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Intro -- Acknowledgments -- Contents -- Notes on Contributors -- List of Figures -- List of Tables -- 1 Introduction: Luxury Yachting-a Growing but Largely Unknown Industry -- Methodology -- The Structure of the Book -- References -- Part I Perspectives on Tourism -- 2 Luxury Yachting in the Global Context of COVID-19 -- Introduction -- COVID-19 and Tourism -- Tourism and Cognate Sectors -- Events Management Specific -- Destination Specific -- Overtourism -- Key Points from the Literature Review -- Luxury Yachting -- Luxury Products and Services -- Luxury Yachting Tourism -- Luxury Yachting Tourism in a COVID-19 Context -- Conclusion -- Appendix 1: Luxury Yachting (YouTube Analysis) -- References -- 3 Understanding the Luxury Charter Yacht Value Proposition: Co-creating Customer Experiences -- Introduction -- The Attractiveness of the Luxury (Tourism) Market -- The Luxury Yacht Charter Market -- Understanding Luxury -- A Key Trend for Luxury -- Luxury Charter Yacht Tourism through the Lens of the Experience Economy -- Luxury Charter Yacht Tourism through the Lens of Personal Experience -- Implications and Conclusion -- References -- 4 Luxury Yachting versus Luxury Cruising: Differences, Similarities and Customer Choices -- Introduction -- Sea-Tourism Industry and its Segments -- COVID-19 and its Effects on the Sea-Tourism Industries -- Why People Cruise and Why People Yacht -- Luxury and Class -- Signalling Wealth -- Demographic -- Exclusivity and Access -- Privacy -- Part 2: Experiences on Offer -- Social Aspects, Entertainment and Enrichment -- Culinary Experience -- Environmental Impact -- Small-Ship Cruising: the Best of Both Worlds? -- Discussion and Predictions for the Industry -- Conclusion -- References -- Part II Perspectives on Practice -- 5 On Board a Luxury Vessel: Demystifying the Daily Operations -- Introduction -- Media and TV.

Part I – Technological Foundation: Big Data Technologies for BioIndustries: Big Data Technologies in DataBio -- Standards and EO data platforms -- Data Types: Sensor Data -- Remote sensing -- Crowdsourced Data -- Genomics Data -- Data Integration and Modelling: Linked Data and Metadata -- Linked Data usages in Databio -- Data Pipelines: Modeling and Evaluation of models -- Analytics and visualization: Data Analytics and Machine Learning -- Real-time Data Processing -- Privacy Preserving Analytics, Processing and Data Management -- Data Visualisation -- Part II – Applications in Agriculture: Introduction Smart Agriculture -- Smart farming for sustainable agricultural production -- Genomics Biomass pilots -- Yield Prediction in Sorghum (Sorghum bicolor (L.) Moench) and Cultivated Potato (Solanum tuberosum L.) -- Delineation of management zones using satellite imageries -- Farm Weather Insurance Assessment -- Copernicus Data and CAP Subsidies Control -- Future vision, Summary and Outlook -- Part III Applications in Forestry: Introduction – state of the art of technology and market potential for Big Data in forestry -- Finnish Forest Data based Metsään.fi-services -- Forest variable estimation and change monitoring solutions based on remote sensing Big Data -- Monitoring Forest Health: Big Data applied to diseases and plagues control -- Forest damage monitoring for the bark beetle -- Conclusions and Outlook - Summary of Big Data in forestry -- Part IV Applications in Fishery: The potential of Big data for improving pelagic fisheries sustainability -- Tuna fisheries fuel consumption reduction and safer operations -- Sustainable and added value small pelagic fisheries pilots -- Conclusion and future vision -- Part V – Summary and Outlook: Summary of experiences of the potential and Exploitation of Big Data and AI in Bioeconomy -- Glossary - Terminology, acronyms, abbreviations.

Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- Preface -- Acknowledgments -- Editors -- Contributors -- Chapter 1 Big Data for Smart Education -- 1.1 Introduction -- 1.1.1 Big Data (BD) -- 1.1.1.1 Big Data Analytics (BDA) -- 1.1.2 Big Data Architecture Aimed at Learning Analytics -- 1.1.3 Role of Big Data in Smart Education -- 1.2 Fruition of Smart Learning -- 1.2.1 Insight of Smart Learning -- 1.2.2 Smart Learning Environment -- 1.2.3 Denotation of Smart in Smart Learning -- 1.2.4 Smart Learner -- 1.3 Framework of Smart Education -- 1.3.1 Smart Pedagogy -- 1.3.2 Smart Learning Environments -- 1.3.3 Technical Architecture of a Smart Education Environment -- 1.3.4 3-Tier Architecture of Smart Computing -- 1.3.5 Key Function of Smart Computing -- 1.4 Big Data Subsequent Revolution in Education -- 1.4.1 Big Data is Making Education Smarter -- 1.5 Technique Educators Are Improving in Learning Process -- 1.5.1 Measure, Monitor, and Respond -- 1.5.2 Epitomize Learning Experience -- 1.5.3 Designing New Courses -- 1.6 Big Data Components in Smart Education -- 1.7 Big Data Tools in Smart Education -- 1.8 Big Data Applications for Smart Education -- 1.8.1 Higher Education Analysis -- 1.8.2 Student Engagement -- 1.8.3 Bookstore Effectiveness -- 1.9 How BD and Education Could Work Together to Benefit Student Success -- 1.9.1 Customized Curricula Aimed at Improved Learning Outcome -- 1.9.2 Big Data to Expand Student's Performance -- 1.9.3 New Paths of Learning Potentials -- 1.10 Big Data Analytics Consequensces in Advanced Education -- 1.11 Opportunities along with Challenges of Big Data in Smart Education -- 1.12 Conclusion: Challenge of Simplifying Smart Education -- References -- Chapter 2 Big Data Analytics Using R for Offline Voltage Prediction in an Electric Power System -- 2.1 Introduction.

What does it mean to personalise cancer medicine? Personalised cancer medicine explores this question by foregrounding the experiences of patients, carers and practitioners in the UK. Drawing on an ethnographic study of cancer research and care, we trace patients', carers' and practitioners' efforts to access and interpret novel genomic tests, information and treatments as they craft personal and collective futures. Exploring a series of case studies of diagnostic tests, research and experimental therapies, the book charts the different kinds of care and work involved in efforts to personalise cancer medicine and the ways in which benefits and opportunities are unevenly realised and distributed. Investigating these experiences against a backdrop of policy and professional accounts of the 'big' future of personalised healthcare, the authors show how hopes invested and care realised via personalised cancer medicine are multifaceted, contingent and, at times, frustrated in the everyday complexities of living and working with cancer. Tracing the difficult and painstaking work involved in making sense of novel data, results and predictions, we show the different futures crafted across policy, practice and personal accounts. This is the only book to investigate in depth how personalised cancer medicine is reshaping the futures of cancer patients, carers and professionals in uneven and partial ways. Applying a feminist lens that focuses on work and care, inclusions and exclusions, we explore the new kinds of expertise, relationships and collectives involved making personalised cancer medicine work in practice and the inconsistent ways their work is recognised and valued in the process.

Intro -- Foreword -- Preface -- Contents -- Chapter 1: Introduction -- 1.1 Organization of this Book -- 1.2 How to Read This Book -- 1.3 Summary Statistics About Boko Haram's Violent Activities -- 1.4 Summary of Significant Temporal Probabilistic (TP) Rules -- 1.5 Summary of Policy Recommendations -- 1.6 The Most Feasible Policy Recommended to Combat Boko Haram -- 1.7 Conclusion -- References -- Chapter 2: History of Boko Haram -- 2.1 Emergence and History of Boko Haram -- 2.1.1 Boko Haram's Beginnings -- 2.1.2 The Boko Haram Uprising -- 2.2 Boko Haram -- 2.2.1 A Decade of Terror -- 2.2.2 Timeline of Events -- 2.3 Organizational Overview -- 2.3.1 Structure and Finance -- 2.3.2 Areas of Operation -- 2.3.3 Membership -- 2.3.4 Tactics -- 2.3.5 Training -- 2.4 Relationships with Other Terrorist Groups -- 2.4.1 al-Qaeda -- 2.4.2 ISIS -- References -- Chapter 3: Temporal Probabilistic Rules and Policy Computation Algorithms -- 3.1 Boko Haram Data -- 3.2 Temporal Probabilistic Rules -- 3.3 Policy Computation Algorithm -- 3.4 Sample Predictions -- 3.5 Conclusion -- References -- Chapter 4: Sexual Violence -- 4.1 Sexual Violence in the Absence of Seeking Religious Rule -- 4.2 Sexual Violence in Relation to Imprisoned and Foreign Members -- 4.3 Occurrence of Sexual Violence in Relation to Imprisoned, Foreign Members and Other Variables -- 4.4 Occurrence of Sexual Violence when Members of BH Are Imprisoned, and BH's Communications Did Not Address the Government -- 4.5 Lack of Sexual Violence when Boko Haram's Offices Are Not Shut Down -- 4.6 Lack of Sexual Violence when Boko Haram Is Not Using Child Soldiers -- 4.7 Lack of Sexual Violence when Military Aid Has Been Suspended or Denied and BH Is Not Forcefully Recruiting People.

