2,299 research outputs found
A theoretical model of a wake of a body towed in a stratified fluid at large Reynolds and Froude numbers
International audienceThe objective of the present paper is to develop a theoretical model describing the evolution of a turbulent wake behind a towed sphere in a stably stratified fluid at large Froude and Reynolds numbers. The wake flow is considered as a quasi two-dimensional (2-D) turbulent jet flow whose dynamics is governed by the momentum transfer from the mean flow to a quasi-2-D sinuous mode growing due to hydrodynamic instability. The model employs a quasi-linear approximation to describe this momentum transfer. The model scaling coefficients are defined with the use of available experimental data, and the performance of the model is verified by comparison with the results of a direct numerical simulation of a 2-D turbulent jet flow. The model prediction for the temporal development of the wake axis mean velocity is found to be in good agreement with the experimental data obtained by Spedding (1997)
CAROTID CHEMODECTOMA: DIFFERENTIAL DIAGNOSIS ACCORDING TO ULTRASOUND DATA
Carotid chemodectoma (βchemodectoma caroticumβ, a carotid glomus tumor) is a benign slow-growing, vascularized tumor that is one of the most common paragangliomas of the head and neck. The ultrasound examination of 18 000 patients referred for various reasons revealed 2 cases of carotid chemodectoma verified by angiography. The paper gives the current ideas of the rate, etiology, pathomorphology, and clinical manifestations of chemodectoma, as well as its major ultrasound differential diagnostic criteria
Modal testing circuit board assembly of an electronic apparatus by laser vibrometry
The operating capacity and service life of printed circuit boards in various electronic equipment and devices depends on their ability to resist vibroacoustic loads, including vibration and acoustic noises. In this paper, non-contact laser vibrometry has been applied to perform the modal analysis of a circuit board assembly in order to identify its vulnerable spots and to find