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  • 1
    Online Resource
    Online Resource
    London :Springer London, Limited,
    Keywords: Energy consumption -- Economic aspects. ; Energy consumption -- Environmental aspects. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (200 pages)
    Edition: 1st ed.
    ISBN: 9781447166665
    Series Statement: Green Energy and Technology Series
    DDC: 333.79
    Language: English
    Note: Intro -- Foreword -- Executive Summary -- Contents -- About the Authors -- Abbreviations -- 1 Introduction -- Abstract -- 1.1 Basic Concept and Definitions -- 1.2 Energy Efficiency and Climate Change Mitigation -- 1.3 Energy Efficiency, Global Energy Demand, and Environment -- 1.4 Energy Efficiency---Low Hanging Fruits -- 1.5 Energy Efficiency Barriers -- 1.6 Energy Efficiency Gap -- 1.7 Methodologies -- 1.8 Objective -- 1.9 Book Structure, Conclusions, and Recommendations -- References -- 2 Energy Efficiency Becomes First Fuel -- Abstract -- 2.1 History of Energy Efficiency---A Hidden Fuel -- 2.2 Energy Efficiency as the First Fuel -- 2.3 The First Fuel Never Runs Out -- 2.4 The Future Potential of the First Fuel -- 2.5 Challenge to the First Fuel -- 2.6 Applications of Energy Efficiency as Fuels -- 2.7 Summary -- References -- 3 Energy Efficiency Becomes First Tool for Climate Change Mitigation -- Abstract -- 3.1 Introduction -- 3.2 Analysis of GHG Reduction Target for China -- 3.2.1 China's Dream and Economic Development Outlook -- 3.2.2 China's Carbon Emissions Outlook -- 3.2.2.1 China's Historical Carbon Intensity -- 3.2.2.2 Business as Usual (Scenario 1) -- 3.2.2.3 Using Energy Efficiency as the First Fuel to Reduce Carbon (Scenario 2) -- China's Historical Energy Intensities -- Carbon Intensity Reduction with Energy Efficiency as the First Fuel -- 3.2.2.4 Enlarging Investments in Non-fossil Fuel Technologies (Scenario 3) -- 3.2.2.5 Using Energy Efficiency as the First Fuel and Enlarging Non-fossil Fuel to 20 % (Scenario 4) -- 3.3 Analysis of GHG Reduction Target for the USA -- 3.3.1 US EPA's Clean Air Act and Climate Change Mitigation Policies -- 3.3.2 GHG Emission Projection in the USA -- 3.4 Conclusions -- References -- 4 Market Barriers to Energy Efficiency -- Abstract -- 4.1 Introduction -- 4.2 Worldwide Subsidies to Fossil Energy. , 4.3 High Transaction Costs -- 4.4 Invisibility of Energy Efficiency Projects -- 4.5 Misplaced Incentives -- 4.6 Lack of Access to Financing -- 4.7 Regulatory Barrier -- 4.8 Gold Plating and Inseparability of Features -- 4.9 Externalities -- 4.10 Imperfect Information -- 4.11 Customer Inertia -- 4.12 Lack of Capacity in Developing Countries -- 4.13 Summary -- References -- 5 Overall Methodology in This Study -- Abstract -- 5.1 Methodological Framework -- 5.2 Data Used in This Study -- Reference -- 6 Energy Efficiency Policies -- Abstract -- 6.1 Introduction -- 6.2 Necessities for Public Policies Promoting Energy Efficiency -- 6.3 Sufficient Conditions for the Use of Policies for Energy Efficiency -- 6.4 Documentation of Global Energy Efficiency Policies -- 6.5 Energy Efficiency Policies to Benefit the Society -- 6.6 