Tabla de Contenidos: “…17.1 THERMOFORMING -- 17.2 INJECTION MOLDING -- 17.2.1 Door Handles -- 17.2.2 The Tripartite Dashboard -- 17.2.3 Instrument Board -- 17.2.4 Radio Bezel and Gear Shift Cover -- 17.3 TACTILE EFFECTS -- 17.4 OTHER SECTOR PARTS -- 17.5 MULTI-DECO MOLDING -- 17.6 THE AUTOMATED SEQUENCE PROCESS -- Chapter 18 Smart Manufacturing -- 18.1 TRANSATLANTIC COOPERATION -- 18.2 DESIGN OF EXPERIMENT -- 18.3 CONCLUSION -- 18.4 REMOTE THERMOFORMING LINE COMMISSIONING AND REMOTE SERVICE SUPPORT -- Chapter 19 Automotive Body Parts Made of PA + ABS -- Chapter 20 Softfeel Made from ABS/TPU Material -- Chapter 21 Introduction to Packaging -- Chapter 22 Optimizing a Thermoforming Process for Packaging -- 22.1 METHOD FOR OPTIMIZING A PROCESS TO PRODUCE A THERMOFORMED ARTICLE FROM POLYMERIC MATERIAL -- 22.2 CHARACTERIZATION OF RESINS BY PERFORMANCE PARAMETERS -- 22.3 VARIABLES THAT CAN BE ALTERED TO INFLUENCE THE PLUG FORCE AND CAVITY PRESSURE -- 22.4 APPLICATION EXAMPLES -- Chapter 23 Analysis of Thermoforming Films -- 23.1 GENERAL ANALYSIS OF THERMOFORMING FILMS1 -- 23.2 TESTS MEASURING FREE SHRINKAGE -- 23.3 TESTS MEASURING THICKNESS -- 23.4 TENSILE STRENGTH TEST -- 23.5 SURFACE TEXTURE TEST FOR THE GLOSS FACTOR -- 23.6 FLAME COLORATION -- Chapter 24 Advanced Analysis of Thermoforming Films -- 24.1 PRODUCT QUALITY DEMANDS -- 24.2 DIFFERENTIAL SCANNING CALORIMETRY -- 24.3 DMA (DYNAMIC MECHANICAL ANALYSIS) -- 24.3.1 The Functional Principle -- 24.3.2 The Complex E-modulus E* in Conjunction with Temperature -- 24.4 TORSION PENDULUM TEST -- 24.5 SUMMARY -- Chapter 25 Analysis of Thermoformed Products -- 25.1 WALL THICKNESS DISTRIBUTION -- 25.1.1 Examples of Measuring Wall Thickness of Cups -- 25.2 TOP LOAD -- 25.3 VISUAL APPEARANCE -- 25.4 WATER VAPOR PERMEABILITY -- 25.5 OXYGEN PERMEABILITY -- 25.6 TRANSPARENCY…”

Tabla de Contenidos: “…Layer Based Security Enhancements Mechanisms for Positioning in 5G 296 -- 13.8.1 Reliability Monitoring and Outlier Detection Mechanisms 296.…”

Tabla de Contenidos: “…5.3.2 Full-Scale Treatments -- 5.3.3 References -- 5.4 State of art of filtration for public water supply in Brazil -- 5.4.1 Classification According to the Filtration Rate (Fast and Slow Filters) -- 5.4.2 Classification According to the Flow Direction (Upflow and Downflow) -- 5.4.2.1 Rating according to the type of treatment (conventional, direct filtration and filtration line) -- 5.4.3 Classification According to the Filter Material (Granular Bed Filters and Filter Type Precoat) -- 5.4.4 Classification According to the Hydraulic Arrangement (Gravity Filters and Pressure Filters) -- 5.4.5 Classification According to the Mechanism of Action (Action of Water Depth and Surface Action) -- 5.4.6 References -- 5.5 Development in groundwater treatment - Indian perspective -- 5.5.1 Surface and Groundwater Potential in India -- 5.5.2 Drawbacks with Surface Water -- 5.5.3 Groundwater Contamination -- 5.5.4 Methods Adopted for Water Treatment in India -- 5.5.5 Government Initiatives - in Conservation of Surface &amp -- Ground Water Resource -- 5.5.6 Research Initiative by Academic and Research Institutions -- 5.5.7 References…”

