The article examines, through specific examples, methodological questions related to applying the coordinate method to solving geometric construction problems. Traditionally, construction problems are included in school geometry textbooks because solving such problems helps develop students’ creative abilities and enables problembased revision o f geometry. The coordinate method was introduced into the school geometry curriculum relatively recently. It is used mainly for solving problems that involve proving geometric statements. The application of the coordinate method to construction problems has been partially discussed in. The materials presented in this article can be used by school mathematics teachers-especially those working in schools with advanced mathematics programs-as well as by instructors of geometry-related courses in teacher-training universities

The article presents the results of an analysis of the tuberculosis control service in the North Kazakhstan region for 2024 and the first nine months of 2025. Trends in morbidity and mortality, organizational and staffing aspects, as well as key areas of preventive and therapeutic work are examined. Regional indicators are compared with national and WHO international targets. The main strategic measures to reduce the burden of tuberculosis and improve the effectiveness of TB care are highlighted.

The article is devoted to the nomenclature history and analysis of the current state of knowledge regarding wild apricot (Prunus armeniaca L.) in Kazakhstan. It presents a systematic review of changes in the species’ nomenclature from its original description by C. Linnaeus (1753) to contemporary interpretations in international databases. The study shows that the prolonged use of the name Armeniaca vulgaris Lam. in the Soviet floristic tradition is linked to morphological criteria and historical approaches to Rosaceae systematics, whereas modern molecular-phylogenetic research supports the need to merge the genus Armeniaca with Prunus sensu lato. The review includes a detailed description of the species’ natural range in Kazakhstan, covering the Zailiyskiy Alatau, Dzhungarsky Alatau, Karatau, and Chu-Ili mountains. Ecological conditions, spatial population structure, characteristic habitats, and anthropogenic threats are analyzed. The article also provides an overview of the history of botanical studies of the species in the region, from early floristic research in the 19th century to recent works incorporating molecular-genetic approaches. Knowledge gaps are highlighted, including the lack of comprehensive population-genetic studies, insufficient data on morphometric variability, and the dynamics of natural populations. The analysis lays the foundation for the next research stage, aimed at the bioecological and genetic investigation of wild P. armeniaca populations in southern Kazakhstan.

This article presents the digitization of the herbarium collection of the Asteraceae family, housed in the herbarium collection of the Department of Biology at North Kazakhstan University. The study included 200 herbarium specimens collected between 1970 and 2025, including both historical specimens and modern field collections. All data were standardized in the Darwin Core (DwC) format, verified using the GBIF validator, and published through the IPT platform on the GBIF global portal, ensuring open accessibility of the collection and its integration into the international scientific infrastructure.
The paper presents the results of an analysis of the taxonomic composition, temporal distribution, and geography of the collections. It was established that the majority of the specimens belong to dominant meadow-steppe genera (Achillea, Pentanema, Centaurea, and Leucanthemum), reflecting the structure of the plant communities of the region. The temporal distribution is characterized by peak activity in different years and covers more than fifty years of collection development. Geographic analysis revealed an uneven distribution of finds across regions, with a predominance of materials from the Kyzylzhar district.
The resulting digital dataset is of scientific value for floristic, ecogeographical, and taxonomic research, contributes to the preservation of the herbarium collection, and expands its potential for educational and conservation use.

The article describes the distribution of fish in the northern part of the Caspian Sea and their biological indicators. As part of the research work, 18 species of fish belonging to 7 families were caught. The article is devoted to the analysis of the features of the modern distribution of ichthyofauna in the northern waters of the Caspian Sea. According to the results of the study, it was found that the spatial distribution of fish species directly depends on hydrological conditions, fluctuations in water salinity, depth fluctuations and the nature of the nutrient base. In the structure of the ichthyological community, there is a predominance of such ecologically flexible species as Abramis brama, Rutilus rutilus and Sander lusioperca, which indicates their high adaptability to the conditions of the northern Caspian Sea. In addition, the proportion of sturgeons remains relatively low, and their distribution is explained by the limited spawning grounds and the influence of anthropogenic factors. The data obtained will make it possible to assess the state of fish resources in the northern part of the Caspian Sea, develop scientifically sound recommendations for the conservation of biological diversity and sustainable development of fisheries.

