Psychometric Properties of Revised Conflict Tactics Scales: Portuguese Sibling Version (CTS2-SP)

The Revised Conflict Tactics Scales (CTS2, Straus et al. Journal of Family Issues, 17, 283–316, 1996) were conceived to measure Psychological Aggression, Physical Assault, Sexual Coercion, Injury and the use of Negotiation towards a partner in a marital, cohabiting or dating relationship. The CTS2-SP was designed for obtaining data on conflict tactics between siblings. The main objective of this study was to examine the psychometric properties of the CTS2-SP Portuguese version. Data were collected among 590 Portuguese university students. Reliability was assessed through Cronbach’s alpha ranging from 0.65 to 0.81 for the perpetration scales and ranging 0.66 to 0.84 to victimization scales. Significant correlations between different forms of the CTS2 illustrate its construct validity. The psychometric characteristics of CTS2-SP Portuguese version were found to be adequate. The CTS2-SP offers a reliable and valid measure to be used within the Portuguese population.     

The Institutional Settings for the Development of Public Services through State-Owned Enterprises in Brazil

The findings of this study make a timely contribution to the development of public services. Based on the institutional analysis and development (IAD) framework, this study analyzes under which institutional settings state-owned enterprises (SOEs) can be social and financial options for public service provision in Brazil. Applying a multi-case research design, this study’s findings show that SOEs can be a suitable option for Brazilian social and financial development when: markets are weak or noncompetitive; if few decisional players act; if political interference is minimized regarding operational decisions; and if corporate control is effective to avoid mismanagement and corruption. Brazilian SOEs are effective economic and social tools, but they need to peroxide value improve their corporate control (in the case of Petrobras) and strategic centralization decisions (in the case of Eletrobrás) .     

Attitudes toward Consent-Based and Non-Consent-Based International Law in a Regional Power Context

International legal scholars have identified and argued for and against new forms of non-consent-based international law. We study variation in Brazilian public opinion about adherence to international law created in three different ways: through a consent-based multilateral treaty, by the U.N. Security Council with the participation of Brazil, and by the U.N. Security Council without the participation of Brazil. Information that Brazil has participated in creating the international legal obligation through a multilateral treaty or membership on the Security Council yields levels of support for adherence to the legal obligation that are similar to those found when the origins of the legal obligation are generic. Information that the international legal obligation was created without Brazil’s participation, on the other hand, results in reduced support for compliance. This difference, which is particularly concentrated among highly educated respondents, is not driven by reduced concerns about reputational consequences or sanctions. Our results suggest that the increased use of non-consent-based forms of international law might be challenged by a lack of public support for compliance.     

Forensic Use of A Subtropical Blowfly: The First Case Indicating Minimum Postmortem Interval (mPMI) in Southern Brazil and First Record of Sarconesia Chlorogaster from a Human Corpse

Southern Brazil is unique due to its subtropical climate. Here, we report on the first forensic entomology case and the first record of Sarconesia chlorogaster (Wiedemann) in a human corpse in this region. Flies' samples were collected from a body indoors at 20°C. Four species were found, but only Chrysomya albiceps (Wiedemann) and S. chlorogaster were used to estimate the minimum postmortem interval (mPMI). The mPMI was calculated using accumulated degree hour (ADH) and developmental time. The S. chlorogaster puparium collected was light in color, so we used an experiment to establish a more accurate estimate for time since initiation of pupation where we found full tanning after 3 h. Development of C. albiceps at 20°C to the end of the third instar is 7.4 days. The mPMI based on S. chlorogaster (developmental time until the third instar with no more than 3 h of pupae development) was 7.6 days.     

Multivariate Classification of Original and Fake Perfumes by Ion Analysis and Ethanol Content

The increased marketing of fake perfumes has encouraged us to investigate how to identify such products by their chemical characteristics and multivariate analysis. The aim of this study was to present an alternative approach to distinguish original from fake perfumes by means of the investigation of sodium, potassium, chloride ions, and ethanol contents by chemometric tools. For this, 50 perfumes were used (25 original and 25 counterfeit) for the analysis of ions (ion chromatography) and ethanol (gas chromatography). The results demonstrated that the fake perfume had low levels of ethanol and high levels of chloride compared to the original product. The data were treated by chemometric tools such as principal component analysis and linear discriminant analysis. This study proved that the analysis of ethanol is an effective method of distinguishing original from the fake products, and it may potentially be used to assist legal authorities in such cases.     

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.