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                  <text>Dominio científico: Coronavirus</text>
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                <text>DARI TRADISIONAL MENUJU DIGITAL: ADOPSI INTERNET OLEH NAHDLATUL ULAMA SELAMA PANDEMI COVID-19</text>
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                <text>Muhammad Irfan Wahid</text>
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                <text>This article discussed on how religious organizations see and use the internet. The example of a case presented in this article was a mass organization of Nahdlatul Ulama. This article was based on assumption that Nahdlatul Ulama as a traditionalist religious organization tends to be conservative towards the development of information technology was an inaccurate analysis. The data in this article were obtained from Nahdlatul Ulama official website and literature. The findings indicated that despite having a traditionalist character, Nahdlatul Ulama was able to adopt internet technology as an information media for its religious worldviews.</text>
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                <text>Internet, digital, traditional, nahdlatul ulama</text>
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                <text>Jurnal Studi Agama dan Masyarakat</text>
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                <text>LP2M IAIN Palangka Raya</text>
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                <text>Islam</text>
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                  <text>Agricultura sostenible</text>
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                  <text>Dominio científico: Agricultura sostenible</text>
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                <text>Darwin, and the role of theories in evolutionary thinking Darwin y el papel de las teorías en el pensamiento evolutivo</text>
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                <text>GERMÁN MANRÍQUEZ</text>
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                <text>The section 'Special Features' is dedicated to share with its readers thematic works about natural history, ecology and evolution. In this introduction we focus on the role that theories play in the construction of evolutionary thinking. First, we briefly show the importance of Lamarck's work in the context of pre-Darwinian theories about organic evolution. Then, the main components of the Darwinian theoretical core and its postDarwinian extensions are thoroughly discussed. Finally the essays following this introduction in the present issue are summarized.La sección 'Temas especiales' está dedicada a compartir con sus lectores trabajos temáticos sobre historia natural, ecología y evolución. En esta introducción nos centraremos en el papel que juegan las teorías en la construcción del pensamiento evolutivo. En primer lugar, se mostrará brevemente la importancia de la obra de Lamarck en el contexto de las teorías predarwinianas sobre evolución orgánica. Luego se discutirán en detalle los principales componentes del núcleo teórico del darwinismo así como sus extensiones postdarwinianas. Finalmente se resumen los ensayos que siguen a la presente introducción.</text>
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                <text>2010</text>
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                <text>Darwin, evolutionary thinking, pensamiento evolutivo, teorias, theories</text>
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                <text>Revista Chilena de Historia Natural</text>
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                <text>Botany, Zoology</text>
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                <text>&lt;a href="http://www.scielo.cl/scielo.php?script=sci_arttext&amp;amp;pid=S0716-078X2010000400001" target="_blank" rel="noreferrer noopener"&gt;http://www.scielo.cl/scielo.php?script=sci_arttext&amp;amp;pid=S0716-078X2010000400001&lt;/a&gt;</text>
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                <text>Der Bundesrat hat im Rahmen der Massnahmen zur Bekämpfung des Coronavirus (Covid-19) Strafvorschriften auf Verordnungsebene erlassen und diese als Reaktion auf die sich rasch ändernden Umstände häufig angepasst. Das wirft die Fragen auf, ob der Bundesrat überhaupt Strafvorschriften erlassen darf und welchen Anforderungen diese genügen müssen. Eine Analyse der Strafbestimmungen in der COVID-19-Verordnung 2 zeigt, dass sich diese auf eine – wenn auch diskussionswürdige – Grundlage stützen können. Die konkrete Ausgestaltung verletzt allerdings teilweise das Verhältnismässigkeitsprinzip und das strafrechtliche Bestimmtheitsgebot. Ausserdem vermag die Notverordnungskompetenz des Bundesrates die Anwendung des Ordnungsbussenverfahrens auf gewisse Übertretungen nicht zu decken. Insgesamt ist es angezeigt, dass der bundesrätliche Umgang mit den Strafvorschriften überdacht wird, um für zukünftige Krisensituationen die richtigen Schlüsse zu ziehen.</text>
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                <text>10.21257/sg.137</text>
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                <text>Epidemiology and Health</text>
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                <text>Korean Society of Epidemiology</text>
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                  <text>Agricultura sostenible</text>
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                  <text>Dominio científico: Agricultura sostenible</text>
