TEMPO-RHYTHMIC ABILITIES OF THE GYMNASTS AS A FACTOR DETERMINING THE DIFFICULTY OF COMPOSITE SOLUTION OF COMPETITIVE ROUTINE IN GROUP ROUTINES DEPENDING ON THE CHOICE OF MUSICAL ACCOMPANIMENT

Starting from 2018 the judges began to evaluate the level of difficulty of the compositions with an open scale according to the rules of the competition. The article is devoted to the evaluation of the compositional difficulty of competitive compositions of group routines in rhythmic gymnastics. One of the factors that determines both the difficulty of the composition and the synchronization of motor interaction execution by sportswomen in group routines is defined. The purpose of this research is to justify the necessity of taking into account tempo-rhythmic abilities of gymnasts that predetermine difficulty of compositional decision of competitive program in group routines. The objective of this study is to reveal the correlational interconnections between tempo-rhythmic abilities and expert evaluations of synchronicity of group motor activity. The methods that were applied in are an expert evaluation that assesses the synchronization of motor actions of gymnasts in group routines and testing that consists of listening to and playing of parts of pieces of music of different rhythmic patterns. The revealed correlational interconnections allow increasing the synchronicity of motor actions of gymnasts in group routines that will make competitive programs more qualitative and spectacular

The use of artificial intelligence to diagnose the disease

This article explores the use of artificial intelligence in the medical field for diagnosing a disease, namely the identification of factors that affect the presence of a brain tumor. Modern medical technologies are developing rapidly, and artificial intelligence is becoming an increasingly important tool to help doctors in accurate and timely diagnosis of various diseases. The article focuses on the application of learning methods such as decision trees, Kohonen maps and neural networks. The development and application of artificial intelligence in medicine provides a huge potential for improving the diagnosis of diseases and increasing the effectiveness of treatment, which contributes to improving the quality of life of patients. However, do not consider the need for ongoing scientific support, testing and regulation to ensure the safety and reliability of the application of artificial intelligence in medicine

Skin Antiageing and Systemic Redox Effects of Supplementation with Marine Collagen Peptides and Plant-Derived Antioxidants: A Single-Blind Case-Control Clinical Study

Recently, development and research of nutraceuticals based on marine collagen peptides (MCPs) have been growing due to their high homology with human collagens, safety, bioavailability through gut, and numerous bioactivities. The major concern regarding safety of MCPs intake relates to increased risk of oxidative stress connected with collagen synthesis (likewise in fibrosis) and to ROS production by MCPs-stimulated phagocytes. In this clinical-laboratory study, fish skin MCPs combined with plant-derived skin-targeting antioxidants (AO) (coenzyme Q10 + grape-skin extract + luteolin + selenium) were administered to volunteers (n=41). Skin properties (moisture, elasticity, sebum production, and biological age) and ultrasonic markers (epidermal/dermal thickness and acoustic density) were measured thrice (2 months before treatment and before and after cessation of 2-month oral intake). The supplementation remarkably improved skin elasticity, sebum production, and dermal ultrasonic markers. Metabolic data showed significant increase of plasma hydroxyproline and ATP storage in erythrocytes. Redox parameters, GSH/coenzyme Q10 content, and GPx/GST activities were unchanged, while NO and MDA were moderately increased within, however, normal range of values. Conclusions. A combination of MCPs with skin-targeting AOs could be effective and safe supplement to improve skin properties without risk of oxidative damage

Microsatellite DNA-markers in the study of the gene pool of fruit crops

This article describes development of multilocus SSR-markers sets for genotyping Pyrus, Prunus, and Malus from various genetic collections of the South of Russia. Generated multiplex sets of SSR-markers were used in the certification of cultivated varieties and in the analysis of the genetic structure of Pyrus, Prunus and Malus species collections. The results of SSR genotyping of pear, apple, plum and sweet cherry made it possible to establish genetic relationships between varieties, including groups of modern varieties of Russian and foreign breeding and, in turn, local autochthonous varieties. In general, the use of these multiplexes has confirmed their effectiveness in solving the assigned tasks

The using of gene-oriented SCoT markers in genotyping of the Apple genus (

This paper discusses the aspects of optimization of the SCoT genotyping method for representatives of the genus Apple (Malus Mill.), including the orchard apple (Malus domestica). Special attention is paid to the methods of total DNA isolation from apple plant tissue, which is due to the sensitivity of multilocus marker systems to the quality of the nucleic acid preparation. On a sample of total DNA isolated from the leaves of the Golden Delicious cultivar, 18 SCoT markers were tested, from which 4 Malus Mill cultivars and species most promising for genotyping were selected

PCR-RFLP ITS-based analysis of wine yeast autochthonous strains isolated from different grape cultivars in Taman subregion

The studies present the results of morphological, cultural and genetic analysis of the ITS1-ITS4 region of the autochthonous yeast strains genome by using the HaeIII restriction enzyme. On the red and white grapes varieties, based on the morphology of the cells, autochthonous strains belonging to the genus Saccharomyces prevail – 83.3%, what is confirmed by genetic analysis of rDNA ITS region. Restriction analysis showed that all strains of the genus Saccharomyces belong to the species Saccharomyces cerevisiae / S. paradoxus. The percentage of Saccharomyces isolated on the Pervenets Magaracha variety is 86.7%, Krasnostop Anapsky - 80%. The non-Saccharomyces yeast had a product size of 750 bp, presumably of the species Hanseniaspora uvarum

The use of artificial intelligence to diagnose the disease

This article explores the use of artificial intelligence in the medical field for diagnosing a disease, namely the identification of factors that affect the presence of a brain tumor. Modern medical technologies are developing rapidly, and artificial intelligence is becoming an increasingly important tool to help doctors in accurate and timely diagnosis of various diseases. The article focuses on the application of learning methods such as decision trees, Kohonen maps and neural networks. The development and application of artificial intelligence in medicine provides a huge potential for improving the diagnosis of diseases and increasing the effectiveness of treatment, which contributes to improving the quality of life of patients. However, do not consider the need for ongoing scientific support, testing and regulation to ensure the safety and reliability of the application of artificial intelligence in medicine

Micropropagation of Hardy Hibiscus (Hibiscus Moscheutos L.)

Hardy hibiscus (Hibiscus x moscheutos L.) is gaining popularity as a landscape plant and the accelerated increase in the volume of planting material is of particular relevance. The work investigated the effect of the concentration of 6-BAP (0.5, 1.0, 1.5 mg / L) on the shoot formation of hibiscus of the following varieties: cv. Cranberry Crush, Fantasia, Fireball, Jazzberry Jam. It was revealed that the concentration of 6-BAP 0.5 mg / L is optimal for the proliferation of microshoots of Hibiscus x moscheutos L. With the increase in the concentration of 6-BAP, the number of formed microshoots decreases