764 research outputs found
STATE AND DIRECTIONS OF DEVELOPMENT OF THE GERMAN MILITARY-INDUSTRIAL COMPLEX
The development of the defense industry in Western Europe is of particular interest to political-academic research. This area has become especially relevant in the context of the escalation
of the European security crisis in the spring of 2022. The study of the countryβs defense industrial
complex allows us to analyze the goals and objectives that are currently faced by the German political and military leadership. Procurement and R&D are a key focus of the study. The tasks set before the German DIC indicate the new plans of the countryβs politico-military leadership for the
development of the Bundeswehr. Their analysis may make it possible to predict the future development of the military-industrial complex. The purpose of the study is to analyze the current state of
the German DIC. The hypothesis of the study is that the countryβs military industry has many attributes indicating the countryβs leadership in the organization of military-industrial cooperation between allies and partners, collective military and security policy in Europe. This article is a structured analysis of the development of the German DIC and is intended to fill the lack of information
regarding future scenarios for the development of the German DIC
PCV67 COST-EFFECTIVENESS OF FONDAPARINUX VS. ENOXAPARIN IN NON-ST-ELEVATION ACUTE CORONARY SYNDROMES IN RUSSIA
Decision support system for the expert assessment of social risks
The study is devoted to the development of decision support systems in the expert assessment of social risk
Algorithm for individual learning content formation in automated machine learning system
The study describes the algorithms used in the formation of individual learning content which can be used in machine learning. The algorithm for generating educational content based on the input test procedure, thereby reducing the number of elementary units of knowledge in the educational conten
System analysis of properties of coatings and indicators of the process of plasma and electrolytic oxidations quality
The article is devoted to solution of the problem of systematization of the parameters for the model that associate the properties of the obtained coatings with the qualitative properties of coatings on the basis of the method of plasma-electrolytic oxidation (PEO) of valve metals. Nowadays for the synthesis of the required parameters of technological processing regimes (electrical regimes, concentrations of the components of the electrolyte) in the process of coatingsβ forming various measured parameters of the coating are use
