Confirmation by LC–MS of drugs in oral fluid obtained from roadside testing

The aim of this study was to assess the effectiveness of two current on-site oral fluid (OF) drug detection devices (OraLab and Dräger), as part of the Spanish participation in the Roadside Testing Assessment Project (ROSITA Project). The study was done in collaboration with the Spanish Traffic Police, in Galicia (NW Spain), during 2004 and 2005. A total of 468 drivers selected at the police controls agreed to participate through informed consent. In addition, saliva samples were collected and sent to the laboratory to confirm the on-site results. For this purpose, two different analytical liquid chromatography–mass spectrometry (LC–MS) methods were used to detect 11 drugs or metabolites in a 300 μL sample. Simultaneous analysis of morphine, 6-acetylmorphine, amphetamine, methamphetamine, MDA, MDMA, MDEA, MBDB, cocaine and benzoylecgonine was carried out using 100 μL of oral fluid, after an automated solid phase extraction. A different LC–MS method was performed to detect Δ⁹-THC in 200 μL of oral fluid using liquid–liquid extraction with hexane at pH 6. Both methods were fully validated, including linearity (1–250 ng/mL, 2–250 ng/mL) recovery (>50%), within-day and between-day precision (CV < 15%), accuracy (mean relative error < 15%), limit of detection (0.5 and 1 ng/mL), quantitation (1 and 2 ng/mL) and matrix effect. All of the positive cases and a random selection of 30% of the negatives were analyzed for confirmation analysis. Good results (sensitivity, specificity, accuracy, positive predictive value and negative predictive value > 90%) were obtained for cocaine and opiates by OraLab, and for cocaine by Dräger. However, the results for the other compounds could be improved for both detection devices. Differences in the ease of use and in the interpretation mode (visual or instrumental) were observed.     

The Impact of Affirmative Action on the Employment of Minorities and Women: A Longitudinal Analysis Using Three Decades of EEO‐1 Filings

What role has affirmative action played in the growth of minority and female employment in U.S. firms? This paper presents a longitudinal analysis of this question by exploiting rich variation across firms in the timing of federal contracting to identify affirmative action effects over the course of three decades spanning 1973 to 2003. It constitutes the first study to comprehensively document the long‐term and dynamic effects of affirmative action in federal contracting on employment composition within firms in the United States. I use a new panel of over 100,000 large private‐sector firms from the U.S. Equal Employment Opportunity Commission, including both firms that obtain federal contracts and are therefore mandated to implement affirmative action and firms that are noncontractors, across all industries and regions. The paper's key results indicate that the primary beneficiaries of affirmative action in federal contracting over 1973 to 2003 were black and Native American women and men. Dynamic event study analysis of workforce composition around the time of contracting reveals that a large part of the effect of affirmative action on increasing protected group shares occurred within the first four years of gaining a contract, and that these increased shares persisted even after a firm was no longer a federal contractor. The paper also uncovers important results on how the impact of affirmative action evolved over 1973 to 2003, in particular that the fastest growth in the employment shares of minorities and women at federal contractors relative to noncontracting firms occurred during the 1970s and early 1980s, decelerating substantially in ensuing years.     

Cyber-Stalking Victimization: What Predicts Fear Among Portuguese Adolescents?

A large body of research clearly demonstrates that adolescents use technology to a staggering degree and that they are one of the main groups that are vulnerable to online victimization. However, the study of cyber-stalking, which is a form of cyber-harassment victimization, has been limited to the adult population and has resulted in some controversy regarding whether fear is a definitional criterion for this phenomenon. In Portugal, the study of cyber-stalking among adolescents is limited, as it is not yet a target of scientific research, public politics or social attention. The current study assessed the cyber-stalking victimization of 627 Portuguese adolescents (12- to 16-years-old). The prevalence of victimization, the cyber-victim’s profile, cyber-stalking dynamics, the cyber-stalker’s profile, parental cyber-involvement and adolescents fear reporting were analysed. The majority of the current sample admitted to having been the victim of cyber-stalking at some point in their life, and nearly half of the adolescents reported experiencing fear after the victimization. A logistic regression model was developed to predict fear reporting. Consistent with previous research, the results indicated that fear is strongly associated with female victims and shed light on the self-perception of online risk and a number of parental involvement practices. Being the target of 1) messages of exaggerated affection, 2) persistent cyber-stalking or 3) older cyber-stalkers was also associated with fear. These results underscore the importance of understanding fear as a complex emotion that results from the interaction of different variables. Thus, it is critical to adopt fear as a key criterion of the cyber-stalking definition. Implications for social, educational, political and judicial practices are also discussed.     

