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## Information telecommunications of Pushchino radio astronomy observatory, Astro space center of Lebedev physical institute

The structure and features of functioning of buffer data center of Pushino Research Center RAS are discussed. Data center is used for the store and the transmission large amounts of scientific data over a long distance.

The paper investigates the process of evolutionary transformation of cooperation and integration modes of industrial and construction enterprises in St.-Petersburg. The study has been performed at the period since 1998 to nowadays. The network form of integration was chosen as the main objet of this research. The paper is aimed at identifying the path of knowledge management development in different types of networks.

One of the peculiarities of the network form of integration is the high level of independence of the network participants that interact with each other. Key issues in this cooperation would be the following:

How to organize an effective transfer of knowledge and technologies within a network?

How to find a balance between open systems of innovation and the protection of the intellectual property of network participants?

How to evaluate the intellectual capital of a network? Is it necessary to make an assessment for each participant separately? Should one take into account synergies that increase the value of the intellectual capital because of the network participants’ interaction and knowledge sharing?

How to increase competitiveness of each company and of the whole network by the effective use of the intellectual capital?

How to measure the impact of open innovations on the intellectual capital of the companies interacting within a network?

Thus, it is important to reveal how knowledge management system is developing within a network of inter-related enterprises.

On the base of interviews of top-managers of companies in industrial and construction companies there were identified five different types of networks and knowledge management systems within these types. It is demonstrated how the knowledge management model is growing and becoming mature from the amorphous type of network cooperation to the integrated type. Factors, influencing this evolutionary development, have been revealed. Also, the paper proposes an approach to the evaluation of knowledge management systems based upon the value-based management indicators.

We analyze the convergence of opinions or beliefs in a general social network with non-Bayesian agents. We provide a new sufficient condition under which opinions converge to consensus and the condition is significantly more permissive than that of Lorenz (2005). This condition, which depends on properties of the network, requires agents to incorporate others’ opinions into their own posterior sufficiently often.

The concepts of social networks, social capital and trust play an increasingly central role in the social sciences. They have become indispensable conceptual tools for the analysis of post-industrial/late-modern societies, which are characterized by such features as the relative decline of formal hierarchies, the development of flexible social arrangements in the sphere of production and the extreme mobility of capital. This is the first book to study the interrelationships between these important concepts both theoretically and empirically. Drawing on empirical investigations from a range of diverse European social contexts, the contributors develop an economic sociology that builds on and extends established theoretical perspectives. The book opens with an introduction to the theoretical ideas: relating social capital to reciprocity, trust and social networks in line with current debates. The authors go on to discuss the concept of social embededdness, addressing the economic effects of social capital by examining the network and trust foundations of labour markets and investigating the structural limits of trusting networks. They conclude with an exploration of the impact of networking and the functioning of trust and social capital on the economic arrangements and performance of nascent capitalist economies in post-Communist Europe. This thematically unified collection by a team of distinguished contributors from across Europe provides an innovative and distinctive contribution to an expanding area of research.

The cooperative dynamics of cellular populations emerging from the underlying interactions determines cellular functions and thereby their identity in tissues. Global deviations from this dynamics, on the other hand, reflect pathological conditions. However, how these conditions are stabilized from dysregulation on the level of the single entities is still unclear. Here, we tackle this question using the generic Hodgkin–Huxley type of models that describe physiological bursting dynamics of pancreatic -cells and introduce channel dysfunction to mimic pathological silent dynamics. The probability for pathological behavior in -cell populations is ~100% when all cells have these defects, despite the negligible size of the silent state basin of attraction for single cells. In stark contrast, in a more realistic scenario for a mixed population, stabilization of the pathological state depends on the size of the subpopulation which acquired the defects. However, the probability to exhibit stable pathological dynamics in this case is less than 10%. These results, therefore, suggest that the physiological bursting dynamics of a population of -cells is cooperatively maintained, even under intercellular communication defects induced by dysfunctional channels of single cells.

The paper addresses the relationship between different local network mechanisms and different global network structures, described by blockmodels. The research question is narrowed to the context of preschool children networks. Based on the studies regarding friendship, liking and interactional networks among preschool children, the popularity, transitivity, mutuality and assortativity mechanisms are assumed to be important for the evolution of such networks. It is assumed that the global network structure is defined by an asymmetric core-cohesive blockmodel consisting of one core group of units and two or more cohesive groups of units. Therefore, the main research question is whether the emergence of an asymmetric core-cohesive blockmodel can be a result of the influence of the listed mechanisms. Different initial global network structures are considered. Monte Carlo simulations were used. The relative fit measure is proposed and used to compare different blockmodel types on generated networks. The results show that the listed mechanisms indeed lead to the assumed global network structure.

The 2nd International Science and Technology Conference «Modern Network Technologies, MoNeTec - 2018» gathers representatives of the international scientific community, research departments of corporations, start-ups, representatives of industry and business, development institutions, and public authorities to discuss promising and relevant technologies in the field of computer networks, virtualization of network resources, and cloud computing. SDN (Software-Defined Networking) and NFV (Network Function Virtualization) are key technologies used to build modern computer networks and information infrastructures in general. Now, these technologies are used in practice in the World, including Russia. Nevertheless, many problems for research, development and practical application still remain.

