Tabla de Contenidos: “…Die Sicherung der Anleihen -- 1.3.5. Zur Entwicklung der Aufgabenschwerpunkte von EGKS-Darlehen -- 1.4. …”

Tabla de Contenidos: “…11.2 Case Studies: The Pioneering Projects -- 11.3 Case Studies: Residential Reuse Australia-Wide -- 11.4 Main Challenges and Lessons Learned -- 11.5 Overview -- References and Further Reading -- Part III: Urban water reuse: decentralised water recycling systems -- Chapter 12: Semi-decentralized water recycling in megacities: the example of Tokyo Shinjuku Area -- 12.1 Introduction -- 12.2 The Water Reuse Project in Shinjuku Area -- 12.3 Conclusions: Keys to Success of Urban Water Reuse in Tokyo -- References and Further Reading -- Chapter 13: Water reuse in the America's first green high-rise residential building - the Solaire -- 13.1 Introduction -- 13.2 Technical Challenges of Water Quality Control -- 13.3 Water Reuse Applications -- 13.4 Economics of Water Reuse -- 13.5 Human Dimension of Water Reuse -- 13.6 Conclusions and Main Keys to Success -- References and Further Reading -- Chapter 14: On-site water reclamation and reuse in individual buildings in Japan -- 14.1 Introduction -- 14.2 General Description of on-site Water Reclamation in Individual Buildings -- 14.3 Efficiency of Membrane Bioreactors used for on-site Water Reclamation in a Business Building -- 14.4 Conclusions: Keys to Success of in-building Recycling and Reuse -- References and Further Reading -- Part IV: Agricultural use of recycled water -- Chapter 15: Production of high quality recycled water for agricultural irrigation in Milan -- 15.1 Introduction -- 15.2 Technical Challenges in Water Quality Control -- 15.3 Water Reuse Applications -- 15.4 Economics of Water Reuse -- 15.5 Human Dimension of Water Reuse -- 15.6 Conclusions and Lessons Learned -- References and Further Reading -- Chapter 16: Key to success of water reuse for agricultural irrigation in France -- 16.1 Introduction -- 16.2 Technical Challenges of Water Quality Control -- 16.3 Water Reuse Applications…”

Tabla de Contenidos: “….) -- 13.1 INTRODUCCIÓN -- 13.2 PLANTEAMIENTO DEL PROBLEMA -- 13.3 MARCO TEÓRICO -- 13.4 METODOLOGÍA DE LA INVESTIGACIÓN -- 13.5 ANÁLISIS DE RESULTADOS -- 13.6 CONCLUSIONES -- CAPÍTULO 14. …”

Tabla de Contenidos: “…s Method 7.5 Discussion 7.6 Conclusion References Part Four Multiobjective Optimization 8 Interactive Approaches Applied to Multiobjective Evolutionary Algorithms 8.1 Introduction 8.1.1 Methods Analyzed in this Chapter 8.2 Basic Concepts and Notation 8.2.1 Multiobjective Optimization Problems 8.2.2 Classical Interactive Methods 8.3 MOEAs Based on Reference Point Methods 8.3.1 A Weighted Distance Metric 8.3.2 Light Beam Search Combined with NSGA-II 8.3.3 Controlling the Accuracy of the Pareto Front Approximation 8.3.4 Light Beam Search Combined with PSO 8.3.5 A Preference Relation Based on a Weighted Distance Metric 8.3.6 The Chebyshev Preference Relation 8.4 MOEAs Based on Value Function Methods 8.4.1 Progressive Approximation of a Value Function 8.4.2 Value Function by Ordinal Regression 8.5 Miscellaneous Methods 8.5.1 Desirability Functions 8.6 Conclusions and Future Work References 9 Generalized DEA and Computational Intelligence in Multiple Criteria Decision Making 9.1 Introduction 9.2 Generalized Data Envelopment Analysis 9.2.1 Basic DEA Models: CCR, BCC and FDH Models 9.2.2 GDEA Model 9.3 Generation of Pareto Optimal Solutions using Generalized DEA and Computational Intelligence 9.3.1 GDEA in Fitness Evaluation 9.3.2 GDEA in Deciding the Parameters of Multi-objective PSO 9.3.3 Expected Improvement for Multi-objective Optimization Using GDEA 9.4 Summary References 10 Fuzzy Multiobjective Optimization 10.1 Introduction 10.2 Solution Concepts for Multiobjective Programming 10.3 Interactive Multiobjective Linear Programming 10.4 Fuzzy Multiobjective Linear Programming 10.5 Interactive Fuzzy Multiobjective Linear Programming 10.6 Interactive Fuzzy Multiobjective Linear Programming with Fuzzy Parameters 10.7 Interactive Fuzzy Stochastic Multiobjective Linear Programming 10.8 Related Works and Applications References Part Five Applications in Management and Engineering 11 MCDA & Agents: Supporting Effective Resource Federation in Virtual Organizations 11.1 Introduction 11.2 The Intuition of Multiple Criteria Decision Aid in Multi-agent Systems 11.3 Resource Federation Applied 11.3.1 Describing the Problem in a Cloud Computing Context 11.3.2 Problem Modeling 11.3.3 Assessing Agents' Value Function for Resource Federation 11.4 An Illustrative Example 11.5 Conclusions References 12 Fuzzy AHP Using Type II Fuzzy Sets: An Application to Warehouse Location Selection 12.1 Introduction 12.2 Multicriteria Selection 12.2.1 The ELECTRE (E<U+00cc><U+0081>limination Et Choix Traduisant la Realite) Method 12.2.2 PROMETHEE (Preference Ranking Organization Method for Enrichment Evaluations) 12.2.3 TOPSIS (Technique for Order Preference by Similarity to Ideal Situation) 12.2.4 The WSM (Weighted Sum Model) Method 12.2.5 MAUT (Multi-attribute Utility Theory) 12.2.6 AHP (Analytic Hierarchy Process) 12.3 Literature Review on Fuzzy AHP 12.4 Buckley's Type-1 Fuzzy AHP 12.5 Type-2 Fuzzy Sets 12.6 Type-2 Fuzzy AHP 12.7 An Application: Warehouse Location Selection 12.8 Conclusion References 13 Applying Genetic Algorithms to Optimize Energy Efficiency in Buildings 13.1 Introduction 13.2 State-of-the-Art Review 13.3 An Example Case Study 13.3.1 Basic Principles and Problem Definition 13.3.2 Decision Variables 13.3.3 Decision Criteria 13.3.4 Decision Model 13.4 Development and Application of a Genetic Algorithm for the Example Case Study 13.4.1 Development of the Genetic Algorithm 13.4.2 Application of the Genetic Algorithm, Analysis of Results and Discussion 13.5 Conclusions References 14 Nature-Inspired Intelligence for Pareto Optimality Analysis in Portfolio Optimization 14.1 Introduction 14.2 Literature Review 14.3 Methodological Issues 14.4 Pareto Optimal Sets in Portfolio Optimization 14.4.1 Pareto Efficiency 14.4.2 Mathematical Formulation of the Portfolio Optimization Problem 14.5 Computational Results 14.5.1 Experimental Setup 14.5.2 Efficient Frontier 14.6 Conclusion References Index…”

