189 research outputs found
Specific Absorption Rate of Assembly of Magnetite Nanoparticles with Cubic Magnetic Anisotropy
The presence of strong magnetic dipole interaction in assemblies of fractal clusters of nearly spherical magnetite nanoparticles, which arise in a biological media loaded with magnetic nanoparticles, leads to a significant decrease of the specific absorption rate of these assemblies in alternating magnetic field. However, the specific absorption rate of the assembly can be increased if the nanoparticles are covered by non magnetic shells of sufficiently large thickness comparable with the nanoparticle diameter.
Keywords: Magnetite nanoparticles, Magneto- dipole interaction, Specific absorption rate, Numerical simulatio
Dissipative Chaos in Semiconductor Superlattices
We consider the motion of ballistic electrons in a miniband of a
semiconductor superlattice (SSL) under the influence of an external,
time-periodic electric field. We use the semi-classical balance-equation
approach which incorporates elastic and inelastic scattering (as dissipation)
and the self-consistent field generated by the electron motion. The coupling of
electrons in the miniband to the self-consistent field produces a cooperative
nonlinear oscillatory mode which, when interacting with the oscillatory
external field and the intrinsic Bloch-type oscillatory mode, can lead to
complicated dynamics, including dissipative chaos. For a range of values of the
dissipation parameters we determine the regions in the amplitude-frequency
plane of the external field in which chaos can occur. Our results suggest that
for terahertz external fields of the amplitudes achieved by present-day free
electron lasers, chaos may be observable in SSLs. We clarify the nature of this
novel nonlinear dynamics in the superlattice-external field system by exploring
analogies to the Dicke model of an ensemble of two-level atoms coupled with a
resonant cavity field and to Josephson junctions.Comment: 33 pages, 8 figure
Mechanical, Structural and Scaling Properties of Coals: Depth-sensing Indentation Studies
This paper discusses special features of mechanical behaviour of coals discovered using depth-sensing indentation (DSI) techniques along with other traditional methods of material testing. Many of the special features are caused by the presence of multiscale complex heterogeneous internal structures within the samples and brittleness of some coal components. Experimental methodology for studying mechanical properties of coals and other natural extreme materials like bones is discussed. It is argued that values of microhardness of bituminous coals correlate strongly with the maximum load; therefore, the use of this parameter in application to coals may be meaningless. For analysis of the force-displacement curves obtained by DSI, both OliverβPharr and GalanovβDub approaches are employed. It is argued that during nanoindentation, the integrity of the internal structure of a coal sample within a small area of high stress field near the tip of indenter may be destroyed. Hence, the standard approaches to mechanical testing of coals should be re-examined. Β© 2019, Springer-Verlag GmbH Germany, part of Springer Nature.Acknowledgements Research was supported by the Russian Science Foundation (Grant β 16-17-10217)
ΠΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΡΠ΅ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ ΡΠ²Π΅Π΄Π΅Π½ΠΈΠΉ Π°Π΄ΠΌΠΈΠ½ΠΈΡΡΡΠ°ΡΠΈΠ²Π½ΠΎΠ³ΠΎ ΡΡΡΡΠ° ΠΎ ΡΠ΄Π΅Π»ΠΊΠ°Ρ Ρ ΠΆΠΈΠ»ΠΎΠΉ Π½Π΅Π΄Π²ΠΈΠΆΠΈΠΌΠΎΡΡΡΡ Π΄Π»Ρ ΡΠ°ΡΡΡΡΠ° ΡΠ΅Π½ Π½Π° ΡΠΎΡΡΠΈΠΉΡΠΊΠΎΠΌ ΡΡΠ½ΠΊΠ΅ ΠΆΠΈΠ»ΡΡ
