The development of the formulation of cosmetic creams with a fat base, as a rule, is based on a rich practical experience, which has found expression in a number of generally accepted strategies. At the same time, the most difficult stage is the creation of a multicomponent mixture of oils with a balanced fatty acid composition, taking into account skin type, age-related changes, etc. An alternative to the empirical approach can be the creation of mathematical models of fat mixtures based on an unambiguous clear choice of criteria and restrictive conditions for the content of individual fatty acids. The relevance of such a task is due to the fact that the proposed models are quite complex and limited to a small set of components in the blend. The purpose of this study was to create a simplified model for calculating the fatty acid composition of multicomponent blends of vegetable oils using oil extracts of berries, fruits, essential oils and medicinal plants of the Crimean region enriched with BAS as a fat base. Oil extracts were obtained on the principle of two-phase extraction, which allows the extraction of biologically active substances of medium polarity. As a result of the research, a simplified strategy for mathematical modeling of the multicomponent composition of the fat base of oil creams is proposed, which allows to obtain the optimal ratio between base and active oils. At the same time, oils are selected both taking into account their physiological activity and fatty acid composition. A significant simplification is achieved through a preliminary analysis of the fatty acid composition of oils and the selection on its basis of such mixtures of oils, which later act as a single component. This allows the formation of multicomponent mixtures. The ratio of oleic and linoleic acids; the ratio of oleic to the sum of polyunsaturated acids (PUFA) were chosen as restrictive criteria. The results of this work can be useful when creating and testing mixtures using new unconventional oils.

To date, it is known that functional nutrition products account for 3% of all known food products. Based on forecasts, in the coming decades, their percentage ratio will increase to 30–50% of the entire grocery market. The range of functional meat products is poorly developed, which is explained by the peculiarities of their production technology [5]. One of the tasks of functional nutrition in the production of sausages and sausage products is to minimize the fat content, reduce the amount of sodium nitrite, phosphate and nitrates, and include probiotics, prebiotics and other functional ingredients in the formulation. Raw smoked sausages are in great demand among consumers and have a long shelf life of up to 6 months. But at the same time, they have a long and time-consuming technological process that proceeds according to the traditional technological scheme for up to 45 days. In order to reduce the maturation time of raw smoked sausages, various starter cultures are added to the minced meat, as well as carbohydrates that serve as an energy source for microorganisms [6; 9]. Due to the impact of starter cultures on the pathogenic microflora of the product, their number is significantly reduced, the shelf life of finished products is increased, and the organoleptic characteristics of raw smoked sausages are improved [8]. Carbohydrates play an important role in the fermentation process; they influence the acquisition of taste in the finished product and, depending on the amount introduced, change the consistency of the product. Also, for starter bacterial cultures, carbohydrates are energy, i.e. food for lactic acid bacteria. Dry demineralized whey is used in the production of sausage products to reduce residual sodium nitrite, improve organoleptic parameters and enrich with whey proteins, vitamins and minerals [7; 9]. By introducing dry demineralized whey into raw smoked sausage, it is possible not only to shorten the fermentation time, improve the taste and smell of raw smoked sausages, but also to enrich it with proteins and trace elements necessary for vital activity, while giving the finished product functionality [9]. In this scientific article, the selection of starter and probiotic starter cultures for the production of raw smoked sausages with specified functional properties is carried out. The amount of demineralized serum introduced and its effect on the quality indicators of the finished product were determined.

