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              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Society for Cardiovascular Magnetic Resonance (SCMR) guidance for re-activation of cardiovascular magnetic resonance practice after peak phase of the COVID-19 pandemic</text>
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                <text>Yuchi Han, Tiffany Chen, Chiara Bucciarelli-Ducci, Chris Lawton, Warren J. Manning, Andrew J. Powell, Bradley D. Allen, Timothy C. Wong, Jennifer Bryant, Erica Dall’Armellina, J. Paul Finn, Marianna Fontana, Marco Francone, Allison G. Hays, Ron Jacob, Karen Ordovas, Purvi Parwani, Sven Plein, Subha V. Raman, Michael Salerno, James C. Carr</text>
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            <description>An account of the resource</description>
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                <text>Abstract During the peak phase of the COVID-19 pandemic, alterations of standard operating procedures were necessary for health systems to protect patients and healthcare workers and ensure access to vital hospital resources. As the peak phase passes, re-activation plans are required to safely manage increasing clinical volumes. In the context of cardiovascular magnetic resonance (CMR), re-activation objectives include continued performance of urgent CMR studies and resumption of CMR in patients with semi-urgent and elective indications in an environment that is safe for both patients and health care workers.</text>
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                <text>2020</text>
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                <text>Safety, covid-19, workflow, Cardiovascular magnetic resonance </text>
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            <name>Identifier</name>
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                <text>10.1186/s12968-020-00654-8</text>
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                <text>Epidemiology and Health</text>
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            <name>Publisher</name>
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                <text>Korean Society of Epidemiology</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>Diseases of the circulatory (Cardiovascular) system</text>
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              <name>Title</name>
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                  <text>Coronavirus</text>
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              <name>Description</name>
              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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            <name>Title</name>
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                <text>Advance Care Planning: Promoting Effective and Aligned Communication in the Elderly (ACP-PEACE): the study protocol for a pragmatic stepped-wedge trial of older patients with cancer</text>
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                <text>Yuchiao Chang, Joshua R Lakin, James A Tulsky, Elise N Brannen, Michael K Paasche-Orlow, Charlotta Lindvall, Daniel A Gundersen, Areej El-Jawahri, Angelo Volandes, Julie Goldman, Brian Sipin, Michael J Barry, Kathryn I Pollak, Miji Sofela, Danielle Kennedy, S. Yousuf Zafar, Maria Torroella Carney, Diana Martins-Welch, Michael Qiu, Jody-Ann McLeggon, Craig E Devoe, Jon C. Tilburt, Charles L Loprinzi, Parvez A. Rahman, Jeremiah J. Stout, Aretha Delight Davis, Lisa M. Quintiliani</text>
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                <text>Introduction Advance care planning (ACP) is associated with improved health outcomes for patients with cancer, and its absence is associated with unfavourable outcomes for patients and their caregivers. However, older adults do not complete ACP at expected rates due to patient and clinician barriers. We present the original design, methods and rationale for a trial aimed at improving ACP for older patients with advanced cancer and the modified protocol in response to changes brought by the COVID-19 pandemic.Methods and analysis The Advance Care Planning: Promoting Effective and Aligned Communication in the Elderly study is a pragmatic, stepped-wedge cluster randomised trial examining a Comprehensive ACP Program. The programme combines two complementary evidence-based interventions: clinician communication skills training (VitalTalk) and patient video decision aids (ACP Decisions). We will implement the programme at 36 oncology clinics across three unique US health systems. Our primary outcome is the proportion of eligible patients with ACP documentation completed in the electronic health record. Our secondary outcomes include resuscitation preferences, palliative care consultations, death, hospice use and final cancer-directed therapy. From a subset of our patient population, we will collect surveys and video-based declarations of goals and preferences. We estimate 11 000 patients from the three sites will be enrolled in the study.Ethics and dissemination Regulatory and ethical aspects of this trial include Institutional Review Board (IRB) approval via single IRB of record mechanism at Dana-Farber Cancer Institute, Data Use Agreements among partners and a Data Safety and Monitoring Board. We plan to present findings at national meetings and publish the results.Trial registration number NCT03609177; Pre-results.</text>
