Tabla de Contenidos: “…-- The OECD project on the economics of space sustainability -- The economics of space debris: Setting a research agenda -- New contributions to understanding the value and sustainability of space-based infrastructure -- The project's preliminary results -- Next steps of the project -- Earth's Orbits at Risk: The Economics of Space Sustainability -- Identifying the potential costs of space debris related to the socio-economic value derived from selected segments of the space-based infrastructure: -- Providing options for debris mitigation and remediation and ways to support potential future markets to address the problem: -- References -- 2 Space sustainability as the next major societal challenge -- Growing socio-economic dependence on space assets -- Growing risks to space-based infrastructure -- Space weather events -- Mounting pressure on the radio frequency spectrum and increased risk of interference -- Catastrophic accidents on orbit -- The increasing risk of collisions in space and why it matters -- The costs of space debris -- Identifying current costs for different types of users -- Longer term costs -- Addressing the problem -- Efforts to mitigate and remediate space debris -- Avoiding collisions -- Remediating debris -- Creating incentives for operators -- References…”

Tabla de Contenidos: “…Preface xiii Table of Engineering Applications xvii Part 1 Introduction 1 Mathematica Environment and Basic Syntax 3 1.1 Introduction 3 1.2 Selecting Notebook Characteristics 4 1.3 Notebook Cells 8 1.4 Delimiters 12 1.5 Basic Syntax 12 1.5.1 Introduction 12 1.5.2 Templates: Greek Symbols and Mathematical Notation 15 1.5.3 Variable Names and Global Variables 18 1.6 Mathematical Constants 19 1.7 Complex Numbers 21 1.8 Elementary, Trigonometric, Hyperbolic, and a Few Special Functions 22 1.9 Strings 25 1.9.1 String Creation: StringJoin[] and ToString[] 25 1.9.2 Labeled Output: Print[], NumberForm[], EngineeringForm[], and TraditionalForm[] 26 1.10 Conversions, Relational Operators, and Transformation Rule 28 1.11 Engineering Units and Unit Conversions: Quantity[] and UnitConvert[] 30 1.12 Creation of CDF Documents and Documents in Other Formats 33 1.13 Functions Introduced in Chapter 1 34 Exercises 35 2 List Creation and Manipulation: Vectors and Matrices 39 2.1 Introduction 39 2.2 Creating Lists and Vectors 39 2.2.1 Introduction 39 2.2.2 Creating a List with Table[] 45 2.2.3 Summing Elements of a List: Total[] 46 2.2.4 Selecting Elements of a List 47 2.2.5 Identifying List Elements Matching a Pattern: Position[] 49 2.3 Creating Matrices 51 2.3.1 Introduction 51 2.3.2 Matrix Generation Using Table[] 54 2.3.3 Accessing Elements of Arrays 55 2.4 Matrix Operations on Vectors and Arrays 56 2.4.1 Introduction 56 2.4.2 Matrix Inverse and Determinant: Inverse[] and Det[] 57 2.5 Solution of a Linear System of Equations: LinearSolve[] 58 2.6 Eigenvalues and Eigenvectors: EigenSystem[] 59 2.7 Functions Introduced in Chapter 2 61 References 61 Exercises 61 3 User-Created Functions, Repetitive Operations, and Conditionals 69 3.1 Introduction 69 3.2 Expressions and Procedures as Functions 69 3.2.1 Introduction 69 3.2.2 Pure Function: Function[] 74 3.2.3 Module[] 78 3.3 Find Elements of a List that Meet a Criterion: Select[] 80 3.4 Conditionals 82 3.4.1 If[] 82 3.4.2 Which[] 83 3.5 Repetitive Operations 83 3.5.1 Do[] 83 3.5.2 While[] 83 3.5.3 Nest[] 84 3.5.4 Map[] 84 3.6 Examples of Repetitive Operations and Conditionals 85 3.7 Functions Introduced in Chapter 3 92 Exercises 92 4 Symbolic Operations 95 4.1 Introduction 95 4.2 Assumption Options 101 4.3 Solutions of Equations: Solve[] 101 4.4 Limits: Limit[] 105 4.5 Power Series: Series[], Coefficient[], and CoefficientList[] 108 4.6 Optimization: Maximize[]/Minimize[] 112 4.7 Differentiation: D[] 114 4.8 Integration: Integrate[] 120 4.9 Solutions of Ordinary Differential Equations: DSolve[] 126 4.10 Solutions of Partial Differential Equations: DSolve[] 136 4.11 Laplace Transform: LaplaceTransform[] and InverseLaplaceTransform[] 138 4.12 Functions Introduced in Chapter 4 145 References 145 Exercises 146 5 Numerical Evaluations of Equations 151 5.1 Introduction 151 5.2 Numerical Integration: NIntegrate[] 151 5.3 Numerical Solutions of Differential Equations: NDSolveValue[] and