668 research outputs found
Interpretation of Sophia the Wisdom of God in Russian Philosophical Sophiology
The article opens a number of studies devoted to the theme of Sophia the Wisdom of God in the history of Russian Christian fine art and sacred architecture. The Cathedral of Veliky Novgorod, built in the 11th century, is one of the oldest religious buildings dedicated to St. Sophia. The question about the name of the Novgorod cathedral a few centuries after its construction caused a theological discussion, and in the 19th and 20th centuries brought to life religious and philosophical Russian trend β the tradition of Sophiology. The icon of Sophia the Wisdom, which occupies a completely unique place in the history of Russian iconography, has not yet received a generally accepted interpretation. Various philosophical theories aimed at explaining the content of this icon, as well as at reconstructing the meaning of the very name of Sophia the Wisdom, are explored in this article. For Vladimir Solovyov, Sophia is the personification of the unity of cosmos, a character in his mystical poetry and a mythological βSoul of the Worldβ within the framework of his philosophy of unity. The priest Pavel Florensky describes Sophia as the divine nature of all living beings, the βideal personality of the worldβ, often merging with the Mother of God in minds of people. Sergei Bulgakov connects Sophia with the divine essence of the Trinity, and with the highest principle of the world order, and with the angel. All these philosophers try to arbitrarily interpret the plot of the icon of St. Sophia and the name of Russian churches in honor of St. Sophia to substantiate their religious and philosophical concepts, which are far from Christian orthodoxy.Π‘ΡΠ°ΡΡΡ ΠΎΡΠΊΡΡΠ²Π°Π΅Ρ ΡΠ΅ΡΠΈΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ, ΠΏΠΎΡΠ²ΡΡΡΠ½Π½ΡΡ
ΡΠ΅ΠΌΠ΅ Π‘ΠΎΡΠΈΠΈ β ΠΡΠ΅ΠΌΡΠ΄ΡΠΎΡΡΠΈ ΠΠΎΠΆΠΈΠ΅ΠΉ Π² ΠΈΡΡΠΎΡΠΈΠΈ ΡΡΡΡΠΊΠΎΠ³ΠΎ Ρ
ΡΠΈΡΡΠΈΠ°Π½ΡΠΊΠΎΠ³ΠΎ ΠΈΠ·ΠΎΠ±ΡΠ°Π·ΠΈΡΠ΅Π»ΡΠ½ΠΎΠ³ΠΎ ΠΈΡΠΊΡΡΡΡΠ²Π° ΠΈ ΡΠ°ΠΊΡΠ°Π»ΡΠ½ΠΎΠΉ Π°ΡΡ
ΠΈΡΠ΅ΠΊΡΡΡΡ. ΠΠ°ΡΠ΅Π΄ΡΠ°Π»ΡΠ½ΡΠΉ ΡΠΎΠ±ΠΎΡ ΠΠ΅Π»ΠΈΠΊΠΎΠ³ΠΎ ΠΠΎΠ²Π³ΠΎΡΠΎΠ΄Π°, ΠΏΠΎΡΡΡΠΎΠ΅Π½Π½ΡΠΉ Π² 11 Π²Π΅ΠΊΠ΅, ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΎΠ΄Π½ΠΈΠΌ ΠΈΠ· Π΄ΡΠ΅Π²Π½Π΅ΠΉΡΠΈΡ
ΡΠ΅Π»ΠΈΠ³ΠΈΠΎΠ·Π½ΡΡ
ΡΠΎΠΎΡΡΠΆΠ΅Π½ΠΈΠΉ, ΠΏΠΎΡΠ²ΡΡΡΠ½Π½ΡΡ
