Tabla de Contenidos: “…Theory development: evolution of the field ; A model of charismatic leadership ; charismatic leadership: measurement and empirical validity -- pt. 2. Components of charismatic leadership: The leader's search for opportunity ; Aligning the organization through vision ; Implementing the vision -- pt. 3 Remaining challenges: The shadow side of charisma ; Looking to the future -- Appendix: The Conger-Kanungo charismatic ; Leadership questionnaire ; References ; Index ; About the authors…”

Tabla de Contenidos: “…How moral principles can enter into the law -- Throwing light on the role of moral principles in the law: further rexections -- On morality as a necessary or sufficient condition for legality -- Of final things: morality as one of the ultimate determinants of legal validity -- Legal positivism defended -- On the moral status of the rule of law -- On the separability of law and morality -- Moral rights and the limits of the 'ought'-implies-'can' principle: why impeccable precautions are no excuse…”

Tabla de Contenidos: “…Supervising Projects and Dissertations. 9. Programme Validation and Module Management Quality Assurance and All That. 10. …”

Tabla de Contenidos: “…A general framework on the discourses on the legitimacy of international human rights bodies -- Ideology and self-validation : critical legal theory -- The Inter-American Court of Human Rights and its practice as a superconstitutional tribunal -- Two competing legal streams on the legitimacy of the Inter-American Court of Human Rights -- State-centric vs. constitutional discourses? …”

Tabla de Contenidos: “…INTRO: Kill Your DarlingsSKILL: Master Validation; CASE: Gosparc, Master of the Pivot; CASE: Onetab, Pivot to Victory; TOOL: Riskiest Assumption Canvas; TOOL: Experiment Canvas; TOOL: Validation Canvas; Scale; INTRO: When to Scale; The Continuum of Scale; CASE: Different Ways to Scale; CASE: Matter. …”

Tabla de Contenidos: “…-- Navigating the Platform -- Exercise 1: Introducing Jupyter Notebooks -- Jupyter Features -- Exercise 2: Implementing Jupyter's Most Useful Features -- Converting a Jupyter Notebook to a Python Script -- Python Libraries -- Exercise 3: Importing the External Libraries and Setting Up the Plotting Environment -- Our First Analysis - The Boston Housing Dataset -- Loading the Data into Jupyter Using a Pandas DataFrame -- Exercise 4: Loading the Boston Housing Dataset -- Data Exploration -- Exercise 5: Analyzing the Boston Housing Dataset -- Introduction to Predictive Analytics with Jupyter Notebooks -- Exercise 6: Applying Linear Models With Seaborn and Scikit-learn -- Activity 1: Building a Third-Order Polynomial Model -- Using Categorical Features for Segmentation Analysis -- Exercise 7: Creating Categorical Fields From Continuous Variables and Make Segmented Visualizations -- Summary -- Data Cleaning and Advanced Machine Learning -- Introduction -- Preparing to Train a Predictive Model -- Determining a Plan for Predictive Analytics -- Exercise 8: Explore Data Preprocessing Tools and Methods -- Activity 2: Preparing to Train a Predictive Model for the Employee-Retention Problem -- Training Classification Models -- Introduction to Classification Algorithms -- Exercise 9: Training Two-Feature Classification Models With Scikit-learn -- The plot_decision_regions Function -- Exercise 10: Training K-nearest Neighbors for Our Model -- Exercise 11: Training a Random Forest -- Assessing Models With K-fold Cross-Validation and Validation Curves -- Exercise 12: Using K-fold Cross Validation and Validation Curves in Python With Scikit-learn -- Dimensionality Reduction Techniques…”

Tabla de Contenidos: “…-- Subtopic B: Navigating the Platform -- Introducing Jupyter Notebooks -- Subtopic C: Jupyter Features -- Explore some of Jupyter's most useful features -- Converting a Jupyter Notebook to a Python Script -- Subtopic D: Python Libraries -- Import the external libraries and set up the plotting environment -- Our First Analysis - The Boston Housing Dataset -- Subtopic A: Loading the Data into Jupyter Using a Pandas DataFrame -- Load the Boston housing dataset -- Subtopic B: Data Exploration -- Explore the Boston housing dataset -- Subtopic C: Introduction to Predictive Analytics with Jupyter Notebooks -- Linear models with Seaborn and scikit-learn -- Activity B: Building a Third-Order Polynomial Model -- Subtopic D: Using Categorical Features for Segmentation Analysis -- Create categorical fields from continuous variables and make segmented visualizations -- Summary -- Data Cleaning and Advanced Machine Learning -- Preparing to Train a Predictive Model -- Subtopic A: Determining a Plan for Predictive Analytics -- Subtopic B: Preprocessing Data for Machine Learning -- Explore data preprocessing tools and methods -- Activity A: Preparing to Train a Predictive Model for the Employee-Retention Problem -- Training Classification Models -- Subtopic A: Introduction to Classification Algorithms -- Training two-feature classification models with scikit-learn -- The plot_decision_regions Function -- Training k-nearest neighbors for our model -- Training a Random Forest -- Subtopic B: Assessing Models with k-Fold Cross-Validation and Validation Curves -- Using k-fold cross validation and validation curves in Python with scikit-learn -- Subtopic C: Dimensionality Reduction Techniques…”

