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Your search keyword '"Xiao, Hai"' showing total 295 results
Start Over Author "Xiao, Hai" Publisher elsevier bv
295 results on '"Xiao, Hai"'

6. Novel ligustilide derivatives target quorum sensing system LasR/LasB and relieve inflammatory response against Pseudomonas aeruginosa infection

Author

Liu, Jun, primary, Chen, Qiu-Xian, additional, Wu, Wen-Fu, additional, Wang, Dong, additional, Zhao, Si-Yu, additional, Li, Jia-Hao, additional, Chang, Yi-Qun, additional, Zeng, Shao-Gao, additional, Hu, Jia-Yi, additional, Li, Yu-Jie, additional, Du, Jia-Xin, additional, Jiao, Shu-Meng, additional, Xiao, Hai-Chuan, additional, Zhang, Qiang, additional, Xu, Jun, additional, Zhao, Jian-Fu, additional, Zhou, Hai-Bo, additional, Wang, Yong-Heng, additional, Zou, Jian, additional, and Sun, Ping-Hua, additional

Published
2024
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10. Unraveling the synergy of interface engineering α-MnO2/Bi2WO6 heterostructures and defective active sites for superdurable photocatalysis: Mechanistic insights into charge separation/transfer

Author

Arif, Muhammad, primary, Mahsud, Ayaz, additional, Ali, Amjad, additional, Liao, Shipeng, additional, Xia, Jiawei, additional, Xiao, Hai, additional, Azam, Mohammad, additional, Muhmood, Tahir, additional, Lu, Zhansheng, additional, and Chen, Yinjuan, additional

Published
2023
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20. Polyethylene and polypropylene microplastics reduce chemisorption of cadmium in paddy soil and increase its bioaccessibility and bioavailability

Author

Guo, Jing-Jie, primary, Li, Fen, additional, Xiao, Hai-Chuan, additional, Liu, Bai-Lin, additional, Feng, Lin-Nan, additional, Yu, Peng-Fei, additional, Meng, Can, additional, Zhao, Hai-Ming, additional, Feng, Nai-Xian, additional, Li, Yan-Wen, additional, Cai, Quan-Ying, additional, Xiang, Lei, additional, Mo, Ce-Hui, additional, and Li, Qing X., additional

Published
2023
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21. Electron induction of atomically dispersed Fe sites by adjacent Te atoms promotes CO2 activation in electroreduction

Author

Pan, Yuan, primary, Liu, Chuhao, additional, Zhang, Nannan, additional, Li, Min, additional, Wang, Minmin, additional, Yang, Xuan, additional, Chen, Hsiao-Chien, additional, Zhang, Yanhui, additional, Hu, Wei, additional, Yan, Wensheng, additional, Chen, Hao Ming, additional, Liu, Shoujie, additional, Xiao, Hai, additional, Li, Jun, additional, and Chen, Chen, additional

Published
2023
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34. Adhesion study between micron-scale graphite particles and rough walls using the finite element method

Author

Suyuan Yu, Wei Peng, Qi Sun, and Xiao Hai

Subjects
Materials science, Plane (geometry), General Chemical Engineering, 02 engineering and technology, Surface finish, Adhesion, 010402 general chemistry, 021001 nanoscience & nanotechnology, Curvature, 01 natural sciences, Finite element method, Potential theory, 0104 chemical sciences, Mechanics of Materials, Particle, Graphite, Composite material, 0210 nano-technology
Abstract

The characteristics of how graphite particles adhere to the walls of high-temperature gas-cooled reactors are very important for analyzing reactor source terms. In the present study, atomic force microscopy (AFM) is used to measure the particle adhesion force and the wall morphology, then Lennard-Jones potential theory and the finite element method (FEM) are coupled to calculate the adhesion force between different particles and rough walls. The obvious deviations between the AFM measurements and the theoretical models are due to the contact hypothesis of a sphere with a smooth flat plane in the latter. The FEM results reveal the formation of maximum adhesion at the pull-off point of the particle and the corresponding stress distribution. For aspherical particles, the local curvature of the particle contact interface is the main factor affecting the adhesion force. In addition, for rough walls, different contact regimes correspond to different adhesion trends. When discrete wall roughness with hemispheres and truncated cones is used, the FEM predictions are closer to the AFM measurements, indicating that roughness dominates the adhesion weakening.

