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                  <text>Agricultura sostenible</text>
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                  <text>Dominio científico: Agricultura sostenible</text>
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                <text>A Sociologia das Ausências como referencial teórico para a pesquisa em Enfermagem psiquiátrica e em saúde mental</text>
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                <text>Edilene Mendonça Bernardes, Carla Aparecida Arena Ventura</text>
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                <text>Objetivo: analizar posibles contribuciones del referencial teórico de la Sociología de las Ausencias, específicamente, de la Ecología de Saberes, para la construcción de conocimientos en el área de enfermería psiquiátrica y en salud mental. Método: se trata de un estudio cualitativo con análisis de contenido, específicamente, el análisis temático. Se realizaron entrevistas semiestructuradas con personas con trastornos mentales o en sufrimiento mental y / o con sus familiares, usuarias del servicio de la Defensoría Pública del Estado de São Paulo en regionales del Interior y de la Región Metropolitana. En total, fueron siete entrevistas realizadas con la participación de nueve usuarios del servicio. Resultados: el análisis de datos fue organizado en tres bloques temáticos: 1) condiciones de existencia de las personas que recurren a la Defensoría Pública del Estado de São Paulo con demanda de salud mental; 2) Trayectoria de búsqueda por acceso a los derechos; y 3) la búsqueda de acceso a la justicia en la Defensoría del Estado de São Paulo. Se identifica, en el relato de los trabajos desarrollados descritos por la demanda de salud mental, que la institución busca desarrollar una escucha cualificada, posibilitando reconocer las diferentes formas de existencias y necesidades de una parte de la población tradicionalmente invisibilizada socialmente; el usuario del servicio con demanda de salud mental y sujeto de derecho. Conclusión: los resultados posibilitan identificar que el referencial teórico propuesto por la Sociología de las Ausencias puede ser considerado como una alternativa prometedora para ampliar las discusiones teórico-metodológicas a aquellos que buscan mayor comprensión de existencia, cuidados y derechos de las personas con trastornos mentales o con sufrimiento psíquico.</text>
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                <text>Texto &amp; Contexto Enfermagem</text>
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                <text>Universidade Federal de Santa Catarina, Programa de Pós Graduação em Enfermagem</text>
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                <text>Medicine, Nursing</text>
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                <text>&lt;a href="http://www.redalyc.org/articulo.oa?id=71453540010" target="_blank" rel="noreferrer noopener"&gt;http://www.redalyc.org/articulo.oa?id=71453540010&lt;/a&gt;</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>A Spatial-Temporal Model for the Evolution of the COVID-19 Pandemic in Spain Including Mobility</text>
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                <text>Pep Mulet, Francesc Aràndiga, Antonio Baeza, Isabel Cordero-Carrión, Rosa Donat, M.  Carmen Martí, Dionisio  F. Yáñez</text>
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                <text>In this work, a model for the simulation of infectious disease outbreaks including mobility data is presented. The model is based on the SAIR compartmental model and includes mobility data terms that model the flow of people between different regions. The aim of the model is to analyze the influence of mobility on the evolution of a disease after a lockdown period and to study the appearance of small epidemic outbreaks due to the so-called imported cases. We apply the model to the simulation of the COVID-19 in the various areas of Spain, for which the authorities made available mobility data based on the position of cell phones. We also introduce a method for the estimation of incomplete mobility data. Some numerical experiments show the importance of data completion and indicate that the model is able to qualitatively simulate the spread tendencies of small outbreaks. This work was motivated by an open call made to the mathematical community in Spain to help predict the spread of the epidemic.</text>
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                <text>10.3390/math8101677</text>
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                <text>Korean Society of Epidemiology</text>
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                <text>A step towards gender equity to strengthen the pharmaceutical workforce during COVID-19</text>
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                <text>Zaheer-ud-din Babar, Madeeha Malik, Huma Rasheed, Mehr Manzoor, Nadia Bukhari, Bismah Nayyer</text>
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                <text>Abstract There is plenty of evidence to support that women leaders are needed in the health and pharmaceutical sectors, although most of the leadership positions in global health are predominantly occupied by men. This is a major challenge to global health policy. Gender diversity and inclusion within the pharmaceutical workforce is integral to optimal patient care. Women continue to be underrepresented in senior and leadership positions within pharmacy, despite outnumbering the men in the global pharmacy workforce. This commentary highlights the need towards gender equity and discusses the several key initiatives that are building momentum and making substantial progress towards this agenda in the pharmaceutical workforce.</text>
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                <text>DOI: 10.1186/s40545-020-00215-5</text>
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                <text>Journal of Pharmaceutical Policy and Practice</text>
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                <text>Therapeutics. Pharmacology, Pharmacy and materia medica</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>A Stochastic Intelligent Computing with Neuro-Evolution Heuristics for Nonlinear SITR System of Novel COVID-19 Dynamics</text>
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                <text>Muhammad Shoaib, Muhammad Asif Zahoor Raja, Muhammad Umar, Zulqurnain Sabir, Manoj Gupta, Yolanda  Guerrero Sánchez</text>
