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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Validity of the 6-Minute Walk Test in Patients with End-Stage Lung Diseases Wearing an Oronasal Surgical Mask in Times of the COVID-19 Pandemic.</text>
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                <text>Isabell Anna Just, Felix Schoenrath, Philipp Passinger, Julia Stein, Dagmar Kemper, Christoph Knosalla, Volkmar Falk, Jan Knierim</text>
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                <text>The 6-minute walk test (6MWT), as a clinical assessment tool for functional exercise capacity, is an integral component of lung allocation scores (LASs). In times of the coronavirus disease (COVID-19) pandemic, patients underwent 6MWTs wearing a surgical mask in ambulatory care. We investigated the impact of wearing a mask on 6-minute walk distances (6MWDs). 6MWDs of 64 patients with end-stage lung diseases wearing an oronasal surgical mask were retrospectively compared to previously investigated 6MWDs of the same cohort, in a pre-COVID-19 pandemic era, without wearing a mask. Four patients were excluded due to a primary vascular disease, 29 patients due to clinically unstable pulmonary functions, and 1 patient due to a psychiatric disorder. The median age of the patients included was 55 (46-58) years; 15 (48%) were male. Ten (32.2%) were on the Eurotransplant lung transplant waiting list with a median LAS of 34.3 (31.9-36.2). Twenty (64.5%) patients had chronic obstructive pulmonary diseases, 7 (22.6%) had interstitial lung diseases, and 4 (12.9%) had other end-stage lung diseases. The mean 6MWD without versus with wearing a mask was 306.9 (101.9) versus 305.7 (103.8) m, with a mean difference of -1.19 m (95% confidence interval -13.4 to 11.03). The observed difference is statistically equivalent to zero (p &lt; 0.001). No significant differences in 6MWDs were observed between the clinical groups. Wearing an oronasal surgical mask did not affect the 6MWDs of patients with advanced lung diseases. Therefore, a masked 6MWT appears to provide a reliable examination of functional exercise capacity in this cohort.</text>
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                <text>covid-19 pandemic, Lung transplantation, 6-Minute walk test, Advanced pulmonary disease</text>
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                <text>10.1159/000515606</text>
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                <text>Respiration; international review of thoracic diseases</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Basic principles for the development of an application to bi-manipulate boxes with a humanoid robot</text>
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                <text>J. Hernandez-Vicen, S. Martinez, C. Balaguer</text>
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                <text>Logistics is a sector which is continuously growing, due to globalization, as well as the current situation caused by the Covid. In this article, an application to recognize boxes is described. The characteristics are extracted with the goal of identify the opening side of the box by using computer vision techniques. This goal has been achieved considering the dimensions, as well as, the position in the space of the box. Those characteristics were obtained processing 2D and 3D images. Then, this information has been classified by using a decision tree based on the human knowledge. The probability of each of the six faces to be the opening side is obtained. This article is a base to develop in the future an application in which the humanoid robot TEO is capable to learn the optimal way to find the opening of boxes and bimanipulate them to be opened in an automated system.</text>
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                <text>2021</text>
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                <text>Clasificación, visión por computador, Corrección errores, robot humanoide</text>
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                <text>10.4995/riai.2020.13097</text>
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                <text>Revista Iberoamericana de Automática e Informática Industrial RIAI</text>
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                <text>Universitat Politecnica de Valencia</text>
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                <text>Control engineering systems. Automatic machinery (General)</text>
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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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            <name>Title</name>
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                <text>Analytical model of innovation ecosystem development</text>
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                <text>Popov Evgeny, Dolghenko Ruslan, Simonova Victoria, Chelak Igor</text>
