Tabla de Contenidos: “…5.5.4 Fitting Distributions to Data in R Using MLE -- 5.5.5 Likelihood Ratio Test, LRT -- 5.6 Regression: Basic Principles -- 5.6.1 Simple Linear Regression -- 5.6.2 Quantifying Uncertainty on -- 5.6.3 Analysis of Variance in Regression -- 5.6.3.1 R2 and adjusted R2 Coefficient of Determination -- 5.6.4 Some Visual Diagnostics for the Proposed Simple Regression Model -- 5.7 Multiple Regression -- 5.7.1 Introduction -- 5.7.2 Regression and MLE -- 5.7.2.1 Multivariate Regression -- 5.7.3 Tests -- 5.7.3.1 Likelihood Ratio Test in Regression -- 5.7.3.2 Akaike Information Criterion: AIC -- 5.7.3.3 AIC and Regression model selection -- 5.7.3.4 Bayesian Information Criterion: BIC -- 5.7.4 Variable Selection, Finding the Most Appropriate Sub-Model -- 5.7.5 Backward Elimination -- 5.7.6 Forward Selection -- 5.7.7 Using AIC/BIC Criteria -- 5.7.8 LRT in Model Selection -- 5.7.9 Automatic Search Using R-squared Criteria -- 5.7.10 Concluding Remarks on Test Data -- 5.7.11 Modelling Beyond Linearity -- 5.8 Dummy/Indicator Variable Regression -- 5.8.1 Introducing Categorical Variables -- 5.8.2 Continuous and Indicator Variable Predictors - Including Load in the Model -- 5.9 Recommended Reading -- 6 Multivariate Distributions, and Sums of Random Variables -- 6.1 Multivariate Distributions - Examples in Finance -- 6.2 Simulating Multivariate Normal Variables -- 6.3 The Summation of a Number of Random Variables -- 6.4 Conclusion -- 6.5 Recommended Reading -- 7 Benefits of Diversification -- 7.1 Introduction -- 7.2 Background -- 7.3 Key Mathematical Ideas -- 7.4 Running Simulations -- 7.5 Recommended Reading -- 8 Modern Portfolio Theory -- 8.1 Introduction -- 8.2 2-Asset Portfolio -- 8.3 3-Asset Portfolio -- 8.4 Introduction of a Risk-free Asset to the Portfolio -- 8.4.1 Adding a Risk-free Asset -- 8.4.2 Capital Market Line and the Sharpe Ratio…”

Tabla de Contenidos: “…11.4 Semantics of QuGCL programs -- 11.4.1 Classical states -- 11.4.2 Semi-classical semantics -- 11.4.3 Purely quantum semantics -- 11.4.4 Weakest precondition semantics -- 11.4.5 An example -- 11.5 Quantum choice -- 11.5.1 Choices: from classical to quantum via probabilistic -- 11.5.2 Quantum implementation of probabilistic choice -- 11.6 Algebraic laws -- 11.7 A new paradigm of quantum programming - superposition-of-programs -- 11.8 Illustrative examples -- 11.8.1 Quantum walks -- 11.8.2 Quantum phase estimation -- 11.8.3 Linear combination of unitary operators -- 11.9 Discussions -- 11.9.1 Coefficients in guarded compositions -- 11.9.2 Quantum case statements guarded by subspaces -- 11.10 Bibliographic remarks and further readings -- 12 Quantum recursion -- 12.1 Syntax of quantum recursive programs -- 12.2 Motivating examples: recursive quantum walks -- 12.2.1 Specification of recursive quantum walks -- 12.2.2 How to solve recursive quantum equations? …”

