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.
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.
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.
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”.
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).
Castle Rock Research provides quality curriculum-based educational resources to students, parents and educators, both online and in print. This project involves the design of a parameter-based statistical algorithm to automatically generate math questions for multimedia education applications. Rather than relying on a curriculum designer to create questions one by one, multiple questions can be generated by the algorithm. By varying the parameter values, the model is able to control the difficulty level of the questions.
The objective of this research is to develop a comprehensive material waste minimization program in order to enhance sustainable development and promote innovation in the residential construction field. The scope of the research will include the identification and detailed examination of the factors that contribute to residential construction material wastes, the investigation of opportunities for automation of existing methods and processes as alternatives to current practices and the implementation of best practice concepts to minimize construction waste in the industry.
Castle Rock Research provides quality curriculum-based educational resources to students, parents and educators, both online and in print. Reinforcement has been well-studied in psychology and proven to be an efficient learning technique. However, learning behavior varies from one individual to another. It is important to understand one’s learning capabilities and response pattern so as to customize the reinforcement process and to optimize the performance of individual learners.
The goal of this internship project is to develop a system for numerical modelling of the weather conditions contributing to the heightened risk of transmission system outages. A regular weather forecasting will be enhanced by specific models of the risk increasing factors, such as strong winds, freezing rain or lightening. The enhanced model will help to identify the time and location where hazardous situations are likely to occur, allowing users to make informed decisions regarding potential risk sectors and planning future expansions of existing transmission networks.
The internship research focuses on the regulation of human body composition as expressed by the ratio of lean body mass to total fat mass, a quantitative description of which is relevant to the management of obesity. Special attention will be paid to the distinction between visceral fat, which is associated with increased risk of heart disease and type 2 Diabetes, and subcutaneous fat, which imparts less risk for these conditions.