Genetic And Functional Analysis Of Brain Malformations
Funder
National Health and Medical Research Council
Funding Amount
$105,327.00
Summary
Disorders of early brain development are recognised as a significant cause of illness and disability in children. Unfortunately, the causes of these conditions are poorly understood, and treatment options are limited. It has become apparent that many of these conditions have an underlying genetic basis. This project will identify genes that regulate brain development and aid the development of improved treatment programs for brain and mind disorders.
Improving Outcomes For Women Diagnosed With Mucinous Ovarian Cancer
Funder
National Health and Medical Research Council
Funding Amount
$598,238.00
Summary
Mucinous ovarian cancer (MOC) is different from other ovarian cancers but few studies have characterized the genetic changes specific to this subtype. It is often confused with metastases from other organs and does not respond well to standard ovarian cancer therapies. If MOC is more similar to mucinous cancers from other organs than other ovarian cancers, it may be better treated with chemotherapeutics that show success with other mucinous tumours.
Discovery Early Career Researcher Award - Grant ID: DE240100501
Funder
Australian Research Council
Funding Amount
$423,232.00
Summary
Serpent sensory innovation in the evolutionary transition from land to sea. This project aims to investigate the mechanisms underlying sensory adaptation, which underpins the behavioural capacity of animals to adapt to environmental change. This research will harness innovative phenotypic imaging and genomic sequencing, to study the coordinated changes among sensory systems in a range of ecologically diverse snakes. Expected outcomes include a large database of 3D digital anatomical models from ....Serpent sensory innovation in the evolutionary transition from land to sea. This project aims to investigate the mechanisms underlying sensory adaptation, which underpins the behavioural capacity of animals to adapt to environmental change. This research will harness innovative phenotypic imaging and genomic sequencing, to study the coordinated changes among sensory systems in a range of ecologically diverse snakes. Expected outcomes include a large database of 3D digital anatomical models from Australian and international museum collections, and new knowledge on the genetic processes influencing sensory receptor evolution in vertebrates. The should provide significant benefits for conservation by using sensory adaptability as a framework for estimating potential extinction risk for vulnerable species.Read moreRead less
New Insights on Modelling Time Trends with Panel Data: Theory and Practice. This project aims to tackle important challenges in time trend modelling by taking advantage of panel data structures. This project expects to propose flexible models in time trend modelling to retrieve reliable inference. The expected outcomes include innovative econometric models and methods that have a wide range of applications, and are particularly suited for empirical problems within large and complex systems. This ....New Insights on Modelling Time Trends with Panel Data: Theory and Practice. This project aims to tackle important challenges in time trend modelling by taking advantage of panel data structures. This project expects to propose flexible models in time trend modelling to retrieve reliable inference. The expected outcomes include innovative econometric models and methods that have a wide range of applications, and are particularly suited for empirical problems within large and complex systems. This will provide significant benefits to all fields in which data displays any form of trending behaviour. The proposed model is used to evaluate the economic consequences of climate change and global housing market contagion, which provide strong evidence-based insights to the environmental and economic policies in Australia.Read moreRead less
Constrained and Stable Solutions of Nonlinear and Semismooth Equations. In this project, comprehensive models for designing safe power system parameters will be proposed, efficient algorthms for solving these models will be constructed. The new models and algorithms in this project will provide efficient tools to prevent catastrophic events in power systems, which is related with national security. This project will also strengthen collaboration of Australian applied
mathematians with inter ....Constrained and Stable Solutions of Nonlinear and Semismooth Equations. In this project, comprehensive models for designing safe power system parameters will be proposed, efficient algorthms for solving these models will be constructed. The new models and algorithms in this project will provide efficient tools to prevent catastrophic events in power systems, which is related with national security. This project will also strengthen collaboration of Australian applied
mathematians with international researchers and engineering scientists. This is important for the advance of science and technology in
Australia.Read moreRead less
Computational modelling of nanofluids for industrial applications. The use of nanoparticles in heat transfer fluids, then known as nanofluids, increases their specific heat and thermal conductivity. Recent experimental works highlight that anomalous transport phenomena are evident in nanofluids that cannot be adequately described by classical conservation laws. We will extend these conservation laws to incorporate fractional operators to capture the fluid memory effects and the impact of particl ....Computational modelling of nanofluids for industrial applications. The use of nanoparticles in heat transfer fluids, then known as nanofluids, increases their specific heat and thermal conductivity. Recent experimental works highlight that anomalous transport phenomena are evident in nanofluids that cannot be adequately described by classical conservation laws. We will extend these conservation laws to incorporate fractional operators to capture the fluid memory effects and the impact of particle clustering. Computational modelling and experimental investigations will be undertaken to identify the heat transfer mechanisms of various nanofluids. The outcomes of the work will increase knowledge on nanofluids and offer a significant opportunity to improve the efficiency of many thermal engineering systems.Read moreRead less
How Does Fra-1 Regulate The Invasive Properties Of Tumour Cells?
