610 10 20655 https://www.socictopen.socict.org/files/original/5f0692101717fd4ac8df818d465addc0.pdf 0c9a5cb51f6350663d6a0b111e390517 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 Inferior Education or Killing Grandma: The Dilemma Facing the Public School Systems in the United States Creator An entity primarily responsible for making the resource Lawrence Bodin, Barry Frieman Description An account of the resource Due to COVID-19, school districts in the fall of 2020 had to decide whether to conduct all classes in person or offer some or all of these classes virtually. Many school districts would decide on a program and then change their decision based on the COVID-19 situation in their area. These changes caused education and personal issues for the students, teachers, parents, and others who worked in their school system. This paper explores how the Analytic Hierarchy Process (AHP), a well-regarded, multi-criteria decision analysis approach, can be used to analyze this situation by developing two prototype versions of the AHP and illustrating these versions of the AHP with a detailed example. The team approach for analyzing this issue is also described. Additionally, the current situation of this problem in the United States and elsewhere is discussed. Finally, Professor Bodin is making software that he has developed available (at no cost) for carrying out many of the computations for the AHP versions described in this paper. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource Analytic Hierarchy Process (AHP), pairwise comparisons, Ratings Model (RM), Direct Comparison Model (DCM), AHP team approach Identifier An unambiguous reference to the resource within a given context 10.3390/urbansci5010029 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 Geography. Anthropology. Recreation, Social Sciences https://www.socictopen.socict.org/files/original/6b853b6c7e6bba58bf6b73802f510a2d.pdf 4e38b873335fa99295858e6126704eaf 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 Detection Empowered with Machine Learning and Deep Learning Techniques: A Systematic Review Creator An entity primarily responsible for making the resource Huanlai Xing, Amir Rehman, Muhammad Azhar Iqbal, Irfan Ahmed Description An account of the resource COVID-19 has infected 223 countries and caused 2.8 million deaths worldwide (at the time of writing this article), and the death rate is increasing continuously. Early diagnosis of COVID patients is a critical challenge for medical practitioners, governments, organizations, and countries to overcome the rapid spread of the deadly virus in any geographical area. In this situation, the previous epidemic evidence on Machine Learning (ML) and Deep Learning (DL) techniques encouraged the researchers to play a significant role in detecting COVID-19. Similarly, the rising scope of ML/DL methodologies in the medical domain also advocates its significant role in COVID-19 detection. This systematic review presents ML and DL techniques practiced in this era to predict, diagnose, classify, and detect the coronavirus. In this study, the data was retrieved from three prevalent full-text archives, i.e., Science Direct, Web of Science, and PubMed, using the search code strategy on 16 March 2021. Using professional assessment, among 961 articles retrieved by an initial query, only 40 articles focusing on ML/DL-based COVID-19 detection schemes were selected. Findings have been presented as a country-wise distribution of publications, article frequency, various data collection, analyzed datasets, sample sizes, and applied ML/DL techniques. Precisely, this study reveals that ML/DL technique accuracy lay between 80% to 100% when detecting COVID-19. The RT-PCR-based model with Support Vector Machine (SVM) exhibited the lowest accuracy (80%), whereas the X-ray-based model achieved the highest accuracy (99.7%) using a deep convolutional neural network. However, current studies have shown that an anal swab test is super accurate to detect the virus. Moreover, this review addresses the limitations of COVID-19 detection along with the detailed discussion of the prevailing challenges and future research directions, which eventually highlight outstanding issues. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource covid-19, Diagnosis, machine learning, deep learning, detection, anal swab Identifier An unambiguous reference to the resource within a given context 10.3390/app11083414 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), Chemistry, Engineering (General). Civil engineering (General), Technology, Physics https://www.socictopen.socict.org/files/original/4187185313db9498a78f126b196571a1.pdf 02fc755f33b3aeab14138827bd2c5946 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 Macroeconomic Effects of Trade Tariffs: A Case Study of the U.S.-China Trade War Effects on the Economy of the United States Creator An entity primarily responsible for making the resource Sandra Žemaitytė, Laimutė Urbšienė Description An account of the resource This paper explores the macroeconomic effects of trade tariffs in the context of the recent trade conflict between the United States and China. The focus is laid on two trade war scenarios, and one of them takes into account the effects of the COVID-19 pandemic on the global trade flows. After deploying the partial equilibrium SMART model, the authors conclude that solely due to the trade war with China, in 2020, the US total trade balance will improve by 41,020 million USD (0.21% of real GDP), while 43,777 million USD (0.22% of real GDP) of the US imports will have to be sourced from other countries. The US trade intensity with China and welfare will decline. However, our study has found that the potential economic consequences of COVID-19 will reduce the relative effects of the trade war. The study has revealed that the United States economy will benefit from the trade war, which can be explained by a relatively weak China’s retaliatory response. Nevertheless, the US agriculture and automotive sectors will suffer most. