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Are we underestimating pathological fracture risk in malignant bone lesions of the proximal humerus?
Skeletal Radiol
January 2025
Department of Trauma, Hand and Reconstructive Surgery, University Hospital Jena, Am Klinikum 1, 07747, Jena, Germany.
Objective: This study is aimed at evaluating the distribution of metastatic bone disease (MBD), with a particular focus on the humerus, and its association with pathological fractures. Factors for contributing to the underestimation of fracture risk were assessed, including their impact on surgical management.
Materials And Methods: We retrospectively reviewed patient records of patients undergoing surgical treatment for MBD at our institution between 2005 and 2023.
YOLOSeg with applications to wafer die particle defect segmentation.
Sci Rep
January 2025
Department of Industrial Engineering and Management, Ming Chi University of Technology, New Taipei City, 243, Taiwan.
This study develops the you only look once segmentation (YOLOSeg), an end-to-end instance segmentation model, with applications to segment small particle defects embedded on a wafer die. YOLOSeg uses YOLOv5s as the basis and extends a UNet-like structure to form the segmentation head. YOLOSeg can predict not only bounding boxes of particle defects but also the corresponding bounding polygons.
View Article and Find Full Text PDFRationale: Patients who experience seizures, including PNES, are usually advised to discontinue driving, or have their driving privileges revoked until a determined period of seizure-freedom is achieved. In this retrospective study, patients with PNES who requested driving privileges or reported having resumed driving were compared to those who did not on measures of depression, anxiety, PTSD, and cognitive flexibility/motor speed.
Methods: DiagnosisofPNESwasconfirmedwithvideo-EEG.
Used economy market insight: Sailboat industry pricing mechanism and regional effects.
PLoS One
January 2025
School of Statistics and Mathematics, Yunnan University of Finance and Economics, Kunming, Yunnan, China.
With the popularity of circular economy around the world, transactions in the second-hand sailboat market are extremely active. Determining pricing strategies and exploring their regional effects is a blank area of existing research and has important practical and statistical significance. Therefore, this article uses the random forest model and XGBoost algorithm to identify core price indicators, and uses an innovative rolling NAR dynamic neural network model to simulate and predict second-hand sailboat price data.
View Article and Find Full Text PDFIn the current cybersecurity landscape, Distributed Denial of Service (DDoS) attacks have become a prevalent form of cybercrime. These attacks are relatively easy to execute but can cause significant disruption and damage to targeted systems and networks. Generally, attackers perform it to make reprisal but sometimes this issue can be authentic also.
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