This book highlights how to conduct research in gifted education when researchers have to choose from myriad theoretical ideas, hypotheses, claims, practical models, and strategies. It shows researchers how to build clarity, rigor, and relevance into a research agenda that combats fragmentation and contributes to enhanced theoretical and practical endeavors in the field. Specifically, Paradigms of Gifted Education advocates a paradigmatic approach to conducting research in gifted education and shows how it can be done every step of the way by specifying the essential questions of What?, Why?, Who?, and How? in a coherent manner, and by selecting methods that are appropriate for the question asked and the phase of the research efforts. To facilitate the development of a research agenda, the book identifies three major paradigms of gifted education and 20 essential research questions that would help move the field forward.
Becoming an International Humanitarian Aid Worker draws on the experiences of those currently working and those hiring people to work in humanitarian aid today, and an analysis of job postings over a 9-month period. It provides relevant information and advice to help jobseekers make more informed decisions about what steps to take. It first pushes prospective job seekers to reflect on whether this is the right career path for them. It then provides tried and tested strategies for preparing for a humanitarian career and being competitive in the humanitarian job market, serving as a comprehensive guide for those thinking about a career in international humanitarian aid. - Features advice drawn from an analysis of humanitarian jobs, a survey of aid workers, and interviews with human resource staff and humanitarian professionals - Written in a conversational style with anecdotes, advice and stories from people working in the industry today - Features useful tips and exercises in every chapter to help you put your best foot forward - Provides links to useful and relevant internet resources through a dedicated web page
Hybrid Enhanced Oil Recovery Processes for Heavy Oil Reservoirs, Volume 73 systematically introduces these technologies. As the development of heavy oil reservoirs is emphasized, the petroleum industry is faced with the challenges of selecting cost-effective and environmentally friendly recovery processes. This book tackles these challenges with the introduction and investigation of a variety of hybrid EOR processes. In addition, it addresses the application of these hybrid EOR processes in onshore and offshore heavy oil reservoirs, including theoretical, experimental and simulation approaches. This book will be very useful for petroleum engineers, technicians, academics and students who need to study the hybrid EOR processes, In addition, it will provide an excellent reference for field operations by the petroleum industry. - Introduces emerging hybrid EOR processes and their technical details - Includes case studies to help readers understand the application potential of hybrid EOR processes from different points-of-view - Features theoretical, experimental and simulation studies to help readers understand the advantages and challenges of each process
The brain is omnipresent in bodily functions. Its vast array of responsibilities includes the regulation of all physical movements, memory, learning and emotions, as well as the reception and interpretation of all sensory inputs. These numerous responsibilities require the facility of a very complex organ, and the brain is complex, to say the least. The brain's complexity provides a constant challenge for scientists to explore new theories. Because of the brain's wide-ranging role in bodily functions these studies have an impact on many other realms of science, such as psychology, neurology, and genetics. This book features recent studies from this important field of scientific research.
This book summarizes the recent advances in applications of starch in state-of-the-art drug carriers (hydrogel, micro- and nano-particulate carriers) with stimulus-responsive and target-specific properties. It also highlights the role of starch and its derivatives in transmucosal administration to improve the bioavailability of drugs. Further, it outlines the principles of effective, advanced, starch-based drug delivery systems and illustrates how these principles are key to the development of future drug delivery strategies. This interesting reference resource is useful for students, researchers and engineers in the fields of carbohydrate chemistry, polymer sciences and drug delivery.
Written by an experienced statistics educator and two data scientists, this book unifies conventional statistical thinking and contemporary machine learning framework into a single overarching umbrella over data science. The book is designed to bridge the knowledge gap between conventional statistics and machine learning. It provides an accessible approach for readers with a basic statistics background to develop a mastery of machine learning. The book starts with elucidating examples in Chapter 1 and fundamentals on refined optimization in Chapter 2, which are followed by common supervised learning methods such as regressions, classification, support vector machines, tree algorithms, and range regressions. After a discussion on unsupervised learning methods, it includes a chapter on unsupervised learning and a chapter on statistical learning with data sequentially or simultaneously from multiple resources. One of the distinct features of this book is the comprehensive coverage of the topics in statistical learning and medical applications. It summarizes the authors’ teaching, research, and consulting experience in which they use data analytics. The illustrating examples and accompanying materials heavily emphasize understanding on data analysis, producing accurate interpretations, and discovering hidden assumptions associated with various methods. Key Features: Unifies conventional model-based framework and contemporary data-driven methods into a single overarching umbrella over data science. Includes real-life medical applications in hypertension, stroke, diabetes, thrombolysis, aspirin efficacy. Integrates statistical theory with machine learning algorithms. Includes potential methodological developments in data science.
