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.
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.
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.
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.
Due to the fast growth of the Web and the difficulties in finding desired information, efficient and effective information retrieval systems have become more important than ever, and the search engine has become an essential tool for many people. The ranker, a central component in every search engine, is responsible for the matching between processed queries and indexed documents. Because of its central role, great attention has been paid to the research and development of ranking technologies. In addition, ranking is also pivotal for many other information retrieval applications, such as collaborative filtering, definition ranking, question answering, multimedia retrieval, text summarization, and online advertisement. Leveraging machine learning technologies in the ranking process has led to innovative and more effective ranking models, and eventually to a completely new research area called “learning to rank”. Liu first gives a comprehensive review of the major approaches to learning to rank. For each approach he presents the basic framework, with example algorithms, and he discusses its advantages and disadvantages. He continues with some recent advances in learning to rank that cannot be simply categorized into the three major approaches – these include relational ranking, query-dependent ranking, transfer ranking, and semisupervised ranking. His presentation is completed by several examples that apply these technologies to solve real information retrieval problems, and by theoretical discussions on guarantees for ranking performance. This book is written for researchers and graduate students in both information retrieval and machine learning. They will find here the only comprehensive description of the state of the art in a field that has driven the recent advances in search engine development.
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.
Intelligent electromagnetic (EM) sensing is a powerful contactless examination tool in science, engineering and military, enabling us to 'see' and 'understand' visually invisible targets. Using intelligence, the sensor can organize by itself the task-oriented sensing pipeline (data acquisition plus processing) without human intervention. Intelligent metasurface sensors, synergizing ultrathin artificial materials (AMs) for flexible wave manipulation and artificial intelligences (AIs) for powerful data manipulation, emerge in response to the proper time and conditions, and have attracted growing interest over the past years. The authors expect that the results in this Element could be utilized to achieve the goal that conventional sensors cannot achieve, and that the developed strategies can be extended over the entire EM spectra and beyond, which will produce important impacts on the society of the robot-human alliance.
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