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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>A computational framework to assess genome-wide distribution of polymorphic human endogenous retrovirus-K In human populations.</text>
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                <text>Weiling Li, Lin Lin, Raunaq Malhotra, Lei YANG, Raj Acharya, Mary Poss</text>
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                <text>Human Endogenous Retrovirus type K (HERV-K) is the only HERV known to be insertionally polymorphic; not all individuals have a retrovirus at a specific genomic location. It is possible that HERV-Ks contribute to human disease because people differ in both number and genomic location of these retroviruses. Indeed viral transcripts, proteins, and antibody against HERV-K are detected in cancers, auto-immune, and neurodegenerative diseases. However, attempts to link a polymorphic HERV-K with any disease have been frustrated in part because population prevalence of HERV-K provirus at each polymorphic site is lacking and it is challenging to identify closely related elements such as HERV-K from short read sequence data. We present an integrated and computationally robust approach that uses whole genome short read data to determine the occupation status at all sites reported to contain a HERV-K provirus. Our method estimates the proportion of fixed length genomic sequence (k-mers) from whole genome sequence data matching a reference set of k-mers unique to each HERV-K locus and applies mixture model-based clustering of these values to account for low depth sequence data. Our analysis of 1000 Genomes Project Data (KGP) reveals numerous differences among the five KGP super-populations in the prevalence of individual and co-occurring HERV-K proviruses; we provide a visualization tool to easily depict the proportion of the KGP populations with any combination of polymorphic HERV-K provirus. Further, because HERV-K is insertionally polymorphic, the genome burden of known polymorphic HERV-K is variable in humans; this burden is lowest in East Asian (EAS) individuals. Our study identifies population-specific sequence variation for HERV-K proviruses at several loci. We expect these resources will advance research on HERV-K contributions to human diseases.</text>
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                <text>2019</text>
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                <text>DOI: 10.1371/journal.pcbi.1006564</text>
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                <text>PLoS Computational Biology</text>
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                <text>Public Library of Science (PLoS)</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)</text>
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            <description>A language of the resource</description>
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              <name>Title</name>
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                  <text>Coronavirus</text>
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              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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        <name>Dublin Core</name>
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            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Curriculum Innovation in Times of the COVID-19 Pandemic: The Thinking-Based Instruction Theory and Its Application</text>
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                <text>Weiping Hu, Yangping Li, Yangping Li, Xinru Zhang, David Yun Dai, David Yun Dai, Weiping Hu</text>
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            <description>An account of the resource</description>
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                <text>At the beginning of 2020, to stop the spread of the coronavirus disease (COVID-19) to the campus, the Ministry of Education of China launched a policy “Suspension of classes without suspending schooling” for the spring semester of 2020. However, the drawbacks of online teaching (e.g., students’ inadequate autonomous learning, the lack of effective online instruction) forced us to modify teaching strategies during this special period, especially developing courses that are suitable for student learning at home and improving their key competencies. In order to solve these problems, this study introduces some theoretical exploration and practical work of curriculum design under the guidance of thinking-based instruction theory (TBIT) during the pandemic. We firstly introduce TBIT, and elaborate on the curriculum design under the TBIT theoretical frame. Then we describe a series of TBIT-based micro-courses with the pandemic as background. A descriptive study is reported to illustrate the effects of three micro-courses. Results showed that, compared to national curricula, the TBIT-based micro-courses not only improved the course quality but also enhanced students’ motivation and facilitated their online learning behavior (such as interactive communication) for the online courses. The current study has important implications for how to design effective and interesting online courses suitable under pandemic and capable of improving students’ thinking abilities and key competencies.</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>2021</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>online learning, key competencies, curriculum innovation, thinking-based instruction theory, learning at home</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="78304">
                <text>10.3389/fpsyg.2021.601607</text>
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          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="78305">
                <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="78306">
                <text>Korean Society of Epidemiology</text>
              </elementText>
            </elementTextContainer>
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            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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              <elementText elementTextId="78307">
                <text>Psychology</text>
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              <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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              </elementTextContainer>
            </element>
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      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
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      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="19453">
                <text>Measuring inequalities in the public health workforce at county-level Centers for Disease Control and Prevention in China</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="19454">
