Evaluation of Machine Learning Methods for Portfolio Replication of VIX Futures

During the past two decades, the CBOE Volatility Index (VIX® Index), a key measure of investor sentiment and 30-day future volatility expectations, has generated much investor attention because of its unique and powerful features. The introduction of VIX futures in 2004, VIX options in 2006, and other volatility-related trading instruments provided traders and investors access […]

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Evaluating an Expanding Prodrug Platform for Controlled Drug Delivery

The development of new strategies to improve drug delivery has the potential to significantly improve patient outcomes. Ripple Therapeutics has developed a new approach to developing implants based on a discovery that prodrugs (an inactive version of a drug) can be processed into an implant without the use of a polymer to hold the implant […]

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Electric Drive Systems for Automotive Propulsion Applications

Electrified vehicles (EV), which include hybrid, battery, plug-in, and fuel cell technologies, will be critical in helping lower emissions, reduce fossil fuel usage, and help mitigate climate change. The next generation of EVs will require significantly improved powertrains, components, and associated control technologies. The proposed project will research and develop components, architectures, and systems that […]

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Physics-enhanced machine learning to optimize a state-of-the-art manufacturing process

We are bringing together modern techniques in Bayesian machine learning to optimize process parameters for a state-of-the-art semiconductor fabrication process. The challenge is that while the process contains complex underlying dynamics and some degree of stochasticity, there are a large number of process parameters and a small number of samples to use for model training […]

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Optimization of key-to-key collision repair process system

The intent of this project is to reduce the cycle time in the vehicle repair process across the Carstar network. The project also includes developing process models that will help in guiding Carstar to reduce cycle time in major process steps for all stores of varying size and disparate locations. During the process of investigation […]

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Development of quantum dot fluorescent probes/contrast agents

Iron-based nanoparticles can not only be used in sensitizers or absorbers but also retain excellent electrical conductivity, optical, electrical, and magnetic properties. So far, very few synthetic methods are known to implement stable Iron-based nanomaterials. We propose to develop novel synthesis routes to produce QDs. In addition, we plan to develop surface modification processes to […]

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Development of a technique for radioactive source term detection and realtime analysis for low-level radioactive waste

Nuclear power currently provides approximately 50% of Ontario’s electricity. Operation of nuclear power plants produces a variety of radioactive waste. In particular, low-level radioactive waste makes up about 95% of total non-fuel waste volumes. To reduce volume, low-level materials must be sorted to determine if their radioactivity has sufficiently decayed and they can be safely […]

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Inhaled allergen challenge methodology: Assessment of SOLO Vibrating Mesh Nebulizer for Allergen-Induced Late Asthmatic Responses

The allergen inhalation challenge model is an important research technique for asthma drug development, and has been used for many years by the AllerGen CIC consortium of Canadian investigators in their evaluations of new asthma therapies. An alternate nebulizer is needed for performing inhaled allergen challenges, and this device needs to be tested for its […]

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Sensory Disinhibition, Cognitive Flexibility and the Neural Correlates Underlying Post-Traumatic Stress Disorder (PTSD): A Simultaneous EEG-fMRI Study

Individuals with post-traumatic stress disorder (PTSD) often struggle to relax, or simply be at ‘rest.’ In particular, recent research has revealed participants with PTSD show hyper-activity across the visual cortex while at rest. Referred to as sensory hyper-activity and disinhibition, altered resting-state patterns are thought to be underlying hypervigilance and re-living sensations clinically, as well […]

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