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The past decades have transformed the world of statistical data analysis, with new methods, new types of data, and new computational tools. Modern Statistics with R introduces you to key parts of this modern statistical toolkit. It teaches you: Data wrangling - importing, formatting, reshaping, merging, and filtering data in R. Exploratory data analysis - using visualisations and multivariate techniques to explore datasets. Statistical inference - modern methods for testing hypotheses and computing confidence intervals. Predictive modelling - regression models and machine learning methods for prediction, classification, and forecasting. Simulation - using simulation techniques for sample size computations and evaluations of statistical methods. Ethics in statistics - ethical issues and good statistical practice. R programming - writing code that is fast, readable, and (hopefully!) free from bugs. No prior programming experience is necessary. Clear explanations and examples are provided to accommodate readers at all levels of familiarity with statistical principles and coding practices. A basic understanding of probability theory can enhance comprehension of certain concepts discussed within this book.In addition to plenty of examples, the book includes more than 200 exercises, with fully worked solutions available at www.modernstatisticswithr.com.

A sound understanding of magnetism, transport theory, spin relaxation mechanisms, and magnetization dynamics is necessary to engage in spintronics research. In this primer, special effort has been made to give straightforward explanations for these advanced concepts.This book will be a valuable resource for graduate students in spintronics and related fields. Concepts of magnetism such as exchange interaction, spin-orbit coupling, spin canting, and magnetic anisotropy are introduced. Spin-dependent transport is described using both thermodynamics and Boltzmann's equation, including Berry curvature corrections. Spin relaxation phenomenology is accounted for with master equations for quantum spin systems coupled to a bath. Magnetic resonance principles are applied to describe spin waves in ferromagnets, cavity-mode coupling in antiferromagnets, and coherence phenomena relevant to spin qubits applications.Key Features: - A pedagogical approach to foundational concepts in spintronics with simple models that can be calculated to enhance understanding.- Nineteen chapters, each beginning with a historical perspective and ending with an outlook on current research.- 1200 references, ranging from landmark papers to frontline publications.Jean-Philippe Ansermet is Professor Emeritus at École Polytechnique Fédérale de Lausanne (EPFL), where he pioneered experiments on giant magnetoresistance, current-induced magnetization switching, heat-driven spin torque, and nuclear magnetic resonance. He taught mechanics, thermodynamics, and spin dynamics for more than twenty years. A fellow of the American Physical Society and recipient of the 2022 Credit Suisse Teaching Award, he was an executive board member of the European Physical Society, president of the Swiss Physical Society, and teaching director at EPFL. He has authored or co-authored textbooks on mechanics and thermodynamics and published more than two hundred articles.

Obesity is a global pandemic rising beyond the status of a lifestyle disorder, and its consequences include impaired metabolism, energy disruption, and abdominal fat deposition and storage. Body Recomposition: A Comprehensive and Metabolic Alternative to Weight Loss presents information on body recomposition, which emphasizes the approach of losing fat, whilst gaining muscle. It contains vast research on topics including factors that influence fat accumulation; strategies for weight management; healthy diet and eating patterns; physical exercise; and lifestyle strategies in healthy weight management.FeaturesGluten-free diets and the influence of non-alcoholic fatty liver disease (NAFLD) in stored fat accumulationAn analysis of survival panic, and the immune-driven force behind fat accumulationRoles of leptin, ghrelin, NPY, cortisol, and diverse neurotransmitters in appetite correction and regulationGut-brain axis role in metabolism and body recompositionEfficacy of phytochemicals in weight management and roles of green tea in weight managementImportance of physical exercise and manageable lifestyle factorsExisting commercial weight loss strategies can fail to achieve and maintain sustainable weight loss, enhancing greater healthy fat loss. This book provides an improved alternative for dietitians/nutritionists; health practitioners and clinicians; as well as food and nutrition scientists.

