Intraday Trading and Analysis and Monitoring Trader Behavior

Electronic exchanges are venues that provide immediacy for those who need to find a counterparty to their trades. Orders of various types arrive in the market at ever increasing speeds, and in this era of high-frequency trading (HFT), institutional investors are often disadvantaged because of their high-latency relative to faster traders. To level the playing […]

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The study on the surface modification of LTA zeolite membrane

In the field of organic solvent dehydration, pervaporation technology has a certain advantage over the conventionally-used distillation and absorption. Pervaporation technology not only reduces cost but also improves separation efficiency. Zeolite membrane, specifically the LTA-type, offers a promising alternative to the current use of polymer membranes within the field of organic solvent dehydration due to […]

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Highly selective hydrogenation Rh-MxOy catalysts using Rh@M core-shell nanoparticle precursors

Catalytic selective hydrogenation is a method that can be used in reaction chemistry to selectively increase the amount of desired product that is formed after a reaction. This ultimately increases the efficiency of a reaction and decreases operation costs, providing significant theoretical and industrial value. However, within catalytic selective hydrogenation, research regarding oxides-modified noble metal […]

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Quantifying soil organic carbon sequestration performance of the City of Calgary Willow Biomass and Marginal Land Reclamation Demonstration Project: Assessing provincial carbon emissions offset credit opportunities

The emerging emissions trading market provides the province of Alberta an opportunity to diversify its economy and drive climate change mitigation innovation. By improving the carbon credit generating efficiency, more economic opportunities and carbon sequestration industrial applications become feasible. The City of Calgary Dewatered Biosolids Land Application – Willow Biomass and Marginal Land Reclamation Demonstration […]

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Development of the Social Acoustic Metrics for Aircraft Noise Annoyance to Facilitate the Management of Community Expectations

The proposed research will report and deliver a critical review of the current and relevant studies on community annoyance and human health impacts due to noise related to airport and aircraft operations. It will also investigate, identify and analyse the relevant factors, other than the traditional noise metrics (eg., LDN, CNEL, Leq, etc.), associated with […]

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Creating personality based coaching manuals to manage leader Counterproductive Work Behaviours and improve leadership interpersonal competencies

Counterproductive Work Behaviours (CWB) refer to negative behaviours in the workplace that hinder organizational effectiveness. CWB ranges from violence and harassment to stealing and drug consumption on the job. Despite its importance and prevalence, little attention has been paid to leader CWB, as the focus has been mainly on employee CWB. Leader CWB, could be […]

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Social Matching for Health Researchers

The Élisabeth Bruyère Research Institute is interested in addressing an organizational challenge associated with its size and the geographical location of its partners, which form a research community that is spread over multiple sites located in distant parts of the city. The large number of researchers and physical disconnection of the buildings limit social interaction […]

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Prediction models for pain volatility and engagement patterns of mobile pain app users

Pain is among the top 3 most common reasons for seeking medical help. ManagingLife has developed a mobile-based app, called Manage My Pain, to help chronic-pain patients by providing a simplistic, customizable and comprehensive interface to track pain symptoms and pain experience at a frequency chosen by the users. ManagingLife is interested in understanding the […]

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Human kinematic optimal control learning and wearable inertial measurement unit alignment for rehabilitation

Physiotherapy is a type of rehabilitation that aims to restore a patient’s quality of life after an injury, surgery, or stroke by improving their mobility. Through prescribed exercises and specialized equipment, physiotherapy helps the patient to regain their muscle strength, range of motion, and natural movement. Unfortunately, only rudimentary tools are available to the therapists […]

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Detection, characterization and analysis of unsafe video content on YouTube

A safe video platform can provide a healthy and suitable environment for users in general and children in particular. This project aims to utilize machine learning and deep learning techniques to identify and flag sensitive and questionable content (e.g., content related to violence, sexuality, etc.). The algorithm will leverage video frames extracted from the database […]

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