In Jiading, the imperial court was in a state of turmoil, with smoke rising in all directions in the north, and the imperial government in the south Song Dynasty was in a more peaceful corner, not thinking about going north anymore, and still living a happy life of singing and dancing. Shi Mi Yuan, a powerful official, had killed a famous Gold Resisting Scholar, but after gaining the actual power, he had actually restored the main culprit that had caused the death of King Yue Feiyue. He was reprimanded by the people as an ancient sinner, such as Qin Hui, and his title as a loyal sacrifice had been completely broken for Jin and Mongolia. Resisting the Golden Name Han Ying with this accusation of the crimes of Shi Mi Yuan, Shi Mi Yuan with hatred in his heart, liaising with Han's adversary, Queen Yang, and joining forces to accuse Han Long of having an affair with Jin Guo, selling the owner for honor. Since Song Ning Zong knew Han Yu's character and ignored him, Shi Mi Yuan secretly connected with the Kingdom of Jin to lure experts into the martial world and prepare to make a move against a famous man of his generation. The already restless martial arts world was once again filled with a bloody storm. Close]
Waste Energy Harvesting overviews the latest progress in waste energy harvesting technologies, with specific focusing on waste thermal mechanical energies. Thermal energy harvesting technologies include thermoelectric effect, storage through phase change materials and pyroelectric effect. Waste mechanical energy harvesting technologies include piezoelectric (ferroelectric) effect with ferroelectric materials and nanogenerators. The book aims to strengthen the syllabus in energy, materials and physics and is well suitable for students and professionals in the fields.
Sentiment analysis is the computational study of people's opinions, sentiments, emotions, moods, and attitudes. This fascinating problem offers numerous research challenges, but promises insight useful to anyone interested in opinion analysis and social media analysis. This comprehensive introduction to the topic takes a natural-language-processing point of view to help readers understand the underlying structure of the problem and the language constructs commonly used to express opinions, sentiments, and emotions. The book covers core areas of sentiment analysis and also includes related topics such as debate analysis, intention mining, and fake-opinion detection. It will be a valuable resource for researchers and practitioners in natural language processing, computer science, management sciences, and the social sciences. In addition to traditional computational methods, this second edition includes recent deep learning methods to analyze and summarize sentiments and opinions, and also new material on emotion and mood analysis techniques, emotion-enhanced dialogues, and multimodal emotion analysis.
Black phosphorus (BP)-based two-dimensional (2D) nanomaterials are used as components in practical industrial applications in biomedicine, electronics, and photonics. There is a need to controllably shape engineered scalable structures of 2D BP building blocks, and their assembly/organization is desired for the formation of three-dimensional (3D) forms such as macro and hybrid architectures, as it is expected that these architectures will deliver even better materials performance in applications. Semiconducting Black Phosphorus: From 2D Nanomaterial to Emerging 3D Architecture provides an overview of the various synthetic strategies for 2D BP single-layer nanomaterials, their scalable synthesis, properties, and assemblies into 3D architecture. The book covers defect engineering and physical properties of black phosphorous; describes different strategies for the development of 2D nanostructures of BP with other species such as polymers, organic molecules, and other inorganic materials; offers a comparative study of 3D BP structures with other 3D architectures such as dichalcogenides (TMDs, graphene, and boron nitride); and discusses in detail applications of 3D macrostructures of BP in various fields such as energy, biomedical, and catalysis. This is an essential reference for researchers and advanced students in materials science and chemical, optoelectronic, and electrical engineering.
This book covers the latest progress in the field of transparent ceramics, emphasizing their processing as well as solid-state lasers. It consists of 10 chapters covering the synthesis, characterization and compaction, fundamentals of sintering, densification of transparent ceramics by different methods as well as transparent ceramic applications. This book can be used as a reference for senior undergraduate to postgraduate students, researchers, engineers and material scientists working in solid-state physics.
The aim of Sentiment Analysis is to define automatic tools able to extract subjective information from texts in natural language, such as opinions and sentiments, in order to create structured and actionable knowledge to be used by either a decision support system or a decision maker. Sentiment analysis has gained even more value with the advent and growth of social networking. Sentiment Analysis in Social Networks begins with an overview of the latest research trends in the field. It then discusses the sociological and psychological processes underling social network interactions. The book explores both semantic and machine learning models and methods that address context-dependent and dynamic text in online social networks, showing how social network streams pose numerous challenges due to their large-scale, short, noisy, context- dependent and dynamic nature. Further, this volume: - Takes an interdisciplinary approach from a number of computing domains, including natural language processing, machine learning, big data, and statistical methodologies - Provides insights into opinion spamming, reasoning, and social network analysis - Shows how to apply sentiment analysis tools for a particular application and domain, and how to get the best results for understanding the consequences - Serves as a one-stop reference for the state-of-the-art in social media analytics - Takes an interdisciplinary approach from a number of computing domains, including natural language processing, big data, and statistical methodologies - Provides insights into opinion spamming, reasoning, and social network mining - Shows how to apply opinion mining tools for a particular application and domain, and how to get the best results for understanding the consequences - Serves as a one-stop reference for the state-of-the-art in social media analytics
The Dragon Concealed City had become a hotel waiter, a beautiful CEO who was as cold as an iceberg. a pure and cute nurse, a mature and charming career oneesan, and a peerless cold and charming killer.
