检索结果-南通市图书馆

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

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

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Measurement of away-side broadening with self-subtraction of flow in Au+Au collisions at √sNN=200 GeV

引用

Chinese Physics C 2020年第10期44卷 59-67页

作者： 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.Calderón de la Barca sánchez D.Cebra I.Chakaberia P.Chaloupka B.K.Chan F-H.Chang Z.Chang N.Chankova-Bunzarova A.Chatterjee D.Chen J.H.Chen X.Chen Z.Chen J.Cheng M.Cherney M.Chevalier s.Choudhury W.Christie X.Chu H.J.Crawford M.Csanád 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 D.Grosnick W.Guryn A.I.Hamad A.Hamed s.Harabasz J.W.Harris s.He W.He X.H.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 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 Nasim Md K.Nayak D.Neff J.M.Nelson D.B.Nemes M.Nie G.Nigmatkulov T.Niida L.V.Nogach T.Nonaka A.s.Nunes G.Odyniec A.Ogawa Abilene Christian University AbileneTexas 79699 AGH University of science and Technology FPACSCracow 30-059Poland Alikhanov Institute for Theoretical and Experimental Physics NRC"Kurchatov Institute" Moscow 117218Russia Argonne National Laboratory ArgonneIllinois 60439 American University of Cairo New Cairo 11835New CairoEgypt Brookhaven National Laboratory UptonNew York 11973 University of California BerkeleyCalifornia 94720 University of California DavisCalifornia 95616 University of California Los AngelesCalifornia 90095 University of California RiversideCalifornia 92521 Central China Normal University WuhanHubei 430079 University of Illinois at Chicago ChicagoIllinois 60607 Creighton University OmahaNebraska 68178 Czech Technical University in Prague FNSPEPrague 11519Czech Republic Technische Universität Darmstadt Darmstadt 64289Germany ELTE Eötvös Loránd University BudapestHungary H-1117 Frankfurt Institute for Advanced studies FIAs Frankfurt 60438Germany Fudan University Shanghai 200433 University of Heidelberg Heidelberg 69120Germany University of Houston HoustonTexas 77204 Huzhou University HuzhouZhejiang 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 BloomingtonIndiana 47408 Institute of Modern Physics Chinese Academy of SciencesLanzhouGansu 730000 University of Jammu Jammu 180001India Joint Institute for Nuclear Research Dubna 141980Russia Kent state University KentOhio 44242 University of Kentucky LexingtonKentucky 40506-0055 Lawrence Berkeley National Laboratory BerkeleyCalifornia 94720 Lehigh University BethlehemPennsylvania 18015 Max-Planck-Institut für Physik Munich 80805Germany Michigan state University East LansingMichigan 48824 National Research Nuclear University MEPhI Moscow 115409Russia National Institute of science Education and Research HBNIJatni 752050Indi

High transverse momentum(pT)particle production is suppressed owing to the parton(jet)energy loss in the hot dense medium created in relativistic heavy-ion *** of energy at low-to-modest pT has been difficult to measure,owing to large anisotropic *** report a data-driven method for background evaluation and subtraction,exploiting the away-side pseudorapidity gaps,to measure the jetlike correlation shape in Au+Au collisions at √sNN=200 GeV in the sTAR *** correlation shapes,for trigger particles pT>3GeV/c and various associated particle pT ranges within 0.5sistent with Gaussians,and their widths increase with *** results indicate jet broadening in the medium created in central heavy-ion collisions.

关键词： di-hadron correlations jet heavy-ion

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Revisiting cerebral endothelial cells in Alzheimer’s disease

引用

Neural Regeneration Research 2025年第10期20卷 2911-2912页

作者： Amira s.Hanafy Department of Neurosurgery University Hospital BonnBonnGermany

Alzheimer’s disease(AD)is the most common neurodegenerative disorder characterized by slow and progressive decline of cognitive and memory *** only approximately 5%of the cases,AD is familial,as often predisposed by genetic mutations(Hoogmartens et al.,2021),while sporadic AD accounts for approximately 95%of the *** amyloid cascade hypothesis is one of the fundamental hypotheses put out to explain AD pathogenesis as dysregulated homeostasis of amyloid-β(Aβ)peptides that leads to the accumulation of Aβplaques in the parenchyma,an anatomical hallmark of AD.

