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                  <text>Dominio científico: Coronavirus</text>
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                <text>Toward Understanding the Variation of Air Quality Based on a Comprehensive Analysis in Hebei Province under the Influence of COVID-19 Lockdown</text>
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                <text>Chuanfeng Zhao, Shuyi Jiang, Hao Fan</text>
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                <text>Associated with the outbreak of new coronavirus in 2019 (COVID-19), lockdown measures were taken in spring 2020 in China, providing an ideal experiment to investigate the effects of emission controls on air quality. Using the observation data at 56 stations in Hebei province from the China National Environmental Monitoring Center from January 2019 to May 2020, along with the reanalysis meteorology data from ERA5, this study investigates the spatial and temporal variations of six air pollutants, and the clean and pollution events in COVID-19 period. Compared with the same periods in day and month in 2019 (SP19), the concentrations of sulfur dioxide (SO2), nitrogen dioxide (NO2), particulate matter with an aerodynamic diameter of less than 10 μm (PM10), particulate matter with an aerodynamic diameter of less than 2.5 μm (PM2.5), and carbon monoxide (CO) decreased by 39.2%, 38.2%, 42.1%, 39.8%, and 24.8% for lockdown period, respectively; and decreased by 13.7%, 8.9%, 16.8%, 13.4%, and 10.6% for post-lockdown period, respectively. In contrast, ozone (O3) increased by 8.0% and 5.5% for lockdown and post-lockdown periods, respectively. The diurnal variation analysis shows that the air pollutants other than O3 decrease more in the morning time (6:00–10:00 local time) than in the afternoon time (14:00–18:00 local time) during both lockdown and post-lockdown periods compared to SP19, implying the potential contribution from pollution-meteorology interaction. After lockdown period, SO2 and NO2 resumed quickly in most cities other than in Zhangjiakou, which is a city with few industries making it more sensitive to meteorology. The significant improvement of air quality during the lockdown period suggests that the whole air quality is highly dependent on the pollutant emissions, while the relatively weak reduction of pollution events imply that the pollution events are more dependent on adverse weather conditions.</text>
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                <text>2021</text>
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                <text>covid-19, lockdown, air pollution, spatiotemporal variation, Hebei Province</text>
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                <text>10.3390/atmos12020267</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>Meteorology. Climatology</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Correction to: The epidemiological characteristics of deaths with COVID-19 in the early stage of epidemic in Wuhan, China</text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Chuanhua Yu, Xiaoxue Liu, Yong Yu, Fang Wang, Sumaira Mubarik, Jianjun Bai, Fang Shi, Jinhong Cao, Haoyu Wen, Jianbo Ding</text>
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            <description>An account of the resource</description>
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                <text>An amendment to this paper has been published and can be accessed via the original article.</text>
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                <text>10.1186/s41256-020-00184-x</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>Public aspects of medicine</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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                  <text>Dominio científico: Coronavirus</text>
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                <text>PTPD: predicting therapeutic peptides by deep learning and word2vec</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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                <text>Chuanyan Wu, Rui Gao, Yu-Sen Zhang, Yang De Marinis</text>
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                <text>Abstract * Background In the search for therapeutic peptides for disease treatments, many efforts have been made to identify various functional peptides from large numbers of peptide sequence databases. In this paper, we propose an effective computational model that uses deep learning and word2vec to predict therapeutic peptides (PTPD). * Results Representation vectors of all k-mers were obtained through word2vec based on k-mer co-existence information. The original peptide sequences were then divided into k-mers using the windowing method. The peptide sequences were mapped to the input layer by the embedding vector obtained by word2vec. Three types of filters in the convolutional layers, as well as dropout and max-pooling operations, were applied to construct feature maps. These feature maps were concatenated into a fully connected dense layer, and rectified linear units (ReLU) and dropout operations were included to avoid over-fitting of PTPD. The classification probabilities were generated by a sigmoid function. PTPD was then validated using two datasets: an independent anticancer peptide dataset and a virulent protein dataset, on which it achieved accuracies of 96% and 94%, respectively. * Conclusions PTPD identified novel therapeutic peptides efficiently, and it is suitable for application as a useful tool in therapeutic peptide design.</text>
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                <text>2019</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>therapeutic peptide, deep learning, word2vec</text>
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                <text>DOI: 10.1186/s12859-019-3006-z</text>
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                <text>BMC Bioinformatics</text>
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                <text>BMC</text>
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                <text>Biology (General), Computer applications to medicine. Medical informatics</text>
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                <text>EN</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Suspending Classes Without Stopping Learning: China’s Education Emergency Management Policy in the COVID-19 Outbreak</text>
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                <text>Chuanyi Wang, Wunong Zhang, Yuxin Wang, Lili Yang</text>
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                <text>Against the backdrop of the COVID-19 outbreak, an emergency policy initiative called &amp;#8220;Suspending Classes Without Stopping Learning&amp;#8221; was launched by the Chinese government to continue teaching activities as schools across the country were closed to contain the virus. However, there is ambiguity and disagreement about what to teach, how to teach, the workload of teachers and students, the teaching environment, and the implications for education equity. Possible difficulties that the policy faces include: the weakness of the online teaching infrastructure, the inexperience of teachers (including unequal learning outcomes caused by teachers&amp;#8217; varied experience), the information gap, the complex environment at home, and so forth. To tackle the problems, we suggest that the government needs to further promote the construction of the educational information superhighway, consider equipping teachers and students with standardized home-based teaching/learning equipment, conduct online teacher training, include the development of massive online education in the national strategic plan, and support academic research into online education, especially education to help students with online learning difficulties.</text>