Tabla de Contenidos: “…7.4 Lindeberg's Central Limit Theorem for Martingales -- 7.5 General Abstract Testing Protocols -- 7.6 Making the Results of Part I Abstract -- 7.7 Exercises -- 7.8 Context -- Chapter 8 Zero‐One Laws -- 8.1 LÉvy's Zero‐One Law -- 8.2 Global Upper Expectation -- 8.3 Global Upper and Lower Probabilities -- 8.4 Global Expected Values and Probabilities -- 8.5 Other Zero‐One Laws -- 8.6 Exercises -- 8.7 Context -- Chapter 9 Relation to Measure‐Theoretic Probability -- 9.1 VILLE'S THEOREM -- 9.2 Measure‐Theoretic Representation of Upper Expectations -- 9.3 Embedding Game‐Theoretic Martingales in Probability Spaces -- 9.4 Exercises -- 9.5 Context -- Part III Applications in Discrete Time -- Chapter 10 Using Testing Protocols in Science and Technology -- 10.1 Signals in Open Protocols -- 10.2 Cournot's Principle -- 10.3 Daltonism -- 10.4 Least Squares -- 10.5 Parametric Statistics with Signals -- 10.6 Quantum Mechanics -- 10.7 Jeffreys's Law -- 10.8 Exercises -- 10.9 Context -- Chapter 11 Calibrating Lookbacks and p‐Values -- 11.1 Lookback Calibrators -- 11.2 Lookback Protocols -- 11.3 Lookback Compromises -- 11.4 Lookbacks in Financial Markets -- 11.5 Calibrating p‐values -- 11.6 Exercises -- 11.7 Context -- Chapter 12 Defensive Forecasting -- 12.1 Defeating Strategies for Skeptic -- 12.2 Calibrated Forecasts -- 12.3 Proving the Calibration Theorems -- 12.4 Using Calibrated Forecasts for Decision Making -- 12.5 Proving the Decision Theorems -- 12.6 From Theory to Algorithm -- 12.7 Discontinuous Strategies for Skeptic -- 12.8 Exercises -- 12.9 Context -- Part IV Game‐Theoretic Finance -- Chapter 13 Emergence of Randomness in Idealized Financial Markets -- 13.1 Capital Processes and Instant Enforcement -- 13.2 Emergence of Brownian Randomness -- 13.3 Emergence of Brownian Expectation -- 13.4 Applications of Dubins-Schwarz…”

