267 research outputs found
Study of an induction-type liquid-metal MHD generator
Construction and performance tests of induction type liquid potassium magnetohydrodynamic generato
Search for optimal design of sectional drills with replaceable many-sided plates at railway rails drilling
The power analysis technique of sectional drills with replaceable many-sided plates at railway rails drilling has been offered. It allowed increasing tool working capacity. The technique is based on summation of specific cutting force component by the length of working areas of plates cutting rims. The increase of working capacity is achieved due to decreasing cutting force radial components of each of the plat
An Approach to Designing the Interface of the Automated Documentary System
n the paper the procedure for calculation, designing and estimation of the ergonomics of the interface
of systems of document circulation is considered. The original computation procedure and the data received
during the designing of the interface of documentary system are given
Development and validation of 'AutoRIF': Software for the automated analysis of radiation-induced foci
Copyright @ 2012 McVean et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.This article has been made available through the Brunel Open Access Publishing Fund.Background: The quantification of radiation-induced foci (RIF) to investigate the induction and subsequent repair of DNA double strands breaks is now commonplace. Over the last decade systems specific for the automatic quantification of RIF have been developed for this purpose, however to ask more mechanistic questions on the spatio-temporal aspects of RIF, an automated RIF analysis platform that also quantifies RIF size/volume and relative three-dimensional (3D) distribution of RIF within individual nuclei, is required.
Results: A java-based image analysis system has been developed (AutoRIF) that quantifies the number, size/volume and relative nuclear locations of RIF within 3D nuclear volumes. Our approach identifies nuclei using the dynamic Otsu threshold and RIF by enhanced Laplacian filtering and maximum entropy thresholding steps and, has an application βbatch optimisationβ process to ensure reproducible quantification of RIF. AutoRIF was validated by comparing output against manual quantification of the same 2D and 3D image stacks with results showing excellent concordance over a whole range of sample time points (and therefore range of total RIF/nucleus) after low-LET radiation exposure.
