A case of Kunjin virus encephalitis in a traveller returning from the Northern Territory

On 6 May 2001, a 67-year-old Australian born, Caucasian male presented to the Emergency Department of the Austin and Repatriation Medical Centre (A&RMC) with a 3 day history of fever, lethargy and confusion. This occurred one week after returning from a trip to the Northern Territory. His previous medical problems included ischaemic heart disease, a repaired abdominal aortic aneurysm, hypertension, hyperlipidaemia and congestive cardiac failure. He smoked 20 cigarettes per day and had a history of heavy alcohol consumption. He had no history of diabetes. His medications were aspirin, frusemide, lisinopril, simvastatin, and a nitroglycerol patch. Fifty years ago, he had an adverse reaction to penicillin with angioedema and an urticarial rash. Four weeks before admission he went on a fishing trip in the Northern Territory. He travelled by road, through outback regions of Victoria, New South Wales, Queensland, the Northern Territory and South Australia, spending time in Daly River, Coolum, Darwin, Dunmarra, Avon Downs, Innaminka and Mataranka. He was away for 3 weeks and camped in tents or outside in a swag throughout the trip. He recalls numerous times where he was exposed to mosquitoes with large numbers of bites at Dunmarra. During the time away, he remained well as did his 5 travelling companions. There was...

Show me the magic : the adventures of Don McAlpine

Synopsis Show Me The Magic takes us on an enthralling and joyful journey into the life and work of the legendary and world-renowned Australian cinematographer, Don McAlpine. A country kid from the small wheat-belt town of Quandialla in isolated south-western New South Wales, Australia, McAlpine was born in 1934 - the year before the first technicolour film was released. There wasn’t even a cinema in Quandialla. Don helped his mother support their family from the age of 14, when his father was stricken by tuberculosis. His part-time job at the Temora chemist as a darkroom photo developer struck a chord in young Don's soul. Soon, a school performance of The Mikado ignited in him the desire to entertain an audience. His fascination with the magical images emerging from his darkroom set him on the winding path that would eventually lead to the glittering lights of Hollywood, where, in 2009, he received the American Society of Cinematographers’ “International Cinematographer of the Year” Award in front of the foremost luminaries of the American film industry. That same year, Don shot his 50th film, X-Men Origins: Wolverine, a big-budget, effects-driven action movie directed by Oscar-winner Gavin Hood and starring Hugh Jackman. Show Me the Magic takes us on set and behind the scenes of that film. In 2011, Don posted another landmark: Mental, a low budget movie directed by PJ Hogan (Muriel’s Wedding, My Best Friend’s Wedding, Peter Pan). Mental was Don’s first digital film and his first Australian film in 25 years. As we travel with Don back into his past, and into the Australian outback landscape that he loves so much, we experience the extremes of movie making: embedded alongside him on the contrasting sets of Wolverine and Mental, we peel back the layers of what Don calls ‘the beautiful deception' of cinema to illuminate the world behind the screen. Joined by celebrated Australian directors Bruce Beresford and Gillian Armstrong, we explore the heritage of the remarkable Australian films that Don photographed, including the iconic Breaker Morant and My Brilliant Career. In Los Angeles, Don reconnects with Paul Mazursky who gave him his big break in Hollywood with Tempest and followed up with Down and Out in Beverly Hills. And two Australians of a later generation - Baz Luhrmann and Catherine Martin - take us behind the scenes on Don’s spectacular creative achievements – Romeo + Juliet and Moulin Rouge! At once the story of a remarkable man and an exploration of filmmaking at the highest level, Show Me The Magic will engage and entrance anyone who has ever been touched by the magic of movies. - See more at: http://www.showmethemagic.com.au/film.htm#synopsis" This film is dedicated to the memory of South African film-maker Peter Henkel, 1924 - 1992.

Real estate agents : why is education important?

