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                  <text>Dominio científico: Coronavirus</text>
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                <text>Lab-on-a-Chip Technologies for the Single Cell Level: Separation, Analysis, and Diagnostics</text>
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                <text>Axel Hochstetter</text>
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                <text>In the last three decades, microfluidics and its applications have been on an exponential rise, including approaches to isolate rare cells and diagnose diseases on the single-cell level. The techniques mentioned herein have already had significant impacts in our lives, from in-the-field diagnosis of disease and parasitic infections, through home fertility tests, to uncovering the interactions between SARS-CoV-2 and their host cells. This review gives an overview of the field in general and the most notable developments of the last five years, in three parts: 1. What can we detect? 2. Which detection technologies are used in which setting? 3. How do these techniques work? Finally, this review discusses potentials, shortfalls, and an outlook on future developments, especially in respect to the funding landscape and the field-application of these chips.</text>
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                <text>2020</text>
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                <text>cancer, diagnostics, Biomedical Engineering, Parasites, microfluidics, single-cell level</text>
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                <text>10.3390/mi11050468</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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                <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>Mechanical engineering and machinery</text>
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                  <text>Agricultura sostenible</text>
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              <name>Description</name>
              <description>An account of the resource</description>
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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>Pigmeos, primates y elefantes : percepciones populares en Occidente y actitudes locales hacia la fauna y el medio ambiente selvático</text>
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            <name>Creator</name>
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              <elementText elementTextId="178152">
                <text>Axel Köhler</text>
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            <name>Date</name>
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                <text>1999</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>Baka (Pueblo de Africa occidental), Opinión pública occidental, Pueblos de lenguas bantúes, actitudes, ecología humana, África Central</text>
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            <description>A related resource from which the described resource is derived</description>
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                <text>Estudios de Asia y África</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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                <text>El Colegio de México, A.C.</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="178157">
                <text>Social sciences (General), History of Africa, History of Asia</text>
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            <description>A related resource</description>
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                <text>&lt;a href="http://estudiosdeasiayafrica.colmex.mx/index.php/eaa/article/view/1698" target="_blank" rel="noreferrer noopener"&gt;http://estudiosdeasiayafrica.colmex.mx/index.php/eaa/article/view/1698&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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              <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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      <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="9599">
                <text>An improved filtering algorithm for big read datasets and its application to single-cell assembly</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="9600">
                <text>Axel Wedemeyer, Lasse Kliemann, Anand Srivastav, Christian Schielke, Thorsten B. Reusch, Philip Rosenstiel</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Abstract Background For single-cell or metagenomic sequencing projects, it is necessary to sequence with a very high mean coverage in order to make sure that all parts of the sample DNA get covered by the reads produced. This leads to huge datasets with lots of redundant data. A filtering of this data prior to assembly is advisable. Brown et al. (2012) presented the algorithm Diginorm for this purpose, which filters reads based on the abundance of their k-mers. Methods We present Bignorm, a faster and quality-conscious read filtering algorithm. An important new algorithmic feature is the use of phred quality scores together with a detailed analysis of the k-mer counts to decide which reads to keep. Results We qualify and recommend parameters for our new read filtering algorithm. Guided by these parameters, we remove in terms of median 97.15% of the reads while keeping the mean phred score of the filtered dataset high. Using the SDAdes assembler, we produce assemblies of high quality from these filtered datasets in a fraction of the time needed for an assembly from the datasets filtered with Diginorm. Conclusions We conclude that read filtering is a practical and efficient method for reducing read data and for speeding up the assembly process. This applies not only for single cell assembly, as shown in this paper, but also to other projects with high mean coverage datasets like metagenomic sequencing projects. Our Bignorm algorithm allows assemblies of competitive quality in comparison to Diginorm, while being much faster. Bignorm is available for download at https://git.informatik.uni-kiel.de/axw/Bignorm .</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="9602">
                <text>2017</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="9603">
