Business Commons^™

Three-Dimensional Dosimetry Imaging Of I-125 Plaque For Eye Cancer Treatment, Michael Weaver, Janette P. Green, Marco Petasecca, Michael L. Lerch, Dean L. Cutajar, D. Franklin, J Jakubek, Martin G. Carolan, M Conway, S Pospisil, Tomas Kron, Peter E. Metcalfe, M Zaider, Anatoly B. Rosenfeld

Sydney Business School - Papers

Treatment of ocular cancers using eye plaque brachytherapy is now an established medical procedure. However, current QA for these eye plaques is quite rudimentary, limiting the opportunities for precise pre-tumour plaque customisation. This paper proposes and experimentally validates a new technique for imaging of eye plaque dose distributions using a high-resolution pixelated silicon detector. Results are presented demonstrating the 2D and 3D isodose surfaces produced using experimental data collected using this method.

The Use Of Proxy / Informant Reports For People With Dementia, Nicholas Marosszeky, Emily Sansoni

Sydney Business School - Papers

The progressive deterioration of cognitive and functional abilities in people with dementia presents a number of practical problems for the measurement of health outcomes using self-report health status instruments for people with cognitive impairment; the need for better survey design for older people using universal design principles; the time constraints involved with assessment; as well as test administration issues like test-taker in attention and compliance, or alternatively, test-taker burden and distress.

A Heuristic Search Algorithm For Flow-Shop Scheduling, Joshua P. Fan, Graham K. Winley

Sydney Business School - Papers

This article describes the development of a new intelligent heuristic search algorithm (IHSA*) which guarantees an optimal solution for flow-shop problems with an arbitrary number of jobs and machinesprovided the job sequence is constrained to be the same on each machine. The development is described in terms of 3 modifications made to the initial version of IHSA*. The first modification concerns thechoice of an admissible heuristic function. The second concerns the calculation of heuristic estimates as the search for an optimal solution progresses, and the third determines multiple optimal solutions whenthey exist. The first 2 modifications improve performance characteristics of …

Working Together For Mental Health: Evaluation Of A One-Day Mental Health Course For Human Service Providers, Pamela E. Grootemaat, Cathie Gillan, Gillian Holt, Wayne Forward, Narelle Heywood, Sue Willis

Sydney Business School - Papers

Background: The Working Together For Mental Health course is an 8-hour course designed to demystify mental illness and mental health services. The main target group for the course is people working in human service organisations who provide services for people with mental illness. Methods: A questionnaire was administered to all participants attending the course during 2003 (n = 165). Participants completed the questionnaire before and immediately after the course, and at three month follow-up. Results: A response rate of 69% was achieved with 114 people completing the questionnaire on all three occasions. The responses showed a significant …

Why 'Primary Care' Patients Go To Emergency Departments: Demographic Profile And Reasons For Presentation, Peter M. Siminski, Andrew J. Bezzina, Kathy Eagar

Sydney Business School - Papers

This paper investigates why (potential) primary care patients attend an ED rather than a GP. An understanding of why patients make decisions such as this is critical if the health system is to be better positioned to meet the increasing demand for improved services and outcomes.

We found that the rate of potential primary care presentations varies greatly by age and by sex and that the pattern of primary care presentations is different to that of other ED presentations. In relation to reasons, we found that, regardless of age or sex, the top three reasons were self-assessed urgency; being able …

A Configurable Time-Controlled Clustering Algorithm For Wireless Sensor Networks, S. Selvakennedy, Sukunesan Sinnappan

Sydney Business School - Papers

Future large-scale sensor networks may comprise thousands of wirelessly connected sensor nodes that could provide an unimaginable opportunity to interact with physical phenomena in real time. These nodes are typically highly resource-constrained. Since the communication task is a significant power consumer, there are various attempts to introduce energy-awareness at different levels within the communication stack. Clustering is one such attempt to control energy dissipation for sensor data routing. Here, we propose the time-controlled clustering algorithm to realise a network-wide energy reduction by the rotation of clusterhead role, and the consideration of residual energy in its election. A realistic energy model …

The Time Controlled Clustering Algorithm For Optimised Data Dissemination In Wireless Sensor Networks, S. Selvakennedy, Sukunesan Sinnappan

Sydney Business School - Papers

As the communication task is a significant power consumer, there are many attempts to improve energy efficiency. Node clustering, to reduce direct transmission to the base station, is one such attempt to control data dissemination. Here, we derived the optimal number of clusters for TCCA clustering algorithm based on a realistic energy model using results in stochastic geometry.