Tabla de Contenidos: “…Reordering your slide layouts -- Renaming your template to avoid Office Theme labeling -- Using the Hide Background Graphics feature -- Using a Microsoft stock image with a picture placeholder -- Retrieving missing footer placeholders -- Using the lock feature for placeholders or objects -- Summary -- Further reading -- Chapter 4: Using PowerPoint's Document Masters for Accessible Handouts and Notes -- Technical requirements -- Configuring the Handout Master for a simple document -- Adding graphic elements to your Handout Master -- Adding your header and footer content -- Configuring the Notes Master for a complete handout -- Customizing your Notes Master -- Adapting your presentation file for a handout and delivery notes -- Making your presentations accessible -- Printing your documents -- Troubleshooting text contrast in grayscale -- Exporting your document as a .pdf file -- Summary -- Further reading -- Chapter 5: Using Artificial Intelligence to Improve Your Visuals -- Technical requirements -- Creating great image layouts with Designer -- Setting up Designer -- Using Designer with images -- Using Designer to create visual lists and timelines -- Design ideas from a list -- Design ideas from dates -- Using Designer ideas to start a presentation theme from scratch -- Bringing perspective to your data with Designer -- Summary -- Further reading -- Chapter 6: Adding and Modifying Visual Elements -- Technical requirements -- Inserting and modifying a map -- Converting bullet points into SmartArt -- Creating new shapes with Edit Points -- Creating new shapes with the merging tools -- Breaking apart a Venn diagram -- Creating special text -- Using and customizing stock images and other graphics -- Using Picture Format tools -- Customizing icons or illustrations -- Summary -- Further reading -- Chapter 7: Adding and Modifying Multimedia Elements…”

“…Engineering and mathematical fields related to artificial intelligence, operations research and decision theory are now strongly driven by fuzzy set theory. …”

Tabla de Contenidos: “…Best Practices for Removing Sensitive Data -- Summary -- Exam Essentials -- Review Questions -- Chapter 7 Model Building -- Choice of Framework and Model Parallelism -- Data Parallelism -- Model Parallelism -- Modeling Techniques -- Artificial Neural Network -- Deep Neural Network (DNN) -- Convolutional Neural Network -- Recurrent Neural Network -- What Loss Function to Use -- Gradient Descent -- Learning Rate -- Batch -- Batch Size -- Epoch -- Hyperparameters -- Transfer Learning -- Semi-supervised Learning -- When You Need Semi-supervised Learning -- Limitations of SSL -- Data Augmentation -- Offline Augmentation -- Online Augmentation -- Model Generalization and Strategies to Handle Overfitting and Underfitting -- Bias Variance Trade-Off -- Underfitting -- Overfitting -- Regularization -- Summary -- Exam Essentials -- Review Questions -- Chapter 8 Model Training and Hyperparameter Tuning -- Ingestion of Various File Types into Training -- Collect -- Process -- Store and Analyze -- Developing Models in Vertex AI Workbench by Using Common Frameworks -- Creating a Managed Notebook -- Exploring Managed JupyterLab Features -- Data Integration -- BigQuery Integration -- Ability to Scale the Compute Up or Down -- Git Integration for Team Collaboration -- Schedule or Execute a Notebook Code -- Creating a User-Managed Notebook -- Training a Model as a Job in Different Environments -- Training Workflow with Vertex AI -- Training Dataset Options in Vertex AI -- Pre-built Containers -- Custom Containers -- Distributed Training -- Hyperparameter Tuning -- Why Hyperparameters Are Important -- Techniques to Speed Up Hyperparameter Optimization -- How Vertex AI Hyperparameter Tuning Works -- Vertex AI Vizier -- Tracking Metrics During Training -- Interactive Shell -- TensorFlow Profiler -- What-If Tool -- Retraining/Redeployment Evaluation -- Data Drift…”

