Xiaohui Liu – författare

In the thirty years since China initiated economic reforms and its open-door policy, China has been transformed from a poor nation almost completely isolated from the global economy to an engine of growth of the world economy. China’s dynamic transition has been among the most dramatic developments of recent history; and its economy continues to grow rapidly, with important consequences for China’s own society and environment, as well as for the wider world. This book provides a fascinating insight into a wide range of issues on Chinese economy and its three decades of economic reforms. With well-researched, in-depth and comprehensive coverage of key topics, using the latest research findings, this book covers Chinese monetary policy and financial sector reforms; China’s income disparities; the emergence of China’s business groups; the implications of foreign direct investment and innovation and technological developments. The book will be an indispensable guide to scholars, entrepreneurs, policy-makers and all who are interested in China’s economic affairs.

To harness the high-throughput potential of DNA microarray technology, it is crucial that the analysis stages of the process are decoupled from the requirements of operator assistance. Microarray Image Analysis: An Algorithmic Approach presents an automatic system for microarray image processing to make this decoupling a reality. The proposed system integrates and extends traditional analytical-based methods and custom-designed novel algorithms.The book first explores a new technique that takes advantage of a multiview approach to image analysis and addresses the challenges of applying powerful traditional techniques, such as clustering, to full-scale microarray experiments. It then presents an effective feature identification approach, an innovative technique that renders highly detailed surface models, a new approach to subgrid detection, a novel technique for the background removal process, and a useful technique for removing "noise." The authors also develop an expectation–maximization (EM) algorithm for modeling gene regulatory networks from gene expression time series data. The final chapter describes the overall benefits of these techniques in the biological and computer sciences and reviews future research topics.This book systematically brings together the fields of image processing, data analysis, and molecular biology to advance the state of the art in this important area. Although the text focuses on improving the processes involved in the analysis of microarray image data, the methods discussed can be applied to a broad range of medical and computer vision analysis areas.

In the thirty years since China initiated economic reforms and its open-door policy, China has been transformed from a poor nation almost completely isolated from the global economy to an engine of growth of the world economy. China’s dynamic transition has been among the most dramatic developments of recent history; and its economy continues to grow rapidly, with important consequences for China’s own society and environment, as well as for the wider world. This book provides a fascinating insight into a wide range of issues on Chinese economy and its three decades of economic reforms. With well-researched, in-depth and comprehensive coverage of key topics, using the latest research findings, this book covers Chinese monetary policy and financial sector reforms; China’s income disparities; the emergence of China’s business groups; the implications of foreign direct investment and innovation and technological developments. The book will be an indispensable guide to scholars, entrepreneurs, policy-makers and all who are interested in China’s economic affairs.

To harness the high-throughput potential of DNA microarray technology, it is crucial that the analysis stages of the process are decoupled from the requirements of operator assistance. Microarray Image Analysis: An Algorithmic Approach presents an automatic system for microarray image processing to make this decoupling a reality. The proposed system integrates and extends traditional analytical-based methods and custom-designed novel algorithms.The book first explores a new technique that takes advantage of a multiview approach to image analysis and addresses the challenges of applying powerful traditional techniques, such as clustering, to full-scale microarray experiments. It then presents an effective feature identification approach, an innovative technique that renders highly detailed surface models, a new approach to subgrid detection, a novel technique for the background removal process, and a useful technique for removing "noise." The authors also develop an expectation–maximization (EM) algorithm for modeling gene regulatory networks from gene expression time series data. The final chapter describes the overall benefits of these techniques in the biological and computer sciences and reviews future research topics.This book systematically brings together the fields of image processing, data analysis, and molecular biology to advance the state of the art in this important area. Although the text focuses on improving the processes involved in the analysis of microarray image data, the methods discussed can be applied to a broad range of medical and computer vision analysis areas.

This book constitutes the refereed proceedings of the Second International Symposium on Intelligent Data Analysis, IDA-97, held in London, UK, in August 1997.The volume presents 50 revised full papers selected from a total of 107 submissions. Also included is a keynote, Intelligent Data Analysis: Issues and Opportunities, by David J. Hand. The papers are organized in sections on exploratory data analysis, preprocessing and tools; classification and feature selection; medical applications; soft computing; knowledge discovery and data mining; estimation and clustering; data quality; qualitative models.

This book explores the transformation of Chinese food in the U.S. after 1965 from a cultural perspective. The author asks how Chinese food reflects the racial relation between the Chinese community and the mainstream white society and investigates the symbolic meanings as well as the cultural functions of Chinese food in America. She argues that food is not only a symbol that mirrors social relations, but also an agent which causes social and cultural change. A particular geographic focus of this book is California.

This book constitutes the refereed proceedings of the First International Conference on Health Information Science, held in Beijing, China, in April 2012. The 15 full papers presented together with 1 invited paper and 3 industry/panel statements in this volume were carefully reviewed and selected from 38 submissions. The papers cover all aspects of the health information sciences and the systems that support this health information management and health service delivery. The scope includes 1) medical/health/biomedicine information resources, such as patient medical records, devices and equipments, software and tools to capture, store, retrieve, process, analyze, optimize the use of information in the health domain, 2) data management, data mining, and knowledge discovery (in health domain), all of which play a key role in decision making, management of public health, examination of standards, privacy and security issues, and 3) development of new architectures and applications for health information systems.