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.
This research project is part of a broader initiative to establish an “Innovation Nexus on Social Inclusion”, a center for collaborative action-oriented learning to initiate and evaluate innovative strategies for social inclusion. It is being hosted by Mennonite Central Committee (MCC) Ontario in partnership with the Centre for Community Based Research (CCBR) and Conrad Grebel University College.
Informal learning involves acquiring knowledge outside of a structured setting in which
learning is self-directed and developed from experience, exposure, and interactions with their
environments (Nelson et al., 2006).
The availability and reliability of public transit has been a long standing equity issue for residents living in rural communities. This issue significantly impacts those who have lower incomes, the elderly, children, and people with disabilities. Access to of consistent and secure funding has been the main factor challenging the sustainability of rural transit. This research focuses on understanding funding opportunities, challenges, and solutions for rural communities through a case-study of RIDE WELL in Wellington County, Ontario.
The Town of Happy Valley – Goose Bay is located in the central part of Labrador on the coast of Lake Melville and Churchill River and as such it plays a significant role in the area as a place of employment, education sectors, healthcare facilities, shopping, municipal services and healthcare facilities. With a population of 8,109 in 2016, it observed a huge surge in population between 1971 and 1991 in particular. The community is growing day by day but there is no existence of public transit here.
Zanidatamab is an antibody being evaluated in clinical trials to treat breast cancer, biliary tract cancer and gastroesophageal adenocarcinomas linked to the overabundance of a protein known as HER2. Zanidatamab was developed to bind to two copies of HER2 in tandem instead of one, increasing its binding affinity and improving its inhibition of HER2 tumor-promoting activities. The binding of each zanidatamab to two copies of HER2 is proposed to form a network of HER2 linked by zanidatamab.