An Australasian, Multi-centre, Randomized, Double-blind, Placebo-controlled Trial Of The Efficacy Of Fluoxetine In Improving Functional Recovery After Acute Stroke
Funder
National Health and Medical Research Council
Funding Amount
$2,306,367.00
Summary
Stroke is one of the top three causes of disability. Treatments that improve recovery after stroke are lacking. We reviewed the world literature and found a number of very small studies which, together, suggest that the antidepressant drug, fluoxetine, may improve the recovery in stroke patients. AFFINITY is a large trial in 1600 Australians and New Zealanders with stroke which aims to find out whether taking fluoxetine for 6 months after a stroke improves recovery compared to a placebo.
Testing the Flood Pulse Concept for rivers with variable flow regimes. For floodplain rivers the major unifying conceptual model linking hydrology, biogeochemistry and ecology is the Flood Pulse Concept (FPC). The model is based on rivers that have a seasonally predictable and long duration inundation of floodplain habitats. Recent reviews of the FPC indicate that the model needs to be broadened to describe the function of rivers with more variable flow regimes. This project will test some of th ....Testing the Flood Pulse Concept for rivers with variable flow regimes. For floodplain rivers the major unifying conceptual model linking hydrology, biogeochemistry and ecology is the Flood Pulse Concept (FPC). The model is based on rivers that have a seasonally predictable and long duration inundation of floodplain habitats. Recent reviews of the FPC indicate that the model needs to be broadened to describe the function of rivers with more variable flow regimes. This project will test some of the predictions of the FPC for variable dryland rivers by investigating how food webs in the channels of a floodplain reach respond to flows of different magnitude, seasonal timing and duration.Read moreRead less
Automation of species recognition and size measurement of fish from underwater stereo-video imagery. The project aims to develop algorithms to automate the processing of stereo-video images recorded to count and measure the size of fish. This will improve husbandry and monitoring for finfish aquaculture at reduced costs, create technology export for industry partners, and develop cost effective, non-destructive finfish sampling tools for marine agencies.