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A New Part-of-Speech Tagging System Based on Closed-words,Word Form and Rules
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作者 吴岩 李修昆 王开铸 《Journal of Harbin Institute of Technology(New Series)》 EI CAS 1999年第1期43-45,共3页
A method of part-of-speech tagging of English text based on closed-words, wold-form and rules, its abstract model and formal description of its realizing procedure are presented. Finally, an experimental example is gi... A method of part-of-speech tagging of English text based on closed-words, wold-form and rules, its abstract model and formal description of its realizing procedure are presented. Finally, an experimental example is givento illustrate the application of this method. 展开更多
关键词 Part-of-speech tagging closed-words
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Joint Modeling of Citation Networks and User Preferences for Academic Tagging Recommender System
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作者 Weiming Huang Baisong Liu Zhaoliang Wang 《Computers, Materials & Continua》 SCIE EI 2024年第6期4449-4469,共21页
In the tag recommendation task on academic platforms,existing methods disregard users’customized preferences in favor of extracting tags based just on the content of the articles.Besides,it uses co-occurrence techniq... In the tag recommendation task on academic platforms,existing methods disregard users’customized preferences in favor of extracting tags based just on the content of the articles.Besides,it uses co-occurrence techniques and tries to combine nodes’textual content for modelling.They still do not,however,directly simulate many interactions in network learning.In order to address these issues,we present a novel system that more thoroughly integrates user preferences and citation networks into article labelling recommendations.Specifically,we first employ path similarity to quantify the degree of similarity between user labelling preferences and articles in the citation network.Then,the Commuting Matrix for massive node pair paths is used to improve computational performance.Finally,the two commonalities mentioned above are combined with the interaction paper labels based on the additivity of Poisson distribution.In addition,we also consider solving the model’s parameters by applying variational inference.Experimental results demonstrate that our suggested framework agrees and significantly outperforms the state-of-the-art baseline on two real datasets by efficiently merging the three relational data.Based on the Area Under Curve(AUC)and Mean Average Precision(MAP)analysis,the performance of the suggested task is evaluated,and it is demonstrated to have a greater solving efficiency than current techniques. 展开更多
关键词 Collaborative filtering citation networks variational inference poisson factorization tag recommendation
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BPR-UserRec:a personalized user recommendation method in social tagging systems 被引量:1
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作者 YANG Tan CUI Yi-dong JIN Yue-hui 《The Journal of China Universities of Posts and Telecommunications》 EI CSCD 2013年第1期122-128,共7页
Social tagging is one of the most important characteristics of Web 2.0 services, and social tagging systems (STS) are becoming more and more popular for users to annotate, organize and share items on the Web. Moreov... Social tagging is one of the most important characteristics of Web 2.0 services, and social tagging systems (STS) are becoming more and more popular for users to annotate, organize and share items on the Web. Moreover, online social network has been incorporated into social tagging systems. As more and more users tend to interact with real friends on the Web, personalized user recommendation service provided in social tagging systems is very appealing. In this paper, we propose a personalized user recommendation method, and our method handles not only the users' interest networks, but also the social network information. We empirically show that our method outperforms a state-of-the-art method on real dataset from Last.fro dataset and Douban. 展开更多
关键词 social tagging systems user recommendation tensor factorization
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Molecular analysis of rice plants harboring a multi-functional T-DNA tagging system 被引量:5
