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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Case report of familial COVID-19 cluster associated with High prevalence of anosmia, ageusia, and gastrointestinal symptoms.</text>
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                <text>Michaela A. Ho, Elizabeth C. Ho, Bethany E Ho, Andrea P Ho</text>
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                <text>Patients with COVID-19 most commonly report respiratory symptoms, with a minority reporting gastrointestinal (GI) symptoms in currently available reports. Additionally, little is known about the symptoms of anosmia/hyposmia, ageusia, and dysgeusia anecdotally seen in COVID-19 patients, which may potentially be considered both GI and sensory/neurological manifestations of infection. We hope to clarify the prevalence of these symptoms and patterns of transmission within a family cluster. We interviewed 7 patients via oral inquiries and a questionnaire, collecting data on subject symptoms and their durations. Reverse transcriptase-polymerase chain reaction (RT-PCR) was used to confirm 2 of these cases. We report a familial cluster of 5 presumed and 2 confirmed COVID-19 cases, all of whom reported one or more GI symptoms and 5 of whom reported sensory symptoms of anosmia/hyposmia, ageusia/hypogeusia, and/or dysgeusia. This frequency of GI symptoms is high relative to currently available epidemiological reports, which also infrequently report on sensory symptoms. COVID-19 exhibits wide variation in duration, severity, and progression of symptoms, even within a familial cluster.</text>
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                <text>2020</text>
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                <text>covid-19, SARS-CoV-2, Case report, anosmia, family cluster, Ageusia, SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2), COVID-19, coronavirus disease of 2019, GI, gastrointestinal, RT-PCR, reverse transcriptase polymerase chain reaction</text>
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                <text>10.1016/j.idcr.2020.e00975</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Na+/K+-ATPase as a Target of Cardiac Glycosides for the Treatment of SARS-CoV-2 Infection</text>
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                <text>Cassiano Felippe Gonçalves-de-Albuquerque, Adriana Ribeiro Silva, Kauê Francisco Corrêa Souza e Souza, Kauê Francisco Corrêa Souza e Souza, Bianca Portugal Tavares Moraes, Bianca Portugal Tavares Moraes, Izabel Christina Nunes de Palmer Paixão, Izabel Christina Nunes de Palmer Paixão, Izabel Christina Nunes de Palmer Paixão, Patrícia Burth, Patrícia Burth, Adriana Ribeiro Silva, Cassiano Felippe Gonçalves-de-Albuquerque, Cassiano Felippe Gonçalves-de-Albuquerque, Cassiano Felippe Gonçalves-de-Albuquerque, Cassiano Felippe Gonçalves-de-Albuquerque</text>
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                <text>Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), identified for the first time in Wuhan, China, causes coronavirus disease 2019 (COVID-19), which moved from epidemic status to becoming a pandemic. Since its discovery in December 2019, there have been countless cases of mortality and morbidity due to this virus. Several compounds such as chloroquine, hydroxychloroquine, lopinavir-ritonavir, and remdesivir have been tested as potential therapies; however, no effective treatment is currently recommended by regulatory agencies. Some studies on respiratory non-enveloped viruses such as adenoviruses and rhinovirus and some respiratory enveloped viruses including human respiratory syncytial viruses, influenza A, parainfluenza, SARS-CoV, and SARS-CoV-2 have shown the antiviral activity of cardiac glycosides, correlating their effect with Na+/K+-ATPase (NKA) modulation. Cardiac glycosides are secondary metabolites used to treat patients with cardiac insufficiency because they are the most potent inotropic agents. The effects of cardiac glycosides on NKA are dependent on cell type, exposure time, and drug concentration. They may also cause blockage of Na+ and K+ ionic transport or trigger signaling pathways. The antiviral activity of cardiac glycosides is related to cell signaling activation through NKA inhibition. Nuclear factor kappa B (NFκB) seems to be an essential transcription factor for SARS-CoV-2 infection. NFκB inhibition by cardiac glycosides interferes directly with SARS-CoV-2 yield and inflammatory cytokine production. Interestingly, the antiviral effect of cardiac glycosides is associated with tyrosine kinase (Src) activation, and NFκB appears to be regulated by Src. Src is one of the main signaling targets of the NKA α-subunit, modulating other signaling factors that may also impair viral infection. These data suggest that Src-NFκB signaling modulated by NKA plays a crucial role in the inhibition of SARS-CoV-2 infection. Herein, we discuss the antiviral effects of cardiac glycosides on different respiratory viruses, SARS-CoV-2 pathology, cell signaling pathways, and NKA as a possible molecular target for the treatment of COVID-19.</text>
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                <text>2021</text>
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                <text>n/a, covid-19, SARS-CoV-2, cardiac glycosides, K ATPase, Molecular target</text>
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            <name>Identifier</name>
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                <text>10.3389/fphar.2021.624704</text>
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            <description>A related resource from which the described resource is derived</description>
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                <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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                <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>Therapeutics. Pharmacology</text>
