Results 171 to 180 of about 1,797 (243)

Achieving superior therapeutic effects on methicillin‐resistant Staphylococcus aureus infection via simple sulfonation process for preparing zwitterionic photosensitizer

open access: yesInterdisciplinary Medicine, EarlyView.
The sulfonated zwitterionic photosensitizer (PYSO3) is synthesized by reacting maleic anhydride derivatives with 4‐aminopyridine to form PY, followed by sulfonation with 1,4‐butane sultone. It exhibits both photothermal and photodynamic properties, enabling effective eradication of MRSA and biofilms, as well as promoting wound healing in mice ...
Changxu Zhu   +10 more
wiley   +1 more source

Nanostructured lipid carriers and natural deep eutectic solvents: a highly advantageous combination for the encapsulation of curcumin

open access: yesJournal of Chemical Technology &Biotechnology, EarlyView.
Abstract BACKGROUND Curcumin is a naturally derived polyphenol known for its potent biological properties. Its therapeutic potential, however, is hindered by low bioavailability. Nanostructured lipid carriers (NLCs) have emerged as advanced delivery systems to overcome such limitations. Natural deep eutectic solvents (NADESs) have garnered attention as
Kyriaki Safari   +5 more
wiley   +1 more source

Mechanisms of Laser Ablation in Liquids and Their Impact on the Efficiency of Nanoparticle Generation

open access: yesLaser &Photonics Reviews, EarlyView.
Laser ablation in liquid enables nanoparticle synthesis from diverse materials but remains less energy‐efficient than ablation in air. This study quantifies the absorption‐corrected ablation efficiency and experimentally confirms redeposition as the key loss mechanism using pump‐probe microscopy.
Maximilian Spellauge   +9 more
wiley   +1 more source

Structure‐Aware Machine Learning for Polymers: A Hierarchical Graph Network for Predicting Properties From Statistical Ensembles

open access: yesMacromolecular Rapid Communications, EarlyView.
This work presents a structure‐aware graph convolutional network that models polymers as statistical ensembles to predict macroscopic properties. By combining topologically realistic graphs generated via kinetic Monte Carlo simulations with explicit molar mass distributions, the framework achieves high accuracy in classifying architectures and ...
Julian Kimmig   +7 more
wiley   +1 more source

Deep Learning‐Based Prediction of Controllable Stress/Strain‐Rate Loading and Design for Loading Conditions

open access: yesMaterials Genome Engineering Advances, EarlyView.
This study establishes the relationship between loading conditions and loading results in graded density impactor (GDI)‐based controllable stress/strain‐rate loading via deep learning, and ultimately realizing the prediction of loading curves and design of loading conditions.
Yiwei Zhang   +7 more
wiley   +1 more source

Explicit‐Implicit Material Point Method for Dense Granular Flows With a Novel Regularized µ(I) Model

open access: yesInternational Journal for Numerical and Analytical Methods in Geomechanics, EarlyView.
ABSTRACT The material point method (MPM) is widely employed to simulate granular flows. Although explicit time integration is favored in most current MPM implementations for its simplicity, it cannot rigorously incorporate the incompressible µ(I)‐rheology, an efficient model ubiquitously adopted in other particle‐based numerical methods. While operator‐
Hang Feng, Zhen‐Yu Yin
wiley   +1 more source

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