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欧洲禁用促生长抗生素及其对人畜健康的影响

农村养殖技术（新兽医） 2005年第9期 22-24页

作者：邹华（译编） Mark Casewell Christian Friis Enric Marco Paul McMullin lan phillips 不详英国国王·圣托马斯医学院传染病系丹麦皇家兽医和农业大学西班牙巴塞罗那B＆M咨询公司英国北约克夏家禽保健服务公司英国伦敦大学

饲用抗生素的使用与食品安全及贸易壁垒两大热点关系紧密。业内对饲用抗生素的使用多持“远离”观点，甚至推崇让饲料及畜产品“无抗”。《欧洲禁用促生长抗生素及其对人畜健康的影响》提出的观点是：合理科学地使用动物专用促生长抗生... 详细信息

饲用抗生素的使用与食品安全及贸易壁垒两大热点关系紧密。业内对饲用抗生素的使用多持“远离”观点，甚至推崇让饲料及畜产品“无抗”。《欧洲禁用促生长抗生素及其对人畜健康的影响》提出的观点是：合理科学地使用动物专用促生长抗生素，不仅能促进动物的生长和健康，而且可以预防动物疾病，从而生产出健康安全的动物蛋白。欧洲的教训告诉我们，停用动物专用促生长抗生素，不仅影响了动物的健康和福利及养殖者的经济效益，而且造成人畜共用的治疗性抗生素用量大幅增长和食品卫生受到污染，可能进而影响到人的健康。中国地域辽阔，饲养管理千差万别，卫生状况不尽人意，除采用疫苗预防病毒性疾病外，科学合理谨慎地使用动物专用抗生素预防细菌性疾病，可收到事半功倍的效果。《论战场》力求为业内搭建“百家争鸣”的平台，请持不同意见的专家来稿、来函参与讨论。

关键词：饲用抗生素人畜健康促生长欧洲禁用动物疾病疫苗预防科学合理病毒性疾病

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通货膨胀先行指标和预测方法的国际比较

当代经济科学 2009年第1期31卷 120-123页

作者：丁岚吴卫星对外经济贸易大学国际商学院北京100029 对外经济贸易大学金融学院北京100029

通货膨胀的准确预测是中央银行货币政策有效实施的一个基础,本文主要研究了先行指标方法在通货膨胀预测中的应用。本文首先研究了几种主要的通货膨胀预测模型,然后对通货膨胀预测模型在部分国家和地区央行的应用进行了比较。

关键词：通货膨胀预测先行指标 phillips曲线 P*模型

CR、DR在股骨颈仰卧水平侧位中的应用对比

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中国医疗设备 2008年第12期23卷 125-126页

作者：田岚苏州大学附属第二医院放射科江苏苏州215004

目的通过CR、DR的使用,优选出股骨颈仰卧水平侧位最佳的摄影方法和处理技术。方法应用一台CR和两台不同探测器的DR分别摄取股骨颈仰卧水平侧位,进行对比。结果通过对比,发现飞利浦DR依靠便捷的设备特点和优质的影像质量取得了相对满意... 详细信息

目的通过CR、DR的使用,优选出股骨颈仰卧水平侧位最佳的摄影方法和处理技术。方法应用一台CR和两台不同探测器的DR分别摄取股骨颈仰卧水平侧位,进行对比。结果通过对比,发现飞利浦DR依靠便捷的设备特点和优质的影像质量取得了相对满意的结果。结论使用非晶体硅平板探测器的飞利浦系统,能够摄取较高质量的股骨颈仰卧水平侧位片。

关键词：股骨颈仰卧水平侧位片 CR DR

青海省18岁及以上人群精神障碍流行病学调查

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中国心理卫生杂志 2010年第3期24卷 168-174,190页

作者：宋志强杜欣柏韩国玲简冶拉刘川费立鹏李献云安海生申柏岭郑涛刘兰香阿怀红青海省第三人民医院西宁810007 北京回龙观医院北京心理危机研究与干预中心北京100096

目的:了解青海省成年人群精神障碍的患病率及分布特点。方法:采用多阶段分层整群抽样方法抽取青海省≥18岁人群12001人,用扩展的一般健康问卷(GHQ-12)筛查,将调查对象分为精神障碍高、中、低危险组,然后用美国精神障碍诊断与统计手册(DS... 详细信息

