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                  <text>Dominio científico: Coronavirus</text>
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                <text>Sistematización de experiencias en los aprendizajes con anclaje en la convivencia ciudadana</text>
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                <text>Juan Diego  Castrillón Cordovez</text>
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                <text>Este escrito ofrece una sistematización de experiencias docentes que se ordenó a identificar estrategias de aprendizaje para promover la convivencia ciudadana en contexto de conflictos.  Las experiencias tienen en cuenta enfoques determinados tanto por principios como resultados esperados desde consideraciones al estudiantado como centro del proceso de aprendizaje. Se ofrece como referente inmediato la reseña de actividades realizadas en tiempo de pandemia del Coronavirus con la invitación a la escucha activa grupos musicales y de cantantes con mensajes para favorecer la convivencia, como contextos para aplicar perspectivas de Pierre Bourdieu y Gianni Vattimo en particular orientados en clave global a quitarle el velo a prejuicios y estereotipos considerando que éste fue un objetivo modular.</text>
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                <text>convivencia ciudadana, competencia de la escucha, aprendizajes desde contextos</text>
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                <text>Sabia Revista Científica</text>
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                <text>Universidad del Pacífico</text>
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                <text>Social Sciences, Education</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>SENIOR AS ELECTOR AND E-ELECTOR IN COVID 19 PANDEMIC</text>
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                <text>Agnieszka BÓGDAŁ-BRZEZIŃSKA</text>
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                <text>The aim of the study is to show the senior as a voter and ICT user in particularly difficult conditions of the threat caused by the Covid 19 pandemic. The studies conducted in twenty seven countries and other studies from August 2020 showed that seniors and men are most exposed to the effects of the disease. This article assumes that e-voting is a safe election solution in a pandemic. Digital divide is a factor that still remains correlated with the age of citizens, even in countries considered technologically advanced. As older voters express more confidence in traditional forms of voting, their attitude slows down the implementation of e-voting in electoral systems. It can be seen that the conservative worldview goes hand in hand with the distrust of seniors in e-voting.</text>
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                <text>covid-19, election, voting, SENIOR, e-voting</text>
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                <text>Revista Română de Geografie Politică</text>
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                <text>Editura Universitatii din Oradea</text>
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                <text>Geography (General), International relations</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Covid-19 discloses unequal geographies</text>
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                <text>Kirsi Pauliina Kallio, Marcelo Lopes de Sousa, Katharyne Mitchell, Jouni Häkli, Simone Tulumello, Isabel Meier, Anna  Carastathis, Aila Spathopoulou, Myrto Tsilimpounidi, Gemma Bird, Amanda Russell Beattie, Jelena Obradovic-Wochnik, Patrycja Rozbicka, James Riding</text>
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                <text>The collective editorial discusses inequalities that scholars in Europe and the Americas world have paid attention to during 2020 when the Covid-19 pandemic has unevenly and unpredictably impacted on societies. The critical reflections reveal that the continuing ramifications of the pandemic can only be understood in place; like other large-scale phenomena, this exceptional global crisis concretizes very differently in distinct national, regional and local contexts. The pandemic intertwines with ongoing challenges in societies, for example those related to poverty, armed conflicts, migration, racism, natural hazards, corruption and precarious labor. Through collective contextual understanding, the editorial invites further attention to the unequal geographies made visible and intensified by the current pandemic.</text>
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                <text>10.11143/fennia.99514</text>
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                <text>Fennia: International Journal of Geography</text>
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                <text>Geographical Society of Finland</text>
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                <text>Geography (General)</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Global Carbon Budget 2020</text>
