Tabla de Contenidos: “…Overlay -- Erasing in Python -- Erasing Portugal from Iberia to Obtain Spain -- Erasing Points in Portugal from the Dataset -- Cutting Lines to Be Only in Spain -- Key Takeaways -- Part III: Machine Learning and Mathematics -- Chapter 9: Interpolation -- What Is Interpolation? …”

“…Lecturers at Capri included pillars in the fields of electromagnetics, communications, information technology and mathematics. As communications technology becomes increasingly wireless, an interdisciplinary viewpoint is necessary for professionals to correct problems and avoid others before they occur.…”

“…Statistical Inference for Models with Multivariate t-Distributed Errors: Includes a wide array of applications for the analysis of multivariate observations Emphasizes the development of linear statistical models with applications to engineering, the physical sciences, and mathematics Contains an up-to-date bibliography featuring the latest trends and advances in the field to provide a collective source for research on the topic Addresses linear regression models with non-normal errors with practical real-world examples Uniquely addresses regression models in Student's t-distributed errors and t-models Supplemented with an Instructor's Solutions Manual, which is available via written request by the Publisher "--…”

“…General relativity is a beautiful geometric theory, simple in its mathematical formulation but leading to numerous consequences with striking physical interpretations: gravitational waves, black holes, cosmological models, and so on. …”

Tabla de Contenidos: “…HIGMill® -- 7.3.4 Some Operational Points -- Media -- Media Loading -- Slurry Percent Solids -- 7.4 Other Grinding Mill Types -- Vibratory Mills -- Centrifugal Mills -- Roller Mills -- Table and Roller Mills -- Pendulum Roller Mills -- 7.5 Grinding Circuits -- 7.5.1 Circuit Types -- 7.5.2 Circuit Operation -- 7.5.3 Control of the Grinding Circuit -- Instrumentation -- Control Objectives/strategies -- References -- 8 Industrial Screening -- 8.1 Introduction -- 8.2 Screen Performance -- Efficiency Formulae -- Efficiency and Circulating Load -- Efficiency or Partition Curve -- Separation Efficiency -- 8.3 Factors Affecting Screen Performance -- Particle Size -- Feed Rate -- Screen Angle -- Particle Shape -- Open Area -- Vibration -- Moisture -- 8.4 Mathematical Models of Screens -- Phenomenological Models -- Empirical Models -- Numerical Models -- 8.5 Screen Types -- 8.5.1 Vibrating Screens -- Inclined or Circular Motion Screens -- Grizzly Screens -- Horizontal, Low-Head, or Linear Vibrating Screens -- Resonance Screens -- Dewatering Screens -- Banana or Multislope Screens -- Modular Screens -- Mogensen Sizer -- High-Frequency Screens -- Derrick Stack Sizer® -- 8.5.2 Vibration Modes -- Circular Motion (Single-Shaft) Screens -- Linear-Vibration (Double-Shaft) Screens -- Oval Motion (Triple-Shaft) Screens -- 8.5.3 Other Screen Types -- Static Grizzlies -- Mogensen Divergators -- Trommels -- Rotaspiral -- Bradford Breaker -- Roller Screens -- Flip-Flow Screen -- Circular, Gyratory, or Tumbler Screens -- Sieve Bends -- Linear Screen -- Pansep Screen -- 8.5.4 Screening Surfaces -- Bolt-In Screening Surfaces -- Tensioned Screening Surfaces -- Woven-Wire Cloth -- "Self-Cleaning" Wire -- Tensioned Rubber and Polyurethane Mats -- Modular Wire and Wedge Wire Panels -- References -- 9 Classification -- 9.1 Introduction -- 9.2 Principles of Classification…”

