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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Non-esterified fatty acids generate distinct low-molecular weight amyloid-β (Aβ42) oligomers along pathway different from fibril formation.</text>
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                <text>Amit Kumar, Rebekah L Bullard, Pritesh Patel, Lea C Paslay, Dipti Singh, Ewa A. Bienkiewicz, Sarah E. Morgan, Vijayaraghavan Rangachari</text>
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                <text>Amyloid-β (Aβ) peptide aggregation is known to play a central role in the etiology of Alzheimer's disease (AD). Among various aggregates, low-molecular weight soluble oligomers of Aβ are increasingly believed to be the primary neurotoxic agents responsible for memory impairment. Anionic interfaces are known to influence the Aβ aggregation process significantly. Here, we report the effects of interfaces formed by medium-chain (C9-C12), saturated non-esterified fatty acids (NEFAs) on Aβ42 aggregation. NEFAs uniquely affected Aβ42 aggregation rates that depended on both the ratio of Aβ:NEFA as well the critical micelle concentration (CMC) of the NEFAs. More importantly, irrespective of the kind of NEFA used, we observed that two distinct oligomers, 12-18 mers and 4-5 mers were formed via different pathway of aggregation under specific experimental conditions: (i) 12-18 mers were generated near the CMC in which NEFAs augment the rate of Aβ42 aggregation towards fibril formation, and, (ii) 4-5 mers were formed above the CMC, where NEFAs inhibit fibril formation. The data indicated that both 12-18 mers and 4-5 mers are formed along an alternate pathway called 'off-pathway' that did not result in fibril formation and yet have subtle structural and morphological differences that distinguish their bulk molecular behavior. These observations, (i) reflect the possible mechanism of Aβ aggregation in physiological lipid-rich environments, and (ii) reiterate the fact that all oligomeric forms of Aβ need not be obligatory intermediates of the fibril formation pathway.</text>
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                <text>2011</text>
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                <text>DOI: 10.1371/journal.pone.0018759</text>
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                <text>PLoS ONE</text>
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                <text>Public Library of Science (PLoS)</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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      <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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            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Sleepless in COVID-19: how not to lose sleep in lockdowns</text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Amit Kumar, Rohit Kumar, Pranav Ish, Nitesh Gupta, Shibdas Chakrabarti, Siddharth Raj Yadav</text>
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            <description>An account of the resource</description>
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                <text>The corona virus disease 2019 (COVID-19) outbreak started in December 2019 in Wuhan, China, and spread all over the world leading to declaration of a pandemic by World Health Organization (WHO) on 11th March 2020. Most countries around the world have been on lockdown in an effort to halt the spread of virus. Most countries around the world have enforced lockdown in an effort to halt the spread of virus. People around the world have been pushed into uncharted waters of uncertainty, fear, anxiety, stress and depression due to economic crash down, job losses and fear for their own health and that of their loved ones. There is a known association between anxiety/stress and sleep disturbances and vice versa. The most vulnerable population in this isolation like condition, in this lockdown, are the chief earning member of the family, women, young ones, and people with psychiatric illness.</text>
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                <text>2020</text>
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                <text>Sleep, sleep disturbance, insomnia, COVID-19</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: 10.4081/monaldi.2020.1364</text>
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                <text>Monaldi Archives for Chest Disease</text>
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            <description>An entity responsible for making the resource available</description>
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                <text>PAGEPress Publications</text>
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            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Medicine</text>
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              <description>A name given to the resource</description>
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              <name>Description</name>
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                  <text>Dominio científico: Coronavirus</text>
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      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
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        <name>Dublin Core</name>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Laboratory preparedness for SARS-CoV-2 testing in India: Harnessing a network of Virus Research &amp; Diagnostic Laboratories</text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Amita Jain, Ashok Munivenkatappa, Neeraj Aggarwal, Bharti Malhotra, Aashish Choudhary, Raman R. Gangakhedkar, A P Sugunan, Varsha Potdar, Pragya Yadav, Parul Jain, Sidhartha Giri, Sivasubramanian Srinivasan, Himanshu Sharma, Jayanthi Shastri, Lalit Dar, Anukumar Balakrishnan, Gajanan Sapkal, Ira Praharaj, Ajanta Sharma, Nivedita Gupta, Hasina Banu, Shanta Dutta, Priya Abraham, Disha Patel, Harmanmeet Kaur, R Ambica, G B Shantala, Neetu Vijay, Manish Pathak, Krishnasamy Kaveri, Gitika Rajbongshi, Manohar Lal Choudhary, Kammilli Nagamani, Sharmila Raut, M M Vegad, Megha Brijwal, Jayaswamy Manjunatha, Pakalpati Sunita, Babita Fageria, Jitendra Narayan, Anu Nagar</text>
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            <description>An account of the resource</description>
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              <elementText elementTextId="26044">
