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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Treatment of Middle East respiratory syndrome with a combination of lopinavir/ritonavir and interferon-β1b (MIRACLE trial): statistical analysis plan for a recursive two-stage group sequential randomized controlled trial</text>
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                <text>Yaseen M. Arabi, Ayed Y. Asiri, Abdullah M. Assiri, Hani A. Aziz Jokhdar, Adel Alothman, Hanan H Balkhy, Sameera Al Johani, Shmeylan Al-Harbi, Suleiman Kojan, Majed Al Jeraisy, Ahmad M. Deeb, Ziad A Memish, Sameeh Ghazal, Sarah Al Faraj, Fahad Al Hameed, Asim AlSaedi, Yasser Mandourah, Ghaleb A. Almekhlafi, Nisreen Murad Sherbeeni, Fatehi Elnour Elzein, Abdullah Almotairi, Ali Al Bshabshe, Ayman Kharaba, Jesna Jose, Abdulrahman AL-Harthy, Mohammed Alsulaiman, Ahmed Mady, Robert A Fowler, Frederick G. Hayden, Abdulaziz Al Dawood, Mohamed Abd Elzaher, Wail Bajhmom, Mohamed A. Hussein, and the Saudi Critical Care Trials group</text>
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                <text>Abstract The MIRACLE trial (MERS-CoV Infection tReated with A Combination of Lopinavir/ritonavir and intErferon-β1b) investigates the efficacy of a combination therapy of lopinavir/ritonavir and recombinant interferon-β1b provided with standard supportive care, compared to placebo provided with standard supportive care, in hospitalized patients with laboratory-confirmed MERS. The MIRACLE trial is designed as a recursive, two-stage, group sequential, multicenter, placebo-controlled, double-blind randomized controlled trial. The aim of this article is to describe the statistical analysis plan for the MIRACLE trial. The primary outcome is 90-day mortality. The primary analysis will follow the intention-to-treat principle. The MIRACLE trial is the first randomized controlled trial for MERS treatment. Trial registration ClinicalTrials.gov, NCT02845843. Registered on 27 July 2016.</text>
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                <text>2020</text>
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                <text>coronavirus, MERS, antiviral, clinical trial, Lopinavir/ritonavir, Interferon-β1b</text>
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                <text>DOI: 10.1186/s13063-019-3846-x</text>
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                <text>Trials</text>
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                <text>BMC</text>
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                <text>Medicine (General)</text>
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                <text>EN</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Analyzing Crude Oil Prices under the Impact of COVID-19 by Using LSTARGARCHLSTM</text>
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                <text>Yasemen UÇAN, Nilgün GÜLER BAYAZIT, Melike Bildirici</text>
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                <text>Under the influence of the COVID-19 pandemic and the concurrent oil conflict between Russia and Saudi Arabia, oil prices have exhibited unusual and sudden changes. For this reason, the volatilities of the West Texas Intermediate (WTI), Brent and Dubai crude daily oil price data between 29 May 2006 and 31 March 2020 are analysed. Firstly, the presence of chaotic and nonlinear behaviour in the oil prices during the pandemic and the concurrent conflict is investigated by using the Shanon Entropy and Lyapunov exponent tests. The tests show that the oil prices exhibit chaotic behavior. Additionally, the current paper proposes a new hybrid modelling technique derived from the LSTARGARCH (Logistic Smooth Transition Autoregressive Generalised Autoregressive Conditional Heteroskedasticity) model and LSTM (long-short term memory) method to analyse the volatility of oil prices. In the proposed LSTARGARCHLSTM method, GARCH modelling is applied to the crude oil prices in two regimes, where regime transitions are governed with an LSTAR-type smooth transition in both the conditional mean and the conditional variance. Separating the data into two regimes allows the efficient LSTM forecaster to adapt to and exploit the different statistical characteristics and ARCH and GARCH effects in each of the two regimes and yield better prediction performance over the case of its application to all the data. A comparison of our proposed method with the GARCH and LSTARGARCH methods for crude oil price data reveals that our proposed method achieves improved forecasting performance over the others in terms of RMSE (Root Mean Square Error) and MAE (Mean Absolute Error) in the face of the chaotic structure of oil prices.</text>
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                <text>2020</text>
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                <text>Time series Forecasting, LSTM, crude oil prices, LSTARGARCH</text>
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                <text>DOI: 10.3390/en13112980</text>
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                <text>Energies</text>
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                <text>MDPI AG</text>
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                <text>Technology</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Covid-19 Enfeksiyonu, Postmortem Süreç ve Defin İşlemleri</text>
