Tabla de Contenidos: “…-- Rhetorical Heritage -- Writer-responsibility -- Low Context -- Linearity -- Caveat -- Conclusion -- References -- 16 Doctoral Students as Early Career University Teachers: What Hinders and What Helps Them to Embrace the Essentials of Good Teaching? …”

Tabla de Contenidos: “…Intro -- Table of Contents -- Foreword -- Preface -- What's New in the Third Edition -- Organization of This Book -- Audience for This Book -- Conventions for This Book -- Contacting the Authors -- Contacting O'Reilly -- Safari® Enabled -- Acknowledgments -- Part I -- Defining Information Architecture -- A Definition -- Tablets, Scrolls, Books, and Libraries -- Explaining IA to Others -- What Isn't Information Architecture? …”

Tabla de Contenidos: “…Installing and setting up vendor.connect -- 4.1 Preparing for the installation -- 4.1.1 Skills required -- 4.2 Installing vendor.connect -- 4.2.1 System21 base -- 4.2.2 Java components and configuration files -- 4.2.3 Restoring libraries -- 4.2.4 Installing and configuring WebSphere -- 4.2.5 IBM HTTP Server for iSeries -- 4.2.6 MQSeries -- 4.2.7 Work Management Trigger Handler for the iSeries -- 4.2.8 Active Architecture framework -- 4.2.9 JConnects server -- 4.2.10 Setting up new vendor.connect user IDs and supplier IDs -- 4.2.11 Database synchronization from System21 to the vendor.connect database -- 4.2.12 Testing the vendor.connect Web site -- 4.2.13 Backing up the configuration components -- 4.3 Changing the iSeries on which the application is running -- 4.4 Housekeeping -- 4.4.1 Daily -- 4.4.2 Stopping -- 4.4.3 Starting -- 4.4.4 Restoring the vendor.connect IFS objects -- Chapter 5. …”

