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                  <text>Agricultura sostenible</text>
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                  <text>Dominio científico: Agricultura sostenible</text>
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                <text>DESERTIFICACIÓN Y DEGRADACIÓN AMBIENTAL: CONTEXTO Y PRÁCTICAS EN LA ESCUELA FAMÍLIA AGRÍCOLA DOM FRAGOSO – BRASIL</text>
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                <text>Ana Cristyanne Fernandes Bonfim, Lia Pinheiro Barbosa, David Dias Machado, Marcelo Campêlo Dantas</text>
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                <text>El Estado de Ceará, en el noreste de Brasil, se destaca por tener áreas susceptibles a la desertificación. Dichas áreas reciben mayor atención con los procesos de deterioro en razón del avance de la degradación ambiental. La investigación busca averiguar el conocimiento de alumnos de la Escuela Familia Agrícola (EFA) Dom Fragoso, localizada en la ciudad de Independencia – Ceará, en el noreste brasileño, sobre el proceso actual de degradación del medio ambiente, causas y consecuencias. Para recompilar los datos, se aplicó un cuestionario con preguntas para 90 estudiantes de la EFA. Los entrevistados tienen una concientización de que la acción del ser humano constituye el factor principal que influencia el cambio climático, a partir de la extracción y explotación de los recursos naturales. Las principales acciones que creen ser importantes para la mitigación de los impactos del cambio climático son el desarrollo de educación ambiental y la movilización social. Se observa, con las indagaciones de los estudiantes, que la educación contextualizada, la interdisciplinariedad de los contenidos y prácticas de campo permiten una mejor comprensión, a partir del cambio en el contexto teórico y práctico.</text>
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                <text>2018</text>
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                <text>Acción Humana, educación contextual, proceso de enseñanza y aprendizaje, región semiárida</text>
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                <text>Holos</text>
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                <text>Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Norte</text>
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                <text>General Works</text>
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                  <text>Agricultura sostenible</text>
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                  <text>Dominio científico: Agricultura sostenible</text>
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                <text>Desestruturar para construir: interfaces para a agricultura familiar acessar o programa de alimentação escolar</text>
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                <text>Sergio Schneider, Rozane Márcia Triches</text>
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            <description>An account of the resource</description>
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                <text>Este artigo buscou demonstrar as barreiras existentes e as interfaces necessárias para a efetivação da compra de gêneros da agricultura familiar para a alimentação escolar. Verificaram-se três principais questões: burocracia das aquisições públicas, organização dos agricultores e formalização das agroindústrias. A adaptação das regras jurídicas aos processos de aquisição pública ocorreu a partir da contestação pelas regras morais e pelo poder do gestor. A participação do agricultor nos trâmites licitatórios esteve relacionada aos processos organizativos formais e informais. As interfaces de conhecimento foram fundamentais para transpor as barreiras de entrada determinadas pelas exigências de formalização das agroindústrias.</text>
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            <name>Date</name>
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                <text>2013</text>
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                <text>Estudos Sociedade e Agricultura</text>
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            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="146310">
                <text>Universidade Federal Rural do Rio de Janeiro</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>Agriculture (General), Agricultural industries, Land use</text>
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                <text>&lt;a href="https://revistaesa.com/ojs/index.php/esa/article/view/349" target="_blank" rel="noreferrer noopener"&gt;https://revistaesa.com/ojs/index.php/esa/article/view/349&lt;/a&gt;</text>
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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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                  <text>Dominio científico: Agricultura sostenible</text>
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      <name>Text</name>
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                <text>DESIGN &amp; O VIR A SER: FUNDAMENTOS DE EDUCAÇÃO E ECOLOGIA ORIENTADOS PARA UM MUNDO EM TRANSFORMAÇÃO.</text>
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              <elementText elementTextId="174928">
                <text>Marli Teresinha Everling, João Eduardo Chagas Sobral, Anna Luiza Morais de Sá Cavalcanti</text>
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            <description>An account of the resource</description>
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                <text>O artigo visa aprofundar conceitos relacionados a educação, ecologia e design no intuito de fundamentar ações educacionais e de capacitação profissional conduzidas no âmbito do Programa de Pós-Graduação em Design da Universidade da Região de Joinville (PPGDesign/Univille) por meio dos projetos ETHOS (Design e relações de uso), ÍRIS (A imagem fotográfica e as ferramentas de concepção e desenvolvimento de projetos de artefatos tridimensionais), RE-CRIAR (As dimensões criativas do design para a sustentabilidade), e, DESUS (Estudos e Ações Orientados para o Design, Sustentabilidade e Inovação Social)  que atuam em colaboração por meio dos grupos HOMERO#3D (orientado para aspectos cognitivos e necessidades de pessoas cegas) e LECid (Laboratório de Estudos em Design Cidade). A metodologia considerou a revisão de abordagens ecológicas e educacionais (conectadas com os objetivos da discussão). Os resultados apontam para a integração dos  processos do design e da educação como estratégia de preparação e auto-educação dos cidadãos para a cultura do cuidado, bem como, o  potencial do design como agente da transformação requerida para a manutenção da vida e para o estabelecimento de consensos (ideacionais e comportamentais) que propiciem uma cultura material mais adequada em termos ecológicos (não apenas para a vida humana mas a biodiversidade).</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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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>Educação, design, ecología</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="174932">
