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                  <text>Agricultura sostenible</text>
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                  <text>Dominio científico: Agricultura sostenible</text>
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                <text>Utilizando a altura do pasto para manejar as pastagens</text>
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                <text>Vagner Miranda Portes, Felipe Jochims, Patrícia Aparecida Pereira da Silva</text>
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                <text>Resumo - Pastagens devem ser manejadas com adequada disponibilidade de forragem e mantendo resíduos adequados na saída dos animais. Essa quantidade de biomassa tem relação direta com a altura do pasto e é um resíduo importante pela quantidade de área foliar residual fotossinteticamente ativa, que tem relação direta com a capacidade de absorção de radiação solar pelas plantas e, com isso, sobre a capacidade de rebrote da pastagem, sem depender de suas reservas radiculares. Diferentes gramíneas apresentam diferentes alturas ideais de manejo, variando de 28cm na entrada a 14cm na saída em Cynodons até de 120 a 60cm para entrada e saída dos animais em capim pioneiro, respectvamente.   Abstract - Pastures need to be managed with a proper herbage availability and keeping a proper residual mass when animals are removed from the area. This herbage has direct relation with the grass height and this residual mass is important due to the photosynthetically active leaves and their capacity in intercept the solar radiation, inﬂuencing the pasture regrowth without using the plant root reserves. Diﬀerent grass species present diﬀerent management heights, varying from 28cm to 14cm in Cynodons until 120cm to 60cm in Pioneiro elephant grass.</text>
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                <text>2018</text>
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                <text>Forragem, Kurumi, Tifton, pastagens perenes de verão</text>
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                <text>Revista Agropecuária Catarinense</text>
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                <text>Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina - Epagri</text>
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                <text>Agriculture (General)</text>
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                <text>&lt;a href="https://publicacoes.epagri.sc.gov.br/RAC/article/view/43" target="_blank" rel="noreferrer noopener"&gt;https://publicacoes.epagri.sc.gov.br/RAC/article/view/43&lt;/a&gt;</text>
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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Utilizing of (Zinc Oxide Nano-Spray) for Disinfection against “SARS-CoV-2” and Testing Its Biological Effectiveness on Some Biochemical Parameters during (COVID-19 Pandemic)—”ZnO Nanoparticles Have Antiviral Activity against (SARS-CoV-2)”</text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Samy  M. El-Megharbel, Mohammed Alsawat, Fawziah  A. Al-Salmi, Reham  Z. Hamza</text>
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                <text>A newly synthesized zinc (II) oxide nanoparticle (ZnO-NPs) has been used as a disinfectant Nano-spray for the emerging corona virus (SARS-CoV-2). The synthesized obtained nanomaterial of (ZnO) was fully chemically characterized by using different spectroscopic analysis (FT-IR, UV and XRD) and surface analysis techniques. ZnO-Nps surface morphology and chemical purity has been investigated by transmission electron microscope (TEM), high resolution transmission electron microscope (HR-TEM), scanning electron microscopy (SEM) as well as energy dispersive X-ray analysis (EDX), Additionally Zeta potential and Zeta size distribution were measured and evaluated to confirm its nano-range scale. The synthesized Zno-NPs have been tested using 10% DMSO and ddH2O for estimation of antiviral activity against (SARS-CoV-2) by using cytotoxicity assay (CC50) and inhibitory concentration (IC50). The results revealed that (Zno-NPs) has high anti-SARS-CoV-2 activity at cytotoxic concentrations in vitro with non-significant selectivity index (CC50/IC50 ≤ 1). The current study results demonstrated the (ZnO-NPs) has potent antiviral activity at low concentration (IC50 = 526 ng/mL) but with some cytotoxic effect to the cell host by (CC50 = 292.2 ng/mL). We recommend using of (ZnO-NPs) as potent disinfectant against (SARS-Cov-2), but there are slight side effects on the cellular host, so we recommend more prospective studies on complexation of other compounds with (ZnO-NPs) in different concentrations to reduce its cellular toxicity and elevate its antiviral activity against SARS-CoV-2 activities.</text>
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                <text>2021</text>
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                <text>antiviral, covid-19, SARS-CoV-2, SEM, TEM, zinc oxide nanoparticles</text>
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            <name>Identifier</name>
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                <text>10.3390/coatings11040388</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="55607">
                <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="55608">
                <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>Engineering (General). Civil engineering (General)</text>
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              <name>Title</name>
