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股骨近端防旋髓内钉治疗老年股骨转子间骨折112例

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中华创伤杂志 2011年第11期27卷 990-994页

作者：李慧武孙月华史定伟唐坚俞超龚伟华朱振安王友戴尅戎上海交通大学医学院附属第九人民医院骨科 200011

目的探讨股骨近端防旋髓内钉（proximal femoral nail antirotation，PFNA）治疗老年股骨转子间骨折的手术疗效。方法自2007年4月至2009年7月应用PFNA治疗股骨转子间骨折112例，其中男34例，女78例；平均年龄76岁。AO分型：31-A2型80例... 详细信息

目的探讨股骨近端防旋髓内钉（proximal femoral nail antirotation，PFNA）治疗老年股骨转子间骨折的手术疗效。方法自2007年4月至2009年7月应用PFNA治疗股骨转子间骨折112例，其中男34例，女78例；平均年龄76岁。AO分型：31-A2型80例，31-A3型32例。singh指数分类：Ⅰ级4例，Ⅱ级21例，Ⅲ级70例，Ⅳ级15例；骨折前2例跛行。低能量损伤97例，高能量损伤15例。采用Salvati—Wilson评分对髋关节功能进行评估。结果112例患者中90例接受12～24个月随访，平均18．6个月。Salvati—Wilson评分为（29．98±5．18）分：优41例，良40例，可6例，差3例，优良率为90％。术中主要问题为插钉困难22例，其中3例患者在插钉过程中导致股骨近端外侧皮质破裂。敲击螺旋刀片过程中造成骨折断端不同程度的移位或分离34例，远端锁钉困难9例。术后并发症中局部并发症包括髋部疼痛21例，股部疼痛4例，明显髋内翻2例，延迟愈合7例。无论singh指数为何种类型均未见螺旋刀片切出或穿透股骨头，也末见股骨干骨折发生。全身并发症包括心脑血管疾病1例，肺部感染4例，深静脉栓塞1例，会阴部淤血或肿胀17例。结论PFNA是治疗股骨转子间骨折特别是骨质疏松性骨折的有效方法，但骨折延迟愈合以及髓内钉与股骨近端形态的不匹配还有待进一步解决。

关键词：股骨骨折骨折固定术,内治疗结果

唑来膦酸联合PFNA内固定治疗骨质疏松性股骨转子间骨折术后内固定失败风险因素分析

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中国骨与关节杂志 2020年第8期9卷 604-610页

作者：陈文锋吴利军徐瑞生吴洁石无锡市锡山人民医院鹅湖分院骨科江苏214116 无锡市江南大学附属医院骨科江苏214116

目的探讨唑来膦酸联合股骨近端防旋髓内钉(proximal femoral nail antirotation,PFNA)内固定治疗骨质疏松性股骨转子间骨折的疗效以及影响内固定失败的风险因素。方法对2014年1月至2017年12月我院收治的240例骨质疏松性股骨转子间骨折... 详细信息

目的探讨唑来膦酸联合股骨近端防旋髓内钉(proximal femoral nail antirotation,PFNA)内固定治疗骨质疏松性股骨转子间骨折的疗效以及影响内固定失败的风险因素。方法对2014年1月至2017年12月我院收治的240例骨质疏松性股骨转子间骨折患者的临床资料进行分析,其中男103例,女137例。根据随机数字表法分为观察组和对照组,每组120例。对照组男55例、女65例,骨折分型分为A1.1~A2.1型40例,A2.2~A3.3型80例,致伤原因分为触地跌伤72例和交通伤48例,平均年龄(71.64±3.97)岁。观察组男48例、女72例,A1.1~A2.1型46例,A2.2~A3.3型74例,致伤原因分为触地跌伤66例和交通伤54例,平均年龄(70.89±3.15)岁。所有患者均行PFNA内固定术,术后对照组给予维D钙片补充,观察组在对照组基础上静脉注射唑来膦酸。比较两组的骨折愈合时间,采用Harris评分评估患者的髋关节功能,记录内固定失败例数,并进行单因素分析和多元Logistic回归分析。结果对照组发生4例失访,观察组发生6例失访。对照组和观察组术前各指标比较,差异无统计学意义(P>0.05)。术后3个月、6个月,观察组的腰椎和股骨颈骨密度高于对照组,两组相比差异有统计学意义(P=0.000);观察组术后3个月、6个月、12个月的Harris评分高于对照组,两组相比差异有统计学意义(P=0.000)。对照组和观察组内固定失败率分别为11.21%、2.63%,两组比较差异有统计学意义(P=0.011)。两组围术期其它并发症发生率相比,差异无统计学意义(P>0.05)。观察组的愈合时间(12.03±1.96)周小于对照组(13.68±1.47)周,两组相比差异有统计学意义(P=0.000)。对照组术后1年新发骨折16例,观察组2例,两组相比差异有统计学意义(P=0.001)。单因素和多因素Logistic回归分析表明:AO分型A2.2~A3.3、尖顶距TAD≥25 mm、术前singh指数1~3级、外壁分型Ⅱ-Ⅲ型、合并内科疾病是PFNA内固定失败的风险因素,使用唑来膦酸是其保护因素(P<0.05)。结论唑来膦酸联合PFNA内固定能缩短骨质疏松性股骨转子间骨折术后愈合时间,改善髋关节功能和骨密度,有利于降低内固定失败风险。