Intro -- Preface -- Organization -- Contents -- Software Security -- Analysis of the Impact of Permissions on the Vulnerability of Mobile Applications -- 1 Introduction -- 2 Context -- 3 Related Works -- 4 Analytical Methodology -- 4.1 Characteristics of the Analyzed Apps -- 4.2 Analysis Tools -- 5 Results of the Analysis -- 5.1 Impacts of Permissions -- 5.2 Results -- 5.3 Discussion of the Results -- 5.4 Proposals for Solutions -- 6 Conclusion and Future Work -- References -- On the Relevance of Using Multi-layered Security in the Opportunistic Internet-of-Things -- 1 Introduction -- 1.1 Related Work -- 1.2 Contributions and Outline -- 2 The Multi-layered Security Model -- 2.1 Data Integrity and Authenticity -- 2.2 Data Confidentiality -- 2.3 The Proposed Security Solution -- 2.4 The Key Exchange Algorithm -- 3 Performance Evaluation -- 3.1 Opportunistic Contacts -- 3.2 Impact of Security on Memory Usage -- 3.3 Impact of Security on Battery Usage -- 3.4 Impact of Security on Processing Time -- 3.5 Impact of Security on Hash Function Overheads -- 4 Conclusion and Future Work -- References -- Analysis of Software Vulnerabilities Using Machine Learning Techniques -- Abstract -- 1 Introduction -- 2 Methods for Analyzing Software Vulnerabilities -- 3 Techniques of Machine Learning and Data Mining -- 4 Related Work on the Use of Machine Learning -- 4.1 Prediction Vulnerabilities Based on Software Settings -- 4.2 Note -- 5 Proposed Approach -- 5.1 Methodology Approach -- 5.1.1 Present Rules that Must Comply with an Ethical Hacker -- 5.1.2 Building a Vulnerability Database from 2010 to 2018 -- 5.1.3 Preprocessing and Data Preparation -- 5.1.4 Management Unbalanced Data -- 5.1.5 Building Models -- 5.2 Results and Discussion -- 6 Conclusion -- References.

Intro -- Preface -- Organization -- Engaging Users: How to Make Decision Support Systems Relevant to Real Environmental Decision Makers (Abstract of Invited Talk) -- Contents -- Unsupervised Learning of Robust Representations for Change Detection on Sentinel-2 Earth Observation Images -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Change Detection Service -- 3.2 Framework -- 3.3 Approach and Implementation -- 4 Experiments -- 4.1 Data Description -- 4.2 Settings -- 4.3 Results -- 5 Conclusion -- Acknowledgements -- References -- Dietary Intake Assessment: From Traditional Paper-Pencil Questionnaires to Technology-Based Tools -- Abstract -- 1 Assessing Dietary Intake: Why? -- 2 Assessing Dietary Intake: How? -- 2.1 Methods of Recall -- 2.2 Methods of Real-Time Monitoring -- 2.3 Nutrient and Food Calculations -- 3 True vs. Measured Diet: Sources of Measurement Error -- 4 Assessing Dietary Intake: Which Method to Use? -- 5 Innovations -- 5.1 Compl-eatTM -- 5.2 Traqq -- 5.3 The Dutch FFQ-TOOLTM -- 5.4 Eetscore -- 5.5 Sensor-Based Wearable Dietary Assessment Methods -- 5.6 Biomarkers -- 6 Conclusion -- References -- Computational Infrastructure of SoilGrids 2.0 -- 1 Introduction -- 2 General Framework -- 3 HPC Infrastructure -- 4 Parallelisation of Global Scale Geo-Spatial Computations -- 5 Resources Management with (sub-)tiling -- 6 Assemblage of Prediction Files -- 7 Reproducibility and Portability -- References -- Defining and Classifying Infrastructural Contestation: Towards a Synergy Between Anthropology and Data Science -- Abstract -- 1 Introduction -- 2 The Case Study and Beyond -- 3 Mapping Infrastructural Contestation -- 3.1 Method -- 3.2 Sources -- 4 Modes of Infrastructural Contestation -- 4.1 Contestation of Labour and Working Conditions -- 4.2 Contestation for the Right to Access.

