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2,989 results on '"Wang, YanFei"'

5. The crystal structure of 1,3,5-tri(1H-imidazol-1-yl)benzene–2,3,5,6-tetrachlorobenzene-1,4-dicarboxylic acid (1/1)

Author

Wang Airong, Wang Xiaoli, Wang Yanfei, Shi Zhongfeng, and Li Jiaming

Subjects
2359934, Physics, QC1-999, Crystallography, QD901-999
Abstract

C23H14Cl4N6O4, triclinic, P1̄ (no. 2), a = 9.044(2) Å, b = 11.340(2) Å, c = 11.812(3) Å, α = 95.470(17)°, β = 105.46(2)°, γ = 90.084(18)°, V = 1161.8(5) Å3, Z = 2, Rgt(F) = 0.0914, wRref(F2) = 0.2547, T = 296 K.

Published
2024
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6. Relative Humidity Correction Method of Microwave Radiometer Combined with Cloud Radar

Author

Zhang Ting, Jiao Zhimin, Mao Jiajia, Zhang Xuefen, Wang Yanfei, Chen Peiyu, and Jin Long

Subjects
microwave radiometer, millimeter-wave cloud radar, relative humidity, cloud, Meteorology. Climatology, QC851-999
Abstract

The microwave radiometer can detect and retrieve temperature and humidity profiles with high spatial and temporal resolution throughout the day. However, microwave radiometers have few detection frequencies in the middle and upper layers, making them easily affected by clouds. After integrating cloud information into brightness temperature data, the improvement in detection accuracy in the middle and upper layers still remains insufficient, failing to meet accuracy standards required for relative humidity. With the construction of a national ground-based remote sensing vertical profile system, the continuous observation of cloud radar and microwave radiometer at the same site has been achieved, enhancing the spatial and temporal resolution. Combined with the relationship between humidity and cloud formation, a comprehensive quality control method is proposed for relative humidity using cloud radar and microwave radiometer. It plays a crucial role in enhancing the accuracy of humidity profile of microwave radiometer under cloudy conditions.By analyzing the characteristic relationship between the cloud radar reflectivity factor and the radiosonde relative humidity, a piecewise correction method for the microwave radiometer relative humidity of the combined cloud radar is proposed. Error correction results are analyzed using the radiosonde and ERA5 data. It shows that there is a positive linear correlation between the relative humidity and the reflectivity factor, the relative humidity in the middle of the cloud region is approximately saturated, and the relative humidity variation trend with the height of the cloud exit region and the cloud entry region is approximately symmetric about a certain height. Under the condition of stratiform clouds, the root mean square error of relative humidity by microwave radiometer decreases by 7.99% and 8.91% when comparing with radiosonde and ERA5, and the absolute value of median deviation decreases by 12.62% and 13.05%, respectively. The absolute median deviation also decreases. Further investigation indicates the method is also effective under the condition of convection cloud, but the relative humidity in the cloud region after correction is larger than that of sounding and ERA5, and the median deviation changes from negative deviation to positive deviation. Therefore, the relative humidity segment correction method of combing cloud radar can realize the continuous real-time correction of the relative humidity profile of microwave radiometer, which partly improves the observation quality of microwave radiometer under cloud conditions.

Published
2024
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7. SysNoise: Exploring and Benchmarking Training-Deployment System Inconsistency

Author

Wang, Yan, Li, Yuhang, Gong, Ruihao, Liu, Aishan, Wang, Yanfei, Hu, Jian, Yao, Yongqiang, Zhang, Yunchen, Xiao, Tianzi, Yu, Fengwei, and Liu, Xianglong

Subjects
Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Computer Vision and Pattern Recognition
Abstract

Extensive studies have shown that deep learning models are vulnerable to adversarial and natural noises, yet little is known about model robustness on noises caused by different system implementations. In this paper, we for the first time introduce SysNoise, a frequently occurred but often overlooked noise in the deep learning training-deployment cycle. In particular, SysNoise happens when the source training system switches to a disparate target system in deployments, where various tiny system mismatch adds up to a non-negligible difference. We first identify and classify SysNoise into three categories based on the inference stage; we then build a holistic benchmark to quantitatively measure the impact of SysNoise on 20+ models, comprehending image classification, object detection, instance segmentation and natural language processing tasks. Our extensive experiments revealed that SysNoise could bring certain impacts on model robustness across different tasks and common mitigations like data augmentation and adversarial training show limited effects on it. Together, our findings open a new research topic and we hope this work will raise research attention to deep learning deployment systems accounting for model performance. We have open-sourced the benchmark and framework at https://modeltc.github.io/systemnoise_web., Comment: Proceedings of Machine Learning and Systems. 2023 Mar 18

Published
2023

13. Research Progress in the Antioxidant Mechanism of Lactic Acid Bacteria and Its Application in the Food Field

Author

YIN Shulei, DU Xiang, ZHANG Xiaoxi, LIU Lu, YI Junjie, WANG Yanfei

Subjects
lactic acid bacteria, antioxidant activity, mechanism of action, food processing, assessment methods, Food processing and manufacture, TP368-456
Abstract

Lactic acid bacteria play a dual role by enhancing both the flavor and nutritional benefits of fermented foods, and helping the body to prevent a variety of diseases caused by oxidation. The fulfillment of these beneficial functions is inseparable from the antioxidant activity of lactic acid bacteria. This article elaborates on the antioxidant mechanism of lactic acid bacteria including regulating antioxidant enzymes, regulating signaling pathways, scavenging free radicals, and inhibiting lipid peroxidation and metal ion chelation. The current status of the application of the antioxidant activity of lactic acid bacteria in dairy, meat, aquatic, and fruit and vegetable products is also reviewed. Finally, this article outlines the in vitro and in vivo evaluation methods for the antioxidant activity of lactic acid bacteria, aiming to provide a reference for deepening the application of lactic acid bacteria in the food processing sector.

Published
2024
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28. Automatically layout and visualize the biological pathway map with spectral graph theory

Author

Xiao, Lingran, Wang, Yanfei, Li, Shiying, Chen, Lingxi, and Li, Shuaicheng

Subjects
Computer Science - Data Structures and Algorithms
Abstract

The pathway is a biological term that refers to a series of interactions between molecules in a cell that causes a certain product or a change in the cell. Pathway analysis is a powerful method for gene expression analysis. Through pathway maps, the lists of genes that are differentially expressed across the given phenotypes are translated into various biological phenomena. Visualizing a pathway map manually is a common practice nowadays because of the limitations of existing solutions to draw complicated graphs (i.e. directed graphs, graphs with edge crossings, etc). This project provides a solution to draw pathway maps automatically based on spectral graph theory and topological sort. Various methods are taken to enhance pathway maps' readability. Significant reductions in the number of edge crossings and the sum of adjacent nodes are achieved.

Published
2022

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