Using computer based models, the optimal time will be determined at which to schedule machine maintainence and tool replacement on a set of production tools in common use at Linamar Corporation.

The partner company is a business that provides solutions for financial institutes and wealth management companies. This company has provided services to more than 100 financial firms with a total of 1 trillion Asset Under Management. The financial churn prediction is important for these client companies because leaving financial advisors is likely to lead to losing their clients which might be millions of assets. This project aims to propose a solution that enables financial institutes to predict financial advisors' churn in the company.

Confronting Canada's conservation history and its influence on our collective present is the first step away from colonial conservation modes and towards models rooted in Indigenous governance, knowledge systems, and law. One model First Nations, Inuit, and Metis peoples are adopting is the establishment of Indigenous Protected and Conserved Areas (IPCA). Knowledge mobilization is key to galvanizing public awareness and appreciation of the work of IPCAs.

In the past decade, deep learning models have demonstrated their highest performance for a variety of tasks. These models outperformed classical machine learning models and even humans in terms of performance and accuracy. However, previous research indicated that these models are vulnerable to out-of-distribution and adversarial inputs. Ideally, these inputs should be rejected by the deep learning model, but the deep learning model generates confident outcomes for it.

Osteoarthritis (OA) in horses is a major equine welfare problem. We propose that use and ongoing optimization of biologic therapies that have no adverse affects on joint tissues is an imperative for the racing industry. In humans with OA, the injection of stem cells produced durable long-term cartilage for up to 7 years. In Europe, two equine stem cell products have recently been approved to treat equine fetlock OA, but these products suffer from short shelf life or low cell numbers.

The advent of genomic selection in the dairy industry has increased genetic progress; however, new challenges are emerging. Rapid population growth and associated demographic and economic changes are increasing global demand for dairy products. Moreover, the industry must address several societal and consumer issues such as human health, animal health and welfare, and the environmental footprint (e.g., greenhouse gases, antibiotic and hormone use).

Response to an oil spill involving wildlife can be challenging in the Pacific Northwest. The terrain, weather and remoteness of many locations are all elements to be considered when determining an effective response strategy. A goal of a wildlife response team is to be as prepared as possible when responding to an incident. The animals present at any particular time depend on factors such as migration, breeding, and food abundance. Using existing studies, environmental sensitivity maps and novel research, we will enable the best wildlife response at a given time of year at a given location.

Requirements for nutrient removal from municipal wastewater (MWW) are stringent in order to reduce environmental impact of anthropogenic activities on natural ecosystems. Common practices in MWW treatment involve chemical and bacterial processes. Micro—algae have been proposed as an alternative or complementary approach to MWW treatment but technologies for such implementations remain limited. We propose to test, as a proof of principle, a photo-selection process, designed to reduce the complexity and costs of MWW treatment.

Gene therapy has the potential to cure a wide range of debilitating genetic diseases. One of the best ways to correct a genetic defect is to use a viral vector to deliver a functional copy of the gene to cells in the body so that they can express a functional protein and reverse the disease phenotype. Currently, adeno-associated virus (AAV) vectors are the leading gene delivery platforms as they can infect almost any cell type in the body and can elicit sustained expression of a function protein.

Fusarium graminearum is a fungus that causes disease in corn, wheat, barley and oat. Not only do these diseases affect yield, but the fungus produces toxins that helps it gain access to the plant. These mycotoxins are harmful to humans and livestock and are regulated in the grain trade. Left unchecked, contaminated grain and yield losses can cost producers and the grain trade $ millions in epidemic years. Originally in Ontario we had one strain of F. graminearum that produced the mycotoxin deoxynivalenol (DON) using 15-A-deoxynivalenol as a precursor molecule. We called these 15 ADON strains.