                <text>Read filtering, Read normalization, Bignorm, Diginorm, Singe cell sequencing, coverage</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>DOI: 10.1186/s12859-017-1724-7</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="9605">
                <text>BMC Bioinformatics</text>
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            <name>Publisher</name>
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                <text>BMC</text>
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          <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="9607">
                <text>Biology (General), Computer applications to medicine. Medical informatics</text>
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            </elementTextContainer>
          </element>
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            <name>Language</name>
            <description>A language of the resource</description>
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                <text>EN</text>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
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            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
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                  <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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        <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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            <name>Title</name>
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                <text>Development of toxic epidermal necrolysis in a coronavirus disease 2019 patient with recurrence of positive SARS-CoV-2 viral RNA.</text>
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              <elementText elementTextId="72798">
                <text>Aya Tanaka, Moeko Isei, Chiaki Kikuzawa, Haruna Hinogami, Koji Nishida, Iwao Gohma, Yoshihiko Ogawa</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>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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                <text>10.1111/1346-8138.15753</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="72801">
                <text>The Journal of dermatology</text>
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  <item itemId="10334" public="1" featured="0">
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        <src>https://www.socictopen.socict.org/files/original/f622ac27b05beb99edca6c2afdfcae62.pdf</src>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
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            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
              <elementTextContainer>
                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
          </elementContainer>
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      </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>
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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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            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>CT pulmonary angiography in COVID-19 pneumonia: relationship between pulmonary embolism and disease severity</text>
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            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="86202">
                <text>Aya Yassin, Maryam Ali Abdelkader, Rehab M. Mohammed, Ahmed M. Osman</text>
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                <text>Abstract Background Pulmonary embolism (PE) is one of the known sequels of COVID-19 infection. We aimed to assess the incidence of PE in patients with COVID-19 infection and to evaluate the relationship between the CT severity of the disease and the laboratory indicators. This was a retrospective study conducted on 96 patients with COVID-19 infection proved by positive PCR who underwent CT pulmonary angiography (CTPA) with a calculation of the CT severity of COVID-19 infection. Available patients’ complaint and laboratory data at the time of CTPA were correlated with PE presence and disease severity. Results Forty patients (41.7%) showed positive PE with the median time for the incidence of PE which was 12 days after onset of the disease. No significant correlation was found between the incidence of PE and the patients’ age, sex, laboratory results, and the CT severity of COVID-19. A statistically significant relation was found between the incidence of PE and the patients’ desaturation, hemoptysis, and chest pain. A highly significant correlation was found between the incidence of PE and the rising in the D-dimer level as well as the progressive CT findings when compared to the previous one. Conclusion CT progression and the rising in D-dimer level are considered the most important parameters suggesting underlying PE in patients with positive COVID-19 infection which is commonly seen during the second week of infection and alert the use of CT pulmonary angiography to exclude or confirm PE. This is may help in improving the management of COVID-19 infection.</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, D-dimer, Pulmonary embolism (PE), CT pulmonary angiography (CTPA)</text>
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            <description>An unambiguous reference to the resource within a given context</description>
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                <text>10.1186/s43055-020-00389-7</text>
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                <text>Biotemas</text>
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                <text>Universidade Federal de Santa Catarina</text>
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                <text>Medical physics. Medical radiology. Nuclear medicine</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Detection of SARS-CoV-2 in Hemodialysis Effluent of Patient with COVID-19 Pneumonia, Japan</text>
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                <text>Ayako Okuhama, Masahiro Ishikane, Daisuke Katagiri, Kohei Kanda, Takato Nakamoto, Noriko Kinoshita, Naoto Nunose, Takashi Fukaya, Isao Kondo, Harutaka Katano, Tadaki Suzuki, Norio Ohmagari, Fumihiko Hinoshita</text>