Tabla de Contenidos: “…7.2.3.1 Digital Arrays -- 7.2.3.2 Analog Arrays -- 7.2.3.3 Hybrid Arrays -- 7.2.3.4 A Millimeter-Wave Antenna Array System Prototype -- 7.2.4 UE Antennas -- 7.2.5 Antenna Ports and QCL -- 7.2.6 CSI Acquisition -- 7.2.6.1 Reciprocity Based -- 7.2.6.2 Feedback Based -- 7.2.7 Massive MIMO -- 7.3 Multiantenna Techniques in NR -- 7.3.1 CSI Acquisition -- 7.3.1.1 Interference Measurements -- 7.3.2 Downlink MIMO Transmission -- 7.3.3 Uplink MIMO Transmission -- 7.3.4 Beam Management -- 7.3.4.1 Beam Acquisition During Initial Access -- 7.3.4.2 Beam Management Procedures -- 7.3.4.3 Beam Measurement and Reporting -- 7.3.4.4 Beam Indication -- 7.3.4.5 Beam Recovery -- 7.3.4.6 Uplink Beam Management -- 7.4 Experimental Results -- 7.4.1 Beam-Forming Gain -- 7.4.2 Beam Tracking -- 7.4.3 System Simulations -- References -- 8 Channel Coding -- 8.1 Fundamental Limits of Forward Error Correction -- 8.1.1 The Binary AWGN Channel -- 8.1.2 Coding Schemes for the Binary-AWGN Channels -- 8.1.3 Performance Metrics -- 8.2 FEC Schemes for the Bi-AWGN Channel -- 8.2.1 Introduction -- 8.2.2 Some De nitions -- 8.2.3 LDPC Codes -- 8.2.3.1 Fundamentals of LDPC Codes -- 8.2.3.2 The LDPC-Code Solution Chosen for 5G NR -- 8.2.4 Polar Codes -- 8.2.4.1 Fundamentals of Polar Codes -- 8.2.4.2 The Polar-Code Solution Chosen for 5G NR -- Deterministic Reliability Ordering -- Parity-Check Coding -- Rate Adaptation -- 8.2.5 Other Coding Schemes for the Short-Blocklength Regime -- 8.2.5.1 Short Algebraic Linear Block Codes With Ordered-Statistics Decoding -- 8.2.5.2 Linear Block Codes With Tail-Biting Trellises -- 8.2.5.3 Nonbinary LDPC Codes -- 8.2.5.4 Performance -- 8.3 Coding Schemes for Fading Channels -- 8.3.1 The SISO Case -- 8.3.2 The MIMO Case -- References -- 9 Simulator -- 9.1 Simulator Overview -- 9.2 Functional Modules -- 9.2.1 Channel Model -- 9.2.2 Power Ampli er Model…”

Tabla de Contenidos: “…Intro -- Contents -- 1 Orienting Concepts and Ways of Understanding the Cultural Nature of Human Development -- Looking for Cultural Regularities -- One Set of Patterns: Children's Age-Grading and Segregation from Community Endeavors or Participation in Mature Activities -- Other Patterns -- Orienting Concepts for Understanding Cultural Processes -- Moving Beyond Initial Assumptions -- Beyond Ethnocentrism and Deficit Models -- Separating Value Judgments from Explanations -- Diverse Goals of Development -- Ideas of Linear Cultural Evolution -- Moving Beyond Assumptions of a Single Goal of Human Development -- Learning through Insider/Outsider Communication -- Outsiders' Position -- Insiders' Position -- Moving between Local and Global Understandings -- Revising Understanding in Derived Etic Approaches -- The Meaning of the "Same" Situation across Communities -- 2 Development as Transformation of Participation in Cultural Activities -- A Logical Puzzle for Researchers -- An Example: "We always speak only of what we see -- Researchers Questioning Assumptions -- Concepts Relating Cultural and Individual Development -- Whiting and Whiting's Psycho-Cultural Model -- Bronfenbrenner's Ecological System -- Descendents -- Issues in Diagramming the Relation of Individual and Cultural Processes -- Sociocultural-Historical Theory -- Development as Transformation of Participation in Sociocultural Activity -- 3 Individuals, Generations, and Dynamic Cultural Communities -- Humans Are Biologically Cultural -- Prepared Learning by Infants and Young Children -- Where Do Gender Differences Come From? …”

