Boehmite Dissolution Model Based on Simulant Data

2010 ◽  
Vol 49 (10) ◽  
pp. 4542-4545 ◽  
Author(s):  
Renee L. Russell ◽  
Reid A. Peterson
Keyword(s):  
Model Based ◽  
Dissolution Model

scholarly journals Developing a predictive in vitro dissolution model based on gastrointestinal fluid characterisation in rats

2019 ◽  
Vol 142 ◽  
pp. 307-314 ◽  
Author(s):  
Juliane Fjelrad Christfort ◽  
Sophie Strindberg ◽  
Jakob Plum ◽  
Jonatan Hall-Andersen ◽  
Christian Janfelt ◽  
...  
Keyword(s):  
In Vitro Dissolution ◽  
Model Based ◽  
Gastrointestinal Fluid ◽  
Dissolution Model

scholarly journals The Dissolution Anisotropy of Pyroxenes: Experimental Validation of a Stochastic Dissolution Model Based on Enstatite Dissolution

2020 ◽  
Vol 124 (5) ◽  
pp. 3122-3140 ◽  
Author(s):  
Arnaud Bouissonnié ◽  
Damien Daval ◽  
François Guyot ◽  
Philippe Ackerer
Keyword(s):  
Experimental Validation ◽  
Model Based ◽  
Dissolution Model

Study on Integral Dissolution Model Based on Biological Potency for Compound Chinese Materia Medica

2015 ◽  
Vol 7 (2) ◽  
pp. 143-149
Author(s):  
Yun-zhi Xiao ◽  
Yuan Dong ◽  
Chao-yong Liu ◽  
Li-hong Zhang ◽  
Chao Yu ◽  
...  
Keyword(s):  
Chinese Materia Medica ◽  
Materia Medica ◽  
Model Based ◽  
Dissolution Model ◽  
Biological Potency

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.

Model-Based Clustering and Classification for Data Science

2019 ◽  
Author(s):  
Charles Bouveyron ◽  
Gilles Celeux ◽  
T. Brendan Murphy ◽  
Adrian E. Raftery
Keyword(s):  
Data Science ◽  
Model Based Clustering ◽  
Model Based ◽  
Clustering And Classification

Model-Based Software Testing and Analysis with C#

2007 ◽  
Author(s):  
Jonathan Jacky ◽  
Margus Veanes ◽  
Colin Campbell ◽  
Wolfram Schulte
Keyword(s):  
Software Testing ◽  
Model Based
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