33 research outputs found
Economic Autonomy of Regions in the New Reality
The article expands on the concept of new reality (new normal) for Russia, which includes the increased role of individuals and larger economic autonomy of territories in their interaction with the federal center. The rationale is based on the hypothesis that, in the new reality, the improved wellbeing of people and elimination of economic disparities between the territories can be ensured by expanding their economic autonomy, because it leads to the increase in their intellectual, industrial and technological capacity. In this study, the author used the basic provisions of the classical economic theory, the theory of behavioral economics, interdisciplinary approach, and the method of statistical groupings. The article presents the trends in the economic autonomy of the territories, which include a decrease in the number of donor regions and differentiation of territories in terms of their socio-economic indicators. It substantiates the assumption that the differentiation of territories puts constrains on their socio-economic development and may lead to the emergence of a Β«regional peripheral economy,Β» the attribute of which is the dependence of the periphery from the center, reduced local initiative, and slowdown of technological development. The article identi es the need to use the mindset of people, their psychological attitudes in the economic development, the Β«second invisible hand of the marketΒ» and Β«soft powerΒ» in order to move beyond the Β«regional peripheral economy.Β» The conducted study demonstrates that the expansion of economic autonomy of the territories is not the increased self-isolation of regions and municipal entities, but consists in the need to retain a signi cant part of the income from the production of goods and services created by local people, so that it could be autonomously used by regional and municipal authorities and directed to improving the wellbeing of territoryβs residents.The author proposes to prepare a regulatory and legal document in order to ensure and strengthen the economic autonomy of the territories, and makes speci c proposals on the principles of its content and structure.This article has been prepared with the financial support of the Ural Branch of the Russian Academy of Sciences, Project No. 15β14β7-2
Accelerators and Deterrents to the Coordinated and Balanced Development of the Regions
In the article, the hypothesis that the modern industrial-technological process causes complication of socio-economic space and conducts to amplification its integrity, which, in turn, causes the need for the coordinated and balanced development, is proved. The process of complication of economic space is revealed as a result of number growth of communications caused by creation of the enterprises and organizations, by the change of structure of manufacture and increase of an educational level of the population. The characteristics of a new quality of economic space are given. The factors of the coordinated and balanced development of territories are allocated. The contents Β«a commercial combinationΒ» is shown. The necessity of transition to the system innovation thinking in conditions of becoming complicated economic space is proved. The idea of use Β«rebalancing of the economy Β« as a new vision of equation in conditions of crisis situations is offered. The conclusion is made that the result of theoretical and practical searches should become formation vital stability of development of territories, which is provided with intelligence β technological and moral β ethical level of the population, living on it.This article has been prepared with the financial support of the Ural Branch of the Russian Academy of Sciences, Project No. 15-14-7-2
