“…"Cybernetics is the interdisciplinary study of controlling the flow of information in systems with feedback loops, be they biological, mechanical, cognitive, or social. …”

“…"explains how digital audio is encoded from microphone to hard disk; how sound is processed using compression and equalization; and how to turn audio source material into a great soundtrack using loops and ambient soundscapes"--Back cover…”

Tabla de Contenidos: “…Problem two: "Mixed default/survival" events -- 4.1. The looping default model and the Freund distribution -- 4.2. …”

Tabla de Contenidos: “…9.6 Creating Incentives -- 9.6.1 Contractual incentives -- 9.6.2 Financial incentives -- 9.6.3 Political incentives -- 9.6.4 Professional incentives -- 9.7 Summary -- References -- Part II: The challenges of source separation and decentralization -- Chapter 10: Implementation of source separation and decentralization in cities -- 10.1 Introduction -- 10.2 The Main Advantages of Source Separation and Decentralization in Cities -- 10.3 Challenges of Source Separation and Decentralization in Cities -- 10.3.1 The challenge of transport -- 10.3.2 The challenge of developing treatment processes -- 10.4 Transition -- 10.5 Conclusions -- References -- Chapter 11: Hygiene, a major challenge for source separation and decentralization -- 11.1 Introduction -- 11.2 Hazard Identification in a System Perspective -- 11.3 Human Exposure Assessment -- 11.4 Treatment Barriers and Examples of Their Reduction Efficiency -- 11.5 Quantifications of Risks and Risk-Benefit Strategies -- 11.6 Future Challenges and Knowledge Gaps -- References -- Chapter 12: Closing the loop: Recycling nutrients to agriculture -- 12.1 Nutrient Balance Close to Crop Removal -- 12.2 Source-Separated Toilet Wastes are Unique Biological Fertilizers -- 12.3 Nutrient Requirements and Fertilizers Used in Practice -- 12.4 Economic and GWP Value of Nutrients -- 12.5 Urine is Very Low in Pollutants -- 12.6 Low Hygiene Risk -- 12.7 Spreading Machinery -- 12.8 The Farmer - Businessman, Soil Steward and Entrepreneur -- References -- Chapter 13: The potential of control and monitoring -- 13.1 Introduction -- 13.1.1 Instrumentation, control and automation aspects -- 13.2 The Influent -- 13.3 Treatment Technologies -- 13.4 Instrumentation -- 13.5 Monitoring -- 13.6 Actuators -- 13.7 Operating Competence -- 13.8 The Need for Standardization -- 13.9 Conclusions -- References…”

Tabla de Contenidos: “…10.7.8 The Genome Sequencer 454 FLX System -- 10.7.9 Illumina/Solexa Genome Analyzer -- 10.7.10 Transition Sequencing Techniques -- 10.7.11 Ion-Torrent's Semiconductor Sequencing -- 10.7.12 Helico's Genetic Analysis Platform -- 10.7.13 Third-Generation Sequencing Techniques -- 10.8 Conclusion -- Abbreviations -- Acknowledgement -- References -- 11 Bioinformatics in Cancer Detection -- 11.1 Introduction -- 11.2 The Era of Bioinformatics in Cancer -- 11.3 Aid in Cancer Research via NCI -- 11.4 Application of Big Data in Developing Precision Medicine -- 11.5 Historical Perspective and Development -- 11.6 Bioinformatics-Based Approaches in the Study of Cancer -- 11.6.1 SLAMS -- 11.6.2 Module Maps -- 11.6.3 COPA -- 11.7 Conclusion and Future Challenges -- References -- 12 Genomic Association of Polycystic Ovarian Syndrome: Single-Nucleotide Polymorphisms and Their Role in Disease Progression -- 12.1 Introduction -- 12.2 FSHR Gene -- 12.3 IL-10 Gene -- 12.4 IRS-1 Gene -- 12.5 PCR Primers Used -- 12.6 Statistical Analysis -- 12.7 Conclusion -- References -- 13 An Insight of Protein Structure Predictions Using Homology Modeling -- 13.1 Introduction -- 13.2 Homology Modeling Approach -- 13.2.1 Strategies for Homology Modeling -- 13.2.2 Procedure -- 13.3 Steps Involved in Homology Modeling -- 13.3.1 Template Identification -- 13.3.2 Sequence Alignment -- 13.3.3 Backbone Generation -- 13.3.4 Loop Modeling -- 13.3.5 Side Chain Modeling -- 13.3.6 Model Optimization -- 13.3.6.1 Model Validation -- 13.4 Tools Used for Homology Modeling -- 13.4.1 Robetta -- 13.4.2 M4T (Multiple Templates) -- 13.4.3 I-Tasser (Iterative Implementation of the Threading Assembly Refinement) -- 13.4.4 ModBase -- 13.4.5 Swiss Model -- 13.4.6 PHYRE2 (Protein Homology/Analogy Recognition Engine 2) -- 13.4.7 Modeller -- 13.4.8 Conclusion -- Acknowledgement -- References…”

