Factors That Contribute To Success In Policing Based On Prior Military Experience

This research attempted to determine whether current law enforcement officers with military experience felt that they were more prepared for their jobs in the agency than officers without military experience. Law enforcement officers from two police departments were selected to take a survey based on their military backgrounds. This survey was completed and the results were reviewed. It was concluded that law enforcement officers with military experience felt that they were more prepared for the job and had an edge over other officers with no background in the military. In addition, officers with combat experience also felt that they had an edge over other officers and viewed their jobs as life vs. death as a result of these experiences

Microstructural Correlates of Resilience against Major Depressive Disorder: Epigenetic Mechanisms?

Mental disorders are a major cause of long-term disability and are a direct cause of mortality, with approximately 800.000 individuals dying from suicide every year worldwide - a high proportion of them related to major depressive disorder (MDD)^1^. Healthy relatives of patients with major depressive disorder (MDD) are at risk to develop the disease. This higher vulnerability is associated with structural^2-4^ and functional brain changes^5^. However, we found using high angular resolution diffusion imaging (HARDI) with 61 diffusion directions that neuron tracts between frontal cortices and limbic as well as temporal and parietal brain regions are characterized by better diffusion coefficients in unaffected relatives (UHR), who managed to stay healthy, compared to healthy volunteers without any family history for a psychiatric disease (HC). Moreover, those UHR with stronger fibre connections better managed incidences of adversity in early life without later developing depression, while in HC axonal connections were found to be decreased when they had early-life adversity. Altogether these findings indicate the presence of stronger neural fibre connections in UHR, which seem to be associated with resilience against environmental stressors, which we suggest occur through epigenetic mechanisms

(Crime) School is in Session: Mapping Illegal Earnings to Institutional Placement

A growing consensus suggests that incarcerating offenders tends to have either null or criminogenic effects at both the individual and neighborhood levels. There is also further evidence that there are unintended consequences of incarcerating juvenile offenders such as delayed psychosocial development and school dropout. The current study considers a much less examined hypothesis — that correctional environments can facilitate the accumulation of “criminal capital” and might actually encourage offending by serving as a school of crime. Using unique panel data from a sample of serious juvenile offenders, we are able to identify the criminal capital effect by considering illegal earnings and information regarding institutional stays over a seven year period. We have two separate measures that tap into the different mechanisms by which offenders can acquire criminal capital within institutions: the prevalence of friends in the facility who have committed income generating crimes and the length of institutional stays as a cumulative dosage. We find that both facility measures have independent positive effects on an individual’s daily illegal wage rate, even after controlling for important time varying covariates. Theoretical and policy implications are discussed

Visual Odometry using Convolutional Neural Networks

Visual odometry is the process of tracking an agent\u27s motion over time using a visual sensor. The visual odometry problem has only been recently solved using traditional, non-machine learning techniques. Despite the success of neural networks at many related problems such as object recognition, feature detection, and optical flow, visual odometry still has not been solved with a deep learning technique. This paper attempts to implement several Convolutional Neural Networks to solve the visual odometry problem and compare slight variations in data preprocessing. The work presented is a step toward reaching a legitimate neural network solution

A Good Man Always Knows His Limitations : Overconfidence in Criminal Offending

Traditional criminological research in the area of rational choice and crime decisions places a strong emphasis on offenders’ perceptions of risk associated with various crimes. Yet, this literature has thus far generally neglected the role of individual overconfidence in both the formation of subjective risk perceptions and the association between risk and crime. In other types of high risk behaviors which serve as analogs to crime, including stock trading and uncertain business and investment decisions, overconfidence is shown to have a stimulating effect on an individuals’ willingness to engage in these behaviors. Using data from two separate samples, this paper explores the prevalence of overconfidence in offending risk perceptions for a variety of crime types, and, in one sample serious offending juveniles, attempts to link overconfidence to a higher likelihood of offending. Our results show that overconfidence is both highly prevalent in risk perceptions across samples, and it is highly associated with higher rates of offending, even when controlling for risk. We also outline several theoretical issues for future research on this topic, including its relationship to self-serving bias and Bayesian updating

Deterring Serious and Chronic Offenders

This chapter examines ways of deterring serious and chronic offenders based on evidence from the Pathways to Desistance Study, which addresses the issue of perceptions of deterrence and looks into the mechanisms of deterrence for serious offenders. After a brief overview of the Pathways study, the chapter reviews empirical evidence that demonstrates the rationality of high-risk adolescents regarding involvement in crime. It argues that offenders take into account rational-choice perceptions in their offending decisions and goes on to discuss the elasticity and malleability of these perceptions, and whether adolescent offenders act differently when they change risk and cost perceptions. It also considers policy efforts aimed at maximizing deterrence among adolescent offenders and concludes by outlining future directions for theory and research

Device Closure of Secundum Atrial Septal Defects in Children <15 kg Complication Rates and Indications for Referral

ObjectivesThis study sought to determine institutional complication rates in a previously underreported patient population and discuss referral indications.BackgroundThere has been a trend over the years for referral of younger and smaller patients for “elective” closure of atrial septal defects (ASD). In general, the risks associated with ASD device closure are believed and reported to be relatively low. Complication rates in this group of smaller patients are not well described in the literature for either percutaneous or surgical approaches.MethodsRetrospective review of all patients who underwent elective transcatheter closure of secundum ASD between March 2000 and April 2010. We excluded all children >15 kg, as well as those with complex congenital heart defects. Major and minor complications were predefined and indications for referral were evaluated.ResultsWe identified 128 patients meeting criteria with a median procedural age of 1.92 years (3 months to 4.92 years), and median weight of 10.8 kg (4.3 to 14.9 kb). There were 7 major (5.5%) and 12 minor (9.4%) complications. Nearly two-thirds of referrals were for right heart enlargement or poor growth. Rate of resolution of residual shunt was 99%. When compared with age, there was no difference in the rate of resolution of right heart enlargement. No clinically significant improvement in growth was observed.ConclusionsTranscatheter ASD closure in small children is highly successful, but with an increase in previously perceived complication rates. In small, asymptomatic patients, deferral of closure until the historically established timeline of around 4 to 5 years of age should be strongly considered

COVID-19 Academic Integrity Violations and Trends: A Rapid Review

The rapid shift from classroom course delivery to online education modalities during the COVID-19 pandemic has had significant impacts on academia. Student loss of face-to-face interaction, the lost social benefits of the educational milieu, and restricted instructor ability to control both the learning environment and assessment process have been significant. The purpose of this paper is to discover if due to the unplanned shift to online course delivery, educators and researchers experienced impacts to academic integrity during the peak of the online shift. A systemic review utilizing the PRISMA methodology of peer reviewed literature published during the period of March 2020 till September 2021 demonstrated that violation types continued to fall within the existing academic integrity constructs of inappropriate information sharing, cheating on exams and assignments, incidents of plagiarism, and falsifying or fabricating information. The results showed that pre-COVID concerns with academic integrity were amplified with previous concerns moving to the forefront. In addition, the rapid shift opened doors for greater opportunity for violations and increased instructor concern especially within the hard sciences and courses with lab-based components. Reinforcing the importance of providing formal academic integrity student and faculty training can be a beneficial intervention to ensure students understand the ethical implications of student behavior and performance during the assessment process. Given the emerging trend pre-COVID that skyrocketed during the pandemic, ensuring academic integrity should remain a key priority for learning institutions