Results 101 to 110 of about 2,502,977 (224)
Advanced Intelligent Systems, EarlyView.An AI‐enabled micromixing framework is developed by integrating cGAN with Bayesian optimization for predictive control of microrobot‐driven flow manipulation. Through this framework, the spatiotemporal evolution of micromixing is learned directly from experimental images, while rapid identification of optimized microrobot actuation strategies is ...
Dineshkumar Loganathan, Chia‐Yuan Chen
wiley +1 more source
Advanced Intelligent Systems, EarlyView.A schema‐first alignment framework builds compact, executable domain‐specific language models under data scarcity. Large‐scale synthetic question‐answer generation instills domain knowledge, and a code‐centric IR‐to‐DPO pipeline aligns generation with tool‐executable syntax.
Di Wang +4 more
wiley +1 more source
Fatigue‐Driven Adaptive Assistance for a Semi‐Active Upper‐Limb Occupational Exoskeleton
Advanced Intelligent Systems, EarlyView.Physical fatigue during a physical activity is estimated in real time to enable adaptive exoskeleton assistance. By continuously adjusting the level of support according to the user’s fatigue, this approach reduces physical demand and provides a pathway toward personalized exoskeleton assistance.
Seemab Zakir +6 more
wiley +1 more source
A simulated study of implicit feedback models [PDF]
, 2004 In this paper we report on a study of implicit feedback models for unobtrusively tracking the information needs of searchers. Such models use relevance information gathered from searcher interaction and can be a potential substitute for explicit ...
van Rijsbergen, C.J. +3 more
core
Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy
Advanced Intelligent Systems, EarlyView.This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne +5 more
wiley +1 more source
American Journal of Medical Genetics Part A, EarlyView.ABSTRACT Genetic modifiers of Duchenne muscular dystrophy (DMD) that alter disease severity or response to therapy have been reported using natural history or registry data sets of older corticosteroid‐treated patients. We tested associations of genetic modifiers on motor function outcomes in young (4 to < 7 years) steroid naïve clinical trial ...
Utkarsh J. Dang +16 more
wiley +1 more source
The Role of Glutamatergic and Dopaminergic Genes in Resistant Schizophrenia: A Systematic Review
American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, EarlyView.ABSTRACT Psychosis is a heterogeneous disorder, with approximately one‐third of patients experiencing treatment resistance, predominantly among individuals diagnosed with Schizophrenia. Treatment‐resistant schizophrenia (TRS) may stem from a distinct biological signature, involving abnormalities in the dopaminergic and glutamatergic systems.
Maria Teresa Moreno‐Calle +3 more
wiley +1 more source
Australian Journal of Social Issues, EarlyView.ABSTRACT In Australia, governments fund Community Legal Centres (CLCs) as part of the legal assistance sector (LAS) to meet the ‘legal needs’ of people experiencing disadvantage who cannot afford private legal services. Persistent unmet demand for CLCs is well‐documented. As artificial intelligence (AI) is increasingly used in private legal practice to
Catherine Hastings +2 more
wiley +1 more source
Animal stroke models and outcome evaluation: A review
Animal Models and Experimental Medicine, EarlyView.Rodents are the preeminent stroke model species. Large animal models exist too, but are poorly standardized. Ischemic and hemorrhagic experimental models are available, with the intraluminal filament model being predominant. Outcomes are evaluated via quantifying subjects' sensorimotor impairment, cognitive memory faculties, degree of cellular ...
Solsa Cariba +2 more
wiley +1 more source
Polymer‐Based Probabilistic Bits for Thermodynamic Computing
Advanced Physics Research, EarlyView.Electropolymerized conjugated polymers function as intrinsic entropy sources for probabilistic computing. Thermally driven conformational fluctuations of pendant triphenylamine groups produce stochastic resistance dynamics that are transduced into voltage‐gated probabilistic bits following logistic transfer functions identical to those of stochastic ...
Stephen H. Foulger +7 more
wiley +1 more source