Results 191 to 200 of about 83,069 (252)
Prediction of Bandgap and Key Feature Analysis of Lead-Free Double Perovskite Oxides Based on Deep Learning. [PDF]
Wang B, Wang J.
europepmc +1 more source
Liu et al. define a systems‐level interactome of fibroadipogenic progenitor (FAP)‐mediated signaling in skeletal muscle by integrating single‐cell transcriptomics with FAP depletion‐based perturbation analysis. Functional interrogation using a conditioned media bioassay links predicted signaling to multicellular outcomes, establishing a framework to ...
Xingyu Liu +13 more
wiley +1 more source
Advanced utilization of motion decomposition and visualization technology in gymnastics education. [PDF]
Yang H, Cheng G, Cheng S.
europepmc +1 more source
We report a new thiolate‐reactive α,α‐gem‐dibromo lactam warhead that activates transcription factor Nrf2 and demonstrates anti‐inflammatory activities, which have implications in cancer, neurodegeneration, and cardiovascular diseases. RNA‐seq illuminated detailed transcriptional profiles, and chemical reactions with cysteine‐containing compounds ...
Beau R. Brummel +16 more
wiley +1 more source
Breaking the data cage in generative materials discovery. [PDF]
Lu S, Zeng XC.
europepmc +1 more source
Electroacupuncture (EA) ameliorates learning and memory function in 5×FAD mice by regulating the brain glucose metabolic network. This neuroprotective effect is closely related to enhancing neuronal energy utilization via the IGF1/IGF1R signaling pathway.
Shengxiang Liang +12 more
wiley +1 more source
Delay-Induced Complexity and Chaotic Dynamics in a Network Model of Information Spreading. [PDF]
Martsenyuk V, Gancarczyk T.
europepmc +1 more source
This study investigates how the internal structure of fiber‐reinforced ceramic composites affects their resistance to damage. By combining 3D X‐ray imaging with acoustic emission monitoring during mechanical testing, it reveals how silicon distribution influences crack formation.
Yang Chen +7 more
wiley +1 more source
The contingent impact of artificial intelligence on teaching effectiveness: a meta-analytic review of boundary conditions and moderating factors. [PDF]
Cai J, Zhu J, Tang X, Li G.
europepmc +1 more source
Machine Learning for Green Solvents: Assessment, Selection and Substitution
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta +4 more
wiley +1 more source

