A project is a single system, an interconnected network of elements: participants, resources, processes, and goals. This relationship is critically important for successful implementation by the technical customer service. Processes that are clearly defined and managed ensure consistency and efficiency. Therefore, project design and management requires a systematic approach that takes into account all relationships and strives to optimize each element to achieve a common goal. A system approach is a method that considers a problem or task in terms of its interrelationships and interactions of all elements of the system. In the context of a technical customer service, this approach can be particularly useful for project management, process optimization, and work efficiency improvement.

Keywords: construction project, technical customer, planning, technologies, risks, system approach, project management, documentation of processes, construction site, system

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

The article contains the results of stress analysis in dangerous sections of a single-span steel box beam made of two channels, strengthened with two metal strips welded at the top and bottom between the channels, with different geometric characteristics of the strengthened elements. The results of a numerical experiment of strengthened beams are presented. According to the results of the numerical experiment, it was found that equalization of stresses in dangerous sections allows to reduce the material consumption of the structure in comparison with beams selected according to the assortment for the required moment of resistance.

Keywords: steel beam, load-bearing capacity, stresses, displacements, finite element method, structural strengthening

The article explores the application of a systems approach and machine learning methods to forecast psychoemotional states based on digital activity in social networks. The study addresses the urgent need to assess the psychological impact of increasing user engagement with digital platforms by using quantitative and algorithmic tools instead of subjective expert assessment.
The main objective of the research is to identify patterns in the relationship between time spent on social networks and self-reported indicators of mental well-being, including symptoms related to ADHD, anxiety, self-esteem, and depression.
Data was collected through an anonymous survey administered via the LMS platform of SUAI. The sample included 473 participants, with 75% under the age of 35. Preprocessing steps involved cleaning outliers, imputing missing values, and formatting the data for analysis. Correlation matrices and heatmaps were created, followed by clustering using the k-means method. A stacked meta-model based on logistic regression and Gaussian Naive Bayes with a random forest as the final estimator was used for classification.
The study revealed distinct user groups with varying levels of vulnerability to the influence of social media. The results can be used to develop intelligent systems for monitoring mental health risks and delivering personalized digital recommendations.
The article is relevant to researchers in system analysis and applied machine learning.

Keywords: system analysis, digital activity, social networks, machine learning, clustering, correlation analysis, digital addiction, psycho-emotional state, information mining

The article presents the results of the second stage of a study to assess the load-bearing capacity of a running meter of a centrally loaded wall of various thicknesses, heights and strengths made of masonry. The second stage includes the study of masonry walls with elastic characteristics α = 200, 350, 500, 750 and is a logical continuation of the first stage, in which masonry with elastic characteristics α = 1000, 1200, 1500 was studied.The results of the study make it possible to minimize the use of a software package for preliminary determination of the bearing capacity of a centrally loaded stone structure and can become part of a practical guide for engineers involved in the technical inspection and design of masonry structures.

Keywords: bearing capacity, wall, stone structure, elastic characteristic of masonry, centrally loaded element, stone, brick, block, masonry mortar, coefficient of longitudinal bending, flexibility

Modeling natural convection from steel panel radiators presents a significant scientific and technical challenge. When heating the radiator's vertical surface, a boundary layer of warm air forms and ascends along the wall. Flow remains typically laminar in the lower section, but as the boundary layer develops, it becomes unstable and transitions to turbulence. Beyond temperature head, transition conditions depend critically on heater geometry. Height, panel count, and vertical finning elements directly impact convective flow formation, where optimized geometry promotes early laminar-turbulent transition and intensified convection. While heat transfer is conventionally evaluated through dimensionless correlations (with Grashof numbers near 10⁹ serving as critical transition thresholds for vertical surfaces, corresponding to ~70°C temperature head at 0.5–1 m height), real-world radiator operation maintains laminar flow in lower zones with upper-height transition to turbulence – a process indeterminable via correlation methods. This study proposes a CFD simulation methodology calibrated against laboratory tests conducted per GOST R 53583-2009, enhancing computational result reliability. The calibrated numerical model ensures high-precision prediction of integral heat emission characteristics. CFD implementation enables preliminary radiator behavior analysis without physical prototyping through parametric variation of geometry and thermal properties. The model is readily parameterized by panel dimensions, finning configuration, and material/medium properties, ensuring computational repeatability across configurations. The proposed calibration method (achieved by imposing experimentally measured heat flux values per GOST R 53583-2009) enhances accuracy in predicting radiator's integral performance metrics and improves model-experiment alignment. This approach guarantees computational reproducibility and flexibility in simulating diverse designs (panel sizes, fin arrangements, materials). Validation challenges persist: Absence of experimental temperature/velocity fields complicates mesh sensitivity analysis, while single-dataset calibration risks model overfitting. Nevertheless, this methodology proves strategically valuable for transitioning toward digital certification of heating devices, as it substitutes physical testing with numerically derived integral parameters of comparable accuracy.

Keywords: heating devices, natural convection, free air flow, heat transfer efficiency, laminar-turbulent transition

The article analyzes modern threats to the information security of military personnel in the area of a special military operation, including methods of social engineering and open-source cyber espionage. Based on the systematization of real incidents, regulatory analysis and international experience, comprehensive measures are proposed to protect personal data and counter cyber threats, from technical solutions and digital hygiene protocols to organizational and legal mechanisms. The results of the study are aimed at increasing the awareness of personnel, reducing the influence of the human factor as the main vulnerability and forming a stable information security system in the field. The developed recommendations can be used in the training of military personnel, the improvement of charters and the introduction of cybersecurity standards in the Armed Forces of the Russian Federation.

