Regular and problematic leisure-time Internet use in the community: results from a German population-based survey [PDF]
In our study, we attempted to identify systematically the use of Internet applications in the German population in order to derive risk factors for problematic use. In a representative survey of the German population, we queried 1,401 women and 1,111 men
Beutel, ME +5 more
core +1 more source
Deep Learning‐Assisted Design of Mechanical Metamaterials
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source
Gender swapping and socialising in cyberspace: an exploratory study [PDF]
Massively multiplayer online role-playing games (MMORPGs) are one of the most interesting innovations in the area of online computer gaming. Given the relative lack of research in the area, the main aims of the study were to examine (a) the impact of ...
Griffiths, MD, Hussain, Z
core +1 more source
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang +3 more
wiley +1 more source
HOURS OF GAMING OR NON-ACADEMIC COMPUTER USE, SUBSTANCE USE, MENTAL HEALTH STATUS AND SCHOOL PERFORMANCE AMONG TEXAS ADOLESCENCE: FINDINGS FROM THE 2017 YRBS IN TEXAS [PDF]
Online gaming activities among adolescents and adults has increased exponentially in the last decade, and mental health issues associated with excessive gaming have drawn attention from health care professionals worldwide (Griffith, 2016).
Gao, Shanxiazi
core +1 more source
Can disordered mobile phone use be considered a behavioral addiction? An update on current evidence and a comprehensive model for future research [PDF]
Despite the many positive outcomes, excessive mobile phone use is now often associated with potentially harmful and/or disturbing behaviors (e.g., symptoms of deregulated use, negative impact on various aspects of daily life such as relationship problems,
A Bianchi +55 more
core +1 more source
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
Crater Observing Bioinspired Rolling Articulator (COBRA)
Crater Observing Bio‐inspired Rolling Articulator (COBRA) is a modular, snake‐inspired robot that addresses the mobility challenges of extraterrestrial exploration sites such as Shackleton Crater. Incorporating snake‐like gaits and tumbling locomotion, COBRA navigates both uneven surfaces and steep crater walls.
Adarsh Salagame +4 more
wiley +1 more source
Collecting behavioural addiction treatment data using Freedom of Information requests [PDF]
There is now a growing movement that views a number of behaviours as potentially addictive including many that do not involve the ingestion of a drug (i.e., behavioural addictions such as gambling addiction and sex addiction).
Dhuffar, M, Griffiths, M
core +1 more source
IAR‐Net: Tabular Deep Learning Model for Interventionalist's Action Recognition
This study presents IAR‐Net, a deep‐learning framework for catheterization action recognition. To ensure optimality, this study quantifies interoperator similarities and differences using statistical tests, evaluates the distribution fidelity of synthetic data produced by six generative models, and benchmarks multiple deep‐learning models.
Toluwanimi Akinyemi +7 more
wiley +1 more source