Tabla de Contenidos: “…Time-Series Data -- Time-Series Analysis and Forecasting -- Memory Requirements -- More Storage -- More RAM -- Case Study: Gathering the Real-Time Industry Data -- Storing Collected Data Using Pandas -- Dataframes -- Saving Data as a CSV File -- Saving as an Excel File -- Reading Saved Data Files -- Adding the Date and Time to the Real-Time Data -- Industry Data from the Temperature and Humidity Sensor -- Chapter 5: Preparing the Data -- Pandas and Data Structures -- Installing and Using Pandas -- Pandas Data Structures -- Series -- DataFrame -- Reading Data -- Reading CSV Data -- Reading Excel Data -- Reading URL Data -- Cleaning the Data -- Handling Missing Values -- Handling Outliers -- Z-Score -- Filtering Out Inappropriate Values -- Removing Duplicates -- Chapter 6: Visualizing the Data -- Matplotlib Library -- Scatter Plot -- Line Plot -- Histogram -- Bar Chart -- Pie Chart -- Other Plots and Packages -- Chapter 7: Analyzing the Data -- Exploratory Data Analysis -- Choosing a Dataset -- Modifying the Columns in the Dataset -- Statistical Analysis -- Uniform Distribution -- Binomial Distribution -- Normal Distribution -- Statistical Analysis of Boston Housing Price Dataset -- Chapter 8: Learning from Data -- Forecasting from Data Using Regression -- Linear Regression using Scikit-Learn -- Principal Component Analysis -- Outlier Detection Using K-Means Clustering -- Chapter 9: Case Studies -- Case Study 1: Human Emotion Classification -- Methodology -- Dataset -- Interfacing the Raspberry Pi with MindWave Mobile via Bluetooth -- Data Collection Process -- Features Taken from the Brain Wave Signal -- Unstructured Data to Structured Dataset -- Exploratory Data Analysis from the EEG Data -- Classifying the Emotion Using Learning Models -- Case Study 2: Data Science for Image Data -- Exploratory Image Data Analysis…”

Tabla de Contenidos: “…Calling a function -- Passing a variable number of arguments -- Calling a function with a default parameter value -- Calling a function while passing named arguments -- Function literals -- Evaluation strategies -- Call by name -- Call by value -- Partial functions -- Summary -- Chapter 5: Getting Familiar with Scala Collections -- Motivation -- Immutable and mutable collections -- Differences between the root and immutable collections -- Hierarchy of collections in Scala -- Traversable -- Iterable -- Seq -- Sequences -- Map -- Set -- Commonly used collections in Scala -- List -- Map -- SortedSet -- Streams -- Vector -- Immutable stack -- Immutable queue -- Ranges -- ArrayBuffer -- ListBuffer -- StringBuilder -- Array -- Rich operations performed on collections -- Parallel collections in Scala -- ParArray -- ParVector -- Converting a Java collection into a Scala collection -- Choosing a collection -- Collection performance -- Summary -- Chapter 6: Object-Oriented Scala Basics -- Classes -- Abstract classes -- Abstract classes and traits -- The final classes -- Objects as singletons -- Companion objects -- Case classes -- Summary -- Chapter 7: Next Steps in Object-Oriented Scala -- Composition and inheritance -- Class inheritance -- Extending classes -- Subtyping versus subclassing -- Overriding data and behavior -- Restricting inheritance - final keyword -- Dynamic binding in function invocation -- Misusing inheritance -- Default and parameterized constructors -- Traits -- Traits as mix-ins -- Traits as composable mix-ins -- Traits as stackable modifications -- Linearization -- Packaging and importing -- Package statements -- Multiple package statements in a file -- Nested package statements -- Chaining package statements -- Importing packages -- Visibility rules -- Sealed traits -- Summary -- Chapter 8: More on Functions -- Function literals…”

Tabla de Contenidos: “…-- Advantages over traditional shallow methods -- Impact of deep learning -- The motivation of deep architecture -- The neural viewpoint -- The representation viewpoint -- Distributed feature representation -- Hierarchical feature representation -- Applications -- Lucrative applications -- Success stories -- Deep learning for business -- Future potential and challenges -- Summary -- Chapter 2: Getting Yourself Ready for Deep Learning -- Basics of linear algebra -- Data representation -- Data operations -- Matrix properties -- Deep learning with GPU -- Deep learning hardware guide -- CPU cores -- RAM size -- Hard drive -- Cooling systems -- Deep learning software frameworks -- TensorFlow - a deep learning library -- Caffe -- MXNet -- Torch -- Theano -- Microsoft Cognitive Toolkit -- Keras -- Framework comparison -- Setting up deep learning on AWS -- Setup from scratch -- Setup using Docker -- Summary -- Chapter 3: Getting Started with Neural Networks -- Multilayer perceptrons -- The input layer -- The output layer -- Hidden layers -- Activation functions -- Sigmoid or logistic function -- Tanh or hyperbolic tangent function -- ReLU -- Leaky ReLU and maxout -- Softmax -- Choosing the right activation function -- How a network learns -- Weight initialization -- Forward propagation -- Backpropagation -- Calculating errors -- Backpropagation -- Updating the network -- Automatic differentiation -- Vanishing and exploding gradients -- Optimization algorithms -- Regularization -- Deep learning models -- Convolutional Neural Networks -- Convolution -- Pooling/subsampling -- Fully connected layer -- Overall…”