This book gives detailed information about how soil, water and wastes can be managed to overcome the various global issues via possible nexus thinking. The emphasis is on the environmental resource perspective of the global climate change related issues. It provides stepwise information on climate change and adaption strategies; urbanization and its impact and management strategies; environmental nexus approaches to cope up global challenges and recourses conservation; and ecological approach to restore the damaged ecosystem. Features: Compiles the possible nexus approaches that contribute to manage the atmospheric environmental variables in sustainable ways. Focusses on environmental resources perspective of the global change. Covers how soil, water and waste may be managed in a nexus. Explains modern strategies to manage present environmental situation that are feasible and safe to the environment. Discusses environmental nexus for judicious resource management. This book is aimed at researchers and graduate students in environmental sciences and engineering, and sustainable development.

Parametric array loudspeakers (PALs) are capable of generating highly directional audio beams from nonlinear interactions of intense airborne ultrasound waves. This unique capability holds great potential in audio engineering. This book systematically introduces the physical principles of acoustics waves generated by PALs, along with the commonly used and the state-of-the-art numerical models, such as the Westervelt model, the convolution directivity model, the Gaussian beam expansion method, and the spherical wave expansion method.The properties of sound fields generated by PALs are analyzed. Also analyzed are various phenomena including the reflection of acoustics waves generated by PALs from a surface, transmission through a thin partition, scattering by a rigid sphere, and propagation in rooms. Furthermore, the steering and focusing of acoustics waves generated by PALs and potential applications of PALs in active sound control are investigated. Finally, the implementation issues of hardware, signal processing techniques, measurement, and safety are discussed.The book is tailored to meet the needs of researchers in this field, as well as audio practitioners and acoustics engineers.

This book provides a comprehensive exploration of nanomaterials, offering insights into their diverse morphologies and applications. Chapters delve into the industrial potential of nanocellulose-based aerogels, the future of light-driven and UV-photodetector materials, and the use of functionalized nanomaterials for wastewater restoration. It explores the pivotal role of nanobiotechnology in water purification and introduces nanopharmaceuticals as a promising frontier in clinical medicine. The book addresses safety concerns related to occupational exposure to nanomaterials, highlighting hazards and toxicity. Additionally, it discusses the environmental effects of nanotechnology innovation. This multifaceted approach caters to professionals, researchers, and enthusiasts navigating the evolving landscape of nanomaterials.

Association Models in Epidemiology: Study Design, Modeling Strategies, and Analytic Methods is written by an epidemiologist for graduate students, researchers, and practitioners who will use regression techniques to analyze data. It focuses on association models rather than prediction models. The book targets students and working professionals who lack a bona fide modeling expert but are committed to conducting appropriate regression analyses and generating valid findings from their projects. This book aims to offer detailed strategies to guide them in modeling epidemiologic data.Features: Custom-Tailored Models: Discover association models specifically designed for epidemiologic study designs. Epidemiologic Principles in Action: Learn how to apply and translate epidemiologic principles into regression modeling techniques. Model Specification Guidance: Get expert guidance on model specifications to estimate exposure-outcome associations, controlling for confounding bias accurately. Accessible Language: Explore regression intricacies in user-friendly language, accompanied by real-world examples that make learning easier. Step-by-Step Approach: Follow a straightforward step-by-step approach to master strategies and procedures for analysis. Rich in Examples: Benefit from 120 examples, 77 figures, 86 tables, and 174 SAS(R) outputs with annotations to enhance your understanding. Crafted for two primary audiences, this book benefits graduate epidemiology students seeking to understand how epidemiologic principles inform modeling analyses and public health professionals conducting independent analyses in their work. Therefore, this book serves as a textbook in the classroom and as a reference book in the workplace. A wealth of supporting material is available for download from the book's CRC Press webpage. Upon completing this book, readers should gain confidence in accurately estimating associations between risk factors and outcomes, controlling confounding bias, and assessing effect modification.

