Tabla de Contenidos: “…81 -- 6.6 Conclusion 83 -- 6.7 References 83 -- Part 2 New Modalities and Forms of Work ... 87 -- Chapter 7 Challenges in Deploying Telework: Benefits and Risks for Employees 89 Emilie VAYRE -- 7.1 Telework: definitions and characteristics 89 -- 7.2 The benefits of teleworking 90 -- 7.3 The constraints and risks of teleworking 91 -- 7.4 The challenges of deploying telework in organizations 93 -- 7.4.1 Deploying and experimenting with telework 93 -- 7.4.2 Training of teleworkers and managers 96 -- 7.4.3 Evaluating the deployment of telework 97 -- 7.5 Conclusion 97 -- 7.6 References 98 -- Chapter 8 The Reconfiguration of Managerial Practices through Digital Innovation: The Example of a Work Team in Site Renovation 101 Elodie CHAMBONNI€RE and Jacqueline VACHERAND-REVEL -- 8.1 Introduction: when digital technology is used on renovation sites 101 -- 8.2 At the heart of the renovation sites 103 -- 8.2.1 Supervising in a complex and dynamic system 103 -- 8.2.2 Guiding a worksite: a conductor's activity at the crossroads of various modes of prevention management 103 -- 8.3 Understanding occupational risk prevention activity and prevention management 104 -- 8.4 Ethnography of the activity on a renovation site 106 -- 8.5 Confirming a culture of safety: prevention management 107 -- 8.5.1 Management towards site supervision 108 -- 8.5.2 Middle management 109 -- 8.5.3 Local management: towards construction workers 109 -- 8.6 Digital innovation in occupational risk prevention: restructuring of management practices 110 -- 8.6.1 Hierarchical visits by management 110 -- 8.6.2 Prevention visits by middle management 111 -- 8.6.3 Close supervision of the construction workers 111 -- 8.7 Conclusion: towards a better consideration of digital innovations in prevention management 113 -- 8.8 References 114 -- Chapter 9 Integrating Collaborative Robotics into Work Situations: The Intentions of SME Managers in the Digital Transformation of their Companies 115 Anne-Čcile LAFEUILLADE, Flore BARCELLINI, Willy BUCHMANN and Tahar-Hakim BENCHEKROUN -- 9.1 Transformations in work situations seen through the prism of technocentric solutions 115 -- 9.2 Models of leadership activity to understand change management processes 117 -- 9.2.1 The activity of managers at the crossroads of different roles 117 -- 9.2.2 Developing the intention of managers in change management processes: the contribution of the dialogical model of design 118 -- 9.3 Methodology for data collection and analysis 121 -- 9.4 Managers' desires in the face of reality: an encounter that helped to shape their intentions 123 -- 9.4.1 Elements shaping managers' desires 123 -- 9.4.2 The "conversation" between the desire and reality 124 -- 9.5 The reality, a messenger from the past, in a modernization project 125 -- 9.6 References 126 -- Chapter 10 The Role and Function of Technological Artifacts in Entrepreneurial Activity 129 Irn̈e POIDI, Marc-Eric BOBILLIER CHAUMON and Jacqueline VACHERAND-REVEL -- 10.1 Introduction 129 -- 10.2 Theoretical foundations 130 -- 10.3 Methodology 132 -- 10.4 Results 133 -- 10.5 Discussion and conclusion 137 -- 10.6 References 138 -- Part 3 Psychosocial and Socio-organizational Impacts of the Diffusion of Technology 141 -- Chapter 11 The New Physical Territories of Digital Activity 143 Maria IANEVA, Raluca CIOBANU and Chiara LAI -- 11.1 Introduction 143 -- 11.2 Transformation of spaces and transformation of work and employment: "spatialized work" 145 -- 11.3 From "spatialized work" to the division between space and work 146 -- 11.4 Flexible work environments: from work to "activity" 147 -- 11.4.1 The example of the design of the workspaces of a large company: the reconfiguration of work areas 148 -- 11.4.2 From space allocation to the redefinition of associated tasks 149 -- 11.5 What theoretical models for considering space and its transformations? …”