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource welfare, trade balance, Trade tarrifs, US-China trade war Identifier An unambiguous reference to the resource within a given context 10.15388/10.15388/omee.2020.11.35 Source A related resource from which the described resource is derived Organizations and Markets in Emerging Economies Publisher An entity responsible for making the resource available Vilnius University Press Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Business, Economics as a science https://www.socictopen.socict.org/files/original/254219bbd481ec6d6d142f2d5a495b2a.pdf 3e5de9ebaff5aa1b519df94491bb5686 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 Reflexiones sobre el uso del smartphone en el aula de lenguas extranjeras Creator An entity primarily responsible for making the resource Derly Cervantes Cerra, María Pastran Chirinos, Dayson David Ahumada Ebratt, Numas Armando Gil Olivera Description An account of the resource El presente artículo de reflexión tuvo como objetivo describir el impacto que tiene el uso del Smartphone en la enseñanza de lenguas extranjeras. Para ello, se realizó una revisión documental del Smartphone como herramienta didáctica en el aula de lenguas extranjeras y sus distintos beneficios. Entre los resultados estuvo que el celular promueve no solo el desarrollo de competencias como la lectura, la escritura, la expresión oral y la comprensión auditiva, sino que además se considera una herramienta multimodal debido a sus múltiples funciones. Y que puede ser un gran aliado del docente y del estudiante en el proceso de enseñanza – aprendizaje de lenguas extranjeras especialmente en esta época en la que el Covid 19 ha propiciado la educación remota. En este sentido, el docente puede diseñar actividades en aplicaciones como WhatsApp, Facebook, Instagram, entre otros. Que, sin duda, fomentan la interacción y aprendizaje colaborativo entre estudiantes- estudiantes y entre profesor-estudiantes. Igualmente, se cree que este tipo de resultados ameritan un mayor estudio y acercamiento por parte de la academia. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource educación, aprendizaje, smartphone, lenguas extranjeras Identifier An unambiguous reference to the resource within a given context 10.36260/rbr.v9i12.1151 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 Education (General) https://www.socictopen.socict.org/files/original/bc0e348503e9967a88ebadc4a9e88388.pdf 99bbe97316f37793690378369b065db2 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 Is prostate infarction and acute urinary retention a possible complication of severe COVID-19 infection? Creator An entity primarily responsible for making the resource Sergio A C Duarte, Jessica G Pereira, Alexandre Iscaife, Katia R M Leite, Alberto A Antunes 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 10.1016/j.pathol.2020.09.001 Source A related resource from which the described resource is derived Pathology https://www.socictopen.socict.org/files/original/54a70e15ae2ba8c6f5bdba585211452f.pdf 0f3a8aad6db3319386e9c7786c50148b 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 Inspired a STEM-Based Virtual Learning Model for Middle Schools—A Case Study of Qatar Creator An entity primarily responsible for making the resource Jolly Bhadra, Noora Jabor Al-Thani, Azza Abouhashem, Rana Magdy Abdou, Nitha Siby, Zubair Ahmad Description An account of the resource An unprecedented turn in educational pedagogies due to the COVID-19 pandemic has significantly affected the students’ learning process worldwide. This article describes developing a STEM-based online course during the schools’ closure in the COVID-19 epidemic to combat the virtual science classroom’s limitations that could promise an active STEM learning environment. This learning model of the online STEM-based course successfully developed and exercised on 38 primary–preparatory students helped them to overcome the decline in their learning productivity. Various digital learning resources, including PowerPoint presentations, videos, online simulations, interactive quizzes, and innovative games, were implemented as instructional tools to achieve the respective content objectives. A feedback mechanism methodology was executed to improve online instructional delivery and project learners’ role in a student-centered approach, thereby aiding in the course content’s qualitative assessment. The students’ learning behavior provided concrete insights into the program’s positive outcomes, witnessing minimal student withdrawals and maximum completed assignments. Conclusions had been drawn from the course assessment (by incorporating both synchronous and asynchronous means), student feedback, and SWOT analysis to evaluate the course’s effectiveness. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource digital transformation, stem, digital learning resources, virtual science classroom Identifier An unambiguous reference to the resource within a given context 10.3390/su13052799 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/5a392aa5bc87bba2dfe7bd7f1e7a7669.pdf 0c3ed49d6b8eb71f2350b1cac7f41cef 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 Analysis of the Mathematical Communication Ability of Pre-Service Mathematics Teachers through Online Learning during the Covid-19 Pandemic Creator An entity primarily responsible for making the resource Sumargiyani Sumargiyani, Bidayatun Nafi'ah Description An account of the resource During the current Covid-19 pandemic, the learning system in all educational institution is shifted from face to face to online learning, including universities. This study aims to describe the results of the mathematical communication skills of class B students of Mathematics Education from Ahmad Dahlan University for the 2019/2020 academic year during online learning during the Covid-19 pandemic and to examine students' mistakes in solving differential calculus problems regarding the minimum, maximum material. This study employed descriptive qualitative research. The research instrument used is a test and interview guide. The data are collected using tests and interviews. The research subjects were selected by stratified random sampling technique so that 6 students are classified into high, medium and low categories. The questions are in the form of a description of one question with six questions. The results showed that students' mathematical communication skills on indicators (1) restating information was done appropriately, (2) writing down ideas or problem-solving steps clearly and precisely, some were not thorough, (3) presenting information using graphic images again. There are still things that they couldn't understand and (4) Writing down the answers according to what is known and are asked using mathematical formulas, some are still wrong because they are not accurate. 