The aim of this work is to determine attitudes if trainers about possibilities and efficiency of application of functional training in high sports and recreation. In order to obtain relevant information about the importance of functional training in top sport and recreation, the survey was conducted on a sample consisting of 25 coaches of different age groups, gender, branch of sport and sports experience. The survey results showed that functional training is one of the most popular systems of training in top sport and recreation and that coaches use in their practical work. According to the respondents coach for functional training is important to point out that it is based on exercises that include our whole body and thereby leads to the activation of more muscle groups at the time of its execution. It affects the development of motor skills such as strength, power, coordination, balance, flexibility, speed, muscular endurance. Trainers also claim that functional training effects the development of energy systems (phosphate, glycolytic and aerobic), and reduction of body fat (subcutaneous and visceral), toning and increasing muscle mass, subjective sense of power and regulating stress levels.

Research was conducted on a sample of 121 respondents in total-sportsmen aged 14-16 years old from five different sports (skiing, boxing, swimming, volleyball and basketball), trough a questionnaire containing 19 representative indicators – qualities that the coach should possess. Examined are the attitudes of young and promising sportsmen of the desirable characteristics of a good coach. It’s about the selected young and promising sportsmen, whose quality is determined on the basis of achieved results at official championships in of Republic of Srpska, Bosnia and Herzegovina and international competitions. The survey questionnaire was administered in which any claim has 5 replies as follows: always, often, sometimes, rarely did I ever. It’s about five-point Liker scale. The survey contains questions related to gender, length of training period and type of sport. In order to determine the latent structure of the appropriateness of indicators was used factor analysis with Varimax rotation in solution. Given results of the factor analysis with Varimax rotation in solutions showed stable set of four isolated latent dimensions that can be described as: (1) technical quality of the trainers (2) the general human traits coaches (3) external characteristics of trainers and (4) the ratio of coaches to the sportsmen. The results point to the fact that the qualities that a coach has to exhibit the work of young and promising sportsmen in training and competition is of great importance for the formation of the whole personality and versatile young sportsmen in his sport promotion.

In Equal Recognition, Alan Patten argues that in a proper relationship between normative political theory and democratic politics, we must make a clear distinction between two questions related to cultural rights: (a) authority (who should decide?) and (b) the substance of deliberation. The question he wants to explore, however, is not the authority question but the substantive question. The aim of this article is to show that an account of equal recognition cannot bracket out the democratic element. It argues, first, that Equal Recognition does not live up to its initial promise, as it contains a number of reflections and recommendations (on language rights, on secession, on the rights of migrants’ cultures) that either explicitly or implicitly include the democratic element. Second, it points at other important areas of political decision-making – such as electoral system design, districting, referendums, quotas – in which it is quite clear that in order to extend equal recognition to minority cultures, we are obliged to take decisions related to the design of democratic institutions.

The control of recently observed spintronic effects in topological-insulator/ferromagnetic-metal (TI/FM) heterostructures is thwarted by the lack of understanding of band structure and spin textures around their interfaces. Here we combine density functional theory with Green's function techniques to obtain the spectral function at any plane passing through atoms of Bi2Se3 and Co or Cu layers comprising the interface. Instead of naively assumed Dirac cone gapped by the proximity exchange field spectral function, we find that the Rashba ferromagnetic model describes the spectral function on the surface of Bi2Se3 in contact with Co near the Fermi level EF0, where circular and snowflake-like constant energy contours coexist around which spin locks to momentum. The remnant of the Dirac cone is hybridized with evanescent wave functions from metallic layers and pushed, due to charge transfer from Co or Cu layers, a few tenths of an electron-volt below EF0 for both Bi2Se3/Co and Bi2Se3/Cu interfaces while hosting distorted helical spin texture wounding around a single circle. These features explain recent observation of sensitivity of spin-to-charge conversion signal at TI/Cu interface to tuning of EF0. Crucially for spin-orbit torque in TI/FM heterostructures, few monolayers of Co adjacent to Bi2Se3 host spectral functions very different from the bulk metal, as well as in-plane spin textures (despite Co magnetization being out-of-plane) due to proximity spin-orbit coupling in Co induced by Bi2Se3. We predict that out-of-plane tunneling anisotropic magnetoresistance in Cu/Bi2Se3/Co vertical heterostructure can serve as a sensitive probe of the type of spin texture residing at EF0.

The control of recently observed spintronic effects at topological-insulator/ferromagnetic-metal (TI/FM) interfaces is thwarted by the lack of understanding of their band structure and spin texture. Here we combine density functional theory with Green's function techniques to obtain the spectral function at any plane passing through atoms of Bi$_2$Se$_3$ and Co or Cu layers comprising the interface. In contrast to naively expected Dirac cone gapped by the proximity exchange field, we find that the Rashba ferromagnetic model describes (for some range of momenta) the spectral function on the surface of Bi$_2$Se$_3$ in contact with Co near the Fermi energy $E_F^0$, where circular and snowflake-like constant energy contours coexist around which spin locks to momentum. Interestingly, similar in-plane spin textures are also injected into first three monolayers of Co adjacent to Bi$_2$Se$_3$ due to spin-orbit proximity effect. The remnant of the Dirac cone is hybridized with evanescent wave functions injected by metallic layers and pushed, due to charge transfer from Co or Cu layers, few tenths of eV below $E_F^0$ for both Bi$_2$Se$_3$/Co and Bi$_2$Se$_3$/Cu interfaces while hosting distorted helical spin texture wounding around a single circle. These features can explain recent observation [K. Kondou et al., Nat. Phys. 12, 1027 (2016)] of extreme sensitivity of spin-to-charge conversion signal at TI/Cu interface to tuning of $E_F^0$. We predict that tunneling anisotropic magnetoresistance in vertical heterostructure like Cu/Bi$_2$Se$_3$/Co, where current flowing perpendicular to its interfaces is modulated by rotating magnetization from out-of-plane to in-plane direction, can be employed to probe the type of spin texture residing at $E_F^0$ via purely charge transport measurement.

ABSTRACT The thermal power plant systems are one of the most complex dynamical systems which must function properly all the time with least amount of costs. More sophisticated monitoring systems with early detection of failures and abnormal behaviour of the power plants are required. The detection of anomalies in historical data using machine learning techniques can lead to system health monitoring. The goal of the research is to build a neural network-based data-driven model that will be used for anomaly detection in selected sections of thermal power plant. Selected sections are Steam Superheaters and Steam Drum. Inputs for neural networks are some of the most important process variables of these sections. All of the inputs are observable from installed monitoring system of thermal power plant, and their anomaly/normal behaviour is recognized by operator's experiences. The results of applying three different types of neural networks (MLP, recurrent and probabilistic) to solve the problem of anomaly detection confirm that neural network-based data-driven modelling has potential to be integrated in real-time health monitoring system of thermal power plant.