关键词： Alzheimer Aβ cerebral

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

A systematic review of progenitor survival and maturation in Parkinsonian models

引用

Neural Regeneration Research 2025年第11期20卷 3172-3178页

作者： Giulia Comini Eilís Dowd Pharmacology&Therapeutics and Galway Neuroscience Center University of GalwayGalwayIreland

stem cell-based brain repair is a promising emergent therapy for Parkinson's disease based on years of foundational research using human fetal donors as a cell *** current therapeutic options for patients,this approach has the potential to provide longterm stem cell–derived reconstruction and restoration of the dopaminergic input to denervated regions of the brain allowing for restoration of certain functions to *** ultimate clinical success of stem cell–derived brain repair will depend on both the safety and efficacy of the approach and the latter is dependent on the ability of the transplanted cells to survive and differentiate into functional dopaminergic neurons in the Parkinsonian *** the pre-clinical literature suggests that there is considerable variability in survival and differentiation between studies,the aim of this systematic review was to assess these parameters in human stem cell-derived dopaminergic progenitor transplant studies in animal models of Parkinson's disease.A defined systematic search of the PubMed database was completed to identify relevant studies published up to March *** screening,76 articles were included in the analysis from which 178 separate transplant studies were *** these,graft survival could be assessed in 52 studies and differentiation in 129 ***,we found that graft survival ranged froms transplanted,with a median of 51%of transplanted cells surviving in the brain;while dopaminergic differentiation of the cells ranged from 0% to 46% of cells transplanted with a median of 3%.This systematic review suggests that there is considerable scope for improvement in the differentiation of stem cell-derived dopaminergic progenitors to maximize the therapeutic potential of this approach for patients.

关键词： cell replacement therapy differentiation embryonic stem cells graft induced pluripotent stem cells Parkinson's disease survival transplant

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Deciphering the mechanobiology of microglia in traumatic brain injury with advanced microsystems

引用

Neural Regeneration Research 2025年第8期20卷 2304-2306页

作者： Anthony Procès sylvain Gabriele Univ.Grenoble Alpes InsermU1216Grenoble Institut des NeurosciencesGrenobleFrance Mechanobiology&Biomaterials Group CIRMAPResearch Institute for BiosciencesUniversity of MonsMonsBelgium

Advanced microsystems in traumatic brain injury research:Traumatic brain injury(TBI)results from a mechanical insult to the brain,leading to neuronal and axonal damage and subsequently causing a secondary *** minutes ... 详细信息

关键词： traumatic injury damage

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Emerging structures and dynamic mechanisms ofγ-secretase for Alzheimer’s disease

引用

Neural Regeneration Research 2025年第1期20卷 174-180页

作者： Yinglong Miao Michael s.Wolfe Computational Medicine Program and Department of Pharmacology University of North Carolina–Chapel HillChapel HillNCUSA Department of Medicinal Chemistry University of KansasLawrenceKSUSA

γ-secretase,called“the proteasome of the membrane,”is a membrane-embedded protease complex that cleaves 150+peptide substrates with central roles in biology and medicine,including amyloid precursor protein and the Notch family of cell-surface *** inγ-secretase and amyloid precursor protein lead to early-onset familial Alzheimer’s disease.γ-secretase has thus served as a critical drug target for treating familial Alzheimer’s disease and the more common late-onset Alzheimer’s disease as ***,critical gaps remain in understanding the mechanisms of processive proteolysis of substrates,the effects of familial Alzheimer’s disease mutations,and allosteric modulation of substrate cleavage byγ-*** this review,we focus on recent studies of structural dynamic mechanisms ofγ-*** mechanisms,including the“Fit-stay-Trim,”“sliding-Unwinding,”and“Tilting-Unwinding,”have been proposed for substrate proteolysis of amyloid precursor protein byγ-secretase based on all-atom molecular dynamics *** an incorrect registry of the Notch1 substrate was identified in the cryo-electron microscopy structure of Notch1-boundγ-secretase,molecular dynamics simulations on a resolved model of Notch1-boundγ-secretase that was reconstructed using the amyloid precursor protein-boundγ-secretase as a template successfully capturedγ-secretase activation for proper cleavages of both wildtype and mutant Notch,being consistent with biochemical experimental *** approach could be potentially applied to decipher the processing mechanisms of various substrates byγ-*** addition,controversy over the effects of familial Alzheimer’s disease mutations,particularly the issue of whether they stabilize or destabilizeγ-secretase-substrate complexes,is ***,an outlook is provided for future studies ofγ-secretase,including pathways of substrate binding and product release,effects of modulators on familial Alzheimer’s disease mutations

