50 research outputs found
An Evolutionary Framework for Determining Heterogeneous Strategies in Multi-Agent Marketplaces
We propose an evolutionary approach for studying the dynamics of interaction of strategic agents that interact in a marketplace. The goal is to learn which agent strategies are most suited by observing the distribution of the agents that survive in the market over extended periods of time. We present experimental results from a simulated market, where multiple service providers compete for customers using different deployment and pricing schemes. The results show that heterogeneous strategies evolve and co-exist in the same market.marketing;simulation;multi-agent systems;complexity economics;trading agents
An interdisciplinary approach to the study of the concept of value
We have studied the essence of the concept of value from the viewpoints of various disciplines and clarified its conceptual content. The essence of this concept is explained based on the principle of interdisciplinarity. In particular, this concept is defined and described within the framework of anthropology, philosophy, sociology, psychology, linguistics, and is characterized according to the fields of these sciences, and its conceptual content is consequently determined. The conceptual content of this notion is studied as a basic category that is an integral part of a person and his life, regardless of the field or object of science. We can note that value is an object of investigation of a wide varieties of disciplines on account of its importance in the life of a person. We claim that its interdisciplinary character can be substantiated by the following facts that values can be the basis for the formation of theories within various spheres of social life and they regulate social relations in the society as well as evaluate objects, phenomena, activities of the people of the society accordingly. It is reflected in language as a means of representing axiological information on people, their actions, objects, phenomena and etc
Double-spiral magnetic structure of the Fe/Cr multilayer revealed by nuclear resonance scattering
We have studied the magnetization depth profiles in a [57Fe(dFe)/Cr(dCr)]x30
multilayer with ultrathin Fe layers and nominal thickness of the chromium
spacers dCr 2.0 nm using nuclear resonance scattering of synchrotron radiation.
The presence of a broad pure-magnetic half-order (1/2) Bragg reflection has
been detected at zero external field. The joint fit of the reflectivity curves
and Mossbauer spectra of reflectivity measured near the critical angle and at
the "magnetic" peak reveals that the magnetic structure of the multilayer is
formed by two spirals, one in the odd and another one in the even iron layers,
with the opposite signs of rotation. The double-spiral structure starts from
