Results 111 to 120 of about 110,928 (311)

Ionospheric Time Series Prediction Method Based on Spatio-Temporal Graph Neural Network

Atmosphere
Predicting global ionospheric total electron content (TEC) is critical for high-precision GNSS applications, but some existing models fail to jointly capture spatial heterogeneity and multiscale temporal trends. To address the problem, this work proposes
Yifei Chen, Yang Liu, Kunlin Yang, Lanhao Li, Chao Xiong, Jinling Wang   +5 more
doaj   +1 more source

Design Strategies and Emerging Applications of High‐Performance Flexible Piezoresistive Pressure Sensors

Advanced Functional Materials, EarlyView.
Flexible piezoresistive pressure sensors underpin wearable and soft electronics. This review links sensing physics, including contact resistance modulation, quantum tunneling and percolation, to unified materials/structure design. We highlight composite and graded architectures, interfacial/porous engineering, and microstructured 3D conductive networks
Feng Luo, Artur Ciesielski, Paolo Samorì   +2 more
wiley   +1 more source

Computational Modeling Meets 3D Bioprinting: Emerging Synergies in Cardiovascular Disease Modeling

Advanced Healthcare Materials, EarlyView.
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, Mehdi Salar Amoli, Sarah Rezapourdamanab, Lama Rita El Shammas, Martin L. Tomov, Emilio A. Mendiola, Vahid Serpooshan, Reza Avazmohammadi   +7 more
wiley   +1 more source

Adaptive period decomposition network with muti-scale temporal variation learning for water level prediction

Journal of Hydrology: Regional Studies
Study region:: Hanjiang River Basin, China Study focus:: This study introduces DLGNet, an advanced water level prediction model that employs an adaptive multi-resolution decomposition to decouple multiple periodic components.
Hui Wang, LiPing Wang, QiCang Qiu, Yuyan Gao, WenJuan Li, QiuShun Wang   +5 more
doaj   +1 more source

Multiscale model reduction for shale gas transport in fractured media [PDF]

, 2015
I. Yücel Akkutlu, Yalchin Efendiev, Maria Vasilyeva   +2 more
openalex   +1 more source

Multiscale model reduction for incompressible flows [PDF]

, 2022
Jared Callaham, Jean-Christophe Loiseau, Steven L. Brunton   +2 more
openalex   +1 more source

Laser‐Assisted Processing and Modification of Bioactive Glasses: A Review

Advanced Healthcare Materials, EarlyView.
Laser technologies provide powerful tools to process and transform bioactive glasses for advanced biomedical applications. This review discusses laser‐matter interaction mechanisms, laser surface engineering, and laser‐assisted fabrication of scaffolds and nanofibers.
Antonio Riveiro, Mario González‐Quintas, Mónica Fernández‐Arias, Jesús del Val, Félix Quintero, Rafael Comesaña, Fernando Lusquiños, Julian R. Jones, Juan Pou   +8 more
wiley   +1 more source

Dual‐Peptide Nanoplatform: Mesoporous Silica Nanoparticles Functionalized With a Cell‐Penetrating Peptide and Loaded With Rationally Designed Antimicrobial Peptides for Tuberculosis Therapy

Advanced Healthcare Materials, EarlyView.
Machine learning–guided engineering of a plectasin‐derived peptide yields DC05, a potent antimycobacterial candidate. Encapsulation into tuftsin‐functionalized mesoporous silica nanoparticles enhances intracellular delivery, stability, and activity against Mycobacterium tuberculosis while maintaining low cytotoxicity and minimal hemolysis. The combined
Christian S. Carnero Canales, Cesar Augusto Roque‐Borda, Ana Carolina Cerqueira Negri, Oswaldo Ramirez Delgado, Letícia Oliveira Catarin Nunes, Flávia Aparecida Resende, Hernane Barud, Norival Alves Santos‐Filho, Saulo Santesso Garrido, Karen Cristina Oliveira, Alexandra Ivo de Medeiros, Rafael Miguel Sábio, Fernando Rogério Pavan   +12 more
wiley   +1 more source

Automated Scale Reduction of Nonlinear QSP Models With an Illustrative Application to a Bone Biology System

CPT: Pharmacometrics & Systems Pharmacology, 2018
Integrating quantitative systems pharmacology (QSP) into pharmacokinetics/pharmacodynamics (PKPD) has resulted in models that are highly complex and often not amenable to further exploration via estimation or design.
Chihiro Hasegawa, Stephen B. Duffull
doaj   +1 more source

On fundamental concepts for model reduction in multiscale combustion models

, 2016
Simulation of chemically reacting flows modeled by dissipative dynamical systems with spectral gaps requires an immense expenditure of time despite the continual advancement of digital computing power. In order to decrease this effort to an acceptable level, model reduction methods aim at a low-dimensional approximation of the underlying model ...
openaire   +2 more sources