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            <description>An account of the resource</description>
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                <text>We report detection of severe acute respiratory syndrome coronavirus 2 RNA in hemodialysis effluent from a patient in Japan with coronavirus disease and prolonged inflammation. Healthcare workers should observe strict standard and contact precautions and use appropriate personal protective equipment when handling hemodialysis circuitry from patients with diagnosed coronavirus disease.</text>
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                <text>2020</text>
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                <text>SARS, Respiratory Infections, covid-19, SARS-CoV-2, severe acute respiratory syndrome coronavirus 2, Hemodialysis</text>
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              <elementText elementTextId="39467">
                <text>10.3201/eid2611.201956</text>
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                <text>Emerging Infectious Diseases</text>
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            <description>An entity responsible for making the resource available</description>
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                <text>Centers for Disease Control and Prevention</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>Medicine, Infectious and parasitic diseases</text>
              </elementText>
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  <item itemId="27384" public="1" featured="0">
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="88121">
                  <text>Agricultura sostenible</text>
                </elementText>
              </elementTextContainer>
            </element>
            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
              <elementTextContainer>
                <elementText elementTextId="88122">
                  <text>Dominio científico: Agricultura sostenible</text>
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      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
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      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="239135">
                <text>Aspectos de la relación entre Thalurania Furcata Colombica (Aves Trochilidae) y las flores en que liba, en un bosque subandino Aspectos de la relación entre Thalurania Furcata Colombica (Aves Trochilidae) y las flores en que liba, en un bosque subandino</text>
              </elementText>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="239136">
                <text>Ayala R. Ana Victoria</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="239137">
                <text>El mayor nivel de coadaptación ave nectarívora-flor conocido hasta el momento, se ha logrado en los Trochilidae (VAN DER PIJL &amp; DODSON,1969; FEINSINGER et al., 1979) ; tanto, que se ha hablado de flores adaptadas a la polinización por una especie particular de colibrí, y de colibríes que dependen para su alimentación de una sola clase de flor (SNOW &amp; SNOW, 1980).Los factores principales que afectan la selección de alimento por parte de los colibríes están relacionados con: hábitat y estratificación de la vegetación (STILES &amp; VVOLF,1970; FEINSINGER &amp; CoLWELL, 1978), distribución espacial y características de las flores (FEINSINGER &amp; COLYVELL,1978; FEINSINGER et al., 1979), distribución temporal del alimento (WOLF et al., 1976), morfología del pico del ave (FEINSINGER &amp; COLWELL, 1978; STILES, 1978 a; FEINSINGER et al., 1979), tamaño del cuerpo (VVOLF et al., 1976), 'disco de sustentación del ala' (wing disc loading) y, finalmente, la energía que el colibrí requiere para sustentarse en el aire (EPTING &amp; CASEY, 1973; WOLF et al., 1976). Colombia está incluida en el área central de evolución de los Trochilidae (SNOW &amp; SNOW,- 1980) y posee numerosas especies así como riqueza de hábitats ocupados por ellos. Al igual que trabajos anteriores (SNOW &amp; SNOW, 1980; MURCIA, 1983), el presente aporta al conocimiento de la ecología de los colibríes en este país; especificamente, trata algunos aspectos de la interacción Thalurania furcata colombica-flor proveedora de alimento en un Bosque Subandino. Between April and September 1983 observations were made on the relations between Thalurcnia furcata colombica and flowers in the laguna de Pedro Palo area (Cundinamarca, Colombia). The hummingbird was seen visiting 15 species of plants (beloging to 13 families) situated mainly on the edge of forest, among which the following species showed a high degree of ornithophily: Besleria solanoides (Gesneriaceae), Bomarea racemose (Amaryllidaceae), Cornutia odorata (Verbenaceae), Erythrina edulis (Fabaceae) and Palicourea popayanensis (Rubiaceae). Nectar was available for hummingbirds during the six months of study. Although males and females of the species had similar habitat and food preferences, a relatively small number of agressive encounters between them was recorded. Three mechanisms were recognized which contributed to reduce these encounters: 1. a difference in foraging strategies, males being predominantly territorial and females generalists (behaving as territorial or 'trapliners' according to circumstances) ; 2. differences in the temporal organization of their foraging activity through the day; 3. differences in spatial organization, males and females tending to exploit different parts of the same plant.  Thalurania furcata defended its feeding territories against individuals of its own and other species of hummingbirds (Chlorostilbon gibsoni, Coeliqena prunellei and others), flower-piercers (mainly Dlglossa sittoides), and butterflies.</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="239138">
                <text>1986</text>
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            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="239139">
                <text>Aves Trochilidae, Bosque subandino, Colibríes, Thalurania Furcata Colombica, nectarívoros</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="239140">
                <text>Caldasia</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="239141">
