Tabla de Contenidos: “…Elasticsearch DSL query -- Visualize -- Kibana aggregations -- Bucket aggregations -- Metric -- Creating a visualization -- Visualization types -- Line, area, and bar charts -- Data table -- MarkDown widget -- Metric -- Goal -- Gauge -- Pie charts -- Co-ordinate maps -- Region maps -- Tag cloud -- Visualizations in action -- Response codes over time -- Top 10 URLs requested -- Bandwidth usage of top five countries over time -- Web traffic originating from different countries -- Most used user agent -- Dashboards -- Creating a dashboard -- Saving the dashboard -- Cloning the dashboard -- Sharing the dashboard -- Timelion -- Timelion UI -- Timelion expressions -- Using plugins -- Installing plugins -- Removing plugins -- Summary -- Chapter 8: Elastic X-Pack -- Installing X-Pack -- Installing X-Pack on Elasticsearch -- Installing X-Pack on Kibana -- Uninstalling X-Pack -- Configuring X-Pack -- Security -- User authentication -- User authorization -- Security in action -- New user creation -- Deleting a user -- Changing the password -- New role creation -- How to Delete/Edit a role -- Document-level security or field-level security -- X-Pack security APIs -- User management APIs -- Role management APIs -- Monitoring Elasticsearch -- Monitoring UI -- Elasticsearch metrics -- Overview tab -- Nodes tab -- The Indices tab -- Alerting -- Anatomy of a watch -- Alerting in action -- Create a new alert -- Threshold Alert -- Advanced Watch -- How to Delete/Deactivate/Edit a Watch -- Summary -- Chapter 9: Running Elastic Stack in Production -- Hosting Elastic Stack on a managed cloud -- Getting up and running on Elastic Cloud -- Using Kibana -- Overriding configuration -- Recovering from a snapshot -- Hosting Elastic Stack on your own -- Selecting hardware -- Selecting an operating system -- Configuring Elasticsearch nodes -- JVM heap size -- Disable swapping…”

Tabla de Contenidos: “…-- Doing it in Python -- Have a go hero -- Multiple linear regression model -- Averaging k simple linear regression models or a multiple linear regression model -- Time for action - averaging k simple linear regression models -- What just happened? …”

Tabla de Contenidos: “…Computing free cash flow -- Forecasting free cash flow -- Calculating the Weighted Average Cost of Capital -- Understanding why the weighted average cost of capital is so important -- Measuring the cost of debt and equity -- Understanding the capital asset pricing model -- Going for Terminal Value -- Knowing the perpetuity growth formula -- Applying the constant growth formula -- Applying the two-stage growth model -- Stress-testing the results -- Valuing a Share of Stock -- Chapter 13 Structuring a Leveraged Buyout -- Seeing How Leveraged Buyouts Are Structured -- The types of financing -- Understanding seniority and maturity -- Building a Leveraged Buyout Model -- Creating a pro forma model -- Deciding on methods of financing -- Seeing how the results work out -- The importance of taxes in a leveraged buyout -- What can go right and what can go wrong -- Chapter 14 Determining the Strength of a Company's Return on Equity -- Understanding the Importance of Return on Equity -- What return on equity shows -- Pros and cons of return on equity versus other profitability measures -- How return on equity can help guide an investment banking deal -- Using a DuPont Analysis -- The three-factor DuPont method -- The five-factor DuPont method -- Interpreting the Results -- Cola wars -- What the numbers mean -- Looking past the numbers for insight -- Telling companies how to react to the numbers -- Part 4 Applying Investment Banking -- Chapter 15 Knowing the Rules -- The History of Regulation of Investment Banking -- The goals of investment banking regulation -- Why the rules of today are the result of days past -- How regulations have shaped the investment banking industry -- The Ins and Outs of Modern Investment Banking Rules -- The types of rules imposed on investment banking -- How investment banking rules changed after the financial crisis…”

