The Crime Scene: A Visual Guide provides visual instruction on the correct way to process a crime scene. While the primary crime scene comprises the area from which most of the physical evidence is retrieved by crime scene investigators (CSIs), forensic scientists, or law enforcement personnel, this book also covers secondary and often tertiary crime scenes, all locations where there is the potential for the recovery of evidence. By using photographs and other diagrams to show proper and improper procedures, the reader will learn how to identify the correct principles required to process a scene. The book presents chapters on the investigation, the varying types of documentation, and the tactics used to connect events through crime scene reconstruction using evidence The book's authors have a combined experience of over 70 years in crime scene investigation as primary responders and consultants giving testimony in all levels of the U.S. court system. In addition, both teach forensic science and crime scene investigation at the university level. - Coverage of techniques, documentation and reconstruction at a crime scene - Shows side-by-side comparison of the correct process versus the incorrect process - Online website will host: videos and additional instructional material

"Crime Scene Investigation and Reconstruction: An Illustrated Manual and Field Guide provides methodologies to help investigators to think broadly when seeking out evidence at a scene and, likewise, utilize all the information from a case-especially the observable physical evidence, besides that are collectable, in reconstructing events. In the introductory chapters the author highlights the importance of crime scene reconstruction when answering the question "How something could have happened?" From there, he goes on to explain the principles of exchange, identification, individualization and reconstruction. Here, the "observe-hypothesize" model, proposed in this field-guide, is presented: outlining how every source of information ranging from laboratory reports, opinions from medical doctors, statements of witnesses, and confessions of suspects should be reconcilable with the evidence-based reconstruction made in the crime scene. In this, the author contends that qualified crime scene generalists are the ideal professionals to frame scientific hypothesis and to make reconstructions. Practical recommendations, based on best-practice general crime scene procedures are provided while the second half of the book illustrate and outline how to deal with various types of major crime scenes, including fire deaths, exhuming buried human remains, sexual assaults, death by electrocution, explosion, drowning, poisoning, hanging, and more. Since, a picture is worth thousand words, over 400 collective photographs and sketches are included throughout the book to illustrate the observational methods that are described. In addition, the field-guide provides several easy-to-follow flow-charts to serve as checklists to aid scene investigation in major types of crime scene. In this, Crime Scene Investigation and Reconstruction: An Illustrated Manual and Field Guide will help investigators readily recognize similar manifestations in crime scenes and to apply and use such techniques appropriately in their own work"--

Shows how the latest methods of scientific detection are used to uncover the truth about a crime scene, and to reveal how crimes were committed, explaining the techniques and equipment used by forensic investigators.

“I am going to tell you how we are treated. I am always hungry.” — Edward B., a student at Onion Lake School (1923) "[I]f I were appointed by the Dominion Government for the express purpose of spreading tuberculosis, there is nothing finer in existance that the average Indian residential school.” — N. Walker, Indian Affairs Superintendent (1948) For over 100 years, thousands of Aboriginal children passed through the Canadian residential school system. Begun in the 1870s, it was intended, in the words of government officials, to bring these children into the “circle of civilization,” the results, however, were far different. More often, the schools provided an inferior education in an atmosphere of neglect, disease, and often abuse. Using previously unreleased government documents, historian John S. Milloy provides a full picture of the history and reality of the residential school system. He begins by tracing the ideological roots of the system, and follows the paper trail of internal memoranda, reports from field inspectors, and letters of complaint. In the early decades, the system grew without planning or restraint. Despite numerous critical commissions and reports, it persisted into the 1970s, when it transformed itself into a social welfare system without improving conditions for its thousands of wards. A National Crime shows that the residential system was chronically underfunded and often mismanaged, and documents in detail and how this affected the health, education, and well-being of entire generations of Aboriginal children.

Information theory and inference, taught together in this exciting textbook, lie at the heart of many important areas of modern technology - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics and cryptography. The book introduces theory in tandem with applications. Information theory is taught alongside practical communication systems such as arithmetic coding for data compression and sparse-graph codes for error-correction. Inference techniques, including message-passing algorithms, Monte Carlo methods and variational approximations, are developed alongside applications to clustering, convolutional codes, independent component analysis, and neural networks. Uniquely, the book covers state-of-the-art error-correcting codes, including low-density-parity-check codes, turbo codes, and digital fountain codes - the twenty-first-century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, the book is ideal for self-learning, and for undergraduate or graduate courses. It also provides an unparalleled entry point for professionals in areas as diverse as computational biology, financial engineering and machine learning.