solutions to protect the assembly from external vibroacoustic loads. A broadband periodic chirp signal was used to excite vibration, which enabled a rapid generation of results. The paper provides data on eigenfrequencies, vibration velocity fields, and vibration displacement profiles. Frequency ranges have been determined in which eigenfrequencies with the highest vibration amplification lie. The obtained data can be used to develop a quality control technique for printed circuit boards and to optimize their construction as early as the design stage
Axial anomaly and mixing: from real to highly virtual photons
The relation for transition form factors of eta and eta' mesons is obtained
by combining the exact nonperturbative QCD sum rule, following from the
dispersive representation of axial anomaly, and quark-hadron duality. It is
valid at all virtual photon momenta and allows one to express the transition
form factors entirely in terms of meson decay constants. This relation is in a
good agreement with experimental data.Comment: 10 pages, 4 figures. Minor corrections, references added and updated;
to appear in Phys.Rev.
Study of the process with SND detector at the VEPP-2M collider
In experiment with the SND detector at VEPP-2M collider the
cross section was measured in the energy range
=0.60--1.38 GeV with the integrated luminosity of 27.8 pb. The
measured cross section is well described by the vector meson dominance model
with contributions from the , , ,
resonances and agrees with results of previous
measurements. The decay probabilities \BR(\phi\to\eta\gamma),
\BR(\omega\to\eta\gamma) and \BR(\rho\to\eta\gamma) were measured with the
accuracies better than or comparable to the world averages.Comment: 13 pages, 6 figures, 5 table
ΠΠ΄Π°ΠΏΡΠΈΠ²Π½Π°Ρ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΠΎ-ΡΠΏΡΠ°Π²Π»ΡΡΡΠ°Ρ ΡΠΈΡΡΠ΅ΠΌΠ° Π΄ΠΈΠ½Π°ΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΌΠΎΠ½ΠΈΡΠΎΡΠΈΠ½Π³Π° ΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΎΠ±Π²ΠΎΠ΄Π½Π΅Π½Π½ΠΎΡΡΠΈ Π°Π²ΠΈΠ°ΡΠΎΠΏΠ»ΠΈΠ²Π° Π² ΡΠ΅Ρ Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ ΠΏΡΠΎΡΠ΅ΡΡΠ°Ρ Π°Π²ΠΈΠ°ΡΠΎΠΏΠ»ΠΈΠ²ΠΎΠΎΠ±Π΅ΡΠΏΠ΅ΡΠ΅Π½ΠΈΡ
