94 research outputs found
Generalizing Binary Solubility Data for Low-Volatile Liquids in Supercritical Fluids
EXISTING GENERALIZATION METHODS The key parameters that govern the feasibility of the separation of a mixture by supercritical fluid extraction are the binary solubilities of the components of the mixture in the extractant over a wide range of state variables. Several approaches to predicting the binary solubilities of liquids in compressed gases are known (1) where y i and y j are the concentrations (mole fractions) of the components; B ii is the second virial coefficient, which accounts for the interaction between identical molecules; B ij is the second virial cross coefficient, which accounts for the interaction between different molecules; and v m and z m are the molar volume and the compressibility of the gas phase, respectively. Within the framework of the thermodynamic similarity method, B ij is computed by various relations of the form where P cr and v cr are, respectively, the critical pressure and the critical molar volume of the component; is the characteristic temperature; and Ο ij is the characteristic acentricity factor. There is a comprehensive review [2] of methods for calculating the characteristic cross parameters of mixtures, including higher order virial coefficients. Ο ij is usually defined as the arithmetic mean of the acentricity factors of the mixture components. It was suggested [1] to calculate the characteristic temperature with the use of the empirical binary intermolecular interaction parameter k ij : ). = A generalized formula for k ij has been derived [1] for the interaction of organic liquids with a compressed gaseous solvent. The formula gives k ij as a function of the number of carbon atoms in the molecule of the dissolved liquid: where n is the number of carbon atoms in the molecules of dissolved n -paraffins, ketones, alcohols, and aromatic hydrocarbons. The interactions of nonpolar molecules with one another and of nonpolar molecules with polar molecules have been considered. The generalized formula is empirical, and the discrepancy between the parameters k ij obtained by experimental data processing and the generalized curve considerably exceeds the experimental error. The binary solubilities of low-volatile substances, including solids, have been represented [3] as a function of the solvent density: where y is the binary solubility (mole fraction), P is the pressure in the system, P 0 is the standard pressure, Ο is the solvent density, and Ο 0 is the standard solvent density. The parameters A and B are interrelated b
