This review explores the convergence of artificial intelligence technologies in modeling drug–drug and drug–target interactions. By evaluating advanced feature engineering, architectural innovations, and learning paradigms reveals shared evolutionary trends and critical challenges, such as cold‐start settings and shortcut learning.
Xin Sun, Tong Wang
wiley +1 more source
Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review
Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh +8 more
wiley +1 more source
Rare‐earth catalysts regulate lithium–sulfur battery chemistry through f‐orbital–mediated interactions, enabling simultaneous polysulfide adsorption and catalytic conversion on conductive carbon hosts. This synergistic control suppresses the shuttle effect, accelerates redox kinetics, and guides stable Li2S nucleation, providing a mechanistic framework
Fan Wang +5 more
wiley +1 more source
Attitudes Toward Mathematics and Mathematics Teaching Anxiety: The Role of Mathematical Literacy, Self-Efficacy, and Mathematical Thinking. [PDF]
Uras MC +3 more
europepmc +1 more source
Mathematical creative thinking ability is one of the important comprehensible needs of students’ competency in mathematical learning. The issue of mathematical creative thinking has seemed to become a communally issue and argued to be promoted by ...
Moma, La +3 more
core
Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram +4 more
wiley +1 more source
Beyond personality traits: a motivation-self-regulation model of mathematical problem-solving through self-efficacy and mathematical thinking. [PDF]
Wang J, Guo L.
europepmc +1 more source
Refining an understanding of computational thinking
This paper identifies aspects of computational thinking and proposes a description that meets the needs of teachers and academics reflecting upon the developing UK curriculum.
Woollard, John, Selby, Cynthia
core
Femtosecond‐Laser‐Induced Physical Unclonable Random Maze Structure for Storage‐Free Encryption
Femtosecond‐laser‐induced gold random maze structures serve as multimodal physical unclonable functions for storage‐free encryption. Their stochastic optical, electrical, and Raman responses are generated by plasmon‐assisted Marangoni formation and converted into AES‐compatible keys without permanent secret‐key storage, offering a portable route toward
Shiru Jiang +6 more
wiley +1 more source
Informal Mathematical Thinking: Invariance of the Role of Domain-General and Domain-Specific Precursors in Spain and Chile. [PDF]
Cerda G +4 more
europepmc +1 more source

