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| 1 | 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 |
| 2 | 压疮的预防显示文摘本“最佳实践信息手册”是JBI 1997年发表的相同主题的最佳实践信息手册的更新版,信息取自2003-2006年间发表的系统评价。 | 无 成磊(译) 胡雁(审校) Yifan Xue(审校) | 2009 | 中华护理杂志2009，44，5： | 42 |
| 3 | Epithelial-mesenchymal transition in breast cancer progression and metastasis显示文摘Breast cancer is the most common cancer in women,and approximately 90% of breast cancer deaths are caused by local invasion and distant metastasis of tumor cells.Epithelial-mesenchymal transition(EMT) is a vital process for large-scale cell movement during morphogenesis at the time of embryonic development.Tumor cells usurp this developmental program to execute the multi-step process of tumorigenesis and metastasis.Several transcription factors and signals are involved in these events.In this review,we summarize recent advances in breast cancer researches that have provided new insights in the molecular mechanisms underlying EMT regulation during breast cancer progression and metastasis.We especially focus on the molecular pathways that control EMT. | Yifan Wang Binhua P. Zhou | 2011 | Chinese Journal of Cancer2011，30，9： | 33 |
| 4 | 住院老年患者跌倒预防显示文摘本“最佳实践信息册”取自2009年出版的基于7个随机对照试验研究的系统评价,可在JBI循证卫生保健中心的网站(www.joannabriggs.edu.au)上获取。 | 李莺 胡雁 Yifan Xue | 2013 | 中华护理杂志2013，48，6： | 33 |
| 5 | 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 |
| 6 | Mobile Edge Computing Towards 5G: Vision, Recent Progress, and Open Challenges显示文摘Mobile Edge Computing(MEC) is an emerging technology in 5G era which enables the provision of the cloud and IT services within the close proximity of mobile subscribers.It allows the availability of the cloud servers inside or adjacent to the base station.The endto-end latency perceived by the mobile user is therefore reduced with the MEC platform.The context-aware services are able to be served by the application developers by leveraging the real time radio access network information from MEC.The MEC additionally enables the compute intensive applications execution in the resource constraint devices with the collaborative computing involving the cloud servers.This paper presents the architectural description of the MEC platform as well as the key functionalities enabling the above features.The relevant state-of-the-art research efforts are then surveyed.The paper finally discusses and identifies the open research challenges of MEC. | Yifan Yu | 2016 | China Communications2016，13，S2： | 28 |
| 7 | 糖尿病视网膜病变患病率的流行病学调查:在中国6省13473名糖尿病患者中的横断面研究显示文摘目的本研究旨在探究中国糖尿病患者中糖尿病视网膜病变(DR)和视力威胁性糖尿病视网膜病变(STDR)的患病率和严重程度。研究设计、设置与参与者本研究为横断面流行病学调查,研究对象为中国内地地区的糖尿病患者(N=13473)。研究对象为被内科医师诊断为糖尿病,并转诊到筛查门诊的糖尿病患者(其中住院患者占1/3,城市居民占1/3,农村居民占1/3)。研究对象的每只眼睛应用彩色、免散瞳和非立体眼底照相机拍摄2张眼底照片,并根据英国DR分级指南进行分级。主要结果和测量指标DR与STDR的患病率和严重程度。结果在参与本研究的13473例糖尿病患者中,共发现4591例DR和1769例STDR患者,DR的总体患病率为34.08%[95%可信区间(凹)33.28%~34.88%],其中STDR的总体患病率为13.13%(95%C112.56%~13.70%)。在所有研究对象中,12780例参与了眼底照片分级(94.86%)。年龄大于65岁的研究对象患DR或STDR的可能性较低(P〈0.001)。性别对是否患病没有显著影响(P〉0.05)。STDR患者与非STDR患者相比,视力损伤更为严重(P〈0.001)。中国北方DR和STDR的患病率高于南方(P〈0.001)。DR的患病率与糖尿病患病时间f比值比(鲫)2.63;95%C12.42~2.86;P〈0.001]以及糖尿病发病年龄(OR 0.38;95%CI为0.35~0.41;P〈0.001)密切相关。结论DR和STDR在中国内地地区的患病率偏高,并且不同地区患病率存在差异。在DR中,非增殖性DR更常见,但STDR更需要及时的诊断和治疗,特别是在经济欠发达地区。本研究强调了中国内地地区DR筛查和治疗的重要性。 | Liu, Yan Song, Yifan Tao, Liyuan Qiu, Weiqiang Lv, Huibin Jiang, Xiaodan Zhang, Mingzhou Li, Xuemin | 2017 | 英国医学杂志中文版2017，20，11： | 23 |
| 8 | Acute cerebrovascular disease following COVID-19: a single center, retrospective, observational study显示文摘Background and purpose COVID-19 is an infectious disease caused by Severe Acute Respiratory Syndrome Coronavirus 2(SARS-CoV-2).Apart from respiratory complications,acute cerebrovascular disease(CVD)has been observed in some patients with COVID-19.Therefore,we described the clinical characteristics,laboratory features,treatment and outcomes of CVD complicating SARS-CoV-2 infection.Materials and methods Demographic and clinical characteristics,laboratory findings,treatments and clinical outcomes were collected and analysed.Clinical characteristics and laboratory findings of patients with COVID-19 with or without new-onset CVD were