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The investigation into the murder of Officer David C. Douglass, member of the Lower Township Police Department, New Jersey. The investigative leads of this case were utilized by NYPD BLUE in one of the segments and nationally televised.
Jayne Gooding's conclusion of the fictional Thick Blue Line Trilogy continues with Sergeant Lucy Penfold into the 1990s. It is a period of political idealism, freedom for Nelson Mandela and the fall of the Berlin Wall. However, just below the surface lies an underbelly of increasingly violent crimes, major credit card fraud and razor slashing hooligans. Lucy continues to battle with her conscience and strives to do the right thing, both in her professional and personal life, but nothing can prepare her for the devastation that is about to occur...
Jayne Gooding's harrowing, painful, empathetic and remarkable fictional sequel continues into the 1980s and 90s. A time of rave culture, football hooligans, hard drugs and the AIDS epidemic. Lucy Penfold, now a Police Sergeant, transfers from Devon to Sussex following the breakdown of her unexpected, vibrant, delightful yet intense relationship with Pippa. Can Lucy deal with the deeply rooted sexism and overcome the belief, by some of her Senior Officers, that female officers were there to simply make up the numbers? Will Lucy survive her battle to do the right thing and break the unwritten code amongst police officers while discovering that Pippa, now bitter and resentful, is in Sussex and plotting against her?
This book combines the advantages of high-dimensional data visualization and machine learning in the context of identifying complex n-D data patterns. It vastly expands the class of reversible lossless 2-D and 3-D visualization methods, which preserve the n-D information. This class of visual representations, called the General Lines Coordinates (GLCs), is accompanied by a set of algorithms for n-D data classification, clustering, dimension reduction, and Pareto optimization. The mathematical and theoretical analyses and methodology of GLC are included, and the usefulness of this new approach is demonstrated in multiple case studies. These include the Challenger disaster, world hunger data, health monitoring, image processing, text classification, market forecasts for a currency exchange rate, computer-aided medical diagnostics, and others. As such, the book offers a unique resource for students, researchers, and practitioners in the emerging field of Data Science.
Chris Glasl joined Victoria Police at nineteen, with one aim in mind: to become a member of the Special Operations Group. Ultra-fit and highly trained, the SOG are called to the most dangerous missions: hostage situations, gunmen on the loose and risky mobile intercepts. After going through an incredibly gruelling elimination process, Chris joined the SOG in 1994, thinking he was becoming part of a unit that was untouchable, indestructible and bonded so closely together they were a brotherhood like no other. He didn't find that brotherhood. Instead, Chris experienced a unit rife with bullying, lies and betrayal. In combination with the dangerous missions they undertook and the pressure he experienced with each one, Chris needed a release valve - and he found it by taking drugs. It was the only way to switch off the adrenalin, to sleep at night, to get through his days. And those days involved fatal shootings, a triple murder and a 100-million-dollar drug bust, to name just a few. This is the ultimate insider account of what it takes to be one of the toughest police officers in the world - and the price it demands. It's a white-knuckle ride that you will never forget.
