Evolution of digital access modes in Employee and Family Assistance Programs

Shepell·fgi is a leading provider of Employee and Family Assistance Programs (EFAPs) for domestic and global clients. As digital technology and online social networks became increasingly important, Shepell·fgi added new digital services (First Chat, Video Counselling, Online Access, and other online programs) other than the traditional delivery channels (telephone and in-person appointments). Many recent studies […]

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The impact of PCV13 vaccine program discontinuation on herd immunity decay and serotype replacement: a mathematical modeling study

The clinical and cost effectiveness of immunizing children WIth PCV7 and PCV13 is well established in the scientific literature. However the success of pneumococcal conjugate vaccines in children has given rise to questions from payers regarding whether continued investment in PCV13 for children is needed. The proposed research project undertaken by the intern will help […]

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Évaluation statistique et prévision de la performance de gestionnaires d’actif

Ce projet porte sur l’évaluation de la performance de gestionnaires de fonds de placement. Plus spécifiquement, dans ce projet on cherche à développer des outils qui permettront à la compagnie de déterminer, à partir de données sur ses rendements passés et sur le rendement d’indices de marché appropriés, si un gestionnaire d’actif a été significativement […]

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The Characterization and Simulation of Futures Markets

Current financial models do an inadequate job of capturing the nuances of actual market movements and often exclude the characteristics that would differentiate the resulting data from randomly generated data. The project will identify the key market characteristics that encompass actual market movements by extending current pricing models to encompass those characteristics that are deemed […]

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Impact of early vaccination during influenza outbreaks

Vaccination is an important preventive measure against influenza infection during both seasonal epidemics and pandemic outbreaks. This research aims to understand the effect of early vaccination during influenza outbreaks. The objectives are to measure the effectiveness of early vaccination in terms of reducing disease burden (e.g., infection, hospitalization). We apply an important methodology, namely mathematical […]

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Mathematical and Computational Techniques for Cytotoxicity

The study of toxicity is to investigate the adverse effects of chemical and physical agents on living organisms and biological systems, and it is an important topic in the health and environmental sciences. In recent years, Alberta researchers has made great progress and contribution towards developing an innovative toxicity profiling program, and tremendous data sets […]

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Effect of influenza vaccination with high-dose antigen on geriatric population

Vaccination is an important preventive measure against influenza infection during both seasonal epidemics and pandemic outbreaks. This research aims to evaluate the health benefits and costs associated with a new vaccine developed by Sanofi for seasonal influenza. This vaccine provides better efficacy and higher protection for individuals over 65 years of age. The vaccine is […]

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Production planning at Wesgar

Wesgar is a factory that produces metal sheets for its customers. After a product is ready, it will be delivered to the customer. The objective of this project is to improve the On Time Delivery. At Wesgar they have different machines in their production system. These machines are able to process different products based on […]

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Development of a hybrid seismic data inversion method for determining well-drilling location at complex geophysical area

Due to the current economic downturn, especially the lower crude oil price, the drilling success rate become the most important goal for any oil/gas company. For a start-up company, any failure in drilling will be a disaster. To this end, the Deep Treasure Corp wishes that through the combination of mature hydrocarbon prediction techniques and […]

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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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Modelling challenges in the fundamental review of the trading book

Upcoming changes to financial regulation and oversight are creating increased demands for the accurate measurement of financial market risks and the provisioning of adequate economic capital to ensure that financial institutions can withstand market shocks and extreme events. The objective of this research project is to study issues related to the theory, performance, and practical […]

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Proxy models for Thermal Production Optimization

Amid the tough challenge of dwindling oil prices, GE is seeking for new technology to create production forecasting and optimization tools that simulate the real operating environments and optimize across the entire process, providing actionable insights that help producers achieve their cost, production, and environmental goals. The objective of this project is to develop data […]

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