Catalyst Optimization for Solar-Driven GHG Conversion to Fuels

The anthropogenic emissions of the greenhouse gases carbon dioxide and methane are the leading cause of global climate change. Furthermore, these emissions are related to the manufacture of fuels and carbon-based products. Solar fuels technology addresses both of these issues. Photocatalysts, nanomaterials engineering to directly use solar energy, can convert carbon dioxide and methane into […]

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Improving Operational Resource Efficiencies through the Application of Model-Based Reinforcement Learning (MBRL)

Reinforcement learning (RL) is the problem of designing an agent that interacts with its environment and adaptively improves its long-term performance. Many complex real-world industrial decision-making problems can be formulated as an RL problem. RL is at the core of artificial intelligence and has the potential of having a huge impact on our economy and […]

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Modelling spatial variability of rock mass structural heterogeneity for pit slope stability analysis using a large-scale discrete fracture network (DFN) model

Improving the design and operation of open pit mines by better understanding and modeling of spatial variation of rock mass properties, can bring economic benefits to the mining industry. The proposed research project aims to develop an innovative large-scale discrete fracture network (DFN) model that is spatially constrained based on the recorded fracture data from […]

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Identifying probiotics that modulate mitophagy in models of mitochondrial dysfunction

Mitochondria are critical producers of energy and are the platform for various metabolic reactions that support cellular health. Mitochondria suffer from a variety of damage as a consequence of housing these reactive pathways. In order for cells and organisms to survive this damage, dysfunctional mitochondria are removed from the cell in a process termed mitophagy. […]

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Luminescent lanthanide nanoparticles-a new generation oligonucleotide fluorescentlabel

The global oligonucleotide synthesis market size is expected to grow USD 3.9 billion by 2025. Therefore the demand for an efficient and sensitive oligonucleotide label for their detection, purification and delivery is on continuous rise. The current labels used in oligonucleotide detection have several serious drawbacks that limit their sensitivity. In the proposed project we […]

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Harm reduction-based programming and services for people living with HIV/AIDS (PLHIV) in a novel clinical care setting: the opportunities and challenges for clinicians, clients, donors and fundraisers

Substance use significantly impacts the health and health care of many people living with HIV/AIDS (PLHIV), especially those dealing with additional medical, psychosocial, and economic complications. The need for comprehensive care for this population is particularly important given the current opioid overdose crisis in Canada. In response, harm reduction (HR) services (e.g., supervised injection, naloxone […]

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Multi-agent reinforcement learning for decentralized UAV/UGV cooperative exploration

Over the last decade, artificial intelligence has flourished. From a research niche, it has been developed into a versatile tool, seemingly on route to bring automation into every aspect of human life. At the same time, robotics technology has also advanced significantly, and inexpensive multi-robot systems promise to accomplish all those tasks that require both […]

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Development of nanoparticle in vivo labeling contrast probes for tissue clearing 3D microscopy compatible with multi-modal imaging in fluorescence, dark field, MRI, CT and electron microscopy modalities.

High resolution 3D microscopy in combination with tissue clearing techniques such as CLARITY, iDISCO, CUBIC is a rapidly growing area of biomedical research. It also has high potential to replace traditional 2D histology to become a method of choice for the analysis of tissue biopsy samples used in diagnosis of cancer and other diseases. However, […]

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Development of a personalized in-vitro model for dystrophic muscle endogenous repair for drug discovery

Duchenne muscular dystrophy (DMD) is a genetic disorder resulting in progressive muscle degeneration. Satellos Bioscience Inc is developing small molecule drugs that target and modulate DMD muscle stem cells to repair the dystrophic muscle. Despite the advantages of DMD animal models, they are not always predictive of human DMD phenotypes, or their response to drug […]

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Further improvements of image analysis for multiplexed microarrays – Part 2

Microarray testing allows high-volume analysis. This work will develop tools for accelerated analysis and modifications to surfaces used within the partner facilities. The goal is to enhance the performance of current assay designs and to inform and guide the next-generation of assay designs (ie 384 well plates) which will support the partner’s technology leadership position. […]

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Computational Chemistry And Structural Biology Approaches To Tackle Huntington’s Disease

Huntington’s Disease (HD) is a fatal hereditary neurodegenerative disease caused by expansion of the CAG repeat tract at the 5’ of the huntingtin (htt) gene resulting in polyglutamine expansion of the HTT protein (polyQ-HTT) of aberrant function. HD symptoms include loss of motor coordination, cognitive and speech impairment, and psychiatric disorders. HD affects approximately 1 […]

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