Tabla de Contenidos: “…Restoring the Vuex state on the client -- Webpack configuration -- Client configuration -- Server configuration -- Server-side setup -- Page template -- Express server -- Creating and updating the renderer -- Rendering the Vue app -- Running our SSR app -- Unnecessary fetch -- Production build -- Additional configuration -- Extracting the style into CSS files -- Production express server -- New npm scripts -- Summary -- Chapter 8: Project 6 - Real-time Dashboard with Meteor -- Setting up the project -- What is Meteor? …”

Tabla de Contenidos: “…3.2 Microbial Systems for Biofuels and Chemicals Production -- 3.2.1 Microbial Systems for Genetic Engineering and Cellular Fabrication -- 3.2.2 Engineering of Microbial Cell Systems for Biofuels Production -- 3.2.2.1 Alcohols -- 3.2.3 Engineering of Microbial Cell Systems for Chemical Synthesis -- 3.2.3.1 Organic Acids -- 3.2.3.2 Fatty Alcohols -- 3.2.3.3 Bioplastic -- 3.3 Conclusions -- References -- Chapter 4 Production of Biomethane and Its Perspective Conversion: An Overview -- 4.1 Introduction -- 4.1.1 Sources of Methane -- 4.1.2 Methane from Human Activity -- 4.1.3 Impact of Methane on Climatic Change and Future -- 4.1.4 Advancements and Challenges -- References -- Chapter 5 Microalgal Biomass Synthesized Biodiesel: A Viable Option to Conventional Fuel Energy in Biorefinery -- 5.1 Introduction -- 5.2 Diesel -- 5.2.1 Biodiesel -- 5.3 Production of Biodiesel -- 5.3.1 Origin of Biofuels -- 5.3.2 Biodiesel Production from Algae -- 5.3.3 Intensity of Radiant Light -- 5.3.4 Lipid Content -- 5.3.5 Biomass Culturing Conditions -- 5.3.5.1 Temperature of Cultivation -- 5.3.5.2 pH of Cultivation -- 5.3.5.3 Duration Period of Light of Cultivation -- 5.3.5.4 Carbon Uptake of Cultivation -- 5.3.5.5 Oxygen Generation in Cultivation -- 5.3.5.6 Mixing Rates of Cultivation -- 5.3.5.7 Nutrient Uptake of Cultivation -- 5.4 Harvesting of Microalgae -- 5.4.1 Extraction of Oil -- 5.4.1.1 Varying n-Hexane to Algae Ratio -- 5.4.1.2 Varying the Algal Biomass Size -- 5.4.1.3 Varying Contact Time between n-Hexane and Algae Biomass -- 5.4.2 Transesterification -- 5.5 Conclusion -- Abbreviations -- References -- Chapter 6 Algae Biofuel Production Techniques: Recent Advancements -- 6.1 Introduction -- 6.2 Technologies for Conversion if Algal Biofuels -- 6.2.1 Thermochemical Conversion of Microalgae Biomass into Biofuel -- 6.2.1.1 Gasification…”

Tabla de Contenidos: “…Using the distribution of the evaluations -- 7.2.5. Extracting a "dramatic" image from a panorama: the Creatism system -- 7.3. …”

