Results 171 to 180 of about 10,350,910 (281)

Electronics‐Free Visual Monitoring of Dry Eye Disease‐Related Tear Biomarkers Using Smart Scleral Lenses

Advanced Science, EarlyView.
An electronics‐free smart scleral lens passively monitors dry eye disease‐related tear biomarkers through colorimetric sensing of chloride, pH, and ocular surface temperature. Smartphone‐assisted image analysis enables quantitative interpretation, providing a simple, non‐invasive strategy for ocular health monitoring without integrated electronics ...
Ziheng Wang, Sang Mok Park, Dawn Meyer, Seul Ah Lee, Yumin Dai, Tianhao Yu, Taewoong Park, Feiyang Li, Jason Gerard Jedlicka, Tristan Michael Long, Oluwabunmi T. Oladele, Gillian C. Shaw, Shin Ae Park, Pete S. Kollbaum, Young L. Kim, Chi Hwan Lee   +15 more
wiley   +1 more source

Operating-Regime Evaluation of Byzantine-Resilient Multi-Agent Reinforcement Learning for Sensor-Networked Safe Formation Control. [PDF]

Sensors (Basel)
Ma F, Ma Y, Dang Y, Ma Y, Ma H.
europepmc   +1 more source

Multi‐Technique Integration Identifies O‐GlcNAc Transferase in Fibroblast‐Like Synoviocytes as a Therapeutic Target for Rheumatoid Arthritis

Advanced Science, EarlyView.
AI‑guided single‑cell transcriptomics identifies OGT as a key regulator enriched in rheumatoid arthritis fibroblast‑like synoviocytes (RA‐FLSs). Inflammatory stimuli activate the OGT–SAP130 axis, which modulates the H3K27ac/H3K27me3 balance and epigenetically silences BTG2, promoting aggressive transformation of RA‑FLSs.
Duoli Xie, Jie Huang, Chunhao Cao, Zhenchao Tang, Xingchen Li, Jianmin Guo, Xinxin Chen, Fang Wang, Dongyi He, Jie Li, Yu Du, Bing He, Jianhua Yao, Aiping Lu, Chao Liang   +14 more
wiley   +1 more source

A hierarchical multi-agent reinforcement learning framework with high-level guidance from large language models. [PDF]

Sci Rep
Bai J, Zhu W, Wang X, Kou K, Guo S, Liu S, Li D, Ni T, Zhou J, Zhong Y.   +9 more
europepmc   +1 more source

Adaptive Conductive Systems: Enabling Deformable Electronics Through Engineered Materials, Circuits, and Intelligent Systems

Advanced Science, EarlyView.
This review presents the research advances of adaptive conductive systems from the perspective of materials, circuits, systems, and applications. Deformable conductors consist of substrates/matrices and conductive materials, structural design of circuit interconnections, fabrication of circuit interconnections, as well as intelligent systems ...
Yufei Lu, Siyu Liang, Jingyi Niu, Jie Chen, Shuo Zhang, Hongjian Zhang, Dongsheng Jia, Wei Huang   +7 more
wiley   +1 more source

Computation Offloading Strategy Based on Multi-Agent Reinforcement Learning in Vehicular Edge Computing Networks. [PDF]

Sensors (Basel)
Liu Y, Sun Q, Liu Z.
europepmc   +1 more source

Tumor Exposomics: A New Paradigm for Individualized Continuous Exposure Monitoring

Advanced Science, EarlyView.
Tumor exposomics integrates continuous monitoring of environmental exposures, endogenous biological responses, and behavioral factors within a unified temporal framework. By combining multimodal sensing technologies with AI‐enabled causal modeling, this emerging paradigm reconstructs exposure‐damage trajectories and supports individualized dynamic risk
Kaicheng Shen, Weiyi Wang, Yang Wang, Yiqiang Wu, Xiaohong Liu, Wei Zhang, Juanjuan Ou   +6 more
wiley   +1 more source

Hierarchical multi-agent reinforcement learning for retrieval-augmented industrial document question answering. [PDF]

Sci Rep
Qian Y, Han B, Yuan Y, Zhang X, Zhu H, Ni L, Zhong S.   +6 more
europepmc   +1 more source

Organic Electrochemical Transistors for Neuromorphic Bioelectronics: Materials and Manufacturing Technologies

Advanced Science, EarlyView.
Organic electrochemical transistors bridge biological ionic signaling and neuromorphic computation through volumetric electrochemical gating. This review connects Organic mixed ionic–electronic conductor materials, device architectures, and manufacturing technologies to show how geometry, ion transport, and fabrication strategies program plasticity ...
Hyunjin Lee, Jihyang Park, Xinyi Wang, Yueqi Deng, Jiashu Ren, Tao Zhou   +5 more
wiley   +1 more source

Parametrized Graph Convolutional Multi-Agent Reinforcement Learning with Hybrid Action Spaces in Dynamic Topologies. [PDF]

Biomimetics (Basel)
Chi P, Liu C, Zhao J, Wang Y.
europepmc   +1 more source