Solution Of Tasks Research Articles

Deep learning algorithms applied to computational chemistry.

Recently, there has been a significant increase in the use of deep learning techniques in the molecular sciences, which have shown high performance on datasets and the ability to generalize across data. However, no model has achieved perfect performance in solving all problems, and the pros and cons of each approach remain unclear to those new to the field. Therefore, this paper aims to review deep learning algorithms that have been applied to solve molecular challenges in computational chemistry. We proposed a comprehensive categorization that encompasses two primary approaches; conventional deep learning and geometric deep learning models. This classification takes into account the distinct techniques employed by the algorithms within each approach. We present an up-to-date analysis of these algorithms, emphasizing their key features and open issues. This includes details of input descriptors, datasets used, open-source code availability, task solutions, and actual research applications, focusing on general applications rather than specific ones such as drug discovery. Furthermore, our report discusses trends and future directions in molecular algorithm design, including the input descriptors used for each deep learning model, GPU usage, training and forward processing time, model parameters, the most commonly used datasets, libraries, and optimization schemes. This information aids in identifying the most suitable algorithms for a given task. It also serves as a reference for the datasets and input data frequently used for each algorithm technique. In addition, it provides insights into the benefits and open issues of each technique, and supports the development of novel computational chemistry systems.

ПОНЯТИЕ ЗЕМЕЛЬ, ПРЕДНАЗНАЧЕННЫХ ДЛЯ ЗАХОРОНЕНИЯ

The article addresses the problem of doctrinal development of the concept of lands intended for burial. Based on the typical approach for the formal-logical procedure of definition, a set of generic concepts supplemented by specific characteristics of burial grounds is considered. The article identifies two types of problems solved by the category of lands under consideration. Satisfaction of the spiritual and religious needs of the population in the organization of places of burial of deceased loved ones pursues the solution of non-utilitarian tasks. At the same time, ensuring the sanitary and epidemiological safety of settlements from the penetration of toxic chemicals from burial sites indicates the existence of purely utilitarian tasks of these lands. The set of specific characteristics disclosed in the current legislation and legal doctrine of the Russian Federation allows us to offer the author's understanding of the concept of lands intended for burial. The proposed concept can serve as a basis for changing land legislation.

Artificial intelligence capabilities in the context of the author's conception of creativity

The study provides some philosophical reflections on the creativity of artificial in-telligence. The study supposes that artificial intelligence can be considered creative only if it creates something new with help of imagination (or its equivalent) and ap-pealing to the so-called “background” (background and general knowledge, biases, competencies, experience, habits, intuition, prejudices, political preferences, skills, stereotypes, values, and others), and its creative activity must be either necessary or arbitrary. Necessary creative activity is related to the solution of specific tasks, for example, within the framework of technical invention or scientific discovery. Arbitrary creative activity is associated with spontaneous, aimless and inexpedient human activity. This type of creative activity takes place when a creative doer has free time, leisure, enthusiasm (hobby), plays a game or is bored. Based on the two types of creative activity, two types of creative artificial intelligence can be distinguished: a weak creative artificial intelligence that makes necessary creative activities related to the tool nature of artificial intelligence, specifically to effectively solving specific problems and tasks, and a strong creative artificial intelligence that makes arbitrary creative activities, that is, creates for the sake of creating alone. The strong creative artificial intelligence can be possible only if the artificial intelligence is given autono-my, the freedom to manage that autonomy, and learns to manage its freedom.

USING THE CASE TECHNOLOGY IN PROFESSIONAL TRAINING
 OF BACHELORS OF SOCIAL WORK

The article is devoted to identifying the features and advantages of using the case technology in the organisation of the educational process for students of the “Social Work” study field. The authors of the study identified and analysed the main advantages of using the case technology in higher education, as well as the main criteria for evaluating students’ solutions of case tasks. In addition, to substantiate the relevance of the organisation of the educational process based on the case technology, the authors conducted an expert survey.