Tabla de Contenidos: “…Properties of indefinite integrals -- Integration by parts -- Definite integrals -- Working with calculus in R -- Plotting basic functions -- Working with derivatives -- Using symbolic parameters -- Working with the second derivative -- Working with partial derivatives -- Working with integration in R -- More on antiderivatives -- Evaluating the definite integral -- Summary -- Part 3: Fundamentals of Mathematical Statistics in R -- Chapter 10: Probability Basics -- Technical requirements -- Introducing probability distribution -- Exploring common discrete probability distributions -- The Bernoulli distribution -- The binomial distribution -- The Poisson distribution -- Poisson approximation to binomial distribution -- The geometric distribution -- Comparing different discrete probability distributions -- Discovering common continuous probability distributions -- The normal distribution -- The exponential distribution -- Uniform distribution -- Generating normally distributed random samples -- Understanding common sampling distributions -- Common sampling distributions -- Understanding order statistics -- Extracting order statistics -- Calculating the value at risk -- Summary -- Chapter 11: Statistical Estimation -- Statistical inference for categorical data -- Statistical inference for a single parameter -- Introducing the General Social Survey dataset -- Calculating the sample proportion -- Calculating the confidence interval -- Interpreting the confidence interval of the sample proportion -- Hypothesis testing for the sample proportion -- Inference for the difference in sample proportions -- Type I and Type II errors -- Testing the independence of two categorical variables -- Introducing the contingency table -- Applying the chi-square test for independence between two categorical variables -- Statistical inference for numerical data…”

Tabla de Contenidos: “…3.5.4 Machine learning approaches -- 3.5.5 Pathway-based approaches -- 3.5.6 Artificial neuronal network approaches -- 3.5.7 Deep learning machine approaches -- 3.5.8 Network modeling approach -- 3.5.8.1 Autoencoder approaches -- 3.5.8.2 Text mining approaches -- 3.6 Artificial intelligence algorithms for drug repurposing -- 3.7 Computational intelligence-based approaches to identify therapeutic candidates for repurposing against coronavirus -- 3.7.1 Network-based model -- 3.7.2 Structure-based approaches -- 3.7.3 Artificial intelligence approaches -- 3.8 Challenges in drug repurposing -- 3.9 Future perspectives of artificial intelligence-informed drug repurposing -- 3.10 Conclusion -- References -- 4 COVID-19: artificial intelligence solutions, prediction with country cluster analysis, and time-series forecasting -- 4.1 Introduction -- 4.1.1 Motivation for this study -- 4.1.2 Adverse impacts of COVID-19 outbreak -- 4.1.3 Chapter organization -- 4.1.4 Table of acronyms used in this chapter -- 4.2 Review of literature on COVID-19 pandemic -- 4.3 K-means clustering for COVID-19 country analysis -- 4.3.1 Cluster analysis: an overview -- 4.3.2 Dataset selection and preprocessing -- 4.3.3 Findings from COVID-19 country cluster data analysis -- 4.3.4 The results and discussions -- 4.4 Time-series modeling for COVID-19 new cases -- 4.4.1 Time-series modeling: an overview -- 4.4.2 Dataset description -- 4.4.3 Time-series exploration -- 4.4.4 Predictive analytics -- 4.5 Conclusion -- References -- Further reading -- 5 Graph convolutional networks for pain detection via telehealth -- 5.1 Introduction -- 5.2 Methodology -- 5.2.1 Features extraction -- 5.2.2 Graph-based modules -- 5.2.3 Frame-wise weight calculation -- 5.2.4 Classification -- 5.3 Experiments -- 5.3.1 Datasets -- 5.3.2 Experimental setting -- 5.4 Results and discussion -- 5.5 Conclusion…”

Tabla de Contenidos: “…Performing date, time, and duration calculations with date and time expressions -- Extracting components of a datetime value -- Performing duration calculations -- Understanding week-based calculation functions -- Calculating duration in decimal value results -- Performing record-level operations with table functions and expressions -- Understanding the difference between column- and row-level functions -- Understanding important miscellaneous functions -- Using functions related to the app user -- Using the CONTEXT() functions -- Using the TEXT() function -- Using multiple functions in single expressions -- Summary -- Chapter 5: Manipulating Data with Behaviors and Actions -- Technical requirements -- Understanding actions and action types -- What are actions? …”

