Directional Dependence Research Articles

Юридическое согласование в частном и публичном праве

The article reveals the value and legal content of legal agreement as a general law in private and public law. Legal coordination in civil, constitutional and administrative law is analyzed. A comparative description of legal approval is made based on the subject composition, the presence of interest and the possibility of expression of the will of the subject of approval (initiator). The features of the formation of the nature of legal agreement on the basis of the dualistic division of law are characterized. The work emphasizes that the division of law into private and public is universal and does not entail a direct dependence of legal agreement belonging to a specific element of the structure of law.

Analysis of metabolite and strain effects on cardiac cross-bridge dynamics using model linearisation techniques.

Multi-scale models of cardiac energetics are becoming crucial in better understanding the prevalent chronic diseases operating at the intersection of metabolic and cardiovascular dysfunction. Computationally efficient models of cardiac cross-bridge kinetics that are sensitive to changes in metabolite concentrations are necessary to simulate the effects of disease-induced changes in cellular metabolic state on cardiac mechanics across disparate spatial scales. While these models do currently exist, deeper analysis of how the modelling of metabolite effects and the assignment of strain dependence within the cross-bridge cycle affect the properties of the model is required. In this study, model linearisation techniques were used to simulate and interrogate the complex modulus of an ODE-based model of cross-bridge kinetics. Active complex moduli were measured from permeabilised rat cardiac trabeculae under five different metabolite conditions with varying ATP and Pi concentrations. Sensitivity to metabolites was incorporated into an existing three-state cross-bridge model using either a direct dependence or a rapid equilibrium approach. Combining the two metabolite binding methods with all possible locations of strain dependence within the cross-bridge cycle produced 64 permutations of the cross-bridge model. Using linear model analysis, these models were systematically explored to determine the effects of metabolite binding and their interaction with strain dependence on the frequency response of cardiac muscle. The results showed that the experimentally observed effects of ATP and Pi concentrations on the cardiac complex modulus could be attributed to their regulation of cross-bridge detachment rates. Analysis of the cross-bridge models revealed a mechanistic basis for the biochemical schemes which place Pi release following cross-bridge formation and ATP binding prior to cross-bridge detachment. In addition, placing strain dependence on the reverse rate of the cross-bridge power stroke produced the model which most closely matched the experimental data. From these analyses, a well-justified metabolite-sensitive model of rat cardiac cross-bridge kinetics is presented which is suitable for parameterisation with other data sets and integration with multi-scale cardiac models.

Atomistic origins of deformation-induced structural anisotropy in metaphosphate glasses and its influence on mechanical properties

Glasses are generally isotropic. However, structural anisotropy can be induced through processing. Here, molecular dynamics simulations were used to study the deformation behavior of metaphosphate glasses and the atomistic origins of the deformation-induced structural anisotropy. The anisotropy observed in the metaphosphate glasses originates from a preferred orientation of the tetrahedral units at both short- and medium-range, depending on the loading mode. The mechanical behavior of the glasses showed that the Young’s modulus of the anisotropic glasses is lower than that of pristine glasses. Pre-deformed glass shows a clear directional dependence with respect to the axis of the pre-deformation. In general, the Young’s moduli of the pre-deformed glasses are lower than those of pristine glasses. These findings provide insights into the origin of deformation-induced anisotropy in metaphosphate glasses and its influence on their mechanical properties, thus providing important insight for the rational design of oxide glasses with tailored material properties.

Оценка питательности различных видов кормов, заготовленных из кукурузы, в зависимости от уровня химизации и почвенного покрова Республики Татарстан

