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                  <text>Dominio científico: Coronavirus</text>
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                <text>Quality of Respiratory Infection Disease Prevention in Outpatient and Emergency Departments in Hospitals in Inner Mongolia, China: An Exit Poll Survey</text>
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                <text>Zhao X, Fan Y, Xie Y, Chongsuvivatwong V, Sriplung H, McNeil E</text>
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                <text>Yijing Xie,1,2 Edward McNeil,2 Yancun Fan,1 Virasakdi Chongsuvivatwong,2 Xingsheng Zhao,3 Hutcha Sriplung2 1Health Management Faculty and Research Institute for Health Policy of Inner Mongolia, Inner Mongolia Medical University, Hohhot, Inner Mongolia, People&amp;rsquo;s Republic of China; 2Epidemiology Unit, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand; 3Inner Mongolia People&amp;rsquo;s Hospital, Hohhot, Inner Mongolia, People&amp;rsquo;s Republic of ChinaCorrespondence: Hutcha SriplungEpidemiology Unit, Faculty of Medicine, Prince of Songkla University, 15 Kanchanawanit Road, Hat Yai, Songkhla 90110, ThailandTel +66 7 445 1165Fax +66 7 442 9754Email hutcha.s@psu.ac.thPurpose: Measures to prevent respiratory infection diseases (RIDs) in hospitals are important to protect both patients and physicians. In 2003, an outbreak of severe acute respiratory syndrome occurred in Inner Mongolia Autonomous Region (IMAR) of China. We aimed to evaluate competency in RID prevention procedures in terms of hospital performance and physician behavior.Patients and Methods: We conducted a cross-sectional study in 10 tertiary general public hospitals in 3 cities of IMAR. In each hospital, we chose the respiratory and ear&amp;ndash;nose&amp;ndash;throat outpatient departments (OPDs) and the emergency department (ED) to invite patients with symptoms of cough to join the study before they consulted a physician. After their consultation, we asked the patients to complete a checklist to score the performance of the departments and the behavior of their physicians in terms of RID prevention practices according to international professional guidelines.Results: From 711 respondents, in the domain of hospital performance, display of posters on directive to wash hands after coughing/sneezing had an average score of 0.452 (range 0&amp;ndash; 1), while other cough etiquette items had scores averaging between 0.33 and 0.39. The average score for air ventilation was 0.66. For physicians&amp;rsquo; performance, informing patients the location of handwashing facilities scored the highest (0.62), while low scores were seen for offering a mask to coughing patients (0.14) and encouraging coughing patients to distance themselves from others (0.17). Most RID prevention procedures received low scores in EDs in both hospital performance and physician behavior domains.Conclusion: Hospitals in IMAR should improve their performance in RID prevention procedures, especially in giving information to RID patients through the display of posters. The practice of physicians in preventing respiratory infection spread was suboptimum. ED staff and hospital administrators should improve their procedures to prevent the spread of respiratory infections, especially given the increasing occurrences of global pandemics such as COVID-19.Keywords: hospital performance, physician behavior, spread of respiratory infections, real patients survey</text>
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                <text>2020</text>
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            <description>The topic of the resource</description>
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                <text>physician behavior, Hospital Performance, spread of respiratory infections, real patients survey</text>
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                <text>Risk Management and Healthcare Policy</text>
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                <text>Dove Medical Press</text>
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                <text>Public aspects of medicine</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>BGFE: A Deep Learning Model for ncRNA-Protein Interaction Predictions Based on Improved Sequence Information</text>
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                <text>Zhao-Hui Zhan, Lina Jia, Yong Zhou, Liping Li, Hai-Cheng Yi</text>
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                <text>The interactions between ncRNAs and proteins are critical for regulating various cellular processes in organisms, such as gene expression regulations. However, due to limitations, including financial and material consumptions in recent experimental methods for predicting ncRNA and protein interactions, it is essential to propose an innovative and practical approach with convincing performance of prediction accuracy. In this study, based on the protein sequences from a biological perspective, we put forward an effective deep learning method, named BGFE, to predict ncRNA and protein interactions. Protein sequences are represented by bi-gram probability feature extraction method from Position Specific Scoring Matrix (PSSM), and for ncRNA sequences, k-mers sparse matrices are employed to represent them. Furthermore, to extract hidden high-level feature information, a stacked auto-encoder network is employed with the stacked ensemble integration strategy. We evaluate the performance of the proposed method by using three datasets and a five-fold cross-validation after classifying the features through the random forest classifier. The experimental results clearly demonstrate the effectiveness and the prediction accuracy of our approach. In general, the proposed method is helpful for ncRNA and protein interacting predictions and it provides some serviceable guidance in future biological research.</text>