                <text>Universidad Nacional de Colombia</text>
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          <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="239142">
                <text>Science, Botany, Zoology</text>
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            <name>Relation</name>
            <description>A related resource</description>
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                <text>&lt;a href="http://www.revistas.unal.edu.co/index.php/cal/article/view/34942" target="_blank" rel="noreferrer noopener"&gt;http://www.revistas.unal.edu.co/index.php/cal/article/view/34942&lt;/a&gt;</text>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
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              <name>Description</name>
              <description>An account of the resource</description>
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                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
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      <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>Statistical Explorations and Univariate Timeseries Analysis on COVID-19 Datasets to Understand the Trend of Disease Spreading and Death</text>
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            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="52266">
                <text>Ayan Chatterjee, Martin  W. Gerdes, Santiago  G. Martinez</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="52267">
                <text>“Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)”, the novel coronavirus, is responsible for the ongoing worldwide pandemic. “World Health Organization (WHO)” assigned an “International Classification of Diseases (ICD)” code—“COVID-19”-as the name of the new disease. Coronaviruses are generally transferred by people and many diverse species of animals, including birds and mammals such as cattle, camels, cats, and bats. Infrequently, the coronavirus can be transferred from animals to humans, and then propagate among people, such as with “Middle East Respiratory Syndrome (MERS-CoV)”, “Severe Acute Respiratory Syndrome (SARS-CoV)”, and now with this new virus, namely “SARS-CoV-2”, or human coronavirus. Its rapid spreading has sent billions of people into lockdown as health services struggle to cope up. The COVID-19 outbreak comes along with an exponential growth of new infections, as well as a growing death count. A major goal to limit the further exponential spreading is to slow down the transmission rate, which is denoted by a “spread factor (f)”, and we proposed an algorithm in this study for analyzing the same. This paper addresses the potential of data science to assess the risk factors correlated with COVID-19, after analyzing existing datasets available in “ourworldindata.org (Oxford University database)”, and newly simulated datasets, following the analysis of different univariate “Long Short Term Memory (LSTM)” models for forecasting new cases and resulting deaths. The result shows that vanilla, stacked, and bidirectional LSTM models outperformed multilayer LSTM models. Besides, we discuss the findings related to the statistical analysis on simulated datasets. For correlation analysis, we included features, such as external temperature, rainfall, sunshine, population, infected cases, death, country, population, area, and population density of the past three months - January, February, and March in 2020. For univariate timeseries forecasting using LSTM, we used datasets from 1 January 2020, to 22 April 2020.</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="52268">
                <text>2020</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="52269">
                <text>Public health, covid-19, transmission rate, ICD, RNN, community disease</text>
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          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="52270">
                <text>10.3390/s20113089</text>
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          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="52271">
                <text>Epidemiology and Health</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="52272">
                <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="52273">
                <text>Chemical technology</text>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="88121">
                  <text>Agricultura sostenible</text>
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              </elementTextContainer>
            </element>
            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
              <elementTextContainer>
                <elementText elementTextId="88122">
                  <text>Dominio científico: Agricultura sostenible</text>
                </elementText>
              </elementTextContainer>
            </element>
          </elementContainer>
        </elementSet>
      </elementSetContainer>
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    <itemType itemTypeId="1">
      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
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    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="148406">
                <text>A agricultura familiar e a expansão das relações sociais inerentes à empresa</text>
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          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="148407">
                <text>Ayana Zanúncio Araujo, Rosimeri de Fátima Carvalho da Silva</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="148408">