Dioscorea Caucasica is a source of various biologically active substances (BAS), e.g. saponins and polyphenols, which are known for their anti-atherosclerotic action. However, this species is in the Red List of many Russian regions. Biotechnological methods of production of callus, suspension, and root cultures in vitro can solve this problem. The research objective was to select the optimal BAS extraction parameters. The study featured in vitro cell cultures, grown according to standard methods, and extracts, obtained from these cultures using various organic solvents and extraction parameters, i.e. temperature, the ratio of raw material vs. extractant, time, etc. The best yield of the extract from callus cultures was observed when methanol was applied in a ratio of 1:10 at 40°C for 60 min. As for suspension cultures, the greatest yield was provided by isopropanol in a ratio of 1:10 at 40°C for 30 min. In case of root cultures, the most effective combination was that of isopropanol in a ratio of 1:10 at 40°C for 60 min. The root culture proved the source of the highest BAS content, namely caffeic acid, rutin, mangiferin, quercetin, and apigenin. The content of rutin was 13 and 22 times higher than that of callus and suspension cultures. TLC, HPLC, and NMR procedures demonstrated that the isopropanol extract contained such saponins as glucopyranoside, rhamnopyranoside, deltoside, protodioscin, spirosthenol A, and spirosthenol B. These substances are known for their antiatherosclerotic properties. Therefore, 
in vitro cell cultures of Dioscorea Caucasica can be used as raw materials for various pharmaceutical purposes, as well as in functional foods.

Thin-cut smoking tobacco is gaining more and more popularity among consumers of tobacco products. However, this type of product remains poorly understood, including the chemical composition of its smoke. The analysis of the data on the chemical composition of the smoke of smoking tobacco products of various designs is an urgent task from the point of view of assessing the toxic load. It will help further to develop recommendations and suggestions for consumers in the manufacture of these products. The main purpose of this work is to study the effect of the product design (diameter, weight and air permeability of paper) on the chemical composition of smoke and tasting assessment. This article discusses the technological properties of smoking tobacco brands: «Pepe», «Stanley», «Corsar», «Redmont». The chemical composition of tobacco (nicotine, proteins, carbohydrates and pH) was analyzed. The analysis of the composition and breathability of paper for self-rolled cigarettes of the brands «OCB Premium» and «OCB Organic Hemp» used for the manufacture of tobacco products from thin-cut tobacco, of different diameters. The influence of the design features of the products (diameter and weight) was studied on the chemical composition of smoke (nicotine, resin, carbon monoxide). Experimentally, the dependence of the chemical composition of smoke on the air permeability of paper and the design features of thin-cut tobacco products has been established: when using paper with low air permeability and with an increase in the diameter and weight of products, the nicotine content increases by 37,55% and resin by 39,54%. The dependence between the nicotine content in tobacco and nicotine in the smoke of tobacco products from thin-cut tobacco was revealed.

Currently, the regulation of investment flows is an integral part of managing the socio-economic development of the region. At the same time, the investment potential of any Russian region is determined by the effectiveness of the implementation by regional territorial authorities of their social, economic, environmental policies for the development of the Russian region. The analysis of investment opportunities of Russian regions is one of the tools of the monitoring component of the mechanism for managing the investment potential of the studied Russian regions of the Southern Federal District. In this regard, one of the most urgent problems of managing sustainable socio-economic development of the studied Russian regions is the problem of assessing the sustainability of the investment potential of the regions of the analyzed macro-region. The purpose of this publication is to consider the problems of forming a regional mechanism for managing the totality of investment resources of the Southern Federal District. Methodological approaches to the analysis of investment opportunities of Russian regions and the analysis of the criterion indicator of the sustainability of the potential of investment resources of the regions of the analyzed macro-region have been studied. In order to achieve the goal, the problems of formation and functioning of the mechanism for managing the regional potential of investment resources, the analysis of regional investment opportunities and the criterion for the stability of the investment potential of the analyzed regions of the macro region and methods of its calculation have been analyzed. The methodological basis of the study includes a systematic method, methods of statistical analysis, expert methods. The theoretical and methodological basis of the study was the work of domestic and foreign authors in the field of assessing the investment potential of the region, its management. The result of the conducted research is a methodology for assessing the criterion of sustainability of the potential of investment resources of the Russian regions of the studied federal district. The proposed methodology allows regional authorities to assess the sustainability of the potential of investment resources of the Russian regions of the Southern Federal District, to predict the amount of investments in fixed assets of economic entities of the analyzed regions, their labor, financial, innovation, production, infrastructure, consumer potential. In particular, the proposed methodological approach makes it possible to form a system of measures to increase the potential of investment resources, both in the regions of the Southern Federal District of Russia in particular, and in the Federal District as a whole.

