One of the major responsibilities of financial and business analysts is to generate narrative reports summarizing business trends based on time series data. As it stands, this analysis is typically done manually, requiring analysts to pour over huge amounts of data looking to understand trends, and performing ad hoc analyses to establish relationships between data […]

This project aims to develop a novel collection of probiotics for animal health, specifically newborn and pre-weaned calves. Probiotics are a safe and sustainable way of ensuring the health of animals in the agricultural industry. The probiotics will be designed to decrease the morbidity and mortality rates in pre-weaned calves, and to increase the long-term […]

The ultimate objective of this research project is to use a form of artificial intelligence to be able to classify and identify images of microscopic particles. Machine Learning is the term applied to this type of process, in which an algorithm is created by the computer software itself (i.e. mostly hidden from human intervention) to […]

This project will assess the game demands of wheelchair court sports. While this has been attempted in the past, new methods using inertial measurement units (IMU) allow each push to be identified and offer new ways to analyze these game demands and connect them to key performance metrics. With the help of Own the Podium, […]

The aim of this project is to better understand the onshore and offshore feeding habits and movement of walleye on Lake St. Joseph. There is special emphasis on answering the question: if, when and how much do Walleye rely on invertebrates in general, and Mayflies in particular. Walleye are an economically and ecologically significant sport […]

Deep neural network (DNN) is a class of machine learning algorithms which is inspired by biological neural networks. DNNs are themselves general function approximations, which is the reason they can be applied to almost any machine learning problem. Their applications can be found in visual object recognition in computer vision, translating texts in unsupervised learning, […]

Contact lens discomfort is one of the primary reasons that cause people to stop wearing them. The discomfort may be due to the buildup of tear film components on the lenses during lens wear. The purpose of this project is to understand where most of the tear film components are depositing on the lens, such […]

This project is focused on evaluating dining improvements being implemented by the partner organization, Schlegel Villages (SV). The first study involves one SV where the CHOICE+ Program is currently being piloted. CHOICE+ is a team-based approach to making physical and psychosocial improvement. The team is guided by Champions to make these changes over time; changes […]

Canada has an unique model called the private-sponsorship model where private citizens and organizations can come together and apply to sponsor a refugee. Canada has been quietly exporting this model to countries around the world who are adopting the private sponsorship model to address refugee issues in their countries such as Germany and the United […]

Antibiotic resistance is a major public health issue and antibiotic prescribing patterns are increasingly being recognized as the main cause of resistance. Antibiotic stewardship activities have highlighted the role of over- and inappropriate use of antibiotics in driving antibiotic resistance. Prior research has shown consistent temporal patterns in antibiotic prescribing, such that prescribing rates tend […]

The patellofemoral joint consists of the femur, patella (kneecap), and tibia in the knee. It is a complicated joint that causes pain in about one-quarter of the population, often due to faulty patella motion. Patellofemoral pain is often persistent, and difficult to treat. Various physiotherapy interventions are used to relieve pain, with the aim of […]