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15篇 您的检索式:作者名="Zhuofei"
    题名 作者 年代 出处 被引量
1ERK signaling pathway may induce gemcitabine chemoresistance in pancreatic cancer cell line SW1990 by regulating the expression of mdr-1 and RRM1 gene显示文摘调查在细胞外的调整信号的激酶(英皇家空军之阶级最低之兵) 之间的关系的目的小径,多在 gemcitabine (宝石) 的药抵抗基因(mdr-1 ) ,核糖核甙酸还原酶 M1 (RRM1 ) 基因和他们的角色在胰腺的癌症房间的化学抵抗力衬里 SW1990。宝石抵抗房间建模的方法被一个逐步的方法构造。Immunohistochemistry 被用来在半在确定的房间紧张测量英皇家空军之阶级最低之兵蛋白质(ERK1/2 ) 的表示量的方法。mdr-1 和 RRM1 的 mRNA 表示被 RT-PCR 检测。MTT 试金被执行决定 IC50 价值。确定的宝石抵抗的房间拉紧的结果能在宝石(0, 30, 60, 100, 150 和 200 nmol/L ) 的中等包含的不同集中层次获得稳定的生长和经过能力。英皇家空军之阶级最低之兵蛋白质, mdr-1 和 RRM1 基因的表示被提高由宝石集中的增加伴随了。在 mdr-1, RRM1 表示和宝石抵抗水平之间有高度积极的关联(r = 0.960, P = 0.002 并且 r = 0.966, P = 0.002 ) 。英皇家空军之阶级最低之兵蛋白质的表示也与 mdr-1 和 RRM1 水平相关(r =−0.943, P = 0.005 并且 r =−0.883, P = 0.02 ) 。在 200 nmol/L 的宝石抵抗水平, ERK1/2 的灰规模价值是 164.22 ± 13.17, mdr-1/β-actin 和 RRM1/β-actin 是 1.41 ± 0.04 和 1.45 ± 0.18 分别地;在与英皇家空军之阶级最低之兵小径禁止者 U0126 对待以后,这些价值同时地减少了到 186.85 ± 13.14, 0.2 3 ± 0.02 和 0.21 ± 0.03 分别地;相反地, ERK1/2 灰规模价值是 106.55 ± 16.45, mdr-1/β-actin 和 RRM1/β-actin 是 1.50 ± 0.07 和 1.52 ± 0.12,分别地它介绍了一个趋势在与英皇家空军之阶级最低之兵小径使活跃之物 EGF 对待以后,同时地增加。在 0 nmol/L 和 200 个 nmol/L 层次的宝石抵抗的房间的 IC50 价值分别地是 4.104 和 10.20。在与 U0126 对待以后,这些价值分别地减少了到 3.26 和 4.50;当与 EGF 对待时, IC50 价值分别地增加了到 8.89 和 17.17。英皇家空军之阶级最低之兵小径可以在 mdr-1 和 RRM1 基因表示的规定通过参予在胰腺的房间线 SW1990 导致 GEM-chemoresistance 的结论。Denglin Chen Derong Xie Shuangshuang Guo Qiong Yang Zhimin Jiang Zhuofei Bi Wen Ma 2009The Chinese-German Journal of Clinical Oncology2009,8,1:3
2Spatial modulation of nanopattern dimensions by combining interference lithography and grayscale-patterned secondary exposure显示文摘Functional nanostructures are exploited for a variety of cutting-edge fields including plasmonics,metasurfaces,and biosensors,just to name a few.Some applications require nanostructures with uniform feature sizes while others rely on spatially varying morphologies.However,fine manipulation of the feature size over a large area remains a substantial challenge because mainstream approaches to precise nanopatterning are based on low-throughput pixel-by-pixel processing,such as those utilizing focused beams of photons,electrons,or ions.In this work,we provide a solution toward wafer-scale,arbitrary modulation of feature size distribution by introducing a lithographic portfolio combining interference lithography(IL)and grayscale-patterned secondary exposure(SE).Employed after the high-throughput IL,a SE with patterned intensity distribution spatially modulates the dimensions of photoresist nanostructures.Based on this approach,we successfully fabricated 4-inch wafer-scale nanogratings with uniform linewidths of<5%variation,using grayscale-patterned SE to compensate for the linewidth difference caused by the Gaussian distribution of the laser beams in the IL.Besides,we also demonstrated a wafer-scale structural color painting by spatially modulating the filling ratio to achieve gradient grayscale color using SE.Zhuofei Gan Hongtao Feng Liyang Chen Siyi Min Chuwei Liang Menghong Xu Zijie Jiang Zhao Sun Chuying Sun Dehu Cui Wen-Di Li 2022Light(Science & Applications)2022,11,5:3
3Size-resolved effective density of submicron particles during summertime in the rural atmosphere of Beijing, China显示文摘Particle density is an important physical property of atmospheric particles.The information on high time-resolution size-resolved particle density is essential for understanding the atmospheric physical and chemical aging processes of aerosols particles.In the present study,a centrifugal particle mass analyzer(CPMA) combined with a differential mobility analyzer(DMA) was deployed to determine the size-resolved effective density of 50 to 350 nm particles at a rural site of Beijing during summer 2016.The measured particle effective densities decreased with increasing particle sizes and ranged from 1.43 to 1.55 g/cm^3,on average.The effective particle density distributions were dominated by a mode peaked at around 1.5 g/cm^3 for 50 to350 nm particles.Extra modes with peaks at 1.0,0.8,and 0.6 g/cm3 for 150,240,and 350 nm particles,which might be freshly emitted soot particles,were observed during intensive primary emissions episodes.The particle effective densities showed a diurnal variation pattern,with higher values during daytime.A case study showed that the effective density of Aitken mode particles during the new particle formation(NPF) event decreased considerably,indicating the significant contribution of organics to new particle growth.Kai Qiao Zhijun Wu Xiangyu Pei Qianyun Liu Dongjie Shang Jing Zheng Zhuofei Du Wenfei Zhu Yusheng Wu Shengrong Lou Song Guo Chak K.Chan Ravi Kant Pathak Mattias Hallquist Min Hu 2018Journal of Environmental Sciences2018,30,11:2