Funder
National Health and Medical Research Council
Funding Amount
$468,119.00
Summary
Most cancer deaths occur when tumours spread and destroy vital body functions. The invasion of tumour cells into surrounding tissue is a critical step during the spread of cancer. This project aims to unravel the molecular mechanisms that control the ability of tumour cells to invade into surrounding tissue and subsequently spread to other sites in the body. We expect to identify potential targets to better diagnose and treat the spread of cancer.
Identification and inference in nonparametric models. This project will develop reliable methods for identification, estimation and inference of nonparametric models for the evaluation of economic policies on outcome variables of interest. This econometric methodology will allow a better understanding of the quantitative effects of an economic policy which will result in better informed policy decisions. The results will have applications to labour market policies, health care policies and educa ....Identification and inference in nonparametric models. This project will develop reliable methods for identification, estimation and inference of nonparametric models for the evaluation of economic policies on outcome variables of interest. This econometric methodology will allow a better understanding of the quantitative effects of an economic policy which will result in better informed policy decisions. The results will have applications to labour market policies, health care policies and education policies among others. The project will also provide national benefits in terms of building up the local stock of researchers trained in the area of identification and estimation of nonparametric models; it will further improve the international reputation that Australia has in econometric theory.Read moreRead less
Dynamics of eigenvalue/eigenspace algorithms with applications to signal processing. Many problems in signal and systems lead naturally to an eigenvalue/eigenspace determination and tracking problem; for example (acoustic) echo-cancellation, crosstalk suppression in ADSL modems, direction of arrival determination with an array of sensors, linear system identification etc. Exploiting methods from global analysis and dynamical systems theory we will study the available algorithms for eigenspace de ....Dynamics of eigenvalue/eigenspace algorithms with applications to signal processing. Many problems in signal and systems lead naturally to an eigenvalue/eigenspace determination and tracking problem; for example (acoustic) echo-cancellation, crosstalk suppression in ADSL modems, direction of arrival determination with an array of sensors, linear system identification etc. Exploiting methods from global analysis and dynamical systems theory we will study the available algorithms for eigenspace determination to characterise their computational efficiency, accuracy and effectiveness in various data scenarios. The analysis will lead to improved designs for eigenvalue/eigenspace algorithms, as well as design tools to engineer algorithms to specific situations.Read moreRead less
Non- and Semi-Parametric Panel Data Econometrics: Theory and Applications. This project proposes to tackle several very important and difficult issues in modelling general climatological, economic and financial panel data that involve possible trending components. This project seeks to establish some general asymptotic theory for model estimation and specification technologies that are suited to such general nonlinear panel data that may be stochastically non-stationary and endogenous. The resea ....Non- and Semi-Parametric Panel Data Econometrics: Theory and Applications. This project proposes to tackle several very important and difficult issues in modelling general climatological, economic and financial panel data that involve possible trending components. This project seeks to establish some general asymptotic theory for model estimation and specification technologies that are suited to such general nonlinear panel data that may be stochastically non-stationary and endogenous. The research outcomes of this project are expected to be applicable in evaluating and improving empirical model building and forecasting from better models in climatology, economics and finance with possible endogeneity and nonlinearity and non-stationarity.Read moreRead less