Tabla de Contenidos: “…-- 1.3 Introducing active learning: Improving the speed and reducing the cost of training data -- 1.3.1 Three broad active learning sampling strategies: Uncertainty, diversity, and random -- 1.3.2 What is a random selection of evaluation data? …”

Tabla de Contenidos: “…Colorants, Matte Finish -- Nucleating Agents, Clarifiers -- Antiblock, Slip, and Release Aids -- Antifog Additives -- Antistatic Agent -- Barrier Property Enhancement -- Composites -- 4.3.3 Alloys Extend the Application Field of Bioplastics (See Also Chapter 6) -- 4.4 Cellulose Derivatives -- 4.4.1 Cellulose Esters -- 4.4.1.1 Advantages -- 4.4.1.2 Drawbacks -- 4.4.1.3 Special Grades -- 4.4.1.4 Costs -- 4.4.1.5 Processing -- 4.4.1.6 Applications -- 4.4.1.7 Thermal Behavior -- 4.4.1.8 Optical Properties -- 4.4.1.9 Mechanical Properties -- 4.4.1.10 Dimensional Stability -- 4.4.1.11 Poisson's Ratio -- 4.4.1.12 Weathering -- 4.4.1.13 Chemicals -- 4.4.1.14 Permeability -- 4.4.1.15 Fire Resistance -- 4.4.1.16 Electrical Properties -- 4.4.1.17 Joining, Decoration -- 4.4.1.18 Specific ISO Standards Concerning Cellulosics -- 4.4.1.19 Specific ASTM Standard Examples -- 4.4.1.20 Trade Name Examples -- 4.4.1.21 Property Tables -- 4.4.2 Proprietary Grades of Ready-to-Use Cellulose-Based Plastics -- 4.5 Various Aliphatic Polyesters -- 4.5.1 Example of Mirel by Metabolix -- 4.5.2 Examples of Polyhydroxybutyrate and Polyhydroxybutyrate-Valerate Derivatives -- 4.5.3 Examples of Polyhydroxybutyrate-Hexanoate -- 4.5.4 Example of Poly(4-Hydroxybutyric Acid) -- 4.5.5 Example of Minerv Polyhydroxyalkanoate by BIO-ON -- 4.6 Liquid Wood Based on Lignin-Arboform by Tecnaro -- 4.7 Self-Reinforced Composite Produced From Cereals: VEGEMAT® by Vegeplast -- Further Reading -- Websites -- 5 - Biobricks: The Breakthrough of Drop-In Solutions -- 5.1 A Broad Panel of Biomonomers and Bioblocks "Similar" to Fossil Molecules -- 5.1.1 Hydrocarbons -- 5.1.2 Alcohol Routes -- 5.1.3 Acid Routes -- 5.1.4 Miscellaneous Routes -- 5.2 Brief Inventory of Renewable Polymers -- 5.3 Polyethylene -- 5.3.1 Renewable Polyethylene -- 5.3.2 Reminder of Fossil-Sourced Polyethylene General Properties…”

Tabla de Contenidos: “…International reserves in months of import -- International reserve and short-term debt -- International reserve and broad money -- 8.4 Data Description -- 8.5 Empirical Models and Results -- 8.6 Conclusion -- Acknowledgment -- References -- Part Tow: Market Developments and Governance Issues -- 9 Singapore's Financial Market: Challenges and Future Prospects -- 9.1 Introduction -- 9.2 Growth of the Financial Sector -- 9.2.1 Singapore's Financial Sector Success Factors -- 9.2.2 The Development, Regulatory, and Supervisory Phases -- The development phase -- The regulatory phase -- The supervisory phase -- 9.3 The Prospects -- 9.4 The Challenges -- 9.4.1 The Flood, the Reservoir, and Finance -- 9.4.2 High-Frequency Trading and H -- 9.4.3 Asian Crisis: Lesson Learned -- 9.4.4 Spain's Banking Crisis -- 9.5 The Instability Paradox -- 9.6 Micro- and Macroprudential Policies -- 9.7 Conclusion -- References -- 10 Wealth Management: A Comparison of Switzerland, Singapore, and Hong Kong -- 10.1 Introduction -- 10.2 Switzerland -- 10.3 Singapore -- 10.4 Hong Kong -- 10.5 A Comparison of Switzerland, Singapore, and Hong Kong -- 10.6 Voices of Practitioners in Singapore -- 10.7 Conclusion -- References -- 11 Asian Market Reactions to US Macroeconomic News Surprises -- 11.1 Introduction -- 11.2 Data -- 11.2.1 Stock Market Data -- 11.2.2 Announcement Data -- 11.3 Methodology -- 11.4 Empirical Results -- 11.5 Conclusion -- Acknowledgment -- References -- 12 Monetary Policy in Taiwan: The Implications of Liquidity -- 12.1 Introduction -- 12.2 Financial Innovation and the Divisia Monetary Aggregate in Taiwan -- 12.3 Data and Methodology -- 12.3.1 Divisia Aggregation -- 12.3.2 Divisia Money and the Official Aggregates -- 12.3.3 Data -- 12.4 Results and Discussions -- 12.4.1 Data Selection -- 12.4.2 VAR Identification -- 12.5 Conclusion -- References…”

