The influence of social adversity on cardiovascular aging

Cardiovascular disease (CV) is a leading global cause of death, primarily linked to aging, but influenced by various factors like inactivity, poor diet, and limited healthcare access. Social adversities, such as social isolation and challenging childhoods, also significantly impact CV health, weakening the immune system and altering genes. Understanding how social challenges affect CV health […]

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A generalizable bilevel reinforcement learning model to solve large-scale unrelated parallel machine scheduling problem with sequence-dependent setups in real-time

Our research addresses the challenges in solving large-scale parallel machine scheduling, an important combinatorial optimization problem in computer science and operations research. With applications ranging from manufacturing to healthcare and supercomputing, our goal is to provide a real-time solution for instances exceeding 1,000 jobs. In this research, we explore the application of parallel machine scheduling […]

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Investigation of Autonomic Responses Derived from Polysomnography in Obstructive Sleep Apnea Patients Using Signal Processing Techniques

Obstructive Sleep Apnea (OSA) is an important respiratory disease characterized by recurrent blockages of the throat (‘upper airway’) during sleep. These blockages result in short lapses in breathing. The low oxygen levels and disruption of sleep caused by OSA contribute to many problems including sleepiness, poor quality of life, awakenings during sleep, hypertension, heart disease, […]

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Synthesis of Cell-Permeable Copper Chelators for Detecting, Sensing, and Therapy

For this new international collaboration we plan to develop cell-permeable metal binding agents as therapeutics to treat Wilson’s disease. Wilson’s disease is a genetic disorder that results in the build-up of excess copper in the liver, leading to significant toxicity. By drawing on the expertise of the research teams in Canada and Brazil we plan […]

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Redefining Agri trends for a better future

BC potato industry is facing a burning problem of finding low value for its second grade potatoes. The sponsor, Heppells Potato Corp, being the largest producer of potatoes in BC is facing the same problem of finding optimized value for its second grade potatoes. Currently these potatoes are just culled. But the market value of […]

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Project FURTHER: Physiological determinants of female ultra-endurance running

Very little research has explored ultra-endurance running, particularly in females (15% of tested subjects). We therefore have a very limited understanding about human performance, and specifically female physiology, with ultra-distances >350 km. Lululemon Athletica inc. has sponsored an initiative ‘Project FURTHER’ whereby ten females will attempt to run as far as possible within a 6-day […]

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Development of new techniques for dynamic security assessment of power systems

In power systems, dynamic simulation studies are required to ensure safe and secure operation of electrical grid. In these studies, different devices, such as generators and transmission lines, are represented by a mathematical model with a number of predefined parameters. The accuracy of the simulation studies highly depend on the models used for different components. […]

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Sustainable Wildfire Prevention Using RPAS and Computer Vision

This research project in Canada focuses on sustainable natural resource management, particularly in forest areas. By integrating Remotely Piloted Aircraft Systems (RPAS) and Computer Vision (CV), the project aims to improve forest fire prevention and management. Collaborating with industry partners like Spexi Geospatial, the team combines academic research with practical solutions to enhance AI-driven environmental […]

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Using Machine Learning Techniques to ImproveAutomatic Keyword Extraction from Textual Web Content

This internship aims to implement an advanced system for automatic keyword extraction from textual web contents. Keyword extraction not only provides a concise and salient representation of a document, but also can be used in web-based applications such as efficient indexing, intelligent tag recommendation, and contextual advertising. In this research project, a hybrid keyword extraction […]

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Towards Causal Deep Learning to Model Ecosystems’ Response to Environmental Change

In ecological applications, Machine Learning (ML) predictions are used to make predictions about alternative scenarios. Such alternative scenarios however can change the distribution of features that the ML model relies on for predictions. The implication is that such uses-cases implicitly expect the ML model to generalize outside of the observational distribution. Unfortunately, this is often […]

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Determining the effectiveness of GIS habitat models for beaver (Castor canadensis) to locate watercourses with high beaver habitat potential in British Columbia

Streams and rivers benefit people and wildlife. Climate change has caused streams and rivers in British Columbia to become drier. Man-made dams retain water but are difficult to maintain. North American beaver (Castor canadensis) build dams that retain water, and quickly repair damage, which help solve man-made dam challenges. Ducks Unlimited Canada wants to use […]

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