Tabla de Contenidos: “…-- Introduction to scalability -- Scaling in (vertical scaling) -- Scaling out (horizontal scaling) -- Linear scalability -- Distributed caching -- Caching persisted data (data-tier caching) -- First-level caching -- Second-level caching -- Application caching -- CacheCow -- Memcached -- Azure Redis Cache -- Communication (asynchronous) -- Summary…”

Tabla de Contenidos: “…. -- Scalers undergo a deep transformation that is all but linear or even for all -- Notes -- 2 Financing growth -- Introduction -- Identifying the diverse sources of finance to scale up (all sorts of) business -- Most future high growth firms resort to bank loans to prepare for scaling up…”

Tabla de Contenidos: “…II Practice -- 7.Theory Preview -- Frequency Representation -- The Transfer Function -- Block-Diagram Algebra -- PID Controllers -- Poles of the Transfer Function -- Process Models -- 8.Measuring the Transfer Function -- Static Input/Output Relation: The Process Characteristic -- Practical Considerations -- Dynamic Response to a Step Input: The Process Reaction Curve -- Practical Aspects -- Process Models -- Self-Regulating Process -- Accumulating Process -- Self-Regulating Process with Oscillation -- Non-Minimum Phase System -- Other Methods of System Identification -- 9.PID Tuning -- Tuning Objectives -- General Effect of Changes to Controller Parameters -- Ziegler-Nichols Tuning -- Semi-Analytical Tuning Methods -- Practical Aspects -- A Closer Look at Controller Tuning Formulas -- 10.Implementation Issues -- Actuator Saturation and Integrator Windup -- Preventing Integrator Windup -- Setpoint Changes and Integrator Preloading -- Smoothing the Derivative Term -- Choosing a Sampling Interval -- Variants of the PID Controller -- Incremental Form -- Error Feedback Versus Output Feedback -- The General Linear Digital Controller -- Nonlinear Controllers -- Error-Square and Gap Controllers -- Simulating Floating-Point Output -- Categorical Output -- 11.Common Feedback Architectures -- Changing Operating Conditions: Gain Scheduling -- Gain Scheduling for Mildly Nonlinear Systems -- Large Disturbances: Feedforward -- Fast and Slow Dynamics: Nested or "Cascade" Control -- Systems Involving Delays: The Smith Predictor -- pt. …”

Tabla de Contenidos: “…-- The Dope Sheet -- The Graph editor -- The Non-Linear Action editor -- Preparation of the animation -- Writing a short script -- Making a storyboard -- Finding the final camera placements and the timing through a layout -- Animation references -- Organization -- Animating the scene -- The walk cycle -- Mixing actions -- Animation of a close shot -- Animation of the gunshot -- Animation of the trap -- Render a quick preview of a shot -- Summary -- Chapter 10: The Rat Cowboy - Rendering, Compositing, and Editing -- Creating advanced materials in Cycles -- Skin material with Subsurface Scattering -- Eye material -- The fur of the rat -- The Raw rendering phase -- Enhance a picture with compositing -- Introduction to nodal compositing -- Depth Pass -- Adding effects -- Compositing rendering phase -- Editing the sequence with the VSE -- Introduction to the Video Sequence Editor -- Edit and render the final sequence -- Summary -- Index…”

