Model-Based Simulation in Möbius: An Efficient Approach Targeting Loosely Interconnected Components

Computer Performance Engineering - Lecture Notes in Computer Science ◽

10.1007/978-3-319-66583-2_12 ◽

2017 ◽

pp. 184-198 ◽

Cited By ~ 2

Author(s):

Giulio Masetti ◽

Silvano Chiaradonna ◽

Felicita Di Giandomenico

Keyword(s):

Efficient Approach ◽

Model Based

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StatSTEM: An efficient approach for accurate and precise model-based quantification of atomic resolution electron microscopy images

Ultramicroscopy ◽

10.1016/j.ultramic.2016.08.018 ◽

2016 ◽

Vol 171 ◽

pp. 104-116 ◽

Cited By ~ 61

Author(s):

A. De Backer ◽

K.H.W. van den Bos ◽

W. Van den Broek ◽

J. Sijbers ◽

S. Van Aert

Keyword(s):

Electron Microscopy ◽

Atomic Resolution ◽

Efficient Approach ◽

Model Based ◽

Resolution Electron ◽

Microscopy Images

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An Efficient Approach for Model Based Test Path Generation

International Journal of Information and Education Technology ◽

10.7763/ijiet.2015.v5.607 ◽

2015 ◽

Vol 5 (10) ◽

pp. 763-767

Author(s):

Aye Aye Kyaw ◽

◽

Myat Myat Min ◽

Keyword(s):

Path Generation ◽

Efficient Approach ◽

Model Based

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Database and new models based on a group contribution method to predict the refractive index of ionic liquids

Physical Chemistry Chemical Physics ◽

10.1039/c7cp03214e ◽

2017 ◽

Vol 19 (30) ◽

pp. 19967-19974 ◽

Cited By ~ 6

Author(s):

Xinxin Wang ◽

Xingmei Lu ◽

Qing Zhou ◽

Yongsheng Zhao ◽

Xiaoqian Li ◽

...

Keyword(s):

Refractive Index ◽

Ionic Liquids ◽

Group Contribution ◽

Group Contribution Method ◽

Ann Model ◽

Efficient Approach ◽

Model Based ◽

New Models

The GC-ANN model, based on the division of new groups, was an efficient approach for estimating the refractive index of ILs.

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Representation, abstraction, and simple-minded sophisticates

Behavioral and Brain Sciences ◽

10.1017/s0140525x19002942 ◽

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.

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

Microscopy and Microanalysis ◽

10.1017/s1431927600028968 ◽

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.

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