Development of a Simple and Low‐Cost Enzymatic Methodology for Quantitative Analysis of Carbamates in Meat Samples of Forensic Interest

Abstract: Foods contaminated with a granulated material similar to Temik (a commercial pesticide formulation containing the carbamate insecticide aldicarb) are often involved in accidental ingestion, suicides, and homicides in Brazil. We developed a simple technique to detect aldicarb. This technique is based on the inhibition of a stable preparation of the enzyme acetylcholinesterase, and it is specially adapted for forensic purposes. It comprises an initial extraction step with the solvent methylene chloride followed by a colorimetric acetylcholinesterase assay. We propose that results of testing contaminated forensic samples be expressed in aldicarb equivalents because, even though all other carbamates are also potent enzyme inhibitors, aldicarb is the contaminant most frequently found in forensic samples. This method is rapid (several samples can be run in a period of 2 h) and low cost. This method also proved to be precise and accurate, detecting concentrations as low as 40 μg/kg of aldicarb in meat samples.     

Incapacity of the Mind Secondary to Medication Misuse as a Not Criminally Responsible Defense

The manifestations of disorders of the mind may play a role in the occurrence of criminal behavior. In the majority of the cases, the presence of a psychiatric disorder is cited as the reason that an individual was not fully aware of his behavior. However, other conditions, such as seizure disorders or hypoglycemia, have also been linked to an inability to understand the nature and consequences of one's actions. On occasion, these situations can be explained by a state of automatism that may be described as insane or noninsane. In this article, we describe the case of a 77‐year‐old man, suffering from Parkinson's disease, where the issue of criminal responsibility associated with incapacity of the mind secondary to medication misuse was raised. We elaborate on the thinking behind this opinion and the implications according to Canadian law. Although the legal outcome of this case is specific to our jurisdiction, the clinical implication may be common to any patient suffering from a similar condition and may inform physicians, families, and lawyers.     

Measuring Political Preferences: Ratings for Members of the Swiss National Council

Party affiliation as the standard measure of political preferences of Swiss legislators is associated with several problems. To overcome these problems the authors develop ratings for members of the National Council, based on roll-call votes. They discuss the construction of the ratings and their limitations in detail, and outline the importance of this kind of information for the participants of the political process, as well as some applications in empirical research.     

The role of mobile computed tomography in mass fatality incidents

Mobile multi-detector computed tomography (MDCT) scanners are potentially available to temporary mortuaries and can be operational within 20 min of arrival. We describe, to our knowledge, the first use of mobile MDCT for a mass fatality incident. A mobile MDCT scanner attended the disaster mortuary after a five vehicle road traffic incident. Five out of six bodies were successfully imaged by MDCT in c. 15 min per body. Subsequent full radiological analysis took c. 1 h per case. The results were compared to the autopsy examinations. We discuss the advantages and disadvantages of imaging with mobile MDCT in relation to mass fatality work, illustrating the body pathway process, and its role in the identification of the pathology, personal effects, and health and safety hazards. We propose that the adoption of a single modality of mobile MDCT could replace the current use of multiple radiological sources within a mass fatality mortuary.     

Using Named Entities for Computer‐Automated Verbal Deception Detection

There is an increasing demand for automated verbal deception detection systems. We propose named entity recognition (NER; i.e., the automatic identification and extraction of information from text) to model three established theoretical principles: (i) truth tellers provide accounts that are richer in detail, (ii) contain more contextual references (specific persons, locations, and times), and (iii) deceivers tend to withhold potentially checkable information. We test whether NER captures these theoretical concepts and can automatically identify truthful versus deceptive hotel reviews. We extracted the proportion of named entities with two NER tools (spaCy and Stanford's NER) and compared the discriminative ability to a lexicon word count approach (LIWC) and a measure of sentence specificity (speciteller). Named entities discriminated truthful from deceptive hotel reviews above chance level, and outperformed the lexicon approach and sentence specificity. This investigation suggests that named entities may be a useful addition to existing automated verbal deception detection approaches.     

Gender Determination of Adult Individuals by Three‐Dimensional Modeling of Canines

Gender determination is a fundamental issue in forensic anthropology. Many techniques based on bone and dental remains have been proposed. It is not always possible to implement the techniques using bones, but teeth are often perfectly preserved. It has been demonstrated that the canine has the greatest sexual dimorphism, and the aim of this work was to provide an easy and accurate dental technique for determining the gender in the absence of other skeletal elements. The sample was composed of 210 CT scans with four healthy canines. The 840 canines were modeled using MIMICS^® 10.01 software. The total volume of each tooth was determined. Seven mathematical models were determined by binary logistic regressions and ranked in order of relative performance. The seven proposed predictive models thus performed (0.910 ≤ AUC ≤ 0.938), with overall rates of correct predictions between 82.38 and 85.24%. The 4‐canine model is the most powerful for predicting the gender.