ParametricNDSolveValue[] 154 5.4 Numerical Solutions of Equations: NSolve[] 178 5.5 Roots of Transcendental Equations: FindRoot[] 180 5.6 Minimum and Maximum: FindMinimum[] and FindMaximum[] 182 5.7 Fitting of Data: Interpolation[] and FindFit[] 186 5.8 Discrete Fourier Transforms and Correlation: Fourier[], InverseFourier[], and ListCorrelate[] 189 5.9 Functions Introduced in Chapter 5 194 References 195 Exercises 196 6 Graphics 209 6.1 Introduction 209 6.2 2D Graphics 209 6.2.1 Basic Plotting 209 6.2.2 Basic Graph Enhancements 213 6.2.3 Common 2D Shapes: Graphics[] 217 6.2.4 Additional Graph Enhancements 222 6.2.5 Combining Figures: Show[] and GraphicsGrid[] 238 6.2.6 Tooltip[] 241 6.2.7 Exporting Graphics 244 6.3 3D Graphics 244 6.4 Summary of Functions Introduced in Chapter 6 253 References 254 Exercises 254 7 Interactive Graphics 263 7.1 Interactive Graphics: Manipulate[] 263 References 287 Exercises 287 Part 2 Engineering Applications 8 Vibrations of Spring Mass Systems and Thin Beams 293 8.1 Introduction 293 8.2 Single Degree-of-Freedom Systems 294 8.2.1 Periodic Force on a Single Degree-of-Freedom System 294 8.2.2 Squeeze Film Damping and Viscous Fluid Damping 298 8.2.3 Electrostatic Attraction 302 8.2.4 Single Degree-of-Freedom System Energy Harvester 304 8.3 Two Degrees-of-Freedom Systems 307 8.3.1 Governing Equations 307 8.3.2 Response to Harmonic Excitation: Amplitude Response Functions 307 8.3.3 Enhanced Energy Harvester 310 8.4 Thin Beams 315 8.4.1 Natural Frequencies and Mode Shapes of a Cantilever Beam with In-Span Attachments 315 8.4.2 Effects of Electrostatic Force on the Natural Frequency and Stability of a Beam 318 8.4.3 Response of a Cantilever Beam with an In-Span Attachment to an Impulse Force 323 References 326 9 Statistics 327 9.1 Descriptive Statistics 327 9.1.1 Introduction 327 9.1.2 Location Statistics: Mean[], StandardDeviation[], and Quartile[] 327 9.1.3 Continuous Distribution Functions: PDF[] and CDF[] 329 9.1.4 Histograms and Probability Plots: Histogram[] and ProbabilityScalePlot [] 331 9.1.5 Whisker Plot: BoxWhiskerChart[] 332 9.1.6 Creating Data with Specified Distributions: RandomVariate[] 334 9.2 Probability of Continuous Random Variables 334 9.2.1 Probability for Different Distributions: NProbability[] 334 9.2.2 Inverse Cumulative Distribution Function: InverseCDF[] 337 9.2.3 Distribution Parameter Estimation: EstimatedDistribution[] and FindDistributionParameters[] 337 9.2.4 Confidence Intervals: CI[] 340 9.2.5 Hypothesis Testing: LocationTest[] and VarianceTest[] 342 9.3 Regression Analysis: LinearModelFit[] 343 9.3.1 Simple Linear Regression 343 9.3.2 Multiple Linear Regression 347 9.4 Nonlinear Regression Analysis: NonLinearModelFit[] 351 9.5 Analysis of Variance (ANOVA) and Factorial Designs: ANOVA[] 354 9.6 Functions Introduced in Chapter 9 358 10 Control Systems and Signal Processing 359 10.1 Introduction 359 10.2 Model Generation: State-Space and Transfer Function Representation 359 10.2.1 Introduction 359 10.2.2 State-Space Models: StateSpaceModel[] 360 10.2.3 Transfer Function Models: TransferFunctionModel[] 362 10.3 Model Connections Closed-Loop Systems and System Response: SystemsModelFeedbackConnect[] and SystemsModelSeriesConnect[] 363 10.4 Design Methods 369 10.4.1 Root Locus: RootLocusPlot[] 369 10.4.2 Bode Plot: BodePlot[] 371 10.4.3 Nichols Plot: NicholsPlot[] 372 10.5 Signal Processing 374 10.5.1 Filter Models: ButterworthFilterModel[], EllipticFilterModel[], ... 374 10.5.2 Windows: HammingWindow[], HannWindow[], ... 381 10.5.3 Spectrum Averaging 385 10.6 Aliasing 388 10.7 Functions Introduced in Chapter 10 390 Reference 391 11 Heat Transfer and Fluid Mechanics 393 11.1 Introduction 393 11.2 Conduction Heat Transfer 394 11.2.1 One-Dimensional Transient Heat Diffusion in Solids 394 11.2.2 Heat Transfer in Concentric Spheres: Ablation of a Tumor 398 11.2.3 Heat Flow Through Fins 401 11.3 Natural Convection Along Heated Plates 405 11.4 View Factor Between Two Parallel Rectangular Surfaces 408 11.5 Internal Viscous Flow 411 11.5.1 Laminar Flow in Horizontal Cylindrical Pipes 411 11.5.2 Flow in Three Reservoirs 412 11.6 External Flow 416 11.6.1 Pressure Coefficient of a Joukowski Airfoil 416 11.6.2 Surface Profile in Nonuniform Flow in Open Channels 419 References 423 Index 425.…”