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                <text>Yasemin   Balcı, Ümit Ünüvar Göçeoğlu, Satuk Buğra  Yıldırım, Ecesu  Ekinci</text>
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            <description>An account of the resource</description>
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                <text>Çin'de COVID-19 enfeksiyonunun Aralık 2019 tarihinde patlak vermesi ile virüs tüm dünyada hızla yayılan bir pandemi başlatarak, ciddi sağlık sorunları ve ölümlere neden olmuştur. Mart 2020 başı itibariyle Dünya genelinde yüzün üzerinde ülkede görüldüğü bildirilmiştir. Ülkemizde ilk vaka Mart başında saptanmış, günümüze kadar binin üzerinde ölüm bildirilmiştir.   Bu süreçte adli tıp çalışanları olası bir COVID-19 ölümünde ciddi bulaş riski ile karşı karşıya kalmaktadır. Bu çalışma COVID-19 hastalığına neden olan virusün tanımı ve epidemiyolojisi, ölüm sonrası COVID-19 tanısının nasıl konacağı, ölü muayenesi ve otopsi odasında olası riskler ve bu risklerin nasıl azaltılacağı konusunda bir derleme niteliğindedir. Ayrıca COVID-19 enfeksiyonu şüphesinde ölü defin işlemleri ve ölüm belgesi düzenleme ile ilgili ülkemizde yaşanan sıkıntılar tartışılmış ve öneriler sunulmuştur.</text>
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                <text>otopsi, adli tıp, ölü muayenesi, COVID-19, Ölüm belgesi;, Defin işlemleri;</text>
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            <name>Identifier</name>
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                <text>DOI: 10.17986/blm.2020.v25i.1394</text>
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                <text>Adli Tıp Bülteni</text>
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                <text>Adli Tıp Uzmanları Derneği</text>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Medicine (General)</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Mathematical Justification Studies in Mathematics Education: An Evaluation of Studies between 2007 and 2016</text>
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                <text>Yasemin Yilmaz, Ülkü Ayvaz, Nazan MERSİN, Soner DURMUŞ, Hakan Yaman</text>
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                <text>In this study, it was aimed to evaluate the mathematical justification studies in mathematics education between 2007 and 2016. In the study, 31 theses and articles about mathematical justification in mathematics education were analyzed by means of determined databases. In the literature review, the studies were classified according to the method, the study group, the mathematics subject, and the time frame of ten years. As a result of study, mathematical justification studies in mathematics education were carried out mostly in 2009, 2010 and 2016. As a study group, examined studies are composed mostly of students. As a method, qualitative method was used mostly. The tasks related to justification at three different levels of education were included. According to primary, middle and high school levels, the most common areas of learning for which mathematical justification tasks take place are numbers and operations, algebra and numbers and algebra, respectively.</text>
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                <text>2019</text>
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                <text>justification, mathematical justification, Mathematics education</text>
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                <text>DOI: 10.29103/mjml.v2i2.2129</text>
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                <text>Malikussaleh Journal of Mathematics Learning</text>
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                <text>Department of Mathematics Education</text>
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                <text>Education, Mathematics</text>
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              <name>Title</name>
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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Knowledge, attitude and behavior towards COVID-19 among the Turkish healthcare workers</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="64025">
                <text>Yasin Uzuntarla, Sumeyra Ceyhan</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Aim: Coronavirus disease 2019 (COVID-19) cases and the number of deaths linked to this disease have been increasing day by day, turning into a global health problem. Healthcare workers play a key role in the fight against COVID-19. It is aimed to determine the level of knowledge, attitude and behavior of Turkish healthcare workers towards COVID-19. Material and methods: This cross-sectional study was carried out with healthcare workers working in two state hospitals in Ankara and Bingol, Turkey. The participation rate in the survey was 76%, and the survey was completed by 836 healthcare workers. Results: 56.3% of the participants are women, 64.9% are married and 44.9% are nurses. It was found that 85% of the healthcare workers had a medium level of knowledge, 87% had a high level of attitude and 89% had a high level of behavior. In addition, a significant difference was found in the knowledge level of healthcare workers according to monthly income level and profession, and their behaviors by age (p&amp;lt;0.05). Conclusion: There is a significant positive correlation between knowledge, attitude and behavior towards COVID-19. Healthcare workers' training curricula and in-service training should provide information that will improve their knowledge, attitudes and behaviour towards COVID-19.</text>