Bayesian data analysis and modelling linked with machine learning offers a new tool for handling geotechnical data. This book presents recent advancements made by the author in the area of probabilistic geotechnical site characterization.Two types of correlation play central roles in geotechnical site characterization: cross-correlation among soil properties and spatial-correlation in the underground space. The book starts with the introduction of Bayesian notion of probability "degree of belief", showing that well known probability axioms can be obtained by Boolean logic and the definition of plausibility function without the use of the notion "relative frequency". It then reviews probability theories and useful probability models for cross correlation and spatial correlation. Methods for Bayesian parameter estimation and prediction are also presented, and the use of these methods demonstrated with geotechnical site characterization examples.Bayesian Machine Learning in Geotechnical Site Characterization suits consulting engineers and graduate students in the area.

"Introduction to IoT" is an insightful book that serves as a comprehensive guide to understanding the foundations and key concepts of the Internet of Things (IoT) technology. The book begins by introducing readers to the concept of IoT, explaining its significance and potential impact on various industries and domains. It covers the underlying principles of IoT, including its architecture, connectivity, and communication protocols, providing readers with a solid understanding of how IoT systems are structured and how devices interact within the IoT ecosystem. This book dives into the crucial components that form the backbone of IoT systems. It explores sensors and actuators, explaining their roles in collecting and transmitting data from the physical environment. The book also covers electronic components used in IoT devices, such as microcontrollers, communication modules, and power management circuits. This comprehensive understanding of the building blocks of IoT allows readers to grasp the technical aspects involved in developing IoT solutions. Overall, "Introduction to IoT" is an indispensable book that offers a comprehensive and practical exploration of the essential principles, components, and challenges of IoT. With its broad coverage and real-world examples, it is an excellent resource for anyone seeking to grasp the fundamentals of this transformative technology.

This text serves as an exploration of the beautiful topic of mathematical biology through the lens of discrete and differential equations. Intended for students who have completed differential and integral calculus, this book allows students to explore topics such as bifurcation diagrams, nullclines, discrete dynamics, and SIR models for disease spread, which are often reserved for more advanced undergraduate or graduate courses. These exciting topics are sprinkled throughout the text alongside the more typical first and second order linear differential equations and systems of linear differential equations.This class-tested text is written in a conversational, welcoming voice which should help invite students along as they discover the magic of mathematical biology and both discrete and differential equations. A focus is placed on examples with solutions written out step by step, including computational steps, with the goal of being as easy as possible for students to independently follow along.Rich in applications, this text can be used for a semester-long course in either differential equations or mathematical biology. Alternatively, it can serve as a companion text for a two-semester sequence beginning with discrete time systems, extending through a wide array of topics in differential equations, and culminating in systems, SIR models, and other applications.

The ability to use computers to solve mathematical relationships is a fundamental skill for anyone planning for a career in science or engineering. For this reason, numerical analysis is part of the core curriculum for just about every undergraduate physics and engineering department. But for most physics and engineering students, practical programming is a self-taught process.This book introduces the reader not only to the mathematical foundation but also to the programming paradigms encountered in modern hybrid software-hardware scientific computing. After completing the text, the reader will be well-versed in the use of different numerical techniques, programming languages, and hardware architectures, and will be able to select the appropriate software and hardware tool for their analysis.It can serve as a textbook for undergraduate courses on numerical analysis and scientific computing courses within engineering and physical sciences departments. It will also be a valuable guidebook for researchers with experimental backgrounds interested in working with numerical simulations, or to any new personnel working in scientific computing or data analysis.Key Features: - Includes examples of solving numerical problems in multiple programming languages, including MATLAB, Python, Fortran, C++, Arduino, Javascript, and Verilog.- Provides an introduction to modern high performance computing technologies including multithreading, distributed computing, GPUs, microcontrollers, FPGAs, and web "cloud computing".- Contains an overview of numerical techniques not found in other introductory texts including particle methods, finite volume and finite element methods, Vlasov solvers, molecular dynamics.Companions websites for this book can be accessed at https: //plasmasimulationsbyexample.com/ and https: //www.scientificprogrammingbook.com/.Lubos Brieda holds a Ph.D. in Aerospace and Mechanical Aerospace Engineering from the George Washington University in Washington, D.C., USA and a M.Sc. in Aerospace and Ocean Engineering from Virginia Tech in Blacksburg, VA, USA. He is the president of Particle in Cell Consulting, LLC, Westlake Village, CA, USA, while also serving as a part time lecturer in the Department of Astronautical Engineering at University of Southern California, Los Angeles, CA. Dr. Brieda is the author of numerous simulation codes utilized by the aerospace and plasma modeling communities. Additionally, he maintains an online blog found at particleincell.com/blog focusing on scientific computing and since 2014 he has been teaching online courses on plasma simulations through his website.Joseph Wang is Professor of Astronautics and Aerospace and Mechanical Engineering at University of Southern California. Prof. Wang received his Ph.D in Aeronautics and Astronautics from Massachusetts Institute of Technology in 1991. Prof. Wang conducts research in computational physics, space technology, and space and planetary science. He and his students have developed many computer simulation models utilizing particle-in-cell, Vlasov, and molecular dynamics simulation for large-scale first-principle based simulations in these areas. He has more than 300 publications.Robert Martin received his B.S. in Aerospace Engineering from Iowa State University and his M.S. and Ph.D in Computational Science, Mathematics, and Engineering focused on modeling non-equilibrium gas and plasma at the University of California, San Diego. He joined the Air Force Research Laboratory (AFRL) In-Space Propulsion branch in 2011 leading development of a new multiscale/multiphysics modeling framework for spacecraft plasma. He joined the Army Research Office to run the Modeling of Complex Systems Program in 2021.