Conclusions: This high-throughput automated RIF analysis system generates data with greater depth of information and reproducibility than that which can be achieved manually and may contribute toward the standardisation of RIF analysis. In particular, AutoRIF is a powerful tool for studying spatio-temporal relationships of RIF using a range of DNA damage response markers and can be run independently of other software, enabling most personal computers to perform image analysis. Future considerations for AutoRIF will likely include more complex algorithms that enable multiplex analysis for increasing combinations of cellular markers.This article is made available through the Brunel Open Access Publishing Fund
Urban demographic decline in the traditional industrial regions of the Urals (1959β2010)
The article was submitted on 17.04.2016.Π Π°ΡΡΠΌΠΎΡΡΠ΅Π½Π° Π΄Π΅ΠΌΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΠ°Ρ ΠΊΠ°ΡΠ°ΡΡΡΠΎΡΠ°, ΠΏΠΎΡΡΠΈΠ³ΡΠ°Ρ Π³ΠΎΡΠΎΠ΄Π° ΡΡΠ°ΡΠΎΠΏΡΠΎΠΌΡΡΠ»Π΅Π½Π½ΠΎΠ³ΠΎ Π£ΡΠ°Π»Π° Π² 1960β2000-Π΅ Π³Π³. Π¦Π΅Π»ΡΡ Π°Π²ΡΠΎΡΠ° ΡΡΠ°Π»ΠΎ Π²ΡΡΠ²Π»Π΅Π½ΠΈΠ΅ ΠΌΠ°ΡΡΡΠ°Π±Π° ΡΡΠΎΠ³ΠΎ ΡΠ²Π»Π΅Π½ΠΈΡ. ΠΠΎΠ΄ Β«Π΄Π΅ΠΏΡΠ΅ΡΡΠΈΠ²Π½ΡΠΌ Π³ΠΎΡΠΎΠ΄ΠΎΠΌΒ» ΠΏΠΎΠ½ΠΈΠΌΠ°Π΅ΡΡΡ ΡΡΠ°Π΄ΠΈΡ Π΅Π³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ, Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΠ·ΡΡΡΠ°ΡΡΡ, ΠΏΠΎ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ Ρ ΠΏΡΠ΅Π΄ΡΠ΅ΡΡΠ²ΡΡΡΠΈΠΌ ΠΏΠ΅ΡΠΈΠΎΠ΄ΠΎΠΌ, ΡΠΏΠ°Π΄ΠΎΠΌ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π°, ΠΏΠΎΡΠ²Π»Π΅Π½ΠΈΠ΅ΠΌ Π±Π΅Π·ΡΠ°Π±ΠΎΡΠΈΡΡ, ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΠ΅ΠΌ ΠΈΠ½Π²Π΅ΡΡΠΈΡΠΈΠΎΠ½Π½ΠΎΠΉ ΠΈ ΠΌΠΈΠ³ΡΠ°ΡΠΈΠΎΠ½Π½ΠΎΠΉ ΠΏΡΠΈΠ²Π»Π΅ΠΊΠ°ΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ ΠΈ ΡΠΎΠΏΡΠΎΠ²ΠΎΠΆΠ΄Π°ΡΡΠ°ΡΡΡ ΠΎΡΡΠΎΠΊΠΎΠΌ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ. ΠΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΎΡΠ½ΠΎΠ²ΡΠ²Π°Π΅ΡΡΡ Π½Π° ΡΠ°ΡΡΠ΅ΡΠ°Ρ
Π΄Π΅ΠΌΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΈ ΠΈ ΡΠΎΠΏΠΎΡΡΠ°Π²Π»Π΅Π½ΠΈΠΈ Π² ΡΠ°Π·ΡΠ΅Π·Π΅ ΠΎΡΠ΄Π΅Π»ΡΠ½ΡΡ
Π³ΠΎΡΠΎΠ΄ΡΠΊΠΈΡ
ΠΏΠΎΡΠ΅Π»Π΅Π½ΠΈΠΉ Π£ΡΠ°Π»Π° ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΎΠ² Π²ΡΠ΅ΡΠΎΡΠ·Π½ΡΡ
, Π° Π·Π°ΡΠ΅ΠΌ Π²ΡΠ΅ΡΠΎΡΡΠΈΠΉΡΠΊΠΈΡ
ΠΏΠ΅ΡΠ΅ΠΏΠΈΡΠ΅ΠΉ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ 1959, 1970, 1979, 1989, 2002 ΠΈ 2010 Π³. ΠΡΠΎΠ±Π»Π΅ΠΌΡ Π³ΠΎΡΠΎΠ΄ΠΎΠ² Π£ΡΠ°Π»Π° Π½Π°Ρ
ΠΎΠ΄ΡΡΡΡ Π² ΠΎΠ΄Π½ΠΎΠΌ ΡΡΠ΄Ρ Ρ Π°Π½Π°Π»ΠΎΠ³ΠΈΡΠ½ΡΠΌΠΈ ΠΊΡΠΈΠ·ΠΈΡΠ½ΡΠΌΠΈ ΡΠ²Π»Π΅Π½ΠΈΡΠΌΠΈ, ΠΊΠΎΡΠΎΡΡΠ΅ ΠΎΡΠΌΠ΅ΡΠ°Π»ΠΈΡΡ Π² Π₯Π₯ Π². Π² Π°ΠΌΠ΅ΡΠΈΠΊΠ°Π½ΡΠΊΠΈΡ
Π³ΠΎΡΠΎΠ΄Π°Ρ
ΡΠ°ΠΉΠΎΠ½Π° ΠΠΏΠΏΠ°Π»Π°ΡΠ΅ΠΉ, Π² Π³ΠΎΡΠΎΠ΄Π°Ρ