                <text>Weiqin Cai, Chengyue Li, Mei Sun, Mo Hao</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Abstract Background The public health workforce (PHW) is a key component of a country’s public health system. Since the outbreak of SARS (severe acute respiratory syndrome) in 2003, the scale of PHW in China has been continuously expanding, but policymakers and researchers still focus on the distribution of public health personnel, especially the regional inequality in such distribution. We aimed to identify the root cause of PHW inequality by decomposing different geographical units in China. Methods This study was based on data from a nationwide survey, which included 2712 county-level data. The distribution of the PHW in geographical units was evaluated by the Gini coefficient and Theil T index, and inequalities at regional, provincial, and municipal levels were decomposed to identify the root causes of inequalities in the PHW. Additionally, the contextual factors affecting the distribution of the PHW were determined through regression analysis. Results The overall inequality results show that health professional and field epidemiological investigators faced worse inequality than the staff. In particular, field epidemiological investigators had a Gini coefficient close to 0.4. Step decomposition showed that within-region inequalities accounted for 98.5% or more of overall inter-county inequality in the distribution of all PHW categories; provincial decomposition showed that at least 74% of inequality is still distributed within provinces; the overall contribution of within-municipal inequality and between-municipal inequality was basically the same. Further, the contextual factor that influenced between-municipality and within-municipality inequality for all three categories of PHWs was the agency building area per employee. Per capita GDP had a similar effect, except for between-municipality inequality of professionals and within-municipality inequality of field epidemiological investigators. Conclusions The successive decomposition showed that inequality is mainly concentrated in counties at the within-province and within-municipal levels. This study clearly suggests that the government, especially the municipal government at the provincial level, should increase financial investment in Centers for Disease Control and Prevention (CDCs) with worse resource allocation in their jurisdiction through various ways of compensation and incentives, enhance their infrastructure, and improve the salary of personnel in these institutions, to attract more public health professionals to these institutions.</text>
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              <elementText elementTextId="19456">
                <text>2019</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="19457">
                <text>public health workforce, Inequalities decomposition, cdc, county level</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="19458">
                <text>DOI: 10.1186/s12939-019-1073-4</text>
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          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="19459">
                <text>International Journal for Equity in Health</text>
              </elementText>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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                <text>BMC</text>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Public aspects of medicine</text>
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                <text>EN</text>
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              <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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            <description>A name given to the resource</description>
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                <text>Emotion Recognition of Students Based on Facial Expressions in Online Education Based on the Perspective of Computer Simulation</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="82965">
                <text>Weiqing Wang, Kunliang Xu, Hongli Niu, Xiangrong Miao</text>
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            <description>An account of the resource</description>
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                <text>Online education has developed rapidly due to its irreplaceable convenience. Under the severe circumstances caused by COVID-19 recently, many schools around the world have delayed opening and adopted online education as one of the main teaching methods. However, the efficiency of online classes has long been questioned. Compared with traditional face-to-face classes, there is a lack of direct, timely, and effective communication and feedback between teachers and students in the online courses. Previous studies have shown that there is a close and stable relationship between a person’s facial expressions and emotions generally. From the perspective of computer simulation, a framework combining a face expression recognition (FER) algorithm with online courses platforms is proposed in this work. The cameras in the devices are used to collect students’ face images, and the facial expressions are analyzed and classified into 8 kinds of emotions by the FER algorithm. An online course containing 27 students conducted on Tencent Meeting is used to test the proposed method, and the result proved that this method performs robustly in different environments. This framework can also be applied to other similar scenarios such as online meetings.</text>
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                <text>2020</text>
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                <text>10.1155/2020/4065207</text>
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                <text>Complexity</text>
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                <text>Hindawi-Wiley</text>
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                <text>Electronic computers. Computer science</text>
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                <text>Quantitative Evaluation of Aerosol Generation from Non-contact Tonometry and its Correlation with Tear Film Characteristics.</text>
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            <name>Creator</name>
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              <elementText elementTextId="78146">
                <text>Weiting Hao, Jianhui Wu, Xinheng Zhao, Danni Liang, Xingchen Yu, Huazheng Cao, Yan Wang</text>
