Мониторинг и моделирование основных тенденций развития научной деятельности в России
This article is devoted to monitoring of the scientific sphere in Russia in comparison to the developed countries. Attention is paid especially to analysis of interrelation between scientific researches costs and the results of scientific activity, as well as to the modeling of innovative activity in Russia on the based on the systems of the recursive simultaneous equations. The conducted research allows to follow the diffusion of scientific knowledge and their influence on innovative activity in the country.
Some methodological aspects of the scientific-technical complex inventory survey are considered. The status of the material-technical base and intangible assets was analyzed. The unique stands and installations, equipment's age structure, specialized buildings and constructions were studied as part of the fixed assets. The indicators of the state of art, development and usage of the experimental base of science are presented. The institutional structure of the science, including information about innovation and integrated subdivisions of science and education are characterized.
In the paper integrated information systems for corporate planning and budgeting are considered. Four groups of practical tasks exceeding the bounds of typical functionality of special-purpose planning and budgeting information systems are allocated. Several classes of information systems (simulation, statistical analysis, financial analysis and modeling, group decision making, business intelligence), which may provide the completeness of corporate planning and budgeting are denoted as solutions complementary to special-purpose planning and budgeting systems.
In the article the classification of indicators of efficiency of scientific activity, and also the list of criteria which they should satisfy are suggested. The indicator of productivity of scientific activity used in Russia (IPSA) is analyzed and its limitation for measurement of the results of scientific activity is proved. New IPSA, the technique of their calculation and the way of calculation of the wages of the faculty on the basis of these indicators are worked out.
scientific activity, a productivity indicator, a citing index, the impact factor
A model for organizing cargo transportation between two node stations connected by a railway line which contains a certain number of intermediate stations is considered. The movement of cargo is in one direction. Such a situation may occur, for example, if one of the node stations is located in a region which produce raw material for manufacturing industry located in another region, and there is another node station. The organization of freight traﬃc is performed by means of a number of technologies. These technologies determine the rules for taking on cargo at the initial node station, the rules of interaction between neighboring stations, as well as the rule of distribution of cargo to the ﬁnal node stations. The process of cargo transportation is followed by the set rule of control. For such a model, one must determine possible modes of cargo transportation and describe their properties. This model is described by a ﬁnite-dimensional system of diﬀerential equations with nonlocal linear restrictions. The class of the solution satisfying nonlocal linear restrictions is extremely narrow. It results in the need for the “correct” extension of solutions of a system of diﬀerential equations to a class of quasi-solutions having the distinctive feature of gaps in a countable number of points. It was possible numerically using the Runge–Kutta method of the fourth order to build these quasi-solutions and determine their rate of growth. Let us note that in the technical plan the main complexity consisted in obtaining quasi-solutions satisfying the nonlocal linear restrictions. Furthermore, we investigated the dependence of quasi-solutions and, in particular, sizes of gaps (jumps) of solutions on a number of parameters of the model characterizing a rule of control, technologies for transportation of cargo and intensity of giving of cargo on a node station.