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              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Distinguishing non severe cases of dengue from COVID-19 in the context of co-epidemics: A cohort study in a SARS-CoV-2 testing center on Reunion island.</text>
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                <text>Antoine Joubert, Fanny Andry, Antoine Bertolotti, Frédéric Accot, Yatrika Koumar, Florian Legrand, Patrice Poubeau, Rodolphe Manaquin, Patrick Gérardin, Cécile Levin</text>
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                <text>BackgroundAs coronavirus 2019 (COVID-19) is spreading globally, several countries are handling dengue epidemics. As both infections are deemed to share similarities at presentation, it would be useful to distinguish COVID-19 from dengue in the context of co-epidemics. Hence, we performed a retrospective cohort study to identify predictors of both infections.Methodology/principal findingsAll the subjects suspected of COVID-19 between March 23 and May 10, 2020, were screened for COVID-19 within the testing center of the University hospital of Saint-Pierre, Reunion island. The screening consisted in a questionnaire surveyed in face-to-face, a nasopharyngeal swab specimen for the Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) reverse transcription polymerase chain-reaction and a rapid diagnostic orientation test for dengue. Factors independently associated with COVID-19 or with dengue were sought using multinomial logistic regression models, taking other febrile illnesses (OFIs) as controls. Adjusted Odds ratios (OR) and 95% Confidence Intervals (95%CI) were assessed. Over a two-month study period, we diagnosed 80 COVID-19, 61 non-severe dengue and 872 OFIs cases eligible to multivariate analysis. Among these, we identified delayed presentation (&gt;3 days) since symptom onset (Odds ratio 1.91, 95% confidence interval 1.07-3.39), contact with a COVID-19 positive case (OR 3.81, 95%CI 2.21-6.55) and anosmia (OR 7.80, 95%CI 4.20-14.49) as independent predictors of COVID-19, body ache (OR 6.17, 95%CI 2.69-14.14), headache (OR 5.03, 95%CI 1.88-13.44) and retro-orbital pain (OR 5.55, 95%CI 2.51-12.28) as independent predictors of dengue, while smoking was less likely observed with COVID-19 (OR 0.27, 95%CI 0.09-0.79) and upper respiratory tract infection symptoms were associated with OFIs.Conclusions/significanceAlthough prone to potential biases, these data suggest that non-severe dengue may be more symptomatic than COVID-19 in a co-epidemic setting with higher dengue attack rates. At clinical presentation, nine basic clinical and epidemiological indicators may help to distinguish COVID-19 or dengue from each other and other febrile illnesses.</text>
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                <text>2021</text>
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                <text>10.1371/journal.pntd.0008879</text>
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                <text>PLoS Neglected Tropical Diseases</text>
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                <text>Public Library of Science (PLoS)</text>
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                <text>Public aspects of medicine, Arctic medicine. Tropical medicine</text>
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                  <text>Agricultura sostenible</text>
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              <name>Description</name>
              <description>An account of the resource</description>
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                  <text>Dominio científico: Agricultura sostenible</text>
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      <name>Text</name>
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            <description>A name given to the resource</description>
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                <text>Bosques y suelos en el contexto de redd+: entre gobierno y gobernanza en México</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="178385">
                <text>Antoine Libert Amico, Tim Trench</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>El reciente énfasis en la reducción de emisiones por deforestación y degradación (REDD+) ha generado una reconfiguración de las formas de gestión ambiental en México. Mediante el uso de datos generados por los autores dentro de un proyecto de investigación sobre Gobernanza Multinivel y Gestión de Carbono a Nivel de Paisaje, del Centro para la Investigación Forestal Internacional (CIFOR), se muestran los retos que enfrentan nuevos arreglos de gobernanza en torno a bosques y suelos. Se marca la diferencia entre gobierno y gobernanza, buscando ilustrar la transición de uno al otro en el marco de los programas de acción temprana REDD+ y el potencial de innovación que el escenario actual de debates sobre cambio climático ha creado. Al final se invita a una reflexión sobre las posibles contribuciones de una gobernanza forestal democrática, legítima y transparente para la gestión de los suelos y de los desafíos ambientales.</text>
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                <text>2016</text>
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                <text>carbono, gestión forestal, reducción de emisiones</text>
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            <description>A related resource from which the described resource is derived</description>
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                <text>Terra Latinoamericana</text>
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              <elementText elementTextId="178390">
                <text>Sociedad Mexicana de la Ciencia del Suelo A. C.</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>Agriculture (General), Agriculture</text>
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                <text>&lt;a href="https://www.terralatinoamericana.org.mx/index.php/terra/article/view/80/86" target="_blank" rel="noreferrer noopener"&gt;https://www.terralatinoamericana.org.mx/index.php/terra/article/view/80/86&lt;/a&gt;</text>
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              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Agricultura sostenible</text>
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                  <text>Dominio científico: Agricultura sostenible</text>
