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.     

Voting functions in the EU-15

This paper examines whether the European integration process, by transferring policy instruments to supra-national authorities, has affected voters’ evaluations of governments’ economic performance at elections. The analysis is implemented on a panel of 15 EU countries, from 1970 to 2011. Results suggest that before the Maastricht Treaty, citizens held incumbents responsible for GDP growth and for the evolution of inflation, particularly when measured relative to the EU average. After the Maastricht Treaty, there was a significant reduction in the impact of economic variables, especially inflation, on electoral outcomes. During the current economic crisis the capacity to control the budget deficit appears to be the main determinant of incumbents’ vote shares.     

Intergovernmental fiscal transfers as pork barrel

This paper uses a simultaneous equations model to analyze increases in intergovernmental fiscal transfers and associated vote changes in Portuguese legislative elections. The results suggest that election year increases in transfers by the central government to municipalities secure added votes, and that these transfers are targeted at jurisdictions where the government faces the risk of losing support.     

Weight References for Burned Human Skeletal Remains from Portuguese Samples

Weight is often one of the few recoverable data when analyzing human cremains but references are still rare, especially for European populations. Mean weights for skeletal remains were thus documented for Portuguese modern cremations of both recently deceased individuals and dry skeletons, and the effect of age, sex, and the intensity of combustion was investigated using both multivariate and univariate statistics. The cremains from fresh cadavers were significantly heavier than the ones from dry skeletons regardless of sex and age cohort (p < 0.001 to p = 0.003). As expected, males were heavier than females and age had a powerful effect in female skeletal weight. The effect of the intensity of combustion in cremains weight was unclear. These weight references may, in some cases, help estimating the minimum number of individuals, the completeness of the skeletal assemblage, and the sex of an unknown individual.     

Estimating intersectoral technology spillovers for Brazil

This paper aims to evaluate the main intersectoral R&D flows in the Brazilian economy, determining their direction and magnitude. Unlike other studies that focus exclusively on rent spillovers flows of R&D, this paper also calculates spillovers with total spending on innovation in addition to R&D expenditure. In the case of developing countries, where R&D is of lower relative importance, we assume that technological effort is measured more accurately if it is considered as different types of innovative expenditure. We used data from the Technological Innovation Survey, conducted by the Brazilian Institute of Geography and Statistics with the support of Ministry of Science and Technology and data from an input–output matrix for the Brazilian economy, calibrated by Laboratório de Analises Territoriais e Setoriais—LATES of the Federal University of Juiz de Fora. The analysis is from the year 2011 and covers 32 sectors of economic activity resulting from the compatibility of the two databases. The main results show a mapping of the intersectoral flow of knowledge embodied both by the total expenditure on innovation and by in-house R&D to Brazil for the year 2011. It is important to highlight the wealth of detail of such a mapping, as it characterizes not only by sectoral interdependence of these aspects, but it also shows the direction of flows, the sectoral hierarchy in terms of “donation” of technical knowledge and the intersectoral flows in terms of technological intensity.     

Illegal access to information systems and the Directive 2013/40/EU

Directive 2013/40/EU of the European Parliament and of the Council of 12 August 2013, on attacks against information systems, came into force on 3 September 2013, replacing Council Framework Decision 2005/222/JHA. It maintains existing offences and criminalizes new activities such as illegal interception and the usage of certain tools for committing offences. The offence that is the focus of this article – illegal access to information systems – is set out in Article 3. It represents a change from the wording of Art 2 (2) of the Framework Decision 2005/222/JHA in that under Art 3 of the Directive the incrimination of illegal access to information systems now depends upon whether such access infringes a security measure. This paper provides an overview of the impetus for the introduction of cybercrime laws and analysis of the key provisions of the Directive before exploring whether the wording of Art 3 is a sensible legislative approach.     

Women’s activism in a drug user union in the Downtown Eastside

Marginalized women in Canada who use criminalized drugs are often defined through institutional discourses of addiction, disease, poverty, sex work, and violence. Framed by many researchers as an at risk population, the fullness of these women’s lives is often rendered invisible, and the complexity, diversity, and range of experiences of their political and community work and their movement through the city are less often a topic of interest. This gap is addressed through an exploration of how some marginalized women come to know and experience themselves politically and physically, as part of a reflection upon their movement in and through the Downtown Eastside (DTES) of Vancouver, British Columbia, Canada. Drawing from community-based research in the DTES over a four-month period with women in leadership roles at the Vancouver Area Network of Drug Users, a drug user union, this paper highlights the results from focus groups and brainstorming sessions. The participants disrupt conventional notions of addiction and criminalization through their political and community activities and their ongoing resistance to systemic discrimination.     

Psychometric properties of the Barratt Impulsiveness Scale version 11 among a Portuguese sample of incarcerated juvenile offenders

The aim of the present study was to examine the psychometric properties of the Barratt Impulsiveness Scale version 11 (BIS-11) among a forensic sample of incarcerated male juvenile offenders (N?=?221). Principal Component Analysis with Promax rotation revealed the expected 6-factor structure, but Confirmatory Factor Analysis of the 6-factor first-order and the 3-factor second-order factorial structures did not present sufficiently good fits. Despite that, the Portuguese adaptation of the BIS-11 demonstrated generally acceptable psychometric properties in terms of internal consistency, mean inter-item correlation, convergent validity, discriminant validity, and concurrent validity that justifies its use among the youth forensic population. Statistically significant associations were found with age of crime onset, conduct disorder, crime seriousness, alcohol use and drug use.     

Prison sentences: last resort or the default sanction?

ABSTRACT

This paper discusses the sentencing purposes for penal penalties, judges’ perceptions of sentencing purposes and prison sentences, and the effects of penal sanctions. We examine judges’ positions towards different penalties, with a focus on imprisonment, since their views on the different penalties are related to their sentencing decision-making. Understanding these views is then critical for several practical and political purposes, including bridging the gap between academic discourse and legal practice. We accessed judges’ views on penal sanctions through a questionnaire and an interview. Our sample is compounded by the judges of the criminal courts from the three major cities in Portugal. Despite the most recent criminological empirical knowledge, judges valued imprisonment as the most adequate sentence, both for different crimes and for different judicial purposes. This result is not consistent with viewing imprisonment as a ‘last resort’ solution. Indeed, we did not find this ‘last resort’ position in our data, and it is not apparent in the judicial statistics on imprisonment rates. Our data highlight the importance of increasing judges’ training on criminological and sociological issues as well as the importance of changing the influence of their personal beliefs regarding penal sanctions into research-based positions.