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Cracking in hydraulic buried engineering can cause localized damage or complete structural failure, potentially resulting in catastrophic project outcomes. Traditional methods for detecting cracks in hydraulic concrete buried engineering are often insufficient in terms of reliability and accuracy. With the development and application of particle-based technology, it has been widely used in the field of crack detection. This research investigates the support pier of the Yingxiuwan Hydropower Plant and the lock pier of the Yuzixi Hydropower Plant. Employing principles from quantum physics, quantum particle non-destructive detection technology is introduced to identify crack locations. A three-dimensional simulation model is constructed and verified accurately through integration with CT scanning techniques. The results demonstrate that particle detection technology effectively detects cracks in hydraulic concrete buried engineering, exhibiting minimal susceptibility to external interference. The particle detection data enable 3D visualization of cracks, accurately reflecting the conditions within embedded concrete components. This method provides a reliable and advanced technical solution for precise crack detection in concrete-embedded engineering and offers critical data for exploring crack propagation mechanisms.
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http://dx.doi.org/10.3390/s25030683 | DOI Listing |
Antimicrob Steward Healthc Epidemiol
September 2025
Center for Access and Delivery Research and Evaluation (CADRE), Iowa City VA Healthcare System, Iowa City, IA, USA.
Background: Ultraviolet-C (UV-C) radiation has emerged as a widely adopted disinfection technology in healthcare settings due to its germicidal effectiveness. However, concerns have grown regarding the potential degradation of materials, particularly polymeric surfaces, subjected to repeated UV-C exposure. Understanding the extent, mechanism, and contributing factors of UV-C-induced material degradation is essential for safe and sustainable implementation.
View Article and Find Full Text PDFPoult Sci
September 2025
College of Mechanical and Electrical Engineering, China Jiliang University, Hangzhou, Zhejiang 310020, China.
During the vaccine production through the chick embryo cultivation method, harmful cracks may occur from the perforation of a trocar on the eggshell, around the impact hole, leading to the failure of cultivation. To detect the perforative cracks, this study proposes a method based on acoustic responses. By stimulating the embryo eggs and collecting the acoustic signals, 7 characteristic values were extracted from the time and the frequency domains: The maximum value in the time domain; The difference in the time domain; The frequency-domain peaks, 870 Hz, 1250 Hz, 1470 Hz and 1770 Hz; The mean value of the waveform.
View Article and Find Full Text PDFPlant Dis
September 2025
hainan universityhaikou, China, 570228;
Jackfruit (Artocarpus heterophyllus Lam.), a crucial economic crop in tropical regions, has recently been devastated by a novel gummosis disease in Hainan and Yunnan Provinces of China. This gummosis primarily affects the stems and branches of jackfruit, causing gum exudation, bark cracking, and plant death, which severely threatens the sustainable development of the industry.
View Article and Find Full Text PDFPLoS One
September 2025
School of Civil Engineering and Transportation, Northeast Forestry University, Harbin, Heilongjiang, China.
The improved YOLOv8n algorithm is proposed for the existing target detection algorithms to solve the issues of insufficient detection accuracy and leakage due to the target scale variability and complex background interference during road surface crack detection. This algorithm introduces the convolutional block attention module (CBAM) attention mechanism and integrates it with the cross-stage partial-feature fusion (C2f) module in the backbone network. The spatial pyramid pooling faster cross-stage partial channel (SPPFCSPC) module is introduced by integrating the spatial pyramid pooling (SPP) module with the Fully Cross-Stage Partial Convolution (FCSPC) module, which efficiently extracts multi-scale features.
View Article and Find Full Text PDFSci Rep
August 2025
Office of Cannabis Science and Surveillance, Controlled Substances and Cannabis Branch, Health Canada, 150 Tunney's Pasture Driveway, Ottawa, ON, K1A 0K9, Canada.
Vaping cannabis liquids is a convenient method of cannabis consumption, and is considered to be a less harmful alternative to smoking cannabis. However, vaping cannabis carries its own health risks, with many uncertainties, especially concerning the presence of metal particles in vape liquids. The heterogeneous distribution of these particles within the liquid matrix poses analytical challenges in measurement reproducibility.
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