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Emerging Cyber Threats and Cognitive Vulnerabilities identifies the critical role human behavior plays in cybersecurity and provides insights into how human decision-making can help address rising volumes of cyberthreats. The book examines the role of psychology in cybersecurity by addressing each actor involved in the process: hackers, targets, cybersecurity practitioners and the wider social context in which these groups operate. It applies psychological factors such as motivations, group processes and decision-making heuristics that may lead individuals to underestimate risk. The goal of this understanding is to more quickly identify threat and create early education and prevention strategies. This book covers a variety of topics and addresses different challenges in response to changes in the ways in to study various areas of decision-making, behavior, artificial intelligence, and human interaction in relation to cybersecurity.Explains psychological factors inherent in machine learning and artificial intelligenceDiscusses the social psychology of online radicalism and terrorist recruitmentExamines the motivation and decision-making of hackers and "hacktivists"Investigates the use of personality psychology to extract secure information from individuals

High-Performance Elastomeric Materials Reinforced by Nanocarbons: Multifunctional Properties and Industrial Applications provides detailed information on the latest techniques and state-of-the-art developments regarding elastomeric materials reinforced by nano-carbon. The book supports academic researchers and postgraduate students who are looking to further advance the research and study of high-performance, multifunctional materials. In addition, it enables those in industry to improve manufacture and end products by using these materials.Enables the reader to understand the latest advanced applications of high-performance elastomers reinforced by nano-carbonsUnlocks the door to essential properties for harsh environments, such as thermal conductivity, oil resistance, permeability, de-icing, and cracking resistanceCovers the processability of elastomers reinforced by nano-carbons, including extrusion, compression, molding methods and techniques

2D Semiconductor Materials and Devices reviews the basic science and state-of-art technology of 2D semiconductor materials and devices. Chapters discuss the basic structure and properties of 2D semiconductor materials, including both elemental (silicene, phosphorene) and compound semiconductors (transition metal dichalcogenide), the current growth and characterization methods of these 2D materials, state-of-the-art devices, and current and potential applications.Reviews a broad range of emerging 2D electronic materials beyond graphene, including silicene, phosphorene and compound semiconductorsProvides an in-depth review of material properties, growth and characterization aspects-topics that could enable applicationsFeatures contributions from the leading experts in the field

Handbook of Medical Image Computing and Computer Assisted Intervention presents important advanced methods and state-of-the art research in medical image computing and computer assisted intervention, providing a comprehensive reference on current technical approaches and solutions, while also offering proven algorithms for a variety of essential medical imaging applications. This book is written primarily for university researchers, graduate students and professional practitioners (assuming an elementary level of linear algebra, probability and statistics, and signal processing) working on medical image computing and computer assisted intervention.Presents the key research challenges in medical image computing and computer-assisted intervention Written by leading authorities of the Medical Image Computing and Computer Assisted Intervention (MICCAI) SocietyContains state-of-the-art technical approaches to key challengesDemonstrates proven algorithms for a whole range of essential medical imaging applicationsIncludes source codes for use in a plug-and-play mannerEmbraces future directions in the fields of medical image computing and computer-assisted intervention

Wine Science: Principles and Applications, Fifth Edition, delivers in-depth information and expertise in a single, science-focused volume, including all the complexities and nuances of creating a quality wine product. From variety, to the chemistry that transforms grape to fruit to wine, the book presents sections on the most important information regarding wine laws, authentication, the latest technology used in wine production, and expert-insights into the sensory appreciation of wine and its implications in health. This book is ideal for anyone seeking to understand the science that produces quality wines of every type. Presents thorough explanations of viticulture and winemaking principles from grape to taste budAddresses historical developments in wine production, notably sparkling winesProvides techniques in grapevine breeding, notably CRISPR Compares production methods in a framework that provides insights into the advantages and disadvantages of each

