Feather pecking (FP) in egg-laying hens, where individuals peck at other birds to pull out and eat their feathers, is a challenge for the sector with large economic and welfare implications. It is especially of concern in systems where birds are housed in large social groups as it is harder to control. With new policies […]

Capturing the impact of program performance on adolescent outcomes is an important way to understand the ways in which a program has best provided its services for optimal outcome success. However, there is limited literature on valid measurement of program success among arts-based educational programs. The project will undertake an outcome evaluation, which focuses on […]

Patients with posttraumatic stress disorder (PTSD) are characterized by decreased prefrontal cortex (PFC) regulation on hyperactive emotion generation regions, such as the amygdala. Real-time (rt)-fMRI neurofeedback allows for localized brain regions to be self-regulated through neuroimaging signal feedback. Recently within our lab, learning to decrease amygdala activation via neurofeedback was shown to normalize the neural […]

Financial markets today are monitored and controlled by artificial intelligent algorithms. Developing these artificial intelligent algorithms requires a large amount of testing against complex patterns and phenomena observed in stock market. The main objective of the proposed project is the development of a market simulator. This is highly challenging and yet promising direction that will […]

Patients with posttraumatic stress disorder (PTSD) are characterized by decreased prefrontal cortex (PFC) regulation on hyperactive emotion generation regions, such as the amygdala. Real-time (rt)-fMRI neurofeedback allows for localized brain regions to be self-regulated through neuroimaging signal feedback. Recently within our lab, learning to decrease amygdala activation via neurofeedback was shown to normalize the neural […]

Electrification of transit vehicles is a part of Ontario’s long-term strategy to reduce transportation-related greenhouse gas (GHG) emissions. However, transit agencies and utility/local distribution companies face significant technological and operational hurdles in integrating “off the shelf” electric bus technologies. The postdoctoral fellow collaborating with Canadian Urban Transit Research & Innovation Consortium will work with transit […]

Electrification of transit vehicles is a part of Ontario’s long-term strategy to reduce transportation-related greenhouse gas (GHG) emissions. However, transit agencies and utility/local distribution companies face significant technological and operational hurdles in integrating “off the shelf” electric bus technologies. The postdoctoral fellow collaborating with Canadian Urban Transit Research & Innovation Consortium will work with transit […]

Wildland fire fighting is a physically demanding public safety occupation. Front-line wildland fire fighters (WFF) must have an appropriate level of job-related fitness for safe and efficient work performance. Beginning in 2011, it was required that all WFF must demonstrate that they are capable of meeting the rigorous physical demands encountered during an initial attack […]

The analysis of protein-protein interactions is critical for understanding cell growth control, and how aberrant connections contribute to cancer and other diseases. Mass spectrometry is a critical tool in this field, but sample complexity, instrument dynamic range and resolution limit some applications. This project will evaluate the use of the SelexION ion mobility device and […]

The bacterial transferrin receptor is considered to be a potentially efficacious candidate vaccine antigen against pathogens important in human disease and in animal husbandry. Previous data suggests that transferrin receptor-based antigens can elicit protection from both invasive disease and potentially from asymptomatic colonization. One major consideration when developing vaccines is the choice of adjuvant, a […]

Financial markets today are monitored and controlled by machine learning algorithms. The primary objective of this project is to further develop the algorithm for financial market analysis and prediction that the partner possesses at the moment. The algorithm currently demonstrates high accuracy, subject to certain constraints, among which: a small time interval between a prediction […]

By studying protein complexes, scientists gain insight into how cells are regulated and how aberrations in protein-protein interactions cause disease. Mass spectrometry is a technology that allows proteins to be identified and quantified in a systematic and unbiased manner. New technologies from mass spectrometer vendor SCIEX aim to improve the throughput, accuracy and reproducibility of […]