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              <name>Title</name>
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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Resilience in Times Of Pandemic: Is the Public Procurement Legal Framework Fit for Purpose?</text>
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                <text>Laura Alexandra Farca, Dacian Dragos</text>
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                <text>This article aims to analyze whether the legislation enacted in the field of public procurement in Romania, based on the 2014 EU Directives, is effective in fostering resilience of the public institutions and indirectly of communities, and to provide a fit-for-purpose mechanism for dealing with the pandemic generated by the new type of coronavirus, Sars-CoV-2. The article discusses the necessity of new rules meant to promote swiftly purchases during the state of emergency.Undoubtedly, the pandemic generated crisis has raised some serious challenges to which public procurement regulations is in principle properly equipped to deal with: urgent need for supplies, works and services, but also unemployment or protection of other disadvantaged categories of people. We argue that resorting to specific tools (negotiated procedures, framework-agreements, centralized procurement, sustainable and social procurement, reserved contracts) when carrying out swift interventions generated by the pandemic would have been more suitable during this health crisis or even for preventing the effects of this pandemic. Instead, the attention of the legislator has been concentrated only on (unnecessarily) exempting the swift purchases of medical equipment from the rule of law.</text>
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                <text>2020</text>
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            <description>The topic of the resource</description>
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                <text>resilience, transparency, public procurement, infringement, emergency state</text>
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                <text>10.24193/tras.SI2020.4</text>
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                <text>Biotemas</text>
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                <text>Universidade Federal de Santa Catarina</text>
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                <text>Political institutions and public administration (General)</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Using Geotagged Social Media Data to Explore Sentiment Changes in Tourist Flow: A Spatiotemporal Analytical Framework</text>
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                <text>Wei Jiang, Zhengan Xiong, Qin Su, Yi Long, Xiaoqing Song, Peng Sun</text>
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                <text>Understanding sentiment changes in tourist flow is critical in designing exciting experiences for tourists and promoting sustainable tourism development. This paper proposes a novel analytical framework to investigate the tourist sentiment changes between different attractions based on geotagged social media data. Our framework mainly focuses on visualizing the detailed sentiment changes of tourists and exploring the valuable spatiotemporal pattern of the sentiment changes in tourist flow. The tourists were first identified from social media users. Then, we accurately evaluated the tourist sentiment by constructing a Chinese sentiment dictionary, grammatical rule, and sentiment score. Based on the location information of social media data, we built and visualized the tourist flow network. Last, to further reveal the impact of attractions on the sentiment of tourist flow, the positive and negative sentiment profiles were generated by mining social media texts. We took Beijing, a famous tourist destination in China, as a case study. Our results revealed the following: (1) the temporal trend of tourist sentiment has seasonal characteristics and is significantly influenced by government control policies against COVID-19; (2) due to the impact of the attraction’s historical background, some tourist flows with highly decreased sentiment strength are linked to attractions; (3) on the long journey to the attraction, the sentiment strength of tourists decreases; and (4) bad traffic conditions can significantly decrease tourist sentiment. This study highlights the methodological implications of visualizing sentiment changes during collective tourist movement and provides comprehensive insight into the spatiotemporal pattern of tourist sentiment.</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>Spatiotemporal analysis, geotagged social media data, tourist flow, sentiment change</text>
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            <name>Identifier</name>
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                <text>10.3390/ijgi10030135</text>
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                <text>Epidemiology and Health</text>
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            <name>Publisher</name>
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                <text>Korean Society of Epidemiology</text>
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            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Geography (General)</text>
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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Data Science Techniques for COVID-19 in Intensive Care Units</text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Sergio Muñoz Lezcano, Fernando Carlos López Hernández, Alberto Corbi Bellot</text>
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            <description>An account of the resource</description>
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                <text>Data scientists aim to provide techniques and tools to the clinicians to manage the new coronavirus disease. Nowadays, new emerging tools based on Artificial Intelligence (AI), Image Processing (IP) and Machine Learning (ML) are contributing to the improvement of healthcare and treatments of different diseases. This paper reviews the most recent research efforts and approaches related to these new data driven techniques and tools in combination with the exploitation of the already available COVID-19 datasets. The tools can assist clinicians and nurses in efficient decision making with complex and heavily heterogeneous data, even in hectic and overburdened Intensive Care Units (ICU) scenarios. The datasets and techniques underlying these tools can help finding a more correct diagnosis. The paper also describes how these innovative AI+IP+ML-based methods (e.g., conventional X-ray imaging, clinical laboratory data, respiratory monitoring and automatic adjustments, etc.) can assist in the process of easing both the care of infected patients in ICUs and Emergency Rooms and the discovery of new treatments (drugs).</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>