For the tourism industry, the COVID-19 coronavirus pandemic has become the most serious challenge of its existence. The industry suffers serious losses and loses jobs, which generally negatively affects the unemployment rate in the country. Meanwhile, strict anti-epidemic measures introduced by various countries have accelerated the transformation of world tourism. High-tech companies with global ambitions, digital startups are appearing on the market, which leads to new opportunities for individual tours and formats of international cooperation. It is obvious that the global crisis related to the COVID-19 coronavirus pandemic will lead to a new, more sustainable format of the tourist complex in the future. The purpose of this article is to study the current state and measures to stimulate the tourism industry in the context of the COVID-19 coronavirus pandemic and to develop a conceptual model for the development of the tourist complex in such conditions. The following methods of scientific cognition are used in the work: abstraction, analysis, induction, synthesis. The article substantiates the relevance of the study. Some indicators of the functioning of domestic tourism during the pandemic in comparison with previous periods are considered, in particular, the tourist flow of Russia in view of the spread of coronavirus infection. Measures to support tourism in the current conditions are considered, relevant measures to support the industry are singled out separately. The main ideas of targeted federal projects are outlined, such as: the national project «Tourism and the hospitality industry», «Strategy for the development of tourism in Russia until 2035». A conceptual model of management of the tourist complex of the region in the conditions of the COVID-19 coronavirus pandemic is proposed, which assumes a systematic approach to the diagnosis of tourism development and allows formalizing managerial impacts on the tourist complex of solutions to ensure its sustainable development.

The article studies the factors determining monetary circulation in Russia and the actual problems of its anti-crisis regulation in the country’s economic system. The authors of the article focus on the dynamics of the key rate as one of the main factors affecting cash flows in Russia, ensuring the implementation of the main functions of money when they move through the rates set by credit institutions on deposit products. In the study, within the framework of cash flow management in the commercial banking sector in the Russian Federation, special attention is paid to the problems of falling real incomes of the Russian population and worsening expectations of the population regarding changes in the economic situation in the country. The authors analyze the main reasons for the negative dynamics of real incomes, the problems of insufficient growth rates of the Russian economy to reduce poverty and improve the quality of life of the Russian population to target levels. As statistical examples, the authors provide data on the dynamics of the main macroeconomic parameters of the functioning of the economic system: economic growth rates (gross domestic product), inflation rates, the central bank’s key rate, real incomes of the population and its economic sentiment. In the anti-crisis regulation of monetary circulation in Russia, the authors propose to combine two interrelated directions: short-term anti-crisis tactics to stimulate aggregate demand and long-term strategic regulation of economic growth (aggregate supply). According to the authors, in order to implement a favorable scenario for the development of the economy of modern Russia, it is necessary: to increase the money supply, stimulate economic growth and consumer demand of the population (i.e. to make payments, subsidies at the expense of budgetary funds, at the expense of accumulated funds of the National Welfare Fund to the population). Acceptable terms and interest rates on loans for business are needed to increase its business, investment and innovation credit activity in connection with the unfavorable situation due to the coronavirus pandemic and to practice state control over pricing in the sphere of natural monopolies and oligopolies that affect the cost of production. Also, it is essential to provide effective state support for small and medium-sized businesses (SMEs) at the federal and regional levels and reduce the tax burden for businesses.

The social and economic development of the country directly depends on the level of financial literacy of the population. The general picture of the country’s economic development is influenced by the attitude of the population to borrowed funds, the financial responsibility of citizens, and the principles of family budget allocation and the nature of consumer behavior. The low level of knowledge of the population in matters of financial literacy leads to the loss of funds of both individuals and legal entities, as well as to the emergence of panic in the financial services market. Currently, pre-retirees are one of the rather important social groups of the population of the Russian Federation, since most continue their work even after retirement. Pre-retirees make a significant contribution to the development of intellectual potential, are an example for the younger generation. In this regard, there is a need not only for financial education, but also for retraining or professional retraining of the older generation. The purpose of this article is to study modern basic tools for improving financial literacy of pre-retirees and to develop recommendations for people of pre-retirement age on the formation and practical use of skills in the field of financial literacy. The following methods of scientific cognition are used in the work: abstraction, analysis, induction, synthesis. The article substantiates the relevance of the study. The importance of financial literacy for the well-being of people is substantiated. The concept of financial literacy, the characteristics of the main tools for improving the financial literacy of pre-retirees used in practice were given. The experience of organizing programs to improve financial literacy and professional retraining programs for pre-retirees was considered and the recommendations on how people of pre-retirement age to form and practically use skills in the field of financial literacy were given.

