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The volume brings together an international group of authors discussing basic concepts and approaches to plural policing as well as aspects and practices of plural policing in specific locations. The context comes from the fact that policing activities are nowadays performed by a growing number and variety of police and non-police stakeholders.

This 5th edition of this popular graduate textbook presents a balanced and comprehensive treatment of both time and frequency domain methods with accompanying theory. It includes numerous examples using nontrivial data illustrate solutions to problems such as discovering natural and anthropogenic climate change, evaluating pain perception experiments using functional magnetic resonance imaging, and monitoring a nuclear test ban treaty. The R package ‘astsa’ has had major updates and the text will reflect those updates. In general, the graphics have been improved. New topics include random number generation, modeling and fitting predator-prey interactions, more emphasis on structural models, testing for linearity, discussion of EM algorithm is more extensive, Bayesian analysis of state space models and MCMC is more extensive (including new scripts in astsa), particle methods are introduced, stochastic volatility coverage is expanded, changepoint detection is introduced (new topic).The book is designed as a textbook for graduate level students in the physical, biological, and social sciences and as a graduate level text in statistics. Some parts may also serve as an undergraduate introductory course. Theory and methodology are separated to allow presentations on different levels. In addition to coverage of classical methods of time series regression, ARIMA models, spectral analysis and state-space models, the text includes modern developments including categorical time series analysis, multivariate spectral methods, long memory series, nonlinear models, resampling techniques, GARCH models, ARMAX models, stochastic volatility, and Markov chain Monte Carlo integration methods.This edition includes R code for each numerical example.

Taking Nietzsche’s commentary on the four essays in his autobiographical work Ecce Homo as its interpretive guide, this book also shows that the Untimely Meditations contain early expositions of concepts like the last man, the overman, the new philosopher, the creation of values, and the malleability of nature—all staples of his later philosophy.

This book explores the evolution of intelligence research over the past two decades, emphasizing the development and implementation of intelligence functions in private and public organizations. A comprehensive framework for conducting intelligence analysis is presented, establishing and operating intelligence teams, and addressing the adjacent ethical questions raised by the nature of this field of study.The key themes addressed include the methodology of intelligence analysis, the establishment of effective intelligence teams, and the concept of "disruptive intelligence," an emerging term referring to the identification of innovations with the potential to transform industries, making products more accessible and affordable. The book argues that recognizing these disruptions early allows incumbents to protect their businesses and new entrants to capitalize on emerging opportunities. This book stands out by blending theoretical insights with practical applications, making it an essential read for those involved in intelligence, strategic planning, and innovation management.

The main objective of this new edition is to facilitate the learning of radiology through a handbook that includes all disciplines of radiology. It is aimed to guide young trainees from the beginning of their radiology training and help them in the preparation of the European Diploma in Radiology (EDiR).

What is love for Sartre and Lacan? In Dialectics of Love in Sartre and Lacan, Sinan Richards examines Sartre’s and Lacan’s writings on love to draw out a distinctly Lacanian conception of love and subjectivity.

This text provides a mathematically rigorous introduction to modern methods of machine learning and data analysis at the advanced undergraduate/beginning graduate level. The book is self-contained and requires minimal mathematical prerequisites. There is a strong focus on learning how and why algorithms work, as well as developing facility with their practical applications. Apart from basic calculus, the underlying mathematics — linear algebra, optimization, elementary probability, graph theory, and statistics — is developed from scratch in a form best suited to the overall goals.  In particular, the wide-ranging linear algebra components are unique in their ordering and choice of topics, emphasizing those parts of the theory and techniques that are used in contemporary machine learning and data analysis.  The book will provide a firm foundation to the reader whose goal is to work on applications of machine learning and/or research into the further development of this highly active field of contemporary applied mathematics.To introduce the reader to a broad range of machine learning algorithms and how they are used in real world applications, the programming language Python is employed and offers a platform for many of the computational exercises. Python notebooks complementing various topics in the book are available on a companion GitHub site specified in the Preface, and can be easily accessed by scanning the QR codes or clicking on the links provided within the text. Exercises appear at the end of each section, including basic ones designed to test comprehension and computational skills, while others range over proofs not supplied in the text, practical computations, additional theoretical results, and further developments in the subject.  The Students’ Solutions Manual may be accessed from GitHub. Instructors may apply for access to the Instructors’ Solutions Manual from the link supplied on the text’s Springer website.The book can be used in a junior or senior level course for students majoring in mathematics with a focus on applications as well as students from other disciplines who desire to learn the tools of modern applied linear algebra and optimization. It may also be used as an introduction to fundamental techniques in data science and machine learning for advanced undergraduate and graduate students or researchers from other areas, including statistics, computer science, engineering, biology, economics and finance, and so on.

