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Pattern Recognition
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The Third Space and Chinese Language Pedagogy
The Third Space and Chinese Language Pedagogy presents the Third Space as a new frame through which foreign language pedagogy is conceptualized as a pedagogy of negotiating intentions and expectations in another culture. The field of Chinese as a foreign language (CFL) in the past decades has been expanding rapidly at the beginning and intermediate levels, yet it is lacking in scholarship on the true advanced level both in theory building and research-supported curriculum and material development. This book argues that it is time for CFL to go beyond merely satisfying the desire of gazing at the other, whether it is curiosity about the other or superiority over the other, to focusing on learning to work with the other. It reimagines the field as co-constructing a transcultural Third Space where learners are becoming experts in negotiating intentions and expectations in another culture. It presents a range of research-based CFL pedagogical scholarship and practices especially relevant to the advanced level and to the goal of enabling learners to go past fans or critics to become actors/players in the game of cross-lingual and intercultural cooperation.
China Review 1996
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The Oxford Handbook of Chinese Psychology
In recent years China has witnessed unprecedented economic growth, emerging as a powerful, influential player on the global stage. Now, more than ever, there is a great interest and need within the West to better understand the psychological and social processes that characterize the Chinese people. The Oxford Handbook of Chinese Psychology is the first book of its kind - a comprehensive and commanding review of Chinese psychology, covering areas of human functioning with unparalleled sophistication and complexity. In 42 chapters, leading authorities cite and integrate both English and Chinese-language research in topic areas ranging from the socialization of children, mathematics achievemen...
Model-Based Reinforcement Learning
Model-Based Reinforcement Learning Explore a comprehensive and practical approach to reinforcement learning Reinforcement learning is an essential paradigm of machine learning, wherein an intelligent agent performs actions that ensure optimal behavior from devices. While this paradigm of machine learning has gained tremendous success and popularity in recent years, previous scholarship has focused either on theory—optimal control and dynamic programming – or on algorithms—most of which are simulation-based. Model-Based Reinforcement Learning provides a model-based framework to bridge these two aspects, thereby creating a holistic treatment of the topic of model-based online learning co...
The Proceedings of the 9th Frontier Academic Forum of Electrical Engineering
This book includes the original, peer-reviewed research papers from the 9th Frontier Academic Forum of Electrical Engineering (FAFEE 2020), held in Xi’an, China, in August 2020. It gathers the latest research, innovations, and applications in the fields of Electrical Engineering. The topics it covers including electrical materials and equipment, electrical energy storage and device, power electronics and drives, new energy electric power system equipment, IntelliSense and intelligent equipment, biological electromagnetism and its applications, and insulation and discharge computation for power equipment. Given its scope, the book benefits all researchers, engineers, and graduate students who want to learn about cutting-edge advances in Electrical Engineering.
Proceedings of 2019 Chinese Intelligent Automation Conference
The proceedings present selected research papers from the CIAC2019, held in Jiangsu, China on September 20-22, 2019. It covers a wide range of topics including intelligent control, robotics, artificial intelligence, pattern recognition, unmanned systems, IoT and machine learning. It includes original research and the latest advances in the field of intelligent automation. Engineers and researchers from academia, industry, and government can gain valuable insights into solutions combining ideas from multiple disciplines in this field.
Tectono-Magmatism, Metallogenesis, and Sedimentation at Convergent Margins
Convergent plate margins are important places for material and energy recycling of the Earth, in particular major sites for continental growth, reworking, and recycling. They exhibit as narrow belt structure in the rigid outer layer of the Earth, corresponding to subduction zones at lithospheric mantle depths and orogenic belts at crustal depths. The type, geometry, and thermal structure of subduction zones have critical impacts on subduction processes and nature of products, resulting in a variety of magmatic rocks and ore deposits at convergent margins. Identification and classification of the physical structure and chemical variation at convergent margins as well as confirming their correlation with specific subduction types and stages are of pivotality to understand the spatiotemporal interaction between asthenosphere and lithosphere in orogenic belts. For places where magmatic arcs get partially or entirely destroyed by surface and/or subduction erosion, adjacent sedimentary rocks are ideal geological records for paleotectonic reconstruction.
Mathematical Reviews
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