A Biologically Responsive and Anatomically Authentic Human Nasal Model. As respiratory conditions caused by pollutants and viruses become more prevalent, human nasal models to study infection/protection mechanisms and nasal drug/vaccine delivery are increasingly important. This project aims to develop a world-first human nasal model to mimic both anatomical and biological aspects of the nasal cavity and predict the distribution and deposition of fine particles and the resultant biological respon ....A Biologically Responsive and Anatomically Authentic Human Nasal Model. As respiratory conditions caused by pollutants and viruses become more prevalent, human nasal models to study infection/protection mechanisms and nasal drug/vaccine delivery are increasingly important. This project aims to develop a world-first human nasal model to mimic both anatomical and biological aspects of the nasal cavity and predict the distribution and deposition of fine particles and the resultant biological response from the nasal mucosa. The aim is to overcome a key fabrication challenge - to 3D print an anatomically accurate nasal construct with a porous wall on which to grow and mature functional nasal tissue that lines a nasal cavity wall. The benefit would be enabling faster development of more targeted drugs and vaccines.Read moreRead less
Disease in endangered species: The importance of multiple-host infection and spatial structure. Pathogens are increasingly recognised as threats to endangered species. Managing such threats requires models to assess alternative strategies. Most current models deal with a single host and single pathogen, without spatial structure, although multiple-host pathogens pose the greatest conservation threats. This project develops a new generation of spatially-structured multiple-host models, and applie ....Disease in endangered species: The importance of multiple-host infection and spatial structure. Pathogens are increasingly recognised as threats to endangered species. Managing such threats requires models to assess alternative strategies. Most current models deal with a single host and single pathogen, without spatial structure, although multiple-host pathogens pose the greatest conservation threats. This project develops a new generation of spatially-structured multiple-host models, and applies them to two case studies. The first is the chytrid fungus that is thought to have lead to widespread declines and extinctions of frogs in Australia and overseas. The second is birdpox and malaria that have led to the extinction and endangerment of much of Hawaii's endemic avifauna.Read moreRead less
Investigating the genetic basis for heterogeneous susceptibility of Tasmanian devils to a novel infectious cancer. This project will use genetics and modelling to reveal why Tasmanian devils in northwest Tasmania are not dying from facial tumour disease, a new, unusual infectious cancer threatening this iconic carnivore with extinction. This project will predict extinction risk, develop management options, and provide a new template for managing emerging wildlife diseases.
An investigation of limb dynamics as a constraint on human motor learning. Everyday we use our limbs to interact with a variety of objects. These objects have various mechanical characteristics (dynamics), which require the human motor system to provide appropriate control. This project seeks to understand how the brain, in both normal and disease states, learns new limb dynamics as we interact with a novel mechanical environmental. Repetitive brain stimulation will be used to selectively block ....An investigation of limb dynamics as a constraint on human motor learning. Everyday we use our limbs to interact with a variety of objects. These objects have various mechanical characteristics (dynamics), which require the human motor system to provide appropriate control. This project seeks to understand how the brain, in both normal and disease states, learns new limb dynamics as we interact with a novel mechanical environmental. Repetitive brain stimulation will be used to selectively block the contribution of various cortical regions during the learning of a new motor skill and later, the recall of that skill. This will allow us to determine definitively which areas are critical to motor skill acquisition.Read moreRead less
Composites for thermal expansion matched oxygen electrodes. This project aims to develop high performance composite oxygen electrodes by using both negative thermal expansion materials and electrolyte materials to tailor the thermal expansion and activities of the perovskite-based electrodes for use in reduced temperature solid oxide cells. Such composite electrodes will show highly matched thermal expansion with electrolyte without sacrificing high activity at reduced temperatures. This project ....Composites for thermal expansion matched oxygen electrodes. This project aims to develop high performance composite oxygen electrodes by using both negative thermal expansion materials and electrolyte materials to tailor the thermal expansion and activities of the perovskite-based electrodes for use in reduced temperature solid oxide cells. Such composite electrodes will show highly matched thermal expansion with electrolyte without sacrificing high activity at reduced temperatures. This project seeks to address an important practical issue in the operation of solid oxide power cells - thermal expansion compatibility, which causes poor efficiency outside a narrow temperature band.Read moreRead less
Modelling with data: Advancing STEM in the primary curriculum. Improving the nation's skills in Science, Technology, Engineering, and Mathematics (STEM) remains a continuing concern, especially given the decline in international test results. The project aims to introduce a new approach to promoting this learning across grades 3-6 through modelling with data. With a focus on inquiry processes involving data variation and uncertainty within STEM-based contexts, the project aims to develop the imp ....Modelling with data: Advancing STEM in the primary curriculum. Improving the nation's skills in Science, Technology, Engineering, and Mathematics (STEM) remains a continuing concern, especially given the decline in international test results. The project aims to introduce a new approach to promoting this learning across grades 3-6 through modelling with data. With a focus on inquiry processes involving data variation and uncertainty within STEM-based contexts, the project aims to develop the important mathematical and statistical literacies needed for lifting student achievements. In advancing both theory and practice, the project aims to contribute to knowledge of primary students' capabilities for STEM problem solving and ways of enhancing implementation of the Australian Curriculum.Read moreRead less
Ultrahigh-resolution remote sensing for assessing biodiversity hotspots. Robust indicators are central to the complex problem of conserving vegetation biodiversity. The project aims to address this by developing advanced techniques for interpreting data from ultrahigh-resolution remote sensing of essential indicators in Australian biodiversity hotspots. The expected benefit is to significantly advance international efforts in the large-scale validation of biodiversity indicators mapped from sate ....Ultrahigh-resolution remote sensing for assessing biodiversity hotspots. Robust indicators are central to the complex problem of conserving vegetation biodiversity. The project aims to address this by developing advanced techniques for interpreting data from ultrahigh-resolution remote sensing of essential indicators in Australian biodiversity hotspots. The expected benefit is to significantly advance international efforts in the large-scale validation of biodiversity indicators mapped from satellites.Read moreRead less