Hydrogen Gas – Carbon Microsphere and Graphene Oxide Adsorption/Desorption Analysis for solid state hydrogen storage

Climate Change (CC) mitigation and reduction requires a strong effort to develop and put into use clean energy options that significantly reduce anthropogenic CO2 emissions. In Canada, the transportation sector accounts for 25% of all emissions. Hydrogen fueled vehicles is one option that has a great potential to reduce Canadian and global CO2 fuel emissions. […]

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Impact of the addition of a newly developed bio-resin called Biofusion on the strength of concrete

Concrete—the most common construction material in the world—represents the main component of construction. Aggregate materials normally occupy about 70% of the concrete volume and their production results in excessive emission of carbon dioxide. One potential solution to reduce the carbon dioxide emissions from the construction industry is to use the newly developed bio-resin Biofusion in […]

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Statistical Perspectives on Drug SafetyScreening using Spontaneous Reporting Dataand Electronic Health Records

Screening spontaneous reporting (SR) or electronic health records (EHR) data sets for adverse drug reactions (ADRs) has become an important component of drug safety. Much methodological work has been historically done on SR data, however, novel approaches are continually being suggested which merit critical review. Thus, we will first investigate some of these approaches as […]

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Mechano-chemically and microwave-assisted catalytic hydrodeoxygenation of sugar alcohols to polymer components

Sugar alcohols such as Xylitol and Sorbitol are an abundant and renewable carbon resource obtained from plant-generated sugars and starches or – preferably – the breakdown of (hemi-)cellulose into the soluble sugars Xylose and Glucose. Already established industrial processes currently running at > 2 million tons/year allow the facile conversion of these sugar to the […]

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Optimization of Waste-to-Resource Plants with Machine Learning and Multi- Objective Reinforcement Learning

In waste-to-resource processes, variations in operating conditions are common, to accommodate varying process objectives and ambient disturbances. In these cases, well-tuned operating conditions are disrupted, and correlations among process and quality variables are broken, leading to unexpected outcomes. Due to large number of involved variables and their complex relations, it is challenging to re-tune system […]

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Spectral Methods in Quantum Kernel Classifiers

Quantum Machine Learning is an emerging field of science, exploring the role that quantum computers can play when combined with machine learning models and methods. Within this field, kernel methods have quickly become one of the most promising and exciting techniques to show benefits in performance, even when using the current primitive quantum computers that […]

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BSI – Fatima Yousafzai

This project aims to tackle the challenge of finding different ways Viva could optimize its existing work processes to generate maximum results, as well as innovating in the marketing domain. This requires the intern to observe technical insights such as user interaction and behaviour, as well as traffic across various virtual platforms. This understanding would […]

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Environmental forensic source identification for complex contaminant mixtures using advanced computational fingerprinting

Environmental forensic investigations endeavour to identify connections between environmental pollution and polluters. There assessments are integral to legal cases spanning pollution from accidental spills to illegal disposal of chemical waste. A common challenge is the investigation of complex contaminant mixtures that may have multiple polluters or where only part of the complex contaminant mixture are […]

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COVID-19, Mental Health, and Racialized Women in the Workforce

This project explores the mental health impacts of COVID-19 on racialized women in the workforce in Ontario. As groups overrepresented in poverty rates, unemployment rates, and low-waged and precarious work prior to the pandemic, racialized women are more likely to experience poor or negative mental health and wellbeing during the pandemic. Despite being one of […]

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Intelligent physiological monitoring platform to safeguard the health of vulnerable adults during hot weather

COVID-19 is an unprecedented public health emergency affecting every industry. As we wait to develop treatments and vaccines to protect individuals from COVID-19, we must develop strategies to protect workers in Canada’s vital industries. In the absence of any adaptation strategy, risk of infection will continue to threaten the health and safety of workers. This […]

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