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 learning, mathematical analysis, Mathematical communication Identifier An unambiguous reference to the resource within a given context 10.18326/hipotenusa.v2i2.98-119 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 Education https://www.socictopen.socict.org/files/original/1e4e00c91e011a0d67b4034a5ea8f2a8.pdf a96ac2fc53eb468368caec20020b0d7a 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 Comunicación pública de la CyT, ¿en el fondo del ropero? Creator An entity primarily responsible for making the resource Sandra Murriello Description An account of the resource Parece indiscutible que la comunicación pública de la ciencia y la tecnología resultan centrales en medio de la pandemia de COVID-19 que nos atraviesa. Sin embargo, ha quedado en evidencia que el complejo de CyT no tiene capacidad de respuesta comunicacional acorde a las necesidades actuales. En este artículo se reflexiona sobre esta situación a la luz de las prácticas habituales de comunicación instaladas en la comunidad científica. Se resalta la necesidad de poner en valor esta actividad en pos de una producción científico tecnológica que responda a las demandas de la comunidad que la sostiene. 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, medios masivos, Comunicación pública de la ciencia, complejo de CyT Identifier An unambiguous reference to the resource within a given context 10.24215/26183188e046 Source A related resource from which the described resource is derived Ciencia, Tecnología y Política Publisher An entity responsible for making the resource available Universidad Nacional de La Plata 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), Political science (General) https://www.socictopen.socict.org/files/original/55c2e8179fe90c1254cd141b53054898.pdf ce714d2fe7a7896700af1d147b7bf7de 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 investigation of three mathematical models on the COVID-19 pandemic: the case of Turkey Creator An entity primarily responsible for making the resource Can Engin Description An account of the resource Mathematical modelling plays a major role in assessing, controlling, and forecasting potential outbreaks. This article consists of implementing mathematical forecasting models by Liang [14], Ma [16], and the curve fitting method with the least squares as a standard approach in regression analysis and compares those calculate results obtained from the Covid-19 outbreak data, which is announced by the Turkish Ministry of Health, between March 10, 2020, and May 15, 2020, in Turkey. For this purpose, we presented an overview of three mathematical models and finally, demonstrated their applications using the Ministry of Health of Turkey’s publicly reported data. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Identifier An unambiguous reference to the resource within a given context 10.1051/itmconf/20213601003 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 Information technology https://www.socictopen.socict.org/files/original/c3abc5aef00068c4984be1452cb5bae4.pdf ba8c7f8d7b9239923b9fc12845c41e87 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 Management of Diabetes Mellitus in the Era of COVID-19: Practical Issues, Peculiarities and Concerns Creator An entity primarily responsible for making the resource Chrysi Koliaki, Anastasios Tentolouris, Ioanna Eleftheriadou, Andreas Melidonis, George Dimitriadis, Nikolaos Tentolouris Description An account of the resource The management of patients with diabetes mellitus (DM) in the era of the COVID-19 pandemic can be challenging. Even if they are not infected, they are at risk of dysregulated glycemic control due to the restrictive measures which compromise and disrupt healthcare delivery. In the case of infection, people with DM have an increased risk of developing severe complications. The major principles of optimal care for mild outpatient cases include a patient-tailored therapeutic approach, regular glucose monitoring and adherence to medical recommendations regarding lifestyle measures and drug treatment. For critically ill hospitalized patients, tight monitoring of glucose, fluids, electrolytes, pH and blood ketones is of paramount importance to optimize outcomes. All patients with DM do not have an equally increased risk for severity and mortality due to COVID-19. Certain clinical and biological characteristics determine high-risk phenotypes within the DM population and such prognostic markers need to be characterized in future studies. Further research is needed to examine which subgroups of DM patients are expected to benefit the most from specific antiviral, immunomodulatory and other treatment strategies in the context of patient-tailored precision medicine, which emerges as an urgent priority in the era of COVID-19. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Diabetes mellitus, severity, coronavirus disease 2019 (covid-19), glycemic control, anti-diabetic drugs, severe acute respiratory distress syndrome coronavirus 2 (SARS-CoV2) Identifier An unambiguous reference to the resource within a given context 10.3390/jcm9072288 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