关键词： Alzheimer’s disease amyloid precursor protein cryo-EM structures drug design intramembrane proteolysis molecular dynamics Notch

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Complementary roles of glial cells in generating region-specific neuroinflammatory responses and phagocytosis in Parkinson’s disease

引用

Neural Regeneration Research 2025年第10期20卷 2917-2918页

作者： Leyre Ayerra Maria s.Aymerich Universidad de Navarra Facultad de CienciasDepartamento de Bioquímica y GenéticaPamplonaSpain CIMA-Universidad de Navarra PamplonaSpain IdisNA Instituto de Investigación Sanitaria de NavarraPamplonaSpain

Neuroinflammation is associated with Parkinson’s disease:Reactive gliosis and neuroinflammation are hallmarks of Parkinson’s disease(PD),a multisystem neurodegenerative disorder characterized by a progressive loss of dopaminergic *** has long been considered a mere consequence of neuronal loss,but whether it promotes PD or is a key player in disease progression remains to be *** leukocyte antigen.

关键词： inflammation leukocyte generating

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Understanding activity of butyrate at a cellular level

引用

Neural Regeneration Research 2025年第8期20卷 2323-2324页

作者： Prapti Chakraborty Angela s.Laird Macquarie University Motor Neuron Disease Research Centre Macquarie Medical SchoolFaculty of MedicineHealth and Human SciencesMacquarie UniversitySydneyAustralia

Butyrate is a short-chain fatty acid of four carbons in length that is a by-product produced by the microbial fermentation of dietary fiber and undigested carbohydrates within the *** the years,butyrate has attracted ... 详细信息

关键词： carbons butyrate fiber

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Microglial dysfunction and genetic risk for neurodegenerative disease

引用

Neural Regeneration Research 2025年第5期20卷 1401-1402页

作者： Debra s.MacDonald Jay Penney Department of Biomedical sciences AVCUniversity of Prince Edward IslandCharlottetownPECanada

Neurodegenerative disorders such as Alzheimer's and Parkinson's diseases a re increasing in prevalence as world populations *** tremendous progress has been made,our understanding of the mechanisms that underlie the development of these diseases remains far from com *** troubling,despite the growing emotional and financial toll being to ken by neurodegenerative disorders,existing treatment options are limited almost exclusively to those that help manage symptoms but that lack the ability to alter the progression of the disease(Liu et al.,2022).

关键词： degenerative diseases

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

semantic segmentation of Lumbar Vertebrae Using Meijering U-Net(MU-Net)on spine Magnetic Resonance Images

引用

Computer Modeling in Engineering & sciences 2025年第1期142卷 733-757页

作者： Lakshmi s V V shiloah Elizabeth Darmanayagam sunil Retmin Raj Cyril Department of Computer science and Engineering College of Engineering GuindyAnna UniversityChennai600025India Department of Information Technology Madras Institute of TechnologyAnna UniversityChrompetChennai600044India

Lower back pain is one of the most common medical problems in the world and it is experienced by a huge percentage of people *** to its ability to produce a detailed view of the soft tissues,including the spinal cord,nerves,intervertebral discs,and vertebrae,Magnetic Resonance Imaging is thought to be the most effective method for imaging the *** semantic segmentation of vertebrae plays a major role in the diagnostic process of lumbar *** is difficult to semantically partition the vertebrae in Magnetic Resonance Images from the surrounding variety of tissues,including muscles,ligaments,and intervertebral discs.U-Net is a powerful deep-learning architecture to handle the challenges of medical image analysis tasks and achieves high segmentation *** work proposes a modified U-Net architecture namely MU-Net,consisting of the Meijering convolutional layer that incorporates the Meijering filter to perform the semantic segmentation of lumbar vertebrae L1 to L5 and sacral vertebra ***-colour mask images were generated and used as ground truth for training the *** work has been carried out on 1312 images expanded from T1-weighted mid-sagittal MRI images of 515 patients in the Lumbar spine MRI Dataset publicly available from Mendeley *** proposed MU-Net model for the semantic segmentation of the lumbar vertebrae gives better performance with 98.79%of pixel accuracy(PA),98.66%of dice similarity coefficient(DsC),97.36%of Jaccard coefficient,and 92.55%mean Intersection over Union(mean IoU)metrics using the mentioned dataset.

关键词： Computer aided diagnosis(CAD) magnetic resonance imaging(MRI) semantic segmentation lumbar vertebrae deep learning U-Net model

来源：

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

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：