关键词：唑来膦酸骨质疏松股骨骨折骨折固定术,内危险因素

老年股骨粗隆间骨折PFNA失败的危险因素分析

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中国矫形外科杂志 2020年第4期28卷 292-296页

作者：周钰卓齐宇新马腾洋王志康治林李珂王维山史晨辉石河子大学医学院第一附属医院骨科中心新疆石河子市832000

[目的]探讨股骨近端防旋髓内钉(PFNA)内固定治疗股骨粗隆间骨折术后发生内固定失败的相关危险因素。[方法]回顾性分析2013年1月~2017年6月本院采用PFNA内固定治疗,且随访资料完整的184例患者。按随访过程中是否发生内固定失败,将患者分... 详细信息

[目的]探讨股骨近端防旋髓内钉(PFNA)内固定治疗股骨粗隆间骨折术后发生内固定失败的相关危险因素。[方法]回顾性分析2013年1月~2017年6月本院采用PFNA内固定治疗,且随访资料完整的184例患者。按随访过程中是否发生内固定失败,将患者分为两组,比较两组间各因素的差异,并行逻辑回归分析导致内固定失败的危险因素。[结果] 184例患者随访18~24个月,平均(21.10±2.15)个月。随访过程中,32例发生内固定失败,占17.39%,其余152例内固定成功,占82.61%。两组在性别构成、年龄、侧位对位差和刀片区域的差异无统计学意义(P>0.05)。但是,失败组不稳定性骨折比率显著高于成功组(Psingh指数骨质疏松程度显著重于成功组(P<0.05),失败组的尖顶距显著大于成功组(P<0.05),失败组外侧壁完整性显著差于成功组(P<0.05)。逻辑回归分析结果表明:不稳定型骨折(OR=8.299,P=0.044)、外侧壁厚度小(OR=1 010.867,P=0.001)、骨质疏松程度重(OR=6.453,P=0.023)、尖顶距大(OR=2.846,P=0.026)、外侧壁完整性差(OR=8.678,P=0.025)是内固定失败的危险因素。[结论]不稳定型骨折、外侧壁厚度小,骨质疏松程度重、尖顶距大和外侧壁完整性差是老年股骨粗隆间骨折PFNA内固定失败的危险因素。

关键词：老年人股骨粗隆间骨折股骨近端防旋髓内钉(PFNA) 内固定失败危险因素

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发展中国家数据出版基础设施与共享政策研究

全球变化数据学报（中英文） 2017年第1期1卷 3-11,126-134页

作者：刘闯郭华东 Paul F.Uhlir 葛全胜周翔石瑞香龚克 Mable Imbuga 顾行发 Mika Odido 廖小罕陈军 Tomoko Doko 陈文波 Simon Hodson Jean-Bernard Minster Edith Madela-Mntla Nordin Hasan 江东诸云强王长林 Peter Wittenburg 褚文博徐新良何书金吕婷婷 R.B.singh Vladimir Tikunov 王桥中国科学院地理科学与资源研究所北京100101中国中国科学院遥感与数字地球研究所北京100101中国美国科学院美国华盛顿20541 南开大学天津300071 穆肯尼亚塔农业与技术大学肯尼亚内罗毕P.O.Box 62000-00200 联合国教科文组织东非办公室肯尼亚内罗毕P.O.Box 72107-00200 国家基础地理信息中心北京100830 庆应义塾大学日本藤泽2520882 国际科学技术数据委员会办公室法国巴黎75116 加州大学圣地亚哥分校美国加利福尼亚92093 国际科学理事会非洲办公室南非普利托利亚0020 国际科学理事会亚洲办公室马来西亚吉隆坡50450 马普学会数据基础设施中心德国莫尼黑85748 国际地球观测组织秘书处瑞士日内瓦1211 德里大学印度德里110007 莫斯科大学俄罗斯莫斯科119991 环境保护部卫星环境应用中心北京100094

