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Enhancing Geometric Diagram Parsing with Deep Textual Semantics 认领 引用
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作者 Xuhui Zhang Yanli Wang +1 位作者 Pengpeng Jian Lei Wu 《教育技术与创新》 2026年第2期1-9,共9页
A complete analysis of a geometric diagram hinges on interpreting both its fundamental primitives and the accompanying natural language text,yet existing models struggle to process the rich semantics within these desc... A complete analysis of a geometric diagram hinges on interpreting both its fundamental primitives and the accompanying natural language text,yet existing models struggle to process the rich semantics within these descriptions,often leading to ambiguity and restricted reasoning.To address this,our work introduces a method that deeply integrates a Transformer-based text encoder within a sophisticated visual parsing architecture.Central to our approach is a novel Semantic-Guided Cross-Attention mechanism,which uses a global sentence representation as a semantic query to dynamically guide the model’s focus toward the most relevant visual primitives based on the textual context.This end-to-end process generates context-aware visual features that are then processed by a Graph Neural Network(GNN)to perform robust cross-modal reasoning.Validated on the large-scale PGDP5K and IMP-Geometry3K datasets,our method demonstrates substantial accuracy improvements in relationship parsing and geometric proposition generation,especially in challenging cases involving text-diagram ambiguity,and significantly surpasses current state-of-the-art baselines by offering a more effective framework for fusing deep textual semantics with visual information. 展开更多
关键词 geometric problem solving multimodal learning geometric diagram parsing cross-attention DistilBERT
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Hint-SQL:基于自动线索生成的Text-to-SQL提示方法 认领 引用
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作者 谭钊 刘喜平 +4 位作者 舒晴 万齐智 刘德喜 万常选 廖国琼 《计算机学报》 EI CAS CSCD 北大核心 2026年第3期700-720,共21页
Text-to-SQL旨在将自然语言问题翻译为可被数据库系统执行的SQL语句,从而为数据查询提供便利。随着大语言模型(LLMs)技术的发展,基于LLMs的Text-to-SQL提示方法成为该领域的主流解决方案。近年来,研究者在LLMs的提示词中加入线索(Hint)... Text-to-SQL旨在将自然语言问题翻译为可被数据库系统执行的SQL语句,从而为数据查询提供便利。随着大语言模型(LLMs)技术的发展,基于LLMs的Text-to-SQL提示方法成为该领域的主流解决方案。近年来,研究者在LLMs的提示词中加入线索(Hint)来传递具体的Text-to-SQL建议,以引导LLMs生成SQL。然而,现有线索多由研究者根据Text-to-SQL任务的特点人为撰写,其内容过于宽泛,难以根据具体的任务需求做出调整,无法适配所有Text-to-SQL任务。本文提出基于自动线索生成的Text-to-SQL提示方法Hint-SQL,它能够根据当前Text-to-SQL任务自动地生成合适的语义、操作和结构线索,从而引导LLMs生成语义一致、结构正确的SQL。为了生成任务定制化线索,我们构建了线索生成智能体(HAgent)。HAgent基于两阶段微调框架,由开源LLMs微调而来,该框架自动合成微调所需数据,无需人工标注,为监督微调和偏好学习优化提供支持。HintSQL既可以单独使用,也可以用来增强现有方法。大规模实验结果显示,HintSQL独立使用时可以媲美主流方法,也可以显著增强现有方法性能,在BIRD数据集上,HintSQL将当前最好方法的准确率提升到了71.58%,提升幅度达到4.37%。本研究揭示了线索在Text-to-SQL任务中的重要作用,为Text-to-SQL的后续研究提供了参考。 展开更多
关键词 自然语言处理 Text-to-SQL 大语言模型 提示工程 线索
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一种基于Text-to-SQL的高校业务数据智能检索方案 认领 引用
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作者 陈文丽 胡鑫宇 +1 位作者 靳德政 高士博 《计算机时代》 2026年第5期68-73,共6页
随着高校信息化建设的不断深入,各业务系统数据规模迅速增长。然而,传统数据库查询模式依赖预定义功能接口,存在使用门槛高、响应效率低等问题,难以满足高校部分实际需求。针对上述问题,本文提出一种基于Text-to-SQL的高校业务数据智能... 随着高校信息化建设的不断深入,各业务系统数据规模迅速增长。然而,传统数据库查询模式依赖预定义功能接口,存在使用门槛高、响应效率低等问题,难以满足高校部分实际需求。针对上述问题,本文提出一种基于Text-to-SQL的高校业务数据智能检索方案。该方案基于LangChain构建自然语言交互框架,采用微调后的Qwen2.5-7B-Instruct大语言模型,并结合提示工程技术实现自然语言到结构化查询语句(SQL)的自动转换,从而完成该检索系统的私有化部署。实验结果表明,该方案在自建的高校业务数据库环境下,SQL执行准确率达62%,平均响应时间在10秒以内,能够显著提升业务人员数据获取效率。该方案为高校业务数据智能检索提供一种具有较高可行性的技术路径。 展开更多
关键词 大语言模型 微调 Text-to-SQL LangChain
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Explore human parsing modality for action recognition 认领 引用 被引量：1
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作者 Jinfu Liu Runwei Ding +5 位作者 Yuhang Wen Nan Dai Fanyang Meng Fang-Lue Zhang Shen Zhao Mengyuan Liu 《CAAI Transactions on Intelligence Technology》 SCIE EI 2024年第6期1623-1633,共11页
