Tabla de Contenidos: “…Creating new quick filtersSummary; Chapter 4: JIRA Agile for Kanban; Kanban; Understanding the Kanban board; Creating a new Kanban board; Customizing your Kanban board; Visualizing workflows with Kanban; Setting up column constraints; Controlling what issues to show on the board; Organizing your Kanban board with swimlanes; Creating custom views with quick filters; Releasing a version in Kanban; Improving your team's performance; Improving the process with charts and reports; Cumulative flow diagram; Control chart; Customizing the control chart; Summary; Chapter 5: JIRA Agile - Advanced…”

Tabla de Contenidos: “…References -- Summary -- Chapter 5: Bayesian Regression Models -- Generalized linear regression -- The arm package -- The Energy efficiency dataset -- Regression of energy efficiency with building parameters -- Ordinary regression -- Bayesian regression -- Simulation of the posterior distribution -- Exercises -- References -- Summary -- Chapter 6: Bayesian Classification Models -- Performance metrics for classification -- The Naïve Bayes classifier -- Text processing using the tm package -- Model training and prediction -- The Bayesian logistic regression model -- The BayesLogit R package -- The dataset -- Preparation of the training and testing datasets -- Using the Bayesian logistic model -- Exercises -- References -- Summary -- Chapter 7: Bayesian Models for Unsupervised Learning -- Bayesian mixture models -- The bgmm package for Bayesian mixture models -- Topic modeling using Bayesian inference -- Latent Dirichlet allocation -- R packages for LDA -- The topicmodels package -- The lda package -- Exercises -- References -- Summary -- Chapter 8: Bayesian Neural Networks -- Two-layer neural networks -- Bayesian treatment of neural networks -- The brnn R package -- Deep belief networks and deep learning -- Restricted Boltzmann machines -- Deep belief networks -- The darch R package -- Other deep learning packages in R -- Exercises -- References -- Summary -- Chapter 9: Bayesian Modeling at Big Data Scale -- Distributed computing using Hadoop -- RHadoop for using Hadoop from R -- Spark - in-memory distributed computing -- SparkR -- Linear regression using SparkR -- Computing clusters on the cloud -- Amazon Web Services -- Creating and running computing instances on AWS -- Installing R and RStudio -- Running Spark on EC2 -- Microsoft Azure -- IBM Bluemix -- Other R packages for large scale machine learning -- The parallel R package…”

“…What You Will Learn Use UFPS to build custom weapons with custom meshes and behaviors Explore level design as you prototype levels, making use of Prototype to build levels out quickly Build environments that are realistic as possible while keeping peak performance and repetitiveness down Review tips and tricks on how to create environments using both terrain for outdoor areas and a modular workflow for interiors Develop a number of different encounters that your players can fight against, from a simple turret enemy to complex AI characters from Shooter AI Discover how to create unique objects such as exploding barrels and objects you can interact with Create a custom GUI to help your game stand out from the crowd Package your game for release, create an installer, and get your game out into the world In Detail Unity, available in free and pro versions, is one of the most popular third-party game engines available. …”

“…La visione dominante nelle nostre società sembra intendere la vita come un capitale di cui ogni individuo sarebbe dotato, collezione di crediti e skill che deve essere valorizzata per produrre performance caratterizzate da sempre maggiore rapidità, impatto, efficienza. …”

Tabla de Contenidos: “…Satisfy the customer's eyes Satisfy the customer's skin; Enter through all doors at once; 07 Be remarkable; The only purpose of the brain is to please itself; Sex sells; The food that gives pleasure; 08 Be moving; Manage the customer's emotions; Stress to enhance the marketing performance; Make a film out of your offers to move the customer; 09 Be unforgettable; Increase your customer's memory; Becoming unforgettable is also remembering your customers; 10 Be beyond suspicion; Influence the customer by increasing the leadership of the product and salesperson…”

“…Written by two internationally-recognized experts in the field of stress management, Cooper and Palmer provide a thorough understanding of the psychological causes of stress and the resulting physical effects, enabling you to build your own personal plan, improve well-being and enhance your performance at work. Full of insight and examples from real people, a brand new chapter provides a practical worksheet to help you develop your problem solving skills and reduce stress day-to-day. …”

