Results 171 to 180 of about 12,612 (291)
Optimized machine learning mechanism for big data healthcare system to predict disease risk factor. [PDF]
Thatha VN +7 more
europepmc +1 more source
Microorganisms colonizing photovoltaic surfaces in the Atacama desert form biofilms that enhance particle adhesion and reduce energy yield. This study identifies UV‐resistant bacteria and carotenoid‐producing strains that interfere with PV performance.
Douglas Olivares +8 more
wiley +1 more source
Therapeutic value in the time of digital brainwaves. [PDF]
Marathe M.
europepmc +1 more source
The Rise of Data Politics: Digital China and the World. [PDF]
Liu L.
europepmc +1 more source
Akkermansia muciniphila, a next‐generation probiotic, alleviates acute graft‐versus‐host disease (aGvHD) following allogeneic hematopoietic stem cell transplantation (HSCT) by providing protective effects across multiple organs. Pre‐colonization with A.
Jeong‐Eun Han +9 more
wiley +1 more source
A Novel, Nonobvious Approach to Curb Abusive Patent Litigants [PDF]
Valentine, Zachary H.
core +1 more source
This study aims to evaluate the impact of the tryptophan‐derived metabolite indole‐3‐propionic acid (IPA) on lung development and autophagic flux. IPA alleviates hyperoxia‐induced alveolar arrest by promoting autophagosome‐lysosome fusion via inhibition of VAMP8 phosphorylation, which is suggestive of a promising therapeutic target of BPD.
Beibei Wang +14 more
wiley +1 more source
Climate change is drying out canopy plants-that could mean less water for the entire rainforest. [PDF]
McDermott A.
europepmc +1 more source
Professional Fulfillment, Burnout, and Turnover Intention Among US Dialysis Patient Care Technicians: A National Survey. [PDF]
Plantinga LC +7 more
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

