The paper presents the results of using digital technologies to predict oil pollution and assess the environmental consequences of accidents at water facilities. The relevance of the work is due to the need to create a mathematical description to assess the parameters of the area of the possible position of petroleum products and to consider among the processes occurring with oil pollution trapped in a body of water, separately identified processes of underwater movement. The aim of the work is to develop a mathematical model of the ascent of petroleum products to a free surface using the example of diesel fuel to assess the negative impact using modern digital technologies. For this purpose, a calculated area with boundary conditions and a grid of the zero-grinding level has been selected. The created model is the basis of the methodology, which is presented in the form of interacting blocks that make up the general description of the forecasting algorithm.

Students and teachers spend a significant part of their time indoors, so the problem of ensuring a comfortable microclimate is becoming especially relevant. One of the factors affecting human well-being and performance is air quality, in particular, its ionic composition. Aeroionization is the process of saturation of air with negatively or positively charged ions, which affect the physiological state of a person. In enclosed spaces, the concentration of aeroions is often insufficient, which can lead to deterioration in well-being, decreased concentration and increased fatigue. The article discusses the mechanism of aeroionization, including the physical and chemical processes underlying the formation of aeroions. In addition, devices that allow you to assess the level of air ionization in a room are considered. The study included measurements of the level of aeroions in various classrooms. The results showed that in most cases the concentration of air ions in closed spaces is significantly lower than the optimal level required to maintain a comfortable microclimate. Based on the data obtained, the authors of the article offer recommendations for improving the ionic composition of air in classrooms. In particular, it is recommended to use ionizers in combination with ventilation and air conditioning systems. The importance of regular monitoring of the level of air ions using specialized devices is also emphasized, which will allow timely detection and elimination of problems associated with insufficient air ionization.

The paper is devoted to the peculiarities of the higher education development in Russia. In the XIX century, many discoveries were made in world science and technology. Many of them were made by Russian scientists. Unfortunately, few of those scientists received higher education in the Russian Empire. The development of higher education in the XIX century was greatly influenced by the political and economic processes that took place in the country. The university administration faced a number of problems. Poor scientific foundation, insufficient financial support, a small number of students, and a shortage of qualified teaching staff were among them. The inconsistent university policy of the tsarist government hindered the development of higher education. The charters adopted throughout the XIX century reflect the policies of the emperors. Under Emperor Alexander I, new universities were opened. They received autonomy in many matters. Under Nicholas I, state control over all aspects of society including education was strengthened. In 1863, the Charter on Higher Education Institutions was adopted which would become the most democratic of all existing charters. However, after the assassination of Emperor Alexander II in 1884 a new university charter was reintroduced. The autonomy was abolished, and censorship was tightened.

This article explores the phenomenon of internet memes as a form of intercultural communication. It analyzes the mechanisms of meme creation, distribution, and interpretation across different cultural contexts. Particular attention is given to cross-cultural differences in the perception of humor, irony, and symbolism, which can influence the understanding and effectiveness of memes as a means of communication. The potential of memes to bridge cultural divides and create shared cultural spaces is also examined, along with the risks associated with the misinterpretation and misuse of memes in intercultural contexts. The study delves into the mechanisms of meme adaptation and transformation as they transition between different cultural environments. Special emphasis is placed on the role of memes in shaping the global information space. Internet memes are viral content that spreads online, whether in the form of images, videos, text, or even concepts. They evolve, mutate, and adapt, reflecting current events, social trends, and cultural nuances. Meme analysis allows us to gain a deeper understanding of the collective consciousness of online communities and how culture is shaped and transmitted in the digital age.

The opportunities for teaching Russian to foreign students are expanding thanks to the online format. The methodology of Russian as a foreign language at the current stage actively uses online learning, but the costs of contactless mastering of the program should be taken into account. The article presents a public discussion, launched on the pages of the state press of China regarding distance learning, which reflects different points of view. 
 
From the press materials it follows that along with the great advantages of online learning, its significant shortcomings are revealed, requiring serious revision on the scale of the state educational policy of the PRC. The article examines the experience of working with film version materials in Russian as a foreign language class in China during the quarantine period.

Cyberattacks are becoming increasingly complex and sophisticated, which requires the development of new methods for analyzing and predicting threats. Traditional methods such as signature analysis and statistical models are often ineffective against advanced threats. Recurrent neural networks (RNN) represent a promising tool for this task due to their ability to process time-series data and identify complex patterns. Today's information systems face an ever-increasing number of cyber threats. These threats range from simple phishing attacks to sophisticated campaigns carried out by organized criminal groups. Securing information resources requires the development of effective methods to analyze and anticipate potential threats. Current approaches include the use of machine learning and artificial intelligence (AI). In order to use AI as part of information security challenges, particularly cybersecurity, it is necessary to understand which algorithm is best suited for analyzing, predicting and detecting cyber threats in modern and complex information systems. This paper discusses the potential applications of RNN for analyzing and predicting cyber threats and provides examples of successful implementations of these models in the cybersecurity domain. A database consisting of 40000 cyberattacks was used to train the model. The purpose of this paper is to investigate the potential applications of recurrent neural networks in the context of analyzing and predicting information security threats. The scientific novelty of this article lies in the comparison of the results of different neural networks. Research methods: system analysis of existing machine learning methods, theoretical formalization, experimentation.

The paper presents the results of the use of digital technologies to assess the environmental consequences of tanker flooding in the Baltic Sea, accompanied by an oil spill. The relevance of the work is due to the high risk of occurrence and consequences of oil and petroleum product spills. The aim of the work is to predict pollution of the coastline as the most vulnerable component of the natural environment. For this purpose, a reproduction of the field of currents, weather conditions and modeling of a sunken tanker in the form of a point source of pollution was performed. The paper estimates the extent of damage to the coastline.