Grants and Contributions

Not a Project (Mandated or Core Funding)

P054298

The Centre de justice de proximité Côte-Nord will deliver a communication plan to promote its legal services to members of an official language community in order to increase their access to Justice.

Not a Project (Mandated or Core Funding)

Not a Project (Mandated or Core Funding)

Resistance welding produces high quality components with a repeatable manufacturing process. However, direct scale-up is not feasible, as the power and pressure requirements for joining large components becomes cost and
space prohibitive. Continuous resistance welding (CRW) effectively breaks down a large weld into smaller segments or weld sections and implements continuous motion of the welding tip along the weld seam. The performance
and quality of the welded joint are directly related to the weld interface thermal history, thus welding tip speed and power input are controlled to maintain the desired weld temperature, thereby ensuring a high-quality bond.
This is only practical if process simulation is used as part of a smart control system. In this Project, UBC will develop and implement a suitable physicsbased simulation to enable CRW of complex structures.

Conduct market analyses for an upcoming model of electric bike that incorporates Biktrix proprietary technology and support business development by leveraging the Biktrix online community.

The urgency of the COVID-19 pandemic has triggered a surge in the development of algorithms that address forecasting, contact tracing, screening, and treatment of COVID-19 positive patients to aid clinicians in their decision-making. However, a common feature of this work is a concern that bias in the models may mean the results do not generalize well. Moreover, such models can present challenges to identifying the underlying functional mechanism by which predictions are made and, ultimately, when they do not perform to expectation. Taken together, these issues can present significant challenges to moving such methods into clinical practice.
This Project will seek to demonstrate that user-centric development, when combined with explainable approaches to machine learning can result in greater uptake of new data-driven aids to care by clinicians. This will be done through development of best practices for introducing explainable machine learning (ML) into clinical informatics applications and a validation of these approaches in a prototype presentation layer using an explainable ML analysis that is relevant to clinical needs during pandemics as a test case.

Over the years ThermalWood Canada have been presented opportunities to work with specific species on specific applications for clients all over the world. Our present thermal modification oven batches 14,000 bf at the time and does not give accurate results if you try to process very small volumes. Each species requires a different recipe depending on its application and if we cannot achieve results with a pre existing recipe, we cannot pursue the initiative any further. What we are proposing is build a small test oven that can replicate the operating parameters of our existing oven. This will allow us the flexibility to pursue new opportunities.

An immersive VR/AR design-build STEAM education and career awareness simulation that will allow youth to design their own homes based on their own creative energy, community, and cultural beliefs, while exposing youth to the many interconnected careers in the design-build ecosystem.