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              <elementText elementTextId="59967">
                <text>2021</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="59968">
                <text>Biomarkers, machine learning, data mining, x-ray, Image Processing, coronavirus (COVID-19)</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>10.9781/ijimai.2020.11.008</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="59970">
                <text>International Journal of Interactive Multimedia and Artificial Intelligence</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="59971">
                <text>Universidad Internacional de La Rioja (UNIR)</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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              <elementText elementTextId="59972">
                <text>Technology</text>
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              <name>Title</name>
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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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                <text>Hypocalcemia: the quest for the cause of a major biochemical feature of COVID-19.</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="59974">
                <text>Luigi di Filippo, Anna Maria Formenti, Andrea Giustina</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>
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                <text>2020</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="59976">
                <text>10.1007/s12020-020-02525-9</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="59977">
                <text>Endocrine</text>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
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                <elementText elementTextId="1">
                  <text>Coronavirus</text>
                </elementText>
              </elementTextContainer>
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            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
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                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
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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>
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              <elementText elementTextId="59978">
                <text>MAVS-mediated apoptosis and its inhibition by viral proteins.</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="59979">
                <text>Yu Lei, Chris B Moore, Rachael M Liesman, Brian P O'Connor, Daniel T Bergstralh, Zhijian J Chen, Raymond J Pickles, Jenny P-Y Ting</text>
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            <description>An account of the resource</description>
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                <text>BackgroundHost responses to viral infection include both immune activation and programmed cell death. The mitochondrial antiviral signaling adaptor, MAVS (IPS-1, VISA or Cardif) is critical for host defenses to viral infection by inducing type-1 interferons (IFN-I), however its role in virus-induced apoptotic responses has not been elucidated.Principal findingsWe show that MAVS causes apoptosis independent of its function in initiating IFN-I production. MAVS-induced cell death requires mitochondrial localization, is caspase dependent, and displays hallmarks of apoptosis. Furthermore, MAVS(-/-) fibroblasts are resistant to Sendai virus-induced apoptosis. A functional screen identifies the hepatitis C virus NS3/4A and the Severe Acute Respiratory Syndrome coronavirus (SARS-CoV) nonstructural protein (NSP15) as inhibitors of MAVS-induced apoptosis, possibly as a method of immune evasion.SignificanceThis study describes a novel role for MAVS in controlling viral infections through the induction of apoptosis, and identifies viral proteins which inhibit this host response.</text>
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            <name>Date</name>
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                <text>2009</text>
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                <text>10.1371/journal.pone.0005466</text>
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            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="59983">
                <text>Epidemiology and Health</text>
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                <text>Korean Society of Epidemiology</text>
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                <text>Science, Medicine</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>
                </elementText>
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                <text>Intense co-circulation of non-influenza respiratory viruses during the first wave of pandemic influenza pH1N1/2009: a cohort study in Reunion Island.</text>
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                <text>Hervé Pascalis, Sarah Temmam, Magali Turpin, Olivier Rollot, Antoine Flahault, Fabrice Carrat, Xavier de Lamballerie, Patrick Gérardin, Koussay Dellagi</text>
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                <text>ObjectiveThe aim of the present study was to weigh up, at the community level, the respective roles played by pandemic Influenza (pH1N1) virus and co-circulating human Non-Influenza Respiratory Viruses (NIRVs) during the first wave of the 2009 pH1N1 pandemic.MethodsA population-based prospective cohort study was conducted in Reunion Island during the austral winter 2009 (weeks 30-44) that allowed identification of 125 households with at least one member who developed symptoms of Influenza-like illness (ILI). Three consecutive nasal swabs were collected from each household member (443 individuals) on day 0, 3 and 8 post-ILI report and tested for pH1N1 and 15 NIRVs by RT-PCR.ResultsTwo successive waves of viral infections were identified: a first wave (W33-37) when pH1N1 was dominant and co-circulated with NIRVs, sharply interrupted by a second wave (W38-44), almost exclusively composed of NIRVs, mainly human Rhinoviruses (hRV) and Coronaviruses (hCoV). Data suggest that some interference may occur between NIRVs and pH1N1 when they co-circulate within the same household, where NIRVs were more likely to infect pH1N1 negative individuals than pH1N1 positive peers (relative risk: 3.13, 95% CI: 1.80-5.46, P</text>