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                <text>The present study aims to design stochastic intelligent computational heuristics for the numerical treatment of a nonlinear SITR system representing the dynamics of novel coronavirus disease 2019 (COVID-19). The mathematical SITR system using fractal parameters for COVID-19 dynamics is divided into four classes; that is, susceptible (S), infected (I), treatment (T), and recovered (R). The comprehensive details of each class along with the explanation of every parameter are provided, and the dynamics of novel COVID-19 are represented by calculating the solution of the mathematical SITR system using feed-forward artificial neural networks (FF-ANNs) trained with global search genetic algorithms (GAs) and speedy fine tuning by sequential quadratic programming (SQP)—that is, an FF-ANN-GASQP scheme. In the proposed FF-ANN-GASQP method, the objective function is formulated in the mean squared error sense using the approximate differential mapping of FF-ANNs for the SITR model, and learning of the networks is proficiently conducted with the integrated capabilities of GA and SQP. The correctness, stability, and potential of the proposed FF-ANN-GASQP scheme for the four different cases are established through comparative assessment study from the results of numerical computing with Adams solver for single as well as multiple autonomous trials. The results of statistical evaluations further authenticate the convergence and prospective accuracy of the FF-ANN-GASQP method.</text>
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                <text>coronavirus, Artificial Neural Networks, DISEASES, Genetic algorithm, SITR model, numerical Adams results</text>
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                <text>10.3390/sym12101628</text>
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                <text>Korean Society of Epidemiology</text>
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                <text>A Strategy for International Cooperation in the COVID-19 Pandemic Era: Focusing on National Scientific Funding Data</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="49742">
                <text>Doyeon Lee, Keunhwan Kim, Yoseob Heo</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="49743">
                <text>The coronavirus crisis may lead to a deeper understanding of international collaborations for developing antivirals and vaccines that are essential to protect us from current and future health security threats. Beyond technical solutions, the government of South Korea needs to establish a timely strategic investment in coronavirus-related research and development (R&amp;D) in order to enhance the capabilities for managing this new uncertainty in regard to the domestic health crisis. Thus, this study aims to provide useful information about the status of global coronavirus-related research from the South Korean government’s perspective. National funded projects stemmed from leading nations such as the United States, countries of the European Union, and Japan between 2012 and 2018. Six research fields were derived by clustering analysis and an expert-based approach, and then matched to those of South Korea. The comparative analysis among them allowed for the identification of the nations’ strengths and weaknesses, thereby laying the groundwork for strategic international research collaborations.</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="49744">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="49745">
                <text>coronavirus, Cluster analysis, Pandemic, Health policy, international cooperation, national scientific funds</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="49746">
                <text>10.3390/healthcare8030204</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="49747">
                <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="49748">
                <text>Korean Society of Epidemiology</text>
              </elementText>
            </elementTextContainer>
          </element>
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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>Medicine</text>
              </elementText>
            </elementTextContainer>
          </element>
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              <name>Title</name>
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                  <text>Coronavirus</text>
                </elementText>
              </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>
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      </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>
    </itemType>
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      <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="78660">
                <text>A Study of 3CLpros as Promising Targets against SARS-CoV and SARS-CoV-2</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="78661">
                <text>Suwon Kim, Mi-Sun Kim, Seri Jo, Dong  Hae Shin, Jahyun Yoo</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="78662">
                <text>The outbreak of coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), results in serious chaos all over the world. In addition to the available vaccines, the development of treatments to cure COVID-19 should be done quickly. One of the fastest strategies is to use a drug-repurposing approach. To provide COVID-19 patients with useful information about medicines currently being used in clinical trials, twenty-four compounds, including antiviral agents, were selected and assayed. These compounds were applied to verify the inhibitory activity for the protein function of 3CLpros (main proteases) of SARS-CoV and SARS-CoV-2. Among them, viral reverse-transcriptase inhibitors abacavir and tenofovir revealed a good inhibitory effect on both 3CLpros. Intriguingly, sildenafil, a cGMP-specific phosphodiesterase type 5 inhibitor also showed significant inhibitory function against them. The in silico docking study suggests that the active-site residues located in the S1 and S2 sites play key roles in the interactions with the inhibitors. The result indicates that 3CLpros are promising targets to cope with SAR-CoV-2 and its variants. The information can be helpful to design treatments to cure patients with COVID-19.</text>
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            </elementTextContainer>
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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="78663">
                <text>2021</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="78664">