Tabla de Contenidos: “…4.20 JavaScript Security -- 4.20.1 File Handling and Execution -- 4.20.2 Same Origin Policy -- 4.20.3 Pop-up Windows -- 4.20.4 History -- 4.20.5 Mail through a Form -- 4.20.6 Server Restriction -- 4.21 Closing Observations on JavaScript -- 4.21.1 Client Side Compatibility -- 4.21.2 Unobtrusive JavaScript -- 4.22 Summary -- Exercises -- Project Activities -- Caselet Activity -- Chapter 5: The Server Side -- 5.1 A Broad Outline -- 5.2 Behind the Scenes -- 5.3 Client Side vs. …”

Tabla de Contenidos: “…4.7.3 Using Your Brain Effectively and Absurdly -- 4.7.4 Mind Mapping -- 4.7.5 Group Creativity -- 4.7.6 Focus Groups -- 4.7.7 Brainstorming -- 4.7.8 Reverse Brainstorming -- 4.7.9 Synectics -- 4.7.10 The Gordon Method -- 4.7.11 Scientific Method -- 4.7.12 Value Analysis -- 4.7.13 Problem Inventory Analysis -- 4.7.14 Checklist Method -- 4.7.15 Free Association -- 4.7.16 Forced Relationships -- 4.7.17 Attribute Listing -- 4.7.18 Reversal -- 4.7.19 Scamper -- 4.7.20 Collective Notebook Method -- 4.7.21 Big Dream Approach -- 4.8 A Good Idea is not Enough -- Key Concepts -- Endnotes -- References -- Conceptual Questions -- Critical Thinking Questions -- Case 4.1: Creativity in Start-UPS -- Case 4.2: Innovation: Creating and Defending New Sources of Value -- Chapter 5: Idea to Opportunity -- Learning Objectives -- 5.1 Introduction -- 5.2 Opportunity-Definition -- 5.3 Opportunity Recognition -- 5.4 Opportunity Process -- 5.5 Sources of Opportunity -- 5.5.1 Broad Categories of Change -- 5.5.2 Enhancement, Extensions and Specializations to Create Opportunities -- 5.6 Indian Economy-Opportunities -- 5.7 Steps Involved in Assessing Business Potential of an Idea -- 5.7.1 Idea Stage -- 5.7.2 Concept Stage of an Idea -- 5.7.3 Product Development Stage -- 5.7.4 Test Marketing Stage -- 5.8 Steps Involved in Tapping Opportunity -- 5.8.1 Seizing the Opportunity -- 5.8.2 Evaluating Opportunity -- 5.8.3 Understanding the Timeframe -- 5.8.4 Computing the Worth of an Opportunity -- 5.8.5 Establishing Need Through Preliminary Market Research -- 5.8.6 Market Research-Data Collection and Analysis -- 5.8.7 Identifying the Need for Partners, if Any -- 5.8.8 Identifying Resources Required and Sources to Acquire -- 5.8.9 Managing the Venture -- Key Concepts -- Endnotes -- References -- Conceptual Questions -- Critical Thinking Questions -- Case 5.1: Reusable Diaper…”

Tabla de Contenidos: “…Ormsbee, Vincent Miller, Caitlin Sheridan and Feng He / Protein-Pacing and Multi-Component Exercise Training Improves Physical Performance Outcomes in Exercise-Trained Women: The PRISE 3 Study, Reprinted from: Nutrients 2016, 8(6), 332; doi: 10.3390/nu8060332 -- Mauricio Castro-Sepulveda, Neil Johannsen, Sebastián Astudillo, Carlos Jorquera, Cristian Álvarez, Hermann Zbinden-Foncea and Rodrigo Ramírez-Campillo Effects of Beer, Non-Alcoholic Beer and Water Consumption before Exercise on Fluid and / Electrolyte Homeostasis in Athletes, Reprinted from: Nutrients 2016, 8(6), 345; doi: 10.3390/nu8060345 -- Kelly Pritchett, Robert Pritchett, Dana Ogan, Phil Bishop, Elizabeth Broad and Melissa LaCroix / 25(OH)D Status of Elite Athletes with Spinal Cord Injury Relative to Lifestyle Factors, Reprinted from: Nutrients 2016, 8(6), 374; doi: 10.3390/nu8060374 -- Malgorzata Michalczyk, Milosz Czuba, Grzegorz Zydek, Adam Zajac and Józef Langfort / Dietary Recommendations for Cyclists during Altitude Training, Reprinted from: Nutrients 2016, 8(6), 377; doi: 10.3390/nu8060377 -- Daniel König, Denise Zdzieblik, Anja Holz, Stephan Theis and Albert Gollhofer / Substrate Utilization and Cycling Performance Following PalatinoseTM Ingestion: A Randomized, Double-Blind, Controlled Trial, Reprinted from: Nutrients 2016, 8(7), 390; doi: 10.3390/nu8070390 -- Daniel A. …”

