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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
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              <name>Description</name>
              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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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>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="66965">
                <text>Spectrum of CT appearance and CT severity index of COVID-19 pulmonary infection in correlation with age, sex, and PCR test: an Iraqi experience</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="66966">
                <text>Ammar Mosa Al-Mosawe, Hiba mohammed Abdulwahid, Noor Abbas Hummadi Fayadh</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="66967">
                <text>Abstract Background Since June 2020, an explosion in number of new COVID-19 patients has been reported in Iraq with a steady increment in new daily reported cases over the next 3 months. The limited number of PCR kits in the country and the increment in the number of new COVID-19 cases makes the role of CT scan examinations rising and becoming essential in aiding the health institutions in diagnosing and isolating infected patients and those in close contacts. This study will review the spectrum of CT pulmonary changes due to COVID-19 infection and estimate the CT severity score index and its relation to age, sex, and PCR test results. Results The ground glass opacities were the most common encountered pattern of pulmonary changes and were seen in (79%). There was strong positive correlation between higher CT severity score and male gender (p value = 0.0002, R 2 = 0.9). Also, there was significant correlation of CT severity score and increasing age (p value less than 0.00018). Significant correlation was seen between CT scan percentage of lung involvement and positive PCR test results (p value = 0.001917), as the CT severity index is increasing, the PCR test is more likely to be positive. Conclusions Chest CT is an important and fast imaging tool for the diagnosis of COVID-19-infected patients especially in developing countries. In addition, chest CT can predict the disease severity by showing the percentage of lung involvement and hence give an idea about the prognosis of the disease. Higher CT severity score is significantly correlated with male gender, older age group patients and likely positive PCR test.</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="66968">
                <text>2021</text>
              </elementText>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="66969">
                <text>PCR, covid-19, Chest CT, CT severity score index</text>
              </elementText>
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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="66970">
                <text>10.1186/s43055-021-00422-3</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="66971">
                <text>Biotemas</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="66972">
                <text>Universidade Federal de Santa Catarina</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="66973">
                <text>Medical physics. Medical radiology. Nuclear medicine</text>
              </elementText>
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  <item itemId="7641" public="1" featured="0">
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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>
                </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>
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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>
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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>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="66974">
                <text>Saxifraga spinulosa-Derived Components Rapidly Inactivate Multiple Viruses Including SARS-CoV-2</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="66975">
                <text>Yohei Takeda, Toshihiro Murata, Dulamjav Jamsransuren, Keisuke Suganuma, Yuta Kazami, Javzan Batkhuu, Duger Badral, Haruko Ogawa</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="66976">
                <text>Novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), influenza A virus (IAV), and norovirus (NV) are highly contagious pathogens that threaten human health. Here we focused on the antiviral potential of the medicinal herb, Saxifraga spinulosa (SS). Water-soluble extracts of SS were prepared, and their virus-inactivating activity was evaluated against the human virus pathogens SARS-CoV-2 and IAV; we also examined virucidal activity against feline calicivirus and murine norovirus, which are surrogates for human NV. Among our findings, we found that SS-derived gallocatechin gallate compounds were capable of inactivating all viruses tested. Interestingly, a pyrogallol-enriched fraction (Fr 1C) inactivated all viruses more rapidly and effectively than did any of the component compounds used alone. We found that 25 µg/mL of Fr 1C inactivated &gt;99.6% of SARS-CoV-2 within 10 s (reduction of ≥2.33 log10 TCID50/mL). Fr 1C resulted in the disruption of viral genomes and proteins as determined by gel electrophoresis, electron microscopy, and reverse transcription–PCR. Taken together, our results reveal the potential of Fr 1C for development as a novel antiviral disinfectant.</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="66977">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="66978">
                <text>Pandemic, SARS-CoV-2, medicinal herb, pyrogallol-enriched fraction, Saxifraga spinulosa, virus disinfectant</text>
              </elementText>
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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="66979">
                <text>10.3390/v12070699</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="66980">
                <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="66981">