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              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
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              <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>The youth e-cigarette epidemic: New estimates of JUUL Labs' revenue from youth users in the US.</text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Bekir Kaplan, Rajeev Cherukupalli, Kevin Welding, Ryan D Kennedy, Joanna E Cohen</text>
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                <text>Past 30-day e-cigarette use increased by 78% among high school students from 2017 to 2018, an increase attributable to pod-style devices. JUUL Labs (JUUL) insists they do not market their product to teenagers. We created several scenarios to estimate the percentages of JUUL's net revenue from adults and youth in the US in 2018. We used the number of youth (aged 12-17 years) and adults (aged ≥18 years) who reported using JUUL in the nationally representative Population Assessment of Tobacco and Health (PATH) Study wave 4 (Dec 2016-Jan 2018) to estimate the youth proportion of JUUL users. As a sensitivity analysis, we also used data from the nationally representative Truth Longitudinal Cohort (TLC) study to estimate the youth proportion of JUUL users. Based on this percentage, we then applied several scenarios to estimate JUUL's net revenue from youth in the US in 2018. From the PATH Study, 31% of JUUL users were youth (aged 12-17 years). In the TLC study, 30% of current JUUL users were aged 15-17 years. Given that JUUL's net revenue was $1.3 billion in 2018, we calculated that JUUL made between $130 million and $650 million of its net revenue from youth, depending on consumption scenarios. A substantial proportion of JUUL's profits in 2018 were a result of use by youth. It could be required that all e-cigarette companies actively ensure that use by youth is below a pre-determined small fraction of their sales, requiring that a high penalty be paid by those that fail to do so.</text>
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            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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                <text>2021</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>Adolescent, electronic nicotine delivery systems, Juul</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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                <text>10.18332/tid/133874</text>
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            <description>A related resource from which the described resource is derived</description>
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                <text>Tobacco induced diseases</text>
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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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            <description>A name given to the resource</description>
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                <text>A Novel Ensemble-based Classifier for Detecting the COVID-19 Disease for Infected Patients.</text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Prabh Deep Singh, Rajbir Kaur, Kiran Deep Singh, Gaurav Dhiman</text>
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                <text>The recently discovered coronavirus, SARS-CoV-2, which was detected in Wuhan, China, has spread worldwide and is still being studied at the end of 2019. Detection of COVID-19 at an early stage is essential to provide adequate healthcare to affected patients and protect the uninfected community. This paper aims to design and develop a novel ensemble-based classifier to predict COVID-19 cases at a very early stage so that appropriate action can be taken by patients, doctors, health organizations, and the government. In this paper, a synthetic dataset of COVID-19 is generated by a dataset generation algorithm. A novel ensemble-based classifier of machine learning is employed on the COVID-19 dataset to predict the disease. A convex hull-based approach is also applied to the data to improve the proposed novel, ensemble-based classifier's accuracy and speed. The model is designed and developed through the python programming language and compares with the most popular classifier, i.e., Decision Tree, ID3, and support vector machine. The results indicate that the proposed novel classifier provides a more significant precision, kappa static, root means a square error, recall, F-measure, and accuracy.</text>
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                <text>2021</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>coronavirus, covid-19, machine learning, artificial intelligence, Quality of service, ensemble classifier</text>
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            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="80522">
                <text>10.1007/s10796-021-10132-w</text>
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            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="80523">
                <text>Information systems frontiers : a journal of research and innovation</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Coming Out to Play: Privacy, Data Protection, Children’s Health, and COVID-19 Research</text>
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                <text>Michael J. S. Beauvais, Bartha Maria Knoppers, Bartha Maria Knoppers</text>
