483 research outputs found
Classical Conformal Blocks and Painleve VI
We study the classical c\to \infty limit of the Virasoro conformal blocks. We
point out that the classical limit of the simplest nontrivial null-vector
decoupling equation on a sphere leads to the Painleve VI equation. This gives
the explicit representation of generic four-point classical conformal block in
terms of the regularized action evaluated on certain solution of the Painleve
VI equation. As a simple consequence, the monodromy problem of the Heun
equation is related to the connection problem for the Painleve VI.Comment: 19 pages, 5 figures; references adde
Max-plus definite matrix closures and their eigenspaces
In this paper we introduce the definite closure operation for max-plus
matrices with finite permanent, reveal inner structures of definite
eigenspaces, and establish some facts about Hilbert distances between these
inner structures and the boundary of the definite eigenspaceComment: 20 pages,6 figures, v2: minor changes in figures and in the main tex
An interval version of separation by semispaces in max-min convexity
We study separation of a closed box from a max-min convex set by max-min
semispace. This can be regarded as an interval extension of known separation
results. We give a constructive proof of the separation in the case when the
box and the max-min convex set satisfy certain condition, and we show that
separation is never possible if this condition does not hold. We also study
separation of max-min convex sets by boxes and by box and semispace
Generators, extremals and bases of max cones
Max cones are max-algebraic analogs of convex cones. In the present paper we
develop a theory of generating sets and extremals of max cones in . This theory is based on the observation that extremals are minimal
elements of max cones under suitable scalings of vectors. We give new proofs of
existing results suitably generalizing, restating and refining them. Of these,
it is important that any set of generators may be partitioned into the set of
extremals and the set of redundant elements. We include results on properties
of open and closed cones, on properties of totally dependent sets and on
computational bounds for the problem of finding the (essentially unique) basis
of a finitely generated cone.Comment: 15 pages, 1 figure; v2: new layout, several new references,
renumbering of result
Epidemiology and Control of Leishmaniasis in the Former USSR: A Review Article
BACKGROUND. All types of the Old Worldβs leishmaniasis were endemic on the territoru of the ex-Soviet Republics in the Central Asia and Transcaucasia. Epidemiological situation was well under control during the USSR era, due to implementation of complex anti-leismaniasis measures. These interventions were dramatically stopped as a result of the collapse of the USSR in 1991. Within next years the incidence of leishmaniasis returned to the level of the 1950s threatening to reach epidemic proportions unless urgent measures are undertaking.
METHODS. Most relevant publications on epidemiology and control of leishmaniases in the Republics of Central AsiaΒ and TranscaucasiaΒ of the ex-USSR were screened. Data from foreign publications, especially from countries with similar or close to that epidemiological situation in respect of leishmaniases were also included.
RESULTS. Epidemiological analysis of spatial distribution of leishmaniases in the ex-USSR revealed that the northern borderline of these diseases is determined by the distribution of the vectors (42-460 North latitude). Within the endemic area, the foci of different kinds of leishmaniasis are often overlapped thus calling for deployment of integrated measures. The anthroponotic cutaneous leishmaniasis (ACL) was reported in settlements and towns of Central Asia and Transcaucasia of the ex-USSR. The natural foci of cutaneous leishmaniasis were widespread in the desert of Turkmenistan, Uzbekistan, southern Kazakhstan, and southern Tajikistan. The northern boundary of the zoonotic cutaneous leishmaniasis (ZCL) area coincided with the northern boundary of the distribution of great gerbils β the main reservoir of this infection in the ex-USSR. Visceral leishmaniasis (VL) occurred in the Central Asian Republics and in the republics of the Transcaucasia. The strategies of control and prevention of leishmaniases in the ex-USSR were based on good knowledge of epidemiology of infections. Holistic approach was adopted by the programs targeting the source of infection, vector(s) and man.
