This project aims to investigate the pharmacology of norbaeocystin, baeocystin, norpsilocin, and aeruginascin – four compounds found in psychedelic mushrooms. The research will examine how these compounds interact with specific brain receptors – the 5HT-1A, sigma-1 and a-adrenergic receptors – that may contribute to the therapeutic effects. These compounds may have potential for the treatment […]

This project explores how countries are managing the shift from fossil fuels to clean energy, with a focus on just energy transitions that aim to provide an equitable transition for workers and local communities. The research focuses on Colombia’s national state-led just transition plan. By conducting on-the-ground fieldwork, the project will examine whether the financial […]

Ce projet de recherche vise à mieux comprendre une maladie rénale fréquente chez les enfants, appelée syndrome néphrotique idiopathique (SNI). Cette maladie peut prendre deux formes principales, dont l’une (la HSF) est plus grave et répond mal aux traitements habituels. Aujourd’hui, il est très difficile de distinguer ces deux formes dès le début de la […]

This project will support research on a pest insect called the lesser clover leaf weevil, which damages red clover seed crops and currently requires frequent insecticide use. The goal is to develop a safer and more targeted control method using natural scent cues that the insects rely on to find mates and food. To do […]

Mixed methods research—combining quantitative and qualitative approaches—has become increasingly important in psychology and the social sciences for addressing complex, real-world questions. However, there is no shared standard for defining and evaluating rigor across mixed methods studies. This project tackles that gap by conducting a Delphi study, an iterative method of gathering expert feedback to build […]

This project develops a unified multimodal sensory analytics framework to monitor remote aquatic ecosystems using video, sonar, and environmental sensors. By combining these complementary data sources, the system can operate continuously across a range of challenging conditions such as low visibility, night-time, or remote locations with limited infrastructure. The project is a collaboration between Simon […]

Efficient real-time scheduling of bus operations remains a critical challenge in urban transit systems, particularly under uncertain traffic conditions and high passenger demand variability. Our existing Double Deep Q-Network (Double DQN) implementation has demonstrated promising results in learning optimal holding and stop-skipping policies for bus operations. However, as urban networks grow in complexity and require […]

Rolling bearings are essential components in rotating machinery. The growing demand for real-time condition monitoring has led to the development of smart bearings integrated with advanced sensors. However, conventional sensing technologies often suffer from limited sensitivity, a lack of temperature compensation, and installation difficulties. Fiber Bragg Grating (FBG) sensors offer a promising alternative, featuring high […]

Les poissons ressentent la douleur mais cette perception n’a été reconnue que très récemment. Pour cette raison, l’étude des traitements analgésiques en est encore à ses débuts chez les poissons. Pourtant, de nombreuses situations impliquent de la douleur chez ces espèces, comme des plaies traumatiques, des fractures, ou des chirurgies réalisées dans un contexte de […]

This project aims to develop computer models that can help improve how stroke care is delivered in hospitals with limited resources. By using data and predicting patient needs, we hope to design better ways to manage hospital staff, equipment, and patient care. The collaboration between Arizona State University and Dalhousie University will combine expertise in […]

Governments around the world are making considerable efforts to promote renewable energy generation in electric power systems, and to promote technologies such as electric vehicles to replace fossil energy by green electric energy in order to combat the adverse societal impacts of global warming. However, the rising uncertainties in power generation from renewable resources and […]

This study investigates the feasibility of reducing metallurgical slag to obtain reactive oxides which, when combined with hydroxyapatite, can form a thermophosphate of high agronomic value. Metallurgical slag is an industrial waste product rich in calcium, iron, and silica, which can be reused in fertilizers. Hydroxyapatite, on the other hand, is a stable source of […]