Tabla de Contenidos: “…-- 13.3 Various Models Proposed for Managing a Pandemic Like COVID-19 Using IoT -- 13.3.1 Smart Disease Surveillance Based on Internet of Things -- 13.3.2 IoT PCR for Spread Disease Monitoring and Controlling -- 13.4 Global Technological Developments to Overcome Cases of COVID-19 -- 13.4.1 Noteworthy Applications of IoT for COVID-19 Pandemic -- 13.4.2 Key Benefits of Using IoT in COVID-19 -- 13.4.3 A Last Word About Industrial Maintenance and IoT -- 13.4.4 Issues Faced While Implementing IoT in COVID-19 Pandemic -- 13.5 Results &amp -- Discussions -- 13.6 Conclusion -- References -- 14 Mathematical Insight of COVID-19 Infection-A Modeling Approach -- 14.1 Introduction -- 14.1.1 A Brief on Coronaviruses…”

Tabla de Contenidos: “…2.17.3 Demerits of Mean Deviation -- 2.17.4 Uses of Mean Deviation -- 2.18 Standard Deviation -- 2.18.1 Coefficient of Standard Deviation -- 2.18.2 Merits of Standard Deviation -- 2.18.3 Demerits of Standard Deviation -- 2.18.3.1 Uses -- 3 Probability -- 3.1 Introduction -- 3.2 Classical Probability -- 3.2.1 Properties of Classical Probability -- 3.2.2 Probability of Failure -- 3.3 Relative Frequency Approach of Probability -- 3.4 Symbolic Notation -- 3.5 Axiomatic Theory of Probability -- 3.6 Independent and Dependent Events -- 3.7 Conditional Probability -- 3.8 Multiplication Theorem on Probability -- 3.8.1 Solved Examples -- 3.9 Baye's Theorem -- 4 Random Variables -- 4.1 Introduction -- 4.2 Discrete Random Variable -- 4.3 Probability Distribution for a Discrete Random Variable -- 4.3.1 Probability Mass Function -- 4.3.2 Distribution Function -- 4.3.3 Additional Properties of Distribution Function -- 4.4 Mean and Variance of a Discrete Distribution -- 4.5 Continuous Random Variable -- 4.6 Probability Density Function -- 4.7 Cumulative Distribution Function -- 4.8 Mean and Variance of a Continuous Random Variable -- 4.8.1 Solved Examples -- 4.9 Joint Distributions -- 4.9.1 Joint Probability Function -- 4.9.2 Joint Probability Distribution of Discrete Random Variables -- 4.9.3 Marginal Probability Function of a Discrete Random Variables -- 4.9.4 Joint Distributive Function of Discrete Random Variables -- 4.10 Conditional Probability Distribution -- 4.11 Independent Random Variables -- 4.12 Joint Probability Function of Continuous Random Variables -- 4.13 Joint Probability Distribution Function of Continuous Random Variables -- 4.14 Marginal Distribution Function -- 4.14.1 Marginal Density Functions -- 4.15 Conditional Probability Density Functions -- 4.16 Mathematical Expectation and Moments -- 4.16.1 Properties of Mathematical Expectation…”

