AI performance assessment in blended learning: mechanisms and effects on students' continuous learning motivation. [PDF]
Front PsycholJi H, Suo L, Chen H.
europepmc +1 more source
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
Advanced Science, EarlyView.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
The mediating role of English learning motivation between socioeconomic status and pragmatic awareness. [PDF]
Front PsycholHui X, Chen Y.
europepmc +1 more source
Advanced Science, EarlyView.This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo +6 more
wiley +1 more source
The impact of multiple supports on university students' physical education learning motivation: a dual analysis based on SEM and fsQCA. [PDF]
Front PsycholHao H, Zhu Q, Feng C.
europepmc +1 more source
Advanced Science, EarlyView.ABSTRACT Extracellular vesicles (EVs) are nanoscale mediators of intercellular communication with diverse molecular cargoes that reflect their cell of origin. Advances in isolation, detection, and single‐particle analytics have revealed increasing molecular and functional heterogeneity, while exposing limitations in how EV identity and activity are ...
David J. Lundy +8 more
wiley +1 more source
Exploring psychological dimensions of augmented reality in education: a study on learning motivation and achievement in museums. [PDF]
Front PsycholCheng A, Zhang W, Feng A, Wu Y, Li W.
europepmc +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Advanced Science, EarlyView.Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Relationships between learning motivation, study time, and regular test scores elucidated using self-determination theory-a study of first-year students in their first semester. [PDF]
J Phys Ther SciYoshizawa T +5 more
europepmc +1 more source
Advanced Science, EarlyView.This cross‐species study reveals that pathological hyperactivity of BNST neurons in depressive states disrupts inhibitory period and isolated spikes in the BNST‐NAc circuit. DBS achieves its antidepressant effects by precisely restoring network inhibitory periods and high‐fidelity signal transmission.
Xin Lv +12 more
wiley +1 more source