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                <text>Mercados municipales y tecnologías digitales: entre el e-comercio y nuevas formas de convivialidad</text>
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                <text>Juan Robles</text>
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                <text>Los escaparates virtuales, la venta online y la puesta en valor de los circuitos de producción cortos y agroecológicos a través de eficaces políticas de comunicación en las redes sociales son ejemplos de lo que hoy están usando muchos pequeños comerciantes para poner en valor su expertise tradicional, paradójicamente basada en la cercanía y el trato directo. en este artículo analizamos el papel de las tecnologías digitales en la re-significación y re-activación del pequeño comercio y de los mercados de abastos tradicionales. el uso de tecnologías digitales pone en entredicho la visión de Internet como agente de desterritorialización y de creación de una cultura global, ante la presencia de nuevas formas de localización basadas en la emergencia de nuevas formas de convivialidad, agroecología y alimentación saludable.</text>
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                <text>2014</text>
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                <text>Anthropologica</text>
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                <text>Pontificia Universidad Católica del Perú</text>
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                <text>Geography. Anthropology. Recreation, Anthropology</text>
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                <text>&lt;a href="http://revistas.pucp.edu.pe/index.php/anthropologica/article/view/11329" target="_blank" rel="noreferrer noopener"&gt;http://revistas.pucp.edu.pe/index.php/anthropologica/article/view/11329&lt;/a&gt;</text>
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                <text>O moderno agricultor familiar no Uruguai</text>
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                <text>Juan Romero</text>
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                <text>A modernização operada no Uruguai, constituída pela integração agroindustrial e pela formação de complexos agroindustriais, é uma imagem do que ocorreu nos países mais desenvolvidos na matéria. Devido às características no uso dos recursos básicos, é possível haver na agricultura diversas combinações de fatores de produção e diferentes formas de organização social. Essas combinações de fatores, associadas à formas específicas de organização social, levam à formação de complexos culturais ligados à produção agrícola. As novas formas de produção agrícula dos atuais produtores familiares, adaptadas às dinâmicas condicionantes do processo de modernização, geraram um novo tipo de agente e de cultura produtiva no cenário da agricultura uruguaia. Essa nova organização e adaptação produtiva por parte dos agentes sociais da agricultura redimensiona seus problemas; sem eliminá-los, razão pela qual se torna necessário redefini-los</text>
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                <text>1997</text>
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                <text>Agricultura Familiar, Sociologia Rural, horticultura uruguaia, processos de modernização agrária</text>
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                <text>10.11606/issn.2176-8099.pcso.1997.75900</text>
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                <text>Plural</text>
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                <text>Universidade de São Paulo (USP)</text>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Sociology (General), Social sciences (General)</text>
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                <text>&lt;a href="http://www.revistas.usp.br/plural/article/view/75900" target="_blank" rel="noreferrer noopener"&gt;http://www.revistas.usp.br/plural/article/view/75900&lt;/a&gt;</text>
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                <text>Hábitos alimentarios del gato montés (Leopardus geoffroyi) en agroecosistemas de Buenos Aires, Argentina</text>
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                <text>Juan S. Guidobono, Jimena Muñoz, Emiliano Muschetto, Pablo Teta, María Busch</text>
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            <description>An account of the resource</description>
