Sustainability analysis of biomass-based ethylene production

Ethylene (C2H4) is a critical chemical feedstock for polymer production (e.g., plastics); its global production is about 150 million ton/yr. Ethylene production accounts for 51.6% of the petrochemical production in Canada, and it is mainly produced in Alberta, Ontario, and Quebec, according to the Statistics Canada. Meanwhile, the industry is dealing with a variety of […]

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The Community Learning Hub Knowledge Mobilization

While the use of specific drugs including cannabis cocaine, ecstasy, and heroin by youth 15-24 in Canada decreased in 2011 (Health Canada), the rate of drug use by youth 15-24 years of age remains much higher compared to that of adults 25 years and older. (Health Canada). Early intervention and education for youth has been […]

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Detargeting Protein-Protein Interactions For Cellular Design Applications, Using 3D Structure-Based Deep Learning Models

Rational protein design has had a tremendous impact on pharmaceutical, agriculture, and chemical industries over the past 30 years, by focusing exclusively on individual proteins and their intrinsic activities. The next generation of protein design tasks will seek to modify function inside living cells, competing and interacting directly with pre-existing cellular machinery. Modifying systems in […]

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Comparative genomic analysis of Bradyrhizobium strains with natural variability: efficiency and competitiveness implications

A major challenge facing farmers is obtaining the nitrogen needed to support plant growth. Inoculation of legume crops with rhizobia, which supply plants with the required nitrogen, is a green alternative to environmentally hazardous nitrogen-fertilizers. However, rhizobia vary in their effectiveness, and the success of inoculants depends on their ability to outcompete native and poorly-effective […]

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Improving Resuscitation Equity using AI

For urgent, life-threatening medical conditions such as cardiac arrest and stroke, treatment is time-sensitive and must be received promptly to maximize the likelihood of patient survival. Previous research has shown that areas with lower socioeconomic status have higher rates of cardiac arrest incidence as well as lower rates of receiving timely treatment and patient survival. […]

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Decryption Failures in a Quantum World

The development of scalable quantum computers threatens the secrecy of communication by breaking classical encryption schemes. In order to ensure long-term security in communication networks quantum-safe cryptography is currently being developed and evaluated in standardization competitions. A special property of many of the proposed cryptosystems is a low but non-zero probability of failure: An encrypted […]

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Characterization of thermophilic ?-Mannanase of Thermomyces lanuginosus for production of health promoting prebiotics from agro-waste products.

This research proposal deals with characterization of thermophilic ?-Mannanase of Thermomyces lanuginosus and using this enzyme for hydrolysis of natural mannan to produce prebiotic MOS (Mannooligosaccharides). Alternative routes for the utilization of agricultural by-products are of interest because the economic value of these by-products as animal feed compounds is decreasing. MOS are non-digestible sugar oligomers […]

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Feasibility of physiological assessment for objective confirmation of non-invasive electrical recruitment of the saphenous nerve

Overactive bladder, urinary urgency, affects 14-18% of the Canadian population and costs our health care system over $350,000,000 annually. Most current treatments require ongoing in-person support or have low adherence rates, enhancing greater strain on our healthcare system and economy. Non-invasive saphenous nerve stimulation (nSNS) overcomes these issues however there is currently no objective method […]

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Ensemble Application of Symbolic and Subsymbolic AI for Sentiment Analysis

Deep learning has unlocked new paths towards the emulation of the peculiarly-human capability of learning from examples. While this kind of bottom-up learning works well for tasks such as image classification or object detection, it is not as effective when it comes to natural language processing. Communication is much more than learning a sequence of […]

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Applications of Wearable Data and AI to Augment the i-Share Platform

i-Share is a project being conducted by the Université de Bordeaux. It is one of the largest mental health studies in the world, with the goal of collecting self-report information on mental health (e.g., stress, sleep, physical exercise, depression) from over 20,000 students from French universities. Currently, students have access to personal devices, such as […]

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