Неопределенность и риски инвестиционных проектов
The Asia-Pacific region is of growing importance for both the United States and Russia, each of which seeks to “pivot” or “rebalance” its global commitments toward Asia. Yet the focus of U.S.-Russia relations remains on Europe and the former Soviet Union, and neither country has paid sufficient attention to the implications of their respective Asian pivots for the bilateral relationship. Since U.S.-Russia relations in Asia and the Pacific remain underdeveloped, the region holds the potential to act as a sort of laboratory for trying out new mechanisms for bilateral and multilateral cooperation.
Both countries are turning to Asia primarily to benefit from Asia’s economic dynamism. At the same time, they recognize that Asia’s growth is imperiled by a range of traditional and nontraditional security threats, from the nuclear-tipped standoff on the Korean Peninsula to territorial disputes in the East China Sea and South China Sea to terrorism, climate change, migration, and other transnational challenges. Among the most important drivers of change in Asia is the continued rise of China, which is in different ways a critical partner for both Washington and Moscow.
Because Asia’s economic and security landscape remains in flux and the legacies of mistrust hanging over U.S.-Russia relations in Europe are less pronounced, Moscow and Washington have an opportunity to build more effective forms of cooperation from the ground up. This will require efforts from both sides. The United States must reconcile cooperation with Russia with its existing commitments, including long-standing alliance relationships and growing security cooperation with several states in the region. Russia’s challenge lies mainly in convincing states and regional institutions that it is an important player in the region—which in turn requires it to more fully integrate Siberia and the Russian Far East into Asia’s regional economy—and more than a regional satellite of China.
Supply chain management is rather new scientific field that reflects the concept of integrated business planning. This concept should be experts and practitioners in logistics and strategic management. Today, integrated planning to become a reality thanks to the development of information technology and computer technology. At the same time to achieve a competitive advantage is not enough high-speed, low-cost data transfer process. In order to effectively apply information technology tools necessary to develop a quantitative analysis of the effectiveness of supply chain management. The mam element of this tool are optimization models that reveal the complex interactions, the wave and the synergies that arise in supply chain management. In this article we consider one of the classes of such models - the so-called dynamic models of conveyor systems, processing of applications.
The world is changing rapidly. The novelty, variability, uncertainty of the future – have become the norm of life. Internal motivation, initiative, self-regulation become important vital qualities. The development of not only cognition, but also meta-knowledge becomes the norm of educational practice. It is important that education in this situation develops subjectivity and the ability to preadaptation. At the same time, it is important that the practice of education develops on the basis of psychological research. A review of existing studies is given and planned experimental studies in this direction are described.
Uncertainty is a concept associated with data acquisition and analysis, usually appearing in the form of noise or measure error, often due to some technological constraint. In supervised learning, uncertainty affects classification accuracy and yields low quality solutions. For this reason, it is essential to develop machine learning algorithms able to handle efficiently data with imprecision. In this paper we study this problem from a robust optimization perspective. We consider a supervised learning algorithm based on generalized eigenvalues and we provide a robust counterpart formulation and solution in case of ellipsoidal uncertainty sets. We demonstrate the performance of the proposed robust scheme on artificial and benchmark datasets from University of California Irvine (UCI) machine learning repository and we compare results against a robust implementation of Support Vector Machines.
The report is devoted to comprehensive research in the field of strategic planning, logistics infrastructure in to ensure the implementation of export-import and transit potential of Russia in the global system of international transport corridors (ITC). Particularly attention spares to the place and the role of the Russian Transportations Ministry and the Russian Rail-way joint stock company in the investment projects realization, also to the problems of the logistics infrastructure development in sea ports and multimodal transport junctions for example North-East and Moscow regions.
Into the Red explores the emergence of a credit card market in post-Soviet Russia during the formative period from 1988 to 2007. In her analysis, Alya Guseva locates the dynamics of market building in the social structure, specifically the creative use of social networks. Until now, network scholars have overlooked the role that networks play in facilitating exchange in mass markets because they have exclusively focused on firm-to-firm or person-to-person ties. Into the Reddemonstrates how networks that combine individuals and organizations help to build markets for mass consumption. The book is situated on the cutting edge of emerging interdisciplinary research, linking multiple layers of analysis with institutional evolution. Using an intricate framework, Guseva chronicles both the creation of a credit card market and the making of a mass consumer. These processes are placed in the context of the ongoing restructuring in postcommunist Russia and the expansion of Western markets and ideologies through the rest of the world.