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                  <text>Agricultura sostenible</text>
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                  <text>Dominio científico: Agricultura sostenible</text>
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                <text>Evaluación del efecto carryover de Clearsol y Clearsol Plus sobre avena, trigo y cebada</text>
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                <text>Andrea Vanesa Dipiano, Emanuel Alejandro Waiman</text>
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                <text>En el año 2000 BASF AG compró American Cyanamid y con ello la Tecnología Clearfield. Dicha tecnología es un sistema integrado de control de malezas que combina tolerancia genética de híbridos de cultivos no-transgénicos concebidos para ser utilizados en conjunto con herbicidas pertenecientes a la familia química de las imidazolinonas. Su modo de acción es la inhibición de la enzima de las plantas acetolactato sintetasa (ALS) requerida para la producción de aminoácidos esenciales. En consecuencia inhibe la síntesis de proteínas, afectando así al crecimiento celular y originando la muerte de las malezas. El primer Sistema de Producción Clearfield se lanzó en Estados Unidos para el maíz y desde entonces nuevas líneas de semillas Clearfield se han desarrollado y vendido en todo el mundo. En Argentina en el año 2003, la empresa BASF SA, registró el herbicida imazapir bajo la marca de Clearsol (24%) (CL) convirtiéndose en uno de los miembros más representativo de esta familia. El sistema Clearfield siguió evolucionando y con ello la aparición en el mercado de la nueva tecnología Clearsol Plus (CLPlus), cuyo primer componente es el herbicida imazamox (3.3%) y su segundo componente es imazapir (1.5%). Tanto imazapir como imazamox, son herbicidas de amplio espectro y persistentes en el suelo. Se aplican en postemergencia temprana del cultivo y primeros estadíos de malezas gramíneas y de hoja ancha. Imazapir e imazamox son ácidos débiles con valores de pKa de 3.6 y 3.3, respectivamente. A valores de pH entre 5 y 7 característicos de suelos agrícolas, estos compuestos existen principalmente en estado aniónico causando una unión débil con los coloides del suelo presentando una baja o nula adsorción. Por lo tanto aumenta su biodisponibilidad en el suelo, quedando disponible para los organismos del suelo, principal mecanismo de degradación. Existen antecedentes sobre efecto de carryover de residuos de imazapir e imazamox en la rotación de cultivos. Si bien ambos herbicidas son similares en cuanto a estructura molecular presentan diferentes potenciales de producir daños por carryover a los cultivos subsiguientes. Se planteó como objetivo evaluar el efecto de carryover de imazapir e imazamox aplicados en postemergencia temprana del cultivo de girasol sobre trigo, avena y cebada en ensayos de campo y laboratorio. Durante la campaña 2009-2010 se estableció un ensayo de girasol Clearfield bajo siembra directa en un lote de EEA Anguil del INTA. Los tratamientos definidos fueron: Clearsol DF (80) 100 gr.ha-1  (CL, imazapir 80 gr ia.ha-1), 200 gr.ha-1 (2CL, imazapir 160 gr ia.ha-1), Clearsol Plus (3.3 + 1.5) 1.2 L.ha-1 (CLPlus, imazamox 39.6 gr ia.ha-1  + imazapir 18 gr ia.ha-1 ) y 2.4 L/ha (2CLPlus; imazamox 79.2 gr ia.ha-1 + imazapir 36 gr ia.ha-1) y un tratamiento control (0). Luego de la cosecha de girasol se sembró trigo, avena y cebada. A la cosecha se midió rendimiento y producción de biomasa. Por otro lado, se condujeron bioensayos con las mismas especies. Se realizaron 5 muestreos: 164 DDA (días desde aplicación), 193 DDA, 217 DDA, 248 DDA y 276 DDA. Se concluyó que el ensayo de campo demostró que la cebada es una especie sumamente sensible a los residuos de imazamox en suelo. Los resultados obtenidos con los bioensayos ponen de manifiesto la escasa utilidad que poseen como herramienta de diagnóstico. Los estudios de carryover deberían ser complementados con estudios de adsorción/desorción para comprender la dinámica de las imidazolinonas en los suelos de interés.</text>
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                <text>2018</text>
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                <text>Semiárida</text>
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                <text>Universidad Nacional de La Pampa</text>
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                <text>Agriculture (General), Animal culture, Cattle</text>
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                <text>&lt;a href="https://cerac.unlpam.edu.ar/index.php/semiarida/article/view/2197" target="_blank" rel="noreferrer noopener"&gt;https://cerac.unlpam.edu.ar/index.php/semiarida/article/view/2197&lt;/a&gt;</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Positive Youth Development Through Leisure: Confronting the COVID-19 Pandemic</text>
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                <text>Andrea Vest Ettekal, Jennifer P. Agans</text>
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                <text>The COVID-19 pandemic has caused significant disruption in the lives of millions of people, including children and adolescents. Youth out-of-school time (OST) programs are essential ecological assets and their disruption during the pandemic may have a major impact on youth developmental pathways. Youth programs are one of the primary ways to promote positive youth development (PYD) and, in turn, develop healthy and thriving young adults who contribute positively to society. The pandemic raises the question of how to sustain developmentally oriented forms of youth leisure in times of crisis and, especially, how to support youth with few resources. Although there is considerable scientific evidence regarding the promotion of PYD through OST programs (e.g., sport, clubs, youth groups), public health initiatives to control the pandemic also curtail the delivery of such programs. Nevertheless, research on youth programs can be applied to help support PYD during the pandemic. In this commentary, we review key elements contributing to the effectiveness of youth development programs and provide ideas for how to sustain, adapt, and create these elements and bring them into unstructured leisure settings in the face of the pandemic. In doing so, we highlight particular challenges to implementation, surmise who may be most at risk, and present potential opportunities afforded by the unique situation. Throughout, we highlight innovative examples of adaptation exhibited in affected communities. We conclude with a call to action for researchers and practitioners to unite efforts to support PYD through leisure even in the face of crisis.</text>