Multimodal-based action recognition methods have achieved high success using pose and RGB modality.However,skeletons sequences lack appearance depiction and RGB images suffer irrelevant noise due to modality limitatio... Multimodal-based action recognition methods have achieved high success using pose and RGB modality.However,skeletons sequences lack appearance depiction and RGB images suffer irrelevant noise due to modality limitations.To address this,the authors introduce human parsing feature map as a novel modality,since it can selectively retain effective semantic features of the body parts while filtering out most irrelevant noise.The authors propose a new dual-branch framework called ensemble human parsing and pose network(EPP-Net),which is the first to leverage both skeletons and human parsing modalities for action recognition.The first human pose branch feeds robust skeletons in the graph convolutional network to model pose features,while the second human parsing branch also leverages depictive parsing feature maps to model parsing features via convolutional backbones.The two high-level features will be effectively combined through a late fusion strategy for better action recognition.Extensive experiments on NTU RGB t D and NTU RGB t D 120 benchmarks consistently verify the effectiveness of our proposed EPP-Net,which outperforms the existing action recognition methods.Our code is available at http://gffzz188fe103f8f1460asv6unpvf950656ucc.ffgz.tsg.suse.edu.cn/liujf69/EPP-Net-Action. 展开更多
关键词 action recognition human parsing human skeletons
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Two-stage approach to full Chinese parsing 认领 引用 被引量：3
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作者 曹海龙 Zhao Tiejun Yang Muyun Li Sheng 《High Technology Letters》 EI CAS 2005年第4期359-363,共5页
Natural language parsing is a task of great importance and extreme difficulty. In this paper, we present a full Chinese parsing system based on a two-stage approach. Rather than identifying all phrases by a uniform mo... Natural language parsing is a task of great importance and extreme difficulty. In this paper, we present a full Chinese parsing system based on a two-stage approach. Rather than identifying all phrases by a uniform model, we utilize a divide and conquer strategy. We propose an effective and fast method based on Markov model to identify the base phrases. Then we make the first attempt to extend one of the best English parsing models i.e. the head-driven model to recognize Chinese complex phrases. Our two-stage approach is superior to the uniform approach in two aspects. First, it creates synergy between the Markov model and the head-driven model. Second, it reduces the complexity of full Chinese parsing and makes the parsing system space and time efficient. We evaluate our approach in PARSEVAL measures on the open test set, the parsing system performances at 87.53% precision, 87.95% recall. 展开更多
关键词 natural language processing systems parsing markov model pattern recognition
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SUBDIVIDING VERBS TO IMPROVE SYNTACTIC PARSING 认领 引用 被引量：3
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作者 Liu Ting Ma Jinshan Zhang Huipeng Li Sheng 《Journal of Electronics(China)》 2007年第3期347-352,共6页
This paper proposes a new way to improve the performance of dependency parser: subdividing verbs according to their grammatical functions and integrating the information of verb subclasses into lexicalized parsing mod... This paper proposes a new way to improve the performance of dependency parser: subdividing verbs according to their grammatical functions and integrating the information of verb subclasses into lexicalized parsing model. Firstly,the scheme of verb subdivision is described. Secondly,a maximum entropy model is presented to distinguish verb subclasses. Finally,a statistical parser is developed to evaluate the verb subdivision. Experimental results indicate that the use of verb subclasses has a good influence on parsing performance. 展开更多
