157 10 20655 https://socictopen.socict.org/files/original/e6158b99e24eb357355409ec31b06ac1.pdf 5df8bcff72abb9d0b1faf72d8bec5f3a 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 Extended SEIR Model with Vaccination for Forecasting the COVID-19 Pandemic in Saudi Arabia Using an Ensemble Kalman Filter Creator An entity primarily responsible for making the resource Rabih Ghostine, Mohamad Gharamti, Sally Hassrouny, Ibrahim Hoteit Description An account of the resource In this paper, an extended SEIR model with a vaccination compartment is proposed to simulate the novel coronavirus disease (COVID-19) spread in Saudi Arabia. The model considers seven stages of infection: susceptible (S), exposed (E), infectious (I), quarantined (Q), recovered (R), deaths (D), and vaccinated (V). Initially, a mathematical analysis is carried out to illustrate the non-negativity, boundedness, epidemic equilibrium, existence, and uniqueness of the endemic equilibrium, and the basic reproduction number of the proposed model. Such numerical models can be, however, subject to various sources of uncertainties, due to an imperfect description of the biological processes governing the disease spread, which may strongly limit their forecasting skills. A data assimilation method, mainly, the ensemble Kalman filter (EnKF), is then used to constrain the model outputs and its parameters with available data. We conduct joint state-parameters estimation experiments assimilating daily data into the proposed model using the EnKF in order to enhance the model’s forecasting skills. Starting from the estimated set of model parameters, we then conduct short-term predictions in order to assess the predicability range of the model. We apply the proposed assimilation system on real data sets from Saudi Arabia. The numerical results demonstrate the capability of the proposed model in achieving accurate prediction of the epidemic development up to two-week time scales. Finally, we investigate the effect of vaccination on the spread of the pandemic. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource Mathematical modeling, covid-19 pandemic, SEIR model, ensemble Kalman filter, joint state-parameters estimation Identifier An unambiguous reference to the resource within a given context 10.3390/math9060636 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 Mathematics https://socictopen.socict.org/files/original/368d052ae52f87a6db0d1e7f93984507.pdf 38a435ce749c5cba631e1da91812f048 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 Extensive Search Trends-Based Analysis of Public Attention on Social Media in the Early Outbreak of COVID-19 in China Creator An entity primarily responsible for making the resource Xie T, Tan T, Li J Description An account of the resource Tiantian Xie,1 Tao Tan,2 Jun Li3,4 1Centre De Recherche Sur Les Liens Sociaux (CERLIS), Paris Descartes University, Paris, France; 2Institute of New Rural Development, South China Agricultural University, Guangzhou, People&rsquo;s Republic of China; 3School of International Relations, Sun Yat-Sen University, Guangzhou, People&rsquo;s Republic of China; 4School of Management, Curtin University, Perth, WA, AustraliaCorrespondence: Tiantian Xie Tel +33-651-837-168Email tiantian.xie@etu.parisdescartes.frBackground: A novel coronavirus (COVID-19) caused pneumonia broke out at the end of 2019 in Wuhan, China. Many cases were subsequently reported in other cities, which has aroused strong reverberations on the Internet and social media around the world.Objective: The aim of this study was to investigate the reaction of global Internet users to the outbreak of COVID-19 by evaluating the possibility of using Internet monitoring as an instrument in handling communicable diseases and responding to public health emergencies.Methods: The disease-related data were retrieved from China&rsquo;s National Health Commission (CNHC) and World Health Organization (WHO) from January 10 to February 29, 2020. Daily Google Trends (GT) and daily Baidu Attention Index (BAI) for the keyword &ldquo;Coronavirus&rdquo; were collected from their official websites. Rumors which occurred in the course of this outbreak were mined from Chinese National Platform to Refute Rumors (CNPRR) and Tencent Platform to Refute Rumors (TPRR). Kendall&rsquo;s Tau-B rank test was applied to check the bivariate correlation among the two indexes mentioned above, epidemic trends, and rumors.Results: After the outbreak of COVID-19, both daily BAI and daily GT increased rapidly and remained at a high level, this process lasted about 10 days. When major events occurred, daily BAI, daily GT, and the number of rumors simultaneously reached new peaks. Our study indicates that these indexes and rumors are statistically related to disease-related indicators. Information symmetry was also found to help significantly eliminate the false news and to prevent rumors from spreading across social media through the epidemic outbreak.Conclusion: Compared to traditional methods, Internet monitoring could be particularly efficient and economical in the prevention and control of epidemic and rumors by reflecting public attention and attitude, especially in the early period of an outbreak.Keywords: public attention, COVID-19, internet monitoring, search index 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, public attention, internet monitoring, search index 