In the internal medicine wide spectrum the gastroenterology is one of the chapters, less enlightened by the scientific evidence. It does not mean that the practice of the grasntroenterology may ot be improved by the systematic use of the approaches of the evidence based medicine
Economic nationalism advocates state intervention in the market to create favorable symmetry in economic interdependence with other powers. All major economies have ascended to greatness with state interventions, and economic liberalism becomes a mere covert economic nationalism by hegemons. Once in control over the levers of the global economy it is in the interest of the hegemon to propagate economic liberalism to integrate other powers into asymmetrical interdependent partnerships. The Trump administration's embrace of overt economic nationalism indicates the unravelling of the U.S. privileged geo-economic position. Relative decline is evident by a crumbling U.S. manufacturing base and narrowing superiority in innovations, the creation of alternative trade corridors outside U.S. control, and nascent rivals to the Bretton Wood institutions and the U.S. dollar. As geo-economic power shifts from the West to the East and invokes a global resurgence of economic nationalism, opportunities arise forRussia to develop more symmetry in the interdependent global economy.
This article examines the industrial wastes and environmental effects of Soviet technological development through the history of the Karelian Isthmus, a border territory that had previously been Finnish. Focusing primarily on the history of two large enterprises – the Svetogorskii (former Enso) and Sovetskii (former Johannes) pulp and paper making plants, the authors illustrate the polluting nature of the Soviet economy in the 1940s-1980s. We contend that from the very beginning, important as they were for the USSR, the enterprises of the Isthmus were built into a system of shortages of techniques and materials that contributed to the hectic fulfillment of the plan. Producing pulp and pulp-based products remained a priority during the whole Soviet period. On the level of industrial enterprises, the Soviet system revealed itself as incapable of solving the problem of pollution and wasting. After waste treatment facilities developed by Soviet engineers in the 1960s turned out to be inadequate for dealing with increasing pollution, the Soviet authorities called on Finnish companies to carry out substantial modernization of a few enterprises on the Isthmus. This helped the modernized plants remain functioning in the age of economic crisis at the end of the Soviet epoch. Old problems, however, such as shortages and lack of expertise, remained pivotal, while new sources of pollution, such as carbon emissions, appeared. As a result, the level of contamination was still high and led to negative environmental impacts.
The absolute majority of the countries participate in the process of the globalization. This multilateral process includes the unification of the economies of these countries into single institution. Russian companies and industry in particular have been successfully involved in globalization for several decades, but since 2014 rather severe sanctions have been imposed on the Russian economy. This research is aimed at determining the main factors and directions of globalization of Russian industrial enterprises in terms of sanctions.
The paper argues that when developing an explanatory model of the early-stage entrepreneurial activity level (measured by total index of early entrepreneurial activity - TEA) one should consider the ‘path dependency’ of the ‘institutional matrix’ of different societies. Otherwise one could wonder why some theoretical models of TEA determining factors, as provided by a lot of studies, are not statistically significant for younger market systems and entrepreneurship in transitional economies. However, comparing Global Entrepreneurship Monitor (GEM) data with the scope of official statistics provides a deeper insight into adults’ intrinsic incentives to become entrepreneurial. A statistical analysis of national TEA levels does not support the thesis that TEA levels, and structure, change under economic slowdown. Therefore, it seems logical to suggest that to interpret the TEA level it is important to examine some fundamental specific of different types of national markets rather than just the actual economic situation itself. When testing this hypothesis, the authors compared the characteristics of GEM countries with stable, high or low TEA levels. A Fisher’s linear discriminant analysis (FLDA) is used to examine whether different groups of countries can be distinguished by linear combinations of predictor variables and to determine which variables are responsible for this separation. The FLDA model explains the parabolic form of the relation between the level of economic development and TEA. A database of independent variables includes some different quantitative, ordinal and nominal variables determining the context of the national capital accumulation history. Using FLDA, we argue, one might foresee future tendencies of TEA - not only for GEM participating countries.
The Arctic region is one of the most sensitive and vulnerable to climate change. The dramatic melting of Arctic ice has several negative consequences for the whole ecosystem as well as for a way of life of native people but it also creates new opportunities for the region. First, it opens up potential for exploitation of large deposits of natural resources such oil and gas. Second, it shrinks Arctic shipping routes which offer significant economic savings for many countries. These benefits has already attracted many countries, both Arctic and non-Arctic, thus resulting in potential conflict of interests. In our paper we present a mathematical approach to the problem of conflict resolution in the Arctic. First, we propose an approach how the level of interest in each part of the region should be evaluated with respect to main resources - oil, gas, fish and maritime routes. Second, we present several models of areas allocation to resolve the problem of conflict resolution. As a result, we applied several scenarios of areas allocation, evaluated their efficiency based on the total satisfaction level and identified conflict zones in the Arctic.
This prototype development explains the challenges encountered during the ISO/IEEE 11073 standard implementation process. The complexity of the standard and the consequent heavy requirements, which have not encouraged software engineers to adopt the standard. The developing complexity evaluation drives us to propose two possible implementation strategies that cover almost all possible use cases and eases handling the standard by non-expert users. The first one is focused on medical devices (MD) and proposes a low-memory and low-processor usage technique. It is based on message patterns that allow simple functions to generate ISO/IEEE 11073 messages and to process them easily. MD act as X73 agent. Second one is focused on more powerful device X73 manager, which do not have the MDs' memory and processor usage constraints. The protocol between Agent and Manager is point-to-point and we can distribute the functionality between devices.
Developed both implementation X73 Agent and Manager will cut developing time for applications based on ISO/EEE 11073.
We address the external effects on public sector efficiency measures acquired using Data Envelopment Analysis. We use the health care system in Russian regions in 2011 to evaluate modern approaches to accounting for external effects. We propose a promising method of correcting DEA efficiency measures. Despite the multiple advantages DEA offers, the usage of this approach carries with it a number of methodological difficulties. Accounting for multiple factors of efficiency calls for more complex methods, among which the most promising are DMU clustering and calculating local production possibility frontiers. Using regression models for estimate correction requires further study due to possible systematic errors during estimation. A mixture of data correction and DMU clustering together with multi-stage DEA seems most promising at the moment. Analyzing several stages of transforming society’s resources into social welfare will allow for picking out the weak points in a state agency’s work.