Tabla de Contenidos: “…Full log analysis reports -- Reports for the EMPLOYEE table -- Reports for all tables -- Reports for a table with a BLOB column -- Abbreviations and acronyms -- Related publications -- IBM Redbooks -- Other resources -- Referenced Web sites -- How to get IBM Redbooks -- IBM Redbooks collections -- Index -- Back cover…”

Tabla de Contenidos: “…Synthèse et conclusion -- Bibliographie -- Annexes -- Table des Illustrations -- _GoBack -- _GoBack -- Introduction -- fig.1 - Localisation du site de Tinqueux «la Haubette» et des principaux sites BVSG régionaux. …”

Tabla de Contenidos: “…-- 11.1.1 Audience -- 11.1.2 Format -- 11.1.3 Validation -- 11.2 Documentation types -- 11.2.1 Meeting notes -- 11.2.2 Walk-throughs demos -- 11.2.3 Owner's manual -- 11.2.4 Backing up and restoration -- 11.2.5 Deployment process -- 11.2.6 Source/code comments -- 11.2.7 Architectural diagrams -- 11.2.8 Process diagrams -- 11.2.9 Network diagrams -- 11.2.10 Data schemas -- 11.2.11 Compliance documentation -- 11.2.12 License and audit tracking -- 11.3 Whitepapers -- 11.4 Best practices -- Summary -- Checklist -- 12 Security -- 12.1 Patching -- 12.1.1 Identify patches -- 12.1.2 Scheduling -- 12.1.3 Special considerations -- 12.2 Penetration testing -- 12.3 Social engineering -- 12.4 Data leakage -- 12.4.1 Logging -- 12.4.2 Application errors -- 12.4.3 Data exports -- 12.4.4 Version control -- 12.5 Password rotation -- 12.5.1 System credentials tracking -- 12.6 Secure environment -- 12.6.1 Identify -- 12.6.2 Protect -- 12.6.3 Monitor -- 12.7 Developing with security -- 12.7.1 Creating secure code -- 12.7.2 Securing the build process -- 12.8 "We are under attack" -- 12.8.1 Kill switch -- 12.8.2 Communication -- 12.8.3 Managing a security breach…”

Tabla de Contenidos: “…FALERO FOLGOSO -- DEL RECONOCIMIENTO AL OLVIDO: EL ARTISTA PERUANO CARLOS BACA-FLOR Y SUS RELACIONES CON LAS INSTITUCIONES DE ARTE EUROPEAS, POR ESTER GALLEGOS CORDERO -- BUCEANDO EN EL BOOM DEL CÓMIC ADULTO. …”

