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| http://dx.doi.org/10.7812/TPP/07-145 | DOI Listing |
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Beuthin and Bruce's study 'MAiD as human connection: Stories and metaphors of physician providers existential lived experience' in this journal describes the affective experiences of Canadian Medical Assistance in Dying (MAiD) providers. A critical response to this work shows it is based on flawed premises and interpretations of its data, which centers on praising its participants in lethal injection for their very positive emotions. Their study also seems to unproblematically construct people dying by MAiD as "the other," a term that usually describes members of groups subject to individual and systemic oppression.
View Article and Find Full Text PDFAdvancing Innovation in Medical Presentations: A Guide for Medical Educators to Use Images Generated With Artificial Intelligence.
Cureus
December 2024
Department of Neurology, Gummersbach Teaching Hospital, University of Cologne, Gummersbach, DEU.
Multimedia learning theory suggests that the use of images in the classroom enhances both cognitive and constructive learning. Finding the appropriate images for medical presentations can be challenging due to copyright and privacy issues. Artificial intelligence (AI) image generation is a newly available technology that offers a great advantage to medical educators.
View Article and Find Full Text PDFExposing a Motherhood Penalty in Sport: A Feminist Narrative Inquiry of Media Stories of Canadian Athlete Mothers' Journeys to the 2020 Tokyo Games.
Commun Sport
February 2025
Gordon S. Lang School of Business and Economics, University of Guelph, Guelph, ON, Canada.
Coinciding with athlete mothers' stories gaining media visibility, sport media researchers are studying media discourses to learn more about socially constructed motherhood and sport. The present study extends media research on elite athlete mothers, by using feminist narrative inquiry to interrogate discrimination meanings in sport. North American sport media stories were collected on Canadian athletes' (i.
View Article and Find Full Text PDFNarratives of health-promoting experiences by older husbands and wives providing care to their home-dwelling spouses receiving home-care services in Norway.
BMC Health Serv Res
December 2024
Department of Nursing and Health Sciences, Faculty of Health and Social Sciences, University of South-Eastern Norway, 215 Raveien, Borre, Vestfold, 3184, Norway.
Background: In today's healthcare systems, older family caregivers who care for their spouses at home are indispensable providers of healthcare. However, many of these caregivers are at risk of becoming ill themselves. To prevent this and to guide the development of targeted healthcare services, home-care personnel need knowledge on how to promote the health of older family caregivers.
View Article and Find Full Text PDFDamage identification based on the inner product matrix and parallel convolution neural network for frame structure.
Sci Rep
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The Third Construction Co., Ltd of China Construction Third Engineering Bureau, Wuhan, 430073, China.
Structural health monitoring based on vibration signal analysis has been extensively employed for damage identification. Mainstream machine learning techniques, such as convolutional neural networks (CNN), often rely on single-domain inputs, which may provide limited information for accurate damage identification. To overcome this limitation, this study proposes a novel approach that combines an inner product matrix (IPM) with a parallel CNN (IPM-PCNN) to extract multidimensional features for detecting structural damage in a steel frame structure.
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