                <text>10.29183/2447-3073.MIX2020.v6.n1.135-143</text>
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            <name>Source</name>
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                <text>Mix Sustentável</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="174934">
                <text>Universidade Federal de Santa Catarina - UFSC</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>Engineering (General). Civil engineering (General), Architecture</text>
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            <description>A related resource</description>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
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              <name>Description</name>
              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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    <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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        <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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              <elementText elementTextId="9494">
                <text>Design and analysis of mismatch probes for long oligonucleotide microarrays</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="9495">
                <text>Van Nostrand Joy D, He Zhili, Deng Ye, Zhou Jizhong</text>
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                <text>Abstract Background Nonspecific hybridization is currently a major concern with microarray technology. One of most effective approaches to estimating nonspecific hybridizations in oligonucleotide microarrays is the utilization of mismatch probes; however, this approach has not been used for longer oligonucleotide probes. Results Here, an oligonucleotide microarray was constructed to evaluate and optimize parameters for 50-mer mismatch probe design. A perfect match (PM) and 28 mismatch (MM) probes were designed for each of ten target genes selected from three microorganisms. The microarrays were hybridized with synthesized complementary oligonucleotide targets at different temperatures (e.g., 42, 45 and 50°C). In general, the probes with evenly distributed mismatches were more distinguishable than those with randomly distributed mismatches. MM probes with 3, 4 and 5 mismatched nucleotides were differentiated for 50-mer oligonucleotide probes hybridized at 50, 45 and 42°C, respectively. Based on the experimental data generated from this study, a modified positional dependent nearest neighbor (MPDNN) model was constructed to adjust the thermodynamic parameters of matched and mismatched dimer nucleotides in the microarray environment. The MM probes with four flexible positional mismatches were designed using the newly established MPDNN model and the experimental results demonstrated that the redesigned MM probes could yield more consistent hybridizations. Conclusion This study provides guidance on the design of MM probes for long oligonucleotides (e.g., 50 mers). The novel MPDNN model has improved the consistency for long MM probes, and this modeling method can potentially be used for the prediction of oligonucleotide microarray hybridizations.</text>
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                <text>2008</text>
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                <text>DOI: 10.1186/1471-2164-9-491</text>
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            <description>A related resource from which the described resource is derived</description>
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                <text>BMC Genomics</text>
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                <text>BMC</text>
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                <text>Genetics, Biotechnology</text>
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            <description>A language of the resource</description>
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                <text>EN</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Design and Construction of Chimeric VP8-S2 Antigen for Bovine Rotavirus and Bovine Coronavirus</text>
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                <text>Khadijeh  Nasiri, Mohammad Reza Nassiri, Mojtaba Tahmoorespour, Alireza Haghparast, Saeed Zibaee</text>
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            <description>An account of the resource</description>
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                <text>Purpose: Bovine Rotavirus and Bovine Coronavirus are the most important causes of diarrhea in newborn calves and in some other species such as pigs and sheep. Rotavirus VP8 subunit is the major determinant of the viral infectivity and neutralization. Spike glycoprotein of coronavirus is responsible for induction of neutralizing antibody response. Methods: In the present study, several prediction programs were used to predict B and T-cells epitopes, secondary and tertiary structures, antigenicity ability and enzymatic degradation sites. Finally, a chimeric antigen was designed using computational techniques. The chimeric VP8-S2 antigen was constructed. It was cloned and sub-cloned into pGH and pET32a(+) expression vector. The recombinant pET32a(+)-VP8-S2 vector was transferred into E.oli BL21CodonPlus (DE3) as expression host. The recombinant VP8-S2 protein was purified by Ni-NTA chromatography column. Results: The results of colony PCR, enzyme digestion and sequencing showed that the VP8-S2 chimeric antigen has been successfully cloned and sub-cloned into pGH and pET32a(+).The results showed that E.coli was able to express VP8-S2 protein appropriately. This protein was expressed by induction of IPTG at concentration of 1mM and it was confirmed by Ni–NTA column, dot-blotting analysis and SDS-PAGE electrophoresis. Conclusion: The results of this study showed that E.coli can be used as an appropriate host to produce the recombinant VP8-S2 protein. This recombinant protein may be suitable to investigate to produce immunoglobulin, recombinant vaccine and diagnostic kit in future studies after it passes biological activity tests in vivo in animal model and or other suitable procedure.</text>
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                <text>2016</text>
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                <text>Bovine rotavirus, Bovine coronavirus, epitope, expression, recombinant protein</text>
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                <text>DOI: 10.15171/apb.2016.014</text>
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            <description>A related resource from which the described resource is derived</description>
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                <text>Advanced Pharmaceutical Bulletin</text>
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            </elementTextContainer>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="4085">
                <text>Tabriz University of Medical Sciences</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>Therapeutics. Pharmacology</text>