Tabla de Contenidos: “…Paul 3.1 -- Introduction 36 -- 3.2 Objectives 36 -- 3.3 Methods 37 -- 3.4 Agricultural -- Informatics: An -- Account 37 3.5 -- Agricultural -- Informatics & -- Technological -- Components: -- Basics & -- Emergence 40 -- 3.6 IoT: Basics -- and -- Characteristics -- 41 3.7 IoT: The -- Applications & -- Agriculture Areas --43 3.8 -- Agricultural -- Informatics & IoT: -- The Scenario 45 -- 3.9 IoT in -- Agriculture: -- Requirement, -- Issues & -- Challenges 49 -- 3.10 -- Development, -- Economy and -- Growth: -- Agricultural -- Informatics -- Context 50 3.11 -- Academic -- Availability and -- Potentiality of IoT -- in Agricultural -- Informatics: -- International -- Scenario & Indian -- Possibilities 51 -- 3.12 Suggestions -- 60 3.13 -- Conclusion 60 4 -- Application of -- Agricultural -- Drones and IoT -- to Understand Food -- Supply Chain -- During Post -- COVID-19 -- 67Pushan Kumar -- Dutta and -- Susanta Mitra 4.1 -- Introduction 68 -- 4.2 Related Work -- 69 4.3 Smart -- Production With -- the Introduction -- of Drones and IoT -- 72 4.4 -- Agricultural -- Drones 75 4.5 -- IoT Acts as a -- Backbone in -- Addressing -- COVID-19 -- Problems in -- Agriculture 77 -- 4.6 Conclusion -- 81 5 IoT and -- Machine --Learning-Based -- Approaches for -- Real Time -- Environment -- Parameters -- Monitoring in -- Agriculture: An -- Empirical Review -- 89Parijata -- Majumdar and -- Sanjoy Mitra 5.1 -- Introduction 90 -- 5.2 Machine -- Learning (ML)- -- Based IoT -- Solution 90 5.3 -- Motivation of the -- Work 91 5.4 -- Literature Review -- of IoT-Based -- Weather and -- Irrigation -- Monitoring for -- Precision -- Agriculture 91 -- 5.5 Literature -- Review of -- Machine -- Learning-Based -- Weather and -- Irrigation -- Monitoring for -- Precision -- Agriculture 92 -- 5.6 Challenges -- 112 5.7 -- Conclusion and -- Future Work 113 -- 6 Deep Neural -- Network-Based -- Multi-Class -- Image -- Classification for -- Plant Diseases -- 117Alok Negi, -- Krishan Kumar -- and Prachi Chauhan 6.1 -- Introduction 117 -- 6.2 Related Work -- 119 6.3 -- Proposed Work -- 121 6.4 Results -- and Evaluation -- 124 6.5 -- Conclusion 127 7 -- Deep Residual -- Neural Network -- for Plant Seedling -- Image -- Classification -- 131Prachi -- Chauhan, -- Hardwari Lal -- Mandoria and -- Alok Negi 7.1 -- Introduction 131 -- 7.2 Related Work -- 136 7.3 -- Proposed Work -- 139 7.4 Result -- and Evaluation -- 142 7.5 -- Conclusion 144 8 -- Development of -- IoT-Based Smart -- Security and -- Monitoring -- Devices for -- Agriculture -- 147Himadri Nath -- Saha, Reek Roy, -- Monojit -- Chakraborty and -- Chiranmay Sarkar -- 8.1 Introduction -- 148 8.2 -- Background & -- Related Works -- 150 8.3 -- Proposed Model -- 155 8.4 -- Methodology -- 160 8.5 -- Performance -- Analysis 165 8.6 -- Future Research -- Direction 166 8.7 -- Conclusion 167 9 -- An Integrated -- Application of -- IoT-Based WSN -- in the Field of -- Indian Agriculture -- System Using -- Hybrid -- Optimization -- Technique and -- Machine -- Learning -- 171Avishek -- Banerjee, Arnab -- Mitra and -- Arindam Biswas -- 9.1 Introduction -- 172 9.2 -- Literature Review -- 175 9.3 -- Proposed Hybrid -- Algorithms (GA- -- MWPSO) 177 -- 9.4 Reliability -- Optimization and -- Coverage -- Optimization -- Model 179 9.5 -- Problem -- Description 181 -- 9.6 Numerical -- Examples, -- Results and -- Discussion 182 -- 9.7 Conclusion - 183 10 -- Decryption and -- Design of a -- Multicopter -- Unmanned Aerial -- Vehicle (UAV) for -- Heavy Lift -- Agricultural -- Operations -- 189Raghuvirsinh -- Pravinsinh -- Parmar 10.1 -- Introduction 190 -- 10.2 History of -- Multicopter -- UAVs 192 10.3 -- Basic -- Components of -- Multicopter UAV -- 193 10.4 -- Working and -- Control -- Mechanism of -- Multicopter UAV -- 207 10.5 Design -- Calculations and -- Selection of -- Components 210 -- 10.6 Conclusion -- 218 11 IoT- -- Enabled -- Agricultural -- System -- Application, -- Challenges and -- Security Issues -- 223Himadri Nath -- Saha, Reek Roy, --Monojit --Chakraborty and -- Chiranmay Sarkar -- 11.1 Introduction -- 224 11.2 -- Background & -- Related Works -- 226 11.3 -- Challenges to -- Implement IoT- -- Enabled Systems -- 232 11.4 -- Security Issues -- and Measures -- 240 11.5 Future -- Research -- Direction 243 -- 11.6 Conclusion -- 244 12 Plane -- Region Step -- Farming, Animal -- and Pest Attack -- Control Using -- Internet of -- Things -- 249Sahadev Roy, -- Kaushal -- Mukherjee and -- Arindam Biswas -- 12.1 Introduction -- 250 12.2 -- Proposed Work -- 254 12.3 -- Irrigation -- Methodology -- 257 12.4 Sensor -- Connection -- Using Internet of -- Things 259 12.5 -- Placement of -- Sensor in the -- Field 263 12.6 -- Conclusion 267 -- References 268 -- Index 271.…”

