Tabla de Contenidos: “…Measuring creative thinking in the PISA test: task design and scoring approach -- The competency model of creative thinking -- Generate diverse ideas -- Generate creative ideas -- Evaluate and improve ideas -- Domains of creative thinking -- Written expression -- Visual expression -- Social problem solving -- Scientific problem solving -- Scoring the tasks -- Scoring of 'generate diverse ideas' items -- Scoring of 'generate creative ideas' items -- Scoring of 'evaluate and improve ideas' items -- Assembling the test -- Test and unit design -- Refining the item pool for the PISA 2022 Main Survey -- Validating the tasks and scoring methods -- Optimising cross-cultural validity and comparability of the construct (construct equivalence) -- Ensuring cross-cultural validity and comparability of the tasks (test equivalence) -- The PISA background questionnaires for creative thinking -- Curiosity and exploration -- Creative self-efficacy -- Beliefs about creativity -- Creative activities in the classroom and at school -- Social environment -- References -- Notes -- 5 PISA 2022 Context Questionnaire Framework: Balancing Trends and Innovation -- Glossary -- Introduction -- Aims of the PISA Questionnaires -- Outline of the PISA 2022 Context Questionnaire Framework -- Balancing re-administration of questions from previous cycles with new development -- Guidelines for re-administration of questions from previous years -- Guidelines for new development -- PISA 2022 Context Questionnaire Framework taxonomy -- Classification based on relationships to PISA content domains -- Domain-specific constructs -- General constructs -- Classification based on Educational Policy Areas -- Student background -- Student beliefs, attitudes, feelings, and behaviours -- Teaching practices and learning opportunities -- School practices, policies, and infrastructure…”

Tabla de Contenidos: “…Designing the application's local logic -- Creating a flow diagram with ChatGPT -- Building a device hardware prototype -- Instructing ChatGPT to generate C++ code -- Code examples -- Using PlatformIO to program code on the ESP32 -- Summary -- Chapter 12: Establishing Wi-Fi Connectivity -- Designing Wi-Fi access logic -- Creating the Wi-Fi access flow diagram -- Instructing ChatGPT to generate code -- Code examples -- Validating internet access on ESP32 -- Summary -- Chapter 13: Connecting the ESP32 to AWS IoT Core -- Technical requirements -- Understanding the approach to connect the ESP32 to AWS IoT Core -- Provisioning the ESP32 in AWS IoT Core -- Creating an AWS credential header file on the ESP32 -- Instructing ChatGPT to produce TLS code on the ESP32 -- Code examples -- Validating access status on the ESP32 -- Summary -- Chapter 14: Publishing Sensor Data to AWS IoT Core -- Technical requirements -- Sending sensor data through MQTT Publish -- Constructing an MQTT Publish topic and payload in ESP32 -- Code examples -- Validating the delivered sensor data -- Summary -- Chapter 15: Processing, Storing, and Querying Sensor Data on AWS Cloud -- Creating a customer-managed policy -- Task 1 - abnormal event process -- Configuration steps -- Creating a message routing rule -- Creating a Lambda function -- Creating an SNS topic -- Programming the Lambda function -- Task 2 - data storage and querying -- Creating IoT Analytics resources -- Creating a second message routing rule -- Running a data query -- Summary -- Chapter 16: Creating a Data Visualization Dashboard on ThingsBoard -- Technical requirements -- Integrating the AWS cloud with ThingsBoard -- Task 1 - Provisioning a ThingsBoard agent with AWS -- Task 2 - Creating the data converter and integrating it with ThingsBoard -- Task 3 - Producing a real-time dashboard with ThingsBoard -- Summary…”

Tabla de Contenidos: “…. -- Professionalism -- Notes -- 8 Statistical Diagnostics -- The Model Overfitting Problem -- Section 8.1 Overview of Diagnostic Techniques -- External Numbers -- Juxtaposing Results -- Data Splitting (Cross-Validation) -- Resampling Techniques with Replacement -- Standard Errors for Model-Based Group Differences: Bootstrapping to the Rescue7 by James W. …”

