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An Inter-Shaft Bearing Fault Diagnosis Dataset from an Aero-Engine System

Journal of Dynamics, Monitoring and Diagnostics 2023年第4期2卷 228-242页

作者： Lei Hou Haiming yi yuhong Jin Min Gui Lianzheng Sui Jianwei Zhang Yushu Chen School of Astronautics Harbin Institute of TechnologyHarbin 150001China Factory of Xiangyang Hangtai Power Machinery Xiangyang 441000China

In this paper,the aero-engine test with inter-shaft bearing fault is carried out,and a dataset is proposed for the first time based on the vibration signal of rotors and ***,a test rig based on a real aero-engine is established,driven by motors and equipped with a lubricating ***,the aero-engine is disassembled and assembled following the specification process,and the inter-shaft bearing with artificial fault is ***,the aero-engine test is conducted at 28 groups of high-and low-pressure *** measuring points are arranged,including two displacement sensors to test the displacement vibration signals of the low-pressure rotor and four acceleration sensors to test the acceleration vibration signals of the *** test results are integrated into an inter-shaft bearing fault ***,based on the dataset in this paper,frequency spectrum,envelope spectrum,CNN,LSTM,and TST are used for fault diagnosis,and the results are compared with those of CWRU and XJTU *** results show that the characteristic fault frequency cannot be found directly in the spectrum and envelope spectrum corresponding to this paper’s dataset but in CWRU and XJTU *** CNN,LSTM,and TST for fault diagnosis of the dataset in this paper,the accuracy is 83.13%,85.41%,and 71.07%,respectively,much lower than the diagnosis results of CWRU and XJTU *** can be seen that the dataset in this paper is closer to the actual fault diagnosis situation and is a more challenging *** dataset provides a new benchmark for the validation of fault diagnosis *** data:https://***/HouLeiHIT/HIT-dataset.

关键词： aero-engine test dataset fault diagnosis inter-shaft bearing

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Role of Eclipta prostrata extract in improving spatial learning and memory deficits in D-galactose-induced aging in rats

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Journal of Traditional Chinese Medicine 2019年第5期39卷 649-657页

作者： Xia Xichao Yu Ruixue Wang Xiaowei Wei Mengwei yi Li Wang Aimei Ma yuhong Zhang Junfeng Ji Zhaohui Li Yuan Wang Qiong Medicine College of Pingdingshan University Pingdingshan 467000China Basic Medicine College Nanyang Medical UniversityNanyang 473061China

OBJECTIVE: To investigate the role of Eclipta prostrata (E. prostrata) extract in improving spatial learning and memory deficits in D-galactose-induced aging in rats. METHODS: Rats were divided into five groups, with 10 animals in each group. Aging rats were produced by treatment with 100 mg·kg-1·d-1 of D-galactose for 6 weeks. Rats in the E. prostrata treatment groups received an aqueous extract of E. prostrata orally at a concentration of 50, 100, or 200 mg·kg-1· d-1 for 3 weeks. Animals in both the normal and model groups were treated with similar volumes of saline. Spatial memory performance was measured using the Morris water maze. The mRNA levels and enzyme activities of superoxide dismutase (SOD), catalase (CAT), glutathione peroxidase (GPx) and glutathione reductase (GR) were analyzed using real- time quantitative PCR and spectrophotometry,respectively. The levels of induced nitric oxide synthase (iNOS), nitric oxide (NO), dopamine (DA), norepinephrine (NE), and serotonin (5-HT) were determined using enzyme-linked immunosorbent assay and spectrophotometry. RESULTS: Compared with the normal group, rats in the D-galactose-treated model group exhibited significant memory loss. There was severe damage to the hippocampal CA1 area, and expression levels of SOD, CAT, GPx, and GR were significantly decreased in the model group compared with the normal group. In the model group, levels of iNOS and NO were significantly increased compared with the normal group. However, treatment with E. prostrata extract reversed the conditions caused by D-galactose- induced aging, especially in the groups with higher treatment concentrations. Compared with the normal group, the levels of DA, NE, and 5-HT were significantly lower in the D-galactose-treated model group. In the E. prostrata extract-treated groups, however, there was a dose-dependent upregulation of DA, NE, and 5-HT expression. CONCLUSION: Our results suggest that administration of E. prostrata extract can result in an

关键词： Eclipta Galactose Spatial learning Memory disorders Antioxidants

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Calibration of Mars Energetic Particle Analyzer (MEPA)

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Earth and Planetary Physics 2020年第4期4卷 355-363页

