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Electronic Circuit Analysis using LTSpice XVII Simulator A Practical Guide for Beginners

The Physics of Flight A Primer

Smart Autonomous Aircraft Flight Control and Planning for UAV

Smart Autonomous Aircraft Flight Control and Planning for UAV

With the extraordinary growth of Unmanned Aerial Vehicles (UAV) in research military and commercial contexts there has been a need for a reference that provides a comprehensive look at the latest research in the area. Filling this void Smart Autonomous Aircraft: Flight Control and Planning for UAV introduces the advanced methods of flight control planning situation awareness and decision making. This book is among the first to emphasize the theoretic and algorithmic side of control and planning in dynamic and uncertain environments. Focused on the latest theory that informs flight planning and control it describes the use of computational intelligence modeling control and planning. Providing background information on fixed-wing unmanned aerial vehicles the book proceeds from the basics to advanced methods from classical to the most innovative. It examines the current state of the art and covers the topics required to assess the autonomy of UAVs. An ideal resource for researchers and practitioners working on solutions for implementing advanced capabilities in UAVs the book details the mathematical underpinnings of each concept and includes illustrative case studies to reinforce understanding. Providing an interdisciplinary point of view on autonomous aircraft the book reviews the different methodologies of control and planning used to create smart autonomous aircraft. The topics covered in this book have been derived from the author’s research and teaching duties in smart aerospace and autonomous systems and from literature survey. Assuming an understanding of engineering at the undergraduate level this book is suitable for advanced-level graduate students and PhD students enrolled in UAV or aerial robotics courses. | Smart Autonomous Aircraft Flight Control and Planning for UAV

GBP 51.99
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The Future of Correctional Rehabilitation Moving Beyond the RNR Model and Good Lives Model Debate

The Future of Correctional Rehabilitation Moving Beyond the RNR Model and Good Lives Model Debate

In the aftermath of Martinson’s 1974 nothing works doctrine scholars have made a concerted effort to develop an evidence-based corrections theory and practice to show what works to change offenders. Perhaps the most important contribution to this effort was made by a group of Canadian psychologists most notably Donald Andrews James Bonta and Paul Gendreau who developed a treatment paradigm called the Risk-Need-Responsivity (RNR) model which became the dominant theory of correctional treatment. This approach was more recently challenged by a perspective developed by Tony Ward Shadd Maruna and others called the Good Lives Model (GLM). Based in part on desistance research and positive psychology this model proposes to rehabilitate offenders by building on the strengths offenders possess. GLM proponents see the RNR model as a deficit model that fixes dynamic risk factors rather than identifying what offenders value most and using these positive factors to pull them out of crime. Through a detailed examination of both models’ theoretical and correctional frameworks The Future of Correctional Rehabilitation: Moving Beyond the RNR Model and Good Lives Model Debate probes the extent to which the models offer incompatible or compatible approaches to offender treatment and suggests how to integrate the RNR and GLM approaches to build a new and hopefully more effective vision for offender treatment. A foreword by renowned criminologist Francis T. Cullen helps put the material into context. This book will be of much interest to scholars and students studying correctional rehabilitation as well as practitioners working with offenders. | The Future of Correctional Rehabilitation Moving Beyond the RNR Model and Good Lives Model Debate

GBP 52.99
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The Standard Model and Beyond

The Standard Model and Beyond

This new edition of The Standard Model and Beyond presents an advanced introduction to the physics and formalism of the standard model and other non-abelian gauge theories. It provides a solid background for understanding supersymmetry string theory extra dimensions dynamical symmetry breaking and cosmology. In addition to updating all of the experimental and phenomenological results from the first edition it contains a new chapter on collider physics; expanded discussions of Higgs neutrino and dark matter physics; and many new problems. The book first reviews calculational techniques in field theory and the status of quantum electrodynamics. It then focuses on global and local symmetries and the construction of non-abelian gauge theories. The structure and tests of quantum chromodynamics collider physics the electroweak interactions and theory and the physics of neutrino mass and mixing are thoroughly explored. The final chapter discusses the motivations for extending the standard model and examines supersymmetry extended gauge groups and grand unification. Thoroughly covering gauge field theories symmetries and topics beyond the standard model this text equips readers with the tools to understand the structure and phenomenological consequences of the standard model to construct extensions and to perform calculations at tree level. It establishes the necessary background for readers to carry out more advanced research in particle physics. Supplementary materials are provided on the author’s website and a solutions manual is available for qualifying instructors.

