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              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>How Did Chinese Government Implement Unconventional Measures Against COVID-19 Pneumonia</text>
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                <text>Yu X, Li N.</text>
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                <text>Xiang Yu,1 Na Li2,3 1School of Public Affairs, Fujian Jiangxia University, Fuzhou, Fujian Province, People&amp;rsquo;s Republic of China; 2School of Law, Ningbo University, Ningbo, Zhejiang Province, People&amp;rsquo;s Republic of China; 3Research Academy of Belt and Road, Ningbo University, Ningbo, Zhejiang Province, People&amp;rsquo;s Republic of ChinaCorrespondence: Na LiNingbo University, 818st Fenghua Road Jiangbei, Ningbo 315211, People&amp;rsquo;s Republic of ChinaEmail nali321@126.comAbstract: In recent years, respiratory infectious diseases had continued to attack China, the recent outbreak of COVID-19 pneumonia had attracted worldwide attention. Through studying the literature, interpreting official documents, analyzing medical and social management data, we summarized and compared some powerful measures taken by the Chinese government, such as declaring emergency state, blocking down the epidemic center, prohibiting crowd gathering activities, forcing residents to wear masks, and mobilizing medical staff and products. We found that these unconventional measures, on the one hand, controlled the spread of the epidemic in China, and on the other hand, exposed some of China&amp;rsquo;s shortcomings in biosafety, food safety, public health input, and emergency system construction. This paper also recommends that other countries should take strict isolation measures as early as possible when fighting COVID-19 epidemics, and also mobilize citizens to strengthen self-protection.Keywords: COVID-19, anti-epidemic, risk, legality</text>
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                <text>2020</text>
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                <text>COVID-19, anti-epidemic, risk；legality</text>
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                <text>DOI: </text>
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            <name>Source</name>
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                <text>Risk Management and Healthcare Policy</text>
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                <text>Dove Medical Press</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>Public aspects of medicine</text>
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              <name>Title</name>
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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>
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            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Development and validation of a risk factor-based system to predict short-term survival in adult hospitalized patients with COVID-19: a multicenter, retrospective, cohort study</text>
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                <text>Yu Zhang, Feng Wu, Mengfei Guo, Xuan Wang, Shuai Zhang, Juanjuan Xu, Yang Jin, Limin Duan, Guorong Hu, Zhihui Wang, Qi Huang, Tingting Liao, Yanling Ma, Zhilei Lv, Wenjing Xiao, Zilin Zhao, Xueyun Tan, Daquan Meng, Shujing Zhang, E Zhou, Zhengrong Yin, Wei Geng, Jianchu Zhang, Jianguo Chen</text>
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                <text>Abstract Background Coronavirus disease 2019 (COVID-19) has become a public health emergency of global concern. We aimed to explore the risk factors of 14-day and 28-day mortality and develop a model for predicting 14-day and 28-day survival probability among adult hospitalized patients with COVID-19. Methods In this multicenter, retrospective, cohort study, we examined 828 hospitalized patients with confirmed COVID-19 hospitalized in Wuhan Union Hospital and Central Hospital of Wuhan between January 12 and February 9, 2020. Among the 828 patients, 516 and 186 consecutive patients admitted in Wuhan Union Hospital were enrolled in the training cohort and the validation cohort, respectively. A total of 126 patients hospitalized in Central Hospital of Wuhan were enrolled in a second external validation cohort. Demographic, clinical, radiographic, and laboratory measures; treatment; proximate causes of death; and 14-day and 28-day mortality are described. Patients’ data were collected by reviewing the medical records, and their 14-day and 28-day outcomes were followed up. Results Of the 828 patients, 146 deaths were recorded until May 18, 2020. In the training set, multivariate Cox regression indicated that older age, lactate dehydrogenase level over 360 U/L, neutrophil-to-lymphocyte ratio higher than 8.0, and direct bilirubin higher than 5.0 μmol/L were independent predictors of 28-day mortality. Nomogram scoring systems for predicting the 14-day and 28-day survival probability of patients with COVID-19 were developed and exhibited strong discrimination and calibration power in the two external validation cohorts (C-index, 0.878 and 0.839). Conclusion Older age, high lactate dehydrogenase level, evaluated neutrophil-to-lymphocyte ratio, and high direct bilirubin level were independent predictors of 28-day mortality in adult hospitalized patients with confirmed COVID-19. The nomogram system based on the four factors revealed good discrimination and calibration, suggesting good clinical utility.</text>
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                <text>2020</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>mortality, covid-19, risk factor, Prediction System</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>10.1186/s13054-020-03123-x</text>
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            <description>A related resource from which the described resource is derived</description>
