Results 251 to 260 of about 38,313 (309)

Ultrahigh‐Linear Bio‐Inspired Janus Elastomeric Strain Sensor with High Sensitivity and Stretchability via Surface Wrinkle Engineering

Advanced Science, EarlyView.
A bio‐inspired Micro‐wrinkled Janus elastomeric flexible strain sensor mimicking wrinkled‐leaf viburnum is developed. Endowed with a synergistic sensing mechanism including wrinkle‐guided microcracks, modulus‐gradient‐driven strain division, and a parallel conductive circuit, it achieves ultra‐high linearity, sensitivity, wide strain range, and ...
Jing Lin, Ye Li, Simi Yu, Xing Cheng, Longxin Qian, Yufei Chen, Womin Li, Zhipeng Yang, Yinlei Lin, Dechao Hu, Jianyi Luo, Lan Liu   +11 more
wiley   +1 more source

Neuromorphic Motor Control with Electrolyte‐Gated Organic Synaptic Transistors

Advanced Electronic Materials, EarlyView.
Electrolyte‐gated organic synaptic transistor (EGOST)‐based neuromorphic motor control systems integrate sensing, processing, and actuation by mimicking biological synapses. With advantages such as low power consumption, tunable synaptic plasticity, and mechanical flexibility, they are emerging as next‐generation core technologies for real‐time ...
Sung‐Hwan Kim, Ju‐Hyeok Yun, Hea‐Lim Park, Sin‐Hyung Lee   +3 more
wiley   +1 more source

The cell as a token: high-dimensional geometry in language models and cell embeddings. [PDF]

Bioinformatics
Gilpin W.
europepmc   +1 more source

Exercise and Nutrition Prehabilitation Program During Preoperative Chemotherapy Followed by Esophagectomy in Older Patients With Esophageal Cancer: A Randomized Clinical Trial

Annals of Gastroenterological Surgery, EarlyView.
This prospective randomized trial evaluated whether prehabilitation, exercise and nutrition intervention, enhance skeletal muscle mass during neoadjuvant chemotherapy in older patients with esophageal cancer undergoing esophagectomy. We also investigated whether exercise alone was sufficient to increase skeletal muscle mass, and whether nutritional ...
Keijiro Sugimura, Takashi Kanemura, Tomohira Takeoka, Takahito Sugase, Norihiro Matsuura, Kazuyoshi Yamamoto, Masahiko Yano, Hiroshi Miyata   +7 more
wiley   +1 more source

Comparison of Large Language Model with Aphasia. [PDF]

Adv Sci (Weinh)
Watanabe T, Inoue K, Kuniyoshi Y, Nakajima K, Aihara K.   +4 more
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Virtual reality in school-based health promotion: a mixed-methods evaluation of adolescent alcohol, vaping, and other drug use prevention. [PDF]

Health Promot Int
Jiang C, Saleme P, Dietrich T, Durl J.
europepmc   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

Emergent complexity in the decision-making process of chess players. [PDF]

Sci Rep
Chacoma A, Billoni OV.
europepmc   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source