483 research outputs found

    The orbifold cohomology of moduli of genus 3 curves

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    In this work we study the additive orbifold cohomology of the moduli stack of smooth genus g curves. We show that this problem reduces to investigating the rational cohomology of moduli spaces of cyclic covers of curves where the genus of the covering curve is g. Then we work out the case of genus g=3. Furthermore, we determine the part of the orbifold cohomology of the Deligne-Mumford compactification of the moduli space of genus 3 curves that comes from the Zariski closure of the inertia stack of M_3.Comment: 29 pages, 2 figures. Minor changes, to appear in Manuscripta Mat

    Three-body structure of low-lying 12Be states

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    We investigate to what extent a description of 12Be as a three-body system made of an inert 10Be-core and two neutrons is able to reproduce the experimental 12Be data. Three-body wave functions are obtained with the hyperspherical adiabatic expansion method. We study the discrete spectrum of 12Be, the structure of the different states, the predominant transition strengths, and the continuum energy spectrum after high energy fragmentation on a light target. Two 0+, one 2+, one 1- and one 0- bound states are found where the first four are known experimentally whereas the 0- is predicted as an isomeric state. An effective neutron charge, reproducing the measured B(E1) transition and the charge rms radius in 11Be, leads to a computed B(E1) transition strength for 12Be in agreement with the experimental value. For the E0 and E2 transitions the contributions from core excitations could be more significant. The experimental 10Be-neutron continuum energy spectrum is also well reproduced except in the energy region corresponding to the 3/2- resonance in 11Be where core excitations contribute.Comment: 16 pages, 9 figures. Accepted for publication in Physical Review

    New broad 8Be nuclear resonances

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    Energies, total and partial widths, and reduced width amplitudes of 8Be resonances up to an excitation energy of 26 MeV are extracted from a coupled channel analysis of experimental data. The presence of an extremely broad J^pi = 2^+ ``intruder'' resonance is confirmed, while a new 1^+ and very broad 4^+ resonance are discovered. A previously known 22 MeV 2^+ resonance is likely resolved into two resonances. The experimental J^pi T = 3^(+)? resonance at 22 MeV is determined to be 3^-0, and the experimental 1^-? (at 19 MeV) and 4^-? resonances to be isospin 0.Comment: 16 pages, LaTe

    Multiscale Discriminant Saliency for Visual Attention

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    The bottom-up saliency, an early stage of humans' visual attention, can be considered as a binary classification problem between center and surround classes. Discriminant power of features for the classification is measured as mutual information between features and two classes distribution. The estimated discrepancy of two feature classes very much depends on considered scale levels; then, multi-scale structure and discriminant power are integrated by employing discrete wavelet features and Hidden markov tree (HMT). With wavelet coefficients and Hidden Markov Tree parameters, quad-tree like label structures are constructed and utilized in maximum a posterior probability (MAP) of hidden class variables at corresponding dyadic sub-squares. Then, saliency value for each dyadic square at each scale level is computed with discriminant power principle and the MAP. Finally, across multiple scales is integrated the final saliency map by an information maximization rule. Both standard quantitative tools such as NSS, LCC, AUC and qualitative assessments are used for evaluating the proposed multiscale discriminant saliency method (MDIS) against the well-know information-based saliency method AIM on its Bruce Database wity eye-tracking data. Simulation results are presented and analyzed to verify the validity of MDIS as well as point out its disadvantages for further research direction.Comment: 16 pages, ICCSA 2013 - BIOCA sessio

    Chaotic Phenomenon in Nonlinear Gyrotropic Medium

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    Nonlinear gyrotropic medium is a medium, whose natural optical activity depends on the intensity of the incident light wave. The Kuhn's model is used to study nonlinear gyrotropic medium with great success. The Kuhn's model presents itself a model of nonlinear coupled oscillators. This article is devoted to the study of the Kuhn's nonlinear model. In the first paragraph of the paper we study classical dynamics in case of weak as well as strong nonlinearity. In case of week nonlinearity we have obtained the analytical solutions, which are in good agreement with the numerical solutions. In case of strong nonlinearity we have determined the values of those parameters for which chaos is formed in the system under study. The second paragraph of the paper refers to the question of the Kuhn's model integrability. It is shown, that at the certain values of the interaction potential this model is exactly integrable and under certain conditions it is reduced to so-called universal Hamiltonian. The third paragraph of the paper is devoted to quantum-mechanical consideration. It shows the possibility of stochastic absorption of external field energy by nonlinear gyrotropic medium. The last forth paragraph of the paper is devoted to generalization of the Kuhn's model for infinite chain of interacting oscillators

