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Bearing fault diagnosis based on wavelet adaptive threshold filtering and multi-channel fusion cross-attention neural network.
Rev Sci Instrum
November 2024
Henan International Joint Laboratory of Direct Drive and Control of Intelligent Equipment, School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo 454000, China.
In industrial applications, it is difficult to extract the fault feature directly when the rolling bearing works under strong background noise. In addition, single-channel vibration sensor data pose limitations in providing a comprehensive representation of bearing fault features; how to effectively fuse data of each channel and extract features is a challenge. To solve the above-mentioned problems, a fault diagnosis method based on wavelet adaptive threshold filtering and multi-channel fusion cross-attention neural network is proposed in this paper.
View Article and Find Full Text PDFOuter Membrane Vesicles Formed by Clinical Strains May Be Incorporated into the Outer Membrane of Other Cells and Demonstrate Lytic Properties.
Molecules
October 2024
Department of Biology of Bacteria, Faculty of Biology and Environmental Protection, University of Lodz, Banacha 12/16, 90-237 Lodz, Poland.
Outer membrane vesicles (OMVs) are extracellular structures, ranging in size from 10 to 300 nm, produced by Gram-negative bacteria. They can be incorporated into the outer membrane of a recipient's cells, which may enable the transfer of substances with lytic properties. Due to the scarce information regarding the OMVs produced by , the aim of this study was to test the blebbing abilities of the clinical O77 and O78 strains and to determine the blebs' interactions with bacterial cells, including their possible bactericidal activities.
View Article and Find Full Text PDFAccurate prediction of drug-target interactions in Chinese and western medicine by the CWI-DTI model.
Sci Rep
October 2024
Department of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, China.
Article Synopsis
- Accurate drug-target interaction (DTI) prediction is essential for drug discovery, yet it's challenging for Chinese medicine due to ingredient variability.
- The study introduces the CWI-DTI method, which leverages a comprehensive dataset and innovative techniques to enhance DTI prediction accuracy for both Chinese and Western medicines.
- Results show that CWI-DTI outperforms existing methods, offering significant potential to improve drug discovery and repurposing processes.
A model for rapid PM exposure estimates in wildfire conditions using routinely available data: rapidfire v0.1.3.
Geosci Model Dev
January 2024
Department of Public Health Sciences, MIND Institute, University of California Davis School of Medicine, Davis, CA, United States.
Urban smoke exposure events from large wildfires have become increasingly common in California and throughout the western United States. The ability to study the impacts of high smoke aerosol exposures from these events on the public is limited by the availability of high-quality, spatially resolved estimates of aerosol concentrations. Methods for assigning aerosol exposure often employ multiple data sets that are time-consuming to create and difficult to reproduce.
View Article and Find Full Text PDFFungal Planet description sheets: 1614-1696.
Fungal Syst Evol
June 2024
Westerdijk Fungal Biodiversity Institute, P.O. Box 85167, 3508 AD Utrecht, The Netherlands.
Novel species of fungi described in this study include those from various countries as follows: , in leaves of , among deep leaf litter, from uredinium of on , on well-rotted twigs and litter in mixed wet sclerophyll and subtropical rainforest. , on twigs of , on bark, in savannas with shrubs and trees. , on leaves of , (incl.
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