After toppling the Ming dynasty, the Qing conquerors forced Han Chinese males to adopt Manchu hairstyle and clothing. Yet China’s new rulers tolerated the use of traditional Chinese attire in performances, making theater one of the only areas of life where Han garments could still be seen and where Manchu rule could be contested. Staging Personhood uncovers a hidden history of the Ming–Qing transition by exploring what it meant for the clothing of a deposed dynasty to survive onstage. Reading dramatic works against Qing sartorial regulations, Guojun Wang offers an interdisciplinary lens on the entanglements between Chinese drama and nascent Manchu rule in seventeenth-century China. He reveals not just how political and ethnic conflicts shaped theatrical costuming but also the ways costuming enabled different modes of identity negotiation during the dynastic transition. In case studies of theatrical texts and performances, Wang considers clothing and costumes as indices of changing ethnic and gender identities. He contends that theatrical costuming provided a productive way to reconnect bodies, clothes, and identities disrupted by political turmoil. Through careful attention to a variety of canonical and lesser-known plays, visual and performance records, and historical documents, Staging Personhood provides a pathbreaking perspective on the cultural dynamics of early Qing China.
This book provides a comprehensive introduction to the analysis of functionally graded materials and structures. Functionally graded materials (FGMs), in which the volume fractions of two or more constituent materials are designed to vary continuously as a function of position along certain direction(s), have been developed and studied over the past three decades. The major advantage of FGMs is that no distinct internal boundaries exist, and failures from interfacial stress concentrations developed in conventional components can be avoided. The gradual change of material properties can be tailored to different applications and working environments. As these materials’ range of application expands, new methodologies have to be developed to characterize them, and to design and analyze structural components made of them. Despite a number of existing papers on the analysis of functionally graded materials and structures, there is no single book that is devoted entirely to the analysis of functionally graded beams, plates and shells using different methods, e.g.,analytical or semi-analytical methods. Filling this gap in the literature, the book offers a valuable reference resource for senior undergraduates, graduate students, researchers, and engineers in this field. The results presented here can be used as a benchmark for checking the validity and accuracy of other numerical solutions. They can also be used directly in the design of functionally graded materials and structures.
This book explores the paradox of the hospitality industry: customers demand not only personal and innovative tourism products and services, but also cost-effective ones. Enterprises have the option to meet the former demand by offering authentic products and services while the latter could be achieved through standardization. Although it seems ideal to combine both concepts, they seemingly contradict each other leading to suppliers facing an authenticity-standardization paradox. The authors identify, analyze, and provide solutions for this authenticity-standardization paradox based on a series of case studies of restaurants in China. This book will be of interest to scholars, business owners, and consultants.
This is volume 1 of two-volume book that presents an excellent, comprehensive exposition of the multi-faceted subjects of modern condensed matter physics, unified within an original and coherent conceptual framework. Traditional subjects such as band theory and lattice dynamics are tightly organized in this framework, while many new developments emerge spontaneously from it. In this volume,• Basic concepts are emphasized; usually they are intuitively introduced, then more precisely formulated, and compared with correlated concepts.• A plethora of new topics, such as quasicrystals, photonic crystals, GMR, TMR, CMR, high Tc superconductors, Bose-Einstein condensation, etc., are presented with sharp physical insights.• Bond and band approaches are discussed in parallel, breaking the barrier between physics and chemistry.• A highly accessible chapter is included on correlated electronic states — rarely found in an introductory text.• Introductory chapters on tunneling, mesoscopic phenomena, and quantum-confined nanostructures constitute a sound foundation for nanoscience and nanotechnology.• The text is profusely illustrated with about 500 figures.