Government Policy and Regulation for Utilities -- 6.7 Examples of Energy Efficiency Policies -- 6.7.1 The USA -- 6.7.2 China -- 6.8 Monitoring and Evaluation of Government Policy Effectiveness -- 6.9 More Examples of Energy Policies by Countries -- 6.9.1 Energy Efficiency Policies -- 6.9.2 Energy Efficiency Labeling Programs -- 6.9.3 Appliance, Equipment, and Lighting Minimum Energy Performance Standards (MEPS) -- 6.9.4 Transport Fuel Efficiency Standards for Light-Duty Vehicles (LDV) and Heavy-Duty Vehicles (HDV) -- 6.9.5 Transport Fuel-Economy Labeling for LDV an HDV -- 6.9.6 Transport Fiscal Incentives for New Efficient Vehicles -- 6.9.7 Industrial Energy Management Programs -- 6.9.8 Industrial MEPS for Electric Motors -- 6.9.9 Energy Utilities -- 6.10 Summary -- References -- 7 Energy Efficiency Cost-Effectiveness Test -- Abstract -- 7.1 Introduction -- 7.2 Methodology of Participant Analysis -- 7.2.1 Significance of the Analysis -- 7.2.2 Formulas -- 7.2.3 Parameters and Indictors of the Formulas. , 7.2.3.1 Present Value of Project Benefits (B) -- 7.2.3.2 Present Value of Project Costs (C) -- 7.2.3.3 Net Present Value -- 7.2.3.4 Benefit--cost ratio (BCR) -- 7.2.3.5 Internal Rate of Return (IRR) -- 7.2.3.6 Discounted Payback Period (DPP) -- 7.2.3.7 Payback Period (PP) -- 7.2.3.8 Discount Rate (D) -- 7.3 Application of the Cost-Effective Results -- 7.4 Summary -- References -- 8 Energy Efficiency Project Finance -- Abstract -- 8.1 Introduction -- 8.2 Financing Models -- 8.2.1 Dedicated Credit Lines -- 8.2.1.1 Definition of Dedicated Credit Lines -- 8.2.1.2 Objectives and Approaches of Dedicated Credit Lines -- 8.2.1.3 Structure of Dedicated Credit Lines -- 8.2.2 Risk-Sharing Facilities -- 8.2.2.1 Definition of Risk-Sharing Facilities -- 8.2.2.2 Objectives and Approaches of Risk-Sharing Facilities -- 8.2.2.3 Structure of the Risk-Sharing Mechanism -- 8.2.3 Energy Saving Performance Contracts -- 8.2.3.1 Definition of Energy Saving Performance Contracts -- 8.2.3.2 Objectives and Approaches of Energy Saving Performance Contracts -- 8.2.3.3 Structures of Energy Saving Performance Contracts -- 8.2.4 Leasing -- 8.2.4.1 Definition of Leasing -- 8.2.4.2 Objective of Leasing -- 8.2.4.3 Rationale of Leasing -- 8.2.4.4 Structures and Advantages of Leasing -- 8.2.5 Comparison of the Four Financial Models -- 8.3 Case Studies of Project Financing -- 8.3.1 Dedicated Credit Lines -- 8.3.1.1 China Energy Efficiency Financing Program -- 8.3.1.2 Thailand Energy Efficiency Revolving Fund -- 8.3.1.3 Indian KfW SME Credit Line -- 8.3.2 Risk-Sharing Facilities -- 8.3.2.1 IFC/GEF Commercializing Energy Efficiency Finance (CEEF) -- 8.3.2.2 IFC/GEF China Utility Energy Efficiency Program -- 8.3.2.3 World Bank China Energy Conservation II Program -- 8.3.3 Energy Saving Performance Contracts -- 8.3.3.1 World Bank/GEF Financed China Energy Conservation Project -- 8.3.4 Leasing. , 8.3.4.1 Turkey Commercializing Sustainable Energy Finance Program -- 8.4 Summary -- References -- 9 Energy Service Company Development -- Abstract -- 9.1 Introduction -- 9.2 Case Studies of GEF-Supported ESCO Projects -- 9.2.1 China -- 9.2.2 India -- 9.2.3 