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9篇 您的检索式:作者名="Shupeng Yu"
    题名 作者 年代 出处 被引量
1High-Sensitivity Gas Detection with Air-Lasing-Assisted Coherent Raman Spectroscopy显示文摘Remote or standoff detection of greenhouse gases,air pollutants,and biological agents with innovative ultrafast laser technology attracts growing interests in recent years.Hybrid femtosecond/picosecond coherent Raman spectroscopy is considered as one of the most versatile techniques due to its great advantages in terms of detection sensitivity and chemical specificity.However,the simultaneous requirement for the femtosecond pump and the picosecond probe increases the complexity of optical system.Herein,we demonstrate that air lasing naturally created inside a filament can serve as an ideal light source to probe Raman coherence excited by the femtosecond pump,producing coherent Raman signal with molecular vibrational signatures.The combination of pulse self-compression effect and air lasing action during filamentation improves Raman excitation efficiency and greatly simplifies the experimental setup.The air-lasing-assisted Raman spectroscopy was applied to quantitatively detect greenhouse gases mixed in air,and it was found that the minimum detectable concentrations of CO_(2) and SF_(6) can reach 0.1%and 0.03%,respectively.The ingenious designs,especially the optimization of pump-seed delay and the choice of perpendicular polarization,ensure a high detection sensitivity and signal stability.Moreover,it is demonstrated that this method can be used for simultaneously measuring CO_(2) and SF_(6) gases and distinguishing ^(12)CO_(2) and ^(13)CO_(2).The developed scheme provides a new route for high-sensitivity standoff detection and combustion diagnosis.Zhihao Zhang Fangbo Zhang Bo Xu Hongqiang Xie Botao Fu Xu Lu Ning Zhang Shupeng Yu Jinping Yao Ya Cheng Zhizhan Xu 2022Ultrafast Science2022,,2:4
2MicroRNA-135a contributes to the development of portal vein tumor thrombus by promoting metastasis in hepatocellular carcinoma显示文摘Shupeng Liu Weixing Guo Jie Shi Nan Li Xiya Yu Jie Xue Xiaohui Fu Kaijian Chu Chongde Lu Jiangsha Zhao Dong Xie Mengchao Wu Shuqun Cheng Shanrong Liu 2011Journal of Hepatology2011,,2:2
3Expression of Intercellular Adhesion Molecule 1 by Hepatocellular Carcinoma Stem Cells and Circulating Tumor Cells显示文摘Shupeng Liu Nan Li Xiya Yu Xiao Xiao Kai Cheng Jingjing Hu Jiaqi Wang Dandan Zhang Shuqun Cheng Shanrong Liu 2013Gastroenterology2013,,5:2
4Experimental study on enhancement of the metastatic potential of portal vein tumor thrombus-originated hepatocellular carcinoma cells using portal vein serum显示文摘Objective: Portal vein metastasis of hepatocellular carcinoma(HCC) results in a poor prognosis and seriously affects the survival rate of patients. The mechanism underlying the formation of portal vein tumor thrombus(PVTT) is complex and is not yet fully understood. This study was conducted to investigate the impact of portal vein blood on the proliferation, metastasis, invasion and apoptosis of PVTT cells and to explore its possible mechanisms, which was expected to lay a foundation for ascertaining the mechanism underlying the portal vein metastasis of HCC.Methods: Peripheral blood and portal vein blood were collected from patients with HCC, and the sera from these two sources were used to culture the PVTT-originated HCC cell line CSQT-2. The cells were collected after 24 h, and flow cytometry was performed to detect cell proliferation, cell cycle stages and apoptosis. Transwell migration and invasion assays were applied to detect the metastasis and invasion of the cells in each group. The changes in the expression of MMP-2 and MMP-9 in cells were detected via Western blotting. The contents of IL-12, IFN-γ, IL-1β, IL-2 and TNF-α in the two groups of sera were quantified using corresponding kits. Results: Compared with the group of cells cultured with peripheral serum, the cells cultured with portal vein serum showed significantly lower apoptosis(P<0.01), significantly enhanced cell metastasis and invasion(P<0.01), whereas cell proliferation and the stages of the cell cycle did not differ significantly(P>0.05). A significantly