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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Sentiment Analysis and Emotion Understanding during the COVID-19 Pandemic in Spain and Its Impact on Digital Ecosystems</text>
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                <text>Carlos de las Heras-Pedrosa, Pablo Sánchez-Núñez, José  Ignacio Peláez</text>
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                <text>COVID-19 has changed our lives forever. The world we knew until now has been transformed and nowadays we live in a completely new scenario in a perpetual restructuring transition, in which the way we live, relate, and communicate with others has been altered permanently. Within this context, risk communication is playing a decisive role when informing, transmitting, and channeling the flow of information in society. COVID-19 has posed a real pandemic risk management challenge in terms of impact, preparedness, response, and mitigation by governments, health organizations, non-governmental organizations (NGOs), mass media, and stakeholders. In this study, we monitored the digital ecosystems during March and April 2020, and we obtained a sample of 106,261 communications through the analysis of APIs and Web Scraping techniques. This study examines how social media has affected risk communication in uncertain contexts and its impact on the emotions and sentiments derived from the semantic analysis in Spanish society during the COVID-19 pandemic.</text>
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                <text>coronavirus, Public health, covid-19, SARS-CoV-2, health communication, Sentiment analysis</text>
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                <text>10.3390/ijerph17155542</text>
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                <text>Epidemiology and Health</text>
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                <text>Korean Society of Epidemiology</text>
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                <text>Medicine</text>
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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>SENTIMENTAL HERDING: THE ROLE OF COVID-19 CRISIS IN THE EGYPTIAN STOCK MARKET</text>
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                <text>Mostafa Hussein Abd-Alla</text>
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                <text>This study aims to investigate the existence of herding behaviour during COVID-19 crisis in the Egyptian stock market by using firm-level data and employing different testing methodologies. The study also investigates the existence of herding behaviour during COVID-19 crisis at the level of portfolios divided based on the size and the value factors. The study used the nonlinear model proposed by Chang, Cheng and Khorana (2000) and the state-space model developed by Hwang and Salmon (2004) to measure herding behaviour. The study found that the nonlinear model proposed by Chang et al. (2000) lead to results indicating evidence of herding during COVID-19 crisis. However, there was no evidence of herding behaviour during COVID-19 crisis when using the state-space model developed by Hwang and Salmon (2004). As for the level of portfolios, the study found evidence of herding during COVID-19 crisis only when using (Chang et al., 2000) methodology, at the level of the portfolio of stocks with low and high (B/M) ratio and the portfolio of big stocks only during COVID-19 crisis.</text>
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                <text>2021</text>
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                <text>Covid-19 crisis, state-space model, Nonlinear Model, Egyptian stock market, herding behaviour</text>
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            <name>Identifier</name>
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                <text>10.12775/CJFA.2020.009</text>
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                <text>Copernican Journal of Finance &amp; Accounting</text>
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                <text>Nicolaus Copernicus University in Toruń</text>
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                <text>Business, Social Sciences</text>
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              <name>Title</name>
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                  <text>Coronavirus</text>
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              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Sentimento de angústia e isolamento social de universitários da área da saúde durante a pandemia da COVID-19</text>
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                <text>Ana Paula Vasconcellos Abdon, Cristina de Santiago Viana Falcão, Ygor Raphael Gomes Eloy, Aline Barbosa Teixeira Martins, Álvaro Magalhães Cavalcante Pereira, Jannayna Queiroz Carvalho, Jihane de Lima Diogo</text>
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            <description>An account of the resource</description>
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                <text>Objetivo: Identificar a prevalência do sentimento de angústia autorreferido e seus fatores relacionados, bem como a adesão ao isolamento social de universitários da área da saúde durante a pandemia da COVID-19. Métodos: Trata-se de um estudo transversal, desenvolvido em uma universidade privada e filantrópica, localizada no município de Fortaleza, Ceará, Brasil, com coleta de dados em junho 2020. Participaram 541 universitários (&gt; 18 anos) da área da saúde, que responderam um formulário eletrônico para coletar as variáveis demográficas relacionadas à pandemia da COVID-19, sentimentos de angústia e preocupação. Realizaram-se análises bivariada e multivariada para avaliar as relações com o desfecho sentimento de angústia. Resultados: Do total dos universitários, 89,5% (n=489) disseram estar angustiados, 90,4% (n=489) eram favoráveis ao isolamento social e 93,5% (n=503) aderiram ao isolamento social como combate à COVID 19. Na análise multivariada, o sentimento de angústia relatado pelos universitários apresentou relação com a preocupação com o mundo (OR=4,099; p=0,000). Conclusão: O sentimento de angústia apresentado pelos universitários esteve relacionado ao sentimento de preocupação com o mundo e a serem predominantemente favoráveis ao isolamento social, e, por isso, aderiram a essa medida de enfrentamento do novo coronavírus.</text>
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                <text>2020</text>
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                <text>infecções por coronavírus, Isolamento social, emoções, estudantes de Ciências da Saúde</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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                <text>10.5020/18061230.2020.11444</text>
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                <text>Revista Brasileira em Promoção da Saúde</text>
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                <text>Universidade de Fortaleza</text>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Public aspects of medicine, Medicine (General)</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Sentinel cells enable genetic detection of SARS-CoV-2 Spike protein.</text>
