Objective: Existing literature shows associations between patient demographics and reported experiences of care, but this relationship is poorly understood. Our objective was to use natural language processing of patient comments to gain insight into associations between patient demographics and experiences of care.
Methods: This is a cross-sectional study of 14,848 unique emergency department (ED) patient visits from 1/1/2020 to 12/31/2020.
IEEE Trans Pattern Anal Mach Intell
July 2024
We introduce Ego4D, a massive-scale egocentric video dataset and benchmark suite. It offers 3,670 hours of daily-life activity video spanning hundreds of scenarios (household, outdoor, workplace, leisure, etc.) captured by 931 unique camera wearers from 74 worldwide locations and 9 different countries.
View Article and Find Full Text PDFThis dataset encompasses high-resolution computed tomography scans of small samples of the lower Mount Simon Sandstone from the subsurface of the Illinois Basin. Samples were collected as part of various geological carbon storage characterization efforts and publications focusing on the Mount Simon as a storage reservoir, with scanning performed at the National Energy Technology Laboratory. Thirty-seven three-dimensional (3D) volumes at various resolutions are described and presented as a resource that illustrates the pore and grain size distributions, as well as other petrographic characteristics.
View Article and Find Full Text PDFA 62-year-old woman with a history of moderate myopia, long-standing open-angle glaucoma (OAG), and Fuchs dystrophy in both eyes was referred for consultative care. She had prior trabeculectomy in 1984 and 1992 in the left and right eyes, respectively. She is 3 months post-Descemet-stripping endothelial keratoplasty (DSEK) in the left eye, now referred with uncontrolled intraocular pressure (IOP) despite maximum tolerated medical therapy.
View Article and Find Full Text PDFWhat determines the price of an artwork? This article leverages a comprehensive and novel dataset on art auctions of contemporary artists to examine the impact of social and visual features on the valuation of artworks across global markets. Our findings indicate that social signals allow us to predict the price of artwork exceptionally well, even approaching the professionals' prediction accuracy, while the visual features play a marginal role. This pattern is especially pronounced in emerging markets, supporting the idea that social signals become more critical when it is more difficult to assess the quality.
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