Tabla de Contenidos: “…Conversion errors and artifacts -- 4.5.2. Performances of typical converters -- 4.6. Conclusion -- 5. …”

Tabla de Contenidos:

Tabla de Contenidos: “…-- A Big Lesson or Big Result -- Chapter 6 Your Core Team -- Build Your Team -- Team Building Lessons from the British Military -- Create a High Performance Culture from the Start -- Maxim 1: You Get what You Pitch for . . . …”

Tabla de Contenidos: “…9.9 Predefined Schema Simple Types -- 9.10 EMF Extensions -- Part III: Using the EMF Generator -- Chapter 10 EMF Generator Patterns -- 10.1 Modeled Classes -- 10.2 Attributes -- 10.3 References -- 10.4 Feature Maps -- 10.5 Operations -- 10.6 Class Inheritance -- 10.7 Reflective Methods -- 10.8 Factories and Packages -- 10.9 Switch Classes and Adapter Factories -- 10.10 Alternative Generator Patterns -- 10.11 Customizing Generated Code -- Chapter 11 EMF.Edit Generator Patterns -- 11.1 Item Providers -- 11.2 Item Provider Adapter Factories -- 11.3 Editor -- 11.4 Action Bar Contributor -- 11.5 Wizard -- 11.6 Plug-Ins -- Chapter 12 Running the Generators -- 12.1 EMF Code Generation -- 12.2 The Generator UI -- 12.3 Generator Model Properties -- 12.4 The Command-Line Generator Tools -- 12.5 The Generator Ant Tasks -- 12.6 The Template Format -- Chapter 13 Example-Implementing a Model and Editor -- 13.1 Getting Started -- 13.2 Generating the Model -- 13.3 Implementing Volatile Features -- 13.4 Implementing Data Types -- 13.5 Running the ExtendedPO2 Editor -- 13.6 Restricting Reference Targets -- 13.7 Splitting the Model into Multiple Packages -- 13.8 Editing Multiple Resources Concurrently -- Part IV: Programming with EMF -- Chapter 14 Exploiting Metadata -- 14.1 Packages -- 14.2 Reflection -- 14.3 Dynamic EMF -- 14.4 Extended Metadata -- Chapter 15 Persistence -- 15.1 Overview of the Persistence Framework -- 15.2 The EMF Persistence API -- 15.3 XML Resources -- 15.4 EMF Resource and Resource Factory Implementations -- 15.5 Performance Considerations -- 15.6 Custom Storage for Active Objects -- Chapter 16 Client Programming Toolbox -- 16.1 Tree Iterators and Switches -- 16.2 Adapters -- 16.3 Cross-Referencers -- 16.4 Copying Objects -- 16.5 Comparing Objects -- Chapter 17 The Change Model -- 17.1 Describing a Change -- 17.2 Change Recording…”

Tabla de Contenidos: “…Thinking Recursively 13.3 Recursive Helper Methods 13.4 The Efficiency of Recursion 13.5 Permutations 13.6 Mutual Recursions 13.7 Backtracking Chapter 14 Sorting and Searching 14.1 Selection Sort 14.2 Profiling the Selection Sort Algorithm 14.3 Analyzing the Performance of the Selection Sort Algorithm 14.4 Merge Sort 14.5 Analyzing the Merge Sort Algorithm 14.6 Searching 14.7 Binary Search 14.8 Sorting Real Data Chapter 15 The Java Collections Framework 15.1. …”

