Tabla de Contenidos: “…Freight transport networks -- Port capacity -- Road and rail capacity: Adding constraints -- Table 3.A1. Statistical and capacity characterisation of road network -- Table 3.A2. …”

Tabla de Contenidos: “…Royaume-Uni : Segmentation client du bureau des statistiques nationales (Office of National Statistics) et essai de site Web -- Encadré 72. Canada : Qualité de services et outils de mesures communes (OMC) -- 4.4. …”

Tabla de Contenidos: “…Wirewound -- Precision Resistors -- Resistor Networks -- 3.1.2 TOLERANCING -- Basic Statistical Behavior -- Modeling Distributions -- Tolerance Variations -- 3.1.3 TEMPERATURE COEFFICIENT -- 3.1.4 POWER -- 3.1.5 INDUCTANCE -- 3.1.6 PULSE HANDLING -- Limiting Element Voltage -- 3.1.7 EXTREME VALUES -- Very Low Values -- Very High Values -- 3.1.8 FUSIBLE AND SAFETY RESISTORS -- 3.1.9 RESISTOR NETWORKS -- Production Efficiency -- Value Tracking: Thick Film Versus Thin Film -- 3.2 POTENTIOMETERS -- 3.2.1 TRIMMER TYPES -- Carbon -- Cermet -- Wirewound -- Multiturn -- 3.2.2 PANEL TYPES -- Carbon, Cermet, and Wirewound -- Conductive Plastic -- 3.2.3 POT APPLICATIONS -- Use as a Rheostat -- Adjustability -- Law Accuracy -- Manufacturing Processes -- 3.3 CAPACITORS -- 3.3.1 METALIZED FILM AND PAPER -- Polyester -- Polycarbonate -- Polypropylene and Polystyrene -- Metalized Paper -- 3.3.2 MULTILAYER CERAMICS -- COG -- X5R and X7R -- Y5V and Z5U -- 3.3.3 SINGLE-LAYER CERAMICS -- Barrier Layer -- Low-K and High-K Dielectrics -- 3.3.4 ELECTROLYTICS -- Construction -- Leakage -- Ripple Current and Equivalent Series Resistance -- Temperature and Lifetime -- Size and Weight -- 3.3.5 SOLID TANTALUM -- Tantalum Chip Capacitors -- 3.3.6 CAPACITOR APPLICATIONS -- Value Shifts -- 3.3.7 SERIES CAPACITORS AND DC LEAKAGE -- Adding Bleed Resistors -- 3.3.8 DIELECTRIC ABSORPTION -- 3.3.9 SELF-RESONANCE -- Consequences of Self-Resonance -- 3.4 INDUCTORS -- 3.4.1 PERMEABILITY -- Ferrites -- Iron Powder -- 3.4.2 MAGNETIC MATERIAL DEFINITIONS AND METRICS -- Hysteresis Loop Definitions -- Hysteresis Loop Metrics -- 3.4.3 INDUCTOR APPLICATIONS -- Tuned Circuits -- Power Circuits -- Suppression -- Leakage Inductance -- Measurement Methods -- Numerical Methods -- Issues With Unusual Winding Configurations -- 3.4.4 SELF-CAPACITANCE -- Measurement Methods -- 3.4.5 WINDING LOSSES…”

