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              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
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              <name>Description</name>
              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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            <name>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="6645">
                <text>Tax compliance and behavioural response in South Africa: an alternative investigation</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="6646">
                <text>Zurika Robinson, Rebone Gcabo</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Taxpayer behaviour has in South Africa moved to the forefront of the investigation of revenue collection with regular tax awareness campaigns being launched by the South African Revenue Service (SARS). Issues relating to tax amnesty and the contribution of the informal sector (second economy) to tax revenue have become important. This paper attempts to find explanations, be they economic or psychological, for taxpayer behaviour in South Africa. Factors influencing tax evasion and ultimately collection targets are thus examined. A questionnaire was designed to determine how individuals, in this case a sample of students, respond when filing taxes. Each question frames a scenario to invoke a specific tax regime.   The paper’s unique findings show, generally, that behaviour is to a large extent determined by economic factors, specifically inequality as predicted by the expected utility theory. This theory also successfully predicts 50 per cent of the responses to the control questions. The remaining 50 per cent are explained by combined economic and psychological factors, modelled by the prospect theory. This is significant considering the fact that the results were generated within a developing and not a developed context as is the case in most studies of this type.</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="6648">
                <text>2013</text>
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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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              <elementText elementTextId="6649">
                <text>DOI: 10.4102/sajems.v10i3.695</text>
              </elementText>
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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="6650">
                <text>South African Journal of Economic and Management Sciences</text>
              </elementText>
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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="6651">
                <text>AOSIS</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>Economics as a science, Business, Management. Industrial management</text>
              </elementText>
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          <element elementId="44">
            <name>Language</name>
            <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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              <name>Description</name>
              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</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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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Molecular phylogeny of Toxoplasmatinae: comparison between inferences based on mitochondrial and apicoplast genetic sequences</text>
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            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="6655">
                <text>Michelle Klein Sercundes, Samantha Yuri Oshiro Branco Valadas, Lara Borges Keid, Tricia Maria Ferreira Souza Oliveira, Helena Lage Ferreira, Ricardo Wagner de Almeida Vitor, Fabio Gregori, Rodrigo Martins Soares</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="6656">
                <text>Abstract Phylogenies within Toxoplasmatinae have been widely investigated with different molecular markers. Here, we studied molecular phylogenies of the Toxoplasmatinae subfamily based on apicoplast and mitochondrial genes. Partial sequences of apicoplast genes coding for caseinolytic protease (clpC) and beta subunit of RNA polymerase (rpoB), and mitochondrial gene coding for cytochrome B (cytB) were analyzed. Laboratory-adapted strains of the closely related parasites Sarcocystis falcatula and Sarcocystis neurona were investigated, along with Neospora caninum, Neospora hughesi, Toxoplasma gondii (strains RH, CTG and PTG), Besnoitia akodoni, Hammondia hammondiand two genetically divergent lineages of Hammondia heydorni. The molecular analysis based on organellar genes did not clearly differentiate between N. caninum and N. hughesi, but the two lineages of H. heydorni were confirmed. Slight differences between the strains of S. falcatula and S. neurona were encountered in all markers. In conclusion, congruent phylogenies were inferred from the three different genes and they might be used for screening undescribed sarcocystid parasites in order to ascertain their phylogenetic relationships with organisms of the family Sarcocystidae. The evolutionary studies based on organelar genes confirm that the genusHammondia is paraphyletic. The primers used for amplification of clpC and rpoB were able to amplify genetic sequences of organisms of the genus Sarcocystisand organisms of the subfamily Toxoplasmatinae as well.</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="6657">
                <text>2016</text>
              </elementText>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="6658">
                <text>Sarcocystidae, Caracterização Molecular, filogenia, Toxoplasmatinae, gene apicoplasto, gene mitocondrial</text>
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          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="6659">
                <text>DOI: 10.1590/S1984-29612016015</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="6660">
                <text>Revista Brasileira de Parasitologia Veterinária</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="6661">
