Results 221 to 230 of about 3,361,542 (356)

Self‐Propelled In Situ Polymerized Nanoparticles Activating the STING Pathway for Enhanced Bladder Cancer Immunotherapy

open access: yesAdvanced Science, EarlyView.
A self‐propelled nanomedicine delivery system forms DMCU nanoparticles in the bladder via in situ polymerization of dopamine hydrochloride, Mn2+, cGAMP, and urease. The urease‐driven propulsion enhances retention and drug delivery. These nanoparticles activate the STING pathway, stimulating dendritic cells and T cells to boost anti‐bladder cancer ...
Lei Peng   +9 more
wiley   +1 more source

Support Vector Machine for Prediction of the Electronic Factors of a Schottky Configuration Interlaid with Pure PVC and Doped by Sm2O3 Nanoparticles

open access: yesAdvanced Electronic Materials, EarlyView.
This study employs a Support Vector Machine (SVM) to predict key electronic variables in metal‐semiconductor (MS) and metal‐nanocomposite‐semiconductor (MPS) structures, analyzing I–V measurements. The research shows a strong correlation between SVM predictions and experimental data, revealing enhanced rectification ratios when using PVC polymer and ...
Yashar Azizian‐Kalandaragh   +2 more
wiley   +1 more source

A mathematical framework of HIV and TB co-infection dynamics. [PDF]

open access: yesSci Rep
Raza N   +5 more
europepmc   +1 more source

Computational and AI‐Driven Design of Hydrogels for Bioelectronic Applications

open access: yesAdvanced Electronic Materials, EarlyView.
This review highlights the role of AI in advancing hydrogel design for bioelectronics, exploring natural, and synthetic gels tailored for applications like wound healing, biosensing, and tissue engineering. It emphasizes the synergy between hydrogels, electronics, and AI in creating responsive, multifunctional systems, showcasing recent innovations ...
Rebekah Finster   +2 more
wiley   +1 more source

Machine Learning‐Driven Surrogate Modeling for Optimization of Triboelectric Nanogenerator Design Parameters

open access: yesAdvanced Electronic Materials, EarlyView.
Design of Experiment and machine learning regression models are leveraged to analyze four process parameters (thickness, pore ratio, applied force, and frequency) of a contact‐separation triboelectric nanogenerator with graphene‐PDMS and aluminum layers using experimental data for the validation of predicted performance and the optimization of the ...
Mohammad Abrar Uddin   +6 more
wiley   +1 more source

Ohmic Response in BiFeO3 Domain Walls by Submicron‐Scale Four‐Point Probe Resistance Measurements

open access: yesAdvanced Electronic Materials, EarlyView.
Lateral transport measurements of multiferroic domain walls (DWs) in BiFeO3 thin films employing a novel, lithography‐free method are presented. Using a submicron‐scale multi‐point probe (MPP), ohmic DW conduction behavior is demonstrated, including the first collinear, four‐point resistivity value of a single DW, free of contact resistances.
Jan L. Rieck   +8 more
wiley   +1 more source

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