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            </elementTextContainer>
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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>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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              </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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            <description>A name given to the resource</description>
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                <text>Design and Development of an Internet of Smart Cameras Solution for Complex Event Detection in COVID-19 Risk Behaviour Recognition</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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                <text>Sara Saeedi, Sepehr Honarparvar, Steve Liang, Jeremy Squires</text>
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            <description>An account of the resource</description>
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                <text>Emerging deep learning (DL) approaches with edge computing have enabled the automation of rich information extraction, such as complex events from camera feeds. Due to the low speed and accuracy of object detection, some objects are missed and not detected. As objects constitute simple events, missing objects result in missing simple events, thus the number of detected complex events. As the main objective of this paper, an integrated cloud and edge computing architecture was designed and developed to reduce missing simple events. To achieve this goal, we deployed multiple smart cameras (i.e., cameras which connect to the Internet and are integrated with computerised systems such as the DL unit) in order to detect complex events from multiple views. Having more simple events from multiple cameras can reduce missing simple events and increase the number of detected complex events. To evaluate the accuracy of complex event detection, the F-score of risk behaviour regarding COVID-19 spread events in video streams was used. The experimental results demonstrate that this architecture delivered 1.73 times higher accuracy in event detection than that delivered by an edge-based architecture that uses one camera. The average event detection latency for the integrated cloud and edge architecture was 1.85 times higher than that of only one camera. However, this finding was insignificant with regard to the current case study. Moreover, the accuracy of the architecture for complex event matching with more spatial and temporal relationships showed significant improvement in comparison to the edge computing scenario. Finally, complex event detection accuracy considerably depended on object detection accuracy. Regression-based models, such as you only look once (YOLO), were able to provide better accuracy than region-based models.</text>
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            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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                <text>2021</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>covid-19, internet of things, Video streaming, smart camera, Edge Processing, complex event detection</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>10.3390/ijgi10020081</text>
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            <description>A related resource from which the described resource is derived</description>
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                <text>Epidemiology and Health</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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                <text>Korean Society of Epidemiology</text>
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            </elementTextContainer>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Geography (General)</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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              <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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                <text>Design and Implementation of a Multi-Band Active Radar Calibrator for SAR</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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                <text>Liang Li, Gukun Liu, Jun Hong, Feng Ming, Yu Wang</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Over the past decade, IECAS (Institute of Electronics, Chinese Academy of Sciences) has developed a set of L-, S-, C-, and X-band active radar calibrators that are deployed during the calibration campaigns for HJ1C synthetic aperture radar (SAR), Gaofen-3 SAR, and so on. In the near future, P-band and Ka-band spaceborne SARs will be launched. We found that it is not convenient to develop special active radar calibrators (ARCs) for a specific SAR or a specific frequency band SAR, and the acquired experience could help in the design and development of a multi-band ARC. This paper describes the design and implementation of a multi-band active radar calibrator which can operate in the L-, C-, X-, and Ka-bands. Moreover, laboratory measurements are performed to characterize the performance of the multi-band ARC, paying particular attention to the gain stability, the system transfer function, the gain flatness, and the linearity of the ARC receiver. Three such ARCs are developed, and to our knowledge, the multi-band ARC is the first of its kind in China or even in the world, and it can be used to implement the calibration campaigns of the Chinese Gaofen-3 SAR, Shenzhen-1 SAR, Luojia-2 SAR, and so on.</text>
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            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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                <text>2019</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>multi-band, Transponder, active radar calibrator, calibration, SAR</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>
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                <text>DOI: 10.3390/rs11111312</text>
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            <description>A related resource from which the described resource is derived</description>
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                <text>Remote Sensing</text>
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            <description>An entity responsible for making the resource available</description>
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                <text>MDPI AG</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>Science</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>Dominio científico: Coronavirus</text>
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                <text>Design and manufacturability data on additively manufactured solutions for COVID-19.</text>
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                <text>Jordan S. Masia, Joseph T. Berthel, Nicholas A. Meisel, Rohan Prabhu, Timothy W Simpson</text>
