Publications by authors named "T E Bernstein"

Background: Continuing data on racial bias in pulse oximeters and artificial intelligence has sparked calls for health systems to drive innovation against racial bias in healthcare device and artificial intelligence markets by incorporating equity concerns explicitly into purchasing decisions.

Research Question: How do healthcare purchasing professionals integrate equity concerns into purchasing decision-making?

Study Design And Methods: Between 8/2023-3/2024, we conducted semi-structured interviews via videoconferencing with healthcare purchasing professionals about purchasing processes for pulse oximeters and other devices-and whether and where equity concerns arise in decision-making. An abductive approach was used to analyze perspectives on how equity and disparity concerns are currently integrated into healthcare purchasing decision-making.

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Article Synopsis
  • Graphite Furnace-Atomic Absorption Spectrometry (GF-AAS) is highly sensitive for trace element analysis but struggles with solid sample preparation, like soils and microplastics, due to time-consuming methods that increase measurement uncertainty and carbon footprints.
  • A novel autosampler extension has been developed to enhance GF-AAS by ensuring sample suspension stability and preventing evaporation and contamination, offering reliable results with impressive recovery rates in various materials.
  • This advancement streamlines trace element analysis in complex samples, making it an essential tool for environmental monitoring and regulatory compliance while improving accuracy and efficiency in high-throughput settings.
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Correction for 'Time-, space- and energy-resolved characterization of catalysts by X-ray absorption spectroscopy' by Stefan Peters , , 2023, , 12120-12123, https://doi.org/10.1039/D3CC03277A.

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A setup for dispersive X-ray absorption spectroscopy (XAS) with spatial, temporal and energy resolution is presented. Through investigation of a Mo/HZSM-5 catalyst during the dehydroaromatization of methane we observed a reduction gradient along the packed bed. Our new method represents an unprecedented addition to the analytical toolbox for characterizations.

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