A comparison of registered and unregistered organ donors’ perceptions about transplant recipients

Background: We examined whether registered and unregistered donors’ perceptions about transplant recipients’ previous behavior (e.g., substance use) and responsibility for illness differed based on their deceased organ donor registration decisions. ----- ----- ----- Methods: Students and community members from Queensland, Australia were surveyed about their perceptions of transplant recipients.----- ----- ----- Results: Respondents (N = 465) were grouped based on their organ donor registration status to determine if their perceptions about transplant recipients differed. Compared to registered respondents, a higher proportion of unregistered respondents held more negative and less favorable perceptions of recipients. Multivariate analysis of variance confirmed statistically that unregistered respondents evaluated recipients more negatively than registered respondents, F(6,449) = 5.33, p <.001. Unregistered respondents were more likely to view recipients as a smoker, substance user, or alcohol dependent and as undeserving of a transplant, blameworthy, and responsible for their illness. ----- ----- ----- Conclusion: Potential donors’ perceptions of transplant recipients’ behavior and responsibility for illness differ according to their registration status. Future interventions should challenge negative perceptions about recipients’ deservingness and responsibility and promote the perspective that people from all walks of life need transplants in the aim of ultimately encouraging an increase in donor registration.

PTZ camera pose estimation by tracking a 3D target

We present a technique for estimating the 6DOF pose of a PTZ camera by tracking a single moving target in the image with known 3D position. This is useful in situations where it is not practical to measure the camera pose directly. Our application domain is estimating the pose of a PTZ camerso so that it can be used for automated GPS-based tracking and filming of UAV flight trials. We present results which show the technique is able to localize a PTZ after a short vision-tracked flight, and that the estimated pose is sufficiently accurate for the PTZ to then actively track a UAV based on GPS position data.