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Subseafloor Biosphere Linked to Hydrothermal Systems TAIGA Concept /

Table of Contents: “…Introduction: concept of TAIGA -- Geochemical constraints on potential biomass sustained by subseafloor water-rock interactions -- Microbial cell densities, community structures, and growth in the hydrothermal plumes of subduction hydrothermal systems -- Systematics of distributions of various elements between ferromanganese oxides and seawater from natural observation, thermodynamics, and structures -- Evaluating hydrothermal system evolution using geochronological dating and biological diversity analyses -- Quantification of microbial communities in hydrothermal vent habitats of the Southern Mariana Trough and the Mid-Okinawa Trough -- Development of hydrothermal and frictional experimental systems to simulate sub-seafloor water–rock–microbe interactions -- Experimental hydrogen production in hydrothermal and fault systems: Significance for habitability of subseafloor H2 chemoautotroph microbial ecosystems -- Experimental assessment of microbial effects on chemical interaction between seafloor massive sulfides and seawater at 4℃ -- A compilation of the stable isotopic compositions of carbon, nitrogen, and sulfur in soft body parts of animals collected from deep-sea hydrothermal vent and methane seep fields: variations in energy source and importance of subsurface microbial processes in the sediment-hosted systems -- Tectonic background of four hydrothermal fields along the Central Indian Ridge -- Indian Ocean hydrothermal systems: seafloor hydrothermal activities, physical and chemical characteristics of hydrothermal fluids, and vent-associated biological communities -- Petrology and geochemistry of mid-ocean ridge basalts from the southern Central Indian Ridge -- Petrology of peridotites and related gabbroic rocks around the Kairei-hydrothermal field in the Central Indian Ridge -- Distribution and Biogeochemical Properties of Hydrothermal Plumes in the Rodriguez Triple Junction -- Vent fauna in the Central Indian Ridge -- The mantle dynamics, the crustal formation, and the hydrothermal activity of the Southern Mariana Trough back-arc Basin -- Seismic structure and seismicity in the Southern Mariana Trough and their relation to hydrothermal activity -- Electrical resistivity structure of the Snail site at the Southern Mariana Trough spreading center -- Asymmetric seafloor spreading of the southern Mariana Trough back-arc basin -- Geochemical characteristics of active backarc basin volcanisms at the southern end of Mariana Trough -- Mineralogical and geochemical characteristics of hydrothermal minerals collected from hydrothermal vent fields in the Southern Mariana spreading center -- Dating of hydrothermal mineralization in active hydrothermal fields in the Southern Mariana Trough -- Intra-field variation of prokaryotic communities on and below the seafloor in the back-arc hydrothermal system of the Southern Mariana Trough -- Vent fauna in the Mariana Trough -- Population history of a hydrothermal vent-endemic snail Alviniconcha hessleri in the Mariana Trough -- Hydrothermal activity in the Okinawa Trough backarc basin -geological background and hydrothermal mineralization- -- Active rifting structures in Iheya Graben and adjacent area of the mid-Okinawa Trough observed through seismic reflection surveys -- ESR dating of barite in sea-floor hydrothermal sulfide deposits in the Okinawa Trough -- Fluid geochemistry of high-temperature hydrothermal fields in the Okinawa Trough -- Sediment‒pore water system associated with native sulfur formation at Jade hydrothermal field in Okinawa Trough -- Comparative investigation of microbial communities associated with hydrothermal activities in the Okinawa Trough -- In situ determination of bacterial growth in mixing zone of hydrothermal vent field on the Hatoma Knoll, Southern Okinawa Trough -- Vent Fauna in the Okinawa Trough -- Brief report of side-scan sonar observations around the Yokoniwa NTO massif -- Examination of volcanic activity: AUV and submersible observations of fine-scale lava flow distributions along the Southern Mariana Trough spreading axis -- Brief report of side-scan sonar imagery observations of the Archaean, Pika, and Urashima hydrothermal sites -- The Yoron Hole: the shallowest hydrothermal site in the Okinawa Trough -- The Irabu Knoll: Hydrothermal site at the eastern edge of the Yaeyama Graben -- Tarama Knoll: Geochemical and biological profiles of hydrothermal activity -- Petrography and geochemistry of basement rocks drilled from Snail, Yamanaka, Archean, and Pika hydrothermal fields at the Southern Mariana Trough by Benthic Multi-coring System (BMS) -- Pore fluid chemistry beneath active hydrothermal fields in the mid-Okinawa Trough: Results of shallow drilling by BMS during TAIGA11 cruise -- The characteristics of the seafloor massive sulfide deposits at the Hakurei Site in the Izena Hole, the Middle Okinawa Trough -- Occurrence of hydrothermal alteration minerals at the Jade hydrothermal field, in the Izena Hole, mid-Okinawa Trough -- Geochemistry of hydrothermal fluids collected from active hydrothermal systems in the southern Mariana Trough backarc spreading center -- Gamma ray doses in water around sea floor hydrothermal area in South Mariana -- 226Ra-210Pb and 228Ra-228Th dating of barite in submarine hydrothermal sulfide deposits collected at Okinawa Trough and South Mariana Trough -- OSL dating of sea floor sediments at the Okinawa Trough -- Immediate change of radiation doses from hydrothermal deposits -- Periodic behavior of deep sea current in the Hatoma Knoll hydrothermal system -- The gelatinous macroplankton community at the Hatoma Knoll hydrothermal vent.…”
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Sustainability assessment of renewables-based products : methods and case studies /

