The Effects of Cognitive Fatigue and Articulatory Suppression on Statistical Language Learning Depend on the Strength of Cognitive Resources. [PDF]
Smalle EHM, Karantinou E, Möttönen R.
europepmc +1 more source
Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia +7 more
wiley +1 more source
AI interactivity and human-technology engagement: psychological mechanisms underlying learners' intention to use AI tools in language learning contexts. [PDF]
Lyu C, Tang S, Li S.
europepmc +1 more source
Human‐relevant methods are essential for modern chemical safety assessment. This study helps define the capabilities and boundaries of an in vitro testing battery for developmental neurotoxicity by exploring its biological applicability domain. By linking neurodevelopmental disease‐related pathways to key neurodevelopmental processes, the work enhances
Eliska Kuchovska +14 more
wiley +1 more source
Editorial: Learning, digitalization, and social sustainability
Maria Bäcke, Sylvi Vigmo
doaj +1 more source
Hybrid GA-SQP neural network frame for solving english language learning. [PDF]
Abbasi AZ +5 more
europepmc +1 more source
We propose the Full‐Body AI Agent, a multi‐scale collaborative framework with 7 biological‐layer agents. It unifies multi‐omics/clinical data via standardized protocols, enabling phenotype‐guided closed‐loop reasoning, quantitative evaluation, and LLM safeguards, with promising applications in tumor metastasis modeling and precision drug development ...
Aoqi Wang +11 more
wiley +1 more source
Language Learning as a Non-Pharmacological Intervention in Older Adults with (Past) Depression. [PDF]
Brouwer J +4 more
europepmc +1 more source
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
Navigating sign language learning: insights from hearing parents of deaf and hard-of-hearing children. [PDF]
Ritmeester J +5 more
europepmc +1 more source

