Measuring the abilities of health practitioners to motivate patients to behaviour change is important. Healthcare practitioners are rarely adequately trained on how to engage patients on it. Healthcare practitioners often aim to promote behaviour change by providing unsolicited advice, which is not conducive to promoting behaviour change, due to not considering patient motivation or perceived […]

Self-consolidating concrete (SCC) is engineered to facilitate casting and accelerate the construction process while enhancing structural performance and durability. Its high deformability allows SCC to spread and fill formwork under its own weight, eliminating the need for external vibration. The mix design of SCC is critical for achieving an optimal balance between fluidity and stability, […]

This project aims to create a system that can turn simple text descriptions of designs into detailed 3D models automatically. By combining shape grammar rules (which act like guidelines for building shapes) with advanced language-processing AI models called transformers, the system will understand natural language inputs and generate precise 3D representations known as Boundary Representation […]

Ce projet se concentre sur la production et la caractérisation du biochar, un matériau carboné aux multiples applications prometteuses, obtenu par pyrolyse de la biomasse dans un environnement pauvre en oxygène. L’objectif principal est de soutenir le développement et l’installation de deux modèles de pyrolyseurs à petite échelle dans des communautés cries, contribuant ainsi à […]

Cancer treatment by radiotherapy (RT) is essential yet complex, requiring precise radiation doses to effectively target tumors while sparing healthy tissues. This project addresses the frequent challenge of dose discrepancies-differences between the planned and delivered doses-due to factors such as patient anatomy, organ movement, and equipment variability. These inconsistencies can lead to increased toxicity or […]

This internship supports the creation of a comprehensive 80-100 page guide titled “Playing with Nostalgia” by a PhD student intern working in the field of game studies and sociology. The guide has one question: how can we use videogames to inspire people to feel nostalgic for, and thus work to preserve, the future? Research suggests […]

Obstructive sleep apnea (OSA) and chronic insomnia have each been associated with decreased levels of physical activity (PA). In turn, insufficient PA can lead to poorer sleep. For people with both OSA and insomnia – a combination called COMISA – guidelines recommend continuous positive airway pressure (CPAP) for OSA and cognitive behavioural therapy for insomnia […]

Research of metalic organic frameworks (MOFs) in direct air capture application. MOFs are a class of porous materials, often crystalline in nature, that are made of inorganic nodes bridged by organic linkers. MOFs are highly tunable porous materials, and the metal nodes can be metal ions, chains, or clusters. Given that MOFs can be constructed […]

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Since prior research on performance feedback has primarily focused on the effects of underperformance, our understanding of the mechanisms through which positive performance feedback affects firm innovation is relatively limited. To address this gap, we will explore why, how, and when positive performance feedback spurs firm innovation and technological development. Drawing on previous studies on […]

The development of lunar rovers requires research in terramechanics to understand the interactions between wheels and loose terrain. While extensive terramechanics research has been conducted on Earth, few studies have focused on adapting these findings to the Moon’s different gravity environment. This project will focus on the Granular Scaling Law (GSL), a recently utilized mechanical […]

The proposed project aims to develop a new method for finding unusual patterns in data represented as graphs, such as social networks, communication networks, or financial transactions. We proposed a novel method Graph Kolmogorov-Arnold Networks(G-KANs) to improve how we detect anomalies, which are important for identifying security threats or fraudulent activities. This project will help […]