It is known that from the same corn plant material one can prepare silage, cornage, flattened grain or grain for fodder. Each of them contains completely different amounts of nutrients and a wide range of gross feed units. The research results show a direct dependence of the choice of method of using corn on the zonal characteristics of the soil cover, the existing level of chemicalization and the power supply of agricultural units of the Republic of Tatarstan. It should also be particularly emphasized the high efficiency of the integrated use of agrochemicals on leached chernozems of the Republic of Tatarstan. Despite 5 years of liming, phosphorite treatment, the use of zeolite, and the application of NPK with the expectation of obtaining 35 t/ha of green mass, 10.6 t/ha of additional products were obtained, which is 34.6 percent higher than the control. In this version of the experiment, agromeliorants ensured the production of 41.2 t/ha of green mass versus 33.8 t/ha with the application of nitrogen, phosphorus and potassium fertilizers without prior liming and phosphorite treatment in combination with the use of a prolongator (zeolite) at the rate of 0.5 t/ha. It was also revealed that for the production of flattened grain or cornage with a gross harvest of feed units of 7.94-8.82 t/ha on leached chernozem soils of the Republic of Tatarstan, which account for 83,103 hectares of arable land, the integrated use of agromeliorants and calculated norms of minerals for corn is recommended fertilizers Liming of acidic dark gray and gray forest soils with phosphorite treatment and the addition of zeolite in combination with the use of calculated rates of mineral fertilizers ensures an increase in the gross collection of feed units in corn silage from 4.22 to 6.13 and 3.34 to 5.86 t/ha respectively.

Effect of vaccination on the course of novel coronavirus infection in young patients

The features of the course of the new coronavirus infection in vaccinated and unvaccinated young patients (aged 18–35 years) were assessed. In total, 111 patients with new coronavirus infection were examined, and they were divided into two groups. The first group included 32 people vaccinated against the new coronavirus infection (21 men and 11 women; average age, 22. 31 ± 5. 04 years), and the second group included 79 unvaccinated people (70 men and 9 women; average age, 20. 76 ± 3. 674 years). A direct dependence of hospitalization time on the presence of vaccination was observed. The average volume of erythrocytes was significantly greater in the vaccinated group than in the unvaccinated group, and the average concentration of hemoglobin in erythrocytes was higher in the unvaccinated group, both at disease onset and over time. In addition, in the vaccinated group, the values of inflammatory markers in the blood such as erythrocyte sedimentation rate, C-reactive protein, ferritin, procalcitonin, and D-dimer, increase much faster. According to the results of repeated computed tomography, the unvaccinated group had longer persistence of signs of viral pneumonia. The primary pathology recorded on the electrocardiogram, particularly bradycardia, was more frequently recorded in the unvaccinated group. Overall, most patients, regardless of vaccination, had a mild course of new coronavirus infection. This may indicate a negative dependence of the severity of the new coronavirus infection on the age of the patient. Despite the low risk of developing complications of coronavirus infection at a young age, to prevent and quickly recover from a new coronavirus infection, all age groups are encouraged to receive vaccination, which will reduce the number of hospitalizations, burden on healthcare, and economic costs of medical care.

Status and prospects of beef and veal production in Ukraine in the context of international economic integration

Beef production is driven by the need to ensure the country’s food security, meet the processing industry’s demand for raw materials, and increase state budget revenues from exports. The purpose of this study was to highlight the status and trends of production in the world and Ukraine, to identify issues and find areas of development considering international economic integration. The methods employed were analysis, synthesis, generalisation, specification, mathematical, and graphical. The study identified the upward trend in global beef and veal production, the main producing countries and the predominant stability of their share in global volumes over the decades. It was found that higher beef production does not always allow for higher per capita volumes (e.g., in China and India). Ukraine’s production and its share in global volumes are declining, although production exceeds consumption. It was found that the share of agricultural enterprises in the structure of economic entities is decreasing, and there is a direct dependence between their number and production volumes, which prevails in the Forest-Steppe zone. The largest producing regions (Kyiv, Vinnytsia, Kharkiv, Lviv) were highlighted, where priority development in the post-war period is expected. The study found the principal reasons for the decline in production, including a decrease in livestock numbers, negative profitability, and rising average consumer prices. Based on the SWOT analysis results, development prospects were identified and relevant proposals were developed. The reasons for the decrease in the number of cattle and beef were proposed to be distinguished as general, and those related to enterprises and household farms; their interdependence was emphasised. The study stressed the need for state support for producers by providing food aid to the population free of charge and by purchasing products at lower prices depending on their financial level. International economic integration was singled out as one of the key factors of increasing beef production. The study emphasised the need to consider the consumer preferences of the population of countries with which regional trade agreements have been concluded, specifically regarding the production of kosher and halal products. The findings of this study and the proposals provided can be used to develop government measures to increase beef production and increase its share in world exports

Modeling Structured Dependency Tree with Graph Convolutional Networks for Aspect-Level Sentiment Classification.

