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                <text>Krzysztof Goniewicz, Amir Khorram-Manesh</text>
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                <text>The analyses of the European Centre for Disease Prevention and Control and an increasing amount of scientific research show that the spread of SARS-CoV-2 may be limited by maintaining social distancing, appropriate hand hygiene, and following the basic principles of prophylaxis. While simulating models applied to social distancing have all been tested and evaluated, the implementation of its guidelines in different traditions and cultures has not been discussed sufficiently. Consequently, applying social distancing guidelines alone may not be enough to contain the spread of the coronavirus. This brief report aims to clarify the role of cultural and behavioral differences in the diverse outcomes of COVID-19 management.</text>
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                <text>Krzysztof Woźniak, Wojciech Sachs, Piotr Boguradzki, Grzegorz Władysław Basak, Rafał Stec</text>
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                <text>COVID-19 has become the biggest public health problem and one of the most important causes of death in many countries in the world. SARS-CoV-2 infection is most likely to be fatal in elderly patients with concomitant diseases. In this article we present two cases of asymptomatic SARS-CoV-2-positive patients suffering from cancer who were treated with chemotherapy. The first case, a patient with primary mediastinal B-cell lymphoma, shows that confirmed SARS-CoV-2 infection does not have to be a contraindication to chemotherapy. We describe the course of disease and discuss doubts related to the choice of chemotherapy regimen. The second patient was a male with metastatic sigmoid cancer treated with FOLFOX4 as first-line palliative chemotherapy. This case draws attention to asymptomatic SARS-CoV-2 carriers who underwent chemotherapy. Our patient was safely treated with chemotherapy without long break caused by viral infection. It should be remembered that there are asymptomatic carriers among cancer patients and that they may spread infection to others. On the other hand, delaying chemotherapy can cause rapid disease progression and reduce overall survival of our patients.</text>
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                <text>Korean Society of Epidemiology</text>
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                <text>Neoplasms. Tumors. Oncology. Including cancer and carcinogens</text>
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                <text>ВИДІЛЕННЯ ЗОН РОЗПОВСЮДЖЕННЯ ЗАХВОРЮВАНОСТІ НА КОРОНАВІРУС COVID-19 НА ОСНОВІ МЕТОДІВ КЛАСТЕРНОГО АНАЛІЗУ</text>
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                <text>Kseniia Bazilevych, Ievgen Meniailov, Dmytro Chumachenko</text>
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                <text>Предмет: використання математичного апарату нейронних мереж для наукового обгрунтування протиепідемічних заходів з метою зниження захворюваності при прийнятті ефективних управлінських рішень. Ціль: застосувати кластерний аналіз, на основі нейронної мережі, для вирішення задачі виділення зон розповсюдження захворюваності. Задачі: проаналізувати методи аналізу даних для вирішення задачі кластеризації; розробити нейромережевий метод кластеризації територій України за характером епідемічного процесу COVID-19; на основі розробленого методу реалізувати програмний додаток аналізу даних для виділення зон розповсюдження захворюваності на прикладі коронавірусу COVID-19. Методи: моделі та методи аналізу даних, моделі та методи теорії систем (на базі інформаційного підходу), методи машинного навчання, зокрема метод Adaptive Boosting (на основі методу градієнтного спуску), методи навчання нейронних мереж. Результати: були використані розподілені по областям України дані Центру громадського здоров’я МОЗ України про захворюваність на COVID-19, кількість лабораторно обстежених осіб, кількість проведених лабораторних досліджень методами ПЦР та ІФА, кількість проведених лабораторних досліджень IgA, IgM, IgG; в моделі використані дані з березня 2020 по грудень 2020, при моделюванні не враховані дані з тимчасово окупованих територій України; для кластерного аналізу побудована нейронна мережа з 60 вхідними нейронами, 100 прихованими нейронами з активаційною функцією Фермі та 4 вихідними нейронами; для програмної реалізації моделі використана мова програмування Python. Висновки: проведено аналіз методів побудови нейронних мереж; аналіз методів навчання нейронних мереж, у тому числі методу градієнтного спуску; всі теоретичні вiдомостi, описанi в цiй роботi, були використанi для реалiзації програмного продукту обробки даних тестування на COVID-19 в Україні; було проведено розбиття областей України на зони зараження вірусом COVID-19 та представлено карту цього розбиття.</text>
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                <text>covid-19, кластерний аналіз, нейронна мережа, машинне навчання, епідемічний процес</text>
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                <text>Сучасний стан наукових досліджень та технологій в промисловості</text>
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                <text>Kharkiv National University of Radio Electronics</text>
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                <text>Engineering economy</text>
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                <text>Ksenija Geršak, MD, PhD</text>
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                <text>DOI: 10.6016/ZdravVestn.3062</text>
