A comparison of telepaediatric activity at two regional hospitals in Queensland

We conducted a 15-month feasibility study of telepaediatrics. A novel service was offered to two hospitals in Queensland (Mackay and Hervey Bay). We used data from all other hospitals throughout the state as the control group. Although both intervention hospitals were provided with the same service, the telepaediatric activity generated and the effect on admissions and outpatient activity were markedly different. There was a significant decrease in the number of patient admissions to Brisbane from the Mackay region. In addition, there was an increase in the number of Mackay patients treated locally (as outpatients). In contrast, little change was observed in Hervey Bay. We assessed whether the observed differences between the two hospitals were due to various factors which influenced the use of the telepaediatric service. These factors included the method of screening patients before transfer to the tertiary centre and the physical distance between each facility and the tertiary centre. We believe that the screening method used for patient referrals was the most important determinant of the use of the telepaediatric service.

The Importance of Dissimilatory Nitrate Reduction to Ammonium (DNRA) in the Nitrogen Cycle of Coastal Ecosystems

Until recently, it was believed that biological assimilation and gaseous nitrogen (N) loss through denitrification were the two major fates of nitrate entering or produced within most coastal ecosystems. Denitrification is often viewed as an important ecosystem service that removes reactive N from the ecosystem. However, there is a competing nitrate reduction process, dissimilatory nitrate reduction to ammonium (DNRA), that conserves N within the ecosystem. The recent application of nitrogen stable isotopes as tracers has generated growing evidence that DNRA is a major nitrogen pathway that cannot be ignored. Measurements comparing the importance of denitrification vs. DNRA in 55 coastal sites found that DNRA accounted for more than 30% of the nitrate reduction at 26 sites. DNRA was the dominant pathway at more than one-third of the sites. Understanding what controls the relative importance of denitrification and DNRA, and how the balance changes with increased nitrogen loading, is of critical importance for predicting eutrophication trajectories. Recent improvements in methods for assessing rates of DNRA have helped refine our understanding of the rates and controls of this process, but accurate measurements in vegetated sediment still remain a challenge.

A gold sol particle immunoassay for measurement of von willebrand factor using the CA-6000 analyzer

The diagnosis of Von Willebrand's disease (VWD) may sometimes be difficult because of the variability of the results obtained over time in individuals. Moreover, blood group, age, pregnancy and inflammatory stimuli influence the level of Von Willebrand Factor (VWF). The purpose of this thesis was to screen and characterize antibodies to Von Willebrand factor and to evaluate the most promising ones in a gold- Sol assay for VWF on the CA-6000 analyzer. Seven different lots of Anti-VWF antibodies, 3 polyclonal and 4 monoclonal Ab's were screened and evaluated. Two of these antibodies (Sunol R01358 and MAVWF-AP) were selected for preparation of a Gold coated antibody solution. The preliminary testing of these gold coated antibodies on CA-6000 Analyzer showed no immunoreactivity toward VWF for both individual and pooled plasma (from normal healthy donors). Although measurement of VWF for normal plasma with this technique was not demonstrated, these data will be valuable for future work on the design of sensitive and accurate automated sol Gold Immunoassays for the diagnosis of VWD.

Legonaridin, a new member of linaridin RiPP from a Ghanaian Streptomyces Isolate

Acknowledgements KK, MJ, RE and HD are grateful for financial support through the Leverhulme Trust-Royal Society Africa award (AA090088). MJ, RE, HD, JT and KH thank EU FP7 for financial support (contract no. 312184). HD thanks the School of Natural and Computing Sciences, University of Aberdeen, for a PhD scholarship to XLW. PCD gratefully acknowledges grants from the National Institute of Health (GM097509 and GMS10RR029121). We thank the Bruker Therapeutic Discovery Mass Spectrometry Center for recording the MSn spectra.

From Kandinsky to Java (The Use of 20th Century Abstract Art in Learning Programming)

At the University of Worcester we are continually striving to find new approaches to the learning and teaching of programming, to improve the quality of learning and the student experience. Over the past three years we have used the contexts of robotics, computer games, and most recently a study of Abstract Art to this end. This paper discusses our motivation for using Abstract Art as a context, details our principles and methodology, and reports on an evaluation of the student experience. Our basic tenet is that one can view the works of artists such as Kandinsky, Klee and Malevich as Object-Oriented (OO) constructions. Discussion of these works can therefore be used to introduce OO principles, to explore the meaning of classes, methods and attributes and finally to synthesize new works of art through Java code. This research has been conducted during delivery of an “Advanced OOP (Java)” programming module at final-year Undergraduate level, and during a Masters’ OO-Programming (Java) module. This allows a comparative evaluation of novice and experienced programmers’ learning. In this paper, we identify several instructional factors which emerge from our approach, and reflect upon the associated pedagogy. A Catalogue of ArtApplets is provided at the associated web-site.

Optimal control, geometry, and quantum computing

We prove upper and lower bounds relating the quantum gate complexity of a unitary operation, U, to the optimal control cost associated to the synthesis of U. These bounds apply for any optimal control problem, and can be used to show that the quantum gate complexity is essentially equivalent to the optimal control cost for a wide range of problems, including time-optimal control and finding minimal distances on certain Riemannian, sub-Riemannian, and Finslerian manifolds. These results generalize the results of [Nielsen, Dowling, Gu, and Doherty, Science 311, 1133 (2006)], which showed that the gate complexity can be related to distances on a Riemannian manifold.

Using context and preferences to implement self-adapting pervasive computing applications

Applications that exploit contextual information in order to adapt their behaviour to dynamically changing operating environments and user requirements are increasingly being explored as part of the vision of pervasive or ubiquitous computing. Despite recent advances in infrastructure to support these applications through the acquisition, interpretation and dissemination of context data from sensors, they remain prohibitively difficult to develop and have made little penetration beyond the laboratory. This situation persists largely due to a lack of appropriately high-level abstractions for describing, reasoning about and exploiting context information as a basis for adaptation. In this paper, we present our efforts to address this challenge, focusing on our novel approach involving the use of preference information as a basis for making flexible adaptation decisions. We also discuss our experiences in applying our conceptual and software frameworks for context and preference modelling to a case study involving the development of an adaptive communication application.

Developing context-aware pervasive computing applications: Models and approach

There is growing interest in the use of context-awareness as a technique for developing pervasive computing applications that are flexible, adaptable, and capable of acting autonomously on behalf of users. However, context-awareness introduces a variety of software engineering challenges. In this paper, we address these challenges by proposing a set of conceptual models designed to support the software engineering process, including context modelling techniques, a preference model for representing context-dependent requirements, and two programming models. We also present a software infrastructure and software engineering process that can be used in conjunction with our models. Finally, we discuss a case study that demonstrates the strengths of our models and software engineering approach with respect to a set of software quality metrics.