A more intelligent knowledge-based system apprentice. Our previous techniques already had an impact on Australian industry, with five Australian companies marketing such technology, and for three of these it is a central technology. We expect an early uptake of the enhancements we propose by these companies, greatly increasing their international competitiveness against other rule technologies. Three of these companies are very recent, so we would expect other company uptake of the new enhance ....A more intelligent knowledge-based system apprentice. Our previous techniques already had an impact on Australian industry, with five Australian companies marketing such technology, and for three of these it is a central technology. We expect an early uptake of the enhancements we propose by these companies, greatly increasing their international competitiveness against other rule technologies. Three of these companies are very recent, so we would expect other company uptake of the new enhanced technology. In turn Australian companies using the technology will improve their competitiveness in an increasingly knowledge-based economy by being able to more rapidly and easily deploy knowledge-based systems. Our previous techniques have already had a significant impact in medical practice.Read moreRead less
Visualising neuron-glia interactions in the injured central nervous system. The adult brain and spinal cord recovery poorly from injury. Attempts to overcome this problem include methods to promote the intrinsic regenerative capacity of injured neurons, and modulating the inhibitory extracellular environment to become permissive to regeneration. The goal of this project is to investigate an endogenous regenerative mechanism in the injured brain. This project will use the latest, cutting-edge mic ....Visualising neuron-glia interactions in the injured central nervous system. The adult brain and spinal cord recovery poorly from injury. Attempts to overcome this problem include methods to promote the intrinsic regenerative capacity of injured neurons, and modulating the inhibitory extracellular environment to become permissive to regeneration. The goal of this project is to investigate an endogenous regenerative mechanism in the injured brain. This project will use the latest, cutting-edge microscopy techniques to visualise whether the endogenous astrocyte protein metallothionein can promote regeneration in the injured nervous system of living zebrafish. The successful outcomes of this project will provide significant insight into understanding how the brain responds to injury.Read moreRead less
Investigating the molecular function of alpha-Haemoglobin stabilising protein. The research described in this proposal will provide new insights into haemoglobin regulation and redox chemistry in erythrocytes. Deregulation of these processes gives rise to a number of debilitating diseases, including varieties of anaemia and thalassaemia-in Australia it is estimated that 3% of the population could be carriers of b-thalassaemia mutations. Given the contribution of free aHb to the pathology of b-th ....Investigating the molecular function of alpha-Haemoglobin stabilising protein. The research described in this proposal will provide new insights into haemoglobin regulation and redox chemistry in erythrocytes. Deregulation of these processes gives rise to a number of debilitating diseases, including varieties of anaemia and thalassaemia-in Australia it is estimated that 3% of the population could be carriers of b-thalassaemia mutations. Given the contribution of free aHb to the pathology of b-thalassaemia, understanding the specific aHb-binding factor, AHSP is a goal of national significance. In the long term, manipulation of AHSP function through gene therapy may have a direct role in the treatment of thalassaemia.Read moreRead less
Redefining the metallothionein's role in the injured brain: extracellular metallothioneins play an important role in astrocyte-neuron responses to injury. This project is being performed by an Australian team of researchers who are leaders in this field of research, and has significant national benefits in supporting this team reveal fundamental information on the cellular interactions that occur between astrocytes and neurons within the injured brain. In national terms, it will contribute to th ....Redefining the metallothionein's role in the injured brain: extracellular metallothioneins play an important role in astrocyte-neuron responses to injury. This project is being performed by an Australian team of researchers who are leaders in this field of research, and has significant national benefits in supporting this team reveal fundamental information on the cellular interactions that occur between astrocytes and neurons within the injured brain. In national terms, it will contribute to the concerted effort by Australian scientists to understand how and why neurons die following brain injury or neurodegenerative disease. Furthermore, this research contributes directly to the Designated National Research Priorities by identifying some of the earliest biochemical and cellular processes associated with aging or disease of the brain.Read moreRead less
Physics-aware machine learning for data-driven fire risk prediction. The 2019/20 Australian fire season was unprecedented in its extent, impact, and the response of fire agencies. In this project, we aim to answer the question: was the scale of these fires driven by known drivers of fire (drought, weather, fuels and ignitions), or were fundamentally new undescribed processes and phenomena involved? We will accomplish this by developing an innovative, physics-aware machine learning model of fire ....Physics-aware machine learning for data-driven fire risk prediction. The 2019/20 Australian fire season was unprecedented in its extent, impact, and the response of fire agencies. In this project, we aim to answer the question: was the scale of these fires driven by known drivers of fire (drought, weather, fuels and ignitions), or were fundamentally new undescribed processes and phenomena involved? We will accomplish this by developing an innovative, physics-aware machine learning model of fire risk and spread, trained and validated on a two-decade satellite fire record. The predictive ability of the model will be tested on the 2019/20 fire season to determine if novel drivers of fire can be identified, and the model itself will be operationalised into a novel short-to-mid term fire risk prediction tool. Read moreRead less