Nanosized particles explored for therapeutics and diagnosis related research areas need updated latest information for the budding researcher as well as academicians. Nanomedicine, Nanotheranostics and Nanobiotechnology has been a contemporary technological tool for diverse biomedical, pharmaceutical and diagnostic solutions. The present book is divided into two sections.Section A (16 chapters) is dedicated to the exclusive book chapters related to Nanomedicine area such as History, regulatory, scale-up, regulatory toxicology aspects of nanomedicine. Additionally, this section include chapters focusing on application domain of nanomedicine for targeted cancer therapy, rheumatoid arthritis management, psoriasis, ocular delivery, topical applications, oral bioavailability enhancement and pulmonary delivery etc.Section B (10 chapters) comprised of chapters in the area of nanotheranostics and applications of nanobiotechnology. In brief, latest topics such as gold nanoparticles in diagnostics and therapy, nanoparticles for siRNA delivery, carbon nanotubes for gene delivery, nanoparticles for vaccine delivery, nanobiotechnology in cell-based nanomedicines, nanotechnology in regenerative medicine and nanocarriers in delivery of proteins and peptides are complied.Key features: - A total of 26 emerging topics are covered in the book on the cutting edge research areas at the multi-disciplinary level.- The chapters are focusing from fundamentals to the applications part making it attractive for beginner as well as the experts.- The chapters are written by the one of the well-known experts of the field in simple scientific style with figures, scheme and illustrations.Dr. Rishi Paliwal and Dr. Shivani Rai Paliwal, Editors of the book, both are domain experts who are continuously exploring nantechnological principles for diverse biomedical and pharmaceutical applications since two decades. Being established nanomedicine scientist, the book has been edited well with profound knowledge base.

How did we end up here, masters of scientific insight, purveyors of ever more powerful technologies, astride the burning planet that created us, and now responsible for cleaning up the mess and determining the future direction of all of life? And what do we do about it? Technology is Dead attempts to answer both of those questions. It is a book of both challenge and hope, written for those who are able or willing to lead us out of our global predicament. It is for the politicians, CEOs, community leaders, everyday parents and young people who understand that we must change our ways to ensure a sustainable future for all living things and the planet we rely on. The book's premise is that technology (like capitalism) has been an unprecedented force for prosperity, while at the same time bringing unrelenting, and unplanned downsides. Technology has insinuated itself into every nook and cranny of modern society, ignoring many of our human truths while preying on our vulnerabilities. It has resulted in both profound economic progress and a multitude of troubling unintended consequences, from deepening divides and loss of collective responsibility to a growing list of existential threats.The only viable response is to reconnect with our collaborative roots and undertake what the authors call a humanist revolution, a global effort to redefine human progress, rebuild our core systems to contribute to that progress, and reset our all too human behaviors and aspirations, while becoming the active, careful human-first stewards of technology itself.The revolution, guided by what the authors call a 21st Century Humanist Code asks all of us to work towards the world we want to live in - for each and every human to become the center and source of change in their lives, in their communities and the world beyond. The future of humankind and our planet depends on it.

