Results 301 to 310 of about 828,009 (393)

Smartphones and health promotion

open access: yesSao Paulo Medical Journal, 2014
Mariani, Alessandro Wasum   +1 more
openaire   +5 more sources

Flexible Memory: Progress, Challenges, and Opportunities

open access: yesAdvanced Intelligent Discovery, EarlyView.
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]

open access: yesPsychiatry Investig
Seong SJ   +9 more
europepmc   +1 more source

Large Language Model‐Based Chatbots in Higher Education

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
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

Untethered Autonomous Holonomic Mobile Micromanipulator for Operations in Isolated Confined Spaces

open access: yesAdvanced Intelligent Systems, EarlyView.
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

ADVANCED PEDOMETER FOR SMARTPHONE-BASED ACTIVITY TRACKING

open access: hybrid, 2012
Michal Tomlein   +5 more
openalex   +1 more source

Enhanced Multitask Learning with Attention Sparse Routing Mechanism for Intelligent Diabetes Prediction

open access: yesAdvanced Intelligent Systems, EarlyView.
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

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