Complete, balanced resource encompassing all required technical, theoretical, and applied multidisciplinary knowledge related to acoustics Taking a multidisciplinary approach involving fluid mechanics, physics, chemistry, electronics, and the life sciences to provide a unified and competent overview of the field, Acoustic Technologies in Biology and Medicine covers the fundamental principles of acoustic wave generation and propagation, different acoustic systems and technologies with the interplay of physical forces, theoretical foundations, and the state-of-the-art biomedical applications of acoustics. State-of-the-art applications of acoustics in biology and medicine are presented, including single cell and organism manipulation, acoustic biosensing, cancer cell isolation (liquid biopsy), cell/tissue stimulation and ablation, micro-robot actuation, acoustic imaging, and drug delivery. Contributed to and edited by highly qualified professionals with significant experience in the field, Acoustic Technologies in Biology and Medicine covers sample topics such as: Materials for acoustic wave generation and modulation, ultrasound imaging, and photoacoustic imaging and sensing for biomedical applications Therapeutic ultrasound, application of ultrasound responsive reagents for drug delivery systems, and acoustic levitation and acoustic holograms Application of ultrasonic waves in bioparticle manipulation and separation, acoustic biosensors, and acoustic micro and nanorobots in medicine Different technologies of acoustic systems, including bulk and surface acoustic wave-based platforms, acoustic imaging, acoustic sensors, and acoustic levitators A cornerstone reference bridging the gap between rapidly advancing acoustic technologies with state-of-the-art applications in biology and medicine, Acoustic Technologies in Biology and Medicine is an essential resource on the subject for biophysicists, materials scientists, biotechnologists, bioengineers, sensor developers, electronics engineers, and all professionals in the greater biotechnological industry.

By assessing the transition in enterprise-employee relations in China over the six decades since the founding of the nation and the three decades since the implementation of a reform and opening up policy, this book investigates these changes from three key perspectives: occupation, operation and governance. The book chiefly analyzes the unit system structure of enterprises and mechanisms such as apprentice systems inside organizations and proposes a combination of systematic governance and civic governance. Further, it investigates in detail the transition in labor relations in township, state-owned and private enterprises under the contract system, market system and project system, reviews the factors contributing to contradictions in labor relations at different periods, and puts forward options for modifying labor relations in various ways, including their system and structure.

By assessing the transition in enterprise-employee relations in China over the six decades since the founding of the nation and the three decades since the implementation of a reform and opening up policy, this book investigates these changes from three key perspectives: occupation, operation and governance. The book chiefly analyzes the unit system structure of enterprises and mechanisms such as apprentice systems inside organizations and proposes a combination of systematic governance and civic governance. Further, it investigates in detail the transition in labor relations in township, state-owned and private enterprises under the contract system, market system and project system, reviews the factors contributing to contradictions in labor relations at different periods, and puts forward options for modifying labor relations in various ways, including their system and structure.

This book provides the most recent methodological advances in applying advanced modeling techniques to road pricing. Distinguished from other
monographs that have focused on the empirical aspects, policy experiences, and environmental issues of road congestion and road pricing, most studies presented in the book are carried out within the general network equilibrium context with rigorous optimization and economic theories.
Topics discussed in the book include: fundamentals of traffic equilibrium problems; principle of marginal-cost road pricing; models and algorithms
for the general second-best road pricing problems; discriminatory and anonymous road pricing; social and spatial equities; Pareto pricing and revenue refunding schemes; pricing, capacity choice and financing; simultaneous determination of toll levels and locations; sequential pricing experiments with limited information; bounding the efficiency of road pricing; dynamic road pricing.

Valuable for any academic or professional reader interested in or involved in implementing road pricing.

