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                  <text>Dominio científico: Coronavirus</text>
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                <text>Student’s Responses on Learning in the Early COVID-19 Pandemic</text>
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                <text>Wildana Wargadinata, Iffat Maimunah, Eva Dewi, Zainur Rofiq</text>
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                <text>The coronavirus disease (COVID-19) pandemic forced many universities to apply online learning. The purpose of this study was to break down the online learning process in the early pandemic as well as effective and optimal online learning. The design of this research is descriptive qualitative research. The data were collected through observation, questionnaires, interviews, and documentation. Interestingly, this study found online learning using the WhatsApp Group to be the most effective in the early COVID-19 pandemic. WhatsApp is easy, simple, and does not require a large data quota package. Through WhatsApp accounts, learning took place optimally because students and lecturers could communicate and share PowerPoint files, Microsoft Word files, JPGs, Voice Notes, Videos, and other learning resource links. The study recommends that other researchers uncover the solution to obstacles experienced by students in online learning and the development of other media to implement effective online lectures.</text>
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                <text>covid-19, Pandemic, online learning, student’s response</text>
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                <text>10.24042/tadris.v5i1.6153</text>
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                <text>Tadris: Jurnal Keguruan dan Ilmu Tarbiyah</text>
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                <text>Universitas Islam Negeri Raden Intan Lampung</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Mediated Arabic Language Learning for Higher Education in COVID-19 Situation</text>
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                <text>Wildana Wargadinata, Iffat Maimunah, Suci Ramadhanti Febriani, Luluk Humaira</text>
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                <text>The COVID-19 emergency situation has affected all citizens of the world, including Indonesia and also all non-formal and formal educational institutions, such as higher educations. The Learning Process in various educational units, including tertiary institutions, experienced a total change to the use of internet or online media. The present article examines the media and the Arabic learning process at the university in the COVID-19 pandemic situation. The COVID-19 pandemic situation changed the way of learning Arabic students at UIN Maulana Malik Ibrahim Malang from conventional offline learning to learning using internet media online. This research is a qualitative descriptive study. The data are obtained through observation, questionnaires distributed through Google forms, online interviews through social media, and documentation. The result shows that the majority of students use the WhatsApp application, and most of them study autonomously through online platforms. Besides, it reveals that the most popular learning material is video. To improve their language skills, students are more likely to have peer-discussion activities. The study discovered a shift in Arabic learning by students of UIN Maulana Malik Ibrahim Malang from personal to instrumental as a result of the current COVID-19 pandemic situation. In this case, there was a transformation in Arabic learning from a personal-cultural approach to an instrumental-functional approach. This research has implications regarding the ideal Arabic learning process in the conditions of the COVID-19 pandemic. The shift also took place in the degree of teachers' dependence towards dependence on technology during the pandemic situation.</text>
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                <text>covid-19, media, arabic language learning</text>
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                <text>Izdihar</text>
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                <text>Program Studi Pendidikan Bahasa Arab</text>
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                <text>Oriental languages and literatures</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Potential of Flavonoid-Inspired Phytomedicines against COVID-19</text>
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                <text>Wilfred Ngwa, Rajiv Kumar, Daryl Thompson, William Lyerly, Roscoe Moore, Terry-Elinor Reid, Henry Lowe, Ngeh Toyang</text>
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                <text>Flavonoids are widely used as phytomedicines. Here, we report on flavonoid phytomedicines with potential for development into prophylactics or therapeutics against coronavirus disease 2019 (COVID-19). These flavonoid-based phytomedicines include: caflanone, Equivir, hesperetin, myricetin, and Linebacker. Our in silico studies show that these flavonoid-based molecules can bind with high affinity to the spike protein, helicase, and protease sites on the ACE2 receptor used by the severe acute respiratory syndrome coronavirus 2 to infect cells and cause COVID-19. Meanwhile, in vitro studies show potential of caflanone to inhibit virus entry factors including, ABL-2, cathepsin L, cytokines (IL-1β, IL-6, IL-8, Mip-1α, TNF-α), and PI4Kiiiβ as well as AXL-2, which facilitates mother-to-fetus transmission of coronavirus. The potential for the use of smart drug delivery technologies like nanoparticle drones loaded with these phytomedicines to overcome bioavailability limitations and improve therapeutic efficacy are discussed.</text>