Materials for Energy Storage offers a combinatorial understanding of materials science and electrochemistry in electrochemical energy storage devices with a holistic overview of the status, research gaps, and future opportunities. Rooted in a profound understanding of contemporary energy utilization, aligned with the sustainable development goals, this book delves deep into the several device chemistries, impact of nanomaterials, and critical factors related to the device performance. It discusses electrode-electrolyte interaction, device fabrication, and commercial aspects. This book will offer value to the graduate and postgraduate students, researchers, and industry professionals related to materials science and energy technology.

Polymer-supported organic catalysts are largely insoluble in most reaction solvents, which allows for easy recovery and recycling of the catalysts. They are generally stable, readily available, and environmental friendly, so they have attracted the interest of many synthetic chemists in the industrial and academic fields. In this book, different types of polymer-supported catalysts based on peptides, polystyrene, polyethers, poly(acrylic acid), poly(ethylene imine), poly(2-oxazoline), poly(isobutylene), poly(norbornene), etc., as well as metals are included with their synthetic organic synthesis applications.It is believed that this work will be of interest to organic chemists, material scientists, chemical engineers, polymer scientists and technologists.

Written by an experienced statistics educator and two data scientists, this book unifies conventional statistical thinking and contemporary machine learning framework into a single overarching umbrella over data science. The book is designed to bridge the knowledge gap between conventional statistics and machine learning. It provides an accessible approach for readers with a basic statistics background to develop a mastery of machine learning. The book starts with elucidating examples in Chapter 1 and fundamentals on refined optimization in Chapter 2, which are followed by common supervised learning methods such as regressions, classification, support vector machines, tree algorithms, and range regressions. After a discussion on unsupervised learning methods, it includes a chapter on unsupervised learning and a chapter on statistical learning with data sequentially or simultaneously from multiple resources.One of the distinct features of this book is the comprehensive coverage of the topics in statistical learning and medical applications. It summarizes the authors' teaching, research, and consulting experience in which they use data analytics. The illustrating examples and accompanying materials heavily emphasize understanding on data analysis, producing accurate interpretations, and discovering hidden assumptions associated with various methods.Key Features: Unifies conventional model-based framework and contemporary data-driven methods into a single overarching umbrella over data science. Includes real-life medical applications in hypertension, stroke, diabetes, thrombolysis, aspirin efficacy. Integrates statistical theory with machine learning algorithms. Includes potential methodological developments in data science.

This classic text, originally from the noted logician Elliot Mendelson, is intended to be an easy-to-read introduction to the basic ideas and techniques of game theory. It can be used as a class textbook or for self-study. Introducing Game Theory and its Applications presents an easy-to-read introduction to the basic ideas and techniques of game theory. After a brief introduction, the authors begin with a chapter devoted to combinatorial games--a topic neglected or treated minimally in most other texts. The focus then shifts to two-person zero-sum games and their solution.Here the authors present the simplex method, based on linear programming, for solving these games and develop within this presentation the required background. The final chapter presents some of the fundamental ideas and tools of non-zero-sum games and games with more than two players, including an introduction to cooperative game theory. The book is suitable for a first undergraduate course in game theory, or a graduate course for students with limited previous exposure. It is useful for students who need to learn some game theory for a related subject (e.g., microeconomics) and have a limited mathematical background. It also prepares its readers for more advanced study of game theory's applications in economics, business, and the physical, biological, and social sciences.The authors hope this book breeds curiosity into the subject and is designed to satisfy this to some extent by reading this book. The book will prepare readers for deeper study of game theory applications in many fields of study.