关键词 Verb subdivision Maximum entropy model Syntactic parsing Natural language processing
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Improved head-driven statistical models for natural language parsing 认领 引用 被引量：1
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作者 袁里驰 《Journal of Central South University》 SCIE EI CAS 2013年第10期2747-2752,共6页
Head-driven statistical models for natural language parsing are the most representative lexicalized syntactic parsing models, but they only utilize semantic dependency between words, and do not incorporate other seman... Head-driven statistical models for natural language parsing are the most representative lexicalized syntactic parsing models, but they only utilize semantic dependency between words, and do not incorporate other semantic information such as semantic collocation and semantic category. Some improvements on this distinctive parser are presented. Firstly, "valency" is an essential semantic feature of words. Once the valency of word is determined, the collocation of the word is clear, and the sentence structure can be directly derived. Thus, a syntactic parsing model combining valence structure with semantic dependency is purposed on the base of head-driven statistical syntactic parsing models. Secondly, semantic role labeling(SRL) is very necessary for deep natural language processing. An integrated parsing approach is proposed to integrate semantic parsing into the syntactic parsing process. Experiments are conducted for the refined statistical parser. The results show that 87.12% precision and 85.04% recall are obtained, and F measure is improved by 5.68% compared with the head-driven parsing model introduced by Collins. 展开更多
关键词 valence structure semantic dependency head-driven statistical syntactic parsing semantic role labeling
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Fast Chinese syntactic parsing method based on conditional random fields 认领 引用
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作者 韩磊 罗森林 +1 位作者 陈倩柔 潘丽敏 《Journal of Beijing Institute of Technology》 EI CAS 2015年第4期519-525,共7页
A fast method for phrase structure grammar analysis is proposed based on conditional ran- dom fields （CRF）. The method trains several CRF classifiers for recognizing the phrase nodes at dif- ferent levels, and uses ... A fast method for phrase structure grammar analysis is proposed based on conditional ran- dom fields （CRF）. The method trains several CRF classifiers for recognizing the phrase nodes at dif- ferent levels, and uses the bottom-up to connect the recognized phrase nodes to construct the syn- tactic tree. On the basis of Beijing forest studio Chinese tagged corpus, two experiments are de- signed to select the training parameters and verify the validity of the method. The result shows that the method costs 78. 98 ms and 4. 63 ms to train and test a Chinese sentence of 17. 9 words. The method is a new way to parse the phrase structure grammar for Chinese, and has good generalization ability and fast speed. 展开更多
关键词 phrase structure grammar syntactic tree syntactic parsing conditional random field
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Video events recognition by improved stochastic parsing based on extended stochastic context-free grammar representation 认领 引用
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作者 曹茂永 赵猛 +1 位作者 裴明涛 赵增顺 《Journal of Beijing Institute of Technology》 EI CAS 2013年第1期81-88,共8页
