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    题名 作者 年代 出处 被引量
1不同能量和营养浓度饲粮添加益生素对生长肥育猪生长性能、养分消化率、肉品质和血液指标的影响显示文摘本研究旨在测定添加益生素(枯草芽孢杆菌孢子和丁酸梭菌孢子混合物)以及不同能量和营养浓度对生长肥育猪生长性能、养分消化率和肉品质的影响。选择96头初始体重为(47.50±1.14)kg的生猪,试验期10周。Meng Q W Yan L Ao X(等) 闫轶洁(译) 2010养猪2010,,6:65
2Molecular and cellular characterization during chondrogenic differentiation of adipose tissue-derived stromal cells in vitro and cartilage formation in vivo显示文摘Lin Y Luo E Chen X Liu L Qiao J Yan Z Li Z Tang W Zheng X Tian W 2006中国生物学文摘2006,20,5:31
3Study of BESIII trigger efficiencies with the 2018 J/ψ data显示文摘Using a dedicated data sample taken in 2018 on the J/ψpeak,we perform a detailed study of the trigger efficiencies of the BESIII detector.The efficiencies are determined from three representative physics processes,namely Bhabha scattering,dimuon production and generic hadronic events with charged particles.The combined efficiency of all active triggers approaches 100%in most cases,with uncertainties small enough not to affect most physics analyses.M.Ablikim M.N.Achasov P.Adlarson S.Ahmed M.Albrecht R.Aliberti A.Amoroso M.R.An Q.An X.H.Bai Y.Bai O.Bakina R.Baldini Ferroli I.Balossino Y.Ban K.Begzsuren N.Berger M.Bertani D.Bettoni F.Bianchi J.Bloms A.Bortone I.Boyko R.A.Briere H.Cai X.Cai A.Calcaterra G.F.Cao N.Cao S.A.Cetin J.F.Chang W.L.Chang G.Chelkov D.Y.Chen G.Chen H.S.Chen M.L.Chen S.J.Chen X.R.Chen Y.B.Chen Z.J Chen W.S.Cheng G.Cibinetto F.Cossio X.F.Cui H.L.Dai X.C.Dai A.Dbeyssi R.E.de Boer D.Dedovich Z.Y.Deng A.Denig I.Denysenko M.Destefanis F.De Mori Y.Ding C.Dong J.Dong L.Y.Dong M.Y.Dong X.Dong S.X.Du Y.L.Fan J.Fang S.S.Fang Y.Fang R.Farinelli L.Fava F.Feldbauer G.Felici C.Q.Feng J.H.Feng M.Fritsch C.D.Fu Y.Gao Y.Gao Y.Gao Y.G.Gao I.Garzia P.T.Ge C.Geng E.M.Gersabeck A Gilman K.Goetzen L.Gong W.X.Gong W.Gradl M.Greco L.M.Gu M.H.Gu S.Gu Y.T.Gu C.Y Guan A.Q.Guo L.B.Guo R.P.Guo Y.P.Guo A.Guskov T.T.Han W.Y.Han X.Q.Hao F.A.Harris H Hüsken K.L.He F.H.Heinsius C.H.Heinz T.Held Y.K.Heng C.Herold M.Himmelreich T.Holtmann Y.R.Hou Z.L.Hou H.M.Hu J.F.Hu T.Hu Y.Hu G.S.Huang L.Q.Huang X.T.Huang Y.P.Huang Z.Huang T.Hussain W.Ikegami Andersson W.Imoehl M.Irshad S.Jaeger S.Janchiv Q.Ji Q.P.Ji X.B.Ji X.L.Ji H.B.Jiang X.S.Jiang J.B.Jiao Z.Jiao S.Jin Y.Jin T.Johansson N.Kalantar-Nayestanaki X.S.Kang R.Kappert M.Kavatsyuk B.C.Ke I.K.Keshk A.Khoukaz P.Kiese R.Kiuchi R.Kliemt L.Koch O.B.Kolcu B.Kopf M.Kuemmel M.Kuessner A.Kupsc M.G.Kurth W.Kühn J.J.Lane J.S.Lange P.Larin A.Lavania L.Lavezzi Z.H.Lei H.Leithoff M.Lellmann T.Lenz C.Li C.H.Li Cheng Li D.M.Li F.Li G.Li H.Li H.Li H.B.Li H.J.Li J.L.Li J.Q.Li J.S.Li Ke Li L.K.Li Lei Li P.R.Li S.Y.Li W.D.Li W.G.Li X.H.Li X.L.Li Z.Y.Li H.Liang H.Liang H.Liang Y.F.Liang Y.T.Liang L.Z.Liao J.Libby C.X.Lin B.J.Liu C.X.Liu D.Liu F.H.Liu Fang Liu Feng Liu H.B.Liu H.M.Liu Huanhuan Liu Huihui Liu J.B.Liu J.L.Liu J.Y.Liu K.Liu K.Y.Liu Ke Liu L.Liu M.H.Liu P.L.Liu Q.Liu Q.Liu S.B.Liu Shuai Liu T.Liu W.M.Liu X.Liu Y.Liu Y.B.Liu Z.A.Liu Z.Q.Liu X.C.Lou F.X.Lu H.J.Lu J.D.Lu J.G.Lu X.L.Lu Y.Lu Y.P.Lu C.L.Luo M.X.Luo b P.W.Luo T.Luo X.L.Luo S.Lusso X.R.Lyu F.C.Ma H.L.Ma L.L.Ma M.M.Ma Q.M.Ma R.Q.Ma R.T.Ma X.X.Ma X.Y.Ma F.E.Maas M.Maggiora S.Maldaner S.Malde Q.A.Malik A.Mangoni Y.J.Mao Z.P.Mao S.Marcello Z.X.Meng J.G.Messchendorp G.Mezzadri T.J.Min R.E.Mitchell X.H.Mo Y.J.Mo N.Yu.Muchnoi H.Muramatsu S.Nakhoul Y.Nefedov F.Nerling I.B.Nikolaev Z.Ning S.Nisar S.L.Olsen Q.Ouyang S.Pacetti X.Pan Y.Pan A.Pathak P.Patteri M.Pelizaeus H.P.Peng K.Peters J.Pettersson J.L.Ping R.G.Ping R.Poling V.Prasad H.Qi H.R.Qi K.H.Qi M.Qi T.Y.Qi T.Y.Qi S.Qian W.