Supervised by Assistant Professor Eftekhar Eftekharpour, Jesua is part of a research team that is investigating a possible biological connection between diabetes and dementia. While recent population studies point to a correlation between diabetes and an increased risk of developing dementia, researchers don’t yet know the exact biological mechanisms that explain it. Jesua is spending his summer investigating one possible answer.
Structured lipids, specifically diacylglyceride (DAG) oils, have potential to replace trans fats and oils high in saturated fats such as palm and thus provide healthier oils with improved functionalities and sustainability. However, they are produced using costly and environmentally unfriendly enzyme in solvent systems, and have shortcomings when utilized in certain food applications. DAG oils are clinically claimed to help reduce fat accumulation and can have a major impact on obesity, which is currently identified as a global health risk by the United Nations World Health Organization.
Infectious diseases ranging from avian influenza to Ebola virus infection are among the most serious health emergencies in Canada and globally. Current diagnosis methods such as cell culture, ELISA and PCR suffer from inaccuracy, high-cost and lengthy procedures. Therefore, there has been a growing trend to develop new point-of-care diagnostic tools and microfluidic devices are considered as an important enabling technology owing to its advantages in miniaturization, precise fluidic control, low-cost and high-throughput.
The purpose of the project is to generate soybean plants able to tolerate whole plant submergence and waterlogging (soil submergence). This will be achieved by inducing Pgb, a gene normally present in soybean and known to confer tolerance to excessive humidity, through genetic manipulations. Correlative studies between Pgb expression and performance under excessive water conditions will also be conducted in commercial varieties of soybean. Similar studies will be conducted to assess the effect of altered Pgb level to drought stress.
In northern countries, ice storms can cause major power disruptions such as the one that occurred in the Toronto area on December 2013 that left more than 300,000 customers with no electricity immediately after the storm. Prediction of ice formation on power cables can help on taking actions for removing the ice before a major problem occurs. Currently Manitoba Hydro HVDC Research Centre has a vision based ice detection system that uses digital images taken from the overhead line conductors.
The proposed internships will be aimed at developing advanced computer (software) and hardware platforms for simulation of modern power-electronic converter systems used in emerging electric power transmission systems. In particular, modular multi-level converter (MMC) simulations will be targeted. These converters are considered the primary candidates for dc systems used to integrate renewable energy sources into the existing grid. These two internships will develop functional models that can be readily used for the analysis and design of systems involving modular multi-level converters.
Two Hat Security is a company that develops next generation moderation tools for social networking apps. Since images are of the most important data shared by social networking apps, an important problem for the company is to identify images that are unsafe or inappropriate. In particular, images containing certain objects (e.g. knife, gun, bikini, etc.) are considered unsafe. It is obviously not practical to manually sift through all the images to find the unsafe ones.
Hydroelectric dams are hallmarks of colonization in Canada, as they destroy food sources, homeland, habitation, and natural resources of Indigenous peoples. O-Pipon-Na-Piwin Cree Nation (OPCN), an Indigenous community in northern Manitoba, Canada, was flooded and forced to relocate from ancestral lands to a nearby settlement under such circumstances. Regaining strength from their inherent cultural values grounded in their relationship with the land, OPCN eventually formed a community-based food program called Ithinto Mechisowin Program (IMP) ('food from the land').
Load Modeling accurately has been a fundamental and critical subject for many years in power industry. Recently with the deployment of Phasor Measurement Units (PMU), real time data to
analyze the loads has become feasible. Previously, load modeling has been focused on using some models based on pre-assumed certain form of the models, as a consequence the
prediction error would be considerable. We propose to use techniques that do not need such assumptions, therefore it should promote the prediction accuracy of the analysis.
This Indigenous participatory research will work with community members from Garden Hill and Wasagamack First Nations to plan community development and work towards achieving sustainable livelihoods in their traditional territories. Research will consider traditional land use and occupancy, and how branding, community development, capacity-building and social enterprise development can lead to self-sustenance and prosperity. Future plans and enterprises must ensure a good life for these First Nation communities and consider opportunities for the youth, and women.