Tabla de Contenidos: “…Cover -- Contents -- Foreword -- Preface -- Acknowledgments -- About the Authors -- List of Acronyms -- 1 Evolution of Cellular Technologies -- 1.1 Introduction -- 1.2 Evolution of Mobile Broadband -- 1.2.1 First Generation Cellular Systems -- 1.2.2 2G Digital Cellular Systems -- 1.2.3 3G Broadband Wireless Systems -- 1.2.4 Beyond 3G: HSPA+, WiMAX, and LTE -- 1.2.5 Summary of Evolution of 3GPP Standards -- 1.3 The Case for LTE/SAE -- 1.3.1 Demand Drivers for LTE -- 1.3.2 Key Requirements of LTE Design -- 1.4 Key Enabling Technologies and Features of LTE -- 1.4.1 Orthogonal Frequency Division Multiplexing (OFDM) -- 1.4.2 SC-FDE and SC-FDMA -- 1.4.3 Channel Dependent Multi-user Resource Scheduling -- 1.4.4 Multiantenna Techniques -- 1.4.5 IP-Based Flat Network Architecture -- 1.5 LTE Network Architecture -- 1.6 Spectrum Options and Migration Plans for LTE -- 1.7 Future of Mobile Broadband-Beyond LTE -- 1.8 Summary and Conclusions -- Part I: LTE Tutorials -- 2 Wireless Fundamentals -- 2.1 Communication System Building Blocks -- 2.2 The Broadband Wireless Channel: Path Loss and Shadowing -- 2.3 Cellular Systems -- 2.4 The Broadband Wireless Channel: Fading -- 2.5 Modelling Broadband Fading Channels -- 2.6 Mitigation of Narrowband Fading -- 2.7 Mitigation of Broadband Fading -- 2.8 Chapter Summary -- 3 Multicarrier Modulation -- 3.1 The Multicarrier Concept -- 3.2 OFDM Basics -- 3.3 OFDM in LTE -- 3.4 Timing and Frequency Synchronization -- 3.5 The Peak-to-Average Ratio -- 3.6 Single-Carrier Frequency Domain Equalization (SC-FDE) -- 3.7 The Computational Complexity Advantage of OFDM and SC-FDE -- 3.8 Chapter Summary -- 4 Frequency Domain Multiple Access: OFDMA and SC-FDMA -- 4.1 Multiple Access for OFDM Systems -- 4.2 Orthogonal Frequency Division Multiple Access (OFDMA) -- 4.3 Single-Carrier Frequency Division Multiple Access (SC-FDMA)…”

Tabla de Contenidos: “…. -- Sort Views for Quick Comparison -- Filter Views to Find the Right Information -- Aggregations for Measures-Sums, Averages, and More -- Use Percentages to Find the Right Ratios -- Spotlight Your View to Emphasize Important Values -- Add Totals and Subtotals -- Create a Motion Chart After Connecting to a New Data Source -- Chapter 8: Essential Calculations and Models-Quick Calculations, Custom Table Calculations, Reference Lines, Trend Lines, a... -- Quick Table Calculations -- Custom Table Calculations Using Data in Your Views -- Reference Lines, Bands, and Distributions -- Model Your Data with Trend Lines -- Forecasting -- Chapter 9: Managing Data Is Critical for Great Results-Data Items and Data Management in Tableau -- Data Items: Names, Types, Roles, Properties, Attributes, and Hierarchies -- Data Item Names -- Data Item Types -- Data Item Roles: Dimensions and Measures -- Data Item Roles: Continuous vs. …”

Tabla de Contenidos: “…-- A final note on these scenarios -- Part III The Strategies -- Chapter 9 The FramingStrategies -- The Budget Management Strategy -- The Cash Flow Management Strategy -- The Debt Reduction Strategy -- The Risk Assessment Strategy -- Chapter 10 The Investment Strategies -- The Diversification Strategy -- The Dollar Cost Averaging Strategy -- The Investment Structure Strategy -- The Asset Allocation Strategy -- The Asset Selection Strategy -- The Investment Selection Strategy -- The Franking Credit Strategy -- The Fee Reduction Strategy -- The Appropriate Tax Strategy -- The Gearing Strategy -- Chapter 11 The Superannuation Strategies -- The Super Vehicle Strategy -- The Consolidation Strategy -- The Contribution Strategies -- The Contribution Catch-up Strategy -- The Super Splitting Strategy -- The Spouse Contribution Strategy -- The Government Co-contribution Strategy -- The Re-contribution Strategy -- The Appropriate Super Fees Strategy -- The Appropriate Tax in Super Strategy -- The Downsizing Contribution Strategy -- The Super Investment Strategies -- Chapter 12 The Retirement Strategies -- The Retirement Readiness Strategy -- The Transition to Retirement Strategy -- The Retirement Income Vehicles Strategy -- The Retirement Investment Strategies -- The Appropriate Retirement Fees Strategy -- The Appropriate Tax in Retirement Strategy -- Chapter 13 The Wealth Protection Strategies -- The Income Protection Strategy -- The Trauma Protection Strategy -- The Total and Permanent Disability Protection Strategy -- The Life Protection Strategy -- The Key Person Protection Strategy -- Chapter 14 The Estate Planning Strategies…”