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                <text>2019</text>
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                <text>ncRNA-protein interaction, bi-gram, Position specific scoring matrix, Kmers, deep learning</text>
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                <text>DOI: 10.3390/ijms20040978</text>
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                <text>International Journal of Molecular Sciences</text>
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                <text>MDPI AG</text>
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                <text>Biology (General), Chemistry</text>
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            <description>A language of the resource</description>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Zhao-Rong Lun, Lianghu Qu</text>
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                <text>2004</text>
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                <text>DOI: 10.3201/eid1005.040022</text>
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                <text>Role of the spike glycoprotein of human Middle East respiratory syndrome coronavirus (MERS-CoV) in virus entry and syncytia formation.</text>
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                <text>Little is known about the biology of the emerging human group c betacoronavirus, Middle East Respiratory Syndrome coronavirus (MERS-CoV). Because coronavirus spike glycoproteins (S) mediate virus entry, affect viral host range, and elicit neutralizing antibodies, analyzing the functions of MERS-CoV S protein is a high research priority. MERS-CoV S on lentivirus pseudovirions mediated entry into a variety of cell types including embryo cells from New World Eptesicus fuscus bats. Surprisingly, a polyclonal antibody to the S protein of MHV, a group a murine betacoronavirus, cross-reacted in immunoblots with the S2 domain of group c MERS-CoV spike protein. MERS pseudovirions released from 293T cells contained only uncleaved S, and pseudovirus entry was blocked by lysosomotropic reagents NH4Cl and bafilomycin and inhibitors of cathepsin L. However, when MERS pseudovirions with uncleaved S protein were adsorbed at 4°C to Vero E6 cells, brief trypsin treatment at neutral pH triggered virus entry at the plasma membrane and syncytia formation. When 293T cells producing MERS pseudotypes co-expressed serine proteases TMPRSS-2 or -4, large syncytia formed at neutral pH, and the pseudovirions produced were non-infectious and deficient in S protein. These experiments show that if S protein on MERS pseudovirions is uncleaved, then viruses enter by endocytosis in a cathepsin L-dependent manner, but if MERS-CoV S is cleaved, either during virus maturation by serine proteases or on pseudovirions by trypsin in extracellular fluids, then viruses enter at the plasma membrane at neutral pH and cause massive syncytia formation even in cells that express little or no MERS-CoV receptor. Thus, whether MERS-CoV enters cells within endosomes or at the plasma membrane depends upon the host cell type and tissue, and is determined by the location of host proteases that cleave the viral spike glycoprotein and activate membrane fusion.</text>
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                <text>DOI: 10.1371/journal.pone.0076469</text>
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                <text>PLoS ONE</text>
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      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="32052">
                <text>Sociodemographic Predictors of Health Risk Perception, Attitude and Behavior Practices Associated with Health-Emergency Disaster Risk Management for Biological Hazards: The Case of COVID-19 Pandemic in Hong Kong, SAR China</text>
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            </elementTextContainer>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="32053">
                <text>Zhe Huang, Samuel Yeung Shan Wong, Emily  Ying Yang Chan, Kevin  Kei Ching Hung, Eliza Lai Yi Wong, Eugene  Siu Kai Lo</text>
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            <description>An account of the resource</description>
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                <text>In addition to top-down Health-Emergency and Disaster Risk Management (Health-EDRM) efforts, bottom-up individual and household measures are crucial for prevention and emergency response of the COVID-19 pandemic, a Public Health Emergency of International Concern (PHEIC). There is limited scientific evidence of the knowledge, perception, attitude and behavior patterns of the urban population. A computerized randomized digital dialing, cross-sectional, population landline-based telephone survey was conducted from 22 March to 1 April 2020 in Hong Kong Special Administrative Region, China. Data were collected for socio-demographic characteristics, knowledge, attitude and risk perception, and various self-reported Health-EDRM behavior patterns associated with COVID-19. The final study sample was 765. Although the respondents thought that individuals (68.6%) had similar responsibilities as government (67.5%) in infection control, less than 50% had sufficient health risk management knowledge to safeguard health and well-being. Among the examined Health-EDRM measures, significant differences were found between attitude and practice in regards to washing hands with soap, ordering takeaways, wearing masks, avoidance of visiting public places or using public transport, and travel avoidance to COVID-19-confirmed regions. Logistic regression indicated that the elderly were less likely to worry about infection with COVID-19. Compared to personal and household hygiene practices, lower compliance was found for public social distancing.</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>2020</text>