Tabla de Contenidos: “…Definitions and Descriptions -- Loops -- Attributes Permitted -- Ad-hoc Subprocess -- 6.5.3. …”

Tabla de Contenidos: “…Merging States or Paths -- 4.4. Handling Loops -- 4.5. Parallel Exploration -- 5. Compositional Analysis -- 5.1. …”

Tabla de Contenidos: “…8.1 Banach and Hilbert space rank, boundedness, and Schauder bases -- 8.2 Commutative and noncommutative Banach algebras -- 8.3 Subgroup in a Banach algebra -- 8.4 Bounded operators on a Hilbert space -- 8.5 Invertible operator algebra criteria on a Hilbert space -- 8.6 Spectrum in a Banach algebra -- 8.7 Ideals in a Banach algebra -- 8.8 Gelfand-Naimark-Segal construction -- 8.9 Generating a C* algebra -- 8.10 The Gelfand formula -- References -- 9 Von Neumann algebra -- 9.1 Operator topologies -- 9.2 Two basic von Neumann algebras -- 9.3 Commutant in a von Neumann algebra -- 9.4 The Gelfand transform -- References -- 10 Fiber bundles -- 10.1 MSA for the algebraic quotient spaces -- 10.2 The topological quotient space -- 10.3 Basic topological and manifold concepts -- 10.4 Fiber bundles from manifolds -- 10.5 Sections in a fiber bundle -- 10.6 Line and vector bundles -- 10.7 Analytic vector bundles -- 10.8 Elliptic curves over C -- 10.9 The quaternions -- 10.10 Hopf fibrations -- 10.11 Hopf fibration with bloch sphere S2, the one-qubit base -- 10.12 Hopf fibration with sphere S4, the two-qubit base -- References -- 11 Lie algebras and Lie groups -- 11.1 Algebraic structure -- 11.2 MSA view of a Lie algebra -- 11.3 Dimension of a Lie algebra -- 11.4 Ideals in a Lie algebra -- 11.5 Representations and MSA of a Lie group of a Lie algebra -- 11.6 Briefing on topological manifold properties of a Lie group -- 11.7 Formal description of matrix Lie groups -- 11.8 Mappings between Lie groups and Lie algebras -- 11.9 Complexification of Lie algebras -- References -- 12 Fundamental and universal covering groups -- 12.1 Homotopy a graphical view -- 12.2 Initial point equivalence for loops -- 12.3 MSA description of the fundamental group -- 12.4 Illustrating the fundamental group -- 12.5 Homotopic equivalence for topological spaces…”