Π‘Π²ΡΡΠΎΠΉ Π‘ΠΎΡΠΈΠΈ. ΠΠΎΠΏΡΠΎΡ ΠΎ Π½Π°ΠΈΠΌΠ΅Π½ΠΎΠ²Π°Π½ΠΈΠΈ Π½ΠΎΠ²Π³ΠΎΡΠΎΠ΄ΡΠΊΠΎΠ³ΠΎ ΡΠΎΠ±ΠΎΡΠ° ΡΠ΅ΡΠ΅Π· Π½Π΅ΡΠΊΠΎΠ»ΡΠΊΠΎ Π²Π΅ΠΊΠΎΠ² ΠΏΠΎΡΠ»Π΅ Π΅Π³ΠΎ ΠΏΠΎΡΡΡΠΎΠΉΠΊΠΈ ΠΏΠΎΡΠ»ΡΠΆΠΈΠ» ΠΏΡΠΈΡΠΈΠ½ΠΎΠΉ ΡΠ΅ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠΉ Π΄ΠΈΡΠΊΡΡΡΠΈΠΈ, Π° Π² 19β20 Π²Π΅ΠΊΠ°Ρ
Π²ΡΠ·Π²Π°Π» ΠΊ ΠΆΠΈΠ·Π½ΠΈ ΡΠ΅Π»ΠΎΠ΅ ΡΠ΅Π»ΠΈΠ³ΠΈΠΎΠ·Π½ΠΎ-ΡΠΈΠ»ΠΎΡΠΎΡΡΠΊΠΎΠ΅ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΠ΅, Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠ½ΠΎΠ΅ ΠΈΠΌΠ΅Π½Π½ΠΎ Π΄Π»Ρ Π ΠΎΡΡΠΈΠΈ, β ΡΡΠ°Π΄ΠΈΡΠΈΡ ΡΠΎΡΠΈΠΎΠ»ΠΎΠ³ΠΈΠΈ. ΠΠΊΠΎΠ½Π° Π‘ΠΎΡΠΈΠΈ-ΠΡΠ΅ΠΌΡΠ΄ΡΠΎΡΡΠΈ, ΠΊΠΎΡΠΎΡΠ°Ρ Π·Π°Π½ΠΈΠΌΠ°Π΅Ρ ΡΠΎΠ²Π΅ΡΡΠ΅Π½Π½ΠΎ ΡΠ½ΠΈΠΊΠ°Π»ΡΠ½ΠΎΠ΅ ΠΌΠ΅ΡΡΠΎ Π² ΠΈΡΡΠΎΡΠΈΠΈ ΡΡΡΡΠΊΠΎΠΉ ΠΈΠΊΠΎΠ½ΠΎΠ³ΡΠ°ΡΠΈΠΈ, Π΄ΠΎ ΡΠΈΡ
ΠΏΠΎΡ Π½Π΅ ΠΏΠΎΠ»ΡΡΠΈΠ»Π° ΠΎΠ±ΡΠ΅ΠΏΡΠΈΠ½ΡΡΠΎΠΉ ΠΈΠ½ΡΠ΅ΡΠΏΡΠ΅ΡΠ°ΡΠΈΠΈ. Π Π°Π·Π»ΠΈΡΠ½ΡΠ΅ ΡΠΈΠ»ΠΎΡΠΎΡΡΠΊΠΈΠ΅ ΡΠ΅ΠΎΡΠΈΠΈ, Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½Π½ΡΠ΅ Π½Π° ΠΎΠ±ΡΡΡΠ½Π΅Π½ΠΈΠ΅ ΡΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΡ ΡΡΠΎΠΉ ΠΈΠΊΠΎΠ½Ρ, Π° ΡΠ°ΠΊΠΆΠ΅ Π½Π° ΡΠ΅ΠΊΠΎΠ½ΡΡΡΡΠΊΡΠΈΡ ΡΠΌΡΡΠ»Π° ΡΠ°ΠΌΠΎΠ³ΠΎ ΠΈΠΌΠ΅Π½ΠΈ Π‘ΠΎΡΠΈΠΈ-ΠΡΠ΅ΠΌΡΠ΄ΡΠΎΡΡΠΈ, ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½Ρ Π² ΡΡΠΎΠΉ ΡΡΠ°ΡΡΠ΅. ΠΠ»Ρ ΠΠ»Π°Π΄ΠΈΠΌΠΈΡΠ° Π‘ΠΎΠ»ΠΎΠ²ΡΡΠ²Π° Π‘ΠΎΡΠΈΡ Π΅ΡΡΡ ΠΎΠ»ΠΈΡΠ΅ΡΠ²ΠΎΡΠ΅Π½ΠΈΠ΅ Π΅Π΄ΠΈΠ½ΡΡΠ²Π° ΠΊΠΎΡΠΌΠΎΡΠ°, ΠΏΠ΅ΡΡΠΎΠ½Π°ΠΆ Π΅Π³ΠΎ ΠΌΠΈΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΏΠΎΡΠ·ΠΈΠΈ ΠΈ ΠΌΠΈΡΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠ°Ρ Β«ΠΡΡΠ° ΠΌΠΈΡΠ°Β» Π² ΡΠ°ΠΌΠΊΠ°Ρ
Π΅Π³ΠΎ ΡΠΈΠ»ΠΎΡΠΎΡΠΈΠΈ Π²ΡΠ΅Π΅Π΄ΠΈΠ½ΡΡΠ²Π°. Π£ ΡΠ²ΡΡΠ΅Π½Π½ΠΈΠΊΠ° ΠΠ°Π²Π»Π° Π€Π»ΠΎΡΠ΅Π½ΡΠΊΠΎΠ³ΠΎ Π‘ΠΎΡΠΈΡ ΠΎΠΏΠΈΡΠ°Π½Π° ΠΊΠ°ΠΊ Π±ΠΎΠΆΠ΅ΡΡΠ²Π΅Π½Π½Π°Ρ ΠΏΡΠΈΡΠΎΠ΄Π° Π²ΡΠ΅Ρ
ΠΆΠΈΠ²ΡΡ
ΡΡΡΠ΅ΡΡΠ², Β«ΠΈΠ΄Π΅Π°Π»ΡΠ½Π°Ρ Π»ΠΈΡΠ½ΠΎΡΡΡ ΠΌΠΈΡΠ°Β», Π² ΡΠΎΠ·Π½Π°Π½ΠΈΠΈ Π½Π°ΡΠΎΠ΄Π° Π·Π°ΡΠ°ΡΡΡΡ ΡΠ»ΠΈΠ²Π°ΡΡΠ°ΡΡΡ Ρ ΠΠΎΠ³ΠΎΡΠΎΠ΄ΠΈΡΠ΅ΠΉ. Π‘Π΅ΡΠ³ΠΈΠΉ ΠΡΠ»Π³Π°ΠΊΠΎΠ² ΡΠ²ΡΠ·ΡΠ²Π°Π΅Ρ Π‘ΠΎΡΠΈΡ ΡΠΎ Ρ Π±ΠΎΠΆΠ΅ΡΡΠ²Π΅Π½Π½ΠΎΠΉ ΡΡΡΠ½ΠΎΡΡΡΡ Π’ΡΠΎΠΈΡΡ, ΡΠΎ Ρ Π²ΡΡΡΠΈΠΌ ΠΏΡΠΈΠ½ΡΠΈΠΏΠΎΠΌ ΠΌΠΈΡΠΎΠ²ΠΎΠ³ΠΎ ΠΏΠΎΡΡΠ΄ΠΊΠ°, ΡΠΎ Ρ ΠΎΡΠ΄Π΅Π»ΡΠ½ΡΠΌ Π°Π½Π³Π΅Π»ΠΎΠΌ. ΠΡΠ΅ Π½Π°Π·Π²Π°Π½Π½ΡΠ΅ ΡΠΈΠ»ΠΎΡΠΎΡΡ ΠΏΡΡΠ°ΡΡΡΡ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ»ΡΠ½ΠΎ ΠΈΠ½ΡΠ΅ΡΠΏΡΠ΅ΡΠΈΡΠΎΠ²Π°ΡΡ ΡΡΠΆΠ΅Ρ ΠΈΠΊΠΎΠ½Ρ Π‘Π²ΡΡΠΎΠΉ Π‘ΠΎΡΠΈΠΈ ΠΈ Π½Π°ΠΈΠΌΠ΅Π½ΠΎΠ²Π°Π½ΠΈΠ΅ ΡΡΡΡΠΊΠΈΡ
Ρ
ΡΠ°ΠΌΠΎΠ² Π² ΡΠ΅ΡΡΡ Π‘Π²ΡΡΠΎΠΉ Π‘ΠΎΡΠΈΠΈ Π΄Π»Ρ Π°ΡΠ³ΡΠΌΠ΅Π½ΡΠ°ΡΠΈΠΈ ΡΠ²ΠΎΠΈΡ