compared.Results Of 219 patients with COVID-19,10(4.6%)developed acute ischaemic stroke and 1(0.5%)had intracerebral haemorrhage.COVID-19 with new onset of CVD were significantly older(75.7±10.8 years vs 52.1±15.3 years,p<0.001),more likely to present with severe COVID-19(81.8%vs 39.9%,p<0.01)and were more likely to have cardiovascular risk factors,including hypertension,diabetes and medical history of CVD(all p<0.05).In addition,they were more likely to have increased inflammatory response and hypercoagulable state as reflected in C reactive protein(51.1(1.3-127.9)vs 12.1(0.1-212.0)mg/L,p<0.05)and D-dimer(6.9(0.3-20.0)vs 0.5(0.1-20.0)mg/L,p<0.001).Of 10 patients with ischemic stroke;6 received antiplatelet treatment with aspirin or clopidogrel;and 3 of them died.The other four patients received anticoagulant treatment with enoxaparin and 2 of them died.As of 24 March 2020,six patients with CVD died(54.5%).Conclusion Acute CVD is not uncommon in COVID-19.Our findings suggest that older patients with risk factors are more likely to develop CVD.The development of CVD is an important negative prognostic factor which requires further study to identify optimal management strategy to combat the COVID-19 outbreak. | Yanan Li Man Li Mengdie Wang Yifan Zhou Jiang Chang Ying Xian David Wang Ling Mao Huijuan Jin Bo Hu | 2020 | Stroke & Vascular Neurology2020，5，3： | 22 |
| 9 | Trends in cancer mortality in China from 2004 to 2018:A nationwide longitudinal study显示文摘Background:The long-term trend in cancer death in a rapidly developing country provides information for cancer prophylaxis.Here,we aimed to identify the trends in cancer mortality in China during the 2004-2018 period.Methods:Using raw data from the national mortality surveillance system of China,we assessed the mortalities of all cancer and site-specific cancers during the 2004-2018 period.The participants were divided into three age groups:≥65 years,40-64 years,and≤39 years.Changing trends in cancer death by gender,residency,and tumor location were estimated using fitting joinpoint models to log-transformed crude mortality rates(CMRs)and age-standardizedmortality rates(ASMRs).Results:Cancer death accounted for 24% of all-cause of death in China during 2014-2018.The CMR of all cancer was 150.0 per 100,000 persons.Cancer was the leading cause of death in the population<65 years.The six major cancer types(lung/bronchus cancer,liver cancer,stomach cancer,esophagus cancer,colorectal cancer,and pancreas cancer)accounted for 75.85% of all cancer deaths.The CMR of all cancer increased while the ASMR decreased during 2014-2018(P<0.001).Lung/bronchus cancer and liver cancer were the leading causes of cancer death in the population<65 years,accounting for 45.31%(CMR)and 44.35%(ASMR)of all cancer death,respectively.The ASMR of liver cancer was higher in the 40-64 years population than in the≥65 years population,in contrast to the other five major cancers.The ASMRs of liver cancer,stomach cancer,and esophagus cancer decreased although they were higher in rural residents than in urban residents;the ASMRs of lung/bronchus cancer,colorectal cancer,and pancreas cancer increased in rural residents although they were higher in urban residents than in rural residents during 2014-2018.Conclusion:Although the ASMR of all cancer decreased in China during 2004-2018,lung/bronchus cancer and liver cancer remained the leading causes of cancer-related premature death.Lung/bronchus cancer,colorectal cancer,and pancreas cancer increased in rural residents. | Dongming Jiang Lijuan Zhang Wenbin Liu Yibo Ding Jianhua Yin Rongbing Ren Qi Li Yifan Chen Jiaying Shen Xiaojie Tan Hongwei Zhang Guangwen Cao | 2021 | Cancer Communications2021，41，10： | 23 |
