检索结果-南通市图书馆

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

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

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

Quickly obtaining densely dispersed coherent particles in steel matrix and its related mechanical property

在线全文

学校读者我要写书评

暂无评论

International Journal of Minerals,Metallurgy and Materials 2025年第1期32卷 111-118页

作者： Xiaoxiao Wang Qingsong huang school of Chemical Engineering Sichuan UniversityChengdu 610065China

Densely distributed coherent nanoparticles(DCN)in steel matrix can enhance the work-hardening ability and ductility of steel *** the routes to this end can be generally classified into the liquid-solid route and the solid-solid ***,the formation of DCN structures in steel requires long processes and complex *** far,obtaining steel with coherent particle enhancement in a short time remains a bottleneck,and some necessary steps remain ***,we show a high-efficiency liquid-phase refining process reinforced by a dynamic magnetic ***-Y-Mn-O particles had an average size of around(3.53±1.21)nm and can be obtained in just around 180 *** small nanoparticles were coherent with the matrix,implying no accumulated dislocations between the particles and the steel *** findings have a potential application for improving material machining capacity,creep resistance,and radiation resistance.

关键词： ferritic steels coherent particles microstructure compression test work hardening

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

在线全文

学校读者我要写书评

暂无评论

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

低强度脉冲超声波对大鼠血管源性痴呆模型记忆减退和脑功能损害的保护性疗效研究

在线全文

学校读者我要写书评

暂无评论

国际医学放射学杂志 2017年第2期 208-208页

作者： s.l.huang C.W.Chang Y.H.lee F.Y.Yang 陈繁陈艳丽 Department of Biomedical Imaging and Radiological sciences National Yang -Ming University

摘要目的探讨低强度脉冲超声波(lIP)对大鼠血管源性痴呆模型记忆减退和中枢神经系统损害的神经保护性疗效。材料与方法所有动物实验均获得动物保护和使用委

关键词：血管源性记忆减退大鼠模型低强度脉冲超声波痴呆模型

Neuropeptide cholecystokinin:a key neuromodulator for hippocampal functions

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Neural Regeneration Research 2025年第7期20卷 1991-1992页

作者： Fengwen huang stephen Temitayo Bello Department of Neuroscience City University of Hong KongKowloon TongHong Kong Special Administrative RegionChina Center for Regenerative Medicine and Health Hong Kong Institute of Science&InnovationChinese Academy of SciencesHong Kong Special Administrative RegionChina

spatial memory is crucial for survival within external surroundings and wild *** hippocampus,a critical hub for spatial learning and memory formation,has received extensive investigations on how neuromodulators shape its functions(Teixeira et al.,2018;Zhang et al.,2024).However,the landscape of neuromodulations in the hippocampal system remains poorly understood because most studies focus on classical monoamine neuromodulators,such as acetylcholine,serotonin,dopamine,and *** neuropeptides,comprising the most abundant neuromodulators in the central nervous system,play a pivotal role in neural information processing in the hippocampal ***(CCK),one of the most abundant neuropeptides,has been implicated in regulating various physiological and neurobiological statuses(Chen et al.,2019).CCK-A receptor(CCK-AR)and CCK-B receptors(CCK-BR)are two key receptors mediating the biological functions of CCK,both of which belong to class-A sevenfold transmembrane G protein-coupled receptors(Nishimura et al.,2015).CCK-AR preferentially reacts to sulfated CCK,whereas CCK-BR binds both CCK and gastrin with similar affinities(Ding et al.,2022).The expression patterns of CCK-AR and CCK-BR are distinct,implying that CCK has various functions in target *** instance,CCK-AR is widely expressed in the GI and brain subregions and is hence implicated in the control of digestive function and satiety ***,CCK-BR is abundantly and widely distributed in the central nervous system,which majorly regulates anxiety,learning,and memory(Ding et al.,2022).However,the roles of endogenous CCK and CCK receptors in regulating hippocampal function at electrophysiological and behavioral levels have received less attention.