Ukraine -- 9.2.4 Brazil -- 9.3 Discussions -- 9.4 Conclusions -- References -- 10 Energy-Efficient Technologies -- Abstract -- 10.1 Introduction -- 10.2 Energy-Efficient Technologies in Lighting -- 10.2.1 Technology Development -- 10.2.2 Physical Principles and Performance Characteristics of SSL Technologies -- 10.2.2.1 Physical Principles and Types of LED -- 10.2.2.2 LED Efficiency -- 10.2.2.3 Longevity -- 10.2.2.4 Cost -- 10.2.2.5 The LED Outlook -- 10.3 Energy-Efficient Appliance: Refrigerator Technologies -- 10.3.1 Energy-Efficient Refrigerators -- 10.3.2 Efficiency Climbs with Computer Technologies -- 10.4 Energy-Efficient Vehicles -- 10.5 Energy-Efficient Electric Motors -- 10.5.1 Definition -- 10.5.2 Efficiency Values Used to Compare Motors -- 10.5.3 Use Energy-Efficient Motors -- 10.5.4 Cost-Effectiveness of Motors -- 10.5.5 Deal with Failed Motors -- 10.5.6 Motor Size to Consider -- 10.5.7 Operating Speed -- 10.5.8 Inrush Current -- 10.5.9 Periodic Maintenance -- 10.6 Conclusions and Looking Ahead -- References -- 11 Energy-Efficient Urban Transport -- Abstract -- 11.1 Introduction -- 11.2 Barriers to Urban Transport System Efficiency -- 11.3 Government Policy Role to Remove Barriers -- 11.3.1 Public and Private Partnership in Financing Transport Projects -- 11.3.2 Examples of Project Financing in the Urban Transport Sector -- 11.3.3 Replacement of Energy and Transport with Information Technology -- 11.4 Conclusions and Looking Ahead -- References -- 12 Case Studies -- 12.1 Case Study Paper 1: Raising China's Motor Efficiency -- 12.1.1 Abstract -- 12.1.2 Introduction. , 12.1.3 Methodology and Approaches in This Case Study -- 12.1.4 Intelligent Motor Controllers -- 12.1.5 Study in China -- 12.1.5.1 Projection of Power Consumption by Large Induction Motors by 2020 -- 12.1.5.2 Assumptions of Business as Usual and Energy Efficiency Scenarios -- 12.1.5.3 Analysis Results -- 12.1.5.4 Environment Benefits -- 12.1.5.5 Cost-Benefit Assessments -- 12.1.5.6 National Investment Assessment -- 12.1.5.7 Financial Assessment -- 12.1.5.8 Barriers to Investing in IMCs -- 12.1.5.9 Policy Recommendations -- 12.1.6 Conclusions -- 12.2 Case Study Paper 2: Investing in Boiler Steam Systems -- 12.2.1 Abstract -- 12.2.2 Introduction -- 12.2.3 China -- 12.2.3.1 Design of the GEF Project -- 12.2.3.2 GEF Finance -- 12.2.3.3 Project Implementation -- 12.2.3.4 Achievement of Objective and Outputs -- 12.2.3.5 Global Environment Benefits -- 12.2.4 Vietnam -- 12.2.4.1 Design of an Industrial Boiler Project -- 12.2.4.2 Global Environmental Benefit -- 12.2.5 Russia -- 12.2.5.1 Barriers to Industrial System Energy Efficiency -- 12.2.5.2 Policy and Strategy Recommendations -- 12.2.6 Conclusions -- References -- 13 Conclusions and Further Studies -- Abstract -- 13.1 Conclusions -- 13.2 Future Studies in This Area -- Erratum to: Energy Efficiency -- Glossary of Terms.
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  • 2
    Online Resource
    Online Resource
    Singapore :Springer Singapore Pte. Limited,
    Keywords: Mathematical optimization. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (230 pages)
    Edition: 1st ed.