This book addresses the problem of articulatory speech synthesis based on computed vocal tract geometries and the basic physics of sound production in it. Unlike conventional methods based on analysis/synthesis using the well-known source filter model, which assumes the independence of the excitation and filter, we treat the entire vocal apparatus as one mechanical system that produces sound by means of fluid dynamics. The vocal apparatus is represented as a three-dimensional time-varying mechanism and the sound propagation inside it is due to the non-planar propagation of acoustic waves through a viscous, compressible fluid described by the Navier-Stokes equations. We propose a combined minimum energy and minimum jerk criterion to compute the dynamics of the vocal tract during articulation. Theoretical error bounds and experimental results show that this method obtains a close match to the phonetic target positions while avoiding abrupt changes in the articulatory trajectory. The vocal folds are set into aerodynamic oscillation by the flow of air from the lungs. The modulated air stream then excites the moving vocal tract. This method shows strong evidence for source-filter interaction. Based on our results, we propose that the articulatory speech production model has the potential to synthesize speech and provide a compact parameterization of the speech signal that can be useful in a wide variety of speech signal processing problems. Table of Contents: Introduction / Literature Review / Estimation of Dynamic Articulatory Parameters / Construction of Articulatory Model Based on MRI Data / Vocal Fold Excitation Models / Experimental Results of Articulatory Synthesis / Conclusion

The three-volume set LNAI 11439, 11440, and 11441 constitutes the thoroughly refereed proceedings of the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019. The 137 full papers presented were carefully reviewed and selected from 542 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems, and the emerging applications. They are organized in the following topical sections: classification and supervised learning; text and opinion mining; spatio-temporal and stream data mining; factor and tensor analysis; healthcare, bioinformatics and related topics; clustering and anomaly detection; deep learning models and applications; sequential pattern mining; weakly supervised learning; recommender system; social network and graph mining; data pre-processing and feature selection; representation learning and embedding; mining unstructured and semi-structured data; behavioral data mining; visual data mining; and knowledge graph and interpretable data mining.

The three-volume set LNAI 11439, 11440, and 11441 constitutes the thoroughly refereed proceedings of the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019. The 137 full papers presented were carefully reviewed and selected from 542 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems, and the emerging applications. They are organized in the following topical sections: classification and supervised learning; text and opinion mining; spatio-temporal and stream data mining; factor and tensor analysis; healthcare, bioinformatics and related topics; clustering and anomaly detection; deep learning models and applications; sequential pattern mining; weakly supervised learning; recommender system; social network and graph mining; data pre-processing and featureselection; representation learning and embedding; mining unstructured and semi-structured data; behavioral data mining; visual data mining; and knowledge graph and interpretable data mining.

The three-volume set LNAI 11439, 11440, and 11441 constitutes the thoroughly refereed proceedings of the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019. The 137 full papers presented were carefully reviewed and selected from 542 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems, and the emerging applications. They are organized in the following topical sections: classification and supervised learning; text and opinion mining; spatio-temporal and stream data mining; factor and tensor analysis; healthcare, bioinformatics and related topics; clustering and anomaly detection; deep learning models and applications; sequential pattern mining; weakly supervised learning; recommender system; social network and graph mining; data pre-processing and featureselection; representation learning and embedding; mining unstructured and semi-structured data; behavioral data mining; visual data mining; and knowledge graph and interpretable data mining.

The Internet of Things (IoT) refers to the evolution of the internet as the interconnection not just of computers, but also uniquely identifiable, pervasive embedded devices. Research has estimated there will be nearly 30 billion devices on the Internet of Things within the next decade. The implementation and deployment of the IoT brings with it management challenges around seamless integration, heterogeneity, scalability, mobility, security, and many other issues. This book explores these challenges and possible solutions. Topics covered include topology control for building scalable energy efficient IoT; a survey of wireless sensor network operating systems; concepts, designs and implementation of wireless sensor network operating systems; OSIRIS - a framework for sensor-based monitoring systems; modeling and tracing events in RFID-enabled supply chains; a new clone detection approach in RFID-enabled supply chains; participatory sensing networks - a paradigm to achieve IoT applications; market structure analysis of the economics of IoT; and IoT and big data applications for urban planning and building smart cities. This book is essential reading for researchers in academia and industry developing IoT technologies - an interdisciplinary area that brings together researchers in telecommunications, sensor networks, computing and security.