Introduction: Mobile Gaming Addiction (MGA) has emerged as a significant public health concern, with the World Health Organization recognizing it as a gaming disorder. Russia, with its growing mobile gaming market, is no exception. Aims and Objectives: This study aims to explore the feasibility of using neural networks for early MGA detection and intervention, with a focus on the Russian context. The primary objective is to develop and evaluate a neural network-based model for identifying behavioral patterns associated with MGA. Methods: A proof of concept study was conducted, employing a simplified neural network architecture and a dataset of 101 observations. The model's performance was evaluated using standard metrics, including accuracy, precision, recall, F1-score, and AUC-ROC score. Results: The study demonstrated the potential of neural networks in detecting MGA, achieving an F1-score of 0.75. However, the relatively low AUC-ROC score (0.58) highlights the need for addressing dataset limitations. Conclusion: This study contributes to the growing body of literature on MGA, emphasizing the importance of considering regional nuances and addressing dataset limitations. The findings suggest promising avenues for future research, including dataset expansion, advanced neural architectures, and region-specific mobile applications.

Keywords: neural networks, neural network architectures, autoencoder, digital addiction, gaming addiction, digital technologies, machine learning, artificial intelligence, mobile game addiction, gaming disorder

The article analyzes the existing programs for training the population in actions and organization of actions in the field of civil defense, as well as in the field of protecting the population from natural and man-made emergencies. Conclusions are drawn about the relevance of existing programs, problems in this area are highlighted, and solutions are proposed to increase the effectiveness of these teaching methods.

Keywords: natural emergencies, civil defense, emergency situations, civil defense, training program, population training, avalanches, life safety, railway

The article explores a model in which it is possible to predict the timing of obsolescence of a construction site. The purpose of the described techniques is to ensure stable operation and reliable operation of facilities. The presented methodological approaches make it possible to improve the accuracy of the assessment of degradation processes, covering both technical elements and structural parts of buildings and infrastructure systems. The article focuses on effective tools and methods used to survey the current state of real estate, as well as to anticipate changes in their performance over time. The paper considers the application of a generalized computational wear scheme that demonstrates changes in the organization and destruction of building elements throughout the service life. This scheme takes into account the continuous influence of external conditions on the structure of the structure. The universal formula proposed for the analysis serves as a research tool and displays the course of changes in the state of technical systems under the influence of prolonged loads.

Keywords: organizational and technological solutions, reliability, quality control, monitoring of compliance with standards, efficiency, production costs

The article is devoted to the formalization of quality assessment criteria in the framework of the development of an automated quality management system at the stage of design preparation for the production of machine-building products. The main focus of the research is in the development of the terms of reference (TK). The author suggests formal criteria for assessing the quality of TK, aimed at forming comprehensive requirements for the design of the product and the organization of work. The methodology is based on a systematic analysis of domestic and foreign literature, as well as regulatory documents, and the formation of a graduated quantitative scale for each assessment criterion based on them. The key evaluation criteria are highlighted, each of which is assigned characteristics and scoring systems for quantitative analysis and the possibility of subsequent use when creating an automated quality management system at the checkpoint stage. The work contributes to improving the quality and competitiveness of products through a systematic assessment of the initial stage of development and the formation of the correct requirements for innovative products. The research results are focused both on research in scientific peer-reviewed journals of the Russian Federation, and with attention to international experience, which allows combining existing experience in the subject area.

Keywords: design preparation of production, quality assessment, formal criteria, terms of reference

The application of electric energy storage systems in the electric power industry of the Russian Federation is considered using the example of the Irkutsk Region and the Zabaikalsky Krai. Statistical data are provided, and an analysis is conducted for the specified objects of the electric power complex. The results of calculating the economic efficiency of implementing energy storage systems are presented

Keywords: electric power grids, renewable energy sources, energy storage systems, power supply

Support for decision-making in response to forest fires is a complex multi-criteria process. This article provides a comparative assessment of the validity of decisions made using three decision support tools. The analytic hierarchy process, analytical network method, and TOPSIS method were used for the assessment. The uncertainty, volume, and degree of heterogeneity of the data taken into account when making decisions were considered as validity criteria. The conducted studies have proven the possibility of using the intelligent decision support system developed by the authors to respond to forest fire threats, as well as increasing their validity compared to other tools.management decisions. The validity of management decisions is understood as an objective representation of the state of the external environment (uncertainty of data and decisions, the volume of processed data, the dimension of the feature space) from the point of view of the problem being solved by the decision maker. The evaluation of tools allows you to determine the preference of tools in terms of the criteria under consideration.