目的:了解青海省成年人群精神障碍的患病率及分布特点。方法:采用多阶段分层整群抽样方法抽取青海省≥18岁人群12001人,用扩展的一般健康问卷(GHQ-12)筛查,将调查对象分为精神障碍高、中、低危险组,然后用美国精神障碍诊断与统计手册(DSM-IV)轴Ⅰ障碍定式临床检查患者版对不同比例的三组人群进行诊断检查。将计算出的患病率调整并推广至青海省370万成年人口。结果:11178人完成了调查。调整后精神障碍总的现患率(最近1个月)为18.04%,95%可信区间(95%CI)为15.99%～20.28%;患病率前三位的分别是酒精使用障碍(12.24%)、广泛性焦虑障碍(1.40%)和心境恶劣障碍(1.13%)。男性精神障碍总的现患率及酒精使用障碍的现患率均明显高于女性[(27.92%vs.7.47%,23.39%vs.0.30%;OR(95%CI)=4.80(3.81～6.05),OR(95%CI)=100.22(35.07～286.38)];农村与城市居民精神障碍总的患病率差异无统计学意义(18.33%vs.17.08%,OR=1.09,95%CI:0.76～1.56)。在有精神障碍的人群中,功能损害程度为中等到严重者占15.48%,但仅2.59%有精神障碍者曾经因心理问题在医疗机构就诊,仅0.94%曾在精神科就诊。结论:青海省酒精使用障碍是特别需要关注的公共卫生问题。

关键词：精神障碍患病率青海省现况调查

DEVELOPMENT OF HIGHLY POTENT,SELECTIVE,AND ORALLY AVAILABLE NON-AMIDINE FACTOR XA INHIBITORS.

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DEVELOPMENT OF HIGHLY POTENT,SELECTIVE,AND ORALLY AVAILABLE ...

40th IUPAC Congress

作者： Marc Adler Sarah Cheeseman Yuo-Ling Chou David D. Davey Keith A. Eagen Richard Fitch Brian D. Griedel Janice Heidersbach Rushad Karanjawala Wheeseong Lee Dao Lentz Amy Liang Michael M. Morrissey Gary B. phillips Joseph Post Karna L. Sacchi Steven T. Sakata Kenneth J. Shaw R. Michael Snider Babu Subramanyam lan Trinh Ron Vergona Janette Walters Kathy A. White Marc Whitlow Shung C. Wu Monica J. Kochanny Berlex Biosciences 2600 Hilltop DriveRichmondCA 94804USA Berlex Biosciences 2600 Hilltop DriveRichmondCA 94804USA Berlex Biosciences 2600 Hilltop DriveRichmondCA 94804USA Berlex Biosciences 2600 Hilltop DriveRichmondCA 94804USA Berlex Biosciences 2600 Hilltop DriveRichmondCA 94804USA Berlex Biosciences 2600 Hilltop DriveRichmondCA 94804USA Berlex Biosciences 2600 Hilltop DriveRichmondCA 94804USA Berlex Biosciences 2600 Hilltop DriveRichmondCA 94804USA Berlex Biosciences 2600 Hilltop DriveRichmondCA 94804USA Berlex Biosciences 2600 Hilltop DriveRichmondCA 94804USA Berlex Biosciences 2600 Hilltop DriveRichmondCA 94804USA Berlex Biosciences 2600 Hilltop DriveRichmondCA 94804USA Berlex Biosciences 2600 Hilltop DriveRichmondCA 94804USA Berlex Biosciences 2600 Hilltop DriveRichmondCA 94804USA Berlex Biosciences 2600 Hilltop DriveRichmondCA 94804USA Berlex Biosciences 2600 Hilltop DriveRichmondCA 94804USA Berlex Biosciences 2600 Hilltop DriveRichmondCA 94804USA Berlex Biosciences 2600 Hilltop DriveRichmondCA 94804USA Berlex Biosciences 2600 Hilltop DriveRichmondCA 94804USA Berlex Biosciences 2600 Hilltop DriveRichmondCA 94804USA Berlex Biosciences 2600 Hilltop DriveRichmondCA 94804USA Berlex Biosciences 2600 Hilltop DriveRichmondCA 94804USA Berlex Biosciences 2600 Hilltop DriveRichmondCA 94804USA Berlex Biosciences 2600 Hilltop DriveRichmondCA 94804USA Berlex Biosciences 2600 Hilltop DriveRichmondCA 94804USA Berlex Biosciences 2600 Hilltop DriveRichmondCA 94804USA Berlex Biosciences 2600 Hilltop DriveRichmondCA 94804USA

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CT机型与管电压对图像质量影响的体模研究

CT理论与应用研究（中英文） 2022年第3期31卷 345-350页

作者：方姝陈琳钰陈勇董海鹏王兰闵佶华上海交通大学医学院附属瑞金医院放射科上海200025

目的:使用体模评价两种CT机型两组管电压下的图像质量。方法:采用西门子SOMATOM Force CT和飞利浦IQon Spectral CT分别扫描Catphan500图像质量控制体模的CTP 528和CTP 515组件。对比研究两台机器4组图像,分别为Force,Force,IQon以及IQo... 详细信息