HIERARCHICAL CLUSTERIZATION AND DEEP LEARNING MODEL RANDOM FOREST OF BANKSβ STABILITY UNDER RISK CONDITIONS
Certain theoretical aspects of the stability of Russian banks under risk conditions have been studied. The relevance is due to the fact that in conditions of market uncertainty and risk, approaches to ensure the stability of banks using artificial intelligence are increasingly being used. The goal is to identify patterns between the characteristics of Assets and ROA (Return on Assets), an indicator of return on assets, and obtain a forecast value of Sberbankβs net profit. The result of the study was hierarchical clustering, as well as the generated DeepΒ Learning model Random Forest, which calculated the predicted value of the Sberbankβs net profit. The novelty lies in the fact that the work puts forward and proves the hypothesis that using the Random Forest DeepΒ learning model, a forecast of the net profit of commercial banks can be obtained, which predetermines the stability and dynamics of their development. The conclusions from the study boil down to the fact that a DeepΒ Learning model Random Forest was developed to forecast the amount of net profit, which for Sberbank for 2023 amounted to 38,631 billion rubles, which coincided with its actual value. The area of application of the results obtained is commercial banks
Plasticity of an extra-strong nanocrystalline stainless steel controlled by the "dislocation-segregation'' interaction
We study three structurally different states of nanocrystalline 316 steel and
show that the state, where boundaries containing excess concentration of
alloying elements are combined with mobile dislocations in grain interiors,
allows maintaining extraordinarily high strength and remarkably enhanced
plasticity. Underlying mechanisms featuring interaction between the
segregations and mobile dislocations are discussed
ΠΠ½Π°ΡΠΈΠΌΠΎΡΡΡ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠ°Π±ΠΎΡΡ ΠΊΡΡΠΏΠ½ΡΡ Π½Π°ΡΠΎΡΠ½ΡΡ ΡΡΠ°Π½ΡΠΈΠΉ