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                <text>Epidemiology and Health</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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                <text>Korean Society of Epidemiology</text>
              </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="51524">
                <text>Medical emergencies. Critical care. Intensive care. First aid</text>
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              <name>Title</name>
              <description>A name given to the resource</description>
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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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        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>A Novel Range Compression Algorithm for Resolution Enhancement in GNSS-SARs</text>
              </elementText>
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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="9941">
                <text>Yu Zheng, Yang Yang, Wu Chen</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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                <text>In this paper, a novel range compression algorithm for enhancing range resolutions of a passive Global Navigation Satellite System-based Synthetic Aperture Radar (GNSS-SAR) is proposed. In the proposed algorithm, within each azimuth bin, firstly range compression is carried out by correlating a reflected GNSS intermediate frequency (IF) signal with a synchronized direct GNSS base-band signal in the range domain. Thereafter, spectrum equalization is applied to the compressed results for suppressing side lobes to obtain a final range-compressed signal. Both theoretical analysis and simulation results have demonstrated that significant range resolution improvement in GNSS-SAR images can be achieved by the proposed range compression algorithm, compared to the conventional range compression algorithm.</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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                <text>2017</text>
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            <name>Subject</name>
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                <text>GNSS-SAR, Global Navigation Satellite System, synthetic aperture radar, range compression, range resolution</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: 10.3390/s17071496</text>
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          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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                <text>Sensors</text>
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                <text>MDPI AG</text>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Chemical technology</text>
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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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                  <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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            <description>A name given to the resource</description>
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                <text>Antiviral Action of Tryptanthrin Isolated from &lt;i&gt;Strobilanthes cusia&lt;/i&gt; Leaf against Human Coronavirus NL63</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="13919">
                <text>Yu-Chi Tsai, Chia-Lin Lee, Hung-Rong Yen, Young-Sheng Chang, Yuping Lin, Su-Hua Huang, Cheng-Wen Lin</text>
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            <description>An account of the resource</description>
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                <text>Strobilanthes cusia (Nees) Kuntze is a Chinese herbal medicine used in the treatment of respiratory virus infections. The methanol extract of S. cusia leaf contains chemical components such as &amp;#946;-sitosterol, indirubin, tryptanthrin, betulin, indigodole A, and indigodole B that have diverse biological activities. However, the antiviral action of S. cusia leaf and its components against human coronavirus remains to be elucidated. Human coronavirus NL63 infection is frequent among immunocompromised individuals, young children, and in the elderly. This study investigated the anti-Human coronavirus NL63 (HCoV-NL63) activity of the methanol extract of S. cusia leaf and its major components. The methanol extract of S. cusia leaf effectively inhibited the cytopathic effect (CPE) and virus yield (IC50 = 0.64 &amp;#956;g/mL) in HCoV-NL63-infected cells. Moreover, this extract potently inhibited the HCoV-NL63 infection in a concentration-dependent manner. Among the six components identified in the methanol extract of S. cusia leaf, tryptanthrin and indigodole B (5aR-ethyltryptanthrin) exhibited potent antiviral activity in reducing the CPE and progeny virus production. The IC50 values against virus yield were 1.52 &amp;#956;M and 2.60 &amp;#956;M for tryptanthrin and indigodole B, respectively. Different modes of time-of-addition/removal assay indicated that tryptanthrin prevented the early and late stages of HCoV-NL63 replication, particularly by blocking viral RNA genome synthesis and papain-like protease 2 activity. Notably, tryptanthrin (IC50 = 0.06 &amp;#956;M) and indigodole B (IC50 = 2.09 &amp;#956;M) exhibited strong virucidal activity as well. This study identified tryptanthrin as the key active component of S. cusia leaf methanol extract that acted against HCoV-NL63 in a cell-type independent manner. The results specify that tryptanthrin possesses antiviral potential against HCoV-NL63 infection.</text>
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                <text>2020</text>
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                <text>&lt;i&gt;strobilanthes cusia&lt;/i&gt;, tryptanthrin, indigodole b, human coronavirus NL63, antiviral, virucidal</text>
