Tabla de Contenidos: “…Chapter 13: Custom Domains -- Technical Requirements -- Adding a Custom Domain -- What Domains to Add -- Azure Portal Custom Domain Pane -- Self-Managed Domain -- Domain on Azure DNS -- Azure-Generated URL -- Conclusion -- Appendix A: Next Steps -- Add User Details -- Blog Post Summary Refresh -- Search -- Custom Summary Length -- Preview Complete Flag -- Tag Lookup -- Blog Post Preview -- Make the Application Multiauthor -- Fully Implement Post Status -- Styling -- Appendix B: Changing the GitHub Workflow -- Opening the Workflow File -- Index…”

Tabla de Contenidos: “…-- Developing for Drupal -- Technologies that drive Drupal -- PHP -- Databases and MySQL -- The web server -- Drupal architecture -- Drupal's major subsystems -- Tools for developing in Drupal -- Summary -- Chapter 2: Creating Your First Module -- Creating a module -- Your first hook implementation -- Route and controller -- Services -- Using services in Drupal -- Injecting the service into our Controller -- Invoked Controllers -- The Form API -- Altering forms -- Custom submit handlers -- Rendering forms -- Service dependencies -- Blocks -- Our first block plugin -- Block configuration -- Working with links -- The URL -- The link -- Which way to link? -- Event Dispatcher and redirects -- Redirecting from a Controller -- Redirecting from a subscriber -- Dispatching events -- Summary -- Chapter 3: Logging and Mailing -- Logging -- The Drupal logging theory -- Our own logger channel -- Our own logger -- Logging for Hello World -- Logging recap -- Mail API -- The theory behind the Mail API -- Implementing hook_mail() -- Sending emails -- Altering someone else's emails -- Custom mail plugins -- Mail API recap -- Tokens -- The Token API -- Using tokens -- Defining new tokens -- Tokens recap -- Summary -- Chapter 4: Theming -- Business logic versus presentation logic -- Twig -- Theme hooks -- Theme hook suggestions -- Render arrays -- The structure of a render array -- The render pipeline -- Assets and libraries -- Libraries -- Common theme hooks -- Lists -- Links -- Tables -- Attributes -- Layouts -- Defining layouts -- Rendering a layout -- Theming our Hello World module -- Summary -- Chapter 5: Menus and Menu Links -- The menu system -- Menus…”

Tabla de Contenidos: “…. -- NISO's IOTA working group: creating an index for measuring the quality of open URL links / Rafal Kasprowski, Susan Marcin. -- License management: making it fun and flexible with CORAL / Andrea Langhurst, Xan Arch. -- Analysis of claiming print journals at the University of Manitoba libraries / Lisa O'Hara, Pat Milne. -- Making do: ERM alternatives / Fran Rosen, Jennifer Dean…”

Tabla de Contenidos: “…Summary -- 10 Using third-party hooks -- 10.1 Accessing state in the URL with React Router -- 10.1.1 Setting up routes to enable nesting -- 10.1.2 Adding nested routes to the Bookables page -- 10.1.3 Accessing URL parameters with the useParams hook -- 10.1.4 Navigating with the useNavigate hook -- 10.2 Getting and setting query string search parameters -- 10.2.1 Getting search parameters from the query string -- 10.2.2 Setting the query string -- 10.3 Streamlining data-fetching with React Query -- 10.3.1 Introducing React Query -- 10.3.2 Giving components access to a React Query client -- 10.3.3 Fetching data with useQuery -- 10.3.4 Accessing data in the query cache -- 10.3.5 Updating server state with useMutation -- Summary -- Part 2 -- 11 Code splitting with Suspense -- 11.1 Importing code dynamically with the import function -- 11.1.1 Setting up a web page to load JavaScript when a button is clicked -- 11.1.2 Using default and named exports -- 11.1.3 Using static imports to load JavaScript -- 11.1.4 Calling the import function to dynamically load JavaScript -- 11.2 Importing components dynamically with lazy and Suspense -- 11.2.1 Converting a component to a lazy component with the lazy function -- 11.2.2 Specifying fallback content with the Suspense component -- 11.2.3 Understanding how lazy and Suspense work together -- 11.2.4 Code splitting an app on its routes -- 11.3 Catching errors with error boundaries -- 11.3.1 Checking out the error boundary example in the React docs -- 11.3.2 Creating our own error boundary -- 11.3.3 Recovering from errors -- Summary -- 12 Integrating data fetching with Suspense -- 12.1 Data fetching with Suspense -- 12.1.1 Upgrading promises to include their status -- 12.1.2 Using the promise status to integrate with Suspense -- 12.1.3 Fetching data as early as possible -- 12.1.4 Fetching new data…”

