Tabla de Contenidos: “…Alemania hacia las NIIF -- 4.4. Arabia Saudita: una visión de pensamiento contable -- 4.4.1. …”

Tabla de Contenidos: “…Simple Organic Molecules May Have Formed Abiotically in the Young Earth -- RNA May Have Been the First Informational Molecule -- Liposomes May Have Defined the First Primitive Protocells -- 4.2 Basic Properties of Cells -- The Three Domains of Life Are Bacteria, Archaea, and Eukaryotes -- There Are Several Limitations on Cell Size -- Bacteria, Archaea, and Eukaryotes Differ from Each Other in Many Ways -- 4.3 The Eukaryotic Cell in Overview: Structure and Function -- The Plasma Membrane Defines Cell Boundaries and Retains Contents -- The Nucleus Is the Information Center of the Eukaryotic Cell -- Mitochondria and Chloroplasts Provide Energy for the Cell -- The Endosymbiont Theory Proposes That Mitochondria and Chloroplasts Were Derived from Bacteria -- The Endomembrane System Synthesizes Proteins for a Variety of Cellular Destinations -- Other Organelles Also Have Specific Functions -- Ribosomes Synthesize Proteins in the Cytoplasm -- The Cytoskeleton Provides Structure to the Cytoplasm -- The Extracellular Matrix and Cell Walls Are Outside the Plasma Membrane -- 4.4 Viruses, Viroids, and Prions: Agents That Invade Cells -- A Virus Consists of a DNA or RNA Core Surrounded by a Protein Coat -- Viroids Are Small, Circular RNA Molecules That Can Cause Plant Diseases -- Prions Are Infectious Protein Molecules -- Summary of Key Points -- Problem Set -- Human Connections: When Cellular "Breakdown" Breaks Down -- Key Technique: Using Centrifugation to Isolate Organelles -- Chapter 5. …”

Tabla de Contenidos: “…-- 1.1.2 Open-Source Intelligence (OSINT) and Social Engineering -- 1.2 Impact of Social Engineering -- 1.2.1 Financial Losses -- 1.2.2 Loss of Productivity -- 1.2.3 Cyberattacks Cause Business Disruption -- 1.2.4 Loss of Reputation -- 1.3 Types of Social Engineering Attacks -- 1.3.1 Phishing Attacks -- 1.3.2 What Attributes Make Some People More Susceptible to Phishing Attacks than Others -- 1.3.3 Identification of a Social Engineering Attack -- 1.4 Use of AI in Social Engineering Attacks -- 1.4.1 Most Infamous Cases of Social Engineering -- 1.5 Conclusion -- Chapter 2 Social Engineering -- 2.1 Introduction -- 2.2 Related Work -- 2.3 Methodology -- 2.3.1 Reconnaissance -- 2.3.2 Planning -- 2.3.3 Building Trust -- 2.3.4 Exploitation -- 2.3.5 Exit/Escape -- 2.4 Discussion -- 2.5 Conclusion -- Chapter 3 Cybersecurity Risks, Vulnerabilities, and Countermeasures to Prevent Social Engineering Attacks -- 3.1 Introduction -- 3.2 Social Engineering and Its Role in Cyber-Theft -- 3.2.1 The Role of Social Engineering in Cyber-Theft -- 3.3 Vulnerabilities -- 3.3.1 Risks and Challenges -- 3.4 Current Cybersecurity Risks -- 3.4.1 Cybersecurity Challenges -- 3.4.2 Mitigating the Threat of Social Engineering -- 3.5 Conclusion -- Chapter 4 A Case Study on Packet Sniffers: Tools, Techniques, and Tactics -- 4.1 Introduction -- 4.2 Objective -- 4.3 Sniffing in a Wireless Network -- 4.4 Types of Sniffing Methods -- 4.4.1 Sniffing Can Be Done in Two Ways -- 4.5 Sniffing Uses -- 4.5.1 Ethical Uses -- 4.5.2 Unethical Uses -- 4.6 Sniffing Procedure -- 4.7 Use of Sniffer Tools -- 4.7.1 Ettercap Sniffer Tool…”

