Forensic palynology: current status of a rarely used technique in the United States of America

The United States of America would seem to be an excellent location for using pollen data in forensic applications. The vegetation within the region is highly diverse ranging from areas of Arctic tundra to some of the most inhospitable deserts anywhere in the Western Hemisphere. The highly varied ecology, great plant diversity, thousands of vegetational microhabitats, and extensive published pollen records for the region provide an ideal setting for these types of analyses. This diversity, often characterized in most locations by unique combinations of pollen types, makes the use of forensic pollen a reliable technique that can often be used to associate individuals with a unique crime scene or geographical region. Nevertheless, forensic pollen studies in the United States of America are currently one of the most highly under utilized techniques available to assist in solving criminal and civil cases. During the past century there has been a very limited attempt to use pollen evidence in either criminal or civil cases, for a variety of reasons, including a lack of available information about the technique, a very limited number of specialists trained to do forensic pollen work, and an almost total absence of academic centers able to train needed specialists or forensic facilities able, or willing, to fund research in this area. Hopefully, this paucity of use will change if certain steps are taken to encourage the routine collection and use of pollen evidence in both criminal and civil cases.     

Correlation Versus Interchangeability: The Limited Robustness of Empirical Findings on Democracy Using Highly Correlated Data Sets

This article shows that highly correlated measures can producedifferent results. We identify a democratization model fromthe literature and test it in more than 120 countries from 1951to 1992. Then, we check whether the results are robust regardingmeasures of democracy, time periods, and levels of development.The findings show that measures do matter: Whereas some of thefindings are robust, most of them are not. This explains, inpart, why the debates on democracy have continued rather thanbeen resolved. More important, it underscores the need for morecareful use of measures and further testing to increase confidencein the findings. Scholars in comparative politics are drawnincreasingly to large-N statistical analyses, often using datasets collected by others. As in any field, we show how theymust be careful in choosing the most appropriate measures fortheir studies, without assuming that any correlated measurewill do.     

Validating TrueAllele® Interpretation of DNA Mixtures Containing up to Ten Unknown Contributors

Most DNA evidence is a mixture of two or more people. Cybergenetics TrueAllele^® system uses Bayesian computing to separate genotypes from mixture data and compare genotypes to calculate likelihood ratio (LR) match statistics. This validation study examined the reliability of TrueAllele computing on laboratory-generated DNA mixtures containing up to ten unknown contributors. Using log(LR) match information, the study measured sensitivity, specificity, and reproducibility. These reliability metrics were assessed under different conditions, including varying the number of assumed contributors, statistical sampling duration, and setting known genotypes. The main determiner of match information and variability was how much DNA a person contributed to a mixture. Observed contributor number based on data peaks gave better results than the number known from experimental design. The study found that TrueAllele is a reliable method for analyzing DNA mixtures containing up to ten unknown contributors.     

STR data for the AmPFlSTR SGM plus from a regional population of Austria.

Allele frequencies for 10 microsatellite loci--D3S1358, vWA, D16S539, D2S1338, D19S433, THO1, FGA, D8S1179, D21S11 and D18S51--were determined in an Austrian Caucasian population sample from Vienna using the AmpFlSTR SGM plus amplification kit (Applied Biosystems). This study was done on a population sample of 609 unrelated individuals from the city of Vienna.     

Cumulative experiences of violence among high-risk urban youth

This study examines type-specific and cumulative experiences of violence among a vulnerable population of youth. Sixty high-risk, shelter-dwelling, urban youth were interviewed regarding their history of childhood maltreatment, exposure to community violence (ECV), and experience with intimate partner violence (IPV). Results show a high prevalence and high degree of overlap among multiple types of violence exposure. Childhood physical, sexual (CSA), and emotional (CEA) abuse were interrelated and were associated with ECV. Cumulative experiences of childhood abuse (CCA) had a graded association with IPV victimization. In multivariate analyses, CCA and ECV were independently associated with IPV victimization. Gender moderated the effect of one association: CEA raised the risk of IPV victimization for girls but not for boys. Only CSA predicted IPV perpetration. Findings suggest that cumulative exposures to violence create cumulative risk for experiencing more violence. Shelter-dwelling, urban youth may be particularly vulnerable to this additive effect.     

Measuring the performance of research and technology programs: A balanced scorecard approach

Research programs, like other government programs, are now being requested to demonstrate relevance and value added to national social and economic needs. Complexity, unpredictability and other factors make it difficult to define specific performance measures for R&D programs. This paper describes the performance measurement efforts of one technology development program within the U.S. Department of Energy and proposes a strategy for applying this balanced scorecard approach to a fundamental research organization. Simple logical models of the inputs, activities, outcomes and long term results of R&D programs are proposed. A critical few measures of performance that answer questions from multiple audiences are then chosen across this performance spectrum. This paper describes work performed by Sandia National Laboratories Energy Policy and Planning Department, Albuquerque, New Mexico 87185, with the support of the U.S. Department of Energy under contract DE-AC0494AL85000. The continued support and enthusiams of Darrell Beschen in the DOE Office of Energy Efficiency and Renewable Energy and Iran Thomas in DOE Office of Energy Research, Basic Energy Sciences, is appreciated. The authors also acknowledge the contributions of John Reed and the training in the logic chart and performance spectrum provided by Ron Corbeil and Steve Montague. The opinions expressed are those of the authors and do not represent the opinions of the U.S. Department of Energy.     

Specimen preparation for ABO determination of various kinds of blood stains

Trying to optimize the preparation of blood stains, we found methanol fixation not to produce very good results for the determination of ABO blood group antigens. It is advantageous to transfer blood stains before testing to cotton cloth. This transfer is also of practical use if blood stains are to be saved on a smooth surface for lateral determination. We testet on 35 different carrier materials, on which blood stains in casework often were found, whether blood grouping gave better results on either the original material or after transfer. Results are shown on a table. The test revealed, that solubility of the stain in aqua dest is a good sign for a successful transfer. Blood stains on pine-wood soil, soil and loam were not suited for ABO grouping.