The article presents main design and structure principles of pumping stations. It specifies basic requirements for the favorable hydraulic operation conditions of the pumping units. The article also describes the designing cases, when computational modeling is necessary to analyse activity of pumping station and provide its reliable operation. A specific example of the large pumping station with submersible pumps describes the process of computational modeling of its operation. As the object of simulation was selected the underground pumping station with a diameter of 26 m and a depth of 13 m, divided into two independent branches, equipped with 8 submersible pumps. The objective of this work was to evaluate the effectiveness of the design solution by CFD methods, to analyze the design of the inlet chamber, to identify possible difficulties with the operation of the facility. In details are described the structure of the considered pumping station and applied computational models of physical processes. The article gives the detailed formulation of the task of simulation and the methods of its solving and presents the initial and boundary conditions. It describes the basic operation modes of the pumping station. The obtained results were presented as the flow patterns for each operation mode with detailed explanations. Data obtained as a result of CFD, prove the correctness of the general design solutions of the project. The submersible pump operation at the minimum water level was verified, was confirmed a lack of vortex formation as well as were proposed measures to improve the operating conditions of the facility. In the inlet chamber there are shown the stagnant zones, requiring separate schedule of cleaning. The measure against floating debris and foam was proposed. It justifies the use of computational modeling (CFD) for the verifying and adjusting of the projects of large pumping stations as a much more precise tool that takes into account all the features of the object compared to the empirical formulas.ΠΡΠΈΠ²ΠΎΠ΄ΠΈΡΡΡ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΠΉ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ ΠΊ ΠΏΡΠΎΠ΅ΠΊΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΊΡΡΠΏΠ½ΡΡ
Π½Π°ΡΠΎΡΠ½ΡΡ
ΡΡΠ°Π½ΡΠΈΠΉ. ΠΠΏΠΈΡΡΠ²Π°Π΅ΡΡΡ ΠΊΠΎΠ½ΡΡΡΡΠΊΡΠΈΠ²Π½ΠΎΠ΅ ΠΎΡΠΎΡΠΌΠ»Π΅Π½ΠΈΠ΅ Π·Π°Π³Π»ΡΠ±Π»Π΅Π½Π½ΠΎΠΉ ΡΡΠ°Π½ΡΠΈΠΈ Π΄ΠΈΠ°ΠΌΠ΅ΡΡΠΎΠΌ 26 ΠΌΠ΅ΡΡΠΎΠ², Π³Π»ΡΠ±ΠΈΠ½ΠΎΠΉ 13 ΠΌΠ΅ΡΡΠΎΠ², Ρ ΠΏΠΎΠ³ΡΡΠΆΠ½ΡΠΌΠΈ Π½Π°ΡΠΎΡΠ½ΡΠΌΠΈ Π°Π³ΡΠ΅Π³Π°ΡΠ°ΠΌΠΈ. ΠΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Ρ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ Π³ΠΈΠ΄ΡΠΎΠ΄ΠΈΠ½Π°ΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ (CFD) ΠΊΠΎΠ½ΠΊΡΠ΅ΡΠ½ΠΎΠ³ΠΎ ΠΎΠ±ΡΠ΅ΠΊΡΠ°. ΠΡΠΎΠ²ΠΎΠ΄ΠΈΡΡΡ Π°Π½Π°Π»ΠΈΠ· ΡΠ°Π·ΡΠ°Π±ΠΎΡΠ°Π½Π½ΠΎΠΉ ΠΏΡΠΎΠ΅ΠΊΡΠΎΠΌ ΠΏΡΠΈΠ΅ΠΌΠ½ΠΎΠΉ ΠΊΠ°ΠΌΠ΅ΡΡ Ρ ΡΠ΅Π»ΡΡ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΡΡ
