Study of ethno-racial and sexual specificity of hard palate mucosa for person identification

Relief of hard palatal mucosa was examined to identify ethno-racial and gender affiliation in representatives of europeoid, mongolid, and intermediate racial groups, viz Estonians (northern europeoid type), Azerbajaninans (southern europeoid), Koreans (Far East mongoloid), and Kasakhs (intermediate). The results of the study suggest the possibility in principle to identify the ethno-racial affiliation of human subjects from the distribution pattern of hard palate mucosal folds.     

Age, sex and body mass index in relation to calvarial diploe thickness and craniometric data on MRI

It might be critical to determine sex, body mass and age of the individual from skull in forensic medicine and anthropology. Our purpose in this study was to evaluate whether a relationship existed between the diploeic bone thickness measured from glabella, bregma, lambda, opisthocranion, and euryon regions and sex, age and body mass index of the individual. Glabella-opisthocranion, vertex-basion, euryon-euryon, basion-opisthion length were also determined for the same purpose. The anthropological landmarks were determined on sagittal and axial T1-weighted sequences and measurements were obtained on a workstation by two radiologists. A total of 107 subjects (F/M:59/48; mean age: 45.05+/-15.28, age range: 21-81) were included in the study. The mean body mass index was 25.51+/-4.44 [17.50-41]. There was a statistically significant linear correlation between age and diploe thickness from glabella, bregma, lambda, opisthocranion, right and left euryon. There was sexual dimorphism in all craniometric data including the distance between glabella-opisthocranion, vertex-basion, euryon-euryon, basion-opisthion, and calvarial volume. There was a statistically significant linear correlation between body mass index and basion-opisthion length. The diploe thicknesses from certain points of the calvarium are statistically related to each other. A standard cerebral MRI examination would be sufficient to obtain anthropological landmarks and craniometric data. According to this study, it might be possible to identify age, sex and body mass index of the individual from diploeic thickness and craniometric data.     

Estimating damages from price-fixing: the value of transaction data

We use a unique private data set of about 340,000 invoice positions from 36 smaller and larger customers of German cement producers to study the value of such transaction data for an estimation of cartel damages. In particular, we investigate, first, how structural break analysis can be used to identify the exact end of the cartel agreement and, second, how an application of before-and-after approaches to estimate the price overcharge can benefit from such rich data sets. We conclude that transaction data allows such a detailed assessment of the cartel and its impact on direct customers that its regular application in private antitrust cases is desired as long as data collection and preparation procedures are not prohibitively expensive.     

Non-metric data: a note on a neglected problem in DEA studies

Data envelopment analysis (DEA) is widely used to compare the empirical performance of public institutions such as law enforcement agencies, judicial authorities or national health care systems. Many DEA analysts, however, ignore the fact that DEA efficiency values are non-metric. They consequently do not hesitate to compute (arithmetic) means. They do not hesitate either to treat DEA values as metric data in econometric analyses. Instead of providing useful insights into the performance of public bodies, the confusion of non-metric data with metric data constitutes a lack of internal validity that may cause serious fallacies. Against this background, we believe that a clear warning against an uncritical processing and interpretation of DEA values is pertinent and should be routinely considered by efficiency analysts as well as referees of efficiency papers.     

Value of skull identification as evidence using a superimposed video image technic with reference to individual craniometric differences in the human skull

The possibility of using the video superimposition technique for the identification of a skull by comparing it with photographs of missing persons is based on the fact that the human skull, unlike any other part of the human skeleton, shows unmistakable individual characteristics. In order to obtain a quantification, the individuality of human skulls is defined in terms of craniometric data and their probability distribution. First calculations based on the coordinates of some important encephalometric points of 52 European skulls suggest that there are individual aspects comparable to those of fingerprints. Under certain conditions, the video superimposition technique can establish very strong evidence for the identity of an unknown skull, provided that it is applied correctly and carefully.     

The Condorcet Jury Theorem and the Expressive Function of Law: A Theory of Informative Law

We argue that legislation can generate compliance expressively,independently of deterrence. The Condorcet jury theorem impliesthat, in certain circumstances, the legislative process aggregatesthe private information of legislators to reach a decision superiorto that of any individual legislator. Citizens may update theirbeliefs about issues the legislation addresses even though individuallegislators are no better informed than individual citizens,and change their behavior in the direction of greater compliance.We first use a model with sincere voting and then consider strategicvoting, position-taking preferences, lobbying, and legislativeinstitutions. We use a public smoking ban for illustration,and propose an experimental test.     

Experimental statistical studies on the evaluation of the value of evidence in the comparison of human hair

In this paper a statistical experiment is presented which allows to estimate the evidential value of human head hair comparison. The procedure described in detail was essentially the same as in case-work. Questioned hairs were taken randomly from 20 different persons out of a pool of 111 individuals. From each of the 20 persons one, three an five hairs respectively were compared consectively with samples from 100 different individuals. The results were classified as follows: a) "matching" and b) "similar" - if the hair(s) may originate form that person; c) "not matching" - if an individual is excluded as possible source. In our experiment about 95% of the samples (persons) were excluded as possible source of a questioned hair on the average. This is a mean value which may vary considerably in a distinct case. The experiment, its results and problems are discussed.     

Mitochondrial Genome DNA Analysis of the Domestic Dog: Identifying Informative SNPs Outside of the Control Region*

Abstract: While the mitochondrial control region has proven successful for human forensic evaluations by indicating ethnic origin, domestic dogs (Canis lupus familiaris) of seemingly unrelated breeds often form large groups based on identical control region sequences. In an attempt to break up these large haplotype groups, we have analyzed the remaining c. 15,484 base pairs of the canine mitochondrial genome for 79 dogs and used phylogenetic and population genetic methods to search for additional variability in the form of single nucleotide polymorphisms (SNPs). We have identified 356 SNPs and 65 haplotypes in the remainder of the mitochondrial genome excluding the control region. The exclusion capacity was found to be 0.018. The mitochondrial control region was also evaluated for the same 79 dogs. The signals from the different fragments do not conflict, but instead support one another and provide a larger fragment of DNA that can be analyzed as forensic evidence.     

