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Lycium Barbarum and Human Health

This book seeks to unravel the mysteries of wolfberry, and systematically introduces its mechanisms in preventing aging-associated diseases, such as cardiovascular diseases, inflammation, liver and neurodegenerative diseases. Wolfberry, the dried fruit of Lycium barbarum, is an anti-aging herbal medicine. There have been numerous reports investigating the underlying mechanisms of its anti-aging effects and its role in preventing pathological changes in many aging-associated diseases. Its holistic effects on the body can attenuate liver toxicity and combat the spread of cancer; it also prevents degeneration in the central nervous system, and can even positively affect the skin. As such, wolfberry has become a very popular food supplement around the world. This book will serve as an excellent reference source for researchers and graduate students studying herbal medicine and aging-associated diseases, while also providing insights for the pharmaceutical industry with regard to developing potential drugs for these diseases.

Lycopene and Tomatoes in Human Nutrition and Health

Lycopene is a potent antioxidant carotenoid found in fruits and vegetables; particularly high amounts exist in red tomatoes. It is not an essential nutrient for humans, but can be a potential therapeutic agent for preventing several human diseases. Since the publication of the previous book on lycopene, extensive advances have been made with respect to the role of lycopene and tomatoes in human health. Whereas the initial focus of research was on cancer, Lycopene and Tomatoes in Human Nutrition and Health represents the next major step in documenting advances in understanding the chemistry, bioavailability, metabolism; mechanisms of action of lycopene; and its role in preventing human diseases other than cancer as discussed in the various chapters of the book. The book includes chapters that discuss genetic polymorphisms; and lycopene’s relationship to cardiovascular diseases, cardiometabolic diseases, bone health, and other health disorders including male infertility, skin diseases, respiratory disorders and neurodegenerative diseases. The book includes information addressing regulatory aspects of natural health products and, in particular lycopene, presenting industrial insights. The contents of the book are selected carefully to provide the readers with the most current information available on lycopene and tomato bioactives.

Lycopene and Tomatoes in Human Nutrition and Health

Lycopene is a potent antioxidant carotenoid found in fruits and vegetables; particularly high amounts exist in red tomatoes. It is not an essential nutrient for humans, but can be a potential therapeutic agent for preventing several human diseases. Since the publication of the previous book on lycopene, extensive advances have been made with respect to the role of lycopene and tomatoes in human health. Whereas the initial focus of research was on cancer, Lycopene and Tomatoes in Human Nutrition and Health represents the next major step in documenting advances in understanding the chemistry, bioavailability, metabolism; mechanisms of action of lycopene; and its role in preventing human diseases other than cancer as discussed in the various chapters of the book. The book includes chapters that discuss genetic polymorphisms; and lycopene’s relationship to cardiovascular diseases, cardiometabolic diseases, bone health, and other health disorders including male infertility, skin diseases, respiratory disorders and neurodegenerative diseases. The book includes information addressing regulatory aspects of natural health products and, in particular lycopene, presenting industrial insights. The contents of the book are selected carefully to provide the readers with the most current information available on lycopene and tomato bioactives.

Lying by Approximation: The Truth about Finite Element Analysis (Synthesis Lectures on Engineering)

In teaching an introduction to the finite element method at the undergraduate level, a prudent mix of theory and applications is often sought. In many cases, analysts use the finite element method to perform parametric studies on potential designs to size parts, weed out less desirable design scenarios, and predict system behavior under load. In this book, we discuss common pitfalls encountered by many finite element analysts, in particular, students encountering the method for the first time. We present a variety of simple problems in axial, bending, torsion, and shear loading that combine the students' knowledge of theoretical mechanics, numerical methods, and approximations particular to the finite element method itself. We also present case studies in which analyses are coupled with experiments to emphasize validation, illustrate where interpretations of numerical results can be misleading, and what can be done to allay such tendencies. Challenges in presenting the necessary mix of theory and applications in a typical undergraduate course are discussed. We also discuss a list of tips and rules of thumb for applying the method in practice. Table of Contents: Preface / Acknowledgments / Guilty Until Proven Innocent / Let's Get Started / Where We Begin to Go Wrong / It's Only a Model / Wisdom Is Doing It / Summary / Afterword / Bibliography / Authors' Biographies

