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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>Endophytes from African Rice (&lt;i&gt;Oryza glaberrima&lt;/i&gt; L.) Efficiently Colonize Asian Rice (&lt;i&gt;Oryza sativa&lt;/i&gt; L.) Stimulating the Activity of Its Antioxidant Enzymes and Increasing the Content of Nitrogen, Carbon, and Chlorophyll</text>
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                <text>Anna Andreozzi, Silvia Romano, Roberto Defez, Carmen Bianco, Camilla Fagorzi, Lisa Cangioli, Pilar Prieto, Fousseyni Cisse, Oumar Niangado, Amadou Sidibé, Silvia Pianezze, Matteo Perini, Alessio Mengoni</text>
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            <description>An account of the resource</description>
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                <text>Bacterial endophytes support the adaptation of host plants to harsh environments. In this study, culturable bacterial endophytes were isolated from the African rice Oryza glaberrima L., which is well-adapted to grow with poor external inputs in the tropical region of Mali. Among these, six N-fixer strains were used to inoculate O. glaberrima RAM133 and the Asian rice O. sativa L. cv. Baldo, selected for growth in temperate climates. The colonization efficiency and the N-fixing activity were evaluated and compared for the two rice varieties. Oryza sativa-inoculated plants showed a fairly good colonization efficiency and nitrogenase activity. The inoculation of Oryza sativa with the strains Klebsiella pasteurii BDA134-6 and Phytobacter diazotrophicus BDA59-3 led to the highest nitrogenase activity. In addition, the inoculation of ‘Baldo’ plants with the strain P. diazotrophicus BDA59-3 led to a significant increase in nitrogen, carbon and chlorophyll content. Finally, ‘Baldo’ plants inoculated with Kl. pasteurii BDA134-6 showed the induction of antioxidant enzymes activity and the maintenance of nitrogen-fixation under salt stress as compared to the unstressed controls. As these endophytes efficiently colonize high-yielding crop varieties grown in cold temperate climates, they become good candidates to promote their growth under unfavorable conditions.</text>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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                <text>2021</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>1-aminocyclopropane-1-carboxylic acid (ACC) deaminase, Nitrogen fixation, Rice endophytic bacteria, antioxidative enzymes, indole-3-acetic acid (IAA), salt stress</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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                <text>10.3390/microorganisms9081714</text>
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            <description>A related resource from which the described resource is derived</description>
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                <text>Microorganisms</text>
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                <text>MDPI AG</text>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Biology (General)</text>
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            <description>A related resource</description>
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                <text>&lt;a href="https://www.mdpi.com/2076-2607/9/8/1714" target="_blank" rel="noreferrer noopener"&gt;https://www.mdpi.com/2076-2607/9/8/1714&lt;/a&gt;</text>
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              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
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              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>A Conceptual Model for Geo-Online Exploratory Data Visualization: The Case of the COVID-19 Pandemic</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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                <text>Anna Bernasconi, Silvia Grandi</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Responding to the recent COVID-19 outbreak, several organizations and private citizens considered the opportunity to design and publish online explanatory data visualization tools for the communication of disease data supported by a spatial dimension. They responded to the need of receiving instant information arising from the broad research community, the public health authorities, and the general public. In addition, the growing maturity of information and mapping technologies, as well as of social networks, has greatly supported the diffusion of web-based dashboards and infographics, blending geographical, graphical, and statistical representation approaches. We propose a broad conceptualization of Web visualization tools for geo-spatial information, exceptionally employed to communicate the current pandemic; to this end, we study a significant number of publicly available platforms that track, visualize, and communicate indicators related to COVID-19. Our methodology is based on (i) a preliminary systematization of actors, data types, providers, and visualization tools, and on (ii) the creation of a rich collection of relevant sites clustered according to significant parameters. Ultimately, the contribution of this work includes a critical analysis of collected evidence and an extensive modeling effort of Geo-Online Exploratory Data Visualization (Geo-OEDV) tools, synthesized in terms of an Entity-Relationship schema. The COVID-19 pandemic outbreak has offered a significant case to study how and how much modern public communication needs spatially related data and effective implementation of tools whose inspection can impact decision-making at different levels. Our resulting model will allow several stakeholders (general users, policy-makers, and researchers/analysts) to gain awareness on the assets of structured online communication and resource owners to direct future development of these important tools.</text>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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                <text>2021</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>covid-19, Crisis communication, Conceptual Modeling, Web-based GIS, Dashboards</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="87467">
