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.     

Parental Abuse Towards Their Children with ADHD in Iran

This study assesses whether or not the three different forms of child abuse, parental “Nonviolence discipline”, “psychological abuse” and “physical abuse”, are associated with ADHD symptoms. The parents of a clinical sample of 108 ADHD children and 102 mothers of school children reported their behaviors using Parent–child Conflict Tactics Scales (CTSPC). The age range of children was from 6 to 15 years old. The mean scores of all the three types of abuse in the ADHD group were statistically higher than those in the comparison group. Inattentiveness and hyperactivity/impulsivity scores are not associated with the scores of abuse in ADHD children. Parental abuse occurs in a cluster of different types of abuse. Mental health professionals can be involved for all the three types of prevention of parental abuse.     

Restorative Justice,Policing and Insurgency: Learning from Pakistan

Pakistan state law and Taliban rule of Sharia law are at different ends of a politico‐legal spectrum. They share advocacy of one system of law and attraction to eradication of alternatives. Muslahathi Committees in Pakistan are used to explore legal pluralism, hybrid institutions that allow deliberative democracy to seek workable responses to injustice. Formal and traditional systems can show mutual respect and check each other. On the basis of purely qualitative evidence, it is argued that Muslahathi Committees are restorative justice programs that sustainably reduce revenge violence, make a contribution to preventing Pakistan from spiraling into civil war, and assist a police force with low legitimacy to become somewhat more accountable to local civil society. These contributions are limited, but could be more significant with modest investment in human rights and gender awareness training to control abuses and increase accountability. The ruthless, murderous, divisive politics of policing and restorative justice in Pakistan seems a least likely case for deliberative democracy to work. In limited ways it does.     

Fatal poisoning due to ingestion of boiled oleander leaf extract

Nerium oleander is an ornamental evergreen shrub belonging to the family Apocynaceae. The Apocynaceae family includes the attractive evergreen shrub known as oleander. The cardiotoxic glycoside, oleandrin, is present in all portions of the common oleander plant. Oleander consumption can result in deadly situations accidentally or as a suicide attempt. After consuming kettle-boiled oleander leaf extract as part of a suicide attempt, an 80-year-old man was discovered comatose in his home and taken to our emergency room. The patient's heart rate was 30 beats per minute, and he had hypotension. Arterial blood gas analysis revealed remarkable metabolic acidosis and hyperkalemia (K: 7.7 mEq/L). An electrocardiogram showed a wide QRS wave, similar to a sine curve. The patient collapsed following cardiac arrest soon after hospital arrival. Veno-arterial extracorporeal membrane oxygenation was initiated; however, the patient eventually died. The serum level of oleandrin at hospital arrival, subsequently measured by LC–MS/MS, was found to be 33.4 ng/mL, far above the levels reported in previous fatal cases.     

Comparative and development public administration 2000: introduction to the symposium

The twin fields of comparative and development administration have been major components of public administration, both theoretically and practically. Their development as fields of study has proliferated since World War II, and reached a peak during the 1960s with the Comparative Administration Group (CAG). Despite major achievements, comparative and development administration experienced a major decline in the 1970s. However, a resurgence of interest in both subfields of public administration has emerged since the 1980s, and the number of scholarly works in these areas is impressively increasing. This trend will continue with significant contributions to the knowledge in the field by the year 2000. This special symposium addresses a number of trends, developments, and issues that will contribute to, and characterize, the growth of comparative and development administration in the future. The articles that follow make significant original contributions to our knowledge in public administration at a global level. Various models and paradigms are discussed as the possible models to be tried out in the developing nations and for the comparative study of public administration.     

