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| 1 | Pravastatin alleviates lipopolysaccharide-induced placental TLR4 over-activation and promotes uterine arteriole remodeling without impairing rat fetal development显示文摘Preeclampsia is associated with over-activation of the innate immune system in the placenta,in which toll-like receptor 4(TLR4) plays an essential part.With their potent anti-inflammatory effects,statins have been suggested as potential prevention or treatment of preeclampsia,although evidence remains inadequate.Herewith,we investigated whether pravastatin could ameliorate preeclampsia-like phenotypes in a previously established lipopolysaccharide(LPS)-induced rat preeclampsia model,through targeting the TLR4/NF-κB pathway.The results showed that pravastatin reduced the blood pressure [maximum decline on gestational day(GD) 12,(101.33±2.49) mmHg vs.(118.3±1.37) mmHg,P<0.05] and urine protein level [maximum decline on GD9,(3,726.23± 1,572.86) μg vs.(1,991.03 ±609.37)μg,P< 0.05],which were elevated following LPS administration.Pravastatin also significantly reduced the rate of fetal growth restriction in LPS-treated rats(34.10% vs.8.99%,P<0.05).Further pathological analyses suggested a restoration of normal spiral artery remodeling in preeclampsia rats by pravastatin treatment.These effects of pravastatin were associated with decreased TLR4/NF-κB protein levels in the placenta and IL-6/MCP-1 levels in serum.Additionally,no obvious abnormalities in fetal liver,brain,and kidney were found after administration of pravastatin.These results provide supportive evidence for use of pravastatin in preventing preeclampsia. | Muyi Yang Zhenyu Diao Zhiyin Wang Guijun Yan Guangfeng Zhao Mingming Zheng Anyi Dai Yimin Dai Yali Hu | 2018 | The Journal of Biomedical Research2018，32，4： | 5 |
| 2 | Assessment of strong earthquake risk in the Chinese mainland from 2021 to 2030显示文摘The long-term earthquake prediction from 2021 to 2030 is carried out by researching the active tectonic block boundary zones in the Chinese mainland.Based on the strong earthquake recurrence model,the cumulative probability of each target fault in the next 10 years is given by the recurrence period and elapsed time of each fault,which are adopted from relevant studies such as seismological geology,geodesy,and historical earthquake records.Based on the long-term predictions of large earthquakes throughout the world,this paper proposes a comprehensive judgment scheme based on the fault segments with the seismic gap,motion strongly locked,sparse small-moderate earthquakes,and apparent Coulomb stress increase.This paper presents a comprehensive analysis of the relative risk for strong earthquakes that may occur in the coming 10 years on the major faults in the active tectonic block boundary zones in the Chinese mainland.The present loading rate of each fault is first constrained by geodetic observations;the cumulative displacement of each fault is then estimated by the elapsed time since the most recent strong earthquake. | Zhigang Shao Yanqiang Wu Lingyun Ji Faqi Diao Fuqiang Shi Yujiang Li Feng Long Hui Zhang Wuxing Wang Wenxin Wei Peng Wang Xiaoxia Liu Qi Liu Zhengyang Pan Xiaofei Yin Yue Liu Wei Feng Zhenyu Zou Jia Cheng Renqi Lu Yueren Xu Xi Li | 2023 | Earthquake Research Advances2023，3，1： | 2 |
| 3 | An HPC Based Real-time Path Rating Calculation Tool for Congestion Management with High Penetration of Renewable Energy显示文摘Every year, transmission congestion costs billions ofdollars for electricity customers. This clearly identifies the criticalneed for more transmission capacity and also poses big challengesfor power grid reliability in stressed conditions due to heavyloading and in uncertain situations due to variable renewableresources and responsive smart loads. However, it becomesincreasingly difficult to build new transmission lines, whichtypically involve both economic and environmental constraints.In this paper, advanced computing techniques are developedto enable a non-wire solution that realizes unused transfercapabilities of existing transmission facilities. An integratedsoftware prototype powered by high-performance computing(HPC) is developed to calculate ratings of key transmission pathsin real time for relieving transmission congestion and facilitatingrenewable integration, while complying with the North AmericanElectric Reliability Corporation (NERC) standards on assessingtotal transfer capabilities. The innovative algorithms include: (1)massive contingency analysis enabled by dynamic load balancing,(2) parallel transient simulation to speed up single dynamicsimulation, (3) a non-iterative method for calculating voltagesecurity boundary and (4) an integrated package consideringall NERC required limits. This tool has been tested on realisticpower system models in the Western Interconnection of NorthAmerica and demonstrates satisfactory computational speedusing parallel computers. Various benefits of real-time path ratingare investigated at Bonneville Power Administration using realtime EMS snapshots, demonstrating a significant increase in pathlimits. These technologies would change the traditional goals ofpath rating studies, fundamentally transforming how the grid isoperated, and maximizing the utilization of national transmissionassets, as well as facilitating integration of renewable energy andsmart loads. | Ruisheng Diao Zhenyu Huang Yuri V.Makarov Yousu Chen Bruce Palmer Shuangshuang Jin James Wong | 2017 | CSEE Journal of Power and Energy Systems2017，3，4： | 1 |
| 4 | Fault Detection and Recovery for Full Range of Hydrogen Sensor Based on Relevance Vector Machine显示文摘In order to improve the reliability of hydrogen sensor,a novel strategy for full range of hydrogen sensor fault detection and recovery is proposed in this paper. Three kinds of sensors are integrated to realize the measurement for full range of hydrogen concentration based on relevance vector machine( RVM). Failure detection of hydrogen sensor is carried out by using the variance detection method. When a sensor fault is detected,the other fault-free sensors can recover the fault data in real-time by using RVM predictor accounting for the relevance of sensor data. Analysis,together with both simulated and experimental results,a full-range hydrogen detection and hydrogen sensor self-validating experiment is presented to demonstrate that the proposed strategy is superior at accuracy and runtime compared with the conventional methods. Results show that the proposed methodology provides a better solution to the full range of hydrogen detection and the reliability improvement of hydrogen sensor. | Kai Song Bing Wang Ming Diao Hongquan Zhang Zhenyu Zhang | 2015 | Journal of Harbin Institute of Technology(New Series)2015，22，6： | 0 |
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