Keywords: multi-criteria assessment, forest fires, validity, intelligent decision support system

This study is devoted to the analysis of decision-making models in ensuring the protection of public order. The results obtained will allow us to formulate a new mathematical model of decision-making, which will allow us to obtain objective management decisions to ensure the protection of public order in the territory of the Republic of Tajikistan with the possibility of simulation. The object of the study is the process of ensuring the protection of public order. In the scientific literature and in open sources of information, there is a large number of works describing models and algorithms developed on the basis of various mathematical tools. The analysis of a number of papers on this topic will allow us to formulate a new mathematical model of decision-making, which will optimize and improve the quality of prepared decision-making projects while ensuring the protection of public order. The study revealed that the basis for improving the effectiveness of ensuring the safety of citizens during mass events is an effective management decision. 1) Based on this, an analysis of decision-making models is presented, the purpose of which is to determine the need to create a decision-making model while ensuring the protection of public order in the Republic of Tajikistan. 2) A model of decision-making in ensuring the protection of public order in the Republic of Tajikistan is proposed. The model is implemented based on the synthesis of mathematical modeling methods, including cluster analysis, pairwise comparison method and Petri nets. The model allows you to divide committed events, i.e. crimes into clusters according to previously defined criteria. At the final stage, the model allows you to simulate each event, thereby predicting the possible development of the event under study. The presented results of the analysis of decision-making models made it possible to formulate a new mathematical model of decision-making in ensuring the protection of public order in the interests of the Republic of Tajikistan.

Keywords: public order protection, mathematical model, cluster analysis, pairwise comparison method, expert assessments, Petri nets

The article presents a comparative analysis of the forecasting accuracy of five methods for demand and price time series: classical statistical approaches, machine learning algorithms, and a deep learning architecture.

Keywords: time series forecasting, road freight transportation, machine learning, gradient boosting, recurrent neural networks, comparative analysis of forecasting methods

This article examines an approach to designing the architecture of management decision support systems for entrepreneurial structures using artificial intelligence (AI) technologies. It is demonstrated that traditional decision-making methods fail to provide sufficient speed and justification for management actions in the face of high market volatility and information overload. A multi-level architecture is proposed, based on the principles of modularity, human-AI hybrid interaction, explainability, and incremental development. The system's structure, comprising four layers, is presented. Particular attention is paid to the role of the human-in-the-loop and the threshold control of decisions. Using small and medium-sized enterprises as an example, it is shown that the proposed approach enhances forecast accuracy, accelerates the management cycle, and fosters a culture of trust in analytics. The architecture ensures adaptability, transparency, and regulatory compliance, making it an effective tool for implementing AI in entrepreneurial structures.

Keywords: management decision-making, architecture, artificial intelligence, human-in-the-loop, digital transformation, intelligent support

A two-level mathematical model of optimal management of investment and construction projects is proposed. The Customer acts as the upper-level or leading control entity in the model. The General Contractor is the lower-level control entity. It is assumed that both control entities strive to maximize their gain. The target function of the leader takes into account the estimated fixed income from apartment sales, profit from the velocity of money circulation, and the average estimated payment for work. The target function of the follower takes into account the payment for work from the Customer, additional payment or a fine, and payment for workers. The information regulations of the Stackelberg game are used in the study of the model. An algorithm for constructing a solution is given. In the general case, the problem is solved numerically by means of simulation modeling. The results of numerical experiments are given. A number of conclusions are made.

Keywords: two-level hierarchical model, Stackelberg equilibrium, customer, general contractor, leader, follower

This article reveals the features of the operation of information and measuring systems during gas transportation. The issues reflected in the article are particularly relevant in the context of the need to achieve the efficiency of information and measuring systems in the oil and gas industry. The purpose of the scientific research is to develop an approach to information and measuring systems in oil and gas organizations based on the digital twin model. To achieve this goal, the article analyzes practical cases of information and measuring systems in oil and gas organizations, reflects the features of certification of information and measuring systems used in oil and gas organizations, and presents the results of developing an approach to information and measuring systems in oil and gas organizations based on the digital twin model.

