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ARC Research Network in Enterprise Information Infrastructure. EII targets consolidated research towards the comprehensive development & establishment of advanced information infrastructures. Its prime purpose is to provide a forum for intellectual exchange by diverse yet complementary research groups, to address the fundamental research problems faced by scientific & business communities when dealing with deployment of information technology to globally distributed, and data intensive environme ....ARC Research Network in Enterprise Information Infrastructure. EII targets consolidated research towards the comprehensive development & establishment of advanced information infrastructures. Its prime purpose is to provide a forum for intellectual exchange by diverse yet complementary research groups, to address the fundamental research problems faced by scientific & business communities when dealing with deployment of information technology to globally distributed, and data intensive environments. EII will address 3 tightly coupled research themes: Ability to interoperate across existing heterogenous platforms & applications; Efficient processing of very large data sets; Technology adoption & impact. Generic results will be applicable to e-science and large business information systems installations.Read moreRead less
An efficient approach to the computation of bacterial evolutionary distance. This project aims to apply advanced mathematical tools to improve our understanding of bacterial evolution. Bacteria account for as much total Earth biomass as all plant species put together, and have an unparalleled ability to evolve quickly and adapt to changing environments. Unfortunately, the existing mathematical models used to model bacterial evolution are generally computationally intractable. This project will r ....An efficient approach to the computation of bacterial evolutionary distance. This project aims to apply advanced mathematical tools to improve our understanding of bacterial evolution. Bacteria account for as much total Earth biomass as all plant species put together, and have an unparalleled ability to evolve quickly and adapt to changing environments. Unfortunately, the existing mathematical models used to model bacterial evolution are generally computationally intractable. This project will rectify this situation by using representation theory to transform combinatorial group theory into linear algebra, allowing for the application of advanced methods of numeric approximation. This will provide a better understanding of how bacteria evolve and improve our ability to manage their impact.Read moreRead less
Ring constructions and algorithms for enhancing performance of BCH codes. BCH codes form a major class of codes used in modern communication systems. The aim of this project is to enhance the efficiency of this class of codes by combining them in constructions enabling correction of deletion and insertion errors, and develop efficient implementations of encoding and decoding algorithms incorporating soft decision methods for enhanced error correction. Significance of the project is explained by ....Ring constructions and algorithms for enhancing performance of BCH codes. BCH codes form a major class of codes used in modern communication systems. The aim of this project is to enhance the efficiency of this class of codes by combining them in constructions enabling correction of deletion and insertion errors, and develop efficient implementations of encoding and decoding algorithms incorporating soft decision methods for enhanced error correction. Significance of the project is explained by the role of fast, secure and reliable communications in modern information and communication technology. Expected outcomes include new efficient algorithms and commercial modules available for symbolic computation systems with applications in telecommunications industry.
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Axon Degeneration And Axon Protection In CNS Disease And Injury
Funder
National Health and Medical Research Council
Funding Amount
$389,120.00
Summary
One of the major reasons for the clinical symptoms of neurological diseases such as Alzheimer’s disease and Motor Neuron Disease is the loss of connections between the nerve cells. Nerve cells are connected by specialized processes called axons. In disease these processes can breakdown. This project specifically looks at how axons break down in disease and tests therapeutic strategies to protect them.
Dissecting The Pseudoexfoliation Syndrome With Complementary Genetic, Proteomic And Biophysical Strategies
Funder
National Health and Medical Research Council
Funding Amount
$490,352.00
Summary
Pseudoexfoliation syndrome (PEX) is an eye condition in which flaky material deposits in the eye, greatly increasing the risk of cataract and glaucoma which can lead to blindness. PEX is also associated with heart disease, strokes and aneurysms. Cataract surgery in PEX patients has a higher rate of complications. In this project we will determine the nature of PEX material and why it forms. This knowlege will facilitate better diagnosis and treatment of PEX preventing associated blindness.
Epigenetic Biomarker Discovery For Cardiovascular Disease Risk Stratification Of Women Following Preeclampsia
Funder
National Health and Medical Research Council
Funding Amount
$1,275,101.00
Summary
Those women whom have suffered from severe complications during pregnancy have an increased risk of developing heart disease. This increased risk may be due to epigenetic changes during pregnancy that alter the expression of specific genes. These epigenetic changes persist after birth and increase heart disease risk for these women. This project seeks to evaluate those epigenetic changes associated with severe pregnancy complications predicting heart disease in a large group of Australian women.
The Role Of Central Haemodynamics In Type 2 Diabetes Mellitus-related Brain Disease
Funder
National Health and Medical Research Council
Funding Amount
$899,704.00
Summary
Type 2 Diabetes Mellitus is associated with stiffening of major blood vessels which may allow the transmission of harmful pressure to the small vessels of the brain. This may in turn be responsible for damage to brain cells and a greater risk of dementia. This study will use state-of-the art techniques to test this theory. If true, it may open opportunities to reduce the risk of brain disease in diabetes by using therapies to reduce arterial stiffening.
The Role Of Excitotoxicity In Mediating Distal Axonal Degneration In ALS
Funder
National Health and Medical Research Council
Funding Amount
$392,952.00
Summary
Amyotrophic lateral sclerosis (ALS), the major cause of motor neuron disease, is a devastating diseasse for which there is no cure. There have been significant advances in understanding the pathology of ALS yet we still don’t know what causes the dying back of spinal motor neurons. We have new evidence that suggests that ALS may, in part, be caused by excitotoxcity - or over stimulation - of neurons in the spinal cord. We will follow this lead using a range of cutting edge experimental models.
The Tasmanian Healthy Brain Project: A Longitudinal Intervention Study To Reduce The Risk Of Ageing-related Cognitive Decline And Dementia
Funder
National Health and Medical Research Council
Funding Amount
$878,792.00
Summary
It has been proposed that engagement in purposeful complex mental stimulation provides protection against dementia. The Tasmanian Healthy Brain Project (THBP) is a unique, large-scale prospective trial that examines whether university-level study in older adult population reduces ageing-related cognitive decline and risk of dementia. This project will also examine how an individual’s genetic profile may influence the potential benefits of complex mental stimulation as well as risk of dementia.
Identifying Rare Genetic Variants Conferring Susceptibility To Multiple Sclerosis
Funder
National Health and Medical Research Council
Funding Amount
$293,898.00
Summary
Recently there has been success in identifying common genetic variants that confer susceptibility to multiple sclerosis. The variants that have been discovered so far have modest effects on risk of disease, and only explain a small proportion of familial aggregation of disease. In this study we aim to identify rarer genetic variants that have stronger effects on risk of disease, using new statistical methods and new methods to sequence very large amounts of DNA.