Tabla de Contenidos: “…Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- Chapter 1 Introduction to Machine Learning for Analyzing Material-Microbe Interactions -- 1.1 Introduction -- References -- Chapter 2 Introduction to 2D Materials -- 2.1 Classification of 2D Materials -- 2.2 Synthesis of 2D Materials -- 2.2.1 Top-Down Methods -- 2.2.2 Bottom-Up Methods -- 2.2.3 Layer Transfer Methods -- 2.3 Functionality of 2D Materials -- 2.3.1 Mechanical Properties -- 2.3.2 Electrical Properties -- 2.3.3 Optical Properties -- 2.4 Applications of 2D Materials -- References -- Chapter 3 An Overview of Machine Learning -- 3.1 Introduction -- 3.1.1 The Processing Pipeline of an ML Task -- 3.1.2 Data Integration -- 3.1.3 Data Preparation -- 3.1.4 Model Building -- 3.1.5 Model Evaluation -- 3.2 ML Algorithms -- 3.2.1 Bias and Variance -- 3.3 Unsupervised Learning -- 3.3.1 Cluster Analysis -- 3.3.2 Principal Component Analysis (PCA) -- 3.4 Supervised Learning -- 3.4.1 Regression -- 3.4.2 Classification -- 3.4.3 Supervised Learning Variants: Self-Supervised Learning -- 3.5 Deep Learning -- 3.5.1 Convolutional Neural Networks (CNNs) -- 3.6 Recurrent Neural Networks (RNN) -- References -- Chapter 4 Discovery of 2D Materials with Machine Learning -- 4.1 Introduction: High-Throughput Screening -- 4.2 ML Approaches for 2D Materials Research -- 4.2.1 Three ML Approaches for 2D Materials Research -- 4.2.2 A Summary of the Use of Machine Learning in 2D Materials Research -- 4.3 Prediction of 2D Material Properties Using Machine Learning -- 4.4 Application Machine Learning Approaches to Discover Novel 2D Materials -- 4.4.1 Predictions of Crystal Structure -- 4.4.2 Prediction of Components -- 4.5 Machine Learning for Miscellaneous Functions -- 4.6 Assessment of Common Challenges and Their Prevention Methods -- 4.6.1 The Problems with Model Building -- 4.6.2 Usability…”

Tabla de Contenidos: “…Harm to competition -- 4.3.3. Recommendations -- 4.4. Construction notifications -- 4.4.1. Regulatory requirements -- 4.4.2. …”

Tabla de Contenidos: “…Rules of the game -- 4.3. Kelly bet -- 4.4. Simulation study -- 4.4.1. Modeling assumptions -- 4.5. …”

Tabla de Contenidos: “…3.3.4 Sturm-Liouville Differential Equation with Periodic Boundary Condition 96 -- 3.4 Eigenwave in a 1D Metallic Periodic Medium 98 -- 3.4.1 Generalized Scattering Matrix at the Interface between a 1D Metallic Periodic Medium and Uniform Medium 99 -- 3.5 Hybrid-Mode Analysis of a 1D Dielectric Grating: Fourier-Modal Approach 102 -- 3.6 Input-Output Relation of a 1D Periodic Medium of Finite Thickness 108 -- 3.7 Scattering Characteristics of a Grating Consisting of Multiple 1D Periodic Layers 111 -- 3.7.1 Building-Block Approach 111 -- 3.7.2 Scattering Analysis of 1D Diffraction Gratings 112 -- 3.8 Guiding Characteristics of Waveguides Consisting of Multiple 1D Periodic Layers 119 -- 3.8.1 Transverse Resonance Technique 119 -- 3.8.2 Dispersion Relation of a 1D Grating Waveguide 119 -- References 129 -- Further Readings 130 -- 4 Two- and Three-Dimensional Periodic Structures 131 -- 4.1 Modal Transmission-Line Approach for a 2D Periodic Metallic Medium: In-Plane Propagation 131 -- 4.1.1 Generalized Scattering Matrix at the Interface between a 1D Periodic Metallic Medium and Uniform Medium 133 -- 4.1.2 Periodic Boundary Condition on the Unit Cell along the y-axis 137 -- 4.1.3 A Simple Graphical Method 138 -- 4.1.4 Phase Relation: The Relationship among kx, ky, and ko 138 -- 4.1.5 Dispersion Relation: The Relationship between ko and kx (or ky) 143 -- 4.1.6 Brillouin Zone and Band Structure 146 -- 4.2 Modal Transmission Line Approach for a 2D Periodic Dielectric Medium: In-Plane Propagation 152 -- 4.2.1 Input-Output Relation at the Interface: Generalized Scattering Matrix Representation 156 -- 4.2.2 Brillouin Diagram and Phase Relation 158 -- 4.3 Double Fourier-Modal Approach for a 2D Dielectric Periodic Structure: Out-of-Plane Propagation 166 -- 4.3.1 Scattering Analysis of a 2D Grating: Out-of-Plane Propagation 171 -- 4.4 Three-Dimensional Periodic Structures 172 -- 4.4.1 Scattering Analysis of a 3D Periodic Structure 174 -- 4.4.2 Eigenwave Analysis of a 3D Periodic Medium 180.…”

