This book comprehensively examines the development of translator and interpreter training using bibliometric reviews of the state of the field and empirical studies on classroom practice. It starts by introducing databases in bibliometric reviews and presents a detailed account of the reasons behind the project and its objectives as well as a description of the methods of constructing databases. The introduction is followed by full-scale review studies on various aspects of translator and interpreter training, providing not only an overall picture of the research themes and methods, but also valuable information on active authors, institutions and countries in the subfields of translator training, interpreter training, and translator and interpreter training in general. The book also compares publications from different subfields of research, regions and journals to show the special features within this discipline. Further, it provides a series of empirical studies conducted by the authors, covering a wide array of topics in translator and interpreter training, with an emphasis on learner factors. This collective volume, with its unique perspective on bibliometric data and empirical studies, highlights the latest development in the field of translator and interpreter training research. The findings presented will help researchers, trainers and practitioners to reflect on the important issues in the discipline and find possible new directions for future research.
Kernel Learning Algorithms for Face Recognition covers the framework of kernel based face recognition. This book discusses the advanced kernel learning algorithms and its application on face recognition. This book also focuses on the theoretical deviation, the system framework and experiments involving kernel based face recognition. Included within are algorithms of kernel based face recognition, and also the feasibility of the kernel based face recognition method. This book provides researchers in pattern recognition and machine learning area with advanced face recognition methods and its newest applications.
This book comprehensively and systematically demonstrates the theory and practice of designing, synthesizing and improving the performance of fuels. The contents range from polycyoalkane fuels, strained fuels, alky-diamondoid fuels, hypergolic and nanofluid fuels derived from fossil and biomass. All the chapters together clearly describe the important aspects of high-energy-density fuels including molecular design, synthesis route, physiochemical properties, and their application in improving the aerocraft performance. Vivid schematics and illustrations throughout the book enhance the accessibility to the relevant theory and technologies. This book provides the readers with fundamentals on high-energy-density fuels and their potential in advanced aerospace propulsion, and also provides the readers with inspiration for new development of advanced aerospace fuels.
Deep China investigates the emotional and moral lives of the Chinese people as they adjust to the challenges of modernity. Sharing a medical anthropology and cultural psychiatry perspective, Arthur Kleinman, Yunxiang Yan, Jing Jun, Sing Lee, Everett Zhang, Pan Tianshu, Wu Fei, and Guo Jinhua delve into intimate and sometimes hidden areas of personal life and social practice to observe and narrate the drama of Chinese individualization. The essays explore the remaking of the moral person during China’s profound social and economic transformation, unraveling the shifting practices and struggles of contemporary life.
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