Intro -- Preface -- Organization -- Contents -- Feeding and Securing Healthy African and Asian Futures -- Integration of Indigenous Knowledge, Climate Data, Satellite Imagery and Machine Learning to Optimize Cropping Decisions by Small-Scale Farmers. a Case Study of uMgungundlovu District Municipality, South Africa -- 1 Introduction -- 2 Literature Review -- 2.1 Remote Sensing Technology -- 2.2 Satellite Image Segmentation or Classification -- 2.3 Vegetation Indices -- 2.4 Machine Learning (Time Series Analysis) -- 2.5 Indigenous Knowledge -- 3 Methodology -- 4 Implementation -- 4.1 Determine the Season Onset -- 4.2 Crop Monitoring -- 4.3 Crop Health Prediction -- 5 Model Evaluation and Conclusion -- References -- A Multi-level Smart Monitoring System by Combining an E-Nose and Image Processing for Early Detection of FAW Pest in Agriculture -- 1 Introduction -- 2 Current Struggle Methods Against Fall Armyworm -- 2.1 Biological or Biotechnological Approaches -- 2.2 Behavioral Approaches -- 3 Computer Tools Based Approaches for Struggle FAW -- 3.1 FAMEWS: FAW Monitoring and Early Warning System -- 3.2 Nuru -- 4 A Multilevel Architecture of a Smart Monitoring System for Early Detection of FAW -- 4.1 Level of Early Detection of FAW -- 4.2 A Multilevel Monitoring System for Early Detection of FAW -- 5 Experiments and Results -- 6 Conclusion -- References -- Indigenous and Scientific Knowledge of Soil Regulation Services, and Factors Effecting Decision-Making in Agricultural Landscapes in the Terai Plains of Nepal -- 1 Introduction -- 1.1 A Subsection Sample -- 2 Materials and Methods -- 2.1 Study Area -- 2.2 Cropping Systems -- 2.3 Soil Parameters -- 2.4 Perceived Factors Impacting Soil Quality Decline -- 2.5 Strategies to Increase Soil Fertility, and Factors Determining Farmers' Decision-Making -- 2.6 Policy Recommendations -- 3 Results.