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作者 Yimian Ma Luo Liu +10 位作者 Chengguang Zhu Changhui Sun Bo Xu Jun Fang Jiuyou Tang Anding Luo Shouyun Cao Gupo Li Qian Qian Yongbiao Xue Chengcai Chu 《Journal of Genetics and Genomics》 SCIE CAS CSCD 2009年第5期267-276,共10页
About 25,000 rice T-DNA insertional mutant lines were generated using the vector pCAS04 which has both promoter-trapping and activation-tagging function. Southern blot analysis revealed that about 40% of these mutants... About 25,000 rice T-DNA insertional mutant lines were generated using the vector pCAS04 which has both promoter-trapping and activation-tagging function. Southern blot analysis revealed that about 40% of these mutants were single copy integration and the average T-DNA insertion number was 2.28. By extensive phenotyping in the field, quite a number of agronomically important mutants were obtained. Histochemical GUS assay with 4,310 primary mutants revealed that the GUS-staining frequency was higher than that of the previous reports in various tissues and especially high in flowers. The T-DNA flanking sequences of some mutants were isolated and the T-DNA insertion sites were mapped to the rice genome. The flanking sequence analysis demonstrated the different integration pattern of the right border and left border into rice genome. Compared with Arabidopsis and poplar, it is much varied in the T-DNA border junctions in rice. 展开更多
关键词 rice mutant population promoter trap activation tag T-DNA integration
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Tax-folks hybrid navigation:A new model for resource aggregation in social tagging system
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作者 Yunzhong ZHANG Meng YANG 《Journal of Library Science in China》 2014年第1期160-175,共16页
With emergence of Web 2.0,taxonomy and folksonomy have shown a trend of complementarity and integration,and a hybrid tax-folks navigation structure has become a new way to facilitate resource aggregation in social tag... With emergence of Web 2.0,taxonomy and folksonomy have shown a trend of complementarity and integration,and a hybrid tax-folks navigation structure has become a new way to facilitate resource aggregation in social tagging system.In this paper,the generation mechanism of tax-folks hybrid navigation model is analyzed,and the tax-folks hybrid navigation model,which consist of six modules:data preparation,concept lattice construction,concept lattice analysis,tax-folks mapping,tax-folks hybrid navigation tree and outputs& evaluation,is constructed with the theory of formal concept analysis.The study finds that tax-folks hybrid navigation model takes into account the advantages of taxonomy and folksonomy,achieves a tree-like resource aggregation,and effectively improves the resources-finding ability in social tagging system. 展开更多
关键词 Social tagging system TAXONOMY FOLKSONOMY Resource aggregation HYBRID NAVIGATION FORMAL concept analysis
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A U-Shaped Network-Based Grid Tagging Model for Chinese Named Entity Recognition
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作者 Yan Xiang Xuedong Zhao +3 位作者 Junjun Guo Zhiliang Shi Enbang Chen Xiaobo Zhang 《Computers, Materials & Continua》 SCIE EI 2024年第6期4149-4167,共19页
Chinese named entity recognition(CNER)has received widespread attention as an important task of Chinese information extraction.Most previous research has focused on individually studying flat CNER,overlapped CNER,or d... Chinese named entity recognition(CNER)has received widespread attention as an important task of Chinese information extraction.Most previous research has focused on individually studying flat CNER,overlapped CNER,or discontinuous CNER.However,a unified CNER is often needed in real-world scenarios.Recent studies have shown that grid tagging-based methods based on character-pair relationship classification hold great potential for achieving unified NER.Nevertheless,how to enrich Chinese character-pair grid representations and capture deeper dependencies between character pairs to improve entity recognition performance remains an unresolved challenge.In this study,we enhance the character-pair grid representation by incorporating both local and global information.Significantly,we introduce a new approach by considering the character-pair grid representation matrix as a specialized image,converting the classification of character-pair relationships into a pixel-level semantic segmentation task.We devise a U-shaped network to extract multi-scale and deeper semantic information from the grid image,allowing for a more comprehensive understanding of associative features between character pairs.This approach leads to improved accuracy in predicting their relationships,ultimately enhancing entity recognition performance.We conducted experiments on two public CNER datasets in the biomedical domain,namely CMeEE-V2 and Diakg.The results demonstrate the effectiveness of our approach,which achieves F1-score improvements of 7.29 percentage points and 1.64 percentage points compared to the current state-of-the-art(SOTA)models,respectively. 展开更多
