Background: Educational environments can have environmental conditions that are incompatible with the needs of students, compromising their well-being and affecting their performance.
Objective: To identify the environmental variables that influence the performance of university students and measure this influence through an experiment in indoor environments.
Methods: The study applied an experimental methodology for three consecutive days in seven educational environments located in different regions of Brazil, measuring the environ-mental conditions, the students' perception of the environment, and their cognitive performance. The impact of environmental variables and environmental perception on student performance was analyzed using Generalized Linear Models and a Structural Equation Model.
Results: Students who took the test at air temperatures between 22.4°C and 24.7°C had a 74.20% chance of performing better than those outside this range. Air temperatures between 26.2°C and 29°C were associated with an 86% chance of taking less time to complete the test. High illuminance levels increased the chance of taking longer to answer the test by 41.7%.
Conclusions: Three environmental variables (relative humidity, lighting and air temperature) and two perceptual dimensions (light and thermal perception) directly influence student performance.
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http://dx.doi.org/10.3233/WOR-220055 | DOI Listing |
PLoS One
December 2024
College of Nursing, Yonsei University, Seoul, Republic of Korea.
Background: Participants' satisfaction is an important factor in securing competitiveness in clinical trials. In many industries, such as healthcare, customer service quality has been analyzed to increase customer satisfaction. However, no study so far has attempted to measure participants' perceptions of service quality in the clinical trial area and identify its effect on participant satisfaction.
View Article and Find Full Text PDFBackground: Dyspnoea is one of the emergency department's (ED) most common and deadly chief complaints, but frequently misdiagnosed and mistreated. We aimed to design a diagnostic decision support which classifies dyspnoeic ED visits into acute heart failure (AHF), exacerbation of chronic obstructive pulmonary disease (eCOPD), pneumonia and "other diagnoses" by using deep learning and complete, unselected data from an entire regional health care system.
Methods: In this cross-sectional study, we included all dyspnoeic ED visits of patients ≥ 18 years of age at the two EDs in the region of Halland, Sweden, 07/01/2017-12/31/2019.
PLoS One
December 2024
Baruch Marine Field Laboratory, University of South Carolina, Georgetown, SC, United States of America.
Habitat partitioning can promote coexistence of closely related competitors. Two congeneric shrimps (brown shrimp, Penaeus aztecus, and white shrimp, Penaeus setiferus) which utilize estuaries in the southeastern U.S.
View Article and Find Full Text PDFInt Arch Occup Environ Health
December 2024
Social Science and Occupational Health Research Group, National Institute of Occupational Safety and Health, Nagao 6-21-1, Tama-Ku, Kawasaki, 214-8585, Japan.
Purpose: We estimated the static and dynamic effects of promotion to managerial positions on mental health and satisfaction using the recent estimation method; we addressed the gap in extant research by considering the heterogeneity in treatment timing to reconfirm evidence regarding the causal effects of promotion.
Methods: We used a modified estimation method of two-way fixed effects recommended by (Callaway and Sant'Anna, J Econom 225:200-230, 2021). To check for robustness, we compared the analyses using propensity sample matching, an alternative treatment timing heterogeneity-robust analysis, and a normal two-way fixed effects event study.
Metabolomics
December 2024
School of Biosciences and the Birmingham Institute of Forest Research, University of Birmingham, Birmingham, B15 2TT, UK.
Introduction: Tree bacterial diseases are a threat in forestry due to their increasing incidence and severity. Understanding tree defence mechanisms requires evaluating metabolic changes arising during infection. Metabolite extraction affects the chemical diversity of the samples and, therefore, the biological relevance of the data.
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