-B.Qian Z.Qian C.F.Qiao L.Q.Qin X.S.Qin Z.H.Qin J.F.Qiu S.Q.Qu K.H.Rashid K.Ravindran C.F.Redmer A.Rivetti V.Rodin M.Rolo G.Rong Ch.Rosner M.Rump H.S.Sang A.Sarantsev Y.Schelhaas C.Schnier K.Schoenning M.Scodeggio D.C.Shan W.Shan X.Y.Shan J.F.Shangguan M.Shao C.P.Shen P.X.Shen X.Y.Shen H.C.Shi R.S.Shi X.Shi X.D Shi W.M.Song Y.X.Song S.Sosio S.Spataro K.X.Su P.P.Su F.F.Sui G.X.Sun H.K.Sun J.F.Sun L.Sun S.S.Sun T.Sun W.Y.Sun X Sun Y.J.Sun Y.K.Sun Y.Z.Sun Z.T.Sun Y.H.Tan Y.X.Tan C.J.Tang G.Y.Tang J.Tang J.X.Teng V.Thoren I.Uman B.Wang C.W.Wang D.Y.Wang H.J.Wang H.P.Wang K.Wang L.L.Wang M.Wang M.Z.Wang Meng Wang W.Wang W.H.Wang W.P.Wang X.Wang X.F.Wang X.L.Wang Y.Wang Y.D.Wang Y.F.Wang Y.Q.Wang Y.Y.Wang Z.Wang Z.Y.Wang Ziyi Wang Zongyuan Wang D.H.Wei P.Weidenkaff F.Weidner S.P.Wen D.J.White U.Wiedner G.Wilkinson M.Wolke L.Wollenberg J.F.Wu L.H.Wu L.J.Wu X.Wu Z.Wu L.Xia H.Xiao S.Y.Xiao Z.J.Xiao X.H.Xie Y.G.Xie Y.H.Xie T.Y.Xing G.F.Xu Q.J.Xu W.Xu X.P.Xu F.Yan L.Yan W.B.Yan W.C.Yan Xu Yan H.J.Yang H.X.Yang L.Yang S.L.Yang Y.X.Yang Yifan Yang Zhi Yang M.Ye M.H.Ye J.H.Yin Z.Y.You B.X.Yu C.X.Yu G.Yu J.S.Yu T.Yu C.Z.Yuan L.Yuan X.Q.Yuan Y.Yuan Z.Y.Yuan C.X.Yue A.Yuncu A.A.Zafar Y.Zeng B.X.Zhang Guangyi Zhang H.Zhang H.H.Zhang H.Y.Zhang J.J.Zhang J.L.Zhang J.Q.Zhang J.W.Zhang J.Y.Zhang J.Z.Zhang Jianyu Zhang Jiawei Zhang L.Q.Zhang Lei Zhang S.Zhang S.F.Zhang Shulei Zhang X.D.Zhang X.Y.Zhang Y.Zhang Y.H.Zhang Y.T.Zhang Yan Zhang Yao Zhang Yi Zhang Z.H.Zhang Z.Y.Zhang G.Zhao J.Zhao J.Y.Zhao J.Z.Zhao Lei Zhao Ling Zhao M.G.Zhao Q.Zhao S.J.Zhao Y.B.Zhao Y.X.Zhao Z.G.Zhao A.Zhemchugov B.Zheng J.P.Zheng Y.Zheng Y.H.Zheng B.Zhong C.Zhong L.P.Zhou Q.Zhou X.Zhou X.K.Zhou X.R.Zhou A.N.Zhu J.Zhu K.Zhu K.J.Zhu S.H.Zhu T.J.Zhu W.J.Zhu W.J.Zhu Y.C.Zhu Z.A.Zhu B.S.Zou J.H.Zou 2021Chinese Physics C2021,45,2:33
4An ABA-mimicking ligand that reduces water loss and promotes drought resistance in plants显示文摘Abscisic 酸(骆驼毛的织物) 是最重要的荷尔蒙让植物抵抗干旱和另外的不能生活的压力。骆驼毛的织物直接绑在骆驼毛的织物受体的 PYR/PYL 家庭,导致类型 2C 磷酸酶(PP2C ) 和下游的骆驼毛的织物发信号的激活的抑制。骆驼毛的织物由小分子发信号的干预能帮助植物克服象干旱,寒冷和土壤咸度那样的不能生活的压力,这被想象。然而,由植物酶的化学不稳定性和快速的分解代谢限制骆驼毛的织物本身的实际申请。这里,我们报导一件小分子骆驼毛的织物的鉴定模仿(AM1 ) 那充当骆驼毛的织物受体的家庭的多重成员的有势力使活跃之物。在 Arabidopsis, AM1 激活高度类似于由骆驼毛的织物导致了那的一个基因网络。有 AM1 的处理禁止种子萌芽,阻止叶水损失,并且支持干旱抵抗。我们与 PYL2 骆驼毛的织物受体和 HAB1 PP2C 在建筑群解决了 AM1 的水晶结构,它表明 AM1 调停交往的 gate-latch-lock 网络,在骆驼毛的织物界限 receptor/PP2C 建筑群被保存的一个结构的特征。一起,这些结果证明一件单个小分子骆驼毛的织物模仿能激活多重骆驼毛的织物受体并且保护植物免受水损失和干旱应力的伤害。而且, AM1 复杂水晶结构为设计 ABA-mimicking 小分子的下一代提供一个结构的基础。Minjie Cao Xue Liu Yan Zhang Xiaoqian Xue X EdwardZhou Karsten Melcher Pan Gao Fuxing Wang Liang Zeng Yang Zhao Pan Deng Dafang Zhong Jian-Kang Zhu H Eric Xu Yong Xu 2013Cell Research2013,23,8:17
