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                <text>Hospital care in Departments defined as COVID-free: A proposal for a safe hospitalization protecting healthcare professionals and patients not affected by COVID-19</text>
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                <text>Rosario Leonardi, Piera Bellinzoni, Luigi Broglia, Renzo Colombo, Davide De Marchi, Lorenzo Falcone, Guido Giusti, Vincenzo Grasso, Guglielmo Mantica, Giovanni Passaretti, Silvia Proietti, Antonio Russo, Giuseppe Saitta, Salvatore Smelzo, Nazareno Suardi, Franco Gaboardi</text>
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                <text>The COVID-19 pandemic influenced the normal course of clinical practice leading to significant delays in the delivery of healthcare services for patients non affected by COVID-19. In the near future, it will be crucial to identify facilities capable of providing health care in compliance with the safety of healthcare professionals, administrative staff and patients. All the staff involved in the project of a COVID-free hospital should be subjected to a diagnostic swab for COVID-19 before the beginning of healthcare activity and then periodically in order to avoid the risk of contamination of patients during the process of care. The modifications of various activities involved in the process of care are described: outpatient care, reception of inpatients, inpatient ward and operating room. For outpatient care, modality of appointment procedure, characteristics of waiting room and personal protective equipment (PPE) for healthcare professionals and administrative staff are presented. Reception of inpatients shall be conditional on a negative swab for COVID-19 obtained with a drive-in procedure. The management of the operating room represents the most crucial step of the patient's care process. The surgical team should be restricted and monitored with periodic swabs; surgical procedures should be performed by experienced surgeons according to standard procedures; surgical training experimental treatments and research protocols should be suspended. Adequate personal protective equipment and measures to reduce aerosolization in the operating room (closed circuits, continuous cycle insufflators, fume extraction) should be adopted. Prevention of possible transmission of the virus during procedures in open, laparoscopic and endoscopic surgery is to use a multi-tactic approach, which includes correct filtration and ventilation of the operating room, the use of appropriate PPE (FFP3 plus surgical mask and protective visor for all the staff working in the operating room) and smoke evacuation devices with a suction and filter system.     *for the UrOP Executive Committee  Giuseppe Ludovico, Angelo Cafarelli, Ottavio De Cobelli, Ferdinando De Marco, Giovanni Ferrari, Stefano Pecoraro, Angelo Porreca, Domenico Tuzzolo</text>
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                <text>Covid 19; Pandemy; Surgery; Endoscopy; Filtration</text>
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                <text>DOI: 10.4081/aiua.2020.2.67</text>
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                <text>Archivio Italiano di Urologia e Andrologia</text>
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                <text>Diseases of the genitourinary system. Urology</text>
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                <text>Damiano D’Ardes, Andrea Boccatonda, Ilaria Rossi, Maria  Teresa Guagnano, Francesca Santilli, Francesco Cipollone, Marco Bucci</text>
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                <text>The renin-angiotensin system (RAS) plays a main role in regulating blood pressure and electrolyte and liquid balance. Previous evidence suggests that RAS may represent an important target for the treatment of lung pathologies, especially for acute respiratory distress syndrome and chronic fibrotic disease. The scientific community has recently focused its attention on angiotensin-converting enzyme (ACE) inhibitors and angiotensin receptor 1 (AT1R) inhibitors and their possible benefit/harms for patients infected by Coronavirus disease (COVID-19) who experience pneumonia, but there are still some doubts about the effects of these drugs in this setting.</text>
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                <text>DOI: 10.3390/ijms21083003</text>
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                <text>International Journal of Molecular Sciences</text>
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                <text>Junling Gao, Pinpin Zheng, Yingnan Jia, Hao Chen, Yimeng Mao, Su-Hong Chen, Yi Wang, Hua Fu, Junming Dai</text>
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                <text>Huge citizens expose to social media during a novel coronavirus disease (COVID-19) outbroke in Wuhan, China. We assess the prevalence of mental health problems and examine their association with social media exposure. A cross-sectional study among Chinese citizens aged≥18 years old was conducted during Jan 31 to Feb 2, 2020. Online survey was used to do rapid assessment. Total of 4872 participants from 31 provinces and autonomous regions were involved in the current study. Besides demographics and social media exposure (SME), depression was assessed by The Chinese version of WHO-Five Well-Being Index (WHO-5) and anxiety was assessed by Chinese version of generalized anxiety disorder scale (GAD-7). multivariable logistic regressions were used to identify associations between social media exposure with mental health problems after controlling for covariates. The prevalence of depression, anxiety and combination of depression and anxiety (CDA) was 48.3% (95%CI: 46.9%-49.7%), 22.6% (95%CI: 21.4%-23.8%) and 19.4% (95%CI: 18.3%-20.6%) during COVID-19 outbroke in Wuhan, China. More than 80% (95%CI:80.9%-83.1%) of participants reported frequently exposed to social media. After controlling for covariates, frequently SME was positively associated with high odds of anxiety (OR = 1.72, 95%CI: 1.31-2.26) and CDA (OR = 1.91, 95%CI: 1.52-2.41) compared with less SME. Our findings show there are high prevalence of mental health problems, which positively associated with frequently SME during the COVID-19 outbreak. These findings implicated the government need pay more attention to mental health problems, especially depression and anxiety among general population and combating with infodemic" while combating during public health emergency."</text>
