Lab-on-a-chip Nanosensor for Vitamin Detection

Vitamin deficiencies are one of the key reasons for infant deaths and a variety of diseases for adults including breast cancer, prostate and cervical cancer, rickets, schizophrenic depression, etc. An invention of a low-cost Lab-on-a-Chip (LOC) microfluidic platform for the detection of Vitamin D and Vitamin A would be an answer for the potential multi-billion dollar market around the globe and represents one of the most desperately needed devices to enhance public health and prevent vitamin deficient related diseases.

A N-Dimensional Vector Mining Visual Analyzer for the Surveillance of Live-Stock Production Systems in Alberta

Animal heath surveillance is concerned with not only the disease in animal populations, but also with animal pathogens and diseases that affect humans. The objective of this project is to develop a system which can model the livestock production activity data, flow, weather pattern and disease history appropriately so that events can be more easily and effectively analyzed in time and spatial domain. Moreover, the system output needs to be presented in ways that are simple to understand and easy to work with.

A Comparative Analysis into the Choice Behavior of Consumers with Celiac Disease

Celiac disease is a common autoimmune disease triggered by dietary gluten proteins from wheat, barley and rye. This internship will enable the development, implementation and analysis of a web-based consumer survey among celiacs in North America.

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.

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.

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.

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.