全球变化科学数据是人类宝贵的科技资源。兼顾保护数据知识产权和推动数据广泛共享是科学数据界长期存在的普遍难题。数据出版(元数据、实体数据、数据论文关联出版)是解决这个难题的有效机制。发展中国家科学数据共享原则执行过程中,... 详细信息

全球变化科学数据是人类宝贵的科技资源。兼顾保护数据知识产权和推动数据广泛共享是科学数据界长期存在的普遍难题。数据出版(元数据、实体数据、数据论文关联出版)是解决这个难题的有效机制。发展中国家科学数据共享原则执行过程中,亟需数据出版基础设施和能力建设。"全球变化科学研究数据出版系统"(中英文)在保护数据知识产权和促进数据共享方面作出实践性案例,在数据产权认证、数据质量标准、同行专家评审、数据长期保藏、数据开放共享、国际资质联网等方面的成果为数据的增值起到关键性作用。《全球变化数据学报》(中英文)是该系统重要组成部分。该系统成为世界各国全球变化科学研究领域学者、特别是发展中国家学者可信赖的、国际组织(WDS、GEOSS、CODATA、Clarivate Analytics等)认可的、数据出版和共享世界性基础设施。

关键词：全球变化数据出版发展中国家数据基础设施共享政策

Fungal diversity notes 1512–1610: taxonomic and phylogenetic contributions on genera and species of fungal taxa

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Fungal Diversity 2022年第6期117卷 1-272页

作者： Ruvishika S.Jayawardena Kevin D.Hyde Song Wang Ya‑Ru Sun Nakarin Suwannarach Phongeun Sysouphanthong Mohamed A.Abdel‑Wahab Faten A.Abdel‑Aziz Pranami D.Abeywickrama Vanessa P.Abreu Alireza Armand AndréAptroot Dan‑Feng Bao Dominik Begerow Jean‑Michel Bellanger Jadson D.P.Bezerra Digvijayini Bundhun Mark S.Calabon Ting Cao Taimy Cantillo João LVRCarvalho Napalai Chaiwan Che‑Chih Chen Régis Courtecuisse Bao‑Kai Cui Ulrike Damm Cvetomir M.Denchev Teodor T.Denchev Chun Y.Deng Bandarupalli Devadatha Nimali Ide Silva Lidiane Ados Santos Nawal K.Dubey Sylvain Dumez Himashi SFerdinandez André L.Firmino Yusufon Gaforov Achala J.Gajanayake Deecksha Gomdola Sugantha Gunaseelan Shucheng‑He Zin H.Htet Malarvizhi Kaliyaperumal Martin Kemler Kezhocuyi Kezo Nuwan DKularathnage Marco Leonardi Ji‑Peng Li Chunfang Liao Shun Liu Michael Loizides Thatsanee Luangharn Jian Ma Hugo Madrid S.Mahadevakumar Sajeewa S.N.Maharachchikumbura Dimuthu S.Manamgoda María P.Martín Niranjan Mekala Pierre‑Arthur Moreau Yan‑Hong Mu Pasouvang Pahoua Dhandevi Pem Olinto L.Pereira Wiphawanee Phonrob Chayanard Phukhamsakda Mubashar Raza Guang‑Cong Ren Andrea C.Rinaldi Walter Rossi Binu C.Samarakoon Milan CSamarakoon Vemuri V.Sarma Indunil C.Senanayake Archana singh Maria F.Souza Cristina M.Souza‑Motta Adriano A.Spielmann Wenxin Su Xia Tang XingGuo Tian Kasun M.Thambugala Naritsada Thongklang Danushka S.Tennakoon Nopparat Wannathes DingPeng Wei Stéphane Welti Subodini N.Wijesinghe Hongde Yang Yunhui Yang Hai‑Sheng Yuan Huang Zhang Jingyi Zhang Abhaya Balasuriya Chitrabhanu SBhunjun Timur S.Bulgakov Lei Cai Erio Camporesi Putarak Chomnunti Y.S.Deepika Mingkwan Doilom Wei‑Jun Duan shi‑Ling Han Naruemon Huanraluek EBGareth Jones NLakshmidevi Yu Li Saisamorn Lumyong Zong‑Long Luo Surapong Khuna Jaturong Kumla Ishara S.Manawasinghe Ausana Mapook Wilawan Punyaboon Saowaluck Tibpromma Yong‑Zhong Lu JiYe Yan Yong Wang Center of Excellence in Fungal Research Mae Fah Luang UniversityChiang Rai 57100Thailand School of Science Mae Fah Luang UniversityChiang Rai 57100Thailand Innovative Institute for Plant Health Zhongkai University of Agriculture and EngineeringGuangzhou 510225P.R.China Department of Plant Pathology College of AgricultureGuizhou UniversityGuiyang 550025GuizhouChina Research Center of Microbial Diversity and Sustainable Utilization Chiang Mai UniversityChiang Mai 50200Thailand Department of Biology Faculty of ScienceChiang Mai UniversityChiang Mai 50200Thailand Biotechnology and Ecology Institute Ministry of Agriculture and ForestryP.O.Box:811Vientiane CapitalLao PDR Department of Botany and Microbiology Faculty of ScienceSohag UniversitySohag 82524Egypt Beijing Key Laboratory of Environment-Friendly Management on Fruit Diseases and Pests in North China Institute of Plant ProtectionBeijing Academy of Agriculture and Forestry SciencesBeijing 100097China Departamento de Fitopatologia Universidade Federal de ViçosaViçosaMinas GeraisBrazil Laboratório de Botânica/Liquenologia Instituto de BiociênciasUniversidade Federal de Mato Grosso do SulAvenida Costa e Silva S/NBairro UniversitárioCampo GrandeMato Grosso do Sul CEP 79070-900Brazil College of Agriculture and Biological Sciences Dali UniversityDali 671003YunnanChina Department of Entomology and Plant Pathology Faculty of AgricultureChiang Mai UniversityChiang Mai 50200Thailand Institute of Plant Science and Microbiology Universität HamburgOrganismic Botany and MycologyOhnhorststr.1822609 HamburgGermany CEFE CNRSUniv.MontpellierEPHEIRDINSERM1919Route de Mende34293 Montpellier Cedex 5France Setor de Micologia Departamento de Biociências e TecnologiaInstituto de Patologia Tropical e Saúde PúblicaUniversidade Federal de GoiásRua 235S/NSetor UniversitárioGoiâniaGO CEP:74605-050Brazil Division of Biological Sciences College of Arts and SciencesUniversity of the Philippines Visayas5023 MiagaoIloiloPhilippines CA