                <text>antiviral, drug repurposing, FRET, Inhibitory compounds, sars-cov-2 3cl protease</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="78665">
                <text>10.3390/microorganisms9040756</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="78666">
                <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="78667">
                <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="78668">
                <text>Biology (General)</text>
              </elementText>
            </elementTextContainer>
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  <item itemId="10417" public="1" featured="0">
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        <src>https://www.socictopen.socict.org/files/original/52bb15332a915dc8258e7af6c557692c.pdf</src>
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          <name>Dublin Core</name>
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          <elementContainer>
            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="1">
                  <text>Coronavirus</text>
                </elementText>
              </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>
      <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="86918">
                <text>A STUDY OF ENGLISH BLENDS RELATED TO COVID-19</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="86919">
                <text>Samigoullina, A.D.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="86920">
                <text>The year 2020 was characterized by an unprecedented number of neologism and coinages that appeared in the English language under the influence of the pandemic of Covid-19. A significant proportion of these coinages is made up of blends, that is, word formations that consist of two source lexemes which merge or overlap. This paper purports to describe the Covid-related blends in the English language and analyse their structure. The article presents different approaches to a morphological classification of blends and makes a distinction between blends and clipped compounds. The analysis of the morphological structure of Covid-related blends showed that among these lexical formations, substitution blends prevail over overlap blends; a common type of blending is combining the first source word in its entirety with the final splinter of the second source word.</text>
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            </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="86921">
                <text>2021</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="86922">
                <text>covid-19, blend, word formation, neologism, словообразование, coinage, неологизм, бленд, блендинг, portmanteau word, лексическая контаминация, контаминант, ковид-19</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="86923">
                <text>10.18454/RULB.2021.25.1.15</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="86924">
                <text>Russian Linguistic Bulletin</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="86925">
                <text>Marina Sokolova Publishings</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="86926">
                <text>Philology. Linguistics</text>
              </elementText>
            </elementTextContainer>
          </element>
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    </elementSetContainer>
  </item>
  <item itemId="1998" public="1" featured="0">
    <fileContainer>
      <file fileId="1998">
        <src>https://www.socictopen.socict.org/files/original/54289d6e7f0d6ba029b86e16b30d384e.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="19180">
                <text>A Study of Inflammatory Markers in Gestational Diabetes Mellitus</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="19181">
                <text>Cuma Mertoglu, Murat Günay, Mehmet  Güngör, Mehmet Kulhan, Nur Gözde Kulhan</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="19182">
                <text>Objective: Gestational diabetes mellitus is a common disorder of carbohydrate metabolism, with onset or first recognition during pregnancy, resulting in hyperglycemia of variable severity. Insulin resistance and chronic subclinical inflammation are the underlying mechanisms of the disease. Soluble interleukin-2 receptor, neutrophil-to-lymphocyte ratio, and platelet-to-lymphocyte ratio are the markers of inflammatory disease processes such as type 1 and 2 diabetes mellitus, hepatitis, and neoplasms.  Study Design: In our study, we measured complete blood count, serum soluble interleukin-2 receptor, serum glucose in blood samples from 52 women with gestational diabetes mellitus and 50 pregnant women with normal glucose tolerance. Pregnant women which were tested for oral glucose tolerance test (75 gr load) between 24 and 28 weeks of pregnancy were selected for the study. Gestational diabetes mellitus was defined according to the criteria provided by the National Institute for Health and Care Excellence.  Results: In terms of age, gestational diabetes mellitus patients (mean±SD; 31±6 years) were older than controls (mean±SD; 25±5.3 years). Mean platelet volume values were lower in gestational diabetes mellitus patients (mean±SD; 10.3±1.4 fL) as compared to normal glucose tolerance group (mean±SD; 10.8±1fL). No statistically significant differences in serum glucose concentration, white blood cell count, neutrophil count, lymphocyte count, hemoglobin concentration, platelet count, neutrophil-to-lymphocyte ratio value, platelet-to-lymphocyte ratio value, and serum soluble interleukin-2 receptor concentration were found.   Conclusion: This study did not reveal an increase in the inflammatory markers, neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio and serum soluble interleukin-2 receptor, in gestational diabetes mellitus. The mean platelet volume values were observed to be lower in gestational diabetes mellitus patients.</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>
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                <text>2019</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="19184">
                <text>neutrophil/lymphocyte ratio, platelet-lymphocyte ratio, Soluble interleukin-2 receptor, Mean platelet volume, gestational diabetes mellitus</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="19185">
                <text>DOI: 10.21613/GORM.2018.775</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="19186">
                <text>Gorm</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="19187">
                <text>Medical Network</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="19188">
