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沃尔巴克氏菌(Wolbachia)结合放射线的应用现场清除白纹伊蚊种群

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中华实验和临床病毒学杂志 2019年第5期33卷 494-494页

作者： Xiaoying Zheng Dongjing Zhang Yongjun Li Cui Yang Yu Wu Xiao Liang Yongkang Liang Xiaoling Pan Linchao Hu Qiang Sun Xiaohua Wang Yingyang Wei Jian Zhu Wei Qian Ziqiang Yan Andrew GParker jeremie r.l.Gilles Kostas Bourtzis Jeremy Bouyer Moxun tang Bo Zheng Jianshe Yu Julian Liu Jiajia Zhuang Zhigang Hu Meichun Zhang Juntao Gong Xiaoyue Hong Zhoubing Zhang Lifeng Lin Qiyong Liu Zhiyong Hu Zhongdao Wu Luke anthony Baton Ary AHoffmann Zhiyong Xi 毛伟(编译) 曾琴(编译) 潘晓玲(编译) 梁国栋(审校) 不详湖南师范大学医学院湖南长沙410013

《自然》杂志近期发表论文介绍中国、美国、国际原子能机构和澳大利亚科学家通过合作于2014—2017年在中国广东省广州市南沙区和番禺区2个江中沙洲岛屿,开展清除白纹伊蚊即登革病毒主要传播蚊虫的现场研究。该研究结合昆虫绝育技术(ster... 详细信息

《自然》杂志近期发表论文介绍中国、美国、国际原子能机构和澳大利亚科学家通过合作于2014—2017年在中国广东省广州市南沙区和番禺区2个江中沙洲岛屿,开展清除白纹伊蚊即登革病毒主要传播蚊虫的现场研究。该研究结合昆虫绝育技术(sterile insect technique,SIT),通过释放携带沃尔巴克氏菌(Wolbachia)的白纹伊蚊雄蚊,而达到靶向消灭现场野生白纹伊蚊的目的。研究结果显示,此项技术可年平均消灭现场白纹伊蚊83%~94%雌性成蚊和94%蚊卵,在部分区域实现了野生白纹伊蚊种群的灭绝。

关键词：白纹伊蚊国际原子能机构登革病毒放射线沃尔巴克应用现场 Wolbachia

The impact of COVID-19 on the birth rate in Nigeria:a report from population-based registries

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Infectious Diseases Research 2023年第1期4卷 14-18页

作者： Charlotte Blanche Oguejiofor Kenechi Miracle Ebubechukwu George Uchenna Eleje Emmanuel Onyebuchi Ugwu Joseph Tochukwu Enebe Kingsley Emeka Ekwuazi Chukwuemeka Chukwubuikem Okoro Boniface Chukwuneme Okpala Charles Chukwunomunso Okafor Nnanyelugo Chima Ezeora Emeka Ifeanyi Iloghalu Chidebe Christian Anikwe Chigozie Geoffrey Okafor Polycarp Uchenna Agu Emeka Philip Igbodike Iffiyeosuo Dennis Ake Arinze anthony Onwuegbuna Osita Samuel Umeononihu Onyedika Promise Anaedu Odigonma Zinobia Ikpeze David Chibuike Ikwuka Henry Ifeanyi Nwaolisa Ekene Agatha Emeka Jude Ogechukwu Okoye Ihechinyerem Kelechi Osuagwu Angela Ogechukwu Ugwu Toochukwu Benjamin Ejikeme Eziamaka Pauline Ezenkwele Chijioke Ogomegbunam Ezeigwe Malarchy Ekwunife Nwankwo Gerald Okanandu Udigwe Joseph Ifeanyichukwu Ikechebelu Grace Agbaeze Chukwuebuka Divine Nwanja Ahizechukwu Chigoziem Eke Department of Obstetrics and Gynecology Nnamdi Azikiwe University Teaching HospitalNnewi PMB 5025Nigeria Preventive Medicine and Research Department Clina-Lancet LaboratoriesVictoria IslandLagos 101241Nigeria Effective Care Research Unit Department of Obstetrics and GynecologyNnamdi Azikiwe UniversityNnewi Campus 435001Nigeria Department of Obstetrics and Gynecology College of MedicineUniversity of Nigeria Enugu CampusEnuguEnugu State 400102Nigeria Department of Obstetrics and Gynecology University of Nigeria Teaching HospitalItuku OzallaEnugu State 400102Nigeria Department of Obstetrics and Gynecology ESUT Teaching HospitalParklaneEnugu 400102Nigeria Medical Department Divine Medical CentreSouth West IkoyiLagos 1001233Nigeria Department of Obstetrics and Gynecology Havana Specialist HospitalSurulereLagos 100011Nigeria Clinical Trial Division Drug Evaluation and Research DirectorateNAFDAC office ComplexLagos 100011Nigeria Department of Ophthalmology Nnamdi Azikiwe UniversityNnewi campus 435001Nigeria Department of Human Physiology Nnamdi Azikiwe University NnewiAnambra State 435001Nigeria Department of Family Medicine Faculty of MedicineNnamdi Azikiwe UniversityAwka 435001Nigeria Department of Medical Laboratory Science Faculty of Health Sciences and TechnologyNnamdi Azikiwe UniversityAwka 435001Nigeria Department of Health Services Federal University of TechnologyOwerri 460103Nigeria Department of Haematology and Immunology College of MedicineUniversity of Nigeria Enugu CampusEnuguEnugu State 400102Nigeria Musgrove Park Hospital Somerset NHS Foundation TrustUnited Kingdom TLTp Medical(UHS) Southampton WS15United Kingdom Division of Maternal Fetal Medicine Department of Gynecology and ObstetricsJohns Hopkins University School of MedicineBaltimore 21201U.S.A