                <text>Background &amp; objectives: An outbreak of respiratory illness of unknown aetiology was reported from Hubei province of Wuhan, People's Republic of China, in December 2019. The outbreak was attributed to a novel coronavirus (CoV), named as severe acute respiratory syndrome (SARS)-CoV-2 and the disease as COVID-19. Within one month, cases were reported from 25 countries. In view of the novel viral strain with reported high morbidity, establishing early countrywide diagnosis to detect imported cases became critical. Here we describe the role of a countrywide network of VRDLs in early diagnosis of COVID-19.  Methods: The Indian Council of Medical Research (ICMR)-National Institute of Virology (NIV), Pune, established screening as well as confirmatory assays for SARS-CoV-2. A total of 13 VRDLs were provided with the E gene screening real-time reverse transcription-polymerase chain reaction (rRT-PCR) assay. VRDLs were selected on the basis of their presence near an international airport/seaport and their past performance. The case definition for testing included all individuals with travel history to Wuhan and symptomatic individuals with travel history to other parts of China. This was later expanded to include symptomatic individuals returning from Singapore, Japan, Hong Kong, Thailand and South Korea. Results: Within a week of standardization of the test at NIV, all VRDLs could initiate testing for SARS-CoV-2. Till February 29, 2020, a total of 2,913 samples were tested. This included both 654 individuals quarantined in the two camps and others fitting within the case definition. The quarantined individuals were tested twice - at days 0 and 14. All tested negative on both occasions. Only three individuals belonging to different districts in Kerala were found to be positive. Interpretation &amp; conclusions: Sudden emergence of SARS-CoV-2 and its potential to cause a pandemic posed an unsurmountable challenge to the public health system of India. However, concerted efforts of various arms of the Government of India resulted in a well-coordinated action at each level. India has successfully demonstrated its ability to establish quick diagnosis of SARS-CoV-2 at NIV, Pune, and the testing VRDLs.</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>2020</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>covid-19 - diagnosis - preparedness - quality control - quarantine - severe acute respiratory syndrome-cov-2 - virus research and diagnostic laboratory</text>
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            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="26047">
                <text>DOI: 10.4103/ijmr.IJMR_594_20</text>
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            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="26048">
                <text>Indian Journal of Medical Research</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="26049">
                <text>Wolters Kluwer Medknow Publications</text>
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            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Medicine</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Genomic analysis of SARS-CoV-2 strains among Indians returning from Italy, Iran &amp; China, &amp; Italian tourists in India</text>
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                <text>Amita Jain, Raman R. Gangakhedkar, Varsha Potdar, Pragya D Yadav, Sidhartha Giri, Lalit Dar, Atanu Basu, Gajanan Sapkal, Nivedita Gupta, Priya Abraham, Sarah S Cherian, Gururaj Rao Deshpande, Sreelekshmy Mohandas, Anita Shete-Aich, Triparna Majumdar, Savita Patil, Veena Vipat, Manohar Lal Choudhary, Bharati Malhotra, Sheetal Jadhav, Padinjaremattathil Thankappan Ullas, Hitesh Dighe, Rohan Gughe, Dimpal Nyayanit, Atul Walimbe, Shivshankar Gaikwad, Deepika Chowdhury, NIC Team</text>
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                <text>2020</text>
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                <text>DOI: 10.4103/ijmr.IJMR_1058_20</text>
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            <description>A related resource from which the described resource is derived</description>
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                <text>Indian Journal of Medical Research</text>
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                <text>Wolters Kluwer Medknow Publications</text>
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                <text>First isolation of SARS-CoV-2 from clinical samples in India</text>
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                <text>Amita Jain, Varsha Potdar, Pragya D Yadav, Sidhartha Giri, Lalit Dar, Atanu Basu, Gajanan Sapkal, Ira Praharaj, Nivedita Gupta, Priya Abraham, Rajen Lakra, Prasad Sarkale, Dimpal A. Nyayanit, Sarah S Cherian, Anita Shete-Aich, Savita Patil, Shrikant Baradkar, Sharda Prasad, Veena Vipat, Manohar Lal Choudhary, Bharati Malhotra, Pranita Gawande, Kaumudi Kalele</text>
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                <text>DOI: 10.4103/ijmr.IJMR_1029_20</text>
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                <text>Indian Journal of Medical Research</text>
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                <text>Wolters Kluwer Medknow Publications</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Demographic and Clinical Profile of Mortality Cases of COVID-19 in Children in New Delhi.</text>
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                <text>Amitabh Singh, Isha Saini, Satish Kumar Meena, Rani Gera</text>
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                <text>10.1007/s12098-021-03687-8</text>
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            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="75485">
                <text>Indian journal of pediatrics</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>
      <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="85553">
                <text>E-Learning Critical Success Factors during the COVID-19 Pandemic: A Comprehensive Analysis of E-Learning Managerial Perspectives</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="85554">
                <text>Ammar  Y. Alqahtani, Albraa  A. Rajkhan</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="85555">
                <text>During the COVID-19 pandemic, educational institutions were shut down all over the world, which impacted over 60% of students and caused a massive disruption of the education system. The goal of this paper was to identify the critical success factors for E-learning during COVID-19 using the multi-criteria Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) techniques to enhance the educational process. Data were generated by interviewing 69 E-learning managers in educational institutions during COVID-19 based on defined evaluation criteria and E-learning approaches through several channels. We found that technology management, support from management, increased student awareness to use E-learning systems, and demanding a high level of information technology from instructors, students, and universities were the most influential factors for E-learning during COVID-19. Among the five learning systems, blended learning was the most suitable learning system to practice. These results demonstrated that, regardless of how extraordinary the technology is in an educational institution, the readiness of E-learning execution played a large role in boosting the educational process during the COVID-19 pandemic.</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="85556">
                <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="85557">
                <text>e-learning, distance learning, COVID-19 coronavirus pandemic, Critical Success Factors, AHP-TOPSIS</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>
            <elementTextContainer>
              <elementText elementTextId="85558">
                <text>10.3390/educsci10090216</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="85559">