Introduction to Fuzzy Systems provides students with a self-contained introduction that requires no preliminary knowledge of fuzzy mathematics and fuzzy control systems theory. Simplified and readily accessible, it encourages both classroom and self-directed learners to build a solid foundation in fuzzy systems. After introducing the subject, the authors move directly into presenting real-world applications of fuzzy logic, revealing its practical flavor. This practicality is then followed by basic fuzzy systems theory. The book also offers a tutorial on fuzzy control theory, based mainly on the well-known classical Proportional-Integral-Derivative (PID) controllers theory and design methods. In particular, the text discusses fuzzy PID controllers in detail, including a description of the new notion of generalized verb-based fuzzy-logic control theory. Introduction to Fuzzy Systems is primarily designed to provide training for systems and control majors, both senior undergraduate and first year graduate students, to acquaint them with the fundamental mathematical theory and design methodology required to understand and utilize fuzzy control systems.
This important book includes research derived from non-invasive brain imaging modalities used to explore the spatial and temporal organisation of the neural systems supporting human behaviour. Imaging modalities of interest include positron emission tomography, event-related potentials, electro-and magnetoencephalography, magnetic resonance imaging, and single-photon emission tomography. Coverage includes novel brain imaging methods, analyses for detecting or localising neural activity, synergistic uses of multiple imaging modalities, and strategies for the design of behavioural paradigms and neural-systems modelling.
In our current era of rapidly developing cancer drugs and therapies, we also see improvement of cancer treatment outcomes stagnating when it comes to determining quality of life or long-term survival. This is because while new treatments are making small incremental progress in outcomes, most cancer patients still depend on conventional methods that are both toxic and ineffective. While new cancer drugs are becoming more precise or targeted, less attention is being paid to the overall health and wellbeing of the patient, which we propose is essential for long-term cancer control and improving a patient’s quality of life. Rx for Hope, backed by rigorous science and real-life patient cases, calls for an urgent reevaluation of the current conventional approach to cancer treatments and encourages a progressive treatment model combining metronomic low-dose chemotherapy with complementary integrative medicine. Along with new, breakthrough immunotherapy drugs, these treatments can potentially create a response powerful enough to not only eradicate the presence of cancer but also to prevent it from returning. Because every 23 seconds someone in America is diagnosed with cancer, the number of people affected is growing rapidly. The American Cancer Society estimates that nearly two million new patients will need treatment in the coming year. Judging by current trends and methods of treatment, far too many of these people will be treated without the benefits of low-dose chemotherapy, and even less will enjoy the positive impact of immune-supportive complementary integrative medicine. Rx for Hope offers insight into a powerful way of treating cancer that patients and doctors can implement immediately for optimal results.
This book reviews the history and development of rhizobial ecology (diversity, function and interactions with the biotic and abiotic environments), evolution (genome diversification, systematics of symbiotic genes) and application. Further, it describes the new concept of rhizobia, the latest systematic methods, biogeographic study methods, and genomic studies to identify the interactions between rhizobia, legumes and environments. To enable readers to gain a comprehensive understanding of rhizobial biogeography, the book provides effective protocols for the selection and application of high-efficiency rhizobial inoculants. In addition, it presents standard and modern methods used in studies on rhizobial ecology and evolution in dedicated appendices, making it a unique and valuable handbook for researchers.
This book examines the phenomenon of knowledge celebrities, an emerging group of social media influencers who produce and sell knowledge products online. Its primary goal is to investigate the reasons and strategies behind their ability to attract users and persuade them to purchase knowledge products on digital platforms. With the increasing demand for high-quality content from online users, various platforms have emerged as pay-for-knowledge platforms, allowing knowledge celebrities to monetize their expertise. This book draws on theoretical frameworks from information science, communication, and management to provide insights into this phenomenon and to examine the practices and individuals involved. Building on existing scholarship and analyzing case studies in China, this book presents the background, basic concepts, and understanding of knowledge celebrities. It then explores the three key factors that contribute to the attractiveness of knowledge celebrities, as well as the motivations and mechanisms behind pay-for-knowledge practices. Finally, the book offers a glimpse into the future landscape of knowledge celebrities and pay-for-knowledge platforms. The book will be valuable to scholars, students, and practitioners in information, communication, and media studies. In particular, it will appeal to those interested in topics such as knowledge celebrities, the creator economy, and knowledge management.