Tabla de Contenidos: “…Key Delivery Message (KDM) -- Transport -- Theater Storage and Projection -- Theater Management Systems (TMS) -- Showtime Projection -- Projector Types -- Summary - The Impact of Distribution Systems on Production Workflows -- Wrapup - Content Delivery to Multiple Distribution Systems -- 7 Archive and Preservation -- Introduction -- Why Digital Archive -- Creation -- Consumption -- Archive -- Libraries, Repositories, and Archives -- Digital Library -- Digital Repository and Digital Archive -- Preservation -- Library and Archive Science -- Forever Is a Long Time -- What Is an Asset -- Asset Value -- The Asset Construct -- Technical Metadata -- Connecting Metadata and Essence -- Data Scale -- Enterprise and Broadcast Technology Collide -- Backup -- Hierarchical Storage Management (HSM) -- Content Storage Management (CSM) and Active Archive -- Software Defined Archive (SDA) -- Build versus Buy -- Storage Technology -- Solid State -- Hard Drives -- Optical Disc -- Data Tape -- Public Cloud Services -- Future Technologies -- Storage Classifications -- Tier 0 Storage -- Tier 1 Storage -- Tier 2 Storage -- Tier 3 Storage -- Tier 4 Storage -- Storage Tier Summary -- The Anatomy of a Digital Archive -- Storage Abstraction -- Storage Orchestration -- Archive Maintenance -- Asset Integrity -- Connecting the Bits and Pieces -- Archive Transformation and Modernization -- Standards-Based Digital Asset Protection -- Archive eXchange Format (AXF) Standard -- A Closer Look -- AXF Structures -- Inside an AXF Object -- History of AXF -- Conclusion -- 8 Looking Ahead -- Looking Deep into the Future: Al Kovalick -- The Granddaddy of Exponential Laws in Electronics -- The Power of the Exponential -- The Evolution of Infrastructure Elements -- Software Powers Media Workflows -- Networking Capability and Performance -- Infrastructure Rides the Exponential…”

Tabla de Contenidos: “…Introduction How to get the most out of this book Section 1 How to manage people Introduction T1 Fayol's 14 principles of management part 1: structure and control T2 Fayol's 14 principles of management part 2: working relationships T3 Taylor and scientific management T4 Mayo and the Hawthorn experiments T5 Urwick's ten principles of management T6 Drucker on the functions of management T7 McGregor's X and Y theory T8 Peters and Waterman's theory of management T9 Covey's 7 habits of highly effective people T10 Management by walking about (MBWA) A final word on management Section 2 How to lead people Introduction T11 Trait theory T12 The Michigan and Ohio basic style theory T13 Blake and Mouton's leadership grid T14 Adair's action centred leadership T15 Fiedler's contingency theory T16 Hersey and Blanchard's situational leadership T17 Burn's transactional leadership theory T18 Dansereau, Graen and Haga leader member exchange (LMX) theory T19 House and charismatic leadership theory T20 Burns and transformational leadership T21 Bass and transformational leadership T22 Bennis and Nanus and transformational leadership A final word on leadership Section 3 How to motivate staff Introduction T23 Maslow's hierarchy of needs theory T24 Alderfer's existence, relatedness and growth (ERG) theory T25 McClellands achievement and acquired needs theory T26 Herzberg's motivation and hygiene theory T27 Adam's equity theory T28 Vroom's expectancy theory T29 The Hackman and Oldham job characteristic model T30 Ernst's OK Corral model T31 Berne's theory of transactional analysis A final word on motivation Section 4 How to build and manage teams Introduction T32 Belbin's team roles T33 Maccoby's Gamesman theory T34 Likert's theory of team management styles T35 Drexler/ Sibbet Team Performance Model T36 Homan's theory of group formation T37 Tuckman's group development sequence model T38 Wheelan's integrated model of group development T39 Locke's goal setting theory A final word on teams Section 5 How to analyse organisational culture Introduction T40 Handy's model of organisational culture T41 Deal and Kennedy's risk and feedback model T42 Morgan's organisational metaphors T43 Graves's cultural leadership theory T44 Schein's three levels of organisational culture T45 Johnson and Scholes' cultural web T46 Hofstede's six cross-organisational dimensions T47 Hargreaves and Balkanised cultures A final word on organisational culture Section 6 How to lead change Introduction T48 The Kubler-Ross coping with change cycle model T49 Shewhart's plan-do-check-act (PDCA) model T50 Lewin's freeze/unfreeze model T51 Lewin's force field analysis T52 Kotter's eight step approach to change T53 Moss-Kanter and change masters T54 Burke-Letwin's drivers for change T55 Egan's shadow side theory A final word on leading change Section 7 Strategic management Introduction T56 Johnson and Scholes the seven stages of strategic planning T57Ansoff Top down approaches to strategic management (the modernist approach) T58 Peters and Waterman strategic planning as chaos (the post-modernist approach tostrategic management) T59 Quinn, Hamdi and Prahaland middle of the road strategic management (the new modernist approach) T60 The Boston Consulting Group matrix theory T61 The McKinsey 7S framework model T62 Johnson, Scholes and Wittingham's stakeholder mapping theory T63 Porter's value chain theory T64 Porter's five forces theory T65 SWOT analysis T66 PEST/PESTLE analysis T67 Scenario planning A final word on strategic management Section 8 How to manage quality Introduction T68 Deming's seven deadly diseases of quality T69Juran's quality trilogy T70 Crosby's maturity grid model T71 Peters and Waterman's excellence model T72 Ishikawa cause and effect (fishbone) model T73 Imai's Kaizan 5S housekeeping theory T74 The Benchmarking matrix T75 The Excellence Model A final word on quality management Section 9 How to exercise authority, power and influence Introduction T76 Weber's tripartite theory of authority T77 French and Ravens the five sources of power T78 Sources of influence T79 Machiavelli's guide to survival T80 Ronson's Psychopath's test A final word on authority, influence power and ethics Section 10 - The best of the rest. …”

