Radical changes in education occurred in 2020 during the pandemic. The need to fully switch to a distance-learning mode required rethinking the approaches to the organization of the learning process. Despite the fact that Russian universities were already using digital learning tools quite extensively at the beginning of the pandemic—those were seen as auxiliary, supporting tools. Within a short period, online learning made it necessary to design educational programs from a digital-technologies viewpoint, as traditional teaching methods had lost some of their functionality in the distance-learning mode. First of all, the changes affected the disciplines focused on the formation of soft skills, such as communication skills, group interaction, and managing people. Another problem of digitalization of all aspects of our lives is the huge amount of readily available information. In this regard, developing the students’ systemic thinking and augmenting their ability to find and properly use information became an important alternative to acquisition of factual knowledge. This article summarizes the experience of the educational process at one of the leading Russian universities, National University of Science and Technology (NUST) “MISIS” during the COVID-19 pandemic based on the analysis of the degree of application of digital tools in online and hybrid learning. In this article, we present the description of methodology approaches to the use of digital tools for soft skill development, using the example of teaching specific disciplines “Systems Thinking and Theory of Constraints” and “Life Cycle of Corporations and Change Management” in the master’s program in Corporate Finance taught at NUST “MISIS”.

The study is devoted to X-ray fluorescence spectroscopy (XRF) features of micro- and nanosized powder mixtures of copper and nickel. XRF is a high accuracy method that allows for both qualitative and quantitative analysis. However, the XRF measurement error due to the size of the studied particles is not usually taken into account, which limits the use of the method in some cases, such as analysis of Ni-Cu mixtures and coatings. In this paper, a method for obtaining copper and nickel nanoparticles was investigated, and the XRF of powder compositions was considered in detail. The initial micro- and nanoparticles of copper and nickel were studied in detail using SEM, TEM, XRD, and EDX. Based on experimental data, calibration curves for copper-nickel powder compositions of various sizes were developed. According to the results, it was experimentally established that the calibration curves constructed for nanoscale and microscale powders differ significantly. The presented approach can be expanded for other metals and particle sizes.

In this study, we analyzed the main tendencies of the digitization of the tax and customs administration in Russia and worldwide. The main focus of this study is on the determination of the role of customs payments in the enhancement of the budget efficiency of the Russian Federation. For this purpose, we carried out an analysis of the collectability of the customs payments over 18 years according to their different types. Our research showed that further development of the use of digital technologies in customs payments administration will be carried out in the informational exchange systems between the tax and customs authorities. We conducted an expert evaluation of the predictive model parameters to define the basic technological points of the project for the modernization of the digital information exchange system between the customs and tax authorities. The use of the suggested management decisions makes it possible to form a balanced view of the key values to perfect the customs payments collection system in the context of the future development of the digital economy and the improvement of budget efficiency.

The economy is in a state of transformation into a new system, and it is quite realistic that economic entities will be under the influence of certain risky moments. The process of risk analysis and management should be considered by an enterprise as an integral part of enterprise management in extreme conditions of the economic development trajectory and be a guarantor of financial insurance. The goal of this study is the formation of a process approach in enterprise management—the creation of a universal risk management system based on the proposed risk management model to minimize the financial risks of an enterprise. We propose a risk management system that influences the forecasting of financial stability of an enterprise. To form the risk management system, we propose a model of an organisational system, the structural elements of which correspond to the principles of completeness, information capacity and consistency. We identified the diversity of direct and inverse relationships between factorial and productive characteristics, which indicates the complexity of the organisational system management process. The presence of “bottlenecks” in the implementation of expert systems tools was also noted. This was expressed in the difficulty of acquiring the knowledge necessary for the development of meaningful systems and structuring the knowledge gained in a form that is convenient for use. We used the method of qualitative modelling using the apparatus of weighted directed graphs. The study allowed us to formulate a list of factors that characterize the main activities of an enterprise in order to form a mathematical model of enterprise risk management. The developed predictive model is used to simulate extreme events and risks in the process of enterprise development, as one of the foundations of the enterprise management system in the conditions of economic transformation.

In this study, the mechanism of nickel nanoparticle formation from its hydroxide was analyzed. Metallic nickel nanoparticles were obtained through the hydroxide’s reduction under hydrogen. Nickel hydroxides were produced from nickel (II) nitrate hexahydrate and NaOH by deposition under various initial conditions. The influence of washing treatment on the dispersion of obtained nickel powders was studied. The washing procedure of precipitates was carried out by centrifugation, ultrasonic treatment, and decantation. X-ray diffractometry, transmission electron microscopy, low-temperature nitrogen adsorption, infrared spectroscopy, Raman spectroscopy, and X-ray photoelectron spectroscopy methods were used for nanoparticle characterization. Based on the resulting data, a model of the Ni(OH)₂ aggregate structure after deposition was proposed. The number of nickel hydroxide particles required to form one nickel nanoparticle was estimated, and a model of its formation was proposed.