Background and objectives:Coronavirus disease 2019(COVID-19)is a pandemic that has become a major source of morbidity and mortality worldwide,affecting the physical and mental health of individuals influencing *** the threat,it poses to maternal health in sub-Saharan Africa and Nigeria,there is little or no data on the impact it has on fertility,conception,gestation and *** compare the birth rate between pre-COVID and COVID times using selected months of the *** and methods:This was a secondary analysis of cross-sectional analytical study data from the birth registries of three tertiary hospitals,comparing two years[2019(Pre-COVID)]versus[2020(COVID era)]using three months of the year(October to December).The data relied upon was obtained from birth registries in three busy maternity clinics all within tertiary hospitals in South-East Nigeria and we aimed at discussing the potential impacts of COVID-19 on fertility in *** secondary outcome measures were;mode of delivery,booking status of the participants,maternal age and ***:There was a significant decrease in tertiary-hospital based birth rate by 92 births(P=0.0009;95%CI:-16.0519 to-4.1481)among mothers in all the three hospitals in 2020 during the COVID period(post lockdown months)of October to *** was a significant difference in the mode of delivery for mothers(P=0.0096)with a 95%confidence interval of 1.0664 to 1.5916,as more gave birth through vaginal delivery during the 2020 COVID-19 period than ***:Tertiary-hospital based birth rates were reduced during the *** multi-centre study extrapolated on possible factors that may have played a role in this decline in their birth rate,which includes but is not limited to;decreased access to hospital care due to the total lockdowns/curfews and worsening inflation and economic recession in the country.

关键词： birth rates COVID-19 lockdown Nigeria pandemic pre-COVID

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急性卒中影像学研究路径图Ⅱ

国际脑血管病杂志 2014年第2期22卷 81-92页

作者： Max Wintermark Gregory W. Albers Joseph P. Broderick Andrew M. Demchuk Jochen B. Fiebach Jens Fiehler James C. Grotta Gary Houser Tudor G. Jovin Kennedy R. Lees Michael H. Lev David S. Liebeskind Marie Luby Keith W. Muir Mark W. Parsons Rudiger von Kummer Joanna M. Wardlaw Ona Wu Albert J. Yoo Andrei V. Alexandrov Jeffry R. Alger Richard I. Aviv Roland Bammer Jean-Claude Baron Fernando Calamante Bruce C.V. Campbell Trevor C. Carpenter Sφren Christensen William A. Copen Colin P. Derdeyn E. Clarke Haley Jr Pooja Khatri Kohsuke Kudo Maarten G. Lansberg Lawrence L. Latour Ting-Yim Lee Richard Leigh Weili Lin Patrick Lyden Grant Mair Bijoy IC Menon Patrik Michel Robert Mikulik Raul G. Nogueira Left φstergaard Salvador Pedraza Christian H. Riedel Howard A. Rowley Pina C. Sanelli Makoto Sasaki Jeffrey L. Saver Pamela W. Schaefer Peter D. Schellinger Georgios Tsivgoulis Lawrence R. Wechsler Philip M. White Greg Zaharchuk Osama O. Zaidat Stephen M. Davis Geoffrey A. Donnan anthony J. Furlan Werner Hacke Dong-Wha Kang Chelsea Kidw ell Vincent N. Thijs Gotz Thomalla Steven J. Warach 严晓铭刘牧张晶晶柯开富不详南通大学附属医院神经内科 226001