Aspect-based sentiment analysis is a fine-grained task where the key goal is to predict sentiment polarities of one or more aspects in a given sentence. Currently, graph neural network models built upon dependency trees are widely employed for aspect-based sentiment analysis tasks. However, most existing models still contain a large amount of noisy nodes that cannot precisely capture the contextual relationships between specific aspects. Meanwhile, most studies do not consider the connections between nodes without direct dependency edges but play critical roles in determining the sentiment polarity of an aspect. To address the aforementioned limitations, we propose a Structured Dependency Tree-based Graph Convolutional Network (SDTGCN) model. Specifically, we explore construction of a structured syntactic dependency graph by incorporating positional information, sentiment commonsense knowledge, part-of-speech tags, syntactic dependency distances, etc., to assign arbitrary edge weights between nodes. This enhances the connections between aspect nodes and pivotal words while weakening irrelevant node links, enabling the model to sufficiently express sentiment dependencies between specific aspects and contextual information. We utilize part-of-speech tags and dependency distances to discover relationships between pivotal nodes without direct dependencies. Finally, we aggregate node information by fully considering their importance to obtain precise aspect representations. Experimental results on five publicly available datasets demonstrate the superiority of our proposed model over state-of-the-art approaches; furthermore, the accuracy and F1-score show a significant improvement on the majority of datasets, with increases of 0.74, 0.37, 0.65, and 0.79, 0.75, 1.17, respectively. This series of enhancements highlights the effective progress made by the STDGCN model in enhancing sentiment classification performance.

Sound radiation patterns of the Sarasvati Veena and their relation with the modal behavior of its top plate

The large wooden resonator of the Sarasvati Veena amplifies and radiates the sound in almost all directions. The directional and spatial dependence of this radiation is studied in conjunction with the mode shapes of the top plate of the resonator. Sound radiation patterns are simulated theoretically using the nodal displacement data obtained from the numerical modal analysis of the resonator. The experimental analysis involves the manual plucking of the Veena string. The radiated sound is recorded by placing microphones around the resonator in circular arrays of different radii in the different planes. These combinations of arrays at different distances and planes provide a thorough knowledge of sound radiating out of the resonator. The intensities of different frequencies in the recorded spectral data as functions of direction and distance from the approximate center of the top plate of the resonator are studied. Experimentally measured patterns show the importance of the top plate over the body of the resonator. Theoretical and experimental radiation patterns for different harmonics of the plucked string are compared and a good match is observed. The behavior of the radiating sound in the different planes at different radial distances from the assumed center is discussed.

Phytoplankton physiology and functional traits under artificial upwelling with varying Si:N

IntroductionArtificial upwelling has been discussed as a nature-based solution to fertilize currently unproductive areas of the ocean to enhance food web productivity and atmospheric CO2 sequestration. The efficacy of this approach may be closely tied to the nutrient stoichiometry of the upwelled water, as Si-rich upwelling should benefit the growth of diatoms, who are key players for primary production, carbon export and food web efficiency.MethodsWith a mesocosm experiment in subtropical waters, we assessed the physiological and functional responses of an oligotrophic phytoplankton community to artificial upwelling under varying Si:N ratios (0.07-1.33).ResultsDeep water fertilization led to strongly enhanced primary productivity rates and net autotrophy across Si scenarios. At the community level, Si-rich upwelling50 temporarily increased primary production and consistently enhanced diatom growth, producing up to 10-fold higher abundances compared to Si-deficient upwelling. At the organism level, contrasting effects were observed. On the one hand, silicification and size of diatom cells remained unaffected by Si:N, which is surprising given the direct dependency of these traits on Si. On the other hand, diatom Chlorophyll a density and carbon density were strongly reduced and particulate matter C:N was elevated under Si-rich upwelling.DiscussionThis suggests a reduced nutritional value for higher trophic levels under high Si:N ratios. Despite these strong qualitative changes under high Si, diatom cells appeared healthy and showed high photosynthetic efficiency. Our findings reveal great physiological plasticity and adaptability in phytoplankton under artificial upwelling, with Si-dependent trade-offs between primary producer quantity and quality.

