Touring activities of Ukrderzhtsirk as a domain’s “health” indicator

The purpose of the article is to identify and analyze the effectiveness of the Ukrainian state circus arts system’s touring activities from the early 1990s. Methodology. The study analyses archival information on the Ukrderzhtsirk’s work. The historical-factographic method helps to record the results of the circus touring activities development. Comparative analysis allows detecting the specifics of the phenomenon, revealing its organizational and creative trends, and evaluating them. Scientific novelty. For the first time, the main trends of the Ukrainian state circus touring activities held since the early 1990s were revealed and characterized. Conclusions. The touring activities’ effectiveness is characterized by declining trends – something that corresponds to the general dynamics of the “post-Soiuzgostsirk” organizational and creative process. Probably one of the decline factors was that of the head organization’s inability to provide the circus system with a properly centralized management. Ukrderzhtsirk has some achievements, in particular, its own brand-name founding, business contacts establishing, organizing of abroad tours for Ukrainian programs. However, the state circus product’s export faces its decline, while the sector of import is not prospective as a foreign product is too expensive. Obviously the current organizational and creative approaches to foreign economic activities performing are in need to be revised. Keywords: Ukrainian circus arts, Soviet circus, touring, Ukrderzhtsirk, Soiuzgostsirk, circus arts enterprise, circus arts product.

Assessing Economic Security of the Russian Federation in Technological Field

The article studies elements of technological sphere, such as science, technology and innovation. Appraisal of economic security of Russia was conducted by using methodology of utmost crucial indicators. The most important indicators and their crucial values based on the principle ‘resources – results’ were selected, which gave an opportunity to estimate the efficiency of resource investment and their use. The author substantiated the threshold values for each indicator The method of utmost crucial values together with zoning by the degree of risk can allow us to identify the possibility of threat arising and understand their degree for spheres being investigated. During the analysis the standing of values in accordance with zone distribution was estimated and general trends were found out. On the basis of estimation the general dynamics of indicators was plotted in the form of indexes of economic security and on their foundation the integral appraisal of the condition of economic security in technological field was built. In conclusion the author stated the overall level of technological sphere and described threats to economic security of Russia.

Dynamical symmetry breaking through AI: The dimer self-trapping transition

The nonlinear dimer obtained through the nonlinear Schrödinger equation has been a workhorse for the discovery the role nonlinearity plays in strongly interacting systems. While the analysis of the stationary states demonstrates the onset of a symmetry broken state for some degree of nonlinearity, the full dynamics maps the system into an effective [Formula: see text] model. In this later context, the self-trapping transition is an initial condition-dependent transfer of a classical particle over a barrier set by the nonlinear term. This transition that has been investigated analytically and mathematically is expressed through the hyperbolic limit of Jacobian elliptic functions. The aim of this work is to recapture this transition through the use of methods of Artificial Intelligence (AI). Specifically, we used a physics motivated machine learning model that is shown to be able to capture the original dynamic self-trapping transition and its dependence on initial conditions. Exploitation of this result in the case of the nondegenerate nonlinear dimer gives additional information on the more general dynamics and helps delineate linear from nonlinear localization. This work shows how AI methods may be embedded in physics and provide useful tools for discovery.

Suit of Nikita Koshkin "Toys of the Prince" in the context of the dynamics of renewal of guitar art of the XX century

Purpose of the article is to study the nature of the embodiment of the peculiarities of the creative method of M. Koshkin in the «Prince's Toys» suite. Methodology. To solve the set tasks, genre-style analysis and executive analysis were used. Scientific novelty: this work is an illumination of the results of one's own experience in interpreting M. Koshkin's suite «The Prince's Toys» based on a combination of performing and research activities. Nikita Koshkin's guitar music is viewed in conjunction with the general dynamics of the 20th century's art renewal. Conclusions. When creating music for the guitar, the composer skillfully used the potential of this instrument. The work on the composition took into account the historical possibilities of the guitar in the performance of classical music, including the entire experience of the existence of a six-string guitar. The language of Koshkin's works always comes from the specifics of the guitar. The composer-guitarist uses all the resources of the instrument in order to create the effect of its versatility, to demonstrate the boundlessness of its possibilities.

Self-adjusting model predictive control for modular subsystems in HVAC systems

In order to reduce the energy consumption and CO2 emissions in the building sector, an efficient control strategy, such as model predictive control (MPC) is required. However, MPC is rarely applied in buildings since the implementation and modeling is complex, time consuming and costly. To bring MPC into practice, controllers and models are needed, that automatically adapt their behavior to the controlled system. In this work, such a self-adjusting MPC applicable to heating, ventilation and air-conditioning (HVAC) systems is developed. The MPC is based on a simple grey-box model that is able to cover the general dynamics of the considered subsystem. The controller adapts the model parameters online according to the past measurements of the controlled system using a moving horizon estimation. The developed self-adjusting MPC is applied to three heating coils in a simulation. Compared with a PID controller, the self-adjusting MPC is able to increase the control quality up to 10%, while no manual tuning is needed. Additionally, the model predictive approach is able to reduce the power consumption of the pump by 80%.

Feed direction dependent milling dynamics of an asymmetric flexible machining system

Asymmetric flexible machining system has been widely used in NC machining. In traditional milling dynamics model, the cutter feed direction is usually defined as parallel to its vibration DOF, while the nonparallel condition and its induced milling dynamics response are not deeply considered. This paper presents a general dynamics modeling method for asymmetric flexible machining systems. Firstly, to the best of the author's knowledge, a new dimension named feed direction is proposed, which is used to establish the generalized coupling relationship between the vibration displacement and the regenerative milling force, thus improve the applicability of the milling dynamics model and reduce the experimental workload compared with the traditional modeling. Secondly, through the theoretical and experimental research, it is shown that the asymmetric flexible machining system has a significant feed direction dependent characteristics, and implied the existence of high performance machining region with higher stability and low SLE by contrast with the symmetrical milling system and the traditional model. Finally, by controlling the feed direction angle, the milling parameters in roughing and finishing operation are optimized, and the machining efficiency has been greatly improved on the premise of stable cutting and machining accuracy at last.