Cyberspace is changing the face of crime. For criminals it has become a place for rich collaboration and learning, not just within one country; and a place where new kinds of crimes can be carried out, and a vehicle for committing conventional crimes with unprecedented range, scale, and speed. Law enforcement faces a challenge in keeping up and dealing with this new environment. The news is not all bad – collecting and analyzing data about criminals and their activities can provide new levels of insight into what they are doing and how they are doing it. However, using data analytics requires a change of process and new skills that (so far) many law enforcement organizations have had difficulty leveraging. Cyberspace, Data Analytics, and Policing surveys the changes that cyberspace has brought to criminality and to policing with enough technical content to expose the issues and suggest ways in which law enforcement organizations can adapt. Key Features: Provides a non-technical but robust overview of how cyberspace enables new kinds of crime and changes existing crimes. Describes how criminals exploit the ability to communicate globally to learn, form groups, and acquire cybertools. Describes how law enforcement can use the ability to collect data and apply analytics to better protect society and to discover and prosecute criminals. Provides examples from open-source data of how hot spot and intelligence-led policing can benefit law enforcement. Describes how law enforcement can exploit the ability to communicate globally to collaborate in dealing with trans-national crime.
Social Networks with Rich Edge Semantics introduces a new mechanism for representing social networks in which pairwise relationships can be drawn from a range of realistic possibilities, including different types of relationships, different strengths in the directions of a pair, positive and negative relationships, and relationships whose intensities change with time. For each possibility, the book shows how to model the social network using spectral embedding. It also shows how to compose the techniques so that multiple edge semantics can be modeled together, and the modeling techniques are then applied to a range of datasets. Features Introduces the reader to difficulties with current social network analysis, and the need for richer representations of relationships among nodes, including accounting for intensity, direction, type, positive/negative, and changing intensities over time Presents a novel mechanism to allow social networks with qualitatively different kinds of relationships to be described and analyzed Includes extensions to the important technique of spectral embedding, shows that they are mathematically well motivated and proves that their results are appropriate Shows how to exploit embeddings to understand structures within social networks, including subgroups, positional significance, link or edge prediction, consistency of role in different contexts, and net flow of properties through a node Illustrates the use of the approach for real-world problems for online social networks, criminal and drug smuggling networks, and networks where the nodes are themselves groups Suitable for researchers and students in social network research, data science, statistical learning, and related areas, this book will help to provide a deeper understanding of real-world social networks.
This book combines linguistic and historical approaches with the latest techniques of DNA analysis and show the insights these offer for every kind of genealogical research. The book will be welcomed by all those engaged in genealogical research, including everyone seeking to discover the histories of their names and families.
This book proposes new ways of thinking about high-dimensional spaces using two models: the skeleton that relates the clusters to one another, and the boundaries in empty space that provide new perspectives on outliers and on outlying regions.
Cyberspace is a critical part of our lives. Although we all use cyberspace for work, entertainment, and social life, much of its infrastructure and operation is invisible to us. We spend a big part of our lives in an environment that is almost an essential service but is full of potential dangers: a place where criminals can commit new kinds of crimes, where governments can exert political pressure, and where we can be hurt by the unthinking actions of the bored and careless. Making cyberspace more secure is one of the challenges of our times. This is not only (or perhaps even primarily) a technical challenge. It requires actions by governments and businesses to encourage security whenever possible, and to make sure that their own actions do not undermine it. Unfortunately, many of those in a position to do something about cybersecurity do not have the background to understand the issues fully. Cybersecurity for Everyone will help by describing the issues in a way that is accessible to anyone, but especially those from non-technical backgrounds.
