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    <title>ЭБ Коллекция: NPCS Vol.18, no.1, pp. 1-104 (2015)</title>
    <link>https://elib.bsu.by:443/handle/123456789/141844</link>
    <description>NPCS Vol.18, no.1, pp. 1-104 (2015)</description>
    <pubDate>Mon, 20 Apr 2026 12:20:25 GMT</pubDate>
    <dc:date>2026-04-20T12:20:25Z</dc:date>
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      <title>Correlation Features of Microquasar X-Ray Activity</title>
      <link>https://elib.bsu.by:443/handle/123456789/142102</link>
      <description>Заглавие документа: Correlation Features of Microquasar X-Ray Activity
Авторы: Demin, S. A.; Panischev, O. Yu.; Nefedyev, Yu. A.
Аннотация: This paper discusses a new approach for researching correlation characteristics of microquasar X-ray activity based on statistical physics including Fourier analysis, correlation analysis, elements of fractal analysis and regression modelling. Using this method, we show that analyzing the total ﬂux X-ray activity of microquasars registered by the ASM review camera (All-Sky Monitor) of the RXTE orbital observatory (Rossi X-ray Timing Explorer) allows us not only to study some accretion mechanisms in binary systems but also to classify them according to the strength of the statistical memory eﬀects. To discover the properties of X-ray activity, we analyze the power spectra of memory functions, derived from the memory functions formalism, using data from microquasar GRS 1915+105 as an example. Our ﬁndings allow us to determine three classes of X-ray binary systems depending on the ratio between the time relaxation scales and the statistical memory existence.</description>
      <pubDate>Thu, 01 Jan 2015 00:00:00 GMT</pubDate>
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      <dc:date>2015-01-01T00:00:00Z</dc:date>
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    <item>
      <title>Qualiﬁcation Routes Messaging for Dynamic Systems Using Logical-Probabilistic Method</title>
      <link>https://elib.bsu.by:443/handle/123456789/142091</link>
      <description>Заглавие документа: Qualiﬁcation Routes Messaging for Dynamic Systems Using Logical-Probabilistic Method
Авторы: Glazunov, V. V.; Kurochkin, M. A.; Popov, S. G.
Аннотация: The problem of message routes evaluation in a dynamic network of mobile subscribers is investigated. The network of mobile objects is represented by a graph with varying in time structure. The searching of the optimal route at any given time has polynomial complexity. As a solution, logical–probabilistic method to build the estimates of routes has been proposed. This method allows to obtain an analytical expression of the message delivery probability function for s–connected graph with a given dimension. In this case, the time of searching the optimal route can be considered as a constant.</description>
      <pubDate>Thu, 01 Jan 2015 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://elib.bsu.by:443/handle/123456789/142091</guid>
      <dc:date>2015-01-01T00:00:00Z</dc:date>
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      <title>Symmetry of Model N = 3 for Graphene with Charged Pseudo-Excitons</title>
      <link>https://elib.bsu.by:443/handle/123456789/142054</link>
      <description>Заглавие документа: Symmetry of Model N = 3 for Graphene with Charged Pseudo-Excitons
Авторы: Grushevskaya, Halina V.; Krylov, George; Gaisyonok, V. A.; Serow, D. V.
Аннотация: A model N = 3 of graphene charge carriers has been proposed. Within the model the pseudo-helicity is determined by the exchange interaction for pz -electrons. The symmetry properties of the model have been examined. It has been shown that the pseudo-helicity conservation law allows to explain experimental data on "moire" pattern and long spin relaxation time in graphene.</description>
      <pubDate>Thu, 01 Jan 2015 00:00:00 GMT</pubDate>
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      <dc:date>2015-01-01T00:00:00Z</dc:date>
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      <title>A Study of Complex Shapes Using Information Geometry</title>
      <link>https://elib.bsu.by:443/handle/123456789/142053</link>
      <description>Заглавие документа: A Study of Complex Shapes Using Information Geometry
Авторы: De Sanctis, Angela; Antonio Gattone, Stefano
Аннотация: In this paper, a new statistical method is proposed to model patterns emerging in complex systems. It uses several tools of Information Geometry to describe the evolution of various shapes that arise due to internal forces of the system. A framework for shape analysis of 2− dimensional landmark data is introduced in which each landmark is represented by a bivariate Gaussian distribution, reﬂecting the uncertainty in the landmark’s placement or the natural variability across a population of shapes. The Fisher–Rao metric is considered as a natural measure of the distance between two distributions. It endows the statistical manifold of parameters with a Riemannian metric, thus allowing the interpolation between observed shapes by computing the geodesics between the corresponding densities. Furthermore, the geodesic path connecting two shapes can be used for shape predictions. We also apply the method to study the evolution of the rat skull shape.</description>
      <pubDate>Thu, 01 Jan 2015 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://elib.bsu.by:443/handle/123456789/142053</guid>
      <dc:date>2015-01-01T00:00:00Z</dc:date>
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