Lynn Margulis: The Life and Legacy of a Scientific Rebel (Sciencewriters)

Tireless, controversial, and hugely inspirational to those who knew her or encountered her work, Lynn Margulis was a scientist whose intellectual energy and interests knew no bounds. Best known for her work on the origins of eukaryotic cells, the Gaia hypothesis, and symbiogenesis as a driving force in evolution, her work has forever changed the way we understand life on Earth. When Margulis passed away in 2011, she left behind a groundbreaking scientific legacy that spanned decades. In this collection, Dorion Sagan, Margulis's son and longtime collaborator, gathers together the voices of friends and colleagues to remark on her life and legacy, in essays that cover her early collaboration with James Lovelock, her fearless face-off with Richard Dawkins during the so-called "Battle of Balliol" at Oxford, the intrepid application of her scientific mind to the insistence that 9/11 was a false-flag operation, her affinity for Emily Dickinson, and more. Margulis was elected to the National Academy of Sciences in 1983, received the prestigious National Medal of Science in 1999, and her papers are permanently archived at the Library of Congress. Less than a month before her untimely death, Margulis was named one of the twenty most influential scientists alive - one of only two women on this list, which include such scientists as Stephen Hawking, James Watson, and Jane Goodall.

Lyotrope Flüssigkristalle: Grundlagen Entwicklung Anwendung

Lyotrope Flüssigkristalle stellen den ältesten Typ des vierten Zustandes der Materie dar, welcher die Eigenschaften kristalliner Festkörper und normaler Flüssigkeiten in sich vereint und deshalb Mesophase genannt wird. Trotz vielfältiger Anwendungsmöglichkeiten in Medizin, Pharmazie und Kosmetik führen sie im Vergleich zu den konkurrierenden thermotropen Mesophasen immer noch ein Schattendasein. Ziel dieses Buches ist es, den Chemikern, Physikern und Pharmazeuten sowie Studenten höherer Semester die Grundlagen lyotroper Flüssigkristalle nahezubringen, ihre Verwandtschaft sowie Unterschiede zu thermotropen Flüssigkristallen herauszuarbeiten und die vielfältigen Möglichkeiten ihrer Anwendung aufzuzeigen.

M-Health: Emerging Mobile Health Systems (Topics in Biomedical Engineering. International Book Series)

M-health can be defined as the ‘emerging mobile communications and network technologies for healthcare systems.' This book paves the path toward understanding the future of m-health technologies and services and also introducing the impact of mobility on existing e-health and commercial telemedical systems. M-Health: Emerging Mobile Health Systems presents a new and forward-looking source of information that explores the present and future trends in the applications of current and emerging wireless communication and network technologies for different healthcare scenaria. It also provides a discovery path on the synergies between the 2.5G and 3G systems and other relevant computing and information technologies and how they prescribe the way for the next generation of m-health services. The book contains 47 chapters, arranged in five thematic sections: Introduction to Mobile M-health Systems, Smart Mobile Applications for Health Professionals, Signal, Image, and Video Compression for M-health Applications, Emergency Health Care Systems and Services, Echography Systems and Services, and Remote and Home Monitoring. This book is intended for all those working in the field of information technologies in biomedicine, as well as for people working in future applications of wireless communications and wireless telemedical systems. It provides different levels of material to researchers, computing engineers, and medical practitioners interested in emerging e-health systems. This book will be a useful reference for all the readers in this important and growing field of research, and will contribute to the roadmap of future m-health systems and improve the development of effective healthcare delivery systems.

m_Health Current and Future Applications (EAI/Springer Innovations in Communication and Computing)

This book describes current trends in m_Health technology, systems, and applications. The book proposes a multifaceted view on m-Health opportunities and requirements starting from four aspects: patient, technology, design and innovation. The analysis is completed by a market segmentation overview and by the most recent research experiences to offer a complete benchmark and vision of m_Health for today and tomorrow. The contributions are based on the outcomes of initiatives on the future of healthcare, funded by the EU in the frame of FP7 and Horizon 2020 and their deployment into real clinical practice. Throughout the book, clinicians, technicians, researchers, and end-users debate their experience, needs, risks, opportunities, and available solutions in this fast moving field.

