976 10 20655 https://www.socictopen.socict.org/files/original/7b93aa10bf01e3b22f1d5e826140abdf.pdf 2e88767005bfbe148dab397f2bb79835 Dublin Core 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/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text 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. Dublin Core 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/. Title A name given to the resource An Epidemiological Study on the Prevalence of the Clinical Features of SARS-CoV-2 Infection in Romanian People Creator An entity primarily responsible for making the resource Constantin Ciucurel, Elena Ioana Iconaru Description An account of the resource The aim of this study was to investigate the prevalence of the clinical features of the SARS-CoV-2 infection in Romanian population through a novel online survey. The survey included categorical socio-demographic and health-related variables. A total of 1830 participants were selected for statistical data processing (a response rate of 90.9%). We determined reasonable reliability of the survey section for clinical features of SARS-CoV-2 infection (Cronbach’s Alpha 0.671). Two meaningful dimensions were identified through CATPCA (Categorical Principal Component Analysis) for the survey’s items. We separated two significant clusters of items, each measuring a distinct factor: the sociodemographic characteristics linked to social distancing and the relevant clinical features of SARS-CoV-2 infection. Next, a two-step cluster analysis helped to classify the sample group taking into consideration the similarity of subjects. The clustering revealed a three-cluster solution, with significant differences between clusters and allowed the cluster detection of a group of individuals, possibly more affected by the infection with the SARS-CoV-2 virus. Through binomial logistic regression analysis, we identified a statistically significant prediction model for the presumptive diagnostic of some relevant clinical features of SARS-CoV-2 infection. Our study validated a cost-effective model for rapid assessment of the health status of subjects, adapted to the context of SARS-CoV-2 pandemic. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource covid-19, online survey, prevalence study, Romanian population Identifier An unambiguous reference to the resource within a given context 10.3390/ijerph17145082 Source A related resource from which the described resource is derived Epidemiology and Health Publisher An entity responsible for making the resource available Korean Society of Epidemiology Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Medicine https://www.socictopen.socict.org/files/original/acc48fa91835de0196794d468648e509.pdf 7f2a8db56e9827cdff5116e1748fc969 Dublin Core 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/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text 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. Dublin Core 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/. Title A name given to the resource A new advanced in silico drug discovery method for novel coronavirus (SARS-CoV-2) with tensor decomposition-based unsupervised feature extraction Creator An entity primarily responsible for making the resource Y-h. Taguchi, Turki Turki, Qianjun Li Description An account of the resource Background: COVID-19 is a critical pandemic that has affected human communities worldwide, and there is an urgent need to develop effective drugs. Although there are a large number of candidate drug compounds that may be useful for treating COVID-19, the evaluation of these drugs is time-consuming and costly. Thus, screening to identify potentially effective drugs prior to experimental validation is necessary. Method: In this study, we applied the recently proposed method tensor decomposition (TD)-based unsupervised feature extraction (FE) to gene expression profiles of multiple lung cancer cell lines infected with severe acute respiratory syndrome coronavirus 2. We identified drug candidate compounds that significantly altered the expression of the 163 genes selected by TD-based unsupervised FE. Results: Numerous drugs were successfully screened, including many known antiviral drug compounds such as C646, chelerythrine chloride, canertinib, BX-795, sorafenib, sorafenib, QL-X-138, radicicol, A-443654, CGP-60474, alvocidib, mitoxantrone, QL-XII-47, geldanamycin, fluticasone, atorvastatin, quercetin, motexafin gadolinium, trovafloxacin, doxycycline, meloxicam, gentamicin, and dibromochloromethane. The screen also identified ivermectin, which was first identified as an anti-parasite drug and recently the drug was included in clinical trials for SARS-CoV-2. Conclusions: The drugs screened using our strategy may be effective candidates for treating patients with COVID-19. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Source A related resource from which the described resource is derived Epidemiology and Health Publisher An entity responsible for making the resource available Korean Society of Epidemiology Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Science, Medicine https://www.socictopen.socict.org/files/original/669bbebee178191553380ee671ff40f7.pdf 0a7be8e164405d11e23337f505c0d103 Dublin Core 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/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text 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. Dublin Core 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/. Title A name given to the resource Respondents’ Involvement in Tourist Activities at the Time of the COVID-19 Pandemic Creator An entity primarily responsible for making the resource Michał Roman, Arkadiusz Niedziółka, Andrzej Krasnodębski Description An account of the resource The article is aimed at presenting the survey respondents’ involvement in tourist activities, taking into account certain factors at the time of the COVID-19 pandemic. The main objective may be divided into three direct aims, each of which consists of the determination of the factors that can influence the choice of tourist journeys: (1) organizational factors, (2) social-economic ones, and (3) sustainable development. The authors’ own research findings are used to verify the objective. The research was conducted in April and May 2020 with the use of a diagnostic survey method and a questionnaire. Five-hundred sixty-four respondents from Poland (Podlaskie, Masovian, and Lesser Poland Voivodeships) and 133 respondents from the US (New York State, New Jersey, and Illinois) took part in the research. It was divided into organizational, social-economic, and sustainable development related factors. The research confirmed, inter alia, a great impact of the COVID-19 pandemic on the organization of tourist travels by the respondents in 2020. The issue presented in the article is a new one; it has not yet been a subject matter of research. That is the major reason the authors aimed to conduct it. What is a new methodological element in the article is the organization of some concepts concerning tourism and a presentation of the influence of COVID-19 on tourism. In the authors’ opinion, the issues presented are new and have a considerable impact on new trends in the development of tourism at the time of the COVID-19 pandemic. The issue discussed is very broad, and the article does not exhaust it. The research findings are compared to the research findings reported by other authors, and standard deviations are calculated. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource covid-19, Tourism, sustainable tourism, pandemic crisis, global change Identifier An unambiguous reference to the resource within a given context 10.3390/su12229610 Source A related resource from which the described resource is derived Biotemas Publisher An entity responsible for making the resource available Universidade Federal de Santa Catarina Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Environmental effects of industries and plants, Renewable energy sources, Environmental sciences https://www.socictopen.socict.org/files/original/676159a8242a7dcd6231c1bbb7d76c24.pdf 7c29f5c5a5257422809ad82aeed8507c Dublin Core 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/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text 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. Dublin Core 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/. Title A name given to the resource ASSESSMENT OF SENTINEL-5P PERFORMANCE FOR GROUND-LEVEL AIR QUALITY MONITORING: PREPARATORY EXPERIMENTS OVER THE COVID-19 LOCKDOWN PERIOD Creator An entity primarily responsible for making the resource M. A. Brovelli, D. Oxoli, J. R. Cedeno Jimenez Description An account of the resource Scientific evidence has demonstrated that deterioration of ambient air quality has increased the number of deaths worldwide by appointing air pollution among the most pressing sustainability concerns. In this context, the continuous monitoring of air quality and the modelling of complex air pollution patterns is critical to protect population and ecosystems health. Availability of air quality observations has terrifically improved in the last decades allowing – nowadays – for extensive spatial and temporal resolved analysis at both global and local scale. Satellite remote sensing is mostly accountable for this data availability and is promising to foster air quality monitoring in support of traditional ground sensors measurements. In view of the above, this study compares observations from the Sentinel-5P mission of the European Copernicus Programme (the most recent Earth Observation platform providing open measurements of atmospheric constituents) with traditional ground measurements to investigate their space and time correlations across the Lombardy region (Northern Italy). The correlation analysis focused on nitrogen dioxide. The use of data collected during the COVID-19 pandemic allowed for a parallel exploration of the lockdown effects on nitrogen dioxide emissions. Results show a marked decrease in nitrogen dioxide concentrations during the lockdown and an overall strong positive correlation between satellite and ground sensors observations. These experiments are preparatory for future activities that will focus on the development of satellite-based air quality local prediction models, aiming at improving the granularity of the ground-based information available for air quality monitoring and exposure modelling. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Identifier An unambiguous reference to the resource within a given context 10.5194/isprs-archives-XLIV-3-W1-2020-111-2020 Source A related resource from which the described resource is derived The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Publisher An entity responsible for making the resource available Copernicus Publications Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Engineering (General). Civil engineering (General), Technology, Applied optics. Photonics https://www.socictopen.socict.org/files/original/dac34f741859b7d02fa755dad0b21522.pdf 98c0ffb8164e0919f837c56f1de27181 Dublin Core 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/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text 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. Dublin Core 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/. Title A name given to the resource Cognitive Network Science Reconstructs How Experts, News Outlets and Social Media Perceived the COVID-19 Pandemic Creator An entity primarily responsible for making the resource Massimo Stella Description An account of the resource This work uses cognitive network science to reconstruct how experts, influential news outlets and social media perceived and reported the news “COVID-19 is a pandemic”. In an exploratory corpus of 1 public speech, 10 influential news media articles on the same news and 37,500 trending tweets, the same pandemic declaration elicited a wide spectrum of perceptions retrieved by automatic language processing. While the WHO adopted a narrative strategy of mitigating the pandemic by raising public concern, some news media promoted fear for economic repercussions, while others channelled trust in contagion containment through semantic associations with science. In Italy, the first country to adopt a nationwide lockdown, social discourse perceived the pandemic with anger and fear, emotions of grief elaboration, but also with trust, a useful mechanism for coping with threats. Whereas news mostly elicited individual emotions, social media promoted much richer perceptions, where negative and positive emotional states coexisted, and where trust mainly originated from politics-related jargon rather than from science. This indicates that social media linked the pandemics to institutions and their intervention policies. Since both trust and fear strongly influence people’s risk-averse behaviour and mental/physical wellbeing, identifying evidence for these emotions is key under a global health crisis. Cognitive network science opens the way to unveiling the emotional framings of massively read news in automatic ways, with relevance for better understanding how information was framed and perceived by large audiences. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource covid-19, emotions, text mining, Semantic networks, social media mining, computational cognitive science Identifier An unambiguous reference to the resource within a given context 10.3390/systems8040038 Source A related resource from which the described resource is derived Epidemiology and Health Publisher An entity responsible for making the resource available Korean Society of Epidemiology Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Technology (General), Systems engineering https://www.socictopen.socict.org/files/original/c6f71845cb4727c231fbd47a7702036f.pdf 0fdb4829ad7174192e63806a1b40f7db Dublin Core 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/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text 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. Dublin Core 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/. Title A name given to the resource Multi-System Inflammatory Syndrome in Children (MIS-C) Following SARS-CoV-2 Infection: Review of Clinical Presentation, Hypothetical Pathogenesis, and Proposed Management Creator An entity primarily responsible for making the resource Satyan Lakshminrusimha, Natasha A. Nakra, Dean A. Blumberg, Angel Herrera-Guerra Description An account of the resource Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection may result in the multisystem inflammatory syndrome in children (MIS-C). The clinical presentation of MIS-C includes fever, severe illness, and the involvement of two or more organ systems, in combination with laboratory evidence of inflammation and laboratory or epidemiologic evidence of SARS-CoV-2 infection. Some features of MIS-C resemble Kawasaki Disease, toxic shock syndrome, and secondary hemophagocytic lymphohistiocytosis/macrophage activation syndrome. The relationship of MIS-C to SARS-CoV-2 infection suggests that the pathogenesis involves post-infectious immune dysregulation. Patients with MIS-C should ideally be managed in a pediatric intensive care environment since rapid clinical deterioration may occur. Specific immunomodulatory therapy depends on the clinical presentation. The relationship between the immune response to SARS-CoV-2 vaccines in development and MIS-C requires further study. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource covid-19, SARS-CoV-2, kawasaki disease, hemophagocytic lymphohistiocytosis, Multisystem inflammatory syndrome in children (MIS-C), toxic shock syndrome Identifier An unambiguous reference to the resource within a given context 10.3390/children7070069 Source A related resource from which the described resource is derived Epidemiology and Health Publisher An entity responsible for making the resource available Korean Society of Epidemiology Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Pediatrics https://www.socictopen.socict.org/files/original/3b78d227d6695a83cc7e416e37069b44.pdf f3fb13d43e533712033ff69b8fdc1ea9 Dublin Core 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/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text 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. Dublin Core 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/. Title A name given to the resource Correlation analysis of coagulation dysfunction and liver damage in patients with novel coronavirus pneumonia: a single-center, retrospective, observational study Creator An entity primarily responsible for making the resource Sai Chen, Hanting Liu, Tie Li, Rong Huang, Rong Gui, Junhua Zhang Description An account of the resource Background The novel coronavirus disease 2019 (COVID-19) is currently breaking out worldwide. COVID-19 patients may have different degrees of coagulopathy, but the mechanism is not yet clear. We aimed to analyse the relationship between coagulation dysfunction and liver damage in patients with COVID-19. Methods A retrospective analysis of 74 patients with COVID-19 admitted to the First People’s Hospital of Yueyang from 1 January to 30 March 2020 was carried out. According to the coagulation function, 27 cases entered the coagulopathy group and 47 cases entered the control group. A case control study was conducted to analyse the correlation between the occurrence of coagulation dysfunction and liver damage in COVID-19 patients. Results Alanine aminotransferase (ALT) and aspartate aminotransferase (AST), markers of liver damage, were positively correlated with coagulopathy (p = 0.039, OR 2.960, 95% CI 1.055–8.304; and p = 0.028, OR 3.352, 95% CI 1.137–9.187). Alkaline phosphatase (ALP), γ-glutamyl transpeptidase (γ-GT), and total bilirubin (TBIL) were not statistically correlated with coagulopathy. According to the diagnosis and treatment plan, the included cases were classified into mild, moderate, severe, and critical. The results showed that the occurrence of coagulation dysfunction had no statistical correlation with the severity of COVID-19. Conclusion Coagulation dysfunction in patients with COVID-19 is closely related to liver damage. A longer course of the disease may cause a vicious circle of coagulopathy and liver damage. Clinicians need to closely monitor coagulation and liver function tests and to give prophylactic or supportive therapy when needed. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource covid-19, pneumonia, SARS-CoV-2, liver damage, blood coagulation dysfunction Identifier An unambiguous reference to the resource within a given context 10.1080/03009734.2020.1822960 Source A related resource from which the described resource is derived Upsala Journal of Medical Sciences Publisher An entity responsible for making the resource available Upsala Medical Society Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Medicine https://www.socictopen.socict.org/files/original/fa4e18cb0f4b060ed59d7509a40d39b3.pdf 808ae9521dca70dad658d2af698d1239 Dublin Core 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/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text 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. Dublin Core 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/. Title A name given to the resource IMPACT OF COVID-19 PANDEMIC ON TOURISM: RECOVERY PROPOSAL FOR FUTURE TOURISM Creator An entity primarily responsible for making the resource Santus Kumar DEB, Shohel Md. NAFI Description An account of the resource The aim of the study was to examine the consequence of the COVID-19 pandemic on tourism. Qualitative analysis was adopted, whereas data were collected from secondary sources like journals, newspapers, statistical data obtained from international tourism organizations, and websites on COVID-19 incidences in tourism. Due to the outbreak, it had a severe adverse impact on tourism and employment. Airlines have canceled flights, and hotels are almost vacant; thus, supporting tourism agencies face substantial economic losses and employment cuts. This study develops a framework with a recovery plan for future tourism across a slogan: putting people first and travel tomorrow. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource covid-19, Pandemic, Tourism, travel restriction, Future tourism Identifier An unambiguous reference to the resource within a given context 10.30892/gtg.334spl06-597 Source A related resource from which the described resource is derived Geo Journal of Tourism and Geosites Publisher An entity responsible for making the resource available Editura Universităţii din Oradea Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Geography. Anthropology. Recreation, Geography (General) https://www.socictopen.socict.org/files/original/823ce4a60b711fed83f60c5275e382e9.pdf a02d319c8e2f6100075e3b546b3aff71 Dublin Core 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/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text 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. Dublin Core 