Li Yifan, with the Nine Yin Meridians on his body, was able to reach the world with just his hands alone. He had stolen the hearts of countless young girls, and facing the women around him, Li Yifan chuckled and waved his hand, "Come ... Let this Divine Doctor treat your illnesses.
Li Yifan, with the Nine Yin Meridians on his body, was able to reach the world with just his hands alone. He had stolen the hearts of countless young girls, and facing the women around him, Li Yifan chuckled and waved his hand, "Come ... Let this Divine Doctor treat your illnesses.
During China’s transition from dynastic empire to nation-state, the crowd emerged as a salient trope. Intellectuals across the ideological spectrum have used the crowd trope to ruminate on questions of selfhood and nationhood, and to advance competing models of enlightenment and revolution.Revolutionary Waves analyzes the centrality of the crowd in the Chinese cultural and political imagination and its global resonances by delving into a wide range of fiction, philosophy, poetry, and psychological studies. Bringing together literary studies, intellectual history, critical theory, and the history of human sciences, this interdisciplinary work highlights unexplored interactions among emerging social-scientific forms of knowledge, new aesthetic modes of representation, and changing political imperatives. The work brings into relief the complexities of the modern Chinese crowd discourse, which generated subjectivities and oriented actions, enabled as well as constrained the expression of togetherness, and thus both expanded and limited the horizon of political possibilities in the emerging age of mass politics.The first in-depth examination of the aesthetics and politics of the crowd in modern Chinese literature and thought, Revolutionary Waves raises questions about the promise and peril of community as communion and reimagines collective life in China’s post-socialist present.
Cognitive linguists believe that metaphors are prevalent in human thought, while metaphorical structures are reflected at the linguistic level. Therefore, analysing extensive language data can aid in revealing the metaphorical mappings of embodied experience with the senses of vision, hearing, smell, taste, touch, and temperature. This volume seeks to discover the similarities and differences between the metaphorical systems of the English and Chinese languages. Adopting a comparative view, the authors examine the semantic extensions of perception words in English and Chinese, in order to reveal the metaphorical scope of each sense and the metaphorical system behind it. They argue that the metaphorical systems of the senses not only help us understand and use conventionalised metaphorical expressions but also allow us to create novel expressions. The findings also unveil how abstract concepts are constructed via cognitive mechanisms, such as image schema and metaphor. This title is a useful reference for scholars and students who are interested in cognitive linguistics, comparative linguistics, and the philosophy of language.
The book studies sub-Laplacian operators on a family of model domains in C^{n+1}, which is a good point-wise model for a $CR$ manifold with non-degenerate Levi form. A considerable amount of study has been devoted to partial differential operators constructed from non-commuting vector fields, in which the non-commutativity plays an essential role in determining the regularity properties of the operators.
The IoT topology defines the way various components communicate with each other within a network. Topologies can vary greatly in terms of security, power consumption, cost, and complexity. Optimizing the IoT topology for different applications and requirements can help to boost the network’s performance and save costs. More importantly, optimizing the topology robustness can ensure security and prevent network failure at the foundation level. In this context, this book examines the optimization schemes for topology robustness in the IoT, helping readers to construct a robustness optimization framework, from self-organizing to intelligent networking. The book provides the relevant theoretical framework and the latest empirical research on robustness optimization of IoT topology. Starting with the self-organization of networks, it gradually moves to genetic evolution. It also discusses the application of neural networks and reinforcement learning to endow the node with self-learning ability to allow intelligent networking. This book is intended for students, practitioners, industry professionals, and researchers who are eager to comprehend the vulnerabilities of IoT topology. It helps them to master the research framework for IoT topology robustness optimization and to build more efficient and reliable IoT topologies in their industry.
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