Tabla de Contenidos: “…Support vector machines -- Kernel functions -- SVM multilabel classifier with letter recognition data example -- Maximum margin classifier - linear kernel -- Polynomial kernel -- RBF kernel -- Artificial neural networks - ANN -- Activation functions -- Forward propagation and backpropagation -- Optimization of neural networks -- Stochastic gradient descent - SGD -- Momentum -- Nesterov accelerated gradient - NAG -- Adagrad -- Adadelta -- RMSprop -- Adaptive moment estimation - Adam -- Limited-memory broyden-fletcher-goldfarb-shanno - L-BFGS optimization algorithm -- Dropout in neural networks -- ANN classifier applied on handwritten digits using scikit-learn -- Introduction to deep learning -- Solving methodology -- Deep learning software -- Deep neural network classifier applied on handwritten digits using Keras -- Summary -- Chapter 7: Recommendation Engines -- Content-based filtering -- Cosine similarity -- Collaborative filtering -- Advantages of collaborative filtering over content-based filtering -- Matrix factorization using the alternating least squares algorithm for collaborative filtering -- Evaluation of recommendation engine model -- Hyperparameter selection in recommendation engines using grid search -- Recommendation engine application on movie lens data -- User-user similarity matrix -- Movie-movie similarity matrix -- Collaborative filtering using ALS -- Grid search on collaborative filtering -- Summary -- Chapter 8: Unsupervised Learning -- K-means clustering -- K-means working methodology from first principles -- Optimal number of clusters and cluster evaluation -- The elbow method -- K-means clustering with the iris data example -- Principal component analysis - PCA -- PCA working methodology from first principles -- PCA applied on handwritten digits using scikit-learn -- Singular value decomposition - SVD…”

Tabla de Contenidos: “…Understanding parse trees -- Using extracted relationships -- Extracting relationships -- Using NLP APIs -- Using OpenNLP -- Using the Stanford API -- Using the LexicalizedParser class -- Using the TreePrint class -- Finding word dependencies using the GrammaticalStructure class -- Finding coreference resolution entities -- Extracting relationships for a question-answer system -- Finding the word dependencies -- Determining the question type -- Searching for the answer -- Summary -- Chapter 11: Combined Pipeline -- Preparing data -- Using boilerpipe to extract text from HTML -- Using POI to extract text from Word documents -- Using PDFBox to extract text from PDF documents -- Using Apache Tika for content analysis and extraction -- Pipelines -- Using the Stanford pipeline -- Using multiple cores with the Stanford pipeline -- Creating a pipeline to search text -- Summary -- Chapter 12: Creating a Chatbot -- Chatbot architecture -- Artificial Linguistic Internet Computer Entity -- Understanding AIML -- Developing a chatbot using ALICE and AIML -- Summary -- Other Books You May Enjoy -- Index…”

Tabla de Contenidos: “…Exporting content from Unreal Engine -- Managing content -- Project - importing Assets from the Marketplace -- Summary -- Part 2: Illuminating and Materializing the Scene -- Chapter 5: Lighting in Unreal - the Essentials -- Technical requirements -- Lighting systems -- Dynamic (real time) -- Baked -- Key lesson -- Placing lights -- Light mobility -- Exposure -- Types of lights -- HDRI -- Shadows -- Bonus topic - Lighting Channels -- Real-time lighting (with Lumen) -- Real-time lighting (with path tracing) -- Enabling path tracing -- Using and configuring path tracing -- Baked lighting -- How to perform light baking -- Summary -- Chapter 6: Lighting the Scene -- Technical requirements -- A general approach to light -- Calibrating your values -- Key learning -- Outdoor lighting -- Creating outdoor basic lighting -- Creating outdoor overcast lighting -- Creating nocturnal lighting -- Light volumetric effects -- Indoor lighting -- Natural light -- Artificial light -- Setting up a light studio -- Project - lighting an interior -- Summary -- Chapter 7: Exploring Materials -- Understanding Materials for Unreal Engine -- Technical requirements -- Discovering the Material Editor -- Material Editor interface -- Material properties -- Creating Materials properly -- Main Material Node -- Compile and apply -- Creating your first clay Material (exercise) -- Organizing the Graph -- Optimizing your Materials -- Material Instances and parameterization -- Material Functions -- Summary -- Chapter 8: Creating Architectural Materials -- Technical requirements -- Managing texture for Unreal -- How to prepare -- Essential textures -- How to import -- Channel packing -- Creating architectural materials with PBR workflow -- Creating the master material -- Making a dielectric material -- Making a Metallic material -- Making fabrics -- Making masked materials…”