Tabla de Contenidos: “…Machine generated contents note: Preface Introduction I Fundamentals of Multivariate Statistical Process Control 1 Motivation for Multivariate Statistical Process Control 1.1 Summary of Statistical Process Control 1.1.1 Roots and Evolution of Statistical Process Control 1.1.2 Principles of Statistical Process Control 1.1.3 Hypothesis Testing, Type I and II errors 1.2 Why Multivariate Statistical Process Control 1.2.1 Statistically Uncorrelated Variables 1.2.2 Perfectly Correlated Variables 1.2.3 Highly Correlated Variables 1.2.4 Type I and II Errors and Dimension Reduction 1.3 Tutorial Session 2 Multivariate Data Modeling Methods 2.1 Principal Component Analysis 2.1.1 Assumptions for Underlying Data Structure 2.1.2 Geometric Analysis of Data Structure 2.1.3 A Simulation Example 2.2 Partial Least Squares 2.2.1 Assumptions for Underlying Data Structure 2.2.2 Deflation Procedure for Estimating Data Models 2.2.3 A Simulation Example 2.3 Maximum Redundancy Partial Least Squares 2.3.1 Assumptions for Underlying Data Structure 2.3.2 Source Signal Estimation 2.3.3 Geometric Analysis of Data Structure 2.3.4 A Simulation Example 2.4 Estimating the Number of Source Signals 2.4.1 Stopping Rules for PCA Models 2.4.2 Stopping Rules for PLS Models 2.5 Tutorial Session 3 Process Monitoring Charts 3.1 Fault Detection 3.1.1 Scatter Diagrams 3.1.2 Nonnegative Quadratic Monitoring Statistics 3.2 Fault Isolation and Identification 3.2.1 Contribution Charts 3.2.2 Residual-Based Tests 3.2.3 Variable Reconstruction 3.3 Geometry of Variable Projections 3.3.1 Linear Dependency of Projection Residuals 3.3.2 Geometric Analysis of Variable Reconstruction 3.4 Tutorial Session II Application Studies 4 Application to a Chemical Reaction Process 4.1 Process Description 4.2 Identification of a Monitoring Model 4.3 Diagnosis of a Fault Condition 5 Application to a Distillation Process 5.1 Process Description 5.2 Identification of a Monitoring Model 5.3 Diagnosis of a Fault Condition III Advances in Multivariate Statistical Process Control 6 Further Modeling Issues 6.1 Accuracy of Estimating PCA Models 6.1.1 Revisiting the Eigendecomposition of Sz0z0 6.1.2 Two Illustrative Examples 6.1.3 Maximum Likelihood PCA for Known Sgg 6.1.4 Maximum Likelihood PCA for Unknown Sgg 6.1.5 A Simulation Example 6.1.6 A Stopping Rule for Maximum Likelihood PCA Models 6.1.7 Properties of Model and Residual Subspace Estimates 6.1.8 Application to a Chemical Reaction Process - Revisited 6.2 Accuracy of Estimating PLS Models 6.2.1 Bias and Variance of Parameter Estimation 6.2.2 Comparing Accuracy of PLS and OLS Regression Models 6.2.3 Impact of Error-in-Variables Structure upon PLS Models 6.2.4 Error-in-Variable Estimate for Known See 6.2.5 Error-in-Variable Estimate for Unknown See 6.2.6 Application to a Distillation Process - Revisited 6.3 Robust Model Estimation 6.3.1 Robust Parameter Estimation 6.3.2 Trimming Approaches 6.4 Small Sample Sets 6.5 Tutorial Session 7 Monitoring Multivariate Time-Varying Processes 7.1 Problem Analysis 7.2 Recursive Principal Component Analysis 7.3 MovingWindow Principal Component Analysis 7.3.1 Adapting the Data Correlation Matrix 7.3.2 Adapting the Eigendecomposition 7.3.3 Computational Analysis of the Adaptation Procedure 7.3.4 Adaptation of Control Limits 7.3.5 Process Monitoring using an Application Delay 7.3.6 MinimumWindow Length 7.4 A Simulation Example 7.4.1 Data Generation 7.4.2 Application of PCA 7.4.3 Utilizing MWPCA based on an Application Delay 7.5 Application to a Fluid Catalytic Cracking Unit 7.5.1 Process Description 7.5.2 Data Generation 7.5.3 Pre-analysis of Simulated Data 7.5.4 Application of PCA 7.5.5 Application of MWPCA 7.6 Application to a Furnace Process 7.6.1 Process Description 7.6.2 Description of Sensor Bias 7.6.3 Application of PCA 7.6.4 Utilizing MWPCA based on an Application Delay 7.7 Adaptive Partial Least Squares 7.7.1 Recursive Adaptation of Sx0x0 and Sx0y0 7.7.2 MovingWindow Adaptation of Sv0v0 and Sv0y0 7.7.3 Adapting The Number of Source Signals 7.7.4 Adaptation of the PLS Model 7.8 Tutorial Session 8 Monitoring Changes in Covariance Structure 8.1 Problem Analysis 8.1.1 First Intuitive Example 8.1.2 Generic Statistical Analysis 8.1.3 Second Intuitive Example 8.2 Preliminary Discussion of Related Techniques 8.3 Definition of Primary and Improved Residuals 8.3.1 Primary Residuals for Eigenvectors 8.3.2 Primary Residuals for Eigenvalues 8.3.3 Comparing both Types of Primary Residuals 8.3.4 Statistical Properties of Primary Residuals 8.3.5 Improved Residuals for Eigenvalues 8.4 Revisiting the Simulation Examples in Section 8.1 8.4.1 First Simulation Example 8.4.2 Second Simulation Example 8.5 Fault Isolation and Identification 8.5.1 Diagnosis of Step-Type Fault Conditions 8.5.2 Diagnosis of General Deterministic Fault Conditions 8.5.3 A Simulation Example 8.6 Application Study to a Gearbox System 8.6.1 Process Description 8.6.2 Fault Description 8.6.3 Identification of a Monitoring Model 8.6.4 Detecting a Fault Condition 8.7 Analysis of Primary and Improved Residuals 8.7.1 Central Limit Theorem 8.7.2 Further Statistical Properties of Primary Residuals 8.7.3 Sensitivity of Statistics based on Improved Residuals 8.8 Tutorial Session IV Description of Modeling Methods 9 Principal Component Analysis 9.1 The Core Algorithm 9.2 Summary of the PCA Algorithm 9.3 Properties of a PCA Model 10 Partial Least Squares 10.1 Preliminaries 10.2 The Core Algorithm 10.3 Summary of the PLS Algorithm10.4 Properties of PLS 10.5 Properties of Maximum Redundancy PLS References Index…”

