Количественный анализ динамики уровня здоровья населения РФ
The article provides an analysis of the dynamics of the level of health of the Russian population. The level of population health is understood as a composite index constructed on the basis of life expectancy index and morbidity index. We use regional data of the period 2005–2013. In the article a method of measuring the health of the population not for a given region, but for the county population as a whole, is proposed. Also the technique for identification of dynamics of health of the Russian population is given. This technique is based on the principle of stochastic dominance of second order for sample distribution functions of index of population health for regions. In addition, a method of partitioning regions of Russia into clusters, consisting of similar regions on the dynamics of health, is given. The proposed approaches can be used to monitor the health of the population in order to: 1) determine the dynamics of the level of health of the Russian population in the whole country, 2) identify regions with low levels of health that need support.
The mass application of mobile cardiographs already leads to both explosive quantitative growth of the number of patients available for ECG study, registered daily outside the hospital (Big DATA in cardiology), and to the emergence of new qualitative opportunities for the study of long-term oscillatory processes (weeks, months, years) of the dynamics of the individual state of the Cardiovascular system of any patient.
The article demonstrates that new opportunities of long - term continuous monitoring of the Cardiov ascular system state of patients ' mass allow to reveal the regularities (DATA MINING) of Cardiovascular system dynamics, leading to the hypothesis of the existence of an adequate Cardiovascular system model as a distributed nonlinearself - oscillating system of the FPU recurrence model class . The presence of a meaningful mathematical model of Cardiovascular system within the framework of the FPU auto – recurrence , as a refinement of the traditional model of studying black box, further allows us to offer new computational methods for ECG analysis and prediction of Cardiovascular system dynamics for a refined diagnosis and evaluation of the effectiveness of the treatment.
What is governmental effectiveness on the regional level? How can the study of regional effectiveness help us understand the performance of the political, social and economic systems of the state as a whole? These questions are very important from both the theoretical and applied perspectives, and the Russian Federation, with its huge and diverse territory, provides extremely rich material to answer them. Serious institutional reforms in the public sector have been implemented in recent years, and the results vary substantially from one region to another. So, in Russia, we can study how general attempts to make government more effective - guided by federal policies - produce particular regional effects, and, conversely, how regions implement federal policy differently. Both views tell us something important about overall governmental quality.
Governmental effectiveness, though in a broad sense one of the oldest issues in political science and philosophy, is currently enjoying a renaissance. The quantity of recent publications and even a special academic structure - The Quality of Government Institute in Sweden – illustrate the current interest. However, researching governmental effectiveness poses serious difficulties, on both the conceptual and instrumental levels. Despite (perhaps even because of) the variety of available theoretical frameworks, the essential core notions of governmental effectiveness and good governance remain murky. Furthermore, scholars disagree about what effectiveness and efficiency mean in a general sense. These issues obviously make it difficult to construct adequate measurement instruments.
The paper seeks to achieve three goals: 1) to review existing approaches and highlight their weak points; 2) to propose a theoretical framework for analyzing governmental effectiveness using appropriate estimation tools; and 3) to present empirical results based on data on public health care from Russia’s regions. Three patterns that ought to correlate - regional efficiency, how reform has been implemented and public opinion – are, instead, inconsistent with each other. Russia’s health-care sector today faces considerable problems with basic, systemic effectiveness.
On the basis of in-depth case studies of four Russian regions, Kirov and Voronezh oblasts and Krasnoyarsk and Perm' krais, the trade-offs among social and economic policy at the regional level in Russia are examined. All four regional governments seek to develop entrepreneurship while preserving social welfare obligations and improving compensation in the public sector. Richer regions have a greater ability to reconcile social commitments with the promotion of business. Regions differ in their development strategies, some placing greater emphasis on indigenous business development and others seeking to attract federal or foreign investment. Governors have considerable discretion in choosing their strategy so long as they meet basic performance demands set by the federal government such as ensuring good results for the United Russia party. In all four regions, governments consult actively with local business associations whereas organized labor is weak. However, the absence of effective institutions to enforce commitments undertaken by government and its social partners undermines regional capacity to use social policy as a basis for long-term economic development.