M-matrices in Numerical Analysis (Teubner-Texte zur Mathematik)

m-Mode SVPWM Technique for Power Converters (CPSS Power Electronics Series)

This book presents a novel control method for power converters, referred to as m-mode control. It provides an overview of traditional control methods for inverters – e.g. PWM and SVPWM – and the theory of the m-mode control method, while also discussing and applying m-mode control on various types of converters (including three-phase, nine-switch, five-leg and multi-level inverters, PWM rectifiers and modular multi-level converters). The book provides readers with sufficient background and understanding to delve deeper into the topic of SVPWM control. It is also a valuable guide for engineers and researchers whose work involves power converter control.

m-Profits: Making Money from 3G Services

UMTS as a technology allows for exciting new applications of some of the best ideas of services in the fixed telecoms, cellular/mobile telecoms, and internet environments, with many revolutionary new possibilities which simply do not exist in the current media and communications vehicles.The current worldwide interest in UMTS/3G is driven partly by the iminent roll-out of the new infrastructure during 2002/3. The general consensus in the telecoms industry is that that services will be driving this new UMTS/3G industry, and with no historical reference points, a large worldwide demand exists for this type of book. 'm-Profits: Making Money from 3G Servives' will discuss 3G services from the view of what is needed for the service to provide value to the user, which technical features of the 3G network will be used, what is the value proposition for the user, how will money be made out of delivering the service, and discussions on how revenue sharing propositions might work to benefit content providers and network operators. * Addresses subject from the viewpoints of network operator, virtual operator, service provider, content provider, and end-user * Explains how will money be made out of delivering 3G services * Covers the key issues of 'revenue sharing' and competition * Includes 12 service vignettes Essential reading for mobile operators dealing with marketing, product development, 3G people, content providers, business Development, mobile Services people, consultants, bankers and media professionals.

M2M Communications: A Systems Approach

A comprehensive introduction to M2M Standards and systems architecture, from concept to implementation Focusing on the latest technological developments, M2M Communications: A Systems Approach is an advanced introduction to this important and rapidly evolving topic. It provides a systems perspective on machine-to-machine services and the major telecommunications relevant technologies. It provides a focus on the latest standards currently in progress by ETSI and 3GPP, the leading standards entities in telecommunication networks and solutions. The structure of the book is inspired by ongoing standards developments and uses a systems-based approach for describing the problems which may be encountered when considering M2M, as well as offering proposed solutions from the latest developments in industry and standardization. The authors provide comprehensive technical information on M2M architecture, protocols and applications, especially examining M2M service architecture, access and core network optimizations, and M2M area networks technologies. It also considers dominant M2M application domains such as Smart Metering, Smart Grid, and eHealth. Aimed as an advanced introduction to this complex technical field, the book will provide an essential end-to-end overview of M2M for professionals working in the industry and advanced students. Key features: First technical book emerging from a standards perspective to respond to this highly specific technology/business segment Covers the main challenges facing the M2M industry today, and proposes early roll-out scenarios and potential optimization solutions Examines the system level architecture and clearly defines the methodology and interfaces to be considered Includes important information presented in a logical manner essential for any engineer or business manager involved in the field of M2M and Internet of Things Provides a cross-over between vertical and horizontal M2M concepts and a possible evolution path between the two Written by experts involved at the cutting edge of M2M developments

M2M Communications: A Systems Approach

A comprehensive introduction to M2M Standards and systems architecture, from concept to implementation Focusing on the latest technological developments, M2M Communications: A Systems Approach is an advanced introduction to this important and rapidly evolving topic. It provides a systems perspective on machine-to-machine services and the major telecommunications relevant technologies. It provides a focus on the latest standards currently in progress by ETSI and 3GPP, the leading standards entities in telecommunication networks and solutions. The structure of the book is inspired by ongoing standards developments and uses a systems-based approach for describing the problems which may be encountered when considering M2M, as well as offering proposed solutions from the latest developments in industry and standardization. The authors provide comprehensive technical information on M2M architecture, protocols and applications, especially examining M2M service architecture, access and core network optimizations, and M2M area networks technologies. It also considers dominant M2M application domains such as Smart Metering, Smart Grid, and eHealth. Aimed as an advanced introduction to this complex technical field, the book will provide an essential end-to-end overview of M2M for professionals working in the industry and advanced students. Key features: First technical book emerging from a standards perspective to respond to this highly specific technology/business segment Covers the main challenges facing the M2M industry today, and proposes early roll-out scenarios and potential optimization solutions Examines the system level architecture and clearly defines the methodology and interfaces to be considered Includes important information presented in a logical manner essential for any engineer or business manager involved in the field of M2M and Internet of Things Provides a cross-over between vertical and horizontal M2M concepts and a possible evolution path between the two Written by experts involved at the cutting edge of M2M developments

