Results 161 to 170 of about 8,080,419 (296)
QLGAN: a quantum-lineage graph attention network for temporal knowledge graph entity alignment
Temporal entity alignment, the task of identifying equivalent entities across evolving knowledge graphs (KGs), is a critical yet challenging problem. Existing methods often struggle to holistically model the complex interplay between structural topology ...
Jia Li, Yuxi Ma, Lingzhong Meng
doaj +1 more source
A wearable electrochemical microneedle patch integrates Prussian Blue redox transduction with molecularly imprinted polymer recognition for reagent‐free sampling and detection of thrombo‐inflammatory biomarkers in dermal interstitial fluid. The platform tracks thrombin and inflammatory cytokines with sensitive in vitro, ex vivo, and in vivo performance,
Mahmoud Ayman Saleh +11 more
wiley +1 more source
The energetic offset between the donor and the acceptor components in organic photoactive layers is central to the tradeoff between photovoltage and photocurrent losses. This Perspective covers the most important issues surrounding this topic in non‐fullerene acceptor blends, from the difficulty of accurately determining state energies and driving ...
Dieter Neher, Manasi Pranav
wiley +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Water harvesting, radiative cooling, and interfacial solar evaporation are fundamentally governed by coupled heat, mass, and light transport processes. These processes are mediated by pore architecture, including pore size, connectivity, and hierarchical organization.
Dejan J. Trajkovski +5 more
wiley +1 more source
Artifacts are the main cause of degradation in CT image quality and diagnostic accuracy. Because of the complex texture of CT images, it is a challenging task to automatically detect artifacts from limited image samples.
Zhenning Wu, Yiwen Liu, Tao Wen
core +1 more source
Using a bottom‐up approach, we engineered a human neuromuscular microchip to investigate distinct adaptive responses to neural stimulation and metabolic stress. Further integration of endothelial cells revealed their critical role in modulating neuromuscular excitability, establishing a comprehensive neurovascular‐muscular model.
Jinchul Ahn +17 more
wiley +1 more source
A green, external‐catalyst‐free route grows defect‐free covalent organic framework membranes directly on ion‐exchange supports using an alternating electric field and in situ‐generated acid. Through a self‐regulating, self‐healing mechanism, the membranes achieve near‐complete, ultra‐fast separation of monovalent ions such as Li+, Na+, and K+, offering
Mohammad Hossein Jandaghian +8 more
wiley +1 more source
Graph Attention Network with High-Order Neighbor Information Propagation for Social Recommendation
In recommender systems, graph neural networks (GNN) can integrate interactions between users and items with their attributes, which makes GNN-based methods more powerful.
Wang, L +5 more
core +1 more source
Environmental Synthesis Radar (ESR) evaluates the environmental impact of (early‐stage) multi‐step chemical syntheses, providing a holistic view by using 18 midpoint impact categories. Unlike conventional life‐cycle assessment (LCA) approaches, ESR reveals three complementary metrics: overall impact Vtotal, environmental hotspots VEF, and critical ...
Laura Plein +8 more
wiley +1 more source

