The Sex-Specific Effects of Alternating Computer Work Postures in Young Adults

Adults exposed to extended periods of static seated computer work, especially females, have elevated risks of developping musculoskeletal symptoms. However, static standing work is also associated to issues with the musculoskeletal and vascular systems. To address this, alternating between seated and standing postures has been proposed in the form of sit-stand desks; however, their sex-specific […]

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Evaluate the biodistribution of HyperMabs protein biologics therapeutics

HyperMabs is a biopharmaceutical company that designs and develops innovative therapeutics targeting lung diseases. HyperMabs is currently evaluating a drug candidate developed using in-silico methods to target lung disease. For this project, we aim to study the biodistribution of HyperMabs therapeutic, currently in its pre-clinical stage designed to treat several lung diseases. To achieve this, […]

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Modelling cavitation erosion risk in a hydraulic turbine

Hydro power generates a large proportion of Canada’s electricity, and is by far the largest source of renewable energy. Modern hydraulic turbines are highly optimized with respect to size (cost), power output and efficiency. One of the main factors limiting further efficiency increase is cavitation. Cavitation occurs where the local static pressure drops below vapor […]

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Parallel multibody solver coupling algorithms

This project concerns the efficient simulation of constrained-multi body systems with applications in training simulations. For instance, a crane on a construction site can be modeled and simulated as a collection of rigid bodies connected by rotational joints. Simulation of contact and friction is similar but a challenge because the force is bounded (i.e., forces […]

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Machine Learning Techniques for Short-Term Electric Load Forecasting

Once produced, electricity is difficult to store in large quantities. Hence, accurate electric load forecasting is of critical importance to balance production and consumption for modern power grids integrating more and more intermittent renewable energy and variable loads such as electric vehicles. Short-term electric load forecasting for local areas is also of interest to efficiently […]

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Development of a standardized assay for after cooking darkening by which to support cultivar selection for breeding program and timing from storage for optimum processing (continued).

Two types of color changes occur in potato, raw potato darkening and after cooking darkening. We are investigating the factors behind each type of darkening in three potato cultivars (Chieftain, Goldrush, and Yukon Gold). Effect of digging method (hand/mechanical) and storage time (after 3, 5, and 7 mo) were studied to find if the digging […]

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Big Data Research for Open Source Applications

Big data is a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications. The challenges include capture, curation, storage, search, sharing, transfer, analysis, and visualization. In this internship, we analyze a real-world big data set(s) to make sensible inferences by […]

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Generating Personalized Exercises in an Intelligent Tutoring System

Intelligent tutoring systems (ITS) are computer programs powered by artificial intelligence that can automate the tutoring process. They have the potential to provide low cost and highly scalable one-on-one tutoring to students around the globe in real-time. Their continued improvement is exciting for the future of education, and should be encouraged. Recent years have seen […]

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Estimation the cost of metal manufacturing

Cost estimation is a critical part of manufacturing. It has a significant role in determining the feasibility of decisions including design stage, planning and production methods. Especially, it is useful for subcontracting processes that GRAD4 conducts where the features of parts are submitted and bidding is the way of the deal between suppliers and buyers. […]

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Project A: Feasibility study for the use of saliva samples to understand the Pharmacokinetic (PK)/Pharmacodynamic (PD) relationship for a developmental therapeutic

HyperMabs is a protein engineering company focused on the development of therapeutics for diseases with high unmet need including Covid-19. The role of the Translational Science Team is to discover and develop biomarkers that indicate pharmacodynamic response to the company’s therapeutics as well as support the relevance of the targeted biological pathways in diseases of […]

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Project B: Support indication selection for HyperMabs’ developmental therapeutic by building translational rationale for target prevalence.

HyperMabs is a protein engineering company focused on the development of therapeutics for diseases with high unmet need including Covid-19. The role of the Translational Science Team is to discover and develop biomarkers that indicate pharmacodynamic response to the company’s therapeutics as well as support the relevance of the targeted biological pathways in diseases of […]

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Arts’ Civic and Social Impact Beyond Covid-19: Researchers in Residence

Four research interns will be supported by four arts funders, five universities and four arts and culture organizations, which will come together under the leadership of Mass Culture to see how the arts and culture sector impacts society today. Together, we will look at ways to strengthen community ties and foster shared social values through […]

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