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3篇 您的检索式:作者名="Xuekui Yan"
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1Weighted average consensus problem in networks of agents with diverse time-delays显示文摘This paper studies the weighted average consensus problem for networks of agents with fixed directed asymmetric unbalance information exchange topology. We suppose that the classical distributed consensus protocol is destroyed by diverse time-delays which include communication time-delay and self time-delay. Based on the generalized Nyquist stability criterion and the Gerschgorin disk theorem, some sufficient conditions for the consensus of multi-agent systems are obtained. And we give the expression of the weighted average consensus value for our consensus protocol. Finally, numerical examples are presented to illustrate the theoretical results.Wenhui Liu Feiqi Deng Jiarong Liang Xuekui Yan 2014Journal of Systems Engineering and Electronics2014,25,6:4
2A complex structure of arrestin-2 bound to a G protein-coupled receptor显示文摘Arrestins comprise a family of signal regulators of G-protein-coupled receptors(GPCRs),which include arrestins 1 to 4.While arrestins 1 and 4 are visual arrestins dedicated to rhodopsin,arrestins 2 and 3(Arr2 and Arr3)areβ-arrestins known to regulate many nonvisual GPCRs.The dynamic and promiscuous coupling of Arr2 to nonvisual GPCRs has posed technical challenges to tackle the basis of arrestin binding to GPCRs.Here we report the structure of Arr2 in complex with neurotensin receptor 1(NTSR1),which reveals an overall assembly that is strikingly different from the visual arrestin–rhodopsin complex by a 90°rotation of Arr2 relative to the receptor.In this new configuration,intracellular loop 3(ICL3)and transmembrane helix 6(TM6)of the receptor are oriented toward the N-terminal domain of the arrestin,making it possible for GPCRs that lack the C-terminal tail to couple Arr2 through their ICL3.Molecular dynamics simulation and crosslinking data further support the assembly of the Arr2‒NTSR1 complex.Sequence analysis and homology modeling suggest that the Arr2‒NTSR1 complex structure may provide an alternative template for modeling arrestin–GPCR interactions.Wanchao Yin Zhihai Li Mingliang Jin Yu-Ling Yin Parker Wde Waal Kuntal Pal Yanting Yin Xiang Gao Yuanzheng He Jing Gao Xiaoxi Wang Yan Zhang Hu Zhou Karsten Melcher Yi Jiang Yao Cong X.Edward Zhou Xuekui Yu H.Eric Xu 2019Cell Research2019,29,12:4
3Establishment of a prognostic scoring model for regional recurrent nasopharyngeal carcinoma after neck dissection显示文摘Objective:The main aim of this study was to establish a scoring model to predict risk of progression and survival in patients with regionally recurrent nasopharyngeal carcinoma(NPC).Methods:Three hundred and forty-eight patients subjected to neck dissection from 2003 to 2017 were included for study.Clinicopathologic information for each patient was analyzed.Independent prognostic factors were selected using the Cox proportional hazards model and incorporated into the scoring model.Concordance index(C-index)and calibration curves were used to verify discrimination and calibration,respectively and the results validated using bootstrap resampling.Results:Microscopic positive lymph node>2[hazard ratio(HR),2.19;95%confidence interval(CI),1.30–3.68;P=0.003],extranodal extension(HR,2.75;95%CI,1.69–4.47;P<0.001),and lower neck involvement(HR,1.78;95%CI,1.04–3.04;P=0.034)were identified from multivariate analysis as independent factors for overall survival(OS).A qualitative 4-point scale was generated to stratify patients into 4 risk groups for predicting OS and progression-free survival(PFS).The novel scoring model demonstrated enhanced discrimination(C-index=0.69;95%CI,0.62–0.76)relative to the original recurrent tumor-node-metastasis(rTNM)staging system(C-index=0.56;95%CI,0.50–0.62),and was internally validated with a bootstrap-adjusted C-index of 0.70.The calibration curve showed good agreement between predicted probabilities and actual observations.Conclusions:The scoring system established in this study based on a large regionally recurrent NPC cohort fills a gap regarding assessment of risk and prediction of survival outcomes after neck dissection in this population and could be further applied to identify high-risk patients who may benefit from more aggressive intervention.Xiaoyun Li Chao Lin Jinjie Yan Qiuyan Chen Xuesong Sun Sailan Liu Shanshan Guo Liting Liu Haojun Xie Qingnan Tang Yujing Liang Ling Guo Hao Li Xuekui Liu Xiang Guo Linquan Tang Haiqiang Mai 2020Cancer Biology & Medicine2020,17,1:0
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