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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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                <text>Distribución y ecología de Vesicarex collumanthus Steyermark (Cyperaceae)</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="240117">
                <text>Antoine M. Cleef</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Desde la descripción original de Vesicarex collumanthus por Steyermark (1951), genero nuevo encontrado en el Paramo de Tama en la parte venezolana de la Cordillera Oriental, no se conoee publicaciones posteriores sobre esta diminuta Ciperacea, Vesicarex es un genero monotipico de los páramos del trópico andino. Fitogeogrilficamente, Vesicarex pertenece al elemento endémico O 'Paramo element' de la flora vascular paramuna (Cleef, 1979). Aunque la plantica es bastante inconspicua, hoy día disponemos de suficientes colecciones y observaciones de campo, para la siguiente presentación de datos de distribución y ecología. La forma de vida y aspectos fonológicos, anatómicos y sistemáticos de Vesicarex son tratados por el Dr. Luis Eduardo Mora-Osejo, en artículo separado que aparece publicado en esta primera entrega de 'Acta Biológica Colombiana'.</text>
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                <text>1982</text>
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                <text>Cyperaceae, Distribución natural, Páramos, Vesicarex, biogeografia, ecología</text>
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                <text>Acta Biológica Colombiana</text>
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            <name>Publisher</name>
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              <elementText elementTextId="240122">
                <text>Universidad Nacional de Colombia</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>Biology (General)</text>
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                <text>&lt;a href="https://revistas.unal.edu.co/index.php/actabiol/article/view/25737" target="_blank" rel="noreferrer noopener"&gt;https://revistas.unal.edu.co/index.php/actabiol/article/view/25737&lt;/a&gt;</text>
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                <text>An Outbreak of Human Coronavirus OC43 Infection and Serological Cross-Reactivity with SARS Coronavirus</text>
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                <text>Anton Andonov, Roland Guasparini, David M Patrick, Mel Krajden, Robert C Brunham, Jianping Guo, Nathalie Bastien, Martin Petric, Raymond Tellier, Michael Drebot, Judith Isaac-Renton, Samara T David, Alan McNabb, Danuta M Skowronski, Caroline Astell, Robert Parker, Patrick McGeer, Timothy F Booth, Gail McNabb, Larry Gustafson, Janet Dubord, Diane MacDonald, Leila F Srour, Nadine Loewen, Swee-Han Goh, Scott Henwick, Francis Plummer</text>
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                <text>BACKGROUND: In summer 2003, a respiratory outbreak was investigated in British Columbia, during which nucleic acid tests and serology unexpectedly indicated reactivity for severe acute respiratory syndrome coronavirus (SARS-CoV).</text>
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                <text>2006</text>
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                <text>DOI: 10.1155/2006/152612</text>
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              <elementText elementTextId="27636">
                <text>Canadian Journal of Infectious Diseases and Medical Microbiology</text>
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                <text>Hindawi Limited</text>
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                <text>Infectious and parasitic diseases, Microbiology</text>
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        <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>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="29861">
                <text>Estimation of Unreported Novel Coronavirus (SARS-CoV-2) Infections from Reported Deaths: A Susceptible–Exposed–Infectious–Recovered–Dead Model</text>
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            </elementTextContainer>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="29862">
                <text>Antonella Agodi, Martina Barchitta, Andrea Maugeri, Sebastiano Battiato</text>
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            </elementTextContainer>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="29863">
                <text>In the midst of the novel coronavirus (SARS-CoV-2) epidemic, examining reported case data could lead to biased speculations and conclusions. Indeed, estimation of unreported infections is crucial for a better understanding of the current emergency in China and in other countries. In this study, we aimed to estimate the unreported number of infections in China prior to the 23 January 2020 restrictions. To do this, we developed a Susceptible–Exposed–Infectious–Recovered–Dead (SEIRD) model that estimated unreported infections from the reported number of deaths. Our approach relied on the fact that observed deaths were less likely to be affected by ascertainment biases than reported infections. Interestingly, we estimated that the basic reproductive number (R0) was 2.43 (95%CI = 2.42–2.44) at the beginning of the epidemic and that 92.9% (95%CI = 92.5%–93.1%) of total cases were not reported. Similarly, the proportion of unreported new infections by day ranged from 52.1% to 100%, with a total of 91.8% (95%CI = 91.6%–92.1%) of infections going unreported. Agreement between our estimates and those from previous studies proves that our approach is reliable for estimating the prevalence and incidence of undocumented SARS-CoV-2 infections. Once it has been tested on Chinese data, our model could be applied to other countries with different surveillance and testing policies.</text>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
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                <text>2020</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="29865">
                <text>Epidemiology, epidemic model, novel coronavirus, COVID-19</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="29866">
                <text>DOI: 10.3390/jcm9051350</text>
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            </elementTextContainer>
