Transforming museum industry to cryopreserve Australia’s diverse wildlife. This project aspires to develop methods for collecting, culturing and cryopreserving cells from wildlife in line with museum industry practice. The project expects to generate new knowledge about the collection of live cells from animals under field conditions and their long-term maintenance in museum collections. Expected outcomes of the project include enhanced capacity of museums to build live cell collections and to s ....Transforming museum industry to cryopreserve Australia’s diverse wildlife. This project aspires to develop methods for collecting, culturing and cryopreserving cells from wildlife in line with museum industry practice. The project expects to generate new knowledge about the collection of live cells from animals under field conditions and their long-term maintenance in museum collections. Expected outcomes of the project include enhanced capacity of museums to build live cell collections and to support and collaborate with cellular biologists. Growth of live cell collections in Australian museums will fuel innovation in cellular technologies, advance fundamental biological knowledge, and shift museums from the role of documenting losses of genetic variation to preserving that genetic variation in living form.
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Understanding platinum dissolution in biomedical stimulating electrodes. Platinum is the main material used in electrodes for neurostimulators like the cochlear implant. Platinum electrodes can experience dissolution during implantation, which can impact on their function. The mechanisms governing this dissolution process are complex and still not fully understood. This research aims to understand the chemical, electrical and biological factors that impact on platinum dissolution in electrodes. ....Understanding platinum dissolution in biomedical stimulating electrodes. Platinum is the main material used in electrodes for neurostimulators like the cochlear implant. Platinum electrodes can experience dissolution during implantation, which can impact on their function. The mechanisms governing this dissolution process are complex and still not fully understood. This research aims to understand the chemical, electrical and biological factors that impact on platinum dissolution in electrodes. It will also develop new 3D models to simulate conditions in the human body for more rapid testing of electrodes. The new knowledge generated will improve the accuracy of predictions of platinum dissolution, develop new approaches for minimising dissolution, and contribute to reducing need for animal experimentation.Read moreRead less
A lipodomic approach to cnidarian-dinoflagellate symbiosis. Fatty Acids are essential for human health and for reef health. This lipodomic study using newly developed techniques, aims to understand the essential and non-essential fatty acid metabolic exchange in the symbiosis that drives coral reef formation and health, and in turn gives reflective insight into our own metabolism.
Investigation of the biology of insulin-like growth factor 1 and its derivatives for the development of new therapeutics. This project will investigate the biology of insulin-like growth factor 1, a key molecule in growth, development and, in particular, the wound healing process. Its success will lead to improved treatments for non-healing (chronic) wounds and, potentially, new anti-cancer treatments.
Ultrasound for control of cyanobacteria. Blue-green algae, also known as cyanobacteria, forms in drinking water supplies in Australia and can cause water-quality problems. Current methods to treat blue-green algae involve the use of Copper Sulphate, which is not an environmentally friendly compound. A potential alternative environmentally friendly water-treatment method involves the use of ultrasound to disrupt the cyanobacteria. The aim of this project is to determine the physical properties of ....Ultrasound for control of cyanobacteria. Blue-green algae, also known as cyanobacteria, forms in drinking water supplies in Australia and can cause water-quality problems. Current methods to treat blue-green algae involve the use of Copper Sulphate, which is not an environmentally friendly compound. A potential alternative environmentally friendly water-treatment method involves the use of ultrasound to disrupt the cyanobacteria. The aim of this project is to determine the physical properties of the cyanobacteria when excited with ultrasound for the purpose of finding an efficient method to treat large volumes of water. Read moreRead less
An automated system for the analysis of road safety and conditions. This project aims to develop an automated system for the analysis of road safety and conditions. Digital video road data is collected over every state road in Queensland annually, and has the potential to provide a range of value-added products for safer roads. This project will develop deep learning based neural network techniques which can learn and classify roadside objects so that video data can be automatically analysed all ....An automated system for the analysis of road safety and conditions. This project aims to develop an automated system for the analysis of road safety and conditions. Digital video road data is collected over every state road in Queensland annually, and has the potential to provide a range of value-added products for safer roads. This project will develop deep learning based neural network techniques which can learn and classify roadside objects so that video data can be automatically analysed allowing the estimation of the proximity of objects for road safety and rating. The expected outcome will be new identification techniques and software which can be incorporated with road data collection systems.Read moreRead less
Application of artificial neural network in flood emergency decision support system. This project will develop a method for rapid estimation of flood water levels. This will increase the warning time for flood evacuation in small coastal catchments where traditional estimating techniques are too time-consuming.
Improving the modelling of insolvency risk and financial health assessment of global companies using hybrid intelligent techniques. The social and economic impacts of corporate collapses are severe, and much research has modelled financial health and insolvency risk of companies. Most research, however, uses simple and out-dated financial ratios used by Altman (1968), and attempts to develop a universal model valid for specific (non-global) markets. Our approach is to improve the relevance of th ....Improving the modelling of insolvency risk and financial health assessment of global companies using hybrid intelligent techniques. The social and economic impacts of corporate collapses are severe, and much research has modelled financial health and insolvency risk of companies. Most research, however, uses simple and out-dated financial ratios used by Altman (1968), and attempts to develop a universal model valid for specific (non-global) markets. Our approach is to improve the relevance of the information provided to the models (including measures of strategy, recent accounting metrics, global context). We also challenge the merits of a universal model by developing and testing a novel hybrid intelligent approach combining neural networks, genetic algorithms and self-organising maps, applicable to global markets.Read moreRead less
Vision Model Based Perceptual Digital Video Coding. Digital video coding and compression is an enabling technology and has diversified applications in audiovisual communications, multimedia computing, digital television broadcast and electronic entertainment industries. The project aims at spearheading research in theory, techniques and implementation of perceptual video coding in order to achieve constant and guaranteed quality in visual communications and services. It will explore a new appr ....Vision Model Based Perceptual Digital Video Coding. Digital video coding and compression is an enabling technology and has diversified applications in audiovisual communications, multimedia computing, digital television broadcast and electronic entertainment industries. The project aims at spearheading research in theory, techniques and implementation of perceptual video coding in order to achieve constant and guaranteed quality in visual communications and services. It will explore a new approach to digital video coding other than the constant bit rate coding techniques which have dominated digital video research for the past four decades. It will form a part of the theoretical foundation and principles for the next generation video coding and compression techniques, and may lead to new standards and practice.Read moreRead less
Intelligent techniques to exploit the dynamic temporal structure in detection of attacks in credit application fraud. Obtaining credit using fraudulent information costs financial institutions billions of dollars. This project develops fraud detection methods in credit applications, working with credit bureau data. Existing fraud detection models are mostly applicable to transaction fraud, rather than application fraud, and are static. Fraudsters however constantly change their method of attack. ....Intelligent techniques to exploit the dynamic temporal structure in detection of attacks in credit application fraud. Obtaining credit using fraudulent information costs financial institutions billions of dollars. This project develops fraud detection methods in credit applications, working with credit bureau data. Existing fraud detection models are mostly applicable to transaction fraud, rather than application fraud, and are static. Fraudsters however constantly change their method of attack. The temporal characteristics of fraud attacks provide an additional source of information that can be exploited to gain increased predictive power. We propose a hybrid intelligent approach to construct models that are sensitive to the temporal dynamics of fraud attacks, and evolve to acknowledge the changing behaviour of fraudsters.Read moreRead less