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Ancient Sichuan and the Unification of China
Recent archaeological finds in China have made possible a reconstruction of the ancient history of Sichauan, the country's most populous province. Excavated artifacts and newly recovered texts can now supplement traditional textual materials. Combing these materials, Sage shows how Sichauan matured from peripheral obscurity to attain central importance in the formation of the Chinese empire during the first millennium B.C.
Heterogeneous Information Network Analysis and Applications
This book offers researchers an understanding of the fundamental issues and a good starting point to work on this rapidly expanding field. It provides a comprehensive survey of current developments of heterogeneous information network. It also presents the newest research in applications of heterogeneous information networks to similarity search, ranking, clustering, recommendation. This information will help researchers to understand how to analyze networked data with heterogeneous information networks. Common data mining tasks are explored, including similarity search, ranking, and recommendation. The book illustrates some prototypes which analyze networked data. Professionals and academics working in data analytics, networks, machine learning, and data mining will find this content valuable. It is also suitable for advanced-level students in computer science who are interested in networking or pattern recognition.
On Their Own Terms
In On Their Own Terms, Benjamin A. Elman offers a much-needed synthesis of early Chinese science during the Jesuit period (1600-1800) and the modern sciences as they evolved in China under Protestant influence (1840s-1900). By 1600 Europe was ahead of Asia in producing basic machines, such as clocks, levers, and pulleys, that would be necessary for the mechanization of agriculture and industry. In the seventeenth and eighteenth centuries, Elman shows, Europeans still sought from the Chinese their secrets of producing silk, fine textiles, and porcelain, as well as large-scale tea cultivation. Chinese literati borrowed in turn new algebraic notations of Hindu-Arabic origin, Tychonic cosmology, Euclidian geometry, and various computational advances. Since the middle of the nineteenth century, imperial reformers, early Republicans, Guomindang party cadres, and Chinese Communists have all prioritized science and technology. In this book, Elman gives a nuanced account of the ways in which native Chinese science evolved over four centuries, under the influence of both Jesuit and Protestant missionaries. In the end, he argues, the Chinese produced modern science on their own terms.
Out of Nihility
Since the birth of the Yinyang Continent, the two races of Yin and Yang had been born and bred. The Yang Race possessed the attribute of 'goodness', and possessed all sorts of superpowers to defend their 'goodness'. The attribute of the Yin Clan was' evil '. Demons, demons, ghosts, and other creatures belonged to it. They wanted to enslave the Yang Clan and control the entire continent. A youth who had comprehended 'creating from nothing' from the 'Classic of Virtue' was not tolerated by the current Heavenly Dao and had his body destroyed. His soul, by chance and coincidence, was taken in by the Yinyang Continent and reborn into the body of an ordinary Yang Clan youth. None: "The Yang race is good, forsaken by the Evil God; the Yin race is evil, born of the Good God. Tell me what is evil and what is good? " Close]
Html5 Mobile Development Cookbook
The book is written in a cookbook style, presenting examples in the style of recipes, allowing you to go directly to your topic of interest, or follow topics throughout a chapter to gain in-depth knowledge. Developers keen to create HTML5 mobile websites that are fast and responsive across a whole range of mobile devices.
Systems of Classification in Premodern Medical Cultures
Systems of Classification in Premodern Medical Cultures puts historical disease concepts in cross-cultural perspective, investigating perceptions, constructions and experiences of health and illness from antiquity to the seventeenth century. Focusing on the systematisation and classification of illness in its multiple forms, manifestations and causes, this volume examines case studies ranging from popular concepts of illness through to specialist discourses on it. Using philological, historical and anthropological approaches, the contributions cover perspectives across time from East Asian, Middle Eastern and Mediterranean cultures, spanning ancient Egypt, Mesopotamia, Greece and Rome to Tibet and China. They aim to capture the multiplicity of disease concepts and medical traditions within specific societies, and to investigate the historical dynamics of stability and change linked to such concepts. Providing useful material for comparative research, the volume is a key resource for researchers studying the cultural conceptualisation of illness, including anthropologists, historians and classicists, among others.
Graph Neural Networks: Foundations, Frontiers, and Applications
Deep Learning models are at the core of artificial intelligence research today. It is well known that deep learning techniques are disruptive for Euclidean data, such as images or sequence data, and not immediately applicable to graph-structured data such as text. This gap has driven a wave of research for deep learning on graphs, including graph representation learning, graph generation, and graph classification. The new neural network architectures on graph-structured data (graph neural networks, GNNs in short) have performed remarkably on these tasks, demonstrated by applications in social networks, bioinformatics, and medical informatics. Despite these successes, GNNs still face many cha...
