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                <text>TEKSTİL VE/VEYA KONFEKSİYON SEKTÖRLERİNDE FAALİYET GÖSTEREN KÜÇÜK VE ORTA BÜYÜKLÜKTEKİ İŞLETMELERİN PAZARLAMA SORUNLARI VE ELEKTRONİK TİCARETTEN BEKLENTİLERİ -MERSİN ÖLÇEKLİ BİR UYGULAMA-</text>
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                <text>Ayşe Şahin, HULÛSİ DEMİR</text>
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                <text>In this article, the marketing problems of 44 SMEs’ which function in textile and garment sectors in Mersin region, were questioned and analyzed. Thus, the opinions of these SMEs’ managers’ about electronic commerce are investigated. By this way, we tried to conduct new perspectives to these businesses about the solution of marketing problems, electronic commerce and electronic marketing.</text>
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                <text>2013</text>
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                <text>Dokuz Eylül Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi</text>
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                <text>Dokuz Eylül University</text>
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                <text>Economics as a science, Political science, Political science (General)</text>
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                <text>Current Status in Middle East Respiratory Syndrome Coronavirus</text>
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                <text>Ayşe UYAN, Oğuz Reşat Sipahi, Ediz TÜTÜNCÜ, Hilal Sipahi, Dilek Arman</text>
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                <text>Middle East respiratory syndrome coronavirus (MERS-CoV) which was first described in 2012, belongs to the CoV family. Coronaviruses may cause global outbreaks with high mortality. Although there is no definite evidence, it is thought that bats are reservoir hosts and one-humped camels are intermediate hosts. According to the World Health Organization data, 1,698 MERS-CoV cases were identified as of March, 23th, 2016 with 609 (36%) deaths. Most of the cases were seen in Saudi Arabia. South Korea is the country following Saudi Arabia where most of the cases developed through in-hospital spread. There is no reported case from Turkey except a Turkish patient returning from Saudi Arabia. In Saudi Arabia, there was a marked peak in new cases during April 2014 and May 2014. Although there was no spesific symptom or laboratory finding that belongs to MERS-CoV, pneumonia, acute respiratory distress syndrome and acute renal failure were the most common clinical conditions. Diabetes mellitus, hypertension, congestive hearth failure and chronic renal failure were usually the main predisposing diseases. Real-time polymerase chain reaction is the gold standard for diagnosis and lower respiratory samples are preferred because of high viral load. There is no spesific treatment for MERS-CoV but there are reports showing decreased viral load with ribavirin-interferon combination. Strict and correct personal protective equipment use is the most important factor for preventing the spread of the disease.</text>
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                <text>interferon, Arabian Peninula, Epidemiology, Middle East respiratory syndrome, Middle East respiratory syndrome coronavirus</text>
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                <text>DOI: 10.4274/mjima.2016.6</text>
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                <text>Mediterranean Journal of Infection, Microbes and Antimicrobials</text>
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                <text>Galenos Yayinevi</text>
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                <text>Infectious and parasitic diseases, Medicine</text>
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                <text>Aysen Berberoglu</text>
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                <text>When COVID -19, the novel coronavirus leading to severe acute respiratory syndrome, first identified in Wuhan China during December 2019, Northern Cyprus community would never imagine the virus could make its way to the less populated and mostly isolated part of the island. During the first week of March 2020, the uneasiness was in the minds of people and suspected coronavirus cases started to surface. However, until 10th of March 2020, the suspected cases were found COVID-19 negative. On 10th of March 2020, the first positive case of COVID -19 was reported who was a German woman tourist, arrived with a charter flight two days before. By 12th of April, North Cyprus had a total of 99 positive COVID -19 cases, 3 deaths and 57 recovered.</text>
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                <text>DOI: 10.5799/jcei/8213</text>
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                <text>Journal of Clinical and Experimental Investigations</text>
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                <text>Association of Health Investigations</text>
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                <text>Medicine</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Covid-19 Pandemic Publication During 2020 in Indonesia (A Bibliometrics Study)</text>
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                <text>Ayu Trysnawati, Karmila Pare Allo</text>
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                <text>The Covid-19 was declared as a pandemic outbreak by WHO at the beginning of this year. In Indonesia, the government officially stated that the Covid-19 had entered the country was in March 2020. Since then, this outbreak has become an issue that has been widely studied in various disciplines. This research describes the trend of journal publication on the covid-19 pandemic in Indonesia; authors collaboration, publication form, and distribution of disciplines. The data were obtained through GARUDA (Garba Rujukan Digital/Digital Reference Site) published from March to the end of October 2020, where there were 326 journal publications with the theme of the Covid-19 pandemic. With Ms. Excel, the data were analyzed using simple statistics. The results found that there was a total of 688 authors, both individual or collaborative authors from 326 journal publications. The author collaboration rate was 0.561 or 56.1%. It indicates that there were more collaborative articles than written individually. Many forms of publication were research articles compared to literature reviews on the theme of the Covid-19 pandemic. The discipline fields of science that most published the Covid-19 pandemic theme were education, law, and health.</text>
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                <text>10.24252/kah.v8i2a9</text>
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                <text>Khizanah al-Hikmah</text>
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                <text>Department of Library Science  Program Studi Ilmu Perpustakaan UIN Alauddin</text>
