Results 151 to 160 of about 173,418 (245)
Forecasting under-five stunting in Ethiopia using classical and machine learning time series models. [PDF]
Gessese RT +7 more
europepmc +1 more source
This work develops dynamically softening polyacrylamide hydrogels for time‐resolved imaging during continuous mechanical transitions. The study revealed that mechanotransduction is biphasic; YAP/TAZ inactivation is driven by early loss of the nucleocytoskeletal continuum connecting subnuclear adhesions, F‐actin, and the nuclear envelope, coupled with ...
Alessandro Gandin +12 more
wiley +1 more source
A muscle‐bone endocrine pathway in aging is revealed in which extracellular vesicles released from atrophic skeletal muscle (Aged‐SKM‐EVs) inhibit bone formation. These EVs deliver miR‐125a‐5p to osteoblasts, thereby suppressing the SIRT7‐Sp7 signaling axis and osteogenic differentiation.
Xiaoyan Shao +22 more
wiley +1 more source
A novel intrusion detection framework using hybrid deep learning to detect IIoT cloud environments attacks. [PDF]
Chen S, Feng X.
europepmc +1 more source
We uncover a large variety of putative inhibitory ligand‐gated ion channels (LGICs) in the phylum Cnidaria, the sister group to all bilaterian animals. Phylogenetic analysis suggests a complex evolutionary history of inhibitory LGICs with diverse neurotransmitter ligands.
Abhilasha Ojha +13 more
wiley +1 more source
Machine learning-assisted abstract screening on learning analytics: a step-by-step tutorial. [PDF]
Xu Z +4 more
europepmc +1 more source
This study established an RT‐MSCs‐based therapeutic approach for scleroderma in mice. RT‐MSCs attenuated fibrosis by regulating mitochondrial autophagy and restored gut microbiota homeostasis. Metabolomic analyses confirmed recovery of key metabolites, and RT‐MSCs demonstrated favorable lesion targeting and safety profiles.
Xue Xia +5 more
wiley +1 more source
SDXL model-based optimization for interior design: Data-driven and deep learning methods. [PDF]
Zhou X, Kim S, Chen Y.
europepmc +1 more source
De Novo Multi‐Mechanism Antimicrobial Peptide Design via Multimodal Deep Learning
Current AI‐driven peptide discovery often overlooks complex structural data. This study presents M3‐CAD, a generative pipeline that leverages 3D voxel coloring and a massive database of over 12 000 peptides to capture nuanced physicochemical contexts.
Xiaojuan Li +23 more
wiley +1 more source
A Systematic Review of Microsimulation Models in Cardiometabolic Disease: Model Calibration and Validation. [PDF]
Yang D, Cao Z, Byun J, Ban JW, Kim DD.
europepmc +1 more source