5A Deep Learning Approach for Fault Diagnosis of Induction Motors in Manufacturing显示文摘Extracting features from original signals is a key procedure for traditional fault diagnosis of induction motors, as it directly influences the performance of fault recognition. However, high quality features need expert knowledge and human intervention. In this paper,a deep learning approach based on deep belief networks(DBN) is developed to learn features from frequency distribution of vibration signals with the purpose of characterizing working status of induction motors. It combines feature extraction procedure with classification task together to achieve automated and intelligent fault diagnosis. The DBN model is built by stacking multiple-units of restricted Boltzmann machine(RBM), and is trained using layer-bylayer pre-training algorithm. Compared with traditional diagnostic approaches where feature extraction is needed,the presented approach has the ability of learning hierarchical representations, which are suitable for fault classification, directly from frequency distribution of the measurement data. The structure of the DBN model is investigated as the scale and depth of the DBN architecture directly affect its classification performance. Experimental study conducted on a machine fault simulator verifies the effectiveness of the deep learning approach for fault diagnosis of induction motors. This research proposes an intelligent diagnosis method for induction motor which utilizes deep learning model to automatically learn features from sensor data and realize working status recognition.Si-Yu Shao Wen-Jun Sun Ru-Qiang Yan Peng Wang Robert X Gao 2017Chinese Journal of Mechanical Engineering2017,30,6:17
6Multilineage differentiation of adipose-derived stromal cells from GFP transgenic mice显示文摘Lin Y Chen X Yan Z Liu L Tang W Zheng X Li Z Qiao J Li S Tian W 2006中国生物学文摘2006,20,5:16
7A delivery strategy for rotenone microspheres in an animal model of Parkinson's disease.显示文摘Huang J Liu H Gu W Yan Z Xu Z Yang Y Zhu X Li Y 2006中国生物学文摘2006,20,9:16
8Differential secretome analysis reveals CST6 as a suppressor of breast cancer bone metastasis显示文摘骨头转移从疾病是乳癌的经常的复杂并发症和病态和死亡的一个普通原因。在转移期间,分泌蛋白质在在癌症房间和主人基质之间的相互作用起关键作用。为了描绘分泌蛋白质,那与乳癌骨头转移被联系,我们比较四个 MDA-MB-231 (MDA231 ) 衍生物房间的 secretomes 的没有标签的 proteomic 分析与骨头转移的改变的能力衬里的 preformed。128 蛋白质的一个总数被发现是一致地在骨头回归线癌症房间的调节媒介的 up-/down-regulated。改变的蛋白质的充实的分子的函数包括了受体绑定和 peptidase 抑制。通过乳癌房间的另外的 transcriptomic 分析,我们选择了 cystatin E/M (CST6 ) ,在骨头变形的房间下面调整的一个半胱氨酸朊酶禁止者,为进一步功能的研究。我们的结果证明 CST6 压制了乳癌房间的增长,殖民地形成,迁居和侵略。对癌症房间活动性的镇压功能被癌症执行导出房间的可溶的 CST6。更重要地,在癌症房间的 CST6 的宫外的表示在动物学习救了老鼠免于公开 osteolytic 转移和死亡,当时 CST6 击倒的显著地提高的癌症房间骨头转移和弄短的动物幸存。总的来说,我们的学习提供了乳癌骨头向性的全身的 secretome 分析并且作为乳癌 osteolytic 转移的真正的 suppressor 建立了分泌 CST6。Lei Jin Yan Zhang Hui Li Ling Yao Da Fu Xuebiao Yao Lisa X Xu Xiaofang Hu Guohong Hu 2012Cell Research2012,22,9:15
