Grants and Contributions

This project aims to use satellite measurements and targeted experiments to evaluate and improve the current understanding of chemical emissions from Canadian forest fires, crucial for enhancing modeling of smoke plumes and assessing their impacts on human health and the environment. By focusing on obtaining glyoxal and formaldehyde column densities and refining emission factors and branching ratios, the research seeks to advance forest fire smoke modeling, potentially mitigating the societal challenges posed by increasing prevalence of forest fires.

The workhorse density-functional theory (DFT) computational methods are time-consuming and of limited accuracy for strongly correlated systems like the metal-oxides commonly used for catalysis. (Classical) Machine learning (ML) is showing great promise in reducing the number of expensive DFT calculations in the design process. Quantum computing (focusing on hybrid approaches using Noisy Intermediate Scale Quantum (NISQ) computers for parts of the problem) is showing great promise to contribute to opening both bottlenecks by facilitating the use of more accurate quantum chemical methods and accelerating machine-learning approaches beyond the possibilities of classical ML. The proposed research will be directed along two complementary streams: i) quantum computing for quantum chemistry and ii) quantum machine learning.

Specifically, this portion of work is related to the development of an additional learning module on Universal Accessibility.

The contribution supports the preservation and propagation of the unique flora of Sidney Island while supporting applied research, providing experiential learning, and fostering connections to enhance students' skills in plant propagation.

The objectives of the Program are: .• promoting volunteerism among seniors; .• engaging seniors in the community through.mentoring of others; .• expanding awareness of elder abuse, including.financial abuse; .• supporting social participation and inclusion of.seniors; and .• providing capital assistance for new and existing.community projects and/or programs for seniors. .

Develop digital adoption plan

Develop digital adoption plan

The main objectives of the project include expanding the range of gases for creating nanobubbles, standardizing methods for their characterization, and testing their resilience in conditions simulating space. The goal is to investigate plant growth in microgravity conditions that tests these systems in terrestrial environments within a simulated space environment. The expected outcomes include advancements in scientific knowledge and technological development in space health and life science, training opportunities for a minimum of 5 students, and benefits to Canadian populations.

The long-term objective of this project is to develop a low-cost wide field-of-view (FOV) optical system for debris detection from a nanosatellite. The project will aim to develop a more compact camera capable of real-time image processing for space surveillance in challenging lighting conditions. The project objectives are to design an advanced star field simulator to accurately represent challenging imaging environment, to develop an algorithm using neural network for star and RSO detection in non-ideal light conditions, and to design a real-time adaptive camera control in response to changes in illumination conditions.

This publication explores how the first generations of French who settled in the region learned about, reacted to, and began to work with local Indigenous food knowledge and ingredients.