105 research outputs found
Estimation computational models of the cyber-physical systems functioning
This paper reviews the use of computational models to support the functioning of cyber-physical systems (CPS) in the parallel world of the Internet of Things (IoT). Existing models, methods, techniques and their implementation in this direction are studied. The necessity of using machine learning methods due to inaccuracy, fuzziness, incompleteness of the transmitted data from sensors of physical systems is substantiated. The task is to make informed decisions in a timely manner to support the functioning of real objects of a particular cyber-physical system in real time conditions
Morphological model for underground crossings of water objects
The construction of morphological model is considered for undesirable events regarding urban objects, as well as the consequences of such events, including interruption of operation, feasibility and time of restoration, material damage and casualties, ecological risks. Using this model, two-stage modified morphological analysis was conducted for two types of objects: pipe and tunnel depressed sewers. The results of comparison for depressed sewer crossings using the developed model are demonstrated both for the whole multitude of potential undesirable events and for the specific scenarios of sabotage, landslide, operational damage. The advantage of a tunneled depressed sewer over a pipe one is justified from the standpoint of minimization of technogenic and ecological risks of sewage draining
Prevention of bullying among adolescents in the educational institution
The article investigates the problem of bullying as a kind of destructive interaction in the school teenage environment.Π ΡΡΠ°ΡΡΠ΅ ΠΈΡΡΠ»Π΅Π΄ΡΠ΅ΡΡΡ ΠΏΡΠΎΠ±Π»Π΅ΠΌΠ° Π±ΡΠ»Π»ΠΈΠ½Π³Π° ΠΊΠ°ΠΊ Π²ΠΈΠ΄Π° Π΄Π΅ΡΡΡΡΠΊΡΠΈΠ²Π½ΠΎΠ³ΠΎ Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΠΈΡ Π² ΡΠΊΠΎΠ»ΡΠ½ΠΎΠΉ ΠΏΠΎΠ΄ΡΠΎΡΡΠΊΠΎΠ²ΠΎΠΉ ΡΡΠ΅Π΄Π΅
Influence of magnetic anisotropy on hysteresis behavior in the two-spin model of a ferro/antiferromagnet bilayer with exchange bias
The influence of magnetic anisotropy of a ferromagnetic film on the phenomenon of exchange bias is studied here. Hysteresis behavior in the two-spin model of a ferro/antiferromagnetic (FM/AFM) bilayer with exchange bias has been investigated in detail. In this model a half-space of an AFM with fixed magnetic configuration comes in contact with a two-layer FM film. Twelve different types of magnetization curves M(H) (both with and without hysteresis) have been found. Some of the M(H) curves demonstrate unusual features, such as plateaus and inclined segments. The hysteresis loop becomes asymmetric if surface anisotropy is taken into account
ΠΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½Π°Ρ ΡΠΈΡΡΠ΅ΠΌΠ° Π΄Π»Ρ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΈ ΠΎΡΠ΅Π½ΠΈΠ²Π°Π½ΠΈΡ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΡΡ ΠΎΠΏΠ΅ΡΠ°ΡΠΈΠΎΠ½Π½ΡΡ ΡΠΈΡΠΊΠΎΠ² Ρ ΠΏΠΎΠΌΠΎΡΡΡ Π±Π°ΠΉΠ΅ΡΠΎΠ²ΡΠΊΠΎΠΉ ΡΠ΅ΡΠΈ
Π ΠΎΠ·Π³Π»ΡΠ½ΡΡΠΎ Π·Π°Π΄Π°ΡΡ ΠΎΡΡΠ½ΡΠ²Π°Π½Π½Ρ ΡΡΠ½Π°Π½ΡΠΎΠ²ΠΎΠ³ΠΎ ΠΎΠΏΠ΅ΡΠ°ΡΡΠΉΠ½ΠΎΠ³ΠΎ ΡΠΈΠ·ΠΈΠΊΡ Π·Π° Π΄ΠΎΠΏΠΎΠΌΠΎΠ³ΠΎΡ ΠΉΠΌΠΎΠ²ΡΡΠ½ΡΡΠ½ΠΎΡ Π±Π°ΠΉΡΡΡΠ²ΡΡΠΊΠΎΡ ΠΌΠ΅ΡΠ΅ΠΆΡ. ΠΠΎΡΠ»ΡΠ΄ΠΆΠ΅Π½ΠΎ ΠΏΡΠΈΡΠΈΠ½ΠΈ Π²ΠΈΠ½ΠΈΠΊΠ½Π΅Π½Π½Ρ ΡΡΠ½Π°Π½ΡΠΎΠ²ΠΈΡ
ΠΎΠΏΠ΅ΡΠ°ΡΡΠΉΠ½ΠΈΡ
ΡΠΈΠ·ΠΈΠΊΡΠ² Ρ ΡΡΠ½Π°Π½ΡΠΎΠ²ΠΈΡ
ΠΎΡΠ³Π°Π½ΡΠ·Π°ΡΡΡΡ
. ΠΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΠΎ Π°ΠΊΡΡΠ°Π»ΡΠ½ΠΎΡ Π·Π°Π΄Π°ΡΠ΅Ρ Π΄Π»Ρ ΡΠ°ΠΊΠΈΡ
ΠΎΡΠ³Π°Π½ΡΠ·Π°ΡΡΠΉ Ρ ΡΡΠ²ΠΎΡΠ΅Π½Π½Ρ ΡΠΈΡΡΠ΅ΠΌ ΠΌΠ΅Π½Π΅Π΄ΠΆΠΌΠ΅Π½ΡΡ ΡΡΠ½Π°Π½ΡΠΎΠ²ΠΈΡ
ΡΠΈΠ·ΠΈΠΊΡΠ² Π½Π° ΠΎΡΠ½ΠΎΠ²Ρ ΡΡΡΠ°ΡΠ½ΠΈΡ
ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ½ΠΈΡ
ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ, Π·ΠΎΠΊΡΠ΅ΠΌΠ° ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ, ΠΏΠΎΠ±ΡΠ΄ΠΎΠ²Π°Π½ΠΈΡ
Π·Π° ΠΌΠ΅ΡΠΎΠ΄Π°ΠΌΠΈ ΡΠ½ΡΠ΅Π»Π΅ΠΊΡΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΡΠ·Ρ Π΄Π°Π½ΠΈΡ
. ΠΠ°ΠΏΡΠΎΠΏΠΎΠ½ΠΎΠ²Π°Π½ΠΎ ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΡ ΠΏΠΎΠ±ΡΠ΄ΠΎΠ²ΠΈ ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ Ρ ΡΠΎΡΠΌΡ ΠΠ Π· Π²ΠΈΠΊΠΎΡΠΈΡΡΠ°Π½Π½ΡΠΌ Π²Π·Π°ΡΠΌΠ½ΠΎΡ ΡΠ½ΡΠΎΡΠΌΠ°ΡΡΡ Π·ΠΌΡΠ½Π½ΠΈΡ
ΠΌΠ΅ΡΠ΅ΠΆΡ ΡΠ° ΠΊΡΠΈΡΠ΅ΡΡΡ ΡΠΊΠΎΡΡΡ ΡΡΡΡΠΊΡΡΡΠΈ Π½Π° ΠΎΡΠ½ΠΎΠ²Ρ ΠΎΠΏΠΈΡΡ ΠΌΠ΅ΡΠ΅ΠΆΡ ΠΌΡΠ½ΡΠΌΠ°Π»ΡΠ½ΠΎΡ Π΄ΠΎΠ²ΠΆΠΈΠ½ΠΈ. Π‘ΡΠ²ΠΎΡΠ΅Π½ΠΎ ΡΠ½ΡΠΎΡΠΌΠ°ΡΡΠΉΠ½Ρ ΡΠΈΡΡΠ΅ΠΌΡ Π΄Π»Ρ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ½ΠΎΠ³ΠΎ ΠΌΠΎΠ΄Π΅Π»ΡΠ²Π°Π½Π½Ρ ΡΠ° ΠΎΡΡΠ½ΡΠ²Π°Π½Π½Ρ ΡΡΠ½Π°Π½ΡΠΎΠ²ΠΈΡ
ΡΠΈΠ·ΠΈΠΊΡΠ², ΡΠΊΠ° Π½Π°Π΄Π°Ρ ΠΌΠΎΠΆΠ»ΠΈΠ²ΡΡΡΡ Π²ΠΈΠΊΠΎΡΠΈΡΡΠΎΠ²ΡΠ²Π°ΡΠΈ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ½Ρ Π΄Π°Π½Ρ ΡΠ° Π΅ΠΊΡΠΏΠ΅ΡΡΠ½Ρ ΠΎΡΡΠ½ΠΊΠΈ Ρ Ρ
ΠΎΠ΄Ρ ΠΏΠΎΠ±ΡΠ΄ΠΎΠ²ΠΈ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ½ΠΈΡ
ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ.The problem of financial operational risks using Bayesian network was considered. The causes for operational risks in financial institutions were studied. It was shown that an urgent task for such an organization was development and implementation of financial risks management systems on the basis of modern models constructed with data mining techniques. A methodology was provided for constructing models in the form of Bayesian network using mutual information for the variables involved and the structure quality criterion based on the description of a minimum length network. Also, the information processing system has been developed for mathematical modeling and estimation of financial risks that uses statistical data and expert estimates as inputs for model building.