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                <text>Data about working conditions, health profile and nutrition of farmers rural families of Teresina – PI, Brazil</text>
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                <text>Mônica Sabrinny Farias Mendes, Norma Sueli Marques da Costa Alberto, Amanda Valéria Souza Guimarães Rocha</text>
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                <text>Family farming holds the promise of adopting agricultural practices and contributing to food and nutritional sovereignty and security. Farmers' health is conditioned by social, economic, technological and organizational factors related to the production and consumption profile, as well as the physical, chemical, biological, mechanical and ergonomic risks present in work processes. The objective is to characterize the health and nutrition profile of rural family farmers in Teresina – Piauí, from the perspective of identifying and preventing possible risks in the group. Methodology: Descriptive and cross-sectional case study conducted in a rural Teresina area. Family farmers of both genders, aged over 20 years, who had been working in the garden for at least four months, participated. For data collection, an interview was conducted, which involved socioeconomic aspects, lifestyle, self-reported health status, food intake assessment and anthropometry. Data were processed in the Spreadsheet Program and presented with descriptive statistics. The study was approved by the Ethics Committee of Uninovafapi (No. 2,534,540). Twenty family farmers participated in the survey. Of these, they were 50% of each sex, most of them perceived to be brown and were aged between 40 and 59 years. As for health conditions, just over half considered their health status from poor to regular and did not practice physical activity; low prevalence of smokers. About working time in the garden, it varied from 01 to 20 years. Most considered the working conditions good/great and all reported being satisfied / very satisfied working in this area. The most prevalent nutritional status among adult farmers was overweight, being higher among men. In the elderly, the higher prevalence was identified in women. The high risk for metabolic and cardiovascular diseases was present in both age groups, being higher among the elderly; The very high risk was identified only in adult women. Regarding food consumption, 95% of farmers consume fresh foods, and 25% consume ultra-processed foods. The survey provided insight into the health and nutrition profile of a small portion of Teresina family farmers. Note at the end that it is a large area, but little studied.</text>
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                <text>2019</text>
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                <text>Segurança alimentar e nutricional, associação de agricultores, saúde da comunidade</text>
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                <text>Revista Eletrônica Competências Digitais para Agricultura Familiar</text>
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                <text>Universidade Estadual Paulista Júlio de Mesquita Filho</text>
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                <text>Agriculture (General)</text>
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                <text>&lt;a href="http://codaf.tupa.unesp.br:8082/index.php/recodaf/article/view/105" target="_blank" rel="noreferrer noopener"&gt;http://codaf.tupa.unesp.br:8082/index.php/recodaf/article/view/105&lt;/a&gt;</text>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="37178">
                <text>Data analysis and mapping for monitoring health risk. What has the spread of the Covid-19 pandemic in northern Italy taught us?</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="37179">
                <text>Michela Tiboni, Michele Pezzagno, Craig Alexander, David Vetturi, Francesco Botticini</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="37180">
                <text>The construction of the knowledge framework is a fundamental phase in the territorial governance process and data analyses, together with their mapping using GIS software, provide a fundamental basis for the structuring of a system for making decisions. With reference to the issue of risk management, monitoring of spatial and temporal evolution of the phenomena is equally fundamental. The aim of the paper is to address these issues in relation to health risk, starting from the pandemic situation that affected northern Italy in the early months of 2020. The paper presents an ex-post statistical analysis of the ISTAT data on mortality in the Italian provinces, comparing the currently available 2020 data to previous years. A territorial analysis is then presented, using a GIS, regarding the spread of the Covid-19 infection in the 205 municipalities of the province of Brescia. The paper also proposes a comparison with analysis conducted for other territories outside Italy. Finally, a reflection is offered on what we have learned from this pandemic regarding the need to have a monitoring system for phenomena related to health risk, in order to reduce the vulnerability of the health system.</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="37181">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="37182">
                <text>Risk, monitoring, prevention, Data analysis, data mapping</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="37183">
                <text>DOI: 10.6092/1970-9870/6899</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="37184">
                <text>TeMA: Journal of Land Use, Mobility and Environment</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="37185">