Real Estate Agency education in Australia has undergone many changes during the last 40 years. This is primarily due to the changing nature of consumer protection provided by government and the expectation of increased fields of knowledge relating to real estate transactions. Each state and territory within Australia has a range of regulatory bodies to oversee consumer protection and the distinct licenses and educational requirements that comprise their regimes. Since the 1970’s minimum educational requirements in New South Wales are prescribed for real estate agency work. However, very little research exists in the Australian literature, where an analysis has been undertaken to evaluate these changes, which includes course content, hours allocated for each subject, assessment criteria for each subject,the educational qualification attained, and the requirement for industry experience as a pre-requisite for licensing approval. It is argued that the change to educational requirements, has impacted negatively for the consumer, with an increase in consumer complaints, particularly during the last 10 years.

Building distributed leadership for effective supervision of creative practice higher research degrees : final report 2014

Building distributed leadership for effective supervision of creative practice higher research degrees is an Office for Learning and Teaching (OLT) funded project, conducted in partnership between Queensland University of Technology, The University of Melbourne, Auckland University of Technology, University of New South Wales and University of Western Sydney. The project was initiated to develop a cooperative approach to establishing an understanding of the contextual frameworks of the emergent field of creative practice higher degrees by research (HDRs); capturing early insights of administrators and supervisors; gathering exemplars of good practices; and establishing an in-common understanding of effective approaches to supervision. To this end, the project has produced: • A literature review, to provide a research foundation for creative practice higher research degree supervision (Chapter 3). • A contextual review of disciplinary frameworks for HDR programs, produced through surveys of postgraduate research administrators (Section 4.1), and an analysis of institutional materials and academic development programs for supervisors (Section 4.2). • A National Symposium, Effective Supervision of Creative Arts Research Degrees (ESCARD), at QUT in Brisbane in February 2013, with 62 delegates from 20 Australasian Universities, at which project findings were disseminated, and delegates presented case studies and position papers, and participated in discussions on key issues for supervisors (Appendix 1). • Resources, including a booklet for supervisors: 12 Principles for the Effective Supervision of Creative Practice Higher Research Degrees, which encapsulates attitudes, insights and good practices of experienced and new supervisors. It was produced through a content analysis of interviews with twenty-five supervisors in creative disciplines (visual and performing arts, music, new media, creative writing and design) (Printed booklet, PDF, Appendix 3). • A project website to disseminate project outcomes , which holds project findings, relevant references, and a repository of case studies and position papers by supervisors and program administrators. • A call for papers for a special issue ‘Supervising Practice: Perspectives on the Supervision of Creative Practice Research Higher Degrees’ of ACCESS Journal: Critical Perspectives on Communication, Cultural & Policy Studies (ERA ranked A quality) in 2014 (Appendix 2). • A community of supervisory practice initiated through project partnerships, a national symposium where supervisors from across Australasia met in dialogue for the first time, resource sharing, and joint publishing opportunities. • A set of recommendations for supervision capacity building and academic development, produced through the triangulation of literature and contextual reviews, analysis of institutional frameworks, interviews with supervisors and national dialogues. It is anticipated that the project’s outcomes will support experienced and new supervisors in this emergent field, and so benefit HDR students, and will enable creative disciplines to build supervision capacity, and so to accommodate growth in postgraduate enrolments. Funded as a pilot project, the project set out to establish a robust research base to provide a foundation for future work involving sharing good practices, resource building, and designing effective approaches to academic development for supervisors. Recommendations that were produced out of this project include the need to extend beyond generic, formal training for supervisors to academic development that harnesses and extends distributed leadership; focuses on local, disciplinary contexts; has a strong emphasis on case studies; provides diverse resources; and facilitates dialogue between supervisors. Recommendations also include developing frameworks for mentoring new supervisors and building a national network to facilitate cross-institutional discourse, disseminate good practices, and share insights into the management of risk factors, ethical issues, and preparing candidates for examination. As a pilot investigation, the outcomes of this project lay the ground for this future work.