    Open/Closed String Duality for Topological Gravity with Matter

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    The exact FZZT brane partition function for topological gravity with matter is computed using the dual two-matrix model. We show how the effective theory of open strings on a stack of FZZT branes is described by the generalized Kontsevich matrix integral, extending the earlier result for pure topological gravity. Using the well-known relation between the Kontsevich integral and a certain shift in the closed-string background, we conclude that these models exhibit open/closed string duality explicitly. Just as in pure topological gravity, the unphysical sheets of the classical FZZT moduli space are eliminated in the exact answer. Instead, they contribute small, nonperturbative corrections to the exact answer through Stokes' phenomenon.Comment: 23 pages, 1 figure, harvma

    Π—ΠΠ’Π˜Π‘Π˜ΠœΠžΠ‘Π’Π¬ Π ΠΠ—ΠœΠ•Π ΠžΠ’ Π‘ΠŸΠ•ΠšΠ›-ΠŸΠ―Π’Π•Π И ИΠ₯ КОНВРАБВА ОВ Π‘Π˜ΠžΠ€Π˜Π—Π˜Π§Π•Π‘ΠšΠ˜Π₯ И БВРУКВУРНЫΠ₯ ΠŸΠΠ ΠΠœΠ•Π’Π ΠžΠ’ Π‘Π˜ΠžΠ’ΠšΠΠΠ˜