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                <text>P. Friedlingstein, R. A. Houghton, L. P. Chini, A. K. Jain, E. Kato, P. Landschützer, T. Tanhua, R. M. Andrew, S. Sitch, A. Arneth, S. Lienert, P. Ciais, A. J. Wiltshire, A. Olsen, F. Chevallier, P. P. Tans, I. Harris, D. Lombardozzi, S.-I. Nakaoka, D. Pierrot, H. Tian, A. J. Watson, T. Ilyina, G. Marland, B. Poulter, J. Pongratz, J. I. Korsbakken, G. P. Peters, Z. Liu, E. Robertson, C. Rödenbeck, S. Zaehle, J. E. M. S. Nabel, L. E. O. C. Aragão, P. I. Palmer, W. Evans, P. M. Forster, P. Friedlingstein, R. Séférian, E. Joetzjer, M. W. Jones, W. Peters, C. Le Quéré, R. B. Jackson, M. Becker, T. Gkritzalis, N. Gruber, N. Lefèvre, N. Metzl, T. Ono, M. O'Sullivan, J. Hauck, A. Olsen, W. Peters, J. Pongratz, J. G. Canadell, S. Alin, L. E. O. C. Aragão, V. Arora, N. R. Bates, N. R. Bates, M. Becker, A. Benoit-Cattin, H. C. Bittig, L. Bopp, S. Bultan, N. Chandra, N. Chandra, L. Florentie, T. Gasser, M. Gehlen, D. Gilfillan, L. Gregor, K. Hartung, K. Hartung, V. Haverd, K. Kadono, V. Kitidis, A. Lenton, G. Marland, D. R. Munro, D. R. Munro, Y. Niwa, Y. Niwa, K. O'Brien, K. O'Brien, P. I. Palmer, L. Resplandy, J. Schwinger, J. Schwinger, I. Skjelvan, I. Skjelvan, A. J. P. Smith, A. J. Sutton, B. Tilbrook, B. Tilbrook, G. van der Werf, N. Vuichard, A. P. Walker, R. Wanninkhof, D. Willis, W. Yuan, X. Yue</text>
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                <text>Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere in a changing climate – the “global carbon budget” – is important to better understand the global carbon cycle, support the development of climate policies, and project future climate change. Here we describe and synthesize data sets and methodology to quantify the five major components of the global carbon budget and their uncertainties. Fossil CO2 emissions (EFOS) are based on energy statistics and cement production data, while emissions from land-use change (ELUC), mainly deforestation, are based on land use and land-use change data and bookkeeping models. Atmospheric CO2 concentration is measured directly and its growth rate (GATM) is computed from the annual changes in concentration. The ocean CO2 sink (SOCEAN) and terrestrial CO2 sink (SLAND) are estimated with global process models constrained by observations. The resulting carbon budget imbalance (BIM), the difference between the estimated total emissions and the estimated changes in the atmosphere, ocean, and terrestrial biosphere, is a measure of imperfect data and understanding of the contemporary carbon cycle. All uncertainties are reported as ±1σ. For the last decade available (2010–2019), EFOS was 9.6&amp;thinsp;±&amp;thinsp;0.5&amp;thinsp;GtC&amp;thinsp;yr−1 excluding the cement carbonation sink (9.4&amp;thinsp;±&amp;thinsp;0.5&amp;thinsp;GtC&amp;thinsp;yr−1 when the cement carbonation sink is included),  and ELUC was 1.6&amp;thinsp;±&amp;thinsp;0.7&amp;thinsp;GtC&amp;thinsp;yr−1. For the same decade, GATM was 5.1&amp;thinsp;±&amp;thinsp;0.02&amp;thinsp;GtC&amp;thinsp;yr−1 (2.4&amp;thinsp;±&amp;thinsp;0.01&amp;thinsp;ppm&amp;thinsp;yr−1), SOCEAN 2.5&amp;thinsp;±&amp;thinsp; 0.6&amp;thinsp;GtC&amp;thinsp;yr−1, and SLAND 3.4&amp;thinsp;±&amp;thinsp;0.9&amp;thinsp;GtC&amp;thinsp;yr−1, with a budget imbalance BIM of −0.1&amp;thinsp;GtC&amp;thinsp;yr−1 indicating a near balance between estimated sources and sinks over the last decade. For the year 2019 alone, the growth in EFOS was only about 0.1&amp;thinsp;% with fossil emissions increasing to 9.9&amp;thinsp;±&amp;thinsp;0.5&amp;thinsp;GtC&amp;thinsp;yr−1 excluding the cement carbonation sink (9.7&amp;thinsp;±&amp;thinsp;0.5&amp;thinsp;GtC&amp;thinsp;yr−1 when cement carbonation sink is included), and ELUC was 1.8&amp;thinsp;±&amp;thinsp;0.7&amp;thinsp;GtC&amp;thinsp;yr−1, for total anthropogenic CO2 emissions of 11.5&amp;thinsp;±&amp;thinsp;0.9&amp;thinsp;GtC&amp;thinsp;yr−1 (42.2&amp;thinsp;±&amp;thinsp;3.3&amp;thinsp;GtCO2). Also for 2019, GATM was 5.4&amp;thinsp;±&amp;thinsp;0.2&amp;thinsp;GtC&amp;thinsp;yr−1 (2.5&amp;thinsp;±&amp;thinsp;0.1&amp;thinsp;ppm&amp;thinsp;yr−1), SOCEAN was 2.6&amp;thinsp;±&amp;thinsp;0.6&amp;thinsp;GtC&amp;thinsp;yr−1, and SLAND was 3.1&amp;thinsp;±&amp;thinsp;1.2&amp;thinsp;GtC&amp;thinsp;yr−1, with a BIM of 0.3&amp;thinsp;GtC. The global atmospheric CO2 concentration reached 409.85&amp;thinsp;±&amp;thinsp;0.1&amp;thinsp;ppm averaged over 2019. Preliminary data for 2020, accounting for the COVID-19-induced changes in emissions, suggest a decrease in EFOS relative to 2019 of about −7&amp;thinsp;% (median estimate) based on individual estimates from four studies of −6&amp;thinsp;%, −7&amp;thinsp;%, −7&amp;thinsp;% (−3&amp;thinsp;% to −11&amp;thinsp;%), and −13&amp;thinsp;%. Overall, the mean and trend in the components of the global carbon budget are consistently estimated over the period 1959–2019, but discrepancies of up to 1&amp;thinsp;GtC&amp;thinsp;yr−1 persist for the representation of semi-decadal variability in CO2 fluxes. Comparison of estimates from diverse approaches and observations shows (1) no consensus in the mean and trend in land-use change emissions over the last decade, (2) a persistent low agreement between the different methods on the magnitude of the land CO2 flux in the northern extra-tropics, and (3) an apparent discrepancy between the different methods for the ocean sink outside the tropics, particularly in the Southern Ocean. This living data update documents changes in the methods and data sets used in this new global carbon budget and the progress in understanding of the global carbon cycle compared with previous publications of this data set (Friedlingstein et al., 2019; Le Quéré et al., 2018b, a, 2016, 2015b, a, 2014, 2013). The data presented in this work are available at https://doi.org/10.18160/gcp-2020 (Friedlingstein et al., 2020).</text>