Tabla de Contenidos: “…BB6: Building Block 6 - Innovative Project Management Systems -- BB7: Building Block 7 - Innovative Management Participation -- BB8: Building Block 8 - Innovative Team Development -- BB9: Building Block 9 - Individual Creativity, Innovation and Excellence -- BB10: Building Block 10 - Innovative Supply Chain Management -- SIPOC Diagram - Describes Suppliers, Inputs, Processes, Outputs, and Customers Diagram -- Value Stream -- Value Stream Mapping -- BB11: Building Block 11 - Innovative Design -- BB12: Building Block 12 - Innovative Robotics/Artificial Intelligence -- Different Types of AI -- BB13: Building Block 13 - Knowledge Assets Management -- Knowledge Management Life Cycle -- The Six Phases to Install a KMS -- BB14: Building Block 14 - Comprehensive Measurement Systems -- BB15: Building Block 15 - Innovative Organizational Structure -- BB16: Building Block 16 - Rewards and Recognition -- Summary -- The Advantages of a Good IMS -- A Word of Caution -- The Future of Innovation -- Chapter 5. …”

Tabla de Contenidos: “…-- 1.3 Why quantum computing is different -- 1.4 Applications to artificial intelligence -- 1.5 Applications to financial services -- 1.6 What about cryptography? …”

Tabla de Contenidos: “…-- Understanding geospatial databases -- Sharing data with interchange formats -- Introducing spatiotemporal data -- Summary -- Questions -- Further reading -- Chapter 3: The Geospatial Technology Landscape -- Technical requirements -- Understanding data access -- GDAL -- PDAL -- Understanding computational geometry -- The PROJ projection library -- CGAL -- JTS -- GEOS -- PostGIS -- Other spatially enabled databases -- Routing -- Understanding desktop tools (including visualization) -- Quantum GIS -- GRASS GIS -- gvSIG -- OpenJUMP -- Google Earth -- NASA WorldWind -- ArcGIS -- Leaflet and OpenLayers -- Understanding metadata management -- Python's pycsw library -- GeoNode -- GeoNetwork -- A quick look at artificial intelligence -- Summary -- Questions -- Further reading -- Part 2: Geospatial Analysis Concepts -- Chapter 4: Geospatial Python Toolbox -- Technical requirements -- Using QGIS -- Installing third-party Python modules -- Anaconda -- Jupyter -- PyPI and pip -- The Python virtualenv module -- Python networking libraries for acquiring data -- The Python urllib module -- The Python requests module -- FTP -- Bundling and compressing files -- Python markup and tag-based parsers -- The minidom module -- The ElementTree module -- Building XML using ElementTree and minidom -- Well-Known Text (WKT) -- Python JSON libraries -- The json module -- The geojson module -- OGR -- PyShp -- Shapely -- Fiona -- GDAL -- NumPy -- PIL -- PNGCanvas -- GeoPandas -- PyFPDF -- PyMySQL -- Rasterio -- OSMnx -- Folium -- Summary -- Questions -- Further reading -- Chapter 5: Python and Geospatial Algorithms -- Technical requirements -- Measuring distance -- Using the Pythagorean theorem to measure distance -- Using the haversine formula -- Using the Vincenty formula -- Calculating line direction…”