In the presented article, information is provided about the introduction (through seeds) of the iron tree species, listed in the "Red Book" of Azerbaijan and possessing the strength of iron, into the soil and climatic conditions of the Apsheron Peninsula, its morphological characteristics and use in landscaping. In other studies, iron tree seedlings brought to the Apsheron Peninsula were used. In our study, on the contrary, seedlings were obtained from iron tree seeds on sandy and saline soils (sulphate salinity) of the Apsheron Peninsula. Germination of seeds fluctuated between 80-85%. The dynamics of the leaf apparatus in one-year-old seedlings, which develop from seeds, are determined. Unlike other studies, the process of photosynthesis in the leaves and the amount of chlorophyll in them were determined dynamically during the vegetation period. It is established that the iron tree usually grows on the Apsheron Peninsula, but, unlike its natural botanical and geographical region, it requires complex agrotechnical care. Iron tree is not a very frost-resistant plant. It can climb to a height of 800-1000 m above sea level, singly or in groups. L.I. Prilipko (1954) explains the distribution of the iron tree in such relief forms with its biological features.

In commercial orchards and nurseries, the spread of viral infections in apple (Malus domestica Borkh.) poses a serious threat to plant phytosanitary status and productivity. The aim of this study was to obtain virus-free apple rootstock planting material and to evaluate the effectiveness of integrated in vitro biotechnological methods of plant sanitation. The objects of the study were apple rootstocks from pomological and in vitro collections in Kazakhstan. The highest viral load was detected in rootstock B-16-20. For sanitation, a combined Thermotherapy + Chemotherapy + SAM method with antiviral agents was applied. The results showed that the effectiveness and phytotoxicity of the methods depend on the combination of techniques and the concentration of the applied agents. The obtained data confirm the high efficiency of integrated biotechnological approaches for obtaining virus-free apple planting material and have practical significance for certified propagation of fruit crops in Kazakhstan.

Traditional approaches to foreign language instruction sometimes Traditional approaches to foreign language instruction sometimes fall short of facilitating authentic, fluid intercultural engagement and promoting learners’ communicative growth in multilingual higher education settings. To fill these gaps, the presented study integrates two reading only and reading while listening modes of blended translanguaging methodology in complementary of inquiry conducted in Azerbaijani universities: (1) a self-study of intercultural exchange initiative between Azerbaijani as a Foreign Language and English as a Foreign Language students, and (2) a four-week translanguaging-based instructional intervention with 56 Information Technology students, including sophomores at Baku Business University and foundation-level students at Odlar Yurdu University during first, second semesters and summer courses of 2024-2025. These studies present a “blended translanguaging” methodology that combines pedagogical translanguaging practices with generative artificial intelligence (AI) to foster dynamic intercultural communication, multilingual competence, and the development of global citizenry.

The article addresses the problem of pedagogical assessment of learning outcomes in interdisciplinary education of students in technical fields within the framework of the competency-based approach. It is shown that traditional discipline-based assessment systems do not provide sufficient informativeness and reliability when evaluating professional competencies manifested in collective project activities and the integration of knowledge from different subject areas. The need for developing pedagogical models of comprehensive assessment of educational outcomes is substantiated.
The purpose of the study is to develop and pilot a triangulation-based model of pedagogical assessment integrating the instructor’s expert evaluation, self-assessment, and peer assessment of students working in small groups. The methodological framework of the research is based on the competency-based, activity-oriented, and constructivist approaches, as well as methods of pedagogical modeling, expert assessment, self-assessment, and quantitative analysis of learning outcomes.
The results demonstrate an increase in the diagnostic accuracy and reliability of assessment, the possibility of identifying individual contributions of students to collective project work, and the development of reflective skills and self-regulation abilities. The proposed model is considered as a tool for managing the educational process in interdisciplinary learning environments.

This article presents the results of a design-based research project conducted at M. Kozybayev North Kazakhstan University, which developed a systematic structure linking successive research projects. The research is relevant to the necessity to develop pedagogical leadership and giftedness as a result of sustained professional development (CPD) within a complicated societal environment. Its originality lies in the setting of defining and operationalizing the synergistic connection between three fundamental concepts: pedagogical leadership (as an advanced level of competence), teacher CPD competencies (combining self-education, development, and improvement), and pedagogical giftedness (as the prerequisite).

