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The contamination characteristics, migration patterns and health risks of per- and polyfluoroalkyl substances (PFAS) were investigated in 66 Chinese paper products by using target and non-target screening methods. Among 57 target PFASs, 5 and 6 PFASs were found in the hygiene paper products (
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http://dx.doi.org/10.1016/j.envint.2024.108540 DOI Listing Publication Analysis
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Biochim Biophys Acta Biomembr
September 2025
Instituto de Física, Universidade Federal de Goiás, Goiânia, GO, Brazil. Electronic address:
Three antileishmanial compounds incorporating a butylated hydroxytoluene (BHT) moiety and an acrylate-based Michael acceptor scaffold were rationally designed from the lead structures LQFM064 and LQFM332, which feature a chalcone-derived core. Their activities against Leishmania (L.) amazonensis were evaluated.
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September 2025
Universidad de A Coruña. Facultad de Derecho, Campus de Elviña, s/n, 15071, A Coruña. 981 167000 ext. 1640
The implications of the use of artificial intelligence (AI) in many areas of human existence compels us to reflect on its ethical relevance. This paper addresses the signification of its use in healthcare for patient informed consent. To this end, it first proposes an understanding of AI, as well as the basis for informed consent.
View Article and Find Full Text PDFPLoS One
September 2025
Department of Economics, Cornell University, Ithaca, United States of America.
In this paper, we study the impact of momentum, volume and investor sentiment on U.S. tech sector stock returns using Principal Component Analysis-Hidden Markov Model (PCA-HMM) methodology.
View Article and Find Full Text PDFPLoS One
September 2025
College of Business Administration, Northern Border University (NBU), Arar, Kingdom of Saudi Arabia.
The increasing dependence on cloud computing as a cornerstone of modern technological infrastructures has introduced significant challenges in resource management. Traditional load-balancing techniques often prove inadequate in addressing cloud environments' dynamic and complex nature, resulting in suboptimal resource utilization and heightened operational costs. This paper presents a novel smart load-balancing strategy incorporating advanced techniques to mitigate these limitations.
View Article and Find Full Text PDFPLoS One
September 2025
School of Mechanical Engineering, Northwestern Polytechnical University, Xi'an, China.
Accurate prediction of time-varying dynamic parameters during the milling process is a prerequisite for chatter-free cutting of thin-walled parts. In this paper, a matrix iterative prediction method based on weighted parameters is proposed for the time-varying structural modes during the milling of thin-walled blade structures. The thin-walled blade finite element model is established based on the 4-node plate element, and the time-varying dynamic parameters of the workpiece during the cutting process can be obtained by modifying the thickness of the nodes through the constructed mesh element finite element model It is not necessary to re-divide the mesh elements of the thin-walled parts at each cutting position, thus improving the calculation efficiency of the dynamic parameters of the workpiece.
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