Spectral–Spatial Feature Extraction for Hyperspectral Image Classification Using Enhanced Transformer with Large-Kernel Attention

In the hyperspectral image (HSI) classification task, every HSI pixel is labeled as a specific land cover category. Although convolutional neural network (CNN)-based HSI classification methods have made significant progress in enhancing classification performance in recent years, they still have limitations in acquiring deep semantic features and face the challenges of escalating computational costs with increasing network depth. In contrast, the Transformer framework excels in expressing high-level semantic features. This study introduces a novel classification network by extracting spectral–spatial features with an enhanced Transformer with Large-Kernel Attention (ETLKA). Specifically, it utilizes distinct branches of three-dimensional and two-dimensional convolutional layers to extract more diverse shallow spectral–spatial features. Additionally, a Large-Kernel Attention mechanism is incorporated and applied before the Transformer encoder to enhance feature extraction, augment comprehension of input data, reduce the impact of redundant information, and enhance the model’s robustness. Subsequently, the obtained features are input to the Transformer encoder module for feature representation and learning. Finally, a linear layer is employed to identify the first learnable token for sample label acquisition. Empirical validation confirms the outstanding classification performance of ETLKA, surpassing several advanced techniques currently in use. This research provides a robust and academically rigorous solution for HSI classification tasks, promising significant contributions in practical applications.

Digital potential of the company: An integrated approach to its realization

Aim. To propose an integrated approach to the realization of the company’s digital potential in the conditions of modern challenges.Objectives. To analyze and evaluate the existing scientific approaches to the realization of the company’s digital potential; to propose its main structural components in terms of the relationship between the capabilities and the company’s ability to effectively implement them; to briefly formulate conclusions relevant for managers of companies carrying out digital transformation.Methods. The solution of the set tasks was carried out in the context of complementarity methodology with the use of methods of semi-structured interviews, search and analysis of causeeffect relationships, systematization, research and historical design.Results. The analysis of theoretical developments and business practices showed that digital transformation is not so much an effective use of IT, but rather a comprehensive development of the company based on the systematic application of new digital technologies. In this regard, the company’s digital potential is determined by its internal integrated resource, marketing, organizational capabilities, as well as the key competencies of managers for the balanced implementation of these capabilities on the basis of IT, creating a synergistic effect. A spectrum of new questions for future research is proposed.Conclusions. The rapid formation and realization of the digital potential of companies in various sectors of the Russian economy allow us to consider it a key concept that must be known and understood if we are talking about the digital transformation of entities. The emerging business practices of companies in this context correspond little to the available theoretical and methodological developments designed for stable conditions of economic development. The key task becomes the research and scientific substantiation of emerging trends. Brief conclusions form the basis for making the right managerial decisions on the choice of optimal options for the realization of the digital potential of the company.

LITERARY WAYS OF CYCLISATION IN MODERN ROCK POETRY (based on the album “Creativity in the Void” by the “DDT”)

This article is intended to concretise the methods of cyclisation in the album “Creativity in the Voidˮ of the “DDTˮ, the presence of which indicates the integrity of the musical collection of it. The real goal dictates the solution of several research tasks, including the theoretical substantiation of cyclisation as a scientific problem in the study of rock poetry, the identification of the characteristic features of cyclisation inherent in the poetry of rock performers, and the analysis of the logic of building the album “Creativity in the Voidˮ of the rock band “DDT”. When performing the work, analytical methods of research, synthesis and comparison were applied, sociocultural and some biographical factors were considered, which makes it possible to reveal the philosophical and aesthetic meanings inherent in the single artistic space of the collection as a “product” of cyclisation. The author of this article concludes that the phenomenon of cyclisation is inherent in the work of the rock band “DDT”. The non-randomness of the arrangement of texts in the structure of the album has an impact on the interpretation of the picture of the world of the poet Yuri Shevchuk, which is artistically explicated in the musical works included in the framework of a separate album. The conclusions of the study make a certain contribution to the development of ideas about the artistic originality of the named musical band, expand the understanding of the phenomenon of cyclisation, including metacyclisation, in the work of rock performers in general.

