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Effects of Large Language Model-Based Offerings on the Well-Being of Students: Qualitative Study.
JMIR Form Res
December 2024
Imperial College Business School, Imperial College London, London, United Kingdom.
Background: In recent years, the adoption of large language model (LLM) applications, such as ChatGPT, has seen a significant surge, particularly among students. These artificial intelligence-driven tools offer unprecedented access to information and conversational assistance, which is reshaping the way students engage with academic content and manage the learning process. Despite the growing prevalence of LLMs and reliance on these technologies, there remains a notable gap in qualitative in-depth research examining the emotional and psychological effects of LLMs on users' mental well-being.
View Article and Find Full Text PDFRole of air sinuses in sound reception of the Yangtze finless porpoise: A numerical study.
J Acoust Soc Am
December 2024
Key Laboratory of Underwater Acoustic Communication and Marine Information Technology of the Ministry of Education, College of Ocean and Earth Sciences, Xiamen University, Xiamen 361005, China.
Although air sinuses are prevalent in odontocetes and are an integral component of their sound reception system, the acoustic function of these air-filled structures remains largely unknown. To address this, we developed a numerical model using computed tomography data from a Yangtze finless porpoise (Neophocaena asiaeorientalis asiaeorientalis) to investigate the role of the air sinuses in sound reception. By comparing sound reception characteristics between model cases with and without the air sinuses, we found that the air sinuses improved sound reception directivity.
View Article and Find Full Text PDFLarge Language Models in Worldwide Medical Exams: Platform Development and Comprehensive Analysis.
J Med Internet Res
December 2024
Joint Laboratory of Artificial Intelligence for Critical Care Medicine, Department of Critical Care Medicine and Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, China.
Background: Large language models (LLMs) are increasingly integrated into medical education, with transformative potential for learning and assessment. However, their performance across diverse medical exams globally has remained underexplored.
Objective: This study aims to introduce MedExamLLM, a comprehensive platform designed to systematically evaluate the performance of LLMs on medical exams worldwide.
Beyond Individual Responsibilisation: How Social Relations are Mobilised in Communication About a Dementia Self-Testing App.
Health Care Anal
December 2024
Department for Thematic Studies: Technology and Social Change, Linköping University, Hus T, Campus Valla, Linköping, 58183, Sweden.
Research on mobile health (mHealth) applications has investigated how such technologies contribute to a responsibilisation of users/patients. This literature largely focuses on the individual responsibilities constructed by the apps and the neoliberal environments that enable the positioning of the user as responsible. With this focus, this scholarship is less attentive to the role of social relations in responsibilisation.
View Article and Find Full Text PDFAssessing hydrogeochemical facies and Groundwater Quality Index in rapidly urbanizing coastal region: a GIS-based approach with machine learning for enhanced management.
Environ Sci Pollut Res Int
December 2024
Department of Earth Sciences, Indian Institute of Technology Roorkee, Roorkee-247667, Roorkee, Uttarakhand, India.
Groundwater is an essential freshwater source worldwide, but increasing pollution poses risks to its sustainability. This study applied a comprehensive approach to assess hydrogeochemical facies and groundwater quality in Odisha's large low-lying coastal regions. Analysis of 136 samples revealed that sodium (9.
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