Scientific Journal of KubSAU

To increase the validity of conclusions about the impact of environment on quality of life we need to move from generalities to the application of quantitative modeling techniques. This requires the joint processing environmental databases and databases depicting various aspects of quality of life. These databases need to be handled not just together, but in a comparable form approach, technology and methodology; and we need to implement them in one software system. For the first time in the environmental studies it has been planned to be done with the application of the ASK- analysis and the system called "Eidos". In this work, we set the goals and the objectives of the application of the ASK-analysis to study the effect of environmental factors on the quality of life of the population of the region. The article reveals the urgency of this study; the requirements for the method of conducting the study, the choice of research method, the contents of the objectives of the study. The proposed work is at the edge of mathematical ecology and mathematical modeling of quality of life (which refers to mathematical and instrumental methods of Economics), resulting from expected synergies, consists in obtaining of new knowledge in these fields, that is relevant to both ecology and economy. This knowledge will make it more meaningful and justified for the application of environmental criteria and concepts in the economy

The article describes the process of developing the two-level technique for assessment of the missed benefit during the landing and cultivation of perennial plantings. The technique is developed for the enterprises where the cycle of production of raw materials breaks into several periods until the first harvest. The choice problem of the most suitable grades for the landing is relevant for such enterprises. The first level of the two-level technique assumes assessment of qualitative and quantitative characteristics of grades with use of such tools as the theory of fuzzy sets and the decisions tree. The results of the first level are entrance data for the second level where there is final assessment of a grade and determination of the missed benefit rather potentially possible at the choice of the recommended grade. In the article also designated the importance of the raw materials stage for the technological chain. It is shown that, being consecutive structure, the technological chain strongly depends on the first stage – a stage of raw materials production. Minimization of the risk situations at the first stage promotes strengthening of the general risk tolerance of a technological chain

In this article, the general structure of technologically complete production chain of the integrated production system of agroindustrial complex was considered. Three different variants of creation of the production chains are described. The main distinctions in activity of chains consist in a source of raw materials. Any technologically full vertical chain includes three stages – production of raw materials, storage and processing, realization. Each of stages is characterized by different situations of the risk. Stages of process of functioning of a production chain were considered in this article. Also, the qualitative analysis of risk for all stages is made and the results of this analysis are considered. Results of this analysis became a basis for improvement of stream model for determination of efficiency of the technological chain taking into account a risk component. In the article, the algorithm of an assessment of efficiency of the technological chain of the integrated production system taking into account a risk component at the stage of creation of a material stream is also described

The modern approach for the assessment the client's solvency for loaning is considered in the article.This approach explains the use of scoring models to optimize the decision-making process for the loan request. The approach to systematize the credit scoring with descriptions of new methods, models and toolkits making it possible to increase opportunities of the assessment and analysis is recommended with the experiment is recommended

The purpose of research – the development of models and methods of multiparametrical diagnostic the research activities of scientific and pedagogical collectives of educational institutions. The problematics of research is improving the quality and productivity (the efficiency) of research activities in educational institutions. The problem of research is the question of how to objectively and comprehensively (in a complex) diagnose the research activities of scientific and pedagogical collectives? The urgency of solving specified problem is caused by the need to ensuring a close relationship between research, methodological and educational activities in educational institutions. We have also to consider the increasing role of clusters in the Russian economy, cooperation and integration levels (steps) a system of continuous education, etc. The authors identified the parameters reflecting significance of research activities of the scientific and the pedagogical collectives for the scientific and educational community (social megaenvironmental). When allocating indicators the authors took into account that science - the social and cultural phenomenon and the social institution, and the most important aspect of the significance of the research activity - in the innovative development of various spheres of human activity. The applied methods of research: mathematical modeling; methods of the theory of graphs, sets and relations; methods of "artificial intelligence" and the multi-parameter analysis of systems; methods of quality control (theory of latent variables). Methodological bases of research: systemic, cultural, competence, metasystem, sociological, qualimetric and synergetic approaches

