Tabla de Contenidos:

Tabla de Contenidos: “…Auctions with Interdependent Values; 6.1 The Symmetric Model; 6.2 Second-Price Auctions; 6.3 English Auctions; 6.4 First-Price Auctions; 6.5 Revenue Comparisons; 6.5.1 English versus Second-Price Auctions; 6.5.2 Second-Price versus First-Price Auctions; 6.6 Efficiency; Chapter 7. The Revenue Ranking ("Linkage") Principle; 7.1 The Main Result; 7.2 Public Information; 7.3 An Alternative Linkage Principle…”

Tabla de Contenidos: “…2.2 Display and summary of univariate data2.2.1 Histogram and distribution; 2.2.2 Shape of a distribution; 2.2.3 Location; 2.2.4 Variability; 2.3 Data input, output, manipulation and management; 2.3.1 Data input and output; 2.3.2 Stacking and unstacking of data; changing data type and coding; 2.3.3 Case study demonstrating ranking, sorting and extraction of information from date/time data; 2.4 Exercises and follow-up activities; 3 Exploratory data analysis, display and summary of multivariate data; 3.1 Exploratory data analysis; 3.1.1 Stem-and-Leaf displays…”

Tabla de Contenidos: “…-- Validation and Verification -- Techniques for Requirements V&amp -- V -- Walkthroughs -- Inspections -- Goal-Based Requirements Analysis -- Requirements Understanding -- Validating Requirements Use Cases -- Prototyping -- Tools for V&amp -- V -- Requirements V&amp -- V Matrices -- Standards for V&amp -- V -- ISO/IECIEEE Standard 29148 -- Singularity -- Feasibility -- Ambiguity -- Completeness -- Consistency -- Verifiability -- Traceability -- Ranking -- Example Validation of Requirements -- Singular -- Feasible -- Unambiguous -- Complete -- Consistent -- Verifiable -- Traceable -- Ranked -- The Importance of Measurement in Requirements V&amp -- V -- Goal/Question/Metric Analysis -- NASA Requirements Testing -- NASA ARM Tool -- Imperatives -- Continuances -- Directives -- Options -- Weak Phrases -- Incomplete -- Subjects -- Specification Depth -- Readability Statistics -- Summary of NASA Metrics -- Exercises -- Note -- References -- 7 Formal Methods -- Motivation -- What Are Formal Methods? …”

“…Scotland (UK) is a strong innovator, ranking among the top 20% of economies among European regions, with strengths in university-firm collaborations and skills for innovation. …”

Tabla de Contenidos: “…Machine generated contents note: Notes on Contributors viii Editors' Introduction: Science, Technology, and Innovation Go Global 1 Daniele Archibugi and Andrea Filippetti Part I Global Trends 13 1 The Convergence Paradox: The Global Evolution of National Innovation Systems 15 Fulvio Castellacci and Jose Miguel Natera 2 World Top University Rankings: From Distribution to Implications on National Knowledge Creation and Competitiveness 46 Thanh Quang Le and Kam Ki Tang 3 The International Race of Top Supercomputers and Its Implications 69 Kam Ki Tang and Thanh Quang Le 4 Changes in Product Aesthetics: An Omitted Dimension in Economic Analyses of Innovation Activities 88 Paul Stoneman 5 Is the World of Science Moving to the East?…”

Tabla de Contenidos: “…Concatenative Speech Synthesis Using SRELP (Rank, E.). PART II: ISSUES IN PROSODY. Prosody in Synthetic Speech: Problems, Solutions and Challenges (Monaghan, A.). …”

Tabla de Contenidos: “…-- Kapitel 13: Storytelling für Technik- und B2B-Themen -- Es geht am Ende immer um Menschen -- Einfach und emotional statt Business und Buzzwords -- Glaubwürdig und gezielt eine Nische besetzen -- The Epic Split -- Kapitel 14: Employer Branding -- Die Geburtsstunde des Employer Branding -- Werte sind wichtiger als Gehalt -- Employee Storytelling -- Storytelling für Stellenbeschreibungen‌ -- Wo werden Employer-Branding-Storys erzählt? -- DAX-40-Ranking: Storytelling auf Karriereseiten -- Kapitel 15: Leadership Storytelling -- Anlässe für Leadership Storytelling -- Wie erzählen Führungskräfte Geschichten am besten? …”

Tabla de Contenidos: “…-- Tooling -- Synchronization Gap -- Heuristics -- Who Can Do What -- Risk Ranking -- How Perfect Is Perfect Enough? -- Who Is Available, How Much, and When? …”