Strategic Approach to Solving the Problem of Waste - Reducing their Education
Π ΡΡΠ°ΡΡΠ΅ ΠΎΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΎ ΠΏΠΎΠ»ΠΎΠΆΠ΅Π½ΠΈΠ΅ ΠΎ Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎΡΡΠΈ, ΠΏΡΠΈ ΡΠ΅ΡΠ΅Π½ΠΈΠΈ ΠΏΡΠΎΠ±Π»Π΅ΠΌΡ ΠΎΡΡ
ΠΎΠ΄ΠΎΠ², ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΡ ΡΡΡΠ°ΡΠ΅Π³ΠΈΡΠ΅ΡΠΊΠΈΠΉ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄, ΡΠΎΡΡΠΎΡΡΠΈΠΉ Π² ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠ΅ ΠΌΠ΅Ρ ΠΏΠΎ ΡΠΎΠΊΡΠ°ΡΠ΅Π½ΠΈΡ ΠΎΠ±ΡΠ΅ΠΌΠΎΠ² ΠΈΡ
ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΡ. ΠΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Ρ Π½Π°ΡΡΠ½ΠΎ-ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠ΅ Π±Π»ΠΎΠΊΠΈ ΡΠ΅ΡΠ΅Π½ΠΈΡ ΠΏΡΠΎΠ±Π»Π΅ΠΌΡ ΠΎΡΡ
ΠΎΠ΄ΠΎΠ² ΠΈ ΠΊΠΎΠ½ΠΊΡΠ΅ΡΠ½ΡΠ΅ ΠΏΡΡΠΈ ΠΈΡ
ΡΠΌΠ΅Π½ΡΡΠ΅Π½ΠΈΡ. ΠΠΎΠΊΠ°Π·Π°Π½Π° Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎΡΡΡ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΡ ΡΠΏΡΠΎΡΠΎΠ²ΡΡ
ΠΏΡΠ΅Π΄ΠΏΠΎΡΡΠ΅Π½ΠΈΠΉ ΠΏΠΎΡΡΠ΅Π±ΠΈΡΠ΅Π»Π΅ΠΉ Π² ΡΡΠΎΡΠΎΠ½Ρ ΠΏΡΠΈΠΎΠ±ΡΠ΅ΡΠ΅Π½ΠΈΡ ΡΠΊΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈ ΡΠΈΡΡΡΡ
ΡΠΎΠ²Π°ΡΠΎΠ², Π° ΡΠ°ΠΊΠΆΠ΅ ΡΠ°Π·Π²ΠΈΡΠΈΠ΅ Ρ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΠΎΡΠΎΠ·Π½Π°Π½Π½ΠΎΠ³ΠΎ ΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΡ ΠΊ ΠΏΡΠ΅Π΄Π²Π°ΡΠΈΡΠ΅Π»ΡΠ½ΠΎΠΉ ΡΠΎΡΡΠΈΡΠΎΠ²ΠΊΠ΅ Π²ΡΠ±ΡΠ°ΡΡΠ²Π°Π΅ΠΌΠΎΠ³ΠΎ ΠΌΡΡΠΎΡΠ°.The article substantiates the position of the need, when addressing the problem of waste, to use a strategic approach consisting in developing measures to reduce the volume of their formation. Scientific and methodological blocks for solving the problem of waste and specific ways to reduce them are proposed. The necessity of changing consumer demand preferences towards acquiring environmentally friendly goods, as well as the development of a conscious attitude to the pre-sorting of discharged garbage from the population, is shown.Π‘ΡΠ°ΡΡΡ ΠΏΠΎΠ΄Π³ΠΎΡΠΎΠ²Π»Π΅Π½Π° ΠΏΡΠΈ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΠΎΠΉ ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΠ΅ ΠΏΡΠΎΠ΅ΠΊΡΠ° ΡΡΠ½Π΄Π°ΠΌΠ΅Π½ΡΠ°Π»ΡΠ½ΡΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ Π£ΡΠ°Π»ΡΡΠΊΠΎΠ³ΠΎ ΠΎΡΠ΄Π΅Π»Π΅Π½ΠΈΡ Π ΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ Π°ΠΊΠ°Π΄Π΅ΠΌΠΈΠΈ Π½Π°ΡΠΊ β 18-6-7-18 Β«ΠΠ°ΡΡΠ½ΠΎ-ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΡΠ°Π·Π²ΠΈΡΠΈΠ΅ ΡΠ΅Π³ΠΈΠΎΠ½ΠΎΠ² Π½Π° ΠΏΡΠΈΠ½ΡΠΈΠΏΠ°Ρ
Π·Π΅Π»Π΅Π½ΠΎΠΉ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈΒ»
REAL ESTATE MARKET IN UKRAINE: TRENDS OF DEVELOPMENT AND CHALLENGES
The development of the real estate market in Ukraine has a positive impact on the economy, contributes to the activation of the banking sector, investment and employment growth, and improvement
of living conditions, which, in turn, alleviates social problems. The aim of the article is to study the components of the development of the real estate market in Ukraine. In the course of the work, various general scientific and special research methods were applied, including inductive and deductive
methods used to analyze the construction output, GDP, and the consumer price index. With the help of
economic analysis and comparison, an analysis of interest rates on deposits in hryvnia and foreign currency for 2005-2020 was carried out. The method of correlation-regression analysis was used to study
the relationships between the main influencing factors and the resultant factor (the volume of Ukraineβs
real estate market). The graphical method was used to visually represent the results of the study. The
abstract-logical method was used for theoretical generalizations and drawing conclusions.
