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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>Dublin Core</name>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Comparative clinical and economic evaluation of two alternative antiviral therapy regimens for influenza patients</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="12409">
                <text>I. I. Tokin, V. V. Tsvetkov, G. S. Golobokov</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>In the Russian Federation, the number of new cases of influenzaand SARS each year reaches 30 million people, and the annual total  economic damage is estimated at 40 billion rubles, accounting for  about 80% of the damage from all infectious diseases. Today, one of  the main priorities of confronting the consequences of the annual  epidemics of influenza is the development and introduction into  clinical practice of new drugs with proven effectiveness and safety, the use of which is economically feasible.Objective. Conduct a clinical and economic analysis of two  alternative regimens for treating influenza patients using the modern drug Triasavirin® and the known Tamiflu® neuraminidase inhibitor.Materials and methods. The study included 127 patients with a  laboratory confirmed diagnosis of «influenza». All patients were  divided into two groups. The main group consisted of 82 patients  who received Triazavirin® 1 capsule (250 mg) 3 times a day for 5  days. The comparison group consisted of 45 patients who received  Tamiflu® 1 capsule (75 mg) 2 times a day for 5 days. To conduct a  clinical and economic evaluation of two alternative treatment  regimens, cost-effectiveness factors were calculated, such as the  ratio of the cost of therapy to the indicator of its effectiveness. The analyzed events were: (1) recovery by the 5th day from the start of treatment; (2) temperature normalization by the 5th day from the start of treatment; (3) no symptoms of intoxication (headache, myalgia, pain / rei in the eyeballs) by the 5th day from the start of treatment; (4) absence of catarrhal  manifestations (pain / sore throat, cough) to the 10th day from the beginning of treatment.Results. The use of the drug Triazavirin® for treatment of influenza  patients in comparison with the inhibitor of neuraminidase with  Tamiflu® is economically viable, both with respect to the timing of  recovery (cost-effectiveness ratio: 935,57 rubles / unit vs 1859,39  rubles / unit) and normalization of temperature body (cost- effectiveness ratio: 869,53 rubles / unit vs. 2014,33 rubles / unit),  and with respect to the duration of intoxication (cost-effectiveness  ratio: 859,42 rubles / unit vs. 1473,90 rub ./unit) and catarrhal  (coefficient of expenditure e ciency: 869,53 rubles / unit against  1611,47 rubles / unit) syndromes.Conclusion. Triazavirin® is a new effective antiviral agent for the  treatment of influenza. The use of Triazavirin® in the treatment of  patients with influenza is economically viable, due to significant  budget savings both in terms of the cost of treatment, and the  reduction in concomitant therapy and the reduction in the period of  temporary disability of working patients.</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="12411">
                <text>2018</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="12412">
                <text>influenza, Flu treatment, Antiviral drug, triazavirin, Oseltamivir, Cost-effectiveness ratio</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="12413">
                <text>DOI: 10.22625/2072-6732-2018-10-2-110-116</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="12414">
                <text>Žurnal Infektologii</text>
              </elementText>
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          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="12415">
                <text>Journal Infectology</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="12416">
                <text>Infectious and parasitic diseases</text>
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            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
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                <text>RU</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="12418">
                <text>Streaming histogram sketching for rapid microbiome analytics</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="12419">
                <text>Will P. M. Rowe, Anna Paola Carrieri, Cristina Alcon-Giner, Shabhonam Caim, Alex Shaw, Kathleen Sim, J. Simon Kroll, Lindsay J Hall, Edward O. Pyzer-Knapp, Martyn D. Winn</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Abstract Background The growth in publically available microbiome data in recent years has yielded an invaluable resource for genomic research, allowing for the design of new studies, augmentation of novel datasets and reanalysis of published works. This vast amount of microbiome data, as well as the widespread proliferation of microbiome research and the looming era of clinical metagenomics, means there is an urgent need to develop analytics that can process huge amounts of data in a short amount of time. To address this need, we propose a new method for the compact representation of microbiome sequencing data using similarity-preserving sketches of streaming k-mer spectra. These sketches allow for dissimilarity estimation, rapid microbiome catalogue searching and classification of microbiome samples in near real time. Results We apply streaming histogram sketching to microbiome samples as a form of dimensionality reduction, creating a compressed ‘histosketch’ that can efficiently