Dan Wang

Breakneck

A riveting, firsthand investigation of China's seismic progress, its human costs, and what it means for America.

China's Quest to Engineer the Future

A riveting, firsthand investigation of China’s seismic progress, its human costs, and what it means for America. For close to a decade, technology analyst Dan Wang—“a gifted observer of contemporary China” (Ross Douthat)—has been living through the country’s astonishing, messy progress. China’s towering bridges, gleaming railways, and sprawling factories have improved economic outcomes in record time. But rapid change has also sent ripples of pain throughout the society. This reality—political repression and astonishing growth—is not a paradox, but rather a feature of China’s engineering mindset. In Breakneck, Wang blends political, economic, and philosophical analysis with reportage to reveal a provocative new framework for understanding China—one that helps us see America more clearly, too. While China is an engineering state, relentlessly pursuing megaprojects, the United States has stalled. America has transformed into a lawyerly society, reflexively blocking everything, good and bad Blending razor-sharp analysis with immersive storytelling, Wang offers a gripping portrait of a nation in flux. Breakneck traverses metropolises like Shanghai, Chongqing, and Shenzhen, where the engineering state has created not only dazzling infrastructure but also a sense of optimism. The book also exposes the downsides of social engineering, including the surveillance of ethnic minorities, political suppression, and the traumas of the one-child policy and zero-Covid. In an era of animosity and mistrust, Wang unmasks the shocking similarities between the United States and China. Breakneck reveals how each country points toward a better path for the other: Chinese citizens would be better off if their government could learn to value individual liberties, while Americans would be better off if their government could learn to embrace engineering—and to produce better outcomes for the many, not just the few.

Qipeng Song

Pui Wah Kong

Cui Zhang

Li Li 

This Research Topic is the second volume in the series: Biomechanical Performance and Relevant Mechanism of Physical Medicine and Rehabilitation for Neuromusculoskeletal Disorders. The previous volume can be viewed here: Volume I Biomechanical performance is a key to evaluating effectiveness in physical medicine and rehabilitation for neuromusculoskeletal disorders. Assessments can be applied to degenerative dysfunction (e.g., falls or knee osteoarthritis in older adults) and sports-related injuries (e.g., ankle sprain or anterior cruciate ligament injury). Patients' body movements and daily activity functions can be compared to the state of pre-injury condition or to the level of healthy individuals. Some cutting-edge studies have gone a step further and used biomechanical performance to develop physical medicine and rehabilitation approaches and explore the mechanisms behind their effectiveness. However, such studies are still relatively rare. This research topic is intended to encourage more relevant projects to be published. This research topic aims to encourage researchers to use biomechanical performance to design advanced physical medicine and rehabilitation approaches, evaluate the effectiveness of the rehabilitation approaches, and explore the mechanisms by which rehabilitation approaches work for neuromusculoskeletal disorders. Some studies have developed stretching approaches for the rehabilitation of knee osteoarthritis in older adults by measuring biomechanical performance during functional activities. Some studies indicated that the mechanism of physical activity to reduce falls in older adults lies in its effectiveness in increasing proprioceptive sensitivity, and further indicated that rehabilitation of proprioception may be a key to reducing falls in the fall-prone older adult population. Some other studies analyzed biomechanical performance in ankle ligament injuries to understand when, how, and why ligaments fail. As a result, this research topic will expand the application of biomechanical performance to better understand and treat neuromusculoskeletal disorders. This Research Topic will collect Original Research, Review, and Study Protocols on the application of biomechanical performance to evaluate and treat neuromusculoskeletal disorders in physical medicine and rehabilitation or to explore the mechanisms involved. This research topic may include, but is not limited to the following: • Evaluation of physical medicine and rehabilitation programs using biomechanical approaches; • Proposing state-of-the-art physical medicine and rehabilitation programs using biomechanical analysis; • Exploring the mechanisms of neuromusculoskeletal disorders using biomechanical approaches; • Review and meta-analysis of our current understanding of biomechanical characteristics in patients with neuromusculoskeletal disorders • Study protocol for the application of biomechanical methods in physical medicine and rehabilitation.

Biomechanical Performance and Relevant Mechanism of Physical Medicine and Rehabilitation for Neuromusculoskeletal Disorders, volume II

Zhu Han

Mingyi Hong

This unique text helps make sense of big data using signal processing techniques, in applications including machine learning, networking, and energy systems.

Signal Processing and Networking for Big Data Applications

Wei Wang

Bo Li

Xiaowen Chu

Hongbo Jiang

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.

15th EAI International Conference, QShine 2019, Shenzhen, China, November 22–23, 2019, Proceedings

Quality, Reliability, Security and Robustness in Heterogeneous Systems

Seongseop (Sam) Kim

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.

Future of Tourism Marketing

Anqi Ding

Suitable for upper-elementary, teenagers to adult learners of mandarin Chinese, this title includes a variety of vocabulary and grammar exercises, as well as extra reading and listening activities that provide practice of the core language presented in Student's Book 2.

Discover China

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.

Dan Wang

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