Adverse Childhood Experiences: Using Evidence to Advance Research, Practice, Policy, and Prevention defines ACEs, provides a summary of the past 20 years of ACEs research, as well as provides guidance for the future directions for the field. It includes a review of the original ACEs Study, definitions of ACEs, and how ACEs are typically assessed. Other content includes a review of how ACEs are related to mental and physical health outcome, the neurodevelopmental mechanisms linking ACEs to psychopathology, sexual violence and sexual health outcomes, and violence across the lifespan. Important and contemporary issues in the field, like reconsidering how ACEs should be defined and assessed, the appropriateness of routine ACEs screening, thinking about ACEs from a public health and global perspective, strategies for preventing ACEs, understanding ACEs and trauma-informed care and resilience, and the importance of safe stable and nurturing environments for children are discussed. Adverse Childhood Experiences is a useful evidence-based resource for professionals working with children and families, including physicians, nurses, social workers, psychologists, lawyers, judges, as well as public health leaders, policy makers, and government delegates. Reviews the past 20 years of ACEs researchExamines ACEs and mental and physical healthDiscusses the neurodevelopment mechanisms of ACEs and psychopathologyExamines ACEs and violence across the lifespanReconsiders the definition and assessment of ACEsExamines the issue of routine ACEs screeningDiscusses ACEs from a public health and global perspectiveSummarizes effective ACEs prevention, trauma-informed care, and resilienceProvides recommendations for the future directions of the ACEs field

Applied Plant Biotechnology for Improvement of Resistance to Biotic Stress applies biotechnology insights that seek to improve plant genomes, thus helping them achieve higher resistance and optimal hormone signaling to increase crop yield. The book provides an analysis of the current state-of-the-art in plant biotechnology as applied to improving resistance to biotic stress. In recent years, significant progress has been made towards understanding the interplay between plants and their hosts, particularly the role of plant immunity in regulating, attenuating or neutralizing invading pathogens. As a result, there is a great need to integrate these insights with methods from biotechnology. Applies biotechnology insights towards improving plant genomes, achieving higher resistance and optimizing hormone signaling to increase crop yieldPresents the most modern techniques, investigations, diagnostic tools and assays to monitor and detect contaminating agents in crops, such as grape, tomato, coffee and stone fruitProvides encyclopedic coverage of genes, proteins, interaction networks and mechanisms by which plants and hosts seek survivalDiscusses the methods available to make crops resistant and tolerant to disease without decreased yield or food productionProvides insights for policymakers into the difficulties faced by scientific researchers in the use of biotechnology intervention, transgenes and genetically modified sequences

Biomedical Information Technology, Second Edition, contains practical, integrated clinical applications for disease detection, diagnosis, surgery, therapy and biomedical knowledge discovery, including the latest advances in the field, such as biomedical sensors, machine intelligence, artificial intelligence, deep learning in medical imaging, neural networks, natural language processing, large-scale histopathological image analysis, virtual, augmented and mixed reality, neural interfaces, and data analytics and behavioral informatics in modern medicine. The enormous growth in the field of biotechnology necessitates the utilization of information technology for the management, flow and organization of data. All biomedical professionals can benefit from a greater understanding of how data can be efficiently managed and utilized through data compression, modeling, processing, registration, visualization, communication and large-scale biological computing. Presents the world''s most recognized authorities who give their "best practices" Provides professionals with the most up-to-date and mission critical tools to evaluate the latest advances in the field Gives new staff the technological fundamentals and updates experienced professionals with the latest practical integrated clinical applications

The Microeconomics of Wellbeing and Sustainability: Recasting the Economic Process explores the civil economy tradition in economic thought. Gaining increasing consensus worldwide, this alternative-not heterodox-view of the economic process and agents explains how modern economics is placing increasing emphasis on the determinants of subjective wellbeing and environmental sustainability. With support from behavioral economics, this book makes a foundational contribution that will help users better understand and prepare for future economic challenges.Marries criticism of the neo-classical model with empirical work on the possibilities of alternative frameworks for actionLinks new ideas (homo reciprocans, happiness, relational goods) to established microeconomic concepts (the market, perfect and imperfect competition, utility maximization)Devotes specific attention to relevant elements in economic history, explaining how we evolved to the current paradigm and to its challenge

Transport and Energy Research attempts to answer the question "how to reduce household energy consumption” from a behavioral perspective by citing extensive literature reviews and relevant case studies. It adopts a life-oriented approach that emphasizes cross-domain dependencies with respect to various life choices, but also discusses cross-sectoral collaboration for effective transport and energy policymaking. The book focuses not only on the passenger transport sector, but also on the domestics sector. Topics cover autonomous vehicles, time use across space driven by use of information and communication technologies, social issues associated with both transport and energy, and energy-saving lifestyles. This book is a valuable resource for energy researchers, engineers, managers and planners on the current state of research, giving them the knowledge and tactics necessary to reduce energy consumption at the household level. Examines transport and domestics issues associated with energy from a behavioral perspective in both an interdisciplinary and comprehensive wayOffers an overview of current relevant research and the most recent developmentsProvides rich information about future research trends and innovative insights into effective policymaking

