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  1. 6861

    Anything Goes : Charleston Conference Proceedings 2010 /

    Published 2011
    Table of Contents: “…. -- Issues in determining cost for cost per use calculations / Virginia Kay "Ginger" Williams. -- Core resources on time series analysis for academic libraries: a selected, annotated bibliography / Sarah H. …”
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  2. 6862

    Molecular plant immunity

    Published 2013
    Table of Contents: “…Martin 9.1 Introduction 9.2 PAMP-triggered immunity in the Solanaceae 9.3 Pseudomonas syringae pv. tomato virulence mechanisms 9.4 Effector-triggered immunity in the Solanaceae 9.5 Races of Pseudomonas syringae pv. tomato 9.6 ETI is involved in non-host resistance to Pseudomonas syringae pathovars 9.7 ETI signaling pathways in the Solanaceae 9.8 Conclusions and future prospects 10 The Cladosporium fulvum-tomato pathosystem: fungal infection strategy and plant responses Bilal Ökmen and Pierre J.G.M. de Wit 10.1 Introduction 10.2 History of the interaction between Cladosporium fulvum and tomato 10.3 Compatible and incompatible interactions 10.4 Tomato Cf resistance proteins 10.5 Cf-mediated downstream signaling 10.6 Effectors in other fungi with similar infection strategies 10.7 Conclusion 11 The cucumber mosaic virus-Arabidopsis interaction: Interplay of virulence strategies and plant responses Jack H. …”
    An electronic book accessible through the World Wide Web; click to view
    Electronic eBook
  3. 6863

    Molecular plant immunity

    Published 2013
    Table of Contents: “…Martin 9.1 Introduction 9.2 PAMP-triggered immunity in the Solanaceae 9.3 Pseudomonas syringae pv. tomato virulence mechanisms 9.4 Effector-triggered immunity in the Solanaceae 9.5 Races of Pseudomonas syringae pv. tomato 9.6 ETI is involved in non-host resistance to Pseudomonas syringae pathovars 9.7 ETI signaling pathways in the Solanaceae 9.8 Conclusions and future prospects 10 The Cladosporium fulvum-tomato pathosystem: fungal infection strategy and plant responses Bilal Ökmen and Pierre J.G.M. de Wit 10.1 Introduction 10.2 History of the interaction between Cladosporium fulvum and tomato 10.3 Compatible and incompatible interactions 10.4 Tomato Cf resistance proteins 10.5 Cf-mediated downstream signaling 10.6 Effectors in other fungi with similar infection strategies 10.7 Conclusion 11 The cucumber mosaic virus-Arabidopsis interaction: Interplay of virulence strategies and plant responses Jack H. …”
    An electronic book accessible through the World Wide Web; click to view
    Electronic eBook
  4. 6864
  5. 6865
  6. 6866

    Saigon a history / by Vo, Nghia M., 1947-

    Published 2011
    An electronic book accessible through the World Wide Web; click to view
    Electronic eBook
  7. 6867

    Saigon a history / by Vo, Nghia M., 1947-

    Published 2011
    An electronic book accessible through the World Wide Web; click to view
    Electronic eBook
  8. 6868

    Multicriteria decision aid and artificial intelligence links, theory and applications / by Doumpos, Michael