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                <text>Bibliography. Library science. Information resources</text>
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                <text>Ayumu Asai, Masamitsu Konno, Miyuki Ozaki, Chihiro Otsuka, Andrea Vecchione, Takahiro Arai, Toru Kitagawa, Ken Ofusa, Masami Yabumoto, Takaaki Hirotsu, Masateru Taniguchi, Hidetoshi Eguchi, Yuichiro Doki, Hideshi Ishii</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="16283">
                <text>Since the infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was reported in China during December 2019, the coronavirus disease 2019 (COVID-19) has spread on a global scale, causing the World Health Organization (WHO) to issue a warning. While novel vaccines and drugs that target SARS-CoV-2 are under development, this review provides information on therapeutics which are under clinical trials or are proposed to antagonize SARS-CoV-2. Based on the information gained from the responses to other RNA coronaviruses, including the strains that cause severe acute respiratory syndrome (SARS)-coronaviruses and Middle East respiratory syndrome (MERS), drug repurposing might be a viable strategy. Since several antiviral therapies can inhibit viral replication cycles or relieve symptoms, mechanisms unique to RNA viruses will be important for the clinical development of antivirals against SARS-CoV-2. Given that several currently marketed drugs may be efficient therapeutic agents for severe COVID-19 cases, they may be beneficial for future viral pandemics and other infections caused by RNA viruses when standard treatments are unavailable.</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>COVID-19, coronavirus, infection, drug discovery, Drug repositioning</text>
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            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="16286">
                <text>DOI: 10.3390/ijms21082839</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="16287">
                <text>International Journal of Molecular Sciences</text>
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            </elementTextContainer>
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          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="16288">
                <text>MDPI AG</text>
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            </elementTextContainer>
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                <text>Biology (General), Chemistry</text>
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            <description>A language of the resource</description>
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              <elementText elementTextId="16290">
                <text>EN</text>
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              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
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              <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>
            <description>A name given to the resource</description>
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                <text>Development and validation of a questionnaire for assessing preventive practices and barriers among health care workers in COVID-19 pandemic.</text>
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            <name>Creator</name>
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              <elementText elementTextId="77713">
                <text>Ayush Agarwal, Piyush Ranjan, Yellamraju Saikaustubh, Priyanka Rohilla, Archana Kumari, Indrashekhar Prasad, Upendra Baitha, Sada Nand Dwivedi</text>
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            <description>An account of the resource</description>
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                <text>COVID-19 has affected thousands of health care workers worldwide. Suboptimal infection control practices have been identified as important risk factors. The objective of this study was to develop and validate a questionnaire to holistically assess the preventive practices of health care workers related to COVID-19 and identify the reasons for shortcomings therein. The development of the questionnaire involved item generation through literature review, focus group discussions and in-depth interviews with health care workers and experts, followed by validation through expert opinion, pilot testing and survey. A cross-sectional survey on 147 healthcare workers was done using an online platform and/or interviews in August 2020 in New Delhi, India. Exploratory factor analysis using principal component extraction with varimax rotation was performed to establish construct validity. Internal consistency of the tool was tested using Cronbach's alpha coefficient. The developed questionnaire consists of two sections: Section A contains 29 items rated on a five-point Likert scale to assess preventive practices and Section B contains 27 semi-structured items to assess reasons for suboptimal practices. The first section has good validity (CVR = 0.87, S-CVI/Av = 0.978) and internal consistency (Cronbach's alpha coefficient = 0.85) CONCLUSIONS: This questionnaire is a valid and reliable tool for holistic assessment of preventive practices and barriers to it among health care workers. It will be useful to identify vulnerable practices and sections in health care settings which would assist policymakers in designing appropriate interventions for infection prevention and control. This will also be useful in future pandemics of similar nature.</text>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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                <text>2021</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>Health Personnel, Surveys and questionnaires, Coronavirus infections / prevention &amp; control, Health knowledge, attitudes, practice∗, Pandemics / prevention &amp; control</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="77717">
                <text>10.1016/j.ijmmb.2021.03.006</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="77718">
                <text>Indian journal of medical microbiology</text>
              </elementText>
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  <item itemId="4784" public="1" featured="0">
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              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
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              <name>Description</name>
              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Urban Resilience Assessment: Mapping Knowledge Structure and Trends</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="43162">
                <text>Ayyoob Sharifi</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="43163">