the surface with the almost antiferromagnetic alignment of the adjacent Fe
layers. The rotation of the two spirals leads to nearly ferromagnetic alignment
of the two magnetic subsystems at some depth, where the sudden turn of the
magnetic vectors by ~180 deg (spin-flop) appears, and both spirals start to
rotate in opposite directions. The observation of this unusual double-spiral
magnetic structure suggests that the unique properties of giant
magneto-resistance devices can be further tailored using ultrathin magnetic
layers.Comment: 9 pages, 3 figure
Deconvolution problems in x-ray absorption fine structure
A Bayesian method application to the deconvolution of EXAFS spectra is
considered. It is shown that for purposes of EXAFS spectroscopy, from the
infinitely large number of Bayesian solutions it is possible to determine an
optimal range of solutions, any one from which is appropriate. Since this
removes the requirement for the uniqueness of solution, it becomes possible to
exclude the instrumental broadening and the lifetime broadening from EXAFS
spectra. In addition, we propose several approaches to the determination of
optimal Bayesian regularization parameter. The Bayesian deconvolution is
compared with the deconvolution which uses the Fourier transform and optimal
Wiener filtering. It is shown that XPS spectra could be in principle used for
extraction of a one-electron absorptance. The amplitude correction factors
obtained after deconvolution are considered and discussed.Comment: 6 two-column pages, 5 eps figures; submitted to J. Phys.: Appl. Phy
ΠΠ¦ΠΠΠΠ Π€ΠΠΠΠΠ‘ΠΠΠΠΠ ΠΠΠΠΠΠΠΠΠ― ΠΠ ΠΠΠΠ ΠΠ―Π’ΠΠ― ΠΒ ΠΠΠ ΠΠΠΠΠΠΠΠ ΠΠΠ’ΠΠΠΠΠ¬ΠΠΠ ΠΠΠΠΠΠ ΠΠΠ ΠΠ―Π’ΠΠΠ‘Π’Π ΠΠΠΠΠ ΠΠ’Π‘Π’ΠΠ ΠΠ ΠΠΠΠ ΠΠ―Π’ΠΠ―
The article deals with the financial analysis of the companies in bankruptcy proceedings. Using the principle of invariance of factors in predicting the functions of financial analysis, it was possible to assess the parameters and structure of the optimal model of the probability of bankruptcy and to establish criteria for the financial situation of the company. All possible models and methods of probability of bankruptcy to anticipate the onset of bankruptcy with a certain degree of probability, but in predicting bankruptcy of domestic producers must be borne in mind that the weights used in the prior art methods require adjustments for regional and sectoral conditions of functioning of economic entities, and the existing trend does not reflect the full information on the dynamics and structure of equity and debt, working capital and liquidity. Thus, it is considered appropriate to use the theory of econometrics, which ensures the independence of the numerical results of the analysis and forecast of the series shift along the time axis. It needs to estimate parameters and structures of the optimal model of the probability of bankruptcy and to establish criteria for the financial position of the company on the principle of invariance in the bankruptcy proceedings. The study serves the basis for a proactive approach to the identification of the optimal model terms of probability of bankruptcy of enterprises and the financial situation of enterprises.