The rise of Big Data, social networking, and mobile interactions coupled with an accelerating increase in the amount of structured and unstructured information enabled by cloud based technologies is forcing organizations to focus on information that is most relevant, value-generating, and risk-related. Problems arise when we make decisions based on good enough metrics (e.g. means) […]

Every technology today, from phones to EVs, rely heavily on lithium-ion batteries, which account for more than 90% of the world grid market. While these batteries make us independent of fossil fuels, we must remember that lithium is a finite resource, hence making it crucial for maintaining a secure Lithium supply and ensuring proper disposal […]

BioAro Inc. is a biotech startup that provides valuable health insights through genetics and microbiome testing, helping people understand their health risks and make better decisions about diseases, medication, and nutrition. They have recently launched two new products: PanOmiQ, a software that gives quick insights into the human genome, and BioSport, which offers personalized health […]

The proposed project by LysisLogic Scientific Inc. aims to create a strategic blueprint for two of its innovative technologies. This initiative will align scientific research with business strategies to accelerate the technologies’ journey from the lab to the market, based on comprehensive market research that identifies industry trends, opportunities, and growth areas. The outcome will […]

This project is a necessary step toward model development for machine condition assessment that is capable of both diagnosis and prognosis including root cause analysis. The analytical model, once validated and calibrated can serve as a baseline model or a template for the detection of machine health problems. Because of the details of a machine […]

The internship project involves working with mesenchymal stromal cells (MSCs), which play a key role in regenerative medicine due to their translational potential. I will be conducting experiments to find new ways to regulate and modify the functions of these cells, and analyzing high-throughput screening data to find novel therapeutic targets. Along the way, I […]

Selenium nanoparticles are used in the biomedical field to treat diseases such as diabetes and inflammatory diseases. Also, many studies have been reported on the antioxidant, antimicrobial, anticancer, anti-leishmaniasis, and anti-biofilm activity of these nanoparticles. Other applications of selenium nanoparticles are included in dye degradation and use for mercury bioremediation. The aim of this study […]

Cardiovascular disease remains a leading cause of death in Canada and is a progressive disease characterized by heart dilatation and impaired heart function that can ultimately lead to heart failure, with a rising incidence and a 5-year survival rate of only 50%. Advanced cases of heart failure caused by dilated cardiomyopathy (DCM) are referred for […]

FluidPlanet.org is a site that hosts digital twins for use in education, entertainment and enterprise. We work with university and college students to produce and publish simulations of real world places.

The proposed research project focuses on studying the urban heat island effect, which is a phenomenon where urban areas experience higher temperatures in urban areas than their surroundings. This effect can impact public health, energy usage, and urban planning. The research will use advanced analysis techniques to understand how different factors like building characteristics and […]

This project plans to unravel the relation between habitat characteristics and social dynamics that influence sexual segregation in Rocky Mountain bighorn sheep (Ovis canadensis). We will evaluate environmental and behavioural factors to better understand habitat preferences and social interactions that drive observed seasonal social and habitat segregation in bighorn sheep. The results of this study […]

This research project will systematically evaluate data-driven mode decomposition techniques (POD, Spectral POD (SPOD), finite impulse response SPOD (FIR-SPOD) and a machine-learning (ML) based nonlinear method) for separating and reattaching flows using existing experimental and numerical databases of a laminar boundary layer approaching an FFS. There will provide three significant results: (1) critical insight as […]