Fatal intoxication with tianeptine (Stablon)

Tianeptine (Stablon^®), although structurally similar to tricyclic antidepressants, acts by enhancing the reuptake of serotonin. A fatal case is presented involving a 26-year-old man, found lying in bed with a “mushroom of foam” around his mouth. Empty blister packs of Stablon^® and a suicide note were found next to the body. A liquid–liquid extraction procedure with n-hexane: ethyl acetate and n-hexane: 2-propanol, followed by LC-DAD-MS analysis, using positive mode electrospray ionization was performed. The detection limit was 0.001 μg/mL. The toxicological results revealed the following tianeptine concentrations in the post-mortem samples: blood 5.1 μg/mL; urine 2.0 μg/mL; liver 23 μg/g; stomach contents 22 mg. Femoral blood analyses also revealed an ethanol concentration of 0.53 g/L. The present method was also developed and validated for the other post-mortem specimens, since no previous published data had confirmed the post-mortem distribution of tianeptine. The absence of other suitable direct causes of death (macroscopic or histological) and the positive results achieved with the toxicological analysis led the pathologist to rule that death was due to an intoxication caused by the suicidal ingestion of tianeptine in combination with alcohol.     

Climate Change and the US Security Sector: the Securitization of Climate Change

This preliminary study traces how climate change came to be viewed as a security issue in the United States through a review of policy documents and reports prepared for and by the US security sector. The paper draws upon the ideas of constructivist schools of security studies to provide an analytical framework for understanding the meaning of the securitization process as it has occurred in the United States. It then refl ects upon the adequacy of those frameworks to interpret the securitization of climate change. In the US, new knowledge of the phenomenon of climate change was fi rst constructed in the research sector, in the fi elds of meteorology and atmospheric science. Environmental and Earth sciences then became a locus of research, and climate change fi rst entered security discourse as a topic of environmental protection. As the implications of climate change and its potential impact on water resources, food production, diseases, infrastructure, and human migration came to the attention of the security sector, this knowledge stimulated an internal discourse, where each new document functioned both as a new securitization statement and as a policy response to prior documents in a chain of discourse. Actors in this securitization process included not only “speakers” making a securitization claim (knowledge claim) and “audiences” that accept or reject a claim. Importantly, it also included actors who were instrumental in translating knowledge between research and security sectors. This brief consideration suggests that social science theories that center on practice are more robust than those that center on discourse for interpreting the securitization of climate change. Improved analytic frameworks need to better account for actors whose role is to transfer and translate knowledge from one sector to another.     

Deep learning for sex determination: Analyzing over 200,000 panoramic radiographs

The objective of this study is to assess the performance of an innovative AI-powered tool for sex determination using panoramic radiographs (PR) and to explore factors affecting the performance of the convolutional neural network (CNN). The study involved 207,946 panoramic dental X-rays and their corresponding reports from 15 clinical centers in São Paulo, Brazil. The PRs were acquired with four different devices, and 58% of the patients were female. Data preprocessing included anonymizing the exams, extracting pertinent information from the reports, such as sex, age, type of dentition, and number of missing teeth, and organizing the data into a PostgreSQL database. Two neural network architectures, a standard CNN and a ResNet, were utilized for sex classification, with both undergoing hyperparameter tuning and cross-validation to ensure optimal performance. The CNN model achieved 95.02% accuracy in sex estimation, with image resolution being a significant influencing factor. The ResNet model attained over 86% accuracy in subjects older than 6 years and over 96% in those over 16 years. The algorithm performed better on female images, and the area under the curve (AUC) exceeded 96% for most age groups, except the youngest. Accuracy values were also assessed for different dentition types (deciduous, mixed, and permanent) and missing teeth. This study demonstrates the effectiveness of an AI-driven tool for sex determination using PR and emphasizes the role of image resolution, age, and sex in determining the algorithm's performance.     