CUSTOMS CONTROL USING ARTIFICIAL INTELLIGENCE TECHNOLOGIES

The relevance of this article is due to the high importance of customs control procedures for the development and expansion of international trade, as well as the need to improve the efficiency of customs authorities through the use of digital technologies. The purpose of the article is to substantiate the need for the development and implementation of the digital tool "Customer Declarant Map" based on artificial intelligence in the processes of customs control in order to increase its efficiency. Methods of a systematic approach were used as research methods, a comparative method to clarify the elements of using artificial intelligence to improve the efficiency of customs control, a qualitative content analysis method to justify the importance of forming a "Customer Declarant Map" was implemented using a descriptive analysis, a review of literary sources and acts international law. Achieving this goal required the solution of certain tasks. Based on the results of the analysis of theoretical approaches to the essence of customs control, its significance for the competitiveness of business was clarified due to the increase in volumes and facilitation of international trade, since customs services act as an external factor in competitiveness and the characteristics of individual decisions within the framework of customs control intended for entrepreneurs, which can be considered positive in terms of enterprise competitiveness. The further active introduction of digital technologies, in particular, artificial intelligence in the activities of customs authorities for the processing and analysis of various information from numerous data sources, is justified. The formation of a "Customer Declarant Map" - a map of the path of the customs declarant, is proposed, the advantages of artificial intelligence in this process are highlighted. It has been substantiated that the introduction into practice of a new digital path map tool for the customs declarant "Customer Declarant Map" will improve the efficiency of customs control, facilitate international trade, and reduce customs risks.

EFFECTIVE BUSINESS COMMUNICATIONS IN THE DIGITAL ENVIRONMENT IN THE PUBLIC ADMINISTRATION SYSTEM

Communications of the business world are special tools for data exchange, the main goal of which is the effective formulation and solution of management tasks. The active use of business communications makes it possible to effectively coordinate the interaction between various system elements in the field of public administration. When interacting with citizens at the state level, business communications allow them to respect their rights and freedoms when performing managerial tasks. For a more efficient operation of the public administration system, the competencies of employees in the field of business communication and their correct use in professional activities for the most efficient performance of professional tasks and the work of the entire state system as a whole are of great importance. Business communications in a digital business environment are one of the factors of effective interaction in the field of public administration.

Проблема професійної мобільності як одна з характеристик функціонування майбутнього педагога

The article reveals the essence of professional mobility as one of the characteristics of the successful functioning of the future teacher in professional activity. A description of the concepts «mobility», «professional mobility» is provided. The need to organize such a system of professional training of future teachers is emphasized, which can ensure a purposeful process of forming their readiness for continuing professional self-development, desire and ability to constantly raise the level of professional skills, which would ensure their efficiency and competitiveness in future professional activities. It has been found that the professional mobility of future teachers testifies to their internal readiness for qualitative changes, is manifested in the ability to quickly acquire and generalize new professional competencies; willingness to make decisions and the ability to adapt in the event of a change in the tasks of professional activity, which will ensure their efficiency and competitiveness in future professional activity. It has been determined that a significant amount of theoretical research on the problem of the formation of professional mobility of teachers has been accumulated in the pedagogical literature. The results of the research aimed at identifying the needs and opportunities of modern teachers for continuing professional improvement and changes in professional activity are appropriate. It has been revealed that the future specialist should be open to innovation, be included in teamwork, which will characterize him as a socially competent specialist capable of displaying creativity in professional activity. It has been emphasized that professional mobility is a value-meaningful, dynamic, integrative and integral quality of an individual, which is manifested in his or her specific activity through readiness, reaction and ability to innovate, improve, develop and realize himself in professional activity, ensuring the effectiveness of specific tasks solution within the limits of his or her profession, mastering new techniques and technologies, determining social activity and effective adaptability to transformation processes.

Оценка сложности формул и методов, применяемых при решении школьных задач по механике

The problem of estimating the complexity of formulas and methods used in solving school tasks in mechanics is considered. A content analysis of standard school textbooks and tasks books was car-ried out, all formulas on mechanics were written out and 9 topics were identified, each of which corresponds to its own method of solving tasks. To assess the semantic complexity, the formulas were encoded with a verbal code and presented in a text file Formuli.txt . The complexity of the concepts denoting physical quantities is evaluated separately; their list is placed in a file Slovar.txt. With the help of a special computer program, the semantic complexities of formulas (or their corresponding theoretical propositions) are determined, and the coefficient of information folding is calculated for each ones. At that the difference between formulas-definitions and formulas expressing functional dependencies was taken into account. The distributions of formulas and methods in the space of their characteristic features are analyzed. This made it possible to identify the most com-plex formulas and methods for solving tasks in mechanics. The number of formulas in each method is also taken into account, the choice uncertainty of formulas and the corresponding complexity of the choice in the independent solution of a single-formula task are estimated. It is shown how the choice uncertainty of formulas can be taken into account when solving two- and three-formula tasks.