Tabla de Contenidos: “…Front Cover -- Data Governance: How to Design, Deploy, and Sustain an Effective Data Governance Program -- Copyright -- Dedication -- Contents -- Forewords -- Preface -- Acknowledgments -- Chapter 1 Prologue: An executive overview -- The situation -- Concepts -- Chapter 2 Introduction -- Introduction -- Chapter 3 Data literacy and concepts -- The importance of concepts -- Data is an asset -- Data governance and governance -- Data management -- Information management -- Enterprise information management -- Data architecture -- The governance "V -- Solutions -- Master data management -- Data quality -- Business intelligence -- Analytics and advanced analytics -- Artificial intelligence or machine learning -- Other terms -- Principles -- Policies -- Some final core concepts -- E for enterprise -- Business program -- Evolution vs revolution -- Information management maturity -- Things will change -- Summary -- Chapter 4 Overview: A day in the life of a data governance program and its capabilities -- What does it look like? …”

Tabla de Contenidos: “…Some axioms and other gems -- Louder is better -- Percussives weigh less -- Importance -- Natural vs. artificial -- 3. Learning to mix -- What makes a great mixing engineer? …”

Tabla de Contenidos: “…Frontcover -- Half Title Page -- River Publishers Series in Communications -- Title Page - Digitising the Industry Internet of Things Connecting the Physical, Digital and Virtual Worlds -- Copyright Page -- Dedication -- Contents -- Preface -- Editors Biography -- List of Figures -- List of Tables -- Chapter 1 - Introduction -- Chapter 2 - IoT Ecosystems Implementing Smart Technologies to Drive Innovation for Future Growth and Development -- 2.1 Introduction -- 2.2 Support for IoT Ecosystem Creation -- 2.3 Spurring Innovation in Lead Markets -- 2.4 Outlook -- Chapter 3 - IoT Digital Value Chain Connecting Research, Innovation and Deployment -- 3.1 Internet of Things Vision -- 3.1.1 IoT Common Definition -- 3.1.2 Artificial Intelligence and Cognitive IoT -- 3.1.3 IoT of Robotic Things -- 3.2 IoT Strategic Research and Innovation Directions -- 3.3 IoT Smart Environments and Applications -- 3.3.1 Wearables -- 3.3.2 Smart Health,Wellness and AgeingWell -- 3.3.3 Smart Clothing -- 3.3.4 Smart Buildings and Architecture -- 3.3.5 Smart Energy -- 3.3.6 Smart Mobility and Transport -- 3.3.7 Industrial IoT and Smart Manufacturing -- 3.3.8 Smart Cities -- 3.3.8.1 Open Data and Ecosystem for Smart Cities -- 3.3.8.2 Citizen Centric Smart Cities IoT Applications and Deployments -- 3.3.9 Smart Farming and Food Security -- 3.3.9.1 Business Models and Innovation Ecosystems -- 3.3.9.2 Societal Aspects -- 3.3.9.3 Coordination among Different DGs, Programmes and Member States -- 3.3.9.4 Policy and Regulations -- 3.4 IoT and Related Future Internet Technologies -- 3.4.1 Cloud Computing -- 3.4.2 Edge Computing -- 3.5 Networks and Communication -- 3.5.1 Network Technology -- 3.5.2 Communication Technology -- 3.6 IoT Standardisation -- 3.7 IoT Security -- 3.7.1 IoT Security Framework based on Artificial Intelligence Concepts…”

Tabla de Contenidos: “…4.4.2 How to Implement -- Step 1: Data Preparation -- Step 2: Modeling Operator and Parameters -- Step 3: Evaluation -- Step 4: Execution and Interpretation -- 4.4.3 Conclusion -- 4.5 Artificial Neural Networks -- 4.5.1 How It Works -- Step 1: Determine the Topology and Activation Function -- Step 2: Initiation -- Step 3: Calculating Error -- Step 4: Weight Adjustment -- 4.5.2 How to Implement -- Step 1: Data Preparation -- Step 2: Modeling Operator and Parameters -- Step 3: Evaluation -- Step 4: Execution and Interpretation -- 4.5.3 Conclusion -- 4.6 Support Vector Machines -- Concept and Terminology -- 4.6.1 How It Works -- 4.6.2 How to Implement -- Implementation 1: Linearly Separable Dataset -- Step 1: Data Preparation -- Step 2: Modeling Operator and Parameters -- Step 3: Process Execution and Interpretation -- Example 2: Linearly Non-Separable Dataset -- Step 1: Data Preparation -- Step 2: Modeling Operator and Parameters -- Step 3: Execution and Interpretation -- Parameter Settings -- 4.6.3 Conclusion -- 4.7 Ensemble Learners -- Wisdom of the Crowd -- 4.7.1 How It Works -- Achieving the Conditions for Ensemble Modeling -- 4.7.2 How to Implement -- Ensemble by Voting -- Bootstrap Aggregating or Bagging -- Implementation -- Boosting -- AdaBoost -- Implementation -- Random Forest -- Implementation -- 4.7.3 Conclusion -- References -- 5 Regression Methods -- 5.1 Linear Regression -- 5.1.1 How it Works -- 5.1.2 How to Implement -- Step 1: Data Preparation -- Step 2: Model Building -- Step 3: Execution and Interpretation -- Step 4: Application to Unseen Test Data -- 5.1.3 Checkpoints -- 5.2 Logistic Regression -- 5.2.1 How It Works -- How Does Logistic Regression Find the Sigmoid Curve? …”