Tabla de Contenidos: “…Historical Introduction to Clinical Psychology and Psychotherapy -- Toward a Science of Clinical Psychology and Psychotherapy: Theory and Practice -- The Cults of Psychotherapy -- Beyond Reliability and Validity: Toward Specificity in Clinical Psychology and Psychotherapy -- Stepped Care Research in Clinical Psychology and Psychotherapy -- Concreteness: Seven Psychological Orphans in Search of a Theory-Toward a Neo-behaviorist View -- Epilogue and Conclusions: Toward a Hierarchical Personnel Structure in Clinical Psychology and Psychotherapy…”

Tabla de Contenidos: “…Annex D -- Annex C -- Annex A -- Survey Operations Procedures -- Sample Design -- Annex B -- Translation and Cultural Adaptation -- Creating and Checking the International Database -- Construction and Validation of Scales and Indices -- On Line Data Collection -- Estimation Weights, Participation Rates and Sampling Error -- List of abbreviations and acronyms -- Foreword -- Quality Assurance -- Development of Teacher and Principal Questionnaires -- Overview of TALIS 2008 and Framework Development -- Introduction and Summary…”

Tabla de Contenidos: “…Preface -- The DX roadmap -- Step 1: Define a shared vision -- Step 2: Pick the problems that matter most -- Step 3: Validate new ventures -- Step 4: Manage growth at scale -- Step 5: Grow tech, talent, and culture -- Conclusion -- More tools for your business -- Self-assessment: is your organization ready for DX? …”

Tabla de Contenidos: “…Table of Contents Introducing Kaggle and Other Data Science Competitions Organizing Data with Datasets Working and Learning with Kaggle Notebooks Leveraging Discussion Forums Competition Tasks and Metrics Designing Good Validation Modeling for Tabular Competitions Hyperparameter Optimization Ensembling with Blending and Stacking Solutions Modeling for Computer Vision Modeling for NLP Simulation and Optimization Competitions Creating Your Portfolio of Projects and Ideas Finding New Professional Opportunities…”

Tabla de Contenidos: “…Table of Contents Defining Machine Learning Security Mitigating Risk at Training by Validating and Maintaining Datasets Mitigating Inference Risk by Avoiding Adversarial Machine Learning Attacks Considering the Threat Environment Keeping Your Network Clean Detecting and Analyzing Anomalies Dealing with Malware Locating Potential Fraud Defending against Hackers Considering the Ramifications of Deepfakes Leveraging Machine Learning against Hacking Embracing and Incorporating Ethical Behavior…”

Tabla de Contenidos: “…Procedures for Estimating Reliability -- 8. Validity -- 9. Generalizability Theory -- 10. Introduction to Item Response Theory -- 11. …”

Tabla de Contenidos: “…PART 1: Characteristics of Digital Entrepreneurs -- Developing a digital entrepreneurial mindset for data-driven, cloud-enabled, platform-centric business activities: Practical implications and the impact on society -- Unleashing the creativity of entrepreneurs with digital technologies -- Digital entrepreneurship and agile methods in a hackathon case study -- PART 2: Perspectives on Digital Business Models -- Business model development and validation in digital entrepreneurship -- Development and validation of platform businesses in digital entrepreneurship -- Blockchain as an approach for secure data storage on digital consulting platforms -- Artificial intelligence-enhanced business models for digital entrepreneurs -- PART 3: Settings/Contexts of Mobilising Digital Entrepreneurship -- The role of an entrepreneurial mindset in digital transformation: A case study of the Estonian Business School -- Digital creativity: Upgrading creativity in digital business -- Corporate digital entrepreneurship: Leveraging the industrial Internet of things and emerging technologies -- New sources of entrepreneurial finance -- Digital intrapreneurship: The corporate solution to a rapid digitalisation -- PART 4: Global Environments and Digital Entrepreneurship -- Pursuing international opportunities in a digitally-enabled world -- Challenges and opportunities for digital entrepreneurship in developing countries -- Digital entrepreneurship for the ‘decade of action’…”

Tabla de Contenidos: “…Intro -- Copyright -- Content -- Preface -- Part I: Conceptual Principles -- Chapter 1: Introduction -- Chapter 2: Credentialing -- Chapter 3: Evaluation &amp -- CRT Development -- Chapter 4: Approaches to Test Development -- Chapter 5: Defining Content Domain (Part I)-Job Analysis -- Chapter 6: Defining Content Domain (Part II)- Assessment Objectives and the Table of Specifications -- Chapter 7: Item Writing and Scoring -- Chapter 8: Validity -- Chapter 9: Reliability -- Chapter 10: Item Analysis -- Chapter 11: Standard Setting -- Chapter 12: Test Administration Issues -- Chapter 13: A Conclusion of Caveats -- Part II: Technical Appendix -- Chapter 14: Levels of Measurement -- Chapter 15: Mathematical Tools and Microsoft Excel -- Chapter 16: Classical Item Analysis -- Chapter 17: Reliability -- Chapter 18: Standard Error of Measurement (SEM) -- Chapter 19: Validity -- Chapter 20: Scaled Scores -- Chapter 21: Standard Setting -- Chapter 22: Job Analysis -- Overview of the Criterion-Referenced Test (CRT) Development Process -- Publisher's Note -- About the Author -- Index…”