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                <text>The COVID-19 pandemic has underscored the need for new ways of thinking about data protection. This is especially so in the case of health research with children. The responsible use of children’s data plays a key role in promoting children’s well-being and securing their right to health and to privacy. In this article, we contend that a contextual approach that appropriately balances children’s legal and moral rights and interests is needed when thinking about data protection issues with children. We examine three issues in health research through a child-focused lens: consent to data processing, data retention, and data protection impact assessments. We show that these issues present distinctive concerns for children and that the General Data Protection Regulation provides few bright-line rules. We contend that there is an opportunity for creative approaches to children’s data protection when child-specific principles, such as the best interests of the child and the child’s right to be heard, are put into dialogue with the structure and logic of data protection law.</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="80511">
                <text>2021</text>
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            </elementTextContainer>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="80512">
                <text>Children, Pediatrics, privacy, research ethics, Data protection, health research</text>
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            </elementTextContainer>
          </element>
          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="80513">
                <text>10.3389/fgene.2021.659027</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="80514">
                <text>Epidemiology and Health</text>
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            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="80515">
                <text>Korean Society of Epidemiology</text>
              </elementText>
            </elementTextContainer>
          </element>
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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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              <elementText elementTextId="80516">
                <text>Genetics</text>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="1">
                  <text>Coronavirus</text>
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              </elementTextContainer>
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              <name>Description</name>
              <description>An account of the resource</description>
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                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
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              </elementTextContainer>
            </element>
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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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      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="80501">
                <text>Emergency remote learning during COVID-19 crisis: Students' engagement.</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="80502">
                <text>Soheil Salha, Zuheir N Khlaif, Bochra Kouraichi</text>
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          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="80503">
                <text>Student engagement in online learning enhance students performance and the outcomes of the learning process in online learning environment. The existed literature revealed various factors influencing student engagement in online leaning, however these studies were before the COVID-19 crisis. The purpose of the current paper is to explore the factors that influence student engagement in online learning during the COVID-19 crisis in middle school settings in developing countries where is a lack of studies about the factors influencing student's engagement in emergency remote learning during the crisis. A qualitative approach was used for data collection and analysis. Semi-structured interviews with 34 participants (14 students, 13 teachers, and 7 parents) were conducted for 20-30 min. Furthermore, online class observations were used for data collection; 13 online classes were observed. Each class was 40 min. A thematic analysis was used to categorize the findings into themes and subthemes. The findings of the study revealed that various factors influence student engagement in online learning during the crisis including infrastructure factors, cultural factors, digital inequality, and the threat to digital privacy. Cultural factors were the important factor that influences females because of parents' culture and their bias against females using online learning compared to male students. Teachers' presence and quality of content were the major factors that influence student engagement, where parental concerns, norms, and traditions emerged as the major factors in the crisis, influencing engagement. Most of the participants reported that teaching and learning online during the crisis has broadened the digital inequality and threatened their digital privacy which influenced negatively student engagement. The limitations of this research included the limited number of participants covering a large geographic area, and the research design using diverse and often limited educational software and delivery methods. Future studies could utilize a mixed-method approach and include more participants. The online version contains supplementary material available at 10.1007/s10639-021-10566-4.</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="80504">
                <text>2021</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="80505">
                <text>covid-19, online learning, remote learning, emergency remote teaching, ICT-based teaching</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="80506">
                <text>10.1007/s10639-021-10566-4</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="80507">
                <text>Education and information technologies</text>
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            </elementTextContainer>
          </element>
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  <item itemId="9668" public="1" featured="0">
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      <file fileId="9668">