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    Speckle fields are widely used in optical diagnostics of biotissues and evaluation of the functional state of bioobjects. The speckle field is formed by laser radiation scattered from the object under study. It bears information about the average dimensions of the scatterers, the degree of surface roughness makes it possible to judge the structural and biophysical characteristics of individual tissue cells (particles), on the one hand, and the integral optical characteristics of the entire biological tissue. The aim of the study was – the determination of connections between the biophysical and structural characteristics of the biotissue and the light fields inside the biotissues.The model developed of the medium gives a direct relationship between the optical and biophysical parameters of the biotissue. Calculations were carried out using known solutions of the radiation transfer equation, taking into account the multilayer structure of the tissue, multiple scattering in the medium, and multiple reflection of irradiation between the layers.With the increase wavelength, the size of speckles formed by the non-scattered component (direct light) of laser radiation increases by a factor of 2 from 400 to 800 ΞΌm in the stratum corneum and 5 times from 0.6 to 3 ΞΌm for the epidermis and from 0.27 to 1.4 ΞΌm to the dermis. Typical values of sizes of speckles formed by the diffraction component of laser radiation for the stratum corneum and epidermis range from 0.02 to 0.15 ΞΌm. For the dermis typical spot sizes are up to 0.03 ΞΌm. The speckle-spot size of the diffusion component in the dermis can vary from Β±10 % at 400 nm and up to Β±23 % for 800 nm when the volume concentration of blood capillaries changes. Characteristic dependencies are obtained and biophysical factors associated with the volume concentration of blood and the degree of it’s oxygenation that affect the contrast of the speckle structure in the dermis are discussed.The of specklesΧ³ size in the layers of tissue varies from a share