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                <text>2020</text>
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                <text>Pandemic, Leisure, Out-of-school time, Positive youth development, “big three” features</text>
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                <text>10.5195/jyd.2020.962</text>
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                <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>Theory and practice of education</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>SARS Coronavirus Detection</text>
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                <text>Andreas  Nitsche, Brunhilde Schweiger, Heinz Ellerbrok, Matthias Niedrig, Georg Pauli</text>
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                <text>We developed a set of three real-time reverse transcription–polymerase chain reaction (PCR) assays that amplify three different regions of the SARS-associated coronavirus (SARS-CoV), can be run in parallel or in a single tube, and can detect</text>
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                <text>2004</text>
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                <text>coronavirus, SARS, Real-time RT-PCR, molecular diagnostics</text>
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                <text>DOI: 10.3201/eid1007.030678</text>
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                <text>Emerging Infectious Diseases</text>
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                <text>Infectious and parasitic diseases, Medicine</text>
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                <text>EN</text>
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                  <text>Coronavirus</text>
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              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>A Robotics Course during COVID-19: Lessons Learned and Best Practices for Online Teaching beyond the Pandemic</text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Andreas Birk, Evelina Dineva, Francesco Maurelli, Andreas Nabor</text>
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                <text>The article describes observations from the online teaching of a robotics class during the COVID-19 pandemic caused by SARS-CoV-2, also known as the coronavirus. The changes in the course structure and in the provided material lead to an unexpected increase in the grade performance of the students. The article provides a description and an analysis of the effects and their possible causes. In addition to a grade-performance analysis, further data from a university-wide and from a course-specific survey are used. The analysis of the effects and their possible causes is furthermore discussed in relation to the educational research literature. Some evidence for the general findings is provided, which are of interest for online teaching or blended learning in general, respectively, for teaching in robotics and related areas. These include some evidence for the benefits of asynchronous online teaching and for the role of social interaction, which may happen in self-organized, smaller peer groups, even without the intervention of the instructor. The findings and the extensive pointers to the literature can also provide useful guidelines for instructors of robotics courses when considering the use of online or blended teaching in the future beyond the COVID-19 pandemic.</text>
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                <text>2021</text>
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            <description>The topic of the resource</description>
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                <text>covid-19, Blended learning, Online teaching, Educational robotics, asynchronous online, synchronous online</text>
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                <text>10.3390/robotics10010005</text>
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                <text>Epidemiology and Health</text>
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                <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>Mechanical engineering and machinery</text>
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              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Agricultura sostenible</text>
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              <description>An account of the resource</description>
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                  <text>Dominio científico: Agricultura sostenible</text>
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                <text>Montología urbana: ciudades de montaña como enfoque de investigación transdisciplinaria</text>
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                <text>Andreas Haller, Axel Borsdorf</text>
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            <description>An account of the resource</description>
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                <text>La montología es un campo de investigación transdisciplinario que se compromete con el desarrollo sostenible de las regiones montañosas en el mundo. Sin embargo, las ciudades de montaña han sido, en ese contexto, escasamente estudiadas. Por este motivo, el objetivo de este capítulo es desarrollar una perspectiva montológica para el estudio de las ciudades de montaña. Una clave para entenderlas es su ubicación geográfica específica tanto en su entorno natural y cultural como en su localización topográfica. Esto, a su vez, está relacionado con los factores de accesibilidad y el alcance de bienes y servicios de ubicación central. De igual modo, el factor de ubicación está vinculado a numerosos factores de riesgo, tales como terremotos, vulcanismo, movimientos de tierras e inundaciones, que son exacerbados por el cambio climático. Además de eso, se presentan otros retos socioculturales que también son importantes para el desarrollo sostenible de las ciudades de montaña como son la peri y la pos-suburbanización, el turismo y la inmigración, entre otros. Para hacer frente a esos retos y lograr sostenibilidad, es necesario un enfoque transdisciplinario que abarque hombre y medioambiente, en el que participen expertos, responsables políticos y población.</text>
