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7篇 您的检索式:作者名="Ruyan Zhang"
    题名 作者 年代 出处 被引量
1Combined peripheral natural killer cell and circulating tumor cell enumeration enhance prognostic efficiency in patients with metastatic triple-negative breast cancer显示文摘Objective:Triple-negative breast cancer(TNBC)is a heterogeneous disease with poor prognosis.Circulating tumor cells(CTCs)are a promising predictor for breast cancer prognoses but their reliability regarding progression-free survival(PFS)is controversial.We aim to verify their predictive value in TNBC.Methods:In present prospective cohort study,we used the Pep@MNPs method to enumerate CTCs in baseline blood samples from 75 patients with TNBC(taken at inclusion in this study)and analyzed correlations between CTC numbers and outcomes and other clinical parameters.Results:Median PFS was 6.0(range:1.0–25.0)months for the entire cohort,in whom we found no correlations between baseline CTC status and initial tumor stage(P=0.167),tumor grade(P=0.783)or histological type(P=0.084).However,among those getting first-line treatment,baseline CTC status was positively correlated with ratio of peripheral natural killer(NK)cells(P=0.032),presence of lung metastasis(P=0.034)and number of visceral metastatic site(P=0.037).Baseline CTC status was predictive for PFS in first-line TNBC(P=0.033),but not for the cohort as a whole(P=0.118).This prognostic limitation of CTC could be ameliorated by combining CTC and NK cell enumeration(P=0.049).Conclusions:Baseline CTC status was predictive of lung metastasis,peripheral NK cell ratio and PFS in TNBC patients undergoing first-line treatment.We have developed a combined CTC-NK enumeration strategy that allows us to predict PFS in TNBC without any preconditions.Xiaoran Liu Ran Ran Bin Shao Hope S.Rugo Yanlian Yang Zhiyuan Hu Zewen Wei Fengling Wan Weiyao Kong Guohong Song Hanfang Jiang Xu Liang Ruyan Zhang Ying Yan Guobing Xu Huiping Li 2018Chinese Journal of Cancer Research2018,30,3:4
2A competitive microcystin-LR immunosensor based on Au NPs@metal-organic framework(MIL-101)显示文摘An electrochemical immunosensor was developed for ultrasensitive detection of microcystin-LR in water. MIL-101, a porous metal-organic frameworks(MOFs) material based on trivalent chromium skeleton were synthesized by hydrothermal synthesis method, and loaded with Au nanoparticles(Au NPs) to prepare Au NPs@MIL-101 composite materials which were used as a marker to label anti microcystin-LR(Anti-MC-LR). The composite materials have strong catalytic properties to the oxidation of ascorbic acid. Anti-MC-LR was immobilized on glassy carbon electrode surface using electrodeposition graphene oxide(GO) as an immobilization matrix to construct a competitive microcystin-LR immunosensor. The electrochemical immunosensor display linear relationship in the range of 0.05 ng/mL-75 μg/mL with linear correlation coefficient of 0.9951 and detection limit of 0.02 ng/mL(S/N = 3). This sensor was used to detect microcystin-LR in the water sample. The recovery was 102.43%,which is satisfied. The good testing results indicate the sensor has a great prospect in practical application.Kunlei Zhang Kun Dai Ruyan Bai Yuchan Ma Yan Deng Delei Li Xi Zhang Rong Hu Yunhui Yang 2019Chinese Chemical Letters2019,30,3:2
3Study on key techniques on ecological renovation design of existing buildings in China显示文摘With the rapid development of China economy and critical ecological situation in China,ecological renovation of existing buildings has become a special important topic. Key techniques on ecological renovation design of existing buildings in China are explored in this paper. Special attention is paid to specific treatments suitable for China.Wu Jinxiu Zhang Hui Dong Wei Sun Ruyan 2010Engineering Sciences2010,8,2:1
4ZnO Microtube Ultraviolet Detectors显示文摘Jiping Cheng Yunjin Zhang Ruyan Guo 2008Journal of Crystal Growth2008,310,1:1
5Zr-4 alloy bar true stress strain curve of testing and processing 显示文摘Li Mingqiang He Quanbo Zhang Ruyan 1989Rme Metal Materials and Engineering1989,11,4:1
6ZnO microtube ultraviolet detectors显示文摘Jiping Cheng Yunjin Zhang Ruyan Guo 2007Journal of Crystal Growth2007,,1:1
7Automatic sub-pixel coastline extraction based on spectral mixture analysis using EO-1 Hyperion data显示文摘Many megacities (such as Shanghai) are located in coastal areas, therefore, coastline monitoring is critical for urban security and urban development sustainability. A shoreline is defined as the intersection between coastal land and a water surface and features seawater edge movements as tides rise and fall. Remote sensing techniques have increasingly been used for coastline extraction;however, traditional hard classification methods are performed only at the pixel-level and extracting subpixel accuracy using soft classification methods is both challenging and time consuming due to the complex features in coastal regions. This paper presents an automatic sub-pixel coastline extraction method (ASPCE) from high-spectral satellite imaging that performs coastline extraction based on spectral mixture analysis and, thus, achieves higher accuracy. The ASPCE method consists of three main components: 1) A Water-Vegetation-Impervious-Soil (W-V-I-S) model is first presented to detect mixed W-V-I-S pixels and determine the endmember spectra in coastal regions;2) The linear spectral mixture unmixing technique based on Fully Constrained Least Squares (FCLS) is applied to the mixed W-V-I-S pixels to estimate seawater abundance;and 3) The spatial attraction model is used to extract the coastline. We tested this new method using EO-1 images from three coastal regions in China: the South China Sea, the East China Sea, and the Bohai Sea. The results showed that the method is accurate and robust. Root mean square error (RMSE) was utilized to evaluate the accuracy by calculating the distance differences between the extracted coastline and the digitized coastline. The classifier’s performance was compared with that of the Multiple Endmember Spectral Mixture Analysis (MESMA), Mixture Tuned Matched Filtering (MTMF), Sequential Maximum Angle Convex Cone (SMACC), Constrained Energy Minimization (CEM), and one classical Normalized Difference Water Index (NDWI). The results from the three test sites indicated that the proposed ASPCE method extracted coastlines more efficiently than did the compared methods, and its coastline extraction accuracy corresponded closely to the digitized coastline, with 0.39 pixels, 0.40 pixels, and 0.35 pixels in the three test regions, showing that the ASPCE method achieves an accuracy below 12.0 m (0.40 pixels). Moreover, in the quantitative accuracy assessment for the three test sites, the ASPCE method shows the best performance in coastline extraction, achieving a 0.35 pixel-level at the Bohai Sea, China test site. Therefore, the proposed ASPCE method can extract coastline more accurately than can the hard classification methods or other spectral unmixing methods.Zhonghua HONG Xuesu LI Yanling HAN Yun ZHANG Jing WANG Ruyan ZHOU Kening HU 2019Frontiers of Earth Science2019,13,3:0
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