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                <text>10.1136/bmjopen-2020-040999</text>
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                <text>Epidemiology and Health</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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                <text>Korean Society of Epidemiology</text>
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            <name>Coverage</name>
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                <text>Medicine</text>
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                  <text>Coronavirus</text>
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              <name>Description</name>
              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Tackling the COVID-19 Pandemic: Managing the Cause, Spread, and Impact</text>
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                <text>Yudan Whulanza, Nandy Putra, Muhammad Arif Budiyanto, Paramita Atmodiwirjo, Yandi Andri Yatmo, Eny Kusrini, Mohammed Ali Berawi, Eko Adhi Setiawan, Akhmad Herman  Yuwono, Nyoman Suwartha, Muhammad  Suryanegara, Ruki Harwahyu, Yuri T.  Zagloel</text>
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                <text>&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;The outbreak of SARS-CoV-2 or COVID-19 is attacking societies in all regions. The speedand scale of the outbreak have been acceleratingfatalities and causing social and economic disruption. We need coordinatedand comprehensive actions on the national and international level in creating a sharedresponsibility and&amp;nbsp;&amp;nbsp;human solidarityto suppress thespread of the virus, empower resilience in society, and address the virus’ socio-economicimpact. Increasing the healthcare capacity for testing andtracing, implementing quarantine and physical distancing measures, restrictingmovement, andprioritizingthe most vulnerable groups – the elderly and/or chronically sick patients – shouldbe treated as ways to minimize the spread and impact of the virus. Furthermore, the social andeconomic dimensions of this crisis must be managed to enhance the resilienceof societies and countries. &amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;There have been&amp;nbsp;catastrophiclosses due to this pandemic, leading to fatalities and bringing instability to many social andeconomic urbanareas. The approaches to tackling this virus must be well-established. Making society safe in thispandemic&amp;nbsp;is everybody’s business.Governments, the private sector, academics, and professionals, as well as everycitizen, need to be engaged and play their role in building a resilient societyin terms of health, economic, and social resilience. Citizen empowerment iscrucial in mitigating the impacts of the pandemic, including the ability toadapt to shock, panic, and stress and to quickly respond to an unstableenvironment.</text>
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                <text>2020</text>
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                <text>DOI: 10.14716/ijtech.v11i2.4035</text>
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                <text>International Journal of Technology</text>
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                <text>Universitas Indonesia</text>
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                <text>Technology, Technology (General)</text>
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                  <text>Coronavirus</text>
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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>Examining the Impact of COVID-19 Lockdown in Wuhan and Lombardy: A Psycholinguistic Analysis on Weibo and Twitter</text>
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                <text>Yue Su, Jia Xue, Xiaoqian Liu, Peijing Wu, Junxiang Chen, Chen Chen, Tianli Liu, Weigang Gong, Tingshao Zhu</text>
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                <text>Many countries are taking strict quarantine policies to prevent the rapid spread of COVID-19 (Corona Virus Disease 2019) around the world, such as city lockdown. Cities in China and Italy were locked down in the early stage of the pandemic. The present study aims to examine and compare the impact of COVID-19 lockdown on individuals’ psychological states in China and Italy. We achieved the aim by (1) sampling Weibo users (geo-location = Wuhan, China) and Twitter users (geo-location = Lombardy, Italy); (2) fetching all the users’ published posts two weeks before and after the lockdown in each region (e.g., the lockdown date of Wuhan was 23 January 2020); (3) extracting the psycholinguistic features of these posts using the Simplified Chinese and Italian version of Language Inquiry and Word Count (LIWC) dictionary; and (4) conducting Wilcoxon tests to examine the changes in the psycholinguistic characteristics of the posts before and after the lockdown in Wuhan and Lombardy, respectively. Results showed that individuals focused more on “home”, and expressed a higher level of cognitive process after a lockdown in both Wuhan and Lombardy. Meanwhile, the level of stress decreased, and the attention to leisure increased in Lombardy after the lockdown. The attention to group, religion, and emotions became more prevalent in Wuhan after the lockdown. Findings provide decision-makers timely evidence on public reactions and the impacts on psychological states in the COVID-19 context, and have implications for evidence-based mental health interventions in two countries.</text>
