Publications by authors named "B E Low"

Background And Objectives: Vaccination is one of the most searched health topics online, yet the quality of resources varies considerably. This study evaluated the quality of Canadian COVID-19 vaccines online resources for caregivers of 5-11-year-old children.

Methods: We reviewed Canadian public-facing websites from academic pediatric hospitals, governments, professional organizations, and public health authorities until April 22, 2022.

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The maritime industry's shift towards ammonia as a low-carbon fuel demands a re-evaluation of environmental criteria, especially in biodiverse and yet data-sparse Southeast Asian tropical seas. To fill the knowledge gap, this study proposes an updated set of ammonia criterion values for these marine environments, detailing the development process, assumptions, and limitations. Utilizing the widely used species sensitivity distributions with over 50 regionally relevant species, the study estimates criterion values for ammonia in Southeast Asian tropical seas.

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Background: Active pharmaceutical residues introduced into the environment through irresponsible household disposal of unused and expired medication can damage nature and health. Through medication take-back programmes, these risks can be mitigated. However, healthcare professionals' neglect of their responsibility to ensure proper disposal practices has perpetuated subpar norms among the public.

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Focal adhesions (FAs) are force-bearing multiprotein complexes, whose nanoscale organization and signaling are essential for cell growth and differentiation. However, the specific organization of FA components to exert spatiotemporal activation of FA proteins for force sensing and transduction remains unclear. In this study, we unveil the intricacies of FA protein nanoarchitecture and that its dynamics are coordinated by a molecular scaffold protein, BNIP-2, to initiate downstream signal transduction for cardiomyoblast differentiation.

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Sample normalization is a crucial step in metabolomics for fair quantitative comparisons. It aims to minimize sample-to-sample variations due to differences in the total metabolite amount. When samples lack a specific metabolic quantity to accurately represent their total metabolite amounts, post-acquisition sample normalization becomes essential.

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