ТЕОРЕТИЧНІ АСПЕКТИ МАРКЕТИНГОВОГО ЗАБЕЗПЕЧЕННЯ ЕКСПОРТНОГО ПОТЕНЦІАЛУ ПІДПРИЄМСТВ АГРОБІЗНЕСУ

The article deals with modern problems of marketing support or support for export activities of agricultural enterprises in the context of the globalization of the world economy in the context of the entry of agricultural formations into world food markets and the formation of production and trade relations with new partners. The categorical content of the concepts "marketing support", "marketing support", "export potential", "agrarian enterprise", and "globalization of business" was considered. The views of domestic scientists regarding the use of the specified terms in scientific works of various specialties are analyzed and summarized. The possibility of increasing the export potential of agrarian societies due to the modernization of certain technological components of production and trade activities and the production of high-quality plant raw materials or safe food products was investigated. The described approach coincides with the international practice of selling agricultural products on world food markets in accordance with the developed and agreed quality standards of plant raw materials and food products. Thus, the issue of solving modern logistics problems is seen as a key component in marketing support for the export potential of business in the sector of agricultural production. According to the text of the intelligence, it is determined that the significant natural and land resources of Ukraine create conditions for the development of organically sustainable agriculture with a rational regime for the use of agricultural land with the introduction of a complete system of standardized restrictions or obligations. It is explained that a peculiar feature of the export activity of agricultural enterprises is their direct dependence on the state of fertility of agricultural lands, as a natural resource, a spatial basis, an object of application of human labor and the main means of production. The urgent importance of the protection and restoration of agricultural land on the way to the transition to ecologically safe and resource-saving agriculture has been clarified.

Calculation of the water flow rate of Micro HPP depending on the water fall angle in ideal cases

The paper describes the technology for generating electrical energy in small hydroelectric power plants, in the absence of a natural descent of water flows. It is known that the main parameter for obtaining electrical energy is the water flow, which includes the speed of the water. Along with this, the paper theoretically considers the calculation of the resulting velocities of water flows in small hydropower structures. The calculations took into account the ideal, natural and real model of the process of increasing the efficiency in the hydraulic system when using artificial reservoirs with a dam. At the same time, the pattern of modeling various vectors from the initial flow, a term with the potential energy of the accumulated total mass in the cavity of the hydropower structure itself, was considered. This ensured growth and increase in modulus and in other parameters of the vector and force characteristics of the flow, leading to an increase in the overall efficiency of the complete structure. And this already led to an increase in the generation of electrical energy in the installation itself, which has a direct dependence on the momentum and on the flow rate. In conclusion, an output expression is given for calculating the resulting velocity in the system. It is concluded that the construction of the proposed hydropower structures increases the efficiency of hydroelectric power generation.

ON STYLISTIC DIFFERENTIATION IN UKRAINIAN POETIC SPEECH BASED ON THE SYNTACTIC STRUCTURE OF SENTENCES

Background. The article is devoted to the stylistic differentiation of syntactic structures of Ukrainian-language poetic texts of the Ukrainian language corpus. The goal is to study the idiostyle on models of syntactic structures, graphically presented in the form of dependency trees, with the establishment of parameters for characterizing the author's style. The properties of the linear structure of 7,752 Ukrainian-language sentences in the verse style were studied. An "averaged" dependency graph was built for each author as a generalization of the syntactic parameters of dependency trees. Methods. Applied methods of structural linguistics included quantitative methods and modeling methods, distributive analysis, direct component method, method of constructing dependency trees (DT) and direct components in linguistic analysis modules: automatic morphological (distributive) and automatic syntactic (direct component and dependency tree method). Results. As a result of the study, it was established that the architecture of the phrase is important, that is, a scheme in the form of a graph that reflects the real sequence of syntactic elements of the statement. If the author has developed his individual writing style, this will inevitably affect the originality of the graphic drawings for the structures of his typical phrases. It is in syntactic stylistics that dependence graphs as a research method will find an unlimited field of application. Eight graph parameters are proposed, the choice of which is determined by the fact that they have stylistic distinguishing power. Conclusions. To justify the applied method of statistical analysis, it can be said that in stylistics each analysis gives only what it can give; the overall research picture consists of a comprehensive review of the results of all analyses. Qualitative methods can describe what is perceived from the text through its symbolic character, but only quantitative methods can explain why the text is constructed in the way it is. Qualitative characteristics consist of precisely those quantitative characteristics that cannot be seen by the average reader, and their detection is the task of science.