Tabla de Contenidos: “…-- The Realities of Neopatrimonialism in Africa -- The Role of Leadership in Development -- Modelling the Impact of More Democracy: The Fourth Wave of Democracy Scenario -- Conclusion: Promoting Democracy, State Capacity and Human Development -- Further Reading -- 14 Aid, Remittances and Foreign Direct Investment -- The Shifting Global Aid Landscape -- Leveraging Foreign Direct Investment for Africa -- China's Growing Footprint in Africa -- Remittance Flows to Africa -- Modelling Increased FDI, Aid and Remittances: The External Support Scenario -- The Impact of the Combined External Support Scenario -- Conclusion: Unlocking Foreign Assistance -- Further Reading -- 15 Climate Change -- Africa as a Climate Change Taker -- The Global Energy Transition -- Carbon Emissions and Energy in Africa -- The Impact of Climate Change -- Comparing Carbon Emissions in Different Scenarios -- Responding to Climate Change -- Development as a Coping and Planning Mechanism -- Conclusion: Finding an Environmentally Sustainable Pathway -- Further Reading -- 16 Closing the Gap -- Prospects in the Close the Gap Scenario -- GDP Per Capita in the Close the Gap Scenario -- Size of Economies in the Close the Gap Scenario -- Extreme Poverty in the Close the Gap Scenario -- Carbon Emissions in the Close the Gap Scenario -- Structural Change of Economies in the Close the Gap Scenario -- Comparing the Impact of Individual Scenarios Over Time -- Scenario Comparison Using Income Per Person as Key Indicator -- Scenario Comparison Using Progress with the Human Development Index, Inequality and Extreme Poverty -- What Is Possible? …”

Tabla de Contenidos: “…-- 1 Introduction -- 2 Related Work -- 3 Research Approach -- 3.1 Research Field and Methodology -- 3.2 Research Framework -- 4 Results -- 5 Discussion of Initial Results -- 6 Conclusion -- References -- Organising Academia Online -- 1 Introduction -- 2 E-Learning Organisation: Media Integration as Organisational Development -- 2.1 Online Technologies in Higher Education -- 2.2 Virtualisation in Higher Education -- 3 Change of Organisational Theories and Paradigms -- 3.1 The Research Framework: Virtual (Educational) Organisations -- 3.2 Research Methods -- 4 Discussion and Conclusions -- 4.1 Theoretical Considerations About the Functioning of Virtual Organisations in the Academic Sector -- 4.2 Forms, Instruments and Mechanisms of Control in Virtual Organisations -- 4.3 Limitations -- References -- The Fish Model: When Do Researchers Collaborate Online? …”