In this book, the authors cover the recent progress in the synthesis, characterization and application of various multi-layered carbides, carbonitrides and nitrides. Moreover, the processing and development of MXene-based composites are elaborated, focusing on their applications and performances as transparent conductors in environmental remediation and energy storage systems.
Sentiment analysis and opinion mining is the field of study that analyzes people's opinions, sentiments, evaluations, attitudes, and emotions from written language. It is one of the most active research areas in natural language processing and is also widely studied in data mining, Web mining, and text mining. In fact, this research has spread outside of computer science to the management sciences and social sciences due to its importance to business and society as a whole. The growing importance of sentiment analysis coincides with the growth of social media such as reviews, forum discussions, blogs, micro-blogs, Twitter, and social networks. For the first time in human history, we now have a huge volume of opinionated data recorded in digital form for analysis. Sentiment analysis systems are being applied in almost every business and social domain because opinions are central to almost all human activities and are key influencers of our behaviors. Our beliefs and perceptions of reality, and the choices we make, are largely conditioned on how others see and evaluate the world. For this reason, when we need to make a decision we often seek out the opinions of others. This is true not only for individuals but also for organizations. This book is a comprehensive introductory and survey text. It covers all important topics and the latest developments in the field with over 400 references. It is suitable for students, researchers and practitioners who are interested in social media analysis in general and sentiment analysis in particular. Lecturers can readily use it in class for courses on natural language processing, social media analysis, text mining, and data mining. Lecture slides are also available online. Table of Contents: Preface / Sentiment Analysis: A Fascinating Problem / The Problem of Sentiment Analysis / Document Sentiment Classification / Sentence Subjectivity and Sentiment Classification / Aspect-Based Sentiment Analysis / Sentiment Lexicon Generation / Opinion Summarization / Analysis of Comparative Opinions / Opinion Search and Retrieval / Opinion Spam Detection / Quality of Reviews / Concluding Remarks / Bibliography / Author Biography
Sufficient dimension reduction is a rapidly developing research field that has wide applications in regression diagnostics, data visualization, machine learning, genomics, image processing, pattern recognition, and medicine, because they are fields that produce large datasets with a large number of variables. Sufficient Dimension Reduction: Methods and Applications with R introduces the basic theories and the main methodologies, provides practical and easy-to-use algorithms and computer codes to implement these methodologies, and surveys the recent advances at the frontiers of this field. Features Provides comprehensive coverage of this emerging research field. Synthesizes a wide variety of dimension reduction methods under a few unifying principles such as projection in Hilbert spaces, kernel mapping, and von Mises expansion. Reflects most recent advances such as nonlinear sufficient dimension reduction, dimension folding for tensorial data, as well as sufficient dimension reduction for functional data. Includes a set of computer codes written in R that are easily implemented by the readers. Uses real data sets available online to illustrate the usage and power of the described methods. Sufficient dimension reduction has undergone momentous development in recent years, partly due to the increased demands for techniques to process high-dimensional data, a hallmark of our age of Big Data. This book will serve as the perfect entry into the field for the beginning researchers or a handy reference for the advanced ones. The author Bing Li obtained his Ph.D. from the University of Chicago. He is currently a Professor of Statistics at the Pennsylvania State University. His research interests cover sufficient dimension reduction, statistical graphical models, functional data analysis, machine learning, estimating equations and quasilikelihood, and robust statistics. He is a fellow of the Institute of Mathematical Statistics and the American Statistical Association. He is an Associate Editor for The Annals of Statistics and the Journal of the American Statistical Association.
Rare Earth Metal-Organic Framework Hybrid Materials for Luminescence Responsive Chemical Sensors primarily focuses on rare earth functionalized metal-organic framework (MOF) hybrid materials for sensing applications. Sections cover an introduction to the field and key concepts like luminescence, rare earth ion luminescence and luminescence response for chemical sensing. Other section emphasize the luminescence response mode and sensing mechanisms of these important materials, including single mode and dual mode sensing, as well as chemical sensing mechanisms. Final sections outline different kinds of sensing analytes by rare earth functionalized MOFs hybrids and delve into emerging application. This book is suitable for materials scientists and engineers, materials chemists, chemists and chemical engineers. In addition, the material is appropriate for those working in academia and R&D in industry. - Authored by one of the world's leading experts on rare earth metal-organic framework hybrid materials - Introduces advanced concepts in luminescence and sensing mechanisms of metal-organic framework hybrid materials - Discusses the use of luminescence responsive chemical sensors (based on metal organic frameworks) for logic gate or imaging applications
This book introduces the new paradigm of lifelong and continual learning dialogue systems to endow dialogue systems with the ability to learn continually by themselves through their own self-initiated interactions with their users and the working environments. The authors present the latest developments and techniques for building such continual learning dialogue systems. The book explains how these developments allow systems to continuously learn new language expressions, lexical and factual knowledge, and conversational skills through interactions and dialogues. Additionally, the book covers techniques to acquire new training examples for learning new tasks during the conversation. The book also reviews existing work on lifelong learning and discusses areas for future research.
