Dehydrated corn silage is produced by drying corn silage to a moisture content of approximately 10%. It is being exported to Japan to be used as a forage for dairy cows, and its market is expected to expand in the future. However, its feeding values have not been studied. The objective of the proposed project […]

LGBTQIA2S+ individuals face barriers and challenges in gaining employment in tech, resulting in their underrepresentation in the industry. Research on this issue is sparse and incomplete. To address this labour-market gap in Canada and improve opportunities, we propose a mixed-methods research study that includes a quantitative survey about LGBTQIA2S+ experiences in tech companies and qualitative […]

Fatty liver disease (a.k.a. Non-alcoholic fatty liver disease (NAFLD)) and progressive liver fibrosis are a critical health concern across the world affecting as much as 25% of the world population and have become an enormous health concern leading to liver failure and hepatic carcinoma. There are no established drug regimens for these liver diseases. To […]

This research project evaluates the environmental performance of two tailings management areas at a decommissioned mine site in Ontario. The tailings areas are decommissioned with a water cover and continue to be managed and monitored with ongoing water treatment. The project revisits groundwater modelling that was conducted prior to the decommissioning of the site and […]

L’Institut national de formation et de recherche-action (Infra) est un organisme à but non lucratif dont une partie de sa mission est d’offrir des formations destinées aux OBNL. Dans le but de développer un nouveau créneau de formation et de répondre aux besoins des collectivités, l’Infra souhaite élaborer et évaluer une formation portant sur l’intégration […]

In Canada, screw piles are widely used in supporting residential and commercial buildings. While the design of screw piles are general well-known to engineers, the uplift displacement of screw piles during the winter season is still mysterious, especially in cases where screw piles are installed in frost-susceptible soils. The present project is intended to conduct […]

High-resolution natural risk analysis of client-specific asset portfolios that supports science-based decision making for asset modernization, upgrade and acquisition & disposal is a crucial part of asset management in the face of major natural hazards and climate change. The interns will work to combine existing insurance catastrophe models and advanced engineering analysis of earthquake, extreme […]

The production of cement contributes to 8% of global CO2 emissions resulting in a pressing need to develop strategies for reducing the use of cement. This research project focuses on reducing cement use by improving structural efficiency. In order to fully understand the behaviour of these efficient structural elements and ensure that they will provide […]

The goal of this research project is to identify where Indigenous Knowledge differs from how the province of Ontario understands and manages winter moose habitat, in order to better protect moose populations in the Northeast Superior region. Additionally, new and improved forest inventory data in the region will be investigated as a potential tool to […]

We propose to develop and evaluate a clinical decision support systems (CDSS) for the Princess Margaret Cancer Centre (PMCC) lung metastases multidisciplinary tumor board (MDT) to improve the consistency and quality of MDT decision-making. We will develop and train a machine learning-based (ML) classifier, using historical decisions data from lung cancer MDTs to model the […]

Climate Change (CC) mitigation and reduction requires a strong effort to develop and put into use clean energy options that significantly reduce anthropogenic CO2 emissions. In Canada, the transportation sector accounts for 25% of all emissions. Hydrogen fueled vehicles is one option that has a great potential to reduce Canadian and global CO2 fuel emissions. […]

Developing subject-based social media requires proper interaction with the users by learning and analyzing their profile and dynamically incorporating their opinion. In this project, a crowd-based profiling of users with respect to their peers will be developed and confidence factor calculated based on the collective opinion of the crowd will be assigned to the individuals’ […]