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This book brings together papers from the 2019 International Conference on Communications, Signal Processing, and Systems, which was held in Urumqi, China, on July 20–22, 2019. Presenting the latest developments and discussing the interactions and links between these multidisciplinary fields, the book spans topics ranging from communications to signal processing and systems. It is chiefly intended for undergraduate and graduate students in electrical engineering, computer science and mathematics, researchers and engineers from academia and industry, as well as government employees.
The three-volume set LNCS 13623, 13624, and 13625 constitutes the refereed proceedings of the 29th International Conference on Neural Information Processing, ICONIP 2022, held as a virtual event, November 22–26, 2022. The 146 papers presented in the proceedings set were carefully reviewed and selected from 810 submissions. They were organized in topical sections as follows: Theory and Algorithms; Cognitive Neurosciences; Human Centered Computing; and Applications. The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements.
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This volume is the first book-length monograph on the most widespread and deadly infectious disease in China, both historically and today: tuberculosis (TB). Weaving together interviews with data from periodicals and local archives in Shanghai, Rachel Core examines the rise and fall of TB control in China from the 1950s to the 1990s. The answer to this, Core argues, lies in the socialist work-unit system. Under the work-unit system, the vast majority of people had guaranteed employment, a host of benefits tied to their workplace, and there was little mobility—factors that made the delivery of medical and public health services possible in both urban and rural areas. The dismantling of work...