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| 1 | On adjacent-vertex-distinguishing total coloring of graphs显示文摘In this paper, we present a new concept of the adjacent-vertex-distinguishing total coloring of graphs (briefly, AVDTC of graphs) and, meanwhile, have obtained the adjacent-vertex-distinguishing total chromatic number of some graphs such as cycle, complete graph, complete bipartite graph, fan, wheel and tree. | ZHANG Zhongfu, CHEN Xiang’en, LI Jingwen, YAO Bing, LU Xinzhong & WANG Jianfang College of Mathematics and Information Science, Northwest Normal University, Lanzhou 730070, China Department of Computer, Lanzhou Normal College, Lanzhou 730070, China Institute of Applied Mathematics, Lanzhou Jiaotong University, Lanzhou 730070, China College of Information and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China Institute of Applied Mathematics, Chinese Academy of Sciences, Beijing 100080, China | 2005 | Science China Mathematics2005，48，3： | 173 |
| 2 | Future Physics Programme of BESⅢ显示文摘There has recently been a dramatic renewal of interest in hadron spectroscopy and charm physics. This renaissance has been driven in part by the discovery of a plethora of charmonium-like XYZ states at BESⅢ and B factories, and the observation of an intriguing proton-antiproton threshold enhancement and the possibly related X(1835) meson state at BESⅢ, as well as the threshold measurements of charm mesons and charm baryons. We present a detailed survey of the important topics in tau-charm physics and hadron physics that can be further explored at BESⅢ during the remaining operation period of BEPCⅡ. This survey will help in the optimization of the data-taking plan over the coming years, and provides physics motivation for the possible upgrade of BEPCⅡ to higher luminosity. | M.Ablikim M.N.Achasov P.Adlarson S.Ahmed M.Albrecht M.Alekseev A.Amoroso F.F.An Q.An Y.Bai O.Bakina R.Baldini Ferroli Y.Ban K.Begzsuren J.V.Bennett N.Berger M.Bertani D.Bettoni F.Bianchi J Biernat J.Bloms I.Boyko R.A.Briere L.Calibbi H.Cai X.Cai A.Calcaterra G.F.Cao N.Cao S.A.Cetin J.Chai J.F.Chang W.L.Chang J.Charles G.Chelkov Chen G.Chen H.S.Chen J.C.Chen M.L.Chen S.J.Chen Y.B.Chen H.Y.Cheng W.Cheng G.Cibinetto F.Cossio X.F.Cui H.L.Dai J.P.Dai X.C.Dai A.Dbeyssi D.Dedovich Z.Y.Deng A.Denig Denysenko M.Destefanis S.Descotes-Genon F.De Mori Y.Ding C.Dong J.Dong L.Y.Dong M.Y.Dong Z.L.Dou S.X.Du S.I.Eidelman J.Z.Fan J.Fang S.S.Fang Y.Fang R.Farinelli L.Fava F.Feldbauer G.Felici C.Q.Feng M.Fritsch C.D.Fu Y.Fu Q.Gao X.L.Gao Y.Gao Y.Gao Y.G.Gao Z.Gao B.Garillon I.Garzia E.M.Gersabeck A.Gilman K.Goetzen L.Gong W.X.Gong W.Gradl M.Greco L.M.Gu M.H.Gu Y.T.Gu A.Q.Guo F.K.Guo L.B.Guo R.P.Guo Y.P.Guo A.Guskov S.Han X.Q.Hao F.A.Harris K.L.He F.H.Heinsius T.Held