MAC Protocol Design in Full-Duplex Enabled Wireless Networks (Wireless Networks)

This book thoroughly examines the design of full-duplex medium access control (MAC) protocols in wireless networks. It is organized into three main sections: (a) Fundamentals and preliminaries of full-duplex communications, (b) A comprehensive review of the existing full-duplex MAC protocols, and (c) Designs of full-duplex MAC protocols in three typical wireless networks, i.e., wireless local access networks (WLANs), multi-hop networks and millimeter-wave networks. Also, the authors extensively address key challenges in these three wireless full-duplex networks, such as the hidden-node problem, accumulative interference, and deafness and blockage problems. Solutions to these challenges are meticulously devised to enhance the overall network performance. The wireless full-duplex communication technique, facilitating simultaneous transmission and reception within the same frequency band, holds immense potential for enhancing spectrum efficiency and network capacity. It emerges as a pivotal technology in the sixth-generation (6G) networks. This book provides a comprehensive review and in-depth exploration of full-duplex MAC design across various networks, encompassing WLANs, multi-hop networks, and millimeter-wave networks. Acknowledging the challenges faced by full-duplex WLANs, particularly the hidden-node problem, it also introduces a pioneering hidden-node-free design and a MAC protocol design, which features a full-duplex enhanced carrier-sensing mechanism. Addressing the need to augment end-to-end throughput in multi-hop networks employing full-duplex relaying, the authors present an analytical model for end-to-end throughput and propose a multi-hop full-duplex MAC protocol designed to optimize network performance. Furthermore, the exploration extends to full-duplex millimeter-wave networks, delving into issues of deafness and blockage. A directional full-duplex MAC protocol is introduced to enhance network capacity and mitigate blockage problems. This book concludes by outlining prospective research directions within the related fields of study and offers valuable insights for future exploration. This book targets researchers and advanced level students in computer science and electrical engineering. It also caters to professionals engaged in the fields of wireless networks, full-duplex system, protocol design, and network optimization will also buy this book.

Machen elektromagnetische Felder krank?: Strahlen, Wellen, Felder und ihre Auswirkungen auf unsere Gesundheit

Machinability of Advanced Materials (Iste Ser.)

Machinability of Advanced Materials addresses the level of difficulty involved in machining a material, or multiple materials, with the appropriate tooling and cutting parameters. A variety of factors determine a material’s machinability, including tool life rate, cutting forces and power consumption, surface integrity, limiting rate of metal removal, and chip shape. These topics, among others, and multiple examples comprise this research resource for engineering students, academics, and practitioners.

Machinability of Advanced Materials

Machinability of Advanced Materials addresses the level of difficulty involved in machining a material, or multiple materials, with the appropriate tooling and cutting parameters. A variety of factors determine a material’s machinability, including tool life rate, cutting forces and power consumption, surface integrity, limiting rate of metal removal, and chip shape. These topics, among others, and multiple examples comprise this research resource for engineering students, academics, and practitioners.

The Machine Age: An Idea, a History, a Warning

A sweeping history of and meditation on humanity's relationship with machines, showing how we got here and what happens nextFaith in technological fixes for our problems is waning. Automation, which promised relief from toil, has reactivated the long-standing fear of job redundancy. Information technology, meant to liberate us from traditional authority, is placing unprecedented powers of surveillance and control in the hands of a purely secular Big Brother. And for the first time, artificial intelligence threatens anthropogenic disaster – disaster caused by our own activities. Scientists join imaginative writers in warning us of the fate of Icarus, whose wings melted because he flew too close to the sun.This book tells the story of our fractured relationship with machines from humanity’s first tools down to the present and into the future. It raises the crucial question of why some parts of the world developed a ‘machine civilisation’ and not others, and traces the interactions between capitalism and technology, and between science and religion, in the making of the modern world.Taking in the peaks of philosophy and triumphs of science, the foundation of economics and speculations of fiction, Robert Skidelsky embarks on a bold intellectual journey through the evolution of our understanding of technology and what this means for our lives and politics. ‘Unless we understand technology as a system of ideas rather than as a necessity,’ he writes, ‘we will be powerless to choose which technology is best suited to our needs and purposes.’

