Results 231 to 240 of about 142,824 (305)

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

Computational Fluid Dynamic Analysis of Fluid Motion and Volumetric Gas-Liquid Mass Transfer in Agitated Platelet Concentrate Storage. [PDF]

Biotechnol J
Pym D, Davies AJ, Williams JO, Saunders C, George CE, Mason-Jones A, James PE.   +6 more
europepmc   +1 more source

CFD Simulation of Helicopter Downwash

Several 3D CFD simulations of helicopter downwash are conducted in this master’s thesis. It aims to analyse the induced downwash pattern from a Search and Rescue (SAR) QUEEN helicopter, with and without the fuselage, on its surroundings and determine the mean downwash velocities while hovering at 50 feet and 90 feet and during landing at the Stavanger ...
openaire   +1 more source

Virtual left atrial appendage occlusion in paroxysmal atrial fibrillation during sinus rhythm predicts variable reductions in blood stasis

The Journal of Physiology, EarlyView.
Abstract figure legend Stasis before and after left atrial appendage occlusion (LAAO) in participants with high stasis and low stasis. Stasis is predominantly located in LAA and reduced after LAAO. But in the participant with high stasis, stasis remains close to the occlusion site, indicating a potential risk for device related thrombi.
Sophia Bäck, Jonas Lantz, Iulia Skoda, Lars O. Karlsson, Anders Persson, Carl‐Johan Carlhäll, Tino Ebbers   +6 more
wiley   +1 more source

A Hybrid CFD Platform for Colloidal Fouling Prediction in Electrodialysis. [PDF]

Membranes (Basel)
Volpe F, Battaglia G, Cipollina A, Micale G, Tamburini A.   +4 more
europepmc   +1 more source

Bottom‐Up Ice Growth Geometry Attenuates Shear Stress and Improves the Cryopreservation of Hematopoietic Stem/Progenitor Cells Under Low DMSO Concentrations

Biotechnology and Bioengineering, Volume 123, Issue 3, Page 582-597, March 2026.
ABSTRACT Studies on cell cryopreservation have been limited by the complexity of the freezing process and challenges on controlling ice formation, managing cooling rates, and optimizing cryoprotectant concentrations. The objective of this study is to evaluate the impact of bottom‐up and conventional radial freezing on the viability of mammalian cells ...
Rafaela Ouro Neves, Pedro Sena Rego, Marta H. G. Costa, Isabel Bogalho, Andreia Duarte, Claúdia L. da Silva, Frederico Castelo Ferreira, Vitor Geraldes, Miguel A. Rodrigues   +8 more
wiley   +1 more source

Impact of RAMPA Therapy on Nasal Cavity Expansion and Paranasal Drainage: Fluid Mechanics Analysis, CAE Simulation, and a Case Study. [PDF]

Biomimetics (Basel)
Moshfeghi M, Mitani Y, Okai-Kojima Y, Choi B.   +3 more
europepmc   +1 more source

Learning hydrocracking reaction dynamics via neural ODEs: A data‐driven, gradient‐interpretable lumped modelling framework

The Canadian Journal of Chemical Engineering, Volume 104, Issue 3, Page 1372-1386, March 2026.
This work demonstrates the application of neural ordinary differential equations (neural ODEs) for learning hydrocracking reaction kinetics directly from data, achieving robust predictions under noise and sparsity while preserving mechanistic interpretability through gradient‐based analysis of temperature‐ and concentration‐dependent reaction rates ...
Souvik Ta, Lakshminarayanan Samavedham, Ajay K. Ray   +2 more
wiley   +1 more source

Analysis of Turbulent Modeling for Free‐Surface Flows Using a Hybrid RANS‐LES Model and Particle‐Based Moving Particle Semi‐Implicit Method

International Journal for Numerical Methods in Fluids, Volume 98, Issue 3, Page 321-347, March 2026.
A hybrid RANS‐LES turbulence model adapted for the Moving Particle Semi‐implicit method is employed to investigate a turbulent free surface flow. A method based on the cell‐linked list is proposed to speed up the nearest wall search for the turbulence model.
Fabio Kenji Motezuki, Lucas Soares Pereira, Liang‐Yee Cheng, Fernando Akira Kurokawa   +3 more
wiley   +1 more source

Dataset for analysis of computational fluid dynamics results from an industrial centrifugal fan. [PDF]

Data Brief
Pereira MC, Cesário MC, Paiva AP.
europepmc   +1 more source