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                <text>The fundamental challenges faced by the global economy with the advent of the COVID-19 pandemic and the prospects for re-globalization provide opportunities for the intensification of the development of new forms of coordination of economic relations – innovative ecosystems (regional, industrial, entrepreneurial). It seems that economic relations are built within the framework of a particular ecosystem, and the scientific descriptive and predictive analytics are not sufficiently able to describe their nature and the main patterns of growth. In order to provide a theoretical and practical contribution to the developing ecosystem approach, the article presents an analytical model of the innovation ecosystem of a high-tech company, proposed for evaluating and comparing its level of development. Research methods include content analysis of scientific literature devoted to the study of innovative ecosystems and approaches to their assessment, system analysis and factor modeling. The research fundament is based on the dynamics of indicators of innovative development of the ecosystem of a large production company in the Sverdlovsk region for 2013-2019. The model was tested according to the indicators of 2018. Further directions of the research in the practical aspect will consist in a comparative analysis of other periods of the company’s activity, as well as in the application and verification of the model on the indicators of other organizations. Justification of the possibilities of creating technologies for managing the innovation ecosystem is seen as a theoretical component of future research.</text>
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                <text>2021</text>
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                <text>10.1051/e3sconf/202125001004</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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                <text>Korean Society of Epidemiology</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>Environmental sciences</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>SARS-CoV-2 and Stroke Characteristics: A Report From the Multinational COVID-19 Stroke Study Group.</text>
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                <text>Ronen R Leker, Shima Shahjouei, Georgios Tsivgoulis, Ghasem Farahmand, Eric Koza, Ashkan Mowla, Alireza Vafaei Sadr, Arash Kia, Alaleh Vaghefi Far, Stefania Mondello, Achille Cernigliaro, Annemarei Ranta, Martin Punter, Faezeh Khodadadi, Soheil Naderi, Mirna Sabra, Mahtab Ramezani, Ali Amini Harandi, Oluwaseyi Olulana, Durgesh Chaudhary, Aicha Lyoubi, Bruce C V Campbell, Juan F Arenillas, Daniel Bock, Joan Montaner, Saeideh Aghayari Sheikh Neshin, Diana Aguiar de Sousa, Matthew S Tenser, Ana Aires, Mercedes de Lera Alfonso, Orkhan Alizada, Elsa Azevedo, Nitin Goyal, Zabihollah Babaeepour, Gelareh Banihashemi, Leo H Bonati, Carlo W Cereda, Jason J Chang, Miljenko Crnjakovic, Gian Marco De Marchis, Massimo Del Sette, Seyed Amir Ebrahimzadeh, Mehdi Farhoudi, Ilaria Gandoglia, Bruno Gonçalves, Christoph J Griessenauer, Mehmet Murat Hanci, Aristeidis H Katsanos, Christos Krogias, Lev Lotman, Jeffrey Mai, Shailesh Male, Konark Malhotra, Branko Malojcic, Teresa Mesquita, Asadollah Mir Ghasemi, Hany Mohamed Aref, Zeinab Mohseni Afshar, Jusun Moon, Mika Niemelä, Behnam Rezai Jahromi, Lawrence Nolan, Abhi Pandhi, Jong-Ho Park, João Pedro Marto, Francisco Purroy, Sakineh Ranji-Burachaloo, Nuno Reis Carreira, Manuel Requena, Marta Rubiera, Seyed Aidin Sajedi, João Sargento-Freitas, Vijay K Sharma, Thorsten Steiner, Kristi Tempro, Guillaume Turc, Yasaman Ahmadzadeh, Mostafa Almasi-Dooghaee, Farhad Assarzadegan, Arefeh Babazadeh, Humain Baharvahdat, Fabricio Buchadid Cardoso, Apoorva Dev, Mohammad Ghorbani, Ava Hamidi, Zeynab Sadat Hasheminejad, Sahar Hojjat-Anasri Komachali, Fariborz Khorvash, Firas Kobeissy, Hamidreza Mirkarimi, Elahe Mohammadi-Vosough, Debdipto Misra, Ali Reza Noorian, Peyman Nowrouzi-Sohrabi, Sepideh Paybast, Leila Poorsaadat, Mehrdad Roozbeh, Behnam Sabayan, Saeideh Salehizadeh, Alia Saberi, Mercedeh Sepehrnia, Fahimeh Vahabizad, Thomas Alexandre Yasuda, Mojdeh Ghabaee, Nasrin Rahimian, Mohammad Hossein Harirchian, Afshin Borhani-Haghighi, Mahmoud Reza Azarpazhooh, Rohan Arora, Saeed Ansari, Venkatesh Avula, Jiang Li, Vida Abedi, Ramin Zand</text>
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                <text>[Figure: see text].</text>
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                <text>2021</text>
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                <text>Stroke, venous thrombosis, CEREBROVASCULAR DISORDERS, Neuroimaging, intracranial hemorrhages</text>
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                <text>10.1161/STROKEAHA.120.032927</text>
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                <text>Stroke</text>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="56866">
                <text>Data mining of coronavirus: SARS-CoV-2, SARS-CoV and MERS-CoV</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="56867">
                <text>Jung Eun Huh, Seunghee Han, Taeseon Yoon</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="56868">
                <text>Abstract Objective In this study we compare the amino acid and codon sequence of SARS-CoV-2, SARS-CoV and MERS-CoV using different statistics programs to understand their characteristics. Specifically, we are interested in how differences in the amino acid and codon sequence can lead to different incubation periods and outbreak periods. Our initial question was to compare SARS-CoV-2 to different viruses in the coronavirus family using BLAST program of NCBI and machine learning algorithms. Results The result of experiments using BLAST, Apriori and Decision Tree has shown that SARS-CoV-2 had high similarity with SARS-CoV while having comparably low similarity with MERS-CoV. We decided to compare the codons of SARS-CoV-2 and MERS-CoV to see the difference. Though the viruses are very alike according to BLAST and Apriori experiments, SVM proved that they can be effectively classified using non-linear kernels. Decision Tree experiment proved several remarkable properties of SARS-CoV-2 amino acid sequence that cannot be found in MERS-CoV amino acid sequence. The consequential purpose of this paper is to minimize the damage on humanity from SARS-CoV-2. Hence, further studies can be focused on the comparison of SARS-CoV-2 virus with other viruses that also can be transmitted during latent periods.</text>