Tabla de Contenidos: “…12.2.1 From Big Data to Cognitive Data -- 12.3 Representing Knowledge in Semantic Graphs -- 12.3.1 Representing Data Semantically -- 12.4 RDF a Holistic Data Representation for Schema, Data, and Metadata -- 12.5 Establishing Interoperability by Linking and Mapping between Different Data and Knowledge Representations -- 12.6 Exemplary Data Integration in Supply Chains with ScorVoc -- 12.7 Conclusions -- References -- Chapter 13: Data Ecosystems: A New Dimension of Value Creation Using AI and Machine Learning -- 13.1 Introduction -- 13.2 Big Data, Machine Learning, and Artificial Intelligence -- 13.3 An Open Platform for Developing AI Applications -- 13.4 Machine Learning at the Edge -- 13.5 Machine Learning in Digital Ecosystems -- 13.6 Trustworthy AI Solutions -- 13.7 Summary -- References -- Chapter 14: IDS as a Foundation for Open Data Ecosystems -- 14.1 Introduction -- 14.2 Barriers of Open Data -- 14.3 Related Work -- 14.4 International Data Spaces and Open Data -- 14.4.1 IDS as an Open Data Technology -- 14.4.2 IDS Components in an Open Data Environment -- 14.4.3 Benefits -- 14.5 The Public Data Space -- 14.5.1 The Open Data Connector -- 14.5.2 The Open Data Broker -- 14.5.3 Use Case: Publishing Open Government Data -- 14.6 Discussion and Conclusion -- References -- Chapter 15: Defining Platform Research Infrastructure as a Service (PRIaaS) for Future Scientific Data Infrastructure -- 15.1 Introduction -- 15.2 European Research Area -- 15.2.1 European Research Infrastructures and ESFRI Roadmap -- 15.2.2 European Open Science Cloud (EOSC) -- 15.3 Technology-Driven Science Transformation -- 15.3.1 Science Digitalization and Industry 4.0 -- 15.3.2 Transformational Role of Artificial Intelligence -- 15.3.3 Promises of 5G Technologies -- 15.3.4 Adopting Platform and Ecosystems Business Model for Future SDI…”

Tabla de Contenidos: “…Chapter 10 6G Systems in Secure Data Transmission -- 10.1 Introduction -- 10.2 Evolution of 6G -- 10.3 Functionality -- 10.3.1 Security and Privacy Issues -- 10.3.1.1 Artificial Intelligence (AI) -- 10.3.1.2 Molecular Communication -- 10.3.1.3 Quantum Communication -- 10.3.2 Blockchain -- 10.3.3 TeraHertz Technology -- 10.3.4 Visible Light Communication (VLC) -- 10.4 6G Security Architectural Requirements -- 10.5 Future Enhancements -- 10.6 Summary -- References -- Chapter 11 A Trust-Based Information Forwarding Mechanism for IoT Systems -- 11.1 Introduction -- 11.1.1 Need of Security -- 11.1.2 Role of Trust-Based Mechanism in IoT Systems -- 11.1.3 Contribution -- 11.2 Related Works -- 11.3 Estimated Trusted Model -- 11.4 Blockchain Network -- 11.5 Performance Analysis -- 11.5.1 Dataset Description and Simulation Settings -- 11.5.2 Comparison Methods and Evaluation Metrics -- 11.6 Results Discussion -- 11.7 Empirical Analysis -- 11.8 Conclusion -- References -- About the Editors -- Index -- EULA…”