                <text>Università di Napoli Federico II</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="37186">
                <text>Transportation engineering, Urbanization. City and country</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
  </item>
  <item itemId="10378" public="1" featured="0">
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        <src>https://socictopen.socict.org/files/original/6cdac1a16aaf0039e18bbef2c6432be3.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>
            </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>
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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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    <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="86586">
                <text>Data Analytics and Mathematical Modeling for Simulating the Dynamics of COVID-19 Epidemic—A Case Study of India</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="86587">
                <text>Himanshu Gupta, Saurav Kumar, Drishti Yadav, Om  Prakash Verma, Tarun  Kumar Sharma, Chang  Wook Ahn, Jong-Hyun Lee</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="86588">
                <text>The global explosion of the COVID-19 pandemic has created worldwide unprecedented health and economic challenges which stimulated one of the biggest annual migrations globally. In the Indian context, even after proactive decisions taken by the Government, the continual growth of COVID-19 raises questions regarding its extent and severity. The present work utilizes the susceptible-infected-recovered-death (SIRD) compartment model for parameter estimation and fruitful prediction of COVID-19. Further, various optimization techniques such as particle swarm optimization (PSO), gradient (G), pattern search (PS) and their hybrid are employed to solve the considered model. The simulation study endorse the efficiency of PSO (with or without G) and G+PS+G over other techniques for ongoing pandemic assessment. The key parametric values including characteristic time of infection and death and reproduction number have been estimated as 60 days, 67 days and 4.78 respectively by utilizing the optimum results. The model assessed that India has passed its peak duration of COVID-19 with more than 81% recovery and only a 1.59% death rate. The short duration analysis (15 days) of obtained results against reported data validates the effectiveness of the developed models for ongoing pandemic assessment.</text>
              </elementText>
            </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="86589">
                <text>2021</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="86590">
                <text>epidemiology, covid-19, optimization, predictive modeling, particle swarm optimization, Compartment modeling</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="86591">
                <text>10.3390/electronics10020127</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="86592">
                <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="86593">
                <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="86594">
                <text>Electronics</text>
              </elementText>
            </elementTextContainer>
          </element>
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    </elementSetContainer>
  </item>
  <item itemId="5913" public="1" featured="0">
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      <file fileId="5913">
        <src>https://socictopen.socict.org/files/original/8de65bd62a039f138fe6cb1ad66aa2c7.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="52756">
                <text>Data and Text Mining Help Identify Key Proteins Involved in the Molecular Mechanisms Shared by SARS-CoV-2 and HIV-1</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="52757">
                <text>Olga Tarasova, Sergey Ivanov, Dmitry A. Filimonov, Vladimir Poroikov</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="52758">
                <text>Viruses can be spread from one person to another; therefore, they may cause disorders in many people, sometimes leading to epidemics and even pandemics. New, previously unstudied viruses and some specific mutant or recombinant variants of known viruses constantly appear. An example is a variant of coronaviruses (CoV) causing severe acute respiratory syndrome (SARS), named SARS-CoV-2. Some antiviral drugs, such as remdesivir as well as antiretroviral drugs including darunavir, lopinavir, and ritonavir are suggested to be effective in treating disorders caused by SARS-CoV-2. There are data on the utilization of antiretroviral drugs against SARS-CoV2. Since there are many studies aimed at the identification of the molecular mechanisms of human immunodeficiency virus type 1 (HIV-1) infection and the development of novel therapeutic approaches against HIV-1, we used HIV-1 for our case study to identify possible molecular pathways shared by SARS-CoV-2 and HIV-1. We applied a text and data mining workflow and identified a list of 46 targets, which can be essential for the development of infections caused by SARS-CoV-2 and HIV-1. We show that SARS-CoV-2 and HIV-1 share some molecular pathways involved in inflammation, immune response, cell cycle regulation.</text>
              </elementText>
            </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="52759">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="52760">
                <text>SARS, SARS-CoV-2, HIV-1, data mining, virus–host interactions, text mining</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="52761">
