This project was in partnership with AUTO21. The focus of the research project is to raise awareness and knowledge of the public about the importance of booster seats for children aged 4-9. The specific objective of the internship is to evaluate the impact of Canadian booster seat legislation on motor vehicle occupant fatalities and injuries, especially spinal cord injuries, amongst children aged 4-9.
The proposed study explores the information practices of new immigrants in large, urban cities in Canada with respect to their choices regarding mobile phone services. The research goals are to (1) assess how mobile phones fit within the information practices of newcomers (2) understand when and where newcomers get information about mobile phone services in Canada, and(3) identify patterns of use and perceptions of service about mobile technologies among newcomers.
The proliferation of wireless devices has demanded improvements of wireless communication technology. Panel antennas are a type of reflector antenna in which an array of driven elements is mounted in front of a flat, metallic reflector. When designing, optimizing or perhaps just selecting a commercially available antenna, electromagnetic characteristics are generally the most used parameters to judge the efficiency and adequacy of an antenna.
The intern will generate DNA sequences to make modified verotoxin proteins that will effectively disrupt the breakdown of a mutant protein (the CFTR protein) that is found in patients with cystic fibrosis. The mutant CFTR protein has normal function but is degraded in cystic fibrosis individuals because of the mutation. The modified verotoxin will reduce the breakdown of the CFTR protein, and hence increase expression of the mutant CFTR protein and subsequent restoration of normal function of cells expressing CFTR protein.
Many Canadian municipalities have targets for reducing their greenhouse (GHG emissions, but most are struggling to develop and implement strategies for substantially reducing GHGs. This research project develops an on-line, interactive software tool that municipalities can use to develop GHG reduction strategies.
Amorfix Life Sciences has had success producing highly specific antibodies, which can be used to diagnose disease. The company has recently gained access to an algorithm (ProMISTM) which allows to predict antibody targets on proteins in their diseased state, allowing development of very specific antibodies with diagnostic and therapeutic potential. The proposed project involves a comprehensive approach of identifying suitable protein targets involved in disease for the new algorithm by extensive database and market report mining.
The research project will be to develop a computational fluid dynamics (CFD) model of the Proceptor. The function of the Proceptor is to separate grease from contaminated water streams. The objective of this research is to study the separation process in greater details to reinforce and enhance the company’s understanding of the Proceptor design. Two commercial software products, Fluent and CFX, will be considered for building the model. The model will be validated using available experimental data.
In this project we proposed to use mathematical programming approaches to an optimization problem where a depot has to stop receiving orders from stores and fulfill the received orders using trucks. The depot can use different cut-off times to different stores and considering order arriving patterns and transportation efficiency. We will develop heuristic and exact algorithms to the optimization problem with an objective of maximizing the sum of orders processed in a day. The optimization is subject to varous contraints such as transportation capacity and delivery time window.
The focus of this project will be to model and optimize the scheduling of clinics at PMH-assigning clinics to clinic areas and clinic timeslots. The objective will be to improve the current schedule with respect to key performance metrics. These metrics will include clinic overtime, the equality of the distribution of demand on shared resources and the volume of patients which are able to take advantage of same day inter-clinic referrals.
The research project is to investigate a multi]factor multi]asset extension of the Hestonf93 stochastic volatility model for comprehensive Credit Value Adjustment calculation and Commodity Counterparty Credit Risk methodology. The extended model covers counterparty hazard rates correlated with the underlying and interest rates in order to model wrong]way exposure.