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Objective: to determine the content of hormones, as well as some macro- and microelements in athletes-wrestlers outside the period of competition and active training.Materials and methods: the study involved 66 athletes-wrestlers and 107 students involved in sports professionally. The level of hormones and vitamin D was determined by the ELISA method. To analyze the content of macro- and microelements, the subjects were cut off a lock of hair from the back of the head in an amount of at least 0.1 g. The studies were carried out on an ICP-MS Agilent 7900 mass spectrometer.Results: levels of cortisol, TSH and T4 are higher, and levels of testosterone, T3 and vitamin D are lower in athletes compared to the control group. An increase in the content of sodium, calcium, potassium, magnesium, cobalt and a decrease in iodine were revealed in fighters from those who were not involved in sports professionally.Conclusion: the data obtained indicate an imbalance in the work of the body’s endocrine systems and impaired adaptation to stress. It is known that the determination of the hormonal status is used to assess the adaptation, the revealed changes in the indicators of vitamin D, macro- and microelements, allow the study of these indicators in order to prevent the syndrome of overtraining of athletes, to maintain and improve sports performance.

Using the envelope-function approximation, the single-particle states of electrons and holes in spherical GaN nanocrystals embedded in different amorphous dielectric matrices (SiO2, Al2O3, HfO2 and Si3N4) have been calculated. Ground state energies of electrons and holes in GaN nanocrystals are determined using the isotropic approximation of the k ⋅ p -Hamiltonian. All the ground state energies are found to increase with lowering the nanocrystal size and are proportional to the R−n, where R is the nanocrystal radius, n =1.5-1.9 for electrons and 1.7-2.0 for holes. The optical gap of GaN nanocrystals changes from 3.8 to 5 eV for the nanocrystal radius ranging from 3 to 1 nm.

The purpose of the research. The implementation of end-to-end digital technologies into the economic activities of enterprises radically changes the organization of production and business processes within the framework of more efficient business models. As a result, new application scenarios are formed that determine the changing structure of production and business processes and the emergence of new roles of participants in the value chain. From this point of view, the article aims to develop and substantiate methods for constructing production and business processes for various types of business models based on modern digital technologies.Research methods. The paper discusses the principles and uses methods for identifying, classifying and constructing production and business processes for various application scenarios of digitalization of manufacturing enterprises. The methods of identification and classification of production and business processes are based on the definition of the stages of the product life cycle and the provision of services considered in the Reference Architectural Model Industrie 4.0 (RAMI). The proposed methods of constructing production and business processes are based on the use of digital platforms, digital twins (software administrative shells), methods of collecting and processing big data. For the selected types of production and business processes, an approach is proposed to describe the features of their implementation from the perspective of various application scenarios of digitalization. When constructing the structure of production and business processes, role models of interaction of participants in value chains are used.Results. This paper presents the classification of production and business processes in accordance with the Reference Architectural Model Industrie 4.0 (RAMI), which highlights the innovative processes of product creation and service provision, production and supply chain processes, as well as asset management processes of enterprises. The analysis of various application scenarios for the selected classes of production and business processes was carried out, which made it possible to link these scenarios with the most common types of business models of digital enterprises. The role model of interaction of participants in the value chain has been clarified for the most common application scenario associated with the use of value-based services (VBS), which allows the accumulation and processing of generated digital data on the performance of physical assets at the operational, tactical and strategic management levels.Conclusion. The developed methods of identification, classification and construction of production and business processes based on a scenario approach to the use of digital technologies and role modeling in the processes of interaction of participants in the value chain are aimed at improving the efficiency of creating and using business models of enterprises digital transformation.

An original approach has been presented to model the regularities and parameters of resistive switching based on the kinetic Monte Carlo (kMС) 3D simulation of stochastic migration of oxygen vacancies/ions in metal-oxide memristive devices promising for applications in emerging nonvolatile memory, in-memory and neuromorphic computing systems. The efficiency and flexibility of the approach is demonstrated by the examples of experimentally realized Au/oxide/TiN memristive device structures, in which yttria-stabilized zirconia (ZrO2(Y)) polycrystalline films and amorphous SiOx columnar films obtained by magnetron sputtering are used as the switching oxide material. The proposed approach combines the universal kMС framework for ion migration and relatively simple physics-based methods for taking into account additional factors related to the structure and morphology of specific oxide material, interface phenomena and energetics of electronic processes, and therefore does not require time-consuming calculations and is not critical to the computing power. [ABSTRACT FROM AUTHOR]