Tabla de Contenidos: “…Sampling by time window -- Extracting audio signatures -- Building a song analyzer -- Selling data science is all about selling cupcakes -- Using Cassandra -- Using the Play framework -- Building a recommender -- The PageRank algorithm -- Building a Graph of Frequency Co-occurrence -- Running PageRank -- Building personalized playlists -- Expanding our cupcake factory -- Building a playlist service -- Leveraging the Spark job server -- User interface -- Summary -- Chapter 9: News Dictionary and Real-Time Tagging System -- The mechanical Turk -- Human intelligence tasks -- Bootstrapping a classification model -- Learning from Stack Exchange -- Building text features -- Training a Naive Bayes model -- Laziness, impatience, and hubris -- Designing a Spark Streaming application -- A tale of two architectures -- The CAP theorem -- The Greeks are here to help -- Importance of the Lambda architecture -- Importance of the Kappa architecture -- Consuming data streams -- Creating a GDELT data stream -- Creating a Kafka topic -- Publishing content to a Kafka topic -- Consuming Kafka from Spark Streaming -- Creating a Twitter data stream -- Processing Twitter data -- Extracting URLs and hashtags -- Keeping popular hashtags -- Expanding shortened URLs -- Fetching HTML content -- Using Elasticsearch as a caching layer -- Classifying data -- Training a Naive Bayes model -- Thread safety -- Predict the GDELT data -- Our Twitter mechanical Turk -- Summary -- Chapter 10: Story De-duplication and Mutation -- Detecting near duplicates -- First steps with hashing -- Standing on the shoulders of the Internet giants -- Simhashing -- The hamming weight -- Detecting near duplicates in GDELT -- Indexing the GDELT database -- Persisting our RDDs -- Building a REST API -- Area of improvement -- Building stories -- Building term frequency vectors…”

