Tabla de Contenidos: “…2.10 Factors Behind the Success of a Construction Organization -- References -- Review Questions -- Chapter 3: Construction Economics -- 3.1 Introduction -- 3.2 Economic Decision-Making -- 3.2.1 Out-of-Pocket Commitment -- 3.2.2 Payback Period -- 3.2.3 Average Annual Rate of Return -- 3.3 Time Value of Money -- 3.4 Cash-Flow Diagrams -- 3.4.1 Project Cash-Flow and Company Cash-Flow Diagrams -- 3.4.2 Using Cash-Flow Diagrams -- 3.5 Using Interest Tables -- 3.6 Evaluating Alternatives by Equivalence -- 3.6.1 Present Worth Comparison -- 3.6.2 Future Worth Comparison -- 3.6.3 Annual Cost and Worth Comparison -- 3.6.4 Rate of Return Method -- 3.7 Effect of Taxation on Comparison of Alternatives -- 3.8 Effect of Inflation on Cash-Flow -- 3.9 Evaluation of Public Projects: Discussion on Benefit-Cost Ratio -- 3.9.1 Benefit/Cost Criteria -- References -- Solved Examples -- Review Questions -- Chapter 4: Client's Estimation of Project Cost -- 4.1 Introduction -- 4.2 Approximate Methods of Estimation -- 4.2.1 Preliminary Estimate for Buildings -- 4.2.2 Preliminary Estimate for Industrial Structures -- 4.3 Types of Estimates -- 4.3.1 Rough Order of Magnitude Estimates -- 4.3.2 Client's Indicative Cost Estimate -- 4.3.3 Client's Preliminary Cost Estimate -- 4.3.4 Client's Detailed Estimate -- 4.3.5 Client's Definitive Estimate -- 4.3.6 Revised Estimate -- 4.3.7 Supplementary Estimates -- 4.3.8 Project Closure Cost -- 4.4 Methods of Structuring Project Costs -- 4.5 Illustrative Cases in Preparation of Estimate -- 4.5.1 Case1: Multi-Level Car Parking Facility -- 4.5.2 Case 2: Preliminary Estimate for Construction of Sewage Treatment Plant -- References -- Solved Examples -- Review Questions -- Chapter 5: Construction Contract -- 5.1 Construction Contract -- 5.2 Contract Document -- 5.2.1 The Contract Drawings -- 5.2.2 The Specifications…”

Tabla de Contenidos: “…Appendix 8A: Correlations for Estimating Residual Gas Saturations for Gas Reservoirs under Water Influx -- Appendix 8B: Dimensionless Pressure for Finite and Infinite Aquifers -- Appendix 8C: Dimensionless Pressure for Finite and Infinite Aquifers -- Chapter 9 Oil Reservoirs -- 9.1 Introduction -- 9.2 Oil Reservoir Drive Mechanisms -- 9.3 Gravity Drainage Mechanism -- 9.4 Volumetric Undersaturated Oil Reservoirs -- 9.4.1 Volume Calculations Above Bubble Point Pressure -- 9.4.2 Volume Calculations Below Bubble Point Pressure -- 9.5 Undersaturated Oil Reservoirs with Water Influx -- 9.5.1 Volume Method -- 9.5.2 Material Balance Method -- 9.6 Volumetric Saturated Oil Reservoirs -- 9.6.1 Volume Method -- 9.6.2 Material Balance Method -- 9.7 Material Balance Approach for Saturated Oil Reservoirs with Water Influx -- 9.8 Case History of Manatee Reservoirs -- 9.8.1 Reservoir Geology -- 9.8.2 Rock and Fluid Properties -- 9.8.3 Reservoir Pressure and Production Data -- 9.8.4 Review Questions -- Nomenclature -- Subscripts -- Abbreviations -- References -- Chapter 10 Fluid Flow in Petroleum Reservoirs -- 10.1 Introduction -- 10.2 Fluid Types -- 10.2.1 Incompressible Fluids -- 10.2.2 Slightly Compressible Fluids -- 10.2.3 Compressible Fluids -- 10.3 Definition of Fluid Flow Regimes -- 10.3.1 Transient Flow -- 10.3.2 Pseudosteady-State (PSS) Flow -- 10.3.3 Steady-State (SS) Flow -- 10.4 Darcy Fluid Flow Equation -- 10.5 Radial Forms of the Darcy Equation -- 10.5.1 Steady-State Flow, Incompressible Fluids -- 10.5.2 Average Permeability of Parallel Beds -- 10.5.3 Average Permeability of Serial Concentric Segments -- 10.5.4 Pseudosteady State, Incompressible Fluids -- 10.5.5 Steady-State Flow, Compressible Fluids -- 10.6 Derivation of the Continuity Equation in Radial Form -- 10.7 Derivation of Radial Diffusivity Equation for Slightly Compressible Fluids…”

