354 research outputs found
Planning the forest transport systems based on the principles of sustainable development of territories
The article identifies a new method of dynamic modeling in the design of the transport system in the forest fund (TSFF), which is based on economic and mathematical modeling and fuzzy logic tools. The combination of the indicated methods is designed to reduce the disadvantages of their use and increase the benefits. The article substantiates the choice of assessing the forecast level of the impact of risks on the activities of forestry enterprises (the method of expert assessments), using the methodological tools of fuzzy logic. The indicated method makes it possible to take into account a large variety of risk factors of the internal and external environment. At the same time, methodological aspects of fuzzy logic make it possible to formulate a quantitative assessment of qualitative indicators. The article substantiates the choice of tools for economic and mathematical modeling in order to state the design problem of the planned TSFF. Since the indicated method enables the formalization of the functioning of the timber transport system in the given conditions. The article presents a developed model that correctly takes into account the influence of risk factors when planning a TSFF, through the combination of fuzzy logic methods and economic and mathematical modeling. The advantages of the developed model include: considering the multivariance of material flows, vehicles, points of overload, etc.; automated processing of input parameters and effective data; using the model for forecasting, i.e. the possibility of deriving a fuzzy estimate of the efficiency of the timber transport system by identifying cause-effect relationships between the modeling object and the influence of risk factors on its functioning. Β© 2019 IOP Publishing Ltd
ΠΠ΅ΡΠΈΠΎΠ΄ΠΈΡΠ΅ΡΠΊΠΈΠ΅ Π²ΡΠΏΠ»Π΅ΡΠΊΠΈ Π½Π° ΠΌΠ½ΠΎΠ³ΠΎΠΌΠ΅ΡΠ½ΠΎΠΉ ΡΡΠ΅ΡΠ΅ ΠΈ ΠΈΡ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ Π΄Π»Ρ Π°ΠΏΠΏΡΠΎΠΊΡΠΈΠΌΠ°ΡΠΈΠΈ ΡΡΠ½ΠΊΡΠΈΠΉ
The authorβs scheme for constructing a multiresolution analysis on a sphere in R3 with respect to the spherical coordinates, which was published in 2019, is extended to spheres in Rn (n β₯ 3). In contrast to other papers, only periodic wavelets on the axis and their tensor products are used. Approximation properties are studied only for the wavelets based on the simplest scalar wavelets of KotelβnikovβMeyer type with the compact support of their Fourier transforms. The implementation of the idea of a smooth continuation of functions from a sphere to 2Ο-periodic functions in the polar coordinates analytically (without the complicated geometric interpretation made by the author earlier in R3) turned out to be very simple. Β© 2020 Krasovskii Institute of Mathematics and Mechanics. All rights reserved
Interpolating wavelets on the sphere
There are several works where bases of wavelets on the sphere (mainly orthogonal and wavelet-like bases) were constructed. In all such constructions, the authors seek to preserve the most important properties of classical wavelets including constructions on the basis of the lifting-scheme. In the present paper, we propose one more construction of wavelets on the sphere. Although two of three systems of wavelets constructed in this paper are orthogonal, we are more interested in their interpolation properties. Our main idea consists in a special double expansion of the unit sphere in R3 such that any continuous function on this sphere defined in spherical coordinates is easily mapped into a 2Ο-periodic function on the plane. After that everything becomes simple, since the classical scheme of the tensor product of one-dimensional bases of functional spaces works to construct bases of spaces of functions of several variables. Β© 2019, Krasovskii Institute of Mathematics and Mechanics of the Ural Branch of Russian Academy of Sciences. All rights reserved
A numerical method for the solution of boundary value problems for a homogeneous equation with the squared Laplace operator with the use of interpolation wavelets
We present an effective numerical method for the recovery of biharmonic functions in a disk from continuous boundary values of these functions and of their normal derivatives using wavelets that are harmonic in the disk and interpolating on its boundary on dyadic rational grids. The expansions of solutions of boundary value problems into cumbersome interpolation series in the wavelet basis are folded into sequences of their partial sums that are compactly presentable in the subspace bases of the corresponding multiresolution analysis (MRA) of Hardy spaces h1(K) of functions harmonic in the disk. Effective estimates are obtained for the approximation of solutions by partial sums of any order in terms of the best approximation of the boundary functions by trigonometric polynomials of a slightly smaller order. As a result, to provide the required accuracy of the representation of the unknown biharmonic functions, one can choose in advance the scaling parameter of the corresponding MRA subspace such that the interpolation projection to this space defines a simple analytic representation of the corresponding partial sums of interpolation series in terms of appropriate compressions and shifts of the scaling functions, skipping complicated iterative procedures for the numerical construction of the coefficients of expansion of the boundary functions into series in interpolation wavelets. We write solutions using interpolation and interpolation-orthogonal wavelets based on modified Meyer wavelets, the last are convenient to apply if the boundary values of the boundary value problem are given approximately, for example, are found experimentally. In this case, one can employ the usual, well-known procedures of discrete orthogonal wavelet transformations for the analysis and refinement (correction) of the boundary values. Β© 2019 Trudy Instituta Matematiki i Mekhaniki UrO RAN. All rights reserved
E2 strengths and transition radii difference of one-phonon 2+ states of 92Zr from electron scattering at low momentum transfer
Background: Mixed-symmetry 2+ states in vibrational nuclei are characterized
by a sign change between dominant proton and neutron valence-shell components
with respect to the fully symmetric 2+ state. The sign can be measured by a
decomposition of proton and neutron transition radii with a combination of
inelastic electron and hadron scattering [C. Walz et al., Phys. Rev. Lett. 106,
062501 (2011)]. For the case of 92Zr, a difference could be experimentally
established for the neutron components, while about equal proton transition
radii were indicated by the data. Method: Differential cross sections for the
excitation of one-phonon 2+ and 3- states in 92Zr have been measured with the
(e,e') reaction at the S-DALINAC in a momentum transfer range q = 0.3-0.6
fm^(-1). Results: Transition strengths B(E2;2+_1 -> 0+_1) = 6.18(23), B(E2;
2+_2 -> 0+_1) = 3.31(10) and B(E3; 3-_1 -> 0+_1) = 18.4(11) Weisskopf units are
determined from a comparison of the experimental cross sections to
quasiparticle-phonon model (QPM) calculations. It is shown that a
model-independent plane wave Born approximation (PWBA) analysis can fix the
ratio of B(E2) transition strengths to the 2+_(1,2) states with a precision of
about 1%. The method furthermore allows to extract their proton transition
radii difference. With the present data -0.12(51) fm is obtained. Conclusions:
Electron scattering at low momentum transfers can provide information on
transition radii differences of one-phonon 2+ states even in heavy nuclei.