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                <text>2012</text>
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                <text>10.1371/journal.pone.0044755</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>
            <elementTextContainer>
              <elementText elementTextId="59992">
                <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>
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                <text>Science, Medicine</text>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
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                <elementText elementTextId="1">
                  <text>Coronavirus</text>
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              </elementTextContainer>
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            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
              <elementTextContainer>
                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
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      </elementSetContainer>
    </collection>
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      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
    </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>
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              <elementText elementTextId="59994">
                <text>Potential impact of introducing vaccines against COVID-19 under supply and uptake constraints in France: A modelling study.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="59995">
                <text>Laurent Coudeville, Ombeline Jollivet, Cedric Mahé, Sandra Chaves, Gabriela B Gomez</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="59996">
                <text>BackgroundThe accelerated vaccine development in response to the COVID-19 pandemic should lead to a vaccine being available early 2021, albeit in limited supply and possibly without full vaccine acceptance. We assessed the short-term impact of a COVID-19 immunization program with varying constraints on population health and non-pharmaceutical interventions (NPIs) needs.MethodsA SARS-CoV-2 transmission model was calibrated to French epidemiological data. We defined several vaccine implementation scenarios starting in January 2021 based on timing of discontinuation of NPIs, supply and uptake constraints, and their relaxation. We assessed the number of COVID-19 hospitalizations averted, the need for and number of days with NPIs in place over the 2021-2022 period.ResultsAn immunisation program under constraints could reduce the burden of COVID-19 hospitalizations by 9-40% if the vaccine prevents against infections. Relaxation of constraints not only reduces further COVID-19 hospitalizations (30-39% incremental reduction), it also allows for NPIs to be discontinued post-2021 (0 days with NPIs in 2022 versus 11 to 125 days for vaccination programs under constraints and 327 in the absence of vaccination).ConclusionFor 2021, COVID-19 control is expected to rely on a combination of NPIs and the outcome of early immunisation programs. The ability to overcome supply and uptake constraints will help prevent the need for further NPIs post-2021. As the programs expand, efficiency assessments will be needed to ensure optimisation of control policies post-emergency use.</text>
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            <name>Date</name>
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              <elementText elementTextId="59997">
                <text>2021</text>
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            <name>Identifier</name>
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              <elementText elementTextId="59998">
                <text>10.1371/journal.pone.0250797</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="59999">
                <text>Epidemiology and Health</text>
              </elementText>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="60000">
                <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="60001">
                <text>Science, Medicine</text>
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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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                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
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              </elementTextContainer>
            </element>
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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">
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            <description>A name given to the resource</description>
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                <text>Advance Care Planning: Promoting Effective and Aligned Communication in the Elderly (ACP-PEACE): the study protocol for a pragmatic stepped-wedge trial of older patients with cancer</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="60003">
                <text>Yuchiao Chang, Joshua R Lakin, James A Tulsky, Elise N Brannen, Michael K Paasche-Orlow, Charlotta Lindvall, Daniel A Gundersen, Areej El-Jawahri, Angelo Volandes, Julie Goldman, Brian Sipin, Michael J Barry, Kathryn I Pollak, Miji Sofela, Danielle Kennedy, S. Yousuf Zafar, Maria Torroella Carney, Diana Martins-Welch, Michael Qiu, Jody-Ann McLeggon, Craig E Devoe, Jon C. Tilburt, Charles L Loprinzi, Parvez A. Rahman, Jeremiah J. Stout, Aretha Delight Davis, Lisa M. Quintiliani</text>
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            <description>An account of the resource</description>
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              <elementText elementTextId="60004">
