We will use a database of more than 30 years of scientific survey and citizen-science observations of common loon breeding on lakes in Ontario, as well as other parts of Canada, to determine whether loons now breed successfully on lakes where they were negatively affected by acid rain (and other human threats like development). Our […]

The information needs of people with colorectal cancer are complex and poorly understood. This project seeks to undertake a narrative synthesis, a form of story telling that brings together evidence in a way that tells a convincing story of why something needs to be done or changed. It helps bridge the gap between research, policy, […]

Oxygen therapy is one of the most used treatments during hospitalization, especially in patients with cardiac or respiratory diseases. The latest recommendations emphasize the need to titrate oxygen as precisely as for any other drugs to avoid underdosage (hypoxemia) as overdoses (hyperoxia). Two million patients in the US receive oxygen therapy in the long term, […]

Rethink is Canada’s largest, national independent creative agency. As Rethink enters their twentieth year, they would like to formally collect the tips, tools and wisdom — 20 years of knowledge and experience — and share it with a broader audience interested in the creative industries and the process of creativity in general. Working with a […]

This project will examine the relationship between transit vehicle crowding and the time it takes for passengers to board and exit the vehicle (dwell time). It will also record the total maximum number of passengers on a transit vehicle and compare them to the manufacturers’ theoretical maximum capacity. Data will be gathered through accurate counts […]

Soil health and fertility has important long-term implications on farming practices. However, farmers and agronomists have difficulties to integrate soil assessment into farming decisions, mainly due to the tedious and long soil sampling process. This project aims at providing an innovative tool for agronomists and farmers to determine instantaneously and accurately several soil characteristics such […]

In this research, a new approach to model Frequency Dependant Network Equivalent (FDNE) will be introduced and implemented in PSCAD/EMTDC. FDNEs are used to accelerate and reduce the size of unnecessary part of the network under simulation. The new approach utilizes Brune’s network synthesis and Tellegen’s extension to create a multiport network whose impedance is […]

In every situation humans make observations and analyse the observed information, by combining and evaluating the relationships between the observation to understand the situation. Often these observations can be uncertain, redundant, from unknown sources, contradictory, and too many for a human to be able to analyse fast enough and correctly, leading to incorrect assessment of […]

In well-logging industry, gamma-ray density logging is an indispensable method to determine formations’ lithology and porosity. This research proposal under the support of MITACS and Rimpac Advanced Technology Development Ltd. aims at developing a high-resolution density well logging tool which is expected to achieve higher precision and better vertical resolution of formation density measurement. This […]

Better understanding Drug-Drug interactions (DDIs) is crucial for planning therapies and drugs co-administration. While, considerable efforts are spent in labor-intensive in vivo experiments and time-consuming clinical trials, understanding the pharmacological implications and adverse side-effects for some drug combinations is challenging. The majority of interactions remains undetected until therapies are prescribed to patients. We propose to […]

The proposed internships aim at investigating the relevance of deep learning (DL) techniques for target detection in radar data processing. More specifically, we are looking to demonstrate the feasibility of DL techniques to deal with unusual types of data (i.e., radar data) in situations where an well performing processing with classical techniques is a challenge […]

Forage nutritive value is a key component of profitable dairy production with forage fiber concentration and digestibility being critical, as high quality forages can reduce requirements for high-cost concentrated feeds. One approach and new technology developed to increase forage quality has been the release of high digestibility/lowlignin alfalfa cultivars, as alfalfa is the main forage […]