Purpose of the study. Development, justification and testing of a methodology for improving statistical monitoring of average prices in the Russian housing market, based on the use of registration information of the Unified State Register of Real Estate (USRN) on transactions for the purchase of residential real estate, in accordance with international statistical standards for Residential Property Price statistics.Materials and methods. The theoretical basis of the study was the United Nations system of national accounts (version of 2008), including the European system of accounts as amended in 2010. The research methodological base was made up of official statistical sources: metadata and international statistics guidelines in the field of national accounting, Handbook on Residential Property Price Indices and related housing indicators, as well as methodological provisions and an album of Rosstat forms, and methodological materials of the administrative statistics of the Federal Service for State Registration, Cadastre and Cartography of the Russian Federation (Rosreestr). The depersonalized registration data on householdsβ market transactions of the Unified State Register of Property Rights and Transactions maintaining by Rosreestr were used as an information database of the research.Results. The main result of the study is the design and substantiation of a system of indicators for the construction of an integrated information source for Residential Property Price statistics, on the base on interdepartmental information interaction.Conclusion. The proposed system of indicators will provide a highquality database that could be used in order to construct constant quality House Prices for various types of homogeneous residential property in the housing market, complying with the concepts of international statistical standards.Π¦Π΅Π»Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ. Π Π°Π·ΡΠ°Π±ΠΎΡΠΊΠ°, ΠΎΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΈ Π°ΠΏΡΠΎΠ±Π°ΡΠΈΡ ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠΈ ΡΠΎΠ²Π΅ΡΡΠ΅Π½ΡΡΠ²ΠΎΠ²Π°Π½ΠΈΡ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π½Π°Π±Π»ΡΠ΄Π΅Π½ΠΈΡ Π·Π° ΡΡΠ΅Π΄Π½ΠΈΠΌΠΈ ΡΠ΅Π½Π°ΠΌΠΈ Π½Π° ΡΠΎΡΡΠΈΠΉΡΠΊΠΎΠΌ ΡΡΠ½ΠΊΠ΅ ΠΆΠΈΠ»ΡΡ, Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ ΡΠ΅Π³ΠΈΡΡΡΠ°ΡΠΈΠΎΠ½Π½ΠΎΠΉ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ ΠΎ ΡΠ΄Π΅Π»ΠΊΠ°Ρ
ΠΏΠΎ ΠΊΡΠΏΠ»Π΅-ΠΏΡΠΎΠ΄Π°ΠΆΠ΅ ΠΆΠΈΠ»ΠΎΠΉ Π½Π΅Π΄Π²ΠΈΠΆΠΈΠΌΠΎΡΡΠΈ Π² ΠΠ΄ΠΈΠ½ΠΎΠΌ Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π΅Π½Π½ΠΎΠΌ ΡΠ΅Π΅ΡΡΡΠ΅ Π½Π΅Π΄Π²ΠΈΠΆΠΈΠΌΠΎΡΡΠΈ (ΠΠΠ Π), Π² ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΠΈΠΈ Ρ ΠΌΠ΅ΠΆΠ΄ΡΠ½Π°ΡΠΎΠ΄Π½ΡΠΌΠΈ ΡΡΡΡΠ½ΡΠΌΠΈ ΡΡΠ°Π½Π΄Π°ΡΡΠ°ΠΌΠΈ ΡΡΠ°ΡΠΈΡΡΠΈΠΊΠΈ ΡΠ΅Π½ Π½Π° ΡΡΠ½ΠΊΠ΅ ΠΆΠΈΠ»ΠΎΠΉ Π½Π΅Π΄Π²ΠΈΠΆΠΈΠΌΠΎΡΡΠΈ.ΠΠ°ΡΠ΅ΡΠΈΠ°Π»Ρ ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ. Π’Π΅ΠΎΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΎΡΠ½ΠΎΠ²ΠΎΠΉ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΡΠ°Π»Π° ΡΠΈΡΡΠ΅ΠΌΠ° Π½Π°ΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ
ΡΡΠ΅ΡΠΎΠ² ΠΠΠ Π² ΡΠ΅Π΄Π°ΠΊΡΠΈΠΈ 2008 Π³ΠΎΠ΄Π°, Π² ΡΠΎΠΌ ΡΠΈΡΠ»Π΅ Π΅Π²ΡΠΎΠΏΠ΅ΠΉΡΠΊΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ ΡΡΠ΅ΡΠΎΠ² Π² ΡΠ΅Π΄Π°ΠΊΡΠΈΠΈ 2010 Π³ΠΎΠ΄Π°. ΠΠ΅ΡΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΡΡ Π±Π°Π·Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠΎΡΡΠ°Π²ΠΈΠ»ΠΈ ΠΎΡΠΈΡΠΈΠ°Π»ΡΠ½ΡΠ΅ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΈΡΡΠΎΡΠ½ΠΈΠΊΠΈ: ΠΌΠ΅ΡΠ°Π΄Π°Π½Π½ΡΠ΅ ΠΈ ΡΡΠΊΠΎΠ²ΠΎΠ΄ΡΡΠ²Π° ΠΌΠ΅ΠΆΠ΄ΡΠ½Π°ΡΠΎΠ΄Π½ΠΎΠΉ ΡΡΠ°ΡΠΈΡΡΠΈΠΊΠΈ Π² ΠΎΠ±Π»Π°ΡΡΠΈ ΡΡΡΡΠ° ΠΈ Π°Π½Π°Π»ΠΈΠ·Π° ΡΠ΅Π½ Π½Π° ΡΡΠ½ΠΊΠ΅ ΠΆΠΈΠ»ΠΎΠΉ Π½Π΅Π΄Π²ΠΈΠΆΠΈΠΌΠΎΡΡΠΈ, ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΏΠΎΠ»ΠΎΠΆΠ΅Π½ΠΈΡ ΠΈ Π°Π»ΡΠ±ΠΎΠΌ ΡΠΎΡΠΌ Π ΠΎΡΡΡΠ°ΡΠ°, Π° ΡΠ°ΠΊΠΆΠ΅ ΠΌΠ΅ΡΠ°Π΄Π°Π½Π½ΡΠ΅ Π°Π΄ΠΌΠΈΠ½ΠΈΡΡΡΠ°ΡΠΈΠ²Π½ΠΎΠΉ ΡΡΠ°ΡΠΈΡΡΠΈΠΊΠΈ Π€Π΅Π΄Π΅ΡΠ°Π»ΡΠ½ΠΎΠΉ ΡΠ»ΡΠΆΠ±Ρ Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π΅Π½Π½ΠΎΠΉ ΡΠ΅Π³ΠΈΡΡΡΠ°ΡΠΈΠΈ, ΠΊΠ°Π΄Π°ΡΡΡΠ° ΠΈ ΠΊΠ°ΡΡΠΎΠ³ΡΠ°ΡΠΈΠΈ (Π ΠΎΡΡΠ΅Π΅ΡΡΡΠ°). Π ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΠΎΠΉ Π±Π°Π·Ρ Π΄Π»Ρ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΈΡ ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ°Π»ΡΠ½ΡΡ