    ISBN: 9789811518423
    Series Statement: Springer Tracts in Nature-Inspired Computing Series
    Language: English
    Note: Intro -- Preface -- Contents -- Editors and Contributors -- 1 Navigation, Routing and Nature-Inspired Optimization -- 1 Introduction -- 2 Navigation in Animals -- 3 Navigation, Routing and Optimization -- 3.1 Optimization -- 3.2 Travelling Salesman Problem -- 3.3 Routing Problems -- 4 Nature-Inspired Algorithms for Optimization -- 4.1 Deterministic or Stochastic -- 4.2 Genetic Algorithms -- 4.3 Ant Colony Optimization -- 4.4 Particle Swarm Optimization -- 4.5 Firefly Algorithm -- 4.6 Cuckoo Search -- 4.7 Bat Algorithm -- 4.8 Flower Pollination Algorithm -- 4.9 Other Algorithms -- 5 Algorithmic Characteristics -- 5.1 Characteristics -- 5.2 Discretization and Solution Representations -- 6 Conclusions -- References -- 2 Navigation and Navigation Algorithms -- 1 Navigation Introduction -- 1.1 Navigation Origin -- 1.2 Navigation Definition -- 2 Development of Navigation -- 2.1 Initial Germination Stage -- 2.2 Low-Speed Development Stage -- 2.3 Prosperity and Active Stage -- 2.4 Blooming Stage -- 3 Navigation Algorithms -- 3.1 Ecosystem Simulation Algorithm -- 3.2 Swarm Intelligence Algorithm -- 3.3 Evolutionary Algorithm -- 3.4 Artificial Intelligence Algorithm -- 4 Development Tendency of Navigation Algorithms -- 4.1 Development Status of Navigation Algorithms -- 4.2 Development Tendency of Navigation Algorithm -- 5 Application of Navigation Algorithm -- 5.1 Application of Aviation Navigation Algorithm -- 5.2 Application of Land Navigation Algorithm -- 5.3 Application of Sea Surface Navigation Algorithm -- 5.4 Application of Underwater Navigation Algorithm -- References -- 3 Is the Vehicle Routing Problem Dead? An Overview Through Bioinspired Perspective and a Prospect of Opportunities -- 1 Introduction -- 2 Problem Statement -- 3 Recent Advances in Vehicle Routing Problem -- 3.1 Vehicle Routing Problem and Genetic Algorithms. , 3.2 Vehicle Routing Problem and Tabu Search -- 3.3 Vehicle Routing Problem and Simulated Annealing -- 3.4 Vehicle Routing Problem and Particle Swarm Optimization -- 3.5 Vehicle Routing Problem and Artificial Bee Colony -- 3.6 Vehicle Routing Problem and Ant Colony Optimization -- 3.7 Vehicle Routing Problem and Cuckoo Search -- 3.8 Vehicle Routing Problem and Imperialist Competitive Algorithm -- 3.9 Vehicle Routing Problem and Bat Algorithm -- 3.10 Vehicle Routing Problem and Firefly Algorithm -- 3.11 Vehicle Routing Problem and Other Nature-Inspired Metaheuristics -- 4 Challenges and Research Opportunities -- 5 Conclusions -- References -- 4 Review of Tour Generation for Solving Traveling Salesman Problems -- 1 Introduction -- 2 Traveling Salesman Problem (TSP) -- 2.1 History -- 2.2 Definitions -- 2.3 Applications -- 3 Best Tour Generation -- 3.1 Tour Construction -- 3.2 Tour Improvement -- 4 TSP Solution Space -- 4.1 Search Space Model -- 4.2 Constraints -- 5 Search Methods -- 6 Example: Discrete Cuckoo Search -- 6.1 First Layer: Construct a Solution -- 6.2 Second Layer:Improving the Solution -- 6.3 Third Layer: Local Optimum Escaping Methods -- 6.4 Fourth Layer: Discrete Cuckoo Search -- 7 Conclusion -- References -- 5 Flow Shop Scheduling By Nature-Inspired Algorithms -- 1 Introduction -- 2 Problem Definition -- 3 Literature Review -- 3.1 Ant Colony Optimization (ACO) -- 3.2 African Wild Dog Algorithm -- 3.3 Artificial Bee Colony (ABC) -- 3.4 Bacterial Foraging Optimization Algorithm (BFOA) -- 3.5 Bat Algorithm (BA) -- 3.6 Cuckoo