This book assembles new methods showing the automotive engineer for the first time how hybrid vehicle configurations can be modeled as systems with discrete and continuous controls.

His legacy is emphasized by Waldenström lectures, Waldenström Prizes, and by the International Waldenström’s Macroglobulinemia Foundation, IWMF, and the Bing Center for Waldenström’s macroglobulinemia at the Dana Farber Institute of Cancer Institute of the Harvard University in Boston.

This book provides an introduction to decision analytic cost-effectiveness modelling, giving the theoretical and practical knowledge required to design and implement analyses that meet the methodological standards of health technology assessment organisations.

The Second Edition of The Milan System for Reporting Salivary Gland Cytopathology, like the First Edition, represents a collaborative effort by a multidisciplinary group of cytopathologists, surgical pathologists, molecular pathologists, radiologists, and head and neck surgeons. This international group shares the goal of creating a practical and uniform reporting system for salivary gland fine needle aspiration (FNA). This book is organized into six general diagnostic categories: “Non-Diagnostic,” “Non-Neoplastic,” “Atypia of Undetermined Significance (AUS),” “Neoplasm: Benign,” “Neoplasm: Salivary Gland Neoplasm of Uncertain Malignant Potential (SUMP),” “Suspicious for Malignancy,” and “Malignant.” It includes definitions, morphologic criteria, and explanations for each of the diagnostic categories.  Specific chapters are dedicated to the application of the latest available ancillary studies, radiologic features of salivary gland lesions, clinical management, and histological considerations including updates from the most recent 5th Edition WHO blue book. The Milan System for Reporting Salivary Gland Cytopathology 2nd Edition represents an essential step towards increasing the overall effectiveness of salivary gland FNA and fostering better communication between clinicians and between institutions to improve overall patient care.

This revised and updated second edition explains how to analyze endoscopic mucosal biopsies of the ileum and colon.

Introduction to Partial Differential Equations

The previous edition of The Bethesda System for Reporting Thyroid Cytopathology provided important updates and advances in the practice of thyroid cytopathology.

This book provides the laryngeal surgeon with essential background information on laryngological disorders, step-by-step surgical information, and key pearls and pitfalls for laryngeal surgery.

This is the first of three volumes providing a comprehensive presentation of the fundamentals of scientific computing. This volume discusses basic principles of computation, and fundamental numerical algorithms that will serve as basic tools for the subsequent two volumes. This book and its companions show how to determine the quality of computational results, and how to measure the relative efficiency of competing methods. Readers learn how to determine the maximum attainable accuracy of algorithms, and how to select the best method for computing problems. This book also discusses programming in several languages, including C++, Fortran and MATLAB. There are 80 examples, 324 exercises, 77 algorithms, 35 interactive JavaScript programs, 391 references to software programs and 4 case studies.Topics are introduced with goals, literature references and links to public software. There are descriptions of the current algorithms in LAPACK, GSLIB and MATLAB.This book could be used for an introductory course in numerical methods, for either upper level undergraduates or first year graduate students.Parts of the text could be used for specialized courses, such as principles of computer languages or numerical linear algebra.

The first of three volumes on partial differential equations, this one introduces basic examples arising in continuum mechanics, electromagnetism, complex analysis and other areas, and develops a number of tools for their solution, in particular Fourier analysis, distribution theory, and Sobolev spaces. These tools are then applied to the treatment of basic problems in linear PDE, including the Laplace equation, heat equation, and wave equation, as well as more general elliptic, parabolic, and hyperbolic equations. The book is targeted at graduate students in mathematics and at professional mathematicians with an interest in partial differential equations, mathematical physics, differential geometry, harmonic analysis, and complex analysis.The third edition further expands the material by incorporating new theorems and applications throughout the book, and by deepening connections and relating concepts across chapters.  In includes new sections on rigid body motion, on probabilistic results related to random walks, on aspects of operator theory related to quantum mechanics, on overdetermined systems, and on the Euler equation for incompressible fluids.  The appendices have also been updated with additional results, ranging from weak convergence of measures to the curvature of Kahler manifolds.Michael E. Taylor is a Professor of Mathematics at the University of North Carolina, Chapel Hill, NC.Review of first edition: “These volumes will be read by several generations of readers eager to learn the modern theory of partial differential equations of mathematical physics and the analysis in which this theory is rooted.”(Peter Lax, SIAM review, June 1998)

The book, Acupuncture Techniques—A Practical Manual, is an invaluable resource for both acupuncture practitioners and students, offering a thorough exploration of acupuncture techniques. Starting with a thorough introduction of acupuncture techniques, the book looks at their historical background and progression.