        <src>https://www.socictopen.socict.org/files/original/eb21ae812e18c3d690950b4b2487b37e.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="80494">
                <text>Pediatric Vaccine Hesitancy and the Utilization of Antibody Measurements: A Novel Strategy with Implications for COVID 19.</text>
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            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="80495">
                <text>Amrita Dosanjh</text>
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            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="80496">
                <text>Vaccine hesitancy is a well researched area with implications for both public health and the health of children and their families The factors leading to vaccine hesitancy are often complex and involve fear of the healthcare system and the process of vaccine development, cultural viewpoints and experiences. Pediatric patients often rely on parental guidance and decision making, and this may result in a lack of immunization for some children. The availability of the COVID 19 vaccine has been widely anticipated, yet not all individuals will seek the vaccine. Once vaccines are available for children under the age of 16 years, this long-standing pediatric management issue may again emerge and impact public health. The clinical trial efficacy and safety data for children and adolescents less than 16 years of age are not yet available. A traditional approach is to discuss the concerns of the parent in relationship to presentation and review of American Association of Pediatrics (AAP) and CDC guidelines in the framework of medical and scientific explanations. This includes the presentation of efficacy and safety data. Therefore, the use of lab-based antibody testing adds scientific evidence and emphasizes the need for vaccination against SARS CoV-2 and other pathogens. The purpose of this commentary is to propose lab-based testing as a potential adjunctive strategy in addressing this public health concern. Further study of a pediatric population is required to assess the impact of the selective use of lab-based testing in improving vaccination rates among a pediatric population.</text>
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            </elementTextContainer>
          </element>
          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="80497">
                <text>2021</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="80498">
                <text>vaccine, antibody, Immunization</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="80499">
                <text>10.2147/JAA.S303309</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="80500">
                <text>Journal of asthma and allergy</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
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    </elementSetContainer>
  </item>
  <item itemId="9667" public="1" featured="0">
    <fileContainer>
      <file fileId="9667">
        <src>https://www.socictopen.socict.org/files/original/058c7104cc18721f9b0c046c9cd4a2c1.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="80488">
                <text>Application of Artificial Neural Network for Internal Combustion Engines: A State of the Art Review.</text>
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            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="80489">
                <text>Aditya Narayan Bhatt, Nitin Shrivastava</text>
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            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="80490">
                <text>The automotive industry is facing a crucial time. The transformation from internal combustion engines to new electrical technologies requires enormous investment, and hence the IC engines are likely to serve as a means of transportation for the coming decades. The search for sustainable green alternative fuel and operating parameter optimization is a current feasible solution and is a critical issue among the scientific community. Engine experiments are complicated, costly, and time-consuming, especially when the global economy is drastically down due to the COVID-19 pandemic and putting the limitation of social distancing. Industries are looking for proven computational solutions to address these issues. Recently, artificial neural network has been proven beneficial in several areas of engineering to reduce the time and experimentation cost. The IC engine is one of them. ANN has been used to predict and analyze different characteristics such as performance, combustion, and emissions of the IC engine to save time and energy. The complex nature of ANN may lead to computation time, energy, and space. Recent studies are centered on changing the network topology, deep learning, and design of ANN to get the highest performance. The present study summarizes the application of ANN to predict and optimize the complicated characteristics of various types of engines with different fuels. The study aims to investigate the network topologies adopted to design the model and thereafter statistical evaluation of the developed ANN models. A comparison of the ANN model with other prediction models is also presented.</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="80491">
                <text>2021</text>
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            </elementTextContainer>
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          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="80492">
                <text>10.1007/s11831-021-09596-5</text>
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            </elementTextContainer>
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          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="80493">
                <text>Archives of computational methods in engineering : state of the art reviews</text>
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            </elementTextContainer>
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  </item>
