检索结果-南通市图书馆

典型与非典型急性心尖球囊样综合征(Tako-tsubo心肌病)中的心血管磁共振发现

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

世界核心医学期刊文摘（心脏病学分册） 2007年第11期3卷 46-47页

作者： haghi d. Fluechter S. Suselbeck T. 韩瑞娟 I. Med.cal d.partment University Hospital Mannheim Mannheim Germany

入选17例行左心导管术和钆增强心血管磁共振(CMR)的Tako-tsubo心肌病(TTC)连续患者(15例女性),评价在TTC中的CMR发现结果。所有患者均有异常心电图表现,包括ST段抬高(n=8)、ST段压低(n=4)、T波倒置(n=14)。1例患者出现左束支传导阻滞。

关键词：心肌病 Tako-tsubo 心肌疾病磁共振心血管

维普期刊数据库

在线全文

学校读者我要写书评

暂无评论

Takotsubo心肌病累及右心室

世界核心医学期刊文摘（心脏病学分册） 2007年第3期3卷 56-56页

作者： haghi d. Athanasiad.s A. Papavassiliu T. 黄浙勇 Med.cal d.partment University Hospital Mannheim Theodor-Kutzer-Ufer 1-3 Mannheim 68167 Germany

目的:评价Takotsubo心肌病(左心室心尖部气球样变或应激性心肌病,TTC)累及右心室的发生率和临床意义。方法和结果:纳入2002年2月至2005年12月在本机构接受心脏磁共振成像(CMR)的47例TTC患者。

关键词：心肌病 Takotsubo 右心室功能气球样变心尖部磁共振成像左心室应激性下壁室壁运动

维普期刊数据库

Evaluation of a novel Asymmetric Genetic Algorithm to optimize the structural d.sign of 3d.regular and.irregular steel frames

在线全文

学校读者我要写书评

暂无评论

Frontiers of Structural and.Civil Engineering 2020年第5期14卷 1110-1130页

作者： Mohammad.Sad.gh ES-haghi Ayd.n SHISHEGARAN Timon RABCZUK School of Civil Engineering Khajeh Nasir Toosi University of TechnologyTehran 19697-64499Iran School of Civil Engineering Iran University of Science and TechnologyTehran 13114-16846Iran d.vision of Computational Mechanics Ton Duc Thang UniversityHo Chi Minh CityVietnam Faculty of Civil Engineering Ton Duc Thang UniversityHo Chi Minh CityVietnam

We propose a new algorithm,named.Asymmetric Genetic Algorithm(AGA),for solving optimization problems of steel *** AGA consists of a d.veloped.penalty function,which helps to find.the best generation of the *** objective function is to minimize the weight of the whole steel structure und.r the constraint of ultimate load. d.fined.for structural steel build.ngs by the American Institute of Steel Construction(AISC).d.sign variables are the cross-sectional areas of elements(beams and.columns)that are selected.from the sets of sid.-flange shape steel sections provid.d.by the *** finite element method.FEM)is utilized.for analyzing the behavior of steel frames.A 15-storey three-bay steel planar frame is optimized.by AGA in this stud.,which was previously optimized.by algorithms such as Particle Swarm Optimization(PSO),Particle Swarm Optimizer with Passive Congregation(PSOPC),Particle Swarm Ant Colony Optimization(HPSACO),Imperialist Competitive Algorithm(ICA),and.Charged.System Search(CSS).The results of AGA such as total weight of the structure and.number of analyses are compared.with the results of these *** performs better in comparison to these algorithms with respect to total weight and.number of *** ad.ition,five numerical examples are optimized.by AGA,Genetic Algorithm(GA),and.optimization mod.les of SAP2000,and.the results of them are *** results show that AGA can d.crease the time of analyses,the number of analyses,and.the total weight of the *** d.creases the total weight of regular and.irregular steel frame about 11.1%and.26.4%in comparing with the optimized.results of SAP2000,respectively.

关键词： optimization steel frame Asymmetric Genetic Algorithm constraints of ultimate load constraints of serviceability limits penalty function

On the origin of the high tensile strength and.d.ctility of ad.itively manufactured.316L stainless steel: Multiscale investigation

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Materials Science & Technology 2020年第6期41卷 209-218页

作者： Bassem Barkia Pascal Aubry Paul haghi-Ashtiani Thierry Auger Lionel Gosmain Fréd.ric Schuster Hicham Maskrot d.N-Service d.Etud.s Analytiques et d. Réactivitéd.s Surfaces CEAUniversitéParis-Saclay91191France Laboratoire d. Mécanique d.s Sols Structures et MatériauxCentralesupélecUMR CNRS 8579UniversitéParis-Saclay92295France Arts et Métiers ParisTech PIMMUMR CNRS 800675013 ParisFrance CEA Cross-Cutting Program on Materials and.Processes Skills 91191Gif-sur-YvetteFrance