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                <text>2021</text>
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                <text>Asentamientos humanos, especificidades geográficas, investigación de la montaña, ubicación, urbanización</text>
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                <text>10.15446/rcdg.v30n2.92865</text>
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                <text>Cuadernos de Geografía: Revista Colombiana de Geografía</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="157472">
                <text>Universidad Nacional de Colombia</text>
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                <text>Geography (General)</text>
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                <text>&lt;a href="https://revistas.unal.edu.co/index.php/rcg/article/view/92865" target="_blank" rel="noreferrer noopener"&gt;https://revistas.unal.edu.co/index.php/rcg/article/view/92865&lt;/a&gt;</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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          <element elementId="50">
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                <text>Sex matters – a preliminary analysis of Middle East respiratory syndrome in the Republic of Korea, 2015</text>
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            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="6179">
                <text>Andreas Jansen, May Chiew, Frank Konings, Chin-Kei Lee, Ailan Li</text>
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            <name>Date</name>
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                <text>2015</text>
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                <text>Middle East respiratory syndrome, Republic of Korea, gender</text>
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                <text>DOI: 10.5365/wpsar.2015.6.3.002</text>
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            <name>Source</name>
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                <text>Western Pacific Surveillance and Response</text>
              </elementText>
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            <description>An entity responsible for making the resource available</description>
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                <text>World Health Organization</text>
              </elementText>
            </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>
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              <elementText elementTextId="6185">
                <text>Public aspects of medicine, Medicine</text>
              </elementText>
            </elementTextContainer>
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            <name>Language</name>
            <description>A language of the resource</description>
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              <elementText elementTextId="6186">
                <text>EN, ZH</text>
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        <src>https://socictopen.socict.org/files/original/4251834d8d07e57771c41e52c8122c15.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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              <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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            </element>
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      </elementSetContainer>
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      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
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      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="47674">
                <text>Evidence That Reduced Air and Road Traffic Decreased Artificial Night-Time Skyglow during COVID-19 Lockdown in Berlin, Germany</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="47675">
                <text>Andreas Jechow, Franz Hölker</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="47676">
                <text>Artificial skyglow, the brightening of the night sky by artificial light at night that is scattered back to Earth within the atmosphere, is detrimental to astronomical observations and has an impact on ecosystems as a form of light pollution. In this work, we investigated the impact of the lockdown caused by the COVID-19 pandemic on the urban skyglow of Berlin, Germany. We compared night sky brightness and correlated color temperature (CCT) measurements obtained with all-sky cameras during the COVID-19 lockdown in March 2020 with data from March 2017. Under normal conditions, we expected an increase in night sky brightness (or skyglow, respectively) and CCT because of the transition to LED. This is supported by a measured CCT shift to slightly higher values and a time series analysis of night-time light satellite data showing an increase in artificial light emission in Berlin. However, contrary to this observation, we measured a decrease in artificial skyglow at zenith by 20% at the city center and by more than 50% at 58 km distance from the center during the lockdown. We assume that the main cause for the reduction of artificial skyglow originates from improved air quality due to less air and road traffic, which is supported by statistical data and satellite image analysis. To our knowledge, this is the first reported impact of COVID-19 on artificial skyglow and we conclude that air pollution should shift more into the focus of light pollution research.</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="47677">
                <text>2020</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="47678">
                <text>coronavirus, covid-19, lockdown, Light pollution, artificial light at night, sky glow</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="47679">
                <text>10.3390/rs12203412</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="47680">
                <text>Epidemiology and Health</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="47681">