represent microbiome k-mer spectra. Using public microbiome datasets, we show that histosketches can be clustered by sample type using the pairwise Jaccard similarity estimation, consequently allowing for rapid microbiome similarity searches via a locality sensitive hashing indexing scheme. Furthermore, we use a ‘real life’ example to show that histosketches can train machine learning classifiers to accurately label microbiome samples. Specifically, using a collection of 108 novel microbiome samples from a cohort of premature neonates, we trained and tested a random forest classifier that could accurately predict whether the neonate had received antibiotic treatment (97% accuracy, 96% precision) and could subsequently be used to classify microbiome data streams in less than 3 s. Conclusions Our method offers a new approach to rapidly process microbiome data streams, allowing samples to be rapidly clustered, indexed and classified. We also provide our implementation, Histosketching Using Little K-mers (HULK), which can histosketch a typical 2 GB microbiome in 50 s on a standard laptop using four cores, with the sketch occupying 3000 bytes of disk space. (https://github.com/will-rowe/hulk).</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="12421">
                <text>2019</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="12422">
                <text>DOI: 10.1186/s40168-019-0653-2</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>
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              <elementText elementTextId="12423">
                <text>Microbiome</text>
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            </elementTextContainer>
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          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="12424">
                <text>BMC</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="12425">
                <text>Microbial ecology</text>
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            </elementTextContainer>
          </element>
          <element elementId="44">
            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="12426">
                <text>EN</text>
              </elementText>
            </elementTextContainer>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
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                <elementText elementTextId="1">
                  <text>Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </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>
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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>
            <elementTextContainer>
              <elementText elementTextId="12427">
                <text>Mining statistically-solid k-mers for accurate NGS error correction</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="12428">
                <text>Liang Zhao, Jin Xie, Lin Bai, Wen Chen, Mingju Wang, Zhonglei Zhang, Yiqi Wang, Zhe Zhao, Jin-yan LI</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="12429">
                <text>Abstract Background NGS data contains many machine-induced errors. The most advanced methods for the error correction heavily depend on the selection of solid k-mers. A solid k-mer is a k-mer frequently occurring in NGS reads. The other k-mers are called weak k-mers. A solid k-mer does not likely contain errors, while a weak k-mer most likely contains errors. An intensively investigated problem is to find a good frequency cutoff f 0 to balance the numbers of solid and weak k-mers. Once the cutoff is determined, a more challenging but less-studied problem is to: (i) remove a small subset of solid k-mers that are likely to contain errors, and (ii) add a small subset of weak k-mers, that are likely to contain no errors, into the remaining set of solid k-mers. Identification of these two subsets of k-mers can improve the correction performance. Results We propose to use a Gamma distribution to model the frequencies of erroneous k-mers and a mixture of Gaussian distributions to model correct k-mers, and combine them to determine f 0. To identify the two special subsets of k-mers, we use the z-score of k-mers which measures the number of standard deviations a k-mer’s frequency is from the mean. Then these statistically-solid k-mers are used to construct a Bloom filter for error correction. Our method is markedly superior to the state-of-art methods, tested on both real and synthetic NGS data sets. Conclusion The z-score is adequate to distinguish solid k-mers from weak k-mers, particularly useful for pinpointing out solid k-mers having very low frequency. Applying z-score on k-mer can markedly improve the error correction accuracy.</text>
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            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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              <elementText elementTextId="12430">
                <text>2018</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>error correction, Next-generation sequencing, Z-Score</text>
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            <description>An unambiguous reference to the resource within a given context</description>
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                <text>DOI: 10.1186/s12864-018-5272-y</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="12433">
                <text>BMC Genomics</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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                <text>BMC</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>Genetics, Biotechnology</text>