Fiction as a form of change : a paper overview of a literature panel discussion

It is well established that literary work can promote insights that result in future change, whether on a personal or an institutional level. As Umberto Eco (1989) notes, the act of reading does not stop with the artist but continues into the work of communities. The papers delivered in this panel consider the regenerative role of literature within culture, arguing that the special properties of literature can convey an important sense of nature (Bateson 1973, Zapf 2008). These concepts are discussed in relation to writing about Australian flora and fauna. Using an ecocritical focus based on ideas about the relationship between literature and the environment the paper considers Australian works and the way in which literature enlivens this complex intersection between humans, animals and the environment. This engagement is investigated through three modes: the philosophical, the literary, and the practical. The novels discussed include Alexis Wright’s Carpentaria, Richard Flanagan’s Wanting, and Sonya Hartnett’s Forest, as well as a range of fictional and non-fictional works that describe the Blue Mountains region in New South Wales. The paper closes with a discussion of the role of story-telling as a way of introducing the public to specific environmental locations and issues.

Criminalisation and normative theory

Criminal law scholarship is enjoying a renaissance in normative theory, evident in a growing list of publications from leading scholars that attempt to elucidate a set of principles on which criminalisation and criminal law might — indeed should — be based. This development has been less marked in Australia, where a stream of criminologically influenced criminal law scholarship, teaching and practice has emerged over nearly three decades. There are certain tensions between this predominantly contextual, process-oriented and criminological tradition that has emerged in Australia, characterised by a critical approach to the search for ‘general principles’ of the criminal law, and the more recent revival of interest in developing a set of principles on which a ‘normative theory of criminal law’ might be founded. Aspects of this tension will be detailed through examination of recent examples of criminalisation in New South Wales that are broadly representative of trends across all Australian urisdictions. The article will then reflect on the links between these particular features of criminalisation and attempts to develop a ‘normative theory’ of criminalisation.

A novel method for analysing lighting variance

Robust descriptor matching across varying lighting conditions is important for vision-based robotics. We present a novel strategy for quantifying the lighting variance of descriptors. The strategy works by utilising recovered low dimensional mappings from Isomap and our measure of the lighting variance of each of these mappings. The resultant metric allows different descriptors to be compared given a dataset and a set of keypoints. We demonstrate that the SIFT descriptor typically has lower lighting variance than other descriptors, although the result depends on semantic class and lighting conditions.

Advantages of exploiting projection structure for segmenting dense 3D point clouds

Timely and comprehensive scene segmentation is often a critical step for many high level mobile robotic tasks. This paper examines a projected area based neighbourhood lookup approach with the motivation towards faster unsupervised segmentation of dense 3D point clouds. The proposed algorithm exploits the projection geometry of a depth camera to find nearest neighbours which is time independent of the input data size. Points near depth discontinuations are also detected to reinforce object boundaries in the clustering process. The search method presented is evaluated using both indoor and outdoor dense depth images and demonstrates significant improvements in speed and precision compared to the commonly used Fast library for approximate nearest neighbour (FLANN) [Muja and Lowe, 2009].

Low cost localisation for agricultural robotics

This paper presents a pose estimation approach that is resilient to typical sensor failure and suitable for low cost agricultural robots. Guiding large agricultural machinery with highly accurate GPS/INS systems has become standard practice, however these systems are inappropriate for smaller, lower-cost robots. Our positioning system estimates pose by fusing data from a low-cost global positioning sensor, low-cost inertial sensors and a new technique for vision-based row tracking. The results first demonstrate that our positioning system will accurately guide a robot to perform a coverage task across a 6 hectare field. The results then demonstrate that our vision-based row tracking algorithm improves the performance of the positioning system despite long periods of precision correction signal dropout and intermittent dropouts of the entire GPS sensor.