Y.K.Heng Y.R.Hou Z.L.Hou H.M.Hu J.F.Hu T.Hu Y.Hu G.S.Huang J.S.Huang X.T.Huang X.Z.Huang Z.L.Huang N.Huesken T.Hussain W.Ikegami Andersson W.Imoehl M.Irshad Q.Ji Q.P.Ji X.B.Ji X.L.Ji H.L.Jiang X.S.Jiang X.Y.Jiang J.B.Jiao Z.Jiao D.P.Jin S.Jin Y.Jin T.Johansson N.Kalantar-Nayestanaki X.S.Kang R.Kappert M.Kavatsyuk B.C.Ke I.K.Keshk T.Khan A.Khoukaz P.Kiese R.Kiuchi R.Kliemt L.Koch O.B.Kolcu B.Kopf M.Kuemmel M.Kuessner A.Kupsc M.Kurth M.G.Kurth W.Kuhn J.S.Lange P.Larin L.Lavezzi H.Leithoff T.Lenz C.Li Cheng Li D.M.Li F.Li F.Y.Li G.Li H.B.Li H.J.Li J.C.Li J.W.Li Ke Li L.K.Li Lei Li P.L.Li P.R.Li Q.Y.Li W.D.Li W.G.Li X.H.Li X.L.Li X.N.Li X.Q.Li Z.B.Li H.Liang H.Liang Y.F.Liang Y.T.Liang G.R.Liao L.Z.Liao J.Libby C.X.Lin D.X.Lin Y.J.Lin B.Liu B.J.Liu C.X.Liu D.Liu D.Y.Liu F.H.Liu Fang Liu Feng Liu H.B.Liu H.M.Liu Huanhuan Liu Huihui Liu J.B.Liu J.Y.Liu K.Y.Liu Ke Liu Q.Liu S.B.Liu T.Liu X.Liu X.Y.Liu Y.B.Liu Z.A.Liu Zhiqing Liu Y.F.Long X.C.Lou H.J.Lu J.D.Lu J.G.Lu Y.Lu Y.P.Lu C.L.Luo M.X.Luo 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 X.N.Ma X.X.Ma X.Y.Ma Y.M.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 J.Min T.J.Min R.E.Mitchell X.H.Mo Y.J.Mo C.Morales Morales N.Yu.Muchnoi H.Muramatsu A.Mustafa S.Nakhoul Y.Nefedov F.Nerling I.B.Nikolaev Z.Ning S.Nisar S.L.Niu S.L.Olsen Q.Ouyang S.Pacetti Y.Pan M.Papenbrock P.Patteri M.Pelizaeus H.P.Peng K.Peters A.A.Petrov J.Pettersson J.L.Ping R.G.Ping A.Pitka R.Poling V.Prasad M.Qi T.Y.Qi S.Qian C.F.Qiao N.Qin X.P.Qin X.S.Qin Z.H.Qin J.F.Qiu S.Q.Qu K.H.Rashid C.F.Redmer M.Richter M.Ripka A.Rivetti V.Rodin M.Rolo G.Rong J.L.Rosner Ch.Rosner M.Rump A.Sarantsev M.Savrie K.Schoenning W.Shan X.Y.Shan M.Shao C.P.Shen P.X.Shen X.Y.Shen H.Y.Sheng X.Shi X.D Shi J.J.Song Q.Q.Song X.Y.Song S.Sosio C.Sowa S.Spataro F.F.Sui G.X.Sun J.F.Sun L.Sun S.S.Sun X.H.Sun Y.J.Sun Y.K Sun Y.Z.Sun Z.J.Sun Z.T.Sun Y.T Tan C.J.Tang G.Y.Tang X.Tang V.Thoren B.Tsednee I.Uman B.Wang B.L.Wang C.W.Wang D.Y.Wang H.H.Wang K.Wang L.L.Wang L.S.Wang M.Wang M.Z.Wang Wang Meng P.L.Wang R.M.Wang W.P.Wang X.Wang X.F.Wang X.L.Wang Y.Wang Y.F.Wang Z.Wang Z.G.Wang Z.Y.Wang Zongyuan Wang T.Weber D.H.Wei P.Weidenkaff H.W.Wen S.P.Wen U.Wiedner G.Wilkinson M.Wolke L.H.Wu L.J.Wu Z.Wu L.Xia Y.Xia S.Y.Xiao Y.J.Xiao Z.J.Xiao Y.G.Xie Y.H.Xie T.Y.Xing X.A.Xiong Q.L.Xiu G.F.Xu L.Xu Q.J.Xu W.Xu X.P.Xu F.Yan L.Yan W.B.Yan W.C.Yan Y.H.Yan H.J.Yang H.X.Yang L.Yang R.X.Yang S.L.Yang Y.H.Yang Y.X.Yang Yifan Yang Z.Q.Yang M.Ye M.H.Ye J.H.Yin Z.Y.You B.X.Yu C.X.Yu J.S.Yu C.Z.Yuan X.Q.Yuan Y.Yuan A.Yuncu A.A.Zafar Y.Zeng B.X.Zhang B.Y.Zhang C.C.Zhang D.H.Zhang H.H.Zhang H.Y.Zhang J.Zhang J.L.Zhang J.Q.Zhang J.W.Zhang J.Y.Zhang J.Z.Zhang K.Zhang L.Zhang S.F.Zhang T.J.Zhang X.Y.Zhang Y.Zhang Y.H.Zhang Y.T.Zhang Yang Zhang Yao Zhang Yi Zhang Yu Zhang