Tabla de Contenidos: “…Intro -- Title Page -- Copyright Page -- Contents -- Preface -- Chapter 1 Global System for Mobile Communications (GSM) -- 1.1 Circuit-Switched Data Transmission -- 1.1.1 Classic Circuit Switching -- 1.1.2 Virtual Circuit Switching over IP -- 1.2 Standards -- 1.3 Transmission Speeds -- 1.4 The Signaling System Number 7 -- 1.4.1 The Classic SS-7 Protocol Stack -- 1.4.2 SS-7 Protocols for GSM -- 1.4.3 IP-Based SS-7 Protocol Stack -- 1.5 The GSM Subsystems -- 1.6 The Network Subsystem -- 1.6.1 The Mobile Switching Center (MSC), Server and Gateway -- 1.6.2 The Visitor Location Register (VLR) -- 1.6.3 The Home Location Register (HLR) -- 1.6.4 The Authentication Center -- 1.6.5 The Short Messaging Service Center (SMSC) -- 1.7 The Base Station Subsystem (BSS) and Voice Processing -- 1.7.1 Frequency Bands -- 1.7.2 The Base Transceiver Station (BTS) -- 1.7.3 The GSM Air Interface -- 1.7.4 The Base Station Controller (BSC) -- 1.7.5 The TRAU for Voice Encoding -- 1.7.6 Channel Coder and Interleaver in the BTS -- 1.7.7 Ciphering in the BTS and Security Aspects -- 1.7.8 Modulation -- 1.7.9 Voice Activity Detection -- 1.8 Mobility Management and Call Control -- 1.8.1 Cell Reselection and Location Area Update -- 1.8.2 The Mobile-Terminated Call -- 1.8.3 Handover Scenarios -- 1.9 The Mobile Device -- 1.9.1 Architecture of a Voice-Centric Mobile Device -- 1.9.2 Architecture of a Smartphone -- 1.10 The SIM Card -- 1.11 The Intelligent Network Subsystem and CAMEL -- Questions -- References -- Chapter 2 General Packet Radio Service (GPRS) and EDGE -- 2.1 Circuit-Switched Data Transmission over GSM -- 2.2 Packet-Switched Data Transmission over GPRS -- 2.3 The GPRS Air Interface -- 2.3.1 GPRS vs. …”