关键词 Chinese named entity recognition character-pair relation classification grid tagging U-shaped segmentation network
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A Novel Anti-Collision Algorithm for Large Scale of UHF RFID Tags Access Systems
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作者 Xu Zhang Yi He +9 位作者 Haiwen Yi Yulu Zhang Yuan Li Shuai Ma Gui Li Zhiyuan Zhao Yue Liu Junyang Liu Guangjun Wen Jian Li 《Computers, Materials & Continua》 SCIE EI 2024年第7期897-912,共16页
When the radio frequency identification(RFID)system inventories multiple tags,the recognition rate will be seriously affected due to collisions.Based on the existing dynamic frame slotted Aloha(DFSA)algorithm,a sub-fr... When the radio frequency identification(RFID)system inventories multiple tags,the recognition rate will be seriously affected due to collisions.Based on the existing dynamic frame slotted Aloha(DFSA)algorithm,a sub-frame observation and cyclic redundancy check(CRC)grouping combined dynamic framed slotted Aloha(SUBF-CGDFSA)algorithm is proposed.The algorithm combines the precise estimation method of the quantity of large-scale tags,the large-scale tags grouping mechanism based on CRC pseudo-randomcharacteristics,and the Aloha anti-collision optimization mechanism based on sub-frame observation.By grouping tags and sequentially identifying themwithin subframes,it accurately estimates the number of remaining tags and optimizes frame length accordingly to improve efficiency in large-scale RFID systems.Simulation outcomes demonstrate that this proposed algorithmcan effectively break through the system throughput bottleneck of 36.8%,which is up to 30%higher than the existing DFSA standard scheme,and has more significant advantages,which is suitable for application in largescale RFID tags scenarios. 展开更多
关键词 Radio frequency identification ANTI-COLLISION tags grouping dynamic framed slotted Aloha
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Molecular Tagging of a New Resistance Gene to Maize Dwarf Mosaic Virus Using Microsatellite Markers 被引量:6
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作者 吴建宇 汤继华 +1 位作者 夏宗良 陈伟程 《Acta Botanica Sinica》 CSCD 2002年第2期177-180,共4页
With joint analysis based on the parents, F 1, F 2 and backcrosses, the authors found that the resistance of the maize inbred line Huangzaosi to the maize dwarf mosaic virus strain B was conditioned by a major gene ... With joint analysis based on the parents, F 1, F 2 and backcrosses, the authors found that the resistance of the maize inbred line Huangzaosi to the maize dwarf mosaic virus strain B was conditioned by a major gene and polygene, and identified a new major gene. Bulked segregate and microsatellite analysis of a F 2 progeny from the combination of Huangzaosi×Mo17 were used to identify the resistance gene, mdm1(t), on the long arm of chromosome 6. This new resistance gene is tightly linked to and located between the microsatellite markers loci, phi077 and bnlg391. The linkage distances between phi077-mdm1(t) and mdm1(t)-bnlg391 are 4.74 centiMorgan (cM) and 6.72 cM respectively. 展开更多
关键词 MAIZE maize dwarf mosaic virus resistance gene MICROSATELLITE molecular tagging
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Connotea中Social Tagging机制研究 被引量:9
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作者 张玫 张晓林 《现代图书情报技术》 CSSCI 北大核心 2007年第7期1-4,共4页
选取Connotea为研究对象,统计分析标签、被标引资源、标引者两两关联关系,发现标签覆盖资源范围较广,标签共现现象突出,部分用户标引活跃,资源平均标签数较低,用户对内容关注度规律性转移,科研领域的用户比较多地使用规范词。提出增加... 选取Connotea为研究对象,统计分析标签、被标引资源、标引者两两关联关系,发现标签覆盖资源范围较广,标签共现现象突出,部分用户标引活跃,资源平均标签数较低,用户对内容关注度规律性转移,科研领域的用户比较多地使用规范词。提出增加标引词结构关联和细粒内容定位标引。 展开更多
关键词 Connotea SOCIAL tagging Folksonomy标签 用户行为
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国外Social Tagging研究群体分析 被引量:2
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作者 徐晨 《情报杂志》 CSSCI 北大核心 2013年第5期138-144,共7页