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                <text>covid-19, SARS-CoV-2, phytomedicine, smart nanoparticles, flavonoids and their derivatives</text>
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                <text>10.3390/molecules25112707</text>
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                <text>Biotemas</text>
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                <text>Universidade Federal de Santa Catarina</text>
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                <text>Organic chemistry</text>
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                  <text>Agricultura sostenible</text>
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              <description>An account of the resource</description>
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                  <text>Dominio científico: Agricultura sostenible</text>
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                <text>Moluscos terrestres de las elevaciones cársticas de Viñales, Pinar del Río, Cuba</text>
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                <text>Wilfredo Oliva-Olivera, Raimundo Real</text>
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                <text>De acuerdo a los muestreos efectuados en localidades representativas de las elevaciones cársticas de Viñales (Cuba), la consulta de catálogos no automatizados de colecciones malacológicas y la revisión de la literatura, se dan a conocer 136 especies, agrupadas en 49 géneros y 19 familias, de moluscos terrestres procedentes de la región. El 90% de las especies identificadas son endémicas de Cuba y sólo cinco especies no son autóctonas del archipiélago cubano. Las familias mejor representadas son Annulariidae y Urocoptidae. Los géneros con mayor número de especies son Chondrothyra y Liocallonia. Cuarenta y cuatro especies detectadas en Viñales no estaban representadas en las colecciones consultadas, y 23 de ellas han sido recolectadas en este trabajo y aportadas a las colecciones del Instituto de Ecología y Sistemática de Cuba. Se dan a conocer 16 nuevos registros de especies en localidades de la región, mientras que 12 especies parecen haberse extinguido localmente.Land snails from the Viñales limestone highlands, Pinar del Río, Cuba. The land snails inhabiting the limestone highlands in Cuba are poorly known. From field surveys, traditional collection catalogues, and the literature, we list 136 species, 49 genera and 19 families, 90 % of the species endemic to Cuba; only five species are non-indigenous of the Cuban archipelago. Annulariidae and Urocoptidae are the most represented families, and Chondrothyra and Liocallonia are the genera with the highest number of species. Forty-four species of this list were absent from the consulted collections. We provide 16 new records of species in localities of the region; and 12 species seem to have become locally extinct. Rev. Biol. Trop. 57 (3): 589-604. Epub 2009 September 30.</text>
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                <text>2009</text>
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                <text>Cuba, Viñales, colecciones malacológicas, distribución, distribution, diversidad de especies, gasterópodos, gastropods, malacological collections, species diversity</text>
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                <text>Revista de Biología Tropical</text>
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                <text>Vicerractoría Investigación</text>
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                <text>Biology (General)</text>
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                <text>&lt;a href="http://www.scielo.sa.cr/scielo.php?script=sci_arttext&amp;amp;pid=S0034-77442009000300011" target="_blank" rel="noreferrer noopener"&gt;http://www.scielo.sa.cr/scielo.php?script=sci_arttext&amp;amp;pid=S0034-77442009000300011&lt;/a&gt;</text>
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                  <text>Dominio científico: Agricultura sostenible</text>
                </elementText>
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      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>La diversidad genética de quinua: potenciales usos en el mejoramiento y agroindustria</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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                <text>Wilfredo Rojas, Amalia Vargas Mena, Milton Pinto Porcel</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>La quinua es un cultivo estratégico para producir alimentos de calidad, con efectos beneficiosos para la nutrición y la salud. Los objetivos fueron evaluar la diversidad del valor nutritivo y agroindustrial del germoplasma de quinua, seleccionar y obtener variedades con características favorables para el desarrollo de productos agroindustriales en la elaboración de productos como pastas, flanes, budines, instantáneos, expandidos y mezclas con cereales y leguminosas aprovechando el carácter funcional de la quinua. Para evaluar la diversidad se revisó la información de 555 accesiones y para la selección se evaluaron 13 variedades y dos líneas de quinua. Los análisis fueron realizados en los laboratorios LAYSAA y el IIQ – UMSA. Las variables fueron proteína, grasa, fibra, ceniza, carbohidratos, energía calórica, contenido de hierro, almidón, amilosa, amilopectina y diámetro de gránulo. Los resultados de la diversidad genética del germoplasma, indican que la proteína fluctúo de 10,21 a 18,39%, el contenido de grasa de 2,05 a 10,88% y el tamaño de gránulo de almidón de 1 a 28 μ. Por otra parte, las variedades y líneas reportaron un mismo patrón de aminoácidos esenciales, donde la leucina fluctuó de 46,0 a 58,5 y la lisina de 42,0 a 53,3 mg g-1 de proteína; asimismo, del total de ácidos grasos presentes, cinco de ellos en conjunto contienen de 86,60 a 91,84%, tres son insaturados (oleico, linoleico y linolénico) y dos saturados (palmítico y esteárico). El almidón fluctuó entre 39,2 a 61,5%, la amilosa de 10,5 a 21,5% y la amilopectina de 78,5 a 89,5%. Las líneas seleccionadas pueden ser una alternativa para los programas de desnutrición y lactancia materno - infantil.</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="214405">
