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| 1 | Synchronization of multiple autonomous underwater vehicles without velocity measurements显示文摘In this paper,we investigate the synchronization control of multiple autonomous underwater vehicles (AUVs),considering both state feedback and output feedback cases.Treating multiple AUVs as a graph,we define the tracking error of each AUV with both its own tracking error and the relative position errors with respect to its neighbors taken into account.Lyapunov analysis is used to derive the control law for each AUV.For the output feedback case,a passive filter is used to compensate for the unknown relative velocity errors among AUVs,and an observer is employed to estimate the velocity of the AUV itself.Rigid mathematical proof is provided for the proposed algorithms for both state feedback and output feedback cases.Simulations are provided to demonstrate the effectiveness of the proposed approach.It is shown that,the synchronization error is smaller in the case of considering the relative errors between AUVs than in the case of considering the tracking error of the single AUV only. | CUI RongXin YAN WeiSheng XU DeMin | 2012 | Science China(Information Sciences)2012，55，7： | 6 |
| 2 | Activation of Piezo1 contributes to matrix stiffness-induced angiogenesis in hepatocellular carcinoma显示文摘Background:Despite integrin being highlighted as a stiffness-sensor molecule in matrix stiffness-driven angiogenesis,other stiffness-sensor molecules and their mechanosensory pathways related to angiogenesis in hepatocellular carcinoma(HCC)remain obscure.Here,we explored the interplay between Piezo1 and integrinβ1 in the mechanosensory pathway and their effects on HCC angiogenesis to better understand matrix stiffness-induced angiogenesis.Methods:The role of Piezo1 in matrix stiffness-induced angiogenesis was investigated using orthotopic liver cancer SD rat models with high liver stiffness background,and its clinical significance was evaluated in human HCC tissues.Matrix stiffness-mediated Piezo1 upregulation and activation were assayed using an in vitro fibronectin(FN)-coated cell culture system with different stiffness,Western blotting and Ca^(2+)probe.The effects of shPiezo1-conditioned medium(CM)on angiogenesis were examined by tube formation assay,wound healing assay and angiogenesis array.The underlying mechanism by which Piezo1 participated in matrix stiffness-induced angiogenesis was analyzed by microRNA quantitative real-time polymerase chain reaction(qRT-PCR),matrix stiffness measurement,dual-luciferase reporter assay,ubiquitination assay and co-immunoprecipitation.Results:Increased matrix stiffness significantly upregulated Piezo1 expression at both cellular and tissue levels,and high expression of Piezo1 indicated an unfavorable prognosis.High matrix stiffness also noticeably enhanced the activation level of Piezo1,similar to its expression level.Piezo1 knockdown significantly suppressed tumor growth,angiogenesis,and lung metastasis of HCC rat models with high liver stiffness background.shPiezo1-CM from HCC cells attenuated tube formation and migration abilities of vascular endothelial cells remarkably,and analysis of differentially expressed pro-angiogenic factors revealed that Piezo1 promoted the expression and secretion of vascular endothelial growth factor(VEGF),CXC chemokine ligand 16(CXCL16)and insulin-like growth factor binding protein 2(IGFBP2).Matrix stiffness-caused Piezo1 upregulation/activation restrained hypoxia inducible factor-1α(HIF-1α)ubiquitination,subsequently enhanced the expression of downstream pro-angiogenic factors to accelerate HCC angiogenesis.Besides,collagen 1(COL1)-reinforced tissue stiffening resulted in more expression of Piezo1 via miR-625-5p.Conclusions:This study unravels a new mechanism by which the inte-grinβ1/Piezo1 activation/Ca2+influx/HIF-1αubiquitination/VEGF,CXCL16 and IGFBP2 pathway participates in matrix stiffness-driven HCC angiogenesis.Simultaneously,a positive feedback regulation loop as stiff matrix/integrinβ1/miR-625-5p/Piezo1 and COL1/stiffer matrix mediates matrix stiffness-caused Piezo1 upregulation. | Miao Li Xi Zhang Mimi Wang Yaohui Wang Jiali Qian Xiaoxia Xing Zhiming Wang Yang You Kun Guo Jie Chen Dongmei Gao Yan Zhao Lan Zhang Rongxin Chen Jiefeng Cui Zhenggang Ren | 2022 | Cancer Communications2022，42，11： | 3 |