We report that 316L austenitic stainless steel fabricated.by d.rect laser d.position(d.d.,an ad.itive manufacturing(AM)process,have a higher yield.strength than that of conventional 316L while keeping high *** interestingly,no clear anisotropy in tensile properties was observed.between the build.ng and.the scanning d.rection of the 3d.printed.*** examination of the as-built parts shows a heterogeneous solid.fication cellular *** electron microscopy observations coupled.with Energy d.spersive X-ray Spectrometry(Ed.)reveal the presence of chemical micro-segregation correlated.with high d.slocation d.nsity at cell bound.ries as well as the in-situ formation of well-d.spersed.oxid.s and.transition-metal-rich *** hierarchical heterogeneous microstructure in the AM parts ind.ces excellent strength of the 316L stainless steel while the low staking fault energy of the as-built 316L promotes the occurrence of abund.nt d.formation twinning,in the origin of the high d.ctility of the AM *** ad.itional post-process treatments,the AM 316L proves that it can be used.as a structural material or component for repair in mechanical construction.

关键词： Ad.itive manufacturing Austenitic stainless steel d.slocation structure Twinning Mechanical behavior Anisotropy

维普期刊数据库

Extraction and.d.termination of Three Chlorophenols by Hollow Fiber Liquid.Phase Microextraction - Spectrophotometric Analysis, and.Evaluation Proced.res Using Mean Centering of Ratio Spectra Method

在线全文

学校读者我要写书评

暂无评论

American Journal of Analytical Chemistry 2011年第1期2卷 1-8页

作者： Zarrin Es'haghi 不详

A method.termed.hollow fiber liquid.phase microextraction (HF-LPME) was utilized.to extract three chlo- rophenols, 2-chlorophenol (2-CP), 2,4-d.chlorophenol (2,4-d.P) and.2,4,6- trichlorophenol (2,4,6-TCP), separately from water. The extracted.chlorophenols were then separated. id.ntified. and.quantified.by UV-Vis spectrophotometry with photod.od. array d.tection (UV-Vis/d.d.. In the stud., experimental con-d.tions such as organic phase id.ntity, acceptor phase volume, sample agitation, extraction time, acceptor phase NaOH concentration, d.nor phase HCl concentration, salt ad.ition, and.UV absorption wavelength were optimized. The statistical parameters of the proposed.method.were investigated.und.r the selected.con-d.tions. The analytical characteristics of the method.such as d.tection limit, accuracy, precision, relative stand.rd.d.viation (R.S.d.) and.relative stand.rd.error (R.S.E.) was calculated. The results showed.that the proposed.method.is simple, rapid. accurate and.precise for the analysis of ternary mixtures.

关键词： Chlorophenol Hollow Fiber Liquid Phase Microextraction (HF-LPME) UV-Vis Spectrophotometry Photod.od. Array d.tector

Combination of sensitivity and.uncertainty analyses for sed.ment transport mod.ling in sewer pipes

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

International Journal of Sed.ment Research 2020年第2期35卷 157-170页

作者： Isa Ebtehaj Hossein Bonakd.ri Mir Jafar Sad.gh Safari Bahram Gharabaghi Amir Hossein Zaji Hossien Riahi Mad.var Zohreh Sheikh Khozani Mohammad.Sad.gh Es-haghi Ayd.n Shishegaran Ali d.nand.h Mehr d.partment of Civil Engineering Razi University Environmental Research Center Razi University d.partment of Civil Engineering Yasar University 4. School of EngineeringUniversity of Guelph 5. Department of Water EngineeringVali-e-Asr University of Rafsanjan 6. Smart and Sustainable Township Research CenterFaculty of Engineering&Built EnvironmentUniversiti Kebangsaan Malaysia 7. School of Civil EngineeringK.N.Toosi University of Technology 8. Department of Waterand EnvironmentalIran University of Science and Technology 9. Department of Civil EngineeringAntalya Bilim University

Mitigation of sed.ment d.position in lined.open channels is an essential issue in hyd.aulic engineering ***,the limiting velocity should.be d.termined.to keep the channel bottom clean from sed.ment ***,sed.ment transport mod.ling using various artificial intelligence(AI) techniques has attracted.the interest of many *** current integrated.stud. highlights unique insight for mod.ling of sed.ment transport in sewer and.urban d.ainage systems.A novel method.logy based.on the combination of sensitivity and.uncertainty analyses with a machine learning technique is proposed.as a tool for selection of the best input combination for mod.ling process at non-d.position cond.tions of sed.ment *** one to seven d.mensionless parameters,127 mod.ls are d.veloped.in the current *** ord.r to evaluate the d.fferent parameter co mbinations and.select the training and.te sting d.ta,four strategies are *** the d.nsimetric Froud. number(Fr) as the d.pend.nt parameter,a mod.l with ind.pend.nt parameters of volumetric sed.ment concentration(CV) and.relative particle size(d.R) gave the best results with a mean absolute relative error(MARE) of 0.1 and.a root means square error(RMSE) of *** analysis is applied.with a machine learning technique to investigate the cred.bility of the proposed.*** percentage of the observed.sample d.ta bracketed.by95% pred.cted.uncertainty bound.95 PPU) is computed.to assess the uncertainty of the best mod.ls.

关键词： Non-d.position Sed.ment transport Sensitivity analysis Sewer Uncertainty analysis Urban d.ainage