Z.H.Zhang Z.P.Zhang Z.Q.Zhang Z.Y.Zhang G.Zhao J.W.Zhao J.Y.Zhao J.Z.Zhao Lei Zhao Ling Zhao M.G.Zhao Q.Zhao S.J.Zhao T.C.Zhao Y.B.Zhao Z.G.Zhao A.Zhemchugov B.Zheng J.P.Zheng Y.Zheng Y.H.Zheng B.Zhong L.Zhou L.P.Zhou Q.Zhou X.Zhou X.K.Zhou Xingyu Zhou Xiaoyu Zhou Xu Zhou A.N.Zhu J.Zhu J.Zhu K.Zhu K.J.Zhu S.H.Zhu W.J.Zhu X.L.Zhu Y.C.Zhu Y.S.Zhu Z.A.Zhu J.Zhuang B.S.Zou J.H.Zou 无 | 2020 | Chinese Physics C2020，44，4： | 517 |
| 3 | On the adjacent-vertex-strongly-distinguishing total coloring of graphs显示文摘For any vertex u∈V(G), let TN(U)={u}∪{uv|uv∈E(G), v∈v(G)}∪{v∈v(G)|uv∈E(G)}and let f be a total k-coloring of G. The total-color neighbor of a vertex u of G is the color set Cf(u)={f(x)|x∈TN(U)}. For any two adjacent vertices x and y of V(G)such that Cf(x)≠Cf(y), we refer to f as a k-avsdt-coloring of G('avsdt'is the abbreviation of'adjacent-vertex-strongly- distinguishing total'). The avsdt-coloring number of G, denoted by Xast(G), is the minimal number of colors required for a avsdt-coloring of G. In this paper, the avsdt-coloring numbers on some familiar graphs are studied, such as paths, cycles, complete graphs, complete bipartite graphs and so on. We proveΔ(G)+1≤Xast(G)≤Δ(G)+2 for any tree or unique cycle graph G. | ZHANG ZhongFu CHENG Hui YAO Bing LI JingWen CHEN XiangEn XU BaoGen | 2008 | Science China Mathematics2008，51，3： | 74 |
| 4 | Quality assessment of clinical guidelines in China: 1993-2010显示文摘 | CHEN Yao-long YAO Liang XIAO Xiao-juan WANG Qi WANG Ze-hao LIANG Fu-xiang LIANG Hui WANG Xin SHEN Xi-ping XIE Chang-chun YANG Ke-hu | 2012 | Chinese Medical Journal2012，，20： | 65 |
| 5 | D(β)-vertex-distinguishing total coloring of graphs显示文摘A new concept of the D(β)-vertex-distinguishing total coloring of graphs, i.e., the proper total coloring such that any two vertices whose distance is not larger than β have different color sets, where the color set of a vertex is the set composed of all colors of the vertex and the edges incident to it, is proposed in this paper. The D(2)-vertex-distinguishing total colorings of some special graphs are discussed, meanwhile, a conjecture and an open problem are presented. | ZHANG Zhongfu,LI Jingwen,CHEN Xiang’en,YAO Bing, WANG Wenjie & QIU Pengxiang Institute of Applied Mathematic, Lanzhou Jiaotong University, Lanzhou 730070, China College of Mathematics and Information Science, Northwest Normal University, Lanzhou 730070, China College of Information and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China | 2006 | Science China Mathematics2006，49，10： | 54 |