ΠΠ°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΡΠΎΠ²Π΅ΡΡΠ΅Π½ΡΡΠ²ΠΎΠ²Π°Π½ΠΈΡ Π΄Π΅ΡΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ ΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ Π±Π°Π½ΠΊΠΎΠ² Π½Π° ΡΠ΅ΡΡΠΈΡΠΎΡΠΈΠΈ Π Π΅ΡΠΏΡΠ±Π»ΠΈΠΊΠΈ Π’Π°ΡΠ°ΡΡΡΠ°Π½
The purpose of this study is to develop tools for assessing the state of regional banks and to justify decisions on the allocation of resources between their business areas by adapting existing methods of banking management to the new economic environment.The authors apply both general scientific methods (induction, deduction, analysis, synthesis) and special methods: systematic and retrospective analysis of existing developments in bank decisions.The results of the application of these methods are the mathematical models describing the functioning of the credit-deposit and transaction of commercial banks of Tatarstan in the past three years from the point of elasticity of actives and liabilitiesβ substitution. In the paper, we systematized the indicators of actives and liabilities of the five largest commercial banks in Tatarstan in 2019β2022, we approved the equations that characterize these actives and liabilitiesβ substitution elasticity in MS Excel.The conclusion is that in most cases, there is a unitary elasticity of their mutual substitution, which leads to the conclusion that the Tatarstan banking system is currently in the growth stage of a new life cycle, which began in 2014, after the Russian economy entered new realities due to sanctions pressure. The recommendations were formulated for the banks of Tatarstan in terms of improving the quality of loan portfolios in new conditions: they should improve the methods of making decisions about the loans for companiesβ business activities which are first created.Π¦Π΅Π»Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ βΒ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠ° ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠ°ΡΠΈΡ ΠΎΡΠ΅Π½ΠΊΠΈ ΡΠΎΡΡΠΎΡΠ½ΠΈΡ ΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ
Π±Π°Π½ΠΊΠΎΠ² ΠΈ ΠΎΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΡ ΡΠ΅ΡΠ΅Π½ΠΈΠΉ ΠΎ ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠΈ ΡΠ΅ΡΡΡΡΠΎΠ² ΠΌΠ΅ΠΆΠ΄Ρ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡΠΌΠΈ ΠΈΡ
