In the current regulatory documents on the design of reinforced concrete structures, a number of conditional assumptions and limitations are adopted, taking into account the specific nature of the resistance of structural elements and simplifying the calculation. One of these assumptions is the assignment of the deformation properties of concrete as average statistical values, which, along with strength characteristics, determine the stress–strain diagrams of the material.
The influence of concrete freezing–thawing cycles (FTC) leads to the degradation of its deformation and strength properties. The failure mode of a flexural reinforced concrete element (plastic or brittle) depends on the strength and deformation characteristics of the concrete and reinforcement, as well as on the reinforcement ratio.
This study examines the statistical patterns of the ultimate reinforcement ratio and the limiting relative height of the compressed concrete zone under alternating freezing–thawing conditions. The analysis of the statistical regularities of the parameters used and their functional relationships confirms their significant variability and, as a consequence, the possible fluctuations (reduction) of the design reliability level of flexural reinforced concrete structures.
Modeling the variability of the strength of flexural reinforced concrete elements under FTC using statistically representative data on the kinetics of the physical and structural parameters of concrete confirms a sharp decrease in reliability and indicates the need for additional targeted research in this field.

Keywords: freezing–thawing cycles, statistical patterns of resistance, reinforced concrete, ultimate concrete strains, reliability of the limiting relative height of the compressed concrete zone, reliability of the ultimate reinforcement ratio

The article presents the experience of a pilot project on the integration of calendar-network planning, BIM-modeling and virtual reality technology for the management of a construction organization. For this purpose, a sequence of steps for integrating technologies is presented and a combination of technologies is performed on the basis of a single digital platform; fragments of the developed calendar-network schedule and BIM model and the results of their combined display in VR glasses are presented.

Keywords: calendar-network planning, calendar-network schedule, BIM-modeling, virtual reality technology, VR-glasses, unified digital platform, TrinusVR

The paper is devoted to the problems of MicroGrid technology development, consisting in the construction of a distributed energy supply system based on autonomous energy generation sources. The objective of the paper is to construct models and procedures for decision support in multi-criteria selection of combined autonomous energy generation projects from a large number of possible alternatives. To achieve the objective, a morphological analysis of the subject area was carried out (using the method of systematic field coverage by F. Zwicky), as a result of which a space of alternatives of combined energy sources was constructed. A group ordering of criteria was carried out based on their expert assessment. Sequential application of the modified analytical network method using ordered groups of criteria made it possible to limit the number of criteria taken into account at each stage (by the number of criteria in a group) and consistently reduce the number of alternatives (considering only a few of the best alternatives of the previous stage). The proposed multi-stage procedure makes it possible to reduce (at each stage) the dimension of the supermatrix of the analytical network method and, thereby, reduce the time complexity of the procedure compared to the direct application of this method. The use of the proposed procedure makes it possible to consider a larger number of alternatives taking into account a larger number of criteria (compared to traditional methods of decision support), and, therefore, allows for an increase in the level of scientific validity of technical and economic decisions when designing MicroGrid systems

Keywords: MicroGrid, autonomous power system, decision support, analytical network method

The article considers issues related to making management decisions when ensuring safety in emergency situations. It reflects the features of making management decisions in emergency situations, when achieving a guaranteed level of safety is not always possible. The control loop is presented and the connections between the elements of the first and second stages are analyzed. It is shown that uncertainty in making management decisions arises due to a lack of information about the control object or is caused by unprofessional actions of the decision maker. It is proposed to create and use in practice a digital twin of safety in an emergency situation to eliminate uncertainties in making management decisions. Decomposition of the task into subtasks allows for the process of collecting and analyzing aggregate information about the control object to eliminate uncertainties and minimize risks in the development, adoption and implementation of management decisions in an emergency situation when ensuring safety.

Keywords: control model, control loop, uncertainty, risk, digital twin, decomposition, emergency safety

The development, implementation and continuous improvement of diagnostic systems for Russian Railways (RZD) infrastructure facilities are defined as conditions for ensuring reliable and safe operation. The current concept regulates the stages and directions of development of diagnostic systems for the period up to 2030, with a development perspective up to 2035. It is planned to create integrated, stationary and mobile monitoring and diagnostic systems.
The most optimal, from the point of view of the effectiveness of the diagnostic system, is to provide the ability to monitor diagnostic parameters with a given accuracy, automatically, without disabling equipment, in real time. This approach significantly simplifies operational control procedures. There is no need to change the condition of the equipment and power supply circuits. The number of personnel involved in carrying out diagnostic procedures is decreasing, as well as the influence of the human factor on the results is decreasing. The article discusses ways to automate the isolation control of Russian Railways infrastructure facilities.

Keywords: diagnostic system, infrastructure, operational control, automation

This paper addresses the problem of improving the accuracy and objectivity of meat quality assessment. An approach to automated product evaluation is presented, based on the integration of a computer vision system (CVS) and deep learning methods. A convolutional neural network VGG-16, pre-trained on the large-scale ImageNet dataset, was employed to effectively implement transfer learning. The processes of data preprocessing and the architecture of the applied neural network are described. The results of training and validation demonstrate high classification accuracy of meat samples by the criterion “fresh/spoiled.” The potential of the proposed approach for automating quality control in the meat industry and reducing the influence of subjective factors is emphasized.

Keywords: computer vision, deep learning, convolutional neural network, transfer learning, meat quality assessment, process automation, image classification, automated quality control

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

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