The authors analyzed the real estate market in Ukraine and revealed a trend of growth in its capacity in value terms during 2010-2019 and a decrease in 2020 compared to the previous year. To forecast
the capacity of this market, it is important to identify the determinants that affect its development. A
multiple regression linear econometric model was used to quantitatively assess the impact of different factors on the development of Ukraineβs real estate market. The construction output (residential
buildings) in value terms was taken as a resultant factor. Consumer income, housing investment, and
divorce rate were taken as factors influencing it. Based on research, it was found that from 2005 to 2020
consumer income increased by 3.6 times, and in 2020 by 6.1%. This is one of the indicators among
the respondents, which had a positive trend over the past year. According to the results of research for
2019-2020, investments in housing construction, the number of divorces, and interest rates on mortgage loans in UAH for 2020 decreased by 39.9%, 13.2%, and 0.6 points respectively. Examining these
indicators for 2005-2020, we can say that only the number of divorces decreased by 5%. All other
indicators increased: interest rates on mortgage loans β by 18.2%, consumer incomes β by 35.5%,
and the construction output (residential buildings) β by 4 times.
Based on the coefficient of determination, F-test, and von Neumann criterion, it was established
that the constructed multiple econometric models are adequate for the statistical data of the population
and can be used for further analysis of the economic process. To study the influence of factors on the
construction output, partial coefficients of elasticity were analyzed. Based on the performed calculations, it was found that the development of the real estate market in Ukraine is primarily influenced by
an increase in consumer income and their investments in residential construction, with a 1% increase
leading to a 1.008% and 0.248% increase, respectively, in the construction output (residential buildings) in the real estate market of Ukraine. However, the conditions of the war, the decrease in the
income level of the Ukrainian population, decrease in the real estate investments, and the destruction
of a significant number of residential and non-residential premises have had a negative impact on the
studied market. Its activation is expected in the post-war period β the period of restoration of Ukraine
ΠΠ΅ΡΡΠΎΠ½Π°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½Π°Ρ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠ° ΡΠ΅Π°Π±ΠΈΠ»ΠΈΡΠ°ΡΠΈΠΈ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² ΡΡΠ°ΡΡΠ΅Π³ΠΎ Π²ΠΎΠ·ΡΠ°ΡΡΠ° Ρ ΠΎΡΡΠ΅ΠΎΠ°ΡΡΡΠΈΡΠΎΠΌ
