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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Host tissue and glycan binding specificities of avian viral attachment proteins using novel avian tissue microarrays.</text>
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                <text>Iresha N Ambepitiya Wickramasinghe, Robert P. de Vries, Amber M Eggert, Nantaporn Wandee, Cornelis A.M. De Haan, Andrea Gröne, Monique H. Verheije</text>
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                <text>The initial interaction between viral attachment proteins and the host cell is a critical determinant for the susceptibility of a host for a particular virus. To increase our understanding of avian pathogens and the susceptibility of poultry species, we developed novel avian tissue microarrays (TMAs). Tissue binding profiles of avian viral attachment proteins were studied by performing histochemistry on multi-species TMA, comprising of selected tissues from ten avian species, and single-species TMAs, grouping organ systems of each species together. The attachment pattern of the hemagglutinin protein was in line with the reported tropism of influenza virus H5N1, confirming the validity of TMAs in profiling the initial virus-host interaction. The previously believed chicken-specific coronavirus (CoV) M41 spike (S1) protein displayed a broad attachment pattern to respiratory tissues of various avian species, albeit with lower affinity than hemagglutinin, suggesting that other avian species might be susceptible for chicken CoV. When comparing tissue-specific binding patterns of various avian coronaviral S1 proteins on the single-species TMAs, chicken and partridge CoV S1 had predominant affinity for the trachea, while pigeon CoV S1 showed marked preference for lung of their respective hosts. Binding of all coronaviral S1 proteins was dependent on sialic acids; however, while chicken CoV S1 preferred sialic acids type I lactosamine (Gal(1-3)GlcNAc) over type II (Gal(1-4)GlcNAc), the fine glycan specificities of pigeon and partridge CoVs were different, as chicken CoV S1-specific sialylglycopolymers could not block their binding to tissues. Taken together, TMAs provide a novel platform in the field of infectious diseases to allow identification of binding specificities of viral attachment proteins and are helpful to gain insight into the susceptibility of host and organ for avian pathogens.</text>
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                <text>DOI: 10.1371/journal.pone.0128893</text>
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                <text>PLoS ONE</text>
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                <text>Public Library of Science (PLoS)</text>
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              <name>Title</name>
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                  <text>Dominio científico: Coronavirus</text>
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      <name>Text</name>
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                <text>Host transcriptome-guided drug repurposing for COVID-19 treatment: a meta-analysis based approach</text>
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                <text>Suma Mohan S, Srimathy Ramachandran, Devipriya Nagarajan, Tamizhini Loganathan, Prakash Shankaran</text>
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                <text>Background Coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been declared a pandemic by the World Health Organization, and the identification of effective therapeutic strategy is a need of the hour to combat SARS-CoV-2 infection. In this scenario, the drug repurposing approach is widely used for the rapid identification of potential drugs against SARS-CoV-2, considering viral and host factors. Methods We adopted a host transcriptome-based drug repurposing strategy utilizing the publicly available high throughput gene expression data on SARS-CoV-2 and other respiratory infection viruses. Based on the consistency in expression status of host factors in different cell types and previous evidence reported in the literature, pro-viral factors of SARS-CoV-2 identified and subject to drug repurposing analysis based on DrugBank and Connectivity Map (CMap) using the web tool, CLUE. Results The upregulated pro-viral factors such as TYMP, PTGS2, C1S, CFB, IFI44, XAF1, CXCL2, and CXCL3 were identified in early infection models of SARS-CoV-2. By further analysis of the drug-perturbed expression profiles in the connectivity map, 27 drugs that can reverse the expression of pro-viral factors were identified, and importantly, twelve of them reported to have anti-viral activity. The direct inhibition of the PTGS2 gene product can be considered as another therapeutic strategy for SARS-CoV-2 infection and could suggest six approved PTGS2 inhibitor drugs for the treatment of COVID-19. The computational study could propose candidate repurposable drugs against COVID-19, and further experimental studies are required for validation.</text>
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                <text>2020</text>
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                <text>drug repurposing, host transcriptome, SARS-CoV-2, COVID-19</text>
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                <text>DOI: 10.7717/peerj.9357</text>
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            <description>A related resource from which the described resource is derived</description>
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                <text>PeerJ</text>
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                <text>PeerJ Inc.</text>
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                <text>Medicine</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Host-cell recognition through GRP78 is enhanced in the new UK variant of SARS-CoV-2, in silico.</text>
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                <text>Abdo A Elfiky, Ibrahim M Ibrahim</text>
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                <text>2021</text>
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                <text>covid-19, SARS-CoV-2, GRP78, Spike RBD, Computational biophysics, New variant VUI 202012/01</text>