Tabla de Contenidos: “…2.14.6 Shadow Price (Dual Price/Accounting Price) -- 2.14.7 Economic Importance of Shadow Price -- 2.15 Dual Simplex Method (DSM) -- 2.15.1 Canonical Form of an LPP -- 2.16 The Revised Simplex Method (RSM) -- 2.16.1 Type 1 -- 2.16.2 Type-II -- 2.16.3 Type-III -- Exercise Problems -- Answers to the Exercise Problems -- Review Questions -- Chapter 3: Sensitivity Analysis (or) Post-Optimal Analysis -- 3.1 Introduction -- 3.2 Change in the Objective Function Co-efficient of a Non-basic Variable -- 3.3 Change in the Objective Function Co-efficient of a Basic Variable -- 3.4 Change in the Right-hand Side of a Constraint -- 3.5 Change in the Column of a Non-basic Variable -- 3.6 Adding a New Constraint -- 3.7 Adding a New Variable -- Exercise Problems -- Answers to the Exercise Problems -- Review Questions -- Chapter 4: Transportation Problem -- 4.1 Introduction -- 4.1.1 The Transportation Problem can be Described as Follows -- 4.2 Conversion of a TP into an Equivalent LPP Form -- 4.3 Formulation of a Transportation Problem -- 4.4 Concepts of Feasibility Basicness, and Degeneracy in the Solution -- 4.4.1 Basic and Non-basic Cells -- 4.5 Methods Used to Find the Solution to a Transportation Problem -- 4.6 Description of Various Methods to Find the Initial Basic Feasible Solution -- 4.6.1 North West Corner Rule -- 4.6.2 Row Minima Method -- 4.6.3 Column Minima Method -- 4.6.4 Least Cost Method/Matrix Minima Method -- 4.6.5 Vogel's Approximation Method -- 4.6.6 Effectiveness of Various Methods -- 4.7 Stepping Stone Method/Modified Distributive Method -- 4.8 Transshipment Problems -- 4.9 Sensitivity Analysis for Transportation Problem -- 4.9.1 Change in the Objective Function Coefficient by a Non-basic Variable -- 4.9.2 Change in the Objective Function Coefficient of a Basic Variable -- 4.9.3 Increasing Both Supply Si and Demand dj by Δ -- Exercise Problems…”