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            <elementTextContainer>
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                <text>2020</text>
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            <name>Identifier</name>
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                <text>10.5194/essd-12-3269-2020</text>
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          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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                <text>Earth System Science Data</text>
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            <name>Publisher</name>
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                <text>Copernicus Publications</text>
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                <text>Environmental sciences, Geology</text>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
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                  <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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      <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>Title</name>
            <description>A name given to the resource</description>
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                <text>Re-infection with SARS-CoV-2 in Patients Undergoing Serial Laboratory Testing.</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="58391">
                <text>Adnan I Qureshi, William I Baskett, Wei Huang, Iryna Lobanova, S Hasan Naqvi, Chi-Ren Shyu</text>
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            <description>An account of the resource</description>
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              <elementText elementTextId="58392">
                <text>A better understanding of re-infection after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has become one of the healthcare priorities in the current pandemic. We determined the rate of re-infection, associated factors and mortality during follow up in a cohort of patients with SARS-CoV-2 infection. We analyzed 9,119 patients with SARS-CoV-2 infection who received serial tests in total of 62 healthcare facilities in United States between December 1, 2019 to November 13, 2020. Re-infection was defined by two positive tests separated by interval of greater than 90 days two after resolution of first infection was confirmed by two or more consecutive negative tests. We performed logistic regression analysis to identify demographic and clinical characteristics associated with re-infection. Re-infection was identified in 0.7% (n=63, 95% confidence interval [CI] 0.5%-0.9%) during follow up of 9,119 patients with SARS-CoV-2 infection. The mean period (±standard deviation [SD]) between two positive tests was 116 ± 21 days. A logistic regression analysis identified that asthma (odds ratio [OR] 1.9, 95% CI 1.1-3.2) and nicotine dependence/tobacco use (OR 2.7, 95% CI 1.6-4.5) were associated with re-infection. There was a significantly lower rate of pneumonia, heart failure, and acute kidney injury observed with re-infection compared with primary infection among the 63 patients with re-infection There were two deaths (3.2%) associated with re-infection. We identified a low rate of re-infection confirmed by laboratory tests in a large cohort of patients with SARS-CoV-2 infection. Although re-infection appeared to be milder than primary infection, there was associated mortality.</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="58393">
                <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>
            <elementTextContainer>
              <elementText elementTextId="58394">
                <text>coronavirus, covid-19, SARS-CoV-2, Reinfection, Laboratory tests</text>
              </elementText>
            </elementTextContainer>
          </element>
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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="58395">
                <text>10.1093/cid/ciab345</text>
              </elementText>
            </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="58396">
                <text>Clinical infectious diseases : an official publication of the Infectious Diseases Society of America</text>
              </elementText>
            </elementTextContainer>
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      <file fileId="6595">
        <src>https://www.socictopen.socict.org/files/original/21adc1064727cc5de832e33482d21f8e.pdf</src>
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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>
