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- 저자 : Liu Yaming (검색결과 6 건)
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Adhesion GPR123 is an indicator for recurrence and prognosis in bladder cancer
Liu Yaming,Wang Guodong,Cui Tongwei,Lv Lin 한국유전학회 2021 Genes & Genomics Vol.43 No.11
Background Bladder cancer is a common urinary cancer, and most patients sufer tumor recurrence after surgery. Identifying more prognostic biomarkers is an essential task for precious treatment. Objective To evaluate the expression and clinical signifcance of GPR123, Angiotensin-I a type of adhesion G proteincoupled receptors (aGPCRs), in bladder cancer. Methods The expressions of GPR123 in two retrospective cohorts comprised of 150 and 56 patients with bladder cancer respectively, were detected with and immunohistochemistry (IHC). Moreover, GPR123 mRNAs in 11 non-muscle-invasive bladder cancers (NMIBCs) and 11 muscle-invasive bladder cancers (MIBCs) were detected with qRT-PCR. The correlation between GPR123 and the clinicopathological characters was estimated by Chi-square test. The signifcance of GPR123 and other clinicopathological characters in recurrence and prognosis of bladder cancer was evaluated by univariate and multivariate analyses. Results GPR123 was mainly expressed in the cell membrane of bladder cancer. The percentages of high GPR123 expression in NMIBC and MIBC were 38.32 and 55.81% in cohort 1, and 16.00 and 43.90% in cohort 2. With qRT-PCR and IHC, we showed that GPR123 expression in MIBC was signifcantly higher than that in NMIBC. GPR123 was signifcantly associated with T and M stage of bladder cancer. GPR123 expression was all correlated with recurrence (disease-free survival rate), and prognosis (overall survival rate). High GPR123 expression was identifed as independent biomarker indicating easier recurrence and poorer prognosis. Conclusions GPR123 was an independent biomarker of bladder cancer for recurrence and prognosis, indicating that GPR123 detection with IHC after operation could help fnd the high-risk patients and direct the post-operational surveillance.
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The donor bound exciton states in wurtzite GaN quantum dot
Yaming Liu,Congxin Xia,Shuyi Wei 한국물리학회 2009 Current Applied Physics Vol.9 No.1
Based on the effective mass approximation, the donor bound exciton states in a wurtzite (WZ) GaN/AlGaN quantum dot (QD) are investigated by means of a variational method, including the strong built-in electric field effect due to the spontaneous and piezoelectric polarizations. Numerical results show that the donor bound exciton binding energy is highly dependent on the impurity position and QD size. In particular, we find that the donor bound exciton binding energy is insensitive to dot height when the impurity is located at the right boundary of the WZ GaN/AlGaN QD with large dot height. Based on the effective mass approximation, the donor bound exciton states in a wurtzite (WZ) GaN/AlGaN quantum dot (QD) are investigated by means of a variational method, including the strong built-in electric field effect due to the spontaneous and piezoelectric polarizations. Numerical results show that the donor bound exciton binding energy is highly dependent on the impurity position and QD size. In particular, we find that the donor bound exciton binding energy is insensitive to dot height when the impurity is located at the right boundary of the WZ GaN/AlGaN QD with large dot height.
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Zhaoyun Xu,Yaming Zhang,Bo Wang,Jian-feng Yang,Kaikai Liu 한양대학교 세라믹연구소 2016 Journal of Ceramic Processing Research Vol.17 No.8
Porous Si3N4 ceramics with varied porosities were prepared by liquid phase sintering of fibrous α-Si3N4 powder with differentmorphology after ball milling. The influence of the ball milling time on porosity, shrinkage, microstructure and mechanicalproperties of Si3N4 ceramics were investigated. With increasing of the ball milling time from 0 h to 24 hrs, the mean length andaspect ratio of the fibrous α-Si3N4 particles decreased dramatically, resulting in the porosity of porous Si3N4 ceramics decreasedfrom 55.6% to 19.3%. With the decreased length of the fibrous α-Si3N4 particles, microstructures with decreased aspect ratioof β-Si3N4 grains were formed, as a result of increased nuclei number and limited grain growth of the β-Si3N4 grains. Theflexural strength varied from 62 MPa to 205 MPa could be obtained attributed to the synergy effect of porosity andmicrostructure.
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Dynamical evolution of public perceptions of technological innovation in supernetwork
Xiaoyue Qiu,Xiaqun Liu,Yaming Zhuang 제어로봇시스템학회 2022 제어로봇시스템학회 국제학술대회 논문집 Vol.2022 No.11
This paper studies the evolution of public perceptions of technological innovation based on the supernetwork involving social subnetwork, information subnetwork, and knowledge subnetwork. The interaction rules of nodes with different attributes among all the subnetworks are designed by using the multi-agent modeling method. By simulations, we find that with the increase of the public knowledge level or the expansion of the information dissemination range, the public perceptions have gradually improved, but the improvement of public perceptions has a marginal diminishing effect. Besides, the impact of information professionalism on public perceptions will be affected by the range of information dissemination, when the range of information dissemination is small, reducing the professionalism of information can improve the public perceptions; but when the range of information dissemination is large, the professionalism of information has little effect on the evolution of public perceptions. Meanwhile, the trust threshold caused by different knowledge level and the social network structure will affect the convergence of public perceptions.
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( Zhiyu Zhou ),( Junjie Wang ),( Yaming Wang ),( Zefei Zhu ),( Jiayou Du ),( Xiangqi Liu ),( Jiaxin Quan ) 한국인터넷정보학회 2018 KSII Transactions on Internet and Information Syst Vol.12 No.11
Object detection and tracking is the basic capability of mobile robots to achieve natural human-robot interaction. In this paper, an object tracking system of mobile robot is designed and validated using improved multiple instance learning algorithm. The improved multiple instance learning algorithm which prevents model drift significantly. Secondly, in order to improve the capability of classifiers, an active sample selection strategy is proposed by optimizing a bag Fisher information function instead of the bag likelihood function, which dynamically chooses most discriminative samples for classifier training. Furthermore, we integrate the co-training criterion into algorithm to update the appearance model accurately and avoid error accumulation. Finally, we evaluate our system on challenging sequences and an indoor environment in a laboratory. And the experiment results demonstrate that the proposed methods can stably and robustly track moving object.
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