                <text>Introduction Advance care planning (ACP) is associated with improved health outcomes for patients with cancer, and its absence is associated with unfavourable outcomes for patients and their caregivers. However, older adults do not complete ACP at expected rates due to patient and clinician barriers. We present the original design, methods and rationale for a trial aimed at improving ACP for older patients with advanced cancer and the modified protocol in response to changes brought by the COVID-19 pandemic.Methods and analysis The Advance Care Planning: Promoting Effective and Aligned Communication in the Elderly study is a pragmatic, stepped-wedge cluster randomised trial examining a Comprehensive ACP Program. The programme combines two complementary evidence-based interventions: clinician communication skills training (VitalTalk) and patient video decision aids (ACP Decisions). We will implement the programme at 36 oncology clinics across three unique US health systems. Our primary outcome is the proportion of eligible patients with ACP documentation completed in the electronic health record. Our secondary outcomes include resuscitation preferences, palliative care consultations, death, hospice use and final cancer-directed therapy. From a subset of our patient population, we will collect surveys and video-based declarations of goals and preferences. We estimate 11 000 patients from the three sites will be enrolled in the study.Ethics and dissemination Regulatory and ethical aspects of this trial include Institutional Review Board (IRB) approval via single IRB of record mechanism at Dana-Farber Cancer Institute, Data Use Agreements among partners and a Data Safety and Monitoring Board. We plan to present findings at national meetings and publish the results.Trial registration number NCT03609177; Pre-results.</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>
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                <text>2020</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="60006">
                <text>10.1136/bmjopen-2020-040999</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="60007">
                <text>Epidemiology and Health</text>
              </elementText>
            </elementTextContainer>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="60008">
                <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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                <text>Medicine</text>
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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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      <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">
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                <text>UAS (drone) in Response to Coronavirus</text>
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            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="60011">
                <text>Vadim Kramar</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>This paper presents the result of investigation how Unmanned Aviation Systems were applied in the first half of 2020 in response to the coronavirus COVID-19 challenges. The application cases collected and referenced in this paper are pandemic specific only even though many of them may be considered as typical. Nevertheless, innovative technologies and applications that have originated during the pandemic period, are expected to evolve and adapt to other situations and shape the future markets.</text>
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                <text>2020</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>coronavirus, covid-19, drone, UAS</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="60015">
                <text>10.23919/FRUCT49677.2020.9211075</text>
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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="60016">
                <text>Proceedings of the XXth Conference of Open Innovations Association FRUCT</text>
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          <element elementId="45">
            <name>Publisher</name>
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              <elementText elementTextId="60017">
                <text>FRUCT</text>
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            </elementTextContainer>
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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>
            <elementTextContainer>
              <elementText elementTextId="60018">
                <text>Telecommunication</text>
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  <item itemId="6799" public="1" featured="0">
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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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          <element elementId="50">
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                <text>Layanan Pengetahuan tentang COVID-19 di Lembaga Informasi</text>
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            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="60020">
                <text>Rizki Nurislaminingsih</text>
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            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="60021">
                <text>Corona virus is causing anxiety for the community. Continuous reporting, rumors and the emergence of thousands of writings about corona on the internet add to the concern about the truth of the information content. Valid data and real information are needed to be a trusted source of knowledge. Information institutions becomes a bridge between the need for knowledge and the uncountable distribution of information. This paper aims to analyze the community's knowledge needs about COVID-19 and provide recommendations for activities that information agencies can undertake to meet needs. Patients with certain diseases, old age, and pregnant women need health knowledge according to the conditions of those who are considered to have a lower immune. Office workers, field workers, entrepreneurs, and students need knowledge of increased immunity, preventive measures and ways of treatment that are suitable for daily activities. Recommended activities that can be carried out by information institutions include: the data center can act as a valid data bank relating to the corona, the information center provides reliable information and the documentation center becomes document making agency. The library through the reference service provides reference knowledge about corona while the circulation service provides a collection of COVID-19.</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="60022">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="60023">
                <text>covid-19, knowledge services, information institutions</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="60024">
                <text>10.29240/tik.v4i1.1468</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="60025">
                <text>Tik Ilmeu: Jurnal Ilmu Perpustakaan dan Informasi</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="60026">
                <text>Institut Agama Islam Negeri (IAIN) Curup</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="60027">
                <text>Bibliography. Library science. Information resources</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
  </item>
</itemContainer>