4Tumor pyruvate kinase M2:A promising molecular target of gastrointestinal cancer显示文摘Gastrointestinal(GI) cancer is one of the most common causes of cancer-related deaths worldwide.Tumor markers are valuable in detecting post-surgical recurrence or in monitoring response to chemotherapy.Pyruvate kinase isoform M2(PKM2),a glycolytic enzyme catalyzing conversion of phosphoenolpyruvate(PEP) to pyruvate,confers a growth advantage to the tumor cells and enables them to adapt to the tumor microenvironment.In this review,we have summarized current research on the expression and regulation of PKM2 in tumor cells,and its potential role in GI carcinogenesis and progression.Furthermore,we have also discussed the potential of PKM2 as a diagnostic and screening marker,and a therapeutic target in GI cancer.Chen Guo Guan Li Jianing Hou Xingming Deng Sheng Ao Zhuofei Li Guoqing Lyu 2018Chinese Journal of Cancer Research2018,30,6:2
5Prognostic significance of periostin in colorectal cancer显示文摘Accumulating evidence suggests that periostin is frequently upregulated in tissue injury, inflammation,fibrosis and tumor progression. Periostin expression in cancer cells can promote metastatic potential of colorectal cancer(CRC)via activating PI3 K/Akt signaling pathway. Moreover, periostin is observed mainly in tumor stroma and cytoplasm of cancer cells, which may facilitate aggressiveness of CRC. In this review, we summarize information regarding periostin to emphasize its role as a prognostic marker of CRC.Xingming Deng Sheng Ao Jianing Hou Zhuofei Li Yunpeng Lei Guoqing Lyu 2019Chinese Journal of Cancer Research2019,31,3:2
6Analysis on Actinobacillus pleuropneumoniae LuxS regulated genes reveals pleiotropic roles of LuxS/AI-2 on biofilm formation, adhesion ability and iron metabolism显示文摘Lu Li Zhuofei Xu Yang Zhou Tingting Li Lili Sun Huanchun Chen Rui Zhou 2011Microbial Pathogenesis2011,,6:1
7Ambient photolysis frequency of NO2 determined using chemical actinometer and spectroradiometer at an urban site in Beijing显示文摘Qi Zou Keding Lu Yusheng Wu Yudong Yang Zhuofei Du Min Hu 2016Frontiers of Environmental Science & Engineering2016,10,6:1
8Signal control optimization for automated vehicles at isolated signalized intersections显示文摘Li Zhuofei Lily Elefteriadou Sanjay Ranka 2014Transportation Research Part C:Emerging Technologies2014,49,:1
9High-fidelity and clean nanotransfer lithography using structure-embedded and electrostatic-adhesive carriers显示文摘Metallic nanostructures are becoming increasingly important for both fundamental research and practical devices.Many emerging applications employing metallic nanostructures often involve unconventional substrates that are flexible or nonplanar,making direct lithographic fabrication very difficult.An alternative approach is to transfer prefabricated structures from a conventional substrate;however,it is still challenging to maintain high fidelity and a high yield in the transfer process.In this paper,we propose a high-fidelity,clean nanotransfer lithography method that addresses the above challenges by employing a polyvinyl acetate(PVA)film as the transferring carrier and promoting electrostatic adhesion through triboelectric charging.The PVA film embeds the transferred metallic nanostructures and maintains their spacing with a remarkably low variation of<1%.When separating the PVA film from the donor substrate,electrostatic charges are generated due to triboelectric charging and facilitate adhesion to the receiver substrate,resulting in a high large-area transfer yield of up to 99.93%.We successfully transferred the metallic structures of a variety of materials(Au,Cu,Pd,etc.)with different geometries with a<50-nm spacing,high aspect ratio(>2),and complex 3D structures.Moreover,the thin and flexible carrier film enables transfer on highly curved surfaces,such as a single-mode optical fiber with a curvature radius of 62.5μm.With this strategy,we demonstrate the transfer of metallic nanostructures for a compact spectrometer with Cu nanogratings transferred on a convex lens and for surface-enhanced Raman spectroscopy(SERS)characterization on graphene with reliable responsiveness.Zhuofei Gan Jingxuan Cai Zhao Sun Liyang Chen Chuying Sun Junyi Yu Zeyu Liang Siyi Min Fei Han Yu Liu Xing Cheng Shuhui Yu Dehu Cui Wen-Di Li 2023Microsystems & Nanoengineering2023,9,1:1