Proton transition radii for the 2+_(1,2) states in 92Zr are found to be
identical within uncertainties. The g.s. transition probability for the
mixed-symmetry state can be determined with high precision limited only by the
available experimental information on the B(E2; 2+_1 -> 0+_1) value.Comment: 14 pages, 5 figures, submitted to Phys. Rev. C, revised manuscrip
ΠΠΈΠΊΠΎΡΠΈΡΡΠ°Π½Π½Ρ Π°Π»ΡΡΠ°ΡΠΈΡΠ½ΠΈΡ Π°Π»ΡΠ΄Π΅Π³ΡΠ΄ΡΠ² Ρ ΡΠΈΠ½ΡΠ΅Π·Ρ Π½ΠΎΠ²ΠΈΡ 1H-2,1-Π±Π΅Π½Π·ΠΎΡΡΠ°Π·ΠΈΠ½-4-ΠΎΠ½ 2,2-Π΄ΡΠΎΠΊΡΠΈΠ΄ΡΠ², ΠΊΠΎΠ½Π΄Π΅Π½ΡΠΎΠ²Π°Π½ΠΈΡ Π· ΠΏΡΡΠ°Π½ΠΎΠ²ΠΈΠΌ ΡΠ΄ΡΠΎΠΌ Π·Π° Π΄ΠΎΠΏΠΎΠΌΠΎΠ³ΠΎΡ Π΄ΠΎΠΌΡΠ½ΠΎ-Π²Π·Π°ΡΠΌΠΎΠ΄ΡΠΉ. ΠΠ½ΡΠΈΠΌΡΠΊΡΠΎΠ±Π½Π° Π°ΠΊΡΠΈΠ²Π½ΡΡΡΡ ΡΠΈΠ½ΡΠ΅Π·ΠΎΠ²Π°Π½ΠΈΡ ΡΠΏΠΎΠ»ΡΠΊ
Domino-type Knoevenagel-Michael-hetero-Thorpe-Ziegler and Knoevenagel-hetero-Diels-Alder interactions using 1-ethyl-1H-2,1-benzothiazin-4(3H)-one 2,2-dioxide and aliphatic aldehydes as initial compounds have been studied. These reactions have led to 2-amino-3-cyano-4H-pyran and 2H-3,4-dihydropyran derivatives, respectively. It has been shown that the three-component one-pot interaction of 1-ethyl-1H-2,1-benzothiazin-4(3H)one 2,2-dioxide with saturated aliphatic aldehydes and malononitrile proceeds under rather mild conditions and results in formation of 2-amino-6-ethyl-4-alkyl-4,6-dihydropyrano[3,2-c][2,1]benzothiazin-3-carbonitrile 5,5-dioxides with moderate and high yields. At the same time, the yields of target products decrease with the increase of the length of the aliphatic aldehyde carbon chain. In this regard, the use of citronellal allowed us to obtain the product of the three-component interaction with a low yield. To date, there is no information in the literature about the possible application of aliphatic dialdehydes in such three-component interactions. It has been found that the use of glutaric aldehyde results in the synthesis of a new class of bis-derivatives of 2-amino-4H-pyran, in which two fragments are linked by the polymethylene bridge. The use of Ξ±,Ξ²-unsaturated aldehydes in the three-component interaction with 1-ethyl-1H-2,1-benzothiazin-4(3H)-one 2,2-dioxide and malononitrile was accompanied by decrease in the process efficiency compared to saturated aliphatic aldehydes. The target fused 2-amino-3-cyano-4H-pyran was obtained only when Ξ±-methylcinnamic