                <text>10.3390/info12020069</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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                <text>Epidemiology and Health</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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                <text>Korean Society of Epidemiology</text>
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            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Information technology</text>
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              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
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            <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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              </elementTextContainer>
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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>Novel ELISA Protocol Links Pre-Existing SARS-CoV-2 Reactive Antibodies With Endemic Coronavirus Immunity and Age and Reveals Improved Serologic Identification of Acute COVID-19 via Multi-Parameter Detection</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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                <text>Anna C. Belkina, Anna C. Belkina, Jennifer E. Snyder-Cappione, Suryaram Gummuluru, Rachel R. Yuen, Dylan Steiner, Riley M.F. Pihl, Elizabeth Chavez, Alex Olson, Erika L. Smith, Lillia A. Baird, Filiz Korkmaz, Patricia Urick, Manish Sagar, Manish Sagar, Manish Sagar, Jacob L. Berrigan, Ronald B. Corley, Ronald B. Corley, Karen Quillen, Gustavo Mostoslavsky, Ian R. Rifkin, Ian R. Rifkin, Yachana Kataria, Amedeo J. Cappione, Wenda Gao, Nina H. Lin, Nahid Bhadelia, Nahid Bhadelia</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>The COVID-19 pandemic has drastically impacted work, economy, and way of life. Sensitive measurement of SARS-CoV-2 specific antibodies would provide new insight into pre-existing immunity, virus transmission dynamics, and the nuances of SARS-CoV-2 pathogenesis. To date, existing SARS-CoV-2 serology tests have limited utility due to insufficient reliable detection of antibody levels lower than what is typically present after several days of symptoms. To measure lower quantities of SARS-CoV-2 IgM, IgG, and IgA with higher resolution than existing assays, we developed a new ELISA protocol with a distinct plate washing procedure and timed plate development via use of a standard curve. Very low optical densities from samples added to buffer coated wells at as low as a 1:5 dilution are reported using this ‘BU ELISA’ method. Use of this method revealed circulating SARS-CoV-2 receptor binding domain (RBD) and nucleocapsid protein (N) reactive antibodies (IgG, IgM, and/or IgA) in 44 and 100 percent of pre-pandemic subjects, respectively, and the magnitude of these antibodies tracked with antibody levels of analogous viral proteins from endemic coronavirus (eCoV) strains. The disease status (HIV, SLE) of unexposed subjects was not linked with SARS-CoV-2 reactive antibody levels; however, quantities were significantly lower in subjects over 70 years of age compared with younger counterparts. Also, we measured SARS-CoV-2 RBD- and N- specific IgM, IgG, and IgA antibodies from 29 SARS-CoV-2 infected individuals at varying disease states, including 10 acute COVID-19 hospitalized subjects with negative serology results by the EUA approved Abbott IgG chemiluminescent microparticle immunoassay. Measurements of SARS-CoV-2 RBD- and N- specific IgM, IgG, IgA levels measured by the BU ELISA revealed higher signal from 9 of the 10 Abbott test negative COVID-19 subjects than all pre-pandemic samples for at least one antibody specificity/isotype, implicating improved serologic identification of SARS-CoV-2 infection via multi-parameter, high sensitive antibody detection. We propose that this improved ELISA protocol, which is straightforward to perform, low cost, and uses readily available commercial reagents, is a useful tool to elucidate new information about SARS-CoV-2 infection and immunity and has promising implications for improved detection of all analytes measurable by this platform.</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="77431">
                <text>2021</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>serology, covid-19, antibodies, SARS-CoV-2, receptor binding domain (RBD), nucleocapsid (N)</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="77433">
                <text>10.3389/fimmu.2021.614676</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="77434">
                <text>Epidemiology and Health</text>
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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="77435">
                <text>Korean Society of Epidemiology</text>
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            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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              <elementText elementTextId="77436">
                <text>Immunologic diseases. Allergy</text>