Π±ΠΈΠ·Π½Π΅ΡΠ° ΠΏΠΎΡΡΠ΅Π΄ΡΡΠ²ΠΎΠΌ Π°Π΄Π°ΠΏΡΠ°ΡΠΈΠΈ ΡΡΡΠ΅ΡΡΠ²ΡΡΡΠΈΡ
ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² Π±Π°Π½ΠΊΠΎΠ²ΡΠΊΠΎΠ³ΠΎ ΠΌΠ΅Π½Π΅Π΄ΠΆΠΌΠ΅Π½ΡΠ° ΠΊ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΡΠΌ Π½ΠΎΠ²ΠΎΠΉ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΡΠ΅Π΄Ρ. ΠΠ²ΡΠΎΡΡ ΠΏΡΠΈΠΌΠ΅Π½ΡΡΡ ΠΊΠ°ΠΊ ΠΎΠ±ΡΠ΅Π½Π°ΡΡΠ½ΡΠ΅ ΠΌΠ΅ΡΠΎΠ΄Ρ (ΠΈΠ½Π΄ΡΠΊΡΠΈΡ, Π΄Π΅Π΄ΡΠΊΡΠΈΡ, Π°Π½Π°Π»ΠΈΠ·, ΡΠΈΠ½ΡΠ΅Π·), ΡΠ°ΠΊ ΠΈ ΡΠΏΠ΅ΡΠΈΠ°Π»ΡΠ½ΡΠ΅: ΡΠΈΡΡΠ΅ΠΌΠ½ΡΠΉ ΠΈ ΡΠ΅ΡΡΠΎΡΠΏΠ΅ΠΊΡΠΈΠ²Π½ΡΠΉ Π°Π½Π°Π»ΠΈΠ· ΡΡΡΠ΅ΡΡΠ²ΡΡΡΠΈΡ
Π½Π°ΡΠ°Π±ΠΎΡΠΎΠΊ Π² ΡΡΠ΅ΡΠ΅ ΠΎΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΡ ΡΠ΅ΡΠ΅Π½ΠΈΠΉ Π±Π°Π½ΠΊΠΎΠ²ΡΠΊΠΎΠ³ΠΎ ΡΠΈΡΠΊ-ΠΌΠ΅Π½Π΅Π΄ΠΆΠΌΠ΅Π½ΡΠ°. Π Π΅Π·ΡΠ»ΡΡΠ°ΡΠΎΠΌ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΡ ΡΠΊΠ°Π·Π°Π½Π½ΡΡ
ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² ΡΠ²Π»ΡΡΡΡΡ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΌΠΎΠ΄Π΅Π»ΠΈ, ΠΎΠΏΠΈΡΡΠ²Π°ΡΡΠΈΠ΅ ΡΡΠ½ΠΊΡΠΈΠΎΠ½ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΊΡΠ΅Π΄ΠΈΡΠ½ΠΎ-Π΄Π΅ΠΏΠΎΠ·ΠΈΡΠ½ΠΎΠ³ΠΎ ΠΈ ΡΡΠ°Π½Π·Π°ΠΊΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ Π±ΠΈΠ·Π½Π΅ΡΠΎΠ² ΠΊΠΎΠΌΠΌΠ΅ΡΡΠ΅ΡΠΊΠΈΡ
Π±Π°Π½ΠΊΠΎΠ² Π’Π°ΡΠ°ΡΡΡΠ°Π½Π° Π² ΠΏΡΠΎΡΠ΅Π΄ΡΠΈΠ΅ 3 Π³ΠΎΠ΄Π° Ρ ΠΏΠΎΠ·ΠΈΡΠΈΠΈ ΡΠ»Π°ΡΡΠΈΡΠ½ΠΎΡΡΠΈ Π²Π·Π°ΠΈΠΌΠ½ΠΎΠ³ΠΎ Π·Π°ΠΌΠ΅ΡΠ΅Π½ΠΈΡ ΡΠ°Π·Π½ΡΡ
Π²ΠΈΠ΄ΠΎΠ² Π°ΠΊΡΠΈΠ²ΠΎΠ² ΠΈ ΠΏΠ°ΡΡΠΈΠ²ΠΎΠ². Π Ρ
ΠΎΠ΄Π΅ ΡΠ°Π±ΠΎΡΡ ΠΎΠ±ΠΎΠ±ΡΠ΅Π½Ρ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΠΈ ΡΠΎΡΡΠΎΡΠ½ΠΈΡ Π°ΠΊΡΠΈΠ²ΠΎΠ² ΠΈ ΠΏΠ°ΡΡΠΈΠ²ΠΎΠ² ΠΏΡΡΠΈ ΠΊΡΡΠΏΠ½Π΅ΠΉΡΠΈΡ
ΠΊΠΎΠΌΠΌΠ΅ΡΡΠ΅ΡΠΊΠΈΡ
Π±Π°Π½ΠΊΠΎΠ² Π’Π°ΡΠ°ΡΡΡΠ°Π½Π° Π·Π° 2019β2022 Π³Π³., Π² MS Excel ΠΏΠΎΠ΄ΠΎΠ±ΡΠ°Π½Ρ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ, Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΠ·ΡΡΡΠΈΠ΅ ΡΠ»Π°ΡΡΠΈΡΠ½ΠΎΡΡΡ Π·Π°ΠΌΠ΅ΡΠ΅Π½ΠΈΡ ΡΠ°Π·Π½ΡΡ
Π²ΠΈΠ΄ΠΎΠ² Π°ΠΊΡΠΈΠ²ΠΎΠ² ΠΈ ΠΏΠ°ΡΡΠΈΠ²ΠΎΠ².Π‘Π΄Π΅Π»Π°Π½ Π²ΡΠ²ΠΎΠ΄, ΡΡΠΎ Π² Π±ΠΎΠ»ΡΡΠΈΠ½ΡΡΠ²Π΅ ΡΠ»ΡΡΠ°Π΅Π² ΠΈΠΌΠ΅Π΅Ρ ΠΌΠ΅ΡΡΠΎ Π΅Π΄ΠΈΠ½ΠΈΡΠ½Π°Ρ ΡΠ»Π°ΡΡΠΈΡΠ½ΠΎΡΡΡ ΠΈΡ
Π²Π·Π°ΠΈΠΌΠ½ΠΎΠ³ΠΎ Π·Π°ΠΌΠ΅ΡΠ΅Π½ΠΈΡ, ΡΡΠΎ ΠΏΠΎΠ΄Π²ΠΎΠ΄ΠΈΡ ΠΊ Π·Π°ΠΊΠ»ΡΡΠ΅Π½ΠΈΡ, ΡΡΠΎ Π±Π°Π½ΠΊΠΎΠ²ΡΠΊΠ°Ρ ΡΠΈΡΡΠ΅ΠΌΠ° Π’Π°ΡΠ°ΡΡΡΠ°Π½Π° Π² Π½Π°ΡΡΠΎΡΡΠ΅Π΅ Π²ΡΠ΅ΠΌΡ Π½Π°Ρ
ΠΎΠ΄ΠΈΡΡΡ Π½Π° ΡΡΠ°ΠΏΠ΅ ΡΠΎΡΡΠ° Π² Π½ΠΎΠ²ΠΎΠΌ ΠΆΠΈΠ·Π½Π΅Π½Π½ΠΎΠΌ ΡΠΈΠΊΠ»Π΅, Π½Π°ΡΠ°Π²ΡΠ΅ΠΌΡΡ Π² 2014 Π³., ΠΏΠΎΡΠ»Π΅ Π²Ρ
ΠΎΠΆΠ΄Π΅Π½ΠΈΡ ΡΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ Π² Π½ΠΎΠ²ΡΠ΅ ΡΠ΅Π°Π»ΠΈΠΈ, ΠΎΠ±ΡΡΠ»ΠΎΠ²Π»Π΅Π½Π½ΡΠ΅ ΡΠ°Π½ΠΊΡΠΈΠΎΠ½Π½ΡΠΌ Π΄Π°Π²Π»Π΅Π½ΠΈΠ΅ΠΌ. Π‘ΡΠΎΡΠΌΡΠ»ΠΈΡΠΎΠ²Π°Π½Ρ ΡΠ΅ΠΊΠΎΠΌΠ΅Π½Π΄Π°ΡΠΈΠΈ Π΄Π»Ρ ΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ
Π±Π°Π½ΠΊΠΎΠ² Π Π΅ΡΠΏΡΠ±Π»ΠΈΠΊΠΈ Π’Π°ΡΠ°ΡΡΡΠ°Π½ Π² ΡΠ°ΡΡΠΈ ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΡ ΠΊΠ°ΡΠ΅ΡΡΠ²Π° ΠΊΡΠ΅Π΄ΠΈΡΠ½ΡΡ
ΠΏΠΎΡΡΡΠ΅Π»Π΅ΠΉ Π² Π½ΠΎΠ²ΡΡ
ΡΡΠ»ΠΎΠ²ΠΈΡΡ
, Π° ΠΈΠΌΠ΅Π½Π½ΠΎ: ΡΠΎΠ²Π΅ΡΡΠ΅Π½ΡΡΠ²ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² ΠΏΡΠΈΠ½ΡΡΠΈΡ ΡΠ΅ΡΠ΅Π½ΠΈΠΉ ΠΎ ΠΊΡΠ΅Π΄ΠΈΡΠΎΠ²Π°Π½ΠΈΠΈ ΠΊΠΎΡΠΏΠΎΡΠ°ΡΠΈΠ²Π½ΡΡ
ΠΊΠ»ΠΈΠ΅Π½ΡΠΎΠ² ΠΏΠΎ Π½ΠΎΠ²ΡΠΌ ΡΠΎΠ·Π΄Π°Π²Π°Π΅ΠΌΡΠΌ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡΠΌ ΠΈΡ
Π±ΠΈΠ·Π½Π΅ΡΠ°
ΠΡΠ΅Π΄ΠΈΡΠ½ΡΠ΅ ΡΠΈΡΠΊΠΈ ΡΠΎΡΡΠΈΠΉΡΠΊΠΈΡ ΠΊΠΎΠΌΠΌΠ΅ΡΡΠ΅ΡΠΊΠΈΡ Π±Π°Π½ΠΊΠΎΠ²: Π½ΠΎΠ²ΡΠ΅ ΠΏΠΎΠ΄Ρ ΠΎΠ΄Ρ ΠΊ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ
In the realities of the modern domestic economy, the process of risk management of commercial banks associated to credit corporate customers, acquires new content. The assessment of what place in the companyβs activity has a work that contributes to solving the most pressing problems of our time: environment, social and general corporate governance comes to the fore. As a result, the focus is on a group of lending risks known as ESG. Since the areas of work of clients β legal entities, with which these risks are associated, and described mainly by qualitative, non-formalized characteristics, a difficult task for modern bank risk-management becomes normalizing the process of their evaluation when making specific decisions on the loan. This explains the interest and relevance of this research, the object of which is the risk management subsystem for lending to corporate clients by commercial banks, the subject is the consideration of ESG factors in this process. The purpose of the paper is to develop the basics of decision-making tools in the management of bank credit risks, with this group of factors. The authors apply methods of both general scientific (induction, deduction, analysis, synthesis) and special: system and retrospective analysis of existing developments in the field of justification of decisions of bank risk management. The theoretical significance of the research results consists in a complex analysis of the role and place of ESG-risks in the overall risk landscape and the integration of environmental, social and managerial factors into credit risk assessment. Basic principles of construction of phenomenological model, used to support credit decisions by banks of corporate clients taking into account ESG-factors that influence their activity, have been developed.Π ΡΠ΅Π°Π»ΠΈΡΡ
ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΠΉ ΠΎΡΠ΅ΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎΠΉ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ ΠΏΡΠΎΡΠ΅ΡΡ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΡΠΈΡΠΊΠ°ΠΌΠΈ ΠΊΠΎΠΌΠΌΠ΅ΡΡΠ΅ΡΠΊΠΈΡ
Π±Π°Π½ΠΊΠΎΠ², ΡΠ²ΡΠ·Π°Π½Π½ΡΠΌΠΈ Ρ ΠΊΡΠ΅Π΄ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ ΠΊΠΎΡΠΏΠΎΡΠ°ΡΠΈΠ²Π½ΡΡ
ΠΊΠ»ΠΈΠ΅Π½ΡΠΎΠ², ΠΎΠ±ΡΠ΅ΡΠ°Π΅Ρ Π½ΠΎΠ²ΠΎΠ΅ ΡΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΠ΅. ΠΠ° ΠΏΠ΅ΡΠ²ΡΠΉ ΠΏΠ»Π°Π½ Π²ΡΡ
ΠΎΠ΄ΠΈΡ ΠΎΡΠ΅Π½ΠΊΠ° ΡΠΎΠ³ΠΎ, ΠΊΠ°ΠΊΠΎΠ΅ ΠΌΠ΅ΡΡΠΎ Π² ΠΆΠΈΠ·Π½ΠΈ ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΈ Π·Π°Π½ΠΈΠΌΠ°Π΅Ρ ΡΠ°Π±ΠΎΡΠ°, ΡΠΏΠΎΡΠΎΠ±ΡΡΠ²ΡΡΡΠ°Ρ ΡΠ΅ΡΠ΅Π½ΠΈΡ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ Π°ΠΊΡΡΠ°Π»ΡΠ½ΡΡ
ΠΏΡΠΎΠ±Π»Π΅ΠΌ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΡΡΠΈ: ΡΠΊΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
(environment), ΡΠΎΡΠΈΠ°Π»ΡΠ½ΡΡ
(social) ΠΈ ΠΎΠ±ΡΠ΅Π³ΠΎ ΠΊΠΎΡΠΏΠΎΡΠ°ΡΠΈΠ²Π½ΠΎΠ³ΠΎ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ (governance). Π ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ΅ Π² ΡΠ΅Π½ΡΡΠ΅ Π²Π½ΠΈΠΌΠ°Π½ΠΈΡ ΠΎΠΊΠ°Π·ΡΠ²Π°Π΅ΡΡΡ Π³ΡΡΠΏΠΏΠ° ΡΠΈΡΠΊΠΎΠ² ΠΊΡΠ΅Π΄ΠΈΡΠΎΠ²Π°Π½ΠΈΡ, ΠΈΠ·Π²Π΅ΡΡΠ½Π°Ρ ΠΊΠ°ΠΊ ESG. ΠΠΎΡΠΊΠΎΠ»ΡΠΊΡ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΡΠ°Π±ΠΎΡΡ ΠΊΠ»ΠΈΠ΅Π½ΡΠΎΠ² β ΡΡΠΈΠ΄ΠΈΡΠ΅ΡΠΊΠΈΡ
Π»ΠΈΡ, Ρ ΠΊΠΎΡΠΎΡΡΠΌΠΈ ΡΠ²ΡΠ·Π°Π½Ρ ΡΡΠΈ ΡΠΈΡΠΊΠΈ, ΠΎΠΏΠΈΡΡΠ²Π°ΡΡΡΡ Π² ΠΎΡΠ½ΠΎΠ²Π½ΠΎΠΌ ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΠΌΠΈ, Π½Π΅ΡΠΎΡΠΌΠ°Π»ΠΈΠ·ΠΎΠ²Π°Π½Π½ΡΠΌΠΈ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠ°ΠΌΠΈ, ΡΠ»ΠΎΠΆΠ½ΠΎΠΉ Π·Π°Π΄Π°ΡΠ΅ΠΉ Π΄Π»Ρ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΠ³ΠΎ Π±Π°Π½ΠΊΠΎΠ²ΡΠΊΠΎΠ³ΠΎ ΡΠΈΡΠΊ-ΠΌΠ΅Π½Π΅Π΄ΠΆΠΌΠ΅Π½ΡΠ° ΡΡΠ°Π½ΠΎΠ²ΠΈΡΡΡ ΡΠΏΠΎΡΡΠ΄ΠΎΡΠΈΠ²Π°Π½ΠΈΠ΅ ΠΏΡΠΎΡΠ΅ΡΡΠ° ΠΈΡ
ΠΎΡΠ΅Π½ΠΊΠΈ ΠΏΡΠΈ ΠΏΡΠΈΠ½ΡΡΠΈΠΈ ΠΊΠΎΠ½ΠΊΡΠ΅ΡΠ½ΡΡ
ΡΠ΅ΡΠ΅Π½ΠΈΠΉ ΠΎ Π²ΡΠ΄Π°ΡΠ΅ ΠΊΡΠ΅Π΄ΠΈΡΠ°. ΠΡΠΈΠΌ ΠΎΠ±ΡΡΠ»ΠΎΠ²Π»Π΅Π½Π° Π°ΠΊΡΡΠ°Π»ΡΠ½ΠΎΡΡΡ Π΄Π°Π½Π½ΠΎΠ³ΠΎ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ, ΠΎΠ±ΡΠ΅ΠΊΡΠΎΠΌ ΠΊΠΎΡΠΎΡΠΎΠ³ΠΎ ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΏΠΎΠ΄ΡΠΈΡΡΠ΅ΠΌΠ° ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΡΠΈΡΠΊΠ°ΠΌΠΈ ΠΊΡΠ΅Π΄ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΊΠΎΡΠΏΠΎΡΠ°ΡΠΈΠ²Π½ΡΡ
