOfuADkkCBxM4DnqDXCa3cpqpxXPgAdeAE7AW1UHvfTsACT+bY%20zC5fUwtf5ck5qqxrPsAFa/ooAksQ0MGiVREAFtAKpOALqCgH3AASBHlQtDEZofvi3wyxHt1uUpax%20S8BeGe7a/e7h/y6Wy0zbRwxKJpErJZHEImA1cW0QaiEQBXQhbkDcN4AA1gq1g5rvOr5SmmC7uxfr%20ZA21QY7dIh9XyrALLYD46LAOKU8VDjAmJwESa8NoocCAvl0XNG/zCnPePFCu6u3z8xn0D0D0Y2D0%20uHrf+b30jy1lT78AUZ/KYoMWVh8ttHwCTbQ2udAF23ABArDbMDYC36MobKp5Yv+39gXNAG7v2JEn%20X3JP9z8d6cbs75Ue8JeO1N5kGAgCAsbQDeAkAQE3EIePxfaxAqQOEHR+7fBX0GBBA/5m+Es4Q5WG%20PUYeIGChacgCjAsKPnhgYIZHFoigsTh4MEWKiSkQpFhggIWJCQlooEDxz+ZNnDl17uTZ0+dPoEH/%20tVixwiY6pH7Q/UuXruiufydO/MtlM1SAqg4cSE0n1OtNdH58SPKxIkoBHj2S+EshrA6CjBk3IuD4%20wMmRMSX1lnwwQ40TFnU4Fox7schKjK+SSMmAZUo6Hz64qPta2XLQEw5uRsglwUGEExFwPtJ1gBuE%20S6QOOCgG6Wa6dpHVIUWnzgf/ih8h3DB4MYHRA38P4i4Y0mAJXiMd9qha2JCh84YP1RQRTHz4xgee%20MrjYEMUHEBQ+ZqNrWvTyefTpd04dMMCmA0jBFFyzKZqnOsr/kEb20YLAnBsEImgv6BQaQzmJXLIo%20Luw8AkkkkvY6KSXEXIJJJprU03DD84paQSs/1kFHRKacakEZSLRqpx2b2qDgkq7S0YzDncIaq6yz%200lprBrfgui44uji6K6+9iuRIjXgCG8yf4RZAALEFFGMMCxogkyw/GrPkKYJ07MupSwe6BCcfXboh%20xoJcQrlEABDaac8m2WizDTfdePMNOOEKMw455ZhjSKHnAI1Og+mqu4jB4LLb/66778IbrzyjtJRU%20y0fesymXa7i5VIJHptoJv6PQ4W+F/z4QsMgCHYJIIooWlCtRB2cIaaQiJ1ypwpdimqmmSXvNcoUW%20WjjKD2aQYqooQCwBwAJuDviHlAEEuGeATt37R4JebSTLLLTUYqvHJueqa8gijfQLMMGAYzIjw6CU%20srHHIpvM115ZDNMBD64Bx7V/IgjzEWPaGKEbR1oh5ZJ/ZrxJgjiRmjO33Xr7LbjhijtujOSWa07Q%20VKWjTrhDX+VIO+68A088pCCld2X0Wnm2qn+IEdhan0DVT9TISAXwVAIFNRDBjioKWSNYP5IVwlpR%20upUlC3XNkGWoLduFqFBpO/92hV0kAOESR+wAp6pLQoOZRV+1xbHbHcH9caJx8Sp3ryOTTJew4Z5k%20KcrFGqtSXiyj1hBbmyDpggRHRAD8JgcqwDbFf+xo54QBJLD2hIZruw1iOyfOk909Me5z4+Y6JvRj%206xAdeVGTHU3ZqUj9dn0nB0gBQBcLfJnqHgqCscCmw3Wyeb+cS+VZL9Ejmkho0zsyetYI9bJVJaZz%20xZDX16vfyUMHcslFKWNZ34UUUrbp5p58bHIkGPlAsGkAUrIVa9scvW3rrXCBbJvItw/q6y8l1S1s%20gcPc7V2OsdK8rIcebJ3ATduwgyMsoBkHPOIR7gkNBSVgDDu4LGGS+0flHlb/J4nhqWKdy5ifoCO6%20QoFsbYoqWaNQRh7WHfCA7WgFN7qQDwAUgzQiuJSn7pMf4JXlPwEaCKp8NoMDGU9BQ2vQ8pAmIaVB%20ryXS25UMrfiPoliiFeDQBSSsxjplBMAbAgCAHO6BrS4s64EJo5fZuKUjhajNdEGyi9vyp78HIKl/%20dIuL3RKTNyoVsG9XFAq2IhcAAHQjFNdYR79uMrlKFaMbojkBzDTjwcuB8E4U09PFSgi6QIHOY4Za%20IckYdbJHxZCQroOE4HThiwC0QxeOaEMX0OTITwERZ0Kcg6mK2DNRrup4rsJIEx9EKyhSKHoXquIq%20q7cCS0BCAHIgox6MhcWi/7RAFx5oBSQGoJkuYOUfNCvb+84Gx/n5aI73u6P+zrXHdWGkXQIEZLyu%205MzKQE4CrbAACPilFRkxBScOaEMrOlUfOL3QcnSK2CY3J08Sfu5PoTviKFWYPFOm7oUqwyd6PNUO%20zbgnHd+MirUk0I0KeGAb7buHAryhgANUxYc5+d0udUbEARHviElMEPJEprxjNq8kz8MVM5/W0ahZ%20gijbkIMjfGE1bJoHcY8LBQUcIYGmkCIXXZmUG+OXNvqtjY7kaid29Di3eGbEj3ib0t7uidSfKNAm%20j+jGP/LhAQmARmE4iUAAHNGNyXWFcgr9YEM1N0JPSvSEFR0dKTGKOhemUv+qcLXMjHLRTQ/QzAHf%20HMA92gAA0LrGA3Wlygm4mstQjUp4v9RpMI3XKiYWLahJU+YUjUo9ytKrBVGYhQcssA1i6OKaHvoQ%20l3ByiVhG5bTuu9Eb5SdHkY3VjmXdH7qW9L8A/nFK9jRgbnmiFS6FYhsH8AXNOKOZExxOACBt3z9A%202kHCZtKwIuwknzQ20VBO1KKl+2lGI7u6yXoXKJ5Kxzq44Q1jyGEEoakUG0/Qii7lQjPgIO17e1JT%201e6MtSVJFU+DRkyicSRWzKPt0mzrNNwKWFKWmMUswCECAPjiqUuJqlH+JcF/HEAAvvhHpZqy1yx5%20FW1xDOs6hTTddsYNnk3/WusA3dpdFa9vr6TIhz/X5ylrcTUAF7CAp7TSY0wyNHP05Vxi77vYYKaQ%20v8VMlH9RCeDWRbknCawUJEYAgjbogikzEs1eczGAYlDAGyMACoaD18vhcZixr/Upm0XsRGQ6L4pF%20RbGcJ7UCZawgH20gL1SJO9BHEFQBlxhAV9ph3K6a07lrSWf92HZk/CX5nWjFrrvqKUhLI+5SvrVD%20F0bQuxltNh0nIEUouvwezTwizJgLISfLbF8Tcoyxah5aiFl4StXBMMC53kk6JHCPa2xjWa4Jk04y%20cxMPyCEf2IIWOXFiaF7i1Iig8/ASkzfiJ0q6tk2bHrd/BYldCOASBwBA/7FoTNxHoNom4XRPqVcm%20ZDjyqMjRZWdZE3XW69bN1m3Fda4BehPyFoPPXrrXTQSQmfa+d9maPGx9PXdmaaeZdNXGjpuzzVF/%2052SzvKuALrahi1i247QSMORcB0CMbvyzZrrMsC9zqmjXsqrR1sZ3pIc66WVWOucbIsoKLDACO4zA%200x7CSToS3oYL5KNTw25HgyUF8edO3NHSjfUdq7tkdgFw4/DquKW5KoGptIGM4AiA20UDuM84gASA%20tYlpo7Ly+TobomaONkVl7tj+QvbN2o7z1hsvmnS0AgL/uAbMGk+2cUbFJrrIHX3a/cPUHlrewJxo%20vaduzKNZ3SRYP3G/Pf+vHmhygwR2uIQvDG4T4n4ZJ20Y40zL2dyvElmdFIe1xS8ut4z3ce+B5Ju/%20K1XucbY3YU1hkS5AMAIy/aOgB8Ul5McseeJEFOaW129jL5r5Fm4e579fn024cQlwuIARIKmEAY2u%200IyqkKXxSZhKQT2aYrpDc7p5qz9GAzHcI7FkMjF+ayb+65AWgIARuAc9IAX+8AEsYh33yJ6EcQAB%206DH7kIrng58hazWxqjjqmrXss47sYiu+6z5uoxaTuwBbeqRKGYH5kAMAgJwueJaZygX3a7aHij/K%20AyUDQKGZKyXNuzlV4j+umorw4QZfED82arybkDCfc7yfgLebSrSD6DD/oLG3n6o6odq9faOio+pA%20yzCLFbgGHasAWOCPEzSP9uKqC3iRuXI+LYE7sJq+ubPBJMsj7PMfjaMnjvPBXLOPCCCFLjAGR9CU%20XHC7R7CDfLgEANiGfzA2XyiGqPCUJ3QoxII2KrRCzHO0a9Moyeq8rSMbayEFcYqKBhwAH+qzf4AA%20ClAAD2AjILsJNVytp2vDRZM6C5St3JtDgyCqrPM9PLQMSyCACjgAYmgFOCjBQFwBXeAGEZCW9iA4%20QhubAGAuGUQn6GrE6rO4u6O1vNvBAeKuQYqyYaOKf+AnERi98fNFBoIASMiHNMmHbagAnHDC+BIz%20KHzFl6u8/BoUasPC//zTwm3zvAGwDxAQAG4AgHs4Abcrux6DnADkBg1argeMvXhjQ4NwQyW6PWnE%20QH3TQDtMsWwUCg+xgwMog1YQxxVgnW4guAPwlG74M2sBv1SDviGTOEYMMbqzPiWzR+2jRL3pOzmT%20sLlqB3AQADuwgFAbJ/a4hxEQgC4ghn9AmPdoMGV7SGZzRZf7JPyqwmm7wsfKyI3aQv7Lhak4gTIi%20RQ1yrz/jIJvgqhEgNC9jSWWEQF6SQNoblAqMrUebrQyUog28w50UimGwhBXwgBGoADhABUAcyqKA%20hNnJB2KQgHaQg9yhgAG0CQcMMlWLPho0sjqqu/ypxxycJ+3qwbfiNv/Tco8A8KxuCIBkIxulk4A2%20IAZreZyEGo+FisuWe7aJjMW7nEVrs7m93MicazDTioAKKAZieL2BCoAIOLVraYVguACXqRREtIll%201LBmjMmdekOarMxpLDHMzMnNrIxhaAFI4Jo2sAOhZJ0KEAELEABwaJ8YIwWGhI02qs2njEepdES7%20g0S8u8rf5L7glLPPQBwc8gWX4aph85RMtAkSyIfBHL9WrM7Jg8W6lMX7o0XuvEU85CpraYXWqI+2%20GwDteRYq44aqIAaYGr0Qhb2baTqYRIhnHCbKBKr9vExKw8b/DIoVGIYV8IULyLNkKE3W+UsNOpib%20IMlLccdziruoFJf/ebxB/rFKHdw+ffQ3CrKJLgvNazm39WmvduwCayGpS4JLliOzGL3OGc3OGt3O%20LOxOXNw6YNQMPDuALtAFCFIYCGgDbrCD0cuFEbAACUDOHrswx1zDDXNGesPPaNRPm7y6OrytK/WK%20FZgCr/M5YvgBMC0KGbEXqwgGOfDHdDC9t6PQiLNQNs1NqtRQOMWIJgOkJ9tHFauKjjyBA2gFO+CG%209tqKHpOp9ZGDbnAZCJqKFyVUKZRRNKu/i8xLbGNUPGwwzWiFA+BWDwDFCPqHbfCAtGufVrgAr7kH%20FumddxtVZpxAyYTGKJVD/qxSDnzVn8iiCwiAfBAAsoiMcRSow8yx/21QHwJLRg5RxG+RuwttU1l7%20097UO6x0jEd4B/FwVoFKUvcipD7rigHQhS7ogmN8jy7cs3/shqkIqIMKV/izGHKNOXPFS/xLVxzt%20QMebkXb0FK4o02sQPRD4s3tAn2DoAkpS0iAi1fp00lOdyVSV0lWlQ5x0VYUFig0gins4gDb4w1s1%20itPqCkndHZuNwTRdRFebSnpE1hxU1o1bhjBoishYBy7gidkcQyviKkhox2LYhlbQDPUkw9Qbpy6Y%20kZny2SgEWkMtV4skWhtd1KNdV9OqoREQgVawMBmBDRAAAQvIB1UEAQDgnTQEWEQrVfuMOii9N0ij%20xoKwxt5L2LLlCf9lmIIoAIDIQAU9aFuKFagDCIawabySTERhVdO7xdDdxEFJlCeS7dApgK90GNyf%200Ip5vSIHALz1uYRQcCDxY0r3whY50NT3GAAWsVyJpEvNVYj9ork281w4w8MI4ioI6IbB2QYvc7v2%20gAAPgNQDEEj3et7GdEmtFdif8dqCzd2DvUbf/V2dgKYVcIQu6AZMOFDzeNscWxiu0tgN4VionF6Q%20zVCMu161ktN2yIMfkAQZAV8bfg3GlCEd7VMSOAAQ+D5/oYoI8IwuYc5iaAquHCf5nUvFEtrN1c6a%2001/Ow0OmTYfwAYAMQhz0MtyoIEYKMMVrMeH5hMzWokCCxV3LvMn//iRbDOaJKMC0VhABboAE0pRY%2003Tb18gxblAfL6HbVevYNbWfFa5ekXVh38QbNoAX+LIZnagWL8nh6vGyAOiGYqgAzSjhIL4Wm6iA%20pOu/+lhi66RfJ7Zf+1szRdXLz6Vi93INLAu2rvgzyi0TpRNVBx6iJq3LCO6przVYKrVgzWxjnIAA%20Ae0GbgBJW7XjGBLhA6CAUGDaPoZepxxWjy1WsqIuvXVhvqXESQgDAuigZNADdbDhG9Y5Bj6gXixK%20ACAGkhMNdV7cYdNXgRwp0QDlQhVl+nviRI1iVN5fPDRMs/wHAKiAUPsxneOqa+ChfqkKSB7jWy6e%20M45DCu7l3v1l/2C2CTcIgBYQgG4QABEgQWQO4Tx2lkpJYhPWEI69TeozVnq0Xj6KU0pkBRXY3sBV%202Qjwl0fIBVIoXOvxoVa4BBLI1AroEmBcPW/IB1+4hN1xhKngjEqpFHoe18wdZVU516K1RX5G2koZ%20AAtog24QwAaLgErJ5H75pgqgAArAWH/911qmTwhGIlSd4DRm1bHVuorOCc9sAQkQgWv4UuRV5gsA%20APsIKDT94xSuwUF+m6rcWyfZOELwgmPQ6G7oBjuIbMqmbDu47MmeHXezHhY5N1/ohtoRuRI+AUg4%20gGqtAAEYADvo4y5ZZDmRr/e7XPmjSLu8vHzO332e4g50S5vwAP9dgADN8JIGVBhILT5SwNb4/AeG%20pl2uNePbhei4Fts1puu6xon2ISM7uIeegAQP8IBL0Azm9IY2SD1iq4wfOG/0Tu8f2IKyKIopOFsC%20cAM3IIACMIQeYJIhEAaVUGGVdlPrwuYFaAC1egA6KIIqcIIOiIdqqAZoaHBoiAcIj4cGD4cGjwcN%204IE+6GZuIyNu0AUBcAA5uAQ78AAfGizpLKzYnt8mvmdSpmpHSwJWmIROgIENiOk3Jq5s2oDucIAf%20uIIYCA/aaIpgyS2yKW9IkKtxEjqbaB8gfI/EnBxc8h3Znb0ybgjb2+WIVmOEpeiKtpfPuoQ2UJ+d%20EIDPEgE7sIn/usoFnRYK9W5zH9gCD3lv/2iB+e4Wf0CC/KYfysRba27hlsYIAVdWA6CDA7GFMSCJ%20BVgCQWCBJRgDRx8DVTgDTviFMzADxgiEKPA3ESiTbtCFAbgEGjKok3Rth4HtiGTi+avIFudca/uA%20DNAHYOAAHaABz8TxotDxKHiELwACWADy1Rny3CK61buAS+gGcDgczijTLYYAXoUwYJXytSZjqHNu%202ELjKdVyX9bJuuaMdpDjRAJjnWgFhSwTm7iAYDAGb5iWtktrn7B1dye7dfCBdwAW+jYEMMBv/b4b%203KzmkP3vPw/wASd0J9gDBGCIBhiCJYiSukCABmiAHfiFIWCC/xvIgD5gAG5rH62AsH9wBBDAqmAj%209ekc1J+dbey0bVPeiFdggzdYgwLQAi2gAph3eSpweZqHeXyAgEaRTqcABEAIdrIJAA/ogja4BD3b%20oL8EHE5xD11QgAsYPTeh5SWVvYa+Twm29rCtRt7LTG2v67+zlJ3QBQAQODFXWwDogjUHind/93+I%2093nfrfq+bzwXBlXQ95TmdxaOxH8PdCcZ9DGogj1QCAMIdAN4hSpEgCr8hV8whyFgAVnIgEDYAG4b%20acJ0gFBIwpbtFwd4asy1Z1WfalbHDlOQAkKYgAzgAR6YhElogklYhtVfhmUghNNvgjZwBSD4AZ1f%20AZ6Xs29Txf/1vYk662NO1bPQqFjUivrHnHrbrXbovna5nm4rre5/aMcBaMd/4BeesOLdqWkBMLVx%20ao/N9gnaCH/xxwnwQIErCI/4eQXiyHf+tntC9ve0AvSAPxA1GINFX4IlQHgzmIEZAIg6dYYM2fFr%20CBNZEwJF+efwIcSIEidSrGjRogQHAwb8KyYgnUOOEUj98+FDHbqU6nyg+BHCDYMXExg98PdgAU6c%20QxosOTLGSIc9qmb4M+CPqAGjSI+q0qCmSJ2bQ3Li9GfzFShQ1UAxQcPIVI8eTMIyKWuKzYdJMmoB%20svYvJbp0K7ZsuWj3Ll6JAUidcHhNwIEuuh466OtQwr9cFf7/OcBEKBg4u+rUOUxp0scKAnNu0Pm1%20wypo0EqLHh0T1MgDAyw0Tc1p9UHqGQZmsEAEjUXo0ClSPECQwvcC1SYmJKCBAkXe5MqXM2/+8MSj%20fyccOLzkCADj5nC3c4f44/gVFD6iFODR49WCIaKGpGhAdcFrBLAfOPGZ+35u2GrisYha0997C7iH%20EwIG0DGGE2o8oIo/mjhogCZHGHCEMMJo8os5whjwxjIuNOQciM1NB9EJF1RAHXXSlXQSXCu19FJM%20M9V0E1U79fRTUEORhtRoSjX1VFTpvffaA0wIgkgSaPRgAiNNOpnEK0ksic0kmfyzAmVwyUVXiF3a%20pdg2upAS/4BDJ0Tw0CPpjOCBL3acqUsokZyZzgDtUDRZZehcltkcH3T2GX49MqXBHqghsFprVdkU%2022y13YafP7v19lsKwbEwXHHHebkpp3lBchhHiFGUDnWGXWCMHQ60Y6Z23Km0kg8/fAdeS4+U10MS%20DewgzG4BxjdffWNACukDM6jhRH+wWRXggAvId2AHaozBwgwEDbGEGTPMIBBBnOxwBgtsLPRhp+VG%20FB1JEZDpiB2tOJRiOyahpBJLLsEkE002vWejT0AJtRSPR+34I1RSDbmoKKBUAYooZrDAghl88LED%20xTvMI0gSpixjAwPD1LLdlnWZu6lhrXhjjABdePBQO3b+A//BAXaMMMJeIIhwAkn/cHQnZW/paRKf%20nHkGqaAzmFZoaohSReRsjdqGG36S+gaccMQZh9zIWXd65j9n7kwRdaRmd4AHZEIkanKuvmqSrMeh%20EN4POtyaBBINmLNbs4r2Bqx9w96nH3/+LfteswUe6MQeRlmIE3qpIYBAAw38cg4SZkiRQSAEaJ11%20LiEldonOZxYGkrwt1gsjvjPuy1O/OQJcVNEEB5mo3sU2A80mRy3QjD9IILEDEvDsAA8foJhyRyYb%20rMBdyJuDCNIJHHH0SIpcZzcACCDoMsI9/3gQjDEkdEGmyxLh6fOemvk5dKAC+0iooUq7tmjTtD0N%20qdSUWor/6dXO+///uwwDDEdQQA4gYUzO8rKFJzyhHStIBw10kA65rCBWskIHDSShDrkQoQCG6IEB%20kDCEX5xBGL6yiXxgEyy//c1YyBIcgAiXE/nUAQzxAMUYZEMQxtVEPpEzyBmScAPMkQuAIUrRABxA%20vVBYgDo740jp6PWie8lIXzViHY7+tSPYuW9QQDLY0hZVBFs4gQ4PCNICfKdG383DHGO4gw2i0IJ0%20dGcLPjCi1qizPW7ko3P3MMYFLpGPYuiMZ3lK32b+RLQuGu00SWNNGGFTP0dB7T75o9qlrKYpPHJy%20Uw4ASQRGJACO5GJ6iUnOE+y4ghUAgwHAoMEUVtCCLfxA/wxieNUEGeDB8yDhDJrA28H2psK+sRA0%20gEvWf5g1QwMhSFo6nErj5tMeIAqRiJ0MUc645o1tdA5ej4giOlxkrxjli0Y54VcWddSj2DmlYEKK%205APGWMb54GSNamwjE+Dohjl2xwciuyancpEOYnhgBOOQwAlGcA2dOaAwFTmfZYCmPkW2D2BNQdqh%20IDk/ScrGfo+KGm+mVqmqZQprAD2pctLhMgec6QDFIElDG6ocN7ghAMNggAo2oFMCbICnUXBDFIgg%20VAYkQAUJ0IIGmFC3IWhCFQY4oTDpQ8xi2sSFyBwcVQp3Rhvi8Jk8nJSAqHk5hqB0OX3JBUyLAYCc%20BYAjpP9jkRTHmTornhOL/lKn+9j5xXdu9AGNeEMZoYKA/MxnHr9QBRzluII8pWSVZeWUndphNg94%20QwAkSUd0DIk+iSaSffcp2tFQoxqN1m6S9wPppDDJv00+trUWGcABJ3iBAkIkgXhxwyxIQAsFzGEO%20TegtcHmrgDfQorjFxUYV7qBUETZVGLSDDwr5JiyqEmk/V41hVpd5OGcaYIfRhM00SVhNsrr2LiAZ%20QDEgMIBchMJdEGnHN+EaztNRsZyru9FdX5cURsoOjH1tBBkbUYTeEBY2bWSBBjKxz8X6rLEMLi9z%20wuYQ0VWAAiTQRQRAqdmIYmains0NOzEqv9J2lJL4C6n//kjaPwiz+CEReEQEXHaAEUBgRJ2z3l0I%20kIA5LOMDbFiDk6QghRtI4QM3UAMobHGDCbyBFU7ogCAMMgRhjAEBUE2hVKdL3WId67rKJNBWb5jD%207rbmFbABjq7EO9YitlgidhpBG+zgEBJwgxi5SJFDwClO1FXRnDqxq+u2uF+LtnN2wfQrGc04A3gW%20AQEGiYUhbLDPFgDCB9tpM3POZJgztQMcI1jHSg1jvp5xOGgU/SwjQ/tI2jGtxKe1JIpVq0mTYrq1%20oqoTSC5RAZJEp3x5IYAK+vSBCWRBDSY49g1u8AZlo4EJWfgDkZ+xB0RE+SBUtnIwsbxC6i7KujD8%20srOY/5mgMXt3AfN5QHiDOETy1joifbHDBfKhkVGS6Ex6pi85VXdF/AZ6nfwttH9rB2AnDHjRMSRS%20EYqwA3MYwRCZSMU+K33pdofIA23wBUx9HRGI/qzDfTo1iP8tYtJCl6NO+yisUzvSTJaU4q3tnARA%20AAmNtIECxsiFYWx7l6K+IQuxAMUmzDGPecBj6HxYwhJ24A5hqOIIR4hFPMLhrYMYAAxFuLJ0uV3V%20Ln9bhmCuoZi9ugAzgzXNQVyzyyMSgF2L4B6QcEQbugECCWQ4z/Ldc331XVd+a9HfhN7rc4n0ADIu%20mg/2hE88i/CLXzRc0qmgyx27k3aLsJSlEVCVDgpBCP9vYBhtE+E4IoUGKFQDTNWjZTX9XI3y3Fxy%205aul9eQBuo1Q+II6Xejc9f6RWbyogAB3uEERQEEOc8ADHu4oPhL4sACDiIIFj9sEIqRuED5U/erZ%20zjq3j9n17BJI3Nwt97nTPV42U7wvIOCGAAIQgUugdU4puvcU803XP/MdrwH7uzsDv6jBO6HwDVgj%204iWcQdSBIchAKqQCINhRg6VE7FnEAb3LP4ADAMAByzwUqXUcn6zP6IUcoY0c6pmcR1US68Wa681a%20AwIUdXhAF+RDAKBDG1yCHYSCM1yGpamN2qSDGwSbLZjBPLiDDwKPTSSBEHqGJpzBbrBAByACC7TH%20EJj/wxn8QuREYRS2x27MQDUwnRRmoRY2wG40QzVQi3tsoeToSgMYwG6oQjw0gyowFcX8guH5Tlj5%204C/MwwxcTidEARDkoR7uIR8CwQSt0ir5E2Y8EATRAA1MBiIiIkQA4oPdRQikwiyAAzGcgB+sAgfA%20QC3QAAfg1BRUhiHSwAq4gSW4AQEAWzbYwhjcRO+sER9owhJQWSzkSHA8FU4kRU7YIgvEgxrQAVEs%20wBuqkd40Q/8pSwzZUwNIwRtMwAfoQwLQlDM+YxQwAAxMIwcQAQ34ASKiwwrQQAtMgQ7owCd+og2G%20oyG6Sjh6yac4xKf4wCd4gTwYIgegAzAw4EO8iqts/4AKMMAHSIEBmIM7LFLpOdLpwZNprV5owCHi%20xZMsPMME2AIGGJUKRKRETiRFRqQS+AER6AA6PMIAJGKWpARdAIJIAkILtAAjMuIUxJIsbcEXfIEt%20iUFLimQjdhIEcIMvQMIJyIEChA8xoEIe5AEq2KANToEKvMEbmIHx/SAS+EMSPMAQ+tIOHGEHhMMS%20uocTQuEWCkgVXqEqiKEY7oYafOEMcKEYekbkmOEMoGEzpAAb7sD/AaOuyCEdLhlD9KFd6uEfAqIg%20rtIEfaJHKuJDMGJyBEEqhIAr7EI61AIv5IM1wkBGpqQnGmJJOmMpStsRvIJV2FMrvuIYHM0SzOIt%200v8iaP7IGfUOH7wlQr4GKAxjMqWRPf3BH3wAcdUAYAiAAHSDbd7mIeDBItRADRzDMcjDOmTjNnbj%20N5IjDYwjOZrjJ3aJnVAH7v3DIDzGN/gBDdTCOtBjnkyGOU6BPt4AD84DQA4M/PTGiJUco4QgpKQm%20bDTCHkAbIdjCGxjCB3wALXxAn9ynfhqXcSVCKxBBSoTSSSgiXITkSJbkSQJiSq7SLLXkS8YkIMwk%20J1WABYCDBKBDN0gHYkyGSQil2rSAJczBG3jCxPwCEpjbAzgJIxjAjSBAEcRiB8RCoz2AMCyBURjT%20ucmHi9YHGJybj/5oPNHBscSCGfloaDxVVDxOERj/QYKAQR0cQbUYwCuQ3eO0h+QsQRJ8QAbEQRRw%20gJd+KZiGKQcwoknYEeTxpSHSoLwApoMlhzLQlEmiAzNcgC7ogQ8EQSqFQAjkIVyZhBgEgSu0ADDI%20xB8UaWvKxhgcARgYAaGMQR08DgI8KqRKaqSOQaEVaV/NR6I9gKHOB2i8gjmEai9UwRHsgQbcgSGc%20qgZ0AKue6h0swyRMQg2QAj0mqEMkoppeBkTgaq7+k3PcGGb9g53cQxsQAxdMhgTASpkK4heEAGbQ%20ozJYwjCIaCxwwhmMp1KY3nm22smJYGhQxXw0ghE8wzMYgpK9gSwo27K9gXyuqwm8wbsqGyEMgiEC%20/0O8eGSDTZC+6itykiMFCaIqbaMhouA/pEMutIMDAEMbKIAA5FkASEANeuh2gKiIkqhBnChsqCiL%20+oR8xOIeyKh81OiNCt6Z9QYdOIEtoAaQrmzCDWmnEqNVIGlvIAAdgAHK9uhsLNqUnplvRM4vYOkN%20zAGXiinRfimZQp4dDWIh5moi5olj5QVNWcIJtIASHcCxlukWBMEpHMcPrIMf+IGsyMoTtAABJMIE%20/EFTEiNOIKqigkGjUiqlRuqkWqoaNAId0IG+AAjJypMZvex/WMXxzUM5VIMJ2IIUyALiyoIn4AoT%20SAEb/AEr0MIkHEM8ooND2Oo/8Gqu7ioi9uoddf+J9eBcBIqAQxyrOrRD2P4AXdCFGITAF8RUQ8mS%20G9DCGxgBEvBORZGnBxKk6nkraIArbLSsLVTBGzxDuhKZkCWv8i5vMChBPAJD5g4onmjJvvJrv37i%20v5rpIDbnNTmA5bpYG7RBPuheXNDRX54vIrqBK4ioLCSBwflDwjWJECIAGBwBHTRCI/wBoWSBgNGB%20orpoPCVewgkY/jYCyspCwiWwAi/wADfCsfAvAwfwjNJBEdwA/sqCBqRsI3BGHQxYEjSwfKSAAdSB%20J2hpHLjB9V6v5XKoBYWtSTxEHsoKDXKcdt6FM9LAPwCDBISCHWDCKcTAKZyCGGztD0SsnvwAEOT/%20wQroQCJkABsMGMwehQEkqhEw6h5UGaRmsRbTr1PYbcER1oDxbRHQAZb56Awggw+aAzTswBCQQ3Ck%200eL5YBkmQRawAQ/gAAwk5yKuQB+mrh8XsZrKSh66jdt4Sc7oggc4wDpEQjAoAD34wDT4ADskaEmK%20JIICoiW8qYg2AoNga2kI5LamXrcW07nFAgJsglMcgREcQYCsrba88hCYQRNIAwwwoA+cQNPChQpL%20LD1uhyZ6KUClxACQAte4CUe0IAYJFPqeL8XSghS4L3TFLyPMb/2CAf5asSwQMMeGsQAncAE7Qe0K%20GAOPcxHg7wRoQDZHcBi7KAVbcCPIghNMAP4O/9ijCiEIo9sIl7DQugE4pvByZi6s+PELO0QMA/Ka%20Mtb34sVPtQAoymkbwAEQHEcQQ0EMXEEycIEfcABGJ0NL1IUO9MEbsAFNRDHbVjH8bDFKIwDd3oDV%20FUuBJVyijXEZ+6g7iGo1mIMoaIJO/I7SzcMQPMAR9MALLMMicIAeByYf8+Efp26uCnJEEzLsOccn%20tYEuwBgmsMsV/AAsmAQ7sMMufDVYP+IuRAFZR8EutEAUqM8NqILvxqzIxQ/Jcat6stC5HQEO6aIq%20N0IrL8Ar9/UMNMEg5PFGsgO+6nK/8nIv6/KXBjNcHMZstQEkpIRRH+Iy/6Uosu8rGB5OwAaUSP+M%20ATRdB78oocgoIzypU7GsizKCASvqyrKsAzsBkUIxkBpFkjLCkt5sHZiAtvjDziYeukUO0GbAHeop%20cRe3cevpdtCgC3/uP7Tk6gbs8kieQnfjdODwJTznBqA1TemAl07jNPZUWidAArzAG9AEfLim76DT%200ajCbpjhbmjIbqQAr6QAac4Oap5oyR2BE0RFHWCVTqTRGQpDPDyDERRwI1TpbniGMBxBFjgBHmvk%20fOXqniQohSco24Qt6DJGO7QBCJAENZTCD+RCMaADA+jAFOhUT4E3AURBiqN4FEQkNiBwM4iCJzcS%200gxkXxVkW+/f3/qDIOzGFbLAAgiDGFqLtSz/wBI0QSsY9TAMgPROrw3eaudKuJoidEJzUnJy5K0e%20gAW0gvdqIg1sQGX/ZQsE2z5m9oBwti9SX9ONQREwgscaQaP572kDKRnbdhHcbGsDacvCthnJto/S%20doq6qM3awt3KhxnwNtklXM/yhBBNwHAft6QjN1wotwwzt3Ov7iBG98RN9zZuZC7EmwQogy8IAHCu%20gm+mOh745iEcQw0cQhpkwASgQRKc9xqpd468d3wbwHyL8BkCXHrct94cQTXwt39TBX07cBUYOP5G%20anyfAzLsRhbccYnTC5VveoVn+4XLSpdk1glsgy9AwD/AwWNQwCXoAAAcQqqv+6uze6rjwDEQ/4Is%20ZAFB1PhFwfUHpqeJ4ce5hQaNs0A1NENSCEKRG7m1TMKSo8MGZG5HEmiUAzQLX/tASzcnJWbCqgMp%205EEZeMCn1EItwEA1+jM5OsAGMIATZ7Y5eAbwSMzwzMMO8IEoIMErLAETJGGUsCgflIPE7DzPm4EZ%20LMErmAE0GEDE8LzRH73PiwI0CIIZzPzRH/0MmMEYMMENGckSSMwZCI/yzQBbSo45cIIgmIAakAED%20lKLZnz3alyIHbMA3bgCprADsNlRKQmNZbwAyo4NGcgAquYIPwIIe/AMNhEJgw8AaEMIdJJchGMId%20tGo8aAAPaEDid0AViIIgXMsQTEzFCAJraP+C/VDbErgH0u0ETyzBVDSAKgiCLtLGDCQfPJxBxUjM%20tcyAFyLdEogQEjiIJrAxEogCAuCvGmgAs+OvQNRBCuzAOdSDGtyAEywC21tulc9jShhi2zOATjEA%209aP49evABgyDIfqBK6GD3odIZpHCCPgCIdFDKdzDPWBAGGQAIfDAHTy+Bsw/5Cc+/c8/D2TA4VtZ%20TQOEP4EDBRrwN8OfwRljOuwx8sAAC01DFlRcIPABxBkGZrBABI0FQYIZMwqsOMTAmWrNhiBBkgJm%20TJkzkzSRxgGdjn/qfKjzqe4fOqE+iPr4gQIpECBImTZFofRHVKOofCQj+g9rVq1buXb16nX/mFAJ%20Pn1coHChGA0atWDgFPoWblx0U1RkyMJEkDlzv35p0oQEXuBySJppMmAgSTxEJgyIelVOFDxN5Sb/%20/XvYjDBR1UC9qkwZ9OfPBl6pqWbmsCbPSETDo4yEdJIZThC9SliOzxl4fQ8baKDpDF9RJu7ssVEi%20DnLlyZkvL8GLFyVpUxyssH59Rbp0bri7adHCuvYTJ3ToEPq1q48tRQOg4yWNCJEXE7L1kHJfCp0k%20SYp4kvX/hhucmMgvv/jiiw+WNDkIEQ2GaEAYYTRZQBMJNflNwgaG6ECNw0T5a4cD+ypwgWaquYjC%20Bs7gA4nczjgDiUYQaGQPJxppxBYZj0AA/wFhejzjnHqEeSaDGjZgYIMI3pmGyWmscWsDDmgg4pNB%20PrkSyyyzVAILP2h4qxb0xMwqAgf+yYUYD0hxoAIAJKCBg0+WYYWNOrPIgo0sZGHjvx78xPMNKSbQ%20AIwl5nFHpIEUSuggVTRw6AEEJKLIIow04sgjkBK1tCR/TmpgiZVaemmmUmWyCSedePoJqLfy+GEa%20WGSNKiqlbF3qKSCkMoooq37IY5oxhR12q7dyUYcdIA6Q4B9g5IGTCBgYmJbaaq2dNoEMTBDlDE44%20GWKIGcxYgg8+5skNiSXGZYLDOph4RRAYV+RjiXrVXeIVFgQx4xUnDGDC3oAFDpgFM0CJZ/9fce+1%20t9wz7B0XDXZBGfcVPgQRZJ5zZ6ijjhlebACJcjYBhYcMekEEkZNTRlnlljOYYxlCMEAyCgJsJsBa%20nG1mgIANsKBBiS/RAcYPYv9xxQcUxinGhwAywQULGMjYgwkTmLgRgQcq2tiI/2504sMekhCbCTPM%20NsMENHpA44897oh4vySYYCJuuvdjAo07JvCkB0bMmPvsuZkQuwcT4vGTbrFNWNwERl7JV5UUjnBC%20FVVYSAHczHcYIgU1YrkBGx4WYQCdf4pSbwW1VOdgClwmeX0ZQ5aJXfbZm1imiSYm4YcDDmD4nQaj%20vzLzzAH+WccDCrzZB4YwePijB7Mft6j/iCL8KbeccsxgBA0TnGDhF3cQ3XRRhRiCNKKJLLrIn4w4%20wvSjkDYl6QGCFjAgVJYq4pH//v1HgBGoyslOevKToAiFVr/6wRbyEIIQsGMXj5CgAyA4wSg44IIr%20aIFRaCU8D34lJw5wgE+m0YZL3EMdavkdDDbQQhe+EIYtxEIWTPEYvTSAfa8ADG4EUQ5BPI5diJDb%20AljAh3IswSVI0KES72eGHxqgGkdIgkuWWEUqXrFspinY9HS4RJewqIv+SEIdOjAxfLmkHLtBwgJ4%20lIIGnOMXMEIDyaSQhFfY0XF2xOMd+TgHbLxgElTAggqiUEhDGvJmBHBDIXVAHdWd4EtG/8uDD6gR%20CjskQwLHWGE27iC3q8noMBd5wBFu0IhSdmAiY4vb2dCWuB64zW5xk+UsmaABNUhBbe9yjNnmlgRG%20/NJ7hWPE4nppRzMkgWKvaAZINDGDcj3zmXVAwDNk8YZJHEJK6TjdFgCBDhqQonccIEIf5kALc36A%20Faz4ADbY2U5zzmEOvpOSlD7IlXRwhRhyOIYSYICBO5jCBI97RW8MwCMDhCx7r2BED0DhhFeEb3yJ%20Kl+jHvUQSamvUu27VEfitymNdsok+BPV/v5XUh4JUFUF9MkB0SEGWHzhC0FQzzTWgx2b3nQFDmDg%20KXhaT59mhQE0gIQFwBGVNigAAI/gwP8qaJGIc9LiA1CValSpKlVWEOINjEiCP3hkygDd4JcLNUEP%20AiQLDUxACp64gSeGGVa3gvUGUsjCDd7gBFtIwa151Ssj1DoBJ2SBEQEK7F7DGlcpsMEJaO0BWxdn%20gAeYwKumRMARHuDLO/DgBXwwg2afudnNcnazUnjBH3jwBnaaE7Wo/cBqWZtaStQCLnowGjo4IIBi%20AIAaKLhAK4qhBEpMogkTeFkTMpCBPQg3A8TNXQYIMbtlZOC5xb1DcZ9rO0JMArrQda52nVvd6y4X%20utOdbnG5G7PuRpe65L3Deu9ACLex973izYDeknsWD8ABEnDQLxxmAQlSoKIVEoDEMOT/wQsKKDe6%20uEtu7nIXjDkEgwHDAAY6mFG6n2KlHWZ6xD0joAht+MB3YciAFKLnzMwNgWNDWNG5zLA2WzhhDGfI%20mEcnupCGPCR9lKqIpd7HUU159KP0Q8AYnACKOtAPyUmuXwBvMsBVGfAtbhjGLiyxyJptoGfX0nIL%20GRAF7qSiBRf2qVrEIQA7wMEHZRBDACCZiUk8dapxruoH5pAIHqxhE2iYwQOMoKc7xQINakODJ9CQ%201rZNIAt/8EQW0LDQQD8aDXdadBb8owG5QhrTmUaDLLJgiztAb9KM1nSg7/SHP5x10WgwRcTwFouu%20/ccImzgyE0wxAR5gg14D0/US5nqD/wzcmhWplXNrUetga2wAGBO28LA4UAs7QMAO9vABCS7BDSV4%20IRAu6MQoAhGIUYyCDOEeRSe6HQgbvKATZNDHuvWRbn2QwQajsMG6bcCLQHSC3Z3Q97r1jW92d7vd%20+LaBDcLdbnbTmxIGX/e48f3tcZMB3LdYwy3AHW6LX3wULgjEc2SQjzJ8HORd6EIZBEDyA3QBAH2w%20dwn0EYh1lxvmJSgBJUJhHqFMWMz/iACGNRwJBYRCHBtIwB1AEdACaeJDwjiChMyRvXK42Al04MMO%20dkDjgzBqBo6C1EV1zD73bcTH8vNokqVZhyIfWclpzwhKCcgqlrphF90ZxjGOcYga2P+9BnnX+97z%20vohDeOEb3GmBG3L+wVrUQhzbGAccYhAKOcihDYMowXUzYAjLXx7zmTcEIShACB7wwAmPsvwkDMGD%20y5se9TyIGSFkZ/rSax7znze952Ff+9KjnhC/dr3tMR87z38e8xrQQO01ULJJXNfytFN+8i+/jD0I%20vwqsB77ld28I4WP+dU1IhNDSoQ5mGM13nzg5CuBQiitA4RRQCEIq2N8CdkSpd9KigVF0JQFvTiGG%20XNaBA7RjCWVsYAqmIAqmBQCj4Ei6TAA3QBnSYQV6RgfkyXcIUC1awAHkIR02gAYcANkcoDw6UAdo%20YANK51mAoQNFaAu2QAzEYANYaJ7/JEASlAIFkuEJAOE7ruAKngIWfKAF4k6RbEYFVCCRbiYKpiCn%20fCAPYGEalCLnHgEr7ukfvqAQFOACPEAHMGAS1iALxihcIicFbgRzhkCzfEkW/AqUhMHqEMJ8bgwi%20JmV9eAzsMkXsgIx+6AABwMCu6KAIGoEPFmAP+5AP/7APX4HtnmylhIIGCICQbKYAJgH1rI8HhE/4%207qD4ILH4SiYREuAHCaDwPIjMDuASXAEI2oAELuACpGEQamARFkEIcoAVW9EVX5HubAAP8EAIanEV%20X7EWafEW0wAHcmAWf9EWg9EWaZEV8UAW8SAHhFEZgzEHasAY06AYazEZl3EVkREZ/32RFZXxFZMx%20DW5hFnHgELZRHFtRGIlxHIUxB1KxBvDBGoSCGVaKWOQJAiTgB64gFEqhDUqhDC6hDbrgAP7xAFYh%20FXEgE0puH8vgArpgFRRyFRrSIQmyIbtAANogIB8SBxxyFXDgEjAyFC5BIg8hI0ugBhoSBy5yFQTg%20JGWgC0xyFWRABi6SIDOhID2yC0pAAE5O5EQO5MogEHBgETLyH0HuEv6RJsugDT6uFCayDUByFQ4h%20JnPgEJyyJMHxJrvgKMsgGuAACMQsHQaACZ3wBCohGq7gCxgACyYArRjBABZAJtqoAUDmceLK1hqh%20YxCCfK5OIbTOotgwo74Ofn4MyP+CjA7t0BbwsAj8EDEB8Q8HUaVaRSjcIJEKoAnayU7wpAfqpAfu%205LDYYA3eIANowWa4YxM/aAC2AQSw4gDQIx1EyAm/4gTMxJuyYgf/wRn+gQmN5gSwIjdPgBT+oTX/%20ARCMxyty8xFy0wFyMyuUASsCQHhQ4Ux2bgByIStuUxkswYNuMwLuaQr+YQOwAgCB8ytusx3/oR10%200zYdoBhyjhSgoBXkoBVmAT6hDRz0oBVIIQC6AAKKQT9bIR88oBha4QQgwBgeYQAqQALywRfuIQAC%204B58IR+KwT6JwRd8gRgkIAAgQQAAgDcDDAB8oT4hQUK5oRVyoRVAgBsqAAJIgRT/QMARisFAJaAC%20usEDWgECTkAX8gFFB6AYfMECKoAUWgESQCAU9DNFiaEbIDQ/R4AbIMBH4eAaRIAYciG/QkEXiiEA%20BsADuoEYAswSPEAEroEUZkEZPMAKfGEWAmAWTsAYdIEUIPQfkPOnnJB47kkRQkEbBmAKPgGtPEE2%20wKUtH4BjOKZ+xqAZYExQ6yAFEFVRSwUBKqchYiFSNuEBYoFjZmAG1mcGIPUBWEANOmAMAhVUQxVU%20I2UM4uEIPhVQE1VVF5VVDSAYKgAYhOYfmGUneKIobDAGViAK8OEO6sgMnGkBHmQIbuQBMIfqdkAU%20boQWVCAITkEMhCcCyvMfRMin/wagPG+TFA6AAhQgGCggGLqVW79VXMeVXIMhXMfVW7mVEMyVXcvV%20Xb9VAShgW831XMm1Xu0VXsnVG7x1W+/1XcdVAbhVXgW2XP31X+G1X4OBEM7VYA+2Xb91XuVAOi9M%20AnZOBLKCWUjhnrB1KyAgK4wHANrBeISTK4jnTUl2RYkhAHbuNbWCeG7zHyBBKwZgBM4kK2Q2K9oB%20ZzGMZCXgBLYBZXvzTY+HOclEOE9gAETgSo/WNrPC/2Z1WicWKyRAF6AWPaX1p4ozO7PiBCLBWysh%20CkQsrpLAN94SJrIma+iHstSgCkbJAI4gBRDgbM9WGOg2JhSDDo+gDo7AseonIf/uZwGOQBWUrg4Q%20IR7ULu3e9gGqoEP4Vm7jdm4hV3IRIBha4UuQ1kxESD0SyAZP4R+ioACWAa9eYQHe0nRlRG4b4ECG%20AAEm4AO4w1lFSHZnl3apVSskKGunNQKYsES5wTSNAQBMdBtEwAImdHgtAHmTN3m5gXgtYBuKdxzy%204QIAQBuuwQJEIB+UV3u393q/dBvs4ACmd0Kvdxu2gRuyl3uvlxuQVwSY93m7gATAwXkBIH3rFwAA%20YAR8ARxEwBue1wJGgH6xt3651w5GIB+6gR+i4Rqel3h5VASaN33H138fmAS4gUeDt/AGIB1yQQKE%20k3hesx2YkP8ewUxI1jdjtgn/vWIAdo4rJvY24XRanRBry5M1H4E5yzPDdDM3o3Va20FORThmjecE%20WPhksYJ4Vjgr0gGGdU44RdZkuWIA1uQfNPaIM3grUKEQokEMaIABMECxmIAFXkSMWYCMy5iMO2Iz%20flUVsq5y2rhy2HiNK0cQOgAR0ODIWEAYOoIFliCMl8BhZkAQDoIFTsaMC9mQy9gfVCEemmGN4diN%20H7mNBYECiCEEaeAEsJYsiiIPxACSOKAAehVg/FiMz2AMwEAVXmQHXoQF6mAC3oABpiAIXMFonvgR%20traecuE2P/hNA8ADJEBop9WImTAChpmYhzkr+E93/2EbejOHHaCYnxmaiXhk/8FBd2WXTKIZmI0Y%20K4wHAixgWkk4msN558DSTMDhNaHzmsX5mbN5BJhlYll4NXUOm7VZK/KBWUTYhH1KagkUmPl5aInH%20TO6pHXLBeMpTAgjUWp0wHUTWiJF5NVv2kqcYaYnYAdohNxc6hp84nlvWolezTDiMhdth5zQMKx4B%20EqzZN+/pnpDzODGMFKRzAMxEir/5nsxEZIl4KzQWl3MOOf1rWn0uFCg5WxaHEY7OLwgKqWegGarg%20MAoCqQ8jQgwgQoTBAFKANuhQGJhAFJD66AxgcL0aETpAFZ6arHuDUapBDdinrJ+aqoNBGmyudLJT%20m06Hg1JnAz55cShDE0bkF/92hKpFRBQe4LAIYAoAwQe0A7ETW7G1A6VX8zeNJh1g1jaRNold9pKJ%20WbK1QjojQDhxOgKkM4eNpmhHGsNKmgkze2ZLGE6lVYOzeVhIGDnHuaRjuLWJxVrLRKRNNjqnNZ+1%20glk4O4V1+R/SU8yIcwS0w2q3AqcDOqCZ0wF+uQkfuwlNNhfQkxh6+zcd+4SntRhO4B5agYTpeUzS%20gbcg4DSb8DaR+zdbNgJ6EwLuAaBbE5nf1LNL9JvF+6da+gRGAByMBxOk8BNq4RPujGx+1VJnAAz2%20I8GTIMHHAA2OIB6YAAyY4FNF9cjqAFUfwMEfJRY8gQ5MgRFiIQnogAncxcT/k2AT9mMT1AARUnzB%20X1zBY7wO0CAJ0MBUKbzELdzCi6AJIEAHhoEUSgc5M7lX3hQGiKAAMgB6kMnALZUOeqBjTmwGyOoD%20XlkZnnhYHABmsVx4aplZnHCmN7u35Rmal9h4tHxkm1adofljW3vnNNZlw7lpdQ4rSMErp5VZonPN%201/kfmDbDHGAAztx49ryYtcIJgdu1yZzPyYQ5v3IAmBO6fWrn7EAAuiGEfVM4O9g2rRUrYPofAsAX%20jKEYvEEXxsM3tZyE7wmJeziEiSEU8uEaDuBie3M1J4jDYnrnMsy7D4AiRWBi04GFTV2JscKY27sb%20DsAXLoEE0lOIT+ARpPU1/0Uo0N9UF4xhBLrgEjxgAJhFy8cjc0kW0E+gAvIB2+Wgnad1iT+oTGL2%20gdPzGrrBB0AQBt6gV33pFSACIn7pARhh3/ddihrKlx4rI9A2Ugo+UhAAMcbgUejABG7ACEwADPid%203/s9CUxgDBiDCfagAxqt3yW+4z9+ccwOFOhgmAa+4Ake5R+AAlrBEC1Mc7cggZIhKEBQC3pVqx6H%20IBihCPgdZCri4lt5A6oDGGqX6FF6u+fcg6TTZMtzANpgGxygG+ygAs63AlYzpocWPURIFwDgYi1A%20S7fhSIWnNwGgG0b2f7vBAnCZy7cCOQfdArqgGHJBAEYABLrAAz5IAgDADv+6WwCY1w5IAWuJpQK6%20gBv+YfAv4AC4QWMP+hEq1iuYUKQjAATw1wG4QQC+l5pR24Ny8xLAITVpdTpNNtiHNgJGwBGI4QJq%20NtEbuisq4ALygRS4/jxLNrwDeloh4AKMQQB8nTyT2GS5fABu8h8s4Bq2wnaNvwmJ4QD63hfswHhk%20NrK5Ijs/e1qJQRcEgARAYIjp/MKIBwIm1GMxAQB84B+UQBomAZ7QUv3Xn/2FS7iwCi0zoP3nHy3f%204PM8MwM88w3oP/8BIsOENzx4vJmAMKFChXMQZnhDSOAEiQsrJgymKwCwE7lISfj3T506HyR9wPLx%20DoY8LxQaWnRZ8cMcWir/TsD6ATKnzp0gJaQD+ZOn0KH/Hv2L8K/dv1z/tuWzc6IYuG732ugC6QBr%20uq1ct54oChKEgHy5WnXj5uESCHRd27rd6gCAgBGQSF3Q1W2bUpAn3v7cq5TUWF33jF0j1a3bP79v%20l/4TbKeYrzYitrWBlLUd47cinjo4Aa5LhTatwCZd/Nao0XS+uuT7ByAUABFQidoW+shXt1AV/knI%20OmAAX6QniPvOeWmAnXsDsi524CAo1kfOQW6zcMKXHeHTq0d3DDhfPggWPESA/g/9YpCPTjj/KaFL%20gC4SIgj/mLPd13TOkS4VQMxuIhwnXToD7PXVaemYFYEF26Bn1G0S/hRB/yu6gFAaJsFQEEwonyQy%20SiIvjPjCMyWSiOILrKg4QTYjrpjiiySysuIatGDjwgvYqBijiSOuMWI2H7zhYoxGqkhjNhOw4iKM%20R8YYzDFtXCLAJQdUeUmWWmZZxgEHHIPDMi44+ceJMj6D5jNsZJNIE/kc0EYZW85J5yXEkMJehBLu%20mZMFIACQSzvcQPCPHR4E9ZN0QkE3gC4iiNDXCCNIwI0u1e0ZXD4g+JKLAMaM0Eo+DuSyGlEJKhWA%20ABboMoAH3RDTqV9EoZqPBcTkI4AI9/hyTXN85sSNL9yAJJ9yHuTE315CpdPXACBwY8E/uW4DQT6k%20+Pfrog6Exo1w3PH5SP8EApwAAAjY8jmAL0514Ytp6G7TTRcAEJrtPxUIAIkd9ebUjW6i/fOtUEw5%208FEF3gigyzUjfIXnvjw98tEA3djxUSRt2ENNDNOwkw4NOkQBcsi7RDHyLiMTwIAbuxDghhsERPEy%20AwzA/PLLIYPMcioE2OzyMCGrMIUKMLsBM8gjKxMF0kqTTPLJOxvdshs+h2wzzRsQcPXVUSymgw7o%20sNWOcOqw48MPyfxwxRVA/ODMOuvAgI4OG2xw8xRdM/DyLiqo0HILgIiBAgrp6YnVd8ga9wie+Dks%20FDEXCADBBY4UIwAArKZ3m7IDjCDAAboQ00VedlxVr1ltgFAMCF1ckg//oIiayhfA2xxQwey++CIA%20N7IKdYJwkFTpi1gCdAPAsQBn68EBo0MAqHgefHXpsjltvvo9dnSe+7mM5wSJLvRGv+dVrUDiMCQB%20BOAB+ftCAoEHFWQF/m33/DP/P+5lC4EDEOiClPY6OcAd7owABLlgH0iUtT2QcKcChEpHIRQQiku0%20IRQULIEFLxiHEmRQBhy0IAdloMEPirCDcQAhCOOAQg/KoA0dHCEvPpiJEaJwhCJM4QhLcAAZlBAH%20JRShBntIQxlcIBQrnCAF2zBBR4QCiRM04hIneMEohhAHMbwgB0NxgQswsYkTzOITsejFC1hJDm0Q%20YwASuKgIVKACrbhH/wBIcSegyBE3OikLBEAQAP6RAgKYqddXwEGKQ/2jGMU44wH9l5NTgaSN6ajA%20VXLhgUfsTih7uWMFJBCAVkCgFUyxX7YeAQJS6CIdpHDAGvFjuKGcawAQ2B8Du2ccNGaFPyBB5G3O%20c8Cj1Ms5/WEc/OK3p6wkaF/+IdxO0uGfE+yFOwlSVAIHcC5UQEEOJJCDMbwRDEfIYZvc3GYwvFFN%20EhgjnCTwhgKMQU0SkFOcCvCGI7TJTUdcIBjnVKc9qWkMBYhTnNasZj7rac+AthOc66QmBcZpz3Fa%20s50BbWg7KaFOhVLTnOjk5z5JoAAFdFMO2tQmQ/tZTUeU86P3ZKc3jP/xTnhy1BHfrOgBioFGnjCF%20lSDBkzPTYcydRAB6WPnfvoZpP14CLB3tQCBPEvSdnxRDOCdoZmOGMoDFDYBwDrClbYIyVXcVrqq3%208RVPhONMX2LuKAHj08DQU9bbuOcRknRAO3JqGwdESJh+9CRcJdQ7o1RVParMin0kCRT/GNVhPwnX%20YqiTtsTCwQ5XEMMXQhCCVDxBsrOIAWQhu4XMhsAVUABEZjPrgy2ENgikCEIIniDaLZz2Cf2wRwye%20IAYxhECzQZiFG1rQghVcdrauiIFnPwtcVwQBtaqdLSA8a4dTuAK0qfUBKVzxhdBKN7XFqIUfvoYO%20nQyAFCT5AdoSiwL/evQDCF/YAm7P24JWoCK7K2hBy1IBiBhAIQaJ/V9TARiBdfxjHdRJhx3UJ4GP%20LC6mscvJLNkDzJyoBn4DSBQAe8c4SEToQO2AaScHqxNsYUs673kqT37ymfZwJ2x8STBRcpEV9ZWy%20cD3lXS7t95VHCCcXAwCqLBu8nl2mZ2BhjWtRkLqv+qDHqj4+DYZtcz9aAlOY3HGrafzT43oFxT1F%20/Ucr0gELVPwADgAoCUmaO1vRhiAPZH6CD5zhihD44Akh4II61mENdTADFesQiZ2tEQEf0MMerviB%20ap/wWB+4IjgraIduQ8vmP+92t4lO7WlVKwZrucIHQYjzmyPABWtk/9oanO60NWiAXQdspB1IcUYu%20foCSHwCDA3pgCzh8UWc7r2DW6WAGqNfBDnY8IQi4DcIAnPE1LgyusLgUSj5aQbgo+xLERzkjfyLQ%20DhN7kiej2smAfwUcrI71fsuqDnWOB7DP1GeSO1FWdKSzF6MQWVtZ+Yh7oKPsRAoFxzqxscOQYiAD%20Zwvdp3GYUD95jQpEIN4SUspX0nobviJZgZf6N4GJLcevIUUP6yDFD8j8jnc8YeNm/ux0Oy5dNdvZ%20zukQiR70EAE8iwQWp9iCn/28Zh/sYgXOWEEEDr0FkDd359PtuWifsNw8bMHOXCi5Otw8cjtjF9TZ%209aRIvMyBrzEDJP/MwHWu3+GMrAMbuyIBxBN2gVt1/AO7RfGfiLldS5B0hOD76qQElHJXtVY1qweE%20ix/l2mTjoDjeIHZO3Mmt3bdWZ+0JsreE8IMnGjPOPRyRTnAIHDui1jLudFTWuqmdVOhcvo528IV6%20pH3Mr/C0XufZKeXHCkAcc2WrMa0q2iMAAyJwgANEALU8sIt7dIgYGLgfwNcc8LVHoIMDNJh98WFA%20g+QrnwPIF8lOB44OGvA+bl/bADqg4wAaYP/62O++97OPjlwE4GsnQAfvj0/84s9+/ewHxkY2AHwF%20hoRsPiAbDJgv+/TnHrv3hwHc2OIAG9Ax6ud/cuV31VEg0FRgkKf/XenxLW3FdkuBfXKUFUahFNcm%20IUxhFMJxZES2Uz2lFMXQQB8BeDqBUzL2HtN2cFL2FQOzGvBmYufRF2nHFPjmGAxYSwh3VUMFbvum%20GWO1L3ZwDT21eT51GoZnG3uBSyY2gzjVYjlRhBLiHMUBEv5HBN/wDUSwDrXAAcDABRxAHcm3f3JV%20fjRQftiVfsnHAbWghskHA8QwAt/gA1HFHbrHdMNAfdYHfF9DY/vnh7hHHsBAKhDwNTTgf35giDCA%20iMrHiLmHfUqhDs7QXT5Ae0SgEtJABH5QC5sIDDDgNcNHfMTHFsCwAumgA/43ezBgglSIGj1BDL5g%20PBVAPvmGg7Vo/4u1KACh4AjdMHq36Iu/CIzBWC+5kA+XAA4lJozJeIvCoQdtQCgBQAL5kx59F1P+%204ROFsg3pAAKO0DC6dIu0cRUAcACddIsn4Aeh8CcCgCcW0AbfcQKnxyfO0Q6tEAqvpjsVEArFEC6g%20p4z9iINPkSvw6I8DSZAFSRQeAAD5kD78aJANuRP4aAFKwQ3IZhoRiFeXQi2PoS836IsjoDyQtA05%20ZotfkQ9rNCxWtpHpUWwJpFfpkAsAQAqQMCwDIACGxJAOiZMnNkAjAA40hoQ5CZRBaYsy9i0/KZQG%20yRQncA2WcgIWAAFIIZDZUmykYAHN8QgiIBxc5YsBAABDSAoPov+DkAcOHvCVACMBIiBjyAJ58GMB%20pNAKgOIA2wAJP2GUR2mXNWU/NnWXe8mXi8cTR9aX/ghAIGArkEAXFfiEaCR5DmCYJwABJzAO6hNt%20vqgLxUMKxSACFrk990CWI2BluTACUaWZ8QgSI1ABviACFdAoAeAtgemarwmbsRlX+hGFslmLNAYC%20uuABDsCaPYVMD+dJWQFTVwEJxBGVDtMKvrBGA1AaN1kvwkEKX1EMJzA/9MJisqSVECABHtAKnPR2%20dWmbBdlUpKZ5tRme56mMiqJw6AmMWalLctVTn0FgFggWRgFT75FKvognwOGL/JkTM5VhxxlXCYIU%20F5hu7BmUiYL8oAt6lGEDTc7JoIzzm1QYFLMEmPumS1/xVnyhJxi4ltmWn+U4bUexH7M0mj6Gdt+x%20hBFqkNQYAd/GojEqjP6hHuYpo3jlST+hl+ohoEThV9MIP/lxoQQmV0FBjrbIV0SFKN9GSwyYVfaR%20g+xxo1NKpVVqpVeanhuaHhCKpV3qpV8KpmEaoYYEAcVwomKKpmmqpmvKpv5oAQfgmVrVpnNKp3Vq%20p3caTO1gAXZQAe2Bp38KqIEqqGG6U74AAK0AQIOqqIvKqI0qm+lgAQJgPGHpqJVqqZeKqQzYMKSA%20YpnqqZ8KqqEKLtzxCEMqqqeKqqmqqqvKqq3qqq/akAEBADs=" height="130" width="604" overflow="visible"> </image>
          </svg>
        </div>
      </div>
      <div class="fig"><span class="labelfig">FIGURA 6.&nbsp; </span><span class="textfig">Histograma de Frecuencias. a) Masa; b) Longitud; c) Díametro ecuatorial.</span></div>
      <article class="section"><a id="id0xbcbdd00"><!-- named anchor --></a>
        <h4>Propiedades mecánicas de los granos de maní que intervienen en el diseño de las superficies de clasificación gravimétricas</h4>
        &nbsp;<a href="#content" class="boton_1">⌅</a>
        <p>Los
          resultados de la determinación de los ángulos de rozamiento por el 
          deslizamiento y de resistencia a la rodadura sin deslizamiento mostraron
          (<span class="tooltip"><a href="#f14">Figura 7</a></span>), los mayores
          valores para los casos estáticos, resultado que concuerda con las 
          teorías clásicas del deslizamiento rodadura de los cuerpos. Problemática
          que está dada porque la fuerza necesaria para vencer la inercia que 
          mantiene en equilibrio estático los granos, va a ser mayor que la fuerza
          necesaria para mantenerlos en movimiento (<span class="tooltip"><a href="#B16">Ospina, 2002</a><span class="tooltip-content">OSPINA, M. J. E.: <i>Características físico mecánicas y análisis de calidad de granos,</i> edit. Universidad Nacional de Colombia, pp. 101, ISBN: 958-701-182-1, Bogotá, Colombia, 2002.</span></span>). </p>
        <div id="f14" class="fig">
          <div class="zoom">
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O+ip6ST3%20La+SzZva1B0uTp/8kZoigz6mxDYy9mVKPG4gD2WiYxMHaIUaxkzmMpNZzK1oRQWUQA9sQLf/pWkE%20HorJY9vGjLeSS87z4poMUvNmqV5Icy17DRLlf4wXjQSZ8kHigQFXbEAZFwiAGhzwA0r/4NKYjsCl%20HcBpTldAudgIRziWZpPisWoLGEBC9OjDhiMisUGpQMI3vkEfYPaM1LjOta5xghkPq9YjQ1uTvOxL%207HkZu9jIPrayk83sZTu72fb1GcnWsZeovDcbS5mKgtREAH/MKyp8wTa7kACKDdxDFZRWAy7UrYZL%2048LdmB6zA6hQgQ18YB3eg/az963vfvP73/42hzm+0Y8bhHABSSBAA2LA0H+YwwLZ8AcGFhADDGAv%20lUVwuPP8zXGAe7zjIP+4yENO8pGbvOQo/z+5ylPO8jz52skFCeCnuNcA623OgP4o4+2IFxlXZevn%20QGcDBi6gBzVEABcRIMUPlE4KPJCi6U/Hww8iEIFO3yMMXXAFA7YA9K7jyn6oYMAN4EEAyRHABVNo%20QhEeDgSBE0EKMXBBP1xw0SJs3QKQ9Lre9873vvv978raVZJLwue3MUAIXwxkGZBwgiTUfGeuPki8%205nXkXXenAVOAgLqX8IxHPKLzj7jDHSxhCWc44w6k0DSn1SxcdnHD8jCxgAUIbo4t0GABUygeKhbQ%20gIFboAxlkOkC1mGBFcC0CAneGeyXz3zLJ2wi5wXeKSnGjBuwoQklIEIRvMY9kIkM235bmf8/fiHp%20R8ACFtKwhz1AAII0cOAFL4DFC+xxBzxQ3eoDtixVjXQSV9Qg7SXABv3gClxDayYxBQLgAlKUClcj%20ACXAP+GnZxL4NoWnEOYTMcxQBGwQA2xwKuUTeVgGNIyBYs23E9kgC3qgCqIAAtLwAmmQBu3nfvD3%20ApYACxyQevfnAHLQeo1UgivxDQ83EN+wDUjQBKnwD2WQOf/gCqrWBA7IDHGzALVABQtgRODjg1iY%20hQbTNHjWORWYEBwjBEmAS9wgBAuwAALQAGUwc2ETFWTThVHyBV1AAn6QBpcQDcfgBOu3BC8Ifxxw%20B+s3dVXnAK1gAwOWYPsXXf7ABknARxz/mAol4IQYYEgYUAY0MAVUcAK2cAIxUwLE92YTSF5sszBl%204lYv8ymNuABWVAYYQDHUA4ooATgjgjbYsANFZw8vEA084ASmwId9+AIcwAHrh4Od9mnOBItB8g0e%20wgA0UAS14ArYgARTkART8CpFID6BRAPr8HrX4EtTxTmhOFKJE4FeWIofpjrhQCriIDO1cw2RKEsQ%200zkroTbncAF0aA/H0AzRIAa9uAR8iAbCyH4gMHWd5gCfRg7dgIwr8hhKVGHpg21DxC6fsg7bOFXb%20uA7z8CncEI4jVTrkSFdfKDXXcAIOuAA1gDUUUwSiEkA75xS6czb9sAl68AjOwAPN0Azz/8eH7ecE%20TgACdwACSzB1lTZvB5mQiSgkkoFoSfk5HMQUHAMqHvMpGQkq8ciRVjklIZkQsnACLgBP/9BQDSBY%20Lyk63HADJPAMt4AGIRACpmAKjQCMaJAGbmkKaymIg1gB4MAO3NAN3bAyIVMKUTUOkGFc0ZQvn5JP%201MQvcQUqJYNSV0lM0TcQ4/UO7yCZ20APgKNovMMNW3CWluAEa8mLYtAIIXALcmkKYlCXVBcBhaCD%204AADe9mXJoND62ALPfBUEUYOhblEh4mY/3JhvJlAQpRSjwmZWTk8IJOcvlOWZ3kLmXAHbGkKPJAJ%20AHmapBkCdulpeRmbJ0ObDUAI3OAxw/8Uc5KlQNd0nteUEHNVnJcUmQPhWs8XMnjxkaDDnM/wmWvZ%20li8gBmrJAW2ZmkG5mpyWCoKQDtw5m6qiDUhwClJ1DSGjH+WZP+iJngixnuxpSe6ZQyhRYgUxiptp%20ls+ABs8ZnfCHBnHZltdpl62Jl3rJl7OZRv0AA0ggD9ekjANxTbMkVTqao+WZno45QRfaQ+6ZO+8Z%20Z8DTZ4Zjn5bwAqGJmi+glqeZmtgpoK4Jmy4qJUTaXkhACJ+yMzaqfxopSzvKo1N1TT+qnkEqpMcJ%20MvJiG7lRNr9jnyIKnfr5pCeKmqrJmtrZorIZJSlmEodAo+hJn9BEWsU1TfmCphaapuz/457CEyKa%20uZwguqT5aQr7CaX/GQIBmoNy8JoHCiVDg0NIQADsEJVdepQGcVJzZEes2kzTdF0VSpyM+kDu+RFj%20aTJyeguVWqIn2gh0OaX3pwZ4aaV9qjJCxz/Uo4zX5Q0f8AHAhQPQGq3SOq048AXe8AXY8AViqT2U%20tagqElsvWWhy9pi9RoqaAnO2Shlnww1lEADIYA+6SqL8GQJRmqd6KgfqQKxn4078M0vcZUfKJQeL%20EAAEW7AGa7ADOwVhEAbYUA+jZA7cqqopMhmf8zxpZEYj+J5X1l4bO6sss6YcQTx1ZTbcgApniQbx%20WqcmKpeNkKJUyqKfqjIEoDmN5A/k//AFXwCtYIZulNazlTaUkzaUDmAHOzBg6LBE7agciaqIHWpY%2040o2Hns6ILsRL8lhqsGuZ+kE8SqaT0qvmbqpg4ivBsqXVpsaBIBIM3cNzQRc9jhp7fa2P/C2cBu0%20hAgKymVVDWI7DQZhHDY8FZtiVKY+PNe0ZVu4nfFySIpJJQsBIZqylmqnLPurgtiawrqdV7oyFoAE%20/IUNwKUM9wABlxZ1UPcDUqd074ZpnGYHYSBczkQytiNHd5QiabQUkSE0klF5aqIcOUSfUQs8UxsS%20vOskWPsMTqCWd6Cf81qvwHp/YhuzKdMPDZC02AAOG3AA6PYDuFANTYcH3Mu9uPC97/+2mlVnBx8g%20CAOGDQgEXdKkIjiEEt53EB3bu1Jrjr8GEhgLaFpIE7m6q5Drli6rp5ULA+PQDSOQvzeBBEBQO1i1%20ATgQAKrgB0vgDE5gCbcgehYsev74CEI5vjsgXMT1DTrqoNfVTLA3nhyCEvKCbSdhG/KCEirstwac%20a+W6Z/SLrhxhRvY1bCu3wyzHw/82vJaglvKKqXgKtp6mDm4wDyNgAj3cxD7sxMUWDjXAAEBwDdmg%20DgureaKwBHdwDJcQjADJAQKZweJLiJuwAWEgC0rQD0LQDu0gQNugBErwBVD8xD5MG9vgTu/0DwpX%20A6mAAWPTHDMLyPaRCg0gC1JhX9j/Zsd13MiM/MgtByeIuxBhCCrt+JRSuX+r4jPgBnienCtAsAWM%20i4shcLyPu7Jzaa+e5gZBUAYEgAqfHMux4gqg4EsmgAr9sAWOoAwQ8AhOMJpr6X7ByAFOEIzrp8EC%202go78AH1QABCwACQ9CrSDM2yHHi/sisEsAVb0A03QAOVwAwLQANJODtgAATQ3ADqNDt1g4YL4AIM%208A29B0llIM3FUs327Mn2o3WuYA7b8KXDCZI1jKQEwDG9FEjXAAQ1gEjewzEJMXn0EsM00Q6dSbyO%20e6lei6fL25r4KsAEDNEzAQOIIAvdMHvuoA68fLzAHAL2MMzFHIzsh8yDqLr04A0z//d62EDC/SBV%20SmNHLNENTTEC3QAP5tAAzFBQMfBI/HMNN9AEQIAEVBBGJWABCwAGFvA918QO4oDVHn0dfNnVXv3V%20Xv0NFtANeOat7/m7s4QEMXXUQEBFVcMxs+R9VEEyg1OyAdC4/IvKLavKBmm5xZoyMGALqNDR4SAI%20vEy8YsADaznMwdjSx0x1Q6m6xOWj+cI/F1JZDdIU++MPykML7kxxcjNQI6k3DABL5CQAdKM91JM/%20/tBVQWrW7nkNBGALQnAD5YQEUtAAYMAMBj0PbUgAtHtrWw0T11AGnlnRyfu12ekABMrRBTzcL5EO%20tsAGI90P4WDSEIDSjQCdcdnYw//80gRZaeR7tNc0wtul00kDTSwxGSPgD0ggRgl5A0hQAsxgSiPZ%20BKmUUC50NUAABJJxTeIiDtBNNE3z17KKlQG9EBCjoEmwAAwQQv5A1Ii0M7+tXsHbJNxQCgaAlhXd%20v75qr4VQuXx6NuAw3d1AcNdg2Iz7y4odAoxNzMYMAo8A2anrrG6mt5WtkOwBVx3Kzai9PwHkD0lA%20BbzUANPTAFJQA7jXDU6Iczp0pnnmof+M4OeKpF6zDkElRep0OVTABvPQNyAjH7OINtdQCiTwCEHc%20pGLQtcq73J2qr2aTDkGAAR19DW5w0qi53SHQ3TDu0jJOkOP7ARtw45OlL/p32XH/hRJi7Q+14IRF%20AEYloE614A9o2A+NKAC5d0JWkwR9SXDDadbiqF4m9bEJPkHzvDPMUALa5A810ASB9A7gGOYqoTbX%20gAp3jbJ53av/25p9zdEGfjLpAAp0PgIAtMsrntiLzdiO/eeqN7Q2XqZ1hC+WjehT0hQ1UAmUUwPu%200FBr5w8N5Q+N5wKy9w8nUAKpMALgA4JTfloeGasAXeULsQ6FVAJTsAB2J0KLdA4UOVesJeokywBZ%20y6RDfNEAmp3Cmq8DPAJnkw5ugAFAnWB3nt15vpZ83tJizOwOML4vRugfY+g6vh5mTWsQ6w/wkLc3%20V9zICmEsydmQQWsln6qvTerw/z5B4oAItVAEj4cBRXACYllhy8kAjIvrJOrhkvuyfn02MEAOGGAC%20ZD0PKo7YLf7iyz7jzT7eHB/tWfXxKOI06dMgNtryTCVSTsNe2TCR/oBAHjPQCuY1HnJE9RO/sP27%2065BVVLFEtFdb1QWHhTO8WruryY3RKqqD+eq8KAMD6bD0BGcB2K3dFC/MFg/eVRfoG4CIhZ6oWn8i%20REpr4eFqKxz29cQq4TEQSOCMXiM+NEADrpBAn9KMruAPBEADLlAPLwnq7rm071kQFTZHvjMOJhD0%20Ha7X/3uXR282n4UBqGAS3PD0LJ7sLB3jyBzZNk7Z0n75JyKbfen60TNM3RC/xf/EQWXTBTXFDGkY%204VRQ3+EDPjcQA0Q+AvQdA0f08jD/7lCDpP2UEp6e/VNh+7vD90IMEKZMvRCDJkQagWJCLPkRwWEh%20B3LUweDWrds/jBk1buTY0eNHkCFFjtyoLh0bVN36XVOnDMIdU2IahQiBJg0HDk5wcgAB4lFDBxEc%20tAqDDts1pNf+YWOK7R9SklGlTqX6T+U/f/++bSHgz18/rN+yViVb1uxZtBy3/dOmDes6Nv4EMCvT%20j8gCAUKu+btmdy4GczUErFBioaNTj/6yZQOb1Z+rf+tAYqMHVuu3fl/BNkWc1vNn0Bq53SDxDM0t%20mgJfvEBj01QjUzQbOnTgoAL/OHYVL4bm3btkPzZxv10T5PKZEzE8aO7EqZODPZ8Of9S288FoUqWc%20+Sr13f2jU/BsNWpjIwusZbdL1Xfe6NX7e/hRwa4Dm95fkxjXwJSosWCLhWvCQaKEE1aIq5wpVvgH%20ssMSW6wxrCCT7DumOPrGLafOYS8+DrvjpozSLDEoBNUKOigh2RyKACKJKLKoQxinSicdVBroZjg3%20XIJJJppsam6nnn4SSqjqNlgpqaWaeoq7GHsLD7H0MOpHFjbcsmyz9T5yr0ku4ZswPQH8uyaGJFxo%204oZrgLimBCJcWKAGrwSIAcKNNtRIMcawijCyyZg6Z5ux/BkBQyW7NNQsblCB/8A01EgciDXXGpkp%20hNmEsg033Q7VNKN0vEEFA38s8McR45BTLgTmcsIJOiGnc6C665DUDqpN0QJPO/uwIgADbba8iLMs%20M/Jqy1qLreo8PbcpogkXvmkgBmilAAMOMBiAdgUqSrAAQQO/czBPxyQE6Z1C/4FH2H7KNXZdjrhh%20oDQnGi3RIIRiWqhSFifKlN0mZ/y0GwBzfCmmSX1UFacggSLyAyOxS7JCWvmV6smm/OkVq6x2HQFj%20jDkL785hJRb5own1ZGMBKSoRAI5vbjhBCgZqaAKJb+CgYYFULJiCGWZK6GatOrV8UM/H+JwsS4o/%20FolY3uzUqKtvhkMqnKSEmP/nGneovgZArPrx2ivLzPIHFT2WOM0enkBAY7VMeoItRdoudXG3Q7Eh%20124//XEK6F/f8Qabv7HpQnBXmiJXqnSwMSEVlcIpblFTl2POOValo26HWKGalcmRyar4q76QCMef%20tbBRAhu+tiHHG3DQaf3va7gZp4ce2sGYHHQy80f2cbjhZq/OOcTud99/j0dvbAhApAY5MCi8GwIa%20gMccNrbBppsRZPmnCwxoSAUDAqbCE8KiS27wSaTVC2lYpkFz+ptw/gkfs6fcUfMaNJHSK0Ake/OH%20gACY7RZoA0EaVrOantiLUiqCyCHQMbdNYUNDgCOA9VB3MXhsxm53Y8rg7Eb/AHpUKCozGkEqRtAP%20brRkYDyqyU0OljYhBeVVDDuKrJQUseBRpVx8wcA8LOYUctSwgxtAxxfQgQ5yyI52dAhHP7RRDnJ8%20QQnw2N04evc7zuXQN8OLXfGOp7d+1OOI6AgcRpySjaWkqx4Ysdg5xiKV8RFNXN3RHfve2LSOFCEG%20K8DAN1yxghUQIXZ7KQMRAOkOd5QAkDTwTT8+ULazpe2AL0gDCCQFN0vdJjcv0pSGCJUVoEnpH+Yg%20wJOykTT1kYSEOUPh446THMnthHI+aYirYFVDzVUMh1qMSrmQggF3WGwpQbTAOrSBDXRsYAM4YGYz%20lUnEIuIgDNI0ypKy4zRe/36GYthhB5YQ449vbGMbSOFLY9JjzPGYb2lDC5fRfNM+jNlRnvOkpx1R%20Z8d+JEEbAqACAVzQgBLQAgNbQIqcGrCCEsyjAUgA5MU4Fs96RnRY71rCLQYoyQMmUCEMUVFt5ACO%20uUlUpCMVabrOUbh/bGNC28iGKwyjt5RW0GtMIcApseFEQJHUHyTEACr6EQ4V7qhgLnQODBU2lKLg%20ci/puulTuKFTqEZVqiRl6rB+yYBraCMz2CCHP+KHjS9UQA8H0ENZy5oDPUzBrGMtawW6mhTkTVWu%20c6WrTqt6FHGQ04nkSGNG+jGc7WQDlFnJzJ3CNpI4tlOd2WzQYVbADHMwpf8BVBCdV1cgAH9MQQrX%20MMcNEKpVYXnGHwwIYCR7MslKvm2BD7nUJulmqHXwRbbkBNCwRneN2OKWL7nli1784Q7EpWMEN/Ap%20N1wZOVRNblXRiYAtraPUh6Ful4wNSaG8cg02lCF+W8Ud7nagh1bURg0/IG8tf6AGB6C3Ng5YxAbA%20USHAYZO6Z/HG6jwmDvA4URvd6N0gseOO//CPSV6rSmL3tNj33NF9HYkfBppAhKxYgBkruEE/RFUE%20KShyTkWYyxS2ETYFl2W0kLzoaTMKAgVWKr0SSce+DpXVvXCjBjTYwjo424AGMGC3e3EHDWoQzGs0%20AAM23ksWQ0JCVNxgOEH/JViPiAokWg7pVUl1GLCmO1+P7BB/BH1YENEhhwCEN7zjHW95z5teNDsg%20AKB47628geXQ1De+TWEHftkTu3a0A4u/E0IDAJQUrwU60HBk54Hj85W2aFXQi2Z0ox3dD/wWWTPf%20IABetDG6EsQAA03U8TVSUQNA9gMIW5ATAWLLFmNq5tGrFrQrSFDREoNgkm6b1GwgIrdxYI/Vu+b1%20rrs4DwwkYQVvugYR9igANY3jGoIRQBKQcI0yQAsDabpar72WDnWMoEatLBUskyvL5baKOs/FTrpW%209xXfWVvd62Z3r7mKunjegA3AfaLplHEPCNTmB7jABSl+gAdSABzg+8ZF/3NrEwAcoEPVTGl3wx3+%208F6XoxyBTso84qG1YRGPVl+J3p8DhBYDly/BTlyHOFV68pKnHOUrV3nLV87ykltgBU2oARsYcAIq%20VIIBDHDBClKBYyQsIAlbqAFAm4CKbJx8MS5nOstZPtrSxnrWCNmoiiPiBjfMYwQmaHrXne51sJ9c%20CL1jQCmWLQUBNGABNGiAFGqQ53YoshTiKAM3MLwAJMBdCGFXOdZNgIqcuYNUKxzqjxAWZRm24gNf%20IIcFuGEBC2zjHEpQgkrz/HXM8z3zm9d855VQj21ow5hUE7IQ/pGNegiOBKpIrxpwse9/B1z2pHi9%20edUcBimqnB6c533ne///e9+DnfKUL/k81sGNeSDSAuH4hgWAAIR2QN4c5siGBbaAgWxcQwgWEII4%20F7MYcRIaXIb+yDW+4cO9CEG2ZdC+bP36ta+sIxsEoH9N639//Odf//rvQk2FMP/5w4ASWIAVmAIa%20mAK8WAEXSAWfwwBAOgEGaIBKWIFKqAH7A0D72z8NzD94IAASIyBZOzHVsrXaqABBCIJS+LsNXEEW%20bEH6AwJb2IIP+RBaSAIMawAgkAIiaAcguAECFABke5YTeJN2YAAgYAAXpL8g6AIGQIUaYIB5AIVu%20O5VUmaVHsJxX2YEPIIAy2DkhoL8u6D8hYIAvTEIzPEM0bMH+6z/6EwL/IdgCJNgCbXCFMEyFR3iG%20O5AGacBDabAES7gDQAzEJSi4uAmAD+gCIRgEIBgEN0xDR3xESHTBnfPCsiuDMiAABnAFAvg8NqA/%20V/iAT/yAxZMDOfg8VyAl/Es6BBOa8RO58nMHaIMT7WuALdgCd7CAYDK9jvg+cTKmKAkNcRAHfxDG%20vtAgbIiSrbgIHesHBoCH3dCG6bMAR0MLSiOBR2gNEJy6FFORCGiF24CBXHutLukivSiDFYiBMkCC%20JmAAbmiCIuidHGwTHZwCZ4uBZ4sdXSQJkxiBEpLGwROqHgG3w4shIgEFJKKa30mSIHIqOBOJmRKW%20WZSHlNIbDCggi0wV/+ZIgzQYxI5iL0FIIt7xnYb8jOEhHizKCov4CqZYHdxxL1lABG8orGxINK0K%20sXVqxTnyCKxpgMEQgBtwhRggQBeQNI5woqWzSTzaiHAAmm0wjMwQC3MAJ3GED+gpm1tAg2wUwVrr%20SE1yMUPpCty6Bs2aNgygghsQgiY4gTLgFSkoAmwQAEW6LFqYAiAzMpCYEezxs1HpthdADRcyPFap%20pXHLnGtiiu0YyT7pjL2YBzYwvWPqB0TggUyYzExYDSdAG3tIA+iwh4UoOFdRM2/YHd9RNrtETKp4%20PD3DIqY4og0Igx3YBNiMTdnchAu4ANpEhGo6i5DLyY5ACqJDAmqoAf9biAE2WAdxyC3O6Qf5M7Vf%20/AeIWzVsIMZyAgv6yYhv0AqAASdRMQex8IfpE4vnnEZzeDVsvIMCmjUUq7qObJF50LXwfDgbszEa%20aIIFcIFaEAIghMsyyDQhUCQ5OYEaKIKdKYKoRApF4zW8HAEMMAFuEBiATC60KaqEkTLFaxhAIwcM%209RrfOdD37FCIy1BFQwoLaADIOCZswAAe4IEXqEzLRAOcqKRKAgGOjBsByB0rsqLf8VAd3dFHKx7/%20Sp4jqoNFsAMiJVJVsANVSNIkDYAAsINWsAM56ApV+xrxIx/e5Ai9CEYMoIUa2IImoEc04Qa90Ajl%20nL/2qCuJSiXrTA//c3gpUUIjLUmMuvqHd9ADP1ibrFyN1IqN1YIINfjGXBsBNEVTpkCjQ5iCWpiC%20IpCfKSCClCiCRfWHRK2BCtkGGggfYYKqGREUHCSOKYwlwGQu53ov7EAew/ydQU1VVfWKz9mOICsD%2059QbRDgNEWkNF2WOO9gJP/DM9QoAdLCmJFlVYR3WegIe50wmQcCBTTgA9RJM8nKAZ3UACIAANaAG%202/hVjkDKb7FSd+pNALkBZhAA48MAMCDAvKKaomyMQNPWtJAvjCgmKdGG8EkFyMDUwnLOUOKN8ayo%20F8jTF9AoTBKKj4KgTtIQNEoejAifpdCG7uwKbTihOdQKVxiL6wwu/4vIsX5gMjFQiFsAAYE0Kimz%20AypDCm6IriUxzSwTIazYi4FyTqbAAEhpDZxwUY/1WJ7ggBm1FAHYAFdNEpQ9i+EIJyXwBnQIgwsI%20APHaVTVY2qXFBTKLgGmtDVq4hy9QsK+oUjnqVo5ACne4C4LiPn9YlgZACiDwiEUTFmKNNNn6mqi5%20WnDiDFmQBY9ZSYZrtEHNBkh6gcNDz0vq0xIEqXAk1qi6G1cgl8HRhnOwCq/IKXNwzrY4F/cYC8jV%20KbzshlRgx+MSA0YA1YMJTIOboVhBVe1AVcEtXZK6qXtyVQxgg1j1horsCdgNARBAFVs9DTTgyM8M%20gA0gB6+pL2UyXf/gXVWVUIIiujdVGK/Xs4YIwAPy8jfn3TcIYD30uocwUDQ2IrCo2E2t3QhuCIck%20oIYSoAEkaAAw0CMBQAqsej/dyVZ2NQunAaeswAxQYgq/SYUQWskJUtnQ6Id9xUaMQiCqu5eOUgMW%20C8cIwhsJSp69ARSMgEaMyKmUYgth0pPg8oduwFiNbYQ7aCHDA1kZElnCNNkrQ1kt8wcMuIGHQQTY%20XWGPrYnWsKgXyNmDc4OFBBwi+lmzGIFu8IcvaM0DON7zwoVHqAY8wINqwIUjroYkjgBRyDePwoF7%20JQvtXcWMcAUaIAIBmIIa6IIpUNQSzVdesgx6SIUo3gh+1GFsAAf/dXCDiVAHN94AQRAENnYDR6hj%20Nj6K6wyVjKhTWPNXt+FTq+tKTuIXerqBdkAKppozvXEMi2hkC7anptiazLi+AMGBl8gEyZTdKgw3%20LISVwgKedPnk0oQRptgLduCLcBACIAgHBtCzG2CAPwMQC8AAWL4GGiiDhUJXxCgypHCFBmCKocUA%20nRhmVXEOYnaCNMADfTs4p7qGI0pIHPYcbJCdftgAEggBSOGJNOCBgkADj2WETOAAP1Czca4NRgK5%20QnPF9XmHLkhcOu2CkRyLdUCCd0DKM9abNcY6rFvjOJZjOq5jRxAEGHAF88MKurEAEvADi/LjAF6t%20FYkIfRlkdilk/z1TSaYInJCxYEfe4R0eFs64hnlgCleYNm4Ig0sG557ggCcbyKMqEssAHtS9rlHu%20EAmStHnwLCkYyhuAFrxD33DItBhwgf2MgRJgBhoAgs5w1WvwZWA+0Rc45mKOamRW5qAQCghYEm44%20otiJZmmmZmu+g7VRaY1cjVvlgMkUZzVTBaH4ARoAB3TGye3ViA8zrHgVPZWirrE4B+w7LDK1AHWA%20YwRggRwYgEAIBMI27MIm7MM2bBpwAyZ5NyB4tYX+33+1pK2MG0GeymKhpwbwrazQDsfACEkb7WGM%20TtPeGpoiaZO+g0xA6QJSrueIMufKnawA5Zuq7ZnmkAS+LnloAP8ioIIauAZAGodMmxowYIZiW4Am%202gIwaAL2Ux9e1j4MSBclIIdfkGrsHuZkrg3aCIBmfubc5uqU7R1t+OqwLiADghSPlUy0DoByjgAa%20cFeSmGKRKLnQywqtaoux4OtsIg9XaM6N8AY3QIDBnoABOPAVOHAFX/ABCAZmMAZHwF6u+gcL+EDK%20BliOYq0W8cp14ey6c493uycKni0SvwbTxq+84oZ+8IZsUO2XeAHJTOmPndAPxhx4g+l0kekIMtHc%20sgAGeBNuCJN2SAK8w6rjtgAkoIIG2J0YOF8GECGlNocGIJfVEWaovvKc2G5otWqs1uqSFe+pYAqv%20JgGw1luNDMH/sj5rP1CDRShntnZr3UznK10a/m7fidaTfnCFKvGIOlYGFhiADMiHJwD0AciHQC/0%20QH+CfDB0CpiAHHCEdLhfb3izbEjoyTYxPbUkQOZKTJHoDp+nBvhwNuroyF1ZjTv12BEHdriGVWeq%20bcCAQ17t1m6b1xbIyvlcT65twrrtk9UUeMOGtTBxH3SBcUCCPTpHrUECAWiCMNGxGlByfyjbXXZV%20bcCAweHd68byK9fy7v5udIBmMO8lbCBv8zbzsVZvDgDn9mY9aI3vt+ZWKk4p+vCrCVHO0HMixkKW%2008MAd+YIR4CCP8+HARj0fMCHQi/0RR94RM+ADAiGHBCEdLib/0mncEuXuhPbRg2PaM2uFQ8/ZDaa%20J9FG9VNXdVZHCqaodjVZbRindZXuYBpfGCMR7c/O8cPUFEhzCt2xvhgIbm7owRKQAn9AAh3zhzJI%20Aikwh3DYIwYYnaR2GBJ9N0TQduze7ubicpL18nCfmGkeh2om87CG0UxohDQP5zVvc31r63fP2nhH%202/bomvnSd21IhVX8AyZ4gifYh314Any4e77ve7sfA8Bv9IePeK9Qgqzg40sPQQSybEz6W9cSmUIu%20Ax9io4cSbdK+/NkyeafAAL2Qddfe5NgWN9D95F0X5QiyjKyAi1qghRXYggY4gXLdAlegBQhMgiF0%20AW0wExpwv/9pRxLn4SpyQITszm5uFwrvHiTwznpxJ3evN/f0bo1vDuclUIMAaFZ3j3O4jvewWVfR%20Sw/Rs/N1sZKMqIF38AhDeIBAeIBYmIEZiAUFAIA1AAAzAIA+UIBYMIMnAPwxyABHBwhH6s7981fP%20nz8LJPzcumWPAwgQLya+AJHGlJgQS35E6FjIgRx1MLh16/bvJMqUKleybOnyZUGEMhGWYTAPIUqc%20KK9d89fzp8+gQHlew4btHwYG18JAuPOCR6aIHNJw4OCkKkQQjzg6iODAzocN/U72/IetHzaEPGGy%20bcvWqDaZ2xqUKDKlAYMpRBpYsFAEQ7gkJTBs84chCQGiR0//+iT6r4EsbOSwIbpq2Srmy1fT4HHQ%201SuEfzy5oUN3jZvb1KpXs1ZtlNu4fhtI3EHzYqrFiWiwZsrEwY+DAMAd/KABrrVKf9myjfVX0NW/%20dchXI+xnfTp2ldpOatN2jgCGmP76aRtr6EGHB2sAtGgBwMoaKwAAmFHA/smYMRkoTMgBQ9w/JY1g%20UjskLNHQQxFRVBEIjZgSQggcdeRZBeCMVFJ2Ga5WRgPc+LOdTIyJsw474nTjz4kpzoQiPCeGc40S%205Pxzww1LNZUJI1FZhBVmHNijVUc/eAYWOmOJ5hxa/Ti3loZNnpSWUY0R9c0/4VD5DTZUtrTYTzxt%204woGZ32B/0hmZWpmFWeeTRiAaNxcU5qbTso551vYjMPNOrM9YttUaaShGxogcJCjNH6oEYAan9Gw%20GHbKMVfQc9HRydaKlVp6KaaZznSSkv6Al9xJ5z3wgBnsmdGCFanSB4AC8uGXHwXB5OBGWigO+I82%20C92CRoISUWQRRhBKGMFHh6Bz4YmaKrsss8sK0QA7H+bEKU/iEHJpsrai6OZk/2xRI1NOQSUVVldV%20FdFWXnllRxhFMtZTP+SQo1ZPzdp7L6ZEEaVkeZB2WmmUUvL0DXjeSFaZmQlv1lkEXIU2Wmmn4Tsx%20xRXj+1psszm1Wxq5vbBbVThysIQai6gxYQXXZOhoc5FKN/8pzHMaCZ6RKolKKn2ovpfqGvY9YMWr%20+8mqjsoCEqirQ1ktGFEjjQjbkVcOVMgOSSbFTKc8Dczzj5b/ZGOUOkG4MTY4ZYPjzdlnG7w2Nt7w%20ZJS34N6YY0RUlVvVj+kK+dUH4BhZVpJLqnz1ykKZZI5JzmW7YsD6XtMPeEYpQeaZlaPZ2WfBtfkm%20OnES/nmGRt2pzWwg8Onnnx8HykEmPNxBMqLERbDoysu17A90L8Ns3b/OgQ4Tktv9A947wisZ6qjw%20saezquu910HQsebATk9Gf6grr0r/CkKwG0HtmRwWVv17k/NgIASuvHvnTTrqjO2G2fGrjc3Z2NDj%20dlHzcmj/o7g6TlWVubKSrq7wTSzUMgta6EW+6QhlLKgwB9dQtKWc6KsfQsBAkdCBASdYrnJpytzD%20uEGazqFmgSZ0i8HGMQ7S0eZ0HgMZ6xgxslbEziufmJelVMMySOFOUibkHRCDKMQhErGIQuSU8LqA%20AQIYDyWi6kCp2lOq96zHZw8IWjCGlo6YKME5BWJI0hREkY456GkekRo4qFYSI7KxjW58IxCvcT6u%20/QMt3nADKNThiCxA4Q9/yMIfAZmFQf4xkH9wBDewJKML8g9H/uORufIWpCF9wF1H6oZkyNGNfvAE%20jp78ZElUdCLriAMbpRQHgPrBBleQByZcktI/3oEBJfQD/x2UU5iZPrimzcHpcZ/8JTCDKcwUcoOF%20tbkN6gAlqNa97lC4UBSjGGg7HubuhNZkyXhOso1VNhF5a4AifewjH+fRZ1RPoIB++JMDdRwFIeVA%20yDew16ulcS8jEfqeGkKSjvFdszXXwMtZnkQ/9yEgB4E46EEHgFCFKnShn9CGIv9hAQxwI1xP8Z/d%20AogurqyrXUbyCQJrxaR+xmSC7VRZPxoAHeFN8F1E+RAG++GNynQwl5hzmGhOE7ESkrSnZsEGbPwx%20mxB8DDepg6HIlkDDRHmlAgDKzg6d00PdEW483fHpOj60jrGsQxZsyAaushqdJ9anD+2xz3wUoFZz%205icDWf/MgSDUAQ51eOMLx/kigrQ3EaY57Z7EopCFxtGNEfhUNXLcwje+8aF+yNURLBBAFgeQgQzk%20Q7KTHYBkMxsMCiDgGubAhhIkioSKzk1HdgMg3rTCkb0RyTrjQelZBOfTTaXkKEa57T+UgAFX6ESU%20KBoPJzlJlHDgCgNdIMfkcOlBzK2JkyKEE08Le83JqJCFpkOmn5QZw5EdSkgdoUERdThNqVYzZsDV%20xjq2sZxtsLe97n0vfOMr3/m2NxvptV02ZLHE+25jHdkwRAcCXNazWqFU9VGAOSmgYHU6wg0beAc6%20QIEOrslTrxW5SEa8NyGQjG0eIzABfUMs4hGT2L3XQML/DbZhDm1k4x3eAIUxMMvQAVSWxgN4wo0z%20gFm3ToAV82AANrqgDSDUwAIWHZeg7nYu1arLAa3YQRiUEA5t9GUbSvhCPZQAjyqXuMtdhgeYwbyN%20erD3Hdt4B5rRrA3w8LYk3XkznL0D0XDQORxC8Mc2UgGKenxhgzXVTJoaBppvWKAd7fjCFwzt5UUz%20utGOHjM6etCObOjpBbcwqm54I0Ol1tABN+wvqNNLVUqN12UvEQJRLPCicFjgGqjWF0p4hxD0ZoMA%20tl5OrXNNAF3zete+xnU2zEEAYRPbHMsxdrCPrWxig6ILQegCAaAdhFRsYc3m+EYZtkFWBZxqPgBw%20nlrT/4PFYATCDUFwx65l0YURDMJAl3ACr8T4Ah2V0a8fkZogCFEKeJgA2v6ONsD/LfCA9zrXBf81%20wg9+cAZsoQYmgIcs1PEHFuwDHxbHRz4ufvGM5+MJGHerWxEAhGi7IhsMwMANPnCj3tQNkql9xCSd%20DOUuCEEIDBBCtLug85oLQeEJ/7nPg47wD3zABEA4ehBAQQBUmKDpDABFFmxRCiiwwKAPCMTVs471%20UY2KCQfNQhDMAQ9zpEIWBKBHBZRrUzV5JQA1B4IQiF5zoNNd6HavO96zsYVrAIEBFmCAP4BwjS30%20pe/XuAEQuNEOwbdDCHDvec2z8WxXdGEQgyBAGEhQjf9bYDd1D9lVVdBgiVbogSsOqAM5fg1s8T6K%20vD5sCU+EcIIi+P0aDChCEU6jlOimBNfrWEd5lOTb4aPojaE8PvKPr6R0MB+VqOzHbrM0Fgv8g6zs%20Qes4w4me6PVHHNEayzuyZI4D+MEZ9giUx/aahkbYc1jgE8k8BuvJ255F1sMXZhsZ0IABwcMbUHhA%20xT3BPjwBAe6DAR7gAU6WW2URArADloRWONwAA4RLb/CAVGQUVmxUk9mBhAmXm8SLvIyHCOEfCfIO%20OaBDN3wDbMBAOmDDYI3ACHyDIziCOKxCjMnYAOADZulgPuhYD0pWMAxAFoCCTDQAKpADOPyC2gEa%20c4H/RpuMwwZ0TmyUIBW+0T81ABDwBTcgARH4nVIAgU+4ABa2Qw0UwQ24CU+wQzqUSLzYCTfIBgmE%20AOdh2m1wwESE3uiVXtSkjGv5DmtElam5xDW4AwaUQAwsQA34QwyUwAqUwDw4hkpYx3KwlHTRX5Rg%20wyrlhDZcw7bVxxSBmwIE2Lj5hzj4zmR0AwMcwBJYwm38iK/MW0SYQl8Ny0dMDT+lhm2ZxQn5w8kN%20iFAhQCBYQXu4BwAEWICtATJ+0xrsR6yE3OPAzeGVgUXRzY4oWd6s1pCEAThgA6zRX2P4lDfMi3DR%20lTf4AwyaxAz+wSfkwA5i3MXRWD7EYw5OVhAKREF0/wMqoELbKOGfZYYutR0vdc7gSBdb3MAC0EIS%208AQjlkAN7F3sCQAtEME1EEEjNkENvNRP3dadCBUJXFefeB4HzCEHoAEakJ7pVUA0IQcgTtVLXMM6%20lAE33AAtIAEYSAEDgEEToNo8EFes+RcBAF9yVCH+YUMLnpIpsQEbSIdzKJb1tYA4ZZ8ZmMH2tZX0%20sAP1jMU5pIUFqKIlnJ+FMU2GuR9IiETVCKVZFlHgIYEJoIg6IAB6xEJ7AEAsGGOAWYExPgA+jAEF%20LGBnoYWMHN4NUCAjMAK5oNaSDdC6VBI37otk1N8InuUvnWBJiBAMqAM9vCBhZQECNBRmPUFl6SA+%20eP/mjXWcZdUjDMgEKrABOXgDPy7h5XgGTp3GCD0mZNZmP9wAEsTACfyTRboaTyjFDaxADBABEAwn%20ECzAbhKFUWIMHMohMnlMVdwhCNyCJdiBAEgISADRirDe7ZRXS7iDT2BDEVBBGRBBDPhDAzQBBkAi%20p/gkNsVMLsanLspnLv6DKzQAJXLiqIDTqaAVKIpiW72VOkSLc0yGP4wfQzyEK1JEJpDRg9gbYMGA%20YFkNQQKPBTQAPHyIILilMM7ADLRAByijGUBRVAZYPuwlXz5jO9HIBjTFCzCCBYbAafWIJDUMJaHD%20Yq6FN45UP0nGa12DXPnNOToCMN5YIAxgaBKgkir/aT7opYIFYRa4wT2aAAasZmv2oxP8o+acBud4%20ToW25DUwAxFsARI0gQCsgEQ+jgWUABiUQBJwgwtQgZmWQVk8SUaOjsacTnbVoaXhoR3owYahZO20%20XiC2hCv0xAk0wRQwQBI0AVJQQSLWaUpcR0FQKnzOJ6bSJ6ZqE2HoRPXtZxRh37exSiheEVX2h1Vm%20U1YmBFd+TN1MRCYwCPuZkVfk0wYgy5fCBE80gAmMAOm45QMsTyzQx3p0gLcV4xqcKD0GQ2f5g2QU%20BI1Mo2k9RI8IEEcVkHDpKG7x6DX5aGPQlZCeCCiwwACwAAuMygx0wAx44ohGZR/MADPGygC4gTrE%20/8QIpAI6sKZrWkagxaZOmQbv5apKAJ5u+oMLqGei3oA5nFgM3EAJlMDtLeIK5B5OxCdQZUwLPWfq%20RGcdit6ffg8NeENKyETNtMVKeidLFAUSrIAAJEQSLIAFnMACJMY2sMNLhAin1KZR7qwp9WwpAQUQ%20aQMSEIBEjYV+oocntsAnzkepAKh+vBUMUM92hN+BqmLSLCisxuIsfg8aqdEmUeFQABdkskNKMYAS%20KMGGksowKu0MrIqB0UcHNCkzMusbYkM9iMa3UCCS8QiNMhlrfcAXYMOLfKBklGM/0KZtupG8pCBP%20qINcocMI+IM3KMO5dl2AqVXbflsHzKUZwOuTTv/AAPyBG/SDgNCAEoDDIezra2ZOADjXbL5h4kJm%20TyyARCaqO2wBFWAAEmBAESzACjSBFNDAAiSBP0hBCVgHvJignYxDnmTsR07E51VESHKAHSxCoNaf%20+lxVapzs62GTEEwBFTRiDTDACixADNSCOIDnQMqaH+ZEycqJpmqqSwztP2yDkTSlqFaRVEJPgMoK%20DHTSP6zq+K0iSXbMK0bF+oUl1HxESOCqwLaET7ABAWCSIJxrBwzjujJtVIbTiDYpf4RcKYJWQZTB%20FqjcHVRg3VCrRjEZAbGLWHTjtg5kj3rDifCE2dAwJk1c1zGBuvaBWhFrsXbugrnVvNYrQnQDvrL/%20JpZihpY+zL+exgO3BBKUABXo5joI5yJiAzNA7BawQSOWgSGWQPCmpG1dbHO60MbaYcdWpx5kTgV0%20DWN4qsmWGku6BDa8AyLQwAnQABtowxakAgZQ33ikpErYV6wFHk8IRTj4A6v5QxkwskSZgz8oVmLV%201k+5gzz4gzhksj9QTyf7RBCURTj0A3FZyUm4AhJAimhYnydSUTiFIv8+bX8MaDZtgwtqgypeAizc%20gT10DIMyzYOKpS2WRJdICXgqBS+uQ70IngX4xIsoc9jW71gYSb+AFXlch6fU0fD0w8uAVTZo8jYQ%20ABtIbtqeyjC+slr9sBkkazptVrMahZK0QwPs/0BTXALLJZk1AomN8g2OwnCUcKs1GQy9xM+JwIAy%20MEHXocd8OKXmwoexzsCCyWsWqENctMhuJaHqZmkTbqmb9FIUs4QrpMIJ1IAraIMs1AAGxAUbNABC%20rAMSKAUBIEENyIIdu6Ex6WkaM4L0NkQMWO/eyAEh/yEdo+xKtBM8+445uMNibAMlpsR2CM821UIR%20qIUQCIALbMM1WEAZFMHDCgANWEAtlMAJJItK5KJQ8EQQ9EMm/15P2MI2oM8/SPI3jwUDIEE04e98%20ZB+3Oa3QTM/31a8L9gNX2kNXypustt8CjyWy+MOr+YQ79MRjP7JPlAG2BUUzD8XvgVSsMfV2jP8F%20ekEHp9Sv14S2/RLtk8iDOTRAOWADkT7ADChAC5jVBqdzOnewkwZDBrxzbIXDPDfFYMZoGqhwBrJw%20Yr6wY9BfTvlU2wy02RR0FiD0AyB0gIUTfPDMQ0d0PapDVrUIG8gCRi+xRsOmE0IMwH40S1xzSmwD%20d1BfHb3INbSDO7hDXLQvSjBnnmrsHaqxnwbAPsvBFkHVUHfvSrxDVr4ENpwDQbiEc6wDItRCE5wn%20ZZcAM8RATzRzDdRCo9YADdgFFdTCFmizQN3WNhCBALyaLAhACTz2OhBADaCpABABAbiAAAjAFpTB%208KQ0pBwtFHGbU0KlffB1MMzyX9vyJlntC/D/srw1KPdsbaCmUdUkMhIgAU0UwQn4xKuZAxi4AA0I%20nj/osXt3cilqVWifxIpPC1iZdnSo90r0Q2GsAzzgpzek7RoMYx8YK22ns4m2M7P2BDxfQwTS8x3Y%20cyYsAT4b5jXuM5HkqMrsqAxfkzeUY1A8etmYhDo8d0IbK32USnyEaAdYAUQ/KZRStD9wtyzoK3hr%20KZtwqUebd0p0TTdYAIWmRAr6xCbG8ZbY9H0/bx3qtKDcQib0dH+/b2tw76iV9YH3l2JFEK5oA25h%20Ezb/gyyswAqkBfkaojP7BBD0LhucCCogZ4aadhkbxcs2gS1kwzUIL7n7xDywAQ3QADOsADxs/7jv%20OkdqWzPyIO315fWo7nUsL6Bf13Jgq6JT+IgYxSpYagQtKnbVoCcVC4A4CMHDxsB5+gQDHGIS1AID%209MMWLIAUuMJlBwWAqLdy3BdKxEVKSIfwbAd0ZANLFQY7pPYIYEPavvYwGhi31XYxnuiT5jafx1ZM%20boKLwigIyKhwH+a1tkK7KHpGHgVAn9Cjy8Q1SDoN/4MbWPoDVO56lEp1czoAfPqTDoBAxMWAyAIi%20mPq+9ut4P3HAsrpO9AOVpOAmwX0i14sc15YZDxUa53d+i94iWG/UAPWgdqeAGzujTHKsMTvcuIRn%20/wM9TEEMKIUA2IUAtFpWu9oitgMqVEIMMP9DeMCxJV7QAjTAiTXi49Npq2FDAzADEvTDZ8VAE8xa%20Jm6Hjtv80tZHMfZ7kK/TkAf8gdgDkh8wMNMqYHltOLhDA8TACihFOIjDFOTkY/vDCtBAjagaIy5A%20jbhktdgsWJX88NQRWHmKfwmPc9QaSog8WVzDCGAAPMi8W16wFH3TnfO7smbRnjsrNsQFN2wB0N9B%20jgBEJhAgOBQs6KSgPRCPIkT44cCBnQ/osF2zeO0fNo3Y/Fn89xFkSJEjSZY0CRIcuH8d/XnD5q1f%20t39usjB58MBmBwAAzLQAsAaAFaAAZlAwGizYgCzqvvn71g0VIm+/OCC0WhXrVSdp8EBs6CD/wL9r%203K6hQ0f2ZFq1a9mO7CdS279+2Qi8/cfOn0Z//fyR9JcX2zhu2jaQuIPmBYc0i1+8sMfhVqYQkO8s%20WuQQohxsbU36y5btbV9/rv6tO3kONV+5TUH223iy71tXJWJga9DEhQAB4SxYsHiiCY1r/lDViFFi%20hLlvHzdvrEijSYNrRYiUWVDGIjcg4VYsYOCvG/RaFvqyYXNNW19DNzuYAdBCQVArPwEoMNOhw5Mx%20YzJQCJaDHbze2gabbvo5YAlL7FFwoMYaAyGNRsQIIYQfGoqgEAfkUAcGbrrpxqIyVihBnGsaKGGB%20KS4SgogYFgCjHySmoGGBLSwSokRxxPkn/xuQssEAJPNMC8kVNjAg4KNs2ADpr5Wu+QYDePwRBIEH%20OmgBSzPus49L+wDoAB+j/AsGgeE0Su+aMi6AII1beBAIwsewKmigRyx0IIKIPtign4swck4sjDgb%20lK2UVuroJZi68QeGmm6y6QH3euIJqKGKEjMpR9Th68MuMJgqq1C1qoorr/KEIFBuzBqL0FZdJWkb%20bfrpR5tt3orrH1nYiIsv9DT6CNeQ/tKIm3H6KeywxNKAsLGCmuUAjUsWWeFCByoQ9NWVPgttJdKG%20LGkjWT8CzwIlAPuVpB6/lWWKGCxwYcQmqKDhhCR4W2GF7xowx4QF3BVpI5euOcHdLRYQYP8KKmq4%20hoHhkJDiBPIaYEaA2P7ZAgN/4rpmPSvNsA++nYD6+Mv89ssgmAlyUEfAfwg0EMFbXrhDIRAchNOU%20Rii08CtrwWHHw26EuEYcAVa4JhwZ8cXOIgaAcKEJ44hwIYaFr5HHInZ2fIsADKZYoIh/UilBgAVO%20qOsfRPxdoRYCZCkbA1zXYakbDMz5h8pA1lAgyzV04mknnvDLhwKUByCTG8DQVBMCyBg5ZiCDDkpo%20IQsf0pMiPzPaqCNss/3c0L1c0+hDfwhxFKdI6+uDb/e47GOGMY5KailOu6kHA3CoGpV3UrvCM8+w%20xirrLM8/P36tvpj8SKZtzIuLQHFQ2zz/2EOHDWwwZBFTjLHEEHthslsqu+xyzY73DLSVui3tJHJe%20a9J6jdw/KRvT2GVmgRX8AQKIJEqwoF0WuEFwxpKKGBgtFf4wh/KaoxFvMKAIuLkGEUqwgiZMoQEx%20aEA4EqYcVFgQFVv4zj/KkLH0/KNj7XlPfIJCH/vgRz/8QQqAWvayAyXIHmhYls1ekIkXDERCIVgC%20zzCkIQ4FDWlC0I0/yHKNGtACAzWoQTiu0RsqgKGCK6DCFAhwjXVYRB7iWMdblCQAZpzgH67wByKY%20UYIufIQNMUgFSE4ggCYgAiTbcFLdTNANdVRpb33rgJdIdh8wzS4YnzATNtDEADlAAAS3/2AEnNIg%20J4TQqXJ5ypNE+KQ5QHkEedkK3aw2UrrTMUEYqWuPAljXgo+9LnZGMZym/vIheORud6LS5VZ+dydU%20ZWdV3AjlMNWisRO6LEmyIIDyzrGRdRBoM0z6C2CKdSwShGB7y0rDs54VLcsAT0M7+hz6uDUa9pmk%20ORlRZzobSErlfeQbdvmHBdxGgC7Eilbn2MY2CMDIbGDjLUoggCvqoZdgOccbtVhBMASAgREc4QgC%20GEEqFnGEEeQCDNzoAbzwVQJbpMcfqXDHWHqQQkm5MigjU4ACrBRDlP0HBuy4xluaiQ1wHOARkVHQ%20YpzQGDg1whQ7q5bPgAaeEcCjBPirBf8GiNDRMqDIAhQ8zg0YYA4aMKMBQuiINizyF2181R/0YIYL%202nGNLdQiBieI5zqgEIMRlUII7LiNjfbyDoD+AxyIkA4MPqElLK1hb/FxT31EdsiXkgkj3vCGXLjB%20DRs07gWM4AEIRCG5OSmEIZjBXJ/GkrhPvpOYrUpHiQQlCHCMwB/xcEMsOsCCnOhksECxwmAvNSal%20qGOaI8BGKrSRy95ppVTgFB5ZzIKW0B5XWP4YwQgyAg5v+AYIUECAIf5QXepW17rVzcIf3OAUwAiG%20MIbJZvec9UNo3UIAduiZHOQ5rr1whpzqM+e3SMLOdd53M+4Myaxa8w0LbGN+7CRQP+z/ujlyvGN+%20K9GGgfrhDW04GBSuWMUy3DACE1x4uUcwwQhWwYVTaLTDq1iFcVOBNY2adIWBG8oLTcYfCqgsHXjp%20S02xgVNGwMIS2uzpg0AQxApdKEOH2ECHwOMPC9CrBnZrQCowsAV/NAAJZq0BDSwgl3CEAwNaHU5X%20MaI8fzCgCUWYxwRXIIVa/IUQ8TgEEQQQAzjM42ENGPNG4qkOvfaDHQiYQU9aIJSVxoeFL1xDmMaU%20AQQkTrEVsUA4HnmHyE4WBPZIw+QwaSdNRiQMmevsNc7hDXLQqk+ymtWoSV1qU58a1ameVTe+kY4O%20cSOeG9jAorhBiFiYAVIPWIOkfjIf/0v5x7aOAAdf/CGlVLzjF2n4rahK5ZBTiaWxxeWGqqldbWtf%20m9RK+MeHukEOdWzqBifIQSDIPQBynzsQ5k53uk8ACiBQcxz+KAw2lcWsxHCgm5YIgB3u5IBDkON8%2025Kvt4YZTbU4B+F2xYbCX5POaT58mv/gAh3o0INxhIMLE++BBb6R8Q0vtxvaGAG3/YEBV5DUpFxy%20j1B4Eh8YnmyGLHtvTTeA00tkgkHKdtBAcibUnlXgZ0EDzzKN/JHveNEiI/XvRzgOv5XwhSPmGpct%20YuCCsdzgGmWzAAbcIVN20IAKQ0OCBhflD3IYCK+yaIDpPnElLAnlY5IS7E8M+9Iy/f8j0R1xLAQc%20zQMeLCEEkzbIJTFrOYhIBB2cbew1nNM5iD8e8pGX/OQhno50kCUvGwAHrVdrBtdaadcr5Ymvd1Jb%20pNx2JR/qBwa6gIhd7jK4Xxku8TBPedvfHve3J903NiAIHGQBA4EQQCDykYEBGL/4GTD+8QdwuP+4%204U/YC2+yuLfNez8IWnfQg3rzpKH2uiq+oiE48gxOklEzB+EaOYcr1I8N972G1CbRRsbpIJh5ZJwL%20PfCHEJbBheVa+ONG7kPMA2jGAcVCpoWA4oUewKVmKKbQ4x8UjhwO4A5uTod4aud6bEKGCMg0BBw6%20xJZA6x++4Yv2r2kExRzuBlg+AtT/ACOPMAAMmkAApKgITkAKVsACzIwNkiAJ3EoIasCOaoENUOsv%203gIcQKEB8AwB1mAG3i6wAqfP4sNvCA0pEAvvXKJzGu0F3gQElkDSKI0D6uRONmkHMqdYyAJQOgK5%20WkUc0qGrsEHWFmUebG0Gck1L+IY+WI4oMCUpBAG3aunJusC3Xs8qYu/ZgAkdWGUNkUsjLGAE1EEQ%20/oAF2qzc8mEA9mEALLH5nqD5ji/mvEgjxmEc1kF76s36yqsg0MASts/ZNIQjIA++BE78zul4tuyd%20GgjhNmfUNMJtfgUbzsHp3st6Hq4bLozbFgUb8q8HzGG5+gjkSO7hdOWrUIg9TkoB/0iPZF5OhlRG%205uLiHRrsC3BKpxRC53gMqHyu+4AOaD5EbnrEZWzxGrpuOA5lBQHq/TinL37EGFZgCpCgFIqgBMjq%20GpIACf6hCGqhFhigbiphBYqADaQEPL5BG8DBFRpgHQih7bCkzwKL1wBnCmXocA6tH5yLq8bisfoO%20TiyL8BaiIS4H8frkDBmPc7oq92rSJv3B8jAPDjevG8ZhtWbg8yLllUaPPvawcE6vdo6RDWRhEJeN%20l0wFLPROVc4icW7SKq/y8V7CIpRhPYwvAwKhA/IhH55ALMUSH84SH/JBdl4sBxwhHYLAJQSDFMVL%20WcgL3+7NEtBLvcqH2LIl/NaHvv/8csuY4x9kJf3sazOKpJkyQhvKTy2MsRtA7h96oOJcwaKU6xlL%20p5b+wRwwgBzi4gBZiPQW0KX8IwdGa6Zc5iXIgQQe4eY4QNJAYMd+CARMYUJ+rCGCbMiCpjBDAqTW%20wR38oQykYx1AKj3AChdL6Z24QQg0SjB6gBvaAQgsYi6KTCH94ePKrkmOkA3CAQb0jM/8TPTeA3C+%20hHDGBLFaAgstYk1Qsgu/cE7CMJPwBNMSj4kWLw2NZxHVog3fEBxmjYlsrQMgRYVCRrZ+LRj6I1P+%20cFG6wRWYkhCZrZcOcSyCaT+PS2D84Q+YABMDYR8eYB+eYB9CdERLNEQpQHZQpi3/R8slqukLrimb%207A0VI2kVuS9PzGecZBEwkUfvLiJgXMKBGOlJ/MQiCKAB3o2KyKMf4kk1Jq9PRJGB2KEU2MEWMKAf%20ykEJ4qEH4iEeCEEURRE61wEDlKAeRiDl4k5kWq5kGhCmZCo97Ioc0MHmcE7SyhFndAY30/EDxyEy%20saGfRicb/gIvrsEWzmM4jIk5GvMl1M+umuQv4mF4SoEb5qEMyGKkhqMMFujhmu4vDtUbQIENLjIj%20nZB1AIfXOmDQCsfuEmvYsmMT+O7RlgBCJGclLc0lJ4IcGqsdxkEm9YImsRJYK+/yZkreNmDkxgEG%20WIsJciLufMIM5uM+iKI/Xuq2/4rsQwgAEVzPKbPCEMEC2mjvUINVXGuSimDgFx5gBmLhUTqAdW6C%20dbREG2XnP7KAHWBACQJjFAsDBMbrFPHtFlKxRlvS+0gt4mIxfWYxMF9leCwCobzhHd6hC94hG4TA%20HNwBCHrDHCyAAbLMAoTAHYSgHywgBVNwG+hCHj5jZFPQaeYBCISAAAjgHQjBFtgBAz5FFpRgFU4h%20CEqBEHqAZ322B9YhFT7ABD4gNOXDhe6DAU+GLd2AENYhG/hJCchBCVrzNet0NoFoA4koQzbEDUrB%20wrahC7DBFfqJANYhCLqohGzBYz/jq14WYiE2YrvAnt6hHuDBFcxBCEohTfZ2b//T5GPDgaqwgQFQ%20wR+2wHAZAB7oyR0YoDfooSIJIAg+Yc+cUPQGS8UOqdAQAAjMoQtA4TN641VtZpLec/AMQgwvrRV2%204AuUwAJYdh6EoAtmtwsmFgg+A3dzV3d3l3d713dzNwWDIAj4xxyyARTCwAQswB1OQVmrkW+kMKV0%20wvSSAhTUYRvMAR6SwxUw4BC29SqazZd6AwjaIQzCYHwJ4HfTV33Xl31xdx3KYKTWYwY6ACeYgF37%20AD/+DD9aTF5zIAsIIQgith0GYRte9BFe4BZis1+bhUa3D08eQg7EYZ/2aR2KM2FhQ0fn6ySqqCP6%20IXEY5hq0Khy+7D4ba4xcwhv/uqBs5cEdPhYOBgEIYLhYBmEQkICGB3gc2qEdGKCxeLgMPBZ9B4pf%20CIALVsEVPuADdmAHjuADmPgCbKAekliKk7hoTcAdSqEUeqABasAE6gHFeoKFVGpNYS4YAkF4hSAb%20zMEV3kEJ3sFqM0EayDFreyyo8hQiKkAQCKEU4OFlQYFuuyCAB0oe5MEVkIAAbsAdgpguFvllX/aP%200dcc0Ndl9zZ2XbYM6KIBsLgMGGAeXnYbXMEV3IFlsbgUqgoUQIHJCIEF3G4jxzM+UGoKjxIpEKAU%20jJduhQCXv4DvMkGyZFUlKSezXHIHwqALhIABsJiQCaAePnmT6YIASvZlnRl9//mpkRnZmhUZm6/5%20mglAb0EhCISgcwnglE3AHBggCED0texjUp6V7qRV+U6Pu7KBARjABPAWAyrAkuzBKbs1APR2EIQA%20ieFKm7OZoAfaoAsaoQ+af4DAHc6VXek3FgCgD1ogf9X55aZVZQiBoV2hC2iYAMKABKpBZqqPm9Ag%20FTlAD1pBsyqAHBoZfaNWj9riLzW4MzAVAxqmDMrgBIpAy/Zv8czEJWb3HehBHr5oHgQDDlwgCYgg%20CcDAqU/AqZsaDJaaB4lgC8iigguzHIqMDk4BG5TgAvRgEUhgEQxAD/TgAMT6rBdhrfWgFj7Agy2u%20SsHjaBOwPpSWTXNAHFoGTv+VYE7RIDbn2MeICCJSQRBgYB4iM9HSQbG0QUc6QggaAAaGBlyC9CXo%20QfUUr7GaSFBkoQyO+ou0IY3HZbMba4TpQR3Y4AbYoe2asJVXqiPpjgpneaa8oVUtIgxg1e+6sJLA%20MHXp0w4yLVfPcB0WtUDClQWjdlxo5ZnSA9ueOya6AQbUobH4wiyONR7UlUBBRrB8TXpRhlqrFzxU%20TxsQ4RAKQhqcQJ8JsVt/Kdo2oLqhW77nO9W+YQTCoR3Wg11vIqJboA8eYLZgGz/2YT+OMgcI4ajd%20RzCsKQRGWpu46d7QAA30gBl+jlZkRQRlOoPHrySuwUjN6MxuQwBKgKfnQSr/o48c6GF2xQIIimUc%20eiAF+CEXUGDGtSAXzuAMbJzGbTwXZlwKomyR+EIJRo51j4AEEsEDRkHJRwEYJsEAJsEIgEEHPEAH%20mNwIJuEyi+UUboCrzhSlWC4bW+ylcgAGxIGZNKLmDjgTYBMDeazn8jRD1DFocpEjLsIWpIMsUO2r%20jmkk4PEjyLQbviAVsI45XKMfWpceziE7qjIltmC1EYCV4Y6FfMIjwQQkrTDvcBtWe5kgaBWYDW+z%20Fh0wHIwl4OL7VONCLQ+UUuJDyEK7PQZknNW7pVWWUa/INMYW5GBBqmK9f4ufv7W49PNCP+dDZuoP%20rIR+rYAJ1sCVrOABBM3Z//Vjdk5zkQRD3khgX+tygc3LpFNas3DULzecFkkiHDo5BotAHDBgAVxB%20qzqii4YnI5SAbr9aLNphhjuBH1CAxnu8x/mBHxZgxvk9F6SgCaSAEya1uKcWM7thAzbhyaN8FKjc%20AzwAGAzAGqJcyikeGIwgFDRsBASjFG6gFLChrouSNJlWZQLkvRTuQO7gFnAssDMwiDhwvY7oQ16i%20wQAKoLbsBgxV2N1ijEjNT/biFT/kAxqAHVxGCfrh00ipzqPzGvyIIpG+r/hsDawAtgEnjMMSkUTS%20tjnrGnLbPePEt+czT1rhA77AGzrLs9xvM4pOY0RijNyCvq0tHah72vwhJf9GTqPsd7v9u7uFQnr5%20cAA0hSNKp7xpIIfSu9dhb0IdwL2nMr7rnvLnu3S44dj3mwmswAqwpANm6yf8hgHFBGWSQB0YFhuq%20ad4cXEbvMhVfgBW/4log7vw0/GB31CQuQh7Gah0MZgUEoAE4W1DMTgm+4I24qlh6AA46wQdyQQua%20XwueHwWmoQCe//mdX9/1nRMEQx68oXXJgRzK4QNsQBQmfhSmXAfS3wOswQAKARjOHxPSn8mxvI9e%20nA5sARX64Yu9BMwBQgGADh2ejBmTIViwHDDE+ev37xw2bOgOPLqUyVKajU5eeAQBopGpECF+RIhQ%20yIGDCuBgjOvWbeLEfzT//137dq3BjX7cLHD7CfSnz2vXgBL1dw2pv3/+/NVTUm7EBxMfEHUrpySr%20ki9ftnLth41mP3DgCDSA8WlNi7Vr1vRRYAYAgLhxO6zBRyFDwmAIrv3z5g0b0mthINx5wSgTiCUc%20Gjd20tgeiEcnf6i0EwZdP6I/3QWemVRbv9Gjm9L0p23pv3U1W7t+DTv2v3TpiNIkC5PbtVgPmDwg%202MfM2rlWAKzpAGAGhbwKB2RRx9Rft6aIKth7bA+ydg7bnaTBo/KkgwA2daNDp1u2+vXs28uW7i/c%20n99rejNx24Jg3ONWHhjMQIFCOXjTjz8TjcONNhuQcAcaL3CwURoeNTYh/wdocKBHKxFY5oAcYbn3%20XjbZQLSUP66sph5R4QAhRRHuXFMGDSvEUIYF17x4GjbklAMWT9eMA0cVueTiQ5FFEqnFNNMc6QMK%20WkiCgiQLcNLONexg8wU5WpJThxrWeDCKDh7oMIoHunhghAFtADOmmGMaMckRJowwzjg9lNFAN4Y8%208FtcLQgEQHFrAABXB/4dtBdD7DwU0UTkHHAHRhqlAUJHH4FgihgkmSSeGhWok85LMc3Umj8WfHMD%20EIMRxSqrRrWaVKym+QNVVCOMYIIcJnSlFVdKoKNlOdik9g046piDATsIrDHDWlasYQagcQHQwrMd%204BVgMBn05Q9gghFV2P9hPCi2hD1pPOYYSI+Y5EAEDmCmmT9ArSOTNtmEw6hY2ri2Dmv/7AtiwDTR%20dtQ/ZI3QDTfj+OZbB9G20EcLcwV6XHLLBRPgAIKo05Q/IywlizGwcCCNE9lxh3J337XLLgQ2FXVe%20UQLPTLN68HEz329MMGGFFWt1YMV+xx26XEIDfjOqwv0s2OCDlEr4IAcVooGGHsyc5K4c4tTUsWkg%20+iMiiUyd6G9sut24QhFDiUOEFDYWzBQ2pCnxz0/jpHDGGQUUIMI0e/MtwhWU7C1CAVpogULiKHCC%20YLfnffHBDovoMEcCeSSQTDKXJ6OLLgbMEskc1gBjROnWhHIEOfH0QMf/OKikMsKefcL1p6BzCUSQ%20QQgFMwFDMFyz7ztgbWDRJS9YYm4aliqGaSObnpTSSuCwww1MpF1fIAMMILEFA0B8D3743ABRChBA%20AQHraFddNcIRHyjRvvs7UPVB5FxF/j45poJDDzxIEPKJDqylWmtQgAF9BijjXIs5CkEAN/rhDXBs%20BlyGQQwPlgACx6CLA5JZ14Yu8wHNFKVO/jhHF0DzEG2sYxuq2QYBINIPgD0EezSsoQ1rqA51/KQf%203UCHNxCmGyZ0oGEdCM5wzCAogswAQHtxjjqI9TFsyOIE9rAEd07WnZStrF3uCsBmfnKeHd5wjGQs%20oxlt6K1+zAdoD/DF/wOE0Yc+yCVaZjBD7hCSrRxsYDTkwEad1sE0B0FoIxX6iIWqpiEOeUg0NAwY%202EbElLGhSDbXEMIWiECFBSChAVMoQQySII5rvC1H5dAS3X7UgxTwowoiqMIV+FaAKshgb5SQQRX2%209qTEQYlK8diGN74Ajq58oBWjyMMcKme5BChTF6OYxSyOaY3SASOahUCFN1bXA24QAHaycxi1AGW7%20Qh0KjwuBwaIgIhEdWYQRsLiFuSrlkReApBGaWgKn3NWhllQvJrABgguKIIBKCGCgBC3oQFcggCTc%204FVw+wdMdlAJO9hhEa3QwyIWIVGJUjSji6jFB0bwDwsYSxtIYMcnZv8gHAIaMIEKkNhxsKUQvvjF%20W4MJ1wvGBZI0XAdljVEXu9zVig/sUV4/WQcNpiCHc1qgBrUowRRSIQskJIEGsnANRGrWnnSo4yj+%20AMcPu/EjX8SiYQ+L2MSsZbGLBWMAjlBHgTwGEVlUoDGWMFkWVQYeLjrAZZyJGTewCliseosdORvi%20A3pm1jrCxY4FOQhz9CgTbChtQSEQ5NMKGTUHZUivWusYVh8pNhNNUjbvwEARanECDLyjCKndBk32%20BRiaJOUf2CCLN7iRSr8VYJa83ds0ZHCFV/pNCxKIUpSKQYh0aElm5ThCG5SpOWVKNw+aM4UBjnkm%20NJUuFDvwBjn+RYf/QVwgdnxCzlxaMK1BRWsgjd1d79Rxzn9sAxvi8AYJnnGLTJDEFKbwyC1CsBGR%20PA8lKmEJ9aQTwm5YgHV04IKQpsGPw6HAB1qg8OEQd2FJ5GIQ4ZhID3pwqx6c4gNhwME92oCJFHsA%20GKFYU5h0ICYdAAPGaerBOAoEjnf8owYAdJizoFXHiaX3WrsbgEz/Ehib+MOmPLhgBjUIGQ5OpjIg%209CE2isKNWizAk7WwCTtqkIQiSGEFW6hFEqhQglYJwS+yycZrZQuEt4XjGt4TwttykpRurEMc7AhC%20nqXzDxhsgAUsMCBdJobo/SxRrU4UzHRo+w5j7NQelNagpSGUV/GQ/6co1wjjNd4xkXMEBtR9PMc5%20yBGYc8iqKfBQjWsmAhbayk1utD0HRLDh2nUAjJGxgYkgHPGHHChgDTtzVgdaShfG6i4v7/XLgRIU%20SKcR8kGwAEF2bgECP+hBDeGJgIcCy5SwRVK0ZVvPO95xjoh0Qcf/Yk1smeJs2+I2BYWTgb13+7dY%20XuGWw9VllDhxCnYs96/l2MFzkyldzGEOE20wQDLmgAkPSBxNqPMuNrrRAy6kwgR72scDCCWcQIVT%202YgSEDviO19xiIMEpsjvfvn7ghBg2xT0HDA+U7EBGPy1G7+qxz/GQYcUTCMXKODH0HNR4QtXGOlN%20itIKBvGNA/XABP8mqNMXwqAHVZBCB3nIgw5OZwBgvHjFEneTAbgwjqTwzx9IcEMAU2qFY6+XWhN7%20qVqP7C14hysTTX7aTqPMAZ+6y1122IGVOb2AE3QDoSNwh27i3IQThJIBK5DCFioJI1dblWs0wcAK%20VkAEC7wNDCsoQelvQISBYmAp7BAHIToGk0A7gtBBnpbt5ygX5TDaEYJwdFNwbR0O3KHSF7p0Y1a2%20IXfxFWboKAo2CNBHAmAjMH38jI6wIQRzIEUIsgnLRLQBfltPxEDe10ZYdN2PbQCs1934dbAJtTNh%20VOsBf6IjyYu2EHo4W7I3jjaEQAA1yEMpmfACdyAKeqASXKQ14Ab/WuNGNuqxDlclG7qGZLK1FLXl%20VfNWb/jGgbvlSnxTBcRlXCiAXMpFDkVBKwY3XQkHXXmADAYQOtllBBS3AxIkGKwjJ91ERwmkXrjT%20XgnxXihHX9hwAPgFC3cQAjCXCf+lPDQ3YNFjYNwgHb8iL4OAN4oDYRdGYRZWJFpAdFGyYdcwEXQA%20Yh/TDXVAAtbwJVyXBxJHCgYwCi/mJkYgJjU2Dk2xdhgQBGkBd9ACF0ImF3anFw00U0mWFHvXZBhk%20aVHWQSbBIXYQQoHBaSuQeAuwAvKSFAxABAtgZzDCDCugZuXWGmXDGrIAekiQeEVxA0LQAC7QBEnQ%20D0hwAk1QCU0h/w98tjXT0Q2BRgi0h3uJ9ou6dzGNBh+05QY0MDLFFxnGh2ndNh7l0WnocQ3ZIBPz%20dQ6iMSzbIAvYQC9JgS818Q2w8SGR1Boq9BDZ4Fo1EUNvBhu+Bmw5YBfFlh9WgGxzQXJjwGw5sFWy%20hiAKwiCWNW0cAAvmkhEgcICtwEXeNo6fJW4l8oDrEUOp8Vrb4C8FUoHwRlvylkob2Fv59oH9ZlyS%20AHACd4IE51zQxYLKNAe6MAkGwAsrKXEzaASoA2v/gINs0E0zcF5y8SxyUSg/GCA5cHKMknIrZwoY%208XIdQRJokAY1Z09Y4y6pIAjpIIXd8AXoEB+dcAa5kDdnUAVDd/8GmnAGrxCWedN0urQC6DMRp9AD%203fAxshB2asiGXmcE1mAAiQAMmABjbvImZ5d23bIB/9AAtvB2zhI00yIXc2QXMKUtfYFkYYEUTMYD%20frdBgTcZP+UAQbUBkqgbDCAAtRADJWACtqAbFtAEU0AUlLcAulEG/WIbsbFC//IPGNAESCAEC1AE%20QlAlRJEEC2ABa1YGzFACPtd67AA80rGLMDB7LFBAt/eL0yKMzdFW3gAfBkIOFTCQGmRFzLhF4rF8%203OBX0rcN6IgNriATtGV+82UON8J9/0AA4kiOrSGB/yCBYiMW89ka7hhsAuEbPtMffyJHdXRH+JcD%20+kd+k0UCleX/NAA4IZIBT2lwgAl4EgsYWA3okKPlHqIhGqdRIO82Wxh4Wxu5Nx2ZbwWwbwUwDSIo%20CVBSggMnHZtwcJeTkpizCwYACZiQXTHJXYEBEaxjAqmQk+hVO8ZxO+ylO0Coj0JYX0WYX0jIX43A%20CJUVYCNREtBTYNMjhSOgJf7AAFrZStNQBZQwDYUjS4BwS3tzBiIIhlUSGHWyDVZpA5GQYjK6TLtQ%20o54wCpiQB7qgAzMYkwZgYx3qDf+wBYQJLcZGR+cFKIIYU46Zd4doGHznZIsYGVP2Qe8SQuBwZY/X%20DWywALVwDVPQABZwAlRQBtdgDlNABQ3AGf6wZprnGuBHn//w/w4CgJtUMAVbgBQ3QABSIABc6g9E%200AQYAA82YU7X8KaABgO9yALO6ay5VzQZ8xy+R1vscAgj4xh3wEHcmWldBI1+hRQEECvrgBTuIK79%20IgSuqhTh2H01oUKjoULrR58FYi/+Ioql0g3q8I5A4xvo1TOGtlh3hI8Z0Gz8CG3/KG0SIgYctBGZ%20EKURmpByAKs0Y6GSdK/lCH5XtY73qRrvhhQZmYEiOkt/M7J/I1yG428iGXAD9w8Fd3AIl3BzkAe7%20MAs3KoMUdwTfZ5N0MAIXkJPfFIiJ+ZNHanJKapRImYQ09wL/xUGZYnMqIQf6JB3k8AX+MAidYHS3%20FKZ+I0t7I/9LVVAFaVpcTjcI19Cm8TAiXxCnckpd0jUMwwAMswCDKdY5fipxfnkN3RBB/8AAiBBA%20zVIth5lAh7ZA2YJ3SRaZFdR3APh36XKZg/cuhqepnIYElFgJ2UADzIAE4hADK1AgNRADligAqycr%20snFV2xBXqcUMLgCs1+ACmtsUSSAFtfBo4hAEhHANBRJ7yklozfmLwJhW2cJWvecP3/B72HCtzGh8%20yNcyLwOezSeFc3YNSMAGN/Ii17AO7pCu6zC9N/AQS+Fmr8ahr2EvoqF+6phr4Qsb0gEOwPYbhuWf%20xwYXAdtYBGqgE4GgTfN/UMOwaeCwHACxCiivNVOx5NYe4Kf/Gk0RkTXhoReokfTGW15Qsr5lolcw%20XMUFJSSYXC5KDic5o9NFs7MwCjc7kzU4LP9ABzybCqxQXjpZjz25XgKLpPBFlPT1D/d1C0eYtE6g%20X0z5pDaXElEIE0pQDz/ylSZrwX+zgXuDBSgwthqGPoCBam4ADuhwAaGTkl2nC5DgCYmgp8nQpxOX%20JnXSD8UyqEDwCYVZLXJXpIn5UkV2uGEBqXcgqYoIZZXqQY8oVIDBaTewcSHlD7YgD/6wenOGDUhQ%20A4jcFKf6sbDhWhBBgbIgBJ5UBlMQA0LgDp8YH7QZAxYgC03BZ7jrUMrKrM8KvMIoreogGB8ja79w%20HWhQacrb/4x6tWnmAb0/gQECgFCXVxQ1oMsxwADtUAu6XATmoB5hsX6ugAENYMyz+i8NgAE0wRr9%20oL6vwb7vqDM98yzFgV70u2y8o4/714/+FyENCoD/C7FYI7EM2JAW6x6oQRrk67HxFrL0hm8karKs%20ZDgY/G8rW5Itq4IfnAAyqwvONAwwJsYVd8Ip3LMIUF5+gpiDAnIyHJRDCRFFeQBHqV9J2whLGwIQ%204pT3BLWgsk/+QA7ccLV+0zeUcKYicG8y4Ddj6sS6FANAEA7e4g3yoA5hcAHHhEwJt6eQYKMpBsYT%20hyYG0DrFu7cWgAF8aJiKJRfoNRd2kQ9356iISxiKO5mMW/+ZgtcukbsBXsVpSWEO/dBqZdAT6oqq%20vycOQkCu5Mpmr8EaEUgTBFAEoZkK13ACAvCbJXAC2ge6ujwFJtAPJycO7sAUu7ucvotop3wxCcFW%20qmwqF4gNiNAYwxfL3OqM3+lX1wAElIxQP8EADeAON/CKNSAFGJAEMdAA5Qmf/wK+tTAjAsAG/2AO%20qYEEn4gI/5ANE+sa0uEN7pvN2wxyhnZ/u5MDbrB/CKqg+9ugaUDHjADAARAellEB+Emx7WzA4HaR%20H/rAvyXBXlAA4q3EsiRciONvxRAPJJkeShDQM1o5ecALQg0MJLyjcuMPH0Z1LPDQ5xUXMOyDRLsQ%20NLwUfST/DtiAwxvNXzwspU1JpZwChVgae35EB/q8W1cgA62U4S+NoligplB8DengDfADA+ogCHH6%200yyYB5Fwl5FwOXlQOn9KQl11xlAQQAMUdwYEvIK4F1ctx0sWqYn4ZI7BiJaqx2HtDWMdHbIV1w/x%20DdjtfQEjGKbhfTPkGjDhD3xmnLqLGunQizlgys4ZnWuVBW7gew+BvMsoy8fXrc/IaZ7GDewABgtA%20BDHgAtcQDj9hC3NeAzTQBNcgC01AA+HArq+BDdLrDuvQBEXQBZEnveswBQuwAASgQrKJ3acRE44A%20Bb1xWEBTHD5pfwKbR/v4bP6ov+X8AvbwDNbGCJcACwfI/22c8m0Vqt0PCW7zDLIhCsG7JcF7Q94j%20+koioKK7RAgCB70e894fLN9CvQv2nbPkAH76bQIsYCjeFHKBQqTidKQU0DvHui9FyXIux9EezUE1%20V6WdIgfqoHNYLlkVjsSv9NIyAAhKXFwYnJYh/kNKoFUbUAFYrHBAzQuz4AlyajkxXjqA+kA9BA4h%201QD8TS2Bu15xIS2LqVbbkhSAAREUJC5brVNd/bhf3Qo7gAMRxGncgDQdc3JPXiJv1TUGYiBnVBpl%20bJHj9g1PThrWc3Inp7v/og5ulwMSA7xivhzD6AgbsMrSoQ3ecAg7teZszjLKVx7PGxRIEANSIAVo%20XRRCsP/aUtAADWCJK8AMeS0d8KoNV1EO5XAUSbGJnzfIDOAPNPCZMfBd++JmjERD0oENjrAnOyNy%20n04X3oxHRqNDYMF/S5OglsWgqb4R9sAD0fACogAB3DZ4NDCOCjwajlTrGApYDZyRPqSBBaAIMiDe%20XjDvhGNLr7TPUMKi660luoHsL4s5dFo5x8QLBjAJOUqDn2GTIIYN/D070aIAthPDPyggNIxOQ8ik%20aOCkpsDgTJkGTnjuEU491iMOQHfEFQxLvDXBIlDvYIg+XnUr4qAO/O7vmcOCcyC3lFPwpXPwP4GH%20gxoOtkDtcOcwg7uoC7QXcaxkiDipAMFBIAcnAu2BePT/I8IPBw7sfNgAzps4bteu/fPn7x82cexc%20mev2T+RIkdg2YsOWUeVKlixJahTZrxvMmf/EdbzoL6Q2N4RYMAEQ1IxQogCGAphBgUKGYMEGZFGH%20TaZGlL8GXsV6NQ2ehhEiOAjw71pFdOgqXvO3IoY/AQsslPFnwZ+4BSsssikhhQ1JjCr7ZQznbm6t%20BcxiYEArTgARDAtcjVz372/LjCHdGMrBBKgVKw9aKACgwIxoMx06PBkzZmmwHOq49UM5jpu2DSTu%20oHnBIc3uFy9ApAFhjwejTKLUNFQYQU45vs2dN/eXLVs/jBgfR36e/bk3byL9XcQGboM3bj1SiBAh%20Q5EM/y8yCrwvIKKAjCsFpmmRgEKSJBQpCKUjh5yx/ilnhzYSQBDBPBJUcI5IDEhEBx2MMMIDI0I5%20AiWTeuhhhBFYeeCBDoZqoYWg1ggqtNIeQG0Mplhjhx1/qDuHI3FIMOWSTEIIwRRTGnnhlhA4sKcR%20MUJYIjmvHJBDHRi46aYbbbQZh4sq0Cvgivrgm08GQNyLD4X89FsBiGu485AddcCpYI45FkxmQQYT%208MQATJJBkEI9DViHm4y8AUesG1h4AIASOROtKBPX6AAfpZoKBoGLuDPpuzAguOMFHngALg17BCpI%20IBAQUsiBr+zYIaKJxsqJqmvYacCVb2CSrKSNTtIuV//JvpErppF0sgmnf6L0Zxt1HGHBGCuOYtao%20opJ61ClHBEmppqrSyCpbgbbq6isIxBqrrLH8EUKAGGgQYAU2mEECiVpoqMscF1wgooS/euXLJIv8%204aaBJorAZoEitkBiiwXMpYKGv6qjzjmd/LksRCZQfICzFoYazYzSTnNxtRzcmBSbccahzTbcdPut%20t91AgCUTRsQA4TivvKJBCV11jW666vy57uabuRMJrY3AQYc88+QDpIAvvSiAaRnkoy8+LfSjmhNC%202EFHCW5mG+GCAxOMk0E350jGgGd08SBtC0PZAR1ytPGHjg5NAFHEjJ21AsXRADCtRaYmyAEGdq6B%20+x3/jv4h4ZlbMrmjR1Oc2BGN3RoxhcfkCmmoAnDYgbKb2Oi4Mr0r3JMPPi/hwwI/FPTLBQh/uJvp%20GnHUsSGSOeZM4E0E2zBgFDzz0JNCAyqalWh/2Bl0xENHTBTjExt10alI0aL0u34uvSOTTZcAAatQ%20D3rEK4Yc2gEHdNRhJ56KYJoxRgxcaXgkDedPiTL7ff1Hm22y2SIb/GWaSYwG95eZaAMGPfhJs5y1%20wKMkJRiPekpU/DGCjMDmENrSFrdM9ZUAfGdrZdlaP+AhiyQIIAkEkEUJ2ECAWgigCNvQRgliUAsG%20/GMbw/KOX/wRDotcgw0LIAINmuCCKSygDDU4RAmY/6GwfixsMveLWGYU0IIQlUgopOlbaijQlNaE%20TDYlA8HJdpMGle1GODy4BQi65YAfpKIcTYQjHH3mHelQRyM8+wd25pgdoGEEPEQz2nlEAIj2eCFp%20TIvPe7aEH/7wxz8AEhA3CGQgBuUBTwrKnZvMpoO0VehCGULJPzjkIVYwQURBmYGJThQU0XSARanJ%20wBZzkA4ZUWcb2KAljizxAh75CEhCIpIpjhQCJTlADU16UpRQwg3QwYcSYIJaew5ZACxIYEySKNOZ%20vJER2YGjdrebUx7AOQkDEON3wTOCAbZxjb8ACiO2IJShWmCFDigANEFRZWnW4KgtNkVS/6CUH7Gn%20Kf9O/eZTBBnIqBLylVOlChzgoEhF+NIRDJijOSbBqIb2yJd+6K8B/uMLsG4yOIzs5FgsYMEaFOi8%20BUKrnwOYVrWoUxUMZotbC/EWuLghLkkOKxuVygjcupENAnRjVrCp4HP05Q6LhEMIJVjBDbDBhiJc%20g6lIOAEo8JedjPwDBoZ4ABNYUKKKWWFR9tRYFikQvS6ehBvj8EdtQnCL3HSqjLvZFCPUyEaGyoFW%20G31JHXfWM8A6p49CC49EmHme+XhhPYZsWiKjVgAx6Yc/xbhagCQ6AkomKA9yktPt5gCBNqBNbRfa%20gTdCKTcPgfWUhkpR3owCmixGjzUwEAc7/2E4GPj/gwSPWFzjfAS5EEjOl5abWebAAYNxdGMERRtH%20M+ezpUQ27XTvSZ01WQeEcNADHXSQWzeU8E3c6UIXCCInJM4ZPAPw8C/goMd3SsEC5c2Tec67J6Mc%20lYEX/TOgaMGe9njAPe8ZhFQLaYgdwhARcLxKot7ph/sIkJFtaEQbJ6Gf/e43LJVICQMgvXBlZtKR%20wekkJNuAgU9ysNKiNFApq4lgSmY1o2tYpaZY0eCSwsIqEF4DhiJ5DA79oY0Jq6QMaNmCSCzQsJX8%20hVXX2AJavrMFC1zDAkK4BjbO4Z0L25EyUfpHxDQzzyrmE4sciyUX3bAObShBZONYR21uU1fevGCM%20/2nYlG9kNjM5wK2wgdXZHQn7Z5L08TtDUywdBElI9iDyPVhapAQa2R9CwOALX7AAECzwgQskQk4J%20CFuDxmYAUUjIkx4IBSq+UI9tbIMLpzAB3UKk0gUCwAoAQFErX9kxwBEiCPvbBgHeAQMY4OgS9ujl%20j4I0pDQYCUlKwpwc3OCGUozABF3oQg8GUYVpzIcSSauuNCNbzWvmggEW+AI9uECHUihhvLbD3TDO%20mwBrGGAWYaOQNYSnhHBouguggMc1BlWoQ936noayQiv3Ga0MIMAd5rh0Nrah6YFuqlMHDRUHFFqq%20r7RiE2EIwzuo7Q4gmMPkBCBAEMqAgaKagwDmUP/C/t4xc5q/Qzo3x3nOpQMP6RAAHvBodSpcsQ2X%20+zwb8DCBPIKwdCFkYwTw+EY23JAFFuTg1gxsMSpf3BSYqqMLRIeHObLRhQveWCtc2aADIKANIACh%20HSB3+zY+0o1twMMVQ3fFTGRhjmBbgAGCEcJHxI7zemBbCIevcpS3gGUhlOHIjg82ygmwDgLo/OYm%20N4c8QJSZNVCxYmc9c4tWEwg3NL0LSmjHILYRht8GCWVktPNu7rCpTMTMVMmhgc0l3uptrOOGc8yZ%20Ha2TR+1cgwBNtUiVr2Emi2AZI+pwEgCjBApCcKETrzgkIQnp2EKKQEvZtWx/esCOD3yg7ZvuNDj/%20E2DJOc1BF6OYRe88wMm17aAL2Yh1rJfuWuaVSAG31hva4pjoAZylcwcC2AZZOD0l+C0dsQR7AA4n%20CJLaAwHKQa4lcYAKEARCKAUTIIAueIdBgINOEAEs0JLqeo/2WA/7EAHVQYEhyIVBcLkPIAAh0DQT%20uAf1E6fcmZP4m4Q3QScIUIJuODdQeAexYwD6MoOC0xj8ep79ghQEOLwP6ILKO7wA257uuYrvQQjx%20aQhV2IR6AIJBGARQgIgwKIN2GAcgkAVEgINB4BAyHAQ6mEM6HIR2aAcg4AIuMIERcAVQMIEPMAE9%205AIEdIM/OIIPuDRl+IAdOAIogAITSMQdaMQd/7iAHdiEUwCvMgAFUAACBoi1lLonFmupWEqzpyg9%20c2AAnqPCCkCogoDFV3zFHOMgcxCCQRCC8isFIWAAIcA8lEM6E3AFDCAHV+iCL5C8ZHw5k2MAcyi5%20GayH8hPED0CFeViFVeiBUnAFJQhEE5AOITiFUjiFcSwFW1g6UDC5bMgCKMgMEeGMhAMN0Qi9jgkG%20wCk9ouqCQQACIWC9ahCjOuuNJVgCDngBlxmfhshAbJA86Wg1PbqZ4Bss4ssOi5gHGkiCKLOABiAC%20IsCyHtIIb4iKkjIBeKA+RQOEk4wsQ/ICp/EC77uCFtQuR/oPchiBASEHAxEtS/o0BJkDTNCB+P+j%20v05SgwxxrighB2+IGLsxlHsCQBVxJb/hIsGZkd3CBiUghwN4BAeEQBCQwN4YFWcjppmJNieZB+dy%20s9TjNu8jndJhGkJSmgI4g/yQAC2QhNYJB3fzhmv4BnayAfXLpPaDBAMghfU7LSNYBBPoBh6qHhj4%20hAdYwnlaloNzFn3ipyhkJ6KBo2v4AExpBIsLDmxBKFE5MFNxAFXYgX64hh4YB3TYgA8QhOUbhNf4%20ADBIAjAAgyqwzdrEzdq0zdusglQYAW94ByUYgW4gxI5yhCBQggvQAwFYhEWAgEUogRLQg+d8Tggw%20AAiAgADgBNUMB3GxAGtTwqzDOqR4sS16Chj/QIvi7Iaj/IVYhE9ZLIibKpVvGYud2oCtkbJhIZZu%206AclQIRyOMpt6qoC5c8o+QZewYa38ZBYK85rOIVVGJlsiBJl4peRUc14ILZ0kIgo0QZH+IN2/Dyz%20msx5VA2m+Bg2I4c3Ewe5oqvX642AXAIJzIQXOMjMIYcm+quNgkhBk8jnsAgMEAAqKAK/iwEiEAAB%202IKK4IZZAUmTcC6fAwUYMMnts1KVbEmXhElJu6weEIcAsYh/uMmv8Szc8cn424X56yS2qZ8KxQZC%204D+MSRRcmy2+GcAXaQ0ZEYkawYYvwEqt3I2u9A0Q+JEL/IoM3JzOWSY6IEEveKb4KB3rAjdq/xKT%20/KjLQfAHqcCGfemHvkwQ3fHLBCAGCMGEPLAQC0kndEDNa5AIjGDM+kIUjTEKVcK1RoGx6QEo1RIL%20f8DCAfuNLTSwhRof09zUkQGUiBgHDukBIaCBXMiFqUGBZ41WFJiaXJjW1amEbugIJSiHxJQbE6gH%20HDABEpgFYPAAc/XJNvCEUWDXUdABYACGfDuBhyGaa2gH55oYUlSgGTBFrssCkOmHGXNP+SRYWKRF%20sBALsjCLLAulnZkJJWC5W6Kf+bmVl1BW1TwLf1gHNmCD4vSQrnqJWTnQcqCgjYDTnyiropDHtBpA%20j1EH8MCGt+qH2ggjOoO9ghRIgqzRG42ACv8wCUKjo0AbPodsjmuYh5WTgiJggBOQAgsQohvwh3m4%20CICKinUwh1jrBidRtCg4SRFgmpWELEISnfuIyf6Ihy9Vgn0ZU578rEv6VJ9MBAMwrTXdgXPQCfbs%20h68KkRFZSltrSl3zGwoAHHZQTxrREKwkDt2IwBj9yiNJkuRiEidR1JgFHfkYnXBjGkVoS7is1BfM%20hXaYEanYoWsgB09tEB4EmzwwAGgo1QpB1UUYgX7gIXUgUHb4hBl4TM7YmwUCDf2KlunpB29AhxlB%20zc28g87kAYMCzYzbOIYqzU0wmnEQXnAIAwxNgSkgAmfVAmfVXmeNVu9dnSGohBEQBxjg1tj/HaUv%202IEDGIZRMNdRmD9MIKd2hV/4pRAHmNcoQYcGawdrYwJh0JuiKE+XQs8sUE9/+Aaj9Ib3LFiCPVj7%20/CCz4AYN6Sj/VAltYANZ0IaJxaj8iZ+RkBu5wVi0yAY2yDvnoiCQHQkmM7GZyFQQbcc1uDUTYZZ5%207Ne2ig2SkTMxSpkYFUh7KEgbRQ4cBdqgFT48ItqQYiq6mFeougYMaAI2+I47Asl0gAcgQEx/cBIu%20SAHsw9LtW0mvtVzKsqb9QIFiGIcvFRC0GNNQxZ080IFRTVP6Q636eRhs0Fu7EY3PWKW9qS08lcqN%20gA1s2IADWAJGgIUHDFTGrcDKCcsIwBxE/2Uu5/IGcmCmaRCd9wAELFnJ05GPV5BL1hmEfljRTbWI%20cjBdngzVz7I3n/Qk4XlZtKBdV/0EWI3MowCNofDd1cDV/+JVTBEwEFgC0ASVYPXC0tyBYpVe4UWH%20HlA0ZyUCH5BmLZDmaqbmadaCqZGAbI0HQgiQIdOII7gAA4BXTqI/Cak3czXnwqwDaxuBDcjPcfgH%20c/AFYdDXZ1GKF0lPdnLhgY3PfyaIg90xha0IiVCtn6UxbtiCBpDa+9wabriJiOaOc6Bdb6hQsUjW%20cYiHMkCEekCJbkaLKPGQkSbp/pyJy2jHDiDRo5gtlhU9FH3Zk5CNmSWBmlXcm82EnA3iG/9NyCLG%20CMHy0SR+CbQQAmYoAnHIi39AAipogHUQjI9Uh3RoYS2m0k44yU0GW5VkD3CrD/zg0v5IYzCVpLXl%20QfYTG0zQhV2AELWxkELYAXHosEzNY77lY1ujU8CFpagssX/gU2w4gDtwwJUR1FERJkM1JmRSVLMA%20nWnQkqQZJPnoZA1IpDOoVC2AwXYgZaSyiE71S3HyyzeJv2TgpFc2gB7oIdrVCHGoZTPoA8ic06HI%20L1vtp4abFF21FGDelN/wlGIWzYUiTVVQBgExVuH1hkFIgTPQAgGogmpm7ubW5tWRgFrohnhghz7t%20BngQCRswAH2bv3M2NQhh16Ac7XbuQ3j/fqti8YWrU6ABPk9pUc9/SGB/cE+ABmj6zCmL2Cl0GAtA%20OeiRQAtuAIIGcAcmfTLZEQeOwAbuSAfYAbNryGhCyOBBjpGpFWmStvDihI1DRNlbM4OEOxG02hjU%20uGHX2OCYhSsXrasellEg3lmEJOIi7tGh1Y4Jg7IVmIJvAANmcAUXiAGmWgcqDkkTgxgY4OKTzGqw%201VwsyFItsaavLoYeqMq09RMl2IQ2cOM54QW0noU2cN22Ti3UBKC8jdNZHQrZ8uM7jUr1vLB3CF50%20wMrFUeQ06EoKLNRHjmTN4RxlUuwr0ZJBio+s1tyniY8mF2XSxQa4ca9U9uzyCsxhoGPh/xGciqAH%20dZiJV83dhOsDEq1T3+Uvf3qNomkidrqUZxAwAgNWIjmwYd0BS1bNo0QJPpgGH5iGKriS93CPlWya%200tGEqZka8fUHje7TjiIHE+gdHeCFz9KFZDCvONEBewMGtGbrc23n4lywZPWHIKjne26prXMKA74I%20uWjPBW7gfxZo1IzgrXkoXXVwIMDQceAEOFTWZFVN2WiHMEUJ1XLnESgHWoIBb7iAC5DGshAEQdiA%20MPiCMFBERcxLZ97DjMCGQ9SMDkCRzzARDjfRfuqi4H2zODMZm43RnB7IGP2BG70HqYgjldijGEdi%207RgcdGkCKcAABpChGYLra5AHqK6W4v+kakYFBK5dSUJShECXbPQYnc51pHFgBzBl487CHQbhBV3A%20BAgx105y6+6Y4kz1hjGvazp1yl2LJcChJaHhU3L4LTjfysGuQMctJiZZrsS+ZMaWAQ1gGq8tJEXo%202gLQhM697Gt4o5TY7FQWrXDihbglhglhr3YYnGtYE5Gw3RFp7VhNkSny8A7Ih9/1L9u+hgATg+TV%20bd7WuNH8CjBc+HFACXLwBz64kiqghCroEhlwfde39QLwAe2y7Cnwh3g4hQTP1AKBEB2Ael3IA/M6%20r2TYBaCUt7Sh4zrow3fegJG5hneo51EkTxfbOph6bxcuhwWmbwdGuyWxz3DRb25Id33/GUNOMH84%20cIEUaADzZ39OQAJOwIAbKAW40RBvKGlsINwvkIMDsAGAqCPQWAWCdSoITIghSA86XLj484fNzZ8c%20TB6sAdBCI4CMZhSYMdOhw5MxYyhkCJbDTURs2MZx07aBRAg0LzikAZHmBc8XS5bYe5HpxQ8HRo1W%206PZvKdOmTp8y9ZctW79//qy6+rcOatRzrtg0YMPAQjZXrrYxxWbVmzq1/rrBBQeDTopXgLzgzetF%20Q15AWK5ckSABhaTCxXqII0fu2jV/5Ta1SSB5MmXJefIkg2TAiIfORkLt8OaP2zWm3gw9eNDhI2sA%20VjwqADCy5JiUKtWx81d1m0twB5Yw/4JlyV6aNE56ggDRyFSIED8iRCiEFBw7bnC9eePWo0oBSl5E%203C2QV1FeEeYFCx6Sa9A1ci4ZX8NmY87kPPTpU56jywAkYJ6NGGEAIfFw84864CylziczmNFCC1ZY%200UcLZgBAYYWyrYFPbcEMEAwCpWGnVmNhQHBHJjzwkBwHK67oxIr2gPAIdEU5oMoOi8HkUlV8TFOA%20DFdwV4CPQ8ogpJBnDIaCYJV0M0483riEnQkGYFKZlcQYMEokCejQmQcAyjFCRBuAA5M26sRihYVr%20AnChmzNQgFIwHGYBQ2PfvEWON79w4KKffQL6pxNp4GEUdA4E8M81pKGDDmnvYHNNO//auZCLpZae%20kcSlWlyaSwy5SIFEY29FxAUd/XxBTqM2LGIAMMCMMooR/nXpQZddAljIESaYMAJc/6SjjiEsqNam%20gxZWCJJIJJlEwZw5qFOaS2bOdIdNOBXXUyY/cSAUUUc5EEEFanFV7lNSUWUVVlqZqxY22mjzTT/9%20+PONBVX9g01E/7DlFlzdyEWXXRoAwlcUekVh3l9XaCFYYZIclg45SjDmDzk7RGZlZcnkwcssm3H2%20ZShHgDNaaUthg5pqFLYQm2sdAQDSbCalNEEO7OS2m0vYHHDHJZkMl9NxPCXXiBjNPXeoA6lsAIN1%203WCnXRUiXCGDF3eJgJciW3tRgAj/BWii5GDqsedepIz1M99kydy3sS6zzPIfgAZYQKA/By6Vzier%20SfiaAi5rZEVsa3SAT5xzeggilFZdQ+IdL6AIAlBptMhico88F26Nm3hzTY7YePMPjzLIQEmPRRJp%20ZAFV+DCY60w6CSXo5HxgwJYJ4FfZHFgOM8cct3JmTQVKdOPPBhuYiY4vFLJ5YfNwxunsAHWW9k3x%20ev4iaKDbu0houJlDoOiijS6KzTmMwUFEp5dW4SmnnaIghRScfFOaUv7QQcc1qX5RRyuqbAZWr3qV%20B0ahAx2MooBf0tURRuArpZxDHX+4yGo0spE2reFvIZlZBjaUA3o0xiXcGEc/qnWt/5zspCc/CcpQ%20aESjCpDDXDKMylSqchV/ZGUr5eqHS5pylX/gC3Q27JdV/iUXLtTlLghTBF/ygoUfNUwLDztMYhbT%20mMdkTGOUwQwxIGANL3lgZOBYVIFQprIKNkgBVoDZR2TDrNo4C1o5+wdvsLGBAzziFpngAHGMgxwQ%20mKIRSIOOdBxQAeo8LWp04M4VrpY1rW2Nid8pABbQgwKytec9jPmHDRKQDMv4zkpzwMTH/POlWRng%20FITgBjbwZqBPmEFCD4rQhNxEIcIZTk6J49fiRlSiE/EgJyyqHB9j9Bwa2ahzMMHOjoQEGNSpDpoF%20mMYZJIECsTGJG6yMFDvI8QUqSf8mlAm4TDh5YYA20AcYnAGQNeRwFWyAo0zcGMEXYrGG5uGzTdBz%20Fp3sVK887Yl7AvWT98IVAUQpilHoICM3BpECflwzF1qYKKeoiQIt+MAHWkBBLgiDghqgrXj+6MEp%20RnCECxigEAGaxAExgQlbHTCmtTKCNQqxA3SogxA9KN46BAEFCjbIQRuBjRky8gDaOMtm0crXS2Ji%20wpsUJ4VC4Za3aHSUcc1whuiy4bp0yBVvnGNe9GJKP76RL6aqhYhvictcksgXg+2FPHwRwRMZ5jDD%209EBiFGvMxbKoxTyMMxlYsgaAOiNGcWjzhylLTQVb1qY1ZkRmb6xZDtIxxzry7BH/jNhjcUAwtBcU%207WhLSNqhUiGIdCSyc4ssQCPv4lovRBIvCrMkJncGn7TlDne6rU8yMKGZL50yQOYgxDgMhCBgIYBB%20LeiD3wC3EQsV7nDByMCHeOmWxpUIcikCCotctKLLZe6gquCc57gBpR1N40dXmKbq2jsN1lkTm93Q%205nvY4Y3a3S53mMFdHjBxTt+p85TWMMYP4wmTEaAjFhW0ZZueFz3pOcJO/7CexfakvQsDqqCHCh9j%20uEE+bbajUhw9A0Zz4QOJTmMaEs2oRAkjiQWkQFH/EClJlWADAxDWAQZgKSb6K9OYeommDjjCBtKh%2007e8ww2GyMHKFOAgDCZrgx3Y/0ezUrISaWFjhCWkyQl10hOfAKWq4DJkDLNqrq2qC4fsKtfO9rUU%20680LrWtpSxHZisSBxVUDW9MzXvwCxbtCDDGKqRgWtejJyvACAioN2cjQIY5xjGNUi21ya9gYm5lt%206DaXdckd8wi0Pn62aMxxDiGnU53rqLYKpMuaEmEbybmeBz1k44bZ4COf3M3BPqL0ravWicpTnIIb%20/hBEyf4Bg73Jcg20dF6bOhLdDNimuiFSlD8cB0wUDtO7MJJRBJC5g0jBBB3g0BccpgEIILVXBoAg%203ZCm4QNrvq4bFfvHCLGhBHAaepQfS2fIwCQmf4j7wF9gwj0bbHAGAwB6tpmeP//x1A3sDXSgGj5o%20ohZ1jQ/ThR9noCYWFGYeTUyDEmd4hQhesdFrWhMJpMlXP7yxAXIcwRMGHEUiXKWDy+ThgDjP+Uxr%20ugMl+APSPPVpamIm1MFFmXDMilMGlIplapHAWlDNFk+2tYRutXDM9yCXmbmC5hvmsF09JGtTdqYv%20ftF5rQBrK57hGoU93wULrNUHoCM2sYr11dCWWZsBQgEg/4xsA4+OdEvOyLLYQAhmkqVNBihgM8vq%20ho4765ke+VicUAPyaKRWmhzkImyodW4QVbgCeK42nld/RwSaoG0u6LDNs10Dt2vbrWQ+mWtzJsLX%20HjAAA4J9t2IrKCRCtULLnFv/oQ6sIR/S3eW0/YHdx0WOu8TkAHgPKl5lLEab4MCOEsrNWmkKSd0F%20AISRkHTNJcm7MfQeBzbCYABeTCa34ZxDGwwA4CBbgwa+8sf2D5zgBefTmzxYP1XP9VhYxGmP93Tb%20QXHY+KBD0PVAJ/DDe02DCBQJ6ryX6cjA1Lwbyi0AEhAeD3mDuMVcJGDCKMDNLugCOemCLrANZuSc%20Z1jDkCnBS4xD8ZyDkjGWkzkI0rHGsiCVlYGQRGQZCT0VTniZCoVZ1jnACylF13ldDaVZ2LFZD6lF%20PzyhVexM6PiDWhkRDNzZXWjAGDIRnzmRF1xB60jAFAmaFTkGZOjdJ32SZCyC/995iRixA6SVhm4Y%20XoU4lqW5EeM9C25EXh11WnAMh04MTSYkRyANUqkd0qmBXkONnnnoRSTJ1SRVkqyth3lpUml00hwC%20ljjF3xwMwzn9BzDMArAJG7FdRfD1gYQom4Qki5vgkpx0iLT1UrX9EopgW3e9iDF1m1HYCLh52PZ1%20X3oByTTghQwoAiA8o7qhjg8oiXyNCgSKgzcYwDDUHmAF1vzhgu3MAYDMVB040Ai4x4EpgT0FoINJ%20F8PdCUDxCYZd2MQhlMU1CgSmQIr5COn445BQgqqtV+tYkxSggMrFh7htwCkEQQliQjIYwCzswhyW%204ijF4CnpigP9iz+kwwZAQf/R8eCTERUQVpnTMRXUSR22SJXVYd23gAtWQSFUfF1Xid27jNWMLYU/%20aMPOLIUXspXAFMxbMZEk8YVfUI0PDMEa4pVe4R3GGNoneaNkGIAq/F0YEdng7aE/9OEfQlbMkOSG%202AzOFOLkaVYmoEFUYZ7RhMBoQcdBOYAcqANqvYU3LIboUQIWEIzpudqeZY3qsd4gvN5tqU046Rpl%202B4mtEEbAMjfGcAgnEJxHcgrJldQvcYf2hLy5RLi6OJ1OY52SY49AON3CaPm2MgYad/21cMgmBsl%20yIAFeoHVOKO6rZuQtI7YSACTOF9EjANiuB/8jdPaeKN9TML7zQFhzZQc9Mr/wzUVOtoTwjHPwe0T%20hEkYhWEPPQqUPTaghz3gONCFCCjjuoHnuYlAQFqgCDTMNcVPCsSDRIgbOADbBUBCJESCxxDDLtRe%20/OEOx+CfriSnP4jJRCzZA3zE0VmalJVE48XREIqQEXIZVCUhT6yQmDUhUpRZTDrFTKqZV3GFu1jh%20WblLvjCGN4zbP8BEY4ADOrRDCqjAW40hGWqAChDla24iG1YRocGh3uXHLCSCKXmATYnDNTgQafQD%20OBgeSNTSa9QipjWeSsAAO8TeP4SVHeGRUBSTHxGNcoxa0hRSJH7exIRDBBYAGUaBBkQBILzd270V%20XaGHBGASlHROxQxmONGe/yddRiTAzWLOTVvwEN74w7F1wPBlUGwcHgZFly5tJrVZmy/qRLYFI7fR%20SCsowwN1oTrgBhzwQ+l8TauNx9WQX22KTQmIlNCBHr6t4OxNxi7wByYE2CnJgRHJE9TEgnMenIUo%203JzAIxZGBMRZp6DYY8Up1KJk3Lqxm5GsWncIibulxzVxQoliRzxdjCdEwhwsAQRoDEVyiQ7gqa5A%20yahAjSOgxmo0yMFF2VfKCbQ8HTdsGQicENVN1dVJqKHAZFREXtdhKBVuqIfi64eKyDWIqFqMUGOg%20gzdYQArsQRnuhZ61qCRhARZ4Ad0pZaAlBsWEQz/kHY5SRiIkUMgUwgdES/+Q0hqRMtagQplXdsBR%200Uww2EyTXoM2/AOkuATl7RGo/ZFabt5BqQFcOk2eKEE/9ABrmumZesHBlKkiqMBe+KVgXFLrxQeU%20OF/sxSnbzCkM8lpwGcEidAM2yAs9gIO8HZtytYCyfQTgcMQt8hN1xd4I6kY/PJ9nSh+giCbmWJ8D%20QCo8wEU/UKo6xIOl/gj5dY1eaI3VFEAHogcR4EnQ3SDUCML7AVYe6EJ9UMYuwM1LgZE1mCNcBNw4%20IBg7zurmJtwADkCEFYgFvIUSBNSuBkpBgU9Caafn9IALmJs0ds34yaaxTtN5WpMkcMI8RJqehMgO%20QOsciAK1ts3eTYYuAFf/rhwB0zZGt35rB/xN4LjMD3JQubpB7E3LOMhE1HWZVIEZC7nkVZVZRIgV%20vphZva6ZhT5FiI7oCOnkCKboimoAXrZowr4VXqIHjQ4aXzmlxU6Gf4RMj37AjwZp7IHsykSZa8BG%20IJ4sk4rDvpwDp+GRHiWilYIWIAnS5m0pIuXJYrRDJ4hH0I5pwRQMmsrWJqbHevCrJulGnI6T/GFG%20rkHCLLzKYhpAW+AJmTifnwLq8z4nhWAmSkSb4ogIL5qIolJOaG7bMRmFHXwAXEQEW6gDN1jq6Mkd%20IITHJVpx4LqOkvADjd1gOYAOvnGMFr3NLCRQkBlBmHTDCBiYdSRYwcmq/wDqEjySysOVLgKebqEY%201D3+qnZIoBWT37HOpjMFyXkOBu6WKOhgxzXE3BxEggGYQtRaax4EFzBoa6SsFTg4wh8US4MQ34WA%20hLJgGj9BC7pOi1ORgLpO3UpSFU/8gFWJC9ehb05KIdid7ywzhfr6a6Rpw4leQwqQAfzOb8IWrQaI%20gAbcr2HEQ43qr19ZbK3cYRikA5COwKIM6Va6TFfKjMnCkUqkw49exQO/7CP8jCWg5cyKFmkZBc6O%20g38qRj+sFpmOKZnK89utaMetHicCppvCRznEqa7lltR6jDot5iKAcVWoAxeyAwLck4M0l8s8yOAU%20qmYKMeN0ZvSB5vRVn//m2IEy/Ms/gENcioOlAoYGfLDfwtZdyEBtJuUQEAGu9kA8rLE3JG4kLG5U%20btEw8M7/0lQduCpMdEOChQTnuuPhwOOM5eoBmm73FMoCOkB25uNudkIFzmbshidrrZd5np8kSEEK%20JDJ2wAA2xBwmPDIe4If8TcZMIa83qG1EjIA3eGuTNZuxjCsHedAGhFARbllKotCXRSgTgi8u01C6%202LKGCrYukyhpdKGjqOgYyu8wEy1e4kXDPGwxjEPELorF3Cj/JgCPdoZNTbPHYgM6FGkadWUbKemz%20qCzLvgMPdVo5wwgFi9ojuiWXbvA1LBJdjeE8ByXCegHDmjCbojDowJ7/P+fW8NaH7/DCMATY3Izb%20DbO1P8QDLAFqa7AJLm1ILqJrwM5L7CVqMC0qEsfIjBBjGDyQ3cZlOJC01XDqSfeFFdcmepQAqcTD%204WIHvhHvFvEC7oERmPwLmfQA5tYTHLejPjXewlGPf8ojHvOqHh9KAKitNpEPTEjg7HYNePAtIZun%2060jCEHBCD7RDe2AHgcTcKGjGLhRmN27R8RrBJS8v/wnCtwof8VlIKBvoSZTrUkEJpG3DTDzCurKy%20uwJ2uIxLRBi5kUOh+Ro2LiP2v/LfQjX2MM8v0cav/dZdGzalM+MoNH82KHSOaJ9GyGpENiueSHBz%2044VlA+sMXZIAOQPN/zlfqSloHmlJB8526WIsEhbA6Dy36DzD79GesP4Qd9PKXjeSYjJwjH1gArb6%20mtWSSzxZxUKvwQw4dKBCtJt0gPLxE/MtjvNd9HZltNtS32geVEfvH/+pg9PwwegBwiNpqtaEhxpK%20gmCUAL0YLlxgQ+L6phZxTDLsRyIA15e00wNdblA3Zz4VtfRQz4zRS8tlD4NnmIMzoPhoJwROtRWT%20TuqNXxazltcYMlcXwzyQhiLjTImnoLV+Y1ozOoCMjEvkZrdysoD+zUYIToOJ8hvlOJZp2UyEwAvc%20AhJy71+75AtVKC4ruWA3RZO3cy+jQzh0Avw+9ou+aGTHLzLXHSFIjP8bVixnn7GXbGxojwCktVIf%20VloCpzYDPymkKAE64NHPVOkiNuIFq7Mhpfo8rLES1GUVYMEblOFu0zNRArpwA2bAvsM13Euhz5/G%20+M5FnpIBoENZGU/JXIMOV3ofCCqz/TC0zQkCbDdbq20/fPcvElMSD6MD2IF5122qw4AFcEIl9hlK%20pzR8u45gdDFc6FQ5vLU2Vkl9NK5l9HoCnBOPAog5OhCAW4c3xGqBv8mB22oWVO8/2fE8QvugSDui%20RPjqQtq1Q2NebPtJo5shE8ayjvuIA0HMoSokjJMu5M4Yp3Uqaqs2MMYaa/K3xowaPZdX3vuBooTN%20uME6aEM6Mqgqq6T/tlDVkBuSvrgZ+h48wi+Fwq8sOnwBEBCsMA+zMC+sF1B2YQxBCpwCDHzABwAB%20EFjAB1xAInC2ZHh2j25CEAgBr5RCKXQBKGCza2izmQtiMAQCIQSBO2QDQJhzpYSeEhKPLmXiYC9N%20GicvIIIA0UhMiCU/ImR04ECOI0Kl4Jn48MXCoGlY3iiKokHDSpYsVWjA4kWTBJsShuSCA6RLFwLr%20gFggZ2NOAqN5ihY1miBPgqJ5dBjxINWIASDbhFgABcqcuSAsOsxo0cLKGgUKAJgBsHbtmg74KFAI%20FiwDAiHZunzIRkCIkDAQ7rzgwQPEEnscEDtBzEHiI4wOIjho9evD/4iuQTDHS1HlCqCZXgB5ET1a%20kSJABXxIkGRzSAlt8OCdKlXvwzpQBiI1PZpsaZ5kvufMmgVM6lQjNEyEBBVmUDsTYWLNSLtW7fTq%201WfEzSB3QBZCWRmEzFvBnmLzHM6nT4Nn42MI5oAIAfLhg5BBdDpNA7RfkRcRIvbbrwARrqhCBC0k%20QEG1JlKgA4h5evqCkFNs8MQaA5JJRhfdjvJtKV2MM8KIQo74Iht3ujJBniwMeeABBcxAa60WqIPR%20jA46eGKMMSjIYIIc3Lirp+ay+eKgF25hCIQ0IIJoCcNeyOSFHzaqsgJysskyy224/MfLL8EM8x9/%20suxnzDFd+WcdMf/D7Mcffyzw0h8zCfgHlS+vuQYcdNDph5txrhkhjA+A6IQMRbCQSYOYGPUiJkVv%20kkSSIYohxB36gAjqgwsSWcrTTz0dxYNRRw1lhyAIMMGEUkohAJQWH+ggRjNakHGNtNDCUccxMgjm%20R8zuysaVet754gCEFLJnyYcimsiUEELAKIJCNqpAkI/MMYGAD9oxKdGXWHrlJUVU8AILLGq6Kaed%20ugCFAHcYsECJe5Riao56Pb0XKlJFNAAdbeJ1BZRshCAErLHIMktGtFpQyy24ep3LLgLaJYBgvwDL%20ZDCJ0lgMPcSUfSQjKiXbRFUTvAKFkEEaqEIGQPoLbTTSANEAkNT/FLSJn27gqWeVUj4wgZ4wDMDE%200zx0MYo335Bqw4DijKvj5K0G6aGeL2S9jrqtpwNghu22C6a7IOEJb9t3Kvg4PbXVXm8jjQKQDwig%20PyCg6k4AhHnmAEcTgZIDE1xNkgaFcMfVLnpA5Yg2nDZKl6R7420pHaIyjkQT3QECZVCygCJWtRom%20ay0YbdSVV7mCCcSRuwioZ5BBCMCBhGpueYGDhpiEKJMnOYhyyio3ugcbLbXcJhs2kR+zzDP9SXPN%205P/pxswvzSnihBJS8ecfAvzJ0xtwsPnnTwuyCeOLcFI4NKZEH32UpUSxQFA1SVPoAYZyRriGm3/I%202aENUAG4FFGR/8oDpmJHoEYwjnFgQx2wkhUAarUWKwDgVjDqwAN2FbYcwEAc1zDTO7ChBHIcJCEL%20aQizXiARikBLWpHhiDpgMA9/jEAJX+AGF04CLh2uZH3ouglOcjGIcaBDCd7IkweJki+nfKopc9gX%20vxahhH584x8bAIeb2PEJWY2lLGeBUdco+Ja4zCUYCPAgOfrUj35c4wOAacRg0gAChiRmMY15TGTs%20oAxydOMb34AhDHrAhyu8zAsa8EIUZqaB0pjmZj+UQAmw0Y1uEKIH2hiBNxyBGw5tKHK8mUMiDAAM%20fhlBDiMwpRUVOAJwxIKCXNNa17IzRrF55xr/GIEktQGOX5SHbf9rM4/bIuCef1xjHNzYQJ/GgZ+8%206c0/AZLZNK5QAPlJSgqciEc7rkEOcHiDG4Q4giecxpvHeeo3ngKRiIwADBKRQxse/MYIzuGIFuHo%20LBAcHa7McKMc7ahHwciBOuahDXJ4o5j9MFIIane7JTXpBU+yh+9IRrIKdONN0LOo8rJhJu01T00W%20ld6XviELZkyhFi6IngX8wY1rfC9842jHVb6ADvSRQSZvWNSiGKUIm0JqCEOQFKXiIQ5ykCNP/PNf%20AAOoAwIWcAcHNKUCGehAtdBKLWXBFQBMx6u5bFAc2vvHOfqBDXQc6xIvsISyHNIkiZiiESzMCLUc%20UAFwsIMb/uj/BjbIwQ06VIF9OvTrudLFmiCuFBvYyNOckniUJR5tiU80jgHUocZ/gAMcY4LBJ2jF%20xTXEaEZbe5hWB1DGWnrDG+G7hj/+cgeN8WAJS/KYYhYCAscEcyOqwEE5JOmPdKSDrnBwmSJtVkjh%20FrI0NkuNBJpgkxJQ1B/jiIckseGNoh1Ncp+aAzEMsIviGMEacsgtOsBRzEuy8pXlXcvXesSdLLjh%20tLmN7i96Gd9fsgcykQnAMFXKp38kE2/82dt++jZIFKxGQZLgRDGvEV1v2BIVToOG45KmlDxwiClT%20sdwRSttef4BDEPPkrOjUQrp8ZhV1/6xlYf/Ujw2QAARosB3u/5q0uyX0Tkoks1L4LmpRMmWUec7z%20qJnMZA4MxCAV2/BHnf6xDe+Bbx2vC0cu0XGN9DGqrzi96bk0oC5JFWMeQlXCYfv3P6SCaoCkMiA3%20ntqDqLrogRFsy+huhMEdbedH7GDHnP4BwsIeixHJOqFaJ1KRi2TEhXKAYV3vSlQ6nOQNjILJongo%20ExEEFoiD4EZ0DRuObCbWKUgBVROfSJVFSI+K6riiP7JoBrEk7CxTBYCtOpAPWYq2H95Ax5zW2MY7%20vJEwaZjjxxBjx8jgURlK6MYI+gEDGLBjHHDozCuKa0hpK7K4jVRXCdzU3HFAVxCajFxvjHKvYRgg%20Edsl5S27Yf/FHqD5C7HYbNeqA+/zxgV13YHBab8hyYH+wpfyvR19NQIB/HKDT/3gb96i0B/RBEjh%20Z+BMzlAwBCmkQIErJa2ZjmCA7EL4U9VNgFJDRKLCds+umPRwPWkU4lnpU0cZ0KqJ/1FYBWpjxXdw%20sUJz5yQo1bg91SJHjnW8vI36GHpU9Ee+uyGLBaxgBTRA8jD1ZGugDKKW4J2pTBzt6EXBTxE4mR+l%20xsGOoYL5qGP+VJlL1dRAdUOB4mggm2f1RatyNqsR4yqez1HYDRxgCbfIxFmXBehGPCtab60WOGAw%20jhmK9Ro47Kv7Ht1DffwwJ5YmrWHzVA5ONxFfTDkKyB9779P/mtqyWkRYWfrwRetgdQ0Qi5gZ/3H5%20YaI2YxtbQscWA9uQjay2YcAtRXcbj3HwoQqAUIEibDbtQiqyZoCQ3012RtF49ODY2ADHdJkIuXDP%20IRKzaIMojeNdSVJWvOiIRT5dmX6v0Vu99+4Hc/ftb1+6rb4OuK/+rqHfgwMiCgkfDf9hZiZEoACu%20QH4izsAQTMFM6QgCwACGQWl04ymYyMJEhESuqL26wRuy4A8+h1YAwApo5NVWznS0w5/U4cSwoaBW%20rMVerCFijHcgCngioAJwDOiQZ8c0Ck06Knn4SHumB6VcQQAWQHosoBuWzBuaS6X6gU+k7FDeAAtU%20IAql0NHO/wULIoV+xgEGxm5/wszszm6pDOgajq3tvEGqIEhGJqiC4iyDtsrO8K6w+uEA7qCEGCKt%20msUUKqLwCE0N5GADYADRGG/RviUKrax9ZMKH1CWIuKG0jChP+oHTnKjzJqzTlIoqjGDUPMgfSA/V%20EGANVq2LZKQ6EkaMUKcuRqu0xuQaUmu1lsTX6CjYZOuOHCCPjE16gi+Q9APawGX5pG0lAGHyWOOR%203s8feqAH8Mcbuo0XQIWTluJeMIEYym1UuKsObkmVwosbusH8bsW8XimWxsjeainf/GHf+q3fgEmY%208oTg0GG/lCkK+E/hsAAAEckLzsBvfGAIBkwSJi4BSevYdv9AD2bhAX9D+xZrcqQxnUTOsN4kA+XJ%20RV6ts6yjdPaJR3rln7hBG1BM8VYMoV5soZrEoWIQeK7EBpMHB3tsB5OHisCEAHimBJiBAFRyycLn%20T06LT2YKUVQACnGKEHMSUnDip4qhB9JBCb6srpRgE8TMC40C9NKOrtJMHGDADGlFAdLwqurOVzbo%203rQhz8Jq7x7B7wDPDjNhrdpKD+FKruhKkrwhrwSxECPvyrDguASL6krrHPxB0x4RX5KCiZ4C9Prl%20D79BE0+NEExPs7wIBGUkjCCGjBCAG5bQG9TIg/7iGVartTwG2EIGI0hGFXbA2PIHhuIhHPhABF7h%20+MrFrxT/yRcRJOKUi7l6YNvuSrqM5lPGqTfmABMwgTgOspQkCbzWbQTMD/3kbThjKWLA8R9Qqhvi%20rxx7if7gZo24QR0Nrh37T+EOqf8MqQqv4AxYY1IOTKUGCh1M6QOMIRGUMQHKqdM+jQJHBMMU0q44%20jAM74NUUgCyqQ8RY7nS26gRrLQXHYR1q7uZgTHdgECJ+wMZmMHzeBNckywZNcuhQ8gY36h/goQEE%20QABioAi0R3pkUttqaU+uoRPiQAqhcAqp8Fy0TBK4TOyI6rS6UCmNAu2Y6oDGcBzEoQzh7gwlqJUs%20SM70c4PuzEzyDq9IYAno8M+aZYUGTSNeKB0AkS0ZjVGy/+5Ej2sIKm0RR84ROS0Z9rI3dGNfLHER%208G/DKosTPdEw62l0aORhZg32ZK97VlEMCKMVX5ExYnHYZrHYJKkfgm/4AATaaOolvOANHAX5bEYf%20rBQnWkMMm+u5MrDbcoM2CXIOuDQ3t6u70I38sNH85nM4iZP9xMYN7i163qQcvIHf5I9tnDMyBC4d%209Y86Ey473TFWzeUMrkAE8NGn9lGlrI8cRuA5jGEXeKEp0rMZPYVy0Kk9kZDkGHKeOgDltmYEJ7Kf%20YE7mLnIjBdQjde6heE4kf44k2eRBdfB5SDIVMEAWeMxLZHK/VMof9MtQohAlTDQm3qDREsXrgNJG%20x+60yv8BKWHUKDCBgIzAVLBhQYuxG5RAqkTszehuInvlR9QhSJOssLzhWMASrVBIhQivhQ4vLRPt%20hk6CJ7fuplRgDw4RGOeSsDAvwTjNXgDoXj6OPQ0AfALTit6EMDvg9Dbri1xNMUFLtGIPFU9rFTcG%20BC5T92SL9xyAMw2rmIYqkvhgEA+JJXbqJaLgFUQAZXGCH/ozHgih+rAB+8DNS5tRYM9t/K4RON3N%20vD5VlsDx6OxqOVN1vt7GvvAr/9aRv+IRO1niOlfCXJZPfqx0CDghOuckuhLsmygs3MbWcUJEndwz%20E7sBHBxBPj/MCu5zVm7FR0vsBGMuBa+VBGyuBXNOxmj/7HeqJEHBNVyFblxXVxvc5Ev6oZ1WCnzE%20B1DcNcpSQB80oNF4Ugo1YA9Q4lwQxKcmZUXJ4ctctOxgNGApkGANtgdGgBzMMIKsoCotyGHbUGK3%20obCwQQ79zoTsMIUCza0Mz9D+ELryyvGmkGRLtIfk8kpLa2Xzshk9jYmcYg788hJHABuoCB2WNYtm%20ILNAUUZSTjHb9BQVVBUBQzAIwzBwD7bsdLYgY2mVoZ2cdi3/IWp3qG+rVjUpjx8wzWurjx4M4DwV%20a7E8JNx0c1SsoQ6QTlPVdhvTrxtB9TjFkRzn9mPOkVWhTh3ZsROwQAT41lz6DzsJ1ZCeTxIYxHD9%20gbTy/+SbdMHjOu9YD7I9s7TkGpKeGCZaJXIfeIRa2etzUyxAOzLnGmrnUFeivnV1wURcOYpc3ViN%203mRdESx3+wFeh3deg3ePu/N49bVF/aFfk1IpA3a7oPdNDjZhc3QqGTZXtBdiuVfvLPbvMBbQ2Mp8%20XQgtsfFj2fd3dTIm9iAnsUBrK09lj+gfbAA9GRdmrcuJ8kBmadYfbPYaLitn0dTVqoNNM+D1FHj2%20iJYH4uhoQeZON3MHmpYbnnaDdVImXKJqWeJqfzFRt7Zrv3YEYk5sPY+cKMxseXNy01Yb2daG+2mW%207g1ulfNUd5hu6+/+8uvWDu4VntmIsdNcXiJSfKpw6/8qrIxIHBQXVFyZwmKZKiA3w9xkciv3cxgG%20c+EMRtxiWn2kWkGX5kRXQF2QQGcsJG/MjcMEjomOJOdEG0R6etaVJjdMd/UhCuuVj0f0CVWANXyK%20cNtB7JR3HJlXKf2SqQpWkaWXenPUzbA3P3/UDc2ke/fsERgBFs4qjjK2fJd0Wl4ofT15GlZ6CqGw%20RE1WE+IyGPHxFC4tw7S0Xn6jijlvfxehf/83gDGLgBWGLdjiRlpPlkwxaBc4tRy4MA6jToWtglXh%20golJmTWYg29KXF7CpmIiClTA+biaHy6PhPvXhCOBL7+NhS+1DiQJnMvP3YazZ7Hjhh1hVHP4VJlz%20bVb/1QFaVX9eVYjlGbF7t5COOIlnQnCZmOLq6okbUYqti5yONSrQKSGZ1eQUuosjcsT2qQRzgB5O%20KyNVjARCIFvRGCS71UramKMxKgfjmLrlJDJrt6Xa1dbymAxU4A1eoaqBV3ifMMusNF9Z9LAI+V8T%20wHmpIpGJkfoYWaGp6gO3EZLZUJLxzKi98mKRlHwHT5M7tpPxCmQ1wXenULyjcJTPBVFherDm94iw%20oWW7NF+KohIfa5Zr+bIyi9V41s14mTF/eWhrT5hdK/eKWWRoa2mR+a+XOWrpVQPEZcYdTZ4Fd2vH%20ERscO5tnM7eZoptH6ZtlWJzVj5zrLQvOOTDTGb5G/7ttAM5u8S+1sUCee7d3seCIa+qetSwFDJef%20HXMHPGGFjXWbDdI4CtqwDppyLXehM1cid6VHIBYFi4miR/d2LjpKYDC6g6cGqdujIxTovEp212i7%20b/dDo6wTRrlexdt338Bk46BeUfQnJ4Xi0iF5ya6QvRC+p0K+i3F6qzcxb0UEr9KfiHpi9+wOwrcO%20mxoPNZla0NfA15eqFTy8x9t3zXurvQ4fLQ3Tjqh+w+1+GetezBqt/wGA3yTVPlFh0CJzOyCuUQdo%2035SBA8P28hrYJlgW+xqDAfvnZPzKaRzrrlwFrlYDtCBRe4qxyYHHrxkbTBiFmcLjyHwOWtgDXjiG%20w/9Zs7mRa7yx/cKRonT4yRWjh037h1Nbq/uPXr1AnuXZpuAHwn2KQcYUiq8Bt5WoihPgnHr7CLK4%20WWPlWYV7quA8jCsSuf1Buc0Y5xgKute4WroBu+Wkda8bXLdhHWAXTOy4XffkHzohpeMg0lt6lCFd%200l96cI9XKPd1kP31X51XGj2dvqVS7vIbqyL5nyYZG/7bkgMvSsiSwONqrmQdwR9dChn9FYReA7Qa%204ntKwgsrlVdZcjytimFWw/uFw8Ghe25ZZ1vtrdtCjHoltNxUaGlPteAoxV8xM1ucaWEcMpmZXsVl%20vMedEF/hFSBex9c9Hp4Lm8P2x8s8yD3FmzM139//bbP5vQTNGd/iVp0FHj1K253xtrnwo8pZW9Kv%20diUknSXUpaf0+XBv2xM4n3FT+CgoMM0ll80VGoIYWgRHniLn/HPrPOUHVM8zms/jys85GtDleHUH%20vaQBZbJ0F7zfAOhL9tEbbQ/eQKvf4I+HIAXi4dJr+kVhFOTiG5mjF9R/Gg15VKg16NSNGiCwHXjE%20CJYle2lAOHnBEASIRmJCLPkRoWIhB3LUweDWrRs2cty4TIsTR4WKPW9exXmT8qQKLFh8SJAwhCaK%20QdywecN2rWc/G3MSCE0WNKhQoXkSzJmjw4NTI0YWjcD27R86b/78sUMww0yLFlbWKBgLQIEZAGAB%20/3TAR4FCsLcIrv3ztvOfv2thINx5wYMHiCX2OAh2IpiDw0cUHURwoEqZtmvjuJHb6Y8PFhUa3qh4%20peEly84qouwBpKWmaX7nyGGLR6jbVHoGIh1NkFQp0mRH5wAz8tRanY7dwIGLPAJdrDUAziYHsFy5%208hlt2wYb4AiG3G/d/E3+Rbg7B+/gOaTB40DxYgj/enJDh+7fODqdNL2KYvKNlzdR5nN+o0EDltI0%20SSIJEj1wkxVdPR3hiS6z2TYbbkI15QFURhRyBDbY3OVPN944YsgDHZhBVgvMnSWiGWZ00METY7SV%20QTA50HONPxhyM04/G5AQAhoviAdCGgwxtARgL/9k8sIP5SHpQAXk/OPkk1BGKeWT/mSTTT922eXK%20P+tM6eWXTvbkDTjYuMfNjOxZ0Ik+KpD0Bkp7xFkSSXFcNtMQQ0gyRDE9pEMOOT35U84mbTRoaIOY%20PDVhKDtkmFUPPXSjxIcgntiCAlYAgJyIaq04xhgvTpCDOuz4g+U7/WCzwQFLMJIJBwilsVBDD5kS%20QggUVVReBeCww5FH2IQ0jSYkxfkGnSS1eSwW+tRE0xC54DQZTzP+ZBRtSx26VB55TDihEQaA8w+W%206ojrTzyfdPAVWGv0oUBzzGm6FgUZuBVMXHPVNWNed2TSV0JpFPadYPaA8EhFSqrSKGTrkZOqZZj/%208bdZfSyZtNkrzd45BD/ardYasAZgMlttR3E7m1NPGSEHcMJFxmEsy8XsXInMzVAvvdNlYV0/2Wnn%20zS8Dhyf0eOXpGkB6Z7Lnz3vxzacCS29g8cp8mUVt0kzPDpECNwaWs9M14iiYB4S5BUUyUt5CZeHX%20WQXnyB+VvguWcmaZlaKn9b41qlwYRqZNjnfwKF4aQDKUyZAcFHlkeUlWUCaUWWEJZpRVXpmlP1t2%20OfnmYV4zZpk2ysXeNZ2Q0Sade5y0x5wkafLGnQJqHY+fSlwTTj/k7FDoobwnmjaj5ABHBx0jTPpA%20pWi9C0CmyJmlIoug6g0DO9do8887GGKj4yWZ/6CBkEJBOgTRrblGcNEhG2zUUY0iHRvn6XS+Yqwm%20mshEk0105ESZT0DNVlSDSVmKhChkgB5QpR/0AEc3rgGDT3TlK2Ehi3JIlKI1sMVe9+JGP9DhsH5c%204xv84otfAFMYwgjmMIlZTCuUcQ7IjIOD5KiM6552sadVzCSv2AyATpOOnbBmfbDhBQCvNbbc7KY3%20v+kIOoYzjuIcZ2YyoxkAoCOd6VSHG/+wwIaU8LOgeXFo5FEMktBzDa6xRxs9gA/9cmhDLOSHPlHT%20zH9g14QU9OQaGPJGghZENgcNZTY60AGFgGEhDGmIQx46XlnkRrMT3Q16OMuBG/gWrHH4I0c76v8R%20wIL0giHZQ3FKYlwFyuGkyPXjlJyjkpWw5A8tcSmVmxMTmcwkOnB8IwVsotObUBKH1NFJEyrImp6K%20MQ52/ClQudsd7ww1wEXtACvZoUMPikepECXHLMzZ1Lue96lQ5QAG4mjlP86Rx4HcIhOWIJyswgcC%20UzSCfBVZzJJ69auPCGuGxlKJm1a3rIw9K1qew8Y5/GEga0FoDnm4lv+C0hTeQCVcVLkkOO7SQHVB%20UCzKe5dy1jCvF70oLv6gS4au0Q9++YsHABOYCQuGmAgkbGFcmww5vsEHTfiyJDmEmklSNzV/4okf%20/fBhPFyDoZCNTChGScbZUPYtOYzANS3jiHH/1gDFqtYsOi8agM5mlJ1ubOeLYO0O0czjgADcxYzo%20WBoXmgZHqOVnPxXbA9bwJImtGSikwfLHBTxRRP/xThdpq9AR9tcRcLwNRMuZG3PqhiJutigYolIH%20Jf0GOMGpM0iHW0LijBTKXT0OllOqHCtdqTnQekmWoBuHXMCBDtKRYXWo6+Xq4Oc6jekpBfEQxzFn%20lMxlHsp3DmUUVh41TXJU8yyXWh7zyvLIbrolB+kQh1zGmb2BcC+dCZnVC8QXkYnEszwZgcE4OoI7%20YaEOtsiaX/00NoSbjIMuegwHSfv3R4UiRSlMSVlUuoFKdXjDLuz4BIouOhZsOkdFF3zLveQi/1K7%204EUvIvxLYAZTGBQuZjGN4QnXvKEaGbJualCLq/xesUM8neEjHiMqbGRz1JKRTTe8mZBvWDYcqcYC%20RVK06hSj8xbqWOcfPduO0MIqHvIgzAFkLCN73AMfH8gvdSyR2nxQEuU3lLiO4jiT1/R4DQXpoo//%20ow0g9bu2kfpjBB36UIg4RaLm2I2bGYieJLPSt3Gso7Ka/BEnPVkkHihJSUwybWhXebnMCfq0nptl%20ZGr5jzXBr5eyhXTr5IqnPO1pHLqtnYHIQSjfGgq4zoSmP6RJzeOFyCzJ1dQ1OwU9b06PpNdL1aoe%20cV11ald8tsJVPC/CK/ESNVgiIVak08vPOP9oQh/3wxNAd0Kta5CDvmLOVoOyJaFvGQAd/fjGJb3h%20wQauYV1h4RSmUs3RC75owSHdX0n1ctKUlpBgBjsyY3bQwsiQA9v9qCkvj6WSELukp6b5acd+CDKR%20lQypSDnbEZsKnA2AowdN/MITc0zxHfNYq9Y584a+OmQwFm0xZi3jetI6jrU6WTQhHrENNSNX9tpV%20UF/rxw742kcH1bxbDhUs27IDDkGomc1WoJsjuekiGEn2H33jxp1JEDhNEg6ziAMl4xTDpKxY3eqg%20FW2hX3loKaH2H6H7B2tJpw8ypFfStI0D7G7LDd0Cire683SDmmkE4VodUiMwrqmRq7zlOs//U9GD%20kXVmRF0Ok4DW6PzerdsZEV3rSg3h/VWqzCtb9Mb2WPUzjU1wwuy7zPdaCLVvtPObc6nEUOzm2soa%20ZkBgsmTUDOWu4oLzVaa7hLAvEn73CQ2WQsYoQ7ob/pMMTbIS+blpJXFaHYk1v7Eeptgj6IgNAB3U%20V6V4S8ZOVSITuzHVKMIrZlS0l1YJ0bZ+mOpnHQfrWF2K5PQouT1M84FNocySqe3hFSHGwlyHUMc7%204nWPX+ZXD3IUgUQhgmVIXJVmxyMijORmjYU3kSRZNFJJ/fAFOmJZehYkfMZZU7ckStB1kENorYQ5%20XAeCT/J1i2YVaUUJ+mB5xdJLKqAPkyZM/1rTA8b0dtoRd3J3FKBWd8+0IaM2TcaDPF5xFmGxao7l%20TaRiKv+wDdigBOhgXa8SK7OSCQ7hTvBkPruiEfPgGuSgBCU3LJDmgpJmbMgWcNHCDVDYQhZwStBm%20G6K3LThnbRykbRvAbeeSLuDWLhr1fR2lYCAlUnexbv3yLz+iUvDWUi/FE/b2heFQU2XYbyuxS/cX%20BxlTaRzDRawxAlOBDUZ1cNeiVLMBDCgDFXXAiSPgcAXyMt6nYzZzcVkwSf6gbV7VRekHHusHcmc1%20cmrVCU5mLCwRByNGZcJIaVmTApGhHZMRDmFDc9NmNg0CWA5FSEcADh4UDlB1WB2QWEG3WP9DB3j0%20IipusA7aoATYMA52liMgYFlPZzhRlwlO8AOdVXVZAYJaN4KGZoInmGipJTpfoCZld3arQwbH0jpq%20F3BaQwgw8AEfAARAYAEfcAGJsIM8qCg+2AXZYAJAwAWnYAIfcFzJEy/IwVxJ6BaBEATy4A7ZsA0E%208A5KoASHxz2wkl3sND7epStL4gaEUAojYAJd0AXtAAciIIPDRmzGdmwIiQJwAAQ/SQDuIAQW8Gyh%20GGagmF/fEhX1QA4MYAGgAArmYA5BwAIh0nox02ax5xYfJQTZ8JMYKQRAcHsjNGEDs3stpRgOoAa/%208A5AMAjt8AFfoAQWUAzEAluVeHzJJ4z/pVFpQ3AG59AFSkAIHWkC5wAK0tdit5Eb1wcVNGAC8GAC%20oBAGfGkCYRALM9CK3kdF5zYAf0AIUMkAndkFH1AB9nCLQUM0RwYB5uCQQPABYZANg0AHVeADxUiQ%20xnZ/cnIsx7J/VJAC82AB3FAPSvAFULlX1edHCdBHA6Q2R/AF2fCUGvkOWUApBYYWjfRmEGiSbjAP%2029AF79AOg7ANFvgIL3AL31M4QkIkHDh196AEVtKf2/CfWSeCpAUmrVQV/wAPTmIO/tCGB2oOSFcm%20wGEqZfSbXBCcxGJ2r0UGGroHGWo6ZJA1TVAJqNANW1AKPWAL57ADO3AEyrSDwFUhB0AO/9nglkJQ%20CkIgD6XACg8gDEywBmtwHGFhBUEaFjDzBOEYDIEACkEACl0QBAQQBFDqBgegCksAC9HQCJlwC7dy%20Kz8iBo3QCNWAC0rSCnqACGEACu/gBq7gnnDABWdwbBoapxsqp2Z3hkNACyjgAnRACGUgD6twCqvg%20BptgA8BgcGJ2FKJYMokCFdZgBzaADSagBPVAAE3qBn+AAJXSB+vSApraB57aAo2VDxMwAHrjCOaQ%20DfVQD1/Am5uwCRDgB7CABplwDDwQJLVqJE4AC2kgpvKkBjWACF1QD13gDg75m8XgA8yiAhnKoXRa%20EvqgBc9CCyvQAO1gAQxQo0EQBptwBP8GoAMsxjsQogu60FBGYA16cAQ9iQomYAL1AArh6QsPIKTy%20agVgQa/zagXCoGCj+gkwIA/ZYA6dSQCSigHqVLAGW7AgIKaMswibsAE/+Q6p2gUmsAyUIJwxSKdy%20ugcyqA/NgidUAAYNEA7ZQADQ6Qo40KptsAuG6ml5IEhQEQp1sAP1kJsPaQ5u4AiYOgMK4Kmf2gJU%201alnsSLhOAGB8AtdAAoz2w9KsAOteng/ggZ9EbU80AhTywOEAQLyWB5kup0EQAD9uZLWA0v3OKBf%20MoJApm3mQAMCIACpMC7/8A0YYhcd0UplwAC/SQeU8KbJ91rJx6EcGgcaeidNAAYmMAL/8NAPpcAN%20hOANX2ACOxAKordMmNBQoXABQIAK7ncm6qGjwvAAPoqvn3uvwhAL+zAGE5ABOfAHG+Bf4iAO2CAO%20/ZAO6nAAavAMsNAIx3ALWnorS/AjVAsLsNCrdbAJ5bJE4JAO15BGdDAsmoGxcRKnmGGnmlAMXFAg%2018AOkHIKghAGNjAMQjSA13k2CdBQ5noEhdsR2hBD6qAOWYCpp6apX8GznMqpIZIPFDCqFSAIGyBO%20OsEeJwsBuBACHMAIfSEGL8AIB3zAHAALojAR5eEHNgAK2VN73DAIPXCsx9YZGKuhympsiTkEVcAJ%201tsPXCMO4BAGOxAyvBC5DZIMgDUh/2pwAOjKia5RuIb1B/AqDPcKFvU6r/k6AUjaAG4AA4TAMxvy%20VEpwAQe7xOq0BAdzl3rwC8qgDujghEqrBCPABVfgA/rAEh6KsZrxNKVBDVrgAnAgTt3wJDigDLoD%20DMnwvYcCIcmwqFEhw0/VDVzTDxaADR7CBB3As596Ft+2LrEgtKNqDKBgvNjQhuQQBmvMKpqFBoxA%20wFErBjwgBoyABoaBC1p7AImMh6UkTgFqOfhYgl4iOVrkDxgQA1MgACtAAE4CLHL7VCOQDfEAcfCR%20C1rgA7zcy7xcP/Qjf2eYC1vzVK0UGbn1hSYAuUvRzM78zHNgDeVKAjvwAU1yR6eUHf/YwAqkeU07%20y7M7azfHQ6oD8AmOcA56dEp3dA1foAwHEArIAA29AA2N4HSmcM9LgAtL4AflsQhysAEYwg7ucCZY%20lB49cAa6/Mv6UD+9fGy7LBN4Mg1wEA9g07+uUTxHYAOjgAnQ3NGRgAmjUHckYAL+oLxYdw3qgLM5%20cDwszdIdACItHQikGgiHUC7YEA7hwA3f8A3loAQbIAgBoAp+4Ae9GwJDfdT77Ae44AdqUB56sAnt%20kT3/6UHc0AN8kAuaoAXBTD9cfZS8DK3Q0gk9wFUW8A1co5Ab8AEkAAy7MAwd3cyYgAmRMAo6AAx+%20cABfQA7s0A7J+FTg4AZZwAKBwFz/gFzYBTYDwRADORCL6VAqocwz5cAGimMklD3ZivMC/OwArXAA%20ygDQ0uV/WZHLueDLUMPV9KPViUnMqmUX/9lK2rCuCrLRobcUHM3RczC5wzAKu1EIEHABI3AXyksH%20WXENG/AHORAIIKIiL+3SHdC54zyqLOAI6pAO2TECXPMP5YAOOEC7SE3UQ/LdST3U5WEHFUAPn6WP%20Y0uCpeUl2HGgTlILTaDKzMAG3aBtcXtmJuAKBHAX6LhWoy1/8mfaPvDQXy0BZ7AM83ANqPBUFhAZ%20Ctm4FxAyb93RwBAKJGC+H1APHtQTULLNCjADf+wuhd0HZtAHM/AAObAPA4AAjuAI/0HwX6V0Rx+w%20CSQgCqYgz9AgBpcgDTwuDciADLAw1KqgCgFgAw6HDf3w2WeSbe7JD6Nt2lztA28a5VqQC1VACPEw%20DvOwDt6gDo3bk0pwBHUACZEQCRPezB89Cp5wAOtKAKfABVzQDfAwAt+wDjDQvivd0i5tai09AIHw%20B4LgBmh6R6W0QRcQ1EL9CI9QDUPyCI0+JH4AAWqgCnqwATjQKGUSt+nhnsVwBmcgzL7MxVxcPwhd%205Z2Q0z3BXwTFNTAADptgAJOwC6MwB2b+1h+tA2qOrl/wBdTDDe3QDyZQDl/wNizwADPgqSU+4jxr%20BjMwACwQiy5uHdoAD9jxkkqACP+XkO3avu3cfglMrQr3gAM4IMHisA7tcCY73Q1r9elvysX6IOpf%20HeBaoAXTwAe+Lhf1+CQfcAQKMgxlXutjgwkJdduRkNvAMAkGYL5KQA7uUApwzgXfYAHa4AYIUOzJ%20rSJ6vtwoLtN/8AXr+w5yyzXhsOs7MKWJDt4oD+mqoAYB0LBf0AXboA3aIDmmIsqplN75+CUSn0UH%20WgIx0A1s0AQYYBdwW3sjgAqo0LX67ZCckAIp4AIu8PRS7wJN3/Q1kAJIkAKDMAgMwADrigquUAqr%20YAtB0LhiXgdon/Zqv/Z1cAAXUA8fgAi+cgNbsAWygAp3LwuIYAsYgASHUANI8An/gf8JhD/4SIAA%20CHAIhxAEMEAAbIAKW4D0W1AGk78KXNAAxlAHFaD5FdD5n9D5FXAPbT/6O6AErkD5cFAGcLAFN3AD%20rvABw1oDUR/1neD0LiD7s58Csn8CNbAOQqDf7xAGtrADG/CbgzD2R1ALo18BxmAMLGAMzM/8a2++%20PWkC6moC5oAKXX+tQYAIhI8AnwD+hP/94V/+n3AIUOCkBAAPDID6qk/5rtAFqYD2oX8P99D592//%20oV8BBwAQdS58+SLL1RY2CWUtdMWAARwXKTqlSFGjRkWKFCO6cEGjASpzBlGNRLXFFidbq9zIqXPA%20Rh2YMWEekGmMxjtZO2zdWNVz/xUDWV0+gAL16ROSQ0gPLT30ianSGp9AubFlS567LUJQuSLAlQCi%20CjTCjhVblmwdOb8+dMlWisGgUnAGAQHCAIgFJCc2ZuSbAslFiSnkCgHKxmDXLQyWLVvlYmbLOsYq%20SDZW557MVPW6fTAx0sTnzqgIyLO1FMFp1AiMfjq92mnVLWVQMUB1Y9AgBq6E/rJc4Z5vy8F/X753%20eQc6AmwYtIOzrt8/6NGlT6f+z1+2bM/9WXf1b1116f4s/Ov2zxyRBf1oNMHwr983bOf8+etmwpwS%20JV2CzOsBpEe7HnoYZ5z//mvnwHboELCHeHCzYITPLOCmlFLiUYIzE8JQBgcclP8BZcMOP+QQFBzC%20+OADdN4JIp5xrqGvmxG6IccfbsaJ50ZCCIGBkHYIjGfBLLJwxA03gshmvPn6cdFFLuiIZ4MNONzQ%20ESpxcEQZEHHYAB1y+snGn2tqBLAdbkyc0b8fFZyHkAC54QbAQQYcp51rhNjmnS9ACQPKQXrgggtC%206PmAoDAEMVSQDRCFcoMwTPwAHtBMgNCEbuB58C5x3HBEEEeEzIIQKkMVNQs31AnClX78MSdMN7lR%20sh9t0NEwjA53KLFRZT5QRsMvBHkHue78WWcbbbDx5xxtvvmGmwLpUJBAaANUsEdutuvOum6yZTZA%20QtT5YocjjviAVhI5bPSLQbf/LDWML9KJ589psyEnzw1ITQcGfPOFQR190xEnHUMdASUIGNYRQhsh%20zLGgi22w6UIddcCJeGKJK554zw2+YHic224Dop276KzRxh7oIMRZbn/001kCPzbHH23o02YbJblY%20pgd/lDBhUA45PFSQHcYdlyBZ6vlsUtAs+GYdTYXEIQtQRHXkD0+DhIEddmCYZ74RYvSvHXO2QeeL%20RoVu9OwSPyhx1z01XodZOLZxDjy6w8NOO+68qxu68qDTJhVmMEhiBQLM+webmP3pxwR4/PHmccTd%20vAabw6GbT/G+YzZWCBdh7Ga+VsfpB8YYs/0m226SRV2b1LvZkUU23XwxRn+M/7Vgvs/9+UbJb8IM%2055rfEd/mcty76ef4V51tJ5z5vgFwwB6qVRwbJWZcxx03yWzHodsP96Yfyv9ZcjvryvFmRvourx4b%20bLzpAh1vwEHnZTBr76Z6crD5HHXJybt8G+h0rWsmsJx7LgcxiLGDG+EIx+m08cBzpKNYc8PdCJDX%20u1Zdw0X2yx/4sAG+83lDCewTwjo0yI1rWMBO/SBHC8lRDyW4x3cfNJZ0zAGdctSDS487hxK6Zrxr%20lCxAMase6vYXIwHSzh3zsA6BnHUKQrADG+WoXj/kY0QjjoA+36BdN4wVvm9Y7jmHqx02WnVGNJ7x%20H3I7oZwAJDvo4Icc1tGGBf9+Bx0aPo5OKQQgC/OHjW2Yg4E14oYFYASaP25QZrUD3RnHITkUUgcb%201zheOs6hjnPQwxsa1CCYXOQeZY2AAbdD4TXc40FvTFFxHmQfDV0ZMw3OaRDZcM4qj7e36VwnO9bJ%2023fo9o35SCcbJVjAClIBI+t8MFXdQIUJ+uEN+CFOg+GgXPiIB0w6StNFP+zGNgbErJh5DovjNKI4%20CMGiNrWDPKir3T+A2Y3b6S5VnKQnNvLnP39oMXfz0WCbNqgk6D0ySfakHKvI5Ka6uAh8XZrRPDdo%20nWeSI4b+KIeMRmjPVEITftvhJDlkVA5yVBR1I3gkJbMVzOPRB0Ja1AZ0lOX/nnR4I6b0JF90Wqmd%20xtFHOpyUnCH/IVFjTe5w7IMc+DR4oBQSYHittGc5ZBimFuqPPrf8xja8aE9ypFJ/2epHOBbUg8l9%20QZz7O+QAP6dBYNZIQT2I4jtYyL5zGIt4l8sdV+fzxwe61J3bKePb0vhXN0FHSawa0CB61Mmhhk98%20GsQjUTfZju4poR6ujI4/qKXSEfgwf+Lo5EnhkQ3rEPKRo5XcGGM2nWq2UoPsGF84xuie3JHJlP8A%20aZdSxVdJMpVyFjgQgbTx2lXi0m675Gt3fClcm95SOuyzzjcY57j4gYNyd8XGO9inxdKRh32T5Vv6%20oINCyZEPhfMoJT33KDJW/7XqRagLbTzAsShwxFe+UAJFxMCBxcs19nHg8MaW0AElLmULHjGCZpTo%20GaYTQqceXWAo3SZbDvZ9AKt/7ELlojM+dohDHNjQ8I1uZEp/wGN0A5RUjLChsrU+Mr7MbSw9KDdg%20bsIDHp/LaX4tF0LwWe7AnRxEBrnhjk4uCcEaFAJon/nMxyU5ydj4Qo5RS8N+aFiuubMOYnHXT/9U%2062XZsqObfrgdDrePfeRzETgE8V5QxDfN6tjAe9+7gRelL5gX9seGocQuRkHpA1u683937MlsLDWr%20qfRHF1p6yoZ1wWFZla6Sl8xcIfdPOijk3Ja1SD5PIjjDWItpfLWaPkrVlf8AIZbzScGjW+b+9oRA%204IZ/HlmKBFuuftwo8hjJ91rh6hJv/jAucqWDvCfjzj61k+90/fFHY9WYfOxTtOX2B530MvYfdJIt%20tcGrQSCcML3SM2Ij2/xtQXyhzeBI8wbUIQh1dJvKQ03ye/8LYI8SYH9MFgQO6HltbiiYwSClW+1A%20+sxWNnnM9QjPksTBjjp3+EY/jqc7JyVAE3RBZScTEDdWrFiiAtKIoR7rXKNzvilac8cnROg8OFm/%20kRfZe0h2tDc+AFRYfQmPQwWflI21T0/ydTsYFBMDrEOpf7hjHPP48lA3TGgdnxkU3y63fA313vTt%20b8465nAY3s2oq+9gT2X/4yxNNRho9g2auYD0JeXiCk1vfCGj7VNyjjMt6eiYnMiGXPfbr7FpdnSa%20v2N+EePggQrr6NMEDCDeqVHtUiGEw5E1YnUkK+siWu+Sl+7xtXXuxkte663yp7TxUHHHgMa1b+/p%20syLlT0l5IRSuctXcKco56bffTgeAlLfq5yqLRfENqHRIFHClULdlUyeW7fIFRzqy9roABYgTnODW%20Kca3+rhiY8GDpqnlZj8fBjKgpdcXz45RKEL8jCCr8TgFzsDEjSY5C2XjYBNbz5kOgno6tdiAH6FX%20Snmy5le3Wc3f92pYHW5AAkp7vZlrJTAxB9Byj1bar/jxBr4Ko72pHzJa/y9yGgF4+IcMyhZKyZnq%20SqIYKQdW4icwCYeuoyQGOJ67GCzgkbp9ejJseCQ0uoEbeBM0mi0ySpX8+AL6S7KTAzJ/CAfrIADQ%20aikxWzumsjAXOcLwmbESqw8T+KZSyrgWQgf8UAL5IrQK2iLrQIVuo48LXMDhU7JWGp7QuoYaAIJS%20aLwlObQvOja2sDXBqjxdw7xe27y5Wrbp6gbQq539mrLwQYIiqIEToIETqIHXWgfrsrDHyzRpwzUM%20KIJamAIaOLTaqykKLI9rGJBsgRAYSYVK4IgiKIITMAEgYKe+Yar9ki+swZdzkpZBKIEk4AK2OgUR%20bCfEYR+NgR9yqL7ocP+FJKgFGnABDKCBVJC5NWJEnroG8JOjEwuQqwiTT+gEaWQ+ATkFa2STeGAH%20/5M/poIfdNCfEyiCVCDEJKCBbJG3y9EtkOug/6OOBlgBGhgvdwDC1fO8a0BA6NAqtmtAcMAAFziB%20QgzGBlCsgiuj4iEnSYEOQQzFEyidcqidc0iibAHBVqoyMAEC14IDMHABQRTEBugd4CnFqCu8AjQj%20kGkVICCCSnikA/mYbLOp2mGhQdnBx/EHzsk0FxDHGqABniQAgDPCI6S6oPSfbkiFOjiBOjiCiotC%20oprCKrxCvpuxRwzHIqCBKcCASzup+VMy/oIcFtuOuyiBeIQkC6AkPCr/I3J4wwIyPeSaw+LSvM2z%20jrlqn+ayD3ZjrvkAsnUoAWZYAL+UAngsIQJMxprSsWsohTOKBwxYgQWIgRiYgjJoFdvLOaLkKDdx%20seliADCIAWaggr9sAA2yPTrbsJvqB5HiJ0qiDxPghwUoAX4ogh5YPaaKvi6QB1iSQJvCBhpoTMZc%20ACmgAeZxER8Ej2WQRclBGUIYoDpogr6MgVpoJklRApCaok0cgVSStXz0Bk3CAAFYgM70zQVgni+Z%20ujCjG9aLDgvwyxIgAhqYvcaqyH/ADoscH9IUhySIASlozMasgU+aDlOTQNwhT/GBglz4SzAwuXWY%20B1ZspW6DtiRkn65D/4IYWIAmyE8qKAHOcQfOIklJIiN3AqDtYIASaAIigMUymI9t+CT2OZ6KIoAR%20UsFrALJOKoMpaALH9E4BuIHZGp/ne08NCx3JMUO/9E0iKDEB+pxJYgeVKZnJ0S3LqQXGrFC/PIEw%20ghk2RDUlrCzQ2oZ68M4STQK9xM26qgfJuzU5vLy3PK64vJzjoUvyYICXAUO5NKEYLQMLuAEaAALQ%20jFF3MCEdK69cIjkY5IYbWIFTiAdbOIUaKQV3uK3FArFnoxFueIfrhA5z2IIkaMgbEAAM+DGderww%20W9HjYaeTgxAwyIUVQFU+8CDhi753yAb56NHKeVUCuNOIgIMGABMT8v8k8ICX43wWCPmAOgCD9jEB%20chigcsgsEBypEfhK8ukCb6BUbBiBTW2AcWiAEmCi4dG/wxGHU1NE6BCCEoiBFYiBEmCDMZq/8MEO%20juLRUN2CHtsCGrgBDEA4G4yO/+xPOStMd7gBIoCCJuEE1lpFHTFAI3LQMsIG1goTIKiBEgCCfgCD%20E9CgdWCHdeBQ1CKj0zpG9XDMFRAANjCH49kgUWUhE/iCp6qW26EnDJAHV0ACJLCFLeAGwptPlCtJ%20DnMT0opRGigBWxCilTpSL7o7AmETWkxY5iIWc2CAIkiCOBGAVKipmcHSw4OOBPwHbRim7lyBEngH%20T2Ke7qIPMoVDtsz/NTTtpb1hPbWlueOBnHwCghtKLFmrMyHwh22ggRWgAiRIglzlUcKSnQCFUHE4%20SOoRAAFIAkkkSZ39psnJLw2CmHSQh/3QIAEogb8QgAZQ1Dk7ML5qUHGQGPs6VhM4ghH4hlVgogI8%20nIVFQzmhuVTKn4lCAgGIAX7gBP70B3eorC8Cn7fyspU6KiAQICQYgGkgAiLghHHQqRQdGSgkq5Pi%20Q+vKhvpYAWNwAWNYgRuoW7ncqW1DrMmrR39gAxLCTUwjH3ZFMPBCowGpgRVoAo+0qdX7MpIjTQ4T%20h3jgBhjxhx4QAOO13HT0hnMAhxy5GpHjJMdKJWT5BzZYgSJogMqV/wVWqo5qCtDPkdEhcwVsGEh0%205QY6/STi6YYjCRPoCYdDC49amFAXAAPAGjJTYip2wtcZQ4XDTQIBSIFBLaW5JR7vZarzO1UX4IQY%20oAFzMIcSBo8zYmG/qYd5+QBNkgUX4Zwgu60RQECyxTVccku0Nc96XFtleibp0h04BTNn9Qd2yAYN%20qgXjxQD2DM4SFGHZubnp0bBLSx828MtFWIBK6AKVgjbmRSG5ald1cAMY6Lo3QYIVkIImWIFzkh4H%20pSdsOVhsSAeIia9jxQBytd5TSF3KWd1SaN0Vfd0V/QcXKIEqAIMUKIEgABOsJcIyWqjBejgl8TJJ%20SQUUCIZcyAUWoP+Da+gbEZYT2cEvmMkkb5DeiKXQXAiEFhGPqauyI9bX1A0HGmAGAfgLC+ieyZsz%207IA89E0jjUyCEvDXWuDif5BfVrG5DuOGH0pPv8wFAbhYJWa7AZYiw+wktosPytmGb+hOv6QB6Iir%20c+hQY4s6E5qHDt6CCW2AIpA7QJVL+jAHeOhlnFll78gOWSiBWigBBliBBjioIwZUF35eZytKz4wB%20FGCB6IFBabtDykysLrgGBrgGOFgBFJACTp2PIgZAH3s9YqGoaIZaGgCywUK55kHAQzNTX8PizFPT%20uJwO05JP8Ggp3bmGw4XFIMYWrJXDvEoh7mQAFAKgwrnpCBRjuer/h3aoAdAUAnGQh80jSMsxBwGo%20hBWAgxx9aqslruqYDwvoBxeo3MqdAsVRPaXOpeWapIv1B6ZNApNBzCADM3DNUr/hPnnggwaAAyDw%20B6Vy0kkqTOk4tNjDWgaIAW/GVgaSYKtVPSveqXaYghJY7RU4gaWeDtByBwYQgB4Th5dWUYmqvOEp%20nNu6gQbYAsUJpPisPGwgAMoRgmXh3xVggxIogu3oG+rQBqUyoO8Nj22IgSI43AUoAyBY61wSDxog%20gnaAgfuVwwetyOHhJLMOnzGam/dksZJ0kYuN0QU44UIFgnXIhrH7oOaqtbU87bpB6jp8bab2GyGs%20G1nYqzKIgSZo/wIBqGzk1uwr3g5LMWzDNVwwqCw5tMXwsQByxe67Y+u0rY6ynIITEMsYuAG6jk+7%20rg5tcBERlQIpiIH2iI6WAvCMna6rABMX+NgSrQELcAd3kIcmbeyhLGGa+YdUYEyNtkEnVeV+yyv3%202NRRPuHe6dDSjkPwcOktEIAmKCYRf21/MOgLL4JqxtpjC/O6mT0lAQO/xFzcck/h2oYO8iQBOAEi%20AAM45yLw6AcC+I5Uqe7w2AIqkAJmAANpQ64wB5MaMNfKde2jPu9QfhkgKIEZLwHA64a4hd+hBF8Y%20n4eMFpxRfumGaRgPFR//njwcBw8Bh0sCjw7TOvC6MYfdAYIbQP+CBkAhIrYOOcclMrQOPeVrAaiF%20b3BRCQ9wsbaO+0wCuEYCGFBr4qYOwx5XG8XoFT/b6riGbwCyb3CBG9iC1/ISV9diDktRMJHdj53m%20IPPW83xvC3stYMqGyi3Rb/4GsKvIzA7w6bCA+6QC0AZbLM8G06ab33Hpv4DyV3+PcDCH1S4BAQAD%205oGZ6ZRDECWMFUgCMCgBMAijbwDrtGUfAgAebnABCqVp4N506vDzPsItaWcevd6Ca3jJaJ8OF3Fg%20hy+BGjBvpAUk8/CHHgcDGq4BzsY1Jx1sf5AH1vIkYip0IriBZaO5Kkt1o27Ls03qVy9wrJV18Cgc%20YKp0ja4BcN//jl/3taxFzQaoAZhVceg+ag6HDgGogW+wAJzXsJkPVH8I7xJI9Ok4NGyX9hTSzDtv%20gAaIvesQdNKermswGJcG+wZAgrs4UTJu9/dm69digxiAA26AgxgQD+HDy3vFevdoqbIE+hPg1YzN%208rKdjspmgClYgb9Q8avfq2tAAhdofBpgLN5V8xUXJAklEz33ucInbrwseCTQeArX9D7/c+o+dvGR%203W8+AZlX9Oqo23Aw6xtwAZ+L9J23JiIQAI658wSHjuNS1+WqnPke85cuAiIogmRumGKhnDGqkzLV%20cqq3a6uPfS2X7quVdgACiG/+wAhYgESAi3/+umn75/AhxIgO/7c9DHcNiZQmC6SsyKawocSQDv35%20+4ft5L9uJUokERADgytxImdik2jhWo0YUha4uCYSZLZs/RSKvObvGo0VKyq5mLLuH0VtT2dCrImN%20nTijOGM0acKs59FzQkySfXgSZU2H/SiSJLCSCJEFFuD9y3bWqlGqDrVlo3itSNeXFr6FTJuNgNqZ%20FousiFGjREK9kvtZ8IdkxU4qYCyE66ftrGSIDRteu7ECrgAiFhwyDP2QHIGa/m66iLFgQZEtJAmH%207EeAYr+SJUP6E6C0QYwyPl07TAvxGtIFGqUkYa7Q6N2T2SrXJgJmAQ1/30BSbH434kmS7IRYxLlx%20RZFwBNZhG/96cuhRIUJHJmbuLyh+Crnyz1TWzTTUP9oQ4JFIFG3zjQUruAAGEiXQ4FlJ5blG0j/f%20MHDUDQyUAcYUD2kYGklWpQXEdwLUcI04MjHnHESVCQDZCQb95BCARIV0TWU1EHECGGCUwCOSkln1%20T1b+zAMkEgwwUEIR0GlzTXo0mnSeWghqI9AWBZVww3DbZHedSMNpg+A/N/D0WAzQSeTcYf39eE0J%20YBRxAmRaGujQN9CFyMAJAnwIVT/1GbjNUEL0g9wCU3yYTUkguYYNOdhoE85RAriYRAxIkDScRL49%20FZyPNq2AARGXNbDcpSGx188NW0x5gnVH+ZMdRd1AdwJHJ9T/Ix5IU6mIkllk+cOOP0KUxkwSLpSw%20wjglYRObScNdox+Cw7GJYo/CDVjgn6XutSBVsnR4kXRUxEDmdn9uA1I4UtZw70rmwHMiitai5M8I%20J6yQBAPziENuaFqSFI6L14SzwmohAbUfqRG5Y1QDK3QlBQ17/dPPt1SlJ0+T1zBQwxYZg9HeNfKQ%20ReN5fnbj0BYtJWEByN2ciU1eEn/0EBsMGIpTCc0WxiNiH890zRY5UXFb0uU+JB6QNTSABBElVObP%20Z5lKvcU1ZRAhwAnX9GMOg9bdt81RQCRxAjeoCECAP+Yc+NvHwokUDg20dCWAnGpLZJQFSCCBQQwl%20+ofdXV04/2SBNpzcyMaJlm4JWrLYkGSLP+0JcMM4NQgAxDWfqYjftvv5GLJe/1EsIIFS93Zu2j8F%20asGEYDTAzUNKlLvN1jfoZBsRExmY4pYOFSGFAMxvQbLgEhW00U4LbLFjXa8Td405pb1dwwixc52g%20kspCB6QL0t326k3+rLOrlmdCpKE5SSzQGOD/IHbmUSIhiGAqSqC+25QAFbBKFtLsNDjo1KAIU2CD%20ECpWLm2QpAw6uQ0YHMaQXZHDOg6qDBBWcL8FbEYh/uCXXszkmXDEJSMLiAEzyCQQ/80nb6mKSD8Y%20gIG33QBI0YuIP4BAA+nYpgG5YtxdCAAPf9SmMQtIxc+qcv85mJlPGxHayHRG55N3LAlBqeuWAiXj%20ugD5Y1yyM1eC0NUgrlnAAi4CAjdKgKuHWE4yljIKEKTEDSCUBG0G6sbMQOOPFYDvG2S7BgwMFD8X%20JKEWNQCDC2jAAOyFqyizSUIlgPANPgGnjnqxCjtKBx0GWIB0pHPYOvKyJLOAhkZR0V8MBjEOOCzg%20Gx4xUyt7hkZ/DMUVRXibC/bUE9aVpU5K8x8QhjQbItTijA6x2zW+kUdutKMds1kNORJlndH8AykC%204AY3DoI2DlnnHP8KJiSJdAI2zOxuwNGbWuz2D3M0oARIsMANSvAqRQJRPHkMB+nCcUT4neUc4rEA%20XMYBhCn/5EY0rMRcc7aklXX88gQusGgN+GimhtznOtzizzE3VMkyxs6ZD/GSGiWGmEH6TQpPwwAv%2091Wus5nDH+3I57SKIDV/wGNN5vyHBSpRiRsIbAsx+iFEqIYBF7gACMQkX/YCtD0wMKMJGaHCCYbC%20pqdKsSap3MaTcFeCG9GgHYHyhzh2VRbzQDRqM3PFCijkAgEMZor/OiAOeWmpozCVTEaRIJ2SxlU8%200cJdGjGiSQMVDgysRABJ6NlJfLcohTQAIWUwzkj8IdlLvQM/DLhG6BpwA7vVTYInrSGqSAKSbxBm%20GzGgwk6YEQOwIfUhQPIHn4wTmQ0hEXP+YIwL4BCDE9QE/2+Zg+jLFCIPdwSRgS7ghLN8gg271MSL%20H11drkZqRpP2R0G1k8g2PJKKrFnUWeYIjjY8SZXyBGcrMWjMFFxhASWodyYLqQ8XeSm8jABuHUHg%20Z1LNAYQTWFUKWqOk9iRiC6aVoBJFAAMqPJKNhnDNtIXRHM/e95cXvtcFFjnKU1bJVhEnKF7dQMJt%20pKCaMu5MlxHRhoa2sY5s1NMrCyjBoeaUwJAOjgZTYOYJbGVSXvqjBkoRIRi2AISGZMpPVEFMPxRL%20hIwQ8h+uIAkKRcbFbvqDG4CRgmw/NL7e4C21/6CLQgTSj0IVoQguuMkka0uSa+RIKQLQ6eIIehIK%20mkOaJf+wqgCQoBBGhVR+ET3J+Y7iRilIIQaGEig2KNLR/KjOW9l9HUkRdkaUfnd+JbEAA24AhBsQ%20YXcQguqfuucP4cGRj6w5nlpPQoBUmCwVn4WRjGIlkaOs5BuIQ6xEJibVXXNvC9xgABhqMJR1RIWr%20XVWIOJjLDSNxigHccBhzxYGWqnBpJElzBRssAAc4NMAiZ86ObPAKEZD1o0BAEEADGOCCFcwTsA8x%205mAxYBEkJKEMFl5UBVdwAwsc22wOUYISnCyZbpCpHSeD42oqrDZZu6MfISwCHDAgAAzU9G6n0ps2%20ZjYcc2whG3QuQhvVLbLtFeHRTh0ouj8GtosMXK1qMdb/FJ/NLHc4iwGEHHAJ5iFQu5DFupUOY+u0%20W1Lucnom6f1HA4hwjQZoJAZG/IY56isZAowyBiUgrzlGwLZcjYC650hKDJKAhEAxACsAhsgNNI5y%20GsQACAgedkSuwdh6MboJNfCY1tGzJeaeLyksmQISrNQ/EsfspCOpxXuTAIdrhwNyuESLi0Oyjoac%20Awk1AM8NWu6POAu+LoKdST2ZWNXZchdnQvu6no4ynpN00D9BIYBLyHbt2Sgkaq6JTXqDGPUpxP1z%20aKbhO1MFMqg08B8loAIzPqfylSeVMgxYABEYcwOY3+Uc5mADZohQA949U4GGNs+cZ1OGy7jgBgTh%20RkmI/z7pL4LU2btWuqZl1/SZBAVxFrANEEDGx8xMp61XeQRROEyLcRQBBf2JeICMObkCDVSCcTDP%20NbjdjISECC1AVVGBwN3dDUFEKgkcYJxMCTjOupWPVzELdGTMkblAP0DHspCYXdHRXmwDBkzBFLjE%20aURMzPVPSJxIkTVG9UTf1pSe6SHdQxzENcRADPiDhfybdXDKFkzBArhEEgBBONgN7UkNDYABEdgG%20eHQOlk1cTbhD8zAao1kPSURMqaCWcOzVPzBALUgKM9TCZQVRbY2EBWzBCnhKDOwWivTWSXTDN9BA%201jgRFD0dmxwLFdXENthCP1iQbTzNFZYBpJnOMdEfdv/ZHqZtF9PRDv85hCw0BhXAwZR0jDlkmWSw%20hQVgQDjdQBlgQJwFhXV0g7VwUZR9QwMkQRNQQQPExNs9xBYgQQPUAANsARxMn7CF4EikkhgKwDck%20wRSkTUnY38tggzjIwzbUChA0QD+Eg5JBBwGkVXI91CpJBVSMRD/AwQrQgvWgTYtJ4Udo1dVcTdP0%20kIUZxumJRAPcBlZpA5WY1PtsgTjuDhwoh7cgnAdBRbNAh7TQwgoMBS4q0jngBxLcwA2IluEERzuR%20WfKRU95sQw00mhSUATcsQA8No0NISaj1oZJx31lsg1/0wyDEBS3MkUOsQyN2G/rpCp3FWwM0ACe8%20Cof/nI5HHR2PiRH+cVd3pVSwJYgF0B0SwFERNAAvGU9DfsNlCEz1EIHv+Uc3zMtJ1BOHFYkFiAM7%207CFQDYSjGYcbvhiPJBgQhc2NxGAkJUb+HU26+UMSUAlX7EQGaUWKxI9PMog5pML0pMaLIAr/TF+C%20aNVe9IMCCsAUVJ697dhgIYcLYEMZ4KFJmYMrLICRudDonNA2lAOy2B5uOVFqbJ/dFKDIaFNnXEMS%20/GFqwNSYveHHEcVCWBGgCAwGeMgJ3ARbCkxtaAQJyeRJUAQqhOELsYQrjGWSZONqJhdzucIoVSbB%20lE6kWYW2XJeleSIZgaJJ7d+FrUU/OAs1Xdv/KNxM/8zLHEbJRq7f9TijXkTQ+awZFdDCcH2Wrpjh%20WpnMCSTBbcoFCNrbVRzMUZhMmRgPPWbOwVwDG9DnUFZl3RyasoikREzYxzwfFWxcOFBKP8jmZOzk%20HBZBg3ld5mEOvi1Ng3IDzuyjB3VDA9ATAxjjzFXKdUrG+RDAClBDEyDeh0HH+/yJRwQRELjA2JQA%20M9SUifpGSK7VSFxJg96E3dUWNjQAKoxa02zB9s3ItrWkP7DBAlCDFJzADYCEpWidzMyQP5TBFCQB%20ESjFcshffZBEN6ANGC1l0n3i0p2nKIpEFxAdpyhHO0CHBTCKohhIQ5iDBbSDkU1LVlXnIAIJp1Do%20Cf/UwgpEH1bK06WM6bpYQJ9tQSUAm1xG1Q0tCVCWwYeEw1NMxVAEnob6gzxoxTWEoXFcCEnI34bS%20Y7v5RirQQAnAUPFE5kwphEfgzDVwQw2c6gGpiGbOxCn52zVcjI4dT021nNeVQKIuahf6RypxTwO0%20XGMkQfesw+Z50HDcBHTs0TVMQQ1QyvHhEBwqhJMdhTtcjLuy5ejF640EmoDSyOgdY8sxA3iwjf3l%20q1poRWdUyGiVGErgx54qJTYmVVM6JXrq2BlO3dQBqLWYaBDaFrukhhwJwUcyRzThapyyAatoBA1E%2008BODQNA5/2EaVSqqoKSzDrsa9ggQXmcSqwg2nz/zEYRpN1K1IAQyNOSyAaHQkSSTkUXYMAhCMBL%20MZsDIghP/gMQ2IZOCEDnoAeyvGhRuKsr1IC/HY1/1A1yeIqF7N7lWMf5QMg3bAGwhKi7XgMrpskJ%20+QrTTNkG+ltYrluZ6Y2fAMnFYIAQGOce/spbDqSYithsjEA3jEADVMIKUEEzfczC7ppAkERl3cb9%20CBSBICXA8Gn9XVp5BqozbeyLSSlu1QASaEQNnBCVMocVsZ0AtAM3LK7HWEdNEeZliK4A0EAqRajY%20iphR7BAYnMDaJeiz6SsGnAADaAQUrePyqeB1aIW0ONWMCoSCbNuo+M+aQIXAcGDiyMFI7C1xeMbv%20//6FgVpNOHYVPyphS9IZBpSk1cUPwNUNEYANNxgbp5iENjEH4YXDFLhQJUwBOH7YXopERYbjUfRi%20kSBBA3qcDdkcEIEBYzWBACgHW37IFwJUDM5sZm1BCezEe9XCgBDF06ltRMgT3VyEDtYAmdRUfUys%20QlQsSIynSAHqA/+J63JbTQBs2gmsWohsg3yDRUyJck6BPCFvSIQDYTBWEcCU5hAAqA7tgNJAU/XD%20I5UB9HYVs7DDZUzLX17ZQ6yrkmjOrTbLqjmhToBBTfnDT7Hq065bQ9ADn0wBCqKKEJdUQxDAVQbR%20F+ZY5kxrUQjB1/0h5CJhvziE6KqYNYFro26INv+IJp+Eh258DBUDsmtccJchQRFcGxLQgKjUBfJl%208O1igxDEAGMcLQNkaQYm1VFc33s1AZ5xsXMsERtgEg2YQDthrZ9KUUSsBmEwEa5YwCOJ2fJN2gig%20bif+8OoGsYEM8WlRBBukT3LIqx/B5xqNBBDkhHdMwYVART046gyBjJl0CCCPRQaK2Ba8R/O8yxjX%206q2yAVc0wAkUwTsQBftGLzusg7UBS54wsJqM6fj6DALxUnAw25Eyx7IlyFPkiBx7sAklsiKHxE2c%20ADN0BBFggOYYM3MATzf4HJW8DXSoWY+24kN0A2WoxQwpMXFQGBJwxXs1mkgTQH2ZSgY72TXUAjP/%20lAAblIAtkK6uAVE45AhLlJrg0GA3wAMgcch/eAlNpIndIEFVucRHx+aWVdcOo00P22+aZGwoppGJ%20akoR44QQnIxPPIUG424Mhk0JwBED8Ea5HF87lQepXmy2mgVcYIBSVCUzziXeqcg1jKvhIEULnxBN%20HxrPyIOuMKnFASgXStqvisRUzItUZMgaS3EKPsWaYANLNICBKSRSGzPZcjSMNAAblIHSwvCGWEBR%2038AefRbp5nC58NTUmMMWGwjRKYS03IBLKBuCKJyUsvLhCkEtsEMDbAHj1nKNMNFgXgMtJ7WJ4Eya%20DQaFrTH1Qa1DsEH2tS1WNkuiDAg0S7MPgwsQ/zvlMXlXfNYHBaFyDTTBCtgdYrSzOsfgPz5x0tBq%20RHzunj7TN6QsKCdMSNSCALCBp2BAA8SlQ+nss62DOGhDuYbDTrCB6liqSLDquF6DC3iFbZzAOit0%20Hv+u4y2lX6MouQhALQiPC6QCVrbovfXjndAAyoQopVQMOIcELo6ebewEEZCOQJzEOWyTPI3HcNBN%20XTREQAteeP3Fu9xI/g4yct9rXNtWLYgDGFCB1EGmbE9NODRAVd2GTiL4TBji/2hl9v51RNxnapgp%20DdAAOJ5Q0woHD6cuefqmebbuoHY4o1yDY52Gi1RYpP0JhQFUDdDACThvh9iue7s3NhAY9JU5qv9G%20eCVx265cAwE8hqdMQQkk6YO2MUkcrxBswUVZFG3VRdOaEGg7JVyXByLUQlcwAxV4MFZSxWoPTnG0%20xBSswJkjUCgDzDekQjCdQA0kqloceqT/zmcQSI50xS/qyLODpHIPjounndWBeZiLRzjwTRHUQPs1%20u9T4CW8QwBT84lWtgBH9h+lGs8WqLp+z7qb9+Zy08xYUwQsJwZDwZAEzB6WkhLtmZEJOEpOTu1O6%20AxLYwlBWaGFLeCJL9tTdRgPVQhesRTHzpXKdD9PYSgMAgW8nV1osNMJThayygeyyQQNgAOec+EYP%20jhCkDzPYwhQQFyRvCMhgwA3AARCgJPeMdo//l7zgUViO6nwZrHxNBDdv/nRIuMOfCYA8lEAZiLF0%20J5XD6LwO4bXQl49EKDlQuawr3EBGJjR4hrWHTjN7V7N7Y3NzYAt0gAENAAESuINZPDl4ddNF6ASY%20CcBDDO7Wr+1EJfbDZzpkt8x8l0BpYMDHNMTWqiDPZMW2AEtXkCaptDrJ//3rPkSMJJre6rqND46/%201cAUWAaNljRJCA8zZERdG9xJ/HO5n58iYcORGwU4XYzeGvmVT6mf7IqLrEPtcrubK4TFDVFG6DLm%20o7m5QMcnt+H7YHx6x/ueiwu965+9C16J/pbG9LMYcxSA2zIfckOIYI3iHL/suM+13iq2MjTh/ydX%20gzKA/RBBjItg9y9JWmlF4TBAZYEBYXiGiQOEv38DCRY0eBBhwoLatPUb2M/htXXs1rnTdu2awn/Z%20CDxU6O4akhVSatGgcRCbxoTwvvlrwKABkRLcrvXzt+1cSpUJU2Lz6XOnwpwp/YUDwg3pum3+sG3T%20ebAfgXX/bP5jijBcEQELTtTawi0owacF/V0L1wDIjRJgwrZ1Kxahw3/fLFi45s9Cv2sWtDEFik2g%20v27msmkbKJCqW3/ZsjkM7Orf1LcK5WojkE3hu3/Y9BI5QSRmEQv/tmUbu1OgzXDhuDW4gYTIlH7d%20EE+2/dafv3VlMbLLiNDwxsZWC/b8F6Qsjf8VRJLUINKxr9ygPnNf2ybkGoMaW24IABPOX0PjRHPf%20Nl/VakNx6zCWLauRo8eE18SVIFILSVeEp3ey9FfjhhvAEKCda8zxpx+g2spNoJ8cJK+26XzSS5tx%20MGpvs3c0i4uAbagKbDOEFqhhhWsE2OK3tvgToigAGyghCfNQCpE/lfgz57C7dHQvN4g248yqEQiT%20CzHpglpsuMcik9Ggyi5TiDNstBFiCgEEIEKAkwYioEaVtrEgtwZGWmABIg7zkMk0E7rIH3F8u8ad%20NQdizLHiQvTHlm1EKoKI2LpILEKNjHOPGwtoWKAJKWJA4qEEjbOqPDXdaqggicS5hp1t7gr/tKD4%20EkvIAiFKqGWKEhZAAjA73TrwHwZikIJMMIAIB0efNgyLwR8fhNCtn6rDSIh57lpnqISimqqqqw6y%20YNQVpoiBjXZ6RagmDGJgBlYt0xzvrS6t0qssc675JhyzGNMGKMcGK+ww+XClkzh/IJNMTScx48kp%20q5C4tokStpBLSrfQ/McCBoBwjQEhRsNxMm4dDlHG6vxxBwZxsGFHTuHqhMunawi4xhUBmqBigQY8%20gig4GwHbhh3e+oHjBlRuqMnDpmiElFNJNdJmm90GEgcGdsRh+S74OvqUWnEaiIEaZgQQYj/c4Omm%20Ae5uKHBcR71FKFefvMHma6Bybeudn+4C/0LY9s4plkMPk4W4IHFqYIaKJkRLMSz+rgFiCwzgYGBm%20NXtysNuD/PnGsB1rqoljIP0RcjjikD4SXiXpTdNeKKkioKx2biijlLsMy+mtbJZSawUrY1ihFvBu%20mvZhbtN0czc3sREn48rtTOljf7C7oQG5GKPKSM2JkuiEFVYXIAYBkABzI27H1lkleosURx6hy1ov%205zmPLr4gIDASh4AtxIkULsVSKYF5AVZYAQwUBWIb1/J++jpsnHvF5pxsfr1mHFP5CTmMJZUPWaVG%20dxEHG+YxD+xM6yA0cF/qmHeCbdHoJxBsklyuoTD3YMQm2DDNZgKzruAUSTG6k9eSJJU5Of/5Y31E%20AENspnADBP2jL27BHkYEVAIfniAJReigOHBHPSOGJTiVc49BCAAPASQBDFAsAQ3k0o978eQvBAGT%20OWhQqkqQigipONoVj1hGlXgKfASpAYySQMMtpMkd7qgF60owhSmcACN2uZAZ+di2A+YGTYbZRqli%2000YwPFBFWSwLbPrUpyQwqo+RbNJAtAEvyaVRIUiq0wovxyQXKoQAz2qe+wRQAwt8wzbyuNQ1sKaX%20BgRxfPKQpCSTmKQlGmRpq0vdCmpwLoKQsThZHEhLcjMCeIzAAq6YQio8krJZ9hGNCgHDLiloQSbt%20JW1AcMcJZnKhPD6zj8f6Iw4HgiNzFIH/ms4KXCIHdaGj9AAOROgEOCVZGUuicEEqnJfOPnmQjvSj%20Jdd4DRyQABa+ODMoRCQAAzCSHwFQQQpEQBHQ6GnGWjrmlofRxtT6wQA4cAIJbNAoMA2Swaf4gwEH%206gYqkrAAKjDDgv2QRUUjGU1QAcECN3DFDWjQPbfspYO1MBUtpgCScn2TpkaMittAFMiBsGEb5sAA%20BhrwPLztxKRWwUhrwBCDJiyALUktoz0jh893Jckq+2whJZ+EmiJIQQoQdQFBKukWAsDgQlOQQuoW%20hZGJbE2sk7kopIpmkJbcIAaIogIYjrYkTGaVIIJBhQCYsQL2daEfwenHwAIrKZtS6xoY/3ApLZgB%20SRlhpBawWsGpsCMEkFyDJp1toQHftg1U1sYfSZACM5rQ1/210x2rXV0uStED2VKPrERyF+XQykl+%20spWkBFnKl6hUAoPNzB8dmozFQHKDkZQACJWogbi0QcTjpmmwEjvI1EiEhEEAgQ03oRdndwc3V5iD%20aohKggkEsCWEnpdJnz3INbaAJQb8gw0HZtLEYkCFIsiiBBi4C2uKAj0An0e7b6MUXRDHAAFMoYMo%20Go2KbsYbKTTBBYMowQ3AcmFPUvKey0WNPllYL+gqxEOG8QcYVvyau8yGIW45hzzcEaYSjIQZSSjD%20xG7n4tukN6MD2QY8/tGAUt6AE/UYyP86gmw8uBEEHqlIwgqawIwpELCu9HWyWwRsEIzQYIpIQIJP%2028KeLUxhtU3I0oQJtebJiPNtN8Shh/xxJQbIeS+wu9M1XEMERIF1EH6+TXLbNbkZN1etNsZhWxXS%20l2voFa4xcIE5MKkS3+jGAuGwyRoXIACQYKMMkp7UnGxZ2IPUgEwLkMIUZuqRTqqqIBbwTze6wQY4%20L6AW2iWNrEv3PYVYAAhTyPUKipAmf3CjLPKgQUunwCK78IbZYVnqH3NIFn+UAFZNWAGKCmfu7HAD%20CSKLUbjbQulLphDTNcbcjRMiEG2A6WAebUBNvoE43CjOHzj1RxkaMLE20XsnULY1Qej/4hI4wAxq%20mzVrSYEjkIqXBwOuCE5jIX5GZ8/nGgyHSQPKbZ4PdtAfskCC4jBSco0AuoSUtIqqafW5ANWcxAPW%2041EAZ/Od2Hvjl95kpve96egeBjOeccEuBWAyjSraRkbPXa0jFJ5UgIbqJ3DIFf+r9ZqeHCFRXBrz%20SlCDI6LP7CoZd22H+Q9XTPEEzYuBkq96G4ntMe5xgXFZZawSTcaL6S92+s66MYUirDEJ9rlBP/Db%20sC9HLfALoTVGJz4QGhQBA21MAj8w4K5SZ556bS4IGIpAgxmWKr6oryjOiUPlZW8D9Hyyj79OrxjF%20yb4gSC+8Rg5vuecuPiFo6sZdGFAg/4bSVc3Al5TEA7XCfoQDDpgSKUG4LH1oon3AwMLIFujsfeRm%20GES2t30ZbGIT3vTd/GvFYYwtbXga//o8/OYaQbKyWkW5PRyiL/6YhPoOwkNuwNFOjAbWwUd8ZgCN%20SPUIAqeQYNpOALAeUEZoTyDQ5BtowyrAQNf0bM4wELkGT7nqj/ju7/gs4+kgRRtawj5igH1Mi2eY%205FHirwALYjDMwQWWp44wY2NsQ3ZIMAIH4i4iLwbwTFtIUKnQjzhSBpUiIwaIgNpigN0kZQiBT/hQ%20MJNUUP5Y8EjuiDkEwAUUTHJu4wZxcPMIK2fMYY1qIAnaaCpqo/eiJg0xsAj/IRwYQP+GPm8FlpAJ%20+Ym2QORTAMofEBAD+mQF2A8Lb8b8trAOycILNQ0MV2IbEucEXmMBVuAG5kQA84ZwLtDocpAgXAEe%20/GELXAAOyMyaTqZwHiQQ8xAjGqD1FiAGOvGCYscRUW/uCNFH5uIfzAEJGmAKmMFf4M/yYNH7IBHf%20lk7fFK8SO23haqAMxiEVb0AnuiwZCUcNNYYNE6KquIGgTKYBy05QMEhBiBD8DMIuaoChtsArRPEc%20dfEOA08Du4Eqcsj9TgA8GsAFygAZFY0bpY8Z8ynf8G/S9O8gKmYdhKAGmocGehCPMOJiAlFG0iur%207oIb2iEmYgAMOMGyHAJNENIi2Wz/HQuCGyQIfh5SiNrjLtKxJN+iF62CiLypg/KOCPJjAW4gCmMy%20IeeP8Liw3yax6aLxIOQhHWBLAKhB11oNDv7hGuahYnxSsNbQL9qpQIgAouBqRB4iPKjSPPIQDgSA%20FnprE2dGcWASLI9uEGlyHfDqTcLhxKSAFqSgEoAgEtdykoDyBPMS6g5yBTltIcVBCLDNBZDgNVoC%20a95SL5HIKrOKN9qhB1wgxeBgHApiG3KsMdtCFgfhMGHGJhtELTfTj5IFaN7Em6ag4czCLkhT3Eyw%200vzSKogSGgXTIICmoQpmQE5Aj65hKl2z0x5TkTAiLTiBG1xgr6DmWwzDHIHzl06S/yBuoAa4YRAc%20LQmOqiwGxzkLCFkCoybpg4dqIDtExgX6AQi28+Zg894M0hlJ8s8UsqTYoR/i7RvAgApiIAYwoCyy%20gR3kUS8xssQ6SAhWoB0GgQqspBbmhJLKDzjFkkCehXlmrjbqET1n0h9OzR12Qwi4yR9Wi31sCD0p%20Qz2Tzv4A8wttM26wgQAk6CEr4Rs8Q0dUNEQNAkDbaTynTgomUwDGTspmFCHyUDn2RQCq8wS65vJm%20VANbRiJaRgj4hAbsxgKqbsR8NPhGdPi60EQpEUUJwmPuIq7ykwFKoEiLDFOoVOe8sUEGzB1K4D4b%20oElrgTkPyEyf80r/gRu86lSwwf8zMI9KLRThQotuBMBAOJFBgbMgz6o9A7MF5QFOGjITy8KUfEdT%20iohKAXTAILUIkKIG2EAyarBQSTMP26EdMtEskEAITsM/9VID/UEedsMlb0CIFqoB8mJOCeJQmStR%20T7QFKZTjzDS9NOJCwK1WE0IWvUlZhrVJnLB7UrVCrVQouYY2MxA+6+sc5/RXM+n3kPUgitUltRUq%202vJTvfVWlQ7xnlFakc9bqxJN0/U2ZDHK2HVzmOoM4dVYnFU2iy+tzDX/0JVeg+Ja+zUs8vCDAHZz%20unNeCdZW7bUZy9U9ZXJa5zFd/5UndpFd3ZVizW1OLTTreDVEx7VEc1VLW3BGmNX/NSV2ZI/UWwX2%20GoTJcMJ1LTUQYklWVRWWPRlWUUERsobVZHdnICsWOgciFL+MQVwWLDV2YpWxVj02BbO0KLd0ZHu2%20VncWaNFRZhv0Z3WFZQ9jenwUZu0Qa5FVabEUZJtWZDUosu4lN1oiOHDEAkQKQVCJ0PSCJrDDm8ol%201YDqKw8HGG/ocPzHR6jMMPxHLKDWNqS2Wg3iFKvjGxgn1iJjSpctXiiFyxCkToTAQ1rLJmliNbwJ%20asyBVofptr7BMe7FZzZLZ/Kw3arUsMJDIGhFdK2C5KAStmCLJrYKKbzpaJRTo8JhIMIBG8xwlow2%206AzicPDRHxhmiwiCAY7GQ1pi/+wo9x+UUzI4x9N6s4PMAnv1yAIOxBXSVvNspmoFjy9jc2GNT1cF%20RyEgIxVqIIdIjXcLgnNeRBYY4CJogqEsAAOG0SywowZAzEN4t6P+4ete8HUEoiMMmOMIV111Z3jZ%20EYcwYFPBRCDMoS88Lm1vIi+UEz1sIvRIDiPCgQaqCjuEBQmKQAjotie3oRaqDUcQQ3QRQynS43Sv%201mwLAh5whAZSgWGiqko7IiZkoQy+4bW8KW0uRAhoAAm4yBVcQIwmuHdxhHPoqWvzBiFI7TAwgA22%20AJW+oRZSoXGDMYotoJPcLxuaI2Ui4kJq125vIAnmIQkagA2KwBxG4B9s7xL7Iv9fRGgF6e9eo3Vf%20jVJGboQ0xuw+LGCF7yLVjpcPt4ANrCuPvIkI9koAABJOuuLbsCMRywADSiBUcqoo8KYyBjeDCNAq%20U5cgUAGVakHdjowBGOpP3ePbjooBcgMgt2GNUGQdbAiTnaaU8miTBw57CaA5rqEIpgAvssM9TjiQ%20UkM2jaZOTbmc5AXPxNQciIAGJgyREbAM2IAIhAA8jqqIsxckgqsWToAZ+teU4ISWfecudDd4lRWa%20C2IEnjSx/rAMSsBNK8w9wGNcsI1FuIH81mEKWocbCAA7WEP84AQ75IYZhCAGQK8EGOZoGIY0tKFh%2033N81xNRbfZ8L+gg8PEbqKD/BOphC2SBGRaABmoADKZAworgPtlgCpasf08ARUwkBrABI06gCOQM%20CeYBA+5ok6kgJ4v0P4qgCPSiK5JAS1JmcEZzgdGqgQ/iWQigDJLwBIqUAUAPiHbaAmCjCMjPBU7g%2082qgCBoujrHhBrpiyYAADJqAbsM6CZo0pyWqCGghBgigBlxAGxpArf0BCWqgJDYEMYhWIVA3qrcE%20wZIMFbQBA+4TiWuBCCRsCg70pw/EOU7AFd4sDqk6CWphZpCtBqTgH76aAE7ABWLam4XqBEzrnQ3W%20ZbvEAgYD104xdf6hdbagCHQarMW0yEyi9WhxzjDABdA6CYp0L4RbiArsBCSM/wakoAxYBwOqjayL%20wAUOhzmmoLEuut5odqPNN2QbcVnqYSvMZAte5QTyWnks4AT07CEx4AZaLQlmBhvcBy9sgbTgLAYY%20IHXAYI2aIIgWoAxwrQT2LhUWgH1iwDBIDmnNw3A15yBcIRtqIQZ8V7dOAMAt3MKxZAUOjQpPZJX1%20jHmibRHfpwTmDAjW+/kaTIas0NEirAj65UXi+33epwE28VlO4itTj4ZreCC2oB6Upxb8gQ2uZbUt%20XAAsoK1LwAUWYAuWBkbIr9AqCwPc58gIYAWUegFc5QTAYNcWIAk61IeoAHjrCZ55XG+V4ASogAC6%204Un3hU/MbDm0Y8CT4Bo2Uf9kqoQZ1KLtUkeiCuahBCB5rIQTH9K7xHoFavxKpGB9BIBNG4BMAxKj%20Kyko+5hpa7NsqRghwGSymCEGssGyGA0JSqAJtoABFgADgOBUWmpT7uLPHwml1+HI2KAJXNnC/eFQ%20LCB1rgEEkYAZCKDAOyJymjp86aqUDxuHBKIImKHIzHkLFkAr8JkZdD3LIXgrLAClRYsNcG0dpgnX%20UKU9kIAKLIsCiaAfLBwJFB22luaareSt+uEGmGFpvoMZqi0fKUVNDBvTDRDBVqCyrFwAXKIGmGcL%20mn3gpaDAEJyfzSF1ysAFmoANzIEKuMmaY6AMULoHwwFLUD2ISkSKwZXHCcb/9lKBGVDBAhqACvbF%20BYogBq4hdQ7tUErgG2LgBCq+Bs59QDt7AXC6XPzB0RjgSf8BCKjABazFVcg6vxcgFVBdTIp7BbDB%20td7jC/m4fPNVu1+TXwP5IL4BHjijHDCAFsyB0U3EsqQACBigCWqgHVI9BnijDLbhyEKuxrdgGyJP%20twokJZugHZQDCJqHG3a919mAGXotmEb5Iovd2BfDVAzESoDAVErmBqRAO3ZS7yZZChqgDMi+AZiB%204UVNCmYGp9R7RLR47/5jUUqLoeQyU9lnvQXq7FfABdKBK6Cv6ncC3/MdzIKRM1Cc0bkhdUyl7JsA%20CUodDgY8VIpmOWxdCnJD/wqUYwp6EA5igAYs/BqosB0mSDw7Xl6JtkY6cEWlABX+4cievwakv1Rw%20zdFAbAFc4BqkAAkqfumTINpZqR2i9N+RgBbq4uzP3drDesMBQoqLMlKQlGAm4MS1hQyu/XsIMaLE%20iRP7PdSWLZvFf/4ebqRI0V9Gix39ufq3DqTKlRu1Eci2MmZEbCrZEKklIEY3ME1cxFhBpMmgMjFK%20uGgCp4GUElNu+PO3YoW3a1uoYBBXYoWrBSWINGjQBEyRJkBqSCGyAMyNBUhSMWNjMeU/mtjq0pQZ%20U9vDkRzxQrw78du/WlRwLqjBDQkVKYml3EAipcaCJCsWMGiCBOwNGpbBxP8gKqAEhoVgpDDo901K%20kn4NqDBYESOJwgUr4KwoASeGgNtwFhSxsMBYPY8f/a7MRsCj8ZWAI3ZkU6JW5W4lFhwlQoQKEAZn%20XUgBQmNpEQbmwt2Gt4XrT22xOd+IIXYBNzDyKwsgAmS5for9CKTsV9JyzUH0zTf+dHNCE0xZF44U%20J9B3TVZH0UcEN7ERVINSSAAFWQklNHTNCgKcFkNRMTDgAjPAgeFeDDUAIVBOMbiAwTjXCOHQfiC1%20xFdf/xQnk0ga9WUSSjqCpI1F/cF0pEQDPmTSCUkUIcs/W7hwQg00yAYEEA2ccAISWzCwxRQnJJdN%20DUhkgw0GSLyEAQbr3CD/FhAWuFAEEi60c00NSdBA3gkWyEIDTNvMZNeT+5GEXEdAyvQkPBxhUAsR%20JzTAEBVgbHeCl2J+CUYNQtDQQBkZluFCYjWsU0YRRWzhDzw3pMKAPxaQ6s8NLpjAQBG13GBBDUU0%20gEEN4TQgFgNlIYHNCXJe9OiR62Skl49NPqSoPwScYKYsudLgQg0uJOECENcgUUSYXTYwBQ3miERD%20KuGYU0YtU5SXipgnMIBEDQzQAES/DfimGA3X7ocRk/1EG9OT/XTTzwhsFDFFEpjyu0UDNfTZwBbo%20goHEPDTccIO/Zew7shDoDmSrm99000ARSQCByg3EYtCAruOcsEU7agpU/wQVIc9zDQMHe6RNR/8k%20XK0/SeonJEkcnSTX0Usr+ZLVikY0wghPLQS2nWFbAPY12zC5tDY0bUOAXmf/c40FZC8UTjtzW2Du%20QskV+Q/adNl1NKPZOCpgTOGQ7U/cRG0cd9x8XmP3Qnm7sxCOZcudoz/mWMCROeY8XGs/ntMNYt7h%20hEM36tso7TTD+02bTdNHK/rRCN10tFDicaN+zekLLRz3oQ8VCJE5J/3zbtGQk5130VHllJ/VfvWT%20EXH6bQ1RrPDYKrniZXOD+Y0LUX5NGdyPD/Y/cj/lzzcjAMgR+92Yy4CNZBKh2wq2cMPNQlb7A7+l%20UQtKATRO1IhENen9SP9J1dPaRMwhGB+hpiIF/AfxDvgUiHxkYQ8Jh2Da174IWjAcE0HbXBJ1NKW9%20zVp+eZKtSHgN3X3DAv2oAec6QkILfsRpF3nIOsxxkZQ8pRsaLAkQbeUREAKwg0tsXw45Zz0FamMb%2025Dd7B4IpG88ygIeHJ6BNmKOpz1EeBcRngUAaBESQpEBX0mOAvFCPeEt8XoTscDmoDSRp5BkghCx%20gFyqBcTsQYkAQ7zjjwoEpMQp8hrzEEKcyCcOISjtYABUWj+ouJFKQo0vJUmg9OB3ydVdMSTf0IYW%20h9cRCyRNfdlDDYBaso6W+LBah0JkPywQQS3i0EDIE542qjWXE9YlhbP/xKNxsMeRb3gwhhJxBWo6%20MsOH0FA5mgRQR34JTQMFyEfdOOWPnuLNEE6SI9pYBzBdt5x+rMOcxrxWtn4kNygJ5par5BwvdVlK%20j4jwRxLhIPzm2cGI7PONIPHHOsg4Trxgj4gWfJk4+2hNNGYQfkl6yir7sUoQWhCKFoBY9rp5DXNc%20Q5n+4Ebi1uEPd5xUHP8LoDrFqMnlYHBqRpIe67DpQAMmlH3Zq1pMSFKSVUbkdhAhYuv+QcZEIVM/%20HNQR9tqXOyjx8FC3S2g//oaNq2bVH3WpIk3KWcSaOieoQ1XaL/kDzGthtKIKdFgeVULUSW6DLsGs%20y8L+lrQMZrAbenGa/zbqMTiCyuSsTVoqHkWphGtGhLB41apF7EoXMU4PWth4Rxe8QQBseAMb57Bp%20KwuYULzMtEg+tenC0NlCipiSiKj5IE79OsUqlkQJQVTSoZraF20YVbewnWJJCAkl4ckFq4YV7ES2%20Vsp+xLB3efXRU7YhKaTSdq5TxOhcz6ENcmjjHAtL69U4ErsFomSKRPxlN6p4O/PyEEo4/V8lQ3sk%20RW3DqAW6phI2QkWkMmkbtFVbKO3Kpm0szKsY9Ydsk7aN40GEjMYt6DjhqxL5WmC+AOpm/NLGXiVU%20CyMDxsY23uHhfpxjG+f4ahf6NqRyvvKXSfoIk9aRVaVm1hsNTiEnaf9aWmIqZ5QVMaZWlQrkRD32%20hHeN8VzIURckZxXJ/VByXZQAj5d5E1GAq/ExV7Lcb5BDyVftRxeEjA1y/DjIYU5Uie3qZDIDecsx%20tstLfxlLwWZQetjDbZt/zOYuJ2obTt6smssMWWx8oQv1UEKYrQxHOirULkwOcpOfnOREpdnQifLG%20mJWK3blKmrP0oAcovEFjBc5ZqkcarSdFrUEeS2TKM4wxOe6r1FeL2cNqo8k71Hbm7f7t1ZDVKpO/%20gGRSq/MvwiwuohUVwVsmDxuGRnIXrjrrQANaydROcpqd/A4QezjNSYa2m5N834rkmJJ03pFALcDo%20ayuBzcz2xjb8/I7/EvvZz+ewNJLXHeN1J5Ycz/4ComWCWiex5GXY8jazo83semTV0Aov87WVfOY2%20kznY2ND1memhWVC/gx5vHPWFdXTAHx20ilJln8lPjvKUq3zlLG+5y18O85jLfOY0r7nNb47znOt8%205zzvuc9/DvSgC33oQs/GNuLstLMR4CUZabrTnw71qEt96lSvutWvjvWsa33rXO+6178O9rCLfexk%20L7vZz472tKt97WtfehU3os6zsX3udK+73e+O97zrfe9877vf/372WEKY6IQvvOEPj/jEK37xjG+8%204x8P+Z1LhK3/rrzlL4/5zGt+85zvvOc/D/rQv1UikS+96U+P+tSrDH71rG+961l+WgAFBAA7" height="310" width="605" overflow="visible"> </image>
            </svg>
          </div>
        </div>
        <div class="fig"><span class="labelfig">FIGURA 7.&nbsp; </span><span class="textfig">Valores de los ángulos de rozamiento y resistencia a la rodadura de los granos de maní (Variedad Criolla).</span></div>
        <p>Para
          el caso de la fricción o rozamiento por deslizamiento (estática), los 
          mayores valores del ángulo de fricción se observaron cuando los granos 
          se deslizaron sobre superficie de caucho (goma) y de madera con ϕ= 35,7 ±
          0,10 y ϕ= 22,9 ± 0,12 grado, respectivamente. En ambas superficies los 
          valores fueron significativamente superiores (<span class="tooltip"><a href="#t6">Tabla 3</a></span>),
          en comparación con las de aluminio y acero inoxidable respectivamente 
          ϕ= 35,3 ± 0,075 y ϕ= 22,9 ± 0,075 grado, respectivamente. Estos 
          resultados concuerdan con los resultados obtenidos por varios 
          investigadores (<span class="tooltip"><a href="#B15">Olajidea y Igbekab, 2003</a><span class="tooltip-content">OLAJIDEA, J. O.; IGBEKAB, J. C.: "Some physical properties of groundnut kernels", <i>Journal of Food Engineering</i>, ISSN 0260-8774, 58(2): 201 - 204, 2003.</span></span>; <span class="tooltip"><a href="#B1">Akcali <i>et al.</i>, 2006</a><span class="tooltip-content">AKCALI, I. D.; INCE, A.; GUZEL, E.: "Selected Physical Properties of Peanuts", <i>International Journal of Food Properties</i>, ISSN: 1094-2912, 9(1): 25-37, 2006.</span></span>; <span class="tooltip"><a href="#B10">Iraj <i>et al.</i>, 2011</a><span class="tooltip-content">IRAJ,
          B.; SAYED, H. P.; FATEMEH, R.-A.: "Mechanical behavior of peanut kernel
          under compression loading as a function of moisture contents", <i>Elixir Agriculture</i>, ISSN 2229-712X, 36: 3552-3557, 2011.</span></span>).</p>
        <p>Los
          valores de registrados de ϕ para las superficies de acero inoxidable y 
          el aluminio no mostraron diferencias estadísticamente significativas 
          para nivel de confianza del 95%. La magnitud de los valores observados 
          concuerda con las encontradas por otros autores en otras variedades de 
          maní (<span class="tooltip"><a href="#B1">Akcali <i>et al.</i>, 2006</a><span class="tooltip-content">AKCALI, I. D.; INCE, A.; GUZEL, E.: "Selected Physical Properties of Peanuts", <i>International Journal of Food Properties</i>, ISSN: 1094-2912, 9(1): 25-37, 2006.</span></span>; <span class="tooltip"><a href="#B10">Iraj <i>et al.</i>, 2011</a><span class="tooltip-content">IRAJ,
          B.; SAYED, H. P.; FATEMEH, R.-A.: "Mechanical behavior of peanut kernel
          under compression loading as a function of moisture contents", <i>Elixir Agriculture</i>, ISSN 2229-712X, 36: 3552-3557, 2011.</span></span>; <span class="tooltip"><a href="#B12">KURT y ARIOGLU, 2018</a><span class="tooltip-content">KURT, C.; ARIOGLU, H.: "Physical and mechanical properties of some peanut varieties grown in Mediterranean environment", <i>Sciendo</i>, e-ISSN 2067-1865, Vol. LI(2): 27-34, 2018.</span></span>). Aunque los valores obtenidos para la madera fueron menores que los reportados por <span class="tooltip"><a href="#B15">Olajidea y Igbekab (2003)</a><span class="tooltip-content">OLAJIDEA, J. O.; IGBEKAB, J. C.: "Some physical properties of groundnut kernels", <i>Journal of Food Engineering</i>, ISSN 0260-8774, 58(2): 201 - 204, 2003.</span></span>; <span class="tooltip"><a href="#B1">Akcali <i>et al.</i> (2006)</a><span class="tooltip-content">AKCALI, I. D.; INCE, A.; GUZEL, E.: "Selected Physical Properties of Peanuts", <i>International Journal of Food Properties</i>, ISSN: 1094-2912, 9(1): 25-37, 2006.</span></span> pues en estos casos encontraron valores de 24 a 26 grado.</p>
        <div class="table" id="t6"><span class="labelfig">TABLA 3.&nbsp; </span><span class="textfig">Pruebas de Múltiple Rangos. Método: 95,0 porcentaje Duncan</span></div>
        <div class="contenedor">
          <div class="outer-centrado">
            <div style="max-width: 1160px;" class="inner-centrado">
              <table>
                <colgroup>
                <col>
                <col>
                <col>
                <col>
                </colgroup>
                <thead>
                  <tr>
                    <th align="left"> </th>
                    <th align="center"><b><i>Casos</i></b></th>
                    <th align="center"><b><i>Media</i></b></th>
                    <th align="left"><b><i>Grupos Homogéneos</i></b></th>
                  </tr>
                </thead>
                <tbody>
                  <tr>
                    <td align="justify">α<sub>d</sub> - Acero Inoxidable</td>
                    <td align="center">50</td>
                    <td align="center">8,39</td>
                    <td align="center">X</td>
                  </tr>
                  <tr>
                    <td align="justify">α<sub>d</sub> - Aluminio</td>
                    <td align="center">50</td>
                    <td align="center">8,4</td>
                    <td align="center">X</td>
                  </tr>
                  <tr>
                    <td align="justify">α - Aluminio</td>
                    <td align="center">50</td>
                    <td align="center">9,72</td>
                    <td align="center">X</td>
                  </tr>
                  <tr>
                    <td align="justify">α - Acero Inoxidable</td>
                    <td align="center">50</td>
                    <td align="center">9,72</td>
                    <td align="center">X</td>
                  </tr>
                  <tr>
                    <td align="justify">ϕ<sub>d</sub> - Aluminio</td>
                    <td align="center">50</td>
                    <td align="center">13,51</td>
                    <td align="center">X</td>
                  </tr>
                  <tr>
                    <td align="justify">ϕ<sub>d</sub> - Acero Inoxidable</td>
                    <td align="center">50</td>
                    <td align="center">13,54</td>
                    <td align="center">X</td>
                  </tr>
                  <tr>
                    <td align="justify">ϕ - Aluminio</td>
                    <td align="center">50</td>
                    <td align="center">14,72</td>
                    <td align="center">X</td>
                  </tr>
                  <tr>
                    <td align="justify">ϕ- Acero Inoxidable</td>
                    <td align="center">50</td>
                    <td align="center">14,73</td>
                    <td align="center">X</td>
                  </tr>
                  <tr>
                    <td align="justify">α<sub>d</sub> - Madera</td>
                    <td align="center">50</td>
                    <td align="center">16,48</td>
                    <td align="center">X</td>
                  </tr>
                  <tr>
                    <td align="justify">α - Madera</td>
                    <td align="center">50</td>
                    <td align="center">19,97</td>
                    <td align="center">X</td>
                  </tr>
                  <tr>
                    <td align="justify">ϕ<sub>d</sub> - Madera</td>
                    <td align="center">50</td>
                    <td align="center">20,64</td>
                    <td align="center">X</td>
                  </tr>
                  <tr>
                    <td align="justify">ϕ - Madera</td>
                    <td align="center">50</td>
                    <td align="center">22,93</td>
                    <td align="center">X</td>
                  </tr>
                  <tr>
                    <td align="justify">α<sub>d</sub> - Caucho</td>
                    <td align="center">50</td>
                    <td align="center">24,41</td>
                    <td align="center">X</td>
                  </tr>
                  <tr>
                    <td align="justify">α - Caucho</td>
                    <td align="center">50</td>
                    <td align="center">25,98</td>
                    <td align="center">X</td>
                  </tr>
                  <tr>
                    <td align="justify">ϕ<sub>d</sub> - Caucho</td>
                    <td align="center">50</td>
                    <td align="center">31,44</td>
                    <td align="center">X</td>
                  </tr>
                  <tr>
                    <td align="justify">ϕ - Caucho</td>
                    <td align="center">50</td>
                    <td align="center">35,73</td>
                    <td align="center">X</td>
                  </tr>
                </tbody>
              </table>
            </div>
          </div>
        </div>
        <div class="clear"></div>
        <p>Este mismo comportamiento se observó (<span class="tooltip"><a href="#f14">Figura 7</a></span>), durante la determinación del ángulo de fricción dinámico (ϕ<sub>d</sub>), pues los valores mostrados variaron de ϕ<sub>d</sub>=13,51 ± 0,07 grado (superficie de aluminio) a ϕ<sub>d</sub>=31,44
          ± 0,13 grado (superficie caucho). En este caso los valores del ángulo 
          de fricción dinámica observados fueron ligeramente superiores en la 
          superficie de aluminio que en la de acero inoxidable, aunque está 
          diferencia no resultó significativa desde el punto de vista estadístico 
          para un 95% del nivel de confianza (<span class="tooltip"><a href="#t6">Tabla 3</a></span>). Resultados similares fueron encontrados por <span class="tooltip"><a href="#B13">López (2015)</a><span class="tooltip-content">LÓPEZ, A.: <i>Determinación
          de las propiedades físico-mecánicas de los rizomas de Sagú (Maranta 
          Arundinacea, L) requeridas para el diseño de las máquinas extractoras de
          almidón</i>, 71pp., Tesis (en opción al título académico de Máster en 
          Ing. Agrícola), Departamento de Ing. Agrícola, Universidad Central de 
          Las Villas, Santa Clara, Cuba, 2015.</span></span> durante la determinación de las propiedades mecánicas del Sagú. </p>
        <p>Los
          resultados de la determinación del ángulo de rodadura estático 
          mostraron valores superiores (α=25,98 ± 0,11 grado) para la superficie 
          de caucho en comparación con el resto de las superficies investigadas (<span class="tooltip"><a href="#f14">Figura 7</a></span>),
          los menores valores se observaron (α=9,72 ± 0,09) para las superficies 
          de acero inoxidable y aluminio. La comparación entre los ángulos de 
          rodadura observados en cada una de las superficies ratificó que existen 
          diferencias estadísticamente significativas entre los valores 
          registrados en las superficies analizadas, excepto las de acero 
          inoxidable y aluminio que mostraron los mismos valores (<span class="tooltip"><a href="#t6">Tabla 3</a></span>). </p>
        <p>Finalmente, el ángulo de rodadura dinámico (α<sub>d</sub>), mostró una respuesta similar al resto de las variables analizadas para cada una de las superficies (<span class="tooltip"><a href="#f14">Figura 7</a></span>), pues los máximos valores se observaron en la superficie de caucho α<sub>d</sub>=24,41 ± 0,08 grado y los menores para la superficie de acero inoxidable α<sub>d</sub>=8,39
          ± 0,11 grado. El análisis estadístico evidenció que no existen 
          diferencias estadísticamente significativas entre los valores observados
          de este ángulo en las superficies de acero inoxidable y la de aluminio 
          para un 95% del nivel de confianza (<span class="tooltip"><a href="#t6">Tabla 3</a></span>).
          Sin embargo, estos valores poseen diferencias estadísticamente 
          significativas con los observados en las superficies de madera y caucho 
          respectivamente.</p>
      </article>
    </article>
    <article class="section"><a id="id0xbcd8f00"><!-- named anchor --></a>
      <h3>CONCLUSIONES</h3>
      &nbsp;<a href="#content" class="boton_1">⌅</a>
      <p>Las
        propiedades físicas de los granos de maní de la variedad Criolla, que 
        caracterizan su, tamaño, forma y masa, mostraron que para la variedad de
        maní investigada los valores más probables, son: m=0,26 a 0,6 g; L=10 a
        15 mm; d=5,50 a 9,1 mm;</p>
      <p>El ángulo de fricción por el 
        deslizamiento y el de rodadura sin deslizamiento mostraron los mayores 
        valores para los casos estáticos, en comparación con los dinámicos, 
        independientemente del tipo de superficie de deslizamiento o rodadura;</p>
      <p>Las
        superficies de deslizamiento de acero inoxidable y aluminio fueron las 
        que mostraron los valores más bajos del ángulo de fricción estático y 
        dinámico (ϕ=14,731 ± 0,07 y ϕ<sub>d</sub>=13,51 ± 0,07 grado). Los 
        máximos valores de estos ángulos se observaron durante la utilización de
        la superficie de caucho con ϕ= 35,73 ± 0,10 y ϕ<sub>d</sub>= 31,44 ± 0,13.</p>
      <p>El
        ángulo de rodadura estático y dinámico de los granos de exhibió una 
        respuesta similar a la observada en el ángulo de fricción en cada una de
        las superficies de rodadura investigadas, alcanzando valores máximos en
        la superficie de caucho (α=25,98 ± 0,11y α<sub>d</sub>=24,41 ± 0,08 grado) y valores mínimos en la superficie de acero inoxidable (α<sub>d</sub>=8,39 ± 0,11y α=9,72 ± 0,09) grado.</p>
    </article>
  </section>
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