Tabla de Contenidos: “…9.5.1 Findings: Vehicle Detection Across Multiple Images -- 9.5.2 Findings: Vehicle Detection Performance on an MP4 File -- 9.5.3 Findings: Vehicle Detection on Livestream Camera -- 9.5.4 Findings: Iteration 3 -- 9.5.5 Addressing the Research Questions -- 9.5.6 Assessment of Suitability -- 9.5.7 Future Improvements -- 9.6 Conclusion -- References -- Chapter 10 A Review on Applications of the Standard Series IEC 61850 in Smart Grid Applications -- 10.1 Introduction -- 10.2 Overview of IEC 61850 Standards -- 10.3 IEC 61850 Protocols and Substandards -- 10.3.1 IEC 61850 Standards and Classifications -- 10.3.2 Basics of IEC 61850 Architecture Model -- 10.3.3 IEC 61850 Class Model -- 10.3.4 IEC 61850 Logical Interfaces (Functional Hierarchy of IEC 61850) -- 10.4 IEC 61850 Features -- 10.4.1 MMS -- 10.4.2 GOOSE -- 10.4.3 Sampled Measured Value (SMV) or SV -- 10.4.4 R‐GOOSE and R‐SV -- 10.4.4.1 Application in Transmission Systems -- 10.4.4.2 Application in Distribution Systems -- 10.4.5 Web Services -- 10.5 Relevant Application -- 10.5.1 Substation Automation System (SAS) -- 10.5.2 Energy Management System (EMS) -- 10.5.3 Distribution Management System (DMS) -- 10.5.3.1 Feeder Balancing and Loss Minimization Distribution -- 10.5.3.2 Voltage/VAR Optimization (VVO) and Conservation Voltage Reduction -- 10.5.3.3 Fault Location, Isolation, and Service Restoration -- 10.5.4 Distribution Automation (DA) -- 10.5.4.1 Voltage/VAR Control -- 10.5.4.2 Fault Detection and Isolation -- 10.5.4.3 Service Restoration Use Case -- 10.5.5 Distributed Generation and Demand Response Management (Distributed Energy Resource [DER]) -- 10.5.5.1 Storage -- 10.5.5.2 Solar Panels -- 10.5.5.3 Wind Farm -- 10.5.5.4 Virtual Power Plant (VPP) -- 10.5.6 Advanced Metering Infrastructure (AMI) -- 10.5.7 Electric Vehicle (EV)…”

Tabla de Contenidos: “…Tuples, Sets, and Dictionaries -- 14.1 Introduction -- 14.2 Tuples -- 14.3 Sets -- 14.4 Comparing the Performance of Sets and Lists -- 14.5 Case Study: Counting Keywords -- 14.6 Dictionaries -- 14.7 Case Study: Occurrences of Words -- Chapter 15. …”

Tabla de Contenidos: “…6.4 Challenges for Wireless On-Chip Communication -- 6.4.1 Performance and Area Analysis -- 6.4.2 Crosstalk Between Inductive Links -- 6.4.3 Crosstalk Noise on Adjacent On-Chip Components -- 6.4.3.1 Crosstalk effects due to an inductive link -- 6.4.3.2 Case study -- 6.4.3.3 Crosstalk noise effects caused by inductive link arrays -- 6.4.3.4 Noise sensitivity of power network topologies -- 6.5 Intertier Power Transfer -- 6.6 Summary -- 7 Interconnect Prediction Models -- 7.1 Interconnect Prediction Models for Two-Dimensional Circuits -- 7.2 Interconnect Prediction Models for Three-Dimensional ICs -- 7.3 Projections for Three-Dimensional ICs -- 7.4 Summary -- 8 Cost Considerations for Three-Dimensional Integration -- 8.1 Through Silicon Via Processing Options -- 8.1.1 TSV Flows and Geometries -- 8.1.2 Cost Comparison of Through Silicon Via Processing Steps -- 8.1.2.1 Through silicon via lithography -- 8.1.2.2 Through silicon via silicon etch -- 8.1.2.3 Through silicon via liner processing -- 8.1.2.4 Through silicon via liner opening for through silicon via last flow -- 8.1.2.5 Through silicon via barrier and Cu seed processing -- 8.1.2.6 Through silicon via Cu plating and effect on chemical mechanical planarization -- 8.1.2.7 Through silicon via chemical mechanical planarization processing -- 8.1.2.8 Backside processing -- 8.1.3 Comparison of Through Silicon Via Processing Cost -- 8.1.3.1 Processing of the 5×50 through silicon via geometry -- 8.1.3.2 Processing of the 10×100 through silicon via geometry -- 8.1.3.3 Scaling through silicon via geometries -- 8.2 Interposer-Based Systems Integration -- 8.2.1 Cost of Interposer Manufacturing Features -- 8.2.1.1 Cost of through silicon via processing -- 8.2.1.2 Cost of die-to-die interconnect processing -- 8.2.1.3 Cost of processing metal planes and metal-insulator-metal capacitors…”