DROD: bio-robotic drill/sampler for planetary subterranean exploration: experiments and challenges

Key features for space exploration equipment, and in particular drills and sampling mechanisms, are low weight, small size, and energy efficiency. These characteristics are substantially required not only in reducing the spaceship flight cost, but also in extending the exploration time on the extraterrestrial bodies. This article experimentally investigates the feasibility of a novel drill bioinspired by wood-wasp and sand-fish lizard as an integrated robotic solution for rover exploration tasks. A new penetration depth of 820 mm in terms of reciprocation drilling technique has been achieved by the proposed dual reciprocation and oscillation drill (DROD), especially with the new enhancements such as miniature sample compartment and toothed stems. Additionally, a first sampling experiment with DROD has been performed and a sample amount of 20 g and size of 30 cm3 has been collected successfully. Finally, the article provides developments for integration of DROD with rovers for future exploration missions and potentials for horizontal drilling for subterranean applications.

Влияние учебной деятельности и установок учащихся начальной школы на учебные достижения по шахматам

<p>The purpose of the current research is to reveal the mechanisms of the influence of teaching and learning strategies and students’ motivation on the chess knowledge in elementary schools. The sample of the study consists of 476 pupils from 42 schools, 476 parents, 42 teachers. The survey was conducted by random sampling with the participation of all regions of the Republic of Armenia, including the capital Yerevan. During the research, the following methods and tools of quantitative and qualitative research have been applied: questionnaire, test, action research. The results of the study demonstrate that developing new strategies by combining game playing and solving chess problems will stimulate students' learning interests and increase chess knowledge and skills. The positive attitudes towards the subject prevails, as well as the indicators of the students' self-determination manifestation. The solution of complex tasks by the students is more related to internal effort and abilities, allocating less attention to the success factor, as in the instance of a game of chess. On the other hand, considering the subject as complex has a negative effect on the results of the chess knowledge test.</p>

Enhancing source code retrieval with joint Bi-LSTM-GNN architecture: A comparative study with ChatGPT-LLM

Retrieving relevant source code from large repositories is a significant and ongoing challenge in the field of software engineering, primarily due to the vast and ever-expanding amount of available code. Existing deep learning methods, although effective to some extent, exhibit limitations in capturing the intricate and complex structural information embedded within source code, which hinders their ability to provide highly accurate retrieval results. This study endeavors to tackle this prominent issue by introducing a novel and innovative approach known as the Joint Bi-directional LSTM and Graph Neural Networks (JBLG) model for source code retrieval. The central aim is to harness the combined strengths and capabilities of Bi-directional Long Short-Term Memory (LSTM) networks and Graph Neural Networks (GNNs) to significantly enhance the model’s capacity to capture and interpret the complex structural characteristics intrinsic to source code. The proposed JBLG model employs a unique fusion of Bi-directional LSTM, which excels in capturing sequential and temporal dependencies within code, and GNN, which is adept at modeling the intricate graph structure of the code. By leveraging this hybrid architecture, the model aims to provide a comprehensive and highly effective solution for source code retrieval tasks. To assess the efficacy of the JBLG model, extensive experiments are conducted, and the model’s performance is evaluated against well-established benchmarks, including LSTM, GNN, and ChatGPT, using two diverse datasets: CodeSearchNet and CosBench datasets. These evaluations span multiple programming languages, ensuring a comprehensive and robust assessment of the model’s capabilities. The experimental results indicate that the JBLG model consistently outperforms its counterparts, including Bi-LSTM, GNN, ChatGPT, and DGMS, across various evaluation metrics. the JBLG model showcases an exceptional ability to handle and extract the intricate structural information inherent in source code, resulting in significantly enhanced retrieval accuracy. The JBLG model emerges as a highly promising solution for real-world source code retrieval applications, with the potential to revolutionize the field. The success of this model underscores the importance of combining deep learning techniques like Bi-directional LSTM and GNNs for tackling complex software engineering challenges. Furthermore, future research directions could involve exploring advanced techniques such as attention mechanisms and extending the model’s applicability to other software engineering tasks like code summarization and code completion. The findings of this study are expected to have a lasting impact on the advancement of source code retrieval methodologies.