Tabla de Contenidos: “…Step 3: Identify Individual Accomplishments and Their Integration with the Work Unit Goals -- Step 4: Convert Expected Accomplishments into Performance Elements, Duly Mentioning Their Type and Priority -- Step 5: Determine Work Unit and Individual Measures -- Step 6: Develop Work Unit and Individual Standards -- Step 7: Determine How to Monitor Performance -- Step 8: Check the Performance Plan -- Preparing the Performance Development Plan -- Transition from Individual Performance Plan to Group Performance Plan -- Performance Plan and Role Clarity -- Role Descriptions Template -- Creating Strategic Plans and Their Alignment with the Performance Plans -- Strategy Realization: Essential Elements Through Performance Plans -- Summary -- Key Words -- General Review Questions -- Critical Review Question -- References -- Further Reading -- Case Study -- Chapter 3: Performance Appraisal -- Introduction -- Definitions -- Role of Appraisals in Performance Management -- Process and Methods of Performance Appraisal -- Purposes of Performance Appraisal -- Importance of Performance Appraisal -- Objectives of Performance Appraisal -- Reasons for Failure of Performance Appraisal -- Steps to Performance Appraisal -- Characteristics of an Appraisal System -- Performance Appraisal Design -- Approaches to Performance Appraisal -- Types and Methods of Performance Appraisal -- Traditional Methods -- Straight Ranking Method -- Paired Comparison Techniques -- Man-to-Man Comparison -- Grading Method -- Graphic or Linear Rating Scale -- Example of Graphic Rating Scale -- Forced Choice Description Method -- Forced Distribution Method -- Checklist Method -- Free Easy Method -- Critical Incident Method -- Work Standard Approach -- Group Appraisal Method -- Field Review Method -- Modern Methods -- Appraisal by Results for Management by Objectives -- Advantages -- Disadvantages…”

Tabla de Contenidos: “…-- Understanding what AI means and what's in it in an intuitive way -- Supervised learning -- Unsupervised learning -- Reinforcement learning -- Practical reinforcement learning -- Agent -- Rewards -- Environment -- State -- Model -- Value function -- State-value function -- Action-value function -- Policy -- Markov Decision Process -- Planning with dynamic programming -- Monte Carlo learning and temporal difference learning -- SARSA and Q-learning -- Deep reinforcement learning -- Practical applications of reinforcement and deep reinforcement learning algorithms -- Summary -- Chapter 3: Getting Started with OpenAI Gym and Deep Reinforcement Learning -- Code repository, setup, and configuration -- Prerequisites -- Creating the conda environment -- Minimal install - the quick and easy way -- Complete install of OpenAI Gym learning environments -- Instructions for Ubuntu -- Instructions for macOS -- MuJoCo installation -- Completing the OpenAI Gym setup -- Installing tools and libraries needed for deep reinforcement learning -- Installing prerequisite system packages -- Installing Compute Unified Device Architecture (CUDA) -- Installing PyTorch -- Summary…”

Tabla de Contenidos: “…LEGO MINDSTORMS NXT 2.0 Piece Library -- B. NXT-G 2.0 Quick Reference -- C. Internet Resources -- General Resources -- Programming Resources -- Bluetooth Resources -- NXT Blogs -- LEGO Computeraided Design Resources -- Building Techniques -- Educational Resources -- Buying LEGO -- LEGO Storage -- Personal Websites -- LEGO Events -- Index -- About the Authors -- Copyright…”

