The Neurobiology of Anorexia Nervosa: integrating cellular mechanisms into brain circuits

Anorexia Nervosa is an eating disorder characterized by exaggerated weight loss, fear of gaining weight, self-depreciation. It mostly affects young women and is most likely have the highest death rate of any other mental illnesses and of many diseases in general. Anorexia is notoriously treatment refractory and the main explanation is the poor understanding of the dysfunctional brain function that underlies it.

Scientific Validation of the CBI Workplace Solutions Pre-Placement Functional Assessment for Canada Post Delivery Agents

The purpose of this project is to conduct a scientific evaluation of pre-placement functional assessment for Canada Post delivery agents. Within the project, the research team will evaluate how delivery agents (letter carriers) perform mocked-up work tasks (based on actual job tasks observed in the field). Then the research team will evaluate how delivery agents perform the pre-placement functional assessment.

New methods and applications for monitoring bacteria inwater

We have previously developed and commercialized a bacteria detection technology that is now being marketed for testing E. coli and coliform bacteria in water. The work proposed here will provide tests for additional bacteria types, and new applications of current tests. Each new test will be a combination of new sample handling methods and additional test ingredients, as needed. Our partner is Pathogen Detection Systems, Inc. (PDS), a subsidiary of Veolia Water in Veolia's Endetec group.

Validation of the Performance of an Embedded Sensor for Monitoring the In-situ Strength of Concrete at Low Temperatures

This project is designed to verify the performance of a wireless Smart-Rock™ sensor that is embedded in concrete during construction for non-destructive quality control at low temperatures. Various laboratory experiments will be conducted using the smart sensor at Queen’s University on different concrete mixtures at low temperatures. The data from these sensors are analyzed using a proprietary algorithm to estimate the compressive strength of concrete in real-time. The results will be validated against those obtained by direct compression test on cylindrical specimens.

Driving fuel cell technology in cars of the future

With a demonstration fleet of B-Class F-Cell vehicles unveiled in 2010, Mercedes-Benz has established itself as a key competitor in this emerging market. The breakthrough came as a result of thousands of hours of research and development into fuel cell technology at Mercedes-Benz’s North American pilot manufacturing plant.

Direct analysis of food by electrothermal vaporisation coupled to inductively coupled plama optical emission spectrometry

With the help of a graduate student, develop methods based on electrothermal vaporisation (ETV) coupled to ICP-OES for the direct multi-element analysis of food, with a focus on food items, such as rice-based or soy-based products that may contain significant levels of toxic elements. If there is time, develop a method allowing the direct speciation analysis of elements, whose chemical form determines toxicity, in the solid so as to determine the portion that is actually toxic.

Spatial and Temporal Linear Induction Motor Harmonics

Linear Induction Motors (LIMs) are used in a significant portion of existing rail transport systems, and Bombardier Transport Canada Inc. is a global leader in the industry. LIMs will be ever more important in the future with the expansion of Maglevs globally. In this project, the intern will explore the mathematical models used in designing LIMs. The main objective will be improving the mathematical treatment in order to increase the efficiency of LIMs and eliminate or minimize undesirable effects such as overheating.

Stochastic inversion of geophysical and petrophysical data to develop an integrated 5-8 Block Model

This project aims at exploiting existing geophysical and petrophysical data to develop an integrated geological model of the 5-8 block of the Raglan mine in Northern Quebec. In contrast to previously conducted analysis of individual datasets, a weighted stochastic inversion of combined datasets will be conducted. Determining the synergies between the diverse rock parameters will lead to improved knowledge about the geometry and material properties of the 5-8 block. Ultimately, this will result in enhanced metal recovery and economic benefits to the Raglan mine and the greater community.

Machine Vision Based System for the Recognition and Counting of Indian Coins

Counting coins, with speed and accuracy, has been a challenging issue for banks and stores. People used to count coins manually before the arrival of coin counting machines. The process of counting coins manually is a very time consuming and tedious job. Moreover, mistakes are likely to occur due to various reasons such as fatigue, eye tiredness and too many coins of nearly same shape and size cause confusion in sorting and counting. Coin sorters are common in North America and can be found in most commercial banks and even some grocery stores.

Production of ODS steels

The University of Science and Technology Beijing (USTB) has a world-class advanced powder metallurgy lab. I will be taking small particles of steel (iron) and using a heated hydraulic press combine the fine powder into a hard sheet. I'll be adding into the mix a small amount (much like adding chocolate chips to a muffin mix) of special namometer sized oxide particles (think like ceramic beads) that will improve the steels mechanical properties (strength, temperature resistance, etc.). This is called oxide dispersion-strengthened (ODS).