Pilot-scale preparation of phospholipid-free small unilamellar vesicle formulations with potential in treatment of hepatic diseases

Lipid-based nanoparticular drug formulations are a successful technique to enable targeted treatment. The Canadian company Precision Nanosystems Inc. (PNI) develops the innovative instrument family NanoAssemlr for lipid nanoparticle preparation based on microfluidics. These instruments are fast, easy-to-use and provide a high batch-to-batch reproducibility and quality. Recently, we developed a novel lipid nanoparticle formulation with the […]

Read More
Enhanced Model Suitability Analysis in Catastrophe Modelling through an Improved Understanding of the Seismic Hazard in Western Canada

One of the most destructive natural disasters that Canada could experience is a major earthquake affecting a highly-populated area. A 2013 study commissioned by the Insurance Bureau of Canada estimated that a magnitude 9.0 earthquake in British Columbia, and a magnitude 7.1 earthquake in the Quebec City-Montreal-Ottawa corridor would result in financial losses of almost […]

Read More
Investigating the microscale structures and rheological properties of oil water-gellant complexes for the development of gelators in remediating surface-water oil spills

Oil spills pose both acute and chronic hazards to ecosystems and require effective and timely treatment. As large quantities of crude oils are transported across and in the proximity of oceans. rivers. and other waletways, it is especially important to be prepared for spills into water. The dynamic and variable character of aquatic environments especially […]

Read More
Better predictions of employee events II

Machine learning can be used to predict employee events around retention, promotion or movement. This project explores how to generate better predictions by exploring correlations and exploiting them through features that increase predictive strength. Furthermore, the project explores how to reliably fine-tune the predictive model to a particular data set in the presence of interdependence […]

Read More
The landscape ecology of parasites and prey: habitat selection of Californiabighorn sheep (Ovis canadensis california) in the Okanagan Valley underexposure to Psoroptes ovis mite infestation.

In the Okanagan Valley of British Columbia, California bighorn sheep (Ovis canadensis california) populations have declined by 60% since 2011, likely due to a new mite infestation, Psoroptes ovis. These mites cause hearing loss and impaired awareness in wild sheep, possibly increasing their vulnerability to predation by cougars (Felis concolour). To assess this risk, data […]

Read More
Braiding new possibilities for co-existence: holding spaces for difficult conversations

This project uses social cartography as its main methodological and collaborative tool to map practices that enable or hinder successful collaborations in spaces of socially engaged art between members of various communities in historic dissonance. These include artists from Indigenous and other racialized communities. More specifically, this project explores the potentials of post-representational uses of […]

Read More
A humane pigeon management plan for TransLink: the case of Ovocontrol P

Pigeons can act as pests for the ability to spread disease as well as ruin infrastructure with their excrement. At Skytrain stations, they cause delays by triggering intrusion alarms as well as erode infrastructure. By attempting to reduce population numbers using a type of avian reproductive control that does not effect the environment or other […]

Read More
Orebody Heterogeneity Assessment for Sensor Based Sorting

Teck Resources Limited is searching for a method to characterize and quantify the heterogeneity of ore based on numerous parameters. Naturally, when characterizing an ore body’s heterogeneity, the variability in the deposit can contribute towards the sortability of the deposit. The main objective of this research is to investigate a method to quantify the sortability […]

Read More
Cloud based Machine learning algorithms on archived satellite/raster Imagery datasets

The proposed research work will be a breakthrough in the emerging data engineering field, especially in satellite data management, Machine learning algorithms, quality and quantitative analytics. The machine learning platform quickly scans vast archives of satellite images and delivers usable insights to decision makers. After processing of raster images, the data will be readily available […]

Read More
Developing solutions for safer harvesting techniques on steep terrain

The forest industry in British Columbia (BC) is facing increasingly difficult challenges regarding fibre supply. New winch-assist technology that enables fully mechanized ground-based forest harvesting on steep terrain has been increasingly used in BC since 2016. The new systems have improved safety and provide access to fibre that was previously uneconomic. New low-consumption small-size cable […]

Read More
Effective knowledge translation of evidence-based best practice for healthy lifestyle behaviours – Year two

The research supports the effective knowledge translation of evidence-based best practice information related to healthy lifestyle behaviours. Over a two-year period, the post-doctoral fellow will create a series of knowledge translation tools that can be used in the effective primary and secondary prevention of chronic disease through lifestyle behaviour modification. Our proposed initiative will capitalize […]

Read More