Scientific Journal of KubSAU

The article presents innovative models and methods to diagnose the researcher’s synergic interaction with the scientific community (social mega-environment). It is known that the researcher’s interaction with the social mega-environment has two main directions: scientific collaboration and using the scientific community’s social and cultural potential; the former appears as scientific publications, while the latter appears as scientific citations. It is also known that synergic interaction is the interaction leading to the increase in activity results (according to the “1+1>2” scheme). In the article, the researcher’s synergic interaction is understood as his/her collaboration-based research activity that leads to obtaining the results impossible without this interaction. The theoretical significance of the research results is in the possibility for the further development of the sociology of science, as well as for the further development of the models of the individual’s interaction with the social environment; the practical significance is in the possibility to analyze the factors contributing to the success in the research activity of academic researchers and research teams (i.e. applicable for monitoring the research activity)

Production and processing of grains formed in the national economic system of the country a number of cereals-governmental sectors, such as grain production, grain elevator industry, flour, cereals and mixed fodder production, which constitute the grain complex country. The significance and role of the grain as a commodity in the state economy can not be overestimated. This product is totally liquid, which has a constant, steady demand at any time of the year, in any region. Ongoing measures to increase grain production and improve its implementation did not have a complex character, therefore, insignificant effect on the efficiency of the industry and the competitiveness of grain production. The shortage was covered by imports. According to the characteristics of management in agriculture, it should be emphasized that the absence of objective and timely information at all stages of production of the plant-breeding, and as a result, non-optimal choice of technology of cultivation of agricultural crops, might result in the fact that the cost of labor and material resources increases significantly, the company does not receive profits, and sometimes suffers losses. When selecting cultivation technology for agricultural crops, an agronomist has a database of more than a hundred times-personal of alternative technologies for each crop. It is up to the decision-maker (DMP) to find specific criteria to select the most suitable (for the owners and the climatic zone) technology of cultivating for the culture. These circumstances explain the relevance of in-depth research of economic and mathematical models and methods of analysis and evaluation of the economic efficiency of technologies of cultivation agricultural crops. The article deals with the process of developing a complex of mathematical models and methods for evaluating alternative technologies for agricultural production (using the example of crop production), their software implementation, and the main scientific results of the project

The article considers an approach to managing the production process in agriculture based on modeling and evaluation of added value chains. The work has proposed a scheme of links for the production chain of added value creation that contains source control and financing cash flow which comes first in the link of agricultural production, then produced products are supplied to the accumulator, and from there it sequentially passes through the links of the value chain of the cyclic processing facilities, from which finished products are marketed and the resulting revenue is directed to the source of funding and management. We have given mathematical descriptions of the movement of financial and material flows in the links of the developed value chain, and mathematical models for calculating the volume of material and financial flows are proposed. Financial flows were also investigated to compensate for the cost of converting material flows and their mathematical descriptions. The article obtains a mathematical model of the economic efficiency of the production process and proposes a mathematical model for calculating the minimum price for socially significant processing products

The research purpose is identification and justification of the scientific team’s recognition citation-based criteria. Such parameters of the educational environment as modality, latitude, social activity, social coherence, intensity, maturity etc. are assessable on the basis of the primary information about the scientific team’s research activity results. The authors of this article prove that the data about cross-citations within a scientific team is the primary information about the scientific and pedagogical team members’ recognition of their social system (such information is obtainable from modern scientometric databases, e.g. Russian Science Citation Index). The new scientific results of this research are the identified citation-based criteria for the scientific team’s recognition. The theoretical significance of these results is the possibility of using them as a scientific basis for further research in the sociology of science and for the development of the small social systems functioning models; the practical significance is the possibility to analyze the factors for the success of scientific and pedagogical teams’ research activity (i.e. applicability for the research activity monitoring systems). The research methods are: the methods of set, relations and graph theory, the methods of qualimetry, mathematical statistics (including the scree-plot method) and linear. The research methodology is based on the sociological approach (viewing the scientific and pedagogical team as a well-established social system), the qualimetric approach (declaring the necessity for the multicriterial diagnostics of scientific and pedagogical team’s recognition) and the probabilistic and statistical approach (viewing the scientific and pedagogical team’s recognition citation-based diagnostics as a statistic measurement)

The article discusses scale formation problems of greenhouse complexes with geothermal heat sources. Two-circuit geothermal heat supply systems with intermediate heat exchangers are used to prevent equipment and communications scale. Fresh softened water is heated by geothermal heat and is supplied to consumer needs. The heat exchanger and primary circuit communications contacting with the geothermal heat carrier (geothermal water) are subjected to scale formation in the existing system. A scale formation of heat exchange surfaces reduces the efficiency of the heat exchanger and requires a periodic cleaning and causes a chain of economic losses in the production, transportation and consumption of heat. Currently, we use physical, chemical, biological and combined methods of scale formation prevention. The article also considers hypothesis about the effect of an acoustic-magnetic field on solutions. It was found experimentally, that the acoustic-magnetic field affects to characteristics and dimensions of salt crystals. The number of particles increases and solid phase dimensions decrease. A large number of microcrystals suspended in water are formed as a result of the nonchemical acoustic-magnetic treatment of geothermal water. These crystals do not stick to the pipe surface and do not settle to the bottom, may be filtered out and carry out by water flow from the system