| 6 | Mapping wetland changes in China between 1978 and 2008显示文摘Four wetland maps for all China have been produced,based on Landsat and CBERS-02B remote sensing data between 1978 and 2008 (1978,1990,2000 and 2008).These maps were mainly developed by manual interpretation and validated by substantial field investigation in 2009.Based on these maps,we analyzed the 2008 wetland distribution in China and discussed wetland changes and their drivers over the past 30 years.(i) There were about 324097 km 2 of wetlands in 2008,for which inland marshes or swamps were the most common wetland type (35%),with lakes (26%) second.Most of the wetlands were in Heilongjiang,Inner Mongolia,Qinghai and Tibet,occupying about 55% of the national wetland area.(ii) From 1978 to 2008,China's wetland area continually and significantly decreased,by about 33% based on changes in the wetland map.This was in sharp contrast to the increase in artificial wetlands,which increased by about 122%.Inland marshes accounted for the main loss of total wetlands from 1978 to 2000.From 2000 through 2008,riverine and lacustrine wetlands constituted the main wetland loss.Fortunately however,the rate of wetland loss decreased from 5523 to 831 km 2 /a.(iii) The change ratio of lost natural wetlands (including inland and coastal wetlands) to non-wetlands has decreased slightly over the past 30 years.From 1978 to 1990,nearly all natural wetlands (98%) lost were transformed into non-wetlands.However,the ratio declined to 86% from 1990 to 2000,and to 77% from 2000 to 2008.(iv) All Chinese provinces were divided into three groups according to patterns of wetland changes,which could relate to the driving forces of such changes.Tibet was completely different from other provinces,as it was one representative example in which there was a net wetland increase,because of global warming and decreased human activity since 1990.Increased economic development caused considerable wetland loss in most eastern provinces,and artificial wetlands increased. | NIU ZhenGuo ZHANG HaiYing WANG XianWei YAO WenBo ZHOU DeMin ZHAO KuiYi ZHAO Hui LI NaNa HUANG HuaBing LI CongCong YANG Jun LIU CaiXia LIU Shuang WANG Lin LI Zhan YANG ZhenZhong QIAO Fei ZHENG YaoMin CHEN YanLei SHENG YongWei GAO XiaoHong ZHU WeiHong WANG WenQing WANG Hong WENG YongLing ZHUANG DaFang LIU JiYuan LUO ZhiCai CHENG Xiao GUO ZiQi GONG Peng | 2012 | Chinese Science Bulletin2012，57，22： | 51 |
| 7 | Autophagy and multidrug resistance in cancer显示文摘Multidrug resistance(MDR) occurs frequently after long-term chemotherapy, resulting in refractory cancer and tumor recurrence.Therefore, combatting MDR is an important issue. Autophagy, a self-degradative system, universally arises during the treatment of sensitive and MDR cancer. Autophagy can be a double-edged sword for MDR tumors: it participates in the development of MDR and protects cancer cells from chemotherapeutics but can also kill MDR cancer cells in which apoptosis pathways are inactive. Autophagy induced by anticancer