| 3 | The Significance of MMP-9 Over MMP-2 in HCC Invasiveness and Recurrence of Hepatocellular Carcinoma After Curative Resection显示文摘 | Rongxin Chen Jiefeng Cui Changde Xu Tongchun Xue Kun Guo Dongmei Gao Yinkun Liu Shenglong Ye Zhenggang Ren | 2012 | Annals of Surgical Oncology2012，，3： | 2 |
| 4 | Long-term adaptive informative path planning for scalar field monitoring using cross-entropy optimization显示文摘Dear editor,Robots are extensively used in various civil and military applications (1, 2)In the last decade, informative path planning (IPP) has been one of the most important research areas in modern robot engineering [3], especially in long-term monitoring of a particular area of interest. | Yang LI Rongxin CUI Weisheng YAN Demin XU | 2019 | Science China(Information Sciences)2019，62，5： | 2 |
| 5 | Increasing matrix stiffness upregulates vascular endothelial growth factor expression in hepatocellular carcinoma cells mediated by integrin β1显示文摘 | Yinying Dong Xiaoying Xie Zhiming Wang Chao Hu Qiongdan Zheng Yaohui Wang Rongxin Chen Tongchun Xue Jie Chen Dongmei Gao Weizhong Wu Zhenggang Ren Jiefeng Cui | 2014 | Biochemical and Biophysical Research Communications2014，，： | 1 |
| 6 | Terminal sliding mode tracking control for a class of SISO uncertain nonlinear systems 显示文摘 | Chen Mou Wu Qingxian Cui Rongxin | 2013 | ISA Transactions2013，52，： | 1 |
| 7 | Leader-follower formation control of underactuated autonomous underwater vehicles显示文摘 | Rongxin Cui Shuzhi Sam Ge Bernard Voon En How | 2010 | Ocean Engineering2010，37，1718： | 1 |
| 8 | Leader-follower formation control of underactuated autonomous underwater vehi- cles 显示文摘 | Cui Rongxin Ge S S How B V E | 2010 | Ocean Engineering2010，37，1718： | 1 |
| 9 | Leader-follo- wer formation control of underactuated autonomous underwa- ter vehicles显示文摘 | CUI Rongxin GE Shuzhi VOON H B | 2010 | Ocean Engineering2010，37，： | 1 |
| 10 | Machine Learning for Improving Stellar Image-based Alignment in Wide-field Telescopes显示文摘Stellar images will deteriorate dramatically when the sensitive elements of wide-field survey telescopes are misaligned during an observation, and active alignment is the key technology to maintain the high resolution of wide-field sky survey telescopes. Instead of traditional active alignment based on field-dependent wave front errors, this work proposes a machine learning alignment metrology based on stellar images of the scientific camera,which is more convenient and higher speed. We first theoretically confirm that the pattern of the point-spread function over the field is closely related to the misalignment status, and then the relationships are learned by twostep neural networks. After two-step active alignment, the position errors of misalignment parameters are less than5 μm for decenter and less than 5″ for tip-tilt in more than 90% of the cases. The precise alignment results indicate that this metrology provides a low-cost and high-speed solution to maintain the image quality of wide-field sky survey telescopes during observation, thus implying important significance and broad application prospects. | Zhixu Wu Yiming Zhang Rongxin Tang Zhengyang Li Xiangyan Yuan Yong Xia Hua Bai Bo Li Zhou Chen Xiangqun Cui Xiaohua Deng | 2022 | Research in Astronomy and Astrophysics2022，22，1： | 0 |
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