Tabla de Contenidos: “…4.2 Primary Drivers, 4.2.1 Internal and External Drivers, 4.3 Secondary Drivers, 4.4 Practical Issues with Drivers, 4.4.1 Sub-Classification of Primary Drivers, 4.4.2 Avoid Pseudo-Drivers, 4.4.3 Things are rarely Black or White, 4.5 Accuracy and Precision of Primary and Secondary Drivers, 4.5.1 Accuracy, Precision and Drivers - A Pareto Perspective, 4.5.2 Cone of Uncertainty, 4.6 3-Point Estimates as a Measure of Relative Accuracy and Uncertainty, 4.7 Precision as an Expression of Appropriate or Inappropriate Exactness, 4.8 Chapter Review, References, 5 Factors, Rates, Ratios, and Estimating by Analogy, 5.1 Estimating Metrics, 5.1.1 Where to use them, 5.1.2 The Views of Others, 5.1.3 Underlying Linear Relationship, 5.2 Rates, 5.3 Factors, 5.4 Ratios, 5.5 Dealing with Multiple Rates, Factors (and Ratios), 5.5.1 Anomalous Analogies, 5.5.2 Analogies with an Additive Model, 5.5.3 Analogies with a Multiplicative Model, 5.6 Sensitivity Analysis on Factors, Rates and Ratios, 5.6.1 Choosing a Sensitivity Range Quantitatively, 5.6.2 Choosing a Sensitivity Range around a Measure of Central Tendency, 5.6.3 The Triangulation Option, 5.6.4 Choosing a Sensitivity Range around a High-end or Low-end Metric, 5.6.5 Choosing a Sensitivity Range when all else fails, 5.7 Chapter Review, References, 6 Data Normalisation - Levelling the Playing Field, 6.1 Classification of Data Sources - Primary, Secondary and Tertiary Data, 6.1.1 Primary Data, 6.1.2 Secondary Data, 6.1.3 Tertiary Data, 6.1.4 Quarantined Data, 6.2 Types of Normalisation Methods and Techniques, 6.3 Normalisation can be a Multi-Dimensional Problem, 6.3.1 Error Related, 6.3.2 Volume, Quantity or Throughput Related - Economies of Scale, 6.3.3 Scale Conversion - Fixed and Variable Factors, 6.3.4 Date or Time Related, 6.3.5 Life Cycle Related, 6.3.6 Key Groupings - Role Related, 6.3.7 Scope Related (Subjective), 6.3.8 Complexity - Judgement Related (Subjective), 6.4 The Estimator as a Time Traveller, 6.4.1 Use of Time-based Indices Now and Then, 6.4.2 Time-based Weighted Indices, 6.4.3 Time-based Chain-Linked Weighted Indices, 6.4.4 The Doubling Rule for Escalation, 6.4.5 Composite Index: Is that not just a Weighted Index by another Name? …”

Tabla de Contenidos: “…About the Editors xv -- List of Contributors xvii -- Preface xxi -- Acknowledgments xxiii -- Part I MULTI-DIMENSIONAL DIGITAL HOLOGRAPHIC TECHNIQUES -- 1 Parallel Phase-Shifting Digital Holography 3 / Yasuhiro Awatsuji -- 1.1 Chapter Overview 3 -- 1.2 Introduction 3 -- 1.3 Digital Holography and Phase-Shifting Digital Holography 4 -- 1.4 Parallel Phase-Shifting Digital Holography 6 -- 1.5 Experimental Demonstration of Parallel Phase-Shifting Digital Holography 8 -- 1.6 High-Speed Parallel Phase-Shifting Digital Holography System 12 -- 1.7 Single-Shot Femtosecond-Pulsed Parallel Phase-Shifting Digital Holography System 14 -- 1.8 Portable Parallel Phase-Shifting Digital Holography System 17 -- 1.9 Functional Extension of Parallel Phase-Shifting Digital Holography 17 -- 1.10 Prospects and Conclusion 20 -- 2 Imaging and Display of Human Size Scenes by Long Wavelength Digital Holography 25 / Massimiliano Locatelli, Eugenio Pugliese, Melania Paturzo, Vittorio Bianco, Andrea Finizio, Anna Pelagotti, Pasquale Poggi, Lisa Miccio, Riccardo Meucci and Pietro Ferraro -- 2.1 Introduction 25 -- 2.2 Digital Holography Principles 25 -- 2.3 Infrared Digital Holography 33 -- 2.4 Latest Achievements in IRDH 34 -- 2.5 Conclusion 46 -- 3 Digital Hologram Processing in On-Axis Holography 51 / Corinne Fournier, Lo<U+0082>Sic Denis, Mozhdeh Seifi and Thierry Fournel -- 3.1 Introduction 51 -- 3.2 Model of Hologram Image Formation 52 -- 3.3 DH Reconstruction Based on Back Propagation 56 -- 3.4 Hologram Reconstruction Formulated as an Inverse Problem 57 -- 3.5 Estimation of Accuracy 64 -- 3.6 Fast Processing Algorithms 65 -- 3.7 Conclusion 69 -- 4 Multi-dimensional Imaging by Compressive Digital Holography 75 / Yair Rivenson, Adrian Stern, Joseph Rosen, and Bahram Javidi -- 4.1 Introduction 75 -- 4.2 Compressive Sensing Preliminaries 76 -- 4.3 Conditions for Accurate Reconstruction of Compressive Digital Holographic Sensing 79 -- 4.4 Applications of Compressive Digital Holographic Sensing 84.…”