Tabla de Contenidos: “…6.5.1 Lebesgue Integrals on a Measurable Set -- 6.5.2 Fuzzy Riemann Integrals Using the Expression in the Decomposition Theorem -- 6.5.3 Fuzzy Riemann Integrals Using the Extension Principle -- Chapter 7 Arithmetics of Fuzzy Sets -- 7.1 Arithmetics of Fuzzy Sets in R -- 7.1.1 Arithmetics of Fuzzy Intervals -- 7.1.2 Arithmetics Using EP and DT -- 7.1.2.1 Addition of Fuzzy Intervals -- 7.1.2.2 Difference of Fuzzy Intervals -- 7.1.2.3 Multiplication of Fuzzy Intervals -- 7.2 Arithmetics of Fuzzy Vectors -- 7.2.1 Arithmetics Using the Extension Principle -- 7.2.2 Arithmetics Using the Expression in the Decomposition Theorem -- 7.3 Difference of Vectors of Fuzzy Intervals -- 7.3.1 α‐Level Sets of A ̃⊖EPB ̃ -- 7.3.2 α‐Level Sets of A ̃⊖DT⋄B ̃ -- 7.3.3 α‐Level Sets of A ̃⊖DT⋆B ̃ -- 7.3.4 α‐Level Sets of A ̃⊖DT†B ̃ -- 7.3.5 The Equivalences and Fuzziness -- 7.4 Addition of Vectors of Fuzzy Intervals -- 7.4.1 α‐Level Sets of A⊕EPB ̃ -- 7.4.2 α‐Level Sets of A⊕DTB ̃ -- 7.5 Arithmetic Operations Using Compatibility and Associativity -- 7.5.1 Compatibility -- 7.5.2 Associativity -- 7.5.3 Computational Procedure -- 7.6 Binary Operations -- 7.6.1 First Type of Binary Operation -- 7.6.2 Second Type of Binary Operation -- 7.6.3 Third Type of Binary Operation -- 7.6.4 Existence and Equivalence -- 7.6.5 Equivalent Arithmetic Operations on Fuzzy Sets in R -- 7.6.6 Equivalent Additions of Fuzzy Sets in Rm -- 7.7 Hausdorff Differences -- 7.7.1 Fair Hausdorff Difference -- 7.7.2 Composite Hausdorff Difference -- 7.7.3 Complete Composite Hausdorff Difference -- 7.8 Applications and Conclusions -- 7.8.1 Gradual Numbers -- 7.8.2 Fuzzy Linear Systems -- 7.8.3 Summary and Conclusion -- Chapter 8 Inner Product of Fuzzy Vectors -- 8.1 The First Type of Inner Product -- 8.1.1 Using the Extension Principle -- 8.1.2 Using the Expression in the Decomposition Theorem…”

Tabla de Contenidos: “…Analyzing an Audio File -- Zooming In on Problems -- Fixing the Problems Soundtrack Pro Detects -- Working with Actions -- Locating an Action -- Reordering Actions -- Removing Actions -- Reducing Noise -- Exploring Noise -- Setting a Noise Print -- Using the Reduce Noise Dialog -- Bypassing Noise Reduction to Hear Your Original Sound -- Adjusting the Noise Reduction Level -- Applying Noise Reduction -- Refining Noise Reduction Settings -- Rippling Your Changes to Final Cut Pro -- Using Soundtrack Pro Scripts to Speed Up Your Work -- Lesson Review -- Lesson 5 Editing in Frequency Spectrum View -- Using Frequency Spectrum View -- Exploring the Frequency Spectrum View -- Linear Versus Logarithmic Scales -- Controlling the Spectrum -- Setting the Frequency Range -- Adjusting the Spectrum Power Controls -- Adjusting View Color Scheme -- Resetting the Frequency Spectrum View -- Working with Frequency -- Removing Frequencies -- Finishing Up -- Lesson Review -- Lesson 6 Recording in Soundtrack Pro -- Opening a Multitrack Project -- Using the Timecode HUD -- Working with Tracks -- Creating Tracks -- Reordering Tracks -- Deleting Tracks -- Naming Tracks -- Locking Tracks -- Setting Up for Recording -- Choosing a Track to Record -- Choosing a Recording Input -- Choosing a Channel Configuration -- Adjusting the Channel Setting -- Displaying Recording Settings in the Track Header -- Recording a Single Take -- Choosing a Recording Destination -- Arming a Track for Recording -- Setting a Recording Level -- Resetting the Peak Indicator -- Recording a Take -- Collecting the Project -- Using Punch Recording -- Lesson Review -- Lesson 7 Editing Dialogue -- Using Soundtrack Pro's Editing Tools -- Using the Selection Tool -- Using the Blade Tool -- Deleting Clips -- Using the Timeslice Tool -- Arranging Clips -- Disabling Snapping Mode -- Moving Clips in a Single Track…”