A new pentaplex system to study short tandem repeat markers of forensic interest on X chromosome

A new method has been optimised to amplify five X chromosome short tandem repeat (STR) markers of interest in forensic medicine: human phosphoribosyl transferase (HPRTB), DXS101, androgen receptor (ARA), DXS7423 and DXS8377. Markers were conveniently amplified in a single PCR reaction with fluorochrome-labelled primers, which allowed the analysis of fragment sizes after injection into a capillary electrophoresis system. The most common alleles of each locus were sequenced and used in a control ladder to type unknown samples.     

Results of a collaborative study of the EDNAP group regarding the reproducibility and robustness of the Y-chromosome STRs DYS19, DYS389 I and II, DYS390 and DYS393 in a PCR pentaplex format

A collaborative exercise was carried out by the European DNA Profiling Group (EDNAP) in the frame work of the STADNAP program, i.e. standardization of DNA profiling in Europe, in order to evaluate the performance of a Y-chromosome STR pentaplex, which includes the loci DYS19, DYS389 I and II, DYS390 and DYS393 and to determine whether uniformity of results could be achieved among different European laboratories.Laboratories were asked to analyze the five Y-STRs using singleplex and multiplex conditions in three bloodstains and one mixed stain (95% female and 5% male).All the laboratories reported the same results even for the mixed stain included in the exercise. This demonstrates the reproducibility and robustness of Y-chromosome STR typing even with multiplex formats and proves the usefulness of Y-STR systems for analyzing mixed stains with a male component.A total of 930 male samples from 10 different populations from Europe were also analysed for all the loci included in the pentaplex. Eight of these ten populations also included haplotype data.As for single gene analysis, haplotype diversity was higher in Germany and Italy and lower in Western European countries and Finland.Pairwise haplotype analysis shows the Finnish departure from the rest of the populations and a relatively homogeneity in the other European populations with F(ST) estimates lower than 0.05.UPGMA analysis shows an association of Western European population (Ireland, UK, Portugal and Galicia) on the one hand and central European populations on the other.     

STR data for the AmpFlSTR profiler plus loci from Macau (China).

Allele frequencies for the nine STRs included in the AmpFlSTR profiler plus kit (D3S1358, VWA, FGA, D8S1179, D21S11, D18S51, D5S818, D13S317 and D7S820) were estimated from a sample of 87 unrelated individuals living in the region of Macau, a territory located in the southeastern coast of China.     

STR data (CD4, CSF1PO, F13A01, FES/FPS, MBPB, TH01, TPOX) from North Portugal.

Allele frequencies for seven STRs (CD4, CSF1PO, F13A01, FES/FPS, MBPB, TH01, TPOX) were estimated from samples (sized between 300 and 940) of unrelated individuals born in North Portugal.     

The nationalization of electoral cycles in the United States: a wavelet analysis

We take a new look at electoral sectionalism and dynamic nationalization in presidential elections. We treat this problem as one of synchronism of electoral cycles, which we estimate by using wavelets. After providing a self-contained introduction to wavelet analysis, we use it to assess the degree and the dynamics of electoral synchronization in the United States. We determine clusters of states where electoral swings have been more and less in sync with each other and with the national cycle. Then, we analyze how the degree of synchronism of electoral cycles has changed through time, answering questions as to when, to what extent, and where has a tendency towards a “universality of political trends” in presidential elections been more strongly felt. We present evidence strongly in favor of an increase in the dynamic nationalization of presidential elections taking place since the 1950s, largely associated with a convergence in most (but not all) Southern states.     

Capital and Labour Mobility and their Impacts on Mexico's Regional Labour Markets

Abstract

This paper studies the effects of capital and labor mobility on real wages across Mexican states for the period 1997–2006. Employing dynamic panel data methods, we find: (1) strong positive effects on real wages from foreign direct investment (FDI) and from migration; (2) domestic and foreign migration provide similar wage effects; and (3) alternative partitions indicate that real wages are more sensitive to FDI-related fluctuations across states with relatively lower wages and migration levels. Overall, these results provide support that real wages respond positively to fluctuations in capital flows and labour movements as predicted from the theory.