In the article we have reflected a relationship between the parameters of the research activities of scientific and pedagogical collectives and the characteristics of the educational environment in higher education. It is known that the research activities of scientific and pedagogical workers and teams - an integral part functioning of the higher education institution (and improving its efficiency is one of the most important problems). The authors proved that parameters reflecting research activity of scientific and pedagogical higher education of institution employees characterize the aspects of the educational environment as its latitude, intensity, social activity, coherence, mobility, stability, reliability and efficiency. It is caused by the fact that the research activities of scientific and pedagogical workers - a multifaceted social and cultural phenomenon. The idea of the diagnosis of the educational environment of a higher educational institution and its structural units, based on an assessment of scientometric indicators (criteria for research productivity), can be completely suitable for international and Russian requirements: the well-known Shanghai procedure shifts the emphasis on the evaluation of various aspects of the research activities in higher education; serious attention to assessing the research activity focuses and Russian technique diagnostic efficiency of higher education institutions. This is logical and soundly: if the educational environment of a higher educational institution is not a center of science, then it cannot have effectively and competitive graduates, because Research and pedagogical staff - the governing factor in the educational process. Based on previously developed models of research activities in scientific and pedagogical collectives, as well as on generally accepted models of educational environments, the authors have proposed a method for the diagnosis of the educational environment, based on an assessment of scientometric indicators - parameters reflecting the impact of the research activities of scientific and pedagogical workers. Obtained results may be the theoretical basis for further scientific understanding of the problem of increasing the productivity of research activities in higher education, as well as problems - increasing the competitiveness of educational environments. The practical significance of the results of this study - the possibility of their use in the system of socio-pedagogical monitoring - monitoring of productivity the research activities and effectiveness of educational environments. Methods of investigation: modeling, methods of the theory of sets and relations, methods of probability theory and mathematical statistics, methods of the theory of limits, methods of linear algebra and analytic geometry, multi-parameter analysis of the systems and methods of quality control (latent variables theory). Methodological bases of research: a systematic, metasystem, qualimetric, sociological and probabilistic and statistical approaches

To increase the validity of conclusions about the impact of the environment on the quality of life we need to move from generalities to the application of quantitative modeling techniques. This requires the joint processing environmental databases and databases depicting various aspects of quality of life. These databases are needed to be handled not just together, but in a comparable form approach, including technology and methodology, and to be implemented in one software system. For the first time in the environmental studies, it has been planned to be done with the application of the ASK-analysis and the system called "Eidos". Previously, the authors have set the goals and the objectives of the application of the ASK-analysis to study the effect of environmental factors on the quality of life of the population of the region. The article reveals the urgency of this study; the requirements for the method of conducting the study, the choice of a research method; as well as the contents of the objectives of the study. The proposed work is at the edge of mathematical ecology and mathematical modeling of quality of life (which refers to mathematical and instrumental methods of Economics), resulting from expected synergies, consists in obtaining of new knowledge in these fields that is relevant to both ecology and economy. This knowledge will make it more meaningful and justified for the application of environmental criteria and concepts in the economy. This work contains a description of the basic data sources for the study of the impact of environmental factors on various aspects of quality of life of the region's population, the source data for this study, the characteristics of the original data, substantiation of requirements to the method of research, choosing research methods appropriate to requirements; the development of steps to achieve the objectives of the study

Application of classical forecasting methods applied to a diversified corporation faces some certain difficulties, due to its economic nature. Unlike other businesses, diversified corporations are characterized by multidimensional arrays of data with a high degree of distortion and fragmentation of the information due to the cumulative effect of the incompleteness and distortion of accounting information from its enterprises. Under these conditions, the applied methods and tools must have high resolution and to work effectively with large databases with incomplete information, to ensure correct common comparable quantitative processing of the heterogeneous nature of the factors measured in different units. It is therefore necessary to select or develop some methods that can work with poorly formalized complex tasks. This fact substantiates the relevance of the problem of developing models, methods and tools for solving the problem of forecasting the development of diversified corporations. This article compares methods of forecasting and encourages using the ask analysis which has a good theoretical justification for the meaningful interpretation of a knowledge model based on information theory; high accuracy and independence of calculation results of the unit of measurement baseline data through the use of not the correlation matrix, as in statistical systems, and matrices of knowledge. A well-developed and available Toolkit of the ASK-analysis which is an intellectual system called "Eidos" (created by E. V. Lutsenko, 1994) allows, on the basis of fragmented, noisy source data of various nature (numeric, text) to create models of large dimension. The ASK-analysis and the system of "Eidos" have been widely and successfully used in economics, engineering, agriculture, sociology and other fields. These features of the ASK-analysis have led to the fact that it was chosen as the method of forecasting of dynamics of indicators of the corporation

The article deals with the results of research of acoustic and magnetic field influence on conductivity and pH value of hydroponic solution. For carrying out researches in this area the hypothesis of possibility of nutrient solution influence on ions by means of an acoustic and magnetic field is set up. A laboratory scale plant was constructed for a pilot study of the hypothesis. The solution was moved in the tube passing through a ferrite ring with winding. Thus, the solution was exposed to the influence of acoustic and magnetic field. The object of research was hydroponic solution of (NH4)2SO4; (NH4)2HPO4; K2SO4; Ca(NO3)2; MgSO4 in water having adjusted concentration and acidity. The solution was taken from the tank of laboratory scale plant by means of the pump, passed through the working area of the acoustic and magnetic device, filter, and then was poured into the tank, from which the sample for pH level changing was taken. The pH value was measured at the temperature of 22С by using electronic pH-meter KL-009(1)A. For control of instrument readings acidity was tested by universal test-paper. The initial pH value of solution made 5. As a result of acoustic and magnetic treatment of solution pH value of hydroponic solution increased from 6 to 6.9. The results show the possibility of pH value correction by small energy input

In the article the development of software and its application in acceptance of the optimum administrative decisions at the agriculture enterprise is considered.