Results 231 to 240 of about 24,763 (252)
Analysis of Deep Reinforcement Learning Algorithms for Task Offloading and Resource Allocation in Fog Computing Environments. [PDF]
Sensors (Basel)Ali EM, Abawajy J, Lemma F, Baho SA.
europepmc +1 more source
Diabetes, Obesity and Metabolism, Volume 27, Issue 11, Page 6167-6177, November 2025.Abstract Aims Diabetic foot complications are a growing challenge for both individuals and society, underscoring the need for medical treatments and reliable risk markers. This study aimed to identify circulating metabolites associated with the prevalence and incidence of diabetic foot complications in individuals with type 1 diabetes (T1D).
Jonas A. Andersen +10 more
wiley +1 more source
Advanced Electronic Materials, Volume 11, Issue 16, October 6, 2025.This review explores the potential of smart textile systems for monitoring loneliness in older adults. It presents key behavioral and physiological indicators of loneliness and evaluates recent sensing and design innovations in smart textile technology. The study identifies challenges and outlines opportunities for developing user‐centered, comfortable
Yi Zhou +12 more
wiley +1 more source
Decentralized and Network-Aware Task Offloading for Smart Transportation via Blockchain. [PDF]
Sensors (Basel)Liang F.
europepmc +1 more source
ESC Heart Failure, Volume 12, Issue 5, Page 3333-3342, October 2025.Abstract Aims Donation after circulatory death (DCD) has emerged as a strategy to increase the donor pool for heart transplantation (HT). Left ventricular assist device (LVAD) patients represent a discrete and unique population. We sought to explore the early outcomes of DCD‐HT compared with donation after brain death (DBD) HT in LVAD patients. Methods
Aris Karatasakis +13 more
wiley +1 more source
Cooperative Schemes for Joint Latency and Energy Consumption Minimization in UAV-MEC Networks. [PDF]
Sensors (Basel)Cheng M, He S, Pan Y, Lin M, Zhu WP.
europepmc +1 more source
Engineering Reports, Volume 7, Issue 10, October 2025.Machine learning‐enhanced NIDS, integrating diverse data sources and rigorous feature selection, achieves near‐perfect detection of sophisticated evasive cyber threats—including APTs, DDoS, zero‐day exploits, and MitM attacks—surpassing industry benchmarks in accuracy, precision, recall, and F1$$ {\mathrm{F}}_1 $$‐score. ABSTRACT Advanced cyber threats
Khandakar Md Shafin +2 more
wiley +1 more source
Multi objective reinforcement learning driven task offloading algorithm for satellite edge computing networks. [PDF]
Sci RepXu S, Liu J, Tang J, Liu X, Li Z.
europepmc +1 more source
MedComm, Volume 6, Issue 10, October 2025.Hypertrophic scars and keloids highlight distinct epidemiology, multifactorial triggers (genetic, mechanical, medical), and dysregulated signaling hubs (TGF‐β, Integrin‐FAK, Wnt/β‐catenin). Emerging interventions targeting fibroblast plasticity, inflammation, and biomechanics via gene editing, immune modulation, and biomaterials are increasingly ...
Xiaowan Fang +7 more
wiley +1 more source