9Hepatitis C virus in human B lymphocytes transformed by Epstein-Barr virus in vitro by in situ reverse transcriptase-polymerase chain reaction显示文摘AIM To study persistence and replication ofheltitis C virus (HCV) in patients' peripheralblood mononuclear cells (PBMC) cultured invitro.METHODS Epstein-Barr virus (EBV) was usedto transform the hepatitis C virus from a HCVpositive patient to permanent lymphoblastoidcell lines (LCL). Positive and negative HCV RNAstrands of the cultured cells and growth mediawere detected by reverse transcriptase-polymerase chain reaction ( RT-PCR ) eachmonth. Core and NS5 proteins of HCV werefurther tested using immunohistochemical SPmethod and in situ RT-PCR.RESULTS HCV RNA positive strands wereconsistently detected the cultured cells for oneyear. The negative-strand RNA in LCL cells andthe positive-strand RNA in supernatants wereobserved intermittently. Immunohistochemicalresults medicated expression of HCV NS3 and Cproteins in LCL cytoplasm mostly. The positivesignal of PCR product was dark blue and mainlylocalized to the LCL cytoplasm. The RT-PCRsignal was eliminated by overnight RNasedigestion but not DNase digestion.CONCLUSION HCV may exist and remainfunctional in a cultured cell line for a longperiod.Ji Lin Cheng Bao Ling Liu Yi Zhang Wen Bin Tong Zheng Yan Bai Fang Feng Institute of Hepatology,Peoples Hospital,Medical Center of Beijing University,Beijing 10(X)44,China 2001World Journal of Gastroenterology2001,7,3:11
10Abnormal subchondral bone remodeling and its association with articular cartilage degradation in knees of type 2 diabetes patients显示文摘Type 2 diabetes(T2 D) is associated with systemic abnormal bone remodeling and bone loss. Meanwhile,abnormal subchondral bone remodeling induces cartilage degradation, resulting in osteoarthritis(OA).Accordingly, we investigated alterations in subchondral bone remodeling, microstructure and strength in knees from T2 D patients and their association with cartilage degradation. Tibial plateaus were collected from knee OA patients undergoing total knee arthroplasty and divided into non-diabetic(n = 70) and diabetes(n = 51) groups. Tibial plateaus were also collected from cadaver donors(n = 20) and used as controls.Subchondral bone microstructure was assessed using micro-computed tomography. Bone strength was evaluated by micro-finite-element analysis. Cartilage degradation was estimated using histology. The expression of tartrate-resistant acidic phosphatase(TRAP), osterix, and osteocalcin were calculated using immunohistochemistry. Osteoarthritis Research Society International(OARSI) scores of lateral tibial plateau did not differ between non-diabetic and diabetes groups, while higher OARSI scores on medial side were detected in diabetes group. Lower bone volume fraction and trabecular number and higher structure model index were found on both sides in diabetes group. These microstructural alterations translated into lower elastic modulus in diabetes group. Moreover, diabetes group had a larger number of TRAP^+ osteoclasts and lower number of Osterix^+ osteoprogenitors and Osteocalcin^+ osteoblasts. T2 D knees are characterized by abnormal subchondral bone remodeling and microstructural and mechanical impairments, which were associated with exacerbated cartilage degradation. In regions with intact cartilage the underlying bone still had abnormal remodeling in diabetes group, suggesting that abnormal bone remodeling may contribute to the early pathogenesis of T2 D-associated knee OA.Yan Chen Yong-Can Huang Chun Hoi Yan Kwong Yuen Chiu Qingjun Wei Jingmin Zhao X Edward Guo Frankie Leung William W Lu 2017Bone Research2017,5,4:10