    Published 2013
    Table of Contents: “…Machine generated contents note: List of Contributors Preface Part One The Contributions of Intelligent Techniques in Multicriteria Decision Aiding 1 Computational Intelligence Techniques for Multicriteria Decision Aiding: An Overview 1.1 Introduction 1.2 The MCDA Paradigm 1.2.1 Modeling Process 1.2.2 Methodological Approaches 1.3 Computational Intelligence in MCDA 1.3.1 Statistical Learning and Data Mining 1.3.2 Fuzzy Modeling 1.3.3 Metaheuristics 1.4 Conclusions References 2 Intelligent Decision Support Systems 2.1 Introduction 2.2 Fundamentals of Human Decision Making 2.3 Decision Support System 2.4 Intelligent Decision Support Systems 2.4.1 Artificial Neural Networks for Intelligent Decision Support 2.4.2 Fuzzy Logic for Intelligent Decision Support 2.4.3 Expert Systems for Intelligent Decision Support 2.4.4 Evolutionary Computing for Intelligent Decision Support 2.4.5 Intelligent Agents for Intelligent Decision Support 2.5 Evaluating Intelligent Decision Support Systems 2.5.1 Determining Evaluation Criteria 2.5.2 Multi-Criteria Model for IDSS Assessment 2.6 Summary and Future Trends References Part Two Intelligent Technologies for Decision Support and Preference Modeling 3 Designing Distributed Multi-Criteria Decision Support Systems for Complex and Uncertain Situations 3.1 Introduction 3.2 Example Applications 3.3 Key Challenges 3.4 Making Trade-offs: Multi-criteria Decision Analysis 3.4.1 Multi-attribute Decision Support 3.4.2 Making Trade-offs Under Uncertainty 3.5 Exploring the Future: Scenario-based Reasoning 3.6 Making Robust Decisions: Combining MCDA and SBR 3.6.1 Decisions Under Uncertainty: The Concept of Robustness 3.6.2 Combining Scenarios and MCDA 3.6.3 Collecting, Sharing and Processing Information: A Distributed Approach 3.6.4 Keeping Track of Future Developments: Constructing Comparable Scenarios 3.6.5 Respecting Constraints and Requirements: Scenario Management 3.6.6 Assisting Evaluation: Assessing Large Numbers of Scenarios 3.7 Discussion 3.8 Conclusion References 4 Preference Representation with Ontologies 4.1 Introduction 4.1.1 Structure of the Chapter 4.2 Ontology-based Preference Models 4.3 Maintaining the User's Profile up to Date 4.4 Decision Making Methods Exploiting the Preference Information Stored in Ontologies 4.4.1 Recommendation Based on Aggregation 4.4.2 Recommendation Based on Similarities 4.4.3 Recommendation Based on Rules 4.5 Discussion and Open Questions References Part Three Decision Models 5 Neural Networks in Multicriteria Decision Support 5.1 Introduction 5.2 Basic Concepts of Neural Networks 5.2.1 Neural Networks for Intelligent Decision Support 5.3 Basics in Multicriteria Decision Aid 5.3.1 MCDM Problems 5.3.2 Solutions of MCDM Problems 5.4 Neural Networks and Multicriteria Decision Support 5.4.1 Review of Neural Network Applications to MCDM Problems 5.4.2 Discussion 5.5 Summary and Conclusions References 6 Rule-Based Approach to Multicriteria Ranking 6.1 Introduction 6.2 Problem Setting 6.3 Pairwise Comparison Table (PCT) 6.4 Rough Approximation of Outranking and Non-outranking Relations 6.5 Induction and Application of Decision Rules 6.6 Exploitation of Preference Graphs 6.7 Illustrative Example 6.8 Summary and Conclusions References 7 About the Application of Evidence Theory in MultiCriteria Decision Aid 7.1 Introduction 7.2 Evidence Theory: Some Concepts 7.2.1 Knowledge Model 7.2.2 Combination 7.2.3 Decision Making 7.3 New Concepts in Evidence Theory for MCDA 7.3.1 First Belief Dominance 7.3.2 RBBD Concept 7.4 Multicriteria Methods modeled by Evidence Theory 7.4.1 Evidential Reasoning Approach 7.4.2 DS/AHP 7.4.3 DISSET 7.4.4 A Choice Model Inspired by ELECTRE I 7.4.5 A Ranking Model Inspired by Xu et al.'…”
    An electronic book accessible through the World Wide Web; click to view
    Electronic eBook
  9. 6869

    Multicriteria decision aid and artificial intelligence links, theory and applications / by Doumpos, Michael