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                <text>China, covid-19, school, emergency management, Online teaching, Emergency policy, suspending classes without stopping learning</text>
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                <text>10.3390/jrfm13030055</text>
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                <text>Epidemiology and Health</text>
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                <text>Korean Society of Epidemiology</text>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Finance, Risk in industry. Risk management</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>The rapid spread of new coronaviruses throughout China and the world in 2019&amp;#8722;2020 has had a great impact on China&amp;#8217;s economic and social development. As the backbone of Chinese society, Chinese universities have made significant contributions to emergency risk management. Such contributions have been made primarily in the following areas: alumni resource collection, medical rescue and emergency management, mental health maintenance, control of staff mobility, and innovation in online education models. Through the support of these methods, Chinese universities have played a positive role in the prevention and control of the epidemic situation. However, they also face the problems of alumni&amp;#8217;s economic development difficulties, the risk of deadly infection to medical rescue teams and health workers, infection of teachers and students, and the unsatisfactory application of information technology in resolving the crisis. In response to these risks and emergency problems, we propose some corresponding solutions for public dissemination, including issues related to medical security, emergency research, professional assistance, positive communication, and hierarchical information-based teaching.</text>
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                <text>COVID-19, Wuhan, Chinese universities, Risk Management, public safety, Information Technology, On-line education</text>
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                <text>DOI: 10.3390/jrfm13020036</text>
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            <description>A related resource from which the described resource is derived</description>
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                <text>Journal of Risk and Financial Management</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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                <text>MDPI AG</text>
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                <text>Finance, Risk in industry. Risk management</text>
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            <description>A language of the resource</description>
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              <description>A name given to the resource</description>
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                  <text>Agricultura sostenible</text>
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              <description>An account of the resource</description>
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                  <text>Dominio científico: Agricultura sostenible</text>
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            <description>A name given to the resource</description>
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                <text>Post-release survival and movements patterns of roosterfish (Nematistius pectoralis) off the Central American coastline</text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Chugey A Sepulveda, Scott A Aalbers, Diego Bernal</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="178234">
                <text>Acoustic telemetry was used to assess immediate post-release survival and track the short-term movement patterns of roosterfish Nematistius pectoralis between 2008 and 2010. Seven roosterfish (85 to 146 cm fork length, FL) were continuously tracked along the Central American coastline for periods of up to 28 h following capture on recreational fishing tackle. All seven roosterfish were initially captured and spent the duration of the track period proximal to the coastline in waters</text>
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                <text>2015</text>
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            <description>The topic of the resource</description>
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                <text>Nematistidae, Nematistius pectoralis, Pesca deportiva, costa centroamericana, ecología, pejegallo</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>10.3856/vol43-issue1-fulltext-14</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="178238">
                <text>Latin American Journal of Aquatic Research</text>
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          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="178239">
                <text>Escuela de Ciencias del Mar, Facultad de Recursos Naturales, Pontificia Universidad Católica de Valparaíso</text>
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            </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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              <elementText elementTextId="178240">
                <text>Biology (General), Oceanography, Aquaculture. Fisheries. Angling</text>
              </elementText>
            </elementTextContainer>
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            <name>Relation</name>
            <description>A related resource</description>
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                <text>&lt;a href="http://www.scielo.cl/scielo.php?script=sci_arttext&amp;amp;pid=S0718-560X2015000100014&amp;amp;lng=en&amp;amp;tlng=en" target="_blank" rel="noreferrer noopener"&gt;http://www.scielo.cl/scielo.php?script=sci_arttext&amp;amp;pid=S0718-560X2015000100014&amp;amp;lng=en&amp;amp;tlng=en&lt;/a&gt;</text>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
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                <elementText elementTextId="1">
                  <text>Coronavirus</text>
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              </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>
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      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Perception of COVID-19 Pandemic Among Residents of a High Density – Low Income Area in Enugu City, Nigeria</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="68484">
                <text>Chukwuebuka Okafor, Christian Madu, Charles Ajaero, Henrietta Ajaero, Chinelo Nzekwe, Loveline Nebo</text>
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            <description>An account of the resource</description>
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              <elementText elementTextId="68485">
