Results 251 to 260 of about 52,504 (341)
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
Assessing and enhancing the circularity and sustainability of emergency hospital shelters. [PDF]
Hendriks E +3 more
europepmc +1 more source
Relief Supply Chain Management for Disasters: Humanitarian Aid and Emergency Logistics
openalex +2 more sources
This study identifies elevated taurocholic acid (TCA) in Major Depressive Disorder patients. Gut microbiome‐associated TCA impairs hippocampal neurogenesis, triggers microglia activation, and elicits depression‐like behavior in mice via the S1PR2. In patients, functional neuroimaging reveals that serum TCA levels correlate with altered functional ...
Xiaoying Cai +12 more
wiley +1 more source
Three-learning strategy particle swarm optimization for air-ground collaborative logistics transportation scheduling problem with pickup and delivery considering customer priorities. [PDF]
Qi Y, Jiang H, Huang G, Wang F, Ye L.
europepmc +1 more source
Researchers have developed a patient‐derived organ‐on‐a‐chip model for pancreatic cancer by integrating cancer cells with supportive stromal and immune cells inside a microfluidic device. This system mimics the tumor microenvironment, enabling personalized testing of chemotherapy and immunotherapy, and offering new insights into how targeting ...
Darbaz Adnan +11 more
wiley +1 more source
A Systematic Review of Drone Customization and Application in Public Health Innovation. [PDF]
Bhattacharya S +12 more
europepmc +1 more source
Ecosystem‐Centered Robot Design: Toward Ecoresorbable Sustainability Robots (ESRs)
Robots exploring natural ecosystems can support monitoring and conservation, but must adopt ecosystem‐centered design to avoid pollution, waste, and damage. This review proposes guidelines for co‐designing ecoresorbable sustainability robots (ESRs), uniting materials, robotics, and ecological contexts in a single framework.
Tülin Yılmaz Nayır +4 more
wiley +1 more source