Π½Π΅ΠΌΠ΅ΡΠΊΠΎΠ³ΠΎ Π ΡΡΠ°, Π² Π°Π½Π³Π»ΠΈΠΉΡΠΊΠΈΡ
ΡΠ³Π»Π΅Π΄ΠΎΠ±ΡΠ²Π°ΡΡΠΈΡ
ΠΈ ΠΌΠ΅ΡΠ°Π»Π»ΡΡΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠ°ΠΉΠΎΠ½Π°Ρ
. Π Π°Π·ΡΠ°Π±ΠΎΡΠ°Π½Π½Π°Ρ Π°Π²ΡΠΎΡΠΎΠΌ ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠ° Π²ΡΡΠ²Π»Π΅Π½ΠΈΡ Π΄Π΅ΠΏΡΠ΅ΡΡΠΈΠ²Π½ΡΡ
ΠΏΠΎΡΠ΅Π»Π΅Π½ΠΈΠΉ ΠΏΡΠ΅Π΄ΠΏΠΎΠ»Π°Π³Π°Π΅Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ Π΄Π²ΡΡ
Π΄Π΅ΠΌΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΊΡΠΈΡΠ΅ΡΠΈΠ΅Π²: Π²ΠΎ-ΠΏΠ΅ΡΠ²ΡΡ
, ΡΡΠΎ ΡΠ±ΡΠ»Ρ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ Π³ΠΎΡΠΎΠ΄Π° Π±ΠΎΠ»Π΅Π΅ ΡΠ΅ΠΌ Π½Π° 5 % Π·Π° Π΄Π΅ΡΡΡΠΈΠ»Π΅ΡΠΈΠ΅, Π°, Π²ΠΎ-Π²ΡΠΎΡΡΡ
, ΡΡΡΠΎΠΉΡΠΈΠ²ΠΎΡΡΡ ΠΎΡΡΠΈΡΠ°ΡΠ΅Π»ΡΠ½ΠΎΠ³ΠΎ Π΄Π΅ΠΌΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π±Π°Π»Π°Π½ΡΠ° Π½Π° ΠΏΡΠΎΡΡΠΆΠ΅Π½ΠΈΠΈ Π½Π΅ΡΠΊΠΎΠ»ΡΠΊΠΈΡ
Π΄Π΅ΡΡΡΠΈΠ»Π΅ΡΠΈΠΉ. Π ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΠΈΠΈ Ρ ΡΡΠΎΠΉ ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠΎΠΉ Π±ΡΠ»ΠΎ ΡΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΎ, ΡΡΠΎ Π² ΠΏΠΎΠ·Π΄Π½Π΅ΡΠΎΠ²Π΅ΡΡΠΊΠΈΠΉ ΠΏΠ΅ΡΠΈΠΎΠ΄ (1959β1989) Π΄Π΅ΠΏΡΠ΅ΡΡΠΈΠ²Π½ΡΠΉ Ρ
Π°ΡΠ°ΠΊΡΠ΅Ρ ΡΠ°Π·Π²ΠΈΡΠΈΡ Π΄Π΅ΠΌΠΎΠ½ΡΡΡΠΈΡΠΎΠ²Π°Π»ΠΈ 18 Π³ΠΎΡΠΎΠ΄ΠΎΠ² Π£ΡΠ°Π»Π°. ΠΠ΅ΠΏΡΠ΅ΡΡΠΈΠ²Π½ΡΠ΅ ΡΠ΅Π½Π΄Π΅Π½ΡΠΈΠΈ Π² 1960β1980-Π΅ Π³Π³. Π½ΠΎΡΠΈΠ»ΠΈ Π½Π° Π£ΡΠ°Π»Π΅ ΠΎΡΠ°Π³ΠΎΠ²ΡΠΉ Ρ
Π°ΡΠ°ΠΊΡΠ΅Ρ ΠΈ ΠΏΠΎΡΠ°ΠΆΠ°Π»ΠΈ ΠΏΡΠ΅ΠΆΠ΄Π΅ Π²ΡΠ΅Π³ΠΎ Π³ΠΎΡΠ½ΠΎΠ΄ΠΎΠ±ΡΠ²Π°ΡΡΠΈΠ΅ Π°ΡΠ΅Π°Π»Ρ ΠΈ Π½Π΅ΠΊΠΎΡΠΎΡΡΠ΅ ΡΠ΅Π½ΡΡΡ ΠΌΠ΅ΡΠ°Π»Π»ΡΡΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π°. Π 1990-Π΅ ΠΈ 2000-Π΅ Π³Π³. ΡΡΡΡΠΊΡΡΡΠ½ΡΠ΅ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΡΠ΅ΡΠΎΡΠΌΡ ΠΈ ΠΏΠ΅ΡΠ΅Ρ
ΠΎΠ΄ ΠΊ ΡΡΠ½ΠΎΡΠ½ΡΠΌ ΡΠΎΡΠΌΠ°ΠΌ Ρ
ΠΎΠ·ΡΠΉΡΡΠ²ΠΎΠ²Π°Π½ΠΈΡ, Π²ΡΠ·Π²Π°Π²ΡΠΈΠ΅ ΡΠ΅Π·ΠΊΠΈΠΉ ΡΠΏΠ°Π΄ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π°, ΠΌΠ°ΡΡΠΎΠ²ΡΡ Π±Π΅Π·ΡΠ°Π±ΠΎΡΠΈΡΡ, ΠΏΠ°Π΄Π΅Π½ΠΈΠ΅ ΡΡΠΎΠ²Π½Ρ ΠΆΠΈΠ·Π½ΠΈ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ, ΠΏΡΠΈΠ²Π΅Π»ΠΈ ΠΊ ΡΠΎΠΌΡ, ΡΡΠΎ Π² ΡΠΎΡΡΠΎΡΠ½ΠΈΠΈ Π΄Π΅ΠΏΡΠ΅ΡΡΠΈΠΈ ΠΎΠΊΠ°Π·Π°Π»ΠΈΡΡ 56 Π΄Π΅ΠΏΡΠ΅ΡΡΠΈΠ²Π½ΡΡ
Π³ΠΎΡΠΎΠ΄ΠΎΠ². Π’ΠΎΠ»ΡΠΊΠΎ Π³ΠΎΡΠΎΠ΄Π° Π Π΅ΡΠΏΡΠ±Π»ΠΈΠΊΠΈ ΠΠ°ΡΠΊΠΎΡΡΠΎΡΡΠ°Π½, ΡΠ²ΡΠ·Π°Π½Π½ΡΠ΅ Ρ ΠΎΡΡΠ°ΡΠ»ΡΠΌΠΈ Π½Π΅ΡΡΠ΅Ρ
ΠΈΠΌΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΏΡΠΎΠΌΡΡΠ»Π΅Π½Π½ΠΎΡΡΠΈ, Π΄Π΅ΠΌΠΎΠ½ΡΡΡΠΈΡΠΎΠ²Π°Π»ΠΈ ΠΏΡΠΈΡΠΎΡΡ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ, Π² ΠΎΡΡΠ°Π»ΡΠ½ΡΡ
ΡΠ΅Π³ΠΈΠΎΠ½Π°Ρ
Π½Π°Π±Π»ΡΠ΄Π°Π»Π°ΡΡ Π·Π½Π°ΡΠΈΡΠ΅Π»ΡΠ½Π°Ρ Π΅Π³ΠΎ ΡΠ±ΡΠ»Ρ. ΠΠ΅ΠΏΡΠ΅ΡΡΠΈΡ Π³ΠΎΡΠΎΠ΄ΠΎΠ² Π£ΡΠ°Π»Π° Π½Π° ΡΡΠ±Π΅ΠΆΠ΅ XXβXXI Π²Π². ΠΈΠ·ΠΌΠ΅Π½ΠΈΠ»Π° ΡΠ²ΠΎΠΉ Ρ
