Green logistics planning for hydrogen fuel network: a life cycle analysis approach

The energy sector accounts for 75% of greenhouse gas (GHG) emissions. By adopting a low-carbon or clean fuel alternative, we can reduce GHG emissions to a great extent.

Creating a Sustainability Reporting Framework for Pace Zero’s Sustainability Linked Loans (SLLs) Borrowers

Venture capital X (VCX) is about to launch a new product: Sustainability-Linked Loan (SLL). These new sustainability-linked financial products represent an interesting opportunity both for lenders and borrowers. To incentivize borrowers to achieve predetermined sustainability objectives, VCX offers reduced interest rates on loans; however, these SLL are contingent on borrowers meeting predetermined sustainability targets.

Biosurfactants production by fermentation

The proposed project is a collaboration between InnuScience and researchers in the Chemical and Biochemical Engineering Department at Western University. InnuScience uses biotechnology to replace harmful chemicals, eliminate waste, and deliver sustainable cleaning solutions for the cleaning industry. This research collaboration will experimentally optimize the production of biosurfactants by microorganisms via fermentation pathways, focusing on cleaning applications. These molecules are naturally occurring and consist of a polar group and a non-polar tail, hence acting as biosurfactants.

Feasibility, acceptability and cost-benefit of the O2 Sensor Measurement, Transmission and Analysis (ATAS O2) in clinical practice during the COVID-19 pandemic

The health system is highly dependent on supplemental oxygen, used in many medical procedures. During the COVID-19 pandemic, the demand for oxygen increased which requires an increase in management and clinical efficiency. The monitoring of the oxygen is currently performed by a person who observes the flow rate and adjusts it according to the medical prescription for the patient. This process has limited efficiency for monitoring dosage and leaks.

Generating novel crystal polymorphs of therapeutic compounds with uniform size distribution for improved solubility, hygroscopicity and manufacturability

Two pharmaceutical products for the treatment of neurological diseases developed by Neuractas Therapeutics require fine tuning to enhance their solubility, bioavailability and stability towards relative humidity. Extensive experimental research will be carried out to improve the polymorphic distribution of the products by high through-put crystallization to improve the solubility of one of the products.

COVID-19 and resiliency: How Registered Practical Nurses working in long-term care adapt in times of personal, professional, and institutional crisis

Working in partnership, interdisciplinary professionals and the Registered Practical Nurses (RPNs) Association of Ontario (WeRPN) aim to understand what contributes to and detracts from personal, professional and institutional resiliency for RPNs during COVID-19. This is a rare opportunity to learn from front-line workers directly during historical social periods, such as COVID-19, and even less often does the public become acutely aware of the residents’ social inequities within the long-term care (LTC) sector and the indispensable nature of the largest regulated LTC workforce.

Investigating the mechanistic links between cannabinoid and pain-related gene variants and functional measures of musculoskeletal pain - Year two

Pain is a combination of mental, physical and social factors. This makes it difficult to understand and even more difficult to treat. Chronic pain is unique to the individual, and to treat it effectively requires a better understanding of how pain is generated in each person. The goal of this study is to describe the relationships between inherited genes and the factors that affect pain, recovery, and people’s response to medication. The first phase of this study has 2 aims. The first aim is to describe the relationship between genes, pain, and recovery time.

Smart empathetic speaker based on real-time EEG-based music therapy

During COVID-19 outbreak, many people are suffering the negative emotions, causing anxiety, fear, and depression in daily life. To improve the individuals’ mental health, musical therapy will be employed due to its high value of treatment in the mental health field. In our project, a smart empathetic speaker based on real-time emotion recognition system will be developed. Through electroencephalography (EEG) measurement, the types of signals reflecting the listener’s emotion will be extracted. The deep learning method will be used to recognize the emotions of the user in real-time.

Homelessness Prevention at Covenant House Toronto

The proposed research project to be undertaken by the intern is concerning the use of preventative measures to combat youth homelessness and trafficking in Toronto through Covenant House Toronto. Youth homelessness and trafficking are on the rise and researching how prevention for this vulnerable population can be utilized has the potential to significantly reduce rates of youth homelessness and trafficking in Toronto.

Barcode Image Enhancement Using Deep Learning

The use of barcodes to store alphanumeric information has spread from supermarkets to department stores, the health industry and even on the back of our drivers’ license. Recent years have also seen demand to increase the density of information encoded in barcodes. A Drivers’ License has its personal data encoded in the barcode on the back of the document, and the data embedded is often used as part of an identification/verification process.