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          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="29867">
                <text>Journal of Clinical Medicine</text>
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            </elementTextContainer>
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          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="29868">
                <text>MDPI AG</text>
              </elementText>
            </elementTextContainer>
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          <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="29869">
                <text>Medicine</text>
              </elementText>
            </elementTextContainer>
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  <item itemId="9904" public="1" featured="0">
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          <name>Dublin Core</name>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="1">
                  <text>Coronavirus</text>
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              </elementTextContainer>
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            <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>
    </collection>
    <itemType itemTypeId="1">
      <name>Text</name>
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    <elementSetContainer>
      <elementSet elementSetId="1">
        <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>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="82408">
                <text>Modeling the Novel Coronavirus (SARS-CoV-2) Outbreak in Sicily, Italy</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="82409">
                <text>Antonella Agodi, Martina Barchitta, Andrea Maugeri, Sebastiano Battiato</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="82410">
                <text>Italy was the first country in Europe which imposed control measures of travel restrictions, quarantine and contact precautions to tackle the epidemic spread of the novel coronavirus (SARS-CoV-2) in all its regions. While such efforts are still ongoing, uncertainties regarding SARS-CoV-2 transmissibility and ascertainment of cases make it difficult to evaluate the effectiveness of restrictions. Here, we employed a Susceptible-Exposed-Infectious-Recovered-Dead (SEIRD) model to assess SARS-CoV-2 transmission dynamics, working on the number of reported patients in intensive care unit (ICU) and deaths in Sicily (Italy), from 24 February to 13 April. Overall, we obtained a good fit between estimated and reported data, with a fraction of unreported SARS-CoV-2 cases (18.4%; 95%CI = 0–34.0%) before 10 March lockdown. Interestingly, we estimated that transmission rate in the community was reduced by 32% (95%CI = 23–42%) after the first set of restrictions, and by 80% (95%CI = 70–89%) after those adopted on 23 March. Thus, our estimates delineated the characteristics of SARS-CoV2 epidemic before restrictions taking into account unreported data. Moreover, our findings suggested that transmission rates were reduced after the adoption of control measures. However, we cannot evaluate whether part of this reduction might be attributable to other unmeasured factors, and hence further research and more accurate data are needed to understand the extent to which restrictions contributed to the epidemic control.</text>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="82411">
                <text>2020</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="82412">
                <text>epidemiology, covid-19, novel coronavirus, Epidemic model</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="82413">
                <text>10.3390/ijerph17144964</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="82414">
                <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="82415">
                <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="82416">
                <text>Medicine</text>
              </elementText>
            </elementTextContainer>
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  <item itemId="9493" public="1" featured="0">
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        <src>https://socictopen.socict.org/files/original/7380e32e7e239c5e6b2e242ac8432c00.pdf</src>
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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>
    </collection>
    <itemType itemTypeId="1">
      <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>
    </itemType>
    <elementSetContainer>
      <elementSet elementSetId="1">
        <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="79146">
                <text>Lights and Shadows on Managing Immune Checkpoint Inhibitors in Oncology during the COVID-19 Era</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="79147">
                <text>Antonella Argentiero, Nicola Silvestris, Chiara Burgaletto, Oronzo Brunetti, Antonio Munafò, Renato Bernardini, Giuseppina Cantarella</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="79148">
                <text>Since the start of the global spread of coronavirus disease (COVID-19) pandemic, cancer patients were identified as a specifically susceptible subgroup of the patient population. Several reports have shown that cancer patients have an increased risk of both contracting the infection and of experiencing a more severe disease course, with a rapidly evolving picture associated with higher mortality. The assumption of cancer patients as “COVID-19 vulnerable” has led, irretrievably, to profound changes in the decision making of oncological treatments. Potential justifications for such concerns encompass the cancer-dependent suppression of the immune response, as well as the influence of administration of systemic anticancer treatments, including chemotherapy and immunotherapy. Nevertheless, to date, it is not clear whether the use of immune checkpoint inhibitors (ICIs) in cancer patients is safe, given their modulating effects on the immune system, or that they may rather conceal detrimental consequences. Theoretically, on the one hand, ICIs may enhance the immunological control of viral infections through their immunostimulating mechanisms; on the other hand, they could contribute to the hyper-inflammatory phase of COVID-19, worsening its clinical outcomes. In this study, we report the foremost clinical observations on the safety of ICI administration in cancer patients affected by COVID-19.</text>
              </elementText>
