Search results for ""Author Daqing Zhang""

Nobel laureate Tu Youyou won the 2015 prize for Medicine/Physiology for the discovery of artemisinin, a drug therapy for malaria that has saved millions across the globe.This book traces the path of discovery beginning with Chairman Mao's 1964 instruction to Chinese researchers to find a cure for malaria, a disease that plagued the military and civilians alike in endemic regions. It chronicles the years of painstaking research to find effective anti-malarial drugs, and how an entry in a collection of traditional Chinese medicine prescriptions gave Tu Youyou the clue which led her to successfully extract artemisinin from the plant, Artemisia annua.Gathering together information from a variety of sources including first-hand accounts, this book describes the contributions of the many organisations, scientists, doctors and countless others who played a part in the process of discovery and clinical testing. It also provides insights into the challenges of carrying out such an extensive research project with limited resources during the upheavals of the Cultural Revolution. An inspirational read for young scientists.Includes the translation of Professor Tu Youyou's 2015 Nobel Lecture.

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With the proliferation of GPS devices in daily life, trajectory data that records where and when people move is now readily available on a large scale. As one of the most typical representatives, it has now become widely recognized that taxi trajectory data provides rich opportunities to enable promising smart urban services. Yet, a considerable gap still exists between the raw data available, and the extraction of actionable intelligence. This gap poses fundamental challenges on how we can achieve such intelligence. These challenges include inaccuracy issues, large data volumes to process, and sparse GPS data, to name but a few. Moreover, the movements of taxis and the leaving trajectory data are the result of a complex interplay between several parties, including drivers, passengers, travellers, urban planners, etc. In this book, we present our latest findings on mining taxi GPS trajectory data to enable a number of smart urban services, and to bring us one step closer to the vision of smart mobility. Firstly, we focus on some fundamental issues in trajectory data mining and analytics, including data map-matching, data compression, and data protection. Secondly, driven by the real needs and the most common concerns of each party involved, we formulate each problem mathematically and propose novel data mining or machine learning methods to solve it. Extensive evaluations with real-world datasets are also provided, to demonstrate the effectiveness and efficiency of using trajectory data. Unlike other books, which deal with people and goods transportation separately, this book also extends smart urban services to goods transportation by introducing the idea of crowdshipping, i.e., recruiting taxis to make package deliveries on the basis of real-time information. Since people and goods are two essential components of smart cities, we feel this extension is bot logical and essential. Lastly, we discuss the most important scientific problems and open issues in mining GPS trajectory data.

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