Video events recognition is a challenging task for high-level understanding of video se- quence. At present, there are two major limitations in existing methods for events recognition. One is that no algorithms are av... Video events recognition is a challenging task for high-level understanding of video se- quence. At present, there are two major limitations in existing methods for events recognition. One is that no algorithms are available to recognize events which happen alternately. The other is that the temporal relationship between atomic actions is not fully utilized. Aiming at these problems, an algo- rithm based on an extended stochastic context-free grammar （SCFG） representation is proposed for events recognition. Events are modeled by a series of atomic actions and represented by an extended SCFG. The extended SCFG can express the hierarchical structure of the events and the temporal re- lationship between the atomic actions. In comparison with previous work, the main contributions of this paper are as follows： ① Events （include alternating events） can be recognized by an improved stochastic parsing and shortest path finding algorithm. ② The algorithm can disambiguate the detec- tion results of atomic actions by event context. Experimental results show that the proposed algo- rithm can recognize events accurately and most atomic action detection errors can be corrected sim- ultaneously. 展开更多
关键词 video events recognition stochastic context-flee grammar stochastic parsing tempo-ral relationship
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基于检索增强Text-to-SQL生成的书目搜索对话问答系统研究 认领 引用 被引量：1
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作者 王震宇 朱学芳 +2 位作者 张君冬 杨睿 刘崧印 《数据分析与知识发现》 EI CSSCI CSCD 北大核心 2025年第11期165-174,共10页
【目的】针对书目搜索场景中自然语言查询难以准确映射为结构化数据库查询的问题,本文构建对话式问答系统并提出改进方法。【方法】该系统采用模型上下文协议实现大语言模型与外部数据库的无缝集成。在此基础上,针对示例驱动的Text-to-... 【目的】针对书目搜索场景中自然语言查询难以准确映射为结构化数据库查询的问题,本文构建对话式问答系统并提出改进方法。【方法】该系统采用模型上下文协议实现大语言模型与外部数据库的无缝集成。在此基础上,针对示例驱动的Text-to-SQL生成易受噪声与领域差异影响的问题,设计了一种基于对比学习的示例选择策略,通过微调文本嵌入模型,使其更关注查询的句法结构与检索意图,从而提升相似度排序质量。实验基于构建的书目搜索语义解析数据集进行,在零样本与少样本条件下对系统性能进行对比验证。【结果】相较于零样本设置,采用本文方法的DeepSeek-V3模型在5-Shot场景下的SQL执行准确率提高了18.5个百分点,验证了该示例选择策略在专业领域Text-to-SQL任务中的有效性。【局限】由于实验数据集覆盖范围有限,系统对跨领域查询的适应性仍需进一步增强。【结论】研究证明了大语言模型结合对比学习示例选择策略在书目智能搜索场景中的有效性,可为其他垂直领域对话问答系统的构建与优化提供参考。 展开更多
关键词 书目搜索 检索增强生成 Text-to-SQL 对话问答系统 模型上下文协议
面向研究生招生咨询的中文Text-to-SQL模型 认领 引用 被引量：2
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作者 王庆丰 李旭 +1 位作者 姚春龙 程腾腾 《计算机工程》 CAS CSCD 北大核心 2025年第3期362-368,共7页
研究生招生咨询是一种具有代表性的短时间高频次问答应用场景。针对现有基于词向量等方法的招生问答系统返回答案不够精确,以及每年需要更新问题库的问题,引入了基于文本转结构化查询语言(Text-to-SQL)技术的RESDSQL模型,可将自然语言... 研究生招生咨询是一种具有代表性的短时间高频次问答应用场景。针对现有基于词向量等方法的招生问答系统返回答案不够精确,以及每年需要更新问题库的问题,引入了基于文本转结构化查询语言(Text-to-SQL)技术的RESDSQL模型,可将自然语言问题转化为SQL语句后到结构化数据库中查询答案并返回。搜集了研究生招生场景中的高频咨询问题,根据3所高校真实招生数据,构建问题与SQL语句模板,通过填充模板的方式构建数据集,共有训练集1501条、测试集386条。将RESDSQL的RoBERTa模型替换为具有更强多语言生成能力的XLM-RoBERTa模型、T5模型替换为mT5模型,并在目标领域数据集上进行微调,在招生领域问题上取得了较高的准确率,在mT5-large模型上执行正确率为0.95,精确匹配率为1。与基于ChatGPT3.5模型、使用零样本提示的C3SQL方法对比,该模型性能与成本均更优。 展开更多
关键词 中文文本转结构化查询语言 自然语言查询 中文SQL语句生成 预训练模型 Text-to-SQL数据集
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基于关系感知图神经网络的Text-to-SQL方法 认领 引用 被引量：2
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作者 曹渝昆 王天浩 +3 位作者 李云峰 陈明 李晶晶 刘元旻 《计算机工程》 CAS CSCD 北大核心 2025年第9期129-138,共10页
Text-to-SQL语义解析任务旨在将自然语言问题转化为可执行的SQL语句。近年来,许多研究将预训练模型等方法应用到该任务中,并取得了一定的进展。然而,现有的预训练模型没有针对Text-to-SQL任务进行重新训练,不能很好地适应任务的场景语... Text-to-SQL语义解析任务旨在将自然语言问题转化为可执行的SQL语句。近年来,许多研究将预训练模型等方法应用到该任务中,并取得了一定的进展。然而,现有的预训练模型没有针对Text-to-SQL任务进行重新训练,不能很好地适应任务的场景语义特征信息,从而影响模型的解析性能。同时,许多方法还容易忽略自然语言问题与数据库模式间的关系,造成解析过程中语义模糊的问题。为解决这些问题,提出一种新的RGA-T5模型来完成Text-to-SQL语义解析任务。该模型在预训练模型T5中引入了关系感知异构图神经网络(HGNN),将输入的实体与关系构建为异构图上的节点,并通过应用图神经网络(GNN)实现模型对输入序列的语义关系感知。同时,还提出空间门控适配器,对其参数进行训练实现对预训练模型的微调,使模型能够针对该任务适应不同场景下的语义特征信息,减少无关信息的引入。实验结果表明,该模型在Spider数据集上相较于其他先进的Text-to-SQL解析方法取得了一定程度的性能提升,验证了所提方法的有效性。 展开更多
关键词 语义解析 预训练模型 异构图神经网络 空间门控单元 适配器
