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                  <text>Agricultura sostenible</text>
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                  <text>Dominio científico: Agricultura sostenible</text>
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                <text>&lt;b&gt;Produção de mudas de espécies forrageiras no sistema hidropônico de leito flutuante (&lt;em&gt;floating&lt;/em&gt;) com solução nutritiva à base de biofertilizante ou adubo solúvel&lt;/b&gt; - DOI: 10.4025/actascianimsci.v31i4.4290 &lt;b&gt;Production of seedlings of forage species in floating hydroponics system with biofertilizer or soluble fertilizer&lt;/b&gt; - DOI: 10.4025/actascianimsci.v31i4.7459</text>
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                <text>Júlio Graeff Erpen, Sérgio Augusto Ferreira de Quadros, Ricardo Probst, Mário Luiz Vincenzi</text>
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                <text>Neste trabalho objetivou-se avaliar a sobrevivência das estacas e a produção de matéria seca na fase de cultivo de mudas das espécies forrageiras missioneira gigante (Axonopus catharinensis), amendoim forrageiro (Arachis pintoi) e maku (Lotus uliginosus cv. Maku). No sistema hidropônico de leito flutuante com solução nutritiva à base de biofertilizante ou adubo solúvel. O delineamento experimental adotado foi o de blocos ao acaso em esquema fatorial 3 x 2, sendo três espécies forrageiras e duas soluções nutritivas. As espécies não apresentaram diferença quanto à sobrevivência (p = 0,225), independentemente do tipo de fertilizante (p = 0,92). No entanto, quando se quantificou a produção de MS planta-1 proporcionada por cada uma dessas espécies, o maku (p = 0,001) obteve as maiores quantidades (47,18 g), enquanto o amendoim forrageiro (19,90 g) e a missioneira gigante (16,81 g) foram semelhantes entre si (p = 0,227), tendo o mesmo ocorrido entre os fertilizantes (p = 0,559). Deste modo, as três espécies possuem condições semelhantes de sobrevivência, independentemente da concentração de nutrientes da solução nutritiva, com o maku proporcionando a maior produção de MS planta-1.Production of seedlings of forage species in floating hydroponics system with biofertilizer or soluble fertilizer. The aim of this work was to evaluate the survival and dry matter production during the seedling culture phase of three forage species: Axonopus catharinensis, forage peanut (Arachis pintoi), and greater lotus (Lotus uliginosus cv. Maku), in a floating hydroponic system using biofertilizer or soluble fertilizer. The experimental design adopted was randomized blocks in a 3 x 2 factorial scheme, with three forage species and two fertilizers. There was no difference between species with regard to survival (p = 0.225), regardless of the fertilizer used (p = 0.92). However, when dry matter production was considered, Maku (p = 0,001) showed greater weight (47.18 g), while there was no difference (p = 0.227) in weight between Arachis pintoi (19.90 g) and Axonopus catharinensis (16.81 g) or between fertilizers (p = 0.559). Thus, all three forage species have similar survival conditions, regardless of nutrient concentration of the fertilizer, and Maku had greater dry matter production.</text>
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                <text>2009</text>
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            <description>The topic of the resource</description>
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                <text>Hidroponia, Maku, amendoim-forrageiro, missioneira gigante (Axonopus catharinensis), pastagem</text>
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                <text>10.4025/actascianimsci.v31i4.7459</text>
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                <text>Acta Scientiarum: Animal Sciences</text>
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                <text>Editora da Universidade Estadual de Maringá (Eduem)</text>
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                <text>Animal culture</text>
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                <text>&lt;a href="http://www.periodicos.uem.br/ojs/index.php/ActaSciAnimSci/article/view/7459" target="_blank" rel="noreferrer noopener"&gt;http://www.periodicos.uem.br/ojs/index.php/ActaSciAnimSci/article/view/7459&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>Title</name>
            <description>A name given to the resource</description>
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                <text>&lt;b&gt;Remoção de metais pesados tóxicos cádmio, chumbo e cromo em biofertilizante suíno utilizando macrófita aquática (&lt;em&gt;Eichornia crassipes&lt;/em&gt;) como bioindicador&lt;/b&gt; - DOI: 10.4025/actascitechnol.v30i1.3179</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="148340">
                <text>Affonso Celso Gonçalves Júnior, Cleber Antonio Lindino, Mauricio Ferreira da Rosa, Reinaldo Bariccatti, Gilmar Divino Gomes</text>
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            <description>An account of the resource</description>
