The leap in the development of information technology has led to an unprecedented increase in the opportunities for children to be involved in criminal communities and terrorist activities. The process of recruiting minors to carry out terrorist acts appears to be a sequence of actualization of certain risk factors. The social effectiveness of public administration in the field of countering terrorism can be considered as an indicator of the well-being of the population. The analysis of public administration processes in this case requires a holistic approach based on taking into account all the factors that facilitate or ensure the recruitment of children by terrorists. The possibility of involving children in terrorist activities is considered as a risk that is the object of public administration, or more precisely, minimization. Based on the author's concept, a risk-based approach is proposed to explore the possibilities of state risk management for involving children in criminal activities, as well as a classification of risk behavior factors. Purpose. The search for ways to increase the social effectiveness of public administration in the field of countering terrorism through the development of a risk-based approach to managing the risks of involving children in terrorist activities. Methodology: abstract logic was used as the main method, statistical analysis methods were also used. Results: theoretical approaches to the risk management methodology of involving children in terrorist activities have been developed, and the main vectors of managerial influence have been formulated. Practical implications. The results obtained can be used by the government in assessing the risks of terrorism, forecasting and preventing risks.

The article examines the main problems of sports institutions in the direction of "Implementation of personnel policy." It has been established that the largest number of unresolved issues is associated with the remuneration system for employees of institutions. An analysis of problems in the field of labor rela-tions showed that institutions lack a system of real measurable results of activi-ty efficiency, often the tools of the "effective contact path" are used "on formal grounds," thereby reducing the motivation of string players and the effective-ness of sports institutions. It has been shown that institutions often lack a methodology for assessing the number of personnel in accordance with the state assignment, which also negatively affects work performance. Purpose. Identification of the main problems in implementing the personnel policy of sports institutions. Methodology. The article used methods of synthesis and statistical methods of analysis. Results. The study of the staff composition of sports institutions has identified a number of problems, including the ageing of personnel, the lack of a staff certification mechanism, high turnover and a marked shortage of personnel. Practical implications it is expedient to apply the received results by the state, developing strategies of development of industries, as well as in organizations whose activities are related to sports.

The effectiveness of state support is affected not only by its structure by type, but also by its distribution among producers. In 2022, the 30 largest agribusinesses, receiving 46.3% of the total support, provide 58.3% of tax revenues in the AIC of Krasnoyarsk Krai, and their revenue is 28.6% of the volume of agricultural production in the region. The concentration ratio of support in Krasnoyarsk Krai is high: in 2022, it reaches 0.46, generally showing decrease in 2018-2022. The author calculates another indicator – Equal Distribution of Support Index: the higher it is, the greater the volume of revenue and tax revenues generated by recipients of budget funds. In Krasnoyarsk Krai, it shows positive dynamics, indicating both an increase in revenue and tax revenues among support recipients and expanded access of agribusinesses to support. Purpose. To highlight the main trends in the distribution of support in the agro-industrial complex of Krasnoyarsk Krai and their impact on the performance of the industry. Methodology. The article uses statistical analysis to study time series on support volumes, distribution among recipients, and their dynamics. Elements of financial statement analysis of companies receiving support are used. Results. Data were obtained characterizing the degree of concentration and uniformity of distribution of support among the subjects of the agro-industrial complex in Krasnoyarsk Krai. Practical implications. The results should be used by executive authorities when analyzing the distribution of support among entities of the agro-industrial complex in Krasnoyarsk Krai.