A Novel Forensic Tool for the Characterization and Comparison of Printing Ink Evidence: Development and Evaluation of a Searchable Database Using Data Fusion of Spectrochemical Methods

A searchable printing ink database was designed and validated as a tool to improve the chemical information gathered from the analysis of ink evidence. The database contains 319 samples from printing sources that represent some of the global diversity in toner, inkjet, offset, and intaglio inks. Five analytical methods were used to generate data to populate the searchable database including FTIR, SEM‐EDS, LA‐ICP‐MS, DART‐MS, and Py‐GC‐MS. The search algorithm based on partial least‐squares discriminant analysis generates a similarity “score” used for the association between similar samples. The performance of a particular analytical method to associate similar inks was found to be dependent on the ink type with LA‐ICP‐MS performing best, followed by SEM‐EDS and DART‐MS methods, while FTIR and Py‐GC‐MS were less useful in association but were still useful for classification purposes. Data fusion of data collected from two complementary methods (i.e., LA‐ICP‐MS and DART‐MS) improves the classification and association of similar inks.     

Identifying background microbiomes in an evidence recovery laboratory: A preliminary study

16S rRNA profiling of bacterial communities may have forensic utility in the identification or association of individuals involved with criminal activities. Microbial profiling of evidence may, in the future, be performed within environments currently utilised for human DNA recovery, such as a forensic biology laboratory. It would be important to establish the background microbiome of such an environment to determine the potential presence of human or environmental microbial signatures to assist forensic scientists in the appropriate interpretation of target microbial communities. This study sampled various surfaces of an Evidence Recovery Laboratory (ERL) on three occasions including (a) before a monthly deep-clean, (b) immediately following the deep-clean, and (c) immediately after the laboratory’s use by a single participant for the purposes of routine item examinations. Microbial profiles were also generated for the involved participant and researcher for comparison purposes. Additionally, human nuclear DNA was profiled for each of the samples collected, using standard forensic profiling techniques, to provide a prospective link to the presence or absence of a background microbial signature within the ERL after its use. Taxonomic distributions across ERL samples revealed no consistent signature of any of the items sampled over time, however, major phyla noted within all ERL samples across the three timepoints were consistent with those found in human skin microbiomes. PCoA plots based on the Unweighted Unifrac metric revealed some clustering between participant microbial reference samples and surfaces of the ERL after use, suggesting that despite a lack of direct contact, and adherence to standard operating procedures (SOPs) suitable for human DNA recovery, microbiomes may be deposited into a forensic setting over time. The reference samples collected from the involved participant and researcher generated full STR profiles. Human DNA was observed to varying degrees in samples taken from the ERL across each of the sampling timepoints. There was no correlation observed between samples that contained or did not contain detectable quantities of human nuclear DNA and microbial profile outputs.     

Forensic databases,a perspective from the penitentiary centers of Spain

Scientific and technological progress in the field of forensic genetics is very useful in the resolution of criminal cases, but it entails the need for a deep ethical reflection, as the individual Fundamental Rights may be violated.This project aims to collect and compare the opinion of prisoners and prison officials on what characteristics the country's forensic database should have. In this context, 210 subjects were surveyed, 101 of them prisoners and the rest prison officials, from three different Spanish penitentiary centers.Among the results obtained, most prisoners and officials consider the national DNA database to be useful, and additionally, a 40% of the participants would support the integration of the profiles of the entire population. 64% considered it ethical to use the DNA profiles of the database as a tool for familial searching. Despite this, half of the respondents are concerned about the future uses of the DNA database.Integrating the opinion of these analyzed groups with other relevant judicial, scientific and ethical convictions, ensures the regulation between security and individual’s Human Rights.     

Responsible research and innovation training programmes: implementation and evaluation of the HEIRRI project

Responsible research and innovation, or RRI, is a concept that aims to bring together society and science for a better future. There are six key elements of RRI: public engagement, gender equality, science education, open access, ethics and governance. Higher Education Institutions and Responsible Research and Innovation (HEIRRI) project aimed to bring the concept of RRI into the educational system. Using state-of-the-art review of good practices, HEIRRI team developed 10 training programmes on RRI for different higher education institution educational levels, including a summer school and a massive open online course (MOOC). We conducted pilot of the trainings and evaluated participants' experiences. Satisfaction with HEIRRI training programmes on responsible research and innovation was high, both for participants and for the trainers, and trainings raised awareness of RRI. Participants' feedback was used to identify areas that need improvement and provided for recommendations for final versions of the HEIRRI training programmes. In order to equip researchers with skills to recognize and apply RRI values, RRI should be included in their education. HEIRRI training is suitable for a range of different disciplines, including forensic science, and is free to use and adjust for specific contexts (available from: https://rri-tools.eu/heirri-training-programmes).     

Institutions,Civilian Resistance,and Wartime Social Order: A Process‐driven Natural Experiment in the Colombian Civil War

Why do armed groups fighting in civil wars establish different institutions in territories where they operate? This article tests the mechanisms of a theory that posits that different forms of wartime social order are the outcome of a process in which an aspiring ruler—an armed group—expands the scope of its rule as much as possible unless civilians push back. Instead of being always at the mercy of armed actors, civilians arguably have bargaining power if they can credibly threaten combatants with collective resistance. Such resistance, in turn, is a function of the quality of preexisting local institutions. Using a process‐driven natural experiment in three villages in Central Colombia, this article traces the effects of institutional quality on wartime social order.     

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.