aldehyde was used in the reaction. A two-component interaction of 1-ethyl-1H-2,1-benzothiazin-4(3H)-one 2,2-dioxide with citronellal has been also studied. It has been shown that this reaction is stereospecific. It proceeds through domino Knoevenagel-heteroDiels-Alder sequence resulting in a new heterocyclic system β 2,2a,3,4,5,6,6a,8-octahydroisochromeno[4,3-c] [2,1]benzothiazine 7,7-dioxide. The study of the antimicrobial activity of the compounds synthesized has allowed finding compounds with a moderate activity against P. aeruginosa Ρ C. albicans.ΠΠ·ΡΡΠ΅Π½Ρ Π΄ΠΎΠΌΠΈΠ½ΠΎ-Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΠΈΡ ΠΠ½Π΅Π²Π΅Π½Π°Π³Π΅Π»Ρ-ΠΠΈΡ
Π°ΡΠ»Ρ-Π³Π΅ΡΠ΅ΡΠΎ-Π’ΠΎΡΠΏΠ°-Π¦ΠΈΠ³Π»Π΅ΡΠ° ΠΈ ΠΠ½Π΅Π²Π΅Π½Π°Π³Π΅Π»Ρ-Π³Π΅ΡΠ΅ΡΠΎ-ΠΠΈΠ»ΡΡΠ°-ΠΠ»ΡΠ΄Π΅ΡΠ° Ρ ΡΡΠ°ΡΡΠΈΠ΅ΠΌ 1-ΡΡΠΈΠ»-2,1-Π±Π΅Π½Π·ΠΎΡΠΈΠ°Π·ΠΈΠ½-4(3Π)-ΠΎΠ½ 2,2-Π΄ΠΈΠΎΠΊΡΠΈΠ΄Π° ΠΈ Π°Π»ΠΈΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΡ
Π°Π»ΡΠ΄Π΅Π³ΠΈΠ΄ΠΎΠ², ΠΏΡΠΈΠ²ΠΎΠ΄ΡΡΠΈΡ
ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²Π΅Π½Π½ΠΎ ΠΊ ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΡ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄Π½ΡΡ
2-Π°ΠΌΠΈΠ½ΠΎ-3-ΡΠΈΠ°Π½ΠΎ-4Π-ΠΏΠΈΡΠ°Π½Π° ΠΈ 2Π-3,4-Π΄ΠΈΠ³ΠΈΠ΄ΡΠΎΠΏΠΈΡΠ°Π½Π°. ΠΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΡΠΎ ΡΡΠ΅Ρ
ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½ΡΠ½ΠΎΠ΅ ΠΎΠ΄Π½ΠΎΡΡΠ°Π΄ΠΈΠΉΠ½ΠΎΠ΅ Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΠΈΠ΅ 1-ΡΡΠΈΠ»-2,1-Π±Π΅Π½Π·ΠΎΡΠΈΠ°Π·ΠΈΠ½-4(3Π)-ΠΎΠ½ 2,2-Π΄ΠΈΠΎΠΊΡΠΈΠ΄Π° Ρ Π½Π°ΡΡΡΠ΅Π½Π½ΡΠΌΠΈ Π°Π»ΠΈΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ Π°Π»ΡΠ΄Π΅Π³ΠΈΠ΄Π°ΠΌΠΈ ΠΈ ΠΌΠ°Π»ΠΎΠ½ΠΎΠ΄ΠΈΠ½ΠΈΡΡΠΈΠ»ΠΎΠΌ ΠΏΡΠΎΡΠ΅ΠΊΠ°Π΅Ρ Π² ΠΎΡΠ΅Π½Ρ ΠΌΡΠ³ΠΊΠΈΡ
ΡΡΠ»ΠΎΠ²ΠΈΡΡ
ΠΈ ΠΏΡΠΈΠ²ΠΎΠ΄ΠΈΡ ΠΊ ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΡ 2-Π°ΠΌΠΈΠ½ΠΎ-6-ΡΡΠΈΠ»-4-Π°Π»ΠΊΠΈΠ»-4,6-Π΄ΠΈΠ³ΠΈΠ΄ΡΠΎΠΏΠΈΡΠ°Π½ΠΎ[3,2-c][2,1]Π±Π΅Π½Π·ΠΎΡΠΈΠ°Π·ΠΈΠ½-3-ΠΊΠ°ΡΠ±ΠΎΠ½ΠΈΡΡΠΈΠ» 5,5-Π΄ΠΈΠΎΠΊΡΠΈΠ΄ΠΎΠ² Ρ Π²ΡΡΠΎΠΊΠΈΠΌΠΈ ΠΈ ΡΠΌΠ΅ΡΠ΅Π½Π½ΡΠΌΠΈ Π²ΡΡ
ΠΎΠ΄Π°ΠΌΠΈ. Π ΡΠΎ ΠΆΠ΅ Π²ΡΠ΅ΠΌΡ ΡΠ²Π΅Π»ΠΈΡΠ΅Π½ΠΈΠ΅ Π΄Π»ΠΈΠ½Ρ ΡΠ³Π»Π΅ΡΠΎΠ΄Π½ΠΎΠΉ ΡΠ΅ΠΏΠΈ Π°Π»ΠΈΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΡ
Π°Π»ΡΠ΄Π΅Π³ΠΈΠ΄ΠΎΠ² ΠΏΡΠΈΠ²ΠΎΠ΄ΠΈΡ ΠΊ ΡΠΌΠ΅Π½ΡΡΠ΅Π½ΠΈΡ Π²ΡΡ
ΠΎΠ΄Π° ΡΠ΅Π»Π΅Π²ΡΡ
ΠΏΡΠΎΠ΄ΡΠΊΡΠΎΠ². Π’Π°ΠΊ, ΠΏΡΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠΈ ΡΠΈΡΡΠΎΠ½Π΅Π»Π»Π°Π»Ρ ΠΏΡΠΎΠ΄ΡΠΊΡ ΡΡΠ΅Ρ
ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½ΡΠ½ΠΎΠ³ΠΎ Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΠΈΡ ΡΠ΄Π°Π»ΠΎΡΡ ΠΏΠΎΠ»ΡΡΠΈΡΡ ΡΠΎΠ»ΡΠΊΠΎ Ρ Π½Π΅Π²ΡΡΠΎΠΊΠΈΠΌ Π²ΡΡ
ΠΎΠ΄ΠΎΠΌ. ΠΠ»ΠΈΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ Π΄ΠΈΠ°Π»ΡΠ΄Π΅Π³ΠΈΠ΄Ρ Π½Π΅ Π±ΡΠ»ΠΈ ΡΠ°Π½Π΅Π΅ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½Ρ Π² Π΄Π°Π½Π½ΡΡ
Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΠΈΡΡ
; ΠΏΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΡΠΎ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ Π³Π»ΡΡΠ°ΡΠΎΠ²ΠΎΠ³ΠΎ Π°Π»ΡΠ΄Π΅Π³ΠΈΠ΄Π° ΠΏΡΠΈΠ²ΠΎΠ΄ΠΈΡ ΠΊ Π½ΠΎΠ²ΠΎΠΌΡ ΠΊΠ»Π°ΡΡΡ Π±ΠΈΡ-ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄Π½ΡΡ
2-Π°ΠΌΠΈΠ½ΠΎ-4Π-ΠΏΠΈΡΠ°Π½Π°, Π² ΠΊΠΎΡΠΎΡΠΎΠΌ ΡΡΠ°Π³ΠΌΠ΅Π½ΡΡ ΡΠΎΠ΅Π΄ΠΈΠ½Π΅Π½Ρ ΠΏΠΎΠ»ΠΈΠΌΠ΅ΡΠΈΠ»Π΅Π½ΠΎΠ²ΡΠΌ ΠΌΠΎΡΡΠΈΠΊΠΎΠΌ. ΠΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ Ξ±,Ξ²-Π½Π΅Π½Π°ΡΡΡΠ΅Π½Π½ΡΡ
Π°Π»ΡΠ΄Π΅Π³ΠΈΠ΄ΠΎΠ² Π² ΡΡΠ΅Ρ
ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½ΡΠ½ΠΎΠΌ Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΠΈΠΈ Ρ 1-ΡΡΠΈΠ»-2,1-Π±Π΅Π½Π·ΠΎΡΠΈΠ°Π·ΠΈΠ½-4(3Π)-ΠΎΠ½ 2,2-Π΄ΠΈΠΎΠΊΡΠΈΠ΄ΠΎΠΌ ΠΈ ΠΌΠ°Π»ΠΎΠ½ΠΎΠ΄ΠΈΠ½ΠΈΡΡΠΈΠ»ΠΎΠΌ ΡΠΎΠΏΡΠΎΠ²ΠΎΠΆΠ΄Π°Π»ΠΎΡΡ ΡΠΌΠ΅Π½ΡΡΠ΅Π½ΠΈΠ΅ΠΌ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ ΠΏΡΠΎΡΠ΅ΡΡΠ° ΠΏΠΎ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ Ρ Π½Π°ΡΡΡΠ΅Π½Π½ΡΠΌΠΈ Π°Π»ΠΈΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ Π°Π»ΡΠ΄Π΅Π³ΠΈΠ΄Π°ΠΌΠΈ. Π¦Π΅Π»Π΅Π²ΠΎΠΉ ΠΏΡΠΎΠ΄ΡΠΊΡ Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΠΈΡ ΠΊΠΎΠ½Π΄Π΅Π½ΡΠΈΡΠΎΠ²Π°Π½Π½ΡΠΉ 2-Π°ΠΌΠΈΠ½ΠΎ-3-ΡΠΈΠ°Π½ΠΎ-4Π-ΠΏΠΈΡΠ°Π½ Π±ΡΠ» ΠΏΠΎΠ»ΡΡΠ΅Π½ ΡΠΎΠ»ΡΠΊΠΎ Π² ΡΠ»ΡΡΠ°Π΅ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΡ Ξ±-ΠΌΠ΅ΡΠΈΠ»ΠΊΠΎΡΠΈΡΠ½ΠΎΠ³ΠΎ Π°Π»ΡΠ΄Π΅Π³ΠΈΠ΄Π°. ΠΠ·ΡΡΠ΅Π½ΠΎ Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΠΈΠ΅ ΠΌΠ΅ΠΆΠ΄Ρ 1-ΡΡΠΈΠ»-2,1-Π±Π΅Π½Π·ΠΎΡΠΈΠ°Π·ΠΈΠ½-4(3Π)-ΠΎΠ½ 2,2-Π΄ΠΈΠΎΠΊΡΠΈΠ΄ΠΎΠΌ ΠΈ ΡΠΈΡΡΠΎΠ½Π΅Π»Π»Π°Π»Π΅ΠΌ; ΠΏΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΡΠΎ Π΄Π°Π½Π½Π°Ρ ΡΠ΅Π°ΠΊΡΠΈΡ ΠΏΡΠΎΡΠ΅ΠΊΠ°Π΅Ρ ΠΈΡΠΊΠ»ΡΡΠΈΡΠ΅Π»ΡΠ½ΠΎ ΠΊΠ°ΠΊ ΡΡΠ΅ΡΠ΅ΠΎ-ΡΠΏΠ΅ΡΠΈΡΠΈΡΠ½ΠΎΠ΅ Π΄ΠΎΠΌΠΈΠ½ΠΎ-Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΠΈΠ΅ ΠΠ½Π΅Π²Π΅Π½Π°Π³Π΅Π»Ρ-Π³Π΅ΡΠ΅ΡΠΎ-ΠΠΈΠ»ΡΡΠ°-ΠΠ»ΡΠ΄Π΅ΡΠ° ΠΈ ΠΏΡΠΈΠ²ΠΎΠ΄ΠΈΡ ΠΊ ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΡ Π½ΠΎΠ²ΠΎΠΉ Π³Π΅ΡΠ΅ΡΠΎΡΠΈΠΊΠ»ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ β 2,2a,3,4,5,6,6a,8-ΠΎΠΊΡΠ°Π³ΠΈΠ΄ΡΠΎΠΈΠ·ΠΎΡ