Tabla de Contenidos: “…Soft Power in The Age Of Online Platforms <BR><EM>Alessandra Massa and Giuseppe Anzera</EM></P><P>19. On The Soft Power of Values: The 'Scotland Is Now' Campaign<BR><EM>Alastair Mackie and Katerina Strani</EM></P><P>20. …”

Tabla de Contenidos: “…5.7 Application to the Pareto Distribution -- 5.8 Application to Continuous Degradation Processes -- 5.8.1 Problem Statement -- 5.8.2 RUL for Wiener Process With Drift -- 5.8.3 RUL for Gamma Process -- 5.9 Exercises -- Bibliography -- 6 Properties of the Dg Metric -- 6.1 Introduction -- 6.2 Derivative of G(t) -- 6.3 Differential Equation for MRL -- 6.3.1 Example: The Rayleigh Distribution -- 6.3.2 Other Example: The Gamma Distribution -- 6.4 Second Derivative of G(t) -- 6.4.1 Weibull Distribution -- 6.4.2 Gamma Distribution -- 6.5 Upper Bound for the Average RUL Loss Rate -- 6.6 Exercises -- Bibliography -- 7 Multiple Failure Or Degradation Modes -- 7.1 Introduction -- 7.2 General Formulation -- 7.3 Illustration in Special Case -- 7.4 Exercises -- Bibliography -- 8 Statistical Estimation Aspects -- 8.1 Introduction -- 8.2 Nonparametric Estimation -- 8.3 Parametric Estimation-Illustration On Two Case Studies -- 8.3.1 Parametric Estimation: The Maximum Likelihood Estimation Method -- 8.3.1.1 Maximum Likelihood Estimator -- 8.3.1.2 Desirable Properties of the Maximum Likelihood Estimator -- 8.3.1.3 Derivation of a Confidence Interval -- 8.3.2 First Case Study: Light-Emitting Diodes (LEDs) -- 8.3.3 Second Case Study: Redundant System -- 8.4 Surrogate Model for the G(t) Transformation -- 8.5 Bayesian Estimation -- 8.6 Exercises -- Bibliography -- 9 Implications for Maintenance Optimization -- 9.1 Introduction -- 9.2 Maintenance Decisions: Balancing Costs and Risks -- 9.3 Quantifying Costs and Risks -- 9.3.1 Rejuvenation and Maintenance Efficiency -- 9.3.2 Minimal Maintenance (ABAO) -- 9.3.3 Perfect Maintenance (AGAN) -- 9.4 Predictive Maintenance -- 9.5 Exercises -- Bibliography -- 10 Advanced Topics and Further Research -- 10.1 The Gini Index -- 10.2 Entropy and the K Parameter -- 10.2.1 Entropy -- 10.2.2 Differential Entropy…”

Tabla de Contenidos:

