This dataset is an accumulation of data collected to test Rwandan physics students' conceptual understanding of light phenomena and to assess instructional tools for active learning of optics. We collected and analysed data from 251 grade 11 (senior 5) students using our Light Phenomena Conceptual Assessment (LPCA) tool and from 136 grade 10 (senior 4) students using Geometric Optics Conceptual Understanding Test (GOCUT) in 2019. Before collecting data, we designed and validated LPCA and GOCUT, and tested their reliability. Data were collected before and after students learnt about the unit of light. Both day and boarding schools in rural and urban areas were included in our sampling. Data collected were test scores from students after performing a 30-item LPCA test or 25-item GOCUT test in 40 minutes. The data may be reused to extend students' understanding of optics concepts through item analysis, analysis of school characteristics such as location and school type, or by analysing students' characteristics such as subject combinations.
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http://dx.doi.org/10.12688/f1000research.53135.2 | DOI Listing |
Materials (Basel)
January 2025
Faculty of Mechanical Engineering, University of West Bohemia, Univerzitni 2732/8, 301 00 Pilsen, Czech Republic.
This study explores the tensile performance of blind rivet joints in galvanized steel sheets, focusing on their behavior under shear and normal load conditions. Blind rivets are frequently used in structural applications due to their ease of installation and ability to be applied from one side, making them highly effective in industries like aerospace and automotive. Two types of DIN 7337-4.
View Article and Find Full Text PDFJ Neuroeng Rehabil
January 2025
Institute of Sport Science, TU Darmstadt, Darmstadt , Germany.
Lower limb exoskeletons serve multiple purposes, like supporting and augmenting movement. Biomechanical models are practical tools to understand human movement, and motor control. This paper provides an overview of these models and a comprehensive review of the current applications of them in assistive device development.
View Article and Find Full Text PDFNPJ Prim Care Respir Med
January 2025
Wolfson Palliative Care Research Centre, Hull York Medical School, University of Hull, Hull, UK.
Chronic breathlessness is a debilitating symptom with detrimental impact on individuals and carers. However, little is known about the experiences of community-dwelling, frail, older adults living with chronic breathlessness. To explore, (i) the psychological impact of living with chronic breathlessness, (older frail adult patients, carers) and (ii) how patients, carers, and clinicians experience identification and assessment of chronic breathlessness in the primary care setting.
View Article and Find Full Text PDFLancet Child Adolesc Health
January 2025
Oxford Internet Institute, University of Oxford, Oxford, UK. Electronic address:
In this Personal View, we critically evaluate the limitations and underlying challenges of existing research into the negative mental health consequences of internet-mediated technologies on young people. We argue that identifying and proactively addressing consistent shortcomings is the most effective method for building an accurate evidence base for the forthcoming influx of research on the effects of artificial intelligence (AI) on children and adolescents. Basic research, advice for caregivers, and evidence for policy makers should tackle the challenges that led to the misunderstanding of social media harms.
View Article and Find Full Text PDFBrain Lang
January 2025
Department of Veterans Affairs Rehabilitation Research and Development Brain Rehabilitation Research Center at the Malcom Randall VA Medical Center, Gainesville, FL 32608, USA; University of Florida Department of Neurology, Gainesville, FL 32610, USA; Neurology Service, North Florida/South GeorgiaUSA Veterans Health System and Department of Neurology, University of Florida, Gainesville, FL 32608, USA. Electronic address:
Introduction: Although many white matter tracts underlying language functions have been identified, even in aggregate they do not provide a sufficiently detailed and expansive picture to enable us to fully understand the computational processes that might underly language production and comprehension. We employed diffusion tensor tractography (DTT) with a tensor distribution model to more extensively explore the white matter tracts supporting core language functions. Our study was guided by hypotheses stemming largely from the aphasia literature.
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