Crime generates significant losses, both human and economic. Every year, billions of dollars are lost due to attacks, crimes, and scams. Surveillance video camera networks generate vast amounts of data, and the surveillance staff cannot process all the information in real-time. Human sight has critical limitations. Among those limitations, visual focus is one of the most critical when dealing with surveillance. For example, in a surveillance room, a crime can occur in a different screen segment or on a distinct monitor, and the surveillance staff may overlook it. Our proposal focuses on shoplifting crimes by analyzing situations that an average person will consider as typical conditions, but may eventually lead to a crime. While other approaches identify the crime itself, we instead model suspicious behavior—the one that may occur before the build-up phase of a crime—by detecting precise segments of a video with a high probability of containing a shoplifting crime. By doing so, we provide the staff with more opportunities to act and prevent crime. We implemented a 3DCNN model as a video feature extractor and tested its performance on a dataset composed of daily action and shoplifting samples. The results are encouraging as the model correctly classifies suspicious behavior in most of the scenarios where it was tested. For example, when classifying suspicious behavior, the best model generated in this work obtains precision and recall values of 0.8571 and 1 in one of the test scenarios, respectively.

Artículo de investigaciónLa violencia en las relaciones de pareja de jóvenes: prevalencia, victimización, perpetración y bidireccionalidad Violence in the relationships of young couples: Prevalence, victimization, perpetration and bidirectionality A violência nas relações de casais jovens: prevalência, vitimização, perpetração e bidirecionalidade

The phenomenon of homicide followed by suicide (HS) has a low prevalence worldwide, although the literature has identified that these cases represent a significant percentage in homicide subtypes such as intimate partner homicide or filicide. In the present study, HS ( n = 41) and homicides in which the perpetrator did not commit suicide after the event ( n = 556) are compared. The information was extracted from police reports of homicides committed in Spain between 2010 and 2012 and belonging to the jurisdictions of the National Police and Civil Guard. The results showed that out of the total number of homicides analyzed, HS accounted for 4.9%, which implies a rate of 0.05 per 100,000 inhabitants. The findings of the study show that the profile of a HS victim of a 52-year-old Spanish woman. The perpetrator is of Spanish origin, 50 years old, unemployed, or retired, with a mental disorder, and with substance use being uncommon at the time of the event. HS events take place at the perpetrator’s home, are related to interpersonal conflicts, involve a single perpetrator, several victims, and are mainly committed with a firearm. The findings are mostly consistent with previous studies and the prevalence of HS in the couple setting is highlighted (56.5%). However, the importance of studying cases outside of this setting is emphasized since it has been found that 30.5% of cases involve other family relationships and 13% occurred outside the domestic sphere.

High scores in psychopathy were associated with acts of violence, and the prevalence of this condition is greater among the prison population than among the general population.In terms of its relation to femicide, two studies, one carried out in Sweden and another in Spain with a prison population, found that psychopathy is an uncommon condition among perpetrators of femicide. This study analyzes 97 cases of femicide in the whole of Spain, in which it was possible to evaluate the degree of psychopathy of the perpetrators using the Psychopathy Checklist-Revised (PCL-R). The scores are analyzed not only directly, but also in terms of Factors and Facets. The results show an average in the total score of the PCL-R of 14.4, with only 13 subjects (13.4%) presenting scores of 25 or more, and just 3 (3.1%) of these presenting scores of 30 or higher. It was found that, in general, high scores in psychopathy are associated with shorter relationships and less time between the first complaint, the breakup, and the femicide. What is more, characteristics of the victims, such as addiction to toxic substances or economic dependency, also demonstrated a relationship to the scores of the perpetrators of femicide in the PCL-R. Lastly, it was found that the scores in the different dimensions of psychopathy are associated with different types of violence, whereby there was a noteworthy difference between the most explicit violence and control exercised over the partner. K E Y W O R D Sfemicide, intimate partner violence, psychopathy, psychopathy checklist-revised Highlights• Psychopathy is a rare condition among perpetrators of femicides in Spain.• 13 subjects (13.4%) presented scores of 25 or more and just 3 (3.1%) of these presenting scores of 30 or higher.• High scores in psychopathy correlate with shorter romantic relationships.• Femicides with high scores in Factor 1 develop a pattern of physical violence to resolve conflicts.• In femicides with high scores in Factor 2, psychological control may be more reactive than instrumental.

<span lang="EN-US">This study explored the cognitive algebra mechanism underlying mathematical motivation in 672 engineering students. The experimental design included the combination of four factors (task modality versus task difficulty versus task structure versus task relevance) to compose 36 written experimental scenarios. Each one described a hypothetical situation about assigned activities in math class. The participant's task was to read each scenario and estimate how much motivation they would experience if performing the assigned math activity. The results indicated five cognitive motivational patterns among the participants. All the clusters considered the task's relevance as an essential factor in judging their mathematical motivation. Besides this, Clusters 1, 2, 3, and 5 considered the assigned task's difficulty and structure in judging their degree of motivation, but they evaluated the factors differently. The low math motivation cluster integrated the factors according to a summative cognitive rule. Clusters 2, 3, and 5 used a multiplicative rule to integrate the information, and Cluster 4 did not show an information integration systematic mechanism. These findings pointed to the diversity of motivational cognitive profiles among students. This type of cognitive characterization can help design programs that encourage students to learn and enjoy science subjects that will impact their professional development and daily life.</span>