AIM Propofol is a widely used anesthesia induction agent and is easily accessible in most healthcare facilities. Unlike regulated or schedule drugs, propofol is inconsistently tracked, leading to inaccurate inventories, incorrect billing, and unrecognized diversion. The goal of this project was to implement a new method of tracking propofol in a single setting, with the aim of accounting for 10...

Blood component transfusion is an important and lifesaving Emergency Department (ED) procedure. It is not however risk-free and careful consideration of its clinical benefit for each individual patient is therefore essential. In 2008, we audited the patterns of blood component usage in 2007 within our ED. This work revealed that whilst 3209 units of blood component were ordered only 39.5% were ...

AbstractDetecting contemporary evolution requires demonstrating that genetic change has occurred. Mixed effects models allow estimation of quantitative parameters and are widely used to stu...

The phase “jumps” for solitons interacting on a vortex filament, observed in experiments, have been unaccounted for since more than twenty years. Using explicit formulas describing the interaction of two solitons on a thin vortex filament in the Localized Induction Approximation we show that an appropriate choice of the parameters of the solitons leads to large phase shifts. This result does no...

Data traversing packet networks experience varying delays, resulting in inter-arrival jitter. This can result in degraded performance in real-time multimedia communications applications if the jitter delays are large or unaccounted for in the receiver application. This paper examines modeling and simulation of network jitter delay for real-time multimedia communications applications. We examine...

Ordered discrete dependent variable models such as ordered probit and ordered logit are frequently used across the social sciences to study outcomes including health status, happiness, wealth and educational attainment. Unlike in the case of OLS, unaccounted for heteroskedasticity in these models can lead to biased parameter estimates. This paper introduces the oglmx package for the R statistic...