Table of Contents: “…The growing role of biomass for future resource supply : prospects and pitfalls -- Helmut Haber -- The growing role of photovoltaic solar, wind and geothermal energy as renewables for electricity generation / W.G.J.H.M. van Sark, J.G. Schepers, J.D.A.M. van Wees -- Assessment of sustainability within holistic process design / Alexei Lapkin, Philipp-Maximilian Jacob, Polina Yaseneva, Charles Gordon, Amy Peace -- A mass balance approach to link sustainable renewable resources in chemical synthesis with market demand / Dr. …”
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Sustainability assessment of renewables-based products : methods and case studies /

Table of Contents: “…The growing role of biomass for future resource supply : prospects and pitfalls -- Helmut Haber -- The growing role of photovoltaic solar, wind and geothermal energy as renewables for electricity generation / W.G.J.H.M. van Sark, J.G. Schepers, J.D.A.M. van Wees -- Assessment of sustainability within holistic process design / Alexei Lapkin, Philipp-Maximilian Jacob, Polina Yaseneva, Charles Gordon, Amy Peace -- A mass balance approach to link sustainable renewable resources in chemical synthesis with market demand / Dr. …”
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Elements of algebraic coding systems / by Rocha, Valdemar C. da, 1947-

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Elements of algebraic coding systems / by Rocha, Valdemar C. da, 1947-

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BACnet the global standard for building automation and control networks / by Newman, H. Michael, 1942-

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BACnet the global standard for building automation and control networks / by Newman, H. Michael, 1942-

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Essays in energy /

Table of Contents: “…Small hydroelectric plants / Chad Kaleky -- 2.1 Introduction to hydropower -- 2.2 Diversity of hydropower plant design -- 2.3 Small hydroelectric power plants in use -- 2.4 Design of small hydroelectric power plants -- 2.5 Automatic controls in small hydroelectric plants -- 2.6 Environmental impact -- 2.7 Small hydropower utilization -- 2.8 Generators in hydropower systems -- 2.9 Electricity production using current water supply system -- 2.10 Conclusion -- References --…”
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Essays in energy /