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            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="32056">
                <text>urban, health risks, Pandemic, biological hazard, Health emergency and disaster risk management, COVID-19</text>
              </elementText>
            </elementTextContainer>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="32057">
                <text>DOI: 10.3390/ijerph17113869</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="32058">
                <text>International Journal of Environmental Research and Public Health</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="32059">
                <text>MDPI AG</text>
              </elementText>
            </elementTextContainer>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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              <elementText elementTextId="32060">
                <text>Medicine</text>
              </elementText>
            </elementTextContainer>
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  <item itemId="509" public="1" featured="0">
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="1">
                  <text>Coronavirus</text>
                </elementText>
              </elementTextContainer>
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            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
              <elementTextContainer>
                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
          </elementContainer>
        </elementSet>
      </elementSetContainer>
    </collection>
    <itemType itemTypeId="1">
      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
    </itemType>
    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="4703">
                <text>Design, Synthesis and Antifungal Activity of Novel Benzofuran-Triazole Hybrids</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="4704">
                <text>Zhen Liang, Hang Xu, Ye Tian, Mengbi Guo, Xin Su, Chun Guo</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="4705">
                <text>A series of novel benzofuran-triazole hybrids was designed and synthesized by click chemistry, and their structures were characterized by HRMS, FTIR and NMR. The in vitro antifungal activity of target compounds was evaluated using the microdilution broth method against five strains of pathogenic fungi. The result indicated that the target compounds exhibited moderate to satisfactory activity. Furthermore, molecular docking was performed to investigate the binding affinities and interaction modes between the target compound and N-myristoyltransferase. Based on the results, preliminary structure activity relationships (SARs) were summarized to serve as a foundation for further investigation.</text>
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            </elementTextContainer>
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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="4706">
                <text>2016</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="4707">
                <text>Antifungal activity, N-myristoyltransferase, benzofuran, 1, 2, 3-triazole, Click chemistry, molecule hybrid</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="4708">
                <text>DOI: 10.3390/molecules21060732</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="4709">
                <text>Molecules</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="4710">
                <text>MDPI AG</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="4711">
                <text>Organic chemistry</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="44">
            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="4712">
                <text>EN</text>
              </elementText>
            </elementTextContainer>
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  <item itemId="9603" public="1" featured="0">
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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>
          <elementContainer>
            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="1">
                  <text>Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
              <elementTextContainer>
                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
          </elementContainer>
        </elementSet>
      </elementSetContainer>
    </collection>
    <itemType itemTypeId="1">
      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
    </itemType>
    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="80028">
                <text>Role of von Willebrand Factor in COVID-19 Associated Coagulopathy.</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="80029">
                <text>Zhen W Mei, Xander M R van Wijk, Huy P Pham, Maximo J Marin</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="80030">
                <text>COVID-19, the disease caused by SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) can present with symptoms ranging from none to severe. Thrombotic events occur in a significant number of patients with COVID-19, especially in critically ill patients. This apparent novel form of coagulopathy is termed COVID-19 associated coagulopathy and endothelial derived von Willebrand factor (vWF) may play an important role in its pathogenesis. vWF is a multimeric glycoprotein molecule that is involved in inflammation, primary and secondary hemostasis. Studies have shown that patients with COVID-19 have significantly elevated levels of vWF antigen and activity, likely contributing to an increased risk of thrombosis seen in CAC. The high levels of both vWF antigen and activity have been clinically correlated with worse outcomes. Furthermore, the severity of a COVID-19 infection appears to reduce molecules that regulate vWF level and activity such as ADAMT-13 and high density lipoproteins (HDL). Finally, studies have suggested that patients with blood group O (a blood group with lower than baseline levels of vWF) have a lower risk of infection and disease severity compared to other blood groups; however, more studies are needed to elucidate the role of vWF. CAC is a significant contributor to morbidity and mortality. Endothelial dysfunction with the release of pro-thrombotic factors, such as vWF, needs further examination as a possible important component in the pathogenesis CAC.</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="80031">
