Methods Of Analyses Research Articles

Thermal and mechanical analysis of wheel rim in Formula 1 vehicles

The wheel rim is a metal or alloy component that holds the tire and connects it to the vehicle. The wheel rims of Formula 1 cars are exposed to thermal stresses during the race and frequent braking at high speeds. In addition to thermal resistance, wheel rims must possess high mechanical durability. Therefore, material selection is crucial, along with the designs of the wheel rims. In the production of wheel rims for Formula 1 vehicles, magnesium, aluminium, and carbon fibre wheel rims are commonly used. Each of these materials has its advantages and limitations. Optimization processes in Formula 1 technology aim to reduce mass while increasing mechanical and thermal properties. Therefore, alloys used in wheel rim production are continuously evolving. In this study, deformation, stress, and temperature values were investigated using the Computational Fluid Dynamics (CFD) method by exposing Mg AZ80, Al 6061-T6, and carbon fibre to conditions of 300?C temperature, 1 MPa pressure, and 300 km/s speed. Turbulence modelling was carried out using the k-? method in numerical analyses, which utilized a mesh file consisting of approximately 2 million grids. As a result, the highest deformation in mechanical pressure analyses was obtained using Mg AZ80 material. In contrast, carbon fibre achieved the lowest deformation value in the analysis. Regarding thermal results, the lowest temperature value of 282.75?C was obtained from the wheel rim made of carbon fibre, whereas with the use of Mg AZ80 material, this value reached up to 292.03?C. Considering these values, it was concluded that carbon fibre is the most suitable wheel rim material for Formula 1 race cars.

Mass and tidal parameter extraction from gravitational waves of binary neutron stars mergers using deep learning

Gravitational Waves (GWs) from coalescing binaries carry crucial information about their component sources, like mass, spin and tidal effects. This implies that the analysis of GW signals from binary neutron star mergers can offer unique opportunities to extract information about the tidal properties of NSs, thereby adding constraints to the NS equation of state. In this work, we use Deep Learning (DL) techniques to overcome the computational challenges confronted in conventional methods of matched-filtering and Bayesian analyses for signal-detection and parameter-estimation. We devise a DL approach to classify GW signals from binary black hole and binary neutron star mergers. We further employ DL to analyze simulated GWs from binary neutron star merger events for parameter estimation, in particular, the regression of mass and tidal deformability of the component objects. The results presented in this work demonstrate the promising potential of DL techniques in GW analysis, paving the way for further advancement in this rapidly evolving field. The proposed approach is an efficient alternative to explore the wealth of information contained within GW signals of binary neutron star mergers, which can further help constrain the NS EoS.

Hydrochemical and Isotopic Characteristics and the Spatiotemporal Differences of Surface Water and Groundwater in the Qaidam Basin, China

In the context of climate change, precipitation and runoff in the arid inland basins of northwest China have undergone significant changes. The Qaidam Basin (QB) is a typical highland arid inland area. Understanding the spatial and temporal variations in surface water and groundwater chemistry and isotopes, as well as their causes, is crucial for future water resource management and ecological protection. Samples of river, lake, and groundwater, as well as others, were collected and tested in five typical watersheds in the summer and winter. The hydrochemistry and isotopic spatiotemporal differences in various water bodies were studied using the significant difference method, water vapor flux models, hydrochemistry, isotopes, and other methods for cause analyses. The results indicate the following: (1) There are differences in hydrochemistry between the southern and northern basins because the southern basin is more influenced by the dissolution of salt rocks and evaporation, whereas the northern basin is mainly affected by carbonate weathering. (2) The enrichment of δD and δ18O in the northern basin gradually increases from west to east, while in the southern basin, it is the opposite. This is because the southern basin receives a larger contribution of water vapor from the mid-latitude westerlies, while the northern basin primarily relies on local evaporation as its water vapor source. (3) Significant differences are observed in the total dissolved solids (TDS) and hydrochemical types of river water and groundwater between the summer and winter due to higher rates of rock weathering and evaporation in the summer. (4) The more pronounced seasonal differences in hydrogen and oxygen stable isotopes in the southern basin are due to higher rates of internal water vapor circulation in the summer. (5) The similarity in characteristics between river water and groundwater is the result of strong exchanges between river water and groundwater from piedmonts to terminals. The spatiotemporal heterogeneity of terminal lakes is attributed to the accumulation of salts and groundwater replenishment from other sources.