Modern domestic and international standards, regulators of the aviation fuel industry, considering the negative impact ofΒ the presence of mechanical impurities and water in aviation fuel on the performance and life cycle of aircraft engines, fuel metering equipment, fuel systems of aircraft (A/C), as a threat factor for flight safety, impose high requirements for the purity of aviation fuel while operating aeronautical equipment. At the same time, the causes and sources of water content in jet fuel are a source of economic losses, the most important criterion for the success of the Aerodrome Fueling Complex business. The article considers the task of developing reliable and automated methods as well as technologies for controlling these contaminants, for example for determining water content in aviation fuel when refueling aircraft, and the necessity to minimize an effect of a human factor. The automation of aviation fuel quality monitoring processes, the transition from discrete control methods to continuous ones, from static control methods to dynamic ones (in-line), from indirect methods to direct ones are becoming relevant. The possibilities of end-to-end accounting and analysis of aviation fuel purity parameters at all stages of the aviation fuel life cycle are shown. The article considers the methods and conducts the analysis of known techniques and devices used to determine, measure and indicate actual water content, presence of dissolved, free and total water in jet fuel. The technical solution of continuous automated control of the actual water content level of the jet fuel flow in the processes of aviation fuel supply and aircraft refueling in an information system that provides on-line monitoring and dynamic measurement of the quantitative content of dissolved and free water in the jet fuel flow, is presented. The technical solution for the continuous determination of the quantitative water content in the jet fuel stream is proposed. At the same time, the solution of the problem of monitoring water