                <text>2021</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="80032">
                <text>covid-19, Thrombosis, coagulopathy, VON WILLEBRAND FACTOR, Endothelial injury</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="80033">
                <text>10.1093/jalm/jfab042</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="80034">
                <text>The journal of applied laboratory medicine</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
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    </elementSetContainer>
  </item>
  <item itemId="3602" public="1" featured="0">
    <fileContainer>
      <file fileId="3602">
        <src>https://www.socictopen.socict.org/files/original/3f1a20c1ef190b7fa254068d689642f3.pdf</src>
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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>
          <elementContainer>
            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="1">
                  <text>Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
              <elementTextContainer>
                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
          </elementContainer>
        </elementSet>
      </elementSetContainer>
    </collection>
    <itemType itemTypeId="1">
      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
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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>
        <elementContainer>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="33221">
                <text>High-Efficiency Simulation Framework to Analyze the Impact of Exhaust Air from COVID-19 Temporary Hospitals and its Typical Applications</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="33222">
                <text>Zhen Xu, Xin-zheng Lu, Pengju Zhao, Linlin Xie, Zhe Zheng, Donglian Gu</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="33223">
                <text>The outbreak of COVID-19 resulted in severe pressure on the existing medical infrastructure in China. Several Chinese cities began to construct temporary hospitals for the centralized treatment of COVID-19 patients. The harmful exhaust air from the outlets of these hospitals may have a significant adverse impact on the fresh-air intakes and surrounding environment. Owing to the need to rapidly construct these hospitals within 6–10 days, just a few hours are allowed for the analysis of the impact of this exhaust air on the environment. To overcome this difficulty, a high-efficiency simulation framework is proposed in this study. Based on the open-source computational fluid dynamics software, FDS, the proposed framework is adaptive and incorporates building information with different levels of detail during various design phases of the hospital, and has been applied in the design of the Wuhan Huoshenshan Hospital, the first typical COVID-19 temporary hospital in China. According to the simulation results, neither the fresh-air intakes nor the surrounding buildings would be polluted by the harmful air discharged from the air outlets of the Huoshenshan hospital. The proposed simulation framework can provide a reference for the design and overall planning of similar hospitals in China and other affected countries.</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="33224">
                <text>2020</text>
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            </elementTextContainer>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="33225">
                <text>LOD, FDS, pollutant dispersion, SARS-CoV-2, COVID-19</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="33226">
                <text>DOI: 10.3390/app10113949</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="33227">
                <text>Applied Sciences</text>
              </elementText>
            </elementTextContainer>
          </element>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="33228">
                <text>MDPI AG</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="33229">
                <text>Biology (General), Technology, Physics, Chemistry, Engineering (General). Civil engineering (General)</text>
              </elementText>
            </elementTextContainer>
          </element>
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  <item itemId="9242" public="1" featured="0">
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      <file fileId="9242">
        <src>https://www.socictopen.socict.org/files/original/db9b122fc6fb29d9a11ab1c8eb7a09ab.pdf</src>
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          <name>Dublin Core</name>
          <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="1">
                  <text>Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
              <elementTextContainer>
                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
          </elementContainer>
        </elementSet>
      </elementSetContainer>
    </collection>
    <itemType itemTypeId="1">
      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
    </itemType>
    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="77223">
                <text>RNA-induced liquid phase separation of SARS-CoV-2 nucleocapsid protein facilitates NF-κB hyper-activation and inflammation</text>
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            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="77224">
                <text>Zhen Zhuang, Jincun Zhao, Yaoxing Wu, Ling Ma, Sihui Cai, Zhiyao Zhao, Shouheng Jin, Weihong Xie, Lingli Zhou, Lei Zhang, Jun Cui</text>
