Publications by authors named "Ning Ai"

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Soil evolution and driving factors in Pinus tabuliformis forests of the Loess Hilly Region.
Junzhe Li, Fangfang Qiang, Ning Ai, Changhai Liu

J Environ Manage· December 2025

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Evaluation of soil quality and analysis of drivers of different vegetation patterns in the loess region of Northern Shaanxi.
Youfu Wang, Fangfang Qiang, Guangquan Liu, Changhai Liu, Jie Gao, Ning Ai

Sci Rep· August 2025

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Spatial Distribution Characteristics and Driving Factors of Formicidae in Small Watersheds of Loess Hilly Regions.
Yu Tian, Fangfang Qiang, Guangquan Liu, Changhai Liu, Ning Ai

Insects· June 2025

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Floristic Analysis of Vascular Plants in the Ziwuling Mountains, Shaanxi Province.
Shuyue Ma, Fangfang Qiang, Guangquan Liu, Changhai Liu, Chongyan Bai, Ning Ai

Plants (Basel)· March 2025

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Multi-View Multiattention Graph Learning With Stack Deep Matrix Factorization for circRNA-Drug Sensitivity Association Identification.
Ning Ai, Haoliang Yuan, Yong Liang, Shanghui Lu, Dong Ouyang, Qi Hong Lai, Loi Lei Lai

IEEE J Biomed Health Inform· December 2024

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Genetically predicted blood metabolites mediate the association between circulating immune cells and severe COVID-19: A Mendelian randomization study.
Ning Ai, Yan Zhang, Jing Yang, Yu Zhang, Xuejing Zhao

Medicine (Baltimore)· November 2024

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SPLHRNMTF: robust orthogonal non-negative matrix tri-factorization with self-paced learning and dual hypergraph regularization for predicting miRNA-disease associations.
Dong Ouyang, Rui Miao, Juan Zeng, Xing Li, Ning Ai

BMC Genomics· September 2024

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Enhancing Wastewater Treatment with Aerobic Granular Sludge: Impacts of Tetracycline Pressure on Microbial Dynamics and Structural Stability.
Shengyan Zheng, Bichen Lou, Zhonghui Yang, Dong Ou, Ning Ai

Microorganisms· September 2024

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Characteristics, Performance and Microbial Response of Aerobic Granular Sludge for Treating Tetracycline Hypersaline Pharmaceutical Wastewater.
Bichen Lou, Zhonghui Yang, Shengyan Zheng, Dong Ou, Wanpeng Hu, Ning Ai

Microorganisms· June 2024

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Highly luminescent and stable CsPbBr perovskite nanocrystals coated with polyethersulfone for white light-emitting diode applications.
Hao Zhang, Xuemei Wang, Ning Ai, Jianli Wang

Luminescence· April 2024

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HGCLAMIR: Hypergraph contrastive learning with attention mechanism and integrated multi-view representation for predicting miRNA-disease associations.
Dong Ouyang, Yong Liang, Jinfeng Wang, Le Li, Ning Ai

PLoS Comput Biol· April 2024

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Turn Waste Golden Tide into Treasure: Bio-Adsorbent Synthesis for CO Capture with KFeO as Catalytic Oxidative Activator.
Huijuan Ying, Chenglin Jia, Ganning Zeng, Ning Ai

Molecules· March 2024

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Mechanistic Study on the Possibility of Converting Dissociated Oxygen into Formic Acid on χ-FeC(510) for Resource Recovery in Fischer-Tropsch Synthesis.
Ning Ai, Changyi Lai, Wanpeng Hu, Qining Wang, Jie Ren

Molecules· December 2023

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Integration of multi-omics data using adaptive graph learning and attention mechanism for patient classification and biomarker identification.
Dong Ouyang, Yong Liang, Le Li, Ning Ai, Shanghui Lu

Comput Biol Med· September 2023

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Enhanced Assembling of N-and-K-Riched Macroalgae as Carbon Adsorbent for CO Capture with Ni(NO)/KOH as Co-Catalysts.
Huijuan Ying, Ganning Zeng, Yaohong He, Yanjun Hou, Ning Ai

Molecules· August 2023

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GDCL-NcDA: identifying non-coding RNA-disease associations via contrastive learning between deep graph learning and deep matrix factorization.
Ning Ai, Yong Liang, Haoliang Yuan, Dong Ouyang, Shengli Xie

BMC Genomics· July 2023

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Distribution characteristics of soil microbial communities and their responses to environmental factors in the sea buckthorn forest in the water-wind erosion crisscross region.
Zhi-Yong Zhang, Fang-Fang Qiang, Guang-Quan Liu, Chang-Hai Liu, Ning Ai

Front Microbiol· January 2023

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Metagenomics unraveled the characteristics and microbial response to hypersaline stress in salt-tolerant aerobic granular sludge.
Dong Ou, Ning Ai, Changwei Hu, Yongdi Liu

J Environ Manage· November 2022

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Predicting multiple types of miRNA-disease associations using adaptive weighted nonnegative tensor factorization with self-paced learning and hypergraph regularization.
Dong Ouyang, Yong Liang, Jianjun Wang, Xiaoying Liu, Shengli Xie, Ning Ai

Brief Bioinform· November 2022

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MHDMF: Prediction of miRNA-disease associations based on Deep Matrix Factorization with Multi-source Graph Convolutional Network.
Ning Ai, Yong Liang, Hao-Laing Yuan, Dong Ou-Yang, Xiao-Ying Liu

Comput Biol Med· October 2022

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Fasudil inhibits hepatic artery spasm by repressing the YAP/ERK/ ET/ET signaling pathway via inhibiting ROCK activation.
Xiaoguang Hao, Bo Shi, Weijing Li, Yongchao Wu, Ning Ai

Aging (Albany NY)· September 2022

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Circular RNA circWWC3 augments breast cancer progression through promoting M2 macrophage polarization and tumor immune escape via regulating the expression and secretion of IL-4.
Yang Zheng, Shuguang Ren, Yu Zhang, Sihua Liu, Lingjiao Meng, Ning Ai

Cancer Cell Int· August 2022

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Corrigendum: Predicting multiple types of associations between miRNAs and diseases based on graph regularized weighted tensor decomposition.
Dong Ouyang, Rui Miao, Jianjun Wang, Xiaoying Liu, Shengli Xie, Ning Ai

Front Bioeng Biotechnol· August 2022

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Predicting Multiple Types of Associations Between miRNAs and Diseases Based on Graph Regularized Weighted Tensor Decomposition.
Dong Ouyang, Rui Miao, Jianjun Wang, Xiaoying Liu, Shengli Xie, Ning Ai

Front Bioeng Biotechnol· July 2022

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Insight into the Fischer-Tropsch mechanism on hcp-FeC (211) by density functional theory: the roles of surface carbon and vacancies.
Jie Ren, Ning Ai, Yingzhe Yu

RSC Adv· October 2021

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