Intro -- Acknowledgements -- Contents -- Contributors -- 1 Accounting for the Growth of Government -- 1.1 Introduction -- 1.2 The Basic Interest Group Model -- 1.2.1 Regulations vs Taxes and Subsidies -- 1.2.2 Equilibrium Mix of Regulations and Cash Transfers -- 1.2.3 Causes of the Growth of Government Budgets -- 1.2.4 Predictions for the Composition of Spending, Taxes, and Regulation -- 1.3 Interest Group Approach Compared with Other Models of Public Decisions -- 1.3.1 Efficiency Maximization -- 1.3.2 Social Redistribution -- 1.3.3 Merit Goods -- 1.4 Explanations from the Literature as Special Cases of Our Model -- 1.4.1 Better Technologies for Tax Collection -- 1.4.2 Changes in Military Spending -- 1.4.3 Changing Political Influence -- 1.4.4 ``Corporatism'' -- 1.4.5 Slow Productivity Growth in the Public Sector -- 1.4.6 Marxist Theories -- 1.5 Evidence from the US -- 1.5.1 Spending over Time -- 1.5.2 Regulation over Time: Five Indicators -- 1.5.3 Regulation over Time: Two Refinements of FR Pages -- 1.5.4 Regulation over Time: How Well Do the Seven Indicators Track Regulatory Costs? -- 1.5.5 Defense vs. Nondefense Spending -- 1.5.6 Elderly vs. Nonelderly -- 1.5.6.1 Trends in Relative Spending and Taxes -- 1.5.6.2 Trends in Relative Regulation -- 1.5.6.3 Interpreting the Trends -- 1.6 Summary and Conclusions -- Appendix -- Data Sources -- Accounting for Other Sources of Government Growth -- Tax-Regulation Substitution Across Countries -- References -- 2 Government Growth -- 2.1 Introduction -- 2.2 The Puzzle -- 2.3 Conclusion -- References -- 3 Does Technology Drive the Growth of Government? -- 3.1 Introduction -- 3.2 Extant Hypothesis -- 3.3 The Role of Technology -- 3.3.1 Which Technology? -- 3.3.1.1 Transportation -- 3.3.1.2 Telegraphs and Telephones -- 3.3.1.3 Industrial Capital and Mass Production as Cash Cows -- 3.3.1.4 Radio and Television.

Intro -- Foreword -- Contents -- Contributors -- Chapter 1: Introduction: Consequences of Global Warming to Planetary and Human Health -- Introduction to Greenhouse Gases and Temperature -- Consequences of Climate Change on the Biosphere -- Loss of Arctic Ice -- Loss of Antarctic Ice -- Loss of Glaciers -- Risks to Forests -- Mean Sea-Level Rise -- Bleaching of Coral Reefs -- Threat to Biodiversity -- Consequences for Human Health -- Heat waves -- Air Pollution -- Vector-Borne Diseases -- Implications for Social Stability -- Drought, Forest Fires, Food Insecurity, and Migration -- Hurricanes and Extreme Weather Events -- Insurability for Extreme Events -- United States Military -- Efforts at Mitigation and Adaptation -- Policy: Global -- Policy: The United States -- Mitigation: Renewables -- Mitigation: Cap-and-Trade and Carbon Tax -- Efforts to Combat Climate Change by Cities and States -- Conclusion -- References -- Chapter 2: Climate Variability and Change Data and Information for Global Public Health -- So What Is Climate Data, How Do I Know What I Need, How Do I Get It, and How Do I Use It? -- Data Culture -- Defining Terms -- Early Warning, Prediction, Forecast, Outlook, Projection, Scenario -- How to Think About Climate Data-Or When to Use What? -- Scale -- Source -- Products -- Reanalysis -- Projections -- Assessing Climate Data Partners -- Conclusion -- Chapter 3: Climate Change: Updates on Recent Global and United States Temperature Anomalies and Impacts to Water, Forests, and Environmental Health -- Recent Changes to Global and United States Surface Temperatures -- Climate Change Impacts on Water Resources and Water Quality -- Climate Change Impacts on Watershed Health -- Climate Change Impacts on Forests and Forest Health -- Forest Insects -- Forest Diseases -- Wildfire -- Invasive Species -- References.

Intro -- Title Page -- Copyright Page -- Contents -- About the Editors -- About the Contributors -- Foreword -- Acknowledgements -- Part I Introduction -- Chapter 1 An Overview of Violent Behaviour from Aggression to Homicide: Theory, Research, and Practice -- Introduction and Overview -- Definitions of Violence and Aggression -- The Magnitude and Scope of Violence in Modern Society as Illustrated by Homicide -- Theories of Aggression and Violence -- Assessment and Prediction of Violent Behaviour -- A Collective Response: Three Tiers of Violence Crime Prevention -- Future Directions: Global and Local -- References -- Chapter 2 What Do We Know About Violent Offending Behaviour? -- Overview -- Rates of Occurrence -- Explanations and Theory Related to Violent Behaviour -- Types of Violence -- Associated Contributors - Person‐Based -- Associated Contributors - Contextual Factors -- Summary -- References -- Chapter 3 What Works with Violent Offenders: A Response to 'Nothing Works' -- Introduction -- Reducing Aggression and Violence -- Conclusion -- References -- Part II What Works in Violence Risk Assessment -- Chapter 4 From Predicting Dangerousness to Assessing and Managing Risk for Violence: A Journey Across Four Generations -- Introduction -- Foundation Issues -- Approaches to Assessing Risk for Violence -- Violence Risk Schemes -- Summary and Conclusion -- References -- Chapter 5 Violence Risk Formation: The Move Towards Collaboratively Produced, Strengths-Based Safety Planning -- Introduction -- The Relationship Between Formulations and Actuarial Measures of Risk -- Top Down and Bottom Up Approaches to Looking at the Data -- Making Logical Inferences Based on the Nomothetic Literature About the Individual Case -- The Turn Towards Strengths-Based Practice -- Formulation as Causal Modelling Linking Evidence to Practice -- Sequential Analysis.