10Gemcitabine Compared With Gemcitabine and S-1 Combination Therapy in Advanced Pancreatic Cancer: A Systematic Review and Meta-Analysis显示文摘Doudou Li Changhao Chen Yu Zhou Rufu Chen Xinxiang Fan Zhuofei Bi Zhihua Li Yimin Liu 2015Medicine2015,,35:1
11Deep Feature Bayesian Classifier for SAR Target Recognition with Small Training Set显示文摘In recent years,deep learning algorithms have been popular in recognizing targets in synthetic aperture radar(SAR)images.However,due to the problem of overfitting,the performance of these models tends to worsen when just a small number of training data are available.In order to solve the problems of overfitting and an unsatisfied performance of the network model in the small sample remote sensing image target recognition,in this paper,we uses a deep residual network to autonomously acquire image features and proposes the Deep Feature Bayesian Classifier model(RBnet)for SAR image target recognition.In the RBnet,a Bayesian classifier is used to improve the effect of SAR image target recognition and improve the accuracy when the training data is limited.The experimental results on MSTAR dataset show that the RBnet can fully exploit effective information in limited samples and recognize the target of the SAR images more accurately.Compared with other state-of-the-art methods,our method offers significant recognition accuracy improvements under limited training data.Noted that theRBnet is moderately difficult to implement and has the value of popularization and application in engineering application scenarios in the field of small-sample remote sensing target recognition and recognition.Liguo Zhang Zilin Tian Yan Zhang Tong Shuai Shuo Liang Zhuofei Wu 2022Journal of New Media2022,4,2:0
12Threshold Filtering Semi-Supervised Learning Method for SAR Target Recognition显示文摘The semi-supervised deep learning technology driven by a small part of labeled data and a large amount of unlabeled data has achieved excellent performance in the field of image processing.However,the existing semisupervised learning techniques are all carried out under the assumption that the labeled data and the unlabeled data are in the same distribution,and its performance is mainly due to the two being in the same distribution state.When there is out-of-class data in unlabeled data,its performance will be affected.In practical applications,it is difficult to ensure that unlabeled data does not contain out-of-category data,especially in the field of Synthetic Aperture Radar(SAR)image recognition.In order to solve the problem that the unlabeled data contains out-of-class data which affects the performance of the model,this paper proposes a semi-supervised learning method of threshold filtering.In the training process,through the two selections of data by the model,unlabeled data outside the category is filtered out to optimize the performance of the model.Experiments were conducted on the Moving and Stationary Target Acquisition and Recognition(MSTAR)dataset,and compared with existing several state-of-the-art semi-supervised classification approaches,the superiority of our method was confirmed,especially when the unlabeled data contained a large amount of out-of-category data.Linshan Shen Ye Tian Liguo Zhang Guisheng Yin Tong Shuai Shuo Liang Zhuofei Wu 2022Computers, Materials & Continua2022,,10:0