Now, there are no generally accepted ideas about the types of regions, there is no modern classification of regions according to the regional economic policy being implemented. This is the most important task in the regional policy of the state at the moment. There is a need to identify depressive regions with the help of such classification, to determine the economic levers with which it is possible to solve the most acute and important problems of such regions, as well as to determine the ways of development of these regions. As a result of such an analysis of the situation, federal aid should go to those regions that are most in crisis and that really need it. Various methodological approaches to the classification of regions for solving such problems are considered. Due to the complexity of analyzing the effectiveness of regional policy for individual regions, modern tools cannot provide an accurate answer to the question about the state of the region’s economy. There are no clear criteria for whether a given region is located in backward or depressed areas. All this affects the state of things and develops due to the inability to objectively assess and compare all the conditions for the development of the region and take into account all the data in a complex. As a result of the above and taking into account the limited resources of the federal center, territorial classification in the field of federal assistance is required. In many countries, there is a widespread practice combining quantitative and expert assessments when making decisions in the field of federal assistance to the region. The proposed typologization will make it possible to provide federal assistance to those regions that are most in crisis and that really need it.

Currently, economic progress requires solving a number of interrelated tasks in the constituent entities of the Russian Federation. A significant part of them concerns the problem of the effective use of the potential of enterprises and organizations, functioning in various sectors and spheres of the national economy. Consequently, appropriate project management processes in the region are needed to realize the economic potential. The problem of the study is how project management affects the development of the region, the solution of which is of significant practical and theoretical interest for the economy of the region. The purpose of this article is to search for and substantiate approaches to improving the development processes of project management in the economy of the region. The following methods of scientific cognition are used in the work: abstraction, analysis, induction, synthesis. The article discusses the methodology of project management, the budget of national projects of the Russian Federation and its structure. The system of state regulation of the development of the region’s economy has been studied. The relevance of using the tools of project management of the region’s economy is substantiated. In addition, the factors influencing the formation of the state strategy in the regional context are presented. New tools for the development of project management of the region’s economy are considered, such as: «Waterfall», «Agile», «Scrum», the critical path method (CPM), critical project chain management Critical Chain PM (CCPM). It is proved that the use of regional policy instruments largely depends on the potential of regions, territorial differences in their development, the specifics of regional problems, the degree of decentralization of public administration.

Modern conditions of functioning of industrial enterprises associated with a high degree of market competitiveness, market conditions, necessitate the improvement of production process management in order to optimize production, reduce production losses and increase labor productivity. The prompt and effective solution of these tasks is possible through the use of artificial intelligence, which allows not only to collect, analyze and structure production information, but also to increase the effectiveness of people’s work, improve the quality of manufactured products, and increase the efficiency of the enterprise as a whole. In turn, the implementation of the lean manufacturing concept at the enterprise can be carried out with great success with the widespread use of artificial intelligence technologies. The purpose of this article is to determine the range of tasks that can be solved using artificial intelligence in the implementation of the principles of thrift. At the same time, artificial intelligence is considered as an additional tool in the tool kit of lean manufacturing, enhancing the resulting effect. As a result of the study, the tasks to which artificial intelligence technologies are involved in the framework of the well-known lean production tools are identified. The article notes that the idea of continuous improvement occupies a central place in the philosophy of lean manufacturing. It is about focusing on constant change. Readiness for changes in the enterprise should be maintained constantly, so that when there is an opportunity for improvement, appropriate measures can be implemented. This possibility can be determined in a timely manner using AI tools. According to the results of the study, it was concluded that artificial intelligence technologies, regardless of their size and the production technologies used, incorporated into the processes of thrift, allow to obtain a synergistic effect that affects the functioning of the entire enterprise.