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                <text>2020</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>Healthcare workers, covid-19, Knowledge, attitude, Behavior</text>
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            <name>Identifier</name>
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              <elementText elementTextId="64029">
                <text>10.23950/jcmk/9271</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="64030">
                <text>Ķazaķstannyṇ Klinikalyķ Medicinasy</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="64031">
                <text>National Scientific Medical Research Center</text>
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            </elementTextContainer>
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            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
            <elementTextContainer>
              <elementText elementTextId="64032">
                <text>Internal medicine, Specialties of internal medicine</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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              <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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              <name>Description</name>
              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
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      <elementSet elementSetId="1">
        <name>Dublin Core</name>
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            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Presentation and outcome of COVID-19 in HIV patients with high viral loads and opportunistic infections: a case series.</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="77378">
                <text>Yasmine O. Hardy, Divine A Amenuke, Kojo A Hutton-Mensah, David R Chadwick, Rita Larsen-Reindorf</text>
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            <description>An account of the resource</description>
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                <text>Coronavirus disease 2019 (COVID-19) is especially severe in patients with underlying chronic conditions, with increased risk of mortality. There is concern that people living with HIV (PLWH), especially those with severe immunosuppression, and COVID-19 may have severe disease and a negative clinical outcome. Most studies on COVID-19 in PLWH are from Asia, Europe and America where population dynamics, antiretroviral treatment coverage and coexisting opportunistic infections may differ from that in sub-Saharan Africa. We report on the clinical profile and outcome of three cases of PLWH co-infected with SARS-CoV-2. They all presented with fever, cough and breathlessness and also had advanced HIV infection as evidenced by opportunistic infections, high HIV viral loads and low CD4 counts. The patients responded favourably to the standard of care and were discharged home. Our findings suggest that PLWH with advanced immunosuppression may not necessarily have an unfavourable disease course and outcome. However, case-controlled studies with a larger population size are needed to better understand the impact of COVID-19 in this patient population. Not declared.</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="77380">
                <text>2020</text>
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            <description>The topic of the resource</description>
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                <text>covid-19, SARS-CoV-2, Ghana, Clinical Outcome, advanced HIV</text>
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            <name>Identifier</name>
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                <text>10.4314/gmj.v54i4s.20</text>
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            <description>A related resource from which the described resource is derived</description>
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                <text>Ghana medical journal</text>
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              <description>A name given to the resource</description>
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                  <text>Agricultura sostenible</text>
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              <name>Description</name>
              <description>An account of the resource</description>
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                  <text>Dominio científico: Agricultura sostenible</text>
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            <description>A name given to the resource</description>
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                <text>Ciencia, tecnología y sostenibilidad. Un debate pendiente en Cuba</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="141139">