Tabla de Contenidos: “…10.2.1 Traditional Task Allocation Methods -- 10.2.2 Need of Machine Learning in Task Allocation -- 10.3 Machine Learning-Based Task Allocation Model -- 10.4 Conclusion -- References -- Chapter 11 Software Quality Management by Agile Testing -- 11.1 Introduction -- 11.2 A Brief Introduction to JMeter -- 11.3 Review of Literature -- 11.4 Performance Testing Using JMeter -- 11.5 Proposed Work -- 11.6 Results and Discussions -- 11.7 Conclusion -- References -- Chapter 12 A Deep Drive into Software Development Agile Methodologies for Software Quality Assurance -- 12.1 Introduction -- 12.2 Background Work -- 12.2.1 Factors of Quality Assurance in Agility -- 12.3 Understanding Agile Software Methodologies -- 12.3.1 Need for Agile Software Methodology Framework -- 12.4 Agile Methodology Evaluation Framework -- 12.4.1 Extreme Programming (XP) -- 12.4.2 Scrum -- 12.4.3 Lean Development -- 12.4.4 Crystal Methodology -- 12.4.5 Kanban Methodology -- 12.4.6 Feature Driven Development (FDD) Methodology -- 12.4.7 Dynamic System Development Method (DSDM) -- 12.5 Agile Software Development - Issues and Challenges -- 12.6 Conclusion -- References -- Chapter 13 Factors and Techniques for Software Quality Assurance in Agile Software Development -- 13.1 Introduction -- 13.1.1 Values of the Agile Manifesto -- 13.1.2 The Twelve Agile Manifesto Principles -- 13.1.3 Agile for Software Quality Assurance -- 13.2 Literature Review -- 13.3 Agile Factors in Quality Assurance -- 13.3.1 Success Factors -- 13.3.2 Failure Factors -- 13.4 Quality Assurance Techniques -- 13.5 Challenges and Limitations of Agile Technology -- 13.6 Conclusion and Future Scope -- References -- Chapter 14 Classification of Risk Factors in Distributed Agile Software Development Based on User Story -- 14.1 Introduction -- 14.2 Software Risk Management -- 14.2.1 Risk Assessment -- 14.3 Literature Review…”

Tabla de Contenidos: “…3.6.1 Attacks in Physical Layer -- 3.6.2 Attacks in Data Link Layer -- 3.6.3 Attacks in Network Layer -- 3.6.4 Attacks in Transport Layer -- 3.6.5 Attacks in Application Layer -- 3.7 Security Models -- 3.7.1 Bio-Inspired Trust and Reputation Model -- 3.7.2 Peer Trust System -- 3.8 Case Study: Healthcare -- 3.8.1 Security Risks in Healthcare -- 3.8.2 Prevention from Security Attacks in Healthcare -- 3.9 Minimize the Risks in a Wireless Environment -- 3.9.1 Generate Strong Passwords -- 3.9.2 Change Default Wi-Fi Username and Password -- 3.9.3 Use Updated Antivirus -- 3.9.4 Send Confidential Files with Passwords -- 3.9.5 Detect the Intruders -- 3.9.6 Encrypt Network -- 3.9.7 Avoid Sharing Files Through Public Wi-Fi -- 3.9.8 Provide Access to Authorized Users -- 3.9.9 Used a Wireless Controller -- 3.10 Conclusion -- References -- Chapter 4 Machine Learning-Based Malicious Threat Detection and Security Analysis on Software-Defined Networking for Industry 4.0 -- 4.1 Introduction -- 4.1.1 Software-Defined Network -- 4.1.2 Types of Attacks -- 4.1.2.1 Denial of Services -- 4.1.2.2 Distributed Denial of Service -- 4.2 Related Works -- 4.3 Proposed Work for Threat Detection and Security Analysis -- 4.3.1 Traffic Collection -- 4.3.1.1 Data Flow Monitoring and Data Collection -- 4.3.1.2 Purpose of Data Flow Monitoring and Data Collection -- 4.3.1.3 Types of Collection -- 4.3.2 Feature Selection Using Entropy -- 4.3.3 Malicious Traffic Detection -- 4.3.3.1 Framing of the Expected Traffic Status -- 4.3.3.2 Traffic Filtering Using Regression -- 4.3.4 Traffic Mitigation -- 4.4 Implementation and Results -- 4.5 Conclusion -- References -- Chapter 5 Privacy Enhancement for Wireless Sensor Networks and the Internet of Things Based on Cryptological Techniques -- 5.1 Introduction -- 5.2 System Architecture -- 5.3 Literature Review -- 5.4 Proposed Methodology…”