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Design and Implementation of Weibo Sentiment Analysis Based on LDA and Dependency Parsing 认领 引用 被引量：5
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作者 Yonggan Li Xueguang Zhou +1 位作者 Yan Sun Huanguo Zhang 《China Communications》 SCIE CSCD 2016年第11期91-105,共15页
Information content security is a branch of cyberspace security. How to effectively manage and use Weibo comment information has become a research focus in the field of information content security. Three main tasks i... Information content security is a branch of cyberspace security. How to effectively manage and use Weibo comment information has become a research focus in the field of information content security. Three main tasks involved are emotion sentence identification and classification,emotion tendency classification,and emotion expression extraction. Combining with the latent Dirichlet allocation(LDA) model,a Gibbs sampling implementation for inference of our algorithm is presented,and can be used to categorize emotion tendency automatically with the computer. In accordance with the lower ratio of recall for emotion expression extraction in Weibo,use dependency parsing,divided into two categories with subject and object,summarized six kinds of dependency models from evaluating objects and emotion words,and proposed that a merge algorithm for evaluating objects can be accurately evaluated by participating in a public bakeoff and in the shared tasks among the best methods in the sub-task of emotion expression extraction,indicating the value of our method as not only innovative but practical. 展开更多
关键词 information security information content security sentiment analysis dependency parsing emotion tendency classification emotion expression extraction
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Clothing Parsing Based on Multi-Scale Fusion and Improved Self-Attention Mechanism 认领 引用 被引量：1
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作者 陈诺 王绍宇 +3 位作者 陆然 李文萱 覃志东 石秀金 《Journal of Donghua University(English Edition)》 CAS 2023年第6期661-666,共6页
Due to the lack of long-range association and spatial location information,fine details and accurate boundaries of complex clothing images cannot always be obtained by using the existing deep learning-based methods.Th... Due to the lack of long-range association and spatial location information,fine details and accurate boundaries of complex clothing images cannot always be obtained by using the existing deep learning-based methods.This paper presents a convolutional structure with multi-scale fusion to optimize the step of clothing feature extraction and a self-attention module to capture long-range association information.The structure enables the self-attention mechanism to directly participate in the process of information exchange through the down-scaling projection operation of the multi-scale framework.In addition,the improved self-attention module introduces the extraction of 2-dimensional relative position information to make up for its lack of ability to extract spatial position features from clothing images.The experimental results based on the colorful fashion parsing dataset(CFPD)show that the proposed network structure achieves 53.68%mean intersection over union(mIoU)and has better performance on the clothing parsing task. 展开更多
关键词 clothing parsing convolutional neural network multi-scale fusion self-attention mechanism vision Transformer
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Residual Network with Enhanced Positional Attention and Global Prior for Clothing Parsing 认领 引用 被引量：1
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作者 WANG Shaoyu HU Yun +3 位作者 ZHU Yian YE Shaoping QIN Yanxia SHI Xiujin 《Journal of Donghua University(English Edition)》 CAS 2022年第5期505-510,共6页