                <text>Yasminka Bombus Cabello</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>El presente artículo trata sobre un grupo de temáticas que, interrelacionadas entre sí, han dado pie a grandes debates en la contemporaneidad: el desarrollo científico-tecnológico, los Organismos Genéticamente Modificados, la bioética y el desarrollo sostenible. A partir del estudio específico del contexto cubano, se abordan cuestiones relacionadas con la sostenibilidad de la ciencia de frente a los OGM; el impacto ambiental de las vacunas genéticamente modificadas y su relación con el Medio Ambiente; la propuesta de la bioética y la educación ciudadana como impulsora de la sostenibilidad. De manera general se aborda la influencia que ha tenido la ciencia cubana en el desarrollo ambiental, haciendo especial énfasis en las repercusiones de la transgénesis en Cuba; y se proponen algunas claves para promover un desarrollo sostenible desde la ciencia cubana.</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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            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="141142">
                <text>Bioética, ciência, desarrollo sostenible, medio ambiente, tecnología, transgênicos</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="141143">
                <text>Estudios del Desarrollo Social: Cuba y América Latina</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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                <text>Facultad Latinoamericana de Ciencias Sociales, Programa Cuba</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>Social Sciences, Social sciences (General)</text>
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            <name>Relation</name>
            <description>A related resource</description>
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                <text>&lt;a href="http://www.revflacso.uh.cu/index.php/EDS/article/view/115" target="_blank" rel="noreferrer noopener"&gt;http://www.revflacso.uh.cu/index.php/EDS/article/view/115&lt;/a&gt;</text>
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              <description>A name given to the resource</description>
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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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      <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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                <text>Microestructura cuticular y medular del pelo de guardia de mamíferos pequeños terrestres en la región de Arequipa, Perú</text>
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                <text>Yasmy K. Medina, César E. Medina, Evaristo López</text>
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            <description>An account of the resource</description>
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                <text>Actualmente, el estudio de pelos de guardia está siendo utilizado en diversas áreas de las ciencias básicas y aplicadas (taxonomía, ecología, genética, paleontología, criminalística, entre otras), debido a su resistencia a factores físicos, químicos, mecánicos y biológicos, conservando su estructura cuticular y medular. Dichas estructuras forman patrones que permiten la identificación de especímenes a nivel de géneros y familias. Sin embargo, a pesar de la importancia, no hay estudios sobre este tema en Perú. Por ello, con el fin de llenar este vacío de información, se examinaron muestras de 30 especies de mamíferos de la región de Arequipa, correspondientes a los órdenes Didelphimorphia y Rodentia, donde encontramos 5 patrones medulares y 8 cuticulares. Los marsupiales didélfidos presentan un patrón medular uniseriado escaleriforme con un patrón cuticular foliáceo. En los roedores, los cricétidos tienen un patrón medular multiseriado alveolar y un patrón cuticular foliáceo, los chinchílidos un patrón medular reticular con patrón cuticular pétalo diamante tipo D, los cávidos un patrón medular reticular con patrón cuticular ondeado transversal, los abrocómidos un patrón medular listrado con patrón cuticular ondeado oblicuo simple, y los múridos un patrón medular reticular y alveolar con patrón cuticular pétalo diamante (tipo B y C) y foliáceo. Presentamos por primera vez la descripción detallada de la cutícula y médula de los pelos de guardia de 24 especies de roedores y 2 marsupiales.</text>
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                <text>2019</text>
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                <text>Médula, cutícula, mamífero, marsupial, roedor</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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                <text>10.15381/rpb.v26i1.15909</text>
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            <description>A related resource from which the described resource is derived</description>
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                <text>Revista Peruana de Biología</text>
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                <text>Universidad Nacional Mayor de San Marcos</text>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Biology (General), Science</text>
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            <description>A related resource</description>
