NUR77 AND RXR: NEW TARGETS IN DRUG-INDUCED DYSKINESIA

Drug-induced dyskinesia is a debilitating side effect induced by anti-parkinsonian and antipsychotic drugs. Frequency can reach 80% in Parkinson’ disease and around 50% in schizophrenia patients treated with typical antipsychotics. Treatments for dyskinesia currently available have a very limited impact and generate important side effects. We have identified a new pharmacological target that may offer […]

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Somatostatin signalling and diabetes

The prevalence of diabetes is growing rapidly and currently, over 60 million people worldwide use insulin treatment to manage their diabetes. However, insulin treatment can result in hypoglycemia or low blood sugar levels. To date only retroactive treatments are available to treat hypoglycemia, which affects an individual’s quality of life and increases the likelihood of […]

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Industrial application of Surface Enhanced Raman Scattering (SERS) for detection and monitoring of water pollutants

When light interacts with matter, different effects may take place, depending on the particular characteristics of both light and matter. The result of this interaction, typically a quantitative change in the characteristics of the light (i.e., intensity, wavelength, phase), can be used to measure the presence of a particular specimen of interest. Specifically, Surface-enhanced Raman […]

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Development of new methods for metabolomic screens

In this project we aim to generate simple assays similar to commercial pregnancy tests that can detect the presence of specific molecules (metabolites) related to disease conditions. We will use our knowledge and experience to generate easy-to-use strips that will allow specific detection of health-relevant metabolites that can be used in clinical or at-home settings […]

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Design and Implementation of a Framework for Performance Management in Service Oriented Virtual Organizations (SOVO PM)

In this research, we propose a framework for performance management in virtual organizations (VOs) equipped with service oriented architecture (SOA). This framework enables networks of organizations to evaluate and manage their collaboration performance and also to align and coordinate their various goals and objectives. Distributed management of VO will be enhanced to reduce the necessity […]

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Rhetorical foundations of procedurally generated game worlds (IMMERSe)

The PC and console video game market have overtaken Hollywood movies as the number one source of entertainment dollars spent in North America. Very little work has been done to date on the effects that these games are having on (particularly young) players. This project will take well established rhetorical principles (Burke, Fahnestock, Perlman) that […]

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Real-Time Modeling and Simulation of Alternative Modular Multilevel Converter Topologies

By creating real-time and hardware porotypes, the proposed research provides opportunities for better investigation of these converters and for development of advanced and effective methods for their control. The three interns that will be trained during this research partnership will gain in-depth knowledge of modern power system equipment and knowledge of the latest developments in […]

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Effects of Dietary Fatty Acids on Overwinter Survival of Underyearling Striped Bass (Morone Saxatilis)

To achieve the goal of commercializing striped bass aquaculture in Nova Scotia, the obstacle of high (up to 100%) overwinter mortality among young-of-year fish needs to be overcome. Mortality is restricted to fish that are under one year old (underyearlings, 500g) suffer negligible mortality. Potential factors for such low survival rates identified through four years […]

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Optimizing Natural Fibre Quality for Industrial Applications

Natural fibres are abundant in Canada and have the potential to be used in a wide variety of biocomposites and industrial bioproducts. In order to develop a thriving biomaterials sector, the quality and consistency of this vast resource must be continually assessed and monitored to ensure a quality product can be delivered to end-users on […]

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Machine learning in fluid composition quantification

A critical issue in the oil and gas industry is to quantify the composition of fluids flowing back from the hydraulic fracturing process. This quantification is usually carried out by a manual process (frequently via a visual test) to estimate the water and oil produced from a well flow back process. A sample of these […]

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Harrison River Watershed Salmon Habitat Restoration Assessment

Many of the Harrison River tributaries no longer support historic levels of salmon productivity because of barriers to fish passage, loss of in-stream structural complexity, and ingress of invasive species. The Sts’ailes Fisheries Group has identified the need for an investigation of the historic and current stream characteristic to identify future fisheries restoration opportunities along […]

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