Search (CS) -- 3.7 Crow Search Algorithm (CSA) -- 3.8 Firefly Algorithm (FA) -- 3.9 Flower Pollination Algorithm (FPA) -- 3.10 Fruit Fly Optimization Algorithm (FFO) -- 3.11 Gray Wolf Optimization (GWO) Algorithm -- 3.12 Invasive Weed Optimization (IWO) Algorithm -- 3.13 Migrating Birds Optimization (MBO) Algorithm. , 3.14 Monkey Search Algorithm -- 3.15 Particle Swarm Optimization (PSO) -- 3.16 Rhinoceros Search Algorithm (RSA) -- 3.17 Sheep Flock Heredity Algorithm (SFHA) -- 3.18 Shuffled Frog Leaping Algorithm (SFLA) -- 3.19 Water Wave Optimization (WWO) Algorithm -- 3.20 Whale Optimization Algorithm (WOA) -- 4 Future Direction of Research -- 5 Conclusions -- References -- 6 Mobile Robot Path Planning Using a Flower Pollination Algorithm-Based Approach -- 1 Introduction -- 1.1 Multi-robot Path Planning Approach -- 1.2 Soft Computing-Based Approaches -- 1.3 Challenges in the Application of Artificial Intelligent Approaches -- 2 Flower Pollination Algorithm -- 2.1 Basic Principle -- 2.2 Proposed Approach for Robot Path Planning -- 3 Results and Discussions -- 4 Conclusions for the Book Chapter -- References -- 7 Smartphone Indoor Localization Using Bio-inspired Modeling -- 1 Introduction -- 2 Background -- 2.1 Indoor Localization with Smartphones -- 2.2 Bio-inspired Computing: An Overview -- 3 Literature Review -- 3.1 Localization Using Bio-inspired Techniques -- 3.2 Smartphone Indoor Navigation Using Bio-inspired Techniques -- 4 Indoor Localization Using Artificial Neural Networks -- 4.1 System Model -- 4.2 Research Goal -- 4.3 Radiomap Modeling Using Artificial Neural Networks -- 5 Experimental Evaluation -- 5.1 Datasets and Evaluation Metrics -- 5.2 Evaluation Results -- 6 Conclusions and Future Challenges -- References -- 8 A New Obstacle Avoidance Technique Based on the Directional Bat Algorithm for Path Planning and Navigation of Autonomous Overhead Traveling Cranes -- 1 Introduction -- 2 BA, dBA and Variants -- 2.1 The Standard Bat Algorithm -- 2.2 Recent Advance in Improving the Bat Algorithm -- 2.3 The Directional Bat Algorithm -- 3 The Proposed Strategy for OTC Autonomous Path Planning -- 4 Simulation, Results and Discussions -- 5 Conclusions. , Appendix -- References -- 9 Natural Heuristic Methods for Underwater Vehicle Path Planning -- 1 Path Planning of Underwater Vehicle -- 1.1 Path Planning -- 1.2 Objective Optimization -- 1.3 Main Processes -- 1.4 The Key to the Problems -- 2 Characteristics of Underwater Path Planning -- 2.1 Safe Navigation Factors -- 2.2 Hidden Navigation Factors -- 2.3 Marine Environmental Factors -- 3 Intelligent Path Planning Algorithm -- 3.1 Neural Network Method -- 3.2 Fuzzy Logic Method -- 3.3 Genetic Algorithm -- 3.4 Ant Colony Algorithm -- 4 Firefly Algorithm -- 4.1 Bionics Principle -- 4.2 Algorithm Description -- 4.3 Algorithm Flow -- 4.4 Performance Analysis -- 4.5 Algorithm Improvement -- 5 Route Planning Based on Firefly Algorithm -- 5.1 Environmental Modeling -- 5.2 Route Expression -- 5.3 Evaluation Function -- 5.4 Process Design -- 5.5 Simulation -- References.
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  • 3
    Online Resource
    Online Resource
    La Vergne :Royal Society of Chemistry, The,
    Keywords: Proteins -- Analysis. ; Biosensors. ; Bioelectronics. ; Electronic books.
    Description / Table of Contents: The only book to focus on the generation of biosensing interfaces with analyses and control at the molecular level.
    Type of Medium: Online Resource
    Pages: 1 online resource (270 pages)
    Edition: 1st ed.