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            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="12436">
                <text>EN</text>
              </elementText>
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              <description>A name given to the resource</description>
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              <description>An account of the resource</description>
              <elementTextContainer>
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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>Title</name>
            <description>A name given to the resource</description>
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                <text>Per-Ola Räf, Fårkonsulenter på 1700-talet: biografisk matrikel över eleverna vid Jonas Alströmers Schäferskola på Höjentorp och i Alingsås, Skogs- och lantbrukshistoriska meddelanden nr 46 (Stockholm: Kungl. Skogs- och Lantbruksakademien, 2010). 154 s.</text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Gunnar Broberg</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>2011</text>
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            <description>An unambiguous reference to the resource within a given context</description>
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                <text>DOI: 10.7557/4.2592</text>
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                <text>Sjuttonhundratal</text>
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            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="12442">
                <text>Septentrio Academic Publishing</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>Modern history, 1453-</text>
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                <text>DA, EN, FR, NO, SV</text>
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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Treatment of Middle East respiratory syndrome with a combination of lopinavir/ritonavir and interferon-β1b (MIRACLE trial): statistical analysis plan for a recursive two-stage group sequential randomized controlled trial</text>
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                <text>Yaseen M. Arabi, Ayed Y. Asiri, Abdullah M. Assiri, Hani A. Aziz Jokhdar, Adel Alothman, Hanan H Balkhy, Sameera Al Johani, Shmeylan Al-Harbi, Suleiman Kojan, Majed Al Jeraisy, Ahmad M. Deeb, Ziad A Memish, Sameeh Ghazal, Sarah Al Faraj, Fahad Al Hameed, Asim AlSaedi, Yasser Mandourah, Ghaleb A. Almekhlafi, Nisreen Murad Sherbeeni, Fatehi Elnour Elzein, Abdullah Almotairi, Ali Al Bshabshe, Ayman Kharaba, Jesna Jose, Abdulrahman AL-Harthy, Mohammed Alsulaiman, Ahmed Mady, Robert A Fowler, Frederick G. Hayden, Abdulaziz Al Dawood, Mohamed Abd Elzaher, Wail Bajhmom, Mohamed A. Hussein, and the Saudi Critical Care Trials group</text>
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            <description>An account of the resource</description>
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                <text>Abstract The MIRACLE trial (MERS-CoV Infection tReated with A Combination of Lopinavir/ritonavir and intErferon-β1b) investigates the efficacy of a combination therapy of lopinavir/ritonavir and recombinant interferon-β1b provided with standard supportive care, compared to placebo provided with standard supportive care, in hospitalized patients with laboratory-confirmed MERS. The MIRACLE trial is designed as a recursive, two-stage, group sequential, multicenter, placebo-controlled, double-blind randomized controlled trial. The aim of this article is to describe the statistical analysis plan for the MIRACLE trial. The primary outcome is 90-day mortality. The primary analysis will follow the intention-to-treat principle. The MIRACLE trial is the first randomized controlled trial for MERS treatment. Trial registration ClinicalTrials.gov, NCT02845843. Registered on 27 July 2016.</text>
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                <text>2020</text>
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                <text>coronavirus, MERS, antiviral, clinical trial, Lopinavir/ritonavir, Interferon-β1b</text>
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                <text>DOI: 10.1186/s13063-019-3846-x</text>
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            <description>A related resource from which the described resource is derived</description>
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                <text>Trials</text>
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                <text>BMC</text>
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                <text>Medicine (General)</text>
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            <description>A language of the resource</description>
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                <text>EN</text>
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              <name>Title</name>
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                  <text>Coronavirus</text>
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              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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      <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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            <description>A name given to the resource</description>
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                <text>The architecture of cell differentiation in choanoflagellates and sponge choanocytes.</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="12456">
