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Multi-Modality Neuroimaging Study on Neurobiological Mechanisms of Acupuncture
This book introduces essential advances in acupuncture studies using multi-modality neuroimaging, which provides insights into how specific brain networks are involved in acupuncture effects in humans. Stimulating different acupoints to treat various clinical conditions is usually accompanied by multi-dimensional physiological as well as psychological responses, which are regulated by the central nervous system. The book addresses disease-specific neural correlates and acupuncture-targeted regulatory encoding in the brain, and explains the temporal-spatial encoding in brain networks to clarify the acupuncture mechanisms. By highlighting the targeting mechanisms of typical indications of acupuncture, this book provides a scientific explanation for acupuncture therapy.
Machine Learning for Cyber Security
This three volume book set constitutes the proceedings of the Third International Conference on Machine Learning for Cyber Security, ML4CS 2020, held in Xi’an, China in October 2020. The 118 full papers and 40 short papers presented were carefully reviewed and selected from 360 submissions. The papers offer a wide range of the following subjects: Machine learning, security, privacy-preserving, cyber security, Adversarial machine Learning, Malware detection and analysis, Data mining, and Artificial Intelligence.
Chinese Maritime Cases
This book selects leading, innovative and influential Chinese maritime judgments and presents full translation of them, with brief summary, to the readers so that they can have insights of how the Chinese maritime judges interpret, apply and develop Chinese maritime law in practice. China trades with other states in trillions of USD every year, and about 95% of the cargoes are carried by ocean-going ships calling at hundreds of Chinese ports each single day. Due to the enormous and steadily growing trade volume and shipping activities, foreign ships, companies and persons are often caught by the Chinese maritime law and court. The parties involved and their lawyers are more than ever enthusi...
Data Mining and Big Data
This two-volume set, CCIS 1453 and CCIS 1454, constitutes refereed proceedings of the 6th International Conference on Data Mining and Big Data, DMBD 2021, held in Guangzhou, China, in October 2021. The 57 full papers and 28 short papers presented in this two-volume set were carefully reviewed and selected from 258 submissions. The papers present the latest research on advantages in theories, technologies, and applications in data mining and big data. The volume covers many aspects of data mining and big data as well as intelligent computing methods applied to all fields of computer science, machine learning, data mining and knowledge discovery, data science, etc.
Evidence-Based Advance and Management of Drug Treatment of Infectious Diseases
Infectious diseases are caused by microorganisms that release toxins or invade body tissues. The most common pathogenic organisms are bacteria, viruses, fungi, protozoa, and helminths. Systemic infections usually cause fevers, chills, sweats, malaise, and occasionally headache, muscle and joint pain, or changes in mental status, and even septic shock-MODS. Infectious diseases have always threatened populations and caused great loss of life in history, but since the last century, with the discovery of antibiotics, historical trends have been reversed. It is reported that between 1990 and 2017, age-standardized disability-adjusted life year (DALY) rates decreased by 41.3% (38.8-43.5) for infec...
Fuzzy Information and Engineering
The Second International Conference on Fuzzy Information and Engineering (ICFIE2007) is a major symposium for scientists, engineers and practitioners in China as well as the world to present their latest results, ideas, developments and applications in all areas of fuzzy information and knowledge engineering. It aims to strengthen relations between industry research laboratories and universities, and to create a primary symposium for world scientists.
Integration of AI-Based Manufacturing and Industrial Engineering Systems with the Internet of Things
Integration of AI-Based Manufacturing and Industrial Engineering Systems with the Internet of Things describes how AI techniques, such as deep learning, cognitive computing, and Machine Learning, can be used to analyze massive volumes of data produced by IoT devices in manufacturing environments. The potential benefits and challenges associated with the integration of AI and IoT in industrial environments are explored throughout the book as the authors delve into various aspects of the integration process. The role of IoT-enabled sensors, actuators, and smart devices in capturing real-time data from manufacturing processes, supply chains, and equipment is discussed along with how data can be processed and analyzed using AI algorithms to derive actionable insights, optimize production, improve quality control, and enhance overall operational efficiency. A valuable resource for researchers, practitioners, and professionals involved in the fields of AI, IoT, manufacturing systems, and industrial engineering, and combines theoretical foundations, practical applications, and case studies.
Selfless Offspring
Both Western and Chinese intellectuals have long derided filial piety tales as an absurd and grotesque variety of children’s literature. Selfless Offspring offers a fresh perspective on the genre, revealing the rich historical worth of these stories by examining them in their original context: the tumultuous and politically fragmented early medieval era (A.D. 100–600). At a time when no Confucian virtue was more prized than filial piety, adults were moved and inspired by tales of filial children. The emotional impact of even the most outlandish actions portrayed in the stories was profound, a measure of the directness with which they spoke to major concerns of the early medieval Chinese ...