Published
2021

36. Variation in soil properties and its influence on the dynamic change of soil erosion resistance to overland flow in the water-level fluctuation zone of the Three Gorges Reservoir, China

Author

Xiao, Hai, primary, Guo, Ping, additional, Zhang, Qianheng, additional, Hu, Huan, additional, Hong, Huan, additional, Zhang, Lun, additional, Yang, Yueshu, additional, Xia, Zhenyao, additional, Li, Mingyi, additional, Kang, Hongliang, additional, and Zhang, Guanhua, additional

Published
2022
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37. Therapeutic effects and mechanisms of Zhen-Wu-Bu-Qi Decoction on dextran sulfate sodium-induced chronic colitis in mice assessed by multi-omics approaches

Author

Zhai, Lixiang, primary, Peng, Jiao, additional, Zhuang, Min, additional, Chang, Yao-yao, additional, Cheng, Ka Wing, additional, Ning, Zi-wan, additional, Huang, Tao, additional, Lin, Chengyuan, additional, Wong, Hoi Leong Xavier, additional, Lam, Yan Y., additional, Tan, Hor Yue, additional, Xiao, Hai-tao, additional, and Bian, Zhao-xiang, additional

Published
2022
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39. The Correlations between Radio and γ-ray Emissions in Multibands for Fermi Blazars

Author

Nie Jian-jun, Chen Xiu-hui, Deng Jin-jie, Tuo Man-xian, Wang Sheng-hui, Yang Jiang-he, QU Xiao-hai, Fan Jun-hui, and Zhang Yue-lian

Subjects
Physics, Correlation coefficient, 010308 nuclear & particles physics, Flux, Astronomy and Astrophysics, Quasar, Astrophysics, Radiation, 01 natural sciences, Synchrotron, law.invention, Methods statistical, Space and Planetary Science, law, 0103 physical sciences, Blazar, 010303 astronomy & astrophysics, Fermi Gamma-ray Space Telescope
Abstract

A sample including 935 blazars with 415 Flat Spectrum Radio Quasars (FSRQs) and 520 BL Lac objects (BL Lacs) (233 HBLs (High synchrotron peak frequency BL Lacs), 144 IBLs (Intermediate synchrotron peak frequency BL Lacs), and 143 LBLs (Low synchrotron peak frequency BL Lacs)) is selected in Fermi 3FGL catalogue. The correlations between two flux densities of the radio 1.4 GHz and γ -ray at 0.1, 0.3, 1, 3, and 10 GeV are investigated for the samples of all blazars, FSRQs, BL Lacs, and subclasses of HBLs and LBLs, respectively. Results show that there are strong positive correlations between the two flux densities, with the correlation coefficients r = 0.48 ∼ 0.81 , and the chance probabilities p all less than 10 − 4 . The correlation coefficient has different trends with the change of γ -ray emission frequency for different blazar samples, and the average correlation coefficients for all the samples at five respective bands decrease with the increase of γ -ray frequency. Therefore, with the increase of γ -ray frequency, the dominant mechanism of γ -ray radiation of blazar is changing, and at the same frequency the dominant mechanism is different for different samples. The γ -ray emission of HBLs may be mainly dominated by the synchrotron self-Compton, while the other mechanisms are responsible for the γ -ray emissions of LBLs. The origin of γ -ray in FSRQs is more complex than that of BL Lacs.

Published
2020

40. The Relations of Multi-waveband Effective Spectral Indices for Fermi Blazars

Author

Wang Sheng-hui, Nie Jian-jun, Yang Jiang-he, Zhang Yue-lian, Tuo Man-xian, Fan Jun-hui, Chen Yi, and QU Xiao-hai

Subjects
Physics, Spectral index, 010308 nuclear & particles physics, Flux, Astronomy and Astrophysics, Quasar, Astrophysics, 01 natural sciences, Synchrotron, law.invention, Space and Planetary Science, law, 0103 physical sciences, Blazar, 010303 astronomy & astrophysics, Fermi Gamma-ray Space Telescope
Abstract

In this paper, the flux densities at the radio (R) 1.4 GHz, optical (O) 4.68 × 10 14 Hz, X-ray (X) 1 keV, and γ -ray ( γ ) 1 GeV are obtained from the available literature for a Fermi blazar sample. The 6 effective spectral indices ( α RO , α RX , α R γ , α OX , α O γ , and α X γ ) between any two of above bands are calculated. The correlations between any two spectral indices are investigated for the whole blazar sample and the subclass samples of FSRQs (Flat Spectral Radio Quasars) and BL Lacs including High synchrotron peak frequency BL Lacs (HBLs) and Low synchrotron peak frequency BL Lacs (LBLs). Results show that: (1) There are close correlations between any two spectral indices for all samples, except for the sample of HBLs and the correlation between α OX and α R γ . This kind of correlations can be explained by the structures of energy spectral distributions at four bands. (2) In the scatter plots of effective spectral index correlations, FSRQs and LBLs are distributed in the same area, but HBLs and FSRQs (LBLs) are distributed in the different areas. (3) The separation degree (discrimination) between the distributions of FSRQs (LBLs) and HBLs differs with the scatter plot of effective spectral index correlations, and the discrimination is related to the frequencies to determine two effective spectral indices.

