“…Challenging previous scholarship that depicts southern religious support for segregation as weak, Dupont shows how people of faith in Mississippi rejected the religious argument for black equality and actively supported the effort to thwart the civil rights movement. …”

“…Well-intentioned diversity programs are failing to create true workplace equality; Martin Davidson provides a new model for the future that makes ""leveraging difference"" a critical business strategy, not just politically correct window dressing…”

“…On November 24, 2010, the Third Study Day of the PCNSW (acronym of the Projet de Cartographie Numérique des Sols de Wallonie) was held, to which 230 people registered, coming in roughly equal proportions from the Administration, consultancies and universities…”

Tabla de Contenidos: “…7.3 Microwave Vector Network Analyzers -- 7.3.1 Description and Configuration -- 7.3.2 Error Models Representing a VNA -- 7.3.3 Calibration of a VNA -- 7.4 On‐Wafer Measurements -- 7.5 Summary -- References -- Chapter 8 RF Filters -- 8.1 Introduction -- 8.2 Review of Filter Responses -- 8.3 Filter Parameters -- 8.4 Design Strategy for RF and Microwave Filters -- 8.5 Multi‐Element Low‐Pass Filter -- 8.6 Practical Filter Responses -- 8.7 Butterworth (or Maximally Flat) Response -- 8.7.1 Butterworth Low‐Pass Filter -- 8.7.2 Butterworth High‐Pass Filter -- 8.7.3 Butterworth Band‐Pass Filter -- 8.8 Chebyshev (Equal Ripple) Response -- 8.9 Microstrip Low‐Pass Filter, Using Stepped Impedances -- 8.10 Microstrip Low‐Pass Filter, Using Stubs -- 8.11 Microstrip Edge‐Coupled Band‐Pass Filters -- 8.12 Microstrip End‐Coupled Band‐Pass Filters -- 8.13 Practical Points Associated with Filter Design -- 8.14 Summary -- 8.15 Supplementary Problems -- References -- Chapter 9 Microwave Small‐Signal Amplifiers -- 9.1 Introduction -- 9.2 Conditions for Matching -- 9.3 Distributed (Microstrip) Matching Networks -- 9.4 DC Biasing Circuits -- 9.5 Microwave Transistor Packages -- 9.6 Typical Hybrid Amplifier -- 9.7 DC Finger Breaks -- 9.8 Constant Gain Circles -- 9.9 Stability Circles -- 9.10 Noise Circles -- 9.11 Low‐Noise Amplifier Design -- 9.12 Simultaneous Conjugate Match -- 9.13 Broadband Matching -- 9.14 Summary -- 9.15 Supplementary Problems -- References -- Chapter 10 Switches and Phase Shifters -- 10.1 Introduction -- 10.2 Switches -- 10.2.1 PIN Diodes -- 10.2.2 Field Effect Transistors -- 10.2.3 Microelectromechanical Systems -- 10.2.4 Inline Phase Change Switch Devices -- 10.3 Digital Phase Shifters -- 10.3.1 Switched‐Path Phase Shifter -- 10.3.2 Loaded‐Line Phase Shifter -- 10.3.3 Reflection‐Type Phase Shifter -- 10.3.4 Schiffman 90° Phase Shifter…”

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

Tabla de Contenidos: “…-- 5.4 Routing Information Protocol, Version 2 (RIPv2) -- 5.5 Interior Gateway Routing Protocol (IGRP) -- 5.5.1 Packet Format -- 5.5.2 Computing Composite Metric -- 5.6 Enhanced Interior Gateway Routing Protocol (EIGRP) -- 5.6.1 Packet Format -- 5.7 Route Redistribution -- 5.8 Summary -- Further Lookup -- Exercises -- 6 OSPF and Integrated IS-IS -- 6.1 From a Protocol Family to an Instance of a Protocol -- 6.2 OSPF: Protocol Features -- 6.2.1 Network Hierarchy -- 6.2.2 Router Classi cation -- 6.2.3 Network Types -- 6.2.4 Flooding -- 6.2.5 Link State Advertisement (LSA) Types -- 6.2.7 Routing Computation and Equal-Cost MultiPath -- 6.2.8 Additional Features -- 6.3 Multitopology Routing in OSPF -- 6.4 OSPF Packet Format -- 6.5 Examples of Router LSA and Network LSA -- 6.6 Integrated IS-IS -- 6.6.1 Key Features -- 6.7 Similarities and Differences Between IS-IS and OSPF -- 6.8 OSPFv3 and IS-IS for IPv6…”