Tabla de Contenidos: “…Machine generated contents note: Chapter 1: Introduction to High Performance Drives 1.1 Preliminary Remarks 1.2 General Overview of High Performance Drives 1.3 Challenges and Requirements for Electric Drives for Industrial Applications 1.4 Organization of the Book References Chapter 2: Mathematical and Simulation Models of AC Machines 2.1 Preliminary Remarks 2.2 DC Motors 2.2.1 Separately Excited DC Motor Control 2.2.2 Series DC Motor Control 2.3 Squirrel Cage Induction Motor 2.3.1 Space vector representation 2.3.2 Per unit model of Induction Motor 2.3.3 Double Fed Induction Generator (DFIG) 2.4 Mathematical Model of Permanent Magnet Synchronous Motor Problems References Chapter 3: Pulse Width Modulation of Power Electronic DC-AC Converter 3.1 Preliminary Remarks 3.2 Classification of Pulse Width Modulation Schemes for Voltage source inverter 3.3 Pulse Width Modulated Inverters 3.3.1 Single Phase Half Bridge Inverters 3.3.1.1 Matlab/Simulink Model of Half Bridge Inverter 3.3.2 Single Phase Full Bridge Inverters 3.3.2.1 Matlab/Simulink Model of Single-phase Full-Bridge Inverter 3.4 Three-phase PWM voltage source inverter 3.4.1 Carrier based Sinusoidal PWM 3.4.2 Third Harmonic Injection Carrier-based PWM 3.4.3 Carrier-based PWM With Offset Addition 3.4.4 Space Vector PWM 3.4.5 Discontinuous Space Vector PWM 3.4.6 Matlab/Simulink Model for space vector PWM 3.4.7 Space Vector PWM in Over-modulation Region 3.4.8 Artificial Neural Network Based PWM 3.5 Relationship Between Carrier-based PWM and Space Vector PWM 3.6 Multi-level Inverters 3.6.1 Diode Clamped Multi-level Inverters 3.6.2 Flying Capacitor Type Multi-level Inverter 3.6.3 Cascaded H-Bridge Multi-level Inverter 3.7 Impedance Source or Z-Source Inverter 3.7.1 Circuit Analysis 3.7.2 Carrier-based Simple Boost PWM control of a Z-source Inverter 3.7.3 Carrier-based Maximum Boost PWM control of a Z-source Inverter 3.7.4 Matlab/Simulink model of Z-source inverter 3.8 Quasi Impedance Source or qZSI Inverter 3.8.1 Matlab/Simulink model of qZ-source inverter 3.9 Dead Time Effect in a Multi-phase Inverter 3.10 Summary References Chapter 4: Field Oriented Control of AC Machines 4.1 Introduction 4.2 Induction Machines Control 4.2.1 Control of Induction Motor using V/f method 4.2.2 Vector Control of Induction Motor [4.1-4.16] 4.2.3 Direct and Indirect Field Oriented Control 4.2.4 Rotor and stator flux computation 4.2.5 Adaptive flux observer 4.2.6 Stator Flux Orientation 4.2.7 Field Weakening Control 4.3 Vector Control of Double Fed Induction Generator (DFIG) 4.3.1 Introduction 4.3.2 Vector Control of DFIG connected with the Grid (abModel) 4.3.3 Simulation Results 4.4 Control of Permanent Magnet Synchronous Machine 4.4.1 Introduction 4.4.2 Vector Control of PMSM in dq axis 4.4.3 Vector Control of PMSM in a-baxis using PI controller 4.4.4 Scalar Control of PMSM Exercises Additional tasks Possible tasks for DFIG References Chapter 5: XXXXXXXXXX Chapter 6: Nonlinear Control of Electrical Machines Using Nonlinear Feedback 6.1 Introduction 6.2 dynamic system linearization using non-linear feedback 6.3 Nonlinear Control of Separately Excited DC Motor 6.3.1 Matlab/Simulink Nonlinear Control Model 6.3.2 Nonlinear Control Systems 6.3.3 Speed Controller 6.3.4 Control for variable m 6.3.5 Field Current Controller 6.3.6 Simulation Results 6.4 Multiscalar model (MM) of induction motor 6.4.1 Multiscalar variables 6.4.2 Nonlinear linearization of induction motor fed by voltage controlled VSI 6.4.3 Design of system control 6.4.4 Nonlinear linearization of induction motor fed by current controlled VSI 6.4.5 Stator oriented nonlinear control system (based on Ys,is) 6.4.6 Rotor-Stator Fluxes based Model 6.4.7 Stator Oriented Multiscalar Model 6.4.8 Multiscalar Control of Induction Motor 6.4.9 Induction Motor Model 6.4.10 State Transformation 6.4.11 Decoupled IM Model 