This book addresses several knowledge discovery problems on multi-sourced data where the theories, techniques, and methods in data cleaning, data mining, and natural language processing are synthetically used. This book mainly focuses on three data models: the multi-sourced isomorphic data, the multi-sourced heterogeneous data, and the text data. On the basis of three data models, this book studies the knowledge discovery problems including truth discovery and fact discovery on multi-sourced data from four important properties: relevance, inconsistency, sparseness, and heterogeneity, which is useful for specialists as well as graduate students. Data, even describing the same object or event, can come from a variety of sources such as crowd workers and social media users. However, noisy pieces of data or information are unavoidable. Facing the daunting scale of data, it is unrealistic to expect humans to “label” or tell which data source is more reliable. Hence, it is crucial to identify trustworthy information from multiple noisy information sources, referring to the task of knowledge discovery. At present, the knowledge discovery research for multi-sourced data mainly faces two challenges. On the structural level, it is essential to consider the different characteristics of data composition and application scenarios and define the knowledge discovery problem on different occasions. On the algorithm level, the knowledge discovery task needs to consider different levels of information conflicts and design efficient algorithms to mine more valuable information using multiple clues. Existing knowledge discovery methods have defects on both the structural level and the algorithm level, making the knowledge discovery problem far from totally solved.
Data clustering, also known as cluster analysis, is an unsupervised process that divides a set of objects into homogeneous groups. Since the publication of the first edition of this monograph in 2007, development in the area has exploded, especially in clustering algorithms for big data and open-source software for cluster analysis. This second edition reflects these new developments, covers the basics of data clustering, includes a list of popular clustering algorithms, and provides program code that helps users implement clustering algorithms. Data Clustering: Theory, Algorithms and Applications, Second Edition will be of interest to researchers, practitioners, and data scientists as well as undergraduate and graduate students.
The industrialization of information resources has been a growing trend across the world in recent years, especially in China, where the information resource industry (IRI) has expanded exponentially for over more than a decade. While analysing the development conditions of China's IRI, this book clearly defines the implications and strategic value of the industry, summarizes basic IRI theories, and clarifies the history of its development and special regional characteristics within the Chinese context. Drawing on the statistics and measurement of various economic indicators of IRI, the authors propose four stages of development: a germination period; an initial development period; a subsequent rapid development period; and lastly, a steady development period. At the same time, the book draws upon various theoretical models such as the “Dynamic Resource Triangle” model, the “Information Resource Industrial Symbiosis” model, the value chain model and the explanation model of information consumption in order to shed light on IRI's elements and the optimization of its management. In addition, the authors present the Information Resource Industry Development Index (IRIDI) to evaluate IRI’s development in different provinces and cities across Mainland China and monitor its dynamics from the point of view of industrial value and the external environment. While the book lays a solid theoretical foundation for the growth of China’s IRI, it will also give international readers a clear picture of China's emerging industries in the current era. As an emerging strategic industry in China, the information resource industry (IRI) has had and will continue to have a growing impact on economic and social development. Focusing on the special characteristics of IRI policies in China, this book provides an in-depth discussion of the major directions, methods, and paths of development for IRI policies via a comprehensive analysis of the structural, organizational, promotional policies and policy instruments of China’s IRI. Concentrating on policy instruments, the book, for the first time, provides a systematic, all-rounded review of China’s IRI policies that have been released to date, and proposes a “China Information Resource Industry Policy Library” comprising six types of IRI policy documents: organizational, information, regulatory, incentives, market, and social. The whole contributes to a comprehensive understanding of the application of various IRI policies in China, and also supports the decision making behind and building of industrial policies.
This book is devoted to the mathematical methods of metamodeling that can be used to speed up the valuation of large portfolios of variable annuities. It is suitable for advanced undergraduate students, graduate students, and practitioners. It is the goal of this book to describe the computational problems and present the metamodeling approaches in a way that can be accessible to advanced undergraduate students and practitioners. To that end, the book will not only describe the theory of these mathematical approaches, but also present the implementations.