of micrometer to millimeter. The established dependence makes it possible to determine the depth of penetration of light into the biotissue based on the dimensions of speckles. Calculation of the contrast of the speckle structure of scattered light in visible spectral range at different depths in the biotissue made it possible to establish the dependence of the contrast value of the interference pattern on the degree of oxygenation of the blood and the volume concentration of capillaries in the dermis.Π‘ΠΏΠ΅ΠΊΠ»-поля ΡˆΠΈΡ€ΠΎΠΊΠΎ ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡŽΡ‚ΡΡ для оптичСской диагностики Π±ΠΈΠΎΡ‚ΠΊΠ°Π½Π΅ΠΉ ΠΈ ΠΎΡ†Π΅Π½ΠΊΠΈ Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ состояния Π±ΠΈΠΎΠΎΠ±ΡŠΠ΅ΠΊΡ‚ΠΎΠ². Π‘ΠΏΠ΅ΠΊΠ»-ΠΏΠΎΠ»Π΅, ΠΎΠ±Ρ€Π°Π·ΠΎΠ²Π°Π½Π½ΠΎΠ΅ рассСянным ΠΎΡ‚ исслСдуСмого ΠΎΠ±ΡŠΠ΅ΠΊΡ‚Π° Π»Π°Π·Π΅Ρ€Π½Ρ‹ΠΌ ΠΈΠ·Π»ΡƒΡ‡Π΅Π½ΠΈΠ΅ΠΌ, нСсСт ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΡŽ ΠΎ срСдних Ρ€Π°Π·ΠΌΠ΅Ρ€Π°Ρ… рассСиватСлСй, стСпСни ΡˆΠ΅Ρ€ΠΎΡ…ΠΎΠ²Π°Ρ‚ΠΎΡΡ‚ΠΈ повСрхности, структурных ΠΈ биофизичСских ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€Π°Ρ… ΠΎΡ‚Π΄Π΅Π»ΡŒΠ½Ρ‹Ρ… ΠΊΠ»Π΅Ρ‚ΠΎΠΊ (частиц) Ρ‚ΠΊΠ°Π½ΠΈ, с ΠΎΠ΄Π½ΠΎΠΉ стороны, ΠΈ ΠΎΠ± ΠΈΠ½Ρ‚Π΅Π³Ρ€Π°Π»ΡŒΠ½Ρ‹Ρ… оптичСских характСристиках всСй Ρ‚ΠΎΠ»Ρ‰ΠΈ Π±ΠΈΠΎΡ‚ΠΊΠ°Π½ΠΈ, с Π΄Ρ€ΡƒΠ³ΠΎΠΉ стороны. ЦСль Π΄Π°Π½Π½ΠΎΠΉ Ρ€Π°Π±ΠΎΡ‚Ρ‹ – установлСниС связСй ΠΌΠ΅ΠΆΠ΄Ρƒ биофизичСскими ΠΈ структурными характСристиками Π±ΠΈΠΎΡ‚ΠΊΠ°Π½ΠΈ ΠΈ свСтовыми полями Π²Π½ΡƒΡ‚Ρ€ΠΈ Π±ΠΈΠΎΡ‚ΠΊΠ°Π½Π΅ΠΉ.Разработанная Π½Π°ΠΌΠΈ модСль срСды Π΄Π°Π΅Ρ‚ ΠΏΡ€ΡΠΌΡƒΡŽ связь ΠΌΠ΅ΠΆΠ΄Ρƒ оптичСскими ΠΈ биофизичСскими ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€Π°ΠΌΠΈ Π±ΠΈΠΎΡ‚ΠΊΠ°Π½ΠΈ. РасчСты ΠΏΡ€ΠΎΠ²ΠΎΠ΄ΠΈΠ»ΠΈΡΡŒ с использованиСм извСстных Ρ€Π΅ΡˆΠ΅Π½ΠΈΠΉ уравнСния пСрСноса излучСния, ΡƒΡ‡ΠΈΡ‚Ρ‹Π²Π°ΡŽΡ‰ΠΈΡ… ΠΌΠ½ΠΎΠ³ΠΎΡΠ»ΠΎΠΉΠ½ΡƒΡŽ структуру Π±ΠΈΠΎΡ‚ΠΊΠ°Π½ΠΈ, ΠΌΠ½ΠΎΠ³ΠΎΠΊΡ€Π°Ρ‚Π½ΠΎΠ΅ рассСяниС Π² срСдС ΠΈ ΠΌΠ½ΠΎΠ³ΠΎΠΊΡ€Π°Ρ‚Π½ΠΎΠ΅ ΠΏΠ΅Ρ€Π΅ΠΎΡ‚Ρ€Π°ΠΆΠ΅Π½ΠΈΠ΅ излучСния ΠΌΠ΅ΠΆΠ΄Ρƒ слоями.