Shipboard domestic sewage, encompassing both black water and gray water, has the potential to transport significant quantities of environmentally harmful microplastics, a concern that has garnered increasing global attention. In this study, Fourier infrared (FTIR) detection was used to detect microplastics in marine domestic wastewater. The primary objective was to evaluate the abundance and characteristics of microplastics present in ship domestic sewage, investigate potential sources and influencing factors, and assess the ecological risks associated with ship sewage through analyses of microplastic abundance and hazard indices.
View Article and Find Full Text PDFAs a replacement of bisphenol A, bisphenol S (BPS) is commonly used in the wrappers and food containers of daily life. Epidemiological studies demonstrate a close link between BPS exposure and vascular diseases, where the biological activities of BPS remain scarcely known. Herein, the effects of BPS on endothelial function as well as the underlying mechanism were investigated in human umbilical vein endothelial cells (HUVECs) and mouse arteries.
View Article and Find Full Text PDFStructural damage identification based on structural health monitoring (SHM) data and machine learning (ML) is currently a rapidly developing research area in structural engineering. Traditional machine learning techniques rely heavily on feature extraction, where weak feature extraction can lead to suboptimal features and poor classification performance. In contrast, ML-based methods, particularly deep learning approaches like convolutional neural networks (CNNs), automatically extract relevant features from raw data, improving the accuracy and adaptability of the damage identification process.
View Article and Find Full Text PDFBackground: Macrophages play a crucial role in chronic gastritis induced by the pathogenic Helicobacter pylori (H. pylori) infection. NLRP3 inflammasome has emerged as an important component of inflammatory processes.
View Article and Find Full Text PDFLitter decomposition is essential in linking aboveground and belowground carbon, nutrient cycles, and energy flows within ecosystems. This process has been profoundly impacted by global change, particularly in drylands, which are highly susceptible to both anthropogenic and natural disturbances. However, a significant knowledge gap remains concerning the extent and drivers of litter decomposition across different dryland ecosystems, limiting our understanding of its role in ecosystem metabolism.
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