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Bloodstain Pattern Analysis
by Tom Bevel, Ross M. Gardner

Used properly, bloodstain pattern analysis helps establish events associated with violent crimes. As such, it is a critical bridge between forensics and the ultimate goal of forensics, defining an accurate crime reconstruction. The second edition of this bestselling book is thoroughly updated to employ the latest protocols, including the application of scientific method, the use of flow charts, and the inter-relationship of crime scene analysis to criminal profiling. It provides more illustrations, including color photographs, and explains the use of computer programs to create demonstrative evidence for court. Bloodstain Pattern Analysis aids forensic scientists, investigators, and attorneys in understanding violent crime scenes. It provides quick and accurate information to help the reader understand blood stain pattern information.
Table of Contents:
Bloodstain Pattern Analysis: Its Function and a Historical Perspective, Crime Scene Analysis and Reconstruction, Terminology, Understanding the Medium of Blood, Determining Motion and Directionality, Determining the Point of Convergence and the Point of Origin, Evaluating Impact Spatter Bloodstains, Characteristic Blood Patterns That Aid in Analysis, Documenting Bloodstains, Documenting the Reconstruction of a Crime, Automation Applications in Bloodstain Pattern Analysis and Crime Scene Reconstruction, Presenting Evidence at Trial, Dealing with the Risk of Bloodborne Pathogens
App. A Weight/Measure Conversion Table
App. B Trigonometric Functions and Their Application in Bloodstain Pattern Analysis
App. C Stop-Motion Photography Techniques
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Research Articles:

Population genetics in the forensic DNA debate
by B S Weir

The use of matching variable number of tandem repeat (VNTR) profiles to link suspects with crimes is potentially very powerful, but it has been quite controversial. Initial debate over laboratory procedures has largely given way to debate over the statistical and population genetic issues involved in calculating the frequency of a profile for a random member of a population. This frequency is used to weight the evidence of a match between suspect and crime scene material when the suspect denies responsibility for that material. A recent report from the National Research Council, intended to put to rest some of the issues, has instead raised further debate by advocating a procedure based on maximum frequencies of profile components over several different populations.
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