Results 81 to 90 of about 10,099,837 (194)
OECT‐based neural interfaces integrate mixed ionic‐electronic transduction, soft biointegration, multimodal sensing, and closed‐loop modulation, enabling adaptive recording, neurochemical monitoring, and intelligent therapeutic strategies. Abstract Next‐generation neural interfaces increasingly aim to couple neural recording with local processing and ...
Chao Zhao +10 more
wiley +1 more source
Mechanical memory in aging: From adaptive sensing to pathological entrenchment
Mechanical memory in aging operates through four temporal tiers, from cytoskeletal remodeling to metabolic reprogramming. Aging disrupts this cascade through three distinct decoupling patterns: sensor degradation, conduction blockade, and execution failure, leading to irreversible pathological entrenchment across multiple organ systems.
Mingyang Huang +7 more
wiley +1 more source
Representation Independence of Nonmonotonic Inference Relations
A logical concept of representation independence is developed for nonmonotonic logics, including probabilistic inference systems. The general framework then is applied to several nonmonotonic logics, particularly propositional probabilistic logics.
Manfred Jaeger, Jaeger, M.
core
ABSTRACT Bisphenol A (BPA) is a widely used industrial chemical found in polycarbonate plastics and epoxy resins and is recognized for its endocrine‐disrupting properties. Human exposure is common due to its presence in food packaging and everyday products. As BPA use has been restricted, structurally similar compounds such as BPS, BPB, BPAF, and BADGE
Nurbanu Zengin +4 more
wiley +1 more source
A sequence‐sensitive multi‐fidelity hybrid modeling framework combined with a teacher‐student genetic algorithm enables the inverse design of copolyamides. The hybrid model balances prediction accuracy, sequence‑sensitivity, and computational cost. A two‑tier genetic algorithm can efficiently identify the monomer structures and ratios of copolyamides ...
Sheng Chen +8 more
wiley +1 more source
A physics‐informed machine learning framework is established for phase prediction in FeNiCoCrAlCu HEA. Limited experimental data are expanded through GMM‐based augmentation, followed by descriptor calculation, Pearson‐PCA feature optimization, stacking ensemble classification, and SHAP interpretation, enabling accurate phase identification and ...
Ruixiao Zhang +5 more
wiley +1 more source
Chapter 1 Nonmonotonic Causal Logic
This chapter describes a nonmonotonic causal logic designed for representing knowledge about the effects of actions. A causal rule φ ⇐ ψ where φ and ψ are formulas of classical logic, is understood to express that (the truth of) ψ is a sufficient ...
Hudson Turner
core
ABSTRACT Purpose Spherical and linear b‐tensor encoding (STE and LTE) enables quantification of microscopic diffusion anisotropy and diffusional variance. However, such waveforms are often variably sensitive to time‐dependent diffusion, causing rotational variance and spectral mismatch.
Felix Mortensen +6 more
wiley +1 more source
Spectral Density Bandwidth Choice: Source of Nonmonotonic Power for Tests of a Mean Shift in a Time Series [PDF]
Data dependent bandwidth choices for zero frequency spectral density estimators of a time series are shown to be an important source of nonmonotonic power when testing for a shift in mean.
Vogelsang, Timothy, Crainiceanu, Ciprian
core
Heavy‐Metal‐Free Colloidal Quantum Dots for Photocatalysis
Heavy‐metal‐free colloidal quantum dots provide sustainable photocatalytic platforms by combining tunable band structures, strong light absorption, and programmable surfaces/interfaces. This Review highlights how core/shell engineering, alloying, defect regulation, ligand design, and hybrid‐interface construction direct charge separation and ...
Xintong Xu, Ge Yang, Qin Li, Dechao Chen
wiley +1 more source

