The compositions of self-compacting fine-grained concrete using mineral additives such as silica, limestone flour and trepel, as well as polycarboxylate superplasticizer, have been studied. The main attention is paid to the effect of the composition of the mixture on the compressive and flexural strength, density, water resistance and frost resistance of concrete. The test results showed that samples with silica demonstrate increased strength, while the introduction of trepel and limestone flour reduces this indicator. The highest density and frost resistance (F600) were achieved in formulations with silica, without additional additives. The work highlights the importance of optimizing the grain composition of aggregates and the choice of plasticizers to improve concrete performance.

Keywords: self-compacting concrete, fine-grained concrete, silica, polycarboxylate superplasticizer, limestone flour, trepel, strength, density, frost resistance, water resistance

The article considers the issues of studying the wind regime of the territory of residential areas. The results of modeling a city microdistrict and wind flows in it using the multifunctional software package Ansys Discovery Live are presented. The analysis of the wind regime of the territory with different volumes of development from the point of view of the comfort of a person in it is carried out, comfortable and uncomfortable aeration zones are determined. The comparison was made for a residential complex consisting of four groups of houses with their courtyards, with a southern direction of the incoming wind flow. An assessment of the influence of the surrounding development on the wind situation is given. The use of computer modeling of the wind regime of residential development is relevant at present, since information on the nature of the movement of air flows helps to improve the comfort of cities for the population.

Keywords: wind regime, urban development, residential development, urban development, numerical modeling, Ansys Discovery Live, ventilation, wind comfort, aeration regime, aeration

This article presents a structured approach to deploying and integrating Grafana, Loki, and Alloy in Kubernetes environments. The work was performed using a cluster managed via Kubespray. The architecture is focused on ensuring external availability, high fault tolerance, and universality of use.

Keywords: monitoring, ocestration, containerization, Grafana, Loki, Kubernetes, Alloy

The article considers the issue of forming a system of public spaces on university campuses as a key factor in educational, social and innovative activities. The functions, typology and principles of organizing campus public spaces are analyzed in the context of modern educational paradigms and urban trends. The scientific novelty lies in the systematization of the principles of organizing public spaces of various types as a single system that responds to the challenges of digitalization and the actualization of social interaction. A conclusion is made about the need to move from designing individual spaces to creating a holistic, flexible and multifunctional system that serves as the framework for university life.

Keywords: university campus, public space, educational environment, social interaction, innovation ecosystem, campus urbanism

The arrangement of protective structures of civil defense is currently vitally important, especially for populated areas located near the combat zone. A pressing issue in the design of shelters is the correct determination of the volumes of air exchanges required to ensure the stay of those sheltered during the standard periods. An analysis of changes in climate and microclimate parameters over the past years and methods for calculating air exchange in protective structures was conducted. A classic model of the process of changing the temperature and humidity of the air with a variable coefficient of inclination of the beam of such a process was built. The redundancy of air exchanges calculated according to the data and methods of the latest regulatory document is shown, leading to an increase in capital costs for the arrangement of a shelter.

Keywords: air exchange, civil defense shelters, climate parameters, indoor microclimate, graph-mathematical model of air exchange

The article is dedicated to analyzing the changes in museum design in the context of the rapid integration of digital technologies. It examines the ways of integrating multimedia systems, virtual and augmented reality into the architectural structure of museum spaces. Based on the analysis of domestic and foreign examples, new approaches to exhibition formation are identified, built on principles of flexibility, interactivity, and immersiveness. The emphasis is placed on the changes in typological models of museums: from traditionally hierarchical to adaptive, transformable formats. Special attention is given to the evolving role of the architect, acting as a mediator between digital scenarios and spatial expression. As a result, the museum of the future is envisioned as a complex spatial-technological ecosystem, in which architecture becomes an active participant in communication with visitors through digital content and technological interfaces.  

Keywords: typology, digitalization, museum, immersiveness, architecture, multimedia, museum of the future, design, digital exhibition, exhibition space

Currently, one of the main factors influencing the formation of architecture is the functional purpose of the building, since it determines the essence of the architectural object. The purpose of the scientific work is to study the influence of building functions on the historical architecture of Europe and their impact on the development of modern architecture. This article sets the objectives of studying the classification of functional purposes of buildings, conducting a retrospective analysis of the development and formation of architectural styles in Europe, based on world design experience and the conducted research to identify the influence of the building function on its planning and volumetric-spatial solutions in the process of architecture development. The research method is the analysis of the historical architecture of Europe from the time of the inception of architecture to the present day, carried out on the basis of world design experience in different eras. In the course of the study, four main trends in the development of the functions of modern architecture were identified: integration with nature, creation of adaptive spaces, multifunctionality and development of new functions. It is concluded that the building function played the most important role throughout the entire period of architecture formation, which led to the emergence of a huge variety of building types today and made a significant contribution to the development of architecture of the XXI century.

Keywords: architecture, historical architecture, architectural style, functional purpose, European architecture, building type, retrospective analysis, function, influence, development

Choosing a programmable logic controller is one of the most important tasks when designing an automated system. The modern market offers many options, different in characteristics, which have different priorities for production. The paper proposes a method for evaluating the overall effectiveness of software logic controllers. When evaluating the selected characteristics, linear scaling and weight coefficients are introduced that take into account the importance of the parameter for the controller in question compared to others. The weight of the parameter in the calculation is set using a coefficient. The values of the weight coefficients may vary depending on the requirements of the technological process.