| 10 | Discharge Characteristics of Long SF6 Gas Gap with and Without Insulator in GIS Under VFTO and LI显示文摘Gas insulator switchgears(GISs),widely used in electric power systems for decades,have many advantages due to their compactness,minimal environmental impact,and long maintenance cycles.However,very fast transient overvoltage(VFTO)increases caused by a rise in voltage levels can lead to GIS insulation failures.In this paper,a generating system of VFTO and standard lightning impulse(LI)is established.The insulation characteristics of SF6 gas with and without insulators under VFTO and standard LI are investigated.Experimental results show that the 50%breakdown voltages of the inhomogeneous electric field rod-plane gap under positive VFTO and standard LI are higher than that under negative VFTO and standard LI.The research shows that the 50%breakdown voltage under VFTO could be lower than that under standard LI at 0.5 MPa for the negative polarity.Moreover,the polarity effect of the insulator without defect is different from that with defect.Similarly,the breakdown voltage of the defective insulator under VFTO could be lower than that under standard LI by 8%.The flashover channel under VFTO is seen as more than that under standard LI.Based on the analysis of discharge images and experimental results,it is concluded that the polarity effect is related to the distortion effect of ion clusters formed by SF6 on the electric field.Additionally,the steepness and front time of impulse plays an important role in the initiation and further development of discharge on insulator surface.Finally,the research shows that different discharge characteristics between VFTO and standard LI may be caused by different wave fronts and oscillation on the tails of the impulses. | Tao Wen Qiaogen Zhang Jingtan Ma Can Guo Haoyang You Yifan Qin Yu Yin Weidong Shi Weijiang Chen | 2015 | CSEE Journal of Power and Energy Systems2015，1，3： | 17 |
| 11 | Traffic signal detection and classification in street views using an attention model显示文摘Detecting small objects is a challenging task.We focus on a special case:the detection and classification of traffic signals in street views.We present a novel framework that utilizes a visual attention model to make detection more efficient,without loss of accuracy,and which generalizes.The attention model is designed to generate a small set of candidate regions at a suitable scale so that small targets can be better located and classified.In order to evaluate our method in the context of traffic signal detection,we have built a traffic light benchmark with over 15,000 traffic light instances,based on Tencent street view panoramas.We have tested our method both on the dataset we have built and the Tsinghua–Tencent 100K(TT100K)traffic sign benchmark.Experiments show that our method has superior detection performance and is quicker than the general faster RCNN object detection framework on both datasets.It is competitive with state-of-theart specialist traffic sign detectors on TT100K,but is an order of magnitude faster.To show generality,we tested it on the LISA dataset without tuning,and obtained an average precision in excess of 90%. | Yifan Lu Jiaming Lu Songhai Zhang Peter Hall | 2018 | Computational Visual Media2018，4，3： | 16 |
| 12 | Single-cell transcriptomic analysis defines the interplay between tumor cells,viral infection,and the microenvironment in nasopharyngeal carcinoma显示文摘Nasopharyngeal carcinoma(NPC)is an Epstein-Barr virus(EBV)-associated malignancy with a complex tumor ecosystem.How the interplay between tumor cells,EBV,and the microenvironment contributes to NPC progression and immune evasion remains unclear.Here we performed single-cell RNA sequencing on^104,000 cells from 19 EBV^+NPCs and 7 nonmalignant nasopharyngeal biopsies,simultaneously profiling the transcriptomes of malignant cells,EBV,stromal and immune cells.Overall,we identified global upregulation of interferon responses in the multicellular ecosystem of NPC.Notably,an epithelial–immune dual feature of malignant cells was discovered and associated with poor prognosis.Functional experiments revealed that tumor cells with this dual feature exhibited a higher capacity for tumorigenesis.Further characterization of the cellular components of the tumor microenvironment(TME)and their interactions with tumor cells revealed that the dual feature of tumor cells was positively correlated with the expression of co-inhibitory receptors on CD8^+tumor-infiltrating T cells.In addition,tumor cells with the dual feature were found to repress IFN-γproduction by T cells,demonstrating their capacity for immune suppression.Our results provide new insights into the multicellular ecosystem of NPC and offer important clinical implications. | Shanzhao Jin Ruoyan Li Ming-Yuan Chen Chao Yu Lin-Quan Tang Yan-Min Liu Jiang-Ping Li Yi-Na Liu Yi-Ling Luo Yifan Zhao Yu Zhang Tian-Liang Xia Shang-Xin Liu Qi Liu Guan-Nan Wang Rui You Jing-Yun Peng Jiang Li Feng Han Jianwei Wang Qiu-Yan Chen Li Zhang Hai-Qiang Mai Benjamin E.Gewurz Bo Zhao Lawrence S.Young Qian Zhong Fan Bai Mu-Sheng Zeng | 2020 | Cell Research2020，30，11： | 16 |