content in jet fuel is combined with the technological process to control the purification of jet fuel from water. The paper represents an adaptive information management system for continuous monitoring of the water content level of the jet fuel flow, which will allow specialist to substantially increase a level of automatization of aircraft aviation fuel supply technological processes, decrease a negative impact of a human factor, increase economic effectiveness of the aviation fuel supply complex. The system is designed to carry out continuous, automated control (monitoring) of water content in the jet fuel flow at all the stages of the jet fuel movement: receiving, storing and delivering jet fuel and refueling aircraft, in particular fuel and lubricants warehouses (fuel and lubricants), refueling complexes and pre-apron filling points. It can also be used in the fuel system of the aircraft, as a system to prevent water content in the jet fuel. The integration of automation tools will enable us to improve the quality of management of aviation fuel supply and aircraft refueling to ensure timely operational decision based on real data in real time mode, provided the proposed system integration into the airport system for operational data exchange.Π‘ΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΠ΅ ΠΎΡΠ΅ΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΠ΅ ΠΈ ΠΌΠ΅ΠΆΠ΄ΡΠ½Π°ΡΠΎΠ΄Π½ΡΠ΅ ΡΡΠ΅Π±ΠΎΠ²Π°Π½ΠΈΡ ΡΠ΅Π³ΡΠ»ΡΡΠΎΡΠΎΠ² ΠΎΡΡΠ°ΡΠ»ΠΈ Π°Π²ΠΈΠ°ΡΠΎΠΏΠ»ΠΈΠ²ΠΎΠΎΠ±Π΅ΡΠΏΠ΅ΡΠ΅Π½ΠΈΡ, ΠΏΡΠΈΠ½ΠΈΠΌΠ°Ρ Π²ΠΎ Π²Π½ΠΈΠΌΠ°Π½ΠΈΠ΅ Π½Π΅Π³Π°ΡΠΈΠ²Π½ΠΎΠ΅ Π²Π»ΠΈΡΠ½ΠΈΠ΅ ΠΏΡΠΈΡΡΡΡΡΠ²ΠΈΡ ΠΌΠ΅Ρ
Π°Π½ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΡΠΈΠΌΠ΅ΡΠ΅ΠΉ ΠΈ Π²ΠΎΠ΄Ρ Π² Π°Π²ΠΈΠ°ΡΠΎΠΏΠ»ΠΈΠ²Π΅ Π½Π° ΡΠ°Π±ΠΎΡΠΎΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡΡ ΠΈ ΡΠ΅ΡΡΡΡ Π°Π²ΠΈΠ°Π΄Π²ΠΈΠ³Π°ΡΠ΅Π»Π΅ΠΉ, ΡΠΎΠΏΠ»ΠΈΠ²ΠΎΡΠ΅Π³ΡΠ»ΠΈΡΡΡΡΠ΅ΠΉ Π°ΠΏΠΏΠ°ΡΠ°ΡΡΡΡ, ΡΠΎΠΏΠ»ΠΈΠ²Π½ΡΡ
ΡΠΈΡΡΠ΅ΠΌ Π²ΠΎΠ·Π΄ΡΡΠ½ΡΡ
ΡΡΠ΄ΠΎΠ² (ΠΠ‘) ΠΊΠ°ΠΊ ΡΠ°ΠΊΡΠΎΡΠ° ΡΠ³ΡΠΎΠ·Ρ Π±Π΅Π·ΠΎΠΏΠ°ΡΠ½ΠΎΡΡΠΈ ΠΏΠΎΠ»Π΅ΡΠΎΠ² ΠΠ‘, ΠΏΡΠ΅Π΄ΡΡΠ²Π»ΡΡΡ ΠΊ ΡΠΈΡΡΠΎΡΠ΅ ΠΏΡΠΈΠΌΠ΅Π½ΡΠ΅ΠΌΠΎΠ³ΠΎ ΠΏΡΠΈ ΡΠΊΡΠΏΠ»ΡΠ°ΡΠ°ΡΠΈΠΈ Π°Π²ΠΈΠ°ΡΠΈΠΎΠ½Π½ΠΎΠΉ ΡΠ΅Ρ