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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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              </elementTextContainer>
            </element>
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      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
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      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Can Bats Serve as Reservoirs for Arboviruses?</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="6442">
                <text>Anna C. Fagre, Rebekah C. Kading</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Bats are known to harbor and transmit many emerging and re-emerging viruses, many of which are extremely pathogenic in humans but do not cause overt pathology in their bat reservoir hosts: henipaviruses (Nipah and Hendra), filoviruses (Ebola and Marburg), and coronaviruses (SARS-CoV and MERS-CoV). Direct transmission cycles are often implicated in these outbreaks, with virus shed in bat feces, urine, and saliva. An additional mode of virus transmission between bats and humans requiring further exploration is the spread of disease via arthropod vectors. Despite the shared ecological niches that bats fill with many hematophagous arthropods (e.g. mosquitoes, ticks, biting midges, etc.) known to play a role in the transmission of medically important arboviruses, knowledge surrounding the potential for bats to act as reservoirs for arboviruses is limited. To this end, a comprehensive literature review was undertaken examining the current understanding and potential for bats to act as reservoirs for viruses transmitted by blood-feeding arthropods. Serosurveillance and viral isolation from either free-ranging or captive bats are described in relation to four arboviral groups (Bunyavirales, Flaviviridae, Reoviridae, Togaviridae). Further, ecological associations between bats and hematophagous viral vectors are characterized (e.g. bat bloodmeals in mosquitoes, ingestion of mosquitoes by bats, etc). Lastly, knowledge gaps related to hematophagous ectoparasites (bat bugs and bed bugs (Cimicidae) and bat flies (Nycteribiidae and Streblidae)), in addition to future directions for characterization of bat-vector-virus relationships are described.</text>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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                <text>2019</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>Arboviruses, bats, reservoir, wildlife, Zoonoses</text>
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            <description>An unambiguous reference to the resource within a given context</description>
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                <text>DOI: 10.3390/v11030215</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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                <text>Viruses</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Musei, territori, comunità interpretative: le nuove sfide della partecipazione/Museums, territories, interpretative communities: the new challenges of participation</text>
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                <text>Anna Chiara Cimoli</text>
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                <text>The following article focuses on the challenges of cultural participation within the context defined by the Covid-19 pandemic. While a background noise characterized by a sort of forced, compulsive digital interaction has been accompanying the months of lockdown, making many express a renewed optimism towards the massive interest in heritage as a form of resistance, the impoverishment of the sector is casting new light on the possibilities of its agency and social impact in the next future. Still, in confused times it is paramount to isolate a few sustainable and innovative practices and to observe them throughout time, much as in a scientific lab.   The article concentrates on two issues pertaining to the umbrella-concept of “participation”, and articulates each of them through a selection of recent case-studies from within the museum field: the role and agency of museums as mirrors in times of crisis and their capability of a “rapid response”, and heritage interpretation communities as a means for strengthening the social and cultural tissue through an intergenerational approach.   While the focus is on the Italian context, a few international experiences are also described as potential sources of inspiration in terms of strategy and methodology.</text>
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                <text>2020</text>
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                <text>10.13138/2039-2362/2528</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>Auxiliary sciences of history, Arts in general</text>
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                  <text>Agricultura sostenible</text>
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                  <text>Dominio científico: Agricultura sostenible</text>
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            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>A cidadania no meio rural: uma análise do Programa Nacional de Fortalecimento da Agricultura Familiar a partir da Teoria do Discurso</text>
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                <text>Anna Cláudia  Campos e Santos, Rennan Lanna Martins  Mafra</text>
