Influence of Water Factor on the Incidence (XI, XIV, XIV) Classes of Diseases Among Adult Population in the Rural Taxons

Purpose of research: correlation analysis influence of some indicators of drinking water quality (total hardness, dry residue, Cl-, SO4-, salts of Ca, Mg, F, Al, Fe, Zn, Cu, Mn, nitrogen ammonia, nitrites, pH, nitrates, oxidation) to the incidence (XI, XIV, XIV) classes of diseases among adult population in the rural taxons of Dnipropetrovsk region for 2008 - 2013 years. Materials and Methods. Statistical processing and analysis results of research carried out by the medical statistical methods. Evaluation of the relationship between variables was carried out by coefficients of Spearman's rank correlation (r). Research methods: sanitary-toxicological, physical-chemical (for definition indicators of potable water quality from decentralized water supply sources); medico - statistical (mathematical processing obtained quantitative indicators, methods of variation statis­tics). Results of research and Discussion. In the local water sources from some rural taxons was shown, that salt arthropathy among adults was weakly correlated with all inorganic substances, except: pH + F + oxidability (r=0.01-0.28, p < 0.05). A similar trend was observed between salt arthropathy, which was correlated with all inorganic substances, except nitrate + oxidability (r= 0.03, p < 0.05). Weak correlation had been shown between a combined effect in water pH + F + nitrates and incidence of the stones of kidney and ureter diseases at the adult population (r=0.03, p <0.05)

Mathematical software for the synthesis of domestic catalyst of ethylene acetoxylation process

We have created a mathematical model of the catalyst carrier of the process of ethylene acetoxylation for synthesis of vinyl acetate take into account the physical parameters of the catalyst carrier and chemical composition of the catalyst. We have solved the following problems: the problem of optimization of the physical parameters of the catalyst carrier; the problem of multi-objective constrained optimization of chemical composition of the catalyst. This optimization allows maximizing the selectivity and the activity of the catalyst and minimizing the content of gold and palladium. These problems have been solved through nonlinear programming methods