Determination of vehicle speed from recorded video using the open-source software Kinovea

Video devices of different kind often record traffic accidents, including vehicle-pedestrian collisions and hit-and-run accidents. In these cases, the vehicle speed is valuable information because it can assist the investigators in an accident reconstruction. This paper examines the use of Kinovea, an open-source video annotation tool designed for sport analysis, to estimate vehicle speed in forensic videos. Kinovea does not require a complex methodology, and it can be used to make the calculation easily. A series of vehicle driving experiments using an appropriately calibrated speed radar system (so called Scout Speed) were carried out, and measurements were compared with the estimated speed. In controlled conditions, the comparison of Scout reference speed and calculated average vehicle speed by means of Kinovea found an average difference of 0.43 km/h, with a margin of error of ±0.64 km/h. In addition, further preliminary tests were carried out to check the reliability of the measurements under lower resolution conditions. Also, in these cases the calculations were in line with the ground truth. Therefore, in the tested conditions, Kinovea demonstrated to be an easy and reliable tool available for forensic video examiners. Further tests need to be conducted in order to address the applicability of the measurement technique with true CCTV/surveillance video recordings.     

Development and validation of a LC–MS/MS method for analysis of vortioxetine in postmortem specimens. First data from an authentic case

Vortioxetine is an antidepressant recently licensed in USA and EU for the treatment of major depressive disorder. Neither fatal case due to overdose nor data about postmortem concentrations on blood or other specimens have been reported. The aims of this study were the development and validation of a method for vortioxetine analysis by Liquid Chromatography Tandem Mass Spectrometry (LC–MS/MS) in postmortem samples and its application in an authentic case. The method was validated and applied on blood, vitreous humor, bile, brain, liver, kidney, and gastric content. After protein precipitation, the supernatant was directly injected into LC–MS/MS. Analysis was carried out by Multiple Reaction Monitoring (MRM) mode. The authentic case concerned a 38 years-old woman, affected by depression, who was found hanged at home. The method determined an acceptable sensitivity, selectivity, linearity, precision, and accuracy for all matrices. No interference was shown for all matrices. The matrices do not significantly reduce the peak intensity of vortioxetine. No carryover was shown. Toxicological analysis of the authentic case showed vortioxetine in blood (234 ng/ml), vitreous humor (10.5 ng/ml), brain (490 ng/g), lung (479 ng/g), liver (3751 ng/g), kidney (798 ng/g), bile (2267 ng/ml) and gastric content (253 ng/ml). Our case suggests that even at blood concentrations of vortioxetine equal to 234 ng/ml, the subject was able to stage and carry out the hanging. Vortioxetine concentrations found in the other cadaveric samples (biological fluids, organs, and gastric content) may be helpful to evaluate further similar comparable cases.     

Death by compaction in a robotic dumpster

Robotic waste management automation systems are increasingly utilized around the globe as a user-friendly, ecological and hygienic alternative to waste disposal, simultaneously reducing the volume and frequency of waste collection. The present paper aims to report a case of death by compaction in an automated robotic waste management system and review relevant literature on compactor-related fatalities. The unusual fatal accident involved a 37-year-old male citizen who deliberately entered the robotic dumpster to retrieve his accidentally discarded medication. Upon entering the robotic chamber, the compaction system was automatically activated, although all safety measures were in full operation. This paper highlights the lack of standardized reporting on compactor-related mortality, which however is of importance both in terms of its social impact and public safety. These deaths occur rarely, in scattered areas of the globe, associated with various situations (e.g., occupational fatalities, homeless people, infanticide) and trash compactors of different types, technology, age, maintenance quality, warning signage and safety interlocks. In all previously reported fatalities, the technology involved was considerably older (as in conventional waste containers, garbage compaction trucks, chute-fed compactors in buildings, etc.). The case described in the present report is a rare event in both literature and international news coverage as it encompasses a fully automated technology intended for unsupervised, direct use by the public being located in public spaces where all citizens can interact with it. The aim of this report is to raise awareness and improve knowledge about safety parameters so that similar incidents can be avoided in the future.     

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.     

Assessment of post-mortem submersion interval using total aquatic decomposition scores of drowned human cadavers

Investigating drowning-related deaths remains a significant problem for forensic personnel all over the world. The previously published decomposition scoring method like the total aquatic decomposition (TAD) score promises to estimate the correct post-mortem submersion interval (PMSI) in aquatic habitats through the assessment and calculation of the decomposition rate and accumulated degree days (ADD). The current study comprised of 53 drowned death cases belonging to various districts of Haryana from May 2016 to August 2017. The regression and Pearson's correlation indicated a significant correlation between the TAD scores and the actual ADD (calculated through water temperatures) (r² = 0.917) and between the actual and the estimated ADDs (calculated through TAD scores used by Heaton et al. [21]) (r = 0.9585). The results indicated that the estimated ADD tends to over predict the PMSI compared to the actual ADD. It is further confirmed by paired t-test, which showed the mean of actual ADD (mean = 349) to be significantly lower than the mean of estimated ADD (mean = 663). Moreover, these methods will help forensic investigators and researchers formulate region-specific regression equations for PMSI estimation.     

