38139 research outputs found
Sort by
Oats in obesity
Obesity as part of metabolic syndrome is a major lifestyle disorder throughout the world. Current drug treatments for obesity produce small and usually unsustainable decreases in body weight with the risk of major adverse effects. Surgery has been the only treatment producing successful long-term weight loss. As a different but complementary approach, lifestyle modification including the use of functional foods could produce a reliable decrease in obesity with decreased comorbidities. Our research includes functional foods such as berries, vegetables, fibre-enriched grains and beverages such as tea and coffee. Our studies also focus on development of animal models of inflammatory diseases such inflammatory bowel disease, chronic kidney disease and arthritis. These models are then used to investigate the effects of functional foods in attenuation of these disorders
USQ Astronomy Data Repository
Data collected by USQ astronomers from various telescope facilities around the world. All data is in FITS format
Australian MODIS and Landsat Satellite Imagery for Agriculture
This data will be used for determining crop area estimates through out the main cropping areas of Queensland and Northern New South Wales. This is conducted through the use of the MODIS 16 day Enhanced Vegetation Index imagery and collected ground truth data. The out come of this project will help decision makers to make more informed decisions in the Agricultural industry
Queensland Archive of Agricultural Systems Modelling Data, Results and Outcomes
The data will contain inputs and outputs from agricultural systems models along with information of model and decision support system use. To enable the analysis of risk, probability, productivity and sustainability of agricultural and landscape systems. The data will contain observed and modelled data. The data can be used in the creation of decision support systems, guidance to investment. The data is useful in informing policy, education sector to be interacted with for learning. The data provides an ingestion of climate data sets. The data can be used to track changes in Agricultural practice and adoption rates of technology through time