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                <text>Devan Diwanji, Melanie Ott, Kaitlin Schaefer, Zara Y Weinberg, Claire E Hilburger, Matthew Kim, Longxing Cao, Mir Khalid, Sarah Elmes, Evelyn Hernandez, Jocelyne Lopez, Amber M Smith, Fengbo Zhou, G Renuka Kumar, David Baker, Hana El-Samad</text>
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                <text>The COVID-19 pandemic has demonstrated the need for exploring different diagnostic and therapeutic modalities to tackle future viral threats. In this vein, we propose the idea of sentinel cells, cellular biosensors capable of detecting viral antigens and responding to them with customizable responses. Using SARS-CoV-2 as a test case, we developed a live cell sensor (SARSNotch) using a de novo-designed protein binder against the SARS-CoV-2 Spike protein. SARSNotch is capable of driving custom genetically-encoded payloads in immortalized cell lines or in primary T lymphocytes in response to purified SARS-CoV-2 Spike or in the presence of Spike-expressing cells. Furthermore, SARSNotch is functional in a cellular system used in directed evolution platforms for development of better binders or therapeutics. In keeping with the rapid dissemination of scientific knowledge that has characterized the incredible scientific response to the ongoing pandemic, we extend an open invitation for others to make use of and improve SARSNotch sentinel cells in the hopes of unlocking the potential of the next generation of smart antiviral therapeutics.</text>
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                <text>2021</text>
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                <text>10.1101/2021.04.20.440678</text>
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                <text>bioRxiv : the preprint server for biology</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Sentinel Lymph Node Mapping and Biopsy in Breast Cancer Patients During the COVID-19 Pandemic.</text>
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                <text>Daniela Cocco, Stephanie A Valente</text>
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                <text>Annals of surgical oncology</text>
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                <text>Sentir as palavras, criar trincheiras: mulheres em defesa da Red de la Vida</text>
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            <name>Creator</name>
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                <text>Luiza Dias Flores, Damiana Bregalda Jaenisch</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Manifesto EcoFeminista.</text>
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            <name>Date</name>
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                <text>2018</text>
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                <text>Antropologia, Feminismo, ecología</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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                <text>10.5380/cra.v19i1.62948</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="227428">
                <text>Campos</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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                <text>Universidade Federal do Paraná</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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                <text>Social history and conditions. Social problems. Social reform</text>
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            <name>Relation</name>
            <description>A related resource</description>
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                <text>&lt;a href="https://revistas.ufpr.br/campos/article/view/62948" target="_blank" rel="noreferrer noopener"&gt;https://revistas.ufpr.br/campos/article/view/62948&lt;/a&gt;</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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        <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>
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                <text>Separating the wheat from the chaff—COVID-19 in a German emergency department: a case-control study</text>
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            <name>Creator</name>
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              <elementText elementTextId="49469">
                <text>Joachim Risse, Dirk Pabst, Clemens Kill, David Fistera, Annalena Härtl, Benedikt Michael Schaarschmidt, Lale Umutlu, Sebastian Dolff, Carola Holzner</text>
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                <text>Abstract Background COVID-19 pandemia is a major challenge to worldwide health care systems. Whereas the majority of disease presents with mild symptoms that can be treated as outpatients, severely ill COVID-19 patients and patients presenting with similar symptoms cross their ways in the emergency department. Especially, the variety of symptoms is challenging with primary triage. Are there parameters to distinguish between proven COVID-19 and without before? How can a safe and efficient management of these inpatients be achieved? Methods We conducted a retrospective analysis of 314 consecutive inpatient patients who presented with possible symptoms of COVID-19 in a German emergency department between March and April 2020 and were tested with a SARS-Cov-2 nasopharyngeal swab. Clinical parameters, Manchester Triage System categories, and lab results were compared between patients with positive and negative test results for SARS-Cov-2. Furthermore, we present the existing COVID-19 workflow model of the university hospital in Essen which proved to be efficient during pandemia. Results Forty-three of the 314 patients (13.7%) were tested positive for COVID-19 by SARS-Cov-2 nasopharyngeal swab. We did not find any laboratory parameter to distinguish safely between patients with COVID-19 and those with similar symptoms. Dysgeusia was the only clinical symptom that was significantly more frequent among COVID-19 patients. Conclusion Dysgeusia seems to be a typical symptom for COVID-19, which occurred in 14% of our COVID-19 patients. However, no valid parameters could be found to distinguish clinically between COVID-19 and other diseases with similar symptoms. Therefore, early testing, a strict isolation policy, and proper personal protection are crucial to maintain workflow and safety of patients and ED staff for the months to come. Trial registration German Clinical Trials registry, DRKS00021675</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, SARS-CoV-2, Triage, emergency department, clinical symptoms</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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                <text>10.1186/s12245-020-00302-z</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="49474">
                <text>International Journal of Emergency Medicine</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="49475">
                <text>BMC</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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                <text>Medical emergencies. Critical care. Intensive care. First aid</text>
