The emergence of simulators and their integration into teaching practice in the world of education have offered us technological opportunities to enhance and promote learning. Science students' abilities to observe, measure, predict, control variables, formulate hypotheses, and interpret data can all be activated by including simulations into the curriculum. The aim of this work is to study the effects of integrating an "evolution of electrical systems" simulator in improving students' motivation, participation and school results in learning and teaching electricity lessons in Moroccan secondary schools. Two study groups of 34 and 35 students were chosen to examine the research hypothesis. They both meet the standards for this research (same teacher, same school level, coming from the same socio-economic environment, and almost similar results in their school careers). Before beginning the process of incorporating simulation sequences in teaching, a diagnostic test was administered to both groups to assess the prerequisites for the RC and RL dipoles, and the results were evaluated. Then we designated one of the two groups as the test group, which received instruction using simulation sequences, and the other group as the control group, which received traditional teaching. Both groups took an Achievement test to evaluate the impact of this integration on the learning of physics. After examining the test data (Charts Comparison and Student's t-test), we came to the conclusion that the use of simulation sequences in the classroom produced significantly more positive and satisfactory results than the traditional approach (M = 12,09 for the test group and M = 9,69 for the control group). We saw during the sessions that the experimental class students were more motivated and engaged in their learning than the control group. We collected this data by closely observing behavioral shifts, participation rates, and student involvement in the design of the course. These new techniques contribute at improving the experimental part of electricity in secondary schools.
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http://dx.doi.org/10.1016/j.heliyon.2024.e34770 | DOI Listing |
Scand J Med Sci Sports
January 2025
Department of Surgical Sciences, Dentistry, Gynaecology and Paediatrics, University of Verona, Verona, Italy.
Previous studies in sports science suggested that regular exercise has a positive impact on human health. However, the effects of endurance sports and their underlying mechanisms are still not completely understood. One of the main debates regards the modulation of immune dynamics in high-intensity exercise.
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Division of Pediatric Cardiology, Department of Pediatric, Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia.
Congenital heart disease (CHD) represents nearly one-third of congenital birth defects annually, with ventricular septal defect (VSD) being the most common type. The aim of this study was to explore the role of specific GATA binding protein 6 gene () mutations as a potential etiological factor in the development of VSD through an in silico approach. Data were collected from the human gene databases: DisGeNET and GeneCards, with protein-protein interaction networks constructed via STRING and Cytoscape.
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Department of Emergency, the Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen, Guangdong, China.
Hepatocellular carcinoma (HCC) is a predominant cause of cancer-related mortality globally, noted for its propensity towards late-stage diagnosis and scarcity of effective treatment modalities. The process of metabolic reprogramming, with a specific emphasis on lipid metabolism, is instrumental in the progression of HCC. Nevertheless, the precise mechanisms through which lipid metabolism impacts HCC and its viability as a therapeutic target have yet to be fully elucidated.
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The Medical Image and Health Informatics Lab, the School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Despite vast data support in DNA methylation (DNAm) biomarker discovery to facilitate health-care research, this field faces huge resource barriers due to preliminary unreliable candidates and the consequent compensations using expensive experiments. The underlying challenges lie in the confounding factors, especially measurement noise and individual characteristics. To achieve reliable identification of a candidate pool for DNAm biomarker discovery, we propose a Causality-driven Deep Regularization framework to reinforce correlations that are suggestive of causality with disease.
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January 2025
School of Mathematical Sciences, Peking University, Beijing 100871, China; Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China; Center for Statistical Science, Peking University, Beijing 100871, China. Electronic address:
Single-cell assay of transposase-accessible chromatin sequencing (scATAC-seq) unbiasedly profiles genome-wide chromatin accessibility in single cells. In single-cell tumor studies, identification of normal cells or tumor clonal structures often relies on copy-number alterations (CNAs). However, CNA detection from scATAC-seq is difficult due to the high noise, sparsity, and confounding factors.
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