基于抽取的国外知名数据库的学术文献,分析探讨Social Tagging研究群体的学科特征和研究视角。结果表明当前Social Tagging的研究群体主要局限于信息科学与计算机科学,且未形成居于统治权威地位的研究团体和研究人员。自从Social Taggin... 基于抽取的国外知名数据库的学术文献,分析探讨Social Tagging研究群体的学科特征和研究视角。结果表明当前Social Tagging的研究群体主要局限于信息科学与计算机科学,且未形成居于统治权威地位的研究团体和研究人员。自从Social Tagging产生以来,"Social Tagging的组成功能"的研究一直是Social Tagging的基础性研究维度,不过随着应用深入发展,研究维度逐步转而融合信息检索和人机交互这两个相关领域知识分析"Tagger的行为及Social Tagging的界面设计"和"Social Tagging自身的组织和使用"这两个主要研究维度。 展开更多
关键词 SOCIAL tagging 研究群体 文献计量学 合作网络
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基于OPC Systems.NET智能建筑系统集成初探
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作者 王丽 刘剑 《智能建筑与城市信息》 2014年第8期83-85,共3页
论文以智能建筑集成的系统研发为应用背景,介绍OPC Systems.NET特性和智能客户端部署,分析与系统集成关联的技术,并深入探讨基于OPC Systems.NET平台的集成方法。
关键词 智能建筑系统集成技术 OPC systemS NET TAG
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Molecular tagging techniques and their applications to the study of complex thermal flow phenomena 被引量:6
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作者 Fang Chen Haixing Li Hui Hu 《Acta Mechanica Sinica》 SCIE EI CAS CSCD 2015年第4期425-445,共21页
This review article reports the recent progress in the development of a new group of molecule-based flow diagnostic techniques, which include molecular tag- ging velocimetry (MTV) and molecular tagging thermometry ... This review article reports the recent progress in the development of a new group of molecule-based flow diagnostic techniques, which include molecular tag- ging velocimetry (MTV) and molecular tagging thermometry (MTT), for both qualitative flow visualization of thermally induced flow structures and quantitative whole-field mea- surements of flow velocity and temperature distributions. The MTV and MTT techniques can also be easily combined to result in a so-called molecular tagging velocimetry and ther- mometry (MTV&T) technique, which is capble of achieving simultaneous measurements of flow velocity and temperature distribution in fluid flows. Instead of using tiny particles, the molecular tagging techniques (MTV, MTT, and MTV&T) use phosphorescent molecules, which can be turned into long-lasting glowing marks upon excitation by photons of appropriate wavelength, as the tracers for the flow veloc- ity and temperature measurements. The unique attraction and implementation of the molecular tagging techniques are demonstrated by three application examples, which include: (1) to quantify the unsteady heat transfer process from a heated cylinder to the surrounding fluid flow in order to exam- ine the thermal effects on the wake instabilities behind the heated cylinder operating in mixed and forced heat convec- tion regimes, (2) to reveal the time evolution of unsteady heat transfer and phase changing process inside micro-sized, icing water droplets in order to elucidate the underlying physics pertinent to aircraft icing phenomena, and (3) to achievesimultaneous droplet size, velocity and temperature measure- ments of "in-flight" droplets to characterize the dynamic and thermodynamic behaviors of flying droplets in spray flows. 展开更多
关键词 Molecular tagging velocimetry Molecular tagging thermometry Wake instabilities behindthe heated cylinder Aircraft icing Icing physics of waterdroplets Dynamics and thermodynamics of flying dropletsin spray flows
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Unified Framework of Performing Chinese Word Segmentation and Part-of-Speech Tagging 被引量:4
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作者 Zhang Kaixu Sun Maosong 《China Communications》 SCIE CSCD 2012年第3期1-9,共9页
The paper proposes a unified framework to combine the advantages of the fast one-at-a-time approach and the high-performance all-at-once approach to perform Chinese Word Segmentation(CWS) and Part-of-Speech(PoS) taggi... The paper proposes a unified framework to combine the advantages of the fast one-at-a-time approach and the high-performance all-at-once approach to perform Chinese Word Segmentation(CWS) and Part-of-Speech(PoS) tagging.In this framework,the input of the PoS tagger is a candidate set of several CWS results provided by the CWS model.The widely used one-at-a-time approach and all-at-once approach are two extreme cases of the proposed candidate-based approaches.Experiments on Penn Chinese Treebank 5 and Tsinghua Chinese Treebank show that the generalized candidate-based approach outperforms one-at-a-time approach and even the all-at-once approach.The candidate-based approach is also faster than the time-consuming all-at-once approach.The authors compare three different methods based on sentence,words and character-intervals to generate the candidate set.It turns out that the word-based method has the best performance. 展开更多
