Three out of five Canadians with dementia wander, raising concern as to how it can be managed. Current information describing best practices to find missing persons living with dementia however, is inconsistent and can cause police difficulty in choosing search and rescue strategies for this population. The purpose of this project is to develop and promote the exchange of best practices to quickly find a lost person with dementia through the development of a guideline. It will involve a literature review and surveys with police across Ontario.
Genetic engineering has proven to be a useful approach for gene therapy and transformation of value-added agricultural plants. However, the current available technologies suffer from several limitations. These include relative low delivery efficiency with difficult-to-deliver cells or complex constructs and limit freedom-to-operate. Considering advances have been made in the applications of nanotechnology to life science and plant biology, particularly in the realm of gene editing technology, improving delivery efficiency is urgently needed.
Surface degradation during Oil & Gas and Mining operations in the Province of Alberta are pervasive. This has resulted in extensive research and development activities into the development of advanced surface modifications that are based on overlays and coatings. Most research effort has focused on materials selection, fabrication, and optimization of wear performance of those modifications through experimentation, trial-and-error, and microstructural analysis.
Providing high quality healthcare service is important in a society not only for the patients but also for their families and friends, who devote time to take care of their loved ones. In order to meet the healthcare demands of citizens, especially for the baby booming generation, an increasing number of long term care facilities are necessary. There are many challenges to run these facilities to ensure safety and care compliance. The echaperone project will apply state-of-the-art computer vision and machine learning techniques in video analytics.
Research problem: Reclamation practices in regions known to be undergoing rapid climate change must consider what adaptive measures could be implemented to maximize short-term reclamation success and long-term resilience of reclaimed sites. Objectives: I will investigate how a multi-scale ecological classification system can be used to predict regeneration success of different forest tree species at reclamation sites in north-central Yukon.
Nitrogen and phosphorus are sources of eutrophication (e.g., blue-green algae bloom) in rivers and lakes. The bloom of blue-green algae can significantly affect aquatic lives and human activities because of the toxins that they produce. Therefore, it is crucial to reduce the nitrogen and phosphorous concentrations in municipal wastewater discharges. Conventional treatment techniques using activated sludge (AS) based biological nutrient removal (BNR) process often experiences system deficiency at low temperature (winter) and under increased hydraulic loads (e.g., snow melting events).
The discipline of Vibrometery is wide and has many applications, vibrations are present in any mechanical system that involves moving components. So far, the main method to measure these vibrations has been the traditional accelerometer sensor, although it has its limitations and challenges.
Laser Doppler Vibrometers (LDV) were developed in order to address some of these limitations and they offer a non-contact measurement of vibrations by leveraging the Doppler shift effect.
Cell surface receptors are targets of ~50% of pharmaceutical and biological drugs. Still many of such receptors have no known therapeutic inhibitors because 1) the receptors are only active in cells 2) isolation and purification of the receptor is not viable and 3) determining activity of a potential therapeutic is complicated by binding that can lead to a productive (antagonism/agonism) or an unproductive response.
Manufacturing is a main component driving the successful economy in a society. In order to remain competitive in the global manufacturing market, product quality control is critical. High quality product not only expands the client base, but also enables just-in-time correction to reduce the cost wasted in defective products. The goal of this project is to develop an intelligent defect detection platform, which can be integrated with the existing production pipeline without major alteration or financial investment.