Tabla de Contenidos: “…Common Emitter Transistor Configurations -- Common Base Transistor Configuration -- Common Collector Transistor Configuration -- Basic Operation -- N-P-N Transistor Working -- The Current Components through the Transistor -- Base width Modulation and Early Effect -- 3.2 Transistor Characteristics -- Input Characteristics -- Output Characteristics -- Interpretation of Output Characteristics -- 3.3 Small Signal Low Frequency Amplifier, h-Parameters -- 3.3 Common Base Mode Transistor -- Input Characteristics of CB Transistor -- 3.4 High Frequency Linear Models -- Hybrid-p or Giacoletto Model -- Determination of Hybrid-p Parameters -- Validity of Hybrid-p Model -- 3.5 Field Effect Transistor -- 3.6 FET Characteristics -- Discussion on the Output Charcterristics of FET -- 3.7 N-channel FET as an Amplifier -- Comparison between Field Effect Transistor (FET) and Transistor (BJT) -- 3.8 Metal Oxide Semiconductor FET (MOSFET) -- Manufacturing Process of MOSFET -- 3.9 Unijunction Transistor -- UJT Circuit with Biasing Voltages -- UJT Equivalent Circuit -- Principle of Working of the UJT Device -- 3.10 Silicon Controlled Rectifier (Thyristor) -- SCR Conceptas Two Back-to-Back Connected Transistors -- Questions for Practice -- Points to Remember -- Chapter 4: Amplifiers Using Bipolar Junction Transistors or FET -- 4.1 BJT and FET More Often used in Amplifiers -- 4.2 Transistor Biasing Methods -- Fixed Bias Circuit -- Collector to Base Bias Circuit -- Potential Divider Bias or Self-Bias Circuit -- 4.3 Various Bias Compensation Circuits and their Working -- 4.4 Thermistor Compensation -- Thermal Runaway and Thermal Stability -- 4.5 Small Signal Low Frequency Amplifier -- Analys is of Amplifiers using H-Parameter Models -- Small Signal Low Frequency Model for a Common Emitter Tranisstor Amplifier -- High frequency equivalent circuit -- 4.6 Emitter Follower…”

Tabla de Contenidos: “…-- 2.2 Introduction to the PSSP to CSM transition tools -- 2.2.1 Analysis tools -- 2.2.2 Configuration recording tool: mkcfgutils -- 2.2.3 PSSP removal tools -- 2.2.4 File collections to CFM conversion tool: cfgcfmutil -- 2.3 Procedural steps for each of the transition types -- 2.3.1 All-at-once transition -- 2.3.2 Frame-at-a-time (phased) transition -- 2.3.3 New hardware transition -- 2.4 Risks and time scales -- 2.5 Hardware and software prerequisites -- 2.6 Contingency plans -- 2.6.1 Back-up -- 2.6.2 Points of no return -- 2.7 Cluster verification -- 2.7.1 CSM verification -- 2.8 High Performance Computing (HPC) software stack -- 2.8.1 LoadLeveler -- 2.8.2 General Parallel File System (GPFS) -- 2.8.3 Virtual Shared Disk (VSD) -- 2.8.4 Parallel Environment (PE) -- 2.8.5 Parallel Engineering and Scientific Software Library (ESSL) -- 2.8.6 High Availability Cluster Multi-Processing (HACMP) -- Chapter 3. …”

Tabla de Contenidos: “…Cover -- FM -- Copyright -- Table of Contents -- Preface -- Chapter 1: Understanding and Describing Data -- Introduction -- Data Analytics and Statistics -- Activity 1.01: Classifying a New Dataset -- Types of Statistics -- Methods of Descriptive Statistics -- Univariate Analysis -- Data Frequency Distribution -- Exercise 1.01: Creating a Histogram -- Quantiles -- Exercise 1.02: Calculating the Quartiles for Add-On Sales -- Central Tendency -- Exercise 1.03: Calculating the Central Tendency of Add-On Sales -- Dispersion -- Exercise 1.04: Dispersion of Add-On Sales -- Bivariate Analysis -- Scatterplots -- Linear Trend Analysis and Pearson Correlation Coefficient -- Exercise 1.05: Calculating the Pearson Correlation Coefficient for Two Variables -- Interpreting and Analyzing the Correlation Coefficient -- Time Series Data -- Activity 1.02: Exploring Dealership Sales Data -- Working with Missing Data -- Statistical Significance Testing -- Common Statistical Significance Tests -- SQL and Analytics -- Summary -- Chapter 2: The Basics of SQL for Analytics -- Introduction -- The World of Data -- Types of Data -- Relational Databases and SQL -- Advantages and Disadvantages of SQL Databases -- PostgreSQL Relational Database Management System (RDBMS) -- Exercise 2.01: Running Your First SELECT Query -- SELECT Statement -- The WHERE Clause -- The AND/OR Clause -- The IN/NOT IN Clause -- ORDER BY Clause -- The LIMIT Clause -- IS NULL/IS NOT NULL Clause -- Exercise 2.02: Querying the salespeople Table Using Basic Keywords in a SELECT Query -- Activity 2.01: Querying the customers Table Using Basic Keywords in a SELECT Query -- Creating Tables -- Creating Blank Tables -- Basic Data Types of SQL -- Numeric -- Character -- Boolean -- Datetime -- Data Structures: JSON and Arrays -- Column Constraints -- Simple CREATE Statement…”