Tabla de Contenidos: “…Message batch -- Kafka and the sendfile operation -- Compression -- Kafka streams -- Stream processing topology -- Notion of time in stream processing -- Samza's stream processing API -- The scheduler/executor component of the streaming architecture -- Processing concepts and tradeoffs -- Processing guarantees -- Micro-batch stream processing -- Windowing -- Types of windows -- Summary -- References -- Chapter 11: Let Us Store the Data -- The data explosion problem -- Relational Database Management Systems and Big data -- Introducing Hadoop, the Big Elephant -- Apache YARN -- Hadoop Distributed Filesystem -- HDFS architecture principles (and assumptions) -- High-level architecture of HDFS -- HDFS file formats -- HBase -- Understanding the basics of HBase -- HBase data model -- HBase architecture -- Horizontal scaling with automatic sharding of HBase tables -- HMaster, region assignment, and balancing -- Components of Apache HBase architecture -- Tips for improved performance from your HBase cluster -- Graph stores -- Background of the use case -- Scenario -- Solution discussion -- Bank fraud data model (as can be designed in a property graph data store such as Neo4J) -- Semantic graph -- Linked data -- Vocabularies -- Semantic Query Language -- Inference -- Stardog -- GraphQL queries -- Gremlin -- Virtual Graphs - a Unifying DAO -- Structured data -- CVS -- BITES - Unstructured/Semistructured document store -- Structured data extraction -- Text extraction -- Document queries -- Highly-available clusters -- Guarantees -- Scaling up -- Integration with SPARQL -- Data Formats -- Data integrity and validating constraints -- Strict parsing of RDF -- Integrity Constraint Validation -- Monitoring and operation -- Performance -- Summary -- Further reading -- Chapter 12: When Data Dissemination is as Important as Data Itself -- Data dissemination…”

Tabla de Contenidos: “…Credit card number type and checksum -- CVC code validation -- Putting it all together -- Coffee break -- The abstraction level of reactive programming -- How RxJava works -- Summary -- Chapter 4. …”

Tabla de Contenidos: “…-- Feature engineering -- Transfer across tasks -- Training ML models -- Collecting and annotating data -- Designing and training an ML model -- Validating and testing an ML model -- Iterations in the ML development process -- Summary -- Chapter 2: Annotating Real Data -- Annotating data for ML -- Learning from data -- Training your ML model -- Testing your ML model -- Issues with the annotation process -- The annotation process is expensive -- The annotation process is error-prone -- The annotation process is biased -- Optical flow and depth estimation -- Ground truth generation for computer vision -- Optical flow estimation -- Depth estimation -- Summary -- Chapter 3: Privacy Issues in Real Data -- Why is privacy an issue in ML? …”