Π°ΡΠ°ΠΊΡΠ΅Ρ Ρ ΠΎΡΠ°Π³ΠΎΠ²ΠΎΠ³ΠΎ Π½Π° ΡΡΠ±ΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΡΠΉ, ΠΏΠΎΡΠ°ΠΆΠ°Ρ ΡΠ΅Π»ΡΠ΅ Π°Π³Π»ΠΎΠΌΠ΅ΡΠ°ΡΠΈΠΈ ΠΈ ΡΠ΅ΡΡΠΈΡΠΎΡΠΈΠ°Π»ΡΠ½ΡΠ΅ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π΅Π½Π½ΡΠ΅ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΡ. Π£ΡΠ°Π»ΡΡΠΊΠΈΠ΅ ΠΌΠ΅Π³Π°ΠΏΠΎΠ»ΠΈΡΡ ΠΎΠΊΠ°Π·Π°Π»ΠΈΡΡ Π½Π΅ ΡΠΏΠΎΡΠΎΠ±Π½Ρ ΠΏΠΎΠ³Π»ΠΎΡΠΈΡΡ Π²Π΅ΡΡ ΠΈΡΡ
ΠΎΠ΄ΡΡΠΈΠΉ ΠΈΠ· ΠΌΠ°Π»ΡΡ
ΠΈ ΡΡΠ΅Π΄Π½ΠΈΡ
Π³ΠΎΡΠΎΠ΄ΠΎΠ² ΡΠ΅Π³ΠΈΠΎΠ½Π° ΠΌΠΈΠ³ΡΠ°ΡΠΈΠΎΠ½Π½ΡΠΉ ΠΏΠΎΡΠΎΠΊ, ΡΡΠΎ ΠΏΡΠΈΠ²Π΅Π»ΠΎ ΠΊ ΠΎΠ±ΡΠ΅ΠΌΡ ΠΎΡΡΠΎΠΊΡ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ Ρ Π£ΡΠ°Π»Π°. Π‘ΡΠΌΠΌΠ°ΡΠ½ΡΠΉ ΠΆΠ΅ ΠΈΡΠΎΠ³ ΠΏΡΠΎΡΠ΅ΡΡΠ° Π΄Π΅Π³ΡΠ°Π΄Π°ΡΠΈΠΈ Π³ΠΎΡΠΎΠ΄ΠΎΠ² Π·Π° Π΄Π²Π° ΠΏΠΎΡΡΡΠΎΠ²Π΅ΡΡΠΊΠΈΡ
Π΄Π΅ΡΡΡΠΈΠ»Π΅ΡΠΈΡ ΡΠΎΡΡΠ°Π²ΠΈΠ» Π² ΡΡΠ΅Π΄Π½Π΅ΠΌ 6,4 % ΡΠ±ΡΠ»ΠΈ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΠΏΠΎ Π²ΡΠ΅ΠΌ Π³ΠΎΡΠΎΠ΄Π°ΠΌ Π£ΡΠ°Π»ΡΡΠΊΠΎΠ³ΠΎ ΠΌΠ°ΠΊΡΠΎΡΠ΅Π³ΠΈΠΎΠ½Π°.This article considers the demographic disaster that occurred in traditional industrial Ural cities between the 1960s and the 2000s and demonstrates its scale. A βdepressed cityβ is a term denoting a stage in a cityβs development: it is characterised by a decline in production, the emergence of unemployment, and a decrease in investment and migration, all of which is followed by a fall in population. This research is based on calculations and comparisons of the demographic dynamics found in the All-Soviet Union and All-Russian censuses of 1959, 1970, 1979, 1980, 2002, and 2010 from the perspective of a number of individual Ural towns. The Urals have faced the same problems as American cities of the Appalachian region, German cities of the Ruhr district, and British coalmining and metallurgical regions in the 20th century. The author proposes a method for revealing depressed settlements. It uses two demographic criteria: first, a decrease of population exceeding five percent per decade and, second, the stability of a negative demographic balance across several decades. In accordance with this method, it is established that during the late Soviet period (1959β89) 18 Ural towns could be characterised as depressed. Between the 1960s and 1980s, such tendencies had a local nature in the Urals, mainly affecting mining areas and some metallurgical centres. However, between the 1990s and 2000s structural economic reforms and a shift to market forms of economic management caused a dramatic decline in production, mass unemployment, and a drop in living standards: 56 Ural cities thus became depressed. Only the cities of Bashkortostan, where petrochemical production has a significant presence, showed population growth, while other regions witnessed a significant loss of population. Once