Publications by authors named "G Newell"

Article Synopsis
  • A national registry for congenital heart disease (CHD) in Canada aims to streamline research, cut costs, and enhance statistical power by automatically identifying CHD patients from existing clinical data.
  • This project successfully extracted data from 885,287 echocardiogram reports and 70,121 clinical records, identifying over 43,000 children and nearly 5,000 fetuses with CHD.
  • The initial registry in Québec demonstrates the potential for a centralized, user-friendly database that can support various CHD research projects and potentially expand to a national level.
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Given evidence that adolescent students' motivation to read and write about literature declines with age, we proffer an approach called dialogic literary argumentation (DLA) that asks students to explore literature through argumentation in pursuit of understanding the meanings and possibilities of being human. This quasi-experimental study compared the effectiveness of DLA with close reading (CR), a common approach to teaching literature in high school English language arts classrooms, in improving students' motivational beliefs about writing and literature-related argumentative writing. The study also examined how the links between motivational beliefs and argumentative writing performance varied by instructional contexts.

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Measuring the status and trends of biodiversity is critical for making informed decisions about the conservation, management or restoration of species, habitats and ecosystems. Defining the reference state against which status and change are measured is essential. Typically, reference states describe historical conditions, yet historical conditions are challenging to quantify, may be difficult to falsify, and may no longer be an attainable target in a contemporary ecosystem.

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The ongoing global change and the increased interest in macroecological processes call for the analysis of spatially extensive data on species communities to understand and forecast distributional changes of biodiversity. Recently developed joint species distribution models can deal with numerous species efficiently, while explicitly accounting for spatial structure in the data. However, their applicability is generally limited to relatively small spatial data sets because of their severe computational scaling as the number of spatial locations increases.

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Many large-scale connectivity initiatives have been proposed around the world with the aim of maintaining or restoring connectivity to offset the impacts on biodiversity of habitat loss and fragmentation. Frequently, these are based on the requirements of a single focal species of concern, but there is growing attention to identifying connectivity requirements for multi-species assemblages. A number of methods for modelling connectivity have been developed; likewise, different approaches have been used to construct resistance surfaces, the basic input data for connectivity analyses.

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