Tabla de Contenidos: “…Machine learning-based techniques -- 1.3.5. Clustering techniques -- 1.3.6. Hybrid techniques -- 1.4. …”

Tabla de Contenidos: “…11.3 Illustrative Example -- 11.4 Residual Value of Development Land -- 11.5 Investment Risk in Development Project -- 11.6 Conclusion -- Chapter 12 Basic Flexibility in Development Projects: The Most Basic Flexibility in Real Estate Development is the Option to Choose whether and when to Build -- 12.1 Review of Call (and Put) Options -- 12.2 Land as a Call Option on Development -- 12.3 Drivers of Option Value -- 12.4 A Practical Example of a Call (and Put) Option -- 12.5 Flexibility and Scenario Analysis for Development Projects -- 12.6 Conclusion -- Chapter 13 Option Dichotomies: We Introduce a Typology of Flexibility in Development Projects -- 13.1 Three Dichotomies for Thinking Generally about Development Options -- 13.2 Defensive versus Offensive Options -- 13.3 Options "On" and "In" Projects -- 13.4 Timing Options versus Product Options -- 13.5 Conclusion -- Chapter 14 Product Options in Development: We Discuss Three types of Product Options -- 14.1 Concept of Base Plan -- 14.2 Product Expansion Flexibility -- 14.3 Product Mix Flexibility -- 14.4 Conclusion -- Chapter 15 Timing Options in Development: Now we Turn to the Types of Timing Options -- 15.1 Project Start-Timing Flexibility (The Delay Option) -- 15.2 Project Production Timing Flexibility -- 15.3 Modular Production Timing Flexibility -- 15.4 Phasing Timing Flexibility -- 15.5 Types of Phasing -- 15.6 Recognizing Defensive and Offensive Options in Simulation Results -- 15.7 Conclusion -- Chapter 16 Garden City: An Example Multi-Asset Development Project: We Present the Traditional DCF Valuation Spreadsheet Model for the Example Development Project We use in the Rest of Book -- 16.1 Overview of Multi‐Asset Development Project -- 16.2 Structure of a Realistic Multi-Asset Spreadsheet Pro Forma -- 16.3 Cash Flows for the Example Pro Forma -- 16.4 Temporal Profile for Base Case…”

Tabla de Contenidos: “…12.7.2 3D-Dokument aktualisieren und bearbeiten -- 12.7.3 3D-Dokument bemaßen -- 12.8 Übungsfragen -- Kapitel 13: Organisation, Layout und Plot -- 13.1 Organisation -- 13.1.1 Der Navigator -- 13.1.2 Der Organisator -- 13.1.3 Layoutbuch -- 13.2 Plotten -- 13.3 Drucken -- 13.4 Publizieren -- 13.4.1 Publisher-Sets -- 13.5 Übungsfragen -- Kapitel 14: Projekteinstellungen, Geschosse und Ebenen -- 14.1 Projekteinstellungen -- 14.1.1 Arbeitseinheiten -- 14.1.2 Bemaßungseinstellungen -- 14.1.3 Berechnungseinheiten und -regeln -- 14.1.4 Raumflächen -- 14.1.5 Referenzhöhen -- 14.1.6 Projektlage -- 14.1.7 Nordrichtung einstellen -- 14.2 Geschossverwaltung -- 14.3 Ebenen -- 14.4 Übungsfragen -- Kapitel 15: Visualisierung -- 15.1 Vorbereitungen -- 15.1.1 Sonnenstand und Ort -- 15.1.2 Photorealistik-Einstellungen -- 15.1.3 Kamera -- 15.1.4 Lichtquellen -- 15.2 Photorealistische Bilder -- 15.3 Animationen -- 15.4 Sonnenstudie -- 15.5 Übungsfragen -- Kapitel 16: Konstruktionsbeispiel -- 16.1 Das Projekt -- 16.2 Die Geschosse -- 16.3 Das Erdgeschoss -- 16.3.1 Wände -- 16.3.2 Türen und Fenster -- 16.4 Die anderen Geschosse -- 16.5 Das Gelände -- 16.6 Der Keller -- 16.6.1 Kellertrepe außen -- 16.6.2 Der Kellerboden -- 16.6.3 Fundamente -- 16.7 Treppe in Erdgeschoss -- 16.7.1 Kellerdecke -- 16.7.2 Der Balkon -- 16.8 Der Hauseingang -- 16.9 Das Dach -- 16.10 Übungsfragen -- Anhang A: Fragen und Antworten -- Anhang B: Unterschiede Windows - Macintosh und Tastaturkürzel -- Anhang C: Die Benutzeroberfläche im Detail -- Stichwortverzeichnis…”