11Novel functional proteins interact with midkine in hepatic cancer cells显示文摘BACKGROUND: Midkine is a heparin-binding growth factor that promotes the proliferation, survival, migration and differentiation of various target cells. Midkine plays an important role in tumorigenesis and tumor progression, and is overexpressed in many human malignant tumors. Patients with high tumor midkine expression frequently have a worse prognosis than those with low expression. The present study was designed to investigate the interaction network of midkine in hepatic cancer cells, and to elucidate its role in hepatocellular carcinoma. METHODS: DNA encoding full-length midkine was cloned into pDBLeu vector to serve as bait in yeast two-hybrid screening to identify interacting proteins. Candidate proteins were examined on SC-Leu-Trp-His+3-AT (20 mmol/L) plates and assayed for X-gal activity, then sequenced and classified according to the GenBank. Finally, identified proteins were expressed by the in vitro expression system pCMVTnT, and protein interactions were confirmed by co-immunoprecipitation. RESULTS: Using the yeast two-hybrid system, we found 6 proteins that interacted with midkine: NK-kappa-B inhibitor alpha (I-κ-B-α), Dvl-binding protein naked cuticle 2, granulin, latent active TGF-β binding protein 3, latent active TGF-β binding protein 4, and phospholipid scramblase 1. In vitro co-immunoprecipitation demonstrated that all identified proteins directly interacted with midkine.CONCLUSION: The identification of midkine-interacting proteins in hepatic cancer cells indicates that midkine is a multifunctional factor that may participate in cell migration, differentiation, and proliferation, and is also associated with the multicellular response feedback during the development of hepatocellular carcinoma.Qiang Yan, Hui-Lian Huang, Xing Yao, Jing Li, Li-Qin Li, Jing Zhong, Li-Shan Min, Li-Cheng Dai and Shu-Sen Zheng Department of Hepatobiliary and Pancreatic Surgery, Huzhou Central Hospital (Yan Q and Yao X) Huzhou Key Laboratory of Molecular Medicine, Affiliated Central Hospital of Huzhou Teachers College (Huang HL, Li J, Li LQ, Zhong J, Min LS and Dai LC), Huzhou 313000, China Division of Hepatobiliary and Pancreatic Surgery, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China (Yan Q and Zheng SS) 2012Hepatobiliary & Pancreatic Diseases International2012,11,3:7
12Cloning of environmental genomic fragments as physical markers for monitoring microbial populations in coking wastewater treatment system显示文摘Yan X Xu ZM Feng XX Liu YD Liu BB Zhang X J Zhu CG Zhao LP 2007中国生物学文摘2007,21,8:4
13Role and pitfalls of hepatic helical multi-phase CT scanning in differential diagnosis of small hemangioma and small hepatocellular carcinoma显示文摘RoleandpitfalsofhepatichelicalmultiphaseCTscanningindiferentialdiagnosisofsmalhemangiomaandsmalhepatocelularcarcinomaYANFuH...YAN FuHua1, ZENG MengSu1 and ZHOU KangRong1Keywords liver neoplasms/radiography carcinoma, hepatocellular/radiography hemangioma/radiography diagnosis, differential tomography, Xray computed 1998World Journal of Gastroenterology1998,4,4:4
