Neural specialization of print processing in second language learning: A longitudinal ERP study of Chinese children learning English. [PDF]
Huang X +5 more
europepmc +1 more source
By integrating single‐nuclei and spatial transcriptomics, this study presents a stereoscopic landscape of maize leaf to Puccinia polysora infection. Epidermal and mesophyll cells initiate primary defenses via RLPs/RLKs and jasmonic acid signaling. Cell‐cell communication analyses further reveal the underlying the dynamics of the underlying immune ...
Qiongqiong Wang +16 more
wiley +1 more source
Social interaction shapes and boosts second language learning: virtual reality can show us how. [PDF]
Zappa A, Slater M, Rodriguez-Fornells A.
europepmc +1 more source
Dietary habits play a key role in chronic diseases, and higher annual consumption of fruit and vegetable may lower risk of dementia. Artificial intelligence predicts the lipid‐like compound α‐Amyrin (αA) from plants with edible peels as a drug candidate against Alzheimer's disease.
Shu‐Qin Cao +36 more
wiley +1 more source
Emotion regulation and perceptions of academic stress as key predictors of academic motivation in second language learning. [PDF]
Liang H, Mao X.
europepmc +1 more source
Plasticity in second language learning: The case of Mandarin tones. [PDF]
Wang T, Potter CE, Saffran JR.
europepmc +1 more source
MGM as a Large‐Scale Pretrained Foundation Model for Microbiome Analyses in Diverse Contexts
We present the Microbial General Model (MGM), a transformer‐based foundation model pretrained on over 260,000 microbiome samples. MGM learns contextualized microbial representations via self‐supervised language modeling, enabling robust transfer learning, cross‐regional generalization, keystone taxa discovery, and prompt‐guided generation of realistic,
Haohong Zhang +5 more
wiley +1 more source
Personality, Intelligence, and Second Language Learning Success: A Systematic Review. [PDF]
Xu W.
europepmc +1 more source
Evaluating the Utilities of Foundation Models in Single‐Cell Data Analysis
This study delivers the first systematic, task‐level evaluation of single‐cell foundation models across eight core analytical tasks. By benchmarking 10 leading models with the scEval framework, it reveals where foundation models truly add value, where task‐specific methods still dominate, and provides concrete, reproducible guidelines to steer the next
Tianyu Liu +4 more
wiley +1 more source
A mixed-methods approach to the psychological predictors of boredom in second language learning: mindfulness, grit, and self-regulation. [PDF]
Lyu J.
europepmc +1 more source

