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36 results on '"Chen, Yinwen"'

11. Soil Salinity Estimation Based on Sentinel-1/2 Texture Features and Machine Learning

Author

He, Yujie, Yin, Haoyuan, Chen, Yinwen, Xiang, Ru, Zhang, Zhitao, and Chen, Haiying

Abstract

Soil salinization is a vital factor in global land degradation, seriously affecting sustainable agricultural development. Efficient monitoring of soil salinity using satellite remote sensing is critical for saline soil management. Currently, research on soil salinity extraction using satellite remote sensing primarily relies on the spectral information of remote sensing images, but insufficient consideration was given to the texture features of the imagery and the integration of spectral and texture information. To fully explore the effectiveness of texture features and the integration of texture features and spectral information in soil salinity estimation, experiments were conducted in Shahaoqu Irrigation Area, Inner Monglia, China from April to August 2019. To this end, the experiments utilized measured soil salinity data and the textural and spectral data from Sentinel-1/2. The effectiveness of Sentinel-1/2 texture features in soil salinity estimation was examined using out-of-bag score, and soil salinity inversion models were constructed based on the texture features, spectral information, and four machine learning models [random forest, Cubist, support vector machines (SVMs), and backpropagation (BP)]. The results indicated that Sentinel-1 texture features were more sensible to bare soil salinity (the top four most sensible texture features were HOM, ENT, COR, and CON), while Sentinel-2 texture features were more sensible to vegetated soil salinity (the top four were VAR, CON, HOM, and ENT). In addition, when combining texture features and spectral information, the models exhibited improved performance, and random forest had the best performance in both bare soil ( ${R}^{{2}}$ = 0.688 and RMSE = 0.207) and vegetated soil ( ${R}^{{2}}$ = 0.494 and RMSE = 0.304).

Published
2024
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24. Sputum microbiota as a potential diagnostic marker for multidrug-resistant tuberculosis

Author

Lin, Dongzi, primary, Wang, Xuezhi, additional, Li, Yanyun, additional, Wang, Wei, additional, Li, Yumei, additional, Yu, Xiaolin, additional, Lin, Bingyao, additional, Chen, Yinwen, additional, Lei, Chunyan, additional, Zhang, Xueying, additional, Zhang, Xilin, additional, Huang, Juan, additional, Lin, Bihua, additional, Yang, Weiqing, additional, Zhou, Jie, additional, Zeng, Jincheng, additional, and Liu, Xinguang, additional

Published
2021
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34. Performance evaluation of anaerobic fluidized bed reactors using brick beads and porous ceramics as support materials for treating terephthalic acid wastewater

Author

Feng, Yangyang, Lu, Beibei, Jiang, Yu, Chen, Yinwen, and Shen, Shubao

Abstract

AbstractThis study evaluated two different porous support materials (brick beads and porous ceramics) used in rapid mass-transfer anaerobic fluidized bed reactors (AFBRs) for treating terephthalic acid wastewater. The AFBRs, denoted as R1 (containing brick beads) and R2 (containing porous ceramics), were inoculated with anaerobic sludge. Results showed that the system organic loading rate increased from 7.37 kg COD/(m3 d) to 18.52 kg COD/(m3 d) over a period of 73 d. During the steady period, R2 showed better performance than R1. The chemical oxygen demand removal efficiency and total alkalinity removal efficiency of R1 were 65–75% and 60–70%, whereas those of R2 were 75–88% and 72–84%, respectively.

Published
2015
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35. Aberrant expression of miR-16, B12 and CD272 in peripheral blood mononuclear cells from patients with active tuberculosis.

