“…Information technology is becoming ingrained in our everyday life. The consequence of this is that the line between humans and technology is more and more blurred, and tends to transform the human being into a cyber-organism. …”

“…Competition reflect the elements of bargaining or control and related conflicts, seeking private gains for the[ir] own party."-- p.9 (Preface)…”

“…Wishful thinking is a deeply ingrained human trait that has had a long-term distorting effect on ethical thinking. …”

Tabla de Contenidos: “…Core 6.1.1. Cold rolled grain oriented and HIB magnetic steel 6.1.2. Amorphous steel 6.2. …”

Tabla de Contenidos: “…4.1.4 Persistence -- 4.2 Writing the smallest OpenAPI definition in Swagger Editor -- 4.2.1 The smallest valid OpenAPI definition -- 4.2.2 Writing in Swagger Editor -- 4.2.3 A word on validation -- 4.3 Adding GET /reviews to our definition -- 4.4 Interacting with our API -- 4.4.1 Executing GET /reviews -- 4.4.2 Adding servers to our definition -- 4.4.3 Executing GET /reviews (again) -- Summary -- 5 Describing API responses -- 5.1 HTTP responses -- 5.2 The problem -- 5.3 The mind-blowing world of data schemas -- 5.4 JSON Schema -- 5.4.1 The type field -- 5.4.2 Adding a field to an object -- 5.4.3 The minimum and maximum keywords -- 5.4.4 Number vs. integer -- 5.5 Status codes -- 5.6 Media types (aka MIME) -- 5.7 Describing the GET /reviews response -- 5.7.1 Smallest response in OpenAPI -- 5.7.2 The GET /reviews 200 response body -- 5.7.3 Adding the rating field to our response body -- 5.7.4 Describing message, uuid, and userId -- Summary -- 6 Creating resources -- 6.1 The problem -- 6.2 Describing POST /reviews with a request body -- 6.2.1 Where to find request bodies -- 6.2.2 Describing the schema for POST /reviews requestBody -- 6.3 Executing operations with request bodies -- 6.3.1 Adding examples to make try-it-out look pretty -- 6.4 Describing GET /reviews/{reviewId} with a path parameter -- 6.4.1 Path parameters -- 6.4.2 Describing the reviewId path parameter -- 6.5 Verifying our reviews are getting created -- Summary -- 7 Adding authentication and authorization -- 7.1 The problem -- 7.2 Getting set up for authentication -- 7.2.1 Challenge: Describe POST /users -- 7.2.2 Challenge: Describe POST /tokens -- 7.2.3 Solution: Definition changes -- 7.2.4 Verifying we can create users and get a token -- 7.3 Adding the Authorization header -- 7.3.1 How OpenAPI handles authorization -- 7.3.2 Types of authorization (securities) supported in OpenAPI 3.0.x…”

