Heterogeneity in mathematics: Investigating cognitive profiles and reading comorbidities among children. [PDF]
Hasson S, Ashkenazi S.
europepmc +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
How Does Teacher Certification Promote Student Achievement in Science, Reading, and Math? A Chain-Mediated Model of Teachers' Sense of Efficacy and Pedagogical Innovation. [PDF]
Guo Y, Tian G.
europepmc +1 more source
Advanced Experiment Design Strategies for Drug Development
Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang +3 more
wiley +1 more source
Complexity of parental number talk predicts preschoolers' gains in cardinal knowledge. [PDF]
Geary DC +5 more
europepmc +1 more source
This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan +3 more
wiley +1 more source
Uncovering the prevalence, risk factors and consequences of school bullying in China's rural primary schools. [PDF]
Liu W +5 more
europepmc +1 more source
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath +4 more
wiley +1 more source
Understanding Motivation in Early Childhood: Disentangling the Links Among Curiosity, Mindset, and Goals. [PDF]
Hutchins N, Jirout J.
europepmc +1 more source

