The Molecular Basis of Nanoparticle Resistance in Mixed-Species Biofilm. The project aims to understand how the globally significant mixed-species growth of pathogens develop resistance to silver nanoparticle, currently one of the most important alternative antimicrobials to antibiotics. The integrated research is to elucidate, for the first time, the nanoparticle multi-targeting toxicity on mixed-species bacterial community and how, in turn, the bacteria activate their cell-to-cell signalling f ....The Molecular Basis of Nanoparticle Resistance in Mixed-Species Biofilm. The project aims to understand how the globally significant mixed-species growth of pathogens develop resistance to silver nanoparticle, currently one of the most important alternative antimicrobials to antibiotics. The integrated research is to elucidate, for the first time, the nanoparticle multi-targeting toxicity on mixed-species bacterial community and how, in turn, the bacteria activate their cell-to-cell signalling for a synergistic defence to adapt to the nanoparticle toxicity. The pioneering knowledge is the foundation for technologies targeting the interspecies metabolite cross-talking to overcome the resistance phenomena, ensuring a long-term efficacy of the alternative antimicrobial on the difficult-to-control pathogenic growth.Read moreRead less
How we remember and misremember traumatic experiences. The project addresses a significant and important problem: the role of memory distortion in Post Traumatic Stress Disorder (PTSD), a global disorder with significant personal, societal and economic costs. The aim of this project is to empirically investigate the extent, causes and triggering conditions of errors in memory for traumatic experiences; particularly exaggeration of these memories, which has been linked to poor psychological adjus ....How we remember and misremember traumatic experiences. The project addresses a significant and important problem: the role of memory distortion in Post Traumatic Stress Disorder (PTSD), a global disorder with significant personal, societal and economic costs. The aim of this project is to empirically investigate the extent, causes and triggering conditions of errors in memory for traumatic experiences; particularly exaggeration of these memories, which has been linked to poor psychological adjustment. Understanding how people exposed to trauma remember, and misremember, aspects of their experiences in ways that influence their recovery is both theoretically and practically important. Indeed, it will help us refine theory and identify possible points of intervention for PTSD sufferers.Read moreRead less
Developing mathematical models and statistical methods to understand the dynamics of infectious diseases: stochasticity, structure and inference. Infectious diseases remain a major contributor to mortality and illness worldwide. The potential for future severe pandemics also continues to present a substantial threat to our health and well-being. Mathematics and statistics are increasingly becoming part of the arsenal used by governments to combat the invasion and spread of infectious diseases. I ....Developing mathematical models and statistical methods to understand the dynamics of infectious diseases: stochasticity, structure and inference. Infectious diseases remain a major contributor to mortality and illness worldwide. The potential for future severe pandemics also continues to present a substantial threat to our health and well-being. Mathematics and statistics are increasingly becoming part of the arsenal used by governments to combat the invasion and spread of infectious diseases. In such work, three themes have emerged as having the potential to revolutionise the modelling of infectious diseases: stochasticity, structure (both age and spatial), and inference. This project will develop state-of-the-art techniques, at the interface of these themes, of critical importance to understanding the dynamics of infectious diseases.Read moreRead less
Non-linear modelling for predicting patient presentation rates for mass-gatherings. Mass-gatherings are events where crowds gather. Access to health care at these events is critical, though difficult. Complex interrelationships exist between characteristics of events and presenting patient profiles. To prevent overwhelming local hospital and emergency services it is important to accurately predict patient volume. A predictive model constructed through linear modelling has been widely used. Key f ....Non-linear modelling for predicting patient presentation rates for mass-gatherings. Mass-gatherings are events where crowds gather. Access to health care at these events is critical, though difficult. Complex interrelationships exist between characteristics of events and presenting patient profiles. To prevent overwhelming local hospital and emergency services it is important to accurately predict patient volume. A predictive model constructed through linear modelling has been widely used. Key features affecting patient presentations are non-linear in character and non-linear modelling may provide more accurate patient predictive models. This project provides prospective analysis of data to develop a non-linear predictive model.Read moreRead less
The unfolding story of the 2009 Adelaide heatwave: risk factors for mortality and morbidity. This project will conduct a case control study in Adelaide to explore the risk factors of extra health burden related to the 2009 heatwave. Given the prediction of more extreme heat events, this study will provide important information for policy makers and service providers to assist in the development of more resilient communities to climate change.
Discovery Early Career Researcher Award - Grant ID: DE130101734
Funder
Australian Research Council
Funding Amount
$371,622.00
Summary
Should I stay or should I go? Increasing natural disaster preparedness and survival through animal attachment. This project will determine the extent to which people's willingness to risk their lives to save animals during natural disasters could be reinterpreted as a protective factor by motivating preparedness. This information will be used to create effective public health campaigns designed to increase natural disaster preparedness and save lives.