作者： ShuWen Tang yi Wang HongYun Zhao Fang Fang yi Qian YongJie Zhang HaiBo Yang CunHui Li Qiang Fu Jie Kong XiangYu Hu Hong Su ZhiYu Sun yuhong Yu BaoMing Zhang Yu Sun ZhiPeng Sun Institute of Modern Physics Chinese Academy of SciencesLanzhou 730000China Science and Technology on Vacuum Technology and Physics Laboratory Lanzhou Institute of PhysicsLanzhou 730000China University of Chinese Academy of Sciences Beijing 100049China Key Laboratory of Lunar and Deep Space Exploration National Astronomical ObservatoriesChinese Academy of SciencesBeijing 100012China National Space Science Center Chinese Academy of SciencesBeijing 100190China

The first Mars exploration mission of China(Tianwen-1)is scheduled to be launched in 2020;a charged particle telescope,the Mars Energetic Particle Analyzer(MEPA),is carried as one of the payloads on the *** MEPA is designed to measure solar energetic particles(SEPs)and galactic cosmic rays(GCRs)in the near-Mars space and in the transfer orbit from Earth to *** the launch,the MEPA was calibrated in ground experiments with radioactive sources,electronic pulses,and accelerator *** calibration parameters,such as energy conversion constants,threshold values for the triggers,and particle identification criteria,were determined and have been stored for onboard *** validity of the calibration parameters has been verified with radioactive sources and *** calibration results indicate that the MEPA can measure charged particles reliably,as designed,and that it can satisfy the requirements of the Tianwen-1 mission.

关键词： Mars Tianwen-1 MEPA calibration

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PM_(2.5)-Metabolic Syndrome Causal Association:A Mendelian Randomization Study

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Biomedical and Environmental Sciences 2024年第12期37卷 1421-1426页

作者： Fan Ding Ning Ma Shi Zhao Qingan Wang Zhanbing Ma yuhong Zhang yi Zhao Yu Zhao School of Public Health Ningxia Medical UniversityYinchuan 750004NingxiaChina NHC Key Laboratory of Metabolic Cardiovascular Diseases Research Ningxia Medical UniversityYinchuan 750004NingxiaChina Ningxia Key Laboratory of Environmental Factors and Chronic Disease Control Yinchuan Ningxia 750004NingxiaChina Centre for Health Systems and Policy Research Chinese University of Hong KongHong Kong 99907China CUHK Shenzhen Research Institute Shenzhen 518000GuangdongChina School of Basic Medicine Ningxia Medical UniversityYinchuan 750001NingxiaChina

Metabolic syndrome(MS)is a common metabolic disorder status and defined as a pathology characterized by abdominal obesity,insulin resistance,hypertension,and hyperlipidemia(atherosclerosis)status[1].Evidence suggests that the underlying etiology of MS is multifactorial and includes environmental factors,tobacco use,high alcohol consumption,dietary risks,and low physical ***,a deeper understanding of MS and its risk factors will be beneficial for mitigating health damage and improving the quality of life in high-risk ***_(2.5)is an important environmental pollutant,poses a serious threat to human health,and is associated with various health *** epidemiological studies have shown that exposure to PM_(2.5)may influence the development of diabetes[2],cardiovascular disease,obesity,and *** evidence also suggests that the components of MS are sensitive to environmental pollutants,especially PM_(2.5).However,most of them were observational studies or literature analyses based on epidemiology。

关键词： Metabolic epidemiology obesity

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Two forms of the membrane-bound state of the first C2 domain (C2A) of synaptotagminⅠand calcium-triggered membrane insertion

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Chinese Science Bulletin 2003年第17期48卷 1822-1827页

作者： HE yuhong, LI Xianghui, WANG Fu, XUE yi & SUI Senfang Department of Biological Sciences & Biotechnology, State Key Labora-tory of Biomembrane, Tsinghua University, Beijing 100084, China Department of Biological Sciences & Biotechnology State Key Laboratory of Biomembrane Tsinghua University Beijing 100084 China

The synaptic vesicle protein synaptotagminⅠ (sytⅠ) is a vesicle transmembrane protein present in synap-tic vesicles, which has been proposed as the Ca2+ sensor that regulates secretion. The C2A domain is the membrane proximal part of its cytoplasmic domain. The interaction between C2A and lipid bilayer has been considered to be essential for triggering neurotransmitter release. In the pre-sent work, the measurements of membrane surface tension and surface concentration showed that the C2A domain of sytⅠexhibited two membrane-bound states: the surface adsorption state and the membrane insertion state. The sur-face absorption state formed in a Ca2+-independent manner with lower affinity, while the membrane insertion state formed with high affinity was only found in the presence of Ca2+. Both the Ca2+-independent and Ca2+-dependent sytⅠ- membrane interactions required anionic phospholipids, such as phosphatidylserine (PS). When expressed into rat pheo-chromocytoma (PC12) cells and human embryonic kidney (HEK-293) cells, as demonstrated by immunofluorescence staining and subcellular fractionation, most of the C2A was found at the plasma membrane, even when the cells were depleted of Ca2+ by incubation with EGTA. These results suggested a new molecular mechanism of sytⅠas a Ca2+ sensor in membrane fusion. Ca2+-independent surface ad-sorption might attach sytⅠto the release site during the docking or priming step. When intracellular Ca2+ increased, sytⅠtriggered the neurotransmitter release following the Ca2+-dependent penetration into the target membrane.

