Mathematical modeling and simulations of membrane bioreactor extractive fermentations

1990 ◽  
Vol 6 (5) ◽  
pp. 362-369 ◽  
Author(s):  
D. E. Steinmeyer ◽  
M. L. Shuler
Keyword(s):  
Mathematical Modeling ◽  
Membrane Bioreactor ◽  
Modeling And Simulations

Mathematical modeling of a time-dependent extractive membrane bioreactor for denitrification of drinking water

Desalination ◽  
2012 ◽  
Vol 289 ◽  
pp. 58-65 ◽  
Author(s):  
Hamidreza Sanaeepur ◽  
Omolbanin Hosseinkhani ◽  
Ali Kargari ◽  
Abtin Ebadi Amooghin ◽  
Ahmadreza Raisi
Keyword(s):  
Mathematical Modeling ◽  
Drinking Water ◽  
Membrane Bioreactor ◽  
Time Dependent

A review on phase-change materials: Mathematical modeling and simulations

2011 ◽  
Vol 15 (1) ◽  
pp. 112-130 ◽  
Author(s):  
Yvan Dutil ◽  
Daniel R. Rousse ◽  
Nizar Ben Salah ◽  
Stéphane Lassue ◽  
Laurent Zalewski
Keyword(s):  
Mathematical Modeling ◽  
Phase Change ◽  
Phase Change Materials ◽  
Modeling And Simulations

Computational Modeling and Simulations in Life Sciences

2013 ◽  
Vol 2 (2) ◽  
pp. 1-7
Author(s):  
Athina Lazakidou ◽  
Maria Petridou ◽  
Dimitra Iliopoulou
Keyword(s):  
Mathematical Modeling ◽  
Protein Expression ◽  
Medical History ◽  
Human Life ◽  
Life Sciences ◽  
Life Time ◽  
Experimental Methods ◽  
Modeling And Simulations ◽  
Molecular Fingerprints ◽  
Tissue Samples

Billions of math operations per second may be performed by computers anymore. Obviously, a human life-time would be needed to do the same number of computations. When used in medication, the groundbreaking potential of the mathematical modeling approach is obvious. In Medicine, mathematical modeling is able to vastly improve both drug creation and clinic technology. Progress in technology and the development of new experimental methods has had a noteworthy effect on the study of disease. This has raised new researching opportunities, such as: gathering in-depth ‘molecular fingerprints’ from patients carrying information, for example, on genotype, gene or protein expression, or metabolism levels; studying intracellular processes in living and diseased tissue through the control of gene activity inside the cells; and creating understandable illness-specific databases that include both patients’ medical history with laboratory and clinical data in addition to storing useful tissue samples. In this article, the authors attempt to provide the readers with a view of current and future use of mathematical modeling in medicine.

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