АППРОКСИМАЦИЯ ПРОГИБОВ ПЛАСТИНОК, ЛЕЖАЩИХ НА ВИНКЛЕРОВОМ ОСНОВАНИИ

The purpose of this research is to develop the method of shape factor interpolation for calculating the maximum deflection of thin plates on an elastic Winkler base, which are widely used in modeling the operation of elements of building constructions of buildings and structures. The above calculation method allows to obtain solutions based on direct analytical dependences, the argument of which is an integral characteristic of a flat convex one-connected area - the shape factor. This characteristic has applications in a number of problems of mathematical physics and is known from the works of scientists G. Polia and G. Szegö. The shape factor was first applied to the calculation of plates by Professor V.I. Korobko. The method of interpolation by shape factor was developed by Professor A.V. Korobko. When determining the maximum deflection of thin plates on an elastic base, some parameters of the problem are considered as functions of the shape factor of the plate in consideration and are determined by the type of boundary conditions on its contour. The present study is devoted to the construction of approximating functions for continuous sets of plates of characteristic outlines and boundary conditions. The paper presents functions for calculating the maximum deflection of elastic plates in the form of isosceles triangles, rhombuses and rectangles. The plates with various combinations of hinged support and rigid pinch along their individual sides, loaded with a continuous uniformly distributed load, are considered. The established functional dependences are intended for direct use in the calculation of plates of the specified outlines, as well as for obtaining reference solutions during interpolation of the values of maximum deflections of plates of more complex outlines.

ОЦЕНКА ЭФФЕКТИВНОСТИ ИНТЕНСИФИКАЦИИ ПРОИЗВОДСТВА МОЛОКА В СЕЛЬСКОХОЗЯЙСТВЕННЫХ ОРГАНИЗАЦИЯХ КРАСНОЯРСКОГО КРАЯ

The authors provide an analysis of the main trends in the development of the dairy cattle breeding industry in the Krasnoyarsk Territory. The level of intensification of milk production in agricultural organizations in the region was assessed based on a set of indicators. A direct proportional dependence of the economic efficiency of the dairy cattle breeding industry on the level of its intensification has been revealed.

From Direct to Directional Variable Dependencies – Non-Symmetrical Dependencies Discovery in Real-World and Theoretical Problems

From Direct to Directional Variable Dependencies – Non-Symmetrical Dependencies Discovery in Real-World and Theoretical Problems

BIOMETRIC PARAMETERS OF SUNFLOWER HYBRID PLANTS UNDER THE INFLUENCE OF FEEDING CONDITIONS AND RETARDANT

Crop productivity management is aimed at forming optimal crop parameters that would provide maximum opportunities in the activity of the photosynthetically active surface of plants, contributing to the assimilation and accumulation of dry matter. The activity of crop is determined not only by the indicators of the leaf surface area, but also by the parameters of the leaves, their quantity, tiering, and the height of the plant. Correlation analysis between plant height and stem diameter shows a direct positive correlation dependence, with correlation coefficients depending on the hybrid of 0.947-0.976. There is a direct correlation between plant height and the number of leaves on a plant, with correlation coefficients of 0.756-0.791. The maximum values of biometric parameters (plant height, stem diameter, number of leaves on a plant) were obtained on the variants of the RGT Wollf hybrid with the application of N120P80K180. Increase in biometric parameters of sunflower plants was observed according to increasing doses of fertilizers. The difference in these indicators between the variants N120P80K180 and N100P65K150 was insignificant. The use of the Setar retardant ensured a decrease in the height of the plants and contributed to an increase in the number of leaves on the plant and the diameter of the stem.

ПОСТОЯНСТВО И ГИБКОСТЬ СОБСТВЕННОСТИ НА РАБОЧУЮ СИЛУ

The purpose of the article is to study the content of ownership of labor, its forms, and types, their real manifestation and implementation of the main features, and to attract the attention of numerous subjects of the designated processes to take the necessary regulatory measures. The object of the study is labor ownership, which functions in the main part of the Russian economy. The subject of the study is political, economic, social and labor relations between participants in social production regarding the formation of labor, its ownership and implementation. The author uses scientific abstraction, logical, historical, cause-and-effect, comparative, and dialectical methods. The scientific novelty of the paper lies in the concretization of the essence of labor ownership, the formulation of the forms and types of its manifestation, as well as its main features – permanence and flexibility. The research results include the author’s conclusions and recommendations, and the direct dependence of the manifestation of labor ownership on the forms and types of ownership of the production conditions. The significance of the article is due to its usefulness to the main part of the economy, to authorities at all levels in the course of their implementation of property policies in general and for labor in particular, as well as to various educational institutions in which students study these aspects.