Tabla de Contenidos: “…4.6 Hadamard Matrices and Graphs4.7 Links to Coding Theory; 4.8 Bent Sequences; 4.9 Mobile Networks, CDMA; 4.10 Remarks; Chapter 5: Properties of Bent Functions; Introduction; 5.1 Degree of a Bent Function; 5.2 Affine Transformations of Bent Functions; 5.3 Rank of a Bent Function; 5.4 Dual Bent Functions; 5.5 Other Properties; Chapter 6: Equivalent Representations of Bent Functions; Introduction; 6.1 Hadamard Matrices; 6.2 Difference Sets; 6.3 Designs; 6.4 Linear Spreads; 6.5 Sets of Subspaces; 6.6 Strongly Regular Graphs; 6.7 Bent Rectangles…”

Tabla de Contenidos: “…; What Reverse Does to Influence; Why Self-Preservation Undermines Influence; Fear Is a Killer; Secure Confidence Wins; How to Say I Am Sorry; The Reverse Challenge; Chapter 10: Ranking Your Gear Order; What Is Your Gear Order?; Gear Order Under Stress; Introvert/Extrovert Gear Order; Understanding Others' Gear Order; Section Three: Living and Leading Connected…”

Tabla de Contenidos: “…Generic transformations -- Java snippets -- The Math Formula node -- Conversion between types -- Binning -- Normalization -- Text normalization -- Regular expressions -- Multiple columns -- XML transformation -- Time transformation -- Smoothing -- Data generation -- Generating the grid -- Constraints -- Loops -- Workflow customization -- Case study - finding min-max in the next n rows -- Case study - ranks within groups -- Summary -- 3. Data Exploration -- Computing statistics -- Overview of visualizations -- Visual guide for the views -- Distance matrix -- Using visual properties -- Color -- Size -- Shape -- KNIME views -- HiLite -- Use cases for HiLite -- Row IDs -- Extreme values -- Basic KNIME views -- The Box plots -- Hierarchical clustering -- Histograms -- Interactive Table -- The Lift chart -- Lines -- Pie charts -- The Scatter plots -- Spark Line Appender -- Radar Plot Appender -- The Scorer views -- JFreeChart -- The Bar charts -- The Bubble chart -- Heatmap -- The Histogram chart -- The Interval chart -- The Line chart -- The Pie chart -- The Scatter plot -- Open Street Map -- 3D Scatterplot -- Other visualization nodes -- The R plot, Python plot, and Matlab plot -- The official R plots -- The RapidMiner view -- The HiTS visualization -- Tips for HiLiting -- Using Interactive HiLite Collector -- Finding connections -- Visualizing models -- Further ideas -- Summary -- 4. …”

Tabla de Contenidos: “…Exterior Algebra; 1.6. Rank of an Exterior Form; I. Exercises; Chapter II: Differentiable Manifolds; 2.1. …”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright Page -- Dedication -- About the Authors -- Contents at a Glance -- Contents -- Introduction -- Chapter 1 Governance -- Organizational Governance -- Organizational Strategy, Goals, and Objectives -- Organizational Structure, Roles, and Responsibilities -- Organizational Culture -- Policies and Standards -- Business Processes -- Organizational Assets -- Risk Governance -- Enterprise Risk Management and Risk Management Frameworks -- Three Lines of Defense -- Risk Profile -- Risk Appetite and Risk Tolerance -- Legal, Regulatory, and Contractual Requirements -- Professional Ethics of Risk Management -- Chapter Review -- Quick Review -- Questions -- Answers -- Chapter 2 IT Risk Assessment -- IT Risk Identification -- Risk Events -- Threat Modeling and Threat Landscape -- Vulnerability and Control Deficiency Analysis -- Risk Scenario Development -- IT Risk Analysis and Evaluation -- Risk Assessment Concepts, Standards, and Frameworks -- Risk Assessment Standards and Frameworks -- Risk Ranking -- Risk Ownership -- Risk Register -- Risk Analysis Methodologies -- Business Impact Analysis -- Inherent and Residual Risk -- Miscellaneous Risk Considerations -- Chapter Review -- Quick Review -- Questions -- Answers -- Chapter 3 Risk Response and Reporting -- Risk Response -- Risk and Control Ownership -- Risk Treatment/Risk Response Options -- Third-Party Risk -- Issues, Findings, and Exceptions Management -- Management of Emerging Risk -- Control Design and Implementation -- Control Types and Functions -- Control Standards and Frameworks -- Control Design, Selection, and Analysis -- Control Implementation -- Control Testing and Effectiveness Evaluation -- Risk Monitoring and Reporting -- Risk Treatment Plans -- Data Collection, Aggregation, Analysis, and Validation -- Risk and Control Monitoring Techniques…”