Keywords: information and measuring systems; oil and gas industry; certification; digital twin model; gas transportation; approach; work efficiency

The article analyzes modern methods of planning and rescheduling schedules for software development projects in conditions of dynamically changing requirements and limited resources. The scientific task of optimizing the management processes of the development team through the dynamic allocation of tasks is formulated, which is relevant due to the need to quickly respond to changes in the production calendar and project input data. The proposed solution is based on the use of a genetic algorithm to automate schedule rescheduling, which allows taking into account key performance criteria such as minimizing downtime, optimal load distribution among employees, and compliance with technological dependencies between tasks. The analysis showed that the dynamic rescheduling technique is able to quickly adjust the initial schedule when new requirements appear or working conditions change, which significantly improves the quality of planning and increases the system's resilience to external changes. The results of the study confirmed that the developed approach allows achieving an optimal balance between the usefulness of the work performed and the cost of adjusting the plan. The data obtained indicate that the use of genetic algorithms for dynamic schedule management in software development projects is highly promising, which opens up opportunities for further research in the field of flexible management methods and adaptive resource allocation in conditions of uncertainty.

Keywords: genetic algorithms, optimization problems, schedule theory, project management, the problem of ordering projects with limited resources

Concepts of organizational queueing system and organizational queuing system of the type "ralway - marine port" are introduced. We prove an activity of the main components of these queuing systems and present their characteristics. Relative to this class of organizational systems we specify the control problems and formulate the viability conditions which are required to provide sustainability.

Keywords: control in organizatioal systems,interaction between railway and marine ports, sustainable development

The purpose of developing the model and algorithms is to improve the management of public training in the field of public protection and civil defense of the Republic of Tajikistan as an integrated system that combines a set of interconnected elements that form its emergence and are determined by a set of functional properties, hierarchy and multiplicity of descriptions, as a complex organizational system [1]. The research uses methods of analysis and systematization. In particular, John Cotter's model of change is used, which allows structuring the process of managing the training of the population at different levels. Algorithms have been developed that take into account different social groups and their specific needs. This makes public education programs more adaptable and accessible to everyone. The obtained training algorithms can serve as a basis for improving public training management in the field of public protection and civil defense by integrating them into functional and infological models. The mathematical model of assessing the readiness of the population makes it possible to identify weaknesses in the training of the population and develop specific measures to eliminate them. The developed training management model and algorithms contribute to the formation of a structured system focused on the real needs of citizens. This includes their active participation in ensuring security, which, in turn, contributes to the creation of a more secure and secure environment in the country. The results of the study can be the basis for further development of the civil defense system in Tajikistan and improvement of training in the field of public protection and civil defense in emergency situations.

Keywords: civil defense, public training system, public training model, public training management, Republic of Tajikistan

This article explores the development and implementation of an intelligent chatbot for information support for university staff and students. The solution is integrated into a unified personal account and is based on the locally deployed Gemma language model, the n8n automation platform, and the Supabase vector database. The design methodology, technology comparison, system architecture, implementation process, and testing results are described. Implementation of the system enabled the automation of 85% of routine queries, reduced the average response time to 1.8–2.1 seconds, and increased user satisfaction to 4.58 out of 5. The study's results can be adapted for various automated educational systems, particularly for providing information support to operators in computer simulator training courses.

Keywords: intelligent chatbot, language models, artificial intelligence, information support, higher education, semantic search

In this work, an approach is considered, which makes it possible to obtain scientific-based management decisions on the development of organizational systems. The purpose of the work is to show in a particular example the development of a fuzzy cognitive model development process, to analyze the model for sustainability, to determine the activation vertex complexes. The toolkit for describing and analyzing a fuzzy cognitive model is based on the basic concepts of fuzzy graph theory. Simulation results are given, directed to the development of possible scenarios for the development of situations of a socio-economic system of the Rostov region. The results are clearly illustrated by examples of fourteen scenarios, the matching of which to the main factors made it possible to determine a plurality of pessimistic and optimistic and to give recommendations to the face receiving the decision.