This article is the 14th in the Fungal Diversity Notes series,wherein we report 98 taxa distributed in two phyla,seven classes,26 orders and 50 families which are described and *** in this study were collected from Australia,Brazil,Burkina Faso,Chile,China,Cyprus,Egypt,France,French Guiana,India,Indonesia,Italy,Laos,Mexico,Russia,Sri Lanka,Thailand,and *** are 59 new taxa,39 new hosts and new geographical distributions with one new *** 59 new species comprise Angustimassarina kunmingense,Asterina lopi,Asterina brigadeirensis,Bartalinia bidenticola,Bartalinia caryotae,Buellia pruinocalcarea,Coltricia insularis,Colletotrichum fexuosum,Colletotrichum thasutense,Coniochaeta caraganae,Coniothyrium yuccicola,Dematipyriforma aquatic,Dematipyriforma globispora,Dematipyriforma nilotica,Distoseptispora bambusicola,Fulvifomes jawadhuvensis,Fulvifomes malaiyanurensis,Fulvifomes thiruvannamalaiensis,Fusarium purpurea,Gerronema atrovirens,Gerronema favum,Gerronema keralense,Gerronema kuruvense,Grammothele taiwanensis,Hongkongmyces changchunensis,Hypoxylon inaequale,Kirschsteiniothelia acutisporum,Kirschsteiniothelia crustaceum,Kirschsteiniothelia extensum,Kirschsteiniothelia septemseptatum,Kirschsteiniothelia spatiosum,Lecanora immersocalcarea,Lepiota subthailandica,Lindgomyces guizhouensis,Marthe asmius pallidoaurantiacus,Marasmius tangerinus,Neovaginatispora mangiferae,Pararamichloridium aquisubtropicum,Pestalotiopsis piraubensis,Phacidium chinaum,Phaeoisaria goiasensis,Phaeoseptum thailandicum,Pleurothecium aquisubtropicum,Pseudocercospora vernoniae,Pyrenophora verruculosa,Rhachomyces cruralis,Rhachomyces hyperommae,Rhachomyces magrinii,Rhachomyces platyprosophi,Rhizomarasmius cunninghamietorum,Skeletocutis cangshanensis,Skeletocutis subchrysella,Sporisorium anadelphiae-leptocomae,Tetraploa dashaoensis,Tomentella exiguelata,Tomentella fuscoaraneosa,Tricholomopsis lechatii,Vaginatispora favispora and Wetmoreana *** new combin