Technology in Supply Chain Management and Logistics: Current Practice and Future Applications analyzes the implications of these technologies in a variety of supply chain settings, including block chain, Internet of Things (IoT), inventory optimization, and medical supply chain. This book outlines how technologies are being utilized for product planning, materials management and inventory, transportation and distribution, workflow, maintenance, the environment, and in health and safety. Readers will gain a better understanding of the implications of these technologies with respect to value creation, operational effectiveness, investment level, technical migration and general industry acceptance. In addition, the book features case studies, providing a real-world look at supply chain technology implementations, their necessary training requirements, and how these new technologies integrate with existing business technologies.Identifies emerging supply chain technologies and trends in technology acceptance and utilization levels across various industry sectorsAssists professionals with technology investment decisions, procurement, best values, and how they can be utilized for logistics operationsFeatures videos showing technology application, including optimization software, cloud computing, mobility, 3D printing, autonomous vehicles, drones and machine learning

Flexible Bayesian Regression Modeling is a step-by-step guide to the Bayesian revolution in regression modeling, for use in advanced econometric and statistical analysis where datasets are characterized by complexity, multiplicity, and large sample sizes, necessitating the need for considerable flexibility in modeling techniques. It reviews three forms of flexibility: methods which provide flexibility in their error distribution; methods which model non-central parts of the distribution (such as quantile regression); and finally models that allow the mean function to be flexible (such as spline models). Each chapter discusses the key aspects of fitting a regression model. R programs accompany the methods. This book is particularly relevant to non-specialist practitioners with intermediate mathematical training seeking to apply Bayesian approaches in economics, biology, finance, engineering and medicine.Introduces powerful new nonparametric Bayesian regression techniques to classically trained practitionersFocuses on approaches offering both superior power and methodological flexibilitySupplemented with instructive and relevant R programs within the textCovers linear regression, nonlinear regression and quantile regression techniques Provides diverse disciplinary case studies for correlation and optimization problems drawn from Bayesian analysis ''in the wild''

Spatiotemporal Analysis of Air Pollution and Its Application in Public Health reviews, in detail, the tools needed to understand the spatial temporal distribution and trends of air pollution in the atmosphere, including how this information can be tied into the diverse amount of public health data available using accurate GIS techniques. By utilizing GIS to monitor, analyze and visualize air pollution problems, it has proven to not only be the most powerful, accurate and flexible way to understand the atmosphere, but also a great way to understand the impact air pollution has in diverse populations. This book is essential reading for novices and experts in atmospheric science, geography and any allied fields investigating air pollution. Introduces readers to the benefits and uses of geo-spatiotemporal analyses of big data to reveal new and greater understanding of the intersection of air pollution and healthTies in machine learning to improve speed and efficacy of data modelsIncludes developing visualizations, historical data, and real-time air pollution in large geographic areas

International Trade and Transportation Infrastructure Development: Experiences in North America and Europe examines the impact of trade agreements, such as the North American Trade Agreement (NAFTA) and the European Union Customs Union, and their relationship to transportation systems and infrastructure in member countries. It analyzes historical trade by mode, evaluating modal shifts due to trade policy and disputes, and their implications for all involved nations. This book also examines both supply and demand trends, reviewing transportation processes, and the stakeholders involved. Capacity development, funding mechanisms, and operational characteristics of each mode are detailed in relation to the policies that influence them. The book reviews recent trends and the impact of disruptive technologies, as well as future potential regulatory changes, with relation to upcoming infrastructure plans, project funding, and operations. This book is an ideal reference for transportation practitioners involved in planning, feasibility studies, consultation and policy for international transportation systems or infrastructure. Academic researchers and graduate students in transportation planning, international relations, and trade will also find this book useful. Compiles in one source up-to-date insights on important public transport themes, issues, and debatesExamines a wide range of public transport topics in the multidisciplinary fields of economics, policy, operations, and planningBridges the gap between scientific research and policy implementation