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                <text>2020</text>
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                <text>public health emergencies, psychological states, psycholinguistic analysis, impact of COVID-19 lockdown</text>
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                <text>10.3390/ijerph17124552</text>
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                <text>Epidemiology and Health</text>
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                <text>Korean Society of Epidemiology</text>
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                <text>Yue Wu, Yu Gu, Jianguo Guo, Qi Kong, Zhiguang Xiang, Fei Geng</text>
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                <text>Abstract Recent studies have reported that COVID-19 patients with lung cancer have a higher risk of severe events than patients without cancer. In this study, we investigated the gene expression of angiotensin I-converting enzyme 2 (ACE2) and transmembrane serine protease 2 (TMPRSS2) with prognosis in lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC). Lung cancer patients in each age stage, subtype, and pathological stage are susceptible to SARS-CoV-2 infection, except for the primitive subtype of LUSC. LUAD patients are more susceptible to SARS-CoV-2 infection than LUSC patients. The findings are unanimous on tissue expression in gene and protein levels.</text>
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                <text>DOI: 10.1186/s12943-020-01209-2</text>
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                <text>Neoplasms. Tumors. Oncology. Including cancer and carcinogens</text>
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                <text>Natural Polymorphisms Are Present in the Furin Cleavage Site of the SARS-CoV-2 Spike Glycoprotein</text>
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                <text>Yue Xing, Xiao Li, Xiang Gao, Qunfeng Dong, Qunfeng Dong</text>
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                <text>The furin cleavage site in the spike glycoprotein of the SARS-CoV-2 coronavirus is considered important for the virus to enter the host cells. By analyzing 45828 SARS-CoV-2 genome sequences, we identified 103 strains of SARS-CoV-2 with various DNA mutations including 18 unique non-synonymous point mutations, one deletion, and six gains of premature stop codon that may affect the furin cleavage site. Our results revealed that the furin cleavage site might not be required for SARS-CoV-2 to enter human cells in vivo. The identified mutants may represent a new subgroup of SARS-CoV-2 coronavirus with reduced tropism and transmissibility as potential live-attenuated vaccine candidates.</text>
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                <text>10.3389/fgene.2020.00783</text>
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                <text>Korean Society of Epidemiology</text>
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                <text>Genetics</text>
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                <text>MicroGMT: A Mutation Tracker for SARS-CoV-2 and Other Microbial Genome Sequences</text>
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                <text>Yue Xing, Xiao Li, Xiang Gao, Qunfeng Dong, Qunfeng Dong</text>
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                <text>With the continued spread of SARS-CoV-2 virus around the world, researchers often need to quickly identify novel mutations in newly sequenced SARS-CoV-2 genomes for studying the molecular evolution and epidemiology of the virus. We have developed a Python package, MicroGMT, which takes either raw sequence reads or assembled genome sequences as input and compares against database sequences to identify and characterize indels and point mutations. Although our default setting is optimized for SARS-CoV-2 virus, the package can be also applied to any other microbial genomes. The software is freely available at Github URL https://github.com/qunfengdong/MicroGMT.</text>
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                <text>2020</text>
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                <text>epidemiology, Bioinformatics, covid-19, SARS-CoV-2, molecular evolution, Mutation</text>
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                <text>10.3389/fmicb.2020.01502</text>
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                <text>Korean Society of Epidemiology</text>
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                <text>Microbiology</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>Quantitative lung lesion features and temporal changes on chest CT in patients with common and severe SARS-CoV-2 pneumonia.</text>
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            <elementTextContainer>
              <elementText elementTextId="60992">
                <text>Yue Zhang, Ying Liu, Honghan Gong, Lin Wu</text>
