Scleroderma is a rare autoimmune connective tissue disease that damages skin and internal organs. Although many Canadians with scleroderma live at home with supported care from family, seeing their loved ones struggle with reduced participation in activities of daily living caused by disease symptoms often causes caregivers emotional distress in their caregiving role.
Ardra Inc. has sustainably produced many high-purity chemicals that are used for various flavor, perfume, and cosmetic applications. Combining industrial/business expertise provided by Ardra with academic/research skills provided by Dr. C. Perry Chou’s lab, we are aiming to effectively produce high-value heme compound using engineered E. coli host organism. Major efforts will be dedicated toward engineering of this bacterium by adopting synthetic biology, metabolic engineering, and bioprocessing strategies to facilitate large-scale bio-based production of heme.
The infrastructure industry needs a way to non-destructively assess plastic pipe joints. We aim to research, design, and develop methodologies and a prototype device that allow automated inspection of these joints (made with the two most common joining methods) using ultrasound and artificial intelligence (AI). We propose a novel method that uses a two-element ultrasonic transducer (inexpensive but sensitive enough compared to previous methods).
Computer simulations have been widely used by the offshore and marine industry, but they typically use different software to simulate different components of a single operational scenario. For example, the tool can be used for the analysis of wave loads of a moored structure in ice infested areas, eliminating the need for analyzing wave load, mooring tension, and ice loads, separately.
With the advantages of swimming with quiet, compliant, and continuous strokes, soft robot fish have significant potentials to be used in the study of marine life and ocean environment quietly without disturbing marine animals. Our project is to design and build a robot fish that is self-contained and capable of mimicking body kinematics of biological fish in nature. A new actuation mechanism is proposed in this project. It will efficiently transmit the motor power to the continuous oscillation of soft tail to allow the robot fish to maneuver in the water.
Social media has substantially changed the information landscape for winter backcountry recreation (e.g., backcountry skiers and snowboarders, mountain snowmobile riders and snowshoers), which has created both opportunities and challenges for avalanche safety. The Avalanche Research Program at Simon Fraser University and Avalanche Canada are conducting a study to examine how recreationists seek, share and introduce social media related information to their avalanche risk management process.
COVID-19 has introduced significant challenges to healthcare systems and caregivers to provide quality care to older adults and adults with developmental disabilities (DD) living in long-term care facilities (LTCFs). As a result, regular doctor visits are limited, and demand for caregivers is on the rise. Utilizing a Collaborative Service Robot (CSR) technology within a LTCF can improve accessibility to healthcare by providing a medium for the residents to connect to healthcare professionals on demand and simultaneously reduce the risk of transferring infection.
This research will enable Red Sucker Lake (RSL) First Nation members to monitor RSL territory, lands and waterways and document Indigenous knowledge systems (IKS), including cultural aspects as well as environmental assessment, by video, maps and workshop teachings. In the process, Elders and Knowledge keepers will not only honour their cultural traditions but also train the next generation of leaders and land stewards.
CRISPR/Cas9 is a promising tool for genome engineering in bacteria, but it's limited by inconsistent accuracy. Though some studies have been conducted to understand why this inconsistency occurs, many important biological features have not been explored. Moreover, computer based attempts to predict accuracy have suffered from these knowledge gaps. This is due mainly to the fact that the mathematical equations that these predictions are based on, do not take these biological features into account.