                <text>Colégio Brasileiro de Parasitologia Veterinaria</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>
            <elementTextContainer>
              <elementText elementTextId="6662">
                <text>Animal culture</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="44">
            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="6663">
                <text>EN, ES, PT</text>
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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="1">
                  <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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              </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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      <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="6664">
                <text>Epidemiological aspects of astrovirus and coronavirus in poults in the South Eastern Region of Brazil Aspectos epidemiológicos associados à prevalência de Astrovirus e Coronavirus em lotes de perus da Região Sudeste do Brasil</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="6665">
                <text>S.E.L. da Silva, A.M. Bonetti, A. Petrocelli, H.F. Ferrari, M.C.R. Luvizotto, T.C. Cardoso</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="6666">
                <text>A survey of Turkey Coronavirus (TCoV) and Astrovirus (TAstV-2) prevalence was carried out from February to December during 2006 year in semiarid region of Brazil, from a turkey producer area, localized in South Eastern of Brazil. To asses the risk factor related to clinical material, climatic condition and type of RT-PCR applied, cloacal swabs (CS), faeces, sera, bursa of Fabricius (BF), thymus (TH) and spleen (SP) and ileum-caeca region were collected from 30-day-old poults suffering of enteritis episode characterized as poult enteritis mortality syndrome (PEMS). The PEMS clinical features were characterized by watery to foamy faeces, light brown-yellow in colour and low mortality rate. Meteorological data (rainfall and relative humidity) observed during along the study presented monthly average temperature ranging from 39.3 and 31.2ºC, precipitation in rainy season from 40 to 270.3 mm/month, and no rain during dry season. Simplex RT-PCR gave odds ratio (OR) values suggesting that ileum-caeca region is at higher chance (OR=1.9; p=0.9741) to have both viral RNA than faeces (OR=1.5; p=0.7319). However, multiplex RT-PCR showed 3.98 (p=0.89982) more chance to give positive results in faeces than CS at dry season. The major risk factors seem to be low rate of humidity and high temperatures at winter, probably responsible for spread, easily, the TCoV and TAstv-2 among the flocks. The positive results of both virus suggested that they can play an important role in enteric disorders, associated to low humidity and high temperatures frequently found in tropical countries.O presente estudo foi conduzido para avaliar a prevalência do Coronavirus dos perus (TCoV) e Astrovirus tipo 2 (TAstV-2) entre os meses de Fevereiro a Dezembro de 2006, em uma região produtora localizada no semi-árido a Sudeste do Brasil. Os principais fatores de risco associado a prevalência foram material clínico analisado, condições climáticas e tipo de técnica molecular empregada. Os sinais clínicos foram caracterizados como intenso fluido intestinal e baixo crescimento em aves jovens, sendo o material coletado swabs cloacais, fezes, soros, bursa de Fabrícius, segmentos do intestino delgado, timo e baço. Os dados meteorológicos (índice pluviométrico e umidade relativa) desta região, durante o período de estudo, foram de temperatura média mensal variando de 39.3 a 31.2ºC, precipitação na época chuvosa variando de 40 a 270.3mm/mês e ausência de chuva na estação fria e seca. A técnica de simplex RT-PCR resultou em valores de odds ratio (OR) que sugerem que a região do intestino delgado (junção íleo-cecal) possui alta chance (1.9 vezes) de gerar resultados positivos na amplificação de RNA viral que as fezes (1.5 vezes) analisadas. A técnica de multiplex RT-PCR demonstrou ser 3.98 vezes mais eficiente em promover resultados positivos nas fezes que nos swabs cloacais, durante a época de inverno. Os maiores fatores de risco encontrados foram baixa umidade relativa associada a altas temperaturas, durante a estação seca, o que pode permitir uma maior disseminação aérea do ambos os vírus entre os lotes estudados. A alta prevalência detectada para dois vírus sugerem que, no Brasil, estes representam os maiores responsáveis pelos surtos de enterite viral nas regiões semi-áridas, associado a baixas umidades e altas temperaturas típicas de países tropicais.</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="6667">
                <text>2009</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="6668">
                <text>Astrovirus perus, Coronavirus perus, diagnóstico molecular, prevalência, Turkey Astrovirus, Turkey Coronavirus, Molecular diagnosis, PEMS</text>
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          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="6669">
                <text>DOI: 10.1590/S1517-83822009000200008</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="6670">
                <text>Brazilian Journal of Microbiology</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="6671">
                <text>Sociedade Brasileira de Microbiologia</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>
            <elementTextContainer>
              <elementText elementTextId="6672">
                <text>Microbiology</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="44">
            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="6673">
                <text>EN</text>
              </elementText>
            </elementTextContainer>
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  <item itemId="712" public="1" featured="0">
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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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            <element elementId="41">