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 Public aspects of medicine https://socictopen.socict.org/files/original/b153f32bfc6ab6c589f6a6c27b19a3d7.pdf 4fc42763eef699f4289506eed928f49c 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 improved approach for reconstructing consensus repeats from short sequence reads Creator An entity primarily responsible for making the resource Chong Chu, Jingwen Pei, Yu-Feng Wu Description An account of the resource Abstract Background Repeat elements are important components of most eukaryotic genomes. Most existing tools for repeat analysis rely either on high quality reference genomes or existing repeat libraries. Thus, it is still challenging to do repeat analysis for species with highly repetitive or complex genomes which often do not have good reference genomes or annotated repeat libraries. Recently we developed a computational method called REPdenovo that constructs consensus repeat sequences directly from short sequence reads, which outperforms an existing tool called RepARK. One major issue with REPdenovo is that it doesn’t perform well for repeats with relatively high divergence rates or low copy numbers. In this paper, we present an improved approach for constructing consensus repeats directly from short reads. Comparing with the original REPdenovo, the improved approach uses more repeat-related k-mers and improves repeat assembly quality using a consensus-based k-mer processing method. Results We compare the performance of the new method with REPdenovo and RepARK on Human, Arabidopsis thaliana and Drosophila melanogaster short sequencing data. And the new method fully constructs more repeats in Repbase than the original REPdenovo and RepARK, especially for repeats of higher divergence rates and lower copy number. We also apply our new method on Hummingbird data which doesn’t have a known repeat library, and it constructs many repeat elements that can be validated using PacBio long reads. Conclusion We propose an improved method for reconstructing repeat elements directly from short sequence reads. The results show that our new method can assemble more complete repeats than REPdenovo (and also RepARK). Our new approach has been implemented as part of the REPdenovo software package, which is available for download at https://github.com/Reedwarbler/REPdenovo. Date A point or period of time associated with an event in the lifecycle of the resource 2018 Subject The topic of the resource repeat elements, De novo genome assembly, Sequence analysis Identifier An unambiguous reference to the resource within a given context DOI: 10.1186/s12864-018-4920-6 Source A related resource from which the described resource is derived BMC Genomics Publisher An entity responsible for making the resource available BMC Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Genetics, Biotechnology Language A language of the resource EN https://socictopen.socict.org/files/original/c4e9fe1127ba4c98417bd1581a744154.pdf 3092db7ef86abd955c8d0bd81f1bd43a 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 improved filtering algorithm for big read datasets and its application to single-cell assembly Creator An entity primarily responsible for making the resource Axel Wedemeyer, Lasse Kliemann, Anand Srivastav, Christian Schielke, Thorsten B. Reusch, Philip Rosenstiel Description An account of the resource Abstract Background For single-cell or metagenomic sequencing projects, it is necessary to sequence with a very high mean coverage in order to make sure that all parts of the sample DNA get covered by the reads produced. This leads to huge datasets with lots of redundant data. A filtering of this data prior to assembly is advisable. Brown et al. (2012) presented the algorithm Diginorm for this purpose, which filters reads based on the abundance of their k-mers. Methods We present Bignorm, a faster and quality-conscious read filtering algorithm. An important new algorithmic feature is the use of phred quality scores together with a detailed analysis of the k-mer counts to decide which reads to keep. Results We qualify and recommend parameters for our new read filtering algorithm. Guided by these parameters, we remove in terms of median 97.15% of the reads while keeping the mean phred score of the filtered dataset high. Using the SDAdes assembler, we produce assemblies of high quality from these filtered datasets in a fraction of the time needed for an assembly from the datasets filtered with Diginorm. Conclusions We conclude that read filtering is a practical and efficient method for reducing read data and for speeding up the assembly process. This applies not only for single cell assembly, as shown in this paper, but also to other projects with high mean coverage datasets like metagenomic sequencing projects. Our Bignorm algorithm allows assemblies of competitive quality in comparison to Diginorm, while being much faster. Bignorm is available for download at https://git.informatik.uni-kiel.de/axw/Bignorm . Date A point or period of time associated with an event in the lifecycle of the resource 2017 Subject The topic of the resource Read filtering, Read normalization, Bignorm, Diginorm, Singe cell sequencing, coverage Identifier An unambiguous reference to the resource within a given context DOI: 10.1186/s12859-017-1724-7 Source A related resource from which the described resource is derived BMC Bioinformatics Publisher