Some healthcare providers have concerns, misconceptions, and reluctance to receive the COVID-19 vaccine, which puts them at risk of occupational and public exposure to the virus. This is called vaccine hesitancy, which is defined as the delay or refusal of vaccines in the presence of vaccination services. Widespread vaccination is an effective public health measure in reducing health burdens and nationwide economic restrictions associated with the disease.
Many rural regions do not have a sufficient labour force providing the skills that rural businesses need. Many job vacancies go unfilled or are filled by less than ideal candidates. This research looks at strategies to attract and retain the workers that Ontario rural communities need to generate economic development and vitality. By engaging local actors, the researcher will analyze the various dimensions influencing attraction and retention of an appropriate labour force such as affordable and attainable housing, transportation, access to health services, education/training services.
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.
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.
To address the increasingly important problem of global insect pollinator declines, this project will investigate the relationship between three different natural habitat types (hedgerow, forest patch and restored prairie grass) and their impacts on wild pollinator biodiversity in Canada. This will be studied through the use of Malaise traps place on agricultural land adjacent to these key habitats to monitor for changes in abundance and diversity of native pollinators.
Yogourt demand has increased significantly over the past decade, accompanied by a fast-paced diversification in types of product, requiring specialized processes. The challenge faced by Lactalis Canada is to continually adapt the fermentation process to obtain consistent and optimum quality, shelf-life and sensory profile using the cooperation of living microorganisms as starters in milk which already contains a variable microbiome.
The need for food (26.6% increase since the year 2000 according to Statistics Canada 2016) and the cost of energy are increasing rapidly as the world population continues to grow exponentially. Moreover, world-wide demand for fresh water is rapidly increasing while supply is very limited. Agriculture uses 70% of the global fresh water supply as compared to hydroponics that only use 10%. However, these systems require large amounts of energy to operate. Reducing energy cost and improving productivity is critical for the sector to expand.
Torso-borne protective clothing and load carrying equipment (ie. bulletproof vests) is fundamental to the safety of Canadian Armed Forces personnel. To make informed decisions on purchasing and developing new equipment, a suite of mannequin-based tools was developed by Defense Research and Development Canada. They are developing a female model to reflect the Canadian Armed Forces’ goal to increase diversity within its ranks, particularly with the representation of women. HumanSystems® Incorporated has been contracted to complete human testing to help validate the new tools.
By 2050, agri-food systems must produce enough to feed 9 to billion people, while reversing trends of environmental degradation caused in part by agriculture production. This is no small task, and underscores why countless sustainable agriculture standards, certifications, initiatives and platforms have emerged to encourage and measure the impacts of sustainable agriculture practices.
The overall objective of the proposed project is to construct a simulation model that will estimate production impact of disruption in swine marketing in Ontario, and propose mitigation strategies that could minimize impact of such disruption on swine populations and swine producers. Such disruption could occur due to various reasons such as outbreak of human disease among abattoir workers, or due to border closure that occurs due to hypothetical detection of reportable foreign animal disease in Canada.