                <text>Agroindústria, Mejoramiento, quinua, valor nutritivo, variedades</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="214406">
                <text>Revista de Investigación e Innovación Agropecuaria y de Recursos Naturales</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="214407">
                <text>Universidad Mayor de San Andrés</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="38">
            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Agriculture (General), Plant culture</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="46">
            <name>Relation</name>
            <description>A related resource</description>
            <elementTextContainer>
              <elementText elementTextId="214409">
                <text>&lt;a href="http://riiarn.agro.umsa.bo/index.php/RIIARn/article/view/65" target="_blank" rel="noreferrer noopener"&gt;http://riiarn.agro.umsa.bo/index.php/RIIARn/article/view/65&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>Agricultura sostenible</text>
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              <name>Description</name>
              <description>An account of the resource</description>
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                  <text>Dominio científico: Agricultura sostenible</text>
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              </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="165337">
                <text>Kuna Yala, Tierra de Mar. Ecología y Territorio Indígena en Panamá (Mónica Martínez Mauri)</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="165338">
                <text>Wilian de Jesús Aguilar Cordero</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="165339">
                <text>Antes de comentar esta valiosa obra etnográfica, considero necesario retomar las preguntas que hace Guber en su libro “La etnografía, método, campo y reflexividad”, “¿Acaso vale la pena escribir un volumen sobre trabajo de campo etnográfico en los albores del siglo XXI? ¿Por qué alentar una metodología artesanal en la era de la informática, las encuestas de opinión y el Internet sólo para conocer de primera mano cómo viven y piensan los distintos pueblos de la Tierra?”</text>
              </elementText>
            </elementTextContainer>
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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="165340">
                <text>2013</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="165341">
                <text>Antropólogos Iberoamericanos en Red</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="165342">
                <text>Antropólogos Iberoamericanos en Red</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="165343">
                <text>Geography. Anthropology. Recreation, Anthropology</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="46">
            <name>Relation</name>
            <description>A related resource</description>
            <elementTextContainer>
              <elementText elementTextId="165344">
                <text>&lt;a href="http://www.aibr.org/antropologia/netesp/numeros/0801/080106.pdf" target="_blank" rel="noreferrer noopener"&gt;http://www.aibr.org/antropologia/netesp/numeros/0801/080106.pdf&lt;/a&gt;</text>
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  <item itemId="2922" public="1" featured="0">
    <fileContainer>
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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>
          <elementContainer>
            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="1">
                  <text>Coronavirus</text>
                </elementText>
              </elementTextContainer>
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            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
              <elementTextContainer>
                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
                </elementText>
              </elementTextContainer>
            </element>
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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>
    </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="27425">
                <text>Coronavirus-positive Nasopharyngeal Aspirate as Predictor for Severe Acute Respiratory Syndrome Mortality</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="27426">
                <text>Wilina Lim, Wai-Cho Yu, Owen Tak-yin Tsang, Sik To Lai, Tai-Nin Chau, Kin-Wing Choi, Eugene Yuk-Keung Tso, Ming-Chi Chiu, Wing-Lok Tong, Po-Oi Lee, Bosco Hoi Shiu Lam, Tak-Keung Ng, Jak-Yiu Lai</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="27427">
                <text>Severe acute respiratory syndrome (SARS) has caused a major epidemic worldwide. A novel coronavirus is deemed to be the causative agent. Early diagnosis can be made with reverse transcriptase-polymerase chain reaction (RT-PCR) of nasopharyngeal aspirate samples. We compared symptoms of 156 SARS-positive and 62 SARS-negative patients in Hong Kong; SARS was confirmed by RT-PCR. The RT-PCR–positive patients had significantly more shortness of breath, a lower lymphocyte count, and a lower lactate dehydrogenase level; they were also more likely to have bilateral and multifocal chest radiograph involvement, to be admitted to intensive care, to need mechanical ventilation, and to have higher mortality rates. By multivariate analysis, positive RT-PCR on nasopharyngeal aspirate samples was an independent predictor of death within 30 days.</text>
              </elementText>