关键词：突触小泡蛋白质膜贯通蛋白质钙离子薄膜插入 C2A 薄膜边界状态

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流体渗透系数对饱和土中桩基础阻抗函数的影响

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西安交通大学学报 2001年第4期34卷 407-410页

作者：张玉红黄义佛山大学土木工程与建筑系佛山528000 西安建筑科技大学基础课部

用间接边界元法对饱和土中桩基础阻抗函数进行了分析 .由桩基础与饱和土交界面处的协调条件和平衡条件 ,建立了桩基础与饱和土动力相互作用的控制方程 ,探讨了饱和土中流体渗透系数对饱和土中桩基础阻抗函数的影响 .结果表明 :饱和土中... 详细信息

用间接边界元法对饱和土中桩基础阻抗函数进行了分析 .由桩基础与饱和土交界面处的协调条件和平衡条件 ,建立了桩基础与饱和土动力相互作用的控制方程 ,探讨了饱和土中流体渗透系数对饱和土中桩基础阻抗函数的影响 .结果表明 :饱和土中孔隙流体对饱和土中桩基础阻抗函数有一定的影响 ,由于饱和土中孔隙流体与土骨架的相互作用 ,饱和土中桩基础的动力阻抗与单相土介质中桩基础的动力阻抗有一定差别 .

关键词：饱和土桩基础动力相互作用阻抗函数流体渗透系数动力阻抗

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Genome-wide analysis identified 17 new loci influencing intraocular pressure in Chinese population

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Science China(Life Sciences) 2019年第2期62卷 153-164页

作者： Lulin Huang yuhong Chen ying Lin Pancy O.S.Tam yilian Cheng yi Shi Bo Gong Fang Lu Jialiang Yang Haixin Wang yi yin Yong Cao Dan Jiang Ling Zhong Bai Xue Jing Wang Fang Hao Dean-Yao Lee Chi-Pui Pang Xinghuai Sun Zhenglin Yang The Key Laboratory for Human Disease Gene Study of Sichuan Province Sichuan Provincial People's Hospital School of MedicineUniversity of Electronic Science and Technology of China Institute of Chengdu Biology Sichuan Translational Medicine Hospital Chinese Academy of Sciences Department of Ophthalmology Visual Science Eye and ENT Hospital Shanghai Medical School Fudan University Department of Ophthalmology and Visual Sciences The Chinese University of Hong Kong Department of Ophthalmology Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital

Intraocular pressure(IOP) is a major risk factor for glaucoma. Genetic determinants of intraocular pressure can provide critical insights into the genetic architecture of glaucoma and, as a result, open new avenues for therapeutic intervention. We performed a genome-wide association study and replication analysis of 8,552 Chinese participants. In the genome-wide association study, we identified 51 loci that surpassed the significance of P<9×10^(-7), and we formally replicated these loci. A combined discovery and replication meta-analysis identified 21 genome-wide loci that surpassed the genome-wide significance of P<5×10^(-8), including 4 previously reported loci: rs145063132(7 p21.2, ETV1/DGKB), rs548030386(7 q31.2, ST7 near CAV1/CAV2), rs7047871(9 p24.2, GLIS3), and rs2472494(9 q31.1, ABCA1/SLC44 A1). Of the 17 newly identified loci, five were reported to have ocular related phenotypes: PTCH2(rs7525308 in 1 p34.1), LRIF1/DRAM2(rs1282146 in 1 p13.3), COLEC11(rs201143466 in 2 p25.3),SPTBN1(rs4514918 in 2 p16.2), and CRK(rs11078446 in 17 p13.3). The genetic loci identified in this study not only increase our understanding of the genes involved in intraocular pressure but also provide important genetic markers to improve future genetic screening and drug discovery for intraocular pressure disorders.

