Cognitive impairments are the most common long-term challenges after traumatic brain injury (TBI). There is very little research on interventions to improve cognitive function after brain injury. The goal of this project is to evaluate whether and how an intensive cognitive intervention program (Arrowsmith program) may stimulate positive changes in the brain. We have already started this program and showed that after 3 months of intervention, there were small changes in both brain and behaviour.
Hypersensitivity to sensory stimuli causes overstimulation, inducing overwhelming emotional distress in individuals with an autism spectrum disorder (ASD). Reveal is a wearable device designed by Awake Labs that monitors anxiety levels in ASD children and interfaces with parents and caregivers. It predicts behavioural meltdowns by tracking and classifying key physiological markers of anxiety using machine learning technology. However, the features between which this model is trained to differentiate were developed ad hoc, and built from data that was collected from adults without ASD.
Research suggests that individuals with autism live a lower quality of life than their peers. Individuals with autism are more likely to become obese than their typically developing peers, and less likely to develop friendships and be involved in their communities. While physical fitness service providers are experts in physical fitness, working with individuals with autism can require additional teaching skills. This study will investigate the effectiveness of instructor implemented Positive Behaviour Support for young adults with autism in a physical fitness program.
Hydrogen fuel cells require humidification in order to operate effectively, yet, at the same time produce a constant stream of moisture through their exhaust. Membrane fuel cell humidifiers provide a method of recycling this moisture, thereby saving energy. They work similarly to heat exchangers, but take advantage of special polymer membranes in order to exchange moisture. Fuel cell environments can be very taxing on membranes, reaching temperatures of 95C, so selecting the right membrane material is of utmost importance.
HMR-Canada has introduced magnetic liners for grinding mills that will improve the mill performance and efficiency. Mill liners have two main functions. First they protect the mill shell from wear and deliver energy to the material by lifting the material in a trajectory that creates the energy needed to break the rocks.
Magnetic liners in specific add other functions to the liners. They attract scats and magnetic minerals that form a renewable protective layer, which would increase life span of liners and shell, easier and faster to install.
As computer chips approach the nanometer-scale size, it is becoming increasingly clear that the next revolution in computing technologies will be enabled by quantum computing. A pioneer in quantum technologies aimed at quantum computing, the Canadian company D-wave Systems has developed quantum annealing processors consisting of superconducting circuit that can be used as efficient devices for solving high-dimensional optimization or sampling problems. The same problems can be solved using conventional computers and it is not yet clear if quantum annealers offer quantum speedup.
The alignment of the dissertation and the CE in terms of preparing students as researchers in today?s environment or for innovative work outside the academy is in question. The purposes and structures of these basic PhD components have not changed significantly since the origin of the modern PhD, which was developed primarily as a vocational degree for the professoriate.
Neuropsychiatric disorders, including depression and anxiety, represent prevalent and disabling medical conditions affecting society. Despite the urgent need for novel pharmacotherapeutics to treat these conditions, there are few new drugs in development by the pharmaceutical industry. Cannabis has been used by humans for thousands of years to self-medicate a range of different neuropsychiatric symptoms, although few studies have addressed this issue in a scientific manner.
Merging different sub-companies into TELUS caused some of customer records to be repeated through the merged data-set. Algorithms are needed to determine the duplicate records. Currently a deterministic algorithm is being used in TELUS. In this project, we will investigate if machine learning can help to detect duplicates. Solving this problem has several parts. We have to preprocess the data and select some features from the TELUS records that help us in our model. A probabilistic model should be selected, implemented and tuned.