关键词 natural language processing Chineseword segmentation PoS tagging CANDIDATE wordlattice
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Improved hidden Markov model for speech recognition and POS tagging 被引量:4
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作者 袁里驰 《Journal of Central South University》 SCIE EI CAS 2012年第2期511-516,共6页
In order to overcome defects of the classical hidden Markov model (HMM), Markov family model (MFM), a new statistical model was proposed. Markov family model was applied to speech recognition and natural language proc... In order to overcome defects of the classical hidden Markov model (HMM), Markov family model (MFM), a new statistical model was proposed. Markov family model was applied to speech recognition and natural language processing. The speaker independently continuous speech recognition experiments and the part-of-speech tagging experiments show that Markov family model has higher performance than hidden Markov model. The precision is enhanced from 94.642% to 96.214% in the part-of-speech tagging experiments, and the work rate is reduced by 11.9% in the speech recognition experiments with respect to HMM baseline system. 展开更多
关键词 hidden Markov model Markov family model speech recognition part-of-speech tagging
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Global myocardial strain assessment by different imaging modalities to predict outcomes after ST-elevation myocardial infarction:A systematic review 被引量:2
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作者 Abhishek Shetye Sheraz A Nazir +1 位作者 Iain B Squire Gerald P McCann 《World Journal of Cardiology》 CAS 2015年第12期948-960,共13页
AIM: To conduct a systematic review relating myocardial strain assessed by different imaging modalities for prognostication following ST-elevation myocardial infarction(STEMI).METHODS: An online literature search was ... AIM: To conduct a systematic review relating myocardial strain assessed by different imaging modalities for prognostication following ST-elevation myocardial infarction(STEMI).METHODS: An online literature search was performed in Pub Med and OVID&#174; electronic databases to identify any studies that assessed global myocardial strain parameters using speckle-tracking echocardiography(STE) and/or cardiac magnetic resonance imaging(CMR) techniques [either myocardial tagging or feature tracking(FT) software] in an acute STEMI cohort(days 0-14 post-event) to predict prognosis [either development of major adverse cardiac events(MACE)] or adverse left ventricular(LV) remodelling at follow-up(≥ 6 mo for MACE,≥ 3 mo for remodelling). Search was restricted to studies within the last 20 years. All studies that matched the pre-defined search criteria were reviewed and their results interpreted. Due to considerable heterogeneity between studies,metaanalysis was not performed.RESULTS: A total of seven studies(n = 7) were identified that matched the search criteria. All studies used STE to evaluate strain parameters- five(n = 5) assessed global longitudinal strain(GLS)(n = 5),one assessed GLS rate(GLS-R)(n = 1) and one assessed both(n = 1). Three studies showed that GLS independently predicted the development of adverse LV remodelling by multivariate analysis- odds ratio between 1.19(CI: 1.04-1.37,P < 0.05) and 10(CI: 6.7-14,P < 0.001) depending on the study. Four studies showed that GLS predicted the development of MACE- hazard ratio(HR) between 1.1(CI: 1-1.1,P = 0.006) and 2.34(1.10-4.97,P < 0.05). One paper found that GLS-R could significantly predict MACEHR 18(10-35,P < 0.001)- whilst another showed it did not. GLS <-10.85% had sensitivity/specificity of 89.7%/91% respectively for predicting the development of remodelling whilst GLS <-13% could predict the development of MACE with sensitivity/specificity of 100%/89% respectively. No suitable studies were identified that assessed global strain by CMR tagging or FT techniques.CONCLUSION: GLS measured acutely post-STEMI by STE is a predictor of poor prognosis. Further research is needed to show that this is true for CMR-based techniques. 展开更多
关键词 Strain SPECKLE TRACKING tagging Feature TRACKING MYOCARDIAL INFARCTION Major ADVERSE cardiac events REMODELLING
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A Cross Layer Protocol for Fast Identification of Blocked Tags in Large-Scale RFID Systems 被引量:2