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                <text>10.1016/j.jinf.2021.01.015</text>
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                <text>The Journal of infection</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Host-Directed FDA-Approved Drugs with Antiviral Activity against SARS-CoV-2 Identified by Hierarchical In Silico/In Vitro Screening Methods</text>
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                <text>Carmen Gil, Ana Martínez, Vanesa Nozal, Tiziana Ginex, Urtzi Garaigorta, David Ramírez, Victoria Castro, Inés Maestro, Javier García-Cárceles, Nuria  E. Campillo, Pablo Gastaminza</text>
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                <text>The unprecedent situation generated by the COVID-19 global emergency has prompted us to actively work to fight against this pandemic by searching for repurposable agents among FDA approved drugs to shed light into immediate opportunities for the treatment of COVID-19 patients. In the attempt to proceed toward a proper rationalization of the search for new antivirals among approved drugs, we carried out a hierarchical in silico/in vitro protocol which successfully combines virtual and biological screening to speed up the identification of host-directed therapies against COVID-19 in an effective way. To this end a multi-target virtual screening approach focused on host-based targets related to viral entry, followed by the experimental evaluation of the antiviral activity of selected compounds, has been carried out. As a result, five different potentially repurposable drugs interfering with viral entry—cepharantine, clofazimine, metergoline, imatinib and efloxate—have been identified.</text>
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                <text>2021</text>
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                <text>covid-19, drug repurposing, virtual screening, entry inhibitors, SARS-CoV-2 evaluation, host-based targets</text>
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                <text>10.3390/ph14040332</text>
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                <text>Epidemiology and Health</text>
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                <text>Korean Society of Epidemiology</text>
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                <text>Medicine, Pharmacy and materia medica</text>
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                <text>Host–Pathogen Responses to Pandemic Influenza H1N1pdm09 in a Human Respiratory Airway Model</text>
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                <text>Michelle L. Baker, Peter A. Durr, Victoria Boyd, Vinod Sundaramoorthy, Elizabeth  A. Pharo, Sinéad  M. Williams</text>
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                <text>The respiratory Influenza A Viruses (IAVs) and emerging zoonotic viruses such as Severe Acute Respiratory Syndrome-Coronavirus-2 (SARS-CoV-2) pose a significant threat to human health. To accelerate our understanding of the host–pathogen response to respiratory viruses, the use of more complex in vitro systems such as normal human bronchial epithelial (NHBE) cell culture models has gained prominence as an alternative to animal models. NHBE cells were differentiated under air-liquid interface (ALI) conditions to form an in vitro pseudostratified epithelium. The responses of well-differentiated (wd) NHBE cells were examined following infection with the 2009 pandemic Influenza A/H1N1pdm09 strain or following challenge with the dsRNA mimic, poly(I:C). At 30 h postinfection with H1N1pdm09, the integrity of the airway epithelium was severely impaired and apical junction complex damage was exhibited by the disassembly of zona occludens-1 (ZO-1) from the cell cytoskeleton. wdNHBE cells produced an innate immune response to IAV-infection with increased transcription of pro- and anti-inflammatory cytokines and chemokines and the antiviral viperin but reduced expression of the mucin-encoding MUC5B, which may impair mucociliary clearance. Poly(I:C) produced similar responses to IAV, with the exception of MUC5B expression which was more than 3-fold higher than for control cells. This study demonstrates that wdNHBE cells are an appropriate ex-vivo model system to investigate the pathogenesis of respiratory viruses.</text>
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            <name>Date</name>
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                <text>2020</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="38447">
                <text>epithelium, cytokine, lung, antiviral, innate immune system, chemokine</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="38448">
                <text>DOI: 10.3390/v12060679</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="38449">
                <text>Viruses</text>
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            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="38450">
                <text>MDPI AG</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="38">
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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              <elementText elementTextId="38451">
                <text>Microbiology</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 elementId="50">
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            <description>A name given to the resource</description>
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                <text>Host–Viral Interactions Revealed among Shared Transcriptomics Signatures of ARDS and Thrombosis: A Clue into COVID-19 Pathogenesis</text>
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            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="72209">
                <text>Shankar Chanchal, Aastha Mishra, Mohammad Z. Ashraf</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="72210">