Machine Analysis with Computer Applications for Mechanical Engineers: With Computer Applications For Mechanical Engineers

The aim of this book is to motivate students into learning Machine Analysis by reinforcing theory and applications throughout the text. The author uses an enthusiastic ‘hands-on’ approach by including photos of actual mechanisms in place of abstract line illustrations, and directs students towards developing their own software for mechanism analysis using Excel & Matlab. An accompanying website includes a detailed list of tips for learning machine analysis, including tips on working homework problems, note taking, preparing for tests, computer programming and other topics to aid in student success. Study guides for each chapter that focus on teaching the thought process needed to solve problems by presenting practice problems are included, as are computer animations for common mechanisms discussed in the text.

Machine Analysis with Computer Applications for Mechanical Engineers

The aim of this book is to motivate students into learning Machine Analysis by reinforcing theory and applications throughout the text. The author uses an enthusiastic ‘hands-on’ approach by including photos of actual mechanisms in place of abstract line illustrations, and directs students towards developing their own software for mechanism analysis using Excel & Matlab. An accompanying website includes a detailed list of tips for learning machine analysis, including tips on working homework problems, note taking, preparing for tests, computer programming and other topics to aid in student success. Study guides for each chapter that focus on teaching the thought process needed to solve problems by presenting practice problems are included, as are computer animations for common mechanisms discussed in the text.

Machine and Deep Learning Algorithms and Applications (Synthesis Lectures on Signal Processing)

This book introduces basic machine learning concepts and applications for a broad audience that includes students, faculty, and industry practitioners. We begin by describing how machine learning provides capabilities to computers and embedded systems to learn from data. A typical machine learning algorithm involves training, and generally the performance of a machine learning model improves with more training data. Deep learning is a sub-area of machine learning that involves extensive use of layers of artificial neural networks typically trained on massive amounts of data. Machine and deep learning methods are often used in contemporary data science tasks to address the growing data sets and detect, cluster, and classify data patterns. Although machine learning commercial interest has grown relatively recently, the roots of machine learning go back to decades ago. We note that nearly all organizations, including industry, government, defense, and health, are using machine learning to address a variety of needs and applications. The machine learning paradigms presented can be broadly divided into the following three categories: supervised learning, unsupervised learning, and semi-supervised learning. Supervised learning algorithms focus on learning a mapping function, and they are trained with supervision on labeled data. Supervised learning is further sub-divided into classification and regression algorithms. Unsupervised learning typically does not have access to ground truth, and often the goal is to learn or uncover the hidden pattern in the data. Through semi-supervised learning, one can effectively utilize a large volume of unlabeled data and a limited amount of labeled data to improve machine learning model performances. Deep learning and neural networks are also covered in this book. Deep neural networks have attracted a lot of interest during the last ten years due to the availability of graphics processing units (GPU) computational power, big data, and new software platforms. They have strong capabilities in terms of learning complex mapping functions for different types of data. We organize the book as follows. The book starts by introducing concepts in supervised, unsupervised, and semi-supervised learning. Several algorithms and their inner workings are presented within these three categories. We then continue with a brief introduction to artificial neural network algorithms and their properties. In addition, we cover an array of applications and provide extensive bibliography. The book ends with a summary of the key machine learning concepts.

Machine and Deep Learning Using MATLAB: Algorithms and Tools for Scientists and Engineers

