A Sequential Model to Recognize Depression Acuity Using Social Media and Physical Activity

Over 350 million people worldwide suffer from depression. A key part in diagnosing depression is screening questionnaires, which rely on patient self-reports of the recent past. With the advent of social media and wearable devices, there is an opportunity for a novel approach to detecting when a patient diagnosed with chronic depression becomes acute. In this project, we use social media data and physical activity data to detect depression acuity. Social media is indicative of an individual’s mental state. Physical activity is an indicator of physical wellness.

Acoustics Modeling of ecoCUBE

Emissions control is an important part of any environmental policy. However, in dense urban environments and other locations, it is important to deal with sound as well. To ensure effective pollutant mitigation while also ensuring minimal acoustic disturbance, it is necessary to look at computer models that look at these factors simultaneously. This work will provide SPI with tools necessary for acoustic models while ensuring that their current products meet environmental requirements.

Development of an Equity Risk Score System and Interest Rate Shock Modelling for Value-at-Risk Computation

The objective of this research is twofold: to improve existing risk management framework to assess interest rate shocks, and to develop a new risk factor model to create an equity risk score system to help guide investment decisions.
The first part of this research project involves the development of an equity risk score system to better evaluate the quality of an investment.

Optimization of parameters in Blade Element model for Helicopter Training Simulators

Helicopter training simulators are an important part of improving the safety of both civil and military helicopter operations. The most important part of helicopter training simulators is the model of the helicopter dynamics since it drives all the other simulator subsystems. This project aims to provide CAE with a more automated and accurate method for determining the parameters within their blade element helicopter model such that it matches the real helicopter behaviour.

Innovative design of a sound numerical model calibration process: from lab tests to input data

Geomechanica Inc. develops simulation software (Irazu) for rock engineering applications. This numerical software has been used in several peer-reviewed research publications in the rock mechanics field. A key challenge in the numerical modelling of rock masses is the selection of appropriate input parameters. The objective of this work is to develop a solution to streamline the laboratory testing and integration of the results into Irazu models. As a result, the time needed to build a model will be significantly reduced and the uncertainties in the model inputs will be mitigated.

The SAVI Smart Edge Deploying D2D with Massive Multiple In Multiple Out (MIMO) Antenna Architectures

The NSERC Strategic Network for Smart Applications on Virtual Infrastructures is a five-year partnership between Canadian industry, universities, researchers, research and education (R&E) networks, and high performance computing centres to investigate the design of future application platforms that will deliver software applications of greater capability and intelligence.

Design and advancement of Graft Enabled Antibody Therapies (GrEAT)

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 target physiologically-relevant proteins involved in ion channel opening or closure, thus incapacitating the prey or defending against predators.

Towards the development of a Bayesian prognostic tool of air pollution in Ontario

Air pollution is a major concern in urban centers because not only does affect vulnerable populations, but also impacts the quality of life for urban dwellers. With the new implementation of the Air Quality Health Index (AQHI) by the Ontario Ministry of the Environment and Climate Change to replace the existing Ontario Air Quality Index (AQI), there is an emerging need to forecast future environmental impacts on air quality and assess the achievability of the newly-adopted index.

Development of specific inhibitors and activators toassess the role of human Ephrin Receptors in health and disease

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 Eph receptors are extremely complex, and developing an effective therapeutic intervention for a particular disease requires a comprehensive understanding of Eph function.

Dual inhibition of CA9 and CA12 as effective novel anti-cancer therapy

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 in 2D/3D systems and will move to preclinical/clinical trials upon successful in vitro validation.

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