ABSTRACT
The objective of this work is to address the acquisition of digital skills by university students, which have been subjected to profound social changes in recent years, including the COVID-19 pandemic, making this process a necessity vital about your personal learning environment. For this, a bibliographic analysis of the different publications that occurred in the last year on Dialnet has been carried out, searching, through some reference words, to understand what the offer of digital tools is usually used by students and see how they affect the development and progress of your skills. In this sense, firstly, the context and conceptualization of digital competences in the university environment and, what are the possible digital learning scenarios for higher students are exposed. Finally, after finding 143 articles, a content review is prepared in which 42 are chosen, linked to our object of study. Thanks to this, four follow-up lines are established that answer the questions of this research. It is concluded that the most common digital tools used in their day-to-day by students are their main source in the acquisition of skills and these should be introduced in university teaching to express their didactic potential.
ABSTRACT
Time series classification and regression techniques help solve problems in many knowledge areas, including medicine, electronics, industry, and even music. When we apply them to real-life issues, a common obstacle is the lack of data in intervals within a time series. Usually, to solve it, the missing data is populated with information highly dependent on available datasets, which requires prior analysis. This paper addresses the problem in a novel way, automatically filling the missing data using a mixture of techniques and letting the prediction model decide which filling is better. We tested our approach for classification in industrial and medical datasets and for regression, we used a dataset containing COVID-19 information. Our results are very competitive, and our approach improves the state-of-the-art models. We obtain better performance in all the experiments for the selected quality measures. Most importantly, the improvement is more statistically significant when the amount of missing data is higher. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
ABSTRACT
Objective: To describe the most outstanding aspects in children and adolescents with acute symptomatic crisis or diagnosis of epilepsy in times of the COVID-19 pandemic. Methods: The information was collected in PubMed/Medline, Scielo and Clinical Key databases using the keywords included in the Descriptor of Health Sciences in English or Spanish language, with not time limit, and looking for all kind of publications. There were selected articles related to epilepsy, epileptic seizures and COVID-19. Results: In the consulted literature, it was justified the occurrence of epileptic seizures due to different causes in patients with COVID-19 and it is highlighted the therapeutic behaviour and the need of surveillance of the pharmacologic interactions among the drugs indicated for the prevention of epileptic seizures and the specific of this new disease. Based in these precepts, we present a final proposal for the behaviour to follow in each situation. Final considerations: It is proved the possibility of neurologic complications in patients with COVID-19 and specifically in the epileptic seizures and epilepsy. The use of interferon and lopinavir/ritonavir, in case of being indicated in the action protocols, and to keep the previous treatment with the drugs to prevent the recurrence of crisis in epileptic patients considering the possible interactions and the required surveillance in each case, seems to be the best option in most of the children and adolescents with COVID-19. © 2020, Editorial Ciencias Medicas. All rights reserved.