GBP 44.99
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Mixture Model-Based Classification

Mixture Model-Based Classification

This is a great overview of the field of model-based clustering and classification by one of its leading developers. McNicholas provides a resource that I am certain will be used by researchers in statistics and related disciplines for quite some time. The discussion of mixtures with heavy tails and asymmetric distributions will place this text as the authoritative modern reference in the mixture modeling literature. (Douglas Steinley University of Missouri)Mixture Model-Based Classification is the first monograph devoted to mixture model-based approaches to clustering and classification. This is both a book for established researchers and newcomers to the field. A history of mixture models as a tool for classification is provided and Gaussian mixtures are considered extensively including mixtures of factor analyzers and other approaches for high-dimensional data. Non-Gaussian mixtures are considered from mixtures with components that parameterize skewness and/or concentration right up to mixtures of multiple scaled distributions. Several other important topics are considered including mixture approaches for clustering and classification of longitudinal data as well as discussion about how to define a clusterPaul D. McNicholas is the Canada Research Chair in Computational Statistics at McMaster University where he is a Professor in the Department of Mathematics and Statistics. His research focuses on the use of mixture model-based approaches for classification with particular attention to clustering applications and he has published extensively within the field. He is an associate editor for several journals and has served as a guest editor for a number of special issues on mixture models.

GBP 44.99
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The Biological Resources of Model Organisms

The Biological Resources of Model Organisms

This book discusses 14 model organisms and are used by thousands of researchers teachers and students each year in laboratories and classrooms around the globe. Though acknowledged in innumerable scientific journal articles little is generally known about the origin of these collections how the organisms contained within them have been acquired and how they are maintained and distributed. While some collections such as Drosophila have long histories others such as the collection of Brachionus are relatively new. They vary greatly in size. Yet all have contributed and are continuing to contribute to global research efforts in many areas of scientific research as diverse as tissue regeneration skin cancer evolution water purity gene function and hundreds of others. In addition to providing the raw materials for national and international research programs these collections also provide educational tools used by colleges and high schools. The chapters in this book attempt to provide a brief look at the individual organisms how they came to be accepted as model organisms the history of the individual collections examples of how the organisms have been and are being used in scientific research and a description of the facilities and procedures used to maintain them. Features:• Provides an in-depth look at the collections of 14 model organisms that have enabled innumerable scientific breakthroughs over decades and that continue to do so. • Includes detailed descriptions of the operating procedures used for the maintenance of each model organism collection. • Discusses the holdings of the collections of model organisms and its relevance to past current and future scientific research. • Written by the leaders in the field of the management of model organisms. | The Biological Resources of Model Organisms

GBP 44.99
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Blade Element Rotor Theory

