Combining random walk and regression models to understand solvation in multi-component solvent systems
نویسندگان
چکیده
منابع مشابه
Solubility and solvation in mixed solvent systems
The solubility of solutes in mixed solvents depends primarily on the solvation of the solutes or their constituent ions by the components of the solvent mixtures. Complications may arise if different crystal solvates are formed or if solute-solute interactions are appreciable. In their absence the standard molar Gibbs energies of solution measure the corresponding quantities of solvation, ASOIV...
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Objective: The main objective of this research was estimation of genetic parameters for five consecutive measurements of egg weights in Isfahan fowl using multi trait model and random regression models. Methods: The statistical models included generation-hatch as a fixed effect, weeks of age as a covariate and additive genetic and individual permanent environmental effects as random effects. Th...
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Objective: The main objective of this research was estimation of genetic parameters for five consecutive measurements of egg weights in Isfahan fowl using multi trait model and random regression models. Methods: The statistical models included generation-hatch as a fixed effect, weeks of age as a covariate and additive genetic and individual permanent environmental effects as random effects. Th...
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We consider a Markovian l-unit system which is subject to shocks causing it to deteriorate in each of its stochastically dependent components. The net reward produced by the system is assumed to be an l-dimensional function of the amounts of deterioration of the components. After every shock the controller has the option to replace the system by a new one. The objective is to maximize the long-...
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ژورنال
عنوان ژورنال: Physical Chemistry Chemical Physics
سال: 2017
ISSN: 1463-9076,1463-9084
DOI: 10.1039/c7cp02873c