A Comparison of Coronary Artery Stenosis Estimates Made by Forensic Pathologists and Medical Students

Previous studies suggest cardiovascular pathologists are less accurate than noncardiovascular pathologists (e.g., clinical pathologists) in estimating the degree of coronary artery stenosis. To further investigate the effect of training on accurate estimation of coronary artery stenosis, we designed a study to compare the accuracy of estimates made by forensic pathologists versus medical students. Six forensic pathologists and twelve medical students each independently examined 24 images of coronary artery cross sections and gave an estimate of the degree of stenosis. When comparing all 24 images, the forensic pathologists had a median difference between the estimated percentage of stenosis and actual percentage of stenosis of −12.380 and the medical students had a median difference of −16.50 (p-value of 0.08542). In estimating the percentage of stenosis, training in forensic pathology does not guarantee significantly improved accuracy compared with medical students. Our study showed no consistent statistically significant difference between estimates given by forensic pathologists and by medical students.     

Turf wars: Using social media network analysis to examine the suspected astroturfing campaign for the Adani Carmichael Coal mine on Twitter

This article uses social media network analysis (SMNA) to examine whether there was an astroturfing campaign on Twitter in support of the Adani Carmichael coal mine in 2017. It shows that SMNA can be used to visualize and analyze outsider lobbying activity in issue arenas and is capable of identifying networks of fake opinion. This study found that in April 2017, there was a small network of accounts that made a series of suspiciously similar pro‐Adani tweets that could be considered a form of duplicitous lobbying. However, this study concludes that these posts were likely a weak influence on public opinion in Australia and largely ineffectual as a lobbying tactic. Nevertheless, this analysis shows how communitas public interests can be subverted by covert social media campaigns used in support of corporatas goals, as well as the role digital research methods can play in protecting the integrity on public debates by exposing disingenuous actors.     

Examining Temporal Associations Between School Connectedness and Early Adolescent Adjustment

This study examined (a) the associations between school connectedness and early adolescent adjustment problems over a 1 year period and (b) the equivalence of these associations across gender. Five hundred middle school students (53.4% female), initially in the 6th and 7th grades, participated in the two-wave study. Results from two-group cross-lagged panel analyses were consistent across boys’ and girls’ data. After controlling for baseline levels of adjustment problems, school connectedness predicted lower levels of early adolescent conduct problems 1 year later. Regarding the opposite direction of associations, and even after baseline levels of school connectedness were taken into account, conduct problems predicted lower levels of subsequent school connectedness. There were no cross-lagged associations between depressive symptoms and school connectedness, although elevated levels of baseline depressive symptoms predicted higher levels of subsequent conduct problems. Findings elaborate previous research by demonstrating that early adolescents actively shape the middle school environment.

Accountability in Public Management Networks: An Analysis of Cost Monitoring in Chicago Municipal Networks

Public management networks (PMNs) continue to proliferate as governance becomes more complex, and so does the need to hold them accountable. Agency and collaboration theories provide a solid foundation, but additional constructs are necessary to adapt to this dynamic era. Building from Bovens et al. (2008), the authors offer an ecological framework of third-party accountability that incorporates a number of prominent accountability theories under the same construct. Employing a mixed-methods research design that examines eight local PMNs in the Chicago region, the study finds that an exemplar accountability mechanism—additional cost monitoring—occurs more often in situations predicted by the framework. Additionally, qualitative interviews of network participants suggest that cost structures can differ by network type, which is verified quantitatively.