CONCLUSION. The presence rise in the number of cases of different types of leishmaniasis in the ex-USSR strongly necessitates that health authorities should consider these diseases as an important public health problem. The immediate task would be re-building a comprehensive surveillance system consisting of active and passive case detection mechanism along with immediate treatment of the patients
Application of microwave photonics in fiber optical sensors
Microwave photonics is a new scientific and technical area of research, which was formed as a result of intensive development of such fields as fiber, integrated and nonlinear optics, laser physics, optoelectronics and microelectronics. A positive trend in the field of microwave photonic devices development has appeared in recent decades. The trend is related to the fact that these devices can operate in ultra-high and super-high frequencies and microwave ranges, and have parameters, which are unattainable by conventional electronic devices. Technical characteristics of microwave
photonic measuring systems are comparable with those of traditional fiber-optic sensors. This technology can be used both for creation of new measuring devices and improvement of existing other types of measuring systems. This paper presents an analytical review of microwave photonics application technologies in fiber-optic measuring instruments. The general design concept for microwave photonic fiber-optic measuring devices is considered in the first part of the review paper. Microwave photonic filters are presented, which are the key elements of microwave photonic fiber-optic
measuring devices. Their design technologies are described with indication of the features, advantages and disadvantages. Methods for creation of microwave photonic finite impulse response filters with positive and negative coefficients are considered. The following sections are devoted directly to the analysis of microwave photonic fiber-optic measuring devices and