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Your search keyword '"Chen, Tian-Lu"' showing total 26 results
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26 results on '"Chen, Tian-Lu"'

2. Progress of Electron–Neutron Detector Array (ENDA)

Author

Peng, Da-Yu, Chen, Hao-Kun, Chen, Tian-Lu, Danzengluobu, Liu, Mao-Yuan, Cui, Shu-Wang, Li, Bing-Bing, Xiao, Di-Xuan, Yang, Fan, Zhang, Liang-Wei, Ma, Xin-Hua, Gao, Wei, Yin, Li-Qiao, Stenkin, Yu. V., Shchegolev, O. B., Kuleshov, D. A., Kurinov, K. O., Liu, Ye, and Liu, Hu

Published
2023
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3. Application of deep learning methods combined with physical background in wide field of view imaging atmospheric Cherenkov telescopes

Author

Cheng, Ao-Yan, Cai, Hao, Chen, Shi, Chen, Tian-Lu, Dong, Xiang, Feng, You-Liang, Gao, Qi, Gou, Quan-Bu, Guo, Yi-Qing, Hu, Hong-Bo, Kang, Ming-Ming, Li, Hai-Jin, Liu, Chen, Liu, Mao-Yuan, Liu, Wei, Min, Fang-Sheng, Pan, Chu-Cheng, Qiao, Bing-Qiang, Qian, Xiang-Li, Sun, Hui-Ying, Sun, Yu-Chang, Wang, Ao-Bo, Wang, Xu, Wang, Zhen, Xin, Guang-Guang, Yao, Yu-Hua, Yuan, Qiang, and Zhang, Yi

Published
2024
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4. Electron–Neutron Detector Array (ENDA)

Author

Li, Bing-Bing, Cui, Shu-Wang, Shi, Cong, Yang, Fan, Zhang, Liang-Wei, Liu, Ye, Ma, Xin-Hua, Gao, Wei, Yin, Li-Qiao, Stenkin, Yu. V., Kuleshov, D. A., Levochkin, K. R., Shchegolev, O. B., Chen, Tian-Lu, Danzengluobu, Liu, Mao-Yuan, and Xiao, Di-Xuan

Published
2021
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7. 100 TeV diffuse γ-rays observation by YangBaJing Hybrid Array

Author

He, Jian-Cheng, Yao, Yu-Hua, Wang, Zhen, Chen, Tian-Lu, Dan-Zeng-Luo-Bu, Feng, Cun-Feng, Feng, Youliang, Gao, Qi, Guo, Yi-Qin, Guo, Ying-Ying, Hu, Hong-Bo, Huang, Xing-Tao, Liu, Cheng, Liu, Mao-Yuan, Pan, Yi-Bin, Qiao, Bing-Qiang, Xin, Guang-Guang, Zhang, Xue-Yao, Zhang, Yi, and Zhao, Shi-Ping

Published
2020
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8. Status of the High-Altitude ENDA-LHAASO Array

Author

Stenkin, Yu. V., Alekseenko, V. V., Danzengluobu, Zhang, Liang-Wei, Kuleshov, D. A., Levochkin, K. R., Li, Bing-Bing, Liu, Mao-Yuan, Liu, Ye, Ma, Xin-Hua, Xiao, Di-Xuan, Shchegolev, O. B., Cui, Shu-Wang, Chen, Tian-Lu, Shi, Cong, and Yang, Fan

Published
2021
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12. Prognostic significance of 2-hydroxyglutarate levels in acute myeloid leukemia in China

Author

Wang, Jiang-Han, Chen, Wen-Lian, Li, Jun-Min, Wu, Song-Fang, Chen, Tian-Lu, Zhu, Yong-Mei, Zhang, Wei-Na, Li, Yang, Qiu, Yun-Ping, Zhao, Ai-Hua, Mi, Jian-Qing, Jin, Jie, Wang, Yun-Gui, Ma, Qiu-Ling, Huang, He, Wu, De-Pei, Wang, Qin-Rong, Li, Yan, Yan, Xiao-Jing, Yan, Jin-Song, Li, Jian-Yong, Wang, Shuai, Huang, Xiao-Jun, Wang, Bing-Shun, Jia, Wei, Shen, Yang, Chen, Zhu, and Chen, Sai-Juan

Published
2013

14. In Situ Construction of Bronze/Anatase TiO 2 Homogeneous Heterojunctions and Their Photocatalytic Performances.

Author

Li, Yong, Zhang, Ming-Qing, Liu, Yan-Fang, Sun, Ya-Xun, Zhao, Qing-Hua, Chen, Tian-Lu, Chen, Yuan-Fu, and Wang, Shi-Feng