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                <text>Tomando o Programa Nacional de Fortalecimento da Agricultura Familiar (Pronaf) como a principal resposta dada pelo Estado à institucionalização da cidadania no meio rural pós-Constituição de 1988, este trabalho busca por meio da divisão histórica demarcada de 1995-2002, realizar uma ressignificação histórica do desenvolvimento de tal programa, a partir do campo de discursividade existente em torno da criação e manutenção desta política nos governos de Fernando Henrique Cardoso (1995-2002). Para tal, a metodologia foi composta por uma abordagem baseada na teoria do discurso de Ernesto Laclau e Chantal Mouffe, tomando as práticas discursivas em torno do programa e evidenciando um contexto de disputas e de criação de novos lugares e não-lugares aos sujeitos envolvidos nas dinâmicas Estado-Sociedade.  Palavras-chave: Pronaf; Cidadania; Teoria do Discurso; Meio Rural.     Abstract  Program for the Strengthening of Family Farming (Pronaf) can be understood as the main response given by the State towards the institutionalization of citizenship in the countryside after the 1988 Constitution. This study aims to execute historical re-signification of the development of such program, starting from the discursive field around the creation and maintenance of the program in the mandates of Fernando Henrique Cardoso (1995-2002). For such, methodology was composed by an approach based on discourse theory of Ernesto Laclau and Chantal Mouffe, taking discursive practices around the program and evidencing a context of disputes and creation of new places and non-places to subjects involved in its dynamics.  Keywords: Pronaf; Citizenship; Discourse Theory; Countryside.     Resumem  Tomando el Programa Nacional de Fortalecimiento de la Agricultura Familiar (Pronaf) como la principal respuesta dada por el Estado a la institucionalización de la ciudadanía en el medio rural post-Constitución de 1988, este trabajo busca por medio de la división histórica demarcada de 1995-2002, la resignificación histórica del desarrollo de tal programa, a partir del campo de discursividad existente en torno a la creación y mantenimiento de esta política en los gobiernos de Fernando Henrique Cardoso (1995-2002). Para ello, la metodología se compuso de un enfoque basado en la teoría del discurso de Ernesto Laclau y Chantal Mouffe, tomando las prácticas discursivas en torno al programa y evidenciando un contexto de disputas y de creación de nuevos lugares y no lugares a los sujetos involucrados dinámicas Estado-Sociedad.  Palabras clave: Pronaf; Ciudadanía; Teoría del Discurso; Medio Rural.</text>
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                <text>2019</text>
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            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="150452">
                <text>Simbiótica</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="150453">
                <text>Universidade Federal do Espírito Santo</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>History of scholarship and learning. The humanities, Social sciences (General)</text>
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                <text>&lt;a href="http://periodicos.ufes.br/simbiotica/article/view/28446" target="_blank" rel="noreferrer noopener"&gt;http://periodicos.ufes.br/simbiotica/article/view/28446&lt;/a&gt;</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Functional genomics highlights differential induction of antiviral pathways in the lungs of SARS-CoV-infected macaques.</text>
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              <elementText elementTextId="21966">
                <text>Anna de Lang, Tracey Baas, Thomas Teal, Lonneke M Leijten, Brandon Rain, Albert D Osterhaus, Bart L. Haagmans, Michael G. Katze</text>
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                <text>The pathogenesis of severe acute respiratory syndrome coronavirus (SARS-CoV) is likely mediated by disproportional immune responses and the ability of the virus to circumvent innate immunity. Using functional genomics, we analyzed early host responses to SARS-CoV infection in the lungs of adolescent cynomolgus macaques (Macaca fascicularis) that show lung pathology similar to that observed in human adults with SARS. Analysis of gene signatures revealed induction of a strong innate immune response characterized by the stimulation of various cytokine and chemokine genes, including interleukin (IL)-6, IL-8, and IP-10, which corresponds to the host response seen in acute respiratory distress syndrome. As opposed to many in vitro experiments, SARS-CoV induced a wide range of type I interferons (IFNs) and nuclear translocation of phosphorylated signal transducer and activator of transcription 1 in the lungs of macaques. Using immunohistochemistry, we revealed that these antiviral signaling pathways were differentially regulated in distinctive subsets of cells. Our studies emphasize that the induction of early IFN signaling may be critical to confer protection against SARS-CoV infection and highlight the strength of combining functional genomics with immunohistochemistry to further unravel the pathogenesis of SARS.</text>
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                <text>2007</text>
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                <text>DOI: 10.1371/journal.ppat.0030112</text>
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              <elementText elementTextId="21970">
                <text>PLoS Pathogens</text>
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                <text>Biology (General), Immunologic diseases. Allergy</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Strategies and action points to ensure equitable uptake of COVID-19 vaccinations: A national qualitative interview study to explore the views of undocumented migrants, asylum seekers, and refugees.</text>
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              <elementText elementTextId="72016">