This book provides a comprehensive text on Web data mining. Key topics of structure mining, content mining, and usage mining are covered. The book brings together all the essential concepts and algorithms from related areas such as data mining, machine learning, and text processing to form an authoritative and coherent text. The book offers a rich blend of theory and practice. It is suitable for students, researchers and practitioners interested in Web mining. Lecturers can readily use it for classes on data mining, Web mining, and Web search. Internet support with lecture slides and project problems is available online.
This book presents an in-depth study and elucidation on the mechanisms of the micro-cutting process, with particular emphasis and a novel viewpoint on materials characterization and its influences on ultra-precision machining. Ultra-precision single point diamond turning is a key technology in the manufacture of mechanical, optical and opto-electronics components with a surface roughness of a few nanometers and form accuracy in the sub-micrometric range. In the context of subtractive manufacturing, ultra-precision diamond turning is based on the pillars of materials science, machine tools, modeling and simulation technologies, etc., making the study of such machining processes intrinsically interdisciplinary. However, in contrast to the substantial advances that have been achieved in machine design, laser metrology and control systems, relatively little research has been conducted on the material behavior and its effects on surface finish, such as the material anisotropy of crystalline materials. The feature of the significantly reduced depth of cut on the order of a few micrometers or less, which is much smaller than the average grain size of work-piece materials, unavoidably means that conventional metal cutting theories can only be of limited value in the investigation of the mechanisms at work in micro-cutting processes in ultra-precision diamond turning.
Holistic medicine is: • A clinical discipline that integrates both Eastern and Western medical methods and knowledge systems into one; • An evidence-based medicine that simultaneously embodies both a holistic approach and personalized principles; • The most straightforward form of medicine that adheres to scientific standards and effectively meets the needs of humanity. In recent years, the integrated research on living organisms initiated by systems biology, along with the efforts of precision medicine to tailor treatment plans based on the individual characteristics of each patient, have opened up the process of modern biology and medicine returning to the ideas of Chinese medical traditions. Under the larger perspective of the development and evolution of Eastern and Western medicine, biology, and even natural science for hundreds of years, this book follows the evolution of modern scientific methods and reveals the inevitable trend of future medicine—holistic medicine. Holistic medicine is a medical system that fully integrates Chinese and Western medical methods and knowledge systems and conforms to scientific norms. It is an evidence-based medicine that embodies the holistic concept and individualized principles. This book outlines the method and theoretical framework of holistic medicine, and provides the method of constructing the theoretical system and using it to achieve the best regulation of diseases. It can be expected that holistic medicine will become the mainstream medicine in the 21st century.
The ability to apply complex theory to practice is a vital skill for acupuncturists. Case studies and medical records are an extremely useful resource for understanding how to differentiate between different syndromes, and provide invaluable precedents for deciding upon appropriate methods of diagnosis and treatment. This book presents a collection of real case studies of patients who have been treated by prominent acupuncture practitioners in China. The case studies are divided into five sub-categories of disease, and include information on the patient's medical history, presenting complaint, symptoms, tongue and pulse examination, diagnosis, treatment, and prescription as well as the Western diagnosis. More than 170 different case studies are included in the book, covering 73 different types of syndromes and disease. A useful appendix with the Chinese and English names for these syndromes is also included. Compiled by leading experts at the China Beijing International Acupuncture Training Center (CBIATC), under the editorial direction of leading Chinese clinicians Zhu Bing and Wang Hongcai, this book is a useful reference for acupuncture practitioners and students at all levels.
Since the appearance of computers, numerical methods for discontinuous solutions of quasi-linear hyperbolic systems of partial differential equations have been among the most important research subjects in numerical analysis. The authors have developed a new difference method (named the singularity-separating method) for quasi-linear hyperbolic systems of partial differential equations. Its most important feature is that it possesses a high accuracy even for problems with singularities such as schocks, contact discontinuities, rarefaction waves and detonations. Besides the thorough description of the method itself, its mathematical foundation (stability-convergence theory of difference schemes for initial-boundary-value hyperbolic problems) and its application to supersonic flow around bodies are discussed. Further, the method of lines and its application to blunt body problems and conical flow problems are described in detail. This book should soon be an important working basis for both graduate students and researchers in the field of partial differential equations as well as in mathematical physics.
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