Tabla de Contenidos: “…5.1.3 Knowledge Systems Analysis -- 5.2 New York City Flood Map Case Study -- 5.3 Discussion and Conclusion -- References -- 6 Positive Futures -- 6.1 Approach -- 6.1.1 A Framework for Positive Futures -- 6.1.2 Development of the UREx SRN Scenarios -- 6.2 Scoping and Framing -- 6.3 Goals and Intervention Strategies -- 6.4 Scenario Specificity -- 6.5 Evaluation and Dissemination -- 6.6 Conclusion -- References -- 7 Setting the Stage for Co-Production -- 7.1 Co-Production to Address Urban Resilience Challenges -- 7.2 Co-Production of Positive Long-Term Visions in the UREx SRN -- 7.3 Elements of Co-Production -- 7.3.1 Process and Outcomes -- 7.3.2 Collective Commitment -- 7.3.3 Credibility and Legitimacy -- 7.3.4 Diversity of Perspectives -- 7.4 Confronting the Challenges of Co-Production -- 7.4.1 Power Dynamics -- 7.4.2 Short-Term Needs and Long-Term Thinking -- 7.4.3 Clear Expectations -- 7.4.4 Inclusivity and Retention -- 7.5 Moving Co-Production Forward -- References -- 8 Assessing Future Resilience, Equity, and Sustainability in Scenario Planning -- 8.1 An Instrument for Assessment -- 8.1.1 Defining Resilience, Equity, Sustainability -- 8.1.2 Qualitative Assessment-How It Works -- 8.2 Comparing Drought and Heat Scenarios -- 8.2.1 Identifying Key Components -- 8.2.2 Assessing Resilience-Building Mechanisms -- 8.2.3 Assessing Sustainability and Equity -- 8.3 Discussion and Conclusion -- References -- 9 Modeling Urban Futures: Data-Driven Scenarios of Climate Change and Vulnerability in Cities -- 9.1 Data-Driven Models of Urban Land Use and Climate Hazards -- 9.2 Land Surface Temperature Projections in Cities -- 9.2.1 Surface Temperature Projections at City Scales: New York City Case Study -- 9.3 Urban Flooding -- 9.4 Modeling Future Land Use/Cover Change Scenarios -- 9.4.1 Land Use/Cover Scenarios Modeling: San Juan, Puerto Rico Case Study…”

Tabla de Contenidos: “…Front Cover -- Developments in Surface Contamination and Cleaning -- Copyright Page -- Contents -- List of Contributors -- About the Editors -- Preface -- 1 Metallic Contaminants on Surfaces and Their Impact -- 1 Introduction -- 2 Cleanliness Levels -- 3 Metallic Contaminant Behavior -- 3.1 Diffusion -- 3.2 Solubility -- 4 Contamination Sources -- 4.1 Metal Impurities and Particles -- 4.2 Ionic Contamination -- 5 Characterization Techniques -- 6 Impact of Metallic Contaminants -- 6.1 Metal Particles and Trace Metal Impurities -- 6.2 Ionic Contamination -- 7 Summary -- Acknowledgments -- Disclaimer -- References -- 2 Particle Resuspension From Surfaces: Overview of Theoretical Models and Experimental Data -- 1 Introduction -- 2 Particle Detachment: Theoretical Models -- 2.1 Adhesion Forces -- 2.1.1 Adhesion Force -- 2.1.2 Maximum Adhesion Resistance Moment -- 2.1.3 Particle Adhesion Models on Rough Surfaces -- 2.2 External Forces -- 2.2.1 Hydrodynamic Forces -- 2.3 Removal Mechanisms -- 3 Resuspension Experiments -- 3.1 Wind Tunnel and Duct Flow Characteristics -- 3.2 Experimental Resuspension Data -- 3.2.1 Particle Size -- 3.2.2 Relative Humidity -- 3.2.3 Time Dependency -- 4 Comparison of Theory Against Experimental Data for Particle Resuspension -- 4.1 Roughness Effect -- 5 Summary and Conclusions -- References -- 3 GMP in Pharma Manufacturing-Description of GMP as Related to Air-Handling Units and Prevention of Contamination and Impl ... -- 1 Introduction -- 1.1 How Were GMPs Developed? …”

Tabla de Contenidos: “…-- The 6 Ds (Phases) as Classified by Peter Diamandis -- 5: Mind over Organizational Matter -- Mind and Brain Mechanics 101 -- Substance Is All Around Us. We Just Need the Thought. -- The Stick-Person Explained -- Understanding the Mind Using the Stick-Person Graphic -- The Six Intellectual Faculties -- Reasoning -- Intuition -- Perception -- Will -- Imagination -- Memory -- What to Do When the Zombies Attack -- Break Through Your Comfort Zone -- Nothing Stays the Same! …”