contain classification of such devices according to their principle of operation. The classification of spectral and interferometric microwave photonic fiber-optic measuring devices with indication of their distinctive features is proposed. Experimental data of the most common sensors is presented and analyzed; the main characteristics and areas of their practical application are presented for each of them. New approaches and methods are considered for creation
of microwave photonic measuring systems and improvement of tactical and technical characteristics of existing devices. Comparison between microwave photonic fiber-optic measuring devices and traditional fiber-optic measuring systems is performed. According to comparison results, conclusions can be drawn about applicability of microwave photonic fiber-optic measuring devices and advantages of their use compared to other fiber-optic sensors.Π Π°Π΄ΠΈΠΎΡΠΎΡΠΎΠ½ΠΈΠΊΠ° ΡΠ²Π»ΡΠ΅ΡΡΡ Π½ΠΎΠ²ΡΠΌ Π½Π°ΡΡΠ½ΠΎ-ΡΠ΅Ρ
Π½ΠΈΡΠ΅ΡΠΊΠΈΠΌ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΠ΅ΠΌ, ΠΊΠΎΡΠΎΡΠΎΠ΅ ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π»ΠΎΡΡ Π² ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ΅ ΠΈΠ½ΡΠ΅Π½-ΡΠΈΠ²Π½ΠΎΠ³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠ°ΠΊΠΈΡ
ΠΎΠ±Π»Π°ΡΡΠ΅ΠΉ, ΠΊΠ°ΠΊ Π²ΠΎΠ»ΠΎΠΊΠΎΠ½Π½Π°Ρ, ΠΈΠ½ΡΠ΅Π³ΡΠ°Π»ΡΠ½Π°Ρ ΠΈ Π½Π΅Π»ΠΈΠ½Π΅ΠΉΠ½Π°Ρ ΠΎΠΏΡΠΈΠΊΠ°, Π»Π°Π·Π΅ΡΠ½Π°Ρ ΡΠΈΠ·ΠΈΠΊΠ°, ΠΎΠΏΡΠΎ- ΠΈ ΠΌΠΈΠΊΡΠΎΡΠ»Π΅ΠΊΡΡΠΎΠ½ΠΈΠΊΠ°. Π ΠΏΠΎΡΠ»Π΅Π΄Π½ΠΈΠ΅ Π΄Π΅ΡΡΡΠΈΠ»Π΅ΡΠΈΡ Π½Π°Π±Π»ΡΠ΄Π°Π΅ΡΡΡ ΠΏΠΎΠ»ΠΎΠΆΠΈΡΠ΅Π»ΡΠ½Π°Ρ Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠ° ΠΏΠΎ ΡΠΎΠ·Π΄Π°Π½ΠΈΡ ΡΠ°Π΄ΠΈΠΎΡΠΎΡΠΎΠ½Π½ΡΡ
ΡΡΡΡΠΎΠΉΡΡΠ², ΡΡΠ° ΡΠ΅Π½Π΄Π΅Π½ΡΠΈΡ ΡΠ²ΡΠ·Π°Π½Π° Ρ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΡΡ ΡΠΎΠ·Π΄Π°Π²Π°ΡΡ ΡΡΡΡΠΎΠΉΡΡΠ²Π° ΡΠ»ΡΡΡΠ°Π²ΡΡΠΎΠΊΠΈΡ
ΠΈ ΡΠ²Π΅ΡΡ
Π²ΡΡΠΎΠΊΠΈΡ
ΡΠ°ΡΡΠΎΡ Ρ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠ°ΠΌΠΈ, Π½Π΅Π΄ΠΎΡΡΠΈΠΆΠΈΠΌΡΠΌΠΈ ΠΎΠ±ΡΡΠ½ΡΠΌΠΈ ΡΠ»Π΅ΠΊΡΡΠΎΠ½Π½ΡΠΌΠΈ ΡΡΡΡΠΎΠΉΡΡΠ²Π°ΠΌΠΈ. Π₯Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠΈ ΡΠ°Π΄ΠΈΠΎΡΠΎΡΠΎΠ½Π½ΡΡ
