121 research outputs found

    THE RECURRENT ALGORITHM FOR INTERFEROMETRIC SIGNALS PROCESSING BASED ON MULTI-CLOUD PREDICTION MODEL

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    The paper deals with modification of the recurrent processing algorithm for discrete sequence of interferometric signal samples. The algorithm is based on subsequent reference signal prediction at specifying a set (β€œcloud”) of values for signal parameters vector by Monte Carlo method, comparison with the measured signal value and usage of the residual for enhancing the values of signal parameters at each discretization step. The concept of multi-cloud prediction model is used in the proposed modified algorithm. A set of normally distributed clouds is created with expectation values selected on the base of criterion of minimum residual between prediction and observation values. Experimental testing of the proposed method applied to estimation of fringe initial phase in the phase shifting interferometry has been conducted. The estimate variance of the signal reconstructed according to estimated initial phase from initial signal does not exceed 2% of the maximum signal value. It has been shown that the proposed algorithm application makes it possible to avoid the 2Ο€-ambiguity and ensure sustainable recovery of interference fringes phase of a complicated type without involving a priori information about interference fringe phase distribution. The usage of the proposed algorithm applied to estimation of interferometric signals parameters gives the possibility for improving the filter stability with respect to influence of random noise and decreasing requirements for accuracy of a priori filtration parameters setting as compared with conventional (single-cloud) implementation of the sequential Monte Carlo method

    STATISTICAL CHARACTERISTICS INVESTIGATION OF PREDICTION ERRORS FOR INTERFEROMETRIC SIGNAL IN THE ALGORITHM OF NONLINEAR KALMAN FILTERING

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    Basic peculiarities of nonlinear Kalman filtering algorithm applied to processing of interferometric signals are considered. Analytical estimates determining statistical characteristics of signal values prediction errors were obtained and analysis of errors histograms taking into account variations of different parameters of interferometric signal was carried out. Modeling of the signal prediction procedure with known fixed parameters and variable parameters of signal in the algorithm of nonlinear Kalman filtering was performed. Numerical estimates of prediction errors for interferometric signal values were obtained by formation and analysis of the errors histograms under the influence of additive noise and random variations of amplitude and frequency of interferometric signal. Nonlinear Kalman filter is shown to provide processing of signals with randomly variable parameters, however, it does not take into account directly the linearization error of harmonic function representing interferometric signal that is a filtering error source. The main drawback of the linear prediction consists in non-Gaussian statistics of prediction errors including cases of random deviations of signal amplitude and/or frequency. When implementing stochastic filtering of interferometric signals, it is reasonable to use prediction procedures based on local statistics of a signal and its parameters taken into account

    Fractional Systems and Fractional Bogoliubov Hierarchy Equations

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    We consider the fractional generalizations of the phase volume, volume element and Poisson brackets. These generalizations lead us to the fractional analog of the phase space. We consider systems on this fractional phase space and fractional analogs of the Hamilton equations. The fractional generalization of the average value is suggested. The fractional analogs of the Bogoliubov hierarchy equations are derived from the fractional Liouville equation. We define the fractional reduced distribution functions. The fractional analog of the Vlasov equation and the Debye radius are considered.Comment: 12 page

    Fractional Liouville and BBGKI Equations

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    We consider the fractional generalizations of Liouville equation. The normalization condition, phase volume, and average values are generalized for fractional case.The interpretation of fractional analog of phase space as a space with fractal dimension and as a space with fractional measure are discussed. The fractional analogs of the Hamiltonian systems are considered as a special class of non-Hamiltonian systems. The fractional generalization of the reduced distribution functions are suggested. The fractional analogs of the BBGKI equations are derived from the fractional Liouville equation.Comment: 20 page

    ANTIBODIES TO BENZO[A]PYRENE IN SERUM OF PATIENTS WITH NON-SMALL CELL LUNG CANCER

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    The features of immune response to chemical carcinogen benzo[a]pyrene (Bp) at the patients with non-small cell lung cancer (NSCLC) are investigated. The isotypical distinctions in formation of antibodies (Ab) to Bp at the men with NSCLC in comparison with healthy are revealed. There were more often observed the high levels of IgG Ab-Bp at the men with NSCLC. Thus risk of occurrence NSCLC grows almost in 2 times at high levels of Ab-Bp of a class G

    The Large Enriched Germanium Experiment for Neutrinoless Double Beta Decay (LEGEND)

