Results 221 to 230 of about 3,568,884 (345)
This article explores what drives households to adopt solar PV and battery systems in South East Queensland. Using hybrid discrete choice experiments, it reveals distinct adopter profiles and highlights cost, system size, and energy independence as key motivators.
Mohammad Alipour +3 more
wiley +1 more source
Gender Differences in Maize Farmers Adoption of Climate Change Adaptation Strategies in Ondo State
Olaoye Babatunde Mudathir
openalex +1 more source
CD207+ dendritic cells (DCs) drive emphysema by promoting CD8⁺ T cell cytotoxicity via Birbeck granule‐dependent MHC‐I antigen presentation. This DC subset is expanded by cigarette smoke‐induced oxidative stress, which triggers granulocyte‐macrophage colony‐stimulating factor (GM‐CSF) release from airway epithelium.
Shurui Xuan +10 more
wiley +1 more source
Racial and gender differences in missing children’s recovery chances
Arnout van de Rijt +3 more
openalex +2 more sources
Rheumatoid arthritis is a disease characterized by joint inflammation. Approximately 50% of patients show insufficient response to traditional synthetic disease‐modifying antirheumatic drugs. This study aims to elucidate differential molecular profiles of the mechanisms underlying drug responses through multi‐omics strategy.
Congcong Jian +26 more
wiley +1 more source
In this study, we find CD55+ neutrophils show activated NETosis within bone marrow, induce BMSC senescence and osteogenesis inhibition, finally leading to bone aging initiation. Mechanistically, ROS synergizes with the CD55‐driven HIF1α‐PADI4 pathway to promote NETosis.
Yutong Guo +6 more
wiley +1 more source
Gender Differences in the Effects of Exercise Interventions on Alzheimer's Disease. [PDF]
Dong Y +5 more
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
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