increased expression level of MMP-2 has been observed in tumor cells treated portal vein serum. In addition, compared with peripheral serum, the content of IL-12 was significantly decreased in portal vein serum(P<0.05), while the contents of IFN-γ, IL-1β, IL-2, and TNF-α did not differ significantly(P>0.05). Conclusions: Portal vein serum from HCC patients could inhibit the apoptosis of PVTT-originated HCC cells and promote cell metastasis and invasion. This effect may be related to the lower level of IL-12 in portal vein serum.Yufu Tang Hongming Yu Long Zhang Kang Wang Weixing Guo Jie Shi Shupeng Liu Mengchao Wu Hongyang Wang Shuqun Cheng 2014Chinese Journal of Cancer Research2014,26,5:2
5Value of 18 F-FDG PET/CT in the diagnosis of primary gastric cancer via stomach distension显示文摘Quanmei Ma Jun Xin Zhoushe Zhao Qiyong Guo Shupeng Yu Weina Xu Changping Liu Wei Zhai 2013European Journal of Radiology2013,,6:1
6Dynamic Vision Enabled Contactless Cross-Domain Machine Fault Diagnosis With Neuromorphic Computing显示文摘Dear Editor,This letter presents a novel dynamic vision enabled contactless cross-domain fault diagnosis method with neuromorphic computing.The event-based camera is adopted to capture the machine vibration states in the perspective of vision.Xinrui Chen Xiang Li Shupeng Yu Yaguo Lei Naipeng Li Bin Yang 2024IEEE/CAA Journal of Automatica Sinica2024,11,3:0
7Fraudulent phone call recognition method based on convolutional neural network显示文摘With increasingly rampant telephone fraud activities,the social impact and economic losses caused to China have increased dramatically.Precise,convenient,and efficient fraudulent phone call recognition has become a challenge since telephone fraud became more varied and covert.To deal with this problem,many researchers have extracted some statistical features of telephone fraud behavior and proposed some machine learning algorithms on the field of fraudulent phone call recognition.In this paper,the calling detail records are utilized to construct a classifier for fraudulent phone call recognition.Meantime,a deep learning approach based on convolutional neural network(CNN)is proposed for better features learning and compared with the existing state-of-the-art machine learning algorithms.It learns phone number and call behavior features of telephone fraud,and improves the accuracy of classification.The evaluation results show that the proposed algorithm outperforms competitive algorithms.邢剑 Wang Shupeng Ding Yu 2020High Technology Letters2020,26,4:0
8Compression Behavior and Failure Mechanisms of Bionic Porous NiTi Structures Built via Selective Laser Melting显示文摘Inspired by the crystal microstructure of metals and the bamboo,the bionic porous NiTi structures with the porosities in the range of 75.8%–84.9%were built via selective laser melting(SLM).The compression behavior and the failure mechanisms of the porous NiTi structures were evaluated.It demonstrated an increase in the elastic modulus and ultimate strength when the porosity was decreased,from 3.06 to 7.66 GPa and from 34.1 to 147.6 MPa,respectively.The relationship between the elastic modulus and the porosity obtained by the finite element analysis exhibited similar tendency with the experiment,and agreed well with the Gibson-Ashby model’s prediction.Based on the theoretical model above and the observation of the deformation processing,the plastic deformation behavior and failure mechanisms of the SLMed porous NiTi structures were analyzed.Xiaolong Zhang Yue Jiang Shupeng Wang Shuo Wang Ziqiang Wang Zhenglei Yu Zhihui Zhang Luquan Ren 2023Acta Metallurgica Sinica(English Letters)2023,36,6:0
930 Years of Climate Change before and after the Impoundment of the Three Gorges Reservoir显示文摘The Three Gorges Project, also known as the Yangtze River Three Gorges Water Control Project, is located in Yichang, Hubei Province, China. The dam is one of the largest hydropower stations in the world, with an elevation of 185 meters and a water storage elevation of 175 meters.Junqi Liu Chen Lin Shan Dong Ruixue Feng Aijun Su Jinghui Cui Shupeng Yu 2023Journal of Earth Science2023,34,4:0
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