Tabla de Contenidos: “…Chapter 7: Artificial intelligence-driven radio channel capacity in 5G and 6G wireless communication systems in the presence of vegetation: Prospect and challenges -- 7.1 Introduction -- 7.2 Radio wave attenuation due to vegetation -- 7.3 Embedded architecture: AI-DR vegetation attenuation prediction system -- 7.4 SCC prediction -- 7.5 Conclusions -- Acknowledgments -- References -- Chapter 8: Smart cabin for office using embedded systems and sensors -- 8.1 Introduction -- 8.1.1 Smart office -- 8.1.2 Motivation -- 8.1.3 Objectives -- 8.2 Cabin security -- 8.2.1 Fingerprint verification -- 8.2.2 Face verification -- 8.2.3 Speech verification -- 8.3 Ambiance monitor -- 8.3.1 Temperature and relative humidity -- 8.3.2 Carbon dioxide -- 8.3.3 Total volatile organic compound (TVOC) -- 8.3.4 Air pressure -- 8.3.5 Dust level -- 8.4 Well-being monitor -- 8.4.1 Physical health -- 8.4.2 Mental health -- 8.4.2.1 Fatigue state -- 8.4.2.2 Emotional state -- 8.5 Data transmission and display -- 8.6 Results -- 8.7 Conclusion -- Acknowledgments -- References -- Chapter 9: Wireless protocols for swarm of sensors: Sigfox, Lorawan, and Nb-IoT -- 9.1 Introduction -- 9.1.1 Basic communication infrastructure -- 9.2 Sigfox -- 9.2.1 Overview -- 9.2.2 Regions of operation -- 9.2.3 Technical characteristics -- 9.2.4 Sigfox diversity -- 9.2.5 Network architecture -- 9.2.6 Message system -- 9.2.7 Summary of characteristics -- 9.3 Lorawan -- 9.3.1 Overview -- 9.3.2 Characteristics -- 9.3.3 Uplink and downlink communication -- 9.3.4 Classes of operation -- 9.3.5 Network architecture -- 9.3.6 Message system -- 9.3.7 Characteristics summary -- 9.4 Nb-IoT -- 9.4.1 Overview -- 9.4.2 Characteristics -- 9.4.3 Message system -- 9.5 Conclusion -- References -- Chapter 10: Design and test of thermal energy harvester for self-powered autonomous electronic load -- 10.1 Introduction…”

Tabla de Contenidos: “…Performance fees -- 3.3.3. Impact of the volatility in the rate of return -- 3.4. Implications of different fee structures for providers at the aggregate level -- 3.4.1. …”

“…Fiscal deficits have fallen from 11 per cent of public revenues in the 1970s and 1980s, to only 8 per cent since 2000. The year-to-year volatility of taxes, spending and deficits – long a feature of fiscal policy making in the region with harmful effects for economic performance – has likewise fallen: an index of deficit volatility calculated by the OECD Latin American Economic Outlook 2009 shows a fall of a third from 1990-94 to 2000-06, with Latin America standing just 6 per cent above the volatility levels in OECD countries in the latter period…”

“…It is generally asserted that markets of internationally traded agricultural commodities are thin and more volatile, but with little supporting evidence. For internationally traded agricultural products, it is not clear what constitutes “thin” markets and how this “thinness” contributes to price volatility. …”

“…In this dense webcast Juval Lowy will explain his approach to large system analysis and design, using volatility to decompose a system into its comprising services. …”

“…These regime changes have been accompanied by lower volatility in the monetary stance in Brazil, Colombia and Mexico, despite higher inflation volatility in Brazil and Colombia. …”

“…The document presents standard approaches for estimating the environmental releases of and occupational exposures to non-volatile chemicals used in dye formulations…”

“…This paper analyses the factors influencing the level and volatility of real house prices in a panel of OECD countries over the period 1980-2005. …”

“…Tap into the power of the most popular stochastic volatility model for pricing equity derivatives Since its introduction in 1993, the Heston model has become a popular model for pricing equity derivatives, and the most popular stochastic volatility model in financial engineering. …”