13Potential of secondary aerosol formation from Chinese gasoline engine exhaust显示文摘Light-duty gasoline vehicles have drawn public attention in China due to their significant primary emissions of particulate matter and volatile organic compounds(VOCs). However,little information on secondary aerosol formation from exhaust for Chinese vehicles and fuel conditions is available. In this study, chamber experiments were conducted to quantify the potential of secondary aerosol formation from the exhaust of a port fuel injection gasoline engine. The engine and fuel used are common in the Chinese market, and the fuel satisfies the China V gasoline fuel standard. Substantial secondary aerosol formation was observed during a 4–5 hr simulation, which was estimated to represent more than 10 days of equivalent atmospheric photo-oxidation in Beijing. As a consequence, the extreme case secondary organic aerosol(SOA) production was 426 ± 85 mg/kg-fuel, with high levels of precursors and OH exposure. The low hygroscopicity of the aerosols formed inside the chamber suggests that SOA was the dominant chemical composition. Fourteen percent of SOA measured in the chamber experiments could be explained through the oxidation of speciated single-ring aromatics. Unspeciated precursors, such as intermediate-volatility organic compounds and semi-volatile organic compounds, might be significant for SOA formation from gasoline VOCs. We concluded that reductions of emissions of aerosol precursor gases from vehicles are essential to mediate pollution in China.Zhuofei Du Min Hu Jianfei Peng Song Guo Rong Zheng Jing Zheng Dongjie Shang Yanhong Qin He Niu Mengren Li Yudong Yang Sihua Lu Yusheng Wu Min Shao Shijin Shuai 2018Journal of Environmental Sciences2018,30,4:0
14Brake wear-derived particles:Single-particle mass spectral signatures and real-world emissions显示文摘Brake wear is an important but unregulated vehicle-related source of atmospheric particulate matter(PM).The single-particle spectral fingerprints of brake wear particles(BWPs)provide essential information for understanding their formation mechanism and atmospheric contributions.Herein,we obtained the single-particle mass spectra of BWPs by combining a brake dynamometer with an online single particle aerosol mass spectrometer and quantified real-world BWP emissions through a tunnel observation in Tianjin,China.The pure BWPs mainly include three distinct types of particles,namely,Bacontaining particles,mineral particles,and carbon-containing particles,accounting for 44.2%,43.4%,and 10.3%of the total BWP number concentration,respectively.The diversified mass spectra indicate complex BWP formation pathways,such as mechanical,phase transition,and chemical processes.Notably,the mass spectra of Ba-containing particles are unique,which allows them to serve as an excellent indicator for estimating ambient BWP concentrations.By evaluating this indicator,we find that approximately 4.0%of the PM in the tunnel could be attributable to brake wear;the real-world fleet-average emission factor of 0.28 mg km1 veh1 is consistent with the estimation obtained using the receptor model.The results presented herein can be used to inform assessments of the environmental and health impacts of BWPs to formulate effective emissions control policies.Jiayuan Liu Jianfei Peng Zhengyu Men Tiange Fang Jinsheng Zhang Zhuofei Du Qijun Zhang Ting Wang Lin Wu Hongjun Mao 2023Environmental Science and Ecotechnology2023,,3:0
15Significant effects of transport on nanoparticles during new particle formation events in the atmosphere of Beijing显示文摘The mechanisms of new particle formation(NPF)events that occurred under high aerosol loadings(“polluted”NPF)in the atmosphere have been unclear,which has inhibited the precision of particlepollution control.To deepen the understanding of how the“polluted”NPF events occur,a one-monthcomprehensive measurement was conducted in the atmosphere of Beijing during the summer of2016.The“clean”NPF events(frequency=22%)(condensation sink,CS<0.015 s^(-1))were found to becaused by local nucleation and growth.The“polluted”NPF events(frequency=28%)(CS>0.015 s^(-1))were influenced by both local nucleation-growth and regional transport,and the contributions from thetwo factors to 6e25 nm particle number concentration were 60%and 40%,respectively.This studyemphasized the importance of the transport for nanoparticles in relatively polluted atmospheres,and forthat the regional joint particle pollution control would be an essential policy.Dongjie Shang Min Hu Lizi Tang Xin Fang Ying Liu Yusheng Wu Zhuofei Du Xuhui Cai Zhijun Wu Shengrong Lou Mattias Hallquist Song Guo Yuanhang Zhang 2023Particuology2023,,9:0
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