Results 111 to 120 of about 68,163 (244)

Enhancing stroke risk stratification in atrial fibrillation through non‐Newtonian blood modelling and Gaussian process emulation

The Journal of Physiology, EarlyView.
Abstract figure legend Non‐Newtonian modelling and GPEs for stroke risk in atrial fibrilation patients. Abstract Atrial fibrillation (AF) is the most common heart arrhythmia, linked to a five‐fold increase in stroke risk. The left atrial appendage (LAA), prone to blood stasis, is a common thrombus formation site in AF patients.
Paolo Melidoro, Abdel Rahman Amr Sultan, Ahmed Qureshi, Magdi H. Yacoub, Khalil L. Elkhodary, Gregory Y. H. Lip, Natalie Montarello, Nishant Lahoti, Ronak Rajani, Magdalena Klis, Steven E. Williams, Oleg Aslanidi, Adelaide De Vecchi   +12 more
wiley   +1 more source

Resolving the hypercube

Discrete Applied Mathematics, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Insights from electromechanical simulations to assess omecamtiv mecarbil efficacy in heart failure

The Journal of Physiology, EarlyView.
Abstract figure legend Impact of Omecamtiv Mecarbil (OM) on in‐silico models of heart failure. A mathematical electromechanical model of human ventricular tissue is used to simulate the effects of OM in heart failure with reduced ejection fraction (HFrEF).
Maria Teresa Mora, Ilse van Herck, Cécile Daversin‐Catty, Henrik Finsberg, Jordi Llopis‐Lorente, Javier Saiz, Hermenegild Arevalo, Samuel Wall, Beatriz Trenor   +8 more
wiley   +1 more source

The Strong Local Diagnosability of a Hypercube Network with Missing Edges

Complexity, 2018
In the research on the reliability of a connection network, diagnosability is an important problem that should be considered. In this article, a new concept regarding diagnosability, called strong local diagnosability (SLD), which describes the local ...
Min Xie, Jiarong Liang, Xi Xiong
doaj   +1 more source

Beyond Beer‐Lambert Linear Regression: Multi‐Layer Modeling for Wide‐Range Concentration Quantification Using Ultraviolet‐visible Spectroscopy

Analytical Science Advances, Volume 7, Issue 1, June 2026.
ABSTRACT Ultraviolet–visible (UV‐Vis) spectroscopy is widely used for chemical quantification due to its simplicity and low cost; however, accurate concentration prediction becomes challenging when target concentrations span wide ranges, where the global linearity assumption of the Beer‐Lambert law often breaks down.
Muhammed ALjifri, Carter Miller, Yanjun Qian, Ye Chen, Mo Jiang   +4 more
wiley   +1 more source

Elastoplasticity Informed Kolmogorov–Arnold Networks Using Chebyshev Polynomials

International Journal for Numerical and Analytical Methods in Geomechanics, Volume 50, Issue 8, Page 3331-3354, 10 June 2026.
ABSTRACT Multilayer perceptron (MLP) networks are predominantly used to develop data‐driven constitutive models for granular materials. They offer a compelling alternative to traditional physics‐based constitutive models in predicting non‐linear responses of these materials, for example, elastoplasticity, under various loading conditions. To attain the
Farinaz Mostajeran, Salah A. Faroughi
wiley   +1 more source

Denoising Diffusion Model With Pixel‐Adaptive Convolutions for Sheet Metal Forming Analysis

Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 2, June 2026.
ABSTRACT Traditional tool development processes in mechanical forming, especially for pressing tools, are often limited by time‐consuming trial‐and‐error cycles, which rely heavily on expert knowledge. These cycles can create bottlenecks and increase costs.
Syed Sarim Ali, Henning Karsten Hupfeld, Klaus Dröder, André Hürkamp   +3 more
wiley   +1 more source

Physics‐Informed Bayesian Optimisation of Utility‐Scale Wind Farms in Synthetically Generated Complex Terrain Using LES

Wind Energy, Volume 29, Issue 6, June 2026.
ABSTRACT Optimising turbine layouts to maximise power output is crucial for wind farm development, particularly in complex terrain where analytical wake models fail to capture key flow physics. We present the first application of Bayesian optimisation (BO) combined with large eddy simulations (LES) for utility‐scale wind farm layout optimisation in ...
Christian Jané‐Ippel, Rafael Palacios, Sylvain Laizet   +2 more
wiley   +1 more source

Parametric Model Order Reduction by Box Clustering With Applications in Mechatronic Systems

International Journal for Numerical Methods in Engineering, Volume 127, Issue 10, 30 May 2026.
ABSTRACT High temperatures and structural deformations can compromise the functionality and reliability of new components for mechatronic systems. Therefore, high‐fidelity simulations (HFS) are employed during the design process, as they enable a detailed analysis of the thermal and structural behavior of the system.
Juan Angelo Vargas‐Fajardo, Diana Manvelyan‐Stroot, Catharina Czech, Pietro Botazzoli, Fabian Duddeck   +4 more
wiley   +1 more source

Sensitivity of Anthropogenic Cloud Droplet Number Change to Preindustrial Emission Inventories and Physics Parameterizations

Geophysical Research Letters, Volume 53, Issue 9, 16 May 2026.
Abstract Understanding the preindustrial (PI) to present‐day (PD) change in cloud droplet number concentration (ΔNd) is important to constrain the anthropogenic influence on clouds and aid future model projections. Perturbed parameter ensemble simulations of PI and PD conditions in the Energy Exascale Earth System Model (E3SMv3) reveal two locations ...
Hunter Y. Brown, Daniel T. McCoy, Jacqueline M. Nugent, Hailong Wang, Mingxuan Wu, Kai Zhang, Susannah M. Burrows   +6 more
wiley   +1 more source