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In this paper I consider the issue of identifying the effects of spatial structure and the origin and destination attributes on interregional migration. A decomposition approach is developed based on migration models. The interprovincial migration data in China over the period 1985–1990 are used to estimate a gravity migration model, an extended gravity model, a Poisson gravity model, and a multilevel Poisson model, which are then used to decompose the various effects on migration in China.

In this paper a set of more-detailed multiregional population accounts is proposed to specify more realistically the exposure time of populations at risk for various components of population change. The concepts of population-time at risk and forward demographic rates based on the initial population are discussed. The relations of the forward demographic rates defined in this paper with the occurrence-exposure demographic rates are discussed. A more precise and straightforward multiregional population model is developed on the basis of forward demographic rates. The model is also expressed in the familiar matrix form of multiregional, cohort-survival models.

This is the second of two papers in which the urban-rural population dynamics of China is analyzed. Urban-rural population life tables are constructed in this paper. The differential urban and rural population dynamics are revealed by the calculations of life expectations, net reproduction expectations, and net migraproduction expectations in the urban and rural regions of China.

The multiregional demography approach is used in an analysis of the urban—rural population dynamics of China. Multiregional population-accounts and methods of estimation of demographic rates are developed on the basis of the multiregional population-accounts concept. An accounts-based urban—rural population projection model is established and used to project the population of China from 1988 to 2087.

Drawing attention to the governing role of capital accumulation and its interaction with the state, this study examines the dynamics of the new wave of suburbanization in China, which is characterized by the development of new towns. New towns essentially function as a spatial fix in China's contemporary accumulation regime. Rather than resulting from capital switching from the primary to the secondary circuits, new towns help to collect funds for the leverage of industrial capital and thus simultaneously sustain both circuits. Meanwhile, the development of new towns is also a process of territorial development, in which municipal governments expand the space of accumulation under strengthened fiscal and land controls and develop a metropolitan structure. Underlying the specific form and dynamics, however, is the worldwide trend of capital switching from declining manufacturing industries in developed countries to the new investment frontier in developing countries.

The article of record as published may be located at http://www.combinatorics.org/ojs/index.php/eljc/article/view/v15i1n3 ; The Electronic Journal of Combinatorics 15(1) (2008), #N3 ; The Friendship Theorem states that if any two people in a party have exactly one common friend, then there exists a politician who is a friend of everybody. In this paper, we generalize the Friendship Theorem. Let A be any nonnegative integer and p be any positive integer. Suppose each pair of friends have exactly A common friends and each pair of strangers have exactly p common friends in a party. The corresponding graph is a generalization of strongly regular graphs obtained by relaxing the regularity property on vertex degrees. We prove that either everyone has exactly the same number of friends or there exists a politician who is a friend of everybody. As an immediate consequence, this implies a recent conjecture by Limaye et al.

The population of China is still growing despite a dramatic decline in fertility in the past two decades. There are marked urban—rural differentials in fertility and, as a result, the pace of urbanization has significant effects on population growth. In this research an attempt is made to model urban—rural population growth in China. A demoeconomic model of urban and rural sectors is calibrated to account for the long-term trend of urbanization in China. Two important components of urban population growth—rural to urban migration and transition—are considered. In previous research, rural to urban population transition was ignored and thus urbanization levels may be significantly underprojected. An accounts-based urban—rural population model, in which rural to urban migration and transition are driven by the foregoing demoeconomic model, is established in this research. These models are used to make urban—rural population projections for the period 1988–2087 under various fertility rate assumptions.

An accounts-based population model for making population projections for the urban and rural areas of China was developed and reported on in detail in an earlier paper. In this paper the implications of the broad trends in population and labour-force growth over the next fifty years for the employment position in China will be discussed. Unemployment and underemployment are problems facing China today. Ongoing economic reform in the employment system runs the risk of rapidly increasing the number of unemployed, especially in urban China. In this paper, the following main dimensions of the employment problem in China will be discussed: Labour-resource utilization and employment structure, the dual employment system between urban and rural areas, unemployment and underemployment, employment-system reform, and labour-force quality and training.

© 2018 IEEE. Cloud computing architecture and infrastructure has received an acceptance from corporations and governments across the globe. Cloud computing helped to reduce cost of management of physical and technical infrastructure at the same time has made information systems available for locally globally deployed work force. Cloud computing infrastructure provides access to data and applications from any location and this has made organizations to keep evaluating privacy and security framework. Banking and financial services have data and applications which are internally developed to remain ahead of competition. This data and applications becomes the Intellectual Property (IP) that serves specific business processes and goals. When this data and applications can be accessed from remote locations, there may be a potential risks of data leakages and erosion of IP over a period of time. With an adoption of cloud computing, banking and financial services industry continues to be under strict regulatory and compliance framework to maintain privacy of data and security of systems. Privacy and security of cloud architecture infrastructure continues to be the challenge across the globe. In this paper, various aspects of cloud computing related to data privacy and system security for banking and financial services industry have been introduced.

Ying-jeou, M.: "US-Taiwan relations in a new era". - S. 5-12