Tabla de Contenidos: “…9.2.3 Review of Current Solutions -- 9.2.4 Current Treatment -- 9.3 Technology -- 9.3.1 Touchless User Interface -- 9.3.2 IR Sensor Working Principle -- 9.4 IoT Sensors and Board -- 9.4.1 Arduino UNO Board -- 9.4.2 Arduino USB Cable -- 9.4.3 Pulse Rate Sensor -- 9.4.4 IR Sensor -- 9.4.5 Temperature Sensors -- 9.4.6 Proximity Sensors -- 9.4.7 Pressure Sensors -- 9.4.8 LCD Display -- 9.4.9 Relay -- 9.4.10 Power Supply -- 9.4.11 Jumping Wires -- 9.5 Use of IoT in COVID-19 Prevention -- 9.6 Conclusion -- References -- Chapter 10 Role of Satellites in Agriculture -- 10.1 Introduction -- 10.2 Processing Satellite Images -- 10.3 Product Levels of Satellite Remote Sensing Data -- 10.3.1 A Brief Discussion and Review of Analysis Techniques -- 10.3.2 Machine Learning -- 10.3.3 Deep Learning -- 10.4 Future Challenges -- 10.5 Conclusion -- References -- Chapter 11 Search Engine Evaluation Methodology -- 11.1 Introduction -- 11.2 Performance Evaluation Forum -- 11.2.1 Text Retrieval Conference -- 11.2.2 Text Retrieval Conference Tracks -- 11.3 Search Engine Evaluation Parameters -- 11.3.1 Precision -- 11.3.2 Recall -- 11.3.3 Problems with Precision and Recall -- 11.3.4 Discounted Cumulative Gain -- 11.3.5 Normalized DCG -- 11.3.6 Click-Through -- 11.3.7 Eye Tracking -- 11.3.8 Coverage -- 11.3.9 Response Time -- 11.4 Factors Affecting Search Engines -- 11.4.1 Evaluation -- 11.4.2 Query Formulation -- 11.4.3 User Feedback to a Web Page -- 11.4.4 W3 Rules -- 11.4.5 Web Developers' Fake Techniques -- 11.5 Conclusion -- References -- Chapter 12 Synthesis and Analysis of Digital IIR Filters for Denoising ECG Signal on FPGA -- 12.1 Introduction -- 12.2 Literature Survey -- 12.3 Methods and Materials -- 12.3.1 Conversion of MATLAB Code into Verilog HDL -- 12.3.2 Synthesis of Digital Filters on FPGA -- 12.4 Results and Discussion -- 12.4.1 Butterworth Filter…”

Tabla de Contenidos: “…7.2.1 Domino HTTP configuration -- 7.2.2 GZIP network compression -- 7.2.3 Other Domino Web Access configuration settings -- 7.2.4 Additional notes.ini parameters for Domino Web Access -- 7.3 Performance comparison: Linux and Windows -- 7.3.1 Specifications of test machines -- 7.3.2 Overview of results -- Part 3 Clients for Domino Web Access -- Chapter 8. …”