            </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="27428">
                <text>2003</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="27429">
                <text>China, Hong Kong, severe acute respiratory syndrome, Coronavirus infection, SARS virus</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="27430">
                <text>DOI: 10.3201/eid0911.030400</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="27431">
                <text>Emerging Infectious Diseases</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="27432">
                <text>Centers for Disease Control and Prevention</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="27433">
                <text>Infectious and parasitic diseases, Medicine</text>
              </elementText>
            </elementTextContainer>
          </element>
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  <item itemId="7706" public="1" featured="0">
    <fileContainer>
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        <src>https://www.socictopen.socict.org/files/original/8612941980e3d7696017e1d0d6519864.pdf</src>
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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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              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
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                  <text>Coronavirus</text>
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              </elementTextContainer>
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            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
              <elementTextContainer>
                <elementText elementTextId="2">
                  <text>Dominio científico: Coronavirus</text>
                </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="67518">
                <text>COVID-19: para que la ciencia triunfe sobre la enfermedad</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="67519">
                <text>Wilkie Delgado Correa</text>
              </elementText>
            </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="67520">
                <text>2020</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="67521">
                <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="67522">
                <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="67523">
                <text>Science, Science (General)</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
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  <item itemId="1300" public="1" featured="0">
    <fileContainer>
      <file fileId="1300">
        <src>https://www.socictopen.socict.org/files/original/897e4537bf85966c03dfbaa0f6a7b64c.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="12418">
                <text>Streaming histogram sketching for rapid microbiome analytics</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="12419">
                <text>Will P. M. Rowe, Anna Paola Carrieri, Cristina Alcon-Giner, Shabhonam Caim, Alex Shaw, Kathleen Sim, J. Simon Kroll, Lindsay J Hall, Edward O. Pyzer-Knapp, Martyn D. Winn</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="12420">
                <text>Abstract Background The growth in publically available microbiome data in recent years has yielded an invaluable resource for genomic research, allowing for the design of new studies, augmentation of novel datasets and reanalysis of published works. This vast amount of microbiome data, as well as the widespread proliferation of microbiome research and the looming era of clinical metagenomics, means there is an urgent need to develop analytics that can process huge amounts of data in a short amount of time. To address this need, we propose a new method for the compact representation of microbiome sequencing data using similarity-preserving sketches of streaming k-mer spectra. These sketches allow for dissimilarity estimation, rapid microbiome catalogue searching and classification of microbiome samples in near real time. Results We apply streaming histogram sketching to microbiome samples as a form of dimensionality reduction, creating a compressed ‘histosketch’ that can efficiently represent microbiome k-mer spectra. Using public microbiome datasets, we show that histosketches can be clustered by sample type using the pairwise Jaccard similarity estimation, consequently allowing for rapid microbiome similarity searches via a locality sensitive hashing indexing scheme. Furthermore, we use a ‘real life’ example to show that histosketches can train machine learning classifiers to accurately label microbiome samples. Specifically, using a collection of 108 novel microbiome samples from a cohort of premature neonates, we trained and tested a random forest classifier that could accurately predict whether the neonate had received antibiotic treatment (97% accuracy, 96% precision) and could subsequently be used to classify microbiome data streams in less than 3 s. Conclusions Our method offers a new approach to rapidly process microbiome data streams, allowing samples to be rapidly clustered, indexed and classified. We also provide our implementation, Histosketching Using Little K-mers (HULK), which can histosketch a typical 2 GB microbiome in 50 s on a standard laptop using four cores, with the sketch occupying 3000 bytes of disk space. (https://github.com/will-rowe/hulk).</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="12421">
                <text>2019</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="12422">
                <text>DOI: 10.1186/s40168-019-0653-2</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="12423">
                <text>Microbiome</text>
              </elementText>
            </elementTextContainer>
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                <text>Finance, Risk in industry. Risk management</text>
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