Results 101 to 110 of about 13,692 (309)

A Comparison of Perceptual and Semantic Priming [PDF]

open access: yes, 2014
Masked Priming is an established paradigm to investigate consciousness. The impact of prime visibility on specific priming effects determines whether associated processes can occur independently of consciousness or might rely on consciousness.
Wernicke, Martina
core   +1 more source

How Advanced Artificial Intelligence Technologies Shape Drug–Drug and Drug–Target Interaction Modeling

open access: yesAdvanced Science, EarlyView.
This review explores the convergence of artificial intelligence technologies in modeling drug–drug and drug–target interactions. By evaluating advanced feature engineering, architectural innovations, and learning paradigms reveals shared evolutionary trends and critical challenges, such as cold‐start settings and shortcut learning.
Xin Sun, Tong Wang
wiley   +1 more source

Structural priming in production through ‘silence’: An investigation of verb phrase ellipsis and null complement anaphora

open access: yesGlossa, 2019
There are two common competing conceptions of how ellipsis can be resolved: in the first, ellipsis is resolved by constructing unpronounced syntactic representations at the ellipsis site; in the second, ellipsis can be resolved by consulting the semantic/
Jason Merchant, Julian Grove, Ming Xiang
doaj   +2 more sources

Priming as a means of preventing skill failure under pressure

open access: yes, 2010
Copyright @ 2010 Human KineticsThe present study examined the effectiveness of a priming paradigm in alleviating skill failure under stress. The priming intervention took the form of a scrambled sentence task.
Ashford, K   +3 more
core  

PhosSight: A Unified Deep Learning Framework Boosting and Accelerating Phosphoproteome Identification to Enable Biological Discoveries

open access: yesAdvanced Science, EarlyView.
PhosSight is a unified deep‐learning framework for phosphoproteome identification, featured by a phosphorylation‐aware detectability predictor. It improves identification sensitivity in DDA through deep re‐localization and rescoring, accelerates DIA searches by detectability‐guided spectral library pruning, and expands phosphoproteome coverage to ...
Ben Wang   +10 more
wiley   +1 more source

Lexical-semantic processing in the semantic priming paradigm in aphasic patients

open access: yesArquivos de Neuro-Psiquiatria, 2012
There is evidence that the explicit lexical-semantic processing deficits which characterize aphasia may be observed in the absence of implicit semantic impairment.
Jerusa Fumagalli de Salles   +4 more
doaj   +1 more source

stMixer for Scalable Mosaic Integration and Label Transfer in Spatial Histology and Multi‐Omics

open access: yesAdvanced Science, EarlyView.
stMixer is an unsupervised framework for scalable integration and label transfer across spatial histology and multi‐slide multi‐omics data with incomplete modality overlap. It combines self‐looped cross‐attention, multimodal metric learning, and graph‐guided cluster voting to align heterogeneous sections, correct batch effects, and propagate ...
Qixing Yang   +3 more
wiley   +1 more source

Independent Semantic and Syntactic Representations in L2 Mandarin Learners: Evidence from Structural Priming

open access: yesEducation Sciences
Structural representations in English have been shown to be quite abstract, with structural information being represented independently from semantic information.
Douglas J. Getty, Xiang Wei, Lin Chen
doaj   +1 more source

Brain activity during automatic semantic priming revealed by event-related functional magnetic resonance imaging

open access: yes, 2002
Semantic priming occurs when a subject is faster in recognising a target word when it is preceded by a related word compared to an unrelated word.
Chenery, Helen J.   +6 more
core   +1 more source

Machine Learning‐Driven Prediction of Microplastic Aging Processes and Environmental Risk Assessment Across Multi‐Media Systems

open access: yesAdvanced Science, EarlyView.
This perspective proposes a cohesive machine learning strategy to decode microplastic aging. It advocates for Federated Learning to dismantle global data silos and introduces the TRACE framework (TRansport, Aging, Corona, Ecotoxicity). By integrating physics‐informed modeling with causal discovery, this approach bridges the laboratory‐field gap to ...
Yaping Lyu   +6 more
wiley   +1 more source

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