Tabla de Contenidos: “…3.3.2 Composition and Mechanical Behavior of Spongy Bone -- 3.4 Teeth -- 3.4.1 Tooth Anatomy and Evolution -- 3.4.2 Plaque, Organic Acids, Alter pH and Demineralize Tooth Surfaces -- 3.4.3 Dentin Exposure Through the Gum-line: Periodontal Disease -- 3.4.4 Tooth Statics and Dynamics: The Origins of Orthodontia -- 3.4.5 Endodonics: Resolving the Dying Internal Structure of a Tooth -- 3.4.6 Sealants as a Preventive Procedure to Fight Tooth Decay -- 3.4.7 Oral Surgery, Bone Implants, and Fracture Fixation -- 3.5 Conclusions -- 3.6 Problems -- References -- 4 Connective and Soft Tissues -- 4.1 Introduction -- 4.2 Protein Structure and Composition in the Circulatory System -- 4.3 Protein Structure of Valvular Tissue and Leaflets -- 4.3.1 Valve and Leaflet Defects -- 4.3.2 Aneurysms and Fistulae -- 4.3.3 Aortic Dissection -- 4.4 Dermal Tissues, Including Hair and Nerves -- 4.4.1 The Skin -- 4.4.2 The Subcutaneous or Adipose Tissues -- 4.4.3 The Dermis -- 4.4.4 The Stratum Corneum and Epidermis -- 4.4.5 Skin Care as a Business -- 4.5 Hair -- 4.5.1 Hair Morphology -- 4.5.2 Features and Attributes of Hair -- 4.5.3 Hair as a Business -- 4.6 Nails -- 4.7 Muscle Tissues -- 4.8 Looking Ahead -- 4.9 Conclusions -- 4.10 Problems -- References -- 5 Property Assessments of Tissues -- 5.1 Introduction -- 5.2 Mechanical Properties -- 5.2.1 Uniaxial Extension and Compression -- 5.3 How Much Does the Humerus Bone Length Shrink Upon Loading With the Bar? …”

Tabla de Contenidos: “…24.9 Decibels -- 25 - Image and Video Compression Fundamentals -- 25.1 Baseline JPEG -- 25.2 DC Scaling -- 25.3 Quantization Tables -- 25.4 Entropy Coding -- 25.5 JPEG Extensions -- 25.6 Video Compression Basics -- 25.7 Block Size -- 25.8 Motion Estimation -- 25.9 Frame Processing Order -- 25.10 Compressing I Frames -- 25.11 Compressing P Frames -- 25.12 Compressing B Frames -- 25.13 Rate Control and Buffering -- 25.14 Quantization Scale Factor -- 26 - Introduction to Machine Learning -- 26.1 Convolutional Neural Networks -- 26.2 Convolution Layer -- 26.3 Rectified Linear Unit Layer -- 26.4 Normalization Layer -- 26.5 Max-Pooling Layer -- 26.6 Fully Connected Layer -- 26.7 Training Computational Neural Networks -- 26.8 Winograd Transform -- 26.9 Convolutional Neural Network Numerical Precision Requirements -- 27 - Implementation Using Digital Signal Processors -- 27.1 Digital Signal Processing Processor Architectural Enhancements -- 27.1.1 Data I/O Bandwidth -- 27.1.2 Core Processing -- 27.1.3 Multiple Cores or Hardware Coprocessors -- 27.2 Scalability -- 27.3 Floating Point -- 27.4 Design Methodology -- 27.5 Managing Resources -- 27.6 Ecosystem -- 28 - Implementation Using FPGAs -- 28.1 FPGA Design Methodology -- 28.2 DSP Processor or FPGA Choice -- 28.3 Design Methodology Considerations -- 28.4 Dedicated Digital Signal Processing Circuit Blocks in FPGAs -- 28.4.1 Adjustable Precision Multipliers -- 28.4.2 Accumulator -- 28.4.3 Postadder (Subtractor) and Distributed Adder -- 28.4.4 Preadder (Subtractor) -- 28.4.5 Coefficient Storage -- 28.4.6 Barrel Shifter -- 28.4.7 Rounding and Saturation -- 28.4.8 Arithmetic Logic Unit Operations and Boolean Operations -- 28.4.9 Specialty Operations -- 28.4.10 Tco and Fmax -- 28.5 Floating Point Implementation Using FPGAs -- 28.6 Ecosystem -- 28.7 Future Trends -- 29 - Implementation With GPUs…”

