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                <text>Factors Affecting Customer Satisfaction and Loyalty in Online Food Delivery Service during the COVID-19 Pandemic: Its Relation with Open Innovation</text>
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                <text>Yogi  Tri Prasetyo, Hans Tanto, Martinus Mariyanto, Christopher Hanjaya, Michael  Nayat Young, Satria  Fadil Persada, Bobby  Ardiansyah Miraja, Anak  Agung Ngurah Perwira Redi</text>
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                <text>Online food delivery service (OFDS) has been widely utilized during the new normal of the COVID-19 pandemic, especially in a developing country such as Indonesia. The purpose of this study was to determine factors influencing customer satisfaction and loyalty in OFDS during the new normal of the COVID-19 pandemic in Indonesia by utilizing the extended theory of planned behavior (TPB) approach. A total of 253 respondents voluntarily participated and answered 65 questions. Structural equation modeling (SEM) indicated that hedonic motivation (HM) was found to have the highest effect on customer satisfaction, followed by price (P), information quality (IQ), and promotion (PRO). Interestingly, this study found out that usability factors, such as navigational design (ND) and perceived ease of use (PEOU) were not significant to customer satisfaction and loyalty in OFDS during the new normal of COVID-19. This study can be the theoretical foundation that could be very beneficial for OFDS investors, IT engineers, and even academicians. Finally, this study can be applied and extended to determine factors influencing customer satisfaction and loyalty in OFDS during the new normal of COVID-19 in other countries.</text>
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                <text>Business, Management. Industrial management</text>
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                <text>Robin Vos, Saima Aslam, Daniel R Goldstein, Andrew E Gelman, Michelle M Kittleson, Cameron Wolfe, Lara Danziger-Isakov</text>
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                <text>We are entering 2021 with an expanding and effective COVID-19 vaccine armamentarium. Recent interim results from COVID-19 vaccine trials, including more than 80,000 participants worldwide, demonstrate remarkable efficacy and low rate of serious adverse events. Based on experience with other vaccines in transplant recipients and knowing the risk of severe COVID-19 in this population, we believe that COVID-19 vaccines provide potential benefit with minimal risk. We strongly support and encourage COVID-19 vaccination of our transplant recipients.</text>
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                <text>10.1016/j.healun.2020.12.009</text>
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                <text>The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation</text>
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                <text>Development of a hyperimmune equine serum therapy for COVID-19 in Argentina</text>
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                <text>Vanesa Zylberman, Santiago Sanguineti, Andrea V. Pontoriero, Sandra V. Higa, María L. Cerutti, Susana M. Morrone Seijo, Romina Pardo, Luciana Muñoz, María E. Acuña Intrieri, Vanina A. Alzogaray, Martín M. Avaro, Estefanía Benedetti, Paula M. Berguer, Laura Bocanera, Lucas Bukata, Marina S. Bustelo, Ana M. Campos, Mariana Colonna, Elisa Correa, Lucía Cragnaz, María E. Dattero, María Dellafiore, Sabrina Foscaldi, Joaquín V. González, Luciano L. Guerra, Sebastián Klinke, María S. Labanda, Constanza Lauché, Juan C. López, Anabela M. Martínez, Lisandro H. Otero, Elías H. Peyric, Pablo F. Ponziani, Romina Ramondino, Jimena Rinaldi, Santiago Rodríguez, Javier E. Russo, Mara L. Russo, Soledad L. Saavedra, Mauricio Seigelchifer, Santiago Sosa, Claudio Vilariño, Patricia López Biscayart, Esteban Corley, Linus Spatz, Elsa G. Baumeister, Fernando A. Goldbaum</text>
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                <text>The disease named COVID-19, caused by the SARS-CoV-2 coronavirus, is currently generating a global pandemic. Vaccine development is no doubt the best long-term immunological approach, but in the current epidemiologic and health emergency there is a need for rapid and effective solutions. Convalescent plasma is the only antibody-based therapy available for COVID-19 patients to date. Equine polyclonal antibodies (EpAbs) put forward a sound alternative. The new generation of processed and purified EpAbs containing highly purified F(ab')2 fragments demonstrated to be safe and well tolerated. EpAbs are easy to manufacture allowing a fast development and scaling up for a treatment. Based on these ideas, we present a new therapeutic product obtained after immunization of horses with the receptor-binding domain of the viral Spike glycoprotein. Our product shows around 50 times more potency in in vitro seroneutralization assays than the average of convalescent plasma. This result may allow us to test the safety and efficacy of this product in a phase 2/3 clinical trial to be conducted in July 2020 in the metropolitan area of Buenos Aires, Argentina.</text>
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                <text>covid-19, Argentina, hyperimmune horse sera, f(ab')2 fragments</text>
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                <text>Medicina (Buenos Aires)</text>
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                <text>Fundación Revista Medicina</text>
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                <text>About population tests to detect anti-SARS-CoV-2 antibodies</text>
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                <text>Isabel N. Kantor, Viviana Ritacco</text>