Tabla de Contenidos: “…6.3.9 Euler Number Feature (ENF) -- 6.3.10 Profiles Feature (PRF) -- 6.4 1D Function-Based Features for Shape Representation -- 6.4.1 Complex Coordinates Feature (CCF) -- 6.4.2 Extracting Edge Characteristics Using Complex Coordinates -- 6.4.3 Edge Detection Using Even and Odd Shearlet Symmetric Generators -- 6.4.4 Object Detection and Isolation Using the Shearlet Coefficient Feature (SCF) -- 6.5 Polygonal-Based Features (PBF) -- 6.6 Spatial Interrelation Feature (SIF) -- 6.7 Moments Features (MFE) -- 6.8 Scale Space Approaches for Feature Extraction (SSA) -- 6.9 Shape Transform Features (STF) -- 6.9.1 Radon Transform Features (RTF) -- 6.9.2 Linear Radon Transform -- 6.9.3 Translation of RT -- 6.9.4 Scaling of RT -- 6.9.5 Point and Line Transform Using RT -- 6.9.6 RT in Sparse Objects -- 6.9.7 Point and Line in RT -- 6.10 Various Case-Based Examples in Infrastructures Management -- 6.10.1 Case 1: Feature Extraction from Polypropylene Modified Bitumen Optical Microscopy Images -- 6.10.2 Ratio of Number of Black Pixels to the Number of Total Pixels (RBT) -- 6.10.3 Ratio of Number of Black Pixels to the Number of Total Pixels in Watershed Segmentation (RWS) -- 6.10.4 Number and Average Area of the White Circular Objects in the Binary Image (The number of circular objects [NCO] &amp -- ACO) -- 6.10.5 Entropy of the Image -- 6.10.6 Radon Transform Maximum Value (RTMV) -- 6.10.7 Entropy of Radon Transform (ERT) -- 6.10.8 High Amplitude Radon Percentage (HARP) -- 6.10.9 High-Energy Radon Percentage (HERP) -- 6.10.10 Standard Deviation of Radon Transform (STDR) -- 6.10.11 Qth-Moment of Radon Transform (QMRT) -- 6.10.12 Case 2: Image-Based Feature Extraction for Pavement Skid Evaluation -- 6.10.13 Case 3: Image-Based Feature Extraction for Pavement Texture Drainage Capability Evaluation…”

Tabla de Contenidos: “…Autoregressive Moving Average Models (ARMA) -- 2.5.1. Structure of ARMA Models -- 2.5.2. …”

