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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>A Systematic, Unbiased Mapping of CD8+ and CD4+ T Cell Epitopes in Yellow Fever Vaccinees</text>
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                <text>Morten Nielsen, Morten Nielsen, Anette Stryhn, Michael Kongsgaard, Michael Rasmussen, Mikkel Nors Harndahl, Thomas Østerbye, Maria Rosaria Bassi, Søren Thybo, Mette Gabriel, Morten Bagge Hansen, Jan Pravsgaard Christensen, Allan Randrup Thomsen, Soren Buus</text>
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                <text>Examining CD8+ and CD4+ T cell responses after primary Yellow Fever vaccination in a cohort of 210 volunteers, we have identified and tetramer-validated 92 CD8+ and 50 CD4+ T cell epitopes, many inducing strong and prevalent (i.e., immunodominant) T cell responses. Restricted by 40 and 14 HLA-class I and II allotypes, respectively, these responses have wide population coverage and might be of considerable academic, diagnostic and therapeutic interest. The broad coverage of epitopes and HLA overcame the otherwise confounding effects of HLA diversity and non-HLA background providing the first evidence of T cell immunodomination in humans. Also, double-staining of CD4+ T cells with tetramers representing the same HLA-binding core, albeit with different flanking regions, demonstrated an extensive diversification of the specificities of many CD4+ T cell responses. We suggest that this could reduce the risk of pathogen escape, and that multi-tetramer staining is required to reveal the true magnitude and diversity of CD4+ T cell responses. Our T cell epitope discovery approach uses a combination of (1) overlapping peptides representing the entire Yellow Fever virus proteome to search for peptides containing CD4+ and/or CD8+ T cell epitopes, (2) predictors of peptide-HLA binding to suggest epitopes and their restricting HLA allotypes, (3) generation of peptide-HLA tetramers to identify T cell epitopes, and (4) analysis of ex vivo T cell responses to validate the same. This approach is systematic, exhaustive, and can be done in any individual of any HLA haplotype. It is all-inclusive in the sense that it includes all protein antigens and peptide epitopes, and encompasses both CD4+ and CD8+ T cell epitopes. It is efficient and, importantly, reduces the false discovery rate. The unbiased nature of the T cell epitope discovery approach presented here should support the refinement of future peptide-HLA class I and II predictors and tetramer technologies, which eventually should cover all HLA class I and II isotypes. We believe that future investigations of emerging pathogens (e.g., SARS-CoV-2) should include population-wide T cell epitope discovery using blood samples from patients, convalescents and/or long-term survivors, who might all hold important information on T cell epitopes and responses.</text>
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                <text>2020</text>
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                <text>Immunogenicity, peptide-MHC tetramers, Yellow fever vaccination, CD4+ and CD8+ T cell epitope discovery, forward-reverse immunology, immunodominance and immunodomination</text>
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            <name>Identifier</name>
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                <text>10.3389/fimmu.2020.01836</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>Immunologic diseases. Allergy</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Where is an experienced medical educator when you need one?</text>
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                <text>Ian Wilson, Pathiyil Ravi  Shankar</text>
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                <text>2020</text>
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                <text>covid-19, Pandemic, Medical education, adaption</text>
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                <text>Epidemiology and Health</text>
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            <name>Publisher</name>
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              <elementText elementTextId="47013">
                <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>Medicine, Special aspects of education</text>
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              <name>Title</name>
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              <name>Description</name>
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                  <text>Dominio científico: Coronavirus</text>
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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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            <description>A name given to the resource</description>
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                <text>Three Quarters of People with SARS-CoV-2 Infection are Asymptomatic: Analysis of English Household Survey Data</text>
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                <text>Petersen I, Phillips A</text>
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                <text>Irene Petersen,1,2 Andrew Phillips3 1Research Department of Primary Care and Population Health, University College London, London, UK; 2Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark; 3Institute for Global Health, University College London, London, UKCorrespondence: Irene PetersenResearch Department of Primary Care and Population Health, University College London, Rowland Hill St., London NW3 2PF, UKTel +44 020 801 68032Email i.petersen@ucl.ac.ukBackground: To reduce transmission of SARS-CoV-2, it is important to identify those who are infectious. However, little is known about what proportion of infectious people are asymptomatic and potential &amp;ldquo;silent&amp;rdquo; transmitters. We evaluated the value of COVID-19 symptoms as a marker for SARS-CoV-2 infection from a representative English survey.Methods: We used data from the Office for National Statistics