Omsk State Technical University

A general approach was developed to the synthesis of 3-amino-4-arylquinolin-2(1H)-ones and 3-amino-4-arylquinoline-2(1H)-thiones, based on simple and readily available reagents, with good overall yields of up to 76%. A broad variety of aryl and heteroaryl substituents introduced at the C-4 position of the quinoline system was achieved. The route can also be used for the synthesis of 4-alkyl derivatives, as shown in the example of 4-methylquinolines. Solutions of some synthesized compounds emit in the blue-violet region of the visible spectrum with fluorescence quantum yields of up to 0.33 upon UV irradiation.

This article is devoted to an empirical study of metacognitive decision-making strategies and their relationship with students’ academic performance. The aim of the study is to monitor the impact of metacognitive strategies in subject-specific mathematics training on increasing students’ metacognitive engagement in educational activities. To achieve this goal, an intervention program based on metacognitive strategies was developed for first-year students studying linear algebra and analytic geometry. Two approaches were used: strategy training and a supportive social environment. Students from Saratov National Research State University and Omsk State Technical University participated in the experiment. Statistical processing of the obtained data was performed using the Python programming language. Descriptive statistics were used, and sample comparisons were carried out using the Mann-Whitney U-test. The empirical results showed that the integration of metacognitive strategies transforms the study of linear algebra and analytic geometry from passive information acquisition into an active, conscious dialogue with one’s own thinking. This isn’t simply developing the ability to “solve more problems,” but to connect new knowledge with existing ones and “solve problems with constant self-reflection.” The experiment proved quite successful in expanding knowledge about cognition, which includes three distinct but interrelated characteristics of knowledge (declarative, procedural, and conditional knowledge). Furthermore, it was found that the developed metacognitive skills help students with low abilities compensate for their deficiencies in solving mathematical problems, develop emotional intelligence, and a desire for personal growth.

The purpose of this study is to develop a client-server application for identifying and prompt reacting to the attacks of the «man-in-the-middle» type. This application is intended for fine tuning the security policies for different network nodes. The method for this study is the development of a network utility program by means of object-oriented programming in C#, with the implementation of the software functionality at the level of classes and methods. A method for developing the functionality is proposed at the most abstract level – contracts or interfaces – with a description of the methods signature, which the class should implement. As a result of this study, a utility program has been developed, which acts as a Windows system service and analyzes the continuous data of a network node. This study describes the client application of this utility program. The utility program collects such parameters as DHCP server address; DNS server addresses; gateway address; IP address of the active computer; the name of the active computer; ARP table and the routing table. These network parameters are transmitted for further analysis and response to information security incidents. The practical value of this study is the development of the client application of this utility program. The implementation of a Windows system service in C#, which transmits data that helps revealing the attacks, which in turn helps identifying and analyzing the status of all network nodes (for example, computers of the same organization) as to detect a «man-in-themiddle » attack, such as: MAC spoofing; ARP Spoofing; Evil Twin; DHCP Spoofing; ICMP Redirect; DNS Spoofing; configuration of hacked router. The result of running the application could be observed in the Windows logs through Event Viewer application.

The distinctive feature of Industry 4.0 is digital transformation of all sectors of the economy, accompanied by an exponential growth in the volume of data. Among these data, spatial data (geodata) makes up a significant share. Artificial Intelligence (AI) is becoming a key factor in the implementation of advanced technologies and digital tools in the field of geoinformatics, using machine learning algorithms (ML). This creates a pressing need for training students to use AI in this field, both from the modern labor market and in the context of engineering education. The article examines the features of training future technical engineers whose professional functions involve managing geodata using AI. It is revealed the technological potential of AI for effective geodata management and examines the significance and prospects of using AI in geoinformatics. The methodical recommendations are offered for integrating AI into basic educational programs of future engineers. It is developed the content of disciplines aimed at mastering AI and ML, taking into account the features of geodata and spatial analysis. This will ensure high-quality training of future engineering and technical personnel for the use of AI to solve problems of analyzing and processing geodata in their professional activities.

A 1-phenoxy-3H-naphtho[1,2,3-de]quinoline-2,7-dione derivative exhibits photochromic properties, forming a colored product with bright orange fluorescence. The latter is a naphtho[1,2,3-de]quinolin-3-ium-1-olate derivative, formed via arylotropy. The structure requirements and side photoreactions of this novel photoswitching system are discussed.

The article addresses methods for detecting information leaks and anomalies in network traffic based on the analysis of NetFlow protocol data using the BERT model. A methodology for preprocessing and vectorizing network flows employing modern transformer-based approaches tailored for cybersecurity tasks is proposed. An experimental evaluation of the model’s effectiveness on real and synthetic datasets is conducted. The results demonstrate improved anomaly detection accuracy and enhanced adaptability of the model to changing network activity conditions. This work aims to expand the capabilities of monitoring and protecting information systems in the face of increasing cyber threats.

Gas analysis is one of the key methods for assessing the quality of atmospheric air in populated areas, as well as in the work area of production facilities. Atmospheric air monitoring is especially necessary at facilities that have a significant negative impact on the environment, in parti­cular, at ferrous metallurgy enterprises. The peculiarities of the gas analyzers used for air quality monitoring system are their sensitivity and selectivity. To achieve these indicators, a properly selected sensing element is needed: a gas analyzer converter. Synthesized solid solutions of semiconductor binary components, which proved themselves to be good adsorbents, are proposed as materials for the manufacture of converters. In this paper, the authors examined semiconductor systems consisting of ZnTe and CdSe, conditions for synthesis of the solid solutions based on them, and methods for their identification, which allowed the obtained materials to be certified as solid substitution solutions with cubic spha­lerite and hexagonal wurtzite structures (depending on the composition). X-ray, micro-, electron-microscopic, and IR spectroscopic studies of solid solutions made it possible to understand the surface structure of adsorbents. Results of the studies of the surface chemical composition, acid-base properties of solid solutions and binary components of the system allow us to conclude that the Lewis and Brønsted acid centers responsible for CO adsorption on the surface are present on the surface. In the ZnTe – CdSe systems, there is a tendency to move from a slightly acidic region to a relative increase in the surface basicity with an increase in ZnTe content. When materials are placed in a CO atmosphere, gas adsorption on the surface of solid solutions occurs in the same dependence, which was confirmed by the direct catalytic studies. The established patterns of changes with the composition of bulk and surface properties allow us to recommend new obtained materials as primary converters of sensors.

The study objective is to determine the rational turning modes of TN1 alloy according to the lowest friction coefficient in the cutting area. The tasks to which the paper is devoted are: to draw up an experiment plan for turning the workpiece under various cutting modes; to measure the chip thickness using Compass-3D graphic editor for each cutting mode; to calculate the values of the chip shrink factor for each of the cutting modes; to calculate the values of friction coefficient between the chip and the cutting tool; to find the dependence of friction coefficient from cutting modes; to determine the turning mode in which friction coefficient has the lowest value. To achieve this goal, experimental studies are conducted to determine the values of chip shrinkage under various cutting modes. According to the found values of the shrink factor, the friction coefficients in the cutting area between the chips and the front surface of the cutter are calculated. As a result of the research, empirical dependences are found that make it possible to calculate the value of the friction coefficient between the front surface of the cutter and the chips when turning TN1 alloy with an error of less than 1.4%. The rational modes corresponding to the lowest friction coefficient in the cutting area are experimentally determined.