Results 131 to 140 of about 14,015 (245)
Modelling dataset bias in machine-learned theories of economic decision-making. [PDF]
Thomas T +6 more
europepmc +1 more source
A real‐time, high‐definition hyperspectral endoscopy is enabled by developing a spatial‐temporal spectral encoding approach based on low‐frequency stochastic filters combined with an encoding‐guided attention network. It provides hyperspectral image of in vivo tissue with fine superficial features, enables visualization of rapid and subtle ...
Xiaowei Liu +11 more
wiley +1 more source
Accelerating perennial crop improvement via multi-omics-based predictive breeding. [PDF]
Robinson H +2 more
europepmc +1 more source
Harnessing Wolbachia cytoplasmic incompatibility alleles for confined gene drive: A modeling study. [PDF]
Li J, Champer J.
europepmc +1 more source
This study repurposes mitochondrial DNA mutations as endogenous barcodes for lineage tracing in human pluripotent stem cell‐derived organoids. Integrated with transcriptomic and spatial data, it reveals NOTCH‐mediated stromal‐progenitor crosstalk orchestrates clonal dynamics and spatial zonation during early hematopoietic development, offering a non ...
Yan Xue +17 more
wiley +1 more source
Reliability modeling framework of satellite constellation based on three-parameter interval grey number Lz transformation. [PDF]
Shao R, You W, Nie Y.
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
Evaluating the ability of large Language models to predict human social decisions. [PDF]
Xiao F, Wang XTX.
europepmc +1 more source
Review of Multi-Criteria Decision-Making Methods in Finance Using Explainable Artificial Intelligence. [PDF]
Černevičienė J, Kabašinskas A.
europepmc +1 more source
This study constructed the first D‐amino acid antimicrobial peptide dataset and developed an AI model for efficient screening of substitution sites, with 80% of candidate peptides showing enhanced activity. The lead peptide dR2‐1 demonstrated potent antimicrobial activity in vitro and in vivo, high stability, and low toxicity.
Yinuo Zhao +14 more
wiley +1 more source

