Qian Su

Metagenomic Characterization of Antibiotic Resistance Genes, Mobile Genetic Elements and Virulence Factors in the Surface Water of the Baotou Section of the Yellow River

Liu Cx, Qiuying Yu, Qin Li, Yuqiao Jia et autres

Antibiotic resistance genes (ARGs) have been widely recognized as emerging environmental contaminants due to their potential threats to public health and ecosystems. Owing to the extensive use of antibiotics in clinical, agricultural, and aquaculture settings, large quantities of ARGs are continuously introduced …

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Impact of injection-withdrawal thermal effects on the operating pressure and optimization of salt cavern gas storage

Jiasong Chen, Xuefeng Bai, Lilin Fan, Qian Su et autres

• Thermo-mechanical model predicts cavern stress and 12.75°C thermal change • Sonar data confirm 5.1 % cavern volume shrinkage over seven years • Coupled thermal–creep analysis ensures long-term cavern stability • Lowering minimum pressure to 9 MPa improves safety and economics • …

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Slope deformation monitoring and prediction based on InSAR and deep learning model

Wubin Wang, Yuan Luo, Shun Zhang, Linrong Xu et autres

Slope instability hazards pose significant risks to transportation lines and infrastructure safety. Slope deformation monitoring results provide insights into hazard development. To retrospectively monitor slope deformation and predict its deformation trends, we propose a slope deformation monitoring and prediction method based on …

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A robust, fluorine-free and economical superhydrophobic coating based on rosin, shellac, and calcium carbonate nanoparticles

Rui Xiu He, Kangli Yang, Shoutong Meng, Cancheng Li et autres

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From waste to value: Engineering properties and failure mechanisms of green backfills utilizing molybdenum tailings, fly ash and coal gangue

Jun Li, Xianzhang Liu, Chang Chun Cai, Qian Su et autres

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High embankment slope stability prediction using data augmentation and explainable ensemble learning

Zongyu Zhang, Junjie Huang, Qian Su, Shijie Liu et autres

The stability of embankment slopes for heavy-haul railway foundations is essential for safe railway operations. Railway embankment slope stability datasets often rely on engineering judgment for analysis. The labor- and resource-intensive processes of data preparation result in small dataset sizes. Machine learning …

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Distinct effects of early-stage and late-stage socioeconomic factors on brain and behavioral traits

Qiang Xu, Su Lui, Yuan Ji, Jingliang Cheng et autres

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Upcycling of molybdenum tailings, coal gangue and slag into sustainable repaired composites by geopolymerization technology: Workability, embodied carbon and mechanical-microstructural development

Jun Li, Shuang Cao, Qian Su, Hesong Jin et autres

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Early hydration and mechanical performance of composited cementitious system prepared from high temperature calcined molybdenum tailings

Jun Li, Zhenwei Yang, Qian Su, Chang Chun Cai et autres

To improve the recycling of solid waste and achieve the secondary utilization of waste resources, this study investigates the preparation of molybdenum tailings composited binders by high temperature calcination using molybdenum tailings, limestone, bauxite, and iron concentrate powder. Besides, to explore the …

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Preparation of superhydrophobic coatings on kraft paper for the protection of important documents

Cancheng Li, Shujuan Liu, Kangli Yang, Zhiqing Yuan et autres

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Nanocrystalline AZ91 alloy: Preparation, exceptional thermal stability and enhanced hardness

Jixue Zhou, Yejin Han, Huan Yu, Peng Zhang et autres

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Stability analysis of loose accumulation slopes under rainfall: case study of a high-speed railway in Southwest China

Xin Wang, Qian Su, Zongyu Zhang, Feihu Huang et autres

Abstract The high and steep slopes along a high-speed railway in the mountainous area of Southwest China are mostly composed of loose accumulations of debris with large internal pores and poor stability, which can easily induce adverse geological disasters under rainfall conditions. …

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