Results 161 to 170 of about 242,227 (265)

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
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, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Dynamic emotion recognition and learning motivation prediction in Chinese second language acquisition under cultural differences: a study based on ED-CM-MP model. [PDF]

Front Psychol
Hao J.
europepmc   +1 more source

INB3P: A Multi‐Modal and Interpretable Co‐Attention Framework Integrating Property‐Aware Explanations and Memory‐Bank Contrastive Fusion for Blood–Brain Barrier Penetrating Peptide Discovery

Advanced Science, EarlyView.
INB3P is a multimodal framework for blood–brain barrier‐penetrating peptide prediction under extreme data scarcity and class imbalance. By combining physicochemical‐guided augmentation, sequence–structure co‐attention, and imbalance‐aware optimization, it improves predictive performance and interpretability.
Jingwei Lv, Qianyang Wu, Jian Liu, Binlu Yang, Yuanhao Li, Junlin Xu, Yajie Meng, Leyi Wei, Zilong Zhang, Quan Zou, Xiulai Li, Feifei Cui   +11 more
wiley   +1 more source

Conceptual framework of applying CoI-based blended learning approach to enhance students' vocabulary and vocabulary learning motivation. [PDF]

PLoS One
Chuane Q.
europepmc   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Mediating role of intrinsic learning motivation in the relationship between future time perspective and classroom disengagement among Chinese nursing students: a cross-sectional study. [PDF]

BMC Nurs
Zhao H, Qin S, Ding W, Li Z, Gao R.
europepmc   +1 more source

Spontaneous Non‐Catalyzed Molecular Reactions and Interactions in the Human Body: Biomedical Implications

Advanced Science, EarlyView.
ABSTRACT The human body functions as a natural reactor for a vast network of chemical and biological reactions and physical interactions among small molecules, proteins, cells, and numerous other components. These reactions/interactions are essential for maintaining normal physiological functions.
Yuhao Cai, Chao Zhao
wiley   +1 more source

The reasons for the decrease in learning motivation of medical students in South Iran. [PDF]

J Educ Health Promot
Kojouri J, Charkhandaz M, Hojat M.
europepmc   +1 more source

Polarization‐Enabled Piezoelectric Tellurium–Selenium (TexSe1–x) Thin Films for Memory Switching and Artificial Synaptic Functions

Advanced Science, EarlyView.
Here, we demonstrate and investigate polarization‐enabled electromechanical responses in cryogenic physical vapor deposition (cryogenic PVD)‐deposited TexSe1‐x thin films, a tellurium‐based compound with a tunable bandgap and enhanced non‐centrosymmetry.
Chia‐Chen Chung, Mayur Chaudhary, Chia‐Hung Lo, Po‐Chien Lai, You‐Jie Lin, Ruei‐Hong Cyu, Yu‐Ren Peng, Bing‐Ni Gu, Zhao‐Feng Lou, Quynh Thi Le, Yi‐Jen Yu, Yen‐Fu Lin, Min‐Hung Lee, Ying‐Hao Chu, Chang‐Hong Shen, Der‐Hsien Lien, Yu‐Lun Chueh   +16 more
wiley   +1 more source