Keywords: information security, military personnel, special military operation, personal data, cyber threats, digital hygiene, social engineering, cyber intelligence, communications security, military cybersecurity

The article considers the issues of imitation modeling of fibrous material mixing processes using Markov processes. The correct combination and redistribution of components in a two-component mixture significantly affects their physical properties, and the developed model makes it possible to optimize this process. The authors propose an algorithm for modeling transitions between mixture states based on Markov processes.

Keywords: modeling, imitation, mixture, mixing, fibrous materials

 The assessment of the properties of urbanized territories or plots is necessary to determine the most effective use of them and to determine the cadastral or market price. A comprehensive model for assessing the properties of urbanized territories is presented, which is a multiplicative model consisting of two models: an additive model for assessing the properties of the plot under consideration and an additive model for assessing the influence of external factors determined by the adjacent territory. This multiplicative combination of additive models allows for the differentiated determination of the best alternative for different types of plot use based on the influence of internal and external factors when comparing multiple plots at different stages of a development project. To do this, the preference coefficients are calculated using the ratio of the integral estimates of the compared areas. If there are several areas, they can be selected using pairwise comparisons and the analysis hierarchy method.

Keywords: urbanized territory, property valuation, internal and external factors, additive and multiplicative models, development project

The number of information security incidents and the amount of damage caused by them are increasing every year. The relevance of information security incident response remains high. The primary response action is an information security incident localization. The purpose of this study is to reduce the time taken to localize detected information security incidents by information security incident response teams. The purpose is achieved by issuing and using a mandate for information security incident localization by orchestration tools and/or artificial intelligence systems in an automated mode. Analysis and synthesis of available publicly materials were applied as research methods. The results of the analysis and evaluation of different criteria applicability for granting a mandate to localize an information security incident in an incident response are presented in the article. A mandate is granted to orchestration tools and/or artificial intelligence systems to perform localization of an information security incident in an automatic mode, i.e., without the involvement of information security incident response team forces. In evaluation the applicability of various criteria for granting a mandate, unlike the known ones, the level of difficulty in determining values for the criteria in question by information security incident response team forces alone was assessed. Criteria and their values are defined, which, unlike the known ones, highlight the area for information security incidents localization in automatic mode.

Keywords: response team, response area, response, automatic localization, orchestration, artificial intelligence

The article is devoted to the analysis of the process of redesigning industrial buildings in Moscow in the context of urban development of the city. Based on data from the Moscow Department of Investment and Industrial Policy (2023), the current state of industrial zones (hereinafter referred to as industrial zones) is being investigated: 25% of the 150 facilities have already been redeveloped, and over 80 enterprises have been moved outside the MKAD since 2010. Successful transformations (ZIL, Hammer and Sickle, Red October) and criteria for choosing new functionality are considered: location, historical value, ecology, transport accessibility. Using cartographic data, promising areas for renovation (AZLK plant, Compressor, Rubber) have been identified and options for their adaptation have been proposed, from creative clusters to residential complexes. The role of redevelopment in the sustainable development of the city, the need to comply with environmental standards and take into account the needs of local communities is emphasized.

Keywords: Redevelopment, industrial buildings, urban spaces, renovation, industrial heritage, urban development, environmental standards, creative clusters, residential development, public spaces, urban planning policy, industrial zone, sustainable development

Local Multipoint Distribution Service (LMDS) is a broadband microwave communications technology offering a low-cost and multifunctional solution for terminal access applications. This paper develops a rectangular waveguide-based duplexer with a square-ridge T-junction for LMDS. The design of a rectangular waveguide-based metal diaphragm filter in the E-plane is described. The metal diaphragm of this filter can be processed using methods such as etching, ensuring high precision and low cost. The characteristics of a rectangular waveguide-based T-junction in the H-plane used in the duplexer are analyzed.

Keywords: microwave duplexer, E-plane metal diaphragm, microwave filter, ribbed T-junction, local multi-drop distribution service

The article is devoted to the topic of improving the environmental characteristics of construction sites through the introduction of the principles of "green" construction through a comprehensive assessment of various criteria. Compliance with environmental standards contributes to the creation of a favorable urban environment and ensures comfortable living conditions for residents. The introduction of such approaches is becoming extremely important for sustainable development and the preservation of the natural balance.

Keywords: Green construction, ecological construction, life cycle, construction, multi-criteria decision-making.

The article describes the process of sedimentation in water treatment, as well as the formation of tap sludge. A new method of water supply sludge treatment with coagulant regeneration at high turbidity of initial water is proposed. On the basis of the conducted research it is revealed that the greater the coagulant consumption obtained by the sulfatization method, the better the degree of coagulation. The basic technological scheme of water sludge processing by sulfatization method is developed. It is suggested that the obtained coagulant from water supply sludge can be used for repeated preliminary sedimentation. Taking into account the urgency of the problem of providing the population with clean drinking water, it is recommended to conduct pilot testing of the obtained coagulant from tap sludge by the sulfatization method.

Keywords: water treatment, tap sludge, daily regulation basin, sedimentation, turbidity, sulfatization method

The paper investigates the use of architectural combinatorics to solve the problems of multifunctional residential complexes in the conditions of digital transformation. The main methods of combinatorics, including conceptual and formal approaches, are considered. The main stages of evolution of the method, starting from constructivism, and the role of modern digital technologies such as BIM, parametric modeling, machine learning and artificial intelligence in the implementation of combinatorial approaches are described. Attention is given to sustainable architecture and optimization of spatial solutions. Successful and problematic project examples are analyzed. Limitations of the application of the technologies are analyzed, as well as ethical and social aspects of their use. The conclusions substantiate the significance of the method in the context of contemporary challenges.

Keywords: architectural combinatorics, combinatorial methods, multifunctional residential complex, sustainable development, sustainable architecture, adaptive architecture, digital technologies, BIM, parametric modeling, machine learning, artificial intelligence