DepCos-RELCOMEX is an annual series of conferences organized by the Institute of Computer Engineering, Control and Robotics (CECR), Wroclaw University of Technology, since 2006.

Contemporary technical systems are integrated unities of technical, information, organization, software and human resources. Diversity of the processes being realized in the system, their concurrency and their reliance on in-system intelligence significantly impedes construction of strict mathematical models and calls for application of intelligent and soft computing methods.

The submissions included in this volume illustrate variety of problems that need to be explored in the dependability analysis: methodologies and practical tools for modelling, design and simulation of the systems, security and confidentiality in information processing, specific issues of heterogeneous, today often wireless, computer networks, or management of transportation networks.

*The purpose of the paper is to discuss problems and prospects of tourism clusters development in Russia. The Russian tourism market has huge potential, due to its history, culture, extremely diverse landscapes, rivers, lakes, mountains, flora and fauna, “hidden gems” of small towns with their ancient churches, original local museums and unique sights. In the last decade Russia has witnessed rapid quantitative growth as well as significant changes in strategic development of the tourism industry. Russian Government initiated a number of Federal target programs important for tourism and hotel industry development. In particular, tourism clusters are now in the focus of interest. In 2008, the Russian Government adopted the Concept of cluster policy in the Russian Federation, laying the cluster approach in the basis of the strategy of socio-economic development and considering it as a tool to raise competitiveness of industries and territories. However, the formation of clusters in Russia faces a number of problems due to the peculiarities of the Russian institutional environment. The main challenges facing tourism clusters development in Russia are described. The importance of development joint marketing strategy is underlined. The case of** "Big Volga" tourism cluster in the Nizhny Novgorod region is presented. *

A model for organizing cargo transportation between two node stations connected by a railway line which contains a certain number of intermediate stations is considered. The movement of cargo is in one direction. Such a situation may occur, for example, if one of the node stations is located in a region which produce raw material for manufacturing industry located in another region, and there is another node station. The organization of freight traﬃc is performed by means of a number of technologies. These technologies determine the rules for taking on cargo at the initial node station, the rules of interaction between neighboring stations, as well as the rule of distribution of cargo to the ﬁnal node stations. The process of cargo transportation is followed by the set rule of control. For such a model, one must determine possible modes of cargo transportation and describe their properties. This model is described by a ﬁnite-dimensional system of diﬀerential equations with nonlocal linear restrictions. The class of the solution satisfying nonlocal linear restrictions is extremely narrow. It results in the need for the “correct” extension of solutions of a system of diﬀerential equations to a class of quasi-solutions having the distinctive feature of gaps in a countable number of points. It was possible numerically using the Runge–Kutta method of the fourth order to build these quasi-solutions and determine their rate of growth. Let us note that in the technical plan the main complexity consisted in obtaining quasi-solutions satisfying the nonlocal linear restrictions. Furthermore, we investigated the dependence of quasi-solutions and, in particular, sizes of gaps (jumps) of solutions on a number of parameters of the model characterizing a rule of control, technologies for transportation of cargo and intensity of giving of cargo on a node station.

Event logs collected by modern information and technical systems usually contain enough data for automated process models discovery. A variety of algorithms was developed for process models discovery, conformance checking, log to model alignment, comparison of process models, etc., nevertheless a quick analysis of ad-hoc selected parts of a journal still have not get a full-fledged implementation. This paper describes an ROLAP-based method of multidimensional event logs storage for process mining. The result of the analysis of the journal is visualized as directed graph representing the union of all possible event sequences, ranked by their occurrence probability. Our implementation allows the analyst to discover process models for sublogs defined by ad-hoc selection of criteria and value of occurrence probability

The dynamics of a two-component Davydov-Scott (DS) soliton with a small mismatch of the initial location or velocity of the high-frequency (HF) component was investigated within the framework of the Zakharov-type system of two coupled equations for the HF and low-frequency (LF) fields. In this system, the HF field is described by the linear Schrödinger equation with the potential generated by the LF component varying in time and space. The LF component in this system is described by the Korteweg-de Vries equation with a term of quadratic influence of the HF field on the LF field. The frequency of the DS soliton`s component oscillation was found analytically using the balance equation. The perturbed DS soliton was shown to be stable. The analytical results were confirmed by numerical simulations.

The Handbook of CO₂ in Power Systems' objective is to include the state-of-the-art developments that occurred in power systems taking CO₂ emission into account. The book includes power systems operation modeling with CO₂ emissions considerations, CO₂ market mechanism modeling, CO₂ regulation policy modeling, carbon price forecasting, and carbon capture modeling. For each of the subjects, at least one article authored by a world specialist on the specific domain is included.

Let G be a semisimple algebraic group whose decomposition into the product of simple components does not contain simple groups of type A, and P⊆G be a parabolic subgroup. Extending the results of Popov [7], we enumerate all triples (G, P, n) such that (a) there exists an open G-orbit on the multiple flag variety G/P × G/P × . . . × G/P (n factors), (b) the number of G-orbits on the multiple flag variety is finite.

I give the explicit formula for the (set-theoretical) system of Resultants of m+1 homogeneous polynomials in n+1 variables