Objective: to develop a personalized rehabilitation program for improving age-related resilience (AR), antioxidant status (AOS), the quality of life and reducing pain in elderly patients with osteoarthritis (OA).Patients and methods. The program consisted of two parts. In the first part, we conducted a comparative study to assess the AR (Mahnach test), geriatric status, and AOS (amperometric flow-injection analysis) in 181 subjects in total, with coxarthrosis (n=92) and without it (n=89). The average age of patients in two groups was comparable: 72.1Β±1.1 and 71.9Β±1.1 years. Using factor analysis, we developed the personalized rehabilitation program based on the obtained data. The effectiveness of the program was evaluated in the second part of our work. We conducted an additional comparative study of changes in AR, AOS, severity of joint pain (by visual analogue scale, VAS) and quality of life (according to SF-36 questionnaire) in patients with coxarthrosis (n=114).Results and discussion. Patients with coxarthrosis had significantly lower level of AR, total antioxidant, and antiradical activity, and a higher content of Schiff bases as compared to subjects without coxarthrosis (p<0.05). The program of rehabilitation, which included a course of treatment with Chondroquard, significantly improved AR, AOS, quality of life and reduced hip pain compared to the standard OA therapy (p<0.05).Conclusion. The personalized rehabilitation program has a complex positive effect on pain, quality of life, AR and AOS in elderly patients with OA.Π¦Π΅Π»Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ β ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠ° ΠΏΠ΅ΡΡΠΎΠ½Π°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠΉ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΡ ΡΠ΅Π°Π±ΠΈΠ»ΠΈΡΠ°ΡΠΈΠΈ, Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½Π½ΠΎΠΉ Π½Π° ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΠ΅ Π²ΠΎΠ·ΡΠ°ΡΡΠ½ΠΎΠΉ ΠΆΠΈΠ·Π½Π΅ΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡΠΈ (ΠΠ), ΡΠ»ΡΡΡΠ΅Π½ΠΈΠ΅ Π°Π½ΡΠΈΠΎΠΊΡΠΈΠ΄Π°Π½ΡΠ½ΠΎΠ³ΠΎ ΡΡΠ°ΡΡΡΠ° (ΠΠΠ‘), ΡΠΌΠ΅Π½ΡΡΠ΅Π½ΠΈΠ΅ Π±ΠΎΠ»ΠΈ ΠΈ ΡΠ»ΡΡΡΠ΅Π½ΠΈΠ΅ ΠΊΠ°ΡΠ΅ΡΡΠ²Π° ΠΆΠΈΠ·Π½ΠΈ Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² ΡΡΠ°ΡΡΠ΅Π³ΠΎ Π²ΠΎΠ·ΡΠ°ΡΡΠ° Ρ ΠΎΡΡΠ΅ΠΎΠ°ΡΡΡΠΈΡΠΎΠΌ (ΠΠ).ΠΠ°ΡΠΈΠ΅Π½ΡΡ ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ. ΠΡΠΎΠ³ΡΠ°ΠΌΠΌΠ° ΡΠΎΡΡΠΎΡΠ»Π° ΠΈΠ· Π΄Π²ΡΡ
ΡΠ°ΡΡΠ΅ΠΉ. Π ΠΏΠ΅ΡΠ²ΠΎΠΉ ΡΠ°ΡΡΠΈ Π΄Π»Ρ ΠΎΡΠ΅Π½ΠΊΠΈ ΡΠ΅Π·Π΅ΡΠ²Π½ΡΡ
ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ ΠΎΡΠ³Π°Π½ΠΈΠ·ΠΌΠ° Π±ΡΠ»ΠΎ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΎ ΡΡΠ°Π²Π½ΠΈΡΠ΅Π»ΡΠ½ΠΎΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΠ (ΡΠ΅ΡΡ ΠΠ°Ρ
Π½Π°ΡΠ°), Π³Π΅ΡΠΈΠ°ΡΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΡΠ°ΡΡΡΠ° ΠΈ ΠΠΠ‘ (Π°ΠΌΠΏΠ΅ΡΠΎΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠΈΠΉ ΠΏΡΠΎΡΠΎΡΠ½ΠΎ-ΠΈΠ½ΠΆΠ΅ΠΊΡΠΈΠΎΠ½Π½ΡΠΉ Π°Π½Π°Π»ΠΈΠ·) Ρ 181 ΠΏΠ°ΡΠΈΠ΅Π½ΡΠ° Ρ ΠΊΠΎΠΊΡΠ°ΡΡΡΠΎΠ·ΠΎΠΌ (n=92) ΠΈ Π±Π΅Π· ΡΠ°ΠΊΠΎΠ²ΠΎΠ³ΠΎ (n=89). Π‘ΡΠ΅Π΄Π½ΠΈΠΉ Π²ΠΎΠ·ΡΠ°ΡΡ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Π΄Π²ΡΡ
Π³ΡΡΠΏΠΏ Π±ΡΠ» ΡΠΎΠΏΠΎΡΡΠ°Π²ΠΈΠΌ: 72,1Β±1,1 ΠΈ 71,9Β±1,1 Π³ΠΎΠ΄Π°. ΠΠ° ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΠΈ ΠΏΠΎΠ»ΡΡΠ΅Π½Π½ΡΡ
Π΄Π°Π½Π½ΡΡ
Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ ΡΠ°ΠΊΡΠΎΡΠ½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π° Π±ΡΠ»Π° ΡΠ°Π·ΡΠ°Π±ΠΎΡΠ°Π½Π° ΠΏΠ΅ΡΡΠΎΠ½Π°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½Π°Ρ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠ° ΡΠ΅Π°Π±ΠΈΠ»ΠΈΡΠ°ΡΠΈΠΈ. ΠΠΎ Π²ΡΠΎΡΠΎΠΉ ΡΠ°ΡΡΠΈ ΡΠ°Π±ΠΎΡΡ ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΠ»Π°ΡΡ ΠΎΡΠ΅Π½ΠΊΠ° Π΅Π΅ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ. ΠΡΠ»ΠΎ Π²ΡΠΏΠΎΠ»Π½Π΅Π½ΠΎ Π΄ΠΎΠΏΠΎΠ»Π½ΠΈΡΠ΅Π»ΡΠ½ΠΎΠ΅ ΡΡΠ°Π²Π½ΠΈΡΠ΅Π»ΡΠ½ΠΎΠ΅ ΡΡΠ΅Ρ
ΠΌΠ΅ΡΡΡΠ½ΠΎΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΈ ΠΠ, ΠΠΠ‘, Π²ΡΡΠ°ΠΆΠ΅Π½Π½ΠΎΡΡΠΈ Π±ΠΎΠ»ΠΈ Π² ΡΡΡΡΠ°Π²Π°Ρ
(ΠΏΠΎ Π²ΠΈΠ·ΡΠ°Π»ΡΠ½ΠΎΠΉ Π°Π½Π°Π»ΠΎΠ³ΠΎΠ²ΠΎΠΉ ΡΠΊΠ°Π»Π΅) ΠΈ ΠΊΠ°ΡΠ΅ΡΡΠ²Π° ΠΆΠΈΠ·Π½ΠΈ (ΠΏΠΎ SF-36), Π² ΠΊΠΎΡΠΎΡΠΎΠ΅ Π²ΠΎΡΠ»ΠΈ 114 ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ ΠΊΠΎΠΊΡΠ°ΡΡΡΠΎΠ·ΠΎΠΌ.Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΈ ΠΎΠ±ΡΡΠΆΠ΄Π΅Π½ΠΈΠ΅. Π£ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ ΠΊΠΎΠΊΡΠ°ΡΡΡΠΎΠ·ΠΎΠΌ ΠΎΡΠΌΠ΅ΡΠ°Π»ΠΈΡΡ Π·Π½Π°ΡΠΈΠΌΠΎ Π±ΠΎΠ»Π΅Π΅ Π½ΠΈΠ·ΠΊΠΈΠ΅ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΠΈ ΠΠ, ΠΎΠ±ΡΠ΅ΠΉ Π°Π½ΡΠΈΠΎΠΊΠΈΡΠ»ΠΈΡΠ΅Π»ΡΠ½ΠΎΠΉ, Π°Π½ΡΠΈΡΠ°Π΄ΠΈΠΊΠ°Π»ΡΠ½ΠΎΠΉ Π°ΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ ΠΈ Π±ΠΎΠ»Π΅Π΅ Π²ΡΡΠΎΠΊΠΎΠ΅ ΡΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΠ΅ ΡΠΈΡΡΠΎΠ²ΡΡ
ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΠΉ ΠΏΠΎ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ Ρ ΡΠ°ΠΊΠΎΠ²ΡΠΌΠΈ Ρ Π»ΠΈΡ Π±Π΅Π· ΠΊΠΎΠΊΡΠ°ΡΡΡΠΎΠ·Π° (Ρ<0,05). Π Π°Π·ΡΠ°Π±ΠΎΡΠ°Π½Π½Π°Ρ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠ° ΡΠ΅Π°Π±ΠΈΠ»ΠΈΡΠ°ΡΠΈΠΈ, Π²ΠΊΠ»ΡΡΠ°Π²ΡΠ°Ρ ΠΊΡΡΡΠΎΠ²ΠΎΠ΅ Π»Π΅ΡΠ΅Π½ΠΈΠ΅ Π₯ΠΎΠ½Π΄ΡΠΎΠ³Π°ΡΠ΄ΠΎΠΌ, ΠΏΠΎ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ ΡΠΎ ΡΡΠ°Π½Π΄Π°ΡΡΠ½ΠΎΠΉ ΡΠ΅ΡΠ°ΠΏΠΈΠ΅ΠΉ ΠΠ Π·Π½Π°ΡΠΈΠΌΠΎ ΡΠ»ΡΡΡΠ°Π»Π° ΠΠ, ΠΠΠ‘, ΠΊΠ°ΡΠ΅ΡΡΠ²ΠΎ ΠΆΠΈΠ·Π½ΠΈ ΠΈ ΡΠΌΠ΅Π½ΡΡΠ°Π»Π° Π±ΠΎΠ»Ρ Π² ΡΠ°Π·ΠΎΠ±Π΅Π΄ΡΠ΅Π½Π½ΡΡ
ΡΡΡΡΠ°Π²Π°Ρ
