Nutritional Prenatal Soft-gel Development

The requirement for dissolution testing (both routine sample and method development) is increasing for all of the current and future programs at Accucaps and is a regulatory requirement for most oral pharmaceutical products. The need for access to capacity and development capabilities for dissolution must reach beyond Accucaps. For these reasons, a collaboration with Dr […]

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An immersive VR-BCI-robotic interface for visuomotor rehabilitation augmentation.

Neurological conditions such as stroke are a major cause of disability in Canada, estimated to affect 1.5 million Canadians. Canadians living with neurological conditions face many ongoing challenges with reduced functioning and activity limitations. According to the World Health Organization, one in six people worldwide have a stroke. Two out of three survive, but up […]

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Examining the impact of an in-hospital intervention on veterinary team coordination, employee mental health and commitment, and veterinary hospital business metrics

Prior to the COVID-19 pandemic, there were mounting concerns related to the mental health and wellbeing of veterinary professionals, resulting in an increased rate of employee turnover across the profession. The COVID-19 pandemic has exacerbated these concerns, calling for veterinary organizations, such as VCA Canada, to emphasize business practices that promote positive client, patient, and […]

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Developing a best practice model for mental health crisis care: A community engaged approach

When experiencing mental health crisis, many people rely on emergency services such as 9-1-1 dispatchers, paramedic services, police services and hospital emergency department services. Emergency response to mental health calls has recently gained significantly greater attention, recognizing that these interactions may have substantial, potentially life and death consequences for those already in distress, particularly for […]

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Development of passive sampling devices for natural and artificial radionuclides in the context of pre- and post-deployment of small nuclear reactors in remote areas

Small nuclear reactors (SMRs) are a major option for electricity production in remote areas. Environmental impact assessment and monitoring will be needed, however this might be difficult because of the remoteness and the anticipated low levels of radiocontaminants, especially that laboratories with modern instrumentation might not be available on-site. We are proposing (1) to adapt […]

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Task Force on Climate-related Financial Disclosure Reporting Automation Project

The Task Force on Climate-related Financial Disclosure (TCFD) framework is one of the most important frameworks under the belt of ESG analysis. Climate-related risks are disclosed, and risks and opportunities are identified for a better decision-making process, assisting organizations in a smooth transition process to a low carbon economy. To date, the TCFD framework is […]

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Multisensor Integration for UAV Indoor Navigation and Mapping

Unmanned aerial vehicle’s (UAV) indoor navigation is becoming increasingly essential for applications such as medical care, search and rescue operations, and industrial management and inspections. Indoor UAV navigation is complex and challenging due to the high dynamic scene, limited space, and, more importantly, the unavailability of global navigation satellite systems (GNSS) signals. Recently, two state-of-the-art […]

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Racism in Canadian Workplaces and the Role of Labour Unions in Advancing Equity and Anti-Racism

Racial discrimination remains a crucial issue in the Canadian labour market and in Canadian workplaces, and labour unions are a crucial actor in the fight for racial and economic justice. However, the continued discrimination experienced by racialized workers in Canada––which has only been exacerbated by the COVID-19 pandemic––presents a crucial and ongoing challenge for labour […]

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Explainable Fuzzy Deep Neural Networks for Cyber Threat Attribution

Threat attribution is crucial to detect attacks as early as possible and understand how attacks will proceed and the likely scope. This project will propose an explainable fuzzy deep neural network for cyber threat attribution. We obtain transparency and explainability via extracting fuzzy rules from DNN for cyber threat attribution. Indeed, this model, via providing […]

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