Tabla de Contenidos: “…Custom Formatting -- Conditional Formatting -- Sparklines -- Bulletproofing Your Model -- Customising The Display Settings -- Form Controls -- Summary -- Chapter 8 Tools For Financial Modelling -- Hiding Sections Of A Model -- Grouping -- Array Formulas -- Goal Seeking -- Structured Reference Tables -- Pivottables -- Macros -- Summary -- Chapter 9 Common Uses Of Tools In Financial Modelling -- Escalation Methods For Modelling -- Understanding Nominal And Effective (Real) Rates -- Calculating Cumulative Totals -- How To Calculate A Payback Period -- Weighted Average Cost Of Capital (Wacc) -- Building A Tiering Table -- Modelling Depreciation Methods -- Break-Even Analysis -- Summary -- Chapter 10 Model Review -- Rebuilding An Inherited Model -- Improving Model Performance -- Auditing A Financial Model -- Summary -- Appendix 10.1: Qa Log -- Chapter 11 Stress-Testing, Scenarios, And Sensitivity Analysis In Financial Modelling -- What Are The Differences Between Scenario, Sensitivity, And What-If Analyses? …”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright -- Contents -- List of Contributors -- Preface -- Abbreviations and Acronyms -- Chapter 1 Computer Vision in Vehicles -- 1.1 Adaptive Computer Vision for Vehicles -- 1.1.1 Applications -- 1.1.2 Traffic Safety and Comfort -- 1.1.3 Strengths of (Computer) Vision -- 1.1.4 Generic and Specific Tasks -- 1.1.5 Multi-module Solutions -- 1.1.6 Accuracy, Precision, and Robustness -- 1.1.7 Comparative Performance Evaluation -- 1.1.8 There Are Many Winners -- 1.2 Notation and Basic Definitions -- 1.2.1 Images and Videos -- 1.2.2 Cameras -- 1.2.3 Optimization -- 1.3 Visual Tasks -- 1.3.1 Distance -- 1.3.2 Motion -- 1.3.3 Object Detection and Tracking -- 1.3.4 Semantic Segmentation -- 1.4 Concluding Remarks -- Acknowledgments -- Chapter 2 Autonomous Driving -- 2.1 Introduction -- 2.1.1 The Dream -- 2.1.2 Applications -- 2.1.3 Level of Automation -- 2.1.4 Important Research Projects -- 2.1.5 Outdoor Vision Challenges -- 2.2 Autonomous Driving in Cities -- 2.2.1 Localization -- 2.2.2 Stereo Vision-Based Perception in 3D -- 2.2.3 Object Recognition -- 2.3 Challenges -- 2.3.1 Increasing Robustness -- 2.3.2 Scene Labeling -- 2.3.3 Intention Recognition -- 2.4 Summary -- Acknowledgments -- Chapter 3 Computer Vision for MAVs -- 3.1 Introduction -- 3.2 System and Sensors -- 3.3 Ego-Motion Estimation -- 3.3.1 State Estimation Using Inertial and Vision Measurements -- 3.3.2 MAV Pose from Monocular Vision -- 3.3.3 MAV Pose from Stereo Vision -- 3.3.4 MAV Pose from Optical Flow Measurements -- 3.4 3D Mapping -- 3.5 Autonomous Navigation -- 3.6 Scene Interpretation -- 3.7 Concluding Remarks -- Chapter 4 Exploring the Seafloor with Underwater Robots -- 4.1 Introduction -- 4.2 Challenges of Underwater Imaging -- 4.3 Online Computer Vision Techniques -- 4.3.1 Dehazing -- 4.3.2 Visual Odometry -- 4.3.3 SLAM -- 4.3.4 Laser Scanning…”