| 13 | Computational imaging without a computer:seeing through random diffusers at the speed of light显示文摘Imaging through diffusers presents a challenging problem with various digital image reconstruction solutions demonstrated to date using computers.Here,we present a computer-free,all-optical image reconstruction method to see through random diffusers at the speed of light.Using deep learning,a set of transmissive diffractive surfaces are trained to all-optically reconstruct images of arbitrary objects that are completely covered by unknown,random phase diffusers.After the training stage,which is a one-time effort,the resulting diffractive surfaces are fabricated and form a passive optical network that is physically positioned between the unknown object and the image plane to all-optically reconstruct the object pattern through an unknown,new phase diffuser.We experimentally demonstrated this concept using coherent THz illumination and all-optically reconstructed objects distorted by unknown,random diffusers,never used during training.Unlike digital methods,all-optical diffractive reconstructions do not require power except for the illumination light.This diffractive solution to see through diffusers can be extended to other wavelengths,and might fuel various applications in biomedical imaging,astronomy,atmospheric sciences,oceanography,security,robotics,autonomous vehicles,among many others. | Yi Luo Yifan Zhao Jingxi Li Ege Çetintaş Yair Rivenson Mona Jarrahi Aydogan Ozcan | 2022 | eLight2022，2，1： | 16 |
| 14 | Levels and distribution of brominated flame retardants in the soil of Harbin in China显示文摘This study reports the presence of brominated flame retardants in the topsoil in and around Harbin, a city in northeastern China. Samples of soil were collected from 17 locations in 2006, and the levels of 9 polybrominated diphenylethers (PBDEs 17, 28, 47, 66, 99, 100, 153, 154, and 183) ranged from 2.45 to 55.9 pg/g dry weight (dw) with a mean of 26.3 pg/g dw. These levels are very low comparing with those for some cities in Europe and USA. BDE 209 and hexabromocyclododecane were the two dominant congeners, with mean concentrations of 520 pg/g dw and 1750 pg/g dw, respectively. The concentrations of the total nine PBDE congeners clearly decreased from urban areas to background, but the compositions of individual congeners differed. Proportions of heavier congeners decreased while those of lighter congeners increased, along urban-rural-background transect, providing evidence for an urban fractionation effect. Correlation analysis indicated similar sources for PBDEs, hexabromocyclododecane, and 1,2-bis(2,4,6-tribromophenoxy)-ethane from urban areas but pentabromoethylbenzene was probably present due to long-range atmospheric transport. Principal component analysis was used to determine the characteristics of the relationships among these brominated flame retardants in the field. | WANG Xu REN Nanqi QI Hong MA Wanli LI Yifan | 2009 | Journal of Environmental Sciences2009，21，11： | 15 |
