The Central Australian Heart Protection Study: A Randomised Trial Of Nurse-Led, Family Based Secondary Prevention Of Acute Coronary Syndromes
Funder
National Health and Medical Research Council
Funding Amount
$1,923,630.00
Summary
Despite the high burden of cardiovascular diseases among Indigenous Australians, few intervention trials have sought to evaluate novel approaches to reducing differential outcomes in this vulnerable group. The Central Australian Heart Protection Study seeks to test the effectiveness of a nurse-led, family based education and assessment program in reducing the incidence of poor outcomes in indigenous and non-indigenous patient’s following an Acute Coronary Syndrome (ACS).
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE150100030
Funder
Australian Research Council
Funding Amount
$270,000.00
Summary
Test-bed for Wide-Area Software Defined Networking Research. Test bed for wide-area software defined networking research: This project aims to develop a wide-area test bed, spanning ten organisations, for conducting research and experimentation in the emerging disruptive technology of Software Defined Networking (SDN). SDN is likely to bring long-term transformation to the networking industry, much like cloud computing did, by enabling dynamic virtualised elastic network services under software ....Test-bed for Wide-Area Software Defined Networking Research. Test bed for wide-area software defined networking research: This project aims to develop a wide-area test bed, spanning ten organisations, for conducting research and experimentation in the emerging disruptive technology of Software Defined Networking (SDN). SDN is likely to bring long-term transformation to the networking industry, much like cloud computing did, by enabling dynamic virtualised elastic network services under software control. The test bed will empower Australian researchers in network technologies and dependent applications (for example, multimedia and security) to collaboratively develop and demonstrate novel ideas at scale. This is expected to benefit Australia by giving our researchers international recognition in this nascent area, and developing a national talent pool for local industry.Read moreRead less
ARC Research Network in Spatially Integrated Social Science. The ARC Research Network in Spatially Integrated Social Science (SISS) builds Australia's capacity and capability for innovative, collaborative, cross-disciplinary effort to investigate the impacts of change on the behaviour and well-being of people and the fortunes of places. SISS theories and research tools permit the integration of diverse and complex databases, the generation of new synthetic datasets, the incorporation of spatial ....ARC Research Network in Spatially Integrated Social Science. The ARC Research Network in Spatially Integrated Social Science (SISS) builds Australia's capacity and capability for innovative, collaborative, cross-disciplinary effort to investigate the impacts of change on the behaviour and well-being of people and the fortunes of places. SISS theories and research tools permit the integration of diverse and complex databases, the generation of new synthetic datasets, the incorporation of spatial concepts into statistical analysis and modelling, powerful visualisation of information, and the building spatial decision support systems, to provide an improved evidence base and better informed decision-making to address the significant challenges facing Australia's people and its places.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE120100129
Funder
Australian Research Council
Funding Amount
$270,000.00
Summary
Internet of things testbed for creating a Smart City. The Internet of Things Testbed facility replicates the conditions of a city-wide distribution of sensors and data collection applications to model in real time the functioning urban sensing elements of a smart city, translating vast amounts of sensor data into meaningful information and ultimately action.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0775716
Funder
Australian Research Council
Funding Amount
$150,000.00
Summary
Infrastructure for a Spatially Integrated Social Science e-Research Facility. The requested facility with its Nationally Distributed Socio-Spatial Data System and On-Line Analysis, Modeling and Visualisation Research Facility will enhance Australia's national research capacity for secondary data analysis and modeling of socio-spatial information with visualisation, substantially reducing the cost of innovative research conducted at various levels of spatial scale to investigate both local and na ....Infrastructure for a Spatially Integrated Social Science e-Research Facility. The requested facility with its Nationally Distributed Socio-Spatial Data System and On-Line Analysis, Modeling and Visualisation Research Facility will enhance Australia's national research capacity for secondary data analysis and modeling of socio-spatial information with visualisation, substantially reducing the cost of innovative research conducted at various levels of spatial scale to investigate both local and nationally significant demographic, social, economic and behavioural issues. It will deliver national/community benefits through enabling hundreds of researchers and graduate students across the university system to investigate demographic, economic and social issues at various levels of spatial scale.Read moreRead less
