Tabla de Contenidos: “…Cover -- Title Page -- Copyright -- Contents -- Preface -- Part I Silicon Carbide (SiC) -- Chapter 1 Dislocation Formation During Physical Vapor Transport Growth of 4H‐SiC Crystals -- 1.1 Introduction -- 1.2 Formation of Basal Plane Dislocations During PVT Growth of 4H‐SiC Crystals -- 1.2.1 Plan‐View X‐ray Topography Observations of Growth Front -- 1.2.2 Cross‐Sectional X‐ray Topography Observations of Growth Front -- 1.2.3 Characteristic BPD Distribution in PVT‐Grown 4H‐SiC Crystals -- 1.2.4 BPD Multiplication During PVT Growth -- 1.3 Dislocation Formation During Initial Stage of PVT Growth of 4H‐SiC Crystals -- 1.3.1 Preparation of 4H‐SiC Wafers with Beveled Interface Between Grown Crystal and Seed Crystal -- 1.3.2 Determination of Grown‐Crystal/Seed Interface by Raman Microscopy -- 1.3.3 X‐ray Topography Observations of Dislocation Structure at Grown‐Crystal/Seed Interface -- 1.3.4 Formation Mechanism of BPD Networks and Their Migration into Seed Crystal -- 1.4 Conclusions -- References -- Chapter 2 Industrial Perspectives of SiC Bulk Growth -- 2.1 Introduction -- 2.2 SiC Substrates for GaN LEDs -- 2.3 SiC Substrates for Power SiC Devices -- 2.4 SiC Substrates for High‐Frequency Devices -- 2.5 Cost Considerations for Commercial Production of SiC -- 2.6 Raw Materials -- 2.7 Reactor Hot Zone -- 2.8 System Equipment -- 2.9 Yield -- 2.10 Turning Boules into Wafers -- 2.11 Crystal Grind -- 2.12 Wafer Slicing -- 2.13 Wafer Polish -- 2.14 Summary -- Acknowledgments -- References -- Chapter 3 Homoepitaxial Growth of 4H‐SiC on Vicinal Substrates -- 3.1 Introduction -- 3.2 Fundamentals of 4H‐SiC Homoepitaxy for Power Electronic Devices -- 3.2.1 4H‐SiC Polytype Replication for Homoepitaxial Growth on Vicinal Substrates -- 3.2.2 Homoepitaxial Growth by Chemical Vapor Deposition (CVD) Process -- 3.2.3 Doping in Homoepitaxial Growth…”

Tabla de Contenidos: “…2.5 Reflection of Plane Waves -- 2.6 Reflection and Transmission of Plane Waves -- 2.7 Inhomogeneous Wave Equation -- 2.7.1 Acoustic Green's Functions -- 2.7.2 Rayleigh integral -- 2.7.3 Piston in a Wall -- 2.7.4 Power Radiation -- 2.8 Units, Measures, and levels -- Bibliography -- 3 Wave Propagation in Structures -- 3.1 Introduction -- 3.2 Basic Equations and Definitions -- 3.2.1 Mechanical Strain -- 3.2.2 Mechanical Stress -- 3.2.3 Material Laws -- 3.3 Wave Equation -- 3.3.1 The One-dimensional Wave Equation -- 3.3.2 The Three-dimensional Wave Equation -- 3.4 Waves in Infinite Solids -- 3.4.1 Longitudinal Waves -- 3.4.2 Shear waves -- 3.5 Beams -- 3.5.1 Longitudinal Waves -- 3.5.2 Power, Energy, and Impedance -- 3.5.3 Bending Waves -- 3.5.4 Power, Energy, and Impedance -- 3.6 Membranes -- 3.7 Plates -- 3.7.1 Strain-displacement Relations -- 3.7.2 In-plane Wave Equation -- 3.7.3 Longitudinal Waves -- 3.7.4 Shear Waves -- 3.7.5 Combination of Longitudinal and Shear Waves -- 3.7.6 Bending Wave Equation -- 3.8 Propagation of Energy in Dispersive Waves -- 3.9 Findings -- Bibliography -- 4 Fluid Systems -- 4.1 One-dimensional Systems -- 4.1.1 System Response -- 4.1.2 Power Input -- 4.1.3 Pressure Field -- 4.1.4 Modes -- 4.2 Three-dimensional Systems -- 4.2.1 Modes -- 4.2.2 Modal Frequency Response -- 4.2.3 System Responses -- 4.3 Numerical Solutions -- 4.3.1 Acoustic Finite Element Methods -- 4.3.2 Deterministic Acoustic Elements -- 4.4 Reciprocity -- Bibliography -- 5 Structure Systems -- 5.1 Introduction -- 5.2 One-dimensional Systems -- 5.2.1 Longitudinal Waves in Finite Beams -- 5.2.2 Bending Wave in Finite Beams -- 5.3 Two-dimensional Systems -- 5.3.1 Bending Waves in Flat Plates -- 5.4 Reciprocity -- 5.5 Numerical Solutions -- 5.5.1 Normal Modes in Discrete Form -- Bibliography -- 6 Random Description of Systems -- 6.1 Diffuse Wave Field…”