Tabla de Contenidos: “…Defect Detection Rate -- Escaped Defects -- Chapter 7 Agile Analysis and Design -- Introduction -- Collecting and Validating Requirements of Agile Projects -- Participatory Decision Model -- Product Vision -- Product Roadmap -- Backlog -- Story Maps -- Agile Modeling -- Business Case Development -- Chartering -- Chapter 8 Product Quality and Process Improvement -- Introduction -- Frequent Verification and Validation -- Test-Driven Development (TDD) -- Definition of Done -- Incremental Delivery -- Feedback Techniques for Product -- Continuous Improvement Process -- Process Analysis and Improvement Techniques -- Value Stream Mapping -- Five Whys -- Cause and Effect/Fishbone Diagrams -- Control Limits -- Chapter 9 Interpersonal Skills -- Emotional Intelligence Quotient (EQ) -- Collaboration -- Adaptive Leadership -- Negotiations -- Conflict Resolution -- Quick Quiz on Conflict Management -- Servant Leadership -- Brainstorming Techniques -- Building Empowered Team -- Coaching and Mentoring -- Team Motivation and Knowledge Sharing -- Leadership Styles -- Problem-solving Steps -- Culture and Team Diversity -- Chapter 10 Value-based Prioritization -- Introduction -- Definition of Value -- ROI, NPV, IRR -- Value-driven Delivery -- Elicit Non-functional Requirements -- Relative Prioritization and Ranking -- Value-based Prioritization -- Minimally Marketable Feature (MMF) -- Agile Compliance -- Regulatory Compliance -- Chapter 11 Agile Project Risk Management -- Introduction -- Approaching risk in Agile Projects -- Identify Risks -- Risk Adjusted Backlog -- Risk Burn-down Graphs -- Perform Qualitative Risk Analysis -- Risk-based Spike -- Architectural Spike -- Plan Risk Responses -- Monitoring and Control Risks -- Checkpoints in Agile Projects -- Chapter 12 PMI Code of Ethics and Professional Conduct -- Introduction -- Structure of the Code…”

Tabla de Contenidos: “…Using Scaled Symbols -- Editing the Chart -- Parts of a Whole -- Pie Chart -- Making a Pie Chart -- Donut Chart -- Making a Donut Chart -- Square Pie -- Making a Square Pie Chart -- Treemap -- Making a Treemap -- Editing the Chart -- Rank and Order -- Categories and Time -- Stacked Bar Chart -- Making a Stacked Bar Chart -- Formatting the Data -- Making the Chart -- Stacked Area Chart -- Making a Stacked Area Chart -- Alluvial Diagram -- Making an Alluvial Diagram -- Bump Chart -- Wrapping Up -- Chapter 6 Visualizing Relationships -- Correlation -- Scatterplot -- Making a Scatterplot -- Bubble Plot -- Making a Bubble Plot -- Differences -- Barbell Chart -- Making a Barbell Chart -- Difference Chart -- Making a Difference Chart -- Highlighting Differences -- Multiple Variables -- Heatmap for Multiple Variables -- Making a Heatmap for Multiple Variables -- Parallel Coordinates -- Making Parallel Coordinates -- Separating Views -- Connections -- Network Graph -- Making a Network Graph -- Wrapping Up -- Chapter 7 Visualizing Space -- Working with Spatial Data -- Geocoding Addresses -- Map Projections -- Locations -- Points -- Mapping Points -- Scaled Symbols -- Adding Scaled Symbols -- Lines -- Adding Lines -- Spatial Distributions -- Choropleth Map -- Making a Choropleth Map -- Cartogram -- Making a Cartogram -- Dot Density Map -- Making a Dot Density Map -- Space and Time -- Sequence of Maps -- Animated Map -- Making an Animated Map -- Wrapping Up -- Chapter 8 Analyzing Data Visually -- Gathering Information -- Overviews -- Summaries -- Making a Box Plot -- Distributions -- Quality of the Data -- Adjusting Questions -- Exploring Details -- Comparisons -- Patterns -- Uncertainty -- Outliers -- Drawing Conclusions -- Wrapping Up -- Chapter 9 Designing with Purpose -- Good Visualization -- Infinite Options -- Visualization Components -- Insight for Others…”