Extreme Wildfire Events and Disasters: Root Causes and New Management Strategies highlights the urgent need for new methods to prepare and mitigate the effects of these events. Using a multidisciplinary, socio-ecological approach, the book discusses the roots of the problem, presenting a new, innovative approach to wildfire mitigation based on the operational concept of Fire Smart Territory (FST). Under the guidance of its expert editors, the book highlights new ways to prevent and respond to extreme wildfire events and disasters through sustainable development, thus revealing better management methods and increasing protection of both the natural environment and the vulnerable communities within it.Reveals the complexity of extreme wildfire events and disasters in an accessible, comprehensive and multidisciplinary wayReviews the ground-breaking concept of Fire Smart Territory (FST) which offers an opportunity to reduce wildfire occurrence and severity through measures that promote sustainable developmentProposes a new perspective on disaster risk reduction to help researchers, planners and professionals successfully adapt their methods for mitigating current and future issues

Nanoencapsulation of Food Ingredients by Specialized Equipment, Third Edition, a new volume in the Nanoencapsulation in the Food Industry series provides an overview of specialized developed equipment for the nanoencapsulation of food ingredients. Electro-spinning, electro-spraying, nano-spray dryer, micro/nano-fluidics systems and sonication devices are just some of the equipment analyzed in the book. Each chapter reviews the mechanisms of innovative devices for preparation of nanostructures, exploring the key factors in each device to control the efficiency of nanoencapsulation and revealing the morphologies and properties of nanoencapsulated ingredients produced by each equipment. Authored by a team of global experts in the fields of nano and microencapsulation of food, nutraceutical, and pharmaceutical ingredients, this title is of great value to those engaged in the various fields of of nanoencapsulation.Thoroughly explores the mechanisms of nanoencapsulation by specialized equipmentElucidates the key factors in each device to control the efficiency of nanoencapsulationDiscusses the morphologies and properties of nanoencapsulated ingredients produced by each equipment

Smart Delivery Systems: Solving Complex Vehicle Routing Problems examines both exact and approximate methods for delivering optimal solutions to rich vehicle routing problems, showing both the advantages and disadvantages of each approach. It shows how to apply machine learning and advanced data analysis techniques to improve routing systems, familiarizing readers with the concepts and technologies used in successfully implemented delivery systems. The book explains both the latest theoretical and practical advances in intelligent delivery and scheduling systems and presents practical applications for designing new algorithms for real-life scenarios.Emphasizes both sequential and parallel algorithmsUniquely combines methods and algorithms, real-life applications, and parallel computingIncludes recommendations on how to choose between different methods for solving applicationsProvides learning aids, end of chapter references, bibliography, worked examples and exercises

Personalized Computational Hemodynamics: Models, Methods, and Applications for Vascular Surgery and Antitumor Therapy offers practices and advances surrounding the multiscale modeling of hemodynamics and their personalization with conventional clinical data. Focusing on three physiological disciplines, readers will learn how to derive a suitable mathematical model and personalize its parameters to account for pathologies and diseases. Written by leading experts, this book mirrors the top trends in mathematical modeling with clinical applications. In addition, the book features the major results of the "Research group in simulation of blood flow and vascular pathologies" at the Institute of Numerical Mathematics of the Russian Academy of Sciences. Two important features distinguish this book from other monographs on numerical methods for biomedical applications. First, the variety of medical disciplines targeted by the mathematical modeling and computer simulations, including cardiology, vascular neurology and oncology. Second, for all mathematical models, the authors consider extensions and parameter tuning that account for vascular pathologies. Examines a variety of medical disciplines targeted by mathematical modeling and computer simulationDiscusses how the results of numerical simulations are used to support clinical decision-makingCovers hemodynamics relating to various subject areas, including vascular surgery and oncological tumor treatments

Semi-empirical Neural Network Modeling presents a new approach on how to quickly construct an accurate, multilayered neural network solution of differential equations. Current neural network methods have significant disadvantages, including a lengthy learning process and single-layered neural networks built on the finite element method (FEM). The strength of the new method presented in this book is the automatic inclusion of task parameters in the final solution formula, which eliminates the need for repeated problem-solving. This is especially important for constructing individual models with unique features. The book illustrates key concepts through a large number of specific problems, both hypothetical models and practical interest.Offers a new approach to neural networks using a unified simulation model at all stages of design and operationIllustrates this new approach with numerous concrete examples throughout the bookPresents the methodology in separate and clearly-defined stages