ΠΈΠ·ΠΌΠ΅ΡΠΈ-ΡΠ΅Π»ΡΠ½ΡΡ
ΡΠΈΡΡΠ΅ΠΌ ΡΠΎΠΏΠΎΡΡΠ°Π²ΠΈΠΌΡ Ρ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠ°ΠΌΠΈ ΡΡΠ°Π΄ΠΈΡΠΈΠΎΠ½Π½ΡΡ
Π²ΠΎΠ»ΠΎΠΊΠΎΠ½Π½ΠΎ-ΠΎΠΏΡΠΈΡΠ΅ΡΠΊΠΈΡ
Π΄Π°ΡΡΠΈΠΊΠΎΠ², Π΄Π°Π½Π½Π°Ρ ΡΠ΅Ρ
Π½ΠΎ-Π»ΠΎΠ³ΠΈΡ ΠΌΠΎΠΆΠ΅Ρ Π±ΡΡΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½Π° ΠΊΠ°ΠΊ Π΄Π»Ρ ΡΠΎΠ·Π΄Π°Π½ΠΈΡ Π½ΠΎΠ²ΡΡ
ΠΈΠ·ΠΌΠ΅ΡΠΈΡΠ΅Π»ΡΠ½ΡΡ
ΠΏΡΠΈΠ±ΠΎΡΠΎΠ², ΡΠ°ΠΊ ΠΈ Π΄Π»Ρ ΡΡΠΎΠ²Π΅ΡΡΠ΅Π½ΡΡΠ²ΠΎΠ²Π°Π½ΠΈΡ ΡΠΆΠ΅ ΡΡΡΠ΅ΡΡΠ²ΡΡΡΠΈΡ
ΠΈΠ·ΠΌΠ΅ΡΠΈΡΠ΅Π»ΡΠ½ΡΡ
ΡΠΈΡΡΠ΅ΠΌ Π΄ΡΡΠ³ΠΈΡ
ΡΠΈΠΏΠΎΠ². Π ΡΠ°Π±ΠΎΡΠ΅ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½ Π°Π½Π°Π»ΠΈΡΠΈΡΠ΅ΡΠΊΠΈΠΉ ΠΎΠ±Π·ΠΎΡ ΡΠΏΠΎΡΠΎΠ±ΠΎΠ²
ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΡ ΡΠ°Π΄ΠΈΠΎΡΠΎΡΠΎΠ½Π½ΡΡ
ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ Π² Π²ΠΎΠ»ΠΎΠΊΠΎΠ½Π½ΠΎ-ΠΎΠΏΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈΠ·ΠΌΠ΅ΡΠΈΡΠ΅Π»ΡΠ½ΡΡ
ΠΏΡΠΈΠ±ΠΎΡΠ°Ρ
. Π ΠΏΠ΅ΡΠ²ΠΎΠΉ ΡΠ°ΡΡΠΈ ΠΎΠ±Π·ΠΎΡΠ½ΠΎΠΉ ΡΡΠ°ΡΡΠΈ ΡΠ°ΡΡΠΌΠΎΡΡΠ΅Π½ ΠΎΠ±ΡΠΈΠΉ ΠΏΡΠΈΠ½ΡΠΈΠΏ ΠΏΠΎΡΡΡΠΎΠ΅Π½ΠΈΡ ΡΠ°Π΄ΠΈΠΎΡΠΎΡΠΎΠ½Π½ΡΡ
Π²ΠΎΠ»ΠΎΠΊΠΎΠ½Π½ΠΎ-ΠΎΠΏΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈΠ·ΠΌΠ΅ΡΠΈΡΠ΅Π»ΡΠ½ΡΡ
ΠΏΡΠΈΠ±ΠΎΡΠΎΠ². ΠΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Ρ ΠΊΠ»ΡΡΠ΅Π²ΡΠ΅ ΡΠ»Π΅ΠΌΠ΅Π½ΡΡ ΠΏΠΎΠ΄ΠΎΠ±Π½ΠΎΠ³ΠΎ ΡΠΎΠ΄Π° ΡΠΈΡΡΠ΅ΠΌ β ΡΠ°Π΄ΠΈΠΎΡΠΎΡΠΎΠ½Π½ΡΠ΅ ΡΠΈΠ»ΡΡΡΡ. ΠΠΏΠΈΡΠ°Π½Ρ ΡΠ΅Ρ
-Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ ΠΈΡ
ΠΏΠΎΡΡΡΠΎΠ΅Π½ΠΈΡ Ρ ΡΠΊΠ°Π·Π°Π½ΠΈΠ΅ΠΌ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠ΅ΠΉ, ΠΏΡΠ΅ΠΈΠΌΡΡΠ΅ΡΡΠ² ΠΈ Π½Π΅Π΄ΠΎΡΡΠ°ΡΠΊΠΎΠ². Π Π°ΡΡΠΌΠΎΡΡΠ΅Π½Ρ ΡΠΏΠΎΡΠΎΠ±Ρ ΡΠΎΠ·Π΄Π°Π½ΠΈΡ ΡΠ°Π΄ΠΈΠΎΡΠΎΡΠΎΠ½Π½ΡΡ
ΡΠΈΠ»ΡΡΡΠΎΠ² Ρ ΠΊΠΎΠ½Π΅ΡΠ½ΠΎΠΉ ΠΈΠΌΠΏΡΠ»ΡΡΠ½ΠΎΠΉ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠΎΠΉ Ρ ΠΏΠΎΠ»ΠΎΠΆΠΈΡΠ΅Π»ΡΠ½ΡΠΌΠΈ ΠΈ ΠΎΡΡΠΈΡΠ°ΡΠ΅Π»ΡΠ½ΡΠΌΠΈ ΠΊΠΎΡΡ-ΡΠΈΡΠΈΠ΅Π½ΡΠ°ΠΌΠΈ. ΠΠΎΡΠ»Π΅Π΄ΡΡΡΠΈΠ΅ ΡΠ°Π·Π΄Π΅Π»Ρ ΠΏΠΎΡΠ²ΡΡΠ΅Π½Ρ Π½Π΅ΠΏΠΎΡΡΠ΅Π΄ΡΡΠ²Π΅Π½Π½ΠΎ Π°Π½Π°Π»ΠΈΠ·Ρ ΡΠ°Π΄ΠΈΠΎΡΠΎΡΠΎΠ½Π½ΡΡ
Π²ΠΎΠ»ΠΎΠΊΠΎΠ½Π½ΠΎ-ΠΎΠΏΡΠΈΡΠ΅-ΡΠΊΠΈΡ
ΠΈΠ·ΠΌΠ΅ΡΠΈΡΠ΅Π»ΡΠ½ΡΡ
ΠΏΡΠΈΠ±ΠΎΡΠΎΠ² ΠΈ ΡΠΎΠ΄Π΅ΡΠΆΠ°Ρ ΠΊΠ»Π°ΡΡΠΈΡΠΈΠΊΠ°ΡΠΈΡ ΡΠ°ΠΊΠΈΡ
ΡΡΡΡΠΎΠΉΡΡΠ² ΠΏΠΎ ΠΈΡ