Tabla de Contenidos: “…Front Matter -- Table of Contents -- CAPÍTULO 1 USO DOCENTE DE INSTAGRAM EN LAS ASIGNATURAS DEL ÁREA MATERNO INFANTIL EN EL GRADO DE ENFERMERÍA -- CAPÍTULO 2 GRADO DE SATISFACCIÓN CON EL APRENDIZAJE SIGNIFICATIVO A TRAVÉS DE EXPERIENCIAS DE SIMULACIÓN DE ESTUDIANTES DE FISIOTERAPIA DE LA ASIGNATURA -- CAPÍTULO 3 APRENDER JUGANDO: EL USO DE KAHOOT COMO EVALUACIÓN DINÁMICA DE LOS CONTENIDOS EN EL GRADO DE ENFERMERÍA -- CAPÍTULO 4 DISEÑO E IMPLEMENTACIÓN DE UNA PROPUESTA DIDÁCTICA DE APRENDIZAJE PRÁCTICO DE ANATOMÍA HUMANA A TRAVÉS DE MODELOS 3D EN UNA APLICACIÓN DE REALIDAD VIRTUAL -- CAPÍTULO 5 PERCEPCIONES SOBRE EL USO DE LA RED SOCIAL INSTAGRAM COMO HERRAMIENTA DOCENTE EN FISIOTERAPIA -- CAPÍTULO 6 EMPLEO DE UN SISTEMA DE RECOMPENSAS EN LA CALIFICACIÓN DE DOS MATERIAS OBLIGATORIAS DEL GRADO EN FISIOTERAPIA: PERCEPCIÓN Y EVALUACIÓN DEL ALUMNADO -- CAPÍTULO 7 APRENDIZAJE BASADO EN PROBLEMAS PARA FAVORECER LA COMPRENSIÓN DEL PROCESO DE ENFERMERÍA: EXPERIENCIA DE INCORPORAR LAS TICS AL AULA -- CAPÍTULO 8 EXAMEN CLÍNICO OBJETIVO Y ESTRUCTURADO (ECOE) EN EL GRADO DE FISIOTERAPIA: EXPERIENCIA PILOTO DE LA FACULTAD DE CIENCIAS DE LA SALUD DE LA UNIVERSIDAD CEU CARDENAL HERRERA -- CAPÍTULO 9 INFLUENCIA DE UNA ESCAPE ROOM EDUCATIVA EN LOS ESTUDIANTES DE ENFERMERÍA -- CAPÍTULO 10 EL APRENDIZAJE MEDIANTE TIKTOK EN ESTUDIANTES DE FISIOTERAPIA -- CAPÍTULO 11 APRENDIZAJE BASADO EN JUEGOS EN FISIOTERAPIA -- CAPÍTULO 12 SIMULACIÓN EN CUIDADOS PALIATIVOS: ENTRENANDO LA HABILIDAD DE LA COMUNICACIÓN -- CAPÍTULO 13 APRENDIENDO A DIFUNDIR CONTENIDOS SANITARIOS FIABLES MEDIANTE REDES SOCIALES -- CAPÍTULO 14 ¿PERCIBEN LOS ESTUDIANTES UNIVERSITARIOS QUE LA RED SOCIAL INSTAGRAM COMO HERRAMIENTA DOCENTE PUEDE INFLUIR EN SU APRENDIZAJE? …”

Tabla de Contenidos: “…UNA REVISIÓN SISTEMÁTICA -- CAPÍTULO 40 FACTORES DE SALUD Y NIVELES DE DEPRESIÓN EN ESTUDIANTES UNIVERSITARIOS DURANTE LA PANDEMIA POR COVID-19 -- CAPÍTULO 41 MEDIACIÓN PARENTAL EN EL CIBERACOSO: PREVENCIÓN A TRAVÉS DE LA EDUCACIÓN -- CAPÍTULO 42 GAMIFICACIÓN EN LA EDUCACIÓN FÍSICA ESCOLAR -- CAPÍTULO 43 LA FIGURA DEL DINAMIZADOR/A EN LAS ESCUELAS DE MADRES Y PADRES -- CAPÍTULO 44 BULLYING Y HABILIDADES PROSOCIALES EN EL ALUMNADO DE EDUCACIÓN SECUNDARIA: REVISIÓN SISTEMÁTICA -- Back Matter…”

Tabla de Contenidos: “…-- 4 Outlook -- References -- The Four `I's: Quality Indicators for the Humanities -- 1 Ranking Fever in Germany -- 2 The Reaction of the Humanities to the Ranking Fever -- 3 Quantity Instead of Quality: Current Methods of `Quality Assessment' -- 4 Quality Assessment within a Discipline: The Evaluation Culture in the Humanities -- 5 What Is Quality in the Humanities? Looking Back -- 6 The Critical Self-image of the Humanities -- 7 Quality Indicators: The Four `I's -- 8 Closing Remarks -- References -- Bottom Up from the Bottom: A New Outlook on Research Evaluation for the SSH in France -- 1 Introduction -- 2 The Need for Evaluation in the Post-`loi LRU' Period -- 2.1 Human Resources -- 2.2 Funding -- 2.3 The National Grant System -- 3 Current Practices and Levels of Evaluation -- 4 DisValHum and IMPRESHS Projects…”