Tabla de Contenidos: “…9.3.1 Enhanced Ion Transport at Grain Boundaries -- 9.3.2 Role of GBs for Ion Migration -- 9.4 Role of Grain Boundaries in Stability -- 9.4.1 MAPbI3 Hydrated Phase at GBs -- 9.4.2 Formation of Non‐perovskite Phase at GBs of FAPbI3 -- References -- Chapter 10 Roles of Center Cations -- 10.1 Introduction -- 10.2 Cubic Perovskite Phase Tolerance Factor -- 10.3 Thin Film Stability -- 10.4 Optoelectronic Property Variations -- 10.5 Solar Cell Performance -- References -- Part II Hybrid Perovskite Solar Cells -- Chapter 11 Operational Principles of Hybrid Perovskite Solar Cells -- 11.1 Introduction -- 11.2 Operation of Hybrid Perovskite Solar Cells -- 11.2.1 Operational Principle and Basic Structures -- 11.2.2 Band Alignment -- 11.3 Band Diagram of Hybrid Perovskite Solar Cells -- 11.3.1 Device Simulation -- 11.3.2 Experimental Observation -- 11.4 Refined Analyses of Hybrid Perovskite Solar Cells -- 11.4.1 Carrier Generation and Loss -- 11.4.2 Power Loss Mechanism -- 11.4.3 e‐ARC Software -- 11.5 What Determines Voc? …”

Tabla de Contenidos: “…Subjectification - the hidden mechanism behind language tests for residence permit in Austria / Les évaluations « Français langue d'intégration » (France, FLI) et « Français en Suisse - apprendre, enseigner, évaluer » (fide): une alternative aux tests de langue certifiés pour la naturalisation française et suisse / Linguistic integration and residence policies in Italy: issues and perspectives / Examens en vue de l'obtention du titre de séjour permanent en République tchèque / Developing placement assessment in integration training for adult migrants in Finland / 6 Language and the workplace / Les langues sur le lieu de travail -- What management assistants of retail services and medical assistants need to read, write, speak and listen to in the workplace / Langues et insertions: pluralité des parcours et des perceptions / Language skills and employment status of adult migrants in Europe / "Integration ... needs language, the language of the workplace": The contribution of work-related second language learning to the integration of adult migrants / Supporting migrants in low‐paid, lowskilled employment in London to improve their English / "The fight against exclusion from the labour market begins ..…”