              <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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              </elementTextContainer>
            </element>
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      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
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      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="6674">
                <text>Comparing Interviewer-Administered and Web-Based Food Frequency Questionnaires to Predict Energy Requirements in Adults</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="6675">
                <text>Didier Brassard, Simone Lemieux, Amélie Charest, Annie Lapointe, Patrick Couture, Marie-Ève Labonté, Benoît Lamarche</text>
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            <description>An account of the resource</description>
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                <text>Traditional food frequency questionnaires (FFQs) are influenced by systematic error, but web-based FFQ (WEB-FFQs) may mitigate this source of error. The objective of this study was to compare the accuracy of interview-based and web-based FFQs to assess energy requirements (mERs). The mER was measured in a series of controlled feeding trials in which participants daily received all foods and caloric drinks to maintain stable body weight over 4 to 6 weeks. FFQs assessing dietary intakes and hence mean energy intake were either interviewer-administered by a registered dietitian (IA-FFQ, n = 127; control method) or self-administered using a web-based platform (WEB-FFQ, n = 200; test method), on a single occasion. Comparison between self-reported energy intake and mER revealed significant under-reporting with the IA-FFQ (&amp;minus;9.5%; 95% CI, &amp;minus;12.7 to &amp;minus;6.1) and with the WEB-FFQ (&amp;minus;11.0%; 95% CI, &amp;minus;15.4 to &amp;minus;6.4), but to a similar extent between FFQs (p = 0.62). However, a greater proportion of individuals were considered as accurate reporters of energy intake using the IA-FFQ compared with the WEB-FFQ (67.7% vs. 48.0%, respectively), while the prevalence of over-reporting was lower with the IA-FFQ than with the WEB-FFQ (6.3% vs. 17.5%, respectively). These results suggest less accurate prediction of true energy intake by a self-administered WEB-FFQ than with an IA-FFQ.</text>
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            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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                <text>2018</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>food frequency questionnaire, dietary assessment, Web, underreporting, over-reporting, Energy intake</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>DOI: 10.3390/nu10091292</text>
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                <text>Nutrients</text>
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                <text>MDPI AG</text>
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                <text>Nutrition. Foods and food supply</text>
              </elementText>
            </elementTextContainer>
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            <name>Language</name>
            <description>A language of the resource</description>
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                <text>EN</text>
              </elementText>
            </elementTextContainer>
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  <item itemId="713" public="1" featured="0">
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              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
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              <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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        <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>
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                <text>Les ports et la façade maritime du Maghreb, entre intégration régionale et mondiale</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="6685">
                <text>FATIMA ZOHRA MOHAMED-CHÉRIF, César Ducruet</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="6686">
                <text>Le Maghreb central (Maroc, Algérie, Tunisie) possède une façade maritime de 3 000 km en bordure de la mer Méditerranée et de l’océan Atlantique. Sa position de carrefour entre deux mers et deux continents en fait un acteur stratégique de l’interface Nord/Sud que constitue la mer Méditerranée. Les auteurs passent ici en revue les éléments de convergence et de divergence dans l’organisation spatiale de cette façade et analysent le rôle des ports et du transport maritime dans la mise en relation régionale et mondiale des espaces du Maghreb. Malgré le rôle-clé des ports dans l’économie régionale, la croissance du trafic et l’élargissement géographique des avant-pays maritimes, l’intégration territoriale de cette région reste limitée.</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>
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              <elementText elementTextId="6687">
                <text>2011</text>
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            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="6688">
                <text>Arrière-pays, Façade maritime, littoral, Maghreb, MÉDITERRANÉE, Ports</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="6689">
                <text>DOI: </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="6690">
                <text>M@ppemonde</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="6691">
                <text>UMR ESPACE et UMR LISST</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="6692">
                <text>Mathematical geography. Cartography</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="44">
            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="6693">
                <text>ES, FR</text>
