Tabla de Contenidos: “…3.3 Extended Defects in Homoepitaxial Layers -- 3.3.1 Classification of Extended Defects According to Glide Systems in 4H‐SiC -- 3.3.2 Dislocation Reactions During Epitaxial Growth -- 3.3.3 Characterization Methods for Extended Defects in 4H‐SiC Epilayers -- 3.4 Point Defects and Carrier Lifetime in Epilayers -- 3.4.1 Classification and General Properties of Point Defects in 4H‐SiC -- 3.4.2 Basics on Recombination Carrier Lifetime in 4H‐SiC -- 3.4.3 Carrier Lifetime‐Affecting Point Defects -- 3.4.4 Carrier Lifetime Measurement in Epiwafers and Devices -- 3.5 Conclusion -- Acknowledgments -- References -- Chapter 4 Industrial Perspective of SiC Epitaxy -- 4.1 Introduction -- 4.2 Background -- 4.3 The Basics of SiC Epitaxy -- 4.4 SiC Epi Historical Origins -- 4.5 Planetary Multi‐wafer Epitaxial Reactor Design Considerations -- 4.5.1 Rapidly Rotating Reactors -- 4.5.2 Horizontal Hot‐Wall Reactors -- 4.6 Latest High‐Throughput Epitaxial Reactor Status -- 4.7 Benefits and Challenges for Increasing Growth Rate in all Reactors -- 4.8 Increasing Wafer Diameters, Device Processing Considerations, and Projections -- 4.9 Summary -- Acknowledgment -- References -- Chapter 5 Status of 3C‐SiC Growth and Device Technology -- 5.1 Introduction, Motivation, Short Review on 3C‐SiC -- 5.2 Nucleation and Epitaxial Growth of 3C‐SC on Si -- 5.2.1 Growth Process -- 5.2.2 Defects -- 5.2.3 Stress -- 5.3 Bulk Growth of 3C‐SiC -- 5.3.1 Sublimation Growth of (111)‐oriented 3C‐SiC on Hexagonal SiC Substrates -- 5.3.2 Sublimation Growth of 3C‐SiC on 3C‐SiC CVD Seeding Layers -- 5.3.3 Continuous Fast CVD Growth of 3C‐SiC on 3C‐SiC CVD Seeding Layers -- 5.4 Processing and Testing of 3C‐SiC Based Power Electronic Devices -- 5.4.1 Prospects for 3C‐SiC Power Electronic Devices -- 5.4.2 3C‐SiC Device Processing -- 5.4.3 MOS Processing -- 5.4.4 3C‐SiC/SiO2 Interface Passivation…”

Tabla de Contenidos: “…3.3.2 Financial Liberalization in the Post Bretton Woods Era -- 3.4 Stylized Behaviour of Macroeconomic Variables During Episodes of Financial Crises -- 3.4.1 Financial Market Variables -- 3.4.1.1 Monetary Aggregates and Foreign Exchange Reserves -- 3.4.1.2 Deposits and Domestic Credit -- 3.4.1.3 Interest Rates -- 3.4.1.4 Equity and Real Estate Prices -- 3.4.2 Current Account Variables -- 3.4.3 Capital Account Variables -- 3.4.4 Real Sector Variables -- 3.4.5 Balance Sheet Variables -- 3.4.5.1 Liquidity and Profit Variables -- 3.4.5.2 Market Valuation and Solvency Variables -- 3.4.6 An Assessment -- 3.5 Standard Theory of Financial Crises and its Correspondence with the Stylized Facts -- 3.5.1 Inconsistent Macroeconomic Policy Models -- 3.5.2 Self-Fulfilling Expectations Models -- 3.5.3 Asymmetric Information Models -- 3.5.4 Credit Constraint and Balance Sheet Models -- 3.5.5 Endogenous Financial Crisis Models -- 3.5.6 An Assessment -- II A Cyclical Theory of Financial Crises -- 4 A Model of Financial Crises and Endogenous Fluctuations in Industrial Countries -- 4.1 The Real Side -- 4.2 The Financial Side -- 4.2.1 A Stylized Financial Structure -- 4.2.2 Financial Market Equilibria -- 4.3 Short-Run Comparative-Static Analysis -- 4.3.1 General Results -- 4.3.2 A Comparative-Static View of Financial Crises -- 4.4 Long-Run Dynamic Analysis -- 4.4.1 Finance, Investment and Long-Run Profit Expectations -- 4.4.2 The Local Dynamics of the System -- 4.4.3 Phase Diagram Analysis -- 4.4.4 The Global Dynamics of the System -- 4.4.5 A Dynamic View of Financial Crises and Macroeconomic Fluctuations -- 4.4.5.1 The Emergence of Endogenous Long-Run Equilibrium Business Cycles -- 4.4.5.2 The Emergence of Financial Crises -- 4.4.6 A Keynesian Perspective on Global Dynamics -- 4.5 A Comparison with Standard Theory of Financial Crises…”

