The author considered the current state development of genealogy, and defined the opportunities of this scientific discipline.

The author analyzed the possibilities of the online search system helper.archonline.by, which helps to find out or specify the information necessary for genealogical search in Belarusian archives.

The article considers the history of the Sapeha family of the coat of arms Fox belonging to the Chereya-Ruzhany lineage, and analyzed the fate of Evstafy Sapeha in this context.

Using the example of the Stulginsky family dynasty, the author showed the influence of a social group of engineering workers on new forms of science, technology, and economics interaction.

The article presents a brief historiographical overview of genealogical studies of the gentry of the Grand Duchy of Lithuania, carried out in domestic and foreign historical science in the 1990–2020s.

The author presented the studies of the Koidanov necropolis, analyzed the initial results of the work for the purpose of further full-scale prosopographic research.

The authors gave the results of the genetic genealogy being a new branch that arose at the junction of population genetics, history and ethnography, which allows making assumptions about the degree of kinship and origin of a person.

The article deals with the problems of applying innovations in the industry of the country. Attention is focused on the relationship between the innovative activity of enterprises and the process of forming the structure of the country's industrial complex. It is substantiated that an attempt to bring the structure of the Belarusian industry to the structure of countries with liberal economies is practically possible with sufficient funding, but is not advisable due to the influence of market trends and changes in the market situation. The article discusses the approach of changing the structure of industry under the influence of innovation. The article discusses the approach of changing the structure of industry under the influence of innovation. At the same time, emphasis is placed on the need to achieve program parameters for the development of the innovation sphere. The article substantiates the need to determine the parameters for the development of the innovative industry based on the situation of manufacturing enterprises of the Republic of Belarus. At the same time, it is indicated that the application of approaches to the development of the innovative sector of the industry of the republic with the setting of the level of development of the innovative sector of other countries as a target is ineffective, and in some cases unattainable even in the long term.

The authors presented the research results on the assessment of the metrological characteristics and the internal standard modified method for the quantitative determination of volatile components and methyl alcohol in alcoholic and alcohol-containing produce effectiveness.

The article presents the results of using the author's software solution based on genetic algorithms, intended for diagnosing the physical condition of an athlete and selecting an individual training regimen.

The article considers the scientific potential and educational technologies concentration platform for the innovations and solutions introducing in the field of chemical safety.

The author presents the BNTU development on automatic tuning and updating the CNC machines and tools which allows to increase the accuracy of processing and improve performance.

A comparative analysis of existing definitions of digital transformation of higher education is proposed, the result of the author's research and a conclusion about the content of this concept are given. The directions of digital changes observed in the educational sector and their orientation within the framework of the designated topic are identified. The least and most common trajectories of digitalization of education are highlighted.

In the study, the identification of alleles of gliadin-coding loci and the certification of synthetic wheat genotypes were carried out, the method of electrophoretic analysis of gliadin storage proteins used in the study was described, and the presence of a positive and negative linear correlation between grain quality indicators was established using the SPSS statistical computer program. A cluster analysis was carried out with the division of samples into 8 groups, for each of them the indices of genetic diversity of (H-) gliadin-coding loci were calculated.

The progressive development of medical bioinformatics, namely computer vision and deep learning technologies, will allow accurate screening of neurooncological diseases and evaluate the effectiveness of the treatment methods performed in dynamics at all levels of healthcare institutions. At present, the Matlab platform is the most functional environment for image processing with the implemented possibility of using semantic segmentation. An algorithm for creating masks of the area of interest of specialists and a listing for training a neural network in the diagnostic screening of neurooncological patients are presented.