This book brings audiences the enchanting melodies passing down from generation to generation in the Zhuang community, which are on the brink of extinction. Specifically, it sheds light on the origin, evolution and artistic features of Zhuang folk song in the first place, and then it shifts to their English translation based on meta-functional equivalence, through which the multi-aesthetics of Zhuang folk song have been represented. At length, forty classic Zhuang folk songs have been selected, and each could be sung bilingually in line with the stave. This book benefits researchers and students who are interested in music translation as well as the Zhuang ethnic music, culture and literature. It also gives readers an insight into musicology, anthropology and intercultural study.

Marketing in the tourism and hospitality industry has transformed with the development of digital marketing tools and the evolution of social culture. Recently, the advent of new technologies such as smartphones, artificial intelligence, virtual reality, robots, and new GIS systems has created more possibilities for marketing innovations. Advancements in information technology are leading to changes in business processes, service standards, and management mindsets. Meanwhile, consumers are also adapting to the new marketing paradigm. Researchers are interested in studying this newly-emerging and unpredictable business environment, customer decision making, new management tactics, and business analytic strategies. Future of Tourism Marketing aims to assess the role of modern technologies in marketing tourism destinations and their effects on potential visitors. This book will provide an update on research into the new marketing paradigm that is developing as a result of new technologies in a post-modern era. The chapters in this book were originally published in Journal of Travel & Tourism Marketing.

The on-going reconfiguration of geo-political and economic forces across the globe has created a new institutional and moral environment for East Asian family life and gender dynamics. Indeed, modernisation in East Asia has brought about increases in women's education levels and participation in the labour force, a delay in marriage age, lower birth rates, and smaller family size. And yet, despite the process of modernization, traditional systems such as Confucianism and patriarchal rules, continue to shape gender politics and family relationships in East Asia. This book examines gender politics and family culture in East Asia in light of both the overwhelming changes that modernization and globalization have brought to the region, and the structural restrictions that women in East Asian societies continue to face in their daily lives. Across three sections, the contributors to this volume focus on marriage and motherhood, religion and family, and migration. In doing so, they reveal how actions and decisions implemented by the state trigger changes in gender and family at the local level, the impact of increasing internal and transnational migration on East Asian culture, and how religion interweaves with the state in shaping gender dynamics and daily life within the family. With case studies from across the region, including South Korea, Japan, mainland China, Taiwan, and Hong Kong, this book will be of great interest to students and scholars of Asian studies, gender studies, anthropology, sociology and social policy.

The on-going reconfiguration of geo-political and economic forces across the globe has created a new institutional and moral environment for East Asian family life and gender dynamics. Indeed, modernisation in East Asia has brought about increases in women's education levels and participation in the labour force, a delay in marriage age, lower birth rates, and smaller family size. And yet, despite the process of modernization, traditional systems such as Confucianism and patriarchal rules, continue to shape gender politics and family relationships in East Asia. This book examines gender politics and family culture in East Asia in light of both the overwhelming changes that modernization and globalization have brought to the region, and the structural restrictions that women in East Asian societies continue to face in their daily lives. Across three sections, the contributors to this volume focus on marriage and motherhood, religion and family, and migration. In doing so, they reveal how actions and decisions implemented by the state trigger changes in gender and family at the local level, the impact of increasing internal and transnational migration on East Asian culture, and how religion interweaves with the state in shaping gender dynamics and daily life within the family. With case studies from across the region, including South Korea, Japan, mainland China, Taiwan, and Hong Kong, this book will be of great interest to students and scholars of Asian studies, gender studies, anthropology, sociology and social policy.

Marketing in the tourism and hospitality industry has transformed with the development of digital marketing tools and the evolution of social culture. Recently, the advent of new technologies such as smartphones, artificial intelligence, virtual reality, robots, and new GIS systems has created more possibilities for marketing innovations. Advancements in information technology are leading to changes in business processes, service standards, and management mindsets. Meanwhile, consumers are also adapting to the new marketing paradigm. Researchers are interested in studying this newly-emerging and unpredictable business environment, customer decision making, new management tactics, and business analytic strategies. Future of Tourism Marketing aims to assess the role of modern technologies in marketing tourism destinations and their effects on potential visitors. This book will provide an update on research into the new marketing paradigm that is developing as a result of new technologies in a post-modern era. The chapters in this book were originally published in Journal of Travel & Tourism Marketing.

The educational system in China is marked by its dramatic inequality between rural and urban schools. The challenges facing rural schools are usually understood as disadvantages in funding, facilities, and staffing, which consequently result in undesirable student performance in general. This book, however, penetrates these phenomena on the surface and brings forth a much deeper moral crisis in rural education, a crisis that is entrenched in the complicated interlocking of formal and informal institutions within and beyond the school. The Demoralization of Teachers describes the work and workplace in a rural school from the perspective of teachers who were working there. It faithfully depicts the lamentable state of teachers' work morale in the school and, little by little as if a detective story, reveals the reasons for the teachers' demoralization by vivid narratives. The book demonstrates the profound impact on the meanings of teaching exerted by the state curriculum reform, the formal and informal norms and regulations in the school, and the erosion of moral integrity in the state bureaucracy and the society at large. The crisis in the rural school stops to be a "rural" or educational problem in nature, but mirrors the societal-wide transformation in political economy as well as in ideology in the current reform China. The sheer complexity of the moral crisis in this ethnography calls for renewed efforts to identify and investigate the educational problems in rural China from fresh theoretical perspectives that situate rural education in broader historical and social contexts and processes.

The brief focuses on applying sublinear algorithms to manage critical big data challenges. The text offers an essential introduction to sublinear algorithms, explaining why they are vital to large scale data systems. It also demonstrates how to apply sublinear algorithms to three familiar big data applications: wireless sensor networks, big data processing in Map Reduce and smart grids. These applications present common experiences, bridging the theoretical advances of sublinear algorithms and the application domain. Sublinear Algorithms for Big Data Applications is suitable for researchers, engineers and graduate students in the computer science, communications and signal processing communities.

This book brings audiences the enchanting melodies passing down from generation to generation in the Zhuang community, which are on the brink of extinction. Specifically, it sheds light on the origin, evolution and artistic features of Zhuang folk song in the first place, and then it shifts to their English translation based on meta-functional equivalence, through which the multi-aesthetics of Zhuang folk song have been represented. At length, forty classic Zhuang folk songs have been selected, and each could be sung bilingually in line with the stave. This book benefits researchers and students who are interested in music translation as well as the Zhuang ethnic music, culture and literature. It also gives readers an insight into musicology, anthropology and intercultural study.

This book constitutes the refereed post-conference proceedings of the 15th EAI International Conference on Quality, Reliability, Security and Robustness in Heterogeneous Networks, QShine 2019, held in Shenzhen, China, in November 2019. The 16 revised full papers were carefully reviewed and selected from 55 submissions. The papers are organized thematically in tracks, starting with mobile systems, cloud resource management and scheduling, machine learning, telecommunication systems, and network management.

This unique text helps make sense of big data in engineering applications using tools and techniques from signal processing. It presents fundamental signal processing theories and software implementations, reviews current research trends and challenges, and describes the techniques used for analysis, design and optimization. Readers will learn about key theoretical issues such as data modelling and representation, scalable and low-complexity information processing and optimization, tensor and sublinear algorithms, and deep learning and software architecture, and their application to a wide range of engineering scenarios. Applications discussed in detail include wireless networking, smart grid systems, and sensor networks and cloud computing. This is the ideal text for researchers and practising engineers wanting to solve practical problems involving large amounts of data, and for students looking to grasp the fundamentals of big data analytics.