Textbook of Clinical Neuropsychiatry provides a comprehensive, encyclopedic and up to date coverage of the complete range of neuropsychiatric disorders. The text is clearly written and well organized, utilizing a consistent and easy to read format throughout. Part I describes the diagnostic assessment of patients and details the interview, mental s
The history of modern crime control is usually presented as a narrative of how the state wrested control over the governance of crime from the civilian public. Most accounts trace the decline of a participatory, discretionary culture of crime control in the early modern era, and its replacement by a centralized, bureaucratic system of responding to offending. The formation of the 'new' professional police forces in the nineteenth century is central to this narrative: henceforth, it is claimed, the priorities of criminal justice were to be set by the state, as ordinary people lost what authority they had once exercised over dealing with offenders. This book challenges this established view, and presents a fundamental reinterpretation of changes to crime control in the age of the new police. It breaks new ground by providing a highly detailed, empirical analysis of everyday crime control in Victorian provincial cities - revealing the tremendous activity which ordinary people displayed in responding to crime - alongside a rich survey of police organization and policing in practice. With unique conceptual clarity, it seeks to reorient modern criminal justice history away from its established preoccupation with state systems of policing and punishment, and move towards a more nuanced analysis of the governance of crime. More widely, the book provides a unique and valuable vantage point from which to rethink the role of civil society and the state in modern governance, the nature of agency and authority in Victorian England, and the historical antecedents of pluralized modes of crime control which characterize contemporary society.
This book has a clear concern to offer a distinctive way of studying leadership so that it might be practiced differently. It is distinctive in focusing on contemporary concerns about gender and ethics. More precisely, it examines the masculinity of leadership and how, through an embodied form of reasoning, it might be challenged or disrupted. A central argument of the book is that masculine leadership elevates rationality in ways that marginalize the body and feelings and often has the effect of sanctioning unethical behavior. In exploring this thesis, Leadership, Gender and Ethics: Embodied Reason in Challenging Masculinities provides an analysis of the comparatively neglected issues of identity/anxiety, power/resistance, diversity/gender, and the body/masculinities surrounding the concept and practice of leadership. It also illustrates the arguments of the book by examining leadership through an empirical examination of academic life, organization change and innovation, and the global financial crisis of 2008. In a postscript, it analyses some examples of masculine leadership in the global pandemic of 2020. This book will be of interest generally to researchers, academics and students in the field of leadership and management and will be of special interest to those who seek to understand the intersections between leadership and gender, ethics and embodied approaches. It will also appeal to those who seek to develop new ways of thinking and theorizing about leadership in terms of identities and insecurities, power and masculinity, ethics and the body. Its insights might not only change studies but also practices of leadership.
Thiamine deficiency and related clinical disorders represent an intriguing area of both basic and clinical investigation. Modern imaging strategies have facilitated the rapid treatment, and potential reversal of these clinical disorders. The fusion of laboratory and clinical knowledge serve as an example of how research can translate to successful treatment. The goal of Thiamine Deficiency and Related Clinical Disorders is to bring together cogent results from basic and clinical investigation and to stimulate further investigations in these areas. This data will be useful to neurologists, internists, nutritionists, biochemists, neurochemists, neuroscientists, and others with interest in thiamine deficiency.
Linear regression analysis, with its many generalizations, is the predominant quantitative method used throughout the social sciences and beyond. The goal of the method is to study relations among variables. In this book, Schoon, Melamed and Breiger turn regression modeling inside out to put the emphasis on the cases (people, organizations, and nations) that comprise the variables. By re-analyzing influential published research, they reveal new insights and present a principled way to unlock a set of more nuanced interpretations than has previously been attainable. The emphasis is on intuition and examples that can be reproduced using the code and datasets provided. Relating their contributions to methodologies that operate under quite different philosophical assumptions, the authors advance multi-method social science and help to bridge the divide between quantitative and qualitative research. The result is a modern, accessible, and innovative take on extracting knowledge from data.
Business ecology is a new field that synthesizes centuries of cultural wisdom, a close observation of natural systems, and proven business success strategies, such as strategic planning and total quality management. It emulates nature's systems design to provide a harmonious, relationship-oriented approach that reveals how your organization really works. This book applies these principles to help you integrate profitability, stakeholder relations, and environmental performance ¦ giving your organization the natural edge in emerging ecological economy. Business ecology measures not just financial but overall viability by revealing vital flows and relationships that sustain your business. It is a lens for seeing those intangible elements of your organization's design -- such as core values, value-creation cycles, and innovative thinking ¦ that are essential factors shaping its success. The Business Ecology Network (BEN), founded in 1995, is a catalyst for life-sustaining enterprise. BEN is a learning community for leaders and managers who want to apply a new way of thinking ¦ business ecology ¦ to create new, sustainable opportunities for their businesses and non profit organizations. Visit the BEN web page at http://naturaledge.org.
