1036 10 20655 https://www.socictopen.socict.org/files/original/66404e6af3a38c77085b39b32b4699df.pdf 717511dbb807da86ee520072152dfbaa 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 Investment Opportunity in Online Survey Industry under COVID-19 Creator An entity primarily responsible for making the resource Cheng Yinuo Description An account of the resource The COVID-19 outbreak left the world an island shrouded in repression, causing great losses to the world economy and blowing numerous investors in the financial market. However, at the same time, emerging online industries also bring them new investment opportunities. This article would analyze the operation condition and forecast the growth potential of three enterprises, Zoom Video Inc., Shanghai Yaoji Technology Co., Ltd, and 51Talk, which specialize in Online Entertainment, Online Education, and Office Online. Through analyzing operating profit growth rate and net profit growth rate of Zoom Video Inc., classifying Shanghai Yaoji Technology Co., Ltd in terms of ROIC and increase rate of main business revenue, and predicting stock returns of 51 talk using Baidu Index, short-term and long-term investment strategies can be provided. With the above evidence, it is proposed that Shanghai Yaoji Technology Co., Ltd is worthy to invest in the short run, while Zoom Video Inc. and 51Talk have larger profitability in the long term. Besides, the future of those online industries is predicted. 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 10.1051/e3sconf/202021801023 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 Environmental sciences https://www.socictopen.socict.org/files/original/ba5bdae98b5803b83cdc7278f9951e0d.pdf dc3c7dfd63deed8a4712306bca9489d5 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 How COVID-19 impacts the U.S. economy and predictions about the future Creator An entity primarily responsible for making the resource Tian Fangze Description An account of the resource The spread of COVID-19 is one of the most impactful global events in recent years. It has destroyed the U.S. economy and financial market. In just several months, the stock market experienced major fluctuations, the entire economy has basically stopped, and the unemployment rate peaked. Its severity even penetrated people’s daily lives; many are not getting basic requirements needed for survival. As cases increase daily, more and more are concerned with how the future will look like and what this pandemic will do to the economy in the long run. Faced with many uncertainties in macroeconomic trends and the continuous spreading of the virus, I have compared this current crisis with the subprime mortgage crisis in 2008. With a goal to reasonably forecast future developments of the U.S. economy, from both micro and macro perspectives, financial market trends and government actions have been analyzed. Specifically, the two events’ causes, essences, policies’ effectiveness, and other factors have been evaluated and suggestions in adjusting government policies have also been made. Unlike the 2008 crisis, this crisis will require longer, more complex, and more flexible processes and regulations to recover, and citizens should be prepared for this slow recovery. But overall, a promising outlook for the U.S. economy still stands in the long-run. 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 10.1051/e3sconf/202021804007 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 Environmental sciences https://www.socictopen.socict.org/files/original/82cbbf90555452263b4f456985c9abaa.pdf 1c75086d0d5eb85bc27e240956897d1d 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 Group Testing-Based Robust Algorithm for Diagnosis of COVID-19 Creator An entity primarily responsible for making the resource Jin-Taek Seong Description An account of the resource At the time of writing, the COVID-19 infection is spreading rapidly. Currently, there is no vaccine or treatment, and researchers around the world are attempting to fight the infection. In this paper, we consider a diagnosis method for COVID-19, which is characterized by a very rapid rate of infection and is widespread. A possible method for avoiding severe infections is to stop the spread of the infection in advance by the prompt and accurate diagnosis of COVID-19. To this end, we exploit a group testing (GT) scheme, which is used to find a small set of confirmed cases out of a large population. For the accurate detection of false positives and negatives, we propose a robust algorithm (RA) based on the maximum a posteriori probability (MAP). The key idea of the proposed RA is to exploit iterative detection to propagate beliefs to neighbor nodes by exchanging marginal probabilities between input and output nodes. As a result, we show that our proposed RA provides the benefit of being robust against noise in the GT schemes. In addition, we demonstrate the performance of our proposal with a number of tests and successfully find a set of infected samples in both noiseless and noisy GT schemes with different COVID-19 incidence rates. 