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                <text>Ophthalmologists are inevitably exposed to tears and ocular discharge during ophthalmologic examinations and are at high risk for SARS-CoV-2 infection. To understand the role of aerosols in disease transmission, we adopted a prospective cross-sectional study design and investigated the count and size distribution of aerosols generated by a non-contact tonometer and its correlation with individual tear film characteristics. This study constituted two parts. The study population included outpatients who underwent an intraocular pressure examination in an intraocular pressure examination room (Part I) and 20 participants who underwent an intraocular pressure examination in a laboratory (Part II). The following main outcomes were measured: aerosol counts at 0, 50, 100, 150, and 200 cm from the non-contact tonometer (Part I); aerosol counts after each participant underwent non-contact tonometry, and lipid layer thickness score and tear film break-up time (Part II). The aerosol count decreased with increasing distance from the tonometer. The aerosol count at 0 cm had the highest value compared to that at other distances. For aerosols of diameters 0.25-0.5 μm and 0.5-1.0 μm, the count decreased at 50 cm and remained stable at further distances. For aerosols of diameters 1.0-2.5 μm and ≥ 2.5 μm, the count dropped progressively at all five distances. The aerosol count from each tonometer correlated positively with the lipid layer thickness score (r = 0.490, P = 0.028), whereas the aerosol count correlated negatively with the tear film break-up time (r =  - 0.675, P = 0.001). Aerosols tended to coagulate during diffusion. A 50-cm distance from the tonometer could confer safety from aerosols with &lt; 1.0-μm diameter. Aerosols generated during non-contact tonometry could contain a lipid layer component. Moreover, tear film stability could affect aerosol generation. Protective eyewear is recommended for reducing infection risk from aerosols. Individual tear film characteristics should be considered during non-contact tonometry.</text>
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                <text>2021</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="78149">
                <text>covid-19, ophthalmology, aerosols, SARS-CoV-2, tear film, Non-contact tonometry</text>
              </elementText>
            </elementTextContainer>
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            <name>Identifier</name>
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              <elementText elementTextId="78150">
                <text>10.1007/s12325-021-01740-8</text>
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            </elementTextContainer>
          </element>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="78151">
                <text>Advances in therapy</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
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              <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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              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
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        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="16585">
                <text>The potential application of the traditional Chinese herb Exocarpium Citri grandis in the prevention and treatment of COVID-19</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="16586">
                <text>Weiwei Su, Yonggang Wang, Peibo Li, Hao Wu, Xuan Zeng, Rui Shi, Yuying Zheng, Panlin Li, Wei Peng</text>
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            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="16587">
                <text>Huajuhong (Exocarpium Citri grandis, ECG) is a traditional Chinese herbal medicine and has been used for the treatment of respiratory diseases for hundreds of years. Recently, ECG has been listed in a traditional Chinese medicine formula in the Guidelines for the Diagnosis and Treatment of Coronavirus Disease 2019 (sixth edition) in China. To date, the effect and mechanism of ECG against respiratory diseases have not been systematically reviewed. In this paper, the researchers summarized the effects of ECG and its pharmacologically active compound naringin in functioning as an antitussive and expectorant, improving lung function, alleviating acute lung injury, attenuating pulmonary fibrosis, and enhancing antiviral immune response, so as to provide a reference for its clinical application in the prevention and treatment of multiple respiratory diseases, including coronavirus disease 2019.</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="16588">
                <text>2020</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="16589">
                <text>huajuhong, Exocarpium Citri Grandis, Naringin, corona virus disease 2019, clinical application</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="16590">
                <text>DOI: doi:10.12032/TMR20200406172</text>
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            </elementTextContainer>
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            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="16591">
                <text>Traditional Medicine Research</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="16592">
                <text>Hong Kong Gold Orchid Science and Technology Co., Limited</text>
              </elementText>
            </elementTextContainer>
          </element>
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            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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              <elementText elementTextId="16593">
                <text>Medicine, Miscellaneous systems and treatments</text>
              </elementText>
            </elementTextContainer>
          </element>
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            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="16594">
                <text>EN</text>
              </elementText>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="1">
                  <text>Coronavirus</text>
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              </elementTextContainer>
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              <description>An account of the resource</description>
              <elementTextContainer>
                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
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              </elementTextContainer>
            </element>
          </elementContainer>
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      </elementSetContainer>
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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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    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="65283">
                <text>Risk Analysis and Crisis Management of Novel Coronavirus 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="65284">
                <text>Weixi Xu, Xuanhua Xu</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="65285">