Table of Contents: “…Small hydroelectric plants / Chad Kaleky -- 2.1 Introduction to hydropower -- 2.2 Diversity of hydropower plant design -- 2.3 Small hydroelectric power plants in use -- 2.4 Design of small hydroelectric power plants -- 2.5 Automatic controls in small hydroelectric plants -- 2.6 Environmental impact -- 2.7 Small hydropower utilization -- 2.8 Generators in hydropower systems -- 2.9 Electricity production using current water supply system -- 2.10 Conclusion -- References --…”
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The physics of microdroplets by Berthier, Jean, 1952-

Table of Contents: “…Droplets: Shape, Surface and Volume 83 -- 3.1 Abstract 83 -- 3.2 The Shape of Micro-drops 84 -- 3.3 Electric Bonds Number 85 -- 3.4 Shape, Surface Area and Volume of Sessile Droplets 85 -- 3.5 Conclusion 103 -- 3.6 References 103 -- 4. …”
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The physics of microdroplets by Berthier, Jean, 1952-

Table of Contents: “…Droplets: Shape, Surface and Volume 83 -- 3.1 Abstract 83 -- 3.2 The Shape of Micro-drops 84 -- 3.3 Electric Bonds Number 85 -- 3.4 Shape, Surface Area and Volume of Sessile Droplets 85 -- 3.5 Conclusion 103 -- 3.6 References 103 -- 4. …”
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Climate change / by Wong, Kaufui Vincent

Table of Contents: “…Anthropogenic heat release into the environment -- 5.1 Introduction and statement -- 5.2 Hypothesis of method and the method -- 5.3 Heat based on world energy consumption -- 5.4 Heat from net electricity generation -- 5.5 Heat from oil refineries -- 5.6 Heat from garbage incineration -- 5.7 World output of carbon dioxide -- 5.8 Heat from formation of sulfur dioxide from combustion -- 5.9 Heat from animal bodies -- 5.10 Discussion and conclusion -- 5.11 Nomenclature -- References --…”
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Climate change / by Wong, Kaufui Vincent

Table of Contents: “…Anthropogenic heat release into the environment -- 5.1 Introduction and statement -- 5.2 Hypothesis of method and the method -- 5.3 Heat based on world energy consumption -- 5.4 Heat from net electricity generation -- 5.5 Heat from oil refineries -- 5.6 Heat from garbage incineration -- 5.7 World output of carbon dioxide -- 5.8 Heat from formation of sulfur dioxide from combustion -- 5.9 Heat from animal bodies -- 5.10 Discussion and conclusion -- 5.11 Nomenclature -- References --…”
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Multicriteria decision aid and artificial intelligence links, theory and applications / by Doumpos, Michael

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

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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Chemistry and technology of emulsion polymerisation

Table of Contents: “…Asua 6.1 Introduction 145 6.2 Synthesis of Structured Polymer Particles 146 6.2.1 Emulsion Polymerisation 146 6.2.2 Miniemulsion Polymerisation 147 6.2.3 Physical Methods 148 6.3 Two-Phase Polymer-Polymer Structured Particles 148 6.3.1 Effect of Grafting 152 6.4 Two-Phase Polymer-Inorganic Particles 153 6.5 Multiphase Systems 156 6.6 Effect of Particle Morphology on Film Morphology 162 6.6.1 Modelling Film Morphology 165 Acknowledgements 165 7 Colloidal Aspects of Emulsion Polymerisation 167 Brian Vincent 7.1 Introduction 167 7.2 The Stabilisation of Colloidal Particles against Aggregation 168 7.3 Pair-Potentials in Colloidal Dispersions 170 7.3.1 Core-Core Interactions 170 7.3.2 Structural Interactions: (i) Those Associated with the Solvent 171 7.3.3 Structural Interactions: (ii) Electrical Double Layer Overlap 173 7.3.4 Structural Interactions: (iii) Adsorbed Polymer Layer Overlap 175 7.4 Weak Flocculation and Phase Separation in Particulate Dispersions 179 7.5 Aggregate Structure and Strength 184 8 Analysis of Polymer Molecules including Reaction Monitoring and Control 187 Peter Schoenmakers 8.1 Sampling and Sample Handling 188 8.1.1 Sampling 188 8.1.2 Sample Preparation 188 8.2 Monomer Conversion 189 8.3 Molar Mass 190 8.3.1 Molar-Mass Distributions 191 8.4 Chemical Composition 197 8.4.1 Average Chemical Composition 197 8.4.2 Molar-Mass Dependent Chemical Composition 199 8.4.3 Chemical-Composition Distributions 202 8.4.4 Two-Dimensional Distributions 207 8.5 Detailed Molecular Characterization 210 8.5.1 Chain Regularity 210 8.5.2 Branching 212 9 Particle Analysis 213 Ola Karlsson and Brigitte E.H. …”
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Chemistry and technology of emulsion polymerisation

