|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Hybrid terahertz metamaterial structure formed by assembling a split ring resonator with a metal mesh显示文摘We propose a novel metamaterial structure operating at the terahertz band. This structure is assembled by a split ring resonator (SRR) with a metal mesh within a unit cell. Our experimental studies on the composite structure indicate that the coupling of the SRR and metal mesh significantly contribute to the transparency at the terahertz range. Moreover, we experimentally demonstrated the verity of transmission peak of this structure by changing the relative positions of the SRR and the metal mesh. The simulated electric field redistributions support the dependence between position of the two components and the transmission response. This study is the first to report a hybrid metamaterial structure consisting of an SRR array and a metal mesh within a unit cell. The designed process and resonance characteristics of this composite structure make it an excellent candidate for developing tunable terahertz components via integration with the MEMS (Micro Electronic Mechanical System) technology. | XIONG Wei YAO Jun LI Wei SHEN JingLing | 2013 | Science China(Physics,Mechanics & Astronomy)2013，56，5： | 3 |
| 2 | Simulated Reflectance of Apple Trees in Canopy Level Based on the PROSAIL Model and HJ-1A-HSI Data显示文摘Using the PROSAIL radiation transfer model and HJ-1A-HSI data to simulate the canopy reflectivity of apple trees, this study lays the foundation for the inversion of canopy parameters. Taking Qixia City of Yantai City, Shandong Province as the research area, the apple tree was taken as the research object, and the hyperspectral reflectance, LAI and sample GPS of apple canopy were measured in the field. The parameters required for the PROSAIL model were obtained by experimental methods. The model simulates the reflectivity;the HSI image data is preprocessed, and the canopy reflectivity is extracted by GPS coordinates. The PROSAIL model and the HSI image simulated reflectance were fitted to the measured apple canopy reflectivity. The decisive factor (R2) of the simulated reflectance and the measured reflectance of the PROSAIL model was 0.9944, and the relative error (RE%)was 0.1845. The HSI data simulated reflectance and measured reflectance. The coefficient of determination is 0.9714 and the relative error is 0.6202. Both have achieved good fitting effects and can be used for inversion studies of apple canopy parameters. | Xiaoyan Guo Xicun Zhu Jingling Xiong Ruiyang Yu Xueyuan Bai Yuanmao Jiang Dongsheng Gao Guijun Yang | 2019 | 遥感科学(中英文版)2019，7，1： | 0 |
| 3 | Inversion of Canopy Nitrogen Content in Apple Orchard Based on GF-1 Satellite Image显示文摘The apple orchard in Qixia City, Yantai City, Shandong Province was used as the research area. The nitrogen content inversion of apple canopy was studied by using the satellite remote sensing images of GF-1. On the basis of GF-1 satellite multispectral image preprocessing, vegetation index was extracted by band math. The nitrogen sensitive vegetation index of apple canopy was selected by correlation analysis of nitrogen content in apple canopy. The best inversion model for the nitrogen content of apple canopy was selected by establishing the regression model of univariate and multivariate factors. The nitrogen content of the canopy of apple orchard in the study area was inverted in space. The results showed that the 6 vegetation indices of RVI, NDVI, EVI, VARI, NPCI and NRI were better correlated with nitrogen content in the vegetation index based on GF-1 satellite multispectral imaging. The best inversion model of nitrogen content in apple canopy layer is the multivariate stepwise regression (MSR) model: Nc = 35.74– 41.978^*NPCI-10.78^*NDVI. The R^2 and RMSE of the model was 0.69 and 1.07. The spatial inversion of nitrogen content in apple orchard canopy was obtained. This study provided theoretical basis and technical support for large-area rapid monitoring of regional fruit tree nutrients. | Shujing Cao Xicun Zhu Jingling Xiong Ruiyang Yu Xueyuan Bai uanmao Jiang Dongsheng Gao Guijun Yang | 2019 | 遥感科学(中英文版)2019，7，1： | 0 |
| 4 | Neuritin affects the activity of neuralized-like 1 by promoting degradation and weakening its affinity for substrate显示文摘Neuritin plays a key role in neural development and regeneration by promoting neurite outgrowth and synapse maturation.Our previous research revealed the mechanism by which neuritin inhibits Notch signaling through interaction with neuralized-like 1(Neurl1)to promote neurite growth.However,how neuritin regulates Notch signaling through Neurl1 has not been elucidated.Here,we first confirm that neuritin is an upstream regulator of Neurl1 and inhibits Notch signaling through Neurl1.Neurl1 is an E3 ubiquitin ligase that can promote ubiquitination and endocytosis of the Notch1 ligand Jagged1.Therefore,we observe the effect of neuritin on the ligase activity of Neurl1.The results indicate that neuritin inhibits Neurl1 activity by reducing the ubiquitination level and endocytosis of the target protein Jagged1.Moreover,we find that decreased activity of Neurl1 results in reduced expression of Notch receptor Notch intracellular domain(NICD)and downstream target gene hairy and enhancer of split-1(HES1).Furthermore,we investigate how neuritin affects Neurl1 enzyme activity.The results show that neuritin not only weakens the affinity between Neurl1 and Jagged1 but also promotes the degradation of Neurl1 by the 26S proteasome pathway.Taken together,our results suggest that neuritin negatively regulates Notch signaling by inhibiting the activity of Neurl1,promoting the degradation of Neurl1 and weakening the affinity of Neurl1 for Jagged1.Our study clarifies the molecular mechanisms of neuritin in regulating the Notch signaling pathway and provides new clues about how neuritin mediates neural regeneration and plasticity. | Jingling Zhu Yu Li Chen Zhong Meiyi Zhu Yan Zheng Anying Xiong Pingping Meng Liya Shan Yang Li Jin Huang | 2023 | Acta Biochimica et Biophysica Sinica2023，55，10： | 0 |
| 5 | Nitrogen Estimation Model of Apple Leaves Based on Imaging Spectroscopy显示文摘Imaging spectrometer was used to measure the spectral data of apple leaves.The spectral reflectance of apple leaves was extracted.The nitrogen content of apple leaves was correlated with the spectral reflectance after SG smoothing first-order differential treatment.The sensitive wavelengths were selected and nitrogen content prediction models were founded.The results showed that the spectral of apple leaves with different concentration gradients were obvious.The higher nitrogen content was,the lower spectral reflectance was.Established estimation models by using the selected SG smooth first-order differential spectral sensitive wavelengths SG-FDR403,SG-FDR469,SG-FDR525,SG-FDR566,SG-FDR650,SG-FDR696,SG-FDR781,SG-FDR851,SG-FDR933.The determined coefficient(R^2)of the partial least squares model was 0.5202.The root mean square error(RMSE)of that was 2.19 and the relative error(RE)of that was 5.89%.The R^2 of the support vector machine(SVM)model was 0.724.The RMSE of that was 1.94,and the RE of that was 5.13%.It is indicated that the SVM model can estimate the nitrogen content of apple leaves effectively. | Xin Wen Xicun Zhu Shujing Cao Xiaoyan Guo Ruiyang Yu Jingling Xiong Dongsheng Gao | 2018 | 遥感科学(中英文版)2018，6，1： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员