Tabla de Contenidos: “…Networks for sequence data -- RNNs and LSTMs -- Building a better optimizer -- Gradient descent to ADAM -- Xavier initialization -- Summary -- References -- Chapter 4: Teaching Networks to Generate Digits -- The MNIST database -- Retrieving and loading the MNIST dataset in TensorFlow -- Restricted Boltzmann Machines: generating pixels with statistical mechanics -- Hopfield networks and energy equations for neural networks -- Modeling data with uncertainty with Restricted Boltzmann Machines -- Contrastive divergence: Approximating a gradient -- Stacking Restricted Boltzmann Machines to generate images: the Deep Belief Network -- Creating an RBM using the TensorFlow Keras layers API -- Creating a DBN with the Keras Model API -- Summary -- References -- Chapter 5: Painting Pictures with Neural Networks Using VAEs -- Creating separable encodings of images -- The variational objective -- The reparameterization trick -- Inverse Autoregressive Flow -- Importing CIFAR -- Creating the network from TensorFlow 2 -- Summary -- References -- Chapter 6: Image Generation with GANs -- The taxonomy of generative models -- Generative adversarial networks -- The generator model -- Training GANs -- Non-saturating generator cost -- Maximum likelihood game -- Vanilla GAN -- Improved GANs -- Deep Convolutional GAN -- Vector arithmetic -- Conditional GAN -- Wasserstein GAN -- Progressive GAN -- The overall method -- Progressive growth-smooth fade-in -- Minibatch standard deviation -- Equalized learning rate -- Pixelwise normalization -- TensorFlow Hub implementation -- Challenges -- Training instability -- Mode collapse -- Uninformative loss and evaluation metrics -- Summary -- References -- Chapter 7: Style Transfer with GANs -- Paired style transfer using pix2pix GAN -- The U-Net generator -- The Patch-GAN discriminator -- Loss -- Training pix2pix -- Use cases…”

Tabla de Contenidos: “…Cost-control and inspection mechanisms -- 5.4. The complex governance system poses co-ordination challenges -- References -- Notes -- 6 A new legal context for social services in Spain -- 6.1. …”

Tabla de Contenidos: “…Lessons from the policy cases -- References -- Canada -- Background -- Policy issue: Operationalising the Women Entrepreneurship Strategy -- Definitional criteria -- Federal contracting as a mechanism to support women-owned businesses -- Include demonstrated engagement of women-owned business in funding assessments -- Conclusions and recommendations -- References -- Notes -- Czech Republic -- Background -- Policy issue: Developing a women's entrepreneurship policy -- Conclusions and recommendations -- References -- Notes -- New Zealand -- Background -- Policy issue: Is there a need for a gendered entrepreneurship policy? …”

Tabla de Contenidos: “…Enterprise Georgia's restructuring can give renewed emphasis to investment attraction -- Investment facilitation, aftercare and policy advocacy activities -- Georgia has established itself as an easy place to do business since 2003 -- In the longer term, Enterprise Georgia could strengthen aftercare and policy advocacy -- Formal co-ordination and co-operation terms and mechanisms would improve investment promotion and encourage synergies -- References -- Notes -- 6. …”

Tabla de Contenidos: “…Overview of Ukraine's investment treaties -- References -- 5 Energy Infrastructure in Ukraine -- Introduction -- Financing availability for energy infrastructure projects -- Public Private Partnerships and Concessions as mechanisms to spur investments in energy infrastructure -- Property rights for energy infrastructure projects -- Transparency in energy infrastructure -- Specific infrastructure investment: the example of heat transmission -- Outlook and policy recommendations -- Notes -- References -- 6 Investment Promotion and Facilation -- Introduction -- Investment Promotion -- The institutional set-up: UkraineInvest and the consolidation of an investment promotion agency (IPA) -- UkraineInvest's contribution to enhancing the overall investment climate -- National image-building -- Investment generation in the energy industry…”