              </elementText>
            </elementTextContainer>
          </element>
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  <item itemId="714" public="1" featured="0">
    <fileContainer>
      <file fileId="714">
        <src>https://www.socictopen.socict.org/files/original/64b38de01f6d4108ad5a07b3c374e7ce.pdf</src>
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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="1">
                  <text>Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
              <elementTextContainer>
                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
          </elementContainer>
        </elementSet>
      </elementSetContainer>
    </collection>
    <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>
    </itemType>
    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="6694">
                <text>ZCURVE_V: a new self-training system for recognizing protein-coding genes in viral and phage genomes</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="6695">
                <text>Zhang Chun-Ting, Guo Feng-Biao</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="6696">
                <text>Abstract Background It necessary to use highly accurate and statistics-based systems for viral and phage genome annotations. The GeneMark systems for gene-finding in virus and phage genomes suffer from some basic drawbacks. This paper puts forward an alternative approach for viral and phage gene-finding to improve the quality of annotations, particularly for newly sequenced genomes. Results The new system ZCURVE_V has been run for 979 viral and 212 phage genomes, respectively, and satisfactory results are obtained. To have a fair comparison with the currently available software of similar function, GeneMark, a total of 30 viral genomes that have not been annotated by GeneMark are selected to be tested. Consequently, the average specificity of both systems is well matched, however the average sensitivity of ZCURVE_V for smaller viral genomes (&lt; 100 kb), which constitute the main parts of viral genomes sequenced so far, is higher than that of GeneMark. Additionally, for the genome of Amsacta moorei entomopoxvirus, probably with the lowest genomic GC content among the sequenced organisms, the accuracy of ZCURVE_V is much better than that of GeneMark, because the later predicts hundreds of false-positive genes. ZCURVE_V is also used to analyze well-studied genomes, such as HIV-1, HBV and SARS-CoV. Accordingly, the performance of ZCURVE_V is generally better than that of GeneMark. Finally, ZCURVE_V may be downloaded and run locally, particularly facilitating its utilization, whereas GeneMark is not downloadable. Based on the above comparison, it is suggested that ZCURVE_V may serve as a preferred gene-finding tool for viral and phage genomes newly sequenced. However, it is also shown that the joint application of both systems, ZCURVE_V and GeneMark, leads to better gene-finding results. The system ZCURVE_V is freely available at: http://tubic.tju.edu.cn/Zcurve_V/. Conclusion ZCURVE_V may serve as a preferred gene-finding tool used for viral and phage genomes, especially for anonymous viral and phage genomes newly sequenced.</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="6697">
                <text>2006</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="6698">
                <text>DOI: 10.1186/1471-2105-7-9</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="6699">
                <text>BMC Bioinformatics</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="6700">
                <text>BMC</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="6701">
                <text>Biology (General), Computer applications to medicine. Medical informatics</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="44">
            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="6702">
                <text>EN</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
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  </item>
  <item itemId="715" public="1" featured="0">
    <fileContainer>
      <file fileId="715">
        <src>https://www.socictopen.socict.org/files/original/fe82e3bda5b67e0912c295d017310611.pdf</src>
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      <elementSetContainer>
        <elementSet elementSetId="1">
          <name>Dublin Core</name>
          <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
          <elementContainer>
            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="1">
                  <text>Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
              <elementTextContainer>
                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
          </elementContainer>
        </elementSet>
      </elementSetContainer>
    </collection>
    <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>
    </itemType>
    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="6703">
                <text>Ready, Set, Fuse! The Coronavirus Spike Protein and Acquisition of Fusion Competence</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="6704">
                <text>Tom Gallagher, Taylor Heald-Sargent</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="6705">
                <text>Coronavirus-cell entry programs involve virus-cell membrane fusions mediated by viral spike (S) proteins. Coronavirus S proteins acquire membrane fusion competence by receptor interactions, proteolysis, and acidification in endosomes. This review describes our current understanding of the S proteins, their interactions with and their responses to these entry triggers. We focus on receptors and proteases in prompting entry and highlight the type II transmembrane serine proteases (TTSPs) known to activate several virus fusion proteins. These and other proteases are essential cofactors permitting coronavirus infection, conceivably being in proximity to cell-surface receptors and thus poised to split entering spike proteins into the fragments that refold to mediate membrane fusion. The review concludes by noting how understanding of coronavirus entry informs antiviral therapies.</text>