An entity responsible for making the resource available BMC 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), Computer applications to medicine. Medical informatics Language A language of the resource EN https://socictopen.socict.org/files/original/d5f2cc836aaa55db3cfbc7e21636b817.pdf c471031c2f3aef6fce978d62453fdb82 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 Agricultura sostenible Description An account of the resource Dominio científico: Agricultura sostenible 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 Improved Robust Adaptive Controller for a Fed-Batch Bioreactor with Input Saturation and Unknown Varying Control Gain via Dead-Zone Quadratic Forms Creator An entity primarily responsible for making the resource Alejandro Rincón, Gloria María Restrepo, Óscar J. Sánchez Description An account of the resource In this work, a new adaptive controller is designed for substrate control of a fed-batch bioreactor in the presence of input saturation and unknown varying control gain with unknown upper and lower bounds. The output measurement noise and the unknown varying nature of reaction rate and biomass concentration and water volume are also handled. The design is based on dead zone quadratic forms. The designed controller ensures the convergence of the modified tracking error and the boundedness of the updated parameters. As the first distinctive feature, a new robust adaptive auxiliary system is proposed in order to tackle input saturation and control gain uncertainty. As the second distinctive feature, the modified tracking error converges to a compact region whose bound is user-defined, in contrast to related studies where the convergence region depends on upper bounds of either external disturbances, system states, model parameters or terms and model parameter values. Simulations confirm the properties of the closed loop behavior. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource Adaptive control, Input Saturation, Lyapunov-like function, augmented error signal, fed-batch bioreactor Identifier An unambiguous reference to the resource within a given context 10.3390/computation9090100 Source A related resource from which the described resource is derived Computation Publisher An entity responsible for making the resource available MDPI AG Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Electronic computers. Computer science Relation A related resource <a href="https://www.mdpi.com/2079-3197/9/9/100" target="_blank" rel="noreferrer noopener">https://www.mdpi.com/2079-3197/9/9/100</a> https://socictopen.socict.org/files/original/e9631b1cadea6b15b10ff53382c8284c.pdf 1770d3324252e6cf8c5a5de679d452a0 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 Incıdentally Detected Case of AIDS Admitted with the Clinical Presentation of COVID-19 During the Pandemic Creator An entity primarily responsible for making the resource Fethiye Akgül, Mustafa Kemal Çelen Description An account of the resource Pneumocystis pneumonia (PCP) is a serious opportunistic infection caused by the fungus Pneumocystis jirovecii.However, the detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in the patients, following therecognition of pneumonia cases of unknown etiology on December 31, 2019, in Wuhan, China revealed a new type ofcoronavirus. The disease caused by that virus has subsequently been named COVID-19 (Coronavirus disease 2019) bythe World Health Organization. In clinical practice, we encounter fever, shortness of breath, and radiological findingscompatible with pneumonic infiltration in the bilateral lung parenchyma in both infections (PCP and COVID-19). As ofMay 11, 2020, the COVID-19 outbreak affected 198 countries and about 4.239.167 people on five continents. The WorldHealth Organization declared it a pandemic on March 20, 2020. During the pandemic, COVID-19 should be consideredfirst in every patient presented with fever and respiratory distress, and further examinations should be carried out. A22-year-old male patient admitted with the complaints of fever and respiratory distress for two days during this period.On physical examination, his fever was 38,3°C with fine bilateral rales at lung auscultation. Results of the laboratorytesting were as follows: the blood glucose level 100 mg/dl, serum creatinine level 0,59 mg/dL, AST 46 U/L, ALT 17 U/L,LDH 1102 U/L, CRP 62 mg/l, D-dimer 954 mg/L, leucocytes 12.410 /mm3 (87,6% neutrophils; 6,8% lymphocytes),hemoglobin 11.9 g/dL and platelet count 258000 /mm3. Thorax computed tomography (CT) demonstrated patched areaswith frosted glass density in both lungs, more prominently on the left side, and in the lower lobes. The patient wasadmitted with a preliminary diagnosis of COVID-19, and then the Anti-HIV test was positive. Based on clinical, laboratory,and radiological examinations, we administered both COVID-19 and PCP treatments to our case. He was finallydischarged after recovery. During the pandemic, not only SARS-COV-2, but also other infectious agents that may causelung infections should not be ignored, and they all should be considered in the differential diagnosis. 