Tabla de Contenidos: “…16.9.2 Metric for comparing quaternion maps -- 16.9.3 Quaternion rings: orientation freedom spaces -- 16.10 Conclusion -- 5 Spherical geometry and quaternions -- 17 Euclidean center of mass and barycentric coordinates -- 17.1 The 1D simplex: N=1 -- 17.2 Triangular simplex: N=2 -- 17.3 Tetrahedral simplex barycenter: N=3 -- 17.4 The N-simplex barycenter -- 17.5 Variational approach to the Euclidean center of mass -- 18 Quaternion averaging and the barycenter -- 18.1 Introduction -- 18.2 The geometry of inter-quaternion distances -- 18.3 Analysis of the quaternion averaging problem -- 19 The quaternion barycentric coordinate problem -- 19.1 Introduction -- 19.2 Review of spherical trigonometry -- 19.3 Spherical triangles as coordinates -- 19.4 Brown-Worsey no-go theorem -- 19.5 Möbius dual coordinates for points in a spherical simplex -- 19.6 Quaternion barycentric coordinates -- 19.7 Remark on intractability of spherical volume ratios for N&gt -- 2 -- 6 Extending quaternions to 4D and SE(3) -- 20 The 4D quaternion-based coordinate and orientation frame alignment problems -- 20.1 Foundations of quaternions for 4D problems -- 20.2 Double-quaternion approach to the 4D RMSD problem -- 20.2.1 Starting point for the 4D RMSD problem -- 20.2.2 A tentative 4D eigensystem -- 20.2.3 Issues with the naive 4D approach -- 20.2.4 Insights from the singular value decomposition -- 20.3 4D orientation frame alignment -- 20.3.1 The 4D orientation frame alignment problem -- 20.4 Extracting quaternion pairs from 4D rotation matrices -- 21 Dual quaternions and SE(3) -- 21.1 Background -- 21.2 Introduction to dual quaternions -- 21.3 The fundamental idea of quaternion-like translations -- 21.4 Refining the dual quaternion to use dual trigonometry -- 21.5 The motion of a dual quaternion -- 21.6 Brief discussion of applications -- 7 Quaternion applications in physics…”

Tabla de Contenidos: “…-- 6.2.5 Phase Lag/Lead Versus Time Delay/Advance -- 6.3 Instantaneous Power in Periodic Waveforms -- 6.4 Average Power in Periodic Waveforms -- 6.5 Effective Value (RMS Value) of Periodic Waveforms -- 6.5.1 RMS Value of Sinusoidal Waveforms -- 6.6 The Power Superposition Principle -- 6.6.1 RMS Value of a Composite Waveform -- 6.7 Summary -- 6.8 Problems -- Chapter 7 : The Sinusoidal Steady-State Response -- 7.1 Transient State and Steady-State in Circuits -- 7.1.1 Governing Differential Equation of Circuits - Examples…”

Tabla de Contenidos: “…-- Taxonomía -- Familia Hesperiidae -- Agara belti (Godman &amp -- Salvin, 1879) -- Anisochoria pedaliodina (Butler, 1870) -- Antigonus erosus (Hübner, [1812]) -- Ardaris aerata (Godman &amp -- Salvin, 1879) -- Artines aepitus (Geyer, 1832) -- Autochton potrillo (Lucas, 1857) -- Bolla sp. -- Burnsius adepta (Plötz, 1884) -- Burnsius orcus (Stoll, 1780) -- Callimormus radiola (Mabille, 1878) -- Callimormus saturnus (Herrich-Schäffer, 1869) -- Canesia lilloi (Hayward, 1947) -- Carrhenes calidius Godman &amp -- Salvin, 1895 -- Cecropterus dorantes (Stoll, 1790) -- Cecropterus doryssus (Swainson, 1831) -- Cecropterus sp. -- Celaenorrhinus sp. -- Chioides catillus (Cramer, 1779) -- Chiomara (asychis) simon Evans, 1953 -- Cobalopsis nero (Herrich-Schäffer, 1869) -- Cobalus virbius (Cramer, 1777) -- Cogia calchas (Herrich-Schäffer, 1869) -- Cymaenes alumna (A. …”

Tabla de Contenidos: “…Mitos y realidades -- Las diferentes situaciones de alerta -- Breve historia de la detección clínica temprana -- Un diagnóstico complejo -- Por una detección precoz -- Capítulo 2. …”

