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The Hague, Netherlands

Slooten K.,Netherlands Forensic Institute
Forensic Science International: Genetics

Disaster victim identification (DVI) can be aided by DNA-evidence, by comparing the DNA-profiles of unidentified individuals with those of surviving relatives. The DNA-evidence is used optimally when such a comparison is done by calculating the appropriate likelihood ratios. Though conceptually simple, the calculations can be quite involved, especially with large pedigrees, precise mutation models etc. In this article we describe a series of test cases designed to check if software designed to calculate such likelihood ratios computes them correctly. The cases include both simple and more complicated pedigrees, among which inbred ones. We show how to calculate the likelihood ratio numerically and algebraically, including a general mutation model and possibility of allelic dropout. In Appendix A we show how to derive such algebraic expressions mathematically. We have set up these cases to validate new software, called Bonaparte, which performs pedigree likelihood ratio calculations in a DVI context. Bonaparte has been developed by SNN Nijmegen (The Netherlands) for the Netherlands Forensic Institute (NFI). It is available free of charge for non-commercial purposes (see www.dnadvi.nl for details). Commercial licenses can also be obtained. The software uses Bayesian networks and the junction tree algorithm to perform its calculations. © 2010 Elsevier Ireland Ltd. All rights reserved. Source

Van Asten A.C.,Netherlands Forensic Institute | Van Asten A.C.,University of Amsterdam
Science and Justice

In this paper the insights and results are presented of a long term and ongoing improvement effort within the Netherlands Forensic Institute (NFI) to establish a valuable innovation programme. From the overall perspective of the role and use of forensic science in the criminal justice system, the concepts of Forensic Information Value Added (FIVA) and Forensic Information Value Efficiency (FIVE) are introduced. From these concepts the key factors determining the added value of forensic investigations are discussed; Evidential Value, Relevance, Quality, Speed and Cost. By unravelling the added value of forensic science and combining this with the future needs and scientific and technological developments, six forensic grand challenges are introduced: i) Molecular Photo-fitting; ii) chemical imaging, profiling and age estimation of finger marks; iii) Advancing Forensic Medicine; iv) Objective Forensic Evaluation; v) the Digital Forensic Service Centre and vi) Real time In-Situ Chemical Identification. Finally, models for forensic innovation are presented that could lead to major international breakthroughs on all these six themes within a five year time span. This could cause a step change in the added value of forensic science and would make forensic investigative methods even more valuable than they already are today. © 2013 Forensic Science Society. Source

Klaver C.,Netherlands Forensic Institute
Digital Investigation

Windows CE (at this moment sold as Windows Mobile) is on the market for more than 10 years now. In the third quarter of 2009, Microsoft reached a market share of 8.8% of the more than 41 million mobile phones shipped worldwide in that quarter. This makes it a relevant subject for the forensic community. Most commercially available forensic tools supporting Windows CE deliver logical acquisition, yielding active data only. The possibilities for physical acquisition are increasing as some tool vendors are starting to implement forms of physical acquisition. This paper introduces the forensic application of freely available tools and describes how known methods of Physical Acquisition can be applied to Windows CE devices. Furthermore it introduces a method to investigate isolated Windows CE database volume files for both active and deleted data. © 2010 Elsevier Ltd. All rights reserved. Source

Slooten K.,Netherlands Forensic Institute
Forensic Science International: Genetics

A defendant whose dna profile matches that of a crime stain may argue that he has several, say n, brothers and that one of them may have been the origin of the crime stain. If the probability for any of the brothers considered separately to match the crime stain profile is p, we show that the probability that at least one of the n brothers match is strictly smaller than np. This latter quantity therefore is an easy to compute and conservative value to report. © 2011 Elsevier Ireland Ltd. All rights reserved. Source

Kubat B.,Netherlands Forensic Institute
Forensic Science, Medicine, and Pathology

A 33-year-old athletic male was unexpectedly found dead in his bed. For several days prior to his death he complained of tenderness and swelling of his right buttock. The post-mortem examination revealed unilateral pale gluteal muscles and pustular impetiginized skin lesions of the right lower leg. The muscle histology demonstrated pronounced acute inflammation and limited necrosis of muscle fibers confined to the right gluteal muscles. Vascular occlusion and renal abnormalities were excluded by post-mortem angiography and histology respectively, and the diagnosis of non-tropical pyomyositis, possibly originating from the dermatological infection, was made. Toxicological testing revealed a potentially lethal intoxication with fentanyl and morphine. Pyomyositis is etiologically attributed to an infection and predominantly affects large limb or trunk muscles. Males are affected more frequently than females. Histologically, it is dominated by acute inflammatory infiltrates and may lead to sepsis and subsequent death. Although occurring less frequently, pyomyositis must be considered in the differential diagnosis of macroscopic localized muscle pallor, together with vascular occlusion and rhabdomyolysis. In such cases, only the examination of fresh frozen muscle tissue samples from different locations, together with the histological examination of the internal organs, particularly the kidneys, will facilitate the confirmation of the correct diagnosis. © 2013 Springer Science+Business Media New York. Source

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