                <text>After the outbreak of new coronavirus pneumonia, all regions have responded to take measures. Emergency decision-making plays an important role, directly related to the safety of the people, and more deeply will affect the future of the country. In this paper, we try to use the wisdom of large groups which are distributed in the social network to deal with the relevant indicators of the group big data decision-making model under the maximum likelihood estimation of the complementary judgment matrix, to establish the epidemic risk assessment system of infectious diseases, and to realize the group decision-making and risk analysis based on the big data.</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="65286">
                <text>2020</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="65287">
                <text>maximum likelihood estimation, Infectious disease risk, Complementary judgment matrix, big data decision-making</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="65288">
                <text>10.2991/jracr.k.200421.001</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="65289">
                <text>Epidemiology and Health</text>
              </elementText>
            </elementTextContainer>
          </element>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="65290">
                <text>Korean Society of Epidemiology</text>
              </elementText>
            </elementTextContainer>
          </element>
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            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
            <elementTextContainer>
              <elementText elementTextId="65291">
                <text>Engineering (General). Civil engineering (General), Risk in industry. Risk management</text>
              </elementText>
            </elementTextContainer>
          </element>
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    </elementSetContainer>
  </item>
  <item itemId="335" public="1" featured="0">
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              <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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                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
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            </element>
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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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    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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          <element elementId="50">
            <name>Title</name>
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                <text>Rapid Generation of Human-Like Neutralizing Monoclonal Antibodies in Urgent Preparedness for Influenza Pandemics and Virulent Infectious Diseases.</text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Weixu Meng, Weiqi Pan, Anna J. X. Zhang, Zhengfeng Li, Guo Weiwei, Li Qiang Feng, Zhenyuan Dong, Chufang Li, Xiangjing Hu, Caijun Sun, Qinfang Luo, Kwok-yung Yuen, Nanshan Zhong, Ling Chen</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="3093">
                <text>The outbreaks of emerging infectious diseases caused by pathogens such as SARS coronavirus, H5N1, H1N1, and recently H7N9 influenza viruses, have been associated with significant mortality and morbidity in humans. Neutralizing antibodies from individuals who have recovered from an infection confer therapeutic protection to others infected with the same pathogen. However, survivors may not always be available for providing plasma or for the cloning of monoclonal antibodies (mAbs).The genome and the immunoglobulin genes in rhesus macaques and humans are highly homologous; therefore, we investigated whether neutralizing mAbs that are highly homologous to those of humans (human-like) could be generated. Using the H5N1 influenza virus as a model, we first immunized rhesus macaques with recombinant adenoviruses carrying a synthetic gene encoding hemagglutinin (HA). Following screening an antibody phage display library derived from the B cells of immunized monkeys, we cloned selected macaque immunoglobulin heavy chain and light chain variable regions into the human IgG constant region, which generated human-macaque chimeric mAbs exhibiting over 97% homology to human antibodies. Selected mAbs demonstrated potent neutralizing activities against three clades (0, 1, 2) of the H5N1 influenza viruses. The in vivo protection experiments demonstrated that the mAbs effectively protected the mice even when administered up to 3 days after infection with H5N1 influenza virus. In particular, mAb 4E6 demonstrated sub-picomolar binding affinity to HA and superior in vivo protection efficacy without the loss of body weight and obvious lung damage. The analysis of the 4E6 escape mutants demonstrated that the 4E6 antibody bound to a conserved epitope region containing two amino acids on the globular head of HA.Our study demonstrated the generation of neutralizing mAbs for potential application in humans in urgent preparedness against outbreaks of new influenza infections or other virulent infectious diseases.</text>
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            <name>Date</name>
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              <elementText elementTextId="3094">
                <text>2013</text>
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            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="3095">
                <text>DOI: 10.1371/journal.pone.0066276</text>
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            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="3096">
                <text>PLoS ONE</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="3097">
                <text>Public Library of Science (PLoS)</text>
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                <text>Science, Medicine</text>
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            <description>A language of the resource</description>
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                <text>EN</text>
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              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Agricultura sostenible</text>
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              <name>Description</name>
              <description>An account of the resource</description>
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                <elementText elementTextId="88122">
                  <text>Dominio científico: Agricultura sostenible</text>
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      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
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                <text>PRODUÇÃO DE FEIJÃO CAUPI EM FUNÇÃO DE DIFERENTES DOSAGENS E CONCENTRAÇÃO DE BIOFERTILIZANTES</text>
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            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="160162">
                <text>Welder de Araújo Rangel Lopes, Samara Sibelle Vieira Alves, Andréa Celina Ferreira Demartelaere, Simone Vieira Alves</text>
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            <description>An account of the resource</description>