Tabla de Contenidos: “…3.3 Snowflake Cloud Data Warehouse -- 3.3.1 High-Level Architecture of Snowflake Cloud Data Warehouse -- 3.3.2 Features of Snowflake Cloud Data Warehouse -- 3.3.3 Snowflake Cloud Data Warehouse Pricing -- 3.4 Google BigQuery Cloud Data Warehouse -- 3.4.1 High-Level Architecture of Google BigQuery Cloud Data Warehouse -- 3.4.2 Features of Google BigQuery Cloud Data Warehouse -- 3.4.3 Google BigQuery Cloud Data Warehouse Pricing -- 3.5 Microsoft Azure Synapse Cloud Data Warehouse -- 3.5.1 Microsoft Azure Synapse Cloud Data Warehouse Architecture -- 3.5.2 Features of Microsoft Azure Synapse Cloud Data Warehouse -- 3.5.3 Pricing of Microsoft Azure Synapse Cloud Data Warehouse -- 3.6 Informatica Intelligent Cloud Services (IICS) -- 3.6.1 Informatica Intelligent Cloud Services Architecture -- 3.6.2 Salient Features of Informatica Intelligent Cloud Services -- 3.6.3 Informatica Intelligent Cloud Services Pricing Model -- 3.7 Conclusion -- Acknowledgements -- References -- Chapter 4 Data Mining with Cluster Analysis Through Partitioning Approach of Huge Transaction Data -- 4.1 Introduction -- 4.2 Methodology Used in Proposed Cluster Analysis System -- 4.2.1 Design of Algorithms -- 4.3 Literature Survey on Existing Systems -- 4.3.1 Experimental Results -- 4.4 Conclusion -- References -- Chapter 5 Application of Data Science in Macromodeling of Nonlinear Dynamical Systems -- 5.1 Introduction -- 5.2 Nonlinear Autonomous Dynamical System -- 5.3 Nonlinear System - MOR -- 5.3.1 Proper Orthogonal Decomposition -- 5.4 Data Science Life Cycle -- 5.4.1 Problem Identification -- 5.4.2 Identifying Available Data Sources and Data Collection -- 5.4.3 Data Processing -- 5.4.4 Data Exploration -- 5.4.5 Feature Extraction -- 5.4.6 Modeling -- 5.4.7 Model Performance Evaluation -- 5.5 Artificial Neural Network in Modeling -- 5.5.1 Machine Learning…”

Tabla de Contenidos: “…Kovasznay flow -- 5.4 Implementation -- 5.4.1 Data structures and performance implications -- 5.4.2 Matrix and matrix-free implicit solvers -- 5.4.3 Unstructured grid filtering for LES -- 5.4.3.1 Face-based filtering -- 5.4.3.2 Derivative-based filter -- 5.4.3.3 Generalized top-hat filter -- 5.4.3.4 Function based filter -- 5.5 Scale resolving turbulence simulations -- References -- 6 Finite difference methods for turbulence simulations -- 6.1 Introduction -- 6.2 Grid topologies -- 6.2.1 Navier-Stokes equations in curvilinear coordinates -- 6.2.1.1 Conservation laws on curvilinear grids -- 6.2.1.2 The geometric conservation constraint -- 6.2.2 Cartesian octree topologies -- 6.2.3 Numerical considerations for abrupt grid changes -- 6.3 Grid staggering and flux evaluations -- 6.3.1 Primitive variable placement -- 6.3.2 Staggered flux evaluations in collocated variable formulation -- 6.4 Robustness of inviscid flux discretization -- 6.4.1 Linear schemes -- 6.4.1.1 Kinetic energy preservation and entropy consistency -- 6.4.2 Flows with discontinuities -- 6.4.2.1 Nonlinear schemes: WENO interpolation and WCNS -- 6.4.2.2 Artificial dissipation -- 6.5 Finite difference schemes for LES: dispersion/dissipation errors -- 6.5.1 Are low-dispersion error schemes relevant for LES in turbulence-dominated flows? …”

