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.
Extraction of gold from thiosulfate leach liquors using selective magnetic ion exchange (MIEX) resins. Cyanide processes used for gold leaching can cause severe environmental problems. This proposal studies the use of thiosulfate as an alternative, concentrating on the design and synthesis of new functionalised magnetic ion-exchange resins, which will act as selective adsorbents for the gold thiosulfate complex and thereby facilitate the implementation of this efficient, low environmental impact ....Extraction of gold from thiosulfate leach liquors using selective magnetic ion exchange (MIEX) resins. Cyanide processes used for gold leaching can cause severe environmental problems. This proposal studies the use of thiosulfate as an alternative, concentrating on the design and synthesis of new functionalised magnetic ion-exchange resins, which will act as selective adsorbents for the gold thiosulfate complex and thereby facilitate the implementation of this efficient, low environmental impact process. Since the leaching is typically applied to ores rich in copper, resins for the recovery of copper will also be designed. Laboratory proving trials will be conducted and successful candidates will be considered for future commercialisation of a Resin-in-Pulp leaching and recovery process.Read moreRead less
Synthetic phenazines for enhanced biogas production from renewable and non-renewable resources. Methane (biogas) has a large role to play in meeting the energy needs of the human race globally whilst reducing greenhouse gas emissions. Microbial communities are responsible for biogas production from non-renewable (coal) and renewable (food waste) resources. This project seeks to: increase biogas yields by redirecting electron flow towards biogas producing microbes using electrochemically active p ....Synthetic phenazines for enhanced biogas production from renewable and non-renewable resources. Methane (biogas) has a large role to play in meeting the energy needs of the human race globally whilst reducing greenhouse gas emissions. Microbial communities are responsible for biogas production from non-renewable (coal) and renewable (food waste) resources. This project seeks to: increase biogas yields by redirecting electron flow towards biogas producing microbes using electrochemically active phenazines; understand the molecular mechanism by which phenazines increase biogas yields; and, assess the environmental consequence of phenazine application to coal seam gas production and anaerobic digestion of food waste. Phenazines are likely to emerge as a safe and cost-effective technology for improved biogas generation.Read moreRead less
Individual, social and physical environmental influences on children's active transport and independent mobility. Childhood obesity is likely to have significant economic and social impacts on Australian society. Preventing further increases in this disease is crucial, particularly among children at high risk such as those living in rural or disadvantaged areas. The promotion of behaviours such as active transport may have a significant benefit for public health; however little is known about wh ....Individual, social and physical environmental influences on children's active transport and independent mobility. Childhood obesity is likely to have significant economic and social impacts on Australian society. Preventing further increases in this disease is crucial, particularly among children at high risk such as those living in rural or disadvantaged areas. The promotion of behaviours such as active transport may have a significant benefit for public health; however little is known about what influences active transport among children in rural or disadvantaged areas. This study will identify important factors influencing active transport and will directly inform strategies aiming to promote health and wellbeing, thereby creating a healthier generation of Australian children.Read moreRead less
Three-dimensional Bayesian Modelling of Geological and Geophysical data. The project aims to develop technologies enabling rapid informed decision-making related to the management of natural resources, including critical metals, copper and water. This new technology will support a greener future, securing our energy future, our access to clean water and reduce the mining footprint. Expected outcomes include an enhanced capability in interoperable, integrated three-dimensional geological and geop ....Three-dimensional Bayesian Modelling of Geological and Geophysical data. The project aims to develop technologies enabling rapid informed decision-making related to the management of natural resources, including critical metals, copper and water. This new technology will support a greener future, securing our energy future, our access to clean water and reduce the mining footprint. Expected outcomes include an enhanced capability in interoperable, integrated three-dimensional geological and geophysical modelling in order to predictively characterise sub-surface geology. The outcome will be an open-source forecasting dashboard enabling decision making while considering underlying risk related to resource extractions and management with significant benefits to the Australian society (lower emissions, clean water).Read moreRead less
Community Engagement for Productive Ageing: Models to support rural healthy ageing through the maintenance of community involvement and contribution. Governments at all levels are concerned about the looming social and economic challenges flowing from an ageing population. At present, ageing services are largely focussed on caring for the frail dependent aged. Yet, ultimately, the key to meeting the ageing challenge will lie in how successful we are in supporting our healthy independent aged to ....Community Engagement for Productive Ageing: Models to support rural healthy ageing through the maintenance of community involvement and contribution. Governments at all levels are concerned about the looming social and economic challenges flowing from an ageing population. At present, ageing services are largely focussed on caring for the frail dependent aged. Yet, ultimately, the key to meeting the ageing challenge will lie in how successful we are in supporting our healthy independent aged to stay contributing and productive members of their community. By developing evidence-based interventions that focus on preventing social disengagement before it occurs, the project provides a cost effective approach to ensuring that Australia's rapidly growing aged cohort remain social assets and do not become social burdens.Read moreRead less
Critical windows: understanding changes in eating and physical activity over the transition from secondary school to young adulthood. This project will explain changes in eating, physical activity and sedentary behaviour during the critical period of transition from secondary school to young adulthood. It will provide important information on how we can assist adolescents to maintain a healthy lifestyle over a time characterised by several major life changes.