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    The observation of neutrinoless double-beta decay (0Ξ½Ξ²Ξ²{\nu}{\beta}{\beta}) would show that lepton number is violated, reveal that neutrinos are Majorana particles, and provide information on neutrino mass. A discovery-capable experiment covering the inverted ordering region, with effective Majorana neutrino masses of 15 - 50 meV, will require a tonne-scale experiment with excellent energy resolution and extremely low backgrounds, at the level of ∼\sim0.1 count /(FWHMβ‹…\cdottβ‹…\cdotyr) in the region of the signal. The current generation 76^{76}Ge experiments GERDA and the MAJORANA DEMONSTRATOR utilizing high purity Germanium detectors with an intrinsic energy resolution of 0.12%, have achieved the lowest backgrounds by over an order of magnitude in the 0Ξ½Ξ²Ξ²{\nu}{\beta}{\beta} signal region of all 0Ξ½Ξ²Ξ²{\nu}{\beta}{\beta} experiments. Building on this success, the LEGEND collaboration has been formed to pursue a tonne-scale 76^{76}Ge experiment. The collaboration aims to develop a phased 0Ξ½Ξ²Ξ²{\nu}{\beta}{\beta} experimental program with discovery potential at a half-life approaching or at 102810^{28} years, using existing resources as appropriate to expedite physics results.Comment: Proceedings of the MEDEX'17 meeting (Prague, May 29 - June 2, 2017

    Inhibition of microbial film at the surface of the structural material nanostructuring