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, Diagnosis, group testing, Robust algorithm, posterior probability Identifier An unambiguous reference to the resource within a given context 10.3390/diagnostics10060396 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 (General) https://www.socictopen.socict.org/files/original/84ce66063fe41c89f3f9c7c960dec2a2.pdf 048566f9b30fb1866c276b54889365ab 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 Prediction of COVID-19 From Hemogram Results and Age Using Machine Learning Creator An entity primarily responsible for making the resource Elena Caires Silveira Description An account of the resource Introduction: The rapid global dissemination of COVID-19 culminated in the mobilization of great technological efforts aimed at its better understanding and control. In this context, Machine Learning gains notoriety, and its application has been widely documented for pathophysiological, diagnostic, therapeutic, prognostic and monitoring of COVID-19 purposes. The present study aimed to build a model for the prediction of the diagnosis of COVID-19 based on blood count results and age of patients and to identify the main characteristics taken into account by the algorithm for the predictive decision. Material and Methods: Anonymous data from 1157 patients made available by the COVID-19 Data Sharing / BR repository were used. The work took place in two distinct stages: description and analysis of the data; and construction of the predictive model. Results: With the exception of hemoglobin measurement, mean corpuscular volume, red cell distribution width, mean platelet volume and neutrophil-lymphocyte ratio, there was a statistically significant association of all other hematological parameters assessed with COVID-19. The predictive model developed from the XGBoost classifier reached an accuracy of 80.0% with a sensitivity of 75.6% and specificity of 82.0%. The variables that had the greatest influence on the predictive decision were basophil, eosinophil and leukocyte measurements. The present study confirms the potential of using blood count results, a widely available and accessible test, in the context of the diagnostic evaluation and pathophysiological investigation of COVID-19. Conclusion: This work highlights the relevance of the systematization and dissemination of data related to COVID-19 for use in new research. 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 10.30699/fhi.v9i1.234 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 Computer applications to medicine. Medical informatics, Bibliography. Library science. Information resources https://www.socictopen.socict.org/files/original/ee2c91b21aa262ccf387cbf86f1d448b.pdf 01d78c9605fe20dccfc9091a6d9dcbf7 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 Recommended operating room practice during the COVID‐19 pandemic: systematic review Creator An entity primarily responsible for making the resource Welsh Surgical Research Initiative (WSRI) Collaborative Description An account of the resource Background The COVID‐19 pandemic poses a critical global public health crisis. Operating room (OR) best practice in this crisis is poorly defined. This systematic review was performed to identify contemporary evidence relating to OR practice in the context of COVID‐19. Methods MEDLINE was searched systematically using PubMed (search date 19 March 2020) for relevant studies in accordance with PRISMA guidelines. Documented practices and guidance were assessed to determine Oxford Centre for Evidence‐Based Medicine (OCEBM) levels of evidence, and recommendations for practice within five domains were extracted: physical OR, personnel, patient, procedure, and other factors. Results Thirty‐five articles were identified, of which 11 met eligibility criteria. Nine articles constituted expert opinion and two were retrospective studies. All articles originated from the Far East (China, 9; Singapore, 2); eight of the articles concerned general surgery. Common themes were identified within each domain, but all recommendations were based on low levels of evidence (median OCEBM level 5 (range 4–5)). The highest number of overlapping recommendations related to physical OR (8 articles) and procedural factors (13). Although few recommendations related to personnel factors, consensus was high in this domain, with all studies mandating the use of personal protective equipment. Conclusion There was little evidence to inform this systematic review, but there was consensus regarding many aspects of OR practice. Within the context of a rapidly evolving pandemic, timely amalgamation of global practice and experiences is needed to inform best practice. 