Π Π°ΡΡΠΌΠΎΡΡΠ΅Π½Π° Π·Π°Π΄Π°ΡΠ° ΠΎΡΠ΅Π½ΠΈΠ²Π°Π½ΠΈΡ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΠΎΠ³ΠΎ ΠΎΠΏΠ΅ΡΠ°ΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ ΡΠΈΡΠΊΠ° Ρ ΠΏΠΎΠΌΠΎΡΡΡ Π²Π΅ΡΠΎΡΡΠ½ΠΎΡΡΠ½ΠΎΠΉ Π±Π°ΠΉΠ΅ΡΠΎΠ²ΡΠΊΠΎΠΉ ΡΠ΅ΡΠΈ. ΠΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½Ρ ΠΏΡΠΈΡΠΈΠ½Ρ Π²ΠΎΠ·Π½ΠΈΠΊΠ½ΠΎΠ²Π΅Π½ΠΈΡ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΡΡ
ΠΎΠΏΠ΅ΡΠ°ΡΠΈΠΎΠ½Π½ΡΡ
ΡΠΈΡΠΊΠΎΠ² Π² ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΡΡ
ΠΎΡΠ³Π°Π½ΠΈΠ·Π°ΡΠΈΡΡ
. ΠΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΡΠΎ Π°ΠΊΡΡΠ°Π»ΡΠ½ΠΎΠΉ Π·Π°Π΄Π°ΡΠ΅ΠΉ Π΄Π»Ρ ΡΠ°ΠΊΠΈΡ
ΠΎΡΠ³Π°Π½ΠΈΠ·Π°ΡΠΈΠΉ Π΅ΡΡΡ ΡΠΎΠ·Π΄Π°Π½ΠΈΠ΅ ΡΠΈΡΡΠ΅ΠΌ ΠΌΠ΅Π½Π΅Π΄ΠΆΠΌΠ΅Π½ΡΠ° ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΡΡ
ΡΠΈΡΠΊΠΎΠ² Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ
ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ, Π² ΡΠ°ΡΡΠ½ΠΎΡΡΠΈ, ΠΏΠΎΡΡΡΠΎΠ΅Π½Π½ΡΡ
Ρ ΠΏΠΎΠΌΠΎΡΡΡ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² ΠΈΠ½ΡΠ΅Π»Π»Π΅ΠΊΡΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π° Π΄Π°Π½Π½ΡΡ
. ΠΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π° ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠ° ΠΏΠΎΡΡΡΠΎΠ΅Π½ΠΈΡ ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ Π² ΡΠΎΡΠΌΠ΅ ΠΠ‘ Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ Π²Π·Π°ΠΈΠΌΠ½ΠΎΠΉ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ ΠΏΠ΅ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ
ΡΠ΅ΡΠΈ ΠΈ ΠΊΡΠΈΡΠ΅ΡΠΈΡ ΠΊΠ°ΡΠ΅ΡΡΠ²Π° ΡΡΡΡΠΊΡΡΡΡ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΠΎΠΏΠΈΡΠ°Π½ΠΈΡ ΡΠ΅ΡΠΈ ΠΌΠΈΠ½ΠΈΠΌΠ°Π»ΡΠ½ΠΎΠΉ Π΄Π»ΠΈΠ½Ρ. Π‘ΠΎΠ·Π΄Π°Π½Π° ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½Π°Ρ ΡΠΈΡΡΠ΅ΠΌΠ° Π΄Π»Ρ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΈ ΠΎΡΠ΅Π½ΠΈΠ²Π°Π½ΠΈΡ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΡΡ
ΡΠΈΡΠΊΠΎΠ², ΠΊΠΎΡΠΎΡΠ°Ρ Π΄Π°Π΅Ρ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΡ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ Π΄Π°Π½Π½ΡΠ΅ ΠΈ ΡΠΊΡΠΏΠ΅ΡΡΠ½ΡΠ΅ ΠΎΡΠ΅Π½ΠΊΠΈ ΠΏΡΠΈ ΠΏΠΎΡΡΡΠΎΠ΅Π½ΠΈΠΈ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ
How do methanol masers manage to appear in the youngest star vicinities and isolated molecular clumps?