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                <text>Este trabalho objetivou avaliar a eficiência da macrófita aquática (Eichornia crassipes) como bioindicador e alternativa na remoção dos metais pesados tóxicos Cd, Pb e Cr em biofertilizante de origem suína. Foi utilizado o esquema fatorial 2x4, sendo os fatores representados pelas partes da planta (aérea e raiz), e pelos quatro tratamentos. Na instalação do experimento coletou-se uma alíquota da solução de cada tratamento para determinar as concentrações iniciais dos metais e, após 30 dias de cultivo, as plantas foram retiradas, coletando-se novamente uma alíquota da solução de cada tratamento. As plantas foram separadas em parte aérea e raiz, secas e trituradas. A macrófita apresentou-se eficiente na remoção dos metais pesados, observou-se que o sistema radicular da macrófita apresentou maiores concentrações de Cd, Pb e Cr. Com este trabalho, conclui-se que a macrófita aquática (Eichornia crassipes) pode ser uma alternativa para o tratamento de biofertilizante e dejetos provenientes da suinocultura</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>2008</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>Suinocultura, plantas aquáticas, poluentes, tratamento de dejetos</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>10.4025/actascitechnol.v30i1.3179</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="148345">
                <text>Acta Scientiarum: Technology</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="148346">
                <text>Universidade Estadual de Maringá</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>Engineering (General). Civil engineering (General), Science (General)</text>
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            <name>Relation</name>
            <description>A related resource</description>
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                <text>&lt;a href="http://periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/3179" target="_blank" rel="noreferrer noopener"&gt;http://periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/3179&lt;/a&gt;</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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                  <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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            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>&lt;b&gt;Sistemas de criação para o acará-bandeira (&lt;em&gt;Pterophyllum scalare&lt;/em&gt;)&lt;/b&gt; - DOI: 10.4025/actascianimsci.v30i4.685 &lt;b&gt;Culture systems for freshwater angelfish (&lt;em&gt;Pterophyllum scalare&lt;/em&gt;)&lt;/b&gt; - DOI: 10.4025/actascianimsci.v30i4.685</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="170138">
                <text>Felipe de Azevedo Silva Ribeiro, Bruno de Lima Preto, João Batista Kochenborger Fernandes</text>
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                <text>Este trabalho objetivou comparar o desempenho produtivo de acarás-bandeira criados em aquários e em hapas em viveiros escavados dentro de estufa plástica em monocultivo e policultivo com camarão-da-amazônia, em duas densidades de estocagem (1,6 e 3,2 peixes 10-1 L). Utilizou-se delineamento inteiramente casualizado, em esquema fatorial 3x2, correspondendo a três sistemas de produção e duas densidades de estocagem, com quatro repetições por tratamento. Anova e teste de Tukey foram aplicados aos dados (α = 0,05). Os peixes produzidos nos viveiros em monocultivo e policultivo apresentaram mais que o dobro de ganho de peso, menor consumo de ração, melhor conversão alimentar, maior comprimento-padrão e uniformidade do lote em relação aos peixes mantidos em aquários. A produção em aquários apresentou menor sobrevivência que o monocultivo. O aumento da densidade reduziu o ganho de peso, o comprimento-padrão e o fator de condição, independentemente do sistema usado. A biomassa não apresentou diferença entre as densidades nos aquários e aumentou com a densidade nos tratamentos mono e policultivo. O peso médio e a sobrevivência final dos camarões no sistema semi-intensivo em policultivo foram 1,66 g e 84,4%, respectivamente. Pelos melhores resultados de crescimento, a densidade 1,6 peixe 10 L-1 é melhor para a criação do acará-bandeira do que 3,2 peixes 10 L-1. O acará-bandeira pode ser produzido em hapas em sistema semi-intensivo em mono ou policultivo com camarão-da-amazônia, com melhor desempenho do que em sistema intensivo em aquários.The present study aimed to compare three production systems for freshwater angelfish: intensive indoor aquarium, semi-intensive greenhoused earth pond (monoculture) and greenhoused earth pond in polyculture with Amazon River prawn. Two stock densities were also tested: 1.6 and 3.2 fish 10 L-1. The experimental design was entirely randomized, in a 3x2 factorial scheme, with four replicates. ANOVA and Tukey’s test were used (α = 0.05). Fish from monoculture and polyculture systems showed over twice the weight gain, lower food consumption, better food conversion rate, bigger standard length and group uniformity than the fish maintained in aquariums. The aquarium system showed lower survival than monoculture. The stock density increase reduced the weight gain, standard length and body condition in all culture systems. The interaction analysis for biomass was statistical significance, showing no difference between the densities inside aquarium and increasing with density within mono and polyculture ponds. In polyculture, mean final weight and survival of Amazon river prawns were 1.66 g e 84.4%, respectively. Due to better growth results, density of 1.6 fish 10 L-1 is better than 3.2 fish 10 L-1. Freshwater angelfish can be produced better in hapas on monocultured or polycultured semi-intensive compared to indoor aquariums system.</text>