Algorithmic Trading Methods: Applications using Advanced Statistics, Optimization, and Machine Learning Techniques, Second Edition, is a sequel to The Science of Algorithmic Trading and Portfolio Management. This edition includes new chapters on algorithmic trading, advanced trading analytics, regression analysis, optimization, and advanced statistical methods. Increasing its focus on trading strategies and models, this edition includes new insights into the ever-changing financial environment, pre-trade and post-trade analysis, liquidation cost & risk analysis, and compliance and regulatory reporting requirements. Highlighting new investment techniques, this book includes material to assist in the best execution process, model validation, quality and assurance testing, limit order modeling, and smart order routing analysis. Includes advanced modeling techniques using machine learning, predictive analytics, and neural networks. The text provides readers with a suite of transaction cost analysis functions packaged as a TCA library. These programming tools are accessible via numerous software applications and programming languages.Provides insight into all necessary components of algorithmic trading including: transaction cost analysis, market impact estimation, risk modeling and optimization, and advanced examination of trading algorithms and corresponding data requirements. Increased coverage of essential mathematics, probability and statistics, machine learning, predictive analytics, and neural networks, and applications to trading and finance. Advanced multiperiod trade schedule optimization and portfolio construction techniques. Techniques to decode broker-dealer and third-party vendor models. Methods to incorporate TCA into proprietary alpha models and portfolio optimizers. TCA library for numerous software applications and programming languages including: MATLAB, Excel Add-In, Python, Java, C/C++, .Net, Hadoop, and as standalone .EXE and .COM applications.

Biomarkers of Postpartum Psychiatric Disorders provides an up-to-date reference on the current research relating to biomarkers in psychiatric disorders, including major depressive disorder, OCD and bipolar disorder in the immediate postpartum time-period. It is the only reference on the market that synthesizes and interprets available data and reviews clinical phenotypes. Topics cover hormonal contributions, immunology, epigenetics and neuroimaging. While the risk of psychiatric illness during pregnancy appears to be equivalent to the risk at any other time in a woman''s life, the risk in the immediate postpartum time period is dramatically increased, hence the importance of the discussions in this title. Identifies epigenetic, hormonal, immunological and neuroimaging biomarkersProvides biomarkers for depression, OCD and psychosisIncludes clinical phenotypes for psychiatric disordersDiscusses future research and directions in the field

Ring Current Investigations offers a comprehensive description of ring current dynamics in the Earth''s magnetosphere as part of the coupled magnetosphere-ionosphere system. In order to help researchers develop a deeper understanding of the fundamental physics of geomagnetic storms, it includes a detailed description of energetic charged particles injection, trapping, and loss. It reviews historical and recent advances in observations, measurements, theory and simulations of the inner magnetosphere and its coupling to the ionosphere and other surrounding plasma populations. In addition, it compares the physics of ring currents at other strongly magnetized planets in the solar system, specifically Jupiter, Saturn, Uranus and Neptune, with the ring current system at Earth. Providing a description of the most important space weather effects driven by inner magnetospheric energetic particles during geomagnetic storms and present capabilities for their nowcast and forecast, Ring Current Investigations is an important reference for researchers in geophysics and space science, especially related to plasma physics, the ionosphere and magnetosphere, solar-terrestrial relations, and spacecraft anomalies.Includes an appendix with links to downloadable video clips, illustrating features of ring current and geomagnetic storm dynamicsProvides overview of existing state-of-the-art numerical models and links for open-source code downloadsOffers guidance on how to develop numerical models within the context of the present-day understanding

Uncertainties in Numerical Weather Prediction is a comprehensive work on the most current understandings of uncertainties and predictability in numerical simulations of the atmosphere. It provides general knowledge on all aspects of uncertainties in the weather prediction models in a single, easy to use reference. The book illustrates particular uncertainties in observations and data assimilation, as well as the errors associated with numerical integration methods. Stochastic methods in parameterization of subgrid processes are also assessed, as are uncertainties associated with surface-atmosphere exchange, orographic flows and processes in the atmospheric boundary layer. Through a better understanding of the uncertainties to watch for, readers will be able to produce more precise and accurate forecasts. This is an essential work for anyone who wants to improve the accuracy of weather and climate forecasting and interested parties developing tools to enhance the quality of such forecasts.Provides a comprehensive overview of the state of numerical weather prediction at spatial scales, from hundreds of meters, to thousands of kilometersFocuses on short-term 1-15 day atmospheric predictions, with some coverage appropriate for longer-term forecastsIncludes references to climate prediction models to allow applications of these techniques for climate simulations