                <text>10.3390/molecules25122944</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="52762">
                <text>Biotemas</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="52763">
                <text>Universidade Federal de Santa Catarina</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="52764">
                <text>Organic chemistry</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
  </item>
  <item itemId="8270" public="1" featured="0">
    <fileContainer>
      <file fileId="8270">
        <src>https://socictopen.socict.org/files/original/05fd2e33bf0baf016cd02abd9eaa7513.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="71425">
                <text>Data in the time of COVID-19: a general methodology to select and secure a NoSQL DBMS for medical data</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="71426">
                <text>Kamal A. ElDahshan, AbdAllah A. AlHabshy, Gaber E. Abutaleb</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="71427">
                <text>Background As the COVID-19 crisis endures and the virus continues to spread globally, the need for collecting epidemiological data and patient information also grows exponentially. The race against the clock to find a cure and a vaccine to the disease means researchers require storage of increasingly large and diverse types of information; for doctors following patients, recording symptoms and reactions to treatments, the need for storage flexibility is only surpassed by the necessity of storage security. The volume, variety, and variability of COVID-19 patient data requires storage in NoSQL database management systems (DBMSs). But with a multitude of existing NoSQL DBMSs, there is no straightforward way for institutions to select the most appropriate. And more importantly, they suffer from security flaws that would render them inappropriate for the storage of confidential patient data. Motivation This paper develops an innovative solution to remedy the aforementioned shortcomings. COVID-19 patients, as well as medical professionals, could be subjected to privacy-related risks, from abuse of their data to community bullying regarding their medical condition. Thus, in addition to being appropriately stored and analyzed, their data must imperatively be highly protected against misuse. Methods This paper begins by explaining the five most popular categories of NoSQL databases. It also introduces the most popular NoSQL DBMS types related to each one of them. Moreover, this paper presents a comparative study of the different types of NoSQL DBMS, according to their strengths and weaknesses. This paper then introduces an algorithm that would assist hospitals, and medical and scientific authorities to choose the most appropriate type for storing patients’ information. This paper subsequently presents a set of functions, based on web services, offering a set of endpoints that include authentication, authorization, auditing, and encryption of information. These functions are powerful and effective, making them appropriate to store all the sensitive data related to patients. Results and Contributions This paper presents an algorithm to select the most convenient NoSQL DBMS for COVID-19 patients, medical staff, and organizations data. In addition, the paper proposes innovative security solutions that eliminate the barriers to utilizing NoSQL DBMSs to store patients’ data. The proposed solutions resolve several security problems including authentication, authorization, auditing, and encryption. After implementing these security solutions, the use of NoSQL DBMSs will become a much more appropriate, safer, and affordable solution to storing and analyzing patients’ data, which would contribute greatly to the medical and research effort against COVID-19. This solution can be implemented for all types of NoSQL DBMSs; implementing it would result in highly securing patients’ data, and protecting them from any downsides related to data leakage.</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="71428">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="71429">
                <text>NoSQL databases, data base security, Key-value stores NoSQL systems, Document-based stores NoSQL systems, Column-based stores NoSQL systems, Graph stores NoSQL systems</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="71430">
                <text>10.7717/peerj-cs.297</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="71431">
                <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="71432">
                <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="71433">
                <text>Electronic computers. Computer science</text>
              </elementText>
            </elementTextContainer>
          </element>
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    </elementSetContainer>
  </item>
  <item itemId="6404" public="1" featured="0">
    <fileContainer>
      <file fileId="6404">
        <src>https://socictopen.socict.org/files/original/ccef9871329df0103208dccaca692c15.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="56866">
                <text>Data mining of coronavirus: SARS-CoV-2, SARS-CoV and MERS-CoV</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="56867">
                <text>Jung Eun Huh, Seunghee Han, Taeseon Yoon</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="56868">