                <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="66982">
                <text>Microbiology</text>
              </elementText>
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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>
        <elementContainer>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="66983">
                <text>Impact of COVID-19 Lockdown on Air Pollutants in a Coastal Area of the Yangtze River Delta, China, Measured by a Low-Cost Sensor Package</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="66984">
                <text>Jianmeng Chen, Lang Chen, Jingjing Li, Xiaobing Pang, Kangli Shi, Junliang Wang, Meng Xu</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="66985">
                <text>Ningbo is a major coastal city in the Yangtze River Delta region, China, with the largest cargo capacity in the world. We conducted a field campaign in Ningbo to measure the impact of the COVID-19 lockdown on air pollutants including NO2, O3 and CO from 21 January to 23 March 2020, using a home-made low-cost sensor package. The average concentrations of NO2, O3 and CO were observed to be 7.2, 37.5 and 648.5 ppb, respectively, during the lockdown. Compared with the previous year, the concentrations of NO2 and CO decreased by 63.1% and 6.9%, while the concentration of O3 increased by 37.9%. The significant reduction of NO2 concentration may be attributed to the reduced emissions of freighters and heavy trucks with lower port cargo throughput, which led to a decrease of NO concentration. The increase of O3 concentration was probably due to the lower titration of O3 by NO. After the lockdown, the concentrations of O3 and NO2 increased by 15.5% and 143.1%, respectively, compared with those during the lockdown. The temporal variations of the concentrations of NO2, O3 and CO measured by the sensor package were coincident with those obtained by the reference apparatus, which proves the sensor package to be suitable for air quality monitoring in field campaigns. This is the first time that a dramatic decrease in NO2 concentration in a coastal city due to a lockdown has been reported.</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="66986">
                <text>2021</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="66987">
                <text>air pollutants, NO&lt;sub&gt;2&lt;/sub&gt;, COVID-19 lockdown, Yangtze River Delta region, sensor package</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="66988">
                <text>10.3390/atmos12030345</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="66989">
                <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="66990">
                <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="66991">
                <text>Meteorology. Climatology</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
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  </item>
  <item itemId="7643" 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>
                </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>
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      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
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        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="66992">
                <text>Challenges in medical waste management amid COVID-19 pandemic in a megacity Dhaka</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="66993">
                <text>Golam Mahbub Faisal, M. Nazmul Hoque, M. Shamunir Rahman, Md Tofazzal Islam</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="66994">
                <text>The COVID-19 pandemic has altered global waste generation dynamics, which is a challenging task for poor countries having inefficient waste management system. On an average, 6,180 tons of medical waste (MW) during this COVID-19 pandemic is generated per month in the Dhaka city. This voluminous amount of MW generated in the Dhaka city is remained poorly managed, and thus, posing a serious threat to public health and environment. To protect any risk of spread of SARS-CoV-2 through MW, a concerted and prompt effort from municipal authorities, hospital administration, and concerned non-government organization (NGOs) is needed to adopt new ways of state-of-the-art, safe and cost-effective MW management system for the Dhaka city. Furthermore, research should be directed to find out to find out other potential sources (e.g. inanimate objects or aquatic bodies) of SARS-CoV-2 infections to track its spatial and temporal dynamics, and also to get early warning in case of future outbreaks. [ J Adv Biotechnol Exp Ther 2021; 4(1.000): 106-113]</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="66995">
                <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="66996">
                <text>management, SARS-CoV-2, Medical Waste, strategies, Dhaka</text>
              </elementText>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="66997">
                <text>10.5455/jabet.2021.d111</text>
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            </elementTextContainer>
          </element>
          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="66998">
                <text>Biotemas</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="66999">
                <text>Universidade Federal de Santa Catarina</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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              <elementText elementTextId="67000">
                <text>Biotechnology</text>
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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>New York FED Staff Nowcasts and Reality: What Can We Learn about the Future, the Present, and The Past? &lt;sup&gt;§&lt;/sup&gt;</text>
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                <text>Boriss Siliverstovs</text>