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                <text>Designers around the world have leveraged the rapid prototyping and manufacturing capabilities of additive manufacturing (AM), commonly known as 3D printing, to develop numerous engineering design solutions for the COVID-19 pandemic. This dataset consists of the design and manufacturability data for twenty-six such engineering design solutions spanning three categories: (1) face masks (N = 12), (2) face shields (N = 6), and (3) hands-free door openers (N = 8). The designs were collected from open-source websites such as Thingiverse, GrabCAD, and the NIH 3D Print Exchange. The manufacturability of these designs was simulated using Ultimaker Cura software and three measures were obtained: (1) build time, (2) build cost, and (3) build material. Furthermore, these simulations were performed for multiple materials and infill densities for comparison. Additionally, the manufacturing cost using injection molding was simulated using the Cost Estimation Tool in Solidworks. This dataset comprises (1) the STL files for the designs, (2) the simulated manufacturability data (for additive manufacturing and injection molding), and (3) images that depict the build orientation used in these manufacturability simulations. This dataset can facilitate the development of future innovations that leverage the capabilities of AM processes. Furthermore, this dataset can be used by designers and manufacturers to compare solutions and choose appropriate ones for manufacturing.</text>
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                <text>covid-19, 3D printing, additive manufacturing, engineering design, manufacturability</text>
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                <text>10.1016/j.dib.2021.107012</text>
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                <text>Data in brief</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Design and Psychometric Analysis of the COVID-19 Prevention, Recognition and Home-Management Self-Efficacy Scale</text>
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                <text>José Manuel Hernández-Padilla, José Granero-Molina, María Dolores Ruiz-Fernández, Iria Dobarrio-Sanz, María Mar López-Rodríguez, Isabel María Fernández-Medina, Matías Correa-Casado, Cayetano Fernández-Sola</text>
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                <text>In order to control the spread of COVID-19, people must adopt preventive behaviours that can affect their day-to-day life. People’s self-efficacy to adopt preventive behaviours to avoid COVID-19 contagion and spread should be studied. The aim of this study was to develop and psychometrically test the COVID-19 prevention, detection, and home-management self-efficacy scale (COVID-19-SES). We conducted an observational cross-sectional study. Six-hundred and seventy-eight people participated in the study. Data were collected between March and May 2020. The COVID-19-SES’ validity (content, criterion, and construct), reliability (internal consistency and test-retest reliability), and legibility were studied. The COVID-19-SES’ reliability was high (Cronbach’s alpha = 0.906; intraclass correlation coefficient = 0.754). The COVID-19-SES showed good content validity (scale’s content validity index = 0.92) and good criterion validity when the participants’ results on the COVID-19-SES were compared to their general self-efficacy (r = 0.38; p &lt; 0.001). Construct validity analysis revealed that the COVID-19-SES’ three-factor structure explained 52.12% of the variance found and it was congruent with the World Health Organisation’s recommendations to prevent COVID-19 contagion and spread. Legibility analysis showed that the COVID-19-SES is easy to read and understand by laypeople. The COVID-19-SES is a psychometrically robust instrument that allows for a valid and reliable assessment of people’s self-efficacy in preventing, detecting symptoms, and home-managing COVID-19.</text>
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            <name>Date</name>
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                <text>2020</text>
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            <name>Subject</name>
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                <text>covid-19, Self-Efficacy, Psychometrics</text>
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            <name>Identifier</name>
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                <text>10.3390/ijerph17134653</text>
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            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="66830">
                <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="66831">
                <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>Medicine</text>
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            <element elementId="50">
              <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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                  <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>
            <description>A name given to the resource</description>
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                <text>Design e agricultura familiar: proposta de estrutura para cultivo protegido</text>
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            <name>Creator</name>
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                <text>Danieli Maehler Nejeliski, Carolina Iuva de Mello</text>
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            <description>An account of the resource</description>
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                <text>Analisando-se as estruturas para cultivo protegido de hortaliças utilizadas na cidade de Santa Maria e região, constatou-se que a maioria dos produtores utilizam estruturas artesanais, muitas vezes inadequadas às suas necessidades, por falta de instalações industriais adequadas. A partir dessas informações, foi projetada uma nova estrutura para cultivo protegido, demonstrando o promissor papel do design como facilitador do desenvolvimento local.</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>2013</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="214120">
                <text>Agricultura Familiar, cultivo protegido, design</text>
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            <description>A related resource from which the described resource is derived</description>
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                <text>Interações (Campo Grande)</text>
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            <name>Publisher</name>
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                <text>Universidade Católica Dom Bosco</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>Social sciences (General)</text>
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                <text>&lt;a href="http://www.scielo.br/pdf/inter/v14n1/05.pdf" target="_blank" rel="noreferrer noopener"&gt;http://www.scielo.br/pdf/inter/v14n1/05.pdf&lt;/a&gt;</text>
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