Tabla de Contenidos: “…4.2.5 Risk Assessment Code of Heavy Metals in Most Polluted Waste -- 4.3 LEACHING TOXICITY OF C&amp -- D WASTE FROM DIFFERENT SOURCES -- 4.4 CHARACTERISTICS OF ORGANIC POLLUTANTS IN MULTICONTAMINATED INDUSTRIAL C&amp -- D WASTE -- 4.4.1 PAH Existence and Its Distribution -- 4.4.2 Existence of Volatile Organic Compounds in Industrial Waste From Pesticide Manufacturing Plants -- 4.4.3 A Comprehensive Study on Characterization of Organophosphorus Pesticides-Contaminated Waste -- 4.4.4 Existence of Organophosphorus Pesticides in C&amp -- D Waste From Exterior Plant -- 4.4.5 Distribution and Possible Sources of Organic Pollutants Based on Practical and Statistical Analysis -- 4.4.6 Factors Affecting Concentration of Pollutants Among C&amp -- D Waste -- 4.4.7 Hierarchical Cluster Analysis -- 4.4.8 Principal Component Analysis -- 4.5 ENVIRONMENTAL RISK OF INDUSTRIAL C&amp -- D WASTE IN ORGANOPHOSPHORUS PESTICIDE MANUFACTURING PLANT -- 4.5.1 Analysis of Contaminated Industrial C&amp -- D Waste and Its Evaluation -- 4.5.2 Exposure Pathways and Variables for Industrial C&amp -- D Waste -- 4.5.2.1 Exposure Pathways Analysis -- 4.5.2.2 Exposure Quantification -- 4.5.3 Toxicity Values of Existing Pollutants -- 4.5.4 Risk Evaluation of Industrial C&amp -- D Waste in Pesticide Manufacturing Plant -- 4.6 CYANIDE-CONTAMINATED C&amp -- D WASTE GENERATED IN A FIRE/EXPLOSION ACCIDENT -- Five - Pollution Mechanism of Contaminated Construction and Demolition Waste -- 5.1 STATIC CONTAMINATION PROCESS OF HEAVY METALS -- 5.1.1 pH Variation During Static Contamination Process -- 5.1.2 Absorptive Capacity Variation of Single Heavy Metal Solution -- 5.1.3 Absorptive Capacity Variation of Mixed Heavy Metal Solution -- 5.2 DEPTH OF CONTAMINATION THROUGH SURFACE CONTACT -- 5.2.1 pH Variation During Surface Contact -- 5.2.2 Variation of Heavy Metals Concentrations in Solution…”

Tabla de Contenidos: “…7.3.3.4 Water content -- 7.3.3.5 Inhibition by alcohol -- 7.3.3.6 Inhibition by glycerol -- 7.3.3.7 Pretreatment for improving lipase stability -- 7.4 New tendencies in enzymatic production of biodiesel -- 7.4.1 Novel immobilization techniques -- 7.4.2 Use of lipases from different sources in combination -- 7.4.3 Ionic liquids as solvent in enzyme-catalyzed transesterification -- 7.4.4 Enzyme-catalyzed transesterification under supercritical CO2 medium -- 7.4.5 Statistical approaches for optimization of reaction -- 7.4.6 Enzyme-catalyzed transesterification for low-cost and high free-fatty-acid feedstocks -- 7.5 Biofuels similar to biodiesel produced using several acyl acceptors, different to methanol -- 7.5.1 Biodiesel produced together to glycerol triacetate in the same transesterification process of oils and fats -- 7.5.2 Biodiesel produced together to fatty acid glycerol carbonate esters in the same transesterification process of oils and fats -- 7.5.3 Biodiesel produced together to monoacylglycerol in the same transesterification process of oils and fats -- 7.6 Industrial biodiesel production using enzymes -- 7.7 Conclusions -- Acknowledgements -- References -- 8 - Production of fuels from microbial oil using oleaginous microorganisms -- 8.1 Introduction -- 8.2 Oleaginous yeasts and raw materials used for microbial oil production -- 8.2.1 Food supply chain wastes -- 8.2.2 Biodiesel industry by-products -- 8.2.3 Lignocellulosic resources -- 8.2.4 Other industrial wastes and by-product streams -- 8.3 The biochemistry of lipid accumulation in the oleaginous microorganisms -- 8.3.1 General remarks -- 8.3.2 Lipid accumulation from fermentation of sugars and related substrates used as the sole carbon source -- 8.3.3 Lipid production from fermentation of hydrophobic materials used as the sole carbon source…”

