Created-by-current states in long Josephson junctions

Critical curves "critical current - external magnetic field" of long Josephson junctions with inhomogeneity and variable width are studied. We demonstrate the existence of the regions of magnetic field where some fluxon states are stable only, if the external current through the junction is different from zero. Position and size of such regions depend on length of the junction, its geometry, parameters of inhomogeneity and form of the junction. The noncentral (left and right) pure fluxon states are appeared in the inhomogeneous Josephson junction with increase in the junction length. We demonstrate new bifurcation points with change in width of the inhomogeneity and amplitude of the Josephson current through the inhomogeneity.Comment: 7 pages, 8 figure

The role of retraining technologies of personnel in ensuring financial stability of transport and industrial companies

The industry-based companies with state participation operating in the Russian Federation are significant producers of economic growth and core economic entities identifying the Russian labor market growth. In terms of risky business environment, the mechanism for implementing personnel development strategy at transport and industrial companies with state participation in the capital assets, which are based on an innovative personnel training and retraining system, determines the vector of ensuring their financial stability. Considering the latter, the risk management of transport and industrial companies’ personnel development is directly related to the strategy for the intangible assets formation. It also ensures institutionalization of promising systems of human capital management.peer-reviewe

The External Economic Factor in the Development of Northwestern Regions: Institutional Support and an Impact Assessment

This research is warranted, since the Northwestern Federal District accounts for a significant proportion of Russia’s exports. The study aims to reveal the connection between the federal district’s external and internal economic development and to identify the extent to which institutional support for international economic cooperation facilitates brisk international trade. The authors consider international trade from the perspective of its procedural and institutional components. The study stresses dependence between the total international trade and internal economic performance of Russia’s North-West. Another focus is an analysis of institutional support for the development factors and the levels and areas of international economic cooperation. The analysis shows that the Northwestern regions’ external and internal economic development is interdependent and there is considerable support for international cooperation at different levels and in different areas. To a degree, this is explained by the federal district’s geographical position and transport connections, the ‘Nordic’ character of the economy shared by the Russian and neighbouring territories, and the multi-tier nature of the institutional framework for international economic cooperation in the international region

An efficient strategy for the collection and storage of large volumes of data for computation

In recent years, there has been an increasing amount of data being produced and stored, which is known as Big Data. The social networks, internet of things, scientific experiments and commercial services play a significant role in generating a vast amount of data. Three main factors are important in Big Data; Volume, Velocity and Variety. One needs to consider all three factors when designing a platform to support Big Data. The Large Hadron Collider (LHC) particle accelerator at CERN consists of a number of data-intensive experiments, which are estimated to produce a volume of about 30 PB of data, annually. The velocity of these data that are propagated will be extremely fast. Traditional methods of collecting, storing and analysing data have become insufficient in managing the rapidly growing volume of data. Therefore, it is essential to have an efficient strategy to capture these data as they are produced. In this paper, a number of models are explored to understand what should be the best approach for collecting and storing Big Data for analytics. An evaluation of the performance of full execution cycles of these approaches on the monitoring of the Worldwide LHC Computing Grid (WLCG) infrastructure for collecting, storing and analysing data is presented. Moreover, the models discussed are applied to a community driven software solution, Apache Flume, to show how they can be integrated, seamlessly