For three decades psychiatrists have turned to Lishman's Organic Psychiatry as the standard neuropsychiatry reference. It stood as the last great single author reference text in medicine, a combination of meticulous, exhaustive research conveyed in a beautifully clear style. Now the mantle has been passed to a group of five distinguished authors and it is to their considerable credit that the attributes which made Organic Psychiatry such a distinctive voice remain. The fourth Edition of Lishman's Organic Psychiatry is a rich blend of detailed clinical inquiry and up to date neuroscience. It should be on every psychiatrist;s book shelf." —Anthony Feinstein, MPhil, PhD., FRCP, Professor, Department of Psychiatry, University of Toronto, Canada Over the past 30 years, thousands of physicians have depended on Lishman's Organic Psychiatry. Its authoritative and reliable clinical guidance was - and still is - beyond compare. The new edition of this classic textbook has now been extensively revised by a team of five authors, yet it follows the tradition of the original single-authored book. It continues to provide a comprehensive review of the cognitive, emotional and behavioural consequences of cerebral disorders and their manifestations in clinical practice. Enabling clinicians to formulate incisive diagnoses and appropriate treatment strategies, Lishman's Organic Psychiatry is an invaluable source of information for practising psychiatrists, neurologists and trainees. This new edition: covers recent theoretical and clinical developments, with expanded sections on neuropsychology and neuroimaging includes a new chapter on sleep disorders whilst the chapters on Alzheimer's disease and related dementias, Epilepsy, Movement disorders and Traumatic brain injury have been extensively revised reflecting the greatly improved understanding of their underlying pathophysiologies showcases the huge advances in brain imaging and important discoveries in the fields of molecular biology and molecular genetics has been enhanced with the inclusion of more tables and illustrations to aid clinical assessment incorporates important diagnostic tools such as magnetic resonance brain images.
One of the all-time chess greats, José Raúl Capablanca (1888–1942), displays his brilliant imaginative maneuvers and strategies in 203 of his lesser matches and exhibitions. Includes his complete chess record.
Behavioral Dentistry, Second Edition, surveys the vast and absorbing topic of the role of behavioral science in the study and clinical practice of dentistry. An understanding of social sciences has long been a central part of dental education, and essential for developing a clinician’s appreciation of human behavior as it affects efficient dental treatment. This book gathers together contributions from leading experts in each of the major subspecialties of behavioral dentistry. Its aim is not merely to provide the student and clinician with a comprehensive review of the impressive literature or discussion of the theoretical background to the subject, but also with a practical guide to adapting the latest techniques and protocols and applying them to day-to-day clinical practice. This second edition of Behavioral Dentistry discusses biobehavioral processes, including the psychobiology of inflammation and pain, oral health and quality of life, saliva health, and hypnosis in dentistry. The book goes on to examine anxiety, fear, and dental and chronic orofacial pain, and then reviews techniques for designing and managing behavior change. It concludes with a section on professional practice, including care of special needs, geriatric, and diabetic patients, and interpersonal communication in dental education.
Exploring the negative social impact of cyber-attacks, this book takes a closer look at the challenges faced by both the public and private sectors of the financial industry. It is widely known amongst senior executives in both sectors that cybercrime poses a real threat, however effective collaboration between individual financial institutions and the public sector into detecting, monitoring and responding to cyber-attacks remains limited. Addressing this problem, the authors present the results from a series of interviews with cybersecurity professionals based in Canada in order to better understand the potential risks and threats that financial institutions are facing in the digital age. Offering policy recommendations for improving cybersecurity protection measures within financial institutions, and enhancing the sharing of information between the public and private sector, this book is a timely and invaluable read for those researching financial services, cybercrime and risk management, as well as finance professionals interested in cybersecurity.