Tabla de Contenidos: “…11.3 REINFORCEMENT METHODS FOR BATHTUBS -- Chapter 12 Thermoforming and Milling of Large-Scale Formed Parts (Sheet Machine) -- 12.1 SURFACE PROBLEMS -- 12.1.1 The Avoidance of Chill Marks -- 12.2 MOLD SHRINKING AND FREE SHRINKAGE -- 12.3 EXPANSION -- 12.4 THE DECISION BETWEEN POSITIVE OR NEGATIVE FORMING -- 12.5 TWIN-SHEET FORMING -- 12.6 AUTOMATION -- 12.6.1 Comparison of Semi-Automatic and Fully Automatic Thermoforming Lines -- 12.6.2 Further Treatment of Large-Scale Thermoformed Parts -- Chapter 13 Changeover of Sheet Machines -- 13.1 THE INCREASING IMPORTANCE OF THE CHANGEOVER PROCEDURE -- 13.1.1 Quick Clamping System for Molds -- 13.1.2 The Infinitely Adjustable Clamping Frame -- 13.1.3 The Infinitely Adjustable Window Plate System -- 13.1.4 Quick and Efficient Heating (Halogen Heater Elements) -- 13.1.5 The Programmable Axes -- 13.1.6 Mold Change Machine -- 13.2 SHORTENING OF CHANGEOVER WITH HIGH-QUALITY EQUIPMENT -- Chapter 14 Chromed Parts -- Chapter 15 Applications in Aircraft and Mass Transportation -- 15.1 CURRENT GOVERNMENT AND OEM SPECIFICATIONS FOR FLAMMABILITY -- 15.1.1 FAR 25.853a, i and ii -- 15.1.2 FAR 25.853d -- 15.1.3 Toxicity -- 15.2 USE OF ACRYL/PVC -- 15.3 POLYCARBONATE -- 15.3.1 Broad Compliance -- 15.3.2 Outstanding Aesthetics -- 15.3.3 Low Weight -- 15.3.4 Improved Processing and Part Design -- 15.3.5 An Expanding Range of Applications -- 15.3.6 Case Study3 -- 15.4 POLYETHERIMIDE (PEI) -- 15.4.1 PEI Sheets for Aircraft and Passenger Train Interiors4 -- 15.5 POLYPHENYLSULFONE (PPSU) -- Chapter 16 High-Quality and Fully Transparent Products (Sheet Machines) -- 16.1 THICK AND SELF-SUPPORTING CLASS-A FORMED PARTS -- 16.2 CLASS-A MOLDED PARTS FOR IN-MOLD DECORATION -- 16.3 DEVELOPMENT OF FULLY TRANSPARENT PRODUCTS -- 16.3.1 Material -- 16.3.2 Creation of the Environment -- Chapter 17 Deco Molding and Multi-deco Molding…”

Tabla de Contenidos: “…Chapter 5 Deep Learning Algorithms and Architectures for Multimodal Data Analysis -- 5.1 Introduction to Multimodal Data Analysis -- 5.2 Overview of Deep Learning Algorithms and Architectures -- 5.2.1 Pre-Processing of the Multimodal Data -- 5.2.2 The Training Process of Deep Learning Models on Multimodal Data -- 5.2.3 Deep Learning Methods and Blockchain Technology Consortium -- 5.3 Conclusion and Future Directions -- Abbreviations -- References -- Chapter 6 Deep Learning Algorithms: Clustering and Classifications for Multimedia Data -- 6.1 Introduction -- 6.1.1 Deep Learning and Its Applications in Multimedia Data Analysis -- 6.1.2 Classification Algorithms in Deep Learning Can Be Broadly Classified into the Following Categories -- 6.1.3 Deep Learning for Clustering Multimedia Data -- 6.1.4 Types of Clustering -- 6.1.5 Classification of Clustering Algorithms in Deep Learning -- 6.1.6 List of More Comprehensive Deep Learning Clustering Algorithms -- 6.2 Deep Clustering Algorithm Challenges and the Multimedia Data -- 6.2.1 Convolutional Autoencoders for Clustering Images -- 6.2.2 Deep Convolutional Embedded Clustering for Clustering Images -- 6.2.3 Multimodal Deep Embedded Clustering for Clustering Multimodal Data -- 6.2.4 Case Studies - The Effectiveness of Deep Learning for Clustering Multimodal Data -- 6.3 Deep Learning for Classification of Multimedia Data -- 6.3.1 Incorporating Multimodal Data for Improving Classification Performance -- 6.4 Blockchain Technology and Deep Learning Algorithms in the Context of Multimodal Data -- 6.4.1 Cross-Border Blockchain Technology and Deep Learning Methods -- 6.4.2 Key Attributes of Cross-Border Blockchain Technology -- 6.4.3 Cross-Border and Deep Learning Multimodal Blockchain Technology -- 6.4.4 Future Trends and Applications of the Blockchain and Deep Learning -- 6.5 Conclusion -- Abbreviations…”