Walking with dinosaurs in the Kimberley: mapping the Cretaceous landscapes of the Dampier Peninsula. The coastline of the Dampier Peninsula, Western Australia, preserves what is arguably one the largest and most significant stretches of dinosaur track-sites in the world. Despite recent National Heritage listing, the majority of these tracksites are largely undocumented, such that their full scientific significance is poorly understood. The aim of this project is to digitally map the dinosaur tra ....Walking with dinosaurs in the Kimberley: mapping the Cretaceous landscapes of the Dampier Peninsula. The coastline of the Dampier Peninsula, Western Australia, preserves what is arguably one the largest and most significant stretches of dinosaur track-sites in the world. Despite recent National Heritage listing, the majority of these tracksites are largely undocumented, such that their full scientific significance is poorly understood. The aim of this project is to digitally map the dinosaur tracksites of the Dampier Peninsula, utilising high-resolution aerial photography with both manned and unmanned aircraft, airborne and hand-held LiDAR imaging, and digital photogrammetry. The results will allow us to construct high-resolution, three-dimensional digital outcrop models of the tracksites, and bring the 130 million-year-old landscapes back to life.Read moreRead less
Automated analysis of multi-modal medical data using deep belief networks. This project will develop an improved breast cancer computer-aided diagnosis (CAD) system that incorporates mammography, ultrasound and magnetic resonance imaging. This system will be based on recently developed deep learning techniques, which have the capacity to process multi-modal data in a unified and optimal manner. The advantage of this technique is that it is able to automatically learn both the relevant features t ....Automated analysis of multi-modal medical data using deep belief networks. This project will develop an improved breast cancer computer-aided diagnosis (CAD) system that incorporates mammography, ultrasound and magnetic resonance imaging. This system will be based on recently developed deep learning techniques, which have the capacity to process multi-modal data in a unified and optimal manner. The advantage of this technique is that it is able to automatically learn both the relevant features to analyse in each modality and the hidden relationships between them. The use of deep belief networks has produced promising results in several fields, such as speech recognition, and so this project believes that our approach has the potential to improve both the sensitivity and specificity of breast cancer detection.Read moreRead less
Improving people management systems in emergency services. Improving people management systems in emergency services. This project aims to identify the organisational subsystems that affect the long-term employment of emergency service workers and other individual and organisational outcomes. Operational workloads affect ambulance officers’ ability to work and also contribute to psychological stress. People management systems and support mechanisms are often not configured to minimise these stre ....Improving people management systems in emergency services. Improving people management systems in emergency services. This project aims to identify the organisational subsystems that affect the long-term employment of emergency service workers and other individual and organisational outcomes. Operational workloads affect ambulance officers’ ability to work and also contribute to psychological stress. People management systems and support mechanisms are often not configured to minimise these stressors. This project expects to develop people-management strategies for organisations in difficult environments like emergency services. In turn, emergency service workers should provide better services for patients.Read moreRead less
Deep reinforcement learning for discovering and visualising biomarkers. This project aims to develop novel methods for discovering and visualising optimal bio-markers from chest computed tomography images based on extensions of recently developed deep reinforcement learning techniques. The extensions proposed in this project will advance medical image analysis by allowing an efficient analysis of large dimensionality inputs in their original high resolution. In addition, this project will be the ....Deep reinforcement learning for discovering and visualising biomarkers. This project aims to develop novel methods for discovering and visualising optimal bio-markers from chest computed tomography images based on extensions of recently developed deep reinforcement learning techniques. The extensions proposed in this project will advance medical image analysis by allowing an efficient analysis of large dimensionality inputs in their original high resolution. In addition, this project will be the first approach capable of discovering previously unknown biomarkers associated with important clinical outcomes. The project will validate the approach on a real-world case study data set concerning the prediction of five-year survival of chronic disease.Read moreRead less
A Pragmatic Randomised Clinical Trial Of Nicotine Vaporisers Added To Smoking Cessation Treatment For Priority Populations Living With Comorbidities
Funder
National Health and Medical Research Council
Funding Amount
$1,499,145.00
Summary
Smoking is a leading cause of early death for people with certain health conditions because they are more likely to smoke and are also at greater risk of tobacco-related disease. This clinical trial will test whether encouraging people living with Hepatitis C Virus, people on opiate substitution therapy and people living with HIV who smoke to use nicotine vaporisers long-term, in addition to current smoking cessation treatments, will help them to stay abstinent from smoking.