Tabla de Contenidos: “…9.3.2 Case-study: Size-and-shape analysis and mutation -- 9.4 Edge-based shape coordinates -- 9.5 Investigating allometry -- 10 Shape and size-and-shape distributions -- 10.1 The uniform distribution -- 10.2 Complex Bingham distribution -- 10.2.1 The density -- 10.2.2 Relation to the complex normal distribution -- 10.2.3 Relation to real Bingham distribution -- 10.2.4 The normalizing constant -- 10.2.5 Properties -- 10.2.6 Inference -- 10.2.7 Approximations and computation -- 10.2.8 Relationship with the Fisher-von Mises distribution -- 10.2.9 Simulation -- 10.3 Complex Watson distribution -- 10.3.1 The density -- 10.3.2 Inference -- 10.3.3 Large concentrations -- 10.4 Complex angular central Gaussian distribution -- 10.5 Complex Bingham quartic distribution -- 10.6 A rotationally symmetric shape family -- 10.7 Other distributions -- 10.8 Bayesian inference -- 10.9 Size-and-shape distributions -- 10.9.1 Rotationally symmetric size-and-shape family -- 10.9.2 Central complex Gaussian distribution -- 10.10 Size-and-shape versus shape -- 11 Offset normal shape distributions -- 11.1 Introduction -- 11.1.1 Equal mean case in two dimensions -- 11.1.2 The isotropic case in two dimensions -- 11.1.3 The triangle case -- 11.1.4 Approximations: Large and small variations -- 11.1.5 Exact moments -- 11.1.6 Isotropy -- 11.2 Offset normal shape distributions with general covariances -- 11.2.1 The complex normal case -- 11.2.2 General covariances: Small variations -- 11.3 Inference for offset normal distributions -- 11.3.1 General MLE -- 11.3.2 Isotropic case -- 11.3.3 Exact isotropic MLE in R -- 11.3.4 EM algorithm and extensions -- 11.4 Practical inference -- 11.5 Offset normal size-and-shape distributions -- 11.5.1 The isotropic case -- 11.5.2 Inference using the offset normal size-and-shape model -- 11.6 Distributions for higher dimensions -- 11.6.1 Introduction…”

Tabla de Contenidos: “…4.2.4 Magnetically Coupled Resonators -- 4.2.5 Magnetically and Capacitive Coupled Resonator -- 4.2.6 Coupled Resonators Comparison -- 4.3 Resonators Based on the Transformers -- 4.3.1 On the Parasitic Interwinding Capacitance -- 4.3.2 Effect of Unbalanced Capacitive Terminations -- 4.3.3 Frequency Response Equalization -- 4.3.4 On the Parasitic Magnetic Coupling in Multistage Amplifiers -- 4.3.5 Extension to Impedance Transformation -- 4.3.6 On the kQ Product -- 4.3.7 Transformer-Based Power Dividers (PDs) -- 4.3.8 Transformer-Based Power Combiners (PCs) -- 4.4 Conclusion -- Acknowledgments -- References -- Chapter 5 Low-Noise Amplifiers -- 5.1 Introduction -- 5.2 Basics of RFIC -- 5.2.1 Voltage Gain in dB -- 5.2.2 Power Gain in dB -- 5.2.3 Issues in RF Design -- 5.3 Structure of MOSFET -- 5.4 Bandwidth Estimation Techniques -- 5.5 Noise -- 5.5.1 Noise in MOSFET -- 5.6 Different Topologies of LNA -- Conclusion -- Acknowledgement -- References -- Chapter 6 Mixer Design -- 6.1 Introduction -- 6.2 Properties -- 6.3 Diode Mixer -- 6.4 Transistor Mixer -- 6.5 Conclusion -- Acknowledgement -- References -- Chapter 7 RF LC VCOs Designing -- 7.1 Introduction -- 7.1.1 Basic VCO Models -- 7.1.2 Phase Noise -- 7.1.3 Flicker Noise -- 7.1.4 Distributed Oscillators -- 7.2 Tuning Extension Techniques -- 7.2.1 Varactor -- 7.2.2 Switched Capacitors -- 7.2.3 Switched Inductors -- 7.2.4 Switched TLs -- 7.2.5 4th Order Tanks and Other Techniques -- 7.3 Conclusion -- Acknowledgement -- References -- Chapter 8 RF Power Amplifiers -- 8.1 Specification -- 8.1.1 Efficiency -- 8.1.2 Generic Amplifier Classes -- 8.1.3 Heating -- 8.1.4 Linearity -- 8.1.5 Ruggedness -- 8.2 Bipolar PA Design -- 8.3 CMOS Power Amplifier Design -- 8.3.1 Performance Parameters -- 8.3.1.1 Linearity -- 8.3.1.2 Gain -- 8.3.1.3 Efficiency -- 8.3.1.4 Output Power -- 8.3.1.5 Power Consumption…”