“…The analysis shows that GDP is more volatile in the phase of deleveraging. However, countries can be distinguished into two groups. …”

Tabla de Contenidos: “…Gestión de riesgos agrícolas en un entorno volátil -- 8.1. Introduccion -- 8.2. Evaluación del riesgo -- 8.3. …”

Tabla de Contenidos: “…Pollution atmosphérique transfrontière -- Oxydes de soufre -- Oxydes d'azote -- Composés organiques volatils -- Transport à grande distance de polluants atmosphériques -- 5. …”

Tabla de Contenidos: “…Coopération bilatérale et régionale -- Cadres de la coopération -- Pollution des cours d'eau -- La Moselle -- Autres rivières transfrontières -- Coopération paneuropéenne - Lutte contre la pollution transfrontière de l'air -- Dépôts acides -- Tableau 7.1 Dépôts acides -- Tableau 7.2 Protection de l'atmosphère : engagements internationaux -- Oxydes de soufre -- Oxydes d'azote -- Composés organiques volatils -- Métaux lourds et polluants organiques persistants -- 3. …”

Tabla de Contenidos: “…4.2.5 Risk Assessment Code of Heavy Metals in Most Polluted Waste -- 4.3 LEACHING TOXICITY OF C&amp -- D WASTE FROM DIFFERENT SOURCES -- 4.4 CHARACTERISTICS OF ORGANIC POLLUTANTS IN MULTICONTAMINATED INDUSTRIAL C&amp -- D WASTE -- 4.4.1 PAH Existence and Its Distribution -- 4.4.2 Existence of Volatile Organic Compounds in Industrial Waste From Pesticide Manufacturing Plants -- 4.4.3 A Comprehensive Study on Characterization of Organophosphorus Pesticides-Contaminated Waste -- 4.4.4 Existence of Organophosphorus Pesticides in C&amp -- D Waste From Exterior Plant -- 4.4.5 Distribution and Possible Sources of Organic Pollutants Based on Practical and Statistical Analysis -- 4.4.6 Factors Affecting Concentration of Pollutants Among C&amp -- D Waste -- 4.4.7 Hierarchical Cluster Analysis -- 4.4.8 Principal Component Analysis -- 4.5 ENVIRONMENTAL RISK OF INDUSTRIAL C&amp -- D WASTE IN ORGANOPHOSPHORUS PESTICIDE MANUFACTURING PLANT -- 4.5.1 Analysis of Contaminated Industrial C&amp -- D Waste and Its Evaluation -- 4.5.2 Exposure Pathways and Variables for Industrial C&amp -- D Waste -- 4.5.2.1 Exposure Pathways Analysis -- 4.5.2.2 Exposure Quantification -- 4.5.3 Toxicity Values of Existing Pollutants -- 4.5.4 Risk Evaluation of Industrial C&amp -- D Waste in Pesticide Manufacturing Plant -- 4.6 CYANIDE-CONTAMINATED C&amp -- D WASTE GENERATED IN A FIRE/EXPLOSION ACCIDENT -- Five - Pollution Mechanism of Contaminated Construction and Demolition Waste -- 5.1 STATIC CONTAMINATION PROCESS OF HEAVY METALS -- 5.1.1 pH Variation During Static Contamination Process -- 5.1.2 Absorptive Capacity Variation of Single Heavy Metal Solution -- 5.1.3 Absorptive Capacity Variation of Mixed Heavy Metal Solution -- 5.2 DEPTH OF CONTAMINATION THROUGH SURFACE CONTACT -- 5.2.1 pH Variation During Surface Contact -- 5.2.2 Variation of Heavy Metals Concentrations in Solution…”

