Economic performance and turnout at national and local elections

This paper analyzes the impact of economic performance on voter turnout. We estimate an economic turnout model in which local economic variables are included in quadratic form, so that non-linear effects can be taken into account. We use panel datasets covering municipalities, from 1979 to 2005, and cross-sections of parishes (freguesias) to analyze the determinants of turnout at Portuguese municipal and legislative elections. The empirical results indicate that the performance of the national economy is important only in legislative elections and that the regional and local unemployment rates tend to have non-linear relationships to turnout. The results obtained for Flemish municipalities also provide evidence in favor of a non-linear effect of unemployment on turnout.     

Population genetic data of five X-chromosomal loci in Bauru (São Paulo, Brazil)

Genetic population data for five X-STR (DXS6854, DXS7424, DXS101, DXS6808 and DXS7132) were obtained from Bauru population (São Paulo, Brazil). No deviations from the Hardy-Weinberg equilibrium were observed, with the exception of DXS101. The combined powers of discrimination in males and females were 0.99897253 and 0.99999120, respectively. These high values show the potential of this system in human identification and paternity testing.     

Behavioral and Institutional Determinants of Political Business Cycles

The link between business cycles and the democratic politicalsystem has long been recognized by economists. However, thedeterminants of political business cycles are not well understood.We discuss several institutional and behavioral determinants ofthose cycles, such as revolving-door appointments, term limits andpreferences of the incumbent politician, electorate and businesscommunity concerning the intertemporal pattern of publicexpenditure. We show how they affect the cycle's amplitude in thecontext of a rational-expectations model.     

Y-miniSTR: New application for compromised samples (population data)

In this work 127 unrelated individuals living in the North of Portugal were typed for 8 Y-miniSTRs (DYS504, DYS508, DYS522, DYS540, DYS556, DYS570, DYS576 and DYS632). One hundred and one different haplotypes were detected and 88 of them were found to be unique. Haplotype diversity (0.9936) and discrimination capacity (69.29%) were calculated.     

The Electoral Dynamics of Human Development

This paper analyses the impact of elections, partisan and political support effects on the dynamics of human development in a panel of 82 countries over the period 1980–2013. A Generalised Method of Moments(GMM) estimator is employed and the results point out to the presence of an electoral cycle in the growth rate of human development. Majority governments also influence it, but no evidence is found regarding partisan effects. The electoral cycles have proved to be stronger in non-OECD countries, in countries with less frequent elections, with lower levels of income and human development, in presidential and non-plurality systems and in proportional representation regimes.     

Halogenated solvent interactions with N,N-dimethyltryptamine: formation of quaternary ammonium salts and their artificially induced rearrangements during analysis

The psychoactive properties of N,N-dimethyltryptamine (DMT) 1a are known to induce altered states of consciousness in humans. This particular attribute attracts great interest from a variety of scientific and also clandestine communities. Our recent research has confirmed that DMT reacts with dichloromethane (DCM), either as a result of work-up or storage to give a quaternary N-chloromethyl ammonium salt 2a. Furthermore, this was observed to undergo rearrangement during analysis using gas chromatography-mass spectrometry (GC-MS) with products including 3-(2-chloroethyl)indole 3 and 2-methyltetrahydro-beta-carboline 4 (2-Me-THBC). This study further investigates this so far unexplored area of solvent interactions by the exposure of DMT to other halogenated solvents including dibromomethane and 1,2-dichloroethane (DCE). The N-bromomethyl- and N-chloroethyl quaternary ammonium derivatives were subsequently characterised by ion trap GC-MS in electron and chemical ionisation tandem MS mode and by NMR spectroscopy. The DCE-derived derivative formed at least six rearrangement products in the total ion chromatogram. Identification of mass spectrometry generated by-products was verified by conventional or microwave-accelerated synthesis. The use of deuterated DCM and deuterated DMT 1b provided insights into the mechanism of the rearrangements. The presence of potentially characteristic marker molecules may allow the identification of solvents used during the manufacture of controlled substances, which is often neglected since these are considered inert.     

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.     

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.