a local problem, depression became a sub-regional phenomenon striking entire agglomerations and territorial production complexes. Major Ural cities were unable to absorb all of the migration from settlements and towns of the region, which caused an outflow of population from the Urals. The two post-Soviet decades can be characterised by large-scale urban decline in the Urals: there was, on average, a 6.4 per cent population decrease in all the cities of the Ural macro-region.ΠΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΎΡΡΡΠ΅ΡΡΠ²Π»Π΅Π½ΠΎ ΠΏΡΠΈ ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΠ΅ Π ΠΎΡΡΠΈΠΉΡΠΊΠΎΠ³ΠΎ Π³ΡΠΌΠ°Π½ΠΈΡΠ°ΡΠ½ΠΎΠ³ΠΎ Π½Π°ΡΡΠ½ΠΎΠ³ΠΎ ΡΠΎΠ½Π΄Π°, ΠΏΡΠΎΠ΅ΠΊΡ β 15-31-01226 Β«Π‘ΡΠ°Π²Π½ΠΈΡΠ΅Π»ΡΠ½ΠΎΠ΅ ΠΈΠ·ΡΡΠ΅Π½ΠΈΠ΅ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΡΠ°ΡΠΎΠΏΡΠΎΠΌΡΡΠ»Π΅Π½Π½ΡΡ
ΡΠ°ΠΉΠΎΠ½ΠΎΠ² ΡΠ³Π»Π΅Π΄ΠΎΠ±ΡΡΠΈ Π ΠΎΡΡΠΈΠΈ ΠΈ ΠΠΎΠ»ΡΡΠΈ Π² Π₯Π₯ Π²Π΅ΠΊΠ΅Β»
Digital media and young correspondents temptations: risks of conflict
The article refers to three temptations that young journalists face by dealing with information and communication technologies, and the consequences this situation might lead to. These are: the loss of factchecking, reducing the social significance of information, manipulation of reality, switching attention to the author and the audience at particular cases and other risks. All of them turn into negative examples for beginners. The authors believe that it is necessary to introduce the junior reporters do the competence of critical thinking.Π ΡΡΠ°ΡΡΠ΅ ΠΈΠ΄Π΅Ρ ΡΠ΅ΡΡ ΠΎ ΡΡΠ΅Ρ
ΡΠΎΠ±Π»Π°Π·Π½Π°Ρ
, ΠΊΠΎΡΠΎΡΡΠΌ ΠΏΠΎΠ΄Π²Π΅ΡΠΆΠ΅Π½Ρ Π½Π°ΡΠΈΠ½Π°ΡΡΠΈΠ΅ ΠΆΡΡΠ½Π°Π»ΠΈΡΡΡ ΠΏΡΠΈ ΠΏΠΎΡΡΠΎΡΠ½Π½ΠΎΠΌ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠΈ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΠΎ-ΠΊΠΎΠΌΠΌΡΠ½ΠΈΠΊΠ°ΡΠΈΠ²Π½ΡΡ
ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ, ΠΈ ΠΏΠΎΡΠ»Π΅Π΄ΡΡΠ²ΠΈΡ, ΠΊ ΠΊΠΎΡΠΎΡΡΠΌ ΠΎΠ½ΠΈ ΠΌΠΎΠ³ΡΡ ΠΏΡΠΈΠ²Π΅ΡΡΠΈ. ΠΡΠΎ: ΡΡΡΠ°ΡΠ° Π½Π°Π²ΡΠΊΠΎΠ² ΠΏΡΠΎΠ²Π΅ΡΠΊΠΈ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ, ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΠ΅ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎΠΉ Π·Π½Π°ΡΠΈΠΌΠΎΡΡΠΈ ΡΠ°ΡΠΏΡΠΎΡΡΡΠ°Π½ΡΠ΅ΠΌΡΡ
ΡΠ²Π΅Π΄Π΅Π½ΠΈΠΉ, ΠΌΠ°Π½ΠΈΠΏΡΠ»ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΡΠ°ΠΊΡΠ°ΠΌΠΈ, ΠΏΠ΅ΡΠ΅ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅ Π²Π½ΠΈΠΌΠ°Π½ΠΈΠ΅ Π°Π²ΡΠΎΡΠ° ΠΈ Π°ΡΠ΄ΠΈΡΠΎΡΠΈΠΈ Π½Π° ΡΠ°ΡΡΠ½ΡΠ΅ ΡΠ»ΡΡΠ°ΠΈ ΠΈ Π΄ΡΡΠ³ΠΈΠ΅ ΡΠΈΡΠΊΠΈ. ΠΡΠ΅ ΠΎΠ½ΠΈ ΠΈΠΌΠ΅ΡΡΡΡ Π² ΠΏΡΠ°ΠΊΡΠΈΠΊΠ΅ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΠΉ ΡΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ ΠΆΡΡΠ½Π°Π»ΠΈΡΡΠΈΠΊΠΈ ΠΈ ΠΌΠΎΠ³ΡΡ ΡΡΠ°ΡΡ ΠΎΡΡΠΈΡΠ°ΡΠ΅Π»ΡΠ½ΡΠΌΠΈ ΠΏΡΠΈΠΌΠ΅ΡΠ°ΠΌΠΈ Π΄Π»Ρ Π½Π°ΡΠΈΠ½Π°ΡΡΠΈΡ