                <text>Anna Deal, Sally E Hayward, Mashal Huda, Felicity Knights, Alison F Crawshaw, Jessica Carter, Osama B Hassan, Yasmin Farah, Yusuf Ciftci, May Rowland-Pomp, Kieran Rustage, Lucy Goldsmith, Monika Hartmann, Sandra Mounier-Jack, Rachel Burns, Anna Miller, Fatima Wurie, Ines Campos-Matos, Azeem Majeed, Sally Hargreaves</text>
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                <text>Early evidence confirms lower COVID-19 vaccine uptake in established ethnic minority populations, yet there has been little focus on understanding vaccine hesitancy and barriers to vaccination in migrants. Growing populations of precarious migrants (including undocumented migrants, asylum seekers and refugees) in the UK and Europe are considered to be under-immunised groups and may be excluded from health systems, yet little is known about their views on COVID-19 vaccines specifically, which are essential to identify key solutions and action points to strengthen vaccine roll-out. We did an in-depth semi-structured qualitative interview study of recently arrived migrants (foreign-born, &gt;18 years old; &lt;10 years in the UK) to the UK with precarious immigration status between September 2020 and March 2021, seeking their input into strategies to strengthen COVID-19 vaccine delivery and uptake. We used the 'Three Cs' model (confidence, complacency and convenience) to explore COVID-19 vaccine hesitancy, barriers and access. Data were analysed using a thematic framework approach. Data collection continued until data saturation was reached, and no novel concepts were arising. The study was approved by the University of London ethics committee (REC 2020.00630). We approached 20 migrant support groups nationwide, recruiting 32 migrants (mean age 37.1 years; 21 [66%] female; mean time in the UK 5.6 years [SD 3.7 years]), including refugees (n = 3), asylum seekers (n = 19), undocumented migrants (n = 8) and migrants with limited leave to remain (n = 2) from 15 different countries (5 WHO regions). 23 (72%) of 32 migrants reported being hesitant about accepting a COVID-19 vaccine and communicated concerns over vaccine content, side-effects, lack of accessible information in an appropriate language, lack of trust in the health system and low perceived need. Participants reported a range of barriers to accessing the COVID-19 vaccine and expressed concerns that their communities would be excluded from or de-prioritised in the roll-out. Undocumented migrants described fears over being charged and facing immigration checks if they present for a vaccine. All participants (n = 10) interviewed after recent government announcements that COVID-19 vaccines can be accessed without facing immigration checks remained unaware of this. Participants stated that convenience of access would be a key factor in their decision around whether to accept a vaccine and proposed alternative access points to primary care services (for example, walk-in centres in trusted places such as foodbanks, community centres and charities), alongside promoting registration with primary care for all, and working closely with communities to produce accessible information on COVID-19 vaccination. Precarious migrants may be hesitant about accepting a COVID-19 vaccine and face multiple and unique barriers to access, requiring simple but innovative solutions to ensure equitable access and uptake. Vaccine hesitancy and low awareness around entitlement and relevant access points could be easily addressed with clear, accessible, and tailored information campaigns, co-produced and delivered by trusted sources within marginalised migrant communities. These findings have immediate relevance to the COVID-19 vaccination initiatives in the UK and in other European and high-income countries with diverse migrant populations. NIHR.</text>
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                <text>2021</text>
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              <elementText elementTextId="72019">
                <text>10.1016/j.jmh.2021.100050</text>
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              <elementText elementTextId="72020">
                <text>Journal of migration and health</text>
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              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
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              <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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              <elementText elementTextId="5426">
                <text>Incidence of respiratory viruses in a pediatric population: molecular and epidemiological aspects</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="5427">
                <text>Anna Di Taranto, Rosella De Nittis, Mariantonietta Di Stefano, Giuseppina Faleo, Maria Rosaria Lipsi, Valeria Delli Carri, Mariangela Pugliese, Teresa Colapietra, Rosaria Agriesti, Raffaele Antonetti</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="5428">