Π ΡΡΠ°ΡΡΠ΅ ΡΠ°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°Π΅ΡΡΡ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΡΠΉ Π°Π½Π°Π»ΠΈΠ· ΠΏΡΠ΅Π΄ΠΏΡΠΈΡΡΠΈΠΉ Π² ΠΏΡΠΎΡΠ΅Π΄ΡΡΠ°Ρ
Π±Π°Π½ΠΊΡΠΎΡΡΡΠ²Π°. ΠΡΠΏΠΎΠ»ΡΠ·ΡΡ ΠΏΡΠΈΠ½ΡΠΈΠΏ ΠΈΠ½Π²Π°ΡΠΈΠ°Π½ΡΠ½ΠΎΡΡΠΈ Π² ΠΏΡΠΎΠ³Π½ΠΎΠ·ΠΈΡΠΎΠ²Π°Π½ΠΈΠΈ ΡΡΠ½ΠΊΡΠΈΠΉ ΠΊΠΎΡΡΡΠΈΡΠΈΠ΅Π½ΡΠΎΠ² ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π°, ΡΠ΄Π°Π»ΠΎΡΡ ΠΏΡΠΎΠΈΠ·Π²Π΅ΡΡΠΈ ΠΎΡΠ΅Π½ΠΊΡ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² ΠΈ ΡΡΡΡΠΊΡΡΡ ΠΎΠΏΡΠΈΠΌΠ°Π»ΡΠ½ΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ Π²Π΅ΡΠΎΡΡΠ½ΠΎΡΡΠΈ Π±Π°Π½ΠΊΡΠΎΡΡΡΠ²Π° ΠΏΡΠ΅Π΄ΠΏΡΠΈΡΡΠΈΡ ΠΈ ΡΡΡΠ°Π½ΠΎΠ²ΠΈΡΡ ΠΊΡΠΈΡΠ΅ΡΠΈΠΈ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΠΎΠ³ΠΎ ΠΏΠΎΠ»ΠΎΠΆΠ΅Π½ΠΈΡ ΠΏΡΠ΅Π΄ΠΏΡΠΈΡΡΠΈΡ. ΠΡΠ΅ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΡΠ΅ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΈ ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠΈ Π²Π΅ΡΠΎΡΡΠ½ΠΎΡΡΠΈ Π±Π°Π½ΠΊΡΠΎΡΡΡΠ²Π° ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡΡ ΠΏΡΠ΅Π΄Π²ΠΈΠ΄Π΅ΡΡ Π½Π°ΡΡΡΠΏΠ»Π΅Π½ΠΈΠ΅ Π±Π°Π½ΠΊΡΠΎΡΡΡΠ²Π° Ρ ΡΠΎΠΉ ΠΈΠ»ΠΈ ΠΈΠ½ΠΎΠΉ ΡΡΠ΅ΠΏΠ΅Π½ΡΡ Π²Π΅ΡΠΎΡΡΠ½ΠΎΡΡΠΈ, Π½ΠΎ ΠΏΡΠΈ ΠΏΡΠΎΠ³Π½ΠΎΠ·ΠΈΡΠΎΠ²Π°Π½ΠΈΠΈ Π±Π°Π½ΠΊΡΠΎΡΡΡΠ²Π° ΠΎΡΠ΅ΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΡ
ΡΠΎΠ²Π°ΡΠΎΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΡΠ΅Π»Π΅ΠΉ Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎ ΡΡΠΈΡΡΠ²Π°ΡΡ, ΡΡΠΎ Π²Π΅ΡΠΎΠ²ΡΠ΅ ΠΊΠΎΡΡΡΠΈΡΠΈΠ΅Π½ΡΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΠ΅ΠΌΡΠ΅ Π² ΠΈΠ·Π²Π΅ΡΡΠ½ΡΡ
ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠ°Ρ
, ΡΡΠ΅Π±ΡΡΡ ΠΊΠΎΡΡΠ΅ΠΊΡΠΈΡΠΎΠ²ΠΊΠΈ ΠΏΡΠΈΠΌΠ΅Π½ΠΈΡΠ΅Π»ΡΠ½ΠΎ ΠΊ ΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΡΠΌ ΠΈ ΠΎΡΡΠ°ΡΠ»Π΅Π²ΡΠΌ ΡΡΠ»ΠΎΠ²ΠΈΡΠΌ ΡΡΠ½ΠΊΡΠΈΠΎΠ½ΠΈΡΠΎΠ²Π°Π½ΠΈΡ Ρ
ΠΎΠ·ΡΠΉΡΡΠ²ΡΡΡΠΈΡ
ΡΡΠ±ΡΠ΅ΠΊΡΠΎΠ², Π° ΡΡΡΠ΅ΡΡΠ²ΡΡΡΠ°Ρ ΡΠ΅Π½Π΄Π΅Π½ΡΠΈΡ Π½Π΅ ΠΎΡΡΠ°ΠΆΠ°Π΅Ρ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ ΠΎ Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠ΅ ΠΈ ΡΡΡΡΠΊΡΡΡΠ΅ ΡΠΎΠ±ΡΡΠ²Π΅Π½Π½ΠΎΠ³ΠΎ ΠΈ Π·Π°Π΅ΠΌΠ½ΠΎΠ³ΠΎ ΠΊΠ°ΠΏΠΈΡΠ°Π»Π°, ΠΎΠ±ΠΎΡΠΎΡΠ½ΡΡ
ΡΡΠ΅Π΄ΡΡΠ² ΠΈ Π»ΠΈΠΊΠ²ΠΈΠ΄Π½ΠΎΡΡΠΈ Π² ΠΏΠΎΠ»Π½ΠΎΠΌ ΠΎΠ±ΡΠ΅ΠΌΠ΅. Π’Π°ΠΊΠΈΠΌ ΠΎΠ±ΡΠ°Π·ΠΎΠΌ, ΡΡΠΈΡΠ°Π΅ΡΡΡ ΡΠ΅Π»Π΅ΡΠΎΠΎΠ±ΡΠ°Π·Π½ΡΠΌ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΡ ΡΠ΅ΠΎΡΠΈΡ ΡΠΊΠΎΠ½ΠΎΠΌΠ΅ΡΡΠΈΠΊΠΈ, ΠΊΠΎΡΠΎΡΠ°Ρ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠΈΠ²Π°Π΅Ρ Π½Π΅Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡΡ ΡΠΈΡΠ»Π΅Π½Π½ΡΡ
ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΎΠ² Π°Π½Π°Π»ΠΈΠ·Π° ΠΈ ΠΏΡΠΎΠ³Π½ΠΎΠ·Π° ΠΎΡ ΡΠ΄Π²ΠΈΠ³Π° ΡΡΠ΄ΠΎΠ² ΠΏΠΎ ΠΎΡΠΈ Π²ΡΠ΅ΠΌΠ΅Π½ΠΈ. ΠΠΎΡΡΠ°Π²Π»Π΅Π½Π° Π·Π°Π΄Π°ΡΠ° ΠΏΡΠΎΠΈΠ·Π²Π΅ΡΡΠΈ ΠΎΡΠ΅Π½ΠΊΡ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² ΠΈ ΡΡΡΡΠΊΡΡΡ ΠΎΠΏΡΠΈΠΌΠ°Π»ΡΠ½ΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ Π²Π΅ΡΠΎΡΡΠ½ΠΎΡΡΠΈ Π±Π°Π½ΠΊΡΠΎΡΡΡΠ²Π° ΠΏΡΠ΅Π΄ΠΏΡΠΈΡΡΠΈΡ ΠΈ ΡΡΡΠ°Π½ΠΎΠ²ΠΈΡΡ ΠΊΡΠΈΡΠ΅ΡΠΈΠΈ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΠΎΠ³ΠΎ ΠΏΠΎΠ»ΠΎΠΆΠ΅Π½ΠΈΡ ΠΏΡΠ΅Π΄ΠΏΡΠΈΡΡΠΈΡ ΠΎΡΠ½ΠΎΡΠΈΡΠ΅Π»ΡΠ½ΠΎ ΠΏΡΠΈΠ½ΡΠΈΠΏΠ° ΠΈΠ½Π²Π°ΡΠΈΠ°Π½ΡΠ½ΠΎΡΡΠΈ Π² ΠΏΡΠΎΡΠ΅Π΄ΡΡΠ°Ρ
Π±Π°Π½ΠΊΡΠΎΡΡΡΠ²Π°. ΠΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ Π²ΡΡΡΡΠΏΠ°Π΅Ρ Π±Π°Π·ΠΎΠΉ Π΄Π»Ρ Π°ΠΊΡΠΈΠ²Π½ΠΎΠ³ΠΎ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄Π° ΠΊ Π²ΡΡΠ²Π»Π΅Π½ΠΈΡ ΡΠ»Π°Π³Π°Π΅ΠΌΡΡ
ΠΎΠΏΡΠΈΠΌΠ°Π»ΡΠ½ΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ Π²Π΅ΡΠΎΡΡΠ½ΠΎΡΡΠΈ Π±Π°Π½ΠΊΡΠΎΡΡΡΠ²Π° ΠΏΡΠ΅Π΄ΠΏΡΠΈΡΡΠΈΠΉ ΠΈ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΠΎΠ³ΠΎ ΠΏΠΎΠ»ΠΎΠΆΠ΅Π½ΠΈΡ ΠΏΡΠ΅Π΄ΠΏΡΠΈΡΡΠΈΠΉ
Deconvolving Instrumental and Intrinsic Broadening in Excited State X-ray Spectroscopies
Intrinsic and experimental mechanisms frequently lead to broadening of
spectral features in excited-state spectroscopies. For example, intrinsic
broadening occurs in x-ray absorption spectroscopy (XAS) measurements of heavy
elements where the core-hole lifetime is very short. On the other hand,
nonresonant x-ray Raman scattering (XRS) and other energy loss measurements are
more limited by instrumental resolution. Here, we demonstrate that the
Richardson-Lucy (RL) iterative algorithm provides a robust method for
deconvolving instrumental and intrinsic resolutions from typical XAS and XRS
data. For the K-edge XAS of Ag, we find nearly complete removal of ~9.3 eV FWHM
broadening from the combined effects of the short core-hole lifetime and
instrumental resolution. We are also able to remove nearly all instrumental
broadening in an XRS measurement of diamond, with the resulting improved
spectrum comparing favorably with prior soft x-ray XAS measurements. We present
a practical methodology for implementing the RL algorithm to these problems,
emphasizing the importance of testing for stability of the deconvolution
process against noise amplification, perturbations in the initial spectra, and
uncertainties in the core-hole lifetime.Comment: 35 pages, 13 figure
ΠΠ»ΠΈΠ½ΠΈΠΊΠΎ-ΠΈΠΌΠΌΡΠ½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠΈ ΠΏΡΠΎΡΠ΅ΡΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠ³ΠΎ Π±ΡΠΎΠ½Ρ ΠΈΡΠ°
Based on results of investigation of 144 patients the authors described functional, bronchoscopic, microbiological, and immunological peculiarities of chronic dustrelated bronchitis and chronic toxico-chemical bronchitis.Π ΡΡΠ°ΡΡΠ΅ Π½Π° ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΠΈ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½Π½ΡΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ ΠΎΠΏΠΈΡΡΠ²Π°ΡΡΡΡ ΡΡΠ½ΠΊΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΠ΅, Π±ΡΠΎΠ½Ρ