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            </elementTextContainer>
          </element>
          <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="6706">
                <text>2012</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="6707">
                <text>coronavirus, Virus entry, viral pathogenesis, spike protein, carcinoembryonic antigen, Angiotensin converting enzyme-2, endocytosis, Cathepsin, transmembrane protease, membrane fusion</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="6708">
                <text>DOI: 10.3390/v4040557</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="6709">
                <text>Viruses</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="6710">
                <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>
            <elementTextContainer>
              <elementText elementTextId="6711">
                <text>Microbiology</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="44">
            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="6712">
                <text>EN</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
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  <item itemId="716" public="1" featured="0">
    <fileContainer>
      <file fileId="716">
        <src>https://www.socictopen.socict.org/files/original/11136d14aa4c3ff90ae69978ecab9b6b.pdf</src>
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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>
          <elementContainer>
            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="1">
                  <text>Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
              <elementTextContainer>
                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
          </elementContainer>
        </elementSet>
      </elementSetContainer>
    </collection>
    <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>
    </itemType>
    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="6713">
                <text>Origins and pathogenesis of Middle East respiratory syndrome-associated coronavirus: recent advances [version 1; referees: 3 approved]</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="6714">
                <text>Stephen A. Goldstein, Susan R. Weiss</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="6715">
                <text>Middle East respiratory syndrome-associated coronavirus (MERS-CoV) has been a significant research focus since its discovery in 2012. Since 2012, 2,040 cases and 712 deaths have been recorded (as of August 11, 2017), representing a strikingly high case fatality rate of 36%. Over the last several years, MERS-CoV research has progressed in several parallel and complementary directions. This review will focus on three particular areas: the origins and evolution of MERS-CoV, the challenges and achievements in the development of MERS-CoV animal models, and our understanding of how novel proteins unique to MERS-CoV counter the host immune response. The origins of MERS-CoV, likely in African bats, are increasingly clear, although important questions remain about the establishment of dromedary camels as a reservoir seeding human outbreaks. Likewise, there have been important advances in the development of animal models, and both non-human primate and mouse models that seem to recapitulate human disease are now available. How MERS-CoV evades and inhibits the host innate immune response remains less clear. Although several studies have identified MERS-CoV proteins as innate immune antagonists, little of this work has been conducted using live virus under conditions of actual infection, but rather with ectopically expressed proteins. Accordingly, considerable space remains for major contributions to understanding unique ways in which MERS-CoV interacts with and modulates the host response. Collectively, these areas have seen significant advances over the last several years but continue to offer exciting opportunities for discovery.</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="6716">
                <text>2017</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="6717">
                <text>Animal Genetics, Cellular Microbiology &amp; Pathogenesis, Epidemiology, Genetics of the Immune System, immune response, Immunity to Infections, Leukocyte Signaling &amp; Gene Expression, Medical Microbiology, Microbial Evolution &amp; Genomics, Nosocomial &amp; Healthcare-Associated Infections, Tropical &amp; Travel-Associated Diseases, Viral Infections (without HIV), Virology</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="6718">
                <text>DOI: 10.12688/f1000research.11827.1</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="6719">
                <text>F1000Research</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="6720">
                <text>F1000 Research Ltd</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="6721">
                <text>Biology (General), Medicine</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="44">
            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="6722">
                <text>EN</text>
              </elementText>
            </elementTextContainer>
          </element>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>The US Military Commitment to Vaccine Development: A Century of Successes and Challenges</text>
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                <text>Silvia Ratto-Kim, In-Kyu Yoon, Robert M. Paris, Jean-Louis Excler, Jerome H. Kim, Robert J. O’Connell</text>