A critical thinking approach emphasizing science and applications An award-winning author team challenges students to think critically about the concepts, controversies, and applications of social psychology using abundant tools, both in text and online. (NEW) infographics examine important topics like social class, social media effects, and research methodology. InQuizitive online assessment reinforces fundamental concepts, and PowerPoints, test questions, and (NEW) Concept Videos, will help you create the best course materials in the shortest amount of time. Please note that this version of the ebook does not include access to any media or print supplements that are sold packaged with the printed book.
This book examines three controversial generalizations concerning wh-island effects in Chinese: argument and adjunct asymmetry, subject and object asymmetry, and D-linked and non-D-linked asymmetry. Experiments under the factorial definition of island effects reveal that: (1) both argument and adjunct wh-in-situ are sensitive to the wh-island, displaying no asymmetry; (2) subject wh-in-situ manifests a larger magnitude of island effects, whereas object wh-in-situ shows a smaller size due to the confounding of double name penalty, exhibiting a special pattern of asymmetry; (3) D-linked and non-D-linked who-in-situ evince no asymmetry, while D-linked and non-D-linked what-in-situ demonstrate a marginal asymmetry. Findings support the theory of covert wh-movement on the interpretation of Chinese wh-in-situ. The pattern of wh-island effects can be attributed to the violation of locality principles during wh-feature movement. This book is primarily tailored for researchers interested in the study of Chinese wh-questions and generative linguistics in the broad sense.
This paper presents a new dataset on the dynamics of non-performing loans (NPLs) during 88 banking crises since 1990. The data show similarities across crises during NPL build-ups but less so during NPL resolutions. We find a close relationship between NPL problems—elevated and unresolved NPLs—and the severity of post-crisis recessions. A machine learning approach identifies a set of pre-crisis predictors of NPL problems related to weak macroeconomic, institutional, corporate, and banking sector conditions. Our findings suggest that reducing pre-crisis vulnerabilities and promptly addressing NPL problems during a crisis are important for post-crisis output recovery.
After the invention of a new mechanical element called 'inerter' in 2002, research interest in passive network synthesis has been revived and this field has again become active and essential.The unique compendium highlights the synthesis of passive electrical or mechanical networks, which is motivated by the vibration control based on a new type of mechanical elements named inerter. It introduces important fundamental concepts of passive network synthesis, and presents recent results on this topic.These new results concern mainly the economical realizations of low-degree functions as RLC networks (damper-spring-inerter networks), the synthesis of n-port resistive networks, and the synthesis of low-complexity mechanical networks. They can be directly applied to the optimization and design of various inerter-based mechanical control systems, such as suspension systems, vibration absorbers, building vibration systems, etc.This useful reference text provides important methodologies and results for researchers in the fields of circuit theory, vibration system control, passive systems, control theory, and electrical engineering.
The book highlights the current practices and future trends in structural characterization of impurities and degradants. It begins with an overview of mass spectrometry techniques as related to the analysis of impurities and degradants, followed by studies involving characterization of process related impurities (including potential genotoxic impurities), and excipient related impurities in formulated products. Both general practitioners in pharmaceutical research and specialists in analytical chemistry field will benefit from this book that will detail step-by-step approaches and new strategies to solve challenging problems related to pharmaceutical research.
The liver is a large organ that sits in the right upper abdomen, just under the right lung. It is one of the body's most "intelligent" organs in that it performs so many different functions at the same time. The liver makes proteins, eliminates waste material from the body, produces cholesterol, stores and releases glucose energy and metabolises many drugs used in medicine. It also produces bile that flows through bile ducts into the intestine where it helps to digest food. This organ also has the ability to regenerate itself if it is injured or partially removed. Cirrhosis is scarring of the liver that involves the formation of fibrous (scar) tissue associated with the destruction of the normal architecture of the organ. Many types of chronic injury to the liver can result in scar tissue. This scarring distorts the normal structure and re-growth of liver cells. The flow of blood through the liver from the intestine is blocked and the work done by the liver, such as processing drugs or producing proteins, is hindered. Until recently, the most common cause of cirrhosis of the liver in the United States was attributed to alcohol abuse. Because of the rapid increase of hepatitis C virus infection, hepatitis C has now taken over first place (26%), with alcohol abuse falling to second place, but only slightly behind at 21%. This outstanding book elucidates new and important research results from throughout the world.