                <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>
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              <elementText elementTextId="47682">
                <text>Science</text>
              </elementText>
            </elementTextContainer>
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        <src>https://socictopen.socict.org/files/original/c122719bb4807059bcc27cf385120702.pdf</src>
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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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                <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>
          </elementContainer>
        </elementSet>
      </elementSetContainer>
    </collection>
    <itemType itemTypeId="1">
      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
    </itemType>
    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="80991">
                <text>The Coronavirus Network Explorer: mining a large-scale knowledge graph for effects of SARS-CoV-2 on host cell function</text>
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            </elementTextContainer>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="80992">
                <text>Andreas Krämer, Jean-Noël Billaud, Stuart Tugendreich, Dan Shiffman, Martin Jones, Jeff Green</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="80993">
                <text>Abstract Background Leveraging previously identified viral interactions with human host proteins, we apply a machine learning-based approach to connect SARS-CoV-2 viral proteins to relevant host biological functions, diseases, and pathways in a large-scale knowledge graph derived from the biomedical literature. Our goal is to explore how SARS-CoV-2 could interfere with various host cell functions, and to identify drug targets amongst the host genes that could potentially be modulated against COVID-19 by repurposing existing drugs. The machine learning model employed here involves gene embeddings that leverage causal gene expression signatures curated from literature. In contrast to other network-based approaches for drug repurposing, our approach explicitly takes the direction of effects into account, distinguishing between activation and inhibition. Results We have constructed 70 networks connecting SARS-CoV-2 viral proteins to various biological functions, diseases, and pathways reflecting viral biology, clinical observations, and co-morbidities in the context of COVID-19. Results are presented in the form of interactive network visualizations through a web interface, the Coronavirus Network Explorer (CNE), that allows exploration of underlying experimental evidence. We find that existing drugs targeting genes in those networks are strongly enriched in the set of drugs that are already in clinical trials against COVID-19. Conclusions The approach presented here can identify biologically plausible hypotheses for COVID-19 pathogenesis, explicitly connected to the immunological, virological and pathological observations seen in SARS-CoV-2 infected patients. The discovery of repurposable drugs is driven by prior knowledge of relevant functional endpoints that reflect known viral biology or clinical observations, therefore suggesting potential mechanisms of action. We believe that the CNE offers relevant insights that go beyond more conventional network approaches, and can be a valuable tool for drug repurposing. The CNE is available at https://digitalinsights.qiagen.com/coronavirus-network-explorer .</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="80994">
                <text>2021</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="80995">
                <text>covid-19, drug repurposing, network biology, knowledge graph</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="80996">
                <text>10.1186/s12859-021-04148-x</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="80997">
                <text>Biotemas</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="80998">
                <text>Universidade Federal de Santa Catarina</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>
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              <elementText elementTextId="80999">
                <text>Biology (General), Computer applications to medicine. Medical informatics</text>
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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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                <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>
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                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
          </elementContainer>
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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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              <elementText elementTextId="47183">
                <text>Efficacy of Corticosteroids in Patients with SARS, MERS and COVID-19: A Systematic Review and Meta-Analysis</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="47184">
                <text>Andreas Kronbichler, Lee Smith, Young  Joo Han, Ai Koyanagi, Louis Jacob, Gwang  Hun Jeong, Marco Solmi, Joaquim Radua, Keum  Hwa Lee, Jae  Il Shin, Jong  Yeob Kim, Sarah Cargnin, Salvatore Terrazzino, Jinhee Lee, Elena Dragioti, Jae  Seok Kim, Jae  Won Yang, Jun  Young Lee, Kalthoum Tizaoui, Sojung Yoon, Sung  Hwi Hong, Seohyun Ryu, Hans Oh, Ramy  Abou Ghayda</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>(1) Background: The use of corticosteroids in critical coronavirus infections, including severe acute respiratory syndrome (SARS), Middle East Respiratory Syndrome (MERS), or Coronavirus disease 2019 (COVID-19), has been controversial. However, a meta-analysis on the efficacy of steroids in treating these coronavirus infections is lacking. (2) Purpose: We assessed a methodological criticism on the quality of previous published meta-analyses and the risk of misleading conclusions with important therapeutic consequences. We also examined the evidence of the efficacy of corticosteroids in reducing mortality in SARS, MERS and COVID-19. (3) Methods: PubMed, MEDLINE, Embase, and Web of Science were used to identify studies published until 25 April 2020, that reported associations between steroid use and mortality in treating SARS/MERS/COVID-19. Two