Business Model Innovation Concepts Analysis and Cases

Model-free Hedging A Martingale Optimal Transport Viewpoint

Multilevel Model Foundations Monopoly Data and Stata

Multilevel Model Foundations Monopoly Data and Stata

This book introduces the foundations of multilevel models using Monopoly® rent data from the classic board game and the statistical program Stata®. Widespread experience with the game means many readers have a head start on understanding these models. The small-data set 132 rent values for 22 properties clustered by the four sides of the playing board combines with extensive graphical displays of data and results so all readers can see core multilevel ideas in action at a granular level. Two chapters on standard statistical models one-way analysis of variance and multiple regression help readers see how multilevel models rely on but also extend these monolevel ideas. Chapters present three basic multilevel models for cross-sectional analyses – analysis of variance analysis of covariance and random coefficients regression – and one basic developmental model for longitudinal analyses. Troubleshooting guidance combined with close examination of data patterns and careful inspection of model parameters all help readers better grasp what model results mean when model results should or should not be trusted and how model results link back to core theoretical questions. Consequently readers will develop a sense of best practices for building and diagnosing their own multilevel models. Those who complete the volume can readily apply what they have learned to more complex datasets and models and adapt available online Stata do files to those projects. Any social scientist working with data clustered in time in space or in both and seeking to learn more about how to use interpret or teach these models will find the book useful. | Multilevel Model Foundations Monopoly® Data and Stata

GBP 48.99
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Legal Ethics for Lawyers A New Model

Legal Ethics for Lawyers A New Model

This book proposes a new model of professional ethics enabling lawyers to advise clients upon both the law and ethics. This will better protect clients and society and enhance lawyers’ professional obligations. The current model of legal ethics developed in the 19th century specified that the role of lawyers was only to interpret the law not also to give ethical advice. This was acceptable to lawyers clients and society at that time. However this is not the case now and legal ethics no longer reflects the needs of modern legal practice. This book draws on moral philosophy to present a new model of legal ethics that explains the analytical process to include ethical advice. It analyses the potential harm of the present model to the legal profession who have duties to the law and justice that may compete with demands by clients to serve them. Further lawyers’ duty to clients to act in their best interests is sometimes not adequately fulfilled as legal ethics does not permit lawyers to give ethical advice even if it may be in clients’ best interests to do so. The work includes a detailed case study of corporate law practice to show why a new legal ethics is required. Other case examples are provided to demonstrate that lawyers practicing in all areas of law encounter ethical issues and they too will benefit from a new legal ethics. The book will be essential reading for students academics lawyers and professional bodies. | Legal Ethics for Lawyers A New Model

GBP 44.99
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A Kryptic Model of the Incarnation

Model-Assisted Bayesian Designs for Dose Finding and Optimization Methods and Applications

Model-Assisted Bayesian Designs for Dose Finding and Optimization Methods and Applications

Bayesian adaptive designs provide a critical approach to improve the efficiency and success of drug development that has been embraced by the US Food and Drug Administration (FDA). This is particularly important for early phase trials as they form the basis for the development and success of subsequent phase II and III trials. The objective of this book is to describe the state-of-the-art model-assisted designs to facilitate and accelerate the use of novel adaptive designs for early phase clinical trials. Model-assisted designs possess avant-garde features where superiority meets simplicity. Model-assisted designs enjoy exceptional performance comparable to more complicated model-based adaptive designs yet their decision rules often can be pre-tabulated and included in the protocol—making implementation as simple as conventional algorithm-based designs. An example is the Bayesian optimal interval (BOIN) design the first dose-finding design to receive the fit-for-purpose designation from the FDA. This designation underscores the regulatory agency's support of the use of the novel adaptive design to improve drug development. Features Represents the first book to provide comprehensive coverage of model-assisted designs for various types of dose-finding and optimization clinical trials Describes the up-to-date theory and practice for model-assisted designs Presents many practical challenges issues and solutions arising from early-phase clinical trials Illustrates with many real trial applications Offers numerous tips and guidance on designing dose finding and optimization trials Provides step-by-step illustrations of using software to design trials Develops a companion website (www. trialdesign. org) to provide freely available easy-to-use software to assist learning and implementing model-assisted designs Written by internationally recognized research leaders who pioneered model-assisted designs from the University of Texas MD Anderson Cancer Center this book shows how model-assisted designs can greatly improve the efficiency and simplify the design conduct and optimization of early-phase dose-finding trials. It should therefore be a very useful practical reference for biostatisticians clinicians working in clinical trials and drug regulatory professionals as well as graduate students of biostatistics. Novel model-assisted designs showcase the new KISS principle: Keep it simple and smart! | Model-Assisted Bayesian Designs for Dose Finding and Optimization Methods and Applications