Tabla de Contenidos: “…IntroductionGraphics AreasMajor ApplicationsGraphics APIsGraphics PipelineNumerical IssuesEfficiencyDesigning and Coding Graphics ProgramsMiscellaneous MathSets and MappingsSolving Quadratic EquationsTrigonometryVectorsCurves and SurfacesLinear InterpolationTrianglesRaster ImagesRaster DevicesImages, Pixels, and GeometryRGB ColorAlpha CompositingRay TracingThe Basic Ray-Tracing AlgorithmPerspectiveComputing Viewing RaysRay-Object IntersectionShadingA Ray-Tracing ProgramShadowsIdeal Specular ReflectionHistorical NotesLinear AlgebraDeterminantsMatricesComputing with Matrices and DeterminantsEigenvalues and Matrix DiagonalizationTransformation Matrices2D Linear Transformations3D Linear TransformationsTranslation and Affine TransformationsInverses of Transformation MatricesCoordinate TransformationsViewingViewing TransformationsProjective TransformationsPerspective ProjectionSome Properties of the Perspective TransformField-of-ViewThe Graphics PipelineRasterizationOperations Before and After RasterizationSimple AntialiasingCulling Primitives for EfficiencySignal ProcessingDigital Audio: Sampling in 1DConvolutionConvolution FiltersSignal Processing for ImagesSampling TheorySurface ShadingDiffuse ShadingPhong ShadingArtistic ShadingTexture MappingLooking Up Texture ValuesTexture Coordinate FunctionsAntialiasing Texture LookupsApplications of Texture MappingProcedural 3D TexturesData Structures for GraphicsTriangle MeshesScene GraphsSpatial Data StructuresBSP Trees for VisibilityTiling Multidimensional ArraysMore Ray TracingTransparency and RefractionInstancingConstructive Solid GeometryDistribution Ray TracingSamplingIntegrationContinuous ProbabilityMonte Carlo IntegrationChoosing Random PointsCurvesCurvesCurve PropertiesPolynomial PiecesPutting Pieces TogetherCubicsApproximating CurvesSummaryComputer AnimationPrinciples of AnimationKeyframingDeformationsCharacter AnimationPhysics-Based AnimationProcedural TechniquesGroups of ObjectsUsing Graphics HardwareHardware OverviewWhat Is Graphics HardwareHeterogeneous MultiprocessingGraphics Hardware Programming: Buffers, State, and ShadersState MachineBasic OpenGL Application LayoutGeometryA First Look at ShadersVertex Buffer ObjectsVertex Array ObjectsTransformation MatricesShading with Per-Vertex AttributesShading in the Fragment ProcessorMeshes and InstancingTexture ObjectsObject-Oriented Design for Graphics Hardware ProgrammingContinued LearningLightRadiometryTransport EquationPhotometryColorColorimetryColor SpacesChromatic AdaptationColor AppearanceVisual PerceptionVision ScienceVisual SensitivitySpatial VisionObjects, Locations, and EventsPicture PerceptionTone ReproductionClassificationDynamic RangeColorImage FormationFrequency-Based OperatorsGradient-Domain OperatorsSpatial OperatorsDivisionSigmoidsOther ApproachesNight TonemappingDiscussionImplicit ModelingImplicit Functions, Skeletal Primitives, and Summation BlendingRenderingSpace PartitioningMore on BlendingConstructive Solid GeometryWarpingPrecise Contact ModelingThe Blob TreeInteractive Implicit Modeling SystemsGlobal IlluminationParticle Tracing for Lambertian ScenesPath TracingAccurate Direct LightingReflection ModelsReal-World MaterialsImplementing Reflection ModelsSpecular Reflection ModelsSmooth-Layered ModelRough-Layered ModelComputer Graphics in GamesPlatformsLimited ResourcesOptimization TechniquesGame TypesThe Game Production ProcessVisualizationBackgroundData TypesHuman-Centered Design ProcessVisual Encoding PrinciplesInteraction PrinciplesComposite and Adjacent ViewsData ReductionExamples…”

Tabla de Contenidos: “…Related Work: JPEG 2000 Global Visual Frequency Weighting; 3. Perceptual quantization; 3.1. …”

Tabla de Contenidos: “…Advocate Influence Measuring Advocate's Klout 2. Advocacy Frequency Segmenting Brand Advocates Chapter 3: What's A Brand Advocate Worth? …”