Data clustering is a highly interdisciplinary field, the goal of which is to divide a set of objects into homogeneous groups such that objects in the same group are similar and objects in different groups are quite distinct. Thousands of theoretical papers and a number of books on data clustering have been published over the past 50 years. However,
A great book for those familiar with Zen, newcomers curious about Chan, and anyone who appreciates beauty. Enter the essence of Chinese Zen from the perspective of a young, dynamic, Western-educated teacher. Master Guojun offers an intimate, lyrical portrayal of life lived in the rich tradition of Chan, from his apprenticeship with a master Zen calligrapher to the lessons learned from building and running a major practice center. Through sparkling prose, Guojun lays out the essence of Chan and captures moving encounters with some of its greatest contemporary teachers, showing readers how to fold its insights into their own lives. Featuring the lyrical simplicity of Thich Nhat Hanh and the engaging storytelling of Ajahn Brahm, this book is further enhanced by the author’s own elegant calligraphy.
This book discusses various passive and active techniques for controlling unsteady flow dynamics and associated coupled mechanics of fluid-structure interaction. Coupled multiphysics and multidomain simulations are emerging and challenging research areas, which have received significant attention during the past decade. One of the most common multiphysics and multidomain problems is fluid-structure interaction (FSI), i.e., the study of coupled physical systems involving fluid and a structure that have a mechanical influence on each other. Regardless of the application area, the investigation toward modeling of fluid-structure interaction and the underlying mechanisms in dealing with coupled fluid-structure instability with real-world applications remains a challenge to scientists and engineers. This book is designed for students and researchers who seek knowledge of computational modeling and control strategies for fluid-structure interaction. Specifically, this book provides a comprehensive review of the underlying unsteady physics and coupled mechanical aspects of the fluid-structure interaction of freely vibrating bluff bodies, the self-induced flapping of thin flexible structures, and aeroelasticity of shell structures. Understanding flow-induced loads and vibrations can lead to safer and cost-effective structures, especially for light and high-aspect ratio structures with increased flexibility and harsh environmental conditions. Using the body-fitted and moving mesh formulations, the physical insights associated with structure-to-fluid mass ratios, Reynolds number, nonlinear structural deformation, proximity interference, near-wall contacts, free-surface, and other interacting physical fields are covered in this book. In conjunction with the control techniques, data-driven model reduction approaches based on subspace projection and deep neural calculus are covered for low-dimensional modeling of unsteady fluid-structure interaction.
This book discusses various passive and active techniques for controlling unsteady flow dynamics and associated coupled mechanics of fluid-structure interaction. Coupled multiphysics and multidomain simulations are emerging and challenging research areas, which have received significant attention during the past decade. One of the most common multiphysics and multidomain problems is fluid-structure interaction (FSI), i.e., the study of coupled physical systems involving fluid and a structure that have a mechanical influence on each other. Regardless of the application area, the investigation toward modeling of fluid-structure interaction and the underlying mechanisms in dealing with coupled fluid-structure instability with real-world applications remains a challenge to scientists and engineers. This book is designed for students and researchers who seek knowledge of computational modeling and control strategies for fluid-structure interaction. Specifically, this book provides a comprehensive review of the underlying unsteady physics and coupled mechanical aspects of the fluid-structure interaction of freely vibrating bluff bodies, the self-induced flapping of thin flexible structures, and aeroelasticity of shell structures. Understanding flow-induced loads and vibrations can lead to safer and cost-effective structures, especially for light and high-aspect ratio structures with increased flexibility and harsh environmental conditions. Using the body-fitted and moving mesh formulations, the physical insights associated with structure-to-fluid mass ratios, Reynolds number, nonlinear structural deformation, proximity interference, near-wall contacts, free-surface, and other interacting physical fields are covered in this book. In conjunction with the control techniques, data-driven model reduction approaches based on subspace projection and deep neural calculus are covered for low-dimensional modeling of unsteady fluid-structure interaction.
This book explores the paradox of the hospitality industry: customers demand not only personal and innovative tourism products and services, but also cost-effective ones. Enterprises have the option to meet the former demand by offering authentic products and services while the latter could be achieved through standardization. Although it seems ideal to combine both concepts, they seemingly contradict each other leading to suppliers facing an authenticity-standardization paradox. The authors identify, analyze, and provide solutions for this authenticity-standardization paradox based on a series of case studies of restaurants in China. This book will be of interest to scholars, business owners, and consultants.
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