Strategies of consecutive interpretation in joint press conferences

This article deals with problems of interpretation of political discourse in joint press conference. Novelty of research is identified by the lack of domestic publications in the field of Translation studies on press conferences in the context of Kazakhstan’s foreign policy. Article examines characteristic features of consecutive interpretation of political media discourse. The need of effective strategies that help to provide adequate interpretation is identified and justified. On the basis of the study the authors suggest that backgroundknowledge on communicative situation enables interpreter to solve tasks caused by time deficiency and different semantic structures. It is proved that use of compression, decompression and re-ordering string in consecutive interpretation is key to reach communicative equivalence in target text. Results show that juxtaposition of strategies in one discursive segment illustrates that inherent cognitive feature of interpretation process. Article consists of literature review, methods of research, description and analyses of research material.

Confocal Scanning Laser Microscopic (CSLM) characterization of volcanic rocks

Optical and microscopical analyses of surficial and internal textures are key elements of volcanic rock characterization. Yet conventional methods for textural analyses often pose challenges and difficulties in terms of sample preparation and/or time and resources consumption, beside their inherent limitations. Here, we performed Confocal Scanning Laser Microscopy (CSLM) to characterize vesicles in volcanic rocks and their experimental analogs and to compare the results to those of conventional Scanning Electron Microscopy (SEM) investigations. Further, we discuss surface roughness analysis as a possible parameter to analyze different vesicle textures. CSLM obviates the need for sample impregnation (using fluorescent resin) and polishing, it enables fast and automated analyses of samples surfaces at lower costs than conventional techniques. Calculated vesicle size distributions and vesicle number densities of the analyzed samples were compared in order to determine the potential and precision of volume and area information directly obtainable from CSLM measurements in 3D. Monodisperse samples with homogeneous vesicle texture show remarkable similarities in vesicle size and volume distribution, when compared directly with the two methods. For all experimental and natural samples, roughly half of them show VNDs and porosity show the same range, which can be explained by vesicle coalescence. After de-coalescing the images of CSLM for FOAMS analysis, these differences vanish almost entirely for most of the sample types. Combining our textural data and our numerical modeling, we present a universal scaling model to link surface roughness with vesicle number density, porosity, and polydispersivity. These results indicate that CSLM can be a powerful tool to investigate vesicle structures from the millimetric to micrometric scale. The resulting data is both quantitatively and qualitatively equivalent to SEM-derived data for a variety of volcanic rock types. This, combined with the simple sample preparation and handling make CSLM a valid alternative to SEM investigations to characterize vesicles, particles, and any sort of rock property that reflects on topography. Surface roughness can become a new key parameter to interpret porous networks in volcanic rocks and can be applied to other geological fields.

СОВЕРШЕНСТВОВАНИЕ РАЗВИТИЯ ТУРИСТСКОЙ ИНФРАСТРУКТУРЫ РЕГИОНА

The article is devoted to improving the development of tourism infrastructure in the region. The purpose of the study is to analyze the development of tourism infrastructure in the regions, in particular collective accommodation facilities, to identify the advantages and disadvantages of its development, and to trace its overall dynamics. An analysis of literary sources on the research issues in recent years was carried out. The methodological basis was the methods of comparative and calculation-analytical analyses, including the collection and analysis of the main indicators of the development of tourism infrastructure. A SWOT analysis of factors influencing the effectiveness of the development of tourism infrastructure in the regions of the Russian Federation was carried out. Based on the results of the analysis, potential opportunities and threats to its development were identified. Strengths and opportunities were found to outweigh weaknesses and threats. The mechanism for financing the development of tourism infrastructure is described and its effectiveness is analyzed. Recommendations were given to improve the mechanism for financing infrastructure projects, which include optimizing the number of projects in favor of their high-quality execution; establishing high-quality control over budget investments; development of tax breaks for participants in infrastructure projects; the use of PPP mechanisms, allowing businesses to share costs and risks with the state.