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                <text>La abundancia del gato montés (Leopardus geoffroyi), un pequeño felino silvestre sudamericano, se ha reducido principalmente por la destrucción de su hábitat y por la caza. En la Argentina, la mayoría de los estudios sobre la dieta del gato montés se llevaron a cabo en áreas protegidas y en sus alrededores, mientras que no existen estudios en sistemas puramente agrícolas. Describimos la composición de la dieta de L. geoffroyi y sus variaciones estacionales en un sistema agrícola con el fin de contribuir al conocimiento de su ecología e historia natural. Desde la primavera de 2008 hasta la primavera de 2011 analizamos un total de 494 heces e identificamos 695 ítems presa. La dieta incluyó 81.6% de mamíferos, lo cual representó 93.3% de la biomasa potencialmente ingerida. Entre los mamíferos, la presa principal fueron los roedores, que representaron 79.6% del total de los ítems presa y 59.4% del total de la biomasa potencialmente ingerida. Los pequeños roedores significaron una gran proporción de los ítems presa, mientras que las especies de mayor tamaño, como el cávido Cavia aperea, contribuyeron mayormente en función de la biomasa ingerida. La plasticidad de la dieta del gato montés podría permitir la persistencia de sus poblaciones en ecosistemas variables y antropizados.</text>
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                <text>2016</text>
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                <text>dieta, ecosistemas agrícolas, mamíferos presa, pequeños felinos silvestres</text>
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            <name>Identifier</name>
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                <text>10.25260/EA.16.26.1.0.83</text>
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                <text>Ecología Austral</text>
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                <text>Asociación Argentina de Ecología</text>
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                <text>Environmental sciences, Ecology</text>
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                <text>&lt;a href="http://ojs.ecologiaaustral.com.ar/index.php/Ecologia_Austral/article/view/83" target="_blank" rel="noreferrer noopener"&gt;http://ojs.ecologiaaustral.com.ar/index.php/Ecologia_Austral/article/view/83&lt;/a&gt;</text>
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                  <text>Agricultura sostenible</text>
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                  <text>Dominio científico: Agricultura sostenible</text>
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                <text>Memoria local y afrontamiento de desastres climáticos: el caso de liderazgos de mujeres en Nonguén</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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                <text>Juan Saavedra, Casandra Rubio Carrasco, Karina Valenzuela Contreras, Víctor Balboa Jiménez</text>
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                <text>El objetivo de este artículo es abordar los saberes locales de las mujeres que inciden en el afrontamiento de los desastres relacionados con el cambio climático. Se estudió la producción de memoria local respecto de las últimas grandes inundaciones en el Valle Nonguén en Concepción (Chile). Se examinó el modo en que las mujeres generaron respuestas adaptativas en los desastres de 2005 y 2006, tanto para sus familias como para la comunidad. Mediante un estudio cualitativo, se entrevistaron a 20 mujeres líderes comunitarias durante estos eventos. Los resultados indican que las mujeres líderes expresan roles diferenciados que surgen en el territorio, distintos de los habituales tradicionales. Si bien es un estudio acotado al caso Nonguén, sus resultados pueden compararse con otras comunidades en América Latina. El interés radica en el hecho de que las mujeres conservaron esta memoria sobre desastres, la que fue útil para enfrentar situaciones posteriores en ese territorio.</text>
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                <text>2019</text>
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                <text>Cambio climático, Chile, Flood Prevention, Memoria Colectiva, Mujeres, Women, climate change, collective memory, comunidad local, local community, prevención de inundaciones, roles sociales, social roles</text>
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                <text>10.22198/rys2019/31/1240</text>
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                <text>Región y Sociedad</text>
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                <text>El Colegio de Sonora</text>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Social Sciences, Social sciences (General)</text>
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                <text>Se propone una estrategia de integración del modelado y simulación con dinámica de sistemas a la formación en agroindustria ofrecida por el Instituto de Proyección Regional y Educación a Distancia en la Universidad Industrial de Santander. El diseño y la aplicación la estrategia se realizaron mediante experiencias-experimento, con docentes y estudiantes, en la asignatura de Manejo de Nutrición Animal del programa agroindustrial. Tales experiencias giraron en torno al uso en clase de ambientes de aprendizaje para complementar el conocimiento teórico mediante experimentación simulada que permitiera acercarlo a experiencias reales en campo. A partir de las experiencias-experimento realizadas y de la estrategia planteada es posible concluir que los ambientes de aprendizaje permiten desarrollar capacidades de toma de decisiones apoyadas en escenarios de simulación muy cercanos a la realidad de campo.</text>
