Tabla de Contenidos: “…Case Study: Temperature Control Project; 9.1 Overview; 9.2 The mathematical model; 9.3 The circuit diagram; 9.4 Identification of the system…”

Tabla de Contenidos: “…Interference Functions - A Mathematical Framework for MIMO Interference Networks; 4.1. …”

Tabla de Contenidos: “…Fundamental Theory""; ""1.1 Analog and digital circuits""; ""1.2 Relay and switching circuits""; ""1.3 Logic gates""; ""1.4 Mathematical principles""; ""1.5 Specifications""; ""1.6 Integrated circuits""; ""Chapter 2. …”

Tabla de Contenidos: “…2.2.1 Geometrical mesh construction -- 2.2.2 Electrophysiological modelling -- 2.2.3 Extracellular potential measurements -- 2.2.4 Fetal ECG extraction using signal processing methods -- 2.3 Results -- 2.4 Discussion -- 2.5 Conclusions -- References -- Chapter 3 Ordinary Differential Equation-based Modeling of Cells in Human Cartilage -- 3.1 Introduction -- 3.2 Methods -- 3.2.1 Mathematical modelling of ATP-sensitive K+ currents -- 3.2.2 Population of Models -- 3.3 Results -- 3.3.1 Validation -- 3.3.2 Results for the ATP-sensitive K+ currents -- 3.3.3 Populations of Models…”

Tabla de Contenidos: “…; 5 OPEN QUESTIONS; 5.1 Questions for the Neurosciences; 5.1.1 Levels of Analysis; 5.1.2 The Use of Mathematical and Computer Models; 5.1.3 Evidence from Invertebrates; 5.2 Inspiration for Other Sciences - 'Cognitive Systems'…”

Tabla de Contenidos: “…Segura Electrochemistry-High Resolution Mass Spectrometry to Study Oxidation Products of Trimethoprim Reprinted from: Environments 2018, 5, 18, doi: 10.3390/environments5010018 . 4 -- Xinbo Tian and Antoine Trzcinski Effects of Physico-Chemical Post-Treatments on the Semi-Continuous Anaerobic Digestion of Sewage Sludge Reprinted from: Environments 2017, 4, 49, doi: 10.3390/environments4030049 . 22 -- Martin Pip ́ıˇska, Martin Valica, Denisa Partelov ́a, Miroslav Horn ́ık, Juraj Lesny and ́ Stanislav Hostin Removal of Synthetic Dyes by Dried Biomass of Freshwater Moss Vesicularia Dubyana: A Batch Biosorption Study Reprinted from: Environments 2018, 5, 10, doi: 10.3390/environments5010010 . 34 -- Pedro Cisterna Biological Treatment by Active Sludge with High Biomass Concentration at Laboratory Scale for Mixed Inflow of Sunflower Oil and Saccharose Reprinted from: Environments 2017, 4, 69, doi: 10.3390/environments4040069 . 46 -- Milan Gomboˇs, Andrej Tall, Branislav Kandra, Lucia Balejˇc ́ıkov ́a and Dana Pavelkov ́a Geometric Factor as the Characteristics of the Three-Dimensional Process of Volume Changes of Heavy Soils Reprinted from: Environments 2018, 5, 45, doi: 10.3390/environments5040045 . 59 -- Natalia Junakova, Magdalena Balintova, Roman Vodiˇcka and Jozef Junak Prediction of Reservoir Sediment Quality Based on Erosion Processes in Watershed Using Mathematical Modelling Reprinted from: Environments 2018, 5, 6, doi: 10.3390/environments5010006 69 -- Simona Jursov ́a, Dorota Burchart-Korol, Pavl ́ına Pustˇejovsk ́a, Jerzy Korol and Agata Blaut Greenhouse Gas Emission Assessment from Electricity Production in the Czech Republic Reprinted from: Environments 2018, 5, 17, doi: 10.3390/environments5010017 . 81 -- Martina Zele ˇn ́akov ́a, Rastislav Fijko, Daniel Constantin Diaconu and Iveta Reme ˇn ́akov ́a Environmental Impact of Small Hydro Power Plant-A Case Study Reprinted from: Environments 2018, 5, 12, doi: 10.3390/environments5010012 . 91 -- Vlasta Ondrejka Harbulakova, Martina Zelenakova, Pavol Purcz and Adrian Olejnik Selection of the Best Alternative of Heating System by Environmental Impact Assessment-Case Study Reprinted from: Environments 2018, 5, 19, doi: 10.3390/environments5020019 . 101 -- Wen-Tien Tsai Overview of Green Building Material (GBM) Policies and Guidelines with Relevance to Indoor Air Quality Management in Taiwan Reprinted from: Environments 2018, 5, 4, doi: 10.3390/environments5010004 117 -- Magdalena Penkała, Paweł Ogrodnik and Wioletta Rogula-Kozłowska Particulate Matter from the Road Surface Abrasion as a Problem of Non-Exhaust Emission Control Reprinted from: Environments 2018, 5, 9, doi: 10.3390/environments5010009 127 -- Marek Kov ́aˇc and Alena Siˇc ́akov ́a Pervious Concrete as an Environmental Solution for Pavements: Focus on Key Properties Reprinted from: Environments 2018, 5, 11, doi: 10.3390/environments5010011 . 140.…”