Clothing parsing, also known as clothing image segmentation, is the problem of assigning a clothing category label to each pixel in clothing images. To address the lack of positional and global prior in existing cloth... Clothing parsing, also known as clothing image segmentation, is the problem of assigning a clothing category label to each pixel in clothing images. To address the lack of positional and global prior in existing clothing parsing algorithms, this paper proposes an enhanced positional attention module(EPAM) to collect positional information in the vertical direction of each pixel, and an efficient global prior module(GPM) to aggregate contextual information from different sub-regions. The EPAM and GPM based residual network(EG-ResNet) could effectively exploit the intrinsic features of clothing images while capturing information between different scales and sub-regions. Experimental results show that the proposed EG-ResNet achieves promising performance in clothing parsing of the colorful fashion parsing dataset(CFPD)(51.12% of mean Intersection over Union(mIoU) and 92.79% of pixel-wise accuracy(PA)) compared with other state-of-the-art methods. 展开更多
关键词 clothing parsing convolutional neural network positional attention global prior
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A Modular Incremental Model for English Full Parsing 认领 引用
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作者 孟遥 Li +4 位作者 Sheng Zhao Tiejun Zhang Jing 《High Technology Letters》 EI CAS 2003年第2期57-60,共4页
In this paper, we present a modular incremental statistical model for English full parsing. Unlike other full parsing approaches in which the analysis of the sentence is a uniform process, our model separates the full... In this paper, we present a modular incremental statistical model for English full parsing. Unlike other full parsing approaches in which the analysis of the sentence is a uniform process, our model separates the full parsing into shallow parsing and sentence skeleton parsing. In shallow parsing, we finish POS tagging, Base NP identification, prepositional phrase attachment and subordinate clause identification. In skeleton parsing, we use a layered feature-oriented statistical method. Modularity possesses the advantage of solving different problems in parsing with corresponding mechanisms. Feature-oriented rule is able to express the complex lingual phenomena at the key point if needed. Evaluated on Penn Treebank corpus, we obtained 89.2% precision and 89.8% recall. 展开更多
关键词 incremental statistical model shallow parsing skeleton parsing feature-oriented rule
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Optimization of Mobile Network Radio Coverage by Automating Radio Parameter Updates Using Parsing 认领 引用
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作者 Patrick Dany Bavoua Kenfack Alphonse Binele Abana +2 位作者 Emmanuel Tonye Nadège Laure Bemehemie William Tchofo Tchouleko 《Journal of Computer and Communications》 2023年第4期79-102,共24页
The present work aims is to propose a solution for automating updates (MAJ) of the radio parameters of the ATOLL database from the OSS NetAct using Parsing. Indeed, this solution will be operated by the RAN (Radio Acc... The present work aims is to propose a solution for automating updates (MAJ) of the radio parameters of the ATOLL database from the OSS NetAct using Parsing. Indeed, this solution will be operated by the RAN (Radio Access Network) service of mobile operators, which ensures the planning and optimization of network coverage. The overall objective of this study is to make synchronous physical data of the sites deployed in the field with the ATOLL database which contains all the data of the coverage of the mobile networks of the operators. We have made an application that automates, updates with the following functionalities: import of radio parameters with the parsing method we have defined, visualization of data and its export to the Template of the ATOLL database. The results of the tests and validations of our application developed for a 4G network have made it possible to have a solution that performs updates with a constraint on the size of data to be imported. Our solution is a reliable resource for updating the databases containing the radio parameters of the network at all mobile operators, subject to a limitation in terms of the volume of data to be imported. 展开更多