Tabla de Contenidos: “…Satellite Investigation of Semidiurnal Internal Tides in the Sulu-Sulawesi Seas -- Weidong Wang, Robin Robertson, Yang Wang, Chen Zhao, Zhanjiu Hao, Baoshu Yin and Zhenhua Xu Distinct Variability between Semi diurnal and Diurnal Internal Tides at the East China Sea Shelf -- Thomas Meunier, Paula P ́erez-Brunius and Amy Bower Reconstructing the Three-Dimensional Structure of Loop Current Rings from Satellite Altimetry and In Situ Data Using the Gravest Empirical Modes Method -- Zhanjiu Hao, Zhenhua Xu, Ming Feng, Qun Li and Baoshu Yin Spatiotemporal Variability of Mesoscale Eddies in the Indonesian Seas -- Shipeng Ying, Hongsong Qu, Shuping Tao, Liangliang Zheng and Xiaobin Wu Radiation Sensitivity Analysis of Ocean Wake Information Detection System Based on Visible Light Remote Sensing -- Zhi Huang, Jianyu Hu and Weian Shi Mapping the Coastal Upwelling East of Taiwan Using Geostationary Satellite Data -- Yuhui Li, Yun Qiu, Jianyu Hu, Cherry Aung, Xinyu Lin and Yue Dong Springtime Upwelling and Its Formation Mechanism in Coastal Waters of Manaung Island, Myanmar -- Senyang Xie, Zhi Huang and Xiao Hua Wang Remotely Sensed Seasonal Shore ward Intrusion of the East Australian Current: Implications for Coastal Ocean Dynamics -- Chun-Hoe Chow, Yi-Chen Lin, Wee Cheah and Jen-Hua Tai Injection of High Chlorophyll-a Waters by a Branch of Kuroshio Current into the Nutrient-Poor North Pacific Subtropical Gyre -- Zhenyu Sun, Jianyu Hu, Zhaozhang Chen, Jia Zhu, Longqi Yang, Xirong Chen and Xuewen Wu A Strong Kuroshio Intrusion into the South China Sea and Its Accompanying Cold-Core Anticyclonic Eddy in Winter 2020-2021 -- Ching-Yuan Lu, Po-Chun Hsu, Quanan Zheng and Chung-Ru Ho Variations in Flow Patterns in the Northern Taiwan Strait Observed by Satellite-Tracked Drifters -- Rodrigo N. …”

Tabla de Contenidos: “…-- Summary -- Chapter 10: Understanding Your Building's Existing Smart Level and Systems -- How smart is your building -- The Smarter Stack -- WiredScore -- SPIRE Smart Building AssessmentTM -- Smart Building Alliance -- Smart Building Collective assessment and certification -- Current building systems -- Civil systems -- Structural systems -- Mechanical systems -- Electrical systems -- Energy systems -- Plumbing systems -- Technology systems -- Communication systems -- A post-smart building assessment -- Network diagram -- System modification, upgrade, replacement, and addition -- Summary -- Chapter 11: Technology and Applications -- Hardware technology -- Smart building applications -- IoT middleware -- Codes, standards, and guidelines to consider -- Summary -- Part 4: Building Sustainability for Contribution to Smart Cities -- Chapter 12: A Roadmap to Your Smart Building Will Require Partners -- Smart project planning -- A built environment drives the majority of IoT smart buildings projects -- New buildings create built-in IoT opportunities -- Partners -- Smart building project roadmap…”

Tabla de Contenidos: “…Contingent view on coordination -- 2.1.1.2. Mechanisms, means and tools of coordination -- 2.1.2. …”

Tabla de Contenidos: “…The future state of deeper OS-level integrations in malware detection -- The current state of malware detection -- The rationale behind OS-level integrations -- Potential avenues for deeper OS-level integrations -- Benefits of deeper OS-level integrations -- Challenges and considerations -- The future state of post-quantum cryptography in countering quantum-vulnerable malware -- Understanding the quantum threat -- Post-quantum cryptography - the new frontier -- Integration in malware detection and defense -- Challenges ahead -- The future state -- The future state of proactive defense mechanisms in cybersecurity -- Why proactive defense? …”

