Determining Canadian Healthcare Providers’ Intentions to Receive the COVID-19 Vaccine and Improving Current Health Communication Strategies

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 […]

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Semi-Supervised Learning for NLP Text Classification

Insurance companies collect huge volumes of text on a daily basis and through multiple channels, which can be used for lots of different analyses, including identifying “cause of death”. It is difficult to overestimate the importance of an insurance company’s need to understand the facts and circumstances surrounding an insured individual’s death. These facts, including […]

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Membrane filtration for reuse of greenhouse wastewater

Most operations of horticulture are intensive users of water and nutrients. Growers recognize the importance of water conservation and recycling, and environmental protection and significant research dollars have been invested to develop integrated pest-management systems to reduce pesticide use, to optimize water and nutrient use within the operation, and encourage recirculation. The proposed project seeks […]

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Mapping Intangible Cultural Resources through Reading Culture Analysis

In 2011, the City of London started developing a cultural resource database and mapping capability to provide a calculation of the economic impact of culture in the city and an assessment London’s cultural facilities infrastructure, with focus on tangible cultural resources. Although potentially more valuable than the tangible cultural assets, intangible cultural resources have not […]

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Fully Automated End to End Analysis of Non-small-cell Lung Carcinoma using Deep Learning Techniques.

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 […]

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Identification and assessment of bioactive yeast strains and cell wall components

Since yeast probiotics and their cell wall components (CWC) are being used to treat enteric inflammatory diseases in different species including humans, they may be useful for preventing Johne’s disease, a chronic inflammatory bowel disease of ruminants caused by Mycobacterium avium spp. paratuberculosis (MAP). Considerable variation in the efficacy of different yeast probiotics and their […]

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Metal Mixtures – Data for Field-Relevant Soil Quality Criteria to Protect Plant Health

Environmental quality criteria (EQCs) for soils are not designed to protect ecosystems from multiple contaminants that co-occur. EQCs are overwhelmingly based on dose-response studies of single contaminants, and lack mechanisms for scaling EQCs to accurately predict metal mixtures toxicity. The inability to predict risk for metal mixtures in soils at Canada’s many current and legacy […]

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Equity in Rural Transit: Investigating the Feasibility of Permanent Public Transit in Wellington County, Ontario

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 […]

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Using long-term monitoring data to quantify the impact of white-tailed deer reduction on vegetation and avian communities at Long Point, Ontario

Through analysis of vegetation data collected between 1991 and 2021 in Long Point National Wildlife Area, it is the goal of the research to identify trends and changes in sand dune vegetation communities following a reduction of white-tailed deer browsing pressure. By evaluating the rate and level of change in vegetation diversity, structure, and composition, […]

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Human-Based Study to Characterize the Biomechanical, Physiological and Comfort Impact of Alternative Torso-Borne Loads and Load Distributions

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’ […]

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CASI Platform, Environment pillar: Benchmarking the environmental and climate performance of Canadian Agriculture

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. While these […]

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