Tabla de Contenidos: “…11.2 Organization of the I/O Function -- 11.3 Operating System Design Issues -- 11.4 I/O Buffering -- 11.5 Disk Scheduling -- 11.6 RAID -- 11.7 Disk Cache -- 11.8 UNIX SVR4 I/O -- 11.9 Linux I/O -- 11.10 Windows I/O -- 11.11 Summary -- 11.12 Key Terms, Review Questions, and Problems -- Chapter 12 File Management -- 12.1 Overview -- 12.2 File Organization and Access -- 12.3 B-Trees -- 12.4 File Directories -- 12.5 File Sharing -- 12.6 Record Blocking -- 12.7 Secondary Storage Management -- 12.8 UNIX File Management -- 12.9 Linux Virtual File System -- 12.10 Windows File System -- 12.11 Android File Management -- 12.12 Summary -- 12.13 Key Terms, Review Questions, and Problems -- PART 6 EMBEDDED SYSTEMS -- Chapter 13 Embedded Operating Systems -- 13.1 Embedded Systems -- 13.2 Characteristics of Embedded Operating Systems -- 13.3 Embedded Linux -- 13.4 TinyOS -- 13.5 Key Terms, Review Questions, and Problems -- Chapter 14 Virtual Machines -- 14.1 Virtual Machine Concepts -- 14.2 Hypervisors -- 14.3 Container Virtualization -- 14.4 Processor Issues -- 14.5 Memory Management -- 14.6 I/O Management -- 14.7 VMware ESXi -- 14.8 Microsoft Hyper-V and Xen Variants -- 14.9 Java VM -- 14.10 Linux Vserver Virtual Machine Architecture -- 14.11 Summary -- 14.12 Key Terms, Review Questions, and Problems -- Chapter 15 Operating System Security -- 15.1 Intruders and Malicious Software -- 15.2 Buffer Overflow -- 15.3 Access Control -- 15.4 UNIX Access Control -- 15.5 Operating Systems Hardening -- 15.6 Security Maintenance -- 15.7 Windows Security -- 15.8 Summary -- 15.9 Key Terms, Review Questions, and Problems -- Chapter 16 Cloud and IoT Operating Systems -- 16.1 Cloud Computing -- 16.2 Cloud Operating Systems -- 16.3 The Internet of Things -- 16.4 IoT Operating Systems -- 16.5 Key Terms and Review Questions -- APPENDICES -- Appendix A Topics in Concurrency…”

Tabla de Contenidos: “…Introducing Tivoli Data Warehouse 1.2 -- 1.1 Data warehousing basics -- 1.1.1 Data warehouse -- 1.1.2 Data mart -- 1.1.3 Business intelligence -- 1.1.4 Data mining -- 1.2 Tivoli Data Warehouse -- 1.3 What is new in Tivoli Data Warehouse 1.2 -- 1.3.1 Crystal EnterpriseTM -- 1.3.2 IBM DB2 UDB for OS/390 and z/OS support -- 1.3.3 Flexible and extended configuration support -- 1.3.4 Installation enhancements -- 1.3.5 Serviceability and scalability improvements -- 1.4 Tivoli Data Warehouse architecture -- 1.4.1 Tivoli Data Warehouse control center server -- 1.4.2 Source databases -- 1.4.3 Central data warehouse -- 1.4.4 Data marts -- 1.4.5 Warehouse agents and agent sites -- 1.4.6 Crystal Enterprise Server -- 1.5 Benefits of using Tivoli Data Warehouse -- Chapter 2. …”