                <text>The literature on urban resilience assessment has grown rapidly over the past two decades. This paper aims to provide a better understanding of the state of knowledge on urban resilience assessment through mapping the knowledge domain and highlighting emerging trends during different periods. The objects of study were 420 papers published in the Web of Science from 1998 to 2020. Science mapping was done using VOSviewer and CiteSpace, two widely known software tools for bibliometrics analysis and scientometric visualization. The results show that research published on urban resilience assessment was very limited and fragmented until 2009, and the focus has mainly been on risk mitigation and vulnerability assessment. The intellectual base grew between 2010 and 2014, when a paradigm shift from approaches based on robustness and reliability toward more adaptation-oriented approaches occurred. Finally, the annual publication trends have grown rapidly over the past five years and there has been more emphasis on climate change adaptation and flood resilience. Overall, in terms of dimensional focus, more attention has been paid to infrastructural, institutional, and environmental aspects at the expense of social and economic dimensions. In addition to information on thematic focus and evolution, this paper also provides other bibliometrics information on the influential authors, institutions, journals, and publications that lay the foundation of the field and can be used by various interested groups as points of reference to gain better knowledge about the structure and thematic evolution of urban resilience assessment. The paper concludes by highlighting gaps and making some recommendations for future improvement of the field. Major gaps are related to assessing resilience against socio-economic and health risks (e.g., economic recession and pandemics such as COVID-19).</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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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="43165">
                <text>earthquake, critical infrastructure, flooding, bibliometrics analysis, science mapping, urban resilience assessment</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="43166">
                <text>10.3390/su12155918</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="43167">
                <text>Biotemas</text>
              </elementText>
            </elementTextContainer>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="43168">
                <text>Universidade Federal de Santa Catarina</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>
            <elementTextContainer>
              <elementText elementTextId="43169">
                <text>Environmental effects of industries and plants, Renewable energy sources, Environmental sciences</text>
              </elementText>
            </elementTextContainer>
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  <item itemId="10429" public="1" featured="0">
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        <src>https://www.socictopen.socict.org/files/original/0074e75ba81468803581eff9924b26a5.pdf</src>
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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>
              <elementTextContainer>
                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
                </elementText>
              </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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    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="87024">
                <text>Predicting the Fit between the Respirator and Face based on facial anthropometric dimensions using neural-fuzzy method (used in crises)</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="87025">
                <text>Azade Tahernejad, Reza Mostafavi, Somaye Tahernejad, Matin Rostami</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="87026">
                <text>Objective: The occurrence of crises such as the outbreak of the new coronavirus (COVID-19) showed that the availability of a mask that fits the face is of great importance for individuals. The present study was performed to design a tool to assess the facial fitness of the mask based on face dimensions. Methods: A hybrid method is introduced which consists of modeling of a fuzzy system using a neural network, so that with only one-time training of this neuro-fuzzy system, ANFIS, it is possible to easily determine the fit of N95 respiratory mask only by applying the anthropometric dimensions of the face. Six anthropometric dimensions of the face were assigned as the inputs and respiratory mask fitness was assigned as the output of the ANFIS model. Results: The proposed neuro-fuzzy system, ANFIS, is designed in such a way that by specifying the input parameters for each individual, the fitness of the mask to the face can be predicted. Conclusion: According to the results of the probability predicted by the neuro-fuzzy system, using the data of the six dimensions of the face, in about 75 percent of the cases the fitness of the mask to the face of individuals can be predicted accurately; therefore, the designed ANFIS network can be used instead of the fitness test to predict the fitness of the respiratory mask to the face using the anthropometric data of the face of the individuals only when it is not possible to perform the fit testing.</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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            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="87028">
                <text>mask, ANFIS, fit test, Anthropometric dimensions</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="87029">
                <text>10.30476/jhsss.2020.87695.1121</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="87030">
                <text>Journal of Health Sciences and Surveillance System</text>
              </elementText>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="87031">
                <text>Shiraz University of Medical Sciences</text>
              </elementText>
            </elementTextContainer>
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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>
            <elementTextContainer>
              <elementText elementTextId="87032">
                <text>Public aspects of medicine</text>
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            </elementTextContainer>
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  <item itemId="6158" public="1" featured="0">
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
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                <elementText elementTextId="1">
                  <text>Coronavirus</text>
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              </elementTextContainer>
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            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
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                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
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      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
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        <name>Dublin Core</name>
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          <element elementId="50">
