Results 61 to 70 of about 1,844,693 (264)

A turbulence reduced order model based on non-interpolated convolutional autoencoder

Xibei Gongye Daxue Xuebao
Reduced-order modeling stands as a pivotal method in curbing the computational expenses linked with expansive fluid dynamics quandaries by employing proxy numerical simulations.
WU Pin, ZHANG Bo, SONG Chao, ZHOU Zhu
doaj   +1 more source

Acute Neurological Events in Children With Hemoglobin SC Disease: A Multicenter Retrospective Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Neurological manifestations in children with hemoglobin SC (HbSC) disease remain insufficiently characterized, particularly regarding acute events. The aim of this study was to describe the spectrum and frequency of acute neurological events in a multicenter cohort of children with HbSC disease.
Célia Paulmin, Bérengère Koehl, Audrey Maudoux, Hanine Mansour, Marie‐Hélène Odievre, Nathalie Garrec, Emilie Georget, Cécile Arnaud, Slimane Allali, Lydia Doumdo, Marie Belloy, Corinne Guitton   +11 more
wiley   +1 more source

Reduced Order Modeling and Sliding Mode Control of Active Magnetic Bearing

IEEE Access, 2019
Due to the accelerated growth in the field of power electronics and controller design techniques, the usage of the active magnetic bearing has picked up in industries. Active magnetic bearing helps the rotor to rotate freely without any physical contact.
Sudipta Saha, Syed Muhammad Amrr, Mashuq Un Nabi, Atif Iqbal   +3 more
doaj   +1 more source

Improvement of Sickle Cell Disease Care Mitigates the Healthcare Utilization Induced by Increased Prevalence: Experience of a Tertiary Pediatric Center

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Sickle cell disease (SCD) has undergone major changes in the last decades. Its prevalence has been steadily increasing and numerous advances have been made in the management of the disease. However, the effect in real‐life setting of these major changes is unknown, particularly in a Canadian environment. Procedure We aimed to assess
Maude Cigna, Alexia Muresan, Estelle Lecluze, Karine Leduc, Nathalie Fournier, Maria Tamer, Jean‐François Delisle, Jeremi Charbonneau, Annie Viau, Jessica Darilus, Marie‐Joëlle Doré‐Bergeron, Valérie Arsenault, Evelyne Doyon‐Trottier, Stéphanie Forte, Nancy Robitaille, Yves Pastore, Thomas Pincez   +16 more
wiley   +1 more source

An orifice shape-based reduced order model of patient-specific mitral valve regurgitation

Engineering Applications of Computational Fluid Mechanics, 2021
Mitral valve regurgitation (MR) is one of the most prevalent valvular heart diseases. Its quantitative assessment is challenging but crucial for treatment decisions.
J. Franz, K. Czechowicz, I. Waechter-Stehle, F. Hellmeier, F. Razafindrazaka, M. Kelm, J. Kempfert, A. Meyer, G. Archer, J. Weese, R. Hose, T. Kuehne, L. Goubergrits   +12 more
doaj   +1 more source

Change in Mental Health and Resilience in Childhood Cancer Survivors After Attending a Person‐Centred State‐of‐the‐Art Late Effects Clinic—on Behalf of the PanCareFollowUp Consortium

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Person‐centred follow‐up care based on evidence‐based clinical practice guidelines and providing individualised information should help to inform and reassure survivors about their medical and psychosocial situation and provide treatment and support where needed.
Gisela Michel, Mieke Rijken, Marietta Kokla, Charlotte Sleurs, Jurgen Lemiere, Line Elmerdahl Frederiksen, Luzius Mader, Cecilia Follin, Sara Oberti, Jeanette Falck Winther, Selina R. van den Oever, Leontien C. M. Kremer, Helena J. H. van der Pal, Peter Spreeuwenberg, Eline Bouwman, Jeroen te Dorsthorst, Samira Essiaf, Elizabeth A. M. (Lieke) Feijen, Hannah Gsell, Riccardo Haupt, Maria van Helvoirt, Rosella P. M. G. Hermens, Lars Hjorth, Tomas Kepak, Katerina Kepakova, Anita Kienesberger, Monica Muraca, Marleen Renard, Carina Schneider, Roderick Skinner, Anne Uyttebroeck, Deveny Vanrusselt, Sabine Verschueren, Jacqueline Loonen, Saskia M. F. Pluijm, Katharina Roser, the PanCareFollowUp consortium   +36 more
wiley   +1 more source

A Fractional-Order Model-Assisted Reduced-Order ADRC for Photoelectric Stabilized Platforms

IEEE Access
To enhance the dynamic performance and disturbance rejection capability of photoelectric stabilized platforms, this study proposes a Fractional-Order Model-assisted Reduced-order Linear Active Disturbance Rejection Control (FO-MRLADRC) algorithm.
Guoyu Lin, Jiangong Wang, Hongwei Di, Xu Chen   +3 more
doaj   +1 more source

Reduced order models based on pod method for schrödinger equations

Mathematical Modelling and Analysis, 2013
Reduced-order models (ROM) are developed using the proper orthogonal decomposition (POD) for one dimensional linear and nonlinear Schrödinger equations. The main aim of this paper is to study the accuracy and robustness of the ROM approximations.
Gerda Jankevičiutė, Teresė Leonavičienė, Raimondas Čiegis, Andrej Bugajev   +3 more
doaj   +1 more source

KROM: Kernelized Reduced Order Modeling

CoRR
We propose KROM, a kernel-based reduced-order framework for fast solution of nonlinear partial differential equations. KROM formulates PDE solution as a minimum-norm (Gaussian-process) recovery problem in an RKHS, and accelerates the resulting kernel solves by sparsifying the precision matrix via sparse Cholesky factorization.
Aras Bacho, Jonghyeon Lee, Houman Owhadi
openaire   +2 more sources

Forecasting the Dialysis Burden in Japan: Validation‐Based Projections of Prevalence and Incidence Through 2050

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Japan has one of the highest dialysis prevalence rates worldwide and a shrinking, aging population. Whether dialysis burden has entered a sustained post‐peak phase or whether recent declines partly reflect pandemic‐related disruptions remains uncertain.
Hatice Şahin, Berrak Itır Aylı, Nüket Paksoy   +2 more
wiley   +1 more source