СОЦИАЛЬНО-ПСИХОЛОГИЧЕСКОЕ БЛАГОПОЛУЧИЕ КАК ФАКТОР АКТУАЛИЗАЦИИ ГРАЖДАНСКОЙ СОЛИДАРНОСТИ ЛОКАЛЬНЫХ СООБЩЕСТВ

Conducting research in the area of factors of civic solidarity in Russia is determined by current processes of consolidation under conditions of exogenous geopolitical risks and threats, and common strategic course for building responsible society. The study is intended to provide a foundation for the nature and role of socio-psychological well-being of citizens in the actualization of civic solidarity of local communities. The nature of social and psychological well-being as an intangible resource for the development of local communities is defined as a subjective perception of Oneself and Others through cognitive, emotional and activity assessments, constructed under the influence of learned values of spatial and territorial identity, experience of social interaction, objective factors of the surrounding reality. The empirical part of the study is based on the results of expert interviews (N = 45) and online surveys (N = 969) of residents of three subjects of Southern Russia - Krasnodar Territory, the Republic of Adygea and the Republic of Crimea. It is revealed that citizens’ subjective perception of well-being and the possibilities of its increment has a personalistic and pragmatic character. At the same time, military-political tension, which creates significant threats and risks for communities in the South of Russia, has determined transformations in civil assessments and attitudes: a sense of belonging to the fate of fellow villagers / townspeople / fellow citizens involved in conducting a special military operation of Russia, and the direct dependence articulated by experts between individual and collective (national) well-being form the basis of mutual assistance practices.

Анализ использования искусственного интеллекта в отраслях экономики и системе региональной исполнительной власти Российской Федерации

Announced as part of the Presidential Address to the Federal Assembly in February 2024, the Data Economy national project defines the demand for artificial intelligence (AI) technology in the system of public administration, economic sectors and business activities. AI technology is increasingly penetrating business activities, production processes, and the system of public administration, creating the need to improve methods for assessing its impact on economic development. The goal of the work is to supplement the methodological tools for assessing the level of use of AI in the economy of the Russian Federation. The object of the study is the use of AI in certain sectors of the economy and regions. The subject of the study is the interrelation between the balanced income of economic sectors, regions of the Russian Federation and indicators of the use of AI in entrepreneurship and public administration practice. The work considers AI not as a separate branch of the economy, but as a technology that, in turn, has an impact on the development of individual industries and regions. The author identified a direct dependence of the positive financial results of the activities of individual sectors of the economy, regions and the use of AI technology in them. The study shows that regions and industries with a relatively more favorable financial position use AI more actively. On the one hand, this creates opportunities for the development of industries and regions; on the other hand, it creates a lag in the application of AI technology. The obtained result is applicable in the system of state planning, determining priorities for economic development of both individual industries and the economy as a whole.

Digital maturity of industrial enterprises: Evaluation experience

The article is devoted to the study of theoretical and practical aspects of assessing the digital maturity of enterprises and their readiness for digital transformation in accordance with the challenges of the digital economy. The purpose of the article is to determine the relationship between digital maturity and digital readiness of enterprises, prerequisites, factors and conditions for their improvement. The achievement of the goal is ensured by the use of methods of comparative analysis, a system-structural approach, theoretical analysis of publications, the use of empirical methods, in particular questionnaires, quantitative methods and qualitative expert assessment. The possibility of applying digital maturity assessment models to study the readiness of industrial enterprises for digital transformation is being investigated. The criteria for assessing the digital maturity and digital readiness of enterprises are highlighted. In the course of the study, hypotheses were confirmed that there is a direct dependence of the readiness of industrial enterprises for digital transformation on the achieved level of digital maturity of technologies and business processes in the company, as well as on the received and expected effects of digitalization, accumulated economic potential and projected risks. The main theoretical and methodological conclusions are outlined in the context of the identified factors, prerequisites, conditions for increasing digital maturity and readiness of enterprises for digital transformation. The necessity of a systematic study of the influence of digital potential factors, various external and internal risk factors on the digital readiness of industrial enterprises for the development of strategies, long-term plans and projects of digitalization and digital transformation is emphasized.