(Ρ<0,05).ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅. ΠΠ΅ΡΡΠΎΠ½Π°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½Π°Ρ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠ° ΡΠ΅Π°Π±ΠΈΠ»ΠΈΡΠ°ΡΠΈΠΈ ΠΎΠΊΠ°Π·ΡΠ²Π°Π΅Ρ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ½ΠΎΠ΅ ΠΏΠΎΠ»ΠΎΠΆΠΈΡΠ΅Π»ΡΠ½ΠΎΠ΅ Π²Π»ΠΈΡΠ½ΠΈΠ΅ Π½Π° Π±ΠΎΠ»Ρ, ΠΊΠ°ΡΠ΅ΡΡΠ²ΠΎ ΠΆΠΈΠ·Π½ΠΈ, ΠΠ ΠΈ ΠΠΠ‘ Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² ΡΡΠ°ΡΡΠΈΡ
Π²ΠΎΠ·ΡΠ°ΡΡΠ½ΡΡ
Π³ΡΡΠΏΠΏ Ρ ΠΠ
Colorization and Automated Segmentation of Human T2 MR Brain Images for Characterization of Soft Tissues
Characterization of tissues like brain by using magnetic resonance (MR) images and colorization of the gray scale image has been reported in the literature, along with the advantages and drawbacks. Here, we present two independent methods; (i) a novel colorization method to underscore the variability in brain MR images, indicative of the underlying physical density of bio tissue, (ii) a segmentation method (both hard and soft segmentation) to characterize gray brain MR images. The segmented images are then transformed into color using the above-mentioned colorization method, yielding promising results for manual tracing. Our color transformation incorporates the voxel classification by matching the luminance of voxels of the source MR image and provided color image by measuring the distance between them. The segmentation method is based on single-phase clustering for 2D and 3D image segmentation with a new auto centroid selection method, which divides the image into three distinct regions (gray matter (GM), white matter (WM), and cerebrospinal fluid (CSF) using prior anatomical knowledge). Results have been successfully validated on human T2-weighted (T2) brain MR images. The proposed method can be potentially applied to gray-scale images from other imaging modalities, in bringing out additional diagnostic tissue information contained in the colorized image processing approach as described
Strategic planning of development of the territory - the emerging economic form of a response to market challenges and globalization
This article discusses the use of strategic development areas for the Russian response to the challenges of the market and globalization. It is shown that the economic form of the territorial coordination of actions of all participants in social production - business, government, the public - is acceptable for Russia and will contribute to the welfare of the people
TERRITORIAL CONJUGATION AND GENERATION OF KNOWLEDGE-BASED INNOVATION AREA
The paper deals with the issues concerned
with junction process influence on the character of
territorial development. The process of generation of