GBP 84.99
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Model-Based Clustering Classification and Density Estimation Using mclust in R

Model-Based Clustering Classification and Density Estimation Using mclust in R

Model-based clustering and classification methods provide a systematic statistical approach to clustering classification and density estimation via mixture modeling. The model-based framework allows the problems of choosing or developing an appropriate clustering or classification method to be understood within the context of statistical modeling. The mclust package for the statistical environment R is a widely adopted platform implementing these model-based strategies. The package includes both summary and visual functionality complementing procedures for estimating and choosing models. Key features of the book: An introduction to the model-based approach and the mclust R package A detailed description of mclust and the underlying modeling strategies An extensive set of examples color plots and figures along with the R code for reproducing them Supported by a companion website including the R code to reproduce the examples and figures presented in the book errata and other supplementary material Model-Based Clustering Classification and Density Estimation Using mclust in R is accessible to quantitatively trained students and researchers with a basic understanding of statistical methods including inference and computing. In addition to serving as a reference manual for mclust the book will be particularly useful to those wishing to employ these model-based techniques in research or applications in statistics data science clinical research social science and many other disciplines.

GBP 52.99
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Social Entrepreneurship for Development A business model

A First Course in Linear Model Theory

A First Course in Linear Model Theory

Thoroughly updated throughout A First Course in Linear Model Theory Second Edition is an intermediate-level statistics text that fills an important gap by presenting the theory of linear statistical models at a level appropriate for senior undergraduate or first-year graduate students. With an innovative approach the authors introduce to students the mathematical and statistical concepts and tools that form a foundation for studying the theory and applications of both univariate and multivariate linear models. In addition to adding R functionality this second edition features three new chapters and several sections on new topics that are extremely relevant to the current research in statistical methodology. Revised or expanded topics include linear fixed random and mixed effects models generalized linear models Bayesian and hierarchical linear models model selection multiple comparisons and regularized and robust regression. New to the Second Edition: Coverage of inference for linear models has been expanded into two chapters. Expanded coverage of multiple comparisons random and mixed effects models model selection and missing data. A new chapter on generalized linear models (Chapter 12). A new section on multivariate linear models in Chapter 13 and expanded coverage of the Bayesian linear models and longitudinal models. A new section on regularized regression in Chapter 14. Detailed data illustrations using R. The authors' fresh approach methodical presentation wealth of examples use of R and introduction to topics beyond the classical theory set this book apart from other texts on linear models. It forms a refreshing and invaluable first step in students' study of advanced linear models generalized linear models nonlinear models and dynamic models.

GBP 82.99
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Artificial Intelligence in a Throughput Model Some Major Algorithms

Intellectual Disability and Being Human A Care Ethics Model

Intellectual Disability and Being Human A Care Ethics Model

Intellectual disability is often overlooked within mainstream disability studies and theories developed about disability and physical impairment may not always be appropriate when thinking about intellectual (or learning) disability. This pioneering book in considering intellectually disabled people's lives sets out a care ethics model of disability that outlines the emotional caring sphere where love and care are psycho-socially questioned the practical caring sphere where day-to-day care is carried out and the socio-political caring sphere where social intolerance and aversion to difficult differences are addressed. It does so by discussing issue-based everyday life such as family relationships media representations and education in an evocative and creative manner. This book draws from an understanding of how intellectual disability is represented in all forms of media a feminist ethics of care and capabilities as well as other theories to provide a critique and alternative to the social model of disability as well as illuminate care-less spaces that inhabit all the caring spheres. The first two chapters of the book provide an overview of intellectual disability the debates surrounding disability and outline the model. Having begun to develop an innovative theoretical framework for understanding intellectual disability and being human the book then moves onto empirical and narrative driven issue-based chapters. The following chapters build on the emergent framework and discuss the application of particular theories in three different substantive areas: education mothering and sexual politics. The concluding remarks draw together the common themes across the applied chapters and link them to the overarching theoretical framework. An important read for all those studying and researching intellectual or learning disability this book will be an essential resource in sociology philosophy criminology (law) social work education and nursing in particular. | Intellectual Disability and Being Human A Care Ethics Model

