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RISS 인기검색어
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- 저자 : Zhengyi Yang (검색결과 5 건)
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Zhengyi Wu*,Liang Sun*,Ke Ning,Zhendong Chen,Zhipeng Wu,Hanqing Yang,Jinlong Yan*,Xiangbao Yin* 대한외과학회 2023 Annals of Surgical Treatment and Research(ASRT) Vol.105 No.6
Purpose: This study was performed to analyze the rule of confluence of the caudate lobe bile duct (CLD) into the left hepatic duct (LHD) and to discuss the protective strategy during left hemihepatectomy. Methods: MRI of 400 patients and T-tube angiography images of 100 patients were collected, and the imaging rules of the confluence of the CLD into the LHD were summarized. The clinical data of 33 patients who underwent left hemihepatectomy using the protective strategy were analyzed. Results: MRI and T-tube angiography images showed that the length from the confluence point of the CLD into the LHD to the confluence of the left and right hepatic ducts was 1.19 ± 0.40 cm and 1.26 ± 0.39 cm, respectively. The average angle between the longitudinal axis of the 2 bile ducts was 68.27° ± 22.59° and 66.58 ± 22.88°, respectively. Coronal and cross-sectional images showed that inflow from the foot side to the cranial side was noted in 79.8% and 82.0% of patients, respectively, and inflow from the dorsal to the ventral side was observed in 84.5% and 88.0%, respectively. Based on these imaging rules, the safe transection length and plane were summarized, and the CLD was effectively protected in 33 cases of left hemihepatectomy. Conclusion: In left hemihepatectomy, the LHD should be transected at least 1.5 cm away from the confluence of the left and right hepatic ducts, and the plane of transection should be oblique to the dorsal side at an angle of 45° with the LHD, these parameters represent an effective strategy to protect the CLD.
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Liang Fan,Weipeng Yang,Dan Zhou,Zhengyi Li 한국강구조학회 2021 International Journal of Steel Structures Vol.21 No.1
To investigate the temporal–spatial temperature fi eld and mechanical response of an orthotropic steel bridge deck during paving with gussasphalt concrete (GAC), in situ monitoring of the Cuntan Yangtze River Bridge in China was conducted during GAC paving, and a fi nite element method model of the temperature fi eld was established. The test and model show the following: (1) The maximum temperature occur at the paving area mid-span on the steel bridge deck, and the temperature stress of the ribs is non-negligible. (2) The deck in the paving and non-paving areas is mainly subjected to compressive and tensile stresses, respectively. (3) The beam end of the steel box expanded outward, and the deck bulge upward. (4) Based on the analysis of the construction parameters, the paving temperature and width have a greater infl uence than the paving speed on the stress and deformation fi elds. In bridge design, the temperature-stress problem caused by high-temperature pavement and the pavement thickness problem caused by the temperature deformation of the deck must be considered. The longitudinal elongation should meet the allowable limits of the corresponding telescopic device. These results can provide a reference for construction workers and maintenance personnel of bridge deck pavement.
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Few-shot transfer learning with attention for intelligent fault diagnosis of bearing
Yao Hu,Qingyu Xiong,Qiwu Zhu,Zhengyi Yang,Zhiyuan Zhang,Dan Wu,Zihui Wu 대한기계학회 2022 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.36 No.12
The bearing is one of the key components in modern industrial equipment. In the past few years, many studies have been carried out on bearing diagnosis through datadriven methods. However, there are two practical problems. First, under actual working conditions, the lack of fault samples is a major factor that hinders the application of these methods in industrial environments. Second, there is a lack of full utilization of a priori knowledge in the current stage of methods using relational networks for fault diagnosis. It is manifested by the incompleteness of the relational network structure. To address these problems, we present a new diagnosis method based on few-shot learning, which is suitable for the environment where the data is scarce. In this method, we train the model with the data generated by the artificial damaged bearings instead of the data from the real bearing. We experimentally validate the performance improvement of the complete relational network structure. It is able to perform the few-shot learning task better. In addition, we also reduce the global feature discrepancy by introducing an attention mechanism to improve the performance of the model. And the impact of the number of layers of the attention mechanism on the model is also discussed in detail. In this paper, our model performs better under the same experimental conditions compared with other transfer learning models.
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Gene Expression Profiles of HeLa Cells Impacted by Hepatitis C Virus Non-structural Protein NS4B
Zheng, Yi,Ye, Lin-Bai,Liu, Jing,Jing, Wei,Timani, Khalid A.,Yang, Xiao-Jun,Yang, Fan,Wang, Wei,Gao, Bo,Wu, Zhen-Hui Korean Society for Biochemistry and Molecular Biol 2005 Journal of biochemistry and molecular biology Vol.38 No.2
By a cDNA array representing 2308 signal transduction related genes, we studied the expression profiles of HeLa cells stably transfected by Hepatitis C virus nonstructural protein 4B (HCV-NS4B). The alterations of the expression of four genes were confirmed by real-time quantitative RT-PCR; and the aldo-keto reductase family 1, member C1 (AKR1C1) enzyme activity was detected in HCV-NS4B transiently transfected HeLa cells and Huh-7, a human hepatoma cell line. Of the 2,308 genes we examined, 34 were up-regulated and 56 were down-regulated. These 90 genes involved oncogenes, tumor suppressors, cell receptors, complements, adhesions, transcription and translation, cytoskeletion and cellular stress. The expression profiling suggested that multiple regulatory pathways were affected by HCV-NS4B directly or indirectly. And since these genes are related to carcinogenesis, host defense system and cell homeostatic mechanism, we can conclude that HCV-NS4B could play some important roles in the pathogenesis mechanism of HCV.
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Hepatitis C Virus Non-structural Protein NS4B Can Modulate an Unfolded Protein Response
Zheng Yi,Gao Bo,Ye Li,Kong Lingbao,Jing Wei,Yang Xiaojun,Wu Zhenghui,Ye Linbai The Microbiological Society of Korea 2005 The journal of microbiology Vol.43 No.6
Viral infection causes stress to the endoplasmic reticulum (ER). The response to endoplasmic reticulum stress, known as the unfolded protein response (UPR), is designed to eliminate misfolded proteins and allow the cell to recover. The role of hepatitis C virus (HCV) non-structural protein NS4B, a component of the HCV replicons that induce UPR, is incompletely understood. We demonstrate that HCV NS4B could induce activating transcription factor (ATF6) and inositol-requiring enzyme 1 (IRE1), to favor the HCV subreplicon and HCV viral replication. HCV NS4B activated the IRE1 pathway, as indicated by splicing of X box-binding protein (Xbp-1) mRNA. However, transcriptional activation of the XBP-1 target gene, EDEM (ER degradation-enhancing $\alpha-mannosidase-like$ protein, a protein degradation factor), was inhibited. These results imply that NS4B might induce UPR through ATF6 and IRE1-XBP1 pathways, but might also modify the outcome to benefit HCV or HCV subreplicon replication.
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