Topic-Aware Summarization of Lived Health Care Experiences: Large Language Model Evaluation Study. [PDF]
Bilalpur M +5 more
europepmc +1 more source
A Direct Proof of the Inherent Ambiguity of a Simple Context-Free Language
H. Maurer
semanticscholar +1 more source
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong +12 more
wiley +1 more source
Transforming biomedical uncertainty: the sociohistorical origins of myalgic encephalomyelitis (ME) and chronic fatigue syndrome (CFS). [PDF]
Cross S.
europepmc +1 more source
Interconvertbility of set constraints and context-free language reachability
David Melski, T. Reps
semanticscholar +1 more source
Residual magnetization induces pronounced mechanical anisotropy in ultra‐soft magnetorheological elastomers, shaping deformation and actuation even without external magnetic fields. This study introduces a computational‐experimental framework integrating magneto‐mechanical coupling into topology optimization for designing soft magnetic actuators with ...
Carlos Perez‐Garcia +3 more
wiley +1 more source
Tracking the dynamic breakdown of contextual coherence in schizophrenia using language models. [PDF]
Ryu S +7 more
europepmc +1 more source
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Automated Identification of Nursing Diagnoses and Interventions From Nursing Records Using a Retrieval-Augmented Large Language Model Approach: Quantitative Study. [PDF]
Li M +7 more
europepmc +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source