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                <text>2009</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>Peixes ornamentais, camarão de água doce, hapas, policultivo, sistema intensivo, sistema semi-intensivo</text>
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                <text>10.4025/actascianimsci.v30i4.685</text>
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                <text>Acta Scientiarum: Animal Sciences</text>
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                <text>Editora da Universidade Estadual de Maringá (Eduem)</text>
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                <text>&lt;a href="http://www.periodicos.uem.br/ojs/index.php/ActaSciAnimSci/article/view/685" target="_blank" rel="noreferrer noopener"&gt;http://www.periodicos.uem.br/ojs/index.php/ActaSciAnimSci/article/view/685&lt;/a&gt;</text>
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        <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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            <description>A name given to the resource</description>
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                <text>&lt;em&gt;Lost in Translation&lt;/em&gt;: Sesgos y la información en la pandemia de COVID-19</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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                <text>Juan Pablo Valenzuela, David Torres P.</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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              <elementText elementTextId="31272">
                <text>Comunicación, sesgo, factores de confusión</text>
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            </elementTextContainer>
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          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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                <text>DOI: 10.25237/revchilanestv49n03.019</text>
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          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="31274">
                <text>Revista Chilena de Anestesia</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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                <text>Editorial Iku</text>
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            </elementTextContainer>
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              <elementText elementTextId="31276">
                <text>Medicine, Anesthesiology</text>
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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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      </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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            <name>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="38029">
                <text>&lt;i&gt;#lockdown&lt;/i&gt;: Network-Enhanced Emotional Profiling in the Time of COVID-19</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="38030">
                <text>Massimo Stella, Valerio Restocchi, Simon De Deyne</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="38031">
                <text>The COVID-19 pandemic forced countries all over the world to take unprecedented measures, like nationwide lockdowns. To adequately understand the emotional and social repercussions, a large-scale reconstruction of how people perceived these unexpected events is necessary but currently missing. We address this gap through social media by introducing MERCURIAL (Multi-layer Co-occurrence Networks for Emotional Profiling), a framework which exploits linguistic networks of words and hashtags to reconstruct social discourse describing real-world events. We use MERCURIAL to analyse 101,767 tweets from Italy, the first country to react to the COVID-19 threat with a nationwide lockdown. The data were collected between the 11th and 17th March, immediately after the announcement of the Italian lockdown and the WHO declaring COVID-19 a pandemic. Our analysis provides unique insights into the psychological burden of this crisis, focussing on—(i) the Italian official campaign for self-quarantine (#iorestoacasa), (ii) national lockdown (#italylockdown), and (iii) social denounce (#sciacalli). Our exploration unveils the emergence of complex emotional profiles, where anger and fear (towards political debates and socio-economic repercussions) coexisted with trust, solidarity, and hope (related to the institutions and local communities). We discuss our findings in relation to mental well-being issues and coping mechanisms, like instigation to violence, grieving, and solidarity. We argue that our framework represents an innovative thermometer of emotional status, a powerful tool for policy makers to quickly gauge feelings in massive audiences and devise appropriate responses based on cognitive data.</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="38032">
