Acute selenium poisoning: suicide by ingestion

Selenium is a ubiquitous element in the environment essential to the human diet and widely utilized in industrial processes. Fatal human selenium intoxication is rare. The authors report a case in which investigators recovered a bottle of gun-bluing agent beside a 24-year-old man. He exhibited signs and symptoms typical of acute selenium intoxication presenting with nausea and vomiting, followed by pulmonary edema and rapid cardiovascular collapse approximately 3 to 4 h after ingestion. Classic electrocardiographic (EKG) changes, which have been reported to occur in acute selenium intoxication, included sinus tachycardia with ST wave alteration. Toxicological results confirmed elevated blood and tissue concentrations. The cause of death was ascribed to acute selenium intoxication, which ensued rapidly after oral consumption. The manner of death was suicide. This case report, which presents an overview of acute and chronic selenium poisoning, underscores the value of thorough toxicologic analyses of tissue and body fluids in humans.     

The role of moral disengagement in the execution process

The present study tested the proposition that disengagement of moral self-sanctions enables prison personnel to carry out the death penalty. Three subgroups of personnel in penitentiaries located in three Southern states were assessed in terms of eight mechanisms of moral disengagement. The personnel included the execution teams that carry out the executions; the support teams that provide solace and emotional support to the families of the victims and the condemned inmate; and prison guards who have no involvement in the execution process. The executioners exhibited the highest level of moral, social, and economic justifications, disavowal of personal responsibility, and dehumanization. The support teams that provide the more humane services disavowed moral disengagement, as did the noninvolved guards but to a lesser degree than the support teams.     

Survey of crowbar and household paints in burglary cases-population studies, transfer and interpretation

Experimental data useful for the interpretation of paint evidence recovered during burglary cases were obtained. A population study was carried out on 41 blue crowbars seized on suspects in Switzerland and 37 blue paints traces found at burglary scenes. Paint traces were also searched on the blades of 207 crowbars seized by the police in Switzerland and 24 white traces were analysed: these paints were analysed using infrared spectroscopy (FTIR) in order to estimate relative frequencies of each paint type. Simulated contacts were carried out between crowbars and painted wood in order to study the phenomenon of transfer and to evaluate the amount of paint transferred: a total of 198 simulations were carried out including individual, successive and cross transfer. The paint properties such as the chemical composition and its age influenced the amount of paint transferred. Cross transfer from the tool paint to the wood and vice versa was regularly observed. Moreover, secondary transfer of paint coming from the preceding wooden surfaces was also systematically observed: this could establish links between several burglary scenes and a suspected tool. A scenario of a burglary case involving the cross transfer between tool and household paints is proposed as a numerical example: the evaluation of such case was formalised using likelihood ratios based on the experimental data obtained.     

The case of the missing victims: Gunshot woundings in the National Crime Survey

National Crime Survey (NCS) data yield an estimate that 171,000 Americans were nonfatally shot in criminal assaults, robberies, and rapes for the period 1973–1979. Comparing this estimate with the number of firearms homicides during this period suggests either that the death rate in gunshot cases is very high (over 1/3) or that the NCS estimate is low. Based on police-generated data appropriate to estimating the true death rate from gunshot wounds, it appears that the NCS estimate is low by a factor of about 3.0 compared with the number of criminal gunshot woundings known to the police. It is common knowledge that survey-based estimates of assault rates tend to be relatively unreliable, a fact that has been attributed to problems with respondents being willing and able to recall threats, fist fights, and other minor assaults. The current result indicates that the estimation problem is not limited to minor assaults. There is reason to think that the underestimate of gunshot woundings is the result of problems with the NCS sample as well as problems with respondent cooperation.     

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.     

A Linear Poisson Autoregressive Model: The Poisson AR(p) Model

Time series of event counts are common in political scienceand other social science applications. Presently, there arefew satisfactory methods for identifying the dynamics in suchdata and accounting for the dynamic processes in event countsregression. We address this issue by building on earlier workfor persistent event counts in the Poisson exponentially weightedmoving-average model (PEWMA) of Brandt et al. (American Journalof Political Science 44(4):823–843, 2000). We developan alternative model for stationary mean reverting data, thePoisson autoregressive model of order p, or PAR(p) model. Issuesof identification and model selection are also considered. Wethen evaluate the properties of this model and present bothMonte Carlo evidence and applications to illustrate.