Π½ΠΈΠΊΠΈ Π°Π²ΠΈΠ°ΡΠΎΠΏΠ»ΠΈΠ²Π° Π²ΡΡΠΎΠΊΠΈΠ΅ ΡΡΠ΅Π±ΠΎΠ²Π°Π½ΠΈΡ. ΠΠΌΠ΅ΡΡΠ΅ Ρ ΡΠ΅ΠΌ ΠΏΡΠΈΡΠΈΠ½Ρ ΠΈ ΠΈΡΡΠΎΡΠ½ΠΈΠΊΠΈ ΠΎΠ±Π²ΠΎΠ΄Π½Π΅Π½ΠΈΡ Π°Π²ΠΈΠ°ΡΠΎΠΏΠ»ΠΈΠ²Π° ΡΠ²Π»ΡΡΡΡΡ ΠΈΡΡΠΎΡΠ½ΠΈΠΊΠΎΠΌ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΠΎΡΠ΅ΡΡ, Π²Π°ΠΆΠ½Π΅ΠΉΡΠΈΠΌ ΠΊΡΠΈΡΠ΅ΡΠΈΠ΅ΠΌ ΡΡΠΏΠ΅ΡΠ½ΠΎΡΡΠΈ Π±ΠΈΠ·Π½Π΅ΡΠ° ΡΠΎΠΏΠ»ΠΈΠ²ΠΎΠ·Π°ΠΏΡΠ°Π²ΠΎΡΠ½ΠΎΠ³ΠΎ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ°. Π ΡΡΠ°ΡΡΠ΅ ΡΠ°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°Π΅ΡΡΡ Π·Π°Π΄Π°ΡΠ° ΡΠΎΠ·Π΄Π°Π½ΠΈΡ Π½Π°Π΄Π΅ΠΆΠ½ΡΡ
ΠΈ Π°Π²ΡΠΎΠΌΠ°ΡΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² ΠΈ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ ΠΊΠΎΠ½ΡΡΠΎΠ»Ρ ΡΡΠΈΡ
Π·Π°Π³ΡΡΠ·Π½Π΅Π½ΠΈΠΉ, Π² ΡΠ°ΡΡΠ½ΠΎΡΡΠΈ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ Π²ΠΎΠ΄Ρ Π² Π°Π²ΠΈΠ°ΡΠΎΠΏΠ»ΠΈΠ²Π΅ ΠΏΡΠΈ Π·Π°ΠΏΡΠ°Π²ΠΊΠ΅ ΠΠ‘ ΠΈ Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎΡΡΠΈ ΡΡ
ΠΎΠ΄Π° ΠΎΡ ΡΠ΅Π»ΠΎΠ²Π΅ΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠ°ΠΊΡΠΎΡΠ°. ΠΠΊΡΡΠ°Π»ΡΠ½ΡΠΌ ΡΡΠ°Π½ΠΎΠ²ΠΈΡΡΡ Π°Π²ΡΠΎΠΌΠ°ΡΠΈΠ·Π°ΡΠΈΡ ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ² ΠΌΠΎΠ½ΠΈΡΠΎΡΠΈΠ½Π³Π° ΠΊΠ°ΡΠ΅ΡΡΠ²Π° Π°Π²ΠΈΠ°ΡΠΎΠΏΠ»ΠΈΠ²Π°, ΠΏΠ΅ΡΠ΅Ρ
ΠΎΠ΄ ΠΎΡ Π΄ΠΈΡΠΊΡΠ΅ΡΠ½ΡΡ
ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² ΠΊΠΎΠ½ΡΡΠΎΠ»Ρ ΠΊ Π½Π΅ΠΏΡΠ΅ΡΡΠ²Π½ΡΠΌ, ΠΎΡ ΡΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² ΠΊΠΎΠ½ΡΡΠΎΠ»Ρ ΠΊ Π΄ΠΈΠ½Π°ΠΌΠΈΡΠ΅ΡΠΊΠΈΠΌ (ΠΏΠΎΡΠΎΡΠ½ΡΠΌ), ΠΎΡ ΠΊΠΎΡΠ²Π΅Π½Π½ΡΡ
ΡΠΏΠΎΡΠΎΠ±ΠΎΠ² ΠΊ ΠΏΡΡΠΌΡΠΌ. ΠΠΎΠΊΠ°Π·Π°Π½Ρ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ ΡΠΊΠ²ΠΎΠ·Π½ΠΎΠ³ΠΎ ΡΡΠ΅ΡΠ° ΠΈ Π°Π½Π°Π»ΠΈΠ·Π°ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² ΡΠΈΡΡΠΎΡΡ Π°Π²ΠΈΠ°ΡΠΎΠΏΠ»ΠΈΠ²Π° Π½Π° Π²ΡΠ΅Ρ
ΡΡΠ°ΠΏΠ°Ρ
ΠΆΠΈΠ·Π½Π΅Π½Π½ΠΎΠ³ΠΎ ΡΠΈΠΊΠ»Π° Π°Π²ΠΈΠ°ΡΠΎΠΏΠ»ΠΈΠ²Π°. Π Π°ΡΡΠΌΠΎΡΡΠ΅Π½Ρ ΡΠΏΠΎΡΠΎΠ±Ρ, ΠΈ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ Π°Π½Π°Π»ΠΈΠ· ΠΈΠ·Π²Π΅ΡΡΠ½ΡΡ
ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² ΠΈ ΡΡΡΡΠΎΠΉΡΡΠ², ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΠ΅ΠΌΡΡ
