This paper presents an analysis of modern methods used to determine antioxidant activity. According to research by the World Health Organization, the deficiency of such important nutrients as antioxidants leads to a decrease in body resistance and the development of chronic diseases. When it comes to diet, the inclusion of foods with a high content of antioxidants helps to increase life expectancy. As a result of this research, the mass concentration of phenolic substances and the antioxidant activity of phenolic antioxidants in young white and red table wine materials were determined using amperometric and chemiluminescent methods in order to determine antioxidant activity. Regression equations reflecting the relationship between the indicator of antioxidant activity and the value of the mass concentration of phenolic substances in young table wine materials were derived. The conversion coefficient for determining the mass concentration of phenolic substances when using Trolox-C and gallic acid as standards was established, which was—3.75. Based on a multiple linear regression model, the total antioxidant activity of the samples (F₉.₅ = 19.10 and p = 0.0023) can be fairly accurately predicted with an R² of 0.921 for the calibration data set. A neural network regression model (NNRM) was chosen for the machine-learning regression analysis of the antioxidant activity of the wine samples due to its effectiveness in predicting outcomes in various applications. The implementation was performed using the fitrnet function provided in the Statistics and Machine Learning Toolbox in MATLAB R2021b. The MSE of the calibration model was 0.056; however, the MSE for the three validation samples was much higher, at 0.272.

The article describes implementation of a strategy of visualization and interactive support for university level educational digitalization. Namely, within the e-learning environment for English learners, a model of visualization and interactive support of the educational process is developed. The structure of this model includes two modules: external web services and interactive activities of LMS Moodle. We consider such web services that provide visualization of the educational process such as: Biteable.com, Canva.com, Mindomo.com, and WordArt.com. We also consider web services that are used for interactive support of the learning process, such as Learningapps.org and Exelearning.net. The module of interactive activities of the LMS Moodle is used to conduct knowledge testing (ex.: task, lecture, survey, test, H5P, Scorm package) and to enable communication between students (ex.: forum, glossary, chat, messaging, webinar, seminar). The suggested model is tested using e-courses developed at Sevastopol State University (SevSU) in LMS Moodle.

A Three-Dimensional Matrix Model for Determining the Optimal Strategic Choice for a Company

A rapid improvement of intellectual systems capable of performing creative functions, which was in the past viewed as a unique human ability, has been a breakthrough in the technology progress of recent years. As access to it became available for a wide range of people, the popularity of artificial intelligence (AI) in various spheres of human activities has rocketed. This phenomenon, however, is fraught with negative consequences — the use of AI systems for criminal purposes. The authors describe the character of such threats, and review the results of their analysis by foreign researchers, as this problem emerged abroad somewhat earlier than in our country. The application of international experience of counteracting the criminal use of artificial intelligence while taking into consideration national specifics is also useful from the standpoint of predicting further dynamics of the situation and reducing its negative consequences. The authors discuss such problems associated with the use of AI systems as the violation of copyright in generating images, the creation speech and video deepfakes for distance fraud and extortion, the dissemination of pornography, and discrediting people. The growing public danger of harassment and humiliation in AI-assisted cyberbullying is stressed. The case when a West European person committed suicide after communication with a chat bot of an AI system is highlighted, together with the fact that the bots’ creators were not prosecuted. Discussions on determining the subject of crimes in cases of accidents involving UAVs are studied, dangerous trends in the use of AI products in the military sphere are identified, and the necessity of prohibiting “autonomous weapons” at the international level is stressed. The authors analyze first attempts at the legal regulation of the use of AI products and propose the following measures of preventing, neutralizing and reducing the risks of AI systems’ malicious use: user verification, labeling of AI-created products, testing new systems for possible criminal use, quick reaction to criminal incidents by working out recommendations for their prevention, improvement of the systems to identify a covert use of AI, legislative changes that take into account new facts of publicly dangerous actions, limitation of the use of AI instruments in specific spheres (military, jurisprudence, expert work) and determination of the possibilities to use them for completing creative qualifying work, competition tasks, dissertations.

This research involves modeling and simulating a business process of strategic management of a food company in order to achieve a region's sustainable development. This business process is seen as an optimal format of strategic management. The Modeling and simulation conducted in this research is implemented in the Adonis: CE software.