The return on investment for medical imaging, interventional radiology, is not well understood, with limited existing research on the value realised from the funds spent. It is expected that the Hot Stroke Intervention by interventional radiologists will not only add direct value to the health care system but will have far reaching and significant impact on the Canadian economy. According to the Canadian Heart & Stroke, an estimated 62,000 strokes occur in Canada each year one every nine minutes. More than 400,000 Canadians are living with long-term disability from stroke.
Automation of medical diagnosis/detection process is very important in terms of enhancing diagnostic accuracy, increasing throughput, reducing costs, and training new staff. Our current goal is to go from the proof of concept stage (automatic recognition and classification of human blood images) to a complete working and optimized prototype and to start testing it in an actual clinical lab environment with the help of Calgary Laboratory Services.
The exponential growth of biodiesel production all around the world has created a significant surplus in the production of the principle co-product, crude glycerol. Therefore, effective utilization of crude glycerol is imperative for bringing new revenue to the biodiesel producers and the sustainability of the biodiesel industry. There have been numerous papers investigating the potential applications of crude glycerol as value-added products.
This research aims to understand athlete recovery and training adaptation by monitoring athlete fatigue. The research will have a direct impact on multiple podium-performances in both Summer and Winter Olympic and Paralympic athletes since knowing how fatigue is present in athletes can help to improve training prescription; specific training prescribed during varying periods of fatigue and recovery can maximize the training response and likely improve performance.
Concussions are a common traumatic brain injury and currently one of the most prominent medical concerns in contact/collision sports, at all ages and levels of competition. They are also one of the most complex injuries to manage in high-risk sports to ensure a safe return to training and competition. Our goal is to develop an objective and valid tool using novel robotic technology (KINARM) that can reliably quantify and monitor visual search and attention impairments seen with concussion.
Rooftop solar modules installations are growing in popularity as the benefits of implementing these features on previously unoccupied roof space are being realized. A major concern with these installations is the contribution to the roof load due to the interaction between high wind speeds and the angled modules. Similarly, there are concerns with uplift on the backside of the modules. These loads can lead to high cost of the structural support for the modules.
Every time it rains, there is a portion of water that doesnt get absorbed by plants and soils. That water is known as run-off, and it requires management since it can create high energy flows and pick up harmful chemicals (e.g. fertilizers, pesticides, gasoline, tire wear) off the streets, driveways, and other hard surfaces as it flows towards the natural water bodies. This project is focused on analyzing how much runoff can be absorbed by a plant-soil system called bioretention, and whether specially constructed planting beds can help manage both the volume and the quality of runoff.
Due to the current economic downturn, especially the lower crude oil price, the drilling success rate become the most important goal for any oil/gas company. For a start-up company, any failure in drilling will be a disaster. To this end, the Deep Treasure Corp wishes that through the combination of mature hydrocarbon prediction techniques and new research results in seismic inversion, the success rate of hydrocarbon prediction, the theoretical basis for well placement can be provided in Roncott field, which will improve the success rate in drilling.
"Microbiologically influenced corrosion (MIC) is a costly problem faced by many industrial sectors. Currently practised MIC diagnostic methods recognise the presence of microbes, but are incapable of identifying exactly which microbes are present, and their potential role in possible corrosion events. This disconnect often leads to sub-optimal corrosion management strategies, and even wastage of treatment resources.
As ladders are such a common tool, its potential improvement can be easily overlooked. The purpose of this project is to invent a new ladder design. To avoid the lock-in effect of existing ladders, topology optimization is applied to explore new possible designs. The key of this technique is to let algorithms search for theoretically possible designs that satisfy some basic usage conditions (e.g., overall size limits and applied loads).