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                <text>Opinion: For now, it's unethical to use human challenge studies for SARS-CoV-2 vaccine development.</text>
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                <text>Jeffrey P Kahn, Leslie Meltzer Henry, Anna C Mastroianni, Wilbur H Chen, Ruth Macklin</text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Sriram Selvaraju, Muthusamy Santhosh Kumar, Jeromie Wesley Vivian Thangaraj, Tarun Bhatnagar, Velusamy Saravanakumar, Chethrapilly Purushothaman Girish Kumar, Krithikaa Sekar, Ezhilarasan Ilayaperumal, Ramasamy Sabarinathan, Murugesan Jagadeesan, Masanam Sriramulu Hemalatha, Manoj Vasant Murhekar</text>
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                <text>We conducted a cross-sectional survey to estimate the seroprevalence of IgG  against severe acute respiratory syndrome coronavirus 2  in Chennai, India. Among 12,405 serum samples tested, weighted seroprevalence was 18.4% (95% CI 14.8%–22.6%). These findings indicate most of the population of Chennai is still susceptible to this virus.</text>
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                <text>10.3201/eid2702.203938</text>
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                <text>Emerging Infectious Diseases</text>
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                <text>Centers for Disease Control and Prevention</text>
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                  <text>Dominio científico: Coronavirus</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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                <text>Vitomir Štruc, Peter Peer, Borut Batagelj, Simon Dobrišek</text>
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                <text>The new Coronavirus disease (COVID-19) has seriously affected the world. By the end of November 2020, the global number of new coronavirus cases had already exceeded 60 million and the number of deaths 1,410,378 according to information from the World Health Organization (WHO). To limit the spread of the disease, mandatory face-mask rules are now becoming common in public settings around the world. Additionally, many public service providers require customers to wear face-masks in accordance with predefined rules (e.g., covering both mouth and nose) when using public services. These developments inspired research into automatic (computer-vision-based) techniques for face-mask detection that can help monitor public behavior and contribute towards constraining the COVID-19 pandemic. Although existing research in this area resulted in efficient techniques for face-mask detection, these usually operate under the assumption that modern face detectors provide perfect detection performance (even for masked faces) and that the main goal of the techniques is to detect the presence of face-masks only. In this study, we revisit these common assumptions and explore the following research questions: (i) How well do existing face detectors perform with masked-face images? (ii) Is it possible to detect a proper (regulation-compliant) placement of facial masks? and (iii) How useful are existing face-mask detection techniques for monitoring applications during the COVID-19 pandemic? To answer these and related questions we conduct a comprehensive experimental evaluation of several recent face detectors for their performance with masked-face images. Furthermore, we investigate the usefulness of multiple off-the-shelf deep-learning models for recognizing correct face-mask placement. Finally, we design a complete pipeline for recognizing whether face-masks are worn correctly or not and compare the performance of the pipeline with standard face-mask detection models from the literature. To facilitate the study, we compile a large dataset of facial images from the publicly available MAFA and Wider Face datasets and annotate it with compliant and non-compliant labels. The annotation dataset, called Face-Mask-Label Dataset (FMLD), is made publicly available to the research community.</text>
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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>covid-19, masked-face detection, face-mask classification, face-mask recognition, COVID-19 compliant mask detection</text>
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              <elementText elementTextId="41362">
                <text>10.3390/app11052070</text>
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            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="41363">
                <text>Epidemiology and Health</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="41364">
                <text>Korean Society of Epidemiology</text>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Biology (General), Chemistry, Engineering (General). Civil engineering (General), Technology, Physics</text>
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              <name>Title</name>
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                  <text>Dominio científico: Coronavirus</text>
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      <name>Text</name>
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      <elementSet elementSetId="1">
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>A COVID-19 Patient Presenting with Pneumothorax</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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                <text>Seyyedeh Narjes Abootalebi, Eslam Shorafa, Alireza Abbaspour, Seyed Sina Dehghani, Mehdi Forooghi</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a novel virus that has affected millions of individuals across the world. It was officially declared as a pandemic on March 11, 2020. Although most patients with COVID-19 manifest as viral pneumonia characterized by symptoms such as fever, dyspnea, and cough, atypical presentations such as acute respiratory distress syndrome (ARDS) and acute kidney or cardiac injury have been reported amongst COVID-19 patients. Bilateral and peripheral ground-glass and opacities are the hallmarks of COVID-19 infection on imaging exams. Herein, we aim to describe a COVID-19 patient who presented with shortness of breath, neck pain, chest pain, and bilateral pneumothorax in his imaging exam.</text>
