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Engineering an environmentally-friendly metered dose inhaler. This project aims to deliver a novel simulation framework to accurately predict the behaviour of metered dose inhaler sprays using advanced numerical methods for flash-evaporating turbulent flows developed by the investigators. The project expects to generate new knowledge of the complex physics which occur in these devices through a first of its kind combination of unsteady non-equilibrium thermodynamics, turbulence and spray models. ....Engineering an environmentally-friendly metered dose inhaler. This project aims to deliver a novel simulation framework to accurately predict the behaviour of metered dose inhaler sprays using advanced numerical methods for flash-evaporating turbulent flows developed by the investigators. The project expects to generate new knowledge of the complex physics which occur in these devices through a first of its kind combination of unsteady non-equilibrium thermodynamics, turbulence and spray models. Expected outcomes of this project include a novel ability to predict and optimise the performance of inhalers to suit environmentally-friendly replacement propellants. This will significantly benefit the pharmaceutical sector as it will accelerate the design of next-generation inhalers and propellants.Read moreRead less
Elucidating the roles of steroid receptors in mitochondria. This project aims to elucidate the roles of newly discovered steroid receptors in the functions of mitochondria. The project will characterise their impact on cellular respiration, oxidative stress, and the induction of inflammation. By defining these processes in the healthy state and in response to common environmental challenges of infection and smoke exposure, the project will characterise the fundamental biology of entirely new pro ....Elucidating the roles of steroid receptors in mitochondria. This project aims to elucidate the roles of newly discovered steroid receptors in the functions of mitochondria. The project will characterise their impact on cellular respiration, oxidative stress, and the induction of inflammation. By defining these processes in the healthy state and in response to common environmental challenges of infection and smoke exposure, the project will characterise the fundamental biology of entirely new processes of how normal body hormones and administered steroids may function. This may eventually lead to new and more effective ways to control inflammation that will have significant benefits to mammalian health and improve health care and agriculture outcomes.Read moreRead less
Adaptation of respiratory chemoreception: role of inhibitory neuropeptides. The project aims to investigate how the retrotrapezoid nucleus (RTN) is involved in respiratory adaptation to hypercapnia. Chemoreceptor neurons in the RTN are crucial for life however, the mechanisms that underlie their basal and stimulated activity, to control breathing, remain to be clarified. This project will investigate the role of galanin in RTN-mediated regulation of breathing. The project looks to determine inst ....Adaptation of respiratory chemoreception: role of inhibitory neuropeptides. The project aims to investigate how the retrotrapezoid nucleus (RTN) is involved in respiratory adaptation to hypercapnia. Chemoreceptor neurons in the RTN are crucial for life however, the mechanisms that underlie their basal and stimulated activity, to control breathing, remain to be clarified. This project will investigate the role of galanin in RTN-mediated regulation of breathing. The project looks to determine instructive and multifunctional roles of peptidergic chemosensory neurons and their contribution to local inhibitory control of the respiratory network. New knowledge from the project may in the future assist translational research into respiratory disorders and lead to technological advances.Read moreRead less
Engineering better sprays for leaf coating: from drop impact to retention. This proposal aims to understand the performance of a unique rheological modifier that can enable an order of magnitude increase in coating efficiency for aerosol sprays while not affecting the quality of droplet formation during spraying. The effect occurs via a dispersed network of fibrous particles in water, providing a weak but useful ability to coat surfaces by responsively adjusting its structure. The material is ex ....Engineering better sprays for leaf coating: from drop impact to retention. This proposal aims to understand the performance of a unique rheological modifier that can enable an order of magnitude increase in coating efficiency for aerosol sprays while not affecting the quality of droplet formation during spraying. The effect occurs via a dispersed network of fibrous particles in water, providing a weak but useful ability to coat surfaces by responsively adjusting its structure. The material is expected to enable a broad array of applications, from agricultural treatments to nasal sprays, by exhibiting responsive behaviour at concentrations much lower than conventional modifiers require. The project will study the responsiveness of the system in single droplet, spray, and coating form as well as an active delivery system.Read moreRead less
Digitally-Integrated Smart Sensing of Diverse Airborne Grass Pollen Sources. Grass pollen is the main outdoor allergen source globally, triggering hayfever and asthma in up to 500 million people. With over 10,000 species, the influence of grass type, location and climate on pollen in the air is not yet known. This is a key issue since subtropical and temperate grasses differ in response to environmental factors. The project aims to use artificial intelligence on digital camera images to learn to ....Digitally-Integrated Smart Sensing of Diverse Airborne Grass Pollen Sources. Grass pollen is the main outdoor allergen source globally, triggering hayfever and asthma in up to 500 million people. With over 10,000 species, the influence of grass type, location and climate on pollen in the air is not yet known. This is a key issue since subtropical and temperate grasses differ in response to environmental factors. The project aims to use artificial intelligence on digital camera images to learn to see local grass flowers and integrate this with air sensors trained to detect grass pollen types. The expected outcomes are new capacities to track airborne grass pollen types. These outcomes can transform how pollen can be monitored to reduce the burden of allergies, and provide evidence of changing airborne pollen loads.