Bioenergy: Biomass to Biofuels and Waste to Energy, 2nd Edition presents a complete overview of the bioenergy value chain, from feedstock to end products. It examines current and emerging feedstocks and advanced processes and technologies enabling the development of all possible alternative energy sources. Divided into seven parts, bioenergy gives thorough consideration to topics such as feedstocks, biomass production and utilization, life-cycle analysis, energy return on invested, integrated sustainability assessments, conversions technologies, biofuels economics, business, and policy. In addition, contributions from leading industry professionals and academics, augmented by related service-learning case studies and quizzes, provide readers with a comprehensive resource that connect theory to real-world implementation. Bioenergy: Biomass to Biofuels and Waste to Energy, 2nd Edition provides engineers, researchers, undergraduate and graduate students, and business professionals in the bioenergy field with valuable, practical information that can be applied to implementing renewable energy projects, choosing among competing feedstocks, technologies, and products. It also serves as a basic resource for civic leaders, economic development professionals, farmers, investors, fleet managers, and reporters interested in an organized introduction to the language, feedstocks, technologies, and products in the biobased renewable energy world. . Includes current and renewed subject matter, project case studies from real world, and topic-specific sections on the impacts of biomass use for energy production from all sorts of biomass feedstocks including organic waste of all kinds. . Provides a comprehensive overview and in-depth technical information of all possible bioenergy resources: solid (wood energy, grass energy, waste, and other biomass), liquid (biodiesel, algae biofuel, ethanol, waste to oils, etc.), and gaseous/electric (biogas, syngas, biopower, RNG), and cutting-edge topics such as advanced fuels. . Integrates current state of art coverage on feedstocks, cost-effective conversion processes, biofuels economic analysis, environmental policy, and triple bottom line. . Features quizzes for each section derived from the implementation of actual hands-on biofuel projects as part of service learning.

Optical Holography: Materials, Theory and Applications provides researchers the fundamentals of holography through diffraction optics and an overview of the most relevant materials and applications, ranging from computer holograms to holographic data storage. Dr. Pierre Blanche leads a team of thought leaders in academia and industry in this practical reference for researchers and engineers in the field of holography. This book presents all the information readers need in order to understand how holographic techniques can be applied to a variety of applications, the benefits of those techniques, and the materials that enable these technologies. Researchers and engineers will gain comprehensive knowledge on how to select the best holographic techniques for their needs.Covers current applications of holographic techniques in areas such as 3D television, solar concentration, non-destructive testing and data storageDescribes holographic recording materials and their most relevant applicationsProvides the fundamentals of holography and diffraction optics

Horticultural Plant Breeding is a complete and comprehensive resource for the development of new cultivars or clones of horticultural crops. It covers the basic theories that underpin plant breeding and applies Mendelian, quantitative and population inheritance practices in smaller populations where the individual plant has high value. Specific traditional breeding methods are also covered, with an emphasis on how these methods are adapted for horticultural species. In addition, the integration of biotechnologies with traditional breeding methodologies is explored, with an emphasis on specific applications for fruits, vegetables and ornamental crop species. Presented in focused sections, Horticultural Plant Breeding addresses historical perspectives and context, and genetics as a critical foundation of plant breeding. It highlights treatments of the various components of breeding programs, such as breeding objectives, germplasm, population engineering, mating systems, enhanced selection methods, established breeding methods applicable to inbreeding and outcrossing situations, and post-breeding activities.Provides a complete and comprehensive resource for those involved in the development of new cultivars or clones of horticultural cropsGuides readers to the most appropriate breeding strategy including potential integration of traditional and biotechnology strategies that will best achieve a cost-effective outcomeWill include access to 20 narrated slide sets to facilitate additional understanding