Tabla de Contenidos: “…R2 (or coefficient of determination) -- Specific (or residual) risk -- Treynor ratio (reward to volatility) -- Appraisal ratio (or Treynor‐Black ratio) -- Factor Models -- Fama decomposition -- Selectivity -- Diversification -- Net selectivity -- Fama‐French three‐factor model -- Three‐factor alpha (or Fama‐French alpha) -- Carhart four‐factor model -- Four‐factor alpha (or Carhart's alpha) -- Multi‐factor models -- Drawdown -- Average drawdown -- Maximum drawdown -- Largest individual drawdown -- Recovery time (or drawdown duration) -- Drawdown deviation -- Ulcer index -- Pain index -- Calmar ratio (or drawdown ratio) -- MAR ratio -- Sterling ratio -- Sterling‐Calmar ratio -- Burke ratio -- Modified Burke ratio -- Martin ratio (or ulcer performance index) -- Pain ratio -- Partial Moments -- Downside risk (or semi‐standard deviation) -- Downside potential -- Pure downside risk -- Half variance (or semi‐variance) -- Upside risk (or upside uncertainty) -- Mean absolute moment -- Omega ratio (Ω) -- Bernardo and Ledoit (or gain-loss) ratio -- d ratio -- Omega-Sharpe ratio -- Sortino ratio -- Reward to half‐variance -- Downside‐risk Sharpe ratio -- Sortino-Satchell ratio -- Upside potential ratio -- Volatility skewness -- Variability skewness -- Farinelli-Tibiletti ratio -- Prospect ratio -- Fixed Income Risk -- Pricing fixed income instruments -- Redemption yield (yield to maturity) -- Weighted average cash flow -- Duration (effective mean term, discounted mean term or volatility) -- Macaulay duration -- Macaulay-Weil duration -- Modified duration -- Portfolio duration -- Effective duration (or option‐adjusted duration) -- Duration to worst -- Convexity -- Modified convexity -- Effective convexity -- Portfolio convexity -- Bond returns -- Duration beta -- Reward to duration -- Miscellaneous Risk Measures -- Hurst index (or Hurst exponent) -- Bias ratio…”

Tabla de Contenidos: “…Technical requirements -- Likelihood -- A simple probabilistic model -- Log likelihood -- Maximum likelihood estimation -- What we have learned -- Bayes' theorem -- Conditional probability and Bayes' theorem -- Priors -- The posterior -- What we have learned -- Bayesian modeling -- Bayesian model averaging -- MAP estimation -- As ​N​ becomes large the prior becomes irrelevant -- Least squares as an approximation to Bayesian modeling -- What we have learned -- Bayesian modeling in practice -- Analytic approximation of the posterior -- Computational sampling -- MCMC code example -- Probabilistic programming languages -- What we have learned -- Summary -- Exercises -- Part 2: Intermediate Concepts -- Chapter 6: Time Series and Forecasting -- Technical requirements -- What is time series data? …”

Tabla de Contenidos: “…Neck Measurement -- Step 3. Average Abdominal Measurement -- Step 4. Average Neck Measurement -- Step 5. …”

“…Defugint enfocaments anteriors, més centrats en les condicions particulars de l'individu, s'entén que el desenvolupament serà fruit de la interacció del subjecte, amb el seu equipament biològic de base - que pot estar alterat o no -, amb els adults significatius i companys en els contextos bàsics de desenvolupament, és a dir, la família, l'escola i la societat…”

Tabla de Contenidos: “…Tratamiento -- ¿Cuándo suspender la vía oral por alerta de ECN? -- Tratamiento de la ECN sospechada (etapa I) -- Tratamiento de la ECN comprobada (etapa II) -- Tratamiento de la ECN complicada (etapa III) -- Tratamiento quirúrgico -- Pronóstico -- Secuelas de la ECN -- Bibliografía -- Capítulo 19-Defectos de la pared abdominal: onfalocele y gastrosquisis -- Introducción -- Onfalocele -- Definición -- Anormalidades asociadas -- Diagnóstico -- Momento del parto -- Tratamiento -- Complicaciones y pronóstico -- Gastrosquisis -- Definición -- Diagnóstico -- Momento del parto -- Tratamiento -- Complicaciones y pronóstico -- Diferencias entre el onfalocele y la gastrosquisis -- Bibliografía -- Unidad 3-Hematología -- Capítulo 20- Púrpura trombocitopénica inmune -- Capítulo 21-Anemia de células falciformes -- Generalidades -- Fisiopatología -- Diagnóstico -- Manifestaciones clínicas -- Crisis vasoclusivas dolorosas -- Priapismo -- Síndrome torácico agudo -- Crisis aplásicas -- Secuestro esplénico -- Fiebre y bacteriemia -- Dolor abdominal y síndrome del cuadrante abdominal superior -- Enfermedad cerebrovascular (ECV) -- Bibliografía -- Capítulo 22-Enfoque del niño que sangra -- Introducción -- Historia clínica y examen físico -- Paraclínicos -- Hemoleucograma con diferencial -- Extendido de sangre periférica (ESP) -- Tiempo de protrombina (TP), tiempo de tromboplastina parcial (TPT) y fibrinógeno -- Tiempo de sangría -- Concentración de factores de la coagulación -- Algoritmo diagnóstico -- Tratamiento -- Hemoderivados -- Otros medicamentos con indicaciones específicas -- Bibliografía -- Capítulo 23-Anemias hemolíticas -- Introducción -- Hemólisis intravascular y extravascular -- Hemólisis intravascular -- Hemólisis extravascular -- Origen -- Origen inmunológico -- Origen no inmunológico -- Manifestaciones clínicas -- Laboratorio -- Tratamiento…”

