Bridging The Gap Between Cartilage Biology And Osteoarthritis Risk Prediction
Funder
National Health and Medical Research Council
Funding Amount
$512,256.00
Summary
Osteoarthritis is a painful and debilitating cartilage disease affecting just under 1 in 10 Australians and costs the Australian economy roughly $12 billion per year. This project will develop computational models of cartilage with the ability to incorporate genetic and environmental risk factors into a predictive model of cartilage disease.
Optimising Intervention Strategies To Reduce The Burden Of Group A Streptococcus In Aboriginal Communities
Funder
National Health and Medical Research Council
Funding Amount
$856,896.00
Summary
Skin sores are highly prevalent in remote Australian Indigenous communities and can lead to invasive infections and rheumatic heart disease. We will develop mathematical models to understand the transmission of skin sores, allowing us to define the optimal extent (household, community, region), timing and triggers for interventions to interrupt transmission. This will guide public health policy in reducing the prevalence of skin sores and scabies, and their accompanying disease burden.
Towards Prevention Of Acute Kidney Injury After Cardiac Surgery
Funder
National Health and Medical Research Council
Funding Amount
$771,918.00
Summary
Open heart surgery saves thousands of lives each year in Australia, but often injures the kidney. Kidney oxygen deficiency is a major cause of kidney injury. We propose a new way to manage kidney oxygen levels during heart surgery, by measuring the level of oxygen in the urine in the bladder. We will determine whether low levels of oxygen in the urine during surgery predict later development of acute kidney injury, and whether patient management can be changed to optimize kidney oxygen levels.
Stochastic Analysis with a View to Applications in Financial Risk Processes. Recent decades have seen explosive growth in applications of probability theory and statistics to the modelling of risk in finance and insurance. An intensive theoretical investigation into passage time and other problems for Levy and other continuous time processes will be applied to financial risk analyses. Related investigations will involve perpetuities and stochastic volatility models for price series. Outcomes ....Stochastic Analysis with a View to Applications in Financial Risk Processes. Recent decades have seen explosive growth in applications of probability theory and statistics to the modelling of risk in finance and insurance. An intensive theoretical investigation into passage time and other problems for Levy and other continuous time processes will be applied to financial risk analyses. Related investigations will involve perpetuities and stochastic volatility models for price series. Outcomes will include the development of new theory in probability and statistics, the initiation and reinforcement of collaborative ties with major international research figures, and the fostering of contacts with the finance industry.Read moreRead less
Diseases caused by the pneumococcus represent the largest cause of vaccine preventable death in the world today, mainly pneumonia and meningitis. In 2011, 16 developing countries will introduce pneumococcal conjugate vaccines, none in east Asia. Lack of research has been a major barrier to their use in the region. We have established an international centre of excellence in the field and we seek support to extend the capacity of this group and to transfer the technology to Vietnam.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0346878
Funder
Australian Research Council
Funding Amount
$190,000.00
Summary
GeoWulf: An Inference Engine for Complex Earth Systems. The project is to build a `Beowulf' cluster as a platform for solving
complex data inference problems in the Earth sciences, and in
particular the fields of thermochronology, seismology, crustal and
mantle dynamics, and landform evolution. A Beowulf cluster is a
network-linked set of commonly available `off-the-shelf' PC-computers
configured to give unprecedented performance/cost ratio. Projects
using the Beowulf facility will combine ....GeoWulf: An Inference Engine for Complex Earth Systems. The project is to build a `Beowulf' cluster as a platform for solving
complex data inference problems in the Earth sciences, and in
particular the fields of thermochronology, seismology, crustal and
mantle dynamics, and landform evolution. A Beowulf cluster is a
network-linked set of commonly available `off-the-shelf' PC-computers
configured to give unprecedented performance/cost ratio. Projects
using the Beowulf facility will combine state-of-the-art computational
techniques recently developed at ANU, and high quality data sets
collected over the past decade to address fundamental questions in
the Geosciences.Read moreRead less
Dynamic CFD Simulations and Scale-Up of Three-Phase Slurry Reactors for Gas-to-Liquid (GTL) Technology. The gas-liquid-solid flow patterns in three-phase slurry bubble column reactors will be studied using experiments and CFD. The effect of various reactor parameters will be studied to develop the scale-up heuristic for the slurry bubble column reactor. The Findings of this study will be used to optimise the reactor system for the offshore natural gas locations of Australia. A successful impleme ....Dynamic CFD Simulations and Scale-Up of Three-Phase Slurry Reactors for Gas-to-Liquid (GTL) Technology. The gas-liquid-solid flow patterns in three-phase slurry bubble column reactors will be studied using experiments and CFD. The effect of various reactor parameters will be studied to develop the scale-up heuristic for the slurry bubble column reactor. The Findings of this study will be used to optimise the reactor system for the offshore natural gas locations of Australia. A successful implementation of this project will bring a huge economic benefit to Australia by utilising the vast amount of remotely located and otherwise unusable stranded natural gas reserves. The project falls within one of National Research Priorities: An Environmentally Sustainable Australia.Read moreRead less
Improving risk management based on short-term stochastic forecast for financial decisions. The project targets the problems of strategy selection in the framework of mathematical finance. The aim is to find ways to reduce the impact of forecast errors in the presence of uncertainty. Related forecasting algorithms and solutions of optimization problems will be obtained.
Crowd tracking and visual analytics for rapidly deployable imaging devices. Crowd tracking and visual analytics for rapidly deployable imaging devices. This project aims to develop visual analytics technology that adds machine intelligence to a rapidly deployable time-lapse imaging platform. Such devices can operate on solar and wind power, and be remotely programmed (via a cellular network) to take photos and send them to a server at given times. This project, which focuses on monitoring crowds ....Crowd tracking and visual analytics for rapidly deployable imaging devices. Crowd tracking and visual analytics for rapidly deployable imaging devices. This project aims to develop visual analytics technology that adds machine intelligence to a rapidly deployable time-lapse imaging platform. Such devices can operate on solar and wind power, and be remotely programmed (via a cellular network) to take photos and send them to a server at given times. This project, which focuses on monitoring crowds of objects of interest, is expected to introduce “smart” imaging platforms that could be triggered and shoot high-quality photographs when “events of interest” occur. This project could make Australia both a world leader in video analytics and secure through on-line threat detection, and improve traffic control and agriculture.Read moreRead less
Multi-object Estimation for Live-Cell Microscopy. The objective of this project is to develop new tools for the inference of biological information from live-cell data to facilitate analysis of experiments and speed up discovery in cell biology. The new tools would provide reliable, consistent inference requiring no manual intervention and able to process large volumes of data in a timely manner. This would equip biologists with a vehicle that could move them closer to the goal of understanding ....Multi-object Estimation for Live-Cell Microscopy. The objective of this project is to develop new tools for the inference of biological information from live-cell data to facilitate analysis of experiments and speed up discovery in cell biology. The new tools would provide reliable, consistent inference requiring no manual intervention and able to process large volumes of data in a timely manner. This would equip biologists with a vehicle that could move them closer to the goal of understanding the mechanism behind biological processes.Read moreRead less