Tabla de Contenidos: “….- CÉLULAS DENDRÍTICAS EN CONTINUO ESTADO DE ALERTA PARA LA PAZ -- 11.3.- CÉLULAS T REGULADORAS Y TOLERANCIA -- 11.4.- PATOLOGÍAS DEL SISTEMA INMUNITARIO DE LAS MUCOSAS -- 12.- TOLERANCIA Y ENFERMEDADES AUTOINMUNITARIAS -- 12.1.- ENFERMEDADES AUTOINMUNITARIAS MÁS COMUNES…”

Tabla de Contenidos: “…Contribution rate -- 2.3.5. Average-earnings component and accrual rate -- 2.3.6. …”

Tabla de Contenidos: “…A Spymaster's More Sensitive Analyses -- Creating statistical summaries -- Parsing the raw data file -- Finding an average value -- Understanding generator expressions -- Finding the value in the middle -- Finding the most popular value -- Creating Python modules and applications -- Creating and using a module -- Creating an application module -- Creating a hybrid module -- Creating our own classes of objects -- Using a class definition -- Comparisons and correlations -- Computing the standard deviation -- Computing a standardized score -- Comparing a sequence and an iterable -- Computing a coefficient of correlation -- Writing high-quality software…”

Tabla de Contenidos: “…-- Big data for analytics -- Big data - a bigger pay package for Java developers -- Basics of Hadoop - a Java sub-project -- Distributed computing on Hadoop -- HDFS concepts -- Design and architecture of HDFS -- Main components of HDFS -- HDFS simple commands -- Apache Spark -- Concepts -- Transformations -- Actions -- Spark Java API -- Spark samples using Java 8 -- Loading data -- Data operations - cleansing and munging -- Analyzing data - count, projection, grouping, aggregation, and max/min -- Actions on RDDs -- Paired RDDs -- Saving data -- Collecting and printing results -- Executing Spark programs on Hadoop -- Apache Spark sub-projects -- Spark machine learning modules -- Mahout - a popular Java ML library -- Deeplearning4j - a deep learning library -- Summary -- Chapter 2: First Steps in Data Analysis -- Datasets -- Data cleaning and munging -- Basic analysis of data with Spark SQL -- Building SparkConf and context -- Dataframe and datasets -- Load and parse data -- Analyzing data - the Spark-SQL way -- Spark SQL for data exploration and analytics -- Market basket analysis - Apriori algorithm -- Implementation of the Apriori algorithm in Apache Spark -- Efficient market basket analysis using FP-Growth algorithm -- Running FP-Growth on Apache Spark -- Summary -- Chapter 3: Data Visualization -- Data visualization with Java JFreeChart -- Using charts in big data analytics -- Time series chart -- All India seasonal and annual average temperature series dataset -- Simple single Time Series chart -- Multiple Time Series on a single chart window -- Bar charts -- Histograms -- When would you use a histogram?…”

Tabla de Contenidos: “…-- Dropout -- Early Stopping -- Additional Methods -- Exercises -- References -- Chapter 5: Advanced Optimizers -- Available Optimizers in Keras in TensorFlow 2.5 -- Advanced Optimizers -- Exponentially Weighted Averages -- Momentum -- RMSProp -- Adam -- Comparison of the Optimizers' Performance -- Small Coding Digression -- Which Optimizer Should You Use?…”

Tabla de Contenidos: “…. -- Chapter 12: Time Series with SQL -- Running totals -- Case scenario -- Lead and lag for time series analysis -- Case scenario -- Key KPIs -- Percentage change -- Case scenario -- Key KPIs -- Moving averages -- Case scenario -- Key KPIs…”

Tabla de Contenidos: “…. -- See also -- Regularizing a CNN with transfer learning for object detection -- Object detection -- Mean average precision -- COCO dataset…”