    ISBN: 9781847559777
    DDC: 547.7
    Language: English
    Note: Engineering the Bioelectronic Interface -- Contents -- Chapter 1 Communication with the Mononuclear Molybdoenzymes: Emerging Opportunities and Applications in Redox Enzyme Biosensors -- 1.1 Introduction - the Three Mo Enzyme Families -- 1.2 Mechanism -- 1.3 Amperometric Biosensors -- 1.4 Emerging Applications of Mo Enzymes in Sensing -- 1.4.1 Xanthine Oxidase Family -- 1.5 Sulfite Oxidase Family -- 1.5.1 Sulfite Oxidoreductase -- 1.6 DMSO Reductase Family -- 1.6.1 DMSO Reductase -- 1.6.2 Nitrate Reductase -- 1.6.3 Arsenite Oxidase -- 1.6.4 Chlorate and Perchlorate Reductase -- 1.7 Conclusions -- References -- Chapter 2 Scanning Probe Analyses at the Bioelectronic Interface -- 2.1 Introduction -- 2.1.1 Scanning Probe Microscopy -- 2.1.2 SPM Applications at the Biomolecular Interface -- 2.1.3 Summary -- 2.2 Bioelectronic Analyses -- 2.2.1 Electrode Surface Considerations -- 2.2.2 AFM Imaging Case Studies -- 2.2.3 The Direct Imaging of Electrochemistry and Enzyme Activity -- 2.2.4 Spectroscopic Assessment Electrodebiomolecule Electronic Coupling -- 2.3 Summary -- References -- Chapter 3 Electrical Interfacing of Redox Enzymes with Electrodes by Surface Reconstitution of Bioelectrocatalytic Nanostructures -- 3.1 Introduction -- 3.2 Reconstituted Enzyme Electrodes in Monolayer Configurations -- 3.3 Electrical Wiring of Redox Proteins with Electrodes by their Reconstitution on Cofactor-Functionalised Metallic Nanoparticles (NPs) or Carbon Nanotubes (CNTs) -- 3.4 Reconstitution of apo-Enzymes in Thin Films of Redox Polymers -- 3.5 Design of Electrically Contacted Enzyme Electrodes by the Crossing of Surface-confined Cofactor-enzyme Affinity Complexes -- 3.6 Reconstituted Enzyme Electrodes for Biofuel Cell Applications -- 3.7 Conclusions and Perspectives -- Acknowledgement -- References -- Chapter 4 Single-wall Carbon Nanotube Forests in Biosensors. , 4.1 Unique Properties of Carbon Nanotubes -- 4.1.1 Introduction -- 4.1.2 Electrocatalytic Properties -- 4.2 Biosensors Using Non-oriented Carbon Nanotube Electrodes -- 4.3 Biosensors Utilising Vertically Aligned Carbon Nanotube Forests -- 4.3.1 CNT Forest Fabrication -- 4.3.2 Biosensor Applications of SWNT Forests -- 4.4 Outlook for the Future -- References -- Chapter 5 Activating Redox Enzymes through Immobilisation and Wiring -- 5.1 Introduction -- 5.2 Protein Complexes -- 5.2.1 Co-crystallisation -- 5.2.2 Covalent Complexes -- 5.3 Electron Transfer at Electrodes -- 5.3.1 Voltammetry -- 5.3.2 Chronoamperometry -- 5.4 Surface Preparation -- 5.4.1 Carbon -- 5.4.2 Gold -- 5.4.3 Other Methods -- 5.5 Immobilisation -- 5.5.1 Direct Immobilisation -- 5.5.2 Wires -- 5.5.3 Wiring Proteins -- 5.6 Conclusion -- References -- Chapter 6 Cytochromes P450: Tailoring a Class of Enzymes for Biosensing -- 6.1 Introduction -- 6.2 Structure-function of Bacterial and Human Cytochromes P450 -- 6.3 The Need for Electrons: the Cytochrome P450 Catalytic Cycle -- 6.4 Human Cytochromes P450 and Drug Metabolism -- 6.5 Protein Engineering of P450s to Improve or Expand their Catalytic Properties -- 6.5.1 Directed Evolution of Cytochrome P450 Enzymes -- 6.5.2 Rational Design of Cytochrome P450 Enzymes -- 6.6 Interfacing Cytochromes P450 to Electrodes -- 6.6.1 Immobilisation on Unmodified Electrodes -- 6.6.2 Immobilisation with Surfactants, Polymers and Gold Nanoparticles -- 6.6.3 Immobilisation by Covalent Linkage on Gold Electrodes: Use of Spacers -- 6.6.4 Protein Engineering to Control Protein Immobilisation and Catalytic Turnover on Electrode Surfaces -- 6.7 Conclusions -- References -- Chapter 7 Label-free Field Effect Protein Sensing -- 7.1 Interfacial Protein Detection -- 7.2 Protein Microarrays -- 7.2.1 Array Substrates -- 7.2.2 Surface Chemistry and Immobilisation. , 7.2.3 Capture Biomolecules -- 7.2.4 Detection Tools -- 7.2.5 Ultrasensitive Protein Detection -- 7.3 Label-free Field Effect Protein Detection -- 7.3.1 Field Effect Transistor (FET) based Protein Sensing -- 7.3.2 Capacitance/Impedance Label-free Protein Sensing -- 7.3.3 Nanoscale Devices for Label-free Field Effect Protein Sensing -- 7.4 Conclusions -- References -- Chapter 8 Biological and Clinical Applications of Biosensors -- 8.1 Biosensing for Pure Biological Research -- 8.1.1 The Challenges of ''Omics'' and ''Systems'' Approaches -- 8.1.2 Biological Complexity -- 8.1.3 The Types of Device Required -- 8.2 Biosensing for Clinical Applications -- 8.2.1 The Clinical Problems - Diagnosis, Prognosis, Personalised Medicine -- 8.2.2 Biosensors for Clinical Applications -- 8.3 Further Reading -- References -- Subject Index.