Research on Micro-Turbine Operating State Characterization Based on Bearing Vibration Signals Analysis

An air flow-driven micro-turbine, widely used in air-condition control systems in aircraft cabins, train coaches, etc., exhibits complex vibration behaviors under stable or unstable inlet flow conditions, and especially has a certain correlation with speeds. In this paper, the vibration responses of the micro-turbine undergoing stable and unstable inlet flows measured on a test rig are analyzed and compared by using different signal processing methods, which include time and frequency domain methods, and statistical and nonlinear methods. First, the test rig system of the airflow-driven micro-turbine, the instrument system and four typical experimental cases are introduced. Then the measured vibration signals are analyzed and compared by time domain characteristic parameters (peak-to-peak value, RMS value and kurtosis value), statistical parameters (auto-correlation and BDS), and amplitude spectra in the frequency domain, statistic spectrum indicators (SSI) based on Welch's periodogram of power spectra, and the spectra of selected IMF components based on Hilbert-Huang Transform (HHT). In particular, some nonlinear feature analyzing methods, including Pseudo-Poincare mapping diagrams and Lempel-Ziv(LZ) complexity, are also used for analyzing measured vibration responses. The obtained results using the above multiple methods are compared and show that, when the inlet flow of the turbine fluctuates significantly, the nonlinear characteristics of the turbine bearings are significantly higher than those of the relatively stable inlet flow and speed conditions. Under these circumstances, commonly used time-frequency analysis methods cannot characterize the different speed operating state of the turbine, and LZ-Complexity and other nonlinear characterization methods should be used to better understand the characteristics of different speeds under unstable conditions.This study provides references for the aerodynamic stability monitoring of the micro-turbine and its design improvement.

Multipliers based on EBITDA and DACF as an indicator of the investment attractiveness of domestic vertically integrated oil and gas companies

Subject. This article focuses on ratios of enterprise value to EBITDA and enterprise value to DACF of the twenty five leading publicly traded oil and gas companies within 2008 through 2018. Objectives. The article aims to trace key trends in ratios of enterprise value to EBITDA and enterprise value to DACF of corporations in the oil and gas industry, as well as identify key trends in their change within the studied period and identify the factors that caused those changes. Methods. For the study, I used the methods of comparative, financial and economic analyses, summarizing financial reporting data. Results. The article finds that EV/EBITDA and EV/DACF multiples are acceptable for valuing oil and gas companies. The EV level depends on profitability, proved reserves and a country factor. It is required to adjust EBITDA for information on impairment, revaluation and write-off for assets that are reported separately from depreciation, depletion and amortization costs, as well as for income or expenses arising after the sale of fixed assets and as a result of effective court decisions or settlement agreements. It is advisable to adjust DACF for income, expenses and changes in assets and liabilities, which are caused by events that are unusual for oil and gas companies. Adjustment for interest payments can come to the fore in the DACF when the adjustment factor is significantly outside the standard range, and then it is better to limit to the EV/CF multiple. Conclusions and Relevance. The application of EV/EBITDA and EV/DACF multiples requires a detailed analysis and if necessary, adjustments of their constituent components. However, they are quite relevant in the context of declining profitability and growing debt burden in the stock market sector of the global oil and gas industry. The findings can help appraise the value of oil and gas assets as part of a comparative approach and decide on actions for raising the market capitalization of publicly traded oil and gas corporations.

A CRISPR-based strategy for targeted sequencing in biodiversity science.

Many applications in molecular ecology require the ability to match specific DNA sequences from single- or mixed-species samples with a diagnostic reference library. Widely used methods for DNA barcoding and metabarcoding employ PCR and amplicon sequencing to identify taxa based on target sequences, but the target-specific enrichment capabilities of CRISPR-Cas systems may offer advantages in some applications. We identified 54,837 CRISPR-Cas guide RNAs that may be useful for enriching chloroplast DNA across phylogenetically diverse plant species. We tested a subset of 17 guide RNAs invitro to enrich plant DNA strands ranging in size from diagnostic DNA barcodes of 1,428 bp to entire chloroplast genomes of 121,284 bp. We used an Oxford Nanopore sequencer to evaluate sequencing success based on both single- and mixed-species samples, which yielded mean chloroplast sequence lengths of 2,530-11,367 bp, depending on the experiment. In comparison to mixed-species experiments, single-species experiments yielded more on-target sequence reads and greater mean pairwise identity between contigs and the plant species' reference genomes. But nevertheless, these mixed-species experiments yielded sufficient data to provide ≥48-fold increase in sequence length and better estimates of relative abundance for a commercially prepared mixture of plant species compared to DNA metabarcoding based on the chloroplast trnL-P6 marker. Prior work developed CRISPR-based enrichment protocols for long-read sequencing and our experiments pioneered its use for plant DNA barcoding and chloroplast assemblies that may have advantages over workflows that require PCR and short-read sequencing. Future work would benefit from continuing to develop invitro and in silico methods for CRISPR-based analyses of mixed-species samples, especially when the appropriate reference genomes for contig assembly cannot be known a priori.