14Interleukin-10 gene polymorphisms and hepatocellular carcinoma susceptibility:A meta-analysis显示文摘AIM: To assess the association between Interleu-kin-10 (IL-10) gene IL-10-1082 (G/A), IL-10-592(C/A), IL-10-819 (T/C) polymorphisms and hepatocellular carcinoma (HCC) susceptibility.METHODS: Two investigators independently searched the Medline, Embase, China National Knowledge Infrastructure, and Chinese Biomedicine Database. Summary odds ratios (ORs) and 95% conf idence intervals (95% CIs) for IL-10 polymorphisms and HCC were cal-culated in a fixed-effects model (the Mantel-Haenszel method) and a random-effects model (the DerSimonian and Laird method) when appropriate. RESULTS: This meta analysis included seven eligiblestudies, which included 1012 HCC cases and 2308 controls. Overall, IL-10-1082 G/A polymorphism was not associated with the risk of HCC (AA vs AG + GG, OR = 1.11, 95% CI = 0.90-1.37). When stratifying for ethnicity, the results were similar (Asian, OR = 1.12, 95% CI = 0.87-1.44; non-Asian, OR = 1.10, 95% CI = 0.75-1.60). In the overall analysis, the IL-10 polymorphism at position -592 (C/A) was identified as a genetic risk factor for HCC among Asians; patients carrying the IL-10-592*C allele had an increased risk of HCC (OR = 1.29, 95% CI = 1.12-1.49). No association was observed between the IL-10-819 T/C polymorphism and HCC susceptibility (TT vs TC + CC, OR = 1.02, 95% CI = 0.79-1.32).CONCLUSION: This meta-analysis suggests that IL-10-592 A/C polymorphism may be associated with HCC among Asians. IL-10-1082 G/A and IL-10-819 T/C polymorphisms were not detected to be related to the risk for HCC.Yong-Gang Wei, Fei Liu, Bo Li, Xi Chen, Yu Ma, Lv-Nan Yan, Tian-Fu Wen, Ming-Qing Xu, Wen-Tao Wang, Jia-Yin YangYong-Gang Wei, Fei Liu, Bo Li, Xi Chen, Yu Ma, Lv-Nan Yan, Tian-Fu Wen, Ming-Qing Xu, Wen-Tao Wang, Jia-Yin Yang, Department of Liver and Vascular Surgery, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Prov- ince, China Author contributions: Wei YG and Liu F designed the study, collected and analyzed the data and wrote the manuscript Li B collected and analyzed the data and wrote the manuscript Chen X and Ma Y collected and analyzed the data Yan LN analyzed the data and contributed to the discussion Wen TF and Xu MQ revised the manuscript Wang WT and Yang JY contributed to the discussion Wei YG and Liu F contributed equally to this work. 2011World Journal of Gastroenterology2011,17,34:3
15FAILURE ANALYSIS OF PEELING PROCESS FOR TITANIUM ANODES COATINGS显示文摘FAILUREANALYSISOFPEELINGPROCESSFORTITANIUMANODESCOATINGSTangDian;ChenShiren(InstituteforMaterialsResearch,FuzhouUniversity,Fu...Tang, DA Chen, SR Lin, XA Cui, X Yan, Q 1995中国有色金属学会会刊:英文版1995,5,4:3
16First-Principles Study of Phase Stability and Mechanical Property of Co_3(Al,W) Precipitates with Different Ratio of Al to W in Co Base Alloys显示文摘The energetics, electronic structure and mechanical property of Co3(Al,W) precipitates with different ratio of Al to W in Co base alloys were investigated by the method of supercell and augmented plane waves plus local orbitals within generalized gradient approximation. The calculated results show that the L12 Co3(Al,W) precipitate is the most stable when the ratio of Al to W is equal to 1. When the content of W is higher than 18.5 at%, the L12 and hexagonal structures co-exist in Co3(Al,W) precipitates at 1173 K. It is also shown that the L12 ordered Co3(Al,W) precipitates have an obvious strengthening effect in the disordered fcc cobalt matrix.Yao Q Su X M Yan Y Zhao L W Sun J 2009稀有金属材料与工程2009,38,A03:3