Tabla de Contenidos: “…Chapter 8 - Electrospinning and surface modification methods for functionalized cell scaffolds -- 1 - Electrospinning for Tissue Engineering -- 2 - Fundamentals of the Electrospinning Process -- 2.1 - Polymer Solution Parameters -- 2.1.1 - Polymer concentration -- 2.1.2 - Solvent volatility -- 2.1.3 - Solution conductivity -- 2.2 - Process Parameters -- 2.2.1 - Applied voltage -- 2.2.2 - Polymer flow rate -- 2.2.3 - Tip-collector distance -- 2.3 - Electrospun Fiber Materials -- 2.3.1 - Poly(glycolic acid) (PGA) -- 2.3.2 - Poly(lactic acid) (PLA) -- 2.3.3 - Poly(ε-caprolactone) (PCL) -- 2.3.4 - Poly(2-methacryloyloxyethyl phosphorylcholine) (PMPC) -- 2.3.5 - Collagen -- 2.3.6 - Elastin -- 3 - Tuning the Morphology of Electrospun Scaffolds and its Effects on Cell Behavior -- 3.1 - Fiber Uniformity -- 3.2 - Fiber Diameter -- 3.3 - Fiber Orientation -- 3.4 - Pore Size of Electrospun Scaffold -- 4 - Surface Modification Methods of Electrospun Nanofibers -- 4.1 - Loading Biomolecules -- 4.1.1 - Physical surface adsorption -- 4.1.2 - Blend electrospinning -- 4.1.3 - Core-shell electrospinning -- 4.1.4 - Covalent immobilization of bioactive molecules -- 4.2 - Plasma Treatment -- 4.3 - Surface Graft Copolymerization -- 5 - Conclusions -- References -- Chapter 9 - Short peptide self-assembled nanostructures for therapeutics innovative delivery -- 1 - Introduction -- 1.1 - The Advantages of Nanomaterials -- 1.2 - Self-Assembling Short Peptides as Nanomaterial Building Blocks -- 1.3 - Self-Assembling Short Peptides for Drug Delivery -- 2 - Preparation and Characterization of Self-Assembling Short Peptides -- 2.1 - Preparation of Short Peptides -- 2.2 - Characterization of Self-Assembling Short Peptides -- 3 - Drug-Delivery Applications -- 3.1 - Supramolecular Hydrogels as Systems for Drug Delivery…”

Tabla de Contenidos: “…8.4 Microbial oil production in fed-batch cultures -- 8.5 Biodiesel production from microbial oil -- 8.5.1 Biodiesel properties -- 8.5.2 Direct versus indirect transesterification of microbial oil -- 8.6 Techno-economic evaluation of biodiesel production from microbial oil -- 8.7 Perspective of biofuel production from microbial oil -- References -- 9 - Biochemical production of bioalcohols -- 9.1 Introduction -- 9.2 Types of biomass for bioalcohol production -- 9.2.1 Characteristics of biomass -- 9.2.2 Availability of biomass -- 9.2.3 Processing of biomass -- 9.3 Bioalcohols -- 9.3.1 Types of bioalcohols -- 9.3.2 Biomethanol -- 9.3.3 Bioethanol -- 9.3.4 Biobutanol -- 9.3.5 Biopropanol -- 9.4 New technologies for bioethanol production -- 9.4.1 Development of new energy crops and alternative feedstocks -- 9.4.1.1 High fermentable corn (HFC) hybrids -- 9.4.1.2 Corn with endogenous alpha-amylase -- 9.4.1.3 Oil-producing sugarcane (lipidcane) -- 9.4.1.4 Food waste -- 9.4.2 Technologies to reduce substrate and product inhibition -- 9.4.2.1 Granular starch hydrolyzing (GSH) enzymes (reducing substrate inhibition) -- 9.4.2.2 In situ ethanol stripping using vacuum (reducing product inhibition) -- Acknowledgments -- References -- 10 - Production of biogas via anaerobic digestion -- 10.1 Introduction -- 10.1.1 The principles of the anaerobic digestion process -- 10.2 Factors affecting the anaerobic digestion process -- 10.2.1 Temperature -- 10.2.2 pH, free ammonia, and volatile fatty acids -- 10.2.3 Feedstock composition -- 10.3 Advantages and limitations -- 10.4 Reactor configurations -- 10.5 Methods for enhancing the efficiency of anaerobic digestion -- 10.5.1 Pretreatments -- 10.5.1.1 Mechanical pretreatments -- 10.5.1.2 Thermal pretreatments -- 10.5.1.3 Chemical pretreatments -- 10.5.1.4 Biological pretreatments -- 10.5.2 Anaerobic codigestion…”