Tabla de Contenidos: “…Special Effects -- Creating complex effects with particle systems -- Adding a dust particle effect to the player character -- Moving the clouds -- Smoothing with Linear interpolation (Lerp) -- Letting the rocks float on the water -- Adding parallax scrolling to the mountains in the background -- Enhancing the game screen's GUI -- Event - player lost a life -- Event - score increased -- Summary -- 9. …”

Tabla de Contenidos: “…Resilience at the Edge: Strategies of Small-Scale Societies for Long-Term Sustainable Living in Dryland Environments -- Introduction -- Basin Wetlands -- Linear Valleys -- Conclusions -- References -- Beyond Boom and Bust: Climate in the History of Medieval Steppe Empires (C. 550-1350 CE) -- Case Studies -- Concluding Remarks -- References -- Lessons for Modern Environmental and Climate Policy from Iron Age South Central Africa -- Introduction -- Background -- An Introduction to Historical Linguistics -- Forgotten Strategies for Future Policy -- References -- Crisis and Recovery -- Systemic Risk and Resilience: The Bronze Age Collapse and Recovery -- Introduction -- Systemic Resilience and Risk in Societies -- Resilience -- Systemic Risk -- The Bronze Age -- System Interconnectivity: Economic, Political and Cultural -- Shocks and Interconnections -- Mapping the Systems Collapse -- Bronze Age Recovery -- Conclusions: Parallels to the Modern Globalised World System -- References -- Panarchy and the Adaptive Cycle: A Case Study from Mycenaean Greece -- Introduction -- Brief Overview of the Bronze Age Collapse -- Resilience/Adaptive Cycle/Panarchy -- The Aegean Region as an Example of Panarchic Collapse -- Discussion/Conclusions -- References -- Managing the Roman Empire for the Long Term: Risk Assessment and Management Policy in the Fifth to Seventh Centuries -- The Late Roman Empire: An Administrative Approach -- Landscape and Climatic Change in the Late Roman Empire: An Environmental Approach -- The Late Roman Empire in the East: A Systems Approach -- Conclusion -- References -- Success and Failure in the Norse North Atlantic: Origins, Pathway Divergence, Extinction and Survival -- Introduction -- The Archaeological Science-Policy Interface -- Problems of Collapse Discourse -- How Are Archaeological Data Useful Now? …”

Tabla de Contenidos: “…Filicetti and Scott E. Nielsen Effects of Linear Disturbances and Fire -- Severity on Velvet Leaf Blueberry Abundance, Vigor, and Berry Production in Recently Burned Jack Pine -- Forests Reprinted from: Forests 2017, 8, 398, doi: 10.3390/f8100398 35 -- Crystal A. …”

Tabla de Contenidos: “…Rank for time series analysis -- Case scenario -- Key KPIs -- CTE for time series analysis -- Importance of using CTEs while performing time series analysis -- Forecasting with linear regression -- Case scenario -- Key KPIs -- Summary -- In the next chapter, we will learn different methods to find outliers in the data easily. …”

Tabla de Contenidos: “…Evolutionary Computation and Genetic Algorithm -- Evolutionary strategy -- Genetic algorithm -- Initialization -- Selection methods -- Tournament selection -- Linear ranking selection -- Proportionate roulette wheel selection -- Exponential ranking selection -- Crossover (recombination) operators -- Crossover operators for binary encoding -- Crossover operators for real-coded genetic algorithms -- Mutation operators -- Gaussian mutation -- Cauchy mutation -- Diversity mutation -- Lévy flight mutation -- Power mutation -- Termination conditions -- Fitness limit -- Maximum number of generations -- Maximum stall time -- Maximum runtime -- Best fitness value -- Adaptive genetic algorithm -- Differential evolution -- Mutation -- Crossover -- Selection -- Chaotic differential evolution -- Differential evolution example -- Ackley function approximation -- References -- 3. …”

