Results 181 to 190 of about 5,626,748 (339)
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
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 +8 more
wiley +1 more source
Injured or cut peripheral nerves can be surgically rerouted to reinnervate new muscle targets. This study demonstrates reinnervated muscles exhibit enhanced separability between individual motor unit signals, which can simplify signal recording and decomposition. These findings highlight the potential of reinnervated muscle to serve as a key biological
Kiara N Quinn +11 more
wiley +1 more source
Efficient Screening of Organic Singlet Fission Molecules Using Graph Neural Networks
A high‐throughput screening framework based on graph neural networks (GNNs) and multi‐level validation facilitates the identification of singlet fission (SF) candidates. By efficiently predicting excitation energies across 20 million molecules, and integrating TDDFT calculations, synthetic accessibility assessments, and GW+BSE calculations, this ...
Li Fu +5 more
wiley +1 more source
Improving EMS access: Strategic helicopter infrastructure and 3D virtual training for enhanced ground-air ambulance coordination. [PDF]
Jung S, Qin X, Lim S.
europepmc +1 more source
Virtual training of rheumatoid arthritis peer coaches in motivational interviewing skills and concepts of cardiovascular disease. [PDF]
Brown M +10 more
europepmc +1 more source
This study proposes a piezoelectric interface modification strategy to amplify the piezoionic effect. The piezoelectric interface generates an intrinsic electric field, which not only drives rapid ion migration but also concentrates polarized ions on the interface. The flexible sensor delivers superior performance, such as a quick response rate, strong
Yanyu Chen +5 more
wiley +1 more source
The Effect of Virtual Training Course of Brain Diseases and Pathologies CT Scan Interpretation on the Rate of Accurate Diagnosis by Medical Students. [PDF]
Azizkhani R +5 more
europepmc +1 more source
SPARK decodes structure‐property relationships in anion exchange membranes (AEMs) via a chemically informed dual‐channel graph attention network (DEGAT) that explicitly captures microphase separation. It outputs five‐level grades for hydroxide conductivity and alkaline stability and highlights relevant key structural units, enabling robust pre ...
Wanting Chen +6 more
wiley +1 more source