          <elementContainer>
            <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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            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
              <elementTextContainer>
                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
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              </elementTextContainer>
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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="58397">
                <text>UAV, Digital Processing and Vectorization Techniques Applied to Building Condition Assessment and Follow-up</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="58398">
                <text>Carles Serrat*, Sebastian Banaszek, Anna Cellmer, Vicenç Gibert, Anna Banaszek</text>
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            </elementTextContainer>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="58399">
                <text>The aim of the paper is to explain the basic principles of carrying out an inventory and follow-up of buildings and their condition assessment, by using the Full Interactive Visualization Method for Building Condition Assessment platform. It is a platform enabling the implementation of construction inventory based on the remote cooperation of many specialists in the field of, among others: building construction, architecture, civil engineering, photogrammetry, CAD, UAV. This type of cooperation is of particular importance especially in the context of the current epidemiological situation related to COVID-19. The idea of the presented platform fits into the broadly understanding of Building Information Modeling. After introducing the methodology, stages of the inventory and follow-up process carried out within the platform are illustrated and discussed on the basis of a case study. Based on the obtained results it can be concluded that the proposed methodology creates a convenient, efficient and inexpensive tool for massive inspection of building resources in large areas. The inventory is based primarily on high-quality photo and video material obtained from the deck of an unmanned aerial vehicle and the expert knowledge of the inspector conducting the inspection. By combining digital images data (photos, 3D model, orthophotos) with substantive data (facade element classification tables, wear / defect classification tables), we get a platform that allows intuitive access to viewing, classification, editing and analysis of selected data.</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="58400">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="58401">
                <text>monitoring, GIS, bim, UAV, building condition assessment</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="58402">
                <text>Tehnički Glasnik</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="58403">
                <text>University North</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="58404">
                <text>Technology</text>
              </elementText>
            </elementTextContainer>
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  <item itemId="6596" public="1" featured="0">
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        <src>https://www.socictopen.socict.org/files/original/2c5d90380620625ecb33f96e1e5afcdd.pdf</src>
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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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            <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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      <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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                <text>Humidity and Deposition Solution Play a Critical Role in Virus Inactivation by Heat Treatment of N95 Respirators.</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="58406">
                <text>Nicole Rockey, Peter J Arts, Lucinda Li, Katherine R Harrison, Kathryn Langenfeld, William J Fitzsimmons, Adam S Lauring, Nancy G Love, Keith S Kaye, Lutgarde Raskin, William W Roberts, Bridget Hegarty, Krista R Wigginton</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="58407">
                <text>Supply shortages of N95 respirators during the coronavirus disease 2019 (COVID-19) pandemic have motivated institutions to develop feasible and effective N95 respirator reuse strategies. In particular, heat decontamination is a treatment method that scales well and can be implemented in settings with variable or limited resources. Prior studies using multiple inactivation methods, however, have often focused on a single virus under narrowly defined conditions, making it difficult to develop guiding principles for inactivating emerging or difficult-to-culture viruses. We systematically explored how temperature, humidity, and virus deposition solutions impact the inactivation of viruses deposited and dried on N95 respirator coupons. We exposed four virus surrogates across a range of structures and phylogenies, including two bacteriophages (MS2 and phi6), a mouse coronavirus (murine hepatitis virus [MHV]), and a recombinant human influenza A virus subtype H3N2 (IAV), to heat treatment for 30 min in multiple deposition solutions across several temperatures and relative humidities (RHs). We observed that elevated RH was essential for effective heat inactivation of all four viruses tested. For heat treatments between 72°C and 82°C, RHs greater than 50% resulted in a &gt;6-log10 inactivation of bacteriophages, and RHs greater than 25% resulted in a &gt;3.5-log10 inactivation of MHV and IAV. Furthermore, deposition of viruses in host cell culture media greatly enhanced virus inactivation by heat and humidity compared to other deposition solutions, such as phosphate-buffered saline, phosphate-buffered saline with bovine serum albumin, and human saliva. Past and future heat treatment methods must therefore explicitly account for deposition solutions as a factor that will strongly influence observed virus inactivation rates. Overall, our data set can inform the design and validation of effective heat-based decontamination strategies for N95 respirators and other porous surfaces, especially for emerging viruses that may be of immediate and future public health concern.IMPORTANCE Shortages of personal protective equipment, including N95 respirators, during the coronavirus (CoV) disease 2019 (COVID-19) pandemic have highlighted the need to develop effective decontamination strategies for their reuse. This is particularly important in health care settings for reducing exposure to respiratory viruses, like severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus that causes COVID-19. Although several treatment methods are available, a widely accessible strategy will be necessary to combat shortages on a global scale. We demonstrate that the combination of heat and humidity inactivates a range of RNA viruses, including both viral pathogens and common viral pathogen surrogates, after deposition on N95 respirators and achieves the necessary virus inactivation detailed by the U.S. Food and Drug Administration guidelines to validate N95 respirator decontamination technologies. We further demonstrate that depositing viruses onto surfaces when suspended in culture media can greatly enhance observed inactivation, adding caution to how heat and humidity treatment methods are validated.</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="58408">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="58409">
                <text>coronavirus, influenza, Mouse hepatitis virus, Respirator, n95, inactivation, Decontamination, droplet, humidity, fomite, Heat, bacteriophages</text>
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          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="58410">
                <text>10.1128/mSphere.00588-20</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="58411">
                <text>mSphere</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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            <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>
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      <name>Text</name>
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                <text>Mental Health Status of Canadian Funeral Service Workers at the Beginning of the COVID-19 Pandemic.</text>
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                <text>Quentin Durand-Moreau, Jean-Michel Galarneau</text>
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                <text>To describe the mental health situation and job stress levels of Funeral Service Workers (FSW) during the first months of the pandemic. We conducted a cross-sectional study in Canada between May and July 2020. Funeral service professional organizations were asked to spread a questionnaire to their members including job description, assessment of anxiety (GAD-7), depression (PHQ-8), and job stress (effort-reward imbalance questionnaire). Fifty-eight FSW completed a questionnaire, 32% reported anxiety symptoms (GAD-7 &gt; 10), 29% reported depressive symptoms (PHQ-8 &gt; 10), 31% reported job stress. Women were more likely to report overcommitment (66.7% vs. 31.8%, P = 0.015). Levels of anxiety and depression identified in Canadian FSW were higher than those identified in other occupational groups during the first few months of the pandemic.</text>
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                <text>2021</text>
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            <name>Identifier</name>
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              <elementText elementTextId="58416">
                <text>10.1097/JOM.0000000000002204</text>
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            <name>Source</name>
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            <elementTextContainer>
              <elementText elementTextId="58417">
                <text>Journal of occupational and environmental medicine</text>
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        <src>https://www.socictopen.socict.org/files/original/9759b118c00636f8a191a9c7c1101069.pdf</src>
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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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            <element elementId="41">
