Results 101 to 110 of about 33,045 (261)
Performance–Complexity Trade‐Offs in Battery Lifetime Prediction with Task‐Aware Transformers
FAST‐BatPro integrates convolutional feature extraction, flash Attention, and sparse attention for efficient battery lifetime prediction. Using limited early‐cycle data across multiple chemistries and operating conditions, it achieves robust accuracy while reducing inference latency, computational cost, and energy consumption.
Jingyuan Zhao +9 more
wiley +1 more source
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
Smart Nanotechnologies for Multimodal Neuromodulation and Brain Interfacing
Recent advances in smart nanotechnologies are expanding the toolbox for brain interfacing, from wireless neuromodulation and high‐resolution sensing to targeted delivery within the central nervous system. By combining responsive nanomaterials with bioinspired design, these platforms enable multimodal interactions with neurons and glia, while also ...
Tommaso Curiale +6 more
wiley +1 more source
CeO2‐x/Pt single‐atom nano‐island is constructed via low‐temperature reduction, featuring abundant oxygen vacancies and an island–sea structure. It delivers outstanding multi‐enzyme‐mimetic activity and ROS‐scavenging efficiency. Density functional theory reveals optimized electronic structures and reaction pathways.
Yang Zhu +12 more
wiley +1 more source
This study proposed a unified sequence‐based framework for protein binding site prediction, which adopted a tri‐track semantic multi‐source feature fusion strategy to effectively capture diverse macromolecular interaction sites and further improved the accuracy of antibody‐antigen interaction prediction.
Dongliang Hou +8 more
wiley +1 more source
This work presents a CRISPR‐based, ultrasensitive multiplex protein detection array capable of simultaneously analyzing six plasma biomarkers associated with Alzheimer's disease (AD). By integrating antibody‐mediated signal transduction, recombinase polymerase amplification, and spatially encoded CRISPR‐Cas12a, the system achieves detection sensitivity
Liding Zhang +9 more
wiley +1 more source
This study presents a surfaceome‐reprogramming strategy for mutation‐independent lung cancer therapy by repurposing dexamethasone to prime mesenchymal stem cell‐derived nanovesicles. The engineered vesicles leverage multi‐valent interactions mediated by upregulated adhesion proteins, EPHA2, and NOTCH3.
Geunhye Kim +8 more
wiley +1 more source
How Proton Incorporation Reshapes Lattice Dynamics In BaSnO3‐Type Proton Conductors
Yttrium‐doped BaSnO3 exhibits isotope‐dependent changes in its low‐energy vibrational density of states upon hydration. Comparison of dry, H2O‐, and D2O‐treated samples re‐veals mass‐dependent phonon renormalization linked to proton dynamics near oxygen va‐cancies, providing experimental insight into hydrogen‐coupled lattice excitations in proton ...
Artur Braun +9 more
wiley +1 more source
Based on the researchers’ observation, it was found that most of the students get difficult in using direct and indirect speech of statement. They get difficult to change tenses, pronoun and adverb of time from direct into indirect speech.
Mohd. Rafi Riyawi, Deby Alwiyah
doaj