Tabla de Contenidos: “…Table of Contents Foreword 13 1 Introduction 15 1.1 This Study 15 1.2 Background of the Study 15 1.3 Relevance of the Study 16 1.3.1 Relevance to Special Education 16 1.3.2 Relevance to Inclusion 17 1.3.3 Relevance to Austria 18 1.3.4 Relevance to Research 19 1.3.5 Relevance to Challenges 19 1.3.6 Relevance to Methodology 21 1.4 Purpose of the Study 21 1.5 Significance of the Study 22 1.6 Definitions of Terms 23 2 Guiding Interests 25 2.1 Culture, Cultural Diversity and Multiculturalism 25 2.2 Multicultural Education 26 2.3 Culturally Responsive Teaching 27 2.4 Teacher Education for Diversity 28 2.5 Migration and Integration 29 2.6 Immigrants and Education 29 2.7 Educational Equity 30 3 Context 33 3.1 Diversity in Austria 33 3.1.1 Religious Diversity 35 3.1.2 Immigrants in Austria 35 3.2 Education in Austria 36 3.2.1 Historical Background of Education 36 3.2.2 School System in Austria 38 3.2.3 Diversity in Schools 39 3.2.4 Intercultural Learning Principle 40 3.2.5 Educational Statistics 41 3.2.6 Students with a Turkish Background 42 3.2.7 Integration and Education 43 3.3 Special Education in Austria 43 3.3.1 Historical Background of Special Education in Austria 44 3.3.2 Current Special Education in Austria 44 3.3.3 Disability Policy for Inclusion 47 3.3.4 Referral to Special Education 47 3.3.5 School Inspectors and School Psychologists in Austria 48 3.4 Teacher Training in Austria 49 3.4.1 Teacher Training for Special Education 50 4 Methodology and Epistemology 51 4.1 Restatement of Purpose 51 4.2 Qualitative Methodology 51 4.2.1 Assumptions of Qualitative Research 52 4.3 Grounded Theory Research 52 4.3.1 Classic Grounded Theory 54 4.3.2 Straussian Grounded Theory 54 4.3.3 Constructivist Grounded Theory 55 4.3.4 Generalizations in Grounded Theory 59 4.3.5 Abstraction from Time and Space with Grounded Theory 59 4.3.6 Grounded Theory in Educational Research 59 4.4 Research Design and Research Questions 60 4.5 Methodology and Methods 61 4.5.1 Reflexivity 61 4.5.2 Researcher Position 62 4.5.3 Theoretical Sensitivity 63 4.5.4 The Use of Literature in Grounded Theory 65 5 Data and Data Collection 67 5.1 Data and Data Collection in Grounded Theory 67 5.2 Research Site 67 5.3 Otherness versus Nativity 68 5.4 Research Settings 68 5.5 Research Speech 69 5.6 Population and Sampling 70 5.6.1 Criteria for Participation 70 5.6.2 Sampling 71 5.7 Participants 73 5.8 Instrument 75 5.8.1 Intensive Interviews 75 5.9 Data Collection Process 77 5.9.1 Conducting Intensive Interviews 77 5.9.2 Individual Interviews 80 5.9.3 Focus Group Meeting 80 5.10 Importance of Narration 81 5.11 Asking Questions 83 5.11.1 Closed Questions 83 5.11.2 Open Questions 83 5.12 Writing 84 5.12.1 Field Notes 84 5.12.2 Memos 85 5.13 Documents 86 5.14 Language 87 5.15 Collected Data 88 5.16 Ethical Consideration 88 5.17 Problems Encountered in the Data Collection Phase 89 6 Data Analysis and Quality Check 91 6.1 Analysis in Grounded Theory 91 6.2 Data Management and Analysis 92 6.3 Grounded Theory Coding 92 6.3.1 Initial Coding 93 6.3.2 Constant Comparison 95 6.3.3 Focused Coding 95 6.3.4 Theoretical Sampling 98 6.3.5 Categories 99 6.3.6 Theoretical Coding 101 6.3.7 Outliers 103 6.3.8 In Vivos 103 6.3.9 Theoretical Saturation 103 6.3.10 Theoretical Sorting, Diagramming, Integrating 104 6.3.11 Generating a Theory 104 6.4 Research Question Revisited 106 6.5 Research Design Revisited 106 6.6 Quality of the Study 107 6.7 Presentation of the Research Findings 110 7 Categories from Different Perspectives 113 7.1 Research Questions 113 7.2 Collected Data 113 7.3 Participants 114 7.3.1 Parents 114 7.3.2 Teachers 114 7.3.3 Psychologists 114 7.3.4 School Directors and School Inspector 115 7.4 Initial Codes 116 7.5 Categorizing Process 116 7.6 Memoing 117 7.7 Theoretical Codes 118 7.8 Categories 118 7.9 Parents' Categories 119 7.9.1 Rejecting Special Education 120 7.9.2 Taking over the Responsibility 123 7.9.3 In a Battlefield 126 7.9.4 Disassociation 128 7.9.5 Summary for Meaning of the Special Education Referral for Parents 132 7.10 Teachers' Categories 132 7.10.1 An Obscure Journey 133 7.10.2 Regretful Accomplice 137 7.10.3 Passing the Ball 140 7.10.4 Conditional Trust 143 7.10.5 Summary for the Meaning of Special Education Referral for Teachers 144 7.11 Psychologists' Categories 145 7.11.1 There to Test 145 7.11.2 Summary for the Meaning of Special Education Referral for Psychologists 147 7.12 School Inspector and Directors' Categories 147 7.12.1 Proving Prominence 147 7.12.2 Prominent but Neutral 149 7.12.3 Summary for the Meaning of Special Education Referral for Directors 150 8 Defining the Core Category 151 8.1 Core Category 151 8.2 The Core Category 'Disassociation' 151 8.2.1 Ways of Disassociation 152 8.2.2 Disassociation and Parents 153 8.2.3 Disassociation and Teachers 154 8.2.4 Disassociation and School Psychologists 155 8.2.5 Disassociation and School Directors and Inspector 156 8.3 Process of Disassociation 157 9 Theory Generation 159 9.1 Brief Revisit to Research Process 159 9.2 From Categories to Theory 159 9.3 Core Category 'Disassociation' 161 9.4 Relating Participant Groups 162 9.4.1 Reciprocity 162 9.4.2 Involvement of the Parents and Externals 163 9.4.3 Suspicion in the Process 165 9.4.4 Ambiguity 166 9.5 Developing a Theory 167 9.6 Theory 'Building on Mutual Distrust' 168 9.6.1 Distrust by Parents 168 9.6.2 Distrust by Teachers 169 9.6.3 Distrust by School Directors and the Inspector 170 9.6.4 Distrust by School Psychologists 170 9.6.5 Place of Mutual Distrust 171 9.6.6 Extended Mutual Distrust 172 9.6.7 Theory 'Building on Mutual Distrust' 175 9.6.8 Summary 177 10 Discussion 179 10.1 Educational Equity 179 10.2 Special Education and Immigrants 180 10.3 Language and Employment 181 10.4 Embeddedness in Social Group 183 10.5 Family Involvement 185 10.6 Power in School 187 10.7 Trust in School 189 10.8 Institutional Discrimination 190 10.9 Cultural Responsiveness 191 10.10 Gender and Religion 192 11 Conclusion 193 11.1 Review of the Study 193 11.2 Review of the Findings 194 11.3 Conclusion of the Study 196 11.4 Implications of the Study 197 11.5 Critical Reflections 198 Directories 201…”