Tabla de Contenidos: “…Efficient indoor proximity and separation detection for location fingerprinting / Mikkel Baun Kjærgaard [and others] -- An approach to increase the scalability of location systems in WLAN networks / Israel Martin-Escalona, Francisco Barcelo-Arroyo -- Name-based location service for mobile agents in wireless sensor networks / Shunichiro Suenaga, Shinichi Honiden -- Localization using neural networks in wireless sensor networks / Ali Shareef, Yifeng Zhu, Mohamad Musavi -- Middleware-based solution to offer mobile presence services / Victoria Beltran, Josep Paradells -- Supporting location-aware services for mobile users with the whereabouts diary / Nicola Bicocchi [and others] -- Bridging context management systems for different types of pervasive computing environments / Cristian Hesselman [and others] -- Middleware for multi-interfaces management through profiles handling / Jean-Marie Bonnin [and others] -- Semantic middleware for context services composition in ubiquitous computing / Abdelghani Chibani, Karim Djouani, Yacine Amirat -- Nano-kernel: a dynamically reconfigurable kernel for WSN / Susmit Bagchi -- RCCT: robust clustering with cooperative transmission for energy efficient wireless sensor networks / Mahbod Ghelichi, Seied Kazem Jahanbakhsh, Esmaeil Sanaei -- Design guidelines for integration of wireless sensor networks with enterprise systems / Laurent Gomez, Annett Laube, Alessandro Sorniotti -- Hardware support for a wireless sensor network virtual machine / Hitoshi Oi -- Virtual access points for vehicular networks / Nikolaos Frangiadakis [and others] -- Using SELinux security enforcement in Linux-based embedded devices / Björn Vogel, Bernd Steinke -- New efficient intrusion detection and prevention system for Bluetooth networks / Keijo M.J. …”

Tabla de Contenidos: “…Conté: Prólogo -- Parte primera: Alertas contra la subversión : 1. La República crea dos dispositivos de vigilancia : La “vieja memoria” – Tiempos convulsos de rodaje del nuevo régimen – Un primer dispositivo: Gobernación y Guerra contra actividades comunistas – Otro dispositivo: Estado y Gobernación contra los manejos monárquicos en Francia – Propaganda contra la República --2. …”

Tabla de Contenidos: “…Limited System 348 -- References 349 -- 7 Other Topics in Digital Mobile Radio Transmission 355 -- 7.1 Diversity Transmission System 355 -- 7.1.1 Probability Density Function of SNR for -- Diversity System 357 -- 7.1.2 Average Error Rate for Diversity Systems 360 -- 7.1.3 Multiple Transmitter Diversity System 367 -- 7.1.4 Antenna Selection Diversity System 370 -- 7.2 Multi?]…”

Tabla de Contenidos: “…. -- UTILIZANDO LAMBDA -- CAMBIOS NECESARIOS EN EL GRADLE- LAMBDA -- VOLVIENDO A EJECUTAR LA APLICACIÓN SUMA -- APP ALERTA -- CREACIÓN DEL SPLASH -- EJECUTANDO LA APLICACIÓN -- VOLVIENDO A EJECUTAR LA APLICACIÓN -- ASYNCTASK. -- VOLVIENDO A EJECUTAR LA APLICACIÓN -- BUENAS PRÁCTICAS USANDO FRAGMENTS EN ANDROID -- FRAGMENTO TOMANDO EL CONTROL -- CREACIÓN DEL FRAGMENTO: MAINACTIVITYFRAGMENT -- LAMBDA -- ALMACENAMIENTO DE FICHEROS -- MÉTODO RELLENAREDITTEXTS -- MÉTODO PARA SALVAR LA CONFIGURACION: ACTUALIZARARCHIVOALARMAS -- BOTÓN CONFIGURACIÓN: SAVE_CONFIG -- MÉTODO STARTVOICERECOGNITIONACTIVITY -- MÉTODO ONACTIVITYRESULT -- MÉTODO ENVIOBOTONSOS -- BOTÓN CONFIGURACIÓN: SAVE_CONFIG -- MÉTODO SENDSMS -- MÉTODO TOMARFOTOPINTARLA -- APP PAGO -- EJECUTANDO LA APLICACIÓN -- MOSTRANDO PANTALLA COMPLETA -- VOLVIENDO A EJECUTAR LA APLICACIÓN -- CODIFICACIÓN DEL SPLASH -- VOLVIENDO A EJECUTAR LA APLICACIÓN -- APP RSS1 -- ALGO DE TEORÍA -- CREAND APP RSS1 -- 10- ALMACENAMIENTO -- INTRODUCCIÓN A MANEJO DE FICHEROS -- ALMACENAMIENTO…”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright -- Contents -- Preface -- Acknowledgements -- Glossary -- Chapter 1 Introduction -- 1.1 Background -- 1.2 Signal Estimation -- 1.3 Model‐Based Processing -- 1.4 Model‐Based Identification -- 1.5 Subspace Identification -- 1.6 Notation and Terminology -- 1.7 Summary -- MATLAB Notes -- References -- Problems -- Chapter 2 Random Signals and Systems -- 2.1 Introduction -- 2.2 Discrete Random Signals -- 2.3 Spectral Representation of Random Signals -- 2.4 Discrete Systems with Random Inputs -- 2.4.1 Spectral Theorems -- 2.4.2 ARMAX Modeling -- 2.5 Spectral Estimation -- 2.5.1 Classical (Nonparametric) Spectral Estimation -- 2.5.1.1 Correlation Method (Blackman-Tukey) -- 2.5.1.2 Average Periodogram Method (Welch) -- 2.5.2 Modern (Parametric) Spectral Estimation -- 2.5.2.1 Autoregressive (All‐Pole) Spectral Estimation -- 2.5.2.2 Autoregressive Moving Average Spectral Estimation -- 2.5.2.3 Minimum Variance Distortionless Response (MVDR) Spectral Estimation -- 2.5.2.4 Multiple Signal Classification (MUSIC) Spectral Estimation -- 2.6 Case Study: Spectral Estimation of Bandpass Sinusoids -- 2.7 Summary -- Matlab Notes -- References -- Problems -- Chapter 3 State‐Space Models for Identification -- 3.1 Introduction -- 3.2 Continuous‐Time State‐Space Models -- 3.3 Sampled‐Data State‐Space Models -- 3.4 Discrete‐Time State‐Space Models -- 3.4.1 Linear Discrete Time‐Invariant Systems -- 3.4.2 Discrete Systems Theory -- 3.4.3 Equivalent Linear Systems -- 3.4.4 Stable Linear Systems -- 3.5 Gauss-Markov State‐Space Models -- 3.5.1 Discrete‐Time Gauss-Markov Models -- 3.6 Innovations Model -- 3.7 State‐Space Model Structures -- 3.7.1 Time‐Series Models -- 3.7.2 State‐Space and Time‐Series Equivalence Models -- 3.8 Nonlinear (Approximate) Gauss-Markov State‐Space Models -- 3.9 Summary -- MATLAB Notes -- References…”

