Search Results - "Li, Xiao"

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  1. 1

    The effectiveness of internal control and innovation performance: An intermediary effect based on corporate social responsibility by Li, Xiao

    Published in PloS one (11-06-2020)
    “…From the perspective of the effectiveness of internal control, this study analyzes the influence of internal control on innovation performance and internal…”
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    Journal Article
  2. 2

    Molecular Subtyping of Triple‐Negative Breast Cancers by Immunohistochemistry: Molecular Basis and Clinical Relevance by Zhao, Shen, Ma, Ding, Xiao, Yi, Li, Xiao‐Mei, Ma, Jian‐Li, Zhang, Han, Xu, XiaoLi, Lv, Hong, Jiang, Wen‐Hua, Yang, Wen‐Tao, Jiang, Yi‐Zhou, Zhang, Qing‐Yuan, Shao, Zhi‐Ming

    Published in The oncologist (Dayton, Ohio) (01-10-2020)
    “…Background Molecular subtyping of triple‐negative breast cancers (TNBCs) via gene expression profiling is essential for understanding the molecular essence of…”
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  3. 3

    Association of body mass index and age with incident diabetes in Chinese adults: a population-based cohort study by Chen, Ying, Zhang, Xiao-Ping, Yuan, Jie, Cai, Bo, Wang, Xiao-Li, Wu, Xiao-Li, Zhang, Yue-Hua, Zhang, Xiao-Yi, Yin, Tong, Zhu, Xiao-Hui, Gu, Yun-Juan, Cui, Shi-Wei, Lu, Zhi-Qiang, Li, Xiao-Ying

    Published in BMJ open (28-09-2018)
    “…ObjectiveType 2 diabetes mellitus is increasing in young adults, and greater adiposity is considered a major risk factor. However, whether there is an…”
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  4. 4

    Magnetic covalent triazine-based frameworks as magnetic solid-phase extraction adsorbents for sensitive determination of perfluorinated compounds in environmental water samples by Ren, Ji-Yun, Wang, Xiao-Li, Li, Xiao-Li, Wang, Ming-Lin, Zhao, Ru-Song, Lin, Jin-Ming

    Published in Analytical and bioanalytical chemistry (01-02-2018)
    “…Covalent organic frameworks (COFs), which are a new type of carbonaceous polymeric material, have attracted great interest because of their large surface area…”
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  5. 5

    Neighborhood Regularized Logistic Matrix Factorization for Drug-Target Interaction Prediction by Liu, Yong, Wu, Min, Miao, Chunyan, Zhao, Peilin, Li, Xiao-Li

    Published in PLoS computational biology (12-02-2016)
    “…In pharmaceutical sciences, a crucial step of the drug discovery process is the identification of drug-target interactions. However, only a small portion of…”
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  6. 6

    Layer‐Number Dependent Optical Properties of 2D Materials and Their Application for Thickness Determination by Li, XiaoLi, Han, Wen‐Peng, Wu, Jiang‐Bin, Qiao, Xiao‐Fen, Zhang, Jun, Tan, Ping‐Heng

    Published in Advanced functional materials (18-05-2017)
    “…The quantum confinement in atomic scale and the presence of interlayer coupling in multilayer make the electronic and optical properties of 2D materials (2DMs)…”
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  7. 7

    Degradation-Aware Remaining Useful Life Prediction With LSTM Autoencoder by Wu, Ji-Yan, Wu, Min, Chen, Zhenghua, Li, Xiao-Li, Yan, Ruqiang

    “…The remaining useful life (RUL) prediction plays a pivotal role in the predictive maintenance of industrial manufacturing systems. However, one major problem…”
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  8. 8

    Drug-Target Interaction Prediction with Graph Regularized Matrix Factorization by Ezzat, Ali, Zhao, Peilin, Wu, Min, Li, Xiao-Li, Kwoh, Chee-Keong

    “…Experimental determination of drug-target interactions is expensive and time-consuming. Therefore, there is a continuous demand for more accurate predictions…”
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  9. 9

    Robotics for Customer Service: A Useful Complement or an Ultimate Substitute? by Xiao, Li, Kumar, V.