Tabla de Contenidos: “…Указания на товарные знаки, знаки обслуживания и фирменные наименования в технической документации -- 1.3.5. Требования об обеспечении заявки на участие -- 1.3.6. …”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright Page -- Contents -- Preface -- About the Companion Website -- Section A Valuation Principles -- Chapter 1 Property Rights and Property Value -- 1.1 Property rights -- 1.1.1 Tenure -- 1.1.2 Property rights in England -- 1.2 Property value -- 1.2.1 Extent of property rights -- 1.2.2 Security of property rights -- 1.2.3 Physical and geographical characteristics -- 1.3 Property valuation -- 1.3.1 Market transactions -- 1.3.2 Investment decisions -- 1.3.3 Compensation -- 1.3.4 Land and property taxation -- 1.3.5 Accounting, lending and insurance -- Note -- References -- Chapter 2 The Economics of Property Value -- 2.1 Introduction -- 2.2 Land as a resource -- 2.3 Supply and demand, markets and equilibrium price determination -- 2.4 The property market and price determination -- 2.4.1 The property market -- 2.4.2 Price determination in the land market -- 2.4.3 Price determination in the property (land and buildings) market -- 2.5 Location and land use -- 2.6 Economics of property development -- 2.6.1 Type and density of development -- 2.6.2 Timing of development -- 2.7 Non-market concepts of value -- Notes -- References -- Chapter 3 Property Markets -- 3.1 Introduction -- 3.2 Property markets -- 3.2.1 Occupier market -- 3.2.2 Investment market -- 3.2.3 Development market -- 3.3 Property markets interaction -- Note -- References -- Chapter 4 Valuation Mathematics -- 4.1 Introduction -- 4.2 The time value of money -- 4.3 Single-sum investments -- 4.4 Multi-period investments -- 4.4.1 Level annuities -- 4.4.2 From a level annuity to a growth annuity -- 4.5 Timing of receipts -- 4.6 Yields -- 4.7 Rates of return -- Notes -- References -- Chapter 5 Valuation Process and Governance -- 5.1 Valuation process -- 5.1.1 Confirm instruction and agree terms of engagement -- 5.1.2 Inspect the property…”

Tabla de Contenidos: “…Public governance in Luxembourg is highly centralised -- 1.3.5. Luxembourg's healthcare system is robust, but faces some structural inequality and risk factors -- An effective and efficient health system supported by strong infrastructure -- However, some structural weaknesses in the health system may have presented challenges in the run-up to the crisis -- Health inequalities that affect the less affluent and educated…”

Tabla de Contenidos: “…Policies to regulate alcohol marketing, such as regulation of advertising and sponsorships -- 1.3.5. Policies to enhance screening, brief interventions and treatment -- 1.3.6. …”

Tabla de Contenidos: “…-- 12.8.1 The role of the Internet -- 12.9 STAGES INVOLVED IN THE ONLINE DATING ROMANCE SCAM -- 12.10 ILLEGAL DOWNLOADS -- 12.11 CONCLUSIONS -- SUGGESTED READINGS -- Chapter 13 Online Crimes: Cyberharassment, Hate Crimes and Cyberwarfare -- 13.1 ONLINE HARASSMENT AND STALKING -- 13.2 CYBERSTALKING AND THE LAW -- 13.3 PSYCHOLOGICALLY PROFILING CRIMINALS AND VICTIMS -- 13.4 HATE CRIMES -- 13.5 CYBERWARFARE -- 13.5.1 Hacktivists -- 13.6 SURVEILLANCE AND MONITORING -- 13.7 CONCLUSIONS -- SUGGESTED READINGS -- Chapter 14 Online Crimes: Child Pornography and Paedophilia -- 14.1 THE INTERNET AND THE INCREASE IN CHILD PORNOGRAPHY -- 14.2 CHILD PORNOGRAPHY AND THE LAW -- 14.2.1 Objective and functional aspects of child pornography content -- 14.2.2 Varying legal interpretations -- 14.2.3 Child pornography and the age of consent -- 14.3 PSEUDO-PHOTOGRAPHS -- 14.4 TYPES OF CHILD PORNOGRAPHY OFFENDERS -- 14.4.1 Paraphilic disorder not otherwise specified -- 14.4.2 Collectors -- 14.5 CHARACTERISTICS OF CHILD PORNOGRAPHY OFFENDERS -- 14.6 THE RELATIONSHIP BETWEEN CHILD PORNOGRAPHY AND HANDS-ON OFFENDING -- 14.7 THEORETICAL APPROACHES TO CHILD PORNOGRAPHY OFFENDING -- 14.7.1 Courtship disorder theory -- 14.7.2 Social learning theory -- 14.7.3 Finkelhor's precondition model -- 14.7.4 The pathways model and the integrated theory of sexual offending -- 14.8 CONCLUSIONS -- SUGGESTED READINGS -- Chapter 15 Online Support and Health Care -- 15.1 THE INTERNET AND HEALTH -- 15.2 CHARACTERISTICS AND MOTIVATIONS -- 15.3 ONLINE HEALTH SEARCHING AND CYBERCHONDRIA…”