Tabla de Contenidos: “…10.1 Introduction to Pre-Integrated Volume Rendering10.2 Pre-Integrated Volume Rendering Algorithms; 10.3 Accelerated Pre-Integration; 10.4 Pre-Integrated Rendering Techniques; 10.5 Open Problems; 11 Hardware-Accelerated Volume Rendering; 11.1 Introduction; 11.2 Volume Rendering Basics; 11.3 The Volume Rendering Pipeline; 11.4 Advanced Techniques; 11.5 Ray-Casting; 11.6 Texture Slicing; 11.7 Shear-Warp Rendering; 11.8 Splatting; 11.9 Conclusions; PART IVVector Field Visualization; 12 Overview of Flow Visualization; 12.1 Introduction; 12.2 Mathematical Description of a Vector Field…”

Tabla de Contenidos: “…Lead in Paint -- Physicochemical and Environmental Considerations -- General Characteristics of Exposure -- Scope of the Problem -- Lead in Air -- Physicochemical and Environmental Considerations -- General Characteristics of Exposure -- Scope of the Problem -- Lead in Dust and Soil -- Physicochemical and Environmental Considerations -- General Characteristics of Exposure -- Scope of the Problem -- Lead in Drinking Water -- Physicochemical and Environmental Considerations -- General Characteristics of Exposure -- Scope of the Problem -- Lead in the Diet -- Physicochemical and Environmental Considerations -- Characteristics of General Exposure -- Scope of the Problem -- SUMMARY -- 4 Biologic Markers of Lead Toxicity -- BIOLOGIC MARKERS OF EXPOSURE -- Lead Absorption -- Lead Distribution -- Lead Retention and Excretion -- Interactions of Lead with Nutrients -- Mathematical Models -- Linear Models -- Nonlinear Models -- Biologic Monitoring -- Whole Blood -- Plasma -- Teeth -- Bone -- Milk -- Placenta -- Chelatable and Urinary Lead -- BIOLOGIC MARKERS OF EFFECT -- Markers Based on Disturbance of Heme Synthesis -- Markers of Other Biologic Systems -- Relevance of Current Markers of Effect for Low-Dose Exposures -- Potential Markers of Effect -- Enzyme Systems -- Lead-Binding Proteins -- Metabolites -- Identification of Toxicity Mechanisms -- Inhibition of 1,25-Dihydroxyvitamin D Formation -- Impairment of Heme Synthesis -- BIOLOGIC MARKERS OF SUSCEPTIBILITY -- SUMMARY -- 5 Methods for Assessing Exposure to Lead -- INTRODUCTION -- SAMPLING AND SAMPLE HANDLING -- MEASUREMENT OF LEAD IN SPECIFIC TISSUES -- Whole Blood -- Plasma -- Urine -- Teeth -- Milk -- Placenta -- MASS SPECTROMETRY -- Isotope-Dilution Mass Spectrometry -- Lead Isotopic Composition in the Identification of Lead Sources -- Stable Lead Isotopic Tracers in Metabolic Studies…”