The main outcome is the emergence and adoption of the so-called concept of the pedagogical classroom- an open space that enables the interaction between the pedagogically gifted students of high schools, the future teachers (undergraduates and master students), the novice teachers, the school career counselors, and the faculty members of the university. This model structures pre-professional training of school students who are inclined to become teachers with the participation of a research group, faculty members, graduates, and other stakeholders (e.g., education authorities, methodological centers). This ongoing character of project-based research allows filling continuing pedagogical education theory and practice with an entirely new methodology: systematized preuniversity vocational pedagogical training. Replacing generic school career guidance with an individual university policy about establishing an open professional community increases the competitiveness of the university (in terms of the quality of enrollees and better professional transition and retention of graduates). It also raises the culture of pedagogy in schools and eventually enhances the quality of the teaching staff. The results can be applied in secondary to postgraduate education institutions, educational authorities, and teaching professions.

Amid rapid digitalization and the transitAmid rapid digitalization and the transition toward personalized educational trajectories, there is a growing need for new approaches to developing research competencies among school students. This article explores the model of school-university collaboration as an effective mechanism for integrating research activities into the general secondary education system. The aim of the study is to design and pilot a school-university cooperation model focused on fostering students’ research culture. The article outlines the stages of the “School-University” project (2019-2025), which includes special courses, a Summer Academy, scientific project defenses, participation in conferences, the operation of a Scientific Council, and the involvement of university faculty and graduate students. Particular attention is given to the monitoring o f project outcomes, incorporating both quantitative and qualitative indicators such as student performance, teacher professional advancement, and parental satisfaction. The article presents specific recommendations for scaling the model to other educational institutions.

The article presents a detailed scientific and legal analysis of the development of the mediation institute in the Republic of Kazakhstan as a key mechanism for alternative dispute resolution. It examines the theoretical foundations, historical evolution, and legal regulation of mediation, tracing its development from inception to its current state. Legislative acts, including the Civil Procedure Code and relevant mediation laws, are analyzed alongside their application in civil, labor, and commercial disputes.
Mediation is highlighted as an effective tool for reducing the judicial system’s burden and balancing the interests of disputing parties. The article studies Supreme Court practice to identify trends in recognizing agreements reached through mediation, confirming its growing role in law enforcement. Special attention is given to professionalizing mediators, developing ethical standards, and promoting judicial mediation to enhance public and organizational trust in the process.
Prospects for further development focus on expanding mediation’s scope, introducing technologies for remote dispute resolution, improving public legal literacy, and strengthening the professional community of mediators. The article emphasizes that a stable legal culture based on dialogue, compromise, and justice requires an integrated approach combining theory, regulation, and practical implementation.
Overall, the article shows that mediation in Kazakhstan is evolving as an independent, organized institution capable of effectively resolving conflicts, supporting judicial efficiency, and fostering a culture of law-abiding dialogue. Its development opens opportunities for harmonizing relations between legal entities, enhancing judicial effectiveness, and promoting a culture of constructive dispute resolution.

This article provides a comprehensive analysis of the limits of discretionary powers held by enforcement officers in the Republic of Kazakhstan. The relevance of the study stems from the increasing number of administrative lawsuits challenging the actions of enforcement officers and the subsequent need to identify emerging judicial standards of legality.
The aim of the work is to determine how judicial practice constrains the administrative discretion of the enforcement officer and to identify the systemic reasons for declaring their actions unlawful.
The methodological framework comprises doctrinal, formal-legal, judicial-analytical, and statistical methods, as well as legal hermeneutics for the interpretation of evaluative categories.
The empirical basis of the study consists of statistical data from the Supreme Court of the Republic of Kazakhstan for the period 2023-2025, analytical reviews, and case law materials where the actions of enforcement officers were ruled illegal.
The results of the research demonstrate a steady trend in the claim satisfaction rate (from 42.4% in 2023 to 40.2% in 2025, alongside a high overall percentage of judicial protection), indicating the strengthening of judicial review. A typology of violations has been identified: abuse of power, disproportionate measures, procedural violations, formalism, and lack of reasoned justification. It is established that courts are forming quasi-precedential standards, including requirements for proportionality, good faith, procedural transparency, and the balance of interests. It is substantiated that judicial practice is transforming the model of enforcement proceedings, shifting discretion from a tool of efficiency into an object of judicial protection.
Scientific novelty lies in the identification and systematization of judicial standards as an independent regulator of the limits of discretion.
The practical significance of the work consists of the development of proposals for improving legislation and methodological recommendations for both enforcement officers and the courts.