                <text>Coronavirus (COVID-19) infection is increasing steadily in Nigeria. The aim of this study is to assess the perception of people living in low income and densely populated area about COVID-19. This study was carried out in one of the most popular low income area (Abakpa-Nike) in a major city in South East, Nigeria (Enugu). Four hundred questionnaires were administered to heads of the household in this community. A return rate of 77.5% was achieved. Descriptive (frequency, percentages, weighted average and median) and inferential statistics were used for the study. Our tests show that females are more likely to use facemask more frequently than males (p=0.000). However, there is no association between gender and frequent use of hand sanitizers (p=0.06). also, no association exists between gender and regular observation of social distancing (p=0.272). There was also an association between educational status and perception that Nigeria’s tropical climate “kills” COVID-19 virus (p=0.021). No association exist between educational status and the perception that Nigerians immune system is “stronger” than COVID-19 virus (p=0.147). Therefore, National Center for Diseases and Control, Presidential Task Force on COVID-19 and pertinent state agencies should put into consideration educational attainment and economic status of the people in communication output.</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="68486">
                <text>2020</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="68487">
                <text>covid-19, Perception, Nigeria, prevention measures, high density</text>
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            </elementTextContainer>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="68488">
                <text>10.47577/tssj.v11i1.1480</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="68489">
                <text>Epidemiology and Health</text>
              </elementText>
            </elementTextContainer>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="68490">
                <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="68491">
                <text>Social sciences (General)</text>
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  <item itemId="3528" public="1" featured="0">
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
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                <elementText elementTextId="1">
                  <text>Coronavirus</text>
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            <element elementId="41">
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              <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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      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
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                <text>KSR/KSTR Guidelines for the Use of Diagnostic Imaging for COVID-19</text>
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            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="32624">
                <text>Chul Hwan Park, Kyung-Hyun Do, Hwan Seok Yong, Soon Ho Yoon, Kwang Nam Jin, Kyongmin Sarah Beck</text>
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            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="32625">
                <text>The Korean Society of Radiology and the Korean Society of Thoracic Radiology have preparedrecommendations for the use of diagnostic imaging for COVID-19 in various clinical scenarios.We have tried to grasp the situation in the real world, aggregated opinions from the chest radiologists,and reviewed available references, in order to suggest the most reasonable recommendationspossible at this moment. As circumstances change and new evidences emerge,the recommendations should immediately be modified accordingly.</text>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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                <text>2020</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>coronavirus, guideline, Republic of Korea, diagnostic imaging, COVID-19</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="32628">
                <text>DOI: https://doi.org/10.3348/jksr.2020.81.3.577</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="32629">
                <text>대한영상의학회지</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="32630">
                <text>The Korean Society of Radiology</text>
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            </elementTextContainer>
          </element>
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            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
            <elementTextContainer>
              <elementText elementTextId="32631">
                <text>Medical physics. Medical radiology. Nuclear medicine</text>
              </elementText>
            </elementTextContainer>
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  <item itemId="9422" public="1" featured="0">
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        <src>http://socictopen.socict.org/files/original/bf18d93b0771a90a38eeb50dfa116be6.pdf</src>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
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              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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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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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="78536">
                <text>Ultra-fast and recyclable DNA biosensor for point-of-care detection of SARS-CoV-2 (COVID-19).</text>
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          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="78537">
                <text>Chuljin Hwang, Nakkyun Park, Eun Seong Kim, Miran Kim, Su Dong Kim, Sungjun Park, Nam Young Kim, Joo Hee Kim</text>
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            <description>An account of the resource</description>
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              <elementText elementTextId="78538">
                <text>Rapid diagnosis and case isolation are pivotal to controlling the current pandemic of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). In this study, a label-free DNA capacitive biosensor for the detection of SARS-CoV-2 that demonstrates real-time, low-cost, and high-throughput screening of nucleic acid samples is presented. Our novel biosensor composed of the interdigitated platinum/titanium electrodes on the glass substrate can detect the hybridization of analyte DNA with probe DNA. The hybridization signals of specific DNA sequences were verified through exhaustive physicochemical analytical techniques such as Fourier transform infrared (FT-IR) spectrometry, contact-angle analysis, and capacitance-frequency measurements. For a single-step hybridized reaction, the fabricated kit exhibited significant sensitivity (capacitance change, ΔC = ~2 nF) in detecting the conserved region of the SARS-CoV-2 RNA-dependent RNA polymerase (RdRp) gene with high sensitivity of 0.843 nF/nM. In addition to capacitive measurements, this selective detection was confirmed by the fluorescence image and intensity from a SARS-CoV-2 gene labeled with a fluorescent dye. We also demonstrated that the kits are recyclable by surface ozone treatment using UV irradiation. Thus, these kits could potentially be applied to various types of label-free DNA, thereby acting as rapid, cost-effective biosensors for several diseases.</text>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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              <elementText elementTextId="78539">
                <text>2021</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="78540">
                <text>SARS-CoV-2, point-of-care diagnostics, Capacitance transducer, Electrochemical DNA detection, Recyclable biosensor</text>
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            </elementTextContainer>
          </element>
          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="78541">
                <text>10.1016/j.bios.2021.113177</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="78542">
                <text>Biosensors &amp; bioelectronics</text>
              </elementText>
            </elementTextContainer>
          </element>
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