Tabla de Contenidos: “…Navarro, Fernando Pérez, Julia Weiss and Marcos Egea-Cortines, Machine Learning and Computer Vision System for Phenotype Data Acquisition and Analysis in Plants Reprinted from: Sensors 2016, 16(5), 641; doi: 10.3390/s16050641 http://www.mdpi.com/1424-8220/16/5/641 164 -- Dionisio Andújar, José Dorado, César Fernández-Quintanilla and Angela Ribeiro An Approach to the Use of Depth Cameras for Weed Volume Estimation Reprinted from: Sensors 2016, 16(7), 972; doi: 10.3390/s16070972 http://www.mdpi.com/1424-8220/16/7/972 180 -- Antonio Martí-Campoy, Juan Antonio Ávalos, Antonia Soto, Francisco Rodríguez-Ballester, Victoria Martínez-Blay and Manuel Pérez Malumbres, Design of a Computerised Flight Mill Device to Measure the Flight Potential of Different Insects Reprinted from: Sensors 2016, 16(4), 485; doi: 10.3390/s16040485 http://www.mdpi.com/1424-8220/16/4/485 191 -- Ramón José Pérez, Ignacio Álvarez and José María Enguita, Theoretical Design of a Depolarized Interferometric Fiber-Optic Gyroscope (IFOG) on SMF-28 Single-Mode Standard Optical Fiber Based on Closed-Loop Sinusoidal Phase Modulation with Serrodyne Feedback Phase Modulation Using Simulation Tools for Tactical and Industrial Grade Applications Reprinted from: Sensors 2016, 16(5), 604; doi: 10.3390/s16050604 http://www.mdpi.com/1424-8220/16/5/604 212 -- Enrique Sevillano, Rui Sun and Ricardo Perera, Damage Detection Based on Power Dissipation Measured with PZT Sensors through the Combination of Electro-Mechanical Impedances and Guided Waves Reprinted from: Sensors 2016, 16(5), 639; doi: 10.3390/s16050639 http://www.mdpi.com/1424-8220/16/5/639 233 -- Antonio M. …”

Tabla de Contenidos: “…-- Traditional techniques - concatenative and parametric models -- A few reminders on spectrograms and the mel scale -- TTS in deep learning -- WaveNet, in brief -- Tacotron -- The encoder -- The attention-based decoder -- The Griffin-Lim-based postprocessing module -- Details of the architecture -- Limitations -- Implementation of Tacotron with Keras -- The dataset -- Data preparation -- Preparation of text data -- Preparation of audio data -- Implementation of the architecture -- Pre-net -- Encoder and postprocessing CBHG -- Attention RNN -- Decoder RNN -- The attention mechanism -- Full architecture, with attention -- Training and testing -- Summary -- Chapter 13: Deploying Trained Models -- Increasing performance -- Quantizing the weights -- MobileNets -- TensorFlow Serving -- Exporting the trained model -- Serving the exported model -- Deploying in the cloud -- Amazon Web Services -- Google Cloud Platform -- Deploying on mobile devices -- iPhone -- Android -- Summary -- Other Books You May Enjoy -- Index…”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright and Credits -- Dedication -- Packt Upsell -- Contributors -- Table of Contents -- Preface -- Chapter 1: Getting Started with Robot Operating System -- Technical requirements -- Introduction to ROS -- ROS concepts -- The ROS filesystem -- The ROS Computation Graph -- The ROS community level -- Installing ROS on Ubuntu -- Introducing catkin -- Creating a ROS package -- Hello_world_publisher.py -- Hello_world_subscriber.py -- Introducing Gazebo -- Installing Gazebo -- Testing Gazebo with the ROS interface -- Summary -- Questions -- Chapter 2: Understanding the Basics of Differential Robots -- Mathematical modeling of the robot -- Introduction to the differential drive system and robot kinematics -- Forward kinematics of a differential robot -- Explanations of the forward kinematics equation -- Inverse kinematics -- Summary -- Questions -- Further information -- Chapter 3 : Modeling the Differential Drive Robot -- Technical requirements -- Requirements of a service robot -- Robot drive mechanism -- Selection of motors and wheels -- Calculation of RPM of motors -- Calculation of motor torque -- The design summary -- The robot chassis design -- Installing LibreCAD, Blender, and MeshLab -- Installing LibreCAD -- Installing Blender -- Installing MeshLab -- Creating 2D CAD drawing of a robot using LibreCAD -- The base plate designs -- Base plate pole design -- Wheel, motor, and motor clamp design -- Caster wheel design -- Middle plate design -- Top plate design -- Working with a 3D model of the robot using Blender -- Python scripting in Blender -- Introduction to Blender Python APIs -- Python script of the robot model -- Creating a URDF model of the robot -- Creating a Chefbot description ROS package -- Summary -- Questions -- Further reading -- Chapter 4: Simulating a Differential Drive Robot Using ROS…”