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                <text>DOI: 10.1371/journal.pone.0231924</text>
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                <text>PLoS ONE</text>
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              <name>Title</name>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Strategies and Solutions for Team Sports Athletes in Isolation due to COVID-19</text>
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                <text>Igor Jukic, Julio Calleja-González, Francesc Cos, Francesco Cuzzolin, Jesús Olmo, Nicolás Terrados, Nenad Njaradi, Roberto Sassi, Bernardo Requena, Luka Milanovic, Ivan Krakan, Kostas Chatzichristos, Pedro E. Alcaraz</text>
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                <text>In December of 2019, there was an outbreak of a severe acute respiratory syndrome caused by the Coronavirus 2 (SARS-CoV-2 or COVID-19) in China. The virus rapidly spread into the whole World causing an unprecedented pandemic and forcing governments to impose a global quarantine, entering an extreme unknown situation. The organizational consequences of quarantine/isolation are: absence of organized training and competition, lack of communication among athletes and coaches, inability to move freely, lack of adequate sunlight exposure, inappropriate training conditions. Based on the current scientific, we strongly recommend encouraging the athlete to reset their mindset to understand quarantine as an opportunity for development, organizing appropriate guidance, educating and encourage athletes to apply appropriate preventive behavior and hygiene measures to promote immunity and ensuring good living isolation conditions. The athlete’s living space should be equipped with cardio and resistance training equipment (portable bicycle or rowing ergometer). Some forms of body mass resistance circuit-based training could promote aerobic adaptation. Sports skills training should be organized based on the athlete’s needs. Personalized conditioning training should be carried out with emphasis on neuromuscular performance. Athletes should also be educated about nutrition (Vitamin D and proteins) and hydration. Strategies should be developed to control body composition. Mental fatigue should be anticipated and mental controlled. Adequate methods of recovery should be provided. Daily monitoring should be established. This is an ideal situation in which to rethink personal life, understanding the situation, that can be promoted in these difficult times that affect practically the whole world.</text>
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                <text>2020</text>
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                <text>strategies, team sports, athletes, Training, isolation, COVID-19</text>
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                <text>DOI: 10.3390/sports8040056</text>
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                <text>Sports</text>
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                <text>Modeling Impact of Word of Mouth and E-Government on Online Social Presence during COVID-19 Outbreak: A Multi-Mediation Approach</text>
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                <text>Ammar Yasir, Xiaojian Hu, Munir Ahmad, Abdul Rauf, Jingwen Shi, Saba Ali Nasir</text>
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                <text>Although social presence plays an essential role under general conditions, its role becomes significant for societal protection during the quarantine period in epidemic outbreak. In this study, we attempted to identify the role of E-government and COVID-19 word of mouth in terms of their direct impact on online social presence during the outbreak as well as their impacts mediated by epidemic protection and attitudes toward epidemic outbreaks. For this purpose, a unique multi-mediation model is proposed to provide a new direction for research in the field of epidemic outbreaks and their control. Through random sampling, an online survey was conducted and data from 683participants were analyzed. Partial least squares structural equation modeling was used to test the relationships between the variables of interest. The study results revealed that the roles of E-government and COVID-19 word of mouth are positively related to online social presence during the outbreak. Epidemic protection and attitude toward epidemic outbreak were found to positively moderate the impact of the role of E-government and COVID-19 word of mouth on online social presence during the outbreak. The key findings of this study have both practical and academic implications.</text>
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                <text>DOI: 10.3390/ijerph17082954</text>
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                <text>International Journal of Environmental Research and Public Health</text>
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                <text>MDPI AG</text>
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                <text>Medicine</text>
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                <text>EN</text>
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              <name>Title</name>
