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Understanding the local-level variations in seasonality of human respiratory syncytial virus infection: a systematic analysis.
BMC Med
January 2025
Department of Epidemiology, National Vaccine Innovation Platform, School of Public Health, Nanjing Medical University, Nanjing, China.
Background: While previous reports characterised global and regional variations in RSV seasonality, less is known about local variations in RSV seasonal characteristics. This study aimed to understand the local-level variations in RSV seasonality and to explore the role of geographical, meteorological, and socio-demographic factors in explaining these variations.
Methods: We conducted a systematic literature review to identify published studies reporting data on local-level RSV season onset, offset, or duration for at least two local sites.
Enhancing furcation involvement classification on panoramic radiographs with vision transformers.
BMC Oral Health
January 2025
Department of Periodontics, Affiliated Hospital of Medical School, Nanjing Stomatological Hospital, Research Institute of Stomatology, Nanjing University, Nanjing, China.
Background: The severity of furcation involvement (FI) directly affected tooth prognosis and influenced treatment approaches. However, assessing, diagnosing, and treating molars with FI was complicated by anatomical and morphological variations. Cone-beam computed tomography (CBCT) enhanced diagnostic accuracy for detecting FI and measuring furcation defects.
View Article and Find Full Text PDFGlobal regional and national burden of intracerebral hemorrhage between 1990 and 2021.
Sci Rep
January 2025
Department of Vascular Surgery, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China.
Intracerebral hemorrhage (ICH) represents one of the most devastating forms of stroke, characterized by spontaneous bleeding into the brain parenchyma. This neurological emergency carries a substantial burden of mortality and long-term disability worldwide. A comprehensive understanding of ICH's evolving global impact from 1990 to 2021 remains essential for healthcare planning and resource allocation.
View Article and Find Full Text PDFEnhanced hybrid attention deep learning for avocado ripeness classification on resource constrained devices.
Sci Rep
January 2025
Faculty of Science and Technology, Suan Sunandha Rajabhat University, Bangkok, 10300, Thailand.
Attention mechanisms such as the Convolutional Block Attention Module (CBAM) can help emphasize and refine the most relevant feature maps such as color, texture, spots, and wrinkle variations for the avocado ripeness classification. However, the CBAM lacks global context awareness, which may prevent it from capturing long-range dependencies or global patterns such as relationships between distant regions in the image. Further, more complex neural networks can improve model performance but at the cost of increasing the number of layers and train parameters, which may not be suitable for resource constrained devices.
View Article and Find Full Text PDFPreoperative Evaluation of Oswestry Disability Index in Lumbar Spinal Stenosis: New Evidence of Time Independence of Variation Up to 1 Year.
Int J Spine Surg
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Natural Resources Institute Finland, Natural Resources, Joensuu, Finland.
Background: The Oswestry Disability Index (ODI) is a well-validated and widely used patient-reported outcome instrument to evaluate lumbar spinal stenosis (LSS) patients' treatment outcomes. The objective of the present study was to determine long the average interval between 2 preoperative measurements can be before a clinically significant difference of 10 points or more might appear.
Methods: This was a retrospective observational study utilizing prospectively collected data from a single university hospital database, which was compatible with the national registry.
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