Tabla de Contenidos: “…2.1 Introduction -- 2.2 Multi‐tier Computing Networks and Service Architecture -- 2.2.1 Multi‐tier Computing Network Architecture -- 2.2.2 Cost Aware Task Scheduling Framework -- 2.2.2.1 Hybrid Payment Model -- 2.2.2.2 Weighted Cost Function -- 2.2.2.3 Distributed Task Scheduling Algorithm -- 2.2.3 Fog as a Service Technology -- 2.2.3.1 FA2ST Framework -- 2.2.3.2 FA2ST Application Deployment -- 2.2.3.3 FA2ST Application Management -- 2.3 Edge‐enabled Intelligence for Industrial IoT -- 2.3.1 Introduction and Background -- 2.3.1.1 Intelligent Industrial IoT -- 2.3.1.2 Edge Intelligence -- 2.3.1.3 Challenges -- 2.3.2 Boomerang Framework -- 2.3.2.1 Framework Overview -- 2.3.2.2 Prediction Model and Right‐sizing Model -- 2.3.2.3 Boomerang Optimizer -- 2.3.2.4 Boomerang with DRL -- 2.3.3 Performance Evaluation -- 2.3.3.1 Emulation Environment -- 2.3.3.2 Evaluation Results -- 2.4 Fog‐enabled Collaborative SLAM of Robot Swarm -- 2.4.1 Introduction and Background -- 2.4.2 A Fog‐enabled Solution -- 2.4.2.1 System Architecture -- 2.4.2.2 Practical Implementation -- 2.5 Conclusion -- References -- Chapter 3 Cross‐Domain Resource Management Frameworks -- 3.1 Introduction -- 3.2 Joint Computation and Communication Resource Management for Delay‐Sensitive Applications -- 3.2.1 2C Resource Management Framework -- 3.2.1.1 System Model -- 3.2.1.2 Problem Formulation -- 3.2.2 Distributed Resource Management Algorithm -- 3.2.2.1 Paired Offloading of Non‐splittable Tasks -- 3.2.2.2 Parallel Offloading of Splittable Tasks -- 3.2.3 Delay Reduction Performance -- 3.2.3.1 Price of Anarchy -- 3.2.3.2 System Average Delay -- 3.2.3.3 Number of Beneficial TNs -- 3.2.3.4 Convergence -- 3.3 Joint Computing, Communication, and Caching Resource Management for Energy‐efficient Applications -- 3.3.1 Fog‐enabled 3C Resource Management Framework -- 3.3.1.1 System Resources…”

Tabla de Contenidos: “…Influence of Machine Learning Technique in Unmanned Aerial Vehicle -- 3.1 Introduction to Unmanned Aerial Vehicle -- 3.2 UAV in Industry 5.0 -- 3.3 Drone Ecosystem in the Machine Learning Industry -- 3.3.1 Computers and Wireless Networks -- 3.3.2 Sustainable Smart Cities and Military Facilities -- 3.3.3 Farming -- 3.3.4 Others -- 3.4 Market Analysis -- 3.4.1 Machine Learning-Assisted Framework -- 3.4.2 Learning Models -- 3.4.3 Challenges in the Current Research Work -- 3.5 Conclusion -- Acknowledgment -- References -- 4. …”

