Results 151 to 160 of about 13,692 (309)
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia +2 more
wiley +1 more source
The Influence of the BDNF Val66Met Polymorphism on Mechanisms of Semantic Priming: Analyses with Drift-Diffusion Models of Masked and Unmasked Priming. [PDF]
Berger A, Sanwald S, Montag C, Kiefer M.
europepmc +1 more source
Simple arithmetic processing: The question of automaticity
In adult simple arithmetic performance, it is commonly held that retrieval of solutions occurs automatically from a network of stored facts in memory.
Coney, J.R., Jackson, N.D.
core
Multimodal Learning with Rashomon Analysis for Battery Discharge Capacity Prediction
Multimodal fusion integrates composition, crystal‐structure, and radial‐distribution descriptors to predict battery discharge capacity. Rashomon analysis across near‐optimal models reveals that explanatory variation is structured rather than arbitrary, separating stable mechanistic signals from model‐contingent attributions and providing a more ...
Jue Gong +4 more
wiley +1 more source
Artificial intelligence is redefining network pharmacology (NP). By integrating knowledge graph engineering, geometric deep learning, multiomics anchoring, and generative reasoning, AI‐driven NP (AI‐NP) transforms static target mapping into dynamic, predictive modeling.
Cong Wang +9 more
wiley +1 more source
Relationship between semantic priming effects and phonological priming effects [PDF]
application/pdfThe effects of semantically related primes and phonologically similar primes were investigated. Tasks for processing targets were either lexical decision or vowel detection. SOA's (stimulus onset asynchrony) were 200ms or 800ms.
イノキ, ショウソウ +5 more
core
BMPCQA: Bioinspired Metaverse Point Cloud Quality Assessment Based on Large Multimodal Models
This study presents a bioinspired metaverse point cloud quality assessment metric, which simulates the human visual evaluation process to perform the point cloud quality assessment task. It first extracts rendering projection video features, normal image features, and point cloud patch features, which are then fed into a large multimodal model to ...
Huiyu Duan +7 more
wiley +1 more source
Musculoskeletal humanoids exhibit rich biomechanical properties that remain insufficiently unified in prior discussions. This article systematically categorizes muscle characteristics into five properties: redundancy, independency, anisotropy, variable moment arm, and nonlinear elasticity, and analyzes their combined effects on control.
Kento Kawaharazuka +2 more
wiley +1 more source
Attention to semantic and spatial information in aging and Alzheimer's disease
In two experiments we explored the patterns of attention to semantic and spatial information in younger adults, older adults, and patients with Alzheimers disease (AD). In the first experiment, a semantic priming task measured age- and AD-
Christina Bastin de Jong +3 more
doaj
Theories and Models of Semantic Priming
This study deals with semantic priming on the basis of the books titled Semantic Priming Perspectives from Memory and Word Recognition by Timothy P. McNamara and Psycholinguistics Central Topics by Alan Garnham.
Rácz, Borbála
core

