Application of Spatial Statistics to Quantify Mixing and the Potential for Reaction

Many chemical reactions can produce unwanted byproducts which require additional purification steps and lead to unwanted waste. Additional purification steps consume large amounts of energy, and waste products can have a significant environmental impact. The chemistry can be modified so that the desired products are favored over the unwanted byproducts, and the mixing can be intensified so that molecules are more rapidly and intimately mixed. Both of these approaches will reduce byproducts.

Benefits to Poultry Value Chain Participants of Providing New Producer Incentives for Improved Quality

This project will provide information to Canadian chicken producers and processors that will help them to produce high-quality chicken more efficiently. This objective will be achieved by rewarding producers for their quality-contributing production efforts. The analytical emphasis will be on reviewing and assessing selected, successful quality-rewarding pricing schemes in the poultry industries outside of Canada, and on developing the key elements of a pricing scheme for Canadian chicken producers that explicitly integrates selected, novel quality traits.

Mathematical and statistical synthesis of sea lice and salmon population dynamics in the Broughton Archipelago

The David Suzuki Foundation, a science-based Canadian environmental organization, and an intern from the University of Alberta will analyze data on sea lice and Pacific salmon population dynamics using mathematical and statistical techniques.

Planning Models for Emergency Medical Services Operations

The purpose of this project is to study the policies used to relocate ambulances in the City of Edmonton. The main goal of this internship is to improve the performance while minimizing the effects on ambulance crews’ workload. With this purpose in mind, the first step is to put in place a software simulation as a test bed to evaluate new solutions proposed (with the added advantage of being useful to evaluate changes in other areas). The second step will be to develop new models useful to analyze and improve on the ambulance relocation policies in use.

Development of a Temperature-dependant Elastoplastic Constitutive Model for Metals and Alloys

The test characterization of the stress-strain relationship and the fatigue/failure behaviour under combined mechanical-thermal cyclic loadings for pressure vessels in the petrochemical industry is quite expensive and time consuming. An alternative approach is the finite element numerical analysis which requires an accurate and reliable mathematical constitutive model for the metallic materials. In this project, a temperature-dependent elastoplastic material model will be developed.

Prediction of Complex Molecule Structures with HDX Mass Spectrometry-guided Molecular Dynamics Simulations Part II – Generalization and Parametrization

Hydrogen/deuterium exchange mass spectrometry (HDX-MS) is a powerful emerging experimental technique which provides important information about the solvent exposed area of complex molecular systems that is not readily available through existing technologies. HDX-MS can be applied to the specific cases of small molecules binding to protein systems, which is very important for the understanding, and new design, of therapeutic compounds, including chemotherapeutic cancer drugs.

A Mathematical Framework for Modelling Forest Fire Spread

Computer prediction models for forest fires are of great value to wildfire management. The goal of this project is to analyze the mathematical model used by the Wildfire Science Unit in their Prometheus fire prediction software package. In particular, the internship will work on the development of a robust software package which includes 3-D features such as valleys and ridges. Such a software extension will require a detailed analysis of the 3-D equations used in the package which govern fire propagation.

Building Information Model for the Automation of Residential Design and Construction

This research project will automate construction drawings for wood framing designs and apply them on site to residential facilities under construction by Landmark Master Builder. By utilizing 3D modelling, the intern will produce automatically-generated sets of construction drawings that can be easily read and understood by carpenters and framers who assemble wall panels, thus eliminating the drafting time involved in such operations. The intern will also provide an exact take-off list of materials required for construction and an optimization model.

Asset & Liability Management – Forecasting Volume and Duration of Core Demand Deposits

Demand deposits accounted for more than 27% of the total liabilities of Canadian Western Bank at the end of 2006. These deposits have no specific maturities and may behave as current liabilities or as longer maturing liabilities. The bank pays lower interest on the demand deposits than on the most part of fixed-term deposits. If we can estimate the portion of the demand deposits that act as longer-term liabilities, we can invest that amount in assets with a higher rate of return. This amount is referred to as “core deposits”.

A Statistical Model to Assess Cognitive Skills

Castle Rock Research provides quality curriculum-based educational resources to students, parents and educators, both online and in print. Assessment of learned knowledge needs to focus on two distinct aspects: knowledge retention and associated cognitive skills. Knowledge retention not only refers to the ability to recall learned facts but also the ability to understand the relationship between these facts (ie to understand the structure of the learned domain knowledge).

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