Tax policy as an effective tool for the development of the region

Subject. The article addresses the tax policy of the region, using the case of the Republic of Mordovia. Under the changing situation and external sanctions pressure, the priority of the Republic’s tax policy is to prevent the complication of economic situation, ensure stable tax conditions for business entities, strengthen the revenue base of the budget, increase the effectiveness of stimulating function of the tax system. Objectives. The aim is to assess the regional tax policy implementation and develop recommendations for improvement in the context of socio-economic development of the region. Methods. The study employs methods of scientific knowledge, i.e. systems, structural, comparative analyses, induction and deduction, synthesis. Results. We assessed the implementation of region’s tax policy, investigated the tax policy in the context of socio-economic development of the Republic of Mordovia, identified the main directions of the tax policy improvement as part of stimulating the socio-economic development. Conclusions. With limited budget resources, in order to minimize threats to financial security of the Republic of Mordovia, the tax policy of the region is aimed at reorientation of scarce funds by their redistribution to maintain social and financial stability, create conditions for sustainable socio-economic development of the Republic. The effectiveness of the policy implies socio-economic development, enhancement of the welfare of the population, reduction in the share of the shadow economy, increase in the competitiveness of the region, and, as a result, the growth of tax revenues to the budget.

Eşek sütünden yapılan fermente kımız

The study aimed to expand the range of dairy products by developing a recipe and technology for a fermented milk drink made from donkey milk with unique properties. Additional functionality is provided by the introduced probiotic cultures and phytogenic raw materials. Two functional drinks were proposed as experimental products: Koumiss-1 - koumiss with added probiotics and peony tincture, and Koumiss-2 - probiotic koumiss with added dried burdock roots. The initial raw material, donkey milk, was collected in the farm of the Ala Too State Farm located at an altitude of 800 m above sea level, in the Chui Valley of the Kyrgyz Republic. The standard methods of physicochemical, microbiological and organoleptic analyses were used for the study. The fermentation intensity (Is) and fermentation coefficient (δ) were determined for each case based on the data on the change in active and titratable acidity during the fermentation of milk with koumiss ferment. In the sample of koumiss-1 with the addition of peony tincture δ appeared in the first 3 hours, and δ in koumiss-2 was closer to 6 hours. Based on organoleptic evaluations, the developed drinks exhibit a pleasant sour-milk aroma and taste. The consistency is liquid with a slightly foamy texture, while the drink with added burdock roots has a pleasant creamy flavor. Lactic acid bacteria and yeast are similar to the specifications found in natural koumiss made from mare's milk. Throughout the experiment, sour-milk beverages were successfully produced, and they can potentially to fill the market niche for functional products with medicinal properties.

Paul, the prisoner (Acts 23:34-35): An insight into 2018-2022 political prisoner’s rights in Zimbabwe

Undisputed letters of Paul and Acts of the Apostles are replete with details of the Gentile Missionary’s multiple imprisonments, so much as to qualify him a ‘jailbird’ description. Paul’s incarceration in Herod’s palace for 2 years (Ac 23:34–35), his arraignment before Governor Felix and subsequent detention for 5 days before plea (Acts 24) on charges of inciting public violence, being a ringleader of a cultic faction and causing disturbances in the Jerusalem Temple, resonate with the contentious arrests and imprisonment without bail and trial of members of opposition political parties in Zimbabwe. Consistent with New Testament passages that exhort caring for prisoners and the need to grant justice to those facing trial, this study seeks to understand how inmates in Zimbabwean prisons have been on the receiving end of relics of the ancient Roman Legal system in the country’s Human Rights history between 2018 and 2022. The article demonstrates how the New Testament can be deployed to grapple with distress calls emerging from Zimbabwe’s prison walls as part of advocacy for judicial reforms in the country’s quest for rule of Law. At the end, the article recommends ways in which Churches in Zimbabwe can tap from New Testament passages how to operate an effective prison ministry in liaison with the Prisons and Correctional Services Department of the Government of Zimbabwe. The article employs qualitative methods of Socio-Historical and Ethnographic Analyses to discuss how human rights pitfalls in Paul’s imprisonments present remedial lessons in Zimbabwe’s quest for judicial reforms.Contribution: Deployment of the Bible to redress Human Rights issues in Zimbabwe. Demonstration of how Early Christian Literature can dialogue with contemporary African Sitz im Leben for social transformation.