                <text>Davis Laundon, Ben T Larson, Kent McDonald, Nicole King, Pawel Burkhardt</text>
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            <description>An account of the resource</description>
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                <text>Although collar cells are conserved across animals and their closest relatives, the choanoflagellates, little is known about their ancestry, their subcellular architecture, or how they differentiate. The choanoflagellate Salpingoeca rosetta expresses genes necessary for animal development and can alternate between unicellular and multicellular states, making it a powerful model for investigating the origin of animal multicellularity and mechanisms underlying cell differentiation. To compare the subcellular architecture of solitary collar cells in S. rosetta with that of multicellular 'rosette' colonies and collar cells in sponges, we reconstructed entire cells in 3D through transmission electron microscopy on serial ultrathin sections. Structural analysis of our 3D reconstructions revealed important differences between single and colonial choanoflagellate cells, with colonial cells exhibiting a more amoeboid morphology consistent with higher levels of macropinocytotic activity. Comparison of multiple reconstructed rosette colonies highlighted the variable nature of cell sizes, cell-cell contact networks, and colony arrangement. Importantly, we uncovered the presence of elongated cells in some rosette colonies that likely represent a distinct and differentiated cell type, pointing toward spatial cell differentiation. Intercellular bridges within choanoflagellate colonies displayed a variety of morphologies and connected some but not all neighbouring cells. Reconstruction of sponge choanocytes revealed ultrastructural commonalities but also differences in major organelle composition in comparison to choanoflagellates. Together, our comparative reconstructions uncover the architecture of cell differentiation in choanoflagellates and sponge choanocytes and constitute an important step in reconstructing the cell biology of the last common ancestor of animals.</text>
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                <text>2019</text>
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                <text>DOI: 10.1371/journal.pbio.3000226</text>
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            <description>A related resource from which the described resource is derived</description>
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                <text>PLoS Biology</text>
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            <description>An entity responsible for making the resource available</description>
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                <text>Public Library of Science (PLoS)</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>Biology (General)</text>
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            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
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                <text>EN</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>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>
            <description>A name given to the resource</description>
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                <text>Effectiveness of zinc supplementation on diarrhea and average daily gain in pre-weaned dairy calves: A double-blind, block-randomized, placebo-controlled clinical trial.</text>
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            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="12465">
                <text>Hillary R Feldmann, Deniece R. Williams, John D. Champagne, Terry W. Lehenbauer, Sharif S. Aly</text>
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            <description>An account of the resource</description>
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                <text>The objective of this clinical trial was to evaluate the effectiveness of zinc supplementation on diarrhea and average daily weight gain (ADG) in pre-weaned dairy calves. A total of 1,482 healthy Holstein heifer and bull calves from a large California dairy were enrolled at 24 to 48 hours of age until hutch exit at approximately 90 days of age. Calves were block-randomized by time to one of three treatments: 1) placebo, 2) zinc methionine (ZM), or 3) zinc sulfate (ZS) administered in milk once daily for 14 days. Serum total protein at enrollment and body weight at birth, treatment end, and hutch exit were measured. Fecal consistency was assessed daily for 28 days post-enrollment. For a random sample of 127 calves, serum zinc concentrations before and after treatment and a fecal antigen ELISA at diarrhea start and resolution for Escherichia coli K99, rotavirus, coronavirus, and Cryptosporidium parvum were performed. Linear regression showed that ZM-treated bull calves had 22 g increased ADG compared to placebo-treated bulls (P = 0.042). ZM-treated heifers had 9 g decreased ADG compared to placebo-treated heifers (P = 0.037), after adjusting for average birth weight. Sex-stratified models showed that high birth weight heifers treated with ZM gained more than placebo-treated heifers of the same birth weight, which suggests a dose-response effect rather than a true sex-specific effect of ZM on ADG. Cox regression showed that ZM and ZS-treated calves had a 14.7% (P = 0.015) and 13.9% (P = 0.022) reduced hazard of diarrhea, respectively, compared to placebo-treated calves. Calves supplemented for at least the first five days of diarrhea with ZM and ZS had a 21.4% (P = 0.027) and 13.0% (P = 0.040) increased hazard of cure from diarrhea, respectively, compared to placebo-treated calves. Logistic regression showed that the odds of microbiological cure at diarrhea resolution for rotavirus, C. parvum, or any single fecal pathogen was not different between treatment groups. Zinc supplementation delayed diarrhea and expedited diarrhea recovery in pre-weaned calves. Additionally, zinc improved weight gain differentially in bulls compared to heifers, indicating a research need for sex-specific dosing.</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: 10.1371/journal.pone.0219321</text>