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  • 4
    Description / Table of Contents: The only book to focus on the generation of biosensing interfaces with analyses and control at the molecular level, The interfacing of man-made electronics with redox proteins and enzymes not only tells us a great deal about the levels of sophistication active in biology, but also paves the way to using it in derived sensory devices. Some of these have already had a profound impact on both clinical diagnostics and the quality of life enjoyed by those unfortunate enough to live with disease. Though much remains to be learnt about controlling and optimising these interfacial interactions, their potential uses are, if anything, growing. Written by leaders in the field, this is the only book to focus on the generation of biosensing interfaces with analyses and control at the molecular level. Some of these are enzyme based, others associated with the generation of surfaces for protein-protein recognition. Summaries of state-of-the-art investigations into the interfacing of structurally complex molecular species with electrode surfaces are included along with their design, analysis and potential application. Studies into the "wiring" of biomolecules to man-made surfaces through the use of delocalised "molecular wires" or carbon nanotubes are detailed as are the application of surface chemical and genetic engineering methods to the construction of robust, orientated biomolecular monolayers
    Type of Medium: Online Resource
    Pages: 224 p , Online-Ressource , 118 b&w, 52 col.ill., ill
    Edition: RSC eBook Collection 1968-2009
    Language: English
    Note: Ebook , Chapter 1: The Mononuclear Molybdoenzymes: potential applications in redox enzyme biosensors-- Chapter 2: Scanning Probe Analyses at the Bioelectronic Interface-- Chapter 3: Electrical Interfacing of Redox Enzymes with Electrodes by the Surface Reconstitution of Apo-Enzymes-- Chapter 4: Single-wall carbon nanotube forests in biosensors-- Chapter 5: Energizing redox enzymes through substrate surface preparation and wiring-- Chapter 6: Cytochromes P450s: Tayloring a class of enzymes for biosensing-- Chapter 7: Label free field effect protein sensing-- Chapter 8: Biological and Clinical Applications of Protein Biosensors.
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  • 5
    Publication Date: 2022-05-26
    Description: © The Author(s), 2019. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Du, J., Park, K., Yu, X., Zhang, Y. J., & Ye, F. Massive pollutants released to Galveston Bay during Hurricane Harvey: Understanding their retention and pathway using Lagrangian numerical simulations. Science of the Total Environment, 704, (2019): 135364, doi: 10.1016/j.scitotenv.2019.135364.
    Description: Increasing frequency of extreme precipitation events under the future warming climate makes the storm-related pollutant release more and more threatening to coastal ecosystems. Hurricane Harvey, a 1000-year extreme precipitation event, caused massive pollutant release from the Houston metropolitan area to the adjacent Galveston Bay. 0.57 × 106 tons of raw sewage and 22,000 barrels of oil, refined fuels and chemicals were reportly released during Harvey, which would likely deteriorate the water quality and damage the coastal ecosystem. Using a Lagrangian particle-tracking method coupled with a validated 3D hydrodynamic model, we examined the retention, pathway, and fate of the released pollutants. A new timescale, local exposure time (LET), is introduced to quantitatively evaluate the spatially varying susceptibility inside the bay and over the shelf, with a larger LET indicating the region is more susceptible to the released pollutants. We found LET inside the bay is at least one order of magnitude larger for post-storm release than storm release due to a quick recovery in the system's flushing. More than 90% of pollutants released during the storm exited the bay within two days, while those released after the storm could stay inside the bay for up to three months. This implies that post-storm release is potentially more damaging to water quality and ecosystem health. Our results suggest that not only the amount of total pollutant load but also the release timing should be considered when assessing a storm's environmental and ecological influence, because there could be large amounts of pollutants steadily and slowly discharged after storm through groundwater, sewage systems, and reservoirs.