| 15 | Analysis of Autopilot Disengagements Occurring During Autonomous Vehicle Testing显示文摘In present-day highly-automated vehicles, there are occasions when the driving system disengages and the human driver is required to take-over. This is of great importance to a vehicle's safety and ride comfort. In the U.S state of California, the Autonomous Vehicle Testing Regulations require every manufacturer testing autonomous vehicles on public roads to submit an annual report summarizing the disengagements of the technology experienced during testing. On 1 January 2016,seven manufacturers submitted their first disengagement reports:Bosch, Delphi, Google, Nissan, Mercedes-Benz, Volkswagen, and Tesla Motors. This work analyses the data from these disengagement reports with the aim of gaining abetter understanding of the situations in which a driver is required to takeover, as this is potentially useful in improving the Society of Automotive Engineers(SAE) Level 2 and Level 3 automation technologies.Disengagement events from testing are classified into different groups based on attributes and the causes of disengagement are investigated and compared in detail. The mechanisms and time taken for take-over transition occurred in disengagements are studied. Finally, recommendations for OEMs, manufacturers, and government organizations are also discussed. | Chen Lv Dongpu Cao Yifan Zhao Daniel J. Auger Mark Sullman Huaji Wang Laura Millen Dutka Lee Skrypchuk Alexandros Mouzakitis | 2018 | IEEE/CAA Journal of Automatica Sinica2018，5，1： | 15 |
| 16 | A highly homozygous and parthenogenetic human embryonic stem cell line derived from a one-pronuclear oocyte following in vitro fertilization procedure显示文摘因为他们的人的白血球抗原(HLA ) haplotype 将强烈增加与房间线的相对更小的队为某些人口匹配的度,同型结合的人的胚胎的干细胞(hESCs ) 被认为是为 hESC 银行的更好的房间来源。同型结合的 hESCs 能从单性生殖的胚胎被产生,但是仅仅异质接合的 hESCs 用当前的策略被建立了没有第二极的身体挤出,人工地激活卵母细胞。这里,我们在 vitro 授精处理从 one-pronuclear 卵母细胞追随者例程报导一根人的同型结合的转换字符线(chHES-32 ) 的第一成功的推导。chHES-32 房间与正常 hESCs 表示普通标记和基因。他们处于一个无差别的状态被宣传超过一年(>P50 ) 了并且维持了 46 的稳定的 karyotype, XX。当在 vivo 并且在 vitro 区分了时, chHES-32 房间能从所有三胚胎的细菌层形成衍生物。五父亲一般地表示的印的基因和他们与卵母细胞施主相同的 HLA 遗传型的几乎无法发现的表示显示了他们的单性生殖的起源。用染色体宽的单个核苷酸的多型性分析并且 DNA 采指纹, chHES-32 房间的 homozygosity 进一步被证实。结果显示“讨厌”的 one-pronuclear 卵母细胞可能是为人的同型结合、单性生殖的转换字符的潜在的来源,并且为从单性生殖的 haploid 卵母细胞获得同型结合的 hESC 线建议了其他的策略。 | Ge Lin | 2007 | Cell Research2007，17，12： | 15 |
| 17 | Generation of B Cell-Deficient Pigs by Highly Efficient CRISPR/Cas9-Mediated Gene Targeting显示文摘Generating B cell-deficient mutant is the first step to produce human antibody repertoires in large animal models. In this study, we applied the clustered regularly interspaced short palindromic repeat(CRISPR)/CRISPR-associated(Cas) system to target the JHregion of the pig Ig M heavy chain gene which is crucial for B cell development and differentiation. Transfection of Ig M-targeting Cas9 plasmid in primary porcine fetal fibroblasts(PFFs) enabled inducing gene knock out(KO) in up to 53.3% of colonies analyzed, a quarter of which harbored biallelic modification, which was much higher than that of the traditional homologous recombination(HR). With the aid of somatic cell nuclear transfer(SCNT) technology, three piglets with the biallelic Ig M heavy chain gene mutation were produced. The piglets showed no antibody-producing B cells which indicated that the biallelic mutation of the Ig M heavy chain gene effectively knocked out the function of the Ig M and resulted in a B cell-deficient phenotype. Our study suggests that the CRISPR/Cas9 system combined with SCNT technology is an efficient genome-editing approach in pigs. | Fengjiao Chen Ying Wang Yilin Yuan Wei Zhang Zijian Ren Yong Jin Xiaorui Liu Qiang Xiong Qin Chen Manling Zhang Xiaokang Li Lihua Zhao Ze Li Zhaoqiang Wu Yanfei Zhang Feifei Hu Juan Huang Rongfeng Li Yifan Dai | 2015 | Journal of Genetics and Genomics2015，42，8： | 15 |
| 18 | Levels, distributions, and source identification of organochlorine pesticides in the topsoils in Northeastern China显示文摘Seventeen topsoil samples (9 urban, 4 suburban, 3 rural and 1 background) were collected in/around Harbin, a typical city in northeast of China, to measure concentration levels of organocholrine pesticides (OCPs) in topsoil of Northeastern China in 2006. Hexachlorohexanes (HCH), dichlorodiphenyltrichloroe thane (DDT), and hexachlorobenzene (HCB) were detected in soil samples with mean concentrations (in pg/g dry weight (dw)) of 7120, 5425, and 1039, respectively. The mean concentrations for other OCPs were very low, 4.8 pg/g dw for chlordane and 3.3 pg/g dw for endosulfan. Source identification analysis reveals that all OCPs found in soil samples were due to historical use of these chemicals or from other source regions through long- and short-range