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            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="12469">
                <text>PLoS ONE</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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                <text>Public Library of Science (PLoS)</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>Science, Medicine</text>
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            <description>A language of the resource</description>
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                <text>EN</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Analysis of cathepsin and furin proteolytic enzymes involved in viral fusion protein activation in cells of the bat reservoir host.</text>
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                <text>Farah El Najjar, Levi Lampe, Michelle L. Baker, Lin-Fa Wang, Rebecca Ellis Dutch</text>
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                <text>Bats of different species play a major role in the emergence and transmission of highly pathogenic viruses including Ebola virus, SARS-like coronavirus and the henipaviruses. These viruses require proteolytic activation of surface envelope glycoproteins needed for entry, and cellular cathepsins have been shown to be involved in proteolysis of glycoproteins from these distinct virus families. Very little is currently known about the available proteases in bats. To determine whether the utilization of cathepsins by bat-borne viruses is related to the nature of proteases in their natural hosts, we examined proteolytic processing of several viral fusion proteins in cells derived from two fruit bat species, Pteropus alecto and Rousettus aegyptiacus. Our work shows that fruit bat cells have homologs of cathepsin and furin proteases capable of cleaving and activating both the cathepsin-dependent Hendra virus F and the furin-dependent parainfluenza virus 5 F proteins. Sequence analysis comparing Pteropus alecto furin and cathepsin L to proteases from other mammalian species showed a high degree of conservation; however significant amino acid variation occurs at the C-terminus of Pteropus alecto furin. Further analysis of furin-like proteases from fruit bats revealed that these proteases are catalytically active and resemble other mammalian furins in their response to a potent furin inhibitor. However, kinetic analysis suggests that differences may exist in the cellular localization of furin between different species. Collectively, these results indicate that the unusual role of cathepsin proteases in the life cycle of bat-borne viruses is not due to the lack of active furin-like proteases in these natural reservoir species; however, differences may exist between furin proteases present in fruit bats compared to furins in other mammalian species, and these differences may impact protease usage for viral glycoprotein processing.</text>
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                <text>2015</text>
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                <text>DOI: 10.1371/journal.pone.0115736</text>
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                <text>PLoS ONE</text>
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                <text>Science, Medicine</text>
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                  <text>Dominio científico: Coronavirus</text>
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      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Adenovirus and herpesvirus diversity in free-ranging great apes in the Sangha region of the Republic Of Congo.</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="12483">
                <text>Tracie A Seimon, Sarah H. Olson, Kerry Jo Lee, Gail Rosen, Alain Ondzie, Kenneth Cameron, Patricia Reed, Simon J Anthony, Damien O Joly, William B. Karesh, Denise McAloose, W. Ian Lipkin</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="12484">