Tabla de Contenidos: “…4.4.2 Median Filtering -- 4.4.3 High-Pass Spatial Filters -- 4.4.4 High-Boost Filter -- 4.4.5 Derivative Filters -- 4.5 Frequency Domain -- 4.5.1 Ideal Low-Pass Filter -- 4.5.2 Butterworth Low-Pass Filter -- 4.5.3 High-Pass Filter -- 4.5.4 Homomorphic Filtering -- 4.5.5 Pseudo Color Image -- 4.6 Gray Level to Color Transformation -- 4.6.1 Filter Approach for Color Coding -- Summary -- Review Questions -- Chapter 5: Image Compression -- 5.1 Introduction -- 5.2 Coding Redundancy -- 5.3 Inter-Pixel Redundancy -- 5.4 Psycho-Visual Redundancy -- 5.5 Image Compression Models -- 5.6 The Source Encoder and Decoder -- 5.7 The Channel Encoder and Decoder -- 5.8 Information Theory -- 5.8.1 Information -- 5.8.2 Entropy Coding -- 5.9 Classification -- 5.10 Huffman Coding -- 5.10.1 Arithmetic Coding -- 5.10.2 Lossless Predictive Coding -- 5.11 Lossy Compression Techniques -- 5.11.1 Lossy Predictive Compression Approach -- 5.11.2 Transform Coding -- 5.11.3 Subimage Selection -- 5.11.4 Coefficients Selection -- 5.12 Threshold Coding -- 5.13 Vector Quantization -- 5.14 Image Compression Standard (JPEG) -- 5.15 Image Compression Using Neural Networks -- 5.15.1 Multilayer Perceptron Network for Image Compression -- 5.15.2 Vector Quantization Using Neural Networks -- 5.15.3 Self-Organizing Feature Map -- Summary -- Review Questions -- Chapter 6: Image Segmentation -- 6.1 Introduction -- 6.2 Detection of Isolated Points -- 6.3 Line Detection -- 6.4 Edge Detection -- 6.4.1 Gradient Operators -- 6.4.2 Laplacian Operator -- 6.5 Edge Linking and Boundary Detection -- 6.5.1 Local Processing -- 6.5.2 Global Processing Using Graph Theoretic Approach -- 6.6 Region-Oriented Segmentation -- 6.6.1 Basic Rules for Segmentation -- 6.6.2 Region Growing by Pixel Aggregation -- 6.6.3 Region Splitting and Merging -- 6.7 Segmentation Using Threshold -- 6.7.1 Fundamental Concepts…”

Tabla de Contenidos: “…Kent Nagle -- Contents -- Preface -- Our Goal -- New to This Edition -- Prerequisites -- Sample Syllabi -- Retained Features -- Technology and Supplements -- Acknowledgments -- Acknowledgments for the Global Edition -- Chapter 1: Introduction -- 1.1. …”

“…Oceanic internal waves (IWs) at frequencies from local inertial (e.g., near-inertial internal waves) to buoyancy frequencies (nonlinear internal waves or internal solitary waves), sometimes including diurnal and semidiurnal tidal frequencies, play an important role in redistributing heat, momentum, materials, and energy via turbulent mixing. …”

Tabla de Contenidos: “…Foreword xix -- Preface xxi -- Acknowledgements xxv -- List of Contributors xxvii -- 1 Energy, Global Warming and Impact of Power Electronics in the Present Century 1 -- 1.1 Introduction 1 -- 1.2 Energy 2 -- 1.3 Environmental Pollution: Global Warming Problem 3 -- 1.4 Impact of Power Electronics on Energy Systems 8 -- 1.5 Smart Grid 20 -- 1.6 Electric/Hybrid Electric Vehicles 21 -- 1.7 Conclusion and Future Prognosis 23 -- References 25 -- 2 Challenges of the Current Energy Scenario: The Power Electronics Contribution 27 -- 2.1 Introduction 27 -- 2.2 Energy Transmission and Distribution Systems 28 -- 2.3 Renewable Energy Systems 34 -- 2.4 Transportation Systems 41 -- 2.5 Energy Storage Systems 42 -- 2.6 Conclusions 47 -- References 47 -- 3 An Overview on Distributed Generation and Smart Grid Concepts and Technologies 50 -- 3.1 Introduction 50 -- 3.2 Requirements of Distributed Generation Systems and Smart Grids 51 -- 3.3 Photovoltaic Generators 52 -- 3.4 Wind and Mini-hydro Generators 55 -- 3.5 Energy Storage Systems 56 -- 3.6 Electric Vehicles 57 -- 3.7 Microgrids 57 -- 3.8 Smart Grid Issues 59 -- 3.9 Active Management of Distribution Networks 60 -- 3.10 Communication Systems in Smart Grids 61 -- 3.11 Advanced Metering Infrastructure and Real-Time Pricing 62 -- 3.12 Standards for Smart Grids 63 -- References 65 -- 4 Recent Advances in Power Semiconductor Technology 69 -- 4.1 Introduction 69 -- 4.2 Silicon Power Transistors 70 -- 4.3 Overview of SiC Transistor Designs 75 -- 4.4 Gate and Base Drivers for SiC Devices 80 -- 4.5 Parallel Connection of Transistors 89 -- 4.6 Overview of Applications 97 -- 4.7 Gallium Nitride Transistors 100 -- 4.8 Summary 102 -- References 102 -- 5 AC-Link Universal Power Converters: A New Class of Power Converters for Renewable Energy and Transportation 107 -- 5.1 Introduction 107 -- 5.2 Hard Switching ac-Link Universal Power Converter 108 -- 5.3 Soft Switching ac-Link Universal Power Converter 112 -- 5.4 Principle of Operation of the Soft Switching ac-Link Universal Power Converter 113.…”