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                <text>The US military has been a leading proponent of vaccine development since its founding. General George Washington ordered the entire American army to be variolated against smallpox after recognizing the serious threat that it posed to military operations. He did this on the recommendation from Dr. John Morgan, the physician-in-chief of the American army, who wrote a treatise on variolation in 1776. Although cases of smallpox still occurred, they were far fewer than expected, and it is believed that the vaccination program contributed to victory in the War of Independence. Effective military force requires personnel who are healthy and combat ready for worldwide deployment. Given the geography of US military operations, military personnel should also be protected against diseases that are endemic in potential areas of conflict. For this reason, and unknown to many, the US military has strongly supported vaccine research and development. Four categories of communicable infectious diseases threaten military personnel: (1) diseases that spread easily in densely populated areas (respiratory and dysenteric diseases); (2) vector-borne diseases (disease carried by mosquitoes and other insects); (3) sexually transmitted diseases (hepatitis, HIV, and gonorrhea); and (4) diseases associated with biological warfare. For each category, the US military has supported research that has provided the basis for many of the vaccines available today. Although preventive measures and the development of drugs have provided some relief from the burden of malaria, dengue, and HIV, the US military continues to fund research and development of prophylactic vaccines that will contribute to force health protection and global health. In the past few years, newly recognized infections with Zika, severe acute respiratory syndrome, Middle East respiratory syndrome viruses have pushed the US military to fund research and fast track clinical trials to quickly and effectively develop vaccines for emerging diseases. With US military personnel present in every region of the globe, one of the most cost-effective ways to maintain military effectiveness is to develop vaccines against prioritized threats to military members’ health.</text>
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                <text>2018</text>
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                <text>vaccines, military medicine, army, development, History</text>
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                <text>DOI: 10.3389/fimmu.2018.01397</text>
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                <text>Frontiers in Immunology</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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                <text>Frontiers Media S.A.</text>
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                <text>Immunologic diseases. Allergy</text>
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            <description>A language of the resource</description>
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                <text>EN</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>K-mer Content, Correlation, and Position Analysis of Genome DNA Sequences for the Identification of Function and Evolutionary Features</text>
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                <text>Aaron Sievers, Katharina Bosiek, Marc Bisch, Chris Dreessen, Jascha Riedel, Patrick Froß, Michael Hausmann, Georg Hildenbrand</text>
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                <text>In genome analysis, k-mer-based comparison methods have become standard tools. However, even though they are able to deliver reliable results, other algorithms seem to work better in some cases. To improve k-mer-based DNA sequence analysis and comparison, we successfully checked whether adding positional resolution is beneficial for finding and/or comparing interesting organizational structures. A simple but efficient algorithm for extracting and saving local k-mer spectra (frequency distribution of k-mers) was developed and used. The results were analyzed by including positional information based on visualizations as genomic maps and by applying basic vector correlation methods. This analysis was concentrated on small word lengths (1 ≤ k ≤ 4) on relatively small viral genomes of Papillomaviridae and Herpesviridae, while also checking its usability for larger sequences, namely human chromosome 2 and the homologous chromosomes (2A, 2B) of a chimpanzee. Using this alignment-free analysis, several regions with specific characteristics in Papillomaviridae and Herpesviridae formerly identified by independent, mostly alignment-based methods, were confirmed. Correlations between the k-mer content and several genes in these genomes have been found, showing similarities between classified and unclassified viruses, which may be potentially useful for further taxonomic research. Furthermore, unknown k-mer correlations in the genomes of Human Herpesviruses (HHVs), which are probably of major biological function, are found and described. Using the chromosomes of a chimpanzee and human that are currently known, identities between the species on every analyzed chromosome were reproduced. This demonstrates the feasibility of our approach for large data sets of complex genomes. Based on these results, we suggest k-mer analysis with positional resolution as a method for closing a gap between the effectiveness of alignment-based methods (like NCBI BLAST) and the high pace of standard k-mer analysis.</text>
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                <text>2017</text>
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                <text>k-mer, k-mer analysis, Sequence analysis, alignment-free, positional features</text>
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                <text>DOI: 10.3390/genes8040122</text>
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                <text>Genes</text>
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                <text>MDPI AG</text>
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                <text>Genetics</text>
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            <description>A language of the resource</description>
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                <text>EN</text>
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