Tabla de Contenidos: “…Turnbull,Jean Ann Summers ; Teaching Reading and Literacy Skills to Students with Intellectual Disability / Susan Copeland, Elizabeth B. Keefe ; Teaching Mathematics and Science to Students with Intellectual Disability / Alicia F. …”

Tabla de Contenidos: “…Cover -- Half Title -- Title -- Copyright -- Dedication -- Contents -- Preface -- List Of Figures -- List Of Tables -- List Of Listings -- Chapter 1 Basic Concepts Of Recursive Programming -- 1.1 Recognizing Recursion -- 1.2 Problem Decomposition -- 1.3 Recursive Code -- 1.4 Induction -- 1.4.1 Mathematical Proofs By Induction -- 1.4.2 Recursive Leap Of Faith -- 1.4.3 Imperative Vs. …”

Tabla de Contenidos: “…Identifying location entities -- Classifying text -- Word2Vec and Doc2Vec -- Classifying text by labels -- Classifying text by similarity -- Understanding tagging and POS -- Using OpenNLP to identify POS -- Understanding POS tags -- Extracting relationships from sentences -- Using OpenNLP to extract relationships -- Sentiment analysis -- Downloading and extracting the Word2Vec model -- Building our model and classifying text -- Summary -- Chapter 10: Visual and Audio Analysis -- Text-to-speech -- Using FreeTTS -- Getting information about voices -- Gathering voice information -- Understanding speech recognition -- Using CMUPhinx to convert speech to text -- Obtaining more detail about the words -- Extracting text from an image -- Using Tess4j to extract text -- Identifying faces -- Using OpenCV to detect faces -- Classifying visual data -- Creating a Neuroph Studio project for classifying visual images -- Training the model -- Summary -- Chapter 11: Mathematical and Parallel Techniques for Data Analysis -- Implementing basic matrix operations -- Using GPUs with DeepLearning4j -- Using map-reduce -- Using Apache's Hadoop to perform map-reduce -- Writing the map method -- Writing the reduce method -- Creating and executing a new Hadoop job -- Various mathematical libraries -- Using the jblas API -- Using the Apache Commons math API -- Using the ND4J API -- Using OpenCL -- Using Aparapi -- Creating an Aparapi application -- Using Aparapi for matrix multiplication -- Using Java 8 streams -- Understanding Java 8 lambda expressions and streams -- Using Java 8 to perform matrix multiplication -- Using Java 8 to perform map-reduce -- Summary -- Chapter 12: Bringing It All Together -- Defining the purpose and scope of our application -- Understanding the application's architecture -- Data acquisition using Twitter -- Understanding the TweetHandler class…”

