Tabla de Contenidos: “….) -- FIGURA 3.13 TACO GENERADOR ELÉCTRICO RE0444R (...) -- FIGURA 3.14 MEDIDOR LOVATO DMK 22 -- FIGURA 3.15 VÁLVULA TRIAC CONTROL SERIE (...) -- FIGURA 3.16 REGULADOR DE FRECUENCIA, (...) -- FIGURA 3.17 MÓDULOS DE ENTRADA/SALIDA DEL (...) -- FIGURA 3.18 CONEXIÓN DEL PAC OPTO 22 A (...) -- FIGURA 3.19 AJUSTE LOCAL DE CERO Y SPAN -- FIGURA 3.20 RAMA CONF CON LAS OPCIONES (...) -- FIGURA 4.1 ARQUITECTURA DEL SISTEMA PARA (...) -- FIGURA 4.2. …”

Tabla de Contenidos: “…Data sources for Tivoli Web Site Analyzer -- 4.1 Web server log files -- 4.1.1 Log file formats -- 4.1.2 IBM HTTP Server for Windows NT -- 4.1.3 Using IBM HTTP Server V5R3M0 for OS/390® log files -- 4.1.4 IBM WebSphere Edge Server log files -- 4.1.5 IBM Tivoli Access Manager for e-business log files -- 4.1.6 WebSphere Portal Server -- 4.1.7 Microsoft IIS Server log files…”

Tabla de Contenidos: “…Capital humain et recherche-développement (R-D) -- Tableau 1.A1.6. Structure fiscale…”

Tabla de Contenidos: “…Nombre moyen d'années d'études de la population d'âge actif dans les pays de l'OCDE, 1970 et 1998 -- Graphique IV.2. Dépenses de R-D dans les pays de l'OCDE, dans les années 80 et 90 -- Graphique IV.3. …”

Tabla de Contenidos: “…Recettes publiques fiscales, 2008 -- Figure 0.3 La politique budgétaire contribue peu à la réduction des inégalités en Amérique latine -- Figure 0.4 Les dépenses publiques sont moins importantes en Amérique latine que dans l'OCDE -- Figure 0.5 Les jeunes latino-américains de 15 ans obtiennent de moins bons résultats en lecture que les jeunes de l'OCDE, et les différences socio-économiques pèsent plus lourd sur leurs performances -- Figure 0.6 La fracture du haut débit est importante et s'aggrave en Amérique latine -- Figure 0.7 Le défi de l'Amérique latine : mobiliser les investissements des entreprises en faveur de la R&amp -- D -- Figure 1.1 Marge budgétaire avant et après la crise financière, 2000-07 et 2007-09 -- Figure 1.2 Amérique latine (13 pays) : variation trimestrielle des composantes des dépenses, 2009-10 -- Figure 1.3 Amérique latine : part de la Chine dans les exportations et les importations totales, par pays, 2000 et 2009 -- Figure 1.4 Amérique du Sud et Amérique centrale : indices des termes de l'échange, 2000-10 -- Figure 1.5 Évolution mensuelle des prix internationaux des produits de base, entre janvier 2003 et août 2011.…”

Tabla de Contenidos: “…Relative Sample Size -- 7.10 Python: Random Sampling Strategies -- 7.10.1 Implement Simple Random Sample (SRS) -- 7.10.2 Determining Confidence Intervals -- 7.10.3 Bootstrap Sampling to Determine Confidence Intervals for a Mean -- 7.10.4 Advanced Sampling Techniques -- 7.10.4.1 Stratified Sampling for Categorical Variables -- 7.10.4.2 Stratified Sampling of Continuous Variables -- Exercises -- Chapter 8 More than Two Samples or Categories -- 8.1 Count Data-R × C Tables -- 8.2 The Role of Experiments (Many Are Costly) -- 8.2.1 Example: Marriage Therapy -- 8.3 Chi‐Square Test -- 8.3.1 Alternate Option -- 8.3.2 Testing for the Role of Chance -- 8.3.3 Standardization to the Chi‐Square Statistic -- 8.3.4 Chi‐Square Example on the Computer -- 8.4 Single Sample-Goodness‐of‐Fit…”

Tabla de Contenidos: “…Debug Tool and debugging PL/I -- 15.1 Preparing a PL/I program for debugging -- 15.1.1 Notes on preparing a PL/I V2R3 program for Debug Tool -- 15.1.2 Notes on all other PL/I compilers -- 15.2 A quick run through the program -- 15.3 A quick test using the MFI debugger -- 15.4 A debug session with the remote debugger -- Chapter 16. …”