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    The research objective was to find effective option of inhibition of formation of a microbic film on constructional material from dioxide of the titan. Control and experimental groups were made by samples of dioxide of the titan (n=6) and samples of dioxide of the titan with the nanostructured surface (n=6). The control group was processed a rich nutrient mediurruof LB. Added to experimental group S.epidermidis 33 in the environment of LB. After 48 hours of an incubation the planktonic culture was deleted and carried out coloring for biomass definition (0,1% solution gentsianviolet) and amounts of living cells (water-soluble tetrazoliya) in a biofilm. All experiments are made three times and have taken place statistical processing. On control samples the nanostructured covering of dioxide of the titan doesn't exert impact on binding of dye in the environment of LB, but almost three times authentically reduces amount of Staphylococcus epidermidis 33 living cells on experimental samples. The superficial nanostructured covering of dioxide of the titan authentically reduces process of formation of biofilms by 2,5 times and leads to more than triple reliable decrease in biomass of films of Staphylococcus epidermidis 33 at cultivation within 48 hours. These facts have practical value for use of the obtained data of experiment in clinical stomatology as a way of inhibition of formation of bacterial films on surfaces of the offered constructional materials from dioxide of the titan with the nanomodified surface treatment.ЦСлью исслСдования Π±Ρ‹Π»ΠΎ Π½Π°ΠΉΡ‚ΠΈ эффСктивный Π²Π°Ρ€ΠΈΠ°Π½Ρ‚ ингибирования образования ΠΌΠΈΠΊΡ€ΠΎΠ±Π½ΠΎΠΉ ΠΏΠ»Π΅Π½ΠΊΠΈ Π½Π° конструкционном ΠΌΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»Π΅ ΠΈΠ· диоксида Ρ‚ΠΈΡ‚Π°Π½! ΠšΠΎΠ½Ρ‚Ρ€ΠΎΠ»ΡŒΠ½ΡƒΡŽ ΠΈ ΡΠΊΡΠΏΠ΅Ρ€ΠΈΠΌΠ΅Π½Ρ‚Π°Π»ΡŒΠ½ΡƒΡŽ Π³Ρ€ΡƒΠΏΠΏΡ‹ составили ΠΎΠ±Ρ€Π°Π·Ρ†Ρ‹ ΠΈΠ· диоксида Ρ‚ΠΈΡ‚Π°Π½Π° (n=6) ΠΈ ΠΎΠ±Ρ€Π°Π·Ρ†Ρ‹ диоксида Ρ‚ΠΈΡ‚Π°Π½Π° с наноструктурированной ΠΏΠΎΠ²Π΅Ρ€Ρ…Π½ΠΎΡΡ‚ΡŒΡŽ (n=6). ΠšΠΎΠ½Ρ‚Ρ€ΠΎΠ»ΡŒΠ½ΡƒΡŽ Π³Ρ€ΡƒΠΏΠΏΡƒ ΠΎΠ±Ρ€Π°Π±Π°Ρ‚Ρ‹Π²Π°Π»ΠΈ Π±ΠΎΠ³Π°Ρ‚ΠΎΠΉ ΠΏΠΈΡ‚Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎΠΉ срСдой J_B. Π’ ΡΠΊΡΠΏΠ΅Ρ€ΠΈΠΌΠ΅Π½Ρ‚Π°Π»ΡŒΠ½ΡƒΡŽ Π³Ρ€ΡƒΠΏΠΏΡƒ добавляли ΠΈΠ½ΠΎΠΊΡƒΠ»ΡƒΠΌ S.epidermidis 33 Π² срСдС LB. ПослС 48 час. ΠΈΠ½ΠΊΡƒΠ±Π°Ρ†ΠΈΠΈ ΠΏΠ»Π°Π½ΠΊΡ‚ΠΎΠ½Π½ΡƒΡŽ ΠΊΡƒΠ»ΡŒΡ‚ΡƒΡ€Ρƒ удаляли ΠΈ ΠΏΡ€ΠΎΠ²ΠΎΠ΄ΠΈΠ»ΠΈ ΠΎΠΊΡ€Π°ΡˆΠΈΠ²Π°Π½ΠΈΠ΅ для опрСдСлСния биомассы (0,1 %-Π½Ρ‹ΠΉ раствор Π³Π΅Π½Ρ†ΠΈΠ°Π½Π²ΠΈΠΎΠ»Π΅Ρ‚) ΠΈ количСства ΠΆΠΈΠ²Ρ‹Ρ… ΠΊΠ»Π΅Ρ‚ΠΎΠΊ (водорастворимый Ρ‚Π΅Ρ‚Ρ€Π°Π·ΠΎΠ»ΠΈΠΉ) Π² Π±ΠΈΠΎΠΏΠ»Π΅Π½ΠΊΠ΅. ВсС экспСримСнты ΠΏΡ€ΠΎΠ²Π΅Π΄Π΅Π½Ρ‹ Ρ‚Ρ€ΠΎΠ΅ΠΊΡ€Π°Ρ‚Π½ΠΎ ΠΈ ΠΏΡ€ΠΎΡˆΠ»ΠΈ ΡΡ‚Π°Ρ‚ΠΈΡΡ‚ΠΈΡ‡Π΅ΡΠΊΡƒΡŽ ΠΎΠ±Ρ€Π°Π±ΠΎΡ‚ΠΊΡƒ. На ΠΊΠΎΠ½Ρ‚Ρ€ΠΎΠ»ΡŒΠ½Ρ‹Ρ… ΠΎΠ±Ρ€Π°Π·Ρ†Π°Ρ… наноструктурированноС ΠΏΠΎΠΊΡ€Ρ‹Ρ‚ΠΈΠ΅ диоксида Ρ‚ΠΈΡ‚Π°Π½Π° Π½Π΅ ΠΎΠΊΠ°Π·Ρ‹Π²Π°Π΅Ρ‚ влияния Π½Π° связываниС краситСля Π² срСдС LB, Π½ΠΎ практичСски Π² Ρ‚Ρ€ΠΈ Ρ€Π°Π·Π° достовСрно сниТаСт количСство ΠΆΠΈΠ²Ρ‹Ρ… ΠΊΠ»Π΅Ρ‚ΠΎΠΊ Staphylococcus epideimidis 33 Π½Π° ΡΠΊΡΠΏΠ΅Ρ€ΠΈΠΌΠ΅Π½Ρ‚Π°Π»ΡŒΠ½Ρ‹Ρ… ΠΎΠ±Ρ€Π°Π·Ρ†Π°Ρ…. ΠŸΠΎΠ²Π΅Ρ€Ρ…Π½ΠΎΡΡ‚Π½ΠΎΠ΅ наноструктурированноС ΠΏΠΎΠΊΡ€Ρ‹Ρ‚ΠΈΠ΅ диоксида Ρ‚ΠΈΡ‚Π°Π½Π° достовСрно сниТаСт Π² 2,5 Ρ€Π°Π·Π° процСсс образования Π±ΠΈΠΎΠΏΠ»Π΅Π½ΠΎΠΊ ΠΈ ΠΏΡ€ΠΈΠ²ΠΎΠ΄ΠΈΡ‚ ΠΊ Π±ΠΎΠ»Π΅Π΅ Ρ‡Π΅ΠΌ Ρ‚Ρ€Π΅Ρ…ΠΊΡ€Π°Ρ‚Π½ΠΎΠΌΡƒ достовСрному сниТСнию биомассы ΠΏΠ»Π΅Π½ΠΎΠΊ Staphylococcus epideimidis 33 ΠΏΡ€ΠΈ ΠΊΡƒΠ»ΡŒΡ‚ΠΈΠ²ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠΈ Π² Ρ‚Π΅Ρ‡Π΅Π½ΠΈΠΈ 48 часов. Π”Π°Π½Π½Ρ‹Π΅ Ρ„Π°ΠΊΡ‚Ρ‹ ΠΈΠΌΠ΅ΡŽΡ‚ практичСскоС Π·Π½Π°Ρ‡Π΅Π½ΠΈΠ΅ для использования ΠΏΠΎΠ»ΡƒΡ‡Π΅Π½Π½Ρ‹Ρ… Π΄Π°Π½Π½Ρ‹Ρ… экспСримСнта Π² клиничСской стоматологии Π² качСствС способа ингибирования образования Π±Π°ΠΊΡ‚Π΅Ρ€ΠΈΠ°Π»ΡŒΠ½Ρ‹Ρ… ΠΏΠ»Π΅Π½ΠΎΠΊ Π½Π° повСрхностях ΠΏΡ€Π΅Π΄Π»ΠΎΠΆΠ΅Π½Π½Ρ‹Ρ… конструкционных ΠΌΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»ΠΎΠ² ΠΈΠ· диоксида Ρ‚ΠΈΡ‚Π°Π½Π° с Π½Π°Π½ΠΎΠΌΠΎΠ΄ΠΈΡ„ΠΈΡ†ΠΈΡ€ΠΎΠ²Π°Π½Π½ΠΎΠΉ повСрхностной ΠΎΠ±Ρ€Π°Π±ΠΎΡ‚ΠΊΠΎΠΉ
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