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Can a novel computer vision-based framework detect head-on-head impacts during a rugby league tackle?
Inj Prev
January 2025
Carnegie Applied Rugby Research (CARR) centre, Carnegie School of Sport, Leeds Beckett University, Leeds, UK.
Background: Head-on-head impacts are a risk factor for concussion, which is a concern for sports. Computer vision frameworks may provide an automated process to identify head-on-head impacts, although this has not been applied or evaluated in rugby.
Methods: This study developed and evaluated a novel computer vision framework to automatically classify head-on-head and non-head-on-head impacts.
Joint modeling of correlated binary outcomes using multivariate logistic regression: contraception and HIV knowledge in Sri Lanka.
J Appl Stat
June 2024
Department of Computing and Mathematics, Manchester Metropolitan University, Manchester, UK.
Reproductive health significantly contributes to the overall well-being and social welfare of women. Within the spectrum of modern and traditional contraceptive methods in use, condoms have been strongly advocated by numerous HIV programs as a primary means of preventing HIV infection in Sri Lanka. Given the intrinsic relationship between contraceptive utilization and HIV awareness, our study aims to concurrently analyze the patterns of contraceptive usage and HIV knowledge, while accounting for their potential correlation.
View Article and Find Full Text PDFSafety After Dark: A Privacy Compliant and Real-Time Edge Computing Intelligent Video Analytics for Safer Public Transportation.
Sensors (Basel)
December 2024
Australian Urban Research Infrastructure Network (AURIN), University of Melbourne, Melbourne, VIC 3052, Australia.
Public transportation systems play a vital role in modern cities, but they face growing security challenges, particularly related to incidents of violence. Detecting and responding to violence in real time is crucial for ensuring passenger safety and the smooth operation of these transport networks. To address this issue, we propose an advanced artificial intelligence (AI) solution for identifying unsafe behaviours in public transport.
View Article and Find Full Text PDFConcerns Over Vuse e-Cigarette Digital Marketing and Implications for Public Health Regulation: Content Analysis.
JMIR Form Res
December 2024
REACH Lab, Department of Pediatrics, Division of Adolescent Medicine, Stanford University, Palo Alto, CA, United States.
Background: Electronic cigarettes (e-cigarettes) are the most used form of tobacco products among adolescents and young adults, and Vuse is one of the most popular brands of e-cigarettes among US adolescents. In October 2021, Vuse Solo became the first e-cigarette brand to receive marketing granted orders (MGOs) from the US Food and Drug Administration (FDA), authorizing its marketing and their tobacco-flavored pods. Vuse Ciro and Vuse Vibe, and their tobacco-only ("original") e-liquids, were authorized for marketing in May 2022 and Vuse Alto tobacco-flavored devices were authorized in July 2024.
View Article and Find Full Text PDFN-Alkyl Chain Induced Molecular Aggregation in Mononuclear Gold(I)-N-Heterocyclic Carbene Complexes for Blue Light Emitting Applications.
Chem Asian J
January 2025
Organometallics and Materials Chemistry Lab, Department of Chemistry, Indian Institute of Technology Hyderabad, Kandi, Sangareddy, 502285, Telangana, India.
Article Synopsis
- The study focuses on blue-emitting gold(I)-NHC chloride complexes with varying alkyl chains, revealing their unique molecular interactions and solid-state characteristics.
- These complexes demonstrate strong thermal stability and significant blue photoluminescence, with the n-butyl complex (1) showing the highest quantum yield at 22.44%.
- Computational analyses help clarify the electronic structure and luminescence properties, highlighting the potential applications for these complexes in blue light-emitting devices like LEDs.
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