The history of computer-aided face recognition dates to the 1960s, yet the problem of automatic face recognition – a task that humans perform routinely and effortlessly in our daily lives – still poses great challenges, especially in unconstrained conditions.This highly anticipated new edition provides a comprehensive account of face recognition research and technology, spanning the full range of topics needed for designing operational recognition systems. After a thorough introduction, each subsequent chapter focuses on a specific topic, reviewing background information, up-to-date techniques, and recent results, as well as offering challenges and future directions.Topics and features:Fully updated, revised, and expanded, covering the entire spectrum of concepts, methods, and algorithms for automated detection and recognition systemsProvides comprehensive coverage of face detection, alignment, feature extraction, and recognition technologies, and issues in evaluation, systems, security, and applicationsContains numerous step-by-step algorithmsDescribes a broad range of applications from person verification, surveillance, and security, to entertainmentPresents contributions from an international selection of preeminent expertsIntegrates numerous supporting graphs, tables, charts, and performance dataThis practical and authoritative reference is an essential resource for researchers, professionals and students involved in image processing, computer vision, biometrics, security, Internet, mobile devices, human-computer interface, E-services, computer graphics and animation, and the computer game industry.

This book, part of the European Society of Intensive Care Medicine (ESICM) textbook series, is a graphical, dense and concise text describing fundamental theoretical concepts needed for doctors and other professionals new to the field of Intensive Care Medicine.The book serves two main purposes: as study material for any junior doctor, nurse or other allied healthcare professional who is time-pressured and wants to quickly learn the essentials; and as a course volume of new ESICM educational initiative called Intensive Care Fundamentals©. The overarching goal of this initiative is to offer standardised high-quality introductory education to all starters in intensive care. There are two key elements of this initiative: the book, which is the prerequisite reading for attending the two day face-to-face course and the materials, registration of candidate and training and certifying the trainers that will be provided by ESICM.

This book is an expository introduction to the methodology of sensitivity analysis of model output.

This book delves into the synergies between memory studies and social movements, exploring how social movements have been constructing and creating memories of their own activity, how specific landscapes of memory have influenced social movements, and how activists have used memory as a cultural resource to further their own goals and ambitions.

Fundamentals of Geothermal Heat Pump Systems: Design and Application is written for upper-level undergraduate and graduate courses in renewable energy and heat transfer.

This book provides a unique overview of oncology nursing care in a new health environment, one in which oncology nurses play an increasingly important role.

V) An appendix with an LCA report template, a full example LCA report serving as inspiration for students who write their first LCA report, and a more detailed overview of existing LCIA methods and their similarities and differences.

This book is aimed at everyone preparing for the ISTQB® Certified Tester – Foundation Level exam based on the Foundation Level syllabus (version 4.0) published in 2023.

This text is a companion volume to Transmission Electron Microscopy: A Textbook for Materials Science by Williams and Carter. The aim is to extend the discussion of certain topics that are either rapidly changing at this time or that would benefit from more detailed discussion than space allowed in the primary text. World-renowned researchers have contributed chapters in their area of expertise, and the editors have carefully prepared these chapters to provide a uniform tone and treatment for this exciting material. The book features an unparalleled collection of color figures showcasing the quality and variety of chemical data that can be obtained from today’s instruments, as well as key pitfalls to avoid. As with the previous TEM text, each chapter contains two sets of questions, one for self assessment and a second more suitable for homework assignments. Throughout the book, the style follows that of Williams & Carter even when the subject matter becomes challenging—the aim is always to make the topic understandable by first-year graduate students and others who are working in the field of Materials ScienceTopics covered include sources, in-situ experiments, electron diffraction, Digital Micrograph, waves and holography, focal-series reconstruction and direct methods, STEM and tomography, energy-filtered TEM (EFTEM) imaging, and spectrum imaging. The range and depth of material makes this companion volume essential reading for the budding microscopist and a key reference for practicing researchers using these and related techniques.

This book covers the classical theory of Markov chains on general state-spaces as well as many recent developments. Part I lays the foundations of the theory of Markov chain on general states-space. Part II covers the basic theory of irreducible Markov chains on general states-space, relying heavily on regeneration techniques.

This unique textbook features fundamentals and analyses of metal forming processes supported by 200 worked numerical examples. It provides rigorous detail on the three all-important groups of metal-forming processes: bulk-metal forming, sheet-metal forming, and sheet-bulk-metal forming.