    Published in Journal of service research : JSR (01-02-2021)
    “…We propose a conceptual framework that includes the antecedents and consequences of firms’ adopting and integrating robotics into their customer service…”
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  10. 10

    STATISTICAL PARADISES AND PARADOXES IN BIG DATA (I): LAW OF LARGE POPULATIONS, BIG DATA PARADOX, AND THE 2016 US PRESIDENTIAL ELECTION by Meng, Xiao-Li

    Published in The annals of applied statistics (01-06-2018)
    “…Statisticians are increasingly posed with thought-provoking and even paradoxical questions, challenging our qualifications for entering the statistical…”
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  11. 11

    Drug-target interaction prediction using ensemble learning and dimensionality reduction by Ezzat, Ali, Wu, Min, Li, Xiao-Li, Kwoh, Chee-Keong

    Published in Methods (San Diego, Calif.) (01-10-2017)
    “…•We developed ensemble methods that apply dimensionality reduction at each learner.•Decision tree ensemble produces reasonable performance with dimensionality…”
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  12. 12

    Surface Plasmon Resonance Microscopy: From Single‐Molecule Sensing to Single‐Cell Imaging by Zhou, XiaoLi, Yang, Yunze, Wang, Shaopeng, Liu, Xian‐Wei

    Published in Angewandte Chemie International Edition (27-01-2020)
    “…Surface plasmon resonance microscopy (SPRM) is a versatile platform for chemical and biological sensing and imaging. Great progress in exploring its…”
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  13. 13

    Electrophotocatalytic Decarboxylative C−H Functionalization of Heteroarenes by Lai, XiaoLi, Shu, Xiao‐Min, Song, Jinshuai, Xu, Hai‐Chao

    Published in Angewandte Chemie International Edition (22-06-2020)
    “…Decarboxylative C−H functionalization reactions are highly attractive methods for forging carbon–carbon bonds considering their inherent step‐ and…”
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  14. 14

    Drug-target interaction prediction via class imbalance-aware ensemble learning by Ezzat, Ali, Wu, Min, Li, Xiao-Li, Kwoh, Chee-Keong

    Published in BMC bioinformatics (22-12-2016)
    “…Multiple computational methods for predicting drug-target interactions have been developed to facilitate the drug discovery process. These methods use…”
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  15. 15

    Computational prediction of drug–target interactions using chemogenomic approaches: an empirical survey by Ezzat, Ali, Wu, Min, Li, Xiao-Li, Kwoh, Chee-Keong

    Published in Briefings in bioinformatics (19-07-2019)
    “…Abstract Computational prediction of drug–target interactions (DTIs) has become an essential task in the drug discovery process. It narrows down the search…”
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  16. 16

    Drug-target interaction prediction by learning from local information and neighbors by Mei, Jian-Ping, Kwoh, Chee-Keong, Yang, Peng, Li, Xiao-Li, Zheng, Jie

    Published in Bioinformatics (15-01-2013)
    “…In silico methods provide efficient ways to predict possible interactions between drugs and targets. Supervised learning approach, bipartite local model (BLM),…”
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  17. 17

    Aqueous extract of Dendrobium officinale confers neuroprotection against hypoxic‐ischemic brain damage in neonatal rats by Li, XiaoLi, Hong, Mei

    Published in The Kaohsiung journal of medical sciences (01-01-2020)
    “…Accumulating evidences have proved the protective role of traditional Chinese medicine in improving neurological damage induced by cerebral hypoxia‐ischemia…”
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  18. 18

    Hydrogenation of Esters by Manganese Catalysts by Li, Xiao‐Gen, Li, Fu, Xu, Yue, Xiao, Li‐Jun, Xie, Jian‐Hua, Zhou, Qi‐Lin

    Published in Advanced synthesis & catalysis (15-02-2022)
    “…The hydrogenation of esters catalyzed by a manganese complex of phosphine‐aminopyridine ligand was developed. Using this protocol, a variety of…”
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  19. 19

    Selective removals of heavy metals (Pb2+, Cu2+, and Cd2+) from wastewater by gelation with alginate for effective metal recovery by Wang, Fei, Lu, Xingwen, Li, Xiao-yan

    Published in Journal of hazardous materials (05-05-2016)
    “…•Gelation with alginate can rapidly remove heavy metal ions from wastewater.•Pb2+ can be selectively removed by alginate when Cu2+ and Cd2+ are present.•FTIR…”
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