关键词： 59 New taxa 39 New records Ascomycota Basidiomycota Dothideomycetes Lecanoromycetes Leotiomycetes Sordariomycetes Ustilaginomycotina

股骨近端防旋髓内钉治疗老年股骨转子间不稳定骨折内固定失效的危险因素

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临床骨科杂志 2019年第4期22卷 477-481页

作者：王炜昌王荣生石裕明何立文许育东王伟雄任光华信宜市人民医院骨科

目的探讨股骨近端防旋髓内钉(PFNA)治疗老年股骨转子间不稳定骨折术后内固定失效的危险因素。方法回顾性分析应用PFNA治疗104例老年股骨转子间不稳定骨折患者资料。根据术后是否发生内固定失效情况分为内固定失效组(n=15)和成功组(n=89)... 详细信息

目的探讨股骨近端防旋髓内钉(PFNA)治疗老年股骨转子间不稳定骨折术后内固定失效的危险因素。方法回顾性分析应用PFNA治疗104例老年股骨转子间不稳定骨折患者资料。根据术后是否发生内固定失效情况分为内固定失效组(n=15)和成功组(n=89),以性别、年龄、基础疾病、singh指数、骨折分型、麻醉方式、术中出血量、手术时间、尖顶距(TAD)、骨折复位质量、术后下地行走时间为变量。采用χ^2检验、Wilcoxon秩和检验和logistic回归分析。结果患者均获随访,时间6~45个月。104例中15例患者术后发生内固定失效。单因素分析显示TAD、singh指数、骨折复位质量及基础疾病是内固定失效的危险因素。Logistic回归分析显示singh指数、骨折复位质量及基础疾病为内固定失效的独立危险因素。结论严重骨质疏松、骨折复位不良、基础疾病状况严重及TAD≥30mm的老年股骨转子间不稳定骨折是PFNA内固定失效的高危因素,临床应予以有效干预或者采取其他治疗措施。

关键词：内固定股骨转子间骨折股骨近端防旋髓内钉 singh指数骨折复位质量尖顶距

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骨质疏松性髋部骨折的治疗

中国当代医药 2013年第28期20卷 30-32,34页

作者：杨冬发钟向阳侯之启彭昌贵罗琦黎自领叶仕英李日旺陈璟昆吴小杭刘瑞伦广东省东莞市石碣医院骨科广东东莞523290 广州市第一人民医院骨科广州510010

目的提高髋部脆性骨折治愈率，降低伤残率。方法对108例髋部脆性骨折患者资料进行回顾性分析，平均随访23个月。探讨singh分级、治疗措施与预后的关系。结果①singhⅢ～Ⅵ级者行内固定术，Ⅰ～Ⅱ级者行人工关节置换，优良率为83．3％；... 详细信息

目的提高髋部脆性骨折治愈率，降低伤残率。方法对108例髋部脆性骨折患者资料进行回顾性分析，平均随访23个月。探讨singh分级、治疗措施与预后的关系。结果①singhⅢ～Ⅵ级者行内固定术，Ⅰ～Ⅱ级者行人工关节置换，优良率为83．3％；②内固定与人工关节置换的并发症发生率分别为11．4％、7．9％（P〉0.05）；③脆性骨折经口服阿仑膦酸钠5个月后，94．4％的患者singh分级不变；④预防使用抗生素由平均6．9d减为1．7d，术后感染未增多（P〈0.05）。结论singh指数为基层医院了解股骨近端骨质疏松程度的一种方法；内固定或人工关节置换治疗高龄髋部脆性骨折，并发症不少；脆性骨折术后应使用阿仑膦酸钠；限制使用抗生素不会增加骨科内植物术后感染率。

关键词：骨质疏松髋部骨折 singh指数治疗

Fungal diversity notes 367-490:taxonomic and phylogenetic contributions to fungal taxa

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Fungal Diversity 2016年第5期80卷 1-270页

