The talus: sex assessment of prehistoric New Zealand Polynesian skeletal remains

Prehistoric Polynesian skeletal remains are frequently being recovered in New Zealand due to the increasing pace of urbanisation. Since such material must often be reinterred quickly, it is important that the sex of individuals be determined from the remains in a relatively short time. For this purpose, discriminant function analysis was utilised for sex determination of prehistoric adult New Zealand Polynesian tali (24 males and 27 females). Five measurements were taken and subjected to Statistical Package for the Social Sciences (SPSS) discriminant function analysis. For the discriminant functions derived, accuracy of sex determination ranged from 85.1 to 93.3%. Reduction in error over random assignment by sex ranged from 70 to 87%.     

The acetabulum: sex assessment of prehistoric New Zealand Polynesian innominates

With increasing urban development in New Zealand, prehistoric Polynesian skeletal remains are frequently being recovered. Since such material must often be reinterred quickly, it has become important that the sex of individuals be determined from the remains in a relatively short time. For this purpose, discriminant function analysis was utilised for sex determination of prehistoric adult New Zealand Polynesian innominates (21 male and 35 female). Maximum diameter of the acetabulum was measured and subjected to SPSS direct discriminant function analysis. Accuracy of sex determination ranged from 85.2% to 86.2%. Reduction in error over random assignment by sex ranged from 70% to 72%. The two discriminant functions derived will provide a useful tool for the assessment of human remains in the forensic and archaeological context because they incorporate a single measurement which can be taken on incomplete bones.     

Influence of groove count on slip resistance using NTL test feet

In recent years, walkway slip-resistance testing with grooved NTL (Neolite Test Liners) has been the subject of research, as well as used in field investigation practices. Recent research shows that differences between non-grooved and grooved test feet do exist, especially under wet conditions. It is not known how the number of grooves influences the slip resistance. This study investigates the influence of groove count on slip resistance under both wet and dry conditions using the PIAST tribometer. Test feet with 1, 3, 5, 7, 9, 11, 13, and 15 grooves and a non-grooved test foot were used. Polished granite and vinyl composition tile were used as test surfaces. Results for both test surfaces show markedly higher slip resistance for increasing groove counts under wet conditions, while under dry conditions, the results show slight increases in slip resistance. Implications of these results are discussed.     

PENDULUM--a guideline-based approach to the interpretation of STR mixtures

Several years ago, a theory to interpret mixed DNA profiles was proposed that included a consideration of peak area using the method of least squares. This method of mixture interpretation has not been widely adopted because of the complexity of the associated calculations. Most reporting officers (RO) employ an experience and judgement based approach to the interpretation of mixed DNA profiles. Here we present an approach that has formalised the thinking behind this experience and judgement. This has been written into a computer program package called PENDULUM. The program uses a least squares method to estimate the pre-amplification mixture proportion for two potential contributors. It then calculates the heterozygous balance for all of the potential sets of genotypes. A list of "possible" genotypes is generated using a set of heuristic rules. External to the programme the candidate genotypes may then be used to formulate likelihood ratios (LR) that are based on alternative casework propositions. The system does not represent a black box approach; rather it has been integrated into the method currently used by the reporting officers at the Forensic Science Service (FSS). The time saved in automating routine calculations associated with mixtures analysis is significant. In addition, the computer program assists in unifying reporting processes, thereby improving the consistency of reporting.