Tabla de Contenidos: “…3.3.3 The with special form -- 3.4 Loops and iterations -- 3.4.1 Iterating with recursion -- 3.4.2 Tail function calls -- 3.4.3 Higher-order functions -- 3.4.4 Comprehensions -- 3.4.5 Streams -- Summary -- 4 Data abstractions -- 4.1 Abstracting with modules -- 4.1.1 Basic abstraction -- 4.1.2 Composing abstractions -- 4.1.3 Structuring data with maps -- 4.1.4 Abstracting with structs -- 4.1.5 Data transparency -- 4.2 Working with hierarchical data -- 4.2.1 Generating IDs -- 4.2.2 Updating entries -- 4.2.3 Immutable hierarchical updates -- 4.2.4 Iterative updates -- 4.2.5 Exercise: importing from a file -- 4.3 Polymorphism with protocols -- 4.3.1 Protocol basics -- 4.3.2 Implementing a protocol -- 4.3.3 Built-in protocols -- Summary -- 5 Concurrency primitives -- 5.1 Concurrency in BEAM -- 5.2 Working with processes -- 5.2.1 Creating processes -- 5.2.2 Message passing -- 5.3 Stateful server processes -- 5.3.1 Server processes -- 5.3.2 Keeping a process state -- 5.3.3 Mutable state -- 5.3.4 Complex states -- 5.3.5 Registered processes -- 5.4 Runtime considerations -- 5.4.1 A process is sequential -- 5.4.2 Unlimited process mailboxes -- 5.4.3 Shared-nothing concurrency -- 5.4.4 Scheduler inner workings -- Summary -- 6 Generic server processes -- 6.1 Building a generic server process -- 6.1.1 Plugging in with modules -- 6.1.2 Implementing the generic code -- 6.1.3 Using the generic abstraction -- 6.1.4 Supporting asynchronous requests -- 6.1.5 Exercise: refactoring the to-do server -- 6.2 Using GenServer -- 6.2.1 OTP behaviours -- 6.2.2 Plugging into GenServer -- 6.2.3 Handling requests -- 6.2.4 Handling plain messages -- 6.2.5 Other GenServer features -- 6.2.6 Process lifecycle -- 6.2.7 OTP-compliant processes -- 6.2.8 Exercise: GenServer-powered to-do server -- Summary -- 7 Building a concurrent system -- 7.1 Working with the mix project…”

Tabla de Contenidos: “…Effectiveness on General Specification -- 4.3 RQ2. Effectiveness on Loop Invariants…”

