Polymerase slippage in relation to the uniformity of tetrameric repeat stretches

The aim of the study was to test the hypothesis that polymerase slippage correlates to the length of repeat stretches consisting of uniform repeats against the alternative hypothesis that the total number of repeats is most relevant. Two short tetrameric short tandem repeats (STRs) with different repeat structures were investigated: D3S1545 containing only homogeneous (GATA)n repeat stretches and D7S1517 with compound repeat arrays of GAAA and CAAA repeats. Additionally two different polymerases (Herculase and AmpliTaq Gold) were used which gave comparable results. No correlation was found for the hypothesis "total repeat number against percent of stutter"; in contrast, the other hypothesis that the number of uniform repeats is relevant for the degree of stutter gave a strong positive correlation (0.82 for selected D7S1517 alleles) which confirmed the hypothesis that polymerase slippage correlates to the length of repeat stretches consisting of uniform repeats.     

Complex suicides by self-incineration

Among the few cases of suicidal self-incineration primary or secondary complex suicides are a rarity. Accordingly the number of reports on this subject in the forensic literature is small. In a retrospective analysis of the Freiburg and Berlin autopsy material, four cases were found within an observation period of 11 years. These are described together with seven other cases reported in the literature. Altogether most of these suicides are primary combinations, especially with falls from a height. Other combinations include hanging or the infliction of stabs, cuts or gunshot injuries. The sex and age distribution is similar to that found for suicide by self-incineration alone.     

Classification of premium and regular gasoline by gas chromatography/mass spectrometry,principal component analysis and artificial neural networks

Detection and correct classification of gasoline is important for both arson and fuel spill investigation. Principal component analysis (PCA) was used to classify premium and regular gasolines from gas chromatography-mass spectrometry (GC-MS) spectral data obtained from gasoline sold in Canada over one calendar year. Depending upon the dataset used for training and tests, around 80-93% of the samples were correctly classified as either premium or regular gasoline using the Mahalanobis distances calculated from the principal components scores. Only 48-62% of the samples were correctly classified when the premium and regular gasoline samples were divided further into their winter/summer sub-groups. Artificial neural networks (ANNs) were trained to recognise premium and regular gasolines from the same GC-MS data. The best-performing ANN correctly identified all samples as either a premium or regular grade. Approximately 97% of the premium and regular samples were correctly classified according to their winter or summer sub-group.     

Leading the health policy orchestra: the need for an intergovernmental partnership

The past decade provides a useful window through which to examine whether states are likely to provide health care leadership. During this era, states were given increased discretion to set health care policy, they had the financial resources to encourage innovation, and their administrative capacity was at its strongest ever. Despite the favorable conditions, however, states were reluctant to spend their own funds on programs for the uninsured, their efforts to make private insurance more affordable for the small business community were disappointing, and their efforts to regulate the managed care industry fell short. At the same time, though, the most promising innovations over the past decade were in programs financed primarily with federal dollars, administered primarily by state officials, and advanced by an intergovernmental partnership in which administrators at different levels of government prod each other to try and do more. This sort of intergovernmental partnership provides the best model for innovative health policy leadership.     

Therapeutic jurisprudence and outpatient commitment law: Kendra's Law and case study.

This article considers the implications of assisted outpatient commitment laws (OPC), with specific focus on New York's "Kendra's Law" through the lens of therapeutic jurisprudence (TJ). In this article, the author offers perspectives on the relationship between involuntary civil commitment, outpatient commitment, and the concept of the "least restrictive alternative"; considers pertinent empirical research, and looks at OPC's controversial relationship to forced drugging. Here, the civil libertarian critique is briefly considered, as well as the MacArthur Research Network research. Finally, the author looks closely at Kendra's Law, providing a brief overview of the law itself, and identifying some "pressure points" and pivotal issues, and considers the TJ implications of Kendra's Law, to determine how it "fits" into the public's "take" on all of mental disability law.