atmospheric transport. DDT was mainly used in the rural sites, whereas the sources of HCB, chlordane and endosulfan were mainly in the urban area. HCH was found almost equally in both urban and rural area. Soil concentrations of all detected OCPs, except HCHs, in and around Harbin were much lower than those in the southeast of China, which is expected since the use of these OCPs in the former was much lower than that in the latter, however higher HCH concentrations in and around Harbin than those found in most places of the Southeast China is not expected. It is suggested that high HCH concentration in soil of Northeast China was most likely due to long-range atmospheric transport (LRAT) from Southeast China and the cold condensation process. | WANG Xu REN Nanqi QI Hong MA Wanli LI Yifan | 2009 | Journal of Environmental Sciences2009，21，10： | 14 |
| 19 | UH model considering temperature effects显示文摘The influences of temperature on the mechanical behavior of saturated clays are discussed first. Based on the concept of true strength and the revised calculation method of the potential failure stress ratio,the equation of the critical state stress ratio for saturated clays under different temperatures is deduced. Temperature is introduced as a variable into the UH model (3-dimensional elastoplastic model for overconsolidated clays adopting unified hardening parameter) proposed by Yao et al. and then the UH model considering temperature effects is proposed. By means of the transformed stress method proposed by Yao et al.,the proposed model can be applied conveniently to 3-dimensional stress states. The strain-hardening,softening and dilatancy behavior of overconsolidated clays at a given temperature can be described using the proposed model,and the volume change behavior caused by heating can also be predicted. Compared with the modified Cam-clay model,the proposed model requires only one additional parameter to consider the behavior of the decrease of preconsolidation pressure with an increase of temperature. At room temperature,the proposed model can be changed into the original UH model and the modified Cam-clay model for overconsolidated clays and normally consolidated clays,respectively. The considered temperature range here is from the melting point to the boiling point of the pore water (e.g. the experimental temperatures (20°C–95°C) mentioned in this paper are within this range). Comparison with existing test results shows that the model can reasonably describe the basic mechanical behavior of overconsolidated clays under various temperature paths. | YAO YangPing YANG YiFan NIU Lei | 2011 | Science China(Technological Sciences)2011，54，1： | 13 |
| 20 | Myelin Oligodendrocyte Glycoprotein-IgG Contributes to Oligodendrocytopathy in the Presence of Complement, Distinct from Astrocytopathy Induced by AQP4-IgG显示文摘Immunoglobulin G against myelin oligodendrocyte glycoprotein(MOG-Ig G) is detectable in neuromyelitis optica spectrum disorder(NMOSD) without aquaporin-4 Ig G(AQP4-Ig G), but its pathogenicity remains unclear.In this study, we explored the pathogenic mechanisms of MOG-Ig G in vitro and in vivo and compared them with those of AQP4-Ig G. MOG-Ig G-positive serum induced complement activation and cell death in human embryonic kidney(HEK)-293 T cells transfected with human MOG. In C57 BL/6 mice and Sprague-Dawley rats, MOG-Ig G only caused lesions in the presence of complement. Interestingly, AQP4-Ig G induced astroglial damage, while MOGIg G mainly caused myelin loss. MOG-Ig G also induced astrocyte damage in mouse brains in the presence ofcomplement. Importantly, we also observed ultrastructural changes induced by MOG-Ig G and AQP4-Ig G. These findings suggest that MOG-Ig G directly mediates cell death by activating complement in vitro and producing NMOSDlike lesions in vivo. AQP4-Ig G directly targets astrocytes,while MOG-Ig G mainly damages oligodendrocytes. | Ling Fang Xinmei Kang Zhen Wang Shisi Wang Jingqi Wang Yifan Zhou Chen Chen Xiaobo Sun Yaping Yan Allan G. Kermode Lisheng Peng Wei Qiu | 2019 | Neuroscience Bulletin2019，35，5： | 13 |
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