Tabla de Contenidos: “…Probabilistic Symbolic Execution -- 10.1. Statistical Symbolic Execution -- 10.2. Beyond Linear Integer Arithmetics -- 11. …”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Chapter 1 Introduction to Brain-Computer Interface: Applications and Challenges -- 1.1 Introduction -- 1.2 The Brain - Its Functions -- 1.3 BCI Technology -- 1.3.1 Signal Acquisition -- 1.3.1.1 Invasive Methods -- 1.3.1.2 Non-Invasive Methods -- 1.3.2 Feature Extraction -- 1.3.3 Classification -- 1.3.3.1 Types of Classifiers -- 1.4 Applications of BCI -- 1.5 Challenges Faced During Implementation of BCI -- References -- Chapter 2 Introduction: Brain-Computer Interface and Deep Learning -- 2.1 Introduction -- 2.1.1 Current Stance of P300 BCI -- 2.2 Brain-Computer Interface Cycle -- 2.3 Classification of Techniques Used for Brain-Computer Interface -- 2.3.1 Application in Mental Health -- 2.3.2 Application in Motor-Imagery -- 2.3.3 Application in Sleep Analysis -- 2.3.4 Application in Emotion Analysis -- 2.3.5 Hybrid Methodologies -- 2.3.6 Recent Notable Advancements -- 2.4 Case Study: A Hybrid EEG-fNIRS BCI -- 2.5 Conclusion, Open Issues and Future Endeavors -- References -- Chapter 3 Statistical Learning for Brain-Computer Interface -- 3.1 Introduction -- 3.1.1 Various Techniques to BCI -- 3.1.1.1 Non-Invasive -- 3.1.1.2 Semi-Invasive -- 3.1.1.3 Invasive -- 3.2 Machine Learning Techniques to BCI -- 3.2.1 Support Vector Machine (SVM) -- 3.2.2 Neural Networks -- 3.3 Deep Learning Techniques Used in BCI -- 3.3.1 Convolutional Neural Network Model (CNN) -- 3.3.2 Generative DL Models -- 3.4 Future Direction -- 3.5 Conclusion -- References -- Chapter 4 The Impact of Brain-Computer Interface on Lifestyle of Elderly People -- 4.1 Introduction -- 4.2 Diagnosing Diseases -- 4.3 Movement Control -- 4.4 IoT -- 4.5 Cognitive Science -- 4.6 Olfactory System -- 4.7 Brain-to-Brain (B2B) Communication Systems -- 4.8 Hearing -- 4.9 Diabetes -- 4.10 Urinary Incontinence -- 4.11 Conclusion -- References…”

Tabla de Contenidos: “…Cover -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- Chapter 1 Unmasking Social Media Crimes: Types, Trends, and Impact -- 1.1 Introduction -- 1.2 Related Work -- 1.3 Social Media -- 1.4 Types of Social Media Crimes -- 1.4.1 Overview of Social Media Crimes -- 1.4.2 Key Characteristics -- 1.4.3 Cyberbullying and Online Harassment -- 1.4.3.1 Impact on Victims -- 1.4.4 Identity Theft and Scams -- 1.4.4.1 Consequences for Victims -- 1.4.5 Hate Speech and Incitement to Violence -- 1.4.5.1 Link to Real-World Violence -- 1.5 Trends in Social Media Crimes -- 1.5.1 Case Studies -- 1.6 Law Enforcements's Use of Social Media Surveillance -- 1.6.1 The Evolution of Social Media Surveillance -- 1.6.2 Key Motivations -- 1.6.3 Methods Employed -- 1.6.4 Legal and Ethical Considerations -- 1.7 Challenges in Social Media Surveillance -- 1.7.1 Accuracy and Interpretation -- 1.7.2 Social Media Evidence and Accuracy -- 1.7.3 Legal Questions and Implications -- 1.7.4 The Intersection of Social Media and Criminal Justice -- 1.8 Impact of Social Media Crimes -- 1.9 Conclusion -- References -- Chapter 2 Study on Vulnerability in Online Social Networking: Impact on an Individual, Community -- 2.1 Introduction -- 2.2 Statistics of Online Social Media Network -- 2.3 Existing Research on Social Media Vulnerabilities -- 2.4 Vulnerability -- 2.4.1 How Vulnerability is Related to Online Social Networking -- 2.4.2 Classification of Vulnerability -- 2.4.2.1 Individual Vulnerabilities -- 2.4.2.2 Community Vulnerabilities -- 2.4.2.3 Government Vulnerabilities -- 2.4.3 State of the Art: Techniques to Prevent Yourself from Social Media Vulnerabilities -- 2.4.4 Some Popular Case Study -- 2.5 Future Trends -- 2.6 Conclusion -- Acknowledgement -- References -- Chapter 3 Application of Google Lens Clone Using Image Recognition in Enterprise Environment…”

