Preoperative Prediction and Risk Factor Identification of Hospital Length of Stay for Total Joint Arthroplasty Patients Using Machine Learning

Background: The aim of this study was to improve understanding of hospital length of stay (LOS) in patients undergoing total joint arthroplasty (TJA) in a high-efficiency, hospital-based pathway.Methods: We retrospectively reviewed 1401 consecutive primary and revision POWER GEL TJA patients across 67 patient and preoperative care characteristics f

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Near-Edge Computing Aware Object Detection: A Review

Object detection is a widely applied approach in addressing many real-world computer vision challenges.Despite its importance, object detection is computationally intensive and time-consuming, even with advanced CPU-GPU combinations.With the rise of edge computing and smaller AI accelerators, there is an increasing need to deploy efficient object d

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Characterization, reactivity and rheological behaviour of metakaolin and Meta-halloysite based geopolymer binders

The type of aluminosilicate precursor used in the synthesis of geopolymer binders plays a huge role in the resulting performance.Thus, it is critical to understand the properties of precursors and how they influence the corresponding performance of geopolymer binders.In this study, metakaolin and meta halloysite are used as the aluminosilicate prec

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