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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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        <name>Dublin Core</name>
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            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Novel Porcine Epidemic Diarrhea Virus Variant with Large Genomic Deletion, South Korea</text>
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            <name>Creator</name>
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              <elementText elementTextId="17095">
                <text>Seong Jun Park, Sanghyun Kim, Daesub Song, Bongkyun Park</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Since 1992, porcine epidemic diarrhea virus (PEDV) has been one of the most common porcine diarrhea–associated viruses in South Korea. We conducted a large-scale investigation of the incidence of PEDV in pigs with diarrhea in South Korea and consequently identified and characterized a novel PEDV variant with a large genomic deletion.</text>
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            <name>Date</name>
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                <text>2014</text>
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            <name>Subject</name>
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                <text>coronavirus, porcine epidemic diarrhea virus, porcine epidemic diarrhea virus variant, PEDV, large genomic deletion, South Korea</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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                <text>DOI: 10.3201/eid2012.131642</text>
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            <description>A related resource from which the described resource is derived</description>
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                <text>Emerging Infectious Diseases</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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                <text>Centers for Disease Control and Prevention</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>Infectious and parasitic diseases, Medicine</text>
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            <description>A language of the resource</description>
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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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            <description>A name given to the resource</description>
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                <text>Response to Emergence of Middle East Respiratory Syndrome Coronavirus, Abu Dhabi, United Arab Emirates, 2013–2014</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="17105">
                <text>Farida Ismail Al Hosani, Kimberly Pringle, Mariam Al Mulla, Lindsay Kim, Huong T. Pham, Negar N. Alami, Ahmed Khudhair, Aron J. Hall, Bashir Aden, Feda El Saleh, Wafa Al Dhaheri, Zyad Al Bandar, Sudhir Bunga, Kheir Abou Elkheir, Ying Tao, Jennifer C. Hunter, Duc T. Nguyen, Andrew Turner, Krishna Pradeep, Jurgen Sasse, Stefan Weber, Suxiang Tong, Brett L. Whitaker, Lia M Haynes, Aaron Curns, Susan I. Gerber</text>
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            <description>An account of the resource</description>
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                <text>In January 2013, several months after Middle East respiratory syndrome coronavirus (MERS-CoV) was first identified in Saudi Arabia, Abu Dhabi, United Arab Emirates, began surveillance for MERS-CoV. We analyzed medical chart and laboratory data collected by the Health Authority–Abu Dhabi during January 2013–May 2014. Using real-time reverse transcription PCR, we tested respiratory tract samples for MERS-CoV and identified 65 case-patients. Of these patients, 23 (35%) were asymptomatic at the time of testing, and 4 (6%) showed positive test results for &gt;3 weeks (1 had severe symptoms and 3 had mild symptoms). We also identified 6 clusters of MERS-CoV cases. This report highlights the potential for virus shedding by mildly ill and asymptomatic case-patients. These findings will be useful for MERS-CoV management and infection prevention strategies.</text>
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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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                <text>Middle East respiratory syndrome coronavirus, Asymptomatic infection, Risk factors, MERS-CoV, United Arab Emirates, Public Health Surveillance</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="17109">
                <text>DOI: 10.3201/eid2207.160040</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="17110">
                <text>Emerging Infectious Diseases</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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                <text>Centers for Disease Control and Prevention</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>Infectious and parasitic diseases, Medicine</text>
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            <name>Language</name>
            <description>A language of the resource</description>
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                <text>EN</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>SARS Antibody Test for Serosurveillance</text>
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                <text>Po-Ren Hsueh, Chuan-Liang Kao, Cun-Nan Lee, Li-Kuan Chen, Mei-Shian Ho, Charles Sia, Xin De Fang, Shugene Lynn, Tseng Yuan Chang, Shi Kau Liu, Alan M. Walfield, Changyi Wang</text>