“…Perishable Material Culture in Prehistory provides new approaches and integrates a broad range of data to address a neglected topic, organic material in the prehistoric record. …”

“…The Political Economy Program examines the interactions among political institutions, participants in the political system, such as voters and elected officials, and economic outcomes broadly defined…”

Tabla de Contenidos: “…Front Cover -- Lossless Information Hiding in Images -- Lossless InformationHiding in Images -- Copyright -- Contents -- Preface -- 1 - Introduction -- 1.1 BACKGROUND -- 1.1.1 DEFINITION OF IMAGES -- 1.1.1.1 Images -- 1.1.1.2 Digital Images -- 1.1.2 IMAGE PROCESSING AND IMAGE ANALYSIS -- 1.1.2.1 Image Processing in a Broad Sense -- 1.1.2.2 Image Processing in a Narrow Sense -- 1.1.2.2.1 Image Enhancement -- 1.1.2.2.2 Image Restoration -- 1.1.2.2.3 Image Compression -- 1.1.2.3 Image Analysis -- 1.1.3 NETWORK INFORMATION SECURITY -- 1.1.4 IMAGE PROTECTION AND IMAGE AUTHENTICATION -- 1.1.4.1 Image Protection -- 1.1.4.2 Image Authentication -- 1.2 OVERVIEW OF INFORMATION HIDING -- 1.2.1 BASIC CONCEPTS RELATED TO INFORMATION HIDING -- 1.2.2 PROPERTIES AND REQUIREMENTS OF INFORMATION HIDING -- 1.2.3 INFORMATION HIDING MODELS -- 1.2.3.1 Prisoner's Model -- 1.2.3.2 General Model -- 1.2.3.3 Communication-Based Models -- 1.2.4 RESEARCH BRANCHES OF INFORMATION HIDING -- 1.2.4.1 Steganography -- 1.2.4.2 Copyright Marking -- 1.2.4.3 Covert Channel -- 1.2.4.4 Subliminal Channel -- 1.2.4.5 Anonymous Communication -- 1.2.5 CLASSIFICATION OF INFORMATION HIDING TECHNOLOGIES -- 1.2.5.1 Classification According to the Types of Cover Objects -- 1.2.5.2 Classification According to the Symmetry of Keys -- 1.2.5.3 Classification According to the Embedding Domains -- 1.2.5.4 Classification Based on Other Ways -- 1.2.6 APPLICATIONS OF INFORMATION HIDING TECHNIQUES -- 1.2.6.1 Covert Communication -- 1.2.6.2 Broadcast Monitoring -- 1.2.6.3 Owner Identification -- 1.2.6.4 Ownership Verification -- 1.2.6.5 Transaction Tracking -- 1.2.6.6 Content Authentication -- 1.2.6.7 Annotation -- 1.2.6.8 Copy Control -- 1.2.6.9 Device Control -- 1.3 OVERVIEW OF IMAGE CODING AND COMPRESSION TECHNIQUES -- 1.3.1 SOURCE CODING AND DATA COMPRESSION -- 1.3.2 LOSSLESS IMAGE CODING TECHNIQUES…”

Tabla de Contenidos: “…Rice Husk, andPineapple Waste for Fabrication of Super Capacitor -- 9.5 Factors Contributing in the Fabrication of Super Capacitor from Agro Waste -- 9.6 Conclusion -- Acknowledgment -- References -- 10 Computational Intelligence Techiques for Optimization in Networks Ashu Gautam and Rashima Mahajan -- 10.1 Introduction Focussing on Pedagogy of Impending Approach -- 10.1.1 Security Challenge in Networks -- 10.1.2 Attacks Vulnerability in Complex Networks -- 10.2 Relevant Analysis -- 10.3 Broad Area of Research -- 10.3.1 Routing Protocols -- 10.3.2 Hybrid Protocols -- 10.4 Problem Identification -- 10.5 Objectives of the Study -- 10.6 Methodology to be Adopted -- 10.7 Proposed/Expected Outcome of the Research -- References -- 11 R&D Export and ICT Regimes in India Zeba -- 11.1 Introduction -- 11.2 Artificial Intelligence: the ..…”