This book aims to solve the discrete implementation problems of continuous-time neural network models while improving the performance of neural networks by using various Zhang Time Discretization (ZTD) formulas.The authors summarize and present the systematic derivations and complete research of ZTD formulas from special 3S-ZTD formulas to general NS-ZTD formulas. These finally led to their proposed discrete-time Zhang neural network (DTZNN) algorithms, which are more efficient, accurate, and elegant. This book will open the door to scientific and engineering applications of ZTD formulas and neural networks, and will be a major inspiration for studies in neural network modeling, numerical algorithm design, prediction, and robot manipulator control.The book will benefit engineers, senior undergraduates, graduate students, and researchers in the fields of neural networks, computer mathematics, computer science, artificial intelligence, numerical algorithms, optimization, robotics, and simulation modeling.

This book fulfils the need of doctors, medical students and all healthcare personnel for information that addresses fundamental patient safety concepts that are not usually covered in conventional medical curricula.There are three valuable features. First, the content encompasses the main areas of human factors and patient safety in short and easily accessible language supplemented by anecdotes from safety-critical industries such as aviation and nuclear power. Second, each chapter highlights the problems of human error and provides solutions that help to reduce the risks to patients. Finally, the coverage highlights the important role the public should play in protecting their own safety when in contact with healthcare systems.Medical doctors and medical students will benefit from this practical guide.

For the past two millennia, Ganoderma has been prized as the "mushroom of immortality" in ancient Asian cultures, owing to its health benefits. Modern research has further revealed that the genus is rich in bioactive components, including polysaccharides and triterpenoids, uncovering various medicinal prospects both in vitro and in vivo. Clinical trials conducted so far emphasize the safe and effective use of the mushrooms, with a particular focus on Ganoderma lucidum. Currently, the Ganoderma-based industry is witnessing a significant surge, offering a plethora of dietary and medicinal products. Recognizing the impact of these developments, the book, "Ganoderma: Cultivation, Chemistry, and Medicinal Applications Volume 2," aims to consolidate the latest information on the macrofungi, emphasizing its bioactive compounds, diverse therapeutic effects, and industrial applications.Key Features -- The book provides a thorough exploration of Ganoderma polysaccharides, unravelling their chemical composition, structure, and potential health benefits.- Comprehensive coverage is dedicated to understand antimicrobial properties of the medicinal mushrooms. The text also delves into the potential role of Ganoderma in safeguarding against various skin diseases, accompanied by discussions on underlying mechanisms.- A detailed examination of Ganoderma includes its potential cardioprotective effects, encompassing impacts on blood pressure, cholesterol level, and overall heart function. The book also provides an in-depth analysis of capacity of the macrofungi to stimulate immune system.- The volume encompasses findings related to the impact of Ganoderma on prevention or mitigation of neurodegenerative diseases.- Additionally, it contributes to the understanding of medicinal applications by exploring Ganoderma-based nanoparticles, offering novel insights into potential therapeutic avenues.- A comprehensive overview of the Ganoderma-inspired industry highlights its diverse contributions ranging from dietary supplements, cosmeceuticals, nutricosmetics, and healthcare products.

This vital work for researchers and graduate students focuses on resilience estimation and control of cyber-physical networked systems using attacker-defender game theory. It presents attack and defense strategies and describes the design and resilience of control systems to withstand cyberattacks.Complex control systems, including cyber-physical and cloud control systems, are in open network environments and are often confronted with threats from cyberspace, physical space and even cloud service. With diversified and intelligent attack patterns and improvements in attack capabilities, non-contact damage can be widespread. In this book, the authors use a formal, mathematical approach to introduce their recent research findings to describe and design attack and defense strategies using game theoretic method. The book is divided into three sections, focusing on strategies for resilience against deception attacks and DoS attacks, and protecting cloud control systems against threats. In these sections, the authors address topics such as secure and distributed filtering, attack detection and disturbance rejection, resilient state estimation, and resilient control, and techniques such as Stackelberg games, hierarchical games, and active eavesdropping. Through this book readers will be able to design effective defense strategies for complex control system to achieve resilience for closed-control cyber physical systems, network and cloud systems.This book is a vital resource for graduate students and academic researchers who are familiar with the concepts related to cyberattack and defense and who have a related research background. To maximize their benefit from this book, readers are recommended to have a strong mathematical foundation as the book takes a mathematical approach to the concepts and strategies described within.

