The effect of phyto-cannabinoids on osteoclast differentiation and function

The recent legalization of marijuana in Canada opens the opportunity to study in detail the effects of cannabinoids on human physiology. This academic-industry initiative will combine resources to isolate compounds from cannabinoids to study their effects on bone cells. Specifically it will examine the effects of cannabinoid compounds on how the destructive osteoclasts form and act upon the bone in vitro. This cell culture work will pave the way for future clinical studies. Bone-wasting disorders like osteoporosis are a major economic burden and inflict a large population of the elderly.

Generalization in Deep Learning

In recent years, deep learning has led to unprecedented advances in a wide range of applications including natural language processing, reinforcement learning, and speech recognition. Despite the abundance of empirical evidence highlighting the success of neural networks, the theoretical properties of deep learning remain poorly understood and have been a subject of active investigation. One foundational aspect of deep learning that has garnered great intrigue in recent years is the generalization behavior of neural networks, that is, the ability of a neural network to perform on unseen data.

Testing nutrient profiling tools and portion size based initiatives (education, regulation and reformulation) for public health policy in Canada - Year two

Poor diet is one of the factors associated with obesity and overweight, which may increase the risk for chronic diseases such as diabetes, heart disease and cancer. Two ways to improve the diets at the population level are to 1) establish public health initiatives (e.g.

Improved Numerical Combustion Models for Predicting and Reducing Pollutant Emissions in Gas Turbine Engines

Gas turbine engines are the primary propulsion device for today’s aircraft. These engines operate on liquid hydrocarbon-based fuels and as such can yield a range of undesirable pollutants including gaseous emissions such as nitrogen oxides (NOx), carbon monoxide (CO), green-house gases (GHG, largely CO2, really a combustion product) and unburned hydrocarbons (UHC), as well as nanometer-sized carbonaceous particulate matter or soot.

Improved Numerical Combustion Models for Predicting and Reducing Pollutant Emissions in Gas Turbine Engines

Gas turbine engines are the primary propulsion device for today’s aircraft. These engines operate on liquid hydrocarbon-based fuels and as such can yield a range of undesirable pollutants including gaseous emissions such as nitrogen oxides (NOx), carbon monoxide (CO), green-house gases (GHG, largely CO2, really a combustion product) and unburned hydrocarbons (UHC), as well as nanometer-sized carbonaceous particulate matter or soot.

Electrochemical Fischer-Tropsch Synthesis of Renewable Liquid Fuels from CO2

Despite a rapid decline of electricity costs, there is still demand for energy-dense liquid fuels, such as in heavy freight and air transportation. Liquid fuels can be synthesized from a mixture of carbon monoxide and hydrogen called synthesis gas (syngas). However, this process requires high temperatures and pressures, and is itself responsible for significant greenhouse gas emissions. We propose the use of electrocatalysis to produce these liquid fuels.

3D Perception and Prediction for Autonomous Driving

For an Autonomous Vehicle (AV) to make decisions and drive independently on urban streets, the problem at hand can be broken down into many phases, two of which are perception and prediction. Perception refers to the process of extracting valuable information from the environment using data collected by sensors such as LIDAR and camera. This includes detection of cars, ped estrians, lanes among many objects. Prediction refers to the process of tracking all the known objects and predicting the possible future actions so as to enable the autonomous vehicle to make informed decisions.

Development of Dielectric Coating for the Next Generation Wearable Heart Monitoring System

Electrocardiography or ECG is a technology that can be used to monitor the electrical activity of the heart over a long period of time. Such signals can be utilized for interpreting both the structure and function of the heart. Traditional ECG designs consist of several electrodes that need to be placed directly in contact with a patient’s skin. These metallic sensory electrodes are usually made into disc-like configuration and one of the major drawbacks is the inconsistency in signal recording due to poor skin contact from the non-flexible nature of the electrode design.

Integrating mass spectrometry and computational chemistry for suspect and non-targeted screening of industrial effluents

Thousands of chemical compounds are released into the environment as a result of human activity. While exposure to manufactured chemicals is concerning, the majority of such contaminants are not monitored by regulatory agencies and their environmental and human health impacts are unknown. The objective of this collaboration is to develop and evaluate state-of-the-art tools to identify chemical contaminants in our environment. Specifically, contaminant molecules will separated and detected using a technique called gas chromatography-atmospheric pressure ionization mass spectrometry.

Design and Development of an Emergency Response Station

The remote First Nations communities of Canada suffer from a dire lack of access to emergency response systems and services during times of crises. They lack access to life-saving services such as paramedics, 911 services, and search and rescue services due to their geographic isolation. This often puts them in grave danger and results in loss of lives.

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