Alumni Association Cheque Presentation

Presentation of the Alumni Association cheque at the sod turning ceremonies for the Science Complex in 1982. Pictured here from left to right are: R. Misener, Chancellor; Geoff Borland, president, Alumni Assocation; Ginny Gilbert, Alumni Officer; and Don Bethune, honorary chairman for Alumni Association Fundraising.

A demonstration of educational craft : an outdoor educator's autoethnography

Ellis (2004) argues that auto ethnography is a methodology that begins with the researcher as the site of study. Employing a qualitative storytelling structure shows, instead of tells. As the audience reads, they are encouraged to relate the research to their experiences, provoking reflective knowledge development. As an outdoor educator, I began to question the nature of my craft and how it was being shaped by my personal educational philosophy. So, drawing on a reflective journal I kept while employed as an outdoor educator in 2007, three outdoor educators published narratives, and a historical review of newspaper articles about Ontario-based outdoor education, conducted an autoethnographic inquiry and built a fictional story about my craft. I exposed five faultlines or areas of ideological tension, shaping my views about outdoor education and my craft.

Bio-inspired optimization & sampling technique for side-chain packing in MCCE

The prediction of proteins' conformation helps to understand their exhibited functions, allows for modeling and allows for the possible synthesis of the studied protein. Our research is focused on a sub-problem of protein folding known as side-chain packing. Its computational complexity has been proven to be NP-Hard. The motivation behind our study is to offer the scientific community a means to obtain faster conformation approximations for small to large proteins over currently available methods. As the size of proteins increases, current techniques become unusable due to the exponential nature of the problem. We investigated the capabilities of a hybrid genetic algorithm / simulated annealing technique to predict the low-energy conformational states of various sized proteins and to generate statistical distributions of the studied proteins' molecular ensemble for pKa predictions. Our algorithm produced errors to experimental results within .acceptable margins and offered considerable speed up depending on the protein and on the rotameric states' resolution used.