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肺上叶切除术后假性肺不张—50例术后改变

放射学实践 1990年第4期5卷 150-153页

作者： h.Daschner K.Lehner 陶细姣 Institut fr Rntgendiagnostik des Klinikums rechts der Isar Munchen 同济医科大学附属同济医院

胸部术后X线片检查常由于摄影技术受限而难以说明问题。手术后的X线图象,有时只有借助CT密度测定才能得到解释。

关键词：肺上叶切除术假性肺不张 X线显象

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管理的数量方法

管理的数量方法

作者： (美)R.h.约翰逊 P.R.维恩张人则夏耕华伦王海谷译

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肺淋巴管扩张时自发性咯乳糜症

放射学实践 1992年第4期7卷 171-173页

作者： h.Daschner K.Lehner 刘晓晴 Institut für Rontgendiagnestik der TU München Ismaninger Straβe 22 8000 Müchen 80 FRG 同济医科大学附属同济医院

乳糜肺是一种少见的脂性肺炎,伴有淋巴液漏出、穿破到支气管系统和胸膜腔。视淋巴液漏出量的多少可出现乳糜胸或/和咯乳糜症。乳糜肺最常见于胸导管和纵隔大淋巴管病变,如胸外科手术、创伤、肿瘤、感染等。继发性肺淋巴管中淋巴液回流... 详细信息

乳糜肺是一种少见的脂性肺炎,伴有淋巴液漏出、穿破到支气管系统和胸膜腔。视淋巴液漏出量的多少可出现乳糜胸或/和咯乳糜症。乳糜肺最常见于胸导管和纵隔大淋巴管病变,如胸外科手术、创伤、肿瘤、感染等。继发性肺淋巴管中淋巴液回流受阻也是较常见原因,如肿瘤压迫胸导管或淋巴管肌瘤所致的压力增高。成人自发性乳糜胸因肺的淋巴管发育不良。乳糜肺患者中多发生有乳糜胸,穿刺可确诊。