Tabla de Contenidos: “…Preface xiii Table of Engineering Applications xvii Part 1 Introduction 1 Mathematica Environment and Basic Syntax 3 1.1 Introduction 3 1.2 Selecting Notebook Characteristics 4 1.3 Notebook Cells 8 1.4 Delimiters 12 1.5 Basic Syntax 12 1.5.1 Introduction 12 1.5.2 Templates: Greek Symbols and Mathematical Notation 15 1.5.3 Variable Names and Global Variables 18 1.6 Mathematical Constants 19 1.7 Complex Numbers 21 1.8 Elementary, Trigonometric, Hyperbolic, and a Few Special Functions 22 1.9 Strings 25 1.9.1 String Creation: StringJoin[] and ToString[] 25 1.9.2 Labeled Output: Print[], NumberForm[], EngineeringForm[], and TraditionalForm[] 26 1.10 Conversions, Relational Operators, and Transformation Rule 28 1.11 Engineering Units and Unit Conversions: Quantity[] and UnitConvert[] 30 1.12 Creation of CDF Documents and Documents in Other Formats 33 1.13 Functions Introduced in Chapter 1 34 Exercises 35 2 List Creation and Manipulation: Vectors and Matrices 39 2.1 Introduction 39 2.2 Creating Lists and Vectors 39 2.2.1 Introduction 39 2.2.2 Creating a List with Table[] 45 2.2.3 Summing Elements of a List: Total[] 46 2.2.4 Selecting Elements of a List 47 2.2.5 Identifying List Elements Matching a Pattern: Position[] 49 2.3 Creating Matrices 51 2.3.1 Introduction 51 2.3.2 Matrix Generation Using Table[] 54 2.3.3 Accessing Elements of Arrays 55 2.4 Matrix Operations on Vectors and Arrays 56 2.4.1 Introduction 56 2.4.2 Matrix Inverse and Determinant: Inverse[] and Det[] 57 2.5 Solution of a Linear System of Equations: LinearSolve[] 58 2.6 Eigenvalues and Eigenvectors: EigenSystem[] 59 2.7 Functions Introduced in Chapter 2 61 References 61 Exercises 61 3 User-Created Functions, Repetitive Operations, and Conditionals 69 3.1 Introduction 69 3.2 Expressions and Procedures as Functions 69 3.2.1 Introduction 69 3.2.2 Pure Function: Function[] 74 3.2.3 Module[] 78 3.3 Find Elements of a List that Meet a Criterion: Select[] 80 3.4 Conditionals 82 3.4.1 If[] 82 3.4.2 Which[] 83 3.5 Repetitive Operations 83 3.5.1 Do[] 83 3.5.2 While[] 83 3.5.3 Nest[] 84 3.5.4 Map[] 84 3.6 Examples of Repetitive Operations and Conditionals 85 3.7 Functions Introduced in Chapter 3 92 Exercises 92 4 Symbolic Operations 95 4.1 Introduction 95 4.2 Assumption Options 101 4.3 Solutions of Equations: Solve[] 101 4.4 Limits: Limit[] 105 4.5 Power Series: Series[], Coefficient[], and CoefficientList[] 108 4.6 Optimization: Maximize[]/Minimize[] 112 4.7 Differentiation: D[] 114 4.8 Integration: Integrate[] 120 4.9 Solutions of Ordinary Differential Equations: DSolve[] 126 4.10 Solutions of Partial Differential Equations: DSolve[] 136 4.11 Laplace Transform: LaplaceTransform[] and InverseLaplaceTransform[] 138 4.12 Functions Introduced in Chapter 4 145 References 145 Exercises 146 5 Numerical Evaluations of Equations 151 5.1 Introduction 151 5.2 Numerical Integration: NIntegrate[] 151 5.3 Numerical Solutions of Differential Equations: NDSolveValue[] and ParametricNDSolveValue[] 154 5.4 Numerical Solutions of Equations: NSolve[] 178 5.5 Roots of Transcendental Equations: FindRoot[] 180 5.6 Minimum and Maximum: FindMinimum[] and FindMaximum[] 182 5.7 Fitting of Data: Interpolation[] and FindFit[] 186 5.8 Discrete Fourier Transforms and Correlation: Fourier[], InverseFourier[], and ListCorrelate[] 189 5.9 Functions Introduced in Chapter 5 194 References 195 Exercises 196 6 Graphics 209 6.1 Introduction 209 6.2 2D Graphics 209 6.2.1 Basic Plotting 209 6.2.2 Basic Graph Enhancements 213 6.2.3 Common 2D Shapes: Graphics[] 217 6.2.4 Additional Graph Enhancements 222 6.2.5 Combining Figures: Show[] and GraphicsGrid[] 