Advanced chronic kidney disease (CKD) patients require close surveillance, as CKD patients are at high risk of adverse events including death, acute dialysis initiation, emergency department (ED) visits and hospitalizations. Previous data from our population-based provincial study showed that there is a 10-fold increase in ED visits and hospitalizations related to kidney failure and its complications during the 30-day period before the start of dialysis.
Electromagnetic metasurfaces have shown great potential in the field of antenna design thanks to their abilitiesto systematically manipulate electromagnetic waves in extraordinary ways such as the generalized refraction andreflection, impedance matching, polarization control, etc. However, the synthesis of a metasurface based on therequired scattering properties still largely relies on the designer’s intuition and experience as well as manyiterations of full-wave electromagnetic simulations which is an expensive and time-consuming process.
Tile drainage is becoming popular as a way to control excess moisture in the field to increase productivity. Yet, the economic return on investment (ROI) on installing tile drainage is not known in Manitoba. This research will allow us to assess the impact of water management through controlled drainage on yield. Detailed water table depth at different times will help us model water flow within the rootzone and its impact on crop yield.
Laser Interstitial Thermal Therapy (LITT) is a minimally invasive neurosurgical procedure that uses an MRI-guided laser fiber for selective heat destruction of brain tumors. LITT is the only option for patients with inoperable brain tumors. LITT causes prolonged opening of the blood-brain barrier (BBB) and blood-tumor barrier (BTB) which allows immune cells to passage from the blood into the brain and brain tumor tissues. This ability of LITT to induce a temporary leakiness of the BBB/BTB may offer new applications of LITT in immunotherapy.
This research attempts to find the best 3D printing technology and 3D printing material (filament) that matches with a local urban community’s demand for customized interior design solutions, including furniture, tailored walls, personalized partitions, lamps and decorative elements. By investigating proper hardware and technology for public use, this research will foster the culture of creativity and will help communities find 3D printable solutions to improve the quality of their built environment.
My proposed project intends to investigate the export of dagaa (dried fish) from the African Great Lakes to Canada. My research examines the ecological impacts, the consumption patterns, and sustainability of both ends of the dried fish value chain. This builds on my doctoral research which looked at the sustainability of fisheries-based livelihoods on Lake Tanganyika. Now I wish to expand this to Lake Victoria, the borders of which are shared by Tanzania, Congo, Uganda and Kenya, and to include in the analysis, the economic activities of sub-Saharan African migrants to Canada.
With hundreds of students enrolled in each public elementary or secondary schools in Canada, can the same strategy be applied to address the needs of a diverse student population to motivate them to be their best selves? This may be difficult, after all, we are humans characterized by our uniqueness. Therefore, educators and decision-makers may utilize clustering students into sub-groups which share the same motivational characteristics.
Bearings are typically located in the heart of all rotating applications, with rotational speeds, forces, and vibrations impacting them somehow. Due to various reasons, such as fatigue, bearings encounter abrupt operation failure that damages surrounding components. In some applications, such as wind turbines and high-speed trains, it is expensive to replace the bearing and other damaged parts, despite the threat to humans’ lives. Since condition monitoring requires expensive sensors, many small industries still use conventional methods like run-to-break.
Composite structures are very popular in industries due to their lightweight and high strength. They degrade and cause huge economic losses or even serious disasters. Structure health monitoring has a great significance in the operation and maintenance of industrial assets. Current commercial software for structural health monitoring uses traditional and common methods which are only effective in constant loading conditions and require a large amount of historical data to train models. The intern has developed an unsupervised structural damage detection technique.