drugs could also activate apoptosis signaling pathways in MDR cells, facilitating MDR reversal. Therefore, research on the regulation of autophagy to combat MDR is expanding and is becoming increasingly important. We summarize advanced studies of autophagy in MDR tumors, including the variable role of autophagy in MDR cancer cells. | Ying-Jie Li Yu-He Lei Nan Yao Chen-Ran Wang Nan Hu Wen-Cai Ye Dong-Mei Zhang Zhe-Sheng Chen | 2017 | Chinese Journal of Cancer2017，36，8： | 54 |
| 8 | Mesenchymal stem cells over-expressing hepatocyte growth factor improve small-for-size liver grafts regeneration显示文摘 | Yu, Y. Yao, A. H. Chen, N. Pu, L. Y. Fan, Y. Lv, L. Sun, B. C. Li, G. Q. Wang, X. H. | 2007 | 南京医科大学学报(自然科学版)2007，27，10： | 45 |
| 9 | Economic analysis in admitted patients with acute exacerbation of chronic obstructive pulmonary disease显示文摘背景:在北京的长期的妨碍的肺的疾病(AECOPD ) 的尖锐恶化的社会经济的负担充分没被理解。学习与 AECOPD 和联系因素在病人调查了住院费用。方法:一个多中心,回顾的学习包括二所水平 III 医院和二所水平 II 医院在北京在四所医院里被进行。有 AECOPD 的病人承认了到在 1 月之间的医院,在 2006 的 12 月被注册。住院花费了,它与疾病严厉和治疗的关系被分析。结果:完全, 439 个病人与 294 个人(67.0%) 和吝啬的年龄一起被注册 73.4 年。吝啬的医院停留是 20.7 天。204 个病人(46.5%) 的一个总数有呼吸衰竭, 153 (34.9%) 与肺性心病, 123 (28.0%) 与冠的动脉疾病, 231 (52.6%) 与高血压, 70 (15.9%) 与脑血管的疾病并且 32 (7.3%) 与肾衰竭。到全部的费用的药费用的百分比是最高(71.2%) ,由实验室费用(16.7%) 列在后面,治疗费用(9.7%) ,氧费用(7.3%) ,辐射学费用(4.5%) ,考试费用(4.5%) ,床费用(4.1%) 。关联分析证明费用断然与年龄被相关,住院天,合作病态象呼吸衰竭和肺性心病那样,高血压。321 个病人进一步被分析。住院费用与非侵略的通风在病人增加了(P <
0.01 ) ,侵略机械通风(P <
0.01 ) , ICU 停留(P <
0.01 ) ,抗菌素(P <
0.05 ) ,全身的类固醇(P <
0.01 ) ,并且差的预后(P <
0.05 ) 。关联分析证明住院费用否定地与百分比被相关在 1 秒( FEV ( 1 )%)的强迫的吐气的体积( r =-0.149, P <
0.05 ), pH ( r =-0.258, P <
0.01 ),并且 PaO ( 2 )( r =-0.131, P <
0.05 ),断然与 PaCO ( 2 )相关( r = 0.319 , P <
0.01 ),非侵略的正压通风( r = 0.375 , P <
0.01 )并且持续时间( r = 0.463 , P <
0.01 ),侵略机械通风( r = 0.416 , P <
0.01 )并且持续时间( r = 0.511 , P <
0.01 ), ICU 留下来( r 0.390 , P <
0.01 )并且持续时间( r <
0.05 )并且全身的类固醇( r = 0.202 , P <
0.01 )。结论:AECOPD 在保健资源利用上有大影响。疾病严厉,非侵略或侵略的通风的使用, ICU 停留和抗菌素和全身的类固醇的用法是住院费用的主要决定因素。针对减少尖锐恶化愿望的频率的长期的常规处理降低长期的妨碍的肺的疾病(COPD ) 的社会、经济的负担。 | CHEN Ya-hong YAO Wan-zhen CAI Bai-qiang WANG Hong DENG Xiao-mei GAO Hui-li HUANG Jia-sheng WANG Xin-mao | 2008 | Chinese Medical Journal2008，，7： | 49 |
| 10 | Gastric Cancer Screening by Combined Determination of Serum Helicobacter pylori Antibody and Pepsinogen Concentrations: ABC Method for Gastric Cancer Screening显示文摘 | Xian-Zhe Chen Cheng-Zhi Huang Wei-Xian Hu Ying Liu Xue-Qing Yao | 2018 | Chinese Medical Journal2018，，10： | 50 |
| 11 | Natural variation in Ghd7.1 plays an important role in grain yield and adaptation in rice显示文摘 | Wenhao Yan Haiyang Liu Xiangchun Zhou Qiuping Li Jia Zhang Li Lu Touming Liu Haijun Liu Chengjun Zhang Zhanyi Zhang Guojing Shen Wen Yao Huaxia Chen Sibin Yu Weibo Xie Yongzhong Xing | 2013 | Cell Research2013，23，7： | 39 |