Intro -- The Innovation Ultimatum -- Contents -- Foreword: Don't Fear the Future . . . Prepare for It -- Introduction: To Survive, Every Company Must Become a Tech Company -- The Innovation Ultimatum -- Automation and Augmentation -- Product, Service, and Business-Model Innovation -- The Innovator's Palette -- Six Technologies Intimately Connect the Digital and Physical Worlds -- Winners Will Wield and Combine These Technologies Like Artists Use Color -- Expect More Change in the Next 10 Years Than the Last 40 -- Should I Be Afraid or Excited? -- Getting the Most Out of This Book -- Don't Panic -- Don't Wait -- Get Help -- Part I: Six Technologies That Will Reshape Business in the Next Decade -- Chapter 1: Artificial Intelligence -- What Is It and Why Is It Important? -- Electricity, Digital Computers, and Artificial Intelligence -- The Next Era of Computing: Traditional Digital versus Artificial Intelligence -- A 1950s Concept and 1980s Algorithms Meet Modern Computing Horsepower -- What Can You Do with It? -- Machine Vision: Computers Open Their Eyes -- Natural Language Processing and Voice Platforms -- Exploration and Discovery -- Better-Informed Decision-Making -- Predicting the Future -- Seeing the World through a New Lens with Super Sensors -- Solving Complex Problems by Learning from Experience -- Creating and Co-Creating Content -- Future Uses of AI -- How AI Works -- Neural Networks, Training, and Models -- Example: A Radiology AI -- Pattern Recognition -- Beyond Deep Learning: The Future of Artificial Intelligence -- Stagnation or Golden Age? -- Narrow, General, and Super Intelligence -- Artificial Narrow Intelligence (ANI) -- Artificial General Intelligence (AGI) -- Artificial Super Intelligence (ASI) -- Strategies to Get You Started -- Make Predictions about Customers, Operations, and Trends.

Front Cover -- The Beginnings of Behavioral Economics: Katona, Simon, and Leibenstein's X-Efficiency Theory -- Copyright -- Dedication -- Contents -- Acknowledgments -- 1 Introduction -- I What this book is about and what it is not about -- II Two beginnings, one door -- III Leibenstein's writings, 1950-66 -- Bandwagon, Snob, and Veblen Effects in the Theory of Consumer Demand (1950) -- A Theory of Economic Demographic Development (1954) -- Economic Backwardness and Economic Growth (1957), and -- Investment Criteria, Productivity, and Economic Development (1955) -- Economic Theory and Organizational Analysis (1960) -- IV Empirical studies on X-efficiency -- 2 Two beginnings -- I The door -- Two beginnings -- The door -- The (sophisticated) anthropomorphic sin -- 1994. A momentous year in the history of behavioral economics? -- Even the best of us have been rejected -- II Homo economicus -- The pre-eminence of homo-economicus in economics -- III Behavioral economics. What is it? -- Behavioral economics is what behavioral economists do -- Rexford Tugwell. Forerunner of behavioral economics -- IV Final comments on this chapter and looking ahead to Chapter 3 -- 3 The "Big 3." Simon, Katona, Leibenstein -- I Herbert A. Simon -- Simplicity is often the best approach -- The parable of the ant -- Bounded rationality and satisficing -- II George Katona -- Katona's beginnings -- Why economics and psychology drifted apart -- ECONS vs HUMANS -- Characteristics of behavioral economics/psychological economics -- Katona takes on homo economicus, and discusses framing -- Rationality -- Framing -- Katona's behavioral macro -- Consumer behavior -- The law of large numbers -- Intervening variables. Motives, attitudes, and expectations -- Prediction and understanding -- III Harvey Leibenstein -- Atoms and molecules. Individuals vs firms and households.