ΡΠ΅Π»ΠΈΠ³ΠΈΠΎΠ·Π½ΠΎ-ΡΠΈΠ»ΠΎΡΠΎΡΡΠΊΠΈΡ
ΠΊΠΎΠ½ΡΠ΅ΠΏΡΠΈΠΉ, Π΄Π°Π»ΡΠΊΠΈΡ
ΠΎΡ Ρ
ΡΠΈΡΡΠΈΠ°Π½ΡΠΊΠΎΠΉ ΠΎΡΡΠΎΠ΄ΠΎΠΊΡΠΈΠΈ
A special family of Galton-Watson processes with explosions
The linear-fractional Galton-Watson processes is a well known case when many
characteristics of a branching process can be computed explicitly. In this
paper we extend the two-parameter linear-fractional family to a much richer
four-parameter family of reproduction laws. The corresponding Galton-Watson
processes also allow for explicit calculations, now with possibility for
infinite mean, or even infinite number of offspring. We study the properties of
this special family of branching processes, and show, in particular, that in
some explosive cases the time to explosion can be approximated by the Gumbel
distribution
Evacuation of SR power from the CLIC damping ring
Absorption of synchrotron radiation (SR) power generated by wigglers of damping rings is a difficult technical task. The CLIC damping ring operates with electron (or positron) beams with energy 2.424 GeV, average beam current is up to 150 mA. The 38 wigglers installed in one straight section of the CLIC damping ring produce radiation with a total power of about 122 kW. Power density at the end of the straight sections is about 75 W per square mm. Such a power density can destroy vacuum chambers, therefore a careful design and placement of appropriate radiation collimators and absorbers is required. In this paper we describe an algorithm to compute SR power density as well as options for safe absorption of SR power. All the calculations were performed for the current design of the CLIC damping ring and wigglers. Some related problems for absorption of high SR power are described
METHODS OF DETERMINING THE SIZE OF NATURAL RESOURCE RENTS AND DIRECTIONS OF IMPROVEMENT
The article discusses the methodology for determining the size of the natural (mountain) rents, developed and proposed for use in the Russian economy. Analyzes the shortcomings of techniques that are based on Β«extremely profitable concept ofΒ» natural rent (these techniques are based on a comparison of economic indicators, rather than the specific nature of production conditions, and may not be used in economic calculations). When determining the amount of mining rent its calculations should be based on the specific environmental conditions of mining, or indicators reflecting their (standard costs applied production technology)