Tabla de Contenidos: “…Cover -- Brief Contents -- Contents -- Preface -- Unit I: Introduction to Corporate Finance -- Chapter 1: Introduction to Financial Management -- 1.1 Introduction -- 1.2 Finance Functions -- 1.2.1 Financing Decisions -- 1.2.2 Investment Decisions -- 1.2.3 Liquidity Decisions -- 1.2.4 Dividend Decisions -- 1.2.5 Decisions Regarding the Reporting, Monitoring and Controlling of Funds -- 1.3 The Role of the Finance Manager -- 1.3.1 The Functions of a Finance Manager -- 1.3.1.1 Forecasting and planning -- 1.3.1.2 Analysing and evaluating the investment activities -- 1.3.1.3 Coordination and control -- 1.3.1.4 Understanding the finance market -- 1.3.1.5 Risk management -- 1.3.1.6 Performance measurement -- 1.3.2 The Role of a Finance Manager in the Indian Context -- 1.4 The Goals of a Firm -- Business Insight 1.1: Difference Between Financial Services and Corporate Finance -- 1.4.1 Non-financial Goals -- 1.4.1.1 Enhancing employee satisfaction and welfare -- 1.4.1.2 Management satisfaction -- 1.4.1.3 Social objective -- 1.4.1.4 Quality service to customers -- 1.4.2 Financial Goals -- 1.4.2.1 Target market share -- 1.4.2.2 Sustaining and maintaining the business position -- 1.4.2.3 Maintaining financial liquidity and solvency -- 1.4.2.4 Profit maximization -- 1.4.2.5 Maximizing shareholders' wealth -- Business Snapshot 1.1: Vision, Mission and Objectives of Hindustan Aeronautics Limited (HAL) -- Business Snapshot 1.2: Tata Tea Aims to Increase its Market Share -- Business Insight 1.2: Understanding Solvency -- 1.5 Profit and Wealth Maximization -- 1.5.1 Profit Maximization -- Business Snapshot 1.3: Godrej and EVA -- 1.5.2 Wealth Maximization -- 1.6 Management Versus Shareholders -- 1.7 Fields Related to Finance -- 1.7.1 Economics -- 1.7.2 Accounting -- 1.8 Finance and Other Functional Areas -- 1.8.1 Marketing -- 1.8.2 Distribution and Selling…”

Tabla de Contenidos: “…6 Real-time queries with Azure Stream Analytics -- 6.1 Creating a Stream Analytics service -- 6.1.1 Elements of a Stream Analytics job -- 6.1.2 Create an ASA job using the Azure portal -- 6.1.3 Create an ASA job using Azure PowerShell -- 6.2 Configuring inputs and outputs -- 6.2.1 Event Hub job input -- 6.2.2 ASA job outputs -- 6.3 Creating a job query -- 6.3.1 Starting the ASA job -- 6.3.2 Failure to start -- 6.3.3 Output exceptions -- 6.4 Writing job queries -- 6.4.1 Window functions -- 6.4.2 Machine learning functions -- 6.5 Managing performance -- 6.5.1 Streaming units -- 6.5.2 Event ordering -- 6.6 Exercises -- 6.6.1 Exercise 1 -- 6.6.2 Exercise 2 -- Summary -- 7 Batch queries with Azure Data Lake Analytics -- 7.1 U-SQL language -- 7.1.1 Extractors -- 7.1.2 Outputters -- 7.1.3 File selectors -- 7.1.4 Expressions -- 7.2 U-SQL jobs -- 7.2.1 Selecting the biometric data files -- 7.2.2 Schema extraction -- 7.2.3 Aggregation -- 7.2.4 Writing files -- 7.3 Creating a Data Lake Analytics service -- 7.3.1 Using Azure portal -- 7.3.2 Using Azure PowerShell -- 7.4 Submitting jobs to ADLA -- 7.4.1 Using Azure portal -- 7.4.2 Using Azure PowerShell -- 7.5 Efficient U-SQL job executions -- 7.5.1 Monitoring a U-SQL job -- 7.5.2 Analytics units -- 7.5.3 Vertexes -- 7.5.4 Scaling the job execution -- 7.6 Using Blob Storage -- 7.6.1 Constructing Blob file selectors -- 7.6.2 Adding a new data source -- 7.6.3 Filtering rowsets -- 7.7 Exercises -- 7.7.1 Exercise 1 -- 7.7.2 Exercise 2 -- Summary -- 8 U-SQL for complex analytics -- 8.1 Data Lake Analytics Catalog -- 8.1.1 Simplifying U-SQL queries -- 8.1.2 Simplifying data access -- 8.1.3 Loading data for reuse -- 8.2 Window functions -- 8.3 Local C# functions -- 8.4 Exercises -- 8.4.1 Exercise 1 -- 8.4.2 Exercise 2 -- Summary -- 9 Integrating with Azure Data Lake Analytics -- 9.1 Processing unstructured data…”

“…Using case histories, he illustrates practical diagnostic analysis of reservoir performance, covers essentials of transient well test analysis, and presents leading secondary and enhanced oil recovery methods. …”