Tabla de Contenidos: “…11.2 Volatility smiles and skews -- 11.3 The VIX -- 11.4 Value profiles prior to maturity -- 11.5 How options behave - the Greeks -- 11.6 Delta hedging -- 12 Options - from building blocks to portfolios -- 12.1 The building block approach -- 12.2 Option spreads - vertical, horizontal and diagonal -- 12.3 Volatility structures -- 12.4 Range structures -- 12.5 Arbitrage structures -- 13 Options - interest rate and exotic options -- 13.1 Why interest rate options are different -- 13.2 Caps, floors and collars -- 13.3 Swaptions -- 13.4 Cancellable and extendible swaps -- 13.5 Pricing interest rate options -- 13.6 Compound options -- 13.7 Exotic options -- 13.8 Path-dependent options -- 13.9 Digital options -- 13.10 Multivariate options -- 13.11 Other exotic options -- 13.12 Pricing exotic options -- 13.13 Price comparisons between exotic options -- 13.14 Embedded options -- 14 Introducing credit derivatives -- 14.1 Development of the credit derivatives market -- 14.2 Motivations for using credit derivatives -- 14.3 Introducing credit default swaps (CDS) -- 14.4 Market conventions -- 14.5 Credit events and determination committees -- 14.6 Capital structure, recovery rates, reference and deliverable obligations -- 14.7 Settlement methods and auctions -- 14.8 Other aspects of CDS -- 15 CDS pricing and credit indices -- 15.1 A simple CDS pricing model -- 15.2 Obtaining default probabilities -- 15.3 Developing a multi-period framework -- 15.4 The ISDA CDS Standard Model -- 15.5 Bootstrapping default probabilities -- 15.6 Calculating up-front payments -- 15.7 Mark-to-market and CDS valuation -- 15.8 PV01 and SDV01 -- 15.9 How credit indices developed -- 15.10 The CDX and iTraxx credit indices -- 15.11 Market quotations and statistics -- 15.12 Other credit indices -- 15.13 Index tranches -- Part II Techniques -- 16 Applications for financial engineering…”

Tabla de Contenidos: “…8.4 Modeling Interacting Oscillators of a Bacillaria Colony -- 8.4.1 Observation of the Movement Activity at Uncovered Rhaphes -- 8.4.2 Interaction of Neighboring Diatoms -- 8.4.3 Coupled Oscillators -- 8.5 Kuramoto Model -- 8.5.1 Adaptation of the Kuramoto Model for a Bacillaria Colony -- 8.5.2 Analyses and Approximations -- 8.5.3 Critical Coupling -- 8.5.3.1 Uncoupled Oscillators -- 8.5.3.2 Two Oscillators -- 8.5.3.3 Chains without Retardation -- 8.5.3.4 Identical Oscillator Frequencies and Sufficiently Small Delay -- 8.5.3.5 Remarks on the General Case -- 8.5.4 Statistical Considerations and Monte Carlo Simulations -- 8.5.4.1 Expected Value and Standard Deviation -- 8.5.4.2 Distribution of Critical Coupling -- 8.5.5 Simulation of Non-Synchronous States -- 8.5.5.1 Numerical Integration -- 8.5.5.2 Visualization of the Transient -- 8.5.5.3 Discrete Fourier Transform -- 8.5.6 Coupling to a Periodic Light Source -- 8.6 Discussion -- Acknowledgment -- References -- Chapter 9 The Psychophysical World of the Motile Diatom Bacillaria paradoxa -- Abbreviations -- 9.1 Introduction -- 9.1.1 Aneural Architecture of Bacillaria -- 9.1.2 Aneural Cognition in a Broader Context -- 9.1.3 Psychophysics as Diatom Information Processing -- 9.1.4 Information Processing and Aneural Cognition -- 9.1.5 Hebbian Intelligence and Predictive Processing -- 9.2 Measurement Techniques -- 9.2.1 Weber-Fechner Law -- 9.2.2 Connectionist Network -- 9.2.3 Algorithmic Information -- 9.2.4 Collective Pattern Generator -- 9.2.5 Dynamical States of the CoPG -- 9.3 CPGs vs. …”