Tabla de Contenidos: “…La croissance renforce l'inclusion sociale mais demeure volatile -- Graphique 3. Les facteurs de vulnérabilité externes sont importants et ont augmenté depuis la crise financière mondiale -- Utiliser les politiques macroéconomiques pour remédier aux déséquilibres -- Tableau 1. …”

Tabla de Contenidos: “…Reprinted from: Molecules 2014, 19(9), 15075-15087 http://www.mdpi.com/1420-3049/19/9/15075 -- Article: Influence of Post-Treatment Operations on Structural Properties and Photocatalytic Activity of Octahedral Anatase Titania Particles Prepared by Zhishun Wei, Ewa Kowalska and Bunsho Ohtani an Ultrasonication-Hydrothermal Reaction Reprinted from: Molecules 2014, 19(12), 19573-19587 http://www.mdpi.com/1420-3049/19/12/19573 -- Takashi Kamegawa, Yasushi Ishiguro, Ryota Kido and Hiromi Yamashita Article: Design of Composite Photocatalyst of TiO2 and Y-Zeolite for Degradation of 2-Propanol in the Gas Phase under UV and Visible Light Irradiation Reprinted from: Molecules 2014, 19(10), 16477-16488 http://www.mdpi.com/1420-3049/19/10/16477 -- Dmitry Selishchev and Denis Kozlov Article: Photocatalytic Oxidation of Diethyl Sulfide Vapor over TiO2-Based Composite Photocatalysts Reprinted from: Molecules 2014, 19(12), 21424-21441 http://www.mdpi.com/1420-3049/19/12/21424 -- Atsuo Yasumori, Sayaka Yanagida and Jun Sawada Article: Preparation of a Titania/X-Zeolite/Porous Glass Composite Photocatalyst Using Hydrothermal and Drop Coating Processes Reprinted from: Molecules 2015, 20(2), 2349-2363 http://www.mdpi.com/1420-3049/20/2/2349 -- Cooper Langford, Maryam Izadifard, Emad Radwan and Gopal Achari Article: Some Observations on the Development of Superior Photocatalytic Systems for Transfer Mechanisms Application to Water Purification by the "Adsorb and Shuttle" or the Interphase Charge Reprinted from: Molecules 2014, 19(12), 19557-19572 http://www.mdpi.com/1420-3049/19/12/19557 -- Sifani Zavahir and Huaiyong Zhu Article: Visible Light Induced Green Transformation of Primary Amines to Imines Using a Silicate Supported Anatase Photocatalyst Reprinted from: Molecules 2015, 20(2), 1941-1954 http://www.mdpi.com/1420-3049/20/2/1941 -- Pushkar Kanhere and Zhong Chen Review: A Review on Visible Light Active Perovskite-Based Photocatalysts Reprinted from: Molecules 2014, 19(12), 19995-20022 http://www.mdpi.com/1420-3049/19/12/19995 -- Yossy Wicaksana, Sanly Liu, Jason Scott and Rose Amal Article: Tungsten Trioxide as a Visible Light Photocatalyst for Volatile Organic Carbon Removal Reprinted from: Molecules 2014, 19(11), 17747-17762 http://www.mdpi.com/1420-3049/19/11/17747 -- Beata Bajorowicz, Anna Cybula, Michal J. …”

