Results 91 to 100 of about 173,770 (295)
This work develops 3D‐printable tribopolymer networks that can enhance triboelectric performance under high humidity environments. Polar hydrophilic functional groups and incorporation of zwitterionic monomers promote bound‐water–dominated interfacial polarization thereby increasing electrical outputs.
Linguangze Zhuo +8 more
wiley +1 more source
Structural and Chemical Engineering of Sub‐Nanochannel Membranes Toward Ion Selectivity
This review summarizes recent advances in structural and chemical engineering of sub‐nanochannels for ion selectivity. We first introduce fundamental ion transport mechanisms within sub‐nanochannels, followed by strategies to tune pore size, geometry, and surface functionalities, categorized into charge‐based, ion‐recognition, hydrophilic bonding, and ...
Yuyu Su +5 more
wiley +1 more source
Mathematical Modeling on a Physics-Informed Radial Basis Function Network
The article is devoted to approximate methods for solving differential equations. An approach based on neural networks with radial basis functions is presented. Neural network training algorithms adapted to radial basis function networks are proposed, in
Dmitry Stenkin, Vladimir Gorbachenko
doaj +1 more source
Hydrogen‐Bond–Driven Ion Retention in Electrolyte‐Gated Synaptic Transistors
Anion molecular design governs ion–polymer interactions in electrolyte‐gated synaptic transistors. Asymmetric anions induce hydrogen‐bond interactions that suppress ion back‐diffusion and stabilize doping, enabling enhanced nonvolatile synaptic properties.
Donghwa Lee +5 more
wiley +1 more source
The Usage of Neural Networks for the Medical Diagnosis [PDF]
The problem of cancer diagnosis from multi-channel images using the neural networks is investigated. The goal of this work is to classify the different tissue types which are used to determine the cancer risk.
Malyshevska, Kateryna
core
Computational Modeling Meets 3D Bioprinting: Emerging Synergies in Cardiovascular Disease Modeling
Emerging advances in three‐dimensional bioprinting and computational modeling are reshaping cardiovascular (CV) research by enabling more realistic, patient‐specific tissue platforms. This review surveys cutting‐edge approaches that merge biomimetic CV constructs with computational simulations to overcome the limitations of traditional models, improve ...
Tanmay Mukherjee +7 more
wiley +1 more source
Gaussian Radial Basis Function Kernels are the most-often-employed kernel function in artificial intelligence for providing the optimal results in contrast to their respective counterparts.
Himanshu Singh
doaj +1 more source
Dynamic Modulation of the Microenvironment Promotes Functional Maturation of Engineered Tissues
Engineered tissues lack the dynamic microenvironment of native tissues. A biocompatible, diffusible small molecule to dynamically modulate tissue microenvironments during maturation is used. Timing‐dependent modulation yields distinct outcomes, producing thicker, more native‐like blood vessels, stronger and more mature cardiac tissues, and optimized ...
Eric Silberman +7 more
wiley +1 more source
Neural cell–derived small extracellular vesicles (sEVs) are emerging as pivotal mediators in neurodegenerative diseases, exerting both pathogenic and therapeutic functions. This review synthesizes current evidence on how sEVs from distinct neural cell types regulate neurodegeneration, neuroprotection, biomarker discovery, and targeted drug delivery ...
Muhammad Waqas Salim +4 more
wiley +1 more source
Cerebral organoids are transforming brain research, yet the field remains fragmented. This comprehensive systematic review maps 738 studies published between 2014 and 2024 to uncover trends, gaps, and opportunities across neuroscience. Introducing OrganoidMap—an interactive, open‐access platform to explore and compare models—this work enables ...
Anna Wolfram +10 more
wiley +1 more source