Tabla de Contenidos: “…3.2.4 Rehabilitation Robot for Gait Training -- 3.3 Solutions and Methods for the Rehabilitation Process -- 3.3.1 Gait Analysis -- 3.3.2 Methods Based on Deep Learning -- 3.3.3 Use of Convolutional Neural Networks -- 3.4 Proposed System -- 3.4.1 Detection of Motion and Rehabilitation Mechanism -- 3.4.2 Data Collection Using Wearable Sensors -- 3.4.3 Raspberry Pi -- 3.4.4 Pre-Processing of the Data -- 3.5 Analysis of the Data -- 3.5.1 Feature Extraction -- 3.5.2 Machine Learning Approach -- 3.5.3 Remote Rehabilitation Mode -- 3.6 Results and Discussion -- 3.7 Conclusion -- References -- 4 Smart Sensors for Activity Recognition -- 4.1 Introduction -- 4.2 Wearable Biosensors for Activity Recognition -- 4.3 Smartphones for Activity Recognition -- 4.3.1 Early Analysis Activity Recognition -- 4.3.2 Similar Approaches Activity Recognition -- 4.3.3 Multi-Sensor Approaches Activity Recognition -- 4.3.4 Fitness Systems in Activity Recognition -- 4.3.5 Human-Computer Interaction Processes in Activity Recognition -- 4.3.6 Healthcare Monitoring in Activity Recognition -- 4.4 Machine Learning Techniques -- 4.4.1 Decision Trees Algorithms for Activity Reorganization -- 4.4.2 Adaptive Boost Algorithms for Activity Reorganization -- 4.4.3 Random Forest Algorithms for Activity Reorganization -- 4.4.4 Support Vector Machine (SVM) Algorithms for Activity Reorganization -- 4.5 Other Applications -- 4.6 Limitations -- 4.6.1 Policy Implications and Recommendations -- 4.7 Discussion -- 4.8 Conclusion -- References -- 5 Use of Assistive Techniques for the Visually Impaired People -- 5.1 Introduction -- 5.2 Rehabilitation Procedure -- 5.3 Development of Applications for Visually Impaired -- 5.4 Academic Research and Development for Assisting Visually Impaired -- 5.5 Conclusion -- References -- 6 IoT-Assisted Smart Device for Blind People -- 6.1 Introduction…”