                <text>Severe novel corona virus disease 2019 (COVID-19) infection is associated with a considerable activation of coagulation pathways, endothelial damage, and subsequent thrombotic microvascular injuries. These consistent observations may have serious implications for the treatment and management of this highly pathogenic disease. As a consequence, the anticoagulant therapeutic strategies, such as low molecular weight heparin, have shown some encouraging results. Cytokine burst leading to sepsis which is one of the primary reasons for acute respiratory distress syndrome (ARDS) drive that could be worsened with the accumulation of coagulation factors in the lungs of COVID-19 patients. However, the obscurity of this syndrome remains a hurdle in making decisive treatment choices. Therefore, an attempt to characterize shared biological mechanisms between ARDS and thrombosis using comprehensive transcriptomics meta-analysis is made. We conducted an integrated gene expression meta-analysis of two independently publicly available datasets of ARDS and venous thromboembolism (VTE). Datasets GSE76293 and GSE19151 derived from National Centre for Biotechnology Information–Gene Expression Omnibus (NCBI-GEO) database were used for ARDS and VTE, respectively. Integrative meta-analysis of expression data (INMEX) tool preprocessed the datasets and effect size combination with random effect modeling was used for obtaining differentially expressed genes (DEGs). Network construction was done for hub genes and pathway enrichment analysis. Our meta-analysis identified a total of 1,878 significant DEGs among the datasets, which when subjected to enrichment analysis suggested inflammation–coagulation–hypoxemia convolutions in COVID-19 pathogenesis. The top hub genes of our study such as tumor protein 53 (TP53), lysine acetyltransferase 2B (KAT2B), DExH-box helicase 9 (DHX9), REL-associated protein (RELA), RING-box protein 1 (RBX1), and proteasome 20S subunit beta 2 (PSMB2) gave insights into the genes known to be participating in the host–virus interactions that could pave the way to understand the various strategies deployed by the virus to improve its replication and spreading.</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="72211">
                <text>2020</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="72212">
                <text>inflammation, covid-19, SARS-CoV-2, Thrombosis, ARDS</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="72213">
                <text>10.1055/s-0040-1721706</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="72214">
                <text>TH Open</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="72215">
                <text>Georg Thieme Verlag KG</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="72216">
                <text>Diseases of the circulatory (Cardiovascular) system</text>
              </elementText>
            </elementTextContainer>
          </element>
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  </item>
  <item itemId="19648" public="1" featured="0">
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Agricultura sostenible</text>
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              <name>Description</name>
              <description>An account of the resource</description>
              <elementTextContainer>
                <elementText elementTextId="88122">
                  <text>Dominio científico: Agricultura sostenible</text>
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              </elementTextContainer>
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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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      <elementSet elementSetId="1">
        <name>Dublin Core</name>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Hosting Capacity of Horticultural Plants for Insect Pests in Brazil Capacidad de Alojamiento de Plantas Hortícolas para Plagas de Insectos en Brasil</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="166910">
                <text>Germano L.D Leite, Marcelo Picanço, José C Zanuncio, Márcio D Moreira, Gulab N Jham</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Factors such as fertilization, allelochemicals, trichomes, weather, and natural enemies can influence pest populations. Thus, it is necessary to understand the factors that predispose vegetable species to pests and the role of polyculture, crop rotation, and neighboring plants. The objective of this research was to study the hosting capacity for pests of Abelmoschus esculentus (L.), Brassica oleracea L. vars. acephala and capitata, Capsicum annuum L., Cucurbita moschata (Duchesne), Cucurbita maxima Duchesne and Cucumis sativus L., Lycopersicon esculentum Mill., Solanum gilo Raddi and Solanum melongena L., and Phaseolus vulgaris L. The higher density of Bemisia tabaci (Genn.) adults on C. sativus can be due to the higher amount of pentacosane and octacosane in this plant. The occurrence of Brevicoryne brassicae (L.) only in Brassica spp. can be accounted for by the nonacosane of these plants. The low trichome density and greater palmitic acid level can explain the greatest damage by Aphis gossypii Glover in A. esculentum. Empoasca sp. was more frequent in P. vulgaris followed by A. esculentum, which are plants with lower K content. Solanum melongena was attacked more by Hydrangea similis (Walker) and Epitrix sp. perhaps because of higher palmitic acid and 11,14,17-eicosatrienoic methyl ester concentrations in their leaves. Frankliniella sp. exhibited more damage in C. sativus probably owing to higher pentacosane and octacosane in its leaves. Sistena sp. was more frequent in C. maxima and had higher octadecane levels and trichome density. The presence of ¥-humulene and hexacosane can explain the damage by Tuta absoluta (Meyrick) on L. esculentum.Factores tales como la fertilización, aleloquímicos, tricomas, el clima y los enemigos naturales pueden influir en las poblaciones de plagas. Por lo tanto, es necesario comprender los factores que predisponen a las especies vegetales a las plagas y el papel de policultivos, rotación de cultivos y las plantas vecinas. El objetivo de este trabajo fue estudiar la capacidad hospedera de Abelmoschus esculentus (L.), Brassica oleracea L. vars. acephala and capitata, Capsicum annuum L., Cucurbita moschata (Duchesne), Cucurbita maxima Duchesne, Cucumis sativus L., Lycopersicon esculentum Mill., Solanum gilo Raddi, Solanum melongena L. y Phaseolus vulgaris L. a