Search Results - "Li, Xiao"

Discussion of “Reservoir-Induced Changes in Flow Fluctuations at Monthly and Hourly Scales: Case Study of the Qingyi River, China” by Feng Huang, Qihui Chen, Fan Li, Xiao Zhang, Yunyun Chen, Ziqiang Xia, and Liying Qiu by Li, Ji-dong, Huang, Wei-bin, Shen, Sheng, Zhan, Yang

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The Four-Herb Chinese Medicine Formula Tuo-Li-Xiao-Du-San Accelerates Cutaneous Wound Healing in Streptozotocin-Induced Diabetic Rats through Reducing Inflammation and Increasing Angiogenesis by Chen, Li-Ming, Guo, Xin, Sun, Bei, Li, Yu-zhu, Wang, Ying, Ma, Ze-jun, Zhang, Xiao-na, Pan, Cong-qing

“… Tuo-Li-Xiao-Du-San (TLXDS), a traditional Chinese medicine formula for refractory wounds, has been prescribed for nearly 400 years in China and shows good efficacy in promoting healing…”
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Professor LI Xiao-ning 's experience for post-stroke dysphagia treated with penetrating-needling and swallowing technique of acupuncture by Wu, Lei, Mei, Ji-Lin, Liang, Xue-Song, Fu, Hao, Li, Xiao-Ning

“…Professor 's experience for post-stroke dysphagia treated with penetrating-needling and swallowing technique of acupuncture is summarized in this paper. The…”
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The effectiveness of internal control and innovation performance: An intermediary effect based on corporate social responsibility by Li, Xiao

“…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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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, Xiao‐Li, Lv, Hong, Jiang, Wen‐Hua, Yang, Wen‐Tao, Jiang, Yi‐Zhou, Zhang, Qing‐Yuan, Shao, Zhi‐Ming

“…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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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

“…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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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

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

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

“…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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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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Model Call: Li Xiao Xing by Garced, Kristi

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

“…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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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

“…Statisticians are increasingly posed with thought-provoking and even paradoxical questions, challenging our qualifications for entering the statistical…”
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Drug-target interaction prediction using ensemble learning and dimensionality reduction by Ezzat, Ali, Wu, Min, Li, Xiao-Li, Kwoh, Chee-Keong

“…•We developed ensemble methods that apply dimensionality reduction at each learner.•Decision tree ensemble produces reasonable performance with dimensionality…”
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Surface Plasmon Resonance Microscopy: From Single‐Molecule Sensing to Single‐Cell Imaging by Zhou, Xiao‐Li, Yang, Yunze, Wang, Shaopeng, Liu, Xian‐Wei

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

“…Decarboxylative C−H functionalization reactions are highly attractive methods for forging carbon–carbon bonds considering their inherent step‐ and…”
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Drug-target interaction prediction via class imbalance-aware ensemble learning by Ezzat, Ali, Wu, Min, Li, Xiao-Li, Kwoh, Chee-Keong

“…Multiple computational methods for predicting drug-target interactions have been developed to facilitate the drug discovery process. These methods use…”
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Computational prediction of drug–target interactions using chemogenomic approaches: an empirical survey by Ezzat, Ali, Wu, Min, Li, Xiao-Li, Kwoh, Chee-Keong

“…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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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

“…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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