| 12 | A High-Density SNP Genotyping Array for Rice Biology and Molecular Breeding显示文摘一个高密度的单个核苷酸多型性(SNP ) 数组为遗传学者和分子的 breeders.With 是极其重要的 genomic 的巨大的数量的累积重新定序为精确 SNP 察觉的数据和可得到的技术,设计高密度、高质量的米饭 SNP 数组是可能的。这里,我们报导一个高密度的 riceSNP 数组和它的实用程序的开发。SNP 探针被屏蔽超过 10 设计从变化和一个数组说出 RiceSNP50 的 801 米饭的 re-sequencingdata 提取的 000 000 SNP loci 在 Illumina Infinium 站台上被生产。数组 contained51 478 个均匀地分布式的标记,其 68% 个在遗传因子的区域以内。有 parent/F1 relationshipswere 的几百米饭植物过去常为精确 SNP 打电话产生一个高质量的簇文件。应用程序测试证明这穿有的 highgenotyping 精确性,并且能被用于不同目的。例如,有好分辨率的精英米饭变化 wasclustered 的一个核心集合。染色体宽的协会研究(GWAS ) 分析正确地识别了描绘的 QTL.Further,这个数组成功地为变化确认和特点基因渗入被使用。作为一个精确 high-throughputgenotyping 工具, RiceSNP50 将在两功能的 genomics 学习和分子的 breeding.Key 词起一个重要作用: | Haodong Chen Weibo Xie Hang He Huihui Yu Wei Chen Jing Li Renbo Yu Yue Yao Wenhui Zhang Yuqing He Xiaoyan Tang Fasong Zhou Xing Wang Deng Qifa Zhang | 2014 | Molecular Plant2014，7，3： | 38 |
| 13 | Assessment of candidate plant DNA barcodes using the Rutaceae family显示文摘DNA barcoding is a rapidly developing frontier technology that is gaining worldwide attention.Here,seven regions (psbA-trnH,matK,ycf5,rpoC1,rbcL,ITS2,and ITS) with potential for use as DNA barcodes were tested for their ability to identify 300 samples of 192 species from 72 genera of the family Rutaceae.To evaluate each barcode’s utility for species authentication,PCR amplification efficiency,genetic divergence,and barcoding gaps were assessed.We found that the ITS2 region exhibited the highest inter-specific divergence,and that this was significantly higher than the intra-specific variation in the 'DNA barcoding gap' assessment and Wilcoxon two-sample tests.The ITS2 locus had the highest identification efficiency among all tested regions.In a previous study,we found that ITS2 was able to discriminate a wide range of plant taxa,and here we confirmed that ITS2 was also able to discriminate a number of closely related species.Therefore,we propose that ITS2 is a promising candidate barcode for plant species identification. | LUO Kun1,2,CHEN ShiLin1,CHEN KeLi2,SONG JingYuan1,YAO Hui1,MA XinYe1,ZHU YingJie3,PANG XiaoHui1,YU Hua1,LI XiWen1,4 & LIU Zhen2 1Institute of Medicinal Plant Development,Peking Union Medical College,Chinese Academy of Medical Sciences,Beijing 100193,China 2College of Pharmacy,Hubei University of Chinese Medicine,Wuhan 430061,China 3School of Bioscience and Engineering,Southwest Jiaotong University,Chengdu 610031,China 4Department of Chemistry,Tsinghua University,Beijing 100084,China | 2010 | Science China(Life Sciences)2010，53，6： | 32 |
| 14 | Intracellular tat of human immunodeficiency virus type 1 activates lytic cycle replication of Kaposi's sarcoma-associated herpesvirus. Role of JAK/STAT signaling显示文摘 | Zeng, Y. Zhang, X. H. Huang, Z. Cheng, L. Yao, S. H. Qin, D. Chen, X. Y. Tang, Q. Lv, Z. G. Zhang, L. Lu, C. | 2007 | 南京医科大学学报(自然科学版)2007，27，5： | 31 |