insectos plaga. La mayor densidad de adultos de Bemisia tabaci (Genn.) en C. sativus puede deberse al mayor contenido de pentacosano y octacosano en estas plantas. La aparición de Brevicoryne brassicae (L.) sólo en Brassica spp. puede ser debida a la nonacosano de estas plantas. La baja densidad de tricomas y mayor cantidad de ácido palmítico puede explicar el mayor daño por Aphis gossypii Glover en A. esculentum. Empoasca sp. fue más frecuente en P. vulgaris, seguido por A. esculentum, las plantas con menor contenido de K. Solanum melongena fue más atacada por Hortensia similis (Walter) y Epitrix sp., tal vez debido al aumento de las concentraciones de ácido palmítico y el éster metílico 11,14,17-eicosatrienoico en sus hojas. Frankliniella sp. presentan mayor daño en C. sativus, probablemente por el mayor contenido de pentacosano y octacosane en sus hojas. Sistena sp. fue más frecuente en C. maxima que tenían los mayores niveles de octadecano y densidad de tricomas. La presencia de ¥-humuleno y hexacosane podría explicar el daño por Tuta absoluta (Meyrick) en L. esculentum.</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="166912">
                <text>2011</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="166913">
                <text>Allelochemicals, Nitrogen, Potassium, aleloquímicos, insectos, insects, nitrógeno, potasio, trichomes, tricomas</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="166914">
                <text>Chilean Journal of Agricultural Research</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="166915">
                <text>Instituto de Investigaciones Agropecuarias, INIA</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="166916">
                <text>Agriculture, Environmental sciences</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="46">
            <name>Relation</name>
            <description>A related resource</description>
            <elementTextContainer>
              <elementText elementTextId="166917">
                <text>&lt;a href="http://www.scielo.cl/scielo.php?script=sci_arttext&amp;amp;pid=S0718-58392011000300006" target="_blank" rel="noreferrer noopener"&gt;http://www.scielo.cl/scielo.php?script=sci_arttext&amp;amp;pid=S0718-58392011000300006&lt;/a&gt;</text>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
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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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            </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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        <name>Dublin Core</name>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="22158">
                <text>HostPhinder: A Phage Host Prediction Tool</text>
              </elementText>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="22159">
                <text>Julia Villarroel, Kortine Annina Kleinheinz, Vanessa Isabell Jurtz, Henrike Zschach, Ole Lund, Morten Nielsen, Mette Voldby Larsen</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="22160">
                <text>The current dramatic increase of antibiotic resistant bacteria has revitalised the interest in bacteriophages as alternative antibacterial treatment. Meanwhile, the development of bioinformatics methods for analysing genomic data places high-throughput approaches for phage characterization within reach. Here, we present HostPhinder, a tool aimed at predicting the bacterial host of phages by examining the phage genome sequence. Using a reference database of 2196 phages with known hosts, HostPhinder predicts the host species of a query phage as the host of the most genomically similar reference phages. As a measure of genomic similarity the number of co-occurring k-mers (DNA sequences of length k) is used. Using an independent evaluation set, HostPhinder was able to correctly predict host genus and species for 81% and 74% of the phages respectively, giving predictions for more phages than BLAST and significantly outperforming BLAST on phages for which both had predictions. HostPhinder predictions on phage draft genomes from the INTESTI phage cocktail corresponded well with the advertised targets of the cocktail. Our study indicates that for most phages genomic similarity correlates well with related bacterial hosts. HostPhinder is available as an interactive web service [1] and as a stand alone download from the Docker registry [2].</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>2016</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="22162">
                <text>“host specificity”, Prediction, genome, Kmers</text>
              </elementText>
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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="22163">
                <text>DOI: 10.3390/v8050116</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="22164">
                <text>Viruses</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="22165">
                <text>MDPI AG</text>
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            </elementTextContainer>
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            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Microbiology</text>
              </elementText>
            </elementTextContainer>
          </element>
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            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="22167">
                <text>EN</text>
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            </elementTextContainer>
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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>
              <elementTextContainer>
                <elementText elementTextId="88122">
                  <text>Dominio científico: Agricultura sostenible</text>
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              </elementTextContainer>
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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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                <text>Hotelería sostenible, una aproximación a la economía social como factor de competitividad  de destinos turísticos</text>
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            <name>Creator</name>