Tabla de Contenidos: “…3.2 Criminal Investigation in Germany -- 3.2.1 The Notion and Outline of Criminal Investigation -- 3.2.2 Prosecutorial Discretion -- 3.2.3 Prosecutorial Objectivity -- 3.3 Criminal Investigation in Poland -- 3.3.1 The Notion and Outline of Criminal Investigation -- 3.3.2 Prosecutorial Discretion -- 3.3.3 Prosecutorial Objectivity -- 3.4 Criminal Investigation in Italy -- 3.4.1 The Notion and Outline of Criminal Investigation -- 3.4.2 Prosecutorial Discretion -- 3.4.3 Prosecutorial Objectivity -- 3.5 Criminal Investigation in the United States of America -- 3.5.1 The Notion and Outline of Criminal Investigation -- 3.5.2 Prosecutorial Discretion -- 3.5.3 Prosecutorial Objectivity -- 3.6 Summary -- References -- Chapter 4 Powers of the Prosecutor Over Initiation of Investigation -- 4.1 General Considerations -- 4.2 Initiating Investigation in Germany -- 4.2.1 Threshold For Initiating Investigation -- 4.2.2 Procedure For Initiating Investigation -- 4.2.3 Authority Responsible For Initiating Investigation -- 4.3 Initiating Investigation in Poland -- 4.3.1 Threshold For Initiating Investigation -- 4.3.2 Procedure For Initiating Investigation -- 4.3.3 Authority Responsible For Initiating Investigation -- 4.4 Initiating Investigation in Italy -- 4.4.1 Threshold For Initiating Investigation -- 4.4.2 Procedure For Initiating Investigation -- 4.4.3 Authority Responsible For Initiating Investigation -- 4.5 Initiating Investigation in the United States of America -- 4.5.1 Threshold For Initiating Investigation -- 4.5.2 Procedure For Initiating Investigation -- 4.5.3 Authority Responsible For Initiating Investigation -- 4.6 Summary -- References -- Chapter 5 Powers of the Prosecutor Over the Conduct of Investigation -- 5.1 General Considerations -- 5.2 Conduct of Investigation in Germany -- 5.2.1 The Relationship Between Prosecutor and Police…”

Tabla de Contenidos: “…Getting IBM Tivoli License Manager up and running -- 4.1 Example scenario -- 4.2 Setting up the ITLM Administration server -- 4.2.1 IBM DB2 Server installation -- 4.2.2 IBM DB2 Fixpack 7 installation -- 4.2.3 IBM WebSphere installation -- 4.2.4 IBM WebSphere Fixpack 4 installation -- 4.2.5 ITLM Administration server installation -- 4.2.6 Creating DB2 schema for Administration server on AIX -- 4.2.7 Connecting DB2 database to Administration server on AIX -- 4.2.8 Setting up SSL configuration -- 4.2.9 Setting up event notification for Administration server -- 4.3 Setting up the ITLM Runtime server on AIX -- 4.3.1 ITLM Runtime server installation -- 4.3.2 Creating DB2 schema for Runtime server on AIX -- 4.3.3 Connecting DB2 database to Runtime server on AIX -- 4.3.4 Setting up event notification for Runtime server -- 4.3.5 Registering Runtime server to the Administration server -- 4.4 Setting up the ITLM Runtime server on Windows -- 4.4.1 IBM DB2 Server installation -- 4.4.2 IBM DB2 Fixpack 7 installation -- 4.4.3 IBM WebSphere installation -- 4.4.4 IBM WebSphere Fixpack 4 installation -- 4.4.5 ITLM Runtime Server Installation -- 4.4.6 Creating database schema for Runtime server on Windows -- 4.4.7 Setting up event notification for ITLM Runtime server -- 4.4.8 Registering Runtime server to the Administration server -- Chapter 5. …”

Tabla de Contenidos: “…Pap. Ber. P. 23919 -- ‎1.3.44. Pap. Ber. P. 23905 -- ‎1.3.45. Pap. Ber. P. 23920.…”

Tabla de Contenidos: “…Die Listendebatte 212 -- 4.4. Der Capability Approach in der Empirie . 215 -- 4.4.1. …”

