Raising Seoul's global competitiveness: developing key performance indicators

This paper develops a set of key performance indicators (KPIs) for Seoul city administration, inaugurated in 2006. Proper establishment and application of the KPIs into its administration would not only help in accomplishing municipal leadership's strategic initiations but also enhance Seoul's global competitiveness. At the same time, the KPIs can be a good communication tool through which the leadership and city customers can communicate with each other.     

The influence of suspect gender in domestic violence arrests

This study examines heterosexual domestic violence incidents involving male and female suspects. The sample includes 428 incident reports filed at the Columbia (South Carolina) Police Department between 1993 and 1997. Police officers appear to use different arrest determinants for women than for men. The implications of these differential law enforcement practices are discussed.     

Confessions in the Criminal Process

This article undertakes a theoretical exploration of the roles that confessions can play in the criminal process and of the importance that is placed on their voluntariness. It draws on contemporary and historical sources, as well as materials from different legal systems and traditions. Three possible perspectives on the topic are identified: the moral, the epistemic and the political. Adopting each of these perspectives in turn, I set out three distinct dimensions of confessions in the criminal process. In my account of each dimension, voluntariness is construed in the light of a particular understanding of confessions that is conceptually tied to a particular understanding of the criminal process. The conclusion remarks on the interplay of the three dimensions.     

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.     

Fatal pulmonary haemorrhage from a perforated and possibly iatrogenic thoracic aortic aneurysm

A 56-year-old man, with Noonan's syndrome, underwent surgical correction of an aortic co-arctation almost two decades before his sudden and unexpected demise. The immediate cause of death was massive pulmonary haemorrhage, which was preceded by recurrent mild haemoptysis that was attributed to pneumonia, clinically. Autopsy revealed the presence of a saccular thoracic aortic aneurysm, arising from the apparently weakened anastomosis left by the previous operation. The aneurysm had eroded into the apical segment of the left lung, where it perforated with consequent severe, acute pulmonary haemorrhage. It was observed that the anastomotic line traversed the aneurysmal wall, with the resultant formation of a true aneurysm, rather than merely a pseudo-aneurysm. It is postulated that this finding of an iatrogenic true aneurysm represents a rare, delayed complication of aortic surgery.     

A new perspective to explore the technology transfer efficiencies in US universities

Universities play a critical role in the complex technology transfer process that facilitates technology transformation from pure research activities to commercialization. The literature has recently focused on whether universities are efficient in this process. With a two-stage perspective, this study explores the required capabilities for universities to be efficient in technology transfer process. To explore the efficiencies in different stages of technology transfer, we apply a 2-stage process DEA method. The model considers 2 inputs, 2 intermediate variables, and 3 output variables from the Association of University Technology Management database. These variables represent funding resource, patenting activities, and licensing and entrepreneurships. Technology transfer in the 2-stage perspective includes the research innovation stage and the value creation stage. The results show that achieving efficiency in the 2 technology-transfer stages requires many different innovation capabilities; thus, most efficient universities only perform efficiently in one of the two stages. When mapping the relative site of universities in the reference network, we found that efficient universities in the research innovation stage are in a more centralized location than those in the value creation stage. By contrast, in the value creation stage, efficient universities can be identified as different reference groups for specific inefficient universities. The network visualization also helps to explain that universities must consider their relative advantages and capabilities to reach efficiency goals in different stages. The comparison between the large-scale group and the small-scale group also showed that a resource scale is critical for universities to accumulate different required capabilities for efficiencies in both stages.