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          </element>
          <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="56869">
                <text>2021</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="56870">
                <text>MERS-CoV, SARS-CoV, coronavirus, SARS-CoV-2, BLAST, Apriori</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="56871">
                <text>10.1186/s13104-021-05561-4</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="56872">
                <text>Epidemiology and Health</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="56873">
                <text>Korean Society of Epidemiology</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="56874">
                <text>Biology (General), Medicine, Science (General)</text>
              </elementText>
            </elementTextContainer>
          </element>
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  <item itemId="6405" public="1" featured="0">
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        <src>https://www.socictopen.socict.org/files/original/1882db14bcd4873a42437e217296491b.pdf</src>
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        <elementSet elementSetId="1">
          <name>Dublin Core</name>
          <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
          <elementContainer>
            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="1">
                  <text>Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
              <elementTextContainer>
                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
          </elementContainer>
        </elementSet>
      </elementSetContainer>
    </collection>
    <itemType itemTypeId="1">
      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
    </itemType>
    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="56875">
                <text>The impact of COVID-19 pandemic on colorectal cancer patients: a single-center retrospective study</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="56876">
                <text>Fangqi Liu, Ye Xu, Yun Xu, Cong Li, Charlie Zhi-Lin Zheng, Zong-Hao Huang, Yu-Qin Zhang, Tian-An Guo</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="56877">
                <text>Abstract Background Since December 2019, China has experienced a public health emergency from the coronavirus disease, which has become a pandemic and is impacting the care of cancer patients worldwide. This study evaluated the impact of the pandemic on colorectal cancer (CRC) patients at our center and aimed to share the lessons we learned with clinics currently experiencing this impact. Methods We retrospectively collected data on CRC patients admitted between January 1, 2020 and May 3, 2020; the control group comprised patients admitted between January 1, 2019 and May 3, 2019. Results During the pandemic, outpatient volumes decreased significantly, especially those of nonlocal and elderly patients, whereas the number of patients who received chemotherapy and surgery remained the same. During the pandemic, 710 CRC patients underwent curative resection. The proportion of patients who received laparoscopic surgeries was 49.4%, significantly higher than the 39.5% during the same period in 2019. The proportion of major complication during the pandemic was not significantly different from that of the control group. The mean hospital stay was significantly longer than that of the control group. Conclusions CRC patients confirmed to be infection-free can receive routine treatment. Using online medical counseling and appropriate identification, treatment and follow-up can be effectively maintained. Adjuvant and palliative chemotherapy should not be discontinued. Endoscopic polypectomy, elective, palliative, and multidisciplinary surgeries can be postponed, while curative surgery should proceed as usual. For elderly CRC patients, endoscopic surgery and neoadjuvant radiotherapy are recommended.</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="56878">
                <text>2021</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="56879">
                <text>public health emergency, endoscopy, clinical management, chemotherapy, Colorectal surgery</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="56880">
                <text>10.1186/s12876-021-01768-8</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="56881">
                <text>Epidemiology and Health</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="56882">
                <text>Korean Society of Epidemiology</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="56883">
                <text>Diseases of the digestive system. Gastroenterology</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
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  <item itemId="6406" public="1" featured="0">
    <fileContainer>
      <file fileId="6406">
        <src>https://www.socictopen.socict.org/files/original/e1bb4c18ae95ae02eccbad29c2b770a6.pdf</src>
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          <name>Dublin Core</name>
          <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
          <elementContainer>
            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="1">
                  <text>Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
              <elementTextContainer>
                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
          </elementContainer>
        </elementSet>
      </elementSetContainer>
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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>
        <elementContainer>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="56884">
                <text>Blockchain Enabled Tracking of Physician Burnout and Stressors During the COVID-19 Pandemic</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="56885">