Tabla de Contenidos: “…Hop Behavior 5 -- 1.3 Traffic Characterization 8 -- 1.4 A Router without QOS 11 -- 1.5 Conclusion 12 -- References 12 -- Further Reading 12 -- 2 The QOS Tools 13 -- 2.1 Classifiers and Classes of Service 13 -- 2.2 Metering and Coloring - CIR/PIR Model 15 -- 2.3 The Policer Tool 16 -- 2.4 The Shaper Function 17 -- 2.5 Comparing Policing and Shaping 18 -- 2.6 Queue 19 -- 2.7 The Scheduler 21 -- 2.8 The Rewrite Tool 21 -- 2.9 Example of Combining Tools 23 -- 2.10 Delay and Jitter Insertion 27 -- 2.11 Packet Loss 31 -- 2.12 Conclusion 32 -- Reference 33 -- 3 Challenges 34 -- 3.1 Defining the Classes of Service 35 -- 3.2 Classes of Service and Queues Mapping 37 -- 3.3 Inherent Delay Factors 40 -- 3.4 Congestion Points 46 -- 3.5 Trust Borders 49 -- 3.6 Granularity Levels 51 -- 3.7 Control Traffic 53 -- 3.8 Trust, Granularity, and Control Traffic 54 -- 3.9 Conclusion 56 -- Further Reading 56 -- 4 Special Traffic Types and Networks 57 -- 4.1 Layer 4 Transport Protocols: UDP and TCP 58 -- 4.1.1 The TCP Session 61 -- 4.1.2 TCP Congestion Mechanism 64 -- 4.1.3 TCP Congestion Scenario 65 -- 4.1.4 TCP and QOS 66 -- 4.2 Data Center 67 -- 4.2.1 SAN Traffic 68 -- 4.2.2 Lossless Ethernet Networks 69 -- 4.2.3 Virtualization 71 -- 4.2.4 Software Defined Networks 73 -- 4.2.5 DC and QOS 74 -- 4.3 Real?]…”

Tabla de Contenidos: “…Looking into the basics of the Apriori algorithm -- Implementing the Apriori algorithm -- Extracting association rules -- Evaluating the association rules -- Summary -- Chapter 5: Features and scikit-learn Transformers -- Feature extraction -- Representing reality in models -- Common feature patterns -- Creating good features -- Feature selection -- Selecting the best individual features -- Feature creation -- Principal Component Analysis -- Creating your own transformer -- The transformer API -- Implementing a Transformer -- Unit testing -- Putting it all together -- Summary -- Chapter 6: Social Media Insight using Naive Bayes -- Disambiguation -- Downloading data from a social network -- Loading and classifying the dataset -- Creating a replicable dataset from Twitter -- Text transformers -- Bag-of-words models -- n-gram features -- Other text features -- Naive Bayes -- Understanding Bayes' theorem -- Naive Bayes algorithm -- How it works -- Applying of Naive Bayes -- Extracting word counts -- Converting dictionaries to a matrix -- Putting it all together -- Evaluation using the F1-score -- Getting useful features from models -- Summary -- Chapter 7: Follow Recommendations Using Graph Mining -- Loading the dataset -- Classifying with an existing model -- Getting follower information from Twitter -- Building the network -- Creating a graph -- Creating a similarity graph -- Finding subgraphs -- Connected components -- Optimizing criteria -- Summary -- Chapter 8: Beating CAPTCHAs with Neural Networks -- Artificial neural networks -- An introduction to neural networks -- Creating the dataset -- Drawing basic CAPTCHAs -- Splitting the image into individual letters -- Creating a training dataset -- Training and classifying -- Back-propagation -- Predicting words -- Improving accuracy using a dictionary -- Ranking mechanisms for word similarity…”