                <text>2020</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="38033">
                <text>Cognitive Science, social media, Network Science, COVID-19, emotional profiling, hashtag networks</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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              <elementText elementTextId="38034">
                <text>DOI: 10.3390/bdcc4020014</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="38035">
                <text>Big Data and Cognitive Computing</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="38036">
                <text>MDPI AG</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>
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              <elementText elementTextId="38037">
                <text>Technology</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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              </elementTextContainer>
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      <name>Text</name>
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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="211193">
                <text>&lt;i&gt;Arcopilus aureus&lt;/i&gt; MaC7A as a New Source of Resveratrol: Assessment of Amino Acid Precursors, Volatiles, and Fungal Enzymes for Boosting Resveratrol Production in Batch Cultures</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="211194">
                <text>Omar Romero-Arenas, Nemesio Villa-Ruano, Luis  Ángel Morales-Mora, Jenaro  Leocadio Varela-Caselis, Antonio Rivera, María  de los Ángeles Valencia de Ita</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="211195">
                <text>The chemical factors that regulate the synthesis of resveratrol (RV) in filamentous fungi are still unknown. This work reports on the RV production by Arcopilus aureus MaC7A under controlled conditions and the effect of amino acid precursors (PHE and TYR), monoterpenes (limonone, camphor, citral, thymol, menthol), and mixtures of hydrolytic enzymes (Glucanex) as elicitors for boosting fungal RV. Batch cultures with variable concentrations of PHE and TYR (50–500 mg L−1) stimulated RV production from 127.9 ± 4.6 to 221.8 ± 5.2 mg L−1 in basic cultures developed in PDB (pH 7) added with 10 g L−1 peptone at 30 °C. Maximum levels of RV and biomass were maintained during days 6–8 under these conditions, whereas a dramatic RV decrease was observed from days 10–12 without any loss of biomass. Among the tested volatiles, citral (50 mg L−1) enhanced RV production until 187.8 ± 2.2 mg L−1 in basic cultures, but better results were obtained with Glucanex (100 mg L−1; 198.3 ± 7.6 mg L−1 RV). Optimized batch cultures containing TYR (200 mg L−1), citral (50 mg L−1), thymol (50 mg L−1), and Glucanex (100 mg L−1) produced up to 237.6 ± 4.7 mg L−1 of RV. Our results suggest that low concentrations of volatiles and mixtures of isoenzymes with β-1, 3 glucanase activity increase the biosynthesis of fungal RV produced by A. aureus MaC7A in batch cultures.</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="211196">
                <text>2021</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="211197">
                <text>&lt;i&gt;Arcopilus aureus&lt;/i&gt;, Batch-cultures, elicitors, resveatrol</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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              <elementText elementTextId="211198">
                <text>10.3390/app11104583</text>
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          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="211199">
                <text>Applied Sciences</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="211200">
                <text>MDPI AG</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>
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              <elementText elementTextId="211201">
                <text>Engineering (General). Civil engineering (General), Technology, Biology (General), Chemistry, Physics</text>
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            <name>Relation</name>
            <description>A related resource</description>
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                <text>&lt;a href="https://www.mdpi.com/2076-3417/11/10/4583" target="_blank" rel="noreferrer noopener"&gt;https://www.mdpi.com/2076-3417/11/10/4583&lt;/a&gt;</text>
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  <item itemId="10411" public="1" featured="0">
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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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              <name>Description</name>
