Over the past eight years we have a diagnostic test for disease resistance in honey bees and then attempted to use this test to selectively breed disease-resistant bees. The bees selected in this way appear to not lose other economically important traits (e.g., honey production) but are far better equipped to deal with disease than […]

In northeast British Columbia, earth dams have been constructed to hold water for the oil and gas industry using locally available soils having high clay and silt content. These soils tend to have low shear strength and are susceptible to volume changes from wetting-drying and freeze-thaw cycles, which can lead to increased risk for cracking, […]

In early 2018, the UK-based publisher Black Dog declared bankruptcy. This headline wouldn’t have made a splash if not for numerous co-publishing partnerships held with Canadian art institutions. Black Dog’s liquidation left galleries and museums across the country with books stalled mid-production, resulting in delayed or cancelled exhibitions. Firstly, why were Canadian institutions partnering with […]

Decreasing operational costs is a key criterion for organizations that manage compute clusters, such as Amazon, Microsoft, Google, Alibaba, etc. One way to decrease costs it to improve resource utilization in the cluster [13, 14]. Yet, high resource utilization can negatively affect workload performance and thus user satisfaction. Performance degradation happens when workloads running on […]

The town of Fort Nelson has been hugely impacted economically with the drop in oil prices and cancellation of west-coast LNG export. Local companies and entrepreneurs are looking for other natural resources in an attempt to save the region’s economy. Mindbody Networks Inc. has access to a variety of natural clay deposits distributed within the […]

The project goal is to determine the clinical utility of Orpyx LogR technology to detect gait changes and their efficacy to predict and monitor fall risk. Project I will use existing data to determine sensitivity and specificity for prospective classification of fallers and non-fallers for a composite measure drawn from an extensive battery including single […]

The project goal is to determine the clinical utility of Orpyx LogR technology to detect gait changes and their efficacy to predict and monitor fall risk. Project I will use existing data to determine sensitivity and specificity for prospective classification of fallers and non-fallers for a composite measure drawn from an extensive battery including single […]

The environmental stress of altitude and heat have both been shown to elicit divergent adaptive responses and are used by elite athletes to augment training adaptation and subsequent performance. Indeed, 3-4 weeks at moderate altitudes can increase the body’s natural erythropoietin (EPO) responses, raising hemoglobin by 4-6% and enhancing endurance performance. Conversely, as little as […]

The environmental stress of altitude and heat have both been shown to elicit divergent adaptive responses and are used by elite athletes to augment training adaptation and subsequent performance. Indeed, 3-4 weeks at moderate altitudes can increase the body’s natural erythropoietin (EPO) responses, raising hemoglobin by 4-6% and enhancing endurance performance. Conversely, as little as […]

This proposed research project is an extension of a previous NSERC CRD project that is investigating hybridization optimization of Proton Exchange Membrane Fuel Cells (PEMFCs) used in FC bus and rail applications. The models developed in this research are expected to yield improved fuel cell and system lifetimes in service, and improved detection and mitigation […]

In this joint collaboration with BNS, we will develop a behavioural risk model to predict the likelihood of future risk of breaking the promise to pay debt for customers who only hold deposit products with BNS. The model will be utilized to support business operations such as credit card and loan pre-approvals. That is to […]

Molecular profiles of tumour samples have been widely and successfully used for classification problems. Many algorithms have been proposed to predict classes of tumor samples based on expression profiles. However, prediction of response to cancer treatment has proved to be more challenging and novel approaches with improved generalizability are still highly needed. Recent studies have […]