scholarly journals Thermodynamic Modeling of ZnO Chlorination by Chlorohydrocarbons by Using «Astra» Software

2010 ◽  
Vol 12 (2) ◽  
pp. 165
Author(s):  
V.M. Shevko ◽  
N.B. Badirova
Keyword(s):  
Maximum Entropy ◽  
Organic Synthesis ◽  
High Temperatures ◽  
Thermodynamic Modeling ◽  
National Bureau ◽  
Principle Of Maximum Entropy ◽  
Global Problems ◽  
Academy Of Sciences ◽  
Principle Of Maximum

The disposal and recycling of chlorohydrocarbons waste from organic synthesis which is annually produced at least 1,5 million tons is one of the global problems and is under the great UN's attention. Organochlorine residues are xenobiotics and adversely affect the environment.  Thermodynamic modeling of interactions in the systems ZnO-CHxCly (x + y= 4)-O2 for determination of the theoretical content of chlorohydrocarbons as chlorinating agents for extracting nonferrous metals from very concentrated ore is presented in this article. The studies were conducted using the "Astra" software based on the principle of maximum entropy. Infobase of the "Astra" complex contains information on 5547 compounds, 79 items codified in the National Bureau of Standards and the Joint Institute for High Temperatures, Russian Academy of Sciences.

scholarly journals To Be or to Have Been Lucky, That Is the Question

Philosophies ◽  
2021 ◽  
Vol 6 (3) ◽  
pp. 57
Author(s):  
Antony Lesage ◽  
Jean-Marc Victor
Keyword(s):  
High Risk ◽  
Maximum Entropy ◽  
Chronic Diseases ◽  
Statistical Test ◽  
Low Risk ◽  
Principle Of Maximum Entropy ◽  
Ex Ante ◽  
Social Opportunities ◽  
Global Population ◽  
Principle Of Maximum

Is it possible to measure the dispersion of ex ante chances (i.e., chances “before the event”) among people, be it gambling, health, or social opportunities? We explore this question and provide some tools, including a statistical test, to evidence the actual dispersion of ex ante chances in various areas, with a focus on chronic diseases. Using the principle of maximum entropy, we derive the distribution of the risk of becoming ill in the global population as well as in the population of affected people. We find that affected people are either at very low risk, like the overwhelming majority of the population, but still were unlucky to become ill, or are at extremely high risk and were bound to become ill.

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