Π°Π²ΡΠΎΡΠΎΠ². ΠΡ ΡΡΠΈΡΠ°Π΅ΠΌ, ΡΡΠΎ Π½Π°ΡΡΠ΄Ρ Ρ ΡΠΈΡΡΠΎΠ²ΠΎΠΉ Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎ ΡΠ°Π·Π²ΠΈΠ²Π°ΡΡ Ρ ΠΌΠΎΠ»ΠΎΠ΄ΡΡ
ΠΊΠΎΡΡΠ΅ΡΠΏΠΎΠ½Π΄Π΅Π½ΡΠΎΠ² ΠΈ ΠΊΠΎΠΌΠΏΠ΅ΡΠ΅Π½ΡΠ½ΠΎΡΡΡ ΠΊΡΠΈΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΌΡΡΠ»Π΅Π½ΠΈΡ
Russian Media Criticism in Terms of Digital Media: Search for New Methods of Interaction with Audience
The author of the article revealed, firstly, the change of the model of communication with the audience from vertical to horizontal, which provides the possibility of dialogue betweenthe parties through a variety of network communication services. Secondly, modern television critic can no longer be a regular commentator and interpreter of media texts. He or she should be able to manage the information flow by creating articles in various social networks, on the editorial board site or a personal blog. Thirdly, the criticism loses its uniqueness because anyone can broadcast his or her opinion thanks to the development of the Internet and mobile services competition. Professional criticism is competing with the mass one and increasingly loses its presentation of information efficiency that, in the opinion of the author of the article, makes it difficult to work on the formation of critical thinking audience.ΠΠ²ΡΠΎΡΠΎΠΌ ΡΡΠ°ΡΡΠΈ Π²ΡΡΠ²Π»Π΅Π½ΠΎ, Π²ΠΎ-ΠΏΠ΅ΡΠ²ΡΡ
, ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΊΠΎΠΌΠΌΡΠ½ΠΈΠΊΠ°ΡΠΈΠΈ ΠΊΡΠΈΡΠΈΠΊΠ° Ρ Π°ΡΠ΄ΠΈΡΠΎΡΠΈΠ΅ΠΉ Ρ Π²Π΅ΡΡΠΈΠΊΠ°Π»ΡΠ½ΠΎΠΉ Π½Π° Π³ΠΎΡΠΈΠ·ΠΎΠ½ΡΠ°Π»ΡΠ½ΡΡ, ΡΡΠΎ ΠΏΡΠ΅Π΄ΡΡΠΌΠ°ΡΡΠΈΠ²Π°Π΅Ρ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΡ ΠΎΡΡΡΠ΅ΡΡΠ²Π»Π΅Π½ΠΈΡ Π΄ΠΈΠ°Π»ΠΎΠ³Π° ΠΌΠ΅ΠΆΠ΄Ρ ΡΡΠΎΡΠΎΠ½Π°ΠΌΠΈ ΠΏΠΎΡΡΠ΅Π΄ΡΡΠ²ΠΎΠΌ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
ΡΠ΅ΡΠ΅Π²ΡΡ
ΠΊΠΎΠΌΠΌΡΠ½ΠΈΠΊΠ°ΡΠΈΠ²Π½ΡΡ
ΡΠ΅ΡΠ²ΠΈΡΠΎΠ². ΠΠΎ-Π²ΡΠΎΡΡΡ
, ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΠΉ ΠΌΠ΅Π΄ΠΈΠΉΠ½ΡΠΉ ΠΊΡΠΈΡΠΈΠΊ ΡΠΆΠ΅ Π½Π΅ ΠΌΠΎΠΆΠ΅Ρ Π±ΡΡΡ ΠΎΠ±ΡΡΠ½ΡΠΌ ΠΎΠ±ΠΎΠ·ΡΠ΅Π²Π°ΡΠ΅Π»Π΅ΠΌ ΠΈ ΠΈΠ½ΡΠ΅ΡΠΏΡΠ΅ΡΠ°ΡΠΎΡΠΎΠΌ ΠΌΠ΅Π΄ΠΈΠΉΠ½ΡΡ
ΡΠ΅ΠΊΡΡΠΎΠ², ΠΎΠ½ Π΄ΠΎΠ»ΠΆΠ΅Π½ ΡΠΌΠ΅ΡΡ ΡΠΏΡΠ°Π²Π»ΡΡΡ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΡΠΌ ΠΏΠΎΡΠΎΠΊΠΎΠΌ, ΠΊΠΎΡΠΎΡΡΠΉ ΡΠ°ΠΌ ΠΆΠ΅ ΠΈ ΡΠΎΠ·Π΄Π°Π΅Ρ. Π-ΡΡΠ΅ΡΡΠΈΡ
, ΠΊΡΠΈΡΠΈΠΊ ΡΠ΅ΡΡΠ΅Ρ ΡΠ½ΠΈΠΊΠ°Π»ΡΠ½ΠΎΡΡΡ ΡΠ²ΠΎΠ΅Π³ΠΎ ΡΠΎΠ΄Π° Π΄Π΅ΡΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ, ΠΏΠΎΡΠΎΠΌΡ ΡΡΠΎ Ρ ΡΠ°Π·Π²ΠΈΡΠΈΠ΅ΠΌ ΠΈΠ½ΡΠ΅ΡΠ½Π΅Ρ- ΠΈ ΠΌΠΎΠ±ΠΈΠ»ΡΠ½ΡΡ