Tabla de Contenidos: “…A Snapshot of Stall Catchers -- Contributing to Cope With Everyday Life -- Personal Connections -- Meaningful Contributions -- A Phenomenon Between Play and Science -- Mutual Supportive Science/Play Entanglements -- Out‐Of‐The‐Box Thinking -- Making a "Boring" Task Enjoyable and Keeping the Motivation Up -- Legitimizing Play -- Play/Science Frictions -- A "Balancing Act" -- Goals of Science versus Goals of Game -- Uncertainty and Unpredictability of Science versus the Rigidity of Game -- Hierarchies Between Play and Science -- "Success" Has Different Meanings for Game and Science -- Adaptations and Practices Beyond Design -- Ameliorating the Participant-Technological Performance -- Reading Data Differently and Playing Games in Games -- Exploring Boundaries -- Emerging Spaces in Play/Science Entanglements and Frictions -- 6 Intraversions: Human-Technology Relations in Flux -- Never Obsolete: Intraversions of Participant-Technology Relations in Foldit -- Foldit's Legend -- Introducing the Artificial Intelligence System AlphaFold in Foldit -- "First Use No Humans:" Intraversions of Participant-Technology Relations in Stall Catchers -- "The Machines Are Coming:" Artificial Intelligence Bots in Stall Catchers -- GAIA's Debut -- Three Bots in Stall Catchers -- Reconfigurations of Participant-Technology Relations -- Extending the Loop: Intraversions of Researcher-Technology Relations -- Getting Lost in the Brain -- Processing and Translating Data -- Machine Learning for Data Segmentation -- Automated Post‐Processing -- Data Curation: Manually Intervening and Editing -- Closing the Loop -- Reconfiguring Data, the Pipeline, and Researcher-Technology Relations -- Moving Forward in Concert -- Contingent, Imagined, and Emergent Intraversions -- 7 Building Trust in and With Human Computation -- Trust as an Analytical Concept -- Trust as a Sociomaterial Practice…”

Tabla de Contenidos: “…Preface -- Contributors -- Chapter 1 Complex-Valued Adaptive Signal Processing -- 1.1 Introduction -- -- 1.2 Preliminaries -- 1.3 Optimization in the Complex Domain -- 1.4 Widely Linear Adaptive Filtering -- 1.5 Nonlinear Adaptive Filtering with Multilayer Perceptrons -- 1.6 Complex Independent Component Analysis -- 1.7 Summary -- 1.8 Acknowledgment -- 1.9 Problems -- References -- Chapter 2 Robust Estimation Techniques for Complex-Valued Random Vectors -- 2.1 Introduction -- 2.2 Statistical Characterization of Complex Random Vectors -- 2.3 Complex Elliptically Symmetric (CES) Distributions -- 2.4 Tools to Compare Estimators -- 2.5 Scatter and Pseudo-Scatter Matrices -- 2.6 Array Processing Examples -- 2.7 MVDR Beamformers Based on M-Estimators -- 2.8 Robust ICA -- 2.9 Conclusion -- 2.10 Problems -- References -- Chapter 3 Turbo Equalization -- 3.1 Introduction -- 3.2 Context -- 3.3 Communication Chain -- 3.4 Turbo Decoder: Overview -- 3.5 Forward-Backward Algorithm -- 3.6 Simplified Algorithm: Interference Canceler -- 3.7 Capacity Analysis -- 3.8 Blind Turbo Equalization -- 3.9 Convergence -- 3.10 Multichannel and Multiuser Settings -- 3.11 Concluding Remarks -- 3.12 Problems -- References -- Chapter 4 Subspace Tracking for Signal Processing -- 4.1 Introduction -- 4.2 Linear Algebra Review -- 4.3 Observation Model and Problem Statement -- 4.4 Preliminary Example: Oja's Neuron -- 4.5 Subspace Tracking -- 4.6 Eigenvectors Tracking -- 4.7 Convergence and Performance Analysis Issues -- 4.8 Illustrative Examples -- 4.9 Concluding Remarks -- 4.10 Problems -- References -- Chapter 5 Particle Filtering -- 5.1 Introduction -- 5.2 Motivation for Use of Particle Filtering -- 5.3 The Basic Idea -- 5.4 The Choice of Proposal Distribution and Resampling -- 5.5 Some Particle Filtering Methods -- 5.6 Handling Constant Parameters -- 5.7 Rao-Blackwellization -- 5.8 Prediction -- 5.9 Smoothing -- 5.10 Convergence Issues -- 5.11 Computational Issues and Hardware Implementation -- 5.12 Acknowledgments…”

