Zobrazení zdroje stránky Andreasenstephens1003

Accurately quantifying the social distancing (SD) practice of a population is essential for governments and health agencies to better plan and adapt restrictions during a pandemic crisis. In such a scenario, the reduction of social mobility also has a significant impact on electricity consumption, since people are encouraged to stay at home and many commercial and industrial activities are reduced or even halted. This paper proposes a methodology to qualify the SD of a medium-sized city, located in the northwest of the state of Rio Grande do Sul (RS), Brazil, using data of electricity consumption measured by the municipality's energy utility. The methodology consists of combining a data set, and an average consumption profile of Sundays is obtained using data from 4-months, it is then defined as a high SD profile due to the typical lower social activities on Sundays. An supervised and an unsupervised artificial neural network (ANN) are trained with this profile and used to analyze electricity consumption of this city during the COVID-19 pandemic. Low, moderate, and high SD ranges are also created, and the daily population behavior is evaluated by the ANNs. The results are strongly correlated and discussed with government restrictions imposed during the analyzed period and indicate that the ANNs can correctly classify the intensity of SD practiced by people. The unsupervised ANN is used more easily and in different scenarios, so it can be indicated for use by public administration for purposes of assess the effectiveness of SD policies based on the guidelines established during the COVID-19 pandemic.The emergence of ultra-thin, flexible, and bright OLED devices has ignited tremendous interest in their potential as a light source in pulse oximetry, a well-established method to monitor pulse rate and blood oxygen level.The COVID-19 outbreak is having an unprecedented effect on human society, but how is it affecting the mammals that people live with? Mammals that were part of tourism experiences are of concern, because they impact on people's health and livelihoods and, since many of them are now dependent on people, we urge consideration of the status of these mammals as a result of the pandemic.We provide a systematic review of the impacts the COVID-19 outbreak has had on mammals in tourism venues. We examine reports of diverse species in various settings responding to changes in their environments that are occurring because of the pandemic.We searched the scholarly literature, preprints, and online news sources using combinations of the search terms 'tourism', 'animals', 'wildlife', 'coronavirus', and 'COVID-19'. We searched Web of Science, SCOPUS, EBSCOHost, JSTOR, bioRxiv, OSFPREPRINTS, GDELT, Google News, and National Public Radio, and analysed a total of 39 news articles, one peer-reviewed article, and six preprints.In total, we identified 92 distinct animal reports representing 48 mammal species. We used an existing tourism classification schema to categorise each article based on the situation reported, with the new addition of one context. [https://www.selleckchem.com/products/jhu-083.html Selleckchem JHU-083] We classified 92 separate animal reports in 46 articles into four (of six possible) contexts mammals as attractions (n = 40 animal reports), mammals as commodities (n = 33), mammals as threats (n = 2), and unusual sightings of mammals (n = 17). Shortage of food, in danger of losing home, having an enriched/relaxed environment, spatial expansion, disease transmission, and poaching are the major impacts or events reported in these contexts.We suggest changes for each context with respect to how people interface with mammals, with the goal of improving the lives of mammals and the people dependent on them.The purpose of this paper is to investigate the mediating role of online learning motivation (OLM) in the COVID-19 pandemic situation in Bangladesh by observing and comparing direct lectures (DL), instructor-learner interaction (ILI), learner-learner interaction (LLI), and internet self-efficacy (ISE) as predictors of OLM and online learning satisfaction (OLS). Data were collected from 442 undergraduate and graduate students from more than 35 universities in Bangladesh. To test the hypotheses, the PLS-SEM approach was applied using SmartPLS 3.0. The study shows a significant mediating role of OLM between the independent variables and learning satisfaction. In addition, DL, ILI, and ISE are shown to be significant predictors of student satisfaction. The findings have a number of valuable implications for education policy makers, universities, instructors, and students. Moreover, the study suggests some new research perspectives to overcome the limitations of this research and to gain precise knowledge on students' learning motivation and satisfaction regarding other online classes for different categories of students (e.g., high school and college, professional, and PhD).The lockdown due to COVID-19 in Italy resulted in the sudden closure of schools, with a shift from traditional teaching to the online one. Through an online questionnaire, this survey explores teachers' experience of online teaching, the level of risk factors (e.g., stress) and protective factors (e.g., locus of control) and their impact on satisfaction levels during the social distancing. One hundred seven high school teachers from Lombardy, an Italian region very affected by the COVID-19 outbreak, participated. Results show that depression and stress are the main predictors of satisfaction levels for online teaching. In addition, coping, locus of control and self-efficacy emerge as important protective factors. Finally, although there is great satisfaction with the online teaching experience, critical elements emerged. This study is relevant because it describes the critical elements of the online teaching experience, and identifies some protective factors and the main risk factors in teachers operating in an area strongly marked by social restrictions imposed by the pandemic. High school teachers emerge as a sub-group of the general population with specific psychological reactions. Considering the results, it is possible to suggest providing high-quality educational support and crisis-psychological oriented services to teachers, and help to maintain the psychological well-being.