6.5 MM of double fed induction machine (DFIM) 6.6 Nonlinear Control of Permanent Magnet Synchronous Machine 6.6.1 Nonlinear Control of PMSM for a dq motor model 6.6.2 Nonlinear Vector Control of PMSM in a-baxis 6.6.3 PMSM in a-b(x-y) axis 6.6.4 Transformation 6.6.5 Control System 6.6.6 Simulation Results Problems References Chapter 7: Five-Phase Induction Motor Drive System 7.1 Preliminary remarks 7.2 Advantages and Applications of Multi-phase drives 7.3 Modelling and Simulation of a Five-phase Induction motor drive 7.3.1 Five-phase Induction motor model 7.3.1.1 Phase variable model 7.3.1.2 Model transformation 7.3.1.3 Machine model in an arbitrary common reference frame 7.3.1.4 Matlab/Simulink model of main fed five-phase induction motor drive 7.3.2 Five-phase Two-level Voltage source Inverter Model 7.3.2.A Ten-Step Mode of Operation 7.3.2.A.1 Fourier analysis of the five-phase inverter output voltages 7.3.2.A.2 Matlab/Simulink Modelling for Ten-step Mode 7.3.2.A.3 Prototype of a five-phase VSI for ten-step operation 7.3.2.A.4 Experimental Results for Ten-Step mode 7.3.2.A.5 PWM mode of operation of five-phase VSI 7.3.3 PWM Schemes of a Five-phase VSI 7.3.3.1 Carrier-based Sinusoidal PWM scheme 7.3.3.2 Matlab/Simulink simulation of Carrier-based sinusoidal PWM 7.3.3.3 5th Harmonic Injection Based pulse width modulation scheme 7.3.3.4 Matlab/Simulink simulation of 5th harmonic injection PWM 7.3.3.5 Offset addition based pulse width modulation scheme 7.3.3.6 Space Vector Pulse Width Modulation Scheme 7.3.3.7 Matlab/Simulink model of SVPWM 7.4 Indirect Rotor Field Oriented Control of Five-phase induction motor 7.4.1 Matlab/Simulink Model of Field oriented control of five-phase Induction machine 7.5 Field Oriented Control of Five-phase induction motor with current control in the Synchronous reference frame 7.6 Model Predictive Control (MPC) 7.6.1 MPC Applied to a Five-phase Two-Level VSI 7.6.2 Matlab/Simulink of MPC for Five-phase VSI 7.7 Summary 7.8 Bibliography Chapter 8: Sensorless Speed Control of AC Machines 8.1 Preliminary Remarks 8.2 Sensorless Control of Induction Motor 8.2.1 Observer 1 8.2.2 Observer 2 8.2.3 Observer 3 8.2.4 MRAS- (closed loop) speed estimator 8.2.5 The use of power measurements 8.3 Sensorless Control of PMSM 8.3.1 Control system of PMSM 8.3.2 Adaptive backstepping observer 8.3.3 Model Reference Adaptive System for PMSM 8.3.4 Simulation Results 8.4 MRAS-Based Sensorless Control of Five-Phase Induction Motor Drive 8.4.1 MRAS-BASED SPEED ESTIMATOR 8.4.2 Simulation Results References Chapter 9: Selected Problems of Induction Motor Drives with Voltage Inverter and Inverter Output Filters 9.1 Drives and filters - overview 9.2 Three phase to two phase transformations 9.3 Voltage and current common mode component 9.3.1 Matlab/Simulink model of induction motor drive with PWM inverter and common mode voltage 9.4 Induction motor common mode circuit 9.5 Bearing current types and reduction methods 9.5.1 Common mode choke 9.5.2 Common mode transformers 9.5.3 Common mode voltage reduction by PWM modifications 9.6 Inverter output filters 9.6.1 Selected structures of inverter output filters 9.6.2 Inverter output filters design 9.6.3 Motor choke 9.6.4 Matlab/Simulink model of induction motor drive with PWM inverter and differential mode (normal mode) LC filter 9.7 Estimation problems in the drive with filters 9.7.1 Introduction 9.7.2 Speed observer with disturbances model 9.7.3 Simple observer based on motor stator models 9.8 Motor control problems in the drive with filters 9.8.1 Introduction 9.8.2 Field oriented control 9.8.3 Nonlinear field oriented control 9.8.4 Nonlinear multiscalar control 9.9 Predictive current control in the drive system with output filter 9.9.1 Control system 9.9.2 Predictive current controller 9.9.3 EMF estimation technique 9.10 Problems 9.11 Questions 9.12 References Index…”