Tabla de Contenidos: “…Cover -- Title page -- Copyright page -- Contents -- List of Figures -- List of Tables -- About the Authors -- Preface -- Abbreviations -- Abstract -- Chapter 1 - Introduction -- 1.1 - Challenges of modern developing commercial aircraft -- 1.2 - Evolution of aircraft maintenance process -- 1.3 - Aircraft composite structures -- 1.4 - Reliability-centered maintenance -- 1.4.1 - Reliability Design -- 1.4.2 - Reliability-Centered Maintenance -- 1.5 - MSG-3 structural analysis -- 1.6 - A380 maintenance programs -- 1.7 - Summary -- Chapter 2 - Basic Concepts -- 2.1 - Accident -- 2.1.1 - Accident in Aviation -- 2.1.2 - Accident Category in Aviation -- 2.2 - Near misses -- 2.3 - Risk -- 2.4 - Safety -- 2.5 - Reliability -- 2.6 - Risk management -- 2.7 - Incident -- 2.8 - Airworthiness -- 2.9 - Quality -- 2.10 - Airworthiness -- 2.11 - Availability -- 2.12 - Aircraft maintenance -- 2.13 - Sources and types of failure in aircraft -- 2.13.1 - Mechanisms of Failure -- 2.13.2 - Causes of Failure -- 2.13.3 - Sources of Failure -- 2.14 - Maintenance system and tasks -- 2.14.1 - Servicing -- 2.15 - Component servicing -- 2.16 - Overhaul -- 2.17 - Bay servicing -- 2.17.1 - Repair -- 2.17.2 - Modification -- 2.18 - Replacement/throwaway -- 2.19 - Functional testing -- 2.20 - Calibration -- 2.21 - Nondestructive evaluation -- 2.22 - Avionics maintenance -- 2.23 - Software maintenance -- 2.24 - Interdependence of operations and maintenance -- 2.24.1 - Factors Affecting the Airline's Maintenance System -- 2.24.1.1 - Seasonal Traffic Trends -- 2.24.1.2 - Geography of the Operation -- 2.24.1.3 - Location and Size of Maintenance Establishments -- 2.24.1.4 - Size and Composition of the Airline Fleet -- 2.24.1.5 - Aircraft Utilization -- 2.24.1.6 - Weather -- 2.24.1.7 - Availability of Subcontracting for Servicing and Maintenance -- 2.24.1.8 - Competitors' Operations…”

Tabla de Contenidos: “…4.3.4 Testing for Unit Roots in Moving-Average Processes -- 4.4 Cointegration and Error-Correction Models -- 4.4.1 The Relationship Between Cointegration and Economic Theory -- 4.4.2 Definition of Cointegration -- 4.4.3 Error-Correction Models -- 4.4.4 Testing for Cointegration -- References -- 5 Single-Factor Conditionally Heteroskedastic Models, ARCH and GARCH -- 5.1 Stylized Facts and Preliminaries -- 5.1.1 The Stylized Facts of Conditional Heteroskedasticity -- 5.2 Simple Univariate Parametric Models -- 5.2.1 Rolling Window Forecasts -- 5.2.2 Exponential Smoothing Variance Forecasts: RiskMetrics -- 5.2.3 ARCH Models -- 5.2.4 Comparing the Performance of Alternative Variance Forecast Models: Do We Need More Than ARCH? …”