Tabla de Contenidos: “…Beyond the basics -- 7 Performance and scaling -- 7.1 Threading and processes to scale with workers -- 7.1.1 Seeing workers in action -- 7.1.2 Worker constraints -- 7.1.3 Controlling output plugin threads -- 7.1.4 Memory management optimization -- 7.2 Scaling and moving workloads -- 7.2.1 Fan-in/log aggregation and consolidation -- 7.2.2 Fan-out and workload distribution -- 7.2.3 High availability -- 7.2.4 Putting a high-availability comparison into action -- 7.3 Fluentd scaling in containers vs. native and virtual environments -- 7.3.1 Kubernetes worker node configuration -- 7.3.2 Per-cluster configuration -- 7.3.3 Container as virtualization -- 7.3.4 Sidecar pattern -- 7.3.5 Options comparison -- 7.4 Securing traffic between Fluentd nodes -- 7.4.1 TLS configuration -- 7.4.2 TLS not just for encryption -- 7.4.3 Certificate and private key storage -- 7.4.4 Security is more than certificates -- 7.5 Credentials management -- 7.5.1 Simple credentials use case -- 7.5.2 Putting certification into action -- Summary…”

“…IBM Tivoli Intelligent ThinkDynamic Orchestrator and IBM Tivoli Provisioning Manager automate the traditional manual provisioning process, performance measurement, capacity planning, and infrastructure deployment. …”

Tabla de Contenidos: “…10.3.5 Time-Based Charging -- 10.3.6 Pulse Charging -- 10.3.7 Trickle Charging -- 10.4 Effect of Charge Control on Battery Performance -- 10.5 Charging Circuits -- 10.5.1 Half-Bridge and Full-Bridge Circuits -- 10.5.2 On-Board Charger (Level 1 and Level 2 Chargers) -- 10.5.3 Off-Board Charger (Level 3) -- 10.5.4 Fast Charger -- 10.5.5 Ultra-Fast Charger -- 10.6 Infrastructure Development and Challenges -- 10.6.1 Home Charging Station -- 10.6.2 Workplace Charging Station -- 10.6.3 Community and Highways EV Charging Station -- 10.6.4 Electrical Infrastructure Upgrades -- 10.6.5 Infrastructure Challenges and Issues -- 10.6.6 Commercially Available Charges -- 10.7 Isolation and Safety Requirement for EC Chargers -- References -- 11 Balancing/Balancing Control -- 11.1 Balancing Control Management and Its Significance -- 11.1.1 Two Expressions of Battery Capacity and SoC Inconsistency -- 11.1.2 Significance of Balancing Control Management -- 11.2 Classification of Balancing Control Management -- 11.2.1 Centralized Balancing and Distributed Balancing -- 11.2.2 Discharge Balancing, Charge Balancing, and Bidirectional Balancing -- 11.2.3 Passive Balancing and Active Balancing -- 11.3 Review and Analysis of Active Balancing Technologies -- 11.3.1 Independent-Charge Active Balancing Control -- 11.3.2 Energy-Transfer Active Balancing Control -- 11.3.3 How to Evaluate the Advantages and Disadvantages of an Active Balancing Control Scheme (an Efficiency Problem of Active B -- 11.4 Balancing Strategy Study -- 11.4.1 Balancing Time -- 11.4.2 Variable for Balancing -- 11.5 Two Active Balancing Control Strategies -- 11.5.1 Topologies of Two Active Balancing Schemes -- 11.5.2 Hierarchical Balancing Control Strategy -- 11.5.3 Lead-Acid Battery Transfer Balancing Control Strategy -- 11.6 Evaluation and Comparison of Balancing Control Strategies…”