Π΄Π»Ρ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ, ΠΈΠ·ΠΌΠ΅ΡΠ΅Π½ΠΈΡ ΠΈ ΠΈΠ½Π΄ΠΈΠΊΠ°ΡΠΈΠΈ: ΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΎΠ±Π²ΠΎΠ΄Π½Π΅Π½Π½ΠΎΡΡΠΈ; ΠΏΡΠΈΡΡΡΡΡΠ²ΠΈΡ ΡΠ°ΡΡΠ²ΠΎΡΠ΅Π½Π½ΠΎΠΉ, ΡΠ²ΠΎΠ±ΠΎΠ΄Π½ΠΎΠΉ ΠΈ ΡΡΠΌΠΌΠ°ΡΠ½ΠΎΠΉ Π²ΠΎΠ΄Ρ Π² Π°Π²ΠΈΠ°ΡΠΎΠΏΠ»ΠΈΠ²Π΅. ΠΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½ΠΎ ΡΠ΅Ρ
Π½ΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ Π½Π΅ΠΏΡΠ΅ΡΡΠ²Π½ΠΎΠ³ΠΎ Π°Π²ΡΠΎΠΌΠ°ΡΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ ΠΊΠΎΠ½ΡΡΠΎΠ»Ρ ΡΡΠΎΠ²Π½Ρ ΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΎΠ±Π²ΠΎΠ΄Π½Π΅Π½Π½ΠΎΡΡΠΈ ΠΏΠΎΡΠΎΠΊΠ° Π°Π²ΠΈΠ°ΡΠΎΠΏΠ»ΠΈΠ²Π° Π² ΠΏΡΠΎΡΠ΅ΡΡΠ°Ρ
Π°Π²ΠΈΠ°ΡΠΎΠΏΠ»ΠΈΠ²ΠΎΠΎΠ±Π΅ΡΠΏΠ΅ΡΠ΅Π½ΠΈΡ ΠΈ Π·Π°ΠΏΡΠ°Π²ΠΊΠΈ ΠΠ‘ Π² ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΠ΅, ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠΈΠ²Π°ΡΡΠ΅ΠΉ on-line ΠΊΠΎΠ½ΡΡΠΎΠ»Ρ ΠΈ Π΄ΠΈΠ½Π°ΠΌΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΠΈΠ·ΠΌΠ΅ΡΠ΅Π½ΠΈΠ΅ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎΠ³ΠΎ ΡΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΡ ΡΠ°ΡΡΠ²ΠΎΡΠ΅Π½Π½ΠΎΠΉ ΠΈ ΡΠ²ΠΎΠ±ΠΎΠ΄Π½ΠΎΠΉ Π²ΠΎΠ΄Ρ Π² ΠΏΠΎΡΠΎΠΊΠ΅ Π°Π²ΠΈΠ°ΡΠΎΠΏΠ»ΠΈΠ²Π°. ΠΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½ΠΎ ΡΠ΅Ρ
Π½ΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ ΠΏΠΎ Π½Π΅ΠΏΡΠ΅ΡΡΠ²Π½ΠΎΠΌΡ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎΠ³ΠΎ ΡΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΡ Π²ΠΎΠ΄Ρ Π² ΠΏΠΎΡΠΎΠΊΠ΅ Π°Π²ΠΈΠ°ΡΠΎΠΏΠ»ΠΈΠ²Π°. ΠΡΠΈ ΡΡΠΎΠΌ ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ Π·Π°Π΄Π°ΡΠΈ ΠΌΠΎΠ½ΠΈΡΠΎΡΠΈΠ½Π³Π° Π²ΠΎΠ΄Ρ Π² Π°Π²ΠΈΠ°ΡΠΎΠΏΠ»ΠΈΠ²Π΅ ΡΠΎΠ²ΠΌΠ΅ΡΠ΅Π½ΠΎ Ρ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠΌ ΠΏΡΠΎΡΠ΅ΡΡΠΎΠΌ ΠΊΠΎΠ½ΡΡΠΎΠ»Ρ ΠΎΡΠΈΡΡΠΊΠΈ Π°Π²ΠΈΠ°ΡΠΎΠΏΠ»ΠΈΠ²Π° ΠΎΡ Π²ΠΎΠ΄Ρ. ΠΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Π° Π°Π΄Π°ΠΏΡΠΈΠ²Π½Π°Ρ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΠΎ-ΡΠΏΡΠ°Π²Π»ΡΡΡΠ°Ρ ΡΠΈΡΡΠ΅ΠΌΠ° Π½Π΅ΠΏΡΠ΅ΡΡΠ²Π½ΠΎΠ³ΠΎ ΠΌΠΎΠ½ΠΈΡΠΎΡΠΈΠ½Π³Π° ΡΡΠΎΠ²Π½Ρ ΠΎΠ±Π²ΠΎΠ΄Π½Π΅Π½Π½ΠΎΡΡΠΈ Π°Π²ΠΈΠ°ΡΠΎΠΏΠ»ΠΈΠ²Π° Π² ΠΏΠΎΡΠΎΠΊΠ΅, ΠΊΠΎΡΠΎΡΠ°Ρ ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΡ ΡΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎ ΠΏΠΎΠ²ΡΡΠΈΡΡ ΡΡΠΎΠ²Π΅Π½Ρ Π°Π²ΡΠΎΠΌΠ°ΡΠΈΠ·Π°ΡΠΈΠΈ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ² Π°Π²ΠΈΠ°ΡΠΎΠΏΠ»ΠΈΠ²ΠΎΠΎΠ±Π΅ΡΠΏΠ΅ΡΠ΅Π½ΠΈΡ Π²ΠΎΠ·Π΄ΡΡΠ½ΡΡ
