Results 181 to 190 of about 87,658 (293)
Sclerostin loop2‐ApoER2 interaction in macrophages is required by sclerostin to suppress NF‐κB nuclear translocation and phosphorylation, to promote macrophage conversion into anti‐inflammatory subtypes in atherosclerotic aortas, as well as to prevent atherosclerosis and aortic aneurysm development in ApoE−/− mice. Abstract Therapeutic antibody against
Luyao Wang +27 more
wiley +1 more source
The association between exposure to food marketing and dietary intake among youth in six countries. [PDF]
Vergeer L +7 more
europepmc +1 more source
This target trial emulation in solid organ transplant candidates with obesity and type 2 diabetes evaluates whether pre‐transplant dual therapy with GLP‐1 receptor agonists plus SGLT2 inhibitors is associated with post‐transplant mortality and kidney graft outcomes compared with monotherapy or usual care, using multinational electronic health records ...
Yu‐Nan Huang +7 more
wiley +1 more source
Association between exposure to digital alcohol marketing and alcohol use: a systematic review and meta-analysis. [PDF]
Donaldson SI +6 more
europepmc +1 more source
Nanozymes Integrated Biochips Toward Smart Detection System
This review systematically outlines the integration of nanozymes, biochips, and artificial intelligence (AI) for intelligent biosensing. It details how their convergence enhances signal amplification, enables portable detection, and improves data interpretation.
Dongyu Chen +10 more
wiley +1 more source
User snowball effect: word-of-mouth communication mechanism on console games. [PDF]
Huang W, Dai L, Wu G, Liu J, Jiang A.
europepmc +1 more source
Nanozymes for Energy and Environmental Sustainability
At present, the widely used nanozymes are oxidoreductase and hydrolase, which have proved to have great application prospects in energy and environment. ABSTRACT Nanozymes have shown remarkable promise in addressing pressing challenges in energy and environmental sustainability.
Xiaoqi Li, Jinxing Chen, Shaojun Dong
wiley +1 more source
Predictive Modeling of Tourist Satisfaction Based on Service Marketing Mix Elements Using Machine Learning Techniques. [PDF]
Hoque MN, Jannat SN, Arafat Y, Miah MM.
europepmc +1 more source