Tabla de Contenidos: “…5.7 Exercises -- References -- Chapter 6 System Reliability Analysis -- 6.1 Important Notes and Assumptions -- 6.2 Reliability Block Diagram Method -- 6.2.1 Series System -- 6.2.2 Parallel Systems -- 6.2.3 k-Out-of-n Redundant Systems -- 6.2.4 Standby Systems -- 6.2.5 Load-Sharing Systems -- 6.3 Complex System Evaluation Methods -- 6.3.1 Decomposition Method -- 6.3.2 Path Tracing Methods (Path Sets, Cut Sets) -- 6.4 Fault Tree and Success Tree Methods -- 6.4.1 Fault Tree Method -- 6.4.2 Evaluation of Fault Trees -- 6.4.2.1 Analysis of Logic Trees Using Boolean Algebra -- 6.4.2.2 Combinatorial (Truth Table) Technique for Evaluation of Logic Trees -- 6.4.2.3 Binary Decision Diagrams -- 6.4.3 Success Tree Method -- 6.5 Event Tree Method -- 6.5.1 Construction of Event Trees -- 6.5.2 Evaluation of Event Trees -- 6.6 Event Sequence Diagram Method -- 6.7 Failure Modes and Effects Analysis -- 6.7.1 Objectives of FMEA -- 6.7.2 FMEA/FMECA Procedure -- 6.7.3 FMEA Implementation -- 6.7.3.1 FMEA Using MIL-STD-1629A -- 6.7.3.2 FMEA Using SAE J1739 -- 6.7.4 FMECA Procedure: Criticality Analysis -- 6.7.4.1 Failure Probability Failure Rate Data Source -- 6.7.4.2 Failure Effect Probability β -- 6.7.4.3 Failure Rate λ[sub(p)] -- 6.7.4.4 Failure Mode Ratio α -- 6.7.4.5 Operating Time T -- 6.7.4.6 Failure Mode Criticality Number C[sub(m)] -- 6.7.4.7 Item Criticality Number C[sub(r)] -- 6.8 Exercises -- References -- Chapter 7 Reliability and Availability of Repairable Components and Systems -- 7.1 Definition of Repairable System and Types of Repairs -- 7.2 Variables of Interest: Availability, ROCOF, MTBF -- 7.3 Repairable System Data -- 7.4 Stochastic Point Processes (Counting Processes) -- 7.4.1 Homogeneous Poisson Process -- 7.4.2 Renewal Process -- 7.4.3 Nonhomogeneous Poisson Process -- 7.4.4 Generalized Renewal Process -- 7.5 Data Analysis for Point Processes…”

Tabla de Contenidos: “…Teeth of Cis-Baikal Middle Holocene hunter-gatherers selected for this study. L = Left -- R = Right -- M1, 2 or 3 = Upper 1st, 2nd or 3rd molar -- M1, 2 or 3 = Lower 1st, 2nd or 3rd molar. -- Table 4. …”

Tabla de Contenidos: “…4.2.4.9 The Need For Prescriptive Analytics in Maintenance: A Case Study -- 4.3 Big Data Analytics Methods -- 4.3.1 Defining Big Data Analytics -- 4.3.2 Defining Big Data Via the Three Vs -- 4.3.2.1 Data Volume as a Defining Attribute of Big Data -- 4.3.2.2 Data Type Variety as a Defining Attribute of Big Data -- 4.3.2.3 Data Feed Velocity as a Defining Attribute of Big Data -- 4.3.3 Text Analytics -- 4.3.4 Audio Analytics -- 4.3.5 Video Analytics -- 4.3.6 Social Media Analytics -- 4.4 Maintenance Strategies with Big Data Analytics -- 4.5 Data-Driven and Model-Driven Approaches -- 4.5.1 Data Mining and Knowledge Discovery -- 4.6 Maintenance Descriptive Analytics -- 4.7 Maintenance Diagnostic Analytics -- 4.8 Maintenance Predictive Analytics -- 4.9 Maintenance Prescriptive Analytics -- 4.10 Big Data Analytics Methods -- 4.10.1 Text Analytics -- 4.10.2 Audio Analytics -- 4.10.3 Video Analytics -- 4.10.4 Social Media Analytics -- 4.11 Big Data Management and Governance -- 4.12 Big Data Access and Analysis -- 4.13 Big Data Visualisation -- 4.14 Big Data Ingestion -- 4.15 Big Data Cluster Management -- 4.16 Big Data Distributions -- 4.17 Data Governance -- 4.18 Data Access -- 4.19 Data Analysis -- 4.20 Bid Data File System -- 4.20.1 Quantcast File System -- 4.20.2 Hadoop Distributed File System -- 4.20.3 Cassandra File System (CFS) -- 4.20.4 GlusterFS -- 4.20.5 Lustre -- 4.20.6 Parallel Virtual File System -- 4.20.7 Orange File System (OrangeFS) -- 4.20.8 BeeGFS -- 4.20.9 MapR-FS -- 4.20.9.1 Kudu -- References -- Chapter 5 Data-Driven Decision-Making -- 5.1 Data for Decision-Making -- 5.1.1 Data-Driven Decision-Making -- 5.1.2 The Process of Data-Driven Decision-Making -- 5.1.3 The Context of Data-Driven Decision-Making -- 5.1.4 The Importance of Data-Driven Decision-Making -- 5.1.5 Common Challenges of Data-Driven Decision-Making…”