| 15 | Toll-like receptor 7 and 9 expression in peripheral blood mononuclear cells from patients with chronic hepatitis B and related hepatocellular carcinoma显示文摘现在的学习的目的是调查像使用费的受体( TLR )的表示 7 和 9 在外部血有长期的肝炎 B ( HBV )感染和相关肝细胞 carcinoma.Methods 的病人的单音的原子房间( PBMC ):学习组与长期的肝炎由 52 patients:41 组成 B 和 11 健康控制。 TLR7 和 TLR9 的蛋白质和 mRNA 层次用即时 PCR 被评估,西方的污点分析,并且流动 cytometry.We 也检测了浆液在病人的 HBV 的病毒的负担并且分析了在 HBV-DNA 拷贝和 TLR expression.Results 之间的关联:我们的结果与控制相比在所有 HBV 感染组表明了更低的 TLR7 表情。我们发现 HBV 感染与健康的组相比导致了 TLR9 mRNA,而是 TLR9 蛋白质的增加的表情的减少的表情。TLR 蛋白质层次与浆液 HBV-DNA 有关(P < 0.01 ).Conclusion : 在蛋白质水平在感染 HBV 的病人,而是增加的 TLR9 表情的 PBMC 有在 TLR7 表示和 TLR9 mRNA 的规定下面的。 | Ning XU Hang-ping YAO Zhen SUN Zhi CHEN | 2008 | Acta Pharmacologica Sinica2008，29，2： | 31 |
| 16 | Study 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 | 2021 | Chinese Physics C2021，45，2： | 33 |
| 17 | Broadband diffusion of terahertz waves by multi-bit coding metasurfaces显示文摘The terahertz region is a special region of the electromagnetic spectrum that incorporates the advantages of both microwaves and infrared light waves.In the past decade,metamaterials with effective medium parameters or gradient phases have been studied to control terahertz waves and realize functional devices.Here,we present a new approach to manipulate terahertz waves by using coding metasurfaces that are composed of digital coding elements.We propose a general coding unit based on a Minkowski closed-loop particle that is capable of generating 1-bit coding(with two phase states of 0 and 180°),2-bit coding(with four phase states of 0,90°,180°,and 270°),and multi-bit coding elements in the terahertz frequencies by using different geometric scales.We show that multi-bit coding metasurfaces have strong abilities to control terahertz waves by designing-specific coding sequences.As an application,we demonstrate a new scattering strategy of terahertz waves—broadband and wide-angle diffusion—using a 2-bit coding metasurface with a special coding design and verify it by both numerical simulations and experiments.The presented method opens a new route to reducing the scattering of terahertz waves. | Li-Hua Gao Qiang Cheng Jing Yang Shao-Jie Ma Jie Zhao Shuo Liu Hai-Bing Chen Qiong He Wei-Xiang Jiang Hui-Feng Ma Qi-Ye Wen Lan-Ju Liang Biao-Bing Jin Wei-Wei Liu Lei Zhou Jian-Quan Yao Pei-Heng Wu Tie-Jun Cui | 2015 | Light(Science & Applications)2015，4，1： | 31 |
