Validity of the hard-sphere mixture model for sterically stabilised colloids: a critical viewpoint

2004 ◽  
pp. 102-107
Author(s):  
P. Germain ◽  
M. Bouaskarne ◽  
J-G. Malherbe ◽  
C. Regnaut ◽  
S. Amokrane
Keyword(s):  



2007 ◽  
Vol 07 (02) ◽  
pp. L163-L167
Author(s):  
SUPURNA SINHA

We study jamming in granular mixtures from the novel point of view of extended hydrodynamics. Using a hard sphere binary mixture model we predict that a few large grains are expected to get caged more effectively in a matrix of small grains compared to a few small grains in a matrix of larger ones. A similar effect has been experimentally seen in the context of colloidal mixtures.



1979 ◽  
Vol 71 (9) ◽  
pp. 3620-3635 ◽  
Author(s):  
John Karkheck ◽  
G. Stell


1997 ◽  
Vol 91 (4) ◽  
pp. 625-634 ◽  
Author(s):  
GERARDO OROZCO ◽  
OREST PIZIO ◽  
STEFAN SOKOLOWSKI ◽  
ANDRIJ TROKHYMCHUK


1997 ◽  
Vol 92 (2) ◽  
pp. 211-228 ◽  
Author(s):  
R.J. F. LEOTE DE CARVALHO ◽  
R. EVANS
Keyword(s):  


1998 ◽  
Vol 95 (2) ◽  
pp. 131-135 ◽  
Author(s):  
DOUGLAS HENDERSON DEZSO BODA KWONG-YU CHAN
Keyword(s):  


1998 ◽  
Vol 77 (5) ◽  
pp. 1441-1447
Author(s):  
S. Rabinovich, E. Brook-Levinson, E. Z


VASA ◽  
2008 ◽  
Vol 37 (Supplement 73) ◽  
pp. 26-32 ◽  
Author(s):  
Schlattmann ◽  
Höhne ◽  
Plümper ◽  
Heidrich

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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