The effects of maternal attachment, marital satisfaction and sensitivity to infants on infants attachment and adjustment: A longitudinal-structural equation study. This study will examine how family and attachment factors effect the adjustment of infant at 24 months of age. A longitudinal study, using structural equation method, will examine how maternal attachment and marital satisfaction when infants are 4 months of age will effect maternal parenting behaviors two months later, and how all thr ....The effects of maternal attachment, marital satisfaction and sensitivity to infants on infants attachment and adjustment: A longitudinal-structural equation study. This study will examine how family and attachment factors effect the adjustment of infant at 24 months of age. A longitudinal study, using structural equation method, will examine how maternal attachment and marital satisfaction when infants are 4 months of age will effect maternal parenting behaviors two months later, and how all three of these measures will effect infant attachment 6 months later. It will then examine how all four of these measures will effect the adjustment of infants 12 months later. The study will have important implications for early intervention and prevention of psychological problems in infants and children.Read moreRead less
Epidemiologic and economic approaches to reduce the burden of depression and related chronic diseases in the workforce. Employers and governments alike are increasingly recognising that mental health impacts productivity, but many employers remain uninformed about the magnitude of the productivity consequences and what they can do about it. The ongoing individual and economic burden from depressive and anxiety disorders among working adults necessitates multi-disciplinary solutions. This series ....Epidemiologic and economic approaches to reduce the burden of depression and related chronic diseases in the workforce. Employers and governments alike are increasingly recognising that mental health impacts productivity, but many employers remain uninformed about the magnitude of the productivity consequences and what they can do about it. The ongoing individual and economic burden from depressive and anxiety disorders among working adults necessitates multi-disciplinary solutions. This series of studies will provide nationally and internationally significant new data to both inform understanding of the magnitude of the problem, and to provide cost-effective solutions to addressing it. Findings will directly inform workplace mental health promotion and prevention activities and be usable by employers, clinicians, and governments.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE220100265
Funder
Australian Research Council
Funding Amount
$417,000.00
Summary
A closed-loop human–agent learning framework to enhance decision making. This project aims to design a foundational human–agent learning framework to augment the decision making process, using reinforcement and closed-loop mechanisms to enable symbiosis between a human and an artificial-intelligence agent. It envisages significant new technologies to promote controllability and efficient and safe exploration of an environment for decision actions – drastically boosting learning effectiveness and ....A closed-loop human–agent learning framework to enhance decision making. This project aims to design a foundational human–agent learning framework to augment the decision making process, using reinforcement and closed-loop mechanisms to enable symbiosis between a human and an artificial-intelligence agent. It envisages significant new technologies to promote controllability and efficient and safe exploration of an environment for decision actions – drastically boosting learning effectiveness and interpretability in decision making. Expected outcomes will benefit national cybersecurity by improving our understanding of vulnerabilities and threats involving decision actions, and by ensuring that human feedback and evaluations can help prevent catastrophic events in explorations of dynamic and complex environments.Read moreRead less