Integrating physics and geology for an improved understanding of rock deformation

The relationship between the structure of rocks near the Earth’s surface and their geophysical properties is little understood. Rock samples from a large, exposed fault will be collected from Serifos, Greece, a region strongly affected by earthquakes and recent tectonism. These samples preserve varying degrees of deformation and structural complexity. The amountof deformation affects the […]

Read More
The luminescence of cavitation bubble generated by spark discharge in water

Cavitation bubble can be generated by ultrasound, laser or spark discharge underwater. It has good potential in the application of medical treatment, environmental treatment and surface cleaning. When the bubble collapse, the vapor inside will be compressed quickly and the temperature will rise to several thousand Kelvin, even reach ten of thousand Kelvin, and the […]

Read More
High-efficiency DC-DC converter for TFT touch sensors

This project aims at designing a high-efficiency DC-DC converter for TFT touch sensors. The main task of the converter is to step-up the low and variable input voltage to a higher and more stable voltage that is able to power the touch sensor. The most challenging part of the design is the regulation of the […]

Read More
Catalytic Reforming, Hydrogenation, and Decarboxylation of Unsaturated Fatty Acid Esters over Non-noble Metal Catalyst

Biodiesel refers to a vegetable oil or animal fat based diesel fuel consisting of saturated and unsaturated long-chain alkyl esters. Low value biodiesel has been developed on a commercial scale, however the application is limited. The conversion of biodiesel to high value C8-16 n-alkanes currently uses metal catalysts (Pt/C), which is an expensive technique. Designing […]

Read More
Investigations on acoustic parameters affecting nerve excitability during reversible ultrasound neural stimulation: from ex-vivo animal nerve models down to neural cells

Our brain is constituted of billions of neurons gathered in networks and communicating between each other through electrical impulses. It is possible to impact on this nervous activity through stimulations of various origins including electric, magnetic or acoustic. Indeed, neurostimulation can artificially induce signals within the nervous network, but also modulate the existing signals by […]

Read More
Naturally acquired immunity against important bacterial pathogens in Bruce County First Nations communities

The goal of this proposal is to clarify the reasons for an increased burden of serious bacterial infections caused by two common pathogens: Haemophilus influenzae and Streptococcus pneumoniae in Canadian First Nations. Methodology includes comparative analysis of the critical parameters of naturally acquired immunity against these pathogens in adult First Nations individuals living in two […]

Read More
UTSC/MHS/RREES Inter-disciplinary Assessment & Rehabilitation Centre for Excellence

The purpose of the funding is to provide initial support towards the establishment of an Inter-disciplinary Assessment and Rehabilitation Centre for Excellence. This center will be initiated between the University of Toronto Scarborough (UTSC), Multi-Health Systems (MHS), Rehabilitation Research, Education and Evaluation Services (RREES), with consultation and data collection support by RTW Integrated Health Management […]

Read More
Strategic asset allocation from a Canadian investment perspective

The project – Strategic Asset Allocation from a Canadian Investment Perspective – will focus on the efficient allocation design for a Canadian investor. This will be achieved throughforecasting of long-term (5-10 years) expected returns of Canadian fixed income and equities, as well as US and global equities. The forecasts mostly rely on economic/fundamental analysis such […]

Read More
Deep Learning for Action Recognition, Localization and Parsing

The goal of this project is to develop algorithms that allow machines to understand and describe actions in video. For example, we would like computers to be able to classify videos according to the actions taking place inside them , and annotate the videos according to where and when the actions take place. To tackle […]

Read More