Tabla de Contenidos: “…8.5 - Healthcare fatigue regulations -- 8.6 - Conclusions -- References -- Chapter 9 - Fatigue counter measures -- 9.1 - Schedule -- 9.1.1 - Exercise -- 9.1.2 - Naps -- 9.2 - Food and drink -- 9.3 - A sleep-friendly bedroom -- 9.4 - Lighting -- 9.5 - Getting to sleep or back to sleep -- 9.6 - Conclusions -- Chapter 10 - Work shifts -- 10.1 - Shift work -- 10.2 - Work-shift schedule design -- 10.3 - Managing work-shift scheduling -- 10.4 - Evaluating work shifts using the HSE fatigue index -- 10.4.1 - Fatigue Index Factor 3-Rest periods -- 10.4.2 - Fatigue Index Factor 4-Breaks -- 10.4.3 - Fatigue Index Factor 5-Cumulative fatigue -- 10.5 - An example of Health and Safety Executive's fatigue index -- References -- Chapter 11 - Work environment -- 11.1 - Introduction -- 11.2 - Lighting -- 11.3 - Temperature -- 11.4 - Noise -- 11.5 - Vibration -- 11.6 - Color -- References -- Chapter 12 - Work task design -- 12.1 - Introduction to work design -- 12.2 - Work stress -- 12.3 - Administrative solutions for work design issues -- 12.4 - Workplace exercise -- 12.5 - Engineering solutions for work design issues -- 12.6 - Error proofing -- 12.7 - Human reliability analysis -- References -- Chapter 13 - Employee training -- 13.1 - Introduction -- 13.2 - Addressing FRMS training reluctance -- 13.3 - Training topics -- 13.4 - Ways to Engage Trainees -- 13.5 - Training for supervisors -- 13.6 - Freely available FRMS training materials -- 13.7 - FRMS training assessment -- References -- Chapter 14 - Naps -- 14.1 - Perceptions of napping -- 14.2 - Is sleepiness a problem at work? …”

Tabla de Contenidos: “…-- 12.3 Corporate Forces that Undermine Design Thinking -- 12.4 Four Pillars of Innovation for Enabling Design Thinking -- 12.5 Four Stages of Transforming to a Culture of Design Thinking -- 12.6 Conclusion -- References -- About the Authors -- Chapter 13: Knowledge Management as Intelligence Amplification for Breakthrough Innovations -- Introduction -- 13.1 Designing Amidst Uncertainty -- 13.2 Knowledge Management Tasks for Breakthrough Innovation: From Intelligence Leveraging to Intelligence Amplification -- 13.3 KM and Selected Tools for Breakthrough Innovation -- 13.4 Organizational Implications -- 13.5 Appendices -- References -- About the Authors -- Chapter 14: Strategically Embedding Design Thinking in the Firm -- Introduction -- 14.1 Role of Key Personnel -- 14.2 Organizational Practices -- 14.3 Organizational Climate and Culture -- 14.4 Embedding Design Thinking -- References -- About the Authors -- Part III: Design Thinking For Specific Contexts -- Chapter 15: Designing Services that Sing and Dance -- Introduction -- 15.1 Products, Services, and Experiences -- 15.2 How to Design for Compelling Service Experiences -- 15.3 Services that Sing and Dance -- 15.4 Designing a Service Experience Is Never Finished -- 15.5 Conclusion -- References -- About the Authors -- Chapter 16: Capturing Context through Service Design Stories -- Introduction -- 16.1 Service Design…”

Tabla de Contenidos: “…Z·olzer 4.1 Methods 101 4.1.1 Nyquist Sampling 101 4.1.2 Oversampling 103 4.1.3 Delta-sigma Modulation 104 4.2 AD Converters 117 4.2.1 Specifications 117 4.2.2 Parallel Converter 120 4.2.3 Successive Approximation 121 4.2.4 Counter Methods 123 4.2.5 Delta-sigma AD Converter 124 4.3 DA Converters 125 4.3.1 Specifications 125 4.3.2 Switched Voltage and Current Sources 127 4.3.3 Weighted Resistors and Capacitors 128 4.3.4 R-2R Resistor Networks 129 4.3.5 Delta-sigma DA Converter 130 4.4 JS Applet -- Oversampling and Quantization 131 4.5 Exercises 132 References 133 5 Audio Processing Systems 135; U. Z·olzer, D.…”

