International Journal of Applied Linguistics, EarlyView.ABSTRACT This study investigates how the learner‐related factors of language dominance, encompassing language history, proficiency, use, and attitude, modulate congruency effects in multi‐word unit (MWU) processing among early bilinguals. Seventy Cantonese–Putonghua bilinguals completed lexical decision tasks measuring reaction time and accuracy for ...
Mingjia Cai, Yuan Liang
wiley +1 more source
AI-driven enhancements in rare disease diagnosis and support system optimization. [PDF]
Intractable Rare Dis ResWang X, He D, Jin C.
europepmc +1 more source
Learning Styles, Engagement and Anxiety in AI‐Mediated Writing: A Multimodal Feedback Study
International Journal of Applied Linguistics, EarlyView.ABSTRACT Artificial intelligence (AI) tools now permeate English academic writing. However, evidence on how feedback modalities align with student differences and with psychological mechanisms remains limited. Prior work often reduced learning styles to simple matches with delivery modes and treated learning engagement and writing anxiety as peripheral.
Yi Ren +3 more
wiley +1 more source
A Soft Sensor Modeling Method Based on Local Migration Modeling Framework. [PDF]
Sensors (Basel)Wang B, Huang S, Cai H.
europepmc +1 more source
Alternative Approaches for Estimating Highest‐Density Regions
International Statistical Review, EarlyView.Summary Among the variety of statistical intervals, highest‐density regions (HDRs) stand out for their ability to effectively summarise a distribution or sample, unveiling its distinctive and salient features. An HDR represents the minimum size set that satisfies a certain probability coverage, and current methods for their computation require ...
Nina Deliu, Brunero Liseo
wiley +1 more source
Cost-efficient variable-fidelity machine learning for globalized optimization of microwave structures. [PDF]
Sci RepKoziel S +2 more
europepmc +1 more source
A Comparative Review of Specification Tests for Diffusion Models
International Statistical Review, EarlyView.Summary Diffusion models play an essential role in modelling continuous‐time stochastic processes in the financial field. Therefore, several proposals have been developed in the last decades to test the specification of stochastic differential equations.
A. López‐Pérez +3 more
wiley +1 more source
Globalized parameter tuning of microwave passives by dimensionality-reduced surrogates and multi-fidelity simulations. [PDF]
Sci RepKoziel S, Pietrenko-Dabrowska A.
europepmc +1 more source
High-dimensional biomarker identification for interpretable disease prediction via machine learning models. [PDF]
BioinformaticsDai Y, Wu D, Carroll I, Zou F, Zou B.
europepmc +1 more source
Exploring unsupervised feature extraction algorithms: tackling high dimensionality in small datasets. [PDF]
Sci RepNiu H +4 more
europepmc +1 more source