关键词：乳糜肺肺炎 CT

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PROBABILITY

Chinese Physics C 2014年第9期38卷 467-471页

作者： K.A.Olive K.Agashe C.Amsler M.Antonelli J.-f.Arguin D.M.Asner h.Baer h.R.Band R.M.Barnett T.Basaglia C.W.Bauer J.J.Beatty V.I.Belousov J.Beringer G.Bernardi S.Bethke h.Bichsel O.Biebe E.Blucher S.Blusk G.Brooijmans O.Buchmueller V.Burkert M.A.Bychkov R.N.Cahn M.Carena A.Ceccucci A.Cerr D.Chakraborty M.-C.Chen R.S.Chivukula K.Copic G.Cowan O.Dahl G.D'Ambrosio T.Damour D.de florian A.de Gouvea T.DeGrand P.de Jong G.Dissertor B.A.Dobrescu M.Doser M.Drees h.K.Dreiner D.A.Edwards S.Eidelman J.Erler V.V.Ezhela W.fetscher B.D.fields B.foster A.freitas T.K.Gaisser h.Gallagher L.Garren h.-J.Gerber G.Gerbier T.Gershon T.Gherghetta S.Golwala M.Goodman C.Grab A.V.Gritsan C.Grojean D.E.Groom M.Grnewald A.Gurtu T.Gutsche h.E.haber K.hagiwara C.hanhart S.hashimoto Y.hayato K.G.hayes M.heffner B.heltsley J.J.hernandez-Rey K.hikasa A.hocker J.holder A.holtkamp J.huston J.D.Jackson K.f.Johnson T.Junk M.Kado D.Karlen U.f.Katz S.R.Klein E.Klempt R.V.Kowalewski f.Krauss M.Kreps B.Krusche Yu.V.Kuyanov Y.Kwon O.Lahav J.Laiho P.Langacker A.Liddle Z.Ligeti C.-J.Lin T.M.Liss L.Littenberg K.S.Lugovsky S.B.Lugovsky f.Maltoni T.Mannel A.V.Manohar W.J.Marciano A.D.Martin A.Masoni J.Matthews D.Milstead P.Molaro K.Monig f.Moortgat M.J.Mortonson h.Murayama K.Nakamura M.Narain P.Nason S.Navas M.Neubert P.Nevski Y.Nir L.Pape J.Parsons C.Patrignani J.A.Peacock M.Pennington S.T.Petcov Kavli IPMU A.Piepke A.Pomarol A.Quadt S.Raby J.Rademacker G.Raffel B.N.Ratcliff P.Richardson A.Ringwald S.Roesler S.Rolli A.Romaniouk L.J.Rosenberg J L.Rosner G.Rybka C.T.Sachrajda Y.Sakai G.P.Salam S.Sarkar f.Sauli O.Schneider K.Scholberg D.Scott V.Sharma S.R.Sharpe M.Silari T.Sjostrand P.Skands J.G.Smith G.f.Smoot S.Spanier h.Spieler C.Spiering A.Stahl T.Stanev S.L.Stone T.Sumiyoshi M.J.Syphers f.Takahashi M.Tanabashi J.Terning L.Tiator M.Titov N.P.Tkachenko N.A.Tornqvist D.Tovey G.Valencia G.Venanzoni M.G.Vincter P.Vogel A.Vogt S.P.Wakely W.Walkowiak C.W.Walter D.R.Ward G.Weiglein D.h.Weinberg E.J.Weinberg M.White L.R.Wiencke C.G.Wohl L.Wolfenstein J.Womersley C.L. University of Minnesota School of Physics and Astronomy116 Church St.S.E.MinneapolisMN 55455USA University of Maryland Department of PhysicsCollege ParkMD 20742-4111USA Albert Einstein Center for fundamental Physics Universitat BernCH-3012 BernSwitzerland Lab.Nazionali di frascati dell'INfN CP 13via E.Fermi40I-00044 Frascati(Roma)Italy Departement de physique Universite de MontrealC.P.6128succ.centre-villeMontreal(Quebec) H3C 3J7Canada Pacific Northwest National Laboratory 902 Battelle BoulevardRichlandWA 99352USA Department of Physics and Astronomy University of OklahomaNormanOK 73019USA Department of Physics University of WisconsinMadisonWI 53706USA Physics Division Lawrence Berkeley National Laboratory1 Cyclotron RoadBerkeleyCA 94720USA CERN European Organization for Nuclear ResearchCH-1211 Geneve 23Switzerland Department of Physics The Ohio State University191 W.Woodruff Ave.ColumbusOH 43210 COMPAS Group Institute for High Energy PhysicsRU- 142284ProtvinoRussia LPNhE IN2P3-CNRS et Universites de Paris 6 et 7F-75252 ParisFrance Max-Planck-Institute of Physics 80805 MunichGermany Department of Physics University of WashingtonSeattleWA 98195USA Ludwig-Maximilians-Universitat Fakultdt für PhysikSchellingstr.4D-80799 MünchenGermany Enrico fermi Institute and Department of Physics University of ChicagoChicagoIL 60637-1433USA Department of Physics Syracuse UniversitySyracuseNY13244USA Department of Physics Columbia University538 W.120th StreetNew YorkNY10027 USA high Energy Physics Group Blackett LaboratoryImperial CollegePrince Consort RoadLondon SW7 2AZUK Jefferson Lab 12000 Jefferson Ave.Newport NewsVA 23606USA Department of Physics University of VirginiaPO Box 400714CharlottesvilleVA 22904USA fermi National Accelerator Laboratory P.O.Box 500BataviaIL 60510USA Kavli Institute for Cosmological Physics University of ChicagoChicagoIL 60637-1433USA Department of Physics and Astronomy University of SussexFalmerBrighton BN1 9QHUK Department o

Revised September 2013 by G. Cowan （RhUL）.37.1. General [1-8] An abstract definition of probability can be given by considering a set S, called the sample space, and possible subsets A, B,... , the interpretation of which is left open. The probability P is a real-valued function defined by the following axioms due to Kolmogorov [9]：

关键词： PROBABILITY

African Lion Population Estimates in Tanzania’s Ruaha National Park

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Open Journal of Ecology 2022年第8期12卷 558-569页

作者： Michael h. Kimaro hillary T. Mrosso Simon J. Chidodo Nyemo A. Chilagane fenrick f. Msigwa George B. Bulenga Rose P. Kicheleri Charles P. Mgeni Rajabu J. Kangile Elisante A. Kimambo Courtney hughes Camille Warbington helen Mchaki Daniel Mathayo halima R. Kiwango GELIfES Institute University of Groningen Groningen Netherlands Tanzania Research and Conservation Organization Morogoro Tanzania CfWT College Sokoine University of Agriculture Morogoro Tanzania SAEBS College Sokoine University of Agriculture Morogoro Tanzania University of Alberta Alberta Canada Conservation Science Department Ruaha National Park Iringa Tanzania