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                <text>Zdravniški Vestnik</text>
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                <text>Slovenian Medical Association</text>
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                <text>Salinity modulates thermotolerance, energy metabolism and stress response in amphipods Gammarus lacustris</text>
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                <text>Kseniya P. Vereshchagina, Yulia A. Lubyaga, Zhanna Shatilina, Daria Bedulina, Anton Gurkov, Denis V Axenov-Gribanov, Boris Baduev, Elizaveta S. Kondrateva, Mikhail Gubanov, Egor Zadereev, Inna Sokolova, Maxim Timofeyev</text>
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                <text>Temperature and salinity are important abiotic factors for aquatic invertebrates. We investigated the influence of different salinity regimes on thermotolerance, energy metabolism and cellular stress defense mechanisms in amphipods Gammarus lacustris Sars from two populations. We exposed amphipods to different thermal scenarios and determined their survival as well as activity of major antioxidant enzymes (peroxidase, catalase, glutathione S-transferase) and parameters of energy metabolism (content of glucose, glycogen, ATP, ADP, AMP and lactate). Amphipods from a freshwater population were more sensitive to the thermal challenge, showing higher mortality during acute and gradual temperature change compared to their counterparts from a saline lake. A more thermotolerant population from a saline lake had high activity of antioxidant enzymes. The energy limitations of the freshwater population (indicated by low baseline glucose levels, downward shift of the critical temperature of aerobic metabolism and inability to maintain steady-state ATP levels during warming) was observed, possibly reflecting a trade-off between the energy demands for osmoregulation under the hypo-osmotic condition of a freshwater environment and protection against temperature stress.</text>
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                <text>thermal tolerance, salinity, Gammarus lacustris, adaptation, Amphipoda</text>
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                <text>DOI: 10.7717/peerj.2657</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Nonspecific stress response to temperature increase in Gammarus lacustris Sars with respect to oxygen-limited thermal tolerance concept</text>
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                <text>Kseniya Vereshchagina, Elizaveta Kondrateva, Denis Axenov-Gribanov, Zhanna Shatilina, Andrey Khomich, Daria Bedulina, Egor Zadereev, Maxim Timofeyev</text>
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                <text>The previously undescribed dynamics of the heat shock protein HSP70 and subsequent lipid peroxidation products have been assessed alongside lactate dehydrogenase activity for Gammarus lacustris Sars, an amphipod species from the saltwater Lake Shira (Republic of Khakassia). Individuals were exposed to a gradual temperature increase of 1 °C/hour (total exposure duration of 26 hours) starting from the mean annual temperature of their habitat (7 °C) up to 33 °C. A complex of biochemical reactions occurred when saltwater G. lactustris was exposed to the gradual changes in temperature. This was characterized by a decrease in lactate dehydrogenase activity and the launching of lipid peroxidation. The HSP70 level did not change significantly during the entire experiment. In agreement with the concept of oxygen-limited thermal tolerance, an accumulation of the most toxic lipid peroxides (triene conjugates and Schiff bases) in phospholipids occurred at the same time and temperature as the accumulation of lactate. The main criterion overriding the temperature threshold was, therefore, the transition to anaerobiosis, confirmed by the elevated lactate levels as observed in our previous associated study, and by the development of cellular stress, which was expressed by an accumulation of lipid peroxidation products. An earlier hypothesis, based on freshwater individuals of the same species, has been confirmed whereby the increased thermotolerance of G. lacustris from the saltwater lake was caused by differences in energy metabolism and energy supply of nonspecific cellular stress-response mechanisms. With the development of global climate change, these reactions could be advantageous for saltwater G. lacustris. The studied biochemical reactions can be used as biomarkers for the stress status of aquatic organisms when their habitat temperature changes.</text>
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                <text>2018</text>
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                <text>Gammarus lacustris, Heat shock proteins 70 (HSP70), Nonspecific cellular stress-response (NCSR), lactate-dehydrogenase, diene conjugates, Schiff bases</text>
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                <text>DOI: 10.7717/peerj.5571</text>
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                <text>Medicine</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>One health: The interface between veterinary and human health</text>
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              <elementText elementTextId="3681">
