AIM: To investigate the rate of Helicobacter pylori (H. pylori) resistance to clarithromycin among ethnic minority patients in Guangxi, explore the underlying mechanisms, and analyze factors influencing genotype distr...AIM: To investigate the rate of Helicobacter pylori (H. pylori) resistance to clarithromycin among ethnic minority patients in Guangxi, explore the underlying mechanisms, and analyze factors influencing genotype distribution of H. pylori isolates.展开更多
The connotation of rural public goods is expounded.The rural public goods refer to the products and labors that satisfy the production and living of rural residents,economic growth and social progress.The rural public...The connotation of rural public goods is expounded.The rural public goods refer to the products and labors that satisfy the production and living of rural residents,economic growth and social progress.The rural public goods is characterized by non-excludability,non-competitiveness and indispensability of other general public goods.The supply situation of Chinese government to rural public goods is analyzed,as well as the demand situation of rural public goods,which includes farmers' demand on training,the assistance demand of rural weak groups,farmers' demand on comfortable living conditions and farmers' demand on "soft" public goods.The paths for innovating the supply mechanism of rural public goods are put forward,which cover perfecting the decision mechanism of public goods supply;scientifically distributing the supply responsibility of rural public goods;facilitating the reform of each supporting equipment and exploring the multiple capital collecting channels of rural public goods.展开更多
Using acridine dyes as sensitizers,the photoisomerization of three norbornadiene derivatives was investigated.The valence isomerization of nor- bornadiene derivatives(Ⅰ_a,Ⅰ_b,Ⅰ_c)gave their corresponding isomers of...Using acridine dyes as sensitizers,the photoisomerization of three norbornadiene derivatives was investigated.The valence isomerization of nor- bornadiene derivatives(Ⅰ_a,Ⅰ_b,Ⅰ_c)gave their corresponding isomers of quadri- cyclane(Ⅱ_a,Ⅱ_b,Ⅱ_c)operating with relatively high efficiency in an electron transfer mode.Their quantum yields of isomerization were determined and the reaction mechanism was discussed.展开更多
In recent years,blockchain technology integration and application has gradually become an important driving force for new technological innovation and industrial transformation.While blockchain technology and applicat...In recent years,blockchain technology integration and application has gradually become an important driving force for new technological innovation and industrial transformation.While blockchain technology and applications are developing rapidly,the emerging security risks and obstacles have gradually become prominent.Attackers can still find security issues in blockchain systems and conduct attacks,causing increasing losses from network attacks every year.In response to the current demand for blockchain application security detection and assessment in all industries,and the insufficient coverage of existing detection technologies such as smart contract detectiontechnology,this paper proposes a blockchain core technology security assessment system model,and studies the relevant detection and assessment key technologies and systems.A security assessment scheme based on a smart contract and consensus mechanism detection scheme is designed.And the underlying blockchain architecture supports the traceability of detection results using super blockchains.Finally,the functionality and performance of the system were tested,and the test results show that the model and solutions proposed in this paper have good feasibility.展开更多
针对烟草领域中问句意图识别存在的特征稀疏、术语繁多和捕捉文本内部的语义关联困难等问题,提出了一种基于SBERT-Attention-LDA(Sentence-bidirectional encoder representational from transformers-Attention mechanism-Latent diric...针对烟草领域中问句意图识别存在的特征稀疏、术语繁多和捕捉文本内部的语义关联困难等问题,提出了一种基于SBERT-Attention-LDA(Sentence-bidirectional encoder representational from transformers-Attention mechanism-Latent dirichlet allocation)与ML-LSTM(Multi layers-Long short term memory)特征融合的问句意图识别方法。该方法首先基于SBERT预训练模型和Attention机制对烟草问句进行动态编码,转换为富含语义信息的特征向量,同时利用LDA模型建模出问句的主题向量,捕捉问句中的主题信息;然后通过更改后的模型级特征融合方法ML-LSTM获得具有更为完整、准确问句语义的联合特征表示;再使用3通道的卷积神经网络(Convolutional neural network,CNN)提取问句混合语义表示中隐藏特征,输入到全连接层和Softmax函数中实现对问句意图的分类。基于烟草行业权威网站上获取的数据集开展了实验验证,实验结果表明,所提方法相比其他几种深度学习结合注意力机制的方法精确率、召回率和F1值上有显著提升,与BERT和ERNIE(Enhanced representation through knowledge integration and embedding)-CNN模型相比提升明显,F1值分别提升2.07、2.88个百分点。展开更多
基金Supported by Nature Science Foundation of Guangxi,No.2012GXNSFAA053172The School to School and Enterprise to build the innovation platform in 2013,Guangxi Scientific Research,No.2013-8
文摘AIM: To investigate the rate of Helicobacter pylori (H. pylori) resistance to clarithromycin among ethnic minority patients in Guangxi, explore the underlying mechanisms, and analyze factors influencing genotype distribution of H. pylori isolates.