The book provides an up-to-date and authoritative treatment of pattern recognition and computer vision, with chapters written by leaders in the field. On the basic methods in pattern recognition and computer vision, topics range from statistical pattern recognition to array grammars to projective geometry to skeletonization, and shape and texture measures. Recognition applications include character recognition and document analysis, detection of digital mammograms, remote sensing image fusion, and analysis of functional magnetic resonance imaging data, etc.
Tzoref-Ashkenazi presents a detailed study of two German regiments which served in India under the British between 1782 and 1791. He asks if the Germans identified with the goals of the British colonial power, how they felt about local people and whether they adopted the colonial ideologies of their British employers.
In the early 1970s, fuzzy systems and fuzzy control theories added a new dimension to control systems engineering. From its beginnings as mostly heuristic and somewhat ad hoc, more recent and rigorous approaches to fuzzy control theory have helped make it an integral part of modern control theory and produced many exciting results. Yesterday's "art
This book summarizes the current knowledge of anthocyanins, provides systematic information for future exploration of anthocyanin applications. It focuses on several aspects regarding the studying progression in the field of anthocyanins. The first section of the book provides a brief introduction to the scope and progress on anthocyanins, which is followed by the second section that describes the natural sources, structure, extraction approaches, bioavailability, and current stabilizing approach of anthocyanins. Then in the third part, the book focuses on the industrial processing of anthocyanins in foods by discussing the impact of food processing on anthocyanin structure and composition as well as classical processing techniques on anthocyanin-containing foods, including high-pressure, encapsulation, microwave, and combined application of the above techniques. In the last section of the book, the authors explore the currently most popular application of anthocyanins in improving human health, such as the effect of anthocyanin on vision, metabolism, neural system, cardiovascular system, and cancers. The book will facilitate readers’ understanding of the progress of anthocyanin studies. And it will benefit researchers and graduate students in the fields of natural products, functional food, and nutrition, etc.
A major force in East Asia's remarkable economic growth and industrial transformation, foreign direct investment has been growing at 14?15 percent annually in Southeast Asia and China over the last decade. This timely volume examines the impact of investment on trade in the region, focusing especially on microeconomic issues of strategy, activity, and behavior of corporate investors. The contributors explore the role of corporate alliances and networks of Japanese and Chinese firms, as well as the influence of investors from newly industrializing economies, in the relocation of production and trade within the region.
This book offers an in-depth and systematic introduction to improved failure mode and effects analysis (FMEA) methods for proactive healthcare risk analysis. Healthcare risk management has become an increasingly important issue for hospitals and managers. As a prospective reliability analysis technique, FMEA has been widely used for identifying and eliminating known and potential failures in systems, designs, products or services. However, the traditional FMEA has a number of weaknesses when applied to healthcare risk management. This book provides valuable insights into useful FMEA methods and practical examples that can be considered when applying FMEA to enhance the reliability and safety of the healthcare system. This book is very interesting for practitioners and academics working in the fields of healthcare risk management, quality management, operational research, and management science and engineerin. It can be considered as the guiding document for how a healthcare organization proactively identifies, manages and mitigates the risk of patient harm. This book also serves as a valuable reference for postgraduate and senior undergraduate students.
This unique professional volume is about the recent advances in the lattice Boltzmann method (LBM). It introduces a new methodology, namely the simplified and highly stable lattice Boltzmann method (SHSLBM), for constructing numerical schemes within the lattice Boltzmann framework. Through rigorous mathematical derivations and abundant numerical validations, the SHSLBM is found to outperform the conventional LBM in terms of memory cost, boundary treatment and numerical stability.This must-have title provides every necessary detail of the SHSLBM and sample codes for implementation. It is a useful handbook for scholars, researchers, professionals and students who are keen to learn, employ and further develop this novel numerical method.