Tabla de Contenidos: “…6.3.1 Ho-Kalman Realization Algorithm -- 6.3.2 SVD Realization Algorithm -- 6.3.2.1 Realization: Linear Time‐Invariant Mechanical Systems -- 6.3.3 Canonical Realization -- 6.3.3.1 Invariant System Descriptions -- 6.3.3.2 Canonical Realization Algorithm -- 6.4 Deterministic Subspace Realization: Orthogonal Projections -- 6.4.1 Subspace Realization: Orthogonal Projections -- 6.4.2 Multivariable Output Error State‐Space (MOESP) Algorithm -- 6.5 Deterministic Subspace Realization: Oblique Projections -- 6.5.1 Subspace Realization: Oblique Projections -- 6.5.2 Numerical Algorithms for Subspace State‐Space System Identification (N4SID) Algorithm -- 6.6 Model Order Estimation and Validation -- 6.6.1 Order Estimation: SVD Approach -- 6.6.2 Model Validation -- 6.7 Case Study: Structural Vibration Response -- 6.8 Summary -- MATLAB Notes -- References -- Problems -- Chapter 7 Stochastic Subspace Identification -- 7.1 Introduction -- 7.2 Stochastic Realization Problem -- 7.2.1 Correlated Gauss-Markov Model -- 7.2.2 Gauss-Markov Power Spectrum -- 7.2.3 Gauss-Markov Measurement Covariance -- 7.2.4 Stochastic Realization Theory -- 7.3 Classical Stochastic Realization via the Riccati Equation -- 7.4 Classical Stochastic Realization via Kalman Filter -- 7.4.1 Innovations Model -- 7.4.2 Innovations Power Spectrum -- 7.4.3 Innovations Measurement Covariance -- 7.4.4 Stochastic Realization: Innovations Model -- 7.5 Stochastic Subspace Realization: Orthogonal Projections -- 7.5.1 Multivariable Output Error State‐SPace (MOESP) Algorithm -- 7.6 Stochastic Subspace Realization: Oblique Projections -- 7.6.1 Numerical Algorithms for Subspace State‐Space System Identification (N4SID) Algorithm -- 7.6.2 Relationship: Oblique (N4SID) and Orthogonal (MOESP) Algorithms -- 7.7 Model Order Estimation and Validation -- 7.7.1 Order Estimation: Stochastic Realization Problem…”

Tabla de Contenidos: “…7.3 Create business objects -- 7.3.1 DB2 application-specific business object -- 7.3.2 WebSphere MQ Workflow application-specific business object -- 7.3.3 Generic business object -- 7.4 Create maps -- 7.4.1 From ASBO MQWF_Order_Form to GBO Order -- 7.4.2 From the GBO Order to the ASBO JDBC_ORDERS -- 7.4.3 From ASBO JDBC_ORDERS to GBO Order -- 7.4.4 From GBO Order to ASBO MQWF_Form_OrderDetail -- 7.5 Adapter configuration -- 7.5.1 Importing the adapters in System Manager -- 7.5.2 WebSphere MQ Workflow adapter configuration -- 7.5.3 JDBC adapter configuration -- 7.6 Configure meta-objects for the data handler -- 7.7 Collaboration template -- 7.8 Collaboration object -- 7.9 Create a new user project -- 7.10 Deploy user project -- 7.11 Runtime validation of infrastructure -- 7.12 Runtime validation of application -- 7.12.1 Using the Visual Test Connector -- 7.12.2 Using the WebSphere MQ Workflow Web client -- Chapter 8. …”

“…This guide for actors and directors develops a valid method for training performers to act from their core--whether they are cold reading, auditioning, or performing for film or television. …”

Tabla de Contenidos: “…Intro -- Praise -- Series -- Title page -- Copyright -- Foreword -- Preface -- Chapter 1 Fundamental Considerations in Business Forecasting -- 1.1 Getting Real about Uncertainty -- 1.2 What Demand Planners Can Learn from the Stock Market -- 1.3 Toward a More Precise Definition of Forecastability -- 1.4 Forecastablity: A New Method for Benchmarking and Driving Improvement -- 1.5 Forecast Errors and Their Avoidability -- 1.6 The Perils of Benchmarking -- 1.7 Can We Obtain Valid Benchmarks from Published Surveys of Forecast Accuracy? …”

Tabla de Contenidos: “…4.2.4 -- Resolving Conflicts, Abolishing Wars and Cultivating Peace4.3 -- Selected suggestions from recent times; 4.3.1 -- Basic Income; 4.3.2 -- Decentralization, Globalization and Continued Education; 4.3.3 -- Financial and Legal Setup; 4.3.4 -- Implementing Change in the Past; References; Chapter 5 -- Implementation of Sustainable Solutions; 5.1 -- On the global level, including those aspect that are valid on all levels; 5.2 -- On the regional level; 5.3 -- On the local level; 5.4 -- It can be done!…”