Tabla de Contenidos: “…-- 8.1.1 URIs -- 8.1.2 URLs -- 8.1.3 URNs -- 8.1.4 DIDs -- 8.2 The functional level: How DIDs work -- 8.2.1 DID documents -- 8.2.2 DID methods -- 8.2.3 DID resolution -- 8.2.4 DID URLs -- 8.2.5 Comparison with the Domain Name System (DNS) -- 8.2.6 Comparison with URNs and other persistent Identifiers -- 8.2.7 Types of DIDs -- 8.3 The architectural level: Why DIDs work -- 8.3.1 The core problem of Public Key Infrastructure (PKI) -- 8.3.2 Solution 1: The conventional PKI model -- 8.3.3 Solution 2: The web-of-trust model -- 8.3.4 Solution 3: Public key-based identifiers -- 8.3.5 Solution 4: DIDs and DID documents -- 8.4 Four benefits of DIDs that go beyond PKI -- 8.4.1 Beyond PKI benefit 1: Guardianship and controllership -- 8.4.2 Beyond PKI benefit 2: Service endpoint discovery -- 8.4.3 Beyond PKI benefit 3: DID-to-DID connections -- 8.4.4 Beyond PKI benefit 4: Privacy by design at scale -- 8.5 The semantic level: What DIDs mean -- 8.5.1 The meaning of an address -- 8.5.2 DID networks and digital trust ecosystems -- 8.5.3 Why isn't a DID human-meaningful? …”

Tabla de Contenidos: “…9.6.3 Multiview Fusion -- 9.6.4 Multimodal Fusion -- 9.6.5 Multi-Focus Fusion -- 9.6.6 Multi-Temporal Fusion -- 9.7 Image Fusion Applications -- 9.7.1 Medical Image Fusion -- 9.7.2 Remote-Sensing Image Fusion -- 9.7.3 Visible-Infrared Fusion -- 9.7.4 Multi-Focus Image Fusion -- 9.8 Conclusion -- References -- Chapter 10Detecting Phishing URLs through Deep Learning Models -- 10.1 Introduction -- 10.2 DL Models Used in Cybersecurity -- 10.2.1 Convolutional Neural Network -- 10.2.2 Recurrent Neural Networks -- 10.2.3 Long Short-Term Memory -- 10.2.4 Deep Belief Networks -- 10.2.5 Multi-Layer Perceptron -- 10.2.6 Generative Adversarial Network -- 10.3 Metrics -- 10.3.1 Accuracy -- 10.3.2 Precision -- 10.3.3 Recall (Sensitivity) -- 10.3.4 F1 Score -- 10.3.5 Confusion Matrix -- 10.4 Application of Deep Learning in Cybersecurity Use Cases -- 10.4.1 Intrusion Detection System -- 10.4.2 Malware Detection -- 10.4.3 Botnet Detection -- 10.4.4 Network Traffic Identification -- 10.4.5 Credit Card Fraud Detection -- 10.5 Existing Work Related to Phishing URL Detection Using DL Models -- 10.6 Conclusion -- References -- Chapter 11 Augmenting Multimedia Analysis: A Fusion of Deep Learning with Differential Privacy -- 11.1 Introduction -- 11.2 Multimedia Data and Crowdsensing Privacy Concerns -- 11.3 Deep Learning and Privacy Risks -- 11.3.1 Privacy Attacks in Deep Learning Pipeline -- 11.4 Algorithms for Preserving Privacy -- 11.5 The Differential Privacy Distributions -- 11.6 How Differential Privacy Fuses With Deep Learning -- 11.7 Methodology: Exploring the Intersection of Multimedia Data With Deep Learning and Privacy in Literature -- 11.7.1 Preserving-Privacy Image Analysis -- 11.7.2 Preserving-Privacy Video Analysis -- 11.7.3 Preserving-Privacy With Other Methods -- 11.8 Discussion -- 11.9 Conclusion -- References…”