METHODS OF DETERMINING THE SIZE OF NATURAL RESOURCE RENTS AND DIRECTIONS OF IMPROVEMENT
The article discusses the methodology for determining the size of the natural (mountain) rents, developed and proposed for use in the Russian economy. Analyzes the shortcomings of techniques that are based on Β«extremely profitable concept ofΒ» natural rent (these techniques are based on a comparison of economic indicators, rather than the specific nature of production conditions, and may not be used in economic calculations). When determining the amount of mining rent its calculations should be based on the specific environmental conditions of mining, or indicators reflecting their (standard costs applied production technology)
Beam propagation in a Randomly Inhomogeneous Medium
An integro-differential equation describing the angular distribution of beams
is analyzed for a medium with random inhomogeneities. Beams are trapped because
inhomogeneities give rise to wave localization at random locations and random
times. The expressions obtained for the mean square deviation from the initial
direction of beam propagation generalize the "3/2 law".Comment: 4 page
An improvement of the Berry--Esseen inequality with applications to Poisson and mixed Poisson random sums
By a modification of the method that was applied in (Korolev and Shevtsova,
2009), here the inequalities
and
are proved for the
uniform distance between the standard normal distribution
function and the distribution function of the normalized sum of an
arbitrary number of independent identically distributed random
variables with zero mean, unit variance and finite third absolute moment
. The first of these inequalities sharpens the best known version of
the classical Berry--Esseen inequality since
by virtue of
the condition , and 0.4785 is the best known upper estimate of the
absolute constant in the classical Berry--Esseen inequality. The second
inequality is applied to lowering the upper estimate of the absolute constant
in the analog of the Berry--Esseen inequality for Poisson random sums to 0.3051