Tabla de Contenidos: “…5.7 Implementing Time Synchronization in the CR-IoV -- 5.7.1 Mathematical Model -- 5.7.2 Simulation -- 5.7.3 Experimentation -- 5.7.4 Mathematical Analysis -- 5.8 Summary -- References -- 6 Data Science Applications, Approaches, and Challenges in Cognitive Radio-Based IoV Systems -- 6.1 Introduction -- 6.2 Data Science -- 6.3 Data Science Approaches and Applications in the CR-IoV -- 6.3.1 Data Science Approaches -- 6.3.2 Applications of the CR-IoV -- 6.4 Challenges and Issues -- 6.4.1 Understanding of Learning -- 6.4.2 Computing Systems for Data-Intensive Applications -- 6.4.3 Incomplete Data or Data Noise -- 6.4.4 Heterogeneous Data Sources -- 6.4.5 Privacy and Data Security -- 6.4.6 Precious Data -- 6.4.7 Causal Reasoning -- 6.4.8 Trustworthy AI -- 6.5 Conclusion -- References -- Section 5 Security and Quality of Service -- 7 Security Threats and Counter Measures in the Internet of Vehicles -- 7.1 Introduction -- 7.2 Security Threats in the IoV -- 7.2.1 Attacks on Confidentiality of IoV Communication -- 7.2.2 Attacks on Integrity of IoV Communication -- 7.2.3 Attacks on Availability of IoV Communication -- 7.3 Solutions to Security Threats in the IoV -- 7.3.1 Counter Measures for Confidentiality of Information -- 7.3.2 Counter Measures on Integrity of Information -- 7.3.3 Counter Measures on Availability Attacks -- 7.4 Conclusion -- References -- 8 QoS Provisioning in CR-Based IoV -- 8.1 QoS Requirements of IoV Applications -- 8.1.1 Vehicle Platooning -- 8.1.2 Sensor and State Map Sharing -- 8.1.3 Remote Driving -- 8.1.4 Advanced Driving -- 8.2 Priority-Wise Classification of Data -- 8.2.1 Latency, Throughput, and Data Type Considerations -- 8.2.2 Priority Classes -- 8.3 Transmission Scheduling Process -- 8.4 QoS-Aware Cognitive Communication -- 8.4.1 Concept of a Hybrid NB/WB Waveform -- 8.4.2 Hybrid Cognitive Module -- 8.5 Conclusion…”

Tabla de Contenidos: “…, 1.2 Features you'll find in this book and others in this series, 1.2.1 Chapter Context, 1.2.2 The Lighter Side (humour), 1.2.3 Quotations, 1.2.4 Definitions, 1.2.5 Discussions and Explanations with a Mathematical Slant for Formula-philes, 1.2.6 Discussions and Explanations without a Mathematical Slant for Formula-phobes, 1.2.7 Caveat Augur, 1.2.8 Worked Examples, 1.2.9 Useful Microsoft Excel Functions and Facilities, 1.2.10 References to Authoritative Sources, 1.2.11 Chapter Reviews, 1.3 Overview of Chapters in this Volume, 1.4 Elsewhere in the 'Working Guide to Estimating & Forecasting' Series, 1.4.1 Volume I: Principles, Process and Practice of Professional Number Juggling, 1.4.2 Volume II: Probability, Statistics and other Frightening Stuff, 1.4.3 Volume III: Best Fit Lines & Curves, and some Mathe-Magical Transformations, 1.4.4 Volume IV: Learning, Unlearning and Re-Learning Curves, 1.4.5 Volume V: Risk, Opportunity, Uncertainty and Other Random Models, 1.5 Final Thoughts and Musings on this Volume and Series, References, , 2 Quantity-based Learning Curves, 2.1 A Brief History of the Learning Curve as a Formal Relationship, 2.2 Two Basic Learning Curve Models (Wright and Crawford), 2.2.1 Wright Cumulative Average Learning Curve, 2.2.2 Crawford Unit Learning Curve, 2.2.3 Wright and Crawford Learning Curves Compared, 2.2.4 What's So Special about the Doubling Rule?…”

“…A practical guide to deploying mathematical and statistical models when performing analytics The Heuristics in Analytics describes analytic processes and how they fit into the heuristic world around us. …”

“…The book is ideally suited for courses in economic dynamics, macroeconomic modelling and computational economics, as well as for students of finance, mathematics and engineering who are interested in economic models"--…”

