A framework model based on the Smoluchowski equation in two reaction coordinates

2004 ◽  
Vol 121 (13) ◽  
pp. 6134-6144 ◽  
Author(s):  
Mark F. Schumaker ◽  
David S. Watkins
Keyword(s):  
Smoluchowski Equation ◽  
Reaction Coordinates ◽  
Model Based ◽  
Framework Model

A software service framework model based on agent

2002 ◽  
Vol 7 (1) ◽  
pp. 20-26 ◽  
Author(s):  
He Yan-xiang ◽  
Li Xu-hui ◽  
Lu Hui ◽  
Zhu Xiao-feng
Keyword(s):  
Model Based ◽  
Framework Model ◽  
Software Service ◽  
Service Framework

scholarly journals THE ELEMENTS OF COOPERATIVE GOVERNANCE MODEL IN MALAYSIA

2021 ◽  
Vol 3 (9) ◽  
pp. 58-74
Author(s):  
Rusman Ghani ◽  
Ram Al Jaffri Saad ◽  
Shafawaty Mohamad Shabri ◽  
Muhammad Syahir Abd Wahab ◽  
Mohamad Zulkurnai Ghazali
Keyword(s):  
Quantitative Research ◽  
Additional Information ◽  
Model Based ◽  
Cooperative Development ◽  
Governance Model ◽  
The Social ◽  
Framework Model ◽  
Spss Software ◽  
National Cooperative ◽  
Cooperative Governance

The contribution of the cooperative sector in Malaysia to the country's Gross Domestic Product (GDP) is still at an unsatisfactory level. Some reports state that the country's GDP was only achieved between 3% to 4% until 31 December 2019 compared to the target of 10% as set in the National Cooperative Policy (NCP) 2011-2020. Based on NCP 2011-2020, one of the achievements that contribute to the increase in GDP is good regulation and governance. The same achievement strategy is continued in the fourth strategic thrust proposal of NCP 2021-2030, which is to create effective regulation. Therefore, to solve the problems of the study, the objectives of the study is to identify the elements of cooperative governance model based on cooperative governance guidelines in Malaysia and investigate the effect of cooperative governance model based on cooperative governance guidelines on cooperative performance in Malaysia. This study will use quantitative research method to achieve the objectives that have been set, namely questionnaire techniques and content analysis. Validation of the study framework model will be conducted using quantitative analysis techniques using Statistical Package for the Social Sciences (SPSS) software. The expected output of the study is the Cooperative Governance Model that can be referred to by the Ministry of Entrepreneur and Cooperative Development (MEDAC) and government agencies such as the Malaysian Cooperative Commission (MCC), Malaysian Cooperative Institute and other cooperatives. The significant results of this study are expected to provide input to the MCC related to the elements of good cooperative governance and can be used as additional information to be disseminated to cooperatives in Malaysia. The improvement in the achievement of cooperative governance is expected to contribute to the increase in cooperative revenue which in turn achieves the target contribution to the national GDP.

scholarly journals Partial information framework: Model-based aggregation of estimates from diverse information sources

2017 ◽  
Vol 11 (2) ◽  
pp. 3781-3814 ◽  
Author(s):  
Ville A. Satopää ◽  
Shane T. Jensen ◽  
Robin Pemantle ◽  
Lyle H. Ungar
Keyword(s):  
Information Sources ◽  
Partial Information ◽  
Model Based ◽  
Framework Model ◽  
Information Framework

The Design and Realization of Cloud Computing Framework Model Based on SOA

2010 ◽  
Vol 171-172 ◽  
pp. 696-701
Author(s):  
Liang Shuang
Keyword(s):  
Cloud Computing ◽  
Service Oriented Architecture ◽  
Component Model ◽  
Internet Applications ◽  
Model Based ◽  
Framework Model ◽  
Service Oriented ◽  
Computing Framework ◽  
Infrastructure Services ◽  
Software Services

Cloud computing is a system which provide hardware services, infrastructure services, platform services, software services, storage services to a variety of Internet applications, and SOA is a component model, it will rely on well-defined interfaces between services and linked contract applications. In this paper, combined cloud computing and SOA together closely to form a cloud computing framework model based on SOA, So that the clouds provide in a simple and flexible way to offer services. And it gives a realization of the model. Experiments show that the model is simple, practical and fully reflects the cloud computing and service-oriented architecture advantages.

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.

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