A rapid increase in the number of Asian international students attending K-12 schools has led to the investigation of the complex, multi-layered aspects of the life experience and needs of Asian international students in Ontario schools. Working closely with View-Wide International Education Group and using multiple case studies, this study will explore the factor of facilitating their transition and articulate the nature and challenges of Asian international students’ experiences in adjusting to new school settings in Ontario.
This project will result in the expansion of an athlete-focused genetic test to include additional genetic markers and algorithms for the purpose of personalized caffeine advice for endurance and other forms of exercise (strength, power, anaerobic-power) through continued analysis of 23 caffeine-associated genes that affect an athlete’s response to caffeine (positive, negative or no effect). The intern has already collected all necessary data, from over 100 athletes, from her previous doctoral research. She has already published some of her caffeine-associated findings.
Urinary tract infections caused by indwelling catheters (CAUTIs) employed for the treatment of urinary flow are very common. Almost 100 million of these devices are sold on an annual basis with around 25% of these being marketed in the USA. In addition to the cost of catheters and their insertion, hospital treatment of CAUITs runs into the hundreds of millions of dollars every year.
The development of cellular therapeutics is acutely dependent on the ability to evaluate the functional characteristics of the cells in predictive animal models. This forms the basis of key pre-clinical data packages that are key for regulatory submissions preceding human clinical trials. The development of appropriate model systems, the execution of the surgical techniques to deliver cells to the target tissue, and the techniques to functionally analyze these cells in situ are technically challenging.
Deep neural network (DNN) is a class of machine learning algorithms which is inspired by biological neural networks. Learning with deep neural networks has enjoyed huge empirical success in recent years across a wide variety of tasks. Lately many researchers in machine learning society have become interested in the generalization mystery: why do overparameterized DNN perform well on previously unseen data, even though they have way more parameters than the number of training samples? The Information-theoretic approach for studying generalization is one the frameworks to answer this question.
This project seeks to build the body of academic understanding on how to effectively deliver a mental health skills-based intervention through a mobile app. The analysis will be done through retrospective and live analysis of the Resili app, a publicly available mHealth app which promotes strong mental health through the administration of a Dialectical Behaviour Therapy skills-based, self-taught curriculum. While there has been a recent flood of mental health apps, many have poor engagement rates, or administer interventions without a sound basis of evidence.
Overactive bladder (OAB) is an incurable, chronic medical condition that is characterized by symptoms of urgency, frequency, nocturia and urinary incontinence. It affects approximately 18% of adults and over 30% of the elderly population. Saphenous nerve stimulation is a novel therapy aimed at treating OAB patients. It offers an alternative to bladder medication, which can have severe side effects such as dry mouth, cognitive impairments and hypertension. And, unlike sacral nerve stimulation, this novel treatment can be delivered to patients in a noninvasive manner.
As personalized medicine approaches aim to tailor treatments to individuals, improvements are needed in the detection of existing biomarkers and genomic, epigenomic, and proteomic changes that occur during disease development. This would have potential impact on medication selection and targeted therapy, reduce adverse effects, improve cost effectiveness, and shift the goal of medicine from reactive to preventative clinical decision making1.
Atherosclerosis is a disease defined by unresolved inflammation in the major arteries. High cholesterol is a major risk factor, resulting in fatty lesions developing silently for decades before causing heart attacks and strokes. Currently, no therapies exist that target the cells of the artery wall to suppress this disease. Myeloid cells (MCs) are white blood cells found in the inner artery wall, residing under a barrier of cells called endothelial cells (ECs). In the aorta, MCs are found only in areas where lesions grow.
The focus of this project is replacing some of the current automotive parts by a stronger and lighter thermally-conductive polymer nanocomposite. This project takes advantage of the exceptional mechanical and thermal properties of graphene as a commercially viable and environmentally friendly nanomaterial, through an industrial scale process, i.e. injection molding. Therefore, the outcome of this research would technologically benefit our industrial partner, i.e. Axiom Group Inc., to sustain itself and/or to grow in the competitive market.