Results 191 to 200 of about 170,209 (319)

Ga Doping Enables Precision Alloy‐to‐Wire Regulation: Synergistic Enhancement of the Mechanical Properties of CuSn Alloy and the Superconducting Properties of Nb3Sn

open access: yesAdvanced Science, EarlyView.
By adjusting Ga's doping in Cu–Sn alloy, an ultra‐high elongation of 100.8% is achieved in first time. Ga forms a stable solid solution structure and a stronger electron exchange with Cu. This enhances strength‐ductility synergistically by tuning SFE to balance twinning and slip.
Dazhuo Song   +15 more
wiley   +1 more source

Radical‐Mediated, Substrate‐Independent Fabrication of Hybrid Solid–Hydrogel Materials With Tunable Crosslinking: An Initiator‐ and Crosslinker‐Free Approach

open access: yesAdvanced Science, EarlyView.
This work introduces a substrate‐independent, reagent‐free plasma strategy that forms radical‐rich interlayers for covalent hydrogel attachment without initiators or crosslinkers. The long‐lived radicals drive in situ gelation, creating robust, cytocompatible hybrid solid–hydrogel constructs across diverse substrates.
Ghazal Shineh   +14 more
wiley   +1 more source

β‐Adrenergic Signaling Promotes Anti‐Tumor Immunity in TP53‐mutant Oral Squamous Cell Carcinoma

open access: yesAdvanced Science, EarlyView.
β‐adrenergic stimulation enhances anti‐tumor immunity in TP53‐deficient oral squamous cell carcinoma by inducing tumor‐derived secretion of CXCL10, which attracts and activates cytotoxic CD8+ T cells. The findings demonstrate that β‐adrenergic signaling alters tumor–immune interactions via CXCL10‐mediated paracrine activation, revealing a neuro‐immune ...
Frederico O. Gleber‐Netto   +20 more
wiley   +1 more source

Unravelling mechanisms regulating Mincle activation. [PDF]

open access: yesCommun Biol
Serene LG   +3 more
europepmc   +1 more source

Linearizing and Forecasting: A Reservoir Computing Route to Digital Twins of the Brain

open access: yesAdvanced Science, EarlyView.
A new approach uses simple neural networks to create digital twins of brain activity, capturing how different patterns unfold over time. The method generates and recovers key dynamics even from noisy data. When applied to fMRI, it predicts brain signals and reveals distinctive activity patterns across regions and individuals, opening possibilities for ...
Gabriele Di Antonio   +3 more
wiley   +1 more source

Home - About - Disclaimer - Privacy