№ 160(6), June, 2020
Public date: 30.06.2020
Archive of journal: Articles count 15, 43 kb
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Description
Protection of farm animals from diseases remains one of the priority tasks for veterinary practice. A healthy animal is the key to obtaining high sanitary quality of livestock products. Among the veterinary-sanitary and organizational-economic measures carried out for the prevention and control of infectious diseases, disinfection is of particular importance. In the laboratory of veterinary and sanitary expertise of VNIIVSGE-branch of the Federal State Budget Scientific Institution Federal Research Center of the Russian Academy of Medical Sciences, a new composite preparation “Hyponatum BPO” has been developed and is being tested. The studies found that the "Hyponat BPO" has a high disinfecting effect against gram-positive and gram-negative vegetative microflora, located on surfaces of various materials (wood, concrete, tile, stainless steel, plastic), both with the presence of protein protection, and without it
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EFFECTIVENESS OF USING MULTIKAN-6 WHEN GROWING YOUNG FOXES
Description
The cost-effectiveness of animal husbandry in the conditions of Yakutia causes irreparable damage to viral diseases, such as salmonellosis, viral hepatitis, parvovirus enteritis and others. Based on this, in animal husbandry, increased attention is paid to the prevention of viral diseases. The work was carried out in the period from 2009 to 2012. in the conditions of LLC "Pokrovskoye animal husbandry" of the Khangalassky ulus of the Sakha Republic (Yakutia). Boning of young animals showed that all his indicators were higher for pups born in 2011. So body size and physique are rated higher by 15.15%, in males - by 20.58%. Hair color was better in females by 19.44%, in males by 22.66%. As a result, the classiness of the animals of the experimental groups was higher than that of pups born in 2010. The commodity properties of the animal products of experimental animals and its cost are consistent with the results of the valuation. The offset on the quality of the fur products of the experimental groups in 2011 was determined at 89.02%, which is higher than the 2010 results by 10.32%. The average cost of one fur of a silver-black fox in 2011 was 2225.62 rubles. Additional vaccination of the main herd of foxes in autumn against the viral diseases with the vaccine "Multikan-6" has a positive effect on the quality of the fur products. The economic effect amounted to 258.62 rubles per 1 skin of a silver-black fox (at 2020 prices)
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08.00.13 Mathematical and instrumental methods of Economics
08.00.13 Mathematical and instrumental methods of Economics
Description
Traditionally, control decisions are made by solving repeatedly the forecasting problem for different values of control factors and choosing a combination of them that ensures the transfer of the control object to the target state. However, real control objects are affected by hundreds or thousands of control factors, each of which can have dozens of values. A complete search of all possible combinations of values of control factors leads to the need to solve the problem of forecasting tens or hundreds of thousands or even millions of times to make a single decision, and this is completely unacceptable in practice. Therefore, we need a decision-making method that does not require significant computing resources. Thus, there is a contradiction between the actual and the desired, a contradiction between them, which is the problem to be solved in the work. In this work, we propose a developed algorithm for decision-making by solving the inverse forecasting problem once (automated SWOT analysis), using the results of cluster-constructive analysis of the target states of the control object and the values of factors and a single solution of the forecasting problem. This determines the relevance of the topic. The purpose of the work is to solve the problem. By decomposing the goal, we have formulated the following tasks, which are the stages of achieving the goal: cognitive-target structuring of the subject area; formalization of the subject area (development of classification and descriptive scales and gradations and formation of a training sample); synthesis, verification and increasing the reliability of the model of the control object; forecasting, decision-making and research of the control object by studying its model. The study uses the automated system-cognitive analysis and its software tools (the intelligent system called "Eidos") as a method for solving the set tasks. As a result of the work, we propose a developed decision-making algorithm, which is applicable in intelligent control systems. The main conclusion of the work is that the proposed approach has successfully solved the problem
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TECHNOLOGY TRANSFER MODELS BETWEEN THE DEFENSE AND CIVIL SECTOR OF ECONOMY
08.00.13 Mathematical and instrumental methods of Economics
Description
The article considers the problem of increasing the efficiency of budget expenditures due to the transfer of military technology to the civilian sector of the economy. An analysis of foreign experience has shown that private companies are widely involved in a number of states to solve some of the infrastructure problems in the military sphere. In the USA, private companies provide communications and provide other information services to state power structures, which makes it possible to develop private business on the one hand and save budget expenses on the other. An analysis of domestic experience has shown that the use of military technologies for the production of civilian products and services in some cases can significantly save time and other resources. A model for the interaction of civilian companies with the defense complex and a diffusion model of military technologies have been developed. The article proposes creation of new structures that solve the problems of adapting military technologies to the requirements of civilian customers, as well as a database of adapted technologies and a technical investment center that supports small and medium-sized enterprises in the acquisition of equipment and technical documentation. The authors believe that the approaches proposed in the article to solving the problem of technology transfer will stimulate innovative activity in the country, reduce import dependence and increase the efficiency of budget expenditures
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PROBABILITY-STATISTICAL MODELS OF CORRELATION AND REGRESSION
08.00.13 Mathematical and instrumental methods of Economics
Description
The correlation and determination coefficients are widely used in statistical data analysis. According to measurement theory, Pearson's linear paired correlation coefficient is applicable to variables measured on an interval scale. It cannot be used in the analysis of ordinal data. The nonparametric Spearman and Kendall rank coefficients estimate the relationship of ordinal variables. The critical value when testing the significance of the difference of the correlation coefficient from 0 depends on the sample size. Therefore, using the Chaddock Scale is incorrect. When using a passive experiment, the correlation coefficients are reasonably used for prediction, but not for control. To obtain probabilistic-statistical models intended for control, an active experiment is required. The effect of outliers on the Pearson correlation coefficient is very large. With an increase in the number of analyzed sets of predictors, the maximum of the corresponding correlation coefficients — indicators of approximation quality noticeably increases (the effect of “inflation” of the correlation coefficient). Four main regression analysis models are considered. Models of the least squares method with a determinate independent variable are distinguished. The distribution of deviations is arbitrary, however, to obtain the limit distributions of parameter estimates and regression dependences, we assume that the conditions of the central limit theorem are satisfied. The second type of model is based on a sample of random vectors. The dependence is nonparametric, the distribution of the two-dimensional vector is arbitrary. The estimation of the variance of an independent variable can be discussed only in the model based on a sample of random vectors, as well as the determination coefficient as a quality criterion for the model. Time series smoothing is discussed. Methods of restoring dependencies in spaces of a general nature are considered. It is shown that the limiting distribution of the natural estimate of the dimensionality of the model is geometric, and the construction of an informative subset of features encounters the effect of "inflation coefficient correlation". Various approaches to the regression analysis of interval data are discussed. Analysis of the variety of regression analysis models leads to the conclusion that there is no single “standard model”
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