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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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            </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>
            <elementTextContainer>
              <elementText elementTextId="17191">
                <text>Utilizing random Forest QSAR models with optimized parameters for target identification and its application to target-fishing server</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="17192">
                <text>Kyoungyeul Lee, Min-Ho Lee, Dong-Sup Kim</text>
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            </elementTextContainer>
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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 identification of target molecules is important for understanding the mechanism of “target deconvolution” in phenotypic screening and “polypharmacology” of drugs. Because conventional methods of identifying targets require time and cost, in-silico target identification has been considered an alternative solution. One of the well-known in-silico methods of identifying targets involves structure activity relationships (SARs). SARs have advantages such as low computational cost and high feasibility; however, the data dependency in the SAR approach causes imbalance of active data and ambiguity of inactive data throughout targets. Results We developed a ligand-based virtual screening model comprising 1121 target SAR models built using a random forest algorithm. The performance of each target model was tested by employing the ROC curve and the mean score using an internal five-fold cross validation. Moreover, recall rates for top-k targets were calculated to assess the performance of target ranking. A benchmark model using an optimized sampling method and parameters was examined via external validation set. The result shows recall rates of 67.6% and 73.9% for top-11 (1% of the total targets) and top-33, respectively. We provide a website for users to search the top-k targets for query ligands available publicly at http://rfqsar.kaist.ac.kr . Conclusions The target models that we built can be used for both predicting the activity of ligands toward each target and ranking candidate targets for a query ligand using a unified scoring scheme. The scores are additionally fitted to the probability so that users can estimate how likely a ligand–target interaction is active. The user interface of our web site is user friendly and intuitive, offering useful information and cross references.</text>
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                <text>2017</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>virtual screening, target identification, SAR modeling, random forest, Extended connectivity fingerprint, Target fishing server</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="17196">
                <text>DOI: 10.1186/s12859-017-1960-x</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>
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              <elementText elementTextId="17197">
                <text>BMC Bioinformatics</text>
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            <description>An entity responsible for making the resource available</description>
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                <text>BMC</text>
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                <text>Biology (General), Computer applications to medicine. Medical informatics</text>
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            <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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            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>UV Disinfection Robot with Automatic Switching on Human Detection</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="64536">
                <text>A. Vyshnavi, A. Manasa, Ch. Hamsika, P. Shalini</text>
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            <description>An account of the resource</description>
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                <text>Ultra violet (UV) light is used for the purpose of disinfection or sterilization of rooms and surfaces. UV-C is employed as it has germicidal properties, in particular -  bacteria and viruses, but it is detrimental to human-beings as well. So, for the purpose of disinfection without human interference, a UV Robot has been designed and implemented that follows a pre-defined path. It was equipped with three 20W UV lamps which radiates light in all directions. Given that UV light can be dangerous to humans, an embedded system based on Arduino along with PIR sensors are employed on top of the robot that detects human or animal’s motion and presence. So, one of the effective ways to avoid getting infected with SARS-COV-2 (Corona virus) is by sterilizing rooms using UV robot.</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>SARS-CoV-2, sterilization, disinfection, UV light, robot</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>10.4108/eai.25-9-2020.166364</text>
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            <description>A related resource from which the described resource is derived</description>
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                <text>Biotemas</text>
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                <text>Universidade Federal de Santa Catarina</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>Computer engineering. Computer hardware, Industrial engineering. Management engineering</text>
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