                <text>Vikram Dhillon, Tailong Xu, Chirag Parikh</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="56886">
                <text>With more than 54 million cases worldwide, the novel coronavirus disease 2019 (COVID-19) has disrupted every aspect of public life and poses an ever-growing burden on an already strained healthcare system. The emergence of new COVID-19 hot-spots and super-spreader events are placing an immense amount of stress on hospital systems responding to the increased influx of critically ill patients. Healthcare workers and frontline physicians disproportionately bear the additional physical and psychological burdens associated with the appearance of a new hot-spot. However, the mental health implications of COVID-19 for physicians are not well understood. In this perspective piece, we discuss widespread effects of the ongoing pandemic on physician mental health and how blockchain infrastructure can enable digital health technologies in supporting data-driven fatigue mitigation interventions. This is particularly applicable to simplifying physician workflows in newly emerging hot-spots.</text>
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            </elementTextContainer>
          </element>
          <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="56887">
                <text>2021</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="56888">
                <text>covid-19, blockchain, physician, moral injury, burnout – professional</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="56889">
                <text>10.3389/fbloc.2020.586742</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="56890">
                <text>Epidemiology and Health</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="56891">
                <text>Korean Society of Epidemiology</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="56892">
                <text>Information technology</text>
              </elementText>
            </elementTextContainer>
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  <item itemId="6407" public="1" featured="0">
    <fileContainer>
      <file fileId="6407">
        <src>https://www.socictopen.socict.org/files/original/3b6b070b6c9f814bbeea85cd4362b694.pdf</src>
        <authentication>119c0d8d522850fe614216e2cfbc3f0a</authentication>
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          <name>Dublin Core</name>
          <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
          <elementContainer>
            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="1">
                  <text>Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
              <elementTextContainer>
                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
          </elementContainer>
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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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    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="56893">
                <text>The impact of Covid-19 on the port environment: The case of Tanger Med container port, Morocco</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="56894">
                <text>Abous Hajar, Hamiche Mhamed, El Merouani Mohamed</text>
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            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="56895">
                <text>The appearance of the COVID-19 virus has a huge impact on the economy, where many factories and logistics flows are affected. With global supply chains severely disrupted, production and consumption centers around the world are beginning to be affected by the situation. our study tried to measure the impact of this pandemic on the containers transport in Morocco, our work targeted the Tanger Med port due to its geographic position as the most important link between Africa and Europe, Autoregressive Distributed Lag (ARDL) cointegration technique was applied, this model integrates the term of lag and difference in the modeling of linear series. To verify the existence of long-term relationships, F-bond test was applied. The model was estimated on short and long term. the results were significant and has shown that the activity within Tanger Med port, experienced a shock during the pandemic period.</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="56896">
                <text>2021</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="56897">
                <text>10.1051/e3sconf/202123400025</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="56898">
                <text>Epidemiology and Health</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="56899">
                <text>Korean Society of Epidemiology</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="56900">
                <text>Environmental sciences</text>
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  <item itemId="6408" public="1" featured="0">
    <fileContainer>
      <file fileId="6408">
        <src>https://www.socictopen.socict.org/files/original/40cf8bb2900d6466fb342dc2a55e9ec6.pdf</src>
        <authentication>a76e1a846c365191f16094795b08392a</authentication>
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        <elementSet elementSetId="1">
          <name>Dublin Core</name>
          <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
          <elementContainer>
            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="1">
                  <text>Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
              <elementTextContainer>
                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
          </elementContainer>