The purpose of the scientific work was to assess the economic efficiency of cultivating red clover and mixed soybean and corn crops for green mass, depending on the use of increasing doses of nitrogen fertilizers. The research was carried out in the fields of the Adyghe Research Institute of Agriculture, the soil of which is represented by heavy in mechanical composition merged chernozem. The content of physical clay throughout the profile is quite high – up to 78%. Tillage was applied with a plow PN-4-35 to a depth of 25–27 cm. It was revealed that the average yield of mixed crops of corn and soybeans for three years of research on the entire experimental site was 35,14 t/ha, perennial legumes for two years of research 18,67 t/ha. The yield of the green mass of soy and corn forage mixture, red clover is higher in all indicators on the variant with the introduction of the highest dose of nitrogen. The yield increases obtained depending on the use of increasing doses of nitrogen have been statistically proven (corn-soy mixture NSR05 ~ +3,5 t/ha), (clover NSR05 ~ +1,25 t/ha). Analysis of calculations of economic efficiency of cultivation of mixed crops of corn and soybeans showed that in all variants the level of profitability of products amounted to 91,1–117,7%. The income from the sale of products varied in the range of 14 469,6–21 169,7 thousand rubles/ha. The minimum income from the sale of the green mass of corn-soy mixture in the control variant is 14 469,6 thousand rubles/ha, the maximum in the variant with the highest dose of top dressing is 21 169,7 thousand rubles/ha. With a yield of red clover of 20,1 t/ha, the conditional net income from 1 hectare amounted to 3 963,0 rubles, the profitability level is 24,6%. Thus, the cultivation of corn-soy mixture and red clover by all economic indicators is possible without loss for an agricultural enterprise and it is advisable to include a raw material conveyor in the system.

The digital platform being developed is an information and mathematical model of the space of agricultural lands of Adygea, designed to solve an urgent problem of our time: automated visualization of the boundaries of spatial and temporal heterogeneity of crops and their habitat. For the first time, an automated computational model of the redistribution of agrochemical indicators in morphometrically classified quasi–homogeneous relief surfaces – geotopes in comparison with soil conditions, climatic and microclimatic fluctuations has been created. The tasks of the development include: providing automated monitoring, analysis, forecasting and optimization of crop growth conditions at the local and meso-level of natural and economic areas of the region, as well as creating an intelligent information support system for technological solutions in relation to the soil, climatic and economic conditions of a particular agricultural enterprise. At the regional and meso-level, the basic information component of the digital platform includes the hierarchy of natural and economic areas identified by methods of landscape-climatic, ecological-soil and natural-anthropogenic zoning according to the quasi-homogeneous distribution of parent rocks and natural and ecological conditions of the formation of meso-, microclimate and soils. At the local level, information is integrated with respect to the author’s information-mathematical 3D geometric structural model of the field relief surface, which provides extraction of morphometric characteristics and calculation of current lines determining the direction of movement of matter along geotopes, determination of representative points of agrochemical examination and interpolation of agrochemical analysis data in the field relief. The digital platform is being developed on the basis of the free cross-platform Quantum GIS in the form of an extension module in Python using QGIS libraries. The database of the digital platform is created on the PostgreSQL database management system. The extension module directly processes the information stored in the database to obtain consolidated information on the hierarchy of units of analysis – natural and economic area and agricultural enterprise, geotope and field.

