Excess water can damage roads by weakening the aggregate base soil or underlying native soils, from formation of ice in colder regions, and causing ground to swell where expansive soils are encountered. Relatively new products called wicking geotextiles can improve drainage and remove water through suction to prevent these causes of road damage. These products are polymer fabric sheets which are laid down under the road prior to construction.
In this project a driving simulator in virtual reality will be designed and developed, in which a user can drive a virtual vehicle in a country road with incoming cars and traffic lights and possibly some animals crossing the road. The users will learn the path to reach a destination through the trial and then they are supposed to drive the virtual vehicle in the same pathway and by doing so, strengthen their spatial navigation skills. The game will be played by a physical steering wheel and two pedals for acceleration and brake like a real car.
The Western Interior Seaway covered much of North America in the Cretaceous period and hosted a diversity of now extinct animal life. This PhD research project will focus on collecting data that will help understand where and how animals lived in the Seaway, and where and how their fossils were preserved. The first step will be to produce the first detailed geological map of the Canadian Fossil Discovery Centre’s (the partner) property in Morden, Manitoba, with the detailed stratigraphic positioning of all previous and new fossil sites.
Extending the grazing season by maintaining beef cattle on pasture in late fall/winter has been adopted by many Prairie producers as it significantly reduces labour and feed costs compared to feeding cattle in confinement. However, the industry is now positioned to push this paradigm further to include extended grazing strategies utilizing novel plant species for replacement females and backgrounded cattle in the fall/winter.
Many of St.Amant’s services are shifting to provide the most inclusive, supportive, community-based services with the intention of enhancing health, accessing to healthcare, and improving the quality of life of persons supported and that of their families and caregivers.
Submitted by msilvarodrigues on 02/22/2023
The innovative work of the not-for-profit Arctic Research Foundation (ARF) facilitates community-led solutions for some of the biggest problems facing Northern communities, such as the need for green energy, standardizing and better disseminating data from Arctic research, addressing disruptions in food supply from the land, and responding to rapid changes in lake and ocean water and the impact on fisheries and marine mammals.
Inner-city organizations in Winnipeg have long called for transformation of the policies and practices that created injustice for inner-city residents. This year’s State of the Inner City report uses precedent studies to identify funding models that foreground community leadership, and knowledge translation and community development events to celebrate the people and community organizations of the inner city.
This study aims to develop a soft and flexible magnetic millirobot based on elastic and biocompatible polymers that can generate voltage as it moves. By using this proposed millirobot, locomotion efficiency can be increased with a decrease in resistance under challenging and harsh conditions in stomachs and digestion systems. In addition, it can serve as a carrier for a drug-loaded sponge, LED, or sensor since it is capable of carrying different objects. Providing less risky treatment for both patients and physicians is the main goal of this project.
Detection and quantification of biological species are critical to many areas of healthcare and life science, either intending to diagnose diseases or discover and screen new medicine molecules. Central to detection are the biosensors that generate a signal associated with the selective recognition of a species of interest. Nanostructures, such as oxide nanowires with large surface-to-volume ratios, offer new and unique opportunities to develop novel biosensors.
Machine learning applications in healthcare have shown excellent inroads in medical imaging sciences in recent years. Our research aims to improve upon and open up doors into several different pathology diagnosis applications using artificial intelligence. Contemporary research into some of these applications has shown better diagnostic capacity than expert-level clinicians. Our research into artificial intelligence applications in healthcare include autonomous polyp and bone metastasis pixel-level detection, along with pathology detection in chest x-rays without explicitly labeled data.