Tabla de Contenidos: “…-- Preface xxi / /Acknowledgments xxv / /Summary of Notations xxvii / /About the Cover xxix / /About the Companion Website xxxi / /1 Mathematical Background and Analysis Techniques 1 / /1.1 Introduction 1 / /1.2 The Fourier Transform and Fourier Series 5 / /1.3 Pulse Distortion with Ideal Filter Models 16 / /1.4 Correlation Processing 19 / /1.5 Random Variables and Probability 20 / /1.6 Random Processes 41 / /1.7 The Matched Filter 44 / /1.8 The Likelihood and Log-Likelihood Ratios 46 / /1.9 Parameter Estimation 47 / /1.10 Modem Configurations and Automatic Repeat Request 55 / /1.11 Windows 57 / /1.12 Matrices Vectors and Related Operations 66 / /1.13 Often Used Mathematical Procedures 70 / /1.14 Often Used Mathematical Relationships 71 / /2 Digital Signal Processing and Modem Design Considerations 81 / /2.1 Introduction 81 / /2.2 Discrete Amplitude Sampling 81 / /2.3 Discrete-Time Sampling 87 / /2.4 Signal Reconstruction Following Discrete-Time Sampling 91 / /2.5 Baseband Sampling 92 / /2.6 Bandpass Sampling 92 / /2.7 Corrections for Nonideal Modulators and Demodulators 99 / /2.8 Multirate Signal Processing and Interpolation 106 / /Appendix 2A Amplitude Quantization Function Subprogram 121 / /Appendix 2B Hilbert Transform Parameters 122 / /Appendix 2C Derivation of Parabolic Interpolation Error 126 / /3 Digital Communications 133 / /3.1 Introduction 133 / /3.2 Digital Data Modulation and Optimum Demodulation Criteria 135 / /3.3 Information and Channel Capacity 139 / /3.4 Bit-Error Probability Bound on Memoryless Channel 148 / /3.5 Probability Integral and the Error Function 150 / /4 Phase Shift Keying (PSK) Modulation Demodulation and Performance 153 / /4.1 Introduction 153 / /4.2 Constant Envelope Phase-Modulated Waveforms 154 / /4.3 Non-Constant Envelope Phase-Modulated Waveforms 175 / /4.4 Phase-Modulated Waveform Spectrums and Performance 178 / /5 Frequency Shift Keying (FSK) Modulation Demodulation and Performance 207 / /5.1 Introduction 207 / /5.2 Coherent Detection of BFSK - Known Frequency and Phase 207 / /5.3 Noncoherent Detection of BFSK - Known Frequency and Unknown Phase 210 / /5.4 Case Studies: Coherent and Noncoherent BFSK Performance Simulation 211 / /5.5 Noncoherent Detection of BFSK - Unknown Frequency and Phase 214 / /5.6 BFSK Spectral Density with Arbitrary Modulation Index 219 / /6 Amplitude Shift Keying Modulation Demodulation and Performance 227 / /6.1 Introduction 227 / /6.2 Amplitude Shift Keying (ASK) 227 / /6.3 Quadrature Amplitude Modulation (QAM) 234 / /6.4 Alternate QAM Waveform Constellations 236 / /6.5 Case Study: 16-ary QAM Performance Evaluation 236 / /6.6 Partial Response Modulation 237 / /7 M-ary Coded Modulation 251 / /7.1 Introduction 251 / /7.2 Coherent Detection of Orthogonal Coded Waveforms 252 / /7.3 Noncoherent Detection of M-ary Orthogonal Waveforms 253 / /7.4 Coherent Detection of M-ary Biorthogonal Waveforms 256 / /8 Coding for Improved Communications 261 / /8.1 Introduction 261 / /8.2 Pulse Code Modulation 261 / /8.3 Gray Coding 268 / /8.4 Differential Coding 269 / /8.5 Pseudo-Random Noise Sequences 270 / /8.6 Binary Cyclic Codes 273 / /8.7 Cyclic Redundancy Check Codes 274 / /8.8 Data Randomizing Codes 276 / /8.9 Data Interleaving 277 / /8.10 Wagner Coding and Decoding 279 / /8.11 Convolutional Codes 283 / /8.12 Turbo and Turbo-Like Codes 299 / /8.13 LDPC Code and TPC 313 / /8.14 Bose-Chaudhuri-Hocquenghem Codes 315 / /Appendix 8A 328 / /Appendix 8B 329 / /9 Forward Error Correction Coding Without Bandwidth Expansion 339 / /9.1 Introduction 339 / /9.2 Multi-h M-ary CPM 340 / /9.3 Case Study: 2-h 4-ary 1REC CPM 350 / /9.4 Multiphase Shift Keying Trellis-Coded Modulation 362 / /9.5 Case Study: Four-State 8PSK-TCM Performance Over Satellite Repeater 367 / /10 Carrier Acquisition and Tracking 375 / /10.1 Introduction 375 / /10.2 Bandpass Limiter 377 / /10.3 Baseband Phaselock Loop Implementation 378 / /10.4 Phase-Error Generation 378 / /10.5 First-Order Phaselock Loop 380 / /10.6 Second-Order Phaselock Loop 380 / /10.7 Third-Order Phaselock Loop 390 / /10.8 Optimum Phase Tracking Algorithms 396 / /10.9 Squaring Loss Evaluation 406 / /10.10 Case Study: BPSK and QPSK Phaselock Loop Performance 408 / /10.11 Case Study: BPSK Phase Tracking Performance of a Disadvantaged Transmit Terminal 410 / /11 Waveform Acquisition 413 / /11.1 Introduction 413 / /11.2 CW Preamble Segment Signal Processing 416 / /11.3 Symbol Synchronization Preamble Segment 432 / /11.4 Start-of-Message (SOM) Preamble segment 452 / /11.5 Signal-to-Noise Ratio Estimation 452 / /12 Adaptive Systems 463 / /12.1 Introduction 463 / /12.2 Optimum Filtering - Wiener's Solution 464 / /12.3 Finite Impulse Response-Adaptive Filter Estimation 465 / /12.4 Intersymbol Interference and Multipath Equalization 469 / /12.5 Interference and Noise Cancellation 472 / /12.6 Recursive Least Square (RLS) Equalizer 473 / /12.7 Case Study: LMS Linear Feedforward Equalization 474 / /12.8 Case Study: Narrowband Interference Cancellation 474 / /12.9 Case Study: Recursive Least Squares Processing 480 / /13 Spread-Spectrum Communications 485 / /13.1 Introduction 485 / /13.2 Spread-Spectrum Waveforms and Spectrums 487 / /13.3 Jammer and Interceptor Encounters 499 / /13.4 Communication Interceptors 502 / /13.5 Bit-Error Performance of DSSS Waveforms with Jamming 504 / /13.6 Performance of MFSK with Partial-Band Noise Jamming 512 / /13.7 Performance of DCMPSK with Partial-Band Noise Jamming 514 / /13.8 FHSS Waveforms with Multitone Jamming 515 / /13.9 Approximate Performance with Jammer Threats 521 / /13.10 Case Study: Terrestrial Jammer Encounter and Link-Standoff Ratio 522 / /14 Modem Testing Modeling and Simulation 531 / /14.1 Introduction 531 / /14.2 Statistical Sampling 532 / /14.3 Computer Generation of Random Variables 539 / /14.4 Baseband Waveform Description 545 / /14.5 Sampled Waveform Characterization 547 / /14.6 Case Study: BPSK Monte Carlo Simulation 548 / /14.7 System Performance Evaluation Using Quadrature Integration 550 / /14.8 Case Study: BPSK Bit-Error Evaluation with PLL Tracking 551 / /14.9 Case Study: QPSK Bit-Error Evaluation with PLL Tracking 553 / /15 Communication Range Equation and Link Analysis 557 / /15.1 Introduction 557 / /15.2 Receiver and System Noise Figures and Temperatures 560 / /15.3 Antenna Gain and Patterns 568 / /15.4 Rain Loss 571 / /15.5 Electric Field Wave Polarization 573 / /15.6 Phase-Noise Loss 578 / /15.7 Scintillation Loss 583 / /15.8 Multipath Loss 583 / /15.9 Interface Mismatch Loss 584 / /15.10 Miscellaneous System Losses 585 / /15.11 Nonlinear Power Amplifier Analysis and Simulation 585 / /15.12 Computer Modeling of TWTA and SSPA Nonlinearities 588 / /15.13 Establishing Signal Levels for Simulation Modeling 590 / /15.14 Case Study: Performance Simulation of SRRC-QPSK with SSPA Nonlinearity 592 / /15.15 Link Budget Analysis 596 / /16 Satellite Orbits 603 / /16.1 Introduction 603 / /16.2 Satellite Orbits 606 / /16.3 Earth Stations 607 / /16.4 Path Loss Doppler and Doppler-rate 609 / /16.5 Satellite Viewing 609 / /16.6 Satellite Orbit Selection 610 / /16.7 Satellite Orbit Position Estimation From Parameter Measurements 611 / /16.8 Case Study: Example Satellite Encounters 612 / /17 Communications Through Bandlimited Time-Invariant Linear Channels 617 / /17.1 Introduction 617 / /17.2 Inphase and Quadrature Channel Response 618 / /17.3 Inphase and Quadrature Channel Response to Arbitrary Signal 619 / /17.4 Pulse Modulated Carrier Signal Characteristics 621 / /17.5 Channel Response to a Pulsed Modulated Waveform 622 / /17.6 Example Performance Simulations 623 / /17.7 Example of Channel Amplitude and Phase Responses 624 / /17.8 Example Channel Amplitude Phase and Delay Functions 627 / /18 Communications in Fading Environments 633 / /18.1 Introduction 633 / /18.2 Ricean Fading Channels 634 / /18.3 Ricean Cumulative Distribution 635 / /18.4 Application of Ricean Channel Model 635 / /18.5 Performance of Several Binary Modulation…”