Tabla de Contenidos: “…Recent trends in pedestrian detection for robotic vision using deep learning techniques -- 10.1 Introduction -- 10.2 Datasets and artificial intelligence enabled platforms -- 10.3 AI-based robotic vision -- 10.4 Applications of robotic vision toward pedestrian detection -- 10.4.1 Smart homes and cities -- 10.4.2 Autonomous driving -- 10.4.3 Tracking -- 10.4.4 Reidentification -- 10.4.5 Anomaly detection -- 10.5 Major challenges in pedestrian detection -- 10.5.1 Illumination conditions -- 10.5.2 Instance size -- 10.5.3 Occlusion -- 10.5.4 Scene specific data -- 10.6 Advanced AI algorithms for robotic vision -- 10.7 Discussion -- 10.8 Conclusions -- References -- Further reading -- Index -- Back Cover…”

Tabla de Contenidos: “…Cassandra anti-patterns -- Frequently updated data -- Frequently deleted data -- Queues or queue-like data -- Solutions requiring query flexibility -- Solutions requiring full table scans -- Incorrect use of BATCH statements -- Using Byte Ordered Partitioner -- Using a load balancer in front of Cassandra nodes -- Using a framework driver -- Cassandra hardware selection, installation, and configuration -- RAM -- CPU -- Disk -- Operating system -- Network/firewall -- Installation using apt-get -- Tarball installation -- JVM installation -- Node configuration -- Running Cassandra -- Adding a new node to the cluster -- Using Cassandra -- Nodetool -- CQLSH -- Python -- Java -- Taking a backup with Cassandra -- Restoring from a snapshot -- Tips for success -- Run Cassandra on Linux -- Open ports 7199, 7000, 7001, and 9042 -- Enable security -- Use solid state drives (SSDs) if possible -- Configure only one or two seed nodes per data center -- Schedule weekly repairs -- Do not force a major compaction -- Remember that every mutation is a write -- The data model is key -- Consider a support contract -- Cassandra is not a general purpose database -- Summary -- References -- Chapter 6: HBase -- Architecture -- Components in the HBase stack -- Zookeeper -- HDFS -- HBase master -- HBase RegionServers -- Reads and writes -- The HBase write path -- HBase writes - design motivation -- The HBase read path -- HBase compactions -- System trade-offs -- Logical and physical data models -- Interacting with HBase - the HBase shell -- Interacting with HBase - the HBase Client API -- Interacting with secure HBase clusters -- Advanced topics -- HBase high availability -- Replicated reads -- HBase in multiple regions -- HBase coprocessors -- SQL over HBase -- Summary -- Chapter 7: DynamoDB -- The difference between SQL and DynamoDB -- Setting up DynamoDB -- Setting up locally…”

Tabla de Contenidos: “…. -- How it works... -- See also -- Backing up and restoring GPOs -- Getting ready -- How to do it... -- How it works... -- See also -- Plugging in ADMX and ADML templates -- Getting ready -- How to do it... -- How it works... -- Other Books You May Enjoy -- Index…”

Tabla de Contenidos: “…-- Establishing an Internal Control Framework -- The Board and Senior Management -- Regulatory Requirements -- Market Practice -- Type of Business -- Example of Front to Back Internal Controls -- Notes -- PART THREE Profit and Loss Controls -- 8 System Feeds, End of Day Rates and Profit and Loss Estimates -- System Feeds -- End of Day -- End of Day Rates -- Externally Sourced Rates -- Trader Sourced Rates -- P&amp -- L Estimate -- Note -- 9 Review of New and Amended Trades -- New Trades -- Why New Trades Are Generated -- Reviewing New Trades -- Presentation of New Trade P&amp -- L -- Amended Trades -- Why Are Trades Amended? …”