new activities is demonstrated, including territorial
conjugation and integrative economy. Emergence of
new self-sustained economic resources for territorial
development is demonstrated; the key resources
are knowledge-based and innovation potentials; in connection with that, territories acquire new quality
specified as a knowledge-based innovation area
Differences of opinion between K. Marx and A. I. Herzen over the prospects of economic development of Russia: Significance for the present time
The article analyses the differences in views between K. Marx and A.I. Herzen on the prospects of economic development of Russia in the second half of the 19th century. The paper shows that K. Marx proved his views relying on the development of the industry, which had created conditions for the extension of the individualistic capitalist relations as well as for the appearance of the proletariat. A. I. Herzen paid more attention to the community relations, which gave to the Russian capitalism national specificity. A considerable part of the differences between the views of K. Marx and A. I. Herzen on the prospects of economic development of Russia is connected with their attitude towards the Russian rural community. Therefore, the article reveals their understanding of this phenomenon. K. Marx understood the community in connection with land ownership. However, A. I. Herzen attributed different social aspects to the community, as well as discussed communal self-government. For the first time, I define their mental perception of the opportunities of social transformations in Russia as one of the main differences in views between K. Marx and A.I. Herzen. K. Marx was shaped by the values of industrial and urban society. Therefore, he looked at the prospects of economic development of Russia through the materialistic understanding of history, and considered the proletariat as the driving force of transformations. A. I. Herzen's way of thinking developed under the influence of the Russian mentality. As an artist and writer, he adhered to a figurative and intuitive, emotional type of thinking, which is closer to the rural life. He supported the change of a social regime, but considered that one should not destroy all the previous orders simply because they were old. He thought that it was necessary to understand the features of national mentality, and that the Russian collectivism was suitable for socialism more than the Western European individualism. I have proved that the differences of opinion between these two scientists are directly relevant to a challenge of choosing the road for the development of Russia