Clinical And Psychosocial Changes Over Late Childhood And Adolescence And Early Life Determinants Of Long Term Clinical Outcomes In Cystic Fibrosis
Funder
National Health and Medical Research Council
Funding Amount
$1,135,570.00
Summary
Cystic fibrosis is the most common life shortening inherited disease in Caucasians. Lung damage starts in infancy and lung function falls most rapidly in adolescence although why and how this happens and early life determinants are not known. This study takes advantage of a previous study that monitored young children from 3 months to 5 years of life and follows them closely through early adolescence to investigate the protective and risk factors for falling lung function.
Burden Of Rheumatic Heart Disease (RHD) And Impact Of Prevention Strategies: Comprehensive Evidence To Drive The RHD Endgame
Funder
National Health and Medical Research Council
Funding Amount
$960,655.00
Summary
Rheumatic heart disease is chronic damage to the heart valves caused by repeated bouts of acute rheumatic fever. Both are preventable, yet rates among Indigenous Australians are of the highest recorded. We propose to undertake the first multi-jurisdictional study of these conditions to determine trends in occurrence and evaluate the impact of existing interventions in Australia. Findings will be used to inform the development of a roadmap to remove RHD as a public health problem in Australia.
Impact Of Health Policy On The Delivery Of Dental Services And Child Oral Health Outcomes
Funder
National Health and Medical Research Council
Funding Amount
$1,304,799.00
Summary
This project will study the use of dental services by children and adolescents in Australia and how use relates to oral health outcomes. Variation in the support for the use of private dentists and the organisation and delivery of school dental services will be compared both within and across all states and territories so as to inform policy discussions on how to best improve child oral health.
Brain Repair Following Stroke: The Role Of Npas4, A Neural-specific Transcription Factor
Funder
National Health and Medical Research Council
Funding Amount
$611,053.00
Summary
Stroke is the #1 cause of adult disability in Australia and #2 cause of death. About 60,000 Australians suffer a stroke each year while about 250,000 live with the disabilities of stroke, costing over $2B/year. The Queen Elizabeth Hospital and University of Adelaide will study why the Npas4 gene switches on after stroke and the role it plays in brain repair. Future health benefits may be tests to help improve stroke outcome in patients and therapy to decrease loss of brain cells after stroke.
Learning how people read: Models, brains, big data and maths. Aims: This project aims to understand how people read. We will use novel mathematical methods, experimentation, brain imaging and computational modelling to adjudicate between model predictions.
Significance: This project expects to develop methods to understand and test important aspects of reading.
Expected outcomes: Expected outcomes are the development of novel methods for understanding complex models and the collection of data t ....Learning how people read: Models, brains, big data and maths. Aims: This project aims to understand how people read. We will use novel mathematical methods, experimentation, brain imaging and computational modelling to adjudicate between model predictions.
Significance: This project expects to develop methods to understand and test important aspects of reading.
Expected outcomes: Expected outcomes are the development of novel methods for understanding complex models and the collection of data that can extend and falsify current models of reading.
Benefits: These developments will significantly increase our understanding of how people read and what causes dyslexia. This work will also provide new ways to evaluate complex computational psychological models.Read moreRead less
How are beliefs altered by data? Robust Bayesian models for human inductive learning. This project applies state of the art mathematical models to study how people think and reason, and how we can make good guesses about the future. The goal is to understand how the human mind can operate so effectively in real environments, when even the most powerful computers struggle to handle the complexities of everyday learning problems.
Learning and choosing in a complex world. How do people make choices in a complex world? Making good choices requires expertise, but people must often forego rewards in order to acquire this knowledge. This is the essence of an "explore-exploit dilemma": to maximise rewards across a long time frame, people must take the time to explore and learn now. Empirically, this project aims to unify much of the existing psychological literature and extend it to cover richer, more complex problems. Theoret ....Learning and choosing in a complex world. How do people make choices in a complex world? Making good choices requires expertise, but people must often forego rewards in order to acquire this knowledge. This is the essence of an "explore-exploit dilemma": to maximise rewards across a long time frame, people must take the time to explore and learn now. Empirically, this project aims to unify much of the existing psychological literature and extend it to cover richer, more complex problems. Theoretically, the project aims to use tools from machine learning to compare human decision making to optimal planning models.Read moreRead less
The prediction of sleep/wake behaviour based on physiological and social factors. The prevalence of shiftwork has increased in Australia over the last few decades. Shiftworkers obtain less sleep, have greater difficulty maintaining good relationships, have poorer health, and are more likely to be injured at work than others. Using the largest dataset of its kind, we will substantially contribute to understanding the relationships between work hours, sleep, performance and safety. Ultimately, the ....The prediction of sleep/wake behaviour based on physiological and social factors. The prevalence of shiftwork has increased in Australia over the last few decades. Shiftworkers obtain less sleep, have greater difficulty maintaining good relationships, have poorer health, and are more likely to be injured at work than others. Using the largest dataset of its kind, we will substantially contribute to understanding the relationships between work hours, sleep, performance and safety. Ultimately, the project will answer a question critical to workplace safety - how much time off between shifts is needed to be alert and safe at work? The project will also produce tools to help industry design fatigue-friendly rosters, improving the safety, productivity and general well-being of shiftworkers in Australia and overseas.Read moreRead less
Using large scale modelling to understand reading development and dyslexia. This project aims to construct a computational model of reading that makes quantitative predictions about reading behaviour and dyslexia. It will test theories of reading development and dyslexia based on what they predict in terms of reading performance, predictions which many theories of dyslexia do not make. The model will be in English, French and Italian, which offer rich and constraining data to test the model. The ....Using large scale modelling to understand reading development and dyslexia. This project aims to construct a computational model of reading that makes quantitative predictions about reading behaviour and dyslexia. It will test theories of reading development and dyslexia based on what they predict in terms of reading performance, predictions which many theories of dyslexia do not make. The model will be in English, French and Italian, which offer rich and constraining data to test the model. The project is expected to explain the link between reading performance and underlying influences and why dyslexia manifests differently in different languages.Read moreRead less
Human Decision-Making Processes and Outcomes in the Oil and Gas Industry. A new theoretical framework, including a new Decision Taxonomy and the development of a new measure of decision quality, will be used to underpin a study of decision processes and outcomes in the oil & gas industry, and to explore the relationship between them. Processes and outcomes will be evaluated in both a controlled laboratory setting that replicates the characteristics of real decision environments, and by analysing ....Human Decision-Making Processes and Outcomes in the Oil and Gas Industry. A new theoretical framework, including a new Decision Taxonomy and the development of a new measure of decision quality, will be used to underpin a study of decision processes and outcomes in the oil & gas industry, and to explore the relationship between them. Processes and outcomes will be evaluated in both a controlled laboratory setting that replicates the characteristics of real decision environments, and by analysing actual historical decisions made in oil & gas and other industrial settings. If successful the results will ultimately lead to the safe, responsible and optimal performance of the oil & gas industry in particular, and for other industries with similar characteristics.
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