Untamed: Unconstrained Tensor Decomposition and Graph Node Embedding for Cortical Parcellation. [PDF]
Liu Y, Li J, Wisnowski JL, Leahy RM.
europepmc +1 more source
Iron‐Mediated Release of Aged Dissolved Organic Carbon From Waterlogged Peatland Under Warming
This study conducts a five‐year in situ warming experiment in high‐altitude peatlands to examine dissolved organic carbon (DOC) release. The study shows that warming promotes the release of plant‐derived modern DOC in drained peatlands, but amplifies aquatic export of century‐old DOC from waterlogged peatlands via Fe‐mediated DOC mobilization—a ...
Guohua Dai +18 more
wiley +1 more source
Multitask optimization and convergence stability with hierarchical feature learning for self guided optimization. [PDF]
Mahmood K +5 more
europepmc +1 more source
SERS Facemask for Rapid and Portable Sensing Mycobacterium Tuberculosis Antigens for TB Screening
Our study introduced an Au─Ag embedded covalent organic framework (U@COF) ‐mediated facemask for sensing TB antigen ESAT‐6/CFP‐10 complex in clinical droplet samples toward TB screening. Practical analysis of clinical samples demonstrated the availability of our facemask, which is capable of identifying the TB subjects (N = 17) from healthy candidates (
Lingzhi Chen +20 more
wiley +1 more source
Graph neural network-driven text classification for fire-door defect inspection in pre-completion construction. [PDF]
Wang S.
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
Graph-based vision transformer with sparsity for training on small datasets from scratch. [PDF]
Li P, Huang L, Li J, Yan H, Shan D.
europepmc +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
Integrated spatio-temporal modeling with hybrid graph convolutions and the graph fourier neural operator for traffic prediction. [PDF]
Hosseini SM +2 more
europepmc +1 more source