    Published 2013
    Table of Contents: “…Machine generated contents note: List of Contributors Preface Part One The Contributions of Intelligent Techniques in Multicriteria Decision Aiding 1 Computational Intelligence Techniques for Multicriteria Decision Aiding: An Overview 1.1 Introduction 1.2 The MCDA Paradigm 1.2.1 Modeling Process 1.2.2 Methodological Approaches 1.3 Computational Intelligence in MCDA 1.3.1 Statistical Learning and Data Mining 1.3.2 Fuzzy Modeling 1.3.3 Metaheuristics 1.4 Conclusions References 2 Intelligent Decision Support Systems 2.1 Introduction 2.2 Fundamentals of Human Decision Making 2.3 Decision Support System 2.4 Intelligent Decision Support Systems 2.4.1 Artificial Neural Networks for Intelligent Decision Support 2.4.2 Fuzzy Logic for Intelligent Decision Support 2.4.3 Expert Systems for Intelligent Decision Support 2.4.4 Evolutionary Computing for Intelligent Decision Support 2.4.5 Intelligent Agents for Intelligent Decision Support 2.5 Evaluating Intelligent Decision Support Systems 2.5.1 Determining Evaluation Criteria 2.5.2 Multi-Criteria Model for IDSS Assessment 2.6 Summary and Future Trends References Part Two Intelligent Technologies for Decision Support and Preference Modeling 3 Designing Distributed Multi-Criteria Decision Support Systems for Complex and Uncertain Situations 3.1 Introduction 3.2 Example Applications 3.3 Key Challenges 3.4 Making Trade-offs: Multi-criteria Decision Analysis 3.4.1 Multi-attribute Decision Support 3.4.2 Making Trade-offs Under Uncertainty 3.5 Exploring the Future: Scenario-based Reasoning 3.6 Making Robust Decisions: Combining MCDA and SBR 3.6.1 Decisions Under Uncertainty: The Concept of Robustness 3.6.2 Combining Scenarios and MCDA 3.6.3 Collecting, Sharing and Processing Information: A Distributed Approach 3.6.4 Keeping Track of Future Developments: Constructing Comparable Scenarios 3.6.5 Respecting Constraints and Requirements: Scenario Management 3.6.6 Assisting Evaluation: Assessing Large Numbers of Scenarios 3.7 Discussion 3.8 Conclusion References 4 Preference Representation with Ontologies 4.1 Introduction 4.1.1 Structure of the Chapter 4.2 Ontology-based Preference Models 4.3 Maintaining the User's Profile up to Date 4.4 Decision Making Methods Exploiting the Preference Information Stored in Ontologies 4.4.1 Recommendation Based on Aggregation 4.4.2 Recommendation Based on Similarities 4.4.3 Recommendation Based on Rules 4.5 Discussion and Open Questions References Part Three Decision Models 5 Neural Networks in Multicriteria Decision Support 5.1 Introduction 5.2 Basic Concepts of Neural Networks 5.2.1 Neural Networks for Intelligent Decision Support 5.3 Basics in Multicriteria Decision Aid 5.3.1 MCDM Problems 5.3.2 Solutions of MCDM Problems 5.4 Neural Networks and Multicriteria Decision Support 5.4.1 Review of Neural Network Applications to MCDM Problems 5.4.2 Discussion 5.5 Summary and Conclusions References 6 Rule-Based Approach to Multicriteria Ranking 6.1 Introduction 6.2 Problem Setting 6.3 Pairwise Comparison Table (PCT) 6.4 Rough Approximation of Outranking and Non-outranking Relations 6.5 Induction and Application of Decision Rules 6.6 Exploitation of Preference Graphs 6.7 Illustrative Example 6.8 Summary and Conclusions References 7 About the Application of Evidence Theory in MultiCriteria Decision Aid 7.1 Introduction 7.2 Evidence Theory: Some Concepts 7.2.1 Knowledge Model 7.2.2 Combination 7.2.3 Decision Making 7.3 New Concepts in Evidence Theory for MCDA 7.3.1 First Belief Dominance 7.3.2 RBBD Concept 7.4 Multicriteria Methods modeled by Evidence Theory 7.4.1 Evidential Reasoning Approach 7.4.2 DS/AHP 7.4.3 DISSET 7.4.4 A Choice Model Inspired by ELECTRE I 7.4.5 A Ranking Model Inspired by Xu et al.'…”
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    Electronic eBook
  10. 6870
  11. 6871
  12. 6872
  13. 6873
  14. 6874
  15. 6875
  16. 6876