Tabla de Contenidos: “…Format the X-Axis and Legend of a Waterfall Chart -- Format the X‐Axis and Legend a Waterfall Chart -- Add and Format Breakdowns in a Waterfall Chart -- Add and Format Breakdowns in a Waterfall Chart -- Create, Format, and Label a Funnel Chart -- Create, Format, and Label a Funnel Chart -- Create, Format, and Label a Funnel Chart (continued) -- Create, Format, and Label a Funnel Chart (continued) -- Create a Pie Chart or Donut Chart -- Create a Pie Chart or Donut Chart -- Format a Pie Chart or Donut Chart -- Format a Pie Chart or Donut Chart -- Create a Treemap Chart -- Create a Treemap Chart -- Format a Treemap Chart -- Format a Treemap Chart -- Chapter 7 Showing Geographic Data on Maps -- Create a Proportional Symbol Map -- Create a Proportional Symbol Map -- Create a Choropleth Map -- Create a Choropleth Map -- Add Conditional Formatting to a Choropleth Map -- Add Conditional Formatting to a Choropleth Map -- Enable Power BI's Preview Features -- Enable Power BI's Preview Features -- Create an Isarithmic Map -- Create an Isarithmic Map -- Create a Skyscraper Map -- Create a Skyscraper Map -- Chapter 8 Using Calculated Columns and DAX -- Understanding DAX and Why You Should Use It -- Add All Numbers in a Column -- Add All Numbers in a Column -- Perform Division -- Perform Division -- Check a Condition -- Check a Condition -- Count the Number of Cells in a Column -- Count the Number of Cells in a Column -- Return the Average of All Numbers in a Column -- Return the Average of All Numbers in a Column -- Join Two Text Strings into One Text String -- Join Two Text Strings into One Text String -- Apply Conditional Formatting in Tables -- Apply Conditional Formatting in Tables -- Apply Conditional Formatting in Tables (continued) -- Apply Conditional Formatting in Tables (continued) -- Chapter 9 Using Analytics and Machine Learning -- Identify Outliers…”

