From The Synchrotron To The Clinic: Translation Of A Novel Functional Lung Imaging Technology
Funder
National Health and Medical Research Council
Funding Amount
$891,834.00
Summary
Our team has recently developed a synchrotron technology with a startling capacity for dynamic functional imaging that can act as a sensitive regional indicator of lung disease. We will demonstrate that this technology can be translated from the synchrotron to the lab and eventually the clinic. We will provide proof of this concept by the application of this technology to emphysema, asthma, lung cancer, cystic fibrosis lung disease and neonatal resuscitation.
Identification Of Glaucoma Susceptibility Variants By Exome Sequencing In Extended Pedigrees Showing Prior Evidence Of Gene Segregation.
Funder
National Health and Medical Research Council
Funding Amount
$694,002.00
Summary
Primary open angle glaucoma is a chronic eye disease and one of the leading causes of visual impairment and blindness worldwide. This study will use cutting-edge genetic methods to look at the entire coding component of the human genome (exome) in 271 individuals from large glaucoma families. Our previous studies have shown that these families carry genetic variants that increase disease risk. In this investigation we aim to identify these genes, with the hope they may offer novel targets for tr ....Primary open angle glaucoma is a chronic eye disease and one of the leading causes of visual impairment and blindness worldwide. This study will use cutting-edge genetic methods to look at the entire coding component of the human genome (exome) in 271 individuals from large glaucoma families. Our previous studies have shown that these families carry genetic variants that increase disease risk. In this investigation we aim to identify these genes, with the hope they may offer novel targets for treatment or diagnosis.Read moreRead less
Visual analytics for massive multivariate networks. Visual analytics for massive multivariate networks. This project aims to create methods to visually analyse massive multivariate networks. The amount of network data available has exploded in recent years: software systems, social networks and biological systems have millions of nodes and billions of edges with multivariate attributes. Their size and complexity makes these data sets hard to exploit. More efficient ways to understand the data ar ....Visual analytics for massive multivariate networks. Visual analytics for massive multivariate networks. This project aims to create methods to visually analyse massive multivariate networks. The amount of network data available has exploded in recent years: software systems, social networks and biological systems have millions of nodes and billions of edges with multivariate attributes. Their size and complexity makes these data sets hard to exploit. More efficient ways to understand the data are needed. This project will design, implement and evaluate visualisation methods for massive multivariate network data sets. This research is expected to be used by Australian software development, biotechnology and security companies to exploit their data.Read moreRead less
Using data mining methods to remove uncertainties in sensor data streams. This project will develop key techniques for removing uncertainties in sensor data streams and thus improve the monitoring quality of sensor networks. The expected outcomes will benefit Australia by enabling improved, lower-cost monitoring of natural resources and management of stock raising.
Early Career Industry Fellowships - Grant ID: IE230100048
Funder
Australian Research Council
Funding Amount
$466,097.00
Summary
Ammonium-selective membranes to shift water industry into circular economy. The project aims to develop ammonium-selective membranes which are urgently needed in Australian key industries for sustainable ammonia recovery. The project expects to construct the membranes to achieve desirable pore size and surface functionality for fast and selective ammonia transport. The developed membranes should make ammonia recovery from wastewater more effective and sustainable, leading to the healthy waterway ....Ammonium-selective membranes to shift water industry into circular economy. The project aims to develop ammonium-selective membranes which are urgently needed in Australian key industries for sustainable ammonia recovery. The project expects to construct the membranes to achieve desirable pore size and surface functionality for fast and selective ammonia transport. The developed membranes should make ammonia recovery from wastewater more effective and sustainable, leading to the healthy waterway and reduced energy for both ammonia production and removal. Recovered ammonia expects to produce valuable products, supporting agriculture industry and hydrogen economy. The developed membranes should enable water industry's shift into circular economy, providing significant economic and environmental benefits to Australia.Read moreRead less
Advanced matrix-analytic methods with applications. Over the last twenty-five years, matrix-analytic methods have proved to be very successful in formulating and analysing certain classes of stochastic models. Motivated by applications, this project will investigate more advanced matrix-analytic methods than have hitherto been studied.
Sustainable fiscal federalism and reform of the GST distribution system. The primary source of funds for Australian States and Territories is GST revenue distributed by the Commonwealth using an equalisation formula that has proved to be politically unsustainable and in recent times manifestly inadequate to provide the revenue needed in response to crises and natural disasters. A tipping point has been reached and reform is urgently needed. Drawing on international experience with GST distributi ....Sustainable fiscal federalism and reform of the GST distribution system. The primary source of funds for Australian States and Territories is GST revenue distributed by the Commonwealth using an equalisation formula that has proved to be politically unsustainable and in recent times manifestly inadequate to provide the revenue needed in response to crises and natural disasters. A tipping point has been reached and reform is urgently needed. Drawing on international experience with GST distributions specifically and fiscal federalism more generally, the project aims to develop a reform blueprint for a sustainable and equitable fiscal federalism regime in Australia that best aligns with Australia’s current and long-term fiscal needs.Read moreRead less
Change Detection in Causal Relationships and Measurement of Systemic Risk. Empirical measures of interconnectedness between financial institutions based on tests of Granger causality are currently used in detecting systemic risk. However, researchers need to define periods of calm and stress exogenously in order to implement these tests appropriately. This project aims to develop a new procedure to identify changes in causal relationships and the timing of these changes. The new approach has the ....Change Detection in Causal Relationships and Measurement of Systemic Risk. Empirical measures of interconnectedness between financial institutions based on tests of Granger causality are currently used in detecting systemic risk. However, researchers need to define periods of calm and stress exogenously in order to implement these tests appropriately. This project aims to develop a new procedure to identify changes in causal relationships and the timing of these changes. The new approach has the potential to be a significant improvement in the real-time identification of emerging turmoil in financial markets and provide an improved method for the detection of systemic risk. The new test procedure will be implemented using data for financial and non-financial institutions across Europe, the US and Australia.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE200100692
Funder
Australian Research Council
Funding Amount
$417,842.00
Summary
Stopping in the Real World: Cognitive Architectures for Selective Stopping. Response inhibition is the ability to stop actions that are in progress but become no longer appropriate, such as halting an order to launch a missile strike when a civilian vehicle is detected. The project focuses on people’s ability to either stop all planned actions or selectively stop some actions while allowing others to occur. The goal is to develop methodology to reliably measure the time it takes to stop actions, ....Stopping in the Real World: Cognitive Architectures for Selective Stopping. Response inhibition is the ability to stop actions that are in progress but become no longer appropriate, such as halting an order to launch a missile strike when a civilian vehicle is detected. The project focuses on people’s ability to either stop all planned actions or selectively stop some actions while allowing others to occur. The goal is to develop methodology to reliably measure the time it takes to stop actions, investigate the psychological mechanisms involved in stopping, and develop tools for defence-related personnel and job selection. The project provides significant benefits by enabling the study of how response inhibition ensures that appropriate actions occur and how failures of inhibition result in inappropriate actions. Read moreRead less