Π‘ ростом Π΄Π»ΠΈΠ½Ρ‹ Π²ΠΎΠ»Π½Ρ‹ Ρ€Π°Π·ΠΌΠ΅Ρ€ спСклов, ΠΎΠ±Ρ€Π°Π·ΠΎΠ²Π°Π½Π½Ρ‹Ρ… нСрассСянной ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½Ρ‚ΠΎΠΉ (прямой свСт) Π»Π°Π·Π΅Ρ€Π½ΠΎΠ³ΠΎ излучСния, увСличиваСтся Π² 2 Ρ€Π°Π·Π° – ΠΎΡ‚ 400 Π΄ΠΎ 800 ΠΌΠΊΠΌ Π² Ρ€ΠΎΠ³ΠΎΠ²ΠΎΠΌ слоС, Π² 5 Ρ€Π°Π· – ΠΎΡ‚ 0,6 Π΄ΠΎ 3 ΠΌΠΊΠΌ для эпидСрмиса ΠΈ ΠΎΡ‚ 0,27 Π΄ΠΎ 1,4 ΠΌΠΊΠΌ для Π΄Π΅Ρ€ΠΌΡ‹. Π’ΠΈΠΏΠΈΡ‡Π½Ρ‹Π΅ значСния Ρ€Π°Π·ΠΌΠ΅Ρ€ΠΎΠ² спСклов, ΠΎΠ±Ρ€Π°Π·ΠΎΠ²Π°Π½Π½Ρ‹Ρ… Π΄ΠΈΡ„Ρ€Π°ΠΊΡ†ΠΈΠΎΠ½Π½ΠΎΠΉ ΡΠΎΡΡ‚Π°Π²Π»ΡΡŽΡ‰Π΅ΠΉ Π»Π°Π·Π΅Ρ€Π½ΠΎΠ³ΠΎ излучСния, для Ρ€ΠΎΠ³ΠΎΠ²ΠΎΠ³ΠΎ слоя ΠΈ эпидСрмиса находятся Π² Π΄ΠΈΠ°ΠΏΠ°Π·ΠΎΠ½Π΅ ΠΎΡ‚ 0,02 Π΄ΠΎ 0,15 ΠΌΠΊΠΌ. Для Π΄Π΅Ρ€ΠΌΡ‹ Ρ‚ΠΈΠΏΠΈΡ‡Π½Ρ‹ΠΌΠΈ ΡΠ²Π»ΡΡŽΡ‚ΡΡ спСкл-пятна Ρ€Π°Π·ΠΌΠ΅Ρ€Π°ΠΌΠΈ Π΄ΠΎ 0,03 ΠΌΠΊΠΌ. Π Π°Π·ΠΌΠ΅Ρ€ спСкл-пятСн Π΄ΠΈΡ„Ρ„ΡƒΠ·ΠΈΠΎΠ½Π½ΠΎΠΉ ΡΠΎΡΡ‚Π°Π²Π»ΡΡŽΡ‰Π΅ΠΉ Π² Π΄Π΅Ρ€ΠΌΠ΅ Π²Π°Ρ€ΡŒΠΈΡ€ΡƒΠ΅Ρ‚ΡΡ Π² ΠΏΡ€Π΅Π΄Π΅Π»Π°Ρ… ΠΎΡ‚ Β±10 % ΠΏΡ€ΠΈ 400 Π½ΠΌ ΠΈ Π΄ΠΎ Β±23 % для 800 Π½ΠΌ ΠΏΡ€ΠΈ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΈ Π²Π΅Π»ΠΈΡ‡ΠΈΠ½Ρ‹ объСмной ΠΊΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†ΠΈΠΈ капилляров ΠΊΡ€ΠΎΠ²ΠΈ. ΠŸΠΎΠ»ΡƒΡ‡Π΅Π½Ρ‹ Ρ…Π°Ρ€Π°ΠΊΡ‚Π΅Ρ€Π½Ρ‹Π΅ зависимости ΠΈ обсуТдСны биофизичСскиС Ρ„Π°ΠΊΡ‚ΠΎΡ€Ρ‹, связанныС с биофизичСскими характСристиками Π±ΠΈΠΎΡ‚ΠΊΠ°Π½ΠΈ, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅ Π²Π»ΠΈΡΡŽΡ‚ Π½Π° контраст спСкл-структуры Π² Π΄Π΅Ρ€ΠΌΠ΅.ЗначСния Ρ€Π°Π·ΠΌΠ΅Ρ€ΠΎΠ² спСклов Π² слоях Π±ΠΈΠΎΡ‚ΠΊΠ°Π½ΠΈ Π²Π°Ρ€ΡŒΠΈΡ€ΡƒΡŽΡ‚ΡΡ ΠΎΡ‚ Π΄ΠΎΠ»Π΅ΠΉ ΠΌΠΈΠΊΡ€ΠΎΠΌΠ΅Ρ‚Ρ€Π° Π΄ΠΎ ΠΌΠΈΠ»Π»ΠΈΠΌΠ΅Ρ‚Ρ€Π°. УстановлСнная Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡ‚ΡŒ позволяСт ΠΎΠΏΡ€Π΅Π΄Π΅Π»ΠΈΡ‚ΡŒ Π³Π»ΡƒΠ±ΠΈΠ½Ρƒ проникновСния излучСния Π² Π±ΠΈΠΎΡ‚ΠΊΠ°Π½ΡŒ, исходя ΠΈΠ· Ρ€Π°Π·ΠΌΠ΅Ρ€ΠΎΠ² спСклов. РасчСт контраста спСкл-структуры рассСянного излучСния Π² Π²ΠΈΠ΄ΠΈΠΌΠΎΠΌ Π΄ΠΈΠ°ΠΏΠ°Π·ΠΎΠ½Π΅ Π½Π° Ρ€Π°Π·Π»ΠΈΡ‡Π½ΠΎΠΉ Π³Π»ΡƒΠ±ΠΈΠ½Π΅ Π² Π±ΠΈΠΎΡ‚ΠΊΠ°Π½ΠΈ ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠ» ΡƒΡΡ‚Π°Π½ΠΎΠ²ΠΈΡ‚ΡŒ Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡ‚ΡŒ Π²Π΅Π»ΠΈΡ‡ΠΈΠ½Ρ‹ контраста ΠΈΠ½Ρ‚Π΅Ρ€Ρ„Π΅Ρ€Π΅Π½Ρ†ΠΈΠΎΠ½Π½ΠΎΠΉ ΠΊΠ°Ρ€Ρ‚ΠΈΠ½Ρ‹ ΠΎΡ‚ стСпСни оксигСнации ΠΊΡ€ΠΎΠ²ΠΈ ΠΈ объСмной ΠΊΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†ΠΈΠΈ капилляров Π² Π΄Π΅Ρ€ΠΌΠ΅