Tabla de Contenidos: “…-- Standards and Best Practices for Risk Management -- Methodologies for Assessing Risk Within Industrial Control Systems -- Security Tests -- Security Audits -- Security and Vulnerability Assessments -- Establishing a Testing and Assessment Methodology -- Tailoring a Methodology for Industrial Networks -- Theoretical versus Physical Tests -- Online versus Offline Physical Tests -- System Characterization -- Data Collection -- Scanning of Industrial Networks -- Device Scanners -- Vulnerability Scanners -- Traffic Scanners -- Live Host Identification -- "Quiet" / "Friendly" Scanning Techniques -- Potentially "Noisy"/"Dangerous" Scanning Techniques -- Port Mirroring and Span Ports -- Command Line Tools -- Hardware and Software Inventory -- Data Flow Analysis -- Threat Identification -- Threat Actors/Sources -- Threat Vectors -- Threat Events -- Identification of Threats During Security Assessments -- Vulnerability Identification -- Vulnerability Scanning -- Configuration Auditing -- Vulnerability Prioritization -- Common Vulnerability Scoring System -- Risk Classification and Ranking -- Consequences and Impact…”

Tabla de Contenidos: “…Training a fully connected layer as a convolution layer -- Convolution implementation of sliding window -- Thinking about localization as a regression problem -- Applying regression to other problems -- Combining regression with the sliding window -- Detecting objects -- Regions of the convolutional neural network (R-CNN) -- Fast R-CNN -- Faster R-CNN -- Single shot multi-box detector -- Object detection API -- Installation and setup -- Pre-trained models -- Re-training object detection models -- Data preparation for the Pet dataset -- Object detection training pipeline -- Training the model -- Monitoring loss and accuracy using TensorBoard -- Training a pedestrian detection for a self-driving car -- The YOLO object detection algorithm -- Summary -- Chapter 5: Semantic Segmentation -- Predicting pixels -- Diagnosing medical images -- Understanding the earth from satellite imagery -- Enabling robots to see -- Datasets -- Algorithms for semantic segmentation -- The Fully Convolutional Network -- The SegNet architecture -- Upsampling the layers by pooling -- Sampling the layers by convolution -- Skipping connections for better training -- Dilated convolutions -- DeepLab -- RefiNet -- PSPnet -- Large kernel matters -- DeepLab v3 -- Ultra-nerve segmentation -- Segmenting satellite images -- Modeling FCN for segmentation -- Segmenting instances -- Summary -- Chapter 6: Similarity Learning -- Algorithms for similarity learning -- Siamese networks -- Contrastive loss -- FaceNet -- Triplet loss -- The DeepNet model -- DeepRank -- Visual recommendation systems -- Human face analysis -- Face detection -- Face landmarks and attributes -- The Multi-Task Facial Landmark (MTFL) dataset -- The Kaggle keypoint dataset -- The Multi-Attribute Facial Landmark (MAFL) dataset -- Learning the facial key points -- Face recognition…”

Tabla de Contenidos: “…. -- How it works... -- Using PageRank to determine airport ranking -- Getting ready -- How to do it... -- How it works... -- Finding the fewest number of connections -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Visualizing the graph -- Getting ready -- How to do it... -- How it works... -- Index…”

Tabla de Contenidos: “…Using user-defined functions -- Breaking down the user-defined function syntax -- Doing "stuff" with user-defined functions -- Getting familiar with lambda functions -- Creating good functions -- Handling files in Python -- Opening files with pandas -- Wrangling data with pandas -- Handling missing data -- Selecting data -- Sorting data -- Merging data -- Aggregation with groupby() -- Summary -- References -- Chapter 4: Visualizing Data and Data Storytelling -- Understanding data visualization -- Bar charts -- Line charts -- Scatter plots -- Histograms -- Density plots -- Quantile-quantile plots (Q-Q plots) -- Box plots -- Pie charts -- Surveying tools of the trade -- Power BI -- Tableau -- Shiny -- ggplot2 (R) -- Matplotlib (Python) -- Seaborn (Python) -- Developing dashboards, reports, and KPIs -- Developing charts and graphs -- Bar chart - Matplotlib -- Bar chart - Seaborn -- Scatter plot - Matplotlib -- Scatter plot - Seaborn -- Histogram plot - Matplotlib -- Histogram plot - Seaborn -- Applying scenario-based storytelling -- Summary -- Chapter 5: Querying Databases with SQL -- Introducing relational databases -- Mastering SQL basics -- The SELECT statement -- The WHERE clause -- The ORDER BY clause -- Aggregating data with GROUP BY and HAVING -- The GROUP BY statement -- The HAVING clause -- Creating fields with CASE WHEN -- Analyzing subqueries and CTEs -- Subqueries in the SELECT clause -- Subqueries in the FROM clause -- Subqueries in the WHERE clause -- Subqueries in the HAVING clause -- Distinguishing common table expressions (CTEs) from subqueries -- Merging tables with joins -- Inner joins -- Left and right join -- Full outer join -- Multi-table joins -- Calculating window functions -- OVER, ORDER BY, PARTITION, and SET -- LAG and LEAD -- ROW_NUMBER -- RANK and DENSE_RANK -- Using date functions -- Approaching complex queries -- Summary…”