Tabla de Contenidos: “…Transforming Your Team into Experts -- Choosing Trainers for ILT -- Working with SMEs -- Nurture Relationships with SMEs -- Be Clear on Expectations -- Recognize and Reward Your SME's Work -- Educate the Team on the Product Roadmap -- The Role of Customer Education in Learning Enablement -- Sales -- Customer Support -- Marketing -- Human Resources -- Your Partner Training Program - Train the Trainer -- Create a Guide -- Consider a Certification Program -- Continue to Educate Your Partners -- Assess and Track -- Chapter 10 Step 8: Design Learning Experiences That Lead to Behavioral Change -- Utilizing Mayer's Principles -- Lesson 1: Avoid Extraneous Information -- Lesson 2: Minimize Cognitive Load -- Lesson 3: Turn Up the Engagement Factor -- Learning Styles versus Learning Strategies -- Chunking, Assessment, and Feedback -- Observational Learning -- Gamification -- Storytelling -- Discussion Boards and Chatrooms -- Practical Considerations for Creating Education Content -- Working Out Which Content Authoring Tools to Use -- Linear versus Nonlinear Navigation -- Chapter 11 Step 9: Make Sure Your Customers Consume Your Content -- Go Back to Your Learning Personas -- Answering: WIIFM? …”

Tabla de Contenidos: “…Internet of Things -- Community Platform -- Augmented Reality and Virtual Reality -- Facial Recognition -- Technology for Society -- Green Material -- Green Manufacturing -- The Impact on a Company -- Key Takeaways -- Chapter 17 The Post-Operational Excellence: Balancing Rigidity and Flexibility -- Rigidity Is Natural -- Weak Entrepreneurial Mindset -- Stagnation of Creativity and Innovation -- Ignoring the Competition -- Not Taking Care of Customers -- Not Transforming the Business Model -- Ignoring Macro-Environment Changes -- Weak Digitization Orientation -- The Value Chain Is Not Dead -- Continual Adjustment of Value Chain -- The Supply Chain Is Even More Relevant -- Integration and Strategic Flexibility -- Integration, Bargaining Position, and QCD -- Insufficiency of Linear Relationship -- The Business Ecosystem Is the Ultimate Domain -- Advantages of a Business Ecosystem -- Operations at the Center Stage -- New Character of Operational Excellence -- Stretching the QCD -- Managing Rigidity and Flexibility -- Key Takeaways -- Epilogue: Visioning the Next Curve -- What Are We Facing Now? …”

Tabla de Contenidos: “…Informing the response to climate change in urban development -- The urban riverfront greenway: A linear attractor for sustainable urban development -- The buildings reuse for a music district aimed at a sustainable urban development -- Environmental design for a sustainable district & civic hub -- Earth observation technologies for mitigating urban climate changes -- A systematic catalogue of design solutions for the regeneration of urban environment contrasting the climate change impact -- Digital twins for climate-neutral and resilient cities. …”