DrasCLR: A self-supervised framework of learning disease-related and anatomy-specific representation for 3D lung CT images

Large-scale volumetric medical images with annotation are rare, costly, and time prohibitive to acquire. Self-supervised learning (SSL) offers a promising pre-training and feature extraction solution for many downstream tasks, as it only uses unlabeled data. Recently, SSL methods based on instance discrimination have gained popularity in the medical imaging domain. However, SSL pre-trained encoders may use many clues in the image to discriminate an instance that are not necessarily disease-related. Moreover, pathological patterns are often subtle and heterogeneous, requiring the ability of the desired method to represent anatomy-specific features that are sensitive to abnormal changes in different body parts. In this work, we present a novel SSL framework, named DrasCLR, for 3D lung CT images to overcome these challenges. We propose two domain-specific contrastive learning strategies: one aims to capture subtle disease patterns inside a local anatomical region, and the other aims to represent severe disease patterns that span larger regions. We formulate the encoder using conditional hyper-parameterized network, in which the parameters are dependant on the anatomical location, to extract anatomically sensitive features. Extensive experiments on large-scale datasets of lung CT scans show that our method improves the performance of many downstream prediction and segmentation tasks. The patient-level representation improves the performance of the patient survival prediction task. We show how our method can detect emphysema subtypes via dense prediction. We demonstrate that fine-tuning the pre-trained model can significantly reduce annotation efforts without sacrificing emphysema detection accuracy. Our ablation study highlights the importance of incorporating anatomical context into the SSL framework. Our codes are available at https://github.com/batmanlab/DrasCLR.

Smart Home Automation

Home automation, fueled by advancements in technology, has evolved into a transformative paradigm, reshaping the way we interact with and manage our living spaces. This paper explores the multifaceted landscape of home automation, investigating the integration of smart devices, sensors, and intelligent control systems to create residences that are not only interconnected but also adaptive and responsive to the needs of their occupants. With a focus on enhancing convenience, energy efficiency, and security, home automation technologies offer innovative solutions for everyday tasks. This abstract delves into the fundamental components of home automation, examining the integration of Internet of Things (IoT) devices, artificial intelligence, and user interfaces. It also explores the challenges and considerations associated with widespread adoption, including issues of privacy, interoperability, and standardization. As the field continues to evolve, this research contributes insights into the current state of home automation, its impact on daily living, and the potential for future development in creating intelligent, user-centric living environments.

Современные подходы к реализации проектов по бурению скважин различной классификации на разных стадиях геолого-разведочных работ

The problem of obsolescence and irrelevance of the standard classification of drilling wells for the intended purpose and a new interpretation of this classification within the framework of modern reality are considered. It is noted that the search for new ways to obtain information during geological exploration leads to the understanding that drilling some types of wells is already completely impractical. In the current situation, projects should be implemented that, on the one hand, will ensure the solution of the set geological tasks, on the other hand, minimize the costs of drilling wells, reduce industrial and environmental risks, with the unconditional receipt of the entire set of required geological information. The complex of works applied in the waters of the inland seas, for the purpose of prospecting, exploration and development of oil and gas fields, can become an example of rational money savings and the efficiency of geological data collection. Currently, the share of large structural deposits of simple structure is completely insignificant, and there are practically no promising oil and gas-bearing areas on land. Current realities are such that geological exploration works penetrate deep horizons of the Earth's crust with a complex geological structure and cover oil and gas-bearing regions located in remote and remote parts of the land. The complex implemented at sea may well be applicable for such sites and will successfully compensate for anachronistic drilling methods.

INDIVIDUAL STYLE OF PROFESSIONAL ACTIVITY OF FUTURE PSYCHOLOGISTS: ESSENCE AND WAYS OF FORMATION IN THE EDUCATIONAL PROCESS OF A HIGHER EDUCATION INSTITUTION

The article examines the problem of the individual style of professional activity of future psychologists. The purpose of the article is to substantiate the essence, the component composition of the individual style of professional activity of future psychologists, the ways of its formation in terms of the educational environment of a higher education institution. It has been shown that an individual style is a factor of professional success, and therefore the specificity of its formation depends on the type of professional activity. The stages of formation of an individual style of activity have been specified. It covers, firstly, the development of professional activity with already worked out schemes and procedures, and secondly, the deviation from normatively approved work samples. The individual style of professional activity of future psychologists is presented as an integral personal formation that determines the individual strategy and tactics of organizing psychological activity and ensures productivity and optimal solution of professional tasks. The components of the individual style of professional activity of future psychologists have been defined. The content of the individual style of future psychologists’ professional activity includes motivational-value (a system of motives, and value attitudes); cognitive (a set of knowledge about the essence and structure of the individual style of professional activity of future psychologists, ways of its formation); personal-active (methods, techniques, procedures, productive technologies, and tools of implementing psychological knowledge in work by specialities); reflective-evaluative components (an ability to professional and personal reflective). It has been emphasized that the individual style of professional activity is not formed by itself, but requires painstaking and systematic work on oneself, performing the function of adaptation to the requirements of professional activity and is a system of individually unique methods that ensure successful performance of the work of a practical psychologist. The methodological aspects of the formation of the individual style of professional activity of future psychologists have been identified. It is a set of systemic, functional, synergistic, axiological, and personally oriented approaches. It has been substantiated that the formation of the individual style of professional activity of future psychologists requires the modelling of the content of each educational component of the educational program in the specialty 053 Psychology according to the logic of the tasks of future professional activity; the use of practically oriented learning technologies (dialogic-discussion, game, training, project, and case ones, as well as training, exercises, web quests, webinars, workshops, etc.). Emphasis is placed on the need to involve students in various practical activities for the implementation of professional initiatives in cooperation with partners of higher education institutions and employers. An interesting experience of acquiring personal professional experience by future psychologists through involvement in end-to-end practice, in particular the practice of the “Supervision Studio”, has been revealed. The prospect of further research is found in the study of the problems of organizing the self-educational activities of future psychologists for the development of the individual style of professional activity.