Tabla de Contenidos: “…-- Port scanning issues -- Scanning countermeasures -- Introducing the Nmap network scanning tool -- Controlling Nmap scan speeds -- Outputting results -- The NSE -- The Nmap GUI -- Mapping the network -- Lab - Scanning and enumeration -- Summary -- Assessment -- Answer -- Chapter 4: Ethical Hacking Vulnerability Assessments and Threat Modeling -- Vulnerability assessment concepts -- Explaining vulnerability assessments -- Types of vulnerability assessments -- Vulnerability assessment life cycle -- Vulnerability scanning tools -- Introducing the Nessus vulnerability scanner -- Best practices for vulnerability assessments -- Vulnerability assessment reports -- The elements of threat modeling -- The finding -- The kill chain -- The single asset value -- The organizational asset value -- The estimated risk -- Threat modeling frameworks -- STRIDE -- PASTA -- VAST -- Attack trees -- CVSS -- Threat modeling tools -- Threat forecasting -- Phase 1 - Research -- Phase 2 - Implementation and analysis -- Phase 3 - Information sharing and building -- Threat model lab - personal computer security -- Summary -- Assessment -- Answer -- Part 2: Hacking Tools and Techniques -- Chapter 5: Hacking the Windows Operating System -- Technical requirements -- Exploiting the Windows OS -- Exploiting Windows device drivers -- Exploiting Windows networking -- Address Resolution Protocol -- Simple network management protocol -- Server Message Block -- NetBIOS -- Exploiting Windows authentication -- User authentication and movement -- Obtaining and extracting passwords -- Exploring password-cracking techniques -- Authentication spoofing -- Pulling Windows account names via null sessions -- Tools for pulling account names via null sessions -- Privilege elevation…”

Tabla de Contenidos: “…Autoanticuerpos -- ANTICUERPOS ANTINUCLEARES -- ANTICUERPOS ANTI-DNA -- ANTICUERPOS CONTRA ANTÍGENOS EXTRACTABLES DEL NÚCLEO -- ANTICUERPOS ANTIFOSFOLÍPIDOS -- FACTOR REUMATOIDE -- ANTICUERPOS ANTICITRULINA -- ANTICUERPOS CONTRA CITOPLASMA DE NEUTRÓFILOS -- ANTICUERPOS EN ESCLERODERMIA -- OTROS AUTOANTICUERPOS -- BIBLIOGRAFÍA -- IMAGENES Y FOTOGRAFIAS -- 8. …”