Tabla de Contenidos: “…Intro -- Title Page -- Copyright and Credits -- Packt Upsell -- Contributors -- Table of Contents -- Preface -- Chapter 1: From Object-Oriented to Functional Programming -- Java - an introduction -- Java programming paradigms -- Imperative programming -- Real-life imperative example -- Object-oriented paradigm -- Objects and classes -- Encapsulation -- Abstraction -- Inheritance -- Polymorphism -- Declarative programming -- Functional programming -- Working with collections versus working with streams -- An introduction to Unified Modeling Language -- Class relations -- Generalization -- Realization -- Dependency -- Association -- Aggregation -- Composition -- Design patterns and principles -- Single responsibility principle -- Open/closed principle -- Liskov Substitution Principle -- Interface Segregation Principle -- Dependency inversion principle -- Summary -- Chapter 2: Creational Patterns -- Singleton pattern -- Synchronized singletons -- Synchronized singleton with double-checked locking mechanism -- Lock-free thread-safe singleton -- Early and lazy loading -- The factory pattern -- Simple factory pattern -- Static factory -- Simple factory with class registration using reflection -- Simple factory with class registration using Product.newInstance -- Factory method pattern -- Anonymous concrete factory -- Abstract factory -- Simple factory versus factory method versus abstract factory -- Builder pattern -- Car builder example -- Simplified builder pattern -- Anonymous builders with method chaining -- Prototype pattern -- Shallow clone versus deep clone -- Object pool pattern -- Summary -- Chapter 3: Behavioral Patterns -- The chain-of-responsibility pattern -- Intent -- Implementation -- Applicability and examples -- The command pattern -- Intent -- Implementation -- Applicability and examples -- The interpreter pattern -- Intent…”

Tabla de Contenidos: “…About Managed Beans -- Beans as Injectable Objects -- Using Qualifiers -- Injecting Beans -- Using Scopes -- Giving Beans EL Names -- Adding Setter and Getter Methods -- Using a Managed Bean in a Facelets Page -- Injecting Objects by Using ProducerMethods -- Configuring a CDI Application -- Further Information about CDI -- 18 Running the Basic Contexts and Dependency Injection Examples -- The simplegreeting CDI Example -- The guessnumber CDI Example -- Part VI: Persistence -- 19 Introduction to the Java Persistence API -- Entities -- Entity Inheritance -- Managing Entities -- Querying Entities -- Further Information about Persistence -- 20 Running the Persistence Examples -- The order Application -- The roster Application -- The address-book Application -- 21 The Java Persistence Query Language -- Query Language Terminology -- Creating Queries Using the Java Persistence Query Language -- Simplified Query Language Syntax -- Example Queries -- Full Query Language Syntax -- 22 Using the Criteria API to Create Queries -- Overview of the Criteria and Metamodel APIs -- Using the Metamodel API to Model Entity Classes -- Using the Criteria API and Metamodel API to Create Basic Typesafe Queries -- Part VII: Security -- 23 Introduction to Security in the Java EE Platform -- Overview of Java EE Security -- SecurityMechanisms -- Securing Containers -- Securing the GlassFish Server -- Working with Realms, Users, Groups, and Roles -- Establishing a Secure Connection Using SSL -- Further Information about Security -- 24 Getting Started SecuringWeb Applications -- Overview of Web Application Security -- Securing Web Applications -- Using Programmatic Security with Web Applications -- Examples: Securing Web Applications -- 25 Getting Started Securing Enterprise Applications -- Securing Enterprise Beans -- Examples: Securing Enterprise Beans…”

Tabla de Contenidos: “…Intro -- Table of Contents -- About the Authors -- Chapter 1: Introduction to Quantum Computing -- Transition from Classical Physics to Quantum Physics -- Fundamentals of Quantum Mechanics -- Electromagnetic Spectrum -- Planck's Constant -- Uncertainty Principle -- Double Slit Experiment -- Photo-electric Effect -- De-Broglie Wavelength -- Transition from Quantum Physics to Quantum Computing -- The Need for Quantum Computing -- Quantum Computing Basics -- Quantum Bits (Qubits) -- Ways of Representing Qubits -- Measuring Qubit States -- Quantum Gates and Circuits -- Differences Between Pauli Gates and Closest Classical Gates -- Advantages Over Classical Gates -- Quantum States and Superposition -- Quantum Entanglement -- Summary -- Chapter 2: Quantum Algorithms and Applications -- Introduction to Quantum Algorithms -- Designing Quantum Algorithms -- How Efficient Are Quantum Algorithms Compared to Their Classical Counterparts? …”