Tabla de Contenidos: “…Cover -- Copyright and Credits -- Packt Upsell -- Contributors -- Table of Contents -- Preface -- Chapter 1: Big Data and Artificial Intelligence Systems -- Results pyramid -- What the human brain does best -- Sensory input -- Storage -- Processing power -- Low energy consumption -- What the electronic brain does best -- Speed information storage -- Processing by brute force -- Best of both worlds -- Big Data -- Evolution from dumb to intelligent machines -- Intelligence -- Types of intelligence -- Intelligence tasks classification -- Big data frameworks -- Batch processing -- Real-time processing -- Intelligent applications with Big Data -- Areas of AI -- Frequently asked questions -- Summary -- Chapter 2: Ontology for Big Data -- Human brain and Ontology -- Ontology of information science -- Ontology properties -- Advantages of Ontologies -- Components of Ontologies -- The role Ontology plays in Big Data -- Ontology alignment -- Goals of Ontology in big data -- Challenges with Ontology in Big Data -- RDF-the universal data format -- RDF containers -- RDF classes -- RDF properties -- RDF attributes -- Using OWL, the Web Ontology Language -- SPARQL query language -- Generic structure of an SPARQL query -- Additional SPARQL features -- Building intelligent machines with Ontologies -- Ontology learning -- Ontology learning process -- Frequently asked questions -- Summary -- Chapter 3: Learning from Big Data -- Supervised and unsupervised machine learning -- The Spark programming model -- The Spark MLlib library -- The transformer function -- The estimator algorithm -- Pipeline -- Regression analysis -- Linear regression -- Least square method -- Generalized linear model -- Logistic regression classification technique -- Logistic regression with Spark -- Polynomial regression -- Stepwise regression -- Forward selection -- Backward elimination…”

Tabla de Contenidos: “…Nonrelational wrappers -- Microsoft Excel wrapper -- XML wrapper -- Glossary -- Abbreviations and acronyms -- Related publications -- IBM Redbooks -- Other publications -- Online resources -- How to get IBM Redbooks -- Help from IBM -- Index -- Back cover…”

Tabla de Contenidos: “…Chapter 6 - Millimeter-wave Circuits and Applications -- 6.1 Millimeter-wave Benchmark Circuits and Building Blocks -- 6.1.1 Benchmark Circuits -- 6.1.2 Circuit Building Blocks -- 6.1.2.1 W-band low-noise amplifier (LNA) with 0.5 V supply voltage -- 6.1.2.2 W-band low-power frequency tripler -- 6.2 Millimeter-wave and Terahertz Systems -- 6.2.1 240 GHz SiGe Chipset -- 6.2.1.1 Wideband LO signal generation -- 6.2.1.2 Transmitter building blocks -- 6.2.1.3 Receiver building blocks -- 6.2.1.4 Antenna design -- 6.2.1.5 Packaging and high-speed PCB design -- 6.2.1.6 Tx and Rx characterization -- 6.2.1.7 Ultra-high data rate wireless communication -- 6.2.2 210-270 GHz Circularly Polarized Radar -- 6.2.3 0.5 THz Computed Tomography -- 6.2.3.1 Components -- 6.2.3.2 Detector design -- 6.2.3.3 THz-CT results -- References -- Chapter 7 - Future of SiGe HBT Technology and Its Applications -- 7.1 Introduction -- 7.2 Technology Comparison -- 7.3 Future Millimeter-wave and THz Applications -- 7.3.1 Communication -- 7.3.2 Radar -- 7.3.3 Imaging and Sensing -- References -- Index -- About the Editors -- Back Cover…”

Tabla de Contenidos: “…YOUR OPPORTUNITY IS BIGGER THAN YOU REALIZE HOW TO EXPAND YOUR OPPORTUNITY AT WORK YOU NEED SOME HUMDRUM PASSIONS YOUR COMPANY ISN'T YOUR MOMMY OR DADDY BACK TO FORCING FUNCTIONS: HOW TO MOTIVATE YOURSELF TO DO THINGS YOU DON'T FEEL LIKE DOING SALES IS A LIFE SKILL SALES IS A MULTI-STEP PROCESS Chapter 24: COMBINING MONEY AND MEANING MEANING GONE WRONG WHAT'S YOUR UNIQUE GENIUS? …”