The food industry has seen many changes over the last several decades — new technologies have been introduced into the way we cook, manufacture, and present food products to consumers. Digital gastronomy, which combines new computational abilities such as three-dimensional (3D) printing with traditional food preparation, has allowed consumers to design and manufacture food with personalized shapes, colours, textures, and even nutrition. In addition to the personalization of food, 3D printing of food has other advantages such as promoting automation in food preparation and food sustainability through 3D-printed cell-based meats and alternative proteins. Entire meals can be constructed just by 3D food printing alone.In this textbook, the background, principles, commercial food printers, materials, regulations, business development, as well as the emerging technologies and future outlook of 3D food printing are explored. In terms of 3D-printed materials, four main classes are reviewed: namely, desserts / snacks (comprising dairy products, chocolate, sugars, and dough), fruits / vegetables, meats /alternative proteins, and pharmaceuticals / nutraceuticals.This textbook has been written to offer readers keen to learn more about 3D food printing in terms of concepts, processes, applications, and developments of 3D food printing. No prior knowledge is required. At the end of each chapter, a set of problems offers undergraduate and postgraduate students practice on the main ideas discussed within the chapter. For tertiary-level lecturers and university professors, the topic on 3D food printing can be associated to other subjects in food and nutrition, pharmaceutical and nutraceutical sciences, and food engineering.Related Link(s)
Gene Therapy for Cartilage and Bone Tissue Engineering" outlines the tissue engineering and possible applications of gene therapy in the field of biomedical engineering as well as basic principles of gene therapy, vectors and gene delivery, specifically for cartilage and bone engineering. It is intended for tissue engineers, cell therapists, regenerative medicine scientists and engineers, gene therapist and virologists. Dr. Yu-Chen Hu is a Distinguished Professor at the Department of Chemical Engineering, National Tsing Hua University and has received the Outstanding Research Award (National Science Council), Asia Research Award (Society of Chemical Engineers, Japan) and Professor Tsai-Teh Lai Award (Taiwan Institute of Chemical Engineers). He is also a fellow of the American Institute for Medical and Biological Engineering (AIMBE) and a member of the Tissue Engineering International & Regenerative Medicine Society (TERMIS)-Asia Pacific Council.
Computer-based infectious disease surveillance systems are capable of real-time or near real-time detection of serious illnesses and potential bioterrorism agent exposures and represent a major step forward in disease surveillance. Infectious Disease Informatics: Syndromic Surveillance for Public Health and Bio-Defense is an in-depth monograph that analyzes and evaluates the outbreak modeling and detection capabilities of existing surveillance systems under a unified framework, and presents the first book-length coverage of the subject from an informatics-driven perspective. Individual chapters consider the state of the art, including the facilitation of data collection, sharing and transmission; a focus on various outbreak detection methods; data visualization and information dissemination issues; and system assessment and other policy issues. Eight chapters then report on several real-world case studies, summarizing and comparing eight syndromic surveillance systems, including those that have been adopted by many public health agencies (e.g., RODS and BioSense). The book concludes with a discussion of critical issues and challenges, with a look to future directions. This book is an excellent source of current information for researchers in public health and IT. Government public health officials and private-sector practitioners in both public health and IT will find the most up-to-date information available, and students from a variety of disciplines, including public health, biostatistics, information systems, computer science, and public administration and policy will get a comprehensive look at the concepts, techniques, and practices of syndromic surveillance.
We live in an age of rapid technological development. The Internet already affects our lives in many ways. Indeed, we continue to depend more, and more intrinsically, on the Internet, which is increasingly becoming a fundamental piece of societal infrastructure, just as water supply, electricity grids, and transportation networks have been for a long time. But while these other infrastructures are relatively static, the Internet is undergoing swift and fundamental change: Notably, the Internet is going mobile. The world has some 6.7 billion humans, 4 billion mobile phones, and 1.7 billion Internet users. The two most populous continents, Asia and Africa, have relatively low Internet penetration and hold the greatest potentials for growth. Their mobile phone users by far outnumber their Internet users, and the numbers are growing rapidly. China and India are each gaining about half a dozen million new phone users per month. Users across the globe as a whole increasingly embrace mobile Internet devices, with smart phone sales are starting to outnumber PC sales. Indeed, these and other facts suggest that the Internet stands to gain a substantial mobile component. This mega trend towards “mobile” is enabled by rapid and continuing advances in key technology areas such as mobile communication, consumer electronics, g- positioning, and computing. In short, this is the backdrop for this very timely book on moving objects by Xiaofeng Meng and Jidong Chen.
Chen, He and Yan present a range of applications of multiple-source big data to core areas of contemporary sociology, demonstrating how a theory-guided approach to macrosociology can help to understand social change in China, especially where traditional approaches are limited by constrained and biased data. In each chapter of the book, the authors highlight an application of theory-guided macrosociology that has the potential to reinvigorate an ambitious, open-minded and bold approach to sociological research. These include social stratification, social networks, medical care, and online behaviours among many others. This research approach focuses on macro-level social process and phenomena by using quantitative models to statistically test for associations and causalities suggested by a clearly hypothesised social theory. By deploying theory-oriented macrosociology where it can best assure macro-level robustness and reliability, big data applications can be more relevant to and guided by social theory. An essential read for sociologists with an interest in quantitative and macro-scale research methods, which also provides fascinating insights into Chinese society as a demonstration of the utility of its methodology.