                <text>Abstract Objective In this study we compare the amino acid and codon sequence of SARS-CoV-2, SARS-CoV and MERS-CoV using different statistics programs to understand their characteristics. Specifically, we are interested in how differences in the amino acid and codon sequence can lead to different incubation periods and outbreak periods. Our initial question was to compare SARS-CoV-2 to different viruses in the coronavirus family using BLAST program of NCBI and machine learning algorithms. Results The result of experiments using BLAST, Apriori and Decision Tree has shown that SARS-CoV-2 had high similarity with SARS-CoV while having comparably low similarity with MERS-CoV. We decided to compare the codons of SARS-CoV-2 and MERS-CoV to see the difference. Though the viruses are very alike according to BLAST and Apriori experiments, SVM proved that they can be effectively classified using non-linear kernels. Decision Tree experiment proved several remarkable properties of SARS-CoV-2 amino acid sequence that cannot be found in MERS-CoV amino acid sequence. The consequential purpose of this paper is to minimize the damage on humanity from SARS-CoV-2. Hence, further studies can be focused on the comparison of SARS-CoV-2 virus with other viruses that also can be transmitted during latent periods.</text>
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            <name>Date</name>
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                <text>2021</text>
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            <name>Subject</name>
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                <text>MERS-CoV, SARS-CoV, coronavirus, SARS-CoV-2, BLAST, Apriori</text>
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            <name>Identifier</name>
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                <text>10.1186/s13104-021-05561-4</text>
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            <name>Publisher</name>
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                <text>Korean Society of Epidemiology</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), Medicine, Science (General)</text>
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              <name>Title</name>
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                  <text>Coronavirus</text>
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              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Data on an Austrian Company's Productivity in the Pre-Covid-19 Era, During the Lockdown and After Its Easing: To Work Remotely or Not?</text>
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                <text>Michal Beno, Jozef Hvorecky</text>
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                <text>The Covid-19 crisis across the world has increased the proportion of e-working. The transition from cubicles to the home office raised many questions in connection with companies adopting the new working conditions. Our paper provides recent evidence on the extent of this move, its impact on workplace evolution, productivity and the future prevalence of the face-to-display workplace after the easing of the lockdown. It uses data from 154 service employees of an Austrian sports and leisure product company obtained using online surveys on employees' opinions on e-working. By a coincidence, we conducted the first of them shortly prior to the epidemic. We decided to modify our planned research goals and decided to study their opinions during different Covid-19 stages. As a result, our findings do not follow all the academic standards. First, they are almost impossible to replicate due to the specific coincidence. Then, the shift in our aims leads us to minor changes in the content of the questionnaire. There are not only significant differences in the proportion of workers in the office and at home during the different periods of the lockdown. After its end, there was a significant increase in the number of those who had started working at home—more than one half. Compared to the period prior to the lockdown, they have a tolerant attitude to their work from home and believe that their productivity might remain the same. For many of them the change was an unavoidable obligation so they would prefer to return to the traditional workplace. The results suggest that more than one fifth want to continue working from home permanently, about one third more frequently than before, more than a quarter sometimes and just one seventh not at all. We studied the issues related to their productivity and its limits during all three stages. There are three important reasons for the fall in productivity related to e-working: (1) Providing childcare/home schooling, pet sitting and/or care for others while working (&amp;gt;one-fourth); (2) Work-from-home routine (&amp;gt;one-fourth); and (3) Having less work to do (&amp;gt;one-fifth).</text>
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                <text>2021</text>
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                <text>covid-19, Productivity, face-to-display workplace, fall in productivity, future prevalance</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="85118">
                <text>10.3389/fcomm.2021.641199</text>
              </elementText>
            </elementTextContainer>
          </element>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="85119">
                <text>Epidemiology and Health</text>
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            <name>Publisher</name>
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                <text>Korean Society of Epidemiology</text>
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            <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>
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                <text>Communication. Mass media</text>
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