Results 231 to 240 of about 5,041 (300)
ABSTRACT AI‐driven personalization now structures search, recommendation, pricing, and service across the consumer journey, heightening a core dilemma: maximizing relevance and efficiency without compromising autonomy and trust. This article advances a capability‐based account of responsible personalization.
Yu‐Ming Hsu
wiley +1 more source
Benchmarking Large Language Models for Polymer Property Predictions
Large language models (LLMs) are fine‐tuned on polymer thermal property datasets to directly predict glass transition, melting, and decomposition temperatures from SMILES inputs. Compared to state‐of‐the‐art models such as Polymer Genome, polyGNN, and polyBERT, LLMs achieve competitive yet lower accuracy.
Sonakshi Gupta +3 more
wiley +1 more source
Marked unergatives: Syntactic ergativity and nominalizations. [PDF]
Hopperdietzel J, Alexiadou A.
europepmc +1 more source
Challenges and Opportunities in Machine Learning for Light‐Emitting Polymers
The performance of light‐emitting polymers emerges from coupled effects of chemical diversity, morphology, and exciton dynamics across multiple length scales. This Perspective reviews recent design strategies and experimental challenges, and discusses how machine learning can unify descriptors, data, and modeling approaches to efficiently navigate ...
Tian Tian, Yinyin Bao
wiley +1 more source
Evaluating the phylogenetic signal of morphosyntax. [PDF]
Sleeman R +6 more
europepmc +1 more source
Movement Disorders Associated with 22q11.2 Microdeletion: A Scoping Review
Abstract Background Movement disorders have recently emerged as important neurologic manifestations of the 22q11.2 microdeletion that affects nearly one in every 2000 live births. Objective We aimed to map the existing evidence regarding the spectrum, diagnosis and treatment, and etiopathogenesis of movement disorders associated with 22q11.2 ...
Nikolai Gil D. Reyes +6 more
wiley +1 more source
Quantifying and Minimizing the Variance of Gradient Insulator-Based Dielectrophoresis. [PDF]
Nguyen H, Rasel AKMFK, Hayes MA.
europepmc +1 more source
ABSTRACT We propose a general procedure for estimating the variance–covariance matrix of two‐step estimates of structural parameters in latent variable models. The method is partially simulation‐based, in that it includes drawing simulated values of the measurement parameters of the model from their sampling distribution obtained from the first step of
Roberto Di Mari, Jouni Kuha
wiley +1 more source
Penalized eigenvalue block averaging: Extension to nested model comparison and Monte Carlo evaluations. [PDF]
Foldnes N, Grønneberg S, Moss J.
europepmc +1 more source

