Continuous blood pressure (BP) monitoring is highly of assistance for detection of the major public health issue which is cardiovascular problems. Nowadays the BP monitoring technique which are commonly used are mostly using an uncomfortable cuff that makes continuous monitoring impossible since it slows the blood flow. However, measuring continues blood pressures are necessarily and […]

Collision avoidance can be described as a whole-body movement control problem in which visual information is used to elicit accurate movement adaptations. Previous research has demonstrated that children lack knowledge about their own action capabilities as well as the ability to use vision to properly guide actions in static environment. Little is known about how […]

Duchenne muscular dystrophy (DMD) is a severely debilitating and lethal disease affecting approximately 1in 3,500 male births. In a seminal discovery, the Rudnicki lab discovered that deficits in muscle stem cell asymmetric divisions is a part of the underlying mechanism that results in the progressive wasting of skeletal muscles found in DMD. Dystrophin protein, the […]

This project uses computer-based molecular simulations to determine physical and chemical properties of a class of molecules known as alkanolamines dissolved in water designed to absorb carbon dioxide from industrial exit streams. These properties are important in helping select individual alkanolamines to be used as solvents in post-combustion carbon capture and sequestration (CCS). CCS is […]

It is known that music can enhance emotional and verbal communication in individuals who have difficultly doing so. Additionally, it has also been established that music is strongly linked to and can stimulate motor areas in the brain, and may potentially be an interesting aid to motor learning. The overarching goal of the project is […]

Lake size and shape are important factors determining the function and structure of lake ecosystems. Moreover, Lake morphology is important for both biotic and abiotic processes, including species richness of zooplankton, macrophytes, and fishes. In particular, Ontario has tens of thousands of natural ecosystems that make up a large part of Canada’s dominant share ofthe […]

A quantum network built on RBC infrastructure and performing secure commercial transactions using quantum-generated secure keys in the integrated classical communication network.

Weak lensing, the subtle distortion of galaxy shapes due to matter along the line of sight, is an effect that can be used to measure the mass of galaxies and clusters. The effect is sensitive to both stellar and dark matter, which makes the technique extremely valuable for constraining cosmological parameters. Through observations of weak […]

This research targets the apparent contradiction between quantum mechanics (wherein molecules are composed of electrons and nuclei) and the language of chemistry (wherein molecules are composed of atoms and bonds) by developing topological tools for describing the output of quantum mechanics computations in chemical language. Specifically, the topology of various descriptors based on the molecular […]

Mary Spencer will investigate the mineralogy, microstructure and geochemistry of ureilite meteorites. This study will bring new constraints on the deformation and the shock conditions these meteorites have experienced, and where they initially formed in the Solar System in relation to the Sun and Earth before being transported to the asteroid belt. For this, she […]

Durham Region recently created a plan to help guide future decisions about adapting to climate change. The plan shows how extreme future weather is expected to be and identifies many ways that the cities and towns in the region and other agencies that deliver services like water and electricity need to be prepared. Some municipalities […]

In this project, a vehicle occupancy detection system will be developed for automatic monitoring of HOV (High Occupancy Vehicle) and HOT (High Occupancy Toll) lanes. The system makes use of machine vision along with artificial intelligent algorithms, developed based on deep learning, to detect number of passengers in a vehicle in real-time. The developed technology […]