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                <text>DOI: 10.3390/biom10030366</text>
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            <description>A related resource from which the described resource is derived</description>
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                <text>Biomolecules</text>
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            <description>An entity responsible for making the resource available</description>
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                <text>MDPI AG</text>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Microbiology</text>
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                <text>EN</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Characterization of the Role of Hexamer AGUAAA and Poly(A) Tail in Coronavirus Polyadenylation.</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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                <text>Yu-Hui Peng, Ching-Houng Lin, Chao-Nan Lin, Chen-Yu Lo, Tsung-Lin Tsai, Hung-Yi Wu</text>
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              <elementText elementTextId="744">
                <text>Similar to eukaryotic mRNA, the positive-strand coronavirus genome of ~30 kilobases is 5'-capped and 3'-polyadenylated. It has been demonstrated that the length of the coronaviral poly(A) tail is not static but regulated during infection; however, little is known regarding the factors involved in coronaviral polyadenylation and its regulation. Here, we show that during infection, the level of coronavirus poly(A) tail lengthening depends on the initial length upon infection and that the minimum length to initiate lengthening may lie between 5 and 9 nucleotides. By mutagenesis analysis, it was found that (i) the hexamer AGUAAA and poly(A) tail are two important elements responsible for synthesis of the coronavirus poly(A) tail and may function in concert to accomplish polyadenylation and (ii) the function of the hexamer AGUAAA in coronaviral polyadenylation is position dependent. Based on these findings, we propose a process for how the coronaviral poly(A) tail is synthesized and undergoes variation. Our results provide the first genetic evidence to gain insight into coronaviral polyadenylation.</text>
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                <text>DOI: 10.1371/journal.pone.0165077</text>
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              <elementText elementTextId="747">
                <text>PLoS ONE</text>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
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            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
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                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
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              </elementTextContainer>
            </element>
          </elementContainer>
        </elementSet>
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    </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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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="43950">
                <text>One-Seventh of Patients with COVID-19 Had Olfactory and Gustatory Abnormalities as Their Initial Symptoms: A Systematic Review and Meta-Analysis</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="43951">
                <text>Yu-Jyun Cheng, Hsin Chi, Nan-Chang Chiu, Chun-Chih Peng, Chao-Hsu Lin, Yu-Lin Tai, Ming-Dar Lee, Boon  Fatt Tan, Chien-Yu Lin</text>
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          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="43952">
                <text>Coronavirus disease 2019 (COVID-19) patients exhibited protean clinical manifestations. Olfactory and gustatory abnormalities (anosmia and ageusia) were observed in COVID-19 patients, but the reported prevalence varied. In this systematic review, the prevalence of olfactory and gustatory abnormalities (OGA) was evaluated in laboratory-confirmed COVID-19 patients. On 8 May 2020, 14,506 articles were screened, while 12 of them were enrolled. A total of 1739 COVID-19 patients were analyzed, with a wide range of prevalence observed (5.6–94%). The pooled prevalence was 48.5% with high heterogeneity (I2, 98.8%; p &lt; 0.0001). In total, 15.5% had OGA as their first symptom (I2, 22.6%; p = 0.27) among the patients analyzed. Contradictory to COVID-19 negative controls, patients with COVID-19 had a higher risk of OGA (odds ratio, 5.3; I2, 66.5%; p = 0.03). In conclusion, approximately half of COVID-19 patients had OGA, and one-seventh of them had OGA as their initial symptoms. OGA were cardinal symptoms of COVID-19, which may serve as clues for early diagnosis. Diagnostic testing for SARS-CoV-2 was suggested in patients with OGA during the COVID-19 pandemic to ensure timely diagnosis and appropriate quarantine.</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="43953">
                <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="43954">
                <text>covid-19, novel coronavirus, SARS-CoV-2, anosmia, Ageusia</text>
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          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="43955">
                <text>10.3390/life10090158</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="43956">
                <text>Biotemas</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="43957">
                <text>Universidade Federal de Santa Catarina</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="38">
            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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              <elementText elementTextId="43958">
                <text>Science</text>