which is strictly less than the least possible value of the absolute constant
in the classical Berry--Esseen inequality. As a corollary, the estimates of the
rate of convergence in limit theorems for compound mixed Poisson distributions
are refined.Comment: 33 page
Enhancing the Approach to Forecasting the Dynamics of Socio-Economic Development during the COVID-19 Pandemic
This study reveals the approach to scaling socio-economic indicators to ensure economic security through regional budget expenditures to the GRP ratio example. Indicator choice is conditioned by the necessity to determine the degree of the federal center's rational influence on the regional strategic goals of sustainable development. The study aims to develop and test the system for assessing the dynamics of Russian socio-economic development based on the authors' interpretation of the scaling factor values. The main research method is scaling, which provides additional perspectives reflected by preserving proportions when changing the target parameters. The new method's effectiveness is confirmed by calculating the scaling factor. Its value interpretation gives a tool for assessing the effectiveness of the strategy development system and its economic security. The study's relevance is due to adaptation to global transformations based on the management system's capability to act under various crisis scenarios and make anti-crisis decisions important for the Russian economy. The findings improve the basis for implementing a sustainable strategic planning system and strengthening national security in the COVID-19 pandemic.Β The findings make it possible toΒ predict the further evolution of the relationships between indicator groups in order to increase the role of per capita budgetary expenditures in GRP.Β Doi: 10.28991/esj-2022-SPER-08 Full Text: PD
ΠΡΠ΅ΡΠ°ΡΠΈΠΎΠ½Π½Π°Ρ ΡΠΎΠΌΠΎΠ³ΡΠ°ΡΠΈΡ ΡΡΡΠ± Π² ΠΏΡΠΎΡΠ΅ΡΡΠ΅ ΡΠΊΡΠΏΠ»ΡΠ°ΡΠ°ΡΠΈΠΈ