Tabla de Contenidos: “…Meaningful relationships between long-term career, perspective, and skill for rmas - statistical analysis of international data for a new profession / Shin Ito and Makiko Takahashi -- Chapter 4.8. …”

Tabla de Contenidos: “…Tuning a WebSphere Business Integration Server infrastructure -- 11.1 Introduction -- 11.2 General performance checklist -- 11.3 InterChange Server -- 11.3.1 Configure threads in collaborations and adapter controllers -- 11.3.2 Use caches for maps and collaborations (instance reuse) -- 11.3.3 Configure threading for CORBA / IIOP -- 11.3.4 Configure database connection pools -- 11.3.5 Setting flow control queue sizes -- 11.3.6 Turn off component tracing -- 11.3.7 Turn off event sequencing for Server Access Interface -- 11.4 WebSphere Business Integration Adapters -- 11.4.1 Configure poll frequency and poll quantity -- 11.4.2 Multiple WebSphere MQ listener threads -- 11.5 Database (general) -- 11.5.1 Place database tablespaces on a fast disk subsystem -- 11.5.2 Size database cross-referencing tables correctly -- 11.5.3 Place logs on separate device from table spaces -- 11.6 Database: DB2-specific -- 11.6.1 Maintain current indexes on tables -- 11.6.2 Update catalog statistics -- 11.6.3 Set bufferpool size correctly -- 11.7 Database: Oracle-specific -- 11.7.1 Set buffer, block, and shared pool area sizes correctly -- 11.7.2 Set processes, Open_Cursors, and IO_Slaves -- 11.7.3 Use dedicated connection if possible -- 11.7.4 Query optimization -- 11.8 WebSphere MQ -- 11.8.1 Place MQ logs on fast disk subsystem -- 11.8.2 Monitor message queue depth -- 11.8.3 Configure WebSphere MQ log files and buffer pages -- 11.9 Java…”

Tabla de Contenidos: “…4.1 MAC Layer and Multiple Access Techniques 83 -- 4.2 Queuing Theory 87 -- 4.2.1 Statistical Multiplexing of Packets 87 -- 4.2.2 Queuing Models 92 -- 4.3 Concluding Remarks 106 -- 4.3.1 How Congestion Happens in Tactical Wireless Networks 106 -- 4.3.2 Historical Perspective 107 -- 4.3.3 Remarks Regarding the First Part of the Book 108 -- Bibliography 110 -- Part II THE EVOLUTION OF TACTICAL RADIOS -- 5 Non-IP Tactical Radios and the Move toward IP 113 -- 5.1 Multistep Evolution to the Global Information Grid 113 -- 5.2 Link-16 Waveform 114 -- 5.2.1 Link-16 Messages 119 -- 5.2.2 Link Layer Operations of Link-16 120 -- 5.2.3 JTIDS/LINK-16 Modulation and Coding 120 -- 5.2.4 Enhancements to Link-16 126 -- 5.2.5 Concluding Remarks on Link-16 Waveform 129 -- 5.3 EPLRS Waveform 130 -- 5.4 SINCGARS Waveform 131 -- 5.5 Tactical Internet (TI) 131 -- 5.6 IP Gateways 136 -- 5.6.1 Throughput Efficiency 136 -- 5.6.2 End-to-End Packet Loss 137 -- 5.7 Concluding Remarks 137 -- 5.7.1 What Comes after the GIG? …”