Tabla de Contenidos: “…Creating a Data Explorer pool using the Azure CLI -- Summary -- Chapter 3: Exploring Azure Synapse Studio -- Technical requirements -- Exploring the user interface of Azure Synapse Studio -- Running your first query -- Creating a database -- Loading the data -- Verifying whether your data has loaded successfully -- Working with data in Azure Synapse notebooks -- Saving your work and configuring source control -- Managing and monitoring Data Explorer pools -- Scaling Data Explorer pools -- Pausing and resuming pools -- Monitoring Data Explorer pools -- Summary -- Chapter 4: Real-World Usage Scenarios -- Technical requirements -- Building a multi-purpose end-to-end analytics environment -- Sources -- Ingest -- Store -- Process -- Enrich -- Serve -- User -- Summary -- Managing IoT data -- Processing and analyzing geospatial data -- Enabling real-time analytics with big data -- Performing time series analytics -- Summary -- Part 2: Working with Data -- Chapter 5: Ingesting Data into Data Explorer Pools -- Technical requirements -- Understanding the data loading process -- Defining a retention policy -- Choosing a data load strategy -- Streaming ingestion -- Batching ingestion -- Performing data ingestion -- Using KQL control commands -- Building an Azure Synapse pipeline -- Implementing continuous ingestion -- Using other data ingestion mechanisms -- Summary -- Chapter 6: Data Analysis and Exploration with KQL and Python -- Technical requirements -- Analyzing data with KQL -- Selecting data -- Working with calculated columns -- Plotting charts -- Obtaining percentiles -- Creating a time series -- Detecting outliers -- Using linear regression -- Exploring Data Explorer pool data with Python -- Creating an Apache Spark pool -- Working with Azure Synapse notebooks -- Reading data from Data Explorer pools -- Plotting charts…”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright Page -- Contents -- Author Biography -- Chapter 1 Introduction -- 1.1 Background -- 1.2 Overview -- 1.3 Book Outline -- Chapter 2 Overview of IEEE 802.11 -- 2.1 Introduction -- 2.2 Overview of the IEEE 802.11 PHY Layer -- 2.2.1 Operating Frequencies and Bandwidths -- 2.2.2 OFDM -- 2.2.3 OFDM PPDU -- 2.3 Overview of IEEE 802.11 MAC Layer -- 2.3.1 Network Discovery -- 2.3.2 Connection Setup -- 2.3.3 Coordinated Wireless Medium Access -- 2.3.4 Enhanced Distributed Channel Access -- 2.3.5 Security -- 2.3.6 Time Synchronization -- 2.3.7 Power-Saving Mechanisms -- 2.3.8 Orthogonal Frequency Division Multiple Access (OFDMA) -- 2.4 Conclusions -- References -- Chapter 3 Wake-up Radio Concept -- 3.1 Introduction -- 3.2 Primary Sources of Power Consumption in an IEEE 802.11 Station -- 3.2.1 Power Consumption in Transmit Mode -- 3.2.2 Power Consumption in Receive Mode -- 3.2.3 Power Consumption in Sleep Mode -- 3.2.4 Power Consumption in Deep Sleep Mode -- 3.3 Wake-up Radio Concept -- 3.4 Example of Power Consumption Using a Wake-up Radio -- 3.5 Selection of Duty Cycle Values -- 3.6 Conclusions -- Chapter 4 Physical Layer Description -- 4.1 Introduction -- 4.2 Requirements -- 4.3 Regulations -- 4.4 Link Budget Considerations -- 4.5 Modulation -- 4.6 Physical Layer Protocol Data Unit (PPDU) Structure -- 4.6.1 Non-WUR Portion of PPDU -- 4.6.2 Sync Field -- 4.6.3 Data Field -- 4.7 Symbol Randomization -- 4.8 FDMA Operation -- 4.8.1 40 MHz FDMA -- 4.8.2 80 MHz FDMA -- 4.9 Additional Topics -- 4.10 Conclusions -- References -- Chapter 5 Physical Layer Performance -- 5.1 Introduction -- 5.2 Generic Non-coherent Receiver -- 5.3 Simulation Description -- 5.3.1 Transmitter Model -- 5.3.2 MC-OOK Symbol Waveform Generation -- 5.3.3 Channel Model -- 5.3.4 Receiver Model -- 5.3.5 Performance Metrics…”

Tabla de Contenidos: “…Vector potential and quantum mechanics -- 4.8. Appendix: another example of an induction problem -- 4.8.1. …”