                <text>Kshitiz Shrestha, Krishna Prasad Acharya, Sujan Shrestha</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>One Health is an emerging global key concept integrating human and animal health through international research and policy. The complex relationships between the human and animal have resulted in a human-animal-environment interface since prehistorical times. The people, animals, plants, and the environment are so intrinsically linked that prevention of risks and the mitigation of effects of crises that originate at the interface between humans, animals, and their environments can only improve health and wellbeing. The “One Health” approach has been successfully implemented in numerous projects around the world. The containment of pandemic threats such as avian influenza and severe acute respiratory syndrome within months of outbreak are few examples of successful applications of the One Health paradigm. The paper begins with a brief overview of the human-animal interface and continues with the socio-economic and public health impact caused by various zoonotic diseases such as Middle East respiratory syndrome, Influenza, and Ebola virus. This is followed by the role of “One Health” to deal the global problem by the global solution. It emphasizes the interdisciplinary collaboration, training for health professionals and institutional support to minimize global health threats due to infectious diseases. The broad definition of the concept is supposed to lead multiple interpretations that impede the effective implementation of One Health approach within veterinary profession, within the medical profession, by wildlife specialists and by environmentalists, while on the other side, it gives a value of interdisciplinary collaboration for reducing threats in human-animal-environment interface.</text>
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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>emerging infectious diseases, One Health, viral zoonoses</text>
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            <description>An unambiguous reference to the resource within a given context</description>
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                <text>DOI: 10.14202/IJOH.2018.8-14</text>
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              <elementText elementTextId="3686">
                <text>International Journal of One Health</text>
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            <description>An entity responsible for making the resource available</description>
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                <text>Veterinary World</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), Medicine</text>
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            <description>A language of the resource</description>
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              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Proposed measures to be taken by ophthalmologists during the coronavirus disease 2019 pandemic: Experience from Chang Gung Memorial Hospital, Linkou, Taiwan</text>
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              <elementText elementTextId="33842">
                <text>Kuan-Jen Chen, Hung-Chi Chen, Wei-Chi Wu, Chi-Chun Lai, Yih-Shiou Hwang, Xiao Chunling, Eugene Yu-Chuan Kang, Jui-Yen Lin, Po-Han Yeh</text>
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                <text>PURPOSE: Although Taiwan was one of the first countries to develop coronavirus disease 2019 (COVID-19), with effective antiepidemic measures, Taiwan has effectively controlled the spread of the disease. The purpose of this article is to provide useful safety strategies for ophthalmologists in daily practice during the COVID-19 pandemic. MATERIALS AND METHODS: Infection control strategies in the hospital and Department of Ophthalmology, Chang Gung Memorial Hospital, Linkou, are discussed. RESULTS: Ophthalmologists are at high risk of contracting COVID-19 infection, as they have close contact with patients during ocular examinations, and are also facing high patient volume in outpatient clinics as well as emergency consultations. Furthermore, ocular symptoms, such as conjunctivitis, may be the presenting signs of COVID-19 infection. We provide our strategies, which include hospital's gate control with triage station, patient volume control, proper personal protective equipment, and consultation with telemedicine technology, to decrease the risk of cross-infection between medical staffs and patients. CONCLUSION: To achieve the goal of preventing viral spread and maximizing patient and medical staffs' safety, besides providing proper protective equipment, it is also crucial for staffs and patients to strictly follow antiepidemic measures. We hope that our experience can help ophthalmologists and health-care workers to have a safer working environment when facing COVID-19 pandemic.</text>
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                <text>2020</text>
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                <text>Taiwan, coronavirus, Ophthalmology, corona virus disease 2019</text>
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                <text>DOI: 10.4103/tjo.tjo_21_20</text>
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            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="33847">
                <text>Taiwan Journal of Ophthalmology</text>
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                <text>Wolters Kluwer Medknow Publications</text>
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                <text>Ophthalmology</text>
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        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="14599">
                <text>Estimating the total genome length of a metagenomic sample using k-mers</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="14600">
                <text>Kui Hua, Xuegong Zhang</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="14601">
