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Functional connectomics enables researchers to monitor interactions among thousands of units within the whole brain simultaneously by using various vivo imaging technologies. For example, resting-state functional magnetic resonance imaging can image low-frequency fluctuations in the spontaneous brain activities, representing a popular tool for macro-scale functional connectomics to characterize individual differences in normal brain function, mind-brain associations, and the various disorders. Reliability and reproducibility represents the most fundamental and critical aspect for the human brain functional connectomics to both research and clinical practice. Unfortunately, lacking a data pla...
Archaeological discoveries over the past one hundred years have resulted in repeated calls to "rewrite ancient Chinese history." This is especially true of documents written on oracle bones, bronze vessels, and bamboo strips. In Writing Early China, Edward L. Shaughnessy surveys all of these types of documents and considers what they reveal about the creation and transmission of knowledge in ancient China. Opposed to the common view that most knowledge was transmitted orally in ancient China, Shaughnessy demonstrates that by no later than the tenth century BCE scribes were writing lengthy texts like portions of the Chinese classics, and that by the fourth century BCE the primary mode of textual transmission was by way of visual copying from one manuscript to another.
This ambitious work focuses on the world of Chinese thought during the two and a half centuries directly preceding and partly overlapping the time of Confucius. Ideas developed by Chunqiu statesmen and thinkers formed the intellectual milieu of Confucius and his disciples and contributed directly to the intellectual flowering of the Zhanguo (Warring States) era (453-221 B.C.E.), the formative period of the Chinese intellectual tradition. This study is the first attempt to systematically reconstruct major intellectual trends in pre-Confucian China. Foundations of Confucian Thought is based on an exploration of the Zuo zhuan, the largest pre-imperial historical text. Relying on meticulous text...
This book constitutes the refereed post-conference proceedings of the Second BenchCouncil International Federated Intelligent Computing and Block Chain Conferences, FICC 2020, held in Qingdao, China, in October/ November 2020. The 32 full papers and 6 short papers presented were carefully reviewed and selected from 103 submissions. The papers of this volume are organized in topical sections on AI and medical technology; AI and big data; AI and block chain; AI and education technology; and AI and financial technology.
Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications introduces and explores a variety of schemes designed to empower, enhance, and represent multi-institutional and multi-disciplinary machine learning (ML) and deep learning (DL) research in healthcare paradigms. Serving as a unique compendium of existing and emerging ML/DL paradigms for the healthcare sector, this book demonstrates the depth, breadth, complexity, and diversity of this multi-disciplinary area. It provides a comprehensive overview of ML/DL algorithms and explores the related use cases in enterprises such as computer-aided medical diagnostics, drug discovery and development, medical imaging,...