ΡΠΎΠΌΠ΅Π½ΠΎ[4,3-c][2,1]Π±Π΅Π½Π·ΠΎΡΠΈΠ°Π·ΠΈΠ½ 7,7-Π΄ΠΈΠΎΠΊΡΠΈΠ΄Π°. ΠΠ·ΡΡΠ΅Π½ΠΈΠ΅ Π°Π½ΡΠΈΠΌΠΈΠΊΡΠΎΠ±Π½ΠΎΠΉ Π°ΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ ΡΠΈΠ½ΡΠ΅Π·ΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
ΡΠΎΠ΅Π΄ΠΈΠ½Π΅Π½ΠΈΠΉ ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠ»ΠΎ ΠΎΠ±Π½Π°ΡΡΠΆΠΈΡΡ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄Π½ΡΠ΅, ΠΏΡΠΎΡΠ²Π»ΡΡΡΠΈΠ΅ ΡΠΌΠ΅ΡΠ΅Π½Π½ΡΡ Π°ΠΊΡΠΈΠ²Π½ΠΎΡΡΡ ΠΏΡΠΎΡΠΈΠ² P. aeruginosa ΠΈ C. albicansΠΠΈΠ²ΡΠ΅Π½Ρ Π΄ΠΎΠΌΡΠ½ΠΎ-Π²Π·Π°ΡΠΌΠΎΠ΄ΡΡ ΠΠ½ΡΠΎΠ²Π΅Π½Π°Π³Π΅Π»Ρ-ΠΡΡ
Π°Π΅Π»Ρ-Π³Π΅ΡΠ΅ΡΠΎ-Π’ΠΎΡΠΏΠ°-Π¦ΡΠ³Π»Π΅ΡΠ° ΡΠ° ΠΠ½ΡΠΎΠ²Π΅Π½Π°Π³Π΅Π»Ρ-Π³Π΅ΡΠ΅ΡΠΎ-ΠΡΠ»ΡΡΠ°-ΠΠ»ΡΠ΄Π΅ΡΠ° Π·Π° ΡΡΠ°ΡΡΡ 1-Π΅ΡΠΈΠ»-1Π-2,1-Π±Π΅Π½Π·ΠΎΡΡΠ°Π·ΠΈΠ½-4(3Π)-ΠΎΠ½Ρ 2,2-Π΄ΡΠΎΠΊΡΠΈΠ΄Ρ ΡΠ° Π°Π»ΡΡΠ°ΡΠΈΡΠ½ΠΈΡ
Π°Π»ΡΠ΄Π΅Π³ΡΠ΄ΡΠ², ΡΠΎ ΠΏΡΠΈΠ²ΠΎΠ΄ΡΡΡ Π΄ΠΎ ΡΡΠ²ΠΎΡΠ΅Π½Π½Ρ Π²ΡΠ΄ΠΏΠΎΠ²ΡΠ΄Π½ΠΎ ΠΏΠΎΡ
ΡΠ΄Π½ΠΈΡ
2-Π°ΠΌΡΠ½ΠΎ-3-ΡΡΠ°Π½ΠΎ-4Π-ΠΏΡΡΠ°Π½Ρ ΡΠ° 2Π-3,4-Π΄ΠΈΠ³ΡΠ΄ΡΠΎΠΏΡΡΠ°Π½Ρ. ΠΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΠΎ ΡΡΠΈΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½ΡΠ½Π° ΠΎΠ΄Π½ΠΎΡΡΠ°Π΄ΡΠΉΠ½Π° Π²Π·Π°ΡΠΌΠΎΠ΄ΡΡ 1-Π΅ΡΠΈΠ»-1Π-2,1-Π±Π΅Π½Π·ΠΎΡΡΠ°Π·ΠΈΠ½-4(3Π)-ΠΎΠ½Ρ 2,2-Π΄ΡΠΎΠΊΡΠΈΠ΄Ρ Π· Π½Π°ΡΠΈΡΠ΅Π½ΠΈΠΌΠΈ Π°Π»ΡΡΠ°ΡΠΈΡΠ½ΠΈΠΌΠΈ Π°Π»ΡΠ΄Π΅Π³ΡΠ΄Π°ΠΌΠΈ Ρ ΠΌΠ°Π»ΠΎΠ½ΠΎΠ΄ΠΈΠ½ΡΡΡΠΈΠ»ΠΎΠΌ ΠΏΠ΅ΡΠ΅Π±ΡΠ³Π°Ρ Ρ Π΄ΡΠΆΠ΅ ΠΌβΡΠΊΠΈΡ
ΡΠΌΠΎΠ²Π°Ρ
Ρ ΠΏΡΠΈΠ²ΠΎΠ΄ΠΈΡΡ Π΄ΠΎ ΡΡΠ²ΠΎΡΠ΅Π½Π½Ρ 2-Π°ΠΌΡΠ½ΠΎ-6-Π΅ΡΠΈΠ»-4-Π°Π»ΠΊΡΠ»-4,6-Π΄ΠΈΠ³ΡΠ΄ΡΠΎΠΏΡΡΠ°Π½ΠΎ[3,2 c][2,1]Π±Π΅Π½Π·ΠΎΡΡΠ°Π·ΠΈΠ½-3-ΠΊΠ°ΡΠ±ΠΎΠ½ΡΡΡΠΈΠ» 5,5-Π΄ΡΠΎΠΊΡΠΈΠ΄ΡΠ² Π· Π²ΠΈΡΠΎΠΊΠΈΠΌΠΈ ΡΠ° ΠΏΠΎΠΌΡΡΠ½ΠΈΠΌΠΈ Π²ΠΈΡ
ΠΎΠ΄Π°ΠΌΠΈ. Π£ ΡΠΎΠΉ ΠΆΠ΅ ΡΠ°Ρ Π·Π±ΡΠ»ΡΡΠ΅Π½Π½Ρ Π΄ΠΎΠ²ΠΆΠΈΠ½ΠΈ Π²ΡΠ³Π»Π΅ΡΠ΅Π²ΠΎΠ³ΠΎ Π»Π°Π½ΡΡΠ³Π° Π°Π»ΡΡΠ°ΡΠΈΡΠ½ΠΎΠ³ΠΎ Π°Π»ΡΠ΄Π΅Π³ΡΠ΄Ρ ΠΏΡΠΈΠ²ΠΎΠ΄ΠΈΡΡ Π΄ΠΎ Π·ΠΌΠ΅Π½ΡΠ΅Π½Π½Ρ Π²ΠΈΡ
ΠΎΠ΄Ρ ΡΡΠ»ΡΠΎΠ²ΠΈΡ
ΠΏΡΠΎΠ΄ΡΠΊΡΡΠ². Π’Π°ΠΊ, ΠΏΡΠΈ Π²ΠΈΠΊΠΎΡΠΈΡΡΠ°Π½Π½Ρ ΡΠΈΡΡΠΎΠ½Π΅Π»Π°Π»Ρ ΠΏΡΠΎΠ΄ΡΠΊΡ ΡΡΠΈΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½ΡΠ½ΠΎΡ Π²Π·Π°ΡΠΌΠΎΠ΄ΡΡ Π²Π΄Π°Π»ΠΎΡΡ ΠΎΠ΄Π΅ΡΠΆΠ°ΡΠΈ ΡΡΠ»ΡΠΊΠΈ Π· Π½Π΅Π²ΠΈΡΠΎΠΊΠΈΠΌ Π²ΠΈΡ
ΠΎΠ΄ΠΎΠΌ. ΠΠ»ΡΡΠ°ΡΠΈΡΠ½Ρ Π΄ΡΠ°Π»ΡΠ΄Π΅Π³ΡΠ΄ΠΈ Π½Π΅ Π±ΡΠ»ΠΈ ΡΠ°Π½ΡΡΠ΅ Π²ΠΈΠΊΠΎΡΠΈΡΡΠ°Π½Ρ Ρ Π΄Π°Π½ΠΈΡ
Π²Π·Π°ΡΠΌΠΎΠ΄ΡΡΡ
; ΠΏΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΠΎ Π²ΠΈΠΊΠΎΡΠΈΡΡΠ°Π½Π½Ρ Π³Π»ΡΡΠ°ΡΠΎΠ²ΠΎΠ³ΠΎ Π°Π»ΡΠ΄Π΅Π³ΡΠ΄Ρ Π΄ΠΎΠ·Π²ΠΎΠ»ΡΡ ΠΎΡΡΠΈΠΌΠ°ΡΠΈ Π½ΠΎΠ²ΠΈΠΉ ΠΊΠ»Π°Ρ Π±ΡΡ-ΠΏΠΎΡ
ΡΠ΄Π½ΠΈΡ