Tabla de Contenidos: “…Understanding Your Control -- Section 10.7. Statistical Significance Without Practical Significance -- Section 10.8. …”

Tabla de Contenidos: “…6.1.2 Managing permissions between GitHub and CircleCI -- 6.1.3 Signing commits and tags with Git -- 6.2 Access control for container storage -- 6.2.1 Managing permissions between Docker Hub and CircleCI -- 6.2.2 Signing containers with Docker Content Trust -- 6.3 Access control for infrastructure management -- 6.3.1 Managing permissions using AWS roles and policies -- 6.3.2 Distributing secrets to production systems -- Summary -- Part 2: Watching for anomalies and protecting services against attacks -- Chapter 7: Collecting and storing logs -- 7.1 Collecting logs from systems and applications -- 7.1.1 Collecting logs from systems -- 7.1.2 Collecting application logs -- 7.1.3 Infrastructure logging -- 7.1.4 Collecting logs from GitHub -- 7.2 Streaming log events through message brokers -- 7.3 Processing events in log consumers -- 7.4 Storing and archiving logs -- 7.5 Accessing logs -- Summary -- Chapter 8: Analyzing logs for fraud and attacks -- 8.1 Architecture of a log-analysis layer -- 8.2 Detecting attacks using string signatures -- 8.3 Statistical models for fraud detection -- 8.3.1 Sliding windows and circular buffers -- 8.3.2 Moving averages -- 8.4 Using geographic data to find abuses -- 8.4.1 Geoprofiling users -- 8.4.2 Calculating distances -- 8.4.3 Finding a user's normal connection area -- 8.5 Detecting anomalies in known patterns -- 8.5.1 User-agent signature -- 8.5.2 Anomalous browser -- 8.5.3 Interaction patterns -- 8.6 Raising alerts to operators and end users -- 8.6.1 Escalating security events to operators -- 8.6.2 How and when to notify end users -- Summary -- Chapter 9: Detecting intrusions -- 9.1 The seven phases of an intrusion: the kill chain -- 9.2 What are indicators of compromise? …”

Tabla de Contenidos: “…-- 1.1 Deep Learning -- 1.2 History of Deep Learning -- 1.3 Neural Nets -- 1.3.1 Daylight Detector -- Problem -- Solution -- How It Works -- 1.3.2 XOR Neural Net -- Problem -- Solution -- How It Works -- 1.4 Deep Learning and Data -- 1.5 Types of Deep Learning -- 1.5.1 Multi-layer Neural Network -- 1.5.2 Convolutional Neural Network (CNN) -- 1.5.3 Recurrent Neural Network (RNN) -- 1.5.4 Long Short-Term Memory Network (LSTM) -- 1.5.5 Recursive Neural Network -- 1.5.6 Temporal Convolutional Machine (TCM) -- 1.5.7 Stacked Autoencoders -- 1.5.8 Extreme Learning Machine (ELM) -- 1.5.9 Recursive Deep Learning -- 1.5.10 Generative Deep Learning -- 1.5.11 Reinforcement Learning -- 1.6 Applications of Deep Learning -- 1.7 Organization of the Book -- 2 MATLAB Toolboxes -- 2.1 Commercial MATLAB Software -- 2.1.1 MathWorks Products -- Deep Learning Toolbox -- Instrument Control Toolbox -- Statistics and Machine Learning Toolbox -- Computer Vision Toolbox -- Image Acquisition Toolbox -- Parallel Computing Toolbox -- Text Analytics Toolbox -- 2.2 MATLAB Open Source -- 2.3 XOR Example -- 2.4 Training -- 2.5 Zermelo's Problem -- 3 Finding Circles -- 3.1 Introduction -- 3.2 Structure -- 3.2.1 imageInputLayer -- 3.2.2 convolution2dLayer -- 3.2.3 batchNormalizationLayer -- 3.2.4 reluLayer -- 3.2.5 maxPooling2dLayer -- 3.2.6 fullyConnectedLayer -- 3.2.7 softmaxLayer -- 3.2.8 classificationLayer -- 3.2.9 Structuring the Layers -- 3.3 Generating Data -- 3.3.1 Problem -- 3.3.2 Solution -- 3.3.3 How It Works -- 3.4 Training and Testing -- 3.4.1 Problem -- 3.4.2 Solution -- 3.4.3 How It Works -- 4 Classifying Movies -- 4.1 Introduction -- 4.2 Generating a Movie Database -- 4.2.1 Problem -- 4.2.2 Solution…”