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/. Title A name given to the resource Clinical, laboratory and radiological characteristics and outcomes of novel coronavirus (SARS-CoV-2) infection in humans: A systematic review and series of meta-analyses Creator An entity primarily responsible for making the resource Israel Júnior Borges do Nascimento, Thilo Caspar von Groote, Dónal P. O’Mathúna, Hebatullah Mohamed Abdulazeem, Catherine Henderson, Umesh Jayarajah, Ishanka Weerasekara, Tina Poklepovic Pericic, Henning Edgar Gerald Klapproth, Livia Puljak, Nensi Cacic, Irena Zakarija-Grkovic, Silvana Mangeon Meirelles Guimarães, Alvaro Nagib Atallah, Nicola Luigi Bragazzi, Milena Soriano Marcolino, Ana Marusic, Ana Jeroncic, On behalf of the International Task Force Network of Coronavirus Disease 2019 (InterNetCOVID-19), Ehab Farag Description An account of the resource New evidence on the COVID-19 pandemic is being published daily. Ongoing high-quality assessment of this literature is therefore needed to enable clinical practice to be evidence-based. This review builds on a previous scoping review and aimed to identify associations between disease severity and various clinical, laboratory and radiological characteristics. We searched MEDLINE, CENTRAL, EMBASE, Scopus and LILACS for studies published between January 1, 2019 and March 22, 2020. Clinical studies including ≥10 patients with confirmed COVID-19 of any study design were eligible. Two investigators independently extracted data and assessed risk of bias. A quality effects model was used for the meta-analyses. Subgroup analysis and meta-regression identified sources of heterogeneity. For hospitalized patients, studies were ordered by overall disease severity of each population and this order was used as the modifier variable in meta-regression. Overall, 86 studies (n = 91,621) contributed data to the meta-analyses. Severe disease was strongly associated with fever, cough, dyspnea, pneumonia, any computed tomography findings, any ground glass opacity, lymphocytopenia, elevated C-reactive protein, elevated alanine aminotransferase, elevated aspartate aminotransferase, older age and male sex. These variables typically increased in prevalence by 30–73% from mild/early disease through to moderate/severe disease. Among hospitalized patients, 30–78% of heterogeneity was explained by severity of disease. Elevated white blood cell count was strongly associated with more severe disease among moderate/severe hospitalized patients. Elevated lymphocytes, low platelets, interleukin-6, erythrocyte sedimentation rate and D-dimers showed potential associations, while fatigue, gastrointestinal symptoms, consolidation and septal thickening showed non-linear association patterns. Headache and sore throat were associated with the presence of disease, but not with more severe disease. In COVID-19, more severe disease is strongly associated with several clinical, laboratory and radiological characteristics. Symptoms and other variables in early/mild disease appear non-specific and highly heterogeneous. Clinical Trial Registration: PROSPERO CRD42020170623. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Source A related resource from which the described resource is derived Epidemiology and Health Publisher An entity responsible for making the resource available Korean Society of Epidemiology Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Science, Medicine https://www.socictopen.socict.org/files/original/964312a5e82facff3350ecc231a39c7e.pdf d3b9c26f9cbcc0c48a5a619eb484a2be Dublin Core 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/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text 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. Dublin Core 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/. Title A name given to the resource SR/RS Motifs as Critical Determinants of Coronavirus Life Cycle Creator An entity primarily responsible for making the resource Eleni Nikolakaki, Thomas Giannakouros Description An account of the resource SR/RS domains are found in almost all eukaryotic genomes from C. elegans to human. These domains are thought to mediate interactions between proteins but also between proteins and RNA in complex networks associated with mRNA splicing, chromatin structure, transcription, cell cycle and cell structure. A precise and tight regulation of their function is achieved through phosphorylation of a number of serine residues within the SR/RS motifs by the Serine-Arginine protein kinases (SRPKs) that lead to delicate structural alterations. Given that coronavirus N proteins also contain SR/RS domains, we formulate the hypothesis that the viruses exploit the properties of these motifs to promote unpacking of viral RNA and virion assembly. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Coronaviruses, N protein, SR protein kinases, SR/RS motifs, capsid assembly/disassembly Identifier An unambiguous reference to the resource within a given context 10.3389/fmolb.2020.00219 Source A related resource from which the described resource is derived Epidemiology and Health Publisher An entity responsible for making the resource available Korean Society of Epidemiology Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Biology (General)