ΠΊΠ»ΠΈΠ΅Π½ΡΠΎΠ² ΠΊΠΎΠΌΠΌΠ΅ΡΡΠ΅ΡΠΊΠΈΠΌΠΈ Π±Π°Π½ΠΊΠ°ΠΌΠΈ, ΠΏΡΠ΅Π΄ΠΌΠ΅ΡΠΎΠΌ β ΡΡΠ΅Ρ ESG-ΡΠ°ΠΊΡΠΎΡΠΎΠ² Π² Π΄Π°Π½Π½ΠΎΠΌ ΠΏΡΠΎΡΠ΅ΡΡΠ΅. Π¦Π΅Π»Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ β ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠ° ΠΎΡΠ½ΠΎΠ² ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠ°ΡΠΈΡ ΠΏΡΠΈΠ½ΡΡΠΈΡ ΡΠ΅ΡΠ΅Π½ΠΈΠΉ Π² ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΠΈ Π±Π°Π½ΠΊΠΎΠ²ΡΠΊΠΈΠΌΠΈ ΠΊΡΠ΅Π΄ΠΈΡΠ½ΡΠΌΠΈ ΡΠΈΡΠΊΠ°ΠΌΠΈ Ρ ΡΡΠ΅ΡΠΎΠΌ Π΄Π°Π½Π½ΠΎΠΉ Π³ΡΡΠΏΠΏΡ ΡΠ°ΠΊΡΠΎΡΠΎΠ². ΠΠ²ΡΠΎΡΡ ΠΏΡΠΈΠΌΠ΅Π½ΡΡΡ ΠΌΠ΅ΡΠΎΠ΄Ρ ΠΊΠ°ΠΊ ΠΎΠ±ΡΠ΅Π½Π°ΡΡΠ½ΡΠ΅ (ΠΈΠ½Π΄ΡΠΊΡΠΈΡ, Π΄Π΅Π΄ΡΠΊΡΠΈΡ, Π°Π½Π°Π»ΠΈΠ·, ΡΠΈΠ½ΡΠ΅Π·), ΡΠ°ΠΊ ΠΈ ΡΠΏΠ΅ΡΠΈΠ°Π»ΡΠ½ΡΠ΅: ΡΠΈΡΡΠ΅ΠΌΠ½ΡΠΉ ΠΈ ΡΠ΅ΡΡΠΎΡΠΏΠ΅ΠΊΡΠΈΠ²Π½ΡΠΉ Π°Π½Π°Π»ΠΈΠ· ΡΡΡΠ΅ΡΡΠ²ΡΡΡΠΈΡ
Π½Π°ΡΠ°Π±ΠΎΡΠΎΠΊ Π² ΡΡΠ΅ΡΠ΅ ΠΎΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΡ ΡΠ΅ΡΠ΅Π½ΠΈΠΉ Π±Π°Π½ΠΊΠΎΠ²ΡΠΊΠΎΠ³ΠΎ ΡΠΈΡΠΊ-ΠΌΠ΅Π½Π΅Π΄ΠΆΠΌΠ΅Π½ΡΠ°. Π’Π΅ΠΎΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠ°Ρ Π·Π½Π°ΡΠΈΠΌΠΎΡΡΡ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΎΠ² ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π·Π°ΠΊΠ»ΡΡΠ°Π΅ΡΡΡ Π² ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ½ΠΎΠΌ Π°Π½Π°Π»ΠΈΠ·Π΅ ΡΠΎΠ»ΠΈ ΠΈ ΠΌΠ΅ΡΡΠ° ESG-ΡΠΈΡΠΊΠΎΠ² Π² ΠΎΠ±ΡΠ΅ΠΌ Π»Π°Π½Π΄ΡΠ°ΡΡΠ΅ ΡΠΈΡΠΊΠΎΠ² ΠΈ ΠΈΠ½ΡΠ΅Π³ΡΠ°ΡΠΈΠΈ ΡΠΊΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
, ΡΠΎΡΠΈΠ°Π»ΡΠ½ΡΡ
ΠΈ ΡΠΏΡΠ°Π²Π»Π΅Π½ΡΠ΅ΡΠΊΠΈΡ
ΡΠ°ΠΊΡΠΎΡΠΎΠ² Π² ΠΎΡΠ΅Π½ΠΊΡ ΠΊΡΠ΅Π΄ΠΈΡΠ½ΠΎΠ³ΠΎ ΡΠΈΡΠΊΠ°. Π Π°Π·ΡΠ°Π±ΠΎΡΠ°Π½Ρ Π±Π°Π·ΠΎΠ²ΡΠ΅ ΠΏΡΠΈΠ½ΡΠΈΠΏΡ ΠΏΠΎΡΡΡΠΎΠ΅Π½ΠΈΡ ΡΠ΅Π½ΠΎΠΌΠ΅Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΠ΅ΠΌΠΎΠΉ Π΄Π»Ρ ΠΎΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΡ ΡΠ΅ΡΠ΅Π½ΠΈΠΉ ΠΎ ΠΊΡΠ΅Π΄ΠΈΡΠΎΠ²Π°Π½ΠΈΠΈ Π±Π°Π½ΠΊΠ°ΠΌΠΈ ΠΊΠΎΡΠΏΠΎΡΠ°ΡΠΈΠ²Π½ΡΡ
ΠΊΠ»ΠΈΠ΅Π½ΡΠΎΠ² Ρ ΡΡΠ΅ΡΠΎΠΌ ESG-ΡΠ°ΠΊΡΠΎΡΠΎΠ², Π²Π»ΠΈΡΡΡΠΈΡ
Π½Π° ΠΈΡ
Π΄Π΅ΡΡΠ΅Π»ΡΠ½ΠΎΡΡΡ
Colloquium: Trapped ions as quantum bits -- essential numerical tools
Trapped, laser-cooled atoms and ions are quantum systems which can be
experimentally controlled with an as yet unmatched degree of precision. Due to
the control of the motion and the internal degrees of freedom, these quantum
systems can be adequately described by a well known Hamiltonian. In this
colloquium, we present powerful numerical tools for the optimization of the
external control of the motional and internal states of trapped neutral atoms,
explicitly applied to the case of trapped laser-cooled ions in a segmented
ion-trap. We then delve into solving inverse problems, when optimizing trapping
potentials for ions. Our presentation is complemented by a quantum mechanical
treatment of the wavepacket dynamics of a trapped ion. Efficient numerical
solvers for both time-independent and time-dependent problems are provided.
