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Qin Wang

    Gesund durch chinesische Medizin
    Application of low intensity ultrasound to characterise the microstructure of model food systems
    Near-space remote sensing
    Configurations of the Individual in Modern Chinese Literature
    • Exploring the configurations of the individual in modern Chinese literature, this book analyzes works by renowned authors such as Zhou Zuoren, Lu Xun, Lao She, and Mu Shiying. It offers a fresh perspective on the history of modern Chinese literature while addressing the contentious issue of individual rights in contemporary China. The text reveals how various representations of the individual suggest complex political possibilities that challenge Western notions of individualism, providing essential insights for political scientists and scholars interested in 21st-century China.

      Configurations of the Individual in Modern Chinese Literature
    • Near-space remote sensing

      Potential and Challenges

      Near-space is defined as the atmospheric region from about 20 kilometer (km) altitude to 100 km altitude above the Earth’s surface. It has received much attention in recent years and several types of near-space vehicles are currently being studied, developed, or employed. “Near-Space Remote Sensing: Potential and Challenges” concentrates mainly on the role of near-space vehicles in bridging the gap between satellites and airplanes for microwave remote sensing applications, providing a top-level system description and aiming to encourage further research. Further, this book also describes several potential applications such as passive surveillance, reconnaissance, and high resolution wide swath remote imaging. The book is intended for geographers, transportation engineers and other researchers involved in remote sensing development and applications, in particular for near-space vehicles. Wen-Qin Wang is an assistant professor at the School of Communication and Information Engineering, University of Electronic Science and Technology of China.

      Near-space remote sensing