Published
2020

41. Comparative transcriptome analysis of rhizome nodes and internodes in Panax. japonicus var. major reveals candidate genes involved in the biosynthesis of triterpenoid saponins

Author

Wenjun Zhu, Xiao-Hai Zhang, Tian Zuo, Ran Xu, Guang Wang, Shaopeng Zhang, Rufeng Wang, Ping Chen, and Jingmao You

Subjects
0106 biological sciences, Candidate gene, Ginsenosides, Panax, Biology, 01 natural sciences, Transcriptome, 03 medical and health sciences, chemistry.chemical_compound, Triterpene, Biosynthesis, Botany, Genetics, Gene, Plant Proteins, 030304 developmental biology, Plant stem, chemistry.chemical_classification, 0303 health sciences, Glycosyltransferases, Terpenoid, Rhizome, chemistry, Metabolome, Root Nodules, Plant, 010606 plant biology & botany
Abstract

The rhizome of P. japonicus var. major, one of the important herbs in Traditional Chinese medicine (TCM), has been used as tonic and hemostatic drugs in Tujia and Miao ethnic groups of China for thousand years. In this study, comparative metabolite and transcriptome analysis of rhizome nodes and internodes of wild P. japonicus var. major was performed to reveal their different roles in the biosynthesis of triterpene saponins. The results showed that the node was the crucial section for the synthesis of ginsenosides in the rhizome. The content of oleanane-type ginsenosides in the node was much higher than those in the internode. Most isoprenoid biosynthesis-related genes were highly expressed in the node. And, candidate UDP-glycosyltransferase (UGT) genes were also found to be differentially expressed between node and internode. Our study will provide a better understanding of the metabolism of ginsenosides in the rhizome of P. japonicus var. major.

Published
2020

43. Polyethylene and Polypropylene Microplastics Reduce Chemisorption of Cadmium in Soil and Increase its Bioaccessibility

Author

Guo, Jing-Jie, primary, Li, Fen, additional, Xiao, Hai-Chuan, additional, Liu, Bai-Lin, additional, Feng, Lin-Nan, additional, Yu, Peng-Fei, additional, Meng, Can, additional, Zhao, Hai-Ming, additional, Feng, Nai-Xian, additional, Li, Yan-Wen, additional, Cai, Quan-Ying, additional, Xiang, Lei, additional, Mo, Ce-Hui, additional, and Li, Qing X., additional

Published
2022
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48. A weighted feature extraction method based on temporal accumulation of optical flow for micro-expression recognition

Author

Jie Zhang, Lei Wang, Luo Sheng, Xiao Hai, and Xiyao Liu

Subjects
Facial expression, business.industry, Computer science, Feature extraction, Optical flow, 020206 networking & telecommunications, Pattern recognition, 02 engineering and technology, Interval (mathematics), Image (mathematics), Support vector machine, Discriminative model, Face (geometry), Signal Processing, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Computer Vision and Pattern Recognition, Artificial intelligence, Electrical and Electronic Engineering, business, Software
Abstract

Spatiotemporal features are widely used in micro-expression (ME) recognition to represent facial appearance and action. The features extracted from different face regions are usually given different weights according to the motion intensities in the corresponding regions. The weighted features are reported to be more discriminative than the unweighted ones for ME recognition. However, MEs are so subtle that their motion intensities are usually as low as noises, therefore small image noises can cause similar weights with MEs and degenerate the effectiveness of these weights. To address this issue, a novel weighted feature extraction method is proposed in this paper, whereby the neighboring optical flows in a time interval are accumulated to compute motion intensities. In this manner, the displacements caused by image noises in optical flow are decreased because these displacements are random and direction-inconsistent. Meanwhile, the displacements caused by facial expressions are enhanced because the displacements caused by facial expressions are usually direction-consistent among neighboring frames. The weights computed from the accumulated optical flows are multiplied with the spatiotemporal features, then the weighted features are fed to SVM to classify MEs. The experimental results demonstrate that our method achieves comparable recognition performances with the state-of-the-art methods on SMIC-HS and outperforms the state-of-the-art methods on CASME II.

Published
2019

49. Subsurface temperature estimation from remote sensing data using a clustering-neural network method

Author

Xiao-Hai Yan, Wenfang Lu, Xin Yang, and Hua Su

Subjects
010504 meteorology & atmospheric sciences, Artificial neural network, Anomaly (natural sciences), 0208 environmental biotechnology, Soil Science, Geology, 02 engineering and technology, 01 natural sciences, 020801 environmental engineering, Random forest, Ocean dynamics, Range (statistics), Environmental science, Computers in Earth Sciences, Cluster analysis, Scale (map), Argo, 0105 earth and related environmental sciences, Remote sensing
Abstract

The use of remote sensing observation to estimate subsurface oceanic variables, including subsurface temperature anomaly (STA), is essential for the study of ocean dynamics and climate change. Here we report a new method that combines a pre-clustering process and a neural network (NN) approach to determine the STA using ocean surface temperature, surface height, and surface wind observation data at the global scale. Gridded monthly Argo data were used in the training and validation procedures of the method. Results show that the pre-clustered NN method was better than the same method without clustering, while also outperforming a clustered linear regressor and the random forest method recently reported. The new method was tested over a wide range of time (all months from 2004 to 2010) and depth (down to 1900 m). Overall, our best estimation resulted in an overall root-mean-squared error of 0.41 °C and a determination coefficient (R2) of 0.91 at the 50 m level for all months. The R2 decreased to 0.51 at 300 m but was still better than the calculation without pre-clustering. This method can be expanded to estimate other key oceanic variables and provide new insights in understanding the climate system.

Published
2019

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