检索结果-南通市图书馆

Keyphrase Generation Based on Self-Attention Mechanism

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2019年第8期61卷 569-581页

作者： kehua yang Yaodong Wang Wei Zhang Jiqing Yao Yuquan Le College of Computer Science and Electronic Engineering and Key Laboratory for Embedded and Network Computing of Hunan Province Hunan UniversityChangsha410082China Oath Verizon Company ManhattanNew York10007USA

Keyphrase greatly provides summarized and valuable *** information can help us not only understand text semantics,but also organize and retrieve text content *** task of automatically generating it has received considerable attention in recent *** the previous studies,we can see many workable solutions for obtaining *** method is to divide the content to be summarized into multiple blocks of text,then we rank and select the most important *** disadvantage of this method is that it cannot identify keyphrase that does not include in the text,let alone get the real semantic meaning hidden in the *** approach uses recurrent neural networks to generate keyphrases from the semantic aspects of the text,but the inherently sequential nature precludes parallelization within training examples,and distances have limitations on context *** works have demonstrated the benefits of the self-attention mechanism,which can learn global text dependency features and can be *** by the above observation,we propose a keyphrase generation model,which is based entirely on the self-attention *** is an encoder-decoder model that can make up the above disadvantage *** addition,we also consider the semantic similarity between keyphrases,and add semantic similarity processing module into the *** proposed model,which is demonstrated by empirical analysis on five datasets,can achieve competitive performance compared to baseline methods.

关键词： Keyphrase generation self-attention mechanism encoder-decoder framework

Multi-Label Learning Based on Transfer Learning and Label Correlation

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2019年第7期61卷 155-169页

作者： kehua yang Chaowei She Wei Zhang Jiqing Yao Shaosong Long College of Computer Science and Electronic Engineering and Key Laboratory for Embedded and Network Computing of Hunan Province Hunan UniversityChangsha410082China Oath Verizon Company ManhattanNew York10007USA

In recent years,multi-label learning has received a lot of ***,most of the existing methods only consider global label correlation or local label *** fact,on the one hand,both global and local label correlations can appear in real-world situation at same *** the other hand,we should not be limited to pairwise labels while ignoring the high-order label *** this paper,we propose a novel and effective method called GLLCBN for multi-label ***,we obtain the global label correlation by exploiting label semantic ***,we analyze the pairwise labels in the label space of the data set to acquire the local ***,we build the original version of the label dependency model by global and local label *** that,we use graph theory,probability theory and Bayesian networks to eliminate redundant dependency structure in the initial version model,so as to get the optimal label dependent ***,we obtain the feature extraction model by adjusting the Inception V3 model of convolution neural network and combine it with the GLLCBN model to achieve the multi-label *** experimental results show that our proposed model has better performance than other multi-label learning methods in performance evaluating.

关键词： Bayesian networks multi-label learning global and local label correlations transfer learning

Personalized News Recommendation Based on the Text and Image Integration

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2020年第7期64卷 557-570页

作者： kehua yang Shaosong Long Wei Zhang Jiqing Yao Jing Liu College of Computer Science and Electronic Engineering and Key Laboratory for Embedded and Network Computing of Hunan Province Hunan UniversityChangsha410082China Oath Verizon Company New York10007USA

The personalized news recommendation has been very popular in the news recommendation *** most research,the picture information in the news is ignored,but the information conveyed to the users through pictures is more intuitive and more likely to affect the users’reading interests than the one in the textual ***,in this paper,a model that combines images and texts in the news is *** this model,the new tags are extracted from the images and texts in the news,and based on these new tags,an adaptive tag(AT)algorithm is *** AT algorithm selects the tags the user is interested in based on the user *** particular,the AT algorithm can predict tags that a user may be interested in with the help of the tag correlation graph without any user *** proposed AT algorithm is verified by *** experimental results verified the AT algorithm regarding three evaluation indexes F1-score(F1),area under curve(AUC)and mean reciprocal rank(MRR).The recommended effect of the proposed algorithm is found to be better than those of the various baseline algorithms on real-world datasets.

