Introduction to the special issue on Data Science for COVID-19

An introduction to this Special Issue on Data Science for COVID-19 is included in this paper. It contains a general overview about methods and applications of nonparametric inference and other flexible data science methods for the COVID-19 pandemic. Specifically, some methods existing before the COVID-19 outbreak are surveyed, followed by an account of survival analysis methods for COVID-related times. Then, several nonparametric tools for the estimation of certain COVID rates are revised, along with the forecasting of most relevant series counts, and some other related problems. Within this setup, the papers published in this special issue are briefly commented in this introductory article. [ FROM AUTHOR] Copyright of Journal of Nonparametric Statistics is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

University students' learning strategies depending on knowledge fields in online education.

Within the framework of the European Space of Higher Education responding to educational needs is essential. To a great extent, the success of this response depends on the development of a competence model based on students' selflearning skills. Following the rise of online education caused by COVID-19, we aim to know and analyze a group of postgraduate university students' strategies in an online teaching and learning situation. More specifically, we explored differences stemming from their access degree. The participants were asked to respond to a standardized questionnaire about learning strategies. The answers of the questionnaire were reviewed using quantitative analyses. The results show differences between three groups, especially in their use of search strategies, selection and processing information. Arts and humanities students obtained better results than students who had completed degrees in the field of social science, law, engineering and architecture. Therefore, it is necessary to insist on the need to continue studying this complex area, not only from the perspective of students but also of teachers. (English) [ FROM AUTHOR] En el marco del Espacio Europeo de Educación Superior responder a las necesidades formativas es primordial, desde el desarrollo de un modelo competencial basado en las habilidades de autoaprendizaje del estudiantado. Constatado el auge de modalidades no presenciales y su crecimiento a causa del COVID-19, situamos nuestro problema de investigación en conocer y analizar las estrategias empleadas en un conjunto de estudiantes univer sitarios de postgrado en una situación de enseñanza y aprendizaje online, explorando las posibles diferencias que pudieran presentar en función de su titulación de acceso. A los participantes se les solicitó responder a un cuestionario ya estandarizado sobre estrategias de aprendizaje y las respuestas del cuestionario fueron examinadas mediante análisis cuantitativo. Los resultados ponen de manifiesto la diferencia entre tres grupos, especialmente en el uso de estrategias de búsqueda, selección y procesamiento de la información donde los estudiantes de la rama de artes y humanidades obtuvieron mejores resultados que los grupos de sociales y jurídicas, así como de los estudiantes de ingeniería y arquitectura. Se concluye insistiendo en la necesidad de seguir indagando este complejo ámbito, no únicamente desde la perspectiva del estudiantado sino también del profesorado. (Spanish) [ FROM AUTHOR] Dans le cadre de l'Espace européen de l'enseignement supérieur, il est essentiel de répondre aux besoins de formation, en s'appuyant sur le développement d'un modèle de compétences basé sur les capacités d'auto-apprentissage des étudiants. Compte tenu de l'essor de l'enseignement à distance et de sa croissance grâce à COVID-19, nous avons fixé notre problématique de recherche pour connaître et analyser les stratégies utilisées par un groupe d'étudiants universitaires de troisième cycle dans une situation d'enseignement et d'apprentissage en ligne, en explorant les éventuelles différences qu'elles pourraient présenter en fonction de leur degré d'accès. Les participants ont été invités à répondre à un questionnaire standardisé sur les stratégies d'apprentissage et les réponses au questionnaire ont été examinées par une analyse quantitative. Les résultats montrent la différence entre les trois groupes, notamment en ce qui concerne l'utilisation de stratégies de recherche, de sélection et de traitement de l'information, où les étudiants de la branche des arts et des lettres ont obtenu de meilleurs résultats que les groupes sociaux et juridiques, ainsi que les étudiants en ingénierie et en architecture. Nous concluons en insistant sur la nécessité de continuer à étudier ce domaine complexe, non seulement du point de vue des étudiants mais aussi de celui du personnel enseignant. (French) [ FROM AUTHOR] Copyright of Educatio Siglo XXI is the property of Servicio de Publicaciones de la Universidad de Murcia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Estrategias de aprendizaje según ramas de conocimiento en estudiantes universitarios en modalidad online 1

