The relationship between Chinese medical students' learning motivation and learning engagement: a network analysis. [PDF]
Wang D +4 more
europepmc +1 more source
Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan +8 more
wiley +1 more source
HoloPatient-based simulation education to improve nursing students' learning motivation and attitude: a mixed methods study. [PDF]
Kang Y, Lee I.
europepmc +1 more source
ANKS1B in the nucleus accumbens plays a critical role in the transition from controlled to escalated cocaine intake. Mechanistically, ANKS1B interacts with CBP to epigenetically suppress FoxO3 through H3K27 acetylation. The ANKS1B‐CBP‐FoxO3 signaling cascade presents a novel theraputic target for the treatment of cocaine addiction.
Liping Yang +15 more
wiley +1 more source
Meaning in life, positive cognition, and learning motivation: A mediational analysis among Chinese college students. [PDF]
Liu SH +7 more
europepmc +1 more source
Personalized Network‐Guided Neuromodulation Enhances Human Working Memory
A personalized neuromodulation framework combining individualized functional brain network targeting with real‐time neural decoding is introduced. Using concurrent TMS–fMRI, participant‐specific stimulation targets and optimal frequencies are identified. Only optimal‐frequency stimulation improves working memory across sessions.
Ahsan Khan +13 more
wiley +1 more source
The effect of ARCS motivational model-based education on nursing students' communication skills, learning motivation, and self-efficacy: a mixed-methods randomized controlled intervention study. [PDF]
Kavak HK, Kazanç Ş.
europepmc +1 more source
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
The influence of childhood socioeconomic status on academic engagement among adolescents: the mediating role of internalization of learning motivation and learning burnout. [PDF]
Zhong S, Yuan G, Gu Y, Liu C.
europepmc +1 more source
Graphical abstract illustrating the transition from global biodiversity ambition to on‐the‐ground implementation of the Kunming–Montreal Global Biodiversity Framework after COP16, highlighting the roles of governments, non‐state actors, scientific knowledge systems, and resource mobilization in achieving transformative biodiversity outcomes.
Susan Enechojo Ogbe +3 more
wiley +1 more source