Tabla de Contenidos: “…-- Other Ways Bayes Applies -- Notes -- Chapter 9 Some Powerful Methods Based on Bayes -- Computing Frequencies with (Very) Few Data Points: The Beta Distribution -- Decomposing Probabilities with Many Conditions -- Reducing Uncertainty Further and When to Do It -- More Advanced Modeling Considerations -- Wrapping Up Bayes -- Notes -- Part III Cybersecurity Risk Management for the Enterprise -- Chapter 10 Toward Security Metrics Maturity -- Introduction: Operational Security Metrics Maturity Model -- Sparse Data Analytics -- Functional Security Metrics -- Functional Security Metrics Applied: BOOM! …”

Tabla de Contenidos: “…Transparency Reporting Submission Dates -- First Transparency Reports -- Example -- Reporting transparency information to the FCA -- GABRIEL reporting -- Access to GABRIEL -- Full-Scope UK AIFMs with Quarterly Sep. 30, 2014 Reporting Obligations -- Full-Scope UK AIFMs and Small Authorized UK AIFMs -- Small Registered UK AIFMs -- All AIFM Types-Initial Action Required in GABRIEL -- Ongoing Responsibility -- Submitting Transparency Reports Using GABRIEL -- Missed or late transparency reporting -- Transparency reporting requirement-quarterly reporting period ending Sep. 30, 2014 -- More information on transparency reporting -- Appendix 6 - Questions and Answers Application of the AIFMD -- Question 1: First application of the remuneration rules -- Date Last Updated: 17 February 2014 -- Question 2: Remuneration rules in case of delegation of portfolio management or risk management activities -- Date Last Updated: 17 February 2014 -- Question 3: Annex IV of the AIFMD -- Date Last Updated: 17 February 2014 -- Question 4: Notifications of AIFs -- Date Last Updated: 17 February 2014 -- Question 5: Reporting under Article 42 of the AIFMD -- Date Last Updated: 17 February 2014 -- Appendix 7 - China Securities Regulatory Commission (CSRC) -- Suggested Further Reading -- Appendix 8 - October 2015-Top 10 Performing Funds -- Appendix 9 - Global OTC Derivatives Market-Source BIS -- Appendix 10 - Global OTC Derivatives Market-Source BIS -- Appendix 11 -- Glossary of Terms -- Useful Websites and Links -- Index -- Back cover…”

