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Information Computing and Applications
This two-volume set of CCIS 391 and CCIS 392 constitutes the refereed proceedings of the Fourth International Conference on Information Computing and Applications, ICICA 2013, held in Singapore, in August 2013. The 126 revised full papers presented in both volumes were carefully reviewed and selected from 665 submissions. The papers are organized in topical sections on Internet computing and applications; engineering management and applications; Intelligent computing and applications; business intelligence and applications; knowledge management and applications; information management system; computational statistics and applications.
Red Genesis
Winner of the 2013 Best Publication Award for Original Scholarship presented by the Association of Chinese Professors of Social Sciences in the United States How did an obscure provincial teachers college produce graduates who would go on to become founders and ideologues of the Chinese Communist Party? Mao Zedong, Cai Hesen, Xiao Zisheng, and others attended the Hunan First Normal School. Focusing on their alma mater, this work explores the critical but overlooked role modern schools played in sowing the seeds of revolution in the minds of students seeking modern education in the 1910s. The Hunan First Normal School was one of many reformed schools established in China in the early twentiet...
The Found Generation
In contrast to the Lost Generation of youth in the West, who were disoriented and disillusioned by the First World War and its aftermath, the Chinese youth born between 1895 and 1905 not only believed they had a duty to “save” their nation but pursued their goal through social and political experimentation. The vigorous purpose and optimism of this Found Generation contrasted with the apathy and detachment of their Western counterparts, who followed a different path in coming to terms with the new world of the twentieth century. Just after the First World War, sixteen hundred Chinese young men and women traveled to Europe, most of them to France, as members of the Work-Study Movement. Th...
Medical Image Computing and Computer Assisted Intervention − MICCAI 2017
The three-volume set LNCS 10433, 10434, and 10435 constitutes the refereed proceedings of the 20th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2017, held inQuebec City, Canada, in September 2017. The 255 revised full papers presented were carefully reviewed and selected from 800 submissions in a two-phase review process. The papers have been organized in the following topical sections: Part I: atlas and surface-based techniques; shape and patch-based techniques; registration techniques, functional imaging, connectivity, and brain parcellation; diffusion magnetic resonance imaging (dMRI) and tensor/fiber processing; and image segmentation and modelling. Part II: optical imaging; airway and vessel analysis; motion and cardiac analysis; tumor processing; planning and simulation for medical interventions; interventional imaging and navigation; and medical image computing. Part III: feature extraction and classification techniques; and machine learning in medical image computing.
Civil Engineering and Disaster Prevention
Civil Engineering and Disaster Prevention focuses on the research of civil engineering, architecture and disaster prevention and control. These proceedings gather the most cutting-edge research and achievements, aiming to provide scholars and engineers with valuable research direction and engineering solutions. Subjects covered in the proceedings include: Civil Engineering Engineering Structure Architectural Materials Disaster Prevention and Control Building Electrical Engineering The works of these proceedings aim to promote the development of civil engineering and environment engineering. Thereby, fostering scientific information interchange between scholars from the top universities, research centers and high-tech enterprises working all around the world.
Micro/Nanorobots in Nanobiotechnology
Micro/nanorobots have emerged as functional agents and versatile tools for investigating the complex microenvironments within biological systems. Operating at a scale comparable to cells, these micro/nanorobots offer controllable motion and customizable characteristics, whilst swarming micro/nanorobots exhibit exceptional efficiency, robustness, and adaptivity. As a result, these active particles hold significant potential for interacting with living cells, diseased tissues, and organs, offering viable approaches to uncovering natural principles of development and addressing diseases such as drug-tolerant infections and bacterial self-organization. To tackle these challenges, functionalized ...
