At least 50 million people are living with Alzheimer disease (AD) worldwide and the number is estimated to grow to 150 million by 2050 making it a global epidemy. AD in the sixth cause of death in north America and its estimated cost of caring is $277 billion yearly, yet no cure is available for AD. This is partly because current diagnostic techniques are expensive- ranging from $1500 to $6000- or invasive- require lumbar punctures-, which makes early screening and disease monitoring difficult.
Grasslands store carbon, regulate water, recycle nutrients, and conserve biodiversity. In western Canada, seasonally flooded, wet meadow grasslands, also provide habitats for species at risk. Despite their importance to conservation, little is known about the effect of grazing on these ecosystems. This research will help understand how grazing effects plants, soils, and the ecosystem services provided by wet meadow grasslands. Specifically, this project will explore links between grazing, plants, and soil nematodes, small worm-like animals, that recycle carbon and nutrients in soils.
The project will create a research-based strategic plan and roadmap that describes when and how to best introduce NG-911 services in British Columbia. The research needs to consider the unique BC context including review of current legislation, our emergency response structures and practices, current technologies, societal expectations and political norms. The work also needs to consider global trends and developments in emergency communications from industry, government and emergency response agency perspectives and identify the implications in BC.
Twitch is a video live streaming service and a subsidiary of Amazon. Twitch primarily focuses on video game live streaming, broadcasts of esports competitions, music and creative content. Twitch clients upload their encoded video to Twitch’s servers. The user generated content (UGC) is then transcoded. Transcoding is the process of decoding UGC, making alternations to it, and then encoding it again. During transcoding, video will be encoded at a lower bit rate or its resolution might be lowered.
In public sector, the decision making of construction permitting can have direct impacts on the ongoing urban development. The efficiency and predictability of the review process is critical for municipalities to provide timely and accurate results to the public. As the review process is managed digitally with process data available, using data analytics to develop predictive models can result in improvement of efficiency and predictability.
The current waste disposal cells at the Municipality of Roblin has been full. They have to design a new cell to receive more waste. This project is predicted to determine its feasibility through an environmental assessment in view of the proposed waste disposal cell. Moreover, the recycling program has been conducted in this region. However, the diversion rate is expected to improve. Optimizing the existing recycling program is one of the objectives of this project. Besides, consider whether there are other programs to enhance the waste diversion rate.
In Winnipeg, MB, grass and weed growth can be seen during the summer, up until the middle of October. Weeds such as dandelions are hazardous to human health as they can trigger allergic and asthmatic reactions to the public. Their roots can grow up to two feet long if not removed on time. During the grass growth period, the City of Winnipeg uses many mowers of different sizes and horse-powers to mow and remove the weeds in boulevards, athletic fields, parks and other city owned green spaces. Currently, mowing routes are decided manually by the foremen. This is inefficient and time consuming.
The purpose of this project is to improve the lives of citizens in The Region of Durham through a partnership between the Regional government and Ontario Tech University. This project will tackle issues related to aiding vulnerable populations in our communities such as members of our homeless population and seniors living in long-term care homes.
Deep learning in medical imaging analysis has revolutionized the field in areas such as computer-aided detection and segmentation of clinical abnormalities. Several studies have been published on lung cancer screening using deep learning methodologies. Specific to lung cancer screening, algorithms have been trained to automatically detect and diagnose lesions in the lungs in low dose computed tomography (CT) by leveraging longitudinal imaging in combination with biopsy results.
This study will identify a practical approach to bring a standard mid-size municipality into adherence with the ISO 14001, Environmental Management System standard, for its municipal wastewater system. This will increase the levels of government regulatory compliance, resilience on municipal infrastructure and reduction of risks for basement flooding, spills and overflows of raw sewage to the environment.