Shaping the motional wavefunctions and optimizing a quantum gate is realized by
the application of quantum optimal control techniques. The numerical methods
presented can also be used to gain an intuitive understanding of quantum
experiments with trapped ions by performing virtual simulated experiments on a
personal computer. Code and executables are supplied as supplementary online
material (http://kilian-singer.de/ent).Comment: accepted for publication in Review of Modern Physics 201
Isolation, Purification and Evaluation of Serological Activity of Rabies Virus Antigens
Objective of the study is to evaluate the serological activity of rabies virus antigens isolated from the brain tissue of mice by homogenization on FastPrep followed by ultracentrifugation. Materials and methods. Producer strain of the rabies virus βOvechiyβ GNKI. The rabies virus was isolated from the brain tissue of experimentally infected mice, followed by the study of the electrophoretic profile. The serological activity of the virus components was assessed by immunoblot and ELISA using specific anti-rabies sera.Results and conclusions. In the course of comparing the methods of isolation and purification of the rabies virus antigen, it was found that most optimal one is to use a homogenization on FastPrep-24, followed by fractionation in a sucrose gradient. As a result of fractionation in a graded sucrose density gradient with a concentration of 15β50 % at 25000 g for 120 min, five fractions of the rabies virus components were obtained. The maximum purified protein fraction was from 15β20 % sucrose zone, which corresponded to a molecular weight of 67 kDa. The specific antigen activity of the fraction in ELISA reached up the titers of 1:1280 (Specificity coefficient 2.2). Using immunoblot of antigens, obtained from the sucrose gradient in the range of 40β45 % and 20β35 % after ultracentrifugation, one major fraction of polypeptides (54 kDa) was detected, which showed the highest antigenic activity. The results obtained will be useful in the design of test systems for rabies screening and monitoring the effectiveness of anti-epizootic measures
The astrometric Gaia-FUN-SSO observation campaign of 99 942 Apophis
Astrometric observations performed by the Gaia Follow-Up Network for Solar
System Objects (Gaia-FUN-SSO) play a key role in ensuring that moving objects
first detected by ESA's Gaia mission remain recoverable after their discovery.