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                <text>Juan Torres-Macho, Pablo Ryan, Jorge Valencia, Mario Pérez-Butragueño, Eva Jiménez, Mario Fontán-Vela, Elsa Izquierdo-García, Inés Fernandez-Jimenez, Elena Álvaro-Alonso, Andrea Lazaro, Marta Alvarado, Helena Notario, Salvador Resino, Daniel Velez-Serrano, Alejandro Meca</text>
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                <text>This study aimed to build an easily applicable prognostic model based on routine clinical, radiological, and laboratory data available at admission, to predict mortality in coronavirus 19 disease (COVID-19) hospitalized patients. Methods: We retrospectively collected clinical information from 1968 patients admitted to a hospital. We built a predictive score based on a logistic regression model in which explicative variables were discretized using classification trees that facilitated the identification of the optimal sections in order to predict inpatient mortality in patients admitted with COVID-19. These sections were translated into a score indicating the probability of a patient’s death, thus making the results easy to interpret. Results. Median age was 67 years, 1104 patients (56.4%) were male, and 325 (16.5%) died during hospitalization. Our final model identified nine key features: age, oxygen saturation, smoking, serum creatinine, lymphocytes, hemoglobin, platelets, C-reactive protein, and sodium at admission. The discrimination of the model was excellent in the training, validation, and test samples (AUC: 0.865, 0.808, and 0.883, respectively). We constructed a prognostic scale to determine the probability of death associated with each score. Conclusions: We designed an easily applicable predictive model for early identification of patients at high risk of death due to COVID-19 during hospitalization.</text>
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                <text>En paralelo a la pandemia por el nuevo coronavirus (SARS-CoV-2) que causa la enfermedad por coronavirus (COVID-19), emerge otra epidemia denominada infodemia. Esto provoca una saturación y sobreexposición a información de calidad variable y dificulta el acceso a la información confiable por el personal de salud y otros tomadores de decisión. A su vez, existen diversas formas de síntesis de información; entre las más conocidas se encuentran las revisiones sistemáticas, que pueden asistir a los tomadores de decisiones en la formulación de políticas y cuidados basados en la evidencia. En este artículo, se resumen algunas de las limitaciones en las revisiones sistemáticas actuales y los retos que acarrean las nuevas metodologías para la síntesis de la evidencia. Cochrane y otras organizaciones han liderado la innovación metodológica para favorecer el acceso y uso de la síntesis de información en COVID-19. Aparecen en escena las revisiones sistemáticas rápidas para dar respuesta a preguntas de prioridad alta en los diferentes países, se crea un repositorio de ensayos clínicos sobre COVID-19 y se pone en marcha un protocolo a nivel internacional para conducir un metaanálisis en red vivo sobre la efectividad de las intervenciones terapéuticas y de prevención en pacientes infectados por SARS-CoV-2. A nivel regional, se destacan la base de datos COVID-19 de la Organización Panamericana de la Salud y el registro de estudios primarios y revisiones sistemáticas de libre acceso (plataforma Living OVerview of the Evidence, L·OVE).</text>
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                <text>Juan Yang, Xiaohui Zhao, Xueyuan Liu, Wanju Sun, Longzhu Zhou, Yongbing Wang, Haijing Sui</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="84257">
                <text>Background: The COVID-19 outbreak, which was first reported in Wuhan, China, in December 2019, began to spread throughout the world, and now involves over 200 countries.Methods: A total of 37 overseas young and middle-aged people, who tested as SARS-CoV-2 positive upon their return to Shanghai, were enrolled for an analysis of their clinical symptoms, blood routine indexes, and lung CT images.Results: The clinical symptoms were characterized by fever (51.4%), dry cough (13.5%), expectoration (27.0%), hypodynamia (21.6%), pharyngalia (10.8%), pharynoxerosis (8.1%), rhinobyon (13.5%), rhinorrhea (8.1%), muscular soreness (16.2%), and diarrhea (2.7%). In 16.2% of cases, no symptoms were reported. Fever was the most common symptom (51.40%). The pneumonic changes referred to the latticed ground glass imaging and similar white lung imaging accompanied by consolidated shadows. The rate of pneumonia was high (81.10%). We found that the exclusive percent of eosinophils was abnormally low. By analyzing the correlation of eosinophils, fever, and pneumonia, we found that the percentage of eosinophils was low in the COVID-19 patients afflicted with fever or pneumonia (P &amp;lt; 0.01). Additionally, pneumonia and fever were negatively correlated with the percentage of eosinophils and eosinophils/neutrophils ratio (P &amp;lt; 0.01, respectively), but not associated with pneumonia severity (P &amp;gt; 0.05). Fever was not correlated with pneumonia (P &amp;gt; 0.05).Conclusion: A low percentage of eosinophils may be considered as a biomarker of pneumonia of COVID-19, but not as a biomarker of pneumonia severity.</text>