Tabla de Contenidos: “…Front Cover -- Applied Underwater Acoustics -- Applied Underwater Acoustics -- Copyright -- Dedication -- Contents -- List of Contributors -- Preface -- 1 - General Characteristics of the Underwater Environment -- 1.1 INTRODUCTION -- 1.2 A BRIEF EXPOSITION OF THE HISTORY OF UNDERWATER ACOUSTICS -- 1.2.1 UNDERWATER ACOUSTICS BEFORE 1912 -- 1.2.2 THE YEARS 1912 THROUGH 1918 -- 1.2.3 THE YEARS 1919 THROUGH 1939 -- 1.2.4 THE YEARS 1940 THROUGH 1946 -- 1.2.5 THE YEARS AFTER 1946 -- 1.3 INTERNATIONAL STANDARD UNITS -- 1.4 THE DECIBEL SCALES -- 1.5 FEATURES OF OCEANOGRAPHY -- 1.5.1 SOUND SPEED PROFILES -- 1.5.2 THERMOCLINES -- 1.5.3 ARCTIC REGIONS -- 1.5.4 DEEP ISOTHERMAL LAYERS -- 1.5.5 EXPRESSIONS FOR THE SPEED OF SOUND -- 1.5.6 SURFACE WAVES -- 1.5.7 INTERNAL WAVES -- 1.5.8 BUBBLES FROM WAVE BREAKING -- 1.5.9 OCEAN ACIDIFICATION -- 1.5.10 DEEP-OCEAN HYDROTHERMAL FLOWS -- 1.5.11 EDDIES, FRONTS, AND LARGE-SCALE TURBULENCE -- 1.5.12 DIURNAL AND SEASONAL CHANGES -- 1.6 SONAR EQUATIONS -- 1.6.1 DEFINITIONS OF THE SONAR EQUATION TERMS -- 1.6.2 SONAR EQUATIONS -- 1.7 ABBREVIATIONS -- Acknowledgment -- REFERENCES -- 2 - Sound Propagation -- 2.1 THE CONCEPT OF WAVES -- 2.1.1 THE WAVE EQUATION FOR AN INVISCID FLUID -- 2.1.2 THE HELMHOLTZ EQUATION -- 2.1.3 HARMONIC WAVES -- 2.1.4 PLANE WAVES -- 2.1.5 CYLINDRICAL WAVES -- 2.1.6 SPHERICAL WAVES -- 2.1.7 PLANE WAVE DECOMPOSITION OF A SPHERICAL WAVE -- 2.2 SOUND PROPAGATION IN A VISCOUS FLUID -- 2.2.1 DISPERSION FORMULAS -- 2.2.2 KRAMERS-KRONIG DISPERSION RELATIONS -- 2.2.3 CAUSALITY AND STOKES' EQUATION -- 2.2.4 PULSE PROPAGATION IN A VISCOUS FLUID -- 2.3 SOUND WAVES AND SHEAR WAVES IN MARINE SEDIMENTS -- 2.3.1 THE BIOT THEORY -- 2.3.2 THE GRAIN-SHEARING THEORY -- 2.4 SOURCE OR RECEIVER IN MOTION -- 2.4.1 DOPPLER FREQUENCY SHIFTS (SOURCE STATIONARY, OBSERVER IN MOTION)…”

Tabla de Contenidos: “…11.2.5 Session Auditing -- 11.2.6 SYSDBA-Aktivitäten überwachen -- 11.2.7 Fine Grained Auditing (FGA) -- 11.3 Virtual Private Database (VPD) -- 11.3.1 Application Context -- 11.3.2 Eine VPD konfigurieren -- 11.4 Database Vault -- Kapitel 12: Der Oracle Resource Manager -- Kapitel 13: Globalization Support -- 13.1 Datentypen mit Zeitzonen -- 13.2 Die Hierarchie der NLS-Parameter -- 13.3 Linguistische Sortierung und Vergleiche -- 13.4 Der Oracle Locale Builder -- 13.5 Der Character Set Scanner -- 13.6 Sprachen im Enterprise Manager -- Kapitel 14: Die XML-Datenbank -- 14.1 Die Architektur der XML-DB -- 14.2 XML-Dokumente speichern -- 14.2.1 Die dokumentenbasierte Speicherung -- 14.2.2 Die objektrelationale Speicherung -- 14.3 XML-Dokumente abfragen -- Kapitel 15: Automatic Storage Management (ASM) -- 15.1 Storage-Systeme -- 15.1.1 Network Attached Storage (NAS) -- 15.1.2 Internet SCSI (iSCSI) -- 15.1.3 Storage Area Network (SAN) -- 15.2 Die ASM-Architektur im Überblick -- 15.3 ASM-Disks -- 15.3.1 ASM-Disks auf verschiedenen Plattformen -- 15.3.2 Eine Testumgebung aufsetzen -- 15.4 Die ASM-Instanz -- 15.5 Diskgruppen -- 15.6 ASM überwachen und verwalten -- 15.6.1 ASM-Performance -- 15.6.2 ASMCMD -- 15.6.3 Verwaltung mit dem Enterprise Manager -- 15.7 Das ASM Cluster-Filesystem -- 15.7.1 General Purpose ACFS-Dateisystem -- 15.8 CRS Managed ACFS-Dateisystem -- 15.8.1 ACFS Snapshots -- 15.9 Eine Datenbank nach ASM konvertieren -- Kapitel 16: Upgrade und Patching -- 16.1 Ein Upgrade umfassend planen -- 16.2 Upgrade-Pfad -- 16.3 Upgrade-Methoden -- 16.4 Upgrade mit dem DBUA -- 16.5 Upgrade mit dem Oracle Enterprise Manager -- 16.6 Manuelles Upgrade -- 16.7 Upgrade auf Pluggable Database -- 16.8 Patching -- 16.8.1 Patching mit OPatch -- 16.8.2 Patching mit dem Enterprise Manager -- Teil III: Erweiterte Administration und Spezialthemen…”