Coronavirus (COVID-19) Infection Survey pilot study. We estimated sensitivity, specificity, the proportion of asymptomatic cases (1 &amp;ndash; sensitivity), positive predictive value (PPV) and negative predictive value (NPV) of COVID-19 symptoms as a marker of infection using results of the SARS-CoV-2 test as the &amp;ldquo;gold standard&amp;rdquo;.Results: In total, there were 36,061 individuals with a SARS-CoV-2 test between 26 April and 27 June 2020. Of these, 625 (1.7%) reported symptoms on the day of the test. There were 115 (0.32%) with a positive SARS-CoV-2 test result. Of the 115, there were 27 (23.5%) who were symptomatic and 88 (76.5%) who were asymptomatic on the day of the test. Focusing on those with specific symptoms (cough, and/or fever, and/or loss of taste/smell), there were 158 (0.43%) with such symptoms on the day of the test. Of the 115 with a positive SARS-CoV-2, there were 16 (13.9%) reporting symptoms. In contrast, 99 (86.1%) did not report specific symptoms on the day of the test. The PPV for all symptoms was 4.3% and for the specific symptoms 10.1%. The specificity and NPV of symptoms were above 98%.Conclusion: COVID-19 symptoms are poor markers of SARS-CoV-2. Thus, 76.5% of this random sample who tested positive reported no symptoms, and 86.1% reported none of those specific to COVID-19. A more widespread testing programme is necessary to capture &amp;ldquo;silent&amp;rdquo; transmission and potentially prevent and reduce future outbreaks.Keywords: COVID-19 symptoms, SARS-CoV-2, sensitivity, asymptomatic SARS-CoV-2</text>
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                <text>2020</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="47019">
                <text>sensitivity, SARS-CoV-2, covid-19 symptoms, asymptomatic sars-cov2</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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                <text>Biotemas</text>
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                <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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                <text>Infectious and parasitic diseases</text>
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              <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>Text</name>
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            <description>A name given to the resource</description>
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                <text>Techno-Economic Evaluation of Hand Sanitiser Production Using Oil Palm Empty Fruit Bunch-Based Bioethanol by Simultaneous Saccharification and Fermentation (SSF) Process</text>
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              <elementText elementTextId="47024">
                <text>Misri Gozan, Andre Fahriz Perdana Harahap, Jabosar Ronggur Hamonangan Panjaitan, Catia Angli Curie, Muhammad Yusuf Arya Ramadhan, Penjit Srinophakun</text>
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                <text>Oil palm empty fruit bunch (OPEFB) is a potential raw material abundantly available for bioethanol production. However, the second-generation bioethanol is still not yet economically feasible. The COVID-19 pandemic increases the demand for ethanol as the primary ingredient of hand sanitisers. This study evaluates the techno-economic feasibility of hand sanitiser production using OPEFB-based bioethanol. OPEFB was alkaline-pretreated, and simultaneous saccharification and fermentation (SSF) was then performed by adding Saccharomyces cerevisiae and cellulose enzyme. The cellulose content of the OPEFB increased from 39.30% to 63.97% after pretreatment. The kinetic parameters of the OPEFB SSF at 35 °C, which included a µmax, ks, and kd of 0.018 h-1, 0.025 g/dm3, and 0.213 h-1, respectively, were used as input in SuperPro Designer® v9.0. The total capital investment (TCI) and annual operating costs (AOC) of the plant were $645,000 and $305,000, respectively, at the capacity of 2000 kg OPEFB per batch. The batch time of the modelled plant was 219 h, with a total annual production of 32,506.16 kg hand sanitiser. The minimum hand sanitiser selling price was found to be $10/L, achieving a positive net present value (NPV) of $108,000, showing that the plant is economically feasible.</text>
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                <text>2020</text>
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              <elementText elementTextId="47027">
                <text>economic analysis, Bioethanol, simultaneous saccharification and fermentation, Oil palm empty fruit bunch (OPEFB), hand sanitiser, SuperPro Designer®</text>
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            <name>Identifier</name>
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              <elementText elementTextId="47028">
                <text>10.3390/app10175987</text>
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            <name>Source</name>
            <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>
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              <elementText elementTextId="47030">
                <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), Chemistry, Engineering (General). Civil engineering (General), Technology, Physics</text>
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                <text>Air Quality Implications of COVID-19 in California</text>
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                <text>Yunsoo Choi, Shuai Pan, Jia Jung, Zitian Li, Xuewei Hou, Anirban Roy, H.  Oliver Gao</text>
