Scleroderma or Systemic Sclerosis (SSc) is an autoimmune disease characterized by progressive fibrosis of skin and multiple internal organs and prominent and often severe alterations in the microvasculature. Although SSc is the third most common systemic inflammatory autoimmune disease, there is currently no effective disease-modifying therapy for SSc. The overall objective of this project is to develop a novel therapeutic approach for SSc via the modulation of autophagy levels in disease-causing neutrophils.
The current project will focus on understanding the behavior of one of the most important CANDU reactor components when it is subjected to the reactor environment. This study will develop a fundamental understanding of the X-750 material’s behavior resulting in innovative technologies that benefit the nuclear industry in Canada.
This research project between the University of Windsor and Pratt & Whitney Canada (P&WC) is focused on a porous composite material used by aircraft engine manufacturers in the design of fancases of turbofan engines. The objective of the project is two-fold and includes 1) experimentally investigating the behavior of the composite material at different loading conditions; and 2) identifying a model that can be used to represent this material in fan blade-off simulations.
The durability of building materials is an important criterion to ensure long-term performance of buildings exposed to various environmental loads. Particularly, exterior building surfaces are exposed to high solar radiation and temperature differences during the year which can considerably influence their durability due to thermal stresses. Additionally, in light of the increasing need for energy saving in buildings, reducing this thermal stress and temperature fluctuations on exterior surfaces of buildings could help with indoor room temperature regulation in buildings.
Wastewater is an abundant and an underutilized thermal energy source that experiences relatively constant temperature year-round with predicted flow rates. These features serve as a heat source/sink for heat pump-based HVAC systems to provide combined heating, cooling and domestic hot water to large-scale commercial, residential, and institutional buildings. There is a substantial potential in extracting enough thermal energy from sewer with relatively low carbon footprint.
The evolution of aerospace technologies and automated systems has been accompanied by the phenomenon of “de-crewing”. A large body of current research focuses on how to move to single-pilot operations (SPO), but a major barrier to the implementation of SPO and other autonomous commercial aircraft operations is that advances in human-machine interactions and human factors have not kept pace with technological change. The objective of the research project that is the subject of this proposal is to develop a methodology to simulate autonomous flight in a real-time, virtual environment.
Currently halogen-based flame retardant is widely used as cable covering material in various industries including oil and gas. Studies have concluded that these materials will produce toxic gases and acidic fumes, and also persistent against degradation in landfill. These negative consequences resulted in a global ban on halogen-based flame retardant. This project is a direct response to the global ban by developing new low smoke zero halogen (LSZH) flame retardant without the aforementioned problems.
Fall detection systems, are targeted to older adults living alone to identify fall events and mitigate prolonged wait times to treat injuries typically. These systems use a wearable, such as a Ffitbit or Apple watch, paired with an algorithm to detect falls and alert caregivers or emergency services. However, large variability in type and circumstances of falls (e.g., from a small height with low impact) are a problem when trying to accurately detect and predict falls.
The proposed project will establish an echo-system consisting of various environmental sensors and actuators and how they can be integrated to build a prototype indoor garden for demonstration purposes. Through utilizing IoT-enabled sensory data from image and environmental sensors, one can obtain relevant information about plant growth in real-time or use the data for a posteriori analysis. The large number of generated data will be used to create mathematical signatures that can be used for a variety of applications such as detecting anomalies in the growth process.
Early detection of pathogen biomarkers such as E. coli is important for management of water bodies and agricultural farms. This information is invaluable to municipalities, provincial governments and private enterprises. Such information could have probably prevented the worst-ever outbreak of E. coli contamination in Bruce County, Ont. in 2010 where 2,300 people fell ill and seven died (Source: CBC News, Canada). At present, live detection of biological contaminants in water supply has no solution. The project will focus on developing printable sensors that can sense the bacteria rapidly.