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                <text>A peptide-based enzyme-linked immunosorbent assay (ELISA) can be used for retrospective serosurveillance of severe acute respiratory syndrome (SARS) by helping identify undetected chains of disease transmission. The assay was developed by epitope mapping, using synthetic peptides from the spike, membrane, and nucleocapsid protein sequences of SARS-associated coronavirus. The new peptide ELISA consistently detected seroconversion by week 2 of onset of fever, and seropositivity remained through day 100. Specificity was 100% on normal blood donor samples, on serum samples associated with infection by other pathogens, and on an interference panel. The peptide-based test has advantages of safety, standardization, and automation over previous immunoassays for SARS. The assay was used for a retrospective survey of healthy healthcare workers in Taiwan who treated SARS patients. Asymptomatic seroconversions were detected in two hospitals that had nosocomial disease.</text>
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                <text>2004</text>
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                <text>research, SARS-CoV, serologic test, Enzyme-Linked Immunosorbent Assay, synthetic peptide, S protein</text>
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                <text>DOI: 10.3201/eid1009.040101</text>
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                <text>Emerging Infectious Diseases</text>
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                <text>Centers for Disease Control and Prevention</text>
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                <text>Infectious and parasitic diseases, Medicine</text>
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            <description>A language of the resource</description>
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                <text>Umberto Ferraro Petrillo, Mara Sorella, Giuseppe Cattaneo, Raffaele Giancarlo, Simona E. Rombo</text>
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                <text>Abstract Background Distributed approaches based on the MapReduce programming paradigm have started to be proposed in the Bioinformatics domain, due to the large amount of data produced by the next-generation sequencing techniques. However, the use of MapReduce and related Big Data technologies and frameworks (e.g., Apache Hadoop and Spark) does not necessarily produce satisfactory results, in terms of both efficiency and effectiveness. We discuss how the development of distributed and Big Data management technologies has affected the analysis of large datasets of biological sequences. Moreover, we show how the choice of different parameter configurations and the careful engineering of the software with respect to the specific framework under consideration may be crucial in order to achieve good performance, especially on very large amounts of data. We choose k-mers counting as a case study for our analysis, and Spark as the framework to implement FastKmer, a novel approach for the extraction of k-mer statistics from large collection of biological sequences, with arbitrary values of k. Results One of the most relevant contributions of FastKmer is the introduction of a module for balancing the statistics aggregation workload over the nodes of a computing cluster, in order to overcome data skew while allowing for a full exploitation of the underlying distributed architecture. We also present the results of a comparative experimental analysis showing that our approach is currently the fastest among the ones based on Big Data technologies, while exhibiting a very good scalability. Conclusions We provide evidence that the usage of technologies such as Hadoop or Spark for the analysis of big datasets of biological sequences is productive only if the architectural details and the peculiar aspects of the considered framework are carefully taken into account for the algorithm design and implementation.</text>
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                <text>2019</text>
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          <element elementId="49">
            <name>Subject</name>
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              <elementText elementTextId="17128">
                <text>Distributed Computing, Apache Spark, k-mer counting, Performance evaluation</text>
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          <element elementId="43">
            <name>Identifier</name>
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              <elementText elementTextId="17129">
                <text>DOI: 10.1186/s12859-019-2694-8</text>
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          <element elementId="48">
            <name>Source</name>
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              <elementText elementTextId="17130">
                <text>BMC Bioinformatics</text>
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                <text>BMC</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), Computer applications to medicine. Medical informatics</text>
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                <text>EN</text>
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              <name>Title</name>
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                  <text>Coronavirus</text>
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              <name>Description</name>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Nonhuman primate models for SARS.</text>
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                <text>Bart L. Haagmans, Albert D.M.E. Osterhaus</text>
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                <text>2006</text>
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                <text>DOI: 10.1371/journal.pmed.0030194</text>
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                <text>PLoS Medicine</text>
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                <text>Public Library of Science (PLoS)</text>
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                <text>Medicine</text>
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