关键词： intraocular pressure glaucoma genome-wide association study

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级联双相位密码系统中基于位置复用的双图像加密

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光学学报 2023年第9期43卷 66-77页

作者：秦怡万玉红巩琼北京工业大学理学部北京100124 南阳师范学院机电工程学院河南南阳473061

级联双相位密码(CDPE)系统是一种包含两个纯相位板(密文板和密钥板)的重要光学密码系统,为了提升该系统的加密效率,提出一种双图像加密方法。加密时,将密钥板的轴向距离作为控制参数,提出一种新的迭代加密算法,该算法可将两幅明文图像... 详细信息

级联双相位密码(CDPE)系统是一种包含两个纯相位板(密文板和密钥板)的重要光学密码系统,为了提升该系统的加密效率,提出一种双图像加密方法。加密时,将密钥板的轴向距离作为控制参数,提出一种新的迭代加密算法,该算法可将两幅明文图像加密至同一个密文板中,将传统的CDPE系统的加密效率提升了1倍。解密时,当密钥板分别处于两个设定的轴向位置时,可以在输出平面得到两幅不同的明文图像。采用数值仿真和实验验证了所提方法的有效性,并研究了密钥板两个位置之间的距离对解密结果的影响。对所提方法安全性的分析表明,所提方法对于暴力破解和选择明文攻击均具有稳健性。此外,所提方法可方便地推广至多图像加密,因此CDPE系统的加密效率可以得到进一步提升。

关键词：图像处理光学信息安全双图像加密位置复用迭代加密算法

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石油化工固体废弃物有害特性试验的研究

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石油炼制与化工 2000年第9期31卷 50-53页

作者：陈予宏李怿洛阳石化工程公司炼制所洛阳471003

通过对石油化工固体废弃物腐蚀性、可燃性、反应性、浸出毒性的有害特性的试验 ,建立了相应的实验装置和评价方法。利用该方法能够将固体废弃物分为一般固体废弃物和有毒有害固体废弃物二类 ,从而能够有针对性地研究每一种固体废弃物的... 详细信息

通过对石油化工固体废弃物腐蚀性、可燃性、反应性、浸出毒性的有害特性的试验 ,建立了相应的实验装置和评价方法。利用该方法能够将固体废弃物分为一般固体废弃物和有毒有害固体废弃物二类 ,从而能够有针对性地研究每一种固体废弃物的处理和处置方法 ,为有毒有害的固体废弃物进行无害化处理提供依据。

关键词：石油化学工业固体废物处理环境保护废弃物

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Deep learning model improves radiologists'performance in detection and classification of breast lesions

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Chinese Journal of Cancer Research 2021年第6期33卷 682-693页

作者： yingshi Sun yuhong Qu Dong Wang yi Li Lin Ye Jingbo Du Bing Xu Baoqing Li Xiaoting Li Kexin Zhang Yanjie Shi Ruijia Sun yichuan Wang Rong Long Dengbo Chen Haijiao Li Liwei Wang Min Cao Key Laboratory of Carcinogenesis and Translational Research(Ministry of Educatdon/Beijing) Department of RadiologyPeking University Cancer Hospital&InstituteBeijing 100142China Department of Radiology Beijing Chaoyang HospitalCapital Medical UniversityBeijing 100020China Key Laboratory of Machine Perception MOESchool of EECSPeking UniversityBeijing 100871China Departnient of Radiology Shunyi Women’s&Children’s Hospital of Beijing Children’s HospitalBeijing 101399China Department of Radiology Beijing Chaoyang Maternal and Child Health CenterBeijing 122099China Department of Radiology Beijing Daxing District Peopled HospitalBeijing 102699China Department of Radiology Shunyi District HospitalBeijing 101312China Department of Medical Imaging Beijing Shijingshan HospitalBeijing 100040China Center for Data Science Peking UniversityBeijing 100871China

Objective:Computer-aided diagnosis using deep learning algorithms has been initially applied in the field of mammography,but there is no large-scale clinical ***:This study proposed to develop and verify an artificial intelligence model based on ***,mammograms retrospectively collected from six centers were randomized to a training dataset and a validation dataset for establishing the ***,the model was tested by comparing 12 radiologists’performance with and without ***,prospectively enrolled women with mammograms from six centers were diagnosed by radiologists with the *** detection and diagnostic capabilities were evaluated using the freeresponse receiver operating characteristic(FROC)curve and ROC ***:The sensitivity of model for detecting lesions after matching was 0.908 for false positive rate of 0.25 in unilateral *** area under ROC curve(AUC)to distinguish the benign lesions from malignant lesions was0.855[95%confidence interval(95%CI):0.830,0.880].The performance of 12 radiologists with the model was higher than that of radiologists alone(AUC:0.852 vs.0.805,P=0.005).The mean reading time of with the model was shorter than that of reading alone(80.18 s vs.62.28 s,P=0.032).In prospective application,the sensitivity of detection reached 0.887 at false positive rate of 0.25;the AUC of radiologists with the model was 0.983(95%CI:0.978,0.988),with sensitivity,specificity,positive predictive value(PPV),and negative predictive value(NPV)of94.36%,98.07%,87.76%,and 99.09%,***:The artificial intelligence model exhibits high accuracy for detecting and diagnosing breast lesions,improves diagnostic accuracy and saves time.

关键词： Breast cancer mammography deep learning artificial intelligence

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