Tabla de Contenidos: “…Futures Contracts -- Summary -- Further Reading -- Quiz -- Practice Questions -- Further Questions -- Chapter 3: Hedging Strategies Using Futures -- 3.1 Basic Principles -- 3.2 Arguments for and Against Hedging -- 3.3 Basis Risk -- 3.4 Cross Hedging -- 3.5 Stock Index Futures -- 3.6 Stack and Roll -- Summary -- Further Reading -- Quiz -- Practice Questions -- Further Questions -- Appendix: Review of Key Concepts in Statistics and the CAPM -- Chapter 4: Interest Rates -- 4.1 Types of Rates -- 4.2 Swap Rates -- 4.3 The Risk-Free Rate -- 4.4 Measuring Interest Rates -- 4.5 Zero Rates -- 4.6 Bond Pricing -- 4.7 Determining Zero Rates -- 4.8 Forward Rates -- 4.9 Forward Rate Agreements -- 4.10 Theories of the Term Structure of Interest Rates -- Summary -- Further Reading -- Quiz -- Practice Questions -- Further Questions -- Appendix: Exponential and Logarithmic Functions -- Chapter 5: Determination of Forward and Futures Prices -- 5.1 Investment Assets vs. …”

Tabla de Contenidos: “…18.1.2 The vision search operator -- 18.1.3 The marketing research operator -- 18.2 Implementation of SE for the one-max problem -- 18.2.1 Declaration of functions and parameters -- 18.2.2 The main loop -- 18.2.3 Additional functions -- 18.3 Simulation results of SE for the one-max problem -- 18.4 Discussion -- Supplementary source code -- 19 Advanced applications -- 19.1 Data clustering -- 19.1.1 Problem description and definition -- 19.1.2 Solution encoding -- 19.1.3 Metaheuristic algorithm for data clustering -- 19.2 Cluster-head selection -- 19.2.1 Problem description and definition -- 19.2.2 Solution encoding -- 19.2.3 Metaheuristic algorithm for cluster-head selection -- 19.3 Traffic light control -- 19.3.1 Problem description and definition -- 19.3.2 Solution encoding -- 19.3.3 Metaheuristic algorithm for traffic light control -- 19.4 Hyperparameter optimization -- 19.4.1 Problem description and definition -- 19.4.2 Solution encoding -- 19.4.3 Metaheuristic algorithm for hyperparameter optimization -- 19.5 Convolutional neural network filter pruning -- 19.5.1 Problem description and definition -- 19.5.2 Solution encoding -- 19.5.3 Metaheuristic algorithm for convolutional neural network pruning -- 19.6 Discussion -- 20 Conclusion and future research directions -- 20.1 Conclusion -- 20.2 Future research directions -- A Interpretations and analyses of simulation results -- A.1 Interpretations of metaheuristics -- A.1.1 Quality of the end result -- A.1.2 Convergence curves -- A.1.3 Number of evaluations and computation time -- A.2 Analyses of metaheuristics -- A.2.1 Impact of parameters and operators -- A.2.2 Complexity and statistical analyses -- A.3 Discussion -- Supplementary source code -- B Implementation in Python -- Supplementary source code -- References -- Index -- Back Cover…”