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                <text>We assess the forecasting performance of the nowcasting model developed at the New York FED. We show that the observation regarding a striking difference in the model’s predictive ability across business cycle phases made earlier in the literature also applies here. During expansions, the nowcasting model forecasts at best are at least as good as the historical mean model, whereas during the recessionary periods, there are very substantial gains corresponding in the reduction in MSFE of about 90% relative to the benchmark model. We show how the asymmetry in the relative forecasting performance can be verified by the use of such recursive measures of relative forecast accuracy as Cumulated Sum of Squared Forecast Error Difference (CSSFED) and Recursive Relative Mean Squared Forecast Error (based on Rearranged observations) (R2MSFE(+R)). Ignoring these asymmetries results in a biased judgement of the relative forecasting performance of the competing models over a sample as a whole, as well as during economic expansions, when the forecasting accuracy of a more sophisticated model relative to naive benchmark models tends to be overstated. Hence, care needs to be exercised when ranking several models by their forecasting performance without taking into consideration various states of the economy.</text>
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                <text>2021</text>
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                <text>covid-19, real-time data, US GDP, nowcasts</text>
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                <text>10.3390/econometrics9010011</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>Economics as a science</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Global Dynamics of a Discrete-Time MERS-Cov Model</text>
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                <text>Mahmoud  H. DarAssi, Mohammad  A. Safi, Morad Ahmad</text>
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                <text>In this paper, we have investigated the global dynamics of a discrete-time middle east respiratory syndrome (MERS-Cov) model. The proposed discrete model was analyzed and the threshold conditions for the global attractivity of the disease-free equilibrium (DFE) and the endemic equilibrium are established. We proved that the DFE is globally asymptotically stable when R0≤1. Whenever R˜0&gt;1, the proposed model has a unique endemic equilibrium that is globally asymptotically stable. The theoretical results are illustrated by a numerical simulation.</text>
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                <text>2021</text>
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                <text>MERS, Coronaviruses, global stability, Discrete-time model, equilibria, backward difference</text>
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                <text>10.3390/math9050563</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>Mathematics</text>
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            <element elementId="50">
              <name>Title</name>
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                  <text>Coronavirus</text>
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              <name>Description</name>
              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Multisystem Inflammatory Syndrome Associated with COVID-19 in Pediatrics: A Case Report in Saudi Arabia</text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Rola A. Sleiman, Waleed A. Okash, Abdulaziz S. Alruwaili, Dareen A. Elkhateeb, Ammar Youcef, Reham Harb</text>
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                <text>Coronavirus Disease 2019 (COVID-19) affects more adults than children worldwide, and infected children have low mortality rates; however, COVID-19 can be complicated by an inflammatory Kawasaki-like syndrome called multisystem inflammatory syndrome associated with COVID-19 (MIS-C). We report a case of MIS-C from Riyadh, Saudi Arabia, in a 4-year-old Saudi girl who presented with acute febrile gastroenteritis and persistent fever. Her condition improved spontaneously during admission and she did not require pediatric intensive care unit admission.</text>
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                <text>2020</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>diarrhea, covid-19, fever, conjunctivitis, abdominal pain, Multisystem inflammatory syndrome</text>
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            <description>An unambiguous reference to the resource within a given context</description>
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                <text>10.2991/dsahmj.k.201204.001</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>Medicine (General)</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Processing Big Data with Apache Hadoop in the Current Challenging Era of COVID-19</text>
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                <text>Otmane Azeroual, Renaud Fabre</text>
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            <description>An account of the resource</description>