卒中影像学研究组（StrokeImagingResearchGroup，STIR）、美国神经放射学学会和美国神经放射学学会基金会在过去1年多的时间时举办了一系列的工作会议，最后一次会议于2013年3月9日至10日在华盛顿召开的卒中治疗专业学术圆桌会议（Stro... 详细信息

卒中影像学研究组（StrokeImagingResearchGroup，STIR）、美国神经放射学学会和美国神经放射学学会基金会在过去1年多的时间时举办了一系列的工作会议，最后一次会议于2013年3月9日至10日在华盛顿召开的卒中治疗专业学术圆桌会议（Stroke Treatment Academy Industry Roundtable，STAIR）期间举行。

关键词：急性卒中影像学神经放射学路径会议基金会学会美国

Ancient DNA of the pygmy marmoset type specimen Cebuella pygmaea (Spix, 1823) resolves a taxonomic conundrum

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一个基于深度学习的眼病和肺炎两大类疾病的AI诊断系统

动物学研究 2021年第6期

作者： Jean P.Boubli Mareike C.Janiak Leila M.Porter Stella de la Torre Liliana Cortés-Ortiz Maria N.F.da Silva anthony B.Rylands Stephen Nash Fabrício Bertuol Hazel Byrne Felipe E.Silva Fabio Rohe Dorien de Vries Robin M.D.Beck Irune Ruiz-Gartzia Lukas F.K.Kuderna Tomas Marques-Bonet Tomas Hrbek Anneke H.van Heteren Christian Roos Izeni P.Farias

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科学新闻 2019年第2期 33-33页

作者： Daniel S.Kermany Michael Goldbaum Wenjia Cai Carolina C.S.Valentim Huiying Liang Sally L.Baxter Alex McKeown Ge Yang Xiaokang Wu Fangbing Yan Justin Dong Made K.Prasadha Jacqueline Pei Magdalene Y.L.Ting Jie Zhu Christina Li Sierra Hewett Jason Dong Ian Ziyar Alexander Shi Runze Zhang Rui Hou William Shi Xin Fu Yaou Duan Viet A.N. Huu Cindy Wen Edward D. Zhang Charlotte L. Zhang Oulan Li Xiaobo Wang Michael A. Singer Xiaodong Sun Jie Xu Ali Tafreshi M. anthony Lewis Huimin Xia 张康美国加州大学圣地亚哥分校人类基因组医学研究所

文章简介本研究开发了一个基于深度学习框架能诊断致盲性视网膜疾病的人工智能(AI)诊断工具。而且,该AI诊断工具还可用于诊断小儿肺炎。这是一项将AI应用于医疗领域的重磅研究成果,有望高精确诊断多种可治疗性疾病。在眼科治疗中,视网膜... 详细信息

文章简介本研究开发了一个基于深度学习框架能诊断致盲性视网膜疾病的人工智能(AI)诊断工具。而且,该AI诊断工具还可用于诊断小儿肺炎。这是一项将AI应用于医疗领域的重磅研究成果,有望高精确诊断多种可治疗性疾病。在眼科治疗中,视网膜OCT(光学相干断层扫描)

关键词： AI 深度学习

Performance and calibration of quark/gluon-jet taggers using 140 fb^(-1) of pp collisions at √s=13 TeV with the ATLAS detector

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Chinese Physics C 2024年第2期48卷 1-25页

