Wei Yen explores how differences in world views between Eastern and Western thought and culture have on management and leadership behaviors. In The Geography of Thought Richard Nisbett showed how the thought and culture of the East is rooted in Chinese Confucian ideals while that of the West goes back to the early Greeks. In From Great Wall to Wall Street, Wei Yen explores how these differences impact today's leadership and management practices. He delves deeply into the two cultures and their philosophical roots, and explains why there can exist significant misunderstandings between the two camps. Yen was born in China, raised in Hong Kong, educated both there and in the US and then spent half his working life in the US and half in Asia. From his vantage point, straddling both cultures he compares and contrasts the pragmatic, wholistic Chinese (or Asian) management style with the rational and analytical Western management style. He shows their pros and cons, the areas where they differ and situations where one may be more successful than the other. Yen argues that understanding traditional Chinese culture, and how it affects management behaviors and current events, can help decision makers make better decisions in business, finance and politics. He further combines culture with credit analysis to argue that it is unlikely that China will suffer a financial collapse despite a slowing economy and high debt levels. Equally, he shows how that same philosophical traditions also lie behind China's inability to innovate or project the "soft power" that the West's globally successful popular culture has achieved. How can the West take advantage of China's epic rise to strike win-win outcomes? How can the Chinese be more integrated into the global community and become a better global citizen in the future? How can policy makers make more realistic policies? None of these can be accomplished without first understanding where each other is coming from.

1. In this book, a novel brain-computer interface (BCI) system is proposed to analyze motor imagery (MI) electroencephalogram (EEG) signals. 2. After eliminating EOG artifacts automatically and extracting features by wavelet-based phase synchronization approach, support vector machine (SVM) is adopted for the classification of single-trial left and right MI data. 3. The EOG artifacts are automatically removed by means of modified independent component analysis (ICA). 4. The features are extracted from wavelet data by phase synchronization, and then classified by the SVM. 5. Compared with the results without EOG artifact removal, spectral band and AR model features, the proposed system achieves satisfactory results in BCI applications.

Against the backdrop of significant developments in regional economic cooperation and integration over the past decade, this book presents some of the key challenges facing ASEAN as it embarks on a bold and ambitious project to establish an ASEAN Economic Community by 2015. Organized under the auspices of the ASEAN-Australia Development Cooperation Programs Regional Economic Policy Support Facility (AADCP-REPSF), the book brings together authoritative studies written by prominent experts and academics on issues pertaining to ASEAN economic integration.A CD-ROM containing the AADCP-REPSF Phase I Research Program comes free with the purchase of the printed copy of this book.