Tabla de Contenidos: “…Triggers and gating -- Feature flags -- Enabling GitHub Actions for CI/CD implementation -- GitHub Actions for continuous integration -- GitHub Actions for continuous deployment -- Choosing an Integration Test Suite Methodology -- Summary -- Questions -- Further reading -- Chapter 9: Fault Injection and Chaos Testing -- Technical requirements -- Fault tolerance and fault injection -- Anticipating and tolerating faults -- Using your faults against you -- Chaos testing -- The order of chaos engineering -- Implementing fault injection and chaos tests -- Starting with Chaos Mesh -- Using Azure Chaos Studio -- Summary -- Questions -- Further reading -- Part 3: Testing and Deploying Microservices -- Chapter 10: Modern Design Patterns for Scalability -- Technical requirements -- Mechanisms for autoscaling -- Compute and CPU load -- Disk and I/O load -- Request and network load -- Memory-intensive operations -- Implementing autoscaling for Kubernetes services -- Native Kubernetes options -- Cloud platform options -- Third-party plugins -- Implementing autoscaling for Azure App Service -- Common platform options -- Adjustments for Web Apps -- Adjustments for API Apps -- Summary -- Questions -- Further reading -- Chapter 11: Minimizing Data Loss -- Technical requirements -- Preventing data loss -- Data consistency paradigms -- ACID paradigm/immediate consistency -- BASE paradigm / eventual consistency -- The Saga pattern -- Command query responsibility segregation (CQRS) -- Identifying acceptable data loss -- Acceptable and unacceptable data loss -- Methods of data loss -- Delivery guarantees -- At-most-once delivery -- At-least-once delivery -- Effectively-once delivery -- Data loss implications -- Summary -- Questions -- Further reading -- Chapter 12: Service and Application Resiliency -- Technical requirements -- Resiliency through cloud-native patterns…”

Tabla de Contenidos: “…-- Strategies for battery optimization -- Effective consumption of battery in Zomato -- Monitoring changes in charging state -- Determining the current battery level -- Improving app with battery analyser -- Summary -- Chapter 10: Building Restaurant finder -- App sections -- Splash, Login, and Signup (including Google and Facebook) -- The Signup Flow -- Discovery Screen -- Database -- Room -- Summary -- Chapter 11: Backend Service -- Realtime Database -- How to write a database structure -- Add security to data structure -- Firebase Cloud Messaging -- Remote configuration -- Authentication -- Storage -- Summary -- Chapter 12: App Quality Service -- Firebase Test Lab -- Summary -- Chapter 13: Grow Up -- Dynamic links -- App indexing -- Admob -- Banner Ads -- Ad lifecycle event callbacks -- Discouraged banner implementations -- Recommended banner implementations -- Interstitial Ads -- Discouraged interstitial implementations -- Interstitial ad implementations -- Summary -- Chapter 14: Testing -- Testing Mechanisms (Functionality , Performance , Security , and Compatibility) -- Software Testing Life Cycle (STLC) -- Organizing for Software Testing -- Integration Testing -- Top-down integration testing -- Bottom-up integration testing -- Regression testing -- Smoke testing -- Acceptance Testing -- Alpha test -- Beta test -- Performance Testing -- Security Testing -- Compatibility Testing -- Automating User Interface Tests -- Testing UI for a single app -- Testing App using Espresso in Android Studio -- Setting up Espresso in Android Studio -- Create an Espresso Test Class -- Specifying a View Matcher…”

Tabla de Contenidos: “…"Innovate" -- Where We're Going: Heirloom Laptops -- An Opportunity for Open Hardware -- Closing Thoughts -- Chapter 7. novena: building my own laptop -- Not a Laptop for the Faint of Heart -- Designing the Early Novena -- Under the Hood -- The Enclosure -- The Heirloom Laptop's Custom Wood Composite -- Growing Novenas -- The Mechanical Engineering Details -- Changes to the Finished Product -- Case Construction and Injection-Molding Problems -- Changes to the Front Bezel -- DIY Speakers -- The PVT2 Mainboard…”