| 18 | Seismic airgun exploration of continental crust structures显示文摘The active sources generate seismic waves transmitting appropriate through the deep is underground key and can be used to image Abstract high-resolution subsurface structures.Therefore,an seismic source the factor to active source exploration.In order to study the structure of continental crust and its temporal variations,we selected an artificial seismic source generated from releasing air bubbles in water(airgun source hereinafter)out of a variety and of artificial sources like the is explosion,new electronic sparkers,source hammering,eccentric proven vibration,be heavy-duty train vibration,vibroseis etc.Airgun Three source Fixed a type of artificial that have been to environmentally friendly,safe,and highly efficient.Airgun western Signal China Transmission and Stations(FASTS)have been for built a few years ago in Yunnan,Xinjiang,and Gansu provinces in have been continuously them running several years.Seismic waves generated away by the the airgun sources are highly seismic reproducible waves and stacking in of can produce can good seismograms on 1300 stations km far from source,for instance,an produced Xinjiang FASTS be well about recorded 60 nearly away after 5000 stacking,China covering area of 6 million km2 and penetrating down to of a depth of km.Establishing about 10 FASTSs in would enable long-term illuminate continuous subsurface underground structures,monitoring can all 9.6 million km2 of land area.Treating from airgun sky active sources as lanterns to we achieve the situation with'Beidou surveys the and lantern illuminates underground'. | CHEN Yong WANG BaoShan YAO HuaJian | 2017 | Science China Earth Sciences2017，60，10： | 29 |
| 19 | Incidence and prevention of venous thromboembolism in acutely ill hospitalized elderly Chinese显示文摘是的背景第三很经常的心血管的疾病,静脉的 thromboembolism (VTE ) 在就医的病人仍然是病态和死亡的一个主要原因。这研究的目的是在尖锐地有病的就医的老中国 patients.Methods A 为它的预防决定 VTE 和步的发生未来的多中心学习从 2006 年 6 月被进行到 2007 年 11 月。40 研究在中国集中的 607 patientsfrom 的一个总数被注册。病人的基线特征, VTE 事件和预防 / 治疗方法的数据是 59 个病人(9.7%) 有的 collected.Results 客观地证实的 VTE 在 90 天的后续期间,它, 59.3%occurred 在第一个星期期间并且 75% 在 14 天以内。41 个病人死了(6.6%) 在后续期间, 36.6% 在三个星期以内死了。我们也包括呼吸失败(16.4%) 发现那医药混乱,尖锐大脑梗塞(15.6%) ,急性传染疾病(14.3%) ,尖锐冠的动脉症候群(8.7%) 和心失败(7.6%) 在挑起 VTE 起一个作用。仅仅,有 VTE 的高风险的13.0%老病人使用了低剂量 unfractionated 肝磷脂,7.1%使用的低分子的重量肝磷脂,5.4%使用了 warfarin ,他们的0.3%使用的毕业压缩袜子和没有使用了我们的学习显示出的断断续续的灵魂 compression.Conclusions 在我们在 VTE 发生的学习和西方的国家之间的类似的结果在白天 90 在有急性医药病的老就医的病人。大小心必须由尖锐地有病的老就医的病人照料被使用处理 VTE 的复杂并发症。对栓塞的安全、有效的 prophylaxes 的申请仍然是批评挑战。 | LI Xiao-ying FAN Jin CHENG You-qin WANG Yan YAO Chen ZHONG Nan-shan | 2011 | Chinese Medical Journal2011，，3： | 27 |
| 20 | Genetic correction of p-thalassemia patient-specific iPS cells and its use in improving hemoglobin production in irradiated SCID mice显示文摘 | Yixuan Wang Chen-Guang Zheng Yonghua Jiang Jiqin Zhang Jiayu Chen Chao Yao Qingguo Zhao Sheng Liu Ke Chen Juan Du Ze Yang Shaorong Gao | 2012 | Cell Research2012，22，4： | 27 |
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