Tabla de Contenidos: “…Fujisawa 367 -Preliminary results of grain refinement of ODS alloy by equal channel angular pressing by J-S. …”

Tabla de Contenidos: “…6.3.1 - No-History Reference Tables -- 6.3.2 - History-Based Reference Tables -- 6.3.3 - Code and Descriptions -- 6.3.3.1 - Code and Descriptions with History -- Reference -- Chapter 7 - Dimensional Modeling -- 7.1 - Introduction -- 7.2 - Star Schemas -- 7.2.1 - Fact Tables -- 7.2.1.1 - The Grain of a Fact Table -- 7.2.2 - Dimension Tables -- 7.2.3 - Querying Star Schemas -- 7.3 - Multiple Stars -- 7.3.1 - Conformed Dimensions -- 7.4 - Dimension Design -- 7.4.1 - Slowly Changing Dimensions -- 7.4.2 - Hierarchies -- 7.4.3 - Snowflake Design -- References -- Chapter 8 - Physical Data Warehouse Design -- 8.1 - Database Workloads -- 8.1.1 - Workload Characteristics -- 8.2 - Separate Environments for Development, Testing, and Production -- 8.2.1 - Blue-Green Deployment -- 8.3 - Microsoft Azure Cloud Computing Platform -- 8.4 - Physical Data Warehouse Architecture on Premise -- 8.4.1 - Hardware Architectures and Databases -- 8.4.2 - Processor Options -- 8.4.3 - Memory Options -- 8.4.4 - Storage Options -- 8.4.5 - Network Options -- 8.5 - Database Options -- 8.5.1 - tempdb Options -- 8.5.2 - Partitioning -- 8.5.3 - Filegroups -- 8.5.4 - Data Compression -- 8.6 - Setting up the Data Warehouse -- 8.6.1 - Setting up the Stage Area -- 8.6.1.1 - Hardware Considerations for Stage Area -- 8.6.1.2 - Stage Database Setup -- 8.6.2 - Setting up the Data Vault -- 8.6.2.1 - Hardware Considerations for Data Vault Layer -- 8.6.2.2 - Backing Up the Data Vault -- 8.6.2.3 - Data Vault Database Setup -- 8.6.3 - Setting up Information Marts -- 8.6.3.1 - Hardware Considerations for Information Marts -- 8.6.3.2 - Information Mart Database Setup -- 8.6.4 - Setting up the Meta, Metrics, and Error Marts -- 8.6.4.1 - Hardware Considerations for Meta, Metrics, and Error Marts -- 8.6.4.2 - Meta, Metrics, and Error Marts Database Setup -- References…”