The major progress in computer vision allows us to make extensive use of medical imaging data to provide us better diagnosis, treatment and predication of diseases. Computer vision can exploit texture, shape, contour and prior knowledge along with contextual information from image sequence and provide 3D and 4D information that helps with better human understanding. Many powerful tools have been available through image segmentation, machine learning, pattern classification, tracking, reconstruction to bring much needed quantitative information not easily available by trained human specialists. The aim of the book is for both medical imaging professionals to acquire and interpret the data, and computer vision professionals to provide enhanced medical information by using computer vision techniques. The final objective is to benefit the patients without adding to the already high medical costs.
This dissertation is an attempt to define a Chinese "modernism," exemplified by the narrative practices of four major writers in Taiwan today, from the perspective of comparative literature and recent development of literary theory. I propose that modernity of Taiwanese fiction is not so much a result of Western influences as an evolution of Chinese narrative tradition itself. To argue my point I delineate a poetics of Chinese narrative, from which I devise a method of reading and a criterion of evaluation for contemporary Taiwanese fiction in defining its achievement and historical significance. This study of Taiwanese fiction also aims at providing a better understanding of fundamental aesthetic assumptions of Western "modernism" in the context of its own literary tradition. Chapter One, "Introduction," investigates the theoretical foundation and its line of development in Western and Chinese poetics respectively. It first examines the Platonic view of mimesis and Aristotelian aesthetic view of fictionality and their influence on the critical tradition, the continuity of the ancient battle between philosophy and poetry as seen in the structuralist and deconstructionist theories, then the relationship between subjective fictionality and ironic objectivity in Chinese poetics, the continuity of the dilemma in the Chinese novelists in their dual allegiance to the ideal and the real. A final section gives a critical overview of the literary scene in Taiwan. The following four chapters provide examples of the internal tension between fictionality and ironic awareness in the Taiwanese modernist texts. I suggest that instead of stretching the metaphorical potential of fiction to a highly intellectualized abstraction or playing down the interpretive claims of fiction by dramatizing its vulnerability like their Western counterpart, the Taiwanese modernists create their texts on the borderline between the high and the low. Self-assertive as well as self-denying, each of them confronts his own intellectual vision with paradox and ambivalence. In Ch'en Ying-chen, this is expressed as a battle between a lyrical vision of ideological values and an instinctive self-clowning, in Ch'i-teng Sheng, as a form of competition between pattern and contingency, in Wang Chen-ho, as a celebration and abuse of the fictionality of fiction, and in Wang Wen-hsing, an intense self-parody. I conclude that the sensitivity to the irrational and contradiction, inherent with a resistance to didacticism, constitutes the best part of the Chinese humanistic tradition, which is continuously enriched with new dimensions by the contemporary Taiwanese writers.
This brief explores current research on dynamic spectrum auctions, focusing on fundamental auction theory, characteristics of the spectrum market, spectrum auction architecture and possible auction mechanisms. The brief explains how dynamic spectrum auctions, which enable new users to gain spectrum access and existing spectrum owners to obtain financial benefits, can greatly improve spectrum efficiency by resolving the artificial spectrum shortage. It examines why operators and users face significant challenges due to specialty of the spectrum market and the related requirements imposed on the auction mechanism design. Concise and up-to-date, Dynamic Spectrum Auction in Wireless Communication is designed for researchers and professionals in computer science or electrical engineering. Students studying networking will also find this brief a valuable resource.
This book offers a thorough and systematic introduction to the modified failure mode and effect analysis (FMEA) models based on uncertainty theories (e.g. fuzzy logic, intuitionistic fuzzy sets, D numbers and 2-tuple linguistic variables) and various multi-criteria decision making (MCDM) approaches such as distance-based MCDM, compromise ranking MCDM and hybrid MCDM, etc. As such, it provides essential FMEA methods and practical examples that can be considered in applying FMEA to enhance the reliability and safety of products and services. The book offers a valuable guide for practitioners and researchers working in the fields of quality management, decision making, information science, management science, engineering, etc. It can also be used as a textbook for postgraduate and senior undergraduate students.
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