Tabla de Contenidos: “…Resource Planning -- 3.1.2.10. Key Performance Indicators -- 3.1.2.11. Master Schedule Model -- 3.1.2.12. …”

Tabla de Contenidos: “…Code example -- TensorFlow useful elements -- An autoencoder without the decoder -- Selecting layers -- Training only some layers -- Complete source -- Summary -- Chapter 8: Machine Learning Best Practices and Troubleshooting -- Building Machine Learning Systems -- Data Preparation -- Split of Train/Development/Test set -- Mismatch of the Dev and Test set -- When to Change Dev/Test Set -- Bias and Variance -- Data Imbalance -- Collecting more data -- Look at your performance metric -- Data synthesis/Augmentation -- Resample Data -- Loss function Weighting -- Evaluation Metrics -- Code Structure best Practice -- Singleton Pattern -- Recipe for CNN creation -- Summary -- Chapter 9: Training at Scale -- Storing data in TFRecords -- Making a TFRecord -- Storing encoded images -- Sharding -- Making efficient pipelines -- Parallel calls for map transformations -- Getting a batch -- Prefetching -- Tracing your graph -- Distributed computing in TensorFlow -- Model/data parallelism -- Synchronous/asynchronous SGD -- When data does not fit on one computer -- The advantages of NoSQL systems -- Installing Cassandra (Ubuntu 16.04) -- The CQLSH tool -- Creating databases, tables, and indexes…”

Tabla de Contenidos: “…-- Agile Architecture -- SOA -- SOA and Agile Architecture Synergies -- Final Thoughts -- References -- Author -- Chapter 5: Data Warehouse Appliances -- Introduction -- Architectural Drivers and Trade-Offs -- Data Warehouse Appliances Trends and Techniques -- High Performance Techniques -- Smart Queries…”

Tabla de Contenidos: “…. -- A DNA SEQUENCE DATA BANK DEDICATED TO A HUMAN GENOME PROJECT -- A Concerted Initiative Aimed at Determining the Sequence of the Human Genome Will Generate Large Amounts of DNA Sequence Data -- All Data Must Be Entered Electronically or Magnetically -- An Initial Analysis Should Be Performed by a Central Facility -- An Example of an Initial Sequence Analysis -- Establishing an Efficient Computer Network -- The Need for Research on Data Analysis -- The Estimated Cost -- CONCLUSIONS -- REFERENCES -- 7 Implementation and Management Strategies -- FUNDING A HUMAN GENOME PROJECT -- Projects with the Potential to Make Substantial Technological Improvements in Genome Analysis Should Receive Top Priority -- Both Small Research Laboratories and Larger Multidisciplinary Centers Should Be Encouraged -- The Establishment of a Single Large Production Center is Not Advisable at Present -- Decisions for Funding Should Be Made by Peer Review -- The Human Genome Project Requires New and Distinctive Funding of About 200 Million per Year -- Mapping Efforts Should Be Accelerated and Coordinated -- The Sequencing Effort Should Evolve and Grow with Time -- International Collaboration on the Project Is Desirable -- MANAGING A HUMAN GENOME PROJECT -- Three Possible Organizational Plans -- Organizational Plan A: A Lead Agency and a Scientific Advisory Board -- Organizational Plan B: An Interagency Committee and Scientific Advisory Board…”

