Results 81 to 90 of about 5,797 (260)
Student Satisfaction with The Use of Chat-GPT as A Learning Resource
This study investigates student satisfaction with the use of Chat-GPT as a learning resource in higher education. This study used a mixed methods approach, combining quantitative surveys and qualitative interviews to assess students' experiences and ...
Abdulnassir Yassin, Ashadi Bashir
doaj +1 more source
ABSTRACT Foot–ankle and walking exercises have been proposed as potential strategies for managing symptoms in people with diabetic peripheral neuropathy (DPN), yet evidence from primary care remains limited. This pilot study assessed the feasibility and acceptability of these interventions and explored preliminary outcome patterns in DPN, stress, and ...
Siti Fadlilah +7 more
wiley +1 more source
ABSTRACT This study empirically examines the structural determinants of energy independence (EIND) in Türkiye over the period 1990–2023, with a particular focus on Total Factor Productivity (TFP), Energy Efficiency R&D Effectiveness (EERDE), and Renewable Energy R&D Effectiveness (RENRDE). Grounded in Endogenous Growth Theory and the Porter Hypothesis,
Mustafa Naimoglu, Oktay Özkan
wiley +1 more source
InfectA-Chat, an Arabic Large Language Model for Infectious Diseases: Comparative Analysis
BackgroundInfectious diseases have consistently been a significant concern in public health, requiring proactive measures to safeguard societal well-being.
Yesim Selcuk, Eunhui Kim, Insung Ahn
doaj +1 more source
Integrating multimodal data and machine learning for entrepreneurship research
Abstract Research Summary Extant research in neuroscience suggests that human perception is multimodal in nature—we model the world integrating diverse data sources such as sound, images, taste, and smell. Working in a dynamic environment, entrepreneurs are expected to draw on multimodal inputs in their decision making.
Yash Raj Shrestha, Vivianna Fang He
wiley +1 more source
A Large Language Model‐Based Approach for Fault Detection and Its Application
This work proposes an interpretable fault detection framework utilizing pre‐trained large language models to overcome small sample sizes and label scarcity in industrial datasets. A stepwise tuple‐based validation mitigates hallucinations, ensuring reliable detection.
Yihua Ye, Yin Zhu, Liming Che, Hua Zhou
wiley +1 more source
CHAT GPT FOR NETWORK ANALYSIS CRIMINAL CO-OFFENDERS
In the complex structure of global society, crime remains a persistent problem. It significantly threatens community foundations and hinders social and economic progress.
Ольга КОВАЛЬЧУК
doaj +1 more source
Baselining Large Language Model Performance in Systems Engineering Using SysEngBench
ABSTRACT In the rapidly evolving field of artificial intelligence (AI), large language model s (LLMs) have demonstrated impressive capabilities in generating natural language. However, their proficiency in specialized domains, particularly in the field of systems engineering (SE), remains less explored and unquantified.
Ryan Bell +3 more
wiley +1 more source
Do Rez Dogs Dream of Chat GPT?
Mimi (she/her), a socially awkward Nehiyaw undergraduate student, has an active online life but struggles to connect with her peers in real life (irl), eventually training GenAI to mimic her unattainable crush.
Sarena Johnson, Amy Johnson
doaj +1 more source
ABSTRACT Environmental pollution resulting from the rapid increase in human population, urbanization, intensive use of chemicals in agriculture, and industrial development has reached a level that threatens natural life today. Trace elements are one of the most important factors causing significant levels of pollution in the environment and are added ...
Levent Bat +3 more
wiley +1 more source