作者： Kevin D.Hyde Sinang Hongsanan Rajesh Jeewon D.Jayarama Bhat Eric H.C.McKenzie E.B.Gareth Jones Rungtiwa Phookamsak Hiran A.Ariyawansa Saranyaphat Boonmee Qi Zhao Faten Awad Abdel-Aziz Mohamed A.Abdel-Wahab Supharat Banmai Putarak Chomnunti Bao-Kai Cui Dinushani A.Daranagama Kanad Das Monika C.Dayarathne Nimali Ide Silva Asha J.Dissanayake Mingkwan Doilom Anusha H.Ekanayaka Tatiana Baptista Gibertoni Aristóteles Góes-Neto shi-Ke Huang Subashini C.Jayasiri Ruvishika S.Jayawardena Sirinapa Konta Hyang Burm Lee Wen-Jing Li Chuan-Gen Lin Jian-Kui Liu Yong-Zhong Lu Zong-Long Luo Ishara S.Manawasinghe Patinjareveettil Manimohan Ausana Mapook Tuula Niskanen Chada Norphanphoun Moslem Papizadeh Rekhani H.Perera Chayanard Phukhamsakda Christian Richter AndréL.C.Mde A.Santiago E.Ricardo Drechsler-Santos Indunil C.Senanayake Kazuaki Tanaka T.M.D.S.Tennakoon Kasun M.Thambugala Qing Tian Saowaluck Tibpromma Benjarong Thongbai Alfredo Vizzini Dhanushka N.Wanasinghe Nalin N.Wijayawardene Hai-Xia Wu Jing Yang Xiang-Yu Zeng Huang Zhang Jin-Feng Zhang Timur S.Bulgakov Erio Camporesi Ali H.Bahkali Mohammad A.Amoozegar Lidia Silva Araujo-Neta Joseph F.Ammirati Abhishek Baghela R.P.Bhatt Dimitar Bojantchev Bart Buyck Gladstone Alves da Silva Catarina Letícia Ferreira de Lima Rafael JoséVilela de Oliveira Carlos Alberto Fragoso de Souza Yu-Cheng Dai Bálint Dima Tham Thi Duong Enrico Ercole Fernando Mafalda-Freire Aniket Ghosh Akira Hashimoto Sutakorn Kamolhan Ji-Chuan Kang Samantha C.Karunarathna Paul M.Kirk Ilkka Kytovuori Angela Lantieri Kare Liimatainen Zuo-Yi Liu Xing-Zhong Liu Robert Lücking Gianfranco Medardi Peter E.Mortimer Thi Thuong Thuong Nguyen Itthayakorn Promputtha K.N.Anil Raj Mateus A.Reck Saisamorn Lumyong Seyed Abolhassan Shahzadeh-Fazeli Marc Stadler Mohammad Reza Soudi Hong-Yan Su Takumasa Takahashi Narumon Tangthirasunun Priyanka Uniyal Yong Wang Ting-Chi Wen Jian-Chu Xu Zhong-Kai Zhang Yong-Chang Zhao Jun-Liang Zhou Lin Zhu Institute of Biotechnology and Germplasm Resources Key Lab of Southwestern Crop Gene Resources and Germplasm Innovation Ministry of AgricultureYunnan Provincial Key Laboratory of Agricultural BiotechnologyYunnan Academy of Agricultural SciencesKunming 650223YunnanPeople’s Republic of China Key Laboratory of Plant Diversity and Biogeography of East Asia Kunming Institute of BotanyChinese Academy of SciencesKunming 650201YunnanPeople’s Republic of China Center of Excellence in Fungal Research Mae Fah Luang University333 M.1T.ThasudMuangChiang Rai 57100Thailand State Key Laboratory of Mycology Institute of MicrobiologyChinese Academy of SciencesNo 31st West Beichen RoadChaoyang DistrictBeijing 100101People’s Republic of China Department of Botany and Microbiology College of ScienceKing Saud UniversityP.O.Box:2455Riyadh1145Saudi Arabia Department of Botany and Microbiology Faculty of ScienceSohag UniversitySohag 82524Egypt Faculty of Agriculture and Life Sciences Hirosaki University3 Bunkyo-choHirosakiAomori 036-8561Japan The United Graduate School of Agricultural Sciences Iwate University18-8 Ueda 3 ChomeMorioka 020-8550Japan Guizhou Key Laboratory of Agricultural Biotechnology Guizhou Academy of Agricultural SciencesXiaohe DistrictGuiyang CityGuizhou Province 550006People’s Republic of China School of Science Mae Fah Luang UniversityChiang Rai 57100Thailand Department of Plant Pathology College of AgricultureGuizhou UniversityGuiyang 550025GuizhouPeople’s Republic of China Department of Botany Goa UniversityTaleigãoGoaIndia No.128/1-J Azad Housing SocietyCurcaGoa Velha 403108India Department of Biology Faculty of ScienceChiang Mai UniversityChiang Mai 50200Thailand World Agroforestry Centre East and Central AsiaKunming 650201YunnanPeople’s Republic of China Centre of Mountain Ecosystem Studies Kunming Institute of BotanyChinese Academy of SciencesKunming 650201YunnanPeople’s Republic of China Department of Microbial Drugs Helmholtz Centre for Infection Res