Tabla de Contenidos: “…. -- Cause Related Marketing -- Caux Round Table Principles -- Centre for Corporate Governance (Nairobi) -- CERES -- CH2 Building, Melbourne -- Chapman Report (2006) (Australia) -- Cheating -- Chief Executive Officer -- Chief Sustainability Officer -- Christianity and CSR -- Christine Parker -- Civil Regulation -- Climate Change -- Clinton Global Initiative -- Club of Rome -- Co-determination -- Co-operation -- Co-ownership -- Coalation of Environmentally -- Responsible Economies -- Code of 'best practice' and norms of behavior -- Colin Scott -- Collaborative Advantage -- Collective bargaining/trade unions -- Combined Assurance -- Combined Code (June 2008) -- Command and Control -- Commonwealth Association of CG -- Communicating with Stakeholders -- Communities of Practice -- Community -- Community activism -- Community of practice -- Community outrage -- Community relations -- Company Directors and CSR -- Competition -- Competitive advantage -- Compliance/Legal Compliance -- Compliant Finance -- Comply-or-explain -- Comprehensive Environmental Responses , Compensation and Liability Act -- Confucian Ethics -- Consumer Driven Corporate Responsibility -- Consumerism Consumers' protection -- Core Principles of CSR Approaches Corporate -- Corporate Activism -- Corporate Citizenship -- Corporate codes of conduct -- Corporate giving -- Corporate Governance -- Corporate Governance as a Tool for Alleviating -- Developmental Issues -- Corporate Governance Reporting -- Corporate killing -- Corporate manslaughter -- Corporate Mission, Vision and Values -- Corporate moral agency -- Corporate negligence -- Corporate outrage -- Corporate Political Connection -- Corporate Reputation -- Corporate Responsibility Index -- Corporate Responsibiliy Maturity -- Corporate Secretaries -- Corporate Social Entrepreneurship -- Corporate Social innovation -- Corporate Social -- Irresponsibility -- Corporate Social Marketing -- Corporate Social Opportunity -- Corporate Social Performance -- Corporate Social Performance Measurement -- Corporate social responsibility -- Corporate Social Responsibility Report -- Corporate Social Responsibility Strategy -- Corporate social responsiveness (Carroll, Frederick and Ackerman) -- Corporate Strategy -- Corporate Sustainability -- Corporation as Psychopath -- Corporatism -- Corruption and National Development -- Cost-benefit analysis -- Cradle to cradle -- Cradle to grave -- Critical reflection in corporate management -- Critiques of Corporate Social Responsibility -- Cross-cultural attitudes to CSR -- CSR and Africa -- CSR and Catholic Social Teaching -- CSR and Corruption -- CSR and Poverty -- CSR and Spirituality -- CSR Butterfly effect -- CSR Communication -- CSR Continuum - core business to broader goals -- CSR Europe -- CSR Evolutionary Journey - CSR Journey, CSR Organisational Evolutions -- CSR Frameworks -- CSR Innovation -- CSR Lifecycle -- CSR Measurement -- CSR: Australian Standard AS8003 [world first] -- CSRwire -- Cultural differences in values/ethics and decision-making -- Culture and Organization Performance -- Cultures, businesses, and global CSR -- Customer value creation -- Dame Anita Roddick -- Data protection -- David Henderson -- Decent work -- Definitions of social responsibility -- Deming 14 points model -- Demographic change -- Design for Environment (sep entry Hannover Principles) -- Development -- Dialogue -- Director Competencies and Skills -- Director Interlocks -- Director Role Position Description -- Disability -- Disclosure (CSR reporting) -- Discrimination -- Distributive Justice -- Diversity -- Dividend -- Dow Jones Sustainability Index -- Downsizing -- Due Diligence -- Duties of employees (comlpy with contract, comply with law, respect employers property) -- E-Waste -- Earth Summitt (separate entry on Rio declaration and on Agenda 21) -- Earthscan (publisher) -- EC Non-Discrimination Law -- Eco-Efficiency -- Eco-innovation -- Ecolabel -- Ecological economics -- Ecological footprint -- Ecology (separate entries on human and industrial) -- Econology -- Economic Globalization -- Economic sociology -- Economic Sociology of the CSR Movement -- Ecopreneurship -- Ecosystem -- Ecotoxity -- Education -- Elkington, John -- Embedded CSR -- Emissions trading -- Employability -- Employee participation/'ownership -- Employee Surveillance -- Employee volunteer programmes -- Employers' Forum on Age -- Employers' Forum on Disability -- EMS -- Endemic -- Energy Biofuels -- Energy—renewable -- Energy-solar -- Engagement/Stakeholder Engagement -- Enlightened Self-Interest -- Enron -- Environmental Accounting -- Environmental Audit -- Environmental ethics -- Environmental governance -- Environmental impact assessment -- Environmental law -- Environmental Management System -- Environmental protection agencies (all countries) -- Environmental Report Verification -- Environmental sustainability index (World economic forum) -- Environmental, Social and Governance Factors in Investment -- Environmental, Social and Governance Risk -- Environmentally Sensitive Accounting -- Equal Opportunity -- Equal Pay -- Equator Principles -- Ethic of responsibility to other stakeholders -- Ethical absolutism v. ethical relativism -- Ethical Corporation -- Ethical CSR -- Ethical Egoism & CSR -- Ethical problems in financial markets -- Ethical Theories -- Ethical Trading Initiative -- European Corporate Governance Institute -- European Multistakeholder Forum -- European Union Directive - The 8th Company Law Directive on Disclosure & Transparency -- European Urban Charter 1992 and 1998 -- Evolution of Corporate Governance Reports in the UK and Ireland -- Executive remuneration and CSR -- Externalities -- Externally Driven Business Case (EDBC) -- Extractive Industries Transparency Initiative (EITI) -- Exxon Mobil -- Exxon Valdez -- Factor 4 / Factor 10 -- Fair Pensions -- Fair Trade -- Fair wages -- Family Business and Corporate Social Responsibility -- Fiduciary duty -- Filial Piety & CSR -- Financial Regulations -- Financial Reporting Council (UK) -- Five Capitals Framework (Forum for the Future) -- Forest Stewardship Council -- Fortune at the bottom of the pyramid (Prahalad) -- Franchising Fraud prevention, detection and auditing -- Free range/cage-free/crate free/ethically raised -- Freedom of conscience -- Freedom of speech -- Friedman, Milton -- FTSE4Good Index -- G20.…”