Tabla de Contenidos: “…6.1 Confidence Interval for the Mean -- 6.1.1 Computing a Confidence Interval Given 2 -- 6.2 Confidence Intervals for the Mean Using s ( Not Known) -- 6.2.1 R Function t.test -- 6.3 A Confidence Interval for The Population Trimmed Mean -- 6.3.1 R Function trimci -- 6.4 Confidence Intervals for The Population Median -- 6.4.1 R Function msmedci -- 6.4.2 Underscoring a Basic Strategy -- 6.4.3 A Distribution-Free Confidence Interval for the Median Even When There Are Tied Values -- 6.4.4 R Function sint -- 6.5 The Impact of Nonnormality on Confidence Intervals -- 6.5.1 Student's T and Nonnormality -- 6.5.2 Nonnormality and the 20% Trimmed Mean -- 6.5.3 Nonnormality and the Median -- 6.6 Some Basic Bootstrap Methods -- 6.6.1 The Percentile Bootstrap Method -- 6.6.2 R Functions trimpb -- 6.6.3 Bootstrap-t -- 6.6.4 R Function trimcibt -- 6.7 Confidence Interval for The Probability of Success -- 6.7.1 Agresti-Coull Method -- 6.7.2 Blyth's Method -- 6.7.3 Schilling-Doi Method -- 6.7.4 R Functions acbinomci and binomLCO -- 6.8 Summary -- 6.9 Exercises -- Chapter 7 Hypothesis Testing -- 7.1 Testing Hypotheses about the Mean, Known -- 7.1.1 Details for Three Types of Hypotheses -- 7.1.2 Testing for Exact Equality and Tukey's Three-Decision Rule -- 7.1.3 p-Values -- 7.1.4 Interpreting p-Values -- 7.1.5 Confidence Intervals versus Hypothesis Testing -- 7.2 Power and Type II Errors -- 7.2.1 Power and p-Values -- 7.3 Testing Hypotheses about the mean, Not Known -- 7.3.1 R Function t.test -- 7.4 Student's T and Nonnormality -- 7.4.1 Bootstrap-t -- 7.4.2 Transforming Data -- 7.5 Testing Hypotheses about Medians -- 7.5.1 R Function msmedci and sintv2 -- 7.6 Testing Hypotheses Based on a Trimmed Mean -- 7.6.1 R Functions trimci, trimcipb, and trimcibt -- 7.7 Skipped Estimators -- 7.7.1 R Function momci -- 7.8 Summary -- 7.9 Exercises…”

Tabla de Contenidos: “…-- 4.4.2 A case of nearly constant likelihood -- 4.4.3 The Bayesian method for point null hypotheses -- 4.4.4 Sufficient statistics -- 4.5 Point null hypotheses for the normal distribution -- 4.5.1 Calculation of the Bayes' factor -- 4.5.2 Numerical examples -- 4.5.3 Lindley's paradox -- 4.5.4 A bound which does not depend on the prior distribution -- 4.5.5 The case of an unknown variance -- 4.6 The Doogian philosophy -- 4.6.1 Description of the method -- 4.6.2 Numerical example -- 4.7 Exercises on Chapter 4 -- 5 Two-sample problems -- 5.1 Two-sample problems - both variances unknown -- 5.1.1 The problem of two normal samples -- 5.1.2 Paired comparisons -- 5.1.3 Example of a paired comparison problem -- 5.1.4 The case where both variances are known -- 5.1.5 Example -- 5.1.6 Non-trivial prior information -- 5.2 Variances unknown but equal -- 5.2.1 Solution using reference priors -- 5.2.2 Example -- 5.2.3 Non-trivial prior information -- 5.3 Variances unknown and unequal (Behrens-Fisher problem) -- 5.3.1 Formulation of the problem -- 5.3.2 Patil's approximation -- 5.3.3 Example -- 5.3.4 Substantial prior information -- 5.4 The Behrens-Fisher controversy -- 5.4.1 The Behrens-Fisher problem from a classical standpoint -- 5.4.2 Example…”