Tabla de Contenidos: “…Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- Foreword -- Preface -- Acknowledgments -- Chapter 1: Introduction -- 1.1 WIND ENERGY BACKGROUND -- 1.2 ORGANIZATION OF THIS BOOK -- 1.2.1 Who Should Use This Book -- 1.2.2 Note for Instructors -- 1.2.3 Datasets Used in the Book -- Part I: Wind Field Analysis -- Chapter 2: A Single Time Series Model -- 2.1 TIME SCALE IN SHORT- TERM FORECASTING -- 2.2 SIMPLE FORECASTING MODELS -- 2.2.1 Forecasting Based on Persistence Model -- 2.2.2 Weibull Distribution -- 2.2.3 Estimation of Parameters in Weibull Distribution -- 2.2.4 Goodness of Fit -- 2.2.5 Forecasting Based on Weibull Distribution -- 2.3 DATA TRANSFORMATION AND STANDARDIZATION -- 2.4 AUTOREGRESSIVE MOVING AVERAGE MODELS -- 2.4.1 Parameter Estimation -- 2.4.2 Decide Model Order -- 2.4.3 Model Diagnostics -- 2.4.4 Forecasting Based on ARMA Model -- 2.5 OTHER METHODS -- 2.5.1 Kalman Filter -- 2.5.2 Support Vector Machine -- 2.5.3 Artificial Neural Network -- 2.6 PERFORMANCE METRICS -- 2.7 COMPARING WIND FORECASTING METHODS -- Chapter 3: Spatio temporal Models -- 3.1 COVARIANCE FUNCTIONS AND KRIGING -- 3.1.1 Properties of Covariance Functions -- 3.1.2 Power Exponential Covariance Function -- 3.1.3 Kriging -- 3.2 SPATIO-TEMPORAL AUTOREGRESSIVE MODELS -- 3.2.1 Gaussian Spatio-temporal Autoregressive Model -- 3.2.2 Informative Neighborhood -- 3.2.3 Forecasting and Comparison -- 3.3 SPATIO-TEMPORAL ASYMMETRY AND SEPARABILITY -- 3.3.1 Definition and Quantification -- 3.3.2 Asymmetry of Local Wind Field -- 3.3.3 Asymmetry Quantification -- 3.3.4 Asymmetry and Wake Effect -- 3.4 ASYMMETRIC SPATIO-TEMPORAL MODELS -- 3.4.1 Asymmetric Non-separable Spatio-temporal Model -- 3.4.2 Separable Spatio-temporal Models -- 3.4.3 Forecasting Using Spatio-temporal Model -- 3.4.4 Hybrid of Asymmetric Model and SVM -- 3.5 CASE STUDY…”

Tabla de Contenidos: “…. -- Classroom Name -- Number of Classes -- Software/code -- Average age -- Participants -- Coding -- 3 -- JavaScript -- 32 -- 9 -- Photogrammetry -- 6 -- Regard 3D Mesh Lab Cloud Compare -- 25 -- 31 -- 3D modelling -- 5 -- Blender -- 23 -- 29 -- Geographical Information Systems (GIS) -- 6 -- QGIS Pyarchinit -- 26 -- 50 -- Virtual Tour 360° -- 3 -- Pannellum -- 23 -- 15 -- Tot. classrooms -- Tot. courses -- Tot. …”

Tabla de Contenidos: “…6.3 Benefits and Limitations of Using Secondary Data -- 6.4 Classification of Secondary Data Sources -- 6.5 Roadmap to Use Secondary Data -- Summary -- Key Terms -- Discussion Questions -- Case Study -- 7 Data Collection: Survey and Observation -- 7.1 Introduction -- 7.2 Survey Method of Data Collection -- 7.3 A Classification of Survey Methods -- 7.4 Evaluation Criteria for Survey Methods -- 7.5 Observation Techniques -- 7.6 Classification of Observation Methods -- 7.7 Advantages of Observation Techniques -- 7.8 Limitations of Observation Techniques -- Summary -- Key Terms -- Discussion Questions -- Case Study -- 8 Experimentation -- 8.1 Introduction -- 8.2 Defining Experiments -- 8.3 Some Basic Symbols and Notations in Conducting Experiments -- 8.4 Internal and External Validity in Experimentation -- 8.5 Threats to the Internal Validity of the Experiment -- 8.6 Threats to the External Validity of the Experiment -- 8.7 Ways to Control Extraneous Variables -- 8.8 Laboratory Versus Field Experiment -- 8.9 Experimental Designs and their Classification -- 8.10 Limitations of Experimentation -- 8.11 Test Marketing -- Summary -- Key Terms -- Discussion Questions -- Case Study -- 9 Fieldwork and Data Preparation -- 9.1 Introduction -- 9.2 Fieldwork Process -- 9.3 Data Preparation -- 9.4 Data Preparation Process -- 9.5 Data Analysis -- Summary -- Key Terms -- Discussion Questions -- Case Study -- IV Descriptive Statistics and Data Analysis -- 10 Descriptive Statistics: Measures of Central Tendency -- 10.1 Introduction -- 10.2 Central Tendency -- 10.3 Measures of Central Tendency -- 10.4 Prerequisites for an Ideal Measure of Central Tendency -- 10.5 Mathematical Averages -- 10.6 Positional Averages -- 10.7 Partition Values: Quartiles, Deciles, and Percentiles -- Summary -- Key Terms -- Discussion Questions -- Numerical Problems -- Case Study…”