Tabla de Contenidos: “…2.12 Model Comparison and Averaging -- 2.12.1 In-sample Comparison -- 2.12.2 Out-of-sample Comparison -- 2.12.3 Model Averaging -- Exercises -- References -- 3: Case Studies of Linear Time Series -- 3.1 Weekly Regular Gasoline Price -- 3.1.1 Pure Time Series Model -- 3.1.2 Use of Crude Oil Prices -- 3.1.3 Use of Lagged Crude Oil Prices -- 3.1.4 Out-of-sample Predictions -- 3.2 Global Temperature Anomalies -- 3.2.1 Unit-root Stationarity -- 3.2.2 Trend-nonstationarity -- 3.2.3 Model Comparison -- 3.2.4 Long-term Prediction -- 3.2.5 Discussion -- 3.3 Us Monthly Unemployment Rates -- 3.3.1 Univariate Time Series Models -- 3.3.2 An Alternative Model -- 3.3.3 Model Comparison -- 3.3.4 Use of Initial Jobless Claims -- 3.3.5 Comparison -- Exercises -- References -- 4: Asset Volatility and Volatility Models -- 4.1 Characteristics of Volatility -- 4.2 Structure of a Model -- 4.3 Model Building -- 4.4 Testing for ARCH Effect -- 4.5 The Arch Model -- 4.5.1 Properties of ARCH Models -- 4.5.2 Advantages and Weaknesses of ARCH Models -- 4.5.3 Building an ARCH Model -- 4.5.4 Some Examples -- 4.6 the Garch Model -- 4.6.1 An Illustrative Example -- 4.6.2 Forecasting Evaluation -- 4.6.3 A Two-pass Estimation Method -- 4.7 The Integrated Garch Model -- 4.8 The Garch-M Model -- 4.9 The Exponential Garch Model -- 4.9.1 An Illustrative Example -- 4.9.2 An Alternative Model Form -- 4.9.3 Second Example -- 4.9.4 Forecasting Using an EGARCH Model -- 4.10 The Threshold Garch Model -- 4.11 Asymmetric Power Arch Models -- 4.12 Nonsymmetric Garch Model -- 4.13 The Stochastic Volatility Model -- 4.14 Long-memory Stochastic Volatility Models -- 4.15 Alternative Approaches -- 4.15.1 Use of High Frequency Data -- 4.15.2 Use of Daily Open, High, Low, and Close Prices -- Exercises -- References -- 5: Applications of Volatility Models -- 5.1 Garch Volatility Term Structure…”

Tabla de Contenidos: “…-- Cost savings under privatization -- Economic globalization as an explanation -- Managing worker demands -- Precarious employment -- Precarious work -- Precarious work and worker-related injuries -- Precarious work and workers' compensation -- Implications of precarious work for workers' compensation -- Conclusion -- Eight Conclusion -- Why are workers injured on the job? …”

Tabla de Contenidos: “…Des emplois plus nombreux et meilleurs ? La performance globale au cours de la dernière décennie -- Introduction -- Principaux résultats -- 1. …”

Tabla de Contenidos: “…Governance, system-level policies and practices -- Detailed overview of PISA 2022 modules -- Basic demographics -- Economic, Social, and Cultural Status (ESCS) -- Educational pathways and post-secondary aspirations -- Migration and language exposure -- PISA preparation and effort -- School culture and climate -- Subject-specific beliefs, attitudes, feelings, and behaviours -- General social and emotional characteristics -- Health and well-being -- Out-of-school experiences -- School type and infrastructure -- Selection and enrolment -- School autonomy -- Organisation of student learning at school -- Exposure to mathematics content -- Mathematics teacher behaviours -- Teacher qualification, training, and professional development -- Assessment, evaluation and accountability -- Parental/guardian involvement and support -- Creative thinking -- Global crises -- PISA 2022 Survey Design Principles -- Question types -- Use of Matrix Questions -- Use of alternative item formats -- Minimize use of open-ended fill-in-the-blank questions -- Question wording -- Use of positive and negative statements -- Contextual cue placement -- Avoid multi-barrelled statements -- Choose a meaningful number of examples -- Minimise surface-level similarities in wording across matrix question items -- Response options -- Number of options -- Use of agreement and frequency scales -- Harmonizing directionality of response options -- Scaled indices -- Distinguishing manifest, reflective, and formative constructs -- Number of Items per Scaled Index -- Routing -- Matrix Sampling -- Log file data -- References -- 6 PISA 2022 ICT Framework -- Introduction -- Why develop a framework to assess the integration of information and communication technologies in teaching and learning? …”