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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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    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="56901">
                <text>The therapeutic effect and safety of the drugs for COVID-19: A systematic review and meta-analysis.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="56902">
                <text>Rong Qiu, Jingwei Li, Yuxuan Xiao, Ziyi Gao, Yihang Weng, Qiran Zhang, Chengdi Wang, Hanlin Gong, Weimin Li</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="56903">
                <text>Coronavirus disease 2019 (COVID-19) has spread almost all regions of the world and caused great loss to the whole body of mankind. Thus, numerous clinical trials were conducted to find specific medicine for COVID-19 recently. However, it remains unanswered whether they are beneficial. This study aimed to evaluate the efficiency and safety of the COVID-19 medicine. Studies were determined through searching PubMed, Embase, Cochrane Library, and Medline. The studies of COVID-19 medicine were involved with eligible end points containing mortality, discharge rate, rate of clinical improvement, and rate of serious adverse events. A total of 33 studies involving 37,879 patients were included in our study, whose intervening measures contained three major types of COVID-19 medicine, ACEI/ARB, antiviral medicine, and chloroquine/hydroxychloroquine. Compared to control group, COVID-19 drugs have no distinct effect on mortality (RR, 0.93; 95% CI, 0.79-1.11, P = .43) and discharge rate (RR, 1.06; 95% CI, 0.98-1.14, P = .13). However, antiviral medicine presents the obvious advantage in clinical improvement (RR, 1.11; 95% CI, 1.01-1.23, P &lt; .05). In addition, the serious adverse events rate (RR, 0.75; 95% CI, 0.63-0.88, P &lt; .05) of COVID-19 medicine is lower than control group. The results indicated antiviral medicine was potential specific medicine for COVID-19 treatment by improving clinical symptoms, but it failed to increase the discharge rate and reduce mortality. Chloroquine/hydroxychloroquine and ACEI/ARB had no significant effect on treatment of COVID-19, thus they were not recommended for routine medication. Moreover, more trials are needed to find effective drugs to lower the mortality of COVID-19 patients.</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="56904">
                <text>2021</text>
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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="56905">
                <text>10.1097/MD.0000000000025532</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="56906">
                <text>Medicine</text>
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  <item itemId="6409" public="1" featured="0">
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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Physical activity, screen exposure and sleep among students during the pandemic of COVID-19</text>
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                <text>Min-qi Liao, Fang-fang Zeng, Yanhua Liu, Shu-na Li, Ze-yan Luo, Yun-feng Cui, Yang-feng Guo, Wei-li Cai, Xiao-xuan Yu, Xing-yao Ke, Si-xian Tan, Qian Wang, Xu-ping Gao, Jun Liu, Sui Zhu</text>
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                <text>Abstract This study aimed to determine the levels of health-related behaviours (physical activity, screen exposure and sleep status) among Chinese students from primary, secondary and high schools during the pandemic of COVID-19, as well as their changes compared with their status before the pandemic. A cross-sectional online survey of 10,933 students was conducted among 10 schools in Guangzhou, China, between 8th and 15th March, 2020. After getting the informed consent from student’s caregivers, an online questionnaire was designed and used to obtain time spending on health-related behaviours during the pandemic of COVID-19, as well as the changes compared with 3 months before the pandemic, which was completed by students themselves or their caregivers. Students were stratified by regions (urban, suburban, exurban), gender (boys and girls), and grades (lower grades of primary school, higher grades of primary schools, secondary schools and high schools). Data were expressed as number and percentages and Chi-square test was used to analyse difference between groups. Overall, the response rate of questionnaire was 95.3% (10,416/10,933). The median age of included students was 13.0 (10.0, 16.0) years and 50.1% (n = 5,219) were boys. 41.4%, 53.6% and 53.7% of total students reported less than 15 min per day in light, moderate and vigorous activities and 58.7% (n = 6,113) reported decreased participation in physical activity compared with the time before pandemic. Over 5 h of screen time spending on online study was reported by 44.6% (n = 4,649) of respondents, particular among high school students (81.0%). 76.9% of students reported increased screen time compared with the time before pandemic. Inadequate sleep was identified among 38.5% of students and the proportion was highest in high school students (56.9%). Our study indicated that, during the COVID-19 pandemic, the school closure exerted tremendous negative effects on school-aged children’s health habits, including less physical activity, longer screen exposure and irregular sleeping pattern.</text>
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                <text>2021</text>
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                <text>10.1038/s41598-021-88071-4</text>
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                <text>Epidemiology and Health</text>
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                <text>Korean Society of Epidemiology</text>
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