Tabla de Contenidos: “…3.2.7 Spectrum allocation and user association in 5G HetNet mmWave communication: a coordinated framework -- 3.2.8 Diverse service provisioning in 5G and beyond: an intelligent self-sustained radio access network slicing framework -- 3.3 Device-to-Device communication in 5G HetNets -- 3.4 Machine-to-Machine communication in 5G HetNets -- 3.4.1 Machine-to-Machine communication in 5G: state of the art architecture, recent advances and challenges -- 3.4.2 Recent advancement in the Internet of Things related standard: oneM2M perspective -- 3.4.2.1 Advantages of oneM2M -- 3.4.2.2 OneM2M protocols -- 3.4.2.3 OneM2M standard platform: a unified common service-oriented communication framework -- 3.4.3 M2M traffic in 5G HetNets -- 3.4.4 Distributed gateway selection for M2M communication cognitive 5G5G networks -- 3.4.5 Algorithm for clusterization, aggregation, and prioritization of M2M devices in 5G5G HetNets -- 3.5 Heterogeneity and interoperability -- 3.5.1 User interoperability -- 3.5.1.1 Locating the device through identification and classification -- 3.5.1.2 Syntactic and semantic interoperability for interconnecting devices -- 3.5.2 Device interoperability -- 3.6 Research issues and challenges -- 3.6.1 Resource allocation -- 3.6.2 Interference management -- 3.6.3 Power allocation -- 3.6.4 User association -- 3.6.5 Computational complexity and multiaccess edge computing -- 3.6.6 Current research in HetNet based on various technologies -- 3.7 Smart healthcare using 5G5G Inter of Things: a case-study -- 3.7.1 Mobile cellular network architecture: 5th generation -- 3.7.1.1 5G5G system architecture -- 3.7.1.2 Master core technology -- 3.7.2 ZigBee IP -- 3.7.3 Healthcare system architecture using wireless sensor network and mobile cellular network -- 3.7.3.1 System protocol -- 3.7.3.2 Data transmission by 5G terminal in ZigBee network…”

Tabla de Contenidos: “…-- 11.7 Fractal Markets -- 11.7.1 Efficient Market Hypothesis (EMH) -- 11.7.2 Fractal Market Hypothesis (FMH) -- 11.7.3 Predicting Collapse -- 11.8 The Threat is Existential -- 11.9 Discussion -- References -- Chapter 12 Banking and Finance: Strategies for a Changing World -- 12.1 Whole of Government -- 12.2 Risk and Resilience -- 12.3 Complex and Emergent CIKR -- 12.3.1 Communications and IT -- 12.3.2 Internet and Cybersecurity -- 12.4 Surveillance Capitalism -- 12.5 Industrial Control Systems…”

Tabla de Contenidos: “…3.4.2 Open Interest and Cumulative Open Interest -- 3.4.3 Validation -- 3.4.4 Case Study with Live Market Data -- 3.5 OI in Option Contracts -- 3.5.1 Decoding Buyer or Seller in Option Chain -- 3.5.2 Put-Call Ratio (PCR) -- 3.5.3 Detection of Anomaly in Stock Price -- 3.6 Conclusion -- References -- Chapter 4 Stock Market Predictions Using Deep Learning: Developments and Future Research Directions -- 4.1 Background and Introduction -- 4.1.1 Machine Learning -- 4.1.2 About Deep Learning -- 4.2 Studies Related to the Current Work, i.e., Literature Review -- 4.3 Objective of Research and Research Methodology -- 4.4 Results and Analysis of the Selected Papers -- 4.5 Overview of Data Used in the Earlier Studies Selected for the Current Research -- 4.6 Data Source -- 4.7 Technical Indicators -- 4.7.1 Other (Advanced Technical Indicators) -- 4.8 Stock Market Prediction: Need and Methods -- 4.9 Process of Stock Market Prediction -- 4.10 Reviewing Methods for Stock Market Predictions -- 4.11 Analysis and Prediction Techniques -- 4.12 Classification Techniques (Also Called Clustering Techniques) -- 4.13 Future Direction -- 4.13.1 Cross-Market Evaluation or Analysis -- 4.13.2 Various Data Inputs -- 4.13.3 Unexplored Frameworks -- 4.13.4 Trading Strategies Based on Algorithm -- 4.14 Conclusion -- References -- Chapter 5 Artificial Intelligence and Quantum Computing Techniques for Stock Market Predictions -- 5.1 Introduction -- 5.2 Literature Survey -- 5.3 Analysis of Popular Deep Learning Techniques for Stock Market Prediction -- 5.3.1 Blind Quantum Computing (BQC) in Stock Market Prediction -- 5.3.2 Quantum Neural Networks (QNNs) for Time Series Forecasting -- 5.3.3 Artificial Intelligence-Based Algorithms -- 5.3.3.1 Deep Learning Models -- 5.3.3.2 Support Vector Machines (SVM) -- 5.3.3.3 Reinforcement Learning (RL) -- 5.3.4 Quantum Computing-Based Algorithms…”

