The proposed research aims to develop a novel and cost-effective method for producing carbon fibers using silane-grafted polyethylene (PE) as an alternative precursor. This approach integrates silane grafting, melt-spinning, stabilization, and carbonization processes to enhance the thermal stability and cross-linking of PE, making it suitable for carbon fiber production. By leveraging silane chemistry, the project […]

The goal of this project is to develop and pilot a sustainability materiality assessment framework for the Calgary Stampede. It is essential to understand stakeholder group’s values and motivations to make the best strategic decisions possible for organizations and the Calgary Stampede is no exception. By piloting the framework, it will be possible to test […]

This project focuses on understanding how child abuse is passed down through multiple generations by analyzing interviews with mothers about their experiences (collected previously) and then assessing maltreatment in subsequent generations. Using a unique and specialized coding system, the research will provide new insights into how abuse is perpetrated and perpetuated. The findings will help […]

The proposed project focuses on developing a Grid Disruption Prediction Tool that helps grid operators, asset owners, and dispatchers predict and mitigate power outages, brownouts, and blackouts. By analyzing historical and real-time data from Independent System Operators (ISOs) and Regional Transmission Organizations (RTOs) such as AESO, ERCOT, UK National Grid, and the Australian System Operator, […]

The matter and antimatter asymmetry that is observed within our universe is one of the more prevasive questions remaining in modern physics today. While theoretically appearing in equal amounts, physicists observe a distinct lack of antimatter in our universe, the nature of which is unknown. The Antihydrogen Laser Physics Apparatus (ALPHA) Collaboration is an international […]

The partner organization, D.I. Self-Composite (DISC) Alloys Inc., specializes in large-format additive manufacturing for metals, with a particular focus on propulsion systems and aerospace applications. Leveraging advanced Cold Spray Additive Manufacturing (CSAM) technology, DISC Alloys has the capability to deposit multiple metals with precision and achieve high deposition rates (20 kg/h), enabling the production of […]

Parasitic worms make molecules that block their hosts immune responses, leading to chronic infections. The molecules, called immunomodulators, block immune responses to the worms themselves and have more general effects on the immune system. A small number have been characterised and can interfere with different immune pathways. Research is ongoing to develop them for managing […]

A techno-economy study will be conducted to identify and quantify Scope 3 emissions at the Calgary International Airport to determine the economic impact of financial schemes and/or operational practices that the Calgary Airport Authority can implement to reduce aircraft ground emissions at the airport. Potential financial schemes include incentives, discounts or extra charges, and mandates, […]

“THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW”

A prominent issue with modern diagnostic tests is analysis of the large data sets that are produced by multiplexed analytical instruments. Qualisure Diagnostics, Inc. has devised a proprietary platform to tackle this issue. This technology is now at an advanced stage, and requires further development and market analysis to reach customers, users, and test designers. […]

Bond dissociation enthalpy (BDE) is a fundamental chemical property for predicting molecular stability and reactivity. BDEs are crucial for understanding antioxidant efficiency, enzyme catalysis, surface functionalization chemistry, and drug discovery. This project will focus on predicting BDEs for C-O and C-C bond types in lignin-derived molecules, essential for efficient lignin decomposition processes in biofuel production […]

This research explores the integration of quantum computing with statistical methods to enhance public transit origin–destination (OD) matrix estimation. Traditional OD estimation relies on automated fare collection (AFC) and automatic passenger counting (APC) data, which often present challenges due to incomplete coverage. Scaling techniques like iterative proportional fitting (IPF) help address these gaps, but their […]