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| 1 | Constraining the stepwise migration of the eastern Tibetan Plateau margin by apatite fission track thermochronology显示文摘Granites sampled from Garzê-Litang thrust, Longmen Shan thrust, Garzê and Litang strike-slip faults in the eastern Tibetan Plateau have been analyzed with apatite fission track thermochronological method in this study. The measured fission track apparent ages, combined with the simulated annealing mod- eling of the thermal history, have been used to reconstruct the thermal evolutionary histories of the samples and interpret the active history of the thrusts and faults in these areas. Thermal history mod- eling shows that earlier tectonic cooling occurred in the Garzê-Litang thrust in Miocene (~20―16 Ma) whereas the later cooling occurred mainly in the Longmen Shan thrust since ~5 Ma. Our study sug- gests that the margin of eastern Tibetan Plateau was extended by stages: through strike-slip faults deformations and related thrusts, the upper crust formed the Garzê-Litang margin in the Miocene epoch and then moved to the Longmen Shan margin since ~5 Ma. During this process, the deformations of different phases in the eastern Tibetan Plateau were absorbed by the thrusts within them and conse- quently the tectonic events of long-distance slip and extrusion up to hundreds of kilometers have not been found. | LAI QingZhou DING Lin WANG HongWei YUE YaHui CAI FuLong | 2007 | Science China Earth Sciences2007，50，2： | 24 |
| 2 | Postcollisional calc-alkaline lavas and xenoliths from the southern Qiangtang terrane, central Tibet显示文摘 | Lin Ding Paul Kapp Yahui Yue Qingzhou Lai | 2006 | Earth and Planetary Science Letters2006，，1： | 1 |
| 3 | Study on quality components and sleep-promoting effect of GABA Maoyecha tea显示文摘 | Chunlan Wu Yahui Huang Xingfei Lai Ronghui Lai Wenxia Zhao Min Zhang Wenfang Zhao | 2014 | Journal of Functional Foods2014，，： | 1 |
| 4 | Ethyl Acetate Fraction in Hedyotis Diffusa Willd Inhibits T Cell Proliferation to Improve the Pathogenesis of Systemic Lupus Erythematosus显示文摘Background:Abnormal proliferation of T cells plays an essential role in the pathogenesis of Systemic lupus erythematosus(SLE).The pharmaceutical effect of Hedyotis Diffusa Willd(HDW)on SLE has been investigated previously.Nevertheless,the biomedical mechanism is still left unclear.Objective:This study has been arranged to evaluate the therapeutic effect of the ethyl acetate fraction of HDW(EAHDW)on lupus mice and explore the potential therapeutic mechanism.Methods:EAHDW was prepared with 80%ethanol reflex extraction followed by successive extraction,and ana-lyzed with HPLC and UPLC-Q/TOP-MS.The potential targets and STAT3 affinity regulators were predicted with network pharmacology.The pharmaceutic effect of EAHDW was studied with MRL/lpr mice.Cytokines and au-toantibodies were quantified with ELISA assays.The pathological damage of glomerulus and STAT3 expression in the kidney was detected with histochemical and immunohistochemical techniques.The cell cycle properties in cell proliferation were identified with the flow cytometry.The western blot and dual-Luciferase reporter assay were applied to evaluate translational and transcriptional activity of STAT3,respectively.Results:In this study,the extraction ratio of EAHDW was 2.7±1%,in which 19 ingredients were identified.Network pharmacological analysis showed that the target genes of EAHDW were highly focused on influencing the abnormal T cell proliferation in SLE.EAHDW showed the beneficial effects on pathological changes and STAT3 expression in the glomerulus of lupus mice,and the levels of cytokines and autoantibodies in serum.In cytological study,EAHDW treatment attenuated the transcription and phosphorylation of STAT3,which inhibited T cell proliferation by prolonged S-phase of the cell cycle.A total of 5 compounds in EAHDW exhibited high docking affinity to the DNA-binding site of STAT3.Conclusion:EAHDW could reduce the inflammatory response and inhibit the proliferation of T cells by interfering with the STAT3 signaling pathway,thereby playing a therapeutic effect on SLE. | Yahui Lai JinJun Ji Ying Li Jingqun Liu Xinhui Lan Weihong Ge Li Xu Yongsheng Fan Bin Ding | 2021 | Clinical Complementary Medicine and Pharmacology2021，1，1： | 0 |
| 5 | CTGNet: Automatic Analysis of Fetal Heart Rate from Cardiotocograph Using Artificial Intelligence显示文摘Objective:This study investigates the efficacy of analyzing fetal heart rate(FHR)signals based on Artificial Intelligence to obtain a baseline calculation and identify accelerations/decelerations in the FHR through electronic fetal monitoring during labor.Methods:A total of 43,888 cardiotocograph(CTG)records of female patients in labor from January 2012 to December 2020 were collected from the NanFang Hospital of Southern Medical University.After filtering the data,2341 FHR records were used for the study.The ObVue fetal monitoring system,manufactured by Lian-Med Technology Co.Ltd.,was used to monitor the FHR signals for these pregnant women from the beginning of the first stage of labor to the end of delivery.Two obstetric experts together annotated the FHR signals in the system to determine the baseline as well as accelerations/decelerations of the FHR.Our cardiotocograph network(CTGNet)as well as traditional methods were then used to automatically analyze the baseline and acceleration/deceleration of the FHR signals.The results of calculations were compared with the annotations provided by the obstetric experts,and ten-fold cross-validation was applied to evaluate them.The root-mean-square difference(RMSD)between the baselines,acceleration F-measure(Acc.F-measure),deceleration F-measure(Dec.F-measure),coefficient of synthetic inconsistency(SI)and the morphological analysis discordance index(MADI)were used as evaluation metrics.The data were analyzed by using a pairedt-test.Results:The proposed CTGNet was superior to the best traditional method,proposed by Mantel,in terms of the RMSD.BL(1.7935±0.8099vs.2.0293±0.9267,t=-3.55,P=0.004),Acc.F-measure(86.8562±10.9422vs.72.2367±14.2096,t=12.43,P<0.001),Dec.F-measure(72.1038±33.2592vs.58.5040±38.0276,t=4.10,P<0.001),SI(34.8277±20.9595vs.54.8049±25.0265,t=-9.39,P<0.001),and MADI(3.1741±1.9901vs.3.7289±2.7253,t=-2.74,P=0.012).The proposed CTGNet thus had significant advantages over the best traditional method on all evaluation metrics.Conclusion:The proposed Artificial Intelligence-based method CTGNet delivers good performance in terms of the automatic analysis of FHR based on cardiotocograph data.It promises to be a key component of smart obstetrics systems of the future. | Mei Zhong Hao Yi Fan Lai Mujun Liu Rongdan Zeng Xue Kang Yahui Xiao Jingbo Rong Huijin Wang Jieyun Bai Yaosheng Lu | 2022 | Maternal-Fetal Medicine2022，4，2： | 0 |
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