Keywords: programmable logic controller, efficiency evaluation method, weight ratio, petal diagram

This paper considers the problem of task scheduling in manufacturing systems with multiple machines operating in parallel. Four approaches to solving this problem are proposed: pure Monte Carlo Tree Search (MCTS), a hybrid MCDDQ agent combining reinforcement learning based on Double Deep Q-Network (DDQN) and Monte Carlo Tree Search (MCTS), an improved MCDDQ-SA agent integrating the Simulated Annealing (SA) algorithm to improve the quality of solutions, and a greedy algorithm (Greedy). A model of the environment is developed that takes into account machine speeds and task durations. A comparative study of the effectiveness of methods based on the makespan (maximum completion time) and idle time metrics is conducted. The results demonstrate that MCDDQ-SA provides the best balance between scheduling quality and computational efficiency due to adaptive exploration of the solution space. Analytical tools for evaluating the dynamics of the algorithms are presented, which emphasizes their applicability to real manufacturing systems. The paper offers new perspectives for the application of hybrid methods in resource management problems.

Keywords: machine learning, Q-learning, deep neural networks, MCTS, DDQN, simulated annealing, scheduling, greedy algorithm

This article is devoted to the study of the possibilities of machine learning technology for forecasting the demand for goods. The study analyzes various models and the possibilities of their application as part of the task of predicting future sales. The greatest attention is focused on modern methods of time series analysis, in particular neural network and statistical approaches. The results obtained during the study clearly demonstrate the advantages and disadvantages of different models, the degree of influence of their parameters on the accuracy of the forecast within the framework of the demand forecasting task. The practical significance of the findings is determined by the possibility of using the results obtained in the analysis of a similar data set. The relevance of the study is due to the need for accurate forecasting of demand for goods to optimize inventory and reduce costs. The use of modern machine learning methods makes it possible to increase the accuracy of predictions, which is especially important in an unstable market and changing consumer demand.

Keywords: machine learning algorithms, demand estimation, forecasting accuracy, time sequence analysis, sales volume prediction, Python, autoregressive integrated moving average, random forest, gradient boosting, neural networks, long-term short-term memory

This paper explores the content-based filtering approach in modern recommender systems, focusing on its key principles, implementation methods, and evaluation metrics. The study highlights the advantages of content-based systems in scenarios that require deep object analysis and user preference modeling, especially when there is a lack of data for collaborative filtering.

Keywords: сontent - oriented filtering, recommendation systems, feature extraction, similarity metrics, personalization

The article presents the results of comparing numerical modeling of wooden structures with laboratory and full-scale tests. In the course of the work, numerical models of the material were created in the Ansys Workbench software package from volumetric finite elements with a variant set of physico-mechanical parameters simulating the behavior of real wood. The simulation parameters were based on the laboratory testing results of a solid wood beam. The simulation results were compared with the full-scale test results of a composite wood slab. Modeling of constructions was carried out in the form of linear, bilinear and multilinear models.

Keywords: solid wood beam, composite wood slab, bilinear finite element model, multilinear finite element model, stress-strain state

The article is devoted to the study of the influence of the choice of the calculation scheme on the accuracy of the engineering assessment of the behavior of monolithic reinforced concrete frame structures. Various types of models are considered: rod, plate and volumetric, taking into account both linear and physical nonlinearity. It is emphasized that the adequacy of accounting for the spatial interaction of elements, the reliability of the assessment of forces and stresses, as well as the possibility of optimizing design solutions, especially under seismic and wind loads, depend on the correctness of the adopted calculation scheme.
As part of the study, a single-span reinforced concrete frame was modeled, the load on which varied from 5 to 55 kN. A comparison of the calculated results with experimental data was carried out. It is shown that models that take into account physical nonlinearity and use more detailed modeling (for example, volumetric finite elements) provide the greatest accuracy in predicting deflections and stresses in the structure.
The obtained results confirm the necessity of a careful approach to the choice of the calculation scheme in design, especially in the design of high-rise buildings and structures in seismically dangerous areas. Recommendations are made on the rational use of models of different levels of detail in engineering practice.

Keywords: linear calculation, nonlinear calculation, frames, reinforced concrete, deflections, modeling

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

A system of expert-analytical methods for decision support at the design stage of multi-apartment residential buildings has been developed. The objective of the study is to economically evaluate the developed methods at the design stage of construction projects. Fuzzy logic is used as a mathematical basis for intelligent automated decision support systems. The method for assessing the investment attractiveness of residential complexes provides decision support based on the average area of ​​an apartment and the number of apartments per floor. The method for assessing the attractiveness of building a multi-storey residential building takes into account the class of housing, the height and area of ​​the building. An economic justification for the use of expert systems is provided and it is shown that calculating the construction attractiveness coefficient allows increasing the profit of a construction organization within 30% due to the use of empirical knowledge and specialized engineering solutions.

Keywords: intelligent automated system, design, multi-apartment residential building, economic assessment, investment attractiveness, fuzzy logic