目的:使用体模评价两种CT机型两组管电压下的图像质量。方法:采用西门子SOMATOM Force CT和飞利浦IQon Spectral CT分别扫描Catphan500图像质量控制体模的CTP 528和CTP 515组件。对比研究两台机器4组图像,分别为Force,Force,IQon以及IQon图像;4组图像均为20 mGy剂量。评价指标包括高对比度分辨率[CTP 528最佳线对(1~2 lp/cm)]、低对比度分辨率[CTP 515 1%浓度下最小孔径(直径2~15 mm)]、图像噪声、对比噪声比(CNR)和信噪比(SNR)。结果:Force和IQon两组图像的高对比度分辨率最高(均为6 lp/cm)。4组图像低对比度分辨率相同(最小孔径均为5 mm)。Force图像噪声最小(2.500±0.000),且SNR最高(30.806±1.398);噪声和SNR在4组图像间差异具有统计学意义。IQon图像的CNR最高(3.325±0.300),各组图像间差异无统计学意义。结论:不同机型不同管电压下的图像质量存在差异;两台机器120 kVp图像的对比度分辨率略好于140 kVp图像;Force CT的120 kVp图像相比140 kVp图像的图像噪声更小,而IQon Spectral CT的两组图像噪声参数无显著差别。

关键词： CT 管电压图像质量体模

Fungal diversity notes 1387-1511:taxonomic and phylogenetic contributions on genera and species of fungal taxa

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Fungal Diversity 2021年第6期111卷 1-335页

作者： Saranyaphat Boonmee Dhanushka N.Wanasinghe Mark S.Calabon Naruemon Huanraluek Sajini K.U.Chandrasiri Gareth E.B.Jones Walter Rossi Marco Leonardi Sanjay K.Singh Shiwali Rana Paras N.Singh Deepak K.Maurya Ajay C.Lagashetti Deepika Choudhary Yu-Cheng Dai Chang-Lin Zhao Yan-Hong Mu Hai-Sheng Yuan Shuang-Hui He Rungtiwa Phookamsak Hong-Bo Jiang María P.Martín Margarita Dueñas MTeresa Telleria Izabela L.Kałucka Andrzej M.Jagodziński Kare Liimatainen Diana S.Pereira Alan J.L.phillips Nakarin Suwannarach Jaturong Kumla Surapong Khuna Saisamorn Lumyong Tarynn B.Potter Roger G.Shivas Adam H.Sparks Niloofar Vaghefi Mohamed A.Abdel-Wahab Faten A.Abdel-Aziz Guo-Jie Li Wen-Fei Lin Upendra Singh Rajendra P.Bhatt Hyang Burm Lee Thuong T.T.Nguyen Paul M.Kirk Arun Kumar Dutta Krishnendu Acharya VVenkateswara Sarma M.Niranjan Kunhiraman C.Rajeshkumar Nikhil Ashtekar Sneha Lad Nalin N.Wijayawardene Darbe J.Bhat Rong-Ju Xu Subodini N.Wijesinghe Hong-Wei Shen Zong-Long Luo Jing-Yi Zhang Phongeun Sysouphanthong Naritsada Thongklang Dan-Feng Bao Janith V.S.Aluthmuhandiram Jafar Abdollahzadeh Alireza Javadi Francesco Dovana Muhammad Usman Abdul Nasir Khalid Asha J.Dissanayake Anusha Telagathoti Maraike Probst Ursula Peintner Isaac Garrido-Benavent Lilla Bóna Zsolt Merényi Lajos Boros Bratek Zoltán JBenjamin Stielow Ning Jiang Cheng-Ming Tian Esmaeil Shams Farzaneh Dehghanizadeh Adel Pordel Mohammad Javan-Nikkhah Teodor T.Denchev Cvetomir M.Denchev Martin Kemler Dominik Begerow Chun-Ying Deng Emma Harrower Tohir Bozorov Tutigul Kholmuradova Yusufjon Gafforov Aziz Abdurazakov Jian-Chu Xu Peter E.Mortimer Guang-Cong Ren Rajesh Jeewon Sajeewa S.N.Maharachchikumbura Chayanard Phukhamsakda Ausana Mapook Kevin D.Hyde Center of Excellence in Fungal Research Mae Fah Luang UniversityChiang Rai 57100Thailand School of Science Mae Fah Luang UniversityChiang Rai 57100Thailand CAS Key Laboratory for Plant Biodiversity and Biogeography of East Asia(KLPB) Kunming Institute of BotanyChinese Academy of ScienceKunming 650201YunnanPeople’s Republic of China CIFOR-ICRAF China Program World Agroforestry(ICRAF)Kunming 650201YunnanPeople’s Republic of China Honghe Center for Mountain Futures Kunming Institute of BotanyHonghe CountyKunming 654400YunnanPeople’s Republic of China Department of Botany and Microbiology College of ScienceKing Saud UniversityP.O.Box 2455Riyadh 11451Saudi Arabia Section Environmental Sciences Department MeSVAUniversity of L’Aquila67100 CoppitoAQItaly National Fungal Culture Collection of India(NFCCI) Biodiversity and Palaeobiology GroupMACS Agharkar Research InstituteG.G.Agarkar RoadPune 411004India Institute of Microbiology School of Ecology and Nature ConservationBeijing Forestry UniversityBeijing 100083People’s Republic of China College of Biodiversity Conservation Southwest Forestry UniversityKunming 650224People’s Republic of China CAS Key Laboratory of Forest Ecology and Management Institute of Applied EcologyChinese Academy of SciencesShenyang 110164People’s Republic of China University of the Chinese Academy of Sciences Beijing 100049People’s Republic of China Centre for Mountain Futures(CMF) Kunming Institute of BotanyKunming 650201YunnanPeople’s Republic of China Department of Mycology Real Jardín Botánico-CSICPlaza de Murillo 228014 MadridSpain Department of Algology and Mycology Faculty of Biology and Environmental ProtectionUniversity of LodzBanacha 12/1690-237ŁódźPoland Institute of Dendrology Polish Academy of SciencesParkowa 562-035 KórnikPoland Jodrell Laboratory Royal Botanic GardensKewRichmond TW93DSSurreyUK Faculdade de Ciências Biosystems and Integrative Sciences Institute(BioISI)Universidade de LisboaCampo Grande1749-016 LisbonPortugal Dep