ΡΠ°ΡΡΡΡΠΎΠ² Π±ΡΠ»ΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½Ρ Π΄Π΅ΠΏΠ΅ΡΡΠΎΠ½ΠΈΡΠΈΡΠΈΡΠΎΠ²Π°Π½Π½ΡΠ΅ ΡΠ²Π΅Π΄Π΅Π½ΠΈΡ ΠΠ΄ΠΈΠ½ΠΎΠ³ΠΎ Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π΅Π½Π½ΠΎΠ³ΠΎ ΡΠ΅Π΅ΡΡΡΠ° Π½Π΅Π΄Π²ΠΈΠΆΠΈΠΌΠΎΡΡΠΈ ΠΈ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΌΠ°ΡΠ΅ΡΠΈΠ°Π»Ρ ΠΏΠΎ Π΅Π³ΠΎ Π²Π΅Π΄Π΅Π½ΠΈΡ.Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ. ΠΠ»Π°Π²Π½ΡΠΌ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΎΠΌ Π²ΡΠΏΠΎΠ»Π½Π΅Π½Π½ΠΎΠ³ΠΎ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»ΡΠ΅ΡΡΡ ΠΊΠΎΠ½ΡΡΡΡΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΠΈ ΠΎΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΠ΅ ΡΠΈΡΡΠ΅ΠΌΡ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ Π΄Π»Ρ ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΈΠ½ΡΠ΅Π³ΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ ΡΠΎΠ½Π΄Π° ΡΡΠ°ΡΠΈΡΡΠΈΠΊΠΈ ΡΠ΅Π½ Π½Π° ΡΡΠ½ΠΊΠ΅ ΠΆΠΈΠ»ΡΡ, ΠΎΡΠ½ΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ Π½Π° ΠΌΠ΅ΠΆΠ²Π΅Π΄ΠΎΠΌΡΡΠ²Π΅Π½Π½ΠΎΠΌ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΠΎΠΌ Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΠΈΠΈ.ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅. ΠΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π½Π°Ρ ΡΠΈΡΡΠ΅ΠΌΠ° ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠΈΡ ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΠΉ, ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΡΡΡΠΈΠΉ ΡΡΠ΅Π±ΠΎΠ²Π°Π½ΠΈΡΠΌ ΠΌΠ΅ΠΆΠ΄ΡΠ½Π°ΡΠΎΠ΄Π½ΡΡ
ΡΡΠ°Π½Π΄Π°ΡΡΠΎΠ² ΡΠ°ΡΡΡΡ ΡΡΠ΅Π΄Π½ΠΈΡ
ΡΠ΅Π½ ΠΊΠ²Π°Π΄ΡΠ°ΡΠ½ΠΎΠ³ΠΎ ΠΌΠ΅ΡΡΠ° ΠΎΠ±ΡΠ΅ΠΉ ΠΏΠ»ΠΎΡΠ°Π΄ΠΈ ΠΊΠ²Π°ΡΡΠΈΡ Π½Π° ΡΡΠ½ΠΊΠ΅ ΠΆΠΈΠ»ΠΎΠΉ Π½Π΅Π΄Π²ΠΈΠΆΠΈΠΌΠΎΡΡΠΈ, Π² ΡΠ°Π·ΡΠ΅Π·Π΅ Π³ΡΡΠΏΠΏ ΠΊΠ²Π°ΡΡΠΈΡ, ΠΎΠ΄Π½ΠΎΡΠΎΠ΄Π½ΡΡ
ΠΏΠΎ Π½Π°Π±ΠΎΡΡ ΠΎΡΠ½ΠΎΠ²Π½ΡΡ
ΡΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½Π½ΡΡ
Π΄Π»Ρ ΡΠ΅Π΄Π΅ΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π½Π°Π±Π»ΡΠ΄Π΅Π½ΠΈΡ ΠΏΡΠΈΠ·Π½Π°ΠΊΠΎΠ², Π½Π° ΠΊΠ²Π°ΡΡΠ°Π»ΡΠ½ΠΎΠΉ ΠΈ Π³ΠΎΠ΄ΠΎΠ²ΠΎΠΉ ΠΎΡΠ½ΠΎΠ²Π΅
ΠΡΠΎΠ±Π»Π΅ΠΌΡ ΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠΉ ΠΈΠ΄Π΅Π½ΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΈ ΠΏΠΎΡΠ΅ΡΡ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π° ΠΎΡ ΠΏΠ°Π½Π΄Π΅ΠΌΠΈΠΈ COVID-19 ΠΈ ΠΏΡΡΠΈ ΠΈΡ ΡΠ΅ΡΠ΅Π½ΠΈΡ Π² ΡΠΈΡΡΠ΅ΠΌΠ΅ ΠΌΠ΅ΠΆΠ΄ΡΠ½Π°ΡΠΎΠ΄Π½ΡΡ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΡ ΡΡΠ°Π½Π΄Π°ΡΡΠΎΠ²
Purpose of research. Analysis of the information capabilities of the methodology of the UN national accounts system as amended in 2008 to solve the problems of regional identification of production losses from the COVID-19 pandemic. The coronavirus infection pandemic caused a decline in production in almost all types of economic activity. The Russian government has identified a strategy to counter the extraordinary economic crisis triggered by the pandemic. The range of addressees of anti-crisis measures of the executive branch in the sectors of producers is determined, at the federal and regional levels, according to the main type of activity declared during registration, in accordance with the approved list of codes of the Russian National Classifier of Types of Economic Activity for the types of activities that are most affected by the pandemic and self-isolation regime. The approved list of such types of activities over the past 2 months has been repeatedly adjusted by the Government of the Russian Federation, taking into account the recommendations of experts and proposals of business-structures, in order to ensure the highest efficiency and targeted state support