The article discusses the scope and directions of dual education development in the Republic of Kazakhstan in the context of the transformation of the personnel training system and the implementation of an industrial-innovative model of economic development. The aim of the study is to comprehensively assess the current state of dual education, analyze its sectoral and regional structure, and determine the economic effects of introducing a dual form of personnel training. The study uses methods of economic and statistical, comparative, and investment analysis. The results indicate positive dynamics in the development of dual education in Kazakhstan, with simultaneous regional and sectoral differentiation. The conclusion is made about the need to move from the quantitative expansion of dual programs to increasing their economic efficiency and institutional sustainability.

The article is devoted to the analysis of the processes of virgin lands and modem ways of preserving this memory in material, cultural and digital forms. The study shows how the official Soviet ideology, local practices and modern media resources form a multi-layered image of the virgin lands campaign in the historical memory of Kazakhstan and the post-Soviet space. Special attention is paid to documentaries, press, literally works, monuments, museum collections and new digital formats such as online archives, virtual museums and internet platforms. The article examines how these sources reflect the ideological, social, and cultural aspects of the virgin lands campaign, and what mechanisms ensure the preservation of its memory.

The article is devoted to a comprehensive analysis of procedural violations committed by employers in the Republic of Kazakhstan when terminating employment contracts, which are examined as an independent source of legal risks. The relevance of the study is determined by the fact that a significant number of employers lose labor disputes not due to the absence of substantive grounds for dismissal, but as a result of failure to comply with the formal procedural requirements of labor legislation. Based on an examination of judicial practice and the explanations of the Supreme Court, the paper identifies and systematizes typical errors made by employers. The main groups of violations include: premature termination of an employment contract at the employee’s initiative without his or her consent, violations of the procedure and time limits for imposing disciplinary sanctions, errors in the composition of disciplinary commissions, as well as failure to prove damage in cases of dismissal for loss of trust. The article provides a detailed analysis of the legal consequences of such violations, including the unconditional reinstatement of the employee, payment of wages for the period of forced absence from work, and reputational costs for the employer. As measures to minimize these risks, the author proposes the introduction of an internal procedural compliance system, the standardization of dismissal algorithms, and mandatory preventive legal control over personnel decisions.

Potato (Solanum tuberosum L.) is one of the leading agricultural crops in the Republic of Kazakhstan. However, its productivity is declining due to viral diseases and the ineffectiveness of traditional seed production, necessitating the use of biotechnological methods to obtain improved seed material. determine the optimal conditions for mineral and hormonal nutrition to increase the efficiency of growth and development of microplants of Romano and Riviera varieties in in vitro culture. Cultivation was carried out on modified Murashige-Skoog and White media with varying sterilization, hormonal supplements, and macro- and microelement concentrations. Morphogenesis, root system development, and the multiplication rate were assessed. Variety-specific responses to the medium composition were identified; optimization of mineral and hormonal nutrition contributed to enhanced morphogenesis and an increase in the multiplication rate, which allows for the improvement of technologies for the production of improved planting material.

The article presents the results of ecological variety testing of the grain sorghum variety Premio under the conditions of the forest-steppe zone of Northern Kazakhstan. The study addresses current issues of agricultural diversification under the conditions of increasing climate aridity. The field experiment was conducted in 2025 with different seeding rates (80,000-300,000 seeds/ha). During the study, plant height, tillering, plant density, and yield were evaluated. The results showed that increasing the seeding rate had a significant effect on the morphological and productive structural characteristics of the plants. Plant height and density reached the most favorable levels at seeding rates of 170,000-200,000 seeds/ha. The maximum tillering rate was observed at a seeding rate of 120,000 seeds/ha. Grain yield reached its maximum value at a seeding rate of 200,000 seeds/ha, amounting to 6.29 t/ha. A further increase in the seeding rate led to a deterioration in yield structure and a decrease in overall productivity. The obtained results indicate that the optimal seeding rate for the Premio sorghum variety under the conditions of Northern Kazakhstan is 170,000-200,000 seeds/ha. The findings have practical significance for the inclusion of sorghum in the regional cropping system and for ensuring sustainable grain production.

The effectiveness of Valagro's sunflower nutrition system (liquid mineral fertilizers and plant growth regulators) on seed yield and quality in the production conditions of the forest-steppe zone of Northern Kazakhstan has been studied. A production field experiment was conducted in 2023 in the North Kazakhstan region on crops of a hybrid of Neoam on ordinary chernozem. The Valagro nutrition system has shown its effectiveness and expediency of application on such a high-margin crop as sunflower in the conditions of ordinary chernozems of Northern Kazakhstan. It included the use of drugs: Megafol, Yieldon, Plantafol 10-54-10, Plantafol 30-10-10, BrexilMix, Boroplus. Its use in production tests provided an increase in yield of 18% (0.6 tons / ha, with a yield without preparations of 3.2 t / ha), as well as quality indicators. The net profit amounted to 63,000 tenge/ha.