The article considers and substantiates a set of measures to ensure economic security in modern, sanctioned economic conditions, which can include: the results of the impact of a package of sanctions from unfriendly foreign states in the period from 2022-2024 with a forecast until 2026. The necessity of ensuring economic security in the prevailing conditions is proved. The authors, based on the analysis of economic processes, substantiate the need to ensure economic security as a tool to counteract the impact of sanctions, and propose directions for finding reserves in conditions of severe economic sanctions. Objective. Development of recommendations on measures to ensure national economic security, taking into account its current level and the state of the external environment. Method and methodology of the work. To achieve the goal set in the article, the authors used methods of comparative, logical and statistical analysis. The analysis of the main economic indicators was applied, the dynamics of economic development indicators was compared. Results. The directions of ensuring economic security have been developed, including: 1. maximum localization of production of critical products; 2. support for manufacturers providing parallel imports of industrial and technical products to Russia; 3. the level of investment support. 4. using the development of the military-industrial complex as a driver of growth in the future (taking into account its comprehensive modernization); 5. supporting the country's financial system using stabilization tools and sound economic policy. Practical implications. The results obtained can be used as a basis for ensuring economic security, taking into account modern conditions formed under the influence of sanctions.

Despite the growing popularity of neuromarketing, its use faces certain problems. First of all, consumers and society have concerns about the ethical component of neuromarketing and the possibility of its use to manipulate consumer behavior. In addition, both businesses and consumers do not always have complete information about the features of neuromarketing and the technologies it uses. Addressing these issues is essential to expanding the use of neuromarketing as a tool for improving business performance. Purpose of the study: analysis of the ethical aspects of neuromarketing and review of the main neuromarketing technologies from the point of view of assessing their advantages compared to traditional marketing tools. Method or methodology for carrying out work. During the research, systemic and situational types of analysis, data from expert assessments, and information from complex studies provided by neurolaboratories were used. The information base of the study was formed on the basis of publications on the topic of neuromarketing, presented in the RSCI and Scopus databases, as well as monographs relevant to the research topic. Results. We have proposed our own definition that reveals the essence of neuromarketing. The author's point of view has been formed on determining the degree of ethics of using neuromarketing tools when conducting comprehensive studies of consumer preferences. Information on key neurobiological methods used in neuromarketing research is systematized and their effectiveness in comparison with traditional marketing tools is clarified. Scope of application of the results: results obtained can be used when conducting research in the field of neuromarketing.

The article analyzes current trends in the use of artificial intelligence, cognitive technologies, Big Data and other innovations in order to predict the stability of the Russian banking system. The current trends in the development of banking innovations in the context of digitalization of the economy are summarized. Among the research methods used, the Random Forest artificial intelligence system, formed in the Google Collab cloud service in Python, should be noted. A neural network model for predicting the dynamics of bank profits based on the use of the Random Forest (RF – random forest) machine learning model is proposed. The results of the study indicate that, with the average value of the profit of banks for the period 2010-2021. 1126.0416 billion rubles, the mean absolute error (Mean Absolute Error) amounted to 129.96666 billion rubles, or 11.5%, which can be regarded as a good result in conditions of market uncertainty. The analysis showed that current trends are global in nature and lead to qualitative changes in the flow of business processes between consumers of banking services and credit institutions.
 Purpose: is to form a model that predicts the value of the target variable – the profit of the banking system using the Random Forest deep learning model, which is an ensemble of “decision trees”. The scientific novelty is to put forward and prove the hypothesis that with the help of the formed artificial intelligence system “Random Forest”, a profit forecast for commercial banks of the Russian Federation can be obtained.
 Method or methodology of the work. The work used such research methods as: monographic, analytical, artificial intelligence system – “Random Forest”, as well as comparative analysis. Calculations were performed in XL tables, Google Collab cloud service in Python.
 Results. The developed AI-system “Random Forest”, designed to predict the profits of banks, is presented. It is of practical importance to use the results of the Random Forest neural network to predict the development of credit institutions, which makes it possible to solve a major national economic problem - ensuring the stability of the banking system of the Russian Federation. A neural network model for predicting the dynamics of bank profits based on the use of the Random Forest (RF) machine learning model is proposed, which is a machine learning algorithm that consists in using an ensemble (set) of decision trees.
 The scope of the results: the financial sector, the banking sector, forecasting and ensuring the sustainable activity of credit institutions in the Russian Federation.

