Results 111 to 120 of about 4,294,534 (298)
Temporal reasoning is fundamental to information processing systems that organize and interpret event-centric knowledge. Existing evaluations, however, typically assess large language models (LLMs) in contexts densely grounded by explicit timestamps ...
Feifei Sun +4 more
doaj +1 more source
Objective This study aimed to characterize cannabis product choices (cannabinoid content and formulation) among patients with rheumatologic conditions and their associations with patient factors, patient‐reported perceived side effects, and positive impacts.
Susan Zhang +10 more
wiley +1 more source
TempReasoner: neural temporal graph networks for event timeline construction
Constructing event timelines from unstructured temporal data is a fundamental challenge for knowledge extraction and reasoning systems. Existing temporal reasoning methods face challenges in jointly modelling fine-grained temporal dependencies, sparse ...
Mohammed Aldawsari
doaj +1 more source
Temporal–Semantic Aligning and Reasoning Transformer for Audio-Visual Zero-Shot Learning
Zero-shot learning (ZSL) enables models to recognize categories not encountered during training, which is crucial for categories with limited data. Existing methods overlook efficient temporal modeling in multimodal data.
Kaiwen Zhang, Kunchen Zhao, Yunong Tian
doaj +1 more source
Objective Race and household income impact outcomes in patients with rheumatic conditions; however, their role in pediatric antineutrophil cytoplasmic antibody (ANCA)–associated vasculitis (AAV) remains poorly understood. We aimed to evaluate whether race and ethnicity and household income are associated with severe AAV disease and renal outcomes among
Roberto Alejandro Valdovinos +2 more
wiley +1 more source
Multigranular spatio-temporal models: implementation challenges [PDF]
Multiple granularities provide an essential support for extracting significant knowledge from spatio-temporal datasets at different levels of details.
Elena Camossi +5 more
core +1 more source
THE NEURAL SUBSTRATE OF REASONING: AN fMRI STUDY
OBJECTIVE: This was a functional magnetic resonance imaging (fMRI) study aimed at providing insight into the neural substrate of human reasoning ability. MATERIAL-METHOD: We scanned 15 subjects with fMRI, using an event-related design, while they engaged
AS Belekou +4 more
doaj +1 more source
Reasoning, models, and images: behavioral measures and cortical activity [PDF]
The goal of this study was to investigate the neurocognitive processes of mental imagery in deductive reasoning. Behavioral studies yielded four sorts of verbal relations: (1) visuospatial relations that are easy to envisage both visually and spatially; (
Johnson Laird, PN +11 more
core +1 more source
Extrapolation Reasoning on Temporal Knowledge Graphs via Temporal Dependencies Learning
Extrapolation on Temporal Knowledge Graphs (TKGs) aims to predict future knowledge from a set of historical Knowledge Graphs in chronological order. The temporally adjacent facts in TKGs naturally form event sequences, called event evolution patterns ...
Ye Wang +5 more
doaj +1 more source
Anorectal Dysfunction in Systemic Sclerosis: Clinical Phenotypes and Functional Patterns
Objective The aim of this study was to characterize specific physiologic defects in anorectal dysfunction in systemic sclerosis (SSc) using anorectal manometry (ARM), evaluate associations with gastrointestinal (GI) and extraintestinal clinical phenotypes, and explore potential serologic markers for risk stratification.
Timothy Kaniecki +6 more
wiley +1 more source