关键词： News recommendation F1 AUC MRR feedback correlation graph

Perioperative psychological issues and nursing care among patients undergoing minimally invasive surgeries

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Laparoscopic, Endoscopic and Robotic Surgery 2022年第3期5卷 92-99页

作者： kehua yang Xu Shao Xinghui Lv Feimin yang Qunyan Shen Jing Fang Wei Chen Department of Psychiatry Sir Run Run Shaw HospitalZhejiang University School of MedicineHangzhou 310016China Department of Psychology and Behavioral Sciences Zhejiang UniversityHangzhou 310028China

Minimally invasive surgeries,including laparoscopic,endoscopic,and robotic surgeries,have gained great popularity and have gradually replaced conventional open ***,patients may have perioperative psychological issues such as anxiety,depression,sleep disturbance,and delirium.A comprehensive literature review was conducted to identify how these psychological issues occur in minimally invasive surgeries and how nurses can take better care of patients to alleviate these *** papers focusing on psychological issues during the perioperative period were included in the re-view,and preexisting issues before the setting of surgical treatment plan were not *** to conventional surgeries,the incidence of postoperative anxiety,preoperative depression,and sleep disturbance is lower in minimally invasive surgeries,the incidence of postoperative depression may be higher with limited evidence,and the incidence of preoperative anxiety and delirium is *** perioperative nursing programs not only alleviate psychological issues,but also reduce postsurgical complications and accelerate ***,special nursing programs to handle delirium are lacking.

关键词： Anxiety Delirium Depression Nursing care Sleep disturbance

有效讨论课堂的构建——以计算机系统课程为例

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

软件导刊 2025年第2期24卷 187-192页

作者：黄丽达赵欢杨科华刘彦佘兢克肖雄仁谢国琪湖南大学信息科学与工程学院湖南长沙410082

以构建有效的讨论课堂为目标,以计算机系统课程为例,根据学生对讨论课的真实反馈,围绕学生学习如何讨论以及讨论中如何学习的关键问题,从讨论问题设计、讨论课实施环节动态调整、多元评价机制协同几个方面构建有效的讨论课堂。师生以教... 详细信息

以构建有效的讨论课堂为目标,以计算机系统课程为例,根据学生对讨论课的真实反馈,围绕学生学习如何讨论以及讨论中如何学习的关键问题,从讨论问题设计、讨论课实施环节动态调整、多元评价机制协同几个方面构建有效的讨论课堂。师生以教学共同体的方式参与到讨论课堂的课前、课中、课后各个阶段,促进学生成长型思维和知识迁移能力的提升,激发其参与度与获得感。对授课前和结课后的教学数据进行分析,发现学生对讨论课学习效果的自评平均分提高了55%以上,讨论题解决方案质量提升了45%,有效参与度增加了81%,在以学生为中心的课堂中提升了教学效能。

关键词：有效讨论计算机系统以学生为中心课堂参与多元评价

基于维层次性的Data Cube存储优化方法

在线全文

学校读者我要写书评

暂无评论

东南大学学报（自然科学版） 2005年第4期35卷 524-527页

作者：杨科华胡孔法东南大学计算机科学与工程系南京210096

根据DataCube模式中维的层次性,提出了层次式B+树及维层次编码的概念,并应用于层次树形Cube(HTCube)方法中.HTCube将维划分为聚集维与分析维,在分析维上利用层次式B+树除去了冗余数据,并在查询过程中形成维层次编码,在聚集维上则利用维... 详细信息

根据DataCube模式中维的层次性,提出了层次式B+树及维层次编码的概念,并应用于层次树形Cube(HTCube)方法中.HTCube将维划分为聚集维与分析维,在分析维上利用层次式B+树除去了冗余数据,并在查询过程中形成维层次编码,在聚集维上则利用维层次编码组合而成的分析维编码进行索引,从而可以高效地检索到聚集值.理论分析和实验证明,该方法不但节省了存储空间,而且可利用层次信息高效地进行各种OLAP查询,为DataCube模式更新、OLAP查询导航和OLAP查询行为分析的实现提供了可能.