This is a continuity of a series of taxonomic papers where materials are examined,described and novel combinations are proposed where necessary to improve our traditional species concepts and provide updates on their *** addition to extensive morphological descriptions and appropriate asexual and sexual connections,DNA sequence data are also analysed from concatenated datasets(rDNA,TEF-a,RBP2 and b-Tubulin)to infer phylogenetic relationships and substantiate systematic position of taxa within appropriate *** new species or combinations are being proposed,we apply an integrative approach(morphological and molecular data as well as ecological features wherever applicable).Notes on 125 fungal taxa are compiled in this paper,including eight new genera,101 new species,two new combinations,one neotype,four reference specimens,new host or distribution records for eight species and one alternative *** new genera introduced in this paper are Alloarthopyrenia,Arundellina,Camarosporioides,Neomassaria,Neomassarina,Neotruncatella,Paracapsulospora and *** new species are Alfaria spartii,Alloarthopyrenia italica,Anthostomella ravenna,***,Arthrinium paraphaeospermum,Arundellina typhae,Aspergillus koreanus,Asterina cynometrae,Bertiella ellipsoidea,Blastophorum aquaticum,Cainia globosa,Camarosporioides phragmitis,Ceramothyrium menglunense,Chaetosphaeronema achilleae,Chlamydotubeufia helicospora,Ciliochorella phanericola,Clavulinopsis aurantiaca,Colletotrichum insertae,Comoclathris italica,Coronophora myricoides,Cortinarius fulvescentoideus,***,***,***,Cunninghamella gigacellularis,Cyathus pyristriatus,Cytospora cotini,Dematiopleospora alliariae,***,Diaporthe aseana,***,Distoseptispora multiseptata,***,***,Dothiora buxi,Emericellopsis persica,Gloniopsis calami,Helicoma guttulatum,Helvella floriforma,***,Hermatomyces subiculosa,Ju

关键词： Ascomycota Basidiomycota Dothideomycetes Mortierellomycotina Mucoromycotina Pezizomycetes Phylogeny Taxonomy New genus New species New host records

Methods for a blind analysis of isobar data collected by the STAR collaboration

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Nuclear Science and Techniques 2021年第5期32卷 43-50页