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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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                <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>
        <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>
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                <text>Sequence Analysis of Feline Coronaviruses and the Circulating Virulent/Avirulent Theory</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="28060">
                <text>Hui-Wen Chang, Peter J.M. Rottier, Herman  F. Egberink</text>
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            <name>Date</name>
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                <text>2011</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="28062">
                <text>Viruses, coronaviruses, Sequence analysis, M protein, Feline coronavirus, FIP</text>
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            <name>Identifier</name>
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              <elementText elementTextId="28063">
                <text>DOI: 10.3201/eid1704.102027</text>
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            <description>A related resource from which the described resource is derived</description>
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                <text>Emerging Infectious Diseases</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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                <text>Centers for Disease Control and Prevention</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>
            <elementTextContainer>
              <elementText elementTextId="28066">
                <text>Infectious and parasitic diseases, Medicine</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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                <text>Sequence characteristics define trade-offs between on-target and genome-wide off-target hybridization of oligoprobes.</text>
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              <elementText elementTextId="2695">
                <text>Olga V Matveeva, Aleksey Y Ogurtsov, Nafisa N Nazipova, Svetlana A Shabalina</text>
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                <text>Off-target oligoprobe's interaction with partially complementary nucleotide sequences represents a problem for many bio-techniques. The goal of the study was to identify oligoprobe sequence characteristics that control the ratio between on-target and off-target hybridization. To understand the complex interplay between specific and genome-wide off-target (cross-hybridization) signals, we analyzed a database derived from genomic comparison hybridization experiments performed with an Affymetrix tiling array. The database included two types of probes with signals derived from (i) a combination of specific signal and cross-hybridization and (ii) genomic cross-hybridization only. All probes from the database were grouped into bins according to their sequence characteristics, where both hybridization signals were averaged separately. For selection of specific probes, we analyzed the following sequence characteristics: vulnerability to self-folding, nucleotide composition bias, numbers of G nucleotides and GGG-blocks, and occurrence of probe's k-mers in the human genome. Increases in bin ranges for these characteristics are simultaneously accompanied by a decrease in hybridization specificity-the ratio between specific and cross-hybridization signals. However, both averaged hybridization signals exhibit growing trends along with an increase of probes' binding energy, where the hybridization specific signal increases significantly faster in comparison to the cross-hybridization. The same trend is evident for the S function, which serves as a combined evaluation of probe binding energy and occurrence of probe's k-mers in the genome. Application of S allows extracting a larger number of specific probes, as compared to using only binding energy. Thus, we showed that high values of specific and cross-hybridization signals are not mutually exclusive for probes with high values of binding energy and S. In this study, the application of a new set of sequence characteristics allows detection of probes that are highly specific to their targets for array design and other bio-techniques that require selection of specific probes.</text>
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                <text>2018</text>
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                <text>DOI: 10.1371/journal.pone.0199162</text>
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              <elementText elementTextId="2699">
                <text>PLoS ONE</text>
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                <text>Public Library of Science (PLoS)</text>
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                <text>Science, Medicine</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Sequence homology between HLA-bound cytomegalovirus and human peptides: A potential trigger for alloreactivity.</text>
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                <text>Charles E. Hall, Vishal N Koparde, Maximilian Jameson-Lee, Abdelrhman G Elnasseh, Allison F Scalora, David J Kobulnicky, Myrna G Serrano, Catherine H Roberts, Gregory A. Buck, Michael C Neale, Daniel E Nixon, Amir A Toor</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="3737">
                <text>Human cytomegalovirus (hCMV) reactivation may often coincide with the development of graft-versus-host-disease (GVHD) in stem cell transplantation (SCT). Seventy seven SCT donor-recipient pairs (DRP) (HLA matched unrelated donor (MUD), n = 50; matched related donor (MRD), n = 27) underwent whole exome sequencing to identify single nucleotide polymorphisms (SNPs) generating alloreactive peptide libraries for each DRP (9-mer peptide-HLA complexes); Human CMV CROSS (Cross-Reactive Open Source Sequence) database was compiled from NCBI; HLA class I binding affinity for each DRPs HLA was calculated by NetMHCpan 2.8 and hCMV- derived 9-mers algorithmically compared to the alloreactive peptide-HLA complex libraries. Short consecutive (≥6) amino acid (AA) sequence homology matching hCMV to recipient peptides was considered for HLA-bound-peptide (IC50</text>
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          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="3738">
                <text>2017</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="3739">
                <text>DOI: 10.1371/journal.pone.0178763</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="3740">
                <text>PLoS ONE</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="3741">
                <text>Public Library of Science (PLoS)</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="38">
            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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              <elementText elementTextId="3742">
                <text>Science, Medicine</text>
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            </elementTextContainer>
          </element>
          <element elementId="44">
            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="3743">
                <text>EN</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
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