This illustrated guide to identifying or confirming blood disorders in paediatric patients presents examples of the abnormal morphology involved. Clinicians in both Haematology and Paediatrics will find this an invaluable resource. Provides an authoritative visual guide for standard morphology in paediatric harmatology disorders. Offers a reliable guide for registrars in haematology and paediatrics. Presents expert guidance for clinical identification and confirmation of diagnoses.

Covering the three underlying technologies of Web pages: HTML, CSS, and JavaScript, this book is a one-stop guide to getting started in web development, be it in a class or as a solo-learner. Starting with no prerequisites beyond minimal exposure to programming, this book guides readers in an accessible fashion through modern page layout methods to building a complete site.This book develops an understanding of the structure of a page (i.e. how its parts fit together to convey its content to site users), how styles can make the content attractive and appealing, and how short programs and scripts can add everything from simple interactivity to complex calculations to your pages. With a wealth of in-depth example, review questions, exercises, and online sources and videos, readers are encouraged to excel in all of these areas, learning how to add animations, timing, designs that change in response to the characteristics of a display device, and more.Building knowledge from the ground-up, this book appeals to those looking to learn web development from a range of backgrounds, be it academic, professional or personal.

This book provides sample exercises, techniques, and solutions to employ mathematical modeling to solve problems in Operations Research and Business Analytics. Each chapter begins with a scenario and includes exercises built on realistic problems faced by managers and others working in operations research, business analytics, and other fields employing applied mathematics. A set of assumptions is presented and then a model is formulated. A solution is offered followed by examples of how that model can be used to address related issues.Key elements of this book include the most common problems the authors have encountered over research and consulting including inventory theory, facilities location, linear and integer programming, assignment, transportation and shipping, critical path, dynamic programming, queuing models, simulation models, reliability of system, multi-attribute decision making and game theory.In the hands of an experienced professional, mathematical modeling can be a powerful tool. This book presents situations and models to help both professionals and students learn to employ these techniques to improve outcomes and to make addressing real business problems easier. The book is essential for all managers and others who would use mathematics to improve their problem-solving techniques.No previous exposure to mathematical modeling is required. The book can then be used for a first course on modeling, or for those with more experience who want to refresh their memories when they find themselves facing real-world problems. The problems chosen are presented to represent those faced by practitioners.The authors have been teaching mathematical modeling to students and professionals for nearly forty years. This book is presented to offer their experience and techniques to instructors, students, and professionals.

This book provides the analytical tools to characterize nonlinear distorted multicarrier signals and optimal/sub-optimal receivers employed in high data rate communication systems.Unified Theoretical Analysis of Nonlinear Multicarrier Schemes introduces new optimal and sub-optimal receivers for nonlinear distorted signals that can use nonlinear distortion to improve performance when compared with common receivers. It addresses the analysis of nonlinear systems with stochastic inputs and establishes new receivers designs for multi-carrier communication systems with nonlinearities. The authors also include the characterization and definition of optimum and sub-optimum receivers for nonlinear distorted signals that may use the nonlinear distortion to improve receiver performance over the existing ones. The book also includes a set of applications where the analytical unified method for characterization of nonlinear distortion can be applied. The two final chapters of the book include systems like MIMO OFDM and the extension to optical systems. These techniques are the base of 5G, Wi-fi and future 6G mobile networks.The book will be a valuable resource for design engineers, industrial engineers, applications engineers and researchers working on multi-carrier systems, power amplifiers modelling and design.

