Results 291 to 300 of about 10,517,742 (364)
Computational and AI‐Driven Design of Hydrogels for Bioelectronic Applications
This review highlights the role of AI in advancing hydrogel design for bioelectronics, exploring natural, and synthetic gels tailored for applications like wound healing, biosensing, and tissue engineering. It emphasizes the synergy between hydrogels, electronics, and AI in creating responsive, multifunctional systems, showcasing recent innovations ...
Rebekah Finster+2 more
wiley +1 more source
Unveiling the Dynamic Mechanisms of Generative AI in English Language Learning: A Hybrid Study Based on fsQCA and System Dynamics. [PDF]
Zhang Y, Dong C.
europepmc +1 more source
This study presents an ECRAM‐based physical reservoir computing system for real‐time electrocardiogram arrhythmia detection. By optimizing electrolyte ionic conductivity and channel ionic diffusivity, it achieves including non‐linear dynamics, millisecond‐scale tunable retention, low‐power operation, and minimal variation.
Kyumin Lee+3 more
wiley +1 more source
Advanced language learning: The contribution of Halliday and Vygotsky by Heidi Byrnes (Ed.)
Hossein Nassaji
doaj
Second language learning in older adults modulates Stroop task performance and brain activation. [PDF]
Schultz DH+7 more
europepmc +1 more source
This paper presents a dual‐layer device integrating neuronal and synaptic functions using a conductive bottom layer (MXenes or rGO) and a gallium oxide top layer. The device demonstrates distinct switching behaviors—volatile (neuronal) and gradual (synaptic)—depending on the configuration.
Suji Ha+6 more
wiley +1 more source
Semantic cues facilitate structural generalizations in artificial language learning. [PDF]
Conwell E, Snedeker J.
europepmc +1 more source
Ultrathin ITO and ferroelectric HZO are used to fabricate synaptic transistors. The device has a great on/off ratio ≈108 with a memory window of 1.73 V, successfully simulates the characteristics of the human brain, and achieves good linearity of 0.45 for potential and 0.73 for depression and low asymmetry of 0.89.
Siwei Wang+8 more
wiley +1 more source
Evaluating the accuracy of advanced language learning models in ophthalmology: A comparative study of ChatGPT-4o and Meta AI's Llama 3.1. [PDF]
Lin T, Lin RT, Mhaskar R, Margo CE.
europepmc +1 more source
Rationally Design Thermoelectric Materials Based on Ingenious Machine Learning Methods
A machine learning framework is developed to accurately predict thermoelectric performance of materials. By combining high‐quality data, advanced feature engineering, and machine learning, the model identifies promising candidates like CsCdBr3 and TlBSe3.
Yuqing Sun+4 more
wiley +1 more source