Tabla de Contenidos: “…-- 1.2 History and Evolution of the Field -- 1.3 Reliability Modeling Approaches -- 1.3.1 Physics of Failure Approach -- 1.3.1.1 Performance-Requirement Model -- 1.3.1.2 Stress-Strength Model -- 1.3.1.3 Damage-Endurance Model -- 1.3.2 Failure Agents -- 1.4 Definitions -- 1.4.1 Reliability -- 1.4.2 Risk -- 1.4.3 Availability and Maintainability -- 1.4.4 Failure Modes and Failure Mechanisms -- 1.5 Systems, Functions, and Failure -- 1.5.1 Failure Modes and Mechanisms for Mechanical Equipment -- 1.5.2 Failure Modes and Mechanisms for Electrical Equipment -- 1.5.3 Human Functions, Failure, and Reliability -- 1.6 Putting It All Together: Risk Assessment Modeling -- 1.7 Exercises -- References -- Chapter 2 Basic Reliability Mathematics: Probability -- 2.1 Introduction -- 2.2 Events and Random Variables Used in Reliability -- 2.3 Sets and Boolean Algebra -- 2.4 Probability Terminology and Interpretations -- 2.4.1 Classical Interpretation of Probability (Equally Likely Concept, or Sample Space Partitioning) -- 2.4.2 Frequency Interpretation of Probability -- 2.4.3 Subjective Interpretation of Probability (Bayesian Probability -- Evidential Probability) -- 2.5 Laws and Mathematics of Probability -- 2.5.1 Definitions -- 2.5.2 Axioms of Probability and Their Implications -- 2.5.3 Mathematics of Probability -- 2.6 Probability Distribution Basics -- 2.6.1 Probability Distributions Defined -- 2.6.2 Distribution Properties -- 2.6.2.1 Central Tendency -- 2.6.2.2 Dispersion, Shape, and Spread -- 2.6.2.3 Covariance and Correlation -- 2.6.2.4 Algebra of Expectations -- 2.7 Probability Distributions Used in Reliability…”

Tabla de Contenidos: “…Network Segment -- 4.3.4.5.2 From Segment to Resource -- 4.3.4.5.3 From Resource to Access Attempt -- 4.3.4.5.4 Recap of the Assume Breach Component -- 4.4 Priorities for Modernizing Identity -- 4.4.1 Priority 1: Unify Identity Management -- 4.4.1.1 Control 1.1: Enable Single Sign-On -- 4.4.1.2 Control 1.2: External Identities -- 4.4.1.3 Control 1.3: Enable Passwordless Approach When Possible -- 4.4.1.4 Control 1.4: Automatic Provisioning -- 4.4.1.5 Control 1.5: Device Integration -- 4.4.1.6 Control 1.6: Managed Identities -- 4.4.2 Priority 2: Implement Secure Adaptive Access -- 4.4.2.1 Control 2.1: Secure Adaptive Authentication -- 4.4.2.2 Control 2.2: Block Legacy Authentication -- 4.4.2.3 Control 2.3: Protect Against Consent Phishing -- 4.4.2.4 Control 2.4: Equal Focus on On-Prem Identity…”

