Results 121 to 130 of about 5,611,476 (304)

Remote Activation of Wnt Signaling and Cell Proliferation by E‐Cadherin Magnetomechanical Stimulation

Advanced Functional Materials, EarlyView.
A pioneering magnetogenetic toolkit enables non‐invasive, precise spatiotemporal modulation of intracellular Wnt/β‐catenin signaling. Functionalized magnetic nanoparticles (MNPs@E/EC15) target cellular E‐cadherins to generate localized magnetomechanical forces under low‐intensity magnetic fields.
Christian Castro‐Hinojosa, Pablo Martínez‐Vicente, Lucía G. Recaredo, Susel Del Sol‐Fernández, Pilar Gomollón‐Zueco, Yilian Fernández‐Afonso, Raluca M. Fratila, María Moros   +7 more
wiley   +1 more source

Anti‐Inflammatory and Neuroactive Effects of Polymer‐Coated Iron Oxide Nanoparticles Functionalized With Interleukin 4 for Spinal Cord Injury

Advanced Healthcare Materials, EarlyView.
Polymer‐coated IONPs functionalized with IL‐4 display respective neuroactive and anti‐inflammatory actions on neural progenitor cells and macrophages/microglia in vitro. When examined chronically in a rat experimental model of spinal cord injury, rGO scaffolds carrying these nanosystems adequately integrate into the lesion, significantly reduce ...
Julia Martínez‐Ramírez, Paloma Lozano‐Picazo, María de Lamo‐Atencia, Andrea Ferreras, Esther Benayas‐Martín, Elena Fernández‐López, Marina Sánchez‐Petidier, Verónica Barranco‐Maresca, Víctor Caz, Anne des Rieux, Juliana M. Rosa, María del Puerto Morales, María C. Serrano   +12 more
wiley   +1 more source

Pressure‐Assisted Drug Delivery Using High‐Pressure Balloon Platform Improves Vascular Drug Penetration and Anti‐Restenotic Effects

Advanced Healthcare Materials, EarlyView.
A dual‐layer high‐pressure drug‐coated balloon (HP@DCB) increased balloon‐wall contact and promoted deeper paclitaxel (PTX) penetration than a conventional noncompliant DCB. In in vivo study, HP@DCB treatment improved luminal patency and reduced neointimal hyperplasia, supporting pressure‐assisted drug delivery as a promising strategy for enhancing the
Seung Jin Eo, So Yun Lim, Dong‐Sung Won, Ji Won Kim, Yubeen Park, Song Hee Kim, Hyemin Lee, Jung‐Min Ahn, Jun‐Kyu Park, Do‐Yoon Kang, Jung‐Hoon Park   +10 more
wiley   +1 more source

A Constructive Framework for Nondeterministic Automata via Time-Shared, Depth-Unrolled Feedforward Networks

IEEE Access
We present a formal and constructive simulation framework for nondeterministic finite automata (NFAs) using time-shared, depth-unrolled feedforward networks (TS-FFNs), i.e., acyclic unrolled computations with shared parameters that are functionally ...
Sahil Rajesh Dhayalkar
doaj   +1 more source

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source

Logic Gated Time Shared Feedforward Networks for Alternating Finite Automata: Exact Simulation and Learnability

IEEE Access
We present a formal and constructive framework for simulating Alternating Finite Automata (AFAs) using Logic Gated Time Shared Feedforward Networks (LG-TS-FFNs).
Sahil Rajesh Dhayalkar
doaj   +1 more source

Simulation of land use changes using cellular automata and artificial neural network [PDF]

This paper presents a method integrating artificial neural network (ANN) in cellular automata (CA) to simulate land use changes in Luxembourg and the areas adjacent to its borders. The ANN is used as a base of CA model transition rule.
BASSE Reine Maria, OMRANI Hichem, BÓDIS Katalin, CHARIF Omar, GERBER Philippe   +4 more
core  

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Pseudorandom number generation with self programmable cellular automata [PDF]

, 2004
In this paper, we propose a new class of cellular automata – self programming cellular automata (SPCA) with specific application to pseudorandom number generation. By changing a cell's state transition rules in relation to factors such as its neighboring
Guan, SU, Tan, SK
core   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source