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http://dx.doi.org/10.1007/s00417-024-06521-x | DOI Listing |
J Am Coll Cardiol
December 2024
UCL MRC Unit for Lifelong Health and Ageing, University College London, London, United Kingdom; UCL Institute of Cardiovascular Science, University College London, London, United Kingdom; Centre for Inherited Heart Muscle Conditions, Cardiology Department, Royal Free Hospital, London, United Kingdom. Electronic address:
Background: Aircraft noise is a growing concern for communities living near airports.
Objectives: This study aimed to explore the impact of aircraft noise on heart structure and function.
Methods: Nighttime aircraft noise levels (L) and weighted 24-hour day-evening-night aircraft noise levels (L) were provided by the UK Civil Aviation Authority for 2011.
Sensors (Basel)
December 2024
School of Biological and Environmental Sciences, Liverpool John Moores University, James Parsons Building, Byrom Street, Liverpool L3 3AF, UK.
Camera traps offer enormous new opportunities in ecological studies, but current automated image analysis methods often lack the contextual richness needed to support impactful conservation outcomes. Integrating vision-language models into these workflows could address this gap by providing enhanced contextual understanding and enabling advanced queries across temporal and spatial dimensions. Here, we present an integrated approach that combines deep learning-based vision and language models to improve ecological reporting using data from camera traps.
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December 2024
School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China.
Makeup modifies facial textures and colors, impacting the precision of face anti-spoofing systems. Many individuals opt for light makeup in their daily lives, which generally does not hinder face identity recognition. However, current research in face anti-spoofing often neglects the influence of light makeup on facial feature recognition, notably the absence of publicly accessible datasets featuring light makeup faces.
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December 2024
Dental Medicine Faculty, "Iuliu Hatieganu" University of Medicine and Pharmacy, Pasteur 4, 400349 Cluj-Napoca, Romania.
The use of Raman spectroscopy, particularly surface-enhanced Raman spectroscopy (SERS), offers a powerful tool for analyzing biochemical changes in biofluids. This study aims to assess the modifications occurring in saliva collected from patients before and after exposure to cone beam computed tomography (CBCT) and computed tomography (CT) imaging. SERS analysis revealed significantly amplified spectra in post-imaging samples compared to pre-imaging samples, with pronounced intensification of thiocyanate and opiorphin bands, which, together with proteins, dominated the spectra.
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December 2024
Institute of Communication Systems, Faculty of Electronics, Military University of Technology, 00-908 Warsaw, Poland.
Image reconnaissance systems are critical in modern applications, where the ability to accurately detect and identify objects is crucial. However, distortions in real-world operational conditions, such as motion blur, noise, and compression artifacts, often degrade image quality, affecting the performance of detection systems. This study analyzed the impact of super-resolution (SR) technology, in particular, the Real-ESRGAN model, on the performance of a detection model under disturbed conditions.
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