Results 211 to 220 of about 2,061,867 (378)
A Canine Musculoskeletal Robot for Investigating Biomechanical Functions During Locomotion
In this study, a dog limb musculoskeletal robot was developed using thin McKibben artificial muscles to investigate the effects of the dog's musculoskeletal structure on walking. Walking experiments were conducted in both indoor and outdoor environments, suggesting that the flexible structure of the dog's shoulders contributes to an increase in stroke ...
Hana Ito +6 more
wiley +1 more source
Secondary Asphyxiating Thoracic Dysplasia Due to Multiple Chondromas: A Novel Surgical Report. [PDF]
Wang W, Vishnu R, Long W, Liu Y.
europepmc +1 more source
Genome‐Wide by Lifetime Environment Interaction Studies of Brain Imaging Phenotypes
This study explores genome‐wide by lifetime environment interactions on brain imaging phenotypes. Gene‐environment interactions explain more phenotypic variance than main effects, pinpoint regulatory variants, and reveal exposure‐specific biological pathways.
Sijia Wang +51 more
wiley +1 more source
Aeolian accumulation rate within the kettle holes on Skeiðarársandur (S Iceland) under climate warming conditions. [PDF]
Szafraniec JE.
europepmc +1 more source
In macrophage‐myofibroblast transition, upregulated NNMT depletes S‐Adenosylmethionine (SAM) and nicotinamide adenine dinucleotide(NAD+), thereby triggering epigenetic reprogramming via Histone H3 Lysine 27 acetylation (H3K27ac) accumulation at the promoter region of master transcription factor Prrx1.
Xiwen Dong +11 more
wiley +1 more source
Effect and acceptability of different exercise modes on adult patients with clinically diagnosed depression: a network meta-analysis. [PDF]
Zhang S, Yang J, Chen J, Wang J, Liu G.
europepmc +1 more source
Multi‐Site Transfer Classification of Major Depressive Disorder: An fMRI Study in 3335 Subjects
The study proposes graph convolution network with sparse pooling to learn the hierarchical features of brain graph for MDD classification. Experiment is done on multi‐site fMRI samples (3335 subjects, the largest functional dataset of MDD to date) and transfer learning is applied, achieving an average accuracy of 70.14%.
Jianpo Su +14 more
wiley +1 more source