238 6.2.6 Tooltip[] 241 6.2.7 Exporting Graphics 244 6.3 3D Graphics 244 6.4 Summary of Functions Introduced in Chapter 6 253 References 254 Exercises 254 7 Interactive Graphics 263 7.1 Interactive Graphics: Manipulate[] 263 References 287 Exercises 287 Part 2 Engineering Applications 8 Vibrations of Spring Mass Systems and Thin Beams 293 8.1 Introduction 293 8.2 Single Degree-of-Freedom Systems 294 8.2.1 Periodic Force on a Single Degree-of-Freedom System 294 8.2.2 Squeeze Film Damping and Viscous Fluid Damping 298 8.2.3 Electrostatic Attraction 302 8.2.4 Single Degree-of-Freedom System Energy Harvester 304 8.3 Two Degrees-of-Freedom Systems 307 8.3.1 Governing Equations 307 8.3.2 Response to Harmonic Excitation: Amplitude Response Functions 307 8.3.3 Enhanced Energy Harvester 310 8.4 Thin Beams 315 8.4.1 Natural Frequencies and Mode Shapes of a Cantilever Beam with In-Span Attachments 315 8.4.2 Effects of Electrostatic Force on the Natural Frequency and Stability of a Beam 318 8.4.3 Response of a Cantilever Beam with an In-Span Attachment to an Impulse Force 323 References 326 9 Statistics 327 9.1 Descriptive Statistics 327 9.1.1 Introduction 327 9.1.2 Location Statistics: Mean[], StandardDeviation[], and Quartile[] 327 9.1.3 Continuous Distribution Functions: PDF[] and CDF[] 329 9.1.4 Histograms and Probability Plots: Histogram[] and ProbabilityScalePlot [] 331 9.1.5 Whisker Plot: BoxWhiskerChart[] 332 9.1.6 Creating Data with Specified Distributions: RandomVariate[] 334 9.2 Probability of Continuous Random Variables 334 9.2.1 Probability for Different Distributions: NProbability[] 334 9.2.2 Inverse Cumulative Distribution Function: InverseCDF[] 337 9.2.3 Distribution Parameter Estimation: EstimatedDistribution[] and FindDistributionParameters[] 337 9.2.4 Confidence Intervals: CI[] 340 9.2.5 Hypothesis Testing: LocationTest[] and VarianceTest[] 342 9.3 Regression Analysis: LinearModelFit[] 343 9.3.1 Simple Linear Regression 343 9.3.2 Multiple Linear Regression 347 9.4 Nonlinear Regression Analysis: NonLinearModelFit[] 351 9.5 Analysis of Variance (ANOVA) and Factorial Designs: ANOVA[] 354 9.6 Functions Introduced in Chapter 9 358 10 Control Systems and Signal Processing 359 10.1 Introduction 359 10.2 Model Generation: State-Space and Transfer Function Representation 359 10.2.1 Introduction 359 10.2.2 State-Space Models: StateSpaceModel[] 360 10.2.3 Transfer Function Models: TransferFunctionModel[] 362 10.3 Model Connections Closed-Loop Systems and System Response: SystemsModelFeedbackConnect[] and SystemsModelSeriesConnect[] 363 10.4 Design Methods 369 10.4.1 Root Locus: RootLocusPlot[] 369 10.4.2 Bode Plot: BodePlot[] 371 10.4.3 Nichols Plot: NicholsPlot[] 372 10.5 Signal Processing 374 10.5.1 Filter Models: ButterworthFilterModel[], EllipticFilterModel[], ... 374 10.5.2 Windows: HammingWindow[], HannWindow[], ... 381 10.5.3 Spectrum Averaging 385 10.6 Aliasing 388 10.7 Functions Introduced in Chapter 10 390 Reference 391 11 Heat Transfer and Fluid Mechanics 393 11.1 Introduction 393 11.2 Conduction Heat Transfer 394 11.2.1 One-Dimensional Transient Heat Diffusion in Solids 394 11.2.2 Heat Transfer in Concentric Spheres: Ablation of a Tumor 398 11.2.3 Heat Flow Through Fins 401 11.3 Natural Convection Along Heated Plates 405 11.4 View Factor Between Two Parallel Rectangular Surfaces 408 11.5 Internal Viscous Flow 411 11.5.1 Laminar Flow in Horizontal Cylindrical Pipes 411 11.5.2 Flow in Three Reservoirs 412 11.6 External Flow 416 11.6.1 Pressure Coefficient of a Joukowski Airfoil 416 11.6.2 Surface Profile in Nonuniform Flow in Open Channels 419 References 423 Index 425.…”

