Evidence evaluation in fingerprint comparison and automated fingerprint identification systems--modelling within finger variability

Recent challenges and errors in fingerprint identification have highlighted the need for assessing the information content of a papillary pattern in a systematic way. In particular, estimation of the statistical uncertainty associated with this type of evidence is more and more called upon. The approach used in the present study is based on the assessment of likelihood ratios (LRs). This evaluative tool weighs the likelihood of evidence given two mutually exclusive hypotheses. The computation of likelihood ratios on a database of marks of known sources (matching the unknown and non-matching the unknown mark) allows an estimation of the evidential contribution of fingerprint evidence. LRs are computed taking advantage of the scores obtained from an automated fingerprint identification system and hence are based exclusively on level II features (minutiae). The AFIS system attributes a score to any comparison (fingerprint to fingerprint, mark to mark and mark to fingerprint), used here as a proximity measure between the respective arrangements of minutiae. The numerator of the LR addresses the within finger variability and is obtained by comparing the same configurations of minutiae coming from the same source. Only comparisons where the same minutiae are visible both on the mark and on the print are therefore taken into account. The denominator of the LR is obtained by cross-comparison with a database of prints originating from non-matching sources. The estimation of the numerator of the LR is much more complex in terms of specific data requirements than the estimation of the denominator of the LR (that requires only a large database of prints from an non-associated population). Hence this paper addresses specific issues associated with the numerator or within finger variability. This study aims at answering the following questions: (1) how a database for modelling within finger variability should be acquired; (2) whether or not the visualisation technique or the choice of different minutiae arrangements may influence that modelling and (3) what is the magnitude of LRs that can be expected from such a model. Results show that within finger variability is affected by the visualisation technique used on the mark, the number of minutiae and the minutiae configuration. They also show that the rates of misleading evidence in the likelihood ratios obtained for one of the configurations examined are low.     

Public Health and the Regulatory State

Public health has moved from the public good component of health to everything related to health and, then, to everything related to society. If we take public health in its wide, total, social sense, it presumably explains or justifies much of the regulatory state. Virtually all state activities contribute directly or indirectly to some citizens’ “physical, mental and social well-being” (as the World Health Organization’s definition says). Public health requires social engineering, which cannot be achieved without controlling the lifestyles that the Philosopher King doesn’t like. Controlling lifestyles cannot be done without regulating the businesses that would allow people to satisfy their sinful preferences, and without preventing these people from circumventing the controls through black markets or other violations of government regulation.     

Public opinion and terrorism: does the national economic,societal and political context Really Matter?

ABSTRACT

For national publics, terrorism is today one of the key policy challenges facing European governments. Yet little is known about whether and how the objective national economic, societal and political context influences public opinion about terrorism. The present article addresses this gap in the current research. Using Eurobarometer data, it is demonstrated that excluding a nation’s level of terrorism, no other objective national economic, societal or political indicator sways public attitudes towards terrorism. Objective national economic, societal and political factors are also found not to impact on the relationship between citizens’ economic conditions and public attitudes towards the same. Our results finally demonstrate that people’s perceived economic, cultural and physical (safety) insecurities tend to be a stronger predictor of these attitudes than the objective national context or (social) class differences. The article then discusses the implications of these ?ndings.     

NIR analysis of cellulose and lactose--application to ecstasy tablet analysis

Cellulose and lactose are the most frequently used excipients in illicit ecstasy production. The aim of this project was to use near infrared reflectance spectroscopy (NIRS) for the determination of the different chemical forms of these two substances, as well as for the differentiation of their origin (producer). It was possible to distinguish between the different chemical forms of both compounds, as well as between their origins (producers), although within limits. Furthermore, the possibilities to apply NIR for the analysis of substances such as found in illicit tablets were studied. First, a few cellulose and lactose samples were chosen to make mixtures with amphetamine at three degrees of purity (5, 10 and 15%), in order to study the resulting changes in the spectra as well as to simultaneously quantify amphetamine and identify the excipient. A PLS2 model could be build to predict concentrations and excipient. Secondarily, the technique was to be applied to real ecstasy tablets. About 40 ecstasy seizures were analysed with the aim to determine the excipient and to check them against each other. Identification of the excipients was not always obvious, especially when more than one excipient were present. However, a comparison between tablets appeared to give groups of similar samples. NIR analysis results in spectra representing the tablet blend as a whole taking into account all absorbing compounds. Although NIRS seems to be an appropriate method for ecstasy profiling, little is known about intra- and intervariability of compression batches.     

The Validity of Ear Prediction Guidelines Used in Facial Approximation*,†,‡

Abstract: This study examined eight previously published ear prediction methods by Welcker, Gerasimov, Fedosyutkin and Nainys, and Broadbent and Mathews. Computed tomography scans of 78 living adults (n₁) did not support any of these previously published recommendations. Free earlobes were found to accompany protruding supramastoid crests (Pearson’s χ² < 0.05); and ear length [l] and width [w] differed by sex (p < 0.05), correlated with age (r = 0.38[l]; 0.32[w]), and correlated with facial height (r = 0.37[l]; 0.30[w]). New regression equations (for ear length and width) were generated using these variables in several samples and, where possible, cross‐validated using independent data (n₁ = 78, n₂ = 2190, n₃ = 1328, n₄ = 1010, and n₅ = 47). As a result of these analyses, four valid and tested methods for ear prediction were identified, but large degrees of error continue to make accurate prediction of the ear, from the skull, problematic.