№ 160(6), June, 2020
Public date: 30.06.2020
Archive of journal: Articles count 15, 43 kb
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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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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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Description
The article demonstrates the results of therapeutic and preventive effectiveness of the use of lactic acid bacteria – Lactobacillus brevis and Lactobacillus parabuchneri in laboratory animals, in particular mice and rats. They were isolated from the gastrointestinal tract of a wild quail in experimental violation of the intestinal microbial background. Artificial imbalance of the intestinal microbiota of experimental animals was caused by the use of the antibiotic. As a result of tests it was established that the application of probiotic cultures improved microbial disorders of the gut, however, the use of their consortium in the probiotic promoted consistent clinical result characterized by an elevated level of representatives of the normal flora (lacto- and bifidobacteria) and reduction of the number of representatives of pathogenic and conditionally pathogenic microbiota, with subsequent achievement of a level characteristic of healthy animals
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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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06.01.05 Selection and seed production of agricultural plants (agricultural sciences)
TO THE 100TH ANNIVERSARY OF N. I. VAVILOV’S RULE ON HOMOLOGICAL SERIES IN HEREDITARY VARIABILITY
06.01.05 Selection and seed production of agricultural plants (agricultural sciences)
Description
100 years ago, on June 4, 1920, 32-year-old Professor of the Saratov University Nikolai Ivanovich Vavilov (1887-1943) first reported at the III all-Russian selection Congress at the University of Saratov on his discovery of homological series in the study of parallelisms in the phenomena of hereditary variability by analogy with homological series of organic compounds. This discovery in genetics received the rank of law, the only one after the laws of G. Mendel. This major study was a further development of the genetic idea of C. Darwin on the origin of species. It showed the ways in which close species and genera of plants have a parallel formative process, because the crucial in the process of evolutionary development of living organisms – first of all, their genetic features. In cases where the development of a trait requires the joint and consistent action of many genes, the occurrence of homological series is inevitable, and this does not contradict the random variability of C. Darwin. In addition to its great genetic significance as a law of evolution, the law of homological series in hereditary variability is of great importance for botanists, plant breeders and breeders: it not only determines the place of each form in the plant world, but can also indicate to the breeder possible directions in his practical work. According to a number of geneticists and breeders, if G. Mendel discovered the rules of heredity, then N. I. Vavilov discovered the rules of variability
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06.01.01 General agriculture, crop production (agricultural sciences)
06.01.01 General agriculture, crop production (agricultural sciences)
Description
The work shows the effect of the Regalis preparation on the formation and biochemical composition of organs of apple tree plants (using the Gala variety as an example). Experiments were carried out in 2016-2019. Field experiments were carried out in JSC company "Agrocomplex" named after N.I. Tkachev in the Vyselkovsky district. Planting bookmark - 2007. Tree planting scheme 4.0 × 1.0 m., Irrigation - drip. The soil of the study area is ordinary chernozem (carbonate). It was found that under the action of treatments with the Regalis preparation significant changes are recorded in the structure of fouling wood and the area of the sheet apparatus. The use of a growth regulator helps to accelerate the completion of tree growth processes. This is evidenced by a decrease in the content of IAA in the tops of shoots, by 12% in comparison with the control. The “Regalis” had a significant impact on ensuring the stable fruiting of plants of the Gala apple tree. The annual one-three-time treatment of trees with this preparation in a dose of 1.25 kg / ha provided a stable increase in yield to 14.2-16.3 kg from one tree. Moreover, on average for four years, the best results were recorded in the variant with 2-fold treatment with Regalis (16.3 kg-tree). Further analysis of the yield and commercial qualities of the obtained fruits showed that two and three-fold processing contributed to the production of fruits from 38.5 to 40.8 t / ha, which is 10-11.7 t higher than the control, while increasing the yield of marketable fruits up to 13.3 - 14.0 tons
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YIELD OF WINTER BARLEY OF VOLZHSKY PERVIY VARIETY DEPENDING ON DIFFERENT SOWING RATES
06.01.01 General agriculture, crop production (agricultural sciences)
Description
The article studies the effects of different sawing rates of witer barley on crop yield. The studies were conducted on the experimental field of the Federal State Educational Institution of Higher Education in the Nizhny Novgorod State Agricultural Academy at the Novinki training experimental establishment from 2015 to 2018 on light gray forest soils. The object of research was Volzhsky Perviy variety of winter barley. We studied different sowing rates: 2, 3, 4, 5, 6, and 7 million germinating seeds per 1 hectare. The predecessor was clean fallow. On average, over 3 years of research, we observed the seeds field germination rate of 84.0-84.5%. The survival rate of plants at harvest was quite satisfactory 51.4-69.3%. We have noticed that an increase in the seeding rate from 2 to 7 million units / ha has led to a decrease in survival rate of plants by 17.9%. The highest grain yield in the experiment - 4.47 t / ha was obtained at a sowing rate of 6 million germinating seeds per 1 ha. An increase in the seeding rate from 2.0 to 7.0 million germinating seeds per 1 ha has led to an increase in the density of the productive stalk from 252 to 367 pcs / m2. The number of grains per spike in the study varied within a narrow range from 38 to 39 pieces, whereas the weight of 1000 grains varied from 32.7 to 33.8 g. We observed high spike productivity from 1.260 to 1.303 g due to the high number of grains per spike. Volzhsky Perviy variety of winter barley, showed good tillering ability when cultivated in the conditions of the Nizhny Novgorod region. The coefficient of total tillering capacity varied from 2.03 to 2.78, whereas the productive tillering capacity varied from 1.99 to 1.42
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PRODUCTIVITY OF SUGAR CORN DEPENDING ON NITROGEN FERTILIZERS
06.01.01 General agriculture, crop production (agricultural sciences)
Description
The article gives a review of the results of studying the features of the formation of sugar corn grain yield depending on the application of nitrogen mineral fertilizers used for sowing and fertilizing. The object of research was the mid-early hybrid of corn called Krasnodarsky Sakharny 280 SV (FAO 280). In the experiment, 2 factors were studied: factor Ā - sowing nitrogen fertilizer (b / ud (k), 15 and 30 kg.d.v. / ha), factor B - root nitrogen fertilizing (b / ud (k), 15 and 30 kg.dv./ha). The total area of the plot is 20 m2, the accounting area is 10 m2. The number of rows in the plot is only 4, including accounting - 2. The plots are systematically placed. In the fall, the main mineral fertilizer was applied at a dose of N30P60K60, under the main tillage - plowing to a depth of 25-27 cm. Four-fold repetition. The predecessor is winter wheat. The counts and observations in the experiment were carried out according to generally accepted methods. Studies have established that the highest yield of ears of sugar corn in milk ripeness - 14.60 and 14.71 t / ha, respectively, was obtained on options with the addition of N30 when sowing + N15 or N30 in root dressing. A further increase in the dosage of nitrogen to 60 kg.d.v./ha does not lead to an increase in yield. The highest level of profitability was obtained with the option of sowing nitrogen fertilizer at a dose of 30 kg.d.v / ha in combination with nitrogen for top dressing at a dose of 15 kg.d.v / ha (N30 + N15)
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