Tabla de Contenidos: “…7.9 Math Library Functions -- 7.10 Recursion -- Summary -- Key Words -- Questions -- Chapter 8: Arrays and Structures in C++ -- 8.1 Introduction -- 8.2 Initializing Arrays -- 8.3 Accessing Values of an Array -- 8.4 Multi-Dimensional Arrays -- 8.4.1 Initialization -- 8.4.2 Accessing a Multi-dimensional Array -- 8.5 Arrays as Parameters -- 8.6 Character Sequences -- 8.7 Structures -- 8.7.1 Features of Structures -- 8.7.2 Union -- Summary -- Key Words -- Questions -- Chapter 9: Classes and Objects in C++ -- 9.1 Introduction -- 9.2 A Simple Class -- 9.2.1 An Example Program -- 9.2.2 Explanation -- 9.2.3 Creating Objects -- 9.2.4 Accessing Member Functions -- 9.3 Constructors and Destructors -- 9.3.1 Constructors -- 9.3.2 Parameterized Constructors -- 9.3.3 Constructor Overloading -- 9.3.4 Default Constructor -- 9.3.5 Destructors -- 9.4 Operator Overloading -- 9.4.1 Overloading Binary Operator '+' -- 9.4.2 Overloading a Unary Operator '++' -- 9.4.3 friend Functions -- 9.5 Inheritance -- 9.5.1 Derived Classes -- 9.5.2 Access Types -- 9.5.3 Forms of Inheritance with Examples -- 9.6 Polymorphism -- 9.6.1 Virtual Function -- 9.6.2 Abstract Class -- Summary -- Key Words -- Questions -- Unit IV: Database Management -- Chapter 10: Database Management System -- 10.1 Introduction -- 10.2 Database and Database System -- 10.2.1 Defintions -- 10.2.2 Components of Database System -- 10.3 File-oriented Approach -- 10.4 Database Approach -- 10.5 Data Models -- 10.5.1 High-level or Conceptual Data Model -- 10.5.1.1 Entity -- 10.5.1.2 Attribute -- 10.5.1.3 Relationship -- 10.5.1.4 Entity-Relationship (E-R) Model -- 10.5.2 Representation or Implementation Data Model -- 10.5.2.1 Relational Database Model -- 10.5.2.2 Hierarchical Database Model -- 10.5.2.3 Network Database Model -- 10.6 Architecture of Database System -- 10.7 Data Independence -- 10.8 Data Dictionary…”

“…Fans of the Inheritance Series and readers hooked to the world of George R. R. Martin's Game of Thrones series will love the magic of the Twin Kingdoms. …”

“…The different variations of the Cisco Catalyst operating systems (COS and Cisco IOS(r) Software) are shown together for side-by-side comparison, making it easy to move from one Cisco Catalyst platform to another. …”

“…Panich (Santa Clara University), Thomas R. Fenn (The University of Oklahoma), Alison K. …”

“…Panich (Santa Clara University), Thomas R. Fenn (The University of Oklahoma), Alison K. …”

“…Henderson and Daina Taimina • The Aesthetic Sensibilities of Mathematicians, by Nathalie Sinclair • The Meaning of Pattern, by Martin Schiralli • Mathematics, Aesthetics and Being Human, by William Higginson • Mechanism and Magic in the Psychology of Dynamic Geometry, by R. Nicholas Jackiw • Drawing on the Image in Mathematics and Art, by David Pimm • Sensible Objects, by Dick Tahta • Aesthetics and the ‘Mathematical Mind’, by David Pimm and Nathalie Sinclair…”

“…Last, the analysis in this paper estimates the public and private investment needs in research and development (R&D) for developing new crop varieties, and further develops estimates of the cost of improving irrigation technologies in OECD countries…”

“…We find that not only cross-country differences in factor endowments, such as capital and labour, but also differences in investment in R&D and policies or institutions, such as financial development, tariffs and taxes, and product and labour market regulation, can explain cross-country differences in industrial structure…”