Tabla de Contenidos: “…8.3.8 Concentration of particles -- 8.3.9 Membrane material -- 8.4 VARIABLES AND APPLICATIONS OF THE MFI-UF -- 8.4.1 Plant profiling and water quality monitoring -- 8.4.2 Flux rate -- 8.4.3 Predicting rate of fouling of seawater RO systems -- 8.4.4 Comparing fouling indices -- 8.5 REFERENCES -- Part 3: Inorganic fouling and scaling -- Chapter 9: Inorganic Fouling: Characterization Tools and Mitigation -- 9.1 INTRODUCTION -- 9.2 MAIN COMPONENTS OF INORGANIC FOULING -- 9.2.1 Colloidal matter/particulate -- 9.2.2 Metals -- 9.2.3 Scaling -- 9.2.4 OTHER COMPONENTS -- 9.3 METHODS FOR INORGANIC FOULING IDENTIFICATION -- 9.4 METHODS FOR INORGANIC FOULING REMOVAL -- 9.5 REFERENCES -- Chapter 10: Assessing Scaling Potential with Induction Time and a Once-through Laboratory Scale RO System -- 10.1 INTRODUCTION -- 10.2 INDUCTION TIME MEASUREMENTS -- 10.2.1 Experimental setup -- 10.2.1.1 Glass reactor -- 10.2.1.3 pH meter -- 10.2.1.4 Peristaltic pump -- 10.2.1.5 Thermostat -- 10.2.2 Experimental procedure -- 10.2.2.1 Preparation of artificial brackish water -- 10.2.2.2 Induction time measurement -- 10.2.3 Calculation of induction time -- 10.2.4 Cleaning of the reactor -- 10.2.5 Example of application of induction time -- 10.3 ONCE THROUGH LAB-SCALE RO SYSTEM -- 10.3.1 Experimental set-up -- 10.3.2 Experimental protocol -- 10.3.3 Example of application -- 10.4 OUTLOOK AND FINAL COMMENTS -- 10.5 REFERENCES -- Part 4: Organic fouling -- Chapter 11: Practical Considerations of Using LC-OCD for Organic Matter Analysis in Seawater -- 11.1 INTRODUCTION -- 11.2 LC-OCD ANALYSIS -- 11.2.1 Instrumentation and chromatogram integration -- 11.2.2 Effect of salinity on organic characterization and calibration -- 11.2.3 LEVEL OF DETECTION -- 11.2.4 REPRODUCIBILITY OF LC-OCD -- 11.2.5 CHARACTERISATION OF ORGANIC MIXTURES -- 11.2.6 Applications…”

Tabla de Contenidos: “…20.7 The Power Triangle -- 20.8 The Total P, Q, and S -- 20.9 Power-Factor Correction -- 20.10 Power Meters -- 20.11 Effective Resistance -- 20.12 Applications -- 20.13 Computer Analysis -- 21 Resonance -- 21.1 Introduction -- 21.2 Series Resonant Circuit -- 21.3 The Quality Factor (Q) -- 21.4 ZT Versus Frequency -- 21.5 Selectivity -- 21.6 VR, VL, and VC -- 21.7 Practical Considerations -- 21.8 Summary -- 21.9 Examples (Series Resonance) -- 21.10 Parallel Resonant Circuit -- 21.11 Selectivity Curve for Parallel Resonant Circuits -- 21.12 Effect of Ql Q1 ≥10 -- 21.13 Summary Table -- 21.14 Examples (Parallel Resonance) -- 21.15 Applications -- 21.16 Computer Analysis -- 22 Decibels, Filters, and Bode Plots -- 22.1 Introduction -- 22.2 Properties of Logarithms -- 22.3 Decibels -- 22.4 Filters -- 22.5 R-C Low-Pass Filter -- 22.6 R-C High-Pass Filter -- 22.7 Band-Pass Filters -- 22.8 Band-Stop Filters -- 22.9 Double-Tuned Filter -- 22.10 Other Filter Configurations -- 22.11 Bode Plots -- 22.12 Sketching the Bode Response -- 22.13 Low-Pass Filter with Limited Attenuation -- 22.14 High-Pass Filter with Limited Attenuation -- 22.15 Additional Properties of Bode Plots -- 22.16 Crossover Networks -- 22.17 Applications -- 22.18 Computer Analysis -- 23 Transformers -- 23.1 Introduction -- 23.2 Mutual Inductance -- 23.3 The Iron-Core Transformer -- 23.4 Reflected Impedance and Power -- 23.5 Impedance Matching, Isolation, and Displacement -- 23.6 Equivalent Circuit (Iron-Core Transformer) -- 23.7 Frequency Considerations -- 23.8 Series Connection of Mutually Coupled Coils -- 23.9 Air-Core Transformer -- 23.10 Nameplate Data -- 23.11 Types of Transformers -- 23.12 Tapped and Multiple-Load Transformers -- 23.13 Networks with Magnetically Coupled Coils -- 23.14 Current Transformers -- 23.15 Applications -- 23.16 Computer Analysis -- 24 Polyphase Systems…”