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                <text>&lt;a href="https://revistasinvestigacion.unmsm.edu.pe/index.php/rpb/article/view/15896" target="_blank" rel="noreferrer noopener"&gt;https://revistasinvestigacion.unmsm.edu.pe/index.php/rpb/article/view/15896&lt;/a&gt;</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Management of Severe COVID-19 in Pregnancy</text>
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                <text>Yassamine Abourida, Houssam Rebahi, Imane Oussayeh, Hajar Chichou, Bouchra Fakhir, Abderraouf Soummani, Hicham Jalal, Fatiha Bennaoui, Nadia El Idrissi Slitine, Fadl Mrabih Rabou Maoulainine, Ahmed Rhassane El Adib, Mohamed Abdenacer Samkaoui</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="43777">
                <text>The scarcity of data concerning pregnant patients gravely infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) makes their management difficult, as most of the reported cases in the literature present mild pneumonia symptoms. The core problem is laying out evidence on coronavirus’s implications on pregnancy and delivery, as well as vertical transmission and neonatal mortality. A healthy 30-year-old pregnant woman, gravida 6, para 4, at 31 weeks of gestation, presented severe pneumonia symptoms promptly complicated with premature rupture of membranes (PROM). A nasopharyngeal swab returned positive for SARS-CoV-2 using reverse transcription polymerase chain reactions (RT-PCR). The parturient underwent a cesarean delivery. This paper is an attempt to outline management of the critical condition of COVID-19 during pregnancy.</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="43778">
                <text>2020</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="43779">
                <text>10.1155/2020/8852816</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="43780">
                <text>Case Reports in Obstetrics and Gynecology</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="43781">
                <text>Hindawi Limited</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="43782">
                <text>Gynecology and obstetrics</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
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  <item itemId="1102" public="1" featured="0">
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      <file fileId="1102">
        <src>https://socictopen.socict.org/files/original/9de0997bebc84e77a4951f6161255a58.pdf</src>
        <authentication>5d2d0866ef3c854b44ff017652810be8</authentication>
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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="10486">
                <text>Matataki: an ultrafast mRNA quantification method for large-scale reanalysis of RNA-Seq data</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="10487">
                <text>Yasunobu Okamura, Kengo Kinoshita</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="10488">
                <text>Abstract Background Data generated by RNA sequencing (RNA-Seq) is now accumulating in vast amounts in public repositories, especially for human and mouse genomes. Reanalyzing these data has emerged as a promising approach to identify gene modules or pathways. Although meta-analyses of gene expression data are frequently performed using microarray data, meta-analyses using RNA-Seq data are still rare. This lag is partly due to the limitations in reanalyzing RNA-Seq data, which requires extensive computational resources. Moreover, it is nearly impossible to calculate the gene expression levels of all samples in a public repository using currently available methods. Here, we propose a novel method, Matataki, for rapidly estimating gene expression levels from RNA-Seq data. Results The proposed method uses k-mers that are unique to each gene for the mapping of fragments to genes. Since aligning fragments to reference sequences requires high computational costs, our method could reduce the calculation cost by focusing on k-mers that are unique to each gene and by skipping uninformative regions. Indeed, Matataki outperformed conventional methods with regards to speed while demonstrating sufficient accuracy. Conclusions The development of Matataki can overcome current limitations in reanalyzing RNA-Seq data toward improving the potential for discovering genes and pathways associated with disease at reduced computational cost. Thus, the main bottleneck of RNA-Seq analyses has shifted to achieving the decompression of sequenced data. The implementation of Matataki is available at https://github.com/informationsea/Matataki.</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="10489">
                <text>2018</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="10490">
                <text>RNA-Seq, mapping, gene expression</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="10491">
                <text>DOI: 10.1186/s12859-018-2279-y</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="10492">
                <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="10493">
                <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="10494">
                <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="10495">
                <text>EN</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
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    </elementSetContainer>
  </item>
</itemContainer>