17Numerical taxonomic study of fast-growing soybean rhizobia and proposal that Rhizobium fredii be assigned to Sinorhizobium gen nov显示文摘CHEN W X YAN G H LI J L 1988Int J Syst Bacteriol1988,38,:3
18Proliferation and pluripotency potential of ectomesenchymal cells derived from first branchial arch显示文摘Lin Y Yan Z Liu L Qiao J Jing W Wu L Chert X Li Z Tang W Zheng X Tian W 2006中国生物学文摘2006,20,5:3
19Overview to the Hard X-ray Modulation Telescope (Insight-HXMT) Satellite显示文摘As China’s first X-ray astronomical satellite, the Hard X-ray Modulation Telescope (HXMT), which was dubbed as Insight-HXMT after the launch on June 15, 2017, is a wide-band(1-250 ke V) slat-collimator-based X-ray astronomy satellite with the capability of all-sky monitoring in 0.2-3 Me V. It was designed to perform pointing, scanning and gamma-ray burst(GRB)observations and, based on the Direct Demodulation Method (DDM), the image of the scanned sky region can be reconstructed.Here we give an overview of the mission and its progresses, including payload, core sciences, ground calibration/facility, ground segment, data archive, software, in-orbit performance, calibration, background model, observations and some preliminary results.Shuang-Nan Zhang TiPei Li FangJun Lu LiMing Song YuPeng X u CongZhan Liu Yong Chen XueLei Cao QingCui Bu Zhi Chang Gang Chen Li Chen TianXiang Chen YiBao Chen YuPeng Chen Wei Cui WeiWei Cui JingKang Deng YongWei Dong Yuan Yuan Du MinXue Fu GuanHua Gao He Gao Min Gao MingYu Ge YuDong Gu Ju Guan Can Gungor ChengCheng Guo DaWei Han Wei Hu Yue Huang Jia Huo ShuMei Jia LuHua Jiang WeiChun Jiang Jing Jin YongJie Jin Bing Li ChengKui Li Gang Li MaoShun Li Wei Li Xian Li XiaoBo Li XuFang Li YanGuo Li ZiJian Li ZhengWei Li XiaoHua Liang JinYuan Liao GuoQing Liu HongWei Liu ShaoZhen Liu XiaoJing Liu Yuan Liu YiNong Liu Bo Lu XueFeng Lu Tao Luo Xiang Ma Bin Meng Yi Nang JianYin Nie Ge Ou JinLu Qu Na Sai RenCheng Shang GuoHong Shen Liang Sun Ying Tan Lian Tao YouLi Tuo Chen Wang ChunQin Wang GuoFeng Wang HuanYu Wang Juan Wang WenShuai Wang YuSa Wang XiangYang Wen BaiYang Wu BoBing Wu Mei Wu GuangCheng Xiao ShaoLin Xiong LinLi Yan JiaWei Yang Sheng Yang YanJi Yang QiBin Yi Bin Yuan AiMei Zhang ChunLei Zhang ChengMo Zhang Fan Zhang HongMei Zhang Juan Zhang Qiang Zhang ShenYi Zhangs Shu Zhang Tong Zhang WanChang Zhang Wei Zhang WenZhao Zhang Yi Zhang YiFei Zhang YongJie Zhang Yue Zhang Zhao Zhang Zhi Zhang ZiLiang Zhang HaiSheng Zhao XiaoFan Zhao ShiJie Zheng JianFeng Zhou YuXuan Zhu Yue Zhu RenLin Zhuang 2020Science China(Physics,Mechanics & Astronomy)2020,63,4:2
20Pathways of N 2 O emission from rice paddy soil显示文摘X Yan S Shi L Du G Xing 2000Soil Biology and Biochemistry2000,,3:2
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