Keywords: control, organizational system, cognitive model, simulation modeling, fuzzy graph, sustainability

Rapid digitalization and the transition to flexible management methodologies pose fundamentally new challenges for IT project managers. Previously, classical planning schemes ensured the stability of processes, but today they are increasingly becoming vulnerable to chaotic requirements and staffing shortages in the industry. Paradoxically, technological progress, which generates these challenges, simultaneously offers tools to overcome them — intelligent assistants begin to play the role of strategic partners in decision-making. The central element of the study was an experiment on the integration of a cognitive assistant into the Timetta company's workflows. An analysis of the twelve-month implementation cycle revealed a curious pattern: the combination of generative language models with predictive analytics not only optimized routine operations, but also changed the very logic of interaction in teams. Automation of processing 63% of typical requests through NLP mechanisms freed up resources for solving creative tasks, which affected key metrics - reaction time was halved, and the employee loyalty index reached record levels. An unexpected discovery was the "synergy zone" between artificial and human intelligence. Contrary to the expectations of skeptics, algorithms have not replaced managers, but have become a kind of "cognitive enhancer." Dynamic dashboards and scenario risk modeling have transformed not so much the processes as the thinking of project participants. However, the success of this collaboration turned out to be fragile – the efficiency of the system dropped sharply when trying to completely replace specialists, which underscores the importance of balance in hybrid management models. The practical results of the research raise new questions for the community. How can algorithms be customized to suit the cultural characteristics of the teams? What ethical framework should be established for AI intermediaries in conflict situations? The answers to these challenges will be crucial for the next stage of the evolution of project management, where technological power will not be a competitor, but a continuation of human expertise.

Keywords: organizational management, software projects, intelligent decision support system, knowledge management, ontology, artificial intelligence, risk management, predictive analytics, resource allocation, flexible management

Urban water supply systems in Iran and Turkey are facing increasing pressure due to leakages, inefficient resource use, and lack of a proactive management approach. This study proposes an integrated engineering model combining Internet of Things (IoT) sensors, a loss calculation algorithm (ΔQ), and a multi-criteria demand analysis (MCDA) method to identify, prioritize, and fix water leaks in urban infrastructure. The developed system, named Smart Leak, was tested in pilot areas of Tehran (District 3) and Istanbul (Beyoğlu District) where real-world data collection and expert assessment were carried out. The model includes a digital monitoring architecture, dashboards, an alert system, and integration with Google Sheets and App Sheet. The results showed a 27% reduction in leak detection time, improved prioritization accuracy, and improved resource allocation efficiency. In addition, the MCDA–LCA criteria heat map highlighted the priority of environmental factors in decision making. The developed approach demonstrates scalability, adaptability and suitability for application in cities experiencing water shortages. The system can be integrated into smart city platforms for sustainable water management.

Keywords: sustainable development, environmental project management, socio-economic effects, renewable energy, circular economy, waste-to-energy recycling, urban infrastructure, Tehran, Mashhad, Isfahan, Shiraz, Istanbul

The article shows the importance of the role of clinical engineering departments to ensure high-quality comprehensive control of the state of medical equipment at all stages of its life cycle. The main resource of such departments is the competence resource of clinical engineers and their working time resource. In order to rationalize the use of these resources, we systematized the causes of failures of medical devices. Based on this, a number of general metrics were developed that characterize the adaptability of clinical engineering departments to the conditions of a specific medical institution, such as the competence profile of the department and the profile of the need for technical maintenance of medical devices. The use of these data made it possible to formalize the algorithm for managing the clinical engineering department, aimed at maximizing the useful use of the human capital of these departments.

Keywords: clinical engineering, clinical engineer, time budget, performance metrics, medical device maintenance

The article proposes a concept of spatially-oriented risk management in territorial systems, taking into account the relationship between threats, development goals and measures of influence. The model is based on the geographical distribution of factors and assumes scenario analysis of spatial changes. Particular attention is paid to integration with regional geoportals as means of visualization, data aggregation and decision support. The role of risks not only as constraints, but also as sources of transformation is emphasized. The presented approach is aimed at increasing the adaptability of management, coordinating spatial interests and developing an analytical infrastructure capable of supporting strategic planning in the context of natural and socio-economic instability.