Tabla de Contenidos: “…Contents at a Glance; Contents; About the Authors; About the Technical Reviewer; Acknowledgments; Introduction; Chapter 1: Bower; Getting Started; Configuring Bower; The Manifest; Creating a New Manifest; Finding, Adding, and Removing Bower Packages; Finding Packages ; Adding Packages ; Development Dependencies; Removing Packages; Semantic Versioning; Managing the Dependency Chain; Creating Bower Packages; Choose a Valid Name; Use Semver Git Tags ; Publish Your Package to the Registry; Summary; Chapter 2: Grunt; Installing Grunt ; How Grunt Works; Gruntfile.js ; Tasks…”

Tabla de Contenidos: “…; Keep the Faith; Paying Attention to What's Out There; Not All Information Is Valid; Think Before You Click; Reading URLs; Faking sites with URLs; Privacy; Expectations and Reality; Who Has Ownership?…”

“…This book explains the principles of knowledge structuration to ensure a valid BN and DBN model and illustrate the flexibility and efficiency of these representations in dependability, risk analysis and control of multi-state systems and dynamic systems. …”

Tabla de Contenidos: “…Focusing on Specific Data Using Filters; Manipulating List Data; Defining Valid Sets of Values for Ranges of Cells…”

Tabla de Contenidos: “…The Java Programming LanguageThe Java Virtual Machine; The Java Platform; Versions of Java; Key Benefits of Java; Write Once, Run Anywhere; Security; Network-Centric Programming; Dynamic, Extensible Programs; Internationalization; Performance; Programmer Efficiency and Time-to-Market; An Example Program; Compiling and Running the Program; Analyzing the Program; Comments; Defining a class; Defining a method; Declaring a variable and parsing input; Computing the result; Displaying output; The end of a method; Blank lines; Another method; Checking for valid input; An important variable…”

Tabla de Contenidos: “…XML's HeritageXML Document Rules; An XML document must be contained in a single element; All elements must be nested; All attributes must be quoted; XML tags are case-sensitive; All end tags are required; Empty tags can contain the end marker; XML declarations; Document Type Definitions (DTDs) and XML Schemas; Well-formed versus valid documents; Tags versus elements; Namespaces; [2.0] Datatypes; Programming Interfaces for XML: DOM, SAX, and Others; DOM; SAX; Other programming interfaces; XSLT Standards; XSL transformations (XSLT) version 1.0; XML path language (XPath) version 1.0…”

Tabla de Contenidos: “…Focusing on Specific Data Using Filters; Performing Calculations on Filtered Data; Defining a Valid Set of Values for a Range of Cells; 6. Combining Data from Multiple Sources; Working with More Than One Set of Data; Linking to Data in Other Workbooks; Summarizing Multiple Sets of Data; Grouping Multiple Data Lists; 7. …”

Tabla de Contenidos: “…Force loggingTime for action - enabling force logging; Standby redo logs; Time for action - configuring standby redo logs on primary; Fast recovery area (FRA); Time for action - enabling FRA; Understanding initialization parameters; DB_NAME; DB_UNIQUE_NAME; LOG_ARCHIVE_CONFIG; LOG_ARCHIVE_MAX_PROCESSES; LOG_ARCHIVE_DEST_n; LOCATION and SERVICE; VALID_FOR; SYNC and ASYNC; AFFIRM and NOAFFIRM; COMPRESSION; MAX_CONNECTIONS; MAX_FAILURE; REOPEN; NET_TIMEOUT; DELAY; LOG_ARCHIVE_DEST_STATE_n; Creating the physical standby database; Standby database-related initialization parameters; FAL_SERVER…”

Tabla de Contenidos: “…; Creating a String Literal; Commenting Code; Gluing Strings Together with the + Operator; Creating a Number Literal; Creating a Boolean Literal; Naming a Value with an Identifier; Can I Name a Variable Anything I Want?; Some Valid Identifiers Are Already Taken; Creating an Object Literal; Naming Members with Identifiers…”