Tabla de Contenidos: “…2.6.1 Smart Manufacturing and Robotics -- 2.6.1.1 Flexible Manufacturing Systems -- 2.6.2 Supply Chain Improvement -- 2.6.2.1 Supply Chain Risk Management -- 2.6.3 Personalized Production and Mass Customization -- 2.6.3.1 Digital Twins for Personalization -- 2.6.4 Autonomous Vehicles and Transportation Systems -- 2.6.5 Energy Management and Sustainability -- 2.6.6 Healthcare Innovation -- 2.6.7 Customer Experience Enhancement -- 2.7 Case Studies and Examples -- 2.7.1 Manufacturing Industry -- 2.7.2 Healthcare Industry -- 2.7.3 Retail Industry -- 2.7.4 Financial Services Industry -- 2.8 Future Outlook -- 2.8.1 Predictions for the Future of AI-Driven Industrial Transformation -- 2.8.2 Opportunities and Challenges On the Horizon -- 2.9 Conclusion -- Chapter 3 Industry 5.0 With Artificial Intelligence: A Data-Driven Approach -- 3.1 Introduction -- 3.2 Different Stages of the Industrial Revolution -- 3.3 Artificial Intelligence Applications in Industry 5.0-Based Sustainable Manufacturing -- 3.4 Artificial Intelligence Applications in Supply Chain Management -- 3.5 Artificial Intelligence Applications in Design and Innovation -- 3.6 Artificial Intelligence Applications in Healthcare -- 3.7 Conclusions and Future Scope -- References -- Chapter 4 An Explorative Study On the Use of Artificial Intelligence in Oman High School Education -- 4.1 Importance of English for Academic Purposes -- 4.2 Artificial Intelligence in Education -- 4.2.1 Chatbot -- 4.2.2 Expert System -- 4.2.3 Intelligent Tutors Or Agents -- 4.2.4 Machine Learning -- 4.2.5 Personalized Learning Systems Or Environments -- 4.2.6 Visualizations and Virtual Learning Environments -- 4.3 English Language Teaching in Oman -- 4.4 A Case Study of Grade 11 Writing Curriculum in the Sultanate of Oman Under the Influence of AI -- 4.5 Research Participants -- 4.6 Instrument -- 4.7 Data Analysis…”

Tabla de Contenidos: “…5.7.2 Minimum MSE Equivariant Estimators -- 5.7.3 Minimum Risk Equivariant Estimators -- 5.7.4 The Pitman Estimators -- 5.8 ESTIMATING EQUATIONS -- 5.8.1 Moment-Equations Estimators -- 5.8.2 General Theory of Estimating Functions -- 5.9 PRETEST ESTIMATORS -- 5.10 ROBUST ESTIMATION OF THE LOCATION AND SCALE PARAMETERS OF SYMMETRIC DISTRIBUTIONS -- PART II: EXAMPLES -- PART III: PROBLEMS -- PART IV: SOLUTIONS OF SELECTED PROBLEMS -- 6 Confidence and Tolerance Intervals -- PART I: THEORY -- 6.1 GENERAL INTRODUCTION -- 6.2 THE CONSTRUCTION OF CONFIDENCE INTERVALS -- 6.3 OPTIMAL CONFIDENCE INTERVALS -- 6.4 TOLERANCE INTERVALS -- 6.5 DISTRIBUTION FREE CONFIDENCE AND TOLERANCE INTERVALS -- 6.6 SIMULTANEOUS CONFIDENCE INTERVALS -- 6.7 TWO-STAGE AND SEQUENTIAL SAMPLING FOR FIXED WIDTH CONFIDENCE INTERVALS -- PART II: EXAMPLES -- PART III: PROBLEMS -- PART IV: SOLUTION TO SELECTED PROBLEMS -- 7 Large Sample Theory for Estimation and Testing -- PART I: THEORY -- 7.1 CONSISTENCY OF ESTIMATORS AND TESTS -- 7.2 CONSISTENCY OF THE MLE -- 7.3 ASYMPTOTIC NORMALITY AND EFFICIENCY OF CONSISTENT ESTIMATORS -- 7.4 SECOND-ORDER EFFICIENCY OF BAN ESTIMATORS -- 7.5 LARGE SAMPLE CONFIDENCE INTERVALS -- 7.6 EDGEWORTH AND SADDLEPOINT APPROXIMATIONS TO THE DISTRIBUTION OF THE MLE: ONE-PARAMETER CANONICAL EXPONENTIAL FAMILIES -- 7.7 LARGE SAMPLE TESTS -- 7.8 PITMAN'S ASYMPTOTIC EFFICIENCY OF TESTS -- 7.9 ASYMPTOTIC PROPERTIES OF SAMPLE QUANTILES -- PART II: EXAMPLES -- PART III: PROBLEMS -- PART IV: SOLUTION OF SELECTED PROBLEMS -- 8 Bayesian Analysis in Testing and Estimation -- PART I: THEORY -- 8.1 THE BAYESIAN FRAMEWORK -- 8.1.1 Prior, Posterior, and Predictive Distributions -- 8.1.2 Noninformative and Improper Prior Distributions -- 8.1.3 Risk Functions and Bayes Procedures -- 8.2 BAYESIAN TESTING OF HYPOTHESIS -- 8.2.1 Testing Simple Hypothesis…”