                <text>Medicine, Gynecology and obstetrics</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="44">
            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="19189">
                <text>EN</text>
              </elementText>
            </elementTextContainer>
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  <item itemId="10126" public="1" featured="0">
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        <src>https://www.socictopen.socict.org/files/original/669d7118486b8ee09ccfe5e6bfc25c7a.pdf</src>
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        <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="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="84367">
                <text>A Study on Students’ Perceptions for Online Zoom-app based Flipped Class Sessions on Anatomy Organised during the Lockdown Period of COVID-19 Epoch</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="84368">
                <text>Hironmoy Roy, Kuntala Ray, Satyajit Saha, Asis Kumar Ghosal</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="84369">
                <text>ABSTRACTIntroduction: In the present situation of containment for COVID-19 epoch, the physical classroom sessions in medical colleges were suspended by different Government advisories. Faculties have been guided by the university as well as institution to carry on the online teaching to the medical students. As the students were not present physically, so flipped class model has been implemented using the Zoom cloud app for teaching Anatomy.Aim: To explore the perception of undergraduate students of Anatomy regarding online Zoom-app based flipped class sessions and to obtain the suggestions for improvement of such classes organised during the lockdown period of COVID-19.Materials and Methods: Ten gross Anatomy topics and 10 histology slides (total 15 sessions; one session for each gross anatomy topics and five sessions covering two slides for each day) were discussed in flipped class mode. For each session, the text materials were served to the students two days before. On the third day, face to face interactive classes were undertaken using the Zoom platform; for the entire 199 students of Anatomy. After completion of one month, students’ perceptions were obtained by semi-structured questionnaire made with Google form.Results: Although the department has organised almost daily Zoom sessions with pre-shared study material; in flipped classroom mode, but majority of the students opined for maximum three days per week Zoom sessions instead of every day’s classes. Total 92% preferred the current strategy of advanced sharing of study material instead of concurrent sharing of text. Almost 93.5% students felt the study material helpful to them, 79% students found the Zoom sessions helpful for their doubt clearance. Strikingly, 40% students confessed that they failed to keep up with the progress of the classes in daily mode. There was a mixed reaction for continuing such mode of teaching in the post-lockdown era. The network connectivity became a broad issue as constrain to almost all of them to participate in online discussion platform.Conclusion: As the students and teachers were new in the online mode of teaching; so students feedbacks were felt need for future planning. The students had an opinion to lessen the number of classes so that they can cope up with the study material. However, majority of them wanted to move back to their classrooms rather than remain in the online mode of learning.</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="84370">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
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                <text>Medical education, Undergraduate Teaching, net based learning, networking in medical education</text>
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                <text>10.7860/JCDR/2020/44869.13797</text>
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                <text>Medicine</text>
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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>A Study on the Behavioral Change of Passengers on Sustainable Air Transport After COVID-19</text>
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                <text>Ki-Han Song, Solsaem Choi</text>
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                <text>From the perspective of the sustainability of aviation demand, we investigated passenger perceptions with regards to whether or not Korean people will resume the use of air transport after COVID-19. Based on five factors—the prevalence of COVID-19, requirements for self-isolation, circumstances at the destination, social atmosphere with regards to overseas travel, and level of preventative measures employed in the aviation service sector—a structured questionnaire was developed using confirmatory factor analysis. Based on these, the main levels of determination per factor were derived and a structured path for the recovery of aviation demand via structural equation analysis between factors was analyzed. The five factors established above were found to have a significant impact on passenger perceptions with regards to the restart of using air transport. It was found that people may consider resuming overseas travel with air transport, prior to the development of a COVID-19 cure or vaccine, corresponding to relaxed requirements for self-isolation if there is a fall in the number of confirmed cases. In addition, it was determined that the unconditional lifting of self-isolation requirements without considerations for the hygienic conditions of the destination has limitations in how much it will lead to the resumption of air travel. We hope that this study will serve as a starting point for other studies monitoring passenger behavior in the future and that it will lead to the development of sustainable strategies for recovering aviation demand.</text>
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                <text>structural equation modeling, air transport sustainability, passenger behavior</text>
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                <text>10.3390/su12219207</text>
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                <text>Biotemas</text>
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                <text>Universidade Federal de Santa Catarina</text>
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                <text>Environmental effects of industries and plants, Renewable energy sources, Environmental sciences</text>
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