Tabla de Contenidos: “…-- 1.3 Referential transparency, purity, and the substitution model -- 1.4 Conclusion -- Summary -- 2 Getting started with functional programming in Scala -- 2.1 Introducing Scala the language -- 2.1.1 Running our program -- 2.2 Objects and namespaces -- 2.3 Higher-order functions: Passing functions to functions -- 2.3.1 A short detour: Writing loops functionally -- 2.3.2 Writing our first higher-order function -- 2.4 Polymorphic functions: Abstracting over types -- 2.4.1 An example of a polymorphic function -- 2.4.2 Calling higher-order functions with anonymous functions -- 2.5 Following types to implementations -- 2.6 Conclusion -- Summary -- 2.7 Exercise answers -- 3 Functional data structures -- 3.1 Defining functional data structures -- 3.2 Pattern matching -- 3.3 Data sharing in functional data structures -- 3.3.1 The efficiency of data sharing -- 3.3.2 Recursion over lists and generalizing to higher-order functions -- 3.3.3 More functions for working with lists -- 3.3.4 Loss of efficiency when assembling list functions from simpler components -- 3.4 Trees -- 3.5 Conclusion -- Summary -- 3.6 Exercise answers…”

Tabla de Contenidos: “…2 Sociobiology -- 3 Prior DNA Nanorobots -- 3.1 Prior DNA Walkers -- 3.2 Prior Programmable DNA Nanorobots -- 3.3 Prior Autonomous DNA Walkers that Do Molecular Cargo-Sorting on a 2D Nanostructure -- 4 Design and Simulation of Social DNA Nanorobots -- 4.1 Social DNA Nanorobot Behaviors Designed and Simulated -- 4.2 Software for Stochastic Simulations of the Social DNA Nanorobots Behaviors -- 4.3 A Prior DNA Nanorobot that Autonomously Walks -- 4.4 Prior Demonstrated Technique for Hybridization Inhibition of Short Sequences Within the Hairpin Loops -- 4.5 A Novel DNA Nanorobot that Executes a Self-Avoiding Walk -- 4.6 Flocking: Novel DNA Nanorobots that Follow a Leader -- 4.7 Novel DNA Nanorobots that Vote by Assassination -- 5 Discussion -- 5.1 Further Development of Simulation Software for Social Nanorobots -- 5.2 Experimental Demonstrations of Social DNA Nanorobots -- 5.3 Further Social DNA Nanorobot Behaviors -- 5.4 Communication Between Distant Social Nanorobots -- References -- Models of Gellular Automata -- 1 Introduction: Why Cellular Automata? …”

“…These papers describe projects where topics of artificial intelligence, modeling and simulation process, target tracking algorithms, kinematic constraints of the closed loops, non-linear control, are used in advanced and recent research…”

“…It covers core Python programming concepts like structuring a project, the Python type system, functional and object-oriented programming, loops and iterators, generators and comprehensions, concurrency, distribution, and other essentials"--…”

“…These can broadly be defined as open loop (where a fixed intensity is maintained until task disengagement), or closed loop (where a fixed distance is completed in the fastest time), which may involve whole-body or single-limb exercise. …”

“…What You Will Learn Play with mathematical operations using C Use logical operations and loops to play with LEDs and the Arduino board Create custom functions using C and connect an SD card to the Arduino Use Object-oriented Programming to connect a GSM module to the Arduino board Play with an LCD board and Servo using standard Arduino libraries Build projects using Arduino such as a LED cube, a smart weather system, and home security Identify and fix common errors on an Arduino board In Detail This book will start with the fundamentals of C programming and programming topics, such data types, functions, decision making, program loops, pointers, and structures, with the help of an Arduino board. …”

“…The course covers conditional statements, loops, functions, and practical projects, providing hands-on experience. …”

“…As you advance, the course delves into conditional executions and loops, essential for controlling program flow. Detailed lessons on 'if' conditions, switch cases, and loops (for, while) ensure you have a robust grasp of these concepts. …”

“…Tap into feedback loops to unravel market trends and discover profitable trading opportunities The Janus Factor presents an innovative theory that describes how feedback loops determine market behavior. …”