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                <text>Com o objetivo de avaliar a produção do feijão caupi sob diferentes dosagens e concentrações de biofertilizantes foi realizado um experimento no Centro de Ciências Humanas e Agrárias, da Escola Agrotécnica do Cajueiro, UEPB, Catolé do Rocha/PB. Este experimento foi delineado em esquema fatorial 5x5, em blocos casualizados completos, com 4 repetições. Foram estudados os efeitos de 5 doses (0, 25, 50, 100 e 150 ml/planta) aplicadas no solo, e de 5 concentrações de biofertilizantes (0, 40, 80, 120 e 160 ml/L) aplicados via foliar. As características avaliadas foram: Número de vagens (NV); Número de grãos por vagem (NGV); Peso de 100 sementes (P100). A aplicação do fertilizante, na dosagem de 50 mL proporcionou os melhores resultados para o número de vagens, número de grãos/planta, número de grãos/vagem e peso de 100 sementes. As maiores médias foram encontradas com as maiores concentrações de biofertilizantes, aplicados via foliar. A concentração de 120 mL proporcionou melhores resultados para a variável número de folhas. A concentração de 160 mL promoveu melhores resultados para número de vagens, e peso de 100 sementes. Já a variável número de grãos/vagem apresentou maior rendimento sem aplicação de biofertilizante e maior número de grãos por planta foi encontrado com a aplicação do biofertilizante na concentração de 40 mL.</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>2009</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
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                <text>Vigna unguiculata (L.), biofertilizante, produtividade</text>
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          </element>
          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="160166">
                <text>Revista Verde de Agroecologia e Desenvolvimento Sustentável</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="160167">
                <text>Grupo Verde de Agroecologia e Abelhas (GVAA)</text>
              </elementText>
            </elementTextContainer>
          </element>
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            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
            <elementTextContainer>
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                <text>Agriculture (General), Geography. Anthropology. Recreation, Environmental sciences</text>
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            </elementTextContainer>
          </element>
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            <name>Relation</name>
            <description>A related resource</description>
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              <elementText elementTextId="160169">
                <text>&lt;a href="https://www.gvaa.com.br/revista/index.php/RVADS/article/view/195" target="_blank" rel="noreferrer noopener"&gt;https://www.gvaa.com.br/revista/index.php/RVADS/article/view/195&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="88121">
                  <text>Agricultura sostenible</text>
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            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
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                  <text>Dominio científico: Agricultura sostenible</text>
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      <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>
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                <text>Gestão socioambiental na comunidade de remanescentes quilombolas de Cruz em Alagoas</text>
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          <element elementId="39">
            <name>Creator</name>
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              <elementText elementTextId="193745">
                <text>Wellington Amâncio da Silva, Feliciano de Mira</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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                <text>This paper analyzes the theoretical basis of Epistemology discipline of Environmental Management for its contribution to reflection and environmental practice in satisfaction of the Brazilian semi-arid northeast, specifically in the village quilombo Cruz, in the context of classes taught in the Graduate Program in Ecology human; analyze their possible contributions to the epistemological reflection in the face of monoculture of knowledge and logic in overcoming process; it is intended to also present some environmental aspects, the quilombo studied from the point of view of knowledge of ecology. Finally, we present some research results carried out in the quilombo of the Village Cross in Delmiro Gouveia, State of Alagoas, Brazil - research took into account the deals of the community, their mode of production and living as man interaction processes-environment (MORAN 1999, 2008, 2010, 2011; LEFF, 2010, 2012).O presente artigo analisa o aporte teórico da disciplina Epistemologia da Gestão Socioambiental em sua contribuição à reflexão e à práxis socioambiental no semiárido nordestino brasileiro, especificamente no povoado quilombola Cruz, no contexto das aulas ministradas no programa de Pós-Graduação em Ecologia Humana; analisar suas possíveis contribuições à reflexão epistemológica em face da monocultura do saber como lógica em processo de superação; visa, ainda, apresentar alguns aspectos socioambientais da comunidade quilombola estudados do ponto de vista da ecologia de saberes. Por fim, apresentaremos alguns resultados de pesquisa efetivada na comunidade quilombola do Povoado Cruz, em Delmiro Gouveia, estado de Alagoas, Brasil – a pesquisa levou em consideração a lida da comunidade, seu modo de produção e subsistência como processos de interação homem/ambiente (MORAN, 1999, 2008, 2010, 2011; LEFF, 2010, 2012).</text>
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                <text>2016</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="193748">
                <text>comunidades quilombolas, ecología humana, environmental management, gestão socioambiental, human ecology</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="193749">
                <text>10.14244/198271991771	</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="193750">
                <text>Revista Eletrônica de Educação</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="193751">
                <text>Universidade Federal de São Carlos</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="193752">
                <text>Special aspects of education, Education</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="46">
            <name>Relation</name>
            <description>A related resource</description>
            <elementTextContainer>
              <elementText elementTextId="193753">
                <text>&lt;a href="http://www.reveduc.ufscar.br/index.php/reveduc/article/view/1771/515" target="_blank" rel="noreferrer noopener"&gt;http://www.reveduc.ufscar.br/index.php/reveduc/article/view/1771/515&lt;/a&gt;</text>
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