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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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              </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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      <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="6283">
                <text>Spread of Mutant Middle East Respiratory Syndrome Coronavirus with Reduced Affinity to Human CD26 during the South Korean Outbreak</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="6284">
                <text>Yu-Ri Kim, Shinhye Cheon, Chan-Ki Min, Kyung Mok Sohn, Ying Jin Kang, Young-Je Cha, Ju-Il Kang, Seong Kyu Han, Na-Young Ha, Gwanghun Kim, Abdimadiyeva Aigerim, Hyun Mu Shin, Myung Sik Choi, Sanguk Kim, Hyun-Soo Cho, Yeon Sook Kim, Nam-Hyuk Cho</text>
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          <element elementId="41">
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            <description>An account of the resource</description>
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              <elementText elementTextId="6285">
                <text>The newly emerging Middle East respiratory syndrome coronavirus (MERS-CoV) causes a severe respiratory infection with a high mortality rate (~35%). MERS-CoV has been a global threat due to continuous outbreaks in the Arabian peninsula and international spread by infected travelers since 2012. From May to July 2015, a large outbreak initiated by an infected traveler from the Arabian peninsula swept South Korea and resulted in 186 confirmed cases with 38 deaths (case fatality rate, 20.4%). Here, we show the rapid emergence and spread of a mutant MERS-CoV with reduced affinity to the human CD26 receptor during the South Korean outbreak. We isolated 13 new viral genomes from 14 infected patients treated at a hospital and found that 12 of these genomes possess a point mutation in the receptor-binding domain (RBD) of viral spike (S) protein. Specifically, 11 of these genomes have an I529T mutation in RBD, and 1 has a D510G mutation. Strikingly, both mutations result in reduced affinity of RBD to human CD26 compared to wild-type RBD, as measured by surface plasmon resonance analysis and cellular binding assay. Additionally, pseudotyped virus bearing an I529T mutation in S protein showed reduced entry into host cells compared to virus with wild-type S protein. These unexpected findings suggest that MERS-CoV adaptation during human-to-human spread may be driven by host immunological pressure such as neutralizing antibodies, resulting in reduced affinity to host receptor, and thereby impairs viral fitness and virulence, rather than positive selection for a better affinity to CD26.</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="6286">
                <text>2016</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="6287">
                <text>DOI: 10.1128/mBio.00019-16</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="6288">
                <text>mBio</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="6289">
                <text>American Society for Microbiology</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="6290">
                <text>Microbiology</text>
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            </elementTextContainer>
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            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="6291">
                <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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                <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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              </elementTextContainer>
            </element>
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      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
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      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="59887">
                <text>The Optimal Limit Prices of Limit Orders under an Extended Geometric Brownian Motion with Bankruptcy Risk</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="59888">
                <text>Yu-Sheng Hsu, Pei-Chun Chen, Cheng-Hsun Wu</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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                <text>In the Black and Scholes system, the underlying asset price model follows geometric Brownian motion (GBM) with no bankruptcy risk. While GBM is a commonly used model in financial markets, bankruptcy risk should be considered in the case of a severe economic crisis, such as that caused by the COVID-19 pandemic. The omission of bankruptcy risk could considerably influence the setting of a trading strategy. In this article, we adopt an extended GBM model that considers the bankruptcy risk and study its optimal limit price problem. A limit order is a classical trading strategy for investing in stocks. First, we construct the explicit expressions of the expected discounted profit functions for sell and buy limit orders and then derive their optimal limit prices. Furthermore, via sensitivity analysis, we discuss the influence of the omission of bankruptcy risk in executing limit orders.</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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                <text>2021</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="59891">
                <text>Black–Scholes model, Geometric Brownian motion, Limit Orders, optimal limit prices</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="59892">
                <text>10.3390/math9010054</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="59893">
                <text>Epidemiology and Health</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="59894">
                <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="59895">
                <text>Mathematics</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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      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
