The proposed study will extend the findings of the current literature through the following objectives: 1) to understand individual’s ability to use visual information to accurately avoid an approaching person; 2) determine the role of environmental objects (i.e., doorway) in regulating avoidance behaviours; and 3) determine any concussion-related avoidance behaviour changes. To meet these objectives, […]

Low back pain (LBP) is one of the most prevalent musculoskeletal conditions globally; it has claimed the number one spot for global burden, the number of years lived with disability, and health condition requiring the most rehabilitation services. Despite the commonness of LBP, there is a lack of understanding on the deficits associated with chronic […]

Many studies worldwide use neuroimaging to investigate whether there are abnormalities in the structure or function of the brain that underlie mental disorders. The sample sizes in these studies are limited because of the high cost of neuroimaging and difficulties in recruiting large numbers of patients if the disease is rare. This is a problem […]

We will study the efforts of traditional physicians to preserve their Indigenous healing system against the oppressive forces of western colonialism. Ayurveda is one of the oldest holistic healing systems in the world and has been practiced in India for more than 2,000 years. However, under the British rule and the spread of colonial medicine […]

It is imperative to have sustainable infrastructure that emits as little greenhouse gases as possible by 2050 in order to reach net-zero emissions. The key component of this strategy is development of CO2 capture units, as well as the use of renewable energy sources. By incorporating renewable electricity to meet the energy demand of high-temperature […]

The proposed work under this award program involves fabrication of functionally graded B4C particle reinforced AA6061 metal matrix composite through stir-centrifugal casting technique. Subsequently, the deformation behavior and fatigue failure analysis of the fabricated composite will be carried out. The 2D microstructure, constituent phases, particle distribution, and gradient will be revealed by light and electron […]

The objective of this internship is to develop a multidisciplinary collaboration to better understand the complex factors that influence industry adoption of fault detection and diagnostic (FDD) tools for commercial buildings. More specifically I will focus on how interface design influences usability and perceived usefulness, and how information from FDD tools ultimately lead to fault […]

Our experience of music is multifaceted, including aspects of movement, emotion, timing, and expectation. Accordingly, music cognition recruits a wide range of brain areas during both passive listening, and musical performance. However, the extent to which these brain regions interact with each other is not fully understood. Recent research has indicated that synchronization of neural […]

L’apprentissage profond, un type d’intelligence artificielle, consomme une quantité phénoménale d’électricité. Les réseaux neuronaux, à la base de cette technologie, sont présentement implémentés sur ordinateurs. Or, il est possible de créer des réseaux de neurones fonctionnant à l’aide de la lumière, des réseaux de neurones photoniques. Cette technologie pourrait permettre de réduire la consommation d’électricité […]

The proposed doctoral research aims to use Igbo Hometown Associations in Nigeria as a context to explore identity-based associational groups that operate locally but with ties to transnational migration dynamics and their diaspora. Specifically, it will examine how these ties enable their acting as non-state governance actors that self-organize to provide public goods, despite weakness […]

Personalised cancer treatment is an emerging method of treating cancer that acknowledges that no two tumours are the same. This aproach aims to identify targetable proteins and predict a patients response to treatment to optimise treatment outcomes. However, additional biomarkers and drug targets need to be discovered to further improve treatment. Exosomes, are small extracellular […]

The proposed project will use machine learning to predict vegetation biomass across the state of California using climate variables (precipitation, temperature). This will create a map of what vegetation is expected to be in a given climate regime. This modeled vegetation distribution will be compared to a map of observed vegetation to identify regions where […]