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    <fileContainer>
      <file fileId="9666">
        <src>https://www.socictopen.socict.org/files/original/a66a8d3659599faccdb75b9bda1acf28.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>
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      </elementSetContainer>
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    <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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      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="80481">
                <text>Contamination fear in the time of the COVID-19 pandemic: A moderated mediation quasi-experimental model of the effect of disgust on outgroup bias towards diaspora.</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="80482">
                <text>Andreea I Luca, Ioana R Podina, Rareș Boian</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="80483">
                <text>Disgust sensitivity plays a key role in generating and maintaining outgroup biases. To test our hypotheses, we used a quasi-experimental between-subjects design, in which participants were randomly assigned to a disgust induction condition (N = 102) or a non-induction neutral group (N = 92). The induction scenario featured the return of the diaspora to their home country due to COVID-19 concerns. In one scenario, the diaspora lied about the country they arrived from, and in the other, there was no moral transgression. We hypothesized that the effect of disgust sensitivity on dehumanization and aggressive tendencies passed through contamination fear and the moderated mediation model indicated that this indirect effect was stronger for participants in the disgust-induction than in the non-induction group. This effect was found for biological dehumanization and passive aggression outcomes, both related to outgroup bias. Consistent with the role of disgust as a disease-avoidance mechanism, our results suggest that disgust could facilitate stronger outgroup bias in the context of a high health threat, such as the COVID-19 pandemic.</text>
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            <name>Date</name>
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              <elementText elementTextId="80484">
                <text>2021</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="80485">
                <text>covid-19, , dehumanization, aggression, Disgust sensitivity, Moral disgust</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="80486">
                <text>10.1007/s12144-021-01775-8</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="80487">
                <text>Current psychology (New Brunswick, N.J.)</text>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="1">
                  <text>Coronavirus</text>
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              </elementTextContainer>
            </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>
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      </elementSetContainer>
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    <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>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="80474">
                <text>Wireless COVID-19 Telehealth: Leukocytes Encryption Guided by Amino Acid Matrix.</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="80475">
                <text>Joydeep Dey, Soumi Mukherjee</text>
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          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="80476">
                <text>In this era of wireless COVID-19 telehealth, visiting hospital for regular follow-ups could invite coronavirus in someone's body. Opting for proactive E-health services is the best thing. It helps the remote patients to share their confidential data through secured encryption. Telehealth services are emerging element in these proactive medical sciences. It helps the remote patients to share their confidential data through secured transmission. In this paper, amino acid guided matrix encoding scheme has been proposed. White blood cell count or Leukocute count is a dominant indicator of patients' health condition, even amid COVID-19. An abnormal growth in leukocyte count is mainly caused due to an infection, cancer, or any other severe symptoms. It initiates internal haematological inflammations, cardiovascular diseases, Type II diabetes, etc. Therefore, tracking leukocyte count may for disease diagnosis and further treatments. The leukocyte count is generally done in different pathologies, and the data evaluation needs the expertise of a pathologist. In this paper, a technique involving security measures to transmit the result of the histological test with the help of cryptography has been proposed. The data to be transferred to the concerned physician for further diagnosis with the help of proposed way of encryption using amino acids, which ensures no data loss, no data modification, no data theft in the middle of transmission. The proposed encryption method using the amino acid codes has produced results showing satisfactory performances such as p-values found to be 7.215544e-04 and 8.48904e-03 for the key stream and cipher key matrix monobit test respectively, and 8.10245e-04 and 8.10245e-04 for the key stream and cipher key matrix frequency test respectively. It may be used as a transmission module in any wireless COVID-19 Telehealth Systems.</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="80477">
                <text>2021</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="80478">
                <text>covid-19, electronic health, Leukocyte count, Isosceles triangle encryption</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="80479">
                <text>10.1007/s11277-021-08534-9</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="80480">
                <text>Wireless personal communications</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
  </item>
</itemContainer>