Tabla de Contenidos: “…Intro -- Cover -- Contents -- Preface -- List of Contributors -- Part 1: Process Fundamentals -- Chapter 1 : Algal systems for resource recovery from waste and wastewater -- 1.1 Process Fundamentals -- 1.2 Algal-Based Wastewater Treatment -- 1.3 Valorization of Algal Biomass by Integrating with Different Technologies -- 1.4 Algal Biotechnology -- References -- Chapter 2 : Metabolic modelling of microalgae for wastewater treatment -- 2.1 Introduction -- 2.2 Main Metabolic Pathways -- 2.2.1 Photosynthesis -- 2.2.2 Glycolysis and pentose phosphate pathway -- 2.2.3 Tricarboxylic acid cycle -- 2.2.4 Glyoxylate shunt -- 2.2.5 Lipid biosynthesis -- 2.3 Genome-Scale Metabolic Models -- 2.4 Modelling Metabolic Networks -- 2.5 Tools for Steady-State Conditions -- 2.5.1 Elementary flux modes -- 2.5.1.1 Mathematical construction of EFMs -- 2.5.1.2 Minimal generating sets and EFM reduction -- 2.5.2 Flux balance analysis -- 2.6 Metabolic Networks Reduction -- 2.6.1 The DRUM framework -- 2.7 Case Study: Microalgae Cultivation -- 2.7.1 Introduction: volatile fatty acid -- 2.7.2 Determination of the subnetworks and accumulating metabolites -- 2.7.3 Derivation of MR -- 2.7.4 Choice of kinetic model -- 2.7.5 Model calibration and validation -- 2.7.6 Example of application: optimization of waste treatment time -- 2.8 Conclusion -- References -- Chapter 3 : Wastewater treatment using microalgal-bacterial consortia in the photo-activated sludge process -- 3.1 Microalgal-Bacterial Consortia -- 3.1.1 Use of microalgal-bacterial consortia in environmental technologies -- 3.1.2 Interactions within microalgal-bacterial consortia -- 3.1.3 Nutrient removal by microalgal-bacterial consortia -- 3.1.4 Microalgal-bacterial systems and configurations…”

Tabla de Contenidos: “…Appendix F Extension: Effort Monitoring and Worker Termination -- References -- References for Appendices -- 4 Heterogeneous Agents in the Macroeconomy: Reduced-Heterogeneity Representations -- 1 Introduction -- 2 The Economic Problem and Notations -- 2.1 The Model -- 2.2 Equilibrium De nition and Intuition to Reduce the State Space -- 3 No-Trade Equilibria -- 3.1 No-Trade Equilibria with Transitory Shocks -- 3.1.1 Assumptions -- 3.2 Preserving Time-Varying Precautionary Saving in the Linear Model -- 3.3 No-Trade Equilibrium with Permanent Shocks -- 4 Small-Heterogeneity Models -- 4.1 Models Based on Assumptions About Labor Supply -- 4.1.1 Assumptions -- 4.1.2 Equilibrium Structure -- 4.1.3 The System -- 4.1.4 Algorithm: Finding the Value of L -- 4.1.5 Simulations -- 4.1.6 References and Limits -- 4.2 Models Based on Linearity in the Period Utility Function -- 4.2.1 Assumptions -- 4.2.2 Equilibrium Structure -- 4.2.3 Using Reduced Heterogeneity to Model Wealth Inequality over the Business Cycle -- 4.2.4 Other References and Remarks -- 4.3 Models Based on a "Family" Assumption -- 4.3.1 Assumptions -- 4.3.2 Equilibrium Structure -- 4.3.3 Algorithm and Simulations -- 4.3.4 Example of Quantitative Work -- 4.4 Assessment of Small-Heterogeneity Models -- 5 Truncated-History Models -- 5.1 Assumptions -- 5.2 Equilibrium Structure -- 5.3 Equations of the Model -- 5.4 Algorithm for the Steady State -- 5.5 Dynamics -- 5.6 Choosing the Preference Shifters ξeN -- 5.7 Numerical Example -- 6 Optimal Policies -- 7 Comparison with Other Approach Using Perturbation Methods -- 8 Heterogeneous Expectations -- 9 Concluding Remarks -- References -- Part 2 Finance -- 5 Heterogeneous Agent Models in Finance -- 1 Introduction -- 2 HAMs of Single Asset Market in Discrete-Time -- 2.1 Market Mood and Adaptive Behavior -- 2.2 Volatility Clustering: Calibration and Mechanisms…”