En el marco del Espacio Europeo de Educación Superior responder a las necesidades formativas es primordial, desde el desarrollo de un modelo competencial basado en las habilidades de autoaprendizaje del estudiantado. Constatado el auge de modalidades no presenciales y su crecimiento a causa del COVID-19, situamos nuestro problema de investigación en conocer y analizar las estrategias empleadas en un conjunto de estudiantes universitarios de postgrado en una situación de enseñanza y aprendizaje online, explorando las posibles diferencias que pudieran presentar en función de su titulación de acceso. A los participantes se les solicitó responder a un cuestionario ya estandarizado sobre estrategias de aprendizaje y las respuestas del cuestionario fueron examinadas mediante análisis cuantitativo. Los resultados ponen de manifiesto la diferencia entre tres grupos, especialmente en el uso de estrategias de búsqueda, selección y procesamiento de la información donde los estudiantes de la rama de artes y humanidades obtuvieron mejores resultados que los grupos de sociales y jurídicas, así como de los estudiantes de ingeniería y arquitectura. Se concluye insistiendo en la necesidad de seguir indagando este complejo ámbito, no únicamente desde la perspectiva del estudiantado sino también del profesorado.Alternate :Within the framework of the European Space of Higher Education responding to educational needs is essential. To a great extent, the success of this response depends on the development of a competence model based on students' selflearning skills. Following the rise of online education caused by COVID-19, we aim to know and analyze a group of postgraduate university students' strategies in an online teaching and learning situation. More specifically, we explored differences stemming from their access degree. The participants were asked to respond to a standardized questionnaire about learning strategies. The answers of the questionnaire were reviewed using quantitative analyses. The results show differences between three groups, especially in their use of search strategies, selection and processing information. Arts and humanities students obtained better results than students who had completed degrees in the field of social science, law, engineering and architecture. Therefore, it is necessary to insist on the need to continue studying this complex area, not only from the perspective of students but also of teachers.Alternate :Dans le cadre de l'Espace européen de l'enseignement supérieur, il est essentiel de répondre aux besoins de formation, en s'appuyant sur le développement d'un modele de compétences basé sur les capacités d'auto-apprentissage des étudiants. Compte tenu de l'essor de l'enseignement a distance et de sa croissance grâce a COVID-19, nous avons fixé notre problématique de recherche pour connaître et analyser les stratégies utilisées par un groupe d'étudiants universitaires de troisieme cycle dans une situation d'enseignement et d'apprentissage en ligne, en explorant les éventuelles différences qu'elles pourraient présenter en fonction de leur degré d'acces. Les participants ont été invités a répondre a un questionnaire standardisé sur les stratégies d'apprentissage et les réponses au questionnaire ont été examinées par une analyse quantitative. Les résultats montrent la différence entre les trois groupes, notamment en ce qui concerne l'utilisation de stratégies de recherche, de sélection et de traitement de l'information, ou les étudiants de la branche des arts et des lettres ont obtenu de meilleurs résultats que les groupes sociaux et juridiques, ainsi que les étudiants en ingénierie et en architecture. Nous concluons en insistant sur la nécessité de continuer a étudier ce domaine complexe, non seulement du point de vue des étudiants mais aussi de celui du personnel enseignant.

De novo 3D models of SARS-CoV-2 RNA elements from consensus experimental secondary structures.

The rapid spread of COVID-19 is motivating development of antivirals targeting conserved SARS-CoV-2 molecular machinery. The SARS-CoV-2 genome includes conserved RNA elements that offer potential small-molecule drug targets, but most of their 3D structures have not been experimentally characterized. Here, we provide a compilation of chemical mapping data from our and other labs, secondary structure models, and 3D model ensembles based on Rosetta's FARFAR2 algorithm for SARS-CoV-2 RNA regions including the individual stems SL1-8 in the extended 5' UTR; the reverse complement of the 5' UTR SL1-4; the frameshift stimulating element (FSE); and the extended pseudoknot, hypervariable region, and s2m of the 3' UTR. For eleven of these elements (the stems in SL1-8, reverse complement of SL1-4, FSE, s2m and 3' UTR pseudoknot), modeling convergence supports the accuracy of predicted low energy states; subsequent cryo-EM characterization of the FSE confirms modeling accuracy. To aid efforts to discover small molecule RNA binders guided by computational models, we provide a second set of similarly prepared models for RNA riboswitches that bind small molecules. Both datasets ('FARFAR2-SARS-CoV-2', https://github.com/DasLab/FARFAR2-SARS-CoV-2; and 'FARFAR2-Apo-Riboswitch', at https://github.com/DasLab/FARFAR2-Apo-Riboswitch') include up to 400 models for each RNA element, which may facilitate drug discovery approaches targeting dynamic ensembles of RNA molecules.

GEICAM Guidelines for the Management of Patients with Breast Cancer During the COVID-19 Pandemic in Spain.

Breast cancer (BC) is the most common cancer in women in Spain. During the COVID-19 pandemic caused by the SARS-CoV-2 virus, patients with BC still require timely treatment and follow-up; however, hospitals are overwhelmed with infected patients and, if exposed, patients with BC are at higher risk for infection and serious complications if infected. Thus, health care providers need to evaluate each BC treatment and in-hospital visit to minimize pandemic-associated risks while maintaining adequate treatment efficacy. Here we present a set of guidelines regarding available options for BC patient management and treatment by BC subtype in the context of the COVID-19 pandemic. Owing to the lack of evidence about COVID-19 infection, these recommendations are mainly based on expert opinion, medical organizations' and societies' recommendations, and some published evidence. We consider this a useful tool to facilitate medical decision making in this health crisis situation we are facing. IMPLICATIONS FOR PRACTICE: This work presents a set of guidelines regarding available options for breast cancer (BC) patient management and treatment by BC subtype in the context of the COVID-19 pandemic. Owing to the suddenness of this health crisis, specialists have to make decisions with little evidence at hand. Thus, these expert guidelines may be a useful tool to facilitate medical decision making in the context of a worldwide pandemic with no resources to spare.