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 10.1002/bjs5.50304 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 Surgery https://www.socictopen.socict.org/files/original/77e1451f8277160276e4cc47d5d6eec6.pdf dd66db0ab030f4e577979cee14eab35d 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 DOES THE PRUNING ON THE REFERENCE INTEREST RATE BY BANK INDONESIA INFLUENCE INTEREST RATE SENSITIVITY TOWARDS BANKING NET INTEREST MARGIN DURING EARLY PERIOD IN FACING COVID-19 IN INDONESIA? Creator An entity primarily responsible for making the resource M Rizki Nurhuda, Muhammad Rozali, Latifa Rakhmatillah, Hendri Hermawan Adinugraha Description An account of the resource On March 2, 2020, Indonesian citizens tested positive for Coronavirus Disease (COVID-19) for the first time, making Indonesia the start of facing various problems in the health and economic sectors. All ministries or agencies are mitigating it using the extraordinary policy which adapts to the rapid growth in the number of positive patients for COVID-19 in Indonesia, including Bank Indonesia by gradually lowering the Reference Interest Rate, causing changes in the Interest Rates Sensitivity (Asset or Liability) Banking. It should be noted that interest income contributes greatly to the income of a bank. Based on this, this study aims to test whether the Bank Indonesia policy affects the Banking Net Interest Margin during the first four months since the detection of the first positive case of COVID-19 in Indonesia. By using Multiple Linear Regression Analysis, this paper concludes that changes in the reference interest rate made by Bank Indonesia in the face of the impact of the COVID-19 Pandemic strongly affects the Rate of Fixed / Sensitive Assets and Liabilities to the ratio of Net Interest Margin (NIM). Where the correlation is strong. This shows that changes in the Reference interest rate carried out by Bank Indonesia must be carried out gradually and carefully so as not to cause major changes to banking performance during the face of the COVID-19) Pandemic in Indonesia. 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, net interest margin, interest rate sensitivity, bank of indonesia 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 Journalism. The periodical press, etc. https://www.socictopen.socict.org/files/original/2f1304350ac6e4623e541fde8aaa1306.pdf 90440d0860f1010587591d005d6b8081 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 COVID-19 Deaths: Are We Sure It Is Pneumonia? Please, Autopsy, Autopsy, Autopsy! Creator An entity primarily responsible for making the resource Giovanni Li Volti, Cristoforo Pomara, Francesco Cappello Description An account of the resource The current outbreak of COVID-19 severe respiratory disease, which started in Wuhan, China, is an ongoing challenge, and a major threat to public health that requires surveillance, prompt diagnosis, and research efforts to understand this emergent pathogen and to develop an effective response. Due to the scientific community’s efforts, there is an increasing body of published studies describing the virus’ biology, its transmission and diagnosis, its clinical features, its radiological findings, and the development of candidate therapeutics and vaccines. Despite the decline in postmortem examination rate, autopsy remains the gold standard to determine why and how death happens. Defining the pathophysiology of death is not only limited to forensic considerations; it may also provide useful clinical and epidemiologic insights. Selective approaches to postmortem diagnosis, such as limited postmortem sampling over full autopsy, can also be useful in the control of disease outbreaks and provide valuable knowledge for managing appropriate control measures. In this scenario, we strongly recommend performing full autopsies on patients who died with suspected or confirmed COVID-19 infection, particularly in the presence of several comorbidities. Only by working with a complete set of histological samples obtained through autopsy can one ascertain the exact cause(s) of death, optimize clinical management, and assist clinicians in pointing out a timely and effective treatment to reduce mortality. Death can teach us not only about the disease, it might also help with its prevention and, above all, treatment. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource infectious diseases, covid-19, Diagnosis, autopsy Identifier An unambiguous reference to the resource within a given context 10.3390/jcm9051259 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/0c85fd9455ae9124b1b0286556b06b66.pdf 304911f860b445f56f5a489293ff641d 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 the COVID-19 pandemic on court proceedings in Lithuania Creator An entity primarily responsible for making the resource Vėbraitė Vigita Description An account of the resource The pandemic of coronavirus COVID-19 has impacted almost all areas of life throughout the word. Justice system in Lithuania was no exception. The effects of the pandemichave been felt till now (the article was finished at the end of August), even if the lockdownwas ended on the 16th of June and until now country remains under the conditions of anemergency situation. This article will describe the most important effects of the pandemicto the court proceedings in Lithuania and what lessons could be learned from this situation. 