Publications by authors named "C Lemieux"

Article Synopsis
  • - The study identifies a new diatom species from the highly alkaline Lake Van in Turkey, characterized through light and scanning electron microscopy on both wild and cultivated samples.
  • - Genome analysis revealed that the two monoclonal cultures have very similar DNA sequences with only a few mutations, particularly in the mitochondrial and plastid genomes, indicating some differences in protein coding genes.
  • - Phylogenetic analysis placed the new diatom species within the K clade, known for its diversity of species from hypersaline to freshwater environments.
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Article Synopsis
  • Gastrointestinal stromal tumors (GISTs) are tumors that come from specific cells in the gut and are primarily caused by certain genetic mutations; surgical removal is the best option for localized cases, while targeted drug therapies are the standard for management.
  • Recent advances in understanding GISTs have led to updates in treatment strategies, but disparities in care exist across Canada due to its provincial healthcare system, highlighting the need for standardized guidelines.
  • A panel of 20 experienced Canadian physicians from various specialties reviewed literature on GISTs to create a consensus on management practices, covering key topics like molecular profiling and multidisciplinary care to improve consistency in treatment across the country.
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Discrepancy is a well-known measure for the irregularity of the distribution of a point set. Point sets with small discrepancy are called low discrepancy and are known to efficiently fill the space in a uniform manner. Low-discrepancy points play a central role in many problems in science and engineering, including numerical integration, computer vision, machine perception, computer graphics, machine learning, and simulation.

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An accurate understanding of uncertainty is needed to properly interpret methane emission estimates from upstream oil and gas sources in a variety of contexts, from component-level measurements to yearly jurisdiction-wide inventories. To characterize measurement uncertainty, we examine controlled release (CR) data from five different technology providers including quantitative gas imaging (QOGI), tunable diode laser-absorption spectroscopy (TDLAS); and airborne near-infrared hyperspectral (NIR HS) imaging. We introduce a novel empirical method to develop probability distributions of measurements given a true emission rate using the CR data.

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Background: The clinical benefit of systemic anticancer therapies can be unclear despite positive trials, and outcomes may not translate to real-world practice. This study evaluated the benefit of soft tissue sarcoma (STS) treatments using the European Society of Medical Oncology Magnitude of Clinical Benefit Scale (MCBS) v1.1 and measured the robustness of STS trial results using Fragility Index (FI).

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