Throughout my Doctoral Studies I have used various approaches to evaluate and/or predict the behaviour of cardiovascular structures in the setting of acquired disease. These have been focussed on two key methodologies: insilico testing aimed at predicting functional responses to therapeutic intervention, such as mechano-electric Finite Element Method (FEM) modelling of the left atrium strains and stresses in response to hypertension, and fluiddynamic FEM modelling of abdominal aortic aneurysms.
This project will develop, pilot and evaluate a training program for job coaches and other related support providers to person with Autism Spectrum Disorder, using several sequential steps, as follows. (1) We will conduct an environmental scan of existing job coach training curriculum. (2) We will present this information in focus groups across Alberta that include adults with autism, family members, job coahces, employes, and other key stakeholders that support the autism community and understand the role of, and potential issues for, job coaches in autism.
Saltwater intrusion poses a high level of risk to fresh water resources in coastal communities throughout Canada and the world. Saltwater intrusion is driven by withdrawal of groundwater from aquifers, and by rising sea level. The goal of this work is to demonstrate the usefulness of geophysical methods (electrical resistivity tomography and distributed temperature sensing) for improved monitoring and management of saltwater intrusion at the basin scale. These methods, which are similar to those used in medical tomography, allow for mapping the distribution of saltwater intrusion.
The state-of-the-art polymer electrolyte fuel cells have catalyst layers (CLs) made of Platinum catalyst on carbon support (Pt/C) bound together by proton-conducting polymer or ionomer. To overcome the challenges of high cost of Platinum catalyst ad corrosion of carbon support, alternative materials for catalyst and catalyst support are being considered. The interaction of ionomer with catalyst and its support materials controls two factors that profoundly affects the CL performance -(i) the micro-scale structure of the CL and (ii) ionomer properties in the catalyst layer.
The rise of Big Data, social networking, and mobile interactions coupled with an accelerating increase in the amount of structured and unstructured information enabled by cloud based technologies is forcing organizations to focus on information that is most relevant, value-generating, and risk-related. Problems arise when we make decisions based on good enough metrics (e.g. means) instead of proper statistical methods (e.g. T-tests, ANOVA). The issue is that everyday business workers need to understand statistics in a cloud centered world.
Primary liver cancer (PLC) is one of the fastest growing cancer in Canada and is a heavy global burden. To efficiently allocate the health care resource to the patients with PLC, outcome and cost analysis of the patients with PLC may be a right direction. In order to obtain enough information to accurately assess the status of patients with PLC, this proposed study will take advantages of Electronic Health Record (EHR) data.
From the survey of literature (Eames et al. (1995), Chunnanond & Aphornratana (2004b), Chunnanond & Aphornratana (2004a) and others), the performance of a jet refrigeration system depends greatly on the ejector configuration (characteristics). Many researchers have shown the need to improve performance in order to make ejector-based cooling economically more attractive.
Weather is a significant driver of daily natural gas and electricity price moves in various North American markets. Weather drives retail energy consumption, which in turn drives market prices through a supply and demand process.
Individuals (donors) wishing to donate funds to non-profit and/or charitable organizations want to know how the organizations operate and how effectively their donations are used. Dexterity has developed an online service called Place2Give which aims to answer those questions. The research project aims to employ social network analysis and data mining to enhance the data introduced into the databases used by Place2Give from which the data for the analysis of the charitable organizations behavior is extracted on a case by case basis.
Working as part of the Autonomous Reconfigurable/Robotic Systems Group at the Schulich School of Engineering, Adyasha is helping to further develop a special highly maneuverable, high-speed drone bi-copter capable to fly in confined spaces and other areas such as collapsed buildings typically encountered in urban search and rescue, or mining environments. Devices like this, which have been under development at the U of C since 2005, could be deployed during disasters to direct rescuers to find stranded survivors.