ΠΏΡΠΎΠ±Π»Π΅ΠΌ ΠΏΡΠΈ ΡΠΊΡΠΏΠ»ΡΠ°ΡΠ°ΡΠΈΠΈ Π½Π°ΡΠΎΡΠ½ΠΎΠΉ ΡΡΠ°Π½ΡΠΈΠΈ ΠΈ ΠΏΡΠ΅Π΄Π»Π°Π³Π°ΡΡΡΡ ΠΌΠ΅ΡΡ Π΄Π»Ρ ΡΠ»ΡΡΡΠ΅Π½ΠΈΡ ΡΡΠ»ΠΎΠ²ΠΈΠΉ Π΅Π΅ ΡΠ°Π±ΠΎΡΡ. ΠΡΠΈΠ²Π΅Π΄Π΅Π½ΠΎ ΡΡΠ°Π²Π½Π΅Π½ΠΈΠ΅ ΡΠ°ΡΡΠ΅ΡΠ° ΠΌΠΈΠ½ΠΈΠΌΠ°Π»ΡΠ½ΡΡ
ΡΡΠΎΠ²Π½Π΅ΠΉ Π²ΠΎΠ΄Ρ Π² Π½Π°ΡΠΎΡΠ½ΡΡ
ΡΡΠ°Π½ΡΠΈΡΡ
ΠΏΠΎ ΡΠΌΠΏΠΈΡΠΈΡΠ΅ΡΠΊΠΈΠΌ Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡΡΠΌ ΠΈ Ρ ΠΏΠΎΠΌΠΎΡΡΡ ΠΌΠ΅ΡΠΎΠ΄Π° Π²ΡΡΠΈΡΠ»ΠΈΡΠ΅Π»ΡΠ½ΠΎΠΉ Π³ΠΈΠ΄ΡΠΎΠ΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΈ. ΠΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΎ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ Π³ΠΈΠ΄ΡΠΎΠ΄ΠΈΠ½Π°ΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π΄Π»Ρ ΠΏΡΠΎΠ²Π΅ΡΠΊΠΈ ΠΈ ΠΊΠΎΡΡΠ΅ΠΊΡΠΈΡΠΎΠ²ΠΊΠΈ ΠΏΡΠΎΠ΅ΠΊΡΠΎΠ² ΠΊΡΡΠΏΠ½ΡΡ
Π½Π°ΡΠΎΡΠ½ΡΡ
ΡΡΠ°Π½ΡΠΈΠΉ ΠΊΠ°ΠΊ Π·Π½Π°ΡΠΈΡΠ΅Π»ΡΠ½ΠΎ Π±ΠΎΠ»Π΅Π΅ ΡΠΎΡΠ½ΠΎΠ³ΠΎ ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠ° ΠΏΠΎ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ Ρ ΡΠΌΠΏΠΈΡΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ ΡΠΎΡΠΌΡΠ»Π°ΠΌΠΈ, ΡΡΠΈΡΡΠ²Π°ΡΡΠ΅Π³ΠΎ Π²ΡΠ΅ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠΈ ΠΎΠ±ΡΠ΅ΠΊΡΠ°. DOI: 10.7463/aplts.0415.081236
ΠΠ½Π°Π»ΠΈΠ·, ΠΏΡΠΎΠ³Π½ΠΎΠ·ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΠΈ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΠ΅ ΡΠ΄Π°ΡΠ½ΡΠΌ Π²ΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΈΠ΅ΠΌ Π½Π° ΠΎΠ±ΡΠ΅ΠΊΡ ΠΏΠΎΠ΄ΡΠ΅ΠΌΠ° ΠΏΡΠΈ ΠΏΠ΅ΡΠ΅ΠΊΠ»ΡΡΠ΅Π½ΠΈΠΈ ΡΡΡΠΏΠ΅Π½Π΅ΠΉ Π³ΠΈΠ΄ΡΠΎΡΠΈΠ»ΠΈΠ½Π΄ΡΠ°
The paper considers a problem of dynamic impact of hoisting mechanisms, which are based on the multistage hydro-cylinders, on the hoisted object. Hydro-cylinders have high specific characteristics, but there are also some drawbacks. One of them is an impact at the beginning and at the end of hoist and in switching the stages. And in case of switching the stages under certain conditions the impact in nature can be a high impact impulse. The paper explores the impacts at the beginning of hoist and when switching the stages.Numerical modeling is assumed to be a method of study. To build a mathematical model the following factors have been considered: geometrical cylinder parameters, hydraulic liquid compressibility, and friction between cylinder elements. Elasticity of ground, elasticity of rod, and elasticity of cylinder walls have been ignored.The modeling results allowed us to reveal a hydraulic nature of the stage-switching impact, introduce a formula to estimate the impact impulse