              <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>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
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        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Neurologic Emergencies during the Coronavirus Disease 2019 Pandemic.</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="58419">
                <text>Julie G Shulman, Thomas Ford, Anna M Cervantes-Arslanian</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Although minor neurologic complications of coronavirus disease 2019 are common, life-threatening neurologic emergencies are rare. Acute ischemic stroke, intracerebral hemorrhage, venous sinus thrombosis, seizures, and posterior reversible encephalopathy syndrome have been described. Hospitals have seen significant changes in the volume of patients presenting with neurologic emergencies. We review what has thus far been published about the intersection of coronavirus disease 2019 and neurologic emergencies with particular attention to cerebrovascular disease and seizure. Considerations in managing the acute presentations of these conditions in the context of the pandemic can serve as a model for management of other neurologic emergencies.</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="58421">
                <text>2021</text>
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          <element elementId="49">
            <name>Subject</name>
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              <elementText elementTextId="58422">
                <text>covid-19, thrombolysis, seizure, Cerebrovascular disease, Neurologic emergencies</text>
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          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="58423">
                <text>10.1016/j.ncl.2021.02.007</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="58424">
                <text>Neurologic clinics</text>
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        <src>https://www.socictopen.socict.org/files/original/ae20b6c57ca6aeaa7ff8150b5611025c.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>
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                <elementText elementTextId="1">
                  <text>Coronavirus</text>
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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>
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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="58425">
                <text>Views on COVID-19 and Use of Face Coverings Among U.S. Youth.</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="58426">
                <text>Xochitl Amaro, Melissa DeJonckheere, Marika Waselewski, Abby Frank, Kao-Ping Chua</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="58427">
                <text>Little is known about the views of U.S. youth on COVID-19 or their use of face coverings. Closing this gap could facilitate messaging to promote COVID-19 risk mitigation behaviors. In July 2020, a five-question text message survey was sent to 1,087 youth aged 14-24 years. Questions assessed youths' perceptions regarding the likelihood of contracting COVID-19, the potential impact of contracting COVID-19 on their lives, the possibility of spreading COVID-19 to others, and their use of face coverings around others with whom they do not live. Coding was conducted to assign responses to discrete categories and to identify common themes. Of 1,087 eligible participants, 797 (73.3%) were included in analyses. Of these participants, 27.3% believed they would likely contract COVID-19 in the next few months, 90.3% believed contracting COVID-19 would have a moderate or significant impact on their lives, 86.0% were moderately or very concerned about spreading COVID-19, and 89.2% reported wearing face coverings all or most of the time. Factors affecting face covering use included the desire to avoid contracting and spreading COVID-19, peer influence, and policy mandates. Youths' perceptions regarding the risk of contracting COVID-19 varied, but most believed their lives would be adversely impacted if this occurred. Most youth were concerned about spreading COVID-19 and wore face coverings, but many made exceptions to face covering use when around close contacts. Public health campaigns may be most effective if they leverage positive peer influence and appeal to youths' desire not to spread COVID-19 to others.</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="58428">
                <text>2021</text>
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          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="58429">
                <text>covid-19, Adolescents, young adults</text>
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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="58430">
                <text>10.1016/j.jadohealth.2021.02.015</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="58431">
                <text>The Journal of adolescent health : official publication of the Society for Adolescent Medicine</text>
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          </element>
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