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Resonant Conversion of Wave Dark Matter in the Ionosphere.
Phys Rev Lett
December 2024
Departement de Physique Theorique, Universite de Geneve, 24 quai Ernest Ansermet, 1211 Geneve 4, Switzerland.
We consider resonant wavelike dark matter conversion into low-frequency radio waves in the Earth's ionosphere. Resonant conversion occurs when the dark matter mass and the plasma frequency coincide, defining a range m_{DM}∼10^{-9}-10^{-8} eV where this approach is best suited. Owing to the nonrelativistic nature of dark matter and the typical variational scale of the Earth's ionosphere, the standard linearized approach to computing dark matter conversion is not suitable.
View Article and Find Full Text PDFQuality of Sexual Life Before and After Pelvic Organ Prolapse Surgery.
Urogynecology (Phila)
October 2024
Aava Medical Center, Hämeenlinna, Finland.
Importance: Although surgery for pelvic organ prolapse (POP) is generally associated with an improvement in sexual function, knowledge on specific changes is limited.
Objectives: The aim of this study was to describe and compare changes in sexual activity and function during a 5-year follow-up period after POP surgery.
Study Design: This was a nationwide cohort study of 3,515 women operated on for POP in 2015 in Finland.
Employing foreign caregivers: A qualitative study of the perspectives of older stroke survivors.
PLoS One
January 2025
Graduate Institute of Injury Prevention and Control, College of Public Health, Taipei Medical University, Taipei, Taiwan.
Background: Global populations are aging, and the numbers of stroke survivors is increasing. Consequently, the need for caregiver support has increased. Because of this and demographic and socioeconomic changes, foreign caregivers are increasingly in demand in many developed countries.
View Article and Find Full Text PDFOptimizing Kernel Extreme Learning Machine based on a Enhanced Adaptive Whale Optimization Algorithm for classification task.
PLoS One
January 2025
Vocational Training Center, FoShan Open University, FoShan, Guangdong Province, China.
Data classification is an important research direction in machine learning. In order to effectively handle extensive datasets, researchers have introduced diverse classification algorithms. Notably, Kernel Extreme Learning Machine (KELM), as a fast and effective classification method, has received widespread attention.
View Article and Find Full Text PDFRisk assessment and prevention in airport security assurance by integrating LSTM algorithm.
PLoS One
January 2025
Logistics service company, Civil Aviation Flight University of China, Guanghan, Sichuan, China.
The risk assessment and prevention in traditional airport safety assurance usually rely on human experience for analysis, and there are problems such as heavy manual workload, excessive subjectivity, and significant limitations. This article proposed a risk assessment and prevention mechanism for airport security assurance that integrated LSTM algorithm. It analyzed the causes of malfunctioning flights by collecting airport flight safety log datasets.
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