Tabla de Contenidos: “…Cover -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- Chapter 1 Bioinspired Algorithms: Opportunities and Challenges -- 1.1 Introduction -- 1.1.1 Definition and Significance of Bioinspired Algorithms -- 1.1.2 Overview of the Chapter -- 1.2 Bioinspired Principles and Algorithms -- 1.2.1 Evolutionary Algorithms -- 1.2.2 Swarm Intelligence Algorithms -- 1.2.3 Artificial Neural Networks -- 1.2.4 Other Bioinspired Algorithms -- 1.3 Opportunities of Bioinspired Algorithms -- 1.3.1 Solving Complex Optimization Problems -- 1.3.2 Robustness in Dealing With Uncertainty and Noise -- 1.3.3 Parallel and Distributed Computing -- 1.3.4 Application Areas and Success Stories -- 1.4 Challenges of Bioinspired Algorithms -- 1.4.1 Parameter Tuning and Algorithm Configuration -- 1.4.2 Lack of Theoretical Analysis and Understanding -- 1.4.3 Risk of Premature Convergence -- 1.4.4 Computational Cost for Large-Scale Problems -- 1.4.5 Ethical Considerations and Limitations -- 1.5 Prominent Bioinspired Algorithms -- 1.5.1 Genetic Algorithms -- 1.5.2 Particle Swarm Optimization -- 1.5.3 Ant Colony Optimization -- 1.5.4 Artificial Neural Networks -- 1.6 Applications of Bioinspired Algorithms -- 1.6.1 Optimization Problems -- 1.6.2 Pattern Recognition and Machine Learning -- 1.6.3 Swarm Robotics -- 1.6.4 Other Domains -- 1.7 Future Research Directions -- 1.7.1 Improving Efficiency and Scalability -- 1.7.2 Enhancing Interpretability and Explainability -- 1.7.3 Integration With Other Computational Techniques -- 1.7.4 Addressing Ethical Concerns -- 1.8 Conclusion -- 1.8.1 Summary of Key Points -- 1.8.2 Implications and Future Prospects of Bioinspired Algorithms -- References -- Chapter 2 Evaluation of Phytochemical Screening and In Vitro Antiurolithiatic Activity of Myristica fragrans by Titrimetry Method Using Machine Learning -- 2.1 Introduction…”

Tabla de Contenidos: “…Security as a Business Risk -- D. Trade Agreements -- IV. China: The State Sovereignty Model -- A. …”

Tabla de Contenidos: “…Convenience -- Principle 2: It Is Impossible to Eliminate All Risks -- Principle 3: Rules of Risk Calculation and Mitigating Controls -- Principle 4: Not All Risks Must Be Mitigated -- Principle 5: Security Is Not Just Keeping the Bad Guys Out -- Principle 6: ROI Doesn't Work for Security -- Principle 7: Defense In Depth -- Principle 8: Least Privilege -- Principle 9: CIA Triad -- Principle 10: Prevention, Detection, Deterrents -- Principle 11: Prevention Fails -- Definition of Hacker -- Wireless Networking Basics -- 802.11a/b/g/n -- Access Points -- Autonomous vs. …”

Tabla de Contenidos: “…Critical Path -- Project Schedule -- Activity Slack -- Analyzing Cost-Time Trade‐Offs -- Cost to Crash -- Minimizing Costs -- Assessing and Analyzing Risks -- Risk‐Management Plans -- Managerial Practice 7.1 San Francisco-Oakland Bay Bridge -- Statistical Analysis -- Analyzing Probabilities -- Near‐Critical Paths -- Monitoring and Controlling Projects -- Monitoring Project Status -- Monitoring Project Resources -- Controlling Projects -- Learning Goals in Review -- MyLab Operations Management Resources -- Key Equations -- Key Terms -- Solved Problems -- Discussion Questions -- Problems -- Active Model Exercise -- Video Case Project Management at Choice Hotels International -- Case The Pert Mustang -- PART 2 Managing Customer Demand -- 8 FORECASTING -- Kimberly‐Clark -- Managing Demand -- Demand Patterns -- Demand Management Options -- Key Decisions on Making Forecasts -- Deciding What to Forecast -- Choosing the Type of Forecasting Technique -- Forecast Error -- Cumulative Sum of Forecast Errors -- Dispersion of Forecast Errors -- Mean Absolute Percent Error -- Computer Support -- Judgment Methods -- Causal Methods: Linear Regression -- Time‐Series Methods -- NaÏve Forecast -- Horizontal Patterns: Estimating the Average -- Trend Patterns: Using Regression -- Seasonal Patterns: Using Seasonal Factors -- Criteria for Selecting Time‐Series Methods -- Insights into Effective Demand Forecasting -- Big Data -- Managerial Practice 8.1 Big Data and Health Care Forecasting -- A Typical Forecasting Process -- Using Multiple Forecasting Methods -- Adding Collaboration to the Process -- Forecasting as a Nested Process -- Learning Goals in Review -- MyLab Operations Management Resources -- Key Equations -- Key Terms -- Solved Problems -- Discussion Questions -- Problems -- Video Case Forecasting and Supply Chain Management at Deckers Outdoor Corporation…”