Tabla de Contenidos: “…Front Matter(pp. 1-4) -- Table of Contents(pp. 5-8) -- 1 Introducción(pp. 9-12) -- 2 Diseño de un MOOC para la formación del profesorado universitario en TIC como apoyo al alumnado con discapacidad(pp. 13-26) -- Pedro Román-Graván, José María Fernández-Batanero and Gloria Morales-Pérez -- 3 Propuesta de un recurso tecnológico inclusivo(pp. 27-34) -- Rocío Piñero-Virué and Miguel María Reyes-Rebollo -- 4 La participación de estudiantes de ciencias de la educación: manejo de estrategias didácticas inclusivas y principios DUA en pro de la competencia digital docente(pp. 35-42) -- Ma José Navarro-Montaño, Paula Jiménez-Navarro and Rocío Piñero-Virué -- 5 Variables que influyen el desarrollo de la competencia digital del profesorado universitario de la provincia de Sevilla para atender al alumnado con discapacidad(pp. 43-52) -- 6 Avanzando en la formación competencial con TIC para la inclusión educativa(pp. 53-60) -- Lucía María Parody-García, Juan José Leiva-Olivencia, Antonio Matas-Terrón and María Jesús Santos-Villalba -- 7 Análisis del Aprendizaje Servicio como estrategia educativa inclusiva en la formación inicial del profesorado(pp. 61-68) -- María José Alcalá del Olmo-Fernández, Francisco José García-Aguilera, Lourdes Aranda-Garrido and María Inmaculada Jiménez Perona -- 8 La asistencia personal de aula como herramienta didáctica para la atención a la diversidad del alumnado con TEA desde un enfoque inclusivo(pp. 69-76) -- Esther Polo-Márquez, Juan José Leiva-Olivencia, Lucía María Parody-García and Antonio Matas-Terrón -- 9 Codocencia y mediación para la mejora de la convivencia y el aprendizaje relevante(pp. 77-84) -- María Jesús Santos-Villalba, María José Alcalá del Olmo-Fernández, Lucía María Parody-García and Francisco José García-Aguilera -- 10 Observatorio SOS-Attendance: diseño, creación y desarrollo de un observatorio para combatir el absentismo escolar(pp. 85-90) -- Carolina Gonzálvez, Concettina Caparello, Luana Sorrenti and Giuseppa Filippello -- 11 Reducir el rechazo escolar y mejorar el clima escolar a través del arte en Educación Primaria(pp. 91-96) -- Aitana Fernández-Sogorb, Miriam Martín, Andrea Fuster and María Pérez-Marco -- 12 Comportamiento de rechazo hacia la escuela y diferencias en personalidad(pp. 97-104) -- Miriam Martín, Aitana Fernández-Sogorb, María Pérez-Marco and Andrea Fuster -- 13 La importancia del hábito de leer para el alumnado: un reto docente(pp. 105-112) -- Inmaculada Sánchez-Gutiérrez, Marta Montenegro-Rueda and Magdalena Ramos Navas-Parejo -- 14 El uso de las STEAM para reducir la brecha de género en el ámbito escolar(pp. 113-120) -- Verónica Juárez-Ramos and Oscar Iborra-Martínez -- 15 La pregunta por el porvenir en las escuelas secundarias del Sur Global: promesas, desigualdades y desencantos(pp. 121-128) -- Libertad Machado, Francisco Manuel Morales-Rodríguez and Luciano Martin-Mantiñan -- 16 La gamificación como evidencia educativa para luchar contra la LGTBI fobia en aulas rurales de secundaria(pp. 129-134) -- José Pablo Rodríguez-Gobiet and Francisco Manuel Morales-Rodríguez -- 17 Avances tecnológicos desde el siglo XXI(pp. 135-140) -- Juan Carlos de la Cruz-Campos, Alba Cara-Peinado, Alejandro Martínez-Menéndez and Inma Sánchez Gutiérrez -- 18 Perceived teacher psychological control and academic achievement: role played in school attendance problems(pp. 141-148) -- Concettina Caparello, Luana Sorrenti and Giuseppa Filippello -- 19 Competencias digitales en Educación Superior(pp. 149-154) -- José Fernández-Cerero, Alejandro Martínez-Menéndez, Alba Cara-Peinado and Juan José Victoria-Maldonado -- 20 Evaluation of transversal pro-environmental attitudes and be-haviors, empathy, self-concept, and emotional intelligence in university students for organizational happiness(pp. 155-166) -- Ana María Morales-Rodríguez, Francisco Manuel Morales-Rodríguez and Juan Pedro Martínez-Ramón -- 21 El uso de la inteligencia artificial dentro de la Educación Superior como herramienta educativa(pp. 167-172) -- Juan José Victoria-Maldonado, Juan Carlos de la Cruz-Campos and Magdalena Ramos Navas-Parejo -- 22 Health protection in children with ID: needs analysis(pp. 173-182) -- Barbora Bazalová, Dana Zámečníková and Pavel Sochor -- 23 Brief analysis regarding the health needs of persons with ID under the THID project: the portuguese case(pp. 183-192) -- Pedro Tadeu and Carlos Brigas -- 24 Understanding the health needs of persons with ID within the THID project: insights from the slovenian case study(pp. 193-200) -- Mirko Prosen, Rebeka Lekše and Sabina Ličen -- 25 Brief analysis regarding the health needs of persons with intellectual disabilities under the THID project: the turkish case(pp. 201-208) -- Dilek Şahin, Feyzullah Şahin, Ahmet Fidan and Nilay Ayşe Günel -- 26 Las apuestas explicadas a través de las funciones ejecutivas y las estrategias de afrontamiento mediante un análisis de redes neuronales(pp. 209-214) -- José Miguel Giménez Lozano and Francisco Manuel Morales Rodríguez -- Back Matter(pp. 215-218)…”

