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Based on new phenomena appearing in many emerging economies, this book presents a theoretical study on the economic influences of labor transfer from several aspects. In recent years, thanks to the continuous progress of social forms as well as science and technology, there are a large number of new developing trends in emerging nations. Taking China as an example, several economic issues have sprung up with the huge scale of labor transfer, such as development of modern agriculture, environmental protection, privatization of mixed enterprises, training of human capital, and migrant workers'remittances to their hometowns. However, the existing researches on labor transfer pay little attention to them. In order to bridge the gap, this book combines new economic data with basic theories of labor migration, and discusses economic influences of labor transfer in four angles: human capital, migrants'remittances, environmental protection, and development of modern agriculture. Each part is composed of two or three analytical elements. Our conclusions not only enrich existing theoretical researches, but also provide theoretical support for related national economic policies.

This is the first English book that presents a professional analysis of the recent dynamic movement of the Chinese economy by focusing on the Yangtze River Delta region, which is the main engine of the Chinese economy. The impact of the international financial crisis on China's economic development requires a change from the first wave of economic globalization oriented toward exports to the second wave of economic globalization characterized by expanding domestic demand. Taking this economic aspect into consideration, the following are proposed in this book: 1) expansion of the level of openness in the process of increasing domestic demand means shifting the industrial focus from manufacturing to the service industry; 2) promotion of the globalization of local services should be based on the globalization of local manufacturing; 3) the Yangtze River Delta region should aim at its own strategic positioning under new, changed circumstances and should achieve modernization in advance with the concept of integrative development; 4) Establishment of a support system is essential meanwhile for this area to develop an innovative economy and to promote the transition from manufacturing to promoting emerging industries, including a modern service industry. The book has an underlying concept, namely, that the key to economic transformation is to start the development of modern services and that only by transforming the development pattern of the service industry can the transition and upgrade of the economy be effectively achieved. For this purpose further urbanization and advancing the transformation from low-tech to high-tech industries by the effective development of industrial clusters is advocated. To ensure that these conclusions are based on a solid analysis, the authors draw heavily upon empirical analyses employing modern econometric methods and make use of economic theories such as endogenous growth theory and spatial economic theory.

The book provides a guide to rock engineers and engineering geologists as to how to perform laboratory tests and how to use the existing data for solving practical rock engineering design and operating problems. Knowledge of the behavior of rocks under general triaxial compression is also of crucial importance in the fields of structural geology and tectonophysics as the effect of the intermediate and the minimum principal stresses may be a decisive factor in the mode of deformation and processes of gross-fracturing, faulting and earthquakes.

Let $v$ be a smooth vector field on the plane, that is a map from the plane to the unit circle. The authors study sufficient conditions for the boundedness of the Hilbert transform \mathrm{H}_{v, \epsilon }f(x) := \text{p.v.}\int_{-\epsilon}^{\epsilon} f(x-yv(x))\;\frac{dy}y where $\epsilon$ is a suitably chosen parameter, determined by the smoothness properties of the vector field.

Multivariate analysis is a mainstay of statistical tools in the analysis of biomedical data. It concerns with associating data matrices of n rows by p columns, with rows representing samples (or patients) and columns attributes of samples, to some response variables, e.g., patients outcome. Classically, the sample size n is much larger than p, the number of variables. The properties of statistical models have been mostly discussed under the assumption of fixed p and infinite n. The advance of biological sciences and technologies has revolutionized the process of investigations of cancer. The biomedical data collection has become more automatic and more extensive. We are in the era of p as a large fraction of n, and even much larger than n. Take proteomics as an example. Although proteomic techniques have been researched and developed for many decades to identify proteins or peptides uniquely associated with a given disease state, until recently this has been mostly a laborious process, carried out one protein at a time. The advent of high throughput proteome-wide technologies such as liquid chromatography-tandem mass spectroscopy make it possible to generate proteomic signatures that facilitate rapid development of new strategies for proteomics-based detection of disease. This poses new challenges and calls for scalable solutions to the analysis of such high dimensional data. In this volume, we will present the systematic and analytical approaches and strategies from both biostatistics and bioinformatics to the analysis of correlated and high-dimensional data.