|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Short-term intermittent administration of CXCR4 antagonist AMD3100 facilitates myocardial repair in experimental myocardial infarction显示文摘stromal 的绑定导出房间的 factor-1 (SDF-1 ) 到半胱氨酸(C)-X-C 主题 chemokine 受体(CXCR4 ) 4 从骨头髓为茎和祖先房间 trafficking 作为一个关键信号出现了到发行量。我们的目的是在心肌的梗塞(MI ) 以后在愈合的过程期间调查 AMD3100 (一个特定的可逆 CXCR4 受体对手) 的每日的断断续续的管理的角色。Wistar 老鼠受到 MI, AMD3100 在外科以后 intraperitoneally 被注射。SDF-1 mRNA 表示被即时聚合酶链反应测量。组织学变化与 immunofluorescence 被分析,马森的三色的染色,并且小麦细菌凝集素。在外部血的白血球的数字被完全的血房间计数分析测量。矩阵 metalloproteinase-2/9 (MMP-2/9 ) 的活动被明胶 zymography 决定。在 infarcted 织物的 SDF-1 mRNA 的表示水平很快被提高(6 h ) ,在 24 h 达到顶点,然后在 7 天 post-MI 衰退了到正常水平。AMD3100 进一步在梗塞区域提高了 SDF-1 的增加。增加的白血球在对待 AMD3100 的组被观察。c-kit+ 干细胞和提高的 neovascularization 的动员被 AMD3100 扩充。另外, AMD3100 改进了室的改变,它被梗塞尺寸的减少揭示,可行 cardiomyocyte 代表性的区域和左室(LV ) LV 免费的墙厚度的扩大索引,和增加。MMP-2/9 的活动由 AMD3100 是起来调整的。在结论, AMD3100 的短期的断断续续的管理能在试验性的 MI 加速弯屈的愈合的过程并且是为 MI 的处理的潜在的治疗。 | Yuechen Luo Xiaoning Zhao Xin Zhou Wenjie Ji Ling Zhang Tao Luo Hongmei Liu Tigang Huang Tiemin Jiang Yuming Li | 2013 | Acta Biochimica et Biophysica Sinica2013，45，7： | 3 |
| 2 | Research of Signal-in-Space Integrity Monitoring Based on Inter-satellite Links显示文摘Using the Inter-satellite links(ISLs) to enhance the GNSS's positioning accuracy and integrity is attracting much more attentions. In order to ensure the autonomous positioning accuracy and stability based on ISLs, a satellite and ground joint positioning mode is presented in this paper, which is constrained by quality grade of position error. Spatial error ellipsoid is applied to calculate parameters and achieve Signal-in-space(SIS) integrity monitoring. To check the accuracy of the mode and performance of monitoring, mixed constellation of Beidou system is simulated to support the analysis and investigate the impact of the high-low ISLs. The orbit determination results verify that the introduced integrity monitoring method can satisfy the integrity risk of 10-5/h and achieve the SIS integrity monitoring. | WANG Yuechen LI Rui ZHAO Ruibin | 2015 | Chinese Journal of Electronics2015，24，2： | 1 |
| 3 | Analyzing Interpretability Semantically via CNN Visualization显示文摘Deep convolutional neural networks are widely used in image recognition,but the black box property is always perplexing.In this paper,a method is proposed using visual annotation to interpret the internal structure of CNN from the semantic perspective.First,filters are screened in the high layers of the CNN.For a certain category,the important filters are selected by their activation values,frequencies and classification contribution.Then,deconvolution is used to visualize the filters,and semantic interpretations of the filters are labelled by referring to the visualized activation region in the original image.Thus,the CNN model is interpreted and analyzed through these filters.Finally,the visualization results of some important filters are shown,and the semantic accuracy of filters are verified with reference to the expert feature image sets.In addition,the results verify the semantic consistency of the same important filters under similar categories,which indicates the stability of semantic annotation of these filters. | Chunqi Qi Yuechen Zhao Yue Wang Yapu Zhao Qian Hong Xiuli Wang Weiyu Guo | 2021 | 国际计算机前沿大会会议论文集2021，，2： | 0 |
| 4 | Probing Filters to Interpret CNN Semantic Configurations by Occlusion显示文摘Deep neural networks has beenwidely used inmany fields,but there are growing concerns about its black-box nature.Previous interpretability studies provide four types of explanations including logical rules,revealing hidden semantics,sensitivity analysis,and providing examples as prototypes.In this paper,an interpretability method is proposed for revealing semantic representations at hidden layers of CNNs through lightweight annotation by occluding.First,visual semantic configurations are defined for a certain class.Then candidate filters whose activations are related to these specified visual semantics are probed by occluding.Finally,lightweight occlusion annotation and a scoring mechanism is used to screen out the filters that recognize these semantics.The method is applied to the datasets of mechanical equipment,animals and clothing images.The proposed method performs well in the experiments assessing interpretability qualitatively and quantitatively. | Qian Hong Yue Wang Huan Li Yuechen Zhao Weiyu Guo Xiuli Wang | 2021 | 国际计算机前沿大会会议论文集2021，，2： | 0 |
| 5 | Stock Price Forecasting and Rule Extraction Based on L1-Orthogonal Regularized GRU Decision Tree Interpretation Model显示文摘Neural network is widely used in stock price forecasting,but it lacks interpretability because of its“black box”characteristics.In this paper,L1-orthogonal regularization method is used in the GRU model.A decision tree,GRU-DT,was conducted to represent the prediction process of a neural network,and some rule screening algorithms were proposed to find out significant rules in the prediction.In the empirical study,the data of 10 different industries in China’s CSI 300 were selected for stock price trend prediction,and extracted rules were compared and analyzed.And the method of technical index discretization was used to make rules easy for decision-making.Empirical results show that the AUC of the model is stable between 0.72 and 0.74,and the value of F1 and Accuracy are stable between 0.68 and 0.70,indicating that discretized technical indicators can predict the short-term trend of stock price effectively.And the fidelity of GRU-DT to the GRU model reaches 0.99.The prediction rules of different industries have some commonness and individuality. | Wenjun Wu Yuechen Zhao Yue Wang Xiuli Wang | 2020 | 国际计算机前沿大会会议论文集2020，，2： | 0 |
| 6 | Tuning the formation of��β-phase poly(9,9-di-n-octylfluorenyl-2,7-diyl)via nano-confinement and polystyrene blending for improved photocatalysis显示文摘Among all the phase morphologies of poly(9,9-di-n-octylfluorenyl-2,7-diyl)(PFO),the��phase exhibits a zigzag coplanar arrangement with the highest conjugation degree.As a result,the��-phasePFO has extraordinary prop-erties,including enhanced charge carrier mobility.In this work,we report the formation of high-��-phase PFO in nanoparticles(NPs)due to the synergistic effect of the slow crystallization of PFO in nanodroplet confinement and polystyrene(PS)blending.The��-phase content of PFO can be flexibly tuned by varying the NP size,molec-ular weight(M w),or relative PS content in the NPs.The novel systems demonstrated in this study are likely to provide valuable insights into the��-phase formation mechanism of PFO.As a proof of concept,we further demonstrate that NPs of PFO:PS(1:8)with a higher��-phase content lead to improved photocatalyst efficiency at lower material costs,allowing for novel designs of efficient and visible-light-driven photocatalytic NPs. | Xingjuan Zhao Run Li Yuechen Jia | 2022 | ChemPhysMater2022，1，3： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员