Chemically Authentic Surrogate Mixture Model for the Thermophysical Properties of a Coal-Derived Liquid Fuel

2008 ◽  
Vol 22 (5) ◽  
pp. 3249-3257 ◽  
Author(s):  
M. L. Huber ◽  
E. W. Lemmon ◽  
V. Diky ◽  
B. L. Smith ◽  
T. J. Bruno
Keyword(s):  
Mixture Model ◽  
Thermophysical Properties ◽  
Liquid Fuel ◽  
Surrogate Mixture

Preliminary Surrogate Mixture Models for the Thermophysical Properties of Rocket Propellants RP-1 and RP-2

2009 ◽  
Vol 23 (6) ◽  
pp. 3083-3088 ◽  
Author(s):  
M. L. Huber ◽  
E. W. Lemmon ◽  
L. S. Ott ◽  
T. J. Bruno
Keyword(s):  
Mixture Models ◽  
Thermophysical Properties ◽  
Rocket Propellants ◽  
Surrogate Mixture

Surrogate Mixture Models for the Thermophysical Properties of Aviation Fuel Jet-A

2010 ◽  
Vol 24 (6) ◽  
pp. 3565-3571 ◽  
Author(s):  
M. L. Huber ◽  
E. W. Lemmon ◽  
T. J. Bruno
Keyword(s):  
Mixture Models ◽  
Thermophysical Properties ◽  
Aviation Fuel ◽  
Fuel Jet ◽  
Surrogate Mixture

scholarly journals Experimental study of thermophysical properties of gasoline oil fractions

2021 ◽  
Vol 285 ◽  
pp. 07033
Author(s):  
M. I. Chebotaryev ◽  
P. M. Kharchenko
Keyword(s):  
Experimental Study ◽  
Thermophysical Properties ◽  
Liquid Fuel ◽  
Petroleum Products ◽  
Quality Parameter ◽  
Oil Refining ◽  
Oil Fractions ◽  
Technical Systems ◽  
Pumping Equipment ◽  
Mass Volume

Important physical properties, that characterize a substance, are the density and pressure of saturated vapors (PSV). These parameters need to be known when developing new technological processes in oil refining and chemical industries, designing pipelines, pumping equipment, fuel equipment, hydraulic cleaning processes, calculations related to the amount of petroleum products in mass volume, when operating technical systems running on liquid fuel. For gasoline fractions, the density is a normalized quality parameter, it is an integral part of various combined constants and calculation formulas.

The association of Raynaud’s phenomenon/syndrome with scleroderma and Sjögren’s syndrome – a meta-analysis

VASA ◽  
2008 ◽  
Vol 37 (Supplement 73) ◽  
pp. 26-32 ◽  
Author(s):  
Schlattmann ◽  
Höhne ◽  
Plümper ◽  
Heidrich
Keyword(s):  
Quantitative Analysis ◽  
Sjögren’S Syndrome ◽  
Mixture Model ◽  
Sjögren's Syndrome ◽  
Meta Analysis ◽  
Sjogren’S Syndrome ◽  
Sjogren's Syndrome ◽  
Raynaud’S Syndrome ◽  
Raynaud's Syndrome ◽  
Sjögren‘S Syndrome

Background: In order to analyze the prevalence of Raynaud’s syndrome in diseases such as scleroderma and Sjögren’s syndrom – a meta-analysis of published data was performed. Methods: The PubMed data base of the National Library of Medicine was used for studies dealing with Raynaud’s syndrome and scleroderma or Raynaud’s syndroem and Sjögren’s syndrom respectively. The studies found provided data sufficient to estimate the prevalence of Raynaud’s syndrome. The statistical analysis was based on methods for a fixed effects meta-analysis and finite mixture model for proportions. Results: For scleroderma a pooled prevalence of 80.9% and 95% CI (0.78, 0.83) was obtained. A mixture model analysis found four latent classes. We identified a class with a very low prevalence of 11%, weighted with 0.15. On the other hand there is a class with a very high prevalence of 96%. Analysing the association with Sjögren’s syndrome, the pooled analysis leads to a prevalence of Raynaud’s syndrome of 32%, 95% CI(26.7%, 37.7%). A mixture model finds a solution with two latent classes. Here, 38% of the studies show a prevalence of 18.8% whereas 62% observe a prevalence of 38.3%. Conclusion: There is strong variability of studies reporting the prevalence of Raynaud’s syndrome in patients suffering from scleroderma or Sjögren’s syndrome. The available data are insufficient to perform a proper quantitative analysis of the association of Raynaud’s phenomenon with scleroderma or Sjögren’s syndrome. Properly planned and reported epidemiological studies are needed in order to perform a thorough quantitative analysis of risk factors for Raynaud’s syndrome.

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