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http://dx.doi.org/10.1021/acs.nanolett.4c04350 | DOI Listing |
J Cardiovasc Dev Dis
December 2024
Cardiology Department, Mother and Child Health Institute of Serbia, 11070 Belgrade, Serbia.
Background: The vertical vein (VV) ligation during the total anomalous pulmonary venous return (TAPVR) correction is still controversial. Our study aimed to define the potential risk factors for VV persistence and their percutaneous occlusion.
Methods: The retrospective cohort study included 40 patients (26 males) with TAPVR treated at the tertiary referral center from 2005 to 2024.
Nat Commun
December 2024
Department of Physics, Washington University in St. Louis, St. Louis, MO, 63130, USA.
Turner syndrome is a rare chromosomal abnormality in women that is caused by a partial or complete loss of one X chromosome and is often associated with a spectrum of congenital cardiac abnormalities, including cardiac shunts. A 27-year-old woman with Turner syndrome was also found to have right ventricular dilation, partial anomalous pulmonary venous return, and possible atrial septal defect. She was scheduled for elective surgical repair.
View Article and Find Full Text PDFPediatr Cardiol
December 2024
Pediatric Cardiac Surgery Unit, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy.
The present study is the first meta-analysis comparing long-term outcomes in patients undergoing correction for anomalous left coronary artery (ALCAPA) regarding concomitant mitral valve surgery. A systematic literature review was conducted to identify all relevant studies with comparative data on mitral valve surgery performed during surgery for ALCAPA correction. Predefined primary end points included mortality and mitral valve (re)operation.
View Article and Find Full Text PDFPeerJ Comput Sci
October 2024
College of Information and Intelligent Mechatronics, Xiamen Huaxia University, Xiamen, China.
The rapid advancement of Internet of Things (IoT) technologies brings forth new security challenges, particularly in anomaly behavior detection in traffic flow. To address these challenges, this study introduces RT-Cabi (Real-Time Cyber-Intelligence Behavioral Anomaly Identifier), an innovative framework for IoT traffic anomaly detection that leverages edge computing to enhance the data processing and analysis capabilities, thereby improving the accuracy and efficiency of anomaly detection. RT-Cabi incorporates an adaptive edge collaboration mechanism, dynamic feature fusion and selection techniques, and optimized lightweight convolutional neural network (CNN) frameworks to address the limitations of traditional models in resource-constrained edge devices.
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