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 - hiv/aids - pandemic - pneumocystis jirovecii Identifier An unambiguous reference to the resource within a given context 10.5798/dicletip.850549 Source A related resource from which the described resource is derived Dicle Medical Journal Publisher An entity responsible for making the resource available Dicle University Medical School 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, Medicine (General) https://socictopen.socict.org/files/original/4a2e2af985789f51a525988ee22c7b43.pdf 1ab4be75516de2236ef6deacd3460ad1 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 Influence of Group Purchasing Organizations on Financial Security of SMEs Operating in the Renewable Energy Sector—Case for Poland Creator An entity primarily responsible for making the resource Marek Sobolewski, Grzegorz Lew, Grzegorz Zimon Description An account of the resource European countries are increasingly using renewable energy. Poland is an outsider of such solutions. The Polish energy sector is primarily based on energy produced from coal. However, environmental changes and regulations of the European Union are forcing the increased use of energy from renewable sources. Renewable energy is an industry that is still developing in Poland. At the same time, Poland is a country where the political decisions of the government over the last few years have resulted in a significant limitation of the possibilities of renewable energy development. These actions have also resulted in lowering the profitability of the currently operating renewable energy enterprises, especially those from the sector of small and medium-sized enterprises. An opportunity for SMEs operating in the renewable energy sector is to merge into industry purchasing groups. The aim of the article—and at the same time the research question—is: Is it financially safer for renewable energy companies to operate within purchasing groups compared to companies operating independently in this industry? Traditional ways of purchasing can be transferred to integrated purchasing systems, which will be created by purchasing groups associating renewable energy companies. For this purpose, the financial effects of the implementation and functioning of the purchasing groups in the renewable energy sector in relation to entities operating independently were examined. In the research of renewable energy SMEs, a comparative analysis of key indicators determining the possibility of continuing the activity of these entities was made. The following indicators were examined: current financial liquidity ratio, return on sales, operating cycle, cash conversion cycle, share of receivables in current assets, share of inventory in current assets, turnover ratios, level of receivables, liabilities and profitability. The scientific literature is dominated by studies on purchasing groups in the pharmaceutical and construction industries. Thanks to the research conducted, it has been indicated that the renewable energy industry can also improve its profitability, and thus the possibility of safe continuation of operations by extending the business model to inter-entity cooperation within purchasing groups. Increasing the efficiency of individual entities of the renewable energy industry within purchasing groups becomes particularly important during the COVID-19 pandemic. Statistical analyses and their graphic presentation present the significant impact on the safety and profitability of renewable energy entities in the form of purchasing groups. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource renewable energy, bankruptcy, financial liquidity, group purchasing organizations, Polish energy Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/en13112926 Source A related resource from which the described resource is derived Energies Publisher An entity responsible for making the resource available MDPI AG 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 https://socictopen.socict.org/files/original/54bc0fb2ef77b0ad52d9b8761ce90af4.pdf 0b06dfd5950b74e0af25c63bba6d239a 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 Integrated Approach to Characterize Intestinal Metabolites of Four Phenylethanoid Glycosides and Intestinal Microbe-Mediated Antioxidant Activity Evaluation In Vitro Using UHPLC-Q-Exactive High-Resolution Mass Spectrometry and a 1,1-Diphenyl-2-picrylhydrazyl-Based Assay Creator An entity primarily responsible for making the resource Xiaoming Wang, Xiao-yan CHANG, Xiao-mei Luo, Mei-feng Su, Rong Xu, Jun Chen, Yi Ding, Yu eShi Description An account of the resource Intestinal bacteria have a significant role in metabolism and the pharmacologic actions of traditional Chinese medicine active ingredients. Phenylethanoid glycosides (PhGs), as typical phenolic natural products, possess wide bioactivities, but low oral bioavailability. The aim of this work was to elucidate the metabolic mechanism underlying PhGs in the intestinal tract and screen for more active metabolites. In this study, a rapid and reliable method using an effective post-acquisition approach based on advanced ultra-high-performance liquid chromatography (UHPLC) coupled with hybrid Quadrupole-Orbitrap high resolution mass spectrometry (Q-Exactive-HRMS) provided full MS and HCD MS2 data. Thermo Scientific™ Compound Discoverer™ software with a Fragment Ion Search (FISh) function in one single workflow was developed to investigate the intestinal microbial metabolism of four typical PhGs. Furthermore, antioxidant activity evaluation of PhGs and their related metabolites was simultaneously carried out in combination with a 1,1-diphenyl-2-picrylhydrazyl (DPPH) assay to understand