                <text>Abstract Background Metagenomic sequencing is a powerful technology for studying the mixture of microbes or the microbiomes on human and in the environment. One basic task of analyzing metagenomic data is to identify the component genomes in the community. This task is challenging due to the complexity of microbiome composition, limited availability of known reference genomes, and usually insufficient sequencing coverage. Results As an initial step toward understanding the complete composition of a metagenomic sample, we studied the problem of estimating the total length of all distinct component genomes in a metagenomic sample. We showed that this problem can be solved by estimating the total number of distinct k-mers in all the metagenomic sequencing data. We proposed a method for this estimation based on the sequencing coverage distribution of observed k-mers, and introduced a k-mer redundancy index (KRI) to fill in the gap between the count of distinct k-mers and the total genome length. We showed the effectiveness of the proposed method on a set of carefully designed simulation data corresponding to multiple situations of true metagenomic data. Results on real data indicate that the uncaptured genomic information can vary dramatically across metagenomic samples, with the potential to mislead downstream analyses. Conclusions We proposed the question of how long the total genome length of all different species in a microbial community is and introduced a method to answer it.</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="14602">
                <text>2019</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="14603">
                <text>metagenomics, Sequencing coverage, Distinct k-mers, genome length</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="14604">
                <text>DOI: 10.1186/s12864-019-5467-x</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="14605">
                <text>BMC Genomics</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="14606">
                <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="14607">
                <text>Genetics, Biotechnology</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="44">
            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="14608">
                <text>EN</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
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        <src>https://www.socictopen.socict.org/files/original/ebda622ec55435527a0c098ba31264c4.pdf</src>
        <authentication>a68b3d345143794489135e50d686f82e</authentication>
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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>
          <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>
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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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    <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="3100">
                <text>SARS-CoV 9b protein diffuses into nucleus, undergoes active Crm1 mediated nucleocytoplasmic export and triggers apoptosis when retained in the nucleus.</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="3101">
                <text>Kulbhushan Sharma, Sara Åkerström, Anuj Kumar Sharma, Vincent T. K. Chow, Shumein Teow, Bernard Abrenica, Stephanie A. Booth, Timothy F Booth, Ali Mirazimi, Sunil K. Lal</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="3102">
                <text>BACKGROUND: 9b is an accessory protein of the SARS-CoV. It is a small protein of 98 amino acids and its structure has been solved recently. 9b is known to localize in the extra-nuclear region and has been postulated to possess a nuclear export signal (NES), however the role of NES in 9b functioning is not well understood. PRINCIPAL FINDINGS/METHODOLOGY: In this report, we demonstrate that 9b in the absence of any nuclear localization signal (NLS) enters the nucleus by passive transport. Using various cell cycle inhibitors, we have shown that the nuclear entry of 9b is independent of the cell cycle. Further, we found that 9b interacts with the cellular protein Crm1 and gets exported out of the nucleus using an active NES. We have also revealed that this NES activity influences the half-life of 9b and affects host cell death. We found that an export signal deficient SARS-CoV 9b protein induces apoptosis in transiently transfected cells and showed elevated caspase-3 activity. CONCLUSION/SIGNIFICANCE: Here, we showed that nuclear shuttling of 9b and its interaction with Crm1 are essential for the proper degradation of 9b and blocking the nuclear export of this protein induces apoptosis. This phenomenon may be critical in providing a novel role to the 9b accessory protein of SARS-CoV.</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="3103">
                <text>2011</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="3104">
                <text>DOI: 10.1371/journal.pone.0019436</text>
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          </element>
          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="3105">
                <text>PLoS ONE</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="3106">
                <text>Public Library of Science (PLoS)</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="3107">
                <text>Science, Medicine</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="44">
            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="3108">
                <text>EN</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
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