ΠΎΡΠΊΠΎΠΏΠΈΡΠ΅ΡΠΊΠΈΠ΅, ΠΌΠΈΠΊΡΠΎΠ±ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΈ ΠΈΠΌΠΌΡΠ½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠΈ Ρ
ΡΠΎΠ½ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΏΡΠ»Π΅Π²ΠΎΠ³ΠΎ Π±ΡΠΎΠ½Ρ
ΠΈΡΠ° Ρ 144 ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² ΠΈ Ρ
ΡΠΎΠ½ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π±ΡΠΎΠ½Ρ
ΠΈΡΠ° ΡΠΎΠΊΡΠΈΠΊΠΎ-Ρ
ΠΈΠΌΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΡΠΈΠΎΠ»ΠΎΠ³ΠΈΠΈ
ΠΠ»ΠΈΠ½ΠΈΠΊΠΎ-ΡΡΠ½ΠΊΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΠ΅ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠΈ ΠΏΡΠΎΡΠ΅ΡΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ Π»Π΅Π³ΠΊΠΈΡ , Π²ΡΠ·Π²Π°Π½Π½ΡΡ Π²ΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΈΠ΅ΠΌ ΠΌΠ°Π»ΠΎΡΠΈΠ±ΡΠΎΠ³Π΅Π½Π½ΡΡ ΠΏΡΠΎΠΌΡΡΠ»Π΅Π½Π½ΡΡ Π°ΡΡΠΎΠ·ΠΎΠ»Π΅ΠΉ
Clinical, bronchoscopic, functional, and echocardiographic peculiarities of pneumoconiosis and dust related bronchitis caused by exposure of mixed limestone and dolomite dust are describes in the paper. Authors have studied a rate of biological aging under exposure of low-fibrogenic aerosols. Relationship has been demonstrated between functional and structural disorders of respiratory and cardiovascular systems in dust related respirato- ry pathology caused by exposure of limestone and dolomite dusts. A difference between actual and predicted biological age is shown to be used as a marker of premorbid conditions in workers exposed to industrial dust.Π ΡΠ°Π±ΠΎΡΠ΅ ΠΈΠ·ΡΡΠ΅Π½Ρ ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΈΠ΅, Π±ΡΠΎΠ½Ρ
ΠΎΡΠΊΠΎΠΏΠΈΡΠ΅ΡΠΊΠΈΠ΅, ΡΡΠ½ΠΊΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΠ΅ ΠΈ ΡΡ
ΠΎΠΊΠ°ΡΠ΄ΠΈΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠΈ ΠΏΠ½Π΅Π²ΠΌΠΎΠΊΠΎΠ½ΠΈΠΎΠ·Π° ΠΈ ΠΏΡΠ»Π΅Π²ΠΎΠ³ΠΎ Π±ΡΠΎΠ½Ρ
ΠΈΡΠ°, Π²ΡΠ·Π²Π°Π½Π½ΡΡ
Π²Π»ΠΈΡΠ½ΠΈΠ΅ΠΌ ΠΈΠ·Π²Π΅ΡΡΠ½ΡΠΊΠΎΠ²ΠΎ-Π΄ΠΎΠ»ΠΎΠΌΠΈΡΠΎΠ²ΠΎΠΉ ΠΏΡΠ»ΠΈ. ΠΠ·ΡΡΠ΅Π½ ΡΠ΅ΠΌΠΏ Π±ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΡΠ°ΡΠ΅Π½ΠΈΡ ΠΏΡΠΈ Π²ΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΈΠΈ ΠΌΠ°Π»ΠΎΡΠΈΠ±ΡΠΎΠ³Π΅Π½Π½ΡΡ
Π°ΡΡΠΎΠ·ΠΎΠ»Π΅ΠΉ. ΠΠΎΠΊΠ°Π·Π°Π½Π° Π²Π·Π°ΠΈΠΌΠΎΡΠ²ΡΠ·Ρ ΡΡΠ½ΠΊΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ
ΠΈ ΡΡΡΡΠΊΡΡΡΠ½ΡΡ
ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ ΡΠ΅ΡΠΏΠΈΡΠ°ΡΠΎΡΠ½ΠΎΠΉ ΠΈ ΡΠ΅ΡΠ΄Π΅ΡΠ½ΠΎ-ΡΠΎΡΡΠ΄ΠΈΡΡΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌ ΠΏΡΠΈ ΠΏΡΠ»Π΅Π²ΡΡ
ΠΏΠ°ΡΠΎΠ»ΠΎΠ³ΠΈΡΡ
Π»Π΅Π³ΠΊΠΈΡ
. Π Π°Π·Π½ΠΈΡΠ° ΠΈΠ½Π΄ΠΈΠ²ΠΈΠ΄ΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΈ Π΄ΠΎΠ»ΠΆΠ½ΠΎΠ³ΠΎ Π±ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π²ΠΎΠ·ΡΠ°ΡΡΠ° ΠΌΠΎΠΆΠ΅Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΡΡΡ Π² ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΊΡΠΈΡΠ΅ΡΠΈΡ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΏΡΠ΅ΠΌΠΎΡΠ±ΠΈΠ΄Π½ΠΎΠ³ΠΎ ΡΠΎΡΡΠΎΡΠ½ΠΈΡ Ρ ΡΠ°Π±ΠΎΡΠΈΡ
ΠΏΡΠ»Π΅Π²ΡΡ
ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²