Results from an Early Polarization Model Based on Maxwell's Invariant Multipole Form

Mihaly Mezei

doi:10.1021/ct700130v

Thin film polarization model based on inhomogeneous repartition of localized electronic states

Thin Solid Films ◽

10.1016/0040-6090(82)90484-9 ◽

1982 ◽

Vol 89 (1) ◽

pp. 89-94

Author(s):

A.S. Barrière ◽

J. Pichon ◽

J. Salardenne

Keyword(s):

Thin Film ◽

Electronic States ◽

Polarization Model ◽

Model Based

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The party supporters structure transformation

Sociologija ◽

10.2298/soc0201001m ◽

2002 ◽

Vol 44 (1) ◽

pp. 1-24

Author(s):

Srecko Mihailovic

Keyword(s):

Political Parties ◽

European Countries ◽

Structure Transformation ◽

Polarization Model ◽

Model Based ◽

Actual Effectiveness ◽

Communist Countries ◽

West European ◽

Slobodan Milosevic

This article deals with a description of the party supporters structure transformation in Serbia during political changes that occurred in 1990 and 2000 (the moments when Slobodan Milosevic came into power and was overthrown) as well as with explanation of reasons for establishing such a structure. The dominant interpretation of reasons for appearing and structuring of political parties as well as voters determination has been the polarization model based on the study of S. M. Lipset and S. Rokan (1967). In connection to the polarization model, three groups of problems can be distinguished: (1) the actual effectiveness of the model in West European countries; (2) the actual effectiveness of the model in post-communist countries, that is in countries who experienced a break in their multiparty system, and (3) the actual effectiveness of the model in Serbia.

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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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