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                <text>The COVID-19 pandemic has significantly affected human health and the economy. The implementation of social distancing practices to combat the virus spread, however, has led to a notable improvement in air quality. This study compared the surface air quality monitoring data from the United States Environmental Protection Agency (U.S. EPA)’s AirNow network during the period 20 March–5 May in 2020 to those in 2015–2019 from the Air Quality System (AQS) network over the state of California. The results indicated changes in fine particulate matter (PM2.5) of −2.04 ± 1.57 μg m−3 and ozone of −3.07 ± 2.86 ppb. If the air quality improvements persist over a year, it could potentially lead to 3970–8900 prevented premature deaths annually (note: the estimates of prevented premature deaths have large uncertainties). Public transit demand showed dramatic declines (~80%). The pandemic provides an opportunity to exhibit how substantially human behavior could impact on air quality. To address both the pandemic and climate change issues, better strategies are needed to affect behavior, such as ensuring safer shared mobility, the higher adoption of telecommuting, automation in the freight sector, and cleaner energy transition.</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>climate change, covid-19, Air quality, telecommuting, shared mobility</text>
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            <name>Identifier</name>
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                <text>10.3390/su12177067</text>
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            <name>Source</name>
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              <elementText elementTextId="47038">
                <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="47039">
                <text>Universidade Federal de Santa Catarina</text>
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              <elementText elementTextId="47040">
                <text>Environmental effects of industries and plants, Renewable energy sources, Environmental sciences</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>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>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Molecular and Serological Tests for COVID-19 a Comparative Review of SARS-CoV-2 Coronavirus Laboratory and Point-of-Care Diagnostics</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="47042">
                <text>Robert Kubina, Arkadiusz Dziedzic</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="47043">
                <text>Validated and accurate laboratory testing for Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is a crucial part of the timely management of Coronavirus Disease 2019 (COVID-19) disease, supporting the clinical decision-making process for infection control at the healthcare level and detecting asymptomatic cases. This would facilitate an appropriate treatment, a prompt isolation and consequently deceleration of the pandemic. Various laboratory tests can identify the genetic material of SARS-CoV-2 that causes COVID-19 in specimens, or specific anti-viral antibodies in blood/serum. Due to the current pandemic situation, a development of point-of-care diagnostics (POCD) allows us to substantially accelerate taking clinical decisions and implement strategic planning at the national level of preventative measures. This review summarizes and compares the available POCD and those currently under development, including quantitative reverse transcription PCR (RT-qPCR), serology immunoassays (SIAs) and protein microarray method (PMM) designed for standard and rapid COVID-19 diagnosis.</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="47044">
                <text>2020</text>
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            </elementTextContainer>
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            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="47045">
                <text>covid-19, SARS-CoV-2, RT-qPCR, in vitro diagnostic tests, serology immunoassays</text>
              </elementText>
            </elementTextContainer>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="47046">
                <text>10.3390/diagnostics10060434</text>
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            </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="47047">
                <text>Epidemiology and Health</text>
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            </elementTextContainer>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="47048">
                <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>
            <elementTextContainer>
              <elementText elementTextId="47049">
                <text>Medicine (General)</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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              <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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      <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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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>COVID-19 battle: Measures implemented at a tertiary eye care center in South India</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="47051">
                <text>Iva Rani Kalita, Harsh Vardhan Singh, Rengaraj Venkatesh, K Veena, Natarajan Vengadesan, K Kalaivendan</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>The spread of severe acute respiratory syndrome-coronavirus-2 has already taken on pandemic proportions, affecting over 100 countries in a matter of weeks. A global response to prepare health systems worldwide is imperative. Specific containment measures are needed to reduce the risk of spread while simultaneously maintaining the emergency health services. The purpose of this article is to propose the simple and effective measures implemented in our institution to ensure the minimum risk of COVID spread while taking care of the emergency patients. Effectiveness of these measures is still in the early phase of testing, but in view of lack of personal protective equipment for health caregivers, these measures could be implemented with ease and will be helpful in reducing the risk of exposure in both ophthalmic and nonophthalmic institutions.</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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              <elementText elementTextId="47053">
                <text>2020</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="47054">