An observation campaign on the potentially hazardous asteroid (99 942) Apophis
was conducted during the asteroid's latest period of visibility, from
12/21/2012 to 5/2/2013, to test the coordination and evaluate the overall
performance of the Gaia-FUN-SSO . The 2732 high quality astrometric
observations acquired during the Gaia-FUN-SSO campaign were reduced with the
Platform for Reduction of Astronomical Images Automatically (PRAIA), using the
USNO CCD Astrograph Catalogue 4 (UCAC4) as a reference. The astrometric
reduction process and the precision of the newly obtained measurements are
discussed. We compare the residuals of astrometric observations that we
obtained using this reduction process to data sets that were individually
reduced by observers and accepted by the Minor Planet Center. We obtained 2103
previously unpublished astrometric positions and provide these to the
scientific community. Using these data we show that our reduction of this
astrometric campaign with a reliable stellar catalog substantially improves the
quality of the astrometric results. We present evidence that the new data will
help to reduce the orbit uncertainty of Apophis during its close approach in
2029. We show that uncertainties due to geolocations of observing stations, as
well as rounding of astrometric data can introduce an unnecessary degradation
in the quality of the resulting astrometric positions. Finally, we discuss the
impact of our campaign reduction on the recovery process of newly discovered
asteroids.Comment: Accepted for publication in A&
A new fast multi-domain BEM to model seismic wave propagation and amplification in 3D geological structures
International audienceThe analysis of seismic wave propagation and amplification in complex geological structures raises the need for efficient and accurate numerical methods. The solution of the elastodynamic equations using traditional boundary element methods (BEMs) is greatly hindered by the fully-populated nature of the matrix equations arising from the discretization. In a previous study limited to homogeneous media, the present authors have established that the Fast Multipole (FM) method reduces the complexity of a 3-D elastodynamic BEM to per GMRES iteration and demonstrated its effectiveness on 3-D canyon configurations. In this article, the frequency-domain FM-BEM methodology is extented to 3-D elastic wave propagation in piecewise-homogeneous domains in the form of a FM-accelerated multi-region BE-BE coupling approach. This new method considerably enhances the capability of the BEM for studying the propagation of seismic waves in 3-D alluvial basins of arbitrary geometry embedded in semi-infinite media. Several fully 3-D examples (oblique SV-waves) representative of such configurations validate and demonstrate the capabilities of the multi-domain fast multipole approach. They include comparisons with available (low-frequency) results for various types of incident wavefields, and time-domain results obtained by means of Fourier synthesis
The astrometric Gaia-FUN-SSO observation campaign of 99942 Apophis
Β© 2015 ESO. Aims. Astrometric observations performed by the Gaia Follow-Up Network for Solar System Objects (Gaia-FUN-SSO) play a key role in ensuring that moving objects first detected by ESA's Gaia mission remain recoverable after their discovery. An observation campaign on the potentially hazardous asteroid (99 942) Apophis was conducted during the asteroid's latest period of visibility, from 12/21/2012 to 5/2/2013, to test the coordination and evaluate the overall performance of the Gaia-FUN-SSO. Methods. The 2732 high quality astrometric observations acquired during the Gaia-FUN-SSO campaign were reduced with the Platform for Reduction of Astronomical Images Automatically (PRAIA), using the USNO CCD Astrograph Catalogue 4 (UCAC4) as a reference. The astrometric reduction process and the precision of the newly obtained measurements are discussed. We compare the residuals of astrometric observations that we obtained using this reduction process to data sets that were individually reduced by observers and accepted by the Minor Planet Center. Results. We obtained 2103 previously unpublished astrometric positions and provide these to the scientific community. Using these data we show that our reduction of this astrometric campaign with a reliable stellar catalog substantially improves the quality of the astrometric results. We present evidence that the new data will help to reduce the orbit uncertainty of Apophis during its close approach in 2029. We show that uncertainties due to geolocations of observing stations, as well as rounding of astrometric data can introduce an unnecessary degradation in the quality of the resulting astrometric positions. Finally, we discuss the impact of our campaign reduction on the recovery process of newly discovered asteroids
Creation of models for forecasting banks' net incomes from currency operations
In the present article the author has the aims, such as identifying the role of net incomes from currency operations in the process of forming commercial banks' profit, exploring present models for forecasting their size and creation new ones, which take in account different factors which influence on it. They're created on the base of system structural, correlation and factorial analysis. In the result of this investigation the new models were received, they express the specific of each kind of currency operations (conversion, loans and deposits and cash settlement), and the model for the common net income from all kinds of currency operations
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