General characteristics of methanol (CH3OH) maser emission are summarized. It
is shown that methanol maser sources are concentrated in the spiral arms. Most
of the methanol maser sources from the Perseus arm are associated with embedded
stellar clusters and a considerable portion is situated close to compact HII
regions. Almost 1/3 of the Perseus Arm sources lie at the edges of optically
identified HII regions which means that massive star formation in the Perseus
Arm is to a great extent triggered by local phenomena. A multiline analysis of
the methanol masers allows us to determine the physical parameters in the
regions of maser formation. Maser modelling shows that class II methanol masers
can be pumped by the radiation of the warm dust as well as by free-free
emission of a hypercompact region hcHII with a turnover frequency exceeding 100
GHz. Methanol masers of both classes can reside in the vicinity of hcHIIs.
Modelling shows that periodic changes of maser fluxes can be reproduced by
variations of the dust temperature by a few percent which may be caused by
variations in the brightness of the central young stellar object reflecting the
character of the accretion process. Sensitive observations have shown that the
masers with low flux densities can still have considerable amplification
factors. The analysis of class I maser surveys allows us to identify four
distinct regimes that differ by the series of their brightest lines.Comment: 8 pages, 4 figures, invited presentation at IAU242 "Astrophysical
Masers and their environments
Bullying as a social and psychological phenomenon: analysis of theoretical approaches and empirical research
The article describes the features of bullying at the present time and suggests measures to prevent violence in the school community.Π ΡΡΠ°ΡΡΠ΅ ΠΎΠΏΠΈΡΠ°Π½Ρ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠΈ ΠΏΡΠΎΡΠ²Π»Π΅Π½ΠΈΡ Π±ΡΠ»Π»ΠΈΠ½Π³Π° Π² Π½Π°ΡΡΠΎΡΡΠ΅Π΅ Π²ΡΠ΅ΠΌΡ ΠΈ ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Ρ ΠΌΠ΅ΡΡ ΠΏΠΎ ΠΏΡΠ΅Π΄ΠΎΡΠ²ΡΠ°ΡΠ΅Π½ΠΈΡ Π½Π°ΡΠΈΠ»ΠΈΡ Π² ΡΠΊΠΎΠ»ΡΠ½ΠΎΠΌ ΠΊΠΎΠ»Π»Π΅ΠΊΡΠΈΠ²Π΅
Comparative Analysis of Adolescences, Living in Areas with Different Levels of Urbanization, to Bulling
ΠΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ Π±ΡΠ»Π»ΠΈΠ½Π³Π° Π² ΡΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ ΡΠΊΠΎΠ»ΡΠ½ΠΎΠΉ ΡΡΠ΅Π΄Π΅ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΎ Π² ΡΠ°ΠΌΠΊΠ°Ρ
Π΄Π²ΡΡ
ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ΠΎΠ²: ΡΠΈΠΌΠ²ΠΎΠ»ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΈΠ½ΡΠ΅ΡΠ°ΠΊΡΠΈΠΎΠ½ΠΈΠ·ΠΌΠ°, Π° ΡΠ°ΠΊΠΆΠ΅ ΠΏΡΠΈΡ
ΠΎΠ»ΠΎΠ³ΠΈΠΈ ΠΈ ΡΠΎΡΠΈΠΎΠ»ΠΎΠ³ΠΈΠΈ Π΄Π΅Π²ΠΈΠ°Π½ΡΠ½ΠΎΡΡΠΈ. Π‘Π±ΠΎΡ ΡΠΌΠΏΠΈΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΌΠ°ΡΠ΅ΡΠΈΠ°Π»Π° ΠΏΠΈΠ»ΠΎΡΠ°ΠΆΠ½ΠΎΠ³ΠΎ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΏΡΠΎΡ
ΠΎΠ΄ΠΈΠ» ΠΏΡΡΠ΅ΠΌ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΡ ΠΏΡΠΈΡ
ΠΎΠ»ΠΎΠ³ΠΎ-ΠΏΠ΅Π΄Π°Π³ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠΈ "ΠΠΏΡΠΎΡΠ½ΠΈΠΊ ΡΠΈΡΠΊΠ° Π±ΡΠ»Π»ΠΈΠ½Π³Π°" (Π. Π. ΠΠΎΡΠ°Π²Π΅Ρ ΠΈ Π΄Ρ.) ΡΡΠ΅Π΄ΠΈ 247 cΡΠ°ΡΡΠ΅ΠΊΠ»Π°ΡΡΠ½ΠΈΠΊΠΎΠ² Π‘Π²Π΅ΡΠ΄Π»ΠΎΠ²ΡΠΊΠΎΠΉ ΠΎΠ±Π»Π°ΡΡΠΈ.The study of bullying in the Russian school environment was conducted within the framework of two methodological approaches: symbolic interactivityism, as well as psychology and deviance sociology. The empirical material of the pilot study was collected through the use of the psychological and pedagogical method βBullying Risk Questionnaireβ (A. A. Bochaver and others) among 247 high school students of the Sverdlovsk region
Clinical, hemodynamical and structury-functional correlations in chronic kidney diseases in children
156 children with different kidney chronic disease were examined, including 122 children with chronic pyelonephritis and 34 - chronic glomerulonephritis with nephrotic syndrome. The identified risk factors for the development of nephrological pathology were an unfavorable obstetric and gynecologic anamnesis, occupational hazard and motherβs urogenital pathology, hereditary predisposition and connective tissue dysplasia in the organs and cells. The identified intrarenal blood flow disorders revealed in the form of the intrarenal vascular pattern with a lower blood flow velocity together with tubular and glomerular dysfunction were considered predictors of the developing nephrosclerosis. The morphological characteristic of kidney diseases was presented by signs of pyelonephritis, different morphological variants of glomerulonephritis (prevailing variant was the mesangeoproliferative glomerulonepritis - 69%) and corticomedullary dysplasia with tubulointerstitial component.ΠΠ±ΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΎ 156 Π΄Π΅ΡΠ΅ΠΉ Ρ Ρ