Tabla de Contenidos: “…Python crash course -- B.1 Simple data types -- B.1.1 Numbers -- B.1.2 Strings -- B.1.3 Booleans -- B.1.4 The None object -- B.2 Operators -- B.2.1 Mathematical operators -- B.2.2 Equality and inequality operators -- B.3 Variables -- B.4 Functions -- B.4.1 Arguments and return values -- B.4.2 Custom functions -- B.5 Modules -- B.6 Classes and objects…”

Tabla de Contenidos: “…Introduction -- 1.1 Novelty of the study -- 2. Mathematical model of PV array -- 3. Methodology -- 3.1 Formation of the proposed jigsaw puzzle arrangement -- 3.2 Physical relocation of modules in the PV array -- 3.3 Mathematical analysis of the PV array configurations -- 3.3.1 TCT PV array configuration -- 3.3.2 SPTCT PV array configuration -- 3.3.3 BLTCT PV array configuration -- 3.3.4 HCTCT PV array configuration -- 3.4 Description of the existing puzzle patterns -- 4. …”

Tabla de Contenidos: “…Mothers' and Fathers' Roles -- Occupational Roles and Power of Men and Women -- Gender and Social Relations -- 6 Interdependence and Autonomy -- Sleeping "Independently -- Comfort from Bedtime Routines and Objects -- Social Relations in Cosleeping -- Independence versus Interdependence with Autonomy -- Individual Freedom of Choice in an Interdependent System -- Learning to Cooperate, with Freedom of Choice -- Adult-Child Cooperation and Control -- Parental Discipline -- Teachers' Discipline -- Teasing and Shaming as Indirect Forms of Social Control -- Conceptions of Moral Relations -- Moral Reasoning -- Morality as Individual Rights or Harmonious Social Order -- Learning the Local Moral Order -- Mandatory and Discretionary Concepts in Moral Codes -- Cooperation and Competition -- Cooperative versus Competitive Behavior in Games -- Schooling and Competition -- 7 Thinking with the Tools and Institutions of Culture -- Specific Contexts Rather Than General Ability: Piaget around the World -- Schooling Practices in Cognitive Tests: Classification and Memory -- Classification -- Memory -- Cultural Values of Intelligence and Maturity -- Familiarity with the Interpersonal Relations used in Tests -- Varying Definitions of Intelligence and Maturity -- Generalizing Experience from One Situation to Another -- Learning to Fit Approaches Flexibly to Circumstances -- Cultural Tools for Thinking -- Literacy -- Mathematics -- Other Conceptual Systems -- Distributed Cognition in the Use of Cultural Tools for Thinking -- Cognition beyond the Skull -- Collaboration in Thinking across Time and Space…”

Tabla de Contenidos: “…Organization of a Science Educational Tour -- Important Considerations for Planning Co-curricular Activities -- Role of a Teacher in Science Co-curricular Activities -- Summary -- Questions -- Appendices -- Appendix 1-Some Important Recommendations of National Policy on Education (NPE) 1986 on Science and Related Aspects with Modifications Undertaken in 1992 -- The Essence and Role of Education -- National System of Education -- Child-Centred Approach -- Technical and Management Educations -- Books and Libraries -- Media and Educational Technology -- Education and Environment -- Mathematics Teaching -- Science Education -- The Evaluation Process and Examination Reform -- The Teacher -- Teacher Education -- Appendix 2-Summary of National Curriculum Framework, 2005 -- Summary of NCF 2005 -- Appendix 3-National Curriculum Framework on Science -- Science -- Appendix 4-List of Equipments for Physics Laboratory -- Appendix 5-List of Equipments for Chemistry Laboratory…”

Tabla de Contenidos: “…90 -- Limits and Infinity 90 -- Vertical Asymptotes 90 -- Horizontal Asymptotes 92 -- Special Limit Theorems 96 -- Evaluating Limits Graphically 97 -- Technology Focus: Calculating Limits 99 -- 7 Continuity 103 -- What Does Continuity Look Like? 104 -- The Mathematical Definition of Continuity 104 -- Types of Discontinuity 109 -- Jump Discontinuity 109 -- Point Discontinuity 113 -- Infinite/Essential Discontinuity 114 -- Removable vs Nonremovable Discontinuity 117 -- The Intermediate Value Theorem 118 -- 8 The Difference Quotient 121 -- When a Secant Becomes a Tangent 122 -- Honey, I Shrunk the x 123 -- Applying the Difference Quotient 127 -- The Alternate Difference Quotient 129 -- Part 3: The Derivative 131 -- 9 Laying Down the Law for Derivatives 133 -- When Does a Derivative Exist? …”