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                <text>María Alejandra Rosales Lobo, Marysela Coromoto Morillo</text>
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            <description>An account of the resource</description>
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                <text>Dada la responsabilidad que tiene la hotelería en el consumo de recursos naturales, desde su construcción hasta su funcionamiento y la concienciación que a nivel mundial se viene dando por la conservación ambiental, se han gestado instancias certificadoras que, a través de una serie de indicadores, avalan la sostenibilidad tanto de las instalaciones como de las operaciones y gestión de la actividad hotelera, lo cual se inserta en la visión de la Responsabilidad Social Corporativa (RSC) en la senda de la economía social. El objetivo del presente trabajo es ubicar las prácticas de la hotelería sostenible en el ámbito de la competitividad del sector turístico como ejemplo específico de los agentes de la economía social, partiendo en un primer momento de la vinculación existente entre esta y la RSC, así como la necesaria incorporación de la misma en el turismo a modo de un instrumento competitivo, contexto donde se enmarca la hotelería sostenible como importante integrante del sistema turístico de todo destino y un aporte a la difusión de la argumentación para prácticas responsables. Se concluye que el hotelería sostenible se enmarca en la economía social, por cuanto las ventajas que la misma implica son en beneficio de los propietarios, trabajadores, turistas y las comunidades receptoras; se trata de una puerta de entrada para que el tejido empresarial turístico se incorpore en el modelo de la economía social, no sólo por sus iniciativas respetuosas para con el ambiente natural, social y cultural, sino además por impulsar la incorporación de otras empresas.</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>2018</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="218709">
                <text>Alojamiento, Responsabilidad Social Corporativa, turismo sostenible</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="218710">
                <text>10.21710/rch.v22i0.417</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="218711">
                <text>Revista Científica Hermes</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="218712">
                <text>Fase Educação e Cultura Ltda.</text>
              </elementText>
            </elementTextContainer>
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            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Social Sciences, Social sciences (General)</text>
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            <description>A related resource</description>
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                <text>&lt;a href="http://www.fipen.edu.br/hermes1/index.php/hermes1/article/view/417" target="_blank" rel="noreferrer noopener"&gt;http://www.fipen.edu.br/hermes1/index.php/hermes1/article/view/417&lt;/a&gt;</text>
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  <item itemId="6855" public="1" featured="0">
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        <src>https://www.socictopen.socict.org/files/original/bc2f47195594cbedb9306aadcc805f19.pdf</src>
        <authentication>6dad46ede49c1b7bef7c64b8079bbb08</authentication>
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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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      <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>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="60460">
                <text>Hotels hurting horrifically but hopeful: A case study of the Indianapolis hotel industry</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="60461">
                <text>Craig Webster, Chih-Lun (Alan) Yen, Sotiris Hji-Avgoustis</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="60462">
                <text>Purpose: The authors delve into the impact of the coronavirus pandemic on the hotel industry in Indianapolis in comparison to its competition. The impact of the virus on the hotel industry was analyzed for Indianapolis and its major competitors (Chicago, Nashville, St. Louis, San Antonio and Kansas City) to learn about how severe the impact is and attain insight into how these destinations can rebound.Methods: This paper uses data from Smith Travel Research (STR), a service that produces daily hotel metrics often cited in mainstream media and academic journals. This secondary data source gathers data from participating hotels to obtain a sample of data on occupancy, average daily rate (ADR), and revenue per available room (RevPAR). The trends in the data are compared over time and between cities in the analysis.Results: The findings illustrate that the hotel industry in Indianapolis was able to replace some transient visitors with contracts and group bookings, suggesting that proactive and assertive policies have assisted in the management of the crisis.Implications: The findings from the analysis illustrate that leveraging innovative policies and looking at new markets may assist in the rebounding of convention tourism in Indianapolis and its competitors.</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="60463">
                <text>2020</text>
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            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="60464">
                <text>covid-19, adr, RevPAR, Indianapolis, hotel occupancy</text>
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            </elementTextContainer>
          </element>
          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="60465">
                <text>10.5281/zenodo.4064023</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="60466">
                <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="60467">
                <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="60468">
                <text>Management. Industrial management, Marketing. Distribution of products</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
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  </item>
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