Results 281 to 290 of about 1,538,874 (331)

Exosome‐Loaded Contact Lenses: A Novel Approach for Sustained Ocular Drug Delivery

open access: yesNano Select, EarlyView.
The graphical abstract illustrates the characterization of the exosomes used, the loading technique, and the visual of the lens post‐exosome loading on the eye model. ABSTRACT Drug‐eluting permeable soft contact lenses are sustainable alternatives to traditional ocular drug delivery methods, such as topical eyedrops, ointments, gels, systemic delivery,
Said El Turk   +6 more
wiley   +1 more source

A Note on the Existence and Optimal Control of Atangana–Baleanu Fractional Stochastic Integrodifferential System With Noninstantaneous Impulses

open access: yesOptimal Control Applications and Methods, EarlyView.
Optimal Control of AB Caputo Fractional Stochastic Integrodifferential Control System with Noninstantaneous Impulses. ABSTRACT This study is concerned with the existence of mild solution and optimal control for the Atangana–Baleanu fractional stochastic integrodifferential system with noninstantaneous impulses in Hilbert spaces. We verify the existence
Murugesan Johnson   +2 more
wiley   +1 more source

Integral representation of generalized grey Brownian motion. [PDF]

open access: yesStochastics (Abingdon), 2019
Bock W, Desmettre S, da Silva JL.
europepmc   +1 more source

Magnetic Nanoparticles: Synthesis and Applications in Life Sciences

open access: yesChemistryOpen, EarlyView.
This review critically evaluates recent advancements in the synthesis, structural design, and application‐driven engineering of magnetic nanoparticles (MNPs) across biomedicine, environmental remediation, and agriculture. Emphasis is placed on sustainable synthesis approaches, morphological control, life science applications, and prevailing challenges ...
Kishore Chand   +1 more
wiley   +1 more source

Electrical Behavior of Green‐Synthesized Nano Silver Particles Embedded in Polyurethane: Numerical and Experimental Studies

open access: yesPolymer Composites, EarlyView.
AgNPs were synthesized using Urtica dioica. AgNPs‐PU was prepared using a solution mixing method followed by spin coating. Microscopy Optical image of AgNPs‐PU composite with different concentrations of AgNPs. Electrical behaviour versus pressure. ABSTRACT This study explores the electrical properties of a nanocomposite composed of green‐synthesized ...
Saeid Mehvari   +6 more
wiley   +1 more source

Hybrid Nanoparticles Separated by Buoyant Density in a Large‐Scale Centrifugal Process

open access: yesJournal of Polymer Science, EarlyView.
Zonal rotors, shaped like hollow bowls, can sort mixtures of macromolecules and polymer nanoparticles based only on their densities, regardless of their actual sizes or shapes. Using these rotors can make a big difference because they do not need to use centrifuge tubes.
Claudia Simone Plüisch   +2 more
wiley   +1 more source

A stochastic differential equation framework for gravity wave parametrisation with testing in an idealised setting

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Parametrisations of unresolved gravity waves used in general circulation models can be made more computationally efficient by introducing a stochastic component to the forcing. Additionally, it is believed that intermittency associated with a stochastic parametrisation could be tuned to resemble the intermittency of observed gravity wave sources to ...
K. Xie, M. Ewetola, J. G. Esler
wiley   +1 more source

Determination of Thermal Damage and Failure Time Analysis in Rocks Using Stochastic Models

open access: yesQuality and Reliability Engineering International, EarlyView.
ABSTRACT This study presents a stochastic modeling framework for estimating thermal damage and predicting failure time in fine‐grained Dholpur sandstone subjected to high‐temperature conditions. Unlike conventional approaches that rely on extensive thermally altered physical and mechanical properties, the proposed method utilizes only temperature and ...
Ankush Sharma
wiley   +1 more source

Quantum‐Noise‐Driven Generative Diffusion Models

open access: yesAdvanced Quantum Technologies, EarlyView.
Diffusion Models (DMs) are today a very popular class of generative models for Machine Learning (ML), using a noisy dynamics to learn an unknown density probability of a finite set of samples in order to generate new synthetic data. This study proposes a method to generalize them into the quantum domain by introducing and investigating what are termed ...
Marco Parigi   +2 more
wiley   +1 more source

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