value, show the friction effect on the impact impulse value and give a proposal to use a counter-pressure chamber to eliminate the stage-switching impact. An expression for the optimal counter-pressure is presented.The results obtained can find application in designing the new and upgrading the existing hoisting multistage hydro-cylinder mechanisms to increase a hoisting speed and simultaneously eliminate the impact on hoisted object.Compared to existing papers in the field concerned, this one concentrates on revealing a specific hydraulic nature of the stage-switching impact, without regard to dynamics and elasticity of the hoisting mechanism parts other than the cylinder itself.The achieved results find confirmation when compared to the numerical and field data published by other authors.Π ΡΠ°Π±ΠΎΡΠ΅ ΡΠ°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°Π΅ΡΡΡ ΠΏΡΠΎΠ±Π»Π΅ΠΌΠ° Π΄ΠΈΠ½Π°ΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π²ΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΈΡ Π½Π° ΠΏΠΎΠ΄Π½ΠΈΠΌΠ°Π΅ΠΌΡΠΉ Π³ΡΡΠ· ΠΏΠΎΠ΄ΡΠ΅ΠΌΠ½ΡΡ
ΠΌΠ΅Ρ
Π°Π½ΠΈΠ·ΠΌΠΎΠ² Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΠΌΠ½ΠΎΠ³ΠΎΡΡΡΠΏΠ΅Π½ΡΠ°ΡΡΡ
Π³ΠΈΠ΄ΡΠΎΡΠΈΠ»ΠΈΠ½Π΄ΡΠΎΠ². ΠΠΈΠ΄ΡΠΎΡΠΈΠ»ΠΈΠ½Π΄ΡΡ ΠΎΡΠ»ΠΈΡΠ°ΡΡΡΡ Π²ΡΡΠΎΠΊΠΈΠΌΠΈ ΡΠ΄Π΅Π»ΡΠ½ΡΠΌΠΈ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠ°ΠΌΠΈ, ΠΎΠ΄Π½Π°ΠΊΠΎ ΠΎΠ±Π»Π°Π΄Π°ΡΡ ΠΈ Π½Π΅Π΄ΠΎΡΡΠ°ΡΠΊΠ°ΠΌΠΈ. ΠΠ΄ΠΈΠ½ ΠΈΠ· Π½ΠΈΡ
β Π²ΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΈΠ΅ Π½Π° ΠΏΠΎΠ΄Π½ΠΈΠΌΠ°Π΅ΠΌΡΠΉ Π³ΡΡΠ· Π² Π½Π°ΡΠ°Π»Π΅, Π² ΠΊΠΎΠ½ΡΠ΅ ΠΏΠΎΠ΄ΡΠ΅ΠΌΠ° ΠΈ ΠΏΡΠΈ ΠΏΠ΅ΡΠ΅ΠΊΠ»ΡΡΠ΅Π½ΠΈΠΈ ΡΡΡΠΏΠ΅Π½Π΅ΠΉ, ΠΏΡΠΈΡΠ΅ΠΌ ΠΏΡΠΈ ΠΏΠ΅ΡΠ΅ΠΊΠ»ΡΡΠ΅Π½ΠΈΠΈ ΡΡΡΠΏΠ΅Π½Π΅ΠΉ Π²ΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΈΠ΅ ΠΏΡΠΈ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½ΡΡ
ΡΡΠ»ΠΎΠ²ΠΈΡΡ
ΠΌΠΎΠΆΠ΅Ρ Π½ΠΎΡΠΈΡΡ Ρ
Π°ΡΠ°ΠΊΡΠ΅Ρ ΡΠ΄Π°ΡΠ° Ρ Π²ΡΡΠΎΠΊΠΈΠΌ ΡΠ΄Π°ΡΠ½ΡΠΌ ΠΈΠΌΠΏΡΠ»ΡΡΠΎΠΌ. Π Π΄Π°Π½Π½ΠΎΠΉ ΡΠ°Π±ΠΎΡΠ΅ ΠΈΡΡΠ»Π΅Π΄ΡΡΡΡΡ Π²ΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΈΡ Π² Π½Π°ΡΠ°Π»Π΅ ΠΏΠΎΠ΄ΡΠ΅ΠΌΠ° ΠΈ ΠΏΡΠΈ ΠΏΠ΅ΡΠ΅ΠΊΠ»ΡΡΠ΅Π½ΠΈΠΈ ΡΡΡΠΏΠ΅Π½Π΅ΠΉ.Π ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ ΠΌΠ΅ΡΠΎΠ΄Π° ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΏΡΠΈΠ½ΡΡΠΎ ΡΠΈΡΠ»Π΅Π½Π½ΠΎΠ΅ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅. Π ΡΠΈΡΠ»ΠΎ Π²Π·ΡΡΡΡ
