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This book presents a comprehensive review of the Chinese and European responses to the abuse of market dominance, with a focus on the impact of antitrust institutional dynamics on enforcement decisions. It uses the methods of functional comparison and case analysis to investigate how theories of harm relating to specific types of abuse differ within and across competition law regimes due to institutional dynamics. The Chinese and EU competition law regimes serve as excellent examples for this investigation because they have similar substantive laws on paper but vastly different institutional settings. The book examines—first individually and then comparatively—how the distinct institutional dynamics in the Chinese and EU regimes shape the development of theories of harm. This volume will appeal to competition law scholars, students, and practitioners seeking a more nuanced understanding of how competition law works in the EU and China. It will also interest scholars trying to approach the Chinese legal system from an engaging rather than alienating standpoint.
Viral infections in animals occasionally develop potentially fatal diseases that affect almost all organs. Especially in zoonotic diseases, the causative agents that usually exist in animals can be transmitted between animal species to humans directly or via a vector. Throughout recent history, disease outbreaks and pandemics including SARS, H7N9, Ebola, and COVID-19, have led to a dramatic loss of human life worldwide and harmed economic growth. The most effective strategies for the control of disease are vaccination and early diagnosis. Vaccines directed against viral and bacterial pathogens prevent catastrophic losses of life in humans, other animals, and plants, and are considered among ...
This book presents the proceedings of the 24th European Conference on Artificial Intelligence (ECAI 2020), held in Santiago de Compostela, Spain, from 29 August to 8 September 2020. The conference was postponed from June, and much of it conducted online due to the COVID-19 restrictions. The conference is one of the principal occasions for researchers and practitioners of AI to meet and discuss the latest trends and challenges in all fields of AI and to demonstrate innovative applications and uses of advanced AI technology. The book also includes the proceedings of the 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020) held at the same time. A record number of ...
In the history of Chinese calligraphy, few are more famous than the eighth-century statesman Yan Zhenqing (709-785). His style is still taught today as a standard, and Chinese bookstores the world over stock inexpensive reproductions of his works for sale as copybooks. Yet Yan's style cannot be called conventionally attractive. "Correct," "severe," "serious," "forceful" are terms habitually applied to describe his writing--rarely has his calligraphy been called graceful or beautiful. How, then, did Yan earn such an eminent place in the history of art? In The Upright Brush, Amy McNair argues for the political rather than purely aesthetic basis for Yan Zhenqing's artistic reputation. She shows...
This book collects a selection of papers presented at ELECTRIMACS 2019, the 13th international conference of the IMACS TC1 Committee, held in Salerno, Italy, on 21st-23rd May 2019. The conference papers deal with modelling, simulation, analysis, control, power management, design optimization, identification and diagnostics in electrical power engineering. The main application fields include electric machines and electromagnetic devices, power electronics, transportation systems, smart grids, electric and hybrid vehicles, renewable energy systems, energy storage, batteries, supercapacitors and fuel cells, and wireless power transfer. The contributions included in Volume 1 are particularly focused on electrical engineering simulation aspects and innovative applications.
Video has rich information including meta-data, visual, audio, spatial and temporal data which can be analysed to extract a variety of low and high-level features to build predictive computational models using machine-learning algorithms to discover interesting patterns, concepts, relations, and associations. This book includes a review of essential topics and discussion of emerging methods and potential applications of video data mining and analytics. It integrates areas like intelligent systems, data mining and knowledge discovery, big data analytics, machine learning, neural network, and deep learning with focus on multimodality video analytics and recent advances in research/applications...
This book is a collection of accepted papers that were presented at the International Conference on Communication and Computing Systems (ICCCS-2016), Dronacharya College of Engineering, Gurgaon, September 9–11, 2016. The purpose of the conference was to provide a platform for interaction between scientists from industry, academia and other areas of society to discuss the current advancements in the field of communication and computing systems. The papers submitted to the proceedings were peer-reviewed by 2-3 expert referees. This volume contains 5 main subject areas: 1. Signal and Image Processing, 2. Communication & Computer Networks, 3. Soft Computing, Intelligent System, Machine Vision and Artificial Neural Network, 4. VLSI & Embedded System, 5. Software Engineering and Emerging Technologies.
This book gathers papers presented at the International Joint Conference on Mechanics, Design Engineering and Advanced Manufacturing (JCM 2016), held on 14-16 September, 2016, in Catania, Italy. It reports on cutting-edge topics in product design and manufacturing, such as industrial methods for integrated product and process design; innovative design; and computer-aided design. Further topics covered include virtual simulation and reverse engineering; additive manufacturing; product manufacturing; engineering methods in medicine and education; representation techniques; and nautical, aeronautics and aerospace design and modeling. The book is divided into eight main sections, reflecting the focus and primary themes of the conference. The contributions presented here will not only provide researchers, engineers and experts in a range of industrial engineering subfields with extensive information to support their daily work; they are also intended to stimulate new research directions, advanced applications of the methods discussed, and future interdisciplinary collaborations.
The understanding and interpretation of complex 3D environments is a key challenge of autonomous driving. Lidar sensors and their recorded point clouds are particularly interesting for this challenge since they provide accurate 3D information about the environment. This work presents a multimodal approach based on deep learning for panoptic segmentation of 3D point clouds. It builds upon and combines the three key aspects multi view architecture, temporal feature fusion, and deep sensor fusion.