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| 1 | Three dimensional velocity structure and accurate earthquake location in Changning–Gongxian area of southeast Sichuan显示文摘In order to understand the crustal structure and tectonic background of the Changning–Gongxiang area, southeastern Sichuan Province, where a series of moderate-to-strong earthquakes occurred in recent years, we utilized the seismic phase data both from a local dense array and from the regional seismic networks;we used the tomoDD program to invert for the high-resolution three-dimensional velocity structure within the depth range of 0–10 km and for accurate hypocentral locations in this area. We analyzed the seismogenic structures for the events of Xingwen M5.7 in 2018 and Gongxian M5.3 and Changning M6.0 in 2019. The results show that:(1) widespread lateral inhomogeneity exists in the velocity structure of the study area, and the location of the velocity anomaly is largely consistent with known structures. In the range of distinguishable depth, the inhomogeneity decreases with increasing depth, and the velocity structure anomalies in some areas are continuous in depth;(2) earthquakes occurred in clusters, showing the characteristics of zonal folding trends in the NW-SE and NE-SW directions;the focal depth in the area is generally shallow in both the sedimentary cap and the crystalline basement. The seismogenic structures of small earthquake clusters are different in size and occurrence in different sections, and the clusters occurred mostly in regions with high P-or S-wave velocities;(3) synthesis of a variety of data suggests that the seismogenic structures of the Xingwen M5.7 and Changning M6.0 earthquakes are associated with slip faults that trend NW-SE in, respectively, the south wing and the axis of the Changning–Shuanghe anticline, while that of the Gongxian M5.3 earthquake is associated with thrust faults that trend N-S in the Jianwu syncline region. The dynamic sources of the three earthquakes are all from the SE pushing of the Qinghai–Tibet block on the Sichuan basin;(4) the risk of future strong earthquakes in this area must be reevaluated in light of the facts(a)that in recent years, moderate-to-strong earthquake swarms have occurred frequently in southeast Sichuan;(b) that the complex structural area exhibits the easy-to-trigger characteristic, and(c) that the small-scale faults in this area are characterized by the phenomenon of stress 'lock and release'. | Feng Long ZhiWei Zhang YuPing Qi MingJian Liang Xiang Ruan WeiWei Wu GuoMao Jiang LongQuan Zhou | 2020 | Earth and Planetary Physics2020，4，2： | 13 |
| 2 | Study of ultrahigh-purity copper billets refined by vacuum melting and directional solidification显示文摘The purpose of this paper is to study large-sized copper billets refined with 5N ultrahigh purity after vacuum melting and directional solidifi-cation (VMDS). The precise impurity analysis of copper billets was carried out with a glow discharge mass spectrometer (GDMS). The re-sults demonstrate that the total concentration of twenty-two impurities is decreased by 63.1wt.%-66.5 wt.%. Ag, P, S, Na, Mg, Se, Zn, In and Bi are easy to be removed due to lgPimp - lgPCu > 1.5, and they can be removed effectively under the vacuum condition of 1650-1700 K for 30 min. The electrical conductivity of 5N copper is higher than that of the raw material as the impurity concentrations decrease. The segrega-tion effect in directional solidification can be remarkable when the equilibrium distribution coefficient (k0) value is less than 0.65 due to the strong affinity of Cu for some metallic and non-metallic impurities. | FU Yabo CHEN Jie LIU Ning LU Yiping LI Tingju YIN Guomao | 2011 | Rare Metals2011，30，3： | 6 |
| 3 | Learning rates of least-square regularized regression with polynomial kernels显示文摘This paper presents learning rates for the least-square regularized regression algorithms with polynomial kernels. The target is the error analysis for the regression problem in learning theory. A regularization scheme is given, which yields sharp learning rates. The rates depend on the dimension of polynomial space and polynomial reproducing kernel Hilbert space measured by covering numbers. Meanwhile, we also establish the direct approximation theorem by Bernstein-Durrmeyer operators in Lρ2X with Borel probability measure. | LI BingZheng WANG GuoMao | 2009 | Science China Mathematics2009，52，4： | 3 |
| 4 | Grain refinement of superalloy IN100 under the action of rotary magnetic fields and inoculants显示文摘 | Wenzhong Jin Fudong Bai Tingju Li Guomao Yin | 2007 | Materials Letters2007，，10： | 2 |