                <text>Infectious diseases have caused die-offs in both free-ranging gorillas and chimpanzees. Understanding pathogen diversity and disease ecology is therefore critical for conserving these endangered animals. To determine viral diversity in free-ranging, non-habituated gorillas and chimpanzees in the Republic of Congo, genetic testing was performed on great-ape fecal samples collected near Odzala-Kokoua National Park. Samples were analyzed to determine ape species, identify individuals in the population, and to test for the presence of herpesviruses, adenoviruses, poxviruses, bocaviruses, flaviviruses, paramyxoviruses, coronaviruses, filoviruses, and simian immunodeficiency virus (SIV). We identified 19 DNA viruses representing two viral families, Herpesviridae and Adenoviridae, of which three herpesviruses had not been previously described. Co-detections of multiple herpesviruses and/or adenoviruses were present in both gorillas and chimpanzees. Cytomegalovirus (CMV) and lymphocryptovirus (LCV) were found primarily in the context of co-association with each other and adenoviruses. Using viral discovery curves for herpesviruses and adenoviruses, the total viral richness in the sample population of gorillas and chimpanzees was estimated to be a minimum of 23 viruses, corresponding to a detection rate of 83%. These findings represent the first description of DNA viral diversity in feces from free-ranging gorillas and chimpanzees in or near the Odzala-Kokoua National Park and form a basis for understanding the types of viruses circulating among great apes in this region.</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="12485">
                <text>2015</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="12486">
                <text>DOI: 10.1371/journal.pone.0118543</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="12487">
                <text>PLoS ONE</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="12488">
                <text>Public Library of Science (PLoS)</text>
              </elementText>
            </elementTextContainer>
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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="12489">
                <text>Science, Medicine</text>
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            </elementTextContainer>
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          <element elementId="44">
            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="12490">
                <text>EN</text>
              </elementText>
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        <src>https://www.socictopen.socict.org/files/original/c8ccb112a75c9084c3a871c32d5da29d.pdf</src>
        <authentication>3eae7a19681f6dd8f98d068458ad9d57</authentication>
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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>
              <elementTextContainer>
                <elementText elementTextId="1">
                  <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>
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              </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="12491">
                <text>Evaluation of the Association between Air Pollutants and Number of Cases with Severe Acute Respiratory Syndrome Recorded at Emergency Medical Centers in Tehran, Iran in 2013</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="12492">
                <text>sadegh khazaei, Saeed Motesaddi, Koorosh Etemad, Yousef Rashidi, hamid Gheibipoor, Marzieh Rohani</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="12493">
                <text>Introduction and purpose: Air pollution is an important risk factor for the&amp;nbsp;environment and public health, associated with increased severity of respiratory&amp;nbsp;diseases. This study aimed to evaluate the association between various air pollutants&amp;nbsp;and number of cases with severe acute respiratory syndrome referred to emergency&amp;nbsp;medical centers in Tehran, Iran in 2013.&amp;nbsp;Methods: In this ecological study, the relationship between air pollution and acute&amp;nbsp;respiratory symptoms in patients referred to the emergency centers of Tehran in&amp;nbsp;2013 was assessed. In total, 36787 patients with acute respiratory symptoms has&amp;nbsp;been registered in these centers. Data on the number of cases with acute respiratory&amp;nbsp;symptoms and air pollutants of emergency centers and air quality monitoring&amp;nbsp;stations were collected. Moreover, Poisson regression was used to assess the&amp;nbsp;relationship between air pollutant concentrations (PM2.5, SO2, NO2, O3, CO) and&amp;nbsp;the number of cases with severe acute respiratory syndrome.&amp;nbsp;Results: The results of the current study demonstrated that CO (weekly average&amp;nbsp;IRR=1.1) and SO2 (three days average IRR=1.03 and weekly average IRR= 1.04)&amp;nbsp;increased the risk of respiratory diseases 10%, 3%, and 4%, respectively. Consequently,&amp;nbsp;longer duration of pollutants would increase the risk of respiratory syndromes.&amp;nbsp;Conclusion: According to the results of this study, increased air pollutant&amp;nbsp;concentrations could be associated with escalated number of patients with acute&amp;nbsp;respiratory symptoms referred to the emergency medical centers in Tehran.</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="12494">
                <text>2016</text>
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            </elementTextContainer>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="12495">
                <text>air pollution, Respiratory disease, Tehran</text>
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          </element>
          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="12496">
                <text>DOI: </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="12497">
                <text>تحقیقات سلامت در جامعه</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="12498">
                <text>Mazandaran University of Medical Sciences</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="12499">
                <text>Public aspects of medicine, Medicine</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="44">
            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="12500">
                <text>FA</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
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