                <text>covid, corona, severe acute respiratory syndrome coronavirus 2, ophthalmological measures</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>10.4103/kjo.kjo_48_20</text>
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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="47056">
                <text>Biotemas</text>
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            </elementTextContainer>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="47057">
                <text>Universidade Federal de Santa Catarina</text>
              </elementText>
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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="47058">
                <text>Ophthalmology</text>
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    <fileContainer>
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              <name>Title</name>
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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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        <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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            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Diagnosis of hair disorders during the COVID-19 pandemic: an introduction to teletrichoscopy.</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="47060">
                <text>M Randolph, A Al-Alola, A Tosti</text>
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                <text>2021</text>
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                <text>10.1111/jdv.16989</text>
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                <text>Journal of the European Academy of Dermatology and Venereology : JEADV</text>
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              <name>Title</name>
              <description>A name given to the resource</description>
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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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        <name>Dublin Core</name>
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            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Current Trends of Transformation of Labor Resources during Technological Changes</text>
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            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="47065">
                <text>Obelets Tetyana V.</text>
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            <description>An account of the resource</description>
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                <text>The aim of this work is to deepen the understanding of the impact of modern technological progress on the nature of transformation of the labor market, changes in the role of qualification level of the employed population, and determination of the skills and competences of employees necessary for forming competitiveness of labor resources and overcoming modern challenges in the labor market. The article presents an assessment of the potential of intra-industry polarization by individual types of economic activity, with consideration for the use of information and communication technologies (ICT) at enterprises. It is noted that information and communication technologies replace certain tasks performed by humans. Consequently, the share of employed among not only highly qualified and paid experts but low-skilled service personnel related to this sphere will increase as well. An assessment of the share of employees who used ICT in enterprises is performed. It is determined that, in Ukraine, the maximum number of employees who used ICT in their professional activities were employed in the fields of information technologies, telecommunications, as well as scientific and technical activities. The close to the Ukrainian average value share of employees using ICT in enterprises is observed in industry. The minimal use of ICT was in the field of transport, warehousing, postal and courier activities and water supply. The results obtained have allowed to single out a number of enterprises with the maximum potential for applying the latest technologies and reformatting the structure of the employed population. The role of skills and competences necessary for forming competitiveness of labor resources and overcoming various challenges in the labor market is determined. The core skills and competences for effective employment are defined with the use of the content-based model O*NET and proposed in the study. It is noted that promoting the development of non-routine skills is the most relevant strategy for the formation of labor competitiveness under modern conditions, especially as a result of the impulse created by the COVID-19 pandemic.</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>jobs, competences, potential, Use of ICT, competitiveness of enterprises</text>
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            <name>Identifier</name>
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                <text>10.32983/2222-0712-2020-2-153-159</text>
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                <text>Biotemas</text>
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              <elementText elementTextId="47071">
                <text>Universidade Federal de Santa Catarina</text>
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                <text>Economics as a science, Finance</text>
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                <text>Update Alert 2: Ventilation Techniques and Risk for Transmission of Coronavirus Disease, Including COVID-19.</text>
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                <text>Rebecca Thomas, Tamara Lotfi, Gian Paolo Morgano, Andrea Darzi, Marge Reinap</text>
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                <text>10.7326/L20-1211</text>
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                <text>Annals of internal medicine</text>
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