Tabla de Contenidos: “…2.5.2 Declaring and Creating a Scanner to Obtain User Input from the Keyboard 98 -- 2.5.3 Prompting the User for Input 99 -- 2.5.4 Declaring a Variable to Store an Integer and Obtaining anInteger from the Keyboard 99 -- 2.5.5 Obtaining a Second Integer 100 -- 2.5.6 Using Variables in a Calculation 100 -- 2.5.7 Displaying the Calculation Result 100 -- 2.5.8 Java API Documentation 101 -- 2.5.9 Declaring and Initializing Variables in Separate Statements 101 -- 2.6 Memory Concepts 101 -- 2.7 Arithmetic 102 -- 2.8 Decision Making: Equality and Relational Operators 106 -- 2.9 Wrap-Up 109 -- 3 Introduction to Classes, Objects, Methods and Strings 120 -- 3.1 Introduction 121 -- 3.2 Instance Variables, set Methods and get Methods 122 -- 3.2.1 Account Class with an Instance Variable, and set and get Methods 122 -- 3.2.2 AccountTest Class That Creates and Uses an Object of Class Account 125 -- 3.2.3 Compiling and Executing an App with Multiple Classes 128 -- 3.2.4 Account UML Class Diagram 128 -- 3.2.5 Additional Notes on Class AccountTest 130 -- 3.2.6 Software Engineering with private Instance Variables and public set and get Methods 130 -- 3.3 Account Class: Initializing Objects with Constructors 131 -- 3.3.1 Declaring an Account Constructor for Custom Object Initialization 132 -- 3.3.2 Class AccountTest: Initializing Account Objects When They're Created 133 -- 3.4 Account Class with a Balance -- Floating-Point Numbers 134 -- 3.4.1 Account Class with a balance Instance Variable of Type double 135 -- 3.4.2 AccountTest Class to Use Class Account 137 -- 3.5 Primitive Types vs. …”

Tabla de Contenidos: “…Cover -- Copyright -- Brief Contents -- Contents -- Foreword -- Preface -- Acknowledgement -- About the Author -- Chapter 1: Introduction to Business Mathematics -- 1.1 Introduction to Business Mathematics -- 1.2 Scope and Importance -- 1.2.1 Steps in Quantitative Analysis Approach -- 1.3 Number System -- 1.3.1 Natural Numbers -- 1.3.2 Whole Numbers -- 1.4 Positive and Negative Integers -- 1.4.1 Positive Integers -- 1.4.2 Negative Integers -- 1.5 Fractions -- 1.5.1 Proper Fraction -- 1.5.2 Improper Fraction -- 1.6 Rational and Irrational Numbers -- 1.6.1 Rational Numbers -- 1.6.2 Irrational Numbers -- 1.7 Real Numbers -- 1.8 Sum of First n Natural Numbers -- 1.9 Sum of Square and Sum of Cube of First n Natural Numbers -- Chapter 2: Algebra -- 2.1 Algebra -- 2.2 Algebraic Identities -- 2.3 Simple Factorizations -- 2.4 Equations -- 2.5 Linear and Quadratic Equations -- 2.5.1 Linear Equations -- 2.5.2 Simultaneous Linear Equations -- 2.5.3 Quadratic Equation -- 2.6 Indices and Surds -- 2.6.1 Indices -- 2.6.2 Surds -- 2.7 Logarithms and Their Properties -- 2.7.1 Definition -- 2.7.2 Properties -- 2.7.3 Common Logarithms -- 2.8 Problems Based on Logarithms -- 2.9 Inequality in Graphs -- 2.10 Remainder Theorem and Factor Theorem -- 2.10.1 Remainder Theorem -- 2.10.2 Factor Theorem -- Exercise -- Chapter 3: Theory of Sets and Its Business Applications -- 3.1 Set Theory -- 3.2 Representation of Sets -- 3.2.1 Tabulation Method -- 3.2.2 Set Builder Form -- 3.2.3 Cardinal Number -- 3.2.4 Element of a Set -- 3.2.5 Order of a Set -- 3.2.6 Finite Set -- 3.2.7 Infinite Set -- 3.2.8 Singleton Set -- 3.3 Union of Sets -- 3.4 Intersection of Two Sets -- 3.5 Complement of a Set -- 3.6 Subset -- 3.6.1 Identical/Equal Set -- 3.6.2 Equivalent Set -- 3.6.3 Disjoint Set -- 3.6.4 Universal Set -- 3.7 Null Set/Empty Set/Void Set -- 3.8 Difference of a Set…”

“…Rob and Dave provide an equally deep and unique perspective of this powerful solution." …”

“…This book addresses questions such as: How is children's health care currently financed? Does insurance equal access to care? And, how should the nation address the health needs of this vulnerable population?…”

“…Combines the study of literary works, treatises of moral philosophy, and archival military writings to show the ways that the military sphere both generated and applied French Enlightenment ideas with regard to the phenomenon of war, the human body and emotions, social equality, and human rights…”

“…The SIGI Country Report for Tanzania provides a new evidence base to improve the rights and well-being of women and girls in Tanzania and promote gender equality through the elimination of discrimination in social institutions. …”

“…Gender equality in terms of economic and financial opportunities is becoming increasingly relevant at both national and international level. …”