ΡΠΎΠ½ΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡΠΌΠΈ ΠΏΠΎΡΠ΅ΠΊ: 122 - Ρ Ρ
ΡΠΎΠ½ΠΈΡΠ΅ΡΠΊΠΈΠΌ ΠΏΠΈΠ΅Π»ΠΎΠ½Π΅ΡΡΠΈΡΠΎΠΌ, 34 - Ρ Π½Π΅ΡΡΠΎΡΠΈΡΠ΅ΡΠΊΠΈΠΌ ΡΠΈΠ½Π΄ΡΠΎΠΌΠΎΠΌ Ρ
ΡΠΎΠ½ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π³Π»ΠΎΠΌΠ΅ΡΡΠ»ΠΎΠ½Π΅ΡΡΠΈΡΠ°. Π€Π°ΠΊΡΠΎΡΠ°ΠΌΠΈ ΡΠΈΡΠΊΠ° ΡΠ°Π·Π²ΠΈΡΠΈΡ Π½Π΅ΡΡΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΏΠ°ΡΠΎΠ»ΠΎΠ³ΠΈΠΈ Ρ Π½Π°Π±Π»ΡΠ΄Π°Π΅ΠΌΡΡ
Π΄Π΅ΡΠ΅ΠΉ ΡΠ²ΠΈΠ»ΠΈΡΡ: Π½Π΅Π±Π»Π°Π³ΠΎΠΏΡΠΈΡΡΠ½ΡΠΉ Π°ΠΊΡΡΠ΅ΡΡΠΊΠΎ-Π³ΠΈΠ½Π΅ΠΊΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠΉ Π°Π½Π°ΠΌΠ½Π΅Π·, ΠΏΡΠΎΡΠ΅ΡΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΠ΅ Π²ΡΠ΅Π΄Π½ΠΎΡΡΠΈ ΠΈ ΡΡΠΎΠ³Π΅Π½ΠΈΡΠ°Π»ΡΠ½Π°Ρ ΠΏΠ°ΡΠΎΠ»ΠΎΠ³ΠΈΡ ΠΌΠ°ΡΠ΅ΡΠ΅ΠΉ, Π½Π°ΡΠ»Π΅Π΄ΡΡΠ²Π΅Π½Π½Π°Ρ ΠΏΡΠ΅Π΄ΡΠ°ΡΠΏΠΎΠ»ΠΎΠΆΠ΅Π½Π½ΠΎΡΡΡ, ΡΠΎΠ΅Π΄ΠΈΠ½ΠΈΡΠ΅Π»ΡΠ½ΠΎ-ΡΠΊΠ°Π½Π½Π°Ρ Π΄ΠΈΡΠΏΠ»Π°Π·ΠΈΡ Π½Π° ΠΎΡΠ³Π°Π½Π½ΠΎΠΌ, ΡΡΡΡΠΊΡΡΡΠ½ΠΎΠΌ ΡΡΠΎΠ²Π½ΡΡ
ΠΈ ΠΈΡ
ΡΠΎΡΠ΅ΡΠ°Π½ΠΈΠΈ. ΠΡΡΠ²Π»Π΅Π½Π½ΡΠ΅ Π½Π°ΡΡΡΠ΅Π½ΠΈΡ Π²Π½ΡΡΡΠΈΠΏΠΎΡΠ΅ΡΠ½ΠΎΠ³ΠΎ ΠΊΡΠΎΠ²ΠΎΡΠΎΠΊΠ° Π² Π²ΠΈΠ΄Π΅ ΠΎΠ±Π΅Π΄Π½Π΅Π½ΠΈΡ ΠΈΠ½ΡΡΠ°ΡΠ΅Π½Π°Π»ΡΠ½ΠΎΠ³ΠΎ ΡΠΎΡΡΠ΄ΠΈΡΡΠΎΠ³ΠΎ ΡΠΈΡΡΠ½ΠΊΠ° ΡΠΎ ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΠ΅ΠΌ ΡΠΊΠΎΡΠΎΡΡΠ½ΡΡ
ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ Π² ΡΠΎΡΠ΅ΡΠ°Π½ΠΈΠΈ Ρ ΡΡΠ±ΡΠ»ΡΡΠ½ΡΠΌΠΈ ΠΈ Π³Π»ΠΎΠΌΠ΅ΡΡΠ»ΡΡΠ½ΡΠΌΠΈ Π΄ΠΈΡΡΡΠ½ΠΊΡΠΈΡΠΌΠΈ ΡΠ»Π΅Π΄ΡΠ΅Ρ ΡΠ°ΡΡΠ΅Π½ΠΈΠ²Π°ΡΡ ΠΊΠ°ΠΊ ΠΏΡΠ΅Π΄ΠΈΠΊΡΠΎΡΡ ΡΠ°Π·Π²ΠΈΠ²Π°ΡΡΠ΅Π³ΠΎΡΡ Π½Π΅ΡΡΠΎΡΠΊΠ»Π΅ΡΠΎΠ·Π°. ΠΠΎΡΡΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠ°Ρ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠ° Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ ΠΏΠΎΡΠ΅ΠΊ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Π° ΠΏΡΠΈΠ·Π½Π°ΠΊΠ°ΠΌΠΈ ΠΏΠΈΠ΅Π»ΠΎΠ½Π΅ΡΡΠΈΡΠ° ΠΈ ΡΠ°Π·Π»ΠΈΡΠ½ΡΠΌΠΈ Π²Π°ΡΠΈΠ°Π½ΡΠ°ΠΌΠΈ Π³Π»ΠΎΠΌΠ΅ΡΡΠ»ΠΎΠ½Π΅ΡΡΠΈΡΠ° (ΠΏΡΠ΅ΠΎΠ±Π»Π°Π΄Π°Π» ΠΌΠ΅Π·Π°Π½Π³ΠΈΠΎΠΏΡΠΎΠ»ΠΈΡΠ΅ΡΠ°ΡΠΈΠ²Π½ΡΠΉ Π³Π»ΠΎΠΌΠ΅ΡΡΠ»ΠΎΠ½Π΅ΡΡΠΈΡ - 69%), ΠΊΠΎΡΡΠΈΠΊΠΎ-ΠΌΠ΅Π΄ΡΠ»Π»ΡΡΠ½ΠΎΠΉ Π΄ΠΈΡΠΏΠ»Π°Π·ΠΈΠ΅ΠΉ Ρ ΡΡΠ±ΡΠ»ΠΎΠΈΠ½ΡΠ΅ΡΡΡΠΈΡΠΈΠ°Π»ΡΠ½ΡΠΌ ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½ΡΠΎΠΌ
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