                <text>Epidemiology and Health</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="85560">
                <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="85561">
                <text>Education</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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              <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>
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    <itemType itemTypeId="1">
      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
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    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="66965">
                <text>Spectrum of CT appearance and CT severity index of COVID-19 pulmonary infection in correlation with age, sex, and PCR test: an Iraqi experience</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="66966">
                <text>Ammar Mosa Al-Mosawe, Hiba mohammed Abdulwahid, Noor Abbas Hummadi Fayadh</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="66967">
                <text>Abstract Background Since June 2020, an explosion in number of new COVID-19 patients has been reported in Iraq with a steady increment in new daily reported cases over the next 3 months. The limited number of PCR kits in the country and the increment in the number of new COVID-19 cases makes the role of CT scan examinations rising and becoming essential in aiding the health institutions in diagnosing and isolating infected patients and those in close contacts. This study will review the spectrum of CT pulmonary changes due to COVID-19 infection and estimate the CT severity score index and its relation to age, sex, and PCR test results. Results The ground glass opacities were the most common encountered pattern of pulmonary changes and were seen in (79%). There was strong positive correlation between higher CT severity score and male gender (p value = 0.0002, R 2 = 0.9). Also, there was significant correlation of CT severity score and increasing age (p value less than 0.00018). Significant correlation was seen between CT scan percentage of lung involvement and positive PCR test results (p value = 0.001917), as the CT severity index is increasing, the PCR test is more likely to be positive. Conclusions Chest CT is an important and fast imaging tool for the diagnosis of COVID-19-infected patients especially in developing countries. In addition, chest CT can predict the disease severity by showing the percentage of lung involvement and hence give an idea about the prognosis of the disease. Higher CT severity score is significantly correlated with male gender, older age group patients and likely positive PCR test.</text>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="66968">
                <text>2021</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="66969">
                <text>PCR, covid-19, Chest CT, CT severity score index</text>
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            </elementTextContainer>
          </element>
          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="66970">
                <text>10.1186/s43055-021-00422-3</text>
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          </element>
          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="66971">
                <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="66972">
                <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>
            <elementTextContainer>
              <elementText elementTextId="66973">
                <text>Medical physics. Medical radiology. Nuclear medicine</text>
              </elementText>
            </elementTextContainer>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
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                <elementText elementTextId="1">
                  <text>Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
              <elementTextContainer>
                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
          </elementContainer>
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      </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>
            <elementTextContainer>
              <elementText elementTextId="17084">
                <text>Modeling Impact of Word of Mouth and E-Government on Online Social Presence during COVID-19 Outbreak: A Multi-Mediation Approach</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="17085">
                <text>Ammar Yasir, Xiaojian Hu, Munir Ahmad, Abdul Rauf, Jingwen Shi, Saba Ali Nasir</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="17086">
                <text>Although social presence plays an essential role under general conditions, its role becomes significant for societal protection during the quarantine period in epidemic outbreak. In this study, we attempted to identify the role of E-government and COVID-19 word of mouth in terms of their direct impact on online social presence during the outbreak as well as their impacts mediated by epidemic protection and attitudes toward epidemic outbreaks. For this purpose, a unique multi-mediation model is proposed to provide a new direction for research in the field of epidemic outbreaks and their control. Through random sampling, an online survey was conducted and data from 683participants were analyzed. Partial least squares structural equation modeling was used to test the relationships between the variables of interest. The study results revealed that the roles of E-government and COVID-19 word of mouth are positively related to online social presence during the outbreak. Epidemic protection and attitude toward epidemic outbreak were found to positively moderate the impact of the role of E-government and COVID-19 word of mouth on online social presence during the outbreak. The key findings of this study have both practical and academic implications.</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>
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              <elementText elementTextId="17088">
                <text>2019-nCoV-WOM, Epidemic outbreak, quarantine, social presence theory, role of E-government, epidemic protection</text>
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            </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="17089">
                <text>DOI: 10.3390/ijerph17082954</text>
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            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="17090">
                <text>International Journal of Environmental Research and Public Health</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>Medicine</text>
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                <text>EN</text>
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                  <text>Coronavirus</text>
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              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Ammara Mushtaq, Farooq Kazi</text>
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                <text>10.1016/S1473-3099(20)30799-4</text>
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                <text>The Lancet. Infectious diseases</text>
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