Tabla de Contenidos: “…5.9.1 Mutex Classes -- 5.9.2 Scoped_lock Internal Classes -- 5.10 First Look at Atomic Operations -- 5.10.1 Atomic Operations in OpenMP -- AtomicTest.C example in OpenMP -- 5.11 Container Thread Safety -- 5.11.1 Concurrent Containers -- 5.11.2 TBB Concurrent Container Classes -- 5.12 Comments on Mutual Exclusion Best Practices -- Compound thread-safe operations are not thread-safe -- Chapter 6: Event Synchronization -- 6.1 Idle Waits Versus Spin Waits -- Idle wait, also called system wait -- Busy wait, also called spin wait -- Plan for the rest of the chapter -- 6.2 Condition Variables in Idle Waits -- 6.3 Idle Waits in Pthreads -- 6.3.1 Waiting on a Condition Variable -- 6.3.2 Wait Protocol -- Why should the predicate be checked again on return? -- Why an atomic mutex lock and wait? …”

Tabla de Contenidos: “…Intro -- Statistical Shape Analysis -- Contents -- Preface -- Preface to the first edition -- Acknowledgements for the first edition -- 1 Introduction -- 1.1 Definition and motivation -- 1.2 Landmarks -- 1.3 The shapes package in R -- 1.4 Practical applications -- 1.4.1 Biology: Mouse vertebrae -- 1.4.2 Image analysis: Postcode recognition -- 1.4.3 Biology: Macaque skulls -- 1.4.4 Chemistry: Steroid molecules -- 1.4.5 Medicine: Schizophrenia magnetic resonance images -- 1.4.6 Medicine and law: Fetal alcohol spectrum disorder -- 1.4.7 Pharmacy: DNA molecules -- 1.4.8 Biology: Great ape skulls -- 1.4.9 Bioinformatics: Protein matching -- 1.4.10 Particle science: Sand grains -- 1.4.11 Biology: Rat skull growth -- 1.4.12 Biology: Sooty mangabeys -- 1.4.13 Physiotherapy: Human movement data -- 1.4.14 Genetics: Electrophoretic gels -- 1.4.15 Medicine: Cortical surface shape -- 1.4.16 Geology: Microfossils -- 1.4.17 Geography: Central Place Theory -- 1.4.18 Archaeology: Alignments of standing stones -- 2 Size measures and shape coordinates -- 2.1 History -- 2.2 Size -- 2.2.1 Configuration space -- 2.2.2 Centroid size -- 2.2.3 Other size measures -- 2.3 Traditional shape coordinates -- 2.3.1 Angles -- 2.3.2 Ratios of lengths -- 2.3.3 Penrose coefficent -- 2.4 Bookstein shape coordinates -- 2.4.1 Planar landmarks -- 2.4.2 Bookstein-type coordinates for 3D data -- 2.5 Kendall's shape coordinates -- 2.6 Triangle shape coordinates -- 2.6.1 Bookstein coordinates for triangles -- 2.6.2 Kendall's spherical coordinates for triangles -- 2.6.3 Spherical projections -- 2.6.4 Watson's triangle coordinates -- 3 Manifolds, shape and size-and-shape -- 3.1 Riemannian manifolds -- 3.2 Shape -- 3.2.1 Ambient and quotient space -- 3.2.2 Rotation -- 3.2.3 Coincident and collinear points -- 3.2.4 Removing translation -- 3.2.5 Pre-shape -- 3.2.6 Shape -- 3.3 Size-and-shape…”