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                <text>Big data have become a global strategic issue, as increasingly large amounts of unstructured data challenge the IT infrastructure of global organizations and threaten their capacity for strategic forecasting. As experienced in former massive information issues, big data technologies, such as Hadoop, should efficiently tackle the incoming large amounts of data and provide organizations with relevant processed information that was formerly neither visible nor manageable. After having briefly recalled the strategic advantages of big data solutions in the introductory remarks, in the first part of this paper, we focus on the advantages of big data solutions in the currently difficult time of the COVID-19 pandemic. We characterize it as an endemic heterogeneous data context; we then outline the advantages of technologies such as Hadoop and its IT suitability in this context. In the second part, we identify two specific advantages of Hadoop solutions, globality combined with flexibility, and we notice that they are at work with a “Hadoop Fusion Approach” that we describe as an optimal response to the context. In the third part, we justify selected qualifications of globality and flexibility by the fact that Hadoop solutions enable comparable returns in opposite contexts of models of partial submodels and of models of final exact systems. In part four, we remark that in both these opposite contexts, Hadoop’s solutions allow a large range of needs to be fulfilled, which fits with requirements previously identified as the current heterogeneous data structure of COVID-19 information. In the final part, we propose a framework of strategic data processing conditions. To the best of our knowledge, they appear to be the most suitable to overcome COVID-19 massive information challenges.</text>
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                <text>2021</text>
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                <text>Challenges, covid-19, Big Data, data processing, Unstructured Data, large amounts of data</text>
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                <text>10.3390/bdcc5010012</text>
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              <elementText elementTextId="67034">
                <text>Epidemiology and Health</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="67035">
                <text>Korean Society of Epidemiology</text>
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                <text>Technology</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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      <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>Ensino remoto emergencial: investigação dos fatores de aprendizado na educação superior</text>
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                <text>Nicole Cecchele Lago, Stela Xavier Terra, Carla Schwengber Ten Caten, José Luis Duarte Ribeiro</text>
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            <description>An account of the resource</description>
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                <text>Diante da pandemia do Coronavírus, o ensino remoto emergencial foi adotado por grande parte das instituições de ensino superior no mundo. Considerando as súbitas transformações e desafios nesse contexto, o artigo teve por objetivo identificar fatores importantes para o aprendizado no período de ensino remoto. Para tanto, um estudo quantitativo com fins explicativos foi conduzido. A questão de pesquisa foi investigada por meio de um experimento fatorial, realizado com 1069 alunos de graduação de uma universidade brasileira através de um questionário online. A análise de variância foi utilizada para avaliar o efeito dos fatores no aprendizado dos estudantes durante o período remoto. As descobertas revelam que as aulas diretas contribuem mais para o aprendizado dos alunos. Ainda, há uma leve preferência pela dinâmica de trabalho em grupos e pelo uso da plataforma Google Meet, sendo esta preferência maior para os alunos de hard-science. Especificamente, o estudo fornece orientações aos gestores universitários em direção à implementação das práticas mais favoráveis para o aprendizado durante o ensino remoto. Além disso, as descobertas podem auxiliar o desenvolvimento de estratégias para a criação de modelos educacionais resilientes e sustentáveis, baseados em práticas que potencializam o aprendizado dos alunos.</text>
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                <text>2021</text>
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                <text>covid-19, Ensino Remoto Emergencial, Educação Superior, Fatores de aprendizagem</text>
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                <text>10.21723/riaee.v16i2.14439</text>
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                <text>Responsabilidad social universitaria en tiempos de pandemia: mirada desde la función docente (Universidad de Antofagasta – Chile)</text>
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                <text>El presente artículo tiene como objetivo analizar la responsabilidad social universitaria en tiempos de pandemia, mirada desde la función docente en la promoción del autocuidado de los estudiantes. Para ello se utilizó un enfoque cuantitativo y diseño no experimental transeccional-descriptivo. Los participantes fueron 85 docentes de la carrera de pedagogía en educación básica de la Universidad de Antofagasta. Se aplicó muestreo probabilístico intencional y se utilizó cuestionario con escalamiento tipo Likert. Los resultados demostraron que los docentes manejan la responsabilidad social universitaria en tiempos de pandemia, sin embargo, necesitan fortalecer la promoción del autocuidado en los estudiantes y el manejo del conocimiento sobre pandemia con herramientas poderosas de cuidado, protección y resguardo para la vida. Los hallazgos encontrados permitieron concluir que los docentes deben promover estrategias de promoción del autocuidado, tales como el uso de podcast, vodcast, videos y cápsulas educativas que acceden a la comprensión de la pandemia COVID-19.</text>
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                <text>pandemia, Responsabilidad Social, Docente, Tiempo</text>
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                <text>Revista Ibero-Americana de Estudos em Educação</text>
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                <text>Universidade Estadual Paulista Júlio de Mesquita Filho</text>
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                <text>Education</text>
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