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This book provides a detailed review of the accumulated experience and lessons from China s agricultural reform and opening-up since the late 1970s, examining various aspects of this transition and providing a new perspective that can contribute to developing economic theories. The success of China s reform and opening up creates benefits for farmers, and is driven by farmers. The past experience, problems revealed and lessons learned from failures of market-orientated and progressive reform can provide valuable guidance for those developing countries still lagging behind China.

This book investigates the historical evolution, regional differences, and quantitative measurement on street interface, which forms the street space and plays a very important role in urban form. Empirical research reveals the street interface in Chinese cities are much more complicated than European and American cities. This book explores the reason and reveals the relationship between street interface and urban form in morphology. By constructing quantitative measurement method on street interface morphology, quantitative parameters can be used in urban planning guidelines in China....

Beginning soon after the implementation of the policies of the Great Leap Forward of 1958-1961, when the drive to collectivize and industrialize undermined the livelihoods of the vast majority of peasant workers, China's Great Famine was the worst famine in human history. In addition to claiming more than 45 million lives, it also led to the destruction of agriculture, industry, trade, and every aspect of human life, leaving large parts of the Chinese countryside scarred forever by human-created environmental disasters.

Drawing on previously closed archives that have since been made...

This book presents a comprehensive collection of essential and up-to-date methods for studying both the biology of microtubules and the mechanisms of action of microtubule-interacting drugs. The book contains a straightforward presentation of readily reproducible protocols, tips for troubleshooting, and advice on avoiding common mistakes. Basic scientists and clinical researchers will benefit from this collection.

Machine Learning, a vital and core area of artificial intelligence (AI), is propelling the AI field ever further and making it one of the most compelling areas of computer science research. This textbook offers a comprehensive and unbiased introduction to almost all aspects of machine learning, from the fundamentals to advanced topics. It consists of 16 chapters divided into three parts: Part 1 (Chapters 1-3) introduces the fundamentals of machine learning, including terminology, basic principles, evaluation, and linear models; Part 2 (Chapters 4-10) presents classic and commonly used...