Abstract

Photocatalytic degradation is one of the most promising emerging technologies for environmental pollution control. However, the preparation of efficient, low-cost photocatalysts still faces many challenges. TiO2 is a widely available and inexpensive photocatalyst material, but improving its catalytic degradation performance has posed a significant challenge due to its shortcomings, such as the easy recombination of its photogenerated electron–hole pairs and its difficulty in absorbing visible light. The construction of homogeneous heterojunctions is an effective means to enhance the photocatalytic performances of photocatalysts. In this study, a TiO2(B)/TiO2(A) homogeneous heterojunction composite photocatalyst (with B and A denoting bronze and anatase phases, respectively) was successfully constructed in situ. Although the construction of homogeneous heterojunctions did not improve the light absorption performance of the material, its photocatalytic degradation performance was substantially enhanced. This was due to the suppression of the recombination of photogenerated electron–hole pairs and the enhancement of the carrier mobility. The photocatalytic ability of the TiO2(B)/TiO2(A) homogeneous heterojunction composite photocatalyst was up to three times higher than that of raw TiO2 (pure anatase TiO2). [ABSTRACT FROM AUTHOR]

Published
2022
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17. Progress in serological noninvasive diagnostic methods for non-alcoholic fatty liver disease.

Author

SANG Chao, LIANG Dan-dan, XIE Guo-xiang, JIA Wei, and CHEN Tian-lu

Abstract

Non-alcoholic fatty liver disease (NAFLD) has become the most common chronic liver disease, along with the prevalence of obesity and metabolic syndrome. Non-alcoholic fatty liver will progress to non-alcoholic steatohepatitis (NASH), NASH-related liver fibrosis and liver cirrhosis, and even hepatocellular carcinoma. Accurate assessment and early intervention are conducive to clinical burden reduction and disease control. Although being the "golden standard" for diagnosing NAFLD, the clinical application of liver biopsy is limited due to well-known limitations and significant complications. Serological testing, as a noninvasive method, has been well-recognized among researchers and clinicians. The understanding of the pros and cons and the application ranges of various methods and indexes is helpful for clinical applications, including providing more diagnosis approaches, improving diagnosis power, relieving pain of patients, and saving medical resources. This article reviews the advances in serological noninvasive diagnostic methods for NAFLD. [ABSTRACT FROM AUTHOR]

Published
2021
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20. Performance of the muon detector A under TIBET III array.

Author

LIU Cheng, BI Xiao-Jun, CHEN Tian-Lu, CHEN Wen-Yi, CUI Shu-Wang, DANZENGLUOBU, DING Lin-Kai, DING Xiao-Hong, FENG Cun-Feng, FENG Zhao-Yang, FENG Zhen-Yong, GOU Quan-Bu, GUO Hong-Wei, GUO Yi-Qing, HE Hui-Hai, HOU Zheng-Tao, HU Hai-Bing, HU Hong-Bo, HUANG Jing, and LI Wan-Jie

Published
2013
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21. Time and Frequency Domain Feature Fusion for Defect Classification Based on Pulsed Eddy Current NDT.

Author

Zhang, Qi, Chen, Tian-lu, Yang, Guang, and Liu, Li

Subjects
NONDESTRUCTIVE testing, TIME-frequency analysis, MANUFACTURING defects, EDDY currents (Electric), ROBUST control, EMPIRICAL research
Abstract

Pulsed Eddy current (PEC) is an emerging nondestructive evaluation (NDT) technique excited with a broadband pulse that consists of rich frequency information. This technique generally uses the response peak value and peak arrival time to detect and quantify defects, which is not sufficient to achieve enough information associated with flaw quantification. This article introduces the application of empirical mode decomposition and Hilbert transform in extracting a new frequency domain feature from PEC responses. Time and frequency features are combined to enhance the accuracy of defect classification. The validation and robustness of the new feature and the improved classification by experimental studies are presented. [ABSTRACT FROM PUBLISHER]

Published
2012
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23. Identification of Magnetic Flux Leak Inspection Signals for Pipeline Detection Using an Improved BP Neural Netwok Algorithm.

Author

JIN Tao, QUE Pei-wen, CHEN Tian-lu, and LI Liang

Abstract

Recognizing the appearance parameters of defects is the main object in the signal processing of offshore oil pipeline inspection. Based on the feature extraction of magnetic flux leakage (MFL) inspection data, a modified back-propagation (BP) neural network system were presented to recognize pipeline defect and corrosion. The process of teaching and testing of BP neural networks to characterize the defect signals was analyzed. The adjusting method of network output weight and rate of learning based on Levenberg-Marquardt algorithm was also discussed. In order to obtain the perfect structure parameters of network and research each parameter's effect on the performance of network, a large number of simulation tests were conducted. The MFL data processing experiment proves that the defect recognition neural network system has high convergence speed and good ability of approaching defect features. [ABSTRACT FROM AUTHOR]

Published
2005

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