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            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="77225">
                <text>Abstract The ongoing 2019 novel coronavirus disease (COVID-19) caused by SARS-CoV-2 has posed a worldwide pandemic and a major global public health threat. The severity and mortality of COVID-19 are associated with virus-induced dysfunctional inflammatory responses and cytokine storms. However, the interplay between host inflammatory responses and SARS-CoV-2 infection remains largely unknown. Here, we demonstrate that SARS-CoV-2 nucleocapsid (N) protein, the major structural protein of the virion, promotes the virus-triggered activation of NF-κB signaling. After binding to viral RNA, N protein robustly undergoes liquid–liquid phase separation (LLPS), which recruits TAK1 and IKK complex, the key kinases of NF-κB signaling, to enhance NF-κB activation. Moreover, 1,6-hexanediol, the inhibitor of LLPS, can attenuate the phase separation of N protein and restrict its regulatory functions in NF-κB activation. These results suggest that LLPS of N protein provides a platform to induce NF-κB hyper-activation, which could be a potential therapeutic target against COVID-19 severe pneumonia.</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="77226">
                <text>2021</text>
              </elementText>
            </elementTextContainer>
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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="77227">
                <text>10.1038/s41392-021-00575-7</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="77228">
                <text>Epidemiology and Health</text>
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                <text>Korean Society of Epidemiology</text>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Biology (General), Medicine</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>Title</name>
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                <text>Analysis on the characteristics and contributing factors of ophthalmic online consultation during the COVID-19 epidemic</text>
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            <name>Creator</name>
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              <elementText elementTextId="47684">
                <text>Zhen-Zhen Liu, Xiao-Hang Wu, Jing-Jing Chen, Pi-Song Yan, Ling Jin, Wei-Ling Hu, En-En Zhang, Wei Li, Hao-Tian Lin</text>
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                <text>AIM: To analyze the demands, consultation patterns and contributing factors of the patients involved in the ophthalmic on-line consultation during the COVID-19 epidemic to provide reference for the optimization of the ophthalmic online health care system.METHODS: Prospective observational study. The patients using “expert online consultation” provided by the Zhongshan Ophthalmic Center from February 1 to March 15, 2020 were enrolled. The baseline characteristics were analyzed. For the patients with repeated consultation, we randomly selected the same amount of patients with single consultation as comparison. The baseline characteristics, consultation purposes, disease types, and number of combined eye diseases between the patients with single and repeated consultation were compared, and the contributing factors of patients'consultation pattern were analyzed with statistical test and regression model.RESULTS: The “expert online consultation” provided 9 831 consultations during the study, 3 919 of which were single consultation while 5 912 of which came from the repeated consultations of 1 967 patients. 1 967 patients with single consultation were randomly selected and compared with the repeated inquirers. The main consultation purposes in the both groups were “return visit”(59.7%, 64.9%). There was no significant difference in age and gender distribution between the patients with single online visit and repeated online visits(P=0.897, 0.482). Compared with the patients with single visit, the patients with repeated visit were less with the purpose of “new-onset discomfort”, more with the purpose of “return visit” and “follow-up after surgery”, more with ocular surface, fundus and uveal diseases, and more with two or more combined eye diseases. Regression analysis showed that the patients with ocular refractive issues tended to have a single consultation, while the patients inquired on previous eye disease and surgery, with fundus or uveal disease tended to have repeated consultations. The number of repeated visits for the patients with diagnosed ophthalmopathy and ophthalmic surgery was higher than that for the patients with new-onset discomfort; the number of repeated visits was lower for the patients with lens and anterior segment diseases, and was higher for the patients with ocular surface diseases.CONCLUSION: During the COVID-19 epidemic, the main purpose of on-line ophthalmic consultation was return visit for the diagnosed eye diseases. Type of eye disease, consultation purpose and number of combined ophthalmopathies all affected whether the patients repeated the consultation and the repeated times. The arrangement of ophthalmologists in different sub-specialties should be adjusted according to the patients' needs and their consultation patterns.</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>Epidemic, covid-19, , telemedicine</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="47688">
                <text>10.3980/j.issn.1672-5123.2020.11.35</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="47689">
                <text>Guoji Yanke Zazhi</text>
              </elementText>
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          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="47690">
                <text>Press of International Journal of Ophthalmology (IJO PRESS)</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="47691">
                <text>Ophthalmology</text>
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