Tabla de Contenidos: “…7.3.2 Proposals Summary -- 7.3.3 Discussion -- 7.4 Conclusions -- References -- 8 Gait Recognition: The Wearable Solution -- 8.1 Machine Vision Approach -- 8.2 Floor Sensor Approach -- 8.3 Wearable Sensor Approach -- 8.3.1 The Accelerometer Sensor -- 8.4 Datasets Available for Experiments -- 8.5 An Example of a Complete System for Gait Recognition -- 8.6 Conclusions -- References -- 9 Biometric Authentication to Access Controlled Areas Through Eye Tracking -- 9.1 Introduction -- 9.2 ATM-Like Solutions -- 9.3 Methods Based on Fixation and Scanpath Analysis -- 9.4 Methods Based on Eye/Gaze Velocity -- 9.5 Methods Based on Pupil Size -- 9.6 Methods Based on Oculomotor Features -- 9.7 Methods Based on Head Orientation -- 9.8 Conclusions -- References -- 10 Noncooperative Biometrics: Cross-Jurisdictional Concerns -- 10.1 Introduction -- 10.2 Biometrics for Implementing Biometric Surveillance -- 10.3 Reaction to Public Opinion -- 10.3.1 Geopolitical Context -- 10.3.2 Technological Skills -- 10.3.3 Proportionality -- 10.3.4 A Particular Operational Framework -- 10.4 The Early Days -- 10.4.1 Commercial Context -- 10.4.2 Historical Context -- 10.4.3 Social Context, the Newham and Ybor City Experiments -- 10.5 An Interesting Clue (2007) -- 10.6 Biometric Surveillance Today -- 10.6.1 Increased Perception of Insecurity -- 10.6.2 Getting Used to the Erosion of Privacy -- 10.6.3 Increase of Mobility -- 10.7 Conclusions -- References -- Index -- Back Cover…”

Tabla de Contenidos: “…Future Directions -- References -- Contents of Volumes in this Series -- Back Cover…”

Tabla de Contenidos: “…-- React and JSX are familiar -- The mobile browser experience -- Android and iOS, different yet the same -- The case for mobile web apps -- Summary -- Chapter 13: Kickstarting React Native Projects -- Using the React Native command-line tool -- iOS and Android simulators -- Xcode -- Genymotion -- Running the project -- Running iOS apps -- Running Android apps -- Summary -- Chapter 14: Building Responsive Layouts with Flexbox -- Flexbox is the new layout standard -- Introducing React Native styles -- Building flexbox layouts -- Simple three column layout -- Improved three column layout -- Flexible rows -- Flexible grids -- Flexible rows and columns -- Summary -- Chapter 15: Navigating Between Screens -- Screen organization -- Navigators, scenes, routes, and stacks -- Responding to routes -- Navigation bar -- Dynamic scenes -- Jumping back and forth -- Summary -- Chapter 16: Rendering Item Lists -- Rendering data collections -- Sorting and filtering lists -- Fetching list data -- Lazy list loading -- Summary -- Chapter 17: Showing Progress -- Progress and usability -- Indicating progress -- Measuring progress -- Navigation indicators -- Step progress -- Summary -- Chapter 18: Geolocation and Maps -- Where am I? …”

Tabla de Contenidos: “…-- Applications of POS tagging -- Training a POS tagger -- Training a sentiment classifier for movie reviews -- Training a bag-of-words classifier -- Summary -- Chapter 3: Deep Learning and TensorFlow -- Deep learning -- Perceptron -- Activation functions -- Sigmoid -- Hyperbolic tangent -- Rectified linear unit -- Neural network -- One-hot encoding -- Softmax -- Cross-entropy -- Training neural networks -- Backpropagation -- Gradient descent -- Stochastic gradient descent -- Regularization techniques -- Dropout -- Batch normalization -- L1 and L2 normalization -- Convolutional Neural Network -- Kernel -- Max pooling -- Recurrent neural network -- Long-Short Term Memory -- TensorFlow -- General Purpose - Graphics Processing Unit -- CUDA -- cuDNN -- Installation -- Hello world! …”

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…”