Methane Assisted Catalytic Upgrading of Extra Heavy Crudes under Moderate Conditions

Vacuum residue (VR) is the heaviest part of crude oil accounting for a large proportion in modern refineries, while its utilization routes are generally of low efficiency and high energy intensity, and thus economically and environmentally unfavorable. Similarly, bitumen recovered from Steam-assisted gravity drainage (SAGD) process experiences high viscosity and density as well as high […]

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Optical characterization and signal quantification for onsite application in gold exploration

The mineral resource sector is one of the key industries in Canada and Canadian companies are major stakeholders in global mineral exploration and mining activities, including gold exploration. Prospecting takes time, resources, and substantial financial support. Currently, samples collected in the field are shipped to specialized laboratories for analysis. In addition to substantial costs, results […]

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AltaML Strategic Business Expansion

AltaML is a purpose-driven organization, with a mission to apply AI to elevate human potential. We describe ourselves as an Applied AI Studio, meaning we operate as a venture studio for applied AI. We work with large organizations through Corporate Lab engagements, continuously examining different AI use cases and moving the most valuable models to […]

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Advancing Post-Secondary Opportunity for Autistic Students

Using simplified language understandable to a layperson, provide a general, one-paragraph description of the proposed research project to be undertaken by the intern(s) as well as the expected benefit to the partner organization. (100-150 words) The project has been developed in concurrence with the Sinneave Foundation’s aim to improve outcomes in education, employment and housing […]

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Machine Learning and AI for the Global Futures Markets

This continued project is aimed at using state-of-the-art machine learning, mathematical and AI techniques to create profitable trading strategies in derivative markets. Using our existing framework, we now seek to apply modern algorithms/models with the explicit purpose of implementing fully independent algorithmic trading strategies.

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Network Analysis and Mathematical Modeling of Neuron-Astrocyte Multiplex Net

Understanding and predicting brain activity is the main objective of computational neuroscience. Neuronal cells are the building blocks of the brain and responsible for electrical signaling and cognitive ability. Recent studies indicate that another cell type, called astrocyte, plays an important role as well. These cells have been proposed to interact with neurons and modulate […]

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In-plane Performance of Masonry Shear Walls

Recent research at the University of Calgary has focused on shear walls and on evaluating the influence of various parameters on in-plane shear capacity. The reason for this is that, for example, while it is recognized by most researchers that compression on walls increases the shear strength of masonry, the quantification of this effect has […]

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The fate of neutrophils and role of monocytes in sterile inflammation

Our immune system Is designed to protect us from harmful agents. It must initiate a rapid potent inflammatory response to eliminate invading pathogens. Although similar to the eradication of pathogens, the inflammatory response can also occur following a sterile injury and is required for tissue repair and wound healing. This includes trauma, ischaemia-reperfusion injury, autoimmunity […]

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Choral Drone: Theatrical applications of UAVs

Drone light shows use precise choreography, high-powered LEDs and various projectors to create moving images in the sky. Cirque du Soleil has disguised UAVs as props and set pieces to create a sense of magic onstage. Additionally, researchers have used performance techniques, such as Laban Movement Analysis, to study human-UAV communication. Traditional performance spaces have […]

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Predictive microsimulation model for knee-OA progression and cost-effectiveness of earlynon-pharmacological therapies to improve long term patient outcomes

The proposed study has three objectives: Objective 1. Develop KOA microsimulation model: To develop and validate a Knee-OA population-based microsimulation model (POHEM-KOA) using the previously developed POHEM-OA model. Objective 2. Perform cost-effectiveness analysis of non-pharmacological therapies for KOA: To use POHEM-KOA in conducting a cost-effectiveness analysis of treatment strategies, including exercise therapy and weight reduction, […]

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Regulation of N-type calcium channel activity by Opioid receptor-like receptor – a novel mechanism to eliminate morphine tolerance

Prolonged morphine treatment is known to cause an up-regulation of ORL1 receptors in the spinal cord (12, 13), which in turn is believed to contribute to the development of morphine tolerance by altering ?-opioid receptor mediate modulation of N-type calcium channels. Indeed, ORL1 antagonists can reverse the development of tolerance, and ORL1 knockout can mediate […]

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