Tabla de Contenidos: “…EL EJÉRCITO DEL AIRE --Los antecedentes --La reorganización de 1978 --La reorganización de los noventa --La reorganización del siglo XXI --Los sistemas de armas --La Red de Alerta y Control --Capítulo doce. LOS RECURSOS HUMANOS --Los cuadros de mando --El fin del servicio militar --La profesionalización --La mujer en las Fuerzas Armadas --Capítulo trece. …”
Enlace del recurso

Tabla de Contenidos: “…Procedimientos de actuación frente a alertas alimentarias -- 8. Análisis de Peligros y Puntos de Control Críticos (APPCC). …”

Tabla de Contenidos: “…Wong, Sorin Istrail -- Extracting significant sample-specific cancer mutations using their protein interactions / Liviu Badea -- The stream algorithm: Computationally efficient ridge-regression via Bayesian model averaging, and applications to pharmacogenomic prediction of cancer cell line sensitivity / Elias Chaibub Neto ... …”

Tabla de Contenidos: “…ORGANIC POLYMERS -- ELASTOMERS -- 7 Thermal Behavior -- 7.1 Heat Capacity -- 7.2 Thermal Expansion -- 7.3 Thermal Conductivity -- 7.4 Thermal Shock -- 8 Failure Analysis and Prevention -- 8.1 Impact Energy -- 8.2 Fracture Toughness -- 8.3 Fatigue -- 8.4 Nondestructive Testing -- 8.5 Failure Analysis and Prevention -- 9 Phase Diagrams-Equilibrium Microstructural Development -- 9.1 The Phase Rule -- 9.2 The Phase Diagram -- COMPLETE SOLID SOLUTION -- EUTECTIC DIAGRAM WITH NO SOLID SOLUTION -- EUTECTIC DIAGRAM WITH LIMITED SOLID SOLUTION -- EUTECTOID DIAGRAM -- PERITECTIC DIAGRAM -- GENERAL BINARY DIAGRAMS -- 9.3 The Lever Rule -- 9.4 Microstructural Development During Slow Cooling -- 10 Kinetics-Heat Treatment -- 10.1 Time-The Third Dimension -- 10.2 The TTT Diagram -- DIFFUSIONAL TRANSFORMATIONS -- DIFFUSIONLESS (MARTENSITIC) TRANSFORMATIONS -- HEAT TREATMENT OF STEEL -- 10.3 Hardenability -- 10.4 Precipitation Hardening -- 10.5 Annealing -- COLD WORK -- RECOVERY -- RECRYSTALLIZATION -- GRAIN GROWTH -- 10.6 The Kinetics of Phase Transformations for Nonmetals -- PART II Materials and Their Applications -- 11 Structural Materials-Metals, Ceramics, and Glasses -- 11.1 Metals -- FERROUS ALLOYS -- NONFERROUS ALLOYS -- 11.2 Ceramics and Glasses -- CERAMICS-CRYSTALLINE MATERIALS -- GLASSES-NONCRYSTALLINE MATERIALS -- GLASS-CERAMICS -- 11.3 Processing the Structural Materials -- PROCESSING OF METALS -- PROCESSING OF CERAMICS AND GLASSES -- 12 Structural Materials-Polymers and Composites -- 12.1 Polymers -- POLYMERIZATION -- STRUCTURAL FEATURES OF POLYMERS -- THERMOPLASTIC POLYMERS -- THERMOSETTING POLYMERS -- ADDITIVES -- 12.2 Composites -- FIBER-REINFORCED COMPOSITES -- AGGREGATE COMPOSITES -- PROPERTY AVERAGING -- MECHANICAL PROPERTIES OF COMPOSITES -- 12.3 Processing the Structural Materials -- PROCESSING OF POLYMERS -- PROCESSING OF COMPOSITES…”

Tabla de Contenidos: “…Across dimensions at the context level, there were significant oscillations in fragility from 2019 to 2021 even as fragility increased on average in extremely fragile contexts -- Infographic 1.1. …”