    ΠœΠ•Π’ΠžΠ”Π˜ΠšΠ ΠžΠŸΠ Π•Π”Π•Π›Π•ΠΠ˜Π― ΠžΠ‘ΠͺΠ•ΠœΠΠžΠ™ ΠšΠžΠΠ¦Π•ΠΠ’Π ΠΠ¦Π˜Π˜ ΠšΠ ΠžΠ’Π˜ ПО КОНВРАБВУ Π˜ΠΠ’Π•Π Π€Π•Π Π•ΠΠ¦Π˜ΠžΠΠΠžΠ™ КАРВИНЫ Π’ΠΠ£Π’Π Π˜ Π‘Π˜ΠžΠ’ΠšΠΠΠ˜

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    The method of determining the volume concentration of blood in contrast of the interference pattern in biological tissues is developed and described. The estimation of measurement uncertainty is given.Π Π°Π·Ρ€Π°Π±ΠΎΡ‚Π°Π½Π° ΠΈ описана ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊΠ° опрСдСлСния объСмной ΠΊΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†ΠΈΠΈ ΠΊΡ€ΠΎΠ²ΠΈ ΠΏΠΎ контрасту ΠΈΠ½Ρ‚Π΅Ρ€Ρ„Π΅Ρ€Π΅Π½Ρ†ΠΈΠΎΠ½Π½ΠΎΠΉ ΠΊΠ°Ρ€Ρ‚ΠΈΠ½Ρ‹ Π²Π½ΡƒΡ‚Ρ€ΠΈ Π±ΠΈΠΎΡ‚ΠΊΠ°Π½ΠΈ. ΠŸΡ€ΠΎΠ²Π΅Π΄Π΅Π½Π° ΠΎΡ†Π΅Π½ΠΊΠ° ΠΏΠΎΠ³Ρ€Π΅ΡˆΠ½ΠΎΡΡ‚ΠΈ измСрСния Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚Π°Π½Π½ΠΎΠΉ ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊΠΈ

    БистСма ΠΎΡ†Π΅Π½ΠΊΠΈ Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ состояния ΠΊΡ€ΠΎΠ²ΠΎΡ‚ΠΎΠΊΠ° Π² повСрхностных слоях ΠΊΠΎΠΆΠ½Ρ‹Ρ… ΠΏΠΎΠΊΡ€ΠΎΠ²ΠΎΠ² ΠΏΠΎ спСкл-структурС ΠΌΠ½ΠΎΠ³ΠΎΠΊΡ€Π°Ρ‚Π½ΠΎ рассСянного оптичСского излучСния

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    Assessment of the parameters of skin microcirculation is an urgent and important task of modern medicine in the development of methods for diagnosing diseases of the nervous system. The system for assessing the functional state of blood flow in the skin surface layers in the wavelength range from 400 to 850 nm has been improved based on the use of an extended mathematical model of the propagation of optical radiation in human skin by taking into account additional parameters: optical anisotropy of the skin, diameter and shape of erythrocytes in the dermis layer, blood pressure in the brachial artery in the range from 90/60 to 195/130 mmΞ‡Hg, plasma protein concentration in the blood (Ξ±1, Ξ±2, Ξ²1, Ξ²2, Ξ³-globulins and fibrinogen, g/l), rheological properties of blood flow with a diameter of blood vessels from 4.5 to 500 microns in the skin surface layers, skin temperature from +35 to +41 Β°C. The developed system makes it possible to determine the severity of microhemodynamic shifts in relation to metabolic disorders, improve diagnosis and evaluate the treatment efficacy of a number of neurological disorders; it also made it possible to reduce the patient examination time and increase the accuracy of measuring the blood flow microcirculation parameters by 10 % (linear and volumetric blood flow velocities) to detect blood flow disturbances in the surface layers of the skin in the normal and abnormal condition of the nervous system.ΠžΡ†Π΅Π½ΠΊΠ° ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€ΠΎΠ² микроциркуляции ΠΊΠΎΠΆΠ½Ρ‹Ρ… ΠΏΠΎΠΊΡ€ΠΎΠ²ΠΎΠ² являСтся Π°ΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½ΠΎΠΉ ΠΈ Π²Π°ΠΆΠ½ΠΎΠΉ Π·Π°Π΄Π°Ρ‡Π΅ΠΉ соврСмСнной ΠΌΠ΅Π΄ΠΈΡ†ΠΈΠ½Ρ‹ ΠΏΡ€ΠΈ Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΠ΅ ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ² диагностики Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ Π½Π΅Ρ€Π²Π½ΠΎΠΉ систСмы. Π£ΡΠΎΠ²Π΅Ρ€ΡˆΠ΅Π½ΡΡ‚Π²ΠΎΠ²Π°Π½Π° систСма ΠΎΡ†Π΅Π½ΠΊΠΈ Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ состояния ΠΊΡ€ΠΎΠ²ΠΎΡ‚ΠΎΠΊΠ° Π² Π²Π΅Ρ€Ρ…Π½ΠΈΡ… слоях ΠΊΠΎΠΆΠΈ Π² Π΄ΠΈΠ°ΠΏΠ°Π·ΠΎΠ½Π΅ Π΄Π»ΠΈΠ½ Π²ΠΎΠ»Π½ ΠΎΡ‚ 400 Π΄ΠΎ 850 Π½ΠΌ Π½Π° основС использования Ρ€Π°ΡΡˆΠΈΡ€Π΅Π½Π½ΠΎΠΉ матСматичСской ΠΌΠΎΠ΄Π΅Π»ΠΈ распространСния оптичСского излучСния Π² ΠΊΠΎΠΆΠ΅ Ρ‡Π΅Π»ΠΎΠ²Π΅ΠΊΠ° Π·Π° счСт ΡƒΡ‡Π΅Ρ‚Π° Π΄ΠΎΠΏΠΎΠ»Π½ΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹Ρ… ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€ΠΎΠ²: оптичСской Π°Π½ΠΈΠ·ΠΎΡ‚Ρ€ΠΎΠΏΠΈΠΈ ΠΊΠΎΠΆΠ½ΠΎΠ³ΠΎ ΠΏΠΎΠΊΡ€ΠΎΠ²Π°, Π΄ΠΈΠ°ΠΌΠ΅Ρ‚Ρ€Π° ΠΈ Ρ„ΠΎΡ€ΠΌΡ‹ эритроцитов Π² слоС Π΄Π΅Ρ€ΠΌΡ‹, Π°Ρ€Ρ‚Π΅Ρ€ΠΈΠ°Π»ΡŒΠ½ΠΎΠ³ΠΎ давлСния ΠΊΡ€ΠΎΠ²ΠΈ Π² ΠΏΠ»Π΅Ρ‡Π΅Π²ΠΎΠΉ Π°Ρ€Ρ‚Π΅Ρ€ΠΈΠΈ Π² Π΄ΠΈΠ°ΠΏΠ°Π·ΠΎΠ½Π΅ ΠΎΡ‚ 90/60 Π΄ΠΎ 195/130 ΠΌΠΌ Ρ€Ρ‚. ст., ΠΊΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†ΠΈΠΈ Π±Π΅Π»ΠΊΠΎΠ² ΠΏΠ»Π°Π·ΠΌΡ‹ Π² ΠΊΡ€ΠΎΠ²ΠΈ (Ξ±1, Ξ±2, Ξ²1, Ξ²2, Ξ³-Π³Π»ΠΎΠ±ΡƒΠ»ΠΈΠ½ΠΎΠ² ΠΈ Ρ„ΠΈΠ±Ρ€ΠΈΠ½ΠΎΠ³Π΅Π½Π°, Π³/Π»), рСологичСских свойств тСчСния ΠΊΡ€ΠΎΠ²ΠΈ ΠΏΡ€ΠΈ Π΄ΠΈΠ°ΠΌΠ΅Ρ‚Ρ€Π΅ кровСносных сосудов ΠΎΡ‚ 4,5 Π΄ΠΎ 500 ΠΌΠΊΠΌ Π² повСрхностных слоях ΠΊΠΎΠΆΠΈ, Ρ‚Π΅ΠΌΠΏΠ΅Ρ€Π°Ρ‚ΡƒΡ€Ρ‹ ΠΊΠΎΠΆΠ½Ρ‹Ρ… ΠΏΠΎΠΊΡ€ΠΎΠ²ΠΎΠ² ΠΎΡ‚ +35 Π΄ΠΎ +41 Β°Π‘. Разработанная систСма позволяСт ΠΎΠΏΡ€Π΅Π΄Π΅Π»ΠΈΡ‚ΡŒ Π²Ρ‹Ρ€Π°ΠΆΠ΅Π½Π½ΠΎΡΡ‚ΡŒ микрогСмодинамичСских сдвигов Π²ΠΎ взаимосвязи с мСтаболичСскими Π½Π°Ρ€ΡƒΡˆΠ΅Π½ΠΈΡΠΌΠΈ, ΡƒΠ»ΡƒΡ‡ΡˆΠΈΡ‚ΡŒ диагностику ΠΈ ΠΎΡ†Π΅Π½ΠΈΡ‚ΡŒ ΡΡ„Ρ„Π΅ΠΊΡ‚ΠΈΠ²Π½ΠΎΡΡ‚ΡŒ лСчСния ряда Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ Π½Π΅Ρ€Π²Π½ΠΎΠΉ систСмы, ΡΠΎΠΊΡ€Π°Ρ‚ΠΈΡ‚ΡŒ врСмя обслСдования ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚Π° ΠΈ ΠΏΠΎΠ²Ρ‹ΡΠΈΡ‚ΡŒ Ρ‚ΠΎΡ‡Π½ΠΎΡΡ‚ΡŒ измСрСния ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€ΠΎΠ² микроциркуляции ΠΊΡ€ΠΎΠ²ΠΎΡ‚ΠΎΠΊΠ° Π½Π° 10 % (Π»ΠΈΠ½Π΅ΠΉΠ½ΠΎΠΉ ΠΈ объСмной скоростСй ΠΊΡ€ΠΎΠ²ΠΎΡ‚ΠΎΠΊΠ°) для выявлСния Π½Π°Ρ€ΡƒΡˆΠ΅Π½ΠΈΠΉ ΠΊΡ€ΠΎΠ²ΠΎΡ‚ΠΎΠΊΠ° Π² повСрхностных слоях ΠΊΠΎΠΆΠΈ Π² Π½ΠΎΡ€ΠΌΠ΅ ΠΈ ΠΏΡ€ΠΈ ΠΏΠ°Ρ‚ΠΎΠ»ΠΎΠ³ΠΈΠΈ Π½Π΅Ρ€Π²Π½ΠΎΠΉ систСмы Ρ‡Π΅Π»ΠΎΠ²Π΅ΠΊΠ°

