Programming of long-term digital memory storage devices is currently not an optimised process. This is due to the fact that the exact physical mechanisms that allow for a data bit to be reliably stored and read are not well understood. As a result, in order to produce high quality, long-lasting, reliable memory cells, the manufacturer […]

Local site conditions can strongly influence the amplitude and duration of ground motion during an earthquake. Therefore, it is necessary to analyze and understand the mechanical properties of soils. By testing the same samples with similar conditions in different devices we can obtain more accurate results for dynamic loading tests and imitate the stress history […]

Loss of skeletal muscle integrity arising from disease, injury, or genetic conditions is debilitating to human health and happiness. Efforts aimed at identifying drugs that improve skeletal muscle strength and form relies on assays of cells grown within two-dimensional culture dishes. While this format has served the community well for several decades, three-dimensional tissue models […]

Carbon dioxide, a green-house gas that contributes to global warming. It is overabundant and therefore inexpensive. Nowadays, there are many attempts to use carbon dioxide as carbon source in variety of products, such as plastic, foams, fuel etc., which will reduce its amount in atmosphere. However, for now most of these methodologies are not efficient […]

When an individual enters a company, the interaction between the company and individual is expected to increase. If it does not increase to an appropriate extent, the individual leaves the company based on his/her past experience. To avoid huge losses and widespread consequences, a company has no alternative but to decrease its employee turnover rate […]

Most people find it difficult to monitor and manage all of their financial data, due to the time and effort required to track their spending. With the advent of e-finance, instead of barter or cash-based transactions, most transaction data utilizes debit or credit cards. The resulting electronic “paper-trail” opens the possibility of helping individuals to […]

In an alien or possibly hostile environment, the situation awareness of a remote robot operator will be limited. Map information may not be known beforehand. The site may also be in a dynamic state where changes occur in the surrounding in any moment. The main objective of this project is to develop novel technologies to […]

In this project we attempt to research and develop from ground up a scalable distributed computing based recommendation engine using machine learning. A computer science student from the University of Toronto will work with Side Effects Software at their Toronto office to implement the research intensive recommendation engine algorithm and integrate it in the smart […]

Membrane proteins such as ion channels, transporters or G-protein coupled receptors (GPCRs) are excellent but difficult drug targets involved in a large number of life-threatening diseases and conditions. These proteins, over-expressed and essential for disease onset and progression, are naturally targeted by toxins from venomous organisms. During evolution, these toxins have been optimized to efficiently […]

As manufacturing and resource-based industries face growing challenges, Canada’s future increasingly depends on advances in and sustainability of knowledge organizations. Knowledge-based workers comprise a growing proportion of the workforce today. More often than not, they work in the context of large-scale expert networks, spanning across different disciplines and organizations. They rely on software technologies for […]

Signaling through the Eph family of cell surface receptors is crucial for embryonic development and the maintenance of adult tissues. Given the central role of the 14 Eph receptors in controlling cell fate, it is not surprising that they also play a central role in oncogenesis and other pathological conditions. However, the signaling mechanisms of […]

Hypoxic cells comprise most aggressive and therapy resistant population in the tumors therefore targeting proteins that are essential for hypoxia survival is an effective novel anti-cancer treatment. We have an ability to generate highly specific humanized synthetic antibodies against target of choice. We will generate antibodies against proteins that promote hypoxia survival, test their effect […]