Ethical Artificial Intelligence in Power Electronics focuses on the techniques of artificial intelligence that are used in the power electronics field, with particular emphasis on the optimization of lost vehicle power and the vehicular ad-hoc networks (VANETs) environment. Power energy is considered the most basic requirement for the development of today's life. This book examines how the most efficient methods, algorithms, and strategies of Ethical Artificial Intelligence may be applied with the aim of optimizing the powerful energy of vehicles and to produce reliable energy. The book gives a practical introduction to the difficulties of power energy faced by vehicles in the extremely congested VANETs conditions and shares approaches to resolve these issues by optimizing the energy performance in the vehicles by the new Ethical-AI methods. The book covers current power energy concerns faced by vehicles and contributes a novel strategy to overcome these concerns. The employment of Ethical-AI strategy in vehicular power energy will undoubtedly improve the effectiveness and production of vehicles.

This book introduces Probability Theory with R software and explains abstract concepts in a simple and easy-to-understand way by combining theory and computation. It discusses conceptual and computational examples in detail, to provide a thorough understanding of basic techniques and develop an enjoyable read for students seeking suitable material for self-study. It illustrates fundamental concepts including fields, sigma-fields, random variables and their expectations, various modes of convergence of a sequence of random variables, laws of large numbers and the central limit theorem. - Computational exercises based on R software are included in each Chapter - Includes a brief introduction to the basic functions of R software for beginners in R and serves as a ready reference. - Includes Numerical computations, simulation studies, and visualizations using R software as easy tools to explain abstract concepts - Provides multiple-choice questions for practice - Incorporates self-explanatory R codes in every chapter This textbook is for advanced students, professionals, and academic researchers of Statistics, Biostatistics, Economics and Mathematics.

Innovation is a critical facilitator in today's fast changing global value chain landscape. This book traverses the interplay of technological breakthroughs enabling efficiency and intelligence within value chains making them smart yet sustainable. From service models and smart technologies to application of smart global value chains across sectors, this book offers a unique insight into the transformational role of smart global value chains in bringing agility and sustainability to the global value chain ecosystem.This book is an essential guide for academics, industry leaders, policy makers to navigate the future where smart technologies like artificial intelligence, machine learning, blockchain, IoT and beyond reshape the global economic landscape.

This book presents an analysis of the existing surveys in the literature of batteries, chargers, control systems, battery management systems, plugs, sockets, drives and fuel cell based and plug in smart electric and hybrid vehicles. It provides detailed comparative analysis of parameters of intelligent electric and hybrid vehicles with conventional vehicles and depth in knowledge of power electronics tools in smart electric and hybrid vehicles. This book compiles the research work and findings in advancements of smart electric and hybrid vehicles from automobile, mechanical, electronic, electrical, computer science and allied engineering domains and explains how smart electric and hybrid vehicles can be utilized for harmful emissions over the entire life cycle of vehicle and how reliance on fossil fuels can be cut down.This book: Discusses different types of lightweight and robust materials for the fabrication of smart electric and hybrid vehicles. Presents computational models, emerging technologies, numerical techniques, and environmental and economic benefits applicable to electric vehicles. Highlights the applications of smart and hybrid vehicles in diverse sectors including aerospace, agriculture, defense, and medical. Covers electromechanical drives, storage systems, wireless charging, and component design for smart electric and hybrid vehicles. Showcases a detailed comparative analysis of parameters of intelligent electric and hybrid vehicles with conventional vehicles. It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electrical and electronics engineering, computer engineering, and automotive engineering.

This book aims to take beginner and intermediate programming hobbyists to the next level by challenging them with exciting bite-size projects rooted in actual scientific and engineering problems.Each chapter introduces a set of simple techniques and shows a variety of situations where they can be applied. The main feature of the book is the choice of topics that are designed to be both entertaining and serious. Most of the projects strive to analyze or simulate something found in the real world, covering molecules and planets, plants and animals, bacteria and robots. Engaging in these excursions is a great way to hone coding skills while exploring diverse areas of human knowledge.The variety of discussed subjects and creative project ideas make the book a perfect choice for aspiring coders thinking where to apply their growing skills.