Tabla de Contenidos: “…What Business Leaders Can Do to Develop Skills, Effectiveness and Performance -- But Business Needs Support -- 5 Protecting the Environment: An Essential Priority -- Save the Planet! …”

“…As these practices have become critically important for organizations' efforts to improve performance, talent development professionals have often been slow to embrace them for many reasons, including the seeming complexity and challenge of the practices. …”

“…Two contrasting organizational templates allow theorizing fundamental trade-offs shaping CSOs' 'performance' on three dimensions: participation, representation, and societal responsiveness…”

Tabla de Contenidos: “…Positive public administration for sustainable development: the crucial role of municipalities in driving success -- 9. What explains the performance of participatory governance? -- 10. Improving the public purse: the Kenya Revenue Authority as an example of positive public administration in Africa -- 11. …”

Tabla de Contenidos: “…AIRLINE INDUSTRY -- FAA DATA ON SELECTED INCIDENTS -- REFERENCES -- 2 Environmental Control Systems on Commercial Passenger Aircraft -- DESCRIPTION OF ENVIRONMENTAL CONTROL SYSTEMS -- Compressed-Air Sources -- The Environmental Control Unit -- Air Distribution -- Exhaust Systems -- Recirculation Systems -- Temperature Control -- Pressure Control -- PERFORMANCE OF ENVIRONMENTAL CONTROL SYSTEMS -- Load Factors -- EFFECT OF VENTILATION ON TOTAL CABIN ENVIRONMENT -- Ventilation and Contamination -- Air Velocity and Cabin Flow Patterns -- Relative Humidity -- Ozone -- Effect of Recirculation on Contamination -- Cost of Ventilation -- REFERENCES -- 3 Standards, Regulations, and Industry Practices -- U.S. …”

Tabla de Contenidos: “…Section; 7.1 Introduction; 7.2 DAC Overview; 7.3 DC Test Overview; 7.4 Linearity Test Overview; 7.5 AC Test Overview; 7.6 Dynamic Performance Tests; Chapter Review Questions; CHAPTER 8. …”

Tabla de Contenidos: “…; body; 1 The Basics; 1.1 Control Systems; 1.2 Anatomy of a Control System; 1.3 Closed Loop Control; 1.4 Controllers; 1.5 About This Book; 2 Z Transforms; 2.1 Signals and Systems; 2.2 Difference Equations; 2.3 The Z Transform; 2.4 The Inverse Z Transform; 2.5 Some Z Transform Properties; 2.6 Transfer Functions; 2.7 Stability in the Z Domain; 2.8 Frequency Response; 2.9 Conclusion; 3 Performance; 3.1 Tracking; 3.2 Frequency Response; 3.3 Disturbance Rejection; 3.4 Conclusion; 4 Block Diagrams…”

Tabla de Contenidos: “…SummaryChapter 9: Reflection, Serialization, and Remoting; Reflection; Serialization; Remoting; Summary; Chapter 10: Generics Guidelines; An Evolving List; Defining Guidelines; Organization; Identifying Generic Opportunities; Balancing Readability with Expressiveness; Using BCL Generic Types; Applying Constraints; The Kitchen Sink; Summary; Chapter 11: Under the Hood; Overview; Assumptions; High-Level Goals; IL Representation of Generic Types; Specialization and Sharing; Exact Run-Time Types; Support for Polymorphic Recursion; NGen and Generic Types; Performance; Memory Footprint…”

“…Authors Matha and Boehm present research showing that all managers can improve performance by using the principles outlined in Beyond the Babble. …”

Tabla de Contenidos: “…Data Structure Tuning; Data Access Policies; Responsibility; Security and Privileges; Views; Storage Engines; Foreign Key Constraints; Performance; Indexes; Helping the Query Optimizer: Analyze Table; Accessing Replication Slave Servers; Speed and Data Types; Table Size Reduction; In-Column Data Encoding; Case Study's Final Structure; Vehicle; Person; Sale; Other tables; Summary; 6. …”