Life on our planet depends upon having a climate that changes within narrow limits – not too hot for the oceans to boil away nor too cold for the planet to freeze over. Over the past billion years Earth’s average temperature has stayed close to 14-15°C, oscillating between warm greenhouse states and cold icehouse states. We live with variation, but a variation with limits. Paleoclimatology is the science of understanding and explaining those variations, those limits, and the forces that control them. Without that understanding we will not be able to foresee future change accurately as our population grows. Our impact on the planet is now equal to a geological force, such that many geologists now see us as living in a new geological era – the Anthropocene. Paleoclimatology describes Earth’s passage through the greenhouse and icehouse worlds of the past 800 million years, including the glaciations of Snowball Earth in a world that was then free of land plants. It describes the operation of the Earth’s thermostat, which keeps the planet fit for life, and its control by interactions between greenhouse gases, land plants, chemical weathering, continental motions, volcanic activity, orbital change and solar variability. It explains how we arrived at our current understanding of the climate system, by reviewing the contributions of scientists since the mid-1700s, showing how their ideas were modified as science progressed. And it includes reflections based on the author’s involvement in palaeoclimatic research. The book will transform debate and set the agenda for the next generation of thought about future climate change. It will be an invaluable course reference for undergraduate and postgraduate students in geology, climatology, oceanography and the history of science. "A real tour-de-force! An outstanding summary not only of the science and what needs to be done, but also the challenges that are a consequence of psychological and cultural baggage that threatens not only the survival of our own species but the many others we are eliminating as well." Peter Barrett Emeritus Professor of Geology, Antarctic Research Centre, Victoria University of Wellington, New Zealand "What a remarkable and wonderful synthesis... it will be a wonderful source of [paleoclimate] information and insights." Christopher R. Scotese Professor, Department of Earth and Planetary Sciences, Northwestern University, Evanston, IL, USA
This book constitutes the refereed proceedings of the International Conference on Artificial Intelligence and Computational Intelligence, AICI 2009, held in Shanghai, China, on November 7-8, 2009. The 79 revised full papers presented in this volume were carefully reviewed and selected from 1203 submissions. The papers are organized in topical sections on support vector machine, rough set theory, particle swarm optimization, neural computation, intelligent agents and systems, information security, immune computation, genetic algorithms, fuzzy computation, biological computing, applications of computational intelligence, ant colony algorithm, robotics, pattern recognition, neural networks, natural language processing, machine vision, machine learning, logic reasoning and theorem-proving, knowledge representation and acquisition, intelligent signal processing, intelligent scheduling, intelligent information retrieval, intelligent information fusion, intelligent image processing, heuristic searching methods, fuzzy logic and soft computing, distributed AI and agents, data mining and knowledge discovering, applications of artificial intelligence, and others.
Let's begin with the basics: violence is an inherent part of policing. The police represent the most direct means by which the state imposes its will on the citizenry. They are armed, trained, and authorized to use force. Like the possibility of arrest, the threat of violence is implicit in every police encounter. Violence, as well as the law, is what they represent. Using media reports alone, the Cato Institute's last annual study listed nearly seven thousand victims of police "misconduct" in the United States. But such stories of police brutality only scratch the surface of a national epidemic. Every year, tens of thousands are framed, blackmailed, beaten, sexually assaulted, or killed by cops. Hundreds of millions of dollars are spent on civil judgments and settlements annually. Individual lives, families, and communities are destroyed. In this extensively revised and updated edition of his seminal study of policing in the United States, Kristian Williams shows that police brutality isn't an anomaly, but is built into the very meaning of law enforcement in the United States. From antebellum slave patrols to today's unarmed youth being gunned down in the streets, "peace keepers" have always used force to shape behavior, repress dissent, and defend the powerful. Our Enemies in Blue is a well-researched page-turner that both makes historical sense of this legalized social pathology and maps out possible alternatives.
This fully revised and updated second edition is an essential introduction to inferential statistics. It is the first introductory statistics text to use an estimation approach from the start and also to explain the new and exciting Open Science practices, which encourage replication and enhance the trustworthiness of research. The estimation approach, with meta-analysis (“the new statistics”), is exactly what’s needed for Open Science. Key features of this new edition include: Even greater prominence for Open Science throughout the book. Students easily understand basic Open Science practices and are guided to use them in their own work. There is discussion of the latest developments now being widely adopted across science and medicine. Integration of new open-source esci (Estimation Statistics with Confidence Intervals) software, running in jamovi. This is ideal for the book and extends seamlessly to what’s required for more advanced courses, and also by researchers. See www.thenewstatistics.com/itns/esci/jesci/. Colorful interactive simulations, including the famous dances, to help make key statistical ideas intuitive. These are now freely available through any browser. See www.esci.thenewstatistics.com/. Coverage of both estimation and null hypothesis significance testing (NHST) approaches, with full guidance on how to translate between the two. Effective learning strategies and pedagogical features to promote critical thinking, comprehension and retention Designed for introduction to statistics, data analysis, or quantitative methods courses in psychology, education, and other social and health sciences, researchers interested in understanding Open Science and the new statistics will also appreciate this book. No familiarity with introductory statistics is assumed.