    ΠœΠ•Π’ΠžΠ”Π˜ΠšΠ ΠžΠŸΠ Π•Π”Π•Π›Π•ΠΠ˜Π― Π‘Π’Π•ΠŸΠ•ΠΠ˜ ΠžΠšΠ‘Π˜Π“Π•ΠΠΠ¦Π˜Π˜ ΠšΠ ΠžΠ’Π˜ ПО КОНВРАБВУ Π˜ΠΠ’Π•Π Π€Π•Π Π•ΠΠ¦Π˜ΠžΠΠΠžΠ™ КАРВИНЫ Π’ΠΠ£Π’Π Π˜ Π‘Π˜ΠžΠ’ΠšΠΠΠ˜

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    On the basis of characteristics of the interference pattern formed by the repeatedly scattered light has been developed and described a method of determining the degree of blood oxygenation knowing the contrast of the interference pattern in biological tissues. The estimation of measurement uncertainty of developed technique and the ways to increase accuracy are shown. It demonstrates the possibility of solving the inverse problem of oxygenation using the contrast of the interference pattern.На основС расчСта характСристик ΠΈΠ½Ρ‚Π΅Ρ€Ρ„Π΅Ρ€Π΅Π½Ρ†ΠΈΠΎΠ½Π½ΠΎΠΉ ΠΊΠ°Ρ€Ρ‚ΠΈΠ½Ρ‹, Ρ„ΠΎΡ€ΠΌΠΈΡ€ΡƒΠ΅ΠΌΠΎΠΉ ΠΌΠ½ΠΎΠ³ΠΎΠΊΡ€Π°Ρ‚Π½ΠΎ рассСянным свСтом, Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚Π°Π½Π° ΠΈ описана ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊΠ° опрСдСлСния стСпСни оксигСнации ΠΊΡ€ΠΎΠ²ΠΈ ΠΏΠΎ контрасту ΠΈΠ½Ρ‚Π΅Ρ€Ρ„Π΅Ρ€Π΅Π½Ρ†ΠΈΠΎΠ½Π½ΠΎΠΉ ΠΊΠ°Ρ€Ρ‚ΠΈΠ½Ρ‹ Π²Π½ΡƒΡ‚Ρ€ΠΈ Π±ΠΈΠΎΡ‚ΠΊΠ°Π½ΠΈ. ΠŸΡ€ΠΎΠ²Π΅Π΄Π΅Π½Π° ΠΎΡ†Π΅Π½ΠΊΠ° ΠΏΠΎΠ³Ρ€Π΅ΡˆΠ½ΠΎΡΡ‚ΠΈ измСрСния Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚Π°Π½Π½ΠΎΠΉ ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊΠΈ ΠΈ ΡƒΠΊΠ°Π·Π°Π½Ρ‹ ΠΏΡƒΡ‚ΠΈ увСличСния точности
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