Artificial generation of optimum whitewater waves in rivers for kayaking

Recreational river waves are gaining more and more popularity, but there is not enough academic research to support them and very few companies around the world can artificially create them using adjustable structures in rivers. Surf Anywhere, the Calgary-based partner organization in this research, is one of those few companies that has completed and is working on many wave projects in Canada, USA and Europe.

Crystal Engineering of Energetic Materials: Co-crystals and Ionic Salts with Enhanced Performance and Improved Chemical and Thermal Stability

Materials that can store and release significant amounts of energy are a high priority in the modern world due to the reliance of today’s society on propellants, explosives, pyrotechnics, aerospace and mining. Although there has been a thrust in the development of high energy materials, this has only been at the academic level. Industry continues to use old fashioned energetic materials which are primarily composed of highly toxic substances. To bridge the gap between academic advancements and industrial use, knowledge transfer, safety, scalability and cost-effectiveness are critical.

Lanthanide nanoparticle-based ink formulations for aerosol printing on miniaturized optical sensing platforms

The miniaturization of microelectronic, optical devices and sensors have pushed the development of smart and precise ways to fabricate these devices. Aerosol Jet microprinting is a great technology allowing to print very small features on these devices. In addition, it opens the possibilities to use functional inks that are optically activated and can act as temperature or molecular sensors.

Machine Learning for Practical and Scalable Regression Test Selection and Prioritization

In the context of systems with a large codebase, Continuous Integration (CI) significantly reduces integration problems, speed up development time, and shorten release time. While regression testing is widely practiced in the context of CI, it can be time-consuming and resource intensive for large codebases where the execution of test cases is time and resource intensive.

The Development and Implementation of a Data Management Strategy for a Community Mental Health Organization

While the use of “big data” in the business world and health sector is well underway, mental health services are slower to use their big data, particularly for research and decision-making purposes. Researchers have identified a need to explore the use of big data in mental health organizations, such as identifying strategies and tools to optimize data use, and examining the role of big data in mental health service delivery and policy development.

Advanced non-destructive testing solutions for mass concrete and deepfoundations

This project aims to develop an improved methodology for condition assessment of mass concrete structures and deep foundations using customized NDT solutions and an integrated approach. The project builds on recent advances developed by the project partner (FPrimeC Solutions) and the academic research group (uOttawa) for next-generation NDT products and services. Assessing the condition of large foundations and other mass concrete structures is complex, yet critical for the protection and maintenance of valuable infrastructure assets.

Mental Health Series: Addressing the mental health concerns of medical radiation technologists in Canada

In 2018, the Canadian Association of Medical Radiation Technologists (CAMRT) identified that there were high levels of emotional exhaustion and among medical radiation technologists. Research has shown that such burnout can lead to significant personal implications, reduced quality of patient care, and can have financial implications for organizations due to absenteeism and low job satisfaction.4–7 There are significant gaps in the literature surrounding the mental health of MRTs and a lack of resources to support them.

Mechanisms involved in triggering the rapid antidepressant effects of ketamine

Currently, the gold standard pharmacological treatment for depression typically take several weeks before becoming effective. This delayed treatment onset can be devastating because of increased rates of suicide during this wait-period. Thus, there is a need for rapid acting antidepressant drug treatments. Strikingly, a single infusion of ketamine can result in alleviation of depressive symptoms within hours. However, the effectiveness of this drug fades away over time.

Safety and effectiveness of Mifegymiso® offered through different service delivery points: a national prospective cohort study

Medication abortion with mifepristone and misoprostol has the potential to advance women’s access to safe and geographically accessible abortion care. Improved access to medication abortion protects women’s right to health and supports women's autonomy and agency. However, the over-regulation of mifepristone in much of the Global North has muted the promise of this pill-based regimen of abortion care.

Schedulability Analysis of Real-Time Systems Using Metaheuristic Search and Machine Learning

Schedulability analysis aims at determining whether task executions complete before their specified deadlines. It is an important activity in developing real-time systems. However, in practice, engineers have had difficulties applying existing techniques mainly because the working assumptions of existing methods are often not valid in their systems. Specifically, uncertainties in real-time systems and hybrid scheduling policies that combine standard scheduling policies have not been fully studied in the literature.