Tabla de Contenidos: “…PROC TRANSPOSE -- SAS Studio Transpose Data task -- Statistical and mathematical data transformations -- PROC MEANS -- Imputation -- Identifying missing values -- Characterizing data -- List Table Attributes -- SAS macro facility -- Macro variables -- Macros -- Summary -- Chapter 4: Analysis with SAS® Software -- Analytics -- Descriptive and predictive analysis -- Descriptive analysis -- PROC FREQ -- PROC CORR -- PROC UNIVARIATE -- Predictive analysis -- Regression analysis -- PROC REG -- Forecasting analysis -- PROC TIMEDATA -- PROC ARIMA -- Optimization analysis -- SAS/IML -- Interacting with the R programming language -- PROC IML -- Summary -- Chapter 5: Reporting with SAS® Software -- Reporting -- SAS Studio tasks and snippets that generate reports and graphs -- BASE procedures designed for reporting -- TABULATE procedure examples -- REPORT procedure example -- The Output Delivery System -- ODS Tagsets -- ODS trace -- ODS document and the DOCUMENT procedure -- ODS Graphics -- How to make a user-defined snippet -- Summary -- Chapter 6: Other Programming Languages in BASE SAS® Software -- The DS2 programming language -- When to use DS2 -- How is DS2 similar to the data step? …”

Tabla de Contenidos: “…-- 21.Block-Diagram Algebra and the Feedback Equation -- Composite Systems -- The Feedback Equation -- An Alternative Derivation of the Feedback Equation -- Block-Diagram Algebra -- Limitations and Importance of Transfer Function Methods -- 22.PID Controllers -- The Transfer Function of the PID Controller -- The Canonical Form of the PID Controller -- The General Controller -- Proportional Droop Revisited -- A Worked Example -- 23.Poles and Zeros -- Structure of a Transfer Function -- Effect of Poles and Zeros -- Special Cases and Additional Details -- Pole Positions and Response Patterns -- Dominant Poles -- Pole Placement -- What to Do About Delays -- 24.Root Locus Techniques -- Construction of Root Locus Diagrams -- Root Locus or "Evans" Rules -- Angle and Magnitude Criteria -- Practical Issues -- Examples -- Simple Lag with a P Controller -- Simple Lag with a PI Controller -- 25.Frequency Response and the Bode Plot -- Frequency Response -- Frequency Response in the Physical World -- Frequency Response for Transfer Functions -- A Worked Example -- The Bode Plot -- A Criterion for Marginal Stability -- Other Graphical Techniques -- 26.Topics Beyond This Book -- Discrete-Time Modeling and the z-Transform -- State-Space Methods -- Robust Control -- Optimal Control -- Mathematical Control Theory -- pt. V Appendices…”

Tabla de Contenidos: “…Requirements for the library -- Solutions approach -- A quick primer on ADO.net -- The abstract factory pattern and object instantiation -- The SQL server implementation -- The SQLite implementation -- The Oracle and ODBC implementation -- The adapter pattern powered API -- The adapter class Implementation -- The adapter configuration -- The client program -- Summary -- Chapter 5: Producing Tabular Reports -- Requirements for the library -- Solutions approach -- iTextSharp for the PDF output -- Composite and visitor pattern - A quick primer -- The composite pattern and document composition -- Visitor pattern for document traversal -- PDFVisitor for PDF generation -- HTMLVisitor for HTML generation -- The client program -- Summary -- Chapter 6: Plotting Mathematical Expressions -- Requirements for the expressions library and app -- Solutions approach -- The graph plotter application -- The observer pattern for UI events -- The expression evaluator and interpreter pattern -- The abstract syntax tree (AST) -- The grammar of expressions -- Lexical analysis -- The parser module -- The builder, facade, and expression APIs -- Summary -- Chapter 7: Patterns in the .NET Base Class Library -- Adapter pattern in the .NET BCL -- Strategy pattern in the .NET BCL -- Builder pattern in the .NET BCL -- Decorator pattern in the .NET BCL -- Chain of responsibility pattern in ASP.net -- Bridge pattern in the .NET RCW -- Factory pattern in the .NET BCL -- Observer pattern in the WPF -- Composite pattern in the .NET Framework -- Facade pattern in the .NET BCL -- Iterator pattern in the .NET BCL -- Summary -- Chapter 8: Concurrent and Parallel Programming under .NET -- Days of Free Lunch -- Days of Sponsored Lunch -- Concurrent versus parallel -- Some common patterns of parallel programming -- Embarrassingly or conveniently parallel -- Problem statement…”