                <text>Introduction: Respiratory infections are not well defined and the etiology is often unknown. Material and method: four hundred fortynine subjectrs were enrolled in the study; in all patientes there was a suspect of inflammatory diseases of the respiratory tract. At admission, a nasopharyngeal swab was made. A multiplex PCR was performed after extraction and reverse transcription of viral RNA. The amplified fragments were revealed by using an electrophoresis separation. Results: Two hundred and four patients (45.4%) were hospitalized for infection of the upper respiratory tract, 141 (31.4%) for lower respiratory infection and the remaining (23%) for other symptoms. One hundred fiftyseven (35%) patients were positive for human influenza A (H1N1 subtype) and 184 for other respiratory viruses,of which 59 (32%) gave a positive for respiratory syncytial virus, 42 (23%) for rhinovirus, 31 (17%) for parainfluenza virus, 12 (6.5%) for coronavirus, 28 (15%) for adenovirus and 6 (3%) for influenza B (3%) and 6 (3%) for metapneumovirus. The M1 gene sequence of influenza A H1N1 strains from 12 patients had a high identity with that of the reference virus. Conclusion: Furthermore H1N1 and RSV were the main causative agents of acute respiratory infection. A molecular approach provides an accurate and rapid aetiological diagnosis of viral respiratory infections. The molecolar features in the M1 gene suggested that the H1N1 influenza strains circulating in Apulia region had a conserved genetic make up.</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="5429">
                <text>2012</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="5430">
                <text>Respiratory viruses, Human Influenza A, H1N1</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="5431">
                <text>DOI: 10.4081/mm.2012.2300</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="5432">
                <text>Microbiologia Medica</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="5433">
                <text>PAGEPress Publications</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="5434">
                <text>Microbiology</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="44">
            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="5435">
                <text>EN, IT</text>
              </elementText>
            </elementTextContainer>
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  <item itemId="9461" public="1" featured="0">
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        <src>https://socictopen.socict.org/files/original/222232e171268323d61e7b5f76aba22f.pdf</src>
        <authentication>97bb12a119e51cddc2194f788761a239</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>
              <elementTextContainer>
                <elementText elementTextId="1">
                  <text>Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
              <elementTextContainer>
                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
          </elementContainer>
        </elementSet>
      </elementSetContainer>
    </collection>
    <itemType itemTypeId="1">
      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
    </itemType>
    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="78872">
                <text>A Retrospective Analysis of the COVID-19 Pandemic Evolution in Italy</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="78873">
                <text>Anna Fochesato, Giulia Simoni, Federico Reali, Giulia Giordano, Enrico Domenici, Luca Marchetti</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="78874">
                <text>Late 2019 saw the outbreak of COVID-19, a respiratory disease caused by the new coronavirus SARS-CoV-2, which rapidly turned into a pandemic, killing more than 2.77 million people and infecting more than 126 million as of late March 2021. Daily collected data on infection cases and hospitalizations informed decision makers on the ongoing pandemic emergency, enabling the design of diversified countermeasures, from behavioral policies to full lockdowns, to curb the virus spread. In this context, mechanistic models could represent valuable tools to optimize the timing and stringency of interventions, and to reveal non-trivial properties of the pandemic dynamics that could improve the design of suitable guidelines for future epidemics. We performed a retrospective analysis of the Italian epidemic evolution up to mid-December 2020 to gain insight into the main characteristics of the original strain of SARS-CoV-2, prior to the emergence of new mutations and the vaccination campaign. We defined a time-varying optimization procedure to calibrate a refined version of the SIDARTHE (Susceptible, Infected, Diagnosed, Ailing, Recognized, Threatened, Healed, Extinct) model and hence accurately reconstruct the epidemic trajectory. We then derived additional features of the COVID-19 pandemic in Italy not directly retrievable from reported data, such as the estimate of the day zero of infection in late November 2019 and the estimate of the spread of undetected infection. The present analysis contributes to a better understanding of the past pandemic waves, confirming the importance of epidemiological modeling to support an informed policy design against epidemics to come.</text>
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            </elementTextContainer>
          </element>
          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="78875">
                <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="78876">
                <text>covid-19, Health policy, disease prevention, retrospective analysis, Computational models, SIDARTHE model</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="78877">
                <text>10.3390/biology10040311</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="78878">
                <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="78879">
                <text>Korean Society of Epidemiology</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="38">
            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
            <elementTextContainer>
              <elementText elementTextId="78880">
                <text>Biology (General)</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
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    </elementSetContainer>
  </item>
</itemContainer>
