Stimulant laxatives are widely used and usually very effective in the short term, but how they work is very poorly understood. Our recent work has shown that they selectively excite sensory pathways from the colon which then trigger defaecation. This points to an undiscovered mechanism that potently affects colonic sensation and motility. This is likely to be a target for new treatments for other colonic disorders such as Irritable bowel syndrome and faecal incontinence.
Looking Forward - Moving Forward Project: Transforming Systems To Improve Mental Health And Drug And Alcohol Outcomes For Aboriginal Peoples
Funder
National Health and Medical Research Council
Funding Amount
$1,304,508.00
Summary
Despite the clear need for support, Aboriginal people do not access mental health and drug and alcohol services at a level that corresponds with their need. We need to know how services can respond appropriately to this high-risk group of people. This project brings together Perth-based services, researchers and local Aboriginal Elders to implement and evaluate a framework for organisational change that will transform the way in which services respond to Aboriginal people.
Development And Evaluation Of Novel Anti-inflammatory Products Derived From An Indigenous Medicinal Plant
Funder
National Health and Medical Research Council
Funding Amount
$276,598.00
Summary
This collaborative project between researchers at the University of South Australia and Indigenous traditional owners from Northern Kaanju homelands (Cape York Peninsula, Qld) will develop and evaluate products derived from the Northern Kaanju medicinal plant Dodonaea polyandra. Extracts of the plant and novel compounds isolated from it have anti-inflammatory activity. These have the potential to be used in inflammatory diseases such as dermatitis, arthritis and inflammatory bowel disease.
The emotional construction of self representation. This project develops and defends the novel idea that self representation is an artefact of emotional processing. The account will involve case studies of psychiatric disorder characterised by developmental or acquired problems of self representation such as depersonalisation disorder and personality disorders.
ARC Communications Research Network. Building on a strong platform of existing research excellence, the Aim of the Network is to facilitate nation-wide collaborative research, promoting four intersecting research Themes: Mobile and Wireless Communications, Rural Communications, Broadband and Optical Networks, and Fundamentals of Emerging Media. Each Theme is formulated to drive multidisciplinary, innovative research as well as inspire new collaborative initiatives. Four Programs encapsulate the ....ARC Communications Research Network. Building on a strong platform of existing research excellence, the Aim of the Network is to facilitate nation-wide collaborative research, promoting four intersecting research Themes: Mobile and Wireless Communications, Rural Communications, Broadband and Optical Networks, and Fundamentals of Emerging Media. Each Theme is formulated to drive multidisciplinary, innovative research as well as inspire new collaborative initiatives. Four Programs encapsulate the core activities of the Network: Researcher Mobility, Workshops and Conferences, Postgraduate Education, and Knowledge Management Systems. The Network is expected to add significant value to pre-existing investments and raise the profile of Australian telecommunications research.Read moreRead less
The ownership of minds. This project aims to research the awareness of a conscious state as the subject's own. This is at the heart of a perennial debate about consciousness: whether we are aware of our conscious states as our own, or are merely aware of their occurrence. The project will collaborate internationally and across disciplines and institutions to develop a conceptual distinction between two components of consciousness. It will also provide an analysis of the nature of three mental di ....The ownership of minds. This project aims to research the awareness of a conscious state as the subject's own. This is at the heart of a perennial debate about consciousness: whether we are aware of our conscious states as our own, or are merely aware of their occurrence. The project will collaborate internationally and across disciplines and institutions to develop a conceptual distinction between two components of consciousness. It will also provide an analysis of the nature of three mental disorders in which the two components seem to come apart. These outcomes are expected to constitute a significant innovation in the study of consciousness and, more generally, in the philosophy of mind.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE120101161
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Compressive sensing based probabilistic graphical models (PGM). The aim of the project is to develop fast, large scale probabilistic graphical models (PGM) learning and inference methods. The resulting system will be able to process large scale PGMs on a standard PC, and will be easily extendable to computer clustering for larger scale PGMs requiring higher precision.
Efficient causal discovery from observational data. Discovering cause-effect relationships is the ultimate goal for many applications. Randomised control trial is the gold standard for discovering causal relationships. However, conducting such trials is impossible in many cases due to cost and/or ethical concerns. In contrast, a large amount of data has been accumulated in all areas. It is desirable to infer causal relationships from data directly and automatically. This project aims to develop ....Efficient causal discovery from observational data. Discovering cause-effect relationships is the ultimate goal for many applications. Randomised control trial is the gold standard for discovering causal relationships. However, conducting such trials is impossible in many cases due to cost and/or ethical concerns. In contrast, a large amount of data has been accumulated in all areas. It is desirable to infer causal relationships from data directly and automatically. This project aims to develop fast and scalable data mining methods for identifying causal relationships from large and/or high dimensional data sets. The developed methods will mainly be evaluated in real world biological applications. The research outcomes will be useful in many areas for causal reasoning and decision making.Read moreRead less
Fairness aware data mining for discrimination free decision-making. This project aims to develop data mining methods to detect algorithmic discriminations and to build fair decision models. It expects to provide techniques for regulatory organisations to detect discriminations in algorithmic decisions, and for various companies and organisations to build fair decision systems. Expected outcomes are novel and accurate methods for discrimination detection, practical and versatile techniques for fa ....Fairness aware data mining for discrimination free decision-making. This project aims to develop data mining methods to detect algorithmic discriminations and to build fair decision models. It expects to provide techniques for regulatory organisations to detect discriminations in algorithmic decisions, and for various companies and organisations to build fair decision systems. Expected outcomes are novel and accurate methods for discrimination detection, practical and versatile techniques for fair decision model building, and improved understanding of the relationships between privacy preservation and discrimination prevention to enable new techniques to achieve both goals. The developed techniques enable society to tackle ethical challenges in the big data era where many decisions are analytics based. Read moreRead less
Developing novel data mining methods to reveal complex group relationships from heterogeneous data. This project aims to develop novel and effective data mining methods that will enable us to unravel the relationships between multiple, rather than individual, components of complex systems (such as genes, gene regulators and cancer), which is crucial to understanding how such systems work. Potential applications for such methods are extensive.