investigators screened and extracted data independently. Searches were restricted to studies on humans, and articles that did not report the exact number of patients in each group or data on mortality were excluded. We calculated odds ratios (ORs) or hazard ratios (HRs) under the fixed- and random-effect model. (4) Results: Eight articles (4051 patients) were eligible for inclusion. Among these selected studies, 3416 patients were diagnosed with SARS, 360 patients with MERS, and 275 with COVID-19; 60.3% patients were administered steroids. The meta-analyses including all studies showed no differences overall in terms of mortality (OR 1.152, 95% CI 0.631–2.101 in the random effects model, p = 0.645). However, this conclusion might be biased, because, in some studies, the patients in the steroid group had more severe symptoms than those in the control group. In contrast, when the meta-analysis was performed restricting only to studies that used appropriate adjustment (e.g., time, disease severity), there was a significant difference between the two groups (HR 0.378, 95% CI 0.221–0.646 in the random effects model, p &lt; 0.0001). Although there was no difference in mortality when steroids were used in severe cases, there was a difference among the group with more underlying diseases (OR 3.133, 95% CI 1.670–5.877, p &lt; 0.001). (5) Conclusions: To our knowledge, this study is the first comprehensive systematic review and meta-analysis providing the most accurate evidence on the effect of steroids in coronavirus infections. If not contraindicated, and in the absence of side effects, the use of steroids should be considered in coronavirus infection including COVID-19.</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="47186">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="47187">
                <text>coronavirus, severe acute respiratory syndrome (SARS), Middle East Respiratory Syndrome (MERS), corticosteroids, coronavirus disease 2019 (covid-19)</text>
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            </elementTextContainer>
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          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="47188">
                <text>10.3390/jcm9082392</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="47189">
                <text>Epidemiology and Health</text>
              </elementText>
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          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="47190">
                <text>Korean Society of Epidemiology</text>
              </elementText>
            </elementTextContainer>
          </element>
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            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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              <elementText elementTextId="47191">
                <text>Medicine</text>
              </elementText>
            </elementTextContainer>
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        <src>https://socictopen.socict.org/files/original/7108a575c64738f909494509afefcc3c.pdf</src>
        <authentication>97982e497ac861a2dff0153bd1d297f8</authentication>
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          <name>Dublin Core</name>
          <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
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                <elementText elementTextId="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>
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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>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="58486">
                <text>Assessing the Impact of COVID-19 on Bike-Sharing Usage: The Case of Thessaloniki, Greece</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="58487">
                <text>Andreas Nikiforiadis, Georgia Ayfantopoulou, Afroditi Stamelou</text>
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            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="58488">
                <text>The COVID-19 pandemic had a significant effect in urban mobility, while essential changes are being observed in travelers’ behavior. Travelers in many cases shifted to other transport modes, especially walking and cycling, for minimizing the risk of infection. This study attempts to investigate the impact that COVID-19 had on travelers’ perceptions towards bike-sharing systems and whether the pandemic could result in a greater or lesser share of trips that are being conducted through shared bikes. For that reason, a questionnaire survey was carried out in the city of Thessaloniki, Greece, and the responses of 223 people were analyzed statistically. The results of the analysis show that COVID-19 will not affect significantly the number of people using bike-sharing for their trips. However, for a proportion of people, bike-sharing is now more attractive. Moreover, the results indicate that bike-sharing is now more likely to become a more preferable mobility option for people who were previously commuting with private cars as passengers (not as drivers) and people who were already registered users in a bike-sharing system. The results also provide evidence about the importance of safety towards COVID-19 for engaging more users in bike-sharing, in order to provide them with a safe mobility option and contribute to the city’s resilience and sustainability.</text>
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          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="58489">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="58490">
                <text>covid-19, resilience, Pandemic, urban mobility, Bike sharing, modal shift</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="58491">
                <text>10.3390/su12198215</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="58492">
                <text>Biotemas</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="58493">
                <text>Universidade Federal de Santa Catarina</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="58494">
                <text>Environmental effects of industries and plants, Renewable energy sources, Environmental sciences</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
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    </elementSetContainer>
  </item>
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