关键词： abundant functions modulator

Glucocorticoid receptor signaling in the brain and its involvement in cognitive function

在线全文

学校读者我要写书评

暂无评论

Neural Regeneration Research 2025年第9期20卷 2520-2537页

作者： Chonglin su Taiqi huang Meiyu Zhang Yanyu Zhang Yan Zeng Xingxing Chen Brain science and Advanced Technology Institute Hubei Province Key Laboratory of Occupational Hazard Identification and ControlSchool of MedicineWuhan University of Science and TechnologyWuhanHubei ProvinceChina

The hypothalamic-pituitary-adrenal axis regulates the secretion of glucoco rticoids in response to environmental *** the brain,a nuclear receptor transcription fa ctor,the glucocorticoid recepto r,is an important component of the hypothalamicpituitary-a d renal axis's negative feedback loop and plays a key role in regulating cognitive equilibrium and *** glucoco rticoid receptor influences cognitive processes,including glutamate neurotransmission,calcium signaling,and the activation of brain-derived neurotrophic factor-mediated pathways,through a combination of genomic and non-genomic *** interactions within the central nervous system can alter the expression and activity of the glucocorticoid receptor,there by affecting the hypothalamic-pituitary-a d renal axis and stress-related cognitive *** appropriate level of glucocorticoid receptor expression can improve cognitive function,while excessive glucocorticoid receptors or long-term exposure to glucoco rticoids may lead to cognitive *** with cognitive impairment-associated diseases,such as Alzheimer's disease,aging,depression,Parkinson's disease,Huntington's disease,stroke,and addiction,often present with dysregulation of the hypothalamic-pituitary-adrenal axis and glucocorticoid receptor *** review provides a comprehensive overview of the functions of the glucoco rticoid receptor in the hypothalamic-pituitary-a d renal axis and cognitive *** emphasizes that appropriate glucocorticoid receptor signaling fa cilitates learning and memory,while its dysregulation can lead to cognitive *** provides clues about how glucocorticoid receptor signaling can be targeted to ove rcome cognitive disability-related disorders.

关键词： brain-derived neurotrophic factor calcium signaling glucocorticoid receptor glucocorticoid glutamate transmission hypothalamic-pituitary-adrenal axis long-term potentiation neurocognitive disorders neuroplasticity stress

Predictive value of a constructed artificial neural network model for microvascular invasion in hepatocellular carcinoma:A retrospective study

在线全文

学校读者我要写书评

暂无评论

World Journal of Gastrointestinal Oncology 2025年第1期17卷 88-100页

作者： Hai-Yang Nong Yong-Yi Cen shan-Jin lu Rui-sui huang Qiong Chen li-Feng huang Jian-Ning huang Xue Wei Man-Rong liu lin li Ke Ding Department of Radiology The Third Affiliated Hospital of Guangxi Medical UniversityNanning 530031Guangxi Zhuang Autonomous RegionChina Department of Radiology Affiliated Hospital of Youjiang Medical University for NationalitiesBaise 533000Guangxi Zhuang Autonomous RegionChina Guangxi Clinical Medical Research Center for Hepatobiliary Diseases Affiliated Hospital of Youiiang Medical University for NationalitiesBaise 533000Guangxi Zhuang Autonomous RegionChina Department of Ultrasound The Third Affiliated Hospital of Guangxi Medical UniversityNanning 530031Guangxi Zhuang Autonomous RegionChina Department of Hepatobiliary surgery The Third Affiliated Hospital of Guangxi Medical UniversityNanning 530031Guangxi Zhuang Autonomous RegionChina

BACKGROUND Microvascular invasion(MVI)is a significant risk factor for recurrence and metastasis following hepatocellular carcinoma(HCC)***,there is a paucity of preoperative evaluation approaches for *** To investigate the predictive value of texture features and radiological signs based on multiparametric magnetic resonance imaging in the non-invasive preoperative prediction of MVI in *** Clinical data from 97 HCC patients were retrospectively collected from January 2019 to July 2022 at our *** were classified into two groups:MVI-positive(n=57)and MVI-negative(n=40),based on postoperative pathological *** correlation between relevant radiological signs and MVI status was ***4.6 software and the mutual information method were employed to identify the top 10 dominant texture features,which were combined with radiological signs to construct artificial neural network(ANN)models for MVI *** predictive performance of the ANN models was evaluated using area under the curve,sensitivity,and *** models with relatively high predictive performance were screened using the Delong test,and the regression model of multilayer feedforward ANN with backpropagation and error backpropagation learning method was used to evaluate the models’*** The absence of a pseudocapsule,an incomplete pseudocapsule,and the presence of tumor blood vessels were identified as independent predictors of HCC *** ANN model constructed using the dominant features of the combined group(pseudocapsule status+tumor blood vessels+arterial phase+venous phase)demonstrated the best predictive performance for MVI status and was found to be automated,highly operable,and very *** The ANN model constructed using the dominant features of the combined group can be recommended as a noninvasive method for preoperative prediction of HCC MVI status.