This article is the 13th contribution in the Fungal Diversity Notes series,wherein 125 taxa from four phyla,ten classes,31 orders,69 families,92 genera and three genera incertae sedis are treated,demonstrating worldwide and geographic *** taxa described and illustrated in the present study include three new genera,69 new species,one new com-bination,one reference specimen and 51 new records on new hosts and new geographical *** new genera,Cylindrotorula(Torulaceae),Scolecoleotia(Leotiales genus incertae sedis)and Xenovaginatispora(Lindomycetaceae)are introduced based on distinct phylogenetic lineages and unique *** described species are Aspergillus lan-naensis,Cercophora dulciaquae,Cladophialophora aquatica,Coprinellus punjabensis,Cortinarius alutarius,***-latus,***,Coryneum fagi,Cruentomycena uttarakhandina,Cryptocoryneum rosae,Cyathus uniperidiolus,Cylindrotorula indica,Diaporthe chamaeropicola,Didymella azollae,Diplodia alanphillipsii,Dothiora coronicola,Efibula rodriguezarmasiae,Erysiphe salicicola,Fusarium queenslandicum,Geastrum gorgonicum,***,Helicosporium sexualis,Helminthosporium chiangraiensis,Hongkongmyces kokensis,Hydrophilomyces hydraenae,Hygrocybe boertmannii,Hyphoderma australosetigerum,Hyphodontia yunnanensis,Khaleijomyces umikazeana,Laboulbenia divisa,Laboulbenia triarthronis,Laccaria populina,Lactarius pallidozonarius,Lepidosphaeria strobelii,Longipedicellata megafusiformis,Lophiotrema lincangensis,Marasmius benghalensis,***,***,Mariannaea camelliae,Mel-anographium smilaxii,Microbotryum polycnemoides,Mimeomyces digitatus,Minutisphaera thailandensis,Mortierella solitaria,Mucor harpali,Nigrograna jinghongensis,Odontia huanrenensis,***,Paraconiothyrium ajrekarii,Par-afuscosporella niloticus,Phaeocytostroma yomensis,Phaeoisaria synnematicus,Phanerochaete hainanensis,Pleopunctum thailandicum,Pleurotheciella dimorphospora,Pseudochaetosphaeronema

关键词： 72 new taxa One new combination One reference specimen 51 new records Agaricomycetes Ascomycota Bartheletiomycetes Basidiomycota Dothideomycetes Eurotiomycetes Exobasidiomycetes Laboulbeniomycetes Leotiomycetes Mortierellomycetes Mortierellomycota Mucoromycetes Mucoromycota Phylogeny Sordariomycetes Taxonomy

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