Tabla de Contenidos: “…-- 1.2 History and Evolution of the Field -- 1.3 Reliability Modeling Approaches -- 1.3.1 Physics of Failure Approach -- 1.3.1.1 Performance-Requirement Model -- 1.3.1.2 Stress-Strength Model -- 1.3.1.3 Damage-Endurance Model -- 1.3.2 Failure Agents -- 1.4 Definitions -- 1.4.1 Reliability -- 1.4.2 Risk -- 1.4.3 Availability and Maintainability -- 1.4.4 Failure Modes and Failure Mechanisms -- 1.5 Systems, Functions, and Failure -- 1.5.1 Failure Modes and Mechanisms for Mechanical Equipment -- 1.5.2 Failure Modes and Mechanisms for Electrical Equipment -- 1.5.3 Human Functions, Failure, and Reliability -- 1.6 Putting It All Together: Risk Assessment Modeling -- 1.7 Exercises -- References -- Chapter 2 Basic Reliability Mathematics: Probability -- 2.1 Introduction -- 2.2 Events and Random Variables Used in Reliability -- 2.3 Sets and Boolean Algebra -- 2.4 Probability Terminology and Interpretations -- 2.4.1 Classical Interpretation of Probability (Equally Likely Concept, or Sample Space Partitioning) -- 2.4.2 Frequency Interpretation of Probability -- 2.4.3 Subjective Interpretation of Probability (Bayesian Probability -- Evidential Probability) -- 2.5 Laws and Mathematics of Probability -- 2.5.1 Definitions -- 2.5.2 Axioms of Probability and Their Implications -- 2.5.3 Mathematics of Probability -- 2.6 Probability Distribution Basics -- 2.6.1 Probability Distributions Defined -- 2.6.2 Distribution Properties -- 2.6.2.1 Central Tendency -- 2.6.2.2 Dispersion, Shape, and Spread -- 2.6.2.3 Covariance and Correlation -- 2.6.2.4 Algebra of Expectations -- 2.7 Probability Distributions Used in Reliability…”

Tabla de Contenidos: “…2.11 RetinaNet -- 2.11.1 Focal loss -- 2.12 Detection performances -- 2.13 Conclusion -- References -- Biographies -- 3 Learning with limited supervision -- 3.1 Introduction -- 3.2 Context-aware active learning -- 3.2.1 Active learning -- 3.2.2 Context in active learning -- 3.2.3 Framework for context-aware active learning -- 3.2.4 Applications -- 3.3 Weakly supervised event localization -- 3.3.1 Network architecture -- 3.3.2 k-max multiple instance learning -- 3.3.3 Coactivity similarity -- 3.3.4 Applications -- 3.4 Domain adaptation of semantic segmentation using weak labels -- 3.4.1 Weak labels for category classification -- 3.4.2 Weak labels for feature alignment -- 3.4.3 Network optimization -- 3.4.4 Acquiring weak labels -- 3.4.5 Applications -- 3.4.6 Output space visualization -- 3.5 Weakly-supervised reinforcement learning for dynamical tasks -- 3.5.1 Learning subgoal prediction -- 3.5.2 Supervised pretraining -- 3.5.3 Applications -- 3.6 Conclusions -- Acknowledgments -- References -- Biographies -- 4 Efficient methods for deep learning -- 4.1 Model compression -- 4.1.1 Parameter pruning -- 4.1.2 Low-rank factorization -- 4.1.3 Quantization -- 4.1.4 Knowledge distillation -- 4.1.5 Automated model compression -- 4.2 Efficient neural network architectures -- 4.2.1 Standard convolution layer -- 4.2.2 Efficient convolution layers -- 4.2.3 Manually designed efficient CNN models -- 4.2.4 Neural architecture search -- 4.2.5 Hardware-aware neural architecture search -- 4.3 Conclusion -- References -- 5 Deep conditional image generation -- 5.1 Introduction -- 5.2 Visual pattern learning: a brief review -- 5.3 Classical generative models -- 5.4 Deep generative models -- 5.5 Deep conditional image generation -- 5.6 Disentanglement for controllable synthesis -- 5.6.1 Disentangle visual content and style -- 5.6.2 Disentangle structure and style…”

Tabla de Contenidos: “…Kovasznay flow -- 5.4 Implementation -- 5.4.1 Data structures and performance implications -- 5.4.2 Matrix and matrix-free implicit solvers -- 5.4.3 Unstructured grid filtering for LES -- 5.4.3.1 Face-based filtering -- 5.4.3.2 Derivative-based filter -- 5.4.3.3 Generalized top-hat filter -- 5.4.3.4 Function based filter -- 5.5 Scale resolving turbulence simulations -- References -- 6 Finite difference methods for turbulence simulations -- 6.1 Introduction -- 6.2 Grid topologies -- 6.2.1 Navier-Stokes equations in curvilinear coordinates -- 6.2.1.1 Conservation laws on curvilinear grids -- 6.2.1.2 The geometric conservation constraint -- 6.2.2 Cartesian octree topologies -- 6.2.3 Numerical considerations for abrupt grid changes -- 6.3 Grid staggering and flux evaluations -- 6.3.1 Primitive variable placement -- 6.3.2 Staggered flux evaluations in collocated variable formulation -- 6.4 Robustness of inviscid flux discretization -- 6.4.1 Linear schemes -- 6.4.1.1 Kinetic energy preservation and entropy consistency -- 6.4.2 Flows with discontinuities -- 6.4.2.1 Nonlinear schemes: WENO interpolation and WCNS -- 6.4.2.2 Artificial dissipation -- 6.5 Finite difference schemes for LES: dispersion/dissipation errors -- 6.5.1 Are low-dispersion error schemes relevant for LES in turbulence-dominated flows? …”