Tabla de Contenidos: “…Part 1: Introduction to Web Performance Optimization -- Chapter 1: Getting Started with Web Performance Optimization -- Chapter 2: General Web Performance Optimization Methods -- Part 2: Modern Web Optimization -- Chapter 3: Web Performance Optimization Framework -- Chapter 4: Mobile Web Performance Optimization -- Chapter 5: Modern Web Platform Performance Principles -- Part 3: Performance Validation and Infrastructure -- Chapter 6: Web Performance Validation -- Chapter 7: Web Performance Monitoring and Infrastructure Planning -- Part 4: Performance Case Studies -- Chapter 8: Web Performance Optimization Case Study -- Chapter 9: A Case Study of Performance Engineering -- Part 5: Performance Patterns -- Chapter 10: Modern Web Performance Patterns -- Chapter 11: Modern Web Data Patterns -- Chapter 12: Modern Web Integration Patterns -- Appendix A: Web Performance Checklist -- Appendix B: Database Performance Checklist -- Appendix C: Performance Test Report Template -- Appendix D: Performance Test Strategy Template -- Appendix E: Modern Web Application Security Assessment Checklist -- Bibliography…”

Tabla de Contenidos: “…Managing Scripts and Styles -- Ajax and Web Services -- Client-Side Validation…”

Tabla de Contenidos: “…Testing for SQL injection -- Classic SQL injection -- Stacked SQL injection -- Union SQL injection -- Hidden union SQL injection -- Boolean SQL injection -- Exploiting SQL injection on a vulnerable API -- Testing for NoSQL injection -- Syntax injection -- Object injection -- Operator injection -- Exploiting NoSQL injection on crAPI -- Validating and sanitizing user input -- Input validation for user registration -- Sanitizing query parameters -- Validating file uploads -- Input validation for numeric input -- Sanitizing HTML input to prevent XSS attacks -- Summary -- Further reading -- Chapter 6: Error Handling and Exception Testing -- Technical requirements -- Identifying error codes and messages -- Fuzzing for exception handling vulnerabilities -- Leveraging error responses for information disclosure -- Summary -- Further reading -- Chapter 7: Denial of Service and Rate-Limiting Testing -- Technical requirements -- Testing for DoS vulnerabilities -- Getting to know Mockoon -- Interacting with Mockoon's endpoints -- Leveraging Scapy to attack Mockoon -- Mockoon with hping3 - initial tests -- Sending random data with hping3 -- Sending fragmented packets with hping3 -- Flooding Mockoon with hping3 packets -- Making the attack more interesting - the "fast" switch -- Identifying rate-limiting mechanisms -- Fixed window counters -- Rolling window logs -- Leaky buckets -- A rate-limiting detection lab -- Circumventing rate limitations -- Summary -- Further reading -- Part 4: API Advanced Topics -- Chapter 8: Data Exposure and Sensitive Information Leakage -- Technical requirements -- Identifying sensitive data exposure -- Elasticsearch and more -- ripgrep -- Testing for information leakage -- Preventing data leakage -- Summary -- Further reading -- Chapter 9: API Abuse and Business Logic Testing -- Technical requirements…”

Tabla de Contenidos: “…. -- Chapter 4: Improving Data Quality in Salesforce CRM -- Introduction -- Preventing non-system administrators from changing account names with a validation rule -- How to do it... -- How it works... -- Enforcing the use of two-letter account country codes using a validation rule -- How to do it... -- How it works... -- Validating if US zip codes are well-formed using a validation rule with REGEX -- How to do it... -- How it works... -- Validating if UK postcodes are well-formed using a validation rule with REGEX -- How to do it... -- How it works... -- Creating a mandatory Reason Lost field for lost opportunities using a validation rule -- Getting ready -- How to do it... -- How it works... -- Blocking excluded countries with a custom country object and VLOOKUP validation rule -- Getting ready -- How to do it... -- How it works... -- Chapter 5: Implementing Approval Processes -- Introduction -- Creating an email template for use with approval assignments -- How to do it... -- Setting up a user to be associated with an approval process -- How to do it... -- Building an opportunity approval process for deals greater than USD 100,000 -- How to do it... -- How it works... -- There's more…”

Tabla de Contenidos: “…-- Literature models synthesis -- Structural and functional approaches -- Stack-level model -- Cell-level model (membrane-electrode assembly, MEA) -- Individual layer level modeling -- Finite element and finite volume approach -- Detailed nexa proton exchange membrane fuel cell stack modeling -- Model experimental validation…”
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