Validating Existing Understandings of National Nonprofit Environments

The politics of information, and information availability, affect civil society’s ability to participate in democratic governance and the ability to establish accountability and credibility. New nonprofit regulations create additional reporting requirements, but much of this information is withheld from the sector itself. The proposed project will produce reports on the data environment of each region […]

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Evaluation of pollinator restoration and management in The Meadoway

The purpose of this project is to identify bees and evaluate plant-pollinator networks based on the biomonitoring surveys conducted at the Meadoway in 2020 in partnership with the Toronto and Region Conservation Authority (TRCA). The aim of these surveys is to develop a baseline understanding of bee diversity in the Meadoway and evaluate the impacts […]

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Techna Guided Therapeutics Cluster

The Guided Therapeutics (GTx) Core of the Techna Institute is developing innovative imaging technology and therapeutic approaches, and translating those advances to commercial and clinical applications. Working with our industrial partners Precision X-Ray and Elekta, the Mitacs-supported interns will develop new capabilities and tools for preclinical image-guided radiation therapy devices and radiosurgical techniques. With Precision […]

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Metabolic Lipid Abnormalities in Prediabetes and Insulin Resistance

Type 2 diabetes is characterized by insulin resistance and has been associated with increased lipids (fat) in the blood (hyperlipidemia). Our research focuses on regulation of blood lipid levels by controlling both intestinal and liver fat (lipid/lipoprotein) metabolism. We have previously shown in our laboratory that a naturally occurring hormone called glucagon-like peptide-1 (GLP-1) can […]

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Validation of the Babbly language development app

This study will validate the accuracy of a new artificial intelligence (AI) powered application, which has been developed to track communication and cognition during the babbling stages of development in the first year of life. Once validated, this app will be an asset to both parents and clinicians. It will be used by parents and […]

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Validation of the Babbly language development app – Year two

This study will validate the accuracy of a new artificial intelligence (AI) powered application, which has been developed to track communication and cognition during the babbling stages of development in the first year of life. Once validated, this app will be an asset to both parents and clinicians. It will be used by parents and […]

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Epigenetic Regulators of Anticancer Drug Response

The effectiveness of cancer drugs depends on several factors which are governed by the genetic and ‘epigenetic’ code of cancer cells. The epigenetic code comprises those heritable modifications that bookmark DNA and DNA-associated proteins to guide the expression of genetic attributes without changing the DNA sequence. This epigenetic code is written, read, and erased by […]

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Epigenetic Regulators of Anticancer Drug Response – Year two

The effectiveness of cancer drugs depends on several factors which are governed by the genetic and ‘epigenetic’ code of cancer cells. The epigenetic code comprises those heritable modifications that bookmark DNA and DNA-associated proteins to guide the expression of genetic attributes without changing the DNA sequence. This epigenetic code is written, read, and erased by […]

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Targeting the ubiquitin system function through GID4 – Year two

Protein turnover is an incompletely understood aspect of biology, important for various processes including adaption to environmental stimuli. Over 500 protein complexes (E3 ligases) are involved in marking proteins for degradation, but only a small number of these E3 ligases are well characterised. The current project seeks to develop chemical inhibitors of GID4—a key component […]

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Understanding Empirical Risk Minimization via Information Theory

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 […]

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Patterns of course-taking and transition for Applied to Academic subjects: Bridges or barriers in Ontario Schools?

Across the province, students are channeled into academic and applied programs at the start of high school. Students in applied courses are less likely to enjoy school or pass the provincial standards for achievement in both elementary and secondary school (EQAO, 2012). We know little about “who” takes applied courses in Ontario and what opportunities […]

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