The relationship between worker well-being, organizational performance, and environmental sustainability is synergistic. When organizations focus on one area, it often positively influences the others, leading to a virtuous cycle where the well-being of workers, the success of the organization, and the health of the planet are all enhanced. The purpose of this project is to […]

We are developing a new system to help banks and financial institutions better assess credit risk—the chance that a borrower might not repay a loan. Traditional methods use standard data like credit scores, but they often miss valuable information hidden in detailed credit reports. Our project aims to use advanced artificial intelligence, specifically transformer models, […]

Aspergillus fumigatus is a widely distributed filamentous fungus found in soil and decaying organic material. It is also capable of causing serious respiratory infections in those with underlying health conditions, and it was named as a top-priority fungal pathogen by the World Health Organization. Recent global evidence demonstrated that agricultural antifungals contribute to clinical antifungal […]

Project overview: Identification of fungal communities within the sorghum phyllosphere from symptomatic samples via Next-Generation Sequencing Sorghum is vital for food security in drought-prone areas of South Africa. However, fungal diseases such as leaf blight, anthracnose, and panicle blight significantly reduce yields and grain quality. With limited recent data, this project seeks to characterize fungal […]

Indigenous leafy vegetables (ILVs) are the cheapest and easily accessible sources of important nutrients such as proteins, vitamins, especially the pro vitamin A and essential amino acids. Most of ILVs have long been known and reported to have many health properties through the presence of phytochemicals. Phytochemicals are bioactive, non-nutrient plant compounds in fruits, vegetables, […]

In today’s society, digital technologies impact every facet of how we live, work, and play. ). As a result, decisions and investments related to digital policy influence and can either enable or prevent the achievement of broader social policy goals, and vice versa. This project is developing a comprehensive ecosystem map identifying all digital policy […]

This study compares Taiwanese and Canadian teachers’ perspectives on teaching the history and nature of science (NOS). We aim to understand how cultural, societal, and educational factors influence these decisions. Understanding NOS is crucial for developing scientifically literate citizens. For this goal, we conducted a comparative analysis of science teachers’ beliefs and practices in Taiwan […]

Cereal grains are essential to human diets, providing vital nutrients and serving as key sources of carbohydrates and protein. With climate change posing challenges, identifying adaptable crops is crucial for global food security. Barley and sorghum stand out due to their resilience and nutritional benefits. They contain various phytochemicals, notably phenolic compounds, which offer health-promoting […]

PCS is collaborating with The Forks to tackle the challenge of designing an inclusive safety strategy that brings together diverse stakeholder perspectives, fosters community involvement, and broadens the concept of safety to encompass cultural and social aspects. This initiative will directly impact the current security team, reshaping its role and focus to meet evolving community […]

The Healthy Aging Cohort pilot study, aims to explore the relationship between medical fitness facility attendance and health outcomes as people age. This study will gather comprehensive data on health and lifestyle factors and the goal is to develop one of the largest studies on healthy aging, highlighting the potential benefits of medical fitness facilities […]

This project aims to determine if MacDon’s existing data can be used to develop machine learning models for image segmentation. Image segmentation means identifying different objects in an image by assigning each pixel to a specific category. MacDon has lots of unlabelled video and image data collected from their farming equipment. Traditionally, large amounts of […]

The primary objective of this project is to utilize artificial intelligence to support individuals intending to immigrate to Canada by providing real-time, accurate information, personalized assistance, and comprehensive guidance throughout their immigration journey. The project aims to ensure that prospective immigrants have their questions answered promptly and are well-informed about the necessary steps to meet […]