Tabla de Contenidos: “…44 2.6 Additional Terms 49 2.7 Problems 54 References 56 3 Main Elements of Risk Assessment 59 3.1 Introduction 59 3.2 Risk Assessment Process 60 3.3 Risk Assessment Report 76 3.4 Risk Assessment in Safety Legislation 81 3.5 Validity and Quality Aspects of a Risk Assessment 82 3.6 Problems 83 References 84 4 Study Object and Limitations 87 4.1 Introduction 87 4.2 Study Object 87 4.3 Operating Context 91 4.4 System Modeling and Analysis 92 4.5 Complexity 95 4.6 Problems 97 References 98 5 Risk Acceptance 99 5.1 Introduction 99 5.2 Risk Acceptance Criteria 99 5.3 Approaches to Establishing Risk Acceptance Criteria 106 5.4 Risk Acceptance Criteria for Other Assets than Humans 114 5.5 Closure 115 5.6 Problems 115 References 117 6 Measuring Risk 121 6.1 Introduction 121 6.2 Risk Metrics 121 6.3 Measuring Risk to People 123 6.4 Risk Matrices 148 6.5 Reduction in Life Expectancy 154 6.6 Choice and Use of Risk Metrics 156 6.7 Risk Metrics for Other Assets 158 6.8 Problems 159 References 163 7 Risk Management 167 7.1 Introduction 167 7.2 Scope, Context, and Criteria 170 7.3 Risk Assessment 170 7.4 Risk Treatment 171 7.5 Communication and Consultation 172 7.6 Monitoring and Review 173 7.7 Recording and Reporting 174 7.8 Stakeholders 175 7.9 Risk and Decision-Making 176 7.10 Safety Legislation 179 7.11 Problems 180 References 180 8 Accident Models 183 8.1 Introduction 183 8.2 Accident Classification 183 8.3 Accident Investigation 188 8.4 Accident Causation 188 8.5 Accident Models 190 8.6 Energy and Barrier Models 193 8.7 Sequential Accident Models 195 8.8 Epidemiological Accident Models 201 8.9 Event Causation and Sequencing Models 208 8.10 Systemic Accident Models 213 8.11 Combining Accident Models 228 8.12 Problems 229 References 230 9 Data for Risk Analysis 235 9.1 Types of Data 235 9.2 Quality and Applicability of Data 238 9.3 Data Sources 239 9.4 Expert Judgment 250 9.5 Data Dossier 254 9.6 Problems 254 References 257 10 Hazard Identification 259 10.1 Introduction 259 10.2 Checklist Methods 263 10.3 Preliminary Hazard Analysis 266 10.4 Job Safety Analysis 278 10.5 FMECA 287 10.6 HAZOP 295 10.7 STPA 306 10.8 SWIFT 316 10.9 Comparing Semiquantitative Methods 322 10.10 Master Logic Diagram 322 10.11 Change Analysis 324 10.12 Hazard Log 327 10.13 Problems 331 References 335 11 Causal and Frequency Analysis 339 11.1 Introduction 339 11.2 Cause and Effect Diagram Analysis 341 11.3 Fault Tree Analysis 344 11.4 Bayesian Networks 370 11.5 Markov Methods 384 11.6 Problems 396 References 400 12 Development of Accident Scenarios 401 12.1 Introduction 401 12.2 Event Tree Analysis 402 12.3 Event Sequence Diagrams 426 12.4 Cause-Consequence Analysis 426 12.5 Hybrid Causal Logic 428 12.6 Escalation Problems 429 12.7 Consequence Models 429 12.8 Problems 431 References 435 13 Dependent Failures and Events 437 13.1 Introduction 437 13.2 Dependent Failures and Events 437 13.3 Dependency in Accident Scenarios 439 13.4 Cascading Failures 441 13.5 Common-Cause Failures 442 13.6 Factor Model 452 13.7 Binomial Failure Rate Model 456 13.8 Multiple Greek Letter Model 457 13.9-Factor Model 459 13.10 Multiple-Factor Model 461 13.11 Problems 461 References 462 14 Barriers and Barrier Analysis 465 14.1 Introduction 465 14.2 Barriers and Barrier Classification 466 14.3 Barrier Management 474 14.4 Barrier Properties 476 14.5 Safety-Instrumented Systems 477 14.6 Hazard-Barrier Matrices 487 14.7 Safety Barrier Diagrams 488 14.8 Bow-Tie Diagrams 490 14.9 Energy Flow/Barrier Analysis 490 14.10 Layer of Protection Analysis 493 14.11 Barrier and Operational Risk Analysis 502 14.12 Systematic Identification and Evaluation of Risk Reduction Measures 512 14.13 Problems 518 References 520 15 Human Reliability Analysis 525 15.1 Introduction 525 15.2 Task Analysis 536 15.3 Human Error Identification 543 15.4 HRA Methods 552 15.5 Problems 573 References 574 16 Risk Analysis and Management for Operation 579 16.1 Introduction 579 16.2 Decisions About Risk 581 16.3 Aspects of Risk to Consider 583 16.4 Risk Indicators 585 16.5 Risk Modeling 594 16.6 Operational Risk Analysis - Updating the QRA 596 16.7 MIRMAP 598 16.8 Problems 601 References 602 17 Security Assessment 605 17.1 Introduction 605 17.2 Main Elements of Security Assessment 608 17.3 Industrial Control and Safety Systems 615 17.4 Security Assessment 617 17.5 Security Assessment Methods 625 17.6 Application Areas 626 17.7 Problems 627 References 628 18 Life Cycle Use of Risk Analysis 631 18.1 Introduction 631 18.2 Phases in the Life Cycle 631 18.3 Comments Applicable to all Phases 634 18.4 Feasibility and Concept Selection 635 18.5 Preliminary Design 637 18.6 Detailed Design and Construction 639 18.7 Operation and Maintenance 641 18.8 Major Modifications 641 18.9 Decommissioning and Removal 643 18.10 Problems 643 References 643 19 Uncertainty and Sensitivity Analysis 645 19.1 Introduction 645 19.2 Uncertainty 647 19.3 Categories of Uncertainty 648 19.4 Contributors to Uncertainty 651 19.5 Uncertainty Propagation 656 19.6 Sensitivity Analysis 661 19.7 Problems 663 References 664 20 Development and Applications of Risk Assessment 667 20.1 Introduction 667 20.2 Defense and Defense Industry 668 20.3 Nuclear Power Industry 670 20.4 Process Industry 674 20.5 Offshore Oil and Gas Industry 678 20.6 Space Industry 681 20.7 Aviation 683 20.8 Railway Transport 685 20.9 Marine Transport 686 20.10 Machinery Systems 689 20.11 Food Safety 690 20.12 Other Application Areas 692 20.13 Closure 695 References 697 Appendix A Elements of Probability Theory 701 A.1 Introduction 701 A.2 Outcomes and Events 701 A.3 Probability 706 A.4 Random Variables 710 A.5 Some Specific Distributions 718 A.6 Point and Interval Estimation 728 A.7 Bayesian Approach 732 A.8 Probability of Frequency Approach 733 References 739 Appendix B Acronyms 741 Author Index 747 Subject Index…”