Features of the olonkho "Duguya Bege" (towards the formulation of a comprehensive study)

In the context of the introduction of post–non-classical paradigms in the study of oral folk art, it seems timely to turn to one of the brightest examples of folk art of the northern local tradition - the text of olonkho "Duguya Bege", highly appreciated at one time from a scholarly point of view by folklorists S. I. Bolo, V. M. Nikiforov, historian A. P. Okladnikov. The novelty of this study lies in an attempt to identify the ways of further research of the text of this peculiar olonkho, as well as the map of the epic universe attached to it, containing valuable information about historical, ethnographic, toponymic and hydronymic facts. The purpose of this article is to highlight the features of the linguistic fabric, structure, semantics, semiotics of the olonkho "Duguya Bege" and to identify the vector of a comprehensive discussion of problems in its research. The work implements a historical approach, uses methods of review, hermeneutics, generalization, structural and functional analyses. The author dwells on the description of the structural organization, some semantic features, the specifics of the image system, the saturation of the sign system, the originality of the linguistic fabric, the variety of applications of artistic and visual means, genre relationships in the studied olonkho. It is reported that the observation of elements of sarcasm, humor and other forms of comic in the text may indicate the former existence and development of national satire in the Oymyakon tradition. The author comes to the conclusion about the need for a comprehensive study of the text and the epic map of the olonkho world model "Duguya Bege" from the perspective of knowledge and methods of other sciences – history, ethnography, linguistics, geography, semiotics, mythology, which indicates the prospects for further work with this multilevel and multidimensional epic text.

Pengaruh Komitmen Profesional, Personal Cost, dan Gender Terhadap Intensi Whistleblowing

This study aims to examine whether there is an influence of professional commitment, personal cost, and gender on whistlenlowing intention. The population in this study were auditors who worked at KAP in East Jakarta. The number of samples in this study were 41 respondents. The sampling technique uses purposive sampling method. The research method used is quantitative with primary data sources. The methode of data analysis uses multiple linear regression analysis with SPSS version 25. The results of this study prove empirically that personal cost have a positive significant effect on whistleblowing intention. Meanwhile professional commitment and gender have no effect on whistleblowing intention

Seismic Vulnerability of Segmental Bridges with Drop-In Span by Pushover Analysis

Insight into the application of pushover analysis to prestressed concrete segmental bridges built in the 1950s–1970s by cantilevering with medium-large span length is provided. Seismic assessment must be carried out considering the whole structural response and, in particular, the task of tall piers, bearings, and drop-in spans with Gerber saddles, which are likely to be subjected to girder pounding and/or unseating. In this paper, the assessment of seismic vulnerability is initially performed by linear modal dynamic analysis; then, the efficiency in assessing the seismic response of different methods of pushover analyses is compared, assuming as a benchmark the results of non-linear time history analysis. The outcomes show that, for the bridge with the drop-in span, criteria for selecting the load pattern considered in pushover analysis, the reliable modeling of the bearings, and tall piers play a dominant role in the assessment of the seismic vulnerability, particularly in longitudinal motion.

Cultural codes: the semantics of bread in english proverbs and sayings

An anthropological character of the language is one of the most current research paradigms of linguistic culturology. Within the mentioned aspect, language is considered a system of signs to which a group of people ascribes certain meanings in accordance with the specifics of their world perception and processing. Proverbs and sayings are texts that contain didactic and cultural information on values and representations of different ethnic groups. Traditional nature is the key feature of folklore texts, and in this context paroemias can be investigated as cliches that include culturally explained signs or codes, combination of which forms the language of culture, structures and estimates the reality. The aim of the paper is to reveal semantic characteristics of a gastronomic word ‘bread’ in English folklore on the examples of proverbs and sayings. The objectives were the following: to study the texts of paroemias with the component ‘bread’ and its synonym ‘loaf’; to determine semantic groups (macrofields) defining functional, axiological and mythological aspects of bread; to identify traditional representations verbalized in English paroemias. To obtain the aim of research we applied the methods of contextual, semantic, semiotic and interpretative analyses; the complex of applied methods allowed revealing key symbolic meanings of the basic food in English folk texts. In the course of the study we obtained the following results: in paroemias there is a mythologem of the bread alone and spiritual bread; we found some texts verbalizing a topic of punishing for sins by hunger; gastronomic code ‘bread’ reflects the elements of archaic and domestic traditions of England as well as realia, euphemisms and superstitions; bread serves an instrument for comparison, a symbol of Christian religion denoting the God’s gift; bread is the main attribute of wellness and poverty, labour and idleness, it represents basic demand in food and material values in the life of a human-being.

