Adults with Autism (ASD) and/or intellectual disabilities (ID) who seek medical and dental treatments often require specialized interventions that are not always accessible in the community. The Centre for Innovation in Autism and Intellectual Disabilities See Things my Way clinic (STMW) developed a specialized Medical/Dental Clinic to address this important gap.
Avian Reovirus (ARV) is an economically important virus that is affecting poultry flocks in Alberta. Birds infected with pathogenic ARV may develop a disease named viral arthritis/tenosynovitis which is characterised by lameness, swollen joints, rupture of tendons and increase mortality. The disease is controlled by parent stock vaccination with live and/or inactivated antigen to provide passive immunity to the chicks. As local strains have been found to be different from commercial vaccine strains, protection can only be achieved with vaccines made from local strains.
Canola growers recognize that the beneficial arthropods that live in natural habitats and non-crop areas may play an important role in augmenting and stabilizing crop yields. These bees, flies, beetles, spiders and other arthropods may spill over into the crop, and through pollination or pest control, help to improve yields, decrease inputs, and increase profitability. A postdoctoral fellow will assess the relationship between natural habitats and canola yield that may result from these spillover effects, or other ecosystem services.
Patient-Reported Outcome Measures (PROMs) are validated questionnaires with which respondents self-report their health status. This may include symptom severity, functional status, and quality-of-life data. PROMS are an increasingly important part of the communication between a patient and their healthcare team.
“Biometric-enabled Sensing Technologies for Smart Cities” is a 4-year project dedicated to the research and development of smart sensing and monitoring devices and systems for applications in smart cities. The project is a collaboration between the Biometric Technologies Laboratory from the University of Calgary and Oasis Technologies Inc.. Stage one of the project consists of algorithm development for the smart detection of various human events (such as slips, trips, and falls in public areas) and vehicle events (such as collisions and vehicle rollovers).
Microbial activities in oil and gas operations can be beneficial or detrimental which economically impact the energy industry. Microorganisms can be responsible for souring and microbiologically influenced corrosion which damage oil and gas infrastructure, but they can also play a beneficial role in enhancing energy production, recovering chemicals from waste streams, bioremediation, and biofuel production. The threat of global warming and diminishing fossil fuel resources is creating an ever-increasing drive to implement new technologies for renewable fuel production.
According to literature, individuals with Autism Spectrum Disorder (ASD) can imitate movements since they have learned many social, vocational, speech, and academic skills. However, motor skill deficiency has been mentioned as one of the contributing factors to social isolation, reducing opportunities for people with ASD to be connected to society and peers. Improving motor skills increases their confidence to participate in social interactions.
The bond between adhered manufactured stone masonry veneer units and the setting bed mortar will be studied. It will involve testing shear, and tensile bond on small samples. Samples will consist of 2 types of adhered manufactured stones; two types of setting bed mortar (Type S, and modified dry-set cement mortar); and two types of substrates (simulated scratch coat and metal lath, and exterior grade cement board). Samples will be tested at 3 different temperatures (-40, 0 and 20°C), and 2 different numbers of freeze-thaw cycles. Three samples will be cast and tested for each combination.
Autonomous operation of oil and gas pipelines is being introduced to the marketplace by utilizing advanced process control and Artificial Intelligence. This Project will explore the use of advanced optimization algorithms in combination with autonomous operation to further increase efficiency of pipelines by continually driving pumps, compressors and valves to achieve the lowest cost operation.
Expected benefits of these efficiencies will be to increase the effective pipeline capacity without building new pipelines, while reducing the amount of energy required in a pipeline’s operation.
In the last decade optimization is expanded in many applications from food production to sophisticated applications such as engine fuel efficiency. In the proposed package, it is tried to apply optimization techniques along with physics based analytical and semi-analytical methodologies to create a compelling framework which can help thermal-process based oil industry to reduce their GHG and also better evaluate their CAPEX. Many SAGD projects are overspent on their facilities due to under prediction or overprediction of their oil production expectations.