GBP 44.99
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An Evidence-based Guide to College and University Teaching Developing the Model Teacher

An Evidence-based Guide to College and University Teaching Developing the Model Teacher

An Evidence-based Guide to College and University Teaching outlines a definition of model teaching based on research evidence and accepted best practices in high education. Teachers at all levels of skill and experience can benefit from clear objective guidelines for defining and measuring quality teaching. To fulfil this need this book outlines six fundamental areas of teaching competency—model teaching characteristics—and provides detailed definitions of each characteristic. The authors define these essential characteristics as training course content the assessment process instructional methods syllabus construction and the use of student evaluations. This guide outlines through research and supplemental evidence how each characteristic can be used toward tenure promotion teaching portfolios and general professional development. Additional features include a self-assessment tool that corresponds to the model teaching characteristics case studies illustrating common teaching problems and lists of must reads about college teaching. An Evidence-based Guide to College and University Teaching describes how college faculty from all disciplines and at all levels of their career – from graduate students to late-career faculty – can use the model teaching characteristics to evaluate guide and improve their teaching. The book is additionally useful for teachers trainers and administrators responsible for promoting excellence in college teaching. | An Evidence-based Guide to College and University Teaching Developing the Model Teacher

GBP 44.99
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Evaluating the Brain Disease Model of Addiction

Evaluating the Brain Disease Model of Addiction

This ground-breaking book advances the fundamental debate about the nature of addiction. As well as presenting the case for seeing addiction as a brain disease it brings together all the most cogent and penetrating critiques of the brain disease model of addiction (BDMA) and the main grounds for being skeptical of BDMA claims. The idea that addiction is a brain disease dominates thinking and practice worldwide. However the editors of this book argue that our understanding of addiction is undergoing a revolutionary change from being considered a brain disease to a disorder of voluntary behavior. The resolution of this controversy will determine the future of scientific progress in understanding addiction together with necessary advances in treatment prevention and societal responses to addictive disorders. This volume brings together the various strands of the contemporary debate about whether or not addiction is best regarded as a brain disease. Contributors offer arguments for and against and reasons for uncertainty; they also propose novel alternatives to both brain disease and moral models of addiction. In addition to reprints of classic articles from the addiction research literature each section contains original chapters written by authorities on their chosen topic. The editors have assembled a stellar cast of chapter authors from a wide range of disciplines – neuroscience philosophy psychiatry psychology cognitive science sociology and law – including some of the most brilliant and influential voices in the field of addiction studies today. The result is a landmark volume in the study of addiction which will be essential reading for advanced students and researchers in addiction as well as professionals such as medical practitioners psychiatrists psychologists of all varieties and social workers. | Evaluating the Brain Disease Model of Addiction

GBP 66.99
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The Comprehensive Resource Model Effective therapeutic techniques for the healing of complex trauma

The Comprehensive Resource Model Effective therapeutic techniques for the healing of complex trauma