how intestinal microbiota transformations modulate biological activity and explore structure–activity relationships (SARs). As a result, 26 metabolites of poliumoside, 42 metabolites of echinacoside, 42 metabolites of tubuloside, and 46 metabolites of 2′-acetylacteoside were identified. Degradation, reduction, hydroxylation, acetylation, hydration, methylation, and sulfate conjugation were the major metabolic pathways of PhGs. Furthermore, the degraded metabolites with better bioavailability had potent antioxidant activity that could be attributed to the phenolic hydroxyl groups. These findings may enhance our understanding of the metabolism, pharmacologic actions, and real active forms of PhGs. Date A point or period of time associated with an event in the lifecycle of the resource 2019 Subject The topic of the resource intestinal microbial metabolism, four phenylethanoid glycosides, UHPLC-Q-Exactive Orbitrap HRMS, antioxidant activities, structure–activity relationship Identifier An unambiguous reference to the resource within a given context DOI: 10.3389/fphar.2019.00826 Source A related resource from which the described resource is derived Frontiers in Pharmacology Publisher An entity responsible for making the resource available Frontiers Media S.A. Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Therapeutics. Pharmacology Language A language of the resource EN https://socictopen.socict.org/files/original/8944e4a59083b9aa94e6028ea8830457.pdf b95688781e3eac3952288e7cd6f62e09 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 Agricultura sostenible Description An account of the resource Dominio científico: Agricultura sostenible 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 integrated ecological model to understand violence against women Creator An entity primarily responsible for making the resource Carmen Vives-Cases Description An account of the resource Este artículo fomenta la adopción general de un marco integrado ecológico para la comprensión de los orígenes de la violencia de género. La aproximación ecológica al maltrato conceptualiza la violencia como un fenómeno polifacético basado en la interacción entre factores personales, situacionales y socioculturales. A pesar de tratar los avances conceptuales de teóricos anteriores, este artículo va más allá de su trabajo en tres aspectos relevantes. En primer lugar, este artículo utiliza el marco ecológico como una herramienta heurística para organizar la base de investigación existente como un todo inteligible. Mientras que otros teóricos presentan el marco como una manera de pensar sobre la violencia, unos pocos han intentado establecer qué factores surgen como predictores del maltrato en cada uno de los niveles de la ecología social. En segundo lugar, este artículo integra resultados de investigación internacionales y transculturales junto con descubrimientos de la ciencia social de Norteamérica. Y finalmente, el marco parte de descubrimientos relativos a todo tipo de maltrato físico y sexual hacia las mujeres para fomentar una aproximación más integrada a la construcción de teorías en cuanto al maltrato hacia las mujeres. Date A point or period of time associated with an event in the lifecycle of the resource 2011 Subject The topic of the resource Violencia de genero, maltrato, modelo ecológico integrado Identifier An unambiguous reference to the resource within a given context 10.14198/fem.2011.18.16 Source A related resource from which the described resource is derived Feminismo/s Publisher An entity responsible for making the resource available Universidad de Alicante Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Women. Feminism, The family. Marriage. Woman Relation A related resource <a href="https://feminismos.ua.es/article/view/2011-n18-un-modelo-ecologico-integrado-para-comprender-la-violencia-contra-las-mujeres" target="_blank" rel="noreferrer noopener">https://feminismos.ua.es/article/view/2011-n18-un-modelo-ecologico-integrado-para-comprender-la-violencia-contra-las-mujeres</a> https://socictopen.socict.org/files/original/81456e222bc86b96d9019ec1b9125289.pdf 5230110fd40e1a674990731f7e14d9f3 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 interim review of the epidemiological characteristics of 2019 novel coronavirus Creator An entity primarily responsible for making the resource Sukhyun Ryu, Byung Chul Chun, Korean Society of Epidemiology 2019-nCoV Task Force Team Description An account of the resource OBJECTIVES The 2019 novel coronavirus (2019-nCoV) from Wuhan, China is currently recognized as a public health emergency of global concern. METHODS We reviewed the currently available literature to provide up-to-date guidance on control measures to be implemented by public health authorities. RESULTS Some of the epidemiological characteristics of 2019-nCoV have been identified. However, there remain considerable uncertainties, which should be considered when providing guidance to public health authorities on control measures. CONCLUSIONS Additional studies incorporating more detailed information from confirmed cases would be valuable. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource coronavirus, Epidemiology, characteristics, Public Health Identifier An unambiguous reference to the resource within a given context DOI: 10.4178/epih.e2020006 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 Language A language of the resource EN