for manufacturers. Ensuring targeted state support during optimization of the federal resources distribution between regions - is an urgent task that requires accurate regional identification of production losses from the COVID-19 pandemic. However, the solution of this problem is significantly difficult in relation to the activities of multi-regional producers - enterprises that carry out production simultaneously in several territories of the Russian Federation. This is due to the characteristics of the organization system of statistical accounting of resources and production results in the enterprise sector. The paper considers the possibility of assessing the gross value added at the regional level for the aggregate of local producing units, grouped by the type of economic activity, based on methodological principles harmonized with international standards and guidelines of the current version of the national and regional accounts system and provided with resources of official (state and administrative) statistics of the Russian Federation.Materials and methods. The research information base was made up of official statistical sources: metadata and international statistics guidelines in the field of subnational accounting, methodological provisions and an album of ROSSTAT forms, as well as methodological materials of administrative statistics of the Federal Tax Service (FTS) and the Social Insurance Fund. The methodological basis of the study was the United Nations system of national accounts as amended in 2008, including the European system of regional accounts as amended in 2010.Results. The paper analyzes the principles of the European system of regional accounts, which are useful to use in Russian statistics for adequate accounting of the activitiesβ results of multiregional enterprises at the place of actual production and methodological approaches to assessing the number of such enterprises and the results of their production at the subnational level are proposed. The results obtained will allow us to estimate the loss of multiregional enterprises of different types of activity from the decline in production as a result of the ban on interregional relations during the COVID-19 pandemic, in order to determine the recipients of state support for enterprises in the regions. In particular, the proposed indicator for reducing the regional GVA for the most affected by the quarantine measures activities can be used as a condition for the allocation of funds as part of overcoming the consequences of the pandemic. The application of the proposed methodology in calculating the gross value added at the place of actual production for the aggregate of geographically separate divisions of multiregional enterprises will increase the targeting and effectiveness of state support for enterprises and entrepreneurs affected by the consequences of the spread of coronavirus infection, and will optimize the distribution of federal resources between regions, which is a prerequisite for successful overcoming βcoronacrisisβ.Π¦Π΅Π»Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ. ΠΠ½Π°Π»ΠΈΠ· ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΡΡ
Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠ΅ΠΉ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΠΈ ΡΠΈΡΡΠ΅ΠΌΠ° Π½Π°ΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ
ΡΡΠ΅ΡΠΎΠ² ΠΠΠ Π² ΡΠ΅Π΄Π°ΠΊΡΠΈΠΈ 2008 Π³ΠΎΠ΄Π° Π΄Π»Ρ ΡΠ΅ΡΠ΅Π½ΠΈΡ ΠΏΡΠΎΠ±Π»Π΅ΠΌ ΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠΉ ΠΈΠ΄Π΅Π½ΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΈ ΠΏΠΎΡΠ΅ΡΡ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π° ΠΎΡ ΠΏΠ°Π½Π΄Π΅ΠΌΠΈΠΈ COVID-19. ΠΠ°Π½Π΄Π΅ΠΌΠΈΡ ΠΊΠΎΡΠΎΠ½Π°Π²ΠΈΡΡΡΠ½ΠΎΠΉ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΈ Π²ΡΠ·Π²Π°Π»Π° ΡΠΏΠ°Π΄ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π° ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈ Π²ΠΎ Π²ΡΠ΅Ρ
