Results 41 to 50 of about 7,126 (164)
Advanced Science, Volume 13, Issue 23, 23 April 2026.This review offers a comprehensive comparison between perovskites and perovskite‐inspired materials (PIMs), focusing on their crystal structures, electronic properties, and chemical compositions. It evaluates the applicability of machine learning (ML) descriptors and models across both material classes.
Yangfan Zhang +6 more
wiley +1 more source
Alzheimer's &Dementia, Volume 22, Issue 4, April 2026.Abstract INTRODUCTION Biomarkers identify Alzheimer's disease pathology in cognitively unimpaired adults, but the timing and rate of cognitive decline vary widely. This study aimed to identify subgroups of cognitive decline and baseline predictors of heterogeneity in preclinical progression.
Runpeng Li +6 more
wiley +1 more source
Preparing, restructuring, and augmenting a French treebank: lexicalised parsers or coherent treebanks? [PDF]
, 2007 We present the Modified French Treebank (MFT), a completely revamped French Treebank, derived from the Paris 7 Treebank (P7T), which is cleaner, more coherent, has several transformed structures, and introduces new linguistic analyses.
Schluter, Natalie, van Genabith, Josef
core
Reducing social media use via contingency management: A replication and extension
Journal of Applied Behavior Analysis, Volume 59, Issue 2, Spring 2026.Abstract Public health concerns about social media use (SMU) have generated interest in the development of interventions capable of reducing SMU. In this study, we replicated and extended Stinson and Dallery (2023) by evaluating the effects of a contingency management with alternative activity selection intervention on SMU and engagement in alternative
Dilara Olgun +3 more
wiley +1 more source
Single‐Cell and Spatial Omics: Methods and Applications
MedComm, Volume 7, Issue 4, April 2026.Systematically summarized the breakthrough sequencing technologies and computational methods for single‐cell and spatial omics across multiple omics layers, including genome, epigenome, transcriptome, proteome, and metabolome. State‐of‐the‐art methods for multi‐omics integration, cross‐modal integration, and cross‐scale integration were reviewed, with ...
Xiaoping Cen +10 more
wiley +1 more source
Three Generative, Lexicalised Models for Statistical Parsing
, 1997 In this paper we first propose a new statistical parsing model, which is a generative model of lexicalised context-free grammar. We then extend the model to include a probabilistic treatment of both subcategorisation and wh-movement.
Collins, Michael
core +5 more sources
Disambiguation Filters for Scannerless Generalized LR Parsers [PDF]
, 2002 In this paper we present the fusion of generalized LR parsing and scannerless parsing. This combination supports syntax de.nitions in which all aspects (lexical and context-free) of the syntax of a language are de.ned explicitly in one formalism. Furthermore, there are no restrictions on the class of grammars, thus allowing a natural syntax tree ...
Mark van den Brand +3 more
openaire +6 more sources
Muscle &Nerve, Volume 73, Issue 4, Page 559-565, April 2026.ABSTRACT Introduction/Aims Digital nerve lacerations are common. Current methods employed to differentiate intact and transected digital nerves lack diagnostic accuracy. This may result in patients with intact nerves undergoing unnecessary surgery. The objective of the study was to determine the best diagnostic method for detecting true sensory nerve ...
Joshua N. Wong +5 more
wiley +1 more source
Reachability and error diagnosis in LR(1) parsers [PDF]
Proceedings of the 25th International Conference on Compiler Construction, 2016 Given an LR(1) automaton, what are the states in which an error can be detected? For each such " error state " , what is a minimal input sentence that causes an error in this state? We propose an algorithm that answers these questions. This allows building a collection of pairs of an erroneous input sentence and a (handwritten) diagnostic message ...
openaire +2 more sources
Supervised learning of protein variant effects across large‐scale mutagenesis datasets
Protein Science, Volume 35, Issue 4, April 2026.Abstract The increasing availability of data from multiplexed assays of variant effects (MAVEs) enables supervised model training against large quantities of experimental data to learn sequence‐function relationships. Variant effect scores from MAVEs can, however, be influenced by the experimental method and library composition, resulting in experiment‐
Thea K. Schulze +3 more
wiley +1 more source