ΡΠ΅ΡΠ²ΠΈΡΠΎΠ² ΠΊΠΎΠ½ΠΊΡΡΠ΅Π½ΡΠΈΡ Π΅ΠΌΡ ΠΌΠΎΠΆΠ΅Ρ ΡΠΎΡΡΠ°Π²ΠΈΡΡ Π»ΡΠ±ΠΎΠΉ ΡΠ΅Π»ΠΎΠ²Π΅ΠΊ, ΠΈΠΌΠ΅ΡΡΠΈΠΉ ΡΠ²ΠΎΠ΅ ΠΌΠ½Π΅Π½ΠΈΠ΅ ΠΎ ΡΠ΅Π»Π΅Π²ΠΈΠ·ΠΈΠΎΠ½Π½ΠΎΠΉ ΠΏΠ΅ΡΠ΅Π΄Π°ΡΠ΅. Π Π½Π°ΡΡΠΎΡΡΠ΅Π΅ Π²ΡΠ΅ΠΌΡ ΠΏΡΠΎΡΠ΅ΡΡΠΈΠΎΠ½Π°Π»ΡΠ½Π°Ρ ΠΊΡΠΈΡΠΈΠΊΠ° ΠΊΠΎΠ½ΠΊΡΡΠΈΡΡΠ΅Ρ Ρ ΠΌΠ°ΡΡΠΎΠ²ΠΎΠΉ ΠΈ Π²ΡΠ΅ ΡΠ°ΡΠ΅ ΠΏΡΠΎΠΈΠ³ΡΡΠ²Π°Π΅Ρ Π΅ΠΉ Π² ΠΎΠΏΠ΅ΡΠ°ΡΠΈΠ²Π½ΠΎΡΡΠΈ ΠΏΠΎΠ΄Π°ΡΠΈ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ, ΡΡΠΎ, Π½Π° Π²Π·Π³Π»ΡΠ΄ Π°Π²ΡΠΎΡΠ° ΡΡΠ°ΡΡΠΈ, Π·Π°ΡΡΡΠ΄Π½ΡΠ΅Ρ ΡΠ°Π±ΠΎΡΡ ΠΏΠΎ ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΊΡΠΈΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΌΡΡΠ»Π΅Π½ΠΈΡ Π°ΡΠ΄ΠΈΡΠΎΡΠΈΠΈ
State Budget of USSR in 1950s β 80s: Dynamics and Structure of Income
The dynamics and structure of the revenue side of the state budget of the USSR in the period from 1950 to 1989 are considered on the basis of official statistical collections published by the Ministry of Finance of the USSR. It is stated that the dynamics of the revenues of the state budget of the USSR during the entire studied period was positive. There was a constant increase in income, which had an average annual value of about 6,5 % in relation to the previous year, which made it possible to increase the budget by more than one third in almost every five-year period. It is indicated that in just the period under study, the revenue side of the state budget in-creased by 11,6 times. The author comes to the conclusion that the historical dynamics of the distribution of incomes between the budgets of different levels testifies to the growing tendency towards the decentralization of the Soviet economy. It was revealed that this trend looks less unambiguous if we trace the change in the share of revenues of the republican and local budgets in the structure of the USSR state budget. It is shown that the most important deterrent to the decentralization of the Soviet economy was budget regulation, which allowed the state, on the one hand, to withdraw to the budget most of the profits of the socialist economy, and on the other, to keep the budgetary resources of local authorities under control
State budget of USSR in 1950s β 80s: dynamics and structure of expenditures
The structure of the state budget expenditure of the USSR in its historical dynamics during the 1950s β 1980s is considered. The sources were statistical collections published by the Ministry of Finance of the USSR in the period under review, on their basis the electronic database βState Budget of the USSRβ was created, according to which all the calculations presented in the article were carried out. It is noted