Tabla de Contenidos: “…12 ADVANCES IN DATA MINING 328 -- 12.1 Graph Mining 329 -- 12.2 Temporal Data Mining 343 -- 12.3 Spatial Data Mining (SDM) 357 -- 12.4 Distributed Data Mining (DDM) 360 -- 12.5 Correlation Does Not Imply Causality 369 -- 12.6 Privacy, Security, and Legal Aspects of Data Mining 376 -- 12.7 Review Questions and Problems 381 -- 12.8 References for Further Study 382 -- 13 GENETIC ALGORITHMS 385 -- 13.1 Fundamentals of GAs 386 -- 13.2 Optimization Using GAs 388 -- 13.3 A Simple Illustration of a GA 394 -- 13.4 Schemata 399 -- 13.5 TSP 402 -- 13.6 Machine Learning Using GAs 404 -- 13.7 GAs for Clustering 409 -- 13.8 Review Questions and Problems 411 -- 13.9 References for Further Study 413 -- 14 FUZZY SETS AND FUZZY LOGIC 414 -- 14.1 Fuzzy Sets 415 -- 14.2 Fuzzy-Set Operations 420 -- 14.3 Extension Principle and Fuzzy Relations 425 -- 14.4 Fuzzy Logic and Fuzzy Inference Systems 429 -- 14.5 Multifactorial Evaluation 433 -- 14.6 Extracting Fuzzy Models from Data 436 -- 14.7 Data Mining and Fuzzy Sets 441 -- 14.8 Review Questions and Problems 443 -- 14.9 References for Further Study 445 -- 15 VISUALIZATION METHODS 447 -- 15.1 Perception and Visualization 448 -- 15.2 Scientifi c Visualization and -- Information Visualization 449 -- 15.3 Parallel Coordinates 455 -- 15.4 Radial Visualization 458 -- 15.5 Visualization Using Self-Organizing Maps (SOMs) 460 -- 15.6 Visualization Systems for Data Mining 462 -- 15.7 Review Questions and Problems 467 -- 15.8 References for Further Study 468 -- Appendix A 470 -- A.1 Data-Mining Journals 470 -- A.2 Data-Mining Conferences 473 -- A.3 Data-Mining Forums/Blogs 477 -- A.4 Data Sets 478 -- A.5 Comercially and Publicly Available Tools 480 -- A.6 Web Site Links 489 -- Appendix B: Data-Mining Applications 496 -- B.1 Data Mining for Financial Data Analysis 496 -- B.2 Data Mining for the Telecomunications Industry 499 -- B.3 Data Mining for the Retail Industry 501 -- B.4 Data Mining in Health Care and Biomedical Research 503 -- B.5 Data Mining in Science and Engineering 506.…”