in the 21st century. The collectivistic origins are to be considered, as well as the ideas of a social imprinting when forming the modern Russian capitalism. I have concluded that there were no serious differences in opinion between K. Marx and A. I. Herzen on the prospects of economic development of Russia in 19th century. There were certain divergences in views on understanding the Russian society. These divergences allow to see the beginning of essentially new approaches to the socio-economic development of modern Russia. Β© 2018 Economy of Region. All rights reserved.ΠΡΠΎΠ²Π΅Π΄Π΅Π½ Π°Π½Π°Π»ΠΈΠ· ΡΠ°ΡΡ
ΠΎΠΆΠ΄Π΅Π½ΠΈΠΉ Π²Π·Π³Π»ΡΠ΄ΠΎΠ² ΠΠ°ΡΠ»Π° ΠΠ°ΡΠΊΡΠ° ΠΈ ΠΠ»Π΅ΠΊΡΠ°Π½Π΄ΡΠ° ΠΠ²Π°Π½ΠΎΠ²ΠΈΡΠ° ΠΠ΅ΡΡΠ΅Π½Π° Π½Π° ΠΏΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ²Ρ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ Π ΠΎΡΡΠΈΠΈ Π²ΠΎ Π²ΡΠΎΡΠΎΠΉ ΠΏΠΎΠ»ΠΎΠ²ΠΈΠ½Π΅ 19 Π²Π΅ΠΊΠ°. ΠΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΡΠΎ ΠΠ°ΡΠ» ΠΠ°ΡΠΊΡ ΠΎΠ±ΠΎΡΠ½ΠΎΠ²ΡΠ²Π°Π» ΡΠ²ΠΎΠΈ Π²Π·Π³Π»ΡΠ΄Ρ, ΠΎΠΏΠΈΡΠ°ΡΡΡ Π½Π° ΡΠ°Π·Π²ΠΈΡΠΈΠ΅ ΠΏΡΠΎΠΌΡΡΠ»Π΅Π½Π½ΠΎΡΡΠΈ, ΠΊΠΎΡΠΎΡΠ°Ρ ΡΠΎΠ·Π΄Π°Π²Π°Π»Π° ΡΡΠ»ΠΎΠ²ΠΈΡ Π΄Π»Ρ ΡΠ°ΡΡΠΈΡΠ΅Π½ΠΈΡ ΠΈΠ½Π΄ΠΈΠ²ΠΈΠ΄ΡΠ°Π»ΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΊΠ°ΠΏΠΈΡΠ°Π»ΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΠΉ ΠΈ ΠΏΠΎΡΠ²Π»Π΅Π½ΠΈΡ ΠΏΡΠΎΠ»Π΅ΡΠ°ΡΠΈΠ°ΡΠ°. ΠΡΠΌΠ΅ΡΠ΅Π½ΠΎ, ΡΡΠΎ ΠΠ»Π΅ΠΊΡΠ°Π½Π΄Ρ ΠΠ²Π°Π½ΠΎΠ²ΠΈΡ ΠΠ΅ΡΡΠ΅Π½ Π±ΠΎΠ»ΡΡΠ΅ Π²Π½ΠΈΠΌΠ°Π½ΠΈΡ ΠΎΠ±ΡΠ°ΡΠ°Π» Π½Π° ΠΎΠ±ΡΠΈΠ½Π½ΡΠ΅ ΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΡ, ΠΊΠΎΡΠΎΡΡΠ΅ ΠΏΡΠΈΠ΄Π°Π²Π°Π»ΠΈ ΡΠΎΡΡΠΈΠΉΡΠΊΠΎΠΌΡ ΠΊΠ°ΠΏΠΈΡΠ°Π»ΠΈΠ·ΠΌΡ Π½Π°ΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ ΡΠΏΠ΅ΡΠΈΡΠΈΠΊΡ. ΠΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΎ, ΡΡΠΎ ΡΠ°ΡΡ
ΠΎΠΆΠ΄Π΅Π½ΠΈΡ Π²ΠΎ Π²Π·Π³Π»ΡΠ΄Π°Ρ
ΡΡΠΈΡ
ΠΌΡΡΠ»ΠΈΡΠ΅Π»Π΅ΠΉ ΠΈΠΌΠ΅ΡΡ ΠΏΡΡΠΌΠΎΠ΅ ΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΠ΅ ΠΊ ΡΠ΅ΡΠ΅Π½ΠΈΡ Π²ΠΎΠΏΡΠΎΡΠΎΠ² ΠΎ Π²ΡΠ±ΠΎΡΠ΅ ΠΏΡΡΠ΅ΠΉ ΡΠ°Π·Π²ΠΈΡΠΈΡ Π ΠΎΡΡΠΈΠΈ Π² 21 Π²Π΅ΠΊΠ΅. ΠΡΡΠΊΠ°Π·Π°Π½Ρ ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½ΠΈΡ ΠΎ Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎΡΡΠΈ ΡΡΠ΅ΡΠ° ΠΊΠΎΠ»Π»Π΅ΠΊΡΠΈΠ²ΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
Π½Π°ΡΠ°Π», Π° ΡΠ°ΠΊΠΆΠ΅ ΠΈΠ΄Π΅ΠΉ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΈΠΌΠΏΡΠΈΠ½ΡΠΈΠ½Π³Π° ΠΏΡΠΈ ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΠΈ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΠ³ΠΎ ΡΠΎΡΡΠΈΠΉΡΠΊΠΎΠ³ΠΎ ΠΊΠ°ΠΏΠΈΡΠ°Π»ΠΈΠ·ΠΌΠ°. Π‘Π΄Π΅Π»Π°Π½ Π²ΡΠ²ΠΎΠ΄, ΡΡΠΎ ΡΠ΅ΡΡΠ΅Π·Π½ΡΡ
ΡΠ°ΡΡ
ΠΎΠΆΠ΄Π΅Π½ΠΈΠΉ Π²ΠΎ Π²Π·Π³Π»ΡΠ΄Π°Ρ
Π½Π° ΠΏΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ²Ρ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ Π ΠΎΡΡΠΈΠΈ 19 Π²Π΅ΠΊΠ° Π½Π΅ Π±ΡΠ»ΠΎ