Multi-Stage Operation Optimization of PV-Rich Low-Voltage Distribution Networks

The high expansion of a variable and intermittent nature of distributed generation, such as photovoltaics (PV), can cause technical issues in existing distribution networks (DN). In addition to producing electrical energy, PVs are inverter-based sources, and can help conventional control mechanisms in mitigating technical issues. This paper proposes a multi-stage optimal power flow (OPF)-based mixed-integer non-linear programming (MINLP) model for improving an operation state in LV PV-rich DN. A conventional control mechanism such as on load tap changer (OLTC) is used in the first stage to mitigate overvoltage caused by PVs. The second stage is related to reducing losses in DN using reactive power capabilities from PVs, which defines the optimization problem as a fully centralized observed from the distribution system operator’s (DSO) point of view. The optimization problem is realized under the co-simulation approach in which the power system analyzer and computational intelligence (CI) optimization method interact through an interface. This approach allows keeping the original MINLP model without approximations and using any computational intelligence method. OpenDSS is used as a power system analyzer, while particle swarm optimization (PSO) is used as a CI optimization method in this paper. Detailed case studies are performed and analyzed over a single-day period. To study validation and feasibility, the proposed model is evaluated on the IEEE LV European distribution feeder. The obtained results suggest that a combination of conventional control mechanisms (OLTC) and inverter-based sources (PVs) represent a promising solution for DSO and can serve as an alternative control method in active distribution networks.

Numerical investigation of blockage effect for natural supercavitation

The aim of supercavitation technology is to minimize the wetted surfaces and reduce the viscous drag forces on the body. In this paper, the phenomenon of natural supercavitation is introduced and the characteristic parameters of this phenomenon are determined. Specific parameters of the supercavitation phenomenon are obtained in terms of drag coefficient, dimensionless cavity length, and cavity diameter from the experimental database. The purpose of gathering the experimental databases is to develop a numerical analyses method that solve supercavitating flows. After validation study is evaluated, a verification study is conducted for two different cavitation numbers. Moreover, the relationship between blockage effect and supercavitation parameters are investigated. The compression effect onto pressure distribution and velocity vectors are evaluated for 16 different blockage ratios at 3 different cavitation numbers via numerical analyses. The percentage differences of the cavity length, diameter and drag coefficient values are revealed based on the blockage ratio.

Advertising in Commercial and Industrial Journals Issued in the Tomsk Province in 1894–1903

Advertisements are an important source on the history of regional entrepreneurship and trade. The article considers the development of advertising in the Tomsk Province in the context of local modernization processes. Trade and industrial journals highlighted the socio-economic development of the region. They also revealed public interests and attitude to commerce, as well as pointed at the systemic changes that took place in Siberia in the late XIX – early XX centuries. The author used the methods of historical-systematic and content analyses to classify advertisements published in 1894–1903 by goods and services, territorial affiliation, and design. Local, metropolitan, nonresident, and foreign entrepreneurs offered the Tomsk population a diverse range of non-food, food, medical, and agricultural goods and services. The ads provided information on sale details, products, current prices, new offers, sales, and discounts. The growth of business activity in the Tomsk province in the late XIX – early XX centuries boosted the development of a single trading space, both on the provincial and domestic market.

Industrial development of the Ural Federal District under the new conditions: Problems and prospects

Subject. This article discusses the economic potential of the Ural Federal District regions. Objectives. The article aims to analyze the structure and changes in imports and exports in the manufacturing industry of the Ural Federal District, and identify key foreign partners – suppliers of equipment and components. Methods. For the study, I used the methods of statistical, comparative and structural analyses. Results. The article finds that imports are of particular importance for the modernization of industry. Based on the analysis of the changes in and structure of imports and exports in the regions of the Ural Federal District, the article presents data showing that industrial regions, in particular the Sverdlovsk and Chelyabinsk Oblasts, depend on imports to the greatest extent. Conclusions. In modern conditions, domestic demand is becoming one of the drivers of industrial development. Effective measures within the framework of industrial policy are needed to develop import substitution processes.