Cover -- Half Title Page -- Title Page -- Copyright Page -- About the Editor -- Table of Contents -- Glossary -- List of Figures -- List of Tables -- List of Equations -- List of Abbreviations -- Preface -- Chapter 1 Introduction to Forest Soils -- Introduction -- 1.1. The Background and Definition of Forest Soils -- 1.2. History of Forest Soil Science -- 1.3. Geography of Forest Soils -- References -- Chapter 2 Composition of Forest Soils -- Introduction -- 2.1. Soil Profile/Horizon -- 2.2. Formation of Soil -- 2.3. Physical Properties of Soil -- 2.4. Soil Erosion In Forest Soils -- 2.5. Soil-Water Movement -- References -- Chapter 3 Forest Soils and Its Dynamics -- Introduction -- 3.1. Components of Forest Soils -- 3.2. Nutrient Cycling Dynamics -- 3.3. Decomposition, Its Regulation, And Control -- 3.4. Forest Soils Productivity -- 3.5. Enhancement Of Forest Soils Productivity -- References -- Chapter 4 Forest Soils Biology -- Introduction -- 4.1. Forest And Root System -- 4.2. Root System -- 4.3. Forest Soils Faunal Components -- References -- Chapter 5 Chemical Properties of Forest Soils -- Introduction -- 5.1. Soil Exchange -- 5.2. Soil Ph In Forest Soils -- 5.3. Precipitation And Sorption -- 5.4. Interaction Of Nutrients, Soil Organic Matter and Microbial Community -- 5.5. Oxidation And Reduction Reaction -- References -- Chapter 6 Forest Soils and Mapping -- Introduction -- 6.1. Soil Classification -- 6.2. Soil Survey Types and Categories -- 6.3. Mapping And Soil Data Illustration -- 6.4. Soil Geography and Development In Mapping -- 6.5. Gis And Soil Analysis -- 6.6. Soil Prediction Using Kriging Interpolation -- 6.7. Forest Soil Sampling -- References -- Chapter 7 Forest Soils Management -- Introduction -- 7.1. Current State of Rainforests -- 7.2. Forest Soil And Water Protection -- 7.3. Understanding Risk Management

Intro -- Editors' Preface -- Contents -- Contributors -- Introduction: Some Personal Reflections - Priest -- ORIGINAL MATERIAL -- First Edition Front Matter [Abridged] -- Acknowledgements -- Exploring Meinong's jungle and beyond. II. Existence and identity when times change -- Existence is existence now -- Enlarging on some of the chronological inadequacies of classical logic and its metaphysical basis, the Reference Theory -- Change and identity over time -- Heracleitean and Parmenidean problems for chronological logics -- Developing a nonmetrical neutral chronological logic -- Further corollaries of noneism for the philosophy of time -- Reality questions: the reality of time? -- Against the subjectivity of time: initial points -- The future is not real -- Alleged relativistic difficulties about the present time and as to tense -- Time, change and alternative worlds -- Limitations on statements about the future, especially as to naming objects and making predictions? -- Fatalism and alternative futures -- On what there isn't -- Further objections to the theory of items disarmed -- The theory of objects is inconsistent, absurd -- Carnap's objections, and Hinton's case against Meinongianism -- The attack on nonexistent objects, and alleged puzzles about what such objects could be -- The accusation of platonism -- being, types of existence, and the condition on existence -- Subsistence objections -- The defects of nonentities -- the problem of relations, and indeterminacy -- Nonentities are mere shadows, facades, verbal simulacra -- appeal to the formal mode -- Tooley's objection that the claim that there are nonexistent objects answering to objects of thought leads to contradictions -- Williams' argument that fatal difficulties beset Meinongian pure objects -- Further objections based on quantification and on features of truth-definitions.