Tabla de Contenidos: “…Desastres y salud pública -- Definición -- Panorama mundial sobre los desastres -- Ciclo de los desastres -- Fase de preparación -- Fase de alerta -- Fase de impacto -- Fase de emergencia, socorro o asistencia humanitaria -- Fase de rehabilitación y reconstrucción -- Respuesta temprana a un desastre -- Preparación para la respuesta inmediata ante emergencias o desastres -- Acciones del sector salud como respuesta temprana emergencias o desastres -- Abastecimiento de agua y sus buenas condiciones para el consumo -- Fomento de la higiene personal y ambiental -- En el concepto de higiene personal -- En relación con la disposición de excretas -- En cuanto a los desechos sólidos -- Manejo de aguas residuales -- Seguridad alimentaria -- Refugios y asentamientos -- Artículos de uso -- Servicios de salud -- Indicadores -- Bibliografía -- Capítulo 12 .TIC y salud pública -- Introducción -- Conceptos básicos -- Tecnologías de la Información y la Comunicación (TIC) -- eSalud -- Telemedicina -- IoT -- Big data en salud -- Inteligencia artificial en salud -- Contexto de las tecnologías de la información y la comunicación (TIC) en la salud pública -- Tecnologías de la información y la comunicación (TIC) en las competencias de la salud pública -- Tecnologías de la información y la comunicación (TIC) en la promoción, información, educación y form -- Tecnologías de la información y la comunicación (TIC) en el monitoreo y seguimiento del tratamiento -- Tecnologías emergentes en apoyo a la salud pública -- Monitoreo continuo -- Supermercado de la salud -- Hogar conectado -- Acceso automático del paciente -- Círculos del cuidado vital…”

Tabla de Contenidos: “….- ¿Qué significa calidad total?; 1.1.- Un toque de alerta; 1.2.- Conceptos introductorios; 1.3.- Visión ecosistémica de la calidad total; 1.4.- ¿Por qué implantar la calidad total?…”

Tabla de Contenidos: “…List of Symbols xv -- List of Figures xxi -- List of Tables xxv -- 1 Introduction: Spray Drying and Reactive Drying Processes 1 -- 1.1 Spray Polymerisation. 2 -- 1.2 Single Droplet Models for Spray Drying . 3 -- 1.3 Meshfree Methods, Simulation of Structure Evolution4 -- 1.3.1 Previous Applications of SPH to Drying . 5 -- 2 Theoretical Principles 7 -- 2.1 Transport Equations 7 -- 2.1.1 Transport in a Mass Averaged System 9 -- 2.1.2 Transport in a Molar Averaged System . 13 -- 2.1.3 Reference Velocities and Conversion between Systems . 13 -- 2.1.4 Eulerian and Lagrangian Frames of Reference16 -- 2.2 Diffusion . 17 -- 2.2.1 Fickian Diffusion . 17 -- 2.2.2 Maxwell-Stefan Diffusion 19 -- 2.2.3 Determination of Diffusion Coefficients . 21 -- 2.3 Modelling of Free Radical Polymerisation 21 -- 2.3.1 Reactions in Free Radical Polymerisation 22 -- 2.3.2 Quasi-Steady-State Assumption (QSSA) 27 -- 2.3.3 Method of Moments . 28 -- 2.4 Mixture Thermodynamics 31 -- 2.4.1 Vapour Liquid Equilibrium at the Droplet's Surface . 32 -- 2.4.2 Calculation of Activity Coefficients . 33 -- 2.4.3 The UNIFAC Equations . 34 -- 2.5 Spray Drying: Basic Assumptions 35 -- 2.5.1 Approximate Residence Time in a Spray Dryer . 36 -- 2.5.2 Heat and Mass Transfer . 37 -- 2.5.3 Inner Circulation Inside a Droplet 38 -- 2.5.4 Are Droplets Fully Mixed? …”

Tabla de Contenidos: “…Preguntas pechadas; 9.7. Preguntas abertas; TEMA 10; 10.1. Comparación dos adxectivos; 10.2. …”