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                <text>The purpose of this study was to describe the temporal evolution of quantitative lung lesion features on chest computed tomography (CT) in patients with common and severe types of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pneumonia. Records of patients diagnosed with SARS-CoV-2 pneumonia were reviewed retrospectively from 24 January 2020 to 15 March 2020. Patients were classified into common and severe groups according to the diagnostic criteria of severe pneumonia. The quantitative CT features of lung lesions were automatically calculated using artificial intelligence algorithms, and the percentages of ground-glass opacity volume (PGV), consolidation volume (PCV) and total lesion volume (PTV) were determined in both lungs. PGV, PCV and PTV were analyzed based on the time from the onset of initial symptoms in the common and severe groups. In the common group, PTV increased slowly and peaked at approximately 12 days from the onset of the initial symptoms. In the severe group, PTV peaked at approximately 17 days. The severe pneumonia group exhibited increased PGV, PCV and PTV compared with the common group. These features started to appear in Stage 2 (4-7 days from onset of initial symptoms) and were observed in all subsequent stages (p</text>
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                <text>10.1371/journal.pone.0236858</text>
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                <text>Korean Society of Epidemiology</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Virology, Epidemiology, Pathogenesis, and Control of COVID-19</text>
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                <text>Yuefei Jin, Haiyan Yang, Wangquan Ji, Weidong Wu, Shuai-yin Chen, Wei-Guo Zhang, Guangcai Duan</text>
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                <text>The outbreak of emerging severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) disease (COVID-19) in China has been brought to global attention and declared a pandemic by the World Health Organization (WHO) on March 11, 2020. Scientific advancements since the pandemic of severe acute respiratory syndrome (SARS) in 2002~2003 and Middle East respiratory syndrome (MERS) in 2012 have accelerated our understanding of the epidemiology and pathogenesis of SARS-CoV-2 and the development of therapeutics to treat viral infection. As no specific therapeutics and vaccines are available for disease control, the epidemic of COVID-19 is posing a great threat for global public health. To provide a comprehensive summary to public health authorities and potential readers worldwide, we detail the present understanding of COVID-19 and introduce the current state of development of measures in this review.</text>
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                <text>DOI: 10.3390/v12040372</text>
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                <text>MDPI AG</text>
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                <text>Microbiology</text>
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                <text>EN</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Size-class effect contributes to tree species assembly through influencing dispersal in tropical forests.</text>
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                <text>Yuehua Hu, Roger  L. Kitching, Guoyu Lan, Jiao-Lin Zhang, Liqing Sha, Min Cao</text>
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                <text>We have investigated the processes of community assembly using size classes of trees. Specifically our work examined (1) whether point process models incorporating an effect of size-class produce more realistic summary outcomes than do models without this effect; (2) which of three selected models incorporating, respectively environmental effects, dispersal and the joint-effect of both of these, is most useful in explaining species-area relationships (SARs) and point dispersion patterns. For this evaluation we used tree species data from the 50-ha forest dynamics plot in Barro Colorado Island, Panama and the comparable 20 ha plot at Bubeng, Southwest China. Our results demonstrated that incorporating an size-class effect dramatically improved the SAR estimation at both the plots when the dispersal only model was used. The joint effect model produced similar improvement but only for the 50-ha plot in Panama. The point patterns results were not improved by incorporation of size-class effects using any of the three models. Our results indicate that dispersal is likely to be a key process determining both SARs and point patterns. The environment-only model and joint-effects model were effective at the species level and the community level, respectively. We conclude that it is critical to use multiple summary characteristics when modelling spatial patterns at the species and community levels if a comprehensive understanding of the ecological processes that shape species' distributions is sought; without this results may have inherent biases. By influencing dispersal, the effect of size-class contributes to species assembly and enhances our understanding of species coexistence.</text>
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                <text>DOI: 10.1371/journal.pone.0108450</text>
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                <text>PLoS ONE</text>
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                <text>Science, Medicine</text>
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                <text>EN</text>
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