关键词：层次树形Cube 层次式B^+树维层次编码联机分析处理

在线全文

学校读者我要写书评

暂无评论

语义Cube的层次聚类方法

计算机研究与发展 2005年第11期42卷 1989-1996页

作者：杨科华董逸生胡孔法东南大学计算机科学与工程系南京210096

在DataCube语义特性及模式中维的层次性基础上提出了多维数据之间的等价关系≡HCov,对DataCube进行层次聚类·该方法的优点在于用等价类的方法保存了所有聚集记录,同时定义了等价类之间的关系,以保存聚集记录之间的层次信息·理论分析... 详细信息

在DataCube语义特性及模式中维的层次性基础上提出了多维数据之间的等价关系≡HCov,对DataCube进行层次聚类·该方法的优点在于用等价类的方法保存了所有聚集记录,同时定义了等价类之间的关系,以保存聚集记录之间的层次信息·理论分析和实验证明,该方法不但节省了存储空间,而且利用聚类信息及层次信息,可高效的进行各种OLAP查询,以及支持多维数据上的上钻下钻、旋转等Cube语义操作·同时,为OLAP查询导航、OLAP查询行为分析的实现提供了可能·

关键词：语义Cube 层次聚类 OLAP

Dietary carbohydrate intake and risk of type 2 diabetes:a 16-year prospective cohort study

在线全文

学校读者我要写书评

暂无评论

Science China Life Sciences 2025年

作者： Lu Gan Yi yang Bin Zhao Kai Yu kehua Guo Fang Fang Zhiguang Zhou Demetrius Albanes Jiaqi Huang Key Laboratory of Diabetes Immunology Ministry of Education and Department of Metabolism and Endocrinology The Second Xiangya Hospital of Central South University CSU-Sinocare Research Center for Nutrition and Metabolic Health Xiangya School of Public Health Central South UniversityFurong Laboratory Division of Cancer Epidemiology and Genetics National Cancer Institute NIH Department of Health and Human Services School of Computer Science and Engineering Central South University Institute of Environmental Medicine Karolinska Institute National Clinical Research Center for Metabolic Diseases Key Laboratory of Diabetes Immunology Ministry of Education and Department of Metabolism and Endocrinology The Second Xiangya Hospital of Central South University

Despite considerable research underscoring the importance of carbohydrate intake in relation to the risk of type 2 diabetes(T2D), a comprehensive assessment of this relationship is currently lacking. We aimed to examine the associations of various types and food sources of dietary carbohydrate intake with the risk of T2D, to evaluate potential effect modification by other factors, including genetic susceptibility,and to explore the potential mediators for such associations. The present study included 161,872 participants of the UK Biobank who were free of prevalent cancer, cardiovascular disease, or diabetes, and had at least one validated 24-h dietary recall assessment. Multivariableadjusted age-stratified Cox proportional hazard regression models were applied to estimate hazard ratios(HRs) and 95% confidence intervals(CI) for the associations of various types and food sources of dietary carbohydrate intake with risk of T2D. During a median follow-up of13.6 years, 4,176 incident cases of T2D were identified. In the multivariable-adjusted models, a greater intake of fiber, carbohydrates from whole grains, and carbohydrates from non-starchy vegetables was significantly associated with a lower risk of T2D(highest vs. lowest quantile, HR [95% CI]=0.70 [0.62–0.79], 0.74 [0.67–0.82], and 0.83 [0.75–0.92], respectively, all P for trend <0.005). In contrast, a higher intake of starch and carbohydrate from starchy vegetables was associated with an increased risk of T2D(highest vs. lowest quantile, HR [95%CI]=1.31 [1.16–1.48] and 1.19 [1.09–1.31], respectively, both P for trend <0.005). Replacing one serving of refined grains or starchy vegetables with an equal amount of whole grains or non-starchy vegetables was associated with 4% to 10% lower risk of T2D(all P values <0.001).The observed associations were generally similar across population subgroups, including individuals with different genetic susceptibility to T2D. Mediation analyses of the inverse association between T

关键词：

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

基于多维数据集层次的可扩展存储结构

计算机工程 2005年第13期31卷 67-69,86页

作者：杨科华郑红英王海峰东南大学计算机科学与工程系南京210096

在保存多维数据集数据的过程中,引入了层次式B+树的概念,提出了用层次聚集CUBE的方法,不仅可以利用所保存的层次信息优化OLAP聚集查询操作,而且使得多维数据集模式更新操作成为可能。同时,层次聚集CUBE也可以看作是实视图的物化,可以根... 详细信息

在保存多维数据集数据的过程中,引入了层次式B+树的概念,提出了用层次聚集CUBE的方法,不仅可以利用所保存的层次信息优化OLAP聚集查询操作,而且使得多维数据集模式更新操作成为可能。同时,层次聚集CUBE也可以看作是实视图的物化,可以根据某种策略进行动态调整。

关键词：层次式B^+树层次聚集CUBE 在线分析处理