An innovative method for human height estimation combining video images and 3D laser scanning

Digitalization has increased the number of video surveillance systems that sometimes capture crime images. Traditional methods of human height estimation use projective geometry. However, sometimes they cannot be used because the video camera surveillance system is not available or has been moved and there are no reference lines on the frame. Scientific studies have developed a new method for human height estimation using 3D laser scanning. This model necessarily requires a series of approximations, which increase the final measurement error. To overcome this problem, in the present study, images of a subject are projected directly on the 3D model, estimating the height of the subject. This article describes the methodological approach adopted through the analysis of a real case study in a controlled environment executed by Carabinieri Forensic Investigation Department (Italy). The aim is to obtain a human anthropometric measure derived from frames extracted from the videos associated with the digital survey of the framed area obtained with 3D laser scanning and point cloud analysis. The result is the height estimation of five subjects filmed by a camera obtained through the combination of 2D images extracted by a DVR/surveillance systems with 3D laser scanning. Results show that most estimated measurements are less than the real measurement of the subject; it also depends on the posture of the subject while walking. Furthermore, results shows the differences between the real height and the estimated height with a statistical approach.     

When Terrorism Hits Home: Domestic Newspaper Coverage of the 1998 and 2002 Terror Attacks in Kenya

Analyzing newspaper coverage of the 1998 Nairobi and 2002 Mombasa terrorist attacks by the Nairobi Daily Nation and East African Standard finds that generalizations from Western sources, such as newsworthiness criteria and coverage of government officials and terrorists, appear similar in Kenyan media, although interpretation of the attacks were colored by a “developing world” perspective in some respects. Terrorists also ironically are more prominent in subsequent attacks, although perhaps only when they fail to inflict heavy damage and casualties. The second attack also brought far more criticism on the Kenyan government, which may have implications for similar events in other countries.

Adhabu ya kaburi aijau maiti (The corpse knows the torment of the grave).

—Swahili proverb     

Velvet Disillusionment: Czech Performing Arts and Twenty-Five Years of Transition, 1989–2014

ABSTRACT

The performing arts sector of the Czech Republic faces significant challenges twenty-five years after the Velvet Revolution, which ushered in swift and dramatic political, social, and economic change. Early policy decisions, subsequent privatization efforts, and neglect, compounded by the country's foray into the muddy waters of the free market, have left artists and administrators seeking solutions and searching for solvency. Empirical research, primarily in the form of surveys, site visits, and interviews with prominent Czech artists and administrators, significantly informs this article, which explores the state of Czech performing arts twenty-five years after the fall of Communism.     

Beating the Clock: Strategic Management under the Threat of Direct Democracy

This article explores public sector responsiveness to voter‐led initiatives, specifically, the degree to which public managers attempt to lock in resources before they are constrained by a particular initiative. The authors posit that such behavior, which they term “beating the clock,” is a function of the potential impact of the proposed initiative, the degree to which managers can react to the initiative's central issues, and the perceived likelihood of passage. Although scholars have explored different responses to voter‐led initiatives, this particular form of strategic behavior has yet to be studied. Using longitudinal data on public debt issuance, hypotheses are tested in the context of a reform proposed through the initiative process in Colorado in 2010. Results show that the number of debt issues increased by roughly 150 percent in advance of a potentially binding election, indicating the ability to preempt formal initiative efforts in certain policy areas.     

Written Versus Unwritten Rules: The Role of Rule Formalization in Green Tape

ABSTRACT

Contemporary conceptions of written organizational rules evoke images of inefficiency, constraint, and rigidity. While formal rules can generate negative outcomes, this article argues that their written nature is not the culprit. Rather, theory suggests that the formalization process increases a rule's likelihood of becoming effective “green tape.” From a rule design perspective, rule formalization is expected to trigger more organizational learning and greater scrutiny than unwritten rules, which undergo no such process. From a compliance perspective, written rules are expected to focus organizational attention and convey legitimacy better than unwritten rules, thereby increasing the likelihood of compliance. Combining these expectations, the article hypothesizes that written rules will exhibit more logical designs, higher compliance, and ultimately greater effectiveness than unwritten rules. Statistical modeling of two data sources supports these expectations and suggests the need to rethink reflexively negative attitudes toward written organizational rules.