Tabla de Contenidos: “…DB2 connectivity options -- 2.1 Accessing DB2 from a Java program -- 2.2 JDBC driver types -- 2.2.1 Type 1 -- 2.2.2 Type 2 -- 2.2.3 Type 3 -- 2.2.4 Type 4 -- 2.3 Connecting from WebSphere to DB2 on z/OS -- 2.4 Different connectivity scenarios -- 2.5 Local DB2 connection -- 2.5.1 Local DB2 connection: Attributes -- 2.6 Remote DB2 connection -- 2.6.1 Remote DB2 connection: Attributes -- 2.7 Mixed DB2 configuration: local T2 and remote T4 -- 2.8 Mixed DB2 configuration: Local and remote with the same T4 driver -- 2.9 Comparing DB2 performance -- 2.10 Local DB2 with availability -- 2.11 Remote DB2 with availability -- 2.12 Security options -- 2.13 Security considerations for DB2 connections -- 2.14 Migration from legacy JDBC driver to T2 UD -- 2.15 SQLJ -- Chapter 3. …”

Tabla de Contenidos: “…Chapter 7: Building the ML Workflow Using AWS Step Functions -- Technical requirements -- Building the state machine workflow -- Setting up the service permissions -- Creating an ML workflow -- Performing the integration test -- Monitoring the pipeline's progress -- Summary -- Section 4: Optimizing a Data-Centric Approach to Automated Machine Learning -- Chapter 8: Automating the Machine Learning Process Using Apache Airflow -- Technical requirements -- Introducing Apache Airflow -- Introducing Amazon MWAA -- Using Airflow to process the abalone dataset -- Configuring the MWAA prerequisites -- Configuring the MWAA environment -- Summary -- Chapter 9: Building the ML Workflow Using Amazon Managed Workflows for Apache Airflow -- Technical requirements -- Developing the data-centric workflow -- Building and unit testing the data ETL artifacts -- Building the Airflow DAG -- Creating synthetic Abalone survey data -- Executing the data-centric workflow -- Cleanup -- Summary -- Section 5: Automating the End-to-End Production Application on AWS -- Chapter 10: An Introduction to the Machine Learning Software Development Life Cycle (MLSDLC) -- Technical requirements -- Introducing the MLSDLC -- Building the application platform -- Examining the role of the application owner -- Examining the role of the platform engineers -- Examining the role of the frontend developers -- Examining ML and data engineering roles -- Creating a SageMaker Feature Store -- Creating ML artifacts -- Creating continuous training artifacts -- Understanding the security lens -- Securing the data -- Securing the code -- Securing the website -- Summary -- Chapter 11: Continuous Integration, Deployment, and Training for the MLSDLC -- Technical requirements -- Codifying the continuous integration stage -- Building the integration artifacts -- Building the test artifacts…”