Tabla de Contenidos: “…Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- About the Editors -- List of Contributors -- Chapter 1 Introduction to Sustainable Urban and Rural Integration -- 1.1 The Rapid Urbanization and Sustainability Issues -- 1.2 Need for Integrating Urban and Rural Development for All Ages and Social Classes -- 1.3 Key Challenges in Sustainable Urban and Rural Integration -- 1.4 Strategic Solutions -- 1.5 Highlights of the Book Features -- References -- Chapter 2 Crowdsourcing and Crowdsensing as Smart Rural Service Platform Technology -- 2.1 Introduction -- 2.1.1 Needs for Smart Rural Service Platform -- 2.1.2 Definitions of Service Design and Smart Servicing -- 2.1.3 Crowdsourcing and Crowdsensing as Smart Rural Service Platform -- 2.1.4 Mobile Crowdsensing Applications -- 2.2 Crowdsourcing Technology for Service Design and Crowd-Based Service Outsourcing -- 2.2.1 Crowdsourcing Concept -- 2.2.2 Crowdsourcing System -- 2.2.3 Crowdsourcing Technologies for Service Design -- 2.3 Crowdsensing and Crowdsourcing for Smart City/Village-Case Study -- 2.3.1 Case Study-Crowdsourcing Platform for Rural Farming -- 2.3.2 Crowdsensing for Collective Decision-Making -- 2.4 Summary -- References -- Chapter 3 Integrating Crowdsourcing and Digital Twin Technologies for Smart Service Design and Servicing Platform -- 3.1 Introduction -- 3.2 Digital Twin and Its Relationship to Digital Shadow and Digital Tread -- 3.3 Digital Twin Framework for Smart City -- 3.4 Service-Oriented Platform Development Supported by Digital Twin-Case Study -- 3.4.1 Industrial Background and Requirements -- 3.4.2 The Service-Oriented Hybrid DT and Digital Thread Conceptual Model -- 3.4.3 The Architecture of the DT Platform Prototype -- 3.4.4 Implementation of Service Provider Coordination Mechanism on the Platform…”

Tabla de Contenidos: “…The evolution of DB2 for z/OS -- 2.1 The evolution of DB2 UDB for z/OS -- 2.2 DB2 and Parallel Sysplex industry leadership -- 2.2.1 Extreme availability -- 2.2.2 Near-linear scalability -- 2.2.3 Preservation of investment -- 2.2.4 Controlled enablement of new functionality on version upgrade -- 2.2.5 Rolling maintenance and new releases without an outage -- 2.2.6 Ability to fallback -- 2.2.7 Conclusion -- 2.3 Summary for DB2 -- Chapter 3. …”

Tabla de Contenidos: “…Contab007-fuenilidad: concepto y generalidades -- 3.1 Concepto -- 3.2 Naturaleza -- 3.3 Finalidad -- 3.4 Características de la información financiera -- 3.4.1 Características generales -- 3.4.2 Características según la NIF A-1 -- 3.4.3 Características cualitativas -- 3.5 Importancia -- 3.6 Postulados básicos -- 3.7 Relación con otras materias -- 3.8 Estructura -- 3.9 Clasificación -- 3.9.1 Contabilidad administrativa -- 3.9.2 Contabilidad de costos -- 3.9.3 Contabilidad financiera -- 3.9.4 Contabilidad gubernamental -- 3.9.5 Contabilidad industrial -- 3.9.6 Contabilidad mercantil -- 3.9.7 Contabilidad de sociedades -- 3.9.8 Contabilidad por sector, régimen o actividad -- 3.9.9 Contabilidad electrónica fiscal -- 3.9.9.1 Definiciones -- 3.9.9.2 Disposiciones contenidas en el Código Fiscal de la Federación -- 3.9.9.3 Conservación de la contabilidad y los comprobantes -- 3.9.10 Contabilidad internacional -- 3.9.11 Contabilidad creativa -- Capítulo 4. …”