Channel 4's The Mill captivated viewers with the tales of the lives of the young girls and boys in a northern mill. Focusing on the lives of the apprentices at Quarry Bank Mill, David Hanson's book uses a wealth of first-person source material including letters, diaries, mill records, to tell the stories of the children who lived and worked at Quarry Bank throughout the nineteenth century. This book perfectly accompanies the television series, satisfying viewers' curiosity about the history of the children of Quarry Bank. It reveals the real lives of the television series' main characters: Esther, Daniel, Lucy and Susannah, showing how shockingly close to the truth the dramatisation is. But the book also goes far beyond this to create a full and vivid picture of factory life in the industrial revolution. David Hanson has written an accessible narrative history of Victorian working children and the conditions in which they worked.
Industrial Applications of Machine Learning shows how machine learning can be applied to address real-world problems in the fourth industrial revolution, and provides the required knowledge and tools to empower readers to build their own solutions based on theory and practice. The book introduces the fourth industrial revolution and its current impact on organizations and society. It explores machine learning fundamentals, and includes four case studies that address a real-world problem in the manufacturing or logistics domains, and approaches machine learning solutions from an application-oriented point of view. The book should be of special interest to researchers interested in real-world industrial problems. Features Describes the opportunities, challenges, issues, and trends offered by the fourth industrial revolution Provides a user-friendly introduction to machine learning with examples of cutting-edge applications in different industrial sectors Includes four case studies addressing real-world industrial problems solved with machine learning techniques A dedicated website for the book contains the datasets of the case studies for the reader's reproduction, enabling the groundwork for future problem-solving Uses of three of the most widespread software and programming languages within the engineering and data science communities, namely R, Python, and Weka
The new edition of this classic textbook has now been extensively revised by a team of five authors, yet it follows the tradition of the original single-authored book. It continues to provide a comprehensive review of the cognitive, emotional and behavioural consequences of cerebral disorders and their manifestations in clinical practice. Enabling clinicians to formulate incisive diagnoses and appropriate treatment strategies.
Highly Commended, BMA Medical Book Awards 2013Previously published as Textbook of Clinical Neuropsychiatry, this book has been re-titled and thoroughly updated, redesigned, and enhanced to include the fundamentals of neuroscience. This highly acclaimed text provides a definitive, clinically oriented, yet comprehensive book covering neuropsychiatry
Social Networks with Rich Edge Semantics introduces a new mechanism for representing social networks in which pairwise relationships can be drawn from a range of realistic possibilities, including different types of relationships, different strengths in the directions of a pair, positive and negative relationships, and relationships whose intensities change with time. For each possibility, the book shows how to model the social network using spectral embedding. It also shows how to compose the techniques so that multiple edge semantics can be modeled together, and the modeling techniques are then applied to a range of datasets. Features Introduces the reader to difficulties with current social network analysis, and the need for richer representations of relationships among nodes, including accounting for intensity, direction, type, positive/negative, and changing intensities over time Presents a novel mechanism to allow social networks with qualitatively different kinds of relationships to be described and analyzed Includes extensions to the important technique of spectral embedding, shows that they are mathematically well motivated and proves that their results are appropriate Shows how to exploit embeddings to understand structures within social networks, including subgroups, positional significance, link or edge prediction, consistency of role in different contexts, and net flow of properties through a node Illustrates the use of the approach for real-world problems for online social networks, criminal and drug smuggling networks, and networks where the nodes are themselves groups Suitable for researchers and students in social network research, data science, statistical learning, and related areas, this book will help to provide a deeper understanding of real-world social networks.
Making obscure knowledge about matrix decompositions widely available, Understanding Complex Datasets: Data Mining with Matrix Decompositions discusses the most common matrix decompositions and shows how they can be used to analyze large datasets in a broad range of application areas. Without having to understand every mathematical detail, the book
This book proposes new ways of thinking about high-dimensional spaces using two models: the skeleton that relates the clusters to one another, and the boundaries in empty space that provide new perspectives on outliers and on outlying regions.
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