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作者 Chu Chu Zhong Huang +2 位作者 Rui Xu Guangjun Wen Lilan Liu 《Computers, Materials & Continua》 SCIE EI 2020年第9期1705-1724,共20页
Blocker tag attack is one of the denial-of-service(DoS)attacks that threatens the privacy and security of RFID systems.The attacker interferes with the blocked tag by simulating a fake tag with the same ID,thus causin... Blocker tag attack is one of the denial-of-service(DoS)attacks that threatens the privacy and security of RFID systems.The attacker interferes with the blocked tag by simulating a fake tag with the same ID,thus causing a collision of message replies.In many practical scenarios,the number of blocked tags may vary,or even be small.For example,the attacker may only block the important customers or high-value items.To avoid the disclosure of privacy and economic losses,it is of great importance to fast pinpoint these blocked ones.However,existing works do not take into account the impact of the number of blocked tags on the execution time and suffer from incomplete identification of blocked tags,long identification time or privacy leakage.To overcome these limits,we propose a cross layer blocked tag identification protocol(CLBI).CLBI consists of multiple rounds,in which it enables multiple unblocked tags to select one time slot and concurrently verify them by using tag estimation in physical layer.Benefiting from the utilization of most collision slots,the execution time can be greatly reduced.Furthermore,for efficient identification of blocked tags under different proportions,we propose a hybrid protocol named adaptive cross layer blocked tag identification protocol(A-CLBI),which estimates the remaining blocked tag in each round and adjusts the identification strategy accordingly.Extensive simulations show that our protocol outperforms state-of-the-art blocked tags identification protocol. 展开更多
关键词 RFID blocked tag physical layer ESTIMATION IDENTIFICATION
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Localization of pallets in warehouses using passive RFID system 被引量:2
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作者 周俊儒 张宏建 周洪亮 《Journal of Central South University》 SCIE EI CAS CSCD 2015年第8期3017-3025,共9页
Warehouse operation has become a critical activity in supply chain. Position information of pallets is important in warehouse management which can enhance the efficiency of pallets picking and sortation. Radio frequen... Warehouse operation has become a critical activity in supply chain. Position information of pallets is important in warehouse management which can enhance the efficiency of pallets picking and sortation. Radio frequency identification(RFID) has been widely used in warehouse for item identifying. Meanwhile, RFID technology also has great potential for pallets localization which is underutilized in warehouse management. RFID-based checking-in and inventory systems have been applied in warehouse management by many enterprises. Localization approach is studied, which is compatible with existing RFID checking-in and inventory systems. A novel RFID localization approach is proposed for pallets checking-in. Phase variation of nearby tags was utilized to estimate the position of added pallets. A novel inventory localization approach combing angle of arrival(AOA) measurement and received signal strength(RSS) is also proposed for pallets inventory. Experiments were carried out using standard UHF passive RFID system. Experimental results show an acceptable localization accuracy which can satisfy the requirement of warehouse management. 展开更多
关键词 warehouse management radio frequency identification (RFID) LOCALIZATION tag phase
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A Physical Layer Network Coding Based Tag Anti-Collision Algorithm for RFID System 被引量:3
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作者 Cuixiang Wang Xing Shao +1 位作者 Yifan Meng Jun Gao 《Computers, Materials & Continua》 SCIE EI 2021年第1期931-945,共15页