Tabla de Contenidos: “…Performing Functional Data Manipulation -- Slicing and dicing -- Mapping your data -- Filtering data -- Organizing data -- Chapter 3 Working with Scalars, Vectors, and Matrices -- Considering the Data Forms -- Defining Data Type through Scalars -- Creating Organized Data with Vectors -- Defining a vector -- Creating vectors of a specific type -- Performing math on vectors -- Performing logical and comparison tasks on vectors -- Multiplying vectors -- Creating and Using Matrices -- Creating a matrix -- Creating matrices of a specific type -- Using the matrix class -- Performing matrix multiplication -- Executing advanced matrix operations -- Extending Analysis to Tensors -- Using Vectorization Effectively -- Selecting and Shaping Data -- Slicing rows -- Slicing columns -- Dicing -- Concatenating -- Aggregating -- Working with Trees -- Understanding the basics of trees -- Building a tree -- Representing Relations in a Graph -- Going beyond trees -- Arranging graphs -- Chapter 4 Accessing Data in Files -- Understanding Flat File Data Sources -- Working with Positional Data Files -- Accessing Data in CSV Files -- Working with a simple CSV file -- Making use of header information -- Moving On to XML Files -- Working with a simple XML file -- Parsing XML -- Using XPath for data extraction -- Considering Other Flat-File Data Sources -- Working with Nontext Data -- Downloading Online Datasets -- Working with package datasets -- Using public domain datasets -- Chapter 5 Working with a Relational DBMS -- Considering RDBMS Issues -- Defining the use of tables -- Understanding keys and indexes -- Using local versus online databases -- Working in read-only mode -- Accessing the RDBMS Data -- Using the SQL language -- Relying on scripts -- Relying on views -- Relying on functions -- Creating a Dataset -- Combining data from multiple tables…”

Tabla de Contenidos: “…Code injection fundamentals - fine-tuning with BDF -- Trojan engineering with BDF and IDA -- Summary -- Questions -- Further reading -- Chapter 11: Bypassing Protections with ROP -- Technical requirements -- DEP and ASLR - the intentional and the unavoidable -- Understanding DEP -- Understanding ASLR -- Testing DEP protection with WinDbg -- Demonstrating ASLR on Kali Linux with C -- Introducing return-oriented programming -- Borrowing chunks and returning to libc - turning the code against itself -- The basic unit of ROP - gadgets -- Getting cozy with our tools - MSFrop and ROPgadget -- Metasploit Framework's ROP tool - MSFrop -- Your sophisticated ROP lab - ROPgadget -- Creating our vulnerable C program without disabling protections -- No PIE for you - compiling your vulnerable executable without ASLR hardening -- Generating a ROP chain -- Getting hands-on with the return-to-PLT attack -- Extracting gadget information for building your payload -- Finding the .bss address -- Finding a pop pop ret structure -- Finding addresses for system@plt and strcpy@plt functions -- Finding target characters in memory with ROPgadget and Python -- Go, go, gadget ROP chain - bringing it together for the exploit -- Finding the offset to return with gdb -- Writing the Python exploit -- Summary -- Questions -- Further reading -- Chapter 12: Fuzzing Techniques -- Technical requirements -- Network fuzzing - mutation fuzzing with Taof proxying -- Configuring the Taof proxy to target the remote service -- Fuzzing by proxy - generating legitimate traffic -- Hands-on fuzzing with Kali and Python -- Picking up where Taof left off with Python - fuzzing the vulnerable FTP server -- The other side - fuzzing a vulnerable FTP client -- Writing a bare-bones FTP fuzzer service in Python -- Crashing the target with the Python fuzzer -- Fuzzy registers - the low-level perspective…”