Π² ΡΠ°ΡΡΠΌΠΎΡΡΠ΅Π½ΠΈΠ΅ ΠΏΡΠΈ ΠΏΠΎΡΡΡΠΎΠ΅Π½ΠΈΠΈ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠΉΒ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΡΠ°ΠΊΡΠΎΡΠΎΠ² Π²ΠΊΠ»ΡΡΠ΅Π½Ρ Π³Π΅ΠΎΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΡ Π³ΠΈΠ΄ΡΠΎΡΠΈΠ»ΠΈΠ½Π΄ΡΠ°, ΡΠΆΠΈΠΌΠ°Π΅ΠΌΠΎΡΡΡ ΠΆΠΈΠ΄ΠΊΠΎΡΡΠΈ, ΡΡΠ΅Π½ΠΈΠ΅ ΠΌΠ΅ΠΆΠ΄Ρ ΡΠ»Π΅ΠΌΠ΅Π½ΡΠ°ΠΌΠΈ. Π£ΠΏΡΡΠ³ΠΎΡΡΡ Π³ΡΡΠ½ΡΠ°, ΡΠΏΡΡΠ³ΠΎΡΡΡ ΡΡΠΎΠΊΠ°, ΡΠΏΡΡΠ³ΠΎΡΡΡ ΡΡΠ΅Π½ΠΎΠΊ ΡΠΈΠ»ΠΈΠ½Π΄ΡΠ° Π½Π΅ ΠΏΡΠΈΠ½ΡΡΡ Π²ΠΎ Π²Π½ΠΈΠΌΠ°Π½ΠΈΠ΅.Π ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ΅ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π²ΡΡΠ²Π»Π΅Π½Π° ΠΏΡΠΈΡΠΎΠ΄Π° ΡΠ΄Π°ΡΠ° ΠΏΡΠΈ ΠΏΠ΅ΡΠ΅ΠΊΠ»ΡΡΠ΅Π½ΠΈΠΈ ΡΡΡΠΏΠ΅Π½Π΅ΠΉ, ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π° ΡΠΎΡΠΌΡΠ»Π° Π΄Π»Ρ ΠΎΡΠ΅Π½ΠΊΠΈ Π²Π΅Π»ΠΈΡΠΈΠ½Ρ ΡΠ΄Π°ΡΠ½ΠΎΠ³ΠΎ ΠΈΠΌΠΏΡΠ»ΡΡΠ°, Π²ΡΡΠ²Π»Π΅Π½ΠΎ Π²Π»ΠΈΡΠ½ΠΈΠ΅ ΡΡΠ΅Π½ΠΈΡ Π½Π° Π²Π΅Π»ΠΈΡΠΈΠ½Ρ ΡΠ΄Π°ΡΠ½ΠΎΠ³ΠΎ ΠΈΠΌΠΏΡΠ»ΡΡΠ°, ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½ΠΎ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΡ ΠΊΠ°ΠΌΠ΅ΡΡ ΠΏΡΠΎΡΠΈΠ²ΠΎΠ΄Π°Π²Π»Π΅Π½ΠΈΡ Π΄Π»Ρ ΠΈΡΠΊΠ»ΡΡΠ΅Π½ΠΈΡ ΡΠ΄Π°ΡΠ½ΠΎΠ³ΠΎ Π²ΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΈΡ ΠΏΡΠΈ ΠΏΠ΅ΡΠ΅ΠΊΠ»ΡΡΠ΅Π½ΠΈΠΈ ΡΡΡΠΏΠ΅Π½Π΅ΠΉ, ΠΏΡΠΈΠ²Π΅Π΄Π΅Π½ΠΎ Π²ΡΡΠ°ΠΆΠ΅Π½ΠΈΠ΅ Π΄Π»Ρ ΠΎΠΏΡΠΈΠΌΠ°Π»ΡΠ½ΠΎΠΉ Π²Π΅Π»ΠΈΡΠΈΠ½Ρ ΠΏΡΠΎΡΠΈΠ²ΠΎΠ΄Π°Π²Π»Π΅Π½ΠΈΡ.ΠΠΎΠ»ΡΡΠ΅Π½Π½ΡΠ΅ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΌΠΎΠ³ΡΡ Π½Π°ΠΉΡΠΈ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ ΠΏΡΠΈ ΠΏΡΠΎΠ΅ΠΊΡΠΈΡΠΎΠ²Π°Π½ΠΈΠΈ Π½ΠΎΠ²ΡΡ
ΠΈ ΠΌΠΎΠ΄Π΅ΡΠ½ΠΈΠ·Π°ΡΠΈΠΈ ΡΡΡΠ΅ΡΡΠ²ΡΡΡΠΈΡ
ΠΏΠΎΠ΄ΡΠ΅ΠΌΠ½ΡΡ
ΠΌΠ΅Ρ
Π°Π½ΠΈΠ·ΠΌΠΎΠ² Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΠΌΠ½ΠΎΠ³ΠΎΡΡΡΠΏΠ΅Π½ΡΠ°ΡΡΡ
Π³ΠΈΠ΄ΡΠΎΡΠΈΠ»ΠΈΠ½Π΄ΡΠΎΠ² ΠΏΡΠΈ Π·Π°Π΄Π°ΡΠ΅ ΡΠ²Π΅Π»ΠΈΡΠ΅Π½ΠΈΡ ΡΠΊΠΎΡΠΎΡΡΠΈ ΠΏΠΎΠ΄ΡΠ΅ΠΌΠ° ΠΏΡΠΈ ΠΎΠ΄Π½ΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΠΌ ΡΡΡΡΠ°Π½Π΅Π½ΠΈΠΈ ΡΠ΄Π°ΡΠ½ΡΡ
Π²ΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΈΠΉ Π½Π° ΠΏΠΎΠ΄Π½ΠΈΠΌΠ°Π΅ΠΌΡΠΉ ΠΎΠ±ΡΠ΅ΠΊΡ.Π ΡΡΠ°Π²Π½Π΅Π½ΠΈΠΈ Ρ ΠΏΠΎΠ΄ΠΎΠ±Π½ΡΠΌΠΈ ΡΠ°Π±ΠΎΡΠ°ΠΌΠΈ Π² Π΄Π°Π½Π½ΠΎΠΌ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΈ ΡΡΠ°Π²ΠΈΠ»Π°ΡΡ Π·Π°Π΄Π°ΡΠ° Π²ΡΡΠ²ΠΈΡΡ ΠΈΠΌΠ΅Π½Π½ΠΎ Π³ΠΈΠ΄ΡΠ°Π²Π»ΠΈΡΠ΅ΡΠΊΡΡ ΠΏΡΠΈΡΠΎΠ΄Ρ ΡΠ΄Π°ΡΠ° ΠΏΡΠΈ ΠΏΠ΅ΡΠ΅ΠΊΠ»ΡΡΠ΅Π½ΠΈΠΈ ΡΡΡΠΏΠ΅Π½Π΅ΠΉ, Π±Π΅Π· ΡΡΠ΅ΡΠ° Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΈ ΠΈ ΡΠΏΡΡΠ³ΠΎΡΡΠΈ ΠΈΠ½ΡΡ
, ΠΊΡΠΎΠΌΠ΅ Π³ΠΈΠ΄ΡΠΎΡΠΈΠ»ΠΈΠ½Π΄ΡΠ°, ΡΠ»Π΅ΠΌΠ΅Π½ΡΠΎΠ² ΠΏΠΎΠ΄ΡΠ΅ΠΌΠ½ΠΎΠ³ΠΎ ΠΌΠ΅Ρ
Π°Π½ΠΈΠ·ΠΌΠ°.ΠΠΎΠ»ΡΡΠ΅Π½Π½ΡΠ΅ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ Π½Π°Ρ
ΠΎΠ΄ΡΡ ΠΏΠΎΠ΄ΡΠ²Π΅ΡΠΆΠ΄Π΅Π½ΠΈΠ΅ Π² ΡΡΠ°Π²Π½Π΅Π½ΠΈΠΈ Ρ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ°ΠΌΠΈ ΡΠΈΡΠ»ΠΎΠ²ΠΎΠ³ΠΎ ΠΈ Π½Π°ΡΡΡΠ½ΠΎΠ³ΠΎ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ, ΠΎΠΏΡΠ±Π»ΠΈΠΊΠΎΠ²Π°Π½Π½ΡΠΌΠΈ Π΄ΡΡΠ³ΠΈΠΌΠΈ Π°Π²ΡΠΎΡΠ°ΠΌΠΈ
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