Tabla de Contenidos: “…-- Types of optimizers -- Gradient descent -- Different variants of gradient descent -- Algorithms to optimize gradient descent -- Which optimizer to choose -- Optimization with an example -- Summary -- Chapter 4: Convolutional Neural Networks -- An overview and the intuition of CNN -- Single Conv Layer Computation -- CNN in TensorFlow -- Image loading in TensorFlow -- Convolution operations -- Convolution on an image -- Strides -- Pooling -- Max pool -- Example code -- Average pool -- Image classification with convolutional networks -- Defining a tensor for input images and the first convolution layer -- Input tensor -- First convolution layer -- Second convolution layer -- Third convolution layer…”

Tabla de Contenidos: “…Industrial Papers (Invited) -- Data Mining as an Automated Service -- Trends and Challenges in the Industrial Applications of KDD -- Stream Mining I -- Finding Event-Oriented Patterns in Long Temporal Sequences -- Mining Frequent Episodes for Relating Financial Events and Stock Trends -- Graph Mining -- An Efficient Algorithm of Frequent Connected Subgraph Extraction -- Classifier Construction by Graph-Based Induction for Graph-Structured Data -- Clustering I -- Comparison of the Performance of Center-Based Clustering Algorithms -- Automatic Extraction of Clusters from Hierarchical Clustering Representations -- Text Mining -- Large Scale Unstructured Document Classification Using Unlabeled Data and Syntactic Information -- Extracting Shared Topics of Multiple Documents -- An Empirical Study on Dimensionality Optimization in Text Mining for Linguistic Knowledge Acquisition -- A Semi-supervised Algorithm for Pattern Discovery in Information Extraction from Textual Data -- Bio Mining -- Mining Patterns of Dyspepsia Symptoms Across Time Points Using Constraint Association Rules -- Predicting Protein Structural Class from Closed Protein Sequences -- Learning Rules to Extract Protein Interactions from Biomedical Text -- Predicting Protein Interactions in Human by Homologous Interactions in Yeast -- Web Mining -- Mining the Customer’s Up-To-Moment Preferences for E-commerce Recommendation -- A Graph-Based Optimization Algorithm for Website Topology Using Interesting Association Rules -- A Markovian Approach for Web User Profiling and Clustering -- Extracting User Interests from Bookmarks on the Web -- Stream Mining II -- Mining Frequent Instances on Workflows -- Real Time Video Data Mining for Surveillance Video Streams -- Distinguishing Causal and Acausal Temporal Relations -- Bayesian Networks -- Online Bayes Point Machines -- Exploiting Hierarchical Domain Values for Bayesian Learning -- A New Restricted Bayesian Network Classifier -- Clustering II -- AGRID: An Efficient Algorithm for Clustering Large High-Dimensional Datasets -- Multi-level Clustering and Reasoning about Its Clusters Using Region Connection Calculus -- An Efficient Cell-Based Clustering Method for Handling Large, High-Dimensional Data -- Association Rules I -- Enhancing SWF for Incremental Association Mining by Itemset Maintenance -- Reducing Rule Covers with Deterministic Error Bounds -- Evolutionary Approach for Mining Association Rules on Dynamic Databases -- Semi-structured Data Mining -- Position Coded Pre-order Linked WAP-Tree for Web Log Sequential Pattern Mining -- An Integrated System of Mining HTML Texts and Filtering Structured Documents -- A New Sequential Mining Approach to XML Document Similarity Computation -- Classification I -- Optimization of Fuzzy Rules for Classification Using Genetic Algorithm -- Fast Pattern Selection for Support Vector Classifiers -- Averaged Boosting: A Noise-Robust Ensemble Method -- Improving Performance of Decision Tree Algorithms with Multi-edited Nearest Neighbor Rule -- Data Analysis -- HOT: Hypergraph-Based Outlier Test for Categorical Data -- A Method for Aggregating Partitions, Applications in K.D.D. -- Efficiently Computing Iceberg Cubes with Complex Constraints through Bounding -- Extraction of Tag Tree Patterns with Contractible Variables from Irregular Semistructured Data -- Association Rules II -- Step-by-Step Regression: A More Efficient Alternative for Polynomial Multiple Linear Regression in Stream Cube -- Progressive Weighted Miner: An Efficient Method for Time-Constraint Mining -- Mining Open Source Software (OSS) Data Using Association Rules Network -- Parallel FP-Growth on PC Cluster -- Feature Selection -- Active Feature Selection Using Classes -- Electricity Based External Similarity of Categorical Attributes -- Weighted Proportional k-Interval Discretization for Naive-Bayes Classifiers -- Dealing with Relative Similarity in Clustering: An Indiscernibility Based Approach -- Stream Mining III -- Considering Correlation between Variables to Improve Spatiotemporal Forecasting -- Correlation Analysis of Spatial Time Series Datasets: A Filter-and-Refine Approach -- When to Update the Sequential Patterns of Stream Data? …”