              <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>
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              <elementText elementTextId="86864">
                <text>&lt;i&gt;Azospirillum brasilense&lt;/i&gt; and Solarized Manure on the Production and Phytochemical Quality of Tomato Fruits (&lt;i&gt;Solanum lycopersicum&lt;/i&gt; L.)</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="86865">
                <text>Alfonso Andrade-Sifuentes, Manuel Fortis-Hernández, Pablo Preciado-Rangel, Jorge  Arnaldo Orozco-Vidal, Pablo Yescas-Coronado, Edgar  Omar Rueda-Puente</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="86866">
                <text>Tomato is a vegetable crop with probiotic interest. Currently subject to a global biosecurity emergency due to the epidemic caused by COVID-19, humanity is seeking to maintain its health and become stronger by eating vegetables that have probiotic properties. Considering the request of tomato farmers in the Comarca Lagunera (CL) region, the objective of this work consisted of determining the impact of bioinoculation with Azospirillum brasilense (Ab) and solarized manure (M) on the yield and phytochemical quality of tomato fruits produced in shade mesh. Seeds of the saladette variety TOP 2299 were inoculated with Ab at 1 × 108 CFU.mL. Before 46 days after being sowed, seedlings were transplanted in soil enriched with manure solarized at a rate of 0, 40, 80, 120 and 160 t ha−1; a chemical fertilization (CHF) treatment was also adopted (366-95-635). Emergence, growth, root length, bromatological studies (protein and lipids in plant), yield and organoleptic (Vit C, phenols, flavonoids and lycopene) variables were considered. The results show that biofertilization based on Ab + M40 can be an alternative to produce tomato in shade-house conditions in the CL compared with non-inoculated and CHF treatments.</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="86867">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="86868">
                <text>sustainability, beneficial microorganisms, dry arid zones</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="86869">
                <text>10.3390/agronomy10121956</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="86870">
                <text>Epidemiology and Health</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="86871">
                <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="86872">
                <text>Agriculture</text>
              </elementText>
            </elementTextContainer>
          </element>
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          <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="1">
                  <text>Coronavirus</text>
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              </elementTextContainer>
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            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
              <elementTextContainer>
                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
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              </elementTextContainer>
            </element>
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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>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="84897">
                <text>&lt;i&gt;Betacoronavirus&lt;/i&gt; Genomes: How Genomic Information has been Used to Deal with Past Outbreaks and the COVID-19 Pandemic</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="84898">
                <text>Alejandro Llanes, Carlos  M. Restrepo, Zuleima Caballero, Sreekumari Rajeev, Melissa  A. Kennedy, Ricardo Lleonart</text>
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            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="84899">
                <text>In the 21st century, three highly pathogenic betacoronaviruses have emerged, with an alarming rate of human morbidity and case fatality. Genomic information has been widely used to understand the pathogenesis, animal origin and mode of transmission of coronaviruses in the aftermath of the 2002–2003 severe acute respiratory syndrome (SARS) and 2012 Middle East respiratory syndrome (MERS) outbreaks. Furthermore, genome sequencing and bioinformatic analysis have had an unprecedented relevance in the battle against the 2019–2020 coronavirus disease 2019 (COVID-19) pandemic, the newest and most devastating outbreak caused by a coronavirus in the history of mankind. Here, we review how genomic information has been used to tackle outbreaks caused by emerging, highly pathogenic, betacoronavirus strains, emphasizing on SARS-CoV, MERS-CoV and SARS-CoV-2. We focus on shared genomic features of the betacoronaviruses and the application of genomic information to phylogenetic analysis, molecular epidemiology and the design of diagnostic systems, potential drugs and vaccine candidates.</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="84900">
                <text>2020</text>
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