Smartphones and health promotion
Mariani, Alessandro Wasum+1 more
openaire +5 more sources
Flexible Memory: Progress, Challenges, and Opportunities
Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan+5 more
wiley +1 more source
Problematic Smartphone Use Is Associated With Current and Previous Major Depressive Disorder. [PDF]
Seong SJ+9 more
europepmc +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
Joint developmental trajectories of depressive symptoms, perceived stress in adolescence and their relationship with smartphone addiction. [PDF]
Zhang C, Zhang Z, Lei H, Wang X, Wang Y.
europepmc +1 more source
Untethered Autonomous Holonomic Mobile Micromanipulator for Operations in Isolated Confined Spaces
Herein, a lightweight (515 g), compact (10 cm3), untethered holonomic mobile micromanipulator powered by piezoelectric actuators is presented. It autonomously manipulates mm to sub‐mm objects and droplets in narrow, hazardous spaces, achieving 0.18 ± 0.51 mm positioning accuracy and −0.4° ± 1.2° angular deviation.
Ryosuke Kinoshita+7 more
wiley +1 more source
"Just a second, mommy's here": the impact of mothers' smartphone use on children's affect regulation and the quality of mother-child interactions. [PDF]
Mikić A+3 more
europepmc +1 more source
ADVANCED PEDOMETER FOR SMARTPHONE-BASED ACTIVITY TRACKING
Michal Tomlein+5 more
openalex +1 more source
The model leverages patient time‐space information for pattern feature representations. Encoders extract first and second‐order features, aggregated with categorical embeddings and dense features. Task‐specific and shared experts use gated networks, with a dispatch layer routing information for diabetes risk evaluation and blood glucose prediction ...
Yingshuai Wang+8 more
wiley +1 more source
Restless minds, restless nights: A 2-wave preliminary study on the associations between sleep quality, negative metacognitions and Problematic Smartphone Use. [PDF]
Marino C+7 more
europepmc +1 more source