Tabla de Contenidos: “…-- Logistic regression -- Which mathematical functions does logistic regression use? …”

Tabla de Contenidos: “…Printers in the classroom: Teaching design, engineering, and art ; Hands-on history ; William Hand, Jr. boat hull ; Herreshoff cleat ; Reactions to the 3D prints ; Learning through re-creating history ; The special-needs student ; After-school activities ; Robotics clubs and teams ; DIY girls ; Young maker programs ; Career tech ed ; Early-adopter experiences -- Scientific visualization: Visualizing molecular biology ; Model accuracy considerations ; Example: 3D-printed models of six-helix DNA bundles ; Visualizing mathematical abstractions ; Parabola math manipulative ; Surfaces of revolution ; Sinusoids ; General surface modeling ; Other scientific uses of 3D printing -- Futures: Technology trends ; Extreme users ; Improving the user experience ; Faster printing ; Filament ; Emerging 3D-printing applications ; Printing food ; 3D printing in medicine ; The developing world ; The business of 3D printing ; Printer patent issues ; Hardware as a service -- Appendix A: typical printer settings: Slic3r typical settings ; Cura settings difference -- Appendix B: links and resources: A brief history of 3D printing ; The desktop 3D printer ; Open source ; Making a 3D model ; Slicing a 3D model ; Driving your printer: G-Code ; Material considerations ; Case studies ; Moving to metal ; Large prints and post-processing ; Troubleshooting ; Printers in the classroom ; Scientific visualization ; Futures ; Focusing on 3D printing…”

Tabla de Contenidos: “…-- Computational Objects and Meshes -- Vertices -- Normals -- UV Coordinates or Texture Coordinates -- Vertex Color -- Triangles and Polygons -- Programming Shaders -- Vertex-Fragment Shader -- Shader Programming Languages -- Shader Graph -- Shaders' Mathematical Foundations -- Vectors -- Adding Vectors -- Scalar Product -- Coordinate Systems -- Object Space -- World Space -- View Space -- Summary -- Chapter 2: Shader Graph -- Create a Unity 3D Project -- Unity Editor -- Create Your First Shader -- Create a Material -- Rendering Pipelines -- URP Pipeline -- Upgrading a Project to URP -- Install URP Package -- Set Up a URP Asset -- Upgrade Previous Materials -- Shader Graph Editor -- Main Preview -- Blackboard -- Graph Inspector -- Graph Settings -- Node Settings -- Master Stack -- Vertex Block -- Position Node -- Normal Node -- Tangent Node -- Fragment Block -- Base Color -- Normal -- Metallic -- Smoothness -- Emission -- Post-Processing Effects -- Ambient Occlusion -- Alpha -- Specular Color -- Shader Graph Elements -- Nodes -- Create Nodes -- Ports and Connections -- Node Previews -- Group Nodes -- Properties -- Properties Settings -- Reference -- Exposed -- Default -- Modes -- Redirect Elbow -- Sticky Notes -- Summary -- Chapter 3: Commonly Used Nodes -- UV Node -- One Minus Node -- Add Node -- Clamp Node -- Multiply Node -- Sine Node -- Time Node -- Remap Node -- Lerp Node -- Fraction Node -- Step Node -- SmoothStep Node -- Power Node -- Position Node -- Dot Product Node -- Posterize Node -- Procedural Noise Nodes -- Simple Noise -- Gradient Noise -- Voronoi Noise Node -- Fresnel Node -- Summary -- Chapter 4: Dynamic Shaders -- Scanline 3D…”

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…”