Results 121 to 130 of about 1,398,922 (322)

ROS‐Responsive Wedelolactone Hydrogel Promotes Intervertebral Disc Repair by Disrupting the NF‐κB–LCN2 Inflammatory Feedback Loop

open access: yesAdvanced Science, EarlyView.
A mechanically robust, ROS‐responsive hydrogel is engineered to treat intervertebral disc degeneration by targeting the NF‐κB–LCN2 inflammatory feedback loop. By delivering wedelolactone specifically within oxidative niches, this system disrupts macrophage–disc cell crosstalk.
Zimei Wu   +10 more
wiley   +1 more source

The Effects of Changes in Reaction Rates on Simulations of Nova Explosions

open access: yes, 2007
Classical novae participate in the cycle of Galactic chemical evolution in which grains and metal enriched gas in their ejecta, supplementing those of supernovae, AGB stars, and Wolf-Rayet stars, are a source of heavy elements for the ISM.
Hix, W. R.   +4 more
core   +1 more source

Tuning Li+ and Na+ Functionality in Renewable Carbon Electroactive Material Through Site‐Specific Nanostructural Disorder

open access: yesAdvanced Science, EarlyView.
This study presents a selective thermal transformation of polycarbonate into hybrid carbon materials. The structured carbon enhances electrochemical performance, particularly in lithium‐ion systems. Investigations reveal improved bimetallic ion diffusivity through the hybrid microstructure, contributing to excellent charge kinetics.
Montajar Sarkar   +7 more
wiley   +1 more source

Influence of new reaction rates on 18F production in novae [PDF]

open access: yes, 2000
Gamma-ray emission from classical novae is dominated, during the first hours, by positron annihilation resulting from the beta decay of radioactive nuclei.
Coc, Alain   +3 more
core   +2 more sources

Sugar‐Armored Pesticides: Self‐Assembled System for Enhanced Foliar Adhesion and Sustained Delivery of Hydrophobic Antimicrobials Against Bacterial Diseases

open access: yesAdvanced Science, EarlyView.
This study develops a sugar‐armored, self‐assembled pesticide delivery system that enhances foliar adhesion, provides sustained release, effectively disrupts biofilms, and demonstrates superior bactericidal activity for improved disease control.
Jinghan Yang   +3 more
wiley   +1 more source

Recurrent Novae — A Review

open access: yesActa Polytechnica CTU Proceedings, 2015
In recent years, recurrent nova eruptions are often observed very intensely in wide range of wavelengths from radio to optical to X-rays. Here I present selected highlights from recent multi-wavelength observations. The enigma of T Pyx is at the heart of
K. Mukai
doaj   +1 more source

Dual Effect of Steric Hindrance in Non‐Aqueous Amine Absorbents: Navigating the Trade‐Off Between Kinetics and Thermodynamics for Efficient CO2 Capture

open access: yesAdvanced Science, EarlyView.
This study elucidates how steric hindrance in amines creates a dual effect in CO2 capture: it thermodynamically favors the reaction by shifting the pathway from carbamate to alkyl carbonate formation, increasing capacity and lowering regeneration heat, while simultaneously slightly slowing the kinetics.
Xiaoyi Gao   +8 more
wiley   +1 more source

Long-Term Photometry of Very Slow Novae

open access: yesOpen Astronomy, 2003
Long-term photographic, photoelectric and recent CCD photometry of the classical nova V723 Cas and symbiotic novae V1329 Cyg, PU Vul, V1016 Cyg and HM Sge were used to find their orbital periods.
Chochol D.   +3 more
doaj   +1 more source

Recurrent Novae, Classical Novae, Symbiotic Novae, and Population II Novae

open access: yes, 2001
Light curve analysis of decay phase of nova outburst are summarized. Nova duration is determined by the strong wind mass-loss which depends only on the white dwarf mass. Fast novae correspond very massive white dwarfs and very slow novae correspond almost lower mass limit of white dwarfs.
openaire   +2 more sources

Macrophage Phenotype Detection Methodology on Textured Surfaces via Nuclear Morphology Using Machine Learning

open access: yesAdvanced Intelligent Discovery, EarlyView.
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi   +5 more
wiley   +1 more source

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