Validating TrueAllele® DNA mixture interpretation

Abstract: DNA mixtures with two or more contributors are a prevalent form of biological evidence. Mixture interpretation is complicated by the possibility of different genotype combinations that can explain the short tandem repeat (STR) data. Current human review simplifies this interpretation by applying thresholds to qualitatively treat STR data peaks as all‐or‐none events and assigning allele pairs equal likelihood. Computer review, however, can work instead with all the quantitative data to preserve more identification information. The present study examined the extent to which quantitative computer interpretation could elicit more identification information than human review from the same adjudicated two‐person mixture data. The base 10 logarithm of a DNA match statistic is a standard information measure that permits such a comparison. On eight mixtures having two unknown contributors, we found that quantitative computer interpretation gave an average information increase of 6.24 log units (min = 2.32, max = 10.49) over qualitative human review. On eight other mixtures with a known victim reference and one unknown contributor, quantitative interpretation averaged a 4.67 log factor increase (min = 1.00, max = 11.31) over qualitative review. This study provides a general treatment of DNA interpretation methods (including mixtures) that encompasses both quantitative and qualitative review. Validation methods are introduced that can assess the efficacy and reproducibility of any DNA interpretation method. An in‐depth case example highlights 10 reasons (at 10 different loci) why quantitative probability modeling preserves more identification information than qualitative threshold methods. The results validate TrueAllele^® DNA mixture interpretation and establish a significant information improvement over human review.     

微软复合文档结构分析及文件恢复

本文分析了微软复合文档类型的结构,对于数据恢复中因文件头损坏不能正常打开的情况,可通过分析整个文件结构,合理重构文件头,修复文件。     

针对海量数据的数字取证模型

随着互联网技术的发展,电子产品被广泛应用在各个领域。与此同时,涉及到数字证据的犯罪案件日益增多。目前,侦查取证人员面临的巨大挑战是需要在短时间内在存有海量数据的大容量存储介质中进行搜查取证活动,传统的数字取证模型难以应对。     

The Future of Consumer Web Data: A European/US Perspective

The article considers the subject of clickstream data from aEuropean/US perspective, taking into account the Data ProtectionFramework (Data Protection Directive 95/46/EC; Directive onPrivacy and Electronic Communications 2002/58/EC) and the USlegal framework and in particular, the Wiretap Act U.S.C. 2701(2004) and related statutes. It examines the extent to whichclickstream data is considered "personal data" within the DataProtection Directive and the implications to consumers and businesses.     

Allele frequencies for nine STR loci (D3S1358, vWA, FGA, D8S1179, D21S11, D18S51, D5S818, D13S317, D7S820) in the Italian population

Genotype and allele frequencies for STR loci D3S1358, vWA, FGA, D8S1179, D21S11, D18S51, D5S818, D13S317, D7S820 were investigated in 289 unrelated Italian Caucasian individuals from the North and South regions. After co-amplification by polymerase chain reaction, automatic DNA profiling of these nine STR loci was performed by ABI PRISM((R)) 310 DNA Genetic Analyzer. For each locus, statistical parameters for forensic and paternity purposes were then calculated; the combined power of discrimination and the combined power of exclusion of all nine loci were 0.9999999999917 and 0.99992 for the Northern population and 0.9999999999921 and 0.99991 for the Southern population.     

STR data for the 15 AmpFlSTR identifiler loci in the Western Romanian population

Allele frequencies for the 15 tetranucleotide short tandem repeat loci contained in the AmpFlSTR Identifiler kit were obtained from a population sample of 219 unrelated individuals born in the western part of Romania.     

A Two‐Level Model for Evidence Evaluation in the Presence of Zeros*

Abstract: Likelihood ratios (LRs) provide a natural way of computing the value of evidence under competing propositions. We propose LR models for classification and comparison that extend the ideas of Aitken, Zadora, and Lucy and Aitken and Lucy to include consideration of zeros. Instead of substituting zeros by a small value, we view the presence of zeros as informative and model it using Bernoulli distributions. The proposed models are used for evaluation of forensic glass (comparison and classification problem) and paint data (comparison problem). Two hundred and sixty‐four glass samples were analyzed by scanning electron microscopy, coupled with an energy dispersive X‐ray spectrometer method and 36 acrylic topcoat paint samples by pyrolysis gas chromatography hyphened with mass spectrometer method. The proposed LR model gave very satisfactory results for the glass comparison problem and for most of the classification tasks for glass. Results of comparison of paints were also highly satisfactory, with only 3.0% false positive answers and 2.8% false negative answers.     

Profiling the mobile customer – Is industry self-regulation adequate to protect consumer privacy when behavioural advertisers target mobile phones? – Part II

Mobile customers are increasingly being tracked and profiled by behavioural advertisers to enhance delivery of personalized advertising. This type of profiling relies on automated processes that mine databases containing personally-identifying or anonymous consumer data, and it raises a host of significant concerns about privacy and data protection. This second article in a two part series on “Profiling the Mobile Customer” explores how to best protect consumers’ privacy and personal data through available mechanisms that include industry self-regulation, privacy-enhancing technologies and legislative reform.¹ It discusses how well privacy and personal data concerns related to consumer profiling are addressed by two leading industry self-regulatory codes from the UK and the U.S. that aim to establish fair information practices for behavioural advertising by their member companies. It also discusses the current limitations of using technology to protect consumers from privacy abuses related to profiling. Concluding that industry self-regulation and available privacy-enhancing technologies will not be adequate to close important privacy gaps related to consumer profiling without legislative reform, it offers suggestions for EU and U.S. regulators about how to do this.²     

Genetic study of 15 STRs loci of Identifiler system in Angola population

Angola is located in the African continent, in the area of southern Africa and has a population of approximately 14 million inhabitants. The Angola population has origin from Occidental and Southern Bantu people that came from the great lakes region, creating the most ever known African migration of our days.Allele frequencies for the 15 STRs loci in the AmpFlSTR Identifiler kit (D8S1179, D21S11, D7S820, CSF1PO, D3S1358, HUMTH01, D13S317, D16S539, D2S1338, D19S433, HUMVWA, TPOX, D18S51, D5S818, HUMFIBRA/FGA and including the segment of the X-Y homologous gene amelogenin) were studied for Angola population.The genotype frequency of the 15 STR loci showed no significant deviations from Hardy–Weinberg equilibrium expectations and great values for the combined power of discrimination and combined power of a priori exclusion validate the application of these markers in forensic genetics. Comparative analyses between Angola population data and other relevant population database from Africa, Europe and American are presented.