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      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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          <element elementId="50">
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                <text>Innate Immune Responses and Viral-Induced Neurologic Disease</text>
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            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="22030">
                <text>Yu-Ting Cheng, Dominic  D. Skinner, Thomas E Lane</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Multiple sclerosis (MS) is a disease of the central nervous system (CNS) characterized by chronic neuroinflammation, axonal damage, and demyelination. Cellular components of the adaptive immune response are viewed as important in initiating formation of demyelinating lesions in MS patients. This notion is supported by preclinical animal models, genome-wide association studies (GWAS), as well as approved disease modifying therapies (DMTs) that suppress clinical relapse and are designed to impede infiltration of activated lymphocytes into the CNS. Nonetheless, emerging evidence demonstrates that the innate immune response e.g., neutrophils can amplify white matter damage through a variety of different mechanisms. Indeed, using a model of coronavirus-induced neurologic disease, we have demonstrated that sustained neutrophil infiltration into the CNS of infected animals correlates with increased demyelination. This brief review highlights recent evidence arguing that targeting the innate immune response may offer new therapeutic avenues for treatment of demyelinating disease including MS.</text>
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                <text>2018</text>
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            <name>Subject</name>
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                <text>virus, Innate Immunity, Neutrophils, demyelination, remyelination</text>
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            <name>Identifier</name>
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              <elementText elementTextId="22034">
                <text>DOI: 10.3390/jcm8010003</text>
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            <name>Source</name>
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              <elementText elementTextId="22035">
                <text>Journal of Clinical Medicine</text>
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          <element elementId="45">
            <name>Publisher</name>
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                <text>MDPI AG</text>
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                <text>Medicine</text>
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                <text>EN</text>
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        <src>https://www.socictopen.socict.org/files/original/ec24feb5d00f893b52a61ead186e3a95.pdf</src>
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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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          <element elementId="50">
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                <text>Etiological Features of Community-Acquired Pneumonia Associated with the Outbreak of Acute Respiratory Diseases and Peculiarities of Its Course in Mobilized Soldiers of the Armed Forces of Ukraine</text>
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            <name>Creator</name>
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                <text>Yu.O. Sliesarenko</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Community-acquired pneumonia remains one of the most pressing problems of bronchopulmonary pathology among military personnel. Risk group are newly organized military units, where outbreaks of infectious diseases occur, in particular acute respiratory ones, that caused the outbreaks of community-acquired pneumonia. Despite the fact that considerable progress was achieved in the diagnosis and treatment of community-acquired pneumonia and prevention of its complications, on the one hand, there was a significant evolution in the views on the understanding of the pathogenesis of infectious process, on the other — the indices of morbidity and mortality remain its growth dynamics around the world. We have examined separately 50 patients with community-acquired pneumonia, who were treated in April 2015. Of these, in 44 (88 %) patients we have detected a viral agent: adenovirus — in 34 patients, rhinovirus — in 14, influenza A — in 3, parainfluenza — in 1, coronavirus 229E — in 1, coronavirus OC43 — in 1 patient ; viral agent has not been detected in 6 patients.</text>
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            <name>Date</name>
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                <text>2016</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>Community-acquired pneumonia, viral-bacterial pneumonia, Acute respiratory diseases</text>
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            <name>Identifier</name>
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                <text>DOI: 10.22141/2312-413x.3.12.2016.81715</text>
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            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="5797">
                <text>Aktualʹnaâ Infektologiâ</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="5798">
                <text>Publishing House Zaslavsky</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="5799">
                <text>Infectious and parasitic diseases</text>
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            <name>Language</name>
            <description>A language of the resource</description>
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                <text>EN, RU, UK</text>
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