This is a textbook in data analysis. Its contents are heavily influenced by the idea that data analysis should help in enhancing and augmenting knowledge of the domain as represented by the concepts and statements of relation between them. According to this view, two main pathways for data analysis are summarization, for developing and augmenting concepts, and correlation, for enhancing and establishing relations. Visualization, in this context, is a way of presenting results in a cognitively comfortable way. The term summarization is understood quite broadly here to embrace not only simple summaries like totals and means, but also more complex summaries such as the principal components of a set of features or cluster structures in a set of entities.
The material presented in this perspective makes a unique mix of subjects from the fields of statistical data analysis, data mining, and computational intelligence, which follow different systems of presentation.
In this paper we study convergence among Russian regions. We find that while there was no convergence in 1990s, the situation changed dramatically in 2000s. While interregional GDP per capita gaps still persist, the differentials in incomes and wages decreased substantially. We show that fiscal redistribution did not play a major role in convergence. We therefore try to understand the phenomenon of recent convergence using panel data on the interregional reallocation of capital and labor. We find that capital market in Russian regions is integrated in a sense that local investment does not depend on local savings. We also show that economic growth and financial development has substantially decreased the barriers to labor mobility. We find that in 1990s many poor Russian regions were in a poverty trap: potential workers wanted to leave those regions but could not afford to finance the move. In 2000s (especially in late 2000s), these barriers were no longer binding. Overall economic development allowed even poorest Russian regions to grow out of the poverty traps. This resulted in convergence in Russian labor market; the interregional gaps in incomes, wages and unemployment rates are now below those in Europe. The results imply that economic growth and development of financial and real estate markets eventually result in interregional convergence.
A vast amount of documents in the Web have duplicates, which is a challenge for developing efficient methods that would compute clusters of similar documents. In this paper we use an approach based on computing (closed) sets of attributes having large support (large extent) as clusters of similar documents. The method is tested in a series of computer experiments on large public collections of web documents and compared to other established methods and software, such as biclustering, on same datasets. Practical efficiency of different algorithms for computing frequent closed sets of attributes is compared.
Subnational political units are growing in influence in national and international
affairs, drawing increasing scholarly attention to politics beyond national capitals.
In this book, leading Russian and Western political scientists contribute to
debates in comparative politics by examining Russia’s subnational politics.
Beginning with a chapter that reviews major debates in theory and method,
this book continues to examine Russia’s 83 regions, exploring a wide range of
topics including the nature and stability of authoritarian regimes, federal politics,
political parties, ethnic conflict, governance and inequality in a comparative perspective.
Providing both qualitative and quantitative data from 20 years of original
research, the book draws on elite interaction, public opinion and the role of
institutions regionally in the post-Soviet
years. The regions vary on a number of
theoretically interesting dimensions while their federal membership provides
control for other dimensions that are challenging for globally comparative
studies. The authors demonstrate the utility of subnational analyses and show
how regional questions can help answer a variety of political questions, providing
evidence from Russia that can be used by specialists on other large countries
or world regions in cross-national
Situated within broader theoretical and methodological political science
debates, this book will be of interest to students and scholars of Russian politics,
comparative politics, regionalism and subnational politics
In the publication we describe Russian regional markets of higher education. We consider the following indicators of the markets: size in terms of students per 10 000 of population; its institutional structure – number of public and private institutions, universities and their local branches; program diversity; level and dynamics of tuition fees during recent years; and levels of market concentration in higher education. For each key indicator we present geographical maps that characterize differentiation of the regional markets. We also analyze indicators of regional markets of higher education in conjunction with clusters of Russian regions outlined by Independent Institute on Social Policy (2006) on the basis of socio-economic indicators and derive meaningful conclusions on differentiation of key indicators of higher education markets. We show that in Russia the level of regional development corresponds to the level of concentration and diversification at regional higher education markets.
We consider certain spaces of functions on the circle, which naturally appear in harmonic analysis, and superposition operators on these spaces. We study the following question: which functions have the property that each their superposition with a homeomorphism of the circle belongs to a given space? We also study the multidimensional case.
We consider the spaces of functions on the m-dimensional torus, whose Fourier transform is p -summable. We obtain estimates for the norms of the exponential functions deformed by a C1 -smooth phase. The results generalize to the multidimensional case the one-dimensional results obtained by the author earlier in “Quantitative estimates in the Beurling—Helson theorem”, Sbornik: Mathematics, 201:12 (2010), 1811 – 1836.
We consider the spaces of function on the circle whose Fourier transform is p-summable. We obtain estimates for the norms of exponential functions deformed by a C1 -smooth phase.