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, civil justice, court proceedings, ‘hybrid’ hearing, online justice Identifier An unambiguous reference to the resource within a given context 10.33327/AJEE-18-3.2-3-n000032 Source A related resource from which the described resource is derived Access to Justice in Eastern Europe Publisher An entity responsible for making the resource available VD Dakor Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Law of Europe https://www.socictopen.socict.org/files/original/e5a975d5d82c49089b7f1689a4ec0a57.pdf 519bcfa0d6101e66b77070aa218082e2 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 Medical and Paramedical Care of Patients With Cerebellar Ataxia During the COVID-19 Outbreak: Seven Practical Recommendations of the COVID 19 Cerebellum Task Force Creator An entity primarily responsible for making the resource Bing-Wen Soong, Bing-Wen Soong, Elan D. Louis, Mario Manto, Nicolas Dupre, Marios Hadjivassiliou, Hiroshi Mitoma, Marco Molinari, Aasef G. Shaikh, Bing-Wen Soong, Michael Strupp, Frank Van Overwalle, Jeremy D. Schmahmann Description An account of the resource The severe acute respiratory syndrome coronavirus 2 (SARS-CoV2), the cause of the current pandemic coronavirus disease 2019 (COVID-19), primarily targets the respiratory system. Some patients also experience neurological signs and symptoms ranging from anosmia, ageusia, headache, nausea, and vomiting to confusion, encephalitis, and stroke. Approximately 36% of those with severe COVID-19 experience neurological complications. The virus may enter the central nervous system through the olfactory nerve in the nasal cavity and damage neurons in the brainstem nuclei involved in the regulation of respiration. Patients with cerebellar ataxia (CA) are particularly vulnerable to severe outcome if they contract COVID-19 because of the complexity of their disease, the presence of comorbidities, and their use of immunosuppressive therapies. Most CA patients burdened by progressive neurologic deficits have substantially impaired mobility and other essential functions, for which they rely heavily on ambulatory services, including rehabilitation and psychosocial care. Cessation of these interventions because of isolation restrictions places the CA patient population at risk of further deterioration. This international panel of ataxia experts provides recommendations for neurologists caring for patients with CA, emphasizing a pro-active approach designed to maintain their autonomy and well-being: continue long-term medications, promote rehabilitation efforts, utilize the technology of virtual visits for regular contact with healthcare providers, and pay attention to emotional and psychosocial health. Neurologists should play an active role in decision-making in those CA cases requiring escalation to intensive care and resuscitation. Multi-disciplinary collaboration between care teams is always important, and never more so than in the context of the current 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, SARS-CoV-2, therapies, Ataxia, Cerebellum Identifier An unambiguous reference to the resource within a given context 10.3389/fneur.2020.00516 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 Neurology. Diseases of the nervous system https://www.socictopen.socict.org/files/original/5cffc6fabdd56035e4af987104f34978.pdf 9b3ec914add19c6920f463a520e48787 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 Biopolitics and legal issues of emergency situations in the context of coronavirus pandemic Creator An entity primarily responsible for making the resource Denisenko Vladislav, Trikoz Elena Description An account of the resource It is difficult to overestimate the importance of biopolitical issues at the present time. The modern social state and the developing biolaw regulate a lot of private and public legal relations, especially the sensitive sphere of somatic and reproductive human rights, and the biological status of citizens. The most important aspect of national legal regulation, such as the ratio of law and morality, international bio-standards, is being updated, and the status of bioethics and biolaw is being raised. The development of modern genetic engineering and biotechnologies raises the question of the legal boundaries of biopolitics. It has been found that national governments often expand biopolitical impact in situations of emergency and new biohazards, in particular, the COVID-19 pandemic. The paper is prepared using doctrinal-legal and comparative-synchronous analysis of legal measures applied by different countries in the field of biopolitics. The research is based on extensive scientific and regulatory material. As a result, it was concluded that at the current stage of countering the pandemic, many countries restrict the biological rights of citizens and activate genetic technologies. The Russian and foreign experience of biopolitics in the state of emergency wasstudied. 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 10.1051/e3sconf/202017514013 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 Environmental sciences