Comparing Historical and Contemporary Elements of Jasal (Suicide) in South Korea

South Korea has relatively high rates of suicide, making suicide a contemporary social issue that merits study. Korea has a long history of colonial violence, as well as decades of rapid modernization and social change. I believe the concept of suicide, and broader concepts of health for that matter, should be mapped throughout Korea’s unfortunate […]

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Real-Time VLT Player Data Personae Classification

The goal of this project is to train a machine learning model that can identify player’s personae using VLT (Video Lottery Terminal) data within a transactiontime limit. The personae are results of the previews MITACS project. Using unsupervised learning each playing session was associated with a playstyle. Identifying the playstyle as soon as possible is […]

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Natural Health Products to Manage Cancers of Dogs

More than half of Canadian households have companion animals such as dog or cat. However, cancer has become the leading cause of death in dogs. Currently, available treatments have limitations and compromise the quality of life of dogs. Adored Beast Apothecary wishes to develop unique natural health products to prevent and treat cancers of dogs. […]

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Optimization and validation of collagen fiber manufacturing

Natural biomaterials such as cotton, wool and bamboo are common biofibres due to their accessibility and high performance characteristics in textiles. However, their strictly defined composition is severely limiting, as the materials cannot be adapted for alternative uses. Thus, producing biomaterials at an industrial scale has been an active area of research, where the goal […]

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Temporal soft clustering for profiling and predictive analytics in elderly care homes

Nxtgen Care provides monitoring services for elderly care homes across North America. Their product provides detailed analysis in visual formats to understand the resident’s requirements and directing care in that direction. To meet this goal, voluminous data is collected from the various activities of the residents. Through this project, this data is processed and directed […]

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Building Service Providers’ Capacity for Research

This project will use mixed methods to evaluate the current research capacity and needs of staff at the Immigrant Services Association of Nova Scotia. Based on the needs identified, the intern will develop training modules and other resources. The intern will also identify promising practices for building research capacity of the community sector, and will […]

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Demystifying Maritime Governance:Analysis of the frameworks and emerging issues for the governance of shipping in Canada

This project will undertake research on the governance of shipping Canada (a) to explain its global and domestic structures, frameworks, actors, interconnections, and processes in the simplest terms possible and (b) to analyse contemporary major drivers of change in the system. Four transformative issue areas will be addressed, namely the interface between shipping and Indigenous […]

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Social Lead Identification

Millions of people post information on social media sites about their interests, preferences, opinions etc. on a daily basis. LeadSift mines this data stream in real-time to generate incredibly accurate and targeted sales leads. Given the short text and ambiguity around a social post, it gets very difficult to accurately identify intent. This project will […]

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Design and Evaluation of Compact Nano-Enhanced LHTES for domestic heating radiators

Globally buildings are one of the sectors that consume the most energy. Thus, strategies and technologies are currently being developed to improve the energy efficiency of this sector and to work towards a low carbon economy. Latent heat thermal energy storage systems (LHTES) are a viable solution to improve the overall performance of renewable heating […]

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Design Automation and Optimization Using Artificial Intelligence

The goal of our proposal is to develop three automated processes in the field of construction using artificial intelligence. The first process is to develop a method that can convert two-dimensional drawings into three-dimensional models that can be further manipulated on a computer. The second process is to optimize the cutting of raw materials– such […]

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