The pipe wall thickness was estimated based on three-dimensional images of the pipe recovered from several X-ray projections, which were made in a limited angle of view. Since the effects of scattered radiation and beam hardening are up to 50 % of the main radiation, ignoring them leads to blur of the image and inaccuracy in determining dimensions. To restore pipe images from projections, a volume and/or shell representation of the pipe is used, as well as iterative Bayesian methods. Using these methods, the error in estimating the pipe wall thickness from the projection data can be equal to or less than 300 ΞΌm. It has been shown that standard X-ray projections on the film or imaging plates used to obtain data can be used to restore pipe wall thickness profiles in factory conditions.ΠΡΠΎΠ²Π΅Π΄Π΅Π½Π° ΠΎΡΠ΅Π½ΠΊΠ° ΡΠΎΠ»ΡΠΈΠ½Ρ ΡΡΠ΅Π½ΠΊΠΈ ΡΡΡΠ±Ρ, ΠΈΡΡ
ΠΎΠ΄Ρ ΠΈΠ· ΡΡΠ΅Ρ
ΠΌΠ΅ΡΠ½ΡΡ
ΠΈΠ·ΠΎΠ±ΡΠ°ΠΆΠ΅Π½ΠΈΠΉ ΡΡΡΠ±Ρ, Π²ΠΎΡΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½Π½ΡΡ
ΠΈΠ· Π½Π΅ΡΠΊΠΎΠ»ΡΠΊΠΈΡ
ΡΠ΅Π½ΡΠ³Π΅Π½ΠΎΠ²ΡΠΊΠΈΡ
ΠΏΡΠΎΠ΅ΠΊΡΠΈΠΉ, ΠΊΠΎΡΠΎΡΡΠ΅ Π±ΡΠ»ΠΈ Π²ΡΠΏΠΎΠ»Π½Π΅Π½Ρ Π² ΠΎΠ³ΡΠ°Π½ΠΈΡΠ΅Π½Π½ΠΎΠΌ ΡΠ³Π»Π΅ ΠΎΠ±Π·ΠΎΡΠ°. ΠΠΎΡΠΊΠΎΠ»ΡΠΊΡ ΡΡΡΠ΅ΠΊΡΡ ΡΠ°ΡΡΠ΅ΡΠ½Π½ΠΎΠ³ΠΎ ΠΈΠ·Π»ΡΡΠ΅Π½ΠΈΡ ΠΈ ΡΠΆΠ΅ΡΡΠΎΡΠ΅Π½ΠΈΡ Π»ΡΡΠ΅ΠΉ ΡΠΎΡΡΠ°Π²Π»ΡΡΡ Π΄ΠΎ 50 % ΠΎΡ ΠΎΡΠ½ΠΎΠ²Π½ΠΎΠ³ΠΎ ΠΈΠ·Π»ΡΡΠ΅Π½ΠΈΡ, ΠΈΡ
ΠΈΠ³Π½ΠΎΡΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΠΏΡΠΈΠ²ΠΎΠ΄ΠΈΡ ΠΊ ΡΠ°Π·ΠΌΡΡΠΈΡ ΠΈΠ·ΠΎΠ±ΡΠ°ΠΆΠ΅Π½ΠΈΡ ΠΈ Π½Π΅ΡΠΎΡΠ½ΠΎΡΡΠΈ ΠΏΡΠΈ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠΈ ΡΠ°Π·ΠΌΠ΅ΡΠΎΠ². ΠΠ»Ρ Π²ΠΎΡΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΈΡ ΠΈΠ·ΠΎΠ±ΡΠ°ΠΆΠ΅Π½ΠΈΠΉ ΡΡΡΠ± ΠΈΠ· ΠΏΡΠΎΠ΅ΠΊΡΠΈΠΉ ΠΏΡΠΈΠΌΠ΅Π½ΡΡΡΡΡ ΠΎΠ±ΡΠ΅ΠΌΠ½ΠΎΠ΅ ΠΈ/ΠΈΠ»ΠΈ ΠΎΠ±ΠΎΠ»ΠΎΡΠ΅ΡΠ½ΠΎΠ΅ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½ΠΈΠ΅ ΡΡΡΠ±Ρ, Π° ΡΠ°ΠΊΠΆΠ΅ ΠΈΡΠ΅ΡΠ°ΡΠΈΠ²Π½ΡΠ΅ Π±Π°ΠΉΠ΅ΡΠΎΠ²ΡΠΊΠΈΠ΅ ΠΌΠ΅ΡΠΎΠ΄Ρ. ΠΡΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠΈ ΡΡΠΈΡ
ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² ΠΎΡΠΈΠ±ΠΊΠ° ΠΎΡΠ΅Π½ΠΊΠΈ ΡΠΎΠ»ΡΠΈΠ½Ρ ΡΡΠ΅Π½ΠΊΠΈ ΡΡΡΠ±Ρ ΠΈΠ· ΠΏΡΠΎΠ΅ΠΊΡΠΈΠΎΠ½Π½ΡΡ
Π΄Π°Π½Π½ΡΡ
ΠΌΠΎΠΆΠ΅Ρ Π±ΡΡΡ ΡΠ°Π²Π½ΠΎΠΉ ΠΈΠ»ΠΈ ΠΌΠ΅Π½ΡΡΠ΅ 300 ΠΌΠΊΠΌ. ΠΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΡΠΎ ΠΏΠΎΠ»ΡΡΠ΅Π½Π½ΡΠ΅ ΡΠ΅Π½ΡΠ³Π΅Π½ΠΎΠ²ΡΠΊΠΈΠΌ ΠΈΠ·Π»ΡΡΠ΅Π½ΠΈΠ΅ΠΌ ΡΡΠ°Π½Π΄Π°ΡΡΠ½ΡΠ΅ ΠΏΡΠΎΠ΅ΠΊΡΠΈΠΈ Π½Π° ΠΏΠ»Π΅Π½ΠΊΠ΅ ΠΈΠ»ΠΈ Π²ΠΈΠ·ΡΠ°Π»ΠΈΠ·ΠΈΡΡΡΡΠΈΡ
ΠΏΠ»Π°ΡΡΠΈΠ½Π°Ρ
, ΠΏΡΠΈΠΌΠ΅Π½ΡΠ΅ΠΌΡΡ
Π΄Π»Ρ ΠΏΠΎΠ»ΡΡΠ΅Π½ΠΈΡ Π΄Π°Π½Π½ΡΡ
, ΠΌΠΎΠ³ΡΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΡΡΡ Π΄Π»Ρ Π²ΠΎΡΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΈΡ ΠΏΡΠΎΡΠΈΠ»Π΅ΠΉ ΡΠΎΠ»ΡΠΈΠ½ ΡΡΠ΅Π½ΠΎΠΊ ΡΡΡΠ± Π² Π·Π°Π²ΠΎΠ΄ΡΠΊΠΈΡ
ΡΡΠ»ΠΎΠ²ΠΈΡΡ
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