This book provides a comprehensive overview of the recent advancement in the field of automatic speech recognition with a focus on deep learning models including deep neural networks and many of their variants. This is the first automatic speech recognition book dedicated to the deep learning approach. In addition to the rigorous mathematical treatment of the subject, the book also presents insights and theoretical foundation of a series of highly successful deep learning models.

This book analyzes how Chinese people use their time, including how busy Chinese seek a healthy work-life balance, how some children win from the outset in terms of education, and how people pursue quality of life outside of or after work. General readers will get a vivid and detailed impression of the way Chinese people spend their time, while researchers will find a wealth of phenomena and data for analysis from both economic and social perspectives. The research presented here was conducted in the context of the Chinese Time Use Survey (CTUS), a nationwide initiative launched by Inner Mongolia University in 2017. The CTUS covers 29 Chinese provinces, and the database contains the time use information of 30,591 people aged 3 years and over from 12,471 households. The survey collects information at three main levels: personal, family and community.

This book aims to establish a wind energy evaluation system, to provide scientific reference for site selection, daily operation and long-term planning of wind power generation, thus to make contribution to breaking the shackles of power shortage. Firstly, it presents the advantages and disadvantages of offshore wind power, then further discusses about the status quo and challenges for wind power programs along the Maritime Silk Road and offer suggestions. A wind energy evaluation system was proposed with the Maritime Silk Road as a case study, including climatic features of wind power (temporal-spatial distribution), long-term climatic trend and mechanism, short-term forecast of wind energy, mid- and long-term projection of wind energy, technology of wind energy evaluation on key point or vital region and offshore wind energy dataset construction, to provide systematic and scientific reference for wind power evaluation and utilization. This book is one of the series of publications on 21st century Maritime Silk Road (shortened as "Maritime Silk Road"). It covers the characteristics of the marine environment and marine renewable energy, remote islands and reefs construction, climate change, early warning of wave disasters, legal escort, marine environment and energy big data construction, etc., contributing to the safe and efficient construction of the Maritime Silk Road. It aims to improve our knowledge of the ocean, thus, to improve the capacity for marine construction, enhance the viability of remote islands and reefs, ease the energy crisis and protect the ecological environment, improve the quality of life of residents along the Maritime Silk Road, and protect the rights, interests of the countries and regions participating in the construction of the Maritime Silk Road. It is a valuable reference for decision-makers, researchers, and marine engineers working in the related fields.

This book provides a comprehensive overview of the recent advancement in the field of automatic speech recognition with a focus on deep learning models including deep neural networks and many of their variants. This is the first automatic speech recognition book dedicated to the deep learning approach. In addition to the rigorous mathematical treatment of the subject, the book also presents insights and theoretical foundation of a series of highly successful deep learning models.

The formulation and the technological advancements in RNA biology, chemistry, stability, and encapsulated delivery systems that have enabled the development of fully synthetic mRNA vaccines are discussed in this volume. The applications of the mRNA technology is covered, focusing on infectious diseases but also touching on other indications, such as immunotherapies and molecular therapies. Potent and long-lasting immune responses observed in animal models, encouraging data from early human clinical studies, together with the success of two mRNA-based COVID-19 vaccines support the use of mRNA-based vaccination as an attractive alternative to conventional vaccine approaches. Consequently, the development progress of the technology, particularly on production, capabilities, and clinical development is reviewed. Topics on safety, regulatory issues, and possible challenges to the mRNA vaccination approach round off this book. Thanks to their high potency, the prospect for generic, low-cost manufacturing processes, and entirely synthetic nature, the future for mRNA vaccines is highly promising. Importantly, mRNA vaccines have the potential to minimize the time between pathogen identification and vaccine release with a huge impact on public health. As the mRNA-based vaccination technology has been progressing rapidly, the book is intended to be an end-to-end review series, covering everything from basic RNA biology and preclinical studies to the manufacturing strategy, clinical development and regulatory approval. It provides established RNA researchers and developers with updates on the latest advancements in the field and allows for a quick but comprehensive overview of this transformative technology, its application, and future potential.

This book mainly provides the current status of water pollution faced by China under rapid changing environment and the actions that have been taken for prevention and treatment of water pollution. It points out that the water pollution situation is severe. Facing water pollution, China's experiences include several aspects on source control and pollution interception, internal nutrient removal of sediment, ecological restoration, and water transfer policy. There exists both the opportunity and challenge for the prevention and control of water pollution in China. The book contains numerous charts and diagrams which further illustrating China's paths to clean water.

This book aims to establish a wind energy evaluation system, to provide scientific reference for site selection, daily operation and long-term planning of wind power generation, thus to make contribution to breaking the shackles of power shortage. Firstly, it presents the advantages and disadvantages of offshore wind power, then further discusses about the status quo and challenges for wind power programs along the Maritime Silk Road and offer suggestions. A wind energy evaluation system was proposed with the Maritime Silk Road as a case study, including climatic features of wind power (temporal-spatial distribution), long-term climatic trend and mechanism, short-term forecast of wind energy, mid- and long-term projection of wind energy, technology of wind energy evaluation on key point or vital region and offshore wind energy dataset construction, to provide systematic and scientific reference for wind power evaluation and utilization. This book is one of the series of publications on 21st century Maritime Silk Road (shortened as "Maritime Silk Road"). It covers the characteristics of the marine environment and marine renewable energy, remote islands and reefs construction, climate change, early warning of wave disasters, legal escort, marine environment and energy big data construction, etc., contributing to the safe and efficient construction of the Maritime Silk Road. It aims to improve our knowledge of the ocean, thus, to improve the capacity for marine construction, enhance the viability of remote islands and reefs, ease the energy crisis and protect the ecological environment, improve the quality of life of residents along the Maritime Silk Road, and protect the rights, interests of the countries and regions participating in the construction of the Maritime Silk Road. It is a valuable reference for decision-makers, researchers, and marine engineers working in the related fields.

Deep Learning provides an overview of general deep learning methodology and its applications to a variety of signal and information processing tasks. The application areas are chosen with the following three criteria in mind: (1) expertise or knowledge of the authors; (2) the application areas that have already been transformed by the successful use of deep learning technology, such as speech recognition and computer vision; and (3) the application areas that have the potential to be impacted significantly by deep learning and that have been benefitting from recent research efforts, including natural language and text processing, information retrieval, and multimodal information processing empowered by multitask deep learning. This is a timely and important book for researchers and students with an interest in deep learning methodology and its applications in signal and information processing.