Π²ΠΈΠ΄Π°Ρ
ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠΉ Π΄Π΅ΡΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ. ΠΡΠ°Π²ΠΈΡΠ΅Π»ΡΡΡΠ²ΠΎ Π Π€ ΠΎΠΏΡΠ΅Π΄Π΅Π»ΠΈΠ»ΠΎ ΡΡΡΠ°ΡΠ΅Π³ΠΈΡ ΠΏΡΠΎΡΠΈΠ²ΠΎΠ΄Π΅ΠΉΡΡΠ²ΠΈΡ ΡΠ΅ΠΊΡΡΠ΅ΠΌΡ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠΌΡ ΠΊΡΠΈΠ·ΠΈΡΡ, ΡΠΏΡΠΎΠ²ΠΎΡΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠΌΡ ΠΏΠ°Π½Π΄Π΅ΠΌΠΈΠ΅ΠΉ. ΠΡΡΠ³ Π°Π΄ΡΠ΅ΡΠ°ΡΠΎΠ² Π°Π½ΡΠΈΠΊΡΠΈΠ·ΠΈΡΠ½ΡΡ
ΠΌΠ΅ΡΠΎΠΏΡΠΈΡΡΠΈΠΉ ΠΈΡΠΏΠΎΠ»Π½ΠΈΡΠ΅Π»ΡΠ½ΠΎΠΉ Π²Π»Π°ΡΡΠΈ Π² ΡΠ΅ΠΊΡΠΎΡΠ°Ρ
ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΡΠ΅Π»Π΅ΠΉ ΠΎΠΏΡΠ΅Π΄Π΅Π»ΡΠ΅ΡΡΡ ΠΈ Π½Π° ΡΠ΅Π΄Π΅ΡΠ°Π»ΡΠ½ΠΎΠΌ, ΠΈ Π½Π° ΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠΌ ΡΡΠΎΠ²Π½Π΅ ΠΏΠΎ Π·Π°ΡΠ²Π»Π΅Π½Π½ΠΎΠΌΡ ΠΏΡΠΈ ΡΠ΅Π³ΠΈΡΡΡΠ°ΡΠΈΠΈ ΠΎΡΠ½ΠΎΠ²Π½ΠΎΠΌΡ Π²ΠΈΠ΄Ρ Π΄Π΅ΡΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ, Π² ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΠΈΠΈ Ρ ΡΡΠ²Π΅ΡΠΆΠ΄Π΅Π½Π½ΡΠΌ ΠΏΠ΅ΡΠ΅ΡΠ½Π΅ΠΌ ΠΊΠΎΠ΄ΠΎΠ² ΠΠΠΠΠ Π²ΠΈΠ΄ΠΎΠ² Π΄Π΅ΡΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ, Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΠΏΠΎΡΡΡΠ°Π΄Π°Π²ΡΠΈΡ
ΠΎΡ ΠΏΠ°Π½Π΄Π΅ΠΌΠΈΠΈ ΠΈ ΡΠ΅ΠΆΠΈΠΌΠ° ΡΠ°ΠΌΠΎΠΈΠ·ΠΎΠ»ΡΡΠΈΠΈ. Π£ΡΠ²Π΅ΡΠΆΠ΄ΡΠ½Π½ΡΠΉ ΠΏΠ΅ΡΠ΅ΡΠ΅Π½Ρ ΡΠ°ΠΊΠΈΡ
Π²ΠΈΠ΄ΠΎΠ² Π΄Π΅ΡΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ Π·Π° ΠΏΠΎΡΠ»Π΅Π΄Π½ΠΈΠ΅ 2 ΠΌΠ΅ΡΡΡΠ° Π½Π΅ΠΎΠ΄Π½ΠΎΠΊΡΠ°ΡΠ½ΠΎ ΠΊΠΎΡΡΠ΅ΠΊΡΠΈΡΠΎΠ²Π°Π»ΡΡ ΠΡΠ°Π²ΠΈΡΠ΅Π»ΡΡΡΠ²ΠΎΠΌ Π Π€, Ρ ΡΡΡΡΠΎΠΌ ΡΠ΅ΠΊΠΎΠΌΠ΅Π½Π΄Π°ΡΠΈΠΉ ΡΠΊΡΠΏΠ΅ΡΡΠΎΠ² ΠΈ ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½ΠΈΠΉ Π±ΠΈΠ·Π½Π΅Ρ β ΡΡΡΡΠΊΡΡΡ, ΡΡΠΎΠ±Ρ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠΈΡΡ Π½Π°ΠΈΠ±ΠΎΠ»ΡΡΡΡ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΈΠ²Π½ΠΎΡΡΡ ΠΈ Π°Π΄ΡΠ΅ΡΠ½ΠΎΡΡΡ Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π΅Π½Π½ΠΎΠΉ ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΠΈ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΡΠ΅Π»Π΅ΠΉ. ΠΠ±Π΅ΡΠΏΠ΅ΡΠ΅Π½ΠΈΠ΅ Π°Π΄ΡΠ΅ΡΠ½ΠΎΡΡΠΈ Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π΅Π½Π½ΠΎΠΉ ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΠΈ ΠΏΡΠΈ ΠΎΠΏΡΠΈΠΌΠΈΠ·Π°ΡΠΈΠΈ ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ ΠΌΠ΅ΠΆΠ΄Ρ ΡΠ΅Π³ΠΈΠΎΠ½Π°ΠΌΠΈ ΡΠ΅Π΄Π΅ΡΠ°Π»ΡΠ½ΡΡ
ΡΠ΅ΡΡΡΡΠΎΠ² β ΡΡΠΎ Π°ΠΊΡΡΠ°Π»ΡΠ½Π°Ρ Π·Π°Π΄Π°ΡΠ°, ΠΊΠΎΡΠΎΡΠ°Ρ ΡΡΠ΅Π±ΡΠ΅Ρ ΡΠΎΡΠ½ΠΎΠΉ ΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠΉ ΠΈΠ΄Π΅Π½ΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΈ ΠΏΠΎΡΠ΅ΡΡ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π° ΠΎΡ ΠΏΠ°Π½Π΄Π΅ΠΌΠΈΠΈ COVID-19. ΠΠ΄Π½Π°ΠΊΠΎ ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ ΡΡΠΎΠΉ Π·Π°Π΄Π°ΡΠΈ ΡΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎ Π·Π°ΡΡΡΠ΄Π½Π΅Π½ΠΎ Π² ΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΠΈ Π΄Π΅ΡΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ ΠΌΡΠ»ΡΡΠΈΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ
ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΡΠ΅Π»Π΅ΠΉ β ΠΏΡΠ΅Π΄ΠΏΡΠΈΡΡΠΈΠΉ, ΠΊΠΎΡΠΎΡΡΠ΅ ΠΎΡΡΡΠ΅ΡΡΠ²Π»ΡΡΡ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²ΠΎ ΠΎΠ΄Π½ΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΠΎ Π½Π° Π½Π΅ΡΠΊΠΎΠ»ΡΠΊΠΈΡ
ΡΠ΅ΡΡΠΈΡΠΎΡΠΈΡΡ
Π Π€. ΠΡΠΎ ΠΎΠ±ΡΡΠ»ΠΎΠ²Π»Π΅Π½ΠΎ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΡΠΌΠΈ ΠΎΡΠ³Π°Π½ΠΈΠ·Π°ΡΠΈΠΈ ΡΠΈΡΡΠ΅ΠΌΠ° ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΡΡΡΠ° ΡΠ΅ΡΡΡΡΠΎΠ² ΠΈ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΎΠ² ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π° Π² ΡΠ΅ΠΊΡΠΎΡΠ΅ ΠΏΡΠ΅Π΄ΠΏΡΠΈΡΡΠΈΠΉ. Π ΡΠ°Π±ΠΎΡΠ΅ ΡΠ°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°ΡΡΡΡ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ ΠΎΡΠ΅Π½ΠΊΠΈ Π²Π°Π»ΠΎΠ²ΠΎΠΉ Π΄ΠΎΠ±Π°Π²Π»Π΅Π½Π½ΠΎΠΉ ΡΡΠΎΠΈΠΌΠΎΡΡΠΈ Π½Π° ΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠΌ ΡΡΠΎΠ²Π½Π΅ Π΄Π»Ρ ΡΠΎΠ²ΠΎΠΊΡΠΏΠ½ΠΎΡΡΠΈ ΠΌΠ΅ΡΡΠ½ΡΡ
ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠΈΡ
Π΅Π΄ΠΈΠ½ΠΈΡ, ΡΠ³ΡΡΠΏΠΏΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
ΠΏΠΎ Π²ΠΈΠ΄Π°ΠΌ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠΉ Π΄Π΅ΡΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ, Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΡΠΈΠ½ΡΠΈΠΏΠΎΠ², Π³Π°ΡΠΌΠΎΠ½ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
Ρ ΠΌΠ΅ΠΆΠ΄ΡΠ½Π°ΡΠΎΠ΄Π½ΡΠΌΠΈ ΡΡΠ°Π½Π΄Π°ΡΡΠ°ΠΌΠΈ ΠΈ ΡΡΠΊΠΎΠ²ΠΎΠ΄ΡΡΠ²Π°ΠΌΠΈ Π°ΠΊΡΡΠ°Π»ΡΠ½ΠΎΠΉ Π²Π΅ΡΡΠΈΠΈ ΡΠΈΡΡΠ΅ΠΌΡ Π½Π°ΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ
ΠΈ ΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ
ΡΡΠ΅ΡΠΎΠ² ΠΈ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠ΅Π½Π½ΡΡ
ΡΠ΅ΡΡΡΡΠ°ΠΌΠΈ ΠΎΡΠΈΡΠΈΠ°Π»ΡΠ½ΠΎΠΉ (Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π΅Π½Π½ΠΎΠΉ ΠΈ Π°Π΄ΠΌΠΈΠ½ΠΈΡΡΡΠ°ΡΠΈΠ²Π½ΠΎΠΉ) ΡΡΠ°ΡΠΈΡΡΠΈΠΊΠΈ Π Π€.ΠΠ°ΡΠ΅ΡΠΈΠ°Π»Ρ ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ. ΠΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΡΡ Π±Π°Π·Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠΎΡΡΠ°Π²ΠΈΠ»ΠΈ ΠΎΡΠΈΡΠΈΠ°Π»ΡΠ½ΡΠ΅ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΈΡΡΠΎΡΠ½ΠΈΠΊΠΈ: ΠΌΠ΅ΡΠ°- Π΄Π°Π½Π½ΡΠ΅ ΠΈ ΡΡΠΊΠΎΠ²ΠΎΠ΄ΡΡΠ²Π° ΠΌΠ΅ΠΆΠ΄ΡΠ½Π°ΡΠΎΠ΄Π½ΠΎΠΉ ΡΡΠ°ΡΠΈΡΡΠΈΠΊΠΈ Π² ΠΎΠ±Π»Π°ΡΡΠΈ ΡΡΠ±Π½Π°ΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠ³ΠΎ ΡΡΡΡΠ°, ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΏΠΎΠ»ΠΎΠΆΠ΅Π½ΠΈΡ ΠΈ Π°Π»ΡΠ±ΠΎΠΌ ΡΠΎΡΠΌ Π ΠΎΡΡΡΠ°ΡΠ°, Π° ΡΠ°ΠΊΠΆΠ΅ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΌΠ°ΡΠ΅ΡΠΈΠ°Π»Ρ Π°Π΄ΠΌΠΈΠ½ΠΈΡΡΡΠ°ΡΠΈΠ²Π½ΠΎΠΉ ΡΡΠ°ΡΠΈΡΡΠΈΠΊΠΈ Π€Π΅Π΄Π΅ΡΠ°Π»ΡΠ½ΠΎΠΉ Π½Π°Π»ΠΎΠ³ΠΎΠ²ΠΎΠΉ ΡΠ»ΡΠΆΠ±Ρ (Π€ΠΠ‘) ΠΈ Π€ΠΎΠ½Π΄Π° ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΡΡΡΠ°Ρ
ΠΎΠ²Π°Π½ΠΈΡ (Π€Π‘Π‘). ΠΠ΅ΡΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΎΡΠ½ΠΎΠ²ΠΎΠΉ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΡΠ°Π»Π° ΡΠΈΡΡΠ΅ΠΌΠ° Π½Π°ΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ
ΡΡΠ΅ΡΠΎΠ² ΠΠΠ Π² ΡΠ΅Π΄Π°ΠΊΡΠΈΠΈ 2008 Π³ΠΎΠ΄Π°, Π² ΡΠΎΠΌ ΡΠΈΡΠ»Π΅ Π΅Π²ΡΠΎΠΏΠ΅ΠΉΡΠΊΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ ΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ
ΡΡΠ΅ΡΠΎΠ² Π² ΡΠ΅Π΄Π°ΠΊΡΠΈΠΈ 2010 Π³ΠΎΠ΄Π°.Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ. Π ΡΠ°Π±ΠΎΡΠ΅ ΠΏΡΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Ρ ΠΏΡΠΈΠ½ΡΠΈΠΏΡ Π΅Π²ΡΠΎΠΏΠ΅ΠΉΡΠΊΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ ΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ
ΡΡΠ΅ΡΠΎΠ², ΠΊΠΎΡΠΎΡΡΠ΅ ΠΏΠΎΠ»Π΅Π·Π½ΠΎ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΡ Π² ΡΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ ΡΡΠ°ΡΠΈΡΡΠΈΠΊΠ΅ Π΄Π»Ρ Π°Π΄Π΅ΠΊΠ²Π°ΡΠ½ΠΎΠ³ΠΎ ΡΡΡΡΠ° ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΎΠ² Π΄Π΅ΡΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ ΠΌΡΠ»ΡΡΠΈΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ
ΠΏΡΠ΅Π΄ΠΏΡΠΈΡΡΠΈΠΉ ΠΏΠΎ ΠΌΠ΅ΡΡΡ ΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π° ΠΈ ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Ρ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄Ρ ΠΊ ΠΎΡΠ΅Π½ΠΊΠ΅ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²Π° ΡΠ°ΠΊΠΈΡ
ΠΏΡΠ΅Π΄ΠΏΡΠΈΡΡΠΈΠΉ ΠΈ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΎΠ² ΠΈΡ
ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π° Π½Π° ΡΡΠ±Π½Π°ΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠΌ ΡΡΠΎΠ²Π½Π΅. ΠΠΎΠ»ΡΡΠ΅Π½Π½ΡΠ΅ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡ Π°Π΄Π΅ΠΊΠ²Π°ΡΠ½ΠΎ ΠΎΡΠ΅Π½ΠΈΡΡ ΠΏΠΎΡΠ΅ΡΠΈ ΠΌΡΠ»ΡΡΠΈΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ
ΠΏΡΠ΅Π΄ΠΏΡΠΈΡΡΠΈΠΉ ΡΠ°Π·Π½ΡΡ