ΡΡΠ΄ΠΎΠ², ΡΠ½ΠΈΠ·ΠΈΡΡ Π½Π΅Π³Π°ΡΠΈΠ²Π½ΠΎΠ΅ Π²Π»ΠΈΡΠ½ΠΈΠ΅ ΡΠ΅Π»ΠΎΠ²Π΅ΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠ°ΠΊΡΠΎΡΠ°, ΠΏΠΎΠ²ΡΡΠΈΡΡ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΡΡ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΡ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ° Π°Π²ΠΈΠ°ΡΠΎΠΏΠ»ΠΈΠ²ΠΎΠΎΠ±Π΅ΡΠΏΠ΅ΡΠ΅Π½ΠΈΡ. Π‘ΠΈΡΡΠ΅ΠΌΠ° ΠΏΡΠ΅Π΄Π½Π°Π·Π½Π°ΡΠ΅Π½Π° Π΄Π»Ρ ΠΎΡΡΡΠ΅ΡΡΠ²Π»Π΅Π½ΠΈΡ Π½Π΅ΠΏΡΠ΅ΡΡΠ²Π½ΠΎΠ³ΠΎ Π°Π²ΡΠΎΠΌΠ°ΡΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ ΠΊΠΎΠ½ΡΡΠΎΠ»Ρ (ΠΌΠΎΠ½ΠΈΡΠΎΡΠΈΠ½Π³Π°) ΠΎΠ±Π²ΠΎΠ΄Π½Π΅Π½Π½ΠΎΡΡΠΈ Π°Π²ΠΈΠ°ΡΠΎΠΏΠ»ΠΈΠ²Π° Π² ΠΏΠΎΡΠΎΠΊΠ΅ Π½Π° Π²ΡΠ΅Ρ
ΡΡΠ°ΠΏΠ°Ρ
Π΄Π²ΠΈΠΆΠ΅Π½ΠΈΡ Π°Π²ΠΈΠ°ΡΠΎΠΏΠ»ΠΈΠ²Π°: ΠΏΡΠΈΠ΅ΠΌΠ°, Ρ
ΡΠ°Π½Π΅Π½ΠΈΡ ΠΈ Π²ΡΠ΄Π°ΡΠΈ Π°Π²ΠΈΠ°ΡΠΎΠΏΠ»ΠΈΠ²Π°, ΠΈ Π·Π°ΠΏΡΠ°Π²ΠΊΠΈ ΠΠ‘, Π² ΡΠ°ΡΡΠ½ΠΎΡΡΠΈ ΡΠΊΠ»Π°Π΄ΠΎΠ² Π³ΠΎΡΡΡΠ΅-ΡΠΌΠ°Π·ΠΎΡΠ½ΡΡ
ΠΌΠ°ΡΠ΅ΡΠΈΠ°Π»ΠΎΠ², ΡΠΎΠΏΠ»ΠΈΠ²ΠΎΠ·Π°ΠΏΡΠ°Π²ΠΎΡΠ½ΡΡ
ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠΎΠ², ΠΈ ΠΏΡΠ½ΠΊΡΠΎΠ² ΠΏΡΠ΅Π΄ΠΏΠ΅ΡΠΎΠ½Π½ΠΎΠ³ΠΎ Π½Π°Π»ΠΈΠ²Π°, Π° ΡΠ°ΠΊΠΆΠ΅ ΠΌΠΎΠΆΠ΅Ρ Π±ΡΡΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½Π° Π² ΡΠΎΠΏΠ»ΠΈΠ²Π½ΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΠ΅ ΠΠ‘ ΠΊΠ°ΠΊ ΡΠΈΡΡΠ΅ΠΌΠ° ΠΏΡΠ΅Π΄ΠΎΡΠ²ΡΠ°ΡΠ΅Π½ΠΈΡ ΠΎΠ±Π²ΠΎΠ΄Π½Π΅Π½ΠΈΡ Π°Π²ΠΈΠ°ΡΠΎΠΏΠ»ΠΈΠ²Π°. ΠΠ½Π΅Π΄ΡΠ΅Π½ΠΈΠ΅ ΡΡΠ΅Π΄ΡΡΠ² Π°Π²ΡΠΎΠΌΠ°ΡΠΈΠ·Π°ΡΠΈΠΈ ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΡ ΠΏΠΎΠ²ΡΡΠΈΡΡ ΠΊΠ°ΡΠ΅ΡΡΠ²ΠΎ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΠΏΡΠΎΡΠ΅ΡΡΠ°ΠΌΠΈ Π°Π²ΠΈΠ°ΡΠΎΠΏΠ»ΠΈΠ²ΠΎΠΎΠ±Π΅ΡΠΏΠ΅ΡΠ΅Π½ΠΈΡ ΠΈ Π·Π°ΠΏΡΠ°Π²ΠΊΠΈ ΠΠ‘ Π΄Π»Ρ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠ΅Π½ΠΈΡ ΠΏΡΠΈΠ½ΡΡΠΈΡ ΡΠ²ΠΎΠ΅Π²ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ
ΠΎΠΏΠ΅ΡΠ°ΡΠΈΠ²Π½ΡΡ
ΡΠ΅ΡΠ΅Π½ΠΈΠΉ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΡΠ΅Π°Π»ΡΠ½ΡΡ
Π΄Π°Π½Π½ΡΡ
Π² ΡΠ΅Π°Π»ΡΠ½ΠΎΠΌ ΡΠ΅ΠΆΠΈΠΌΠ΅ Π²ΡΠ΅ΠΌΠ΅Π½ΠΈ ΠΏΡΠΈ ΡΡΠ»ΠΎΠ²ΠΈΠΈ ΠΈΠ½ΡΠ΅Π³ΡΠ°ΡΠΈΠΈ ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π½ΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ Π² ΡΠΈΡΡΠ΅ΠΌΡ Π°ΡΡΠΎΠΏΠΎΡΡΠ° Π΄Π»Ρ ΠΎΠΏΠ΅ΡΠ°ΡΠΈΠ²Π½ΠΎΠ³ΠΎ ΠΎΠ±ΠΌΠ΅Π½Π° Π΄Π°Π½Π½ΡΠΌΠΈ
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