ΠΏΡΠΈΠ½ΡΠΈΠΏΡ ΡΠ°Π±ΠΎΡΡ. ΠΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π° ΠΊΠ»Π°ΡΡΠΈΡΠΈΠΊΠ°ΡΠΈΡ ΡΠΏΠ΅ΠΊΡΡΠ°Π»ΡΠ½ΡΡ
ΠΈ ΠΈΠ½ΡΠ΅ΡΡΠ΅ΡΠΎΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠ°Π΄ΠΈΠΎΡΠΎΡΠΎΠ½Π½ΡΡ
Π²ΠΎΠ»ΠΎΠΊΠΎΠ½Π½ΠΎ-ΠΎΠΏΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈΠ·ΠΌΠ΅ΡΠΈΡΠ΅Π»ΡΠ½ΡΡ
ΠΏΡΠΈΠ±ΠΎΡΠΎΠ² Ρ ΡΠΊΠ°Π·Π°Π½ΠΈΠ΅ΠΌ ΠΈΡ
ΠΎΡΠ»ΠΈΡΠΈΡΠ΅Π»ΡΠ½ΡΡ
ΠΏΡΠΈΠ·Π½Π°ΠΊΠΎΠ². ΠΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Ρ ΠΈ ΠΏΡΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Ρ ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ°Π»ΡΠ½ΡΠ΅ Π΄Π°Π½Π½ΡΠ΅, ΠΎΡΠ½ΠΎΠ²Π½ΡΠ΅ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠΈ ΠΈ ΠΎΠ±Π»Π°ΡΡΠΈ ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΡ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΡΠ°ΡΠΏΡΠΎΡΡΡΠ°Π½Π΅Π½Π½ΡΡ
Π΄Π°ΡΡΠΈ-ΠΊΠΎΠ². Π Π°ΡΡΠΌΠΎΡΡΠ΅Π½Ρ Π½ΠΎΠ²ΡΠ΅ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄Ρ ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ ΠΏΠΎ ΡΠΎΠ·Π΄Π°Π½ΠΈΡ ΡΠ°Π΄ΠΈΠΎΡΠΎΡΠΎΠ½Π½ΡΡ
ΠΈΠ·ΠΌΠ΅ΡΠΈΡΠ΅Π»ΡΠ½ΡΡ
ΡΠΈΡΡΠ΅ΠΌ ΠΈ ΡΠ»ΡΡΡΠ΅Π½ΠΈΡ ΡΠ°ΠΊΡΠΈΠΊΠΎ-ΡΠ΅Ρ
Π½ΠΈΡΠ΅ΡΠΊΠΈΡ
Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊ ΡΡΡΠ΅ΡΡΠ²ΡΡΡΠΈΡ
ΠΏΡΠΈΠ±ΠΎΡΠΎΠ². ΠΡΠΈΠ²Π΅Π΄Π΅Π½ΠΎ ΡΠΎΠΏΠΎΡΡΠ°Π²Π»Π΅Π½ΠΈΠ΅ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊ ΡΠ°Π΄ΠΈΠΎ-
ΡΠΎΡΠΎΠ½Π½ΡΡ
Π²ΠΎΠ»ΠΎΠΊΠΎΠ½Π½ΠΎ-ΠΎΠΏΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈΠ·ΠΌΠ΅ΡΠΈΡΠ΅Π»ΡΠ½ΡΡ
ΠΏΡΠΈΠ±ΠΎΡΠΎΠ² ΠΈ ΡΡΠ°Π΄ΠΈΡΠΈΠΎΠ½Π½ΡΡ
Π²ΠΎΠ»ΠΎΠΊΠΎΠ½Π½ΠΎ-ΠΎΠΏΡΠΈΡΠ΅ΡΠΊΠΈΡ
Π΄Π°ΡΡΠΈΠΊΠΎΠ², ΠΏΠΎ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ°ΠΌ ΠΊΠΎΡΠΎΡΠΎΠ³ΠΎ ΠΌΠΎΠΆΠ½ΠΎ ΡΠ΄Π΅Π»Π°ΡΡ Π²ΡΠ²ΠΎΠ΄ ΠΎ ΠΏΡΠΈΠΌΠ΅Π½ΠΈΠΌΠΎΡΡΠΈ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΠ³ΠΎ ΡΠΈΠΏΠ° ΠΈΠ·ΠΌΠ΅ΡΠΈΡΠ΅Π»ΡΠ½ΡΡ
ΠΏΡΠΈΠ±ΠΎΡΠΎΠ², Π° ΡΠ°ΠΊΠΆΠ΅ ΠΎ ΠΏΡΠ΅ΠΈΠΌΡΡΠ΅ΡΡΠ²Π°Ρ
ΠΈΡ
ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ ΠΏΠΎ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ Ρ Π΄ΡΡΠ³ΠΈΠΌΠΈ Π²ΠΎΠ»ΠΎΠΊΠΎΠ½Π½ΠΎ-ΠΎΠΏΡΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ Π΄Π°ΡΡΠΈΠΊΠ°ΠΌΠΈ
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