|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | X protein mutations in hepatitis B virus DNA predict postoperative survival in hepatocellular carcinoma显示文摘 | Ying Xie Shufeng Liu Yue Zhao Zhanjun Guo Jinsheng Xu | 2014 | Tumor Biology2014，，10： | 3 |
| 2 | Evaluation of the chemical profile from four germplasms sources of Pruni Semen using UHPLC-LTQ-Orbitrap-MS and multivariate analyses显示文摘Pruni Semen,the seed of several unique Prunus plants,is a traditional purgative herbal material.To determine the authentic sources of Pruni Semen,46 samples from four species were collected and analyzed.Ten compounds including multiflorin A(Mul A),a notable purative compound,were isolated and identified by chemical separation and nuclear magnetic resonance spectroscopy.Seventy-six communal components were identified by ultra-high performance liquid chromatography with linear ion trap-quadrupole Orbitrap mass spectrometry,and acetyl flavonoid glycosides were recognized as characteristic constituents.The flavonoids were distributed in the seed coat and cyanogenic glycosides in the kernel.Based on this,methods for identifying Pruni Semen from different sources were established using chemical fingerprinting,quantitative analysis of the eight principal compounds,hierarchical cluster analysis,principal component analysis,and orthogonal partial least squares discriminant analysis.The results showed that the samples were divided into two categories:one is the small seeds from Prunus humilis(Ph)and Prunus japonica(Pj),and the other is the big seeds from Prunus pedunculata(Pp)and Prunus triloba(Pt).The average content of Mul A was 3.02,6.93,0.40,and 0.29 mg/g,while the average content of amygdalin was 18.5,17.7,31.5,and 30.9 mg/g in Ph,Pj,Pp,and Pt,respectively.All the above information suggests that small seeds might be superior sources of Pruni Semen.This is the first comprehensive report on the identification of chemical components in Pruni Semen from different species. | Zihan Zhao Yue Liu Yushi Zhang Zeyu Geng Rina Su Lipeng Zhou Chao Han Zhanjun Wang Shuangcheng Ma Weidong Li | 2022 | Journal of Pharmaceutical Analysis2022，12，5： | 1 |
| 3 | Automatic dectection of rib borders in chest radiographs 显示文摘 | Yue Zhanjun Goshtasby A Ackerman L V | 1995 | IEEE Transactions on Medical Imaging1995，14，3： | 1 |
| 4 | Automatic detection of rib borders in chest radiographs显示文摘 | Yue Zhanjun Gohtasby Ardeshir Ackerman Laurens V | 1995 | IEEE Transactions on Medical Imaging1995，14，3： | 1 |
| 5 | Distinct chemokines selectively induce HIV-1 gp120-integrinα4β7 binding via triggering conformer-specific activation ofα4β7显示文摘Dear Editor,Gut associated lymphoid tissue(GALT)is the principal site where human immunodeficiency virus 1(HIV-1)replicates.CD4^(+) T cells residing in GALT are predominant targets of HIV-1 during the acute phase of infection.CD4^(+) T cells expressing a high level of gut-homing receptor integrin α4β7 are more susceptible to productive infection by HIV-1. | Shu Wang ChangDong Lin Yue Li ZhaoYuan Liu JunLei Wang YouHua Zhang ZhanJun Yan YueBin Zhang GuoHui Li JianFeng Chen | 2021 | Signal Transduction and Targeted Therapy2021，6，8： | 0 |
| 6 | Spatial prediction of soil organic carbon in coal mining subsidence areas based on RBF neural network显示文摘A quantitative research on the effect of coal mining on the soil organic carbon(SOC)pool at regional scale is beneficial to the scientific management of SOC pools in coal mining areas and the realization of coal low-carbon mining.Moreover,the spatial prediction model of SOC content suitable for coal mining subsidence area is a scientific problem that must be solved.Tak-ing the Changhe River Basin of Jincheng City,Shanxi Province,China,as the study area,this paper proposed a radial basis function neural network model combined with the ordinary kriging method.The model includes topography and vegetation factors,which have large influence on soil properties in mining areas,as input parameters to predict the spatial distribution of SOC in the 0-20 and 2040 cm soil layers of the study area.And comparing the prediction effect with the direct kriging method,the results show that the mean error,the mean absolute error and the root mean square error between the predicted and measured values of SOC content predicted by the radial basis function neural network are lower than those obtained by the direct kriging method.Based on the fitting effect of the predicted and measured values,the R^(2) obtained by the radial basis artificial neural network are 0.81,0.70,respectively,higher than the value of 0.44 and 0.36 obtained by the direct kriging method.Therefore,the model combining the artificial neural network and kriging,and considering environmental factors can improve the prediction accuracy of the SOC content in mining areas. | Qiangqiang Qi Xin Yue Xin Duo Zhanjun Xu Zhe Li | 2023 | International Journal of Coal Science & Technology2023，10，2： | 0 |
| 7 | Multiscale structural design of MnO_(2)@GO superoxide dismutase nanozyme for protection against antioxidant damage显示文摘Rational design of metallic active sites and its microenvironment is critical for constructing superoxide dismutase(SOD)nanozymes.Here,we reported a novel SOD nanozyme design,with employing graphene oxide(GO)as the framework,andδ-MnO_(2)as the active sites,to mimic the natural Mn-SOD.This MnO_(2)@GO nanozyme exhibited multiscale laminated structures with honeycomb-like morphology,providing highly specific surface area for·O_(2)−adsorption and confined spaces for subsequent catalytic reactions.Thus,the nanozyme achieved superlative SOD-like catalytic performance with inhibition rate of 95.5%,which is 222.6%and 1605.4%amplification over GO and MnO_(2)nanoparticles,respectively.Additionally,such unique hierarchical structural design endows MnO_(2)@GO with catalytic specificity,which was not present in the individual component(GO or MnO_(2)).This multiscale structural design provides new strategies for developing highly active and specific SOD nanozymes. | Yue Yu Yinuo Zhang Yu Wang Wenxing Chen Zhanjun Guo Ningning Song Minmin Liang | 2023 | Nano Research2023，16，8： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员