Functional magnetic resonance imaging: Decoding the palimpsest. This project aims to model the dynamics of functional magnetic resonance imaging (fMRI) to image new physiology and attain higher resolution. This will enable new aspects of brain dynamics to be imaged, achieving higher resolution and improving interpretation. This project is expected to improve the use and power of fMRI, unlock new avenues for probing brain function and save experimental costs. This will have many uses in neuroscie ....Functional magnetic resonance imaging: Decoding the palimpsest. This project aims to model the dynamics of functional magnetic resonance imaging (fMRI) to image new physiology and attain higher resolution. This will enable new aspects of brain dynamics to be imaged, achieving higher resolution and improving interpretation. This project is expected to improve the use and power of fMRI, unlock new avenues for probing brain function and save experimental costs. This will have many uses in neuroscience, brain imaging technology and fMRI analysis software.Read moreRead less
Quantum equilibration. This project will shed light on a fundamental problem in physics - how do fragile quantum systems, entirely isolated from the rest of the world, return to equilibrium when disturbed from their natural state? Our results will provide a theoretical underpinning for the development of quantum simulators that can be used for the design of advanced materials.
Intelligent pattern recognition of water end uses enabling recommendations. This project aims to develop a hybrid machine learning method for autonomously disaggregating high- and low-resolution water flow data received from smart meters into discrete end-use events, and a customised recommender system for efficient resource demand management. Project novelty and significance relates to this coupling and autonomous disaggregation of datasets from advanced sensors, enabling more efficient utility ....Intelligent pattern recognition of water end uses enabling recommendations. This project aims to develop a hybrid machine learning method for autonomously disaggregating high- and low-resolution water flow data received from smart meters into discrete end-use events, and a customised recommender system for efficient resource demand management. Project novelty and significance relates to this coupling and autonomous disaggregation of datasets from advanced sensors, enabling more efficient utility services delivery and lower customer utility bills. Project benefits include enabling utilities to better manage and plan resources in the information age, while empowering customers with real-time water end-use data and behaviour changing consumption recommendations.Read moreRead less
Nanoscale control of energy and matter for future energy-efficient technologies. Unprecedented control of energy and matter in nanoscale fabrication will be achieved using non-equilibrium self-organised plasma-solid systems. The outcomes will lead to energy-efficient, environment- and human-health-friendly production of nanomaterials for future energy, health, information, food, water, environmental and security technologies.
Watching planets grow in real time. This project will conduct the first in-depth examination of the atmospheres of newly born small planets around other stars, yielding a better understanding of how planets evolve early in their lives. The atmosphere of our Earth is its most distinguishing feature. Key outcomes of this project include unveiling the mechanisms that drive the erosion of early planetary atmospheres, leading to a better understanding of the processes that sculpt all planets, includi ....Watching planets grow in real time. This project will conduct the first in-depth examination of the atmospheres of newly born small planets around other stars, yielding a better understanding of how planets evolve early in their lives. The atmosphere of our Earth is its most distinguishing feature. Key outcomes of this project include unveiling the mechanisms that drive the erosion of early planetary atmospheres, leading to a better understanding of the processes that sculpt all planets, including those in our own Solar System. The project leverages Australian and international expertise across exoplanetary, stellar, and Solar System astrophysics, with key outcomes in developing techniques for Australian utilisation of world-class multi-wavelength space facilities. Read moreRead less
Systematically model the large-scale complexity of turbulent floods and thin film flows. This project continues development of new models, and computer
simulation, of turbulent flood, river and estuarine flow. The models
will be based systematically upon established turbulence models to
resolve accurately the complex physical processes. The development of
new and robust computer models for thin layers of coating fluid will
aid many industrial processes. We also aim to provide correct ini ....Systematically model the large-scale complexity of turbulent floods and thin film flows. This project continues development of new models, and computer
simulation, of turbulent flood, river and estuarine flow. The models
will be based systematically upon established turbulence models to
resolve accurately the complex physical processes. The development of
new and robust computer models for thin layers of coating fluid will
aid many industrial processes. We also aim to provide correct initial
conditions and boundary conditions for simpler cases of the above
flows. The approach leads to a greater understanding of the range of
applicability of the models through better estimating the errors in the
modelling process. The project develops a fundamental enabling
methodology for engineering and the sciences.
Read moreRead less
Regulating The Secretion Of Inflammatory Cytokines
Funder
National Health and Medical Research Council
Funding Amount
$558,441.00
Summary
Cytokines or chemical messengers released by cells are essential for controlling immune responses but, in excess, they cause Crohn's disease and arthritis. Our research aims to block cytokine release as a novel way to ameliorate disease. We have identified specific cellular proteins, called golgins, that can be targeted to reduce cytokines. Here, characterization of golgin mediated cytokine transport in cells and in a mouse disease model is necessary to translate these findings for human benefit
Light from darkness: understanding extrasolar planets from their shadows. This project aims to determine the detailed properties of "sub-Saturn" planets. Theories of planet formation are heavily biased toward explaining our Solar System, which is not representative of the general population of planetary systems in our Galaxy. The vast majority of other planetary systems feature “warm sub-Saturns”: planets of ~10-100 Earth masses orbiting close to their host star. Due to a shortage of well-charac ....Light from darkness: understanding extrasolar planets from their shadows. This project aims to determine the detailed properties of "sub-Saturn" planets. Theories of planet formation are heavily biased toward explaining our Solar System, which is not representative of the general population of planetary systems in our Galaxy. The vast majority of other planetary systems feature “warm sub-Saturns”: planets of ~10-100 Earth masses orbiting close to their host star. Due to a shortage of well-characterised sub-Saturns, little is known about their composition and detailed properties. This project aims to advance our understanding of planet formation via intensive, dedicated ground-based characterisation of these new planets.Read moreRead less
Effective and accurate model dynamics, deterministic and stochastic, across multiple space and time scales. A persistent feature of complex systems in engineering and science is the emergence of macroscopic, coarse grained, coherent behaviour from the interactions of microscopic agents (molecules, cells, grains) and with their environment. In current modeling, ranging from ecology to materials science, the underlying microscopic mechanisms are often known, but the closures to translate microscal ....Effective and accurate model dynamics, deterministic and stochastic, across multiple space and time scales. A persistent feature of complex systems in engineering and science is the emergence of macroscopic, coarse grained, coherent behaviour from the interactions of microscopic agents (molecules, cells, grains) and with their environment. In current modeling, ranging from ecology to materials science, the underlying microscopic mechanisms are often known, but the closures to translate microscale knowledge to a system level macroscopic description are rarely available in closed form. Our novel methodology will explore this stumbling block, and promises to radically change the modeling, exploration and understanding of multiscale complex system behaviour.Read moreRead less