Tabla de Contenidos: “…Storing and transforming real-time data using Kinesis Data Firehose -- Different ways of ingesting data from on-premises into AWS -- AWS Storage Gateway -- Snowball, Snowball Edge, and Snowmobile -- AWS DataSync -- AWS Database Migration Service -- Processing stored data on AWS -- AWS EMR -- AWS Batch -- Summary -- Exam Readiness Drill - Chapter Review Questions -- Chapter 4: Data Preparation and Transformation -- Identifying types of features -- Dealing with categorical features -- Transforming nominal features -- Applying binary encoding -- Transforming ordinal features -- Avoiding confusion in our train and test datasets -- Dealing with numerical features -- Data normalization -- Data standardization -- Applying binning and discretization -- Applying other types of numerical transformations -- Understanding data distributions -- Handling missing values -- Dealing with outliers -- Dealing with unbalanced datasets -- Dealing with text data -- Bag of words -- TF-IDF -- Word embedding -- Summary -- Exam Readiness Drill - Chapter Review Questions -- Chapter 5: Data Understanding and Visualization -- Visualizing relationships in your data -- Visualizing comparisons in your data -- Visualizing distributions in your data -- Visualizing compositions in your data -- Building key performance indicators -- Introducing QuickSight -- Summary -- Exam Readiness Drill - Chapter Review Questions -- Chapter 6: Applying Machine Learning Algorithms -- Introducing this chapter -- Storing the training data -- A word about ensemble models -- Supervised learning -- Working with regression models -- Introducing regression algorithms -- Least squares method -- Creating a linear regression model from scratch -- Interpreting regression models -- Checking adjusted R squared -- Regression modeling on AWS -- Working with classification models -- Forecasting models…”

Tabla de Contenidos: “…Chapter 9: Understanding Feature Engineering and Preparing Data for Modeling -- Chapter 10: Mastering Machine Learning Concepts -- Introducing the machine learning workflow -- Problem statement -- Model selection -- Model tuning -- Model predictions -- Getting started with supervised machine learning -- Regression versus classification -- Linear regression - regression -- Logistic regression -- k-nearest neighbors (k-NN) -- Random forest -- Extreme Gradient Boosting (XGBoost) -- Getting started with unsupervised machine learning -- K-means -- Density-based spatial clustering of applications with noise (DBSCAN) -- Other clustering algorithms -- Evaluating clusters -- Summarizing other notable machine learning models -- Understanding the bias-variance trade-off -- Tuning with hyperparameters -- Grid search -- Random search -- Bayesian optimization -- Summary -- Chapter 11: Building Networks with Deep Learning -- Introducing neural networks and deep learning -- Weighing in on weights and biases -- Introduction to weights -- Introduction to biases -- Activating neurons with activation functions -- Common activation functions -- Choosing the right activation function -- Unraveling backpropagation -- Gradient descent -- What is backpropagation? …”

Tabla de Contenidos: “…Be the coach your people need -- Encouragement -- Part 2 Mindset: ... from defensive to adaptive -- Chapter 3 Linear versus nonlinear -- Context shapes us -- Know your challenges -- Capability 1. …”

Tabla de Contenidos: “…-- Scope of Business English -- Communication to Inform -- Communication to Persuade -- Basic Forms and Types of Communication -- Basic Elements of Communication Process -- The Linear Concept of Communication -- The Shannon-Weaver Model -- The Elements of Communication -- Two-way Communication -- Value and Self Development -- Meetings and Social Visits -- Group Behaviour -- High-context Cultures -- Low-context Cultures -- Time As a Cultural Factor -- Monochronic Time -- Polychronic Time -- Space As a Cultural Factor -- Media of Communication -- Communication and Electronic Media -- Communication and Social Media -- Review Your Learning -- Reflect on Your Learning -- Endnotes -- Chapter 2: Communication Barriers and Methods to Overcome Them -- The Major Difficulties in Communication -- Barriers to Communication -- Improving Communication -- Principles of Effective Communication -- The Seven Cs of Communication -- Universal Elements in Communication -- Review Your Learning -- Reflect on Your Learning -- Endnotes -- Chapter 3: Oral Communication -- What Is Oral Communication? …”