关键词： Hepatocellular carcinoma Texture analysis Magnetic resonance imaging Microvascular invasion Pseudocapsule Tumor blood vessels

The role of axon guidance molecules in the pathogenesis of epilepsy

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

Neural Regeneration Research 2025年第5期20卷 1244-1257页

作者： Zheng liu Chunhua Pan Hao huang Department of Neurology Affiliated Hospital of Zunyi Medical UniversityZunyiGuizhou ProvinceChina

Current treatments for epilepsy can only manage the symptoms of the condition but cannot alter the initial onset or halt the progression of the disease. Consequently, it is crucial to identify drugs that can target novel cellular and molecular mechanisms and mechanisms of action. Increasing evidence suggests that axon guidance molecules play a role in the structural and functional modifications of neural networks and that the dysregulation of these molecules is associated with epilepsy susceptibility. In this review, we discuss the essential role of axon guidance molecules in neuronal activity in patients with epilepsy as well as the impact of these molecules on synaptic plasticity and brain tissue remodeling. Furthermore, we examine the relationship between axon guidance molecules and neuroinflammation, as well as the structural changes in specific brain regions that contribute to the development of epilepsy. Ample evidence indicates that axon guidance molecules, including semaphorins and ephrins, play a fundamental role in guiding axon growth and the establishment of synaptic connections. Deviations in their expression or function can disrupt neuronal connections, ultimately leading to epileptic seizures. The remodeling of neural networks is a significant characteristic of epilepsy, with axon guidance molecules playing a role in the dynamic reorganization of neural circuits. This, in turn, affects synapse formation and elimination. Dysregulation of these molecules can upset the delicate balance between excitation and inhibition within a neural network, thereby increasing the risk of overexcitation and the development of epilepsy. Inflammatory signals can regulate the expression and function of axon guidance molecules, thus influencing axonal growth, axon orientation, and synaptic plasticity. The dysregulation of neuroinflammation can intensify neuronal dysfunction and contribute to the occurrence of epilepsy. This review delves into the mechanisms associated with

关键词： axon guidance drug-resistant epilepsy epilepsy nerve regeneration nervous system diseases neural pathways neuroinflammatory diseases neuronal plasticity neurons synaptic remodeling

Multi-stage-Based siamese Neural Network for seal Image Recognition

在线全文

学校读者我要写书评

暂无评论

Computer Modeling in Engineering & sciences 2025年第1期142卷 405-423页

作者： Jianfeng lu Xiangye huang Caijin li Renlin Xin shanqing Zhang Mahmoud Emam school of Computer science and Technology Hangzhou Dianzi UniversityHangzhou310018China shangyu Institute of science and Engineering Hangzhou Dianzi UniversityShaoxing312300China Faculty of Artificial Intelligence Menoufia UniversityShebin El-Koom32511Egypt

seal authentication is an important task for verifying the authenticity of stamped seals used in various domains to protect legal documents from tampering and *** seal inspection is commonly audited manually to ensure document ***,manual assessment of seal images is tedious and laborintensive due to human errors,inconsistent placement,and completeness of the *** image recognition systems are inadequate enough to identify seal types accurately,necessitating a neural network-based method for seal image ***,neural network-based classification algorithms,such as Residual Networks(ResNet)andVisualGeometryGroup with 16 layers(VGG16)yield suboptimal recognition rates on stamp ***,the fixed training data categories make handling new categories to be a challenging *** paper proposes amulti-stage seal recognition algorithmbased on siamese network to overcome these ***,the seal image is pre-processed by applying an image rotation correction module based on Histogram of Oriented Gradients(HOG).secondly,the similarity between input seal image pairs is measured by utilizing a similarity comparison module based on the siamese ***,we compare the results with the pre-stored standard seal template images in the database to obtain the seal *** evaluate the performance of the proposed method,we further create a new seal image dataset that contains two subsets with 210,000 valid labeled pairs in *** proposed work has a practical significance in industries where automatic seal authentication is essential as in legal,financial,and governmental sectors,where automatic seal recognition can enhance document security and streamline validation ***,the experimental results show that the proposed multi-stage method for seal image recognition outperforms state-of-the-art methods on the two established datasets.

关键词： seal recognition seal authentication document tampering siamese network spatial transformer network similarity comparison network