In RFID(Radio Frequency IDentification)system,when multiple tags are in the operating range of one reader and send their information to the reader simultaneously,the signals of these tags are superimposed in the air,w... In RFID(Radio Frequency IDentification)system,when multiple tags are in the operating range of one reader and send their information to the reader simultaneously,the signals of these tags are superimposed in the air,which results in a collision and leads to the degrading of tags identifying efficiency.To improve the multiple tags’identifying efficiency due to collision,a physical layer network coding based binary search tree algorithm(PNBA)is proposed in this paper.PNBA pushes the conflicting signal information of multiple tags into a stack,which is discarded by the traditional anti-collision algorithm.In addition,physical layer network coding is exploited by PNBA to obtain unread tag information through the decoding operation of physical layer network coding using the conflicting information in the stack.Therefore,PNBA reduces the number of interactions between reader and tags,and improves the tags identification efficiency.Theoretical analysis and simulation results using MATLAB demonstrate that PNBA reduces the number of readings,and improve RFID identification efficiency.Especially,when the number of tags to be identified is 100,the average needed reading number of PNBA is 83%lower than the basic binary search tree algorithm,43%lower than reverse binary search tree algorithm,and its reading efficiency reaches 0.93. 展开更多
关键词 Radio frequency identification(RFID) tag anti-collision algorithm physical layer network coding binary search tree algorithm
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The Detectability for the Myocardial Fibrosis by Tagging Imaging on Cardiovascular Magnetic Resonance 被引量:1
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作者 Atsushi K. Kono Pierre Croisille +6 位作者 Tatsuya Nishii Katsusuke Kyotani Koya Nishiyama Mayumi Shigeru Sachiko Takamine Sei Fujiwara Kazuro Sugimura 《Open Journal of Radiology》 2014年第1期1-8,共8页
Purpose: Myocardial fibrosis causes cardiac dysfunction, arrhythmias, and sudden death. Tagging imaging on cardiovascular MR can measure the intra-myocardial motion from the dynamic deformation of lines superimposed o... Purpose: Myocardial fibrosis causes cardiac dysfunction, arrhythmias, and sudden death. Tagging imaging on cardiovascular MR can measure the intra-myocardial motion from the dynamic deformation of lines superimposed on the myocardium. The purpose of this study was to evaluate the detectability of myocardial fibrosis using tagging imaging and to compare this with conventional cine imaging. Materials and Methods: We reviewed 4 normal control (NML) subjects, 4 patients with myocarditis (MYO), and 4 patients with old myocardial infarction (ICM). We measured circumferential strain (Ecc) from tagging imaging, and regional wall thickening (rWT) from cine imaging. Fibrosis was determined from a late gadolinium enhancement (LGE) image. We evaluate diagnostic performance by comparing values of the area under curve (AUC) using ROC analysis. Results: Mean values of Ecc and rWT decreased in the area of LGE both in MYO and ICM patients. AUC values of Ecc and rWT in all subjects were 0.98 and 0.84, respectively (p < 0.0001). These values in MYO patients were 0.95 and 0.72 (p = 0.007), respectively, and 0.99 and 0.75, respectively, in ICM patients (p = 0.0008). Conclusions: Both Ecc and rWT decreased in the area with fibrosis in the patients with MYO and ICM. Tagging imaging showed better detectability of myocardial fibrosis than did cine imaging. 展开更多
关键词 tagging IMAGING Late GADOLINIUM Enhancement MYOCARDIAL FIBROSIS CARDIOVASCULAR Magnetic Resonance
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A lexicalized second-order-HMM for ambiguity resolution in Chinese segmentation and POS tagging 被引量:1
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作者 陈鄞 Yang Muyun Zhao Tiejun Yu Hao Li Sheng 《High Technology Letters》 EI CAS 2005年第4期346-350,共5页
Hidden Markov Model(HMM) is a main solution to ambiguities in Chinese segmentation anti POS (part-of-speech) tagging. While most previous works tot HMM-based Chinese segmentation anti POS tagging eonsult POS infor... Hidden Markov Model(HMM) is a main solution to ambiguities in Chinese segmentation anti POS (part-of-speech) tagging. While most previous works tot HMM-based Chinese segmentation anti POS tagging eonsult POS informatiou in contexts, they do not utilize lexieal information which is crucial for resoMng certain morphologieal ambiguity. This paper proposes a method which incorporates lexieal information and wider context information into HMM. Model induction anti related smoothing technique are presented in detail. Experiments indicate that this technique improves the segmentation and tagging accuracy by nearly 1%. 展开更多
关键词 hidden Markov model chinese segmentation part-of-speech tagging
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