The general system nutrition systems of the AgriTecno company (liquid mineral fertilizers and plant growth regulators) were studied for the yield and quality of spring wheat in the forest-steppe zone of Northern Kazakhstan.A production field experiment was conducted in 2024 in the forest-steppe zone (Yesilsky district of the North Kazakhstan region) on spring wheat crops of the Alabuga variety on ordinary chernozem. The spring wheat nutrition system included the following drugs: Fertigrain Start, Controlfit RK, Teknokel Amino Zinc, Teknokel Amino Nitrogen, Teknokel Amino Boron, Fertigrain Foliar. Its use in production tests provided an increase in yield of 0.5 tons/ha with a yield without 3.2 tons/ha preparations, as well as an increase in quality indicators - vitreous and mass fraction of gluten of spring wheat grain. Net profit amounted to 26,156 tenge/ha.

This article discusses the design, calculation and analysis of the stress-strain state of a steel rafter truss using the LIRA-CAD computational and analytical software package; applications: KM-CAD and STK-CAD. he task of implementing the most effective method of selecting rolled profiles for the rods of a hinged-rod structure - a rafter truss, taking into account the requirements, cost-effectiveness, unification and optimal use of the bearing capacity of structural elements, has been completed. The process of using color gradient scales for visual engineering analysis of a constructive system is also considered.

The article discusses the possibilities of using multigenerative neural network models to solve applied problems in design. The aim of the study was to compare the results of design project generation performed by ChatGPT, Gemini, and Copilot neural networks based on specified text scripts and initial visual data. As part of the experiment, two types of tasks were formed: the creation of a new small architectural form and the refinement of an existing design project for a computer audience. The evaluation of the results was carried out by an expert group of designers according to a system of criteria, including artistic, functional, ergonomic and economic parameters. The data obtained showed that multigenerative neural networks are capable of generating competitive conceptual solutions that vary in the degree of technological complexity, design expressiveness, and feasibility. The most balanced results were demonstrated by solutions focused on a combination of visual expressiveness and practical applicability. The conclusion is made about the prospects of using multigenerative approaches as a tool to support project activities in design.

This article analyzes the experience and prospects of using augmented and virtual reality technologies in advertising in the context of digital transformation of society. Based on the research of modern scientists and the experience of using augmented and virtual reality technologies in advertising, the main characteristics of these technologies are systematized, and conclusions are drawn about the advantages, risks, and prospects for their use in tourism advertising. This comparative analysis of these technologies in the context of their use in advertising can be a useful tool in the decision-making process for selecting optimal technologies for promoting specific goods and services. The idea proposed in this article for creating an interactive quest game using modern digital technologies can be adapted for other advertising purposes in the tourism sector.

Sign Language Recognition (SLR) is a main technology for bridging the communication gap between the deaf community and the hearing majority. While deep learning has advanced SLR significantly, low resource languages like Kazakh Sign Language (KSL) remain under explored due to the deficit of labeled data. In this paper, we address this limitation by establishing a novel benchmark for KSL, focusing on two distinct tasks: Isolated Sign Language Recognition (ISLR) and Emotion Recognition. We evaluate the performance of three state-of-the-art Vision Transformer architectures ViViT, VideoMAE V2, and TimeSformer on a custom collected dataset comprising 20 lexical gestures and 4 emotional states. Our experiments reveal that TimeSformer achieves superior performance, attaining a Top-1 Accuracy of 96.63% on lexical gestures and 80.87% on emotion recognition. Comparative analysis indicates that TimeSformer's "Divided Space-Time Attention" mechanism captures finegrained spatiotemporal dynamics more effectively than the factorised encoder of ViViT or the masked modeling approach of VideoMAE.

