The Hidden Subgroup Problem in Post-Quantum Cryptography

Quantum computers are new technologies that harness the power of quantum mechanics to store and manipulate information. Recent years have seen accelerated progress on their development, and while their potential benefits are significant, we must now prepare the cryptographic infrastructure underlying cybersecurity to ensure the continued safety of our data in the face on an […]

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Developing and evaluating multi-functional rain gardens

Rain gardens are shallow planted depressions in the ground that infiltrate, and evaporate urban rainwater. They are a kind of green infrastructure that provide an alternative to putting polluted urban runoff into the storm sewer system. The researchers will build and test new designs and installation methods for rain gardens. The new designs will incorporate […]

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Predicting 30-Day Risk of Hospitalization, Emergency Department Visit and Death Among Albertans Receiving Opioid Prescriptions Using Machine Learning Algorithms: A Prognostic Study

Prescribers rely on guidelines for appropriate use and prescribing of opioids. Currently, there are no risk prediction calculators available to quantify the risk of prescribing an opioid that uses a patient’s history and drug utilization pattern. Machine learning algorithms offer an opportunity to perhaps develop such a risk calculator as a result of the large […]

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Assessment of indoor environmental quality in the school building

Indoor environmental quality in schools is one of the major issues that should be considered. Indoor air quality (freshness and cleanness of air inside the building) and thermal comfort (the comfortable condition when no one is feeling either too hot or too cold) in schools can have significant impact on children’s health, learning and productivity. […]

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Tensor based machine learning with human computer interaction applications

In this research, first we will using tensor network techniques speedup the processing in neural network since computational cost is a major bottleneck in neural network based deep learning. Note that the weight matrix in each layer of neural network is with huge size, because of millions of parameters. This may cause large time complexity […]

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Protection Coordination Planning with Distributed Generation (DG) and the Impactof DG on Safety, Equipment and Distribution System Operation

Driven by economic, technical and environmental reasons, the energy sector is moving into an era where Distributed Generation (DG) will meet a large segment of increasing electrical energy demand. Local distribution companies (LDCs) are required to accept a given percentage of customer-owned renewable DG units in their system. Generally, DG introduces new possibilities such as […]

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Therapeutic Strategies for Restoring Palmitoylation and Autophagy in Neurodegeneration

The cellular clearance pathway autophagy is required for degrading toxic proteins and damaged organelles, but is disrupted in many neurodegenerative diseases. During induction many autophagy regulators quickly localise to membranes from the cytosol. The Martin lab has identified palmitoylation, which involves the addition of the fatty acid palmitate to cysteine residues, as a potential regulator […]

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Effect of Shape Parameterization and Optimization Algorithms on Adjoint Based Aerodynamic Shape Optimization

A very important phase in aircraft design is the aerodynamic design of the wing and various other components: wing-body fairing, tailplane, etc. With today’s computer power and progress in algorithm development, the design is made through complex mathematical models which are amenable to automatic optimization. An industrial adjoint-based three-dimensional viscous optimization framework, developed at Bombardier […]

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AI based acoustic signal processing and analysis and its applications

Artificial intelligence (AI) provides powerful tools to many acoustic related applications. This proposal aims at acoustic signal processing and analysis and its applications using AI technologies. In order for AI to make progress in understanding the acoustic world around us, it needs to be interpreted along with multimodal messages. Three subprojects, i.e., multi-modal acoustic scene […]

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Implication of the nucleotide pool sanitizing enzyme NUDT1 in vascular remodeling in pulmonary arterial hypertension (PAH)

Pulmonary arterial hypertension (PAH) is a progressive condition characterized by the chronic elevation of pulmonary artery (PA) pressure leading to failure of the heart. In spite of recent advances in approved therapies, PAH remains a serious disease with significant mortality. In contrast to the earlier belief that contraction of pulmonary vessels played a key role […]

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