                <text>O presente estudo teve como objetivo analisar as relações que se estabelecem e/ou se acentuam a partir da inserção dos agricultores na política pública de agricultura familiar, especialmente no Programa Nacional de Fortalecimento da Agricultura Familiar (Pronaf). Para realização desta pesquisa de natureza interpretativa, utilizou-se o procedimento de amostragem intencional por tipicidade (MARCONI e LAKATOS, 2010), tendo sido identificados dois municípios gaúchos, Maquiné e Nova Santa Rita. A coleta de dados ocorreu entre os meses de abril e setembro de 2014, com agricultores e agricultoras beneficiários de políticas públicas de agricultura familiar nos dois municípios. Os principais procedimentos de coleta adotados foram a realização de entrevistas semiestruturadas e a confecção de um caderno de campo. A análise do material empírico esteve amparada pelas discussões sobre as relações inerentes à empresa e ao processo de empresarização do mundo (SOLÉ, 2008; ABRAHAM, 2006). A ênfase nos cultivos comerciais em detrimento da agricultura de subsistência, o acesso individualizado aos financiamentos, a proliferação das relações de parceria (uma maneira particular e informal de empregar pessoas), entre outras situações observadas no campo, evidenciam um processo de assimilação e intensificação das relações funcionais, impessoais, de dominação, de assalariamento e de concorrência associado ao acesso às políticas públicas e às relações contratuais com grandes redes varejistas. Todavia, também foram observadas atitudes de agricultores e agricultoras organizados que conseguiram contornar determinados aspectos da empresarização.</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="148409">
                <text>2016</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="148410">
                <text>Agricultura Familiar, Empresarização, Pronaf</text>
              </elementText>
            </elementTextContainer>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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                <text>Estudos Sociedade e Agricultura</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="148412">
                <text>Universidade Federal Rural do Rio de Janeiro</text>
              </elementText>
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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>Agriculture (General), Agricultural industries, Land use</text>
              </elementText>
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            <name>Relation</name>
            <description>A related resource</description>
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                <text>&lt;a href="https://revistaesa.com/ojs/index.php/esa/article/view/690" target="_blank" rel="noreferrer noopener"&gt;https://revistaesa.com/ojs/index.php/esa/article/view/690&lt;/a&gt;</text>
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  <item itemId="5454" public="1" featured="0">
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      <file fileId="5454">
        <src>https://www.socictopen.socict.org/files/original/a9d3bb19c0f5ded70201d96eb2ed6347.pdf</src>
        <authentication>53ea50d2b8962b8639325d346834b597</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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            <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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            </element>
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    <itemType itemTypeId="1">
      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
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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="48825">
                <text>The Effect of the Way of Using Social Media on Health Promoting Behaviors and COVID-19-related Anxiety in Non-medical Students</text>
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          <element elementId="39">
            <name>Creator</name>
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              <elementText elementTextId="48826">
                <text>Ayatollah Fathi, Solmaz Sadeqi, Saeid Sharifi Rahnmo, Aliakbar Malekirad, Hosein Rostami, Raheleh Aghazadeh</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="48827">
                <text>Background One of the problems of today's Iranian youth is how to use social media coincided with theoutbreak of Coronavirus Disease 2019 (COVID-19).Objective This study aimed to investigate the way of use of social media and its effect on health promotingbehaviors and COVID-19-related anxiety in non-medical students.Methods In this analytical study, participants were 307 non-medical students of Islamic Azad University ofTabriz Branch. Data collection tools were a demographic form, Corona Disease Anxiety Scale (CDAS) withtwo subscales of psychological and physical symptoms, and Health Promoting Lifestyle Profile (HPLP)with six subscales of spiritual growth, health responsibility, interpersonal relations, stress management,physical activity, and nutrition which were completed online. The multivariate analysis of variance and apost-hoc test were used for data analysis.Findings Of 307 participants, 256 were female (83%) and 51 were male (16.6%), with a mean age of27 years. The HPLP components of spiritual growth (P=0.001), health responsibility (P=0.001), stressmanagement (P=0.001), physical activity (P=0.002), and its overall score (P=0.001) had a significant relationshipwith the way of use of the Internet, and the group with a fun purpose had lower scores inthese variables compared to other groups. Moreover, the CDAS component of psychological symptoms(P=0.007) and its overall score (P=0.03) had a significant relationship with the way of using social media;the group with a fun purpose reported higher CDAS score than the groups with scientific and generalinformation acquiring purposes.Conclusion The use of social media for fun negatively affects the students’ lifestyle in the current coronavirusoutbreak and increases their COVID-19-related anxiety.</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="48828">
                <text>2020</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="48829">
                <text>Anxiety, covid-19, health promotion, social media, health, Lifestyle</text>
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            </elementTextContainer>
          </element>
          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="48830">
                <text>10.32598/JQUMS.24.2.2377.1</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="48831">
                <text>The Journal of Qazvin University of Medical Sciences</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="48832">
                <text>Qazvin University of Medical Sciences &amp; Health Services</text>
              </elementText>
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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="48833">
                <text>Medicine</text>
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