Justifications for the sharing of social science data

Starting with the premise that voluntary sharing of social science data is a desirable professional behavior, this article discusses a variety of justifications for data sharing. These justifications are found to be grounded in the scientific process itself—in the need for science that is more accurate, more open, more knowledgeable, and has more resources at its disposal. Although it is evident that the costs and benefits of data sharing are now unevenly distributed, and that primary researchers currently bear most of the burden and risks, it is argued that the adoption of a data-sharing norm in the social sciences would go a long way to remedy the imbalance. In this regard, the author supports the 1985 data-sharing recommendations put forth by the Committee on National Statistics.This article is based on a presentation at the annual meeting of the American Psychological Association, Washington, D.C., August 23, 1986.U.S. General Accounting Office. The views expressed in this article are the author's and do not necessarily represent the opinions or policies of the GAO.     

The Dutch system of lottery for studies

In the Netherlands, students for branches of study with a scarcity of places are selected through a system of weighed lottery at the moment. Because of unjustice felt in society concerning several recent cases of potential students who lost the lottery and because of the report of the Drenth Commission as well as the advice of the Education Council, the government has proposed a new system. This system will be threefold: direct admittance, weighed lottery, and decentralized selection. Still, the consequences of this new system are doubtful. This revised version was published online in July 2006 with corrections to the Cover Date.     

Guidelines for the responsible application of data analytics

The vague but vogue notion of ‘big data’ is enjoying a prolonged honeymoon. Well-funded, ambitious projects are reaching fruition, and inferences are being drawn from inadequate data processed by inadequately understood and often inappropriate data analytic techniques. As decisions are made and actions taken on the basis of those inferences, harm will arise to external stakeholders, and, over time, to internal stakeholders as well. A set of Guidelines is presented, whose purpose is to intercept ill-advised uses of data and analytical tools, prevent harm to important values, and assist organisations to extract the achievable benefits from data, rather than dreaming dangerous dreams.     

It depends whose data are being shared: considerations for genomic data sharing policies

There is an urgent need for consistent data sharing policies that promote the advancement of science while respecting the values and interests of those providing their genetic data for research. Responding to the article of Jalayne J. Arias, Genevieve Pham-Kanter, and Eric G. Campbell, ‘The Growth and Gaps of Genetic Data Sharing Policies in the United States’, this commentary further explores the challenges of human subjects’ protection in existing data sharing policies. We will elaborate on the need for data sharing policies to accommodate variation in individual and group preferences around data sharing and privacy concerns by comparing our previously published data on patients’ and parents’ consent to data sharing and attitudes about privacy to data from focus groups with HIV-positive, underserved individuals who were asked about their willingness to participate in genetic research and share their data broadly. These studies support the observation of Arias, Pham-Kanter, and Campbell that researchers, and funding agencies will need to balance the privacy interests of groups as well as individuals in future genomic data sharing policies.     

Testing for seasonality in reported crime data

In spite of the apparent importance of crime statistics to policy-makers and the public, these data are not often analyzed or refined in the same manner as other social series such as unemployment. In this paper, seasonal variation in FBI index crimes is investigated for a major urban area. Using Miami data for 1949–1970, a test for seasonality is developed and seasonal indices are constructed for a number of crime types. A definite seasonal pattern in Miami crime data is found to exist, although its importance seems to be declining in recent years. Some applications of seasonally adjusted data to public information and operations are also briefly discussed.     

Dynamic recreation of kernel data structures for live forensics

The role of live forensics in digital forensic investigations has become vital due to the importance of volatile data such as encryption keys, network activity, currently running processes, in memory only malware, and other key pieces of data that are lost when a device is powered down. While the technology to perform the first steps of a live investigation, physical memory collection and preservation, is available, the tools for completing the remaining steps remain incomplete. First-generation memory analyzers performed simple string and regular expression operations on the memory dump to locate data such as passwords, credit card numbers, fragments of chat conversations, and social security numbers. A more in-depth analysis can reveal information such as running processes, networking information, open file data, loaded kernel modules, and other critical information that can be used to gain insight into activity occurring on the machine when a memory acquisition occurred. To be useful, tools for performing this in-depth analysis must support a wide range of operating system versions with minimum configuration. Current live forensics tools are generally limited to a single kernel version, a very restricted set of closely related versions, or require substantial manual intervention.This paper describes techniques developed to allow automatic adaptation of memory analysis tools to a wide range of kernel versions. Dynamic reconstruction of kernel data structures is obtained by analyzing the memory dump for the instructions that reference needed kernel structure members. The ability to dynamically recreate C structures used within the kernel allows for a large amount of information to be obtained and processed. Currently, this capability is used within a tool called RAMPARSER that is able to simulate commands such as ps and netstat as if an investigator were sitting at the machine at the time of the memory acquisition. Other applications of the developed capabilities include kernel-level malware detection, recovery of processes memory and file mappings, and other areas of forensics interest.     

Practical value of LDH-X determination for the detection of sperm traces

The examination of 38 stains collected in sexual offences provided spermatozoa-positive, LDH-X-negative results in 4 samples and spermatozoa-negative, LDH-X-positive results in 6 samples. The results suggest that besides the microscopic detection of spermatozoa the demonstration of LDH-X should be performed in medicolegal identification of seminal stains.