Tabla de Contenidos: “…8.4.1 Resampling Procedure -- 8.5 Numeric Data: ANOVA -- 8.6 Components of Variance -- 8.6.1 From ANOVA to Regression -- 8.7 Factorial Design -- 8.7.1 Stratification and Blocking -- 8.7.2 Blocking -- 8.8 The Problem of Multiple Inference -- 8.9 Continuous Testing -- 8.9.1 Medicine -- 8.9.2 Business -- 8.10 Bandit Algorithms -- 8.10.1 Web Testing -- 8.11 Appendix: ANOVA, the Factor Diagram, and the F‐Statistic -- 8.11.1 Decomposition: The Factor Diagram -- 8.11.2 Constructing the ANOVA Table -- 8.11.3 Inference Using the ANOVA Table -- 8.11.4 The F‐Distribution -- 8.11.5 Different Sized Groups -- 8.11.5.1 Resampling Method -- 8.11.5.2 Formula Method -- 8.11.6 Caveats and Assumptions -- 8.12 More than One Factor or Variable-From ANOVA to Statistical Models -- 8.13 Python: Contingency Tables and Chi‐square Test -- 8.13.1 Example: Marriage Therapy -- 8.13.2 Example: Imanishi‐Kari Data -- 8.14 Python: ANOVA -- 8.14.1 Visual Comparison of Groups -- 8.14.2 ANOVA Using Resampling Test -- 8.14.3 ANOVA Using the F‐Statistic -- Exercises -- Chapter 9 Correlation -- 9.1 Example: Delta Wire -- 9.2 Example: Cotton Dust and Lung Disease -- 9.3 The Vector Product Sum Test -- 9.3.1 Example: Baseball Payroll -- 9.3.1.1 Resampling Procedure -- 9.4 Correlation Coefficient -- 9.4.1 Inference for the Correlation Coefficient-Resampling -- 9.4.1.1 Hypothesis Test-Resampling -- 9.4.1.2 Example: Baseball Again -- 9.4.1.3 Inference for the Correlation Coefficient: Formulas -- 9.5 Correlation is not Causation -- 9.5.1 A Lurking External Cause -- 9.5.2 Coincidence -- 9.6 Other Forms of Association -- 9.7 Python: Correlation -- 9.7.1 Vector Operations -- 9.7.2 Resampling Test for Vector Product Sums -- 9.7.3 Calculating Correlation Coefficient -- 9.7.4 Calculate Correlation with numpy, pandas -- 9.7.5 Hypothesis Tests for Correlation -- 9.7.6 Using the t Statistic…”

Tabla de Contenidos: “…1 The C Programming For Dummies Approach 2 How This Book Works 3 Icons Used in This Book 4 Parting Thoughts 5 Part 1: The ABs of C 7 Chapter 1: A Quick Start for the Impatient 9 What You Need to Program 9 Command Prompt Programming 10 IDE Programming 11 Installing Code: Blocks 12 Touring the Code: Blocks workspace 13 Your First Program 14 Coding at the command prompt 15 Building a new Code: Blocks project 16 Building and running 18 Chapter 2: The Programming Thing 21 The History of Programming 21 Reviewing early programming history 21 Introducing the C language 22 The Programming Process 23 Understanding programming 23 Writing source code 24 Compiling and linking 26 Running and testing 27 Chapter 3: Anatomy of C 29 Parts of the C Language 29 Keywords 30 Functions 31 Operators 33 Variables and values 33 Statements and structure 33 Comments 35 Behold the Typical C Program 37 Understanding C program structure 37 Setting the main() function 38 Returning something to the operating system 39 Adding a function 40 Part 2: C Programming 101 43 Chapter 4: Trials and Errors 45 Display Stuff on the Screen 45 Displaying a humorous message 45 Introducing the puts() function 46 Adding more text 47 Commenting out a statement 49 Goofing up on purpose 49 More Text Output Nonsense 51 Displaying text with printf() 52 Introducing the printf() function 52 Understanding the newline 53 Employing escape sequences 54 Goofing up on purpose again 55 Chapter 5: Values and Simple Math 57 A Venue for Various Values 57 Understanding values 58 Displaying values with printf() 59 Minding the extra zeros 61 The Computer Does the Math 61 Doing simple arithmetic 61 Reviewing the float-integer thing 63 Pretending integers are floats 64 Chapter 6: A Place to Put Stuff 67 Values That Vary 67 Setting up a quick example 68 Introducing data types 69 Using variables 70 Variable Madness! …”