2-Π°ΠΌΡΠ½ΠΎ-4Π-ΠΏΡΡΠ°Π½Ρ, Π² ΡΠΊΠΎΠΌΡ ΡΡΠ°Π³ΠΌΠ΅Π½ΡΠΈ Π·βΡΠ΄Π½Π°Π½Ρ ΠΏΠΎΠ»ΡΠΌΠ΅ΡΠΈΠ»Π΅Π½ΠΎΠ²ΠΈΠΌ ΠΌΡΡΡΠΊΠΎΠΌ. ΠΠΈΠΊΠΎΡΠΈΡΡΠ°Π½Π½Ρ Ξ±,Ξ²-Π½Π΅Π½Π°ΡΠΈΡΠ΅Π½ΠΈΡ
Π°Π»ΡΠ΄Π΅Π³ΡΠ΄ΡΠ² Ρ ΡΡΠΈΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½ΡΠ½ΡΠΉ Π²Π·Π°ΡΠΌΠΎΠ΄ΡΡ Π· 1-Π΅ΡΠΈΠ»-1Π-2,1-Π±Π΅Π½Π·ΠΎΡΡΠ°Π·ΠΈΠ½-4(3Π)-ΠΎΠ½Ρ 2,2-Π΄ΡΠΎΠΊΡΠΈΠ΄ΠΎΠΌ Ρ ΠΌΠ°Π»ΠΎΠ½ΠΎΠ΄ΠΈΠ½ΡΡΡΠΈΠ»ΠΎΠΌ ΡΡΠΏΡΠΎΠ²ΠΎΠ΄ΠΆΡΠ²Π°Π»ΠΎΡΡ Π·ΠΌΠ΅Π½ΡΠ΅Π½Π½ΡΠΌ Π΅ΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΡ ΠΏΡΠΎΡΠ΅ΡΡ Π² ΠΏΠΎΡΡΠ²Π½ΡΠ½Π½Ρ Π· Π½Π°ΡΠΈΡΠ΅Π½ΠΈΠΌΠΈ Π°Π»ΡΡΠ°ΡΠΈΡΠ½ΠΈΠΌΠΈ Π°Π»ΡΠ΄Π΅Π³ΡΠ΄Π°ΠΌΠΈ. Π¦ΡΠ»ΡΠΎΠ²ΠΈΠΉ ΠΏΡΠΎΠ΄ΡΠΊΡ Π²Π·Π°ΡΠΌΠΎΠ΄ΡΡ ΠΊΠΎΠ½Π΄Π΅Π½ΡΠΎΠ²Π°Π½ΠΈΠΉ 2-Π°ΠΌΡΠ½ΠΎ-3-ΡΡΠ°Π½ΠΎ-4Π-ΠΏΡΡΠ°Π½ Π±ΡΠ² ΠΎΡΡΠΈΠΌΠ°Π½ΠΈΠΉ ΡΡΠ»ΡΠΊΠΈ Ρ Π²ΠΈΠΏΠ°Π΄ΠΊΡ Π·Π°ΡΡΠΎΡΡΠ²Π°Π½Π½Ρ Ξ±-ΠΌΠ΅ΡΠΈΠ»ΠΊΠΎΡΠΈΡΠ½ΠΎΠ³ΠΎ Π°Π»ΡΠ΄Π΅Π³ΡΠ΄Ρ. ΠΠΈΠ²ΡΠ΅Π½Π° Π²Π·Π°ΡΠΌΠΎΠ΄ΡΡ ΠΌΡΠΆ 1-Π΅ΡΠΈΠ»-1Π-2,1-Π±Π΅Π½Π·ΠΎΡΡΠ°Π·ΠΈΠ½-4(3Π)-ΠΎΠ½Ρ 2,2-Π΄ΡΠΎΠΊΡΠΈΠ΄ΠΎΠΌ Ρ ΡΠΈΡΡΠΎΠ½Π΅Π»Π°Π»Π΅ΠΌ; ΠΏΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΠΎ ΡΠ°ΠΊΠ° ΡΠ΅Π°ΠΊΡΡΡ ΠΏΠ΅ΡΠ΅Π±ΡΠ³Π°Ρ Π²ΠΈΠ½ΡΡΠΊΠΎΠ²ΠΎ ΡΠΊ ΡΡΠ΅ΡΠ΅ΠΎΡΠΏΠ΅ΡΠΈΡΡΡΠ½Π° Π΄ΠΎΠΌΡΠ½ΠΎ-Π²Π·Π°ΡΠΌΠΎΠ΄ΡΡ ΠΠ½ΡΠΎΠ²Π΅Π½Π°Π³Π΅Π»Ρ-Π³Π΅ΡΠ΅ΡΠΎ-ΠΡΠ»ΡΡΠ°-ΠΠ»ΡΠ΄Π΅ΡΠ° Ρ ΠΏΡΠΈΠ²ΠΎΠ΄ΠΈΡΡ Π΄ΠΎ ΡΡΠ²ΠΎΡΠ΅Π½Π½Ρ Π½ΠΎΠ²ΠΎΡ Π³Π΅ΡΠ΅ΡΠΎΡΠΈΠΊΠ»ΡΡΠ½ΠΎΡ ΡΠΈΡΡΠ΅ΠΌΠΈ β 2,2a,3,4,5,6,6a,8-ΠΎΠΊΡΠ°Π³ΡΠ΄ΡΠΎΡΠ·ΠΎΡ
ΡΠΎΠΌΠ΅Π½ΠΎ[4,3-c][2,1]Π±Π΅Π½Π·ΠΎΡΡΠ°Π·ΠΈΠ½ 7,7-Π΄ΡΠΎΠΊΡΠΈΠ΄Ρ. ΠΠΈΠ²ΡΠ΅Π½Π½Ρ Π°Π½ΡΠΈΠΌΡΠΊΡΠΎΠ±Π½ΠΎΡ Π°ΠΊΡΠΈΠ²Π½ΠΎΡΡΡ ΡΠΈΠ½ΡΠ΅Π·ΠΎΠ²Π°Π½ΠΈΡ
ΡΠΏΠΎΠ»ΡΠΊ Π΄ΠΎΠ·Π²ΠΎΠ»ΠΈΠ»ΠΎ Π²ΠΈΡΠ²ΠΈΡΠΈ ΠΏΠΎΡ
ΡΠ΄Π½Ρ, ΡΠΎ ΠΏΡΠΎΡΠ²Π»ΡΡΡΡ ΠΏΠΎΠΌΡΡΠ½Ρ Π°ΠΊΡΠΈΠ²Π½ΡΡΡΡ ΠΏΡΠΎΡΠΈ P. aeruginosa Ρ C. albicans
New Method of Reflector Surface Shaping to Produce a Prescribed Contour Beam
In this paper a simple iterative synthesis method is presented for the formation of the shape of the reflector surface with a single feed element to produce the desired contour beam. This is the method of the optimal phase synthesis of the appropriate field in the reflector aperture similar to other works. But unlike them, we solve the problem in a very simple way using the properties of complex-valued functions and Fourier transforms and not applying complicated methods of numerical minimization theory.This work was supported by the Program for State Support of Leading Scientific Schools of the Russian Federation (projectno.NSh-9356.2016.1) and by RAS Presidium programm βMathematical Problems of Modern Control Theoryβ.The authors are grateful to N.A. Baraboshkina for collaboration in the work on this paper