文摘The connotation of rural public goods is expounded.The rural public goods refer to the products and labors that satisfy the production and living of rural residents,economic growth and social progress.The rural public goods is characterized by non-excludability,non-competitiveness and indispensability of other general public goods.The supply situation of Chinese government to rural public goods is analyzed,as well as the demand situation of rural public goods,which includes farmers' demand on training,the assistance demand of rural weak groups,farmers' demand on comfortable living conditions and farmers' demand on "soft" public goods.The paths for innovating the supply mechanism of rural public goods are put forward,which cover perfecting the decision mechanism of public goods supply;scientifically distributing the supply responsibility of rural public goods;facilitating the reform of each supporting equipment and exploring the multiple capital collecting channels of rural public goods.
基金the authors thank the help of professor Liang Xiao-guangZhang Bao-wen and Tung Chen-ho of our Institute
文摘Using acridine dyes as sensitizers,the photoisomerization of three norbornadiene derivatives was investigated.The valence isomerization of nor- bornadiene derivatives(Ⅰ_a,Ⅰ_b,Ⅰ_c)gave their corresponding isomers of quadri- cyclane(Ⅱ_a,Ⅱ_b,Ⅱ_c)operating with relatively high efficiency in an electron transfer mode.Their quantum yields of isomerization were determined and the reaction mechanism was discussed.
基金supported by Education and Scientific Research Special Project of Fujian Provincial Department of Finance(Research on the Application of Blockchain Technology in Prison Law Enforcement Management),Fujian Provincial Social Science Foundation Public Security Theory Research Project(FJ2023TWGA004).
文摘In recent years,blockchain technology integration and application has gradually become an important driving force for new technological innovation and industrial transformation.While blockchain technology and applications are developing rapidly,the emerging security risks and obstacles have gradually become prominent.Attackers can still find security issues in blockchain systems and conduct attacks,causing increasing losses from network attacks every year.In response to the current demand for blockchain application security detection and assessment in all industries,and the insufficient coverage of existing detection technologies such as smart contract detectiontechnology,this paper proposes a blockchain core technology security assessment system model,and studies the relevant detection and assessment key technologies and systems.A security assessment scheme based on a smart contract and consensus mechanism detection scheme is designed.And the underlying blockchain architecture supports the traceability of detection results using super blockchains.Finally,the functionality and performance of the system were tested,and the test results show that the model and solutions proposed in this paper have good feasibility.
文摘针对烟草领域中问句意图识别存在的特征稀疏、术语繁多和捕捉文本内部的语义关联困难等问题,提出了一种基于SBERT-Attention-LDA(Sentence-bidirectional encoder representational from transformers-Attention mechanism-Latent dirichlet allocation)与ML-LSTM(Multi layers-Long short term memory)特征融合的问句意图识别方法。该方法首先基于SBERT预训练模型和Attention机制对烟草问句进行动态编码,转换为富含语义信息的特征向量,同时利用LDA模型建模出问句的主题向量,捕捉问句中的主题信息;然后通过更改后的模型级特征融合方法ML-LSTM获得具有更为完整、准确问句语义的联合特征表示;再使用3通道的卷积神经网络(Convolutional neural network,CNN)提取问句混合语义表示中隐藏特征,输入到全连接层和Softmax函数中实现对问句意图的分类。基于烟草行业权威网站上获取的数据集开展了实验验证,实验结果表明,所提方法相比其他几种深度学习结合注意力机制的方法精确率、召回率和F1值上有显著提升,与BERT和ERNIE(Enhanced representation through knowledge integration and embedding)-CNN模型相比提升明显,F1值分别提升2.07、2.88个百分点。