Розвиток соціально-психологічних методів управління персоналом в умовах воєнного стану

Personnel management is an activity that creates many new challenges for managers who implement it at the enterprise. Today, one of these challenges is personnel management under martial law. In the con-ditions of martial law, a person's mental state is especially vulnerable, which is accompanied by a change in behavior, a low level of information perception, and an aggressive attitude towards others. All these negative processes are formed under the influence of stress in which people are, in particular, employees in organizations under martial law. People perceive and experience stress in different ways, some gradually adapt to the new reality, recover, and some in response to stressful circumstances and events feel uplifted and want to move forward against everything. In the conditions of martial law, the mental health of em-ployees is a factor that significantly affects labor productivity. Therefore, there is a need for the manager to use social and psychological methods at all levels and stages of management. This will contribute to the formation of a highly qualified and effective team, each member of which will realize their potential at the highest level, as a result of which the efficiency of the enterprise will increase. Social-psychological meth-ods appeal to the management of relationships. The main specificity of such methods is the use of informal factors, interests of the group, collective. At the same time, the competently implemented socio-psychological influence of the manager will form the employee's psychological resources for long-term successful activity. The main feature of psychological methods is the appeal to the inner world of a person, his personality, intelligence, feelings, images and behavior in order to direct the inner potential of a person to the solution of specific tasks of the enterprise. A review of literary sources and own research allow us to state that the formation of an effective labor team in the conditions of martial law directly depends on the identification, formation and development of psychological resources among employees. Despite the diffi-cult operating conditions of domestic enterprises, the proposed directions for the formation of psychologi-cal resources and well-argued evidence of the effectiveness of socio-psychological personnel management methods in the conditions of martial law should comprehensively solve the problem of reducing labor productivity, namely, from reducing organizational stress to improving the company's reputation, increas-ing trust in leadership and team cohesion.

Updated doctrinal view of the oath as a prerequisite for the realization of a person's right to public service

Under the conditions of introduction in Ukraine of the legal regime of martial law, the formation of an updated regulatory framework for the use of the resource of all without exception legal institutions for the effective solution of certain tasks of the special period of the country’s existence, the institute of oath is no exception. Thus, for the effective functioning of the institution of oath in the official law of Ukraine, two models of its existence should be distinguished, depending on the conditions in which the state finds itself. The first model, ,,basic”, ,,basic”, ,,traditional”, legally enshrined, provides for its existence in conditions usual for the state, while the second, ,,special” represents the existence of the institute of oath in the official law of Ukraine during special legal regimes, and with the introduction and operation for this period, including the legal regime of martial law, with fixation (introduction of changes into the existing acts of official legislation as a separate article in the modern domestic rulemaking during the legal regime of martial law in Ukraine and in the future by allocating a separate chapter in a separate section of the codified act on public service) the basics of simplifying the procedural aspect of taking the oath (in particular for civil servants; while eliminating the mistaken identification with a pure formality), modification of the model of relations of subjects of ,,sworn” legal relations regarding the guarantee of target orientation, strengthening the role and importance of protective ,,sworn” rules including the introduction of criminal liability for violation by a public servant (in particular public servants) of the oath during the legal regime and will not only take into account the uniqueness of the resource of the oath in official law, but also ensure the use of its resource for the effectiveness of public-service activity in the conditions of a special regime of the country.