A New Algorithm for Analysis of Experimental MΓΆssbauer Spectra
A new approach to analyze the nuclear gamma resonance (NGR) spectra is presented and justified in the paper. The algorithm successively spots the Lorentz lines in the experimental spectrum by a certain optimization procedures. In MΓΆssbauer spectroscopy, the primary analysis is based on the representation of the transmission integral of an experimental spectrum by the sum of Lorentzians. In the general case, a number of lines and values of parameters in Lorentzians are unknown. The problem is to find them. In practice, before the experimental data processing, one elaborates a model of the MΓΆssbauer spectrum. Such a model is usually based on some additional information. Taking into account physical restrictions, one forms the shape of the lines which are close to the normalized experimental MΓΆssbauer spectrum. This is done by choosing the remaining free parameters of the model. However, this approach does not guarantee a proper model. A reasonable way to construct a structural NGR spectrum decomposition should be based on its model-free analysis. Some model-free methods of the NGR spectra analysis have been implemented in a number of known algorithms. Each of these methods is useful but has a limited range of application. In fact, the previously known algorithms did not react to hardly noticeable primary features of the experimental spectrum, but identify the dominant components only. In the proposed approach, the difference between the experimental spectrum and the known already determined part of the spectral structure defines the next Lorentzian. This method is effective for isolation of fine details of the spectrum, although it requires a well-elaborated algorithmic procedure presented in this paper
OMPEGAS: Optimized Relativistic Code for Multicore Architecture
