During the COVID-19 pandemic, masks were widely promoted and mandated as a key measure to help reduce the transmission of SARS-CoV-2. These policies were primarily informed by laboratory evidence demonstrating the effectiveness of particle filtration, alongside observational studies. While several meta-analyses have indicated that masks may contribute to reducing viral transmission, many of these analyses rely heavily on observational data. There also appears to be a trend where the inclusion of more randomized controlled trials in a meta-analysis is associated with a lower estimate of mask effectiveness. It is important to recognize that success in laboratory settings does not always directly translate to the same outcomes in clinical trials or real-world conditions. This phenomenon is often seen in drug development, where therapies with promising mechanistic evidence may not always perform as expected in trials. In this regard, masks share similarities with other interventions that, while theoretically sound, require further testing in varied contexts to fully assess their real-world impact.
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http://dx.doi.org/10.7759/cureus.75455 | DOI Listing |
PLoS One
January 2025
Department of Mathematics, Konkuk University, Seoul, Republic of Korea.
Mathematical and statistical methods are invaluable in epidemiological investigations, enhancing our understanding of disease transmission dynamics and informing effective control measures. In this study, we presented a method to estimate transmissibility using patient-level data, with application to the 2015 MERS outbreak at Pyeongtaek St. Mary's Hospital, the Republic of Korea.
View Article and Find Full Text PDFJ Imaging
January 2025
Department of Precision Instrument, Tsinghua University, Beijing 100084, China.
The increasing reliance on deep neural network-based object detection models in various applications has raised significant security concerns due to their vulnerability to adversarial attacks. In physical 3D environments, existing adversarial attacks that target object detection (3D-AE) face significant challenges. These attacks often require large and dispersed modifications to objects, making them easily noticeable and reducing their effectiveness in real-world scenarios.
View Article and Find Full Text PDFBehav Sci (Basel)
December 2024
Department of Psychology, College of Education, Zhejiang University of Technology, Hangzhou 310028, China.
Visual sensory memory constructs representations of the physical information of visual objects. However, few studies have investigated whether abstract information, such as semantic information, is also involved in these representations. This study utilized a masking technique combined with the partial report paradigm to examine whether visual sensory memory representation contains semantic information.
View Article and Find Full Text PDFEntropy (Basel)
January 2025
Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China.
Multimedia recommendation systems aim to accurately predict user preferences from multimodal data. However, existing methods may learn a recommendation model from spurious features, i.e.
View Article and Find Full Text PDFBioengineering (Basel)
January 2025
Institute of Electronic Information Engineering, Beihang University, 37 Xueyuan Road, Haidian District, Beijing 100191, China.
Due to the labor-intensive manual annotations for nuclei segmentation, point-supervised segmentation based on nuclei coordinate supervision has gained recognition in recent years. Despite great progress, two challenges hinder the performance of weakly supervised nuclei segmentation methods: (1) The stable and effective segmentation of adjacent cell nuclei remains an unresolved challenge. (2) Existing approaches rely solely on initial pseudo-labels generated from point annotations for training, and inaccurate labels may lead the model to assimilate a considerable amount of noise information, thereby diminishing performance.
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