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          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="84258">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="84259">
                <text>clinical features, Viral pneumonia, covid-19, SARS-CoV-2, computed tomography, Blood index</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="84260">
                <text>10.3389/fpubh.2020.00368</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="84261">
                <text>Epidemiology and Health</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="84262">
                <text>Korean Society of Epidemiology</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="38">
            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
            <elementTextContainer>
              <elementText elementTextId="84263">
                <text>Public aspects of medicine</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
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  <item itemId="5976" public="1" featured="0">
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        <src>http://socictopen.socict.org/files/original/af80bebb0e7c4a868aaf1f183cba2549.pdf</src>
        <authentication>c49ae5519ae6dce4084ec269cdda46fe</authentication>
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          <name>Dublin Core</name>
          <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
          <elementContainer>
            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="1">
                  <text>Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
              <elementTextContainer>
                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
          </elementContainer>
        </elementSet>
      </elementSetContainer>
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      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
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        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="53287">
                <text>COVID-19 Reverse Prediction and Assessment on the Diamond Princess Cruise Ship</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="53288">
                <text>Juan Zhang, Juan Zhang, Gui-Quan Sun, Gui-Quan Sun, Mingtao Li, Rui Gao, Rui Gao, Huarong Ren, Huarong Ren, Xin Pei, Zhen Jin, Zhen Jin</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="53289">
                <text>As of July 21, 2020, the coronavirus SARS-CoV-2 had spread to almost all countries around the world and caused more than 14.8 million confirmed cases, owing to its high transmissibility and fast rate of spread. Of the infected locations, the Diamond Princess cruise ship is special in that it is an isolated system with a population highly concentrated in a limited space, providing particularly favorable conditions for the transmission of the novel coronavirus-associated pneumonia, COVID-19. The Japanese government's emergency measures for controlling the spread of COVID-19 on the cruise ship have also been questioned. In this paper we develop a homogeneous mixed difference system to describe the mechanism of transmission of COVID-19 on the cruise ship, reverse-predict the epidemic transmission trend from January 20 to February 20, 2020, including the daily number of infected people and the peak time of infection, estimate the range of the basic reproduction number of virus transmission on the cruise ship, and assess the effects of prevention and control measures. It is concluded that the isolation of people, along with rapid and comprehensive detection of infections, play an important role in controlling the epidemic. In fact, the Japanese government's emergency measures did have a certain effect on limiting the spread of COVID-19, but the number of infected people could have been reduced by at least 60% if all personnel on the cruise ship had been tested and isolated promptly as early as February 5.</text>
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          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="53290">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="53291">
                <text>covid-19, reproduction number, difference equation, reverse prediction, measures assessment, Diamond Princess</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="53292">
                <text>10.3389/fphy.2020.00353</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="53293">
                <text>Epidemiology and Health</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="53294">
                <text>Korean Society of Epidemiology</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="38">
            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
            <elementTextContainer>
              <elementText elementTextId="53295">
                <text>Physics</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
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    </elementSetContainer>
  </item>
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