The paper presents a new hydrodynamical code, OMPEGAS, for the 3D simulation of astrophysical flows on shared memory architectures. It provides a numerical method for solving the three-dimensional equations of the gravitational hydrodynamics based on Godunovβs method for solving the Riemann problem and the piecewise parabolic approximation with a local stencil. It obtains a high order of accuracy and low dissipation of the solution. The code is implemented for multicore processors with vector instructions using the OpenMP technology, Intel SDLT library, and compiler auto-vectorization tools. The model problem of simulating a star explosion was used to study the developed code. The experiments show that the presented code reproduces the behavior of the explosion correctly. Experiments for the model problem with a grid size of (Formula presented.) were performed on an 16-core Intel Core i9-12900K CPU to study the efficiency and performance of the developed code. By using the autovectorization, we achieved a 3.3-fold increase in speed in comparison with the non-vectorized program on the processor with AVX2 support. By using multithreading with OpenMP, we achieved an increase in speed of 2.6 times on a 16-core processor in comparison with the vectorized single-threaded program. The total increase in speed was up to ninefold. Β© 2022 by the authors.Russian Science Foundation,Β RSF: 18-11-00044The work of the third author (I.M.K.) and fourth author (I.G.C.) was supported by the Russian Science Foundation (project no. 18-11-00044). The first author (E.N.A.) and second author (V.E.M.) received no external funding
Consistent alpha-cluster description of the 12C (0^+_2) resonance
The near-threshold 12C (0^+_2) resonance provides unique possibility for fast
helium burning in stars, as predicted by Hoyle to explain the observed
abundance of elements in the Universe. Properties of this resonance are
calculated within the framework of the alpha-cluster model whose two-body and
three-body effective potentials are tuned to describe the alpha - alpha
scattering data, the energies of the 0^+_1 and 0^+_2 states, and the
0^+_1-state root-mean-square radius. The extremely small width of the 0^+_2
state, the 0_2^+ to 0_1^+ monopole transition matrix element, and transition
radius are found in remarkable agreement with the experimental data. The
0^+_2-state structure is described as a system of three alpha-particles
oscillating between the ground-state-like configuration and the elongated chain
configuration whose probability exceeds 0.9
- β¦