Tabla de Contenidos: “…239 8.4 Bayesian Model Selection 274 8.5 SMC Samplers Estimators of Model Evidence 276 8.6 Multiple Risk Dependence Structure Model Selection: Copula Choice 277 9 Flexible Parametric Severity Models: Basics 289 9.1 Motivation for Flexible Parametric Severity Loss Models 289 9.2 Context of Flexible Heavy Tailed Loss Models in OpRisk and Insurance LDA Models 290 9.3 Empirical Analysis Justifying Heavy Tailed Loss Models in OpRisk 292 9.4 Flexible Distributions for Severity Models in OpRisk 294 9.5 Quantile Function Heavy Tailed Severity Models 294 9.6 Generalized Beta Family of Heavy Tailed Severity Models 321 9.7 Generalized Hyperbolic Families of Heavy Tailed Severity Models 328 9.8 Halphen Family of Flexible Severity Models: GIG and Hyperbolic 338 10 Modelling Dependence 353 10.1 Dependence Modelling Within and Between LDA Model Structures 353 10.2 General Notions of Dependence 358 10.3 Dependence Measures and Tail Dependence 364 10.4 Introduction to Parametric Dependence Modeling Through a Copula 380 10.5 Copula Model Families for OpRisk 387 10.6 Copula Parameter Estimation in Two Stages: Inference For the Margins 416 10.7 Multiple Risk LDA Compound Poisson Processes and Levy Copula 420 10.8 Multiple Risk LDA: Dependence Between Frequencies via Copula 425 10.9 Multiple Risk LDA: Dependence Between the k-th Event Times/Losses 425 10.10 Multiple Risk LDA: Dependence Between Aggregated Losses via Copula 430 10.11 Multiple Risk LDA: Structural Model with Common Factors 432 10.12 Multiple Risk LDA: Stochastic and Dependent Risk Profiles 434 10.13 Multiple Risk LDA: Dependence and Combining Different Data Sources 437 10.14 A Note on Negative Diversification and Dependence Modelling 445 11 Loss Aggregation 447 11.1 Introduction 447 11.2 Analytic Solution 448 11.3 Monte Carlo Method 454 11.4 Panjer Recursion 457 11.5 Panjer Extensions 462 11.6 Fast Fourier Transform 463 11.7 Closed-Form Approximation 466 11.8 Capital Charge Under Parameter Uncertainty 471 12 Scenario Analysis 477 12.1 Introduction 477 12.2 Examples of Expert Judgements 480 12.3 Pure Bayesian Approach (Estimating Prior) 482 12.4 Expert Distribution and Scenario Elicitation: learning from Bayesian methods 484 12.5 Building Models for Elicited Opinions: Heirarchical Dirichlet Models 487 12.6 Worst Case Scenario Framework 489 12.7 Stress Test Scenario Analysis 492 12.8 Bow-Tie Diagram 495 12.9 Bayesian Networks 497 12.10 Discussion 504 13 Combining Different Data Sources 507 13.1 Minimum variance principle 508 13.2 Bayesian Method to Combine Two Data Sources 510 13.3 Estimation of the Prior Using Data 528 13.4 Combining Expert Opinions with External and Internal Data 530 13.5 Combining Data Sources Using Credibility Theory 546 13.6 Nonparametric Bayesian approach via Dirichlet process 556 13.7 Combining using Dempster-Shafer structures and p-boxes 558 13.8 General Remarks 567 14 Multifactor Modelling and Regression for Loss Processes 571 14.1 Generalized Linear Model Regressions and the Exponential Family 571 14.2 Maximum Likelihood Estimation for Generalized Linear Models 573 14.3 Bayesian Generalized Linear Model Regressions and Regularization Priors 576 14.4 Bayesian Estimation and Model Selection via SMC Samplers 583 14.5 Illustrations of SMC Samplers Model Estimation and Selection for Bayesian GLM Regressions 585 14.6 Introduction to Quantile Regression Methods for OpRisk 590 14.7 Factor Modelling for Industry Data 597 14.8 Multifactor Modelling under EVT Approach 599 15 Insurance and Risk Transfer: Products and Modelling 601 15.1 Motivation for Insurance and Risk Transfer in OpRisk 602 15.2 Fundamentals on Insurance Product Structures for OpRisk 604 15.3 Single Peril Policy Products for OpRisk 609 15.4 Generic Insurance Product Structures for OpRisk 611 15.5 Closed Form LDA Models with Insurance Mitigations 621 16 Insurance and Risk Transfer: Pricing 663 16.1 Insurance Linked Securities and Catastrophe Bonds for OpRisk 664 16.2 Basics of Valuation of Insurance Linked Securities and Catastrophe Bonds for OpRisk 679 16.3 Applications of Pricing Insurance Linked Securities and Catastrophe Bonds 709 16.4 Sidecars, Multiple Peril Baskets and Umbrellas for OpRisk 726 16.5 Optimal Insurance Purchase Strategies for OpRisk Insurance via Multiple Optimal Stopping Times 733 A. …”