关键词 Radio Parameters Parsing ATOLL Database OSS NetAct ETL
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Performance Enhancement of XML Parsing Using Regression and Parallelism 认领 引用
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作者 Muhammad Ali Minhaj Ahmad Khan 《Computer Systems Science & Engineering》 2024年第2期287-303,共17页
The Extensible Markup Language(XML)files,widely used for storing and exchanging information on the web require efficient parsing mechanisms to improve the performance of the applications.With the existing Document Obj... The Extensible Markup Language(XML)files,widely used for storing and exchanging information on the web require efficient parsing mechanisms to improve the performance of the applications.With the existing Document Object Model(DOM)based parsing,the performance degrades due to sequential processing and large memory requirements,thereby requiring an efficient XML parser to mitigate these issues.In this paper,we propose a Parallel XML Tree Generator(PXTG)algorithm for accelerating the parsing of XML files and a Regression-based XML Parsing Framework(RXPF)that analyzes and predicts performance through profiling,regression,and code generation for efficient parsing.The PXTG algorithm is based on dividing the XML file into n parts and producing n trees in parallel.The profiling phase of the RXPF framework produces a dataset by measuring the performance of various parsing models including StAX,SAX,DOM,JDOM,and PXTG on different cores by using multiple file sizes.The regression phase produces the prediction model,based on which the final code for efficient parsing of XML files is produced through the code generation phase.The RXPF framework has shown a significant improvement in performance varying from 9.54%to 32.34%over other existing models used for parsing XML files. 展开更多
关键词 Regression parallel parsing multi-cores XML
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Macular epiretinal membrane in high myopia:timing and prognosis of pars plana vitrectomy surgery 认领 引用 被引量：1
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作者 Yu-Tong Xia Jia-Yun Ge +5 位作者 Zong-Chan Zhang Li-Yue Zhang Ying-Ying Wen Ying Xie Ye Shen Jian-Ping Tong 《International Journal of Ophthalmology(English edition)》 SCIE CAS 2025年第9期1689-1696,共8页
AIM:To investigate the outcomes and prognosis of macular epiretinal membrane(ERM)after pars plana vitrectomy(PPV)in patients with high myopia(HM),focusing on the optimal timing of surgery and its impact on prognosis.M... AIM:To investigate the outcomes and prognosis of macular epiretinal membrane(ERM)after pars plana vitrectomy(PPV)in patients with high myopia(HM),focusing on the optimal timing of surgery and its impact on prognosis.METHODS:The clinical data of 50 eyes from 49 patients diagnosed with ERM,who were highly myopic and underwent PPV were retrospectively analyzed.The patients with ERM were classified into five groups based on the characteristics associated with different levels of myopic traction maculopathy.Group 1:Simple ERM without complex vertical and tangential direction traction on retina on optical coherence tomography(OCT)image;Group 2:ERM with obvious macular foveal schisis,without macular hole(MH);Group 3:ERM with inner lamellar MH,with or without macular foveal schisis;Group 4:ERM with outer lamellar MH,with or