that the dynamics of the state budget expenditures of the USSR during the entire period of the 1950s β 80s was positive. It is indicated that there was a constant increase in expenditures, which had an average annual value of about 6.5 %; in total, during the period under study, the expenditure part of the state budget increased by 11.6 times, and in per capita terms only by 7.3 times. It is shown that the structure of expenditures of the state budget of the USSR in the 1950s β 1980s included expenditures on the national economy, social and cultural events, public administration and defense. The author concludes that the construction of a welfare state in the USSR in the 1950s β 1970s, along with the burden of military spending, became a heavy burden on the budget system, limiting the governmentβs room for maneuver in the context of the budget crisis that broke out in the second half of the 1980s
Social Infrastructure of Soviet Enterprises in the 1950s-1980s: Sources and Mechanisms of Financing (Example of Chelyabinsk Tractor Plant)
The Sources and Mechanisms of Financing the Social Infrastructure of the Chelyabinsk Tractor Plant in the 1950s-1980s. This study examines the sources and mechanisms of financing the social infrastructure of the Chelyabinsk Tractor Plant, a large Soviet industrial enterprise, during the period of 1950s-1980s. The research is based on archival documents from the plant and its trade union organization, which are stored in the United State Archive of the Chelyabinsk Region. It was found that the plant had a significant amount of assets, including housing and a network of social, cultural, and sports facilities. Financing the social infra-structure of Soviet enterprises was a complex system that involved multiple independent sources. The plant made direct payments from its economic stimulation funds, covered the maintenance costs of various facilities transferred to the trade union organization, and covered losses from the housing and communal services system. In addition, funding for these facilities also came from the state budget, social insurance budget, trade union organization budget, targeted subsidies from the All-Russian Central Council of Trade Unions, revenues from self-supporting cultural and sports institutions, and others. The Chelyabinsk Tractor Plant was required to allocate up to 10 % of its profits towards maintaining its social infra-structure, while other sources of funding con-tributed comparable amounts
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