Tabla de Contenidos: “…-- 2.3.2 Naming Conventions -- 2.3.3 Examples and Exercises -- 2.4 Using Loops in R - the "for" Function -- 2.5 Integral Calculus in R -- 2.5.1 The "Integrate" Function -- 2.5.2 Numerical Integration -- 2.6 Recommended Reading -- 3 Financial Mathematics (1): Interest Rates and Valuing Cashflows -- 3.1 Introduction -- 3.2 The Force of Interest…”

“…Mechanical engineering, electrical engineering, information engineering, mechatronics, electronics, bioengineering, computer engineering, control engineering, software engineering, mathematics, and other subjects are all included in robotics. …”

Tabla de Contenidos: “…3.2.1 Model Construction and Validation3.2.2 Classification of Different Heart Failure Cases; 3.2.3 Simulation Protocol; 3.3 Results; 3.3.1 β-Adrenergic Receptor Antagonists; 3.3.2 β-Adrenergic Receptor Kinase Inhibitor; 3.3.3 Phosphodiesterase Inhibitor; 3.3.4 Combined Therapies; 3.4 Discussion; Acknowledgment; 3A.1 Appendix; 3A.1.1 Model Validation; 3A.1.2 The Mathematical Model Used for Simulations; References; 4 Rule-Based Modeling and Model Refinement; 4.1 Kappa, Briefly; 4.2 Refinement, Practically; 4.2.1 A Simple Cascade; 4.2.2 Another Cascade; 4.2.3 The SSA Convention…”

Tabla de Contenidos: “…Multiple model construction by mathematical transformation; 1.2.4. Multiple model representation using the neural approach; 1.3. …”