Tabla de Contenidos: “…-- AWS cloud fundamentals -- Understanding the key cloud migration challenges -- Lack of enterprise-wide vision -- Lack of cloud-first mindset -- Lack of technical skill sets -- Lack of a well-defined strategy -- Lack of data security and risk assessment -- Lack of accurate migration budget assessment -- Lack of on-premises-to-cloud compatibility -- The evolving benefits of cloud migration -- Building a cloud-first mindset -- Assess - understanding the present -- Vision - imagining the future state -- Mission - setting the goals…”

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Tabla de Contenidos: “…; ""An Extraordinary Life""; ""Becoming Desperate for God""; ""Keeping an Eye on the Endgame""; ""We Cease to Be Strangers""; ""A Desire for What God Requires""; ""Grace Is Powerfully Other-focused""; ""Risking Your Reputation""; ""Be Absorbed by God, Not Your Own Intentions""; ""Learning to Cooperate with God""; ""Not Recognition, but Rejection""; ""Supernatural Saltiness Flows Through You""…”
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Tabla de Contenidos: “…; CONSEQUENCES OF FORGETTING TO VALUE VALUE; BENEFITS OF FOCUSING ON LONG-TERM VALUE; CHALLENGES OF FOCUSING ON LONG-TERM VALUE; REVIEW QUESTIONS; Chapter 2: Fundamental Principles of Value Creation; GROWTH AND ROIC: DRIVERS OF VALUE; CONSERVATION OF VALUE; RISK AND VALUE CREATION; THE MATH OF VALUE CREATION; SUMMARY; REVIEW QUESTIONS; Chapter 3: The Expectations Treadmill…”

Tabla de Contenidos: “…Chapter 10: Digital Asset ManagementChapter 11: Network Management; Chapter 12: Management of Very Large Distributed Shared Collections; Chapter 13: Search Engine Optimization; Chapter 14: Records Compliance and Risk Management; Chapter 15: Version Control; Chapter 16: Digital Content Licensing; Chapter 17: Piracy in Digital Media; Chapter 18: Information Storage Technologies; Chapter 19: Electronic Records Preservation; Chapter 20: Data and Data Quality; Chapter 21: Information Systems Failure; Part III: Types of Information Retrieval Systems; Chapter 22: Search Engines…”

Tabla de Contenidos: “…; What are the issues in researching theatre with and for kids 'at risk'?; Are there any key issues arising from the ethnographic processes you have used?…”

Tabla de Contenidos: “…; Following up the clues: More complex studies needed; Conclusion; 4 Preventing ill-health or promoting wellbeing?; Risk reduction and resilience promotion; Universal prevention: A whole-population strategy; Promoting positive mental health; Cost-effectiveness; 5 Depression; Variations in rates: Between-population comparisons; Stressful events and long-term social difficulties cause onset; Vulnerability and resilience…”

Tabla de Contenidos: “…Change Your View, Change Your HabitsListen to Who You Listen to; Evidence, Patterns, and Observed Behavior; Practice Altitude Adjustment; Make Unpopular and High-Risk Decisions; Appendix; Ninety-Nine Ways to be Thoughtfully Ruthless With Your Time; Ninety-Nine Ways to be Thoughtfully Ruthless With Your Energy; Ninety-Nine Ways to be Thoughtfully Ruthless With Your Resources; About the Author; Index; End User License Agreement…”