The influence of the use of fertilizer doses at different intensity of tillage on the yield and quality of green feed based on winter barley varieties Romance, Kondrat, Dobrynya, Carioca was studied. The research was carried out in 2018-2020 in the Republic of Adygea on low-humus heavy-duty heavy-clay merged leached chernozems according to the method of field experience of B.A. Dospekhov. It was revealed that disking reduced the productivity of the green mass of various varieties of winter barley by 14,0–41,0%; the average yield for both processing methods varied from 5,75 to 11,2 t/ha. It was found that the most effective method of cultivation was the introduction of 60 kg of d.v. N by background, by both methods of processing, but plowing options are preferable in terms of yield. The use of this method of cultivation allowed to obtain the highest level of yield on these options for all studied varieties: Romance 15,3 t/ha, Dobrynya 14,6 t/ha, Kondrat 14,2 t/ha, Carioca 7,4 t/ha (on average for both methods of processing). The nutrient content in 1 kg of dry matter of feed varied from 8,02 to 11,0% crude protein; 11,1–11,74 MJ of exchange energy; 1,04–1,14 KE. The green mass of the Kondrat, Carioca, Romance varieties is classified as low- and medium-protein feeds, however, in terms of the content of feed units and exchange energy, all varieties are Class I feeds. The studied varieties contain an average of 0,42 to 0,605 EQ of cattle (energy feed units) in 1 kg of natural feed. According to the qualitative indicators in 1 kg of dry matter of feed, as well as the content of EKE in 1 kg of natural feed, the advantage belongs to the Dobrynya variety. The best variety in terms of yield, as well as nutritional and energy value for harvesting from 1 ha is the Romance variety.

The assessment of biological and actual grain yields, as well as the results of studying the percentage of realization of biological yields of varieties of wintering oats of various uses cultivated in soil and climatic conditions of the south foothill zone of the Northwest Caucasus, showed the advantage of grain-type varieties. For comparison, the grain yields of 2018 and 2020 were taken. with differences in the amount of precipitation during the most important period of culture development – the grain filling phase. In the conditions of the first year of research, the grain yield of wintering oats was 100–147 g/m² and it ranged from 288 g/m² (Guzeripl) to 438 g/m² (Oshten) in 2019–2020. Biological yield in 2018 was formed at the level of 150–245 g/m². In more favorable weather conditions in 2020, the level of biological yield varied from 436 g/m² (Oshten) to 902 g/m² (Verny). For two years of research, the average value of biological yield was 293–540 g/m². The number of plants was: 2018 – 100–124 pcs./m², 2020 – 132–224 pcs./m². Grain weight varied from 1,3 to 1,8  g (2018), in 2020 it was 2,3–4,9 g. On average, over two years, the number of plants varied from 124 pcs./m² (Guzeripl) to 174 pcs./m² (AGU 75), the grain weight was 1,9–3,2 g. Studies have found that the most highly productive varieties are Oshten, AGU 75, Mezmai. The Verny variety is distinguished by a high biological yield of grain, Oshten is characterized by the highest percentage of biological yield realization.

The largest share among the total production costs in the cultivation of sunflower falls on tillage. Its purpose is to increase the reserves of productive moisture in the soil, reduce the rate of its evaporation from the soil surface, improve plant nutrition and accumulation of precipitation, and prevent the accumulation of pathogens of various diseases, pests and weeds. Some of these tasks of soil treatment can be replaced, for example, by the introduction of organomineral fertilizers, the use of various pesticides, mulching of the soil surface with crushed straw, the introduction, in accordance with the specialization of the farm, scientifically based crop rotations with highly productive field crops. In this regard, the studies conducted on leached merged chernozems are devoted to the optimization of some elements of agricultural machinery for the production of sunflower seeds. The effect of dump plowing, shallow and deep non-fallow soil treatments on phytocenotic conditions for the formation of productivity of the sunflower hybrid Gorstar has been established. There was a strong (by 0,06–0,08 g/cm³) compaction of the soil layer of 15–30 cm against the background of shallow non-fall soil treatment than with the other two methods. The reserves of available soil moisture in the 0–150 cm layer with deep tillage and dump plowing were 214,0 and 210,8 mm, respectively, and for shallow tillage – 196,0 mm. At the background of dump plowing, the minimum contamination of sunflower crops was obtained, which is 36,5% less for deep tillage and 63,5% less for shallow. The introduction of a tank mixture of pre-emergence herbicides Acetal Pro, CE and Brig, CS provides an increase in the yield of sunflower seeds by all methods of basic tillage by 0,14–0,27 t/ha, and the introduction of soil herbicide Gardo Gold, CE – by 0,13–0,14 t/ha.