Although an earthquake can devastate in a few short seconds, restoration and reconstruction can take years to complete. In the 2011 Christchurch, New Zealand earthquake, there were only two major building collapses, yet 70 per cent of the city’s downtown had to be demolished because buildings were deemed uninhabitable. Restoration took five years. Earthquake recovery costs are huge. According to an Insurance Board of Canada study, an earthquake either in BC or Quebec would be nearly ten times as costly as the Fort McMurray fires, which cost over $8 billion.
Endocannabinoids are compounds produced by the human body that bind to and activate cannabinoid receptors. There are two major endocannabinoids: anandamide (AEA) and 2-arachidonoylglycerol (2-AG). Both play a role in regulating the firing of brain cells in the nervous system and attenuating immune system responses. As such, the endocannabinoid system is implicated in several clinically relevant processes including appetite regulation, pain management, fertility, and beyond.
This research project aims at applying machine learning over the existing financial forecasting methods currently employed in the commercial real estate industry. Businesses are actively collecting more data than what can be analyzed effectively using the standard spreadsheet models which have become industry standard over the past few decades. Machine learning algorithms are known to be able to extract complex relationship between many variables in data which make them perfect for an application geared towards forecasting the financial performance of commercial real estate assets.
An MRI (Magnetic Resonance Imaging) scanner is a machine that uses magnets and radio waves to take pictures of the inside the human body without needing to use surgery. An MRI scanner is used to look at things like the brain, liver, heart, and other organs in your body. The scanner uses a coil placed near the body to take a picture of that area of the body. This research project uses new shapes of coils to better detect the organs hidden inside. The new shapes of coils can also help detect
Sodium is a chemical ion which is essential for a healthy brain. The body naturally regulates its concentration inside and outside of cells through normal metabolism. Disruptions in this intricate balance can be caused by various neurological disorders, such as multiple sclerosis, concussion, or Alzheimers disease. In order to provide personalized medical care, a big-data approach is required whereby an individuals brain can be compared to a standardized template or atlas unfortunately, a sodium atlas, representing normal sodium concentrations, is not currently available.
Magnetic Resonance Imaging (MRI) machines use radiowaves and large magnets to safely produce pictures from the insides of the body. The radiowaves are emitted and detected by special antennas that surround the body. Most MRI scanning involves measuring of water in the body. But other atoms, like sodium, can also be seen too. This work described here involves designing new antennas to safely see sodium inside the body. More specifically these antennas will be designed based on novel geometric fractal shapes, which are regularly seen with cell phones.
Doctors are learning that nutrition plays a very important role in patient outcomes. Research has shown that protein is especially critical to patient health and recovery, especially for the elderly and severely ill. The quality of the protein, and the quantity of protein that patients receive makes a big difference. This project will examine how much Canadian health care centres are concerned about the protein their patients consume.
The net 5-year survival rate for patients suffering from liver cancer is less then 20 percent and the number of cases is rapidly increasing in Canada. Unfortunately, currently available oral chemotherapies can only extend median survival by 3 - 4 months making the development of new and effective drug treatments critical. The proposed study aims to pave the way for a new class of drugs to help fight liver cancer and give hope to patients suffering from this deadly disease.
Blood transfusion is one of the most crucial and commonly-administrated therapeutics worldwide. The need for more accurate and efficient ways to manage blood demand and supply is an increasing concern in many countries. Building a technology-based robust blood demand and supply system that can achieve the goal of reducing the costs of wastage and shortage, while maintaining the safety of blood usage, is essential in modern healthcare organizations. Many countries have recognized the importance of applying technology and mathematical models into blood inventory planning and management.
For a software application to be released, it may need a number of standard certifications, which should be issued from different associations and for a wide range of software features (e.g., security, perfor-mance, scalability). We call these associations trusted third parties. The main problem with these trust-ed third parties is that they are single points of failures. For example, if one of these parties gets hacked many software source codes could be stolen.