Tanzania is considered a country with the largest number of African lions (Panthera leo). however, the continued absence of ecological population estimates and understanding of the associated factors influencing lion distribution hinders the development of conservation planning. This is particularly true in the Ruaha-Rungwa landscape, where it was estimated that more than 10% of the global lion population currently resides. By using a call-back survey method, we aimed to provide population estimates (population size and density) of African lions in the Ruaha National Park, between wet (March 2019) and dry (October 2019) seasons. We also assessed the key factors that influenced the distribution of the observed lions towards call-back stations. ferreira & funston’s (2010) formula was used to calculate population size and in turn used to estimate density in the sampled area, while the Generalized Linear Model (GLMM) with zero-inflated Poisson error distribution was used to determine factors that influence the distribution of the observed lions to call-back stations. The population size we calculated for the sampled area of 3137.2 km2 revealed 286 lions (95% CI, 236 - 335) during the wet season, and 196 lions (95% CI, 192 - 200) during the dry season. The density of lions was 9.1/100 km2 during the wet season, and 6.3/100 km2 during the dry season. Distance to water source had a significant negative effect on the distribution of the observed lions to the call-back stations, while habitat had a marginal effect. Our findings show that, although lion population estimates were larger during the wet season than the dry season, the season had no effect on the distribution of the observed lions to call-back stations. We suggest that the proximity to water sources is important in study design. further, we suggest that density and population size are useful indices in identifying conservation area priorities and lion coexistence strategies.

关键词： Population Size Density Estimate Call-Back Survey African Lion Conservation

SMRT-AgRenSeq-d in potato (Solanum tuberosum) as a method to identify candidates for the nematode resistance Gpa5

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horticulture Research 2023年第11期10卷 271-279页

作者： Yuhan Wang Lynn h.Brown Thomas M.Adams Yuk Woon Cheung Jie Li Vanessa Young Drummond T.Todd Miles R.Armstrong Konrad Neugebauer Amanpreet Kaur Brian harrower Stan Oome Xiaodan Wang Micha Bayer Ingo hein Division of Plant Sciences at the hutton The University of DundeeErrol RoadInvergowrieDundeeDD25DAUK The James hutton Institute Errol RoadInvergowrieDundeeDD25DAUK College of Plant Protection China Agricultural UniversityHaidian DistrictBeijing100083China James hutton Limited The James Hutton InstituteErrol RoadInvergowrieDundeeDD25DAUK Biomathematics and Statistics Scotland Errol RoadInvergowrieDundeeDD25DAUK Crop Research Centre TeagascOak ParkCarlow R93 XE12Ireland hZPC Research B.V.hZPC Edisonweg 58501 XG JoureNetherlands

Potato is the thirdmost important food crop in *** pathogens threaten sustainable crop production but can be controlled,in many cases,through the deployment of disease resistance genes belonging to the family of nucleotide-binding,leucine-rich-repeat(NLR)*** identify effective disease resistance genes in established varieties,we have successfully established SMRT-AgRenSeq in tetraploid potatoes and have further enhanced the methodology by including dRenSeq in an approach that we term *** inclusion of dRenSeq enables the filtering of candidates after the association analysis by establishing a presence/absence matrix across resistant and susceptible varieties that is translated into an f1 *** a SMRT-RenSeq-based sequence representation of the NLRome from the cultivar Innovator,SMRT-AgRenSeq-d analyses reliably identified the late blight resistance benchmark genes Rpi-R1,Rpi-R2-like,Rpi-R3a,and Rpi-R3b in a panel of 117 varieties with variable phenotype *** benchmark genes were identified with an f1 score of 1,which indicates absolute linkage in the *** method also identified nine strong candidates for Gpa5 that controls the potato cyst nematode(PCN)species Globodera pallida(pathotypes Pa2/3).Assuming that NLRs are involved in controlling many types of resistances,SMRT-AgRenSeq-d can readily be applied to diverse crops and pathogen systems.

关键词： resistance linkage crops

NAMING SChEME fOR hADRONS

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Chinese Physics C 2014年第9期38卷 120-121页

Revised 2004 by M. Roos （University of finland） and C.G. Wohl （LBNL）.

关键词： JPC NAMING SChEME fOR hADRONS

MONTE CARLO TEChNIQUES

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Chinese Physics C 2014年第9期38卷 485-487页

Revised September 2011 by G. Cowan （RhUL）. Monte Carlo techniques are often the only practical way to evaluate difficult integrals or to sample random variables governed by complicated probability density functions.... 详细信息

关键词： MONTE CARLO TEChNIQUES MCMC

Unambiguous indexing of trigonal crystals from white beam Laue diffraction patterns:Application to Dauphiné twinning and lattice stress mapping in deformed quartz

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Unambiguous indexing of trigonal crystals from white beam La...