Tabla de Contenidos: “…Freezing layers -- Freezing layers during forward propagation -- Reducing computation cost during forward propagation -- Freezing layers during backward propagation -- Exploring memory and storage resources -- Understanding model decomposition and distillation -- Model decomposition -- Model distillation -- Reducing bits in hardware -- Summary -- Section 3 - Advanced Parallelism Paradigms -- Chapter 9: Hybrid of Data and Model Parallelism -- Technical requirements -- Case study of Megatron-LM -- Layer split for model parallelism -- Row-wise trial-and-error approach -- Column-wise trial-and-error approach -- Cross-machine for data parallelism -- Implementation of Megatron-LM -- Case study of Mesh-TensorFlow -- Implementation of Mesh-TensorFlow -- Pros and cons of Megatron-LM and Mesh-TensorFlow -- Summary -- Chapter 10: Federated Learning and Edge Devices -- Technical requirements -- Sharing knowledge without sharing data -- Recapping the traditional data parallel model training paradigm -- No input sharing among workers -- Communicating gradients for collaborative learning -- Case study: TensorFlow Federated -- Running edge devices with TinyML -- Case study: TensorFlow Lite -- Summary -- Chapter 11: Elastic Model Training and Serving -- Technical requirements -- Introducing adaptive model training -- Traditional data parallel training -- Adaptive model training in data parallelism -- Adaptive model training (AllReduce-based) -- Adaptive model training (parameter server-based) -- Traditional model-parallel model training paradigm -- Adaptive model training in model parallelism -- Implementing adaptive model training in the cloud -- Elasticity in model inference -- Serverless -- Summary -- Chapter 12: Advanced Techniques for Further Speed-Ups -- Technical requirements -- Debugging and performance analytics…”

Tabla de Contenidos: “…4.4.2 Measure Cells Shortly After Detachment -- 4.4.3 Perform Only Few Experiments per Day -- 4.4.4 Use Preferably New Electrodes -- 4.4.5 Use Small Voltage Signals -- 4.4.6 Do not apply a DC potential to impedance experiments -- 4.5 Conclusions -- 5 Measuring the Cell Surface Charge -- 5.1 Introduction -- 5.2 Low Frequency Dispersion of Colloidal Particles Suspended in Electrolyte Solutions -- 5.3 Dimensional Analysis of Equation 5.7 -- 5.4 Correction of Schwarz Model to 4T Experiments -- 5.5 Experimental Results: Calculation of the Cell Surface Charge -- 5.6 Comments on Schwarz Theory -- 5.7 Conclusions -- 6 Measuring Adherent Cells -- 6.1 Introduction -- 6.2 Theoretical Background -- 6.2.1 Working Principle -- 6.2.2 Presence of the Double Layer -- 6.2.3 Equivalent Circuit Model to Analyse the Cells Attached to Interdigitated Electrodes -- 6.3 Experimental Procedure -- 6.4 Experimental Results -- 6.4.1 Cell Attachment and Growth -- 6.4.2 Evaluating Chemotheraphy Effects -- 6.5 Conclusions -- 7 Spectral Response of Healthy Tissues and Solid Tumors -- 7.1 Theoretical Background -- 7.2 Spectral Response of Healthy Tissues -- 7.3 Tumor Composition and Organization -- 7.4 Main Structural Differences Between Tumor and Healthy Tissues -- 7.5 Comparison Tumor vs. …”

Tabla de Contenidos: “…Mazigo and Jorg Heukelbach Diagnostic Performance of Kato Katz Technique and Point-of-Care Circulating Cathodic Antigen Rapid Test in Diagnosing Schistosoma mansoni Infection in HIV-1 Co-Infected Adults on the Shoreline of Lake Victoria, Tanzania Reprinted from: Trop. …”

Tabla de Contenidos: “…-- Perpetuierung tradierter Geschlechtervorstellungen - Eine Fragestellung -- Alte Gebäude in neuem (Erziehungs‐)Gewand -- Arbeit und Freiräume machen Geschlechter -- Die wohnende Frau, der arbeitende Mann -- Räumliche und geschlechtsspezifische Aspekte der Anstaltsrichtlinien -- Schlussüberlegungen -- Die Okkupation des Raumes -- Sophie Taeuber‐Arp for Greatness -- Performance und Performativität -- Raum -- Fazit -- Performanz -- Die Maske des Ahnen -- 1 Einleitung -- 2 Imago, cera, eikōn: Maske aus Wachs und Abbild des Ahnen -- 3 Die anwesenden Abwesenden -- 3.1 Imagines maiorum und die pompa funebris -- 3.2 Die Masken im Atrium -- 3.3 Die Maske des Ahnen - ein wertvolles Gut -- 4 Fazit: Sozialisation junger »ehrgeiziger« Römer -- 5 Abkürzungen antiker Quellen -- Live Like a Viking -- Einleitung: »When you leave here, you'll leave as Vikings« -- Historische Authentizität in den Historical Game Studies -- Ein Gefühl von Geschichte: Authentizität als Marketingtechnik -- LikeAViking: Assassin's Creeds Versprechen vom Geschichtstourismus -- Narrative und spielmechanische Techniken von Genderkonstruktionen entlang des Gegensatzes Wikinger:innen und Christentum -- Fazit -- Autor:innen -- Personenregister…”