Π²ΠΈΠ΄ΠΎΠ² Π΄Π΅ΡΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ ΠΎΡ ΡΠΏΠ°Π΄Π° ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π° Π² ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ΅ Π·Π°ΠΏΡΠ΅ΡΠ° Π½Π° ΠΌΠ΅ΠΆΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΡΠ΅ ΡΠ²ΡΠ·ΠΈ Π² ΠΏΠ΅ΡΠΈΠΎΠ΄ ΠΏΠ°Π½Π΄Π΅ΠΌΠΈΠΈ COVID-19, Ρ ΡΠ΅Π»ΡΡ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ ΠΏΠΎΠ»ΡΡΠ°ΡΠ΅Π»Π΅ΠΉ Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π΅Π½Π½ΠΎΠΉ ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΠΈ ΠΏΡΠ΅Π΄ΠΏΡΠΈΡΡΠΈΠΉ Π² ΡΠ΅Π³ΠΈΠΎΠ½Π°Ρ
. Π ΡΠ°ΡΡΠ½ΠΎΡΡΠΈ, ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π½ΡΠΉ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Ρ ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΡ ΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠΉ ΠΠΠ‘ ΠΏΠΎ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΠΏΠΎΡΡΡΠ°Π΄Π°Π²ΡΠΈΠΌ ΠΎΡ ΠΊΠ°ΡΠ°Π½ΡΠΈΠ½Π½ΡΡ
ΠΌΠ΅Ρ Π²ΠΈΠ΄Π°ΠΌ Π΄Π΅ΡΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ ΠΌΠΎΠΆΠ΅Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΡΡΡ Π² ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ ΡΡΠ»ΠΎΠ²ΠΈΡ ΠΏΡΠΈ Π²ΡΠ΄Π΅Π»Π΅Π½ΠΈΠΈ ΡΠΎΠ½Π΄ΠΎΠ² Π² ΡΠ°ΠΌΠΊΠ°Ρ
ΠΏΡΠ΅ΠΎΠ΄ΠΎΠ»Π΅Π½ΠΈΡ ΠΏΠΎΡΠ»Π΅Π΄ΡΡΠ²ΠΈΠΉ ΠΏΠ°Π½Π΄Π΅ΠΌΠΈΠΈ. ΠΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π½ΠΎΠΉ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΠΈ Π² ΡΠ°ΡΡΡΡΠ°Ρ
Π²Π°Π»ΠΎΠ²ΠΎΠΉ Π΄ΠΎΠ±Π°Π²Π»Π΅Π½Π½ΠΎΠΉ ΡΡΠΎΠΈΠΌΠΎΡΡΠΈ ΠΏΠΎ ΠΌΠ΅ΡΡΡ ΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π° Π΄Π»Ρ ΡΠΎΠ²ΠΎΠΊΡΠΏΠ½ΠΎΡΡΠΈ ΡΠ΅ΡΡΠΈΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎ ΠΎΠ±ΠΎΡΠΎΠ±Π»Π΅Π½Π½ΡΡ
ΠΏΠΎΠ΄ΡΠ°Π·Π΄Π΅Π»Π΅Π½ΠΈΠΉ ΠΌΡΠ»ΡΡΠΈΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ
ΠΏΡΠ΅Π΄ΠΏΡΠΈΡΡΠΈΠΉ ΠΏΠΎΠ²ΡΡΠΈΡ Π°Π΄ΡΠ΅ΡΠ½ΠΎΡΡΡ ΠΈ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΈΠ²Π½ΠΎΡΡΡ Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π΅Π½Π½ΠΎΠΉ ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΠΈ ΠΏΡΠ΅Π΄ΠΏΡΠΈΡΡΠΈΠΉ ΠΈ ΠΏΡΠ΅Π΄ΠΏΡΠΈΠ½ΠΈΠΌΠ°ΡΠ΅Π»Π΅ΠΉ, ΠΏΠΎΡΡΡΠ°Π΄Π°Π²ΡΠΈΡ
ΠΎΡ ΠΏΠΎΡΠ»Π΅Π΄ΡΡΠ²ΠΈΠΉ ΡΠ°ΡΠΏΡΠΎΡΡΡΠ°Π½Π΅Π½ΠΈΡ ΠΊΠΎΡΠΎΠ½Π°Π²ΠΈΡΡΡΠ½ΠΎΠΉ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΈ, ΠΈ ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΡ ΠΎΠΏΡΠΈΠΌΠΈΠ·ΠΈΡΠΎΠ²Π°ΡΡ ΡΠ°ΡΠΏΡΠ΅- Π΄Π΅Π»Π΅Π½ΠΈΠ΅ ΡΠ΅Π΄Π΅ΡΠ°Π»ΡΠ½ΡΡ
ΡΠ΅ΡΡΡΡΠΎΠ² ΠΌΠ΅ΠΆΠ΄Ρ ΡΠ΅Π³ΠΈΠΎΠ½Π°ΠΌΠΈ, ΡΡΠΎ ΡΠ²Π»ΡΠ΅ΡΡΡ Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΡΠΌ ΡΡΠ»ΠΎΠ²ΠΈΠ΅ΠΌ ΡΡΠΏΠ΅ΡΠ½ΠΎΠ³ΠΎ ΠΏΡΠ΅ΠΎΠ΄ΠΎΠ»Π΅Π½ΠΈΡ Β«ΠΊΠΎΡΠΎΠ½Π°ΠΊΡΠΈΠ·ΠΈΡΠ°Β»
Oligomerization of the E. coli Core RNA Polymerase: Formation of (Ξ±2Ξ²Ξ²'Ο)2βDNA Complexes and Regulation of the Oligomerization by Auxiliary Subunits
In this work, using multiple, dissimilar physico-chemical techniques, we demonstrate that the Escherichia coli RNA polymerase core enzyme obtained through a classic purification procedure forms stable (Ξ±2Ξ²Ξ²'Ο)2 complexes in the presence or absence of short DNA probes. Multiple control experiments indicate that this self-association is unlikely to be mediated by RNA polymerase-associated non-protein molecules. We show that the formation of (Ξ±2Ξ²Ξ²'Ο)2 complexes is subject to regulation by known RNA polymerase interactors, such as the auxiliary SWI/SNF subunit of RNA polymerase RapA, as well as NusA and Ο70. We also demonstrate that the separation of the core RNA polymerase and RNA polymerase holoenzyme species during Mono Q chromatography is likely due to oligomerization of the core enzyme. We have analyzed the oligomeric state of the polymerase in the presence or absence of DNA, an aspect that was missing from previous studies. Importantly, our work demonstrates that RNA polymerase oligomerization is compatible with DNA binding. Through in vitro transcription and in vivo experiments (utilizing a RapAR599/Q602 mutant lacking transcription-stimulatory function), we demonstrate that the formation of tandem (Ξ±2Ξ²Ξ²'Ο)2βDNA complexes is likely functionally significant and beneficial for the transcriptional activity of the polymerase. Taken together, our findings suggest a novel structural aspect of the E. coli elongation complex. We hypothesize that transcription by tandem RNA polymerase complexes initiated at hypothetical bidirectional βorigins of transcriptionβ may explain recurring switches of the direction of transcription in bacterial genomes