μAV - Design and implementation of an open source micro quadrotor

This paper presents the design of μAV, a palm size open source micro quadrotor constructed on a single Printed Circuit Board. The aim of the micro quadrotor is to provide a lightweight (approximately 86g) and cheap robotic research platform that can be used for a range of robotic applications. One possible application could be a cheap test bed for robotic swarm research. The goal of this paper is to give an overview of the design and capabilities of the micro quadrotor. The micro quadrotor is complete with a 9 Degree of Freedom Inertial Measurement Unit, a Gumstix Overo® Computer-On-Module which can run the widely used Robot Operating System (ROS) for use with other research algorithms.

Training-free probability models for whole-image based place recognition

Whole-image descriptors such as GIST have been used successfully for persistent place recognition when combined with temporal filtering or sequential filtering techniques. However, whole-image descriptor localization systems often apply a heuristic rather than a probabilistic approach to place recognition, requiring substantial environmental-specific tuning prior to deployment. In this paper we present a novel online solution that uses statistical approaches to calculate place recognition likelihoods for whole-image descriptors, without requiring either environmental tuning or pre-training. Using a real world benchmark dataset, we show that this method creates distributions appropriate to a specific environment in an online manner. Our method performs comparably to FAB-MAP in raw place recognition performance, and integrates into a state of the art probabilistic mapping system to provide superior performance to whole-image methods that are not based on true probability distributions. The method provides a principled means for combining the powerful change-invariant properties of whole-image descriptors with probabilistic back-end mapping systems without the need for prior training or system tuning.

Improved line tracker using IMU and vision for visual servoing

This paper introduces an improved line tracker using IMU and vision data for visual servoing tasks. We utilize an Image Jacobian which describes motion of a line feature to corresponding camera movements. These camera motions are estimated using an IMU. We demonstrate impacts of the proposed method in challenging environments: maximum angular rate ~160 0/s, acceleration ~6m /s2 and in cluttered outdoor scenes. Simulation and quantitative tracking performance comparison with the Visual Servoing Platform (ViSP) are also presented.

Towards bio-inspired place recognition over multiple spatial scales

This paper presents a new multi-scale place recognition system inspired by the recent discovery of overlapping, multi-scale spatial maps stored in the rodent brain. By training a set of Support Vector Machines to recognize places at varying levels of spatial specificity, we are able to validate spatially specific place recognition hypotheses against broader place recognition hypotheses without sacrificing localization accuracy. We evaluate the system in a range of experiments using cameras mounted on a motorbike and a human in two different environments. At 100% precision, the multiscale approach results in a 56% average improvement in recall rate across both datasets. We analyse the results and then discuss future work that may lead to improvements in both robotic mapping and our understanding of sensory processing and encoding in the mammalian brain.

Towards condition-invariant, top-down visual place recognition

In this paper we present a novel place recognition algorithm inspired by recent discoveries in human visual neuroscience. The algorithm combines intolerant but fast low resolution whole image matching with highly tolerant, sub-image patch matching processes. The approach does not require prior training and works on single images (although we use a cohort normalization score to exploit temporal frame information), alleviating the need for either a velocity signal or image sequence, differentiating it from current state of the art methods. We demonstrate the algorithm on the challenging Alderley sunny day – rainy night dataset, which has only been previously solved by integrating over 320 frame long image sequences. The system is able to achieve 21.24% recall at 100% precision, matching drastically different day and night-time images of places while successfully rejecting match hypotheses between highly aliased images of different places. The results provide a new benchmark for single image, condition-invariant place recognition.

An analysis of regression models for predicting the speed of a wave glider autonomous surface vehicle

An important aspect of robotic path planning for is ensuring that the vehicle is in the best location to collect the data necessary for the problem at hand. Given that features of interest are dynamic and move with oceanic currents, vehicle speed is an important factor in any planning exercises to ensure vehicles are at the right place at the right time. Here, we examine different Gaussian process models to find a suitable predictive kinematic model that enable the speed of an underactuated, autonomous surface vehicle to be accurately predicted given a set of input environmental parameters.