Tabla de Contenidos: “…Eugen Comşa -- My Father -- Memories about Eugen Comşa -- Childhood Memories about Eugen Comşa -- Remembering about Eugen Comşa -- Short Biography of Eugen Comşa -- Selected Publications by Eugen Comşa -- Monographs -- Articles -- 1 Food Production Modes in Neolithic Anatolia and the Neolithization of the Balkans -- Bibliography -- 2 The Neolithic Site at Čatež-Sredno Polje -- 2.1 Introduction -- 2.2 The Scope of Paper -- 2.3 The Site at Čatež-Sredno Polje -- 2.4 The Stone Tools -- 2.5 The Ceramics -- 2.6 Considerations -- Bibliography -- 3 Building and Burning: The Construction and Combustion of Chalcolithic Dwellings in the Lower Danub -- 3.1 Introduction: The Problem -- 3.2 The Diversity of Prehistoric Architecture -- 3.3 The Building Process -- 3.3.1 Foundation Trenches -- 3.3.2 Walls' Wooden Structure -- 3.3.3 Wattle and Daub -- 3.3.4 Water and Construction -- 3.3.5 Wooden Platform -- 3.3.6 Ceiling and Roof -- 3.3.7 Walls' Finishing -- 3.3.8 Ovens -- 3.4 The Burning Process -- 3.5 Burning the House: A Reverse Process of Construction -- 3.6 Conclusion: The Importance of the Experimental Approach -- Acknowledgments -- Bibliography -- 4 Tărtăria Tablets: The Latest Evidence in an Archaeological Thriller -- 4.1 The Background: The Script-Like Signs Found at Turdaş and Vinča, Troy and Knossos -- 4.2 Tărtăria Tablets as the Icon on the Possibility of a European Neolithic Writing -- 4.3 A Pivotal but Questionable Discovery -- 4.3.1 Four Stages for an Investigation -- 4.4 A Magic-Religious Complex Discovered and Lost -- 4.5 Why the Tărtăria Tablets are Dubiously Dated Archaeological Artifacts -- 4.5.1 The Gossip about Radiocarbon Dating -- 4.5.2 The Vague Stratigraphy of the Tablets Inside the Pit…”

Tabla de Contenidos: “…Sci. 2017, 7, 499, doi: 10.3390/app7050499 -- Takuya Otani, Kenji Hashimoto, Shunsuke Miyamae, Hiroki Ueta, Akira Natsuhara, Masanori Sakaguchi, Yasuo Kawakami, Hum-Ok Lim and Atsuo Takanishi Upper-Body Control and Mechanism of Humanoids to Compensate for Angular Momentum in the Yaw Direction Based on Human Running Reprinted from: Appl. Sci. 2018, 8, 44, doi: 10.3390/app8010044 -- Yinquan Zeng, Junmin Li, Simon X. …”

Tabla de Contenidos: “…3.2 Chapter Contributions -- 3.3 Related Work -- 3.4 IoT Information Security -- 3.4.1 Background -- 3.4.2 System Model -- 3.5 Zero-Determinant Strategies -- 3.6 Game-Theoretic Transmission Strategy -- 3.6.1 Transmission Probability -- 3.6.2 Transmission Strategy -- 3.7 Extension to Multiple IoT Users -- 3.7.1 Zero-Determinant Strategies -- 3.7.2 Generalized Transmission Strategy -- 3.8 Numerical Results -- 3.8.1 Model Dynamics -- 3.8.2 Simulated Use Cases -- 3.9 Discussions -- 3.9.1 About the Game-Theoretic Approach -- 3.9.2 Conclusions -- References -- Chapter 4 Policy-Driven Security Architecture for Internet of Things (IoT) Infrastructure -- 4.1 Introduction -- 4.2 Related Work -- 4.2.1 Policies and SDN -- 4.2.2 Automatic Device Provisioning -- 4.2.3 Secure Device Provisioning -- 4.2.4 Machine Learning-based Classification of Devices -- 4.2.5 IoT Security and Attacks -- 4.3 Fundamentals of Policy-Based Network and Security Management -- 4.3.1 Policy -- 4.3.2 Policy-Based Network and Security Management -- 4.3.3 Policy-Based Management Architecture -- 4.3.4 Benefits of a Policy-Based Management Architecture -- 4.4 IoT Network Scenario -- 4.4.1 Types of Devices and Device Ontology -- 4.5 Policy-Driven Security Architecture -- 4.5.1 Device Provisioning? …”