Table of Contents: “…Asua 6.1 Introduction 145 6.2 Synthesis of Structured Polymer Particles 146 6.2.1 Emulsion Polymerisation 146 6.2.2 Miniemulsion Polymerisation 147 6.2.3 Physical Methods 148 6.3 Two-Phase Polymer-Polymer Structured Particles 148 6.3.1 Effect of Grafting 152 6.4 Two-Phase Polymer-Inorganic Particles 153 6.5 Multiphase Systems 156 6.6 Effect of Particle Morphology on Film Morphology 162 6.6.1 Modelling Film Morphology 165 Acknowledgements 165 7 Colloidal Aspects of Emulsion Polymerisation 167 Brian Vincent 7.1 Introduction 167 7.2 The Stabilisation of Colloidal Particles against Aggregation 168 7.3 Pair-Potentials in Colloidal Dispersions 170 7.3.1 Core-Core Interactions 170 7.3.2 Structural Interactions: (i) Those Associated with the Solvent 171 7.3.3 Structural Interactions: (ii) Electrical Double Layer Overlap 173 7.3.4 Structural Interactions: (iii) Adsorbed Polymer Layer Overlap 175 7.4 Weak Flocculation and Phase Separation in Particulate Dispersions 179 7.5 Aggregate Structure and Strength 184 8 Analysis of Polymer Molecules including Reaction Monitoring and Control 187 Peter Schoenmakers 8.1 Sampling and Sample Handling 188 8.1.1 Sampling 188 8.1.2 Sample Preparation 188 8.2 Monomer Conversion 189 8.3 Molar Mass 190 8.3.1 Molar-Mass Distributions 191 8.4 Chemical Composition 197 8.4.1 Average Chemical Composition 197 8.4.2 Molar-Mass Dependent Chemical Composition 199 8.4.3 Chemical-Composition Distributions 202 8.4.4 Two-Dimensional Distributions 207 8.5 Detailed Molecular Characterization 210 8.5.1 Chain Regularity 210 8.5.2 Branching 212 9 Particle Analysis 213 Ola Karlsson and Brigitte E.H. …”
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PEM fuel cells thermal and water management fundamentals / by Wang, Yun

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PEM fuel cells thermal and water management fundamentals / by Wang, Yun

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An introduction to transport phenomena in materials engineering by Gaskell, David R., 1940-

Table of Contents: “…Heat transport by thermal radiation -- 9.1 Introduction -- 9.2 Intensity and emissive power -- 9.3 Blackbody radiation -- 9.4 Emissivity -- 9.5 Absorptivity, reflectivity, and transmissivity -- 9.6 Kirchhoff's law and the Hohlraum -- 9.7 Radiation exchange between surfaces -- 9.8 Radiation exchange between blackbodies -- 9.9 Radiation exchange between diffuse-gray surfaces -- 9.10 Electric analogy -- 9.11 Radiation shields -- 9.12 Reradiating surface -- 9.13 Heat transfer from a surface by convection and radiation -- 9.14 Summary -- Problems --…”
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