Tabla de Contenidos: “…Trust in government in Brazil aligns with other Latin American countries but is below the OECD average -- 2.2.2. Levels of trust vary across institutions but are generally low in Brazil -- 2.2.3. …”

Tabla de Contenidos: “…Intro -- Foreword -- Acknowledgements -- Abbreviations and acronyms -- Annual average exchange rate: 1 USD = PLN -- 1 USD = EUR -- Executive summary -- The DAC's recommendations to Poland -- Highlights from the 2023 Development Co-operation Peer Review of Poland (infographic) -- Poland's development co-operation at a glance (infographic) -- Findings and recommendations -- Context -- Poland's political and economic context presents challenges and opportunities for its evolving development co-operation system -- Recent crises are severely impacting Poland's priority partner countries -- Fit-for-purpose institutional arrangements -- Poland's legal and strategic framework provide a foundation for a whole-of-government development co-operation effort -- The MFA's Department of Development Cooperation is responsible for steering Polish Aid, but its mandate and capacity to do so need reaffirming and strengthening -- Poland has an opportunity to reinvigorate and realign its evolving system to better deliver on its policy objectives -- As the Solidarity Fund evolves, clear roles and responsibilities will enable Poland to make the most of its unique strengths -- Human resources are a significant bottleneck and need investing in as a priority -- A more co-ordinated approach would also increase consistency between policy goals and promote policy coherence for development -- Poland's bilateral programme: Priorities and programming -- ODA volume has not reflected Poland's strong economic trajectory and continues to comprise a large share of in-donor costs at the expense of country programmable aid -- Increasing the geographic and thematic focus of Poland's small bilateral ODA budget would enhance quality and impact -- Ongoing reliance on annual projects limits Poland's ability to plan strategically in line with partner country priorities…”

Tabla de Contenidos: “…2.7.2 Fixed-Point Numbers2.7.3 Floating-Point Numbers; 2.8 Summary; References; 3 Digital Filters; 3.1 How to Specify a Filter; 3.2 Moving-Average Filters; 3.2.1 Area under a Curve; 3.2.2 Mean of a Given Sequence; 3.2.3 Mean over a Fixed Number of Samples; 3.2.4 Linear Phase Filters; 3.2.5 MA Filter with Complex Coefficients; 3.3 Infinite Sequence Generation; 3.3.1 Digital Counter; 3.3.2 Noise Sequence; 3.3.3 Numerically Controlled Oscillator; 3.4 Unity-Gain Narrowband Filter; 3.5 All-Pass Filter; 3.5.1 Interpolation of Data Using an APF; 3.5.2 Delay Estimation Using an APF; 3.6 Notch Filter…”

Tabla de Contenidos: “…1.3.4.1 Reference Data Set1.3.5 Probability of Class Memberships; 1.3.6 Class Membership of Individual Voxels; 1.3.7 Classification of Individual Voxels; 1.3.8 Clustering into Segments; 1.3.9 Classification of Segments; 1.3.10 Future Directions; References; 2 Evaluation of Tomographic Data; 2.1 Introduction; 2.2 Image Reconstruction; 2.3 Image Data Representation: Pixel Size and Image Resolution; 2.4 Consequences of Limited Spatial Resolution; 2.5 Tomographic Data Evaluation: Tasks; 2.5.1 Software Tools; 2.5.2 Data Access; 2.5.3 Image Processing; 2.5.3.1 Slice Averaging…”

Tabla de Contenidos: “…Lists -- Lists in Scratch -- Creating Lists -- List Commands -- Add and Delete -- Insert and Replace -- Accessing List Elements -- The Contains Block -- Bounds Checking -- Dynamic Lists -- Filling Lists with User Input -- Creating a Bar Chart -- Numerical Lists -- Finding Min and Max -- Finding the Average -- Searching and Sorting Lists -- Linear Search -- Frequency of Occurrence -- Bubble Sort -- Finding the Median -- Scratch Projects -- The Poet -- Quadrilateral Classification Game -- Math Wizard -- Flower Anatomy Quiz -- Other Applications -- Summary -- Problems -- A. …”