Exploratory spatial analysis of crimes against property in Turkey

Turkey, a rapidly developing country, is a junction point between Asia and Europe in terms of its social and economic structure. Turkey is both the most advanced economy in the Turkish-speaking world and the largest economy in the Muslim world. In the last few years, with the development of Turkey’s economic and social structure, the level of criminality in the country has attracted attention. Consequently, we aimed to explore potential spatial associations of crimes against property rates across the 81 provinces of Turkey (NUTS3) from 1997 to 2009. Geographical information systems and explorative methods of spatial data analysis were employed in the analyses of crime rates. Since crime is a phenomenon that arises from the interaction between social, economic, psychological circumstances and, especially, geographical factors, this study attempts to rectify the possible deficiencies of traditional statistical analyses of geography. Because of the very different population sizes in each province, comparing the volume of crimes makes a major impact on the stability of the crime rates; therefore in this study an empirical Bayes smoothing method was used to interpret the crime rates correctly. Global spatial autocorrelation indices were used to test the spatial dependence of the distribution of the crime rates. Besides the excess risk rates, local spatial autocorrelation methods were used to detect and interpret the clustering of crime rates. In order to model the crime rates, a set of socioeconomic parameters (migration rates by province, gross national product according to purchasing power parity by province, registered number of touristic facilities and number of rooms by province, electricity consumption statistics, provincial unemployment rates and urbanisation index values were handled with geographically weighted regression. According to the results, criminal activities were non-random in terms of time and space. Property crime, except for smuggling, is densely clustered in the west and south-west of Turkey. The present study demonstrates the utility of spatial analysis and geographically weighted regression to detect some important geographical dimensions and crucial geographical aspects of property crimes in Turkey.     

Forensic Investigation of Cooperative Storage Cloud Service: Symform as a Case Study

Researchers envisioned Storage as a Service (StaaS) as an effective solution to the distributed management of digital data. Cooperative storage cloud forensic is relatively new and is an under‐explored area of research. Using Symform as a case study, we seek to determine the data remnants from the use of cooperative cloud storage services. In particular, we consider both mobile devices and personal computers running various popular operating systems, namely Windows 8.1, Mac OS X Mavericks 10.9.5, Ubuntu 14.04.1 LTS, iOS 7.1.2, and Android KitKat 4.4.4. Potential artefacts recovered during the research include data relating to the installation and uninstallation of the cloud applications, log‐in to and log‐out from Symform account using the client application, file synchronization as well as their time stamp information. This research contributes to an in‐depth understanding of the types of terrestrial artifacts that are likely to remain after the use of cooperative storage cloud on client devices.     

Facial Age Synthesis Using Sparse Partial Least Squares (The Case of Ben Needham)

Automatic facial age progression (AFAP) has been an active area of research in recent years. This is due to its numerous applications which include searching for missing. This study presents a new method of AFAP. Here, we use an active appearance model (AAM) to extract facial features from available images. An aging function is then modelled using sparse partial least squares regression (sPLS). Thereafter, the aging function is used to render new faces at different ages. To test the accuracy of our algorithm, extensive evaluation is conducted using a database of 500 face images with known ages. Furthermore, the algorithm is used to progress Ben Needham's facial image that was taken when he was 21 months old to the ages of 6, 14, and 22 years. The algorithm presented in this study could potentially be used to enhance the search for missing people worldwide.     

Developing a scale to measure the presence of possible prejudicial stereotyping in police interviews with suspects: The Minhas Investigative Interviewing Prejudicial Stereotyping Scale (MIIPSS)

If police interviewers’ hold negative feelings towards certain groups, this may affect how they interview them (either as victims, witnesses or suspects) in that they may not obtain reliable accounts, being the aim of such interviews. The Minhas Investigative Interviewing Prejudicial Stereotyping Scale (MIIPSS) has been developed to assess the level of any investigative interviewers’ prejudicial stereotyping towards suspects. The current exploratory study involved semi-structured interviews with twenty people, who had previously been interviewed as suspects in England and also eight very experienced lawyers. Both their views were measured using the MIIPSS before being subjected to a Guttman analysis. Statistical analyses showed that MIIPSS satisfies the criteria for classification as a valid unidimensional and cumulative scale. Therefore, researchers could use MIIPSS as a tool to measure prejudicial stereotyping in investigative interviews. Interviewers could also use MIIPSS to monitor their own attitudes towards certain groups or individuals suspected of different types of crimes.