The aim of this study is to develop a model and architecture of a decision support system for assessing the material resource provision of educational organizations. The paper proposes the architecture of an information and analytical system that integrates the processes of data collection, storage, analytical processing, and visualization of information on the material resources of educational organizations. The system architecture includes subsystems for data acquisition from multiple sources, a centralized data warehouse, an analytical processing core, tools for visualizing indicators, and a module for generating management reports.
The methodological basis of the study is the application of mathematical modeling methods to formalize the processes of assessing the provision of educational organizations with equipment. A system of quantitative indicators is proposed, including the calculation of normative equipment demand, the provision coefficient, the resource deficit indicator, the integrated provision index, and the equipment retirement risk indicator. The developed model makes it possible to conduct a comprehensive assessment of the condition of the material and technical base of educational organizations.
Unlike traditional inventory accounting systems used in educational organizations, the proposed architecture integrates a mathematical model for calculating the equipment provision coefficient, the integrated provision index, and the equipment retirement risk indicator within a multi-level analytical decision support framework. This approach enables analytical monitoring of infrastructure provision rather than simple inventory accounting of equipment.

This study examines the feasibility of automated classification of geometric objects using multivariate statistical analysis of their parameters, without relying on complex nonlinear machine learning techniques. Objects are described by a set of interrelated geometric and physical characteristics, including linear dimensions, areas, volumes, mass, and density, which leads to high feature correlation and complicates their interpretation.
To address this task, classical methods of multivariate data analysis are applied: correlation and regression analysis, principal component analysis (PCA), clustering, and linear discriminant analysis (LDA). The study is conducted on a synthetic dataset formed based on realistic parameter ranges derived from actual geometric relationships.
It is demonstrated that preliminary dimensionality reduction using PCA can eliminate multicollinearity among features and produce a compact, interpretable representation of the data. Clustering in the principal component space reveals a stable group structure of objects, while the application of linear discriminant analysis ensures high classification quality. The results confirm that interpretable statistical methods remain an effective tool for analyzing and classifying geometric objects and can be used in tasks of preliminary data analysis, support of expert systems, and development of intelligent ICT-based systems.

Social media generates massive volumes of unstructured data every day. These data contain valuable information, but their heterogeneity and complexity make analysis difficult when using standard methods.
The aim of the study is to develop and test an approach for automatic analysis of multimodal social media data using modern models for processing unstructured information. The work employs deep learning technologies, including transformers and models that combine different types of data (text and image).
A prototype was developed that integrates textual and visual features using neural network architectures. Experiments were conducted on open datasets containing user posts with images and textual captions; video content was not included in the study. The results show that the use of multimodal models improves the accuracy of sentiment analysis and enhances data interpretation.
The proposed approach can be applied in SMM analytics, marketing, user behavior prediction, and public opinion analysis. It helps automate the processing of complex data and supports decision-making based on comprehensive information.
The conclusions confirm that combining modern methods of unstructured information analysis is effective for working with multimodal data in conditions of large scale and diverse sources.

In the context of globalization, the growing interaction between cultures increases the relevance of cultural and postcolonial studies in Translation Studies. Therefore, the article examines the phenomenon of the cultural turn in Translation Studies, the shift in power paradigms, and translation issues in the postcolonial period. The aim of the study is to analyze the transition of translation theory from a linguistic model to a cultural-ideological interpretation and to identify the relationship between translation, power, ideology, and cultural policy.
The research employs comparative-theoretical analysis, a systematic review of scholarly literature, as well as interpretative and descriptive methods. The study is based on the works of S. Bassnett, A. Lefevere, L. Venuti, E. Genzler, D. Katan, and M. Tymoczko devoted to the cultural turn in Translation Studies and postcolonial translation theory.
The results show that the cultural turn allows translation to be understood not only as an intertextual transformation but also as a complex process of interaction between cultural systems. The study also demonstrates that translation is closely connected with ideological influence, cultural hegemony, and structures of social power. Postcolonial studies reveal the role of translation as a tool for cultural representation and the expression of national identity under conditions of cultural asymmetry.
The findings highlight the importance of the cultural paradigm in contemporary Translation Studies and justify the need to examine translation processes with consideration of cultural and ideological factors within the framework of national translation studies.

This article is devoted to the analysis of certain stories by I. S. Turgenev in the context of their belonging to the so-called “Mysterious Tales” cycle. We conducted a review of studies on literary cycles and cyclization. Also, we discussed the composition of the proposed Turgenev cycle and its origins based on both existing analyses and our own observations. This work aims to justify the inclusion of the examined stories in an uncollected cycle. For the analysis, we applied the following methods: structural, comparative, and historical-literary. Based on our discussions, we concluded that the features and literary techniques in the selected stories and tales by I. S. Turgenev correspond to the criteria (overall atmosphere of the work, recurring motifs and images, use of fantastic and supernatural characters, etc.) that allow us to consider them a literary cycle.