There is much about the brain we still do not understand. But, one fundamental way to understand how the brain works is to know normal range of activity. For example, how does your physician know that you have normal blood pressure? Similarly, why did the medical community choose 120 over 80? The way we do that is to collect information from as many individuals as possible thousands upon thousands! When you collect information from many people, scientists are able to paint a very clear picture of how blood pressure (or any variable of interest) varies across many people.
The main goal of this project is to develop a general set of computational solutions that could be used to prevent and manage emergency situations in transportation and water management networks by developing a monitoring and predictive model. This monitoring and predictive model will be based on topological data analysis (TDA) in a fashion similar to the model used in systems biology but here applied to Big Data provided by transportation, communication and water management systems.
Quantum circuit components will always be unreliable. To protect quantum information from becoming corrupted, we require quantum error correcting codes. The drawback is that quantum error correcting codes necessitate a trade-off the better the code protects information, the more resources it requires to be sustained. Our current resource estimates to construct useful quantum circuits seem insurmountable.It was recently shown that if a certain class of error correcting codes, called quantum LDPC codes, were to exist, then they could potentially lower resource requirements significantly.
The change in the time intervals between adjacent heartbeats is known as Heart Rate Variability (HRV). The HRV of a well-conditioned heart is generally large at rest, whereas low HRV has been associated with adverse outcomes/conditions, including congestive heart failure, diabetic neuropathy, depression, and hospital admissions.
The objective of this project is to design and build a new prototype device attachable to a smartphone camera employing a novel method of illumination to enable acquiring high quality images of the skin without surface contact. By replacing the precise optical and lighting components currently used in the companys existing product MoleScope, this design will allow manufacturing a new device at considerably lower cost. The new device also requires a universal attachment system for several different smartphones, as the camera is located in different positions on every model.
Use of aluminum alloys in the automotive industry comes with huge manufacturing challenges such as instability of spot welding processes. To overcome this challenge, frequent selective quality tests are performed in industry usually by destructive means, which are labour intensive and costly due to its nature. Non-destructive testing (NDT) of aluminum spot welds can decrease these costs. This proposed spot welding NDT method will incorporate an ultrasonic probe in the welding electrode, which is fully automated and each spot weld tested at the moment of manufacture.
Have you ever wondered what is underground below your feet? In this project, the intern will work at CRM Geotomography Technologies on developing a compact detector that will make it possible to construct 3D images of underground structures. The concept is similar to an X-ray, except that naturally occurring particles called atmospheric muons are used instead of electromagnetic waves. This technique is useful whenever it is necessary to scan volumes of underground earth.
Since the beginning of recorded time, humans have been developing ways to make themselves more beautiful or otherwise change their appearance. The hair-care industry itself has a huge global economic power: its estimated total value is $47B annually. However, beauty does not come without a price: methods currently being used for hair colouring and styling damage hair greatly. More importantly, they involve treatments that have negative effects on human and environmental health.
Infectious diseases ranging from avian influenza to Ebola virus infection are among the most serious health emergencies in Canada and globally. Current diagnosis methods such as cell culture, ELISA and PCR suffer from inaccuracy, high-cost and lengthy procedures. Therefore, there has been a growing trend to develop new point-of-care diagnostic tools and microfluidic devices are considered as an important enabling technology owing to its advantages in miniaturization, precise fluidic control, low-cost and high-throughput.
Where observations of air pollution are unavailable, e.g. from emissions of future facilities or in remote areas, air pollution is simulated with computer models. These models require input of emissions from nearby sources but also of background concentrations that are caused by sources outside of the modelling domain, because the domain is limited by computational power and the need to resolve air quality at a fine spatial resolution.