scholarly journals Development of a Hybrid Rans-Les Model Based On Temporal Filtering for Natural Convection Flows

2021 ◽  
Author(s):  
P. Bikkanahally ◽  
R. Manceau ◽  
F. Mastrippolito
Keyword(s):  
Natural Convection ◽  
Temporal Filtering ◽  
Model Based ◽  
Les Model

Stratified flow with natural convection weakly stratified fluid

2016 ◽  
Vol 11 (1) ◽  
pp. 88-93
Author(s):  
K.V. Moiseev
Keyword(s):  
Mathematical Model ◽  
Natural Convection ◽  
Linear Approximation ◽  
Layered Structure ◽  
Stratified Flow ◽  
Flow Cell ◽  
Stratified Fluid ◽  
Model Based ◽  
Layered Flows

In work on the basis of a mathematical model based on a linear approximation, we study the formation of the layered flows with natural convection, poorly stratified inhomogeneous liquid. The regions of the parameters under which a layered structure of the flow-cell in a side heating.

scholarly journals A seamless hybrid RANS-LES model based on transport equations for the subgrid stresses and elliptic blending

2010 ◽  
Vol 22 (5) ◽  
pp. 055104 ◽  
Author(s):  
Atabak Fadai-Ghotbi ◽  
Christophe Friess ◽  
Rémi Manceau ◽  
Jacques Borée
Keyword(s):  
Transport Equations ◽  
Model Based ◽  
Subgrid Stresses ◽  
Les Model

Representation, abstraction, and simple-minded sophisticates

2020 ◽  
Vol 43 ◽  
Author(s):  
Peter Dayan
Keyword(s):  
Decision Theory ◽  
Predictive Coding ◽  
Bayesian Decision Theory ◽  
Bayesian Decision ◽  
Model Based ◽  
Model Free

Abstract Bayesian decision theory provides a simple formal elucidation of some of the ways that representation and representational abstraction are involved with, and exploit, both prediction and its rather distant cousin, predictive coding. Both model-free and model-based methods are involved.

Quantitative Model-Based Image Analysis of NuMa Distribution Links Nuclear Organization with Cell Phenotype

2001 ◽  
Vol 7 (S2) ◽  
pp. 578-579
Author(s):  
David W. Knowles ◽  
Sophie A. Lelièvre ◽  
Carlos Ortiz de Solόrzano ◽  
Stephen J. Lockett ◽  
Mina J. Bissell ◽  
...  
Keyword(s):  
Image Analysis ◽  
Mammary Epithelial Cells ◽  
Nuclear Organization ◽  
Critical Role ◽  
Quantitative Model ◽  
Mammary Epithelial ◽  
Cell Phenotype ◽  
Proliferating Cells ◽  
Mitotic Apparatus ◽  
Model Based

The extracellular matrix (ECM) plays a critical role in directing cell behaviour and morphogenesis by regulating gene expression and nuclear organization. Using non-malignant (S1) human mammary epithelial cells (HMECs), it was previously shown that ECM-induced morphogenesis is accompanied by the redistribution of nuclear mitotic apparatus (NuMA) protein from a diffuse pattern in proliferating cells, to a multi-focal pattern as HMECs growth arrested and completed morphogenesis . A process taking 10 to 14 days.To further investigate the link between NuMA distribution and the growth stage of HMECs, we have investigated the distribution of NuMA in non-malignant S1 cells and their malignant, T4, counter-part using a novel model-based image analysis technique. This technique, based on a multi-scale Gaussian blur analysis (Figure 1), quantifies the size of punctate features in an image. Cells were cultured in the presence and absence of a reconstituted basement membrane (rBM) and imaged in 3D using confocal microscopy, for fluorescently labeled monoclonal antibodies to NuMA (fαNuMA) and fluorescently labeled total DNA.

Sign in / Sign up

Export Citation Format

Share Document