作者： G. Aad B. Abbott K. Abeling N.J. Abicht S.H. Abidi A. Aboulhorma H. Abramowicz H. Abreu Y. Abulaiti B.S. Acharya C. Adam Bourdarios L. Adamczyk S.V. Addepalli M.J. Addison J. Adelman A. Adiguzel T. Adye A.A. Affolder Y. Afik M.N. Agaras J. Agarwala A. Aggarwal C. Agheorghiesei A. Ahmad F. Ahmadov W.S. Ahmed S. Ahuja X. Ai G. Aielli A. Aikot M. Ait Tamlihat B. Aitbenchikh I. Aizenberg M. Akbiyik T.P.A. Åkesson A.V. Akimov D. Akiyama N.N. Akolkar K. Al Khoury G.L. Alberghi J. Albert P. Albicocco G.L. Albouy S. Alderweireldt M. Aleksa I.N. Aleksandrov C. Alexa T. Alexopoulos F. Alfonsi M. Algren M. Alhroob B. Ali H.M.J. Ali S. Ali S.W. Alibocus M. Aliev G. Alimonti W. Alkakhi C. Allaire B.M.M. Allbrooke J.F. Allen C.A. Allendes Flores P.P. Allport A. Aloisio F. Alonso C. Alpigiani M. Alvarez Estevez A. Alvarez Fernandez M. Alves Cardoso M.G. Alviggi M. Aly Y. Amaral Coutinho A. Ambler C. Amelung M. Amerl C.G. Ames D. Amidei S.P. Amor Dos Santos K.R. Amos V. Ananiev C. Anastopoulos T. Andeen J.K. Anders S.Y. Andrean A. Andreazza S. Angelidakis A. Angerami A.V. Anisenkov A. Annovi C. Antel M.T. anthony E. Antipov M. Antonelli F. Anulli M. Aoki T. Aoki J.A. Aparisi Pozo M.A. Aparo L. Aperio Bella C. Appelt A. Apyan N. Aranzabal S.J. Arbiol Val C. Arcangeletti A.T.H. Arce E. Arena J-F. Arguin S. Argyropoulos J.-H. Arling O. Arnaez H. Arnold G. Artoni H. Asada K. Asai S. Asai N.A. Asbah J. Assahsah K. Assamagan R. Astalos S. Atashi R.J. Atkin M. Atkinson H. Atmani P.A. Atmasiddha K. Augsten S. Auricchio A.D. Auriol V.A. Austrup G. Avolio K. Axiotis G. Azuelos D. Babal H. Bachacou K. Bachas A. Bachiu F. Backman A. Badea P. Bagnaia M. Bahmani A.J. Bailey V.R. Bailey J.T. Baines L. Baines O.K. Baker E. Bakos D. Bakshi Gupta V. Balakrishnan R. Balasubramanian E.M. Baldin P. Balek E. Ballabene F. Balli L.M. Baltes W.K. Balunas J. Balz E. Banas M. Bandieramonte A. Bandyopadhyay S. Bansal L. Barak M. Barakat E.L. Barberio D. Barberis M. Barbero M.Z. Barel K.N. Barends T. Barillari M-S. Barisits T. Barklow P. Baron D.A. Baron Mo The ATLAS Collaboration

The identification of jets originating from quarks and gluons,often referred to as quark/gluon tagging,plays an important role in various analyses performed at the Large Hadron Collider,as Standard Model measurements and searches for new particles decaying to quarks often rely on suppressing a large gluon-induced *** paper describes the measurement of the efficiencies of quark/gluon taggers developed within the ATLAS Collaboration,using √s=13 TeV proton–proton collision data with an integrated luminosity of 140 fb^(-1) collected by the ATLAS *** taggers with high performances in rejecting jets from gluon over jets from quarks are studied:one tagger is based on requirements on the number of inner-detector tracks associated with the jet,and the other combines several jet substructure observables using a boosted decision tree.A method is established to determine the quark/gluon fraction in data,by using quark/gluon-enriched subsamples defined by the jet *** in tagging efficiency between data and simulation are provided for jets with transverse momentum between 500 GeV and 2 TeV and for multiple tagger working points.

关键词： ATLAS JET QUARK GLUON TAGGING