    Understanding aerodynamics arguing from the real physics / by McLean, Doug, 1943-

    Published 2013
    Table of Contents: “…Induced drag in terms of kinetic energy and an idealized rolled-up vortex wake 8.3.4 ... …”
    An electronic book accessible through the World Wide Web; click to view
    Electronic eBook
  17. 6877

    Understanding aerodynamics arguing from the real physics / by McLean, Doug, 1943-

    Published 2013
    Table of Contents: “…Induced drag in terms of kinetic energy and an idealized rolled-up vortex wake 8.3.4 ... …”
    An electronic book accessible through the World Wide Web; click to view
    Electronic eBook
  18. 6878

    Hispania in late antiquity current perspectives /

    Published 2005
    Table of Contents: “…"Cities and government in late antique Hispania : recent advances and future research" / Michael Kulikowski -- "Genere hispanus' : Theodosius, Spain, and Nicene orthodoxy" / Neil McLynn -- "Heresy and orthodoxy in fourth-century Hispania : Arianism and Priscillianism" / Victoria Escribano -- "Angelorum participes : the cult of the saints in late antique Spain" / Pedro Castillo Maldonado -- "Un coterie espagnole pieuse : Christian archaeology and Christian communities in fourth- and fifth-century Hispania" / Kim Bowes -- "The Cantabrian Basin in the fourth and fifth centuries : from imperial province to periphery" / Pablo C. …”
    An electronic book accessible through the World Wide Web; click to view
    Electronic eBook
  19. 6879

    Hispania in late antiquity current perspectives /

    Published 2005
    Table of Contents: “…"Cities and government in late antique Hispania : recent advances and future research" / Michael Kulikowski -- "Genere hispanus' : Theodosius, Spain, and Nicene orthodoxy" / Neil McLynn -- "Heresy and orthodoxy in fourth-century Hispania : Arianism and Priscillianism" / Victoria Escribano -- "Angelorum participes : the cult of the saints in late antique Spain" / Pedro Castillo Maldonado -- "Un coterie espagnole pieuse : Christian archaeology and Christian communities in fourth- and fifth-century Hispania" / Kim Bowes -- "The Cantabrian Basin in the fourth and fifth centuries : from imperial province to periphery" / Pablo C. …”
    An electronic book accessible through the World Wide Web; click to view
    Electronic eBook
  20. 6880

    Classical and modern engineering methods in fluid flow and heat transfer an introduction for engineers and students / by Dorfman, A. Sh. (Abram Shlemovich)

    Published 2013
    Table of Contents: “…Methods in heat transfer of solids -- 1.1 Historical notes -- 1.2 Heat conduction equation and problem formulation -- 1.2.1 Cartesian coordinates -- 1.2.2 Orthogonal curvilinear coordinates -- 1.2.3 Universal function for heat flux on an arbitrary nonisothermal surface -- 1.2.4 Initial, boundary, and conjugate conditions -- Exercises 1.1-1.12 -- 1.3 Solution using error integral -- 1.3.1 An infinite solid or thin, laterally insulated rod -- 1.3.2 A semi-infinite solid or thin, laterally insulated rod -- 1.4 Duhamel's method -- 1.4.1 Duhamel integral derivation -- 1.4.2 Time-dependent surface temperature -- Exercises 1.13-1.27 -- 1.5 Method of separation variables -- 1.5.1 General approach, homogeneous, and inhomogeneous problems -- 1.5.2 One-dimensional unsteady problems -- 1.5.3 Orthogonality of Eigenfunctions -- Exercises 1.28-1.43 -- 1.5.4 Two-dimensional steady problems -- 1.6 Integral transforms -- 1.6.1 Fourier transform -- 1.6.2 Laplace transform -- 1.7 Green's function method -- Exercises 1.44-1.60 --…”
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