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            <description>A name given to the resource</description>
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                <text>COVID-19: insights into virus–receptor interactions</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="54829">
                <text>Azadeh Sepahvandi, Maryam Ghaffari, Amir Hossein Bahmanpour, Fathollah Moztarzadeh, Payam Zarrintaj, Hasan Uludağ, Masoud Mozafari</text>
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            <description>An account of the resource</description>
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              <elementText elementTextId="54830">
                <text>Abstract The recent outbreak of Coronavirus Disease 2019 (COVID-19) calls for rapid mobilization of scientists to probe and explore solutions to this deadly disease. A limited understanding of the high transmissibility of SARS-CoV-2 (Severe acute respiratory syndrome coronavirus 2) relative to other coronavirus strains guides a deeper investigation into the virus/receptor interactions. The cutting-edge studies in thermodynamic and kinetic properties of interactions such as protein-protein interplays have been reviewed in many modeling and analysis studies. Highlighting the thermodynamic assessments of biological interactions and emphasizing the boosted transmissibility of SARS-CoV-2 despite its high similarity in structure and sequence with other coronavirus strains is an important and highly valuable investigation that can lead scientists to discover analytical and fundamental approaches in studying virus’s interactions. Accordingly, we have attempted to describe the crucial factors such as conformational changes and hydrophobicity particularities that influence on thermodynamic potentials in the SARS-COV-2 S-protein adsorption process. Discussing the thermodynamic potentials and the kinetics of the SARS-CoV-2 S-protein in its interaction with the ACE2 receptors of the host cell is a fundamental approach that would be extremely valuable in designing candidate pharmaceutical agents or exploring alternative treatments.</text>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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                <text>2021</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>coronavirus, covid-19, SARS-CoV-2, ACE2, thermodynamics, virus-cell interactions</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="54833">
                <text>10.1186/s43556-021-00033-4</text>
              </elementText>
            </elementTextContainer>
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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="54834">
                <text>Epidemiology and Health</text>
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            <name>Publisher</name>
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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>Medicine</text>
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        <src>https://www.socictopen.socict.org/files/original/5652f36b11991716733fe51580598fc3.pdf</src>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
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              <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">
            <name>Title</name>
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                <text>Demographic Characteristics, Clinical Symptoms, and Radiological Features in Patients With COVID-19 in Iran</text>
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            <name>Creator</name>
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                <text>Azam Moslemi, Abdollah Abolfathi, Fatemeh Mehrabi, Ashkan Lotfi Sheikhani, Gholam Reza Mirzaei, Ruhollah Sohrabi</text>
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                <text>Background: Considering the new Coronavirus outbreak and limited data about this pandemic in Iran, this study aimed at assessing the demographic characteristics, clinical symptoms, paraclinical findings, and radiological features of hospitalized patients with COVID-19 according to their hospital records.  Methods: In this descriptive-cross-sectional study, the required data were collected from the Health Information System (HIS) and the records of the patients who had been hospitalized following positive COVID-19 Polymerase Chain Reaction (PCR) and lung Computed Tomography (CT) scans, in some hospitals of Markazi Province, Iran from February 20, 2020, to April 20, 2020. The selected hospitals were affiliated with the Iranian Social Security Organization. Clinical follow-up was continued until April 26, 2020. During this period, 260 records were assessed. The collected data included demographic characteristics, clinical symptoms, as well as the paraclinical findings and radiological features of the patients. The obtained data were analyzed by SPSS.  Results: Among 260 confirmed cases of COVID-19, 161 (61.9%) cases were men and 99 (38.1%) were women. The Mean±SD age of the explored patients was 58.78±16.44 years. Besides, 221 (85%) patients were hospitalized in the general ward and 39 (15%) cases in the Intensive Care Unit (ICU). Hypertension and diabetes were the most prevalent medical histories (comorbidities). Fever, fatigue, cough, anorexia, myalgia, dyspnea, oliguria, taste impairment, and smell deficiency were the most frequent clinical symptoms. Neutrophilia, lymphopenia, low blood glucose level, and increased BUN, ALP, CRP, and ESR were among the critical laboratory findings. Almost 30% of the studied patients presented acidosis in arterial blood gases analysis and 55% had normal blood gasses. Decreased PaO2 was observed in 80% of the investigated patients. Most of the patients had received oxygen therapy, lopinavir, and hydroxychloroquine. Additionally, 11.2% of the patients were under invasive mechanical ventilators. Concerning the lung CT scan, 42.7% of the patients had ≥5 involved lobes. In terms of density, 51.9% of the subjects had mixed opacity. Most lung damages (41.5%) were in the central part of the lungs. In 55.8% of cases, these damages were patchy lesions, and 40% had an air-bronchogram. According to the Chi-squared test data, there was a significant relationship between the location of the lesions and the patient’s need for suction (P</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>covid-19, Symptoms, Signs, Diagnostic Imaging, medical history, clinical chemistry test</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="59370">
                <text>Journal of Client-centered Nursing Care</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="59371">
                <text>Iran University of Medical Sciences</text>
              </elementText>
            </elementTextContainer>
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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="59372">
                <text>Nursing</text>
              </elementText>
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          </element>
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