Tabla de Contenidos: “…3.3 Types of Algorithms -- 3.3.1 Brute Force Algorithms -- 3.3.2 Divide and Conquer Algorithms -- 3.3.3 Dynamic Programming Algorithms -- 3.3.4 Greedy Algorithms -- 3.3.5 Branch and Bound Algorithms -- 3.3.6 Recursive Algorithms -- 3.3.7 Back Tracking Algorithms -- 3.3.8 Randomized Algorithms -- 3.3.9 Hill Climbing Algorithms -- 3.4 Performance Analysis -- 3.4.1 Properties of the Best Algorithms -- 3.5 Space Complexity -- 3.5.1 Instruction Space -- 3.5.2 Text Section of a Program -- 3.5.3 Data Space -- 3.5.4 Stack Space -- 3.5.5 Calculating the Instruction Space -- 3.5.6 Calculating the Data Space -- 3.5.7 Size of Data Section -- 3.5.8 Size of Rodata Section -- 3.5.9 Size of bss Section -- 3.6 Apriori Analysis -- 3.7 Asymptotic Notation -- 3.7.1 Big oh Notation (O) -- 3.7.2 Omega Notation (Ω) -- 3.7.3 Theta Notation (θ) -- 3.7.4 Little oh Notation(o) -- 3.8 Time Complexity -- 3.8.1 Time Complexity Analysis of Bubble Sort -- 3.8.2 Time Complexity Analysis of Selection Sort -- 3.9 Worst Case, Average Case and Best Case Complexity -- 3.9.1 Worst Case -- 3.9.2 Average Case -- 3.9.3 Best Case -- Summary -- Exercises -- Chapter 4 Arrays -- 4.1 Introduction -- 4.1.1 Array -- 4.2 Array Types -- 4.2.1 Single-dimensional Array -- 4.2.2 Multi-dimensional Array -- 4.2.3 N-dimensional Array -- 4.3 Array Representation -- 4.4 Initializing Arrays -- 4.5 Accessing Values of an Array -- 4.6 Array Operations -- 4.6.1 Traversing -- 4.6.2 Insertion -- 4.6.3 Deletion -- 4.6.4 Sorting -- 4.6.5 Searching -- 4.7 Arrays as Parameters -- 4.8 Character Sequences -- 4.9 Applications -- Summary -- Exercises -- Chapter 5 Linked List -- 5.1 Introduction -- 5.2 Representation of Linked List in Memory -- 5.2.1 Static Representation -- 5.2.2 Dynamic Representation -- 5.3 Singly Linked List -- 5.3.1 Operations -- 5.4 Circular Linked List -- 5.4.1 Merging of Two Circular Lists…”

Tabla de Contenidos: “…-- 2.5.2 Constituents of a FCV -- 2.5.3 Some Issues Related to Fuel Cells -- Reference -- Chapter 3 HEV Fundamentals -- 3.1 Introduction -- 3.2 Vehicle Model -- 3.3 Vehicle Performance -- 3.4 EV Powertrain Component Sizing -- 3.5 Series Hybrid Vehicle…”

Tabla de Contenidos: “…Un nouveau cadre pour évaluer les performances du marché du travail -- Introduction -- 3.1. …”

Tabla de Contenidos: “…L'intensité des réformes a diminué dans de nombreux domaines, mais des efforts notables ont été déployés pour rendre le marché du travail plus inclusif -- Problèmes de performances et priorités de réforme en 2017 -- Encadré 1.2. …”

Tabla de Contenidos: “…Synoptique des institutions de réglementation dans le secteur des télécommunicatio... -- Tableau V.1. Performances en matière de croissance dans les pays de l'OCDE -- Tableau V.2. …”