            </elementTextContainer>
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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="79149">
                <text>2021</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="79150">
                <text>immune response, cancer therapy, drug safety, immuno-oncologics</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="79151">
                <text>10.3390/cancers13081906</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="79152">
                <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="79153">
                <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="79154">
                <text>Neoplasms. Tumors. Oncology. Including cancer and carcinogens</text>
              </elementText>
            </elementTextContainer>
          </element>
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    </elementSetContainer>
  </item>
  <item itemId="646" public="1" featured="0">
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        <src>https://socictopen.socict.org/files/original/d0a4ac1da78a3d18460a2638b3aee706.pdf</src>
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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>
    </collection>
    <itemType itemTypeId="1">
      <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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    <elementSetContainer>
      <elementSet elementSetId="1">
        <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>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="6035">
                <text>Structural Probing and Molecular Modeling of the A3 Adenosine Receptor: A Focus on Agonist Binding</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="6036">
                <text>Antonella Ciancetta, Kenneth A. Jacobson</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="6037">
                <text>Adenosine is an endogenous modulator exerting its functions through the activation of four adenosine receptor (AR) subtypes, termed A1, A2A, A2B and A3, which belong to the G protein-coupled receptor (GPCR) superfamily. The human A3AR (hA3AR) subtype is implicated in several cytoprotective functions. Therefore, hA3AR modulators, and in particular agonists, are sought for their potential application as anti-inflammatory, anticancer, and cardioprotective agents. Structure-based molecular modeling techniques have been applied over the years to rationalize the structure–activity relationships (SARs) of newly emerged A3AR ligands, guide the subsequent lead optimization, and interpret site-directed mutagenesis (SDM) data from a molecular perspective. In this review, we showcase selected modeling-based and guided strategies that were applied to elucidate the binding of agonists to the A3AR and discuss the challenges associated with an accurate prediction of the receptor extracellular vestibule through homology modeling from the available X-ray templates.</text>
              </elementText>
            </elementTextContainer>
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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="6038">
                <text>2017</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="6039">
                <text>G-protein-coupled receptor, site-directed mutagenesis, Homology Modeling, Adenosine receptor, structure-activity relationship, nucleoside, docking, Molecular dynamics, agonist, drug discovery, virtual screening</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="6040">
                <text>DOI: 10.3390/molecules22030449</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="6041">
                <text>Molecules</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="6042">
                <text>MDPI AG</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="6043">
                <text>Organic chemistry</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="44">
            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="6044">
                <text>EN</text>
              </elementText>
            </elementTextContainer>
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  <item itemId="16884" public="1" featured="0">
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          <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="88121">
                  <text>Agricultura sostenible</text>
                </elementText>
              </elementTextContainer>
            </element>
            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
              <elementTextContainer>
                <elementText elementTextId="88122">
                  <text>Dominio científico: Agricultura sostenible</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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        <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>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="140865">
                <text>Produzindo corpos ativos: a aprendizagem de crianças indígenas e agricultoras através da participação nas atividades produtivas familiares</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="140866">
                <text>Antonella Tassinari</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="140867">
                <text>ResumoEste artigo analisa os processos de ensino e aprendizagem em dois contextos sociais diversos vivenciados por famílias agricultoras, no Paraná, e por famílias indígenas galibi-marworno, no Amapá. Embora a educação escolar seja valorizada pelas famílias e ocupe um tempo e investimento considerável das crianças, esses contextos são aqui considerados “não escolarizados” porque a escola não constitui uma fonte hegemônica de conhecimento para essas crianças, que também aprendem através de outras situações vivenciadas por elas, especialmente através da participação nas atividades produtivas familiares. Ao reconhecer alguns aspectos comuns dos processos de aprendizagem nesses dois contextos, como a centralidade da experiência e da corporalidade, a atenção aos esforços de imitação, a ênfase na iniciativa dos aprendizes e a atribuição progressiva de responsabilidades, o artigo procura contribuir para os debates antropológicos contemporâneos sobre cognição e aprendizagem.</text>
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            </elementTextContainer>
          </element>
          <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="140868">
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