Principal component transport in turbulent combustion: A posteriori analysis

2015 ◽  
Vol 162 (5) ◽  
pp. 1919-1933 ◽  
Author(s):  
Tarek Echekki ◽  
Hessam Mirgolbabaei
Author(s):  
Farah Dernaika ◽  
Nora Cuppens-Boulahia ◽  
Frédéric Cuppens ◽  
Olivier Raynaud

2017 ◽  
Vol 923 ◽  
pp. 012028
Author(s):  
A Cimarelli ◽  
A Leonforte ◽  
M Franciolini ◽  
E De Angelis ◽  
D Angeli ◽  
...  

Author(s):  
Sergey Maksimov ◽  
Natalia Karamnova ◽  
Svetlana Shalnova ◽  
Oksana Drapkina

An empirical assessment of diets using a posteriori analysis allows us to define actual dietary patterns (DPs) in the food consumption structure of a population. This study represents an a posteriori assessment of DPs for the Russian population in general as well as their dependence on socio-demographic and regional parameters. The data were obtained from 21,923 individuals aged 25–64 years old from a Russian multicenter study of “Epidemiology of Cardiovascular Diseases in the Regions of the Russian Federation” conducted in 2013–2014. Cross-sectional study subjects were interviewed face-to-face in order to obtain data on their diet. DPs were defined using principal component analysis. Four DPs were specified as “Rational”, “Salt”, “Meat”, and “Mixed”; all these variants together accounted for 55.9% of variance. Diets in gender and age groups corresponded to those for an all-Russian population; in several regions, the defined diets differed from the all-Russian ones. More favorable diet trends were observed among women, people with no family, people not working, and urban dwellers, and diet trends were more favorable with an increase in age, level of education, and material wealth. Thus, a posteriori DPs were defined for the Russian population, which were stable in sex/age groups and were mediated by the socio-demographic characteristics of the population.


2013 ◽  
Vol 55 (6) ◽  
Author(s):  
Mark Strembeck ◽  
Stefanie Rinderle-Ma

AbstractIn this paper, we motivate the need to perform a posteriori analyzes for process-related security properties. In particular, we first discuss the relation of security engineering and a-posteriori techniques. Subsequently, we give an overview of different a-posteriori techniques for analyzing organizational structures and access control policies. Finally, we provide a discussion on application scenarios for different a-posteriori techniques.


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