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                <text>2021</text>
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                <text>10.1155/2021/6652819</text>
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            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="41371">
                <text>Case Reports in Infectious Diseases</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="41372">
                <text>Hindawi Limited</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>Infectious and parasitic diseases</text>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
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              <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>Title</name>
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                <text>Psychological Distress and Problem Gambling in Elite Athletes during COVID-19 Restrictions—A Web Survey in Top Leagues of Three Sports during the Pandemic</text>
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            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="41375">
                <text>Göran Kenttä, Anders Håkansson, Caroline Jönsson</text>
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            <description>An account of the resource</description>
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                <text>COVID-19 and lockdown strategies may affect mental health and addictive behavior differently in the population, and elite athletes are among the professions clearly affected by the pandemic. This study in top elite athletes aimed to study current perceived psychological influence from COVID-19 and symptoms of depression, anxiety and changes in alcohol drinking, gambling behavior and problem gambling in the midst of the COVID-19 lockdown. This web survey included athletes in top leagues of soccer, ice hockey and handball in Sweden (N = 327, 62% men). A total of 66% and 51% were worried about the future of their sport or about their own future in sports, respectively. Feeling worse psychologically during the pandemic was common (72% of women, 40% of men, p &lt; 0.001); depression criteria were endorsed by 19% of women and three percent of men (p &lt; 0.001); anxiety criteria by 20% of women and five percent of men (p &lt; 0.001). Reporting increased gambling during the pandemic was associated with gambling problem severity. Moderate-risk or problem gambling was seen in 10% of men and none of the women (p &lt; 0.001). Depression and anxiety were associated with feeling worse during the COVID-19 pandemic and with concern over one’s own sports future. In conclusion, COVID-19-related distress is common in elite athletes and associated with mental health symptoms. Gambling increase during the pandemic was rare, but related to gambling problems, which were common in male athletes. The calls for increased focus on COVID-19-related concerns in athletes and on problem gambling in male athletes.</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>Anxiety, covid-19, Depression, gambling disorder, Sport, elite athlete</text>
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            <description>An unambiguous reference to the resource within a given context</description>
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                <text>10.3390/ijerph17186693</text>
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            <description>A related resource from which the described resource is derived</description>
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                <text>Epidemiology and Health</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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                <text>Korean Society of Epidemiology</text>
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                <text>Medicine</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Laboratory Diagnosis of Novel Coronavirus Disease 2019 (COVID-19) Infection</text>
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                <text>Saqib H. Ansari</text>
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            <description>An account of the resource</description>
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                <text>A cluster of pneumonia cases were reported to World Health Organization (WHO) on 31st December, 2019 from the city of Wuhan, China which were later identified to be caused by a novel coronavirus, named severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The outbreak spread globally and on 11th March 2020, WHO declared COVID-19 as a pandemic. There have been continuous efforts to optimize methods to screen and diagnose large proportion of coronavirus affected population. COVID-19 diagnostic approaches include real-time reverse transcription-PCR (RT-PCR) and serological diagnosis.</text>
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                <text>10.36570/jduhs.2020.2.998</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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                <text>Journal of the Dow University of Health Sciences</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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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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