Traditional methods employed in psychotherapy have limited effectiveness when it comes to healing the psychological effects of trauma in particular complex trauma. While a client may seem to make significant breakthroughs in understanding their feelings and experiences on a rational level by talking with a therapist this will make no difference to their post-traumatic symptoms if the midbrain is unable to modulate its activity in response. The Comprehensive Resource Model argues for a novel therapeutic approach which uniquely bridges neuroscience and spirituality through a combination of somatic therapy traditional psychotherapy and indigenous healing concepts to provide effective relief to survivors of trauma. The Comprehensive Resource Model was developed in response to the need for a streamlined integrative therapeutic model; one which engages a scaffolding of neurobiological resources in many brain structures simultaneously in order for clients to be fully embodied and conscious in the present moment while processing their traumatic material. All three phases of trauma therapy: resourcing processing and integration are done simultaneously. Demonstrating a nested model and employing brain and body-based physiological safety as the foundation of healing chapters describe three primary categories of targeted processing: implicit and explicit survival terror ‘Little T Truths’ and ‘Big T Truths’ all of which contribute to thorough healing of complex trauma and an expansion into higher states of consciousness and embodiment of the essential core self. This book describes the development and benefits of this pioneering new approach to trauma therapy. As such it will be of key interest to academics researchers and postgraduate students in the fields of psychiatry psychotherapy psychology and trauma studies. It will also appeal to practising therapists psychiatrists psychologists psychiatric nurses and to others involved in the treatment or management of patients with complex trauma disorders. | The Comprehensive Resource Model Effective therapeutic techniques for the healing of complex trauma

GBP 46.99
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Data Analysis A Model Comparison Approach To Regression ANOVA and Beyond Third Edition

Data Analysis A Model Comparison Approach To Regression ANOVA and Beyond Third Edition

Data Analysis: A Model Comparison Approach to Regression ANOVA and Beyond is an integrated treatment of data analysis for the social and behavioral sciences. It covers all of the statistical models normally used in such analyses such as multiple regression and analysis of variance but it does so in an integrated manner that relies on the comparison of models of data estimated under the rubric of the general linear model. Data Analysis also describes how the model comparison approach and uniform framework can be applied to models that include product predictors (i. e. interactions and nonlinear effects) and to observations that are nonindependent. Indeed the analysis of nonindependent observations is treated in some detail including models of nonindependent data with continuously varying predictors as well as standard repeated measures analysis of variance. This approach also provides an integrated introduction to multilevel or hierarchical linear models and logistic regression. Finally Data Analysis provides guidance for the treatment of outliers and other problematic aspects of data analysis. It is intended for advanced undergraduate and graduate level courses in data analysis and offers an integrated approach that is very accessible and easy to teach. Highlights of the third edition include: a new chapter on logistic regression; expanded treatment of mixed models for data with multiple random factors; updated examples; an enhanced website with PowerPoint presentations and other tools that demonstrate the concepts in the book; exercises for each chapter that highlight research findings from the literature; data sets R code and SAS output for all analyses; additional examples and problem sets; and test questions. | Data Analysis A Model Comparison Approach To Regression ANOVA and Beyond Third Edition

GBP 77.99
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Mechatronic Systems and Process Automation Model-Driven Approach and Practical Design Guidelines

Supervision in School Psychology The Developmental Ecological Problem-solving Model

Supervision in School Psychology The Developmental Ecological Problem-solving Model

Supervision in School Psychology: The Developmental Ecological Problem-solving Model examines specific factors that contribute to successful supervision in school psychology including the integration of a developmental process of training the ecological contexts that impact practice and evidence-based problem-solving strategies. Supervision is a core professional competency requiring specific training for the benefit of supervisees clients and the profession. Written for graduate students researchers and professionals in the field of school psychology this book provides thorough specific and immediately applicable methods and principles for supervisory practice. Featuring a diverse set of pedagogical tools Supervision in School Psychology is an important resource for navigating the distinct challenges specific to the demanding and diverse competencies associated with supervision in school-based settings. This second edition is significantly expanded and includes updated research on best practices in school psychology supervision. Expanded coverage and new chapters address system change and social justice advocacy skills problems in professional competence self-care telesupervision and deliberate practice. Maintaining DEP’s focus on the practical application of best practices additional strategies are presented for teaching diveristy and multicultural responsiveness anchored in cultural humility. Supplemental case study material supervisory process and reflection activities tables graphics and practice-ready appendices as tools that illustrate best practices in supervision. | Supervision in School Psychology The Developmental Ecological Problem-solving Model

GBP 44.99
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