Tabla de Contenidos: “…Chapter 33 Why It's Important to Explain Difficult Employee Decisions: Treating One Employee Unfairly Hurts Everyone's Productivity -- References -- Chapter 34 Communicating Good Intentions Gets You a Better Outcome -- References -- Part VI Salary and Bonuses -- Chapter 35 Paying People More Doesn't Mean They'll Make Better Decisions -- References -- Chapter 36 Team Bonuses Motivate Employees to Work Harder-and to Help Each Other More -- References -- Chapter 37 Nobody Wants to Be Below Average -- How Performance Bonuses Can Hurt Productivity and Job Satisfaction -- References -- Chapter 38 The Limits of Homo Economicus: Employees Underperform If Their Performance-Based Bonus Hurts Their Colleagues' Bonus -- References -- Chapter 39 Wall Street Bonuses Incentivize Unhealthy Risk Taking-and Increase Systemic Risk -- References -- Chapter 40 Don't Incentivize Employees to Sabotage Colleagues: The Problems with Relative Performance Bonuses -- References -- Part VII Ethics in Companies and on the Markets -- Chapter 41 Markets Hurt Morality: Government Intervention Can Help -- References -- Chapter 42 Unethical Behavior Rises and Falls with Incentives-Make It Hard for People to Get Rich Doing the Wrong Thing -- References -- Chapter 43 Small-Scale Cheating Can Lead to Major Corruption: Leaders Should Not Tolerate Minor Ethical Violations -- References -- Chapter 44 People Care More About the Environment When They Know Their Organization Cares Too -- References -- Chapter 45 The Stunted Career Path of Whistleblowers: Employees View Them As Disloyal -- References -- Chapter 46 A Bad Corporate Culture Can Turn Honest People into Liars -- References -- Part VIII Leadership and the C-Suite -- Chapter 47 Visionary Leaders Outperform Operations-Oriented Leaders Over the Long Term -- References…”

Tabla de Contenidos: “…-- Breadth of Applicability -- Detection Limits -- Accuracy and Precision -- Speed and Cost -- Instrumentation -- Validation -- MONITORING -- Federal Activities -- State Activities -- Food Processing Industry Activities -- Private Laboratories -- QUALITY CONTROLS -- LIMITATIONS OF THE DATA -- Sources of Error -- Other Limitations -- PESTICIDES IN WATER -- Groundwater -- Surface Water -- The Importance of Water Data to Infants and Children -- PESTICIDES IN INFANT FORMULA -- Infant Formula Based on Cow's Milk -- Soy-Based Infant Formula -- Theoretical Maximum Residue Contributions -- PESTICIDES IN HUMAN MILK -- DDT and Metabolites -- Dieldrin -- Lindane -- Hexachlorobenzene -- Other Cyclodiene Pesticides -- Risks to Infants from Pesticides in Human Milk -- PESTICIDES IN FOODS -- The FDA Surveillance Data -- Number of FDA Samples -- Positive Detections -- Residue Levels -- Residue Distribution -- Effects of Processing -- Apple-Based Foods -- Infant Cereal -- CONCLUSIONS AND RECOMMENDATIONS -- Conclusions -- Recommendations -- REFERENCES -- 7 Estimating Exposures -- THE USED OF FOOD CONSUMPTION AND RESIDUE DATA FOR EXPOSURE ASSESSMENT -- Food Consumption Data -- Average Levels of Consumption -- Peak Levels of Consumption -- Residue Monitoring -- Combining Residue and Exposure Data -- LONG-TERM EXPOSURE TO BENOMYL -- The Compound -- The Consumption Data -- The Residue Data -- Estimation of Exposure -- The Manufacturer's Field Trials -- The Manufacturer's Market Basket Survey…”

Tabla de Contenidos: “…. -- SmithKline Beecham -- Wyeth-Ayerst -- Development-Stage Companies…”

“…Activated sludge from a sewage treatment plant is placed in an aeration (SCAS) unit. The test compound (non-volatile, water soluble, organic, non-inhibitoring to bacteria at the test concentration) and settled domestic sewage are added, and the mixture is aerated for 23 hours. …”