Results 61 to 70 of about 51,987 (199)
Ischemia‐reperfusion reduces Sirt6 activity, thereby increasing Miro1 acetylation. Hyperacetylated Miro1 exhibits perinuclear distribution and degradation, thereby inducing mitochondrial dysfunction and promoting apoptosis in renal tubular epithelial cells. This pathway reveals a mechanistic link between Sirt6‐mediated deacetylation and Miro1 stability
Lin Wu +12 more
wiley +1 more source
UFL1‐Mediated UFMylation of ENO1 Restrains Aerobic Glycolysis and Colorectal Cancer Progression
UFMylation restrains aerobic glycolysis and colorectal cancer progression by modifying the glycolytic enzyme ENO1. Pharmacological enhancement of the UFL1–ENO1 interaction by the FDA‐approved antibiotic torezolid promotes ENO1 UFMylation, suppresses tumor metabolism, and sensitizes colorectal cancer to chemotherapy, revealing an actionable metabolic ...
Xiuqing Ma +14 more
wiley +1 more source
ESCC‐derived exosomal circAP2B1 promotes tumor progression by reprogramming mitochondrial metabolism via the ESRRA/KPNA1/MFN2 axis to induce M2 polarization of macrophages. ABSTRACT Esophageal squamous cell carcinoma (ESCC) remodels the immunosuppressive tumor microenvironment via exosome‐mediated intercellular communication.
Yiru Wang +5 more
wiley +1 more source
Very brave little angels from José Maurício Nunes Garcia
José Maurício Nunes Garcia wrote two pairs of Laudate Pueri Dominum and Laudate Dominum Omnes Gentes, in 1813, an 1821, respectively, in order to be performed together in these occasions.
Marcio Pascoa
doaj +1 more source
CuPB@HA is a CD44‐associated, plaque‐targeted nanozyme that alleviates oxidative stress, inflammation, and lipid accumulation in macrophages. By reducing CD36‐dependent lipid uptake and promoting ABCA1/ABCG1‐mediated cholesterol handling, it improves macrophage function, preferentially accumulates in atherosclerotic lesions, reduces plaque burden, and ...
Jianliang Ou +14 more
wiley +1 more source
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley +1 more source
Intrinsic Mechanical Parameters and their Characterization in Solid‐State Lithium Batteries
This review focuses on the intrinsic mechanical parameters and their associated characterization in solid‐state batteries. The physical significance of mechanics parameters is introduced with exhaustive classifications by elastic, plastic deformations and fracture in bulk, adhesion, friction at interfaces, and mechanical fatigue in cells ...
Shuai Hao +5 more
wiley +1 more source
Fluorination of polytriphenylamine lowers the HOMO energy, enabling high‐voltage operation of the PFTPA cathode. Electron‐withdrawing F substituents stabilize the nitrogen redox center and suppress polarization, leading to fast kinetics. The optimized polymer delivers ∼3.75 V vs.
Natalia Voronina +6 more
wiley +1 more source
A machine learning framework simultaneously predicts four critical properties of monomers for emulsion polymerization: propagation rate constant, reactivity ratios, glass transition temperature, and water solubility. These tools can be used to systematically identify viable bio‐based monomer pairs as replacements for conventional formulations, with ...
Kiarash Farajzadehahary +1 more
wiley +1 more source
Accelerating Sustainable Epoxy Resin Development Through Bayesian Optimization and Inverse Design
Development of a machine learning framework for the optimization of the Tg of partially bio‐based epoxy resin formulations in a 13‐component design space using Bayesian optimization, active learning, random design, and inverse design. The results show that the BO effectively navigates high‐dimensional formulation spaces, and the final ML model could ...
Natalie Wunder +3 more
wiley +1 more source