Top-Down Feedback in an HMAX-Like Cortical Model of Object Perception Based on Hierarchical Bayesian Networks and Belief Propagation
PubMed ID: 2313976
The 3-Base Periodicity and Codon Usage of Coding Sequences Are Correlated with Gene Expression at the Level of Transcription Elongation
Background: Gene transcription is regulated by DNA transcriptional regulatory elements, promoters and enhancers that are located outside the coding regions. Here, we examine the characteristic 3-base periodicity of the coding sequences and analyse its correlation with the genome-wide transcriptional profile of yeast. Principal Findings: The analysis of coding sequences by a new class of indices proposed here identified two different sources of 3-base periodicity: the codon frequency and the codon sequence. In exponentially growing yeast cells, the codon-frequency component of periodicity accounts for 71.9 % of the variability of the cellular mRNA by a strong association with the density of elongating mRNA polymerase II complexes. The mRNA abundance explains most of the correlation between the codon-frequency component of periodicity and protein levels. Furthermore, pyrimidine-ending codons of the four-fold degenerate small amino acids alanine, glycine and valine are associated with genes with double the transcription rate of those associated with purine-ending codons. Conclusions: We demonstrate that the 3-base periodicity of coding sequences is higher than expected by the codon usage frequency (CUF) and that its components, associated with codon bias and amino acid composition, are correlated with gene expression, principally at the level of transcription elongation. This indicates a role of codon sequences in maximising the transcription efficiency in exponentially growing yeast cells. Moreover, the results contrast with the common Darwinia
The Generation of Promoter-Mediated Transcriptional Noise in Bacteria
Noise in the expression of a gene produces fluctuations in the concentration
of the gene product. These fluctuations can interfere with optimal function or
can be exploited to generate beneficial diversity between cells; gene
expression noise is therefore expected to be subject to evolutionary pressure.
Shifts between modes of high and low rates of transcription initiation at a
promoter appear to contribute to this noise both in eukaryotes and prokaryotes.
However, models invoked for eukaryotic promoter noise such as stable activation
scaffolds or persistent nucleosome alterations seem unlikely to apply to
prokaryotic promoters. We consider the relative importance of the steps
required for transcription initiation. The 3-step transcription initiation
model of McClure is extended into a mathematical model that can be used to
predict consequences of additional promoter properties. We show in principle
that the transcriptional bursting observed at an E. coli promoter by Golding et
al. (2005) can be explained by stimulation of initiation by the negative
supercoiling behind a transcribing RNA polymerase (RNAP) or by the formation of
moribund or dead-end RNAP-promoter complexes. Both mechanisms are tunable by
the alteration of promoter kinetics and therefore allow the optimization of
promoter mediated noise.Comment: 4 figures, 1 table. Supplemental materials are also include
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