The purpose of the article The purpose of the study is to determine the features of factors’ development and systematization affecting the degree of innovation activity and efficiency of projects in the Russian regions. Materials and methods: The main research methods used in the article are the method of description, which allowed determining of the level and trends of Russian regions’ innovative development; the method of cluster analysis for regions’ classification by innovative activity’s parameters in order to identify the characteristics and determine the directions of the target differentiated approach to the development of innovation. Results of the research: The article presents the analysis of innovative development dynamics of the Russian regions’ industrial sector; the tendencies of scientific and innovative activity’s financing in the Federal districts; the regions’ classification by the parameters of innovative activity in order to identify the characteristics of innovations’ development and commercialization. Applications: This research can be used for universities, teachers, and students. Novelty/Originality: In this research, the model of differentiated approach problems to innovative development management in Russian regions is presented in a comprehensive and complete manner.

The article is devoted to the study of environmental problems in the production of steel pipes and the rational use of waste. The relevance of the study lies in the high resource intensity and waste of pipe metallurgy, the classification of steel production and their subsequent redistribution as the first category of environmental hazard and is assigned to the areas of application of the best available technologies. The aim of the article is to analyze the resource intensity and waste production of steel pipes, to study the existing waste management system and its rationality at Russian enterprises. As the main research methods, the IDEF0 modeling methodology was used to visualize the waste management system and to structurize the model for the production of welded pipes taking into account emissions of pollutants, as well as Data Mining technology in the form of a classification and regression tree for studying trends and local patterns in waste management. The tendency of increasing resource intensity at the enterprise of the pipe industry with relative financial instability is revealed. A visualization of the waste management system in the production of steel pipes is proposed, which makes it possible to distinguish the main functional blocks of the incoming and outgoing parts of the waste balance. A model of the processes of production of welded pipes is structured taking into account emissions of polluting substances into the atmosphere and cleaning methods according to the reference book on the best available technologies ITR 27-2017. Based on the constructed decision tree, knowledge was obtained on the trends in the treatment of steel pipe production waste. In order to reduce the level of rejection in the production of steel pipes and minimize the formation of scrap, a project has been proposed on the automation of technical quality control and the implementation of the MES system. The research was carried out within the framework of the grant of the President of the Russian Federation for state support of leading scientific schools of the Russian Federation, project number NSh-2600.2020.6.

Improving the energy efficiency of chemical industries and increasing their environmental friendliness requires an assessment of the parameters of consumption and losses of energy resources. The aim of the study is to develop and test a method for solving the problem of optimizing the use of energy resources in chemical production based on the methodology of descriptive statistics and training of neural networks. Research methods: graphic and tabular tools for descriptive data analysis to study the dynamics of the structure of energy carriers and determine possible reserves for reducing their consumption; correlation analysis with the construction of scatter diagrams to identify the dependences of the range of limit values of electricity consumption on the average rate of energy consumption; a method for training neural networks to predict the optimal values of energy consumption; methods of mathematical optimization and standardization. The authors analyzed the trends in the energy intensity of chemical industries with an assessment of the degree of transformation of the structure of the energy portfolio and possible reserves for reducing the specific weight of electrical and thermal energy; determined the dynamics of energy losses at Russian industrial enterprises; established the correlation dependence of the range of limiting values of power consumption on the average rate of power consumption; determined the optimal limiting limits of the norms for the loss of electrical energy by the example of rubbers of solution polymerization. The results of the study can be used in the development of software complexes for intelligent energy systems that allow tracking the dynamics of consumption and losses of energy resources. Using the results allows you to determine the optimal parameters of energy consumption and identify reserves for improving energy efficiency.

The relevance of the issue under investigation is reasoned by the fact that in growing global competition and expansion context, on the one hand, and economic constraints related to geopolitical tensions, on the other hand, a key factor in the enterprises competitiveness and priority positions achievement in the world market will be their transition to innovative production technologies and business. Topical and promising one in this case is to achieve competitive excellence, increase business efficiency through the innovations' projecting and commercialization. The paper purpose is to investigate the efficiency and specificity level of the ongoing innovation processes in the real sector of the economy as innovative transformations key segment and the basis for increasing the territory competitiveness. The leading method to the problem study is the method of systemic economic analysis, which allows revealing the essence, regularities, trends of the processes occurring at all levels of innovative transformations. To assess the innovative activity concentration and enterprises' innovative development nature, it is proposed to use analysis methods based on the cost efficiency evaluation, depending on the effect magnitude achieved as a result of innovations practical use, enabling to diagnose competitive and non-competitive producing groups, to determine the resource and innovation potential with strategy development further construction. The research materials can be used in innovative transformations management in organizations of the real sector of the economy, economic regional systems formation, the territories competitiveness management and innovative development's strategies construction.

The evolution of Fe-containing phases of carbonaceous chondrites heated under various oxidationreduction conditions was investigated by means of M0ssbauer spectroscopy. Heating of the lower petrological types of chondrites (CM2) released gases which initially produced oxidizing conditions (N450~ and then reducing conditions (> 700~Phase transformation occurred rapidly (during 1-5 minutes) at all temperatures. During heating the Fe-bearing phyllosilicate phases in CM2-chondrite converted to Fe-bearing olivine, metallic iron and troilite (pentlandite). These phases resemble those of CO3, CV3 and EH-chondrites. Iron distribution resembling that of ordinary chondrites (some additional Fe 2+ in pyroxene) was obtained only by heating a mixture of oxidized matter (CM2) with reduced matter (EH).A phase transition discovered at 1050~ is probably the temperature boundary between conditions of formation of the two main components of ordinary chondrites: matrix and chondrules. Chondrules of ordinary chondrites may be formed at temperatures > 1050~ while the matrix forms at temperatures < 1050~ For the carbonaceous chondrite Kainzas (CO3) these temperatures are approximately 1000~ and < 900~ The experimental conditions determined for the evolution of chondrites do not contradict the theoretical two-component model of Wood-Anders-Ringwood and may further its development.