    Description: We like to acknowledge the Texas Coastal Management Program, the Texas General Land Office and NOAA for partial funding of this project through CMP Contract #19-040-000-B074. This work was performed using computing facilities at the College of William and Mary, which were provided by contributions from the National Science Foundation, the Commonwealth of Virginia Equipment Trust Fund and the Office of Naval Research.
    Keywords: Storm discharge ; Retention ; Local exposure time ; Particle tracking ; SCHISM
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 6
    Publication Date: 2022-10-20
    Description: Author Posting. © American Geophysical Union, 2020. This article is posted here by permission of American Geophysical Union for personal use, not for redistribution. The definitive version was published in Water Resources Research 56(9), (2020): e2020WR027227, doi:10.1029/2020WR027227.
    Description: Hypoxia is a big concern in coastal waters as it affects ecosystem health, fishery yield, and marine water resources. Accurately modeling coastal hypoxia is still very challenging even with the most advanced numerical models. A data‐driven model for coastal water quality is proposed in this study and is applied to predict the temporal‐spatial variations of dissolved oxygen (DO) and hypoxic condition in Chesapeake Bay, the largest estuary in the United States with mean summer hypoxic zone extending about 150 km along its main axis. The proposed model has three major components including empirical orthogonal functions analysis, automatic selection of forcing transformation, and neural network training. It first uses empirical orthogonal functions to extract the principal components, then applies neural network to train models for the temporal variations of principal components, and finally reconstructs the three‐dimensional temporal‐spatial variations of the DO. Using the first 75% of the 32‐year (1985–2016) data set for training, the model shows good performance for the testing period (the remaining 25% data set). Selection of forcings for the first mode points to the dominant role of streamflow in controlling interannual variability of bay‐wide DO condition. Different from previous empirical models, the approach is able to simulate three‐dimensional variations of water quality variables and it does not use in situ measured water quality variables but only external forcings as model inputs. Even though the approach is used for the hypoxia problem in Chesapeake Bay, the methodology is readily applicable to other coastal systems that are systematically monitored.
    Description: This is contribution No. 3934 of the Virginia Institute of Marine Science, College of William and Mary.
    Description: 2021-02-25
    Keywords: Big‐data analysis ; EOF ; Neural network ; Machine‐learning ; Hypoxic volume
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 7
    ISSN: 1520-510X
    Source: ACS Legacy Archives
    Topics: Chemistry and Pharmacology
    Type of Medium: Electronic Resource
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  • 8
    ISSN: 1432-0983
    Keywords: DNA repair ; RAD6 gene ; RAD52 gene ; UV mutagenesis ; Mating type
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract The RAD6 gene of Saccharomyces cerevisiae is required for post-replication repair of UV-damaged DNA, UV mutagenesis, and sporulation. Here, we show that the radiation sensitivity of a MAT a rad6Δ strain can be suppressed by the MATα2 gene carried on a multicopy plasmid. The a1-α2 suppression is specific to the RAD6 pathway, as mutations in genes required for nucleotide excision repair or for recombinational repair do not show such mating-type suppression. The a1-α2 suppression of the rad6Δ mutation requires the activity of the RAD52 group of genes, suggesting that suppression occurs by channelling of post-replication gaps present in the rad6Δ mutant into the RAD52 recombinational repair pathway. The a1-α2 repressor could mediate this suppression via an enhancement in the expression, or the activity, of recombination genes.
    Type of Medium: Electronic Resource
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  • 9
    Electronic Resource
    Electronic Resource
    Amsterdam : Elsevier
    Chinese Astronomy 2 (1978), S. 193-209 
    ISSN: 0146-6364
    Source: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Topics: Physics
    Type of Medium: Electronic Resource
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  • 10
    Electronic Resource
    Electronic Resource
    Oxford, UK : Blackwell Publishing Ltd
    Journal of esthetic and restorative dentistry 1 (1989), S. 0 
    ISSN: 1708-8240
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Medicine
    Type of Medium: Electronic Resource
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