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
New methods for integrating population structure and stochasticity into models of disease dynamics. Epidemics, such as the 2007 equine 'flu outbreak and 2009 swine 'flu pandemic, highlight the need to make informed decisive responses. This project will develop new methods that incorporate two important aspects of disease dynamics---host structure and chance---into mathematical models, and determine their impact in terms of controlling infections.
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