Tabla de Contenidos: “…-- 12.5 Worked Example - HALE UAV -- 12.6 Cells, Batteries, and Real Life -- 12.6.1 Cycle Life, Charge, and Discharge Rates -- 12.6.2 Payload -- 12.6.3 Avionics -- 12.6.4 Temperature -- 12.6.5 End‐of‐Life Performance -- 12.6.6 Protection -- 12.6.7 Balancing - Useful Capacity -- 12.6.8 Summary of Real‐World Issues -- 12.7 A Quick Aside on Regenerative Fuel Cells -- 12.8 So What Do We Need from Our Battery Suppliers? …”

Tabla de Contenidos: “…3.5 Conditional pdf for Real-Valued Gaussian Random Variables -- 3.6 Conditional pdf in Additive Noise Model -- 3.7 Complex Gaussian Random Variables -- 3.7.1 Single Complex Gaussian Random Variable -- 3.7.2 Circular Complex Gaussian Random Variable -- 3.7.3 Multivariate Complex Gaussian Random Variables -- 3.8 Sum of Square of Gaussians: Chi-Square -- 3.9 Order Statistics for N rvs -- Chapter 4 Random Processes and Linear Systems -- 4.1 Moment Characterizations and Stationarity -- 4.2 Random Processes and Linear Systems -- 4.3 Complex-Valued Random Processes -- 4.4 Pole-Zero and Rational Spectra (Discrete-Time) -- 4.4.1 Stability of LTI Systems -- 4.4.2 Rational PSD -- 4.4.3 Paley-Wiener Theorem -- 4.5 Gaussian Random Process (Discrete-Time) -- 4.6 Measuring Moments in Stochastic Processes -- Appendix A: Transforms for Continuous-Time Signals -- Appendix B: Transforms for Discrete-Time Signals -- Chapter 5 Models and Applications -- 5.1 Linear Regression Model -- 5.2 Linear Filtering Model -- 5.2.1 Block-Wise Circular Convolution -- 5.2.2 Discrete Fourier Transform and Circular Convolution Matrixes -- 5.2.3 Identification and Deconvolution -- 5.3 MIMO systems and Interference Models -- 5.3.1 DSL System -- 5.3.2 MIMO in Wireless Communication -- 5.4 Sinusoidal Signal -- 5.5 Irregular Sampling and Interpolation -- 5.5.1 Sampling With Jitter -- 5.6 Wavefield Sensing System -- Chapter 6 Estimation Theory -- 6.1 Historical Notes -- 6.2 Non-Bayesian vs. Bayesian -- 6.3 Performance Metrics and Bounds -- 6.3.1 Bias -- 6.3.2 Mean Square Error (MSE) -- 6.3.3 Performance Bounds -- 6.4 Statistics and Sufficient Statistics -- 6.5 MVU and BLU Estimators -- 6.6 BLUE for Linear Models -- 6.7 Example: BLUE of the Mean Value of Gaussian rvs -- Chapter 7 Parameter Estimation -- 7.1 Maximum Likelihood Estimation (MLE) -- 7.2 MLE for Gaussian Model xN(μ(θ),C(θ))…”

Tabla de Contenidos: “…Convert lists to a data frame and perform an analysis that meets business requirements -- Step 8-8. …”