Results 81 to 90 of about 9,984 (206)
Graph cut-based segmentation for intervertebral disc in human MRI. [PDF]
Silvoster L, Kumar RMS.
europepmc +1 more source
Cigarette smoke accelerates the aging of immune cells in the lung. By combining human single‐cell sequencing, cell culture, and mouse models, the authors show that the protein GEM drives mitochondrial damage and senescence in alveolar macrophages by suppressing SIRT3.
Jin Wang +8 more
wiley +1 more source
Artificial intelligence-based approaches to augmenting and automating surgical training. [PDF]
Lin J, Cella L, Goldenberg MG, Hung AJ.
europepmc +1 more source
. ABSTRACT Neuroinflammation driven by microglial activation is a defining feature of Alzheimer's disease (AD), yet the molecular mechanisms sustaining this proinflammatory state remain unclear. Here, we identify the deubiquitinase OTUD7B as a critical regulator of microglial activation and AD pathology.
Luyao Li +15 more
wiley +1 more source
Domain knowledge embedded anti-disturbance autonomous navigation for marine vehicles. [PDF]
Zhao Y +5 more
europepmc +1 more source
High‐throughput screening led to the identification of 67 Z‐scheme heterojunctions (comprising 2D magnetic transition metal halides and non‐magnetic transition metal chalcogenides). For CrI3/MoTe2 and CrI3/WTe2, electronic structure analysis demonstrated that synergistic crystallographic point group and built‐in electric field effects generate a ...
Hongyang Ren +8 more
wiley +1 more source
DSAC-ICM: A Distributional Reinforcement Learning Framework for Path Planning in 3D Uneven Terrains. [PDF]
Zhou Y, Liu F, Liu Z, Ji X, Yin G.
europepmc +1 more source
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

