Cheng Nie

Distribution and antimicrobial resistance of pathogens in oral and maxillofacial infections during and Post-COVID-19 pandemic

D Li, Zhiyi Yu, Cheng Nie, Huamin Li et autres

Background This study investigated the distribution characteristics and antimicrobial resistance patterns of pathogens isolated from patients with oral and maxillofacial infections during and after the COVID-19 pandemic. Methods This retrospective study analyzed microbial cultures of specimens obtained from patients with odontogenic and …

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Microfluidic Generation of Exosome‐Mimetic Nanoparticles for Scalable Production and Enhanced Therapeutic Efficacy

J. S. Kim, Do Hyun Lee, H. K. Seo, Hyun‐Jin Lee et autres

Exosomes are nanoscale lipid-bilayer vesicles that mediate intercellular communication by delivering bioactive molecules such as nucleic acids and proteins. Among them, exosomes derived from salivary gland epithelial stem cells (sgESC-Exos) exhibit antifibrotic effects in salivary gland models through the delivery of antifibrotic …

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Machine learning-driven microfluidic deglycosylation for ultra-sensitive detection of PD-L1 extracellular vesicles

Cheng Nie, Hyorim Jeong, Sunyoung Park, Hairi Jiang et autres

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Does place-based policy encourage energy efficiency? Evidence from development zones in China

Liang Nie, Cheng Nie

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An investigation on corrosion resistance of laser-cladded FeCoNiCrCu high-entropy alloy coatings based on different initial powder particle sizes

Ying Wang, Yuhua Peng, Chao He, Shuobin Chen et autres

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Effect of Porosity on the Corrosion Behavior of FeCoNiMnCrx Porous High-Entropy Alloy in 3.5 Wt.% NaCl Solution

Ying Wang, Shuobin Chen, Yuhua Peng, Dong Li et autres

The effects of different Cr contents on the corrosion resistance of FeCoNiMnCrx (x = 0.5;1;1.5) porous high-entropy alloys (HEAs) in 3.5 wt.% NaCl solution on corrosion resistance was investigated. With the increase in Cr content, the total porosity and permeability of the …

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Evaluation and analysis of efficacy in bisphosphonate treatment of chronic nonbacterial osteomyelitis.

Dandan Li, Zhujun Yu, Cheng Nie, Jianli Wang

OBJECTIVES: This study aimed to analyze the influence of drug factors on the efficacy of bisphosphonate for chronic nonbacterial osteomyelitis to provide a reference for clinical treatment and promote clinical rational drug use by evaluation of effectiveness and safety of bisphosphonate treatment …

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An investigation on corrosion resistance of laser-cladded FeCoNiCrCu high-entropy alloy coatings based on different initial powder particle sizes

Ying Wang, Yuhua Peng, Chao He, Shuobin Chen et autres

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High-resolution spiral microfluidic channel integrated electrochemical device for isolation and detection of extracellular vesicles without lipoprotein contamination

Yong‐Hyun Kwon, Sun‐Young Park, Hairi Jiang, N.G. Gurudatt et autres

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Study on the Properties of TiC Coating Deposited by Spark Discharge on the Surface of AlFeCoCrNiCu High-Entropy Alloy

Ying Wang, Cheng Nie, Shengding Wang, Pan Gong et autres

Titanium carbide (TiC) coatings were prepared on the surface of AlFeCoCrNiCu high-entropy alloy blocks using electro-spark deposition (ESD). The microhardness and corrosion resistance of the TiC coatings prepared under different voltage and capacitance process parameters were studied. The research shows that the …

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Reliability prediction of process pumps Based on weibull proportional hazards model and grey theory

Cheng Nie, Yimin Liu, Wen Cheng

Using the grey theory to predict the operating state of the process pumps, a short-term prediction method of the reliability for the process pumps is given in this paper. Firstly, the metabolic theory and Markov theory are applied to improve the basic …

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Forecasting method of process pump equipment based on grey theory

Cheng Nie, Yimin Liu, Wen Cheng

To effectively prevent failures, the historical data of process pumps is used to predict the operating states. For prediction small sample data, Grey theory can provide high accuracy predictive results. In this paper, grey theory model is used to predict the operational …

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