Tabla de Contenidos: “…3.4 Avogadro's Number and the Mole -- Molar Mass -- The Mole and Avogadro's Number -- Molar Mass -- Converting Between Masses, Moles, and Atoms/Molecules/Ions -- 3.5 Formula Weights and Elemental Compositions of Substances -- Molecular Formulas from Empirical Formulas -- Combustion Analysis -- 3.6 Reaction Stoichiometry -- 3.7 Limiting Reactants -- Theoretical and Percent Yields -- Chapter Summary and Key Terms -- Learning Outcomes -- Key Equations -- Exercises -- Additional Exercises -- Integrative Exercises -- Design an Experiment -- Strategies for Success Problem Solving -- Chemistry and Life Glucose Monitoring -- Strategies for Success Design an Experiment -- Chapter 4: Reactions in Aqueous Solution -- 4.1 General Properties of Aqueous Solutions -- Electrolytes and Nonelectrolytes -- How Compounds Dissolve in Water -- Strong and Weak Electrolytes -- 4.2 Precipitation Reactions -- Solubility Guidelines for Ionic Compounds -- Exchange (Metathesis) Reactions -- Ionic Equations and Spectator Ions -- 4.3 Acids, Bases, and Neutralization Reactions -- Acids -- Bases -- Strong and Weak Acids and Bases -- Identifying Strong and Weak Electrolytes -- Neutralization Reactions and Salts -- Neutralization Reactions with Gas Formation -- 4.4 Oxidation-Reduction Reactions -- Oxidation and Reduction -- Oxidation Numbers -- Oxidation of Metals by Acids and Salts -- The Activity Series -- 4.5 Concentrations of Solutions -- Molarity -- Expressing the Concentration of an Electrolyte -- Interconverting Molarity, Moles, and Volume -- Dilution -- 4.6 Solution Stoichiometry and Chemical Analysis -- Titrations -- Chapter Summary and Key Terms -- Learning Outcomes -- Key Equations -- Exercises -- Additional Exercises -- Integrative Exercises -- Design an Experiment -- Chemistry Put to Work Antacids -- Strategies for Success Analyzing Chemical Reactions…”

Tabla de Contenidos: “…3.4 Avogadro's Number and the Mole -- Molar Mass -- The Mole and Avogadro's Number -- Molar Mass -- Converting Between Masses, Moles, and Atoms/Molecules/Ions -- 3.5 Formula Weights and Elemental Compositions of Substances -- Molecular Formulas from Empirical Formulas -- Combustion Analysis -- 3.6 Reaction Stoichiometry -- 3.7 Limiting Reactants -- Theoretical and Percent Yields -- Chapter Summary and Key Terms -- Learning Outcomes -- Key Equations -- Exercises -- Additional Exercises -- Integrative Exercises -- Design an Experiment -- Strategies for Success Problem Solving -- Chemistry and Life Glucose Monitoring -- Strategies for Success Design an Experiment -- Chapter 4: Reactions in Aqueous Solution -- 4.1 General Properties of Aqueous Solutions -- Electrolytes and Nonelectrolytes -- How Compounds Dissolve in Water -- Strong and Weak Electrolytes -- 4.2 Precipitation Reactions -- Solubility Guidelines for Ionic Compounds -- Exchange (Metathesis) Reactions -- Ionic Equations and Spectator Ions -- 4.3 Acids, Bases, and Neutralization Reactions -- Acids -- Bases -- Strong and Weak Acids and Bases -- Identifying Strong and Weak Electrolytes -- Neutralization Reactions and Salts -- Neutralization Reactions with Gas Formation -- 4.4 Oxidation-Reduction Reactions -- Oxidation and Reduction -- Oxidation Numbers -- Oxidation of Metals by Acids and Salts -- The Activity Series -- 4.5 Concentrations of Solutions -- Molarity -- Expressing the Concentration of an Electrolyte -- Interconverting Molarity, Moles, and Volume -- Dilution -- 4.6 Solution Stoichiometry and Chemical Analysis -- Titrations -- Chapter Summary and Key Terms -- Learning Outcomes -- Key Equations -- Exercises -- Additional Exercises -- Integrative Exercises -- Design an Experiment -- Chemistry Put to Work Antacids -- Strategies for Success Analyzing Chemical Reactions…”