作者： J.Adam L.Adamczyk J.R.Adams J.K.Adkins G.Agakishiev M.M.Aggarwal Z.Ahammed I.Alekseev D.M.Anderson A.Aparin E.C.Aschenauer M.U.Ashraf F.G.Atetalla A.Attri G.S.Averichev V.Bairathi K.Barish A.Behera R.Bellwied A.Bhasin J.Bielcik J.Bielcikova L.C.Bland I.G.Bordyuzhin J.D.Brandenburg A.V.Brandin J.Butterworth H.Caines M.Calderon de la Barca Sanchez D.Cebra I.Chakaberia P.Chaloupka B.K.Chan F-H.Chang Z.Chang N.Chankova-Bunzarova A.Chatterjee D.Chen J.Chen J.H.Chen X.Chen Z.Chen J.Cheng M.Cherney M.Chevalier S.Choudhury W.Christie X.Chu H.J.Crawford M.Csanad M.Daugherity T.G.Dedovich I.M.Deppner A.A.Derevschikov L.Didenko X.Dong J.L.Drachenberg J.C.Dunlop T.Edmonds N.Elsey J.Engelage G.Eppley S.Esumi O.Evdokimov A.Ewigleben O.Eyser R.Fatemi S.Fazio P.Federic J.Fedorisin C.J.Feng Y.Feng P.Filip E.Finch Y.Fisyak A.Francisco L.Fulek C.A.Gagliardi T.Galatyuk F.Geurts A.Gibson K.Gopal X.Gou D.Grosnick W.Guryn A.I.Hamad A.Hamed S.Harabasz J.W.Harris S.He W.He X.H.He Y.He S.Heppelmann S.Heppelmann N.Herrmann E.Hoffman L.Holub Y.Hong S.Horvat Y.Hu H.Z.Huang S.L.Huang T.Huang X.Huang T.J.Humanic P.Huo G.Igo D.Isenhower W.W.Jacobs C.Jena A.Jentsch Y.Ji J.Jia K.Jiang S.Jowzaee X.Ju E.G.Judd S.Kabana M.L.Kabir S.Kagamaster D.Kalinkin K.Kang D.Kapukchyan K.Kauder H.W.Ke D.Keane A.Kechechyan M.Kelsey Y.V.Khyzhniak D.P.Kikoła C.Kim B.Kimelman D.Kincses T.A.Kinghorn I.Kisel A.Kiselev M.Kocan L.Kochenda L.K.Kosarzewski L.Kramarik P.Kravtsov K.Krueger N.Kulathunga Mudiyanselage L.Kumar S.Kumar R.Kunnawalkam Elayavalli J.H.Kwasizur R.Lacey S.Lan J.M.Landgraf J.Lauret A.Lebedev R.Lednicky J.H.Lee Y.H.Leung C.Li C.Li W.Li W.Li X.Li Y.Li Y.Liang R.Licenik T.Lin Y.Lin M.A.Lisa F.Liu H.Liu P.Liu P.Liu T.Liu X.Liu Y.Liu Z.Liu T.Ljubicic W.J.Llope R.S.Longacre N.S.Lukow S.Luo X.Luo G.L.Ma L.Ma R.Ma Y.G.Ma N.Magdy R.Majka D.Mallick S.Margetis C.Markert H.S.Matis J.A.Mazer N.G.Minaev S.Mioduszewski B.Mohanty I.Mooney Z.Moravcova D.A.Morozov M.Nagy J.D.Nam Md.Nasim K.Nayak D.Neff J.M.Nelson D.B.Nemes M.Nie G.Nigmatkulov T.Niida L.V.Nogach T.Nonak Christian University AbileneTX 796992 AGH University of Science and Technology FPACSCracow 30-059Poland Alikhanov Institute for Theoretical and Experimental Physics NRC"Kurchatov Institute" MoscowRussia 117218 Argonne National Laboratory ArgonneIL 60439 American University of Cairo New CairoNew Cairo 11835Egypt Brookhaven National Laboratory UptonNY 11973 University of California BerkeleyCA 94720 University of California DavisCA 95616 University of California Los AngelesCA 90095 University of California RiversideCA 92521 Central China Normal University Wuhan 430079 University of Illinois at Chicago ChicagoIL 60607 Creighton University OmahaNE 68178 Czech Technical University in Prague FNSPEPrague 11519Czech Republic Technische Universitat Darmstadt Darmstadt 64289Germany ELTE Eotvos Lorand University Budapest 1117Hungary Frankfurt Institute for Advanced Studies FIAS Frankfurt 60438Germany Fudan University Shanghai 200433 University of Heidelberg 69120 HeidelbergGermany University of Houston HoustonTX 77204 Huzhou University Huzhou 313000 Indian Institute of Science Education and Research(IISER) Berhampur 760010India Indian Institute of Science Education and Research(IISER)Tirupati Tirupati 517507India Indian Institute Technology PatnaBihar 801106India Indiana University BloomingtonIN 47408 Institute of Modern Physics Chinese Academy of SciencesLanzhou 730000 University of Jammu Jammu 180001India Joint Institute for Nuclear Research DubnaRussia 141980 Kent State University KentOH 44242 University of Kentucky LexingtonKY 40506-0055 Lawrence Berkeley National Laboratory BerkeleyCA 94720 Lehigh University BethlehemPA 18015 Max-Planck-Institut fur Physik 80805 MunichGermany Michigan State University East LansingMI 48824 National Research Nuclear University MEPhI MoscowRussia 115409 National Institute of Science Education and Research HBNIJatni 752050India National Cheng Kung University Tainan 70101 Nuclear Physics Institute of the CAS Rez 25068Czech Republic Ohio State University

In 2018,the STAR collaboration collected data from^(96)_(44)Ru+^(96)_(44)Ru and^(96)_(40)Zr+^(96)_(40)Zr at√^(S)NN=200 Ge V to search for the presence of the chiral magnetic effect in collisions of *** isobar collision species alternated frequently between 9644 Ru+^(96)_(44)Ru and^(96)_(40)Zr+^(96)_(40)*** order to conduct blind analyses of studies related to the chiral magnetic effect in these isobar data,STAR developed a three-step blind analysis *** are initially provided a"reference sample"of data,comprised of a mix of events from the two species,the order of which respects time-dependent changes in run *** tuning analysis codes and performing time-dependent quality assurance on the reference sample,analysts are provided a species-blind sample suitable for calculating efficiencies and corrections for individual≈30-min data-taking *** this sample,species-specific information is disguised,but individual output files contain data from a single isobar *** run-by-run corrections and code alteration subsequent to these corrections are allowed at this *** these modifications,the"frozen"code is passed over the fully un-blind data,completing the blind *** a check of the feasibility of the blind analysis procedure,analysts completed a"mock data challenge,"analyzing data from Au+Au collisions at√^(S)NN=27 Ge V,collected in *** Au+Au data were prepared in the same manner intended for the isobar blind *** details of the blind analysis procedure and results from the mock data challenge are presented.

关键词： Blind analysis Chiral magnetic effect Heavy-ion collisions