without foveal retinal detachment(RD);Group 5:ERM with full-thickness MH.Baseline characteristics,changes in best corrected visual acuity(BCVA)before and after surgery,and anatomical characteristics through spectral domain OCT were compared.RESULTS:The 50 eyes were followed for 6mo,with an average age of 58.66y and an average axial length(AL)of 28.69 mm.Among the five groups,postoperative logMAR BCVA improved(P0.05).OCT showed that Groups 4 and 5 exhibited poorer macular anatomy compared to the other three groups,as evidenced by lower rates of central retinal reattachment(64.3%in Group 4,86.7%in Group 5)and integrity of the inner segment/outer segment of photoreceptor junction(28.6%in Group 4,26.7%in Group 5).CONCLUSION:PPV is an effective treatment for ERM in patients with HM.All groups showed postoperative improvement in BCVA compared to preoperative levels,demonstrating the necessity of surgical intervention.Early intervention,particularly before the fourth stage of the disease,may lead to better visual outcomes. 展开更多
关键词 epiretinal membrane myopic traction maculopathy pars plana vitrectomy high myopia visual acuity
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Safety and immunogenicity of RAZI Cov Pars(RCP)vaccine in children and adolescents aged 5-17 years:An open-label,single arm trial 认领 引用
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作者 Mohammad Hossein Fallah Mehrabadi Mojtaba Noofeli +19 位作者 Saeed Kalantari Masoud Solaymani Dodaran Mohammad Hasan Rabiee Ali Eshaghi Ali Rezaei Mokarram Seyed Hossein Razaz Monireh Hajimoradi Fariba Sadeghi Fazel Ladan Mokhberalsafa Maryam Taghdiri Mohsen Bagheri Rezvan Golmoradizadeh Elahe Bahari Roya Mostafaie Maryam Raghami Derakhshani Elaheh Ghalehnovi Safdar Masoumi NiloufarGharavi Vahideh Mohseni Seyed Reza Banihashemi 《Asian Pacific Journal of Tropical Medicine》 SCIE CAS 2025年第7期302-312,共11页
Objective:To investigate the safety and immunogenicity of the RAZI Cov Pars(RCP)vaccine in children and adolescents aged 5-17 years.Methods:In this open-label,single arm trial,26 of the 68 registered volunteers met th... Objective:To investigate the safety and immunogenicity of the RAZI Cov Pars(RCP)vaccine in children and adolescents aged 5-17 years.Methods:In this open-label,single arm trial,26 of the 68 registered volunteers met the inclusion criteria.The participants reccived RCP vaccinc twice intramuscularly(on days 0 and 21)and intranasally on day 51.Safety was assessed up to 6 months after the second dose.Immunogenicity was assessed on days 35,90,and 180 by measuring ncutralizing antibody levels as well as anti-RBD and anti-S,IgG antibodies.Results:Among the 26 volunteers,22 were in the age group of 5-11 years,and 4 were in the agc group of 12-17 years.No grade 3 or higher local or systemic adverse reactions were reported one weck after vaccination.Sixabnormal laboratory findings were observed after both vaccine doses,none of which were classified as grade 3 or higher.During a total follow-up period of 3875 person-years,31 adverse events were recorded(incidence rate:0.008).The scroconversion rates for VNT,anti-RBD and anti-S:IgGantibodies two wecks after recciving the second dose were 72.7%,76.2%and 80.9%,respectively.In the 5-11 year agc group,the scroconversion rates for VNT,anti-RBDand anti-S1 were 78.9%,83.3%and 88.9%,respectively.Conclusions:Intramuscular and intranasal administration of the RCPvaccine did not lead to scrious adverse events in any of the children or adolescents.The vaccine clicited a robust response in the 5-11 year age group two wecks after the second dose.Considering that this group reccived half of the adult vaccine dose,these results support the suitability of this dose for the study group. 展开更多
关键词 RAZI Cov Pars vaccine Trial Children Adolescent
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