MACHINE AND DEEP LEARNING In-depth resource covering machine and deep learning methods using MATLAB tools and algorithms, providing insights and algorithmic decision-making processes Machine and Deep Learning Using MATLAB introduces early career professionals to the power of MATLAB to explore machine and deep learning applications by explaining the relevant MATLAB tool or app and how it is used for a given method or a collection of methods. Its properties, in terms of input and output arguments, are explained, the limitations or applicability is indicated via an accompanied text or a table, and a complete running example is shown with all needed MATLAB command prompt code. The text also presents the results, in the form of figures or tables, in parallel with the given MATLAB code, and the MATLAB written code can be later used as a template for trying to solve new cases or datasets. Throughout, the text features worked examples in each chapter for self-study with an accompanying website providing solutions and coding samples. Highlighted notes draw the attention of the user to critical points or issues. Readers will also find information on: Numeric data acquisition and analysis in the form of applying computational algorithms to predict the numeric data patterns (clustering or unsupervised learning) Relationships between predictors and response variable (supervised), categorically sub-divided into classification (discrete response) and regression (continuous response) Image acquisition and analysis in the form of applying one of neural networks, and estimating net accuracy, net loss, and/or RMSE for the successive training, validation, and testing steps Retraining and creation for image labeling, object identification, regression classification, and text recognition Machine and Deep Learning Using MATLAB is a useful and highly comprehensive resource on the subject for professionals, advanced students, and researchers who have some familiarity with MATLAB and are situated in engineering and scientific fields, who wish to gain mastery over the software and its numerous applications.

Machine and Deep Learning Using MATLAB: Algorithms and Tools for Scientists and Engineers

MACHINE AND DEEP LEARNING In-depth resource covering machine and deep learning methods using MATLAB tools and algorithms, providing insights and algorithmic decision-making processes Machine and Deep Learning Using MATLAB introduces early career professionals to the power of MATLAB to explore machine and deep learning applications by explaining the relevant MATLAB tool or app and how it is used for a given method or a collection of methods. Its properties, in terms of input and output arguments, are explained, the limitations or applicability is indicated via an accompanied text or a table, and a complete running example is shown with all needed MATLAB command prompt code. The text also presents the results, in the form of figures or tables, in parallel with the given MATLAB code, and the MATLAB written code can be later used as a template for trying to solve new cases or datasets. Throughout, the text features worked examples in each chapter for self-study with an accompanying website providing solutions and coding samples. Highlighted notes draw the attention of the user to critical points or issues. Readers will also find information on: Numeric data acquisition and analysis in the form of applying computational algorithms to predict the numeric data patterns (clustering or unsupervised learning) Relationships between predictors and response variable (supervised), categorically sub-divided into classification (discrete response) and regression (continuous response) Image acquisition and analysis in the form of applying one of neural networks, and estimating net accuracy, net loss, and/or RMSE for the successive training, validation, and testing steps Retraining and creation for image labeling, object identification, regression classification, and text recognition Machine and Deep Learning Using MATLAB is a useful and highly comprehensive resource on the subject for professionals, advanced students, and researchers who have some familiarity with MATLAB and are situated in engineering and scientific fields, who wish to gain mastery over the software and its numerous applications.

Machine and Industrial Design in Mechanical Engineering: Proceedings of KOD 2021 (Mechanisms and Machine Science #109)

This book gathers the latest advances, innovations, and applications in the field of machine science and mechanical engineering, as presented by international researchers and engineers at the 11th International Conference on Machine and Industrial Design in Mechanical Engineering (KOD), held in Novi Sad, Serbia on June 10-12, 2021. It covers topics such as mechanical and graphical engineering, industrial design and shaping, product development and management, complexity, and system design. The contributions, which were selected by means of a rigorous international peer-review process, highlight numerous exciting ideas that will spur novel research directions and foster multidisciplinary collaborations.

Machine Behavior Design And Analysis: A Consensus Perspective

In this book, we present our systematic investigations into consensus in multi-agent systems. We show the design and analysis of various types of consensus protocols from a multi-agent perspective with a focus on min-consensus and its variants. We also discuss second-order and high-order min-consensus. A very interesting topic regarding the link between consensus and path planning is also included. We show that a biased min-consensus protocol can lead to the path planning phenomenon, which means that the complexity of shortest path planning can emerge from a perturbed version of min-consensus protocol, which as a case study may encourage researchers in the field of distributed control to rethink the nature of complexity and the distance between control and intelligence. We also illustrate the design and analysis of consensus protocols for nonlinear multi-agent systems derived from an optimal control formulation, which do not require solving a Hamilton-Jacobi-Bellman (HJB) equation. The book was written in a self-contained format. For each consensus protocol, the performance is verified through simulative examples and analyzed via mathematical derivations, using tools like graph theory and modern control theory. The book’s goal is to provide not only theoretical contributions but also explore underlying intuitions from a methodological perspective.