| 5 | Growth mechanism of primary Ti_(5)Si_(3) phases in special brasses and their effect on wear resistance显示文摘In the present work, in-situ Ti_(5)Si_(3) reinforced special brasses were prepared by melt reaction method. The synthesized Ti_(5)Si_(3) phase shows various morphologies in brasses with different Ti_(5)Si_(3) content, and the3 D morphological evolution of primary Ti_(5)Si_(3)and its growth mechanism were investigated. The Ti_(5)Si_(3) crystal, which bears D8_(8) hexagonal crystal structure, grows along <0001> direction and is revealed by{1010} faces during growth. With the increase of Ti_(5)Si_(3) content in the brasses, the morphology of primary Ti_(5)Si_(3)significantly changes from fibers to hexagonal prisms to short-rods with hollow. In addition,the influence of Ti_(5)Si_(3) volume fraction and morphology on the wear behavior of special brass was also revealed. It was substantiated that the wear resistance increases with the increasing volume fraction of Ti_(5)Si_(3), and the corresponding wear mechanism changes from delamination to slight adhesive wear and abrasive wear. However, the friction coefficient shows an abnormal increase when most of the Ti_(5)Si_(3) containing hollows appears in the brass. That is mainly due to the fact that the Ti_(5)Si_(3) is easier to break and fall off resulted by the hollow as a crack source, which makes it unable to resist the plastic deformation of the contact surface during the sliding. | Xianlong Wang Jinchuan Jie Shichao Liu Zhuangzhuang Dong Guomao Yin Tingju Li | 2021 | Journal of Materials Science & Technology2021，，2： | 2 |
| 6 | SJES14110700111350显示文摘 | Kesheng Wu Liang Guo Wei Xu Hengyi Xu Zoraida P. Aguilar Guomao Xu Weihua Lai Yonghua Xiong Yiqun Wan | 2014 | Talanta2014，，： | 1 |
| 7 | Title Extraction from Bodies of HTML Documents and its Application to Web Page Retrieval 显示文摘 | Yunhua Hu Guomao Xin Ruihua Song Guoping Hu Shuming Shi Yunbo Cao and Hang Li | 2005 | The 28th Annual International ACM SIGIR Conference (SIGIR''2005)2005，2005，： | 1 |
| 8 | Web page title extraction and its application 显示文摘 | Xue Yewei Hu Yunhua Xin Guomao | 2007 | Information Processing & Management2007，43，5： | 1 |
| 9 | Web Page Title Extraction and Its Application显示文摘 | Xue Yewei Hu Yunhua Xin Guomao | 2007 | Information Processing Management2007，43，5： | 1 |
| 10 | Activation of the Receptor for Advanced Glycation End Products System in Women with Severe Preeclampsia显示文摘 | Emily A. Oliver Catalin S. Buhimschi Antonette T. Dulay Margaret A. Baumbusch Sonya S. Abdel-Razeq Sarah Y. Lee Guomao Zhao Shichu Jing Christian M. Pettker Irina A. Buhimschi | 2011 | Clinical Endocrinology and Metabolism2011，，3： | 1 |
| 11 | Research on Vacuumelectromagnetic Casting of IN100 SuperaUoy Ingots 显示文摘 | Jin Wenzhong Li Tingju Yin Guomao | 2007 | Science and technology of advanced materials2007，，8： | 1 |
| 12 | Web page ti- tle extraction and its application 显示文摘 | Xue Yewei Hu Yunhua Xin Guomao | 2007 | Information Process- ing and Management2007，43，5： | 1 |
| 13 | Effect of Electromagnetic Stirring on the Quality of K417 Superalloy Ingots显示文摘The effect of electromagnetic stirring on the inner quality of K417 superalloy ingots is studied with EPMA and optical microscope.The results show that while an electromagnetic stirring with 50Hz frequency and 80A current is imposed,the equiax crystals of K417 superalloy ingots can be effectively refined and increased,and the central shrinkage porosity and the dendritic segregation of K417 superalloy ingots are greatly reduced,so the inner quality of K417 superalloy ingots is obviously improved. | Jin Wenzhong Li Tingju Yin Guomao | 2007 | 航空制造技术2007，50，z1： | 1 |
| 14 | Study on plastic behaviours of CuNi10Fe1Mn alloy tubes under cast-roll process显示文摘 | Yabo Fu Zhiming Yan Tingju Li Ping Chen Yanfeng Cheng Guomao Yin | 2009 | Materials and Design2009，，10： | 1 |
| 15 | Proteomics analysis of urine in pre eclampsia: A novel diagnosis for an old disease 显示文摘 | Buhim schiI A Guomao Z Funai | 2006 | Am J Ob- stetGyneco2006，193，6： | 1 |
| 16 | Proteomics analysis of urine in preeclampsia:A novel diagnosis for an old disease显示文摘 | Buhimschi I A Guomao Z Funai | 2006 | Am J Obstet Gynecol2006，193，6： | 1 |
| 17 | Analysis of Stock IPO Price Based on CAPM Model显示文摘In order to determine the issue price of China's nuclear construction(601985)stock,this paper established the relationship between stock return and risk premium through the capital asset pricing model,and obtains the stock return rate according to the rate of return=dividend/share price.Get the theoretical issue price of the stock.As China's nuclear construction is to apply for listing,historical data does not exist,so this article chose the same industry or situation similar to the listed companies as a reference,with the same type of enterprise listed on the performance of a rough estimate of China's nuclear IPO issue price.China's nuclear construction listed on May 27,this sample range selected from January 1,2016 to March 31,2016,selected the same industry,listed on the Shanghai Stock Exchange of China's nuclear value ofβinstead of China's nuclear constructionβvalue.To retrieve their daily rate of return data and SSE A refers to the daily rate of return data(data from the Ruisi database).The risk-free rate is selected using a three-month time deposit rate of 1.1%.According to the CAPM model,Eviews software was used for regression analysis,and the respectiveβvalues were obtained.The mean value was calculated and the predicted price of China's nuclear construction was calculated. | Chengjiao Song Guomao Tang Jiazhang Wu | 2018 | Insight-Statistics2018，1，1： | 0 |
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