Keywords: geographic information system, geoportal, risk analysis, spatial data, geosystems, geographically distributed organizational system

The article analyzes traditional and flexible project management methodologies, their key features, advantages and limitations. Traditional methodologies such as the waterfall model and the critical path method rely on sequential planning that is suitable for projects with fixed requirements. Agile methodologies (Agile, Scrum) are highly adaptable, which is important for projects with frequent changes. The authors compare the conditions of application of both approaches and describe the criteria for choosing a methodology depending on the type and dynamics of the project. The article will be useful for both practitioners and researchers in the field of project management.

Keywords: project management, project management methodology, cascade model, critical path method, program evaluation and review technique, agile software development, critical path method

In the article the sustainability of the network model of districts within the subsidized region is investigated both in terms of each of their dynamic parameters: fixed assets, labor population and its efficiency; and in their combination. In addition, the problem of the lower level in the hierarchical system is solved in the form of a Nash equilibrium – optimal district strategies are found for a given known distribution of subsidies by the region between them. It has been revealed that if there are subsidies to the district, agents do not care how much money is allocated to the development of the district, since all consumption of the district is provided by subsidies, and there are no subsidies to the district, it has to spend 90% of gross product to invest in production.

Keywords: continuous dynamic model, discrete dynamic model, subsidized region, target functions, share of investments, relationships between districts, fertility rate, mortality rate, fixed assets, labor population, Nash equilibrium

Distributed data storage systems (DSS) are multi-parameter, complexly configurable systems. Fault tolerance and reliability of DSS data storage are ensured by a set of different methods. To assess the efficiency of new methods, it is convenient to use software tools that simulate the operation of DSS. The purpose of this work is to study the existing software simulators of DSS to assess the potential of their use. The study is based on the analysis of several software simulators that model the operation of DSS. The analysis took into account such parameters as the choice of the redundancy introduction method, the data placement method, the data recovery algorithm after failure, and the choice of storage architecture. The results of the study show that simulators offer a wide range of options for modeling fault tolerance, but some of them demonstrate greater efficiency in some scenarios. A generalized structural diagram of the simulators is built, revealing the features of the architecture and principles of operation. The CR-SIM simulator has the greatest functionality, but its source codes and executable file are not available. Simulators with open source code do not have a flexible architecture for their expansion with new methods. The сonclusion is made about the need to develop a new simulator in the form of an open source software tool, the architecture of which is designed for its expansion. Such a simulator will allow testing new developments in the field of fault tolerance enhancement technologies.

Keywords: data storage system, fault tolerance, erasure codes, software simulator, dependability, simulation model

An optimization model has been developed for the minimum required number of employees carrying out transport security measures included in transport security units, taking into account the algorithm for distributing employees, including various groups according to individual functions performed at different security levels, as well as the likelihood of various threats to transport security.

Keywords: transport strategy, digitalization of transport security, cost optimization, transport security units, requirements for ensuring transport security

The study is devoted to the development of electronic and distance learning tools for mastering the skills of applying mathematical methods by specialists in the field of automated systems development. The concept (structure) of an automated information system (AIS) for managing the life cycle of exercises to study optimization methods has been developed and schematically presented. An important element of decision support in the AIS is software simulators (training and training components) that generate exercise options and automatically check them based on the properties of mathematical models of optimization problems. An algorithmic and prototype software for the training subsystem for monitoring the skills of solving optimization problems have been developed. Variations in the interfaces for constructing a mathematical model for an optimization problem by a student when performing an exercise in the AIS are demonstrated. Building a model in the interface and, accordingly, the complexity of the exercise depends on the number of model parameters that can be changed by the student. The simulator provides an integral assessment of the student's actions when performing the task. The introduction of the simulator into the digital educational environment of the university will automate and simplify the implementation of current and intermediate control of knowledge and skills in the disciplines studied.

Keywords: optimization problems, mathematical programming, decision support, software simulator, mathematical modeling of systems and processes, visual modeling