Tabla de Contenidos: “…2.1 Converging Forces Favourably -- 2.2 Marketing Environment: Concept -- 2.3 Need of Environmental Analysis -- 2.4 Types of Environments -- 2.5 Micro Environment -- 2.6 Proximate Macro Environment -- 2.6.1 Suppliers -- 2.6.2 Intermediaries -- 2.6.3 Public -- 2.6.4 Competitor -- 2.7 General Macro Environment -- 2.7.1 Demographic Environment -- 2.7.2 Economic Environment -- 2.7.3 Technological Environment -- 2.7.4 Socio-Cultural Environment -- 2.7.5 Political Environment -- 2.7.6 Legal Environment -- 2.7.7 Ecological Environment -- 2.8 Techniques for Environmental Scanning -- Summary -- Key Words -- Students' Ready Reckoner -- Review Questions -- Chapter 3: Segmenting, Targeting and Positioning: Reaching Consumers Efficiently -- 3.1 Shelving Diversified Customers -- 3.2 Market Segmentation: Concept -- 3.3 Rationale for Segmentation -- 3.4 Level of Market Segmentation -- 3.4.1 Mass Marketing -- 3.4.2 Segment Marketing -- 3.4.3 Niche Marketing -- 3.4.4 Local Marketing -- 3.4.5 Individual Marketing -- 3.5 Factors Influencing Choice of Bases for Segmentation -- 3.6 Bases for Segmenting Consumer Market -- 3.6.1 Geographical Variables -- 3.6.2 Demographic Variables -- 3.6.3 Psychographic Variables -- 3.6.4 Behavioural Variables -- 3.7 Bases for Segmenting Industrial Market -- 3.7.1 Demographic Variables -- 3.7.2 Operating Variables -- 3.7.3 Purchasing Variables -- 3.7.4 Situational Variables -- 3.7.5 Personal Characteristics -- 3.8 Patterns of Segmentation -- 3.9 Segmentation Procedure -- 3.10 Factors Determining Effective Segmentation -- 3.11 Market Targeting -- 3.11.1 Meaning of Market Targeting -- 3.11.2 Target Market -- 3.11.3 Strategies for Selecting Target Market -- 3.12 Positioning -- 3.12.1 Concept of Positioning -- 3.12.2 Steps in Positioning -- 3.12.3 Positioning Errors -- 3.12.4 Positioning Strategies -- 3.13 Market Share -- Summary -- Key Words…”

Tabla de Contenidos: “…The good guys vs the bad guys -- 3.4.3. Vulnerability timeline -- 3.4.4. RSA attack -- 3.4.5. …”

Tabla de Contenidos: “…-- 5 Conclusion -- Bibliography -- Chapter 4 Strengthening the Global Regulation of Hydrofluorocarbons under the Montreal Protocol -- 1 Introduction -- 2 HFC s -- 3 The Global Regulation of HFC s under the Ozone Regime -- 3.1 Events Leading to the Development of the Ozone Regime -- 3.2 The Vienna Convention -- 3.3 The Montreal Protocol -- 3.3.1 Introduction -- 3.3.2 Overview of the Main Provisions of the Montreal Protocol -- 3.3.3 Facilitating the Participation of Developing Countries -- 3.3.4 The Role of Industry -- 3.3.5 Governance under the Montreal Protocol -- 3.4 The Kigali Amendment -- 3.4.1 Events Leading to the Adoption of the Kigali Amendment -- 3.4.2 Overview of the Kigali Amendment -- 3.4.3 Participation under the Kigali Amendment -- 4 Evaluating the Effectiveness of the Ozone Regime -- 4.1 Strengths of the Ozone Regime -- 4.2 Gaps in the Ozone Regime -- 4.2.1 The Montreal Protocol Does Not Regulate Banks of HFC s -- 4.2.2 The Montreal Protocol Does Not Adequately Regulate HFC s Produced as By-Products -- 4.2.3 The Montreal Protocol Does Not Control Substances that Are Used as Feedstocks…”

Tabla de Contenidos: “…3.3.1 Revenue from LTE backhaul 53 -- 3.3.2 Contribution to mobile service revenue 54 -- 3.3.3 Cost savings 54 -- 3.4 Quantifying costs 55 -- 3.4.1 Equipment purchases 55 -- 3.4.2 Economic lifetime 55 -- 3.4.3 Operational costs 56 -- 3.4.4 Other costs 57 -- 3.5 Case router 58 -- 3.5.1 Cash Flow 58 -- 3.5.2 Payback Period 59 -- 3.5.3 Net Present Value (NPV) 61 -- 3.5.4 Selection of the Interest Rate 63 -- 3.5.5 Internal Rate of Return 64 -- 3.5.6 Return on Investment and Further Metrics 64 -- 3.6 Wireless Backhaul Case Study 66 -- 3.6.1 Case Definition 66 -- 3.6.2 Payback Period 68 -- 3.6.3 NPV 69 -- References 70 -- Further Reading 71 -- 4 Dimensioning Aspects and Analytical Models of LTE MBH Networks 73 / Csaba Vulkán and Juha T.T. …”

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