Tabla de Contenidos: “…Maintaining and tuning the GPFS environment -- 5.1 Performance tuning cycle -- 5.2 Tuning the GPFS environment -- 5.2.1 Tuning storage -- 5.2.2 Tuning the SAN hardware -- 5.2.3 Tuning the operating system -- 5.2.4 Tuning GPFS -- 5.2.5 Tuning the clients -- 5.3 Software tools and utilities -- 5.3.1 System administration tools -- 5.3.2 System resource monitoring tools (Linux) -- 5.3.3 Load generating tools -- 5.4 Client application considerations -- 5.4.1 Client side buffering and failover mechanism -- 5.4.2 Client side load balancing -- 5.4.3 Block size considerations -- 5.4.4 Mixed-media processing and file access patterns -- 5.5 Performance tuning considerations -- 5.6 List of GPFS related files -- Appendix A. …”

Tabla de Contenidos: “…Device-Responsive CSS -- Media Queries -- Media Features Based on Dimensions -- Combining and Negating Media Queries -- A Quick Digression: All About Pixels -- Screen Resolution Media Queries -- Device Adaptation -- Input Mechanism Media Features -- Further Media Features -- Media Queries in JavaScript -- Adaptive vs. …”

Tabla de Contenidos: “…7.1 Single Particle Detection -- 7.1.1 Photostability -- 7.1.2 Spectroscopic Properties -- 7.1.3 Color Center Numbers -- 7.2 Single Particle Tracking -- 7.2.1 Tracking in Solution -- 7.2.2 Tracking in Cells -- 7.2.3 Tracking in Organisms -- References -- Chapter 8 Cell Labeling and Fluorescence Imaging -- 8.1 Cell Labeling -- 8.1.1 Nonspecific Labeling -- 8.1.2 Specific Labeling -- 8.2 Fluorescence Imaging -- 8.2.1 Epifluorescence and Confocal Fluorescence -- 8.2.2 Total Internal Reflection Fluorescence -- 8.2.3 Two‐Photon Excitation Fluorescence -- 8.2.4 Time‐Gated Fluorescence -- References -- Chapter 9 Cell Tracking and Deep Tissue Imaging -- 9.1 Cellular Uptake -- 9.1.1 Uptake Mechanism -- 9.1.2 Entrapment -- 9.1.3 Quantification -- 9.2 Cell Tracking -- 9.2.1 Tracking In Vitro -- 9.2.2 Tracking In Vivo -- 9.3 Deep Tissue Imaging -- 9.3.1 Wide‐Field Fluorescence Imaging -- 9.3.2 Optically Detected Magnetic Resonance Imaging -- 9.3.3 Time‐Gated Fluorescence Imaging -- 9.3.4 Magnetically Modulated Fluorescence Imaging -- References -- Chapter 10 Nanoscopic Imaging -- 10.1 Diffraction Barrier -- 10.2 Superresolution Fluorescence Imaging -- 10.2.1 Stimulated Emission Depletion Microscopy -- 10.2.2 Saturated Excitation Fluorescence Microscopy -- 10.2.3 Deterministic Emitter Switch Microscopy -- 10.2.4 Tip‐Enhanced Fluorescence Microscopy -- 10.3 Cathodoluminescence Imaging -- 10.4 Correlative Light‐Electron Microscopy -- References -- Chapter 11 Nanoscale Quantum Sensing -- 11.1 The Spin Hamiltonian -- 11.2 Temperature Sensing -- 11.2.1 Ultrahigh Precision Temperature Measurement -- 11.2.2 Time‐Resolved Nanothermometry -- 11.2.3 All‐Optical Luminescence Nanothermometry -- 11.2.4 Scanning Thermal Imaging -- 11.3 Magnetic Sensing -- 11.3.1 Continuous‐Wave Detection -- 11.3.2 Relaxometry -- References -- Chapter 12 Hybrid Fluorescent Nanodiamonds…”