Tabla de Contenidos: “…FDA Surveillance Data -- The Food Industry -- A Certification Business -- Summary -- SHORT-TERM EXPOSURE TO ALDICARB -- The Compound -- Acute Effects of Dietary Aldicarb Exposure -- The Consumption Data -- The Residue Data -- Effects of Assumptions Regarding Residues Below the LOQ -- Estimating Dietary Exposure -- Summary -- MULTIPLE EXPOSURE ASSESSMENT: ORGANOPHOSPHATE INSECTICIDES -- Cholinesterase Inhibition -- Relative Potency of Organophosphates -- Food Consumption Data -- Residue Data -- Exposure Analysis -- Summary -- NONDIETARY EXPOSURE TO PESTICIDES -- Exposure via Parents -- Exposure Through Air -- Outdoor Air -- Indoor Air -- Exposure via Contaminated Surfaces -- Home-Use Products -- Pet Products -- Playground Equipment -- Exposure via Medications and Personal Products -- N,N-Diethyl-m-toluamide -- Lindane and Malathion -- Lanolin -- Occupational Exposures -- Exposure via Accidental Ingestion -- CONCLUSIONS AND RECOMMENDATIONS -- Conclusions -- Recommendations -- REFERENCES -- 8 Estimating the Risks -- GENERAL PRINCIPLES OF RISK ASSESSMENT -- Toxicological Risk Assessment -- Cancer Risk Estimation -- Additivity to Background and Low-Dose Linearity -- Nonlinearity at High Doses -- Molecular Dosimetry -- Mathematical Modeling of Cancer Risk -- Species Conversion -- Benchmark Dose -- RISK ASSESSMENT FOR INFANTS AND CHILDREN -- Pharmacokinetics -- Pregnancy, Lactation, and Nursing -- Neurotoxicity -- Multiple Exposures -- Inert Ingredients -- Considerations Specific to Children -- Exposure and Low Socioeconomic Status -- Age-Dependent Toxicity -- Genetic Susceptibility -- Polymorphism in Metabolism -- Chronic Medical Conditions -- Interactions with Medication -- Acetylcholinesterase Inhibitors -- Antiepileptic Pharmaceuticals -- Other Pharmaceuticals -- Carcinogenesis -- Factors That Might Increase Risk of Cancer Among Infants and Children…”

Tabla de Contenidos: “…. -- Copyright -- Preface -- Contents -- Executive Summary -- INTRODUCTION -- PURPOSE AND SCOPE OF STUDY -- RESPONSES TO COMMITTEE CHARGE -- Technical Basis for Differences in Guidelines for TENORM -- Relative Merits of Different Scientific and Technical Assumptions -- Development of Contemporary Risk Analysis for NORM -- OTHER CONCLUSIONS AND RECOMMENDATIONS -- Policy Judgments for Risk Management -- Consistency of Radiation Guidelines -- Importance of Natural Background for Guidelines for TENORM -- Importance of Knowledge of Sources of TENORM -- Differences in Approaches to Radiation Risk Assessment -- Use of Linear, No-threshold Dose-Response Hypothesis -- Directions for Further Research on TENORM -- 1 Introduction -- DEFINITION AND SCOPE OF STUDY -- THE RADIOACTIVE MATERIALS OF CONCERN -- APPROACH TO THE STUDY -- Evaluation of Guidelines for Indoor Radon -- Evaluation of Guidelines for TENORM Other Than Indoor Radon -- Other Considerations -- STRUCTURE OF THE REPORT -- 2 Natural Radioactivity and Radiation -- NATURALLY OCCURRING RADIONUCLIDES -- Uranium -- Radium-226 -- Thorium -- Radium-228 -- Radon -- Lead-210 and Polonium-210 -- Potassium-40 -- Rubidium-87 -- Induced Radionuclides -- NATURAL SOURCES OF EXTERNAL IONIZING RADIATION -- Terrestrial Sources of External Radiation -- Cosmic Radiation -- SUMMARY OF HUMAN EXPOSURES TO NATURAL IONIZING RADIATION -- CONCLUSIONS -- 3 Major Sources of Technologically Enhanced Naturally-Occurring Radioactive Materials -- URANIUM MINING -- PHOSPHATE-FERTILIZER AND ELEMENTAL-PHOSPHORUS PRODUCTION -- RESIDUES OF COAL COMBUSTION -- OIL AND NATURAL-GAS PRODUCTION AND PROCESSING -- MUNICIPAL WATER TREATMENT -- METAL MINING AND PROCESSING -- GEOTHERMAL ENERGY PRODUCTION -- OTHER INDUSTRIES…”