Tabla de Contenidos: “…Numerical Methods, Calculus, and Statistics -- 6.1 Introduction -- 6.2 Numerical Integration -- 6.2.1 Double and Triple Integrals -- 6.3 Numerical Differentiation -- 6.4 Interpolation -- 6.4.1 Multidimensional Interpolation -- 6.5 Curve Fitting -- 6.6 Numerical Optimization -- 6.7 Linear Equations -- 6.7.1 Gauss Elimination -- 6.7.2 Ill-conditioned Problems -- 6.7.3 Pivoting to Handle Ill-conditioned Problems -- 6.8 Solution of Nonlinear Algebraic Equations -- 6.8.1 Gauss-Seidel (GS) Method -- 6.8.2 GS Solution for a System of Equations -- 6.8.3 Newton-Raphson (NR) Method -- 6.8.4 NR Solution for a System of Equations -- 6.9 Numerical Solution of Ordinary Differential Equations -- 6.9.1 Euler's Method for Solution of Differential Equations -- 6.9.2 Euler's Modified Method…”

Tabla de Contenidos: “…5.3.2 Intestinal Bowel Disease (IBD) -- 5.3.3 Rheumatoid Arthritis -- 5.3.4 Type 1 Diabetes -- 5.3.5 Dysbiosis of Skin Microbiome in Carcinogenesis -- 5.3.6 Dysbiosis of Oral Microbiota Impacts Carcinogenesis -- 5.3.7 Dysbiosis of Urobiome -- 5.3.8 Pigmented Gallstone -- 5.3.9 Cholangitis -- 5.4 Intestinal Colonisation in Neonates and Dysbiosis -- 5.5 Treatment or Therapeutics -- 5.6 Conclusion -- References -- 6 Connection between Dysbiosis and Diet -- 6.1 Introduction -- 6.1.1 Gut Microbiota and Dysbiosis -- 6.1.2 Importance of Diet in regulation of Gut Microbiota -- 6.2 Different Dietary Patterns Resulting in Dysbiosis -- 6.2.1 Breastfeeding -- 6.2.2 Carbohydrate-rich Diet -- 6.2.3 Protein-rich Diet -- 6.2.4 Fats and Oil-rich Diet -- 6.3 Future Prospects in Establishing a Healthy Connection between Diet and Gut Microbiota -- 6.4 Conclusion -- References -- 7 Composition of Gut Microbiota and Clostridium difficile -- 7.1 Introduction -- References -- 8 Gut Microbiota and Obesity -- 8.1 Introduction -- 8.2 Obesity Epidemic: Statistics and General Background -- 8.3 Gut Microbiota and Obesity -- 8.4 Adiposity and Gut Microbiota -- 8.4.1 Short Chain Fatty Acids (SCFAs) -- 8.4.2 AMPK and FIAF -- 8.4.3 Bile Acids -- 8.4.4 Lipopolysaccharides (LPS) -- 8.5 Gut Microbiota Modification -- 8.5.1 Diet -- 8.5.2 Age -- 8.5.3 Antibiotics -- 8.5.4 Probiotics -- 8.6 The Microbiota and Obesity Interactions -- 8.6.1 Immune System -- 8.6.2 Lipid Metabolism -- 8.6.3 Satiety Hormones -- 8.6.4 Nutrient Metabolism -- 8.6.5 Lymphoid Structures -- 8.6.6 Microbiota-Adipose Tissue Axis -- References -- 9 Gut Microbiota and Cardiovascular Disease -- 9.1 Introduction -- 9.2 Gut Microbiota and CVD -- 9.2.1 Role of TMAO in Coronary Heart Disease -- 9.3 Gut Microbiota Composition in Cardiovascular Disease -- 9.4 Gut Microbiota Function in Cardiovascular Disease…”