Brock Frosh Beanie

This Brock Frosh Beanie from around 1965 is made of red and blue felt with white stitching. An identification button with 'Barb' inscribed on it with black marker is attached to the left side. The Frosh Beanie and identification button were available for students to purchase immediately after registration.

Side View

The view of the alumni greenhouse from the west side.

Decoding algorithms using side-effect machines

Bioinformatics applies computers to problems in molecular biology. Previous research has not addressed edit metric decoders. Decoders for quaternary edit metric codes are finding use in bioinformatics problems with applications to DNA. By using side effect machines we hope to be able to provide efficient decoding algorithms for this open problem. Two ideas for decoding algorithms are presented and examined. Both decoders use Side Effect Machines(SEMs) which are generalizations of finite state automata. Single Classifier Machines(SCMs) use a single side effect machine to classify all words within a code. Locking Side Effect Machines(LSEMs) use multiple side effect machines to create a tree structure of subclassification. The goal is to examine these techniques and provide new decoders for existing codes. Presented are ideas for best practices for the creation of these two types of new edit metric decoders.

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.

A Multi-Objective Genetic Algorithm with Side Effect Machines for Motif Discovery

Understanding the machinery of gene regulation to control gene expression has been one of the main focuses of bioinformaticians for years. We use a multi-objective genetic algorithm to evolve a specialized version of side effect machines for degenerate motif discovery. We compare some suggested objectives for the motifs they find, test different multi-objective scoring schemes and probabilistic models for the background sequence models and report our results on a synthetic dataset and some biological benchmarking suites. We conclude with a comparison of our algorithm with some widely used motif discovery algorithms in the literature and suggest future directions for research in this area.

Registration of a Birth - Edith Louise Cowan

A birth registration for Edith Louise Cowan. The birth is dated as August 24, 1885, and the date of issue for the certificate is November 8, 1927. Place of birth, Thorold. County of Welland.

Photograph - Julia Cleveland Woodruff, Side angle Pose

Black and white photograph, mounted on board, 7 cm x 4 cm, of Julia in a side angle face pose. This photo was taken by Fred Pfaff of Peach Street, Erie, Pennsylvania.

Photograph - Margaret Julia Woodruff Band, Side Angle Lace Dress

Black and white photograph, 23 cm x 17 cm, of Margaret Julia Woodruff Band in a seated position, taken from a side angle. She is wearing a lace dress. The photo was taken by Dudley Hoyt of New York.

American Falls from Canadian side, Niagara, U.S.A.

The description reads "(12) American Falls from the Canadian side, Niagara, U.S.A."

Whirlpool and River View from Canadian side, Niagara

The description of the image reads "(18) Looking over the 'Whirlpool' and down the River - from Canadian side - Niagara, U.S.A."

Horseshoe Falls, Canada Side

The description of the image reads "29 Horseshoe Fall - Canada Side".