Tabla de Contenidos: “…3.8 Tensor metadata: Size, offset, and stride -- 3.8.1 Views of another tensor's storage -- 3.8.2 Transposing without copying -- 3.8.3 Transposing in higher dimensions -- 3.8.4 Contiguous tensors -- 3.9 Moving tensors to the GPU -- 3.9.1 Managing a tensor's device attribute -- 3.10 NumPy interoperability -- 3.11 Generalized tensors are tensors, too -- 3.12 Serializing tensors -- 3.12.1 Serializing to HDF5 with h5py -- 3.13 Conclusion -- 3.14 Exercises -- 3.15 Summary -- 4 Real-world data representation using tensors -- 4.1 Working with images -- 4.1.1 Adding color channels -- 4.1.2 Loading an image file -- 4.1.3 Changing the layout -- 4.1.4 Normalizing the data -- 4.2 3D images: Volumetric data -- 4.2.1 Loading a specialized format -- 4.3 Representing tabular data -- 4.3.1 Using a real-world dataset -- 4.3.2 Loading a wine data tensor -- 4.3.3 Representing scores -- 4.3.4 One-hot encoding -- 4.3.5 When to categorize -- 4.3.6 Finding thresholds -- 4.4 Working with time series -- 4.4.1 Adding a time dimension -- 4.4.2 Shaping the data by time period -- 4.4.3 Ready for training -- 4.5 Representing text -- 4.5.1 Converting text to numbers -- 4.5.2 One-hot-encoding characters -- 4.5.3 One-hot encoding whole words -- 4.5.4 Text embeddings -- 4.5.5 Text embeddings as a blueprint -- 4.6 Conclusion -- 4.7 Exercises -- 4.8 Summary -- 5 The mechanics of learning -- 5.1 A timeless lesson in modeling -- 5.2 Learning is just parameter estimation -- 5.2.1 A hot problem -- 5.2.2 Gathering some data -- 5.2.3 Visualizing the data -- 5.2.4 Choosing a linear model as a first try -- 5.3 Less loss is what we want -- 5.3.1 From problem back to PyTorch -- 5.4 Down along the gradient -- 5.4.1 Decreasing loss -- 5.4.2 Getting analytical -- 5.4.3 Iterating to fit the model -- 5.4.4 Normalizing inputs -- 5.4.5 Visualizing (again)…”

Tabla de Contenidos: “…-- 6.8 One Root to Rule Them All -- 6.8.1 String toString() -- 6.8.2 Size_t toHash() -- 6.8.3 Bool opEquals(Object rhs) -- 6.8.4 Int opCmp(Object rhs) -- 6.8.5 Static Object factory(string className) -- 6.9 Interfaces -- 6.9.1 The Non-Virtual Interface (NVI) Idiom -- 6.9.2 Protected Primitives -- 6.9.3 Selective Implementation -- 6.10 Abstract Classes -- 6.11 Nested Classes -- 6.11.1 Classes Nested in Functions -- 6.11.2 Static Nested Classes -- 6.11.3 Anonymous Classes -- 6.12 Multiple Inheritance -- 6.13 Multiple Subtyping -- 6.13.1 Overriding Methods in Multiple Subtyping Scenarios -- 6.14 Parameterized Classes and Interfaces -- 6.14.1 Heterogeneous Translation, Again -- 6.15 Summary -- 7 Other User-Defined Types -- 7.1 Structs -- 7.1.1 Copy Semantics…”

“…Whether you want to remind yourself about models you’ve already come across, or want to find new ones, you’ll find yourself referring back to it again and again. It's the essential guide to all the management models you’ll ever need to know about. …”

“…The characterization of microstructures, including LPO, grain size, grain shape, and misorientation, is important to determine the deformation conditions, deformation histories, kinematics, and seismic anisotropies in the crust and mantle The articles in this Special Issue prove that studies of LPO and microstructures of minerals and rocks are a major research area and provide a foundation for interpreting seismic anisotropy in the crust, mantle, and subduction zones. …”

“…Small firms may have difficulty containing costs due to their limited bargaining power and their inability to hir…”