A long-standing community-based organization, the Saskatoon Food Bank & Learning Centre (SFBLC) started as a temporary project in the summer of 1983. A year later, it was incorporated as a non-profit entity and remains “committed to ensuring a food-secure community where all people have access to safe, affordable, and nutritious food.” The SFBLC currently offers […]

Loin pain-hematuria syndrome (LPHS) is a rare human disease with a reported prevalence of 12 per 100,000. It is predominantly observed in women with the age at symptom onset ranging from the first to sixth decade of life, with most patients being in their late 20s or early 30s. The characteristic features of LPHS are […]

This project proposes a comprehensive analysis of the impact of environmental stress on Antarctic fish, utilizing an integrated approach that combines biophysical and genomic analyses to study adaptation mechanisms. By integrating disciplines, including physics and biology, this research aims to enhance our understanding of evolutionary processes and adaptation strategies of organisms in extreme environments, such […]

A multidisciplinary study for the utilization of artificial intelligence for sustainable energy production in Saskatchewan Province is proposed. In this research, the Artificial Intelligence for Energy Team of the University of Regina will use AI technology to various sustainable energy resources, which including to empower the field of nuclear energy by optimizing the reactor design […]

Dissolvable Fertilizers are an agricultural innovation with slow and controlled fertilizer release. This technology is posed to reduce application costs and lead to optimized nutrient uptake by plants. Furthermore, it promises to reduce the agricultural, carbon footprint, as the frequency and amount of fertilizer applied is decreased resulting in less environmental pollution from nutrient loss. […]

To feed the globally increasing population and increasing costs of producing food, this project seeks to use artificial intelligence to develop an app to assist in sustainable agriculture management. By monitoring soil moisture, nutrient levels, climate and crop type, a machine learning algorithm will link the farming action (application of fertilizer, flood irrigation and other) […]

This research project has two goals. The first goal is to design and test software that will analyze the content of transcribed 9-1-1 emergency calls. We will use Natural Language Processing (NLP) and Artificial Intelligence (AI) to perform an evaluation of the operator performance during the 9-1-1 call and generate an evaluation form in the […]

Growing beef for consumption requires a high-energy diet. Fat is 2.25 times more energy dense than carbohydrates. To increase the energy in the diet, feedlot nutritionists will add high-fat ingredients to the diet. In western Canada, these sources were traditionally tallow, corn oil, or yellow grease, but byproducts from the ethanol and oilseed industries offer […]

With this project, we aim to understand better what we can do to improve our product and customer experience to drive higher customer loyalty. Phase 1 of this project will be to survey existing and churned customers to understand what they like, what they dislike, and what they would improve about our product. We will […]

Provide some background on the partner organization and their challenges or opportunities. How will this project help the partner organization address those challenges? Feel free to provide links to articles, reports or other useful information. SkillShark Software is a SaaS model company leading the industry in making youth athlete evaluations easy. Current sport organizations do […]

The sources of ions in a particle accelerator are called an ion source. These are composed of a chamber with a plasma (collection of ions and electrons) generated inside. The ions within this chamber are pulled out as a beam into particle accelerator, where they are eventually used for semiconductor manufacturing, production of radioisotopes for […]

In today’s global market for chicken, producers of broiler hatching eggs face challenges in managing production efficiently. Traditional methods struggle with complex record-keeping and a lack of real-time monitoring and prediction capabilities. To overcome these challenges, we propose a digital twin framework—a virtual copy of the chicken production system. This framework uses synthetic data generated […]