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

The article presents the criteria for the effectiveness of the scientific and pedagogical workers of higher skill levels for the preparation of scientific and pedagogical staff. It is known that the preparation of the teaching staff (PhDs) - one of the most important activities of higher education institutions; Moreover, when the state accreditation of higher education institutions compulsorily taken into account indicators that reflect the impact of training candidates. Also, of course, that the training of the teaching staff (PhDs) - activities that require both high levels of research and pedagogical competence. This means that the results of scientific and teaching staff higher qualification levels for the preparation of the scientific staff - both indicators of research and pedagogical competence; own training of researchers - an area of "crossing" of scientific and pedagogical activity. Unfortunately, the increase in the number of scientific personnel being prepared does not always mean quality growth. Often trained scientific personnel (PhD) not only do not approach the level of competence of its research (the results of research) to the supervisor, and stopped to engage in scientific activities after defending his doctoral dissertation (or engaged at a low level). Therefore, the article authors consider it expedient to propose indicators that reflect not only the amount and timeliness of the research training (PhD thesis defense sometimes occur many years after graduate school), but also the productivity of this activity. From the point of view of the authors, the success of research training only can be considered productive when prepared by the scientific supervisor candidates of sciences are highly qualified scientific personnel, ie conduct high-level research, the results of which are recognized by the scientific community; the same is true of the scientific advice (highly qualified scientific workers - doctors). The practical significance of the study results - in the possibility of objective monitoring of research activity of scientific-pedagogical personnel of higher qualification. Methodological bases of research: a systematic, competence, sociological, and metasystem qualimetric approaches. Methods: modeling, methods of quality control, methods of set theory, relations and graphs. Normative base of research: the Federal Law "On Education" (2012), the federal state educational standards of higher education (2014, 2015). The work was performed as part of research projects "Monitoring of the research activities of educational institutions in the information society" (№ 16-03-00382) and "Modern information and educational environment" (16-36-00048) with the financial support of the Russian Humanitarian Foundation from 17.03. 2016.

The aim of the article is to analyze existing quantum distribution systems, their facilities, physical bases of quantum objects behavior used in quantum distribution systems and protocols of quantum keys distribution

The article presents the new criteria suitable for the diagnosis of the productivity of research and the importance of its results for the scientific community, are resistant to artificially "improve". It is known that generally accepted measure of the productivity of research scientists is the h-index, which is calculated based on a statistical method of scree. This indicator is applicable to research teams (organizations). However, the h-index and a number of other scientometric indicators based on citation, are easy to be artificially increased (fraudulent schemes action). New scientometric parameters adequately reflecting the importance of research results, and not amenable (or very difficult to) to be artificially "improved" are therefore needed; moreover, it is recognized around the world: the true score (not fictitious) of the significance of the results of a research scientist for the scientific community - is a complex metrological (scientometric) task. The authors argued that such indicators are primarily index latitude demand for research results, as well as a number of other parameters of copyright. Despite the fact that authors indicators, the same as the h-index are based on citation, their large values indicate that the scientific community recognizes the results of the research activities of scientific and pedagogical workers; moreover, these indicators can be considered as a criterion to identify really promising (productive) researchers. The problem of adequate assessment of the productivity of research activities and the significance of its results, the authors consider in the context of the problems (larger problems) of the effectiveness of educational environments. The practical significance of research results lies in the possibility of their use for constructing criteriondiagnostic apparatus for monitoring research activities of scientific institutions (including higher educational institutions). Research methodology: systemic, metasystemic, probabilistic-statistical and qualitative approaches. Research methods: cognitive, structural, functional, and mathematical modeling; methods of graph theory, sets and relations; system-cognitive analysis; methods of quality control (theory of latent variables); methods of probability theory and mathematical statistics (first of all – a method of scree), methods of analytical geometry; methods of the mathematical theory of limits

The article presents the main directions of the application of the scree plot method in solving metrological problems in the social and humanitarian fields of knowledge (economics, pedagogy, sociology, including sciencemetry). It is known that statistical measurements in socio-economic systems are inextricably linked with the processing of primary homogeneous monitoring information. It is also known that empirical averaging (computation of the empirical mean), as the dominant method of mathematical statistics, is becoming a thing of the past, due to moral aging, inconsistency with modern requirements (primarily to measurement results in socio-economic systems); In science meteorology, this method was replaced by the scree plot method (the Hirsch index and other scientometric indicators are estimated on the basis of this method). Despite its enormous potential, the scree plot method, as an alternative to traditional methods of mathematical statistics, is very poorly used in the social and humanitarian fields of knowledge. The authors of this article have shown that this method can be successfully applied in solving various metrological tasks, not only in science (sciencemetry is a branch of science), but also in economics, pedagogy and sociology. In addition, the authors show modifications of the scree plot method, using the example of measuring (measuring) indicators in the economy, sociology and pedagogy; The relationship between the scree plot method and the theory of latent variables (qualimetry) and database technology is grounded. The authors also substantiate that the scree plot method - the basis for the formation of monitoring indicators that adequately reflect the performance of socio-economic systems. The practical significance of the results of this study is that they can be used in socio-economic and psychological-pedagogical monitoring systems (according to modern views, monitoring is an information management mechanism). Methodological basis of the research: system, sociological, competence, probabilitystatistical and qualimetric approaches (leading methodological basis is the probabilistic-statistical approach). Research methods: modeling; Methods of graph theory, sets and relations; Systemic-cognitive analysis; Methods of qualimetry (the theory of latent variables); Methods of mathematical statistics