Human Milk: Sampling and Measurement of Energy-Yielding Nutrients and Other Macromolecules presents comprehensive, rigorous, state-of-the-science information on the origins, analysis, concentrations and variation in energy-yielding nutrients and other macromolecules present in human milk. The book includes information on how best to collect and store milk for determining concentrations of these important milk constituents and considers how to conduct milk composition analysis in research, clinical and resource-poor settings. Written by a group of international experts who are actively conducting research related to human milk macronutrients, each chapter also provides cutting-edge rationale for what research is still needed in this evolving field. In addition, the book also outlines challenges and opportunities faced by clinicians, industry leaders and regulators interested in adding these components to infant foods, human milk nutrient fortifier and formula.Presents analytical issues and challengesContains information regarding optimal milk collection and storage procedures for each milk componentUses a systematic treatment of common factors relating to milk composition variation (e.g., time postpartum, maternal diet)Provides a brief summary at the end of each chapterReviews the literature related to history/discovery, analysis, isoforms, origins/transport, variability, metabolism and research gaps

Green Food Processing Techniques: Preservation, Transformation and Extraction advances the ethics and practical objectives of "Green Food Processing" by offering a critical mass of research on a series of methodological and technological tools in innovative food processing techniques, along with their role in promoting the sustainable food industry. These techniques (such as microwave, ultrasound, pulse electric field, instant controlled pressure drop, supercritical fluid processing, extrusion...) lie on the frontier of food processing, food chemistry, and food microbiology, and are thus presented with tools to make preservation, transformation and extraction greener. The Food Industry constantly needs to reshape and innovate itself in order to achieve the social, financial and environmental demands of the 21st century. Green Food Processing can respond to these challenges by enhancing shelf life and the nutritional quality of food products, while at the same time reducing energy use and unit operations for processing, eliminating wastes and byproducts, reducing water use in harvesting, washing and processing, and using naturally derived ingredients.Introduces the strategic concept of Green Food Processing to meet the challenges of the future of the food industryPresents innovative techniques for green food processing that can be used in academia, and in industry in R&D and processingBrings a multidisciplinary approach, with significant contributions from eminent scientists who are actively working on Green Food Processing techniques

Cybercartography in a Reconciliation Community: Engaging Intersecting Perspectives, Volume Eight gathers perspectives on issues related to reconciliation-primarily in a residential / boarding school context-and demonstrates the unifying power of Cybercartography by identifying intersections among different knowledge perspectives. Concerned with understanding approaches toward reconciliation and education, preference is given to reflexivity in research and knowledge dissemination. The positionality aspect of reflexivity is reflected in the chapter contributions concerning various aspects of cybercartographic atlas design and development research, and related activities. In this regard, the book offers theoretical and practical knowledge of collaborative transdisciplinary research through its reflexive assessment of the relationships, processes and knowledge involved in cybercartographic research. Using, most specifically, the Residential Schools Land Memory Mapping Project for context, Cybercartography in a Reconciliation Community provides a high speed tour through the project''s innovative collaborative approach to mapping institutional material and volunteered geographic information. Exploring Cybercartography through the lens of this atlas project provides for a comprehensive understanding of both Cybercartography and transdisciplinary research, while informing the reader of education and reconciliation initiatives in Canada, the U.S., the U.K. and Italy.Includes a variety of examples of reconciliation work, especially related to residential / boarding schools, and examines common themes in the issues discussedOffers both conceptual and applied dimensions, and provides a good example of a reflexive approach to both research and knowledge disseminationAddresses a modern application for Cybercartography that is of considerable societal importanceProvides historiographical accounts of atlas-making processes, multidisciplinary perspectives on research issues and conceptual explorations

Signal Processing for Multistatic Radar Systems: Adaptive Waveform Selection, Optimal Geometries and Pseudolinear Tracking Algorithms addresses three important aspects of signal processing for multistatic radar systems, including adaptive waveform selection, optimal geometries and pseudolinear tracking algorithms. A key theme of the book is performance optimization for multistatic target tracking and localization via waveform adaptation, geometry optimization and tracking algorithm design. Chapters contain detailed mathematical derivations and algorithmic development that are accompanied by simulation examples and associated MATLAB codes. This book is an ideal resource for university researchers and industry engineers in radar, radar signal processing and communications engineering.Develops waveform selection algorithms in a multistatic radar setting to optimize target tracking performanceAssesses the optimality of a given target-sensor geometry and designs optimal geometries for target localization using mobile sensorsGives an understanding of low-complexity and high-performance pseudolinear estimation algorithms for target localization and tracking in multistatic radar systemsContains the MATLAB codes for the examples used in the book