Results 301 to 310 of about 6,285,799 (375)
Enhanced prediction and optimization of thin metal film optical properties using optimized ensemble learning models. [PDF]
Thomas K +4 more
europepmc +1 more source
An innovative molecular spatial‐positioning shimming strategy is developed to optimize the electrical properties of poly(vinylidene fluoride) (PVDF). By intercalating polyethylene wax (PE wax) short‐chain molecules into PVDF's free volume, the film achieves a significantly enhanced energy density of 32.67 J cm−3.
Ziyue Wang, Jiyang Xie, Wanbiao Hu
wiley +1 more source
CACLENS: A Multitask Deep Learning System for Enzyme Discovery
CACLENS, a multimodal and multi‐task deep learning framework integrating cross‐attention, contrastive learning, and customized gate control, enables reaction type classification, EC number prediction, and reaction feasibility assessment. CACLENS accelerates functional enzyme discovery and identifies efficient Zearalenone (ZEN)‐degrading enzymes.
Xilong Yi +5 more
wiley +1 more source
Machine learning models diagnose oral squamous cell carcinoma based on cross-cohort oral microbial signatures. [PDF]
Wang M, Sun Y, Gong W.
europepmc +1 more source
RegGAIN is a novel and powerful deep learning framework for inferring gene regulatory networks (GRNs) from single‐cell RNA sequencing data. By integrating self‐supervised contrastive learning with dual‐role gene representations, it consistently outperforms existing methods in both accuracy and robustness.
Qiyuan Guan +9 more
wiley +1 more source
All together now: Random Forests analysis reveals the joint impact of multiple statistical regularities on eye-movements during reading. [PDF]
Kimchi I, Siegelman N.
europepmc +1 more source
Biomechanics‐Driven 3D Architecture Inference from Histology Using CellSqueeze3D
CellSqueeze3D reconstructs 3D cellular architecture from standard 2D histology images using biomechanical constraints and optimization. Validated on clinical datasets, it enables accurate tissue phenotyping, predicts gene mutations, and reveals significant correlations between nuclear‐cytoplasmic ratio entropy and tumor progression.
Yan Kong, Hui Lu
wiley +1 more source

