Queensland University of Technology

About: Queensland University of Technology is a education organization based out in Brisbane, Queensland, Australia. It is known for research contribution in the topics: Population & Context (language use). The organization has 14188 authors who have published 55022 publications receiving 1496237 citations. The organization is also known as: QUT.

The roles of hypoxia in the in vitro engineering of tissues

Abstract: Oxygen is a potent modulator of cell function and wound repair in vivo. The lack of oxygen (hypoxia) can create a potentially lethal environment and limit cellular respiration and growth or, alternatively, enhance the production of the specific extracellular matrix components and increase angiogenesis through the hypoxia-inducible factor-1 pathway. For the in vitro generation of clinically relevant tissue-engineered grafts, these divergent actions of hypoxia should be addressed. Diffusion through culture medium and tissue typically limits oxygen transport in vitro, leading to hypoxic regions and limiting the viable tissue thickness. Approaches to overcoming the transport limitations include culture with bioreactors, scaffolds with artificial microvasculature, oxygen carriers, and hyperbaric oxygen chambers. As an alternate approach, angiogenesis after implantation may be enhanced by incorporating endothelial cells, genetically modified cells, or specific factors (including vascular endothelial growth factor) into the scaffold or exposing the graft to a hypoxic environment just before implantation. Better understanding of the roles of hypoxia will help prevent common problems and exploit potential benefits of hypoxia in engineered tissues.

A fast algorithm for estimating the parameters of a quadratic FM signal

Abstract: This paper describes a fast algorithm that can be used for estimating the parameters of a quadratic frequency modulated (FM) signal. The proposed algorithm is fast in that it requires only one-dimensional (1-D) maximizations. The optimal maximum likelihood method, by contrast, requires a three-dimensional (3-D) maximization, which can only be realized with an exhaustive 3-D grid search. Asymptotic statistical results are derived for all the estimated parameters. The amplitude estimate is seen to be optimal, whereas the phase parameters are, in general, suboptimal. Of the four phase parameter estimates, two approach optimality as the signal-to-noise ratio (SNR) tends to infinity. The other two have mean-square errors that are within 50% of the theoretical lower bounds for high SNR. Simulations are provided to support the theoretical results. Extensions to multiple components and higher order FM signals are also discussed.