ABSTRACT
This research on web 3.0 tools and autonomous work analyzes new and interactive possibilities for the generation of educational content in web environments. The research aims to determine the use of web 3.0 tools and the autonomous work of higher education students in times of pandemic. The research methodology was of an experimental type through a quantitative approach, with a documentary bibliographic modality for the understanding of the variables and field where direct contact was maintained with the study population. For the collection of information, the survey technique was used based on a questionnaire on a Likert scale. The study population was 68 students of the Tourism major, a population to which the experimentation was applied based on the ADDIE methodology for the development of digital tools and the application of the TAM model survey. The statistic used to test the hypothesis is Kolmogorov-Smirnov with a value less than 0.05. The results of this research were that the students favorably accepted the technology, that is, the web 3.0 tools in autonomous work since they contribute to generating self-learning skills, motivation, and commitment to the construction of knowledge in a playful way. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
ABSTRACT
Given a data-set of Ribonucleic acid (RNA) sequences we can infer the phylogenetics of the samples and tackle the information for scientific purposes. Based on current data and knowledge, the SARS-CoV-2 seemingly mutates much more slowly than the influenza virus that causes seasonal flu. However, very recent evolution poses some doubts about such conjecture and shadows the out-coming light of people vaccination. This paper adopts mathematical and computational tools for handling the challenge of analyzing the data-set of different clades of the severe acute respiratory syndrome virus-2 (SARS-CoV-2). On one hand, based on the mathematical paraphernalia of tools, the concept of distance associated with the Kolmogorov complexity and Shannon information theories, as well as with the Hamming scheme, are considered. On the other, advanced data processing computational techniques, such as, data compression, clustering and visualization, are borrowed for tackling the problem. The results of the synergistic approach reveal the complex time dynamics of the evolutionary process and may help to clarify future directions of the SARS-CoV-2 evolution.
ABSTRACT
The paper examines the implications of Co-vid-19 pandemic for the city of Belo Hori-zonte (BH), during the first 80 days of the disease. We use a descriptive-analytical approach to estimate the growth of Covid-19 cases over time, the excess of deaths, the virus’ rate of transmissibility, and the con-sequent burden on the municipal the health system, measured by the rate of occupancy of public hospital beds. Also, we identify the main containment policies adopted by local authorities, and the implications of reopening measures and the following reduction of social distancing. Our findings reveal that a well-managed Unified Health System (SUS) is paramount to effectively tackle the pandemic and its consequences for the popula-tion. The reopening process has imposed new challenges that will require close monitoring by the authorities and by the society. © 2020, Universidade Federal de Minas Gerais. All rights reserved.