Tabla de Contenidos: “…-- Convolutions in three dimensions -- A layer of convolutions -- Benefits of convolutional layers -- Parameter sharing -- Local connectivity -- Pooling layers -- Batch normalization -- Training a convolutional neural network in Keras -- Input -- Output -- Cost function and metrics -- Convolutional layers -- Fully connected layers -- Multi-GPU models in Keras -- Training -- Using data augmentation -- The Keras ImageDataGenerator -- Training with a generator -- Summary -- Chapter 8: Transfer Learning with Pretrained CNNs -- Overview of transfer learning -- When transfer learning should be used -- Limited data -- Common problem domains -- The impact of source/target volume and similarity -- More data is always beneficial -- Source/target domain similarity -- Transfer learning in Keras -- Target domain overview -- Source domain overview -- Source network architecture -- Transfer network architecture -- Data preparation -- Data input -- Training (feature extraction) -- Training (fine-tuning) -- Summary -- Chapter 9: Training an RNN from scratch -- Introducing recurrent neural networks -- What makes a neuron recurrent? …”

Tabla de Contenidos: “…Chapter 3: Best Practices for Building Selenium Page Object Classes -- Introduction -- What you will learn -- Best practices for naming conventions, comments, and folder structures -- Naming conventions -- Comments -- Folder names and structures -- Designing and building the abstract base classes for the AUT -- The abstract class -- Abstract methods -- Common locators -- Common methods -- Wrap up on base classes -- Designing and building subclasses for feature-specific pages using inheritance techniques -- Encapsulation and using getter/setter methods to retrieve objects from the page object classes -- Exception handling and synchronization in page object class methods -- Implicit exception handling -- TestNG difference viewer -- Explicit exception handling -- Try...catch exception handling -- Synchronizing methods -- Table classes -- Summary -- Chapter 4: Defining WebDriver and AppiumDriver Page Object Elements -- Introduction -- Inspecting page elements on browser applications -- Types of locators -- Inheriting WebElements -- Inspecting WebElements -- Third-party plugins/tools -- Inspection of page elements on mobile applications -- Appium inspector -- Inspecting mobile elements -- Standards for using static locators -- Rules for using standard locators -- Simple locators -- CSS locators -- XPath query locators -- Referencing static elements in methods -- Retrieving static elements from other classes -- Standards for using dynamic locators -- Single attribute XPath versus CSS locators -- WebElements -- MobileElements -- Multiple attribute XPath versus CSS locators -- Using dynamic locators in methods -- Summary -- Chapter 5: Building a JSON Data Provider -- Introduction -- What you will learn -- The TestNG Data Provider class -- The @DataProvider annotation -- The @Test annotation -- Extracting JSON data into Java objects -- Filtering test data…”

Tabla de Contenidos: “…Enabling/disabling column resizing -- Filtering data from a table -- Implementing pagination -- Working with dialogs -- Using the dialog component -- Opening and closing the dialog on an action -- Implementing the logic to delete a user -- Working with checkboxes -- Creating a checkbox with static data -- Creating a checkbox with dynamic data -- Working with List View -- Showing data in the Card Layout view -- Working with visualization components -- Creating a bar chart -- Creating a pie chart -- Creating an area chart -- Summary -- Further reading -- Questions -- Chapter 9: Extending Oracle and Non-Oracle SaaS Applications -- Technical requirements -- Extending a Salesforce application -- Pre-requisites for extending the Salesforce app -- Creating a Service Connection -- Listing and creating accounts -- Listing opportunities -- Creating opportunities -- Extending an Oracle Cloud application -- Adding an accounts REST endpoint -- Listing and updating the accounts -- Adding nomination functionality -- Creating a multilingual application -- Configuring an application to set the selected language locale -- Generating translatable strings -- Downloading and uploading the bundle -- Adding a language switcher -- Summary -- Questions -- Chapter 10: Working with Business Processes -- Technical requirements -- Adding the Process backend -- Registering the business processes -- Initiating the process from the VB application -- Managing process tasks -- Extracting the data object -- Configuring a connection to a process server -- Summary -- Further reading -- Questions -- Chapter 11: Building a Mobile Application with Live Examples -- Technical requirements -- Developing a mobile application -- Developing a doctor's appointment mobile application -- Booking an appointment -- Listing the appointments -- Configuring mobile application settings…”