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High-resolution multiscale modelling of pandemics: COVID-19 and beyond. The project aims to develop high-resolution computational models for pandemic mitigation and control, focussing on the novel coronavirus and its emerging variants, and leveraging demographic, genomic and epidemiological data. It expects to rigorously compare multi-scale effects of complex vaccination and social distancing strategies and quantify optimal responses under the COVID-19 induced uncertainty. The intended outcomes ....High-resolution multiscale modelling of pandemics: COVID-19 and beyond. The project aims to develop high-resolution computational models for pandemic mitigation and control, focussing on the novel coronavirus and its emerging variants, and leveraging demographic, genomic and epidemiological data. It expects to rigorously compare multi-scale effects of complex vaccination and social distancing strategies and quantify optimal responses under the COVID-19 induced uncertainty. The intended outcomes include computational models of how the most infectious viral variants emerge and spread in presence of interventions, how to predict the outbreaks, and which are the most vulnerable communities. This should make a significant economic and social impact, improving population health while maintaining a resilient economy.Read moreRead less
Quantifying emergence and dynamics of foodborne epidemics in Australia. The project aims to greatly improve the accuracy and scope of computational epidemiological models predicting emergence and evolution of foodborne diseases in Australia. It expects to reveal key pathways for both biological evolution of microorganisms, and their spread though food supply chains and human interactions. The intended outcomes include discovering how the most dominant strains of foodborne infection emerge and se ....Quantifying emergence and dynamics of foodborne epidemics in Australia. The project aims to greatly improve the accuracy and scope of computational epidemiological models predicting emergence and evolution of foodborne diseases in Australia. It expects to reveal key pathways for both biological evolution of microorganisms, and their spread though food supply chains and human interactions. The intended outcomes include discovering how the most dominant strains of foodborne infection emerge and self-organise in complex networks, how to predict and contain the epidemics closer to their source, and which are the most vulnerable groups and communities. This should make a significant economic and social impact, improving health of the population, while also safeguarding national and international supply chains.Read moreRead less
Targeting the host lipid environment to disrupt malaria transmission. This project aims to characterise host molecules (in particular lipids) that are crucial for the transition of malaria parasites from one host to another. Malaria parasites encounter different environments upon their transition from human to the mosquito host. This project expects to generate new knowledge on physiological changes that are triggered by particular differences in micronutrient abundance that allow the parasites ....Targeting the host lipid environment to disrupt malaria transmission. This project aims to characterise host molecules (in particular lipids) that are crucial for the transition of malaria parasites from one host to another. Malaria parasites encounter different environments upon their transition from human to the mosquito host. This project expects to generate new knowledge on physiological changes that are triggered by particular differences in micronutrient abundance that allow the parasites to survive in the new host. Anticipated outcomes include the identification of new intervention strategies and improved transmission model systems for vector-borne diseases. This gained knowledge could provide benefits to future biomedical applications by informing diagnostics or treatment of lipid associated diseases.Read moreRead less
The cellular basis of sex-specific responses to virus infection. This project aims to explore how the sex of cells impacts virus infections in culture. To date, the sex of cells in culture has been overlooked as an important source of biological variability, but may be found to affect basic science through to anti-viral drug discovery. Using a model in which a virus can be adapted to grow better in cells of a single sex, this project expects to generate new knowledge about how sex differences im ....The cellular basis of sex-specific responses to virus infection. This project aims to explore how the sex of cells impacts virus infections in culture. To date, the sex of cells in culture has been overlooked as an important source of biological variability, but may be found to affect basic science through to anti-viral drug discovery. Using a model in which a virus can be adapted to grow better in cells of a single sex, this project expects to generate new knowledge about how sex differences impact virus-host interactions. This project expects to provide new insights into sex-based differences in how cells detect and respond to virus infection, and the extent to which the sex of cells impacts viruses in general.Read moreRead less
Determining features that separate groups of protein sequences. This project aims to develop mathematical approaches for determining features that distinguish one group of proteins from another, based on their amino acid sequences. The groups of sequences will reflect different outcomes, so that identifying the fundamental features can result in targeted interventions against the poorer outcome. A simple comparison at each position or of known features can fail to determine robust differentiator ....Determining features that separate groups of protein sequences. This project aims to develop mathematical approaches for determining features that distinguish one group of proteins from another, based on their amino acid sequences. The groups of sequences will reflect different outcomes, so that identifying the fundamental features can result in targeted interventions against the poorer outcome. A simple comparison at each position or of known features can fail to determine robust differentiators and so more complex methods are required. The project will, for example, help identify HIV vaccine targets by comparing early HIV transmission sequences from those in chronic infection. The methods will be applicable to viral proteins where high mutation rates make this task even more complex.Read moreRead less