For the successful sale of goods and services in a modern digital society, there is a need to transfer marketing to the Internet environment. The main tools of marketing communications are advertising, PR, sales promotion and direct marketing, each of which is implemented in the online space in its own way. One of the most popular methods of online advertising today is contextual advertising, which in turn can be divided into search and advertising in networks. One of the main PR methods is social media marketing (SMM). work with the brand house in social networks, simplification of communication between the company and the consumer, content creation, involvement of the masses in the life of the company. Direct marketing is building direct marketing communication personally with each consumer, which is carried out through such tools as email newsletters, mailings on social networks and instant messengers, push notifications. Examples of sales promotion (sales promotion) are: a discount for a repost or a coupon for a product / service for a review on a website or any feedback platform. Conducting online events, competitions, distribution of prizes, etc., can also serve as a sales promotion technique. The paper also highlights the question of the degree of importance of the company’s own website, as well as an account on a social network for the development and promotion of business in the Internet space. Purpose. Analytical analysis of the four components of communication marketing, as well as solving the problem of choosing between traditional and modern methods of business promotion. Methodology of this article is the analysis of scientific literature in the field of business promotion, followed by a synthesis of the data obtained. Results: conclusions about the advantages of modern methods of promotion using Internet technologies. Practical implications: results obtained can be applied in the field of marketing of both small and medium-sized businesses to select the most effective model for promoting an enterprise.

In modern conditions, it is quite difficult to keep track of all existing threats to network security. The article considers the main security threats for small and large networks in the context of their characteristics and features of detection. Purpose. Analytical analyze the main security threats for small and large networks, as well as how they are presented. Methodology: when writing the article, the analysis of scientific literature in the field of the main issues of ensuring network security was used, followed by a synthesis of the data obtained. Results: the main security threats for small and large networks are formulated. Practical implications: the results obtained can be applied in the field of information security and personal data protection.

Modern payment services in the form of online banks and accounting services are designed to monitor the user’s funds. This allows you to track bank transactions through a personal account of the web-application, to keep track of the receipt or expenditure of funds. However, for a user who has several credit cards, current accounts, deposits in banks it is necessary to integrate information about current funds in a single information space. The purpose of the study is to develop a prototype web application for accounting personal finances. Method or methodology of work: methods of designing information systems. Results: the analysis of financial accounting applications has shown that they have a number of similar functionalities. These features are related to the registration of the user, the cardholder of a particular bank, tracking the progress of transactions, and ensuring security. However, the applications are limited in terms of the ability to record personal finances of third-party bank cards or electronic virtual accounts (e.g., mobile operators). Therefore, in our work we have developed an application architect, consisting of seven pages. The main page of the site is needed to ensure the safety of the application, receiving notifications from the banks by the user. The main functional purpose of the pages of the site - cards, credits, payments and transfers is aimed at interactive interaction of user with different banks, providing control of receipt and expenditure of money kept on different accounts. It is suggested to introduce the pages goals and calendar into the structure of the site to enable the user to plan expenses by specifying the list of goods and services at certain periods of time. The site page “settings” is used for tweaking the styles of the web-application. Scope of the results: the developed prototype of web-application for accounting of personal finances is needed for practical implementation of the application, which will allow integrating information about the current state of the user’s money.

Effective time management methods for personal tasks allow people who are interested in the optimal use of their own resources to increase the productivity of their activities. With the help of statistical analysis and the general scientific approach of theoretical research, one can come to the conclusion that in the modern world, in order to achieve goals and high results, it is necessary to correctly use such a resource as time. Proper use of this resource involves working with time management methods. The article highlights three main methods of time management with a description of their main idea when performing tasks of varying complexity and urgency. A comparative analysis is given according to the criteria of efficiency and ease of use of a particular method. According to the analysis, the positive and negative features of each of the methods are highlighted, the specifics of the application are determined in relation to the category of tasks.
 Purpose. Analyze the concept of time management, highlight the most effective and common methods of its use.
 Methodology. The article used theoretical analysis and synthesis.
 Results: three main methods of time management were identified and a comparative analysis was built to determine the positive and negative aspects of each method.
 Practical implications he obtained results should be applied by people interested in improving the efficiency of activities and personal growth.