Author

Lin D, Liu Q, Wang W, Li Y, Li Y, Lin B, Ye Z, Huang J, Yu X, Chen Y, Mei Y, Huang M, Yang W, Zhou J, Liu X, and Zeng J

Abstract

Tuberculosis (TB) immunity is affected by complex immune regulation processes, which involve various immune cells, immune molecules, and cytokines. Here, we evaluated the expression of B12, CD272 and miR-16 in peripheral blood mononuclear cells (PBMC) of patients with active pulmonary tuberculosis. The results showed that monocytes expressing CD272 or B12 were down-regulated in patients with tuberculosis. The expression of B12 and CD272 in T cells and monocytes is related to tuberculosis. In TB patients, the up-regulation of miR-16 was negatively correlated with B12 mRNA expression, miR-16 was mainly expressed in CD14 + monocytes, and CD272 mRNA was mainly expressed in CD19 + B cells. It is worth noting that the overexpression of miR-16 inhibits the expression of CD272 and B12 in monocytes of TB patients. After BCG stimulation, miR-16 expression of CD14 + monocytes was up-regulated and B12 mRNA and CD272 mRNA expressions were down-regulated in TB patients. Finally, we found that miR-16 may participate in the TB immunization process through targeted regulation of B12 expression. These studies indicate that the expression of B12, CD272 and miR-16 in PBMC may be related to tuberculosis., Competing Interests: None., (AJTR Copyright © 2020.)

Published
2020

36. [Mass spectrometry-based identification of new serum biomarkers in patients with multidrug resistant pulmonary tuberculosis].

Author

Lin D, Wang W, Qiu F, Li Y, Yu X, Lin B, Chen Y, Lei C, Ma Y, Zeng J, and Zhou J

Subjects
Biomarkers, Chromatography, Liquid, Humans, Tandem Mass Spectrometry, Tuberculosis, Multidrug-Resistant, Tuberculosis, Pulmonary
Abstract

Objective: To screen new serum metabolic biomarkers for different drug resistance profiles of pulmonary tuberculosis (TB) and explore their mechanisms and functions., Methods: We collected serum samples from TB patients with drug sensitivity (DS), monoresistance to isoniazid (MR-INH), monoresistance to rifampin (MR-RFP), multidrug resistance (MDR), and polyresistance (PR). The metabolites in the serum samples were extracted by oscillatory and deproteinization for LC-MS/MS analysis, and the results were normalized by Pareto-scaling method and analyzed using Metaboanalyst 4.0 software to identify the differential metabolites. The differential metabolites were characterized by function enrichment and co-expression analysis to explore their function and possible pathological mechanisms., Results: Compared with the DS group, 286 abnormally expressed metabolites were identified in MR-INH group, 362 in MR-RPF group, 277 in MDR group and 1208 in PR group by LC-MS/MS analysis. Acetylagmatine ( P < 0.05), aminopentol ( P < 0.05), and tetracosanyl oleate ( P < 0.05) in MR-INH group; Ala His Pro Thr ( P < 0.001) and glycinoprenol-9 ( P < 0.05) in MR-RFP group; trimethylamine ( P < 0.05), penaresidin A ( P < 0.05), and verazine ( P < 0.05) in MDR group; and PIP (18:1(11Z)/ 18:3(6Z, 9Z, 12Z)) ( P < 0.001), Pro Arg Trp Tyr ( P < 0.001), N-methyldioctylamine ( P < 0.001), and phytolaccoside E ( P < 0.05) in PR group all showed significant differential expressions. Significant differential expressions of phthalic acid mono-2-ethylhexyl ester ( P < 0.05) and eicosanoyl-EA ( P < 0.05) were found in all the drug resistant groups as compared with DS group., Conclusions: Acetylagmatine, aminopentol, tetracosanyl oleate, Ala His Pro Thr, glycinoprenol-9, trimethylamine, penaresidin A, verazine, PIP(18:1(11Z)/18:3(6Z, 9Z, 12Z)), Pro Arg Trp Tyr, N-methyldioctylamine, phytolaccoside E, phthalic acid mono-2-ethylhexyl ester, and eicosanoyl-EA are potentially new biomarkers that indicate monoresistance, multi-drug resistance and polyresistance of Mycobacterium tuberculosis. The combined use of these biomarkers potentially allows for assessment of drug resistance in TB and enhances the diagnostic sensitivity and specificity.

Published
2019
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