Tabla de Contenidos: “…Clinical Sampling -- Obtaining Pure Cultures -- Culture Media -- Special Culture Techniques -- Preserving Cultures -- Growth of Microbial Populations -- Generation Time -- Mathematical Considerations in Population Growth -- Phases of Microbial Population Growth -- Continuous Culture in a Chemostat -- Measuring Microbial Reproduction -- CHAPTER SUMMARY -- QUESTIONS FOR REVIEW -- CRITICAL THINKING -- CONCEPT MAPING -- 7 Microbial Genetics -- The Structure and Replication of Genomes -- The Structure of NucleicAcids -- The Structure of Prokaryotic Genomes -- The Structure of Eukaryotic Genomes -- DNA Replication -- Gene Function -- The Relationship Between Genotype and Phenotype -- The Transfer of Genetic Information -- The Events in Transcription -- Translation -- Regulation of Genetic Expression -- Mutations of Genes -- Types of Mutations -- Effects of Point Mutations -- Mutagens -- Frequency of Mutation -- DNA Repair -- Identifying Mutants, Mutagens, and Carcinogens -- Genetic Recombination and Transfer -- Horizontal Gene Transfer Among Prokaryotes -- Transposons and Transposition -- CHAPTER SUMMARY -- QUESTIONS FOR REVIEW -- CRITICAL THINKING -- CONCEPT MAPING -- 8 Recombinant DNA Technology -- The Role of Recombinant DNA Technologyin Biotechnology -- The Tools of Recombinant DNA Technology -- Mutagens -- The Use of Reverse Transcriptase to Synthesize cDNA -- Synthetic Nucleic Acids -- Restriction Enzymes -- Vectors -- Gene Libraries -- Techniques of Recombinant DNA Technology -- Multiplying DNA In Vitro: The Polymerase Chain Reaction -- Selecting a Clone of Recombinant Cells -- Separating DNA Molecules: Gel Electrophoresis and the Southern Blot -- DNA Microarrays -- Inserting DNA into Cells -- Applications of Recombinant DNA Technology -- Genetic Mapping -- Environmental Studies -- Pharmaceutical and Therapeutic Applications…”

Tabla de Contenidos: “…Zur globalen Struktur: legitimatorische Hintergründe und non-lineares Erzählen -- 2. Zu den handelnden Personen: genealogisches Geflecht und Spiegelungen des Protagonisten -- 3. …”

Tabla de Contenidos: “…-- 1.2 Großer Funktionsumfang durch Zusatzpakete -- 1.3 Download und Installation (Windows, macOS, Linux) -- 1.3.1 Windows -- 1.3.2 macOS -- 1.3.3 Linux -- 1.4 Umgang mit FreeCAD -- 1.5 Die FreeCAD-Benutzeroberfläche -- Kapitel 2: Übersicht über die Arbeitsbereiche -- 2.1 FreeCADs Arbeitsbereiche -- 2.2 Bevor Sie loslegen: Grundeinstellungen -- 2.3 Die Statusleiste -- 2.4 Arbeitsbereich »Part Design« -- 2.4.1 Werkzeugkasten Part Design Helfer -- 2.5 Der Sketcher -- 2.5.1 Werkzeugkasten »Skizzengeometrien« -- 2.5.2 Werkzeugkasten »Sketcher-Randbedingungen« -- 2.5.3 Vollständige Skizze, Beschränkungen und Freiheitsgrade -- 2.5.4 Werkzeugkasten »Sketcher-Werkzeuge« -- 2.5.5 Werkzeugkasten »B-Spline Werkzeuge« -- 2.5.6 Werkzeugkasten »Virtueller Bereich« -- 2.6 3D-Modellieren unter Verwendung von Skizzen -- 2.6.1 Mehrere Körper (Body), mehrere Skizzen (Sketch) -- 2.6.2 Werkzeugkasten »Part Design - Modellierung« -- 2.6.3 Funktionen zum additiven Erzeugen von Körpern aus Skizzen -- 2.7 Funktionen zum Abziehen von Volumenteilen -- 2.7.1 Tasche -- 2.7.2 Bohrung -- 2.7.3 Nut -- 2.7.4 Ausformung -- 2.7.5 Rohr -- 2.7.6 Wendel -- 2.7.7 Grundkörper abziehen -- 2.8 Detailbearbeitungen -- 2.8.1 Verrundung -- 2.8.2 Fase -- 2.8.3 Formschräge -- 2.8.4 Dicke, Wandstärke -- 2.8.5 Sonderkonstruktionen -- 2.9 Anordnungen -- 2.9.1 Spiegeln -- 2.9.2 Lineares Muster -- 2.9.3 Polares Muster -- 2.9.4 Mehrfache Transformation -- 2.10 Boolesche Operationen mit zwei oder mehreren Körpern -- Kapitel 3: Komplett-Beispiel Volumenmodellierung: Schraubenschlüssel -- 3.1 Der Schraubenschlüssel -- 3.2 Neue Konstruktion und grober Umriss -- 3.2.1 Skizzieren -- 3.2.2 Volumenkörper erzeugen und bearbeiten…”