Tabla de Contenidos: “…Propuestas de investigación -- Innovación en la gestión económica del crédito agropecuario en Colombia: análisis institucional del acceso al crédito para el desarrollo de la agricultura familiar -- Factores predictivos de ceguera diabética -- Estudio serológico de Dirofilaria immitis, Ehrlichia canis, Anaplasma phagocytophilum y Borrelia burgdorferi, por medio de un kit Elisa en caninos -- Diseño de una herramienta para la evaluación de la gestión y los resultados de la prestación del servicio de energía eléctrica en las zonas no interconectadas de Colombia en cuanto a la innovación de la gestión económica y social -- Determinación de la toxicidad aguda de agua y suelo intervenido en la sede Utopía, de la Universidad de La Salle (Yopal), por medio de la técnica de Biofix -- Modelo de innovación social para la integración del servicio de acueducto en términos de economías de aglomeración -- Desarrollo de la vivienda desde el urbanismo emergente: caso municipio de Sibaté, Colombia -- Producción de alimento vivo como complemento nutricional para la conservación y el mantenimiento de peces ornamentales -- Establecimiento y primera fase de optimización de alimentación artificial en colonias de mosquitos de las especies Aedes aegypti y Culex quinquefasciatus -- Utilización de una proteína proveniente del manano oligosacárido de Saccharomyces cerevisiae en la dieta de pollos sobre parámetros productivos e integridad intestinal -- Test de Bagolini modificado y su evaluación en la medición del campo visual binocular frente a la campimetría visual computarizada. …”

Tabla de Contenidos: “…Metodologia de la investigacion y derecho penal / Carlos Perez del Valle - XXXII. Inteligencia artificial y el mundo de los negocios: sus implicaciones juridicas / Paula Andrea Ramirez Barbosa - XXXIII. …”